From 29310d46e7f20856d2afd9f476d1ad30761fdd31 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Wed, 25 Mar 2026 16:01:47 -0400 Subject: [PATCH 001/121] removed unused file --- correlations.ipynb | 76 ---------------------------------------------- 1 file changed, 76 deletions(-) delete mode 100644 correlations.ipynb diff --git a/correlations.ipynb b/correlations.ipynb deleted file mode 100644 index bc41300..0000000 --- a/correlations.ipynb +++ /dev/null @@ -1,76 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "27bb4241", - "metadata": {}, - "source": [ - "Compare correlations from literature" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "54710fee", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", - "T = np.linspace(900, 1000, 9) # K\n", - "\n", - "R = 8.314 # J/mol/K\n", - "\n", - "''' diffusivity correlations '''\n", - "D_calderoni = 9.3e-7 * np.exp(-42e3/(R*T)) # diffusivity of T in Li2BeF4 [m2/s], Calderoni 2008\n", - "D_T2_galashev = 10e-9 * (-44.1694 + 0.0517 * T) # [m2/s], T2, from galashev 2023\n", - "D_TF_galashev = 10e-9 * (-16.7199 + 0.0202 * T) # [m2/s], TF, from galashev 2023\n", - "\n", - "fig = plt.subplot (1,1,1)\n", - "plt.plot (T, D_calderoni, label='Calderoni 2008')\n", - "plt.plot (T, D_T2_galashev, label='Galashev 2023 - T2')\n", - "plt.plot (T, D_TF_galashev, label='Galashev 2023 - TF')\n", - "plt.xlabel('Temperature (K)')\n", - "plt.ylabel('Diffusivity (m²/s)')\n", - "plt.grid('both')\n", - "fig.set_yscale('log')\n", - "fig.minorticks_on()\n", - "plt.legend()\n", - "plt.show()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "libra_sparging", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.14.3" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} From 6a6be416bdd4a9175c51c0999ab6d9f4ea440403 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Wed, 25 Mar 2026 16:04:05 -0400 Subject: [PATCH 002/121] started adding pint --- main.py | 9 +++++++-- model.py | 3 ++- 2 files changed, 9 insertions(+), 3 deletions(-) diff --git a/main.py b/main.py index ed1696b..3a38a8e 100644 --- a/main.py +++ b/main.py @@ -1,6 +1,11 @@ import model import numpy as np +from pint import UnitRegistry + +ureg = UnitRegistry() +ureg.formatter.default_format = "~P" + ANIMATE = True SHOW_ACTIVITY = True @@ -85,9 +90,9 @@ def save_to_csv(array): # is it a useful feature ? merged_dict.update(params) merged_dict.update(properties) - t_sparging_hr = [0, 1e20] # time interval when sparger is ON + t_sparging_hr = [24, 1e20] # time interval when sparger is ON t_irr_hr = [0, 96] # time interval when irradiation is ON - t_final = 10 * model.days_to_seconds + t_final = 6 * model.days_to_seconds ( times, diff --git a/model.py b/model.py index d1d0f25..721367e 100644 --- a/model.py +++ b/model.py @@ -10,6 +10,7 @@ import warnings from dolfinx import log +from main import ureg m3_to_cm3 = 1e6 cm3_to_m3 = 1e-6 @@ -372,7 +373,7 @@ def compute_properties(params): def solve(params, t_final, t_irr: float | list, t_sparging: list = None): - dt = 1 * hours_to_seconds # s + dt = 0.2 * hours_to_seconds # s # unpack parameters tank_height, u_g0, a, h_l, K_s, P_0, T, eps_g, eps_l, E_g, D_l, source_T = ( params["tank_height"], From 1cd9713ba21fc76e3c62169e445f73e35bb4b53f Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Wed, 25 Mar 2026 17:20:08 -0400 Subject: [PATCH 003/121] fixed circular import --- model.py | 1 - 1 file changed, 1 deletion(-) diff --git a/model.py b/model.py index 150a43f..c5401d8 100644 --- a/model.py +++ b/model.py @@ -11,7 +11,6 @@ import warnings from datetime import datetime from dolfinx import log -from main import ureg import yaml import helpers From bcb64177527b505a39c287c7352d48e2c4c16385 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Wed, 25 Mar 2026 20:45:23 -0400 Subject: [PATCH 004/121] I/O file names less confusing --- .gitignore | 2 ++ helpers.py | 4 ++-- main.py | 14 ++++++++------ model.py | 11 +++++++---- 4 files changed, 19 insertions(+), 12 deletions(-) diff --git a/.gitignore b/.gitignore index 6cf3297..0a150b0 100644 --- a/.gitignore +++ b/.gitignore @@ -210,3 +210,5 @@ __marimo__/ *.yaml *.csv mwe.py +*.json +*.ipynb diff --git a/helpers.py b/helpers.py index ce675c9..7472add 100644 --- a/helpers.py +++ b/helpers.py @@ -4,8 +4,8 @@ # TODO this could be a dataclass? # see issue #3 -def get_input(input_path): - with open(input_path, "r") as file: +def get_input(yaml_input_path): + with open(yaml_input_path, "r") as file: params = yaml.safe_load(file) return params diff --git a/main.py b/main.py index a627051..2e2d1c9 100644 --- a/main.py +++ b/main.py @@ -11,14 +11,17 @@ ANIMATE = True SHOW_ACTIVITY = True -INPUT_PATH = os.path.join(os.getcwd(), sys.argv[1]) +YAML_INPUT_PATH = os.path.join(os.getcwd(), sys.argv[1]) OUTPUT_PATH = os.path.join( - os.getcwd(), sys.argv[1] + "_out" if len(sys.argv) < 3 else sys.argv[2] + os.getcwd(), + sys.argv[1].split(".")[0].replace("input", "output") + if len(sys.argv) < 3 + else sys.argv[2], ) if __name__ == "__main__": - params = get_input(INPUT_PATH + ".yaml") + params = get_input(YAML_INPUT_PATH) properties = model.compute_properties(params) # breakpoint() @@ -36,12 +39,11 @@ t_irr=[t * model.hours_to_seconds for t in t_irr_hr], t_sparging=[t * model.hours_to_seconds for t in t_sparging_hr], ) - # save_to_csv(c_T_volume) results.to_yaml(OUTPUT_PATH + ".yaml", inputs=params, properties=properties) results.to_json(OUTPUT_PATH + ".json", inputs=params, properties=properties) - results.profiles_to_csv(OUTPUT_PATH + "_profiles") - # breakpoint() + # results.profiles_to_csv(OUTPUT_PATH + "_profiles") + if ANIMATE is True: # Create interactive animation try: diff --git a/model.py b/model.py index c5401d8..04328b3 100644 --- a/model.py +++ b/model.py @@ -13,6 +13,7 @@ from dolfinx import log import yaml import helpers +import json @dataclass @@ -32,6 +33,9 @@ class SimulationResults: "x_ct", "x_y", "inventories_T2_salt", + "times", + "source_T2", + "fluxes_T2", ] def to_yaml(self, output_path: str, inputs: dict, properties: dict): @@ -58,9 +62,6 @@ def to_yaml(self, output_path: str, inputs: dict, properties: dict): yaml.dump(output, f, sort_keys=False) def to_json(self, output_path: str, inputs: dict, properties: dict): - import json - - # convert numpy arrays to lists for JSON serialization # structure the output output = { "metadata": { @@ -74,11 +75,13 @@ def to_json(self, output_path: str, inputs: dict, properties: dict): output["calculated properties"] = properties output["results"] = self.__dict__.copy() + # remove c_T2_solutions and y_T2_solutions from results to avoid dumping large arrays in yaml, they can be saved separately if needed for key in self.keys_to_ignore_output: output["results"].pop(key, None) for key, value in output.items(): if isinstance(value, np.ndarray): + # convert numpy arrays to lists for JSON serialization output[key] = value.tolist() print( "found list in results, converting to list for JSON serialization" @@ -88,9 +91,9 @@ def to_json(self, output_path: str, inputs: dict, properties: dict): json.dump(output, f, indent=3) def profiles_to_csv(self, output_path: str): + """save c_T2 and y_T2 profiles at all time steps to csv files, one for c_T2 and one for y_T2, with columns for each time step""" import pandas as pd - # save c_T2 and y_T2 profiles at the final time step to csv df_c_T2 = pd.DataFrame({"x": self.x_ct}) df_y_T2 = pd.DataFrame({"x": self.x_y}) From a3f11de0e29e0981d6ed11af440c685cb9bcde11 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Wed, 1 Apr 2026 22:09:08 -0400 Subject: [PATCH 005/121] implemented pint, structured input as a class --- .gitignore | 1 + main.py | 26 +-- model.py | 624 ++++++++++++++++++++++++++--------------------------- 3 files changed, 325 insertions(+), 326 deletions(-) diff --git a/.gitignore b/.gitignore index 0a150b0..60cb967 100644 --- a/.gitignore +++ b/.gitignore @@ -212,3 +212,4 @@ __marimo__/ mwe.py *.json *.ipynb +*.code-workspace diff --git a/main.py b/main.py index 2e2d1c9..3106586 100644 --- a/main.py +++ b/main.py @@ -4,10 +4,6 @@ from animation import create_animation from helpers import get_input -from pint import UnitRegistry - -ureg = UnitRegistry() -ureg.formatter.default_format = "~P" ANIMATE = True SHOW_ACTIVITY = True @@ -22,26 +18,32 @@ if __name__ == "__main__": params = get_input(YAML_INPUT_PATH) - properties = model.compute_properties(params) + sim_input = model.SimulationInput(params) - # breakpoint() - merged_dict = {} - merged_dict.update(params) - merged_dict.update(properties) + # merged_dict = {} + # merged_dict.update(params) + # merged_dict.update(properties) t_sparging_hr = [24, 1e20] # time interval when sparger is ON t_irr_hr = [0, 96] # time interval when irradiation is ON t_final = 6 * model.days_to_seconds + # results = model.solve( + # merged_dict, + # t_final=t_final, + # t_irr=[t * model.hours_to_seconds for t in t_irr_hr], + # t_sparging=[t * model.hours_to_seconds for t in t_sparging_hr], + # ) + results = model.solve( - merged_dict, + sim_input, t_final=t_final, t_irr=[t * model.hours_to_seconds for t in t_irr_hr], t_sparging=[t * model.hours_to_seconds for t in t_sparging_hr], ) - results.to_yaml(OUTPUT_PATH + ".yaml", inputs=params, properties=properties) - results.to_json(OUTPUT_PATH + ".json", inputs=params, properties=properties) + results.to_yaml(OUTPUT_PATH + ".yaml", sim_input.quantities_dict) + results.to_json(OUTPUT_PATH + ".json", sim_input.quantities_dict) # results.profiles_to_csv(OUTPUT_PATH + "_profiles") if ANIMATE is True: diff --git a/model.py b/model.py index 04328b3..dcdb920 100644 --- a/model.py +++ b/model.py @@ -1,3 +1,5 @@ +from __future__ import annotations + from mpi4py import MPI import dolfinx import basix @@ -10,11 +12,26 @@ import warnings from datetime import datetime -from dolfinx import log + +# from dolfinx import log import yaml import helpers import json +from pint import UnitRegistry +import inspect + +ureg = UnitRegistry() +ureg.formatter.default_format = "3e~P" +ureg.define("triton = 1 * particle = T") +ureg.define(f"molT = {const.N_A} * triton") +ureg.define(f"molT2 = 2 * {const.N_A} * triton") +ureg.define("neutron = 1 * particle = n") +ureg.define("sccm = 7.44e-7 mol/s") + +const_R = const.R * ureg("J/K/mol") # ideal gas constant +const_g = const.g * ureg("m/s**2") # gravitational acceleration + @dataclass class SimulationResults: @@ -38,7 +55,7 @@ class SimulationResults: "fluxes_T2", ] - def to_yaml(self, output_path: str, inputs: dict, properties: dict): + def to_yaml(self, output_path: str, sim_dict: dict): helpers.setup_yaml_numpy() @@ -49,10 +66,10 @@ def to_yaml(self, output_path: str, inputs: dict, properties: dict): "date": datetime.now().isoformat(), }, } - if inputs: - output["input parameters"] = inputs - if properties: - output["calculated properties"] = properties + if sim_dict.get("inputed"): + output["input parameters"] = sim_dict["inputed"] + if sim_dict.get("computed"): + output["calculated properties"] = sim_dict["computed"] output["results"] = self.__dict__.copy() # remove c_T2_solutions and y_T2_solutions from results to avoid dumping large arrays in yaml, they can be saved separately if needed for key in self.keys_to_ignore_output: @@ -61,7 +78,7 @@ def to_yaml(self, output_path: str, inputs: dict, properties: dict): with open(output_path, "w") as f: yaml.dump(output, f, sort_keys=False) - def to_json(self, output_path: str, inputs: dict, properties: dict): + def to_json(self, output_path: str, sim_dict: dict): # structure the output output = { "metadata": { @@ -69,10 +86,10 @@ def to_json(self, output_path: str, inputs: dict, properties: dict): "date": datetime.now().isoformat(), }, } - if inputs: - output["input parameters"] = inputs - if properties: - output["calculated properties"] = properties + if sim_dict.get("inputed"): + output["input parameters"] = sim_dict["inputed"] + if sim_dict.get("computed"): + output["calculated properties"] = sim_dict["computed"] output["results"] = self.__dict__.copy() # remove c_T2_solutions and y_T2_solutions from results to avoid dumping large arrays in yaml, they can be saved separately if needed @@ -108,11 +125,6 @@ def profiles_to_csv(self, output_path: str): df_y_T2.to_csv(output_path + "_y_T2.csv", index=False) -m3_to_cm3 = 1e6 -cm3_to_m3 = 1e-6 -m_to_cm = 1e2 -cm_to_m = 1e-2 -dynespercm_to_newtonpermeter = 1e-3 hours_to_seconds = 3600 days_to_seconds = 24 * hours_to_seconds T2_to_T = 2 @@ -121,34 +133,9 @@ def profiles_to_csv(self, output_path: str): EPS = 1e-26 U_G0_DEFAULT = 0.25 # m/s, typical bubble velocity according to Chavez 2021 VERBOSE = False -# log.set_log_level(log.LogLevel.INFO) - - -def get_rho_l(T: float) -> float: - """density of FLiBe [kg/m3], Vidrio 2022""" - return 2245 - 0.424 * (const.convert_temperature(T, "kelvin", "celsius")) - - -def get_mu_l(T: float) -> float: - """dynamic viscosity of FLiBe [Pa.s], Cantor 1968""" - return 0.116e-3 * np.exp(3755 / T) - - -def get_sigma_l(T: float) -> float: - """surface tension of FLiBe [N/m], Cantor 1968""" - return ( - 260 - 0.12 * (const.convert_temperature(T, "kelvin", "celsius")) - ) * dynespercm_to_newtonpermeter +SEPARATOR_KEYWORD = "from" - -def get_D_l(T: float) -> float: # TODO - """diffusivity of T in FLiBe [m2/s], Calderoni 2008""" - return 9.3e-7 * np.exp(-42e3 / (const.R * T)) - - -def get_K_s(T: float) -> float: - """solubility of T in FLiBe [mol/m3/Pa], Calderoni 2008""" - return 7.9e-2 * np.exp(-35e3 / (const.R * T)) +# log.set_log_level(log.LogLevel.INFO) def get_d_b(flow_g_vol: float, nozzle_diameter: float, nb_nozzle: int) -> float: @@ -156,95 +143,83 @@ def get_d_b(flow_g_vol: float, nozzle_diameter: float, nb_nozzle: int) -> float: mean bubble diameter [m], Kanai 2017 (reported by Evans 2026) """ nozzle_flow = flow_g_vol / nb_nozzle # volumetric flow per nozzle [m3/s] - if nozzle_flow < 3 * cm3_to_m3 or nozzle_flow > 10 * cm3_to_m3: + if nozzle_flow < ureg("3 cm**3/s") or nozzle_flow > ureg("10 cm**3/s"): warnings.warn( - f"nozzle flow {nozzle_flow * m3_to_cm3:.2e} cm3/s is out of the validated range for the Kanai 2017 correlation (3-10 cm3/s)" + f"nozzle flow {nozzle_flow.to('cm**3/s')} is out of the validated range for the Kanai 2017 correlation (3-10 cm3/s)" ) - return ( + return ureg.Quantity( 0.54 - * (nozzle_flow * m3_to_cm3 * np.sqrt(nozzle_diameter / 2 * m_to_cm)) ** 0.289 - * cm_to_m + * ( + nozzle_flow.to("cm**3/s").magnitude + * np.sqrt(nozzle_diameter.to("cm").magnitude / 2) + ) + ** 0.289, + "cm", ) -def get_Re(rho: float, mu: float, u: float, d: float, Re_old: float = 0) -> float: - """ - Reynolds number - """ - Re = rho * u * d / mu +def get_Re(input: SimulationInput) -> float: + try: + u = input.u_g0 + Re_old = input.Re + except AttributeError: + if VERBOSE: + print("in get_Re, use default bubble velocity") + u = U_G0_DEFAULT * ureg("m/s") + Re_old = 0 + + Re = input.rho_l * u * input.d_b / input.mu_l if ( Re_old != 0 and np.abs(np.log10(Re / Re_old)) > 1 ): # check if Reynolds number changed by more than an order of magnitude - warnings.warnngs.warn( - f"Re number changed significantly from {Re_old:.2e} to {Re:.2e}, bubble velocity u = {u:.2f} m/s might be off. Check assumed bubble velocity in initial Reynolds number calculation" + warnings.warn( + f"Re number changed significantly from {Re_old:.2e} to {Re:.2e}, bubble velocity u = {u} might be off. Check assumed bubble velocity in initial Reynolds number calculation" ) - return Re + return Re.to("dimensionless") -def get_u_g0( - Eo: float, Mo: float, mu_l: float, rho_l: float, d_b: float, Re: float -) -> float: +def get_u_g0(input: SimulationInput) -> float: # TODO move inside class ? """ bubble initial velocity [m/s], correlation for terminal velocity from Clift 1978 """ - H = 4 / 3 * Eo * Mo**-0.149 * (mu_l / 0.0009) ** -0.14 + H = (4 / 3 * input.Eo.magnitude * input.Mo.magnitude**-0.149) * ( + input.mu_l.magnitude / 0.0009 + ) ** -0.14 if H > 59.3: J = 3.42 * H**0.441 elif H > 2: J = 0.94 * H**0.757 else: - J = Re * Mo**0.149 + 0.857 + J = input.Re * input.Mo**0.149 + 0.857 warnings.warn( - f"Warning: low Reynolds number {Re:.2e}, bubble size d_b = {d_b} m might be too small." + f"Warning: low Reynolds number {input.Re:.2e}, bubble size d_b = {input.d_b} m might be too small." f"Clift correlation will use default value for bubble velocity u_g0 = {U_G0_DEFAULT} m/s" ) - u_g0 = mu_l / (rho_l * d_b) * Mo**-0.149 * (J - 0.857) - if u_g0 > 1 or u_g0 < 0.1: - warnings.warn( - f"Warning: bubble velocity {u_g0:.2f} m/s is out of the typical range" - ) + u_g0 = input.mu_l / (input.rho_l * input.d_b) * input.Mo**-0.149 * (J - 0.857) + if u_g0 > ureg("1 m/s") or u_g0 < ureg("0.1 m/s"): + warnings.warn(f"Warning: bubble velocity {u_g0} is out of the typical range") + return u_g0 -def get_eps_g( - T: float, - P_0: float, - flow_g_mol: float, - D: float, - d_b: float, - u_g: float, - sigma_l: float, -) -> float: +def get_eps_g(input: SimulationInput) -> float: """computes gas void fraction from ideal gas law and Young-Laplace pressure in the bubbles (neglecting hydrostatic pressure variation)""" eps_g = ( - const.R - * T - / (P_0 + 4 * sigma_l / d_b) - * flow_g_mol - / (np.pi * (D / 2) ** 2 * u_g) + const_R + * input.T + / (input.P_0 + 4 * input.sigma_l / input.d_b) + * input.flow_g + / (np.pi * (input.tank_diameter / 2) ** 2 * input.u_g0) ) if eps_g > 1 or eps_g < 0: - warnings.warn(f"Warning: unphysical gas fraction: {eps_g:.2f}") + warnings.warn(f"Warning: unphysical gas fraction: {eps_g}") elif eps_g > 0.1: warnings.warn( - f"Warning: high gas fraction: {eps_g:.2f}, models assumptions may not hold" + f"Warning: high gas fraction: {eps_g}, models assumptions may not hold" ) return eps_g -def get_h_l( - Re: float, Sc: float, D_l: float, d_b: float, u_g: float, corr_name: str = "briggs" -) -> float: - """mass transfer coefficient [m/s] for tritium in liquid FLiBe, computed using the specified correlation""" - match corr_name: - case "briggs": - return get_h_briggs(Re, Sc, D_l, d_b) - case "higbie": - return get_h_higbie(D_l, u_g, d_b) - case "malara": - return get_h_malara(D_l, d_b) - - def get_h_higbie(D_l: float, u_g: float, d_b: float) -> float: """mass transfer coefficient [m/s] for tritium in liquid FLiBe using Higbie penetration model""" h_l = ( @@ -269,227 +244,240 @@ def get_h_briggs(Re: float, Sc: float, D_l: float, d_b: float) -> float: return h_l -def get_source_T(input: dict) -> float: - """compute tritium generation source term [mol/m3/s] from TBR calculated by openMC for our geometry""" - tank_volume = np.pi * (input["D"] / 2) ** 2 * input["tank_height"] - return input["tbr"] * float(input["n_gen_rate"]) / (tank_volume * const.N_A) - - -def get_flow_g_mol(input: dict) -> float: - """convert gas flow from sccm to mol/s""" - T_standard = 0 # °C - P_standard = 101325 # Pa - min_to_sec = 60 - return ( - (input["flow_g_sccm"] * cm3_to_m3 / min_to_sec) - * P_standard - / (const.R * const.convert_temperature(T_standard, "celsius", "kelvin")) - ) - - def get_E_g(diameter: float, u_g: float) -> float: """gas phase axial dispersion coefficient [m2/s], Malara 1995 correlation models dispersion of the gas velocity distribution around the mean bubble velocity""" - E_g = 0.2 * diameter**2 * u_g + E_g = 0.2 * ureg("1/m") * diameter**2 * u_g return E_g -def _get( - params: dict, - key: str, - func: callable, - **kwargs, -): - """ - Get a parameter value from params dictionnary. - - - If key is missing: compute it with default correlation func(). - - If key exists and is numeric: use that value. - - If key exists and is a string: interpret it as a correlation name. - - Arguments: - - params: dictionnary of parameters - - key: name of the parameter to get (e.g. "d_b", "u_g0", "h_l", "eps_g", etc.) - - func: default correlation to compute the parameter if key is missing (e.g. get_d_b, get_u_g0, get_h_briggs, get_eps_g, etc.) - - correlations: dictionnary of available correlations to compute the parameter if key is a string - (e.g. {"kanai": get_d_b, "higbie": get_h_higbie, "malara": get_h_malara, "briggs": get_h_briggs, etc.}) - - kwargs: additional arguments to pass to the correlation function if key is a string - """ - if VERBOSE: - print(f"in _get() for {key}, passed parameters: {kwargs}") - if key in params: - value = params[key] - - if isinstance(value, str): - corr_name = value.lower() - kwargs.update({"corr_name": corr_name}) - value = func(**kwargs) +correlations_dict = { + "rho_l": lambda input: ureg.Quantity( + 2245 - 0.424 * input.T.to("celsius").magnitude, "kg/m**3" + ), # density of Li2BeF4, Vidrio 2022 + "mu_l": lambda input: ureg.Quantity( + 0.116e-3 * np.exp(3755 / input.T.to("kelvin").magnitude), "Pa*s" + ), # kinematic viscosity of Li2BeF4, Cantor 1968 + "sigma_l": lambda input: ureg.Quantity( + 260 - 0.12 * input.T.to("celsius").magnitude, "dyn/cm" + ).to("N/m"), # surface tension of Li2BeF4,Cantor 1968 + "D_l": lambda input: ureg.Quantity( + 9.3e-7 * np.exp(-42e3 / (const.R * input.T.to("kelvin").magnitude)), "m**2/s" + ), # diffusivity of T in FLiBe, Calderoni 2008 + "K_s": lambda input: ureg.Quantity( + 7.9e-2 * np.exp(-35e3 / (const.R * input.T.to("kelvin").magnitude)), + "mol/m**3/Pa", + ), # solubility of T in FLiBe, Calderoni 2008 + "d_b": lambda input: get_d_b( + flow_g_vol=input.flow_g_vol, + nozzle_diameter=input.nozzle_diameter, + nb_nozzle=input.nb_nozzle, + ), # mean bubble diameter, Kanai 2017 + "Eo": lambda input: (const_g * input.drho * input.d_b**2 / input.sigma_l).to( + "dimensionless" + ), # Eotvos number + "Mo": lambda input: ( + input.drho * const_g * input.mu_l**4 / (input.rho_l**2 * input.sigma_l**3) + ).to("dimensionless"), # Morton number + "Sc": lambda input: (input.nu_l / input.D_l).to("dimensionless"), # Schmidt number + "Re": lambda input: get_Re(input), # Reynolds number + "u_g0": lambda input: get_u_g0(input), # initial gas velocity + "eps_g": lambda input: get_eps_g(input), # gas void fraction + "h_l_malara": lambda input: get_h_malara( + input.D_l, input.d_b + ), # mass transfer coefficient with Malara correlation + "h_l_briggs": lambda input: get_h_briggs( + input.Re, input.Sc, input.D_l, input.d_b + ), # mass transfer coefficient with Briggs correlation + "h_l_higbie": lambda input: get_h_higbie( + input.D_l, input.u_g0, input.d_b + ), # mass transfer coefficient with Higbie correlation + "E_g": lambda input: get_E_g( + input.tank_diameter, input.u_g0 + ), # gas phase axial dispersion coefficient + "source_T": lambda input: ( + input.tbr * input.n_gen_rate / (input.tank_volume) + ), # tritium generation source term +} + + +class SimulationInput: + def _get(self, input_dict: dict, key: str, corr_name: str = None): + """get a parameter value from input_dict, or compute it from correlation if not specified in input_dict + - input_dict: dictionary of input values and/or correlation names + - key: name of the parameter to get + - corr_name: name of the correlation to use if not specified in input_dict, will be the key itself by default + """ + + if key in input_dict: + value = input_dict[key] + input_dict.pop(key) # to keep track of unused input parameters, if any + + if ( + isinstance(value, str) and value.__contains__(SEPARATOR_KEYWORD) + ): # if the value is a string that contains keyword "from", we assume it's a correlation name + corr_name = value.split(SEPARATOR_KEYWORD + " ")[1] + try: + func = correlations_dict[corr_name] + quantity = func(self) + self.quantities_dict["computed"][key] = { + "quantity": str(quantity), + "correlation": corr_name, + } + return quantity + except KeyError: + raise KeyError( + f"Correlation '{corr_name}' not found in correlations dictionary. Available correlations: {list(correlations_dict.keys())}" + ) + else: # we assume the quantity is directly provided + if VERBOSE: + print(f"{key} = {value} \t provided by input") + quantity = ureg.parse_expression(str(value)) + self.quantities_dict["inputed"][key] = str(quantity) + return quantity + else: # input doesn't specify a value or a correlation name + while True: + # compute quantity using correlation, and if needed retrieve quantities it depends on + try: + corr_name = key if corr_name is None else corr_name + quantity = correlations_dict[corr_name](self) + # compute the quantity using the default correlation function + self.quantities_dict["computed"][key] = { + "quantity": str(quantity), + "correlation": corr_name, + } + break + except KeyError: + raise KeyError( + f"Correlation for '{corr_name}' not found in correlations dictionary. Available correlations: {list(correlations_dict.keys())}" + ) + except AttributeError as e: + missing_attr = str(e).split("attribute '")[1].split("'")[0] + print(f"AttributeError: missing attribute '{missing_attr}'") + setattr( + self, missing_attr, self._get(input_dict, missing_attr) + ) # recursively get missing attributes if VERBOSE: - print( - f"{key} = {value:.2e} \t calculated using '{corr_name}' correlation as specified in input" - ) - return value - else: - if VERBOSE: - print(f"{key} = {value:.2e} \t provided by input") - return value - else: - value = func(**kwargs) + print(f"{key} = {quantity} \t calculated using default correlation") + + return quantity + + def __init__(self, input_dict: dict): + input_dict = input_dict.copy() + self.quantities_dict = { + "inputed": {}, + "computed": {}, + } # to keep track of inputed and calculated quantities and the correlation used, for output purposes + # TODO useless, can use self.__dict__ + + # -- System parameters -- + self.tank_height = self._get(input_dict, "tank_height") + self.tank_diameter = self._get(input_dict, "D") + self.tank_area = np.pi * (self.tank_diameter / 2) ** 2 + self.tank_volume = (self.tank_area * self.tank_height).to_base_units() + self.source_T = self._get(input_dict, "source_T").to( + "molT/s/m**3" + ) # tritium generation source term + self.nozzle_diameter = self._get(input_dict, "nozzle_diameter") + self.nb_nozzle = self._get(input_dict, "nb_nozzle") + self.P_top = self._get(input_dict, "P_top") + self.T = self._get(input_dict, "T") # temperature + self.flow_g = self._get(input_dict, "flow_g").to( + "mol/s" + ) # inlet gas flow rate [mol/s] + + # -- FLiBe and tritium physical properties -- + self.rho_l = self._get(input_dict, "rho_l") + self.mu_l = self._get(input_dict, "mu_l") + self.sigma_l = self._get(input_dict, "sigma_l") + self.nu_l = self.mu_l / self.rho_l + self.D_l = self._get(input_dict, "D_l") + self.K_s = self._get(input_dict, "K_s") + + self.P_0 = (self.P_top + self.rho_l * const_g * self.tank_height).to( + "Pa" + ) # gas inlet pressure [Pa] = hydrostatic pressure at the bottom of the tank (neglecting gas fraction) + self.flow_g_vol = (self.flow_g.to("mol/s") * const_R * self.T / self.P_0).to( + "m**3/s" + ) # inlet gas volumetric flow rate + + # -- bubbles properties -- + self.d_b = self._get(input_dict, "d_b").to("metre") # bubble diameter + he_molar_mass = ureg("4.003e-3 kg/mol") + self.rho_g = ( + self.P_0 * he_molar_mass / (const_R * self.T) + ).to_base_units() # bubbles density, using ideal gas law for He + self.drho = self.rho_l - self.rho_g # density difference between liquid and gas + + self.Eo = self._get(input_dict, "Eo") # Eotvos number + self.Mo = self._get(input_dict, "Mo") # Morton number + self.Sc = self._get(input_dict, "Sc") # Schmidt number + self.Re = self._get(input_dict, "Re") # Reynolds number + + self.u_g0 = self._get( + input_dict, "u_g0" + ).to_base_units() # mean bubble velocity + + self.Re = self._get( + input_dict, "Re" + ) # update Reynolds number with the calculated bubble velocity + + self.eps_g = self._get(input_dict, "eps_g").to( + "dimensionless" + ) # gas void fraction + self.eps_l = 1 - self.eps_g + self.a = (6 * self.eps_g / self.d_b).to("1/m") # specific interfacial area + + self.h_l = self._get(input_dict, "h_l", corr_name="h_l_briggs").to( + "m/s" + ) # mass transfer coefficient + + self.E_g = self._get(input_dict, "E_g").to( + "m**2/s" + ) # gas phase axial dispersion coefficient + + if input_dict: + warnings.warn(f"Unused input parameters:{input_dict}") + if VERBOSE: - print(f"{key} = {value:.2e} \t calculated using default correlation") - return value - - -def compute_properties(params): - tank_height = params["tank_height"] - D = params["D"] - nozzle_diameter = params["nozzle_diameter"] - nb_nozzle = params["nb_nozzle"] - P_top = params["P_top"] - T = params["T"] - - flow_g_mol = _get( - params, "flow_g_mol", get_flow_g_mol, input=params - ) # inlet gas flow rate [mol/s] - - # --- correlations for FLiBe properties --- - rho_l = _get(params, "rho_l", get_rho_l, T=T) # density [kg/m3] of Li2BeF4 - mu_l = _get(params, "mu_l", get_mu_l, T=T) # dynamic viscosity [Pa.s] of Li2BeF4 - nu_l = mu_l / rho_l # kinematic viscosity [m2/s] of Li2BeF4 - sigma_l = _get( - params, "sigma_l", get_sigma_l, T=T - ) # surface tension [N/m] of Li2BeF4 - - # --- correlations for tritium in FLiBe --- - D_l = _get(params, "D_l", get_D_l, T=T) # diffusivity of T in FLiBe [m2/s] - K_s = _get(params, "K_s", get_K_s, T=T) # solubility of T in FLiBe [mol/m3/Pa] - # - derived parameters - - P_0 = ( - P_top + rho_l * const.g * tank_height - ) # gas inlet pressure [Pa] = hydrostatic pressure at the bottom of the tank (neglecting gas fraction) - flow_g_vol = flow_g_mol * const.R * T / P_0 # inlet gas volumetric flow rate [m3/s] - - # --- correlations for bubble properties --- - d_b = _get( - params, - "d_b", - get_d_b, - flow_g_vol=flow_g_vol, - nozzle_diameter=nozzle_diameter, - nb_nozzle=nb_nozzle, - ) # bubble diameter [m] - - he_molar_mass = 4.003e-3 # kg/mol - rho_g = ( - P_0 * he_molar_mass / (const.R * T) - ) # bubbles density [kg/m3], using ideal gas law for He - drho = rho_l - rho_g # density difference between liquid and gas [kg/m3] - - # --- dimensionless numbers used in correlations --- - - Eo = (drho * const.g * d_b**2) / sigma_l # Eotvos (Bond) number - Re = _get( - params, "Re", get_Re, rho=rho_l, mu=mu_l, u=U_G0_DEFAULT, d=d_b - ) # initial Reynolds number calculation, assuming typical gas velocity (~0.25 m/s according to Chavez 2021) - Mo = (drho * const.g * mu_l**4) / (rho_l**2 * sigma_l**3) # Morton number - Sc = nu_l / D_l # Schmidt number - - # --- bubble velocity --- - u_g0 = _get( - params, "u_g0", get_u_g0, Eo=Eo, Mo=Mo, mu_l=mu_l, rho_l=rho_l, d_b=d_b, Re=Re - ) # bubble velocity [m/s], correlation from Clift 1978, reported by Chavez 2021 - Re = _get( - params, "Re", get_Re, rho=rho_l, mu=mu_l, u=u_g0, d=d_b, Re_old=Re - ) # update Reynolds number with the calculated bubble velocity - - # --- bubble volume fraction --- - eps_g = _get( - params, - "eps_g", - get_eps_g, - T=T, - P_0=P_0, - flow_g_mol=flow_g_mol, - D=D, - d_b=d_b, - u_g=u_g0, - sigma_l=sigma_l, - ) # gas fraction [-] - eps_l = 1 - eps_g # liquid fraction [-] - a = 6 * eps_g / d_b # specific interfacial area [m-1] - - # --- mass transfer coefficient --- - h_l = _get( - params, - "h_l", - get_h_l, - Re=Re, - Sc=Sc, - D_l=D_l, - d_b=d_b, - u_g=u_g0, - ) # T mass transfer coefficient [m/s], using Briggs 1970 correlation as default - - E_g = _get( - params, "E_g", get_E_g, diameter=D, u_g=u_g0 - ) # gas phase axial dispersion coefficient [m2/s] - - source_T = _get( - params, - "source_T", - get_source_T, - input=params, - ) # tritium generation source term [mol/m3/s] - - return { - "rho_l": rho_l, - "sigma_l": sigma_l, - "mu_l": mu_l, - "nu_l": nu_l, - "K_s": K_s, - "u_g0": u_g0, - "d_b": d_b, - "rho_g": rho_g, - "P_0": P_0, - "flow_g_vol": flow_g_vol, - "flow_g_mol": flow_g_mol, - "eps_g": eps_g, - "eps_l": eps_l, - "D_l": D_l, - "E_g": E_g, - "a": a, - "h_l": h_l, - "Re": Re, - "Eo": Eo, - "Mo": Mo, - "Sc": Sc, - "nozzle_flow": flow_g_vol / nb_nozzle, - "source_T": source_T, - } - - -def solve(params: dict, t_final: float, t_irr: float | list, t_sparging: list = None): - dt = 0.2 * hours_to_seconds # s + print(self) + + def __str__(self): + members = inspect.getmembers(self) + return "\n".join( + [ + f"{name}: {value}" + for name, value in members + if not name.startswith("_") and not inspect.isfunction(value) + ] + ) + + +# def solve(params: dict, t_final: float, t_irr: float | list, t_sparging: list = None): +def solve( + input: SimulationInput, t_final: float, t_irr: float | list, t_sparging: list = None +): + dt = 0.2 * ureg("hours").to("seconds").magnitude # unpack parameters - tank_height, u_g0, a, h_l, K_s, P_0, T, eps_g, eps_l, E_g, D_l, source_T = ( - params["tank_height"], - params["u_g0"], - params["a"], - params["h_l"], - params["K_s"], - params["P_0"], - params["T"], - params["eps_g"], - params["eps_l"], - params["E_g"], - params["D_l"], - params["source_T"], + tank_height, a, h_l, K_s, P_0, T, eps_g, eps_l, E_g, D_l = ( + input.tank_height.magnitude, + input.a.magnitude, + input.h_l.magnitude, + input.K_s.magnitude, + input.P_0.magnitude, + input.T.magnitude, + input.eps_g.magnitude, + input.eps_l.magnitude, + input.E_g.magnitude, + input.D_l.magnitude, ) - tank_area = np.pi * (params["D"] / 2) ** 2 - tank_volume = tank_area * tank_height + # tank_area = np.pi * (params["D"] / 2) ** 2 + # tank_volume = tank_area * tank_height # MESH AND FUNCTION SPACES - mesh = dolfinx.mesh.create_interval(MPI.COMM_WORLD, 1000, points=[0, tank_height]) + mesh = dolfinx.mesh.create_interval( + MPI.COMM_WORLD, 1000, points=[0, input.tank_height.magnitude] + ) fdim = mesh.topology.dim - 1 cg_el = basix.ufl.element("Lagrange", mesh.basix_cell(), degree=1, shape=(2,)) @@ -502,19 +490,19 @@ def solve(params: dict, t_final: float, t_irr: float | list, t_sparging: list = c_T2, y_T2 = ufl.split(u) c_T2_n, y_T2_n = ufl.split(u_n) - vel_x = u_g0 # TODO velocity should vary with hydrostatic pressure + vel_x = input.u_g0.magnitude # TODO velocity should vary with hydrostatic pressure vel = dolfinx.fem.Constant(mesh, PETSc.ScalarType([vel_x])) """ vel = fem_func(U) v,interpolate(lambda x: v0 + 2*x[0])""" - h_l_const = dolfinx.fem.Constant(mesh, PETSc.ScalarType(h_l)) + h_l_const = dolfinx.fem.Constant(mesh, PETSc.ScalarType(input.h_l.magnitude)) - source_T2 = ( - source_T * T_to_T2 + source_T2 = input.source_T.to( + "molT2/s/m**3" ) # convert T generation rate to T2 generation rate for the gas phase [mol T2 /m3/s], assuming bred T immediately combines to T2 gen_T2 = dolfinx.fem.Constant( - mesh, PETSc.ScalarType(source_T2) + mesh, PETSc.ScalarType(source_T2.magnitude) ) # generation term [mol T2 /m3/s] # VARIATIONAL FORMULATION @@ -628,16 +616,22 @@ def solve(params: dict, t_final: float, t_irr: float | list, t_sparging: list = y_T2_vals = u.x.array[y_dofs][y_sort_coords] # store time and solution + # TODO give units to the results times.append(t) c_T2_solutions.append(c_T2_vals.copy()) y_T2_solutions.append(y_T2_vals.copy()) sources_T2.append( - gen_T2.value.copy() * tank_volume + gen_T2.value.copy() * input.tank_volume.magnitude ) # total T generation rate in the tank [mol/s] flux_T2 = dolfinx.fem.assemble_scalar( dolfinx.fem.form( - tank_area * vel_x * P_0 / (const.R * T) * y_T2_post * ds(2) + input.tank_area.magnitude + * vel_x + * P_0 + / (const.R * T) + * y_T2_post + * ds(2) ) ) # total T flux at the outlet [mol/s] @@ -658,7 +652,7 @@ def solve(params: dict, t_final: float, t_irr: float | list, t_sparging: list = dolfinx.fem.form(-E_g * ufl.inner(ufl.grad(P_0 * y_T2_post), n) * ds(1)) ) # total T dispersive flux at the inlet [Pa T2 /s/m2] flux_T2_inlet *= 1 / (const.R * T) * T2_to_T # convert to mol T/s/m2 - flux_T2_inlet *= tank_area # convert to mol T/s + flux_T2_inlet *= input.tank_area.magnitude # convert to mol T/s # fluxes_T2.append(flux_T2 + flux_T2_inlet) fluxes_T2.append(flux_T2) @@ -666,7 +660,9 @@ def solve(params: dict, t_final: float, t_irr: float | list, t_sparging: list = inventory_T2_salt = dolfinx.fem.assemble_scalar( dolfinx.fem.form(c_T2_post * ufl.dx) ) - inventory_T2_salt *= tank_area # get total amount of T2 in [mol] + inventory_T2_salt *= ( + input.tank_area.magnitude + ) # get total amount of T2 in [mol] inventories_T2_salt.append(inventory_T2_salt) # advance time From 4f221f53c40b404aac7013266898fc9baf25ee9a Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Wed, 1 Apr 2026 22:19:51 -0400 Subject: [PATCH 006/121] some cleaning --- main.py | 14 ++------------ model.py | 3 +-- 2 files changed, 3 insertions(+), 14 deletions(-) diff --git a/main.py b/main.py index 3106586..d0119fe 100644 --- a/main.py +++ b/main.py @@ -20,21 +20,11 @@ params = get_input(YAML_INPUT_PATH) sim_input = model.SimulationInput(params) - # merged_dict = {} - # merged_dict.update(params) - # merged_dict.update(properties) - + # TODO integrate to input file t_sparging_hr = [24, 1e20] # time interval when sparger is ON t_irr_hr = [0, 96] # time interval when irradiation is ON t_final = 6 * model.days_to_seconds - # results = model.solve( - # merged_dict, - # t_final=t_final, - # t_irr=[t * model.hours_to_seconds for t in t_irr_hr], - # t_sparging=[t * model.hours_to_seconds for t in t_sparging_hr], - # ) - results = model.solve( sim_input, t_final=t_final, @@ -42,7 +32,7 @@ t_sparging=[t * model.hours_to_seconds for t in t_sparging_hr], ) - results.to_yaml(OUTPUT_PATH + ".yaml", sim_input.quantities_dict) + # results.to_yaml(OUTPUT_PATH + ".yaml", sim_input.quantities_dict) results.to_json(OUTPUT_PATH + ".json", sim_input.quantities_dict) # results.profiles_to_csv(OUTPUT_PATH + "_profiles") diff --git a/model.py b/model.py index dcdb920..1e8b770 100644 --- a/model.py +++ b/model.py @@ -22,7 +22,7 @@ import inspect ureg = UnitRegistry() -ureg.formatter.default_format = "3e~P" +ureg.formatter.default_format = "3e~D" ureg.define("triton = 1 * particle = T") ureg.define(f"molT = {const.N_A} * triton") ureg.define(f"molT2 = 2 * {const.N_A} * triton") @@ -453,7 +453,6 @@ def __str__(self): ) -# def solve(params: dict, t_final: float, t_irr: float | list, t_sparging: list = None): def solve( input: SimulationInput, t_final: float, t_irr: float | list, t_sparging: list = None ): From 935342256206c5ab1980e717bf0729574d364860 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Thu, 2 Apr 2026 10:00:36 -0400 Subject: [PATCH 007/121] output files in dedicated folder --- main.py | 19 ++++++++++--------- model.py | 2 +- 2 files changed, 11 insertions(+), 10 deletions(-) diff --git a/main.py b/main.py index d0119fe..088843b 100644 --- a/main.py +++ b/main.py @@ -8,14 +8,10 @@ ANIMATE = True SHOW_ACTIVITY = True YAML_INPUT_PATH = os.path.join(os.getcwd(), sys.argv[1]) -OUTPUT_PATH = os.path.join( - os.getcwd(), - sys.argv[1].split(".")[0].replace("input", "output") - if len(sys.argv) < 3 - else sys.argv[2], +OUTPUT_FOLDER = os.path.join( + os.getcwd(), sys.argv[1].split(".")[0].replace("_input", "") ) - if __name__ == "__main__": params = get_input(YAML_INPUT_PATH) sim_input = model.SimulationInput(params) @@ -32,9 +28,14 @@ t_sparging=[t * model.hours_to_seconds for t in t_sparging_hr], ) - # results.to_yaml(OUTPUT_PATH + ".yaml", sim_input.quantities_dict) - results.to_json(OUTPUT_PATH + ".json", sim_input.quantities_dict) - # results.profiles_to_csv(OUTPUT_PATH + "_profiles") + os.makedirs(OUTPUT_FOLDER, exist_ok=True) + results.to_yaml( + os.path.join(OUTPUT_FOLDER, "restart.yaml"), sim_input.quantities_dict + ) + results.to_json( + os.path.join(OUTPUT_FOLDER, "output.json"), sim_input.quantities_dict + ) + # results.profiles_to_csv(os.path.join(OUTPUT_FOLDER, "profiles")) if ANIMATE is True: # Create interactive animation diff --git a/model.py b/model.py index 1e8b770..cb999c8 100644 --- a/model.py +++ b/model.py @@ -305,7 +305,7 @@ class SimulationInput: def _get(self, input_dict: dict, key: str, corr_name: str = None): """get a parameter value from input_dict, or compute it from correlation if not specified in input_dict - input_dict: dictionary of input values and/or correlation names - - key: name of the parameter to get + - key: name of the parameter to get in the input_dict - corr_name: name of the correlation to use if not specified in input_dict, will be the key itself by default """ From c889c4b1b7d63a6a32d20f6a84f0e3869684274e Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Thu, 2 Apr 2026 10:32:23 -0400 Subject: [PATCH 008/121] separate output and restart files --- helpers.py | 2 +- main.py | 2 +- model.py | 16 ++++++++++------ 3 files changed, 12 insertions(+), 8 deletions(-) diff --git a/helpers.py b/helpers.py index 7472add..daf97d6 100644 --- a/helpers.py +++ b/helpers.py @@ -10,7 +10,7 @@ def get_input(yaml_input_path): return params -def setup_yaml_numpy(): +def setup_yaml(): """Tells PyYAML to represent numpy types in human readable way""" def numpy_representer(dumper, data): diff --git a/main.py b/main.py index 088843b..1dfabed 100644 --- a/main.py +++ b/main.py @@ -30,7 +30,7 @@ os.makedirs(OUTPUT_FOLDER, exist_ok=True) results.to_yaml( - os.path.join(OUTPUT_FOLDER, "restart.yaml"), sim_input.quantities_dict + os.path.join(OUTPUT_FOLDER, "restart.yaml"), sim_input.__dict__.copy() ) results.to_json( os.path.join(OUTPUT_FOLDER, "output.json"), sim_input.quantities_dict diff --git a/model.py b/model.py index cb999c8..ae1583c 100644 --- a/model.py +++ b/model.py @@ -56,8 +56,8 @@ class SimulationResults: ] def to_yaml(self, output_path: str, sim_dict: dict): - - helpers.setup_yaml_numpy() + sim_dict = sim_dict.copy() + helpers.setup_yaml() # structure the output output = { @@ -66,10 +66,14 @@ def to_yaml(self, output_path: str, sim_dict: dict): "date": datetime.now().isoformat(), }, } - if sim_dict.get("inputed"): - output["input parameters"] = sim_dict["inputed"] - if sim_dict.get("computed"): - output["calculated properties"] = sim_dict["computed"] + sim_dict.pop( + "quantities_dict" + ) # remove quantities_dict from input for cleaner output + + output["input"] = {} + for key, value in sim_dict.items(): + output["input"][key] = str(value) + output["results"] = self.__dict__.copy() # remove c_T2_solutions and y_T2_solutions from results to avoid dumping large arrays in yaml, they can be saved separately if needed for key in self.keys_to_ignore_output: From 6d3e5ddbbfe5bf2a83c659b489b362a52b70e506 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Thu, 2 Apr 2026 10:43:28 -0400 Subject: [PATCH 009/121] SimulationResults dataclass has attribute SimulationInput --- main.py | 8 ++------ model.py | 17 +++++++++++------ 2 files changed, 13 insertions(+), 12 deletions(-) diff --git a/main.py b/main.py index 1dfabed..4b09850 100644 --- a/main.py +++ b/main.py @@ -29,12 +29,8 @@ ) os.makedirs(OUTPUT_FOLDER, exist_ok=True) - results.to_yaml( - os.path.join(OUTPUT_FOLDER, "restart.yaml"), sim_input.__dict__.copy() - ) - results.to_json( - os.path.join(OUTPUT_FOLDER, "output.json"), sim_input.quantities_dict - ) + results.to_yaml(os.path.join(OUTPUT_FOLDER, "restart.yaml")) + results.to_json(os.path.join(OUTPUT_FOLDER, "output.json")) # results.profiles_to_csv(os.path.join(OUTPUT_FOLDER, "profiles")) if ANIMATE is True: diff --git a/model.py b/model.py index ae1583c..e8ca812 100644 --- a/model.py +++ b/model.py @@ -43,8 +43,9 @@ class SimulationResults: inventories_T2_salt: np.ndarray source_T2: list fluxes_T2: list + sim_input: SimulationInput - keys_to_ignore_output = [ + keys_to_ignore_results = [ "c_T2_solutions", "y_T2_solutions", "x_ct", @@ -53,10 +54,11 @@ class SimulationResults: "times", "source_T2", "fluxes_T2", + "sim_input", ] - def to_yaml(self, output_path: str, sim_dict: dict): - sim_dict = sim_dict.copy() + def to_yaml(self, output_path: str): + sim_dict = self.sim_input.__dict__.copy() helpers.setup_yaml() # structure the output @@ -76,13 +78,15 @@ def to_yaml(self, output_path: str, sim_dict: dict): output["results"] = self.__dict__.copy() # remove c_T2_solutions and y_T2_solutions from results to avoid dumping large arrays in yaml, they can be saved separately if needed - for key in self.keys_to_ignore_output: + for key in self.keys_to_ignore_results: output["results"].pop(key, None) with open(output_path, "w") as f: yaml.dump(output, f, sort_keys=False) - def to_json(self, output_path: str, sim_dict: dict): + def to_json(self, output_path: str): + sim_dict = self.sim_input.quantities_dict.copy() + # structure the output output = { "metadata": { @@ -97,7 +101,7 @@ def to_json(self, output_path: str, sim_dict: dict): output["results"] = self.__dict__.copy() # remove c_T2_solutions and y_T2_solutions from results to avoid dumping large arrays in yaml, they can be saved separately if needed - for key in self.keys_to_ignore_output: + for key in self.keys_to_ignore_results: output["results"].pop(key, None) for key, value in output.items(): @@ -682,5 +686,6 @@ def solve( inventories_T2_salt=inventories_T2_salt, source_T2=sources_T2, fluxes_T2=fluxes_T2, + sim_input=input, ) return results From 0bad06081758e30977a8d86988f560a60d1e368b Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Thu, 2 Apr 2026 11:15:26 -0400 Subject: [PATCH 010/121] can initialize simulation from restart.yaml file, multiple key names accepted in input --- helpers.py | 2 + model.py | 113 ++++++++++++++++++++++++++++------------------------- 2 files changed, 61 insertions(+), 54 deletions(-) diff --git a/helpers.py b/helpers.py index daf97d6..694666f 100644 --- a/helpers.py +++ b/helpers.py @@ -7,6 +7,8 @@ def get_input(yaml_input_path): with open(yaml_input_path, "r") as file: params = yaml.safe_load(file) + if "input" in params: + params = params["input"] return params diff --git a/model.py b/model.py index e8ca812..fc4e51d 100644 --- a/model.py +++ b/model.py @@ -310,65 +310,70 @@ def get_E_g(diameter: float, u_g: float) -> float: class SimulationInput: - def _get(self, input_dict: dict, key: str, corr_name: str = None): + def _get(self, input_dict: dict, keys: list[str], corr_name: str = None): """get a parameter value from input_dict, or compute it from correlation if not specified in input_dict - input_dict: dictionary of input values and/or correlation names - key: name of the parameter to get in the input_dict - corr_name: name of the correlation to use if not specified in input_dict, will be the key itself by default """ - - if key in input_dict: - value = input_dict[key] - input_dict.pop(key) # to keep track of unused input parameters, if any - - if ( - isinstance(value, str) and value.__contains__(SEPARATOR_KEYWORD) - ): # if the value is a string that contains keyword "from", we assume it's a correlation name - corr_name = value.split(SEPARATOR_KEYWORD + " ")[1] - try: - func = correlations_dict[corr_name] - quantity = func(self) - self.quantities_dict["computed"][key] = { - "quantity": str(quantity), - "correlation": corr_name, - } + # try keys (several names possible in input dictionary, for retrocompatibility) + for key in keys if isinstance(keys, list) else [keys]: + if key in input_dict: + value = input_dict[key] + input_dict.pop(key) # to keep track of unused input parameters, if any + + if ( + isinstance(value, str) and value.__contains__(SEPARATOR_KEYWORD) + ): # if the value is a string that contains keyword "from", we assume it's a correlation name + corr_name = value.split(SEPARATOR_KEYWORD + " ")[1] + try: + func = correlations_dict[corr_name] + quantity = func(self) + self.quantities_dict["computed"][key] = { + "quantity": str(quantity), + "correlation": corr_name, + } + return quantity + except KeyError: + raise KeyError( + f"Correlation '{corr_name}' not found in correlations dictionary. Available correlations: {list(correlations_dict.keys())}" + ) + else: # we assume the quantity is directly provided + if VERBOSE: + print(f"{key} = {value} \t provided by input") + quantity = ureg.parse_expression(str(value)) + self.quantities_dict["inputed"][key] = str(quantity) return quantity - except KeyError: - raise KeyError( - f"Correlation '{corr_name}' not found in correlations dictionary. Available correlations: {list(correlations_dict.keys())}" - ) - else: # we assume the quantity is directly provided - if VERBOSE: - print(f"{key} = {value} \t provided by input") - quantity = ureg.parse_expression(str(value)) - self.quantities_dict["inputed"][key] = str(quantity) - return quantity - else: # input doesn't specify a value or a correlation name - while True: - # compute quantity using correlation, and if needed retrieve quantities it depends on - try: - corr_name = key if corr_name is None else corr_name - quantity = correlations_dict[corr_name](self) - # compute the quantity using the default correlation function - self.quantities_dict["computed"][key] = { - "quantity": str(quantity), - "correlation": corr_name, - } - break - except KeyError: - raise KeyError( - f"Correlation for '{corr_name}' not found in correlations dictionary. Available correlations: {list(correlations_dict.keys())}" - ) - except AttributeError as e: - missing_attr = str(e).split("attribute '")[1].split("'")[0] - print(f"AttributeError: missing attribute '{missing_attr}'") - setattr( - self, missing_attr, self._get(input_dict, missing_attr) - ) # recursively get missing attributes - if VERBOSE: - print(f"{key} = {quantity} \t calculated using default correlation") - - return quantity + + # nothing found in input_dict -> use default correlation + key = keys[0] if isinstance(keys, list) else keys + while True: + # compute quantity using correlation, and if needed retrieve quantities it depends on + try: + corr_name = ( + key if corr_name is None else corr_name + ) # default corr_name is the name of the key itself + quantity = correlations_dict[corr_name](self) + # compute the quantity using the default correlation function + self.quantities_dict["computed"][key] = { + "quantity": str(quantity), + "correlation": corr_name, + } + break + except KeyError: + raise KeyError( + f"Correlation for '{corr_name}' not found in correlations dictionary. Missing a required input or wrong correlation name. Available correlations: {list(correlations_dict.keys())}" + ) + except AttributeError as e: + missing_attr = str(e).split("attribute '")[1].split("'")[0] + print(f"AttributeError: missing attribute '{missing_attr}'") + setattr( + self, missing_attr, self._get(input_dict, missing_attr) + ) # recursively get missing attributes + if VERBOSE: + print(f"{key} = {quantity} \t calculated using default correlation") + + return quantity def __init__(self, input_dict: dict): input_dict = input_dict.copy() @@ -380,7 +385,7 @@ def __init__(self, input_dict: dict): # -- System parameters -- self.tank_height = self._get(input_dict, "tank_height") - self.tank_diameter = self._get(input_dict, "D") + self.tank_diameter = self._get(input_dict, ["tank_diameter", "D"]) self.tank_area = np.pi * (self.tank_diameter / 2) ** 2 self.tank_volume = (self.tank_area * self.tank_height).to_base_units() self.source_T = self._get(input_dict, "source_T").to( From 7be9b79f67a83089b928e9991044ca7de0d60574 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Thu, 2 Apr 2026 12:20:36 -0400 Subject: [PATCH 011/121] tritium and neutron are separate dimensions + units consistency check --- model.py | 61 +++++++++++++++++++++++++++----------------------------- 1 file changed, 29 insertions(+), 32 deletions(-) diff --git a/model.py b/model.py index fc4e51d..782fc3c 100644 --- a/model.py +++ b/model.py @@ -22,11 +22,11 @@ import inspect ureg = UnitRegistry() -ureg.formatter.default_format = "3e~D" -ureg.define("triton = 1 * particle = T") +ureg.formatter.default_format = ".3e~D" +ureg.define("triton = [tritium] = T") ureg.define(f"molT = {const.N_A} * triton") ureg.define(f"molT2 = 2 * {const.N_A} * triton") -ureg.define("neutron = 1 * particle = n") +ureg.define("neutron = [neutron] = n") ureg.define("sccm = 7.44e-7 mol/s") const_R = const.R * ureg("J/K/mol") # ideal gas constant @@ -384,38 +384,37 @@ def __init__(self, input_dict: dict): # TODO useless, can use self.__dict__ # -- System parameters -- - self.tank_height = self._get(input_dict, "tank_height") - self.tank_diameter = self._get(input_dict, ["tank_diameter", "D"]) + self.tank_height = self._get(input_dict, "tank_height").to("metre") + self.tank_diameter = self._get(input_dict, ["tank_diameter", "D"]).to("metre") self.tank_area = np.pi * (self.tank_diameter / 2) ** 2 - self.tank_volume = (self.tank_area * self.tank_height).to_base_units() + self.tank_volume = self.tank_area * self.tank_height self.source_T = self._get(input_dict, "source_T").to( "molT/s/m**3" ) # tritium generation source term - self.nozzle_diameter = self._get(input_dict, "nozzle_diameter") + self.nozzle_diameter = self._get(input_dict, "nozzle_diameter").to("millimetre") self.nb_nozzle = self._get(input_dict, "nb_nozzle") - self.P_top = self._get(input_dict, "P_top") - self.T = self._get(input_dict, "T") # temperature + self.P_top = self._get(input_dict, "P_top").to("bar") + self.T = self._get(input_dict, "T").to("kelvin") # temperature self.flow_g = self._get(input_dict, "flow_g").to( "mol/s" ) # inlet gas flow rate [mol/s] # -- FLiBe and tritium physical properties -- - self.rho_l = self._get(input_dict, "rho_l") - self.mu_l = self._get(input_dict, "mu_l") - self.sigma_l = self._get(input_dict, "sigma_l") + self.rho_l = self._get(input_dict, "rho_l").to("kg/m**3") + self.mu_l = self._get(input_dict, "mu_l").to("Pa*s") + self.sigma_l = self._get(input_dict, "sigma_l").to("N/m") self.nu_l = self.mu_l / self.rho_l - self.D_l = self._get(input_dict, "D_l") - self.K_s = self._get(input_dict, "K_s") - + self.D_l = self._get(input_dict, "D_l").to("m**2/s") + self.K_s = self._get(input_dict, "K_s").to("mol/m**3/Pa") self.P_0 = (self.P_top + self.rho_l * const_g * self.tank_height).to( - "Pa" + "bar" ) # gas inlet pressure [Pa] = hydrostatic pressure at the bottom of the tank (neglecting gas fraction) self.flow_g_vol = (self.flow_g.to("mol/s") * const_R * self.T / self.P_0).to( "m**3/s" ) # inlet gas volumetric flow rate # -- bubbles properties -- - self.d_b = self._get(input_dict, "d_b").to("metre") # bubble diameter + self.d_b = self._get(input_dict, "d_b").to("millimetre") # bubble diameter he_molar_mass = ureg("4.003e-3 kg/mol") self.rho_g = ( self.P_0 * he_molar_mass / (const_R * self.T) @@ -427,12 +426,10 @@ def __init__(self, input_dict: dict): self.Sc = self._get(input_dict, "Sc") # Schmidt number self.Re = self._get(input_dict, "Re") # Reynolds number - self.u_g0 = self._get( - input_dict, "u_g0" - ).to_base_units() # mean bubble velocity + self.u_g0 = self._get(input_dict, "u_g0").to("m/s") # mean bubble velocity - self.Re = self._get( - input_dict, "Re" + self.Re = self._get(input_dict, "Re").to( + "dimensionless" ) # update Reynolds number with the calculated bubble velocity self.eps_g = self._get(input_dict, "eps_g").to( @@ -472,16 +469,16 @@ def solve( dt = 0.2 * ureg("hours").to("seconds").magnitude # unpack parameters tank_height, a, h_l, K_s, P_0, T, eps_g, eps_l, E_g, D_l = ( - input.tank_height.magnitude, - input.a.magnitude, - input.h_l.magnitude, - input.K_s.magnitude, - input.P_0.magnitude, - input.T.magnitude, - input.eps_g.magnitude, - input.eps_l.magnitude, - input.E_g.magnitude, - input.D_l.magnitude, + input.tank_height.to("m").magnitude, + input.a.to("1/m").magnitude, + input.h_l.to("m/s").magnitude, + input.K_s.to("mol/m**3/Pa").magnitude, + input.P_0.to("Pa").magnitude, + input.T.to("K").magnitude, + input.eps_g.to("dimensionless").magnitude, + input.eps_l.to("dimensionless").magnitude, + input.E_g.to("m**2/s").magnitude, + input.D_l.to("m**2/s").magnitude, ) # tank_area = np.pi * (params["D"] / 2) ** 2 # tank_volume = tank_area * tank_height From 5585d9c29728e80bb99e308a43dd7958a4b9a43c Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Thu, 2 Apr 2026 12:42:54 -0400 Subject: [PATCH 012/121] moved correlations to dedicated .py file, added config.py for shared ressources --- config.py | 16 ++++ correlations.py | 170 +++++++++++++++++++++++++++++++++++++++++++ model.py | 189 ++---------------------------------------------- 3 files changed, 193 insertions(+), 182 deletions(-) create mode 100644 config.py create mode 100644 correlations.py diff --git a/config.py b/config.py new file mode 100644 index 0000000..ba8c6c9 --- /dev/null +++ b/config.py @@ -0,0 +1,16 @@ +from pint import UnitRegistry +import scipy.constants as const + +VERBOSE = False + +ureg = UnitRegistry() +ureg.formatter.default_format = ".3e~D" +ureg.define("triton = [tritium] = T") +ureg.define(f"molT = {const.N_A} * triton") +ureg.define(f"molT2 = 2 * {const.N_A} * triton") +ureg.define("neutron = [neutron] = n") +ureg.define("sccm = 7.44e-7 mol/s") + + +const_R = const.R * ureg("J/K/mol") # ideal gas constant +const_g = const.g * ureg("m/s**2") # gravitational acceleration diff --git a/correlations.py b/correlations.py new file mode 100644 index 0000000..cd6bacb --- /dev/null +++ b/correlations.py @@ -0,0 +1,170 @@ +from __future__ import annotations +from config import * +import numpy as np +import scipy.constants as const +import warnings + +U_G0_DEFAULT = 0.25 # m/s, typical bubble velocity according to Chavez 2021 + + +correlations_dict = { + "rho_l": lambda input: ureg.Quantity( + 2245 - 0.424 * input.T.to("celsius").magnitude, "kg/m**3" + ), # density of Li2BeF4, Vidrio 2022 + "mu_l": lambda input: ureg.Quantity( + 0.116e-3 * np.exp(3755 / input.T.to("kelvin").magnitude), "Pa*s" + ), # kinematic viscosity of Li2BeF4, Cantor 1968 + "sigma_l": lambda input: ureg.Quantity( + 260 - 0.12 * input.T.to("celsius").magnitude, "dyn/cm" + ).to("N/m"), # surface tension of Li2BeF4,Cantor 1968 + "D_l": lambda input: ureg.Quantity( + 9.3e-7 * np.exp(-42e3 / (const.R * input.T.to("kelvin").magnitude)), "m**2/s" + ), # diffusivity of T in FLiBe, Calderoni 2008 + "K_s": lambda input: ureg.Quantity( + 7.9e-2 * np.exp(-35e3 / (const.R * input.T.to("kelvin").magnitude)), + "mol/m**3/Pa", + ), # solubility of T in FLiBe, Calderoni 2008 + "d_b": lambda input: get_d_b( + flow_g_vol=input.flow_g_vol, + nozzle_diameter=input.nozzle_diameter, + nb_nozzle=input.nb_nozzle, + ), # mean bubble diameter, Kanai 2017 + "Eo": lambda input: (const_g * input.drho * input.d_b**2 / input.sigma_l).to( + "dimensionless" + ), # Eotvos number + "Mo": lambda input: ( + input.drho * const_g * input.mu_l**4 / (input.rho_l**2 * input.sigma_l**3) + ).to("dimensionless"), # Morton number + "Sc": lambda input: (input.nu_l / input.D_l).to("dimensionless"), # Schmidt number + "Re": lambda input: get_Re(input), # Reynolds number + "u_g0": lambda input: get_u_g0(input), # initial gas velocity + "eps_g": lambda input: get_eps_g(input), # gas void fraction + "h_l_malara": lambda input: get_h_malara( + input.D_l, input.d_b + ), # mass transfer coefficient with Malara correlation + "h_l_briggs": lambda input: get_h_briggs( + input.Re, input.Sc, input.D_l, input.d_b + ), # mass transfer coefficient with Briggs correlation + "h_l_higbie": lambda input: get_h_higbie( + input.D_l, input.u_g0, input.d_b + ), # mass transfer coefficient with Higbie correlation + "E_g": lambda input: get_E_g( + input.tank_diameter, input.u_g0 + ), # gas phase axial dispersion coefficient + "source_T": lambda input: ( + input.tbr * input.n_gen_rate / (input.tank_volume) + ), # tritium generation source term +} + + +def get_d_b(flow_g_vol: float, nozzle_diameter: float, nb_nozzle: int) -> float: + """ + mean bubble diameter [m], Kanai 2017 (reported by Evans 2026) + """ + nozzle_flow = flow_g_vol / nb_nozzle # volumetric flow per nozzle [m3/s] + if nozzle_flow < ureg("3 cm**3/s") or nozzle_flow > ureg("10 cm**3/s"): + warnings.warn( + f"nozzle flow {nozzle_flow.to('cm**3/s')} is out of the validated range for the Kanai 2017 correlation (3-10 cm3/s)" + ) + return ureg.Quantity( + 0.54 + * ( + nozzle_flow.to("cm**3/s").magnitude + * np.sqrt(nozzle_diameter.to("cm").magnitude / 2) + ) + ** 0.289, + "cm", + ) + + +def get_Re(input: SimulationInput) -> float: + try: + u = input.u_g0 + Re_old = input.Re + except AttributeError: + if VERBOSE: + print("in get_Re, use default bubble velocity") + u = U_G0_DEFAULT * ureg("m/s") + Re_old = 0 + + Re = input.rho_l * u * input.d_b / input.mu_l + if ( + Re_old != 0 and np.abs(np.log10(Re / Re_old)) > 1 + ): # check if Reynolds number changed by more than an order of magnitude + warnings.warn( + f"Re number changed significantly from {Re_old:.2e} to {Re:.2e}, bubble velocity u = {u} might be off. Check assumed bubble velocity in initial Reynolds number calculation" + ) + return Re.to("dimensionless") + + +def get_u_g0(input: SimulationInput) -> float: # TODO move inside class ? + """ + bubble initial velocity [m/s], correlation for terminal velocity from Clift 1978 + """ + H = (4 / 3 * input.Eo.magnitude * input.Mo.magnitude**-0.149) * ( + input.mu_l.magnitude / 0.0009 + ) ** -0.14 + if H > 59.3: + J = 3.42 * H**0.441 + elif H > 2: + J = 0.94 * H**0.757 + else: + J = input.Re * input.Mo**0.149 + 0.857 + warnings.warn( + f"Warning: low Reynolds number {input.Re:.2e}, bubble size d_b = {input.d_b} m might be too small." + f"Clift correlation will use default value for bubble velocity u_g0 = {U_G0_DEFAULT} m/s" + ) + u_g0 = input.mu_l / (input.rho_l * input.d_b) * input.Mo**-0.149 * (J - 0.857) + if u_g0 > ureg("1 m/s") or u_g0 < ureg("0.1 m/s"): + warnings.warn(f"Warning: bubble velocity {u_g0} is out of the typical range") + + return u_g0 + + +def get_eps_g(input: SimulationInput) -> float: + """computes gas void fraction from ideal gas law and Young-Laplace pressure in the bubbles (neglecting hydrostatic pressure variation)""" + eps_g = ( + const_R + * input.T + / (input.P_0 + 4 * input.sigma_l / input.d_b) + * input.flow_g + / (np.pi * (input.tank_diameter / 2) ** 2 * input.u_g0) + ) + if eps_g > 1 or eps_g < 0: + warnings.warn(f"Warning: unphysical gas fraction: {eps_g}") + elif eps_g > 0.1: + warnings.warn( + f"Warning: high gas fraction: {eps_g}, models assumptions may not hold" + ) + return eps_g + + +def get_h_higbie(D_l: float, u_g: float, d_b: float) -> float: + """mass transfer coefficient [m/s] for tritium in liquid FLiBe using Higbie penetration model""" + h_l = ( + (D_l * u_g) / (ufl.pi * d_b) + ) ** 0.5 # mass transport coefficient Higbie penetration model + return h_l + + +def get_h_malara(D_l: float, d_b: float) -> float: + """ + mass transfer coefficient [m/s] for tritium in liquid FLiBe using Malara 1995 correlation + (used for inert gas stripping from breeder droplets, may not be valid here) + """ + h_l = 2 * np.pi**2 * D_l / (3 * d_b) + return h_l + + +def get_h_briggs(Re: float, Sc: float, D_l: float, d_b: float) -> float: + """mass transfer coefficient [m/s] for tritium in liquid FLiBe using Briggs 1970 correlation""" + Sh = 0.089 * Re**0.69 * Sc**0.33 # Sherwood number + h_l = Sh * D_l / d_b + return h_l + + +def get_E_g(diameter: float, u_g: float) -> float: + """gas phase axial dispersion coefficient [m2/s], Malara 1995 correlation + models dispersion of the gas velocity distribution around the mean bubble velocity""" + E_g = 0.2 * ureg("1/m") * diameter**2 * u_g + return E_g diff --git a/model.py b/model.py index 782fc3c..fa64017 100644 --- a/model.py +++ b/model.py @@ -1,5 +1,3 @@ -from __future__ import annotations - from mpi4py import MPI import dolfinx import basix @@ -18,19 +16,10 @@ import helpers import json -from pint import UnitRegistry import inspect +import correlations as c -ureg = UnitRegistry() -ureg.formatter.default_format = ".3e~D" -ureg.define("triton = [tritium] = T") -ureg.define(f"molT = {const.N_A} * triton") -ureg.define(f"molT2 = 2 * {const.N_A} * triton") -ureg.define("neutron = [neutron] = n") -ureg.define("sccm = 7.44e-7 mol/s") - -const_R = const.R * ureg("J/K/mol") # ideal gas constant -const_g = const.g * ureg("m/s**2") # gravitational acceleration +from config import * @dataclass @@ -139,176 +128,12 @@ def profiles_to_csv(self, output_path: str): T_to_T2 = 1 / T2_to_T EPS = 1e-26 -U_G0_DEFAULT = 0.25 # m/s, typical bubble velocity according to Chavez 2021 -VERBOSE = False +# VERBOSE = False SEPARATOR_KEYWORD = "from" # log.set_log_level(log.LogLevel.INFO) -def get_d_b(flow_g_vol: float, nozzle_diameter: float, nb_nozzle: int) -> float: - """ - mean bubble diameter [m], Kanai 2017 (reported by Evans 2026) - """ - nozzle_flow = flow_g_vol / nb_nozzle # volumetric flow per nozzle [m3/s] - if nozzle_flow < ureg("3 cm**3/s") or nozzle_flow > ureg("10 cm**3/s"): - warnings.warn( - f"nozzle flow {nozzle_flow.to('cm**3/s')} is out of the validated range for the Kanai 2017 correlation (3-10 cm3/s)" - ) - return ureg.Quantity( - 0.54 - * ( - nozzle_flow.to("cm**3/s").magnitude - * np.sqrt(nozzle_diameter.to("cm").magnitude / 2) - ) - ** 0.289, - "cm", - ) - - -def get_Re(input: SimulationInput) -> float: - try: - u = input.u_g0 - Re_old = input.Re - except AttributeError: - if VERBOSE: - print("in get_Re, use default bubble velocity") - u = U_G0_DEFAULT * ureg("m/s") - Re_old = 0 - - Re = input.rho_l * u * input.d_b / input.mu_l - if ( - Re_old != 0 and np.abs(np.log10(Re / Re_old)) > 1 - ): # check if Reynolds number changed by more than an order of magnitude - warnings.warn( - f"Re number changed significantly from {Re_old:.2e} to {Re:.2e}, bubble velocity u = {u} might be off. Check assumed bubble velocity in initial Reynolds number calculation" - ) - return Re.to("dimensionless") - - -def get_u_g0(input: SimulationInput) -> float: # TODO move inside class ? - """ - bubble initial velocity [m/s], correlation for terminal velocity from Clift 1978 - """ - H = (4 / 3 * input.Eo.magnitude * input.Mo.magnitude**-0.149) * ( - input.mu_l.magnitude / 0.0009 - ) ** -0.14 - if H > 59.3: - J = 3.42 * H**0.441 - elif H > 2: - J = 0.94 * H**0.757 - else: - J = input.Re * input.Mo**0.149 + 0.857 - warnings.warn( - f"Warning: low Reynolds number {input.Re:.2e}, bubble size d_b = {input.d_b} m might be too small." - f"Clift correlation will use default value for bubble velocity u_g0 = {U_G0_DEFAULT} m/s" - ) - u_g0 = input.mu_l / (input.rho_l * input.d_b) * input.Mo**-0.149 * (J - 0.857) - if u_g0 > ureg("1 m/s") or u_g0 < ureg("0.1 m/s"): - warnings.warn(f"Warning: bubble velocity {u_g0} is out of the typical range") - - return u_g0 - - -def get_eps_g(input: SimulationInput) -> float: - """computes gas void fraction from ideal gas law and Young-Laplace pressure in the bubbles (neglecting hydrostatic pressure variation)""" - eps_g = ( - const_R - * input.T - / (input.P_0 + 4 * input.sigma_l / input.d_b) - * input.flow_g - / (np.pi * (input.tank_diameter / 2) ** 2 * input.u_g0) - ) - if eps_g > 1 or eps_g < 0: - warnings.warn(f"Warning: unphysical gas fraction: {eps_g}") - elif eps_g > 0.1: - warnings.warn( - f"Warning: high gas fraction: {eps_g}, models assumptions may not hold" - ) - return eps_g - - -def get_h_higbie(D_l: float, u_g: float, d_b: float) -> float: - """mass transfer coefficient [m/s] for tritium in liquid FLiBe using Higbie penetration model""" - h_l = ( - (D_l * u_g) / (ufl.pi * d_b) - ) ** 0.5 # mass transport coefficient Higbie penetration model - return h_l - - -def get_h_malara(D_l: float, d_b: float) -> float: - """ - mass transfer coefficient [m/s] for tritium in liquid FLiBe using Malara 1995 correlation - (used for inert gas stripping from breeder droplets, may not be valid here) - """ - h_l = 2 * np.pi**2 * D_l / (3 * d_b) - return h_l - - -def get_h_briggs(Re: float, Sc: float, D_l: float, d_b: float) -> float: - """mass transfer coefficient [m/s] for tritium in liquid FLiBe using Briggs 1970 correlation""" - Sh = 0.089 * Re**0.69 * Sc**0.33 # Sherwood number - h_l = Sh * D_l / d_b - return h_l - - -def get_E_g(diameter: float, u_g: float) -> float: - """gas phase axial dispersion coefficient [m2/s], Malara 1995 correlation - models dispersion of the gas velocity distribution around the mean bubble velocity""" - E_g = 0.2 * ureg("1/m") * diameter**2 * u_g - return E_g - - -correlations_dict = { - "rho_l": lambda input: ureg.Quantity( - 2245 - 0.424 * input.T.to("celsius").magnitude, "kg/m**3" - ), # density of Li2BeF4, Vidrio 2022 - "mu_l": lambda input: ureg.Quantity( - 0.116e-3 * np.exp(3755 / input.T.to("kelvin").magnitude), "Pa*s" - ), # kinematic viscosity of Li2BeF4, Cantor 1968 - "sigma_l": lambda input: ureg.Quantity( - 260 - 0.12 * input.T.to("celsius").magnitude, "dyn/cm" - ).to("N/m"), # surface tension of Li2BeF4,Cantor 1968 - "D_l": lambda input: ureg.Quantity( - 9.3e-7 * np.exp(-42e3 / (const.R * input.T.to("kelvin").magnitude)), "m**2/s" - ), # diffusivity of T in FLiBe, Calderoni 2008 - "K_s": lambda input: ureg.Quantity( - 7.9e-2 * np.exp(-35e3 / (const.R * input.T.to("kelvin").magnitude)), - "mol/m**3/Pa", - ), # solubility of T in FLiBe, Calderoni 2008 - "d_b": lambda input: get_d_b( - flow_g_vol=input.flow_g_vol, - nozzle_diameter=input.nozzle_diameter, - nb_nozzle=input.nb_nozzle, - ), # mean bubble diameter, Kanai 2017 - "Eo": lambda input: (const_g * input.drho * input.d_b**2 / input.sigma_l).to( - "dimensionless" - ), # Eotvos number - "Mo": lambda input: ( - input.drho * const_g * input.mu_l**4 / (input.rho_l**2 * input.sigma_l**3) - ).to("dimensionless"), # Morton number - "Sc": lambda input: (input.nu_l / input.D_l).to("dimensionless"), # Schmidt number - "Re": lambda input: get_Re(input), # Reynolds number - "u_g0": lambda input: get_u_g0(input), # initial gas velocity - "eps_g": lambda input: get_eps_g(input), # gas void fraction - "h_l_malara": lambda input: get_h_malara( - input.D_l, input.d_b - ), # mass transfer coefficient with Malara correlation - "h_l_briggs": lambda input: get_h_briggs( - input.Re, input.Sc, input.D_l, input.d_b - ), # mass transfer coefficient with Briggs correlation - "h_l_higbie": lambda input: get_h_higbie( - input.D_l, input.u_g0, input.d_b - ), # mass transfer coefficient with Higbie correlation - "E_g": lambda input: get_E_g( - input.tank_diameter, input.u_g0 - ), # gas phase axial dispersion coefficient - "source_T": lambda input: ( - input.tbr * input.n_gen_rate / (input.tank_volume) - ), # tritium generation source term -} - - class SimulationInput: def _get(self, input_dict: dict, keys: list[str], corr_name: str = None): """get a parameter value from input_dict, or compute it from correlation if not specified in input_dict @@ -327,7 +152,7 @@ def _get(self, input_dict: dict, keys: list[str], corr_name: str = None): ): # if the value is a string that contains keyword "from", we assume it's a correlation name corr_name = value.split(SEPARATOR_KEYWORD + " ")[1] try: - func = correlations_dict[corr_name] + func = c.correlations_dict[corr_name] quantity = func(self) self.quantities_dict["computed"][key] = { "quantity": str(quantity), @@ -336,7 +161,7 @@ def _get(self, input_dict: dict, keys: list[str], corr_name: str = None): return quantity except KeyError: raise KeyError( - f"Correlation '{corr_name}' not found in correlations dictionary. Available correlations: {list(correlations_dict.keys())}" + f"Correlation '{corr_name}' not found in correlations dictionary. Available correlations: {list(c.correlations_dict.keys())}" ) else: # we assume the quantity is directly provided if VERBOSE: @@ -353,7 +178,7 @@ def _get(self, input_dict: dict, keys: list[str], corr_name: str = None): corr_name = ( key if corr_name is None else corr_name ) # default corr_name is the name of the key itself - quantity = correlations_dict[corr_name](self) + quantity = c.correlations_dict[corr_name](self) # compute the quantity using the default correlation function self.quantities_dict["computed"][key] = { "quantity": str(quantity), @@ -362,7 +187,7 @@ def _get(self, input_dict: dict, keys: list[str], corr_name: str = None): break except KeyError: raise KeyError( - f"Correlation for '{corr_name}' not found in correlations dictionary. Missing a required input or wrong correlation name. Available correlations: {list(correlations_dict.keys())}" + f"Correlation for '{corr_name}' not found in correlations dictionary. Missing a required input or wrong correlation name. Available correlations: {list(c.correlations_dict.keys())}" ) except AttributeError as e: missing_attr = str(e).split("attribute '")[1].split("'")[0] From 0cb9ff4faadcd896e19cf0c64fc6135f7c29ecf1 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Thu, 2 Apr 2026 16:30:26 -0400 Subject: [PATCH 013/121] fixed problem with celsius --- config.py | 4 +++- model.py | 8 ++++---- 2 files changed, 7 insertions(+), 5 deletions(-) diff --git a/config.py b/config.py index ba8c6c9..c67e2a3 100644 --- a/config.py +++ b/config.py @@ -3,7 +3,9 @@ VERBOSE = False -ureg = UnitRegistry() +ureg = UnitRegistry( + autoconvert_offset_to_baseunit=True +) # to deal with offset units (eg: degree celsius) ureg.formatter.default_format = ".3e~D" ureg.define("triton = [tritium] = T") ureg.define(f"molT = {const.N_A} * triton") diff --git a/model.py b/model.py index fa64017..1af5f03 100644 --- a/model.py +++ b/model.py @@ -34,7 +34,7 @@ class SimulationResults: fluxes_T2: list sim_input: SimulationInput - keys_to_ignore_results = [ + keys_to_ignore_results = [ # TODO do it the other way: keys_to_include_results "c_T2_solutions", "y_T2_solutions", "x_ct", @@ -241,9 +241,9 @@ def __init__(self, input_dict: dict): # -- bubbles properties -- self.d_b = self._get(input_dict, "d_b").to("millimetre") # bubble diameter he_molar_mass = ureg("4.003e-3 kg/mol") - self.rho_g = ( - self.P_0 * he_molar_mass / (const_R * self.T) - ).to_base_units() # bubbles density, using ideal gas law for He + self.rho_g = (self.P_0 * he_molar_mass / (const_R * self.T)).to( + "kg/m**3" + ) # bubbles density, using ideal gas law for He self.drho = self.rho_l - self.rho_g # density difference between liquid and gas self.Eo = self._get(input_dict, "Eo") # Eotvos number From da9823461c4a947f1dc21d6e5ba2e2f376200b8b Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Fri, 3 Apr 2026 09:24:55 -0400 Subject: [PATCH 014/121] sparging and irradiation signals being put in input --- helpers.py | 19 +++++++++++++++++++ model.py | 32 ++++++++++++++++++++++++++++++-- 2 files changed, 49 insertions(+), 2 deletions(-) diff --git a/helpers.py b/helpers.py index 694666f..b9c8319 100644 --- a/helpers.py +++ b/helpers.py @@ -1,5 +1,6 @@ import yaml import numpy as np +from config import * # TODO this could be a dataclass? @@ -34,3 +35,21 @@ def get_git_hash(): ) except subprocess.CalledProcessError: return "no-git" + + +def string_to_ramp(t, start, end): + (t, start, end) = to_comparable_magnitude([t, start, end]) + return np.clip((t - start) / (end - start), 0, 1) + + +def string_to_step(t, start): + (t, start) = to_comparable_magnitude([t, start]) + return np.heaviside(t - start, 1) + + +def to_comparable_magnitude(quantities: list): + quantities = [ureg.Quantity(q) for q in quantities] + base_units = [q.to_base_units().units for q in quantities] + if len(set(base_units)) > 1: + raise ValueError(f"Quantities have different base units: {base_units}") + return tuple([q.to_base_units().magnitude for q in quantities]) diff --git a/model.py b/model.py index 1af5f03..0959b13 100644 --- a/model.py +++ b/model.py @@ -46,6 +46,11 @@ class SimulationResults: "sim_input", ] + namespace = { + "ramp": lambda s, e: helpers.string_to_ramp(times, s, e), + "step": lambda s: helpers.string_to_step(times, s), + } + def to_yaml(self, output_path: str): sim_dict = self.sim_input.__dict__.copy() helpers.setup_yaml() @@ -135,7 +140,13 @@ def profiles_to_csv(self, output_path: str): class SimulationInput: - def _get(self, input_dict: dict, keys: list[str], corr_name: str = None): + def _get( + self, + input_dict: dict, + keys: list[str], + corr_name: str = None, + no_parse: bool = False, + ): """get a parameter value from input_dict, or compute it from correlation if not specified in input_dict - input_dict: dictionary of input values and/or correlation names - key: name of the parameter to get in the input_dict @@ -166,7 +177,9 @@ def _get(self, input_dict: dict, keys: list[str], corr_name: str = None): else: # we assume the quantity is directly provided if VERBOSE: print(f"{key} = {value} \t provided by input") - quantity = ureg.parse_expression(str(value)) + quantity = ( + ureg.parse_expression(str(value)) if not no_parse else value + ) self.quantities_dict["inputed"][key] = str(quantity) return quantity @@ -271,11 +284,26 @@ def __init__(self, input_dict: dict): "m**2/s" ) # gas phase axial dispersion coefficient + # -- simulation parameters -- + self.dt = self._get(input_dict, "dt").to( + "s" + ) # time step for transient simulation + self.time_end = self._get(input_dict, "time_end").to( + "s" + ) # end time for transient simulation + self.signal_sparging = self._get( + input_dict, "signal_sparging", no_parse=True + ) # time signal for sparging (eg: to simulate intermittent sparging) + self.signal_irradiation = self._get( + input_dict, "signal_irradiation", no_parse=True + ) # time signal for irradiation (eg: to simulate intermittent irradiation) + if input_dict: warnings.warn(f"Unused input parameters:{input_dict}") if VERBOSE: print(self) + breakpoint() def __str__(self): members = inspect.getmembers(self) From ef5fc05fc64a7301b327381826142e6eed075a0e Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 09:37:43 -0400 Subject: [PATCH 015/121] add pint to environment --- environment.yml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/environment.yml b/environment.yml index 6ed3c54..530d91c 100644 --- a/environment.yml +++ b/environment.yml @@ -8,4 +8,5 @@ dependencies: - pyyaml - numpy - scipy - - pandas \ No newline at end of file + - pandas + - pint \ No newline at end of file From 24f86307f0655f0400686b8feb1ec92aece6358b Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 09:41:03 -0400 Subject: [PATCH 016/121] removed bp --- model.py | 1 - 1 file changed, 1 deletion(-) diff --git a/model.py b/model.py index 0959b13..2e3e498 100644 --- a/model.py +++ b/model.py @@ -303,7 +303,6 @@ def __init__(self, input_dict: dict): if VERBOSE: print(self) - breakpoint() def __str__(self): members = inspect.getmembers(self) From 78c06c55d97bd607c3096cf9d2abc02addaf5c34 Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 09:51:52 -0400 Subject: [PATCH 017/121] test instructions --- README.md | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/README.md b/README.md index b61bef5..871daa9 100644 --- a/README.md +++ b/README.md @@ -18,4 +18,16 @@ conda activate libra_sparging ``` python model.py +``` + +## How to run tests + +1. Install pytest + +``` +python -m pip install pytest +``` + +``` +python -m pytest test ``` \ No newline at end of file From 721cdaf23f6f215bb2953c71347187a172f5f6fa Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 09:52:08 -0400 Subject: [PATCH 018/121] added first test --- test/__init__.py | 0 test/test_input.yml | 17 +++++++++++++++++ test/test_solve.py | 22 ++++++++++++++++++++++ 3 files changed, 39 insertions(+) create mode 100644 test/__init__.py create mode 100644 test/test_input.yml create mode 100644 test/test_solve.py diff --git a/test/__init__.py b/test/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/test/test_input.yml b/test/test_input.yml new file mode 100644 index 0000000..8eedbe1 --- /dev/null +++ b/test/test_input.yml @@ -0,0 +1,17 @@ +# LIBRA Pi input +tank_height: 1 m +D: 0.5 m # m, tank diameter +nozzle_diameter: 0.001 m # m +nb_nozzle: 10 # number of nozzles at bottom of the tank +n_gen_rate: 1.0e+09 neutron/s # neutron generation rate +tbr: 0.1 triton / neutron # tritium breeding ratio +P_top: 1 bar # Pa, gas pressure at the top of the tank +T: 600 celsius # temperature [K] = 600°C temperature +flow_g: 400 sccm +sourrrce_T: 1e-15 molT/s +# h_l: from h_l_malara + +dt: 0.2 hours +time_end : 6 days +signal_sparging : step('24 hours') +signal_irradiation: step('0 hours') - step('96 hours') \ No newline at end of file diff --git a/test/test_solve.py b/test/test_solve.py new file mode 100644 index 0000000..a189c6a --- /dev/null +++ b/test/test_solve.py @@ -0,0 +1,22 @@ +import model +from helpers import get_input + + +def test_model_solve(): + """ + Tests that `model.solve` runs without errors for a simple test case. Does not check results. + """ + params = get_input("test/test_input.yml") + sim_input = model.SimulationInput(params) + + # TODO integrate to input file + t_sparging_hr = [24, 1e20] # time interval when sparger is ON + t_irr_hr = [0, 96] # time interval when irradiation is ON + t_final = 1 * model.days_to_seconds + + model.solve( + sim_input, + t_final=t_final, + t_irr=[t * model.hours_to_seconds for t in t_irr_hr], + t_sparging=[t * model.hours_to_seconds for t in t_sparging_hr], + ) From 56fad3a701274beb2262f6e34e231751e7114263 Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 09:58:29 -0400 Subject: [PATCH 019/121] added new test --- helpers.py | 2 +- test/test_solve.py | 12 ++++++++++++ 2 files changed, 13 insertions(+), 1 deletion(-) diff --git a/helpers.py b/helpers.py index b9c8319..348d966 100644 --- a/helpers.py +++ b/helpers.py @@ -5,7 +5,7 @@ # TODO this could be a dataclass? # see issue #3 -def get_input(yaml_input_path): +def get_input(yaml_input_path) -> dict: with open(yaml_input_path, "r") as file: params = yaml.safe_load(file) if "input" in params: diff --git a/test/test_solve.py b/test/test_solve.py index a189c6a..600e7e1 100644 --- a/test/test_solve.py +++ b/test/test_solve.py @@ -1,5 +1,6 @@ import model from helpers import get_input +import pytest def test_model_solve(): @@ -20,3 +21,14 @@ def test_model_solve(): t_irr=[t * model.hours_to_seconds for t in t_irr_hr], t_sparging=[t * model.hours_to_seconds for t in t_sparging_hr], ) + + +def test_model_solve_incomplete_input(): + """ + Tests SimulationInput raises error when required input is missing. + """ + params = get_input("test/test_input.yml") + params.pop("D") # remove bubble velocity to test default value + + with pytest.raises(KeyError, match="Missing a required input"): + model.SimulationInput(params) From cccdfcbe368414ba1b4a851e8c58e25bd37df24d Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 10:05:32 -0400 Subject: [PATCH 020/121] added workflow --- .github/workflows/ci.yml | 36 ++++++++++++++++++++++++++++++++++++ 1 file changed, 36 insertions(+) create mode 100644 .github/workflows/ci.yml diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 0000000..9cc1dd8 --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,36 @@ +name: CI +on: [pull_request, push] + +jobs: + run-tests: + name: run-tests + runs-on: ubuntu-latest + + steps: + - name: Checkout code + uses: actions/checkout@v2 + + - name: Set up Conda + uses: conda-incubator/setup-miniconda@v2 + with: + activate-environment: libra_sparging + environment-file: environment.yml + miniforge-version: latest + # use-mamba: true + channels: conda-forge + + - name: Install pytest + shell: bash -l {0} + run: | + conda install pytest pytest-cov codecov + + - name: Run tests + shell: bash -l {0} + run: | + python - m pytest test + + # - name: Upload to codecov + # uses: codecov/codecov-action@v4 + # with: + # token: ${{ secrets.CODECOV_TOKEN }} + # files: ./coverage.xml \ No newline at end of file From 4aa082620855c0559b29157ff5451991e9dc18d9 Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 10:07:46 -0400 Subject: [PATCH 021/121] modify conda --- .github/workflows/ci.yml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 9cc1dd8..0570eef 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -8,15 +8,15 @@ jobs: steps: - name: Checkout code - uses: actions/checkout@v2 + uses: actions/checkout@v5 - name: Set up Conda - uses: conda-incubator/setup-miniconda@v2 + uses: conda-incubator/setup-miniconda@v3 with: activate-environment: libra_sparging environment-file: environment.yml miniforge-version: latest - # use-mamba: true + use-mamba: false channels: conda-forge - name: Install pytest From 520cd053e5f09b2196d943d569e00bcef79ca3aa Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 10:10:19 -0400 Subject: [PATCH 022/121] test if fails --- test/test_solve.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/test/test_solve.py b/test/test_solve.py index 600e7e1..b6cc1be 100644 --- a/test/test_solve.py +++ b/test/test_solve.py @@ -22,6 +22,8 @@ def test_model_solve(): t_sparging=[t * model.hours_to_seconds for t in t_sparging_hr], ) + assert False + def test_model_solve_incomplete_input(): """ From 57c64a3878c6eefb81dee9a631c6a2dae345415f Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 10:12:37 -0400 Subject: [PATCH 023/121] remove whitespace --- .github/workflows/ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 0570eef..31e8cf8 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -27,7 +27,7 @@ jobs: - name: Run tests shell: bash -l {0} run: | - python - m pytest test + python -m pytest test # - name: Upload to codecov # uses: codecov/codecov-action@v4 From a56e6496fbbebb15f6260f0ffe53bbf9f24de2ab Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 10:13:12 -0400 Subject: [PATCH 024/121] removed assert False --- test/test_solve.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/test/test_solve.py b/test/test_solve.py index b6cc1be..600e7e1 100644 --- a/test/test_solve.py +++ b/test/test_solve.py @@ -22,8 +22,6 @@ def test_model_solve(): t_sparging=[t * model.hours_to_seconds for t in t_sparging_hr], ) - assert False - def test_model_solve_incomplete_input(): """ From 6ef09435526891ed5acc846c10da0d05f03c4624 Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 10:22:20 -0400 Subject: [PATCH 025/121] module structure --- main.py | 6 +- pyproject.toml | 55 +++++++++++++++++++ src/sparging/__init__.py | 19 +++++++ animation.py => src/sparging/animation.py | 2 +- config.py => src/sparging/config.py | 0 .../sparging/correlations.py | 2 +- helpers.py => src/sparging/helpers.py | 2 +- model.py => src/sparging/model.py | 6 +- test/test_solve.py | 4 +- 9 files changed, 85 insertions(+), 11 deletions(-) create mode 100644 pyproject.toml create mode 100644 src/sparging/__init__.py rename animation.py => src/sparging/animation.py (99%) rename config.py => src/sparging/config.py (100%) rename correlations.py => src/sparging/correlations.py (99%) rename helpers.py => src/sparging/helpers.py (98%) rename model.py => src/sparging/model.py (99%) diff --git a/main.py b/main.py index 4b09850..b6e62df 100644 --- a/main.py +++ b/main.py @@ -1,8 +1,8 @@ -import model +import src.sparging.model as model import sys import os -from animation import create_animation -from helpers import get_input +from sparging.animation import create_animation +from sparging.helpers import get_input ANIMATE = True diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..54cc9af --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,55 @@ +[build-system] +requires = ["setuptools>=61.0", "wheel"] +build-backend = "setuptools.build_meta" + +[project] +name = "libra_sparging" +version = "0.1.0" +description = "A finite element model for sparging processes" +readme = "README.md" +requires-python = ">=3.10" +license = {text = "LICENSE"} +authors = [ + {name = "Author Name", email = "author@example.com"}, +] +keywords = ["FEM", "sparging", "dolfinx"] +classifiers = [ + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "License :: OSI Approved :: MIT License", + "Development Status :: 3 - Alpha", +] + +dependencies = [ + "fenics-dolfinx", + "matplotlib", + "pyvista", + "pyyaml", + "numpy", + "scipy", + "pandas", + "pint", +] + +[project.optional-dependencies] +dev = [ + "pytest>=7.0", + "pytest-cov", +] + +[project.urls] +Repository = "https://github.com/libra_project/libra_sparging" + +[tool.setuptools] +packages = ["sparging"] +package-dir = {"" = "src"} + +[tool.pytest.ini_options] +testpaths = ["test"] +python_files = "test_*.py" +addopts = "-v" + +[tool.setuptools.package-data] +sparging = ["*.yaml", "*.yml"] diff --git a/src/sparging/__init__.py b/src/sparging/__init__.py new file mode 100644 index 0000000..fc633f4 --- /dev/null +++ b/src/sparging/__init__.py @@ -0,0 +1,19 @@ +""" +libra_sparging: A finite element model for sparging processes using FEniCSx/DOLFINX. +""" + +from .config import ureg, const_R, const_g, VERBOSE +from .model import SimulationResults +from .animation import ConcentrationAnimator +from .helpers import * +from .correlations import * + +__all__ = [ + "SimulationInput", + "SimulationResults", + "ConcentrationAnimator", + "ureg", + "const_R", + "const_g", + "VERBOSE", +] diff --git a/animation.py b/src/sparging/animation.py similarity index 99% rename from animation.py rename to src/sparging/animation.py index 893ae3f..c58ef5a 100644 --- a/animation.py +++ b/src/sparging/animation.py @@ -2,7 +2,7 @@ import matplotlib.pyplot as plt from matplotlib import gridspec from matplotlib.widgets import Slider, Button -from model import SimulationResults +from sparging.model import SimulationResults molar_mass_T2 = 3.016 * 2 # g/mol T2 specific_activity_tritium = 3.57e14 # Bq/g diff --git a/config.py b/src/sparging/config.py similarity index 100% rename from config.py rename to src/sparging/config.py diff --git a/correlations.py b/src/sparging/correlations.py similarity index 99% rename from correlations.py rename to src/sparging/correlations.py index cd6bacb..f25deb2 100644 --- a/correlations.py +++ b/src/sparging/correlations.py @@ -1,5 +1,5 @@ from __future__ import annotations -from config import * +from sparging.config import * import numpy as np import scipy.constants as const import warnings diff --git a/helpers.py b/src/sparging/helpers.py similarity index 98% rename from helpers.py rename to src/sparging/helpers.py index 348d966..66a0f0c 100644 --- a/helpers.py +++ b/src/sparging/helpers.py @@ -1,6 +1,6 @@ import yaml import numpy as np -from config import * +from sparging.config import * # TODO this could be a dataclass? diff --git a/model.py b/src/sparging/model.py similarity index 99% rename from model.py rename to src/sparging/model.py index 2e3e498..a8d26f1 100644 --- a/model.py +++ b/src/sparging/model.py @@ -13,13 +13,13 @@ # from dolfinx import log import yaml -import helpers +import sparging.helpers as helpers import json import inspect -import correlations as c +import sparging.correlations as c -from config import * +from sparging.config import * @dataclass diff --git a/test/test_solve.py b/test/test_solve.py index 600e7e1..253b837 100644 --- a/test/test_solve.py +++ b/test/test_solve.py @@ -1,5 +1,5 @@ -import model -from helpers import get_input +import sparging.model as model +from sparging.helpers import get_input import pytest From c1068496f0e7eb75a5231688f66370e2c90e27d1 Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 10:25:15 -0400 Subject: [PATCH 026/121] update instructions + CI --- .github/workflows/ci.yml | 4 ++-- README.md | 9 +-------- 2 files changed, 3 insertions(+), 10 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 31e8cf8..6fa2c9e 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -19,10 +19,10 @@ jobs: use-mamba: false channels: conda-forge - - name: Install pytest + - name: Install package shell: bash -l {0} run: | - conda install pytest pytest-cov codecov + pip install -e .