diff --git a/examples/PyMPDATA_examples/Arabas_and_Farhat_2020/fig_1.ipynb b/examples/PyMPDATA_examples/Arabas_and_Farhat_2020/fig_1.ipynb
index 230633fa..14f281f5 100644
--- a/examples/PyMPDATA_examples/Arabas_and_Farhat_2020/fig_1.ipynb
+++ b/examples/PyMPDATA_examples/Arabas_and_Farhat_2020/fig_1.ipynb
@@ -21,7 +21,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 1,
"metadata": {
"pycharm": {
"name": "#%%\n"
@@ -38,7 +38,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
@@ -52,7 +52,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
@@ -62,7 +62,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
@@ -74,9 +74,1924 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 5,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "image/svg+xml": [
+ "\n",
+ "\n",
+ "\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "04820d95f7344326a2a1bf1a7fbe071e",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "HBox(children=(HTML(value=\"./tmp3c5ffzq5.pdf
\"), HTML(value…"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"fig, ax1 = pyplot.subplots()\n",
"yscl = 1 / (settings.K2 - settings.K1)\n",
@@ -100,7 +2015,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
@@ -110,7 +2025,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
@@ -120,7 +2035,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
@@ -155,7 +2070,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.9.2"
+ "version": "3.13.5"
}
},
"nbformat": 4,
diff --git a/examples/PyMPDATA_examples/Arabas_and_Farhat_2020/fig_2.ipynb b/examples/PyMPDATA_examples/Arabas_and_Farhat_2020/fig_2.ipynb
index e3ad0131..599a702e 100644
--- a/examples/PyMPDATA_examples/Arabas_and_Farhat_2020/fig_2.ipynb
+++ b/examples/PyMPDATA_examples/Arabas_and_Farhat_2020/fig_2.ipynb
@@ -21,7 +21,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 1,
"metadata": {
"pycharm": {
"name": "#%%\n"
@@ -38,7 +38,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
@@ -51,7 +51,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
@@ -61,9 +61,1594 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 4,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "image/svg+xml": [
+ "\n",
+ "\n",
+ "\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "223b6a1913144884a0704176f38cba82",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "HBox(children=(HTML(value=\"./tmp7nt428pp.pdf
\"), HTML(value…"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"fig, ax = pyplot.subplots()\n",
"x = np.array(next(iter(data_C_err.values()))[0])\n",
@@ -87,7 +1672,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
@@ -101,7 +1686,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
@@ -113,20 +1698,6 @@
" assert np.mean(slope) >= 2.8"
]
},
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
{
"cell_type": "code",
"execution_count": null,
@@ -151,7 +1722,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.9.2"
+ "version": "3.13.5"
}
},
"nbformat": 4,
diff --git a/examples/PyMPDATA_examples/Arabas_and_Farhat_2020/fig_3.ipynb b/examples/PyMPDATA_examples/Arabas_and_Farhat_2020/fig_3.ipynb
index ae973280..a2d2549d 100644
--- a/examples/PyMPDATA_examples/Arabas_and_Farhat_2020/fig_3.ipynb
+++ b/examples/PyMPDATA_examples/Arabas_and_Farhat_2020/fig_3.ipynb
@@ -21,7 +21,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 1,
"metadata": {
"pycharm": {
"name": "#%%\n"
@@ -38,7 +38,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
@@ -51,7 +51,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
@@ -61,9 +61,1552 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 4,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "image/svg+xml": [
+ "\n",
+ "\n",
+ "\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "3f44c286fda3434386885f167001a57a",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "HBox(children=(HTML(value=\"./tmpz9wgdhoe.pdf
\"), HTML(value…"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"fig, ax = pyplot.subplots()\n",
"x = np.array(next(iter(data_l2_err.values()))[0])\n",
@@ -87,7 +1630,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
@@ -101,7 +1644,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
@@ -137,7 +1680,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.9.2"
+ "version": "3.13.5"
}
},
"nbformat": 4,