[dev] - name: Run tests shell: bash -l {0} diff --git a/README.md b/README.md index 871daa9..062b0e3 100644 --- a/README.md +++ b/README.md @@ -15,19 +15,12 @@ conda env create -f environment.yml conda activate libra_sparging ``` - ``` -python model.py +python -m pip install -e .[dev] ``` ## How to run tests -1. Install pytest - -``` -python -m pip install pytest -``` - ``` python -m pytest test ``` \ No newline at end of file From 6728972c94c071a264c6b8fa5d11c6b4bbe3c98d Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 10:31:13 -0400 Subject: [PATCH 027/121] fixed import --- .github/workflows/ci.yml | 2 +- src/sparging/model.py | 214 +++++++++++++++++++-------------------- 2 files changed, 108 insertions(+), 108 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 6fa2c9e..f7ca711 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -22,7 +22,7 @@ jobs: - name: Install package shell: bash -l {0} run: | - pip install -e .[dev] + python -m pip install -e .[dev] - name: Run tests shell: bash -l {0} diff --git a/src/sparging/model.py b/src/sparging/model.py index a8d26f1..df1bfef 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -19,113 +19,7 @@ import inspect import sparging.correlations as c -from sparging.config import * - - -@dataclass -class SimulationResults: - times: list - c_T2_solutions: list - y_T2_solutions: list - x_ct: np.ndarray - x_y: np.ndarray - inventories_T2_salt: np.ndarray - source_T2: list - fluxes_T2: list - sim_input: SimulationInput - - keys_to_ignore_results = [ # TODO do it the other way: keys_to_include_results - "c_T2_solutions", - "y_T2_solutions", - "x_ct", - "x_y", - "inventories_T2_salt", - "times", - "source_T2", - "fluxes_T2", - "sim_input", - ] - - namespace = { - "ramp": lambda s, e: helpers.string_to_ramp(times, s, e), - "step": lambda s: helpers.string_to_step(times, s), - } - - def to_yaml(self, output_path: str): - sim_dict = self.sim_input.__dict__.copy() - helpers.setup_yaml() - - # structure the output - output = { - "metadata": { - "git_commit": helpers.get_git_hash(), - "date": datetime.now().isoformat(), - }, - } - sim_dict.pop( - "quantities_dict" - ) # remove quantities_dict from input for cleaner output - - output["input"] = {} - for key, value in sim_dict.items(): - output["input"][key] = str(value) - - output["results"] = self.__dict__.copy() - # remove c_T2_solutions and y_T2_solutions from results to avoid dumping large arrays in yaml, they can be saved separately if needed - for key in self.keys_to_ignore_results: - output["results"].pop(key, None) - - with open(output_path, "w") as f: - yaml.dump(output, f, sort_keys=False) - - def to_json(self, output_path: str): - sim_dict = self.sim_input.quantities_dict.copy() - - # structure the output - output = { - "metadata": { - "git_commit": helpers.get_git_hash(), - "date": datetime.now().isoformat(), - }, - } - if sim_dict.get("inputed"): - output["input parameters"] = sim_dict["inputed"] - if sim_dict.get("computed"): - output["calculated properties"] = sim_dict["computed"] - output["results"] = self.__dict__.copy() - - # remove c_T2_solutions and y_T2_solutions from results to avoid dumping large arrays in yaml, they can be saved separately if needed - for key in self.keys_to_ignore_results: - output["results"].pop(key, None) - - for key, value in output.items(): - if isinstance(value, np.ndarray): - # convert numpy arrays to lists for JSON serialization - output[key] = value.tolist() - print( - "found list in results, converting to list for JSON serialization" - ) - - with open(output_path, "w") as f: - json.dump(output, f, indent=3) - - def profiles_to_csv(self, output_path: str): - """save c_T2 and y_T2 profiles at all time steps to csv files, one for c_T2 and one for y_T2, with columns for each time step""" - import pandas as pd - - df_c_T2 = pd.DataFrame({"x": self.x_ct}) - df_y_T2 = pd.DataFrame({"x": self.x_y}) - - # add one column for each profile - for i, (c_T2_profile, y_T2_profile) in enumerate( - zip(self.c_T2_solutions, self.y_T2_solutions) - ): - df_c_T2[f"c_T2_t{i}"] = c_T2_profile - df_y_T2[f"y_T2_t{i}"] = y_T2_profile - - df_c_T2.to_csv(output_path + "_c_T2.csv", index=False) - df_y_T2.to_csv(output_path + "_y_T2.csv", index=False) - +from sparging.config import ureg, const_R, const_g, VERBOSE hours_to_seconds = 3600 days_to_seconds = 24 * hours_to_seconds @@ -315,6 +209,112 @@ def __str__(self): ) +@dataclass +class SimulationResults: + times: list + c_T2_solutions: list + y_T2_solutions: list + x_ct: np.ndarray + x_y: np.ndarray + inventories_T2_salt: np.ndarray + source_T2: list + fluxes_T2: list + sim_input: SimulationInput + + keys_to_ignore_results = [ # TODO do it the other way: keys_to_include_results + "c_T2_solutions", + "y_T2_solutions", + "x_ct", + "x_y", + "inventories_T2_salt", + "times", + "source_T2", + "fluxes_T2", + "sim_input", + ] + + # FIXME + namespace = { + "ramp": lambda s, e: helpers.string_to_ramp(times, s, e), + "step": lambda s: helpers.string_to_step(times, s), + } + + def to_yaml(self, output_path: str): + sim_dict = self.sim_input.__dict__.copy() + helpers.setup_yaml() + + # structure the output + output = { + "metadata": { + "git_commit": helpers.get_git_hash(), + "date": datetime.now().isoformat(), + }, + } + sim_dict.pop( + "quantities_dict" + ) # remove quantities_dict from input for cleaner output + + output["input"] = {} + for key, value in sim_dict.items(): + output["input"][key] = str(value) + + output["results"] = self.__dict__.copy() + # remove c_T2_solutions and y_T2_solutions from results to avoid dumping large arrays in yaml, they can be saved separately if needed + for key in self.keys_to_ignore_results: + output["results"].pop(key, None) + + with open(output_path, "w") as f: + yaml.dump(output, f, sort_keys=False) + + def to_json(self, output_path: str): + sim_dict = self.sim_input.quantities_dict.copy() + + # structure the output + output = { + "metadata": { + "git_commit": helpers.get_git_hash(), + "date": datetime.now().isoformat(), + }, + } + if sim_dict.get("inputed"): + output["input parameters"] = sim_dict["inputed"] + if sim_dict.get("computed"): + output["calculated properties"] = sim_dict["computed"] + output["results"] = self.__dict__.copy() + + # remove c_T2_solutions and y_T2_solutions from results to avoid dumping large arrays in yaml, they can be saved separately if needed + for key in self.keys_to_ignore_results: + output["results"].pop(key, None) + + for key, value in output.items(): + if isinstance(value, np.ndarray): + # convert numpy arrays to lists for JSON serialization + output[key] = value.tolist() + print( + "found list in results, converting to list for JSON serialization" + ) + + with open(output_path, "w") as f: + json.dump(output, f, indent=3) + + def profiles_to_csv(self, output_path: str): + """save c_T2 and y_T2 profiles at all time steps to csv files, one for c_T2 and one for y_T2, with columns for each time step""" + import pandas as pd + + df_c_T2 = pd.DataFrame({"x": self.x_ct}) + df_y_T2 = pd.DataFrame({"x": self.x_y}) + + # add one column for each profile + for i, (c_T2_profile, y_T2_profile) in enumerate( + zip(self.c_T2_solutions, self.y_T2_solutions) + ): + df_c_T2[f"c_T2_t{i}"] = c_T2_profile + df_y_T2[f"y_T2_t{i}"] = y_T2_profile + + df_c_T2.to_csv(output_path + "_c_T2.csv", index=False) + df_y_T2.to_csv(output_path + "_y_T2.csv", index=False) + + def solve( input: SimulationInput, t_final: float, t_irr: float | list, t_sparging: list = None ): From 64938ba8df84aa2839fdbf1822965eb25b8ea14b Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 10:34:26 -0400 Subject: [PATCH 028/121] fixed circular import --- src/sparging/correlations.py | 14 +++++++++----- 1 file changed, 9 insertions(+), 5 deletions(-) diff --git a/src/sparging/correlations.py b/src/sparging/correlations.py index f25deb2..394cb9d 100644 --- a/src/sparging/correlations.py +++ b/src/sparging/correlations.py @@ -1,5 +1,9 @@ from __future__ import annotations -from sparging.config import * +from sparging.config import ureg, const_R, const_g, VERBOSE +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from sparging.model import SimulationInput import numpy as np import scipy.constants as const import warnings @@ -77,7 +81,7 @@ def get_d_b(flow_g_vol: float, nozzle_diameter: float, nb_nozzle: int) -> float: ) -def get_Re(input: SimulationInput) -> float: +def get_Re(input: "SimulationInput") -> float: try: u = input.u_g0 Re_old = input.Re @@ -97,7 +101,7 @@ def get_Re(input: SimulationInput) -> float: return Re.to("dimensionless") -def get_u_g0(input: SimulationInput) -> float: # TODO move inside class ? +def get_u_g0(input: "SimulationInput") -> float: # TODO move inside class ? """ bubble initial velocity [m/s], correlation for terminal velocity from Clift 1978 """ @@ -121,7 +125,7 @@ def get_u_g0(input: SimulationInput) -> float: # TODO move inside class ? return u_g0 -def get_eps_g(input: SimulationInput) -> float: +def get_eps_g(input: "SimulationInput") -> float: """computes gas void fraction from ideal gas law and Young-Laplace pressure in the bubbles (neglecting hydrostatic pressure variation)""" eps_g = ( const_R @@ -142,7 +146,7 @@ def get_eps_g(input: SimulationInput) -> float: def get_h_higbie(D_l: float, u_g: float, d_b: float) -> float: """mass transfer coefficient [m/s] for tritium in liquid FLiBe using Higbie penetration model""" h_l = ( - (D_l * u_g) / (ufl.pi * d_b) + (D_l * u_g) / (const.pi * d_b) ) ** 0.5 # mass transport coefficient Higbie penetration model return h_l From c0c670b0606afe9f314829e5af965af72a613dcd Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 11:22:05 -0400 Subject: [PATCH 029/121] small refactoring + added tests --- src/sparging/model.py | 229 +++++++++++++++++----------------- test/test_input.yml | 3 +- test/test_simulation_input.py | 27 ++++ 3 files changed, 141 insertions(+), 118 deletions(-) create mode 100644 test/test_simulation_input.py diff --git a/src/sparging/model.py b/src/sparging/model.py index df1bfef..e20c9b4 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -15,7 +15,7 @@ import yaml import sparging.helpers as helpers import json - +import pint import inspect import sparging.correlations as c @@ -34,81 +34,8 @@ class SimulationInput: - def _get( - self, - input_dict: dict, - keys: list[str], - corr_name: str = None, - no_parse: bool = False, - ): - """get a parameter value from input_dict, or compute it from correlation if not specified in input_dict - - input_dict: dictionary of input values and/or correlation names - - key: name of the parameter to get in the input_dict - - corr_name: name of the correlation to use if not specified in input_dict, will be the key itself by default - """ - # try keys (several names possible in input dictionary, for retrocompatibility) - for key in keys if isinstance(keys, list) else [keys]: - if key in input_dict: - value = input_dict[key] - input_dict.pop(key) # to keep track of unused input parameters, if any - - if ( - isinstance(value, str) and value.__contains__(SEPARATOR_KEYWORD) - ): # if the value is a string that contains keyword "from", we assume it's a correlation name - corr_name = value.split(SEPARATOR_KEYWORD + " ")[1] - try: - func = c.correlations_dict[corr_name] - quantity = func(self) - self.quantities_dict["computed"][key] = { - "quantity": str(quantity), - "correlation": corr_name, - } - return quantity - except KeyError: - raise KeyError( - f"Correlation '{corr_name}' not found in correlations dictionary. Available correlations: {list(c.correlations_dict.keys())}" - ) - else: # we assume the quantity is directly provided - if VERBOSE: - print(f"{key} = {value} \t provided by input") - quantity = ( - ureg.parse_expression(str(value)) if not no_parse else value - ) - self.quantities_dict["inputed"][key] = str(quantity) - return quantity - - # nothing found in input_dict -> use default correlation - key = keys[0] if isinstance(keys, list) else keys - while True: - # compute quantity using correlation, and if needed retrieve quantities it depends on - try: - corr_name = ( - key if corr_name is None else corr_name - ) # default corr_name is the name of the key itself - quantity = c.correlations_dict[corr_name](self) - # compute the quantity using the default correlation function - self.quantities_dict["computed"][key] = { - "quantity": str(quantity), - "correlation": corr_name, - } - break - except KeyError: - raise KeyError( - f"Correlation for '{corr_name}' not found in correlations dictionary. Missing a required input or wrong correlation name. Available correlations: {list(c.correlations_dict.keys())}" - ) - except AttributeError as e: - missing_attr = str(e).split("attribute '")[1].split("'")[0] - print(f"AttributeError: missing attribute '{missing_attr}'") - setattr( - self, missing_attr, self._get(input_dict, missing_attr) - ) # recursively get missing attributes - if VERBOSE: - print(f"{key} = {quantity} \t calculated using default correlation") - - return quantity - def __init__(self, input_dict: dict): - input_dict = input_dict.copy() + self.input_dict = input_dict.copy() self.quantities_dict = { "inputed": {}, "computed": {}, @@ -116,28 +43,26 @@ def __init__(self, input_dict: dict): # TODO useless, can use self.__dict__ # -- System parameters -- - self.tank_height = self._get(input_dict, "tank_height").to("metre") - self.tank_diameter = self._get(input_dict, ["tank_diameter", "D"]).to("metre") + self.tank_height = self._get("tank_height").to("metre") + self.tank_diameter = self._get("tank_diameter").to("metre") self.tank_area = np.pi * (self.tank_diameter / 2) ** 2 self.tank_volume = self.tank_area * self.tank_height - self.source_T = self._get(input_dict, "source_T").to( + self.source_T = self._get("source_T").to( "molT/s/m**3" ) # tritium generation source term - self.nozzle_diameter = self._get(input_dict, "nozzle_diameter").to("millimetre") - self.nb_nozzle = self._get(input_dict, "nb_nozzle") - self.P_top = self._get(input_dict, "P_top").to("bar") - self.T = self._get(input_dict, "T").to("kelvin") # temperature - self.flow_g = self._get(input_dict, "flow_g").to( - "mol/s" - ) # inlet gas flow rate [mol/s] + self.nozzle_diameter = self._get("nozzle_diameter").to("millimetre") + self.nb_nozzle = self._get("nb_nozzle") + self.P_top = self._get("P_top").to("bar") + self.T = self._get("T").to("kelvin") # temperature + self.flow_g = self._get("flow_g").to("mol/s") # inlet gas flow rate [mol/s] # -- FLiBe and tritium physical properties -- - self.rho_l = self._get(input_dict, "rho_l").to("kg/m**3") - self.mu_l = self._get(input_dict, "mu_l").to("Pa*s") - self.sigma_l = self._get(input_dict, "sigma_l").to("N/m") + self.rho_l = self._get("rho_l").to("kg/m**3") + self.mu_l = self._get("mu_l").to("Pa*s") + self.sigma_l = self._get("sigma_l").to("N/m") self.nu_l = self.mu_l / self.rho_l - self.D_l = self._get(input_dict, "D_l").to("m**2/s") - self.K_s = self._get(input_dict, "K_s").to("mol/m**3/Pa") + self.D_l = self._get("D_l").to("m**2/s") + self.K_s = self._get("K_s").to("mol/m**3/Pa") self.P_0 = (self.P_top + self.rho_l * const_g * self.tank_height).to( "bar" ) # gas inlet pressure [Pa] = hydrostatic pressure at the bottom of the tank (neglecting gas fraction) @@ -146,58 +71,90 @@ def __init__(self, input_dict: dict): ) # inlet gas volumetric flow rate # -- bubbles properties -- - self.d_b = self._get(input_dict, "d_b").to("millimetre") # bubble diameter + self.d_b = self._get("d_b").to("millimetre") # bubble diameter he_molar_mass = ureg("4.003e-3 kg/mol") self.rho_g = (self.P_0 * he_molar_mass / (const_R * self.T)).to( "kg/m**3" ) # bubbles density, using ideal gas law for He self.drho = self.rho_l - self.rho_g # density difference between liquid and gas - self.Eo = self._get(input_dict, "Eo") # Eotvos number - self.Mo = self._get(input_dict, "Mo") # Morton number - self.Sc = self._get(input_dict, "Sc") # Schmidt number - self.Re = self._get(input_dict, "Re") # Reynolds number + self.Eo = self._get("Eo") # Eotvos number + self.Mo = self._get("Mo") # Morton number + self.Sc = self._get("Sc") # Schmidt number + self.Re = self._get("Re") # Reynolds number - self.u_g0 = self._get(input_dict, "u_g0").to("m/s") # mean bubble velocity + self.u_g0 = self._get("u_g0").to("m/s") # mean bubble velocity - self.Re = self._get(input_dict, "Re").to( + self.Re = self._get("Re").to( "dimensionless" ) # update Reynolds number with the calculated bubble velocity - self.eps_g = self._get(input_dict, "eps_g").to( - "dimensionless" - ) # gas void fraction + self.eps_g = self._get("eps_g").to("dimensionless") # gas void fraction self.eps_l = 1 - self.eps_g self.a = (6 * self.eps_g / self.d_b).to("1/m") # specific interfacial area - self.h_l = self._get(input_dict, "h_l", corr_name="h_l_briggs").to( + self.h_l = self._get("h_l", corr_name="h_l_briggs").to( "m/s" ) # mass transfer coefficient - self.E_g = self._get(input_dict, "E_g").to( + self.E_g = self._get("E_g").to( "m**2/s" ) # gas phase axial dispersion coefficient - # -- simulation parameters -- - self.dt = self._get(input_dict, "dt").to( - "s" - ) # time step for transient simulation - self.time_end = self._get(input_dict, "time_end").to( - "s" - ) # end time for transient simulation - self.signal_sparging = self._get( - input_dict, "signal_sparging", no_parse=True - ) # time signal for sparging (eg: to simulate intermittent sparging) - self.signal_irradiation = self._get( - input_dict, "signal_irradiation", no_parse=True - ) # time signal for irradiation (eg: to simulate intermittent irradiation) - if input_dict: warnings.warn(f"Unused input parameters:{input_dict}") if VERBOSE: print(self) + def _get( + self, + key: str, + corr_name: str = None, + ): + """get a parameter value from input_dict, or compute it from correlation if not specified in input_dict + - input_dict: dictionary of input values and/or correlation names + - key: name of the parameter to get in the input_dict + - corr_name: name of the correlation to use if not specified in input_dict, will be the key itself by default + """ + # try keys (several names possible in input dictionary, for retrocompatibility) + if key in self.input_dict.keys(): + print(key, f"found {key} in input_dict") + quantity = get_quantity_or_correlation(self.input_dict, key) + if callable(quantity): + # if it's a correlation function, compute the quantity using the correlation + return quantity(self) + return quantity + + # nothing found in input_dict -> use default correlation + while True: + # compute quantity using correlation, and if needed retrieve quantities it depends on + try: + corr_name = ( + key if corr_name is None else corr_name + ) # default corr_name is the name of the key itself + quantity = c.correlations_dict[corr_name](self) + # compute the quantity using the default correlation function + self.quantities_dict["computed"][key] = { + "quantity": str(quantity), + "correlation": corr_name, + } + break + except KeyError: + raise KeyError( + f"Correlation for '{corr_name}' not found in correlations dictionary. Missing a required input or wrong correlation name. Available correlations: {list(c.correlations_dict.keys())}" + ) + except AttributeError as e: + missing_attr = str(e).split("attribute '")[1].split("'")[0] + print(f"AttributeError: missing attribute '{missing_attr}'") + setattr( + self, missing_attr, self._get(missing_attr) + ) # recursively get missing attributes + if VERBOSE: + print(f"{key} = {quantity} \t calculated using default correlation") + + return quantity + def __str__(self): members = inspect.getmembers(self) return "\n".join( @@ -209,6 +166,46 @@ def __str__(self): ) +def find_correlation_from_library(corr_name) -> callable: + if corr_name not in c.correlations_dict: + raise KeyError( + f"Correlation '{corr_name}' not found in correlations dictionary. Available correlations: {list(c.correlations_dict.keys())}" + ) + + func = c.correlations_dict[corr_name] + assert callable(func), f"Correlation '{corr_name}' is not a function" + return func + + +def get_correlation_from_string(s) -> callable | None: + """ + If the input is a string that contains the keyword `SEPARATOR_KEYWORD`, we assume it's a correlation name + and return the corresponding function from the correlations library, otherwise return None + """ + # if the value is a string that contains keyword "from", we assume it's a correlation name + if isinstance(s, str) and SEPARATOR_KEYWORD in s: + return s.split(SEPARATOR_KEYWORD + " ")[1] + return None + + +def get_quantity_or_correlation(input_dict, key) -> callable | pint.Quantity: + value = input_dict[key] + input_dict.pop(key) # to keep track of unused input parameters, if any + + corr_name = get_correlation_from_string(value) + if corr_name: + corr_func = find_correlation_from_library(corr_name) + return corr_func + + else: + # The quantity is directly provided as a quantity + # TODO implement logger + if VERBOSE: + print(f"{key} = {value} \t provided by input") + quantity = ureg.parse_expression(str(value)) + return quantity + + @dataclass class SimulationResults: times: list diff --git a/test/test_input.yml b/test/test_input.yml index 8eedbe1..b2afa2e 100644 --- a/test/test_input.yml +++ b/test/test_input.yml @@ -1,6 +1,6 @@ # LIBRA Pi input tank_height: 1 m -D: 0.5 m # m, tank diameter +tank_diameter: 0.5 m # m, tank diameter nozzle_diameter: 0.001 m # m nb_nozzle: 10 # number of nozzles at bottom of the tank n_gen_rate: 1.0e+09 neutron/s # neutron generation rate @@ -8,7 +8,6 @@ tbr: 0.1 triton / neutron # tritium breeding ratio P_top: 1 bar # Pa, gas pressure at the top of the tank T: 600 celsius # temperature [K] = 600°C temperature flow_g: 400 sccm -sourrrce_T: 1e-15 molT/s # h_l: from h_l_malara dt: 0.2 hours diff --git a/test/test_simulation_input.py b/test/test_simulation_input.py new file mode 100644 index 0000000..bb9be7e --- /dev/null +++ b/test/test_simulation_input.py @@ -0,0 +1,27 @@ +import sparging + + +def test_get(): + # BUILD + input_dict = {"h_l": "from h_l_malara"} + # RUN + quantity = sparging.model.get_quantity_or_correlation(input_dict, "h_l") + + # TEST + assert callable(quantity), f"Expected a correlation function, got {quantity}" + + +# def test_get_source_T(): +# # BUILD +# params = sparging.helpers.get_input("test/test_input.yml") +# # RUN +# quantity = sparging.model.get_quantity_or_correlation(params, "source_T") + +# # TEST +# assert callable(quantity), "Expected a correlation function" + + +def test_get_from_file(): + # BUILD + params = sparging.helpers.get_input("test/test_input.yml") + sparging.model.SimulationInput(params) From c92bef9ea38270b3daf5c71bbf64ff69f7a5eca3 Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 11:42:57 -0400 Subject: [PATCH 030/121] more refactoring --- src/sparging/model.py | 31 +++++++++++++++++-------------- test/test_solve.py | 2 +- 2 files changed, 18 insertions(+), 15 deletions(-) diff --git a/src/sparging/model.py b/src/sparging/model.py index e20c9b4..21d3dae 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -126,32 +126,35 @@ def _get( return quantity(self) return quantity + else: + quantity = self.get_quantity_from_default_correlation(key, corr_name) + + if VERBOSE: + print(f"{key} = {quantity} \t calculated using default correlation") + + return quantity + + # TODO simplify this + def get_quantity_from_default_correlation(self, key, corr_name=None): # nothing found in input_dict -> use default correlation while True: + # default corr_name is the name of the key itself + corr_name = key if corr_name is None else corr_name # compute quantity using correlation, and if needed retrieve quantities it depends on + if corr_name not in c.correlations_dict.keys(): + raise KeyError( + f"Correlation for '{key}' not found in correlations dictionary. Missing a required input or wrongcorrelation name. Available correlations: {list(c.correlations_dict.keys())}" + ) try: - corr_name = ( - key if corr_name is None else corr_name - ) # default corr_name is the name of the key itself - quantity = c.correlations_dict[corr_name](self) # compute the quantity using the default correlation function - self.quantities_dict["computed"][key] = { - "quantity": str(quantity), - "correlation": corr_name, - } + quantity = c.correlations_dict[corr_name](self) break - except KeyError: - raise KeyError( - f"Correlation for '{corr_name}' not found in correlations dictionary. Missing a required input or wrong correlation name. Available correlations: {list(c.correlations_dict.keys())}" - ) except AttributeError as e: missing_attr = str(e).split("attribute '")[1].split("'")[0] print(f"AttributeError: missing attribute '{missing_attr}'") setattr( self, missing_attr, self._get(missing_attr) ) # recursively get missing attributes - if VERBOSE: - print(f"{key} = {quantity} \t calculated using default correlation") return quantity diff --git a/test/test_solve.py b/test/test_solve.py index 253b837..6b66d3d 100644 --- a/test/test_solve.py +++ b/test/test_solve.py @@ -28,7 +28,7 @@ def test_model_solve_incomplete_input(): Tests SimulationInput raises error when required input is missing. """ params = get_input("test/test_input.yml") - params.pop("D") # remove bubble velocity to test default value + params.pop("tank_diameter") # remove bubble velocity to test default value with pytest.raises(KeyError, match="Missing a required input"): model.SimulationInput(params) From 01755c5c3445137160fa4a35db2057e840b2cd90 Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 11:44:46 -0400 Subject: [PATCH 031/121] updated docs --- src/sparging/model.py | 1 - 1 file changed, 1 deletion(-) diff --git a/src/sparging/model.py b/src/sparging/model.py index 21d3dae..163ba5f 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -113,7 +113,6 @@ def _get( corr_name: str = None, ): """get a parameter value from input_dict, or compute it from correlation if not specified in input_dict - - input_dict: dictionary of input values and/or correlation names - key: name of the parameter to get in the input_dict - corr_name: name of the correlation to use if not specified in input_dict, will be the key itself by default """ From bfc5edba4bba47de9e7647557afc6c2d7945d4fd Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 11:55:10 -0400 Subject: [PATCH 032/121] type hinting + make sure units are stripped --- src/sparging/model.py | 79 +++++++++++++++++++++++++------------------ 1 file changed, 47 insertions(+), 32 deletions(-) diff --git a/src/sparging/model.py b/src/sparging/model.py index 163ba5f..8844b76 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -34,6 +34,25 @@ class SimulationInput: + P_0: pint.Quantity + eps_l: pint.Quantity + eps_g: pint.Quantity + E_g: pint.Quantity + D_l: pint.Quantity + h_l: pint.Quantity + K_s: pint.Quantity + tank_height: pint.Quantity + tank_diameter: pint.Quantity + nozzle_diameter: pint.Quantity + nb_nozzle: int + T: pint.Quantity + flow_g: pint.Quantity + d_b: pint.Quantity + Eo: pint.Quantity + Mo: pint.Quantity + Sc: pint.Quantity + Re: pint.Quantity + def __init__(self, input_dict: dict): self.input_dict = input_dict.copy() self.quantities_dict = { @@ -63,9 +82,8 @@ def __init__(self, input_dict: dict): self.nu_l = self.mu_l / self.rho_l self.D_l = self._get("D_l").to("m**2/s") self.K_s = self._get("K_s").to("mol/m**3/Pa") - self.P_0 = (self.P_top + self.rho_l * const_g * self.tank_height).to( - "bar" - ) # gas inlet pressure [Pa] = hydrostatic pressure at the bottom of the tank (neglecting gas fraction) + self.P_0 = (self.P_top + self.rho_l * const_g * self.tank_height).to("bar") + # gas inlet pressure [Pa] = hydrostatic pressure at the bottom of the tank (neglecting gas fraction) self.flow_g_vol = (self.flow_g.to("mol/s") * const_R * self.T / self.P_0).to( "m**3/s" ) # inlet gas volumetric flow rate @@ -319,18 +337,23 @@ def solve( ): dt = 0.2 * ureg("hours").to("seconds").magnitude # unpack parameters - tank_height, a, h_l, K_s, P_0, T, eps_g, eps_l, E_g, D_l = ( - input.tank_height.to("m").magnitude, - input.a.to("1/m").magnitude, - input.h_l.to("m/s").magnitude, - input.K_s.to("mol/m**3/Pa").magnitude, - input.P_0.to("Pa").magnitude, - input.T.to("K").magnitude, - input.eps_g.to("dimensionless").magnitude, - input.eps_l.to("dimensionless").magnitude, - input.E_g.to("m**2/s").magnitude, - input.D_l.to("m**2/s").magnitude, - ) + tank_height = input.tank_height.to("m").magnitude + tank_area = input.tank_area.to("m**2").magnitude + tank_volume = input.tank_volume.to("m**3").magnitude + a = input.a.to("1/m").magnitude + h_l = input.h_l.to("m/s").magnitude + K_s = input.K_s.to("mol/m**3/Pa").magnitude + P_0 = input.P_0.to("Pa").magnitude + T = input.T.to("K").magnitude + eps_g = input.eps_g.to("dimensionless").magnitude + eps_l = input.eps_l.to("dimensionless").magnitude + E_g = input.E_g.to("m**2/s").magnitude + D_l = input.D_l.to("m**2/s").magnitude + u_g0 = input.u_g0.to("m/s").magnitude + # convert T generation rate to T2 generation rate for the gas phase [mol T2 /m3/s], + # assuming bred T immediately combines to T2 + source_T2 = input.source_T.to("molT2/s/m**3").magnitude + # tank_area = np.pi * (params["D"] / 2) ** 2 # tank_volume = tank_area * tank_height @@ -350,19 +373,16 @@ def solve( c_T2, y_T2 = ufl.split(u) c_T2_n, y_T2_n = ufl.split(u_n) - vel_x = input.u_g0.magnitude # TODO velocity should vary with hydrostatic pressure + vel_x = u_g0 # TODO velocity should vary with hydrostatic pressure vel = dolfinx.fem.Constant(mesh, PETSc.ScalarType([vel_x])) """ vel = fem_func(U) v,interpolate(lambda x: v0 + 2*x[0])""" - h_l_const = dolfinx.fem.Constant(mesh, PETSc.ScalarType(input.h_l.magnitude)) + h_l_const = dolfinx.fem.Constant(mesh, PETSc.ScalarType(h_l)) - source_T2 = input.source_T.to( - "molT2/s/m**3" - ) # convert T generation rate to T2 generation rate for the gas phase [mol T2 /m3/s], assuming bred T immediately combines to T2 gen_T2 = dolfinx.fem.Constant( - mesh, PETSc.ScalarType(source_T2.magnitude) + mesh, PETSc.ScalarType(source_T2) ) # generation term [mol T2 /m3/s] # VARIATIONAL FORMULATION @@ -481,17 +501,12 @@ def solve( c_T2_solutions.append(c_T2_vals.copy()) y_T2_solutions.append(y_T2_vals.copy()) sources_T2.append( - gen_T2.value.copy() * input.tank_volume.magnitude + gen_T2.value.copy() * tank_volume ) # total T generation rate in the tank [mol/s] flux_T2 = dolfinx.fem.assemble_scalar( dolfinx.fem.form( - input.tank_area.magnitude - * vel_x - * P_0 - / (const.R * T) - * y_T2_post - * ds(2) + tank_area * vel_x * P_0 / (const.R * T) * y_T2_post * ds(2) ) ) # total T flux at the outlet [mol/s] @@ -512,7 +527,7 @@ def solve( dolfinx.fem.form(-E_g * ufl.inner(ufl.grad(P_0 * y_T2_post), n) * ds(1)) ) # total T dispersive flux at the inlet [Pa T2 /s/m2] flux_T2_inlet *= 1 / (const.R * T) * T2_to_T # convert to mol T/s/m2 - flux_T2_inlet *= input.tank_area.magnitude # convert to mol T/s + flux_T2_inlet *= tank_area # convert to mol T/s # fluxes_T2.append(flux_T2 + flux_T2_inlet) fluxes_T2.append(flux_T2) @@ -520,9 +535,7 @@ def solve( inventory_T2_salt = dolfinx.fem.assemble_scalar( dolfinx.fem.form(c_T2_post * ufl.dx) ) - inventory_T2_salt *= ( - input.tank_area.magnitude - ) # get total amount of T2 in [mol] + inventory_T2_salt *= tank_area # get total amount of T2 in [mol] inventories_T2_salt.append(inventory_T2_salt) # advance time @@ -530,6 +543,8 @@ def solve( inventories_T2_salt = np.array(inventories_T2_salt) + # TODO reattach units using wrapping + # https://pint.readthedocs.io/en/stable/advanced/performance.html#a-safer-method-wrapping results = SimulationResults( times=times, c_T2_solutions=c_T2_solutions, From 93208178a14a11e55a812284d38dc30aa3328f87 Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 11:57:54 -0400 Subject: [PATCH 033/121] python>3.12 --- environment.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/environment.yml b/environment.yml index 530d91c..8cfa8b6 100644 --- a/environment.yml +++ b/environment.yml @@ -2,6 +2,7 @@ name: libra_sparging channels: - conda-forge dependencies: + - python>=3.12 - fenics-dolfinx - matplotlib - pyvista From 472334415af30dae2eec56080421aaaf153a47b5 Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 11:58:12 -0400 Subject: [PATCH 034/121] removed classifiers --- pyproject.toml | 3 --- 1 file changed, 3 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 54cc9af..ba82865 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -14,9 +14,6 @@ authors = [ ] keywords = ["FEM", "sparging", "dolfinx"] classifiers = [ - "Programming Language :: Python :: 3", - "Programming Language :: Python :: 3.10", - "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "License :: OSI Approved :: MIT License", "Development Status :: 3 - Alpha", From 8234a1ab959e2df6790511978cd10fe1805e0afe Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 11:58:31 -0400 Subject: [PATCH 035/121] python requires --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index ba82865..b4c3316 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,7 +7,7 @@ name = "libra_sparging" version = "0.1.0" description = "A finite element model for sparging processes" readme = "README.md" -requires-python = ">=3.10" +requires-python = ">=3.12" license = {text = "LICENSE"} authors = [ {name = "Author Name", email = "author@example.com"}, From f85c4a2b09bbfaa0e3f017ee7fc97dd305063111 Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 15:28:17 -0400 Subject: [PATCH 036/121] example correlation --- example_correlation.py | 41 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 41 insertions(+) create mode 100644 example_correlation.py diff --git a/example_correlation.py b/example_correlation.py new file mode 100644 index 0000000..b3d99f6 --- /dev/null +++ b/example_correlation.py @@ -0,0 +1,41 @@ +from dataclasses import dataclass +from sparging.config import ureg, const + + +@dataclass +class Correlation: + identifier: str + function: callable + source: str | None = None + description: str | None = None + input_units: list[str] | None = None + + def __call__(self, **kwargs): + + # check the dimensions are correct + if self.input_units is not None: + for arg_name, expected_dimension in zip(kwargs, self.input_units): + arg = kwargs[arg_name] + if not isinstance(arg, ureg.Quantity): + raise ValueError( + f"Invalid input: expected a pint.Quantity with units of {expected_dimension}, got {arg} of type {type(arg)}" + ) + if not arg.check(expected_dimension): + raise ValueError( + f"Invalid input: expected dimensions of {expected_dimension}, got {arg.dimensionality}" + ) + return self.function(**kwargs).to_base_units() + + +h_highbie = Correlation( + identifier="h_l_higbie", + function=lambda D_l, u_g, d_b: ((D_l * u_g) / (const.pi * d_b)) ** 0.5, + source="Higbie 1935", + description="mass transfer coefficient for tritium in liquid FLiBe using Higbie penetration model", + input_units=("meter**2/s", "meter/s", "meter"), +) + +D_l = 2 * ureg("m**2/s") + +print(h_highbie(D_l=D_l, u_g=0.1 * ureg("m/s"), d_b=0.01 * ureg("m"))) +# h_highbie(1.0, 2.0, 3.0) From 59797b3d0a1440046fce64a0fccdf08734f9b9ba Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 16:28:08 -0400 Subject: [PATCH 037/121] removed correlation dict --- src/sparging/correlations.py | 304 +++++++++++++++++++++++++++++------ 1 file changed, 256 insertions(+), 48 deletions(-) diff --git a/src/sparging/correlations.py b/src/sparging/correlations.py index 394cb9d..5fb757a 100644 --- a/src/sparging/correlations.py +++ b/src/sparging/correlations.py @@ -8,57 +8,266 @@ import scipy.constants as const import warnings -U_G0_DEFAULT = 0.25 # m/s, typical bubble velocity according to Chavez 2021 +from dataclasses import dataclass +import enum + + +class CorrelationType(enum.Enum): + MASS_TRANSFER_COEFF = "h_l" + DENSITY = "rho_l" + DIFFUSIVITY = "D_l" + SOLUBILITY = "K_S" + VISCOSITY = "mu" + SURFACE_TENSION = "sigma" + GAS_VOID_FRACTION = "eps_g" + BUBBLE_DIAMETER = "d_b" + EOTVOS_NUMBER = "Eo" + MORTON_NUMBER = "Mo" + SCHMIDT_NUMBER = "Sc" + REYNOLDS_NUMBER = "Re" + BUBBLE_VELOCITY = "u_g0" + GAS_PHASE_DISPERSION = "E_g" + + +@dataclass +class Correlation: + identifier: str + function: callable + corr_type: CorrelationType + source: str | None = None + description: str | None = None + input_units: list[str] | None = None + + def __call__(self, **kwargs): + + # check the dimensions are correct + if self.input_units is not None: + for arg_name, expected_dimension in zip(kwargs, self.input_units): + arg = kwargs[arg_name] + if not isinstance(arg, ureg.Quantity): + raise ValueError( + f"Invalid input: expected a pint.Quantity with units of {expected_dimension}, got {arg} of type {type(arg)}" + ) + if not arg.check(expected_dimension): + raise ValueError( + f"Invalid input: expected dimensions of {expected_dimension}, got {arg.dimensionality}" + ) + return self.function(**kwargs).to_base_units() + + # TODO add a method that checks the validity of the input parameters based on the range of validity of the correlation, if provided in the description or source. This method could be called before running the simulation to warn the user if they are using a correlation outside of its validated range. -correlations_dict = { - "rho_l": lambda input: ureg.Quantity( - 2245 - 0.424 * input.T.to("celsius").magnitude, "kg/m**3" +class CorrelationGroup(list[Correlation]): + def __call__(self, identifier: str) -> Correlation: + for corr in self: + if corr.identifier == identifier: + return corr + raise ValueError(f"Correlation with identifier {identifier} not found in group") + + +correlations = CorrelationGroup([]) + +U_G0_DEFAULT = 0.25 # m/s, typical bubble velocity according to Chavez 2021 + +rho_l = Correlation( + identifier="rho_l", + function=lambda temperature: ureg.Quantity( + 2245 - 0.424 * temperature.to("celsius").magnitude, "kg/m**3" ), # density of Li2BeF4, Vidrio 2022 - "mu_l": lambda input: ureg.Quantity( - 0.116e-3 * np.exp(3755 / input.T.to("kelvin").magnitude), "Pa*s" + corr_type=CorrelationType.DENSITY, + source="Vidrio 2022", + description="density of Li2BeF4 as a function of temperature", + input_units=["kelvin"], +) +correlations.append(rho_l) + +mu_l = Correlation( + identifier="mu_l", + function=lambda temperature: ureg.Quantity( + 0.116e-3 * np.exp(3755 / temperature.to("kelvin").magnitude), "Pa*s" ), # kinematic viscosity of Li2BeF4, Cantor 1968 - "sigma_l": lambda input: ureg.Quantity( - 260 - 0.12 * input.T.to("celsius").magnitude, "dyn/cm" + corr_type=CorrelationType.VISCOSITY, + source="Cantor 1968", + description="dynamic viscosity of Li2BeF4 as a function of temperature", + input_units=["kelvin"], +) +correlations.append(mu_l) + +sigma_l = Correlation( + identifier="sigma_l", + function=lambda temperature: ureg.Quantity( + 260 - 0.12 * temperature.to("celsius").magnitude, "dyn/cm" ).to("N/m"), # surface tension of Li2BeF4,Cantor 1968 - "D_l": lambda input: ureg.Quantity( - 9.3e-7 * np.exp(-42e3 / (const.R * input.T.to("kelvin").magnitude)), "m**2/s" + corr_type=CorrelationType.SURFACE_TENSION, + source="Cantor 1968", + description="surface tension of Li2BeF4 as a function of temperature", + input_units=["kelvin"], +) +correlations.append(sigma_l) + +# TODO this could leverage HTM +D_l = Correlation( + identifier="D_l", + function=lambda temperature: ureg.Quantity( + 9.3e-7 * np.exp(-42e3 / (const_R * temperature.to("kelvin").magnitude)), + "m**2/s", ), # diffusivity of T in FLiBe, Calderoni 2008 - "K_s": lambda input: ureg.Quantity( - 7.9e-2 * np.exp(-35e3 / (const.R * input.T.to("kelvin").magnitude)), + corr_type=CorrelationType.DIFFUSIVITY, + source="Calderoni 2008", + description="diffusivity of tritium in liquid FLiBe as a function of temperature", + input_units=["kelvin"], +) +correlations.append(D_l) + +K_s = Correlation( + identifier="K_s", + function=lambda temperature: ureg.Quantity( + 7.9e-2 * np.exp(-35e3 / (const_R * temperature.to("kelvin").magnitude)), "mol/m**3/Pa", ), # solubility of T in FLiBe, Calderoni 2008 - "d_b": lambda input: get_d_b( - flow_g_vol=input.flow_g_vol, - nozzle_diameter=input.nozzle_diameter, - nb_nozzle=input.nb_nozzle, + corr_type=CorrelationType.SOLUBILITY, + source="Calderoni 2008", + description="solubility of tritium in liquid FLiBe as a function of temperature", + input_units=["kelvin"], +) +correlations.append(K_s) + +d_b = Correlation( + identifier="d_b", + function=lambda flow_g_vol, nozzle_diameter, nb_nozzle: get_d_b( + flow_g_vol=flow_g_vol, nozzle_diameter=nozzle_diameter, nb_nozzle=nb_nozzle ), # mean bubble diameter, Kanai 2017 - "Eo": lambda input: (const_g * input.drho * input.d_b**2 / input.sigma_l).to( + corr_type=CorrelationType.BUBBLE_DIAMETER, + input_units=["m**3/s", "m", "dimensionless"], +) +correlations.append(d_b) + +E_o = Correlation( + identifier="Eo", + function=lambda drho, d_b, sigma_l: (const_g * drho * d_b**2 / sigma_l).to( "dimensionless" ), # Eotvos number - "Mo": lambda input: ( - input.drho * const_g * input.mu_l**4 / (input.rho_l**2 * input.sigma_l**3) + corr_type=CorrelationType.EOTVOS_NUMBER, + input_units=["kg/m**3", "m", "N/m"], +) +correlations.append(E_o) + +Mo = Correlation( + identifier="Mo", + function=lambda drho, mu_l, rho_l, sigma_l: ( + drho * const_g * mu_l**4 / (rho_l**2 * sigma_l**3) ).to("dimensionless"), # Morton number - "Sc": lambda input: (input.nu_l / input.D_l).to("dimensionless"), # Schmidt number - "Re": lambda input: get_Re(input), # Reynolds number - "u_g0": lambda input: get_u_g0(input), # initial gas velocity - "eps_g": lambda input: get_eps_g(input), # gas void fraction - "h_l_malara": lambda input: get_h_malara( - input.D_l, input.d_b + corr_type=CorrelationType.MORTON_NUMBER, + input_units=["kg/m**3", "Pa*s", "kg/m**3", "N/m"], +) +correlations.append(Mo) + +Sc = Correlation( + identifier="Sc", + function=lambda nu_l, D_l: (nu_l / D_l).to("dimensionless"), # Schmidt number + corr_type=CorrelationType.SCHMIDT_NUMBER, + input_units=["m**2/s", "m**2/s"], +) +correlations.append(Sc) + +# NOTE on temporise +# Re = Correlation( +# identifier="Re", +# function=lambda input: get_Re(input), # Reynolds number +# corr_type=CorrelationType.REYNOLDS_NUMBER, +# input_units=None, # TODO this correlation needs access to multiple input parameters, need to figure out how to handle this +# ) + +u_g0 = Correlation( + identifier="u_g0", + function=lambda Eo, Mo, Re, mu_l, rho_l, d_b: get_u_g0( + Eo=Eo, Mo=Mo, Re=Re, mu_l=mu_l, rho_l=rho_l, d_b=d_b + ), # initial gas velocity + corr_type=CorrelationType.BUBBLE_VELOCITY, + input_units=[ + "dimensionless", + "dimensionless", + "dimensionless", + "Pa*s", + "kg/m**3", + "m", + ], +) +correlations.append(u_g0) + +eps_g = Correlation( + identifier="eps_g", + function=lambda temperature, P_0, sigma_l, d_b, flow_g, tank_diameter, u_g0: ( + get_eps_g( + T=temperature, + P_0=P_0, + sigma_l=sigma_l, + d_b=d_b, + flow_g=flow_g, + tank_diameter=tank_diameter, + u_g0=u_g0, + ) + ), # gas void fraction + corr_type=CorrelationType.GAS_VOID_FRACTION, + input_units=[ + "kelvin", + "Pa", + "N/m", + "m", + "m**3/s", + "m", + "m/s", + ], +) +correlations.append(eps_g) + +h_l_higbie = Correlation( + identifier="h_l_higbie", + function=lambda D_l, u_g, d_b: get_h_higbie( + D_l=D_l, u_g=u_g, d_b=d_b + ), # mass transfer coefficient with Higbie correlation + corr_type=CorrelationType.MASS_TRANSFER_COEFF, + source="Higbie 1935", + description="mass transfer coefficient for tritium in liquid FLiBe using Higbie penetration model", + input_units=["m**2/s", "m/s", "m"], +) +correlations.append(h_l_higbie) + +h_l_malara = Correlation( + identifier="h_l_malara", + function=lambda D_l, d_b: get_h_malara( + D_l=D_l, d_b=d_b ), # mass transfer coefficient with Malara correlation - "h_l_briggs": lambda input: get_h_briggs( - input.Re, input.Sc, input.D_l, input.d_b + corr_type=CorrelationType.MASS_TRANSFER_COEFF, + source="Malara 1995", + description="mass transfer coefficient for tritium in liquid FLiBe using Malara 1995 correlation (used for inert gas stripping from breeder droplets, may not be valid here)", + input_units=["m**2/s", "m"], +) +correlations.append(h_l_malara) + +h_l_briggs = Correlation( + identifier="h_l_briggs", + function=lambda Re, Sc, D_l, d_b: get_h_briggs( + Re=Re, Sc=Sc, D_l=D_l, d_b=d_b ), # mass transfer coefficient with Briggs correlation - "h_l_higbie": lambda input: get_h_higbie( - input.D_l, input.u_g0, input.d_b - ), # mass transfer coefficient with Higbie correlation - "E_g": lambda input: get_E_g( - input.tank_diameter, input.u_g0 + corr_type=CorrelationType.MASS_TRANSFER_COEFF, + source="Briggs 1970", + description="mass transfer coefficient for tritium in liquid FLiBe using Briggs 1970 correlation", + input_units=["dimensionless", "dimensionless", "m**2/s", "m"], +) +correlations.append(h_l_briggs) + +E_g = Correlation( + identifier="E_g", + function=lambda diameter, u_g: get_E_g( + diameter=diameter, u_g=u_g ), # gas phase axial dispersion coefficient - "source_T": lambda input: ( - input.tbr * input.n_gen_rate / (input.tank_volume) - ), # tritium generation source term -} + corr_type=CorrelationType.GAS_PHASE_DISPERSION, + source="Malara 1995", + description="gas phase axial dispersion coefficient [m2/s], Malara 1995 correlation models dispersion of the gas velocity distribution around the mean bubble velocity", + input_units=["m", "m/s"], +) +correlations.append(E_g) def get_d_b(flow_g_vol: float, nozzle_diameter: float, nb_nozzle: int) -> float: @@ -101,38 +310,37 @@ def get_Re(input: "SimulationInput") -> float: return Re.to("dimensionless") -def get_u_g0(input: "SimulationInput") -> float: # TODO move inside class ? +def get_u_g0(Eo, Mo, Re, mu_l, rho_l, d_b) -> float: # TODO move inside class ? """ bubble initial velocity [m/s], correlation for terminal velocity from Clift 1978 """ - H = (4 / 3 * input.Eo.magnitude * input.Mo.magnitude**-0.149) * ( - input.mu_l.magnitude / 0.0009 + H = (4 / 3 * Eo.magnitude * Mo.magnitude**-0.149) * ( + mu_l.magnitude / 0.0009 ) ** -0.14 if H > 59.3: J = 3.42 * H**0.441 elif H > 2: J = 0.94 * H**0.757 else: - J = input.Re * input.Mo**0.149 + 0.857 + J = Re * Mo**0.149 + 0.857 warnings.warn( - f"Warning: low Reynolds number {input.Re:.2e}, bubble size d_b = {input.d_b} m might be too small." + f"Warning: low Reynolds number {Re:.2e}, bubble size d_b = {d_b} m might be too small." f"Clift correlation will use default value for bubble velocity u_g0 = {U_G0_DEFAULT} m/s" ) - u_g0 = input.mu_l / (input.rho_l * input.d_b) * input.Mo**-0.149 * (J - 0.857) + u_g0 = mu_l / (rho_l * d_b) * Mo**-0.149 * (J - 0.857) if u_g0 > ureg("1 m/s") or u_g0 < ureg("0.1 m/s"): warnings.warn(f"Warning: bubble velocity {u_g0} is out of the typical range") return u_g0 -def get_eps_g(input: "SimulationInput") -> float: - """computes gas void fraction from ideal gas law and Young-Laplace pressure in the bubbles (neglecting hydrostatic pressure variation)""" +def get_eps_g(T, P_0, sigma_l, d_b, flow_g, tank_diameter, u_g0) -> float: eps_g = ( const_R - * input.T - / (input.P_0 + 4 * input.sigma_l / input.d_b) - * input.flow_g - / (np.pi * (input.tank_diameter / 2) ** 2 * input.u_g0) + * T + / (P_0 + 4 * sigma_l / d_b) + * flow_g + / (np.pi * (tank_diameter / 2) ** 2 * u_g0) ) if eps_g > 1 or eps_g < 0: warnings.warn(f"Warning: unphysical gas fraction: {eps_g}") From 63ad8120abdc49516a77041e30591357e3d3e7c7 Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 16:28:32 -0400 Subject: [PATCH 038/121] removed example fiel --- example_correlation.py | 41 ----------------------------------------- 1 file changed, 41 deletions(-) delete mode 100644 example_correlation.py diff --git a/example_correlation.py b/example_correlation.py deleted file mode 100644 index b3d99f6..0000000 --- a/example_correlation.py +++ /dev/null @@ -1,41 +0,0 @@ -from dataclasses import dataclass -from sparging.config import ureg, const - - -@dataclass -class Correlation: - identifier: str - function: callable - source: str | None = None - description: str | None = None - input_units: list[str] | None = None - - def __call__(self, **kwargs): - - # check the dimensions are correct - if self.input_units is not None: - for arg_name, expected_dimension in zip(kwargs, self.input_units): - arg = kwargs[arg_name] - if not isinstance(arg, ureg.Quantity): - raise ValueError( - f"Invalid input: expected a pint.Quantity with units of {expected_dimension}, got {arg} of type {type(arg)}" - ) - if not arg.check(expected_dimension): - raise ValueError( - f"Invalid input: expected dimensions of {expected_dimension}, got {arg.dimensionality}" - ) - return self.function(**kwargs).to_base_units() - - -h_highbie = Correlation( - identifier="h_l_higbie", - function=lambda D_l, u_g, d_b: ((D_l * u_g) / (const.pi * d_b)) ** 0.5, - source="Higbie 1935", - description="mass transfer coefficient for tritium in liquid FLiBe using Higbie penetration model", - input_units=("meter**2/s", "meter/s", "meter"), -) - -D_l = 2 * ureg("m**2/s") - -print(h_highbie(D_l=D_l, u_g=0.1 * ureg("m/s"), d_b=0.01 * ureg("m"))) -# h_highbie(1.0, 2.0, 3.0) From 948ffcef5db67c78af863bbfa84a729364c23ac4 Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 17:37:19 -0400 Subject: [PATCH 039/121] good progress! --- example2.py | 122 ++++++++++++++++++++++++++ src/sparging/__init__.py | 3 +- src/sparging/correlations.py | 118 ++++++++++++++------------ src/sparging/inputs.py | 160 +++++++++++++++++++++++++++++++++++ src/sparging/model.py | 2 +- 5 files changed, 351 insertions(+), 54 deletions(-) create mode 100644 example2.py create mode 100644 src/sparging/inputs.py diff --git a/example2.py b/example2.py new file mode 100644 index 0000000..1a5e230 --- /dev/null +++ b/example2.py @@ -0,0 +1,122 @@ +from sparging.config import ureg, const_R, const_g +from sparging import all_correlations +from sparging.model import solve +from sparging.inputs import ( + ColumnGeometry, + BreederMaterial, + OperatingParameters, + SpargingParameters, + SimulationInput, +) +import numpy as np + + +def source_from_tbr(tbr, n_gen_rate, tank_volume): + return tbr * n_gen_rate / tank_volume + + +geom = ColumnGeometry( + area=0.2 * ureg.m**2, + height=1.0 * ureg.m, + nozzle_diameter=0.001 * ureg.m, + nb_nozzle=12 * ureg.dimensionless, +) + +flibe = BreederMaterial( + name="FLiBe", + density=1940 * ureg.kg / ureg.m**3, + diffusivity=all_correlations("D_l"), + solubility=all_correlations("K_s"), +) + +operating_params = OperatingParameters( + temperature=600 * ureg.celsius, + P_top=1 * ureg.atm, + flow_g_vol=0.1 * ureg.m**3 / ureg.s, + irradiation_signal=1, # ignored for now + t_sparging=60 * ureg.s, +) + +sparging_params = SpargingParameters( + h_l=all_correlations("h_l_malara"), + eps_g=all_correlations("eps_g"), + u_g0=all_correlations("u_g0"), + d_b=all_correlations("d_b"), + rho_g=all_correlations("rho_g"), +) +# class method from_parameters that takes in objects like ColumnGeometry, BreederMaterial, OperatingParameters and returns a SimulationInput object with the appropriate correlations for the given parameters. This method should be able to handle cases where some of the parameters are already provided as correlations and should not overwrite them. +my_input = SimulationInput.from_parameters( + geom, flibe, operating_params, sparging_params +) +assert isinstance(my_input, SimulationInput) +# inputs = SimulationInput( +# nozzle_diameter=0.001 * ureg.m, +# nb_nozzle=12 * ureg.dimensionless, +# D_l=lambda T: ureg.Quantity( +# 9.3e-7 +# * ureg.m**2 +# / ureg.s +# * np.exp(-42e3 * ureg("J/mol") / (const_R * T.to("kelvin"))) +# ), +# K_s=1e-5 * ureg.mol / ureg.m**3 / ureg.Pa, +# tank_height=tank_height * ureg.m, +# tank_area=0.2 * ureg.m**2, # cross-sectional area of the tank [m^2] +# u_g0=corr.new_get_u_g0, # superficial gas velocity [m/s] +# T=600 * ureg.celsius, # temperature +# h_l=corr.get_h_malara, # mass transfer coefficient [m/s] +# P_0=1 * ureg.atm, # pressure [Pa] +# eps_g=0.01 * ureg.dimensionless, +# eps_l=0.99 * ureg.dimensionless, # liquid void fraction +# E_g=0.0 * ureg.kg / ureg.m**3 / ureg.s, +# source_T=source_from_tbr, +# extra_args={ +# "d_b": corr.get_d_b, +# "tbr": 0.1 * ureg("triton / neutron"), +# "n_gen_rate": 1e9 * ureg("neutron / s"), +# }, +# ) + +inputs = get_simulation_input( + geometry=ColumnGeometry(diameter=0.5 * ureg.m, height=tank_height * ureg.m), + breeder=BreederMaterial(...), + operating_params=OperatingParameters(...), +) + +inputs.nb_nozzle = 20000 + +# inputs = SimulationInput( +# nozzle_diameter=0.01 * ureg.m, # diameter of the gas injection nozzle [m] +# nb_nozzle=12, +# tank_height=tank_height * ureg.m, # height of the liquid in the tank [m] +# tank_area=1.0 * ureg.m**2, # cross-sectional area of the tank [m^2] +# u_g0=0.1, # superficial gas velocity [m/s] +# T=300 * ureg.K, # temperature [K] +# h_l=corr.get_h_malara, # mass transfer coefficient [m/s] (can be a number or a correlation function) +# K_S=2, +# P_0=1 * ureg.atm, # pressure [Pa] +# eps_g=0.01, # gas void fraction (can be a number or a correlation function) +# eps_l=0.99, # liquid void fraction (can be a number or a correlation function +# E_g=0.0, # gas phase source term [kg/m^3/s] (can be a number or a correlation function +# D_l=3, # diffusivity of tritium in liquid FLiBe [m^2/s] +# source_T=30 +# * ureg.molT +# / ureg.m**3 +# / ureg.s, # tritium source term [kg/m^3/s] (can be a number or a correlation function) +# ) + +# inputs.to_yaml(f"input_{tank_height}m.yml") +# inputs.to_json(f"input_{tank_height}m.json") + +unpacked_inputs = inputs.resolve() + +# inputs = SimulationInput.from_yaml(f"input_{tank_height}m.yml") +# inputs.T = 500 +# inputs.to_yaml(f"input_{tank_height}m_modified.yml") +output = solve(unpacked_inputs) + +# save output to file +output.profiles_to_csv(f"output_{tank_height}m.csv") + +# plot results +# from sparging import plotting +# plotting.plot_animation(output) diff --git a/src/sparging/__init__.py b/src/sparging/__init__.py index fc633f4..f30e7ca 100644 --- a/src/sparging/__init__.py +++ b/src/sparging/__init__.py @@ -6,7 +6,8 @@ from .model import SimulationResults from .animation import ConcentrationAnimator from .helpers import * -from .correlations import * +from .correlations import all_correlations, CorrelationGroup, Correlation +from .inputs import * __all__ = [ "SimulationInput", diff --git a/src/sparging/correlations.py b/src/sparging/correlations.py index 5fb757a..b740045 100644 --- a/src/sparging/correlations.py +++ b/src/sparging/correlations.py @@ -27,6 +27,7 @@ class CorrelationType(enum.Enum): REYNOLDS_NUMBER = "Re" BUBBLE_VELOCITY = "u_g0" GAS_PHASE_DISPERSION = "E_g" + PRESSURE = "P" @dataclass @@ -65,7 +66,7 @@ def __call__(self, identifier: str) -> Correlation: raise ValueError(f"Correlation with identifier {identifier} not found in group") -correlations = CorrelationGroup([]) +all_correlations = CorrelationGroup([]) U_G0_DEFAULT = 0.25 # m/s, typical bubble velocity according to Chavez 2021 @@ -79,7 +80,7 @@ def __call__(self, identifier: str) -> Correlation: description="density of Li2BeF4 as a function of temperature", input_units=["kelvin"], ) -correlations.append(rho_l) +all_correlations.append(rho_l) mu_l = Correlation( identifier="mu_l", @@ -91,7 +92,7 @@ def __call__(self, identifier: str) -> Correlation: description="dynamic viscosity of Li2BeF4 as a function of temperature", input_units=["kelvin"], ) -correlations.append(mu_l) +all_correlations.append(mu_l) sigma_l = Correlation( identifier="sigma_l", @@ -103,7 +104,7 @@ def __call__(self, identifier: str) -> Correlation: description="surface tension of Li2BeF4 as a function of temperature", input_units=["kelvin"], ) -correlations.append(sigma_l) +all_correlations.append(sigma_l) # TODO this could leverage HTM D_l = Correlation( @@ -117,7 +118,7 @@ def __call__(self, identifier: str) -> Correlation: description="diffusivity of tritium in liquid FLiBe as a function of temperature", input_units=["kelvin"], ) -correlations.append(D_l) +all_correlations.append(D_l) K_s = Correlation( identifier="K_s", @@ -130,7 +131,7 @@ def __call__(self, identifier: str) -> Correlation: description="solubility of tritium in liquid FLiBe as a function of temperature", input_units=["kelvin"], ) -correlations.append(K_s) +all_correlations.append(K_s) d_b = Correlation( identifier="d_b", @@ -140,7 +141,7 @@ def __call__(self, identifier: str) -> Correlation: corr_type=CorrelationType.BUBBLE_DIAMETER, input_units=["m**3/s", "m", "dimensionless"], ) -correlations.append(d_b) +all_correlations.append(d_b) E_o = Correlation( identifier="Eo", @@ -150,7 +151,7 @@ def __call__(self, identifier: str) -> Correlation: corr_type=CorrelationType.EOTVOS_NUMBER, input_units=["kg/m**3", "m", "N/m"], ) -correlations.append(E_o) +all_correlations.append(E_o) Mo = Correlation( identifier="Mo", @@ -160,7 +161,7 @@ def __call__(self, identifier: str) -> Correlation: corr_type=CorrelationType.MORTON_NUMBER, input_units=["kg/m**3", "Pa*s", "kg/m**3", "N/m"], ) -correlations.append(Mo) +all_correlations.append(Mo) Sc = Correlation( identifier="Sc", @@ -168,20 +169,21 @@ def __call__(self, identifier: str) -> Correlation: corr_type=CorrelationType.SCHMIDT_NUMBER, input_units=["m**2/s", "m**2/s"], ) -correlations.append(Sc) +all_correlations.append(Sc) -# NOTE on temporise -# Re = Correlation( -# identifier="Re", -# function=lambda input: get_Re(input), # Reynolds number -# corr_type=CorrelationType.REYNOLDS_NUMBER, -# input_units=None, # TODO this correlation needs access to multiple input parameters, need to figure out how to handle this -# ) +Re = Correlation( + identifier="Re", + function=lambda rho_l, u, d_b, mu_l: (rho_l * u * d_b / mu_l).to( + "dimensionless" + ), # Reynolds number + corr_type=CorrelationType.REYNOLDS_NUMBER, + input_units=["kg/m**3", "m/s", "m", "Pa*s"], +) u_g0 = Correlation( identifier="u_g0", - function=lambda Eo, Mo, Re, mu_l, rho_l, d_b: get_u_g0( - Eo=Eo, Mo=Mo, Re=Re, mu_l=mu_l, rho_l=rho_l, d_b=d_b + function=lambda Eo, Mo, mu_l, rho_l, d_b: get_u_g0( + Eo=Eo, Mo=Mo, mu_l=mu_l, rho_l=rho_l, d_b=d_b ), # initial gas velocity corr_type=CorrelationType.BUBBLE_VELOCITY, input_units=[ @@ -193,14 +195,14 @@ def __call__(self, identifier: str) -> Correlation: "m", ], ) -correlations.append(u_g0) +all_correlations.append(u_g0) eps_g = Correlation( identifier="eps_g", - function=lambda temperature, P_0, sigma_l, d_b, flow_g, tank_diameter, u_g0: ( + function=lambda temperature, P_bottom, sigma_l, d_b, flow_g, tank_diameter, u_g0: ( get_eps_g( T=temperature, - P_0=P_0, + P_0=P_bottom, sigma_l=sigma_l, d_b=d_b, flow_g=flow_g, @@ -219,7 +221,7 @@ def __call__(self, identifier: str) -> Correlation: "m/s", ], ) -correlations.append(eps_g) +all_correlations.append(eps_g) h_l_higbie = Correlation( identifier="h_l_higbie", @@ -231,7 +233,7 @@ def __call__(self, identifier: str) -> Correlation: description="mass transfer coefficient for tritium in liquid FLiBe using Higbie penetration model", input_units=["m**2/s", "m/s", "m"], ) -correlations.append(h_l_higbie) +all_correlations.append(h_l_higbie) h_l_malara = Correlation( identifier="h_l_malara", @@ -243,7 +245,7 @@ def __call__(self, identifier: str) -> Correlation: description="mass transfer coefficient for tritium in liquid FLiBe using Malara 1995 correlation (used for inert gas stripping from breeder droplets, may not be valid here)", input_units=["m**2/s", "m"], ) -correlations.append(h_l_malara) +all_correlations.append(h_l_malara) h_l_briggs = Correlation( identifier="h_l_briggs", @@ -255,7 +257,7 @@ def __call__(self, identifier: str) -> Correlation: description="mass transfer coefficient for tritium in liquid FLiBe using Briggs 1970 correlation", input_units=["dimensionless", "dimensionless", "m**2/s", "m"], ) -correlations.append(h_l_briggs) +all_correlations.append(h_l_briggs) E_g = Correlation( identifier="E_g", @@ -267,7 +269,41 @@ def __call__(self, identifier: str) -> Correlation: description="gas phase axial dispersion coefficient [m2/s], Malara 1995 correlation models dispersion of the gas velocity distribution around the mean bubble velocity", input_units=["m", "m/s"], ) -correlations.append(E_g) +all_correlations.append(E_g) + +drho = Correlation( + identifier="drho", + function=lambda rho_l, rho_g: (rho_l - rho_g).to( + "kg/m**3" + ), # density difference between liquid and gas + corr_type=CorrelationType.DENSITY, + input_units=["kg/m**3", "kg/m**3"], +) +all_correlations.append(drho) + + +he_molar_mass = ureg("4.003e-3 kg/mol") +rho_g = Correlation( + identifier="rho_g", + function=lambda temperature, P_bottom: ureg.Quantity( + (P_bottom * he_molar_mass / (const_R * temperature.to("kelvin"))).to("kg/m**3") + ), # ideal gas law for density of gas phase + corr_type=CorrelationType.DENSITY, + description="density of gas phase calculated using ideal gas law", + input_units=["kelvin", "Pa"], +) +all_correlations.append(rho_g) + +P_bottom = Correlation( + identifier="P_bottom", + function=lambda P_top, rho_l, height: ( + P_top + rho_l * const_g * height + ), # convert pressure to Pascals + corr_type=CorrelationType.PRESSURE, + description="pressure at the bottom of the system, converted to Pascals", + input_units=["Pa"], +) +all_correlations.append(P_bottom) def get_d_b(flow_g_vol: float, nozzle_diameter: float, nb_nozzle: int) -> float: @@ -290,27 +326,7 @@ def get_d_b(flow_g_vol: float, nozzle_diameter: float, nb_nozzle: int) -> float: ) -def get_Re(input: "SimulationInput") -> float: - try: - u = input.u_g0 - Re_old = input.Re - except AttributeError: - if VERBOSE: - print("in get_Re, use default bubble velocity") - u = U_G0_DEFAULT * ureg("m/s") - Re_old = 0 - - Re = input.rho_l * u * input.d_b / input.mu_l - if ( - Re_old != 0 and np.abs(np.log10(Re / Re_old)) > 1 - ): # check if Reynolds number changed by more than an order of magnitude - warnings.warn( - f"Re number changed significantly from {Re_old:.2e} to {Re:.2e}, bubble velocity u = {u} might be off. Check assumed bubble velocity in initial Reynolds number calculation" - ) - return Re.to("dimensionless") - - -def get_u_g0(Eo, Mo, Re, mu_l, rho_l, d_b) -> float: # TODO move inside class ? +def get_u_g0(Eo, Mo, mu_l, rho_l, d_b) -> float: # TODO move inside class ? """ bubble initial velocity [m/s], correlation for terminal velocity from Clift 1978 """ @@ -322,10 +338,8 @@ def get_u_g0(Eo, Mo, Re, mu_l, rho_l, d_b) -> float: # TODO move inside class ? elif H > 2: J = 0.94 * H**0.757 else: - J = Re * Mo**0.149 + 0.857 - warnings.warn( - f"Warning: low Reynolds number {Re:.2e}, bubble size d_b = {d_b} m might be too small." - f"Clift correlation will use default value for bubble velocity u_g0 = {U_G0_DEFAULT} m/s" + raise ValueError( + f"Clift correlation is not valid for H = {H}, which is calculated based on the input parameters. Check the input parameters and the validity of the correlation for the given range of parameters." ) u_g0 = mu_l / (rho_l * d_b) * Mo**-0.149 * (J - 0.857) if u_g0 > ureg("1 m/s") or u_g0 < ureg("0.1 m/s"): diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py new file mode 100644 index 0000000..6d1bd00 --- /dev/null +++ b/src/sparging/inputs.py @@ -0,0 +1,160 @@ +from dataclasses import dataclass +from sparging.correlations import Correlation +import pint + +import inspect +import warnings +import numpy as np +from .config import ureg, const_R, const_g, VERBOSE +from .correlations import all_correlations, U_G0_DEFAULT + + +@dataclass +class ColumnGeometry: + area: pint.Quantity + height: pint.Quantity + nozzle_diameter: pint.Quantity + nb_nozzle: int + + +@dataclass +class BreederMaterial: + name: str + diffusivity: pint.Quantity | Correlation + solubility: pint.Quantity | Correlation + density: pint.Quantity | Correlation | None = None + viscosity: pint.Quantity | Correlation | None = None + surface_tension: pint.Quantity | Correlation | None = None + + +@dataclass +class OperatingParameters: + temperature: pint.Quantity + flow_g_vol: pint.Quantity + irradiation_signal: pint.Quantity + t_sparging: pint.Quantity + P_bottom: pint.Quantity | Correlation | None = None + P_top: pint.Quantity | None = None + + +@dataclass +class SpargingParameters: + h_l: pint.Quantity | Correlation + eps_g: pint.Quantity | Correlation + u_g0: pint.Quantity | Correlation + d_b: pint.Quantity | Correlation + rho_g: pint.Quantity | Correlation + + +@dataclass +class SimulationInput: + height: pint.Quantity + area: pint.Quantity + u_g0: pint.Quantity | callable + temperature: pint.Quantity + h_l: pint.Quantity | callable + K_s: pint.Quantity | callable + P_0: pint.Quantity + eps_g: pint.Quantity | callable + eps_l: pint.Quantity | callable + E_g: pint.Quantity | callable + D_l: pint.Quantity | callable + source_T: pint.Quantity | callable + + def __post_init__(self): + # make sure there are only pint.Quantity or callables in the input, otherwise raise an error + for key in self.__dataclass_fields__.keys(): + value = getattr(self, key) + if not isinstance(value, pint.Quantity): + raise ValueError( + f"Invalid input for '{key}': expected a pint.Quantity, got {value} of type {type(value)}" + ) + + self._name_to_method = {"Re": self.get_Re, "Eo": all_correlations("Eo")} + + def resolve(self) -> "SimulationInput": + arguments_as_quantities = { + key: getattr(self, key) + for key in self.__dict__.keys() + if isinstance(getattr(self, key), pint.Quantity) + # TODO handle case when no units are given (float) to attach default units + } + + for key in self.__dict__.keys(): + value = getattr(self, key) + # if it's a correlation + if callable(value): + self.resolve_parameters(key, value, arguments_as_quantities) + + new_input = SimulationInput( + **{ + key: value + for key, value in arguments_as_quantities.items() + if key in self.__dataclass_fields__.keys() + } + ) + return new_input + + @classmethod + def from_parameters( + cls, + column_geometry: ColumnGeometry, + breeder_material: BreederMaterial, + operating_params: OperatingParameters, + sparging_params: SpargingParameters, + ): + all_params = { + **column_geometry.__dict__, + **breeder_material.__dict__, + **operating_params.__dict__, + **sparging_params.__dict__, + } + # remove None from all_params + all_params = { + key: value for key, value in all_params.items() if value is not None + } + arguments_as_pint_quantities = {} + for key, value in all_params.items(): + if isinstance(value, pint.Quantity): + arguments_as_pint_quantities[key] = value + + required_keys = cls.__dataclass_fields__.keys() + for key in required_keys: + if key in all_params.keys(): + value = all_params[key] + if isinstance(value, Correlation): + resolve_parameters( + key, value.function, arguments_as_pint_quantities, all_params + ) + else: + raise ValueError(f"Missing required parameter '{key}'") + + return cls(**arguments_as_pint_quantities) + + +def resolve_parameters(key: str, value: callable, args_quant: dict, all_args: dict): + corr_args = inspect.signature(value).parameters.keys() + if all(arg in args_quant for arg in corr_args): + args_quant[key] = value(**{arg: args_quant[arg] for arg in corr_args}) + + else: + for arg in corr_args: + if arg not in args_quant.keys(): + # means it's a callable/correlation + if arg in all_args.keys(): + arg_value = all_args[arg] + else: + arg_value = all_correlations(arg) + all_args[arg] = arg_value # cache it for future use + + assert isinstance(arg_value, Correlation), ( + f"Expected a correlation for argument '{arg}', got {arg_value} of type {type(arg_value)}" + ) + if callable(arg_value): + resolve_parameters(arg, arg_value.function, args_quant, all_args) + + # after resolving all arguments, we can resolve the correlation itself + try: + args_quant[key] = value(**{arg: args_quant[arg] for arg in corr_args}) + except Exception as e: + breakpoint() diff --git a/src/sparging/model.py b/src/sparging/model.py index 8844b76..8ba6767 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -33,7 +33,7 @@ # log.set_log_level(log.LogLevel.INFO) -class SimulationInput: +class SimulationInputBak: P_0: pint.Quantity eps_l: pint.Quantity eps_g: pint.Quantity From 6c68a4ecd09014773e2f313e3641f569d66970ff Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Fri, 3 Apr 2026 17:39:51 -0400 Subject: [PATCH 040/121] fixed units --- src/sparging/correlations.py | 18 ++++++++++-------- 1 file changed, 10 insertions(+), 8 deletions(-) diff --git a/src/sparging/correlations.py b/src/sparging/correlations.py index b740045..75b225b 100644 --- a/src/sparging/correlations.py +++ b/src/sparging/correlations.py @@ -109,10 +109,11 @@ def __call__(self, identifier: str) -> Correlation: # TODO this could leverage HTM D_l = Correlation( identifier="D_l", - function=lambda temperature: ureg.Quantity( - 9.3e-7 * np.exp(-42e3 / (const_R * temperature.to("kelvin").magnitude)), - "m**2/s", - ), # diffusivity of T in FLiBe, Calderoni 2008 + function=lambda temperature: ( + 9.3e-7 + * ureg("m**2/s") + * np.exp(-42e3 * ureg("J/mol") / (const_R * temperature.to("kelvin"))) + ), corr_type=CorrelationType.DIFFUSIVITY, source="Calderoni 2008", description="diffusivity of tritium in liquid FLiBe as a function of temperature", @@ -122,10 +123,11 @@ def __call__(self, identifier: str) -> Correlation: K_s = Correlation( identifier="K_s", - function=lambda temperature: ureg.Quantity( - 7.9e-2 * np.exp(-35e3 / (const_R * temperature.to("kelvin").magnitude)), - "mol/m**3/Pa", - ), # solubility of T in FLiBe, Calderoni 2008 + function=lambda temperature: ( + 7.9e-2 + * ureg("mol/m**3/Pa") + * np.exp(-35e3 * ureg("J/mol") / (const_R * temperature.to("kelvin"))) + ), corr_type=CorrelationType.SOLUBILITY, source="Calderoni 2008", description="solubility of tritium in liquid FLiBe as a function of temperature", From 0649414df4bfe7511dde77a3330848096690b746 Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Mon, 6 Apr 2026 10:08:52 -0400 Subject: [PATCH 041/121] "working" version --- example2.py | 32 ++++--- src/sparging/correlations.py | 36 ++++++-- src/sparging/inputs.py | 159 +++++++++++++++++++++++++++-------- src/sparging/model.py | 24 +++--- 4 files changed, 188 insertions(+), 63 deletions(-) diff --git a/example2.py b/example2.py index 1a5e230..c9d9498 100644 --- a/example2.py +++ b/example2.py @@ -25,8 +25,6 @@ def source_from_tbr(tbr, n_gen_rate, tank_volume): flibe = BreederMaterial( name="FLiBe", density=1940 * ureg.kg / ureg.m**3, - diffusivity=all_correlations("D_l"), - solubility=all_correlations("K_s"), ) operating_params = OperatingParameters( @@ -35,6 +33,10 @@ def source_from_tbr(tbr, n_gen_rate, tank_volume): flow_g_vol=0.1 * ureg.m**3 / ureg.s, irradiation_signal=1, # ignored for now t_sparging=60 * ureg.s, + source_T=1 + * ureg.molT + / ureg.m**3 + / ureg.s, # placeholder, will be calculated from TBR and neutron generation rate ) sparging_params = SpargingParameters( @@ -76,13 +78,13 @@ def source_from_tbr(tbr, n_gen_rate, tank_volume): # }, # ) -inputs = get_simulation_input( - geometry=ColumnGeometry(diameter=0.5 * ureg.m, height=tank_height * ureg.m), - breeder=BreederMaterial(...), - operating_params=OperatingParameters(...), -) +# inputs = get_simulation_input( +# geometry=ColumnGeometry(diameter=0.5 * ureg.m, height=tank_height * ureg.m), +# breeder=BreederMaterial(...), +# operating_params=OperatingParameters(...), +# ) -inputs.nb_nozzle = 20000 +# inputs.nb_nozzle = 20000 # inputs = SimulationInput( # nozzle_diameter=0.01 * ureg.m, # diameter of the gas injection nozzle [m] @@ -107,16 +109,24 @@ def source_from_tbr(tbr, n_gen_rate, tank_volume): # inputs.to_yaml(f"input_{tank_height}m.yml") # inputs.to_json(f"input_{tank_height}m.json") -unpacked_inputs = inputs.resolve() +# unpacked_inputs = inputs.resolve() # inputs = SimulationInput.from_yaml(f"input_{tank_height}m.yml") # inputs.T = 500 # inputs.to_yaml(f"input_{tank_height}m_modified.yml") -output = solve(unpacked_inputs) +# output = solve(unpacked_inputs) # save output to file -output.profiles_to_csv(f"output_{tank_height}m.csv") +# output.profiles_to_csv(f"output_{tank_height}m.csv") # plot results # from sparging import plotting # plotting.plot_animation(output) + +print(my_input) +output = solve( + my_input, t_final=7 * ureg.h, t_irr=[0, 1] * ureg.h, t_sparging=[0, 1] * ureg.h +) +from sparging import animation + +animation.create_animation(output) diff --git a/src/sparging/correlations.py b/src/sparging/correlations.py index 75b225b..d15050c 100644 --- a/src/sparging/correlations.py +++ b/src/sparging/correlations.py @@ -28,6 +28,8 @@ class CorrelationType(enum.Enum): BUBBLE_VELOCITY = "u_g0" GAS_PHASE_DISPERSION = "E_g" PRESSURE = "P" + FLOW_RATE = "flow_g_mol" + INTERFACIAL_AREA = "a" @dataclass @@ -201,13 +203,13 @@ def __call__(self, identifier: str) -> Correlation: eps_g = Correlation( identifier="eps_g", - function=lambda temperature, P_bottom, sigma_l, d_b, flow_g, tank_diameter, u_g0: ( + function=lambda temperature, P_bottom, sigma_l, d_b, flow_g_mol, tank_diameter, u_g0: ( get_eps_g( T=temperature, P_0=P_bottom, sigma_l=sigma_l, d_b=d_b, - flow_g=flow_g, + flow_g=flow_g_mol, tank_diameter=tank_diameter, u_g0=u_g0, ) @@ -263,8 +265,8 @@ def __call__(self, identifier: str) -> Correlation: E_g = Correlation( identifier="E_g", - function=lambda diameter, u_g: get_E_g( - diameter=diameter, u_g=u_g + function=lambda tank_diameter, u_g0: get_E_g( + diameter=tank_diameter, u_g=u_g0 ), # gas phase axial dispersion coefficient corr_type=CorrelationType.GAS_PHASE_DISPERSION, source="Malara 1995", @@ -307,6 +309,28 @@ def __call__(self, identifier: str) -> Correlation: ) all_correlations.append(P_bottom) +flow_g_mol = Correlation( + identifier="flow_g_mol", + function=lambda flow_g_vol, temperature, P_bottom: ( + flow_g_vol / (const_R * temperature) * P_bottom + ), # convert volumetric flow rate to molar flow rate using ideal gas law + corr_type=CorrelationType.FLOW_RATE, + description="molar flow rate of gas phase calculated from volumetric flow rate using ideal gas law", + input_units=["m**3/s", "kelvin", "Pa"], +) +all_correlations.append(flow_g_mol) + +specific_interfacial_area = Correlation( + identifier="a", + function=lambda d_b, eps_g: ( + 6 * eps_g / d_b + ), # specific interfacial area for spherical bubbles + corr_type=CorrelationType.INTERFACIAL_AREA, + description="specific interfacial area calculated from bubble diameter and gas void fraction, assuming spherical bubbles", + input_units=["m", "dimensionless"], +) +all_correlations.append(specific_interfacial_area) + def get_d_b(flow_g_vol: float, nozzle_diameter: float, nb_nozzle: int) -> float: """ @@ -358,9 +382,9 @@ def get_eps_g(T, P_0, sigma_l, d_b, flow_g, tank_diameter, u_g0) -> float: * flow_g / (np.pi * (tank_diameter / 2) ** 2 * u_g0) ) - if eps_g > 1 or eps_g < 0: + if eps_g > 1 * ureg("dimensionless") or eps_g < 0 * ureg("dimensionless"): warnings.warn(f"Warning: unphysical gas fraction: {eps_g}") - elif eps_g > 0.1: + elif eps_g > 0.1 * ureg("dimensionless"): warnings.warn( f"Warning: high gas fraction: {eps_g}, models assumptions may not hold" ) diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index 6d1bd00..22f515d 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -16,12 +16,20 @@ class ColumnGeometry: nozzle_diameter: pint.Quantity nb_nozzle: int + @property + def tank_diameter(self): + return np.sqrt(4 * self.area / np.pi) + + @property + def tank_volume(self): + return self.area * self.height + @dataclass class BreederMaterial: name: str - diffusivity: pint.Quantity | Correlation - solubility: pint.Quantity | Correlation + D_l: pint.Quantity | Correlation | None = None + K_s: pint.Quantity | Correlation | None = None density: pint.Quantity | Correlation | None = None viscosity: pint.Quantity | Correlation | None = None surface_tension: pint.Quantity | Correlation | None = None @@ -35,6 +43,9 @@ class OperatingParameters: t_sparging: pint.Quantity P_bottom: pint.Quantity | Correlation | None = None P_top: pint.Quantity | None = None + source_T: pint.Quantity | Correlation | None = ( + None # source term for tritium generation, in molT/m^3/s + ) @dataclass @@ -44,22 +55,28 @@ class SpargingParameters: u_g0: pint.Quantity | Correlation d_b: pint.Quantity | Correlation rho_g: pint.Quantity | Correlation + E_g: pint.Quantity | Correlation | None = None + a: pint.Quantity | Correlation | None = None @dataclass class SimulationInput: height: pint.Quantity area: pint.Quantity - u_g0: pint.Quantity | callable + u_g0: pint.Quantity temperature: pint.Quantity - h_l: pint.Quantity | callable - K_s: pint.Quantity | callable - P_0: pint.Quantity - eps_g: pint.Quantity | callable - eps_l: pint.Quantity | callable - E_g: pint.Quantity | callable - D_l: pint.Quantity | callable - source_T: pint.Quantity | callable + a: pint.Quantity + h_l: pint.Quantity + K_s: pint.Quantity + P_bottom: pint.Quantity + eps_g: pint.Quantity + E_g: pint.Quantity + D_l: pint.Quantity + source_T: pint.Quantity + + @property + def volume(self): + return self.area * self.height def __post_init__(self): # make sure there are only pint.Quantity or callables in the input, otherwise raise an error @@ -70,8 +87,6 @@ def __post_init__(self): f"Invalid input for '{key}': expected a pint.Quantity, got {value} of type {type(value)}" ) - self._name_to_method = {"Re": self.get_Re, "Eo": all_correlations("Eo")} - def resolve(self) -> "SimulationInput": arguments_as_quantities = { key: getattr(self, key) @@ -103,33 +118,105 @@ def from_parameters( operating_params: OperatingParameters, sparging_params: SpargingParameters, ): - all_params = { - **column_geometry.__dict__, - **breeder_material.__dict__, - **operating_params.__dict__, - **sparging_params.__dict__, - } # remove None from all_params - all_params = { - key: value for key, value in all_params.items() if value is not None - } - arguments_as_pint_quantities = {} - for key, value in all_params.items(): - if isinstance(value, pint.Quantity): - arguments_as_pint_quantities[key] = value - + previously_resolved = {} + all_params = [ + column_geometry, + breeder_material, + operating_params, + sparging_params, + ] + needed_values = {} required_keys = cls.__dataclass_fields__.keys() - for key in required_keys: - if key in all_params.keys(): - value = all_params[key] - if isinstance(value, Correlation): - resolve_parameters( - key, value.function, arguments_as_pint_quantities, all_params + for needed_key in required_keys: + for prms in all_params: + if hasattr(prms, needed_key): + value = getattr(prms, needed_key) + + if isinstance(value, pint.Quantity): + needed_values[needed_key] = value # TODO do we even need this? + elif isinstance(value, Correlation): + quantity = resolve_correlation( + value, + column_geometry, + breeder_material, + operating_params, + sparging_params, + previously_resolved=previously_resolved, + ) + needed_values[needed_key] = quantity + elif value is None: + # try to find a default correlation for this key + print( + f"Value for '{needed_key}' is None, looking for a default correlation..." + ) + if default_correlation := all_correlations(needed_key): + quantity = resolve_correlation( + default_correlation, + column_geometry, + breeder_material, + operating_params, + sparging_params, + previously_resolved=previously_resolved, + ) + needed_values[needed_key] = quantity + + return cls(**needed_values) + + +def resolve_correlation( + correlation: Correlation, + column_geometry, + breeder_material, + operating_params, + sparging_params, + previously_resolved={}, +): + all_params = [ + column_geometry, + breeder_material, + operating_params, + sparging_params, + ] + corr_args = inspect.signature(correlation.function).parameters.keys() + for arg in corr_args: + for prms in all_params: + if hasattr(prms, arg): + value = getattr(prms, arg) + if isinstance(value, pint.Quantity): + previously_resolved[arg] = value # TODO do we even need this? + break + elif isinstance(value, Correlation): + previously_resolved[arg] = resolve_correlation( + value, + column_geometry, + breeder_material, + operating_params, + sparging_params, + previously_resolved, ) - else: - raise ValueError(f"Missing required parameter '{key}'") + break + + # if the arg is not in the params, find a default correlation + if arg not in previously_resolved.keys(): + print( + f"Argument '{arg}' not found in input parameters, looking for a default correlation..." + ) + if default_correlation := all_correlations(arg): + previously_resolved[arg] = resolve_correlation( + default_correlation, + column_geometry, + breeder_material, + operating_params, + sparging_params, + previously_resolved, + ) - return cls(**arguments_as_pint_quantities) + assert all(arg in previously_resolved for arg in corr_args), ( + f"Could not resolve all arguments for correlation '{correlation.identifier}'. " + f"Missing arguments: {[arg for arg in corr_args if arg not in previously_resolved]}" + ) + return correlation.function(**{arg: previously_resolved[arg] for arg in corr_args}) def resolve_parameters(key: str, value: callable, args_quant: dict, all_args: dict): diff --git a/src/sparging/model.py b/src/sparging/model.py index 8ba6767..77bb358 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -21,6 +21,8 @@ from sparging.config import ureg, const_R, const_g, VERBOSE +from sparging.inputs import SimulationInput + hours_to_seconds = 3600 days_to_seconds = 24 * hours_to_seconds T2_to_T = 2 @@ -332,21 +334,21 @@ def profiles_to_csv(self, output_path: str): df_y_T2.to_csv(output_path + "_y_T2.csv", index=False) -def solve( - input: SimulationInput, t_final: float, t_irr: float | list, t_sparging: list = None -): +def solve(input: SimulationInput, t_final: float, t_irr, t_sparging): + t_final = t_final.to("seconds").magnitude + t_irr = t_irr.to("seconds").magnitude + t_sparging = t_sparging.to("seconds").magnitude dt = 0.2 * ureg("hours").to("seconds").magnitude # unpack parameters - tank_height = input.tank_height.to("m").magnitude - tank_area = input.tank_area.to("m**2").magnitude - tank_volume = input.tank_volume.to("m**3").magnitude + tank_height = input.height.to("m").magnitude + tank_area = input.area.to("m**2").magnitude + tank_volume = input.volume.to("m**3").magnitude a = input.a.to("1/m").magnitude h_l = input.h_l.to("m/s").magnitude K_s = input.K_s.to("mol/m**3/Pa").magnitude - P_0 = input.P_0.to("Pa").magnitude - T = input.T.to("K").magnitude + P_0 = input.P_bottom.to("Pa").magnitude + T = input.temperature.to("K").magnitude eps_g = input.eps_g.to("dimensionless").magnitude - eps_l = input.eps_l.to("dimensionless").magnitude E_g = input.E_g.to("m**2/s").magnitude D_l = input.D_l.to("m**2/s").magnitude u_g0 = input.u_g0.to("m/s").magnitude @@ -354,12 +356,14 @@ def solve( # assuming bred T immediately combines to T2 source_T2 = input.source_T.to("molT2/s/m**3").magnitude + eps_l = 1 - eps_g + # tank_area = np.pi * (params["D"] / 2) ** 2 # tank_volume = tank_area * tank_height # MESH AND FUNCTION SPACES mesh = dolfinx.mesh.create_interval( - MPI.COMM_WORLD, 1000, points=[0, input.tank_height.magnitude] + MPI.COMM_WORLD, 1000, points=[0, input.height.magnitude] ) fdim = mesh.topology.dim - 1 cg_el = basix.ufl.element("Lagrange", mesh.basix_cell(), degree=1, shape=(2,)) From 9ec7856ccd3686b3dc5177b409346cecad1676e5 Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Mon, 6 Apr 2026 10:09:57 -0400 Subject: [PATCH 042/121] removed old function --- src/sparging/inputs.py | 28 ---------------------------- 1 file changed, 28 deletions(-) diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index 22f515d..af517d9 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -217,31 +217,3 @@ def resolve_correlation( f"Missing arguments: {[arg for arg in corr_args if arg not in previously_resolved]}" ) return correlation.function(**{arg: previously_resolved[arg] for arg in corr_args}) - - -def resolve_parameters(key: str, value: callable, args_quant: dict, all_args: dict): - corr_args = inspect.signature(value).parameters.keys() - if all(arg in args_quant for arg in corr_args): - args_quant[key] = value(**{arg: args_quant[arg] for arg in corr_args}) - - else: - for arg in corr_args: - if arg not in args_quant.keys(): - # means it's a callable/correlation - if arg in all_args.keys(): - arg_value = all_args[arg] - else: - arg_value = all_correlations(arg) - all_args[arg] = arg_value # cache it for future use - - assert isinstance(arg_value, Correlation), ( - f"Expected a correlation for argument '{arg}', got {arg_value} of type {type(arg_value)}" - ) - if callable(arg_value): - resolve_parameters(arg, arg_value.function, args_quant, all_args) - - # after resolving all arguments, we can resolve the correlation itself - try: - args_quant[key] = value(**{arg: args_quant[arg] for arg in corr_args}) - except Exception as e: - breakpoint() From 48e0778ea4570a1a0183dfbf4462a7643756f271 Mon Sep 17 00:00:00 2001 From: RemDelaporteMathurin Date: Mon, 6 Apr 2026 10:11:57 -0400 Subject: [PATCH 043/121] removed resolve --- src/sparging/inputs.py | 23 ----------------------- 1 file changed, 23 deletions(-) diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index af517d9..859f15f 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -87,29 +87,6 @@ def __post_init__(self): f"Invalid input for '{key}': expected a pint.Quantity, got {value} of type {type(value)}" ) - def resolve(self) -> "SimulationInput": - arguments_as_quantities = { - key: getattr(self, key) - for key in self.__dict__.keys() - if isinstance(getattr(self, key), pint.Quantity) - # TODO handle case when no units are given (float) to attach default units - } - - for key in self.__dict__.keys(): - value = getattr(self, key) - # if it's a correlation - if callable(value): - self.resolve_parameters(key, value, arguments_as_quantities) - - new_input = SimulationInput( - **{ - key: value - for key, value in arguments_as_quantities.items() - if key in self.__dataclass_fields__.keys() - } - ) - return new_input - @classmethod def from_parameters( cls, From 3008b96d57c9220ebd0011c8efae43aacdb5b968 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Mon, 6 Apr 2026 11:39:35 -0400 Subject: [PATCH 044/121] source_T from tbr, flow_g_vol from flow_g_mol, more realistic input --- example2.py | 24 ++++++++++++------------ src/sparging/correlations.py | 32 ++++++++++++++++++++++++++++++-- src/sparging/inputs.py | 17 +++++++++-------- 3 files changed, 51 insertions(+), 22 deletions(-) diff --git a/example2.py b/example2.py index c9d9498..373f181 100644 --- a/example2.py +++ b/example2.py @@ -24,33 +24,30 @@ def source_from_tbr(tbr, n_gen_rate, tank_volume): flibe = BreederMaterial( name="FLiBe", - density=1940 * ureg.kg / ureg.m**3, ) operating_params = OperatingParameters( temperature=600 * ureg.celsius, P_top=1 * ureg.atm, - flow_g_vol=0.1 * ureg.m**3 / ureg.s, + # flow_g_vol=0.1 * ureg.m**3 / ureg.s, + flow_g_mol=10000 * ureg.sccm, irradiation_signal=1, # ignored for now t_sparging=60 * ureg.s, - source_T=1 - * ureg.molT - / ureg.m**3 - / ureg.s, # placeholder, will be calculated from TBR and neutron generation rate + tbr=0.1 * ureg("triton / neutron"), + n_gen_rate=1e9 * ureg("neutron / s"), ) sparging_params = SpargingParameters( h_l=all_correlations("h_l_malara"), - eps_g=all_correlations("eps_g"), - u_g0=all_correlations("u_g0"), - d_b=all_correlations("d_b"), - rho_g=all_correlations("rho_g"), ) + # class method from_parameters that takes in objects like ColumnGeometry, BreederMaterial, OperatingParameters and returns a SimulationInput object with the appropriate correlations for the given parameters. This method should be able to handle cases where some of the parameters are already provided as correlations and should not overwrite them. my_input = SimulationInput.from_parameters( geom, flibe, operating_params, sparging_params ) + assert isinstance(my_input, SimulationInput) + # inputs = SimulationInput( # nozzle_diameter=0.001 * ureg.m, # nb_nozzle=12 * ureg.dimensionless, @@ -125,8 +122,11 @@ def source_from_tbr(tbr, n_gen_rate, tank_volume): print(my_input) output = solve( - my_input, t_final=7 * ureg.h, t_irr=[0, 1] * ureg.h, t_sparging=[0, 1] * ureg.h + my_input, + t_final=6 * ureg.days, + t_irr=[0, 96] * ureg.h, + t_sparging=[24, 1e9] * ureg.h, ) from sparging import animation -animation.create_animation(output) +animation.create_animation(output, show_activity=True) diff --git a/src/sparging/correlations.py b/src/sparging/correlations.py index d15050c..80ad3a9 100644 --- a/src/sparging/correlations.py +++ b/src/sparging/correlations.py @@ -11,6 +11,8 @@ from dataclasses import dataclass import enum +U_G0_DEFAULT = 0.25 # m/s, typical bubble velocity according to Chavez 2021 + class CorrelationType(enum.Enum): MASS_TRANSFER_COEFF = "h_l" @@ -30,6 +32,7 @@ class CorrelationType(enum.Enum): PRESSURE = "P" FLOW_RATE = "flow_g_mol" INTERFACIAL_AREA = "a" + TRITIUM_SOURCE = "source_T" @dataclass @@ -40,6 +43,7 @@ class Correlation: source: str | None = None description: str | None = None input_units: list[str] | None = None + output_units: str | None = None def __call__(self, **kwargs): @@ -55,7 +59,10 @@ def __call__(self, **kwargs): raise ValueError( f"Invalid input: expected dimensions of {expected_dimension}, got {arg.dimensionality}" ) - return self.function(**kwargs).to_base_units() + result = self.function(**kwargs) + if self.output_units is not None: + result = result.to(self.output_units) + return result.to_base_units() # TODO add a method that checks the validity of the input parameters based on the range of validity of the correlation, if provided in the description or source. This method could be called before running the simulation to warn the user if they are using a correlation outside of its validated range. @@ -70,7 +77,6 @@ def __call__(self, identifier: str) -> Correlation: all_correlations = CorrelationGroup([]) -U_G0_DEFAULT = 0.25 # m/s, typical bubble velocity according to Chavez 2021 rho_l = Correlation( identifier="rho_l", @@ -320,6 +326,18 @@ def __call__(self, identifier: str) -> Correlation: ) all_correlations.append(flow_g_mol) +flow_g_vol = Correlation( + identifier="flow_g_vol", + function=lambda flow_g_mol, temperature, P_bottom: ( + flow_g_mol * const_R * temperature / P_bottom + ), # convert molar flow rate to volumetric flow rate using ideal gas law + corr_type=CorrelationType.FLOW_RATE, + description="volumetric flow rate of gas phase calculated from molar flow rate using ideal gas law", + input_units=["mol/s", "kelvin", "Pa"], +) +all_correlations.append(flow_g_vol) + + specific_interfacial_area = Correlation( identifier="a", function=lambda d_b, eps_g: ( @@ -331,6 +349,16 @@ def __call__(self, identifier: str) -> Correlation: ) all_correlations.append(specific_interfacial_area) +source_T_from_tbr = Correlation( + identifier="source_T", + function=lambda tbr, n_gen_rate, tank_volume: ( + tbr * n_gen_rate / tank_volume + ), # source term for tritium generation calculated from TBR and neutron generation rate + corr_type=CorrelationType.TRITIUM_SOURCE, + input_units=["dimensionless", "neutron/s", "m**3"], +) +all_correlations.append(source_T_from_tbr) + def get_d_b(flow_g_vol: float, nozzle_diameter: float, nb_nozzle: int) -> float: """ diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index 859f15f..c7730b2 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -38,23 +38,24 @@ class BreederMaterial: @dataclass class OperatingParameters: temperature: pint.Quantity - flow_g_vol: pint.Quantity irradiation_signal: pint.Quantity t_sparging: pint.Quantity + flow_g_vol: pint.Quantity | None = None + flow_g_mol: pint.Quantity | None = None P_bottom: pint.Quantity | Correlation | None = None P_top: pint.Quantity | None = None - source_T: pint.Quantity | Correlation | None = ( - None # source term for tritium generation, in molT/m^3/s - ) + tbr: pint.Quantity | None = None + n_gen_rate: pint.Quantity | None = None + source_T: pint.Quantity | Correlation | None = None @dataclass class SpargingParameters: h_l: pint.Quantity | Correlation - eps_g: pint.Quantity | Correlation - u_g0: pint.Quantity | Correlation - d_b: pint.Quantity | Correlation - rho_g: pint.Quantity | Correlation + eps_g: pint.Quantity | Correlation | None = None + u_g0: pint.Quantity | Correlation | None = None + d_b: pint.Quantity | Correlation | None = None + rho_g: pint.Quantity | Correlation | None = None E_g: pint.Quantity | Correlation | None = None a: pint.Quantity | Correlation | None = None From 96c8a2a94fbe52eddada168a3168b19268112720 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Mon, 6 Apr 2026 12:03:35 -0400 Subject: [PATCH 045/121] to solve: use correlation.__call__ --- src/sparging/correlations.py | 10 +++++++--- src/sparging/inputs.py | 4 +++- 2 files changed, 10 insertions(+), 4 deletions(-) diff --git a/src/sparging/correlations.py b/src/sparging/correlations.py index 80ad3a9..779f742 100644 --- a/src/sparging/correlations.py +++ b/src/sparging/correlations.py @@ -46,10 +46,10 @@ class Correlation: output_units: str | None = None def __call__(self, **kwargs): - # check the dimensions are correct if self.input_units is not None: for arg_name, expected_dimension in zip(kwargs, self.input_units): + print(f"Checking input for '{arg_name}': expected {expected_dimension}") arg = kwargs[arg_name] if not isinstance(arg, ureg.Quantity): raise ValueError( @@ -57,11 +57,12 @@ def __call__(self, **kwargs): ) if not arg.check(expected_dimension): raise ValueError( - f"Invalid input: expected dimensions of {expected_dimension}, got {arg.dimensionality}" + f"Invalid input when resolving for {self.identifier}: expected dimensions of {expected_dimension}, got {arg.dimensionality}" ) result = self.function(**kwargs) if self.output_units is not None: result = result.to(self.output_units) + breakpoint() return result.to_base_units() # TODO add a method that checks the validity of the input parameters based on the range of validity of the correlation, if provided in the description or source. This method could be called before running the simulation to warn the user if they are using a correlation outside of its validated range. @@ -72,7 +73,9 @@ def __call__(self, identifier: str) -> Correlation: for corr in self: if corr.identifier == identifier: return corr - raise ValueError(f"Correlation with identifier {identifier} not found in group") + raise ValueError( + f"Correlation with identifier {identifier} not found in correlation group" + ) all_correlations = CorrelationGroup([]) @@ -346,6 +349,7 @@ def __call__(self, identifier: str) -> Correlation: corr_type=CorrelationType.INTERFACIAL_AREA, description="specific interfacial area calculated from bubble diameter and gas void fraction, assuming spherical bubbles", input_units=["m", "dimensionless"], + output_units="1/m", ) all_correlations.append(specific_interfacial_area) diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index c7730b2..b3dd581 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -1,4 +1,5 @@ from dataclasses import dataclass +from statistics import correlation from sparging.correlations import Correlation import pint @@ -194,4 +195,5 @@ def resolve_correlation( f"Could not resolve all arguments for correlation '{correlation.identifier}'. " f"Missing arguments: {[arg for arg in corr_args if arg not in previously_resolved]}" ) - return correlation.function(**{arg: previously_resolved[arg] for arg in corr_args}) + # return correlation.function(**{arg: previously_resolved[arg] for arg in corr_args}) + return correlation(**{arg: previously_resolved[arg] for arg in corr_args}) From 00607bbc1f546f5a201de6ab2cbfa75eeec585d4 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Mon, 6 Apr 2026 21:08:33 -0400 Subject: [PATCH 046/121] more realistic input --- example2.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/example2.py b/example2.py index 373f181..db8f0f9 100644 --- a/example2.py +++ b/example2.py @@ -19,7 +19,7 @@ def source_from_tbr(tbr, n_gen_rate, tank_volume): area=0.2 * ureg.m**2, height=1.0 * ureg.m, nozzle_diameter=0.001 * ureg.m, - nb_nozzle=12 * ureg.dimensionless, + nb_nozzle=10 * ureg.dimensionless, ) flibe = BreederMaterial( @@ -30,7 +30,7 @@ def source_from_tbr(tbr, n_gen_rate, tank_volume): temperature=600 * ureg.celsius, P_top=1 * ureg.atm, # flow_g_vol=0.1 * ureg.m**3 / ureg.s, - flow_g_mol=10000 * ureg.sccm, + flow_g_mol=400 * ureg.sccm, irradiation_signal=1, # ignored for now t_sparging=60 * ureg.s, tbr=0.1 * ureg("triton / neutron"), From 7957b4d1417ed53a3c14306bee0add921b471b84 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Mon, 6 Apr 2026 21:09:55 -0400 Subject: [PATCH 047/121] avoid bug in pint.Quantity.check with "dimensionless", check output units --- src/sparging/correlations.py | 37 ++++++++++++++++++++++++++---------- 1 file changed, 27 insertions(+), 10 deletions(-) diff --git a/src/sparging/correlations.py b/src/sparging/correlations.py index 779f742..3445dae 100644 --- a/src/sparging/correlations.py +++ b/src/sparging/correlations.py @@ -4,6 +4,7 @@ if TYPE_CHECKING: from sparging.model import SimulationInput + import pint import numpy as np import scipy.constants as const import warnings @@ -55,15 +56,16 @@ def __call__(self, **kwargs): raise ValueError( f"Invalid input: expected a pint.Quantity with units of {expected_dimension}, got {arg} of type {type(arg)}" ) - if not arg.check(expected_dimension): + if not arg.dimensionality == ureg(expected_dimension).dimensionality: + breakpoint() raise ValueError( f"Invalid input when resolving for {self.identifier}: expected dimensions of {expected_dimension}, got {arg.dimensionality}" ) result = self.function(**kwargs) if self.output_units is not None: - result = result.to(self.output_units) - breakpoint() - return result.to_base_units() + return result.to(self.output_units) + else: + return result.to_base_units() # TODO add a method that checks the validity of the input parameters based on the range of validity of the correlation, if provided in the description or source. This method could be called before running the simulation to warn the user if they are using a correlation outside of its validated range. @@ -73,9 +75,10 @@ def __call__(self, identifier: str) -> Correlation: for corr in self: if corr.identifier == identifier: return corr - raise ValueError( + warnings.warn( f"Correlation with identifier {identifier} not found in correlation group" ) + return None all_correlations = CorrelationGroup([]) @@ -129,6 +132,7 @@ def __call__(self, identifier: str) -> Correlation: source="Calderoni 2008", description="diffusivity of tritium in liquid FLiBe as a function of temperature", input_units=["kelvin"], + output_units="m**2/s", ) all_correlations.append(D_l) @@ -143,6 +147,7 @@ def __call__(self, identifier: str) -> Correlation: source="Calderoni 2008", description="solubility of tritium in liquid FLiBe as a function of temperature", input_units=["kelvin"], + output_units="mol/m**3/Pa", ) all_correlations.append(K_s) @@ -153,6 +158,7 @@ def __call__(self, identifier: str) -> Correlation: ), # mean bubble diameter, Kanai 2017 corr_type=CorrelationType.BUBBLE_DIAMETER, input_units=["m**3/s", "m", "dimensionless"], + output_units="m", ) all_correlations.append(d_b) @@ -200,13 +206,13 @@ def __call__(self, identifier: str) -> Correlation: ), # initial gas velocity corr_type=CorrelationType.BUBBLE_VELOCITY, input_units=[ - "dimensionless", "dimensionless", "dimensionless", "Pa*s", "kg/m**3", "m", ], + output_units="m/s", ) all_correlations.append(u_g0) @@ -229,10 +235,11 @@ def __call__(self, identifier: str) -> Correlation: "Pa", "N/m", "m", - "m**3/s", + "mol/s", "m", "m/s", ], + output_units="dimensionless", ) all_correlations.append(eps_g) @@ -245,6 +252,7 @@ def __call__(self, identifier: str) -> Correlation: source="Higbie 1935", description="mass transfer coefficient for tritium in liquid FLiBe using Higbie penetration model", input_units=["m**2/s", "m/s", "m"], + output_units="m/s", ) all_correlations.append(h_l_higbie) @@ -257,6 +265,7 @@ def __call__(self, identifier: str) -> Correlation: source="Malara 1995", description="mass transfer coefficient for tritium in liquid FLiBe using Malara 1995 correlation (used for inert gas stripping from breeder droplets, may not be valid here)", input_units=["m**2/s", "m"], + output_units="m/s", ) all_correlations.append(h_l_malara) @@ -269,6 +278,7 @@ def __call__(self, identifier: str) -> Correlation: source="Briggs 1970", description="mass transfer coefficient for tritium in liquid FLiBe using Briggs 1970 correlation", input_units=["dimensionless", "dimensionless", "m**2/s", "m"], + output_units="m/s", ) all_correlations.append(h_l_briggs) @@ -281,6 +291,7 @@ def __call__(self, identifier: str) -> Correlation: source="Malara 1995", description="gas phase axial dispersion coefficient [m2/s], Malara 1995 correlation models dispersion of the gas velocity distribution around the mean bubble velocity", input_units=["m", "m/s"], + output_units="m**2/s", ) all_correlations.append(E_g) @@ -314,7 +325,8 @@ def __call__(self, identifier: str) -> Correlation: ), # convert pressure to Pascals corr_type=CorrelationType.PRESSURE, description="pressure at the bottom of the system, converted to Pascals", - input_units=["Pa"], + input_units=["Pa", "kg/m**3", "m"], + output_units="Pa", ) all_correlations.append(P_bottom) @@ -326,6 +338,7 @@ def __call__(self, identifier: str) -> Correlation: corr_type=CorrelationType.FLOW_RATE, description="molar flow rate of gas phase calculated from volumetric flow rate using ideal gas law", input_units=["m**3/s", "kelvin", "Pa"], + output_units="mol/s", ) all_correlations.append(flow_g_mol) @@ -337,6 +350,7 @@ def __call__(self, identifier: str) -> Correlation: corr_type=CorrelationType.FLOW_RATE, description="volumetric flow rate of gas phase calculated from molar flow rate using ideal gas law", input_units=["mol/s", "kelvin", "Pa"], + output_units="m**3/s", ) all_correlations.append(flow_g_vol) @@ -359,12 +373,15 @@ def __call__(self, identifier: str) -> Correlation: tbr * n_gen_rate / tank_volume ), # source term for tritium generation calculated from TBR and neutron generation rate corr_type=CorrelationType.TRITIUM_SOURCE, - input_units=["dimensionless", "neutron/s", "m**3"], + input_units=["triton/neutron", "neutron/s", "m**3"], + output_units="molT/m**3/s", ) all_correlations.append(source_T_from_tbr) -def get_d_b(flow_g_vol: float, nozzle_diameter: float, nb_nozzle: int) -> float: +def get_d_b( + flow_g_vol: pint.Quantity, nozzle_diameter: pint.Quantity, nb_nozzle: pint.Quantity +) -> float: """ mean bubble diameter [m], Kanai 2017 (reported by Evans 2026) """ From ca16d0fff95b253c3d19c5c0f710a05fb443a545 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Mon, 6 Apr 2026 21:11:59 -0400 Subject: [PATCH 048/121] remove print --- src/sparging/correlations.py | 1 - 1 file changed, 1 deletion(-) diff --git a/src/sparging/correlations.py b/src/sparging/correlations.py index 3445dae..6da0108 100644 --- a/src/sparging/correlations.py +++ b/src/sparging/correlations.py @@ -50,7 +50,6 @@ def __call__(self, **kwargs): # check the dimensions are correct if self.input_units is not None: for arg_name, expected_dimension in zip(kwargs, self.input_units): - print(f"Checking input for '{arg_name}': expected {expected_dimension}") arg = kwargs[arg_name] if not isinstance(arg, ureg.Quantity): raise ValueError( From 535be294dbe77d6eb465d69752ee25084163f8c7 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Mon, 6 Apr 2026 21:38:33 -0400 Subject: [PATCH 049/121] simplify from_parameters(), break down graph search algo in several functions --- src/sparging/inputs.py | 182 +++++++++++++++++++++-------------------- 1 file changed, 93 insertions(+), 89 deletions(-) diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index b3dd581..148e5e0 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -80,13 +80,15 @@ class SimulationInput: def volume(self): return self.area * self.height + # TODO __str__ method + def __post_init__(self): # make sure there are only pint.Quantity or callables in the input, otherwise raise an error for key in self.__dataclass_fields__.keys(): value = getattr(self, key) if not isinstance(value, pint.Quantity): raise ValueError( - f"Invalid input for '{key}': expected a pint.Quantity, got {value} of type {type(value)}" + f"In {self.__class__.__name__}: Invalid type for '{key}': expected a pint.Quantity, got {value} of type {type(value)}" ) @classmethod @@ -97,103 +99,105 @@ def from_parameters( operating_params: OperatingParameters, sparging_params: SpargingParameters, ): - # remove None from all_params - previously_resolved = {} - all_params = [ + input_objects = [ column_geometry, breeder_material, operating_params, sparging_params, ] - needed_values = {} - required_keys = cls.__dataclass_fields__.keys() - for needed_key in required_keys: - for prms in all_params: - if hasattr(prms, needed_key): - value = getattr(prms, needed_key) - - if isinstance(value, pint.Quantity): - needed_values[needed_key] = value # TODO do we even need this? - elif isinstance(value, Correlation): - quantity = resolve_correlation( - value, - column_geometry, - breeder_material, - operating_params, - sparging_params, - previously_resolved=previously_resolved, - ) - needed_values[needed_key] = quantity - elif value is None: - # try to find a default correlation for this key - print( - f"Value for '{needed_key}' is None, looking for a default correlation..." - ) - if default_correlation := all_correlations(needed_key): - quantity = resolve_correlation( - default_correlation, - column_geometry, - breeder_material, - operating_params, - sparging_params, - previously_resolved=previously_resolved, - ) - needed_values[needed_key] = quantity - - return cls(**needed_values) + resolved_parameters = {} + required_keys = ( + cls.__dataclass_fields__.keys() + ) # these parameters will be used to solve the model + + for required_key in required_keys: + find_in_graph(required_key, resolved_parameters, graph=input_objects) + + return cls(**{arg: resolved_parameters[arg] for arg in required_keys}) + + +def find_in_graph( + required_node: str, discovered_nodes: dict, graph: list[object] +) -> dict: + """Abstracts SimulationInput construction as a graph search problem. "Correlation" object are seen as a path to the corresponding node + - required_node: parameter we want to obtain (e.g. h_l) + - discovered_nodes: already discovered parameters as pint.Quantity + - graph: list of objects in which to search + - returns the updated discovered_nodes with the required_node added + """ + # first check if the required node is already discovered + if required_node in discovered_nodes: + if VERBOSE: + print(f"Found required node '{required_node}' in discovered nodes...") + return discovered_nodes + + # then check if the required node is given as input (either as a pint.Quantity or as a Correlation) + result = check_input(required_node, graph) + + if result is None: + # look for default correlation + if (result := all_correlations(required_node)) is not None: + if VERBOSE: + print( + f"Found default correlation for required node '{required_node}': {result.identifier}" + ) + else: + raise KeyError( + f"Could not find path to required node '{required_node}' in the graph or in the default correlations" + ) + if isinstance(result, Correlation): + result, discovered_nodes = resolve_correlation( + corr=result, resolved_quantities=discovered_nodes, graph=graph + ) # also update discovered_nodes with the nodes possibly discovered during recursive search + + assert isinstance(result, pint.Quantity), ( + f"Result for required node '{required_node}' is not a pint.Quantity after resolution, got {result} of type {type(result)}" + ) + discovered_nodes.update({required_node: result}) + return discovered_nodes + + +def check_input( + required_node: str, input_objs: list[object] +) -> pint.Quantity | Correlation | None: + """look for pint.Quantity or Correlation given in input objects""" + for object in input_objs: + # scan for the required node in the attributes of the object + if (result := getattr(object, required_node, None)) is not None: + if isinstance(result, pint.Quantity): + # required node was found + if VERBOSE: + print( + f"Found Quantity for required node '{required_node}' in graph: {result}" + ) + break + elif isinstance(result, Correlation): + if VERBOSE: + print( + f"Found correlation for required node '{required_node}' in graph: {result.identifier}" + ) + break + else: + raise ValueError( + f"In check_input: found result for '{required_node}': but expected a Correlation or a pint.Quantity, got {result} of type {type(result)}" + ) def resolve_correlation( - correlation: Correlation, - column_geometry, - breeder_material, - operating_params, - sparging_params, - previously_resolved={}, -): - all_params = [ - column_geometry, - breeder_material, - operating_params, - sparging_params, - ] - corr_args = inspect.signature(correlation.function).parameters.keys() + corr: Correlation, resolved_quantities: dict, graph: list[object] +) -> dict: + corr_args = inspect.signature(corr.function).parameters.keys() for arg in corr_args: - for prms in all_params: - if hasattr(prms, arg): - value = getattr(prms, arg) - if isinstance(value, pint.Quantity): - previously_resolved[arg] = value # TODO do we even need this? - break - elif isinstance(value, Correlation): - previously_resolved[arg] = resolve_correlation( - value, - column_geometry, - breeder_material, - operating_params, - sparging_params, - previously_resolved, - ) - break + if VERBOSE: + print(f"Resolving argument '{arg}' for correlation '{corr.identifier}'...") + resolved_quantities = find_in_graph(arg, resolved_quantities, graph) - # if the arg is not in the params, find a default correlation - if arg not in previously_resolved.keys(): - print( - f"Argument '{arg}' not found in input parameters, looking for a default correlation..." - ) - if default_correlation := all_correlations(arg): - previously_resolved[arg] = resolve_correlation( - default_correlation, - column_geometry, - breeder_material, - operating_params, - sparging_params, - previously_resolved, - ) + assert all(arg in resolved_quantities for arg in corr_args), ( + f"Could not resolve all arguments for correlation '{corr.identifier}'. " + f"Missing arguments: {[arg for arg in corr_args if arg not in resolved_quantities]}" + ) - assert all(arg in previously_resolved for arg in corr_args), ( - f"Could not resolve all arguments for correlation '{correlation.identifier}'. " - f"Missing arguments: {[arg for arg in corr_args if arg not in previously_resolved]}" + return ( + corr(**{arg: resolved_quantities[arg] for arg in corr_args}), + resolved_quantities, ) - # return correlation.function(**{arg: previously_resolved[arg] for arg in corr_args}) - return correlation(**{arg: previously_resolved[arg] for arg in corr_args}) From 25b7a67bfd712cf14580550468c49afdf6acbf2f Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Mon, 6 Apr 2026 21:39:14 -0400 Subject: [PATCH 050/121] working input corresponding to Libra Pi --- example2.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/example2.py b/example2.py index db8f0f9..3256157 100644 --- a/example2.py +++ b/example2.py @@ -32,13 +32,13 @@ def source_from_tbr(tbr, n_gen_rate, tank_volume): # flow_g_vol=0.1 * ureg.m**3 / ureg.s, flow_g_mol=400 * ureg.sccm, irradiation_signal=1, # ignored for now - t_sparging=60 * ureg.s, + t_sparging=60 * ureg.s, # TODO implement tbr=0.1 * ureg("triton / neutron"), n_gen_rate=1e9 * ureg("neutron / s"), ) sparging_params = SpargingParameters( - h_l=all_correlations("h_l_malara"), + h_l=all_correlations("h_l_briggs"), ) # class method from_parameters that takes in objects like ColumnGeometry, BreederMaterial, OperatingParameters and returns a SimulationInput object with the appropriate correlations for the given parameters. This method should be able to handle cases where some of the parameters are already provided as correlations and should not overwrite them. @@ -123,9 +123,9 @@ def source_from_tbr(tbr, n_gen_rate, tank_volume): print(my_input) output = solve( my_input, - t_final=6 * ureg.days, - t_irr=[0, 96] * ureg.h, - t_sparging=[24, 1e9] * ureg.h, + t_final=3 * ureg.days, + t_irr=[0, 12] * ureg.h, + t_sparging=[0, 1e9] * ureg.h, ) from sparging import animation From 4ba8521d08ea3184d302abf4cde8ab066b055442 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Mon, 6 Apr 2026 21:39:47 -0400 Subject: [PATCH 051/121] fixed Re and added nu_l correlation --- src/sparging/correlations.py | 16 +++++++++++++++- 1 file changed, 15 insertions(+), 1 deletion(-) diff --git a/src/sparging/correlations.py b/src/sparging/correlations.py index 6da0108..5c051f2 100644 --- a/src/sparging/correlations.py +++ b/src/sparging/correlations.py @@ -107,6 +107,19 @@ def __call__(self, identifier: str) -> Correlation: ) all_correlations.append(mu_l) +nu_l = Correlation( + identifier="nu_l", + function=lambda mu_l, rho_l: ( + mu_l / rho_l + ), # kinematic viscosity of Li2BeF4 calculated from dynamic viscosity and density + corr_type=CorrelationType.VISCOSITY, + source="calculated from mu_l and rho_l", + description="kinematic viscosity of Li2BeF4 calculated from dynamic viscosity and density", + input_units=["Pa*s", "kg/m**3"], + output_units="m**2/s", +) +all_correlations.append(nu_l) + sigma_l = Correlation( identifier="sigma_l", function=lambda temperature: ureg.Quantity( @@ -191,12 +204,13 @@ def __call__(self, identifier: str) -> Correlation: Re = Correlation( identifier="Re", - function=lambda rho_l, u, d_b, mu_l: (rho_l * u * d_b / mu_l).to( + function=lambda rho_l, u_g0, d_b, mu_l: (rho_l * u_g0 * d_b / mu_l).to( "dimensionless" ), # Reynolds number corr_type=CorrelationType.REYNOLDS_NUMBER, input_units=["kg/m**3", "m/s", "m", "Pa*s"], ) +all_correlations.append(Re) u_g0 = Correlation( identifier="u_g0", From 7fa5658ad10e649f090b59180cb24ccff130b28e Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Mon, 6 Apr 2026 21:40:47 -0400 Subject: [PATCH 052/121] working --- src/sparging/inputs.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index 148e5e0..538c780 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -161,6 +161,7 @@ def check_input( required_node: str, input_objs: list[object] ) -> pint.Quantity | Correlation | None: """look for pint.Quantity or Correlation given in input objects""" + result = None for object in input_objs: # scan for the required node in the attributes of the object if (result := getattr(object, required_node, None)) is not None: @@ -181,6 +182,7 @@ def check_input( raise ValueError( f"In check_input: found result for '{required_node}': but expected a Correlation or a pint.Quantity, got {result} of type {type(result)}" ) + return result def resolve_correlation( From 83d44241972d4cdb6fdd991567d6af4828f87fc4 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 7 Apr 2026 10:52:32 -0400 Subject: [PATCH 053/121] check all_correlations contains wanted correlation before fetching it --- src/sparging/correlations.py | 21 ++++++++++++++++++--- src/sparging/inputs.py | 17 ++++++++++------- 2 files changed, 28 insertions(+), 10 deletions(-) diff --git a/src/sparging/correlations.py b/src/sparging/correlations.py index 5c051f2..9f113ad 100644 --- a/src/sparging/correlations.py +++ b/src/sparging/correlations.py @@ -56,7 +56,6 @@ def __call__(self, **kwargs): f"Invalid input: expected a pint.Quantity with units of {expected_dimension}, got {arg} of type {type(arg)}" ) if not arg.dimensionality == ureg(expected_dimension).dimensionality: - breakpoint() raise ValueError( f"Invalid input when resolving for {self.identifier}: expected dimensions of {expected_dimension}, got {arg.dimensionality}" ) @@ -74,10 +73,26 @@ def __call__(self, identifier: str) -> Correlation: for corr in self: if corr.identifier == identifier: return corr - warnings.warn( + raise ValueError( f"Correlation with identifier {identifier} not found in correlation group" ) - return None + # warnings.warn( + # f"Correlation with identifier {identifier} not found in correlation group" + # ) + # return None + + def __contains__(self, key: str | Correlation): + if isinstance(key, str): + for corr in self: + if corr.identifier == key: + return True + return False + elif isinstance(key, Correlation): + return super().__contains__(key) + else: + raise TypeError( + f"Type not valid for correlation group membership check, expected str or Correlation, got {type(key)}" + ) all_correlations = CorrelationGroup([]) diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index 538c780..55212c1 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -2,7 +2,7 @@ from statistics import correlation from sparging.correlations import Correlation import pint - +from typing import List import inspect import warnings import numpy as np @@ -117,7 +117,11 @@ def from_parameters( def find_in_graph( - required_node: str, discovered_nodes: dict, graph: list[object] + required_node: str, + discovered_nodes: dict, + graph: List[ + SpargingParameters | OperatingParameters | BreederMaterial | ColumnGeometry + ], ) -> dict: """Abstracts SimulationInput construction as a graph search problem. "Correlation" object are seen as a path to the corresponding node - required_node: parameter we want to obtain (e.g. h_l) @@ -132,17 +136,16 @@ def find_in_graph( return discovered_nodes # then check if the required node is given as input (either as a pint.Quantity or as a Correlation) - result = check_input(required_node, graph) - - if result is None: + if (result := check_input(required_node, graph)) is None: # look for default correlation - if (result := all_correlations(required_node)) is not None: + if required_node in all_correlations: + result = all_correlations(required_node) if VERBOSE: print( f"Found default correlation for required node '{required_node}': {result.identifier}" ) else: - raise KeyError( + raise ValueError( f"Could not find path to required node '{required_node}' in the graph or in the default correlations" ) if isinstance(result, Correlation): From ab45b81d675e95714d36fdafdb473d52dd3f53f1 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 7 Apr 2026 11:02:35 -0400 Subject: [PATCH 054/121] removed unnecessary code/imports --- example2.py | 3 +-- main.py | 1 + src/sparging/correlations.py | 4 ---- src/sparging/inputs.py | 6 ++---- 4 files changed, 4 insertions(+), 10 deletions(-) diff --git a/example2.py b/example2.py index 3256157..97c14a6 100644 --- a/example2.py +++ b/example2.py @@ -1,4 +1,4 @@ -from sparging.config import ureg, const_R, const_g +from sparging.config import ureg from sparging import all_correlations from sparging.model import solve from sparging.inputs import ( @@ -8,7 +8,6 @@ SpargingParameters, SimulationInput, ) -import numpy as np def source_from_tbr(tbr, n_gen_rate, tank_volume): diff --git a/main.py b/main.py index b6e62df..a944a4a 100644 --- a/main.py +++ b/main.py @@ -13,6 +13,7 @@ ) if __name__ == "__main__": + assert False params = get_input(YAML_INPUT_PATH) sim_input = model.SimulationInput(params) diff --git a/src/sparging/correlations.py b/src/sparging/correlations.py index 9f113ad..ad761e6 100644 --- a/src/sparging/correlations.py +++ b/src/sparging/correlations.py @@ -76,10 +76,6 @@ def __call__(self, identifier: str) -> Correlation: raise ValueError( f"Correlation with identifier {identifier} not found in correlation group" ) - # warnings.warn( - # f"Correlation with identifier {identifier} not found in correlation group" - # ) - # return None def __contains__(self, key: str | Correlation): if isinstance(key, str): diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index 55212c1..58ccd6a 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -1,13 +1,11 @@ from dataclasses import dataclass -from statistics import correlation from sparging.correlations import Correlation import pint from typing import List import inspect -import warnings import numpy as np -from .config import ureg, const_R, const_g, VERBOSE -from .correlations import all_correlations, U_G0_DEFAULT +from .config import VERBOSE +from .correlations import all_correlations @dataclass From b6e2890427b1eae305b78330ca0e4005dc1d961c Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 7 Apr 2026 11:09:37 -0400 Subject: [PATCH 055/121] added __str__ to SimulationInput --- src/sparging/inputs.py | 9 +++++++++ src/sparging/model.py | 1 - 2 files changed, 9 insertions(+), 1 deletion(-) diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index 58ccd6a..bc7a85e 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -113,6 +113,15 @@ def from_parameters( return cls(**{arg: resolved_parameters[arg] for arg in required_keys}) + def __str__(self): + return "\n".join( + [ + f"{name}: {value}" + for name in self.__dataclass_fields__ + for value in [getattr(self, name)] + ] + ) + def find_in_graph( required_node: str, diff --git a/src/sparging/model.py b/src/sparging/model.py index 77bb358..00ca27c 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -29,7 +29,6 @@ T_to_T2 = 1 / T2_to_T EPS = 1e-26 -# VERBOSE = False SEPARATOR_KEYWORD = "from" # log.set_log_level(log.LogLevel.INFO) From 861d590951b7cc7c31fc1b1914a062e519a2f6bb Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 7 Apr 2026 12:05:17 -0400 Subject: [PATCH 056/121] use logger instead of VERBOSE, removed unnecessary code/imports --- example2.py | 74 +++++++----------------------------- src/sparging/__init__.py | 5 +-- src/sparging/config.py | 2 - src/sparging/correlations.py | 2 +- src/sparging/inputs.py | 38 +++++++++--------- src/sparging/model.py | 2 +- 6 files changed, 35 insertions(+), 88 deletions(-) diff --git a/example2.py b/example2.py index 97c14a6..dcf6256 100644 --- a/example2.py +++ b/example2.py @@ -1,5 +1,6 @@ from sparging.config import ureg from sparging import all_correlations +from sparging import animation from sparging.model import solve from sparging.inputs import ( ColumnGeometry, @@ -8,10 +9,14 @@ SpargingParameters, SimulationInput, ) +import logging + +logger = logging.getLogger(__name__) +logging.basicConfig(level=logging.INFO) -def source_from_tbr(tbr, n_gen_rate, tank_volume): - return tbr * n_gen_rate / tank_volume +# def source_from_tbr(tbr, n_gen_rate, tank_volume): +# return tbr * n_gen_rate / tank_volume geom = ColumnGeometry( @@ -28,7 +33,6 @@ def source_from_tbr(tbr, n_gen_rate, tank_volume): operating_params = OperatingParameters( temperature=600 * ureg.celsius, P_top=1 * ureg.atm, - # flow_g_vol=0.1 * ureg.m**3 / ureg.s, flow_g_mol=400 * ureg.sccm, irradiation_signal=1, # ignored for now t_sparging=60 * ureg.s, # TODO implement @@ -40,6 +44,12 @@ def source_from_tbr(tbr, n_gen_rate, tank_volume): h_l=all_correlations("h_l_briggs"), ) + +# from sparging.inputs import find_in_graph + +# dict = find_in_graph("drho", {}, [geom, flibe, operating_params, sparging_params]) + +# breakpoint() # class method from_parameters that takes in objects like ColumnGeometry, BreederMaterial, OperatingParameters and returns a SimulationInput object with the appropriate correlations for the given parameters. This method should be able to handle cases where some of the parameters are already provided as correlations and should not overwrite them. my_input = SimulationInput.from_parameters( geom, flibe, operating_params, sparging_params @@ -47,61 +57,6 @@ def source_from_tbr(tbr, n_gen_rate, tank_volume): assert isinstance(my_input, SimulationInput) -# inputs = SimulationInput( -# nozzle_diameter=0.001 * ureg.m, -# nb_nozzle=12 * ureg.dimensionless, -# D_l=lambda T: ureg.Quantity( -# 9.3e-7 -# * ureg.m**2 -# / ureg.s -# * np.exp(-42e3 * ureg("J/mol") / (const_R * T.to("kelvin"))) -# ), -# K_s=1e-5 * ureg.mol / ureg.m**3 / ureg.Pa, -# tank_height=tank_height * ureg.m, -# tank_area=0.2 * ureg.m**2, # cross-sectional area of the tank [m^2] -# u_g0=corr.new_get_u_g0, # superficial gas velocity [m/s] -# T=600 * ureg.celsius, # temperature -# h_l=corr.get_h_malara, # mass transfer coefficient [m/s] -# P_0=1 * ureg.atm, # pressure [Pa] -# eps_g=0.01 * ureg.dimensionless, -# eps_l=0.99 * ureg.dimensionless, # liquid void fraction -# E_g=0.0 * ureg.kg / ureg.m**3 / ureg.s, -# source_T=source_from_tbr, -# extra_args={ -# "d_b": corr.get_d_b, -# "tbr": 0.1 * ureg("triton / neutron"), -# "n_gen_rate": 1e9 * ureg("neutron / s"), -# }, -# ) - -# inputs = get_simulation_input( -# geometry=ColumnGeometry(diameter=0.5 * ureg.m, height=tank_height * ureg.m), -# breeder=BreederMaterial(...), -# operating_params=OperatingParameters(...), -# ) - -# inputs.nb_nozzle = 20000 - -# inputs = SimulationInput( -# nozzle_diameter=0.01 * ureg.m, # diameter of the gas injection nozzle [m] -# nb_nozzle=12, -# tank_height=tank_height * ureg.m, # height of the liquid in the tank [m] -# tank_area=1.0 * ureg.m**2, # cross-sectional area of the tank [m^2] -# u_g0=0.1, # superficial gas velocity [m/s] -# T=300 * ureg.K, # temperature [K] -# h_l=corr.get_h_malara, # mass transfer coefficient [m/s] (can be a number or a correlation function) -# K_S=2, -# P_0=1 * ureg.atm, # pressure [Pa] -# eps_g=0.01, # gas void fraction (can be a number or a correlation function) -# eps_l=0.99, # liquid void fraction (can be a number or a correlation function -# E_g=0.0, # gas phase source term [kg/m^3/s] (can be a number or a correlation function -# D_l=3, # diffusivity of tritium in liquid FLiBe [m^2/s] -# source_T=30 -# * ureg.molT -# / ureg.m**3 -# / ureg.s, # tritium source term [kg/m^3/s] (can be a number or a correlation function) -# ) - # inputs.to_yaml(f"input_{tank_height}m.yml") # inputs.to_json(f"input_{tank_height}m.json") @@ -119,13 +74,12 @@ def source_from_tbr(tbr, n_gen_rate, tank_volume): # from sparging import plotting # plotting.plot_animation(output) -print(my_input) +logger.info(my_input) output = solve( my_input, t_final=3 * ureg.days, t_irr=[0, 12] * ureg.h, t_sparging=[0, 1e9] * ureg.h, ) -from sparging import animation animation.create_animation(output, show_activity=True) diff --git a/src/sparging/__init__.py b/src/sparging/__init__.py index f30e7ca..fd03b56 100644 --- a/src/sparging/__init__.py +++ b/src/sparging/__init__.py @@ -2,12 +2,10 @@ libra_sparging: A finite element model for sparging processes using FEniCSx/DOLFINX. """ -from .config import ureg, const_R, const_g, VERBOSE +from .config import ureg, const_R, const_g from .model import SimulationResults from .animation import ConcentrationAnimator -from .helpers import * from .correlations import all_correlations, CorrelationGroup, Correlation -from .inputs import * __all__ = [ "SimulationInput", @@ -16,5 +14,4 @@ "ureg", "const_R", "const_g", - "VERBOSE", ] diff --git a/src/sparging/config.py b/src/sparging/config.py index c67e2a3..1ec8f5c 100644 --- a/src/sparging/config.py +++ b/src/sparging/config.py @@ -1,8 +1,6 @@ from pint import UnitRegistry import scipy.constants as const -VERBOSE = False - ureg = UnitRegistry( autoconvert_offset_to_baseunit=True ) # to deal with offset units (eg: degree celsius) diff --git a/src/sparging/correlations.py b/src/sparging/correlations.py index ad761e6..07128da 100644 --- a/src/sparging/correlations.py +++ b/src/sparging/correlations.py @@ -1,5 +1,5 @@ from __future__ import annotations -from sparging.config import ureg, const_R, const_g, VERBOSE +from sparging.config import ureg, const_R, const_g from typing import TYPE_CHECKING if TYPE_CHECKING: diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index bc7a85e..fa613c9 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -1,11 +1,12 @@ from dataclasses import dataclass -from sparging.correlations import Correlation +from sparging.correlations import Correlation, all_correlations import pint from typing import List import inspect import numpy as np -from .config import VERBOSE -from .correlations import all_correlations +import logging + +logger = logging.getLogger(__name__) @dataclass @@ -114,7 +115,7 @@ def from_parameters( return cls(**{arg: resolved_parameters[arg] for arg in required_keys}) def __str__(self): - return "\n".join( + return "\n\t".join( [ f"{name}: {value}" for name in self.__dataclass_fields__ @@ -138,8 +139,7 @@ def find_in_graph( """ # first check if the required node is already discovered if required_node in discovered_nodes: - if VERBOSE: - print(f"Found required node '{required_node}' in discovered nodes...") + logger.info(f"Found required node '{required_node}' in discovered nodes...") return discovered_nodes # then check if the required node is given as input (either as a pint.Quantity or as a Correlation) @@ -147,10 +147,9 @@ def find_in_graph( # look for default correlation if required_node in all_correlations: result = all_correlations(required_node) - if VERBOSE: - print( - f"Found default correlation for required node '{required_node}': {result.identifier}" - ) + logger.info( + f"Found default correlation for required node '{required_node}': {result.identifier}" + ) else: raise ValueError( f"Could not find path to required node '{required_node}' in the graph or in the default correlations" @@ -177,16 +176,14 @@ def check_input( if (result := getattr(object, required_node, None)) is not None: if isinstance(result, pint.Quantity): # required node was found - if VERBOSE: - print( - f"Found Quantity for required node '{required_node}' in graph: {result}" - ) + logger.info( + f"Found Quantity for required node '{required_node}' in graph: {result}" + ) break elif isinstance(result, Correlation): - if VERBOSE: - print( - f"Found correlation for required node '{required_node}' in graph: {result.identifier}" - ) + logger.info( + f"Found correlation for required node '{required_node}' in graph: {result.identifier}" + ) break else: raise ValueError( @@ -200,8 +197,9 @@ def resolve_correlation( ) -> dict: corr_args = inspect.signature(corr.function).parameters.keys() for arg in corr_args: - if VERBOSE: - print(f"Resolving argument '{arg}' for correlation '{corr.identifier}'...") + logger.info( + f"Resolving argument '{arg}' for correlation '{corr.identifier}'..." + ) resolved_quantities = find_in_graph(arg, resolved_quantities, graph) assert all(arg in resolved_quantities for arg in corr_args), ( diff --git a/src/sparging/model.py b/src/sparging/model.py index 00ca27c..893a100 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -19,7 +19,7 @@ import inspect import sparging.correlations as c -from sparging.config import ureg, const_R, const_g, VERBOSE +from sparging.config import ureg, const_R, const_g from sparging.inputs import SimulationInput From 71fe9ed816c6087af9996486ab06cc212477dbe6 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 7 Apr 2026 12:40:38 -0400 Subject: [PATCH 057/121] test for graph search algo (uses inputs.find_in_graph(), input.check_input() and inputs.resolve_correlation()) --- example2.py | 35 ++++++----------- test/test_simulation_input.py | 74 +++++++++++++++++++++++++++++++++++ 2 files changed, 87 insertions(+), 22 deletions(-) diff --git a/example2.py b/example2.py index dcf6256..0536011 100644 --- a/example2.py +++ b/example2.py @@ -12,11 +12,7 @@ import logging logger = logging.getLogger(__name__) -logging.basicConfig(level=logging.INFO) - - -# def source_from_tbr(tbr, n_gen_rate, tank_volume): -# return tbr * n_gen_rate / tank_volume +logging.basicConfig(level=logging.WARNING) geom = ColumnGeometry( @@ -45,11 +41,6 @@ ) -# from sparging.inputs import find_in_graph - -# dict = find_in_graph("drho", {}, [geom, flibe, operating_params, sparging_params]) - -# breakpoint() # class method from_parameters that takes in objects like ColumnGeometry, BreederMaterial, OperatingParameters and returns a SimulationInput object with the appropriate correlations for the given parameters. This method should be able to handle cases where some of the parameters are already provided as correlations and should not overwrite them. my_input = SimulationInput.from_parameters( geom, flibe, operating_params, sparging_params @@ -57,22 +48,22 @@ assert isinstance(my_input, SimulationInput) -# inputs.to_yaml(f"input_{tank_height}m.yml") -# inputs.to_json(f"input_{tank_height}m.json") +# # inputs.to_yaml(f"input_{tank_height}m.yml") +# # inputs.to_json(f"input_{tank_height}m.json") -# unpacked_inputs = inputs.resolve() +# # unpacked_inputs = inputs.resolve() -# inputs = SimulationInput.from_yaml(f"input_{tank_height}m.yml") -# inputs.T = 500 -# inputs.to_yaml(f"input_{tank_height}m_modified.yml") -# output = solve(unpacked_inputs) +# # inputs = SimulationInput.from_yaml(f"input_{tank_height}m.yml") +# # inputs.T = 500 +# # inputs.to_yaml(f"input_{tank_height}m_modified.yml") +# # output = solve(unpacked_inputs) -# save output to file -# output.profiles_to_csv(f"output_{tank_height}m.csv") +# # save output to file +# # output.profiles_to_csv(f"output_{tank_height}m.csv") -# plot results -# from sparging import plotting -# plotting.plot_animation(output) +# # plot results +# # from sparging import plotting +# # plotting.plot_animation(output) logger.info(my_input) output = solve( diff --git a/test/test_simulation_input.py b/test/test_simulation_input.py index bb9be7e..a32b8e3 100644 --- a/test/test_simulation_input.py +++ b/test/test_simulation_input.py @@ -1,4 +1,38 @@ import sparging +from sparging.config import ureg +from sparging import all_correlations +from sparging.inputs import ( + ColumnGeometry, + BreederMaterial, + OperatingParameters, + SpargingParameters, +) + +# define standard LIBRA input parameters to be used in multiple tests +geom = ColumnGeometry( + area=0.2 * ureg.m**2, + height=1.0 * ureg.m, + nozzle_diameter=0.001 * ureg.m, + nb_nozzle=10 * ureg.dimensionless, +) + +flibe = BreederMaterial( + name="FLiBe", +) + +operating_params = OperatingParameters( + temperature=600 * ureg.celsius, + P_top=1 * ureg.atm, + flow_g_mol=400 * ureg.sccm, + irradiation_signal=1, # ignored for now + t_sparging=60 * ureg.s, # TODO implement + tbr=0.1 * ureg("triton / neutron"), + n_gen_rate=1e9 * ureg("neutron / s"), +) + +sparging_params = SpargingParameters( + h_l=all_correlations("h_l_briggs"), +) def test_get(): @@ -25,3 +59,43 @@ def test_get_from_file(): # BUILD params = sparging.helpers.get_input("test/test_input.yml") sparging.model.SimulationInput(params) + + +def test_find_in_graph(): + from sparging.inputs import find_in_graph + import difflib + import logging + from pathlib import Path + + reference_log_path = Path(__file__).with_name("test_find_in_graph.reference.log") + generated_log_path = Path(__file__).with_name("test_find_in_graph.generated.log") + logging.basicConfig( + level=logging.INFO, + format="%(levelname)s:%(name)s:%(message)s", + handlers=[logging.FileHandler(generated_log_path, mode="w")], + force=True, # reset handlers so pytest/previous tests don't interfere + ) + + find_in_graph("drho", {}, [geom, flibe, operating_params, sparging_params]) + + logging.shutdown() + + assert reference_log_path.exists(), ( + f"Reference log not found at {reference_log_path}. " + f"Create/update it from {generated_log_path} once output is validated." + ) + + generated_text = generated_log_path.read_text(encoding="utf-8") + reference_text = reference_log_path.read_text(encoding="utf-8") + + if generated_text != reference_text: + diff = "\n".join( + difflib.unified_diff( + reference_text.splitlines(), + generated_text.splitlines(), + fromfile=str(reference_log_path.name), + tofile=str(generated_log_path.name), + lineterm="", + ) + ) + raise AssertionError(f"Log output mismatch:\n{diff}") From 9892f83c097bb0716fe773d7a1513929808316f2 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 7 Apr 2026 12:44:57 -0400 Subject: [PATCH 058/121] added .log files used in tests, commented broken tests --- .gitignore | 1 - test/test_find_in_graph.generated.log | 17 ++++++++++ test/test_find_in_graph.reference.log | 17 ++++++++++ test/test_simulation_input.py | 22 ++++++------ test/test_solve.py | 48 +++++++++++++-------------- 5 files changed, 69 insertions(+), 36 deletions(-) create mode 100644 test/test_find_in_graph.generated.log create mode 100644 test/test_find_in_graph.reference.log diff --git a/.gitignore b/.gitignore index 60cb967..a2110fa 100644 --- a/.gitignore +++ b/.gitignore @@ -56,7 +56,6 @@ cover/ *.pot # Django stuff: -*.log local_settings.py db.sqlite3 db.sqlite3-journal diff --git a/test/test_find_in_graph.generated.log b/test/test_find_in_graph.generated.log new file mode 100644 index 0000000..cf43ccb --- /dev/null +++ b/test/test_find_in_graph.generated.log @@ -0,0 +1,17 @@ +INFO:sparging.inputs:Found default correlation for required node 'drho': drho +INFO:sparging.inputs:Resolving argument 'rho_l' for correlation 'drho'... +INFO:sparging.inputs:Found default correlation for required node 'rho_l': rho_l +INFO:sparging.inputs:Resolving argument 'temperature' for correlation 'rho_l'... +INFO:sparging.inputs:Found Quantity for required node 'temperature' in graph: 6.000e+02 °C +INFO:sparging.inputs:Resolving argument 'rho_g' for correlation 'drho'... +INFO:sparging.inputs:Found default correlation for required node 'rho_g': rho_g +INFO:sparging.inputs:Resolving argument 'temperature' for correlation 'rho_g'... +INFO:sparging.inputs:Found required node 'temperature' in discovered nodes... +INFO:sparging.inputs:Resolving argument 'P_bottom' for correlation 'rho_g'... +INFO:sparging.inputs:Found default correlation for required node 'P_bottom': P_bottom +INFO:sparging.inputs:Resolving argument 'P_top' for correlation 'P_bottom'... +INFO:sparging.inputs:Found Quantity for required node 'P_top' in graph: 1.000e+00 atm +INFO:sparging.inputs:Resolving argument 'rho_l' for correlation 'P_bottom'... +INFO:sparging.inputs:Found required node 'rho_l' in discovered nodes... +INFO:sparging.inputs:Resolving argument 'height' for correlation 'P_bottom'... +INFO:sparging.inputs:Found Quantity for required node 'height' in graph: 1.000e+00 m diff --git a/test/test_find_in_graph.reference.log b/test/test_find_in_graph.reference.log new file mode 100644 index 0000000..cf43ccb --- /dev/null +++ b/test/test_find_in_graph.reference.log @@ -0,0 +1,17 @@ +INFO:sparging.inputs:Found default correlation for required node 'drho': drho +INFO:sparging.inputs:Resolving argument 'rho_l' for correlation 'drho'... +INFO:sparging.inputs:Found default correlation for required node 'rho_l': rho_l +INFO:sparging.inputs:Resolving argument 'temperature' for correlation 'rho_l'... +INFO:sparging.inputs:Found Quantity for required node 'temperature' in graph: 6.000e+02 °C +INFO:sparging.inputs:Resolving argument 'rho_g' for correlation 'drho'... +INFO:sparging.inputs:Found default correlation for required node 'rho_g': rho_g +INFO:sparging.inputs:Resolving argument 'temperature' for correlation 'rho_g'... +INFO:sparging.inputs:Found required node 'temperature' in discovered nodes... +INFO:sparging.inputs:Resolving argument 'P_bottom' for correlation 'rho_g'... +INFO:sparging.inputs:Found default correlation for required node 'P_bottom': P_bottom +INFO:sparging.inputs:Resolving argument 'P_top' for correlation 'P_bottom'... +INFO:sparging.inputs:Found Quantity for required node 'P_top' in graph: 1.000e+00 atm +INFO:sparging.inputs:Resolving argument 'rho_l' for correlation 'P_bottom'... +INFO:sparging.inputs:Found required node 'rho_l' in discovered nodes... +INFO:sparging.inputs:Resolving argument 'height' for correlation 'P_bottom'... +INFO:sparging.inputs:Found Quantity for required node 'height' in graph: 1.000e+00 m diff --git a/test/test_simulation_input.py b/test/test_simulation_input.py index a32b8e3..3d9c9f6 100644 --- a/test/test_simulation_input.py +++ b/test/test_simulation_input.py @@ -35,14 +35,14 @@ ) -def test_get(): - # BUILD - input_dict = {"h_l": "from h_l_malara"} - # RUN - quantity = sparging.model.get_quantity_or_correlation(input_dict, "h_l") +# def test_get(): +# # BUILD +# input_dict = {"h_l": "from h_l_malara"} +# # RUN +# quantity = sparging.model.get_quantity_or_correlation(input_dict, "h_l") - # TEST - assert callable(quantity), f"Expected a correlation function, got {quantity}" +# # TEST +# assert callable(quantity), f"Expected a correlation function, got {quantity}" # def test_get_source_T(): @@ -55,10 +55,10 @@ def test_get(): # assert callable(quantity), "Expected a correlation function" -def test_get_from_file(): - # BUILD - params = sparging.helpers.get_input("test/test_input.yml") - sparging.model.SimulationInput(params) +# def test_get_from_file(): +# # BUILD +# params = sparging.helpers.get_input("test/test_input.yml") +# sparging.model.SimulationInput(params) def test_find_in_graph(): diff --git a/test/test_solve.py b/test/test_solve.py index 6b66d3d..ebddc01 100644 --- a/test/test_solve.py +++ b/test/test_solve.py @@ -3,32 +3,32 @@ import pytest -def test_model_solve(): - """ - Tests that `model.solve` runs without errors for a simple test case. Does not check results. - """ - params = get_input("test/test_input.yml") - sim_input = model.SimulationInput(params) +# def test_model_solve(): +# """ +# Tests that `model.solve` runs without errors for a simple test case. Does not check results. +# """ +# params = get_input("test/test_input.yml") +# sim_input = model.SimulationInput(params) - # TODO integrate to input file - t_sparging_hr = [24, 1e20] # time interval when sparger is ON - t_irr_hr = [0, 96] # time interval when irradiation is ON - t_final = 1 * model.days_to_seconds +# # TODO integrate to input file +# t_sparging_hr = [24, 1e20] # time interval when sparger is ON +# t_irr_hr = [0, 96] # time interval when irradiation is ON +# t_final = 1 * model.days_to_seconds - model.solve( - sim_input, - t_final=t_final, - t_irr=[t * model.hours_to_seconds for t in t_irr_hr], - t_sparging=[t * model.hours_to_seconds for t in t_sparging_hr], - ) +# model.solve( +# sim_input, +# t_final=t_final, +# t_irr=[t * model.hours_to_seconds for t in t_irr_hr], +# t_sparging=[t * model.hours_to_seconds for t in t_sparging_hr], +# ) -def test_model_solve_incomplete_input(): - """ - Tests SimulationInput raises error when required input is missing. - """ - params = get_input("test/test_input.yml") - params.pop("tank_diameter") # remove bubble velocity to test default value +# def test_model_solve_incomplete_input(): +# """ +# Tests SimulationInput raises error when required input is missing. +# """ +# params = get_input("test/test_input.yml") +# params.pop("tank_diameter") # remove bubble velocity to test default value - with pytest.raises(KeyError, match="Missing a required input"): - model.SimulationInput(params) +# with pytest.raises(KeyError, match="Missing a required input"): +# model.SimulationInput(params) From 4224d50c0f6a8a40a83fee4b47ff00f38254cef5 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 7 Apr 2026 13:34:09 -0400 Subject: [PATCH 059/121] tmp_path + remove log from vc --- test/test_find_in_graph.generated.log | 17 --------------- test/test_simulation_input.py | 31 +++------------------------ 2 files changed, 3 insertions(+), 45 deletions(-) delete mode 100644 test/test_find_in_graph.generated.log diff --git a/test/test_find_in_graph.generated.log b/test/test_find_in_graph.generated.log deleted file mode 100644 index cf43ccb..0000000 --- a/test/test_find_in_graph.generated.log +++ /dev/null @@ -1,17 +0,0 @@ -INFO:sparging.inputs:Found default correlation for required node 'drho': drho -INFO:sparging.inputs:Resolving argument 'rho_l' for correlation 'drho'... -INFO:sparging.inputs:Found default correlation for required node 'rho_l': rho_l -INFO:sparging.inputs:Resolving argument 'temperature' for correlation 'rho_l'... -INFO:sparging.inputs:Found Quantity for required node 'temperature' in graph: 6.000e+02 °C -INFO:sparging.inputs:Resolving argument 'rho_g' for correlation 'drho'... -INFO:sparging.inputs:Found default correlation for required node 'rho_g': rho_g -INFO:sparging.inputs:Resolving argument 'temperature' for correlation 'rho_g'... -INFO:sparging.inputs:Found required node 'temperature' in discovered nodes... -INFO:sparging.inputs:Resolving argument 'P_bottom' for correlation 'rho_g'... -INFO:sparging.inputs:Found default correlation for required node 'P_bottom': P_bottom -INFO:sparging.inputs:Resolving argument 'P_top' for correlation 'P_bottom'... -INFO:sparging.inputs:Found Quantity for required node 'P_top' in graph: 1.000e+00 atm -INFO:sparging.inputs:Resolving argument 'rho_l' for correlation 'P_bottom'... -INFO:sparging.inputs:Found required node 'rho_l' in discovered nodes... -INFO:sparging.inputs:Resolving argument 'height' for correlation 'P_bottom'... -INFO:sparging.inputs:Found Quantity for required node 'height' in graph: 1.000e+00 m diff --git a/test/test_simulation_input.py b/test/test_simulation_input.py index 3d9c9f6..84c7562 100644 --- a/test/test_simulation_input.py +++ b/test/test_simulation_input.py @@ -35,40 +35,15 @@ ) -# def test_get(): -# # BUILD -# input_dict = {"h_l": "from h_l_malara"} -# # RUN -# quantity = sparging.model.get_quantity_or_correlation(input_dict, "h_l") - -# # TEST -# assert callable(quantity), f"Expected a correlation function, got {quantity}" - - -# def test_get_source_T(): -# # BUILD -# params = sparging.helpers.get_input("test/test_input.yml") -# # RUN -# quantity = sparging.model.get_quantity_or_correlation(params, "source_T") - -# # TEST -# assert callable(quantity), "Expected a correlation function" - - -# def test_get_from_file(): -# # BUILD -# params = sparging.helpers.get_input("test/test_input.yml") -# sparging.model.SimulationInput(params) - - -def test_find_in_graph(): +def test_find_in_graph(tmp_path): from sparging.inputs import find_in_graph import difflib import logging from pathlib import Path reference_log_path = Path(__file__).with_name("test_find_in_graph.reference.log") - generated_log_path = Path(__file__).with_name("test_find_in_graph.generated.log") + generated_log_path = Path(tmp_path).joinpath("test_find_in_graph.generated.log") + logging.basicConfig( level=logging.INFO, format="%(levelname)s:%(name)s:%(message)s", From 034f2f26acbac67596a27dcb1835c86c7a14d62d Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 7 Apr 2026 13:35:38 -0400 Subject: [PATCH 060/121] simplifiy test MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-authored-by: Rémi Delaporte-Mathurin <40028739+RemDelaporteMathurin@users.noreply.github.com> --- test/test_simulation_input.py | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/test/test_simulation_input.py b/test/test_simulation_input.py index 3d9c9f6..b1fa4ee 100644 --- a/test/test_simulation_input.py +++ b/test/test_simulation_input.py @@ -88,14 +88,14 @@ def test_find_in_graph(): generated_text = generated_log_path.read_text(encoding="utf-8") reference_text = reference_log_path.read_text(encoding="utf-8") - if generated_text != reference_text: - diff = "\n".join( - difflib.unified_diff( - reference_text.splitlines(), - generated_text.splitlines(), - fromfile=str(reference_log_path.name), - tofile=str(generated_log_path.name), - lineterm="", - ) - ) - raise AssertionError(f"Log output mismatch:\n{diff}") + + diff = "\n".join( + difflib.unified_diff( + reference_text.splitlines(), + generated_text.splitlines(), + fromfile=str(reference_log_path.name), + tofile=str(generated_log_path.name), + lineterm="", + ) + ) + assert generated_text == reference_text, f"Log output mismatch:\n{diff}" From 6a05d71d02b6ca2f56d6d941721071688551a443 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 7 Apr 2026 13:53:26 -0400 Subject: [PATCH 061/121] added test --- test/test_simulation_input.py | 62 +++++++++++++++++++++++++++++++++-- 1 file changed, 60 insertions(+), 2 deletions(-) diff --git a/test/test_simulation_input.py b/test/test_simulation_input.py index 84c7562..b1f6783 100644 --- a/test/test_simulation_input.py +++ b/test/test_simulation_input.py @@ -6,8 +6,11 @@ BreederMaterial, OperatingParameters, SpargingParameters, + find_in_graph, ) +import pytest + # define standard LIBRA input parameters to be used in multiple tests geom = ColumnGeometry( area=0.2 * ureg.m**2, @@ -35,8 +38,10 @@ ) -def test_find_in_graph(tmp_path): - from sparging.inputs import find_in_graph +def test_find_in_graph_logging(tmp_path): + """ + Test that the `find_in_graph` function logs the expected output when searching for a parameter in the graph. + """ import difflib import logging from pathlib import Path @@ -74,3 +79,56 @@ def test_find_in_graph(tmp_path): ) ) raise AssertionError(f"Log output mismatch:\n{diff}") + + +@pytest.mark.parametrize("in_discovered", (True, False)) +def test_find_in_graph(in_discovered: bool): + """ + Test finding a node in the graph. + This test checks that the `find_in_graph` function can successfully find the `d_b` parameter + using the provided `ColumnGeometry` and `OperatingParameters`. It also tests both cases where + `flow_g_vol` is provided in the discovered nodes and where it is not, ensuring that the + function can handle both scenarios correctly. + """ + # BUILD + operating_params = OperatingParameters( + temperature=600 * ureg.celsius, + P_top=1 * ureg.atm, + flow_g_mol=400 * ureg.sccm if not in_discovered else None, + irradiation_signal=1, # ignored for now + t_sparging=60 * ureg.s, # TODO implement + ) + + geom = ColumnGeometry( + nb_nozzle=10 * ureg.dimensionless, + nozzle_diameter=2 * ureg.m, + area=2 * ureg.m**2, + height=3 * ureg.m, + ) + + discovered_nodes = {} + if in_discovered: + discovered_nodes["flow_g_vol"] = 0.01 * ureg.m**3 / ureg.s + + # RUN + find_in_graph( + "d_b", + discovered_nodes=discovered_nodes, + graph=[geom, operating_params], + ) + + # TEST + assert "d_b" in discovered_nodes, "Expected to find d_b in graph" + + correlation = sparging.all_correlations("d_b") + + flow_g_vol = discovered_nodes.get("flow_g_vol") + expected_value = correlation( + flow_g_vol=flow_g_vol, + nozzle_diameter=geom.nozzle_diameter, + nb_nozzle=geom.nb_nozzle, + ) + + assert discovered_nodes["d_b"] == expected_value, ( + f"Expected d_b to be {expected_value}, got {discovered_nodes['d_b']}" + ) From b70a25be549da6fa94ad682a11a57348a8fc8e8c Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 7 Apr 2026 13:57:25 -0400 Subject: [PATCH 062/121] added coverage --- .github/workflows/ci.yml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index f7ca711..0f89826 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -27,10 +27,10 @@ jobs: - name: Run tests shell: bash -l {0} run: | - python -m pytest test + python -m pytest test --cov src/sparging --cov-report xml - # - name: Upload to codecov - # uses: codecov/codecov-action@v4 - # with: - # token: ${{ secrets.CODECOV_TOKEN }} - # files: ./coverage.xml \ No newline at end of file + - name: Upload to codecov + uses: codecov/codecov-action@v4 + with: + token: ${{ secrets.CODECOV_TOKEN }} + files: ./coverage.xml \ No newline at end of file From 7580d32233969a6fdf8314d284b855775f55ae32 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 7 Apr 2026 15:07:20 -0400 Subject: [PATCH 063/121] added tests for inputs.check_input() and input.find_in_graph() --- example2.py | 3 +- src/sparging/inputs.py | 4 +- test/test_input.yml | 16 -------- test/test_simulation_input.py | 72 ++++++++++++++++++++++++++--------- 4 files changed, 58 insertions(+), 37 deletions(-) delete mode 100644 test/test_input.yml diff --git a/example2.py b/example2.py index 0536011..6fa5ecc 100644 --- a/example2.py +++ b/example2.py @@ -29,7 +29,8 @@ operating_params = OperatingParameters( temperature=600 * ureg.celsius, P_top=1 * ureg.atm, - flow_g_mol=400 * ureg.sccm, + flow_g_mol=400 + * ureg.sccm, # TODO infinite recursion when not providing both flow_g_mol and flow_g_vol because of circular correlations irradiation_signal=1, # ignored for now t_sparging=60 * ureg.s, # TODO implement tbr=0.1 * ureg("triton / neutron"), diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index fa613c9..92a7385 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -38,8 +38,8 @@ class BreederMaterial: @dataclass class OperatingParameters: temperature: pint.Quantity - irradiation_signal: pint.Quantity - t_sparging: pint.Quantity + # irradiation_signal: pint.Quantity # TODO implement + # t_sparging: pint.Quantity # TODO implement flow_g_vol: pint.Quantity | None = None flow_g_mol: pint.Quantity | None = None P_bottom: pint.Quantity | Correlation | None = None diff --git a/test/test_input.yml b/test/test_input.yml deleted file mode 100644 index b2afa2e..0000000 --- a/test/test_input.yml +++ /dev/null @@ -1,16 +0,0 @@ -# LIBRA Pi input -tank_height: 1 m -tank_diameter: 0.5 m # m, tank diameter -nozzle_diameter: 0.001 m # m -nb_nozzle: 10 # number of nozzles at bottom of the tank -n_gen_rate: 1.0e+09 neutron/s # neutron generation rate -tbr: 0.1 triton / neutron # tritium breeding ratio -P_top: 1 bar # Pa, gas pressure at the top of the tank -T: 600 celsius # temperature [K] = 600°C temperature -flow_g: 400 sccm -# h_l: from h_l_malara - -dt: 0.2 hours -time_end : 6 days -signal_sparging : step('24 hours') -signal_irradiation: step('0 hours') - step('96 hours') \ No newline at end of file diff --git a/test/test_simulation_input.py b/test/test_simulation_input.py index e67bede..d773f55 100644 --- a/test/test_simulation_input.py +++ b/test/test_simulation_input.py @@ -7,9 +7,11 @@ OperatingParameters, SpargingParameters, find_in_graph, + check_input, ) import pytest +from dataclasses import replace # define standard LIBRA input parameters to be used in multiple tests geom = ColumnGeometry( @@ -27,8 +29,6 @@ temperature=600 * ureg.celsius, P_top=1 * ureg.atm, flow_g_mol=400 * ureg.sccm, - irradiation_signal=1, # ignored for now - t_sparging=60 * ureg.s, # TODO implement tbr=0.1 * ureg("triton / neutron"), n_gen_rate=1e9 * ureg("neutron / s"), ) @@ -81,7 +81,7 @@ def test_find_in_graph_logging(tmp_path): @pytest.mark.parametrize("in_discovered", (True, False)) -def test_find_in_graph(in_discovered: bool): +def test_find_in_graph_result(in_discovered: bool): """ Test finding a node in the graph. This test checks that the `find_in_graph` function can successfully find the `d_b` parameter @@ -90,21 +90,6 @@ def test_find_in_graph(in_discovered: bool): function can handle both scenarios correctly. """ # BUILD - operating_params = OperatingParameters( - temperature=600 * ureg.celsius, - P_top=1 * ureg.atm, - flow_g_mol=400 * ureg.sccm if not in_discovered else None, - irradiation_signal=1, # ignored for now - t_sparging=60 * ureg.s, # TODO implement - ) - - geom = ColumnGeometry( - nb_nozzle=10 * ureg.dimensionless, - nozzle_diameter=2 * ureg.m, - area=2 * ureg.m**2, - height=3 * ureg.m, - ) - discovered_nodes = {} if in_discovered: discovered_nodes["flow_g_vol"] = 0.01 * ureg.m**3 / ureg.s @@ -131,3 +116,54 @@ def test_find_in_graph(in_discovered: bool): assert discovered_nodes["d_b"] == expected_value, ( f"Expected d_b to be {expected_value}, got {discovered_nodes['d_b']}" ) + + +def test_find_in_graph_unresolvable(): + """ + Test that find_in_graph raises an error when a parameter cannot be resolved. + """ + broken_geom = replace(geom, nb_nozzle=None) + + try: + find_in_graph( + "d_b", + discovered_nodes={}, # no discovered nodes provided + graph=[ + broken_geom, + operating_params, + ], # missing necessary parameters for d_b correlation + ) + except ValueError as e: + assert ( + str(e) + == "Could not find path to required node 'nb_nozzle' in the graph or in the default correlations" + ), f"Unexpected error message: {e}" + + +@pytest.mark.parametrize("required_node", ("flow_g_mol", "non_existent_param")) +def test_check_input_none(required_node: str): + """ + Test that check_input returns None when the required node is not found in the graph. + """ + op_params = OperatingParameters( + temperature=600 * ureg.celsius, + ) + result = check_input(required_node, [geom, op_params]) + assert result is None, f"Expected None for non-existent parameter, got {result}" + + +def test_check_input_unexpected_type(): + """ + Test that check_input raises an error when it finds a parameter in the graph but it is not a pint.Quantity or Correlation. + """ + op_params = replace(operating_params, tbr=13) + result = -1 + try: + result = check_input("tbr", [geom, op_params]) + except ValueError as e: + assert ( + str(e) + == "In check_input: found result for 'tbr': but expected a Correlation or a pint.Quantity, got 13 of type " + ), f"Unexpected error message: {e}" + else: + assert False, f"Expected ValueError, got {result}" From 3ef61e252f917d479b98b885927618eff8e754a7 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 7 Apr 2026 15:17:17 -0400 Subject: [PATCH 064/121] returns in graph search algo are less condusing --- example2.py | 2 -- src/sparging/inputs.py | 18 +++++++----------- 2 files changed, 7 insertions(+), 13 deletions(-) diff --git a/example2.py b/example2.py index 6fa5ecc..de15b81 100644 --- a/example2.py +++ b/example2.py @@ -31,8 +31,6 @@ P_top=1 * ureg.atm, flow_g_mol=400 * ureg.sccm, # TODO infinite recursion when not providing both flow_g_mol and flow_g_vol because of circular correlations - irradiation_signal=1, # ignored for now - t_sparging=60 * ureg.s, # TODO implement tbr=0.1 * ureg("triton / neutron"), n_gen_rate=1e9 * ureg("neutron / s"), ) diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index 92a7385..2ee9808 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -130,7 +130,7 @@ def find_in_graph( graph: List[ SpargingParameters | OperatingParameters | BreederMaterial | ColumnGeometry ], -) -> dict: +) -> None: """Abstracts SimulationInput construction as a graph search problem. "Correlation" object are seen as a path to the corresponding node - required_node: parameter we want to obtain (e.g. h_l) - discovered_nodes: already discovered parameters as pint.Quantity @@ -140,11 +140,11 @@ def find_in_graph( # first check if the required node is already discovered if required_node in discovered_nodes: logger.info(f"Found required node '{required_node}' in discovered nodes...") - return discovered_nodes + return # then check if the required node is given as input (either as a pint.Quantity or as a Correlation) if (result := check_input(required_node, graph)) is None: - # look for default correlation + # if it's not, look for default correlation if required_node in all_correlations: result = all_correlations(required_node) logger.info( @@ -155,7 +155,7 @@ def find_in_graph( f"Could not find path to required node '{required_node}' in the graph or in the default correlations" ) if isinstance(result, Correlation): - result, discovered_nodes = resolve_correlation( + result = resolve_correlation( corr=result, resolved_quantities=discovered_nodes, graph=graph ) # also update discovered_nodes with the nodes possibly discovered during recursive search @@ -163,7 +163,6 @@ def find_in_graph( f"Result for required node '{required_node}' is not a pint.Quantity after resolution, got {result} of type {type(result)}" ) discovered_nodes.update({required_node: result}) - return discovered_nodes def check_input( @@ -194,20 +193,17 @@ def check_input( def resolve_correlation( corr: Correlation, resolved_quantities: dict, graph: list[object] -) -> dict: +) -> pint.Quantity: corr_args = inspect.signature(corr.function).parameters.keys() for arg in corr_args: logger.info( f"Resolving argument '{arg}' for correlation '{corr.identifier}'..." ) - resolved_quantities = find_in_graph(arg, resolved_quantities, graph) + find_in_graph(arg, resolved_quantities, graph) assert all(arg in resolved_quantities for arg in corr_args), ( f"Could not resolve all arguments for correlation '{corr.identifier}'. " f"Missing arguments: {[arg for arg in corr_args if arg not in resolved_quantities]}" ) - return ( - corr(**{arg: resolved_quantities[arg] for arg in corr_args}), - resolved_quantities, - ) + return corr(**{arg: resolved_quantities[arg] for arg in corr_args}) From 48e11d54025c52aab8c2b88c85e72b08947716a9 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 7 Apr 2026 15:38:29 -0400 Subject: [PATCH 065/121] made flow_g_mol and P_top mandatory quantities and fixed tests --- src/sparging/inputs.py | 4 ++-- test/test_simulation_input.py | 23 ++++++++++++++++------- 2 files changed, 18 insertions(+), 9 deletions(-) diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index 2ee9808..a89a4b5 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -38,12 +38,12 @@ class BreederMaterial: @dataclass class OperatingParameters: temperature: pint.Quantity + flow_g_mol: pint.Quantity + P_top: pint.Quantity # irradiation_signal: pint.Quantity # TODO implement # t_sparging: pint.Quantity # TODO implement flow_g_vol: pint.Quantity | None = None - flow_g_mol: pint.Quantity | None = None P_bottom: pint.Quantity | Correlation | None = None - P_top: pint.Quantity | None = None tbr: pint.Quantity | None = None n_gen_rate: pint.Quantity | None = None source_T: pint.Quantity | Correlation | None = None diff --git a/test/test_simulation_input.py b/test/test_simulation_input.py index d773f55..7d46dab 100644 --- a/test/test_simulation_input.py +++ b/test/test_simulation_input.py @@ -42,6 +42,7 @@ def test_find_in_graph_logging(tmp_path): """ Test that the `find_in_graph` function logs the expected output when searching for a parameter in the graph. """ + # BUILD import difflib import logging from pathlib import Path @@ -56,8 +57,10 @@ def test_find_in_graph_logging(tmp_path): force=True, # reset handlers so pytest/previous tests don't interfere ) + # RUN find_in_graph("drho", {}, [geom, flibe, operating_params, sparging_params]) + # TEST logging.shutdown() assert reference_log_path.exists(), ( @@ -122,8 +125,9 @@ def test_find_in_graph_unresolvable(): """ Test that find_in_graph raises an error when a parameter cannot be resolved. """ + # BUILD broken_geom = replace(geom, nb_nozzle=None) - + # RUN try: find_in_graph( "d_b", @@ -133,6 +137,7 @@ def test_find_in_graph_unresolvable(): operating_params, ], # missing necessary parameters for d_b correlation ) + # TEST except ValueError as e: assert ( str(e) @@ -145,10 +150,11 @@ def test_check_input_none(required_node: str): """ Test that check_input returns None when the required node is not found in the graph. """ - op_params = OperatingParameters( - temperature=600 * ureg.celsius, - ) - result = check_input(required_node, [geom, op_params]) + # BUILD + broken_op_params = replace(operating_params, flow_g_mol=None) + # RUN + result = check_input(required_node, [geom, broken_op_params]) + # TEST assert result is None, f"Expected None for non-existent parameter, got {result}" @@ -156,10 +162,13 @@ def test_check_input_unexpected_type(): """ Test that check_input raises an error when it finds a parameter in the graph but it is not a pint.Quantity or Correlation. """ - op_params = replace(operating_params, tbr=13) + # BUILD + broken_op_params = replace(operating_params, tbr=13) + # RUN result = -1 try: - result = check_input("tbr", [geom, op_params]) + result = check_input("tbr", [geom, broken_op_params]) + # TEST except ValueError as e: assert ( str(e) From 60543ab311b3dc5074d37b512aec55405e2f0525 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 7 Apr 2026 16:09:12 -0400 Subject: [PATCH 066/121] fixed circular dependency of flow_g_mol and flow_g_vol + adapted tests --- src/sparging/correlations.py | 12 ---------- src/sparging/inputs.py | 2 -- test/test_simulation_input.py | 43 ++++++++++++++++++----------------- 3 files changed, 22 insertions(+), 35 deletions(-) diff --git a/src/sparging/correlations.py b/src/sparging/correlations.py index 07128da..45de2fb 100644 --- a/src/sparging/correlations.py +++ b/src/sparging/correlations.py @@ -354,18 +354,6 @@ def __contains__(self, key: str | Correlation): ) all_correlations.append(P_bottom) -flow_g_mol = Correlation( - identifier="flow_g_mol", - function=lambda flow_g_vol, temperature, P_bottom: ( - flow_g_vol / (const_R * temperature) * P_bottom - ), # convert volumetric flow rate to molar flow rate using ideal gas law - corr_type=CorrelationType.FLOW_RATE, - description="molar flow rate of gas phase calculated from volumetric flow rate using ideal gas law", - input_units=["m**3/s", "kelvin", "Pa"], - output_units="mol/s", -) -all_correlations.append(flow_g_mol) - flow_g_vol = Correlation( identifier="flow_g_vol", function=lambda flow_g_mol, temperature, P_bottom: ( diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index a89a4b5..a22168d 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -79,8 +79,6 @@ class SimulationInput: def volume(self): return self.area * self.height - # TODO __str__ method - def __post_init__(self): # make sure there are only pint.Quantity or callables in the input, otherwise raise an error for key in self.__dataclass_fields__.keys(): diff --git a/test/test_simulation_input.py b/test/test_simulation_input.py index 7d46dab..45f1ed8 100644 --- a/test/test_simulation_input.py +++ b/test/test_simulation_input.py @@ -11,7 +11,7 @@ ) import pytest -from dataclasses import replace +import dataclasses # define standard LIBRA input parameters to be used in multiple tests geom = ColumnGeometry( @@ -121,28 +121,33 @@ def test_find_in_graph_result(in_discovered: bool): ) -def test_find_in_graph_unresolvable(): +@pytest.mark.parametrize("missing_param", ("nb_nozzle", "flow_g_mol")) +def test_find_in_graph_unresolvable(missing_param: str): """ Test that find_in_graph raises an error when a parameter cannot be resolved. """ # BUILD - broken_geom = replace(geom, nb_nozzle=None) + broken_geom = dataclasses.replace(geom) + broken_op_params = dataclasses.replace(operating_params) + match missing_param: + case "nb_nozzle": + setattr(broken_geom, missing_param, None) + case "flow_g_mol": + pass + setattr(broken_op_params, missing_param, None) # RUN - try: + with pytest.raises( + ValueError, + match=f"Could not find path to required node '{missing_param}' in the graph or in the default correlations", + ): find_in_graph( "d_b", discovered_nodes={}, # no discovered nodes provided graph=[ broken_geom, - operating_params, + broken_op_params, ], # missing necessary parameters for d_b correlation ) - # TEST - except ValueError as e: - assert ( - str(e) - == "Could not find path to required node 'nb_nozzle' in the graph or in the default correlations" - ), f"Unexpected error message: {e}" @pytest.mark.parametrize("required_node", ("flow_g_mol", "non_existent_param")) @@ -151,7 +156,7 @@ def test_check_input_none(required_node: str): Test that check_input returns None when the required node is not found in the graph. """ # BUILD - broken_op_params = replace(operating_params, flow_g_mol=None) + broken_op_params = dataclasses.replace(operating_params, flow_g_mol=None) # RUN result = check_input(required_node, [geom, broken_op_params]) # TEST @@ -163,16 +168,12 @@ def test_check_input_unexpected_type(): Test that check_input raises an error when it finds a parameter in the graph but it is not a pint.Quantity or Correlation. """ # BUILD - broken_op_params = replace(operating_params, tbr=13) + broken_op_params = dataclasses.replace(operating_params, tbr=13) # RUN result = -1 - try: + with pytest.raises( + ValueError, + match="In check_input: found result for 'tbr': but expected a Correlation or a pint.Quantity, got 13 of type ", + ): result = check_input("tbr", [geom, broken_op_params]) - # TEST - except ValueError as e: - assert ( - str(e) - == "In check_input: found result for 'tbr': but expected a Correlation or a pint.Quantity, got 13 of type " - ), f"Unexpected error message: {e}" - else: assert False, f"Expected ValueError, got {result}" From 30111ea491af7fee8beffe2138e92d65f1b36e81 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 7 Apr 2026 16:23:43 -0400 Subject: [PATCH 067/121] removed unused code --- example2.py | 3 +- src/sparging/model.py | 199 +----------------------------------------- 2 files changed, 2 insertions(+), 200 deletions(-) diff --git a/example2.py b/example2.py index de15b81..80b7f21 100644 --- a/example2.py +++ b/example2.py @@ -29,8 +29,7 @@ operating_params = OperatingParameters( temperature=600 * ureg.celsius, P_top=1 * ureg.atm, - flow_g_mol=400 - * ureg.sccm, # TODO infinite recursion when not providing both flow_g_mol and flow_g_vol because of circular correlations + flow_g_mol=400 * ureg.sccm, tbr=0.1 * ureg("triton / neutron"), n_gen_rate=1e9 * ureg("neutron / s"), ) diff --git a/src/sparging/model.py b/src/sparging/model.py index 893a100..a32c141 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -8,18 +8,14 @@ from petsc4py import PETSc from dataclasses import dataclass -import warnings from datetime import datetime # from dolfinx import log import yaml import sparging.helpers as helpers import json -import pint -import inspect -import sparging.correlations as c -from sparging.config import ureg, const_R, const_g +from sparging.config import ureg from sparging.inputs import SimulationInput @@ -34,199 +30,6 @@ # log.set_log_level(log.LogLevel.INFO) -class SimulationInputBak: - P_0: pint.Quantity - eps_l: pint.Quantity - eps_g: pint.Quantity - E_g: pint.Quantity - D_l: pint.Quantity - h_l: pint.Quantity - K_s: pint.Quantity - tank_height: pint.Quantity - tank_diameter: pint.Quantity - nozzle_diameter: pint.Quantity - nb_nozzle: int - T: pint.Quantity - flow_g: pint.Quantity - d_b: pint.Quantity - Eo: pint.Quantity - Mo: pint.Quantity - Sc: pint.Quantity - Re: pint.Quantity - - def __init__(self, input_dict: dict): - self.input_dict = input_dict.copy() - self.quantities_dict = { - "inputed": {}, - "computed": {}, - } # to keep track of inputed and calculated quantities and the correlation used, for output purposes - # TODO useless, can use self.__dict__ - - # -- System parameters -- - self.tank_height = self._get("tank_height").to("metre") - self.tank_diameter = self._get("tank_diameter").to("metre") - self.tank_area = np.pi * (self.tank_diameter / 2) ** 2 - self.tank_volume = self.tank_area * self.tank_height - self.source_T = self._get("source_T").to( - "molT/s/m**3" - ) # tritium generation source term - self.nozzle_diameter = self._get("nozzle_diameter").to("millimetre") - self.nb_nozzle = self._get("nb_nozzle") - self.P_top = self._get("P_top").to("bar") - self.T = self._get("T").to("kelvin") # temperature - self.flow_g = self._get("flow_g").to("mol/s") # inlet gas flow rate [mol/s] - - # -- FLiBe and tritium physical properties -- - self.rho_l = self._get("rho_l").to("kg/m**3") - self.mu_l = self._get("mu_l").to("Pa*s") - self.sigma_l = self._get("sigma_l").to("N/m") - self.nu_l = self.mu_l / self.rho_l - self.D_l = self._get("D_l").to("m**2/s") - self.K_s = self._get("K_s").to("mol/m**3/Pa") - self.P_0 = (self.P_top + self.rho_l * const_g * self.tank_height).to("bar") - # gas inlet pressure [Pa] = hydrostatic pressure at the bottom of the tank (neglecting gas fraction) - self.flow_g_vol = (self.flow_g.to("mol/s") * const_R * self.T / self.P_0).to( - "m**3/s" - ) # inlet gas volumetric flow rate - - # -- bubbles properties -- - self.d_b = self._get("d_b").to("millimetre") # bubble diameter - he_molar_mass = ureg("4.003e-3 kg/mol") - self.rho_g = (self.P_0 * he_molar_mass / (const_R * self.T)).to( - "kg/m**3" - ) # bubbles density, using ideal gas law for He - self.drho = self.rho_l - self.rho_g # density difference between liquid and gas - - self.Eo = self._get("Eo") # Eotvos number - self.Mo = self._get("Mo") # Morton number - self.Sc = self._get("Sc") # Schmidt number - self.Re = self._get("Re") # Reynolds number - - self.u_g0 = self._get("u_g0").to("m/s") # mean bubble velocity - - self.Re = self._get("Re").to( - "dimensionless" - ) # update Reynolds number with the calculated bubble velocity - - self.eps_g = self._get("eps_g").to("dimensionless") # gas void fraction - self.eps_l = 1 - self.eps_g - self.a = (6 * self.eps_g / self.d_b).to("1/m") # specific interfacial area - - self.h_l = self._get("h_l", corr_name="h_l_briggs").to( - "m/s" - ) # mass transfer coefficient - - self.E_g = self._get("E_g").to( - "m**2/s" - ) # gas phase axial dispersion coefficient - - if input_dict: - warnings.warn(f"Unused input parameters:{input_dict}") - - if VERBOSE: - print(self) - - def _get( - self, - key: str, - corr_name: str = None, - ): - """get a parameter value from input_dict, or compute it from correlation if not specified in input_dict - - key: name of the parameter to get in the input_dict - - corr_name: name of the correlation to use if not specified in input_dict, will be the key itself by default - """ - # try keys (several names possible in input dictionary, for retrocompatibility) - if key in self.input_dict.keys(): - print(key, f"found {key} in input_dict") - quantity = get_quantity_or_correlation(self.input_dict, key) - if callable(quantity): - # if it's a correlation function, compute the quantity using the correlation - return quantity(self) - return quantity - - else: - quantity = self.get_quantity_from_default_correlation(key, corr_name) - - if VERBOSE: - print(f"{key} = {quantity} \t calculated using default correlation") - - return quantity - - # TODO simplify this - def get_quantity_from_default_correlation(self, key, corr_name=None): - # nothing found in input_dict -> use default correlation - while True: - # default corr_name is the name of the key itself - corr_name = key if corr_name is None else corr_name - # compute quantity using correlation, and if needed retrieve quantities it depends on - if corr_name not in c.correlations_dict.keys(): - raise KeyError( - f"Correlation for '{key}' not found in correlations dictionary. Missing a required input or wrongcorrelation name. Available correlations: {list(c.correlations_dict.keys())}" - ) - try: - # compute the quantity using the default correlation function - quantity = c.correlations_dict[corr_name](self) - break - except AttributeError as e: - missing_attr = str(e).split("attribute '")[1].split("'")[0] - print(f"AttributeError: missing attribute '{missing_attr}'") - setattr( - self, missing_attr, self._get(missing_attr) - ) # recursively get missing attributes - - return quantity - - def __str__(self): - members = inspect.getmembers(self) - return "\n".join( - [ - f"{name}: {value}" - for name, value in members - if not name.startswith("_") and not inspect.isfunction(value) - ] - ) - - -def find_correlation_from_library(corr_name) -> callable: - if corr_name not in c.correlations_dict: - raise KeyError( - f"Correlation '{corr_name}' not found in correlations dictionary. Available correlations: {list(c.correlations_dict.keys())}" - ) - - func = c.correlations_dict[corr_name] - assert callable(func), f"Correlation '{corr_name}' is not a function" - return func - - -def get_correlation_from_string(s) -> callable | None: - """ - If the input is a string that contains the keyword `SEPARATOR_KEYWORD`, we assume it's a correlation name - and return the corresponding function from the correlations library, otherwise return None - """ - # if the value is a string that contains keyword "from", we assume it's a correlation name - if isinstance(s, str) and SEPARATOR_KEYWORD in s: - return s.split(SEPARATOR_KEYWORD + " ")[1] - return None - - -def get_quantity_or_correlation(input_dict, key) -> callable | pint.Quantity: - value = input_dict[key] - input_dict.pop(key) # to keep track of unused input parameters, if any - - corr_name = get_correlation_from_string(value) - if corr_name: - corr_func = find_correlation_from_library(corr_name) - return corr_func - - else: - # The quantity is directly provided as a quantity - # TODO implement logger - if VERBOSE: - print(f"{key} = {value} \t provided by input") - quantity = ureg.parse_expression(str(value)) - return quantity - - @dataclass class SimulationResults: times: list From 10867c68278430b5fa1f9105600fe278cdeacee9 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 7 Apr 2026 17:49:46 -0400 Subject: [PATCH 068/121] tests for model.solve() and exclude animation.py from coverage --- pyproject.toml | 6 +++ src/sparging/model.py | 21 +++++----- test/test_solve.py | 98 ++++++++++++++++++++++++++++++++----------- 3 files changed, 90 insertions(+), 35 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index b4c3316..219edf5 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -50,3 +50,9 @@ addopts = "-v" [tool.setuptools.package-data] sparging = ["*.yaml", "*.yml"] + +[tool.coverage.run] +source = ["src/sparging"] +omit = [ + "src/sparging/animation.py" +] diff --git a/src/sparging/model.py b/src/sparging/model.py index a32c141..7f73e87 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -19,6 +19,11 @@ from sparging.inputs import SimulationInput +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + import pint + hours_to_seconds = 3600 days_to_seconds = 24 * hours_to_seconds T2_to_T = 2 @@ -54,12 +59,6 @@ class SimulationResults: "sim_input", ] - # FIXME - namespace = { - "ramp": lambda s, e: helpers.string_to_ramp(times, s, e), - "step": lambda s: helpers.string_to_step(times, s), - } - def to_yaml(self, output_path: str): sim_dict = self.sim_input.__dict__.copy() helpers.setup_yaml() @@ -136,7 +135,12 @@ def profiles_to_csv(self, output_path: str): df_y_T2.to_csv(output_path + "_y_T2.csv", index=False) -def solve(input: SimulationInput, t_final: float, t_irr, t_sparging): +def solve( + input: SimulationInput, + t_final: pint.Quantity, + t_irr: list[pint.Quantity], + t_sparging: list[pint.Quantity], +): t_final = t_final.to("seconds").magnitude t_irr = t_irr.to("seconds").magnitude t_sparging = t_sparging.to("seconds").magnitude @@ -160,9 +164,6 @@ def solve(input: SimulationInput, t_final: float, t_irr, t_sparging): eps_l = 1 - eps_g - # tank_area = np.pi * (params["D"] / 2) ** 2 - # tank_volume = tank_area * tank_height - # MESH AND FUNCTION SPACES mesh = dolfinx.mesh.create_interval( MPI.COMM_WORLD, 1000, points=[0, input.height.magnitude] diff --git a/test/test_solve.py b/test/test_solve.py index ebddc01..b7093a3 100644 --- a/test/test_solve.py +++ b/test/test_solve.py @@ -1,34 +1,82 @@ import sparging.model as model -from sparging.helpers import get_input +from sparging.inputs import SimulationInput +from sparging.config import ureg import pytest +import dataclasses +from pint import DimensionalityError -# def test_model_solve(): -# """ -# Tests that `model.solve` runs without errors for a simple test case. Does not check results. -# """ -# params = get_input("test/test_input.yml") -# sim_input = model.SimulationInput(params) +standard_input = SimulationInput( + height=1.0 * ureg.m, + area=0.2 * ureg.m**2, + u_g0=0.25 * ureg("m/s"), + temperature=600 * ureg.celsius, + a=0.5 * ureg("1/m"), + h_l=3e-5 * ureg("m/s"), + K_s=1e-4 * ureg("mol/m**3/Pa"), + P_bottom=1.2 * ureg.bar, + eps_g=0.001 * ureg.dimensionless, + E_g=1e-2 * ureg("m^2/s"), + D_l=3e-9 * ureg("m^2/s"), + source_T=8e-16 * ureg("molT/m^3/s"), +) -# # TODO integrate to input file -# t_sparging_hr = [24, 1e20] # time interval when sparger is ON -# t_irr_hr = [0, 96] # time interval when irradiation is ON -# t_final = 1 * model.days_to_seconds -# model.solve( -# sim_input, -# t_final=t_final, -# t_irr=[t * model.hours_to_seconds for t in t_irr_hr], -# t_sparging=[t * model.hours_to_seconds for t in t_sparging_hr], -# ) +def test_model_solve_successfull(): + """ + Tests that `model.solve` runs without errors for a simple test case. Does not check results. + """ + # TODO integrate to input file + t_sparging = [0, 1e20] * ureg.hours # time interval when sparger is ON + t_irr = [0, 36] * ureg.hours # time interval when irradiation is ON + t_final = 0.2 * ureg.day + output = model.solve( + standard_input, + t_final=t_final, + t_irr=t_irr, + t_sparging=t_sparging, + ) -# def test_model_solve_incomplete_input(): -# """ -# Tests SimulationInput raises error when required input is missing. -# """ -# params = get_input("test/test_input.yml") -# params.pop("tank_diameter") # remove bubble velocity to test default value -# with pytest.raises(KeyError, match="Missing a required input"): -# model.SimulationInput(params) +def test_model_solve_missing_input(): + """ + Tests SimulationInput raises error when required input is missing. + """ + broken_input = dataclasses.replace(standard_input) + del broken_input.u_g0 # missing required parameter + + t_sparging = [0, 1e20] * ureg.hours # time interval when sparger is ON + t_irr = [0, 36] * ureg.hours # time interval when irradiation is ON + t_final = 1 * ureg.day + + with pytest.raises( + AttributeError, match="'SimulationInput' object has no attribute 'u_g0'" + ): + model.solve( + broken_input, + t_final=t_final, + t_irr=t_irr, + t_sparging=t_sparging, + ) + + +def test_model_solve_wrong_input(): + """ + Tests SimulationInput raises error when required input has wrong dimensionality + """ + broken_input = dataclasses.replace( + standard_input, u_g0=3 * ureg("m^2/s") + ) # wrong units + + t_sparging = [0, 1e20] * ureg.hours # time interval when sparger is ON + t_irr = [0, 36] * ureg.hours # time interval when irradiation is ON + t_final = 1 * ureg.day + + with pytest.raises(DimensionalityError, match="Cannot convert from"): + model.solve( + broken_input, + t_final=t_final, + t_irr=t_irr, + t_sparging=t_sparging, + ) From 9e0ed4f94e686c0274396b13939b2a1ee2c1b3ae Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 7 Apr 2026 18:26:59 -0400 Subject: [PATCH 069/121] test building whole SimulationInput using from_parameters() --- test/test_simulation_input.py | 31 ++++++++++++++++++++++++++++--- 1 file changed, 28 insertions(+), 3 deletions(-) diff --git a/test/test_simulation_input.py b/test/test_simulation_input.py index 45f1ed8..611189b 100644 --- a/test/test_simulation_input.py +++ b/test/test_simulation_input.py @@ -8,6 +8,7 @@ SpargingParameters, find_in_graph, check_input, + SimulationInput, ) import pytest @@ -38,6 +39,25 @@ ) +def test_from_parameters_success(): + """ + Test that SimulationInput.from_parameters successfully creates a SimulationInput object from minimal input objects + """ + sim_input = SimulationInput.from_parameters( + geom, flibe, operating_params, sparging_params + ) + + assert isinstance(sim_input, SimulationInput), ( + "Expected from_parameters to return a SimulationInput instance" + ) + # Check that all fields are populated and have the correct types + for field in dataclasses.fields(sim_input): + value = getattr(sim_input, field.name) + assert isinstance(value, ureg.Quantity), ( + f"Expected field '{field.name}' to be a pint.Quantity, got {type(value)}" + ) + + def test_find_in_graph_logging(tmp_path): """ Test that the `find_in_graph` function logs the expected output when searching for a parameter in the graph. @@ -121,7 +141,7 @@ def test_find_in_graph_result(in_discovered: bool): ) -@pytest.mark.parametrize("missing_param", ("nb_nozzle", "flow_g_mol")) +@pytest.mark.parametrize("missing_param", ("nb_nozzle", "flow_g_mol", "n_gen_rate")) def test_find_in_graph_unresolvable(missing_param: str): """ Test that find_in_graph raises an error when a parameter cannot be resolved. @@ -129,11 +149,16 @@ def test_find_in_graph_unresolvable(missing_param: str): # BUILD broken_geom = dataclasses.replace(geom) broken_op_params = dataclasses.replace(operating_params) + to_find = str() match missing_param: case "nb_nozzle": + to_find = "d_b" setattr(broken_geom, missing_param, None) case "flow_g_mol": - pass + to_find = "d_b" + setattr(broken_op_params, missing_param, None) + case "n_gen_rate": + to_find = "source_T" setattr(broken_op_params, missing_param, None) # RUN with pytest.raises( @@ -141,7 +166,7 @@ def test_find_in_graph_unresolvable(missing_param: str): match=f"Could not find path to required node '{missing_param}' in the graph or in the default correlations", ): find_in_graph( - "d_b", + to_find, discovered_nodes={}, # no discovered nodes provided graph=[ broken_geom, From da8e65474fb40fdf790af0da6e66ee379988f360 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 7 Apr 2026 18:50:20 -0400 Subject: [PATCH 070/121] test successful exports to yaml, json and csv --- src/sparging/model.py | 27 ++++++++++++--------------- test/test_solve.py | 14 ++++++++++---- 2 files changed, 22 insertions(+), 19 deletions(-) diff --git a/src/sparging/model.py b/src/sparging/model.py index 7f73e87..84f0a93 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -14,6 +14,7 @@ import yaml import sparging.helpers as helpers import json +from pathlib import Path from sparging.config import ureg @@ -59,7 +60,7 @@ class SimulationResults: "sim_input", ] - def to_yaml(self, output_path: str): + def to_yaml(self, output_path: Path): sim_dict = self.sim_input.__dict__.copy() helpers.setup_yaml() @@ -70,13 +71,10 @@ def to_yaml(self, output_path: str): "date": datetime.now().isoformat(), }, } - sim_dict.pop( - "quantities_dict" - ) # remove quantities_dict from input for cleaner output - output["input"] = {} + output["simulation parameters"] = {} for key, value in sim_dict.items(): - output["input"][key] = str(value) + output["simulation parameters"][key] = str(value) output["results"] = self.__dict__.copy() # remove c_T2_solutions and y_T2_solutions from results to avoid dumping large arrays in yaml, they can be saved separately if needed @@ -86,8 +84,8 @@ def to_yaml(self, output_path: str): with open(output_path, "w") as f: yaml.dump(output, f, sort_keys=False) - def to_json(self, output_path: str): - sim_dict = self.sim_input.quantities_dict.copy() + def to_json(self, output_path: Path): + sim_dict = self.sim_input.__dict__.copy() # structure the output output = { @@ -96,10 +94,9 @@ def to_json(self, output_path: str): "date": datetime.now().isoformat(), }, } - if sim_dict.get("inputed"): - output["input parameters"] = sim_dict["inputed"] - if sim_dict.get("computed"): - output["calculated properties"] = sim_dict["computed"] + output["simulation parameters"] = {} + for key, value in sim_dict.items(): + output["simulation parameters"][key] = str(value) output["results"] = self.__dict__.copy() # remove c_T2_solutions and y_T2_solutions from results to avoid dumping large arrays in yaml, they can be saved separately if needed @@ -117,7 +114,7 @@ def to_json(self, output_path: str): with open(output_path, "w") as f: json.dump(output, f, indent=3) - def profiles_to_csv(self, output_path: str): + def profiles_to_csv(self, output_path: Path): """save c_T2 and y_T2 profiles at all time steps to csv files, one for c_T2 and one for y_T2, with columns for each time step""" import pandas as pd @@ -131,8 +128,8 @@ def profiles_to_csv(self, output_path: str): df_c_T2[f"c_T2_t{i}"] = c_T2_profile df_y_T2[f"y_T2_t{i}"] = y_T2_profile - df_c_T2.to_csv(output_path + "_c_T2.csv", index=False) - df_y_T2.to_csv(output_path + "_y_T2.csv", index=False) + df_c_T2.to_csv(output_path.joinpath("_c_T2.csv"), index=False) + df_y_T2.to_csv(output_path.joinpath("_y_T2.csv"), index=False) def solve( diff --git a/test/test_solve.py b/test/test_solve.py index b7093a3..d3fb0b9 100644 --- a/test/test_solve.py +++ b/test/test_solve.py @@ -22,13 +22,14 @@ ) -def test_model_solve_successfull(): +def test_model_solve_successfull(tmp_path): """ Tests that `model.solve` runs without errors for a simple test case. Does not check results. + Also tests successful exporting results to yaml, json and csv files. """ # TODO integrate to input file - t_sparging = [0, 1e20] * ureg.hours # time interval when sparger is ON - t_irr = [0, 36] * ureg.hours # time interval when irradiation is ON + t_sparging = [2, 1e20] * ureg.hours # time interval when sparger is ON + t_irr = [1, 3] * ureg.hours # time interval when irradiation is ON t_final = 0.2 * ureg.day output = model.solve( @@ -37,6 +38,11 @@ def test_model_solve_successfull(): t_irr=t_irr, t_sparging=t_sparging, ) + from pathlib import Path + + output.to_yaml(Path(tmp_path).joinpath("dummy.yaml")) + output.to_json(Path(tmp_path).joinpath("dummy.json")) + output.profiles_to_csv(Path(tmp_path)) def test_model_solve_missing_input(): @@ -47,7 +53,7 @@ def test_model_solve_missing_input(): del broken_input.u_g0 # missing required parameter t_sparging = [0, 1e20] * ureg.hours # time interval when sparger is ON - t_irr = [0, 36] * ureg.hours # time interval when irradiation is ON + t_irr = [0, 4] * ureg.hours # time interval when irradiation is ON t_final = 1 * ureg.day with pytest.raises( From 2ef1d3190f163ef41713285093f06252183f0725 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Wed, 8 Apr 2026 11:27:15 -0400 Subject: [PATCH 071/121] made specifying input_units mandatory + tests for Correlation and CorrelationGroup --- src/sparging/correlations.py | 28 ++++++------- test/test_simulation_input.py | 74 ++++++++++++++++++++++++++++++++++- 2 files changed, 87 insertions(+), 15 deletions(-) diff --git a/src/sparging/correlations.py b/src/sparging/correlations.py index 45de2fb..9f8f09b 100644 --- a/src/sparging/correlations.py +++ b/src/sparging/correlations.py @@ -15,7 +15,7 @@ U_G0_DEFAULT = 0.25 # m/s, typical bubble velocity according to Chavez 2021 -class CorrelationType(enum.Enum): +class CorrelationType(enum.Enum): # TODO do we really use it ? MASS_TRANSFER_COEFF = "h_l" DENSITY = "rho_l" DIFFUSIVITY = "D_l" @@ -41,24 +41,23 @@ class Correlation: identifier: str function: callable corr_type: CorrelationType + input_units: list[str] source: str | None = None description: str | None = None - input_units: list[str] | None = None output_units: str | None = None - def __call__(self, **kwargs): + def __call__(self, **kwargs: pint.Quantity) -> pint.Quantity: # check the dimensions are correct - if self.input_units is not None: - for arg_name, expected_dimension in zip(kwargs, self.input_units): - arg = kwargs[arg_name] - if not isinstance(arg, ureg.Quantity): - raise ValueError( - f"Invalid input: expected a pint.Quantity with units of {expected_dimension}, got {arg} of type {type(arg)}" - ) - if not arg.dimensionality == ureg(expected_dimension).dimensionality: - raise ValueError( - f"Invalid input when resolving for {self.identifier}: expected dimensions of {expected_dimension}, got {arg.dimensionality}" - ) + for arg_name, expected_dimension in zip(kwargs, self.input_units): + arg = kwargs[arg_name] + if not isinstance(arg, ureg.Quantity): + raise ValueError( + f"Invalid input: expected a pint.Quantity with units of {expected_dimension}, got {arg} of type {type(arg)}" + ) + if not arg.dimensionality == ureg(expected_dimension).dimensionality: + raise ValueError( + f"Invalid input when resolving for {self.identifier}: expected dimensions of {expected_dimension}, got {arg.dimensionality}" + ) result = self.function(**kwargs) if self.output_units is not None: return result.to(self.output_units) @@ -66,6 +65,7 @@ def __call__(self, **kwargs): return result.to_base_units() # TODO add a method that checks the validity of the input parameters based on the range of validity of the correlation, if provided in the description or source. This method could be called before running the simulation to warn the user if they are using a correlation outside of its validated range. + # TODO add __post_init__ to check that user defined correlation has same number of input_units as the number of arguments in the function, and that the output of the function is a pint.Quantity with the correct units if output_units is provided class CorrelationGroup(list[Correlation]): diff --git a/test/test_simulation_input.py b/test/test_simulation_input.py index 611189b..a5decff 100644 --- a/test/test_simulation_input.py +++ b/test/test_simulation_input.py @@ -1,6 +1,6 @@ import sparging from sparging.config import ureg -from sparging import all_correlations +from sparging import all_correlations, CorrelationGroup, Correlation from sparging.inputs import ( ColumnGeometry, BreederMaterial, @@ -202,3 +202,75 @@ def test_check_input_unexpected_type(): ): result = check_input("tbr", [geom, broken_op_params]) assert False, f"Expected ValueError, got {result}" + + +def test_correlation_group(): + """ + Test that CorrelationGroup __contains__ and __call__ behave as expected. + """ + # BUILD + corr_str = "dummy_corr" + corr_str_typo = "dummy_coor" + corr_str_wrong_type = ureg.Quantity(5, ureg.s) + + my_corr_obj = Correlation( + identifier=corr_str, + function=lambda: None, + corr_type="dummy", + input_units=[], + ) + corr_group = CorrelationGroup([my_corr_obj]) + + # TEST __contains__ + if corr_str in corr_group: # should be found + pass + if my_corr_obj in corr_group: # should be found + pass + if corr_str_typo in corr_group: # should not be found + assert False, ( + f"Expected '{corr_str_typo}' not to be found in CorrelationGroup, but it was" + ) + with pytest.raises( + TypeError, + match="Type not valid for correlation group membership check, expected str or Correlation, got ", + ): + if corr_str_wrong_type in corr_group: # wrong type, should raise TypeError + pass + + # TEST __call__ + correlation_found = corr_group(corr_str) # return a Correlation + assert isinstance(correlation_found, Correlation), ( + "Expected to find dummy_corr Correlation" + ) + + with pytest.raises( + ValueError, + match=f"Correlation with identifier {corr_str_typo} not found", + ): + corr_group(corr_str_typo) # non-existent correlation, should raise ValueError + + +def test_correlation(): + """ + Test Correlation raises an error when: + - providing wrong input (missing arguments/wrong dimensionality)""" + + # BUILD + my_corr_obj = Correlation( + identifier="dummy_corr", + function=lambda a, b: a * ureg.s, + corr_type="dummy", + input_units=[ + "m" + ], # TODO should raise an error if input_units length doesn't match function arguments when constructing the correlation + ) + + # RUN + assert isinstance(my_corr_obj(a=5 * ureg.m, b=None), ureg.Quantity), ( + "Expected a pint.Quantity as output" + ) # should work + + with pytest.raises(ValueError, match="expected a pint.Quantity"): + my_corr_obj(a=5, b=None) # wrong input type, should be a pint.Quantity + with pytest.raises(ValueError, match="expected dimensions"): + my_corr_obj(a=5 * ureg.s, b=None) # wrong units, should raise ValueError From 3aa8cbfb0c1f4f9842cef498b9ab63458b0e9479 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Wed, 8 Apr 2026 15:55:47 -0400 Subject: [PATCH 072/121] create Simulation object + adapted tests --- example2.py | 34 ++-- src/sparging/model.py | 447 +++++++++++++++++++++--------------------- test/test_solve.py | 60 +++--- 3 files changed, 259 insertions(+), 282 deletions(-) diff --git a/example2.py b/example2.py index 80b7f21..6dc2a18 100644 --- a/example2.py +++ b/example2.py @@ -1,7 +1,7 @@ from sparging.config import ureg from sparging import all_correlations from sparging import animation -from sparging.model import solve +from sparging.model import Simulation from sparging.inputs import ( ColumnGeometry, BreederMaterial, @@ -43,32 +43,22 @@ my_input = SimulationInput.from_parameters( geom, flibe, operating_params, sparging_params ) +logger.info(my_input) -assert isinstance(my_input, SimulationInput) - -# # inputs.to_yaml(f"input_{tank_height}m.yml") -# # inputs.to_json(f"input_{tank_height}m.json") - -# # unpacked_inputs = inputs.resolve() - -# # inputs = SimulationInput.from_yaml(f"input_{tank_height}m.yml") -# # inputs.T = 500 -# # inputs.to_yaml(f"input_{tank_height}m_modified.yml") -# # output = solve(unpacked_inputs) +my_simulation = Simulation( + my_input, + t_final=3 * ureg.days, + signal_irr=lambda t: 1 if t < 12 * ureg.hour else 0, + signal_sparging=lambda t: 1, +) +output = my_simulation.solve() # # save output to file -# # output.profiles_to_csv(f"output_{tank_height}m.csv") +# output.profiles_to_csv(f"output_{tank_height}m.csv") # # plot results -# # from sparging import plotting -# # plotting.plot_animation(output) +# from sparging import plotting +# plotting.plot_animation(output) -logger.info(my_input) -output = solve( - my_input, - t_final=3 * ureg.days, - t_irr=[0, 12] * ureg.h, - t_sparging=[0, 1e9] * ureg.h, -) animation.create_animation(output, show_activity=True) diff --git a/src/sparging/model.py b/src/sparging/model.py index 84f0a93..743dbe5 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -132,232 +132,225 @@ def profiles_to_csv(self, output_path: Path): df_y_T2.to_csv(output_path.joinpath("_y_T2.csv"), index=False) -def solve( - input: SimulationInput, - t_final: pint.Quantity, - t_irr: list[pint.Quantity], - t_sparging: list[pint.Quantity], -): - t_final = t_final.to("seconds").magnitude - t_irr = t_irr.to("seconds").magnitude - t_sparging = t_sparging.to("seconds").magnitude - dt = 0.2 * ureg("hours").to("seconds").magnitude - # unpack parameters - tank_height = input.height.to("m").magnitude - tank_area = input.area.to("m**2").magnitude - tank_volume = input.volume.to("m**3").magnitude - a = input.a.to("1/m").magnitude - h_l = input.h_l.to("m/s").magnitude - K_s = input.K_s.to("mol/m**3/Pa").magnitude - P_0 = input.P_bottom.to("Pa").magnitude - T = input.temperature.to("K").magnitude - eps_g = input.eps_g.to("dimensionless").magnitude - E_g = input.E_g.to("m**2/s").magnitude - D_l = input.D_l.to("m**2/s").magnitude - u_g0 = input.u_g0.to("m/s").magnitude - # convert T generation rate to T2 generation rate for the gas phase [mol T2 /m3/s], - # assuming bred T immediately combines to T2 - source_T2 = input.source_T.to("molT2/s/m**3").magnitude - - eps_l = 1 - eps_g - - # MESH AND FUNCTION SPACES - mesh = dolfinx.mesh.create_interval( - MPI.COMM_WORLD, 1000, points=[0, input.height.magnitude] - ) - fdim = mesh.topology.dim - 1 - cg_el = basix.ufl.element("Lagrange", mesh.basix_cell(), degree=1, shape=(2,)) - - V = dolfinx.fem.functionspace(mesh, cg_el) - - u = dolfinx.fem.Function(V) - u_n = dolfinx.fem.Function(V) - v_c, v_y = ufl.TestFunctions(V) - - c_T2, y_T2 = ufl.split(u) - c_T2_n, y_T2_n = ufl.split(u_n) - - vel_x = u_g0 # TODO velocity should vary with hydrostatic pressure - vel = dolfinx.fem.Constant(mesh, PETSc.ScalarType([vel_x])) - - """ vel = fem_func(U) - v,interpolate(lambda x: v0 + 2*x[0])""" - - h_l_const = dolfinx.fem.Constant(mesh, PETSc.ScalarType(h_l)) - - gen_T2 = dolfinx.fem.Constant( - mesh, PETSc.ScalarType(source_T2) - ) # generation term [mol T2 /m3/s] - - # VARIATIONAL FORMULATION - - # mass transfer rate - J_T2 = ( - a * h_l_const * (c_T2 - K_s * (P_0 * y_T2 + EPS)) - ) # TODO pressure shouldn't be a constant (use hydrostatic pressure profile), how to deal with this ? -> use fem.Expression ? - - F = 0 # variational formulation - - # transient terms - F += eps_l * ((c_T2 - c_T2_n) / dt) * v_c * ufl.dx - F += eps_g * 1 / (const.R * T) * (P_0 * (y_T2 - y_T2_n) / dt) * v_y * ufl.dx - - # diffusion/dispersion terms #TODO shouldn't use D_l, transport of T in liquid is dominated by dispersive effects due to gas sparging, find dispersion coeff for steady liquid in gas bubbles - F += eps_l * D_l * ufl.dot(ufl.grad(c_T2), ufl.grad(v_c)) * ufl.dx - - # NOTE remove diffusive term for gas for now for mass balance - # F += eps_g * E_g * ufl.dot(ufl.grad(P_0 * y_T2), ufl.grad(v_y)) * ufl.dx - - # mass exchange (coupling term) - F += J_T2 * v_c * ufl.dx - J_T2 * v_y * ufl.dx - - # Generation term in the breeder - F += -gen_T2 * v_c * ufl.dx - - # advection of gas - F += 1 / (const.R * T) * ufl.inner(ufl.dot(ufl.grad(P_0 * y_T2), vel), v_y) * ufl.dx - - # BOUNDARY CONDITIONS - gas_inlet_facets = dolfinx.mesh.locate_entities_boundary( - mesh, fdim, lambda x: np.isclose(x[0], 0.0) - ) - gas_outlet_facets = dolfinx.mesh.locate_entities_boundary( - mesh, fdim, lambda x: np.isclose(x[0], tank_height) - ) - bc1 = dolfinx.fem.dirichletbc( - dolfinx.fem.Constant(mesh, 0.0), - dolfinx.fem.locate_dofs_topological(V.sub(1), fdim, gas_inlet_facets), - V.sub(1), - ) - bc2 = dolfinx.fem.dirichletbc( - dolfinx.fem.Constant(mesh, 0.0), - dolfinx.fem.locate_dofs_topological(V.sub(0), fdim, gas_outlet_facets), - V.sub(0), - ) - - # Custom measure - all_facets = np.concatenate((gas_inlet_facets, gas_outlet_facets)) - all_tags = np.concatenate( - (np.full_like(gas_inlet_facets, 1), np.full_like(gas_outlet_facets, 2)) - ) - facet_markers = dolfinx.mesh.meshtags(mesh, fdim, all_facets, all_tags) - ds = ufl.Measure("ds", domain=mesh, subdomain_data=facet_markers) - - # set up problem - problem = NonlinearProblem( - F, - u, - bcs=[bc1, bc2], - petsc_options_prefix="librasparge", - # petsc_options={"snes_monitor": None}, - ) - - # initialise post processing - V0_ct, ct_dofs = u.function_space.sub(0).collapse() - coords = V0_ct.tabulate_dof_coordinates()[:, 0] - ct_sort_coords = np.argsort(coords) - x_ct = coords[ct_sort_coords] - - V0_y, y_dofs = u.function_space.sub(1).collapse() - coords = V0_y.tabulate_dof_coordinates()[:, 0] - y_sort_coords = np.argsort(coords) - x_y = coords[y_sort_coords] - - times = [] - c_T2_solutions = [] - y_T2_solutions = [] - sources_T2 = [] - fluxes_T2 = [] - inventories_T2_salt = [] - - # SOLVE - t = 0 - while t < t_final: - if isinstance(t_irr, (int, float)): - if t >= t_irr: - gen_T2.value = 0.0 - else: - if t >= t_irr[0] and t < t_irr[1]: - gen_T2.value = source_T2 - else: - gen_T2.value = 0.0 - """ utiliser ufl.conditional TODO""" - if t_sparging is not None: - if t >= t_sparging[0] and t < t_sparging[1]: - h_l_const.value = h_l - else: - h_l_const.value = 0.0 - - problem.solve() - - # update previous solution - u_n.x.array[:] = u.x.array[:] - - # post process - c_T2_post, y_T2_post = u.split() - - c_T2_vals = u.x.array[ct_dofs][ct_sort_coords] - y_T2_vals = u.x.array[y_dofs][y_sort_coords] - - # store time and solution - # TODO give units to the results - times.append(t) - c_T2_solutions.append(c_T2_vals.copy()) - y_T2_solutions.append(y_T2_vals.copy()) - sources_T2.append( - gen_T2.value.copy() * tank_volume - ) # total T generation rate in the tank [mol/s] - - flux_T2 = dolfinx.fem.assemble_scalar( - dolfinx.fem.form( - tank_area * vel_x * P_0 / (const.R * T) * y_T2_post * ds(2) +@dataclass +class Simulation: + sim_input: SimulationInput + t_final: pint.Quantity + signal_irr: callable + signal_sparging: callable + + def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None): + # unpack pint.Quantities + t_final = self.t_final.to("seconds").magnitude + tank_height = self.sim_input.height.to("m").magnitude + tank_area = self.sim_input.area.to("m**2").magnitude + tank_volume = self.sim_input.volume.to("m**3").magnitude + a = self.sim_input.a.to("1/m").magnitude + h_l = self.sim_input.h_l.to("m/s").magnitude + K_s = self.sim_input.K_s.to("mol/m**3/Pa").magnitude + P_0 = self.sim_input.P_bottom.to("Pa").magnitude + T = self.sim_input.temperature.to("K").magnitude + eps_g = self.sim_input.eps_g.to("dimensionless").magnitude + E_g = self.sim_input.E_g.to("m**2/s").magnitude + D_l = self.sim_input.D_l.to("m**2/s").magnitude + u_g0 = self.sim_input.u_g0.to("m/s").magnitude + source_T2 = self.sim_input.source_T.to("molT2/s/m**3").magnitude + + dt = dt.to("seconds").magnitude if dt is not None else t_final / 1000 + dx = dx.to("m").magnitude if dx is not None else tank_height / 1000 + eps_l = 1 - eps_g + + # MESH AND FUNCTION SPACES + mesh = dolfinx.mesh.create_interval( + MPI.COMM_WORLD, int(tank_height / dx), points=[0, tank_height] + ) + fdim = mesh.topology.dim - 1 + cg_el = basix.ufl.element("Lagrange", mesh.basix_cell(), degree=1, shape=(2,)) + + V = dolfinx.fem.functionspace(mesh, cg_el) + + u = dolfinx.fem.Function(V) + u_n = dolfinx.fem.Function(V) + v_c, v_y = ufl.TestFunctions(V) + + c_T2, y_T2 = ufl.split(u) + c_T2_n, y_T2_n = ufl.split(u_n) + + vel_x = u_g0 # TODO velocity should vary with hydrostatic pressure + vel = dolfinx.fem.Constant(mesh, PETSc.ScalarType([vel_x])) + + """ vel = fem_func(U) + v,interpolate(lambda x: v0 + 2*x[0])""" + + h_l_const = dolfinx.fem.Constant(mesh, PETSc.ScalarType(h_l)) + + gen_T2 = dolfinx.fem.Constant( + mesh, PETSc.ScalarType(source_T2) + ) # generation term [mol T2 /m3/s] + + # VARIATIONAL FORMULATION + + # mass transfer rate + J_T2 = ( + a * h_l_const * (c_T2 - K_s * (P_0 * y_T2 + EPS)) + ) # TODO pressure shouldn't be a constant (use hydrostatic pressure profile), how to deal with this ? -> use fem.Expression ? + + F = 0 # variational formulation + + # transient terms + F += eps_l * ((c_T2 - c_T2_n) / dt) * v_c * ufl.dx + F += eps_g * 1 / (const.R * T) * (P_0 * (y_T2 - y_T2_n) / dt) * v_y * ufl.dx + + # diffusion/dispersion terms #TODO shouldn't use D_l, transport of T in liquid is dominated by dispersive effects due to gas sparging, find dispersion coeff for steady liquid in gas bubbles + F += eps_l * D_l * ufl.dot(ufl.grad(c_T2), ufl.grad(v_c)) * ufl.dx + + # NOTE remove diffusive term for gas for now for mass balance + # F += eps_g * E_g * ufl.dot(ufl.grad(P_0 * y_T2), ufl.grad(v_y)) * ufl.dx + + # mass exchange (coupling term) + F += J_T2 * v_c * ufl.dx - J_T2 * v_y * ufl.dx + + # Generation term in the breeder + F += -gen_T2 * v_c * ufl.dx + + # advection of gas + F += ( + 1 + / (const.R * T) + * ufl.inner(ufl.dot(ufl.grad(P_0 * y_T2), vel), v_y) + * ufl.dx + ) + + # BOUNDARY CONDITIONS + gas_inlet_facets = dolfinx.mesh.locate_entities_boundary( + mesh, fdim, lambda x: np.isclose(x[0], 0.0) + ) + gas_outlet_facets = dolfinx.mesh.locate_entities_boundary( + mesh, fdim, lambda x: np.isclose(x[0], tank_height) + ) + bc1 = dolfinx.fem.dirichletbc( + dolfinx.fem.Constant(mesh, 0.0), + dolfinx.fem.locate_dofs_topological(V.sub(1), fdim, gas_inlet_facets), + V.sub(1), + ) + bc2 = dolfinx.fem.dirichletbc( + dolfinx.fem.Constant(mesh, 0.0), + dolfinx.fem.locate_dofs_topological(V.sub(0), fdim, gas_outlet_facets), + V.sub(0), + ) + + # Custom measure + all_facets = np.concatenate((gas_inlet_facets, gas_outlet_facets)) + all_tags = np.concatenate( + (np.full_like(gas_inlet_facets, 1), np.full_like(gas_outlet_facets, 2)) + ) + facet_markers = dolfinx.mesh.meshtags(mesh, fdim, all_facets, all_tags) + ds = ufl.Measure("ds", domain=mesh, subdomain_data=facet_markers) + + # set up problem + problem = NonlinearProblem( + F, + u, + bcs=[bc1, bc2], + petsc_options_prefix="librasparge", + # petsc_options={"snes_monitor": None}, + ) + + # initialise post processing + V0_ct, ct_dofs = u.function_space.sub(0).collapse() + coords = V0_ct.tabulate_dof_coordinates()[:, 0] + ct_sort_coords = np.argsort(coords) + x_ct = coords[ct_sort_coords] + + V0_y, y_dofs = u.function_space.sub(1).collapse() + coords = V0_y.tabulate_dof_coordinates()[:, 0] + y_sort_coords = np.argsort(coords) + x_y = coords[y_sort_coords] + + times = [] + c_T2_solutions = [] + y_T2_solutions = [] + sources_T2 = [] + fluxes_T2 = [] + inventories_T2_salt = [] + + # SOLVE + t = 0 + while t < t_final: + gen_T2.value = source_T2 * self.signal_irr(t * ureg.s) + h_l_const.value = h_l * self.signal_sparging(t * ureg.s) + """ utiliser ufl.conditional TODO""" + + problem.solve() + + # update previous solution + u_n.x.array[:] = u.x.array[:] + + # post process + c_T2_post, y_T2_post = u.split() + + c_T2_vals = u.x.array[ct_dofs][ct_sort_coords] + y_T2_vals = u.x.array[y_dofs][y_sort_coords] + + # store time and solution + # TODO give units to the results + times.append(t) + c_T2_solutions.append(c_T2_vals.copy()) + y_T2_solutions.append(y_T2_vals.copy()) + sources_T2.append( + gen_T2.value.copy() * tank_volume + ) # total T generation rate in the tank [mol/s] + + flux_T2 = dolfinx.fem.assemble_scalar( + dolfinx.fem.form( + tank_area * vel_x * P_0 / (const.R * T) * y_T2_post * ds(2) + ) + ) # total T flux at the outlet [mol/s] + + # flux_T_inlet = dolfinx.fem.assemble_scalar( + # dolfinx.fem.form( + # tank_area + # * E_g + # * P_0 + # / (const.R * T) + # * y_T2_post.dx(0) + # * T2_to_T + # * ds(1) + # ) + # ) # total T dispersive flux at the inlet [mol/s] + + n = ufl.FacetNormal(mesh) + flux_T2_inlet = dolfinx.fem.assemble_scalar( + dolfinx.fem.form(-E_g * ufl.inner(ufl.grad(P_0 * y_T2_post), n) * ds(1)) + ) # total T dispersive flux at the inlet [Pa T2 /s/m2] + flux_T2_inlet *= 1 / (const.R * T) * T2_to_T # convert to mol T/s/m2 + flux_T2_inlet *= tank_area # convert to mol T/s + + # fluxes_T2.append(flux_T2 + flux_T2_inlet) + fluxes_T2.append(flux_T2) + + inventory_T2_salt = dolfinx.fem.assemble_scalar( + dolfinx.fem.form(c_T2_post * ufl.dx) ) - ) # total T flux at the outlet [mol/s] - - # flux_T_inlet = dolfinx.fem.assemble_scalar( - # dolfinx.fem.form( - # tank_area - # * E_g - # * P_0 - # / (const.R * T) - # * y_T2_post.dx(0) - # * T2_to_T - # * ds(1) - # ) - # ) # total T dispersive flux at the inlet [mol/s] - - n = ufl.FacetNormal(mesh) - flux_T2_inlet = dolfinx.fem.assemble_scalar( - dolfinx.fem.form(-E_g * ufl.inner(ufl.grad(P_0 * y_T2_post), n) * ds(1)) - ) # total T dispersive flux at the inlet [Pa T2 /s/m2] - flux_T2_inlet *= 1 / (const.R * T) * T2_to_T # convert to mol T/s/m2 - flux_T2_inlet *= tank_area # convert to mol T/s - - # fluxes_T2.append(flux_T2 + flux_T2_inlet) - fluxes_T2.append(flux_T2) - - inventory_T2_salt = dolfinx.fem.assemble_scalar( - dolfinx.fem.form(c_T2_post * ufl.dx) + inventory_T2_salt *= tank_area # get total amount of T2 in [mol] + inventories_T2_salt.append(inventory_T2_salt) + + # advance time + t += dt + + inventories_T2_salt = np.array(inventories_T2_salt) + + # TODO reattach units using wrapping + # https://pint.readthedocs.io/en/stable/advanced/performance.html#a-safer-method-wrapping + results = SimulationResults( + times=times, + c_T2_solutions=c_T2_solutions, + y_T2_solutions=y_T2_solutions, + x_ct=x_ct, + x_y=x_y, + inventories_T2_salt=inventories_T2_salt, + source_T2=sources_T2, + fluxes_T2=fluxes_T2, + sim_input=self.sim_input, ) - inventory_T2_salt *= tank_area # get total amount of T2 in [mol] - inventories_T2_salt.append(inventory_T2_salt) - - # advance time - t += dt - - inventories_T2_salt = np.array(inventories_T2_salt) - - # TODO reattach units using wrapping - # https://pint.readthedocs.io/en/stable/advanced/performance.html#a-safer-method-wrapping - results = SimulationResults( - times=times, - c_T2_solutions=c_T2_solutions, - y_T2_solutions=y_T2_solutions, - x_ct=x_ct, - x_y=x_y, - inventories_T2_salt=inventories_T2_salt, - source_T2=sources_T2, - fluxes_T2=fluxes_T2, - sim_input=input, - ) - return results + return results diff --git a/test/test_solve.py b/test/test_solve.py index d3fb0b9..ad6b645 100644 --- a/test/test_solve.py +++ b/test/test_solve.py @@ -1,4 +1,4 @@ -import sparging.model as model +from sparging.model import Simulation from sparging.inputs import SimulationInput from sparging.config import ureg import pytest @@ -21,23 +21,21 @@ source_T=8e-16 * ureg("molT/m^3/s"), ) +standard_simulation = Simulation( + standard_input, + t_final=6 * ureg.hours, + signal_irr=lambda t: 1 if t > 1 * ureg.hour and t < 3 * ureg.hour else 0, + signal_sparging=lambda t: 1, +) + def test_model_solve_successfull(tmp_path): """ Tests that `model.solve` runs without errors for a simple test case. Does not check results. Also tests successful exporting results to yaml, json and csv files. """ - # TODO integrate to input file - t_sparging = [2, 1e20] * ureg.hours # time interval when sparger is ON - t_irr = [1, 3] * ureg.hours # time interval when irradiation is ON - t_final = 0.2 * ureg.day - output = model.solve( - standard_input, - t_final=t_final, - t_irr=t_irr, - t_sparging=t_sparging, - ) + output = standard_simulation.solve(dt=0.05 * ureg.hour, dx=0.01 * ureg.m) from pathlib import Path output.to_yaml(Path(tmp_path).joinpath("dummy.yaml")) @@ -47,42 +45,38 @@ def test_model_solve_successfull(tmp_path): def test_model_solve_missing_input(): """ - Tests SimulationInput raises error when required input is missing. + Tests SimulationInput raises error when a required input quantity is missing. """ + # BUILD broken_input = dataclasses.replace(standard_input) del broken_input.u_g0 # missing required parameter + standard_simulation.sim_input = broken_input - t_sparging = [0, 1e20] * ureg.hours # time interval when sparger is ON - t_irr = [0, 4] * ureg.hours # time interval when irradiation is ON - t_final = 1 * ureg.day - + # TEST with pytest.raises( AttributeError, match="'SimulationInput' object has no attribute 'u_g0'" ): - model.solve( - broken_input, - t_final=t_final, - t_irr=t_irr, - t_sparging=t_sparging, - ) + standard_simulation.solve(dt=0.05 * ureg.hour, dx=0.01 * ureg.m) def test_model_solve_wrong_input(): """ - Tests SimulationInput raises error when required input has wrong dimensionality + Tests Simulation.solve() raises error when required input has wrong dimensionality """ + # BUILD broken_input = dataclasses.replace( standard_input, u_g0=3 * ureg("m^2/s") ) # wrong units + standard_simulation.sim_input = broken_input - t_sparging = [0, 1e20] * ureg.hours # time interval when sparger is ON - t_irr = [0, 36] * ureg.hours # time interval when irradiation is ON - t_final = 1 * ureg.day - + # TEST with pytest.raises(DimensionalityError, match="Cannot convert from"): - model.solve( - broken_input, - t_final=t_final, - t_irr=t_irr, - t_sparging=t_sparging, - ) + standard_simulation.solve(dt=0.05 * ureg.hour, dx=0.01 * ureg.m) + + +def test_model_solve_wrong_argument(): + """ + Tests Simulation.solve() can't be given a timestep without specifying the units + """ + with pytest.raises(AttributeError, match="object has no attribute 'to'"): + standard_simulation.solve(dt=0.01) From ba31a4ef95a7031f379708707d542a51717e857c Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Wed, 8 Apr 2026 16:04:43 -0400 Subject: [PATCH 073/121] use @pytest.fixture to avoid modifications propagating to different tests --- test/test_solve.py | 23 +++++++++++++---------- 1 file changed, 13 insertions(+), 10 deletions(-) diff --git a/test/test_solve.py b/test/test_solve.py index ad6b645..aceb223 100644 --- a/test/test_solve.py +++ b/test/test_solve.py @@ -21,15 +21,18 @@ source_T=8e-16 * ureg("molT/m^3/s"), ) -standard_simulation = Simulation( - standard_input, - t_final=6 * ureg.hours, - signal_irr=lambda t: 1 if t > 1 * ureg.hour and t < 3 * ureg.hour else 0, - signal_sparging=lambda t: 1, -) + +@pytest.fixture +def standard_simulation(): + return Simulation( + standard_input, + t_final=6 * ureg.hours, + signal_irr=lambda t: 1 if t > 1 * ureg.hour and t < 3 * ureg.hour else 0, + signal_sparging=lambda t: 1, + ) -def test_model_solve_successfull(tmp_path): +def test_model_solve_successfull(tmp_path, standard_simulation): """ Tests that `model.solve` runs without errors for a simple test case. Does not check results. Also tests successful exporting results to yaml, json and csv files. @@ -43,7 +46,7 @@ def test_model_solve_successfull(tmp_path): output.profiles_to_csv(Path(tmp_path)) -def test_model_solve_missing_input(): +def test_model_solve_missing_input(standard_simulation): """ Tests SimulationInput raises error when a required input quantity is missing. """ @@ -59,7 +62,7 @@ def test_model_solve_missing_input(): standard_simulation.solve(dt=0.05 * ureg.hour, dx=0.01 * ureg.m) -def test_model_solve_wrong_input(): +def test_model_solve_wrong_input(standard_simulation): """ Tests Simulation.solve() raises error when required input has wrong dimensionality """ @@ -74,7 +77,7 @@ def test_model_solve_wrong_input(): standard_simulation.solve(dt=0.05 * ureg.hour, dx=0.01 * ureg.m) -def test_model_solve_wrong_argument(): +def test_model_solve_wrong_argument(standard_simulation): """ Tests Simulation.solve() can't be given a timestep without specifying the units """ From 921d95ec37bc202a0f8f7e34b20adc36509ce589 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Wed, 8 Apr 2026 16:59:52 -0400 Subject: [PATCH 074/121] can specify profile for source term --- example2.py | 13 +++++++++++++ src/sparging/model.py | 34 +++++++++++++++++++++++----------- 2 files changed, 36 insertions(+), 11 deletions(-) diff --git a/example2.py b/example2.py index 6dc2a18..72f4224 100644 --- a/example2.py +++ b/example2.py @@ -10,6 +10,10 @@ SimulationInput, ) import logging +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + import pint logger = logging.getLogger(__name__) logging.basicConfig(level=logging.WARNING) @@ -45,11 +49,20 @@ ) logger.info(my_input) + +def profile_source_T(z: pint.Quantity): + import numpy as np + + # return np.sin(np.pi / (1 * ureg.m) * z) + return 0.5 * (1 + np.cos(0.5 * np.pi / (1 * ureg.m) * z)) + + my_simulation = Simulation( my_input, t_final=3 * ureg.days, signal_irr=lambda t: 1 if t < 12 * ureg.hour else 0, signal_sparging=lambda t: 1, + profile_source_T=profile_source_T, ) output = my_simulation.solve() diff --git a/src/sparging/model.py b/src/sparging/model.py index 743dbe5..c3fdb35 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -136,8 +136,13 @@ def profiles_to_csv(self, output_path: Path): class Simulation: sim_input: SimulationInput t_final: pint.Quantity - signal_irr: callable - signal_sparging: callable + signal_irr: callable[pint.Quantity] + signal_sparging: callable[pint.Quantity] + profile_source_T: callable[pint.Quantity] | None = None + + def __post_init__(self): + if self.profile_source_T is None: + self.profile_source_T = lambda x: 1 def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None): # unpack pint.Quantities @@ -166,8 +171,10 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None ) fdim = mesh.topology.dim - 1 cg_el = basix.ufl.element("Lagrange", mesh.basix_cell(), degree=1, shape=(2,)) + profile_el = basix.ufl.element("Lagrange", mesh.basix_cell(), degree=1) V = dolfinx.fem.functionspace(mesh, cg_el) + V_profile = dolfinx.fem.functionspace(mesh, profile_el) u = dolfinx.fem.Function(V) u_n = dolfinx.fem.Function(V) @@ -179,14 +186,12 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None vel_x = u_g0 # TODO velocity should vary with hydrostatic pressure vel = dolfinx.fem.Constant(mesh, PETSc.ScalarType([vel_x])) - """ vel = fem_func(U) - v,interpolate(lambda x: v0 + 2*x[0])""" - h_l_const = dolfinx.fem.Constant(mesh, PETSc.ScalarType(h_l)) - gen_T2 = dolfinx.fem.Constant( - mesh, PETSc.ScalarType(source_T2) - ) # generation term [mol T2 /m3/s] + # gen_T2 = dolfinx.fem.Constant( + # mesh, PETSc.ScalarType(source_T2) + # ) # generation term [mol T2 /m3/s] + gen_T2 = dolfinx.fem.Function(V_profile) # VARIATIONAL FORMULATION @@ -277,7 +282,14 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None # SOLVE t = 0 while t < t_final: - gen_T2.value = source_T2 * self.signal_irr(t * ureg.s) + gen_T2.interpolate( + lambda x: ( + x[0] * 0 # why do I need to put x[0] at all cost??? + + self.profile_source_T(x[0] * ureg.m) + * source_T2 + * self.signal_irr(t * ureg.s) + ) + ) h_l_const.value = h_l * self.signal_sparging(t * ureg.s) """ utiliser ufl.conditional TODO""" @@ -298,8 +310,8 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None c_T2_solutions.append(c_T2_vals.copy()) y_T2_solutions.append(y_T2_vals.copy()) sources_T2.append( - gen_T2.value.copy() * tank_volume - ) # total T generation rate in the tank [mol/s] + source_T2 * self.signal_irr(t * ureg.s) * tank_volume + ) # total T generation rate in the tank [mol/s] TODO useless: signal_irr is already given flux_T2 = dolfinx.fem.assemble_scalar( dolfinx.fem.form( From cab643643a32e560e4e33f83b7e5e237354455e5 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Wed, 8 Apr 2026 17:31:41 -0400 Subject: [PATCH 075/121] added to_json() method to SimulationInput to be able to compare built input with reference result (as a consistency check) + updated test --- src/sparging/inputs.py | 8 ++++++++ test/test_simulation_input.py | 29 ++++++++++++++++++++++++----- 2 files changed, 32 insertions(+), 5 deletions(-) diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index a22168d..b61b7e4 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -88,6 +88,14 @@ def __post_init__(self): f"In {self.__class__.__name__}: Invalid type for '{key}': expected a pint.Quantity, got {value} of type {type(value)}" ) + def to_json(self, path: str): + import json + + with open(path, "w") as f: + json.dump( + {key: str(value) for key, value in self.__dict__.items()}, f, indent=2 + ) + @classmethod def from_parameters( cls, diff --git a/test/test_simulation_input.py b/test/test_simulation_input.py index a5decff..f669cc6 100644 --- a/test/test_simulation_input.py +++ b/test/test_simulation_input.py @@ -13,6 +13,9 @@ import pytest import dataclasses +import difflib +import logging +from pathlib import Path # define standard LIBRA input parameters to be used in multiple tests geom = ColumnGeometry( @@ -39,9 +42,10 @@ ) -def test_from_parameters_success(): +def test_from_parameters_success(tmp_path): """ Test that SimulationInput.from_parameters successfully creates a SimulationInput object from minimal input objects + and that the generated SimulationInput is consistent with the standard input it should yield """ sim_input = SimulationInput.from_parameters( geom, flibe, operating_params, sparging_params @@ -57,16 +61,31 @@ def test_from_parameters_success(): f"Expected field '{field.name}' to be a pint.Quantity, got {type(value)}" ) + reference_path = Path(__file__).with_name("standard_input.json") + generated_path = Path(tmp_path).joinpath("generated_input.json") + + sim_input.to_json(generated_path) + + generated_text = generated_path.read_text(encoding="utf-8") + reference_text = reference_path.read_text(encoding="utf-8") + + diff = "\n".join( + difflib.unified_diff( + reference_text.splitlines(), + generated_text.splitlines(), + fromfile=str(reference_path.name), + tofile=str(generated_path.name), + lineterm="", + ) + ) + assert generated_text == reference_text, f"Log output mismatch:\n{diff}" + def test_find_in_graph_logging(tmp_path): """ Test that the `find_in_graph` function logs the expected output when searching for a parameter in the graph. """ # BUILD - import difflib - import logging - from pathlib import Path - reference_log_path = Path(__file__).with_name("test_find_in_graph.reference.log") generated_log_path = Path(tmp_path).joinpath("test_find_in_graph.generated.log") From 01ed676a494b76be651e9a1a2b2ebb6306250bcd Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Wed, 8 Apr 2026 17:35:55 -0400 Subject: [PATCH 076/121] added to vc needed .json (for tests) + delete unused file --- .gitignore | 1 + main.py | 42 ---------------------------------------- test/standard_input.json | 14 ++++++++++++++ 3 files changed, 15 insertions(+), 42 deletions(-) delete mode 100644 main.py create mode 100644 test/standard_input.json diff --git a/.gitignore b/.gitignore index a2110fa..06849bf 100644 --- a/.gitignore +++ b/.gitignore @@ -210,5 +210,6 @@ __marimo__/ *.csv mwe.py *.json +!standard_input.json *.ipynb *.code-workspace diff --git a/main.py b/main.py deleted file mode 100644 index a944a4a..0000000 --- a/main.py +++ /dev/null @@ -1,42 +0,0 @@ -import src.sparging.model as model -import sys -import os -from sparging.animation import create_animation -from sparging.helpers import get_input - - -ANIMATE = True -SHOW_ACTIVITY = True -YAML_INPUT_PATH = os.path.join(os.getcwd(), sys.argv[1]) -OUTPUT_FOLDER = os.path.join( - os.getcwd(), sys.argv[1].split(".")[0].replace("_input", "") -) - -if __name__ == "__main__": - assert False - params = get_input(YAML_INPUT_PATH) - sim_input = model.SimulationInput(params) - - # TODO integrate to input file - t_sparging_hr = [24, 1e20] # time interval when sparger is ON - t_irr_hr = [0, 96] # time interval when irradiation is ON - t_final = 6 * model.days_to_seconds - - results = model.solve( - sim_input, - t_final=t_final, - t_irr=[t * model.hours_to_seconds for t in t_irr_hr], - t_sparging=[t * model.hours_to_seconds for t in t_sparging_hr], - ) - - os.makedirs(OUTPUT_FOLDER, exist_ok=True) - results.to_yaml(os.path.join(OUTPUT_FOLDER, "restart.yaml")) - results.to_json(os.path.join(OUTPUT_FOLDER, "output.json")) - # results.profiles_to_csv(os.path.join(OUTPUT_FOLDER, "profiles")) - - if ANIMATE is True: - # Create interactive animation - try: - create_animation(results, show_activity=SHOW_ACTIVITY) - except KeyboardInterrupt: - pass diff --git a/test/standard_input.json b/test/standard_input.json new file mode 100644 index 0000000..17b74fa --- /dev/null +++ b/test/standard_input.json @@ -0,0 +1,14 @@ +{ + "height": "1.000e+00 m", + "area": "2.000e-01 m ** 2", + "u_g0": "2.182e-01 m / s", + "temperature": "6.000e+02 \u00b0C", + "a": "5.925e-01 / m", + "h_l": "2.750e-05 m / s", + "K_s": "6.366e-04 mol / m ** 3 / Pa", + "P_bottom": "1.208e+05 Pa", + "eps_g": "4.091e-04", + "E_g": "1.111e-02 m ** 2 / s", + "D_l": "2.857e-09 m ** 2 / s", + "source_T": "8.303e-16 molT / m ** 3 / s" +} \ No newline at end of file From f02586e1f747576f28bc42baae97a3a5a8de0705 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Thu, 9 Apr 2026 15:27:16 -0400 Subject: [PATCH 077/121] optimized source term profile update (no interpolation at every time step) --- example2.py | 1 - src/sparging/model.py | 29 +++++++++++++---------------- 2 files changed, 13 insertions(+), 17 deletions(-) diff --git a/example2.py b/example2.py index 72f4224..3382f5c 100644 --- a/example2.py +++ b/example2.py @@ -62,7 +62,6 @@ def profile_source_T(z: pint.Quantity): t_final=3 * ureg.days, signal_irr=lambda t: 1 if t < 12 * ureg.hour else 0, signal_sparging=lambda t: 1, - profile_source_T=profile_source_T, ) output = my_simulation.solve() diff --git a/src/sparging/model.py b/src/sparging/model.py index c3fdb35..94fc5bd 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -140,10 +140,6 @@ class Simulation: signal_sparging: callable[pint.Quantity] profile_source_T: callable[pint.Quantity] | None = None - def __post_init__(self): - if self.profile_source_T is None: - self.profile_source_T = lambda x: 1 - def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None): # unpack pint.Quantities t_final = self.t_final.to("seconds").magnitude @@ -188,10 +184,18 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None h_l_const = dolfinx.fem.Constant(mesh, PETSc.ScalarType(h_l)) - # gen_T2 = dolfinx.fem.Constant( - # mesh, PETSc.ScalarType(source_T2) - # ) # generation term [mol T2 /m3/s] - gen_T2 = dolfinx.fem.Function(V_profile) + gen_T2_mag = dolfinx.fem.Constant( + mesh, source_T2 * self.signal_irr(0 * ureg.s) + ) # magnitude of the generation term + gen_T2 = None + if self.profile_source_T is not None: # spatially varying profile is provided + gen_T2_prof = dolfinx.fem.Function(V_profile) + gen_T2_prof.interpolate( + lambda x: x[0] * 0 + self.profile_source_T(x[0] * ureg.m) + ) + gen_T2 = gen_T2_mag * gen_T2_prof + else: # homogeneous generation + gen_T2 = gen_T2_mag # VARIATIONAL FORMULATION @@ -282,14 +286,7 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None # SOLVE t = 0 while t < t_final: - gen_T2.interpolate( - lambda x: ( - x[0] * 0 # why do I need to put x[0] at all cost??? - + self.profile_source_T(x[0] * ureg.m) - * source_T2 - * self.signal_irr(t * ureg.s) - ) - ) + gen_T2_mag.value = source_T2 * self.signal_irr(t * ureg.s) h_l_const.value = h_l * self.signal_sparging(t * ureg.s) """ utiliser ufl.conditional TODO""" From 853fd0ffb674d1d55d6d92b358eb6ce882805ba2 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Thu, 9 Apr 2026 17:28:16 -0400 Subject: [PATCH 078/121] added hydrostatic pressure profile --- example2.py | 4 +++- src/sparging/inputs.py | 1 + src/sparging/model.py | 31 ++++++++++++++++++++++++------- test/standard_input.json | 1 + test/test_solve.py | 1 + 5 files changed, 30 insertions(+), 8 deletions(-) diff --git a/example2.py b/example2.py index 3382f5c..1ebead9 100644 --- a/example2.py +++ b/example2.py @@ -21,7 +21,7 @@ geom = ColumnGeometry( area=0.2 * ureg.m**2, - height=1.0 * ureg.m, + height=10 * ureg.m, nozzle_diameter=0.001 * ureg.m, nb_nozzle=10 * ureg.dimensionless, ) @@ -62,6 +62,8 @@ def profile_source_T(z: pint.Quantity): t_final=3 * ureg.days, signal_irr=lambda t: 1 if t < 12 * ureg.hour else 0, signal_sparging=lambda t: 1, + profile_pressure_hydrostatic=False, + # profile_source_T=profile_source_T, ) output = my_simulation.solve() diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index b61b7e4..efe2b33 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -70,6 +70,7 @@ class SimulationInput: h_l: pint.Quantity K_s: pint.Quantity P_bottom: pint.Quantity + rho_l: pint.Quantity eps_g: pint.Quantity E_g: pint.Quantity D_l: pint.Quantity diff --git a/src/sparging/model.py b/src/sparging/model.py index 94fc5bd..9d1d6b2 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -16,7 +16,7 @@ import json from pathlib import Path -from sparging.config import ureg +from sparging.config import ureg, const_g from sparging.inputs import SimulationInput @@ -139,6 +139,13 @@ class Simulation: signal_irr: callable[pint.Quantity] signal_sparging: callable[pint.Quantity] profile_source_T: callable[pint.Quantity] | None = None + profile_pressure_hydrostatic: bool = False + + def hydrostatic_pressure(self, x: pint.Quantity) -> pint.Quantity: + """returns the hydrostatic pressure at a given height x in the tank given P_bottom""" + rho = self.sim_input.rho_l + g = const_g + return (self.sim_input.P_bottom + rho * g * x).to("Pa") def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None): # unpack pint.Quantities @@ -197,24 +204,34 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None else: # homogeneous generation gen_T2 = gen_T2_mag + P = None + if self.profile_pressure_hydrostatic: + P_prof = dolfinx.fem.Function(V_profile) + P_prof.interpolate( + lambda x: self.hydrostatic_pressure(x[0] * ureg.m).magnitude + ) + P = P_prof + else: + P = dolfinx.fem.Constant(mesh, PETSc.ScalarType(P_0)) + # VARIATIONAL FORMULATION # mass transfer rate J_T2 = ( - a * h_l_const * (c_T2 - K_s * (P_0 * y_T2 + EPS)) + a * h_l_const * (c_T2 - K_s * (P * y_T2 + EPS)) ) # TODO pressure shouldn't be a constant (use hydrostatic pressure profile), how to deal with this ? -> use fem.Expression ? F = 0 # variational formulation # transient terms F += eps_l * ((c_T2 - c_T2_n) / dt) * v_c * ufl.dx - F += eps_g * 1 / (const.R * T) * (P_0 * (y_T2 - y_T2_n) / dt) * v_y * ufl.dx + F += eps_g * 1 / (const.R * T) * (P * (y_T2 - y_T2_n) / dt) * v_y * ufl.dx # diffusion/dispersion terms #TODO shouldn't use D_l, transport of T in liquid is dominated by dispersive effects due to gas sparging, find dispersion coeff for steady liquid in gas bubbles F += eps_l * D_l * ufl.dot(ufl.grad(c_T2), ufl.grad(v_c)) * ufl.dx # NOTE remove diffusive term for gas for now for mass balance - # F += eps_g * E_g * ufl.dot(ufl.grad(P_0 * y_T2), ufl.grad(v_y)) * ufl.dx + # F += eps_g * E_g * ufl.dot(ufl.grad(P * y_T2), ufl.grad(v_y)) * ufl.dx # mass exchange (coupling term) F += J_T2 * v_c * ufl.dx - J_T2 * v_y * ufl.dx @@ -226,7 +243,7 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None F += ( 1 / (const.R * T) - * ufl.inner(ufl.dot(ufl.grad(P_0 * y_T2), vel), v_y) + * ufl.inner(ufl.dot(ufl.grad(P * y_T2), vel), v_y) * ufl.dx ) @@ -312,7 +329,7 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None flux_T2 = dolfinx.fem.assemble_scalar( dolfinx.fem.form( - tank_area * vel_x * P_0 / (const.R * T) * y_T2_post * ds(2) + tank_area * vel_x * P / (const.R * T) * y_T2_post * ds(2) ) ) # total T flux at the outlet [mol/s] @@ -330,7 +347,7 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None n = ufl.FacetNormal(mesh) flux_T2_inlet = dolfinx.fem.assemble_scalar( - dolfinx.fem.form(-E_g * ufl.inner(ufl.grad(P_0 * y_T2_post), n) * ds(1)) + dolfinx.fem.form(-E_g * ufl.inner(ufl.grad(P * y_T2_post), n) * ds(1)) ) # total T dispersive flux at the inlet [Pa T2 /s/m2] flux_T2_inlet *= 1 / (const.R * T) * T2_to_T # convert to mol T/s/m2 flux_T2_inlet *= tank_area # convert to mol T/s diff --git a/test/standard_input.json b/test/standard_input.json index 17b74fa..855b9a6 100644 --- a/test/standard_input.json +++ b/test/standard_input.json @@ -7,6 +7,7 @@ "h_l": "2.750e-05 m / s", "K_s": "6.366e-04 mol / m ** 3 / Pa", "P_bottom": "1.208e+05 Pa", + "rho_l": "1.991e+03 kg / m ** 3", "eps_g": "4.091e-04", "E_g": "1.111e-02 m ** 2 / s", "D_l": "2.857e-09 m ** 2 / s", diff --git a/test/test_solve.py b/test/test_solve.py index aceb223..fd3c6f0 100644 --- a/test/test_solve.py +++ b/test/test_solve.py @@ -13,6 +13,7 @@ temperature=600 * ureg.celsius, a=0.5 * ureg("1/m"), h_l=3e-5 * ureg("m/s"), + rho_l=2000 * ureg("kg/m^3"), K_s=1e-4 * ureg("mol/m**3/Pa"), P_bottom=1.2 * ureg.bar, eps_g=0.001 * ureg.dimensionless, From aab8a24b4b0e08320f00e79ae2abca99a0cecb58 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Mon, 13 Apr 2026 09:25:39 -0400 Subject: [PATCH 079/121] Added J_T2 in SimulationOutput --- example2.py => sparging101.py | 21 +++++++++--------- src/sparging/animation.py | 2 +- src/sparging/model.py | 41 ++++++++++++++++++++++++++--------- 3 files changed, 43 insertions(+), 21 deletions(-) rename example2.py => sparging101.py (80%) diff --git a/example2.py b/sparging101.py similarity index 80% rename from example2.py rename to sparging101.py index 1ebead9..e6cd626 100644 --- a/example2.py +++ b/sparging101.py @@ -21,7 +21,7 @@ geom = ColumnGeometry( area=0.2 * ureg.m**2, - height=10 * ureg.m, + height=1 * ureg.m, nozzle_diameter=0.001 * ureg.m, nb_nozzle=10 * ureg.dimensionless, ) @@ -59,20 +59,21 @@ def profile_source_T(z: pint.Quantity): my_simulation = Simulation( my_input, - t_final=3 * ureg.days, - signal_irr=lambda t: 1 if t < 12 * ureg.hour else 0, + t_final=5 * ureg.days, + signal_irr=lambda t: 1 if t < 8 * ureg.hour else 0, signal_sparging=lambda t: 1, profile_pressure_hydrostatic=False, # profile_source_T=profile_source_T, ) -output = my_simulation.solve() -# # save output to file -# output.profiles_to_csv(f"output_{tank_height}m.csv") +if __name__ == "__main__": + output = my_simulation.solve() -# # plot results -# from sparging import plotting -# plotting.plot_animation(output) + # # save output to file + # output.profiles_to_csv(f"output_{tank_height}m.csv") + # # plot results + # from sparging import plotting + # plotting.plot_animation(output) -animation.create_animation(output, show_activity=True) + animation.create_animation(output, show_activity=False) diff --git a/src/sparging/animation.py b/src/sparging/animation.py index c58ef5a..6baacfd 100644 --- a/src/sparging/animation.py +++ b/src/sparging/animation.py @@ -43,7 +43,7 @@ def __init__( self.x_y = results.x_y self.inventories_T2_salt = results.inventories_T2_salt self.source_T2 = ( - None if results.source_T2 is None else np.array(results.source_T2) + None if results.sources_T2 is None else np.array(results.sources_T2) ) self.fluxes_T2 = ( None if results.fluxes_T2 is None else np.array(results.fluxes_T2) diff --git a/src/sparging/model.py b/src/sparging/model.py index 9d1d6b2..6b66007 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -37,20 +37,24 @@ @dataclass -class SimulationResults: +class SimulationResults: # TODO implement pint in this class # TODO change list to np.array times: list c_T2_solutions: list y_T2_solutions: list + J_T2_solutions: list x_ct: np.ndarray x_y: np.ndarray inventories_T2_salt: np.ndarray - source_T2: list + sources_T2: list fluxes_T2: list sim_input: SimulationInput + dt: int | None = None + dx: int | None = None keys_to_ignore_results = [ # TODO do it the other way: keys_to_include_results "c_T2_solutions", "y_T2_solutions", + "J_T2_solutions", "x_ct", "x_y", "inventories_T2_salt", @@ -200,19 +204,28 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None gen_T2_prof.interpolate( lambda x: x[0] * 0 + self.profile_source_T(x[0] * ureg.m) ) - gen_T2 = gen_T2_mag * gen_T2_prof + integral_gen_T2 = dolfinx.fem.assemble_scalar( + dolfinx.fem.form(gen_T2_prof * ufl.dx) + ) else: # homogeneous generation - gen_T2 = gen_T2_mag + gen_T2_prof = dolfinx.fem.Constant( + mesh, PETSc.ScalarType(1.0 / tank_height) + ) + integral_gen_T2 = dolfinx.fem.Constant(mesh, PETSc.ScalarType(1.0)) + + gen_T2_prof_normalized = gen_T2_prof / integral_gen_T2 - P = None + gen_T2 = gen_T2_mag * gen_T2_prof_normalized + + P_prof = dolfinx.fem.Function(V_profile) if self.profile_pressure_hydrostatic: - P_prof = dolfinx.fem.Function(V_profile) P_prof.interpolate( lambda x: self.hydrostatic_pressure(x[0] * ureg.m).magnitude ) - P = P_prof else: - P = dolfinx.fem.Constant(mesh, PETSc.ScalarType(P_0)) + P_prof.interpolate(lambda x: x[0] * 0 + P_0) + + P = P_prof # VARIATIONAL FORMULATION @@ -296,6 +309,7 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None times = [] c_T2_solutions = [] y_T2_solutions = [] + J_T2_solutions = [] sources_T2 = [] fluxes_T2 = [] inventories_T2_salt = [] @@ -303,9 +317,9 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None # SOLVE t = 0 while t < t_final: + # update time-dependent terms gen_T2_mag.value = source_T2 * self.signal_irr(t * ureg.s) h_l_const.value = h_l * self.signal_sparging(t * ureg.s) - """ utiliser ufl.conditional TODO""" problem.solve() @@ -317,12 +331,16 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None c_T2_vals = u.x.array[ct_dofs][ct_sort_coords] y_T2_vals = u.x.array[y_dofs][y_sort_coords] + J_T2_vals = ( + a * h_l_const.value * (c_T2_vals - K_s * (P.x.array * y_T2_vals + EPS)) + ) # TODO there is a clever way of getting J_T2 for sure # store time and solution # TODO give units to the results times.append(t) c_T2_solutions.append(c_T2_vals.copy()) y_T2_solutions.append(y_T2_vals.copy()) + J_T2_solutions.append(J_T2_vals.copy()) sources_T2.append( source_T2 * self.signal_irr(t * ureg.s) * tank_volume ) # total T generation rate in the tank [mol/s] TODO useless: signal_irr is already given @@ -372,11 +390,14 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None times=times, c_T2_solutions=c_T2_solutions, y_T2_solutions=y_T2_solutions, + J_T2_solutions=J_T2_solutions, x_ct=x_ct, x_y=x_y, inventories_T2_salt=inventories_T2_salt, - source_T2=sources_T2, + sources_T2=sources_T2, fluxes_T2=fluxes_T2, sim_input=self.sim_input, + dt=dt, + dx=dx, ) return results From a7f442c8bf0f8976bdfacede5877215f799b5eab Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Mon, 13 Apr 2026 11:26:24 -0400 Subject: [PATCH 080/121] Added liquid phase dispersion E_l + updated test -> got a dispersion problem, need to fix BCs --- sparging101.py | 4 ++-- src/sparging/correlations.py | 25 ++++++++++++++++--------- src/sparging/inputs.py | 2 ++ src/sparging/model.py | 9 ++++----- test/standard_input.json | 1 + test/test_solve.py | 1 + 6 files changed, 26 insertions(+), 16 deletions(-) diff --git a/sparging101.py b/sparging101.py index e6cd626..8d1e8b3 100644 --- a/sparging101.py +++ b/sparging101.py @@ -60,7 +60,7 @@ def profile_source_T(z: pint.Quantity): my_simulation = Simulation( my_input, t_final=5 * ureg.days, - signal_irr=lambda t: 1 if t < 8 * ureg.hour else 0, + signal_irr=lambda t: 1 if t < 3 * ureg.days else 0, signal_sparging=lambda t: 1, profile_pressure_hydrostatic=False, # profile_source_T=profile_source_T, @@ -76,4 +76,4 @@ def profile_source_T(z: pint.Quantity): # from sparging import plotting # plotting.plot_animation(output) - animation.create_animation(output, show_activity=False) + animation.create_animation(output, show_activity=True) diff --git a/src/sparging/correlations.py b/src/sparging/correlations.py index 9f8f09b..a586593 100644 --- a/src/sparging/correlations.py +++ b/src/sparging/correlations.py @@ -30,6 +30,7 @@ class CorrelationType(enum.Enum): # TODO do we really use it ? REYNOLDS_NUMBER = "Re" BUBBLE_VELOCITY = "u_g0" GAS_PHASE_DISPERSION = "E_g" + LIQUID_PHASE_DISPERSION = "E_l" PRESSURE = "P" FLOW_RATE = "flow_g_mol" INTERFACIAL_AREA = "a" @@ -306,10 +307,23 @@ def __contains__(self, key: str | Correlation): ) all_correlations.append(h_l_briggs) +E_l = Correlation( + identifier="E_l", + function=lambda tank_diameter, u_g0: ureg.Quantity( + 0.678 * tank_diameter.magnitude**1.4 * u_g0.magnitude**0.3, "m**2/s" + ), # liquid phase axial dispersion coefficient + corr_type=CorrelationType.LIQUID_PHASE_DISPERSION, + source="Deckwer 1974", + description="liquid phase axial dispersion coefficient, assumed equal to diffusivity of tritium in liquid FLiBe", + input_units=["m", "m/s"], + output_units="m**2/s", +) +all_correlations.append(E_l) + E_g = Correlation( identifier="E_g", - function=lambda tank_diameter, u_g0: get_E_g( - diameter=tank_diameter, u_g=u_g0 + function=lambda tank_diameter, u_g0: ( + 0.2 * ureg("1/m") * tank_diameter**2 * u_g0 ), # gas phase axial dispersion coefficient corr_type=CorrelationType.GAS_PHASE_DISPERSION, source="Malara 1995", @@ -474,10 +488,3 @@ def get_h_briggs(Re: float, Sc: float, D_l: float, d_b: float) -> float: Sh = 0.089 * Re**0.69 * Sc**0.33 # Sherwood number h_l = Sh * D_l / d_b return h_l - - -def get_E_g(diameter: float, u_g: float) -> float: - """gas phase axial dispersion coefficient [m2/s], Malara 1995 correlation - models dispersion of the gas velocity distribution around the mean bubble velocity""" - E_g = 0.2 * ureg("1/m") * diameter**2 * u_g - return E_g diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index efe2b33..8ac91dc 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -57,6 +57,7 @@ class SpargingParameters: d_b: pint.Quantity | Correlation | None = None rho_g: pint.Quantity | Correlation | None = None E_g: pint.Quantity | Correlation | None = None + E_l: pint.Quantity | Correlation | None = None a: pint.Quantity | Correlation | None = None @@ -73,6 +74,7 @@ class SimulationInput: rho_l: pint.Quantity eps_g: pint.Quantity E_g: pint.Quantity + E_l: pint.Quantity D_l: pint.Quantity source_T: pint.Quantity diff --git a/src/sparging/model.py b/src/sparging/model.py index 6b66007..484c118 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -164,7 +164,8 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None T = self.sim_input.temperature.to("K").magnitude eps_g = self.sim_input.eps_g.to("dimensionless").magnitude E_g = self.sim_input.E_g.to("m**2/s").magnitude - D_l = self.sim_input.D_l.to("m**2/s").magnitude + E_l = self.sim_input.E_l.to("m**2/s").magnitude + D_l = self.sim_input.D_l.to("m**2/s").magnitude # not needed (included in h_l) u_g0 = self.sim_input.u_g0.to("m/s").magnitude source_T2 = self.sim_input.source_T.to("molT2/s/m**3").magnitude @@ -240,10 +241,8 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None F += eps_l * ((c_T2 - c_T2_n) / dt) * v_c * ufl.dx F += eps_g * 1 / (const.R * T) * (P * (y_T2 - y_T2_n) / dt) * v_y * ufl.dx - # diffusion/dispersion terms #TODO shouldn't use D_l, transport of T in liquid is dominated by dispersive effects due to gas sparging, find dispersion coeff for steady liquid in gas bubbles - F += eps_l * D_l * ufl.dot(ufl.grad(c_T2), ufl.grad(v_c)) * ufl.dx - - # NOTE remove diffusive term for gas for now for mass balance + # dispersive terms NOTE removed dispersive terms for now for mass balance + # F += eps_l * E_l * ufl.dot(ufl.grad(c_T2), ufl.grad(v_c)) * ufl.dx # F += eps_g * E_g * ufl.dot(ufl.grad(P * y_T2), ufl.grad(v_y)) * ufl.dx # mass exchange (coupling term) diff --git a/test/standard_input.json b/test/standard_input.json index 855b9a6..77f4c5f 100644 --- a/test/standard_input.json +++ b/test/standard_input.json @@ -10,6 +10,7 @@ "rho_l": "1.991e+03 kg / m ** 3", "eps_g": "4.091e-04", "E_g": "1.111e-02 m ** 2 / s", + "E_l": "1.648e-01 m ** 2 / s", "D_l": "2.857e-09 m ** 2 / s", "source_T": "8.303e-16 molT / m ** 3 / s" } \ No newline at end of file diff --git a/test/test_solve.py b/test/test_solve.py index fd3c6f0..2894840 100644 --- a/test/test_solve.py +++ b/test/test_solve.py @@ -18,6 +18,7 @@ P_bottom=1.2 * ureg.bar, eps_g=0.001 * ureg.dimensionless, E_g=1e-2 * ureg("m^2/s"), + E_l=1e-1 * ureg("m^2/s"), D_l=3e-9 * ureg("m^2/s"), source_T=8e-16 * ureg("molT/m^3/s"), ) From 42ea13b5f30a09d3b3ea50475874fdf235bbc79e Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Mon, 13 Apr 2026 16:38:24 -0400 Subject: [PATCH 081/121] fixed inventory dependance on tank height (missing factor when integrating) --- src/sparging/model.py | 35 ++++++++++++++++++++++------------- 1 file changed, 22 insertions(+), 13 deletions(-) diff --git a/src/sparging/model.py b/src/sparging/model.py index 484c118..7ad8bec 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -216,7 +216,9 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None gen_T2_prof_normalized = gen_T2_prof / integral_gen_T2 - gen_T2 = gen_T2_mag * gen_T2_prof_normalized + gen_T2 = ( + gen_T2_mag * gen_T2_prof_normalized + ) # so that integral over volume of gen_T2 = source_T2 P_prof = dolfinx.fem.Function(V_profile) if self.profile_pressure_hydrostatic: @@ -270,12 +272,12 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None dolfinx.fem.Constant(mesh, 0.0), dolfinx.fem.locate_dofs_topological(V.sub(1), fdim, gas_inlet_facets), V.sub(1), - ) + ) # y_T2 = 0 at gas inlet bc2 = dolfinx.fem.dirichletbc( dolfinx.fem.Constant(mesh, 0.0), dolfinx.fem.locate_dofs_topological(V.sub(0), fdim, gas_outlet_facets), V.sub(0), - ) + ) # c_T2 = 0 at gas outlet TODO should apply Neumann BC rather # Custom measure all_facets = np.concatenate((gas_inlet_facets, gas_outlet_facets)) @@ -344,12 +346,18 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None source_T2 * self.signal_irr(t * ureg.s) * tank_volume ) # total T generation rate in the tank [mol/s] TODO useless: signal_irr is already given + n = ufl.FacetNormal(mesh) + + # flux_T2 = dolfinx.fem.assemble_scalar( + # dolfinx.fem.form( + # eps_g * vel_x * P / (const.R * T) * y_T2_post * tank_area * ds(2) + # ) + # ) # total T flux at the outlet [mol/s] flux_T2 = dolfinx.fem.assemble_scalar( dolfinx.fem.form( - tank_area * vel_x * P / (const.R * T) * y_T2_post * ds(2) + vel_x * P / (const.R * T) * y_T2_post * tank_area * ds(2) ) - ) # total T flux at the outlet [mol/s] - + ) # flux_T_inlet = dolfinx.fem.assemble_scalar( # dolfinx.fem.form( # tank_area @@ -362,18 +370,19 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None # ) # ) # total T dispersive flux at the inlet [mol/s] - n = ufl.FacetNormal(mesh) - flux_T2_inlet = dolfinx.fem.assemble_scalar( - dolfinx.fem.form(-E_g * ufl.inner(ufl.grad(P * y_T2_post), n) * ds(1)) - ) # total T dispersive flux at the inlet [Pa T2 /s/m2] - flux_T2_inlet *= 1 / (const.R * T) * T2_to_T # convert to mol T/s/m2 - flux_T2_inlet *= tank_area # convert to mol T/s + # flux_T2_inlet = dolfinx.fem.assemble_scalar( + # dolfinx.fem.form(-E_g * ufl.inner(ufl.grad(P * y_T2_post), n) * ds(1)) + # ) # total T dispersive flux at the inlet [Pa T2 /s/m2] + # flux_T2_inlet *= 1 / (const.R * T) * T2_to_T # convert to mol T/s/m2 + # flux_T2_inlet *= tank_area # convert to mol T/s # fluxes_T2.append(flux_T2 + flux_T2_inlet) fluxes_T2.append(flux_T2) inventory_T2_salt = dolfinx.fem.assemble_scalar( - dolfinx.fem.form(c_T2_post * ufl.dx) + dolfinx.fem.form( + c_T2_post * tank_height * ufl.dx + ) # NOTE looks like dx € [0,1], inventory should be constant no matter the height when specifying tbr and n_gen_rate ) inventory_T2_salt *= tank_area # get total amount of T2 in [mol] inventories_T2_salt.append(inventory_T2_salt) From d6d61300e86323ee7125c3736ced5d64ef91fd11 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Mon, 13 Apr 2026 17:40:58 -0400 Subject: [PATCH 082/121] fixed inventory dependance on tank height (truly this time) by making distinction between normalized and integral source_T --- sparging101.py | 22 ++++++++++++++-------- src/sparging/correlations.py | 6 +++--- src/sparging/inputs.py | 8 ++++++-- src/sparging/model.py | 31 +++++++++++-------------------- 4 files changed, 34 insertions(+), 33 deletions(-) diff --git a/sparging101.py b/sparging101.py index 8d1e8b3..a9a8452 100644 --- a/sparging101.py +++ b/sparging101.py @@ -21,7 +21,7 @@ geom = ColumnGeometry( area=0.2 * ureg.m**2, - height=1 * ureg.m, + height=0.1 * ureg.m, nozzle_diameter=0.001 * ureg.m, nb_nozzle=10 * ureg.dimensionless, ) @@ -42,26 +42,28 @@ h_l=all_correlations("h_l_briggs"), ) - # class method from_parameters that takes in objects like ColumnGeometry, BreederMaterial, OperatingParameters and returns a SimulationInput object with the appropriate correlations for the given parameters. This method should be able to handle cases where some of the parameters are already provided as correlations and should not overwrite them. my_input = SimulationInput.from_parameters( geom, flibe, operating_params, sparging_params ) logger.info(my_input) +print(my_input.source_T_norm) +print(my_input.source_T_int.to("molT/s")) + def profile_source_T(z: pint.Quantity): import numpy as np - # return np.sin(np.pi / (1 * ureg.m) * z) - return 0.5 * (1 + np.cos(0.5 * np.pi / (1 * ureg.m) * z)) + return np.sin(np.pi / (1 * ureg.m) * z) + # return 0.5 * (1 + np.cos(0.5 * np.pi / (1 * ureg.m) * z)) my_simulation = Simulation( my_input, - t_final=5 * ureg.days, - signal_irr=lambda t: 1 if t < 3 * ureg.days else 0, - signal_sparging=lambda t: 1, + t_final=200 * ureg.s, + signal_irr=lambda t: 1 if t < 100 * ureg.s else 0, + signal_sparging=lambda t: 0, profile_pressure_hydrostatic=False, # profile_source_T=profile_source_T, ) @@ -76,4 +78,8 @@ def profile_source_T(z: pint.Quantity): # from sparging import plotting # plotting.plot_animation(output) - animation.create_animation(output, show_activity=True) + # import matplotlib.pyplot as plt + + # plt.plot(output.times, output.inventories_T2_salt) + # plt.show() + # animation.create_animation(output, show_activity=False) diff --git a/src/sparging/correlations.py b/src/sparging/correlations.py index a586593..6dd8c59 100644 --- a/src/sparging/correlations.py +++ b/src/sparging/correlations.py @@ -393,8 +393,8 @@ def __contains__(self, key: str | Correlation): ) all_correlations.append(specific_interfacial_area) -source_T_from_tbr = Correlation( - identifier="source_T", +source_T_normalized = Correlation( + identifier="source_T_norm", function=lambda tbr, n_gen_rate, tank_volume: ( tbr * n_gen_rate / tank_volume ), # source term for tritium generation calculated from TBR and neutron generation rate @@ -402,7 +402,7 @@ def __contains__(self, key: str | Correlation): input_units=["triton/neutron", "neutron/s", "m**3"], output_units="molT/m**3/s", ) -all_correlations.append(source_T_from_tbr) +all_correlations.append(source_T_normalized) def get_d_b( diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index 8ac91dc..a545237 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -46,7 +46,7 @@ class OperatingParameters: P_bottom: pint.Quantity | Correlation | None = None tbr: pint.Quantity | None = None n_gen_rate: pint.Quantity | None = None - source_T: pint.Quantity | Correlation | None = None + source_T_norm: pint.Quantity | Correlation | None = None @dataclass @@ -76,12 +76,16 @@ class SimulationInput: E_g: pint.Quantity E_l: pint.Quantity D_l: pint.Quantity - source_T: pint.Quantity + source_T_norm: pint.Quantity @property def volume(self): return self.area * self.height + @property + def source_T_int(self): + return self.source_T_norm * self.volume + def __post_init__(self): # make sure there are only pint.Quantity or callables in the input, otherwise raise an error for key in self.__dataclass_fields__.keys(): diff --git a/src/sparging/model.py b/src/sparging/model.py index 7ad8bec..82e9c0b 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -167,7 +167,7 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None E_l = self.sim_input.E_l.to("m**2/s").magnitude D_l = self.sim_input.D_l.to("m**2/s").magnitude # not needed (included in h_l) u_g0 = self.sim_input.u_g0.to("m/s").magnitude - source_T2 = self.sim_input.source_T.to("molT2/s/m**3").magnitude + source_T2_norm = self.sim_input.source_T_norm.to("molT2/s/m**3").magnitude dt = dt.to("seconds").magnitude if dt is not None else t_final / 1000 dx = dx.to("m").magnitude if dx is not None else tank_height / 1000 @@ -196,29 +196,22 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None h_l_const = dolfinx.fem.Constant(mesh, PETSc.ScalarType(h_l)) - gen_T2_mag = dolfinx.fem.Constant( - mesh, source_T2 * self.signal_irr(0 * ureg.s) + gen_T2_norm = dolfinx.fem.Constant( + mesh, source_T2_norm * self.signal_irr(0 * ureg.s) ) # magnitude of the generation term - gen_T2 = None + if self.profile_source_T is not None: # spatially varying profile is provided gen_T2_prof = dolfinx.fem.Function(V_profile) gen_T2_prof.interpolate( lambda x: x[0] * 0 + self.profile_source_T(x[0] * ureg.m) ) - integral_gen_T2 = dolfinx.fem.assemble_scalar( - dolfinx.fem.form(gen_T2_prof * ufl.dx) - ) else: # homogeneous generation - gen_T2_prof = dolfinx.fem.Constant( - mesh, PETSc.ScalarType(1.0 / tank_height) - ) - integral_gen_T2 = dolfinx.fem.Constant(mesh, PETSc.ScalarType(1.0)) - - gen_T2_prof_normalized = gen_T2_prof / integral_gen_T2 + gen_T2_prof = dolfinx.fem.Constant(mesh, PETSc.ScalarType(1.0)) gen_T2 = ( - gen_T2_mag * gen_T2_prof_normalized - ) # so that integral over volume of gen_T2 = source_T2 + gen_T2_norm * gen_T2_prof + ) # gen_T2_norm is already mormalized by tank volume + # user can choose to specify a normalized profile_source_T so that mean(gen_T2) = gen_T2_norm = 0.5 * source_T_norm P_prof = dolfinx.fem.Function(V_profile) if self.profile_pressure_hydrostatic: @@ -319,7 +312,7 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None t = 0 while t < t_final: # update time-dependent terms - gen_T2_mag.value = source_T2 * self.signal_irr(t * ureg.s) + gen_T2_norm.value = source_T2_norm * self.signal_irr(t * ureg.s) h_l_const.value = h_l * self.signal_sparging(t * ureg.s) problem.solve() @@ -343,7 +336,7 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None y_T2_solutions.append(y_T2_vals.copy()) J_T2_solutions.append(J_T2_vals.copy()) sources_T2.append( - source_T2 * self.signal_irr(t * ureg.s) * tank_volume + source_T2_norm * self.signal_irr(t * ureg.s) * tank_volume ) # total T generation rate in the tank [mol/s] TODO useless: signal_irr is already given n = ufl.FacetNormal(mesh) @@ -380,9 +373,7 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None fluxes_T2.append(flux_T2) inventory_T2_salt = dolfinx.fem.assemble_scalar( - dolfinx.fem.form( - c_T2_post * tank_height * ufl.dx - ) # NOTE looks like dx € [0,1], inventory should be constant no matter the height when specifying tbr and n_gen_rate + dolfinx.fem.form(c_T2_post * ufl.dx) ) inventory_T2_salt *= tank_area # get total amount of T2 in [mol] inventories_T2_salt.append(inventory_T2_salt) From 5c45de6091e1322a7e40878c24aba1bd61970d72 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Mon, 13 Apr 2026 17:50:20 -0400 Subject: [PATCH 083/121] LIBRA 1L model --- sparging_LIBRA1L.py | 76 +++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 76 insertions(+) create mode 100644 sparging_LIBRA1L.py diff --git a/sparging_LIBRA1L.py b/sparging_LIBRA1L.py new file mode 100644 index 0000000..0fa2c77 --- /dev/null +++ b/sparging_LIBRA1L.py @@ -0,0 +1,76 @@ +from sparging.config import ureg +from sparging import all_correlations +from sparging import animation +from sparging.model import Simulation +from sparging.inputs import ( + ColumnGeometry, + BreederMaterial, + OperatingParameters, + SpargingParameters, + SimulationInput, +) +import logging +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + import pint + +logger = logging.getLogger(__name__) +logging.basicConfig(level=logging.WARNING) + +geom = ColumnGeometry( + area=170 * ureg.cm**2, + height=7 * ureg.cm, + nozzle_diameter=1.4 * ureg.mm, + nb_nozzle=1 * ureg.dimensionless, +) + +flibe = BreederMaterial( + name="FLiBe", +) + +operating_params = OperatingParameters( + temperature=600 * ureg.celsius, + P_top=1 * ureg.atm, + flow_g_mol=40 * ureg.sccm, + tbr=2e-3 * ureg("triton / neutron"), + n_gen_rate=1e9 * ureg("neutron / s"), +) + +sparging_params = SpargingParameters( + h_l=all_correlations("h_l_briggs"), +) + +# class method from_parameters that takes in objects like ColumnGeometry, BreederMaterial, OperatingParameters and returns a SimulationInput object with the appropriate correlations for the given parameters. This method should be able to handle cases where some of the parameters are already provided as correlations and should not overwrite them. +my_input = SimulationInput.from_parameters( + geom, flibe, operating_params, sparging_params +) +logger.info(my_input) +print(my_input.source_T_norm) +print(my_input.source_T_int.to("molT/s")) + +n_fluence = 2.5e13 * ureg("neutron") +n_gen_rate = operating_params.n_gen_rate +t_irr = n_fluence / n_gen_rate +print(f"t_irr = {t_irr.to('seconds')}") +my_simulation = Simulation( + my_input, + t_final=50 * ureg.days, + signal_irr=lambda t: 1 if t < t_irr else 0, + signal_sparging=lambda t: 0 if t < t_irr else 1, + # signal_sparging=lambda t: 0, + profile_pressure_hydrostatic=False, + profile_source_T=lambda z: 1, +) + +if __name__ == "__main__": + output = my_simulation.solve() + + # # save output to file + # output.profiles_to_csv(f"output_{tank_height}m.csv") + + # # plot results + # from sparging import plotting + # plotting.plot_animation(output) + + animation.create_animation(output, show_activity=False) From 901c0950f16620816fa8c3e1959f78b6c5341b5e Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Wed, 15 Apr 2026 15:07:27 -0400 Subject: [PATCH 084/121] re-introduced dispersion terms, with neumann BC, mass conservation should be satisfied now --- src/sparging/model.py | 48 +++++++++++++++++++++++++++---------------- 1 file changed, 30 insertions(+), 18 deletions(-) diff --git a/src/sparging/model.py b/src/sparging/model.py index 82e9c0b..89bfdbd 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -203,11 +203,12 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None if self.profile_source_T is not None: # spatially varying profile is provided gen_T2_prof = dolfinx.fem.Function(V_profile) gen_T2_prof.interpolate( - lambda x: x[0] * 0 + self.profile_source_T(x[0] * ureg.m) + lambda x: x[0] * 0 + self.profile_source_T(x[0] / tank_height) ) else: # homogeneous generation gen_T2_prof = dolfinx.fem.Constant(mesh, PETSc.ScalarType(1.0)) + # if self.sim_input.normalize_source_T: gen_T2 = ( gen_T2_norm * gen_T2_prof ) # gen_T2_norm is already mormalized by tank volume @@ -236,9 +237,17 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None F += eps_l * ((c_T2 - c_T2_n) / dt) * v_c * ufl.dx F += eps_g * 1 / (const.R * T) * (P * (y_T2 - y_T2_n) / dt) * v_y * ufl.dx - # dispersive terms NOTE removed dispersive terms for now for mass balance - # F += eps_l * E_l * ufl.dot(ufl.grad(c_T2), ufl.grad(v_c)) * ufl.dx - # F += eps_g * E_g * ufl.dot(ufl.grad(P * y_T2), ufl.grad(v_y)) * ufl.dx + # dispersive terms + F += eps_l * E_l * ufl.dot(ufl.grad(c_T2), ufl.grad(v_c)) * ufl.dx + F += ( + eps_g + * E_g + * 1 + / (const.R * T) + * ufl.dot(ufl.grad(P * y_T2), ufl.grad(v_y)) + * ufl.dx + ) + # there was missing 1/RT # mass exchange (coupling term) F += J_T2 * v_c * ufl.dx - J_T2 * v_y * ufl.dx @@ -266,11 +275,11 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None dolfinx.fem.locate_dofs_topological(V.sub(1), fdim, gas_inlet_facets), V.sub(1), ) # y_T2 = 0 at gas inlet - bc2 = dolfinx.fem.dirichletbc( - dolfinx.fem.Constant(mesh, 0.0), - dolfinx.fem.locate_dofs_topological(V.sub(0), fdim, gas_outlet_facets), - V.sub(0), - ) # c_T2 = 0 at gas outlet TODO should apply Neumann BC rather + # bc2 = dolfinx.fem.dirichletbc( + # dolfinx.fem.Constant(mesh, 0.0), + # dolfinx.fem.locate_dofs_topological(V.sub(0), fdim, gas_outlet_facets), + # V.sub(0), + # ) # c_T2 = 0 at gas outlet # Custom measure all_facets = np.concatenate((gas_inlet_facets, gas_outlet_facets)) @@ -284,7 +293,8 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None problem = NonlinearProblem( F, u, - bcs=[bc1, bc2], + # bcs=[bc1, bc2], + bcs=[bc1], # Neumann BCs on c_T2 at inlet and outlet are naturally enforced petsc_options_prefix="librasparge", # petsc_options={"snes_monitor": None}, ) @@ -350,7 +360,7 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None dolfinx.fem.form( vel_x * P / (const.R * T) * y_T2_post * tank_area * ds(2) ) - ) + ) # TODO replace with integral of J over volume # flux_T_inlet = dolfinx.fem.assemble_scalar( # dolfinx.fem.form( # tank_area @@ -363,14 +373,16 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None # ) # ) # total T dispersive flux at the inlet [mol/s] - # flux_T2_inlet = dolfinx.fem.assemble_scalar( - # dolfinx.fem.form(-E_g * ufl.inner(ufl.grad(P * y_T2_post), n) * ds(1)) - # ) # total T dispersive flux at the inlet [Pa T2 /s/m2] - # flux_T2_inlet *= 1 / (const.R * T) * T2_to_T # convert to mol T/s/m2 - # flux_T2_inlet *= tank_area # convert to mol T/s + flux_T2_inlet = dolfinx.fem.assemble_scalar( + dolfinx.fem.form( + -eps_g * E_g * ufl.inner(ufl.grad(P * y_T2_post), n) * ds(1) + ) + ) # total T dispersive flux at the inlet [Pa T2 /s/m2] + flux_T2_inlet *= 1 / (const.R * T) # mol T2/s/m2 + flux_T2_inlet *= tank_area # convert to molT2/s - # fluxes_T2.append(flux_T2 + flux_T2_inlet) - fluxes_T2.append(flux_T2) + fluxes_T2.append(flux_T2 + flux_T2_inlet) + # fluxes_T2.append(flux_T2) inventory_T2_salt = dolfinx.fem.assemble_scalar( dolfinx.fem.form(c_T2_post * ufl.dx) From 6bdae661a1cd82f10db53f61ed4782feefc0cb45 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Wed, 15 Apr 2026 17:05:51 -0400 Subject: [PATCH 085/121] added quantities of the analytical model in SimulationInput --- sparging101.py | 32 +++++++++++++++++++++++++------- src/sparging/correlations.py | 2 +- src/sparging/inputs.py | 31 ++++++++++++++++++++++++++++++- src/sparging/model.py | 1 - 4 files changed, 56 insertions(+), 10 deletions(-) diff --git a/sparging101.py b/sparging101.py index a9a8452..2f13823 100644 --- a/sparging101.py +++ b/sparging101.py @@ -11,6 +11,7 @@ ) import logging from typing import TYPE_CHECKING +import numpy as np if TYPE_CHECKING: import pint @@ -21,7 +22,7 @@ geom = ColumnGeometry( area=0.2 * ureg.m**2, - height=0.1 * ureg.m, + height=2 * ureg.m, nozzle_diameter=0.001 * ureg.m, nb_nozzle=10 * ureg.dimensionless, ) @@ -50,25 +51,42 @@ print(my_input.source_T_norm) print(my_input.source_T_int.to("molT/s")) +print( + f"Concentration at steady state (no dispersion, no PP limited): { + my_input.get_c_T2_SS().to('molT2/m^3') + }" +) +T_99 = (np.log(100) * my_input.get_tau()).to("seconds") +print(f"T_99% = {T_99.to('hours')}") +print(f"Partial pressure number PP = {my_input.get_PP_number()}") -def profile_source_T(z: pint.Quantity): +def profile_source_T(z: pint.Quantity | list[float], height: pint.Quantity = None): import numpy as np - return np.sin(np.pi / (1 * ureg.m) * z) + if isinstance(z, (float, np.ndarray, list)): # non-dimensional height (0 to 1) + return np.pi / 2 * np.sin(np.pi * z) # normalized + if isinstance(z, ureg.Quantity): + if height is None: + raise ValueError("Must provide height if z is a dimensional quantity") + return np.pi / 2 * np.sin(np.pi / height * z) # normalized + else: + raise NotImplementedError("z must be either a float or a pint.Quantity") # return 0.5 * (1 + np.cos(0.5 * np.pi / (1 * ureg.m) * z)) my_simulation = Simulation( my_input, - t_final=200 * ureg.s, - signal_irr=lambda t: 1 if t < 100 * ureg.s else 0, - signal_sparging=lambda t: 0, + t_final=2 * T_99, + signal_irr=lambda t: 1 if t < T_99 else 0, + signal_sparging=lambda t: 1, profile_pressure_hydrostatic=False, # profile_source_T=profile_source_T, ) if __name__ == "__main__": + # my_simulation.sim_input.E_g *= 1e5 + # my_simulation.sim_input.E_l *= 1e-5 output = my_simulation.solve() # # save output to file @@ -82,4 +100,4 @@ def profile_source_T(z: pint.Quantity): # plt.plot(output.times, output.inventories_T2_salt) # plt.show() - # animation.create_animation(output, show_activity=False) + animation.create_animation(output, show_activity=False) diff --git a/src/sparging/correlations.py b/src/sparging/correlations.py index 6dd8c59..7d41f32 100644 --- a/src/sparging/correlations.py +++ b/src/sparging/correlations.py @@ -393,7 +393,7 @@ def __contains__(self, key: str | Correlation): ) all_correlations.append(specific_interfacial_area) -source_T_normalized = Correlation( +source_T_normalized = Correlation( # TODO remettre source_T identifier="source_T_norm", function=lambda tbr, n_gen_rate, tank_volume: ( tbr * n_gen_rate / tank_volume diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index a545237..29efe89 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -5,6 +5,7 @@ import inspect import numpy as np import logging +from sparging.config import const_R logger = logging.getLogger(__name__) @@ -77,15 +78,43 @@ class SimulationInput: E_l: pint.Quantity D_l: pint.Quantity source_T_norm: pint.Quantity + # normalize_source_T: bool = True @property def volume(self): return self.area * self.height @property - def source_T_int(self): + def eps_l(self): + return 1 - self.eps_g + + @property # TODO enlever, inutile + def source_T_int(self): # rename Q_T2 return self.source_T_norm * self.volume + def set_S_T2(self, val: pint.Quantity): # TODO to use + self.Q_T2 = (val.to("molT2/m**3/s") * self.volume).to("molT2/s") + + def get_tau(self) -> pint.Quantity: + """characteristic time of the sparger under the small partial pressure (SPP) approximation""" + return (self.eps_l / (self.h_l * self.a)).to("seconds") + + def get_c_T2_SS(self) -> pint.Quantity: + return (self.source_T_int / self.volume * 1 / (self.h_l * self.a)).to( + "molT2/m^3" + ) + + def get_PP_number(self) -> pint.Quantity: + """Partial pressure number, ratio of the equivalent T concentration at liquid boundary to the bulk liquid concentration. + If PP << 1, then we are in the small partial pressure (SPP) regime, and if PP ~= 1, then we are in the partial pressure limited (PPL) regime. + """ + return ( + self.K_s + * (const_R * self.temperature) + * self.height + / (self.get_tau() * self.u_g0) + ).to("dimensionless") + def __post_init__(self): # make sure there are only pint.Quantity or callables in the input, otherwise raise an error for key in self.__dataclass_fields__.keys(): diff --git a/src/sparging/model.py b/src/sparging/model.py index 89bfdbd..8ae15cc 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -247,7 +247,6 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None * ufl.dot(ufl.grad(P * y_T2), ufl.grad(v_y)) * ufl.dx ) - # there was missing 1/RT # mass exchange (coupling term) F += J_T2 * v_c * ufl.dx - J_T2 * v_y * ufl.dx From 28504606c048be8e7c06710e5ae5cacd1775a943 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Thu, 16 Apr 2026 11:30:24 -0400 Subject: [PATCH 086/121] source normalization now based on integral source + added associated test + fast_run and dispersion_run options in model.py --- sparging101.py | 19 ++++++---- sparging_LIBRA1L.py | 4 +- src/sparging/correlations.py | 14 +++---- src/sparging/inputs.py | 17 ++++----- src/sparging/model.py | 71 +++++++++++++++++++++++------------- test/test_solve.py | 53 ++++++++++++++++++++++++++- 6 files changed, 126 insertions(+), 52 deletions(-) diff --git a/sparging101.py b/sparging101.py index 2f13823..3608656 100644 --- a/sparging101.py +++ b/sparging101.py @@ -22,7 +22,7 @@ geom = ColumnGeometry( area=0.2 * ureg.m**2, - height=2 * ureg.m, + height=1 * ureg.m, nozzle_diameter=0.001 * ureg.m, nb_nozzle=10 * ureg.dimensionless, ) @@ -49,8 +49,9 @@ ) logger.info(my_input) -print(my_input.source_T_norm) -print(my_input.source_T_int.to("molT/s")) +print(my_input.get_S_T()) +print(f"{my_input.Q_T.to('molT/s')} = {my_input.Q_T.to('molT2/hour')}") +print(my_input.volume.to("m^3")) print( f"Concentration at steady state (no dispersion, no PP limited): { my_input.get_c_T2_SS().to('molT2/m^3') @@ -65,8 +66,10 @@ def profile_source_T(z: pint.Quantity | list[float], height: pint.Quantity = Non import numpy as np if isinstance(z, (float, np.ndarray, list)): # non-dimensional height (0 to 1) - return np.pi / 2 * np.sin(np.pi * z) # normalized + # return np.pi / 2 * np.sin(np.pi * z) # normalized + return 1 + 1 * np.sin(np.pi * z) # not normalized if isinstance(z, ureg.Quantity): + assert False if height is None: raise ValueError("Must provide height if z is a dimensional quantity") return np.pi / 2 * np.sin(np.pi / height * z) # normalized @@ -75,19 +78,21 @@ def profile_source_T(z: pint.Quantity | list[float], height: pint.Quantity = Non # return 0.5 * (1 + np.cos(0.5 * np.pi / (1 * ureg.m) * z)) +T_99 = 1 * ureg.hour my_simulation = Simulation( my_input, t_final=2 * T_99, signal_irr=lambda t: 1 if t < T_99 else 0, - signal_sparging=lambda t: 1, + signal_sparging=lambda t: 0, profile_pressure_hydrostatic=False, - # profile_source_T=profile_source_T, + profile_source_T=profile_source_T, + dispersion_on=False, ) if __name__ == "__main__": # my_simulation.sim_input.E_g *= 1e5 # my_simulation.sim_input.E_l *= 1e-5 - output = my_simulation.solve() + output = my_simulation.solve(fast_solve=True) # # save output to file # output.profiles_to_csv(f"output_{tank_height}m.csv") diff --git a/sparging_LIBRA1L.py b/sparging_LIBRA1L.py index 0fa2c77..fe29bb7 100644 --- a/sparging_LIBRA1L.py +++ b/sparging_LIBRA1L.py @@ -46,8 +46,8 @@ geom, flibe, operating_params, sparging_params ) logger.info(my_input) -print(my_input.source_T_norm) -print(my_input.source_T_int.to("molT/s")) +print(my_input.get_S_T()) +print(my_input.Q_T.to("molT/s")) n_fluence = 2.5e13 * ureg("neutron") n_gen_rate = operating_params.n_gen_rate diff --git a/src/sparging/correlations.py b/src/sparging/correlations.py index 7d41f32..e8f4c0c 100644 --- a/src/sparging/correlations.py +++ b/src/sparging/correlations.py @@ -393,16 +393,16 @@ def __contains__(self, key: str | Correlation): ) all_correlations.append(specific_interfacial_area) -source_T_normalized = Correlation( # TODO remettre source_T - identifier="source_T_norm", - function=lambda tbr, n_gen_rate, tank_volume: ( - tbr * n_gen_rate / tank_volume +source_T_integral = Correlation( + identifier="Q_T", + function=lambda tbr, n_gen_rate: ( + tbr * n_gen_rate ), # source term for tritium generation calculated from TBR and neutron generation rate corr_type=CorrelationType.TRITIUM_SOURCE, - input_units=["triton/neutron", "neutron/s", "m**3"], - output_units="molT/m**3/s", + input_units=["triton/neutron", "neutron/s"], + output_units="molT/s", ) -all_correlations.append(source_T_normalized) +all_correlations.append(source_T_integral) def get_d_b( diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index 29efe89..2b0aa9a 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -47,7 +47,7 @@ class OperatingParameters: P_bottom: pint.Quantity | Correlation | None = None tbr: pint.Quantity | None = None n_gen_rate: pint.Quantity | None = None - source_T_norm: pint.Quantity | Correlation | None = None + Q_T: pint.Quantity | None = None @dataclass @@ -77,7 +77,7 @@ class SimulationInput: E_g: pint.Quantity E_l: pint.Quantity D_l: pint.Quantity - source_T_norm: pint.Quantity + Q_T: pint.Quantity # normalize_source_T: bool = True @property @@ -88,21 +88,18 @@ def volume(self): def eps_l(self): return 1 - self.eps_g - @property # TODO enlever, inutile - def source_T_int(self): # rename Q_T2 - return self.source_T_norm * self.volume + def set_S_T(self, val: pint.Quantity): + self.Q_T = (val.to("molT/m**3/s") * self.volume).to("molT/s") - def set_S_T2(self, val: pint.Quantity): # TODO to use - self.Q_T2 = (val.to("molT2/m**3/s") * self.volume).to("molT2/s") + def get_S_T(self) -> pint.Quantity: + return (self.Q_T / self.volume).to("molT/m**3/s") def get_tau(self) -> pint.Quantity: """characteristic time of the sparger under the small partial pressure (SPP) approximation""" return (self.eps_l / (self.h_l * self.a)).to("seconds") def get_c_T2_SS(self) -> pint.Quantity: - return (self.source_T_int / self.volume * 1 / (self.h_l * self.a)).to( - "molT2/m^3" - ) + return (self.get_S_T() * 1 / (self.h_l * self.a)).to("molT2/m^3") def get_PP_number(self) -> pint.Quantity: """Partial pressure number, ratio of the equivalent T concentration at liquid boundary to the bulk liquid concentration. diff --git a/src/sparging/model.py b/src/sparging/model.py index 8ae15cc..ed94606 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -143,7 +143,9 @@ class Simulation: signal_irr: callable[pint.Quantity] signal_sparging: callable[pint.Quantity] profile_source_T: callable[pint.Quantity] | None = None + """callable = f:[0,1] -> R+, it takes a dimensionless coordinate: (z / height)""" profile_pressure_hydrostatic: bool = False + dispersion_on: bool = True def hydrostatic_pressure(self, x: pint.Quantity) -> pint.Quantity: """returns the hydrostatic pressure at a given height x in the tank given P_bottom""" @@ -151,7 +153,12 @@ def hydrostatic_pressure(self, x: pint.Quantity) -> pint.Quantity: g = const_g return (self.sim_input.P_bottom + rho * g * x).to("Pa") - def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None): + def solve( + self, + dt: pint.Quantity | None = None, + dx: pint.Quantity | None = None, + fast_solve: bool = False, + ) -> SimulationResults: # unpack pint.Quantities t_final = self.t_final.to("seconds").magnitude tank_height = self.sim_input.height.to("m").magnitude @@ -167,10 +174,18 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None E_l = self.sim_input.E_l.to("m**2/s").magnitude D_l = self.sim_input.D_l.to("m**2/s").magnitude # not needed (included in h_l) u_g0 = self.sim_input.u_g0.to("m/s").magnitude - source_T2_norm = self.sim_input.source_T_norm.to("molT2/s/m**3").magnitude + Q_T2 = self.sim_input.Q_T.to("molT2/s").magnitude - dt = dt.to("seconds").magnitude if dt is not None else t_final / 1000 - dx = dx.to("m").magnitude if dx is not None else tank_height / 1000 + dt = ( + dt.to("seconds").magnitude + if dt is not None + else (t_final / 1000 if not fast_solve else t_final / 50) + ) + dx = ( + dx.to("m").magnitude + if dx is not None + else (tank_height / 1000 if not fast_solve else tank_height / 50) + ) eps_l = 1 - eps_g # MESH AND FUNCTION SPACES @@ -196,23 +211,27 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None h_l_const = dolfinx.fem.Constant(mesh, PETSc.ScalarType(h_l)) - gen_T2_norm = dolfinx.fem.Constant( - mesh, source_T2_norm * self.signal_irr(0 * ureg.s) + gen_T2_ave = dolfinx.fem.Constant( + mesh, Q_T2 / tank_volume * self.signal_irr(0 * ureg.s) ) # magnitude of the generation term if self.profile_source_T is not None: # spatially varying profile is provided - gen_T2_prof = dolfinx.fem.Function(V_profile) - gen_T2_prof.interpolate( + arbitrary_profile = dolfinx.fem.Function(V_profile) + arbitrary_profile.interpolate( lambda x: x[0] * 0 + self.profile_source_T(x[0] / tank_height) ) + profile_integral = dolfinx.fem.assemble_scalar( + dolfinx.fem.form( + arbitrary_profile * 1 / tank_height * ufl.dx # TODO + ) # dimensionless integral + ) + normalized_profile = ( + arbitrary_profile / profile_integral + ) # normalize profile so that its integral over the dimensionless height is 1 else: # homogeneous generation - gen_T2_prof = dolfinx.fem.Constant(mesh, PETSc.ScalarType(1.0)) + normalized_profile = dolfinx.fem.Constant(mesh, PETSc.ScalarType(1.0)) - # if self.sim_input.normalize_source_T: - gen_T2 = ( - gen_T2_norm * gen_T2_prof - ) # gen_T2_norm is already mormalized by tank volume - # user can choose to specify a normalized profile_source_T so that mean(gen_T2) = gen_T2_norm = 0.5 * source_T_norm + gen_T2 = gen_T2_ave * normalized_profile P_prof = dolfinx.fem.Function(V_profile) if self.profile_pressure_hydrostatic: @@ -238,15 +257,16 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None F += eps_g * 1 / (const.R * T) * (P * (y_T2 - y_T2_n) / dt) * v_y * ufl.dx # dispersive terms - F += eps_l * E_l * ufl.dot(ufl.grad(c_T2), ufl.grad(v_c)) * ufl.dx - F += ( - eps_g - * E_g - * 1 - / (const.R * T) - * ufl.dot(ufl.grad(P * y_T2), ufl.grad(v_y)) - * ufl.dx - ) + if self.dispersion_on is True: + F += eps_l * E_l * ufl.dot(ufl.grad(c_T2), ufl.grad(v_c)) * ufl.dx + F += ( + eps_g + * E_g + * 1 + / (const.R * T) + * ufl.dot(ufl.grad(P * y_T2), ufl.grad(v_y)) + * ufl.dx + ) # mass exchange (coupling term) F += J_T2 * v_c * ufl.dx - J_T2 * v_y * ufl.dx @@ -309,6 +329,7 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None y_sort_coords = np.argsort(coords) x_y = coords[y_sort_coords] + # TODO Initialize results storage with zeros -> there's an inconsistency: times[0] = 0 but inventories[0] != 0 -> screws comparison with analytical solutions times = [] c_T2_solutions = [] y_T2_solutions = [] @@ -321,7 +342,7 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None t = 0 while t < t_final: # update time-dependent terms - gen_T2_norm.value = source_T2_norm * self.signal_irr(t * ureg.s) + gen_T2_ave.value = Q_T2 / tank_volume * self.signal_irr(t * ureg.s) h_l_const.value = h_l * self.signal_sparging(t * ureg.s) problem.solve() @@ -345,7 +366,7 @@ def solve(self, dt: pint.Quantity | None = None, dx: pint.Quantity | None = None y_T2_solutions.append(y_T2_vals.copy()) J_T2_solutions.append(J_T2_vals.copy()) sources_T2.append( - source_T2_norm * self.signal_irr(t * ureg.s) * tank_volume + Q_T2 * self.signal_irr(t * ureg.s) ) # total T generation rate in the tank [mol/s] TODO useless: signal_irr is already given n = ufl.FacetNormal(mesh) diff --git a/test/test_solve.py b/test/test_solve.py index 2894840..963fdd4 100644 --- a/test/test_solve.py +++ b/test/test_solve.py @@ -4,6 +4,7 @@ import pytest import dataclasses from pint import DimensionalityError +import numpy as np standard_input = SimulationInput( @@ -20,7 +21,7 @@ E_g=1e-2 * ureg("m^2/s"), E_l=1e-1 * ureg("m^2/s"), D_l=3e-9 * ureg("m^2/s"), - source_T=8e-16 * ureg("molT/m^3/s"), + Q_T=1e8 * ureg("T/s"), ) @@ -85,3 +86,53 @@ def test_model_solve_wrong_argument(standard_simulation): """ with pytest.raises(AttributeError, match="object has no attribute 'to'"): standard_simulation.solve(dt=0.01) + + +@pytest.mark.parametrize("case", ("nominal", "volume_change", "unormalized_profile")) +def test_source_T_normalization(case): + """Tests that the source term is correctly normalized so that the total inventory after a fixed time is always the same + no matter the volume or the given profile function.""" + Q_T = standard_input.Q_T + t_final = 50 * ureg.seconds + # BUILD + match case: + case "nominal": + my_simulation = Simulation( + standard_input, + t_final=t_final, + signal_irr=lambda t: 1, + signal_sparging=lambda t: 0, + ) + case "volume_change": + modified_input = dataclasses.replace( + standard_input, + height=23.2 * standard_input.height, + area=0.123 * standard_input.area, + ) + my_simulation = Simulation( + modified_input, + t_final=t_final, + signal_irr=lambda t: 1, + signal_sparging=lambda t: 0, + ) + case "unormalized_profile": + my_simulation = Simulation( + standard_input, + t_final=t_final, + signal_irr=lambda t: 1, + signal_sparging=lambda t: 0, + profile_source_T=lambda xi: 3 + xi, # not normalized + ) + # RUN + output = my_simulation.solve(fast_solve=True) + + # TEST + n_result = ureg.Quantity(output.inventories_T2_salt[-1], "molT2").magnitude + # n_theory = (Q_T * ureg.Quantity(output.times[-1], "s")).to("molT2").magnitude # TODO change to this + n_theory = (Q_T * t_final).to("molT2").magnitude + # print(len(output.times), len(output.inventories_T2_salt)) + # print(output.times[0], output.inventories_T2_salt[0]) + # print(output.times[-1], output.inventories_T2_salt[-1]) + assert np.isclose(n_result, n_theory, atol=0, rtol=1e-2), print( + f"n_result = {n_result}, n_theory = {n_theory}" + ) # TODO reduce tolerance when vectors initialization with zero is fixed From c3ea7413bb642566c133623b75511812cd56b267 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Thu, 16 Apr 2026 12:09:08 -0400 Subject: [PATCH 087/121] refactoring with postprocess function --- src/sparging/model.py | 56 +++++++++++++++++++------------------------ 1 file changed, 25 insertions(+), 31 deletions(-) diff --git a/src/sparging/model.py b/src/sparging/model.py index ed94606..1e2a0d9 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -294,11 +294,6 @@ def solve( dolfinx.fem.locate_dofs_topological(V.sub(1), fdim, gas_inlet_facets), V.sub(1), ) # y_T2 = 0 at gas inlet - # bc2 = dolfinx.fem.dirichletbc( - # dolfinx.fem.Constant(mesh, 0.0), - # dolfinx.fem.locate_dofs_topological(V.sub(0), fdim, gas_outlet_facets), - # V.sub(0), - # ) # c_T2 = 0 at gas outlet # Custom measure all_facets = np.concatenate((gas_inlet_facets, gas_outlet_facets)) @@ -312,7 +307,6 @@ def solve( problem = NonlinearProblem( F, u, - # bcs=[bc1, bc2], bcs=[bc1], # Neumann BCs on c_T2 at inlet and outlet are naturally enforced petsc_options_prefix="librasparge", # petsc_options={"snes_monitor": None}, @@ -329,28 +323,7 @@ def solve( y_sort_coords = np.argsort(coords) x_y = coords[y_sort_coords] - # TODO Initialize results storage with zeros -> there's an inconsistency: times[0] = 0 but inventories[0] != 0 -> screws comparison with analytical solutions - times = [] - c_T2_solutions = [] - y_T2_solutions = [] - J_T2_solutions = [] - sources_T2 = [] - fluxes_T2 = [] - inventories_T2_salt = [] - - # SOLVE - t = 0 - while t < t_final: - # update time-dependent terms - gen_T2_ave.value = Q_T2 / tank_volume * self.signal_irr(t * ureg.s) - h_l_const.value = h_l * self.signal_sparging(t * ureg.s) - - problem.solve() - - # update previous solution - u_n.x.array[:] = u.x.array[:] - - # post process + def post_process(t): c_T2_post, y_T2_post = u.split() c_T2_vals = u.x.array[ct_dofs][ct_sort_coords] @@ -358,9 +331,6 @@ def solve( J_T2_vals = ( a * h_l_const.value * (c_T2_vals - K_s * (P.x.array * y_T2_vals + EPS)) ) # TODO there is a clever way of getting J_T2 for sure - - # store time and solution - # TODO give units to the results times.append(t) c_T2_solutions.append(c_T2_vals.copy()) y_T2_solutions.append(y_T2_vals.copy()) @@ -410,6 +380,30 @@ def solve( inventory_T2_salt *= tank_area # get total amount of T2 in [mol] inventories_T2_salt.append(inventory_T2_salt) + # TODO Initialize results storage with zeros -> there's an inconsistency: times[0] = 0 but inventories[0] != 0 -> screws comparison with analytical solutions + t = 0 + times = [] + c_T2_solutions = [] + y_T2_solutions = [] + J_T2_solutions = [] + sources_T2 = [] + fluxes_T2 = [] + inventories_T2_salt = [] + post_process(t) + + # SOLVE + while t < t_final: + # update time-dependent terms + gen_T2_ave.value = Q_T2 / tank_volume * self.signal_irr(t * ureg.s) + h_l_const.value = h_l * self.signal_sparging(t * ureg.s) + + problem.solve() + + # update previous solution + u_n.x.array[:] = u.x.array[:] + + post_process(t) + # advance time t += dt From 5edb024e5e6d2710281cf862d52ab2e072ffa7a7 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Thu, 16 Apr 2026 18:08:49 -0400 Subject: [PATCH 088/121] cleaner J_T2 post processing + retrocompatibility with python 3.12 to use with autoemulate --- autoemulate_env.yml | 15 +++++++++++++++ sparging101.py | 8 ++++---- src/sparging/config.py | 2 +- src/sparging/inputs.py | 1 + src/sparging/model.py | 33 +++++++++++++++++++++++++++------ 5 files changed, 48 insertions(+), 11 deletions(-) create mode 100644 autoemulate_env.yml diff --git a/autoemulate_env.yml b/autoemulate_env.yml new file mode 100644 index 0000000..f2c07c9 --- /dev/null +++ b/autoemulate_env.yml @@ -0,0 +1,15 @@ +name: autoemulate_env +channels: + - conda-forge +dependencies: + - python=3.12 + - fenics-dolfinx + - matplotlib + - pyvista + - pyyaml + - numpy + - scipy + - pandas + - pint + - pip: + - autoemulate \ No newline at end of file diff --git a/sparging101.py b/sparging101.py index 3608656..231559e 100644 --- a/sparging101.py +++ b/sparging101.py @@ -1,3 +1,4 @@ +from __future__ import annotations from sparging.config import ureg from sparging import all_correlations from sparging import animation @@ -78,21 +79,20 @@ def profile_source_T(z: pint.Quantity | list[float], height: pint.Quantity = Non # return 0.5 * (1 + np.cos(0.5 * np.pi / (1 * ureg.m) * z)) -T_99 = 1 * ureg.hour +T_99 = my_input.get_tau() my_simulation = Simulation( my_input, t_final=2 * T_99, signal_irr=lambda t: 1 if t < T_99 else 0, - signal_sparging=lambda t: 0, + signal_sparging=lambda t: 1, profile_pressure_hydrostatic=False, profile_source_T=profile_source_T, - dispersion_on=False, ) if __name__ == "__main__": # my_simulation.sim_input.E_g *= 1e5 # my_simulation.sim_input.E_l *= 1e-5 - output = my_simulation.solve(fast_solve=True) + output = my_simulation.solve() # # save output to file # output.profiles_to_csv(f"output_{tank_height}m.csv") diff --git a/src/sparging/config.py b/src/sparging/config.py index 1ec8f5c..bf9bd10 100644 --- a/src/sparging/config.py +++ b/src/sparging/config.py @@ -9,7 +9,7 @@ ureg.define(f"molT = {const.N_A} * triton") ureg.define(f"molT2 = 2 * {const.N_A} * triton") ureg.define("neutron = [neutron] = n") -ureg.define("sccm = 7.44e-7 mol/s") +ureg.define("sccm = 7.44e-7 mol/s") # holds for an ideal gas const_R = const.R * ureg("J/K/mol") # ideal gas constant diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index 2b0aa9a..28a5597 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -79,6 +79,7 @@ class SimulationInput: D_l: pint.Quantity Q_T: pint.Quantity # normalize_source_T: bool = True + # TODO refactoring, put signals in this class @property def volume(self): diff --git a/src/sparging/model.py b/src/sparging/model.py index 1e2a0d9..49ca119 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -1,3 +1,4 @@ +from __future__ import annotations from mpi4py import MPI import dolfinx import basix @@ -24,6 +25,7 @@ if TYPE_CHECKING: import pint +from collections.abc import Callable hours_to_seconds = 3600 days_to_seconds = 24 * hours_to_seconds @@ -140,9 +142,9 @@ def profiles_to_csv(self, output_path: Path): class Simulation: sim_input: SimulationInput t_final: pint.Quantity - signal_irr: callable[pint.Quantity] - signal_sparging: callable[pint.Quantity] - profile_source_T: callable[pint.Quantity] | None = None + signal_irr: Callable[[pint.Quantity], float] + signal_sparging: Callable[[pint.Quantity], float] + profile_source_T: Callable[[float], float] | None = None """callable = f:[0,1] -> R+, it takes a dimensionless coordinate: (z / height)""" profile_pressure_hydrostatic: bool = False dispersion_on: bool = True @@ -313,6 +315,11 @@ def solve( ) # initialise post processing + + # we define a function and an expression for J_T2 for use in post processing + J_T2_func = dolfinx.fem.Function(V_profile) + J_T2_expr = dolfinx.fem.Expression(J_T2, V_profile.element.interpolation_points) + V0_ct, ct_dofs = u.function_space.sub(0).collapse() coords = V0_ct.tabulate_dof_coordinates()[:, 0] ct_sort_coords = np.argsort(coords) @@ -323,14 +330,28 @@ def solve( y_sort_coords = np.argsort(coords) x_y = coords[y_sort_coords] + coords_profile = V_profile.tabulate_dof_coordinates()[:, 0] + num_profile_dofs = ( + V_profile.dofmap.index_map.size_local + ) * V_profile.dofmap.index_map_bs + + profile_dofs = np.arange(num_profile_dofs) + profile_sort_coords = np.argsort(coords_profile) + # NOTE currently we don't use x_profile and use another x in the plotting script + x_profile = coords_profile[profile_sort_coords] + + # NOTE maybe we could take this function out and it would take a SimulationResults object as input + u + other things... def post_process(t): + """ + Post-process the solution at time t. + Extract solution profiles, compute fluxes and inventories, and store them in lists for later analysis. + """ c_T2_post, y_T2_post = u.split() c_T2_vals = u.x.array[ct_dofs][ct_sort_coords] y_T2_vals = u.x.array[y_dofs][y_sort_coords] - J_T2_vals = ( - a * h_l_const.value * (c_T2_vals - K_s * (P.x.array * y_T2_vals + EPS)) - ) # TODO there is a clever way of getting J_T2 for sure + J_T2_func.interpolate(J_T2_expr) + J_T2_vals = J_T2_func.x.array[profile_dofs][ct_sort_coords] times.append(t) c_T2_solutions.append(c_T2_vals.copy()) y_T2_solutions.append(y_T2_vals.copy()) From 8be55c62a6dec11f419541be81f8624deb6a2c9c Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Fri, 17 Apr 2026 11:10:48 -0400 Subject: [PATCH 089/121] refactoring: put signals in SimulationInput --- .gitignore | 1 + sparging101.py | 12 +++---- src/sparging/inputs.py | 81 ++++++++++++++++++++++++++++++++++++------ src/sparging/model.py | 20 +++++------ 4 files changed, 88 insertions(+), 26 deletions(-) diff --git a/.gitignore b/.gitignore index 06849bf..82db1a7 100644 --- a/.gitignore +++ b/.gitignore @@ -206,6 +206,7 @@ marimo/_lsp/ __marimo__/ .vscode/ +misc_scripts/ *.yaml *.csv mwe.py diff --git a/sparging101.py b/sparging101.py index 231559e..a185ab0 100644 --- a/sparging101.py +++ b/sparging101.py @@ -79,20 +79,20 @@ def profile_source_T(z: pint.Quantity | list[float], height: pint.Quantity = Non # return 0.5 * (1 + np.cos(0.5 * np.pi / (1 * ureg.m) * z)) -T_99 = my_input.get_tau() +T_99 = my_input.get_tau() * np.log(100) +my_input.profile_source_T = profile_source_T +my_input.signal_irr = lambda t: 1 if t < T_99 else 0 + my_simulation = Simulation( my_input, t_final=2 * T_99, - signal_irr=lambda t: 1 if t < T_99 else 0, - signal_sparging=lambda t: 1, - profile_pressure_hydrostatic=False, - profile_source_T=profile_source_T, + profile_pressure_hydrostatic=True, ) if __name__ == "__main__": # my_simulation.sim_input.E_g *= 1e5 # my_simulation.sim_input.E_l *= 1e-5 - output = my_simulation.solve() + output = my_simulation.solve(fast_solve=True) # # save output to file # output.profiles_to_csv(f"output_{tank_height}m.csv") diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index 28a5597..23dfa38 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -1,3 +1,4 @@ +from __future__ import annotations from dataclasses import dataclass from sparging.correlations import Correlation, all_correlations import pint @@ -5,7 +6,9 @@ import inspect import numpy as np import logging -from sparging.config import const_R +from sparging.config import ureg, const_R +from collections.abc import Callable + logger = logging.getLogger(__name__) @@ -62,7 +65,7 @@ class SpargingParameters: a: pint.Quantity | Correlation | None = None -@dataclass +@dataclass # should it not be a normal class ? (init method)s class SimulationInput: height: pint.Quantity area: pint.Quantity @@ -78,8 +81,26 @@ class SimulationInput: E_l: pint.Quantity D_l: pint.Quantity Q_T: pint.Quantity - # normalize_source_T: bool = True - # TODO refactoring, put signals in this class + signal_irr: Callable[[pint.Quantity], float] = lambda t: 1 + signal_sparging: Callable[[pint.Quantity], float] = lambda t: 1 + profile_source_T: Callable[[float], float] | None = None + """callable = f:[0,1] -> R+, it takes a dimensionless coordinate: (z / height)""" + required_keys = ( + "height", + "area", + "u_g0", + "temperature", + "a", + "h_l", + "K_s", + "P_bottom", + "rho_l", + "eps_g", + "E_g", + "E_l", + "D_l", + "Q_T", + ) # these parameters will be used to solve the model @property def volume(self): @@ -115,7 +136,7 @@ def get_PP_number(self) -> pint.Quantity: def __post_init__(self): # make sure there are only pint.Quantity or callables in the input, otherwise raise an error - for key in self.__dataclass_fields__.keys(): + for key in self.required_keys: value = getattr(self, key) if not isinstance(value, pint.Quantity): raise ValueError( @@ -145,14 +166,11 @@ def from_parameters( sparging_params, ] resolved_parameters = {} - required_keys = ( - cls.__dataclass_fields__.keys() - ) # these parameters will be used to solve the model - for required_key in required_keys: + for required_key in cls.required_keys: find_in_graph(required_key, resolved_parameters, graph=input_objects) - return cls(**{arg: resolved_parameters[arg] for arg in required_keys}) + return cls(**{arg: resolved_parameters[arg] for arg in cls.required_keys}) def __str__(self): return "\n\t".join( @@ -247,3 +265,46 @@ def resolve_correlation( ) return corr(**{arg: resolved_quantities[arg] for arg in corr_args}) + + +def get_LIBRA_Pi(): + geom = ColumnGeometry( + area=0.2 * ureg.m**2, # 1/4 * pi * (0.5m)^2 + height=1 * ureg.m, + nozzle_diameter=3 * ureg.mm, + nb_nozzle=5 * ureg.dimensionless, + ) + + flibe = BreederMaterial( + name="FLiBe", + ) + + operating_params = OperatingParameters( + temperature=500 * ureg.celsius, + P_top=1 * ureg.atm, + flow_g_mol=40 * ureg.sccm, + tbr=0.1 * ureg("triton / neutron"), + n_gen_rate=1e9 * ureg("neutron / s"), + ) + + sparging_params = SpargingParameters( + h_l=all_correlations("h_l_briggs"), + ) + + libra_pi = SimulationInput.from_parameters( + geom, flibe, operating_params, sparging_params + ) + + n_fluence = 2.5e13 * ureg("neutron") + n_gen_rate = operating_params.n_gen_rate + t_irr = n_fluence / n_gen_rate + print(f"t_irr = {t_irr.to('seconds')}") + my_simulation = Simulation( + my_input, + t_final=50 * ureg.days, + signal_irr=lambda t: 1 if t < t_irr else 0, + signal_sparging=lambda t: 0 if t < t_irr else 1, + # signal_sparging=lambda t: 0, + profile_pressure_hydrostatic=False, + profile_source_T=lambda z: 1, + ) diff --git a/src/sparging/model.py b/src/sparging/model.py index 49ca119..d35d719 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -142,10 +142,6 @@ def profiles_to_csv(self, output_path: Path): class Simulation: sim_input: SimulationInput t_final: pint.Quantity - signal_irr: Callable[[pint.Quantity], float] - signal_sparging: Callable[[pint.Quantity], float] - profile_source_T: Callable[[float], float] | None = None - """callable = f:[0,1] -> R+, it takes a dimensionless coordinate: (z / height)""" profile_pressure_hydrostatic: bool = False dispersion_on: bool = True @@ -214,13 +210,15 @@ def solve( h_l_const = dolfinx.fem.Constant(mesh, PETSc.ScalarType(h_l)) gen_T2_ave = dolfinx.fem.Constant( - mesh, Q_T2 / tank_volume * self.signal_irr(0 * ureg.s) + mesh, Q_T2 / tank_volume * self.sim_input.signal_irr(0 * ureg.s) ) # magnitude of the generation term - if self.profile_source_T is not None: # spatially varying profile is provided + if ( + self.sim_input.profile_source_T is not None + ): # spatially varying profile is provided arbitrary_profile = dolfinx.fem.Function(V_profile) arbitrary_profile.interpolate( - lambda x: x[0] * 0 + self.profile_source_T(x[0] / tank_height) + lambda x: x[0] * 0 + self.sim_input.profile_source_T(x[0] / tank_height) ) profile_integral = dolfinx.fem.assemble_scalar( dolfinx.fem.form( @@ -357,7 +355,7 @@ def post_process(t): y_T2_solutions.append(y_T2_vals.copy()) J_T2_solutions.append(J_T2_vals.copy()) sources_T2.append( - Q_T2 * self.signal_irr(t * ureg.s) + Q_T2 * self.sim_input.signal_irr(t * ureg.s) ) # total T generation rate in the tank [mol/s] TODO useless: signal_irr is already given n = ufl.FacetNormal(mesh) @@ -415,8 +413,10 @@ def post_process(t): # SOLVE while t < t_final: # update time-dependent terms - gen_T2_ave.value = Q_T2 / tank_volume * self.signal_irr(t * ureg.s) - h_l_const.value = h_l * self.signal_sparging(t * ureg.s) + gen_T2_ave.value = ( + Q_T2 / tank_volume * self.sim_input.signal_irr(t * ureg.s) + ) + h_l_const.value = h_l * self.sim_input.signal_sparging(t * ureg.s) problem.solve() From 74e1342481ef4091d41caeb43ff064af20fa5eda Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Fri, 17 Apr 2026 11:42:31 -0400 Subject: [PATCH 090/121] standard, LIBRA 1L and LIBRA Pi inputs are now available from the sparging library, in inputs.py --- sparging101.py | 38 ++---------------- sparging_LIBRA1L.py | 50 +++-------------------- src/sparging/inputs.py | 90 ++++++++++++++++++++++++++++++++++++------ 3 files changed, 87 insertions(+), 91 deletions(-) diff --git a/sparging101.py b/sparging101.py index a185ab0..934efc6 100644 --- a/sparging101.py +++ b/sparging101.py @@ -4,11 +4,7 @@ from sparging import animation from sparging.model import Simulation from sparging.inputs import ( - ColumnGeometry, - BreederMaterial, - OperatingParameters, - SpargingParameters, - SimulationInput, + get_sim_input_standard, ) import logging from typing import TYPE_CHECKING @@ -18,37 +14,10 @@ import pint logger = logging.getLogger(__name__) -logging.basicConfig(level=logging.WARNING) +logging.basicConfig(level=logging.INFO) -geom = ColumnGeometry( - area=0.2 * ureg.m**2, - height=1 * ureg.m, - nozzle_diameter=0.001 * ureg.m, - nb_nozzle=10 * ureg.dimensionless, -) - -flibe = BreederMaterial( - name="FLiBe", -) - -operating_params = OperatingParameters( - temperature=600 * ureg.celsius, - P_top=1 * ureg.atm, - flow_g_mol=400 * ureg.sccm, - tbr=0.1 * ureg("triton / neutron"), - n_gen_rate=1e9 * ureg("neutron / s"), -) - -sparging_params = SpargingParameters( - h_l=all_correlations("h_l_briggs"), -) - -# class method from_parameters that takes in objects like ColumnGeometry, BreederMaterial, OperatingParameters and returns a SimulationInput object with the appropriate correlations for the given parameters. This method should be able to handle cases where some of the parameters are already provided as correlations and should not overwrite them. -my_input = SimulationInput.from_parameters( - geom, flibe, operating_params, sparging_params -) -logger.info(my_input) +my_input = get_sim_input_standard() print(my_input.get_S_T()) print(f"{my_input.Q_T.to('molT/s')} = {my_input.Q_T.to('molT2/hour')}") @@ -79,7 +48,6 @@ def profile_source_T(z: pint.Quantity | list[float], height: pint.Quantity = Non # return 0.5 * (1 + np.cos(0.5 * np.pi / (1 * ureg.m) * z)) -T_99 = my_input.get_tau() * np.log(100) my_input.profile_source_T = profile_source_T my_input.signal_irr = lambda t: 1 if t < T_99 else 0 diff --git a/sparging_LIBRA1L.py b/sparging_LIBRA1L.py index fe29bb7..b072348 100644 --- a/sparging_LIBRA1L.py +++ b/sparging_LIBRA1L.py @@ -3,11 +3,7 @@ from sparging import animation from sparging.model import Simulation from sparging.inputs import ( - ColumnGeometry, - BreederMaterial, - OperatingParameters, - SpargingParameters, - SimulationInput, + get_sim_input_LIBRA1L, ) import logging from typing import TYPE_CHECKING @@ -18,53 +14,19 @@ logger = logging.getLogger(__name__) logging.basicConfig(level=logging.WARNING) -geom = ColumnGeometry( - area=170 * ureg.cm**2, - height=7 * ureg.cm, - nozzle_diameter=1.4 * ureg.mm, - nb_nozzle=1 * ureg.dimensionless, -) - -flibe = BreederMaterial( - name="FLiBe", -) - -operating_params = OperatingParameters( - temperature=600 * ureg.celsius, - P_top=1 * ureg.atm, - flow_g_mol=40 * ureg.sccm, - tbr=2e-3 * ureg("triton / neutron"), - n_gen_rate=1e9 * ureg("neutron / s"), -) - -sparging_params = SpargingParameters( - h_l=all_correlations("h_l_briggs"), -) +my_input, t_irr = get_sim_input_LIBRA1L() -# class method from_parameters that takes in objects like ColumnGeometry, BreederMaterial, OperatingParameters and returns a SimulationInput object with the appropriate correlations for the given parameters. This method should be able to handle cases where some of the parameters are already provided as correlations and should not overwrite them. -my_input = SimulationInput.from_parameters( - geom, flibe, operating_params, sparging_params -) -logger.info(my_input) -print(my_input.get_S_T()) -print(my_input.Q_T.to("molT/s")) +print(f"t_irr = {t_irr.to('hours')}") +my_input.signal_sparging = lambda t: 0 if t <= t_irr else 1 -n_fluence = 2.5e13 * ureg("neutron") -n_gen_rate = operating_params.n_gen_rate -t_irr = n_fluence / n_gen_rate -print(f"t_irr = {t_irr.to('seconds')}") my_simulation = Simulation( my_input, - t_final=50 * ureg.days, - signal_irr=lambda t: 1 if t < t_irr else 0, - signal_sparging=lambda t: 0 if t < t_irr else 1, - # signal_sparging=lambda t: 0, + t_final=2 * ureg.days, profile_pressure_hydrostatic=False, - profile_source_T=lambda z: 1, ) if __name__ == "__main__": - output = my_simulation.solve() + output = my_simulation.solve(fast_solve=True) # # save output to file # output.profiles_to_csv(f"output_{tank_height}m.csv") diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index 23dfa38..378ee1e 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -82,7 +82,9 @@ class SimulationInput: D_l: pint.Quantity Q_T: pint.Quantity signal_irr: Callable[[pint.Quantity], float] = lambda t: 1 + """callable = f:R+ (time) -> [0,1] """ signal_sparging: Callable[[pint.Quantity], float] = lambda t: 1 + """callable = f:R+ (time) -> [0,1] """ profile_source_T: Callable[[float], float] | None = None """callable = f:[0,1] -> R+, it takes a dimensionless coordinate: (z / height)""" required_keys = ( @@ -267,11 +269,13 @@ def resolve_correlation( return corr(**{arg: resolved_quantities[arg] for arg in corr_args}) -def get_LIBRA_Pi(): +def get_sim_input_LIBRA_Pi() -> SimulationInput: + """Returns the SimulationInput for the LIBRA Pi experiment + Geometry and operating parameters are plausible values that should be representative of the final LIBRA Pi experiment""" geom = ColumnGeometry( area=0.2 * ureg.m**2, # 1/4 * pi * (0.5m)^2 height=1 * ureg.m, - nozzle_diameter=3 * ureg.mm, + nozzle_diameter=1.4 * ureg.mm, nb_nozzle=5 * ureg.dimensionless, ) @@ -282,7 +286,7 @@ def get_LIBRA_Pi(): operating_params = OperatingParameters( temperature=500 * ureg.celsius, P_top=1 * ureg.atm, - flow_g_mol=40 * ureg.sccm, + flow_g_mol=100 * ureg.sccm, tbr=0.1 * ureg("triton / neutron"), n_gen_rate=1e9 * ureg("neutron / s"), ) @@ -294,17 +298,79 @@ def get_LIBRA_Pi(): libra_pi = SimulationInput.from_parameters( geom, flibe, operating_params, sparging_params ) + logger.info(libra_pi) + + return libra_pi + + +def get_sim_input_LIBRA1L() -> tuple[SimulationInput, pint.Quantity]: + """Returns the SimulationInput for the LIBRA 1L experiment, and the irradiation time (t_irr) to be used in the signal_irr function. + The irradiation time is calculated based on the neutron fluence and generation rate reported in the LIBRA 1L paper.""" + geom = ColumnGeometry( + area=170 * ureg.cm**2, + height=7 * ureg.cm, + nozzle_diameter=1.4 * ureg.mm, + nb_nozzle=1 * ureg.dimensionless, + ) + + flibe = BreederMaterial( + name="FLiBe", + ) + + operating_params = OperatingParameters( + temperature=600 * ureg.celsius, + P_top=1 * ureg.atm, + flow_g_mol=40 * ureg.sccm, + tbr=2e-3 * ureg("triton / neutron"), # according to LIBRA 1L paper + n_gen_rate=1e9 * ureg("neutron / s"), + ) + + sparging_params = SpargingParameters( + h_l=all_correlations("h_l_briggs"), + ) + + libra_1L = SimulationInput.from_parameters( + geom, flibe, operating_params, sparging_params + ) + logger.info(libra_1L) n_fluence = 2.5e13 * ureg("neutron") n_gen_rate = operating_params.n_gen_rate t_irr = n_fluence / n_gen_rate - print(f"t_irr = {t_irr.to('seconds')}") - my_simulation = Simulation( - my_input, - t_final=50 * ureg.days, - signal_irr=lambda t: 1 if t < t_irr else 0, - signal_sparging=lambda t: 0 if t < t_irr else 1, - # signal_sparging=lambda t: 0, - profile_pressure_hydrostatic=False, - profile_source_T=lambda z: 1, + + libra_1L.signal_irr = lambda t: 1 if t <= t_irr else 0 + + return (libra_1L, t_irr) + + +def get_sim_input_standard() -> SimulationInput: + """Returns a standard SimulationInput that can be used for testing and tutorials. + The parameters are not based on any specific experiment, but are chosen to be representative of a typical sparging system.""" + geom = ColumnGeometry( + area=0.2 * ureg.m**2, + height=1 * ureg.m, + nozzle_diameter=0.001 * ureg.m, + nb_nozzle=10 * ureg.dimensionless, + ) + + flibe = BreederMaterial( + name="FLiBe", + ) + + operating_params = OperatingParameters( + temperature=600 * ureg.celsius, + P_top=1 * ureg.atm, + flow_g_mol=400 * ureg.sccm, + tbr=0.1 * ureg("triton / neutron"), + n_gen_rate=1e9 * ureg("neutron / s"), + ) + + sparging_params = SpargingParameters( + h_l=all_correlations("h_l_briggs"), + ) + + my_input = SimulationInput.from_parameters( + geom, flibe, operating_params, sparging_params ) + logger.info(my_input) + return my_input From 5e58598c49806b2b9f1f2d7cd53544c7837b9e57 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Fri, 17 Apr 2026 12:48:36 -0400 Subject: [PATCH 091/121] added a get_sim_input function and experiment specific params dictionary, maybe better than having a specific get_sim_input function for each experiment --- sparging101.py | 3 +++ src/sparging/inputs.py | 52 ++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 55 insertions(+) diff --git a/sparging101.py b/sparging101.py index 934efc6..4419710 100644 --- a/sparging101.py +++ b/sparging101.py @@ -4,6 +4,8 @@ from sparging import animation from sparging.model import Simulation from sparging.inputs import ( + get_sim_input, + librapi_input_dict, get_sim_input_standard, ) import logging @@ -18,6 +20,7 @@ my_input = get_sim_input_standard() +# my_input = get_sim_input(librapi_input_dict) print(my_input.get_S_T()) print(f"{my_input.Q_T.to('molT/s')} = {my_input.Q_T.to('molT2/hour')}") diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index 378ee1e..5ece6f3 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -8,6 +8,7 @@ import logging from sparging.config import ureg, const_R from collections.abc import Callable +from types import MappingProxyType logger = logging.getLogger(__name__) @@ -374,3 +375,54 @@ def get_sim_input_standard() -> SimulationInput: ) logger.info(my_input) return my_input + + +# NOTE rather have only get_sim_input function and put experiment specific parameters in dictionaries + +_librapi_input_dict = { + "name": "LIBRA Pi", + "area": 0.2 * ureg.m**2, # 1/4 * pi * (0.5m)^2 + "height": 1 * ureg.m, + "nozzle_diameter": 1.4 * ureg.mm, + "nb_nozzle": 5 * ureg.dimensionless, + "temperature": 500 * ureg.celsius, + "P_top": 1 * ureg.atm, + "flow_g_mol": 100 * ureg.sccm, + "tbr": 0.1 * ureg("triton / neutron"), + "n_gen_rate": 1e9 * ureg("neutron / s"), + "material": "FLiBe", +} +librapi_input_dict = MappingProxyType(_librapi_input_dict) # make it immutable + + +def get_sim_input(input_dict: dict) -> SimulationInput: + """Returns the SimulationInput for the given input dictionary""" + geom = ColumnGeometry( + area=input_dict["area"], + height=input_dict["height"], + nozzle_diameter=input_dict["nozzle_diameter"], + nb_nozzle=input_dict["nb_nozzle"], + ) + + material = BreederMaterial( + name=input_dict["material"], + ) + + operating_params = OperatingParameters( + temperature=input_dict["temperature"], + P_top=input_dict["P_top"], + flow_g_mol=input_dict["flow_g_mol"], + tbr=input_dict["tbr"], + n_gen_rate=input_dict["n_gen_rate"], + ) + + sparging_params = SpargingParameters( + h_l=all_correlations("h_l_briggs"), + ) + + my_input = SimulationInput.from_parameters( + geom, material, operating_params, sparging_params + ) + logger.info(my_input) + + return my_input From ff32a897a2005a6545302d4637f005d8a5d847fc Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Fri, 17 Apr 2026 13:07:08 -0400 Subject: [PATCH 092/121] VERBOSE log level to have cleaner logs --- src/sparging/config.py | 12 ++++++++++++ src/sparging/inputs.py | 14 +++++++------- 2 files changed, 19 insertions(+), 7 deletions(-) diff --git a/src/sparging/config.py b/src/sparging/config.py index bf9bd10..4b85466 100644 --- a/src/sparging/config.py +++ b/src/sparging/config.py @@ -1,5 +1,6 @@ from pint import UnitRegistry import scipy.constants as const +import logging ureg = UnitRegistry( autoconvert_offset_to_baseunit=True @@ -14,3 +15,14 @@ const_R = const.R * ureg("J/K/mol") # ideal gas constant const_g = const.g * ureg("m/s**2") # gravitational acceleration + +VERBOSE_LEVEL = 15 +logging.addLevelName(VERBOSE_LEVEL, "VERBOSE") + + +def verbose(self, message, *args, **kws): + if self.isEnabledFor(VERBOSE_LEVEL): + self._log(VERBOSE_LEVEL, message, args, **kws) + + +logging.Logger.verbose = verbose diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index 5ece6f3..bad52f7 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -200,7 +200,7 @@ def find_in_graph( """ # first check if the required node is already discovered if required_node in discovered_nodes: - logger.info(f"Found required node '{required_node}' in discovered nodes...") + logger.verbose(f"Found required node '{required_node}' in discovered nodes...") return # then check if the required node is given as input (either as a pint.Quantity or as a Correlation) @@ -208,8 +208,8 @@ def find_in_graph( # if it's not, look for default correlation if required_node in all_correlations: result = all_correlations(required_node) - logger.info( - f"Found default correlation for required node '{required_node}': {result.identifier}" + logger.verbose( + f"\t Found default correlation for required node '{required_node}': {result.identifier}" ) else: raise ValueError( @@ -236,12 +236,12 @@ def check_input( if (result := getattr(object, required_node, None)) is not None: if isinstance(result, pint.Quantity): # required node was found - logger.info( + logger.verbose( f"Found Quantity for required node '{required_node}' in graph: {result}" ) break elif isinstance(result, Correlation): - logger.info( + logger.verbose( f"Found correlation for required node '{required_node}' in graph: {result.identifier}" ) break @@ -257,7 +257,7 @@ def resolve_correlation( ) -> pint.Quantity: corr_args = inspect.signature(corr.function).parameters.keys() for arg in corr_args: - logger.info( + logger.verbose( f"Resolving argument '{arg}' for correlation '{corr.identifier}'..." ) find_in_graph(arg, resolved_quantities, graph) @@ -379,7 +379,7 @@ def get_sim_input_standard() -> SimulationInput: # NOTE rather have only get_sim_input function and put experiment specific parameters in dictionaries -_librapi_input_dict = { +_librapi_input_dict = { # NOTE could use a frozen dataclass, avoids external user mistyping parameters when modifying input to do parametric sweep "name": "LIBRA Pi", "area": 0.2 * ureg.m**2, # 1/4 * pi * (0.5m)^2 "height": 1 * ureg.m, From 57ff35b51bb18f1725851767d525e07ba2dd5532 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Fri, 17 Apr 2026 15:42:00 -0400 Subject: [PATCH 093/121] added postprocessing.py + implemented pint in SimulationResults --- src/sparging/animation.py | 20 +++++++++------ src/sparging/inputs.py | 2 +- src/sparging/model.py | 48 +++++++++++++++++------------------ src/sparging/postprocess.py | 50 +++++++++++++++++++++++++++++++++++++ 4 files changed, 86 insertions(+), 34 deletions(-) create mode 100644 src/sparging/postprocess.py diff --git a/src/sparging/animation.py b/src/sparging/animation.py index 6baacfd..a541f8d 100644 --- a/src/sparging/animation.py +++ b/src/sparging/animation.py @@ -36,17 +36,21 @@ def __init__( hspace : float, optional Vertical spacing between subplots """ - self.times_hr = np.array(results.times) * sec_to_hour - self.c_T2_solutions = np.array(results.c_T2_solutions) - self.y_T2_solutions = np.array(results.y_T2_solutions) - self.x_ct = results.x_ct - self.x_y = results.x_y - self.inventories_T2_salt = results.inventories_T2_salt + self.times_hr = results.times.to("hour").magnitude + self.c_T2_solutions = results.c_T2_solutions.to("molT2/m^3").magnitude + self.y_T2_solutions = results.y_T2_solutions.to("dimensionless").magnitude + self.x_ct = results.x_ct.to("m").magnitude + self.x_y = results.x_y.to("m").magnitude + self.inventories_T2_salt = results.inventories_T2_salt.to("molT2").magnitude self.source_T2 = ( - None if results.sources_T2 is None else np.array(results.sources_T2) + None + if results.sources_T2 is None + else results.sources_T2.to("molT2/s").magnitude ) self.fluxes_T2 = ( - None if results.fluxes_T2 is None else np.array(results.fluxes_T2) + None + if results.fluxes_T2 is None + else results.fluxes_T2.to("molT2/s").magnitude ) self.show_activity = show_activity self.figsize = figsize diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index bad52f7..2af4cca 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -385,7 +385,7 @@ def get_sim_input_standard() -> SimulationInput: "height": 1 * ureg.m, "nozzle_diameter": 1.4 * ureg.mm, "nb_nozzle": 5 * ureg.dimensionless, - "temperature": 500 * ureg.celsius, + "temperature": 600 * ureg.celsius, "P_top": 1 * ureg.atm, "flow_g_mol": 100 * ureg.sccm, "tbr": 0.1 * ureg("triton / neutron"), diff --git a/src/sparging/model.py b/src/sparging/model.py index d35d719..6cf5b36 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -39,19 +39,19 @@ @dataclass -class SimulationResults: # TODO implement pint in this class # TODO change list to np.array - times: list - c_T2_solutions: list - y_T2_solutions: list - J_T2_solutions: list - x_ct: np.ndarray - x_y: np.ndarray - inventories_T2_salt: np.ndarray - sources_T2: list - fluxes_T2: list +class SimulationResults: + times: np.ndarray[pint.Quantity] + c_T2_solutions: np.ndarray[pint.Quantity] + y_T2_solutions: np.ndarray[pint.Quantity] + J_T2_solutions: np.ndarray[pint.Quantity] + x_ct: np.ndarray[pint.Quantity] + x_y: np.ndarray[pint.Quantity] + inventories_T2_salt: np.ndarray[pint.Quantity] + sources_T2: np.ndarray[pint.Quantity] + fluxes_T2: np.ndarray[pint.Quantity] sim_input: SimulationInput - dt: int | None = None - dx: int | None = None + dt: pint.Quantity + dx: pint.Quantity keys_to_ignore_results = [ # TODO do it the other way: keys_to_include_results "c_T2_solutions", @@ -428,22 +428,20 @@ def post_process(t): # advance time t += dt - inventories_T2_salt = np.array(inventories_T2_salt) - # TODO reattach units using wrapping # https://pint.readthedocs.io/en/stable/advanced/performance.html#a-safer-method-wrapping results = SimulationResults( - times=times, - c_T2_solutions=c_T2_solutions, - y_T2_solutions=y_T2_solutions, - J_T2_solutions=J_T2_solutions, - x_ct=x_ct, - x_y=x_y, - inventories_T2_salt=inventories_T2_salt, - sources_T2=sources_T2, - fluxes_T2=fluxes_T2, + times=np.array(times) * ureg("s"), + c_T2_solutions=np.array(c_T2_solutions) * ureg("molT2/m^3"), + y_T2_solutions=np.array(y_T2_solutions) * ureg("dimensionless"), + J_T2_solutions=np.array(J_T2_solutions) * ureg("molT2/m^3/s"), + x_ct=x_ct * ureg("m"), + x_y=x_y * ureg("m"), + inventories_T2_salt=np.array(inventories_T2_salt) * ureg("molT2"), + sources_T2=np.array(sources_T2) * ureg("molT2/s"), + fluxes_T2=np.array(fluxes_T2) * ureg("molT2/s"), sim_input=self.sim_input, - dt=dt, - dx=dx, + dt=dt * ureg("s"), + dx=dx * ureg("m"), ) return results diff --git a/src/sparging/postprocess.py b/src/sparging/postprocess.py new file mode 100644 index 0000000..21ac04f --- /dev/null +++ b/src/sparging/postprocess.py @@ -0,0 +1,50 @@ +from __future__ import annotations +from sparging.config import ureg +from typing import TYPE_CHECKING +import numpy as np + +if TYPE_CHECKING: + import pint + from sparging.model import SimulationResults + import matplotlib.pyplot as plt + + +def indices_from_times(sim_output: SimulationResults, times_ref: list[pint.Quantity]): + i_matching = [np.argmin(np.abs(sim_output.times - t)) for t in times_ref] + times_matching = [sim_output.times[i] for i in i_matching] + return i_matching, times_matching + + +def plot_profile( + sim_output: SimulationResults, + ax: plt.Axes, + var_name: str, + times: list[pint.Quantity], +): + i_to_plot, _ = indices_from_times(sim_output, times) + y_to_plot = getattr(sim_output, var_name) + for i in i_to_plot: + ax.plot( + sim_output.x_ct, + y_to_plot[i], + label=f"t = {sim_output.times[i] / 3600:.2f} h", + ) + ax.legend() + ax.set_xlabel(r"z [m]") + ax.set_ylabel(var_name) # TODO leverage pint for units + ax.set_title(var_name + " profile") + ax.grid() + + +def plot_signal(sim_output: SimulationResults, ax: plt.Axes, var_name: str): + y_to_plot = getattr(sim_output, var_name) + ax.plot( + sim_output.times, + y_to_plot, + label=var_name, + ) + ax.legend() + ax.set_xlabel(r"t [s]") + ax.set_ylabel(var_name) # TODO leverage pint for units + ax.set_title(var_name + " profile") + ax.grid() From 7258384dfdd2581c2ddb93d43219f506aace8b47 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Fri, 17 Apr 2026 16:26:05 -0400 Subject: [PATCH 094/121] few tweaks --- src/sparging/postprocess.py | 30 +++++++++++++++--------------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/src/sparging/postprocess.py b/src/sparging/postprocess.py index 21ac04f..7a2c8e2 100644 --- a/src/sparging/postprocess.py +++ b/src/sparging/postprocess.py @@ -12,6 +12,8 @@ def indices_from_times(sim_output: SimulationResults, times_ref: list[pint.Quantity]): i_matching = [np.argmin(np.abs(sim_output.times - t)) for t in times_ref] times_matching = [sim_output.times[i] for i in i_matching] + + assert len(i_matching) == len(times_ref) return i_matching, times_matching @@ -20,14 +22,18 @@ def plot_profile( ax: plt.Axes, var_name: str, times: list[pint.Quantity], + colors: list = None, + **kwargs, ): i_to_plot, _ = indices_from_times(sim_output, times) y_to_plot = getattr(sim_output, var_name) - for i in i_to_plot: + for j, idx in enumerate(i_to_plot): ax.plot( sim_output.x_ct, - y_to_plot[i], - label=f"t = {sim_output.times[i] / 3600:.2f} h", + y_to_plot[idx], + label=f"t = {sim_output.times[idx]:.2f}", + c=colors[j] if colors is not None else None, + **kwargs, ) ax.legend() ax.set_xlabel(r"z [m]") @@ -36,15 +42,9 @@ def plot_profile( ax.grid() -def plot_signal(sim_output: SimulationResults, ax: plt.Axes, var_name: str): - y_to_plot = getattr(sim_output, var_name) - ax.plot( - sim_output.times, - y_to_plot, - label=var_name, - ) - ax.legend() - ax.set_xlabel(r"t [s]") - ax.set_ylabel(var_name) # TODO leverage pint for units - ax.set_title(var_name + " profile") - ax.grid() +def plot_signal(sim_output: SimulationResults, ax: plt.Axes, var_name: str, **kwargs): + ax.plot(sim_output.times, getattr(sim_output, var_name), **kwargs) + # ax.set_xlabel(r"t [s]") + # ax.set_ylabel(var_name) # TODO leverage pint for units + # ax.set_title(var_name + " profile") + # ax.grid() From b66ec0518d04e3ad85be76efe07d3a66b2f7cbfb Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Fri, 17 Apr 2026 16:31:59 -0400 Subject: [PATCH 095/121] removed unused file --- autoemulate_env.yml | 15 --------------- 1 file changed, 15 deletions(-) delete mode 100644 autoemulate_env.yml diff --git a/autoemulate_env.yml b/autoemulate_env.yml deleted file mode 100644 index f2c07c9..0000000 --- a/autoemulate_env.yml +++ /dev/null @@ -1,15 +0,0 @@ -name: autoemulate_env -channels: - - conda-forge -dependencies: - - python=3.12 - - fenics-dolfinx - - matplotlib - - pyvista - - pyyaml - - numpy - - scipy - - pandas - - pint - - pip: - - autoemulate \ No newline at end of file From f605cd86c7ca3ee3a747a5f8db23358fedeb4266 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Fri, 17 Apr 2026 16:32:20 -0400 Subject: [PATCH 096/121] added env file --- autoemulate_env.yml | 15 +++++++++++++++ 1 file changed, 15 insertions(+) create mode 100644 autoemulate_env.yml diff --git a/autoemulate_env.yml b/autoemulate_env.yml new file mode 100644 index 0000000..f2c07c9 --- /dev/null +++ b/autoemulate_env.yml @@ -0,0 +1,15 @@ +name: autoemulate_env +channels: + - conda-forge +dependencies: + - python=3.12 + - fenics-dolfinx + - matplotlib + - pyvista + - pyyaml + - numpy + - scipy + - pandas + - pint + - pip: + - autoemulate \ No newline at end of file From 8e727de0448e129cab224146d56820d34a144132 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Fri, 17 Apr 2026 16:52:22 -0400 Subject: [PATCH 097/121] better inputs --- src/sparging/inputs.py | 80 ++++++++++++++++++++++++++++-------------- 1 file changed, 53 insertions(+), 27 deletions(-) diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index 2af4cca..c94bc7e 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -1,5 +1,5 @@ from __future__ import annotations -from dataclasses import dataclass +from dataclasses import dataclass, replace from sparging.correlations import Correlation, all_correlations import pint from typing import List @@ -29,6 +29,9 @@ def tank_diameter(self): def tank_volume(self): return self.area * self.height + def copy(self): + return replace(self) + @dataclass class BreederMaterial: @@ -39,6 +42,9 @@ class BreederMaterial: viscosity: pint.Quantity | Correlation | None = None surface_tension: pint.Quantity | Correlation | None = None + def copy(self): + return replace(self) + @dataclass class OperatingParameters: @@ -53,6 +59,9 @@ class OperatingParameters: n_gen_rate: pint.Quantity | None = None Q_T: pint.Quantity | None = None + def copy(self): + return replace(self) + @dataclass class SpargingParameters: @@ -65,6 +74,9 @@ class SpargingParameters: E_l: pint.Quantity | Correlation | None = None a: pint.Quantity | Correlation | None = None + def copy(self): + return replace(self) + @dataclass # should it not be a normal class ? (init method)s class SimulationInput: @@ -184,6 +196,9 @@ def __str__(self): ] ) + def copy(self): + return replace(self) + def find_in_graph( required_node: str, @@ -395,34 +410,45 @@ def get_sim_input_standard() -> SimulationInput: librapi_input_dict = MappingProxyType(_librapi_input_dict) # make it immutable -def get_sim_input(input_dict: dict) -> SimulationInput: - """Returns the SimulationInput for the given input dictionary""" - geom = ColumnGeometry( - area=input_dict["area"], - height=input_dict["height"], - nozzle_diameter=input_dict["nozzle_diameter"], - nb_nozzle=input_dict["nb_nozzle"], - ) +# NOTE potentially we could make sure it's immutable with something like this +# class PresetInputs: +# def __init__(self, name: str): +# self.name = name - material = BreederMaterial( - name=input_dict["material"], - ) - operating_params = OperatingParameters( - temperature=input_dict["temperature"], - P_top=input_dict["P_top"], - flow_g_mol=input_dict["flow_g_mol"], - tbr=input_dict["tbr"], - n_gen_rate=input_dict["n_gen_rate"], - ) +# class LIBRA_Pi_Input(PresetInputs): +# @property +# def geometry(self): +# return ColumnGeometry( +# area=0.2 * ureg.m**2, # 1/4 * pi * (0.5m)^2 +# height=1 * ureg.m, +# nozzle_diameter=1.4 * ureg.mm, +# nb_nozzle=5 * ureg.dimensionless, +# ) - sparging_params = SpargingParameters( - h_l=all_correlations("h_l_briggs"), - ) - my_input = SimulationInput.from_parameters( - geom, material, operating_params, sparging_params - ) - logger.info(my_input) +# new_geometry = LIBRA_Pi_Input.geometry - return my_input + +LIBRA_PI_GEOM = ColumnGeometry( + area=_librapi_input_dict["area"], + height=_librapi_input_dict["height"], + nozzle_diameter=_librapi_input_dict["nozzle_diameter"], + nb_nozzle=_librapi_input_dict["nb_nozzle"], +) + +LIBRA_PI_MAT = BreederMaterial( + name=_librapi_input_dict["material"], +) + +LIBRA_PI_OPERATING_PARAMS = OperatingParameters( + temperature=_librapi_input_dict["temperature"], + P_top=_librapi_input_dict["P_top"], + flow_g_mol=_librapi_input_dict["flow_g_mol"], + tbr=_librapi_input_dict["tbr"], + n_gen_rate=_librapi_input_dict["n_gen_rate"], +) + +LIBRA_PI_SPARGING_PARAMS = SpargingParameters( + h_l=all_correlations("h_l_briggs"), +) From 79141cb42ee810e6c42dee2c8579ab4f191eaf66 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Fri, 17 Apr 2026 17:57:10 -0400 Subject: [PATCH 098/121] serialize and deserialize SimulationResult to .JSON and .pkl --- .gitignore | 1 + src/sparging/model.py | 95 +++++++++++++++++++++++++++++++++++-------- 2 files changed, 78 insertions(+), 18 deletions(-) diff --git a/.gitignore b/.gitignore index 82db1a7..e07c276 100644 --- a/.gitignore +++ b/.gitignore @@ -214,3 +214,4 @@ mwe.py !standard_input.json *.ipynb *.code-workspace +*.pkl diff --git a/src/sparging/model.py b/src/sparging/model.py index 6cf5b36..9adf7ba 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -20,11 +20,7 @@ from sparging.config import ureg, const_g from sparging.inputs import SimulationInput - -from typing import TYPE_CHECKING - -if TYPE_CHECKING: - import pint +import pint from collections.abc import Callable hours_to_seconds = 3600 @@ -49,21 +45,23 @@ class SimulationResults: inventories_T2_salt: np.ndarray[pint.Quantity] sources_T2: np.ndarray[pint.Quantity] fluxes_T2: np.ndarray[pint.Quantity] - sim_input: SimulationInput - dt: pint.Quantity - dx: pint.Quantity + dt: pint.Quantity = None + dx: pint.Quantity = None + sim_input: SimulationInput = None keys_to_ignore_results = [ # TODO do it the other way: keys_to_include_results - "c_T2_solutions", - "y_T2_solutions", - "J_T2_solutions", - "x_ct", - "x_y", - "inventories_T2_salt", - "times", - "source_T2", - "fluxes_T2", + # "c_T2_solutions", + # "y_T2_solutions", + # "J_T2_solutions", + # "x_ct", + # "x_y", + # "inventories_T2_salt", + # "times", + # "sources_T2", + # "fluxes_T2", "sim_input", + "dt", + "dx", ] def to_yaml(self, output_path: Path): @@ -90,7 +88,7 @@ def to_yaml(self, output_path: Path): with open(output_path, "w") as f: yaml.dump(output, f, sort_keys=False) - def to_json(self, output_path: Path): + def serialize_output(self): sim_dict = self.sim_input.__dict__.copy() # structure the output @@ -116,10 +114,44 @@ def to_json(self, output_path: Path): print( "found list in results, converting to list for JSON serialization" ) + if isinstance(value, pint.Quantity): + # convert pint.Quantity to string for JSON serialization + output[key] = value.to_base_units().magnitude + print( + "found pint.Quantity in results, converting to magnitude for JSON serialization" + ) + else: + print( + f"{key} is of type {type(value)}, no conversion needed for JSON serialization" + ) + + for k, v in output["results"].items(): + if isinstance(v, pint.Quantity): + units = str(v.units) + output["results"][k] = {"value": v.magnitude, "units": units} + + if isinstance(v.magnitude, np.ndarray): + print( + f"found pint.Quantity with numpy array magnitude in results[{k}], converting to list for JSON serialization" + ) + output["results"][k]["value"] = v.magnitude.tolist() + + return output + + def to_json(self, output_path: Path): + output = self.serialize_output() with open(output_path, "w") as f: json.dump(output, f, indent=3) + def to_pickle(self, output_path: Path): + import pickle + + output = self.serialize_output() + + with open(output_path, "wb") as f: + pickle.dump(output, f) + def profiles_to_csv(self, output_path: Path): """save c_T2 and y_T2 profiles at all time steps to csv files, one for c_T2 and one for y_T2, with columns for each time step""" import pandas as pd @@ -137,6 +169,33 @@ def profiles_to_csv(self, output_path: Path): df_c_T2.to_csv(output_path.joinpath("_c_T2.csv"), index=False) df_y_T2.to_csv(output_path.joinpath("_y_T2.csv"), index=False) + @classmethod + def deserialize_output(cls, data: dict) -> SimulationResults: + # only read the "results" key + # for each key in results, if the dict have "value" and "units" keys, convert it back to pint.Quantity + results = data.get("results", {}) + for k, v in results.items(): + if isinstance(v, dict) and "value" in v and "units" in v: + results[k] = ureg.Quantity(v["value"], v["units"]) + + return cls(**results) + + @classmethod + def from_json(cls, input_path: Path) -> SimulationResults: + with open(input_path, "r") as f: + data = json.load(f) + + return cls.deserialize_output(data) + + @classmethod + def from_pickle(cls, input_path: Path) -> SimulationResults: + import pickle + + with open(input_path, "rb") as f: + data = pickle.load(f) + + return cls.deserialize_output(data) + @dataclass class Simulation: From 3ef0d662f71c165b3dd2ec35b27635edc2658670 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Fri, 17 Apr 2026 18:34:39 -0400 Subject: [PATCH 099/121] test for sim results serialization --- src/sparging/model.py | 13 ++++--- test/test_simulation_results.py | 65 +++++++++++++++++++++++++++++++++ 2 files changed, 73 insertions(+), 5 deletions(-) create mode 100644 test/test_simulation_results.py diff --git a/src/sparging/model.py b/src/sparging/model.py index 9adf7ba..a168477 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -22,6 +22,9 @@ from sparging.inputs import SimulationInput import pint from collections.abc import Callable +import logging + +logger = logging.getLogger(__name__) hours_to_seconds = 3600 days_to_seconds = 24 * hours_to_seconds @@ -103,7 +106,7 @@ def serialize_output(self): output["simulation parameters"][key] = str(value) output["results"] = self.__dict__.copy() - # remove c_T2_solutions and y_T2_solutions from results to avoid dumping large arrays in yaml, they can be saved separately if needed + # remove objects incompatible with serialization for key in self.keys_to_ignore_results: output["results"].pop(key, None) @@ -111,17 +114,17 @@ def serialize_output(self): if isinstance(value, np.ndarray): # convert numpy arrays to lists for JSON serialization output[key] = value.tolist() - print( + logger.verbose( "found list in results, converting to list for JSON serialization" ) if isinstance(value, pint.Quantity): # convert pint.Quantity to string for JSON serialization output[key] = value.to_base_units().magnitude - print( + logger.verbose( "found pint.Quantity in results, converting to magnitude for JSON serialization" ) else: - print( + logger.verbose( f"{key} is of type {type(value)}, no conversion needed for JSON serialization" ) @@ -131,7 +134,7 @@ def serialize_output(self): output["results"][k] = {"value": v.magnitude, "units": units} if isinstance(v.magnitude, np.ndarray): - print( + logger.verbose( f"found pint.Quantity with numpy array magnitude in results[{k}], converting to list for JSON serialization" ) output["results"][k]["value"] = v.magnitude.tolist() diff --git a/test/test_simulation_results.py b/test/test_simulation_results.py new file mode 100644 index 0000000..1abacab --- /dev/null +++ b/test/test_simulation_results.py @@ -0,0 +1,65 @@ +from sparging.model import Simulation, SimulationResults +from sparging.inputs import ( + LIBRA_PI_GEOM, + LIBRA_PI_MAT, + LIBRA_PI_OPERATING_PARAMS, + LIBRA_PI_SPARGING_PARAMS, + SimulationInput, + ureg, +) +import numpy as np +from pathlib import Path + + +def test_simulation_results_serialization(tmp_path): + # BUILD + my_input = SimulationInput.from_parameters( + LIBRA_PI_GEOM, + LIBRA_PI_MAT, + LIBRA_PI_OPERATING_PARAMS, + LIBRA_PI_SPARGING_PARAMS, + ) + + my_sim = Simulation( + my_input, + t_final=2 * ureg.hour, + ) + + res = my_sim.solve(fast_solve=True) + + # RUN + # serialization + path_json = Path(tmp_path).joinpath("results.json") + path_pkl = Path(tmp_path).joinpath("results.pkl") + res.to_json(path_json) + res.to_pickle(path_pkl) + + # deserialization + new_res_json = SimulationResults.from_json(path_json) + new_res_pickle = SimulationResults.from_pickle(path_pkl) + + # TEST + assert len(res.times) == len(new_res_json.times), ( + "JSON Times arrays have different lengths" + ) + assert len(res.c_T2_solutions) == len(new_res_json.c_T2_solutions), ( + "JSON c_T2_solutions arrays have different lengths" + ) + + assert np.allclose(res.times, new_res_json.times), "JSON Times arrays are not close" + assert np.allclose(res.c_T2_solutions, new_res_json.c_T2_solutions), ( + "JSON c_T2_solutions arrays are not close" + ) + + assert len(res.times) == len(new_res_pickle.times), ( + "Pickle Times arrays have different lengths" + ) + assert len(res.c_T2_solutions) == len(new_res_pickle.c_T2_solutions), ( + "Pickle c_T2_solutions arrays have different lengths" + ) + assert np.allclose(res.times, new_res_pickle.times), ( + "Pickle Times arrays are not close" + ) + assert np.allclose(res.c_T2_solutions, new_res_pickle.c_T2_solutions), ( + "Pickle c_T2_solutions arrays are not close" + ) From 81c1ae293abcecbbb0d5ee3e8b4a6fda5dd10d7d Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Thu, 23 Apr 2026 18:42:20 -0400 Subject: [PATCH 100/121] sensitivity analysis scripts Co-authored-by: Copilot --- .gitignore | 2 + sensitivity.ipynb | 404 ++++++++++++++++++++++++++++++++++++++++++++++ sensitivity.py | 199 +++++++++++++++++++++++ 3 files changed, 605 insertions(+) create mode 100644 sensitivity.ipynb create mode 100644 sensitivity.py diff --git a/.gitignore b/.gitignore index e07c276..8dd4532 100644 --- a/.gitignore +++ b/.gitignore @@ -207,11 +207,13 @@ __marimo__/ .vscode/ misc_scripts/ +training/ *.yaml *.csv mwe.py *.json !standard_input.json *.ipynb +!sensitivity.ipynb *.code-workspace *.pkl diff --git a/sensitivity.ipynb b/sensitivity.ipynb new file mode 100644 index 0000000..725afb4 --- /dev/null +++ b/sensitivity.ipynb @@ -0,0 +1,404 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "34bbbb98", + "metadata": {}, + "outputs": [], + "source": [ + "from autoemulate import AutoEmulate\n", + "import torch\n", + "import pandas as pd\n", + "from pathlib import Path\n", + "\n", + "# FOLDER = Path(\"/home/monroe/libra_pi/libra_sparging/20260422_164947\")\n", + "FOLDER = Path(\"training/20260423_123916\")\n", + "\n", + "# model = AutoEmulate.load_model(FOLDER / \"GaussianProcessRBF_1_20260422_165335.joblib\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "9e04a7db", + "metadata": {}, + "outputs": [], + "source": [ + "X = pd.read_csv(FOLDER / \"simulator_inputs.csv\")\n", + "Y = pd.read_csv(FOLDER / \"simulator_outputs.csv\")\n", + "Z = torch.tensor(Y.values, dtype=torch.float32)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "e25078c0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "fig, axs = plt.subplots()\n", + "\n", + "x_name = \"log(K_s)\"\n", + "y_name = \"log(h_l)\"\n", + "c_name = \"log(residual_1week)\"\n", + "Y_plot = np.power(10, Y[c_name])\n", + "# c_name = \"residual_1week\"\n", + "# Y_plot = np.log10(Y[c_name])\n", + "\n", + "plt.sca(axs)\n", + "plt.scatter(X[x_name], X[y_name], c=Y_plot, cmap=\"viridis\", vmin=Y_plot.min(), vmax=Y_plot.max())\n", + "\n", + "plt.title(f\"{FOLDER} - residual after 1 week\")\n", + "\n", + "plt.xlabel(x_name)\n", + "plt.ylabel(y_name)\n", + "\n", + "plt.colorbar(cax=fig.add_axes([0.92, 0.15, 0.02, 0.7]))\n", + "plt.savefig(FOLDER / \"postprocessing\" / \"scatter.png\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "b3664fc7", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "PPs = pd.read_csv(FOLDER / \"PP_numbers.csv\")\n", + "\n", + "plt.hist(np.log10(PPs.values), bins=20, edgecolor='black', alpha=0.7)\n", + "plt.vlines(np.log10(0.1), ymin=0, ymax=plt.gca().get_ylim()[1], colors=\"red\", linestyles=\"dashed\", label=\"SPP limit\")\n", + "plt.title(f\"{FOLDER} - PP_number distribution, n={len(PPs)}\")\n", + "plt.xlabel(\"log(PP_number)\")\n", + "plt.ylabel(\"# samples\")\n", + "plt.legend()\n", + "plt.savefig(FOLDER / \"postprocessing\" / \"PP_distrib.png\")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "803b3138", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PP range: 7.51e-05 - 2.79e+03\n" + ] + } + ], + "source": [ + "\"\"\" PP number range from input parameters range\"\"\"\n", + "\n", + "parameters_range={\n", + " \"log(h_l)\": tuple(np.log10((1e-4, 1e-2))),\n", + " \"log(eps_g)\": tuple(np.log10((1e-4, 2e-1))),\n", + " \"a\": (0.05, 0.5),\n", + " \"temperature\": (450, 800),\n", + " \"log(K_s)\": tuple(np.log10((1e-3, 1e-0))),\n", + " \"u_g0\": (0.02, 0.4),\n", + " }\n", + "p = parameters_range\n", + "PP_max = 8.314 * (np.max(p[\"temperature\"])+273) * 10**np.max(p[\"log(K_s)\"]) * 10**np.max(p[\"log(h_l)\"]) * np.max(p[\"a\"]) * 1 / ((1-10**np.max(p[\"log(eps_g)\"])) * np.min(p[\"u_g0\"]))\n", + "PP_min = 8.314 * (np.min(p[\"temperature\"])+273) * 10**np.min(p[\"log(K_s)\"]) * 10**np.min(p[\"log(h_l)\"]) * np.min(p[\"a\"]) * 1 / ((1-10**np.min(p[\"log(eps_g)\"])) * np.max(p[\"u_g0\"]))\n", + "print(f\"PP range: {PP_min:.2e} - {PP_max:.2e}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cd9e3e57", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Monte Carlo samples: 5000\n", + "\n", + "==================================================\n", + "PP STATISTICS\n", + "==================================================\n", + " Min: 8.33e-03\n", + " Max: 6.93e+01\n", + " Mean: 2.58e+00\n", + " Std: 5.15e+00\n", + " Median: 8.04e-01\n", + " log10 range: [-2.08, 1.84]\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "def monte_carlo_pp_sample(parameters_range, n_samples=10000):\n", + " R = 8.314 # Gas constant J/(mol·K)\n", + " \n", + " # Initialize storage for samples\n", + " samples = {key: np.zeros(n_samples) for key in parameters_range.keys()}\n", + " # Sample uniformly from each parameter range\n", + " for param, (min_val, max_val) in parameters_range.items():\n", + " samples[param] = np.random.uniform(min_val, max_val, n_samples)\n", + " \n", + " # Compute PP for each sample\n", + " pp_values = (\n", + " R * \n", + " (samples[\"temperature\"] + 273) * \n", + " 10**samples[\"log(K_s)\"] * \n", + " 10**samples[\"log(h_l)\"] * \n", + " samples[\"a\"] / \n", + " ((1 - 10**samples[\"log(eps_g)\"]) * samples[\"u_g0\"])\n", + " )\n", + " \n", + " return pp_values, samples\n", + "\n", + "\n", + "parameters_range={\n", + " \"log(h_l)\": tuple(np.log10((1e-3, 1e-2))),\n", + " \"log(eps_g)\": tuple(np.log10((1e-4, 2e-1))),\n", + " \"a\": (0.05, 0.3),\n", + " \"temperature\": (700, 800),\n", + " \"log(K_s)\": tuple(np.log10((1e-3, 1e-1))),\n", + " \"u_g0\": (0.02, 0.1),\n", + "}\n", + "\n", + "# Run Monte Carlo\n", + "n_samples = 5000\n", + "pp_values, samples = monte_carlo_pp_sample(parameters_range, n_samples)\n", + "\n", + "# Statistics\n", + "print(f\"Monte Carlo samples: {n_samples}\")\n", + "print(f\"\\n{'='*50}\")\n", + "print(f\"PP STATISTICS\")\n", + "print(f\"{'='*50}\")\n", + "print(f\" Min: {np.min(pp_values):.2e}\")\n", + "print(f\" Max: {np.max(pp_values):.2e}\")\n", + "print(f\" Mean: {np.mean(pp_values):.2e}\")\n", + "print(f\" Std: {np.std(pp_values):.2e}\")\n", + "print(f\" Median: {np.median(pp_values):.2e}\")\n", + "print(f\" log10 range: [{np.log10(np.min(pp_values)):.2f}, {np.log10(np.max(pp_values)):.2f}]\")\n", + "\n", + "# Visualization\n", + "fig_MC, ax = plt.subplots()\n", + "\n", + "# PP distribution (log scale)\n", + "ax.hist(np.log10(pp_values), bins=20,edgecolor='black', alpha=0.7)\n", + "# ax.hist(pp_values, bins=50, range=(0,10),edgecolor='black', alpha=0.7)\n", + "\n", + "ax.set_xlabel(\"log10(PP)\")\n", + "ax.set_ylabel(\"Frequency\")\n", + "ax.set_title(f\"{FOLDER} - Predicted PP Distribution\")\n", + "ax.grid(alpha=0.3)\n", + "ax.vlines(np.log10(0.1), ymin=0, ymax=plt.gca().get_ylim()[1], colors=\"red\", linestyles=\"dashed\", label=\"SPP limit\")\n", + "# ax.vlines(0.1, ymin=0, ymax=plt.gca().get_ylim()[1], colors=\"red\", linestyles=\"dashed\", label=\"SPP limit\")\n", + "\n", + "ax.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "02a6baa6", + "metadata": {}, + "outputs": [], + "source": [ + "fig_MC.savefig(FOLDER / \"postprocessing\" / \"pp_monte_carlo.png\", dpi=150)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "721935eb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Diagnostic for sample 8: PP=[0.09026422], residual=1.19e-17\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from sparging.model import SimulationResults\n", + "from sparging.config import ureg\n", + "import sparging.postprocess as pp\n", + "\n", + "idxs = np.argwhere(PPs.values > 1)\n", + "# idx = idxs[0,0]\n", + "idx = 8\n", + "print(f\"Diagnostic for sample {idx}: PP={PPs.values[idx]}, residual={10**Y[\"log(residual_1week)\"].values[idx]:.2e}\")\n", + "sim_result = SimulationResults.from_json(FOLDER/\"samples\"/f\"sample_{idx}.json\")\n", + "\n", + "fig, axs = plt.subplots(1,2, figsize=(14,5))\n", + "secax0 = axs[0].twinx()\n", + "secax1 = axs[1].twinx()\n", + "lns1 = axs[0].plot(sim_result.times, sim_result.inventories_T2_salt, label=\"T2 inventory\")\n", + "lns2 = secax0.plot(sim_result.times, sim_result.fluxes_T2, color=\"red\", linestyle=\":\", label=\"T2 extraction rate\")\n", + "lns = lns1 + lns2 \n", + "labels = [l.get_label() for l in lns]\n", + "axs[0].legend(lns, labels)\n", + "axs[0].xaxis.set_units(ureg.day)\n", + "axs[0].set_xlim(0, 8*ureg.day)\n", + "\n", + "for t in [8, 9, 10, 11]*ureg.hour:\n", + " idx_to_plot = pp.idx_from_t(sim_result.times, t)\n", + " time = sim_result.times[idx_to_plot].to(t.units)\n", + " axs[1].plot(sim_result.x_ct, sim_result.c_T2_solutions[idx_to_plot], label=f\"{time:.1f}\")\n", + " secax1.plot(sim_result.x_ct, sim_result.y_T2_solutions[idx_to_plot], linestyle=\"--\", alpha=0.5)\n", + "axs[1].set_ylim(0)\n", + "axs[1].set_title(\"c_T2 (left) - y_T2 (right)\")\n", + "axs[1].legend()\n", + "fig.suptitle(f\"{FOLDER} - sample {idx} - PP={PPs.values[idx,0]:.2f}, residual={10**Y['log(residual_1week)'].values[idx]:.2e}, h_l={10**X['log(h_l)'].values[idx]:.2e}, K_s={10**X['log(K_s)'].values[idx]:.2e}\")\n", + "fig.tight_layout()\n", + "\n", + "FOLDER_PP = FOLDER / \"postprocessing\"\n", + "FOLDER_PP.mkdir(exist_ok=True)\n", + "fig.savefig(FOLDER_PP / f\"diagnostic_sample_{idx}.png\", dpi=150)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "50166b05", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fitting from t=8.000e+00 h to t=2.400e+01 h (indices 40 to 120)\n", + "std:[3.21389940e-06 3.69589746e-22]\n", + "Fitted parameters: n0 = 2.39e-12 molT2, tau = 14254.56 second\n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0.5, 0.98, 'sample 8, tau = 14254.56 second, n0=2.39e-12 molT2')" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "t_0 = 8 * ureg.hour\n", + "t_1 = 24 * ureg.hour\n", + "t_plot = 24 * ureg.hour\n", + "idx_0 = pp.idx_from_t(sim_result.times, t_0)\n", + "idx_1 = pp.idx_from_t(sim_result.times, t_1)\n", + "idx_plot = pp.idx_from_t(sim_result.times, t_plot)\n", + "\n", + "popt,pcov = pp.fit_exp(sim_result.inventories_T2_salt, sim_result.times, t_0, t_1, phase=\"decay\")\n", + "tau, n0 = popt\n", + "print(f\"Fitted parameters: n0 = {n0:.2e}, tau = {tau.to('s'):.2f}\")\n", + "\n", + "# fig, ax = plt.subplots(2,1, figsize=(10,8))\n", + "fig,ax = plt.subplots(1,1)\n", + "ax.plot(sim_result.times[:idx_plot], sim_result.inventories_T2_salt[:idx_plot], label=\"T2 inventory\")\n", + "t_fit = np.linspace(8 * ureg.hour, t_plot, 100)\n", + "ax.plot(t_fit, n0 * np.exp(-(t_fit-t_0) / tau), label=\"Fitted exp decay\", linestyle=\"--\")\n", + "ax.legend()\n", + "ax.xaxis.set_units(ureg.hour)\n", + "ax.grid()\n", + "\n", + "fig.suptitle(f\"sample {idx}, tau = {tau.to('s'):.2f}, n0={n0:.2e}\")\n", + "# ax[1].plot(sim_result.times[idx_0:idx_plot+1], sim_result.inventories_T2_salt[idx_0:idx_plot+1] - n0 * np.exp(-(sim_result.times[idx_0:idx_plot+1]-t_0) / tau), label=\"Error\")\n", + "# ax[1].xaxis.set_units(ureg.hour)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "autoemulate_env", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/sensitivity.py b/sensitivity.py new file mode 100644 index 0000000..1b7ec6b --- /dev/null +++ b/sensitivity.py @@ -0,0 +1,199 @@ +from datetime import datetime +from pathlib import Path + +from sparging.inputs import ( + LIBRA_PI_GEOM, + LIBRA_PI_MAT, + LIBRA_PI_OPERATING_PARAMS, + LIBRA_PI_SPARGING_PARAMS, + SimulationInput, +) +from sparging.model import Simulation, SimulationResults +from sparging.config import ureg +import logging +from dataclasses import replace + +import matplotlib.pyplot as plt +import sparging.postprocess as pp +import numpy as np + +from autoemulate.simulations.base import Simulator +from autoemulate import AutoEmulate +from autoemulate.core.sensitivity_analysis import SensitivityAnalysis + +import torch +import pandas as pd +import json + + +logger = logging.getLogger(__name__) +logging.basicConfig(level=logging.WARNING) + +FOLDER = Path("training") / datetime.now().strftime("%Y%m%d_%H%M%S") +FOLDER.mkdir(exist_ok=True, parents=True) +FOLDER_SAMPLES = FOLDER / "samples" +FOLDER_SAMPLES.mkdir(exist_ok=True, parents=True) +FOLDER_PP = FOLDER / "postprocessing" +FOLDER_PP.mkdir(exist_ok=True) + +outputs = [] +t_irr = 8 * ureg.hour +t_sparging = 7 * ureg.day + +librapi = SimulationInput.from_parameters( + LIBRA_PI_GEOM.copy(), + LIBRA_PI_MAT.copy(), + LIBRA_PI_OPERATING_PARAMS.copy(), + LIBRA_PI_SPARGING_PARAMS.copy(), +) + +# for i, (P, T) in enumerate(samples): +# librapi = SimulationInput.from_parameters( +# LIBRA_PI_GEOM.copy(), +# LIBRA_PI_MAT.copy(), +# replace(LIBRA_PI_OPERATING_PARAMS, temperature=T, P_top=P), +# LIBRA_PI_SPARGING_PARAMS.copy(), +# ) + +# tau = librapi.get_tau() +# librapi.signal_irr = lambda t: 1 if t <= t_irr else 0 +# librapi.signal_sparging = lambda t: 0 if t <= t_irr else 1 + +# my_simulation = Simulation( +# librapi, +# t_final=t_irr + t_sparging, +# ) +# print(f"Running simulation {i} with P={P}, T={T}, tau={tau.to('hour')}") +# outputs.append(my_simulation.solve(dt=8 * ureg.hour)) + +# get sim results from JSON file +# for i in range(len(samples)): +# outputs.append(SimulationResults.from_json(f"output_{i}.json")) + +# fig, ax = plt.subplots() +# residuals = [] + +# for i in range(len(outputs)): +# res = pp.get_residual_fraction( +# outputs[i].inventories_T2_salt, outputs[i].times, t_irr, t_irr + 1 * ureg.week +# ) +# residuals.append(res) +# print(res) + + +class SpargingProblem(Simulator): + def __init__(self, parameters_range, output_names): + self.counter = 0 + super().__init__(parameters_range, output_names) + + def _forward(self, x: torch.Tensor) -> torch.Tensor: + # construct simulation input + sim_input = librapi.copy() + sim_input.h_l = np.power(10, x[0, 0].item()) * ureg("m/s") + sim_input.eps_g = np.power(10, x[0, 1].item()) * ureg.dimensionless + sim_input.a = x[0, 2].item() * ureg("m**-1") + sim_input.temperature = x[0, 3].item() * ureg.celsius + sim_input.K_s = np.power(10, x[0, 4].item()) * ureg( + "mol/m**3/Pa" + ) # express in molT2 ? + sim_input.u_g0 = x[0, 5].item() * ureg("m/s") + sim_input.signal_irr = lambda t: 1 if t <= t_irr else 0 + sim_input.signal_sparging = lambda t: 0 if t <= t_irr else 1 + + # breakpoint() + + full_model = Simulation( + sim_input, + t_final=t_irr + t_sparging, + ) + sim_output = full_model.solve(dt=0.2 * ureg.hour) + sim_output.to_json( + FOLDER_SAMPLES / f"sample_{self.counter}.json" + ) # for debugging + self.counter += 1 + + residual_fraction = pp.get_residual_fraction( + sim_output.inventories_T2_salt, + sim_output.times, + t_irr, + t_irr + 1 * ureg.week, + ) + PP_numbers.append(sim_input.get_PP_number().to("dimensionless").magnitude) + y = torch.tensor( + [[np.log10(residual_fraction.magnitude)]], + dtype=torch.float64, + ) + return y + + +simulator = SpargingProblem( + # parameters_range={ + # "log(h_l)": tuple(np.log10((1e-6, 1e-4))), + # "log(eps_g)": tuple(np.log10((1e-4, 2e-1))), + # "a": (0.05, 0.5), + # "temperature": (450, 800), + # "log(K_s)": tuple(np.log10((1e-6, 1e-1))), + # "u_g0": (0.02, 0.4), + # }, + parameters_range={ + "log(h_l)": tuple(np.log10((1e-3, 1e-2))), + "log(eps_g)": tuple(np.log10((1e-4, 2e-1))), + "a": (0.05, 0.3), + "temperature": (700, 800), + "log(K_s)": tuple(np.log10((1e-3, 1e-1))), + "u_g0": (0.02, 0.1), + }, + output_names=["log(residual_1week)"], +) + +n_samples = 50 + +X = simulator.sample_inputs(n_samples) + +PP_numbers = [] +Y, _ = simulator.forward_batch(X, allow_failures=False) + +# save training data +pd.DataFrame(Y, columns=simulator.output_names).to_csv( + FOLDER / "simulator_outputs.csv", index=False +) +pd.DataFrame(X, columns=simulator.param_names).to_csv( + FOLDER / "simulator_inputs.csv", index=False +) +pd.DataFrame(PP_numbers, columns=["PP_number"]).to_csv( + FOLDER / "PP_numbers.csv", index=False +) + +# Run AutoEmulate with default settings +ae = AutoEmulate(X, Y, log_level="WARNING") +ae.summarise() + +# pick best model +emulator = ae.best_result() +print(f"Selected model: {emulator.model_name} with id: {emulator.id}") + +# The use_timestamp paramater ensures a new result is saved each time the save method is called +best_result_filepath = ae.save(emulator, FOLDER, use_timestamp=False) +print("Model and metadata saved to: ", best_result_filepath) + +ae.plot_preds( + emulator, + output_names=simulator.output_names, + fname=FOLDER_PP / "predictions.png", +) + + +# === Sensitivity analysis === +problem = { + "num_vars": simulator.in_dim, + "names": simulator.param_names, + "bounds": simulator.param_bounds, + "output_names": simulator.output_names, +} + +with open(FOLDER / "problem.json", "w") as f: + json.dump(problem, f, indent=4) + +sa = SensitivityAnalysis(emulator.model, problem=problem) +sobol_df = sa.run("sobol") +sa.plot_sobol(sobol_df, index="ST", fname=FOLDER_PP / "sobol.png") From d1f8bdbdcffa349ae24e0e396e1977357a0c50ad Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Thu, 23 Apr 2026 18:42:47 -0400 Subject: [PATCH 101/121] post processing functions Co-authored-by: Copilot --- sparging101.py | 37 +++++++------- src/sparging/config.py | 1 + src/sparging/model.py | 7 ++- src/sparging/postprocess.py | 96 +++++++++++++++++++++++++++++-------- 4 files changed, 96 insertions(+), 45 deletions(-) diff --git a/sparging101.py b/sparging101.py index 4419710..298b3de 100644 --- a/sparging101.py +++ b/sparging101.py @@ -4,10 +4,9 @@ from sparging import animation from sparging.model import Simulation from sparging.inputs import ( - get_sim_input, - librapi_input_dict, get_sim_input_standard, ) +import sparging.postprocess as pp import logging from typing import TYPE_CHECKING import numpy as np @@ -30,8 +29,8 @@ my_input.get_c_T2_SS().to('molT2/m^3') }" ) -T_99 = (np.log(100) * my_input.get_tau()).to("seconds") -print(f"T_99% = {T_99.to('hours')}") +tau = my_input.get_tau().to("seconds") +print(f"tau = {tau.to('hours')}") print(f"Partial pressure number PP = {my_input.get_PP_number()}") @@ -48,15 +47,16 @@ def profile_source_T(z: pint.Quantity | list[float], height: pint.Quantity = Non return np.pi / 2 * np.sin(np.pi / height * z) # normalized else: raise NotImplementedError("z must be either a float or a pint.Quantity") - # return 0.5 * (1 + np.cos(0.5 * np.pi / (1 * ureg.m) * z)) -my_input.profile_source_T = profile_source_T -my_input.signal_irr = lambda t: 1 if t < T_99 else 0 +t_final = 50 * ureg.hour +t_irr = 20 * ureg.hour +my_input.signal_irr = lambda t: 1 if t <= t_irr else 0 +my_input.signal_sparging = lambda t: 1 my_simulation = Simulation( my_input, - t_final=2 * T_99, + t_final=t_final, profile_pressure_hydrostatic=True, ) @@ -64,16 +64,13 @@ def profile_source_T(z: pint.Quantity | list[float], height: pint.Quantity = Non # my_simulation.sim_input.E_g *= 1e5 # my_simulation.sim_input.E_l *= 1e-5 output = my_simulation.solve(fast_solve=True) - - # # save output to file - # output.profiles_to_csv(f"output_{tank_height}m.csv") - - # # plot results - # from sparging import plotting - # plotting.plot_animation(output) - - # import matplotlib.pyplot as plt - - # plt.plot(output.times, output.inventories_T2_salt) - # plt.show() + output.to_json("temp.json") + popt, pcov = pp.fit_exp( + output.inventories_T2_salt, output.times, 0 * ureg.s, t_irr, phase="rampup" + ) + print(f"Fitted parameters: n0 = {popt[1]}, tau = {popt[0].to('h')}") + popt, pcov = pp.fit_exp( + output.inventories_T2_salt, output.times, t_irr, t_final, phase="decay" + ) + print(f"Fitted parameters: n0 = {popt[1]}, tau = {popt[0].to('h')}") animation.create_animation(output, show_activity=False) diff --git a/src/sparging/config.py b/src/sparging/config.py index 4b85466..7ebbde9 100644 --- a/src/sparging/config.py +++ b/src/sparging/config.py @@ -5,6 +5,7 @@ ureg = UnitRegistry( autoconvert_offset_to_baseunit=True ) # to deal with offset units (eg: degree celsius) +ureg.setup_matplotlib(True) ureg.formatter.default_format = ".3e~D" ureg.define("triton = [tritium] = T") ureg.define(f"molT = {const.N_A} * triton") diff --git a/src/sparging/model.py b/src/sparging/model.py index a168477..6b5f066 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -226,7 +226,7 @@ def solve( tank_volume = self.sim_input.volume.to("m**3").magnitude a = self.sim_input.a.to("1/m").magnitude h_l = self.sim_input.h_l.to("m/s").magnitude - K_s = self.sim_input.K_s.to("mol/m**3/Pa").magnitude + K_s = self.sim_input.K_s.to("mol/m**3/Pa").magnitude # convert to molT2 ? P_0 = self.sim_input.P_bottom.to("Pa").magnitude T = self.sim_input.temperature.to("K").magnitude eps_g = self.sim_input.eps_g.to("dimensionless").magnitude @@ -474,6 +474,8 @@ def post_process(t): # SOLVE while t < t_final: + # advance time + t += dt # update time-dependent terms gen_T2_ave.value = ( Q_T2 / tank_volume * self.sim_input.signal_irr(t * ureg.s) @@ -487,9 +489,6 @@ def post_process(t): post_process(t) - # advance time - t += dt - # TODO reattach units using wrapping # https://pint.readthedocs.io/en/stable/advanced/performance.html#a-safer-method-wrapping results = SimulationResults( diff --git a/src/sparging/postprocess.py b/src/sparging/postprocess.py index 7a2c8e2..50dc531 100644 --- a/src/sparging/postprocess.py +++ b/src/sparging/postprocess.py @@ -2,6 +2,8 @@ from sparging.config import ureg from typing import TYPE_CHECKING import numpy as np +import warnings +from scipy.optimize import curve_fit if TYPE_CHECKING: import pint @@ -9,12 +11,14 @@ import matplotlib.pyplot as plt -def indices_from_times(sim_output: SimulationResults, times_ref: list[pint.Quantity]): - i_matching = [np.argmin(np.abs(sim_output.times - t)) for t in times_ref] - times_matching = [sim_output.times[i] for i in i_matching] - - assert len(i_matching) == len(times_ref) - return i_matching, times_matching +def idx_from_t(times: list[pint.Quantity], timestamp: pint.Quantity) -> pint.Quantity: + idx = np.argmin(np.abs(times - timestamp)) + time = times[idx].to(timestamp.units) + if not np.isclose(times[idx], timestamp): + warnings.warn( + f"Requested time {timestamp} does not exactly match discrete times. Using closest time {time} for index calculation." + ) + return idx def plot_profile( @@ -25,9 +29,9 @@ def plot_profile( colors: list = None, **kwargs, ): - i_to_plot, _ = indices_from_times(sim_output, times) + idx_to_plot = [idx_from_t(sim_output.times, t) for t in times] y_to_plot = getattr(sim_output, var_name) - for j, idx in enumerate(i_to_plot): + for j, idx in enumerate(idx_to_plot): ax.plot( sim_output.x_ct, y_to_plot[idx], @@ -35,16 +39,66 @@ def plot_profile( c=colors[j] if colors is not None else None, **kwargs, ) - ax.legend() - ax.set_xlabel(r"z [m]") - ax.set_ylabel(var_name) # TODO leverage pint for units - ax.set_title(var_name + " profile") - ax.grid() - - -def plot_signal(sim_output: SimulationResults, ax: plt.Axes, var_name: str, **kwargs): - ax.plot(sim_output.times, getattr(sim_output, var_name), **kwargs) - # ax.set_xlabel(r"t [s]") - # ax.set_ylabel(var_name) # TODO leverage pint for units - # ax.set_title(var_name + " profile") - # ax.grid() + + +# TODO remove +# def plot_signal(sim_output: SimulationResults, ax: plt.Axes, var_name: str, **kwargs): +# ax.plot(sim_output.times, getattr(sim_output, var_name), **kwargs) +# # ax.set_xlabel(r"t [s]") +# # ax.set_ylabel(var_name) # TODO leverage pint for units +# # ax.set_title(var_name + " profile") +# # ax.grid() + + +def get_residual_fraction( + T2_inventories: np.ndarray[pint.Quantity], + times: np.ndarray[pint.Quantity], + t_0: pint.Quantity, + t_end: pint.Quantity, +) -> pint.Quantity: + i_0 = idx_from_t(times, t_0) + i_end = idx_from_t(times, t_end) + return T2_inventories[i_end] / T2_inventories[i_0] + + +def fit_exp( + vec: np.ndarray[pint.Quantity], + times: np.ndarray[pint.Quantity], + t_0: pint.Quantity, + t_end: pint.Quantity, + phase: str, +): # TODO add warning if error or std is too large + """ + - phase = 'decay' or 'rampup' + """ + + def fitting_func(t, tau, n0): + match phase: + case "decay": + return n0 * np.exp(-t / tau) + case "rampup": + return n0 * (1 - np.exp(-t / tau)) + case _: + raise ValueError("Invalid phase. Must be 'decay' or 'rampup'.") + + idx_0 = idx_from_t(times, t_0) + idx_end = idx_from_t(times, t_end) + t_0 = times[idx_0] + t_end = times[idx_end] + print( + f"Fitting from t={t_0.to('hour')} to t={t_end.to('hour')} (indices {idx_0} to {idx_end})" + ) + tau_guess = 10000 * ureg.s + n0_guess = vec[idx_0] if phase == "decay" else vec[idx_end] + + # wrapped_fitting_func = ureg.wraps(vec.units, (None, vec.units, "s"))(fitting_func) + + popt, pcov = curve_fit( + fitting_func, + (times[idx_0 : idx_end + 1] - t_0).to("s").magnitude, + vec[idx_0 : idx_end + 1].magnitude, + p0=[tau_guess.to("s").magnitude, n0_guess.magnitude], + ) + print(f"std:{np.sqrt(np.diag(pcov))}") + + return (popt[0] * ureg.s, popt[1] * vec.units), pcov From df1fc37e15ff6faf4680f4463cac18a6c2507916 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Mon, 27 Apr 2026 09:23:42 -0400 Subject: [PATCH 102/121] added characteristic time as a metric --- sensitivity.ipynb | 172 ++++++++++++++++++++---------------- sensitivity.py | 107 +++++++++++----------- sparging101.py | 2 +- src/sparging/inputs.py | 6 +- src/sparging/postprocess.py | 40 ++++++++- 5 files changed, 187 insertions(+), 140 deletions(-) diff --git a/sensitivity.ipynb b/sensitivity.ipynb index 725afb4..0548d30 100644 --- a/sensitivity.ipynb +++ b/sensitivity.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 69, "id": "34bbbb98", "metadata": {}, "outputs": [], @@ -11,16 +11,18 @@ "import torch\n", "import pandas as pd\n", "from pathlib import Path\n", + "from sparging.config import ureg\n", "\n", "# FOLDER = Path(\"/home/monroe/libra_pi/libra_sparging/20260422_164947\")\n", - "FOLDER = Path(\"training/20260423_123916\")\n", + "FOLDER = Path(\"training/20260424_115242\")\n", + "t_residual = 1 * ureg.day\n", "\n", "# model = AutoEmulate.load_model(FOLDER / \"GaussianProcessRBF_1_20260422_165335.joblib\")\n" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 70, "id": "9e04a7db", "metadata": {}, "outputs": [], @@ -32,15 +34,23 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 71, "id": "e25078c0", "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_1486953/3239760125.py:29: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", + " fig.tight_layout()\n" + ] + }, { "data": { - "image/png": "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", + "image/png": "iVBORw0KGgoAAAANSUhEUgAABKMAAAJOCAYAAABr8MR3AAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjgsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvwVt1zgAAAAlwSFlzAAAPYQAAD2EBqD+naQAA5iRJREFUeJzs3Qd4k1UXB/B/ku4JHVBG2XsjyJYlMgQBQRRRBGWIisgnLsSBA3HgBMWNCiqKijJkCjJkT9l7lFEotHTPJN9zbklN27RNSzP7//m80rx5k9zeNMnJee89V2M0Go0gIiIiIiIiIiKyA609HoSIiIiIiIiIiEgwGUVERERERERERHbDZBQREREREREREdkNk1FERERERERERGQ3TEYREREREREREZHdMBlFRERERERERER2w2QUERERERERERHZDZNRRERERERERERkN0xGERERERERERGR3TAZ5YI2bdqEqVOn4tq1aza5/5EjR6JGjRoluu0333wDjUaD06dPwx7+/fdf9Xi7d+/GxYsX8cILL6B9+/YICwtDUFAQWrVqhc8//xx6vT7fbZOSkjBx4kRUrlwZPj4+aNGiBebPn5/rGLnde++9h969e6Nq1arw8/NDw4YN8dxzzxXY/2fOnMFDDz2k7tfb2xtVqlTBnXfeme+4y5cvq76Wtsr9Srv/+uuvQn/f1NRU1KtXT/3OM2bMyHXdzp078dhjj6Fp06YIDAxExYoV0aNHD6xZs6bIfrz//vvVffbr1w/FdeDAATz66KOq/f7+/up+/v77b4vHfvfddxg6dCjq168PrVZb4N+Z3F7ux9K2ZcuWG3p+TA4ePKieH7nPHTt25Lrut99+w7333os6derA19dXtfO+++7DsWPHUNpMv2tBfebq5L1Afj95byiKvK/Jsc7SHmvFxsaqv+sKFSqo+x44cKD6+5Lfx17vhSbyHiivY3nfkbbIe8yNssfzQkTFx3jwP4wH/8N40DXjQUfFDc7KFK+Ztl9++aVYt5fveKbbBgQE2KyddGOYjHLR4OOVV16xWTLqxRdfxMKFC0t02759+2Lz5s2oVKkS7OHXX39FzZo10bJlS/XhK8mOW2+9Vf0r13Xp0gWPPPIIxowZk++2gwYNwrfffouXX34Zy5Ytw80336w+cH744YdcyR/5YKhevTo++OAD/Pnnn+q+JMHVsWNHdb25/fv3qwSY/CvJolWrVqlkSfny5XMdl56ertopyacPP/wQf/zxh0oeSVJl3bp1hT43ycnJFq/78ccfsW3bNpUIk/v78ssv1YerqT8KsnTpUvz+++8qeVcS8sEttw8JCVGPVZi5c+eq5FWbNm1Qu3btIu/7jTfeUH9P5luTJk1K/PyYJ7GknyQRaMlbb72FlJQUTJkyBcuXL8frr7+uEp433XSTaj9ZT94L5HmT9wZ39dprr6n3zPfff1/9rm+//bYKKuV92t5BpbTh6tWr6N+/P7y8vOz62ERkX4wH/8N48D+MB10zHnRU3ODs5CSbxFbdu3cv1u3+97//qdvdfvvtNmsblQIjuZx33nnHKE/dqVOnrDo+JSXF6K4aNWpkfOqpp9TPsbGxxoyMjHzHPPbYY6q/zp49m7Nv6dKlat8PP/yQ69jbbrvNWLlyZWNWVpa6LP9euXIl330uWLBA3X7u3Lk5+wwGg7FFixZqS0tLK7TdH3/8sbr9pk2bcvZlZmaq36dNmzYWb7N161ajl5dXzmPL34G5S5cu5buNtL9Zs2bG2rVrW7zPa9euGatUqWJ87733jNWrVzf27dvXWFx6vT7nZ1Pb1q5dW+Sx8ljymJbI7eV+5P4KU5znx5z0nfzeH374oTpu+/btRfbl+fPnjZ6ensZRo0YZS5Ppdy2oz+wtOTnZYY/98ssvq76wJXnflMeYM2dOqd1njx49jA0bNsy1r6jXgq2eH/PXmL+/v3HEiBEu8bwQUfExHvwP48H/MB50zXjQVnGDqyqteE3iIImHyDlxZJSLkVEgTz/9tPpZRgSZhh+apvjI8FGZoiHDSmW0kEw/kyy7+Pjjj9G5c2c1lUSmU8l0LjmDn5mZWeQ0PXmM8ePHq5EtMuxVhr82b94cS5YsKXKaXteuXdVolu3bt+OWW25Rt61VqxbefPNNGAyGXLeXsww9e/ZUx4SHh6tpZzJyx9I0psOHD6uzCIMHD1aXZfSRp6dnvj6TUTji3LlzOftkFIMM2RwyZEiuYx988EFcuHABW7duVZd1Oh1CQ0MLvM+oqKicfevXr8eePXvUsFAZkVQYeXyZqiZT20w8PDzUdDkZ3XT+/Plcx2dkZKgzN9IfrVu3tnif8rzmJe2XkVrm7TQ3adIkNXJlwoQJKCmZbmeLY61RnOfHRIZWv/TSS/jkk08KHA1mqS9l2qVMBSyoL0vbokWL1N+HvBZk2uVtt92mzvDkJaPgmjVrpv7m5HUlI+2snVZlem3K326HDh3UY8nfmUhISMBTTz2l3mdkhI1M+5K/7bwj8xYsWIC2bdsiODg457Vtuo/CpsXJ61qmxkq75THyTjst7LZC9svvaXL8+HH1+q1bt65qh7T3jjvuwL59+1ASaWlp6vUhbZTfTUb+yfMh/Z23fatXr8ahQ4dy3o+lvab3lm7duuXabyK3kZGE8jco7ZUzt3mn6Zqex127duGuu+5S73FFjSi80deYNc+LtZ8nMmJM3tcsvWbkb0Reu9LPRFR8jAf/w3gwN8aDrhcPFhU3yEyLAQMGqMeV73YybfDhhx/GlStXrCq1Upzp9kXFJ9Jvcl3e71BSFkTicpnFYWL6XirfeyRWlbZLnPjRRx/hRsTExGDs2LGIjIxU8Yp8Z5R2StvJtTAZ5WJGjx6Nxx9/XP0sCSfT1CUZLmoiX1wkYSUJBhlSakrWnDhxAsOGDVMJJUkijRo1Cu+88456M7P2S8qsWbPw6quvquHQ8uVMaiGdPHmyyNtGR0erOdaSbJEv2X369MHkyZMxb968nGOk5pNMqzty5Ahmz56tppYlJiaqJJgl0gb5wilfhAsjb47yhUhqLZnINDpJqsl+c/JGabq+qPsUjRs3ztknX+iFJA5kSKi84UrCS96EJVAyJ/dveixLj5936K/0uSQB5MtdcWRlZWHDhg252mkib9jSxzKdTz48nJEk3+Q5kg+9Xr16YePGjVbdztLzI4xGo3oNyXMi05iKQ/7OpR6Ypb4sbTJVVIIO+b1luP1XX32FuLg4lTwy7wN5fct0U/lS/9NPP6lkgBwv00+tJa87eV3Ke4MMa5f6XzIkXV6Lcj/yPiLTWJ999lkVFEm/ST8Kee+55557VGAh9dbkPUICO/m7K4wENfL7yWtFbifvQz///DPmzJlT4j6TJLL0gyS5pV8kWSJ/O/L+IO8pxSVTaaUWlCTkZBqq9GunTp1Uf5umvZqmIEriX/rA9H4sgaRMMRXSDtN+01RFed+TpLs8v9LH8rvL+6n8jVuqGyePKYGnJP4+/fRT2EpxnhdrPk/kZ3kOPvvss1y3lX6V+5fbyPskERUf48H/MB4sGuNB544HJT4oLG6Qz1w5ISbfj1auXKliLTlxLnFJ3kEFN8Ka+ERO+n3xxReqhpMpqSTf8yQmkEEH5icKhelEvUybk6SUnPx84oknCjzZZY3hw4er2Ez6QfpDvstInVwpU0AuxtFDs6h0h2XLtCedTmc8cuRIkVM5ZFrYd999p46XKW7mwxnzTp+Sx6tYsaIxISEhZ190dLRRq9Uap0+fnrNPhlLmbVuXLl3UPplmlndIda9evXIuP/3000aNRmM8cOBAruPkGEvDVmU63OOPP17o77lixQrVxv/973+59tetWzfXY5tcuHBBPdYbb7xR4H2eO3dO9UXr1q1zTYl5+OGH1W2DgoLU0N3Vq1erYcHSl2FhYeq+TWR4rxyfl0zbyzt9cPfu3er45cuX5xq2mneaniVTpkxRx/7++++59icmJhpr1KhhnDx5cs6+kk7TK+kQ48Km6e3atcv4xBNPGBcuXGhcv3698euvv1bToORv1dQPxX1+xMyZM43ly5dXf7vmf695h2XnJa+Vrl27qufWfLqnLabpSZtlqmjTpk1ztV+eswoVKhg7dOiQs+/mm282RkZGGtPT03MdFxoaatW0KtNr86+//sq1X17T8rrJ2y+//PKLOv7PP/9Ul2fMmKEuy3TP4gyzbtu2rfodU1NTc/bJe0tISEiudhc2RFv2y/SxwqZwyrRdea2bv/5LOuxb7k/+DuS13bJly3z92LhxY6teCzLNTn7PO+64I9d+ea6bN2+ea5quaXrcSy+9ZCyJ4k7Ts/Z5Ke7nifzdmv+NvvXWW+rvy9qp5kRkGePBbIwHGQ+6QzxobQwtZUGkHWfOnFHH//HHH4V+h7N2un1x4hPxyCOPqPIhmzdvNnbv3l191pt/1xHSFvlut2fPnnxlUaQPCys9UFi8FhAQYJw4caLRGpym59w4MsoNyega81FAJlJwT7L/MnpARsLIlLYHHnhAFe87evRokfcrZ/vljLmJFNyW4atydqAoEREROUNlzdtpflsp3C1Thho1apTrOCkqbumshGTaTaO+LJERYnfffTfatWuH6dOn57u+sOGqBV0nZ/Rl1JN8F5aRKOZTYkxTDuXMhWToZYirjDiRzL0Mo5UzHcV9fDmTJdNZZPSJnJUoDmnDtGnT1FQjGe1gTlYXkedfzig4IxlpIgXJZVUyOcsi06+kUKuMRHnmmWcKvF1hz4/8rcloPBm9IX+71pL7khEcMsJMRsTIkOCijpfnzXwrDhnFI6N85KyPeftllJ38vctqgjJySUbKSfF46SPzQtVynExPs5ZM/cpbFFJGushrUaZrmf8e8jdoPmVWiv4LeZ3J2bO800stkXbLlF0Z7WM+KkbeW4rT7rykfXJWUd4/pD9kRI78K8PJZQpdSchIJBn2LX0q9yevGRmlVtL7E/J3LH+nI0aMyNW38v4hCxhI3+SdClnY+1xpKe7zYu3niZz9lJVDpS+F/J5yZlfO9pZ01VYisg7jwWyMBxkPumI8aE4+R8eNG6ce0xSPyOI94kZikhuJT2TBFBkdJt8PJS6UUVWWFrCSY6S0izkZRSXlIOS1WRLynVJG60tBeYmLS3N0GNkXk1FuyNIbwdmzZ9WXevmyKDVl5I1U3lRMCZKCVpkwZ6k2j8zTLa3bytBKSx8KlvbJ0FBJhMnwVEvki5LU2JGhpDL1KG8NJ2mPpaGc8iYsZEhqXjJNSu5T+lDmbsu0HEu/Y96kkXyhl+fE/A3X2seXhIwk3mTFP1k9UTZ58xZSa0Uuy5e/vGRajUyRkfnU8mFrTmpSyfx4mdJlug/Z5MNGPnTkZ5mi5GzKlSunhlPL8s2W/uaKen5kyp8kWOSLvel3lqSOSEpKQnx8fL77NA3jlg9Y+dDLm9SzRIY1S5BgvhWH6e/C0utY6hTI8yS/q2zSPmtfMwWx9DiXLl1S/Zz395DEhDymqUaB1AySZKv83UgiQmoZSB/LlLaCSLvld5AEdV6W9lnrySefVHUKJDm3ePFiNXxd3uMkALLmPSovmQYtSTaZCizPvwyXl/uT5PCN1DmSvhVSAypv/8qqPdK/pvcBE3usTlqc56U4nyeSWJZjTddJolNqbRU0/ZqISg/jQcaDjAddNx40kc9mmToncYmckJXpchLLSxJGlCTGKY34RL5bSVJJYiL5riMxuCWFxRUlnVYnJ5wlaSYn3mUQgHxvkjhUpguSa8ldMIfcgqURN/KFUbLZ8kZmyqQLGV3kLCRBY3ojNGfpjUXqA8iXTku1jiQRJfOG5feUecRSfDgvKbYrX5jlS7R53ShTsWP5kMr7RU3u89SpU+pDoLB6T5bIG7j5WRl5fEuFlfM+vtSWkg9FSarlJV+8ZZPfVz4EzAMP+cCUN2mpL5P370GKvkt7pN5XXlKMUUbKyNkOmd/tbEy1ivL+TtY8P9KXcjZMfr+85KyO/J1IQGL+WNKP0p8yGkZGuVlDRpHIF/OSMiU1pZZTXjJiSv6O5HeQ9kk/WPuaKc77hSxx7Ovri6+//tribcyXQJaATDZJYEpgJKMQJTiRUS/mBfpNpO3ymJbamHefaYRO3uSopeBFAkQJREw1F0wkcSaJzOKS+5MC3hLwmPfRjSZqTX03c+ZMNWrTkrzJRGuLjt6I4jwvxf08kbpjUuhUEvJSd1BG7hYUtBJR6WE8yHiQ8aDrxoPm7d27d69Kgklsb75wS14SN1mKU/IWOi+N+ETaJTMsZJS8/J7vvfeeOjGYV2FxhaXBCtaQtsoJe9nkBJnUI5ZZHzKCTOqGkutgMsoFmUb5FCcTbgpIzEcIyZurFKBzFlIwWYrZSbLEfKqeFLrNmzCRNz1Lxbzly5AkJWSEhoyOsfRBIyQRI7+7JLVkCpz5WQwZfWJeFN2U6JARSnKfcqbfEinKLqtOSLFnKdJnIl/A5E3X/I1dHl8KRcvoDdNjSWJMvgDLZWmDkDdWWRnDnNyXTF2U4brSdilsbCIfVPKBKR+UcrbAUiAqQ23Xrl2bb//QoUPVl29JJpjfp7OQ50FGVUjizXwakbXPj/wd5R3RIh9YcrZHknbmhSjltTFmzBgVeEjxZZkmaC35YC3ph6uQVRZlNI4UMZfi2abnUL78y9+raYU9ISsrSmJAXjemqXpyVi/vKpfFJSPQJKkjv4f8TVhD3lvkNSyJnxUrVqgkqaVklKy8JsOrJZEho/ZMz6UsViAjmvIGPXK9jNIyZ76inYn0U94RkFJQXUbvlOTvWe5P+tT8NSSvPUuPXZz3aZn2J30k73PONDqoOM9LcT9P5P2uWrVqasqwTMeWZLc9EmxE7o7xIONBxoPuEw8W9Hq29Jkr8i4OIuREoCRk5ESlKXEkK3JLXFaU4sQnEpPKSSZ5PPlOId9XZJP7yLuwlCzKJMk086l6EuPKaHvzBbhKSuILaa+cjP7nn39u+P7IvpiMckEyqkbI9AjJkMvwSfkCa17PKS85Cy1frORDS4Z4ypuw1O2QN25nISNxZCSGJHVk9Th5E5U3K9NKdKaRRfKFXN4s5exF3lo78iEkpFaS1IqRzUSWRJelP4U8hvTJI488oqa9yZdVGSklH0aSEDKNuJIPBJl2J1+sJfsuCSPTsFgh92daal3aJO2WBIIkkKSv5curjF6SN0pJPpnIVB+ZtiJv5LL6l0w5lKlz8juYL0vaoEEDtZmTKS6m30dWVzORmiwyl12SNTJFT4bwmpMPZfkgk6GxlobMypdP+dA0v09ryNBmmQopTH0jXzjlLIx8wZW+NpEPONmE9I3cVqZcCklAmpKQMrJG+kySLXL2Q57Hd999V324mpa5Le7zY+ksj6kvW7VqpR7LfCSHnP2S50leb+b3KX1YUIBTGuTvXKZQyuqTkhSS51LOckmCQM7Uyd+Lify9Se0d6QOpzSNTNuU4qXGUd6pXcV+L8jqTaXiSWJWRZjJMXM4+yWhDSSpIsCFnxM6dO6fqo0kCWNon70vyniSJqYJIIlmSovIalPuSdksQKH8v5u2WAEwSq/K+IM+jBDLydy3vC3lJX8nfhrxepL07d+5UfSHtKgm5P0nMyOtWhqxLElzaLdNezN9XCmIa3fj555+r92Z5fUliT15jctZR3rvld5X7lte/LFMswZr8K+/NJSWvPbkPIf0qZ39NrzF5TkzvgTfyvBT380TeT2VahKzIKPeVN8FORCXDeJDxoGA86B7xYEFxg8Q10nZJ9khyTKakyUkiSbjlJSepJTaTE8yysrp8PsuKd5ZKeuQlsaO18YmcEJeYUGIy+VyXGF3KGcjjynNgPiJdTrBLjUlZZU9iKPmeJW2X+MJ0crU4ZMaIfAeU7wrSN9JXMkjBtMI0uRhHV1CnkpFV0GTVI1mRyHzlhcJWRFu8eLFaDcHHx8dYpUoVtXrdsmXL8q3cUNBqeo899li++5TjzFdrKmg1vbwrTRX0OPv37zf26NFDtVFWdJCVq7799lt1n3v37lXHdOrUyeIKUabHLmjLuxqDrDo2YcIEY0REhFoNolmzZsYff/zR4koOBW2W2vHFF18YmzRpou5TVjW77777jFFRUfmOkxU8HnjgAfV7yu/brl0746pVq4xFKWg1PWlLYW0tauWqkq6mV1gf5X1+Tat5WNrMV0aT1dxkdZzg4GC1Old4eLjxzjvvNG7btu2Gnx9zBa2eIu229ncq7dX0TGQFRFndTP42ZFW0W2+91fjPP//ku72sOCgr78nfW7Vq1Yxvvvmm+ruWVWKKUtBrUyQlJRlfeOEFY/369dV9y3MhjyMr05lWn1myZImxT58+6v1EjpGVVG6//Xbjhg0bilwNZdGiReo1Z95uS6u9xMfHG0ePHq1WxJF+kFVeTp8+ne9vJi4uTr1fSBv8/PzU+4S0Q35H2YpqjyXSJll10tvbW63mKK9tS20sqB8/+OADY82aNdXfcN7HXLdunXq9yetfVsuUPpTLspqOiemxYmJiimyreVsK+tu1ZpVLa58Xaz9PTEzP2bhx46z+XYioaIwHGQ8yHnSPeLCwuOHgwYNqBbrAwEAV3w0ZMkSt5mdpZWFZ8VhiaF9fX2OtWrWMs2bNsmo1PWvjE4mFLMVRx48fVyvkDRw4MN93C1mNWeIkiS0krnrvvfeKbEdB8VpaWpqKJSRWkceT31NiVfkdLa3Ox9X0nJtG/ufohBhRYaQIt4xakjoxkqmXKUwyNelGVt4icleyooiMjpPXiYxiInIGcrZVzjBLjQnzKRBERNZiPEjkWmQan4z4Kkn5CBmtJiPDZGSa1ASVUdbFmeIvI/plk1kjMtpfyliQ8+E0PXIqMu1IhnPKyhem2jdS++iFF15Q00Jkepk1Q02Jygr5kJVpUzL0WaY+Sr0DWeZXpssROZoM15eFBeS9XQrdMxFFRNZgPEhEpjhXNilHIlMHrSXF1E2xsEwlJOfEZBQ5Fak1I3VepA6NzPeWVeRkdQaph0P2JUm/wgZOytkJS6sZkn1JgWmpUyZz+eX1I8UgpYaXqX4akSNJ8XJJkt5yyy0qUUpEZA3Gg86D8SA5ggxOMF+N0FTzy1pS+9K08iG/rzgvTtMjIoukkLkUQy6ILOluKvhIRERERO6H8SAR2QqTUURkkazsJ6NuCiKriJhW8iEiIiIi98N4kIhshckoIiIiIiIiIiKyG639HoqIiIiIiIiIiMo6FjAvgiwJeeHCBQQGBhZrOUkiIiJyHbJgg0xNlqKpWi3P1ZUGxlBERETuzXgD8ROTUUWQRFRkZOSNPD9ERETkIqKiolC1alVHN8MtMIYiIiIqG6JKED8xGVUEGRFl6tygoKCSPztERETktBISEtTJJ9PnPt04xlBERETuLeEG4icmo4pgmponiSgmo4iIiNwbp+SXfl8yhiIiInJvmhKUNGJRBCIiIiIiIiIishsmo4iIiIiIiIiIyG6YjCIiIiIiIiIiIrthMoqIiIiIiIiIiOyGySgiIiIiIiIiIrIbJqOIiIiIiIiIiMhumIwiIiIiIiIiIiK7YTKKiIiIiIiIiIjshskoIiIiIiIiIiKyG5dIRp0+fRqjRo1CzZo14evri9q1a+Pll19GRkZGobczGo2YOnUqKleurG7XtWtXHDhwwG7tJiIiInIkxlBERETkjFwiGXX48GEYDAZ89tlnKpn0/vvv49NPP8Xzzz9f6O3efvttvPfee5g1axa2b9+OiIgI3HbbbUhMTLRb24mIiIgchTEUEREROSONUYYPuaB33nkHs2fPxsmTJy1eL7+WjIiaOHEinn32WbUvPT0dFStWxFtvvYWHH37YqsdJSEhAcHAw4uPjERQUVKq/AxERETmHsvR5zxiKiIiIHB0/ucTIKEvklw0JCSnw+lOnTiE6Oho9e/bM2eft7Y0uXbpg06ZNBd5OElbSoeYbERERkbtgDEVERESO5pLJqBMnTmDmzJkYN25cgcdIIkrISChzctl0nSXTp09XmT3TFhkZWYotJyIiInIcxlBERESEsp6MkuLiGo2m0G3Hjh25bnPhwgX07t0bQ4YMwejRo4t8DLmPvNP38u4zN3nyZHXG0LRFRUXdwG9IREREVPoYQxEREZEr83Dkg48fPx5Dhw4t9JgaNWrkSkR169YN7du3x+eff17o7aRYuZBRUJUqVcrZf/ny5XyjpczJVD7ZiNxJWko6Ni7aiYunYhBQzg+d+rdCeJWCp7kSEZFzYwxFZB8n/j2D7Sv2IisjC3Va1sTNvZpDp3PJySVERE7FocmosLAwtVnj/PnzKhHVqlUrzJkzB1pt4R8CNWvWVAmpVatWoWXLlmpfRkYG1q1bpwqYE5UVaxdsxUdPzkVqUhp0Hjq1MuXnL/yMvg92wSNv3qv2ERGRa2EMRWRbCbFJeGP4LOxecwBanVbNrNBn6RFeNQQv/DABDW6uzaeAiOgGuERaX0ZEde3aVdVvmjFjBmJiYtSIp7y1nxo0aICFCxeqn+UDQ1bSe+ONN9S+/fv3Y+TIkfDz88OwYcMc9JsQ2dfWFf/irYe/UIkoIUGU0WBU29Kv1+HTyfP5lBARuTHGUETFp9cbMKX/29i77pC6bNAbVAwlrl6Mw3O3T8eFk5fYtURErjoyylorV67E8ePH1Va1atV8NaBMjhw5ouo8mTzzzDNITU3Fo48+iri4OLRt21bdV2BgoF3bT+QI8tr45rXfVGLW/HVifv2Sr//GPf+7HWGVyzukjUREZFuMoYiKT6blHd15yuJ1Br0R6amZ+PXDZXj8w5HsXiKiEtIYLX1LpRwJCQlqVT1JcgUFBbFnyGXIGbuHWk0p9BiNVoNx04diwNhb7dYuIiJnxM979imRyVsPzsbfC7aoEVEF8QvyxcJLhdewJSJydwk3kC9xiWl6RFR8SfGpRR6j1WqQFJ/C7iUiIiIyxVDXkgtNRAkpgcBz+kREJcdkFJGbqhAZqkY+FUafZUDlGhXs1iYiIiIiZ1e5dgR0HoV/TaoQGaZKIRARUckwGUXkpsqFBaJD35ZqBRiLNNlDzDv0y15tkoiIiIiAPg92USfsCiIn+/qN6c6uIiK6AUxGEbmx0a8OQUCwX76ElARR8t/EDx6At6+Xw9pHRERE5GxqNI7EkCf7WrxOYqo6zauj/yO32b1dRETuhMkoIjdWqUY4PlozJd8IqTrNquG1BU+g8503F3kfyQmpOLb3DE4fOg+DofD6CURERETuYNTr9+Dxj0YiPDI0Z5+Pnzf6P9wDb694Xv1cGKknde7YRRzZcQLxVxLs0GIiItfC1fSKwNV1yF0kxCYh5nws/IP9EFEtrMjjE68lY86rv2HVj5uQmZ6l9oVXDcHQJ2/H7SM6s04CEbkVft6zT4kskRNx545eRGZGFqrUrggff58iO2rTou2Y88KPOL0/Sl2WE4Kd7myDse88gIrVw9nRROQ2biR+8rBZq4jIqQSFBKjNGimJaXjq9rcRdSw612oyMediMfPJeSqpNXLKnTZsLREREZHjabVaVGtQxerjV323Dm+PnJXrpJ3EUhsXbsPedQfx8bY3mZAiIuI0PSKyZOHsVYg6erHAZY3nv/snzh2PZucRERERXZeSmIoPH/0iZ5qeOYmpEuOS8NXz37O/iIiYjCIiS5bOWQeDIXcQZU6n02L53I3sPCIiIqLr1i/YjPTU9AL7w5BlwPoFW1RSioiorGMBcyLKJSszC7GX4gvtFUlURZ+OYc8RERERXXfhRDQ8PHSF9oc+S48r52PZZ0RU5jEZRUS56Dx08PLxLLRXtDqNKoRORERERNkCywcUWOLAXEA5f3YZEZV5TEYRUS5ScLPbXW3VVLyC6LMM6Dq4DXuOiIiI6LrOQ9rDkKdWlDmtVoOG7eshvGoo+4yIyjyupkfk5I7vPYNl36zDuWPRCCzvjy6D26B935bw8LTdy/eux3vh71+3wZiema92lCxP3KhtbbTo3MBmj09ERER0I1KT0vDXDxux9c9dyEzLRN2bauL2MT1QqWYFm3Vsxerh6jGWffFXvgLm0EhRc2Dkq0Nt9vhERK5EY8z3TknmEhISEBwcjPj4eAQFBbFzyG7kpfn55PlY+MlK6Dy0ajSSTI8z6I2o2SQS0xc9hXJhtvubPLT9BKY9+BmuXIhTj280GFViqm2vZnjms1HwD+I0PSJyH/y8Z5+S+zh9IArP9nodcZfjoYFGxVRyMk3+nTBrFPqO6WHT2psfP/E1ln6+Wl3WaiWG06upeU9+MQ63DG5ns8cmInKl+InJKBt2LtGNWPT5X/jkqXkWr8senVQHM5ZPtmkn6/UG7PhrP078exZe3p5o07MZqtWvZNPHJCJyBH7es0/JPaSnZmBE/Qm4djnBcv0mDfDOqhfRvEtjm7Yj5txVbPxtK5LjU1ClbiV0HHgzvHy8bPqYRESuFD9xmh6RE5Ik0IL3/yzwegmu9m86imO7T6Nuyxo2a4fUjWrbs5naiIiIiJzdup83IfbitQKvl5FKC95bYvNklNSFunPC7TZ9DCIiV8YC5kRO6MKJS4gpYtlfGR21Y/U+u7WJiIiIyNltX7lXFQov7ITejhV789d0IiIiu2IyisgJSb0Ba1a9y8rU26U9RERERK5An6kvMtEkCSkmo4iIHIvJKCInVLlWRfgG+BR6jBTDrN+qpt3aREREROTs6rWuLWfsCrxeo9WgTosaaroeERE5Dt+FiZyQt68Xbn+wi1o9r6ApehUiQ9GqR1O7t42IiIjIWfUa2RU6D50qVG6JrA488PE+9m4WERHlwWQUkZMa/vydqN+qlpqOJ5t5IsrHzwsvzhuvCowTERERUbbyFYIxee7jauSTzuO/OMlUR+q24Z3R4/5b2F1ERA7Gb7JETsrH3xtvLXkWD795L6rWi4CnlweCQgMw4OEe+GTTazZdRY+IiIjIVd0yqC1mbZ6Grvd0gF+gLzy9PVG/TR2VpHrqq0c4RY+IyAlojKzeV6iEhAQEBwcjPj4eQUFB9npeiIiIyI74ec8+JSIiIvvFTxwZRUREREREREREduNhv4cicl/nj0dj46KdSE1MRdV6lXDLwJtVEXIiIiIisiwzIxP/LNyGU/vOwsvXCx0G3IyaTaqxu4iIygAmo4huQHpqBt579Cv8vWCLKiwuywXrM/X4ZNJcTPp0NDr2b83+JSIiIspj11/7MG3o+0i4mgidp06tcvfNi/PRtu9NmPz9E/AP8mOfERG5MU7TI7oBMx7+Aut/3ap+NugNKhElkhNT8dr9s7B3/SH2LxEREZGZ47tPYUrfN5AYl6QuS/wkcZTYvnwPXr7zbbCsLRGRe2MyiqiEzhw6j/W/bYPBYMx/pRHQaDSYN/139i8RERGRmR+n/6aSTzIaKi/Zv3ftARz45zD7jIjIjTEZRVRCkoiSqXkFkWDq3w2HEX8lkX1MREREdL1O1MaF23JGQlmi89Dh7582sb+IiNwYk1FEJZSckAKtVlPkcSmJqexjIiIiIgAZqRmFJqKETNGTOIuIiNwXk1FEJVSldgT0WYUHU14+nihfMZh9TERERATAN9AXgSEBRfZF5doR7C8iIjfG1fSISqjb3e3w2eQfkZmeafF6mcLXY1gn+Ph5s4+JyKbS0tKQkZFh9fFeXl7w8fGxaZuIiCzRarXo9/Bt+OntPwocISUjo3o/1J0dSEQOxfjKtpiMIiqhgHL+ePyDB/DeI19Bo9XkKsIpiaiwyuXxwJQ72b9EZPNAqWb1AERfzl7N0xoRERE4deoUE1JE5BD3PDMAm/7YjqgjF3IlpDQaSUQBY968H+FVQ/nsEJHDML6yPSajiG5Ar+GdERwaiO9e/w0n/j2b/aLy8kD3e9rjwal3cYoeEdmcjIiSRNSZnTUQFFj07PuERAOqtzqtbleao6NOnz6N1157DWvWrEF0dDQqV66M+++/H1OmTFEjsYiITPyD/fH+htfwzYvzsWLOWqSnZo/srFq/Cu5/8S50v7cTO4uIHMpZ4it3xmQU0Q1qd3tLtV06ewWpiWkIjwyFf5Av+5WIbkimIQurL23Bnxc24EJaDPx0PuhSoTX6V+6KCj4h+Y4PCNSorSgGFH1MSRw+fBgGgwGfffYZ6tSpg/3792PMmDFITk7GjBkzbPKYROS6AssH4PFZozH6rftx6XQMvH29EFGzAjQyPIqI6AacPBODBYt2Yv2WY8jM1KNOzXAM7nsTunVqYNUCVM4UX7kzJqOISknFamHsSyIqFRmGTEzdPxv74o9BAw2MMKp9i8+vw8rozXij6eOoE1gt1230RgP0/80WLpAcZwu9e/dWm0mtWrVw5MgRzJ49m8koIiqQr78PajSOZA8RUanYtP0EXpj+u4qd9NcDo4NHL2L/4SXYsusUJk/oU6yElKPjK3fG1fSIiIiczPyzy7E//rj6WYIpEwMMSNenY9rBL6A3Wl8jylHi4+MREpJ/FBcRERFRaUtITMXLby+C3mDISUQJw/XavivWHsCff+1jxzsJJqOIiIicSKYhE39e3JArCWXOACOuZFzD9tgD+fZbu4mEhIRcW3p6eqn+HidOnMDMmTMxbty4Ur1fIiIiIkuWrzmAjMwstRCCJTILWKbvFUdx4yuyHpNRRERETuRSWiySs1ILPUan0eJo4pkbepzIyEgEBwfnbNOnT7d43NSpU1UNl8K2HTt25LrNhQsX1JS9IUOGYPTo0TfUTiIiIiJrHDp2UZU3KIgkqU6dvaLqSJHjsWYUEREV6HTSVey8EqXOJN0cVh2R/uXZWzYmiaaiSDCV9ziZwmdNtQLTUVFRUQgKCsrZ7+3tbfH48ePHY+jQoYXeZ40aNXIlorp164b27dvj888/t6JFRERE7kWSHTu2nURsbBJCwwLR+uaa8PDQObpZbk+n00LlogoZpCRXF6dmVHHjK7Iek1FERJTP1bRkPLfzd2y4dCJnn3xsd42ohzda9Ud5bz/2mo1U9AlFBe8QXE6PLTTgual8w1z79Eaj2opiOkYSUebJqIKEhYWpzRrnz59XiahWrVphzpw50Go5AJuIiMqWFcv+xaefrEZiQlrOvuByfnh0/G249bbGDm2bu7u5RQ2s/PtggddLEqpFk8jspJWVihtfkfUYJRIRUS4pWRkYvv5bbLp8Mtd++Yhdf+kYRm6Yi3R9FnvNRrQaLQZX7VHw9dCibkA1NAis6VTPgYyI6tq1q5r+N2PGDMTExCA6OlptREREZcHK5fvwzptLciWiRPy1FEx//Q/8vabgRAnduK4d6yMsJKDAkU9SyHzYnW3Y1U6CySgiIsrl9zN7cSrpisUzPLLvSMIlLInaz16zoT6VOmFglW7XP6izP6pNNRCq+IbjhcZjVa0mZyqwuXLlShw/fhxr1qxB1apVUalSpZyNiIjI3WVl6fHZ7L8KPebTT/6CXs/pXLbi7eWBd18ZgnLB2SP4TaGSKTk1YXR3tLmpeCfzHB1fuTNO0yMiolx+O7On0B6RpIgcM7hGC/acjUiiaVStQegS3hrLozfhXEo0/D380Dn8JnQIaw5PrWe+20gQpLciELJVsDRy5Ei1ERERlUW7d51RI6AKcyUmEfv3RaF5i+p2a1dZU7NaGH74ZDRWrTuIjduOIz0jC/VqV8SAXs0RWSWk2Pfn6PjKnTEZRUREuVxJTy7049QII66kJbHX7KBOYDWMD6zGviYiInJy1+KSrTyu8IQV3Tg/Py8M6NNCbeS8mIwiInID11JT8cu+A1h+9BhSMjPQsEIF3NeiOW6qUrnY91XZNxiXUxMLPMOjhQaV/YJLodVUmqwdIs4zd0RERNmMRiP27zyNpQu249SxaPj5e6NLr6a4bcBN8A/0KVY3hYcHlupx5BwYX9kOk1FERC7uSEwM7v/pF5WQMqUiTsTG4o+DhzC2zc14unOnfPWFCnNXzZbYFRtV6IfykJo3lULLiYiIiByXiPpk+hIsnr9Vra6majlpgMP/RuHnORvw1pcPIbJmuNX317R5NYRXCMKVmARYWlhNQrHKVcqjYeMqpfuLELkoFjAnInJhGXo9HvplIRLS0nKNidEbsi99vm07Fh86XKz77Fe1CZqXrwKthQSWjIpqHVYNPSs3vOG2U+kyLT1szUZERFTWLft1h0pEiZyi4kZJUgHXYpPw0vi5xSo2LgmtCRN7qZ/zhlDqpKBGg8cn9irWCUJyPMZXtsNkFBGRC1t17DguJSUVmGCQxUO+3L6jWPfppfPAV53ux53VmsND89/HhKdWp0ZEfdHhPnho+fHhbAzF2IiIiMr6qKhfvtmoRkJZYtAbcTEqFjv+OVas+23fsS5ef/NuNQLKXNXIELz59lC0vrnWjTSbHIDxle1wmh4RkQvbcjZKJYayDJZTDDJA6uDlGCSmpyPQ29vq+w3w9Ma0Vv3xVJMe2Bd3Xq2g1zSkCsp5+ZZi64mIiIjsL+5qEi6cvVroMToPLfZsPYG2nesX677btquDNm1r48jhi4iLTUZoWADq1ovgiCiiPHhqm4jIhRmsnHIlZwBLory3HzpH1MUtEXWYiHJysuywtRsREVFZZrxezqC0jstLpuI1aFhZjZSqV78SE1EuzFbx1fTp03HzzTcjMDAQFSpUwMCBA3HkyJF88fvUqVNRuXJl+Pr6omvXrjhw4ECuY9LT0/H4448jLCwM/v7+6N+/P86dO5frmLi4OAwfPhzBwcFqk5+vXbuW65izZ8/ijjvuUPch9zVhwgRkZGTAlpiMIiJyYa2qVC5wVJSQ0ee1QkKKNSqKiIiIyJ2VDwtAeEThKwPrswxo3LK63dpEZcu6devw2GOPYcuWLVi1ahWysrLQs2dPJCcn5xzz9ttv47333sOsWbOwfft2RERE4LbbbkNiYmLOMRMnTsTChQsxf/58bNy4EUlJSejXrx/0en3OMcOGDcOePXuwfPlytcnPkpAykWP79u2rHlvuQ+7r119/xaRJk2zaB5ymR0Tkwm6vXw9vrF2HhPR0i6OkZM9DrW/iGbkyQG/M3qw5joiIqCzTarW4c3gHfP7OsgKu16B8aADad+OCLWWdreKr5cuX57o8Z84cNUJq586d6Ny5sxoV9cEHH2DKlCkYNGiQOubbb79FxYoV8cMPP+Dhhx9GfHw8vvrqK8ydOxc9evRQx8ybNw+RkZFYvXo1evXqhUOHDqnHkqRX27Zt1TFffPEF2rdvr0Zi1a9fHytXrsTBgwcRFRWlRmGJd999FyNHjsS0adMQFBQEW+DIKCIiF+bj6YnPBw2Ej4dHrtXvdNd/vqtpE9zdrKkDW0j2wgKbRERE1hswrD269G6ak3wykZ/9/L0xdeZweHjq2KVlnL3iq/j4ePVvSEiI+vfUqVOIjo5Wo6VMvL290aVLF2zatEldlsRVZmZmrmMkmdSkSZOcYzZv3qym5pkSUaJdu3Zqn/kxchtTIkpIIkumAMpj2ApHRhERubibqlTG8odG4vs9e7DsyFGkZmahQXgY7m/ZAt1r1+KoKCIiIqI8dDotnn1zCG7p2QRLftqKM8cvw9ffC137NEPfIW0QWsE2o0HIvSUkJOS6LAkk2QpjNBrx5JNPolOnTiopJCQRJWQklDm5fObMmZxjvLy8UL58+XzHmG4v/8qIq7xkn/kxeR9H7lPu23SMLTAZRUTkBioHBeLpzreojcomAzTQF7RGdZ7jiIiIKHu6XqcejdVGVBrxlUyRM/fyyy+rIuSFGT9+PP79919Vr8lSMfy8iau8+/LKe4yl40tyTGljMoqIiIiIiIiI6AZJ3SXzGktFjYp6/PHHsWjRIqxfvx5Vq1bN2S/FyoWMTKpUqVLO/suXL+eMYpJjZMU7WS3PfHSUHNOhQ4ecYy5dupTvcWNiYnLdz9atW3NdL/cpUwDzjpgqTawZRURE5AZk9WlrNyIiIiIq/fhKElHmW0HJKKPRqEZE/fbbb1izZg1q1qyZ63q5LEkiWWnPRBJPsgqfKdHUqlUreHp65jrm4sWL2L9/f84xUqhc6lFt27Yt5xhJPMk+82PkNnJbEylqLm2Xx7AVjowiIiJyA3orh5FbcwwRERER2S6+euyxx9SqeH/88QcCAwNzajNJYXFfX181PW7ixIl44403ULduXbXJz35+fhg2bFjOsaNGjcKkSZMQGhqqip8/9dRTaNq0ac7qeg0bNkTv3r0xZswYfPbZZ2rf2LFj0a9fP7WSnpAC6I0aNcLw4cPxzjvvIDY2Vt2P3MZWK+kJJqOIiIiIiIiIiOxk9uzZ6t+uXbvm2j9nzhyMHDlS/fzMM88gNTUVjz76qJo2JyviyYglSV6ZvP/++/Dw8MDdd9+tjr311lvxzTffQKf7byXI77//HhMmTMhZda9///6YNWtWzvVy7NKlS9XjdOzYUSXDJOE1Y8YMm/aBxijjw6jQaviScZRhbLbMChIREd3I59SmA5UQEFj07PukRAM6NL7Iz7UC+pGf96WHfUpERK6K8ZXtP+tZM4qIiIiIiIiIiOyG0/SIiIjcgMGoUZs1xxUlKfMCjscvxOXU3dBotIjwa4M6QXfC1yO0lFpLRERE5H7x1V+HTmDV8bOISUpGleAgDG7VBB1rV4dWy5qdeTEZRURE5AZKq8Dm6cSV2HxpqqzzAiMMal9M2j4cjPsOXSrNUIkpIiIiorKguPHVs78th6ePLwxGIw5dvIwVB4+ha72a+HBoP3h5MP1ijtP0iIiISLmWfhybL70MI/Q5iahsBuiNGVh38SmkZF1mbxEREREVQBJRQm/I/nfdsVN4b9U/7K88mIwiIiJyA3pord4KcuTaT7K2SQHXGmEwZuJ4/O82+x2IiIiI3C2+ktzUT9v/RVJaul3b7uyYjCIiInIDxus1DYra5LiCXEjZpEZFFfgYMOBiymYb/QZERERE7hdfibSsLOw9F223drsCJqOIiIhIyT01zzKDseBkFRERERFZpjcUHWeVJUxGERER2YDRaESWIV5t8rO9CmxasxUk3KcFNNAVeL1cV8G3hY1+AyIiIiIgXZ+FK6nJyNA7/gRYacRXQqfVoHHlinZrtytgOXciIqJSZDQaEJM8H9EJXyA965Ta5+tZHxGBYxDqPxgajfMu7Vu/3N2ISl5T6MipusGD7domIiIiKhtOxcdi5t7NWHTyEDINBnjrdLizdmM83qI9qgYEw1XpNBr0aVIfoQF+jm6KU+HIKCIiolIiI6BOx07GmdjnkZ51Omd/auZRnIp9ClFxr9usr/VGrdVbQSr4tkTzkEfUz+YjpLJ/1qBthSkI8qpus9+BiIiIyqbDsTHot+g7/H7ioEpEiXS9HguO7UPfP77FyfhYh7SruPGV1uyko+b6VrtCKF7o280h7XdmHBlFRERUSuLT1uJKsqxIJ8yn5mX/fCnpK5T364lAn7al3ucGaGCw4hyTIVe78mscMhJhPk1xJH4+LqfugQZaRPi1RYNyQxHq06gUW0xERESU7X/rlyI1KxP6PKUN5HJiRjqe27gcP/cdZvfuKm589WiXNlh65Axik1MQERSIu29uisE3NYGfl6cdWutamIwiIiIqJZcT58pgbFVhwDIdLifNs0kyqjRV9GulNiIiIiJb23clGgdjLxd4vSSktl46hxPxV1E7ONSpn5CRHVtjQp/ujm6GS+A0PSIiolKSknmokESU0CMlQ45x3gKbRERERPZ0NO6KVccdi7sKe2N8ZTtMRhEREZXWh6rG14pjWLySiIiIyMTHw7opbL5WHkeugckoIiKiUhLi16+Ij1YtQvxvd9oC5kRERET2dkuVGmrlvMIEenqhbURV2BvjK9thREpERFRKKgTcD53Gv4CPVx08tMEI97/HhgU2rduIiIiInEWQlzdGNW5daITycNO2Vo+gKk2Mr2yHySgiIqJS4uVREfUqzIOHtvz1PR7QXF8rxFMXhvoVfoCHznQdEREREYmnbroFQ+s1Uz/rNBp4aLTqX0lQjWrcCo81b8eOcjNcTY+IiKgUBXg3R/MqmxCXsgyJ6VsBaBDk3QHl/HpBq7HdGT1ZdlhfjKWHiYiIiJyFTqvFm516Y3STm/Hb8QOISU1GJf9ADK7TGNWDHHcij/GV7TAZRUREVMq0Gm+E+g9UGxERERFZp065UDzTujO7qwxgMoqI7CpDr8fKI8ex5WwUYDSiVdUquL1hPXh78O2I6EZYW5xcb+TIKCIiV3T+zBWsXrQbVy8noFxoAG69oyWq167g6GYRuTXGV7bDb39EZDeHL8dg1M8LcTkpGR5a+dJsxE9792P6mnX4fMhAtKhcic8G0Q0MI5et6OOYjCIiciUGgwGfvf0n/vh+M7Q6bU6R55+/Wo9eg1phwosDoPMofCUyIirh64/xlc2wgDkR2UVcaiqG//ALrianqMtZBgOyDNlfiuPT0jFy/q+ITkzis0FERERk5qcv16lElDDoDdBf38SKhTsx56NV7C8icjkukYw6ffo0Ro0ahZo1a8LX1xe1a9fGyy+/jIyMjAJvk5mZiWeffRZNmzaFv78/KleujAceeAAXLlywa9uJKNvPe/cjPj3N4hQhg9GI1Mws/LB7L7uLqIT0Ro3VG5UdjKGIXFtaagYWfL2h4AOMUImqpIRUezaLqMxgfFXGk1GHDx/OHp762Wc4cOAA3n//fXz66ad4/vnnC7xNSkoKdu3ahRdffFH9+9tvv+Ho0aPo37+/XdtORNlWHD4mJaIKJAmp5YeOsruIiEoRYygi17Z/1xmkJKcXekxmRhZ2bzlhtzYREZWZmlG9e/dWm0mtWrVw5MgRzJ49GzNmzLB4m+DgYKxalXvI6syZM9GmTRucPXsW1apVs3m7ieg/KZmZRXZHSlYWu4yohPTQqq3o42xfMyo9PR1t27bF3r17sXv3brRo0cLmj0mWMYYicm3paRlWHld0nEVErh1fuRuXSEZZEh8fj5CQkGLfRqPRoFy5coUG0LKZJCQk3FA7iShbwwrhOB0XB/31OlF56TQadQwRlYzBqFVb0cfZPlh65pln1PR4SUaR82EMReQ6atSpaNVx1etwVT0id4+v3I1LTNPL68SJE2qU07hx46y+TVpaGp577jkMGzYMQUFBBR43ffp0NarKtEVGRpZSq4nKtvtual5gIkpILSk5hohc27Jly7By5coCRy6TYzGGInItVaqHodnNNaHVWa73J/trN6yEuo2q2L1tREQum4yaOnWqGqlU2LZjx45ct5EC5DLkfMiQIRg9erRVjyPFzIcOHarqTn3yySeFHjt58mR1xtC0RUVF3dDvSETZWkdWwag2rdTP5uGU6ed7mjdBl1o12F1ENziM3JrNNPLXfDMfFVxSly5dwpgxYzB37lz4+fnxubQhxlBEZcfEqXciINAXWl3ur246nRY+vl54etoQh7WNyN0VN74iF5mmN378eJUkKkyNGjVyJaK6deuG9u3b4/PPP7c6EXX33Xfj1KlTWLNmTaGjooS3t7faiKj0PdvtFjUV74utO3Ak5oraVys0BA+1uQlDmjVRCWgiKhlZ5NualfKyFwNHvpG/skqtJDhKymg0YuTIkWrUcuvWrdUqbmQ7jKGIyo7K1UIx6+fH8NOX67Dqj13ISM+Ch6cO3fs1x9DRXdX1ROQc8RW5SDIqLCxMbdY4f/68SkS1atUKc+bMgVartToRdezYMaxduxahoXyjdnWpKenYsPIALpyLRWCQL265rTEqVCq4Bhg5F0k2DWjSUG2JaekwwohAb28moYgcQEb+mp+gKehEjCSoXnnllULva/v27di0aZMaYSUjjMn2GENRcR3fF4Xtq/erldfqtaiOm29tDJ2Hjh3pIiTeffzFAXjkuX5ITkqDX4A3PD1dtvwvEZFrFDCXEVFdu3ZVK+BJDYqYmJic6yIiInJ+btCggar5dOeddyIrKwt33XUXdu3ahSVLlkCv1yM6OlodJ4XPvby8HPK7UMmtXrIHs6YtRlpqJnQeWhgNRnz5/gr0Gdwajz7bV50hItcR6MMRiESlyQCt2qw5TkgiqqjRwsUZgfP6669jy5Yt+ZJaMkrqvvvuw7ffflvkY1HpYwxFCbFJmDbmS/z7z1E1zUtODOmz9AitVA5TvhyDhq1qspNciMS7weX9Hd0MojKjuPEVuVkySgqhHj9+XG1Vq1bNNy3A5MiRI6rOkzh37hwWLVqkfs67pLSMkpLkFrmOLesOY8YLv+Vc1mf9NxBy2a87VGD1+JQ7HNQ6IiL3Ze0InI8++kglpMyTIL169cJPP/2Etm3b2riVVBDGUGWbXm/AC/fOwon959Rlg/6/+CnuUjyeH/IhZq1+HlVqcSU2IiKyL5dIRkkNCtmKYp6YkrO05pfJdcnz+M2sv1TCydJzKrv+/HUH7h3dBWEViz7LT0TkjvRGrdqsOc4WZPSyuYCAAPVv7dq1851IIvthDFW2ybS8Y3vPWrzOYDCq2kO/ffoXHn/7Xru3jYjIFTg6vnJnLpGMorLtYlQsTh+7VPhBRmDjXwcxcFg7ezXLZSXFp2DD7ztwNfoaylcIRueBrRBYPvtLIxG5LgM0arPmOCIqG9Yv2qmm5pmPiDIn+//+bTuTUVaQE6IHNx/Fv+sPqhOhTTo1QNNODVj3ksjNMb6yHSajyOklJaYVeYxWp1HFHKlwv368Et+89psqXqrT6WDQ6zH7uR9w/zP9cc+TtzOgIqJSwxHKRM5xAqqgRJRJanK6SrRwRduCXT57BVPvehfHd59SyT0h/VqzSSRe/mUSKtf+r4YtERFZh2PJyOlVrFwOWm3hZ/KlhlTlyBC7tckVLZ2zDl+88DMy07PUSDIpXipn9rIy9Pjm9YVYOHuVo5tIRKUwjNyajYjKhiq1KuYkTwpSMTKUiahCpCSmYlL3V3By35mcJJQpwXfm8Hl1XWJcUmk+bUTkRBhf2Q4jUnJ6smJIh+4NoSsomNIA/oE+6Ni9ob2b5jKyMrPw7bSFhR4z763FSE/NsFubiIiIyLZ6D+tQ6MgojVaDviNv4dNQiNVz1+PS2RgYzBbPMZF9sdHXsOzrtexDIqJiYjKKXMLo//VCQJBPvrN7EkTJmKmJLw2Al7enw9rn7PZtOoaEq4WftUtJSMXuvw/arU1EVLr00Fq9EVHZUL1BZdwzoVf2hTyDzGXUeZ1m1dBvZBeHtM1V/PXjxkIr7RkNRvz1/QY7toiI7Inxle0wIiWXEFGlPD6c9zA69WiUKyFVv3EVTPvkAdxyW2OHts/ZJV1Ltu64+FSbt4WIbMNg1Fi9EVHZMWJyf0yYMQwVq4bm7PPx98aAMd3w1q9PwMfPy6Htc3ZyMq+oBbo5TY/IfTG+sh0WMCeXSkg9/9bdSExIxZVLCQgI9EF4RLCjm+USKtWsYNVxlWuG27wtREREZD9SmLzP/Z3Qa1gHXDgVo2pFRlQPYxLKSlXrVcLFk5cKnO4oJ0mr1q1Umk8ZEVGZwGQUuZzAIF+1kfVqN41ErSaROH3wHAyG/Kf3ZLpj5ZoV0LBNbXYrkYsyWDkFT44jorJHq9Wiau2Kjm6Gy+k75lZsXbqrwOslSdV3TA+7tomI7Ifxle0wIiUqI2dFJ7w/HDpPj3x1t6RmhBSHn/jhCK6mQ0RERGSmTZ+W6DSojcUYSU7mtbldrm/LPiMiKiYmo4jKiAata+G9Fc+h+S0Ncu1v0qEeZvz5LJp2rOewthHRjTMYtVZvRERk/YiyKd8/geEv34Wg0ICc/QHl/HHvcwPx8oJJBa/4TEQuz1bx1fr163HHHXegcuXKKtn9+++/57pe9lna3nnnnZxjunbtmu/6oUOH5rqfuLg4DB8+HMHBwWqTn69du5brmLNnz6q2+Pv7IywsDBMmTEBGhu1XWec0PaIypG7z6pi+8ElcvXgNsZeuoVx4EMKrhDi6WeTCjEYjtl04jx/278Xx2KsI9vZBv3oNMLB+Q/h5coVLe9JDozZrjiMiIuvpPHS4f8pg3PP0AEQdPq8Kmkc2qMyVnOmGJManYOUfu7Fp7SGkp2WibqPK6DukDeo0YA2yshBfJScno3nz5njwwQcxePDgfNdfvHgx1+Vly5Zh1KhR+Y4dM2YMXn311ZzLvr65y9kMGzYM586dw/Lly9XlsWPHqoTU4sWLs9ut16Nv374IDw/Hxo0bcfXqVYwYMULF+DNnzoQtMRlFVAaFViqnNqIbIR9SL/y9Gj/s/xc6jQZ6o1F9DG8+H4XZO7Zi/uB7UCUwiJ1MRERuwdPLA7WaVXd0M8gNnDh8Ec89/A2SEtJUPCVOHb2EZb/uxMjHe2DoqM6ObiLZWJ8+fdRWkIiIiFyX//jjD3Tr1g21atXKtd/Pzy/fsSaHDh1SSagtW7agbdvs6cRffPEF2rdvjyNHjqB+/fpYuXIlDh48iKioKDVKS7z77rsYOXIkpk2bhqAg28XyHFNKREQl8u2/u1UiSkgiSpjK419MSsToxQtzAiyyPU7TIyIicn4yCmrKo98hOfG/RJTQX1+x8ZuZq7Fl3WEHtpBuJL5KSEjItaWnp99wh166dAlLly5VI6Py+v7779XUusaNG+Opp55CYmJiznWbN29WU/NMiSjRrl07tW/Tpk05xzRp0iQnESV69eql2r1z506b/jEwGUVERMVmMBrx+a4dBV4vyanDV69g6/lz7F070ZsNJS98IyIiIkdZt2I/rsUmW1zh2rS40IJvNtq9XVQ68VVkZGROfSbZpk+ffsNd++233yIwMBCDBg3Ktf++++7Djz/+iL///hsvvvgifv3111zHREdHo0KFCvnuT/bJdaZjKlbMvdJq+fLl4eXllXOMrXCaHhERFVtUQrwa/VQYmbr3z7mzaFc1kj1MREREBGDPtpPQ6jQw6C0noyRJdWD3Weiz9KpeGbkWme5mPrXN29v7hu/z66+/VoknHx+ffPWiTGR0U926ddG6dWvs2rULN910k9pvaSVQGZFnvt+aY2yBI6OIiKjY9IbsoeSFkQ8wgxXHUengND0iIiLnZ5DpeEbrRqGT68VXkogy3240GbVhwwZV32n06NFFHisJKE9PTxw7dkxdllpSMsUvr5iYmJzRUHJM3hFQsgJfZmZmvhFTpY3JKCIiKrbIoGCE+ORerSOvLIMBrSpVYe8SERERXdeoRbVCE00arQa160fA05OTmAj46quv0KpVK7XyXlEOHDigkkiVKmWvyCiFyuPj47Ft27acY7Zu3ar2dejQIeeY/fv351q9T4qaSxJNHteWmIwiIqJi89TpMKJ5ywIXsZUpelUDg9Cleg32rp3ojVqrNyIiInKMW/s1h6+vV4FToIwGI+68PztRQO4bXyUlJWHPnj1qE6dOnVI/nz17NucYKYC+YMECi6OiTpw4gVdffRU7duzA6dOn8eeff2LIkCFo2bIlOnbsqI5p2LAhevfurabzyYp6ssnP/fr1UyvpiZ49e6JRo0YYPnw4du/ejb/++ksVQpfjbLmSnmBESkREJTKuVRt0rVEz+8PELKCSnwO8vPF5v4HQafkxYy9GaGCwYpPjiIiIyDH8A3zw0vv3wsNTp2pHmRcuF7ff1VolrMi946sdO3aoxJFs4sknn1Q/v/TSSznHzJ8/X9Vuuvfee/PdXgqMS+JIVr6TxNKECRNUYmn16tXQ6XS5Vttr2rSpuk62Zs2aYe7cuTnXy7GyUp/Uo5Ik1t13342BAwdixowZsDWNketuF0qykVIFX4ay2TozSETkamQq3uKjh/H9/r04GRerklAD6jfE8KbNUcE/wNHNK1OfU89t7gPvAM8ij09PysSb7Zfxc62AfuTnfen/bbJPiYjyu3D2KhbN34qNfx1ERnoW6jSohDuGtkW7LvVtXjiaisb4yvaf9ZyISkREJeah1eLOBo3URo5l7RBxTtMjIiJyvMrVQjHumdvVRs6L8ZXtcP4EERERERERERHZDUdGERERuQGDUaM2a44jIiIiIsZXjsRkFBERkRvQQ6s2a44jIiIiIsZXjsRkFJEd6LP02Pznbvy7/jAMBiMat6uDjgNaw8u76GLDRERERGVV9OkYrJ63AVcuxKJ8hWB0v7cjIutXdnSziIjoBjEZRWRjZw6fx4uD38flqKvQeWQvs7nkyzUoN3k+Xvn5CdRvVYvPARHdME7TIyJ3Igt+fz1lPn56dzG0Wi00Wg2MBiO+f2Mhbh/dHY/PfAg6HUd6EpFtMb6yHb6DE9lQ0rUUPNv3bVy5EJczQko2kRCbhMn930HM+Vg+B0RERERmFry3BD/NWAwYAYPeAH2mXv0rln21Bl+/MJ/9RUTkwpiMIrKhlfM2IP5KYk7wZE72paVkYOlXa/kcENENM0Br9UZE5Mwy0jMx/60/CrzeaAR+n7UcSdeS7douIip7GF/ZDiNSIhva8Pt2Ncy8IJKQWvfrNj4HRHTD9EaN1RsRkTM78M8RNbq8MJnpWdix8l+7tYmIyibGV7bDZBSRDaUkpRV5TFpKOp8DIiIiIlNslGxdbMQYiojIdTEZRWRDtZpEQudR8MtMq9OiZqOqfA6IqNQKbFqzERE5s2oNq1h1XHXGUERkY4yvbIfJKCIb6je6O/RZ+etFmU/T6zemO58DIiIiouuq1IlA866N1Ek7S2S/JKIa3FybfUZE5KKYjCKyocbt6mLQ+F7qZ43GbDTC9R9vvbcD2vdtyeeAiG6Y0aiFwYpNjiMicnYTPx4F/2C/fAkprYcW3r5eeHbOo7ljKyIiG2B8ZTseNrxvogIlZWTgjyOHsP3COcnSoF2VquhfryH8PD3drtfGTLsHNRtXxYIPl+Hs4QtqX0T1cJWk6je6GwMpIioVemjUZs1xROS6jh44j7+W7EXc1SSEhgfitv4tUat+BNxNlbqV8MnWafj+jYX464eNqmC5zkOHzne1xX3P34lqDaybykdEdCMYX9kOk1Fkd9vOn8PoJQuRmJEB7fUzWpKYemvTBsy5YxBaRFRyq2dFztrddl8n9BjWEYmxyTAYDQgODWQSioiIiKyWlanHjJd+w9/L9kGn08JgMEKr1WDh95vRc2BLPPHiALXfnVSsHo4nPxuL8R+ORGJcMgLK+atRUURE5Prc6xOLnN6FxAQ8uOg3JGdmqssGo1FtIiE9HQ/88QtiUpLhjiQpFRQagHJhQUxEEVGpMxitLbLJzidyRV99sBLrlu9TP+v1BhiNRvWvWPXHbsz7dC3clZePF0IrlWciiojsjvGV7TAZRXY1b99epOuzchJQ5mSfJKnmH8gOtIhclXxByMzIUv8S2Ys19aJMGxG5lsSEVCz+eRsK+liR/QvnbUJqSrq9m0ZUqiTBakqyEjkDxle2w2l6ZFfLTxyDvpAv6JKQWnHiGB6/uZ1d20VUGq5Gx+OX2auxcv4WpCSlwT/IF72GtsPgcbcipGIwO5mIiEpkz9aTappeYdJSM7Fv5xm0uaUee5lcipy827BoJ377ZBUO7zylFvpp2Lo2Bj92Gzr1u8nRzSMiG+HpUbKr9KysIo9Js+IYImdz4VQMxvd6C4vmrFeJKJGckIrfv1qH8b3fRvTZK45uIrk5AzRWb0TkWjIyskr1OCJn8vWrv+GNUZ/j6O7T2TuMwJGdJ/H6yE/x7fQ/HN08KuMYX9kOk1FkV00qVISukGV45bqmFSratU1EpeG9J+chIS4ZhjxDy+Vy/NUkfPDUj+xoIiIqkVr1rFstr1ZdxlDkWvZuPIIFM1eon6Uov4np5x/fXYoDW487rH1EZDtMRpFdDW/aotBpenKdHEPkSs4cvYgD207mS0SZyP69/xzF+ZOX7d42Kjv0Ro3VGxG5lpp1K6JB06rQFrBanuxv2a42KlcLtXvbiG7Ekq//hs6j4K+kct3ir/9mJ5PDML6yHSajyK46RlbDqBatsv/4zEZImX4ef3M73FSpMp8VciknD5y37riD1h1HVBIssEnk3p56fRACAn3yJaS0Og2Cy/vhiRf7O6xtRCUlU/P0WQUXLJfrju25Pn2PyAEYX9kOk1FkVxqNBlM6dcGHvW5H4/AKOfubV4zAJ33uwKR2HfmMkMvx8rZuLQgvb0+bt4XI0ZYuXYq2bdvC19cXYWFhGDRokKObROQWqlYPw8fzH0G/u2+Gr5+X2ufn740B97bDrB8fQUSV8o5uIlGxefkUHRt5+WT/vRORe+FqeuSQhFT/eg3VlqHXq1K6njodnwlyWc071oOnlwcyCykcK8FW0/Z17NouKoMFNq2YgmfLAua//vorxowZgzfeeAPdu3dXKyTt27fPZo9HVNaERwTj0Wf74pFnbkdGepY6GSJxFZGr6tivJX7+aEWBpQ60Wg069m1p93YROVN85a44MoocykunYyKKXF5AsB/6juhU4BcC2T1gVBf4BfjYvW1E9pKVlYUnnngC77zzDsaNG4d69eqhfv36uOuuu/gkEJUy+bzx9vFkIopcXt+RXdTIcY1WYzER5e3njT4P3OKQthGRbTEZRURUCkZNGYjO/W/KKbYpXxRMBTm7DboZI57px34mmzLKmTsrNjnOFnbt2oXz589Dq9WiZcuWqFSpEvr06YMDBw7Y5PGIiMj1hVcJwes/Tcg+YafJTkDJJvwCfTFtwRMIjSjn6GZSGebo+MqdcZoeEVFpvJl66vDcJyNx59hu+OuXbYi9lIDQiGDcdndb1GkayT4mm5Mh5FYNI79+TEJCQq793t7eaiupkydPqn+nTp2K9957DzVq1MC7776LLl264OjRowgJCSnxfRMRkftq0r4u5u59C2sWbMG+TUfVkPJmHeuh+11t4ctR5eRi8RVZj8koIqJSVL9FdbVR6TEY9YhOPYB0QyKCPSsjxLsmu7cUREbmTpK+/PLLKpGUl+x75ZVXCr2v7du3w2DIrvcxZcoUDB48WP08Z84cVK1aFQsWLMDDDz/M542IiCzyC/RBv4e6qo1KT/S1RBw5HwNPDx1a1KgEP28WgyfnwWQUERE5rUPxy7A15iuk6K/m7Kvg0wCdK05EBZ/6Dm2bsy49bM1xIioqCkFBQTn7CxoVNX78eAwdOrTQ+5RRUImJiernRo0a5brPWrVq4ezZs1b/HkRERHRjYhKS8Nova/D3gRMwGrP3+Xp54v7OLfFor/bw0LFaj63iK7Iek1FEROSU9sUtxIbLH+XbH5N2FL+ffQKDqs1CmA9XKCwpSUSZJ6MKEhYWpraitGrVSiWfjhw5gk6dOql9mZmZOH36NKpX52hBIiIie4hPTsPwj35So6JMiSiRmpGJL1dvw8W4BLwxrDcXQCCHY/qOiIicToY+GZtjPrN4nREG6I2Z2Bzzud3b5Qo1DazZbEESW7KKnkz3W7lypUpKPfLII+q6IUOG2OQxiYiIKLd5G3bhYlwi9AazTNR1smfJzsPYf/YSu81F4it3xpFRRETkdE4krUOWMb3A6yUhFZWyHclZV+DvUfSonbLAtJqLNcfZyjvvvAMPDw8MHz4cqampaNu2LdasWYPy5cvb7DGJiIjoP79s2Q+D+ZCoPHRaDRZu24+m1SPYbS4SX7krJqOIiMjpJGXGQAMdjNAXelxy1lUmo5yIp6cnZsyYoTYiIiKyL6PRiKsJyYUeIyOmoq8l2a1NRAVhMoqIiJyOr0d5NfqpyON05ezSHlfApYeJiIjKNo1Gg2A/H1xLSSt0ZFRooJ9d2+XKGF/ZDmtGERGR06kT2AVa6Aq8XgMtKvk2RaBnRbu2y5mxpgERERHd2bYxdBpNoSOj+rduyI5ifOVwTEYREZHT8dEFo1Xo/QVcq1H/tQsbY+dWERERETm34V1uQrC/jxoBlZdWo8EtDWugde2qDmkbkTkmo4iIyCm1Dn0A7cLGwlPjm2t/oEdF9Kv6Fir5NXVY25wRR0YRERFReFAA5j4+FI0jc48el+TUgDaN8N6IO9R0PmJ85WisGUVERE5JAqWbQu9F0/IDcTZ5G9L1SQj2qozKvs2h0fBcChEREZEl1cLL4fsn7sWR8zE4eO4SPHQ6tK9XDWFB/uwwchpMRhERkVPz1PqidmAXRzfD6bHAJhEREZmrXyVcbcT4yhkxGUVEROQGjJKQgsaq44iIiIiI8ZUjcZ4DERERERERERHZDZNRREREboAFzImIiIhcI75av3497rjjDlSuXFnVSf39999zXT9y5Ei133xr165drmPS09Px+OOPIywsDP7+/ujfvz/OnTuX65i4uDgMHz4cwcHBapOfr127luuYs2fPqrbIfch9TZgwARkZGbA1TtMjojLDaDRi34VLWH7oKJLSM1ArNAQDmjVEeb/cq7URERER0X+Sk9KwdskenDoSDW8fT7Tr3hBNW9fkqmxEJZScnIzmzZvjwQcfxODBgy0e07t3b8yZMyfnspeXV67rJ06ciMWLF2P+/PkIDQ3FpEmT0K9fP+zcuRM6nU4dM2zYMJWgWr58ubo8duxYlZCS2wm9Xo++ffsiPDwcGzduxNWrVzFixAj1vWnmzJk2fX6ZjCKiMkGSTxN+WYJ/Tp6BTqtVlXX0RgNmrNmAl/t0x5CWTR3dRKIbwgLmRERkC/+sPoB3nv0Z6WmZ0OmyJ9Ys/PYf1GtaFa988gDKhQaw48lt2Sq+6tOnj9oK4+3tjYiICIvXxcfH46uvvsLcuXPRo0cPtW/evHmIjIzE6tWr0atXLxw6dEglobZs2YK2bduqY7744gu0b98eR44cQf369bFy5UocPHgQUVFRapSWePfdd9XIrGnTpiEoKAi2wml6RFQm/O/Xpdh86qz6WW8wIMtggNEIZOoNeGHJaqw9etLRTSS6IZymR0REpe3Q3rN4Y+IPKhElK2DoswxqE8cPXsCLD38DgyH7MpE7cmR89ffff6NChQqoV68exowZg8uXL+dcJ6OfMjMz0bNnz5x9kkxq0qQJNm3apC5v3rxZTc0zJaKETPWTfebHyG1MiSghiSyZAiiPYUtMRhGR2zsUfRnrT5yGQbJPFmg1wMcbtti9XURERETO7OfP1wEajcWlWA16g0pI7d58whFNI3JKCQkJuTZJ6pREnz598P3332PNmjVqpNL27dvRvXv3nPuLjo5W0/bKly+f63YVK1ZU15mOkWRWXrLP/Bi5jTm5T7lv0zG2wml6ROT2Vh0+Dp1WA73BcjJKdkstqcuJSagQ6Nih5gkJqdi99yyysvSoVzcCkVVDHNoech2cpkdERKUpK1OPbesOw1BA/CRk2t4/K/ejVce6Du18qW9zeNdpXDxzBQHBfmjRqR68vD0d2iYqm/GVTJMz9/LLL2Pq1KnFftx77rkn52cZudS6dWtUr14dS5cuxaBBgwp9LUixcxPzn2/kGFtgMoqI3F5qZhY0qkqUscjjHCUjIwuffrEWi//cg6zrw99FyxbV8MyTtyOiYrDD2kZERERlT2ZGVqGJKNMX1rTUTDjS/q0n8OGz83Hu+KWcfZKQuv/JPuj/UGcWWSe7ktpL5nWWpO5TaahUqZJKRh07dkxdllpSsuKdrJZnPjpKpvJ16NAh55hLl/57XZjExMTkjIaSY7Zu3ZrrerlPmQKYd8RUaeM0PSJye7XDQ1SNqML4enqiooNGRUkg99r0Rfh98e5ciSix998ojP/fPMRdS3ZI28h1GI0aqzciIqKi+Ph5IaRCYOGfPQCq1c4/Dchejuw+g8lDZ+H8yf9q6Yik+BR8+vKv+GX2Xw5rG5XN+EoSUeZbaSWjrl69qhJdkpQSrVq1gqenJ1atWpVzzMWLF7F///6cZJQUKpdC59u2bcs5RhJPss/8GLmN3NZEippLu+UxbInJKCJye7c3qg8/L081NsoSnUaDu1o0ho+nYwaL7tt/Dhs3HVNJqbzkjGRcXDJ+XWjbAoLk+gzQWL0REREVRabo9BvaDhoprlkArUaDnoNs+4W1MF9N+0PVrjIWMIJr7ow/VWKKyNniq6SkJOzZs0dt4tSpU+rns2fPquueeuopVVz89OnTqpD5HXfcgbCwMNx5553qeClCPmrUKEyaNAl//fUXdu/ejfvvvx9NmzbNWV2vYcOG6N27typ+LivqySY/9+vXT62kJ6QAeqNGjTB8+HB1H3Jf8thynC1X0hNMRhGR25NE1NsDequgShJP5uRy9ZByeLxLe4e1b8Xq/TlLJVsiCamly/fatU1EREREg0Z2Qv2mVaHNk5AyXX70xf4ICS989JStxFyIw74txwudSpiZmYUNS7K/7BM5kx07dqBly5ZqE08++aT6+aWXXoJOp8O+ffswYMAAtZLeiBEj1L+SnAoM/O/19v7772PgwIG4++670bFjR/j5+WHx4sXq9iZSBF0SVJJ0kq1Zs2aYO3duzvVyrNSh8vHxUfch9yX3OWPGDJv3AWtGEVGZcFuDOpj7wBDM3rAV/5w8o4aVB3h74e6bmmJcxzYI9vVxWNuuxiZBry98GmF8fIpdCgmS62IBcyIiKm3ePp6Y/vUo/PLVeiz+cQsS4rJHGTVqWR33jO2K1rfUc1inx8UkFnmMnOyLvRxvl/aQe7JVfNW1a1eLsyJMVqxYUeR9SAJp5syZaitISEgI5s2bV+j9VKtWDUuWLIG9MRlFRGVG62pV8NV9g5CUnoGUjAyU9/OFp9mZA0cJCwmATqeBXl/wB1K5YD8mooiIiMjufHy9cP/4Hrj3ke6Ij02Gl7cHAoJ8Hf5MlLdiRJac7AvlIjBETonT9IiozJERURUCA5wiESV63da00ESUDIXv26e5XdtErocFzImIyJZklJFMyXOGRJQIr1wezTrUzTeF0Jynlwc69W1h13aRe2F8ZTscGUVE5GBNGldB5071sOGf/EXMdVoNQkICMHhga4e1z1UcTbiITTFHkGnUo2FQFbQPrwedpuycc+E0PSIiKmtGTRmAp+78AMjSW6wd9cDTfREQ7OeQtrmKtLRMrNtwBBcuxiEwwAddbqmP8HDbFq52JYyvbIfJKCIiB5M6UC881x+ffbUWi5bsQWamPue6li2q4+n/9UG5cgykChKfkYIpe3/EtqsnoIVG9afeaEBFn2C82WIYGpeLtNMzSURERPZUr3k1vPnzeHz0zHycORqdsz+ovD+GP3U7+o24hU9IIVavOYj3PlyB1NQMNfJNEnqffLYW/fu1wOOP9ih0gR2iG8VkFBGRE/D01GH8uB4YeX8n7Pk3CllZetStUxFVKpd3dNOcmiSdntgxB0cSL6rLBilNf310WUxaAh7d/hW+7/g4qvqFoqwMI7fmOCIiInfRqHUtzP5rMo79G4WLZ64gINgXzdrXVVP0qGCbtxzHtDcX51w2X0xn0ZLd6uTeE+NvK/NdyPjKdvgKJSJyIgEBPujUoa6jm+EyZFrewYTzFq+TxFSGIQvfn9qIZxsPQFkIlqxZyYXJKCIicjeSOJFRUrJR0aQsxJffrFf9ZmlFN9n1x+LdGDa0HcLDii4U784YX9kOx90REZHLWnVxn5qaV9jIqeUX99i1TURERETO7MKFazh5MsZiIsrcho1H7dYmKns4MoqIiFxWYlZq9tS8QqRkZahgS87+uTPphSJiypzjiIiIqOxKSk4r8hhZpTApqejj3B3jK9vhyCgiInJZkX6hRa6YV8m3nNsnooiIiIisVbFCcJGxkdSQqszapWRDTEYREZHLGlC1tZqKVxANNBgU2RZlgQEaqzciIiIqu2SVZqlRKqOfCuLv741bOrKOKeMr22EyioiIXFbtwAgMr9nZ4nVSS6p+UCXcXb0dytJqL9ZsREREVLaNG9tNLZyjy5OQkgFTsk2a2Ave3p4o6xhflfFk1OnTpzFq1CjUrFkTvr6+qF27Nl5++WVkZGRYfR8PP/ywGor4wQcf2LStrury2SuY8+J8PHHLi5h4y0v45uWfcDnqiqObRURUpPH1euHZRgNQ0Sc4Z5+PzhNDqrfD7DZj4KPzYi9SmcUYyrZkGsumxTsx9e73Mb7TS3jlng+wacnOXEukExE5o8qVymH2zAfQsWO9XCOk6tWNwJvThqBbl4YObR+5P5coYH748GEYDAZ89tlnqFOnDvbv348xY8YgOTkZM2bMKPL2v//+O7Zu3YrKlSvbpb2u5p8/tmPavR/AYDDCcD14Orz9OH6esRgvzp+I9ne0dnQTiYgKJCcaBldrizsjb8aZ5CvINOhVLSlfj7KVhDIYNdBYMepJjqOygzGU7aQlp+PFwe/h3w2HoNVpVQx14t+z2LRkF1p0bYRXFvwPPn7eNmwBEdGNJ6ReeXEg4hNScflyAgIDfBAR8d/JPWJ8hbKejOrdu7faTGrVqoUjR45g9uzZRSajzp8/j/Hjx2PFihXo27evHVrrWs4fu4jXh34AvV6fa4klCagkAfjaPe/jy33vonLtCEc2k4ioSFqNFjUDKrCniMwwhrKdjyd9h/3/HFY/m07mmf79d/0hzH56Hv738Sj+PRKR0wsO8lUbkT25xDQ9S+Lj4xESElLoMZJMGT58OJ5++mk0btzYqvtNT09HQkJCrs2dLZq9Ui15bnGtb6P0oRGLP13lgJYREVFxqLdyKzcq2xhD3bi4S/FY/cM/Kk6yRPavmrcR12LcO44kInJ3jK9sxyWTUSdOnMDMmTMxbty4Qo9766234OHhgQkTJlh939OnT0dwcHDOFhkZCXe2bfmenLN4lsh125bttmubiIio+Fhgk6zBGKp07N90pND4Seiz9Oo4IiJyXYyv3DQZNXXqVFXro7Btx44duW5z4cIFNeR8yJAhGD16dIH3vXPnTnz44Yf45ptv1P1Ya/LkyeqMoWmLioqCOzPI9LwisAgnERGRc2EM5VjWxkYGPYciEhEROV3NKKnlNHTo0EKPqVGjRq5EVLdu3dC+fXt8/vnnhd5uw4YNuHz5MqpVq5azT+oiTZo0Sa2oJ6vLWOLt7a22sqLpLQ3VSnr6LMtBlc5Di2aduZICEZGrnLmz5jhyfYyhHKvBzbUBeSkVkmuSk6ENbq5lz2YREVEpY3zlpsmosLAwtVlDCpFLIqpVq1aYM2cOtNrCB3VJragePXrk2terVy+1/8EHH7yhdruTAY/2xspv1xV65m/AI73s2iYiIiIqHGMox4qoHo62vVtg+8p/LU7Xk9X12vZpgQqR1sW5REREZY1L1IySEVFdu3ZV9Ztk9byYmBhER0erzVyDBg2wcOFC9XNoaCiaNGmSa/P09ERERATq16/voN/E+dS9qSYefX9kzigoE9PP4z94ELVb/Dc6jYiInJPBqLF6o7KDMZTtPPnJaFSqGZ67HIQme0RU5doVMXHWQzZ8dCIisgfGV246MspaK1euxPHjx9VWtWrVXNepleCuO3LkiKrzRMUzcHxvlZRaOGsZ9q49oPa16NYEgybcjobt6rI7ySmdOXcVR09cgqeHDi2bVuNytFTmWbtSHlfTK1sYQ9lOuQpBmLnhVSz/5m8s+2YdYqOvIbRSOfQZ2RW9R3aBXyCXSSfnk5GWiT3/HEVSfAoqVQ9Dg5tqFKu+LlFZw/jKdjRG82wO5ZOQkKBW1ZMkV1BQEHuIyMGiL8dj+kfLsHvff4sLeOi0uKNXMzz2UDd4ebpEjp2o1D+n6n3/HHR+Rdc81Kek4+h9b/JzrYB+5Od96f9tsk+JHE++8i2asx7z3l2GpITUnP1Va1XAhLfuQdN2dRzaPiJnw/jK9p/1LjFNj4hIxF1LxqPP/oB/D5zL1SFZegN+X7YXU99enGu0JFHZO3OnsWKzXRuOHj2KAQMGqHpGEpB07NgRa9eutd0DEhGRVX75dA0+ffm3XIkocf50DJ4f9gkO77a8uBNRWecM8ZW7YjKKiFzGgsU7EXstGXpD/nd7SUJt3HYc/x4875C2ETmadYGSdSvulVTfvn2RlZWFNWvWYOfOnWjRogX69euXr8YjERHZT+K1FMyd8afF64wGoyrC//Ubi/mUEJFdMRlFRC5j6ap9MFhIRJnotBosX7Pfrm0iomxXrlxRtR2fe+45NGvWDHXr1sWbb76JlJQUHDiQXY+QiIjsb+Ofe5CZmVXg9RJb7dtyHDEX4uzaLiJX4Awn+9wVk1FE5DKuJaQUer2MmLoal2S39hA5E2MxNtMcf/MtPT39hh5fVrFt2LAhvvvuOyQnJ6sRUp999hkqVqyIVq1alcrvSERExRd3ORE6XdFf+2IvJ7B7iW4wviLrMRlFRC6jXLBfodfrdBqEhQTarT1EriwyMlIVnDRt06dPv6H7k9WYVq1ahd27dyMwMBA+Pj54//33sXz5cpQrV67U2k1ERMUTUjEIer3BiuOC2bVEZDdMRhGRy+h3WzNotQUPgdXrjehza2O7tonIVYeRR0VFqZVPTNvkyZMt3u/UqVNVoqmwbceOHapu26OPPooKFSpgw4YN2LZtmypmLjWjLl68aOfeICIik063N4enV8GrDUts1bxDXYRX4okDorw4Tc92uAY6EbmMIf1bYcXaA7gam5SviLlGA3RuVw9NGlRxWPuIHMraMeLXj5HV7qxZgnf8+PEYOnRoocfUqFFDFS1fsmQJ4uLicu73k08+UaOlvv32W1VLioiI7C8g2A8jn+mHL177Pd91Gq0GOg8dHnq+P58aolKIr8h6TEYRkcsoF+SHT966D2/NWo7tZksQe3nqMLBPCzz8QBc1SoOISk9YWJjaiiKFyoVWm3vQtVw2GIqeHkJERLYzaGw3ePt64rt3/kRCXHLO/mp1I/DEW/egXvNq7H4isismo4jIpVQIC8S7U4fg/MU4HDt5GR4eOrRoEokAf29HN43IsaxdycVGq720b98e5cuXx4gRI/DSSy/B19cXX3zxBU6dOoW+ffva5DGJiMh6fYd3Qs972qmV85ITUhFRLQx1mlbliTwiJ46v3BmTUUTkkqpUKq82InIOMnpKipVPmTIF3bt3R2ZmJho3bow//vgDzZs3d3TziIgIULWjburcgH1BRA7HZBQREZEbMBqzN2uOs5XWrVtjxYoVtnsAIiIiojIWX7krJqOIiIjcgPlKeUUdR0RERESMrxyJySgiIiJyCnEZV7Dp6mqcSj4KLbRoENQcbUK6IMCj6FX/iIiIiMqiLL0BG/ecxLJNBxEbn4LK4cHo37kJbmrg3DXhmIwiIiJyBzLiyYULbO6K+wffn/n4+grK2avvHU86gJXRv2JsredQK4A1ToiIiMjOnDy+SkpJxxPv/oZ9xy9Cq9XAYDBi/4mLWLbpEHq0qYdXx90OD13ulY6dhXO2ioiIiMqM8ymnMe/MLBhgyElECSOMyDCk4/OTbyIpK8GhbSQiIiJyNq9+uRwHTkarnyURJfTX//1r+1F8sXAznBWTUURERG5UYNOazdmsi/kTGlg+o2hKSG29utbu7SIiIqKyzZnjq/OXr+HvnSdyklB5SZt+XrUbaemZcEZMRhEREbkDYzE2J3MwYbcaFVUQSUgdTNhj1zYREREROXN8te3A2SKPSU7LwMFTl+CMmIwiIiIihyosEZVzjFFvl7YQERERuQK9wVDAuPL8xzkjJqOIiIjcgNGosXpzNjX86qrV8woi19X0r2fXNhERERE5c3zVuFalIgdkSfHyutXC4YyYjCIiIiKH6hzep8hpeh3Ceti1TURERETOrGHNimrTaS0nwmR1vV7tG6BcgC+ckUdJbnT69Gls2LBB/ZuSkoLw8HC0bNkS7du3h4+PT+m3koiIiIrmhPWgrNEgqDl6VByI1Zd+V6OgTIkp+VkSUUMjH0aYdwTcAWMoIiIiF2OD+Gr9+vV45513sHPnTly8eBELFy7EwIED1XWZmZl44YUX8Oeff+LkyZMIDg5Gjx498Oabb6Jy5co599G1a1esW7cu1/2G1GiBOp2HQ+bv1aoSigf7NMfw4cOxaNEidX3//v0xc+ZMlCtXLuc2Z8+exWOPPYY1a9bA19cXw4YNw4wZM+Dl5QWnSUb98MMP+Oijj7Bt2zZUqFABVapUUY2NjY3FiRMnVCLqvvvuw7PPPovq1avbrtVERESUi7VDxJ1xmp7oW2koavnXx/qY5TiVfARajRYNAlugS/jtqO5fB66OMRQREZHrsVV8lZycjObNm+PBBx/E4MGDc10nA3527dqFF198UR0TFxeHiRMnqkTSjh07ch07ZswY/O/p57BkwwGs3HIEyel6VKlUHoO6NcfArk0xaGB/nDt3DsuXL1fHjx07ViWnFi9erC7r9Xr07dtXDTDauHEjrl69ihEjRsBoNKqklVMko2666SZotVqMHDkSP//8M6pVq5br+vT0dGzevBnz589H69at8cknn2DIkCG2aDMRERG5oYZBLdVWWBFzDbTQaJwzoVYQxlBERERkrk+fPmqzREZCrVq1Ktc+SQy1adNGjWIyz8X4+fmhYd1aanv6oTty3ebQoUMqCSV5mpvbtIFOq8UXX3yhZrQdOXIE9evXx8qVK3Hw4EFERUXljLp69913Vd5n2rRpCAoKcnwy6rXXXlMZs4J4e3urYWKyvf766zh16lRptZGIiIiKYu2ywi42lS/TkI4tV5dhy5VluJYZAw+NJxoHt0fn8DsR4esao7AZQxEREbkoJ4mv4uPj1ck48+l14vvvv8e8efNQsWJFldx6+eWXERgYqK77ZdFyePv644lvtiLrq82oVrEchnZvqZJdmzZtUskoSVQ1adIk1/S/Xr16qcFGMoWwW7dujk9GFZaIyissLExtREREZC8yWsiaEUOuM6oow5COOSenIirlqKodJbKMmdh3bSP2x2/CiBovoHZgMzg7xlBERERlI75KSEjIN2hHthuRlpaG5557TtVyMh+pJCWSatasiYiICOzfvx+TJ0/G3r171aiqNbuO47NfVwNefsjSZ9fiPHvpGt75ca3ad/7CBbUvOjpaJbLMlS9fXtWLkutsyepkVN5OLYwth3IRERFR2fD35V9yJaJMpMC5xmjEj2dn4NmGX8JTa9sCmzeKMRQREVHZEBkZmeuyjFSaOnVqie8vMzMTQ4cOhcFgUKWQ8taLMpHRTXXr1lUlk9b/sxkvfL8DRgujtWRXWnom9p38L9FkqfyB1IyydVkEq5NRMhysqMaYGixFsIiIiKjsDSMvLXpjFrZdXZEvEWUi+1P1SWqEVMvyXeHMGEMRERGVjfhKai+ZD865kVFRmZmZuPvuu1UJJFnprqhBP1Kj0tPTEwuWrUNGljc8fAORlZqY77istCQcvpik8jcyqmrr1q25rpeC6fLYeUdMOSwZtXbtWps2hIiIiMgkITNWJZsKo4UOF1NPOX0yijEUERFR2SAJo9KYKZZ5PRF17NgxFUeEhoYWeZsDBw6o2yVmekCr0cC/Qg3oM9KQfPkM/Ctk19mUn2Vfln8EktMyVDFzKVR+8eJFVKpUSR0jRc0lidaqVSs4RTKqS5cuxb7zRx99FK+++irrRxEREdmam42M0mmsC1F0Gk84O8ZQRERELspG8VVSUhKOHz+ec1lGP+3ZswchISGqmPhdd92FXbt2YcmSJWrmmal+k1wv9ZxOnDihipfffvvtKt8iK+JNmjQJLVu2RO1GTXFw02H4lq+IoKoNcHbjz6jWaYi6/ZkNCxAU2Qg+5SrA00OHnj17olGjRhg+fDjeeecdxMbG4qmnnlJTAG1dfklryzuXqu7FqZNAREREJWTUWL/ZgdGQBGPqYhiTv4MxbQ2Mxsxi3T7Qozwq+lSHppCioQbo0SDItmftHIUxFBERkfvGVzt27FCJI9nEk08+qX5+6aWXEHVqNRYtWoRz586hRYsWasSSaZNV8IQkpP766y+18p2sijdhwgSVWFq9ejU6N68DvSG7aHmNrvfBp3wlHFv2mdp8QyqhVvf70bpBJLw9PaDT6bB06VL4+PigY8eOajTWwIEDMWPGDNia1SOjSkLmIBIREVHZoT77kz+HMeljKZF5fXUZI6ANBYJegcanp1X3IzUou1W4C/PPvmvxei20qOJXB9X8GsAdMYYiIiJyX127ds33WW/MOgPjtf8BWROgv1jv+nArDeDdE5rgN6DRBuYqlL5u3TqL992pXDnUiCiPqMvXAB9/1Ox2f75jHuxzc87P1apVUyOw7M2mI6OIiIjIPiSesXazqeRPYUx693oiSrUs+x9DLIzXHocxfb3Vd9W0XEf0isgOoDTXQxZJQgkZNXV/jedsvtILERERlV32iq+M+iswxt4LZB0y7fnv3/RVMMaNgdFo3UJxOq0WsyYOQpWw4OuXs2MlqSOl1WowZfitaNcou4aUI9l0ZBQRERGVHUZDwvURURavVSklY+LbgNctVieROlcYhCbBHbAjdjVi0s/DW+erLtcLbAmtRleq7SciIiJyBGPKXHXiTooQ5GcAMncB6esAn+5W3V+l0CD8/MoDWLf3BP7efQLpmVmoUyUMAzs1QcWQ/0ZYORKTUURERO7AGQqYp60GkFH4g2cdBfQnAI86Vt9tiHcEelbKP8SciIiIyC3iq9TfCkhEmehgTP0DGiuTUUIKlPdoVU9tzojJKCIiIndgbfFMWxYwN8apYAkoYhi5QY4jIiIicnL2iq8M14o4QA8YrsCd2LRm1P3332/z5QCJiIjISWgrFZ2IUsdF2KM1Lo0xFBERURmiKyo20gG6qnAnJR4Zde3aNWzbtg2XL1+G4fqygSYPPPCA+nf27Nk33kIiIiIqksaYvVlznM343AokBALGxAIO0AKeraHxiERZxhiKiIjINdgrvtL4Dc2uq1ngfD89NH53AWU9GbV48WLcd999SE5ORmBgYK4ipPKzKRlFREREZYdG4w0EvQRj/NPZSxHnCqhkMLYnNEHPoyxjDEVERET5+A4FUhcCWScsjDLXAD791Ak9lPVpepMmTcJDDz2ExMREdXYvLi4uZ4uNlQrwRERE5JACm9ZsNqTxHQBNuZmArlruKzybQxM6HxrPRijLGEMRERG5EDvFVxqtPzQh3wM+d+QeM6QJAPwfhSb4LatXInbrkVHnz5/HhAkT4OfnV/otIiIiItcsYH6dxqcX4N0TyDqYXZBTVwUajxo2f1xXwBiKiIjIhdgxvtJog6Ep9zaMhueAzCOAxgPwbAqNxgfuqETJqF69emHHjh2oVatW6beIrHY25TTWXl6JY4mHodFo0SioKbpVuA0RPpXZi0RE5FDq7J1nYz4LeTCGcrzUtEz8ufEglqzfj9j4FESEBqJ/16bo2aGBWgabiIjIkTTaEMC7vds/CVYnoxYtWpTzc9++ffH000/j4MGDaNq0KTw9PXMd279//9JtJeXz9+VVmB/1HbTQwoDsAvIbYmKwIWYNRtV6FK3Kt2WvERGVJdYOEbfxND3KjzGU85Dk0yPTfsbZC7E5L4fLsUnYe/QCfl+7Dx8+Owh+Pl6ObiYRETkLxleOT0YNHDgw375XX33V4plQvd6KZZ2pxE4lH1eJKGFKRJn//NXJ2ajepCbCvCuwl4mIiByMMZTzePWzZTgXHZcrJ2s0Zl86cOIiPpz3NyaP7umw9hEREZUVVhcwNxgMVm1MRNnemksr1YioghmxLuYvO7SEiIichpMUMKf8GEM5h7MX47Dl3zPQGyy/CAwGI5ZuPIj4xFS7t42IiJwU4yvnWk2PHOtI4sFcI6LykuvkGCIiKkMYLBEVau/R80X2UFaWAQdPRrMniYiI8ZWzJKPmz59v9Z1GRUXhn3/+KWmbqAjWLOmogXst+0hEROSqGEM5B2sjI3dbOpuIiMilk1GzZ89GgwYN8NZbb+HQoUP5ro+Pj8eff/6JYcOGoVWrVoiNzS4MSaWvfmCjQqfpaaBFgyCuYEREVCaXHrZmI7tiDOUcWjSoWuQxsppeo9oRdmkPERG5AMZXji9gvm7dOixZsgQzZ87E888/D39/f1SsWBE+Pj6Ii4tDdHQ0wsPD8eCDD2L//v2oUIHFs23l1gq9sC12U4HXazUadA671WaPT0REzkdjzN6sOY7sizGUc6hasRw6tqiJLf+etlg3SuKnO7o0RpC/j0PaR0REzofxlRMko0S/fv3UdvXqVWzcuBGnT59GamoqwsLC0LJlS7VptSxDZWvV/WvhvmoP4Yezc9R0PFP9KBktJUPLx9Qaj1DvMJu3g4iIiKzDGMo5vPhwbzw2bQFOnLsCmY0nC+lJEspgNKJ5/SqYMKyLo5tIRERUJhQrGWUSGhqKAQMGlH5ryGq3hHdDrYA6WHd5NY4mHVJT8xoHNUOXCrci3Lsie5KIqKyxdqU8joxyKMZQjlUu0BdfvXovVm8+gsXrD+DqtWRUCgtC/25N0a11HXh46BzcQiIiciqMr5wrGUXOoYpvJIZVf9DRzSAiIiJyGT5enujXpYnaiIiIyDFKNKeufPnyCAkJybfJ2b4qVaqgS5cumDNnTum3loiIiJzWtGnT0KFDB/j5+aFcuXIWjzl79izuuOMOVXtSpvlPmDABGRkZKCsYQxERERGVcGTUSy+9pALOPn36oE2bNjAajdi+fTuWL1+Oxx57DKdOncIjjzyCrKwsjBkzhv1MSElMxboFW3D28Hn4+vvglkFtULNpNfYMEVEpkTXyrCpgbsMel6TSkCFD0L59e3z11Vf5rtfr9ejbt69a8ERqT0oNyhEjRqg4QhZIKQsYQ1FxHdt9GpuW7EJ6agZqNq6KW+68GT5+3uxIIqIyEl+5qxIloySAfP311zFu3Lhc+z/77DOsXLkSv/76K5o1a4aPPvqIySjC3z9vxrtjP0d6arqqxWAwGDFv2m9of0crPPftY/AN4Ko1RETu4JVXXlH/fvPNNxavlxjh4MGDiIqKQuXKldW+d999FyNHjlQnuYKCguDuGEORtZKupeD14R9jz7qD0HlkL1KTlanH7Gd+wLNfjkXbPi3YmUREVLam6a1YsQI9evTIt//WW29V14nbb78dJ0+evPEWkkvbvfYApg+fpRJRUvxNgiiDPnv1v61/7sb0B2Y5uolERO7BqLF+c5DNmzejSZMmOYko0atXL6Snp2Pnzp0oCxhDkTVktODUez/EvxsPq8v6LIOKoURqUipeGTYTR3YwziYisjkXiK/KVDJK6kMtXrw4337ZJ9eJ5ORkBAYG3ngL3TjIOHPoHI7sOIHEuCS4q3mv/wqN/JVZGNooSaktS3bhxN4zjmgaEVGZlpCQkGuThJCtRUdHo2LFivlqKHl5eanrygLGUDcuITYJR3edVFP/JZ5yR/s3HcX+f47mnMAzZ/qV57+7xP4NIyIicuQ0vRdffFHVhFq7dq2qGSXDhrdt24Y///wTn376qTpm1apVqpA55bdq7jrMe3UBLpy4lP0keOrQdWhHjH17OMpXtFzw1RUlXE3Evg3ZZ/QKIsPON/y2FbWbV7dbu4iI3FIxlx6OjIzMtfvll1/G1KlT8x0u+0zT7woidSNbt25tVTMlZsjXJKPR4n53xBiq5K5evIYvX/gR637ZBn1W9iihKrUr4v4pd6L7PR3gTjb8vgM6D13O75mXJKm2LtuDjPRMeHl72r19RERlRjHjK7JxMkqKkjdq1AizZs3Cb7/9poLIBg0aYN26dWoVHTFp0qSS3LXbWzBjET5/Zm6ufTLses2PG7FvwyHM2jod5cKD4Q5Sk9KKPEa+fEhxcyIism+wJHWbzGs0eXtbLog8fvx4DB06tNC7rFGjhlVNjIiIwNatW3Pti4uLQ2ZmZr4RU+6KMVTJxF2Kx8Rur+DKhbhco4XOn7yEtx76FNdiEjBofG+4C4mhihr1JTU401MymIwiIrIlJqOcKxklOnbsqDay3pULsfhy8vcWrzNkGRATdRU/TPsNj37woFt0a/mKwfDx90ZacsFTP6QGQmT9/2qHEBGRfUgiypqC4WFhYWorDbLKnhQqv3jxIipVqpRT1FwSYa1atUJZwRiq+L5/6498iSjler7myynz0W1IexV7uIOqdSP+m49XgKDQAPgH+9qtTURERA6vGWVanllWzZNV9SSwXLhwodpHBVv93bpCAwsJsJZ/vQZZmVlu0Y1ePl7oNbIrtLqC/8w8vT3QfSiTmkREN0qWHbZ2s5WzZ89iz5496l+JCeRn2ZKSsmsj9uzZU42sHj58OHbv3o2//voLTz31lBotVBZW0jNhDFU8MhVt5dz1FusnmY8SWv3jP3AXt93XCRptwVNXJbbq+1A3aLUlDuWJiMhF4it3VaKRUcePH1er5Z0/fx7169dXw4iPHj2q6k8sXboUtWvXLv2WugGpEaWRoMGgL3RYdmJcMspXcI8ze8NfGITty/cg+nRMriBSq9XAYDTiiY9HwT/Yz6FtJCKi0vHSSy/h22+/zbncsmVL9a/UmOzatSt0Op2KEx599FE1OsjX1xfDhg3DjBkzysxTwBiqZDUoZTpaYSQpE336MtxFSMVgPPzmMHzy1DyVlDIajLkSUdUaVMZdT/RxaBuJiIhuRIlOp0yYMEElnKTexK5du9TZTTkLWrNmTXUdWRZY3r/oJ0SrgW+Aj9t0YVBoID7c8Ar6jb0V3n5eOfvrt6mDaYuexW3DOzu0fUREblfTwJrNRr755ht1girvJokok2rVqmHJkiVISUnB1atXMXPmzALrVbkjxlDF5xfoa0WBeyP8g4uOs1xJ/7G34qUfHkftZtVy9kmMOPCR2/Du8snwD+IUPSKishBfuasSjYySQuVbtmxRyxObhIaG4s0332QdqULIink/z1hU4PVypqv9Ha3h4+deQXlwWBDGf/ggxrx5H66cj1VBpbvUdCAichossOkSGEMVn8QNN/dqjh2r/i1wqp7UoOx6V1u4mw79blLb1ehranRYWOXy8PLh6nlERHbD+Mq5RkbJGczExMR8+6UmhJfXf6NfKLe6N9VCh4E3q9FPeckQbElG3ffCYLftNm9fL1SpE8FEFBERlVmMoUrm/ucHqvjJUh0l2XfLnTejVtP/RhC5m9CIcqhcqwITUUREVLaTUf369cPYsWPV8symIfgyUmrcuHHo379/6bfSjTz//RNqhBQ02cGTzkOn9pcLD8Ibfz6vElZERETFxQKbroExVMnUb1ULr/46CcGhgeqyzkObnZjSAN3vaY9nvny4VJ8nIiIiwfjKyabpffTRRxgxYoRaotnTM3uocGZmJgYMGIAPPvigtNvoVrx9vTF53hMY+dpQbPp9O9JS0lGjcSTa9WuVk5giIiIqNqMme7PmOHIYxlAl1+rWJvj+2AfYumwPzhw6Dx9/b3S4oxUiqoeX4jNERERkhvGVcyWjypUrhz/++EOtCHPo0CE1MkqWaq5Tp07pt9BNVapZEYP/18/RzSAiIiI7Ygx1Yzw8PdCxf2u1ERERURlIRj355JOFXv/333/n/Pzee+/dWKuIiIioeFhg02kxhiIiInJRjK8cn4zavXu3VccVvfQuERERUdnBGIqIiIiohMmotWvXWnsoEREROajApjXHkX0xhiIiInJNjK+crGYUERERORkOIyciIiJifOUimIwiIiqG9KwsbD97HskZGagbHopaoSHsPyIiIqIiRJ2KwZnjl+Hr54UmrWrA2yd7VXYiKpuYjCIisoKsGvr55u34bNN2JKVn5OxvVbUypvW7jUkpcjwrp+mpEVRERER2TEJ9+PJC7N95JmefX4A37h7dBfeM7syaw+TcGF/ZjNZ2d01E5D7eWbMB7679J1ciSuw5fxF3fzMfUdfiHdY2IiIiImcUfS4W/xv2GQ7uOZtrf0pSOr75YCW+nLHcYW0jcqT169fjjjvuQOXKlVVC9vfff893Inzq1Knqel9fX3Tt2hUHDhzIdUx6ejoef/xxhIWFwd/fH/3798e5c+dyHRMXF4fhw4cjODhYbfLztWvXch1z9uxZ1Ra5D7mvCRMmICMj93ceW2AyioioCJJo+mrLTovX6Y1GJKdn4OMNW9iPLiIpfS+OX3kSu891wp7znXHq6otIzTwOt6kZZc1GRERkB9/PXouU5HQY9JY/fH79dqNKWJHzS87MwDf7d6Hfb9+h3fezMXjR91hwdD8y9Hq4NRvFV8nJyWjevDlmzZpl8fq3334b7733nrp++/btiIiIwG233YbExMScYyZOnIiFCxdi/vz52LhxI5KSktCvXz/ozZ6TYcOGYc+ePVi+fLna5GdJSJnIsX379lXtkfuQ+/r1118xadIk2Bqn6RERFWHRvkPQajQq8WSJ7F984DBe6XMrvD34turMohPm4EzcqwB08sypfZeTflRbnbAPEerfFy6LBcyJiMiJZGRk4e8/98KgNxR4jFarwV+L9uC+R7vbtW1UPJdTknDP4vk4nRCXE3JcTknGzksX8OOhvZh7+xD4e3q5Z7faKL7q06eP2izeldGIDz74AFOmTMGgQYPUvm+//RYVK1bEDz/8gIcffhjx8fH46quvMHfuXPTo0UMdM2/ePERGRmL16tXo1asXDh06pBJQW7ZsQdu2bdUxX3zxBdq3b48jR46gfv36WLlyJQ4ePIioqCg1Cku8++67GDlyJKZNm4agoCDYCkdGEREV4VJiUpH1DDL1BlxLTWNfOrHEtJ3XE1HC/Cye/KzHiSsTkZYZ5aDWERERuZek+FRkZhQ+akbiqyuXWOrA2T259k+cTbyWKy9juP7TnpiLeH3LWoe2z5kkJCTk2mQqXXGdOnUK0dHR6NmzZ84+b29vdOnSBZs2bVKXd+7ciczMzFzHSDKpSZMmOcds3rxZTc0zJaJEu3bt1D7zY+Q2pkSUkESWtFsew5aYjCIiKkKov586Q1EYD60WwT4+7EsnFp34zfURUZYZYcTlpO/hqqR4ubUbERGRrQUE+UDnUfjXTQmvyocF8slwYsevXcXGC2cKnCFgMBrxy9H9uJaWCndU3PhKRiaZ6jPJNn369GI/ZnR0tPpXRkKZk8um6+RfLy8vlC9fvtBjKlSokO/+ZZ/5MXkfR+5T7tt0jK0wGUVEVIQBTRsW+AEsdBoNbm9UDz6enKLnzBLSNucZEZWX/voxREREdKO8vD3RuXdTaHUFf+WUKXy39m/BznZiO6LPF3lMpsGAf6/YNnHhKmS6m0yhM22TJ08u8X1p8szMkJPjRc3WyHuMpeNLcowtMBlFRFSEGiHlcV+r5gUmorw9PfBop/+Gv5KzsuYDlR+LREREpeW+R7rD28dD1YaypO89bVClehg73IlZm47QWH2ke5MaS+abTK8rroiICPVv3pFJly9fzhnFJMfIineyWl5hx1y6dCnf/cfExOQ6Ju/jyH3KFMC8I6ZKG6NuIiIrvNCzK8Z1aAOfPAXK64aH4Yfhd6NWaAj70ckF+3QqdJqefCQG+3SEy+JqekRE5GSq1gjDu9+NRY26ub/Uenl7YOjYLnh0yh0OaxtZp22lyCKP8dbp0Cw8O4HidhwQX9WsWVMliVatWpWzTxJP69atQ4cOHdTlVq1awdPTM9cxFy9exP79+3OOkULlMjpr27ZtOcds3bpV7TM/Rm4jtzWRouaSRJPHsCXOKSEisoJOq8WT3TpibIfW+OfUWSRnZKBeeBiaVLLtGQMqPRFBI3E15Y9CzufpUCFwGLuciIioFNVqUAmf/PY4jh04jzPHL8PH1xMtO9SBfwBrbbqCGsHl0S2yFtafO2WxbIWsOD20fjMEe/P5LI6kpCQcP348V9HyPXv2ICQkBNWqVcPEiRPxxhtvoG7dumqTn/38/DBsWHasKvWoRo0ahUmTJiE0NFTd7qmnnkLTpk1zVtdr2LAhevfujTFjxuCzzz5T+8aOHYt+/fqplfSEFEBv1KgRhg8fjnfeeQexsbHqfuQ2tlxJTzAZRURUDAHe3ujVoC77zAUFeDdHzZBpOBU75frAYFP9KB000KJu+Gx4e/y3koirsbY4OQuYExGRI9RtXEVt5Hre7doH9y75CUfirqjTd7Loi5SqkOSUjJya3LYL3JWt4qsdO3agW7duOZeffPJJ9e+IESPwzTff4JlnnkFqaioeffRRNW1OVsSTEUuBgf8V/H///ffh4eGBu+++Wx176623qtvqdP/NBPj+++8xYcKEnFX3+vfvj1mzZuVcL8cuXbpUPU7Hjh3h6+urEl4zZsyArWmMRS0R5QROnz6N1157DWvWrFHzGWXZwfvvvx9TpkxRVd4Lc+jQITz77LNqSJvBYEDjxo3x888/q2yjNWQ5Rsk6ylA2W2cGiYjI9lIyjuBS4jwkpG2BRqNDOd8uqBBwP3w8ix6G7oxMn1N1nnsDOitWdNSnpeH4m8/zc62MfN4zhiIiotKQlpWFRScOqZXzYlKTUTUgCEMbNEevGnXVqtLuhvGV7eMnlxgZdfjwYZVIkqFlderUUXMaZdhYcnJyoRm7EydOoFOnTmr42iuvvKI6SZJTPlx+nYiozPLzqo+aoa/BLTn96SWyN8ZQRERUGqRu6t31m6qtzGF8ZRMukYySeY6ymdSqVQtHjhzB7NmzC01Gycip22+/HW+//Xau2xIR5ZWSloETZ69AVjCtUz0cPl6e7CRyLdYWz2RAVaYwhiIiWzt38jKuxSQiNCIYlbgyHrkbxldlOxlliQwDkyJdBZGRVDL3UeZa9urVC7t371ZV6SdPnoyBAwcWeLv09HS1mQ87IyL3lZaRic9++ge/r96LtIwstc/P1wtDerXE6MHt4eFR2OprRESuhzEUEZWGfzcfwxev/YHj+8/l7GvUuibGvDgADVrWYCcTUaFccnKnTL+bOXMmxo0bV+Axly9fVhXq33zzTXVWUIp93XnnnRg0aJCqH1WQ6dOnq+l8pi0y0jVriBBR0bKy9Jj01kL8vGxXTiJKpKRm4Ls/tuL5DxfDYOAwEnKtApvWbFR2MYYiotKwc/1hTB72CU4cPJ9r/+Fdp/H0XTNxcMcpdjS5BcZXbpqMmjp1KjQaTaGbVJk3d+HCBZVcGjJkCEaPHl3oyCgxYMAA/O9//0OLFi3w3HPPqWUMP/300wJvJyOn5IyhaYuKiirF35iInMmqzUew62AUDBbWcZBdG3acwKY9Jx3SNqISDyO3ZiOXxxiKiBxFvmd99OxPMBoAY56TdnIST6834OMXFjisfUSlivGVe07TGz9+PIYOHVroMTVq1MiViJLlD9u3b4/PP/+80NuFhYWpZQ4bNWqUa3/Dhg2xcePGAm/n7e2tNiJyfzI1T5LeBS0qqtNq8Mdf/6LTTbXt3jYiosIwhiIiR9m35QQun48r8HpJUJ08eAEnDpxD7cZV7do2InIdDk1GScJINmucP39eJaJatWqFOXPmQFvE8pFeXl64+eabVaFzc0ePHkX16tVvqN1E5B7OX7pWYCJK6A1GnLt0za5tIiopa6fgcZqee2AMRUSOEh111crjYpmMIpfH+KqM14ySEVFdu3ZV9Ztk9byYmBhER0erzVyDBg2wcOHCnMtPP/00fvrpJ3zxxRc4fvw4Zs2ahcWLF+PRRx91wG9BRM4mONC30OtlZb1ygX52aw8RUWljDEVEpS2ovH+pHkdEZZNLrKYnxcclmSRb1aq5h3qaj2qQUVBS58lECpZLfSgpSj5hwgTUr18fv/76Kzp16mTX9hORc+rTuTE++XG9qg9liezv0zn3VF8ip8Wlh8kCxlBEVNpu6lwffoE+SElMK/CYkIpBamU9IpfH+KpsJ6NGjhyptqJYmm7z0EMPqY2IKK/+3ZrilxW7cSUuSU3Jy1svqmrFcujZoYHbdVy6Ph0nko8jy5CFqn6RCPEKcXSTqDQwWCILGEMRUWnz9vHCA5P64NOp/81Iyeuh5+6ATucSk3CK5fT5q6qEQ6CfN5rUqwxdEaVjyA0wvirbySgiIlsICvDB7JeHYsoHi3Do5CVVzNyU2G5Wvwpem9APPt6ebtP5BqMBiy/8gVWXViDNkH02UwMNWpRrifuqPYByXuUc3UQiIiJyAf0f7IysLAO+m/EnMtIyodVpYdAb4OPvjTEvDMCtg2+GOzl6+jLembMa+49dzNkXVt4fDw/phH5dmzi0bUSuiskoIirTKoUH4etp9+PgiWjsPXIeko5q1TgSdatXgLv59vTX+Odq7tVEjTBi77U9OJtyFi82mooAjwCHtY9uDAtsEhGRvcgJvMFju6H3ve2xecW/uHYlCWGVgtGuZ1P4+Hq51RNxIuoKxr0yH+mZWbn2X4lLxrTPVyA1PQNDet3ksPaRbTG+sh0mo4iIADSqHaE2d3U6+VS+RJSJAQbEZcRi9aUVGFhlsN3bRkRERK7JP9AHPe5qA3f28Y/rVSLKkKekg8msH9ajzy2NEeDnbfe2EbkyTnIlIioD/rmyAdpC3vIlIbU+Zp1d20Q2qmlgzUZERERFio1PxpY9pwpMRInMTD3WbD3C3nRXjK9shiOjiIjKgLjMOJVwKkxCVoKqK6XV8DyFS2KBTSIiolIVE5dU5DkcqZd16Woie95dMb6yGX7jICIqAwI9AgsdGSX8dH5MRBERERFdVz7Qr8i+MBgMKB9U9HFElBuTUUREZUD70I6FjoySRFXHsFvs2iayTYFNazYiIiIqWoXQQLRoUBVabfaKy5ZotVp0b1uf3emmGF/ZDpNRRERlQN2Aemga3BwatV5g/kSUn4cfbqvYyyFtIyIiInJWjwztpFYPlM2S4Xe0QUgwR0YRFReTUUREZYAEUI/UfkyNfso7XS/SrxqeazAFIV4hDmsflQIW2CQiIip1zepVwQfPDUbF0MBc+328PPDw3R0xdkgH9ro7Y3xlMyxgTkRURnhpvTCyxkO4s8ogHEw4gExDFqr7VUd1/xqObhqVAmun4Nlymt60adOwdOlS7NmzB15eXrh27Vqu6/fu3Ys333wTGzduxJUrV1CjRg2MGzcOTzzxhO0aRUREdINaN66GXz8YjV2HonD+0jUE+HmjXfOa8Pf1Yt+6OWeIr9wVk1FERGVMsGc5VUOKqLRlZGRgyJAhaN++Pb766qt81+/cuRPh4eGYN28eIiMjsWnTJowdOxY6nQ7jx4/nE0JERE5L6kZJUko2IrpxTEYRERG5AydYeviVV15R/37zzTcWr3/ooYdyXa5VqxY2b96M3377jckoIiIicj5OEF+5KyajiIgon2sZUTiSsAopWbHw9whB/aBeCPaqwp5yIwkJCbkue3t7q83e4uPjERLCemVEROT6MrKysPrf49h58jyk3nnrWlVxa9M68PTQObppRE6HySgiIsphMOqx8dJM7I//AxqYAicjdlydi6blBqFThceg0XDtC3c4cyfT5My9/PLLmDp1KuxJRkX9/PPPqs4UERGRKzt47hIe+/J3XElMgYc2O1b6adO/CA/yxyejB6JBlQqObiKVBEdG2Qy/URARUY4dV79ViShhhP76ZlCX9137TSWlyDlpirGJqKgoNSrJtE2ePNni/UqCyrSkdUHbjh07it3eAwcOYMCAAXjppZdw22233eBvT0RE5DhXEpMx5tNfEZuUqi5nGQxqE1cTUzBq9i/qX3L/+Iqsx5FRRESkZBpSsSf250J7Y0/sT2gRcjc8tb7sNRcXFBSktqJIYfGhQ4cWeoysilccBw8eRPfu3TFmzBi88MILxbotERGRs1mweR+S0jJgMOYfoiz75Lrftu7HmB5tHNI+ImfEZBQRESnnknciy5heaG9kGlNxPmUPagS0Z6+VkWHkYWFhaistMiJKElEjRozAtGnTSu1+iYiIHGXl3qMWE1Emct2KvUeZjHJFnKZnM0xGERGRkmlMs6onikpYkWNojNmbNcfZytmzZxEbG6v+1ev12LNnj9pfp04dBAQEqERUt27d0LNnTzz55JOIjo5W1+t0OoSHh9uuYURERDaUkp5Z5DGpGUUfQ87HGeIrd8VkFBERKSFeNa3qiRCv6uwxskjqP3377bc5l1u2bKn+Xbt2Lbp27YoFCxYgJiYG33//vdpMqlevjtOnT7NXiYjIJdWvHI5L8YnQGyxnJHRaDepXLr1RxkTugAXMiYhICfOpjQo+DaAp4KNB9kf4NEaIt3VJK3LQMHJrNhv55ptvYDQa822SiDIVQ7d0PRNRRETkyoZ2bF5gIkrIdfd0aG7XNpH7xFfuiskoIiLK0T3iGVWcXANdrl6Ry15aP3SNeJq9RURERGSmfb1qGNK+6fWYyTx+yja0Q3O0qRPJPiMyw2l6RESUQ0Y9Dan+GXZenYejCathQBZ0Gk/UDeyBVqH3I9irMnvLmfGsHBERkd1pNBq8OPhWNK5aEd+u24lTl+PU/poVQjCyaysMbNNYHUMuivGVTTAZ5UZSUjJw+txV6HRa1K4eBg+P3CMbiIisEexVBd0rPYsuFf+HdEMSvLUB0Gm92HlOjgU2iUpGpoqePxWDxLhkhFcuj7BK5diVRFT8z2GNBoPbNcWgtk2QkJq92EuQrzeTUC6O8ZXtMBnlJkmoz75bj6Wr9yEjI0vtKxfki6F33oyhd7aBVsssPBEVnySg/LQh7Doicls71h7CnDcX4+TB89k7NECrzg0w5sWBqF6/kqObR0QumpQK9vNxdDOInB5rRrm49PRMTHzhJ/yxfE9OIkpcS0jFp9+ux4yPV6ozfkRE5OZYYJOoWDb+uQcvjfgMpw5dyPU62r3xKP434H2cOXKRPUpEVNYxvrIZJqNc3OKV/+LIiWgYCli9Ycmqf3HgiFmQRURERFTGZWZkYeZzP8Mo/+U5aWfQG5CeloFPp/7msPYRERG5OyajXNwfy/YUer1Oq8HSVfvs1h4iInJsTQNrNqKybttfB5AQl1xgUVqD3og9G4/i8vlYezeNiIicCOMr22EyysVdvJyAwmbh6Q1GnLuQvZoDERG5MQ4jJ7LaxTNXodUVXVPzUhSTUUREZRrjK5thMsrFBfp7F3q9FC8PDvK1W3uIiIiInF1gOT81+sma44iIiKj0MRnl4np2a1zoanlSS6pHl4Z2bRMREdkfh5ETWa99r6bw8NQV/HrSAJF1KnBFPSKiMo7xle0wGeXi7rrjJgT4e1tMSMm+erUrolObOg5pGxEREZEzCirvj7vG3Vrg9VIC4cHn+qsl2omIiKj0MRnl4sJDAzFz+r2oWrl8TgLKFDjd1Kwa3n1lCDw8Cj7zR2QLWYYs/HNlG9469BGe3/c63j/6KfZc2w+D0cAOJ7IV1jQgKpbhT/XB0Md7Zo+Q0gA6XXZY7Bfog6c/vF+NniKyt6iLcZj57VqMeW4eHp7yA+Ys2IyrUmyfiNwqvqpRo4b63p53e+yxx9T1I0eOzHddu3btct1Heno6Hn/8cYSFhcHf3x/9+/fHuXPnch0TFxeH4cOHIzg4WG3y87Vr1+AMPBzdALpxNauFYe7HD2HP/igcOnpRBVNtbqqp9hPZW1JWMqYdfB+nU85CA41aNvtM8jlsi92F1uVb4Im6Y+Gh5VsPUamzNhDianpEilarxYhn+mLg6C74Z9m/SIxLRsWqISoJ5e3rxV4iu1u6dj/e/GSFmiYqixCJg0cvYt7vW/H25EFo1aQanxUiN4mvtm/fDr1en3N5//79uO222zBkyJCcfb1798acOXNyLnt55f5smjhxIhYvXoz58+cjNDQUkyZNQr9+/bBz507odNkDUoYNG6YSVMuXL1eXx44dqxJScjtH4zdCNyGZ0pZNq6mNyJE+Of41zqZkZ+QlESUMyB4RtTNuLxacW4R7qw1yaBuJiIhMgkMCcPt9Hdgh5FCHjkdj+ifLs1fJNvtSazAakZ6hxzPTf8OCj8cgpJy/I5tJRKUkPDw81+U333wTtWvXRpcuXXL2eXt7IyIiwuLt4+Pj8dVXX2Hu3Lno0aOH2jdv3jxERkZi9erV6NWrFw4dOqSSUFu2bEHbtm3VMV988QXat2+PI0eOoH79+g59PjlNj4hKzcXUS9h9bV9O8ikvSU6tjF77//buBD6q6uzj+H8me0JWAmHfEZBFEBXBhU0RZRMVxN1KsVpBsWKt9a2gLdbaurRo3UoFFMUN64KiIG7IqoIgArIa9jUQAlln5v2cq4kJJMMQMuv9ff1cM7lzZubcO9zkyTPnPEcFrkLOOlDDKLAJAOHrtVlfy1lFjTKPx6OiIpfe/XhlwPsF2F0g4quioiIrkXTTTTdVqFX46aefqm7dujrllFM0atQo7d69u+w+M/qpuLhY/fr1K9vXoEEDdejQQQsWLLC+X7hwoTU1rzQRZZipfmZfaZtgIhkFoMasyl1z3DYF7kJtPLyZsw7UNGpGAUDYWrx8c9nUvMqYEVKmDYDQjq9yc3MrbKau0/H873//s+o4mTpRpS6++GJNnz5d8+bN06OPPmpN6+vTp0/Z8+3cudOatpee/lPt6FJZWVnWfaVtTDLraGZfaZtgYpoegBpjAqWabAcAAGAHbvfxF3lx+dAGQHCZaXLljR8/XhMmTPD6mMmTJ1vJJzOyqdSVV15ZdtuMdjrjjDPUtGlTzZo1S5ddVnXJEzOSsvzoqspWhT26TbCQjAJQY1ontzj+Dx1HlJolVfwhDeDkOUxg4UOi15c2AIDA6tS2oRYu2yR3FaOjzIrZnds14m0BQjy+2rJli1JSUirUffLmxx9/tGo8zZw502u7+vXrW8modevWWd+bWlJmep9ZLa/86Cgzla9Hjx5lbXbt2nXMc+3Zs8caQRVsTNMDUGOaJzVR61ot5KziR4vZf15md9WKpvgmAABAqeEDulaZiDLMGIZL+53GCQNCnElEld+Ol4x64YUXrGlzAwYM8Npu3759VqLLJKWMrl27KiYmRnPmzClrs2PHDmtVvtJklClUbgqdL1mypKzN4sWLrX2lbYKJZBSAGjWm9SilxabKYYVNPym9bUZEXddsOGcc8AdqRgFA2DqjU1ONvPKnPw6jnL/EUFFRTquw+Z9uv0T166YGsYeATfkxvnK73VYy6oYbblB09C+T1vLy8jRu3DirAPnmzZutQuaDBg1SZmamhg4darUxRchHjhypu+66Sx9//LGWLVuma6+9Vh07dixbXa9du3bq37+/VfzcrKhnNnN74MCBQV9Jz2CaHoAaVSeutv7W6X7N3fW5PtvzpQ4V5ykzrrb6Zp2vnnW6K9YZyxkH/MDXlVxOZrUXAID/3DSsh05r20ivv/+NVqzZqiinU2ef3twaNdW62bFFiAGEd3w1d+5cZWdnW6volRcVFaWVK1dq2rRpVmFzMxqqd+/eevXVV5WcnFzW7vHHH7eSWMOHD1d+fr769u2rKVOmWI8vZYqg33777WWr7g0ePFhPPvmkQgHJKAA1zkzDu7Thxdbmq8KiEs1b9IM+WbhWh/OL1LxRbQ25oBPBFwAAsI2uHZtY24nIXrdT709foI3fb1d8Yqx6XNRRvYacrvhE79ODAARXv379rGLiR0tISNCHH3543MfHx8dr0qRJ1laVjIwMvfTSSwpFJKMABN2uvbka8+Dr2rrzgMzCDuZn8oo12zTzo291/dBu+s2Ic0JixQcgpPk6RJyRUQAQMd54Zp4mP/SOnFFOuV1uK15aOu97TX/iQz084zY1bF4n2F0Ewhvxld9QMwpAUJlPA+5++C3t2H3w5+9/2u/6uYjntLcWa/bn3weziwAAACFn0UffWYkowySijNJRFvt35+q+a59WSbErqH0EgKqQjAIQVF+v2qL12XvLkk9HM+OhXvzfkkqHsAI4tqaBLxsAIPy99vRcOcsVOy/PJKd2bdmvxXO/C3i/gEhCfOU/JKMABNXi5ZutlWKqYv5u3rxtv/bm5AW0X0DYYTU9ALCNgvwirf56s9xVfJhnREU79dUnqwPaLyDiEF/5DckoAEHlcrut0U/HU+JiOAcAAED5aXnemEHlLh/aAUAwkIwCEFSntqqnkuMESumpiaqTUStgfQLCEcPIAcA+EpLi1KBZprXwi7eEVZvOTQPZLSDiEF/5D8koAEHV86zWSk9JkLOKaMqsCnNF/y6K9jKVDwAAwE5MfHTpyJ5VLpDqcDqshFXvoV0D3DMA8A1/3QEIqpjoKD189xDFxkYpqlwRztLc1FmdmujaIWcGr4NAuKCmAQDYyiXXnqPzLulclnwqZWpxRkdH6b5nf6XEWvFB7CEQAYiv/Cbaf08NAL7p2Kahpv39Br32/jea++Ua5RcWq0mDdF1+UWdd0rO9FVABwVLidunL3Ru0OW+fkqJj1ateG2XGh+a0UVbKAwD7MEmne568Xt0uaK93p36hzWt3KDYuRudecpo1aqpJ63rB7iJsbteug1qyaIMKi0rUsmVdnda5aZUrQIYy4iv/IBkFICQ0qpem393Ux9qAULFg9wbd+81b2lOQJ6cccsujKMcsXd38TN3doZ+inSRKAQDBTUj1vfxMawNCRWFhsR5/9APNnfNd2bRSs/JjgwZpuu/+S9W2bYNgdxEhgGl6AABU4tv9W3XLwunaW3DY+t4kogyXx62XNi7WX1a8H1rnzSyb5OsGAADgl3DEoz8/8D/NnbuqLOwwiShj586DumvsdG3Zsi98zj3xld+QjAIAoBKTVs+T2+OR+e9oZs/rm7/W1sM5nDsAAICfrVm9XQsXrJPn5wRUeSYpVVxcolemL+R8gWQUAABHyyk8rAV7NpaNhqqMGXL+/rafhp+HApYeBgAAwfbx3FXW9NGquFweffzxKrlcboUD4iv/oWYUAARQsbtEa3KzVeguVrOkesqMS+X8h6CDxQXHbWNqSOUUHlHIrfbiSzsAAMLMjp0HtHX7ASUmxqpt63peEx4IntzcfGuqnjclxS6rrlRiYpxCHvGV35CMAoAAML+UZ2R/ohk/fqLckp8SGA45dE5me93R5jKSUiGmTlwtRTucKvFU/amdy+NRw8S0gPYLAAC7yd66T48/NUfffJtdti+zdi3ddN25GtCvU1D7hmPVzTr+B61JteIUHx/L6bM50skAEAD/Xv+OntswqywRZZhaRAv3fa/bvvqXDhTl8T6EkKSYOPVv2F5RjqqXH452OjWwcUeFCofb9w0AgHCwbUeObv3dS1q+ckuF/Xv35emRJ2br1ZlLg9Y3VK7/xZ3KCpZXxul0aMDALtbXcEB85T8kowDAz348vEtvbPm80vvMymx7C3OtUVMILXe066PkmPgqE1Lj2l+otNhEhdwwcl82AADCwPNTv1D+kaIqkxvPTflcB3PzA94vVK1RowxddXX3Su+LinKobt0UjRhxdvicQuIrvyEZBQB+NnvHUkU5qv5x65Zbs7YvOu78egRWw6R0zeg5SufWbaXy6SgzNe/h04fqupZhFEgBABBm8g4X6vP5a+XyMsrG5XJp7qffB7RfOL6Ro3rptjEXKiMjqWyfGQl1fs92mvTUDUpNC6EP8xA01IwCAD/bXZBz3ERTXkmBCtxFSogKg0KONtIkKUNPd79Gu/JzlX14v5KiY9U2tZ6cXpKLwV7txZd2/jJx4kTNmjVLy5cvV2xsrA4cOFBl23379um0007Ttm3blJOTo7Q06m8BAH6xPyfPayLKMEXMd+/J5bSFGLPi8GWXn6khQ7pq3bqdKioqUeMmtZWe/ktyKlyEQnwVqUhGAYCfpcYmWb+U5SUhFeuMVpwzhvciRGUlpFgbvCsqKtKwYcPUvXt3TZ482WvbkSNHqlOnTlYyCgCAo6UkJxz3pJjpe6kpjLIJVVHRTrVt1yDY3UCICr2PdgEgwlyQ1dWqDVUVM4XvwnpnhORoG4QRk+z0dfOTBx54QHfeeac6dvRe2P3pp5+2Rk2NGzfOb30BAIS3tNREnXF6M6+Frs3I87492wW0X7CZEIivIhV/+QCAn7VLaaJzMzvIUaHyUOkPYYc1IuqqJr15H1Ajw8h92YLp+++/14MPPqhp06bJ6SQMAQBU7dfXn2clo6wR5pW4bHBXZdVl5DL8J1ziq3BEFIhqyyk8rK/2bdS3OdkqdpdwJoEqmADqT+2vVf/6Z1rJJ2vfz/c1Sqyjf54+Wg0TMzl/CKjc3NwKW2Fhod9f07zGVVddpb///e9q0qSJ318PCEVmWpGpofLNss3aubPqumoApHan1Nff/zxMdTJrWaejNCcVHe3U1cO66bZf82EeEK6oGYUTllN0WP/4/n19tGNl2dSj1JgEXd/iXN3Q4jymGgGViI2K0e/bXamRLS7W4n2rVeQuUctaDdQhtVmVn/YB1Vp62Jd2kho3blxh9/jx4zVhwoRjmpt9ZvqdN0uXLtUZZ5xx3Je+99571a5dO1177bU+dBSIPJ98slr/mfyZduz4JQnVpUtTjRl9oZo140MJoDKnn9ZUr75wi75e/qO2btuvxMQ4dT+rhU81pYBAx1fwHckonJBDxfm6aeFz2npkv1zl5sUeLM7XpLVztP3IAd3XcQhnFahC7bgUXdKgG+cHQbdlyxalpPwytSEurvKVHEePHq0RI0Z4fa5mzZr59Jrz5s3TypUr9cYbb1jfl64ymZmZqfvuu++4SS8gnL03a7kee2z2Mfu//TZbo8dM01NPXq+mTUlIAZUxU/XOPL2ZtQGIDCSjcEJe2bxQWw7vl7uK1O+bW5bq8iZnqm0qqyYAQCgvPWwSUeWTUVUxiSKz1YQ333xT+fn5FUZU3XTTTfriiy/UsmXLGnkNIBQdOVKop576uMppewUFxXru+U818S9XBLxvAICai6/gO5JROCFvZi+tMhFVuirY21u/IRkFAIHm60ouflztJTs7W/v377e+ulwuLV++3NrfqlUr1apV65iE0969e62vZupeWlqa3/oFBNvnn69VYWFxlfebhNSiReu1f/9hZWQkBbRvAIDQjq8iFcko+MxMp9hTeMhrG1NDant+DmcVAGzo/vvv19SpU8u+79Kli/X1k08+Ua9evYLYMyC4du46qKgop1yun2ptVvV3zN69h0hGAQBsgdX04DNTZLlWdLzXNmZkVFpMImcVAGy49PCUKVOsDy6O3qpKRJn95n5GRSHSpaYmyu2uOhFVKiWVgswAEEpCIb6KVCSjcEIGNepiJZy8jYy6pGFnzioAAMDPep7fxirA7O0Dv1NPbaB6WamcMwCALZCMwgm5tvk5SoyKrTQh5ZRDZ9ZuobNqt+CsAkCwlh72ZQMQUBkZtTRsWOUrqTocP22/HtmTdwUAQg3xld+QjMIJqZ+QpsndR6lZ0k8rKzn006d85v8X1O+gx7teY326BwAILIaRA6HNJJuuuaaHYmKirO9L46W0tCT95c+Xq3PnpkHuIQDgaMRX/kMBc5ywVslZeu28Mfo2J1urc7crxhmlHnVaq0FCOmcTAACgEmaa3sibztfwYWdpwYJ1yssrUIMG6TrrrBZWcXMAAOyEZBSqxXya1zmjqbUBAEKA2/PT5ks7AEGTnByviy7qyDsAAOGA+MpvSEYBABAJfK0HRS4KAACA+CrISEYBYWTHkYN6b+sK7SnIU934ZA1q3ElZCSnB7hYAAEDIcpW4tWjReq1YkW3VO+3cpanOZHokAAQVySggDLg9bj26aq6mrF9gTZE0Kxe6PR498f3H+vUp5+qOdn0oHA/YnOPnIpu+tAMAu9i0cbfuu/c17dqVW1ab6/XXFqt+/TRNfHi4mjb9aVEeAKgM8ZX/UC0RCAPPrv1CL6xfYM2uMUmoEo9bbnms7bkfvtB/138Z7C4CAACElAMHDut3Y6drz55D1vcul9vajF27DuqusdOVm5sf5F4CgD2RjAJC3JGSIv1n3XyvbZ5b+4UKXcUB6xOAEOTx+L4BgA3Mene5Dh0qkLuShRvMPpOsmv3BiqD0DUCYIL7yG5JRQIhbuGej8o+TaDpUUqglezcHrE8AQo+ZoufrBgB2MG/eKnm8JODNXZ98vCqgfQIQXoiv/IdkFBDiDpcU+tiuyO99AQAACBdHDh8/Njp82Lc4CwBgw2TU5s2bNXLkSDVv3lwJCQlq2bKlxo8fr6Ii779g8vLyNHr0aDVq1Mh6XLt27fT0008HrN9ATWiZXMfHdhTgBGzNcwIbbIMYCnbWrHkdOZ1VL9tgCpo3b+FbnAXApoiv7J2MWrNmjdxut5599lmtWrVKjz/+uJ555hn98Y9/9Pq4O++8U7Nnz9ZLL72k1atXW9+PGTNGb7/9dsD6DpysU1Prq01KlrWCXmWcDoc6pTdU65QsTjYAoAJiKNjZoCGnV1ovqpQpZj5oSNeA9gkAjAkTJliroZff6tWrV3ZyzBRj06ZBgwbWwJpevXpZuZDyCgsLrfxGZmamkpKSNHjwYG3durVCm5ycHF133XVKTU21NnP7wIEDIfEmhEUyqn///nrhhRfUr18/tWjRwjrJ48aN08yZM70+buHChbrhhhusN65Zs2a6+eabddppp+mrr74KWN8RWdwel344tFAf7Xhas3c8pZUHPlaJ27/T48wPpomnD1FcVLSiHBUv2SiHQwlRMXqg8yC/9gFA6HN4PD5vsA9iKISKnfsP6T8fLNZfXp6rJ9/+Uht27PP7a3bv3koXXNi+yvv7X3KaunZt5vd+AAhf/oyv2rdvrx07dpRtK1euLLvvkUce0WOPPaYnn3xSS5cutRJVF154oQ4d+ml1UGPs2LF66623NGPGDM2fP9+aGTZw4EC5XK6yNldffbWWL19uDdIxm7ltElKhIFph6uDBg8rIyPDa5txzz9U777yjm266ycoofvrpp/rhhx/0z3/+s8rHmOyi2Url5ubWaL8RvvYXbtOr2X/SgeKdcirK2rcsZ5Y+3vW8rmh8vxolnuq31z41rYFm9Bylp9Z8ork71sjt8ViJqX4N2ml0295qzhQ9AGa18p9WLPfOlzaIaMRQCCTz6f4zsxbq+Q8WyyGHNW3O7Jv84RIN6tZOf7r2QsVE/RRX+eMDvd//YZBOOaW+Xn99ifbs/imuz6qXquHDu2nwpV2tNgAQjPgqOjq6wmioUuZn5BNPPKH77rtPl112mbVv6tSpysrK0ssvv6zf/OY31u/yyZMn68UXX9QFF1xgtTEzwho3bqy5c+fqoosusmaHmQTUokWL1K1bN6vN888/r+7du2vt2rVq06ZNUN/4sExGbdiwQZMmTdKjjz7qtd2//vUvjRo1yqoZZd5op9Op//znP1aSqip//etf9cADD/ih1whnha4jevnHPyivJMf63q1fss0FrjzN+PH/9OuW/1Za7LE/TGpK65S6euKsK5VXXKADRflKj01UUkyc314PABB5iKEQaK9+9q2ee3+xddsjj9yuX0YPvLdktZIS4nTP8N5+e31TF+ryYWdp6OVnau/eQ1bRg9qZyV5rSQFAdR09mCUuLs7aKrNu3Tpr0Iy53ySLHnroIWsm2KZNm7Rz505rZlj55+nZs6cWLFhgJaO+/vprFRcXV2hjnqtDhw5WG5OMMjPFzNS80kSUcfbZZ1v7TJtgJ6OcoTZP8ujt6Cl127dvt4acDxs2TL/+9a+Pm4wyWUAzOsq8WSZ59dvf/tbKFFbl3nvvtbKMpduWLVtq7HgRvlYd/ESHSvaZEOqY+8y+Ek+Rvt7/bkD6UismXo2S0klEAaiAaXr2QgyFcFDscun5DxZVeb+Z1fL65yu0/9ARv/fFJJ/q1k1RnbopJKIA+C2+MiOTSuszmc0MdqlMt27dNG3aNH344YfWaCWTfOrRo4f27dtn3TbMSKjyzPel95mvsbGxSk9P99qmbt26x7y22VfaxrYjo8xKdyNGjPDaxtR6Kp+I6t27tzWs7LnnnvP6uPz8fKvAuZlDOWDAAGtfp06drDmS//jHP8qGsh3NW+YS9rUmd775UVTlMlQmIfV97ufqW29UwPsGALAfYiiEg1Wbd2n/oXyvbVxut+Z/t0mDu1dd2wkAwoUZzJKSklL2fVW5hYsvvrjsdseOHa0cR8uWLa3peGb0knH0NGIzfe94U4uPblNZe1+eJ+KTUabqu9l8sW3bNisR1bVrV6uYuZly540Zsma2o9tFRUVZK/MBJ6LIbQIp70Xpit0FnFQAwV962Jd2CHvEUAgHBUXFx21j/hzK96EdAIRDfGUSUeWTUb5KSkqyklJm6t6ll15q7TOjl+rXr1/WZvfu3WWjpUytqaKiImu1vPKjo0wbM8KqtM2uXbuOea09e/YcM+oqGMJiNT0zIsqsiGeGvJlRTebkmTfm6KFlbdu2tUZCGeYfgJlTeffdd1uFy828yylTplhD4YYOHRqkI0G4qhvfXI6fi5ZXxiGn6sQ1DWifAKACMzzc1w22QQyFYGqWlWElm7wxP5Fa1q8doB4BQGjGV4WFhVbBcZN8at68uZVImjNnTtn9JvH02WeflSWazCCdmJiYCm3MinzfffddWRsz2sqUHlqyZElZm8WLF1v7StsEU1gUMP/oo4+0fv16azPFyI8eYlbKVIQ3J7aUWeLQ1IC65pprtH//fjVt2lQTJ07ULbfcEtD+I/x1Sb9Y3x74sMr7zTS9rhmDAtonAACOhxgKwVQvI1nntG+mhat/lMt97B9qTodDDTNT1bV1xfgeACLduHHjNGjQIDVp0sQazfSXv/zFKn5+ww03WFPoxo4daxU0b926tbWZ24mJibr66qutx5t6VCNHjtRdd92l2rVrKyMjw3pOM7qqtCRRu3btrHrbZlG3Z5991tp38803a+DAgUEvXh42yagbb7zR2o6nfGLKMNlEM6UPOFn1E05Rj8wrtWDvq5XWjmqbcp7apZzHiQYQNA7PT5sv7WAfxFAItntH9NF1j8zQwcP5FRJSUU6HoqOiNPHG/iFRuwQAAhlfbd26VVdddZX27t2rOnXqWHWizOJrZgCN8fvf/96qg20WYDNT8UzBc/MBU3JyctlzPP7444qOjtbw4cOttn379rVmg5nSRKWmT5+u22+/vWzVvcGDB+vJJ58MiTfb4Tk6g4MKTHbSZB3NiKvqzP1E5DCXyqrcT7Vo7+vaU7jZ2pcSU1dnZVxqjYpyOqqexgcA/v491bPHnxQdHX/c9iUlBfpswZ/5vVbFeeT3fc3/2+ScYlfOIT3/wWK9t/h7FRa7rNXs+nZurd9c0k0tG/hWPxYAAon4yv+/68NiZBQQCsyndh1Se6t9Si8VuPPk9riUGJXKp3kAQoOv9Qr4DApAgGWlJ+v/rr5Avx/WSwePFKhWQpwSYmN4HwCEPuIrvyEZBVQjKZUQ9cvwSAAIBQ73T5sv7QAgGGJjolUntRYnH0DYIL6y+Wp6AAAAAAAAiAyMjAIAIBIwjBwAAID4KkyQjAIAIBKYclG+LEnCsiUAAADEV0FGMgoRZcfBQ9qdm6fMWolqmJ4a7O4AAACEvKKiEmWv22Xlqpu0rKu4eIqLAwD8i2QUIsJ323bqkdlfaOnmrWX7ujSur3EXnafTmzYMat8AIBAcHo+1+dIOAIySYpdeeWae3nlpgfJyC6x9iUlxGnDV2bp2zAWKjeVPBQD2RnzlPxQwR9hbvmWHrnn+NX3947YK+7/dulM3/PcNLdqYHbS+AQAAhCK3262H73pFrzw9rywRZRw5XKg3Jn+uB347Va4SV1D7CACIXCSjENY8Ho8mvDNXJW633Ed92m++N9v9b8+12gGALQqY+7IBsL2ln63Vl3NWVfojwcRN33y5Xl98uNL25wmAzRFf+Q3JKIS1NTv3aO3OvcckokqZ/Vv2H9RXR42aAoCIY34Mun3Y/JCLMn+4ety5P20ku4Cw8MHrS+SMclR5v9Pp0KwZiwPaJwCwW3zl9hSpxLXP+mo3TARHWDOJJl9s3X9QZzZr5Pf+AICdmMSTO/91ufL+I49rvbXPEd1KUUmj5Ey4Qg5H1X/oAgiubZv3ye2q+q8nt9uj7dn7AtonALCLwpIftevgJB04/JY8KpJDsUpLukxZqWMUF91EdkAyCmEtNSG+RtsBQLgKdIFNk4gqyZ0g95EXzbP+sr9kg0oO3iNn8XeKTplAQgoIUSlpiTL5Ym8/ElJSEwPZJQCwRXxVUPyD1u+8TC5PnqSfavOZhFTO4deVe+QDtar3luJjWivSMU0PYa1r04aqnZTgtU2tuFj1aNU0YH0CADvwFH35cyLK+q78Pdb/zX2eogVB6RuA4+szuIvXRJQZ2dh3yOmcSgCoYVv2jauQiPqFy9pv7rcDklEIa9FRTo298FyvbUb36a74GAYBAohwHl+LbNbMy5UcfklSlJcWUT+3ARCK+g7uovpNMuSMOvbPgagop2pnpeiiK84MSt8AIFLjq/yi1TpStKySRFQpl44UfaOCorWKdCSjEPau6NpB9w3oVZZwinI6rQkjsdFR+t2F5+r67l2C3UUAiLjVXjwl33sJpAyXPCWra+S1ANS8+MRYPTLtZrVu37CsYLnZjKats6z7klO9jz4HgIhXw/FVQbFvSaZ8H9uFM4aLICJce3YXDe3SXh+tWqdduXnKTE5Sv1NbKYVaUQDgFw5H0nE/BHQ4+EMWCGWZWal64tXfau3KLVqxeKP1t1SHM5qpXecm1HsDAD9wOnyrxee0QQxFMgoRIykuVkNPbx/sbgBAcJhlhR0+tqsBzvhL5Mpb5+UJnXLGD6yZFwPgV206NrY2AIB/46ta8edYH9Z5PPleE1amXaRjmh4AADhhUYkjJEetCqHEw/88oF6Dtiu9xWZltd2kqMQrK33slClT1KlTJ8XHx6tevXoaPXo07wAAAIh4Uc4k1U2+2UuGy6E6yb9RlDPyVzNlZBQAABHAH0sPe32eqDqKqf2SivffJLn3WiFFUZFDlw1KUrcz0jRlxhE5ojKPedxjjz2mRx99VH//+9/VrVs3FRQUaOPGjTXSJwAAgFCPr7JS71SJO0f78qb9vBiMSUyZx7tUu9b1ykodKzsgGQUAQCTwtXhmDSWjDGdMB8XW/ULugtlyFy3RhPGSM7abps3YJc24+5j2OTk5+r//+z+9++676tu3b9n+9u2ZYg0AAOwRXzkcUWqUMVF1kkdq/+E3VOLareiouspIukJxMS1kFySjAABAtTkccYpKGGJtv+ybUmnbOXPmyO12a9u2bWrXrp0OHTqkHj16WCOlGjemXg0AALCPuJgWqp/2e9kVNaMAALDh0sO5ubkVtsLCQr930UzHM8mohx56SE888YTeeOMN7d+/XxdeeKGKior8/voAAAD+jK/gO5JRAADYkBmJlJqaWrb99a9/rbTdhAkTrCXevW1fffWVT69pElHFxcX617/+pYsuukhnn322XnnlFa1bt06ffPJJDR8hAAAAQhXT9AAAsD748qjAXaQYR7SinaaYZGTXNNiyZYtSUlLKdsfFxVXa3Kx0N2LECK9P2axZM5+6WL9+fevrqaeeWravTp06yszMVHZ2tk/PAQAAQkuJy3zYVKL4uBjrQ6qIEoSanHZBMgoAYGvF7hK9tXW+/rf1C+0qzJFDDp2Z0VZXNe2rTmlhVETS7WWV4KPbSVYiqnwyqiomUWS2mnDOOedYX9euXatGjRpZt800vb1796pp06Y18hoAACAwfli/U9NfX6zPF/wgt9uj9LREXTqgi4YPPVOJCbGR8TacYHwF35GMAgAE3YGiPH20c6GWH1hnLW3bIbWV+tc7WxlxqX5PRP1xxfNalrNeHmtJXfPqHn21f62W7l+je0+9Wn2zuvq1D5HEjG4yySXz1eVyafny5db+Vq1aqVatWjrllFM0ZMgQ3XHHHXruueesZNi9996rtm3bqnfv3sHuPgAAYTeq+5sV2Xr/4++0Z2+uamfUUv/eHXRml2ZyOv07QmnJ15t07wNvWn0wiSgj58ARTX1lgeYvWq9/PTxCiYmVj7oGDJJRAICgWpazVg+s+o+K3MVlCSGTlJqx5SP9X7ubdFbt9n577be2flEhEVXK/fPHW4+snqEz0tsoNbaWQp3D47E2X9r5y/3336+pU6eWfd+lSxfrq6kH1atXL+v2tGnTdOedd2rAgAFyOp3q2bOnZs+erZiYGL/1CwCASFNUXKIJj7yr+YvXW4knkxAyXz/+fI3O7NxUE+8bak2b84fCwmI98Ld35HK7j5mdZvqxYdNuKyl168jw/6ApFOKrSEUBcwBA0OwpyNGEVc9XSEQZ5naJu0R//n6ytuXv9strm0/yTDLq6ERUeS6PWx/uXKqwEAKrvUyZMsU6r0dvpYkow4yGmjx5snJycrRv3z7NnDnTKqYOAAB898yUz/Tlkg3W7dKRSaVfv/42W088O9dvp/PTL39Q3uHCKkMK0493Z39rJczCXgjEV5GKZBQAIGje37HASjpVlhAye9wej97dPt8vr13gKtLuwgNe25j6URvytvvl9QEAAKrjUF6B3pn9rfWBT2VM/PThvFXan3PYLyd4w8bdio7ynko4fKRIe/Ye8svrIzKQjAIABM3i/d/J7WVkkpkut2Tfd355bbNi3vGqKZgFYWKdYTKj3Xwa6usGAADC1srV21RU7PLaxuX2aNl3W/zy+nFx0VUmwsqLjQmTGMob4iu/IRkFAAgal8d7IGWU+NCmOmKc0Tojo62cXn4Vmml6PTI7+OX1AQAAqsPl8m3pNleJf2KoHt1aWcmuqjgcDrVqXleZtUO/5iaCh2QUACBoTk1poShH1b+KzH2mjb9c1aRPlTWjzGs3TczSWbXbKSxQ0wAAAFs4pWWWNXr7eNq2ru+X1293Sn117ti4yhX7zKip66/qbiWlwh7xld+QjAIABM3ABudao4+qYu4b1OA8v73+aemtdE+7qxTtMFP2HHLKUZYca5RQR3/r/BuvybLQ4mtxTabpAQAQzrLqpOics1opqopkkNl/eqcmatIow299+PN9l1pJKev1opxWYsraHA6NHtVHPc9po8hAfOUvETCJEwAQrlrWaqTftByqZze8JafDKffPiSkzdc7Ui7qh2QC1T/XfyCjjwnpn6IyMNvpwx1JtPLxdcc4Ya2qeGREVPokoAABgJ+N+20+33fOytu86WKF+k0kI1c6opT+OvcSvr5+SnKCn/nGNvvk2W5/OX6Mj+UVq3DBDl/TrpLqZyX59bUQGklE2V+x26Zs923S4uEjNUzKsDQAC6dKGvdQiqZHe2vqJlh/4wdrXIbWlhjbqpdPT2wakD+mxyRrRtI/Cmq/LCrP0MFAjdu04oM0b9yg2LlrtOza2vgJAoGSkJ+m5x67T2x8s17sfrtC+nDylpSZqYL9OGnpJF6WmJPi9D2YaXtfOTa0tYhFf+Q2/NW3KZM9f+mGZnlgxX/sKjpTtP6tuY03sdpFap2UGtX8A7KVTWitrA4BQt3vnQf3zkfe1dOH6sn1JteI0/JoeuvL6c6qsoQIANS25VryuHXa2tQHhhvkHNvX0qkX605KPKiSijK/3bNVls1/Uptz9QesbAKAaWHoY8Lv9+/J0x6j/6uslGyrsP5xXqBee/URPP/4h7wIARBLiK78hGWVDe/MP69Hln1d6n8vj0ZGSoirvBwCEKFNvy9cNQLW8+uIC5eQclttV+ZTYt99YquzNezi7ABApiK/8hmSUDb29+XuvJUNMQuqD7LXKLSoIZLcAAABCltvt0ex3l1WZiCpdUeqjWd8GtF8AAIQjklE2tPPIoSqXAS2fkNp71BQ+AEAYFNj0ZQNwwgoLipV/pOg4l6FHe3blcnYBIFIQX/kNySgbqh2faCWbvDGpqvQ4/6/AAAAAEA7MannHWzHPrCyVllErYH0CACBckYyyocHNTrU+uatKlMOhPg1bkYwCgHBCgU3Ar8wUvAv6d7K+VsXlcuuCizvyTgBApPBTfPXXv/5VZ555ppKTk1W3bl1deumlWrt2bYU2N954o/UhR/nt7LMrrpxYWFioMWPGKDMzU0lJSRo8eLC2bt1aoU1OTo6uu+46paamWpu5feDAAQUbySgbapCUopvanVnpfU45FOVw6s7O5wa8XwCAk8AwcsDvrry+h+ITYuSspNyB+SOhZ99T1bpNfd4JAIgUfoqvPvvsM912221atGiR5syZo5KSEvXr10+HDx+u0K5///7asWNH2fb+++9XuH/s2LF66623NGPGDM2fP195eXkaOHCgXC5XWZurr75ay5cv1+zZs63N3DYJqWDzPtYYEeu+rn2UGB2j575fokJXSdn+xslperTHAHXIqBfU/gEAAISa+g3S9dgzN+rhCW9p0/rdZfvNaKlLhpyuW8b2C2r/AADhYfbs2RW+f+GFF6wRUl9//bXOP//8sv1xcXGqV6/yv80PHjyoyZMn68UXX9QFF1xg7XvppZfUuHFjzZ07VxdddJFWr15tvZZJenXr1s1q8/zzz6t79+7WSKw2bdooWEhG2ZTT4dBdnc/XqFPP0mfbNymvuFAtUjJ0Vt3G1id7AIAwYz6Q8+VTOeqXAyelecu6embazVr7/XZt2rBbMbFROqNbS6WlJ3FmASDSBCi+OnjwoPU1IyOjwv5PP/3USlKlpaWpZ8+emjhxovW9YRJXxcXF1oiqUg0aNFCHDh20YMECKxm1cOFCa2peaSLKMFP9zD7ThmQUgiYlNl6DmrXjHQCAcOfrEHFW0wNOmvngrm37htYGAIhgJxhf5eZWXFHVjGwym/eHevS73/1O5557rpVIKnXxxRdr2LBhatq0qTZt2qQ//elP6tOnj5WEMs+5c+dOxcbGKj09vcLzZWVlWfcZ5mtp8qo8s6+0TbAwMgoAAAAAAOAkmSly5Y0fP14TJkzw+pjRo0drxYoVVs2n8q688sqy2yZJdcYZZ1iJqVmzZumyyy7zmtwqP9upsplPR7cJBpJRAABEArfb/M/HdgAAAKjp+GrLli1KSUkp2328UVFjxozRO++8o88//1yNGjXy2rZ+/fpWMmrdunXW96aWVFFRkbVaXvnRUbt371aPHj3K2uzateuY59qzZ481giqYWE0PAAAAAADgJJlEVPmtqmSUx+OxRkTNnDlT8+bNU/PmzY/73Pv27bOSXSYpZXTt2lUxMTHWanylzIp73333XVkyyhQqN/WolixZUtZm8eLF1r7SNsHCyCgAACIBNaMAAACqrdjt0uqD21XoLlYdd7xf46vbbrtNL7/8st5++20lJyeX1W8yhcUTEhKUl5dnTe+7/PLLreTT5s2b9cc//lGZmZkaOnRoWduRI0fqrrvuUu3ata3i5+PGjVPHjh3LVtdr166d+vfvr1GjRunZZ5+19t18880aOHBgUIuXGySjAACIBCSjAAAAqhFCeTR98wK9sOFz5RQd/mnfkSK/xldPP/209bVXr14V9r/wwgu68cYbFRUVpZUrV2ratGk6cOCAlZDq3bu3Xn31VSt5Verxxx9XdHS0hg8frvz8fPXt21dTpkyxHl9q+vTpuv3228tW3Rs8eLCefPJJBRvJKAAAAAAAYEv/XPuhpm2sWDzcrRNLLlUnAeaNGR314Ycf6nji4+M1adIka6uKGTH10ksvKdSQjAIAIBK4TVDj8bEdAAAANuftOSYRRXwVGCSjYHv7i/Zqwd552pi3Tk6HU+1SOuns2j2VFF3L9ucGAACgMi63W/OXbdQHX65WzqEjapCZosE9O6pzm4ZBXy4cAHz17tZlinI45fKw2nCgkYyCrX29f6Gmbf63NZbA8/OSnT8cWqXZO97Sra1+rxa1Tgl2FwHAJx6P29p8aQcAJyPvSKHG/mOmVq7fIafTIbfbo5Xrtuv9L1erX/e2Gn9zf0VHsWg3gNC3I/+A1ylzxFf+w28J2NaWI5s1dfNTclszgn/548wjjwrdBXp6/SPKKzkU1D4CgM9MIOX2YTvBApsAcLQHn5+tVRt/WvnJJKIM189f5yxco8n/W8hJAxAW0mITvY/mJL7yG5JRsK1Pd8+WQ5X/4ClNSC3a91nA+wUAABCqtu46oM++3lCWhDqa2fvqR8tUUFQc8L4BwIm6uOFpTNELEpJRsK1VB5dZo6KqYhJSqw4uD2ifAKDaSpce9mUDgGpasir7uG0O5xdp9aZdnGMAIa9DaiP1ymorZxWDFIiv/IdkFGzLWyKqlMvjCkhfAAAAwqVwuS/1yV0u6tMBCH1mit5Dna/UgIadyxJSVc2eQc2igDlsq1lSK63N/a7KpJRTTrVIah3wfgFAtbjdksOHP/4oYA7gJLRvUe+4AyxN8fLWjetwngGEhfioGD1w2uW6rc2Fmr97rQrdJWqgJPXSP4iv/IhkFGyrZ52LtDp3hddpeufU6RvQPgFAtVl/HfowBY9pegBOwqkt6qlNs7pan72nrGh5eWZ1vYu6t1VqcgLnGUBYqRufosuanGndzs3N/Wkn8ZXfME0PttU+tbMuyBpUNgqqlLlthmZe3XSU6sRlBbGHAAAAoWfibQOsZJNJPJUyt8z0vRYNa+vOa3oFtX8AgNDHyCjY2pCGI9SyVhtrZb1Nh9fJ6YjSqcmd1DvrYmsaHwCEC4/bLY8P0/Q8TNMDcJIaZ6Xrpb9cp9fnLNd7X6xS7uECZWUk67I+nXRp705KiIvhHAOICMRX/kMyCrbXIbWLtQEAAMA3tVOTdMsV51gbAAAnimQUAACRgJoGAAAAxFdhgmQUAACRwBQSdlDAHAAAgPgq9FHAHAAAAAAAAAHDyCgAACJmmp7bx3YAAAAgvgoeklEAAEQAj9sjjw/T9DwkowAAAIivgoxpegAAoEZMnDhRPXr0UGJiotLS0ipts3TpUvXt29e6Pz09Xf369dPy5ct5BwAAAGyEZBQAAJHA4/Z985OioiINGzZMt956a6X3Hzp0SBdddJGaNGmixYsXa/78+UpJSbH2FRcX+61fAAAA4RpfRSqm6QEAYEMFuf9SnCNd0fEXKSqmVY085wMPPGB9nTJlSqX3r127Vjk5OXrwwQfVuHFja9/48ePVqVMnZWdnq2XLljXSDwAAAIQ2RkYBABApNaN83Ix9u57Tnu2PaMfGXtq5+UYV5Of4vY9t2rRRZmamJk+ebI2iys/Pt263b99eTZs29fvrAwAA+DO+gu9IRgEAYMNh5KeesUWN22arcdttqt98qv48vrffu5icnKxPP/1UL730khISElSrVi19+OGHev/99xUdzWBtAAAQYpim5zckowAAiAAlKlaJx4dNP9Vm+v6r+tqypmHZNvbWfXIVfXvM806YMEEOh8Pr9tVXX/nURzMS6qabbtI555yjRYsW6csvv7RGRV1yySXWfQAAAOEcX8F3fAwJAEAYi42NVb169TR/5/s+PyarrlO106MUH+8otzdaxfnvKSr2tAptR48erREjRnh9vmbNmvn0ui+//LI2b96shQsXyul0lu0zq+q9/fbbx30dAACAUI2vTHvzOPiGZBQAAGEsPj5emzZtsmowVcXt2qu83eeXfR8b4zgqEfUTjyf3mH2mxpPZasKRI0esJJQZTVWq9Hu3m1VoAABAaMVXs358UisOzJNbLq/tb2n1rGon1bMeB9+QjAIAIMyZwMdb8OPxJMhZkCJ58rw8i1vOKN9GOFXFrIi3f/9+66vL5dLy5cut/a1atbLqQ1144YW6++67ddttt2nMmDFWAurhhx+26kX17u3/mlUAAAC+MrFVo9ottbbkM3m8VDiKccarXnpDRTljOLkngJpRAAAEmctTrD35y7XzyCIdKd5Z48/vcMQoNvEqSVHeWikm8YqTep37779fXbp00fjx45WXl2fdNltpTam2bdvq3Xff1YoVK9S9e3edd9552r59u2bPnq369euf1GsDAAD72ZZzUF+u/1HLsrerxFXzo6w7pPWRw0vaxNzXOa0fiahqcHg8HtYg9CI3N1epqak6ePCgUlJSqnOOAQColPkV/MPBV7R6/wsqdB8o/dWs+onnqGude5QUU6/GzpzbnaPDe4bI49pi0l/l7jFT5jyKS5mguFo32fad4vc95xQAED5+3HdAf37vY325IbtsX+2kRN3W+2yNOLNThZIAJ+ur/bP04Y6ny2Km8omo1Ji6+lWLR5UYnSo7yj2JfAkjowAACJKV+57S8r2Pl0tEGR7tPLJQc7f+Svkle2vstZzOdCVl/k8xCcMlxf2yP7qVEtL/betEFAAACB/bDuRqxPOvaNFG8wHbL/YdPqIH35unZz9fUqOvd0bGAF3W6A/KjGtcti/KEaPT0i7QjTZORJ2ssElGDR48WE2aNLHmbZqh/Nddd501tP94nzibJakbNGighIQE9erVS6tWrQpYnwEAqEpe8VatPjCt0vs8cqnQlaPvc16o0RPojMpQQvrflFxvmZLqzFGtul8oqc5cxSQM5I2KYMRQAIBI8uS8hTpUUChXFZO8Js1bqN2HvNXJPHHtUs/VzS2f0m2t/6NRLZ/UnW2ma0DD25VEIiryk1GmsOlrr72mtWvX6s0339SGDRt0xRXea1s88sgjeuyxx/Tkk09q6dKl1lKLpnjqoUOHAtZvAAAqszl3ltcaBCYhtSn3Hbk9JTV+Ah3OWoqKaSNndNMaHcaO0EQMBQCIFEeKijVr5Rq53N6rDb377Zoaf20TM6XF1lPd+GaKi0qs8ee3m7BZTe/OO+8su920aVP94Q9/0KWXXqri4mLFxMRUOirqiSee0H333afLLrvM2jd16lRlZWXp5Zdf1m9+85uA9h8AgPIOlxy/ULnLU6Bid57iotI4eag2YigAQKTIOZKv4uMUKnc6HNpxkAEooS5sRkaVZ5aNnj59unr06FFpIsrYtGmTdu7cqX79+pXti4uLU8+ePbVgwYIA9hYAgGPFR6Uf97Q4FK1oZxKnDzWGGAoAEM5S4+OsZJM3ZmBKemJCwPoEGySj7rnnHiUlJal27drKzs7W22+/XWVbk4gyzEio8sz3pfdVprCw0KoIX34DAKCmNUnub03Fq4pDUWpSq59VIBM4WcRQAIBIUCs+Tr3btFCUs+qElKklNei0tgHtF8IsGWWKi5t5l962r776qqz93XffrWXLlumjjz5SVFSUrr/+eivr6c3RtTBMe2/1Mf76179aSxOWbo0b/1IxHwCAmpIed4qa1Lro52WCKzK1pJyOWJ2a8StOOCpFDAUAsKvRfborymlipcpiKGl4145qkkGJg1Dn8Bwvm+NHe/futTZvmjVrZq2gd7StW7daiSIz5a579+7H3L9x40a1bNlS33zzjbp06VK2f8iQIUpLS7PqR1U1MspspczIKPM6Bw8eVEpKygkeIQAAVXN5irV8z2PakPtWhVFSyTFNdHbWn5URfyqnL0DM73vzIVS4/L4nhgIA2Nmy7O26583Z2pJz0EpAmaRGtNOpa7p11rh+5yk6KqwmgdkyfgpqAfPMzExrq47SHFr5xFF5zZs3t1bPmzNnTlkyqqioSJ999pn+9re/Vfm8pq6U2QAA8DczBa9r3XvUPuPX2nFkoVWwPDW2pTLjO7PKHbwihgIA2FmXJg00+45faenmrdqwd78SY2PU85Tm1IoKI2Gxmt6SJUus7dxzz1V6ero16un++++3Rj6VHxXVtm1ba5rd0KFDrSB+7Nixeuihh9S6dWtrM7cTExN19dVXB/V4AAAoLz66tpqnDOSkoMYRQwEAIpXT6VC3Fo2tDeEnLJJRCQkJmjlzpsaPH6/Dhw+rfv366t+/v2bMmFFhFNPatWut4WGlfv/73ys/P1+//e1vlZOTo27duln1ppKTk4N0JAAAAIFDDAUAAEJRUGtGhYNwqyEBAABOHL/vax7nFACAyJZ7EvkSqnoBAAAAAAAgYEhGAQAAAAAAIGBIRgEAAAAAACBgSEYBAAAAAAAgYEhGAQAAAAAAIGBIRgEAAAAAACBgSEYBAAAAAAAgYEhGAQAAAAAAIGBIRgEAAAAAACBgSEYBAAAAAAAgYEhGAQAAAAAAIGBIRgEAAAAAACBgSEYBAAAAAAAgYEhGAQAAAAAAIGCiA/dS4cnj8Vhfc3Nzg90VAADgJ6W/50t/7+PkEUMBABDZck8ifiIZdRyHDh2yvjZu3Lg67w0AAAiz3/upqanB7kZEIIYCAMAeDlUjfnJ4+AjQK7fbre3btys5OVkOh0M1mUE0Ca4tW7YoJSVFkcwux2qX47TTsdrlOO10rHY5Tjsda00dpwmHTCDVoEEDOZ1UMagJxFAnxy7XsJ2O1S7Haadjtctx2ulY7XKcNXWsJxM/MTLqOMwJbdSokfzFvOmR/o/cbsdql+O007Ha5TjtdKx2OU47HWtNHCcjomoWMVTNsMs1bKdjtctx2ulY7XKcdjpWuxxnTRxrdeMnPvoDAAAAAABAwJCMAgAAAAAAQMCQjAqSuLg4jR8/3voa6exyrHY5Tjsdq12O007HapfjtNOx2uU4Yb/33C7Haadjtctx2ulY7XKcdjpWuxxnKBwrBcwBAAAAAAAQMIyMAgAAAAAAQMCQjAIAAAAAAEDAkIwCAAAAAABAwJCM8qPBgwerSZMmio+PV/369XXddddp+/btXh/j8Xg0YcIENWjQQAkJCerVq5dWrVpVoU1hYaHGjBmjzMxMJSUlWa+zdetWBcPmzZs1cuRINW/e3Opvy5YtrSJoRUVFXh/ncDgq3f7+97+XtTHHfvT9I0aMULBU91hvvPHGY47j7LPPjqj3tLi4WPfcc486duxo9d/8+73++uuP+fceKe9puF2nxsSJE9WjRw8lJiYqLS3Np8eE43VaneMMt2u0uscartdpdd7TcLxGYa/4yU4xlF3iJzvFUHaKnwxiqMi6Tu0SP4VDDEUyyo969+6t1157TWvXrtWbb76pDRs26IorrvD6mEceeUSPPfaYnnzySS1dulT16tXThRdeqEOHDpW1GTt2rN566y3NmDFD8+fPV15engYOHCiXy6VAW7Nmjdxut5599lnrH+njjz+uZ555Rn/84x+9Pm7Hjh0Vtv/+97/WBXv55ZdXaDdq1KgK7czrBEt1j9Xo379/heN4//33K9wf7u/pkSNH9M033+hPf/qT9XXmzJn64YcfrB9MR4uE9zTcrlPDBIjDhg3Trbfe6vNjwvE6rc5xhts1Wt1jDdfrtDrvaTheo7BX/GSnGMou8ZOdYig7xU8GMVRkXad2iZ/CIobyIGDefvttj8Ph8BQVFVV6v9vt9tSrV8/z8MMPl+0rKCjwpKamep555hnr+wMHDnhiYmI8M2bMKGuzbds2j9Pp9MyePdsTCh555BFP8+bNT+gxQ4YM8fTp06fCvp49e3ruuOMOTyjz5VhvuOEG6/iqEqnv6ZIlSzzmR8yPP/4YUe9puF+nL7zwgtXX6gin6/REjjPcr9GTeU/D6Tr19TjD/RqFfeMnO8VQdomf7BRDRXr8ZBBDRdZ1apf4KZRjKEZGBcj+/fs1ffp0a5hcTExMpW02bdqknTt3ql+/fmX74uLi1LNnTy1YsMD6/uuvv7aGCpZvY4bQdejQoaxNsB08eFAZGRk+t9+1a5dmzZplDfc9mjlnZvhf+/btNW7cuAoZ2XA61k8//VR169bVKaecYmXMd+/eXXZfJL6npY8xn9QePSQ03N/TSLlOT1Q4X6e+CPdrtLrC9Tr1xq7XaKSyU/xkpxjKLvGTnWIo4qfIu059FQnX6YkKx2vUF4H+fRp9Qq1xwsz8UjPEzQzvM/Nn33vvvSrbmjfeyMrKqrDffP/jjz+WtYmNjVV6evoxbUofH0xmKP2kSZP06KOP+vyYqVOnKjk5WZdddlmF/ddcc401F90MDfzuu+9077336ttvv9WcOXMUCnw91osvvtgaHtm0aVPrAjdDPPv06WNdyObijsT3tKCgQH/4wx909dVXKyUlJaLe00i4TqsjXK9TX4T7NVpd4XqdHo9dr9FIY7f4yU4xlF3iJzvFUMRPkXed+ioSrtMTFY7XqK8C/fuUkVEnyBTzqqpwZOn21VdflbW/++67tWzZMn300UeKioqyip2ZomDemOcoz7Q/et/RfGnjz+M0TBE3M2fY/ED69a9/7fNrmVoH5uI1hUrLM5n1Cy64wMqymuJvb7zxhubOnWvN1a1J/j7WK6+8UgMGDLCOY9CgQfrggw+secbmE5JIfE9Npty8X6aWwL///e+IfE/D+TqtrmBep/4+zlC5RgP5ngb7Og3EcYbCNQr7xU92iqHsEj/ZKYayS/xkEENFVgxll/gp0mIoRkadoNGjRx+3Kn6zZs3KbpthemYzwxbbtWunxo0ba9GiRerevfsxjzNZVMNkFM3qMaXMUMfS7KRpYwqR5eTkVMhGmjZmCHuwjtP8IjIFR81xPffccz6/zhdffGEVKH311VeP2/b000+3huivW7fOuh1ux1rKvLfm0wNzHJH2npof0MOHD7c+GZk3b16FTwsi5T0N5+u0uoJ9nQbqOIN9jQbqWEPhOvXncYbSNQr7xU92iqHsEj/ZKYayS/xkEENFVgxll/gp4mKoE6owhZOSnZ1tFTr75JNPvBYM+9vf/la2r7CwsNKCYa+++mpZm+3btwe1CNzWrVs9rVu39owYMcJTUlJyQo81Re+6du3qU9uVK1da5++zzz7zBMvJHGupvXv3euLi4jxTp06NqPfUFJa99NJLPe3bt/fs3r07Yt/TcL1OT6ZYY7hdpydblDIcrtHqHmu4XqfVKb4Zrtco7BM/2SmGskv8ZKcYym7xk0EMFTnXqZ3ip1COoUhG+cnixYs9kyZN8ixbtsyzefNmz7x58zznnnuup2XLllZF+lJt2rTxzJw5s+x7U7nevNlmn/kHfNVVV3nq16/vyc3NLWtzyy23eBo1auSZO3eu55tvvrFWUDnttNOq/cv9ZJjK+a1atbL6YH4p7dixo2wr7+jjNA4ePOhJTEz0PP3008c87/r16z0PPPCAZ+nSpZ5NmzZ5Zs2a5Wnbtq2nS5cuQTnO6h7roUOHPHfddZdnwYIF1nGYQLp79+6ehg0bRtR7Wlxc7Bk8eLB1DMuXL6/wGPMDLJLe03C8Tg2z2of5eWTeg1q1alm3zWb+jUbSdXqixxmO12h1jzVcr9Pq/NsNx2sU9oqf7BRD2SV+slMMZaf4ySCGiqwYyi7xUzjEUCSj/GTFihWe3r17ezIyMqzscLNmzaw3zfzArvAGSFamsnw2cvz48VZG0jzu/PPPt/4RlJefn+8ZPXq09dwJCQmegQMHWp8aBoPpuzmGyjZvx2k8++yzVv9NdvVo5njMsZtjjI2NtYLQ22+/3bNv3z5PsFTnWI8cOeLp16+fp06dOlYGuUmTJtYnmUe/X+H+npofulU9pvST7Eh5T8PxOjXMvztv70+kXKcnepzheI1W91jD9Tqtzr/dcLxGYa/4yU4xlF3iJzvFUHaKnwxiqMiKoewSP4VDDOX4uQMAAAAAAACA37GaHgAAAAAAAAKGZBQAAAAAAAAChmQUAAAAAAAAAoZkFAAAAAAAAAKGZBQAAAAAAAAChmQUAAAAAAAAAoZkFAAAAAAAAAKGZBQAAAAAAAAChmQUgLDSq1cvjR07tsaf9/zzz9fLL7+sQLjiiiv02GOPBeS1AAAAiJ8AhBqSUQBs77333tPOnTs1YsSIsnPRrFkzPfHEE2Xfezwe3XXXXUpOTta8efNO6pzdf//9mjhxonJzc21/7gEAQHgifgJwMkhGAbC9f/3rX/rVr34lp7PyH4kul0sjR47UtGnTrERUnz59TuqcderUyUp2TZ8+3fbnHgAAhCfiJwAng2QUgLCVk5Oj66+/Xunp6UpMTNTFF1+sdevWVWjz/PPPq3Hjxtb9Q4cOtabHpaWlld2/d+9ezZ07V4MHD670NQoLCzVs2DDNmTNHn3/+uc4880yf+vbvf/9brVu3Vnx8vLKysqypeeWZ13vllVeqddwAAADVRfwEIBSQjAIQtm688UZ99dVXeuedd7Rw4UJrKt0ll1yi4uJi6/4vv/xSt9xyi+644w4tX75cF154oTU9rrz58+dbiap27dod8/x5eXkaMGCAVq1aZT1XZW0qY/p0++2368EHH9TatWs1e/ZsqyZVeWeddZaWLFliJbsAAAAChfgJQCiIDnYHAKA6zAgok4QySaIePXpY+8y0NzMK6n//+581mmnSpEnWaKlx48ZZ959yyilasGCBVeOg1ObNm62RS5VN0fvzn/9s1Yj6/vvvVbduXZ/7lp2draSkJA0cONB6fNOmTdWlS5cKbRo2bGglokytKnM/AACAvxE/AQgVjIwCEJZWr16t6OhodevWrWxf7dq11aZNG+s+w4xKMiOQyjv6+/z8fGsqXWX69eunw4cP66GHHjqhvpkRWCbB1KJFC1133XVWkuzIkSMV2iQkJFhfj94PAADgL8RPAEIFySgAYclMyatqv8PhOOZ2VY/LzMy0aidUpm/fvtboq+eee05jxozxuW9mNNQ333xj1YSqX7++tXreaaedpgMHDpS12b9/v/W1Tp06Pj8vAADAySB+AhAqSEYBCEunnnqqSkpKtHjx4rJ9+/bt0w8//FBW26lt27ZWXaaj6zmVZ6bPmalyVSWkzCgnM63vv//9r2677bYqg7ijmVFbF1xwgR555BGtWLHCmg5oVuIr9d1336lRo0ZWMgwAACAQiJ8AhApqRgEIS2aluiFDhmjUqFF69tlnrdFIf/jDH6xaTGa/YUYzmcLhZgW9QYMGWcmgDz74oMJoKZOMMqOTTO0pU+OpMn369NGsWbOs+00y6qmnnjpmxFV5Jnm1ceNG67XNSn/vv/++3G63NYWw1BdffGFNAwQAAAgU4icAoYKRUQDC1gsvvKCuXbtaSaLu3btbiSKT+ImJibHuP+ecc/TMM89YySgzTc6sanfnnXdWqBEVFRWlm266yarr5E2vXr2s537xxRd16623eh0hlZaWppkzZ1pJLDNKy/TBTNlr3769dX9BQYHeeustK5EGAAAQSMRPAEKBw+PrnBMAiAAmAbRmzRprZFKpXbt2WYmir7/+OiAr25mRVW+//bY++ugjv78WAADAySJ+AlDTGBkFIKL94x//0Lfffqv169dr0qRJmjp1qm644YYKbbKysjR58mRlZ2cHpE9m5JbpCwAAQCgifgLgb4yMAhDRhg8frk8//VSHDh1SixYtrDpSt9xyy0k9pxlVdfHFF1d5f15e3kk9PwAAQDARPwHwN5JRAHCC8vPztW3btirvb9WqFecUAACA+AlAFUhGAQAAAAAAIGCoGQUAAAAAAICAIRkFAAAAAACAgCEZBQAAAAAAgIAhGQUAAAAAAICAIRkFAAAAAACAgCEZBQAAAAAAgIAhGQUAAAAAAICAIRkFAAAAAAAABcr/A3OR7IQi3+cGAAAAAElFTkSuQmCC", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -51,37 +61,46 @@ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", - "fig, axs = plt.subplots()\n", - "\n", + "y_log = True\n", "x_name = \"log(K_s)\"\n", "y_name = \"log(h_l)\"\n", - "c_name = \"log(residual_1week)\"\n", - "Y_plot = np.power(10, Y[c_name])\n", - "# c_name = \"residual_1week\"\n", - "# Y_plot = np.log10(Y[c_name])\n", + "c_name = f\"log(residual_{t_residual:.0f})\"\n", + "Y_plot = [Y[c_name] if y_log is True else np.power(10, Y[c_name]), Y[\"tau_exp\"].values]\n", "\n", - "plt.sca(axs)\n", - "plt.scatter(X[x_name], X[y_name], c=Y_plot, cmap=\"viridis\", vmin=Y_plot.min(), vmax=Y_plot.max())\n", + "fig,axs = plt.subplots(1,2, figsize=(12,6))\n", + "plt.sca(axs[0])\n", + "plt.scatter(X[x_name], X[y_name], c=Y_plot[0], cmap=\"viridis\", vmin=Y_plot[0].min(), vmax=Y_plot[0].max())\n", "\n", - "plt.title(f\"{FOLDER} - residual after 1 week\")\n", + "plt.title(f\"{FOLDER} - {\"log\" if y_log else \"\"} residual after {t_residual:.0f}\")\n", "\n", "plt.xlabel(x_name)\n", "plt.ylabel(y_name)\n", + "plt.colorbar(cax=fig.add_axes([0.42, 0.15, 0.01, 0.7]))\n", + "\n", + "plt.sca(axs[1])\n", + "plt.scatter(X[x_name], X[y_name], c=Y_plot[1], cmap=\"viridis\", vmin=Y_plot[1].min(), vmax=Y_plot[1].max())\n", + "\n", + "plt.title(f\"{FOLDER} - tau exp [s]\")\n", "\n", - "plt.colorbar(cax=fig.add_axes([0.92, 0.15, 0.02, 0.7]))\n", + "plt.xlabel(x_name)\n", + "plt.ylabel(y_name)\n", + "\n", + "plt.colorbar(cax=fig.add_axes([0.92, 0.15, 0.01, 0.7]))\n", + "fig.tight_layout()\n", "plt.savefig(FOLDER / \"postprocessing\" / \"scatter.png\")\n", - "plt.show()" + "\n", + "# plt.show()" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 72, "id": "b3664fc7", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -91,20 +110,20 @@ } ], "source": [ - "PPs = pd.read_csv(FOLDER / \"PP_numbers.csv\")\n", + "PP_data = pd.read_csv(FOLDER / \"PP_numbers.csv\")\n", "\n", - "plt.hist(np.log10(PPs.values), bins=20, edgecolor='black', alpha=0.7)\n", + "plt.hist(np.log10(PP_data[\"PP_number\"].values), bins=20, edgecolor='black', alpha=0.7)\n", "plt.vlines(np.log10(0.1), ymin=0, ymax=plt.gca().get_ylim()[1], colors=\"red\", linestyles=\"dashed\", label=\"SPP limit\")\n", - "plt.title(f\"{FOLDER} - PP_number distribution, n={len(PPs)}\")\n", - "plt.xlabel(\"log(PP_number)\")\n", + "plt.title(f\"{FOLDER} - Pi number distribution, n={len(PP_data)}\")\n", + "plt.xlabel(\"log10(Pi)\")\n", "plt.ylabel(\"# samples\")\n", "plt.legend()\n", - "plt.savefig(FOLDER / \"postprocessing\" / \"PP_distrib.png\")" + "plt.savefig(FOLDER / \"postprocessing\" / \"PI_distrib.png\")" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 73, "id": "803b3138", "metadata": {}, "outputs": [ @@ -135,7 +154,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 74, "id": "cd9e3e57", "metadata": {}, "outputs": [ @@ -143,32 +162,32 @@ "name": "stdout", "output_type": "stream", "text": [ - "Monte Carlo samples: 5000\n", + "Monte Carlo samples: 50000\n", "\n", "==================================================\n", "PP STATISTICS\n", "==================================================\n", - " Min: 8.33e-03\n", - " Max: 6.93e+01\n", - " Mean: 2.58e+00\n", - " Std: 5.15e+00\n", - " Median: 8.04e-01\n", - " log10 range: [-2.08, 1.84]\n" + " Min: 6.05e-03\n", + " Max: 8.60e+01\n", + " Mean: 2.54e+00\n", + " Std: 4.89e+00\n", + " Median: 7.89e-01\n", + " log10 range: [-2.22, 1.93]\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 6, + "execution_count": 74, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -191,16 +210,17 @@ " samples[param] = np.random.uniform(min_val, max_val, n_samples)\n", " \n", " # Compute PP for each sample\n", - " pp_values = (\n", + " Pi_values = (\n", " R * \n", " (samples[\"temperature\"] + 273) * \n", " 10**samples[\"log(K_s)\"] * \n", " 10**samples[\"log(h_l)\"] * \n", - " samples[\"a\"] / \n", + " # 10**samples[\"log(a)\"] / \n", + " samples[\"a\"] /\n", " ((1 - 10**samples[\"log(eps_g)\"]) * samples[\"u_g0\"])\n", " )\n", " \n", - " return pp_values, samples\n", + " return Pi_values, samples\n", "\n", "\n", "parameters_range={\n", @@ -212,8 +232,20 @@ " \"u_g0\": (0.02, 0.1),\n", "}\n", "\n", + "# parameters_range={\n", + "# \"log(h_l)\": tuple(np.log10((1e-7, 1e-4))),\n", + "# \"log(eps_g)\": tuple(np.log10((1e-4, 2e-1))),\n", + "# \"log(a)\": tuple(np.log10((1e-2, 1e2))),\n", + "# \"temperature\": (450, 800),\n", + "# \"log(K_s)\": tuple(np.log10((1e-7, 1e-3))),\n", + "# \"u_g0\": (0.02, 0.4),\n", + "# \"E_l\": tuple(np.log10((1e-3, 1e0))),\n", + "# \"E_g\": tuple(np.log10((1e-4, 1e-1))),\n", + "# \"P_bottom\": (1, 10),\n", + "# }\n", + "\n", "# Run Monte Carlo\n", - "n_samples = 5000\n", + "n_samples = 50000\n", "pp_values, samples = monte_carlo_pp_sample(parameters_range, n_samples)\n", "\n", "# Statistics\n", @@ -235,9 +267,9 @@ "ax.hist(np.log10(pp_values), bins=20,edgecolor='black', alpha=0.7)\n", "# ax.hist(pp_values, bins=50, range=(0,10),edgecolor='black', alpha=0.7)\n", "\n", - "ax.set_xlabel(\"log10(PP)\")\n", + "ax.set_xlabel(\"log10(Pi)\")\n", "ax.set_ylabel(\"Frequency\")\n", - "ax.set_title(f\"{FOLDER} - Predicted PP Distribution\")\n", + "ax.set_title(f\"{FOLDER} - Predicted Pi Distribution\")\n", "ax.grid(alpha=0.3)\n", "ax.vlines(np.log10(0.1), ymin=0, ymax=plt.gca().get_ylim()[1], colors=\"red\", linestyles=\"dashed\", label=\"SPP limit\")\n", "# ax.vlines(0.1, ymin=0, ymax=plt.gca().get_ylim()[1], colors=\"red\", linestyles=\"dashed\", label=\"SPP limit\")\n", @@ -247,17 +279,17 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "02a6baa6", "metadata": {}, "outputs": [], "source": [ - "fig_MC.savefig(FOLDER / \"postprocessing\" / \"pp_monte_carlo.png\", dpi=150)" + "# fig_MC.savefig(FOLDER / \"postprocessing\" / \"PI_monte_carlo.png\", dpi=150)" ] }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 76, "id": "721935eb", "metadata": {}, "outputs": [ @@ -265,12 +297,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "Diagnostic for sample 8: PP=[0.09026422], residual=1.19e-17\n" + "Diagnostic for sample 5: PP=0.2382243535793523, residual=1.79e-07\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -280,14 +312,15 @@ } ], "source": [ + "\"\"\" sample inspection\"\"\"\n", "from sparging.model import SimulationResults\n", "from sparging.config import ureg\n", "import sparging.postprocess as pp\n", "\n", - "idxs = np.argwhere(PPs.values > 1)\n", + "idxs = np.argwhere(PP_data[\"PP_number\"].values > 1)\n", "# idx = idxs[0,0]\n", - "idx = 8\n", - "print(f\"Diagnostic for sample {idx}: PP={PPs.values[idx]}, residual={10**Y[\"log(residual_1week)\"].values[idx]:.2e}\")\n", + "idx = 5\n", + "print(f\"Diagnostic for sample {idx}: PP={PP_data['PP_number'].values[idx]}, residual={10**Y[f'log(residual_{t_residual:.0f})'].values[idx]:.2e}\")\n", "sim_result = SimulationResults.from_json(FOLDER/\"samples\"/f\"sample_{idx}.json\")\n", "\n", "fig, axs = plt.subplots(1,2, figsize=(14,5))\n", @@ -299,7 +332,6 @@ "labels = [l.get_label() for l in lns]\n", "axs[0].legend(lns, labels)\n", "axs[0].xaxis.set_units(ureg.day)\n", - "axs[0].set_xlim(0, 8*ureg.day)\n", "\n", "for t in [8, 9, 10, 11]*ureg.hour:\n", " idx_to_plot = pp.idx_from_t(sim_result.times, t)\n", @@ -309,7 +341,7 @@ "axs[1].set_ylim(0)\n", "axs[1].set_title(\"c_T2 (left) - y_T2 (right)\")\n", "axs[1].legend()\n", - "fig.suptitle(f\"{FOLDER} - sample {idx} - PP={PPs.values[idx,0]:.2f}, residual={10**Y['log(residual_1week)'].values[idx]:.2e}, h_l={10**X['log(h_l)'].values[idx]:.2e}, K_s={10**X['log(K_s)'].values[idx]:.2e}\")\n", + "fig.suptitle(f\"{FOLDER} - sample {idx} - PP={PP_data['PP_number'].values[idx]:.2f}, residual={10**Y[f'log(residual_{t_residual:.0f})'].values[idx]:.2e}, h_l={10**X['log(h_l)'].values[idx]:.2e}, K_s={10**X['log(K_s)'].values[idx]:.2e}\")\n", "fig.tight_layout()\n", "\n", "FOLDER_PP = FOLDER / \"postprocessing\"\n", @@ -319,32 +351,23 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 77, "id": "50166b05", "metadata": {}, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Fitting from t=8.000e+00 h to t=2.400e+01 h (indices 40 to 120)\n", - "std:[3.21389940e-06 3.69589746e-22]\n", - "Fitted parameters: n0 = 2.39e-12 molT2, tau = 14254.56 second\n" - ] - }, { "data": { "text/plain": [ - "Text(0.5, 0.98, 'sample 8, tau = 14254.56 second, n0=2.39e-12 molT2')" + "Text(0.5, 0.98, 'sample 5, tau = 5562.25 second, n0=2.41e-12 molT2')" ] }, - "execution_count": 30, + "execution_count": 77, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjwAAAHgCAYAAAChG7dTAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjgsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvwVt1zgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAeYBJREFUeJzt3Qd4VFXaB/B/ek8gJJAEkpDQey+hF6kKoigoCChFWdsqy6rYe1v1Q2UVFRAECyiKCihFei8B6aGFhJIQkkBCepn5nveEyaYTkpncKf/f89zMZObOnTNnbnnnVDu9Xq8HERERkRWz1zoBRERERKbGgIeIiIisHgMeIiIisnoMeIiIiMjqMeAhIiIiq8eAh4iIiKweAx4iIiKyegx4iIiIyOox4CEiIiKrx4DHSr366quws7Mz6jZPnz6NCRMmICQkBG5ubmjUqBFmzJiBpKSkKm0vIyNDpXPTpk2wFi+++CLuuOMO1K9fX+X/gw8+WKnXPfDAA2p9eW1RcXFxapsRERHw8/ODt7c3OnXqhC+//BL5+fnF1pV8lG2Utezatavc95bB1vv06aPWe/zxxyuV3n79+pX5PkOHDi1z/SNHjuDee++Fv78/XFxc0LBhQzz66KOwZZKHstSEH374Ae3bt4erqyuCgoLw1FNPIS0tzSjb/vnnn3H//fejcePG6rwg3+348eNx6tSpSr3++++/V/tfvXr11L4h6RsxYgR27NhRat3r16/jySefVMeXrNu0aVO8//77pY4FY/jmm29w3333oVmzZrC3t1efqywbNmzA5MmT0bx5c3h4eKi03Xnnndi/fz/Myblz59QxunDhQvV/eeeKkoucV06ePImZM2eqc0+tWrXg6+uLnj174qeffoIlcdQ6AWQZrly5gu7du6sL7htvvKGCngMHDuCVV17Bxo0b1cEtJ4VbDXhee+01db+mTvym9n//939o27YtRo4ciQULFlTqNatWrcKKFStU3pYk+Son3okTJ+Kll16Ck5MT/vjjD/zjH/9QQUxZ7/H222+jf//+xR5r3bp1ue//3//+VwWztyo8PBzffvttscfkZFiS7B+33347evfujblz56rALTY2Vu0/ZHryHUlAPXXqVLV/ysXr2WefxbFjx7B27dpqb/+9995DQEAAXnjhBbVPnD9/Xu2DHTt2VPtoq1atKny9/GCSi+c///lPtW9IkP/RRx+pIOivv/5C37591Xp5eXkYNGiQSr+cgyTY+fPPP/Hcc8/hwoUL+OSTT2BMixcvRnx8PLp27QqdTofc3Nwy1/v888/VZ5D0t2zZUp0rP/zwQ3W+XLNmDQYMGABztHPnzmL/S57KsSoBXFHymeQcJOcp+cHbpUsX9V0sXbpU/YiRc/jLL78MiyBzaZH1eeWVV2SONKNt76uvvlLbW79+fbHH3377bfV4ZGTkLW/zypUr6rWSVmuRn59feN/Dw0M/adKkCte/du2avn79+vqPPvpIHxoaqr/99tuLPZ+cnKzPyckp9brHHntM5V1sbGzhYxs3blSP/fjjj5VOb3R0tN7T01P/888/q9fKdiujb9+++latWt10vfT0dH1gYKD6XDqdrtLpsgWSh7KYUl5ensr/wYMHF3v822+/Vd/36tWrq/0ely9fLvXYxYsX9U5OTvopU6ZUaZtyXMjrJ0yYUPjY999/r9K8fPnyYus+/PDDent7e/2JEyf0pjqWZf+V47Oyn//69ev6evXq6QcOHKg3F9HR0Sr/vv766zKfl3OVnLPKO1eXdfxKvri7u+uzsrL0loBVWjch0frDDz+M4OBgVYQqRfLya2T9+vWF66xbt04VYTZo0EAVGUvR7iOPPILExMQyq5kOHTqkImMfHx9VNCjVQhIxR0VFqSoBLy8vVXwqRbVlVVksWbJEvUZ+VUkRsvwCquyvZYnKpXpEil49PT0xZMiQSr1WShaEpLmsX/TyuW+1eFXyUsgvBEPxqaEKSEocHnroITRp0gTu7u6qmFiKuQ8fPlxsO1I8K6+T7ZWVVzVdXXarpVz/+te/EBgYqIrpy1K7du3CvC9KfnUK+WVbHbJvy6/mu+66C6bw448/ql/s//73v6tUxVqZ40/I/wMHDlSlZLK/yDpSOlDSiRMnVPWLofpESiql9Cw7O7tY9Zscz5L3sl9LVdCiRYvK3L+kOkZKNqQaRt77tttuU8dxySpDOZZDQ0PV9qTkQ0rpqkOOEzl+5TgZPny4ui95JPtT0c8iJSyS/3IsFSXnH3nNL7/8guqqW7duqcckP+R8KKU9VSHnQMkrR8f/VUJs375d5fmwYcOKrSvVwFICU/KzSJXauHHjVPrku27RooUqzTT2sVzW55e8lZKRynx+w3cp+6acj+XcLOeEd999t/A77NWrl3pcSrVK7ouV3WerQ0reyjp+5TwkJfXJycmwBAx4bkKK8KS6QYrspPh33rx56qRWtN3KmTNnVBAhRZuyjqy7e/dutZOWVQw6ZswYtGvXDsuXL8e0adNUMfPTTz+NUaNGqaJ/OXClGFSKnaV+vKTnn38eZ8+eVWmR5dKlS6pKSB6riBQzy8leDsRly5apIlupE5eqBineroikTS4OckI9evSoqv/fsmWLOiglEJGTya2QA1qKo8WUKVNU8aosUm0j5DPVqVNHbV/WkxOVnPy6detW6oJSHXIxkmCzMouxyUVaiorlO3RwcLil10qxs+SHnABLeuyxx9RzcgGWE+i2bdvK3Ia87549ezBnzpwqpV/2ewnY5b2kPZdc+DMzM4utI/uIkDYWcjw4Ozurk7Lsh/IdG+P4kx8AgwcPVp9XTvKyb0u65LMXDXr+/vtvVRwvF5DXX39dBR3vvPOOChBycnLUOrJv9ejRQ+3jUkUix58cL3JRKvkDxHAsxsTEqHRJuyq5yMrxULRNiQT0cixLYCmfRaoj5biv7n4s5xapOpVA79dff1XtSORcIlVMRS+EQqpZi5IgWtqcGJ439rEg5yLJl5tVZxUleSafSX68SB5JemRfNpDvSIKQkj8AJJgR8kPSQM5n8l3L55PqpZUrV6pzq/ywMFSjm1JKSgoiIyMr/fnlc999990qjfJdSlA3a9YstX9NmjRJfbdyXZD2RLIvFm0fdKv7rDFJFZj8CCkr6DNLWhcxmTsp7n/qqacqvb4U++Xm5upjYmJU8eGvv/5aqprpww8/LPaa9u3bq8elWsFAtuHv76+/++67S1VZdOzYsVjx4rlz51Tx79SpU0u9l4FUfTg6OuqfeOKJUkWvAQEB+jFjxtz0s126dEkfERGhtmtY7r333ioXZ95KlZYUzUvVTpMmTfRPP/104eNSPCvbkOLaogx5JbcVMaxXmaXke9xMRVVaku8NGzbUz5o1q/Cxsqq0yrJmzRpVhF80H4RUK/7zn//U//LLL/otW7boFyxYoG/RooXewcFB/+effxZb98KFC3ofHx/9F198UfjYrVRpvfDCC/rPPvtMv2HDBv2qVav0jz/+uNq/+vTpU6wqYMiQIWq7tWrV0j/zzDNq/blz5+rr1Kmjb9y4saryqs7xJ6/39fXVjxgxotjjkoZ27drpu3btWvjYgAEDVDoSEhLK3d59992nd3FxKVZVKIYNG6aK7qWqpeh+M3z48GLrLVu2TD2+c+dO9f/Vq1f1rq6u+rvuuqvYetu3b1frVbVKS/Yreb28X1GSnmbNmhX+/9Zbb6n14uLiSm1DqrmaNm1q9GNBzl39+vXTe3t7l8rHiki6DduXarht27YVe3727Nnqua1btxZ7/KWXXlKPF622k/2uQYMG+pSUlGLryn4q34dUFd+Kiqq0yjJ+/Hh1POzbt6/S32XRqjrD+b9kc4GkpCR1PM+YMeOW99noalRpVdTM4eOPP9ZbCgY8N2E4Sb7xxhvqJFZWewqpw33kkUfUASYXoqInhnfffbdUEBIVFVXs9ffff7/ezs5On5mZWexxCS46depU6oT0wQcflEqDnDgbNWpU6r1K7px79+5VB1PRZezYsfq6detWmA9ygujSpYtqtyH1/3JBlQueoX2AbMeYAY9sT07WcsGWYK5ong4dOtRoAU9qaqrKk8os2dnZRgt4JLCQ4K3od16ZgGf//v0qUOnRo0elAk254Mp+2bZt22KP33HHHSo4KRo430rAUxbZL0sG7oMGDVKPyfFR1IoVK9Tjsl9W5/hbt26d2s5PP/1Uar9+9tln1XGVlpamAiO5UEh7j4rIcVAyiBFLly5V7/PHH38U278keCtK2pHI4z/88IP6X9rIGNJXknzf1Ql4yjpnPPfcc+qCXjLgiY+PL7UNOW6LBkfGOBZkf5o4caLKa/mOb8WRI0f0u3fvVm3QpO2Ll5dXseNXzhcS3Mo5YdeuXWrf/u6779TxUPS8IHli+HFXcp8wfB+GtkvyQ6ro80WD9aoGPC+++KJ6j08//bRa36Wc/+X8WpI8Nnr06FveZ6ONGPBI/jk7O+vvuecei2qbx15alWjz8uabb6oia6lukbpWae8gRYXShkbqjqU4XYrn5fk2bdqoulZ5XFrplyziF1LcXpQU80u7g5LtYOTx1NTUUq+X9y3rMSmyL8/ly5fVrRTzVqW+WorJDx48qIqppTpKSFWYFItL9Zv0BJGiV2ORNkpSjSVVAdJGSapBJI3S06SsPK0q+T6lvrsyirYnqA6pRvrss89U0XNWVpZahOwzUl1w7do11TbLUFRvIG2tpFpE2jWtXr261PNlkTZW0sZBekdJvsl2pSupVBNKVZcUvRcl1Qby/rIPl9V2qCLSE0i6rkqVkaFNkFRLCqleKkr+lzYBUuxfnePPsF/fc8895W5D2hfIviNVJtKupCJSVWbYv0u2STE8X5Th8xkYvhPDPmpYv7xjtjrKOmfI+xv2p6Lpk3RIu6WS+VL0XFTdY0FiZjk+pYpRqhalTcmtMFT/SLsQqULv0KGD6vlkOK9JOxLZb+U8I+dWw+eTHl1SLS7t/AyfVY6jTz/9VC1lMbSvlKpYOacZSK9TaWtZVVJdJvvrW2+9VekhHkR55/+S1wrD40W/41vdZ6tLep5J9Zuci+S8b+zhT0yJAc9NyEE2e/ZstUhX2t9++011g0xISFAHn9QRywEpjWeLXvCr0s23sqSrZFmPlTz5lvwcQi520njyVkmwIyeUkgeWIYAq2hbAGOSkKY1Jpd1RyRNV0a7PhpNE0YaahvUqY/PmzaW6cJcnOjq63LE4boW0L5CLQ1kNhaWRowR30hZDxkopGuxI2xX57qQtS8nG4xUpKLwpGHfD8F3JBcFw0Sjqq6++Uou0F5CLTlUUDZ6l7YiMAVOZdaty/Bn2a7mwlfV5hFzoJdiRdlI3a+Qtx5A08i3J0N7I8H6VZTgmyztmjbE/VUR+gAlp7C/tOgzk+zc04DbGsWAIdr7++mvMnz9fBb/VIQGVNO6W9lglzzdy/Eg7n/T0dBX8G9qzSDd2IcePfNfS/qtoG6CiwsLC1O3vv/9e7NxhCBKqGuxIsCSLtL2pKcbeZ28W7Mh5QX6EShtUCb4sCQOeWyCNdiVql4aQ0mOg6EWk5K/tL774AqYiPUOkBMTw3vILRQbpkgChPPKLWk4i0tB09OjRt/yeciKQz33x4sXCX1JFx3K42S/nspT8NVyUfLaSeSrjQMj7Sy84A8NJVxosSoM+A7kwVoYMpLV3795KrVudk2FR0hNPGvuVJIOcyYlYGtIW/YwSbEqwI3ksPQLlhF5ZV69eVQ02DYPOCWnMWNa4R3Kxk5OZ/KquaNye8hh6hRQNPCSok8bM0kC4aIAn/8tFsrwgpbLHn/TGkgBYLoI3+0UtJ2npNSa/vsu7CEgDYAn25GJR9PuWxuXyK/xW0itkfcl3+SVc9LiT41WOW1MHPNLIX36kyA+ysWPHFj4uP3yk44H8Uq/usSDfozTClmBHznsle4RVhZRgSElh0eOgKEO+yXtLo2RJj/Q8E/I9yb4sPxIk4K7oomwICKtLxrCRQEcGCZVSoppk7H22PPJDS84P0vlAGt9XpoTZ3DDgqYAU98uBI10bpepGukrKCUF+WRpOFPK4FIvKr045+KQIUn41yIXJVOTXrVw85CQjaZQDTE6q0qq/PHKCkJ4pcvGRHhRy0ZULp1QJSBWLVGFU1HtBfinJSVuKMeWzShdYKSmQ4lv5BS0jqxbtsiv5drPiYclPKbGQXgly0EreyYVI0irVMHKSlvyVk5b8ivvPf/5TKrCSX3wS6EhVivxqlc8kB395PZPKSkPnzp1hLPIrWbpSCylVkIuaYTRSueBKjwapyiirOkO+Q/m1VjQYkR4YEuwIuVBLL6CiI9jKvmfo3i/7qQQF8nkkH2U9uRjId2wYXVVI/pZ3oZVgtmQwJIGypN3Q42nr1q0qLbIPykBzcnGSAEZ6KUn1pvRSMpDvT/YdqcKTvJbeJzJwnFwYpMpCeixW5/iTahgp3ZHSVamikaot6TEi34GUvMqt9J4UUvUhJ2sJAmQfloup5I0Ex3Khlu3LPisBoryv9AyTfVL2ewm2pRrtVkrWhOyPsm/KcSIlIHJRllI8OS7K2gck72UfMpTKVZeUdEi6pbRDhsqQEh3ZL5555hl1LBcdGbuqx4L0fJJSHelJJAFE0VG95aIo37OBHOfy+Yr29JIeRtLbTHp6Sv5K6Y18Z/LjrGRXczl/yXtIECclfjLwpvSIle9HqmsNPv74Y/VdS7W79PiS/V16pErJu5yfSw6uVxYJog29V6U0TrpfG45lKS0zlJjJMSb7iuSl9LIqOaq5sQKO8hh7ny2LnE8l2JF9Vkqv5EdYUZIXZQ2cana0bkRkzqRR6PTp01WDT+lx4Obmphr5SSPbor1Ljh07phpnSiO72rVrq55L0mK+ZINcQ0NiaXxXmcZiJQd3MzSUXLx4sf7JJ59UrfildX7v3r1L9QYob+BBaUjYv39/9XnktdIQTxqelRxQsCzSW0B6m0gjWHlteHi46hlWsnfA77//XmaDzrLI+3bo0EFtT15jaOQrDRJl0DJpkCc9DXr16qV6Z5Q1WNvJkydVA0z5TJIn0lhReg5VptGysUnayuvZcrO0lNVo2dAou7ylaAPEd955R/X4k0ac0mhU8kK+rz179lQq7eU1Wi7Zm+jUqVOqkaQMmCjfmzSSbdOmjWogW1ZDamkYKo33pVeWNECXRpf/+Mc/1HdsjONPbN68WeWdNGqV95C0yf8lB2GUY1WOT+klJo0uQ0JC9A8++GCxdB8+fFj1+pJ8lHWkt1fJhp7lDfJYVsNQadQp301wcLDannweOUbK2pelk4L0mryZ8s4Z5R330rhX3lfeX7Yv5w/pKWgMst+Wt3+WbOhrOD6K+te//qXyWPJbGhtL+mS/lZ5sJcl+I9+ZfA4/Pz/VePfQoUNlpku+i8mTJ6t9QfYJOR6ksf+bb75Zqc9lyMuylqLn9YqO+cpcYit7/q/oPFGZfTa6Go2WK8oLLc6zVWUnf7QOuqhyDCUnUixfUSNNrcmvR6l2k1+StzogIZGtkhII+XUu7ZXKa3tCRFXHgQfJ6KR9ivSoYbBDVHkySKNUKUpVNREZH9vwkNFVtuEjEf2PtP+QhYhMg1VaREREZPVYpUVERERWjwEPERERWT0GPERERGT1GPAQERGR1WPAQ0RERFaPAQ8RERFZPQY8REREZPUY8BAREZHVY8BDREREVo8BDxEREVk9BjxERERk9RjwEBERkdVjwENERERWjwEPERERWT0GPERERGT1GPAQERGR1WPAQ0RERFaPAQ8RERFZPZsOeLZs2YIRI0YgKCgIdnZ2WLFihabvl5ubi2effRZt2rSBh4eHWm/ixIm4dOmSSdNFRERk7Ww64ElPT0e7du0wZ84cs3i/jIwMREZG4qWXXlK3P//8M06ePImRI0fWSPqIiIislZ1er9drnQhzICUuv/zyC0aNGlX4WE5ODl588UV8++23uHbtGlq3bo333nsP/fr1M8n7lWXv3r3o2rUrYmJiEBISUu33JSIiskWOWifAnD300EM4d+4cfvjhB1W9JAHK0KFDcfjwYTRp0qRG0pCSkqKCo1q1atXI+xEREVkjm67SqsiZM2fw/fff48cff0Tv3r3RqFEjzJw5E7169cLXX39dI2nIysrCc889h3HjxsHb27tG3pOIiMgaMeAph7Shkdq+pk2bwtPTs3DZvHmzCoaElP5I6UtFy+OPP16lL0YaMN93333Q6XT47LPPqv4NExEREau0yiOBhoODA/bv369ui5LAR9SvXx/Hjx+vcDeqXbt2lYKdMWPGIDo6Ghs2bGDpDhERUTWxDU85OnTogPz8fCQkJKgqrbI4OTmhefPmMCZDsHPq1Cls3LgRderUMer2iYiIbJFNBzxpaWk4ffp04f9SonLw4EH4+vqqqqzx48ercXA+/PBDFQAlJiaqEhcZJ2f48OFGfT/pgZWXl4d77rlHVaetXLlSBVzx8fFqXVnH2dnZSJ+ciIjItth0t/RNmzahf//+pR6fNGkSFi5cqEpb3nzzTXzzzTe4ePGiKm2JiIjAa6+9poIeY7+ftAkKCwsr87VS2mOM7vBERES2yKYDHiIiIrINmvbSeuedd9ClSxd4eXmhbt26ahC+qKiom5aSlNUb6sSJEzWWbiIiIrIsmrbhkS7ejz32mAp6pP3KCy+8gMGDB+PYsWNqLqmKSGBUdGwaf3//Sve+krmpJMiSQImIiIjMn1RIXb9+XQ0EbG9vb9lVWleuXFElPRII9enTp8J2MFevXq3S6MMXLlxAcHCwEVJLRERENe38+fNo0KCBZffSkmkUDD2SbkZ6TclIxC1btlTzXZXVGFhkZ2erxcAQ30kPKSnlMSZp5CyNiyUt0mWdagbzXRvMd+a7LeH+rn2+yzVfOvZU9dptNiU8kow777xTldxs3bq1wqqsLVu2oFOnTiqQWbx4MebOnatKfsoqFXr11VdVr6qSvvvuO7i7uxv9cxAREZHxZWRkqKmWpHCkKtMtmU3AI215Vq1ahW3btt1yUdWIESNUe5zffvvtpiU8qampqkpLxtQx9vxUEomuW7cOgwYNYglPDWK+a4P5zny3Jdzftc/3zMxM+Pn5VTngMYsqrSeeeEIFK1JyU5V6ue7du2PJkiVlPufi4qKWkqTKyVTVTqbcNjHfzQ33d+a7LeH+rl2+S+em6tA04JHCJQl2fvnlF1UlVd6gezdz4MABBAYGGj19REREZB0cta7GkrY0v/76q2qEZJhGwcfHB25ubur+rFmz1CjHMtqxmD17Nho2bIhWrVohJydHlewsX75cLUREVDUylY1UH1DZJG8cHR1Vw1nJKzINmUKpKl3OzT7g+fzzz9VtySkTvv76azz44IPqflxcHGJjYwufkyBn5syZKgiSoEgCH2n7U5W5rYiIbJ2UtMuPzWvXrmmdFLPPp4CAANUlmmO4mY4EO1LbY4q5IzWv0roZmWOqqGeeeUYtRERUfYZgR8ZAk56rvJiXP2itTADt6elpshIIW6e7MTCwFHTIhNrG3hfNotEyERHVPKmaMQQ7MjkyVXwxlhoGV1dXBjwmJLMmSNAjDZSN3fmHYSoRkY0ytNnhmGRkLgxVWaZoJ8WAh4jIxrEai2xhX2TAQ0RERFaPAQ8REdENMuyJDH9C1ocBDxERWVy1R0WLDGty7tw5TJkyRXVxliFMGjVqhFdeeUU1PK7I3r178fDDD8PcyPAtTz31lNbJsGjspUVk5nQ6PfL1ejg58PcJkZBuywZLly7Fyy+/rCaWNpAAZ+fOnapn1RdffIHGjRvjyJEjmDZtGtLT0/HBBx9U2EvImuXk5JhkjBtLwDMokZl75qe/MfzVRYiNjdE6KURmQQYANCwyMr+U6pR8bOjQoWoQ28GDByM8PBwjR45Ug9b+/PPPt1SlJdueN28e7r77bgQFBaFZs2aFE1VLQCXzP86dO7fYNiIjI9Xrzp49q/6XyS6l1Ei6/8uklwMGDMDff/9duP6rr76K9u3bY/Hixer9Jf333Xcfrl+/rp6XEqvNmzfj448/LizFkhIsIY937dpVzRkpUyw999xzxeackpKhxx9/HDNmzFATb8oknJMnT8Ydd9xRLM3yGsm7BQsWwFox4CEyY6cTrqPH4RewzuEpXNpSfBBOIlMNCJuRk6fJUpnBaKtDAg9fX99bft1rr72Ge++9F9u2bcOwYcMwfvx4JCcnq/F4JDD59ttvi60vUyZFRESoQEs+0+23364GeFy9ejX279+Pjh07YuDAgWobBmfOnMGKFSuwcuVKtUgg8+6776rnJNCR7UkJlZRuyRIcHKxmHJBZBrp06aICKJm9YP78+XjzzTeLpWfRokVqWozt27erEq+pU6fizz//LFZSJmmTgRXHjBkDa8UqLSIzNn/bOfjoGgAOgHPcPq2TQzYgMzcfLV9eo8l7H3t9CNydTXNZkoDi008/xYcffnjLr5USlvvvvx+pqal46623MGfOHOzZs0eVIknw89FHHyEmJgahoaGq1OeHH37A888/r167ceNGHD58GAkJCaoURkiVmgQ3P/30U2F7IXmdzCwg80qKCRMm4K+//lLvJyU+Ug0l4yVJKYzBZ599pgIfSY+U+jRv3lwN2vfss8+qaj7DiNBSpff+++8X+0xSUiUlSoaZC6Q0TII6GUnaWrGEh8hMJaVl4+fIC9iva6r+D0k/BL1Op3WyiCyOBAESnMgFXUo3blXbtm0L73t4eKigRAIY0aFDBxVofP/99+p/KZmR5wwlJVKiIyUnMpK1BBOGJTo6WgVhBlKVZQh2hFRPGd6jPMePH1clP0XHrunZs6d6vwsXLhQ+1rlz51KvlXyQIEfI+8iclFLVZc1YwkNkppbsikV2ng45Ae2Qe9UBfnbXcCn2FIIaNtM6aWTF3JwcVEmLVu9timCnf//+KjD48ssvq7SNklMcSIAhJTIGUsoj1VjSfkZuhwwZotrLCFlPgpdNmzaV2m6tWrUq/R5lkeqykgP1GaoFiz4uQVpJEydOVOmVxt2ySMDVu3dvWDMGPERmKCs3H4t3FTRKnNK/JaJ/b4SmeSdx6fAmBjxkUnKhNFW1Uk2TNi4S7HTq1EmVZphq0s9x48bhxRdfVKU5Uk0lbWkMpL2OtN+RNjQSVFSVVGmVnG6hZcuWWL58ebHAZ8eOHaqkqH79+hVur06dOhg1apTKFwl4HnroIVg7VmkRmaFfD15EYloO6tdyw/DWAUj27aAez4vZpXXSiCyClOxIDyVp4yJtZq5cuaICD1mMTcb66dGjhxr3R3o73XnnnYXP3Xbbbap0SYKLNWvWqN5VEpRIgLRvX+Xb5UmwtHv3bvX6xMREVfrz6KOP4vz583jiiSdw4sQJ/Prrr2qsIemRVZngburUqapBs1SNTZo0CdaOAQ+RmZFfa/O2Rqv7D/ZoCEcHeziHRaj/61z9X1dWIirf2rVrcfr0aWzYsEF1HZdqJcNiClKtJT2lpPu6jANkICUv0gOqT58+qo1M06ZNVc8uCVzq1atX6e1Ll3oHBwdVqiNjBcXGxqpSHNm2NKBu164dpk+froIuCaYq47bbblP5IVVw0uXe2tnpTd0P0MxIK3tp8S7dE2U8BGPPPCw7n3QTNPa09mQ7+b4xKgEPfb0Xni6O2DFrALxdnXDlUgx+/mwW9umb46OXZsHLVfvPaW35bimMme9ZWVmq8ayUULi6uhotjdZISlTk+iHXDVNVjdW0jIwMFejI2DsSqJmDkvtk0f09MzOzWtdv6/jWiKzI/BulO2M6B6tgR/gHhWKx11Ssy++Ev8+naJxCIrL04O3SpUt46aWXVAAhgzLaAgY8RGbk2KVUbDudCHs74KGexRs4dgqtrW73x1zVKHVEZA1ib1SHLVu2TJXuSINqW2Abn5LIQszfVlC6M6xNIIJ93Ys917WBK5IOHYbz8UPAbbM0SiERWbqGDRuafFRrc8SAh8hMXE7Nwm9/X1T3p/YKK/V8N88rGO/8DlISPaDLfwb2DsYfs4SIyFqxSovITHyz8xxy8/XoHFobHUIKqq+KatiyGzL1zvCxS0fMyUOapJGIyFIx4CEyAzJxooysLKb2Ll26IxydXRDt0lzdv3x0Y42mj4jI0jHgITIDy/dfQEpmLkJ83TGo5f8mBywptW4ndWt/fncNpo6IyPIx4CHSWL5OX9hYeXLPhnCQLlrlcG/US93WTz1YY+kjIrIGDHiINPbX8cs4l5QBb1dH3Ns5uMJ1Qzv0h05vh/r6eCTFFVSBERHRzTHgIdKYYRqJcd1C4eFSccdJn1p1cNaxoI1P7MG/aiR9RJZG5tB66qmnauz9Fi5cWGzmc3O20ILSamwMeIg09Pf5a9hzLhmO9nZq3qzK2Bz+LwzLfge/5xa05yGyRQ8++KCap6rkIvNn/fzzz3jjjTeKjTsze/bsYq+35Qu/reI4PEQamnej7c6IdkEI8KncXEZ1Ww/A8cMH4BDDKSbItg0dOhRff/11scdkYk2ZZJOoJJbwEGnk4rVMrD4cp+5PKWOgwfJ0DfMtnIbielauydJHZO5cXFwQEBBQbJFgp2iVltyPiYnB008/XVgKtGnTJjz00ENqEkrDY6+++qpaPycnB88884yaesHDwwPdunVT65csHQoJCYG7uzvuuusuJCUl3TStFy9exNixY1G7dm3UqVMHd955p5oxXZw4cUJt67vvvitcX0qpZPLMw4cPF5ZojRo1Cq+99hrq1q2rJs985JFHVHorUpm0/v777+jUqZN6v/DwcPUeeXl5hc9fu3YNDz/8sJrdXdZp3bo1Vq5cqZ6T7d1///1qRnp5jzZt2uD7778vfO0333yjPm92dnax9xw9ejQmTpyImsSAh0gjC7dHqx5aEeF10Lq+T6VfV8/bFRO9D+A/jp/j1L71Jk0j2bCc9PKX3KxbWDezcuuaiAQOcjF+/fXXERcXp5YePXqoKi4JGgyPzZw5U60vgdD27dvxww8/4NChQ7j33ntVSdKpU6fU87t378bkyZPx6KOP4uDBg+jfvz/efPPNm85KLut5enpiy5Yt2LZtm7ov25WApXnz5vjggw/UNiU4k4k9p02bhnfffVcFEAZ//fUXjh8/jo0bN6qg4pdfflHBSXkqk9Y1a9bggQcewJNPPoljx47hiy++UEHSW2+9VTjR6LBhw7Bjxw4sWbJErSPpMpSiyezmEixJAHTkyBEVGE2YMEG9t5D8y8/Px2+//Vb4nomJiWp9yeuaxCotIg1IycwPe86r+9P6VL50x2Ck2yF0ztmKHcebAL2GmSCFZPPeDio/C5oMBsb/+L///9MYyM0oe93QXsBDq/73/+w2QEYZJSKv3noVrVw0JXAwkAvzjz8WSRcAX19fdXH28vJSJUAGMku4lOwUfezMmTMqkLhw4QKCggo+vwRCf/75pwoCnn32WXzyyScYMmQInnvuOfV806ZNVTAg65RHgid7e3vMmzdPvaeQqjhpQySlR4MHD1ZByerVq1Ww4OzsrIKIf/7zn8W2I4/LZJ9SktKqVSsVxP373/9W7ZVk+yV9/PHHN03rW2+9pZ6fNGmS+l9KeGR7Usr1yiuvYP369dizZ48KtOT1hnUMpCTMECyKJ554Qm1fvgcpHXNzc8O4cePU55XgR3z77bcqCJXSt5rEgIdIA0v3nsf17Dw08vdAv6Z1b/n1+pBuwOE18L6y3yTpI7IEUmLx+eefF/4vVVDVERkZqSbVNFzYDaQ6RgInQ/WTVA0VFRERUWHAs3//ftWYWoKuoqR0RIIsAwlm5L0leJHSEkNwZNCuXTsV7BR937S0NJw/fx6hoaGl3leClJuldf/+/di7d29hiY6QEhlJm5RMScmQBCcl86ToulLis3TpUlVtJ3klS9HvQkqrunTpop6XAEmCH0Oj85rEgIeohuXl6/D19oK6+ym9wmFfwUCD5Qlo3R84/DoaZR9HdnYWXFwq1+CZqNKev1T+c3YlGgX/+3QF65YoeXiqoE2KMchFtXHjxkbbnlTfSGmQBAElGz4bAo2qzDIu25USGynZKEkaWRv8/fffSE9PVwFPfHx8YSnTzZQXOFQmrTqdTlWL3X333aWek/Y6UkJTkQ8//BD/93//p6oIpfpNvhNpP1W0bVGHDh1UsCbteaTESdolSbuhmsaAh6iG/Xk0XjVY9vVwxt0d61dpGw2atMc1eKGW3XUcO7QDLbsMMHo6ycY5e2i/rpFIVZCURNzsMbkwy2MJCQno3bt3qcAgNTUVLVq0wK5du4o9V/L/kjp27KhKQAyNjcuSnJysSj1eeOEFFeyMHz9elTgVDTgkIMrMzCx8TN5XqvSkBKYsLVu2vGlaO3bsiKioqHIDx7Zt26oqvpMnT5ZZyrN161bVAFvaARnySdo7ST4VNXXqVBUYSSnPbbfdhuDgigdZNQU2WiaqQfKL66sbAw0+0D0Urk5V6z5rZ2+PGI+CxoxXjxfvQUJExck4PNJYWC620mDW8JhUB0lDYHlMqm/kgi6BhvQeksbO0dHRqrrnvffeU+1rirZRef/991UQMGfOnAqrs4Rs08/PTwUGEiDIdjdv3qza6EgwIaZPn66CgBdffBEfffSROlcUbRsjpNRkypQpquHwH3/8odrYPP7442W23xHSEPlmaX355ZdVyYv0Ujt69KiqBpPgTNIh+vbtiz59+qheVevWrVNpl/c2bEcCJXlc2gbJa6XnmARsZeWB5P9XX32lGlJrgQEPUQ3aH3NVDTbo7GiPCd1L17nfiqygCHXrEceJRIkqIo17pQt4o0aNCquQpKeWBBnSVVwek6BASPsSCXj+9a9/oVmzZhg5cqTqcWQokejevbtqfPzpp5+iffv2WLt2bWFwUB6pDpOAS7qHS9WRlH7IRV9Ka6TERwIOCagWL14MR0dHtb5Uf8n7GAItMXDgQDRp0kQFIGPGjMGIESMKu9OXpTJpHTJkiGr8LUGLtLOR10jAVbRN0PLly9Vz0v1cSo2kQbOhdOyll15SpUSyHWmELI3Apft8SfI5JWiSEqmynq8JdvqqVEhaMCmSlNb5Mv5CeUWLVZWbm6t2zuHDh8PJycmo2ybryPdHFu/DmqOXMbZzMN67p221tnX64BaE/zISkWiODq/srHDSUVvPd2tizHyXhqnyiz0sLEy116DyGaq05LpRXomKKUl1l4yHs2LFCliqQYMGqWBPerpVdp8sur9LgFid6zfb8BDVkJikdKw9dlndn9L71ruilxTWugd6/zIfF7NdsTIu9ZbG8iEiqinSPklKlzZs2KCq1bTCgIeohizYFg0pT+3b1B9N6xXvnloVDo6OaBwajIsnr2DvuWQGPERkljp27IirV6+qtlBSTagVBjxENSAlIxfL9hU0TpzW+3+DdlWXTDOx+eQV7Iu+god6Vr/UiIjMkwx8aKnO3ZhCQ2sMeIhqwLd7YpCZm4/mAV7o2biO0bbbs14uOju/joanE6DXnYadPSdNJCIqC3tpEZlYTp4Oi3YYBhoMM+rooi0ahaGNXTTqIRmxJyKNtl2yLTbWd4VsdF9kwENkYisPXcLl1Gz4e7lgZPvKjZxaWTLC8hnXlup+/OG/jLptsn6GXl4yBg2ROTCM0FxypGtjYJUWkYl/rcy7MdDggz0awsXR+AdxWkA3IOYAHM/vNPq2ybrJRUUmsJSRhYWM/1LT8xtZUrd0uRhLt2ktuqXbSh5fuXJF7YcyHpGxMeAhMqGdZ5JwLC4Vrk72GNc1xCTvUbtlfyBmLkLTDkKv06lRmIkqyzBbuCHoofJ/vBimdWBQaDoSTMoAjabIYwY8RCY0b1tB6c69nYJR28PZJO8R3q4Pslc7wc/uGqJPHkJY8/YmeR+yTnJhCQwMVPM8ySBvVDbJGxktWUY55kCbpiNznJmqBI0BD5GJnE5Iw4YTCZAfKpN7ma7LuLOrO467tECLnEOIP7SeAQ9VuXrLFO0mrIXkTV5enhr9lwGPZWLZN5GJzL9RunNbi3oI8zPtDNHJDQZgXX5H7L/mbtL3ISKyVCzhITKBpLRs/BxZMNDgVBOW7hi49v0nxh/rCt/LznhUp4d9Dc+rRURk7ljCQ2QCS3bFIjtPh7YNfNRoyKbWpn4tuDk5IDk9B6cS0kz+fkREloYBD5GRZeXmY/Eu0ww0WB5nR3t0blgb9XEFxw7vM/n7ERFZGgY8REb268GLSEzLQZCPK4a3Cayx/H3YeS22u/4ToQc/qrH3JCKyFAx4iEw10GDPhnByqLlDzL95hLoNT4+ELj+/xt6XiMgSMOAhMiKZuVza0Hg4O+A+Ew00WJ5G7XojXe+KWkhDzPG9NfreRETmjgEPkQm6oo/tEgJv14J5imqKk7MLTru1UfcTDq2t0fcmIjJ3DHiIjOR4XCq2nkqE9Ah/qGdDTfI1PaiHunW5sEOT9yciMlcMeIiMXLozrHUggn21GQDQv+0gddso4yDycgtmHSYiIgY8REaRkJqlemeJqb1NP9BgecJbRyAVHvBCJs4cYikPEZEBR1omMoJvdsYgN1+PTqG10SGktmZ56uDoiN/9HsbWS3p0SPJBM81SQkRkXjSt0nrnnXfQpUsXeHl5qZl6R40ahaioqJu+bvPmzejUqZOaxC08PBxz586tkfQSlSUjJw9Ldseo+9M0LN0x0HV+CH/qumLTuWytk0JEZDY0DXgkcHnsscewa9curFu3Ts1EO3jwYKSnp5f7mujoaAwfPhy9e/fGgQMH8Pzzz+PJJ5/E8uXLazTtRAbL91/AtYxchPi6Y1DLAM0zpldjP3W7P+YqMnM4Hg8RkeZVWn/++Wex/7/++mtV0rN//3706dOnzNdIaU5ISAhmz56t/m/RogX27duHDz74AKNHj66RdBMZ6HT6wsbKk3s2hIMZTNrZsI47BnhdQJuM3Ti+3wUdIwZonSQiIs2ZVRuelJQUdevrW/5kizt37lSlQEUNGTIE8+fPR25uLpycio99kp2drRaD1NRUdSvrymJMhu0Ze7tkvvm+/ngCziVlwNvVEaPaBZjNd/8P97/QJXcNtv/tjtzOvU3yHtzftcF8Z77b6v6eW83zq6M5Dck/Y8YM9OrVC61bty53vfj4eNSrV6/YY/K/VIclJiYiMDCwVDuh1157rdR21q5dC3d303Qdluo5qnla5PsnRxwA2KGLbw42/2U+g/3l2oehi/x4iN+O1atXm/S9uL9rg/nOfLe1/T0jI8M6Ap7HH38chw4dwrZt2266bsnZpyVYKutxMWvWLBVIFS3hCQ4OVqVE3t7eMCaJPuVLGTRoUKmSJjIdrfL98MUUnNm5G472dnh1fD8EeLvCXCTFtwbmz0UzfTT8undCLd/iPxKMgfu7NpjvzHdb3d8zMzMtP+B54okn8Ntvv2HLli1o0KBBhesGBASoUp6iEhIS4OjoiDp16pRa38XFRS0lyYXRVBdHU26bzCffv955Xt2ObBeE4DpeMCcBwY1wzj4EDXWxOH9gPfyHPmiy9+L+rg3mO/Pd1vb3vLw8y+2lJSUzUrLz888/Y8OGDQgLu3mX3oiIiFJFuVI91blzZwYZVGMuXsvE6sNx6v4UM+iKXpZ4v+7qNvfURq2TQkSkOU0DHumSvmTJEnz33XdqLB4puZGlaLGVVElNnDix8P/p06cjJiZGVVMdP34cCxYsUA2WZ86cqdGnIFu0cHs08nV6RITXQasgH5gj12YD1W395N1aJ4WIyLYDns8//1z1zOrXr59qbGxYli5dWrhOXFwcYmNjC/+XUiBphLlp0ya0b98eb7zxBj755BN2Sacacz0rFz/sKajOmtbHPEt3ROMuQ5Cnt4e3LgUXLxakl4jIVmnahsfQ2LgiCxcuLPVY3759ERkZaaJUEVVs2b4LuJ6dh0b+HujXtK7ZZpend2087fdf/HbRE29d1OO++lqniIhIO5wtnegW5OXrsODGQINTeoXD3gwGGqxIwxZdkA8HbDl1ReukEBFpigEP0S1Yc/SyarDs6+GMuzuaf5FJn6YF00xsO3UFeXmcZoKIbBcDHqJbqIL9autZdf+B7qFwdZJBB81b2wa18IrrUqzWP4bTB9hbi4hsFwMeokqKjL2Kg+evwdnRHhO6h1pEvsncXu08r6GBXSKuHio+dx0RkS1hwENUSV9tKWi7c1f7+vD3Kj2YpbnKD+uvbmvHbdU6KUREmmHAQ1QJMUnpWHMs3qwHGixPSLcR6rZJbhRSkhO0Tg4RkSYY8BBVwtfbz0FGUejb1B9N65nXNBI3U69BY8TYB8PBTo/Tu1dpnRwiIk0w4CG6iZSMXCzbVzBw31QLK90xiPfvoW7zTq7XOilERJpgwEN0E9/tiUVGTj6aB3ihV+OCbt6WxqPlYHUbenUX9Dqd1skhIqpxDHiIKpCTp8PCHYaBBsNgZ2feAw1WNM3ESX0w/szriFOXErVODhFRjWPAQ1SBVYcv4XJqtuqVNbJ9kMXmlau7F94KXYBX8x7E5rNpWieHiKjGMeAhqmCgwXlbC0p3JkWEwsXR/AcarEifpv7qltNMEJEtYsBDVI6dZ5Nw9FIqXJ3sMb6bZQw0WJG+Tf3ghDzg3FZkpqVqnRwiohrFgIeoHPNvlO7c06kBans4W3w+NfL3xGq3l7HY4Q2c2r1S6+QQEdUoBjxEZTidkIa/TiRA2ihP7mmZXdFLkgbXSXU6qvuZx9ZonRwiohrFgIeoDAu2F5TuDGxeD+H+nlaTR24th6jb0KTt7J5ORDaFAQ9RCUlp2Vi+/4K6P81CBxosT9NutyNb74QAXMG5E5FaJ4eIqMYw4CEq4dvdscjO06FtAx90DfO1qvxx8/BClFt7dT9+329aJ4eIqMYw4CEqIis3H9/sPGfxAw1WJKvhAHXrdWGj1kkhIqoxDHiIivjt4CUkpuUgyMcVw9sEWmXeBHe9U902yz6KlKtJWieHiKhGMOAhKjrQ4Laz6v6DPRvCycE6D4/A8Fb4r8s0jMp5HVtiMrVODhFRjbDOMzpRFWw5lYiTl9Pg6eKI+7qGWHUeprabgqP6MGyM4rxaRGQbGPAQ3TBva0HpzpjOwfB2dbLqfOnfvK663XTyCvJ1eq2TQ0Rkco6mfwsi83ciPhVbTyXC3g54qGdDWLtOobVxu+vfGJCzHScPuqBFxz5aJ4mIyKRYwkOkSncKBhoc1joQwb7uVp8n0j5psudujHbYhtT9y7VODhGRyTHgIZuXkJqFXw9eVPkw1coGGqxIfpOh6rZu/Catk0JEZHIMeMjmfbMzBrn5elXN0yGkts3kR+Meo5Cvt0NY/jlcjj2pdXKIiEyKAQ/ZtMycfCzZHWOV00jcjK9/IKKcW6n753awWouIrBsDHrJpP0VewLWMXIT4umNQywDYmtSQgerW7dw6rZNCRGRSDHjIZul0eizYVtBYeXLPhnCQLlo2pn63u9Vt88y/kZqSrHVyiIhMhgEP2ay/TiQgOjEdXq6OuLdzMGxRcJN2uGAXiDP6QOw/dETr5BARmQwDHoKtDzQ4rlsIPFxsdEgqOzss67gEw3Lewy8XvLRODRGRyTDgIZt0+EIKdkcnw9HeDg/2sP6BBivSt224ut0YlYDcfJ3WySEiMgkGPGSTDJOEjmgXhEAfN9iy9sG14efpjLysNEQeP6V1coiITIIBD9mcS9cysfJQnLo/pZdtdUUvizTWfsl/Kw64PAL95v9onRwiIpNgwEM2Z9GOc2rCzIjwOmhd30fr5JiF0PDmcLXLRcMrm6DXsVqLiKwPAx6yKWnZefhuT6y6P60PS3cMmvUYiQy9CwJwBdFHdmn4DRERmQYDHrIpy/aex/WsPIT7e6Bf07paJ8dsuHl44oRHF3X/yt6ftU4OEZHRMeAhm5GXr8OC7QUDDU7tFQ57GxxosCJ5TYepW/9LHHWZiKwPAx6yGWuOXsaFq5nw9XDG3R3ra50cs9O01z3I09sjPP8cLp49pnVyiIiMigEP2VxX9Ae6h8LVyUHr5JidWn4BiHJto+7HbP9R6+QQERmVjQ4vS7Zmf0wyDsReg7OjPSZ0D9U6OWYrscVEvLk3EueutkUPrRNDRGREDHjIJny1paDtzl3t68Pfy0Xr5JitFgMfwIO7A6G/BMSlZNr8oIxEZD1YpUVWLyYpHWuOxav7U3qzK3pF6nq5onNobXX/zyMFeUZEZA0Y8JDV+3r7Oej1QN+m/mhajxNk3syI5t4Ybb8FPjverZHvh4ioJrBKi6xaSkYulu07r+5PZelOpQwOc8JE57nIT7ND4uWX4FevgWm/JCKiGsASHrJqMqpyRk4+mgd4oVdjP62TYxECQpvhlGNjONjpcWbLUq2TQ0RkFAx4yGrl5OmwcEd04SShdnYcaLCyEoOHqlu3M6tM9v0QEdUkBjxktVYdvoTLqdmqV9bI9kFaJ8eiNOh5n7ptmXkAqUmXtU4OEVG1MeAhq6TX6zFva0HpzqSIULg4cqDBWxHcuA3O2jeEo50OUazWIiIrwICHrNLOs0k4eikVrk72GN+NAw1WxeUb1VrOUb8Z+dshIqp5DHjIKs2/UbpzT6cGqO3hrHVyLFKDHvdBp7fD9YxMXE3L0jo5RETVwoCHrM7phDT8dSIB0kZ5ck8ONFhVwc06YEKtb/BAzvP481iCUb8jIqKaxoCHrM6C7QWlOwOb10O4v6fWybFoPTu0VLcrD13SOilERNXCgIesSlJaNpbvv6DuT+NAg9V2R5uC3m1RZ6KRmJRU/Q0SEWmEAQ9ZlW93xyI7T4c29X3QNcxX6+RYvJA67vi01g/Y5fwoTv81X+vkEBFVGQMeshrZufn4Zue5wmkkONCgcdStH666p3ue/t1IWyQiqnkMeMhq/HYoHolpOQj0ccXwNoFaJ8dqNOw7Xt22zD6MhIsxWieHiKhKGPCQVZDZ0L/eUVC681DPhnBy4K5tLPVCmiLKqTnsZW6tzd8abbtERDWJVwWyCidS7HAqIR0ezg4Y2yVE6+RYnWthd6jb2mc5CCERWSZNA54tW7ZgxIgRCAoKUu0tVqxYUeH6mzZtUuuVXE6cOFFjaSbztPFSwcSgEuz4uDlpnRyrE95vohqEsHnecVyK5vFGRJZH04AnPT0d7dq1w5w5c27pdVFRUYiLiytcmjRpYrI0kvmLir+OqBR72NsVVGeR8fkHheKYazt1P3bzImYxEVkcRy3ffNiwYWq5VXXr1kWtWrUqtW52drZaDFJTU9Vtbm6uWozJsD1jb5cqNm9bwUCDg1r4I8DLiflvIldaT8OsXZE4ntgDy3JykJeXpx7n/l6zeJ7RBvNd+3yv7rlG04Cnqjp06ICsrCy0bNkSL774Ivr371/uuu+88w5ee+21Uo+vXbsW7u7uJknfunXrTLJdKi01B/j9kMyEboeW9nFYvTqO2WQimXle+FE3AHmJdvjqpz/QwKPgce7v2mC+M99tbX/PyMiwnYAnMDAQX375JTp16qRKbRYvXoyBAweqtj19+vQp8zWzZs3CjBkzipXwBAcHY/DgwfD29jZq+iT6lC9l0KBBcHJiO5Ka8NH6U8jXRyPMS49pdzPfTW1Txt/48+hlJHk2wkO3hXN/1wDPM9pgvmuf75mZmbYT8DRr1kwtBhERETh//jw++OCDcgMeFxcXtZQkAYmpghJTbpv+JzMnH9/vLZhGon+gjvleA+5pWwd1T3yDvgeOwX7wSvUY93dtMN+Z77a2v+fdqEa32W7p3bt3x6lTp7ROBmngp8gLuJaRi+Dabmjjq+d3UAP6NKuHmU4/oq9+L07sXsM8JyKLYfEBz4EDB1RVF9kWnU6PBTcaKz/YI1T10CLTc3Z1R5TvAHU/68BSZjkRWQxNq7TS0tJw+vTpwv+jo6Nx8OBB+Pr6IiQkRLW/uXjxIr755hv1/OzZs9GwYUO0atUKOTk5WLJkCZYvX64Wsi1/nUhAdGI6vF0dMbpDEDb/dUTrJNkMz87jgLUr0fLqRlxscJfWySEiMv+AZ9++fcV6WBkaF0+aNAkLFy5UY+zExsYWPi9BzsyZM1UQ5ObmpgKfVatWYfjw4Zqkn7Qzb+tZdTuuWyg8XCyqKZrFa9ZtKOLX+iPA7gp0cQcBjNI6SUREN6XplaJfv37QyyRI5ZCgp6hnnnlGLWTbDl9Iwe7oZDja22FSj1Ctk2Nz7B0cEF3/DgRc/BoNr27VOjlERLbRhodsz7xtBaU7I9oFIdDHTevk2KSgPg+q2w75h3H18nmtk0NEdFMMeMiiXLqWiZWHCgYXnNIrTOvk2KzQZu1x1LEVNuo6YOPhgsbjRETmjAEPWZRFO84hX6dH93BftK7vo3VybNq+foswLfdfWHDCscKqaSIic8CAhyxGWnYevttT0Ih9Wu9wrZNj825vWx+OdnpEXU7D0UsFc9QREZkrBjxkMZbtPY/rWXkI9/dA/2Z1tU6OzfNxc1IDPjawS8CBjRwagojMG/vzkkXIy9dhwfbowrY79hxp0CyM9jqBB9LfRNJpH2Rnj4OLi6vWSSIiKhNLeMgirD12GReuZqK2uxNGd2ygdXLoBs964UhCLdRBCo5u/on5QkRmiwEPWYSvbgw0OKF7KFydHLRODt1gZ++IUwG3q/v2B5cwX4jIbDHgIbO3P+YqDsReg7ODPSZENNQ6OVRC3T6T1W3r9N1IjIth/hCRWWLAQxYzjcSoDkHw93LROjlUQnCTdjju1AKOdjqcWT+P+UNEZokBD5m12KQMrDkar+5P6cWu6OYqpdl96jbo7E/Q63RaJ4eIqBQGPGTWpGeWTg/0aeqPZgFeWieHytFq0ERk6F1QS3cVh48eYj4RkdlhwENmKyUzF8v2FczTNK03p5EwZ14+vlgY/hG6Zv8XC49pnRoiotIY8JDZ+n5PLDJy8tE8wAu9GvtpnRy6iYj+tyMTrlh1OA4pGbnMLyIyKwx4yCzl5uuwcPu5woEG7ezstE4S3UT74FoqOM3Oy8fq3azWIiLzwpGWySytOhSH+NQs1StrZPsgrZNDlSBB6aMtMtEs+Vk4bXWEvu8B2NnzNxURmQeejcjsyMzb87YVdEWfFBEKF0cONGgp+nXugFC7ywjXnUPUgc1aJ4eIqBADHjI7u84m48jFVLg62WN8t1Ctk0O3wLtOXRyu1V/dT936JfOOiCw34Pnss89w2223YcyYMdiwYUOx5xITExEezrFSqHrm3yjdkTmzans4MzstjGePqeq29dW/cP1aktbJISK69YDnk08+wb///W80b94cLi4uGD58ON55553C5/Pz8xETw6HlqerOXEnD+uMJkDbK0liZLE/zLoNwzj4Y7nbZOLaGIy8TkQUGPF988QW++uorzJkzB4sXL8bGjRsxe/ZsvPzyy6ZLIdmU+dui1e3A5vUQ7u+pdXKoCqShcnzjgpGX/aK+48jLRGR5AU90dDR69OhR+H9ERISq1vryyy8xa9YsU6SPbEhyeg6W77+g7k/lQIMWrcWwR5Cpd0Yj3Tkc21u86puIyOy7pfv5+eH8+fNo2PB/M1a3atVKBT0DBgzAxYsXTZFGshFLdsUgO0+HNvV90C3MV+vkUDX41PbHr/Ufx0/nnOFzuhbmdGN2EpEFlfD06tULy5cvL/V4y5Yt8ddff+HPP/80ZtrIhmTl5uObnecKS3c40KDla3zHU9iqa4s/jyYgITVL6+QQkY27pYDnueeeQ7t27cp8Tkp6pE0P2/NQVfx28BIS03IQ6OOK4W0CmYlWoFWQDzqF1kaeTo/vd8dqnRwisnG3VKW1YsUKzJw5s9znJeiRhaiqAw0+2KMhnBw4PJS1mNzZF4MufoZ+O44gt98eODlxmAEi0sYtXVlee+01pKWlmS41ZJO2nErEyctp8HB2wH1dQ7RODhnRbW2CMdZxM5rro3H4rx+Yt0RkGQGP/BInMrZ5WwtKd8Z0CYaPmxMz2Iq4uHogKmiUuu98YL7WySEiG3bLdQdsTErGdCI+FVtPJcLeDpjckwMNWqOGQ59Avt4OrbMP4tzxfVonh4hs1C3Plj5w4EA4Olb8ssjIyOqkiWzIvK0FAw0ObR2AYF93rZNDJhAQ0hSRnr3QMX0rLq/7GA1bLGY+E5H5BzxDhgyBpydHwKXqk67Kvx4sGLtpam/OwWbNXHs9BqzZirZJf+JaYjxq+QVonSQisjG3HPDIXFp169Y1TWrIpnyzMwa5+Xp0DKmFjiG1tU4OmVCLbkNwZn04GuWfxcFVnyJi0lvMbyIy3zY8bL9DxpKZk48luwsmmp3G0h2bmF8rqf0/sDBvMD680Ay5+Tqtk0RENoa9tEgTP0VewLWMXAT7umFwK1Zv2IJ2w6bgv26PYN/1Olh9OE7r5BCRjbnlyUP9/f1NlxqyCTqdHgtuzIouPbMcpIsWWT0XRwdM6B6q7sv3z2EuiMgs2/DMmDGj0hv96KOPqpoesgF/nUhAdGI6vFwdcW/nYK2TQzVoXLcQbNn4ByZf/h1R+55D8y4Dmf9EZF4Bz4EDByq1Htv5UGUHGpSLn6fLLbebJwvm5+mCZ/12osu1PTiweTbAgIeIakilrzYyMShRdR2+kILd0clwtLdT82aR7fEdNAP4cTXaXt+KS2ePISi8pdZJIiIbUO1ZGi9cuICLFwvGUiG6GcMkoXe0DUSgjxszzAY1atUFf7t2gYOdHudXf6B1cojIRlQp4NHpdHj99dfh4+OD0NBQhISEoFatWnjjjTfUc0RluXQtEysPFfTO4UCDts2h5xPqts2VlbiaeFnr5BCRDahSwPPCCy9gzpw5ePfdd1XbHplK4u2338ann36Kl156yfipJKuwaMc55Ov06B7ui9b1fbRODmmoVc8ROOMQDne7bBz7fTa/CyIyuSq1GF20aBHmzZuHkSNHFj7Wrl071K9fH48++ijeeoujqFJxadl5+G5PrLrPgQZJBiJM6TAd2PcMmsV8i8yMF+Hm7sGMISLzKuFJTk5G8+bNSz0uj8lzRCUt23se17PyEO7vgf7NODUJAW0HP4i/7VtgTu6dWB55gVlCROYX8EhpjlRplSSPyXNERUk11oLt/xto0J4DDZIULzu74O9BP2Bh/lB8seMi8jjdBBGZW5XW+++/j9tvvx3r169HRESEGntnx44diI2NxR9//GH8VJJFW3M0HheuZqK2uxNGd2ygdXLIjNzbKRj/t+4kzidnYvWReIxsF6R1kojISlWphKdv376IiorC3XffjWvXrqlqLLl/8uRJ9O7d2/ipJIv21Y2BBmVaATdnB62TQ2ZE9oeHujfAKPtt8Fn5MPTs5UlEJlLlYW7r1KmjGi137969sCv6vn371G3Rxsxk2/bHXMWB2GtwdrDHAxEF8ygRFTWxkx+cti+AR24WDm5chvYD72MGEZF5BDx//vknJk6ciKSkpFITAEr1Vn5+vrHSR1YyjcSoDkGo6+WqdXLIDNWqUxe7gkaje9y3cN75MfQDxnKKGiIyjyqtxx9/HPfeey8uXbqkSneKLgx2yCA2KUO13xEcaJAq0mTks8jRO6Jl3jEc3r6amUVE5hHwJCQkqNnT69WrZ/wUkdWQnlk6PdCnqT+a1vPSOjlkxuoEhuKgf0FVuN2W97VODhFZoSoFPPfccw82bdpk/NSQ1UjJzMWyfefV/Wm9w7RODlmA0DufR47eAW1yDuL47rVaJ4eIrEyV2vDIeDtSpbV161a0adMGTk5OxZ5/8sknjZU+slDf74lFRk4+mgd4oVdjP62TQxagXnAT7KkzHF2Tf0fuxveAboO1ThIR2XrA891332HNmjVwc3NTJT3SUNlA7jPgsW25+Tos3H5O3Z/cK4wNUKnS6t/xInYtPIM5qYPw7/PX0C64FnOPiLSr0nrxxRfVbOkpKSk4d+4coqOjC5ezZwt65ZDtWnUoDvGpWfD3csGd7TmQHFVe/fDm+LH1XGzTtcHs9SeZdUSkbcCTk5ODsWPHwt6+Si8nKybDFMzbVhD0TooIhYsjBxqkW/PEgMZwsLfDxqgriIy9yuwjIqOoUsQyadIkLF261DgpIKuy62wyjlxMhauTPcZ340CDdOsa+nlgfDtvzHBchtzvJzILiUi7Njwy1o7MpyXteNq2bVuq0fJHH31knNSRxZl/o3Tnnk4NUNvDWevkkIWa3sUXdY/9BsdMHY7tXoeW3QZpnSQissWA5/Dhw+jQoYO6f+TIkWLPFW3ATLblzJU0rD+eANkFZFZ0oqoKCm+JvXVuR5fk36H7602AAQ8RaRHwbNy4sbrvS1Zo/rZodTuweT2E+3tqnRyycMGjXkbO/NVonXMQR7avROued2idJCKyYJq2Ot6yZQtGjBiBoKAgVTK0YsWKm75m8+bN6NSpE1xdXREeHo65c+fWSFqpYsnpOVi+/4K6P5UDDZIRBIQ0xQH/O9V9h01vcyZ1IrLcgCc9PR3t2rVTAxlWhnR7Hz58OHr37o0DBw7g+eefV2P+LF++3ORppYot2RWD7DwdWtf3RrcwX2YXGUX4XS8jW++EFrlHcWgzj3MiquEqLWMZNmyYWipLSnNCQkIwe/Zs9X+LFi2wb98+fPDBBxg9enSZr8nOzlaLQWpqqrrNzc1VizEZtmfs7Zq77Nx8LNpRMNDgQxGhyMvLq9H3t9V811pN5Hutug2wN+Ae9Lj8PVy2vY/sHnfC3t622wlyf2e+2+r+nlvNc42dXgZOMQNSpfXLL79g1KhR5a7Tp08f1Vj6448/LnxMXjNmzBhkZGSU6i0mXn31Vbz22mtljhbt7u5uxE9gu3Yl2OH7Mw6o5azHyx3y4cDhmciIcjOvQ3fsJ3ySOwr9G/mis79ZnLKIqIbJdX7cuHFq0GNvb2/LKuG5VfHx8aVmaJf/pUQhMTERgYGBpV4za9YsNbN70RKe4OBgDB48uEoZVhGJPtetW4dBgwaVGXxZI4mX58zZIRWUeLh/U4zoVfO9s2wx381BTeb7535dcGH9aWxMcsNz43vC2dF2o2ru78x3W93fMzMzq7Utiwp4yur2biigKq87vIuLi1pKkhO0qU7Spty2udl88gpOJaTDw9kB47uHafq5bSnfzUlN5PvUPo2wZPd5XLiaiV93n8C4fu1g67i/M99tiezv1W0uYVE/kwICAlQpT1EJCQlwdHREnTp1NEuXLZu3tWCgwTFdguHjxmCDTMPd2RH/7uOPOU4fY/CmkUi7fo1ZTUTWG/BERESooq2i1q5di86dO/OXvQZOxKdi66lESBtSDjRIpjaqWzN0cIyBH67h8LI3meFEZDkBT1paGg4ePKgWQ7dzuR8bG1vY/mbixP/NpTN9+nTExMSoNjnHjx/HggULMH/+fMycOVOzz2DL5m8tGGhwaOsABPuyATiZlpOzK+K7Pqfut4v9BomXCnoGEhGZfcAjXcql15VhmgoJZOT+yy+/rP6Pi4srDH5EWFgYVq9ejU2bNqF9+/Z444038Mknn5TbJZ1MJ+F6Fn49eEndn9o7nFlNNaLjkEk44dgC7nbZOPvj88x1IrKMRsv9+vUrbHRcloULF5Z6rG/fvoiMjDRxyuhmFu+MQU6+Dh1DaqFjSG1mGNUIO3t7YMibwKrR6Jy8GmcO70ajNt2Y+0RkXW14yDxk5uSrkZXFNJbuUA1r3uU2RHr2hb2dHukrZ1X4o4mIyIABD92y5ZEXcDUjF8G+bhjcKoA5SDUu4O53kaN3gH9WNLYeOMZvgIhuigEP3RKdTo8FN2ZFl55ZDjY+zD9pIyi8JVa0+AgDsj/AqxuuIDdfx6+CiCrEgIduyYYTCTibmA4vV0fc2zmYuUeaGTZqPNw9vNX+aKhiJSIqDwMeuiVf3RhocFy3EHi6WNxA3WRFvFydMGNwU9hBhzPrvkRywkWtk0REZowBD1Xa4Qsp2B2dDEd7OzzYoyFzjjR3X5cQzPVehDfxGU7+MEvr5BCRGWPAQ5U2b1tB6c4dbQMR6OPGnCPNSRuy0IFT1f2uSb8h6sBWrZNERGaKAQ9VyqVrmVh5KE7d50CDZE6adxuKSO8Bqpu6ftVM6PLztU4SEZkhBjxUKYt2nEO+To/u4b5oXd+HuUZmJWTsR0jXu6J53gns+3WO1skhIjPEgIduKi07D9/tKZjigwMNkjnyqx+GI03+oe43OfQBUpMStE4SEZkZBjx0U8v2nsf1rDyE+3mgf7O6zDEySx3HzEK0fQhqIxXHv/u31skhIjPDgIcqlJevw4LtNwYa7BUGew40SGbKydkFGbe9h0O6MLwb1xGRsVe1ThIRmREGPFShtccu48LVTNR2d8Lojg2YW2TWWvUYjkWtFuKArjGe//kwR2AmokIMeKhSAw0+0D0Ubs4OzC0yey/c0VIF6Cfir2PxpiNaJ4eIzAQDHirX/pirOBB7Dc4O9pgQEcqcIovg6+GM54c2xlOOP+HuLUNx6VyU1kkiIjPAgIfKNe9G6c6d7YNQ18uVOUUW457ODTHY/RRq2aUjYekT0Os4uSiRrWPAQ2WKTcrAmqPx6j4HGiRLY2dvD4+7P0WO3gHtM3dj/x8LtE4SEWmMAQ+V6esd0dDpgd5N/NAswIu5RBYntHkHRIZMVvfD976G5IRLWieJiDTEgIdKScnMVWPvCA40SJas4wNvIto+FL5IxZnFT2idHCLSEAMeKuWHPbFIz8lHs3peqoSHyFI5u7gif8Qc5Ovt0OX6ekSu+17rJBGRRhjwUDG5+Tos3HFO3Z/SOwx2dnbMIbJojTv0wb6g8cjUO2PVrr+RkpGrdZKISAMMeKiY1YfjEJeSBT9PF9U7i8gatJvwHqZ5foL56b3xxqpjWieHiDTAgIcK6fX6woEGJ0WEwsWRAw2SdXB198TTY4ZACix/2n8B645d1jpJRFTDGPBQod3RyThyMRWuTvZqZGUia9Ip1BcP9w5HJ7so+C8byV5bRDaGAQ+VGmhQ5syq7eHMnCGrM2NQY/zHbRHa4wSiFz3CAQmJbAgDHlLOXknD+uMJ6v6UXmHMFbJKLk5O0N85B7l6B3RK34I9v3+pdZKIqIYw4CFl/rZodXtbi7oI9/dkrpDVatSuNyIbTlX3W0a+irgYzrVFZAsY8BCS03OwPPKCyglOI0G2oPOEt3DCqSW87DJxbclDyM/L0zpJRGRiDHgI3+6KQVauDq3re6NbmC9zhKyeg6MTvO6fjzS9G1rkHsXuxS9qnSQiMjEGPDYuOy8fi3bGFE4jwYEGyVbUD2+JEx1fUvdTz+7DvugkrZNERCbEgMfG/XrwEhLTshHo44rhbQK1Tg5Rjeo88lHMDf4A03Ofwj+XchRmImvGgMfGBxqcv7WgsfKkHg3h5MDdgWyMnR3Gj38QoXU8cPFaJp7/+RC7qhNZKV7hbNjWU4mIunwdHs4OuL9riNbJIdKEl6sTPrmvA2rZZ2JI1AvYu/xDfhNEVogBjw0zTCMxpkswfNyctE4OkWbaBdfCJ63PYKTDTrQ78h5OH9rJb4PIyjDgsVFR8ddVCY+9HTC5JwcaJOo1diYOuXWFi10uXH95CCnX2IiZyJow4LHxaSSGtg5AsK+71skh0py9gwMaTl2CeDt/NNDH4cyXk9ieh8iKMOCxQQnXs1TvLDGlV7jWySEyG9516uH6iHnI0TugY8ZW7P7uda2TRERGwoDHBi3eGYOcfB06hNRCp9DaWieHyKw06dgPB1o9q+53PvUxju78Q+skEZERMOCxMZk5+Viy638DDRJRaV3v+Tf2ed+GZHjjP+vOqC7rRGTZGPDYGJkz62pGLhrUdsPglvW0Tg6RWbKzt0erRxZiRq2PsSkjDNMX70dWbr7WySKiamDAY0N0Oj0W3JgV/aGeYXDkQINE5XLz8MI7kwajtrsTDl9MwXtL17MRM5EFY8BjQzacSMDZxHR4uTpibJdgrZNDZPakB+N/x3XEHQ678e9TE7D7h7e1ThIRVREDHhsyb1tBV/RxXUPg6eKodXKILEKPxn6Y0NIR7nbZ6BL1AQ5t/EnrJBFRFTDgsRFHLqZg19lkONrbqXmziKjyut7/IvbUGg4HOz3CNj2OcycimX1EFoYBj40NNHh720AE1XLTOjlEFteIuf30BTju1ApedplwWnofkq/EaZ0sIroFDHhsQFxKJlYeKjg5T+VAg0RV4uzqhoCHf0KcXV3U119G/JejkZWZztwkshAMeGzAwh3nkKfTo1uYL9o08NE6OUQWq7Z/EHLH/oBUuKNl7lH88fVbqvcjEZk/BjxWLi07D9/tjlX3OdAgUfWFNO+EmIFfYEH+cPwrNgLvr4lithJZAAY8Vu7HfedxPSsP4X4eGNC8rtbJIbIKbXqPhPeo/0AHe8zdfAaLdpzTOklEdBMMeKxYvgw0uP3GQIO9wmBvb6d1koisxj2dGmDm4KZwRB48/ngCB9Ys0jpJRFQBDsZixdYejcf55Ew1Uuw9HRtonRwiq/NY/8YIPfMtRlzcguwdO3Hc2x8tIoZrnSwiKgNLeKzYVze6oj/QPRRuzg5aJ4fI6tjZ2WH4Qy8g0r0nXOxy0eDPyTh9aKfWySKiMjDgsVL7Y64iMvYanB3sMSEiVOvkEFktB0cntHx8GY45t1Zj9NT+eSxiT/2tdbKIqAQGPFZq/o1pJO5sH4S6Xq5aJ4fIqrm6eyL40V9xxiEcdZAC52/vRnzsKa2TRURFMOCxQueTM/DnkXh1f0rvMK2TQ2QTvGr5ofbDvyPWvj4CkIj0hffgSkqG1skiohsY8Fgh6ZklY6H1buKH5gHeWieHyGb41msAl8m/44xdCF7MGo9x8/ciMS1b62QREQMe65OSmYtle8+r+1N7h2udHCKbU69BIzj8YzuiPTvhVEIaHpi3G8npOVoni8jmsYTHyvywJxbpOfloWs8TfZr4aZ0cIpvUsK43vpvWDXW9XJB3+TjO/N9QpCRd1jpZRDaNAY8Vyc3XqXmzDJOESpdZItJGuL8nvpvaFZ+7zEGXvP248tkwpCQVtK0jIhsMeD777DOEhYXB1dUVnTp1wtatW8tdd9OmTeoiXnI5ceJEjabZXK0+HIe4lCz4ebrgzg5BWieHyOY1rucNpzELkAxvNM4/g6T/DkFSwkWbzxcimwt4li5diqeeegovvPACDhw4gN69e2PYsGGIjS2Y7LI8UVFRiIuLK1yaNGkCW6fX6wsHGpwUEQoXRw40SGQOGrbsgutjVyAJtRCuO4frc4cgMa7icxwRWVnA89FHH2HKlCmYOnUqWrRogdmzZyM4OBiff/55ha+rW7cuAgICChcHB17cd0cn48jFVLg62WN8dw40SGROQlt0Qub433AFvmioO4/ML4fgMsfpIbKNubRycnKwf/9+PPfcc8UeHzx4MHbs2FHhazt06ICsrCy0bNkSL774Ivr371/uutnZ2WoxSE1NVbe5ublqMSbD9oy93cr4assZdXtX+yB4OdtpkgataJnvtoz5fmvqNWyJuPErEPftaATrL2HNwqfRcOoShPt7MN8tAPd37fO9uud4O73UhWjg0qVLqF+/PrZv344ePXoUPv72229j0aJFqtqqJHlsy5Ytqq2PBDGLFy/G3LlzVduePn36lPk+r776Kl577bVSj3/33Xdwd3eHNUjIBN4+6AA97PB8+zzUc9M6RURUnuy0ZHifWoaZWZOhd3TDP1rkI9iT+UV0MxkZGRg3bhxSUlLg7e1tebOll+xJJPFXeb2LmjVrphaDiIgInD9/Hh988EG5Ac+sWbMwY8aMYiU8Um0mJUlVybCKSPS5bt06DBo0CE5OTqgpr/x+DHpcwIBm/nhodAfYGq3y3dYx36suKX0MGn4TiSOXUvF5lDMWjvRF+3Ydme9mjPu79vmemZlZrW1pFvD4+fmptjfx8cW7aSYkJKBevXqV3k737t2xZMmScp93cXFRS0lyYTTVxdGU2y7panoOfj5wSd2f1qeRTV/wazLfifleHQG1nPDDIxF4+Jt9aHVuEdr9vgyHr/wHHYdNrvQ2uL9rg/muXb7n5eVZZqNlZ2dnVTUlkVtR8n/RKq6bkd5dgYGBsFVLdsUgK1eHVkHe6B7uq3VyiKiSPF0csWBSZwytdRHOdnlov2sGdn77pirlJiLj07RKS6qaJkyYgM6dO6vqqS+//FJ1SZ8+fXphddTFixfxzTffqP+lF1fDhg3RqlUr1ehZSnaWL1+uFluUnZePRTtj1P1pvTnQIJGlcXV2RPunf8aeudPQNfFnRJz6D3Z9FoMuj3wOB0fNWxwQWRVNj6ixY8ciKSkJr7/+uhpPp3Xr1li9ejVCQwu6VctjRcfkkSBn5syZKghyc3NTgc+qVaswfPhw2KJfD15SExMGeLvi9ra2W8pFZMkksOny6Hzs+bYBup75BN2vLMPBjy6g6aM/wN3TR+vkEVkNzX9CPProo2opy8KFC4v9/8wzz6iFChp3z98arbLiwZ4N4eSg+aDZRFRFdvb26DrhDUSuDkOr3c+gfcYORP3fbfB+fAMCa3sxX4mMgFdJC7X1VCKiLl+Hu7MD7u8aonVyiMgIOg6fjOjbv8dVeGNJVg+M/Gw3DsReZd4SGQEDHgs1b1tB6c6YzsHwcWPPJCJr0bzrIGQ+vAN7/e7GlevZGPvlLvy+p/S4ZER0axjwWKCo+OvYcvIK7O2AyT3DtE4OERlZUFAwfnq0J25rUQ+uedfReuUI7Px8OnJzc5jXRFXEgMcCzd9WMEnokFYBCKljHaNFE1HpbutfTuiEt1tdRJj9ZURc/h4n/jMIyQkF424R0a1hwGNhEq5nYcWNgQan9mbpDpE1s7e3wx0TnsaB7h8jQ++CNjkHof9qALKunNY6aUQWhwGPhVmyMwY5+Tp0CKmFTqEcaJDIFnQY+iAS71+N83ZBCEAi7jr/FvYuexd6nU7rpBFZDAY8FiQzJx+Ld/1voEEish0hzTuj1lPbsc+jD5zt8tHj1AdYPudZpGRUbwZpIlvBgMeCLI+8gKsZuQj2dVPtd4jItnj5+KLtkz/hF68HcF7vj7cudcTtn25l13WiSmDAYyF0Oj0W3OiK/lCPMDhIFy0isslBCu0bD0bihM3w9K2HC1czcc/cnVj543zkV3NyRSJrxoDHQmw4kYCzienwcnXEmC7BWieHiDTWOrQuVj7RW00rcyc2446jM3Di/X6Ijz2lddKIzBIDHgsx70ZX9HFdQ1R3VSIiGXR0zv0dcF/XUNWLq1XOYbgv6IN9v3/BBs1EJTDgsQBHLqZg19lkONrbqXmziIgM7Ozs0HXUo0iesAFRjs3gjQx03v8MIj+8E0kJF5lRRDcw4LEA87YWlO5I0XWgj5vWySEiM9SgcWs0enYbdoU8gly9Azqlb4HdZ92xb/0yrZNGZBYY8Ji5uJRMrDwUp+5P7cWu6ERUPkcnZ3Sf/D5i7v4N0fah8EUqPtgQg0e/3a8GLSWyZWwMYuYW7jiHPJ0e3cJ80aaBj9bJISIL0LhdL2Q324VfflmMvYeDkX84HttPJ+H9vq4Y3KeX6ulFZGu415uxtOw8fLc7Vt3nQINEdCtcXN1x1/2P4LfHe6J1fW94ZV1E74334Oh7AxB76hAzk2wOAx4z9uO+87ielYdwPw8MaF5X6+QQkQVqFeSDFY/2xMsds2EPHVpnH0C9JQOwY/6/kZWZrnXyiGoMAx4zlS8DDW4vGGhwcq8wNYkgEVFVODrYY/C905E0aQsOu3aCi10uepz/Eonvd8ShDUuZqWQTGPCYqbVH43E+ORO13Z0wumMDrZNDRFagfnhLtH5mPQ50/RAJ8EUDfTzabnkYu9+/E2cTrmudPCKTYsBjpr660RX9ge6hcHN20Do5RGQlpMFyh+FT4T4jErsCxqsu7LtSa2PIx1vxzurjSM3iZKRkndhLywxFxl5FZOw1ODvYY0JEqNbJISIr5OldG92nf4bYqGk4sjUVuafT8MWWszi5bz2mN8tEx7v+CSdnF62TSWQ0LOEx44EGR7YPQl0vV62TQ0RWLKRZB3w5pQ/mT+qMRn5u+GfeAnQ7/hbi3u2AA2uXcIoKshoMeMzM+eQM/HkkXt2f2jtM6+QQkY1MTzGwRT38+c/eyG41FlfhjRDdRXTY8Rii3u6Bozv/0DqJRNXGgMfMSM8snR7o3cQPzQO8tU4OEdkQJycndBv7HByeOoidQZOQqXdG87zjaLXmPvz97m04+fcOrZNIVGUMeMxISmYulu09r+5P7c1pJIhIG9616iDi4U+Q/sg+7K5zl2rY3C5rLz5ZuhpTF+1VExoTWRo2WjYjP+yJRXpOPprW80SfJn5aJ4eIbJxfUCj8nliIS2eP4fiqOfjjUjfkH0/A+uMJ+FfoGQzt3h5NOvTROplElcISHjORm69T82YZJgmVOnUiInMQFN4SA5/4DGtn9MddHerDzS4HY+M/RJNfR+DvdweqNj56nU7rZBJViAGPmVh9OA5xKVnw83TBnR2CtE4OEVEpjfw98X9j22PV9E6IqdUNeXp7tMvap9r4RL3TAwfWfQtdfj5zjswSAx4zoNfrMW9rwTQSEyNC4eLIgQaJyHyFh4agy9PLkDBpO3bXGYVsvROa5x5Hh+2P4sKbbbB+9Y/IymXgQ+aFAY8Z2B2djMMXU+DiaK9GViYispSqrm5PLML16ZHYFTQRqXBHiP4iPtiaiB7vbsAHa6IQfy1T62QSKWy0bEYDDY7u1AC+Hs5aJ4eI6Jb4BYbA7+FPkZb6Ojas+xHXTzVG8rVMzNl4GsHbnkWjWnbw7PUPNOtym5ragkgLDHg0dvZKmurxIKb04kCDRGTZ01UMGP0w+uTrsO7YZSzbdhij4rfC5Xoe8McGnF3TEFeaT0CroVPUukQ1iaG2xuZvK2i7M7B5XdUgkIjI0jk62GNYm0B8/Y/BOH/3b9hd63Y1iGG47hy6HXsDdh82x55PHkDUwR2qDSNRTWAJj4aS03OwPPKCus+BBonIGjVu11MtKclX8Pcfn6P+6e8RjEvomvw73vnRE5s35WFsl2Dc2b4+q/TJpBjwaOjbXTHIytWhVZA3uof7apkUIiKT8vH1R/fxL0OvexFHdv2BrF0L8FtyX8TFX8drvx/DwT8WYJL3AaD9fWjd9x44u3DiZDIuBjwayc7Lx6KdMer+tN4caJCIbIM0Wm7d43agx+34MyMXv/59Ecv2ncfYhPXomHEM2LEVV3c8hwN1BsK76zg063wb7B04VAdVHwMejfx68BIS07IR4O2K29sGapUMIiLN+Lg7YWJEQ7WcOzobu7YuQuP4VfDDNXRLWgH8sQJxf/gjOnAYvIa/gdYNfDgKPVUZAx4NSCO9+TcGGnywZ0M4ObDtOBHZtoatuqklLzcHh3euRFbkUrS4uhmBdlcQfWEfRvx3O0J83TG8TSDuanAdTVt1Yhd3uiUMeDSw9VQioi5fh7uzA+7vEqJFEoiIzJKjkzPa9Lkb6HM3sjLSELnlJ+w7nwu3WAfEJmdg+eb9eMblMVxeXgfn/AfAq/0oNOs6SL2OqCIMeDQw70ZX9DGdg1WRLhERlebq7omOQx9ER+nJmpOHjSeu4OyuX5F10RkBSETAlWXAumW4ts4Tp7wjYN98GJr0vAvePuwEQqUx4KlhUfHXseXkFdjbAZN7cqBBIqLKcHd2LGjv2HY6sjIewMHtK5B7dCUaX9uG2riOLqnrgD3r8K8dp3ExZCT6N6uL/k1qoUlAbVZ9kcKAp4bN31YwjcSQVgEIqeNe029PRGQVJT/tBz0ADHpAtfk5vu8vpPz9OwIStuCvvHa4djYZu84m4+ra3/CQ0zo1s7t9k9vQuNsdqOVXT+vkk0YY8NSgK9ezseLAJXV/am+W7hARVZe03WkRMQyQRXrAJqVjU9QVbIxKQJ/oI6iHJNS7thrYuxq6Pf/CKcdGSKzbHR7NB6Jxt+Fwd+V4P7aCAU8NWrzzHHLydegQUgudQlnHTERkbKF1PDCphywNkZWxBof3rEHG8bUIuLIdobrzaJJ/Gk3iTiPt0k/otPYrtGrgh27hvujvm4wWzVvCw6sWvxQrxYCnhmTl5mPxrv8NNEhERKav+mrTbzQgC4DESzE4t2819Gc3I/56LjKzHbAv5qpa7nF+Gi4rr+CkU2Mk1+kIl/AeCG43AH4BwfyarAQDnhoic2ZdzchFg9puGNySdchERDXNLygUfiP/AeAfajy0tskZ2H02GQdOn4drlA6O0KFp3kngsiw/ADuBS3b1cNh3EC51mIG0NCAnTwcndq61SAx4aoBOpy+cFf2hnmFqJmEiItKOnZ2dqv6SZUwXKcU5jfjYk7jw90bkn9uJulcjEZofiyBcxqbLl/DayhPqkjn3+Bosc3sPabVbwKFBJ/g3i0Bw4zac/sICMOCpAdJ47uyVdHi5OqpZgYmIyPwEhDRVC/CI+j/1WhJiDm0Gkp3QO7EO9kcnonF+NFrlHgESZPkRiATS9G6IdWmM1FotkdX4dgS07Y/G/p78cWtmGPDUgK+2FnRFH9c1BJ4uzHIiIkvgXauOGvW5DYB7c3OxatVqtG03EvsOOyPv/H7UvnYEITln4GmXiZY5h4GEw3j7oj2+3OAIZ0d79K6Thul2y5FftxU8g9sisGkn1KnXQOuPZbN49TWxIxdT1HgQjvZ2qtcAERFZJjs7ILhBA4SHSTugAjIOUPSpv5F4cjfyL/2N1PwIeCY6Ii07D+5XDqKL8x/AtT+AkwD+ApLgg3jnhkjzbozEpmPg17gLmtTzgq8Hp8YwNQY8JjbvRumOjBAaVMvN1G9HREQ1PA5QWMsuahHdAbyt0+PC1UzEnvDCzhPZcEk6jrqZZxCki0cduxTUyfkbSPwb0y6FYt2GfPW6O9yO4DHHX3HdsyF0dZrAtV4z1A5picCGzeHswrGCjIEBjwnFpWRi5aE4dX9qL3ZFJyKyBfb2dmok/ZCefQBZbshIS8HFU38j+dwh6C8fg7dDJzRIdlPBUUjOabTQHwWuyqLaUAPbgTy9PS7Y18XXdZ9FXlBX1ci6iXs6gt1zEBDaDK5uHpp+VkvCgMeEFu44hzydHt3CfNGmgY8p34qIiMycu6cPmnToA8hyozRIZOTk4cLZEOw/3RU5l0/A5doZeGfEIijvAtztstFAH4+tsTk4GVMwltsjDr9jltP36n4CfJHkFIB0t/rI8w6Bg28o9E2Hol5gAwT6uKm2RFSAAY+JpGfn4bvdser+VA40SEREFUyM2rR5G0CWIvQ6HRLiYnAl5jim2TfFmat5iElKR4OL9kjLcFONpesiGXVzk4HcY0AqgAvA0L3OOKEPUW2OprttxCj7LUh3DUCORxDgUx/OvsFw9wtB7YBQ1KkXAkcbGViIAY+JLNt3Htez8hDm54GBzeua6m2IiMhK2dnbo279MLW0KvZMJ+h1c3A1OQEJsVFIizuFnKRzsL8WC/eMC3D2DIFrij2ycnUIzDmHZo5RQJosAC4Xf4+hOe8h2aMxAnxcMcx+NzrmH4LOMwAO3gFwqR0Id9/6qFU3GLX9g1R7JUvGgMcE8nV6LNheMNDg5F5hqj6XiIjImMFQbb8AtQB9iz33m5QO6fVISs9BUkx9RF64UwVE+pSLcE6Pg0f2ZdTKTUQdfTIu6Woj9Xo2Eq5n4x7HnejmuE66kpWi09vhLofZSPcKg5+nCwbod6N13hHA3R/2Xv5w9q6LJmEN4VE7AHCvA7iZ35xkDHhMYN3xBJxPzkQtdyfc05FjLhARUc2PJC2BiV+r9oAsZdDl52N9eg4up+YgPjULDmdTsPNyKBzS4+GSmQCPnCT45CfDV38NDnZ6nM1wQ0pGGk5eTsMwxy3o7ri++Aa337j1DABmRsHcMOAxga93FDQse6BbKNycHUzxFkRERNVi7+CAut5uamkDH6DlOBkit9R6+Xl5SEqKx1KdFxLTcnElLQvu0Xdg15VA2GcmwTk7Ge65yWjkkQ2HzCTAw88svxkGPEZ27joQGXsNzg72mNgj1NibJyIiqlEOjo5qhOg6RR/s8JDMDln2C/JzYY4076/22WefISwsDK6urujUqRO2bt1a4fqbN29W68n64eHhmDt3LszJxriCLL2zfRDqenGwKCIisjEO5tnrS9OAZ+nSpXjqqafwwgsv4MCBA+jduzeGDRuG2NiC7twlRUdHY/jw4Wo9Wf/555/Hk08+ieXLl8McnL+agb+TChooT+kdpnVyiIiIyBwCno8++ghTpkzB1KlT0aJFC8yePRvBwcH4/PPPy1xfSnNCQkLUerK+vG7y5Mn44IMPYA4W7YyFHnbo1bgOmgd4a50cIiIi0roNT05ODvbv34/nnnuu2OODBw/Gjh07ynzNzp071fNFDRkyBPPnz0dubi6cyhg8KTs7Wy0GqakyMhPU+rIYS2pmLn7cf1Hdn9i1vlG3TRUz5DXzvGYx37XBfGe+2+r+nlvN66pmAU9iYiLy8/NRr169Yo/L//Hx8WW+Rh4va/28vDy1vcDAwFKveeedd/Daa6+Venzt2rVwd3eHsVxIB9ztHeDtBmScjcTqgmF4qAatW7eO+a0B5rs2mO/Md1vb3zMyMiy7l5aMFVCUDJZU8rGbrV/W4wazZs3CjBkzipXwSLWZlBR5exu32mlidg6Wr16PwYMHlVnaRKYhUb8cDIMGMd9rEvNdG8x35rut7u+ZmZmWGfD4+fnBwcGhVGlOQkJCqVIcg4CAgDLXd5Quc3WKdZgr5OLiopaSJCAxRVBS28V026aKMd+1wXxnvtsS7u/a5bvU5lhko2VnZ2fVvbxksaz836NHjzJfExERUWp9qZrq3LkzAwwiIiIyz15aUtU0b948LFiwAMePH8fTTz+tuqRPnz69sDpq4sSJhevL4zExMep1sr68Thosz5w5U8NPQUREROZO0zY8Y8eORVJSEl5//XXExcWhdevWWL16NUJDC0YolseKjskjAxTK8xIY/fe//0VQUBA++eQTjB49WsNPQUREROZO80bLjz76qFrKsnDhwlKP9e3bF5GRkTWQMiIiIrIWmk8tQURERGRqDHiIiIjI6jHgISIiIqvHgIeIiIisHgMeIiIisnoMeIiIiMjqMeAhIiIiq8eAh4iIiKweAx4iIiKyepqPtFzT9Hq9uk1NTTXJNPYZGRlq25wtveYw37XBfGe+2xLu79rne2ZmZrHr+K2yuYDn+vXr6jY4OFjrpBAREVEVruM+Pj63+jLY6asaKlkonU6HS5cuwcvLC3Z2dkbdtkSgEkidP38e3t7eRt02Md/NDfd35rst4f6ufb7LdVuCHZk43N7+1lvk2FwJj2RSgwYNTPoeEuww4Kl5zHdtMN+Z77aE+7u2+V6Vkh0DNlomIiIiq8eAh4iIiKweAx4jcnFxwSuvvKJuqeYw37XBfGe+2xLu75af7zbXaJmIiIhsD0t4iIiIyOox4CEiIiKrx4CHiIiIrB4DHiIiIrJ6DHiM5LPPPkNYWBhcXV3RqVMnbN261VibpnK8+uqrarTsoktAQADzy8i2bNmCESNGqNFNJY9XrFhR7Hnp9yDfhTzv5uaGfv364ejRo/weTJjnDz74YKl9v3v37szzanrnnXfQpUsXNaJv3bp1MWrUKERFRRVbh/u7NvlujH2eAY8RLF26FE899RReeOEFHDhwAL1798awYcMQGxtrjM1TBVq1aoW4uLjC5fDhw8wvI0tPT0e7du0wZ86cMp9///338dFHH6nn9+7dq4LOQYMGFc5bR8bPczF06NBi+/7q1auZ1dW0efNmPPbYY9i1axfWrVuHvLw8DB48WH0fBtzftcl3o+zz0i2dqqdr16766dOnF3usefPm+ueee45Za0KvvPKKvl27dszjGiSnjF9++aXwf51Opw8ICNC/++67hY9lZWXpfXx89HPnzuV3Y4I8F5MmTdLfeeedzF8TS0hIUPm/efNm9T/3d23y3Vj7PEt4qiknJwf79+9X0WhR8v+OHTuqu3m6iVOnTqlif6lOvO+++3D27FnmWQ2Kjo5GfHx8sf1fBgjr27cv938T27Rpkyr+b9q0KaZNm4aEhARTv6XNSUlJUbe+vr7qlvu7NvlurH2eAU81JSYmIj8/H/Xq1Sv2uPwvFwIynW7duuGbb77BmjVr8NVXX6n87tGjB5KSkpjtNcSwj3P/r1lSZf7tt99iw4YN+PDDD1VV4oABA5CdnV3DKbFeUrg2Y8YM9OrVC61bt1aPcX/XJt+Ntc/b3GzppiINqEp+aSUfI+OSA8CgTZs2iIiIQKNGjbBo0SJ1wFDN4f5fs8aOHVt4Xy4KnTt3RmhoKFatWoW77767hlNjnR5//HEcOnQI27ZtK/Uc9/eaz3dj7PMs4akmPz8/ODg4lCrNkaK2kr96ybQ8PDxU4CPVXFQzDL3iuP9rKzAwUJ38ue8bxxNPPIHffvsNGzduRIMGDQof5/6uTb4ba59nwFNNzs7Oqhu6tCwvSv6X6hWqOVK0efz4cXUgUM2QtlNyESi6/0u7Nul1wf2/5kg17vnz57nvV5OUzEsJw88//6yqTmT/Lor7uzb5bqx9nlVaRiDVJxMmTFBFbFKt8uWXX6ou6dOnTzfG5qkcM2fOVGOVhISEqBK1N998E6mpqZg0aRLzzIjS0tJw+vTpwv+l4ebBgwdVg0LJexmS4e2330aTJk3UIvfd3d0xbtw4fg8myHNZZNyj0aNHq5P9uXPn8Pzzz6vS5rvuuot5Xg3SNfq7777Dr7/+qsaEMZRc+vj4qDGmpCqL+3vN57scD0bZ543Qg4z0ev1///tffWhoqN7Z2VnfsWPHYt3pyDTGjh2rDwwM1Ds5OemDgoL0d999t/7o0aPMbiPbuHGj6iJacpFuooauujJEgHRPd3Fx0ffp00d/+PBhfg8myvOMjAz94MGD9f7+/mrfDwkJUY/HxsYyz6uprDyX5euvvy5ch/t7zee7sfZ5uxtvRkRERGS12IaHiIiIrB4DHiIiIrJ6DHiIiIjI6jHgISIiIqvHgIeIiIisHgMeIiIisnoMeIiIiMjqMeAhIiIiq8eAh4jMUr9+/dQw/kRExsCAh4iIiKweAx4ioiIzvRORdWLAQ0RmS6fT4ZlnnlEzhAcEBKgZkw1iY2Nx5513wtPTE97e3hgzZgwuX75c+PyDDz6IUaNGFdueVJFJVZmB3H/88ccxY8YMNfPyoEGDauiTEVFNY8BDRGZr0aJF8PDwwO7du/H+++/j9ddfx7p16yBzHkswk5ycjM2bN6vHzpw5g7Fjx1bpPRwdHbF9+3Z88cUXJvkcRKQ9R60TQERUnrZt2+KVV15R95s0aYI5c+bgr7/+Uv8fOnQI0dHRCA4OVv8vXrwYrVq1wt69e9GlS5dKZ2rjxo1VMEVE1o0lPERk1gFPUYGBgUhISMDx48dVoGMIdkTLli1Rq1Yt9dyt6Ny5s9HSS0TmiwEPEZktJyenYv/b2dmpdj1SpSX3Syr6uL29vfq/qNzc3FKvkSozIrJ+DHiIyOJIaY40Wj5//nzhY8eOHUNKSgpatGih/vf390dcXFyx1x08eLDG00pE5oEBDxFZnNtuu01Vd40fPx6RkZHYs2cPJk6ciL59+xZWUQ0YMAD79u3DN998g1OnTqm2QEeOHNE66USkEQY8RGRxpNpqxYoVqF27Nvr06aMCoPDwcCxdurRwnSFDhuCll15S3dqlEfP169dVUEREtslOX7KSm4iIiMjKsISHiIiIrB4DHiIiIrJ6DHiIiIjI6jHgISIiIqvHgIeIiIisHgMeIiIisnoMeIiIiMjqMeAhIiIiq8eAh4iIiKweAx4iIiKyegx4iIiICNbu/wFsnOeO1U+ULwAAAABJRU5ErkJggg==", + "image/png": "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", "text/plain": [ "
" ] @@ -354,29 +377,24 @@ } ], "source": [ + "\"\"\" plot fit of sample \"\"\"\n", "t_0 = 8 * ureg.hour\n", - "t_1 = 24 * ureg.hour\n", - "t_plot = 24 * ureg.hour\n", + "t_plot = 32 * ureg.hour\n", "idx_0 = pp.idx_from_t(sim_result.times, t_0)\n", - "idx_1 = pp.idx_from_t(sim_result.times, t_1)\n", "idx_plot = pp.idx_from_t(sim_result.times, t_plot)\n", "\n", - "popt,pcov = pp.fit_exp(sim_result.inventories_T2_salt, sim_result.times, t_0, t_1, phase=\"decay\")\n", - "tau, n0 = popt\n", - "print(f\"Fitted parameters: n0 = {n0:.2e}, tau = {tau.to('s'):.2f}\")\n", + "tau_exp = PP_data[\"tau_exp\"].values[idx] * ureg.second\n", + "n0 = sim_result.inventories_T2_salt[idx_0]\n", "\n", - "# fig, ax = plt.subplots(2,1, figsize=(10,8))\n", "fig,ax = plt.subplots(1,1)\n", - "ax.plot(sim_result.times[:idx_plot], sim_result.inventories_T2_salt[:idx_plot], label=\"T2 inventory\")\n", + "ax.plot(sim_result.times[:idx_plot+1], sim_result.inventories_T2_salt[:idx_plot+1], label=\"T2 inventory\")\n", "t_fit = np.linspace(8 * ureg.hour, t_plot, 100)\n", - "ax.plot(t_fit, n0 * np.exp(-(t_fit-t_0) / tau), label=\"Fitted exp decay\", linestyle=\"--\")\n", + "ax.plot(t_fit, n0 * np.exp(-(t_fit-t_0) / tau_exp), label=\"Fitted exp decay\", linestyle=\"--\")\n", "ax.legend()\n", "ax.xaxis.set_units(ureg.hour)\n", "ax.grid()\n", "\n", - "fig.suptitle(f\"sample {idx}, tau = {tau.to('s'):.2f}, n0={n0:.2e}\")\n", - "# ax[1].plot(sim_result.times[idx_0:idx_plot+1], sim_result.inventories_T2_salt[idx_0:idx_plot+1] - n0 * np.exp(-(sim_result.times[idx_0:idx_plot+1]-t_0) / tau), label=\"Error\")\n", - "# ax[1].xaxis.set_units(ureg.hour)" + "fig.suptitle(f\"sample {idx}, tau = {tau_exp.to('s'):.2f}, n0={n0:.2e}\")" ] } ], diff --git a/sensitivity.py b/sensitivity.py index 1b7ec6b..f19576c 100644 --- a/sensitivity.py +++ b/sensitivity.py @@ -39,6 +39,7 @@ outputs = [] t_irr = 8 * ureg.hour t_sparging = 7 * ureg.day +t_residual = 7 * ureg.day librapi = SimulationInput.from_parameters( LIBRA_PI_GEOM.copy(), @@ -47,39 +48,6 @@ LIBRA_PI_SPARGING_PARAMS.copy(), ) -# for i, (P, T) in enumerate(samples): -# librapi = SimulationInput.from_parameters( -# LIBRA_PI_GEOM.copy(), -# LIBRA_PI_MAT.copy(), -# replace(LIBRA_PI_OPERATING_PARAMS, temperature=T, P_top=P), -# LIBRA_PI_SPARGING_PARAMS.copy(), -# ) - -# tau = librapi.get_tau() -# librapi.signal_irr = lambda t: 1 if t <= t_irr else 0 -# librapi.signal_sparging = lambda t: 0 if t <= t_irr else 1 - -# my_simulation = Simulation( -# librapi, -# t_final=t_irr + t_sparging, -# ) -# print(f"Running simulation {i} with P={P}, T={T}, tau={tau.to('hour')}") -# outputs.append(my_simulation.solve(dt=8 * ureg.hour)) - -# get sim results from JSON file -# for i in range(len(samples)): -# outputs.append(SimulationResults.from_json(f"output_{i}.json")) - -# fig, ax = plt.subplots() -# residuals = [] - -# for i in range(len(outputs)): -# res = pp.get_residual_fraction( -# outputs[i].inventories_T2_salt, outputs[i].times, t_irr, t_irr + 1 * ureg.week -# ) -# residuals.append(res) -# print(res) - class SpargingProblem(Simulator): def __init__(self, parameters_range, output_names): @@ -91,12 +59,15 @@ def _forward(self, x: torch.Tensor) -> torch.Tensor: sim_input = librapi.copy() sim_input.h_l = np.power(10, x[0, 0].item()) * ureg("m/s") sim_input.eps_g = np.power(10, x[0, 1].item()) * ureg.dimensionless - sim_input.a = x[0, 2].item() * ureg("m**-1") + sim_input.a = np.power(10, x[0, 2].item()) * ureg("m**-1") sim_input.temperature = x[0, 3].item() * ureg.celsius sim_input.K_s = np.power(10, x[0, 4].item()) * ureg( "mol/m**3/Pa" ) # express in molT2 ? sim_input.u_g0 = x[0, 5].item() * ureg("m/s") + sim_input.E_l = np.power(10, x[0, 6].item()) * ureg("m^2/s") + sim_input.E_g = np.power(10, x[0, 7].item()) * ureg("m^2/s") + sim_input.P_bottom = x[0, 8].item() * ureg.bar sim_input.signal_irr = lambda t: 1 if t <= t_irr else 0 sim_input.signal_sparging = lambda t: 0 if t <= t_irr else 1 @@ -106,44 +77,68 @@ def _forward(self, x: torch.Tensor) -> torch.Tensor: sim_input, t_final=t_irr + t_sparging, ) - sim_output = full_model.solve(dt=0.2 * ureg.hour) + sim_output = full_model.solve(dt=1 * ureg.hour) sim_output.to_json( FOLDER_SAMPLES / f"sample_{self.counter}.json" - ) # for debugging + ) # for debugging and postprocessing self.counter += 1 residual_fraction = pp.get_residual_fraction( sim_output.inventories_T2_salt, sim_output.times, t_irr, - t_irr + 1 * ureg.week, + t_irr + t_sparging, + ) + tau_real = pp.get_tau_real( + sim_output.inventories_T2_salt, sim_output.times, t_0=t_irr + ) + (tau_exp, _), _ = pp.fit_exp( + sim_output.inventories_T2_salt, + sim_output.times, + t_0=t_irr, + t_end=t_irr + t_sparging, + phase="decay", + ) + + # for post processing + Pi = sim_input.get_Pi_number().to("dimensionless").magnitude + tau_ana = sim_input.get_tau() + PP_numbers.append( + [ + Pi, + tau_ana.to("s").magnitude, + tau_real.to("s").magnitude, + tau_exp.to("s").magnitude, + ] ) - PP_numbers.append(sim_input.get_PP_number().to("dimensionless").magnitude) y = torch.tensor( - [[np.log10(residual_fraction.magnitude)]], + [[np.log10(residual_fraction.magnitude), tau_exp.to("s").magnitude]], dtype=torch.float64, ) return y simulator = SpargingProblem( + parameters_range={ # realistic (wide) parameters range for LIBRA + "log(h_l)": tuple(np.log10((1e-7, 1e-4))), + "log(eps_g)": tuple(np.log10((1e-4, 2e-1))), + "log(a)": tuple(np.log10((1e-2, 1e2))), + "temperature": (450, 800), + "log(K_s)": tuple(np.log10((1e-7, 1e-3))), + "u_g0": (0.02, 0.4), + "E_l": tuple(np.log10((1e-3, 1e0))), + "E_g": tuple(np.log10((1e-4, 1e-1))), + "P_bottom": (1, 10), + }, # parameters_range={ - # "log(h_l)": tuple(np.log10((1e-6, 1e-4))), + # "log(h_l)": tuple(np.log10((1e-3, 1e-2))), # "log(eps_g)": tuple(np.log10((1e-4, 2e-1))), - # "a": (0.05, 0.5), - # "temperature": (450, 800), - # "log(K_s)": tuple(np.log10((1e-6, 1e-1))), - # "u_g0": (0.02, 0.4), + # "a": (0.05, 0.3), + # "temperature": (700, 800), + # "log(K_s)": tuple(np.log10((1e-3, 1e-1))), + # "u_g0": (0.02, 0.1), # }, - parameters_range={ - "log(h_l)": tuple(np.log10((1e-3, 1e-2))), - "log(eps_g)": tuple(np.log10((1e-4, 2e-1))), - "a": (0.05, 0.3), - "temperature": (700, 800), - "log(K_s)": tuple(np.log10((1e-3, 1e-1))), - "u_g0": (0.02, 0.1), - }, - output_names=["log(residual_1week)"], + output_names=[f"log(residual_{t_residual:.0f})", "tau_exp"], ) n_samples = 50 @@ -160,9 +155,9 @@ def _forward(self, x: torch.Tensor) -> torch.Tensor: pd.DataFrame(X, columns=simulator.param_names).to_csv( FOLDER / "simulator_inputs.csv", index=False ) -pd.DataFrame(PP_numbers, columns=["PP_number"]).to_csv( - FOLDER / "PP_numbers.csv", index=False -) +pd.DataFrame( + PP_numbers, columns=["PP_number", "tau_ana", "tau_real", "tau_exp"] +).to_csv(FOLDER / "PP_numbers.csv", index=False) # Run AutoEmulate with default settings ae = AutoEmulate(X, Y, log_level="WARNING") diff --git a/sparging101.py b/sparging101.py index 298b3de..a86f7ff 100644 --- a/sparging101.py +++ b/sparging101.py @@ -31,7 +31,7 @@ ) tau = my_input.get_tau().to("seconds") print(f"tau = {tau.to('hours')}") -print(f"Partial pressure number PP = {my_input.get_PP_number()}") +print(f"Partial pressure number PP = {my_input.get_Pi_number()}") def profile_source_T(z: pint.Quantity | list[float], height: pint.Quantity = None): diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index c94bc7e..8e84e5e 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -92,7 +92,9 @@ class SimulationInput: eps_g: pint.Quantity E_g: pint.Quantity E_l: pint.Quantity - D_l: pint.Quantity + D_l: ( + pint.Quantity + ) # TODO to remove, not used in the solver, only for correlations to calculate h_l Q_T: pint.Quantity signal_irr: Callable[[pint.Quantity], float] = lambda t: 1 """callable = f:R+ (time) -> [0,1] """ @@ -138,7 +140,7 @@ def get_tau(self) -> pint.Quantity: def get_c_T2_SS(self) -> pint.Quantity: return (self.get_S_T() * 1 / (self.h_l * self.a)).to("molT2/m^3") - def get_PP_number(self) -> pint.Quantity: + def get_Pi_number(self) -> pint.Quantity: """Partial pressure number, ratio of the equivalent T concentration at liquid boundary to the bulk liquid concentration. If PP << 1, then we are in the small partial pressure (SPP) regime, and if PP ~= 1, then we are in the partial pressure limited (PPL) regime. """ diff --git a/src/sparging/postprocess.py b/src/sparging/postprocess.py index 50dc531..2208204 100644 --- a/src/sparging/postprocess.py +++ b/src/sparging/postprocess.py @@ -4,6 +4,9 @@ import numpy as np import warnings from scipy.optimize import curve_fit +import logging + +logger = logging.getLogger(__name__) if TYPE_CHECKING: import pint @@ -67,7 +70,7 @@ def fit_exp( t_0: pint.Quantity, t_end: pint.Quantity, phase: str, -): # TODO add warning if error or std is too large +) -> tuple[tuple[pint.Quantity, pint.Quantity], tuple[pint.Quantity, pint.Quantity]]: """ - phase = 'decay' or 'rampup' """ @@ -85,7 +88,7 @@ def fitting_func(t, tau, n0): idx_end = idx_from_t(times, t_end) t_0 = times[idx_0] t_end = times[idx_end] - print( + logger.info( f"Fitting from t={t_0.to('hour')} to t={t_end.to('hour')} (indices {idx_0} to {idx_end})" ) tau_guess = 10000 * ureg.s @@ -99,6 +102,35 @@ def fitting_func(t, tau, n0): vec[idx_0 : idx_end + 1].magnitude, p0=[tau_guess.to("s").magnitude, n0_guess.magnitude], ) - print(f"std:{np.sqrt(np.diag(pcov))}") - return (popt[0] * ureg.s, popt[1] * vec.units), pcov + # check goodness of fit + tau_std = np.sqrt(pcov[0, 0]) + tau_rel_error = tau_std / popt[0] + if tau_rel_error > 0.005: + warnings.warn( + f"High relative error in fitted tau: {tau_rel_error:.4f}. Fit may be unreliable." + ) + # reattach units + return (popt[0] * ureg.s, popt[1] * vec.units), ( + pcov[0] * ureg.s, + pcov[1] * vec.units, + ) + + +def get_tau_real( + vec: np.ndarray[pint.Quantities], + times: np.ndarray[pint.Quantities], + t_0: pint.Quantity, +) -> pint.Quantity: + """ + To be distinguished from the time constant predicted from the model input parameters (tau analytical) + Get the time constant tau from an exponential decay curve by finding the time at which the value has decayed to 1/e of its initial value at t_0. + No exponential fit is performed here + """ + idx_0 = idx_from_t(times, t_0) + # Fit only the decay part + vec_decay = vec[idx_0:] + n0 = vec_decay[0] + idx_tau = np.argmin(np.abs(vec_decay - n0 / np.e)) + tau = times[idx_0 + idx_tau] - t_0 + return tau From 9a1700304200cd21767b8dcb7a2b9e6717522561 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Mon, 27 Apr 2026 12:26:17 -0400 Subject: [PATCH 103/121] Sensitivity analysis on low level parameters Co-authored-by: Copilot --- .gitignore | 3 +- LL_sensitivity.ipynb | 217 +++++++++++++++++++++++++++++++++++ LL_sensitivity.py | 148 ++++++++++++++++++++++++ src/sparging/correlations.py | 7 +- 4 files changed, 372 insertions(+), 3 deletions(-) create mode 100644 LL_sensitivity.ipynb create mode 100644 LL_sensitivity.py diff --git a/.gitignore b/.gitignore index 8dd4532..57941e3 100644 --- a/.gitignore +++ b/.gitignore @@ -207,7 +207,7 @@ __marimo__/ .vscode/ misc_scripts/ -training/ +datasets/ *.yaml *.csv mwe.py @@ -215,5 +215,6 @@ mwe.py !standard_input.json *.ipynb !sensitivity.ipynb +!LL_sensitivity.ipynb *.code-workspace *.pkl diff --git a/LL_sensitivity.ipynb b/LL_sensitivity.ipynb new file mode 100644 index 0000000..e48434e --- /dev/null +++ b/LL_sensitivity.ipynb @@ -0,0 +1,217 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "6e5dda97", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[(, ), (, ), (, ), (, ), (, )]\n" + ] + } + ], + "source": [ + "\"\"\" what range of gas flow rates fit the Kanai correlation for d_b? (3-10 cm3/s)\"\"\"\n", + "from sparging.config import ureg\n", + "import sparging.correlations as corr\n", + "import numpy as np\n", + "\n", + "ndots = np.linspace(40,400,5) * ureg.sccm\n", + "temps = np.array([450, 600, 700]) * ureg.K\n", + "vdots = corr.flow_g_vol.function(ndots, temps[2], 1*ureg.atm).to(\"cm**3/s\")\n", + "print([(ndot, vdot) for ndot, vdot in zip(ndots, vdots)])" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "60086475", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "from pathlib import Path\n", + "from sparging.config import ureg\n", + "\n", + "\n", + "FOLDER = Path(\"datasets/20260427_103531\")\n", + "\n", + "X = pd.read_csv(FOLDER / \"simulator_inputs.csv\")\n", + "Y = pd.read_csv(FOLDER / \"simulator_outputs.csv\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "12dd2beb", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "fig,axs = plt.subplots(2,2, figsize=(12,10))\n", + "PP_data = pd.read_csv(FOLDER / \"PP_numbers.csv\")\n", + "plt.sca(axs[0,0])\n", + "plt.hist(np.log10(PP_data[\"Pi\"].values), bins=20, edgecolor='black', alpha=0.7)\n", + "plt.vlines(np.log10(0.1), ymin=0, ymax=plt.gca().get_ylim()[1], colors=\"red\", linestyles=\"dashed\", label=\"SPP limit\")\n", + "plt.xlabel(\"log10(Pi)\")\n", + "plt.ylabel(\"# samples\")\n", + "plt.legend()\n", + "\n", + "axs[0,1].hist(np.log10(PP_data[\"tau\"].values), bins=20, edgecolor='black', alpha=0.7)\n", + "axs[0,1].set_xlabel(\"log10(tau)\")\n", + "axs[0,1].set_ylabel(\"# samples\")\n", + "\n", + "axs[1,0].hist(np.log10(PP_data[\"h_l\"].values), bins=20, edgecolor='black', alpha=0.7)\n", + "axs[1,0].set_xlabel(\"log10(h_l)\")\n", + "axs[1,0].set_ylabel(\"# samples\")\n", + "\n", + "axs[1,1].hist(np.log10(PP_data[\"a\"].values), bins=20, edgecolor='black', alpha=0.7)\n", + "axs[1,1].set_xlabel(\"log10(a)\")\n", + "axs[1,1].set_ylabel(\"# samples\")\n", + "\n", + "plt.suptitle(f\"{FOLDER} - n={len(PP_data)}\")\n", + "plt.savefig(FOLDER / \"postprocessing\" / \"PI_distrib.png\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "3d23d941", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "95% confidence interval for tau: [0.66 13.90] day\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from scipy.stats import norm\n", + "\n", + "log_tau = np.log10(PP_data[\"tau\"].values)\n", + "weights = np.ones_like(log_tau) / len(log_tau)\n", + "plt.hist(log_tau, bins=40, edgecolor='black', alpha=0.7, density=True)\n", + "plt.xlabel(\"log10(tau)\")\n", + "plt.ylabel(\"density\")\n", + "\n", + "# tau_mean = np.mean(log_tau)\n", + "# tau_std = np.std(log_tau)\n", + "log_tau_mean, log_tau_std = norm.fit(log_tau)\n", + "x = np.linspace(log_tau.min(), log_tau.max(), 100)\n", + "\n", + "pdf = norm.pdf(x, log_tau_mean, log_tau_std)\n", + "\n", + "# # equivalent \n", + "# gaussian = (1/(log_tau_std * np.sqrt(2 * np.pi))) * np.exp(-0.5 * ((x - log_tau_mean) / log_tau_std) ** 2)\n", + "# np.allclose(pdf, gaussian)\n", + "\n", + "\n", + "plt.plot(x, pdf, color='red', label='Gaussian fit')\n", + "\n", + "log_tau_95 = [log_tau_mean - 1.96*log_tau_std, log_tau_mean + 1.96*log_tau_std]\n", + "\n", + "plt.vlines(log_tau_95, ymin=0, ymax=plt.gca().get_ylim()[1], colors=\"green\", linestyles=\"dashed\", label=\"95% confidence\")\n", + "plt.legend()\n", + "\n", + "tau_95 = np.power(10,log_tau_95) * ureg.s\n", + "annotation = f\"time to remove 99% of the T inventory \\n(with 95% confidence): {np.log(100) * tau_95.to('days'):<5.2f}\"\n", + "plt.annotate(annotation, xy=(0.05, 0.99), xycoords='axes fraction', fontsize=10, verticalalignment='top')\n", + "\n", + "plt.suptitle(f\"{FOLDER} - n={len(PP_data)}\")\n", + "plt.savefig(FOLDER / \"postprocessing\" / \"tau_distribution_fitted.png\")\n", + "print(f\"95% confidence interval for tau: {tau_95.to('days'):<5.2f}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "196075aa", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "97c2440b", + "metadata": {}, + "outputs": [ + { + "ename": "KeyError", + "evalue": "'h_l_corr'", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mKeyError\u001b[39m Traceback (most recent call last)", + "\u001b[36mFile \u001b[39m\u001b[32m~/anaconda3/envs/autoemulate_env/lib/python3.12/site-packages/pandas/core/indexes/base.py:3641\u001b[39m, in \u001b[36mIndex.get_loc\u001b[39m\u001b[34m(self, key)\u001b[39m\n\u001b[32m 3640\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m3641\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_engine\u001b[49m\u001b[43m.\u001b[49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcasted_key\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 3642\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n", + "\u001b[36mFile \u001b[39m\u001b[32mpandas/_libs/index.pyx:168\u001b[39m, in \u001b[36mpandas._libs.index.IndexEngine.get_loc\u001b[39m\u001b[34m()\u001b[39m\n\u001b[32m--> \u001b[39m\u001b[32m168\u001b[39m \u001b[33m'Could not get source, probably due dynamically evaluated source code.'\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32mpandas/_libs/index.pyx:197\u001b[39m, in \u001b[36mpandas._libs.index.IndexEngine.get_loc\u001b[39m\u001b[34m()\u001b[39m\n\u001b[32m--> \u001b[39m\u001b[32m197\u001b[39m \u001b[33m'Could not get source, probably due dynamically evaluated source code.'\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32mpandas/_libs/hashtable_class_helper.pxi:7668\u001b[39m, in \u001b[36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[39m\u001b[34m()\u001b[39m\n\u001b[32m-> \u001b[39m\u001b[32m7668\u001b[39m \u001b[33m'Could not get source, probably due dynamically evaluated source code.'\u001b[39m\n", + "\u001b[36mFile \u001b[39m\u001b[32mpandas/_libs/hashtable_class_helper.pxi:7676\u001b[39m, in \u001b[36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[39m\u001b[34m()\u001b[39m\n\u001b[32m-> \u001b[39m\u001b[32m7676\u001b[39m \u001b[33m'Could not get source, probably due dynamically evaluated source code.'\u001b[39m\n", + "\u001b[31mKeyError\u001b[39m: 'h_l_corr'", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[31mKeyError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[5]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m plt.hist(PP_data[\u001b[33m\"h_l_corr\"\u001b[39m], bins=[-\u001b[32m0.1\u001b[39m,\u001b[32m0.1\u001b[39m,\u001b[32m0.9\u001b[39m,\u001b[32m1.1\u001b[39m,\u001b[32m1.9\u001b[39m,\u001b[32m2.1\u001b[39m], edgecolor=\u001b[33m'black'\u001b[39m, alpha=\u001b[32m0.7\u001b[39m)\n\u001b[32m 2\u001b[39m plt.xlabel(\u001b[33m\"h_l correlation index\"\u001b[39m)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/anaconda3/envs/autoemulate_env/lib/python3.12/site-packages/pandas/core/frame.py:4378\u001b[39m, in \u001b[36mDataFrame.__getitem__\u001b[39m\u001b[34m(self, key)\u001b[39m\n\u001b[32m 4374\u001b[39m \n\u001b[32m 4375\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m is_single_key:\n\u001b[32m 4376\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m self.columns.nlevels > \u001b[32m1\u001b[39m:\n\u001b[32m 4377\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m self._getitem_multilevel(key)\n\u001b[32m-> \u001b[39m\u001b[32m4378\u001b[39m indexer = self.columns.get_loc(key)\n\u001b[32m 4379\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m is_integer(indexer):\n\u001b[32m 4380\u001b[39m indexer = [indexer]\n\u001b[32m 4381\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/anaconda3/envs/autoemulate_env/lib/python3.12/site-packages/pandas/core/indexes/base.py:3648\u001b[39m, in \u001b[36mIndex.get_loc\u001b[39m\u001b[34m(self, key)\u001b[39m\n\u001b[32m 3643\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(casted_key, \u001b[38;5;28mslice\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m (\n\u001b[32m 3644\u001b[39m \u001b[38;5;28misinstance\u001b[39m(casted_key, abc.Iterable)\n\u001b[32m 3645\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28many\u001b[39m(\u001b[38;5;28misinstance\u001b[39m(x, \u001b[38;5;28mslice\u001b[39m) \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m casted_key)\n\u001b[32m 3646\u001b[39m ):\n\u001b[32m 3647\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m InvalidIndexError(key) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01merr\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m3648\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01merr\u001b[39;00m\n\u001b[32m 3649\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[32m 3650\u001b[39m \u001b[38;5;66;03m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[32m 3651\u001b[39m \u001b[38;5;66;03m# InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[32m 3652\u001b[39m \u001b[38;5;66;03m# the TypeError.\u001b[39;00m\n\u001b[32m 3653\u001b[39m \u001b[38;5;28mself\u001b[39m._check_indexing_error(key)\n", + "\u001b[31mKeyError\u001b[39m: 'h_l_corr'" + ] + } + ], + "source": [ + "plt.hist(PP_data[\"h_l_corr\"], bins=[-0.1,0.1,0.9,1.1,1.9,2.1], edgecolor='black', alpha=0.7)\n", + "plt.xlabel(\"h_l correlation index\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "autoemulate_env", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/LL_sensitivity.py b/LL_sensitivity.py new file mode 100644 index 0000000..89f1ec6 --- /dev/null +++ b/LL_sensitivity.py @@ -0,0 +1,148 @@ +from datetime import datetime +from pathlib import Path + +from sparging.inputs import ( + LIBRA_PI_GEOM, + LIBRA_PI_MAT, + LIBRA_PI_OPERATING_PARAMS, + LIBRA_PI_SPARGING_PARAMS, + SimulationInput, +) +from sparging.config import ureg +from sparging.correlations import all_correlations, CorrelationType + +import logging + +from autoemulate.simulations.base import Simulator +from autoemulate import AutoEmulate +from autoemulate.core.sensitivity_analysis import SensitivityAnalysis + +import torch +import pandas as pd +import json + + +logger = logging.getLogger(__name__) +logging.basicConfig(level=logging.WARNING) + +FOLDER = Path("datasets") / datetime.now().strftime("%Y%m%d_%H%M%S") +FOLDER.mkdir(exist_ok=True, parents=True) +FOLDER_SAMPLES = FOLDER / "samples" +FOLDER_SAMPLES.mkdir(exist_ok=True, parents=True) +FOLDER_PP = FOLDER / "postprocessing" +FOLDER_PP.mkdir(exist_ok=True) + +outputs = [] +h_l_corrs = all_correlations.get_list(CorrelationType.MASS_TRANSFER_COEFF) + + +class SpargingProblem(Simulator): + def __init__(self, parameters_range, output_names): + self.counter = 0 + super().__init__(parameters_range, output_names) + + def _forward(self, x: torch.Tensor) -> torch.Tensor: + # construct simulation input + LIBRA_PI_OPERATING_PARAMS.temperature = x[0, 0].item() * ureg.celsius + LIBRA_PI_OPERATING_PARAMS.P_top = x[0, 1].item() * ureg.bar + LIBRA_PI_OPERATING_PARAMS.flow_g_mol = x[0, 2].item() * ureg.sccm + LIBRA_PI_GEOM.nozzle_diameter = x[0, 3].item() * ureg.m + LIBRA_PI_SPARGING_PARAMS.h_l = h_l_corrs[int(x[0, 4].item())] + # breakpoint() + + sim_input = SimulationInput.from_parameters( + LIBRA_PI_GEOM, + LIBRA_PI_MAT, + LIBRA_PI_OPERATING_PARAMS, + LIBRA_PI_SPARGING_PARAMS, + ) + tau = sim_input.get_tau() + h_l = sim_input.h_l + a = sim_input.a + eps_g = sim_input.eps_g + sim_input.to_json( + FOLDER_SAMPLES / f"sample_{self.counter}.json" + ) # for debugging and postprocessing + self.counter += 1 + + # for post processing + Pi = sim_input.get_Pi_number().to("dimensionless").magnitude + PP_numbers.append( + [ + Pi, + tau.to("s").magnitude, + h_l.to("m/s").magnitude, + a.to("1/m").magnitude, + eps_g.to("dimensionless").magnitude, + int(x[0, 4].item()), + ] + ) + y = torch.tensor( + [[tau.to("s").magnitude]], + dtype=torch.float64, + ) + return y + + +simulator = SpargingProblem( + parameters_range={ # realistic (wide) parameters range for LIBRA + "temperature": (450, 800), # celsius + "P_top": (1, 5), # bar + "flow_g_mol": (40, 400), # sccm + "nozzle_diameter": (0.5e-3, 10e-3), # m + "h_l_corr": (0, len(h_l_corrs)), + }, + output_names=["tau"], +) + +n_samples = 5000 + +X = simulator.sample_inputs(n_samples) + +PP_numbers = [] +Y, _ = simulator.forward_batch(X, allow_failures=False) + +# save training data +pd.DataFrame(Y, columns=simulator.output_names).to_csv( + FOLDER / "simulator_outputs.csv", index=False +) +pd.DataFrame(X, columns=simulator.param_names).to_csv( + FOLDER / "simulator_inputs.csv", index=False +) +pd.DataFrame(PP_numbers, columns=["Pi", "tau", "h_l", "a", "eps_g", "h_l_corr"]).to_csv( + FOLDER / "PP_data.csv", index=False +) + +# Run AutoEmulate with default settings +ae = AutoEmulate(X, Y, log_level="WARNING") +ae.summarise() + +# pick best model +emulator = ae.best_result() +print(f"Selected model: {emulator.model_name} with id: {emulator.id}") + +# The use_timestamp paramater ensures a new result is saved each time the save method is called +best_result_filepath = ae.save(emulator, FOLDER, use_timestamp=False) +print("Model and metadata saved to: ", best_result_filepath) + +ae.plot_preds( + emulator, + output_names=simulator.output_names, + fname=FOLDER_PP / "predictions.png", +) + + +# === Sensitivity analysis === +problem = { + "num_vars": simulator.in_dim, + "names": simulator.param_names, + "bounds": simulator.param_bounds, + "output_names": simulator.output_names, +} + +with open(FOLDER / "problem.json", "w") as f: + json.dump(problem, f, indent=4) + +sa = SensitivityAnalysis(emulator.model, problem=problem) +sobol_df = sa.run("sobol") +sa.plot_sobol(sobol_df, index="ST", fname=FOLDER_PP / "sobol.png") diff --git a/src/sparging/correlations.py b/src/sparging/correlations.py index e8f4c0c..4c19605 100644 --- a/src/sparging/correlations.py +++ b/src/sparging/correlations.py @@ -91,6 +91,9 @@ def __contains__(self, key: str | Correlation): f"Type not valid for correlation group membership check, expected str or Correlation, got {type(key)}" ) + def get_list(self, corr_type: CorrelationType) -> list[Correlation]: + return [corr for corr in self if corr.corr_type == corr_type] + all_correlations = CorrelationGroup([]) @@ -270,8 +273,8 @@ def __contains__(self, key: str | Correlation): h_l_higbie = Correlation( identifier="h_l_higbie", - function=lambda D_l, u_g, d_b: get_h_higbie( - D_l=D_l, u_g=u_g, d_b=d_b + function=lambda D_l, u_g0, d_b: get_h_higbie( + D_l=D_l, u_g=u_g0, d_b=d_b ), # mass transfer coefficient with Higbie correlation corr_type=CorrelationType.MASS_TRANSFER_COEFF, source="Higbie 1935", From 00bdaacf1fb96a813f6765e2efe6698f39e54541 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Mon, 27 Apr 2026 16:21:05 -0400 Subject: [PATCH 104/121] more postprocessing for low level sensitivity analysis --- LL_sensitivity.ipynb | 145 ++++++++++++++++++++++++++++++++----------- LL_sensitivity.py | 56 +++++++++-------- 2 files changed, 138 insertions(+), 63 deletions(-) diff --git a/LL_sensitivity.ipynb b/LL_sensitivity.ipynb index e48434e..fee07c4 100644 --- a/LL_sensitivity.ipynb +++ b/LL_sensitivity.ipynb @@ -1,5 +1,14 @@ { "cells": [ + { + "cell_type": "markdown", + "id": "1e290ac2", + "metadata": {}, + "source": [ + "Low level sensitivity analysis:\n", + "- Performs analysis of data generated by [LL_sensitivity.py](LL_sensitivity.py), varying low level parameters (temperature, pressure, nozzle gas flow rate, nozzle diameter)" + ] + }, { "cell_type": "code", "execution_count": 1, @@ -38,7 +47,7 @@ "from sparging.config import ureg\n", "\n", "\n", - "FOLDER = Path(\"datasets/20260427_103531\")\n", + "FOLDER = Path(\"datasets/20260427_144922\")\n", "\n", "X = pd.read_csv(FOLDER / \"simulator_inputs.csv\")\n", "Y = pd.read_csv(FOLDER / \"simulator_outputs.csv\")" @@ -46,15 +55,15 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 29, "id": "12dd2beb", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -65,8 +74,8 @@ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", - "fig,axs = plt.subplots(2,2, figsize=(12,10))\n", - "PP_data = pd.read_csv(FOLDER / \"PP_numbers.csv\")\n", + "fig,axs = plt.subplots(3,2, figsize=(12,10))\n", + "PP_data = pd.read_csv(FOLDER / \"PP_data.csv\")\n", "plt.sca(axs[0,0])\n", "plt.hist(np.log10(PP_data[\"Pi\"].values), bins=20, edgecolor='black', alpha=0.7)\n", "plt.vlines(np.log10(0.1), ymin=0, ymax=plt.gca().get_ylim()[1], colors=\"red\", linestyles=\"dashed\", label=\"SPP limit\")\n", @@ -86,13 +95,17 @@ "axs[1,1].set_xlabel(\"log10(a)\")\n", "axs[1,1].set_ylabel(\"# samples\")\n", "\n", + "axs[2,0].hist(np.log10(PP_data[\"eps_g\"].values), bins=20, edgecolor='black', alpha=0.7)\n", + "axs[2,0].set_xlabel(\"log10(eps_g)\")\n", + "axs[2,0].set_ylabel(\"# samples\")\n", + "\n", "plt.suptitle(f\"{FOLDER} - n={len(PP_data)}\")\n", - "plt.savefig(FOLDER / \"postprocessing\" / \"PI_distrib.png\")" + "plt.savefig(FOLDER / \"postprocessing\" / \"distributions.png\")" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 21, "id": "3d23d941", "metadata": {}, "outputs": [ @@ -100,12 +113,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "95% confidence interval for tau: [0.66 13.90] day\n" + "95% confidence interval for tau: [0.10 72.62] day\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -118,7 +131,6 @@ "from scipy.stats import norm\n", "\n", "log_tau = np.log10(PP_data[\"tau\"].values)\n", - "weights = np.ones_like(log_tau) / len(log_tau)\n", "plt.hist(log_tau, bins=40, edgecolor='black', alpha=0.7, density=True)\n", "plt.xlabel(\"log10(tau)\")\n", "plt.ylabel(\"density\")\n", @@ -153,43 +165,104 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 28, + "id": "66ad0899", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "log_tau_malara = [log_tau[i] for i in range(len(log_tau)) if PP_data[\"h_l_corr\"].values[i] == \"h_l_malara\"]\n", + "log_tau_higbie = [log_tau[i] for i in range(len(log_tau)) if PP_data[\"h_l_corr\"].values[i] == \"h_l_higbie\"]\n", + "log_tau_briggs = [log_tau[i] for i in range(len(log_tau)) if PP_data[\"h_l_corr\"].values[i] == \"h_l_briggs\"]\n", + "\n", + "plt.hist([log_tau_briggs,log_tau_malara, log_tau_higbie], bins=40, edgecolor='black', alpha=0.7,\n", + " density=True, label=[\"briggs\",\"malara\", \"higbie\", ], stacked=True)\n", + "plt.xlabel(\"log10(tau)\")\n", + "plt.ylabel(\"density\")\n", + "\n", + "plt.legend()\n", + "\n", + "plt.suptitle(f\"{FOLDER} - n={len(PP_data)}\")\n", + "plt.savefig(FOLDER / \"postprocessing\" / \"tau_distribution_correlation.png\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, "id": "196075aa", "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "x_name = \"temperature\"\n", + "y_name = \"flow_g_mol\"\n", + "c_name = \"tau\"\n", + "Y_plot = np.log10(Y[c_name])\n", + "\n", + "fig,axs = plt.subplots(1,1, figsize=(8,6))\n", + "plt.sca(axs)\n", + "plt.scatter(X[x_name], X[y_name], c=Y_plot, cmap=\"viridis\", vmin=Y_plot.min(), vmax=Y_plot.max())\n", + "\n", + "plt.title(f\"{FOLDER} - log10({c_name})\")\n", + "\n", + "plt.xlabel(x_name)\n", + "plt.ylabel(y_name)\n", + "plt.colorbar(cax=fig.add_axes([0.92, 0.15, 0.01, 0.7]))\n", + "\n", + "plt.savefig(FOLDER / \"postprocessing\" / \"scatter.png\")" + ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 10, "id": "97c2440b", "metadata": {}, "outputs": [ { - "ename": "KeyError", - "evalue": "'h_l_corr'", - "output_type": "error", - "traceback": [ - "\u001b[31m---------------------------------------------------------------------------\u001b[39m", - "\u001b[31mKeyError\u001b[39m Traceback (most recent call last)", - "\u001b[36mFile \u001b[39m\u001b[32m~/anaconda3/envs/autoemulate_env/lib/python3.12/site-packages/pandas/core/indexes/base.py:3641\u001b[39m, in \u001b[36mIndex.get_loc\u001b[39m\u001b[34m(self, key)\u001b[39m\n\u001b[32m 3640\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m3641\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_engine\u001b[49m\u001b[43m.\u001b[49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcasted_key\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 3642\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n", - "\u001b[36mFile \u001b[39m\u001b[32mpandas/_libs/index.pyx:168\u001b[39m, in \u001b[36mpandas._libs.index.IndexEngine.get_loc\u001b[39m\u001b[34m()\u001b[39m\n\u001b[32m--> \u001b[39m\u001b[32m168\u001b[39m \u001b[33m'Could not get source, probably due dynamically evaluated source code.'\u001b[39m\n", - "\u001b[36mFile \u001b[39m\u001b[32mpandas/_libs/index.pyx:197\u001b[39m, in \u001b[36mpandas._libs.index.IndexEngine.get_loc\u001b[39m\u001b[34m()\u001b[39m\n\u001b[32m--> \u001b[39m\u001b[32m197\u001b[39m \u001b[33m'Could not get source, probably due dynamically evaluated source code.'\u001b[39m\n", - "\u001b[36mFile \u001b[39m\u001b[32mpandas/_libs/hashtable_class_helper.pxi:7668\u001b[39m, in \u001b[36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[39m\u001b[34m()\u001b[39m\n\u001b[32m-> \u001b[39m\u001b[32m7668\u001b[39m \u001b[33m'Could not get source, probably due dynamically evaluated source code.'\u001b[39m\n", - "\u001b[36mFile \u001b[39m\u001b[32mpandas/_libs/hashtable_class_helper.pxi:7676\u001b[39m, in \u001b[36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[39m\u001b[34m()\u001b[39m\n\u001b[32m-> \u001b[39m\u001b[32m7676\u001b[39m \u001b[33m'Could not get source, probably due dynamically evaluated source code.'\u001b[39m\n", - "\u001b[31mKeyError\u001b[39m: 'h_l_corr'", - "\nThe above exception was the direct cause of the following exception:\n", - "\u001b[31mKeyError\u001b[39m Traceback (most recent call last)", - "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[5]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m plt.hist(PP_data[\u001b[33m\"h_l_corr\"\u001b[39m], bins=[-\u001b[32m0.1\u001b[39m,\u001b[32m0.1\u001b[39m,\u001b[32m0.9\u001b[39m,\u001b[32m1.1\u001b[39m,\u001b[32m1.9\u001b[39m,\u001b[32m2.1\u001b[39m], edgecolor=\u001b[33m'black'\u001b[39m, alpha=\u001b[32m0.7\u001b[39m)\n\u001b[32m 2\u001b[39m plt.xlabel(\u001b[33m\"h_l correlation index\"\u001b[39m)\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/anaconda3/envs/autoemulate_env/lib/python3.12/site-packages/pandas/core/frame.py:4378\u001b[39m, in \u001b[36mDataFrame.__getitem__\u001b[39m\u001b[34m(self, key)\u001b[39m\n\u001b[32m 4374\u001b[39m \n\u001b[32m 4375\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m is_single_key:\n\u001b[32m 4376\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m self.columns.nlevels > \u001b[32m1\u001b[39m:\n\u001b[32m 4377\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m self._getitem_multilevel(key)\n\u001b[32m-> \u001b[39m\u001b[32m4378\u001b[39m indexer = self.columns.get_loc(key)\n\u001b[32m 4379\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m is_integer(indexer):\n\u001b[32m 4380\u001b[39m indexer = [indexer]\n\u001b[32m 4381\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n", - "\u001b[36mFile \u001b[39m\u001b[32m~/anaconda3/envs/autoemulate_env/lib/python3.12/site-packages/pandas/core/indexes/base.py:3648\u001b[39m, in \u001b[36mIndex.get_loc\u001b[39m\u001b[34m(self, key)\u001b[39m\n\u001b[32m 3643\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(casted_key, \u001b[38;5;28mslice\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m (\n\u001b[32m 3644\u001b[39m \u001b[38;5;28misinstance\u001b[39m(casted_key, abc.Iterable)\n\u001b[32m 3645\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28many\u001b[39m(\u001b[38;5;28misinstance\u001b[39m(x, \u001b[38;5;28mslice\u001b[39m) \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m casted_key)\n\u001b[32m 3646\u001b[39m ):\n\u001b[32m 3647\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m InvalidIndexError(key) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01merr\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m3648\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01merr\u001b[39;00m\n\u001b[32m 3649\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[32m 3650\u001b[39m \u001b[38;5;66;03m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[32m 3651\u001b[39m \u001b[38;5;66;03m# InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[32m 3652\u001b[39m \u001b[38;5;66;03m# the TypeError.\u001b[39;00m\n\u001b[32m 3653\u001b[39m \u001b[38;5;28mself\u001b[39m._check_indexing_error(key)\n", - "\u001b[31mKeyError\u001b[39m: 'h_l_corr'" - ] + "data": { + "text/plain": [ + "Text(0.5, 0, 'h_l correlation used')" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "plt.hist(PP_data[\"h_l_corr\"], bins=[-0.1,0.1,0.9,1.1,1.9,2.1], edgecolor='black', alpha=0.7)\n", - "plt.xlabel(\"h_l correlation index\")" + "plt.hist(PP_data[\"h_l_corr\"], edgecolor='black', alpha=0.7)\n", + "plt.xlabel(\"h_l correlation used\")" ] } ], diff --git a/LL_sensitivity.py b/LL_sensitivity.py index 89f1ec6..74d1c7d 100644 --- a/LL_sensitivity.py +++ b/LL_sensitivity.py @@ -21,6 +21,7 @@ import pandas as pd import json +COMPUTE_SOBOL = False logger = logging.getLogger(__name__) logging.basicConfig(level=logging.WARNING) @@ -60,9 +61,9 @@ def _forward(self, x: torch.Tensor) -> torch.Tensor: h_l = sim_input.h_l a = sim_input.a eps_g = sim_input.eps_g - sim_input.to_json( - FOLDER_SAMPLES / f"sample_{self.counter}.json" - ) # for debugging and postprocessing + # sim_input.to_json( + # FOLDER_SAMPLES / f"sample_{self.counter}.json" + # ) # for debugging and postprocessing self.counter += 1 # for post processing @@ -74,7 +75,7 @@ def _forward(self, x: torch.Tensor) -> torch.Tensor: h_l.to("m/s").magnitude, a.to("1/m").magnitude, eps_g.to("dimensionless").magnitude, - int(x[0, 4].item()), + LIBRA_PI_SPARGING_PARAMS.h_l.identifier, ] ) y = torch.tensor( @@ -113,26 +114,7 @@ def _forward(self, x: torch.Tensor) -> torch.Tensor: FOLDER / "PP_data.csv", index=False ) -# Run AutoEmulate with default settings -ae = AutoEmulate(X, Y, log_level="WARNING") -ae.summarise() - -# pick best model -emulator = ae.best_result() -print(f"Selected model: {emulator.model_name} with id: {emulator.id}") - -# The use_timestamp paramater ensures a new result is saved each time the save method is called -best_result_filepath = ae.save(emulator, FOLDER, use_timestamp=False) -print("Model and metadata saved to: ", best_result_filepath) - -ae.plot_preds( - emulator, - output_names=simulator.output_names, - fname=FOLDER_PP / "predictions.png", -) - - -# === Sensitivity analysis === +# sensitivity analysis problem problem = { "num_vars": simulator.in_dim, "names": simulator.param_names, @@ -143,6 +125,26 @@ def _forward(self, x: torch.Tensor) -> torch.Tensor: with open(FOLDER / "problem.json", "w") as f: json.dump(problem, f, indent=4) -sa = SensitivityAnalysis(emulator.model, problem=problem) -sobol_df = sa.run("sobol") -sa.plot_sobol(sobol_df, index="ST", fname=FOLDER_PP / "sobol.png") +if COMPUTE_SOBOL: + # Run AutoEmulate with default settings + ae = AutoEmulate(X, Y, log_level="WARNING", models=["GaussianProcessRBF"]) + ae.summarise() + + # pick best model + emulator = ae.best_result() + print(f"Selected model: {emulator.model_name} with id: {emulator.id}") + + # The use_timestamp paramater ensures a new result is saved each time the save method is called + best_result_filepath = ae.save(emulator, FOLDER, use_timestamp=False) + print("Model and metadata saved to: ", best_result_filepath) + + ae.plot_preds( + emulator, + output_names=simulator.output_names, + fname=FOLDER_PP / "predictions.png", + ) + + # === Sensitivity analysis === + sa = SensitivityAnalysis(emulator.model, problem=problem) + sobol_df = sa.run("sobol") + sa.plot_sobol(sobol_df, index="ST", fname=FOLDER_PP / "sobol.png") From 71bbddeb7ae0a713ce697f244d1b997423f00523 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Mon, 27 Apr 2026 16:21:37 -0400 Subject: [PATCH 105/121] environment --- autoemulate_env.yml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/autoemulate_env.yml b/autoemulate_env.yml index f2c07c9..a4b4fc8 100644 --- a/autoemulate_env.yml +++ b/autoemulate_env.yml @@ -12,4 +12,5 @@ dependencies: - pandas - pint - pip: - - autoemulate \ No newline at end of file + - autoemulate + - pyvis From 2e7af316c4ad997dd65ca0b75bb057922b7f3127 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Mon, 27 Apr 2026 18:09:19 -0400 Subject: [PATCH 106/121] implemented networkx graph in input.py (graph search algo) Co-authored-by: Copilot --- .gitignore | 1 + src/sparging/inputs.py | 69 +++++++++++++++++++++++++---------- test/test_simulation_input.py | 4 +- test_graph.py | 62 +++++++++++++++++++++++++++++++ 4 files changed, 114 insertions(+), 22 deletions(-) create mode 100644 test_graph.py diff --git a/.gitignore b/.gitignore index 57941e3..89fbb33 100644 --- a/.gitignore +++ b/.gitignore @@ -218,3 +218,4 @@ mwe.py !LL_sensitivity.ipynb *.code-workspace *.pkl +*.html diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index 8e84e5e..4f8deea 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -9,6 +9,7 @@ from sparging.config import ureg, const_R from collections.abc import Callable from types import MappingProxyType +import networkx as nx logger = logging.getLogger(__name__) @@ -175,19 +176,25 @@ def from_parameters( breeder_material: BreederMaterial, operating_params: OperatingParameters, sparging_params: SpargingParameters, + graph: nx.Graph | None = None, ): + """ + - graph: optional, if want to visualize how the input was constructed + """ input_objects = [ column_geometry, breeder_material, operating_params, sparging_params, ] - resolved_parameters = {} + discovered_graph = nx.Graph() if graph is None else graph for required_key in cls.required_keys: - find_in_graph(required_key, resolved_parameters, graph=input_objects) + find_in_graph(required_key, discovered_graph, input_objs=input_objects) - return cls(**{arg: resolved_parameters[arg] for arg in cls.required_keys}) + return cls( + **{arg: discovered_graph.nodes[arg]["value"] for arg in cls.required_keys} + ) def __str__(self): return "\n\t".join( @@ -204,24 +211,24 @@ def copy(self): def find_in_graph( required_node: str, - discovered_nodes: dict, - graph: List[ + discovered_graph: nx.Graph, # change to Graph object + input_objs: List[ SpargingParameters | OperatingParameters | BreederMaterial | ColumnGeometry ], ) -> None: """Abstracts SimulationInput construction as a graph search problem. "Correlation" object are seen as a path to the corresponding node - required_node: parameter we want to obtain (e.g. h_l) - discovered_nodes: already discovered parameters as pint.Quantity - - graph: list of objects in which to search + - input_objs: list of objects in which to search - returns the updated discovered_nodes with the required_node added """ # first check if the required node is already discovered - if required_node in discovered_nodes: + if required_node in discovered_graph.nodes: logger.verbose(f"Found required node '{required_node}' in discovered nodes...") return # then check if the required node is given as input (either as a pint.Quantity or as a Correlation) - if (result := check_input(required_node, graph)) is None: + if (result := check_input(required_node, input_objs)) is None: # if it's not, look for default correlation if required_node in all_correlations: result = all_correlations(required_node) @@ -232,19 +239,30 @@ def find_in_graph( raise ValueError( f"Could not find path to required node '{required_node}' in the graph or in the default correlations" ) - if isinstance(result, Correlation): + if isinstance(result, pint.Quantity): + # value was given as input + discovered_graph.add_node(required_node, value=result, origin="input") + elif isinstance(result, Correlation): + # no value specified, get value from correlation + discovered_graph.add_node(required_node, origin=result.identifier) result = resolve_correlation( - corr=result, resolved_quantities=discovered_nodes, graph=graph - ) # also update discovered_nodes with the nodes possibly discovered during recursive search + node_id=required_node, + corr=result, + discovered_graph=discovered_graph, + input_objs=input_objs, + ) # also update discovered_graph with the nodes possibly discovered during recursive search + discovered_graph.nodes[required_node]["value"] = result assert isinstance(result, pint.Quantity), ( f"Result for required node '{required_node}' is not a pint.Quantity after resolution, got {result} of type {type(result)}" ) - discovered_nodes.update({required_node: result}) def check_input( - required_node: str, input_objs: list[object] + required_node: str, + input_objs: List[ + SpargingParameters | OperatingParameters | BreederMaterial | ColumnGeometry + ], ) -> pint.Quantity | Correlation | None: """look for pint.Quantity or Correlation given in input objects""" result = None @@ -254,12 +272,12 @@ def check_input( if isinstance(result, pint.Quantity): # required node was found logger.verbose( - f"Found Quantity for required node '{required_node}' in graph: {result}" + f"Found Quantity for required node '{required_node}' in input: {result}" ) break elif isinstance(result, Correlation): logger.verbose( - f"Found correlation for required node '{required_node}' in graph: {result.identifier}" + f"Found correlation for required node '{required_node}' in input: {result.identifier}" ) break else: @@ -270,21 +288,32 @@ def check_input( def resolve_correlation( - corr: Correlation, resolved_quantities: dict, graph: list[object] + node_id: str, + corr: Correlation, + discovered_graph: nx.Graph, + input_objs: List[ + SpargingParameters | OperatingParameters | BreederMaterial | ColumnGeometry + ], ) -> pint.Quantity: + """Recursively resolve a correlation by first resolving its arguments, then applying the correlation function to the resolved arguments. + - corr: Correlation object to resolve + - discovered_graph: graph containing already resolved quantities, to avoid redundant calculations and infinite recursion + - input_objs: list of objects in which to search for the arguments of the correlation + - returns the resolved value of the correlation as a pint.Quantity""" corr_args = inspect.signature(corr.function).parameters.keys() for arg in corr_args: logger.verbose( f"Resolving argument '{arg}' for correlation '{corr.identifier}'..." ) - find_in_graph(arg, resolved_quantities, graph) + find_in_graph(arg, discovered_graph, input_objs) + discovered_graph.add_edge(node_id, arg) - assert all(arg in resolved_quantities for arg in corr_args), ( + assert all(arg in discovered_graph.nodes for arg in corr_args), ( f"Could not resolve all arguments for correlation '{corr.identifier}'. " - f"Missing arguments: {[arg for arg in corr_args if arg not in resolved_quantities]}" + f"Missing arguments: {[arg for arg in corr_args if arg not in discovered_graph.nodes]}" ) - return corr(**{arg: resolved_quantities[arg] for arg in corr_args}) + return corr(**{arg: discovered_graph.nodes[arg]["value"] for arg in corr_args}) def get_sim_input_LIBRA_Pi() -> SimulationInput: diff --git a/test/test_simulation_input.py b/test/test_simulation_input.py index f669cc6..67c0756 100644 --- a/test/test_simulation_input.py +++ b/test/test_simulation_input.py @@ -140,7 +140,7 @@ def test_find_in_graph_result(in_discovered: bool): find_in_graph( "d_b", discovered_nodes=discovered_nodes, - graph=[geom, operating_params], + input_objs=[geom, operating_params], ) # TEST @@ -187,7 +187,7 @@ def test_find_in_graph_unresolvable(missing_param: str): find_in_graph( to_find, discovered_nodes={}, # no discovered nodes provided - graph=[ + input_objs=[ broken_geom, broken_op_params, ], # missing necessary parameters for d_b correlation diff --git a/test_graph.py b/test_graph.py new file mode 100644 index 0000000..6d4cacf --- /dev/null +++ b/test_graph.py @@ -0,0 +1,62 @@ +from sparging.inputs import ( + ColumnGeometry, + BreederMaterial, + OperatingParameters, + SpargingParameters, + find_in_graph, + check_input, + SimulationInput, +) +from sparging import all_correlations, ureg +from sparging.config import VERBOSE_LEVEL +import networkx as nx +from pyvis.network import Network +import logging + +logger = logging.getLogger(__name__) +logging.basicConfig(level=VERBOSE_LEVEL) + +geom = ColumnGeometry( + area=0.2 * ureg.m**2, + height=1.0 * ureg.m, + nozzle_diameter=0.001 * ureg.m, + nb_nozzle=10 * ureg.dimensionless, +) + +flibe = BreederMaterial( + name="FLiBe", +) + +operating_params = OperatingParameters( + temperature=600 * ureg.celsius, + P_top=1 * ureg.atm, + flow_g_mol=400 * ureg.sccm, + tbr=0.1 * ureg("triton / neutron"), + n_gen_rate=1e9 * ureg("neutron / s"), +) + +sparging_params = SpargingParameters( + h_l=all_correlations("h_l_briggs"), +) + +graph = nx.Graph() +# find_in_graph("drho", graph, [geom, flibe, operating_params, sparging_params]) + +# print("Nodes in graph:") +# for node in graph.nodes(data=True): +# print(node) + +my_input = SimulationInput.from_parameters( + column_geometry=geom, + breeder_material=flibe, + operating_params=operating_params, + sparging_params=sparging_params, + graph=graph, +) + +for node in graph.nodes: + graph.nodes[node]["value"] = str(graph.nodes[node]["value"]) + print(graph.nodes[node]) +net = Network() +net.from_nx(graph) +net.show("model_dependencies.html", notebook=False) From 46c20b4630ee1442f5ecf74a3110ce00227ee750 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 28 Apr 2026 15:21:32 -0400 Subject: [PATCH 107/121] 2nd order sobol study --- LL_sensitivity.ipynb | 26 +++++++++++++++++++++++--- LL_sensitivity.py | 3 ++- 2 files changed, 25 insertions(+), 4 deletions(-) diff --git a/LL_sensitivity.ipynb b/LL_sensitivity.ipynb index fee07c4..f21d498 100644 --- a/LL_sensitivity.ipynb +++ b/LL_sensitivity.ipynb @@ -37,7 +37,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "id": "60086475", "metadata": {}, "outputs": [], @@ -45,12 +45,32 @@ "import pandas as pd\n", "from pathlib import Path\n", "from sparging.config import ureg\n", + "from autoemulate import AutoEmulate\n", "\n", "\n", - "FOLDER = Path(\"datasets/20260427_144922\")\n", + "FOLDER = Path(\"datasets/20260427_103531\")\n", "\n", "X = pd.read_csv(FOLDER / \"simulator_inputs.csv\")\n", - "Y = pd.read_csv(FOLDER / \"simulator_outputs.csv\")" + "Y = pd.read_csv(FOLDER / \"simulator_outputs.csv\")\n", + "\n", + "model = AutoEmulate.load_model(\"datasets/20260427_103531/RadialBasisFunctions_2.joblib\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "523b5ae6", + "metadata": {}, + "outputs": [], + "source": [ + "import json\n", + "from autoemulate.core.sensitivity_analysis import SensitivityAnalysis\n", + "\n", + "problem = json.load(open(FOLDER / \"problem.json\"))\n", + "\n", + "sa = SensitivityAnalysis(model, problem=problem)\n", + "sobol_df = sa.run(\"sobol\")\n", + "# sa.plot_sobol(sobol_df, index=\"ST\", fname=FOLDER_PP / \"sobol.png\")" ] }, { diff --git a/LL_sensitivity.py b/LL_sensitivity.py index 74d1c7d..e1b2e0e 100644 --- a/LL_sensitivity.py +++ b/LL_sensitivity.py @@ -75,6 +75,7 @@ def _forward(self, x: torch.Tensor) -> torch.Tensor: h_l.to("m/s").magnitude, a.to("1/m").magnitude, eps_g.to("dimensionless").magnitude, + # sim_input.d_b.to("m").magnitude, LIBRA_PI_SPARGING_PARAMS.h_l.identifier, ] ) @@ -147,4 +148,4 @@ def _forward(self, x: torch.Tensor) -> torch.Tensor: # === Sensitivity analysis === sa = SensitivityAnalysis(emulator.model, problem=problem) sobol_df = sa.run("sobol") - sa.plot_sobol(sobol_df, index="ST", fname=FOLDER_PP / "sobol.png") + sa.plot_sobol(sobol_df, index="ST", fname=FOLDER_PP / "sobolTot.png") From f212ce89dd46133b79cf68443ce8b3d632549769 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 28 Apr 2026 17:10:16 -0400 Subject: [PATCH 108/121] merged with networkx branch: retrieve intermediate parameters from graph Co-authored-by: Copilot --- LL_sensitivity.ipynb | 96 +++++++++++++++++++++--------------- LL_sensitivity.py | 19 ++++--- src/sparging/correlations.py | 2 - src/sparging/inputs.py | 10 +++- 4 files changed, 76 insertions(+), 51 deletions(-) diff --git a/LL_sensitivity.ipynb b/LL_sensitivity.ipynb index f21d498..19b1e47 100644 --- a/LL_sensitivity.ipynb +++ b/LL_sensitivity.ipynb @@ -37,7 +37,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "60086475", "metadata": {}, "outputs": [], @@ -46,44 +46,54 @@ "from pathlib import Path\n", "from sparging.config import ureg\n", "from autoemulate import AutoEmulate\n", + "import json\n", "\n", - "\n", - "FOLDER = Path(\"datasets/20260427_103531\")\n", + "EMULATOR = False\n", + "FOLDER = Path(\"datasets/20260428_170316\")\n", "\n", "X = pd.read_csv(FOLDER / \"simulator_inputs.csv\")\n", "Y = pd.read_csv(FOLDER / \"simulator_outputs.csv\")\n", "\n", - "model = AutoEmulate.load_model(\"datasets/20260427_103531/RadialBasisFunctions_2.joblib\")" + "problem = json.load(open(FOLDER / \"problem.json\"))\n", + "\n", + "if EMULATOR:\n", + " model = AutoEmulate.load_model(\"datasets/20260427_103531/RadialBasisFunctions_2.joblib\")" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "523b5ae6", "metadata": {}, "outputs": [], "source": [ - "import json\n", - "from autoemulate.core.sensitivity_analysis import SensitivityAnalysis\n", + "if EMULATOR:\n", + " from autoemulate.core.sensitivity_analysis import SensitivityAnalysis\n", "\n", - "problem = json.load(open(FOLDER / \"problem.json\"))\n", + " # print(problem)\n", + "\n", + " sa = SensitivityAnalysis(model, problem=problem)\n", + " sobol_df = sa.run(\"sobol\")\n", + " list = []\n", + " for i,string in enumerate(sobol_df[\"parameter\"]):\n", + " list.append(str(string).replace(\"np.str_\",\"\").replace(\"'\", \"\").replace('(', \"\").replace(')', \"\").replace(', ', \"_\"))\n", "\n", - "sa = SensitivityAnalysis(model, problem=problem)\n", - "sobol_df = sa.run(\"sobol\")\n", - "# sa.plot_sobol(sobol_df, index=\"ST\", fname=FOLDER_PP / \"sobol.png\")" + " sa.plot_sobol(sobol_df, index=\"S1\", figsize=(10, 8), fname=FOLDER / \"postprocessing/sobol1.png\")\n", + " sa.plot_sobol(sobol_df, index=\"S2\", figsize=(10, 8), fname=FOLDER / \"postprocessing/sobol2.png\") \n", + " sa.plot_sobol(sobol_df, index=\"ST\", figsize=(10, 8), fname=FOLDER / \"postprocessing/sobolTot.png\")" ] }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 9, "id": "12dd2beb", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -94,7 +104,7 @@ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", - "fig,axs = plt.subplots(3,2, figsize=(12,10))\n", + "fig,axs = plt.subplots(4,2, figsize=(12,14))\n", "PP_data = pd.read_csv(FOLDER / \"PP_data.csv\")\n", "plt.sca(axs[0,0])\n", "plt.hist(np.log10(PP_data[\"Pi\"].values), bins=20, edgecolor='black', alpha=0.7)\n", @@ -115,17 +125,31 @@ "axs[1,1].set_xlabel(\"log10(a)\")\n", "axs[1,1].set_ylabel(\"# samples\")\n", "\n", + "# axs[2,0].hist((PP_data[\"eps_g\"].values), bins=20, edgecolor='black', alpha=0.7)\n", + "# axs[2,0].xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _: f\"{x*1e2:.3f}\"))\n", + "# axs[2,0].set_xlabel(\"eps_g [%]\")\n", "axs[2,0].hist(np.log10(PP_data[\"eps_g\"].values), bins=20, edgecolor='black', alpha=0.7)\n", "axs[2,0].set_xlabel(\"log10(eps_g)\")\n", "axs[2,0].set_ylabel(\"# samples\")\n", "\n", + "axs[2,1].hist((PP_data[\"d_b\"].values), bins=20, edgecolor='black', alpha=0.7)\n", + "axs[2,1].set_xlabel(\"d_b [mm]\")\n", + "axs[2,1].xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _: f\"{x*1e3:.2f}\"))\n", + "axs[2,1].set_ylabel(\"# samples\")\n", + "\n", + "axs[3,0].hist((PP_data[\"u_g0\"].values), bins=40, edgecolor='black', alpha=0.7)\n", + "axs[3,0].set_xlabel(\"u_g0\")\n", + "axs[3,0].set_ylabel(\"# samples\")\n", + "\n", + "fig.text(0.5,0.9,\"Input ranges:\\n\" + \"\\n\".join([f\"{param}: [{problem['bounds'][i][0]}, {problem['bounds'][i][1]}]\" for i, param in enumerate(problem[\"names\"])]), fontsize=10, ha='center', va='bottom',)\n", "plt.suptitle(f\"{FOLDER} - n={len(PP_data)}\")\n", - "plt.savefig(FOLDER / \"postprocessing\" / \"distributions.png\")" + "plt.savefig(FOLDER / \"postprocessing\" / \"distributions.png\")\n", + "plt.show()" ] }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 5, "id": "3d23d941", "metadata": {}, "outputs": [ @@ -133,12 +157,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "95% confidence interval for tau: [0.10 72.62] day\n" + "95% confidence interval for tau: [0.66 13.92] day\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -180,18 +204,19 @@ "\n", "plt.suptitle(f\"{FOLDER} - n={len(PP_data)}\")\n", "plt.savefig(FOLDER / \"postprocessing\" / \"tau_distribution_fitted.png\")\n", - "print(f\"95% confidence interval for tau: {tau_95.to('days'):<5.2f}\")\n" + "print(f\"95% confidence interval for tau: {tau_95.to('days'):<5.2f}\")\n", + "plt.show()" ] }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 6, "id": "66ad0899", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -213,18 +238,19 @@ "plt.legend()\n", "\n", "plt.suptitle(f\"{FOLDER} - n={len(PP_data)}\")\n", - "plt.savefig(FOLDER / \"postprocessing\" / \"tau_distribution_correlation.png\")\n" + "plt.savefig(FOLDER / \"postprocessing\" / \"tau_distribution_correlation.png\")\n", + "plt.show()" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 7, "id": "196075aa", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvgAAAIhCAYAAAA7E84EAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjgsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvwVt1zgAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzsXQec1NT2/jJ9ZntlYVl6770KqCCigIgFu9ix63v2Z+/PXp69KyqCiNJ77x2WtvSFLWzvO32S/+/cJDOZmczsolj/+fyN7GSSm5ubm5tTvnMOJwiCAA0aNGjQoEGDBg0aNPwjoPuzO6BBgwYNGjRo0KBBg4YzB03A16BBgwYNGjRo0KDhHwRNwNegQYMGDRo0aNCg4R8ETcDXoEGDBg0aNGjQoOEfBE3A16BBgwYNGjRo0KDhHwRNwNegQYMGDRo0aNCg4R8ETcDXoEGDBg0aNGjQoOEfBE3A16BBgwYNGjRo0KDhHwRNwNegQYMGDRo0aNCg4R8ETcDXoOF3wDPPPAOO437Vsd9//z3efvtt/FXwwQcf4KuvvvpNbfh8PqSnp+Ott95if7/55psYM2YMmjdvDpvNhs6dO+PRRx9FVVWV6vH/+9//0KlTJ5jNZrRu3RrPPvssPB5P0D6zZs3CVVddhXbt2sFqtaJVq1a45pprcPjwYdU26+vr8dRTT6FDhw6s3ZSUFJxzzjlh+9N56HzUHu1H/aD+NIRrr72WzYFx48YFbT916hSeeOIJDB48GKmpqYiPj0ffvn3xySefsLEJxc6dO3HxxRejWbNmbKzo/M899xzsdjtOB7W1tXj44YcxevRopKWlsb7RPI0Eum66T927d2fjmZiYiCFDhmDDhg1B+1E7ap///ve/QfudffbZEfelT1FRkX/fefPm4frrr2fnNhqNEZ8l+TmL9Pnhhx9wJtHQmJ0J7Nu3D3feeSebHzExMeycq1atirg/XWOvXr1gsVjYHLn//vtRV1enui/Nmy5duoDnefad5hBdT7T2zySuu+46Npc1aNDwB0DQoEHDGcfTTz8t/NrHa+zYsULLli2Fvwq6du0qjBgx4je1sWLFCjYeubm5Qm1trRAXFyfcdtttwo8//iisXLlSeOONN4SkpCShS5cugt1uDzr2hRdeEDiOEx577DG276uvviqYTCbh1ltvDdpvwIABwkUXXSR88cUXwqpVq4SpU6cKnTt3FmJjY4W9e/cG7Ut96Nevn9CsWTPh3XffZfvPnj1beOSRR4Rdu3YF7XvLLbcIZrOZnZfO/+ijj7L+vPjiixGvd968eUJMTIwQHx/P7qcSc+fOFbKysoTHH39cmD9/vrBkyRLhX//6l6DT6YQbb7wxaN99+/YJFotF6NmzpzB9+nRh+fLlbG7p9Xp2raeD48ePCwkJCcLw4cPZNdH9oLbU4PV6Wb9pf7pOum66pmeffZb1Vwlq57LLLhM2btwY9CkoKAi7ltB96HqMRqMwaNCgoH1vuukmoX379sKkSZOEvn37RnyW8vLywtqkT7du3QSr1SpUVlYKZxLRxuxM4auvvhKaNm0qXHjhhcL48ePZOWn81fDtt9+y3+l+0jP20UcfsXt23nnnhe1L94PmJD1zMkpLS/+Qa5Jx5MgRwWAwsPuuQYOG3xeagK9Bw+8ATcAPxp133skEall4LCsrCxszEjxI2CDBXAbtRwIuKQNKkNBJQjYJjTKKi4tVhRoSIG+++eag7ffddx8Tdo4ePRr1PpJiQOd56aWXgraTckECZHl5edgxVVVVQmZmpvDmm28yRS1UwK+oqBDcbnfYcXfddRe7/pMnT/q3kRJA20gwUoLGg7ZTW40Fz/Ps0xjB7q233mIKBwnLDYHaob7/WmGWjv/ss8+Ctvt8vrBxOR1Fhu7ZtddeK5xp/BHCsPLa5WdCTcCn54gUgdGjRwdt/+6779gxCxYsCNr+8MMPs3mpbP+PFvAJ48aNU1VANGjQcGahUXQ0aPiNmD9/PnORy/SR119/XXW/999/H8OHD2dUFXK9E/3g1VdfDaKaEI2B2jtx4kQQ1UAGUUUGDhyI5ORkRu3o06cPPv/8c5J+gs61YsUK1hbRTohe0aJFC1x66aVBtA63240XXnjBT30h2saNN96I0tJS/z5ESyHKwOrVq/19oW0EcvPT8R07dvRTOHr06IF33nknqC/Ut59//pmdn6DX61m/QjFgwAD2b15enn/bokWL4HQ6Wb+UoO/U7i+//OLfRuMaCqIsEA1I2SaNwWeffYbLL78cbdq0QTRQ+3QetfM7HA7Wv1A88MADaNq0Ke69917VNpOSkhjtJNL15+fn+7fJ+yUkJATtS2Ot0+lgMpnQWITOpWige0hzddCgQfg9QXM3NjYWV1xxRdB2urZfiy+++ILds1tuuQV/BPbu3YsJEyaw+0o0GVoLvv7667D96DkiehTRrOhZu+uuu9izHkrBaey1b9q0idG9QucmzWsaU3rmlM86jfXVV1/tbz83N5f1Q15X5Plxww03sG1Hjhxhbbdv3571OTMzE+PHj8eePXuCzkf0PTqO2lOCrkmNXkQ0nWXLluHo0aONuk4NGjT8OmgCvgYNvwHLly9nL/e4uDjGhX3ttdcwY8YMfPnll2H70guNXrBTp05lHOObb76Z7T9lypQgvvvQoUORkZGBjRs3+j8y6CVK+9M5iHN+ySWX4J577sHzzz8ftM/YsWOZ8EfCDgmhxIcmpYJe9LJwTv2m7dQnEjTo76VLlzLFgIRXAgkJJAT37t3b3xdZcCDlhPi7xHun46dPn86uKZRHT5xtEkRkAT8SSCkhdO3aNUh4IpAypAQJ0MRfl3+PhGPHjjFlSdnm9u3bGf+eBJc77riDCWY0Vv369WPXoQS1T0IQ3Q8lSJFR9k8GCS7ffPMNUyBIkTkd0PUbDAYWEyBj8uTJTJinftK1EI+e5s7HH3/MBES6p2capAzRHKIx/89//oMmTZqwftEYqgmuctwIKXmkKFI8gdr8DwXFOqxduxZXXnklE0jPBGhek8BJcRgjRozA742DBw+yuAQS3t999132TBLHnYRkej5k0Pyn/tD+H374IZsjdC/vvvvuX31uee7Jc1GpFJLSrpybmzdvRnl5OYsxUT5DsoJKz638fD/55JNsW2FhIVPEaV2g/chAQfOADAx0Hb8WtL6QArZgwYJf3YYGDRoagTPsEdCg4f8VBg4cyHjcDofDv62mpkZITk6OSisgN7nH4xG++eYbxqdWUi0ay8GX23juueeElJQUP/1i5syZ7NyhXHIlpk2bxvb56aefgrZv3bqVbf/ggw8a5OCTq71Xr14N9vP+++8XunfvHnWf/Px8oUmTJozGo6QQEBWG+O9q6NChQxg9QQkam7PPPpvx4JW0F/naafvQoUOFOXPmMH75Oeecw6gdixYt8u9LVIKOHTuqtk9xAErqEPH6W7VqxWIFZKhRdNSwePFiRokhLn4oDhw4IHTq1In1Wf7ce++9/vv9axCNmkG0HHl8KCZixowZrH/Es6ftn3zySdD+V199NaOFrFmzhs29Cy64gO33xBNPRO0DxTvQfg3RgE6HorNw4UK278svvyz8HggdsyuvvJLNT+X8ItAY2Gw2RtciPPTQQ2GUMsL5558flWMfjaJDNDX67dSpU2G/0XNBz4eMV155he1bVFQUtN/pUHSIEkTUMoqNUM7TL7/8krVB1CglqM+R+k5UoSuuuKLBc2rQoOHXQ7Pga9DwK0FW4K1btzIrOrnmZZA1n1zZatlQLrroImYVI+suWdooUwhlTjl06FCjrbyjRo1ilA25DcoEQ9a5kpIStg9RBMgifdtttzGLK1l+Q0FWYLIMUz+9Xq//Q8eStboxWTWIUrJ7926W8WPx4sWoqalR3Y+smtGs9xUVFbjwwguZVY+8AKEUhWi0kki/UVtklSQLMVlLs7Ky/L/JGURojBYuXMjGgDweNCZk1VR6Q07n/JQFSL4fp4MdO3Zg0qRJjA7z8ssvB/1GlnTqH82ZmTNnMqoUWYbJSv17UVDk8SFqFFlZifJB1BLyGhEljDKxKPHdd98xL9CwYcPYfaZjKHMQWX6VdC8laK7R3CSvwJmkARENhazMMs2kISjnPn1CqW6NeR5HjhwZNL8IdH6igsneN7pv3bp1Y9Z9Jcj79VsRaX4qt5M1nr6T16uxoPF46aWXWJ/pWaFxpX/J83LgwIHf1Gei0xUUFPymNjRo0BAdmoCvQcOvRGVlJROGQukbhNBtJ0+eZAIQvdSI30yCJykH5PYmyJSYaNiyZQsTtAiffvop1q9fz9p4/PHHg9po27Yto4rQS5RoHPSdPkpufHFxMaPS0AubhFLlh9IVlpWVNdifxx57jMUbEBf4ggsuYEIoCTvbtm0L6jNdeyQBn8bwvPPOY+NC9KBQTjy1SYKmWkpIUgwoFiEUMv/622+/ZYIwUZFC2yQQtYKUMRnEMyYaBQncyn1JeVJT7ojuJJ+frpPoVSR8U39pbOlD84MEJfrb5XKpKn10/UQXIsGYKC5KkNJAihMpUDSGxIt/6KGHWBpVol+R4HimIY8P0Txatmzp304C4vnnn89iBGRlMlqKULpu5VxQgq6V5tmZVFJozs6ZM4cpa2rPZChIeQqd+6c7njQ3SClUi/2Qf5f/JapTKNS2ne59Upufoc8GrQ10fadDG/v3v//N6DqU1nLu3LmM5kPrTc+ePRu1XkUDGUR+axsaNGiIDkMDv2vQoCECiLsdmr9bRug2CtYkoZCs2UqhadeuXY0eX+L400uaLM1Kj4Ey0FQGKRP0Ie8ACVmUt53yY5NAQZxnsuSRgKAWJEpQCr6RQBY9EgLoQwIsKRXE2SYhkHjcJDD/9NNPjFNO1ks14Z68EcePH2exDKFcYiX3ngL7iPsrQ1ZCQtuVhXvigJM1lwTNUKidR3m80oNA56dxp/MphUY50FA+//79+9mxEydODGuTxoLmCtUAoHugFO7p+mk+LFmyJCyQVp4fZEEN5dr379+f/Us86zPNNSdlkO6dGmQLd0OBoA3tR/eGlEsKuDxToNgWUroaqzSQEE4CqxIUMH46oGeI+PWhIIs5QbaY036kVIdCbe1oLJTPhtIzQIpVTk5OkHeA+kFjQ2tQY+M2SEEmDyNZ8ZWg5468fzLktShUgY1mJCAFRA7W16BBw+8DzYKvQcOvBL0oiaZCQjtZbWVQ8BxZvNTc5UoLLQlBZIkPBe2jZt2iNkioVlrhaD8SbCKB9iXBWPYUyNZpolCQ5Y8UAAouDf0oBZ1I/VGCXviXXXYZ8xjQy1vOqEECvpr1XhbuiT5Ewi0F8aqBimGRABFaaEvO3KEsmkPjeeuttzLhnoJQQ7OLyCCLKxURIg+IklZEXgKy4CopI2T9p/OEBpfS+SmolPon93PlypVhH1KoqD36m8ZHKbjT9VOGH/JckAIQSQilAM7QwkUy9YOOP9OgOUbXTTQMZWYUGl9SCEkBaIjqQXOSlFEKuFUTasmCT/dOLZvSrwUpDTRe5E1qDOTAauWnMYqtEuSxIpqOLNDLIFoYKUnyXCIljJQxUgSV+C2FuOi5prkc+mwQlYvmC1EHZZA3hhCauUZejyKtN6EeJQpCD6XWyIJ6dnZ20HbypqiBFBBSekPpSho0aDiz0Cz4GjT8BhBfm4Q7ollQekQSmF955RUm/JOgK4N+J4GCrGpUTZQUAsqmQYKummWOlAb6nQQksoKS8EHUA6osSnxn4teTgE4UmdCX8EcffcSEDtqf0mPSuYjOQSChkkBWfOJOE/f9vvvuY4oKCWREvyBhlAQ82RotW7GJH08UGhK4aRtxw8mCTX2jTDOUrYaoI2SRJsoJCbEkUIQK+CRMkJWfLNi0P73wieYjg9oiIZJANAOq+kpUAfqbKEpkdaXsPWSpVQoJlJaShLybbrqJ9U/ZJo2RUomgcaOMItSPRx55hAkzb7zxBrM6Kjn4xBEnLv/TTz/NlCWynJNCQlVnKUWoTIMg674aLYTGioRYyhwigzKQyPfhxRdfZJxmZfVcunY5fSFZ/EkQpvnzr3/9iwnWdF3E1adrb6wwK4NiDsiKS0oogQROEggJNBdkyz2NAe1Lc5vGmlKyUmYgirkgLr4MygJFbZCgS8oGUXfoHtAY0XFqigApS3TPo1naaS7J1nVZKJX7SQIlzTkliD5CihB5kE43e9FvAc0L8qjRXKLYC5oP9FyRIEx0LdkrQ/eRnkG6XxTDQIofZR4iS3uop4MUTTnDjDyHSfGkuUnrinzP6TrpHOQFocxatLbQPKL1heaLrHwS5PlH7Sk9WKTQ0PM6e/Zsdg+p/3TPaIzJCEDKAykHdAxln6L7HapU0jNBBoEHH3yQ3VdSVinT1rp161THjBQBukZlRh8NGjT8DvgNAboaNGgQBJaFpUePHiyrSosWLYT//ve/qoWuqIIpVSSlwk2URYIya8hZP5SZJiijDmUsSUxMZJk3lO1QlVbK6kKZO9q0acOyhXz++edBWSwoK8nEiRNZBhfajzLsUBYc6mdolpnXX3/d3yeq+ErZWqZMmSIcPnzYvx9Vn6WsHFR9ls4jZ/ih6rNDhgwRUlNT/ddOBaVofwJlUVHLBkT9VGaECf1Mnjw57Jh33nmHZQWRz0PjG1osis4VqU21fqxdu5aNC2U7oc+5554rrF+/Pmw/Og+dj85L56d+UPXbxkAti46cdSTSh35XgiqU0vhnZGSw4lp0/gceeEC1WFhj+hPpvKFZUPbs2cP6Tved5gdVm6U5rATNqbPOOktIS0tjFUpp32HDhrFMRZFA/adsQ9GyAEUbI7X5QdmW6FlpqHDZb4VaxhkaJ6o4SxVkaX7Q8xR6D+WiaaNGjWJjSVm26Fn5+uuvWZu7d+9u1POhNo+///57//pDc4QyLFFGp1DQfaHquKFYtmyZ0Lt3b7ZWKMeXqgBTH9PT09nzQfdZfmZCs2odOnSIzVHKvERz4Z577mFVmtWy6Dz55JNszXA6nY0acw0aNPw6cPS/30Nx0KBBw/9vyBZmsoxr0KAhHOSJmzZtGvPGnU7Rsl8DostRQTHyjlDRqj8D5OGkGgXkhSTvlQYNGn4/aAK+Bg0aNGjQ8DuDqDkUI0A0N+LIE7WHaE9EQQtNPfp7gGx5lDmKaH/vvfce/gwQPYuoPEQlUgbqatCg4cxD4+Br0KBBw98YlIpTzl0fLXBWw58LinEhDjvFuRBXneJUKKaGYmD+CFCcCQX1U/ArzZeGMiH9HqDzUoyCJtxr0PD7Q7Pga9CgQcPfGBTM+uyzz0bdh1KRamkJNWjQoOH/DzQBX4MGDRr+xqAUjaFpGkNBWVB+b463Bg0aNGj460AT8DVo0KBBgwYNGjRo+AdBK3SlQYMGDRo0aNCgQcM/CFrklRT4Qy5uKvohVxzVoEGDBg0aNGjQ8NcBZYOiQn2UkerPCBT/O0ET8CUOa1ZW1p99LzRo0KBBgwYNGjQ0gLy8vLCqyhqCoQn4UrluecJQSXYNGjRo0KBBgwYNfy3U1NQwg6wst2mIDE3Al/IDE0i41wR8DRo0aNCgQYOGvy40OnXD0AhMGjRo0KBBgwYNGjT8g6AJ+Bo0aNCgQYMGDRo0/IOgCfgaNGjQoEGDBg0aNPyDoAn4GjRo0KBBgwYNGjT8g6AJ+Bo0aNCgQYMGDRo0/IOgCfgaNGjQoEGDBg0aNPyDoAn4GjRo0KBBgwYNGjT8g6AJ+Bo0aNCgQYMGDRo0/IOgCfgaNGjQoEGDBg0aNPyDoAn4GjRo0KBBgwYNGjT8g6AJ+Bo0aNCgQYMGDRo0/IOgCfgaNGjQoEGDBg0aNPyDoAn4GjT8A+HjeQiC8Gd3Q4MGDRoahMfjQ1FJNaqq7dpoadBwhmA4Uw1p+OvA4fVgS+lJOHxutI9PQ9v41AaP2VtxCt8e2YYd5fkwcHo0tybB59SB43XokpqGKzr1QGZcPP5pQnClwwGzwYA4s/m0jl194Bi+XbcTO3MLwXEcBrdvgcnD+6Bv6+b4s2B3eTBt3U5MX78bRVV1MBsNGNOrA248tx/aNElh+9S53Zh3JAe51VWIN5sxrm1HtEhI/F3G9mh5BVw+L1olJZ32+GrQEDanfDzcHi8sZiN75v5o0JzekpOHk8WViLWaMbxHa8TZLNqN+g2ot7vwzbQNmLNoN+x2N9vWpWNTTL5qCAb1b/unj63d4caSNfux/9Ap6HQ69O/VEiMGtofBoP/dzul0erB0UTaWLMhGZUU90psk4ILxvXD2yC4wGn+/85JB6OCefOQdL4U1xow+g9vBFqOt239ncMJfxMz38ssv4z//+Q/uu+8+vP3222wbde3ZZ5/FJ598gsrKSgwcOBDvv/8+unbt6j/O5XLhwQcfxLRp0+BwODBy5Eh88MEHaN688YJWTU0NEhISUF1djfj4v68QywsCPjywDp/kbES9V1wsCX1Ts/Byv3FoEy8KeaH4NGcjXsleDj2ng0/g2TZ5VvC1RnA+UQ98afh5uLJzD/zd4fR48cnmrfh2525U2B1sW5/MphjdpR06NUlFu8QUZMTERTz+3UXr8cmKLdBzHHzSQOl1HHy8gCcuPhdXDumJWqcLc/bm4GBxKVMgzu3QBoNaZf1ugsn6Y7l4+OuFqK11Bm2nfhl0Onx8+6U45q7Ek2uWweH1wqijey2wZ+yyTl3x4ojRMOl//cvD4/Vh9vb9+GHjbhyuqYDT4oOPE8eG2r2kaxc8PGIY4i2/XSBye72otjsRazHDajL+5vb+yaD7uzOvENtPkCIKDGydhe6ZGfg74UhuCb6duRmrNh5iQn58rAXjzuuOyZOGwGY1/SF92HzgBJ7+aglKqur82wx6HSaf3w93jB8Cne6PUTh4XsC2rcewZuUB1Ne70DwrGReM7YVmmUm/qV2vj8fS7Yfw05ps5JVUIT7GgrGDOuOSs7qzv38P2O0u3P3w9zh+ooxdlwwdx7F32UP3no9x5/dsdHs1dQ5szT4Jl9uL9q3S0L5V+m/q37bsE3j8ldmod7jZOkoPEM2/JqlxePOpy9Cyufr79LegqrIeD9zzLU7mlrHnlV4vNLdofLp2b46X37wKJpMBHrcXZsuZU3QP7s3Hm0/8hBNHS/zbqP3LbxqGq6ecw5SbvwrOhLzmdDrhdgdkpFCYTCZYzsC76s/GX0LA37p1KyZNmsRu1jnnnOMX8F955RW8+OKL+Oqrr9ChQwe88MILWLNmDQ4ePIi4OFEAu+OOOzB37ly2T0pKCh544AFUVFRg+/bt0DdSYPmnCPgv7lyCLw9vCdtOgmiswYxfzrsZWbHBL4J1Rcdww5rvVduTZ4avygwIHGgp+W78JAzJbIG/s3B//fSZ2FVYxF4i7D+zAN7K+wlrdJ0jW7TFs0NHITM2eD5sOnwSt3z6U8T26diHJ56N11etg8vrhV5aGL08j/ZpKfjgiovQIunMWczp8X1x+Wp8t2onDHbx/KGgF2aM1YSCphF2AJDEWXB1h564qm8PNE9MiHi+ovpanKiuYhb5zslp7AXj8nhx++c/Y+uxfHhjBHht1DFpMBRzsG1KMmZccxViTdGFsnqnGwt25eBoSQUT4Ed1a4euzZugqLIWHy/djDnb9sPt9bGX7nk92mPK6IFol9Gwl+qvDlJcluw+jBV7j8Lh8qB901RcNqg7MlPiIfDCaVsNT1ZU4d4f5iGnuJTNAQLN+d5ZTfH2pHFoEh+Lvzq2Z5/AQ8//xAQrpRBIixNZ0d99/gq0b//7Kiy7jxbiltdnMAVeCc4ngOOB7m2b4tmbxqBF098mZDeE6mo7Hn94OnIOFEKvF4U+ev7o35tuPRtXXzf0V7VLXpH735+NTQdO+oVrArWdGm/DuEFdsGz7IRRV1CLGYmKC/9Wj+qBpym97V372zVp89+Om4PuqgMGgw0/f3InEBFpQIsPr9eF/U1fj56W74fWKBipCYowFF57VGVdfMhDJSTFs24nDxVgwYzOO7i+E2WrCkFFdcc74XkGWapfTgy1bjuCZN+bBrefYUqYErTvUp2nv3XzGFcz/PDAN27cdB+8LHxOd14vMGBNKj5XA6/EhMTUWY687C5dMORe22F8vjOYeLsZ9V3/IlAa1e3Hp5LNw64MXhG13u73I3n2SeRxatExFixZnXuH5PeQ1p9OJ1i1jUVTii7hPRkYGjh8//rcX8v90Ab+urg59+vRhVncS4Hv16sUEfOpWs2bNcP/99+ORRx7xW+ubNGnCBP8pU6awG5yWloapU6fiiiuuYPsUFhYiKysLCxYswPnnn///RsA/UVeBkQs+iPg7CViXtOqBl/uPD9p+05ppWF98zG+JDgVt5h0GCE4DW/w7pibhgSEDMCi1HWKNf7/J/+HGLXhr7Qb/S8xn9UGwCqrjlWK1Ye7F16NJTEAQuuer2ViTczzsZS+DxshrEMBbRBlXCVImOB2H8X074d9Dz0IzSUn9Lfh80za8vGotrKX0MEff15HBwxMbYScBMNfoYYAO7102Hue0bxP08/HqSjy3fgVW5R33X1eL+EQ82P8sHD1chi9XbYNXx8NNMo5Awk9AyBdIx9GJlqj7hg7GXYMHRezjkuxDeHzGEjjcHuZ5oDGjse7TqhmOn6pErcMZNPb0sjXq9fjizsvRvWXGb6ZgrDmai3n7DqLS7kDzxHhc1qsbejT7/S3eBRXVuOXDn5BfXu0XsoxuQF/HQ+8R9+nQMg1XXtAXF5zVpUHLXZXdiYs++Abl9fawuUpjRkrcz3dcC9tpeEDKa+oxb/MB5JVVIc5qxpi+HZk1feqqHZi37QDqnG40TY7DpCE9MWloj6jeFRrrwwVlTFHLSktAYow17JqIlz3x5g9RU+vwGxuCIAgwCzp8+f6NyMpqWLigd8qGwycxY9NuHCuuQLzVgrG9O+Givp2ZN4hAAk690wWT0cAoboSbXpuOXUcKAw3xAvQuQCcEnnHq+dBerfH0lDFIiLXi98CD932L7OyTqsIf4dEnLsKo0d1Pu913Z63F10u2R4/ZoWdaMX+sZhM+ffBydMhKw68BKWwXX/MeakI8jkrQfLjjphG44pIBUdt6+p35WLYhJ3yOSBvMLgH3TRkFz6kafPHGIuj0OvA+3m8ht8SaMfaOs3HhBb2w4IfNmD9jCxwSXYjXcfAkmuBJNDMLvhIPThmFi8/vhTOF/LwK3HjVh+o/Ot3QF1WG2WdoTW3RIQOvz7ofMfG/bt49dfc32Lr2EDMiRLoPXy9+EOlNRcMUzZMfftiEad9vZF4kGd26N8eDD1yIrN9Z0P+t8lqNdPzx7S0RHxfumaip5dG674m/tTz4lxHwJ0+ejOTkZLz11ls4++yz/QL+sWPH0LZtW+zYsQO9e/f27z9hwgQkJibi66+/xooVKxglhyz2SUkB60nPnj1x8cUXM3qPGkhRoI/yhpNS8He6oXTbDtcWo8RZjSRTDJbkHcFHOesjCuoEk06PnRMfglkfCL3oOvNluPjImiw1J3h04OtkS4WApKxqWPQGXNt6KG7vMJJRe/4uY3bWB5+huE50sws6Ab4EX0SrNgn513buxSz5MoY/9xEq6hzRz6MDvKLBSBW8FUiMs+LnK69C84TI1vJoWJ+Ti/cXbcDW+mL28rVWRN+fBGV3kgBXSmQBX+/gYHDqGPVgyR034khJOX7ctgfHyiqQW1cFj9UHDylDIeMVX2kEX8HDHSNAMNCiQlYvAeTz8f/LCRCMQJO4WKy/47ag4+vdbhwtLcfczfsxbVO2avf8CoPabxzQPDUB8x654Ve7kolSdev0X7Ajv9BPvZJpV1f06oZnLxzlt4KfaZCwe/Er3yCvvMovjBvqBZjraPQCwy0L/hPO6Y5Hbz4vqpD/ydoteHt5QJFVw3PjR2FSv8YJhN+v3Ik3Z60WKQOceF+przoDB14vQJY5WY84oFNmOr6463Jm8Q19Bmes2Y3PFm1GdWEdjPUCdPQIchyG9G+DGy4fjE7tRIVq+doDeOrteaw9zqv+mNJpkzPjcMu1w3Be3w4RlQoa4ydmLMHcHQf891Vur0liHD66aSJWbDmEH1fuQmWt+HxbTAbEWS0orqtXXgAM0uMf2h9qt32LNHz+9FVnnKN9MKcQd932ZcTf2TOQlYIvpk45LdqG0+3FeQ99zLxmnIeHpdQFo90HgTxzSUa4k4xi4yGPPQmWmakJmPUcPXOn/1xQMO2Eq9+Luo9er8OYkV3x8H2i9bi6oh4LftiE5b/sQG2VHRlZyeh1fld8umxn5EYEATqvAFOlC+bievVd6GPQwd42EcYaN4zlzqBrpd+9sUa40q1+IZ/+6dejJd56+nKcKSyatwtv/He+6jXo80qZYqnqodXrMPbaobjzxdPrCz2LX3y9FjPeWBzpFSi2r+Mw+Z7zcMUtI9j3Tz5Ziek/bFLdLybGjA8/uhFNJWXgryzglx9qHVHAT+lw/G8lD/4lg2x/+OEHJsATRScURUVF7F+y2CtB30+cOOHfh7hSSuFe3kc+PhLfP5Lw/3fAjopcvLpvHg7VBq7RyBmh03PweSMLOG7eh1qPE2Z9wCJ9+tqduBS4eC8+P7oadV4nHuka7BX4q8Lh8aLIUQshRlRomGWZmb3VlzcS8mYc2oMnBp8Do058YZNVORrYyyLq7wLgBaqcDrywZhU+Gj8hbJ9yhx0zDuxBdkkRo/iMaNEa49t1hMUgCi8LduTg0W8XQtADQqoo/DQGAtfw74JkXbv5659woqzKL+zSfwaHDjqjAFcqDyjkl5oED2KqdOI2v6AnvQjlsWVvSeCUsxavrF+Ds1q0RI+0Jnh75UbM2LEHbp+kZNoAnUf8+LtLSma4XsEUNHeCAE88cEBfic4fvYuJnTrj9j4D0Crx9OgSj85djF0Fp9jfspIsC9vTd+1F86QETBkS3ZL4a7H2wHHkllb6v3NeUbhnf8v3hT7SC372yj0Y0qs1RvRrz2hLP67Lxrp9xxmPunfbZpg0rCdm7z6gKtxT28Z6QOcGPpi+FmYHh/MHdGSBq5GwaNtBvDZzlf+7sl2fV4BAt046nP0iAAcLSvHO/HX4z6XnBrX1vznr8eXiLbBU8DC5goWN9VuOYuO2Y3j+4YtQZ/LhlSWrUd3GEBiTah6WSiHIU0XjUeCsxzPfLMEbP67Gq7eOxcDOLcOuYeranUy4V95XuZnSmjpc+fZ34Mp9QVZsp8sLh6tOnNeSYKeTnjW1R4nazcktwartRzBqYEecLkoralFZ40BqYgySE4MtBJs2HGECLz2baqBu550sR0lxDZpkNN5ocOxUORPuzeVuxB+pC1q8rKUueC06VHWKA28OVljI00Fc/a05JzGwS/h4NwQWKN2I949VosAUnijDQ1d/hMryOr+lubbGgd0VVeDSbJHbIaXYABiqFZMtdBc2v3gYat3wxJuYIE0KgfJ3Y50H3jgTfDaDf7yJmvJHgLO7wEWwrhPIG7Fkxmbc9PhFsNjCg2KLS2pQUFjJhO/2bZv4FbKvp23A1Gkb0JAfnowmNO6EoqIqVeGe9YMXWFzF1Knr8PDD4/BXh0/g/YaJ0O3/FPxpAn5eXh4LqF2yZElUnlOoNYIW4IYsFA3t89hjj+Hf//53mAX/9wYJMQuPHMKcgwdQ4XCgZWIiruzaAwMzmzfa6kLC/e2bvwh7ebt5D8jLLAhGeH3q1iMjp0NcCK2mf2oLbCrNjWr5F/xKA1nsRNemjBknNuPqVkOQFXPm3XJ1HhdWnTqMao8TLWKSMKRJ60Z5C8giPCN7L2Zk70FJfR3SYmJwcdcu2OMsAJ8RWLgFtw7wRR93CkitcbkYXYcwonMbzNq6NyJFh7Xb0FMliELksmPHWP/SFRSgRUcP4d5l8xlnX57H844cxGub1uLbiy5H85h4PDNjmahISF0gQZ/Xi1buSFdDgrbXFmXhIiupJGMLXjDhnqCcF2SppZefsYKDJy1YyvLEkBTORZzHTNDnBSaofrZzOz7avhUxdiN8Hj54LtNu9I7iAL0cA6Ui3PM6AY5M0WMg/0gK7MwD+/BLzgFc07I7emU0xchu7WAzR+fJnqiowtJDR6Pu8/mm7bhxYN/fFIgcCesO5DLFke45wWgXLfe8EXDHcODN0gUSD98BWBzAj0t2whRrwv2fzIbHGxjD3JIK/LR+D4zM8hp8HkOdALN4W9lPdS4nnv9qCT7+ZQM+eOgytMpIDusbzcGP52+MKIxxCgVMeT7qz8wNe3DT2f2QIXG1c4sr8OWSrcxqTxQXLoKQ8PBn81AXYgAUDBycyTp4rQJiC/jgYyWBpc7pwr0fzMb3j12Nts1Sg6z3X63ZFnH86Vn2wQejXoBeqSxLF008e1ImaeEjAT+qtZPjsHDdgdMS8PceKsSH36/Fzv35/m2DerXCXdcOR9sWaX66UtQTK3jRBBLaF246gMN5pYxuNLxnG/TrFB7kT18NtV7EH65T90o4eSQeqEVFjwT/OPt/03HYd6L41wn4FiMG9GuNrTtyI3LwSZkZMbQjm4Mv3P0tqirqg2gk9DdZ3plSFu39Sd5JZ3QrCLWqr/fAG29mdBx9nQd6Dx/0u6HG5RfwmbemzW8L4g1F917qsW2c2xsa0hQGl8ONTcv3Y8S4Xv57nJdfgXc+WIptO3L9+zVJj8fNk4djYP82mDp9IwQd12DbPM8jJV18hpcu3esP+lWDzydg+bL9uP/+MSwYWMOfiz/tDlAQbElJCfr27evf5vP5WBDte++9xwJpCWSJb9q0qX8fOka26lMgBEVCU4YdpRWf9hkyZEjEc5vNZvb5I1Fut+Pan3/EwfIyv6t9b0kxZh8+gMykODjhY9bSEc1b44aufdAlJXzxoIXslX3z2LF8yOvWzyc0e1BnZ6bpoN+p7XEtugXRcwg3dRyI9SXHVfvsFyBdAaHGEhdsCaHFZGHhbtzWPthS91tA1/nBgbWMckSeAhkZ1ji82Hc8hmW0ZfvsKC3AorxDsHs96JCQiovbdEVRXQ2u+H466hxkXRGXrmqnC6+vWQdBzwP03pcvpxEvTAOnCwoKvfas3vh56z6JfBIMdl8hMMEs6vVJOgrdxxNV1X4Bf29pMe5cMpddm9y2bFEkq/41c37Ev9sPZvx0sQF6aER+uyeGOPTq56N7lJBkQb21XuJcqXWKXiQK/rx/s8ACZ31E75SDkEnWcINRbvwGelIw+CgDSkZ/D0ecQPhsPHS8KIz4Lfz+zkq7m0RrKQlXaveJqEZK4V4GKSQ+3oevDu2CdeVu2EwmPDBuGK4YEjkbx9pjuQ1aE6scThwoKkHPzMBadKbg8QU/zeS98JkBV0LIxREfmIKYrUD2iVPY9skcxmFX6key4umu9EAfD0gJsKB3CrBIwr0at/6uN37Czy/dyIRBJU6WVCG3JOBdiAQmBIfoPqSwXHnP53j+3nEYNqg9Zm/cBz1H1tDII+0zIky4D5yEY9dO42KpFp8R5sXSK+KFeB5Tl23HM9cH4q+o/2W1DeRXpzXViGABX15X2e8BgT8a6JmuqGl8Lved+/Nw3/Mzwww2W7JPYNfj3+PD565Ex9ZN0LZdE/gUAaRqsFiNKCyoxPy1+zB13S4W/E50O2p62rId6NQyHW/fOxGpCQHvQNumKUgoFtd0taeXthlcPMyVHrhTQulWYPEvvxbXXTGYCfhqICGye5fm6N4lE/t3nMDxg6J3Lax/CiE8EhrtpVbs6Eq3wVzu9CsGNA46xbnoOZswuvEZfhqDzObJ6D+oLbZvPRYUZ0F0qcaY/1751/eY+u4y3PrYWDTv1BR33P+NP/Wo0pr/0mvzcO7ZncWAZKKrWQ3QO2gtVgf15Nyx4rWWldVJCoQQNei5hjxRqb89xuz3BE/vapXrUNv2d8WfRp4m7vyePXuwa9cu/6dfv3645ppr2N9t2rRhAvzSpUv9x5Awv3r1ar/wTsqB0WgM2ufUqVPYu3dvVAH/z8C9i+bhSEU5+1tezD16HrxFQJ69BqWOehTZ6zDz8F6M/eUbzDq8L6wN4twfri2KOAHpuSMGiYEE2RDh3qo34q4uZ4UdM6JpO1zfTlayFIuKnCazzuh/wxmtHphjgxcMHTiUkxv7DOKdfavwzv7VQcI9odhRi9vW/4CVhYdxxZLvcenib/HlgW2Yfng3ntm6FP1nvoux33yDWofcx1Dpj4OuSiHAGJTSo0yuUQRwchzGtukYpBS1bZKCN64dy16cSk42/WU1GXDZ0O7gSIqJAqUCoFQePt+9PaIMQYJrqb0eS08eZeeWz0mZc9jvVrL2hl6J2JLXwMOdzCHGaGL3K8Q5Lf3JwWeTvF/+ERHgTiSBPHilEBUUTlQupHnHBPFI1rN6wFQFRg0xV+pgK9DBUsoFKRJqx5FrXfFVcX4BPtKJIrsr2Bj7LGDK0AuzVuCXrftUs9ZQMK3L42uUB81PI5Kswqt3H8Ur01bi5e+XY97G/UygigayME/bvBv//mE++3y/aRfb1jUrnbXnvz4OcMUH7kvwpXFs/KusPFwhwr0SNDd1ilARY23kVzIJK8UVtVix40jYb35l8lfC4/Hiqf/OxsEjRSgoq2aWP1LuVK33OsCRQvOCbn5kGcKVEJj/buLQKsaIrmX+5gMY8/xnGPLgezjnnvfxr1cjZ71qFEjplV1mssAfAWTZzUxPiJqxZtPeXCzbegg5J0rw4geL2b0PtYjSd7fHh9c+Xca+nzW8IxISbKrzlB2p4+Al78czP+KzFVvhku4b0bbkuUXW/Hve+ilorhkNehgq3OLjbNKxT3hyAHpuw1MK0ntsSLfTt97LIAH+2ccmMGs+gdY1oiERenXPwotPTmTXe2DniYg8f1OFI6r1XhwbUpj1DYptJOgGeSUTzeANYn9EZZLzr/lTrhmGti1/XYBxNDz8+Hh/wLh8WVysuWEBny3CHE6dLMOzd3yN/748hwn3kSztq9bk+MfUm2iJOq+vuvVsvwU/KcnWYAFFuoexvyGrzx8FPsp//xT8aRZ8SnPZrVu3oG0xMTEs1aW8nTLovPTSS2jfvj370N82mw1XX301+50CJW6++WaWGpOOo2BdyonfvXt3jBoVCIz8s5FTVoqN+XlB20hIEUzKyDQEUSIeXLMQvdOboXVCwDNR7Kxu8FyitzL4AeyU2ASv9r8IreLCXfCEZvFmxNtccLj18Pp0khVXBw8F1vIc9EaeWe5NMe6wtZQW+TTLmQtEqXDV45ODG9SvTbJo/2vTz6i1S8Krny8nwGv3gfPow63CSuHIRRGw4swnto9g9LF0GJxsBaTmiJLkpfztJtzdOzzjC9E+ljx2M37ashc7cgvZok+Fri7u15UF5h2qKMfO/FNBVjk52JQss7KwnJWQgI6pASrB0uNHolKl6Kry3KKQJIMEfBJmKWsPBfaSUEs0DhKSSFD02QS2zWmvB+8gF4/cUmjLgEC3m/QNT0BpUFrpQ3ZnFnvGC9dzOL9Neyw+ejR4X4FoISF8erkJL1lyOXjiIpgZ5Ow7ir9lJYL1saE3niDtJyXpeHfBeozr05kJEZQ28qN1W7DkwGE23hajQbSYKfSdUNA9nr49GxuOncSAZpl4+ZvlyC+t9itbP67OZhzwN++8CL3bZaKktAbbd55g1qyO7TNQa/Thjqm/oN4VeIYW7z2Et5eux5tXjIXNbGSpMenOemLoZR0u3AeGhjSYgHdHDTT3TDwHL+Pu8xEpMUrBdH32cYwZ2InNL0oVSHmwKQC1IcM1/R7mvCFFkR4tMg7rOUz7eSvim1tVBTVq25nIwUNKDVkrpYy1jKakD5kf5CUziaqrJ04HnzV88pCgm19dK6WGAupPOcFlcExAi3wRHHSeCIYTenrZ4iPyuWk+RwIpGDtWH8bFy99G9+5ZuGRiP/Tu1ZLdq+nLduLTOZtQU6/IHOMTYKDLVjk13Yf9R4pwLK8MbbJS8eRzl+Cxh6axuRrExWdBzyKNx5UhWQ9U5g717XB+GTbuzcVZPcQsWXSfXQkmkXsuzWX4eDHYtNIVmDNED7PzMNTzogJm4NC6QzpapiveT6U1KCmvRXKCDZmNTBk6fEgH9OvdCstXH0DuyTKYzUYMG9wenTsEPGXRgnj1Th+MZQ54UkhIDaHz+hvg4EqzwJofOciWLtRLY8D+lp4/GgqbEboacRy8sSYkGo3wOLz4YeoGZG/LxaUT+2HQgDNXkCsxKQbvfXYTVizZi8ULdqOiop7FVNgTbThxID9iBiWQ543mATlo9Rz2HjoVVfGhucXWD6LoGPVwNYmFscIBvTtgxCD6DuXAv+6OgHd+1KhumPrN+ojtUvrWs8/u7FfaNPy5+EuTpB5++GFWvOrOO+/0F7oizr6cA59A2XcMBgPLoy8XuqKc+I3Ngf9HYN3JE0H5hQm8QaJKRHnnTD2wE08NCjxclC2nIdAzzTv14O0GnNO8Lab0HogBTaLnrbd7XTAbBOj9pGf5hHZ4eeJVs5b9mwUvB0+ZBZ5yM+PnT8s9Cq4sDlf07o68uipsOZXPjhncrAXaJ6U2aBWdfWw/vs3ZiZPOEsDgBU/SH4sIDR8c8l7YeRd8bOoqLOiUpcVhDLFQq4wP/efRQSDrPVFNjMGUFXatRjGIdOroSRH7nxYfi9tHqad7/OKaS/H5xm34eMMWZh1mY6YnC5lEK5Fw38DBQV4AT5RsRqwNylgTY0GREFD06GhTNd1zsPzzNK/ccbJPOWQIic7QwJzjrQKEelFF8qmkDw3uj5gH/LruvfDM0HNx/dSZ2HIyP5A60Ee0HERWtsi67xIVCdWLlSli0oWSsEfOKR2bGw27UZVCU2ltPas6TNPmpu9mSQFWgr82gp9LLp0rtC+CV8DCbQfZffzAAJg84uJJFlIZtXYX7nrrJ5yT0RwbNhzxC+BEO6nsYfLzXZVyud3twX0/zMPTl52Lp39Yyo6hedLgtTW4B2AxGnHVkB6YtnU3OEQu6kIgnbGu3ol3X1+IJYv2MMHPajWiy6DW4JxUK0JdaPTn+QnT4DiYq3ziPPLxWLvpMP778uX4ad0eeEmWFI3GDM5kDp5YUbgPvTbKsMOUhxDF0ZGmZ7z88P4olw4x7oPmDGUl8sSp9JMdJHoM5ABaVeHfTXwUAYY4I7zVXnHtUGnH4BLgqHIzvXLjpiNYv/4QoycdqarCIbsKh45sCVZJKY9gOCwormICfq/eLfHhpzdj+vcbsWrFfibQJyXHoKLK7r92b0ywR0NNkVu+/TAT8Om+PP3mPHgkC65iJ9F6bdLDXGxn48nbzLBU+AKvLK+Ak9nFuO+RabjtphH4fNp67NwbMGJ1bp+BO64fgd7dG66ZQrnkx48JpruQsktBvEaDDt0HtY1oiSZY82th0esYrYa8HkGQ1kB3igWGeg9Mle6g1678vDubx7Hrlr2eFFRMa6ngE2Ami3TTeLh9XtiJhy898zt2nWD89quvGIRbbxIzzFSU1MDpcCOlSTzMIRmkGgsSji+8qDf7yKivceCZGz/B3s1H/Wk+g4R7Q+DFQutM1JgEycrO5p4ccG7Sw50RC468mR6eGW169m+DyXeODDouMzMJw8/qgDXrDoW1SYoY8e6v+5X1GP5o+GitVTGSRDOy/d3wp6fJ/Cvg986D/8n2rXh1w9rg7BOWQGGlSOiako4FEyf7v9OtmrD6LeTbI+dEpIwWNYeTJG8yx4ICbx/QH/cMDhYmlZidtw0v7J2lOE+w7hEIaePAu3VwHIpnqTPlbfL/TWY96pPsMNk84IhG4dOhZ1wrfDByItJs4cqJw+vB5CU/YkdVLkw2FRcwT5/weAKCx2mAoEgLoyPRv8oEvbNh1pkvySMK8Q2oty8PvABXtuvFXNqrCo9hzvH9qHI50TIuEVe074muycEZnkLh9Hjw2NKlmH0wh71Yyd3M3OO0/loAj9GLDFssrunUCzd17YvLf/oBByvKIlKwiDJ0a6/+qDhSh8W7DqlmSXElCPDRUKvcat4oSJmDol+3uYSsqGT1isClUIBy+a+5/haW7YeqAl/99XTkVlSxvhkoW0sDlmNmeUwIF+AIdCxxouk2cwZgSMdWLLUj0W3eObwZTooGjtKwLZ+DThFE/eb14/DcipUoq7NHTR/p9xzIfaGpUhfcReYpsQOmWuW+AmwlXibkKW9hXTM97E0jC170XN46vD8u6NoRX6/ahgU7DvoDbiOBxUFEuT00387q0hrvTJnAFJgrnvoahSXVEdUi6lpCNWAoCQgwBFeyER6LHq5kkRoUdA0UK0LCn2yClgOBOA6mah7WMuXKAaz4+QHc9f7PrHiVpZz3Kz/1zSIbY/zKnfSsMtmdlCtX5P19sieKwAuIKxTgtnBwJ5AgI3ERlDoieTtqpDHlIgj/bkBn5PDLG7ei2uHAN7O3YPW2o6yCs3weo52HsU5UauRtOqePUY9q2wVSLIZ3WvR2GCKkhH//mUno3SU4CQRTBH08fpy+GV98vlq0yNK7rF10agStQaP6tsfLt4/Dyg0H8dRrc6Puby6qB282MEt2RNDtM+rCqtHSQLz6xKUY2Kc1GgsS7D+cvQGz1uxhfxOaJMUifV81So+VBwu2/osCrr17FC659WyMvOHdwBxXuZfGKjfMJQ7GrSdB2BdngjvJCkFB4fGvkXRfPAJ6xsUjp6ImqpJx4+UDsH3uLhzafZJ9t9hMOH/SQFzzrzGIa6BQVzS4XR5sX74P5UVVSEyLgyXWhl++XI3tqw9KEdJ6kZervEw9B2fL6B4UEsaHDe2AVesPsgxVlEpUfi4Eow5GmwEfvnkd2rYOxALu3noM7z0/ByePl4K3mcDTnFDM6TZt0vHIo+PQrl309+JfJU1mXk5mxDSZWZ0KtDSZGhoHyuYRTaCIBF7gUeKswpyCLVhelA2Hz4VEUzzyyWATwRLrKCEidYCkQhbydzduYoF8Dw4L5+ATzmvaHf/dNxsun49l4PEFVjjoOAEGvQ8Cz4EyRTpzYyXhPsQdygngm1YhNt7rt1DSOzlHOISzf34X55i64pIeXTGifWt/dddXtq3BzsoTjNevlghB3I34qcECAFNAVIaTBdxJVJhIYK9BEw+dnQNPRZ+iRBZ9mbMNF7TohBuXzcCOMkV+dE6Hbw7uwA2d+uLp/qMi8rfJgvrWhRfiviGDMe/gQSa8U1CwT++DVzIvU9zFmzvW4f0dm+CuEiBYotMuru7SA036iUG5C3ceFLnWxL+lQE1OsoY3xrwbBSxgVragR2mLzt2zSVP//Uy2WTHzpqswfcce/LBjD4rqydMQfd4HNe+TLLtSphKZosFR8KNBj/tHDUWTxFgM7doKBzzlmHM8JyrvXyncE4rtdSipVXfTK49lFEzGOxEFO6W1Wd5F7xQDm4nbLv9GgawGp4rSlRTdokZzasGeg7iwZ0c8NWkUrjirJ655+4eoXaRHNCTUJrhNXsA1Z4sWQKIg3TCmP178RuRzh0KOmePKnCwLhhJkPaefzZUCPDYKyAsI8jQ2BqLKGYjjLLDMRkRfMdX4YFDo67R7VmYysxq+edt4PPPtEqxcdxAGh4B6UnyiPLOSnMX6R/PcqNfh6iE98d2SHWFeUXlcgoLc6dkgz5merOQcBApgNkmBuTRPKCWrW1ZMQtwrzB0auP9GQYc4qwkZKXF48a5xqK134vDJUsyZuxNrlx8ILhRE4+P0sXN44xuwJBC1Qh9c80BGcqIN3TtmqhzCsVz7ZWW1/qBHUfmRg88jj2ebTJHjPWdJdtSMKHQNRN3hyDocTSGmy2SBFYFz0n2hb69+sBg/fjKlUbnyKYbljjdnYt/x4qD7WlxZh5JUoFWVFfWl9axYII21bMkefkEPXHnHuWyNiI+3olqqY6AyaPAkmZlQryMlnCiabH4rvNPKVxvdFxOHVgNaImfRHvVrZ5RBDp/+shn6WicMCWaWktNpd2Pu1PXYsfYg3px1P2ITTr8I1dJpG/Dx49NRV2X3685UzGrclFHYvkk9MQbrtk+AzuGBYDNGvG20/YZrhuDw3kIUF4mKvzz9dW4e6ak2pCYHsrvt3ZGLx279UiwQRmud3Q2dw83oPdS5K28chhvvHHlaNRj+bPBakK2GM4H+zTLRPjmFCYiK2dWA7COggjuCS9e9hK+OLcdJeylKXTU4bi+ESe/152P3Z7rxAfYiKzxV6hacT7ZuRVm9unBjM5jRJ74zXF6jQrgn0AuUg9trQG2NBVXFMeDr1UjZgDGrHro4KeMAF/zRxzuwrHI/7pg+B9d9/SPqXG6WAvOHQ7tgsKoL93I74mUqXuLEK3YaJJ48ESfFlzCTdYimQ++iCAPLsrlbFWbPaGsRBxytLsN9a+Zgd3lIfnSJ9/9VznZ8cSBy+j3ZS7GtpAA1cGJF2RF4DT74Qgi3jIMseCGYyWKk2BiChwYOQ4uERFZh89XrLsTcR2/Atef1xqgh7XDXxYPAZ4hu18jRlA1cM90H4svTi424xq7oc5RewuPaB6cDjDWbcfPgflh61424un9PZkmOBtlCy6yy9vCCRmTZNPn0+OiaCYzfOfHj73D5Z9NYbna9suCQgtJD2y3lCu8OVWBulga7zxP8DKqBZXkRg4LJOk+Cahj7RG7XK6X0lGCsV/e9UBaMSNdO1l2yNufWV2Pcx1PR99UPcPU3M0CZblXbks9vAFLSYtg6oBxj+e97xw/FgI4BesSEYd0xeoB4r5QvYRob+s9W4AJUOOiiZU/MPW+qF2ApE5j1nf411wjEqEPz+DjElgiIPcXDVsYHCfeszwJw6bg+7G+bxYRXbxmHH16eDL6NzJtuiFYngqrnfnjLRDwwcQTLd9+heSDIkSm3JpHuEtqcO46yNzF3NbtnRsnzYqIU9+RhosuW6FMsXsQr3lsSApXKHVnrdx8KVLSNi7GgT+csFJ2oCKsCSkIWOyejYzZC6GGLXfjm264Y6o/ziMTZVnpczEQfinoeYMJZYoxbXmFFVKs09SkmNbbBoEr/8xcCOqykrBY79ohWbULhyXJ88toC3Hf1h/jXdR/ju49WoKJMdIOR1X7v8SJVYxhRSI53isVVD52PnoPaolXHDLQe0Bo9JvaGoWUyVqzJYVm5LhzepcE1p13zVLHPLP0pJz6DJOyzegfB+9LzsXXPSdVxIq+SK1EPT6we3lgDXBmxqO+ShtqeTRi9iYThgtxS/PB+IAlIY7Hix014464vmXAvj6VM1Zn+2lzEJ9qiPjZxTh/LXx9J4L54fG98+M5SVjeBEPpKJKH/tVfFoltlJTV44s5vwmow0PzWuX3QubyYN3UDo/X9ncBTsT6Vzz8pi85fmoP/TwE9ZB+OvQiTZv6AKqeTLWA6j1gBUt1KSvnPBeitXsaNDbXqM/oc50LfhI7YXlyKaocL3oKYqJWM6JzzDx7C5D4BXp8SZZ56RnkJXw9ErrTJ6kOyNwWlctSicg+TD/rEyA83HW9IdcBTZGLBp4/PXYLrhvWCCx7YaAwaAOPXsze4Dh67PGUVLEoyM/J6cEYfGy8drxPT9oVWUzUI4OO9YvpFsu6qVU9SQAcdo+ZEw0f7NmFyp76qBbAW5x7GA6sWoM7jZhYsX8RUM5Jr1MJDV65nAgYFEvpf+BSsyHN4c/0GlrP9uXNG4lB1GV7ctQKbSqWXZx1V9LTBfUoA3KKAHiYw8ArrtNp1kzLmVPxNc9SiPkdJUCal9bzWkQPMJgzogu/X7Yr4u2xxpWwvagWE/IKVx4e3lq3HkaoKVnlT/I2Dwc5B5xRYH1PiY1BVYYeB4gecAYswvaBJQHry0pHYXRw5A1VYxxrWA1iflY+cjoQ6lX1J8HeZwyk6jHaiKA7GrpUy9dB3iqOoEa30oT2WA08fvGgEujZLxw9rdmHN3mPMi9OrTTNcNaI3+1cJmn/P33IBYo1GzF6/z6+sUtCe2SXAVKc+Nw12H7wxgdeELBgpN1w2pjesOj3e/GhZmEWYLrl/71YYP7pHULv7C0tg94jR12oBpqHr57OXjcS4vp2ZcltZVY/8A6XA4Xo0q9UhJS0O+9yV8FjVPSU+qxhAG/U85JnzBmJG5KJvoc1R0HQo5MwvwTsGLPJMSWpkph6aq0TjM+j1uOPqYbhoZPC4hSKzTUrQdDVV++CJ0cFnCZ5v/r6Y9Mgvr0Z6UhziY60oKa2N+kTEx1lQXxm9cndDKCym/KwtsXT2Drz51CzRMSJ5ig5m52HG52vw3PvXY+aq3VENCnqDDvlWAdc/OhaPPTUT1UWV0JdWA3vysGBRNj78ZCUefuhCLFi9D3V2V1itEpZ6s30zXD9xIE7kVzCqyZxVe6P2nY5RMxiRQuCOU3iWFYG5vMWAuq5piNtdxPow78fNuPSOkUhKihxDR8qJwaBjQrnP68NnT80MXyvjrCLf3uuDu6omqvh2632jkdEpAy+/sQDl5WJqS2VM0I9Ld7K4EgOn/lzQM7xxwxEcO1qMJ++eCme9IuBaBfZ6FzatysHZF0Sfrxr+WGgC/h+ENknJWHjNZHybvQuzDuxHtcsJp88Dl156oXPBwn2LpmXwsRdHJN4uCeWl2DD2QZZS87H8ZUwaICs6Z+CZpZuvMwBucRFiHGmHen7m3Loy7K0qiMgiYGuXXkC/zKZYmB/uGtTFeyJa4f3HGwVwZh68i8Pi/Ycxpnf7sGw/kcBeCCToOE0SdUN5XEDQp4wvVPGPt/LMo0HBtH6esNEHIZYHJ3Don56F3btOwZcYReAWgFQhBkWoiyoUUnrTg1WlYXx8CjS+Y9nswKIqZ/tpwGtAwU2cVyyoE3SdzNIr4Kf9+1For8aWuhPwhFTcq/DagTTAnGeEropjVAXKrMNc0bLllgQPcsLITQdxkUWLNAkkNE7EwzfUUvYIUREiJYZxfwUBvTOa4sMLJ0TNg92leROM79cZ87YdCBtBsrLRy4+sZhRI2ZCNc9+xIjiaUcAkxxQP/7AQdczOodruwGsXjcH0tbuRfTJQ4blP60yWB79biwwkx9vw0uJARdZI9Bx/7v2GOkU6mMJgSpZaUZkMhrWUhyslhGbG/NzSFzUXARVDiwMEhxSH4L9gUeh4aOxwXNhLtMg/ctk57BMN9MJ+7t0FWL4uhy368hSQnydlliIl9B6KpfDCaxNd8UpQP9q3SsPE83qyyqTNMhLx9YyN2LO/wC9I2NN12Ggtx7dbd2PyoN5+i+KGgyfEOUAufzVJWj6/jsOFfTvh0kHd2feT+eW476FpqK5x+BWJersbsQIV8eJQ3ZImVEhbNGfNYiBrxCBbOhcF0so8fgNAS3PQbeGAjhIn2eX2YvW2IzhxqgLGVIqSFZ8tNRhrvHCkR+aw0zj27dgcI7u3Q0W1HWkpcRg5uAPzEDSE0lqHaHmWniEay5hCD7MsuxMMgUBkso8wrxCPez74BbOfvhGjR3TBkdySiEI1Xe+Yc7riq2/WRWPoqAemKxAfa8HhfQV488lZQTU+CCxjk8uDR6d8icouiQDFSCgqB7PxcfOs0ixv0uHYiVI8+FO2v4qs0qpcXW3Hiy/NwWsvXo5XvliGo3llfmoLgeh9lCr0X6//zL6bi51AXDCPPBSkNHfrlInV+dXB9SZIgZIHKRSk5JoNsLdPhS/GhFq9DuNu+wh9umXhpssGo3dXMZ7C4/Zi3vebMPvbDSguqGSV6Aee3Rm9+7dCRXEgkQKfGANfsxRRuJdQ4/VhULdMHN2Zh+qKgGfeFmvBjQ+MwbirB7PvM765AwuWZuPdL1ayOctqYEp99lnoudDBVO1lqWvVMP3r9SgvVgYaRZ7D5SURCrH8RcH/P6DoaAL+HwgKNP3XoKHsQxj87ccorKfoLgqC97LAVJ2Jh8nqgZMzwBiFU0FTsNBRgVqfA+dktYUucQF0iQHfOJMfEjzg6/XwlVqYVahZnHpAyvE6MT9/Q+jZPB2Lt+SGu1CpymNjIO1H/6+odMDKmSEIrqgB//Tb9a0Hoqzai1nH90dpnINNZ8KPl16FN7avwfqT+XBTIC0z7lOUpIC2icm4sXM/XNW+J246MRNrXcfEVKWh55foHoMyWmB20f4GE7aoZb95d6eY6vO0lwolBVjJDZWEGVp81lYch86gshBJgqG7qQeWoyZGNzDWAO74gDDJPBlkPQuEWfjPy77qieZAAYOSBdzHwVwmbp8wuDOaJyVgRMvW6Nkko1GX89wVo9EkIRbfrtnJgj1l6Kw6uOJ59gI11MipNCNPBKZweCmAWABHqTeJmhUiCB6pqMB3916FvLIqlNfZkRYfg8zkQE7yrKQEjO3WEQv2qQcoM6+FFBQsNGDJl4UapYDvidWpWsJNdQJshT7Ym4mBfIy2IVvuG1D4BCtluhBpI0yhIMGfE7Dq0DFMGtSD8esbAglV736xgqUiZM1KwbKBU3NwJRphrvCodocEAHKNuRONTBljR+g5XDyyB+64ZjgT7gndujVH4RYe5WaDGPQpnYeym/138WrkVVThybFiVjBSEukWEKWH13FwU5xCeMdhMZpw+5jB/ut48vlfWBEdpZdAVqKpQm5MCY/6JqSMBNogRdVcLaBli2QcL62UOP2CwnpA812k8LBZKFF5RI07ML+G9m6DJinxWLP9KJ7/eBHLmkQWd+oLn2KE3uFj8QfsEFIyJCs1jZm53AtXariQL3uY7ps0Ah1bnn5lVB9lPQlRkEnIt1T6YK70ifE04FDb3Ag+Vs/mPXnBZm3Yg6tG9cKP87ajvKIuvDI3K5poxJDerbF22T4cLaiMSBkTNQv1iWy1GDGobxu88/TPohdTLc0jGRa8PAt+FTJsrJI2ZZIy1nlhy7fDVCs+ZHRkSZ4bToq9UKHh0H2w17uRveskpr5yPVZvPoT3v1iFoqJqZrSoqBSvwWimrE16mOu8cJHFPCZceRVPSPFnetx549nYsv4IHMRrlw02pIhEenF5BRbES0K+P/UogF3783Hvsz/iuX+Pw9A+bfDUlK+QvflooOaMT8DmVTnYtGI/QNW3XW7wCTHwtWwSHgOh12FTThHu/894pMdZUFZUjcTkWPQb0ZGlt/Xvptdh3pp9cFIsWyhVjGk/PLxWnT92iAxk8ruAsHd7bmMcmmzsk9P+2oWt/j9m0dEE/D8RKVYriuproTd7YEu2B1FkxHeQGmUmHCtKcqBPUk+Dx9l80Ke4YKiKwYUdO6juY9M3Lp1X07h4XNilAxbsDxaQBKe+wX6SsVlwBxY7Smd5fae++PL4auiMfMTjjTDgi5X74CPuPEvVF/kcVNE21RqDL0ZPCtpOGUkoX75FUbDqjvMGYfuX+bC3cUOgwEFZLqMu+oB+nixM7NoNs06FF0hSwqzTo228GLQmg7wz6wpOhAxAA2XlJOuxXDwqFExhqwFL78knk+UhAlgWBEprJ0BPFY0pTz2t2f55RR4ixTkjHE9B06wyLQmVVIHWA1zWrisGtA3O5tEQmPAy9izcOmoA5u7KwSur16AOHtjlkqGcVLW2MfRNOU23mQSw8IlAQj0hKzWRfdTw4rjRcLi9WH7oKBPaxHzQ4m8k3PvTejZwv+jsGeZYVBA3ip6N5DhcdW5v5O4sxPKV+8Pfx6ScGCVaj/zGbEC4998f8sDQI0r3UerfluP5eH3RWjwxPrrlPq+gAk/+dzaOnSgL8GzpWSTam2TNY6eiLChG8o6ov9ycaRyq23GMwsWsxAlmPHhLcK0RSsdJNQZE70T4xX23dTcu7dMNXZqmo2fLpliyOYfx4GlO6ngersTgXPV0rh7xyWieIippu/fk4cTJ6MYIig/wNDGwUhdEI0viTOiakY4DhjKW3YkUZUslD59Z4tyTBZgEGllglP4hRUrOxkqCaUZqPB656TzsOliAR9+Z41e4lWlSyarrpvSg1V4IRvGZkW+1pczDhCdnCkWMB66xZdMkPHnj6F8l3BMyk+MDPOuQScfJtSroOXQK8Eoxk7R2r84+htsuGIT3XrwStz/8HfMcBCk9VOTO7sGUe7+G+UQl0CyBCoP4f1emR1Wm/g3F5MsHY9vag1i7dG8YhzsUhloPINkNLGVuxB4PLqBIvXKX1DNniTs1hlyKkmtXUqikoGsq4jR2TE/8792lqKqyQ6+kjLHnnLIWedk7yVzjhsNsCQ9Mlsaic3Ii86hMvnYoPvl8Ffy17lSeXUovacmvhanU7qe9+GwGuJrGsWJSslL60vuLccOQrsjefCxsnSDePtuUEAevzw0hI9mfmSr4ZOL3zz9bhR9/uhdGCnZVwbGTpWJOfBVQnAglBmDvB7kODBtTohBTgg0OHhcFo3D+ZyHSkkVZgwaf3TnCrxr+LGgC/p+Iyzp2w77yZbAmOcKEeR+vg4lVWlUH7drCloY4gxUf5qyNvB/tGOvFXV0GIM4ciAh0+NxYVLAHGynwk/fBojcyylAkmHQGnJXeDsMv7ICimjpsyyvwZ5Xhak0QPHZmJY9gCIGvkkqLBiSmHpkZuDS9G3ZXFGBX/aFwvqu08DmKTSqkh8gwUKqfsG06GEKktUHtW+CVyy7EUz8ugcNClhKRysPVczgrtRXevn48bGYTS4mZX1etqtXT9V/arjviTIpIS6IMeNwR8r7LL9DQX0WLOr2M+SQvCxzW2fVinAD7WRAD/zyK9H8NwBvLw2cUjw96ATeGeiK9tDmih0hBhrTYt0lXL5TWGFhNRny+fwfqDJ7gsSRDp5msr5E7xSgkhkAQHFNAQjOvCECT+EDWh0ggi/cHV1yEvaeKMW9vDvIra7Bi9xGWEUbJGGPvMz6ykD+qezu8de041BDX18cjKc7KBC3vub0ZVeXHn7fBIVVUJuHR14GqhlEKF1GR8Gd/bezUlq18ZGykoHJBwMxte3DfeUMQZwmefzIqKutx96PT/FlFgk5FL2tSNqgeh1woiTjFdT440vXwGThGWaG0n/UZelS3E6kMcs0CTqrwqcQP27KjUjlIoZq5Yy+eGnsuxvftjPe+XuUXgMnLYawTqTTMM0LZbXzAvpICZO/NY1zxzduOBVEu1ED30FjKQ2cExg7pgqdvOB8PfDwH1fWi1Z8UGKNT/BC8JiqcJR/MBf3LSZVeb5g4CJeN7sVqUDz9wQJR0YqQTcVr5WBNssFb5oLHwsFcIceMAJYKLyxVPnhsOnTqkYlrrzsLp0pqsGXPSeSdqsI5/dozi/fpoKmyam60iq4ht6u4vAZX3f05o7XUVTnFuaHwegSeO8qJb4XlZCW88RZ4E0gY1jGLuC/GwK6ZzSXpVSUrzSajHucP7YSf31+Jck6AiTwNUa6D/SYvj4KAmDyRdqJ6DN1jorA4XNDXi/lSeaMevrR4+FLjGH3n57nbUVllVw2OZUI+OaUsOuidPKylTripvgHFmpCiwDIg8bDUe9HzrGb4+PNVmDZzizj3ZEGXmLUUPybPFS+P2P1lLHOSss86uxe2o5VwtEiAJ01Ml2l3uPAzoz2pT2S6flZRPD4WAnkAotzX2lontm07hsGD26v+fji3VHW7zumFucLNgmTZfDbQs21k+f9FowuHEYM7oPx4OWqq7RAoHadHUQchBDfdN5oJ+X8n8CHhRMrt/xRoAv6fiMs6dMNHOatQrxbMxZPrN5CJJhT0oF3VajgO1ZSgyBGd+0bHJ5PlSMLBmlO4Y/PXqHDXM0s6LeQ+tnJFNlne0HYw4owiJ3TqtZdh1ZHj+Dl7P0rr6tEsIR6d2iTgw5NLRIE/xBBClntfoc3/AuiSkY6uTUXO+rfnXYUZR3bh/YMrUeEV6UqEDFMiTua6wVPGHGYd4aKmkKTDiIKTbG58OrKxfTpheOfWWLAzB0eLK1g10fN6tEfX5gE+/QcjJuLKxd/D7nUHCaYkXHZMTMOjfc4OazfFaoPNYGQehSAoBcaAAUx0o7Phl/ipZnp58tDV6qGrEw8g3jkbmpDUj5HALKG/4emmDDpyrnG6Z+d1a4/UuIYLrUXCprw8HK1Qqd8gWY98RjHwXO3qaKs7Pnr2I7o347t3womqKjafm8cnqAY+E7JPnsLXa3Zg7cHjjJrQ1BKLElewtVA+DbXFqpdKHoNEmwVXDO6Ju84bzAT6hBCeNHksbrp+GK6eNAj7cwpZ5pWE9Bhc9M33YlpJeUzdIkc9IiJNdRIyJM612+tDdl4RhrZvqbrrzwt2MuE+kpDDTiPNQ/qnLssIN1Xz9POTgJo2RomOEJJjv034OQtZ4F9k0FhTkDgh3mrB8A6tsb7sSFCfgvLbS5bEex+ahtMBE5wEDvPX72dBsWuyjwWYaCGBp2JV5MjPFN2/YX3aMOGexnLb/rzw6zICbtIt6ZkTBJSS9Gej3KEGGFMMsJV6GHWH1tr2HTJw0WX9cLimBg+/OVtMuEA0ER+PV79ajgeuPwfjhwdXeI+Gtm3TWfBmZWXk9K+cRB9TXnhNqR3OarEqrV/PVPXocfAmWmEsrYex2sk+8q6uprFwN4kRK4JzAob2bYvuHZohOTEGWclxeOzWL2BPomwvpEQZWLaVSCPN4h5ixQXLWOOJGpjM2Z3Q1dmDI7E8PhgKK6Gvc6Ld8I5YsHhP1AxBNEd4Vv1VFOcMDqreS9XGpJIO0qFN26Th7Y+WS8fIAWVivAYpczLMBXVhwr089nSYJa8a3iRROTJwHOqryKineJ9IVDHZRcCehWoH+HoXfIk2CNbIwnNVpXpsHeuXKfwloLd7YSkOUfq9Aoy1bvhcerGiL8ehU9dMnPAKOLivQExnR+tVSCExuoLxVw7ERRLnX8NfC5qA/yci1mTCWS2bY/Ep8aUXDA4OjxFWKpmp8JxSDnYK2Ly0+WCMSO2BnJpAQGEkkKXZIVnnaz1OTNn8FWrc4gMu87gp4FXH8SwtJmWPIYstE24EAVe1HoC7OweoABSwa4gD7Gn1OKwvQK6uCBZXe7zcexIWFOzGmpKDovXHB/jKzPAVW5j1ntpMslnx5iUX+tuibVe2780+VW47Spy1SDBacfW0meCdinEhAYvWlghxx3QVBb4C3LLpSzzQ+Xx0SQzPHa0GSr13xZDgKopKUPDsgvE34vP9W/HzsX2o9bjQLCYe13bojes79oHNKC68h6pLsSBvH6rdTrSITcKE9p0xI2dPmFIgu/bJ7T8isxV2V5xClcehGqjGx/vYdRurdf4Xjs5JwXwSpz7S25LeWZTbO3SA5LdNQ6RKqcIs6xIHZCTE4bHx4YrM6WDnqVN+j09YX+m9EU/FkSSrcoik4ZGLd8nXEUYXFtAqMxkTZ0xDjcvlp7/d0KcPpvTrHyToz96+H0/MWMzmncw7LvHUMcscFYWTCxexuU9cXYuYTlHeVmV34uPlm7E3rwivXXMhE1QjVaPs00sUgvOrxIA5GlN56MlC7Ys0n4UI/yJwD5mQrzJWSixasS+6kCPTdXSAK4UTKyDL51B0imhLLOmU9LagNicPFNNeKhFrMaPa4Yy6DiUqxqt/5xbYuJEq/qrsTMK9+3R8d9JhxDBQvNUWbTnI6DL+36kIlhRQHFa4SwUkeG3bl4f2LdNRL3lkgs5HeQyUoU1+L4D4jJJXpM4a8Co+dde52JtTiKnzt/q3CU4v8yh4a314+X+LmKFh5MDg9LORQBzrq68ZjPffU69xQEPrjtOxANVAH6lOhPTgNYZuTN4ayXPiizWBJ2GTvCzM+iugZWYKrp04EGNGdPHThZ677zu4iYMu8fMp2FRPdI8IfSS4UsS5oXNFthSzh0ai4gXFHch/1DiQodNhAwnrkUBzS5ZT5XTTLMWyjikhOsmCfuGE3pg5fTNppkFcenYYzU2jmJmNOmsmWk6E07FHlrwO5Q6mEAmkdJdVkCk/0IfYGApYABdilCDPgKGsDt6UWAgRLORpUbjvfbu3YN4Uf4VfnwBLSbhHT/6bpb2k+AGrEZ+8txTGMjvA7qOUs9okeaKZ84JDnyHtcMej4/B3hE9Ki6m2/Z8CTcD/g0EPx5riw/ghdysO15TA7ov8QuQFHepdJhj1PsQaDIjTmwGXCc46Gz7NO4Z31/0PRj0HvTrd2A8SqtrHiTmj5+bvRLU72PrhVx70AoxkmY7LQPfELKSYYzG2eXc0j0kK6v+r2SvxSc7GIIHtp9xs/JS7G/8bcgle73c5yh31mL/7EH7M34cirhaJcVZc0qsrru3fE6m0mKkg0WRjH0JpSM5+Eo7Jos3HEcdBWjHlCj3gYLa5YLJ4saM8F5M3fIbPB9+EHkmnxxePhKzYRDwz4Dz2CYXL58XDW+Zgft5+pnxRj2hMdAKHBEs8qp3OIKFWL9bcxe3tB2Dt0ROolJO5q4HWUZsXugrlws5BX2WALzVyvmuO6D2hrxuuMVQhSbh3SNxdnYArBvXEvSOHIDHm9Au1KKGaf97fDTEHuDtRLNTDePB07SwLkFS4R9mWU8zdTqBS9nazD4drJO+AdJpyhwNvrl+P7KIifDBuPFNKCyqq8eSMJaKgElIgiY6jonA3ndsPn+7aBrFQswCzwumgHNNNR07inq/m4KvbL2+wuEuTuFgkmM1w+gLmaUb/qBOzHLHrk7sjNyU7LNRdGuI46Dl0y4wc7FxbF3ltkZthY6EDnFGKcTGKM8m2LLAbeG7sKEaxC8WEHp3x3ZZdEYPUaPu47p38388b3hkffL0KHooiDu0bZXKK2nv1flKKyIai9t3xOliqGpcrQ7RsC/6iUyQsuYiqIClmHqIUyRxwtYMpc41U24E8H9NW7MDuXXkBYavSy6zBytv/8jOz0fyd69CxQ9NGXffES/qhtLQWM6ZvZnOCxpkngVQQ4DVzqM+UXEVyleEanlFU/CdsaCAoiJiuOzMBIK63gqufbrHh6XsuRId2gflARZ42rToAX1JgzRDMBriSLTBXOIOEd/nU9S1jRXqI7H2MBEeEEsaKy9mxaDdS22WgoLAyYtVged/AgaIGQ4GxiTR2Di8W/bCF/US3mLca4Emw+AV98fn1sVgOei7IE9IQSHnQl9fBsvWYaK2XwfMQampFgT8lKUjIl2+PobIeHmt4xp+UlFh06tIMZeW1iI+zwhRisadMTJeM6YXp87aLSkadaDCM9myRhZ9SffqMeghpIu2RFbaia5QoBRTIO/bSfrjxrpHqaWL/BvCx94D69n8KNAH/DwTlsH9i52zMztsdEI4p/3LkTIOMm+9wmFFfGouCKrDUjoKOpXwQXzAsbYouYqAqiZzp1jgMadKGfV9dnBO9j+BxylmBaT2mqP6+vPAwE+4Jyhc5eRXo9Pdt/AVrxt2FZrGJuHXoAPb5NUi12VBfHUgV5s+kUqNjFBZdvPjW1Bt4GOltVWGE+6RoydDHefGUYTZ+Pu+u372y3hPbFmBh3oHgVJiMSSOg2lCFwc3bY2thIVMECF1S0zEyrS0+XbYV7mQvQBTaKKYfwUKWRjHglUbbS7WBXHroqsjCH1IVig6p14NzqCy4ykWLuinPOT9FQ6oVoBPgTRDAJwq4oG17PDVqJM4EhrRsiVfXrlO5RMUFUD9MZDWnVJ4hSoj0tXtaE7x+3gUsI8vMffuw6PiRiMwyOmTp0aNYdPgwxnbsiB83q1ejlEFelcX7DsNrlixu0vRTIw6R9X/78QJsPZqPAe2CFUlSoGodLtYeWbUpleiVfXvgK4XVlrVLec8pyJRkJooxoNPIlmVDA8KXAHRqmsYoQ5HQtEkCSysYsZols1ySVZYUrMjPifzLqA7tce+5g9E2LTioXMbkwX0wa9c+2N2esCxFtN51bdYEw9u38m9LiLfinpvPxZsfLwvm1pOC3AgirNIpRf8SZcJD1xJ2kcFBip4YSgGrg7GGBjtKfl8pILWu3I7bpnyJk3nl8KboWEEt/3VJRbEo5aDSUxDUBaLgkTeTF3DoeImo0FCGoAovoyARlEf63Dz+9a/v8cXnNyMjowHrjeRlmHL7uRg2oiNeencRThQpBFuOil/xcMWLAdJGBx8IJJfuvy7K3JDfM462yX46j3K8qqrt+Pd/ZmDqJzcjKVE03NjtLtFzFMIvdaVZ4EkwwlzuhL5eXLs8cUa40qwsGFUGVc8FItBOVOoQhCLvcDGuu2c0PvliTRjPXY4VUL1TFHDOAVV1LhjqgzPS6RxemNz1cKfHBnj6FKRqFyCQgN6IcBrax7wzN1i4D7o2L4TaenAJwRZ51i4lS3B6/FQdqcgy0jITMOGyd8W4B5MBo0d1xfXXDEVaaqANynRF8QiL1x6A3hP9weL8mXSk+ycpW75YM3OgG+pc6NyuCV7+9CbYYtRjfzT8daAJ+H8gph3fyoT7IOGYFf3gWIrM0PeMvIvLYURaq1JUl8fAa5ceKl0g7aTHaYRJIq8q2yCLsoHT4Y3+l7C/CW7e26DBhtI+Or0e/Hx0P6YfykaxvY5lp2kVn4itlccjyh2MR8nzmH5sF+7pOgy/BZd3784ssMGl6AUWsKg3+GBLkihG1QZ4cuKDkjF76wzIKXLji6QtuLn/QJwpnKyrxLSjO7C17CQb1x7JzfDzieyI+5MhpkSowI5r78Qpex1iDCakWm0Y8fqnYj7oRtYBoGAuFoBLhjjJcsiCcB06VhwLFOzFc6Jgz+ZF8PGh98ufKpMF4AbMOYKel/i0QP+MTLwy/IKIfap1u7A89ygqHA6kWW04u0WbiMGehO5NmqBvs2bYdepU0NyXbZdBSRspew8Zmui6pOslAam1PgEzJl0Js8GAGLMRS+YfCZbwVEBUnG+zdzMBn/Ljq6bHlEC/FZXXsFoCMk0pWupO8gos3H3QL+DT3J+xPhtTV+9gxYQInZun4+aR/XH38EGYvmIX7I7gVJTshUpvTl9IulImsIpeDFVwwNieAWu4GiaM6cmKT0UCnad3rxboPLQF3lu5CQ3hsl7dIgr3hMzEeHx74yTcO30uTlZWM6Ge8dwFAUPbtsRrl17AxkyJiWN6ITHeis+nrWfFhwikGDVkVmbtkkeBYvdNHPuwnO8hi6gYtxIcECla8Tl4bByrzhsJZHG3GQyY9vUGdqgjQQ93BCo0Cc+k1Pvzzod1QgQpe6x6MBO0IwRZSoWPZv60DXffFZypKBKcLg9e/XgZ8kpC6J6kqNoFZrUn0yQFlgaNkTJwVD5E3ibyMPyuHhbwSZ4VhYxIgmVdvQvzFmXjuitFHnZcghUWq4nR3VhWFjkQlSymMQbYY+MCCoQkLAd12ahD2/4tcWzbifBp0AiDjdFswISxvbF46V6czA+p1qsI5VEDs7lRtqCQkAZxHgkw1LpYoLHSYk8Wd4Gs6yHPdujxPO+FkWhN0eCwQ4iPDTNMieMlJYIQgKTkWFQ5nMg5VOS/PpozCxdlY/3GI/jg7euQkSEGYBsMejx131hceVF/vPLkT8jPKWrYa0NzVNlVqT/eOAsO5JyCT8Xr9ncDrwXZajhjk0ng8dUR0fIdDDG1F2VM0RsCKftkOOtMsJrd0Ot4OJhwLz3hTLiXJTPAXWeGweyF3uTzc/VHZ3bC7R2HoWNCIGiUuOnZVXkR3ehk8W8b2wQT532H/RUlfmGjsL4W2WWnoLd5o66xZMvYXpYftI0En3KHHUadHknW6FSPE3UVWFRwAFUmO5JSDKiq8DAKpKKD4Ci/PfXLpYPnMFUDEsdROaY0kG/M34gRLduhXXpkoaQh0L3ZW1SMhQX78fmxjeza5bHbXhYecKcE7XWsthxFzlq0S0xl25YeOIIKiXvJuRrhXeABdwwV8aFgTy7co+EIuH+YsBxh4Zbf1+wf9jIXRVeessdQWk2DgGSrFUOzWuKS9l0xIqs1E0TCrkkQ8NHOLXhn60Y4ySshT0Mf0MWYisfOGYFhHVur9uG98eNw7Y8zWbAttS0GGAZXPvX3lxQW8lqQpbNY/H3IsJYs5Sk9BXNzcsSXYAPViOkcx6TgXgqAbQikQIpiaXThXh6LOqdo6aNreOzbhVi081DQUQcLSvHg1/Mx6awe6NGuKTbvORmhsZB+MMFM9NhQ8bFQ0PiN7R6dp33BqO5YtHIfcg4HhAAlzju7C57414XYfDQPWIkG0TJC6lElOmWkYdE9N2Jzbh72FBQxgXZYu1ZRn8FzhnTE2YM7IPtwIZ7+ZjFyyyuRkBtdEKNMI3o3D2eiDvZ0A4xOSgUZYWe5cJlE7aN5w3KyG4ABQ1rDU+nGzgP5/jnJ2ufEzE+e/HrxOSEKV4L6/JHXSFIIvUpFQoYihmpAlxZYuGo/zI7oVl+6X8uW7W20gL9g+V7RW6PaQY55F3Rk/VZJt0gV1ZkwJ68P8i5BioD4N1NgQqoC03OwYs0Bv4BvNBowemJfzJ61FW5FcCilZOSporNyPaI0tTJXjF04YHTy2FtdCVOcCYYat395Z+c0G8G51FNCs3PodRhyYS/YbGa8+8Y1eOf9pSxtphxv42d1/gqwKVTvhjdOLLiohDfJBqOjWvWesss06mA6UdbwSZhm7wsqaiWfmxQsiqXQV7tRVlUXFhdAoOukzEjvfrAULz13WdBvHVqnY/Lk4Xjx0RlRT08KVkRFiHLHW02or3UwRU7DXxuaBf8PQpmzDoWOqohCBS3oHrsROhLcyarv5eB16xEX50R8nAMuF5nypNWJXiKhj5/Awes0wktZZzgB9/QcjAd6jwg71+Ut+uP742qKhgh67dTXmHGwslhsNrinjbpWeS+X14vPdmzH17t3oswuuly7pafjzv4DMaZde9R5nJiRuw0zT2xHsaMGPl4Pu1fMNkEvW28MD32MDnypEYKdUplI3Gx629JiVkpcikj9Erd9u3kXnhn/62gmcw4cwOtr16OA7luGKD0oz9TY9wRl4JGRW1bpp2fp63TwpvgiBg4zA5pLB84gpfJj5t7I5wni16u0FdgvABrnzilpuK5nL1zapWvEzDMyPtixBa9tXhvemA7Y7yvDLT/8jKfOOwfXDOkddNyp6locLi3HUyPOQWFdDeYfOsgsUFkJCThYXI7jFZUhgysKSnoXx7j51P60fXswY/8+PDxqGMqdDgXNLfq4xErpYYd1aoWNh09EpKyQxbZnq6ZYVyMqqKwWgF/aUUfLNFHoXbzrEBPu2XGK32WBcca6bHhoV4soiAZ1We3eSI+6wQ64aZVW0Pjop2sG9ER6XPS0oJRB483nJuGTb9Zg/tI9rJKlXFn08gn9cO1lA5mwO6BNFpolxqGouk7Vw0Hj3Ld1JlqkNCzgE0h4HtymBfucDl75ZRXyamtYUKcnjoexNgoPn+NgrPQgqUJAXJ4blZSGNAJXS/aSUIC7yWxgVWNrap1ISbChTdMUnDe+A3LzyvHzst0oKKlm8ULnD+2MX77djErJikmpLaNBpFGE0N/k3yhsSMchMdaKey4fhk3bj8NRVtPgalpT7cAzt36By6ecg6791JVmGXOXZUdfj8gCb6BicbzIcWcWWgE6F1USJuu86AXJykhCQXFV5FSkbF+p8JoC5JlS4urbzsbGFftRVO+CN4ZSHVNGJIBz8yKVSS60JmWskQM3jY4ADcidYoU7wQx9vYc9iyTceuISEL81D5xKRh4mvHPApXeIShFx0p989CLcNWUkdu86AUedC1u2HWcW7og5+cnoEMXKzvqq4jSkGAM+zgJdrRhjwPaVf/T5oLfbIXgaWSNVZWJQ9ideosTwFr2qcC+DZIlNW46itLQGaWnBxS2HnN0JTZolorS4huXcVzu1lzL91LrZvOANOnZtSu+XYNazolp/d/DgoJa8VSQb/zOgCfh/ENS44EHpwFngCo+LMnthQEprvLT/B5jMHv9zpQuic0S1bbHVZ1n+EVUBv1VsGh7uMhav7J/vz8jD2idPAgSMadITPyjSyoX1mdJpkMUnQhfomvYUlSG/phqPLluKjXl5QZk+9peW4s75c3HfoEFYXr8duXXl7HePVycJF2I/ZEGDYgL0aS7c2nIgtp8oxrbCfPgcBpahh6+WlR51UBvz9+dgifsgoxklmi24rG133Ny5P9Jt0Reoabuz8cRSid6QLL68fg2dn6g8WYog5TiLKWAlFDgYiw3wNFVYwtkgSv/SS5Ss/OTaNlMu/OB0haFgmYvo3kipT/0W6ChW/YeHDcOVPXpg9sEDeHrVclgNRoxu2w79m2WGzVnKUPPutgjKoSSQuhN5vDRvJbPik0BIgv0zC5dj9eHj/m4kWMy4dWh/3DK4H8tKc9sXs0SKg1lh/ZS401R8SS64xSypgoD/Ll2DC3q0b1TFQVJgJnQSqSwT+nbBh0s3Mau7miBLmx4YMwxFy5fgeEUFvDYBhvqQfPsh431JfzGl4Q/rdgVZgMP3BTgnubjFTC50vUzgUbxjw84iWZ2N9cRLDjQ0tFULPDI6/NlWg81qwv1TRuG264bj+MkyZuFs0yoVJoWFkATyO0cNxtOzlorrgDIoXMcxS/bjF4kVaJXYf7wIC9cfQGWNHenJsRg3rBvaZP46b9m2w/nYn1fi/+5M1sNAPG01SyIpx04fdJJV1lDPo2u1GaZeacg+UhjxHCR3d81Kx+Y9uWxu038bso/j64VbMbhbK5w3siusZiMGdWoBwc3jy3dWBE7ZyDhCWQCUn2e5ymyzlAS8c9cEpMTH4JEbRuKp53+JniWIPA0eH7atysHmFQdw10uXYuiYHozOFEbfEAQUUl74qB0TTeAUGOqO1cPoCA7uJZidOuibkZGggXZUFpTU5ODECYkpsXj7+9vx/n/nYVlOHvNQU1wFUYUoqw8r3Ka4DvqNFaAKbdiggzfBLNKxpExAtX2aIW5HIRPymRGAvDE8D5PFiEc/vhntugdiYnKPFOPLd5diy9rDfuMHZ9SBs5lE+pAK9M7I9WBYC3QYH1LxlmoJEL8xziqmkiRePnOli8W4BMruRbnkIzsfpJOT8B4elOdJsfnjZIhCxKouR6t7IIDRk0IFfINRj5c/uB6PTPmKCfk0l2hcaA2gWALK/sWVB+IfWPy/joMnySYK+lR53O3D4/dOhdVmxrBRXXH26G5B1XP/LuCJ2aoy16MkHvvbQRPw/yCkmmPR3JaEAnslm0BSfG1QHBIJLGtKD6FXWjrMluBFxmjyQq/3wacoFhUN9d7I2Qauaj0IrePS8PXRddhcTqWyBXSIp8w5zbCjqDCqlYH36Fg/1CCWgAcqa1y44ufpKKqqC2tLFh7e2bQJsVm1jAPO0v+yyj8igvLoS8rH1tpjOKdlV2wtzGfeClelRQ5BiAoSSl1SwFS5047P9m/BzCN7MPOCa9E6Xr1wU53bjRdXrgpssIq0p9MFKVAXZnVBoiI3/8hO7fDc/JX+l43eoQOXb4A30Qc+Rip4RUV+anQswBrM2iUKGEzHi2KtJoGFKv4Sl15HioGcLYIE5BDLIgmjMUYjS1s66POPmLdF5kd/sWs7emU0xafjLkaKTcxqRFiWe8QfLByhAyJn3MDhxy17cP2wPpj05TRWYVZ5q6qdLry+fB3K6uqx/2gxDp4qBdV00zk4JgCLWXMCygz7LlX5lcWLVYdywSnfgyrjQl8TLRZc1b0H+04pLT+86WJMef8nuKRsEkxwsIoeku6tmmLhgcN4YvgIvLB6FY74KpgHgRStUN48ne6+MUPRLCmejd2+/OKo/H5GN5aGjmUHooKmVBuuvmHFUUfOI3pPkyXYDXhqvY2iGylhs5nQtVOzsO07ThbixQUrse9UCZt7lD7Q75ThOIzs0g73jR6KVmkBJZW41U99tBDLtx5ic4YV5eGAbxdux+Uje+GBa8+RePSNx5q9x5j3iChYBFLs6pobWKGtIOoNCfd2L/SOwDykM5Ueq8Cnr1yFT5duxaLNB8IrCZOiYjZil6QAiM9fYKcNe3Oxfn8usy7Tvhf2CqY/sbzsjVgEZD47c7T6gFE92mPC0G4Y3LklGxOqfLto+V6x0m0DbZE12Jlghjs9Bq/8sI60SDRvmoQrJ/TDRaN7MOFsd04+3vhqhT+FZzSFQbaWU6Vd5djJIIvuyRPlAFE0ThP7D55C9r589Oja3L8tJS0eHc7ugCUnC6V3g0yTEWNs5AWcMiYp512kZ4enwHtmQTagrndzWAvr2BidNawjug9si5GXD0RMfGCtPZJzCg/c8Bk8Hm+QZ5OqSnPVTvCJVvikIFLKPkSWb12NK2JGHMaeiTUyqgx5QmRQWsmgAOSw3PN6wGIC53RDIOHdXw5XBRL/Xl7OaD55UmLgSzx9OkykommZWSn4fNa9WLN0HzasOgCX04M2HTNQdKQE65fuC78PvABjeT3j3+vJ6s8Be3eeZP3cuv4wvvt0FV796AZkZAbWCA1/DWgC/h8EehhubDcEz+xcAK9Xycmgl6MAg0HMglPpsuOVPSthNtOLRhHIwwHxSXZUlsWJb2FGU4m8JLZMVFQ4VMGg1LbsQwtfmasW92z7HHMLN8PpINNKlIJGVIDLJUBnFhe40MqSfD0rM4rC6toGOMwCXDUmGBKdcLkNQZV8mV1JSrvL2oSAnRX5eKbHhXhjo5iJxVNjhom4+I7IEi/LZU5BqAqQElXlduDeNXMwd9wNqsctOnQYDm/gJUjXR4qNGOFElCoKRo3sxZBpDWmWGDzSM5gelBYXg6v792TpBOVh07l1MJVI+ZjlbDaSx8aTJL0EaV2VM6yoMbRY1Ukp+wzJ8zZJyiC3d6WYj1psO1CD4eERw/DYCkobKVryZOGKsKe4CDfP/Rk/T7rabzGscDqiWqn9Y6wTcKioFJ9u2MqE+0iW9q827AwS3ny2QMl0f0cV/8rZSGiT3enGVQN74rs9u4OVSMXYZMTG4suJlyAtRpzPp8pq8MInS+Ar88Ak0Xu8NqJfiMLsroJT2FV4Cl9u3M6KZj0wbCiWHDqC/UeKUFhUw4QzQsu0JNw+ciDG9enMhPsbZ81i8QhiklR1yEGFJAhQ5hy6vawqbUNinlQllCgR8v3fVlSI7bkF6NuqcbUeQkHXsWbnUXy3bDt2HS9k/dDHUiYYUbCWnYXPTzwPl/TuGnb8m9+twoptIh2JLKf+CwTw4/JdSE2KwYgB7VBcXceKo7XLSGkwmxUV7QodCqqmWdfcCJ2L+PYCu/aEnHoYIgSnZm/PxdM3nY/0pFj8sGwnXJ7AM0y0nMMFZYAzOsWGngW6zfN35KBJghmuGhd7/vW0zrDMMBFceXRvjTp/4CztMqRrK9w1YShaNgkIPotX78P6bcfE3PC0xrvEZy+oRVKYXF7G9fam0kMRuN78U5V4/aOlOHSsGOef2xV3v/CjyC/XBxRI9Qvk/Hnro90JvU9gymdEsMVQbTvw0eer8MGb1wZtnr9yryIFLBc+3tLa1hCC+kwCsEkHPs7GPn0u6Y8LxohKvBLvPj8HHrc3LP6EWazJwOETYGoazyzv/fu1xoQJffDVG4uwfcPh8GOkTngSzWLWK0mRY8qHM9rAS2NG9R+cbnBWCwSKwVKstTqiR/kEeNo1ga9ZKgx1bua9Ie+Fj2g5SmWZxeuRNST685SSHBM1zSpZ3M8b34t9CLu2HsNjH6oH4sg6q6HeBYGUBn8sl/gHeQKeuPdbfPLjXaxo298FvggUneg1l/9e0AT8PxD0EvN6WaSXYqvoEvV49DAafeA5AU6fBwavBXpTcI702DgHfF4d6pxm8AqLdzAo04yAGzv2a1Sf6MX7xO5pyLOLAUBGKqzVAKlZIDqNWw/OxIOZXkmO9OoguKWVj1mKGn5IfG4OXhZbEGK1l9ogwV65XphNejw94lw8tWq5WKjIKkAfpXgmCU9kGQ87ryBgT0URCxrukRq+CJ6qqWHWRMomJMTwENgbL3DPBIrO43h/QDMJds1s8Siwi0FWZp0Bl7TqgXu7DkeaNZwK9OiYEWwuzNy8h+UXlwU3yghCAhaz4ks0G6ooy1uIziGKgiToxcSYUOt2i5QVqV+CSYAvNoTPQPdBKnh1eY+uKKmvZ9d1VsuWuLhLZ9y/eL7Uhsq9EQRkFxdhQ/5JFnhLoKrFDQn3BLJcWoxGzNy5NyqNRukIolvujzNQg4K5I6q2HLo1SceLTUbh7Y0b2bXJtygzLg53DBiIK7t39wcKuz1e3PnajzhFWXIkTxIVKPJIt8d/XdI/8/bkMO/G62PFTEIOtweFlTUwGfRonpzgF1g/3rIVW/MLYKCCnXWR6TzUsMEuIPFYIAsJU6psREfRqWdfoR18kvAo3ySp6ux/Zi7GogduPO00sGTpve+tWdh9WLRky6YGm0MM6HWkkiAtXsUbS9difI9OLFBWRkWNHb+s3hOVxvHRrA14c+V6/0PdoWkqHrpoBAZ1iMzJ79g8za9AhYIKjtGH80TOPCMLHOTZuOeyYbhp7EDsPJTPnrMOWWmoqnPghpcarojLnkW9+EyU2XyIlZgv7gSiRUiVcEPoESI1jsoDKvsCbNp/Ate+/D2+eOgKtM8Ug+xnLdzlp0X4LDqWllbvlCRdefrxPujqHPC2kTyMKvd4zpJsbM45yRQsdi+k6sZqMedMuSQFwKaHmdPDHYWCoqO+mHUsLizSPQ4SyGUqpSBgX04h8gsr0bxZQKGprA6vuRLUlvy/BpaVsJ+VRiUViztRcw5RBdZI7QkC7LVOPP/wNejaO1CV+fE3rsTbz/yCVYuyZfuIFODKwdXEJmbYoaE269h9ExWUBmo2yFQd6X0r2KzMis8qyMeZYUiMQe8Le2Pj/jyW3YyPjZJ+ko6n51PmgUV4/ilVZmPy07tcHrz+/lKs/GmrPzOv6mnpbMr0mSGen7zcMmzfdBT9h7Rv8Jwa/jhoAv4fhBN1JXhh11LpW1h4EHtYybJvNFI1WQE8mdMQLODTc5WYXA+L04ny6nhWVjq0HRLuuzdNwYimjXvQcqoLsLvqOMvSY+AE0ZVtc8Jht0R43KXFlNdBcOoiZG1o1KnFFI8q7y+/V0AQX4TM66nTI90Sh2t79EK6LQZPZ89BncEOn9kE/qTsvuSCrOCeZC8Ei/qbg/bMLi9SFfAp0w97cVp4JuCrXpTAwefRw2ASLY9fn30Nkkw21HlcSDbbYDFENoOR0JF7ohwGh0KVIvoFxdu6xeJHsrTAePdEDxDESqtX9e2Bh849C3uLS/DLnv2YemgXeBNFY4YOrviPzqHDyHZt8NLo84KEQbI8r8oN8OLVQMrAoiOHmYBP6S0/27Y9cJ4IU4MUEqq+O7R9CzFHfQSwID2FnMGqjzY0b2SnFRsOAemxsTi7TWtc1q0bdhcVoc7lQuukJLRIDA8GXbn9CPJLq4MUClaBNEpxp2nbduPOEYNYrnniobdtEswvJ4/H1F272PNKigLRbdh8DbkQNh95IOZUcPYR2ouCaG1uHvVNdf6c0/4OSAWmfCre+byKamw7XoD+bQKUiMbg5a+XYc/RU0Hb5LNSXIC5CnCRXOkDqkoduOiFr2AzGdE8JQF9WjeDs97DBPGovjmiOngkhQ3A4aIyTPlkFj645WIM7RTIg6/EmL4d8cas1SyHvqpgKQiwFYlKbSR06xVQIGKsJpzVU6z9QSiqiGIJCDpP4E8+yYDWGek4vL8Q3lhS47lA1hflrWL3TaQaKkGWdVIMn5u6BFMfvZptyy0oVxSaExUX8lSwWAOpQrG+zgeBONfReNY6sIBgP8jgYZICWfkQHdEMeBP0GD20KzLq9fh55lZ4I6Q5ZNmb6nzgks3sPsuWbLYmUx9puZPoNsyzpDgPeR1LSmuCBPyM1HhU1dgbrMWgJojIiglP1mqWj1/W8sUMSjK6dQv3ZBWcLFc/Ydh+FUECPqX3fPSVSRhz5QD869/fMo8bFeBiefqVSp2eg9eqY/0ggZvlqY9wDlKW0jKTUFxfzyzzgskAT5N4eKmIlF4HL8dhx9FiXDiyOxYSfYvnpaxGwdfMlEu6DywTEcVkibELBBLm5UDlydcNxfixomVeDeTV8Lq9MNtMePqVOdi8/Tjz3DQENssj2P7o/Ns3HvlbCfg+zYKv4Uzh6V0zpBdAZB1ZycunfSdmDsHPBRsYl5ulFGS0Ah6jmnfCFYNH4e71P6Ggpl6qvS5AZ+AxLLMV3hoYyHsfCVS1s9btxP8O/QKLIdiik5FWg6pqLyqrqFhG6BMtuoM5wQeBxQNEEJBYcaZo10umbvXiXMFCPgmaHC7K6o5Yo2jZqDZUo84gvrD1aW5wNh/4YjOEGvE1wcV64Y4hbnUUax9IaVAfozEdOuC5lStZFp/Izgy6SayIAV4ZNB4tY0VrW7wpcuEhGW/MWY3s3FOqTBR60ZPgz4R8+TcDYErS47PxEzEoSwwg65PZDNtyC2Cq18NploJ0Q0BZevRuDlP69w+z9LqYBSk66IXh8Ihz46NtW8QATF+gPHvotKCPtUbPMrKM7dUZzy9fzeZZKOjFRFxy+Th6mZ2OY5cEZr1Jh85paX5FhHLsR8OqHUeC6EUk9DTk5vb4eKw/eiJiOkqqtkx1AFifDIAzFbCUBVzX7FqlWIKYU7xqzAgnFUsy1QhwUzVZGeSFpzHSU2GmwItcieNlFacl4JdU1mLploMRvTBydV0PBRc7xL4UusTn7EhhOVbtOSZypanYGnGiTaLXiR1LCqpLChwOykgiCa4GAc//tBwLHrtJlZ9vM5vw3xvH4v5P5rAD5LSGrG0OSDNa4fK4UNOaKr/ReHlhrvSytkm46NyjOVq3C6QDDkXLjOQwOqHa9Ssdo+R9OmKxo7aliT2TjI4h1SwgWqWcL56n6rkRQALyvtxiHMovRYfmabCYjHBRcGiYhVcOzhWpQFRJNIjS4uOhk4RaSrnokwJOQ9th94SETekR9Vgp36eeeTauG9UXB7afjCjcyzDqdOjVNRPHT1XB6fIiKcGG1KRYbN0i1kCh/tFcDh1KOueLr8/HJ+9ej5Qk0TV20ageOPBxUYNjzthPCoWBtrEqsf48+ZJwK3ko9FRHQM+he/cstGwpekeUIEG9MYiJU7eWL160G6YKJ+Pc+2xmdUWLYiooo028CeYKV1SFt3mfFjgRq1NNV8u8iR4v0lPjMPOzKVi29gC2bz+B7ZuP+SmLJNyzv9krV9QwKVCZsgGlJ8RiyIB2aNIkHqNHdQsqcqXE3g2H8MOb87F92V62RiU2SUCpzQw+Mwm6CAHHQdeB6Cb+iJmJ/qLgBXofhF+Q2ra/KzQL/h+AKnct9leTS7yhQBlRyKc1rUVsMv7VaSImNB+Mhae2osRZjSRTLEZn9EHn+CwmsK0edy/WFx/D3qpCGDk9hme0Q4eE9KhnyK2uxHu7NmH20QNw80QxERAbG4+kpDoWByAjKdEOo8mHqqoYFtibYo5DDW+Hz+Dx02bYu8ilh89OvLwQqyXFFHgBg1VMZ0YpPEWFQBIkLMzQ2yBIQEqzxOH+rmdL5xTw9dENQV5dXYwPujbBlQ+9dUbwXnF6s/cDZf+R0msyZUgPDGumnnouNcaGS3t1xbT8nQ3274Z2gzGxVYD/WVJXh6+378JP2ftQ5XSiSWwsruzVHdf26Yk4sxk1did+2bI/qpDFrNskROgpf7XoBiaB/F9L5mPNDbf6KRPE89d5OZhL9IyuxJspcwMJWTroHZQST7Qlmyl7QwjiTCZWLVhOX6oGOm/7lBTmzVh+7BgTeBj1iuJT6Q2vDNp1A6ZKHZrHJeDTmy5BjNmE8d064Zfs/cE0HZrfYnyrWM6BhEKadt4GmWGi5V7y6NDL5MKPv8GXV1+CHs0yGrhLImc/aMwbuYY7FbEYoVBSVwiUr97eVFTQmHDOvFRAYiHdJ0RXNusERpHx03EEsdCVi4yhdBrKusOrp/9sLHbk5DdIsSKqGPU/nPcs9on4+gzmkPzoVAHZRnOOaGUC9A7AWi5Ze6VrLK+uwpLtBzGmv3qBrmFdW+O7B6/Cl8u2YvmuI8xD0iw5Hmd1aY2FWw+griUJ92KDznQTE3iTDtrRNDkBj71wadTrSkuMxfCebbEu+1iQ8uC/buUX0utpjpnAalaQPusfBjlwXQpYJbZeY3C8qIIJ+OcO7Yg5S3ar9kFsmIOxygV3Kkn8UgxNjYddq7zm0b8+IwdnWoRMMCwoX7p7eg5xNjNemzIObZqlICMxFh+8t4wFVqrBHaeHM9mAlccpmYHYVlGVE6NaJ8NiNrDjZEVVOT/kvytKanHDfV/j2/dvQgKlGx3RBXOWZ+PgseIw4ZbeYd06NcWh/DI4XW7onDSg0thbFK2HuXjpWeCQ1iQejz06TvU6DhVUiIkJosmcHNBDJf3otrUHsWrqJrHSdDXP0nVGosOweyJnt1FZVmibTq/D0bIqVeFeBv22ZtNhjDm3G0YO74yzerXGzQv2srbdaVbRS6RmkNDrUFJnxxWTBiCzaeQg15U/bsKrt34qUa/EflQVVzMBUFdRB3fnTBjLgxkDaueKZJGjwledup2eN1HD7w9NwP8DkO8oga4xtddlyzUETMjqinJXNVrHNMFd7cer7ksWyWEZbdmnMcipKMWlc7+Hw+vxC13Ed6+ttaK+3ozMzAoWByBupxR7LuiNPGx6My7LHIq3960Wa8Uo+qoz+5jngIJeaWVmVlL4EJteD4s1kOaT2qOgWntpLLNGnNUhC6tKxUC9aGgfl4qvRlyDdKtolaj1OnGiPrr7lc5FdCPGbGFEZ10YkZvqDEw/uAf39xmq2sak7t0aFPDJS5JkDmSZya2oxKTvpqPa4fSPb0FNDd5auwE/792PH665AjknqVR9w+XWmWuYpYYTv5NgRi7eZceP4oJ2Hdi2wa1biEXSwMFg5wB7+Ms+0WpB+/RwCxe9XK/t3gvvbtkYUeije3lp525M0FIK6UzIp0sgFzFl/HGTZZNDr3bN8O01k/wZXqacNQCLcw4zmoL/eImKwNpX0An0lCbPIdFRIjHDWLQjQM4baqM+3o2bp83CyrtvRozJhN3HT2H+lgOoqLWzQMuLB3Vj3O5apwsHKsqCXsCyAN4Q3t++GQdry3BNj55oGUL9IQWpS1oaDpSVBizDOsn74vfACOgQm4JjKI14DpmiRV4FGg/i5dM4+AOOKTDXQdlPxN+Z1TxBj2Ed1ekukdCY+Am/RT5qtJ30R1BKU5EXTAKJThBYka7QQ8nC/9qHS9G7TTM0SQlO3yejU1Y6XrlxLBNCaN6VVNbhshe/gZuCDpn2G+gZWbIdfRLx38cnIzEphimioZVylXjo6nOx73gRKmvtQQK2oKSJSYYKEu79v8tNNhCgGg02sziwk8b2xYIVe8ETVSP0flD7bh/0lQ4YqBZAkxiYqjxMaQr19Ok8AqzFLtgzzEzwon0Mdh8rJsWaIv0gRo+Hp5yPsUO7+NOiUgGofz94AV5+YY4o7CnGwROjgzNVQS1UXOyynUfQpl0S8o6Vi15VF6+qtFJrNWV1+OqnTbjvhnNYLYZ3np6E/321EgtX7fPHWVB/JozugYREG7KPFTFSJRPqGc9bPr+KQC2R9keO6477bjkXsbHqHtO5i3fDE2+GqSqyZd1jNeCJu6bi7sfGoX0X0QPI8zzee262P4CW1mFLYR2czWKD5rxMAyWbkaXGC8GoF2sMKOaIaPHm4NNxcFREFp4Fae4dLqnApfd9xrZlZSTCG2eA3uETC09FAa3T67ccxaQJgbg7MoBs2n4M23efZEWpVn6xigKjwDmCaW7MK1Vth6G4mqXiNJU7whQVUlBMFgMcERQUmkexcRYMG9kFfyf4NIqOhjMBi96MWLMLZbVRstNQEJ6OR5zZjWSbF9/mz2KfDEsyLss6B+ObDYGuAdpNNBTba3Drslmwez0qL3pKEaZDSUkCE/LZFilLIRkORjXpjXf2rZZ6GXIk20mAycYj1heLtslJOMQfYIpCaCFEc7wbemsVqqpi0S2lKVaWiAJ+NJrOGwMv9gv3Yk8b+Yr1cBCcrKSv/0jl9RLe2rEBnZJTMaZVOAWjbUIK4/2TlyMSiC7VJTngMbl/zoIg4V4GjfeJyio8t2wlJnUIz0oSCd644Ig5oqJsLyz0C/hdmqajX4tM7MwvVLUI0qE3DOrDuPuhIGWkpsYJi84Auy/YmidTWZ4/ZxQTYgnN4uJQWFuraFtymZOb2ESyvoC4REtQ+saWyYn47vpJeODnBThSJs0r+Ue6tJD0k8T/pjptspAZIH2KioGpWhRyyXpHcAoCai0ujH/ja1TVOeF2+2AgOdAjpkWctmoXLh3aDQXeepzi6/1GZ3aNRClxUKCj+gRkMqtOQG5tFb7cuQNf7dqJ/104Fue3C+aY3jFwIO6ZNw9qIA9Lp7Q0tNUl4sSxsshWW0kg4xSZgmThnvMIiM8TKU3+gD+ivdT78OmM9bj/2rNZTIfZaGgw4LZbm8hZNWSQoBH1GfM/TgrhXpnLX1JGIh3qcLjx+U8b8Z/bzo/aD7oW8pD8sHoXS3Pot34GXaMAh9ODyf/9HuXVdvbTwM4tcf0F/TGgc3hAb0ZyHL598hp8Pn8z5qzf5y/8Rcuq6FyUPXzBKWVpfssKS5jwwzxP0VNoxlhM6NdRpNZlNUvC609civ+8Ohu1dcFFkXjidcfpwbWKY6lAdS6fmJ4zilJIfHmaw6ZqcZ3y94JobzU+rJy1GxcO7hx07MjzuiEu3opvvlyLnANSsLVeB2eC5DVQzRLE4VhpFRAn7uOJ17OAXEuVLyyuhM49d8Ue3HntcBgNehYP8egd5+OOa4czSz7d2y7tMhBjM+OmJ74NVnQakV6V1ienjo8o3MvB4N44MTmCsSpcm/fGm+C16lkg7r8nf4p7n5mAPQcKsW7NQVRTtpsEC/R2D3QeHwz1Hthyq+FJtDDKjigVEx1KF5Qek4R8xpVXxFjQh5S1JJsFNfb6sDWAOZepmwrLOiGfio01tcFUGVlB8Y+5joPTFVjD8woq8NCzP6HwVKWYccrpA5eaBNCHCkmWVEJXXCX2mxRiHQd9YSVcA5KZgm6scASlCh0wvCNufeRCfPT2Ymxec8gfJM4O11PcoB7PvHEVTJISq+GvA82C/wegdUwzNIuJR0W9EzUOteBV8WFJsLkQb3PI6csZipwVeO/wTzhSm4d/d7zytLNmlDvr8dzuhVh0IgdOsrJHBAeXy4TKKhuj58hoE9sEFi7en9UlwqFIijdg0/g78fSOucgtUReKqesGI88s+4PTW2DqESuqvQ7Vdwpt65yYjs5JwfSLOKMFHeKb4HBNScT+MAqHU89SeXKUzpMEJ+KOe/QQGC8oYGN5bMMijG7ZPkx5ijeZmfdgX1VxRIsy7TO8qeji3VtUzAJfI4GE/oU5h3DfkEEw6nWM3x0N7iRKexm+PfT99/ZlYzH5m5k4WlbhF8zFwi8CxnbriNuG9g9r48fde/HEwmUidUrgwRHDSlEzrF/TTFZteHjLgIV4SFYL/Lh/ryj8sbSBEkWBHDdiFk4cqCiRKDSBTnbKSMO826/HzvxTOFRShpp6J95ZuF61gBG1ZykVLdhkBRcrZnIw1QCm2oDlnw2/VESIcsSXOOulwZGcNfSedYov3h837oWHMsZSWwmigiALaZYKwJ4h0Y1CsqKwe0b6OM0lRk0ScM+C+Vg++UZWfVfGBR3a46rO3TFjxx523T6DAJ1RTMHZOjkZn028GMcOlWLp2pyI95pxpWO5IE4+OXmoX3EFAW9DqKo6Y8kuzFqRzeYSCVHjh3fDdeP6ITVRvYhbi4wkDOzaAtsO5EWmqZyuiVqaxvJhhgY8I3SOResO4IEbRjLrbjRQ5pvZK/eAqxUg57GiQm7Muq6TFESfgKriOpjofvPAzg3HsHXHcfzrhnNx5ag+YW3S2DxyzUj8+4qz2VykoN7Xf1qNtbuP+fndMpPPDyr0YxNgskvpaxV6t+iZEMSYjghr8w3n92dB2jJ6d83CL59MwWNvz8XG3cfFNLVUrZoFmuvgaCkaNGLzIuT0VMBQSwWrAn2RIf+9/0Ahvv12A26+Obgw2oCBbdmnrLQWdrsLH7w+DytqRSW8QUjXSQHCVJDMUh6SWJCciU4PqmocSFNUPCXKzoCewV4nUtBOF7TG1dqjj018nIVdlzfezCrpGuweNldYcCwFzJKnyeVjHgyv4MPrT/4MIdEipRyl7EbErzdCX+eCvt4NnYeHudQOs+SI49okoYYVsQp51ykL20igFJg+l4+K07CUmDx5wGRaj59XL8Y2GByUAlvMpkbBtO4kM/PMRFO6yVrfWopDqLe7cN/j01FZWQe9ndyCIV4ngx580xTAZGK1JDizSbKjCDAV18OdaoMv3iwqlwDGX9QH998jKuNPv3YlVizcgzkzNuPk8VKYLSZW5OriqwahWZZ6TZm/MnzQsU/49n8O/j5JS//GICrH1S3GID2+DvFWZyAiURIkqEptnwwrE+4jYVHRFmyrPHha561xO3HV6i+xrPAAfMRBbwQqa2LgcAZeRi/0vBon6ir96RgjHue2M0twgftU9EqILMOFB73SMvHdudfBqpMXmEBQLSHTloBp51yvevwNbYdGFO5ZylGXDnw8D85C+eqlNVcvQG/1QkcBqQq7WYXdhXXF4dleat0uHCmqEgWY0FPJvGIHVQIWv2SfihxIJoP2za+txYQBXf3pG8P6T9mUrAIEFV2MKAuDs4Itk2mxMfj5tmvwyoTzMbh1FrpkpOP8Tu3x1bWX4vWJF/gpCxTsShSGnQWn8PiCpewlyQRXcIyzr7MTzUeHeI8ZH42dECTcyxQD2tdcJiDhEBCfyyHuBMf+tuWLq2JBbS2K6+vC+k2Cb5+sZriybw/cNnwAumU2iWioY/EZdrJM0svYB0+SD/YWPtQ35+GVMiLxOgHuWErnGPLyknU3FqAnbmLeAOl+kRDtSA7QnsiKb6H6Tu6Q2glGwEMFt/ShDCEB32Xv9m87WlKOce98jVkb9sLk0jHLtamWQ6rHglfOG415113LMv3ENrUhoVmM6oyVM4W444IHhJQXao/qBER7cj0UMEl0JYcbPy7dieue+BaFyuwqIXjmljHISKHc34FW5b/0Zp0oWEQ5X9CPalzsRmTj8Hh8qK6LzvclC+yNz3wPZ22AUsApxoUVg/MKsFTxbK6QJZ1YkCT00/f/fbgch06UwOPzYcOBXMzfeoBVy5U9AWRZTkmIQVZaIt65fQLiLObAeVQugegjLHBfWhqVu5CAzYRseRGT6kpQe9ed1xc3jQlXss1mI56+6wI0bZEExOjF9LjSPZH7kR4fvdq2ON1FalSkOULXO2fuTjbmakhNi0OLlqmoqW2Af63aAdGKzYJhoXDoSEW8bI2obtq+VTozSJwOaO1MT1IPJKW0nItW70e7dk2YkM7uE/OMmFgOe/pXTllJXhLWZxbgK4CnOgGKayP4Ys3gpdSYSjxw1/mYOLoHKwpGAc/RZj2tG5TFSeej+BQf8yiYyhwwVjjFHPpUhbfSg5g8JyxlHlgqPLAVu2ErdEHn4plnJ+ilynLhU6VjnlG1Ys0m9O0hZgJatGIfyirqwBOFKlS4ly/N5YOeopgVSietB/p6Dyz5NWLbNiPSWqbgxsnD/fvoDXqWN/9/U6dg9ronMGPZw7jz4Qv/lsK9TE/mVT4sTfc/BJoF/w/CmKaDUeWpxTe5C5Aa60Cdi3LZczDovTg/szOcvBfbKk6BV81KTjKLDvMK1qN/snqAmhqmHt2M/PqGhfNQVNXaEGOpQY/ENmgZ0wRlzrqGvNDs97nHD6DaUx91P/rNZtLDrDegU2I6Vo+/G98c2oYfj++C3etGqiUGN3YYgKva9onorRjXvAcO1xTjy6PrmfJEVBmxE5SPn4NHinwLpQgRdCYBgo9y2wcW7V9O7sLwDJH2ImPtyRNwkRmV9qN8/1RASi4y5aEcizrUCh5sO1WAIc1bIN9e1ZihZdb7ByeMwNGicuw8XhgobCXdI7Kku9IEVboHWY5HtAwPCjMbDLi4Zxf2UYIE+mkHduPLvdtxtLqCLfbpnrggF6t/fKQAb7JoUoDwzQP7Bv1O9CBbMWAu14UdRxlgDE4ONe0EFJXXYvvOk0yB6Nk+Ey1UAr8en3Aurv9oOpvranfYlcLD2SSQqYcFGacK7GOoFvNAmymAM5JYI1FdaBqEFgbzWTk4iOcvc32lrBTkhfBQ1qXIiaHEStMnTuDRYUBpbT2u/+xH1DhES6KS9lZb78LXq7bjoi6d8MOuPXhy8TLomglIrAgX2EkRcaTopFSLAbAixlJq/2ivG6Ycy23xAqprHXjpi6V479HLVPcnC/a3z1yLn1fvwew1e1BeI8YrdO+cie/3Ue5vDoZIAcEqy0iYL7IRJiN6FuNs0bNNvTNtNYqkmgWh56NukEBtcIjpBNUs16RwPvDiT6hL4VCpUCaaJsXhsUnnYni3QApNAikCgYuQPBNKZx+7V5SKku6LAFNdIFCcYKDAYpdI52HpDMFj8sUDcM+EYRGvMSHWii8evwrvzVyLBRsP+GNzspok4ZaLBmHL3H3YUFqrmudd7qYsxEabI7W1Tpa+MlORvpK48D6vDyaTSO1KJ69Ppb1R1XqDO0EGCR0MZA2Xx8mqR69uzWFrRCabS0f1xNINkb1baqBnbcXMHUCxA3feex4SE2OYAvPu16swe1l2IJsLZRqijD8UwxCkmFKKSYFRb4JAx4UGLZMhxEYB3YE5lJQayyzX5BOhelVz52yHucQVdB9IKOfNOjYXyPvH/vXxMFY5meAtd4diBHwWA6twG+bR9IpxFo4UOYmFuGbp3ErBXYCj2olrJn+M/75wGVauE42ARC1SnRdUK6JWXLNC368ivUpgFJ2hl/bBPbeeiwRFZWANfz9oAv4fiCtbjMaoJgOwrHgLip0ViDPacE5aX7SOzcR1m56PKNwT6LdjdYVMYHf4PMi0JcJmiLyArsw9hg/3r2OFswh6ow+exqQp4QCnywiTzoR7O1zCttZ7AsGyEY5ixz22cSEGt44V0ylGUSpaxATyiVPO+Pu7D2efxoIWpn93HY1zm3bC9NytyKkuYmMxLK0Dlh05gZ2evIiXybIUmejlJoYL64w8ipzhggQVTqIMLxxVsGWVEynoVXrrK+g8dW43Klx2fJO/WXqcIg8UVY/t2TQDVqMRn915GRbvOoT3V2xAfnkNo3Z4knmWOYXz6vx0G7m1NFsMvrjokoiW/1CQcH/3irlYdDwQyEx3hAS6aEXIaJ+3lq7D2i1HcfmQHji/VwfGq880xMJcrn4c8wK4BKTm6DDliR+CfhvQrQVuv+IsrD98AiXVdUiJtWFcv86YevsVuP/zOSitqA8aMa9NEIV7sWHlScTMMgkCjJX0tQFJkuL1QrLSMOFTblNhNWTynPxbMMVbzARFQrmU3aPO6ITb68W0zbtZvIVa4CoJ2kdLKvDFhu14Y+MG8Ulwc/DE6RnVgzJXsf1MUg70kPFnCopEezpd0Lm37juJk0WVjJKjhlibGddd0I99ZDw6cxFLN0lKDCusJgVr+pUo+ZbQOMhpUpliGqqwcDCy6tLqoF/6dsmCNYp1l6z7SzYfjBizwM7HUy70yGNE2ytL6lBP8SeKImJFlbW475PZeO/2iRjaJeCl6pCZhr25Rf5nTu+RvEChF8hxzBMkgIelVqHzSFZ0A6NMi1tnfbkZvdIyMCxKbvDEOCueuHE07r9yBApLa1immqz0RLbGpcCIdasbEH5DFMNIMBE/nDyNOQX4dtZmbNpxnF1rRlo8enXLwurDBTDqeHiSQiqnNgRaGyllKPubirbp2RzYfLwAA295G2f3a4fbJwxhGXzU0LNTc1wzrh++m7dN1fAQBMnKRLQkuHisWrmfxRC8/8mNeOOLFVi2Pifce0xceSMJxbwo5LOKvjyzoId5aiLEHjBuvQK3PHQhs2YTHrptFK6bOACffLwCG+bvZcqFN9HECmEFtevjYSl0Mk+BNFTiJTGPo3oNbNmzbar1stz5cnyOGsgD8+Cj05HUVAxeV6YcDRoO8hhE8fjQdrPDi4fuGI2YOFEJP5ZbisXL96Gish5pKbE4f1Q3tMxSv59/J/i0IFsNZxqp5kQm6IfCqo+e8s7uNuJAHY/RS99h3y16Aya26I17O5+LBFOwlj1z/148vGwxjJkBbiTJpHqzFz5XJCGUuIdiCkL6/e3ed6F1rMh/Fy3MUjsqR/qtakYedochqnBP+07IalyV3YbQK7kF+yixv+Jn7K6PrGDIQcEcvYg5HQwGH5IMwcHPh0rL8O7yjWwfPsErFruS12sSFt0Cs+DT1bRJSsLM47vgIs5ADAfU08IfgYvbrzcT7mWKAAm69HF6PVhTmItqtxMt4hJZ6svv92bjYHkZS2c5tn1HTOzUhaXZbCx+OrwPCxXCvR+NcOYQp3vX8ULsOFaA+dsO4J2bL0LZiUCAbXibAhNsyFIVChI2Nz39PTxJHMu1TC/wjxZvwhVn9cScRydjygezWE0AUlxYpqXkKLUHZCNWuMc8Kjh/NJt0bEjbLNZBNLoGhHzKFFJHApvoXZGfgbJTdbj8w+9R63BFzUpDMtIPW7JZzncSVP0vZqILEA1G8RjKNB35ugxWHUwGDs2axaKiPLpnKFIPjuSVsk58v2onlu44BKfbg7ZNUzBpeE9c0L9TWLYZFhxOVAEWyCy26raQFVKSBihDlpzIxk6UFSl2wS8Dy5xiDl6zaM1WFTA44P7rxJS3kUDKSUM5tUMt96r7MEu/AK9CwJen1muzVmFI58l+K+YV5/RC9hcLA/2k+yVZ5JUH0nN749l9MfWnzXAmiKlR2bmIGmSnqrTyfBPg1gl4+qVf8P4b16Jzx+gBzrFWMzq0EOs6yOg3sC0GDW2PTRsOh91o9pUoVXpOtUaCEi1bpiA1NQ7L1+fg2bfmi8qvNHdPldbg1Kp9gNUAU2EtCz5lvyiF/GjuW6kdV4Ke5dyngE82HhI9aOWWw1ibfQwf/OtS9O6gnkbxrquGo32LdHw3bysOnxRJ7uT5o0xLew4VwCkHQ1NQca0HhnrxYSLPRtGpKnzy2aqoXgAKBNVTEcdKorxQzEL4gLFnsIFsNbHxVhZseu5FvYO2k5L01BMXo/7+Mbj/P9NxMDc8Fou8BWoVbwWVFMZhc5hiPAxiimJJRwkDjbXd4UY6OFYfIGJ7jchVTykvS4uqYLal443/LcaCJXtYm3KMync/bsbFY3vhvjvOU61p8XeBTyCDhgoH//QID39paBb8vwjOSe+D3OMLVLnlNQ4zal2kTQd+c/q8mJG7DZvLjmPa8FtY8Cmh2unEEyuXiTvRs6xYP4w20t45+NwsH5ziDDJ/RSTBxxpNaBcXCG5tn5CKfSyPf3TQCz+7uBpD2zTD4dpTYdlkiE6TZUvBuMw+6scLAo7WlqLG40QzWwIyrIFgxsaCqCxBvAXV80jpGsliXGvEsl1FWJpxBOe1acdc9bfM+AX1bhf4VC8EWcCRQesBBe7qBfSNz0K7pBQ8RwF6dMJUkggsgFNOJip3hIMhjsfdQwep9oeq3o5uEWzl65/523IKEy1HbRgEohqxYkSRXthi+kpZAFh/MBcfLdmE4spwbr0Mf3VLteakfOGUs9TDSbm8OYFVgP3hxD4Wt6FvwSGVs8Jcp0N9XEg0bdjJiAJAox1eMbYhyBYxVqCI7qNcz0ES7tl1S88LBRGTkCoeF8yNPlZa0aCiRIa68no7fFLcgFIpYeeRFAs6H0urqcg/6+N49EzJwOfXX4JrHvkGpZV1qjm0/VtUhuFkWRX+891ieFnshbjnvhPFePKbxVi5+wheuXlcUMajzIR4VmmXrltu0kJxEBIVxZkGxKVa8dktl+Hmp76Dt9TLuNYk1IkxDQEh0EOKLgJCvl9f44DHbz8f7VqmR3z+s08WYcuxPJZZJKho1q9FaOVZyZuTW1yJg/mlLC0n4fx+HbFuz3Es3Jrj7zPLtESPNAcM69kG5/Zqh3O7tcWK7CNwsaBoRdpEgwB3gg56k8Aoa6Q4sLnECfh+5mY8//jFp911Ep7OvbIPVh7MhaXcE1RTwJWoh72ZGcZaH6ylIRl0QnDN1UNQUFSF596ZL9IZSVnz8GJaTZeoUFPgpzfRCkt+HcsU40khN47fPBS5k3SdVnWakDyOXpcPD380HwtevYUpSOFNcDj/rM7sQ0GidAwFjdP2999dgp/n7gBP1ZMV6UJl0HOxeO1+6CmwPYLHhz07Zj3MiniOsH1CCovJIMNDu3bpuO6pi9FveEdGaYqEkoo6VeGeoK+PwHvjTsNAER6/G3wNVDm53s2CenUmHePvhykUjfEAExVxfjYWrj2AQoe4CFKbSvwyfxcSE2y48dqzGm5Pw58GTcD/i+CCpoMwM28V6rwOP1VH5ESbUOtSt9ySAJ1bV47PD6/H/V1Gsm2/HNzv55PydiN0sQF6Df1rivWA93rhc+sh8BwrVCXQi5Re0tJ+br0dU49txg3thrDvV7Xpi59PZovtqK2h8naxCCPe6XcDXtk3GyuL9wcpLINS2+Pp7pfCqkItWnnqIN7cv4wJ+HKTQ9Pb4tHuY9AmLtiyFQ1nZbTBnJP7Iv7O5FY38SGJeiOeiAIV71w4F7MnXYOT5dU4VVML3uqDIAlniqPBSYGdVD79oi5iek2/IkPyUoYTcOiBOoMYjk90hjgvTDEGxmP/o3CoUsz7Hgqq7msg2pEaGPNCAG8SUJdG/4qu3o/3bkV/S9OIQjWjbTTwrqLASEeKwDLXOJuIga4eKT0njV8ZHDDE6xjVqsYXPTUcK18v0UgaldJRARIvPCFOLDYNvKL1lbdTCkDqLwtfVG1WFiSi6pH0g51ye0pBvxYpBaWUGpRRQBjlSNEXxel2Fxbhog+m4v37xuHul3+Cw+UJEvKj6RdmswFfLN/GON1KL4P898rdRzFt1U5cNzIQZ2Gt4cTMSCFtyd+tZQLOHdEO2/MKkZ6RgIJTVUwgN7gFFvfiJe45zXUpiwgfRy5Dnt0jEpJ6dsrEQzeMRNvm4TUZCOQxenrGUhwrkTK5JIg50Sng2m8VV4CE54bmHPXJHU/9UAwYHecTmFD8yrNzYNHr0aFjU4y/qDeev3EM+nTIxPfLd7LCVIQ+bZtj8uh+OKu7GPtSUF6N56ZLBhSVIB+K8fC5xblEb1cSjNZtPMzuXTRrZ229ExXVdpZphmg7BBrfD+dthKOZCfZ0oxhzwDjvepZ1h+BOMMBWw0NwBbwpyvt2zrmd8el3a1F8qlqcd0RLJ8s/R0GaAW468dTNNT54LWaAYqRKXUwJ5kmgTTCK1WZVBOjeHTOx83BBxAkpK9UVNfVYs/sYRvaNTFciUOpMJSjLD9UGUKsCLcPpplzx0UUZVi023QpLmZN1iNHRKJhUR8XojBGt93Tc3Q+MQdeuAYPLibxy7N6bx/7u0TULrVqIdJUVa3P8GczCxkHFes/QCGuxTH9qDGi3Ky7uh+mztjIqkmx191+P2QBDfZRUV1R9GgKmfbwC9pZJUeladI4rLxsAq6VxVYP/auAZlTj8vp9uzOJfGZqA/xdBoikWr/e6C0/s+RQlrkpm7bZ7DbB7omcioAVo+vFtuLfzOSzV4/HKSuZ+Z8WJag3Q2TxiRT/Fc6ojd5/eC56yzdRSdhTWkmh1M/AwmHz4+uhGXNd2EOtH79TmaG5LQL69OmrOekpF2TY+GcnmWLzS5xoUOaqwo+I4+71HUks0t6lH28/Ly8Yj22cFbaNHbGPpMVy5+jNMG3EL2jZSyB+b1RmvZq9g6UFVdRGSG+oNUlCp7PYU2Avv053bkChYmCDujFUkHmduXh8bF2UV3w+PrMKwrJbol5qFrWViYCnb3+YTP/J48xwSPfHo+9kHqHG5kBEbi2u69WSFpoiX31hQf3eUFGLW4X2ocDrQNCYOl3fohs4p4RZRg04Pny/cakSxBD4rD71Dpy7c2yhbjTxYoqW7Lt6LdXV5iFe6g5RjGoXTKTUjUlR0UlpKRUpOGSTkU/Az6gA9CUmRFlk6l4/47ICJhGVGKQ0EKvuF8ggdImGThBy/UiYIsBXziCnk/ekGKVtKdceGM4BEfQ1QCYZ6wKIDnIkSPzkFsBYHppWchjMSHYnqDuwoLcb3/52MGYt3YNH6HFaRl9JLUgpJdgkhx9LXvj1bYFXO8aj9/n7lTlx7rhjIToLbqg0Ho/Jy6Vy/rNgDbzzHhHa/7suCCAGjS8zPT5IYjfHs/97E8mPvPXEKcbFWdG+RoWq9JezLK8bNH830F0EKSk8ZK3p8jIokL8wBZ+JEr0gEqg55AOqbEWlZcRH+dkUvw4kjpWzz0aPFmDd3J26+ZQSuvmYILh3Wg9FCSFgL7fNPG/eEtxc0uCSAc6zgFJ3DSMw2XmDKllpa0JOnKvHhjHVYvf0Iuw/U7MAerXD75UNhtZlwpFAq6kfUp1g16zeQ0i4ZZTnlgSxkApCZlYSBg9ph5i/bghQhUtj1Dp4pm850I/6PvbcAk6PK3offardxz2Ti7u7uQEgIwXXxZXEWdxaXXRa3heAhhBAjRowQd5uJTWYyk3G3dqvvObeququ7q3uG/e1/gf1yeIbMtFTdulV16z3nvOc9xmp3gHrFduOk9V/FpCWlw/TbfNCKIF8qBE5NMOP62cNRUt2IwwUVoZQqAtBO+vGz/ZEz4otX40RxFfq0S8PRvFJ2n/bv1x6ZmbGztPHxRqhUBMajU0vU5CjH3IqY9UgQuPGGGhdU5Dxq1OgxoD0mnDcA73+0CR63lzl/ZOSM0Xp731/PC4D7hkYbnn99FfYdLArZ9pCBHfDEA7NZXwOB8hXqiLOCfz01I4uMqHNeck6i03SE78tC9zG8WnJaunZJx19umISivHLsyS2B2kOam1JBOPEOSfVHDZU7TNpUfL4QhYei/F4TpdBiexUkcXr4aAlGDW9bo81z9t+3cwD/d2SdLVn4YuTj2FV3DPsbTmLhmUNMaac1a/I4UO+2I7+5DPVcLdQ6D7xOCrmo4KkxQpPsAqcTvXlRccvvUAvdZ6U4pM4HnUEAsfSZamcLzlrr0TlOiLi9MHQ2/rTta8X9Sw8W3qfC9b2GYk9VCZYW5KHWaUeWKQ6Xdu8fFdw7fR787fAqRbBEIMzhc+O13J/wweir2zSHRHf5fOKVmL/+c7ZtibMYOPZmLThWhyBSLyiSpaFIJ4e1Bfm4vEt/4ZhYNFLYplrjg1ZPnSeD+6FtNXptuPznT/DuqMvx4Ykdip4/U/Wp16MM9kAEtbS5Ga/t3IZlJ49j0cWXM17+1oIilDU1I9loxOQeXVhn1pB58npx16aVWF98mjldft7PHLpPc/fj6l4D8dy46SEFuNM7dmUc/HCaFJnf7GdUnb7GDBTVNsDloVQ94DMJBZZKYVyPmaQceQZYwiPbksBDVMwjNlBi1BgFcB8YF88z5SI/NWdRwtdSoSc9zVXE1xf06TUtxA/nQ8C+0j5oejxURCqbkrizfpgrQs9czPb2sqHQY5ltK+JJCaFAmwp0qX5bbIBLVBxHBmAgzEZa99G69sq28/nOA7h65CDcddVE9sO24/Xh0fdWYWPeaSbfSPMqNe4iCVZ1nJo5qeTkRzMqNiV1meQ4E9MUr20QewnEMOKze8SOo24zD50tLMIocn/nTuyPz7YewNK9uUyViSzRbMR1E4bgxsnDIvj//1y1jYH7aDUN1BeBRfElnXqNOHdUbC3OfyghjsCclKFTvhCooZTH4oPO6g/QDz751xZ06pSGMWO7wxCFinGspCp2R2BymIgGx4E5ylSQm6O3KIL7wtJa3PLst6xJkRQdJ132PQfOYN+BIkwc0U24wGIALQK/s84biCn3d0besTIG8gYP7MiA+LU3fywMST486Xukzujl4Y7XwNAQCo+J4+41CaBT4OMLWU6tRoWX75iN9hlJ6No+hZ3Hj5ftDC2M9fMwNFCDLtk5IcUapxc/frMPiz/YHjKesWO646H7z2NAXsmmTO+LVStjdxTnrB74xfEqmZRF1ja4oa8TsoN0xB4Vj30FFdizoAagYnedhiVcidpCa/LoMd0wYKBQ4+V0enDPI9+itCyyV8ChI2fx53u/wMgRXVkdS2C/tN4YxWaLqTpoFWg67JomxRuF60OaVb9edmwx1gtygi6aMwTWFieO/3IaBtouOSq0f6k2wusXsiHiQzHkSg50t28lYiOzN/+2HAvNRoyf2Q8z5w1FXGKws/vv3XznimzP2X/b1Co1xqb1h9uvwlf8AXBc6xWFdC9esfV1WEVqQ0JH0oJXo6XSAq9Ty0A+AXhSj6E72ucijkOg/zrUZg8MCZFpOwn22LwupJtMuL/vJLyR9zN75gicWmEJV6n8MGg9yElIxubSAjy1e31AvpL+/eLkAVzStT9eGTMr4uG+seIErN7olAwCqFur8nGwrgTFLUKaeXhaB9Y4LJr1SszAnV0n4vUDWwA99Vhlqzl4OyEDcf8qPzSJLqgs3gAG8LudMCTyAjAi4i1rgMQzp4cdrsKiR9KeXxXsxd9HXYT7di1l4FKS7SRpU0+TlmUJwsE/gYTT9XW4ffkKFJTVo8HuELILpOxj5pCabEa8UY9B6Vm4pu8gfHHsADYWF4hz4g/59+sTh5FpjsMVPQdgyfE8FDY0QOVVgfeJ6zgXWaeQkWTB95ddiZOl1bj2zUUsSurMjLGwq4CWrn5YijjoZHWf7HgNwU6f0cwtUVFaeXAQMJ2c0xkbKguYwyI5KAFetCtInWEcdj0Pn0X4DAF9Xb34HqsJCX5RUtJRkXIN83AFzXZ6ADuTOegbJGUYQTWH8WdiFavR5kj/3Eu0jFCON9GRJLoLa8Yl8ozpWAjkWwmwRilCDbd6W6Q+eWF1A3ZWlcJvEYqW2W7Jn9dyKPVb0VmV2KaNS/eiTtPGOI9sm554oQCXCpFJA0TCDHTOlmw9KnCv6VkvbrrR5sBba7ajsKoOL145K1DcWtNsxa78s63u2GsWtO691FiNmm8SvVBLXHJRGECeuKEyE+LIt6Lr60pSMYAvGUVtFy3axQB+NNNqKPvXSvaGmocm0WQIMpaGdFNEAziyVz/bGKReETXCzTNHTYiX8Niy7RTo0qJj8ZqUKSQEKOkJUWtzYODQjkxis+BsLf72yopWKUzMYbOowTd4QxIdrJeBrLDWRxr9dO36/Nh7rARThgclhaeP7ImPlu8M/K2nzrYijg1Pntht7gia585dp3H/Qwvx3lvXKfLbCWAPHd4ZB/cXRVKEpG6q5Ei3eMTOtWHGsrRUMO9j9yovRq/pvDgzjcI9Ljsv7GlBcqgONzZtPIafNx/H089cjNpmG6PmRGybHqk8UFvVgh9XHgJP0pzimusxBQMNVNfgTtBC2yQ4vCHnxSME1YRIfvAdGqPfoA4reA7zZGUBrIsvGorBAztg6/o8eGmbIjUoJKIhfUGrhpc68YpywZxGBQ1lMOxuQWlO3hMghtWdbUCDtw6ncsvw3Se/4NUFN6NT9wz8sYtsefyv2LkI/u/UnD4BcGvUfnh84SCfh0nngVnngkYlqImTQ8BBw+KX7Hs6H5JymtBwNhFelwa8Ww2fxL2WnoJUcW/yQJ8YCbATtEYcrS3Hn3d8jkZffWAx6Z6UBLdXixKbgPK0Gh8bI60Z+Q31yHVaFUHokoKjyDJb8NfBoXKYJPsZomWvYDTSSzd8Dl68GWko5+X0wovDz0ecTllPu39KJrgWDfhmDQOvIVFdlR/aTDs4oirJqUtaPz4v3wZDhhl+uwo+rY9RlmIZLQYbKk7g2cEXYMX0m/FF/l5sKs9nx9PFkI49VdRxV9n8bh5788sCw/JxPLyJQvVvma0ZZXbgVH0dFh4/InBFYxSfvrtvN97evjsg8yd0nFUJjb7Ebr5MrY2k8cxx+Or8y2DQaDCgYxb65KTjWE11SEG2ohFdpyMPTbqgMEMPNyp4pWgqNbxSjO6LWu9u5b40EUZAaGhWNh6eOAFf5R3CropSaDkVJuR0Ql2THd/n5jGgREDSoxazKtJD1CxE81nHSk3kOOK0WrR4qaNl8HhcyRxcKRpGKUg6KXQFpWk21vrhSA/jtgW2RU22hOnSsAZhwSLacHUXonl8ePEcbCkqws7iElS2tMDu8bDiW3IEWtMdN8ua0ZARyLl3wQrYXG7FSPKe/BIk9jdE0l1kRrvs2T4dCWbh3iHJyiF9cnDoRLARVMR3IAIWmZHMJ8mGB9pQUPBANiaaF8r8yK+rHw+cwNxhfZCg1qOiugmNrta7tdI1TIWcTLJQqn/QcnAlcNDZRYAiG7YQdW7dw2ENhOR/+3nkHi1lGRJNFDrR+D6d8EteYfSNitHPwPXH88hrrsPB02UY0r19iFLQoRNlgb+Ztrl4XYZH3HVU7Mz54TNGghFa9d9buC3wnc7tklFaXA91SxC0Kxl7j9HmqK9EaNZKYvqwOaHItjhPxC3/adcJPHy9UO9F1ikrGeeN7o21O49TeozVlsTaKVvCZfcIzXlBYQ3Wb8zDuLE9YDRqoZPx6elef+b5S/CP11Zj84a8YMMn6b4Rt6Vt9jI1IS9RicL17lntgqCS49XpWWdaHwHnMHAf2C5p3xtV4Fp8bHzPPrMUHXqnB4B0YNth54utu17KjtKzQ3zeyArg7O1N0Btd0Ne62LgCX9KqBXDPdgD07peNnB4ZWLshNxKcSydIZp07peGy+SMwY1pfNl/RmppFGHXspXoOkQrVJd6EvL0CtY8AvsrpYZx9xTWKHFLqdkuN9sR129rkwOO3fYbP1z0ATQza0Tn779k5gP87tU7m9ECXWxVH6WspTMUj1WyDThOMKlNRjJrzQav2we7RMSAsrhUwp9nQVBovprd56ONdoKSAh+egNfrAaSOBAIG0dF0i/pb3HVRUVCq7vyudDUKzKoYNgm8Qlcgl64AbbjSWT47tw+39RsGkDdJPSOKT6CZRv0egwUdHGAz90P/Xlp5Aqa0Ji6ZeBx1pXYvW4HDgruWrsOtsidDlkSLibIYI9AmgTpPgjgD34oELnXATbfA7TMLDQ9e6N09AiyhNlDl4cfhs9jcB0AWHDmBffo1y0Q4FiJ3CMRGnnHTk3dmitI9sXJLjw/6J1oTJC7gjpN/E6BbPIceQhL7Z6dBRdLxDV8zs1D0wZ/RA+OcNc3D1B9+iGVE6oEqUE2rwJVIk3MniMdgBfT0HZ5LggOhkIjj0D3Hl7Wki4BIj57Ei+QQQp3TpwtSJnhkXBBKS3TVqNFacOIE6ux2H6itwqKYCXun6UVGmgMagHO0kcB8a1gwOgpyQhh4apOQKwIg4+cShpog73XqBrIHIRfISN1wD6MUWCkr61Iz3a+Dx52+X45JB/bDg0nmY9PEngqMmRvkYLzZqYQswb2DfkJd2nCxGaV30TrV07W0/VcQ6tJbXNSkW/NEur582LKhcU16FPsOzsftMidAlVuE4SEucMjVyow7A0ehM0t1KDhPLcIimdQNPvrwC9hYhgMESie1jF58zUKUGhnZtj8KKeiYi0C8nA1eMGYiflh3Bjj2nQ+lzDGhFOnnhRoWljlQ1u55JilDfKADBaE4O2QVDe+P9NbvQZHdEzq28GpLJNVGRr5qpFa3YeSwE4JdUNAS/J8qoxhotSXAyRSZZt1uWFQhpegScIQoJrW1s3WtDIkeMQkfUN2iEDEl4AzZnswvPvLgcp05XsWLuCWN74C8XjWE6+6vWHGk1axAewme/qTm8/t5PePWddSyLMn50d1x7+Wh07ypEgo1GHR5/6iLktE/Gl5/+IlJCg5k9abMamxdqqxcDp/bAvv1FQkfWEO6d8GmqL/AbYmR4JPoKdeT1CPUT+flV8GlVwjbFgSt9m5wMv8cvUIYUnAdXqgGuFD00Hh7d2qeiizkeu7efgsfjR6cuaZh36XDMOH8gKiubmDxlrGm85aaJuOjCIWx+5NapW1hNVnggQBxXrwHtERdvwsjR3TBtZn+s+Hwbju0vCjjRuiobnO3jA80AQ7ZHNQx1odlFum/qqpqxY+MxTJglUF1//0W2nOLrv9bKysrw8MMPY82aNXA4HOjRowc++eQTDB0a2jBSsh9++AHvv/8+Dh06BJfLhb59++KZZ57BzJkzA5/57LPPcMMNN0R8l7ZvMMRuFCjZOYD/O7Ve8e3QIy4Lp1sqYdR54fRo4PNziDc4GbhXCjzQomPUeBjIZ5CEaIUmD8ypdhaJNsQ7Az2aCJDb3ZTvDtJHpAZV3SzpON1cDoM+EgQHAhIBbqPwgodJb8a+MexeD/bXlGF8u2A31qlZvfD8oTUM5Mv6RwXG6PGE8Q/FXRKQOVJfjrUlJzCnU99AuvrGxUtxrEqQKhM+GhwT42hr+RBloXCTojQaixcGjwluP3FPWidlNzlceHjfOqzMPwGH14vsuHj0TU1TlD0VDo7AEUWb6cFEQDh2F1VBoig0GhoYM9GPoijc0DwVNzThzZkXYEBGUPpUbplJcfjuzqsxadG/0OIN7R6kchJ3VQWVT64HLyjsaImeIb5ORsWFxOGXJCAJNMtBFsO1VLscZW0i6tD4zp3QI01ZaYUsOz4et48YwX5fW3gKf/5pRcgUaW1hxbZtNaLQGMlB4JgOPI01Md8HR5oKLR1ZVS6bFzom1gBJJVBQvAYeOipWD3uISljPbRH+XnIolzmf8s/RdlgUXya3KDeTSoObJ4T2jDhcXM6oNXKub7i1ON145Zrz8fw3G1HV0BK4piWFj9vOH4VZw3qyuo/n1m1GUb3IueqiYpFkC3UsbpH68/AM3NszIgER0YxiATp6naQuJYBPTqyhkocd7hBARLUDzHmIclMyPMcBu4tK8M3tV2BAhyzWNO2X42fQc2wONCYNdu04DZdL4IYQD71vciqOtdRH58tzHBxp8iJcjjkFXZ2mmFKIZoMOH/1lPm57fwnqWkReWvguJOqIjwvMYUVYV16SgQwMpQ0BV1Zj4eNYd2b2Nw3cxUdq4ItrJBV1qsXoaqy6GLU9FM7Q784ULXxUHR52TFqbnzkaW3ecCtQtFJ+tw+Kl+/D3Fy9HEq/Dtyv2wqMTswJi11WiAiklH9l5ZcfDB7JABBJJdWjHngK89rdLMXhAsM8JFcWybK/82pei5BLg54BDu860ksCh+611RTOiyLAAjOQwUu8H6jtAVKoY7TrYOYmZPiHVKQ6cWYunnp8v7CuMwpWdnYRbb5qIjz7ZotgALCczAedP7xcC7ukzS5fsxaJvdgmOmVTUGwHwgQHDu+DVD0PB48xLR+CbdzfCxwuZUeqGayhpgjfJCG+c2ACNGszZ3NA0uVjdU7ipNSoc2l3whwD4/ylraGjA2LFjMXnyZAbw09PTUVBQgMREsfhKwX755RdMnz4dL774IvvcggULcOGFF2L37t0YPDjYZyE+Ph4nTwrdiSVrK7gnOwfwf6dGN/WDfWbjz3v+xSAVgXzKupv1Io9R8TsEkiiaz8MnEq/pNXOKPeI7FJk36Z2Ynz0JmypPwupxoZMlBVd0Go53juyGXh+7e224tU5bI+UeHi8dXo+3junQLykLGo8OK/NPwmoXCnNUWh+0ZjfUekqNUjEhZSJ48HISufxXjsP3Zw4HAP4vZ4pwtLJKeW6kL1K0rC1qlWo/WmwevDh2Fp47/mNUoE4P2vaGZFz3/Q/wwh9QfylraUZZc2SH3MB4xM0xOT0mX9nagMQnt/ypQoswZQFidKZl++A4bCgsUAT4VGj54U+7sHRPHjwmDyCjT1LUXlcbnKyAHjzPQSc2Q5K/Lg2T/qICQz81FAsMVXAWLRXE++XglGF4itoREMuJS8AtA4Yq8pWVbFqnbmgfF48KawuL/FOvMXKaYlpoADHU/DyjfUiNnhhQ0gmymYqb4oDs/snoYovHzmPF0leEXTD6j1hULL6++VShIJspDZGpa4jXgNy546nDsxHf3HI5LCRbKDMCOG3R1stOTcDSp67H2n0nseHgKdhdHnRvl4r54wawhlcfrNmJN/bvipwCHYfmHGCMMRPdLcnwmzksys2Nqp/9a9woA9U5KL3eyMNGDkSUDTKes8jv/3TLPsTr9Fi+95hARxPBT86geNw2cgg6pCSyyK9Gr8a1by1CUXV9aKRdzJiw+zkMBRLN6rTFgfdW78Dx01U4cbYaBq0GU4Z0x2WTB7I5JaN5XPXkjVh74CR+OnQKO08UCwA1cP44xgsP3OMqDqnxoc30+nVvhzizHi222JKwcnvjz3OQlGpGXkEF/v755tjOqolqjgQUqpSRkeZV4/AF70HSUU/VBgps5UYZDgL34Zro9B0qQH3oye+Q1j0FHrMqOMeM6iIUZetaBEUdeo8VSZvVLCDA1gvWLdrPaHI0VjpfPO/H315dicWf3x7o19C+Q0qomk6IZyLLJreWR2jrg00qOpV/j42fzm8U2cuQazZ6do6uiRxZp2ml9e7Ky0chKysRX32zEwWFor4+0cca7ag6Vorrhz+NGx+fgzk3CMX37729HkuX7BM+Z9BA3SL0FIjYsp9HS4MNLqcHellH6eS0ODzyj6vw4r1fs+WI5pooOIZ6O3w1NkybPxTrlx+KvTaL5Rt/BPNDBd9/QCbzlVdeQU5ODgPpknXqFOySrWT//Oc/Q/4moL98+XKsXLkyBODTXGdmKgfm2mLnAP7vwLx+H3bWnsRZezXraDs+rQ9S9fFYXLoCKUYrml06OH0aaNVE/Yi9LSFSR8oQraNY2tb13UbhoX6zAq+5fF7cvXUlUpJi7iWiwy11hI1qRDMSC1VPNtewMe4rrmYKMyE0H48KrkYjtBYXVAYv1CRpIO6PAL+fHVPw8/QAqbQHO6yuOnGKgdlYRTJEh2mLUY8A2ta+sgpc23UEvijYrfg5AhlFJ+2AQyPQpXSCxnuAhiI1Ag3fPr3ICj3l2ZDWTLYlyjI0UsSVFEFa+RbHocXlxp7yUhb96pWShiSjEfVWO65981uUNzSzh6rWzTFAS7QU4rILFKJIXr0QcVSOkUsFgqxrLGFTEQzQnNC2KaJrKROoLdQJ1JJqQLPVCZ0dqC5txK3HlqBHuzS8eO0sBqRaK8j97Pz5uHLFd6h12Frt6NkWE6J2wSJdR4pKUMKh4JVeoKoEWBgA7h4/Buf16IHVB0/goYVrhESLnM4SOL9ER+FhUmlhp8YT0v60gFcT5GDTrL48dwbmDOyjqJs+qkcHvLduZ/Txk5NvVOGO71Ywrn/3tBRcOW0gJvXowgDyzv2FeODJ73A62yWcnygP63x1C/51y+WMnnCwvhr5lbWRWQrWVCDGXIpzSMa40FGwLPG2dc2CSlNIYTM1H3MJ7xM7jK6fDXmnmSMX2Ic4prLGFryyaTu+vfcqxMcZkVdYgVvHDcNPx09j68kiuEV5xySTEfUO4iEpeRLCa++v3w2Dg8Cr8PLCjQew+OfDePvueRjaU6DZGHVazBvVj/28s2w7FqzbI+T5FAA13Vvnj+od8hqB1s5ZKThyupw5d62tSnTuenfNREqSGYePlwUAeVTjOLgtauhahOOO+CQrL+GgNmsxqG8muvfMwgVzB+PHPcfxyfLdEWuWlpyFKEbjqPe6UVskBlfkjVfEvRPw1zb7GO3HnSQVrIj3moacfpJvpCZhQtSZrrX6Bht27SnAuNHd4fF44W5xQO/3C3KWxB+nTIvsPAoZgdbXd1ZYSo4C3V8xomVUwB04Rmm7LIoW3F+0vZEUqdcS/RlM18Tcya1HuSdN6AXrmRq8s/qQsG9vUN7S5XDj/Se+h1anQbfhXYPgXjqEGNstyq/EmiX7cNHVo0NeHzuzH95ZejeWfb4NuzYdY8W6PfrnYO51YzFici8cP1KKsuK6qDEGcgr6DumI/4Ui2+awAJ1er2c/4bZixQpGrbn00kuxZcsWZGdn4y9/+QtuueWWNo/F7/ejpaUFycmhaoNWqxUdO3aEz+fDoEGD8Nxzz4U4AK3ZOYD/G9ueulN4LncR6t3WgPzhGyeWY1JGLxxtzmea3UlGSu3TosDBI+Q022jBtKWSpesTkKaPDE9SxDySGsxDp/YxtRyN2HXE6+Ng9+rg9qmh0fqhVvtEx0L+RQHcs1ckYORWhYB7tY4aQVHkXuA/e13qCPlBtq5q/PAxFZxgwWyGUeRA0A3pdLWhAp4D59TCHyNDwdLqTtJ15JnD8/CAWdCr1ViQv4vxvSUqE7wc/BUGBu6l6Va7hAiWX9YkK0CREJ0P9q+aR5xBB5dVoCuoXRx8Zj7mA56NV9RwV1upU6EMaUY5FgLbHt6Hb48fwWe5BwLAeG6P3kyuUQL30tzoGtSMMhSL5tIapYC+p3HxcGVEHg9F7k0VPHpnZoCLU+NoSSV0YRmI0xW1uP7NRfjuoWvQPiW2TjZx9TdecSOWnMrDktxcnG4MU7r4NcZ4vKJDogWaO2oE3XAxy0LNr+j281DmVQ08NnEiA/dkBLyo3iCwKV+wqRVtUXqMJOp0cPiFWoCAc8cUcACVgcO8vn1w0eBQ3r3cBnbKQt+cDJwoq47ggBOfnZwz6hhcWCdwvGtabNhaUIwL+vXE1T374ZEXl8JtJEqMOpilaRH49GSUUaDjqLHasOtMCcZ17YjPbrkEr676BSsPHg9Ib5r1Wswe2gvLY/CEpXkkJ4f2E/UzrKswB61N1mFYPj9iwa6bmmlF4T6zRkZeL17+ZiNqS5pRVhOsU8hJT8Dls4dgWJ8cHDhThueXbIrtTlNmRXZLMZoS78P97y3HmldugSmssc+VUwZhxc48NLTYI9Yfum+H9GiP0b0VQA91Z6WCcMpSii9xUaK9Y4d1ZdcYGTXCignuw4tayUK46MGHgsfnx9wrRzIQTXZr9hjEcRosWX0AZS1WJtEYb9LDWx1daZ427dPHjpgzxSsNB3diKLiX/05BAIrqax18gGp17FQFUiwG/O3ur9BQa2WODWsaRRKQpEBEheIE9mldlMtJtmIaqxfeBOmCChs7ywYKtCJp2ojyFPIRdex1kDIeRE3jSaRf4UEza2xvVtjemrldHnzx6o9Mnz6a/ev55Rh/0ySxeZeo4OYS1OOinRV6b/XiPREAn6xzryzc99Klit+bf/04vPXscsX36NzEJRgxYWY//C8YReXl9vTTTzOefLgVFhYyPv3999+Pxx57DHv27MHdd9/NnIHrrruuTfv6+9//DpvNhssuuyzwWq9evRgPv3///szZePPNNxkV6PDhw+jePXbDOMnOAfzf0PKazuKBgwsCkbFAQSV47Ko7DBNV4kv8eMK0Kh4eFhGNvpgyJ9+vEkGo9KxUfhhc2Wk801KXm16tweDUbBQ4T0Orlbj+PExaNwzaUC14tYpHvN4Fq12H6pJk+ImHbxafylLAgxY49kvwezzJdIqmM7tgSHCFrLMag7Bfr4/4lqJyjqRlr+Lh93BMFYgaa53wNuLJ7etxXZ/B6JycBHVh7Ah+usWM9ulJONRwltF/xMabwbFRBNapBk/0IAB9UtOZ4/XXftNwY/cx2FRxCmtPncTWE2fht4bKmkmAWO0WtbDFt+lZ/PykadhbXoo6hwM58Qm4rE8/vLtrF3bWCk1TtC0U2YqcK8noGnl27BQUNtXjuxNH4bMHAThFfwNZA5lJBaF0EThlTa8IpFHHY+LwGnmZ7CSpp4rYpTUOe6txsminQAU889fz0dmUhKv/sVDxI3SsNocbt77zPb687wqkhNEbwi1er8cN/Yewn3kffIWTVZHR5phjYu8JT3PKMDR1VsNtFi4MToELneEyYtFdVyI7Ieh8dEpOCpaIEKAVdcDJAtsgOT2rHTq6folGpxecNnIiKMLdMzsVz06PLCyWm1QUfcO737FiW2k1oHudwL383iOT7oVVuSdx6lA5+90rZuVJ9UjfFOofcg6hLsCVBKb4w+bXaMDzl8zAA+eNx4nKGuYg9s3OYFHs9qZ4vLtsuyJPmIEguh/o0qP7ihwZqVSH5pocIMrM0XhEug2jcYRhGU7mMCkE3ILm8OPQgZKIpHtFTRPe/Oxn/P2vF6HZ4WJARKn4OGTsYa0UmEqIw401u09g/sQBIZ+l63PBg5fjsU/W4OiZihBwP2tELzx+1VTFbEy8xQg1T2OhORCyW0qre0K8EXffODnw94QhXVlRqzuaWopYhMrmTF40pWBqNYeikjoG8HP3ncEnr67GicNCl1ZK4vYYlIOb7jwPdz/1ffS5onUunO4kcvwlZ42ugZQOCaiwkvxW9NXDa1Qx2hCj6vj8+PqbHVjyj5+EYnQxWyDficrmhM9ihM+oaRv9RrzPNc1upnjjSaKIrLxCW6jFoCZd0qskJRp+fCqbB9Ar75OdQ0Y9Es5mCMj386zXyZN/DkrFxrLD20+hpTG2BrG92YHdvxwXwL0ouUqZ05hb54GKknqs/mo7DEYdhk7ujYTkYLAsms26ZBhOHC3FTz/sh0rNwS9rDKY3avHse9dBp2+9SeDvwfxQxexkW1JSwjjwkilF79nn/X4MGzaM0WzIKMKel5fHQH9bAP7ChQuZ40AUHeLvSzZq1Cj2IxmB+yFDhuDtt9/GW2+91aZjPAfwf0P7pGA9e3AoAXCBex5a5Mrka1V+eBjojbx9hfua+MwqdLGk4brOk/DGyZWwehwRhbQzswbhsg5jFMd1Q8+heHj/GQbwmSS8TYea5jh4XBoWRY9LsiEhxRqg0FhMbjRQ9J6e1FY1eL0vwDXWaTgKdIeMUdLgJ849gXvp2OTHSUbym6QeJOfg8x4V/DZpAeFQY7fjm+OH8fXxw3ho6ITYEXyNH1XxNaiqpT8kJ4PalvsDakE+pxqeRmHR5zgVLusdTKMm6U2Y32kQ/rliL/zW6LcOnU+Vh2McdHGYGJSZiav7Dwx8xu3zYXtDMessK6iRcDBUqeDMENFNMLvNfr+p/1Bc13cweyjMyemNqz7/LrAtio4GHqbyeZRRJMKNzZOW9MwBXVOw+2frMhjCfsgXjR4dEh2OKEZNf37cdzx2sShJhdY147q/f4uFD1+NeEG2qVV7ZvZUXPvZ4ojGSYHriwpDg5ePNGAhe9HEw5miFjrMRokU0yYbWhw4XlITAvAz4i2Y2L0ztuafAS9r8sOi16w2QHT2NBK1hWNFqqyxmOhQ5ZfVIq+8GkM6tIt6fATGikrrMLprDha1NAVaeAbOfwwr8Dcj2S8ASbpmCNzLp0H6ncaubyAZ19BzQ82qRnUNFj2S3Xj+COSkJ+KztXsZZ50sLcHMOOsrDxxHUXUDU+XQkJoOKZfIuu35NAKYisbvV7KoUVMqAm2JUfPK8fj7l5tx89VjWgX37NwrXJYEYg4XlEcAfDLi53/+8BU4VVqDY8VV8Lp9qCluxM9bT2DOyreRmGDCBTP6Y94FQxhgJ5s2pid2HCiUKlsYEJR01aUZ6dwxFa8/fjEyUoNAw2LS46a5o/D+99ujHoJAL2k9yk+AmWRSD+48jSdu+jTCSTt9pBRP3PgJOg7Kwdm6loj3lYzWEXau5a/RmmfkoHKoomcfJPqLjB+koQxnDOlWNldeugmiyDlKx0kRfqNKoLDZPdBoVdA4fVBX2plzwJPeK6t108FB1yQ5ozqVELkPA/ec2wddsxteox9+s1as6ZCNSU2OihocyzaIayVla5iwAuD2uCP6wUSz1sC9ZNXlDdCQVLYIuAVcEXsp97g8ePuRRex3tUaNC64di1uemhdT4pIaq933t3kYM6U3fvx2NwpPVsJg1LKi2gsuH4m0VjoT/5EsPj4+BOBHs6ysLPTp0yfktd69e2PJkiWtfnfRokW46aabsHjxYkybNi3mZ2nuhw8fjvz8fLTVzgH838iaPXZGz4m2XFIUXkkxRUOSmYzqEbx1JdCepk/CpTnT0Su+PXrHt2dgcERKdywv2431FYdZw6rOlgzMzxmFsWm9IqL3Dq8LC4u3YtHZrUiKd4KCvg1lSfDYCa0Jy4XPy6OuIhGNtXHI6VYV6PCamGJFhV0PnpppSTxlirD4NOBVvrDCVmFbOpPQVCPauizVE3jFPgAUsffJwL1kEqh/df8vuHLIQCw6kBvJe9f4wWdRO8zI/fh8auaF+xp14L3qwDcv69sXaabQ6DGBxiqKQrViQYAgPK3nrfkSjwyehJoGOw6Ulwtdem1eqFIBQ7mggkMUEFOpCp4E4sELC3SCRo+3LpiNCe07BSI+vBIlxsYHOeJi1Myk18Lh98bsvEm8Z12T+IBqY4bbTxLSMXrD03g8ccrAnY6gX3oGNrScah0scEBpXTMWbjmE284LRjJi2cD2WXhuzjQ8uWJDgHfNxkz60mlpKD5Sw3T7mfyleLxEwSF6CEWIHZli19TwQZOJw6Xn/YbcfEzr1y1k30/MnIx5RWWwu0gqSKC9EH88UHhLl6FPjGSLKX4/DVEdBJCf7dyvCPCLS+vw6ns/4chxQTvdmsXBn0Sar+LxSbW3MZ7oVEDrMZHqEjl1EgCI/IL0ypkzdYAgWBTTpg/rwX4arQ7G2aeI9pGiCry1ZkdgfgPAPIyfTedA6JzZilRmK4fHnJYYNRi0i9KqRqQbzIgz6GF1CgWISjti1KpgqUtICqa1qGuP9mlIMRlx58PfoLKqOXDvVde24PNvd2L1+ly88+pVSE+Nw5RRPfDZD7tQVtkoOB2iJj2LvlODLL0Wr4WBe5qrQ8dLUVpSjw6pCSitb2aAWcqgEH2npyUBuYfOwq2ldSWYHYlmY0d2wyNXfsAcsfB7koFxUuOpaGKykUpGWQhGZ6EACalnkV6/wsJeZbOB1Hnb0ilaOjlqRyxhfcGIrhNrM+44FSs6lhxLr1kPV5oehhrSpHdDYxcWM4pIX3DeYLiS9PhhzcFI8RmPH7o6J9SsMJljmQbe6YM3TgdvohDRIPWacGlRSQpXJToq8Za2q6Bk5qS06XNauy/k/LTmMrP7SacJxIR8Xh9WfrYV1mYHHnzz2pjfpWtp1OTe7OePbD7KnikIVCi9Fssosh6udHPq1CnGnW8tcn/jjTeyfy+44IJW98Pu/UOHGGWnrXYO4P9GZvU6Y8ZXXD4NLFpqZiOAfbrkqKkVk75UEajmkWHIhF5lQLzWjCkZQzAxbRB06tD0WLLeghu6TGU/0azUXoePT2/AhspDIauvrc4Cjz0cUAv/+jxqVBSlIadHpaBBTB1jiZ4jjyJzgIMWX04t8PClvkGkve9RMbWcWM9LluaUzRLjxYeMJezz9GPg8eKs6Xh/5x6UNAkhSqZmkCq2Do34qsj/JIRETa2I468GtHoOj46axN6rtzvw/ZFcbC0sZhFnrVrFuKsxLbAfDrzOB48DeH79FrHOQqyNEI/Ome6HtlElproBlV0FQzMPv4X4vQMwMScoK0rWKyMVeo0aLhmApW1RRJikCCWzaSlcHQM4se6JAjhs00NXMpEzTuBVXtQckMsk+UgFVg19dnKnLmgXF4+MxLhwSexIE9AJvt5ysM0A/2x9I55dswkecnnlh84Bpxpq0aFTPKqLmqFxBOGtNG5nmtAsSyoujvASxb/pnrS5IoFHTlIC7p4wGi+v3sLoJ1LTn9A7R5hrKmOhqDtRfgjskxHI21YgqPHIrbyyEbc98jWaVB4423GMy8wi9m1KtyCSNkMUBUqctQJWD50ONmJqiyVaglJQ246dETI0Xp+QwYj2JekioIijrN9AyJjFDAWLgEbZUFukJskWbjmIaf27YeleapimrPhBcxMA9rI1g3ZxsLAMZ6sb0SE9ugTea++sQ1V1ENzLwXJtXQte/uca/OP5y1hDp7efvAyPvL4cxwsqGdeewBNln1KT4/DKA3ORKQP35Dw99c8fsWXPafZZL12I1JmZ45GdGo87Lh+HyUO7Y8UP+3FieyEogUja7T6z8mOe9jVzal9UF9Wiqkymyx9mNO7qkgbMvG401m07yWg9kpIOOaUGgxYzJ/XB0i1HQ7M0Cka1R3RfKL7LGlOFNi1jqmdRRyZuh7VWV/4UK96VwL1w0IH3nOkGFvHWN0jdZTlceOkIZGYnobbeii278oPymx4/jBV2QRhBvn/KHDW74Teo4InXxXqQsXWGztt5U9vOUe89rDOyOqWivKhWOaNI/6NCPY066vvhr0vXtt+sA2fSg7MLWXTCFJuW7MUlf56Kzr2FIIPb48Xug0Woa7AiJcmCkYM7wef2YfPKgzhzogI6vQYjp/RB/xFd2kQ5+j2ZL4qKjqSE11a77777MGbMGEbRIQ49cfA/+ugj9iPZo48+yrTyv/jiC/Y3gXqi7xCvnmg4lZWV7HWj0YgEMTP87LPPsveIb08cfKLlEMB/99132zy2cwD/N7JknQVaTs0KIJWMaCmVVgvcFAEXb1GNyodEgwPxOi86WrLwYv97YdK0qq8Y085Yq3HL7vfh8FFEK6iJTGlFewNtO9pNy8Hl0MFp18FgcqOuyaKs4y5RD91qqERAT/+SYs6vvI8YPScWoCGgua2sGM+Pm4FZvbphxoqPUeewgVeHOR7RjsjoB68WVvB7B09Ags6AvSWluHnRMqZtL0W3YjSUFQ+Zg1crRHl4sZEYZxMW4BDaCFv1CVCqWPRd0FymKJ4gxUYP7qk5XQOfr7ZbserscTS6HBjYOwN788oD+tHybTLSl44XwByl6luRNXOm8KxhlYokJhWdoFDLTLDgnqljkWWx4LXVv+BESbWwXypANfHwKGRpiY/cPj4BL06ezv6eO7IPvti8P+a4hOQHh2Zb691OJftk1344PWLWQjwOCcATJin0NYHLFmhJpL9O71BE350YpMvQvAsudfTr2cVoAZHWOys9EL2PBr/ZFEsd5MOuJSXK0sffbkdFmjdEgjAcREkR1KgmgSdSkZIcl1bOc7RjbIsRGGUF9q00cCIjYMAyGn7B4eUUwIhPF3s7Mbn5gQ/x2HQgn0X6tRoOuiQdbB4J3AG9stJwOr9GqAGQthe204r6Ztz0+iIsfPwapCZEerEVVU3YuTd6p1ty4vYfLkZJWT1yspORlmzBv164Crn5Fdh9uEhQIemehdGDO0fQON75cgt+2Xua/e7S8PBSZ2FGH+Fw1t6Cv329AWaLAdNn9ccn729i4Ezt8VNqNlBUHTCOw5QJvfDXO2fg5xWH2jB5wIQRXTHrwsFYuvIA8qnRlU6DieN6Ys4FgxiPe8WWo/C0JvNGmQaiQyoFFDjqCk3yW8GXqMMr74velZccDJVJB7eCU0H3g5fumRjrn5Mi+dQFFxwefv5i5HQSlLuef3AOck+W44231qGwsBqaemcEuBcHzf6vq3HCY6FK+ej7InAfZzFg3gWDWV3I0g2HsetIEbsmBvdqj/nTB6Fz+5SIe+Ouly/Ho1e8q3xv0L8WUyS4FteIsOSj8DfVoFj07DN+iwEqEeCzMapV2PTDXtz0+Fys2ZyLtxf8zFTOJKOssLqkCagiiq5wff7w6VZ0798ez350A5JS29iy/H/Ihg8fjqVLlzIQ/7e//Q2dO3dmMphXX3114DMVFRU4e/Zs4O8PP/wQXq8Xd9xxB/uR7Prrr2eFtWSNjY249dZbGfgn0E/cftLPHyH2gWmLnQP4v5EZ1DrMzBqMNRUHAsW1ktFaZfdoRO558MalSH6t3YK+8Tl4sf91MGnanuqLZi/l/QC7j6gyQnZAMuLb8yJXXjYygApgDfTUptSCClarAVq9BzYXLRjR9iK8oeKJA+lnXWRVJi9Ty1FpQvcbsjfWVZILRH81KjU8bVGPoEWn6ChqvS2RfOtYRj0DtDrcO3Asbu4zHHU2OwP3Thm4F2ch6iaFjrnUFIWia4JjwbVID9cA4gyYoGMfGrkMFM96OHy/JxfO/l58efwANlbnA1SMR9E7UvPpwIGrJdUbulaC+6cMhCfNQ0hV0GCMYoIWOLV35+EzCQ2t1PKCCZnRc8ug1eL8wb0Qb9bDzfnQt0Mm+vXNwlFvjRBNZF8Vuj+ybIQMU9w2ZDhuGzocCQYDauw2rCstgLG3EbXNNkbh0DWTLF3Y/Ej//oqu5yuOHg9mFDhBc5uNRfCuGLgjxpe8u2qE0ZR5Yl8zZ+vE5lBhNrRjNqNoNNtCuzyGG3tYU02c7Baja3xQ+1B6Tk2TFUuLTsIjYcnwSGQA8LdyYYo69IEsAtUJsC7Nyh+md8qsLUyZRqf59Y+JqkYrAy5tYxqL6lC60O647JBIfYXAPYsHRB8vfYaPkYmi+5ecDWrgFcg3NbkQb1Dh7usmYfKQ7khPsODDFTvx4Y+7os4hHVODzYGFmw/irovGRbyfX6DchyPcTuRXMoBPRuCsf4927EfJ6Bws33UMX+05DF8Kx45DadGkrNLd7yzDu/dcjAcfvxAvPrtMYD65/FC5/YxTTjKwaalxeO65+ejZPYt9j5RP2mJxCSYMGNAhpPmUZKXlDYC7DWuzvMBAzl1jXZ1FmUtZFpLoL3qnN2Z24YGnL8IL/1wbwe1nyj6tRJWJez/6gv64+YaJyJbRYdg56ZWNt1+5Cvdc+xFKKAUbc0NUL+CBN1oUn+fRsX0y/vbIXJwsrsajb6xgzrw05uKyOvyw4RAeuXkG5oTJZw4e3wu9LhqC4+tzwdmCTeIoAs/HmVi2UNFka4TfINYokOIQAXOFIIFkTXVW/LTlGF54e23Ee3anG0g3wUBN5RqDwL/gWDmr1Xhr6d3MSfgjmJ+nbLpCke2/IeQ/e/Zs9hPNJNAu2c8//9zqNt944w3283+xcwD/N7Sbu85g+veNHlsIyHf7VBHgXjDh7y2VZ3HTnnuRbozD5PQJmJ4xBWZNbKWRaNH7I43FsQKVQaOoS7ITnJZ4mtL64EczdPC3SPIdsa2jOQU1niZYPfQU5+F2aqAze6IplTEjFR16a2x6V8QnJ2BZfhDAhRsBpLHZAu9tZXFeW6dBOF4O6J2QgcXTrodRI3gFiw/nMnAfccOHUTdov4xGQJ8z8PAmekMKHjlvUKkmJGIrFl3FUqxZdvQ4+yHT0Fxr/fClegBqJEVPxDQvOiUlwV7vhYP3olnngM9CbS8BjqLyFHhieueh2w0UdkvDYvKPfpiadXB5fFLTwsDx0QS1cB58l5vLovGkxPPc+p8xsEOmmIIOzUwwyoQsOXXT4KGMevDmzh147+AeeHyiIpNR0Ix3J/IwVAtAn4w0sek1v4ZnnUWP1lSif1rshh/0wLS7hYgsRQkJMMqPkaWl26BhHcq7VrbyRuUmZuR89WmfgV01gjpSLGOXkWwFpuv6+lGCxvGJ8ho8sXgdjlXVAEzRJ9pGhDfo/5R8YiqysoOTLlVtM6CT+SRqD886jkpZo4jjJxqhyoufck9j9qBe+DV2qqwGaw4InNSIGEHU7AJxD3n4qRuynHAfwChRqp4lIznKwTk4uP9sVHAf+KjsX5/Tj3cXbMHoXh2BBOC2OaORV1KJ7blFUROMBMqW7chVBPhtBTcaTdu81hNnqvDoZ6tRWN8g1DZRpiwabYWtyTz+sXgLvn3iGqSmxWHhl9uxd1cBm880iwlz5g/DJVeMhF6mdDJkXA+YzHrYYzTdoiZIsfTN9XoNa/7UqtH1SieYqSVRIyU698K/XovQQVdjC2aS/XoNvGYtNDZPqNqTiE8vvGIkJs/szxRtXnjlR0EoQaQPUR1DzCIv0WoMfmhMysDcHGfAPU/OwQM3B5sYRTNqChXNJo/ohucenIvq+hYG7r3eUCKIVPj98r9+QveOaejdJXStu+3uWbjjbC14p4cAAnidGrxBC22DE2gJgn4loyJ2+qzSPHCeUO+ARpGcmYB3Pt+ivDFx4l2ZZmgancHz5POj8Hg59m89iRGT/tjc/P8lOwfwf0NLMyTgoxF34OVji7G3nlKvgv68hxWVxl6U6pwGaNQN+KF0BbbW7MBTfR9BgvbXVbAX2cTueApGnHpO5Rej+Dy4JBcgquaEBxGtbgM4tR98zOZaPKodVmhdRvhljAtHgxHGJEfIOizhaVrzSEnnuUFzcXHHIThVX4ul+cdj7AFMLpOsyS2vcZAW+tjz8cqICwLgnmxLYVGMVvfCJkkPfG7fXjBpteDMwPsnIruDRkSkpU20Au4Vd+vhoKnQwdvODV4vPOg9iR5sv/7PmL78X2hoDhYAU/TOWEVdY4UIPYP1cp6z3Iek49EBNrUX/kQv1FY1a6JFDXmIL1/S3MwipAQgpDkh54e00mO1ZqDN5yQk4LUtW7H02DG4RcpS+L4ZVSidLn5ykHhBa15y8jgvLvz+K8zt3huvT54FLVXqKRhRGkgGlYqgI8B92O+c0vnwAvpGoQspFQvGOjUmnY41CluyLxebjhWwgt4BOZm4fNRAxptujQHDSXKVXLCO4aYxQzG5ZxdGXXpl3S8C5aaNl0cnUzwG9WyP9snxLN2y6VQhrC4X7PVO2ErsTEc+fFNeMxVnhzo70pR4LARCVThUXP6rAf7i7UcYT9tNnGMqzKeMndgTINx4qfiXGH5ip1OJsxz8jOCEEH9b+IwyV2HMwM6YM6wP3vxmCxpbIiOu0ehSPq8fi9YcwIM3CioWrJNqK8fYFIU2NqBve2i1anhiFH6SEzC4f6jGNt1XR3JLUVxSxzjtnFaFzxfvRFFZPXvfIlLJXHEU8Ih+UdC4SY2poLwO/QZ2wAsDO8Dt9rLxmEw6RZ40dTO95u5p+OilVVG3+6f7ZzKllWiWlhKHzpnJOO5qEiV7uagSlSRBaSm2QmsVtNohJdjUHGydLMGMFHuDgyfJCL9OA02LizkDZO07pzFN9pnzhrJjmjSxNxpcLny/dC9qy5rZ9jp2SMHxxui1BZLtO3YW1z39FT59+ipkp0U+Q9OzotdbSMZkrDVqRsMJqDSJ66Ta7sW+Bbvw9OkGpIztyAIR0a4vCp58t/YAnv7L+SGv9+6ZhecevwjPvfYjHATyRSqQz0TzEh3gC1mw6DQlVXPofUJiE5YuqWjYdlyoEGOUqrDzSa9pSW1McLzk1/WOn3L/MADf9x/i4P+e7TcF+KQTSj9FRUK0q2/fvnjqqadw3nnnsb//9Kc/4fPPPw/5zsiRI7FrVxBEuVwuPPDAA6xoweFwYOrUqXjvvffQvr3QcfD3bpnGJAxKTkWx4yiILkmXlo0Iwa2YS1KWAY9aVx0+O/MV7ukR5HK1xUzqYNQi/JlJ4NCcbIe11syKYjlSx4lhKg01uWK/Rf2M1ecEzzivwc94XRpYq83QmjzQiN1uaVsqUmqh4l2OQ4FVSHv3SE7F6xPPwwNb1ggPZmkBFSPor02YhZ7Jaey1rvGpOGttCI32x0BdU9t1R99kIWUdGJtwQNGNA+PwfnNIaPaTEWeBRq2BxxCWMyXKjvfXg3nlXQoce3W9Bt4sIap11tqI443VDHDLj9GvF6gyhhoOXgMPZ1aYPn64UWCNoqh6wEdZCNqUDyiu9AvRMKXxMPEPWQYjcpNMN/2HvGPwSjIn0ZAWD7jSAb/EGAhLeqzIP450kxmPjxGKn5XsiqED8Na2na0WStBQNZ4gkOfcgKVEyDywrrsxqKT0EB/ZNQfn/X0B7NRsRzzu/KpafLfnKCb078IoQGpqmKq0b/HY4pMN7LsDszNx7ajBmNC9M3YdL2ZNpRi17FdcLjV2B26dMAKd0oQW1H+ZKBQlv/3NFnybvz/0oSXKQBpqBek+HxVqasU+CFqONbuSblE61l9r+wtK4fUJ9BxiiZGmPjVVk3OYAz6vGnDRckedWUm720eKLCKwkIXxaUykTuL3Bjv+BjZE51LMHFx3zSzMGNUTa7Yfx98W/AR3nNDIS55NCjc6Bys352LGyF4Y2Lc9MpPiQoGagqVG6c1AHOsLZw7A0lWHFFWi6F45b1o/Jpsp2bET5Xjx9VUoFQtdKcvkJ3lGWdSD/k/9CdQuP5yJJAQQ+7zUNtnQLVvgk1MGjH5i2UXXj4PX48eXb61nnWKlpkmkbX7zQxdg+sXD0JqRMtCZvHrY00QlsvAGI0xRiYfljDWgXBPyzPHxsBS2YPxlQ7F+e77Q1EqSVLXocN78YbjluvHMkbfEGwLOSpPVgXveWobcwgp23vxZKjbPDbYGJJoNsNpdUdcmaWhU5/P3rzbjH/ddFPG5jHaJ6NkvG6fyyhSLstnYOQ6vvHg5VmzJxeYdp4RAClPdcUBX62DL0f5t+XA01osF8spG19yeo5GF9mRjR3XH0q/vwOJl+/DJ14JEql+nZg2+VC6p2CWUe8+WVVOYLr2k6lNvBScTaqBDy5neF28v+EV2XqjhFw+u2Q51ZQM46iKs18LXLgneBFLN00Dd4mLZC5pjhz12NuH3ZP4oijn/gYbovxv7TQE+gfCXX34Z3boJcnME5ufOnYuDBw8ysE82a9YsLFgQTI/pdKGptHvvvRcrV67Et99+i5SUFPz1r39lXKj9+/dDHSXS91tbhaMey0p3YU/9KXZTmDQO5pBrKQrOFpDWK+CIuiKt/374sb/hEOpd9UjWh7Y6jmWDkjrDojEwRR8pe0D6+5JZ0mwMgLsQ3Fc0Y1xPeeQlxOjLQgdXL5N2CHvXr4Lbqoe0NBgTHVAZgyBZTl+6uHtf9EvJwBfHDmJbmeAYEi3n+j5DmAMg2ZVdB2ND2Sn5CEW1jlDeJ8XDhid0QHx9HP66bA0GZWdh3oDesOj1GNo+G0crqqJr64fNR1ULRc9VUFGL8rhgpNtv8EOtoJvPIuIxOsZGM0aBcRLR3iOm7YFmtwvJWjNKuWAHT9qsO80HQ4VGiHy2Vh0sHZOcXuSI4rAFaBQc/G4eJrMODo8nwClljgjPo3d6Go5X1wiXRmvsBbqWiRceZTpoy1/kHsRdQ0ez5lZKdv3Iwfj84EHUuaOga9m+VFbyvTh4zDyMVQLAoHEzHjj5SgqJNJVYC7KzoBgOdyh9SwKEW44Wwm8W5CglfmwIsOWA8cO74t2r5kQM64M1uwSp0yiZh2gT4/Z48Ozi9Vjwl2AnRLK5Uwbgm1X7IouXKZJKx8moBeJ1qgHsxAwQQT3RsEZ1i+Rbx7Ltx4tQWFEfjMpSDYSWgyOdZ1KklDFg2uCkFW6CUFsgLGIMtAZ49IJ4veB0yLIpxNFmRZqiShHp6GudPKiOPvdQKbb0zMfYIV0xZlBnoZCZeNjNrTT9oYyFx4u7HluIKy8egTnj+mDp9tyon6VrYP746FJ1t984CZXVzdixpyCgOCM5DMMGd8K1V4zGx8t3YtWOY2husIMvcwYAsJTRUFpw2V9+QGfzwx0f+9mWlvjrKJsEUC+9ZSLOu3wEtv+Ui8Y6K1Iy4jF2ej8YzcK9VlxWj8WrD2DzrlNwub3o2iENl5w3CFPH9GJgnApvqYOrqdoLV6I6RAtfuBdIktcLrQjuI8Yg/kuR/a//dQvWbcxFbZ0VyUlmzJjSFx2jSEY+8uEqHC+qDLkH2ZrNAQ0uJ3QqldhfILKOSjL63vbDhYxCk54c9O7JydmzpwDxqRZGjRInK+zbPJJSLDBb9Cg9VQ2VSxRWYDUFahZBJ7BPNBbqTAtZlljJYlHAjQYdrr18NNZszGPqWizDkaCHtskd8hzh/X4YNCo89Px85BfXYvnSfWhpEShYHTumwmB34kyhMGdkcYkmpE/ogdyzrElMcEs+P7RHi6GutwpOi1jMry2thy8tHt7u2SzDora5YaixoUPXYKOmc/b/c4B/4YUXhvz9wgsvsIg+ReglgE/dwzIzlbm3TU1N+OSTT/Dll18GmgR89dVXrMXwhg0bMHPmTPzebHvNMTxx5EsGWqVEnVnjgVEsNqUfs9YNm0ehNWnAONTazWh0GJGT0IhUk50BxWJ7ya8C+Hq1Ftd3mYR3TwnFNPQYJBEPeYfXxPZN8NiS0Cjqecc0toqGozgh3U6FtYLv0jqYJbqPZFRM2j8xNJ1NQP75cYIai2QkZVne1IxUixk6tRoTs7pgTse+WBHCxQ+C/B4J6TgvqxcWbsnFvtM1UHO1bHw/5p3A33/ehncvuRBXDO6PBXsP4Nea1qbFgE5p2Ftbyv5OjjOga3IqDhQHF1RmBPBZmPPXg3x2ND5KlQrgJceSgB7xaTjSUB5Cf/Gk+qBycayANkQdRHGD4vSw4kuAc3FQN6nAkcIoJ2qWM0Ao0YtEvKji8OiM8TjdVI9vDh5hEqKME86pcKKa5N1kFKn/YxLD5fPhx/wTMKt07IE9NDsbOYnBtDo5ZpcN7o8P9uxp/XplaEroIixEhYPToGsm/WyxKZaMR5BkNjLKyhdb9zPlIY3YXVXQ1Re2QFmndnEJKOQbWQExRV7Z3BOONQBxyQY8OXtKxHBaHC4cPFMOhGcPYhXPisdA9+2+wjL8uCsPg7pko70o49ghMwl3XT0Rb329hQHToAMWNOl3Oq/GWh72TI4B0naJ8ZjQM1SiNZaR/v+Dn64K8aEp8s5Ou4p6I4D9xDTiUEsOTrRrhfTi1Tx0DTy0jqDPXl3RjEfeWME4zG8+egn6dczE/oZKITshOjPRq/mFXxf+sAfdOqVh1vCeWLf3ZMQ1RPOSlRKPyycOinoIJH/54hPzcPDIWazekIua2hakpVowc0o/pGbE4/rnv2EUInIO9Q0+qGWceqk3Q7RoCruvSMaTvqOQXaGvkRZ/13bBYMevMUu8ETMvGR7x+t4jxXjo5aUM8Eog+lh+BZ45VY6tewvw9N3nwylKx5LjaKr2wafxwWsgdS3y2oTB6RqJuBXrXAC/rDuKB1+Yj5uuHd/qeE8UV2Hv8ci6C3ngKSXZDLNahzNldaGRexlTkf3NAyXUK0EE+Pv2FuKVV35Efb0NmiaHcJNJykYhmWEedZVNuPveL+EhMB/YOanU6OA0aWEoaYbK7WOFuD6KqEeZALq+hvQJfd4Ju+Cxe+1hLPtgA07uK2Ddj7UmHXwZSdCwwpvwSIQKXpUa8ckWJFudiE80o0Us0LUkGHHFn6ega8cUnD1VybI0KR1TcfWtH0c4F5pT5SzSzw5H8m+k2qyaZqjpgs1MgU/LwZViwgyFa+eP18lWhf8V+91w8H0+H+vmZbPZMHr06JBqY2rfm5iYiIkTJzInQGrnS1F6j8eDGTNmBD7frl079OvXDzt27IgK8InWQz+Skcbof8MqnQ0M3Hv5UJaXw6eG1GmbLNHgFAF+5FLInkVid1cPr0ZhQyp4vg5pZhs03K8/ndd0moDClmqsLheALHvUiFiM0lcenwoj0ttjkxgtj2YmjRZ23sOiVXIuPvH4GcAXDyNZY0a9J5rsIQ+OdJJFnjYtlQa/AetOFeLL3ININ1pwx4Bx6JmUEfjGloIzeGf7bhwqE1rEW/Q6XD6oP+4YOxKvj7wQvRLTseDkHtQ4bez9BJ0RozM6YExaR/xz7R5YRQ6hPErvcHtw26Ll+PHWa/HC+dPx2KqfAu3t/eSIEY2gFaQ6PbUHPpt5KZw+LxJ1BpZWfn7zZiw4cDDkc0SHIRAYkOAUKThtAfwSGOiRmIZ2pnhc3KMvvj+ZK6j3yKLPrvZeeOI5qFxqQQoyFlCkAl1aGEidp0kdGAsNL8B/DqPP0/deWb0F+iR9AEDyIXMqHhsp4MUCbtLlLoLhiM/RGJwcnl6zMQTzTu7aBS/Pmolkk8DtmdWzO97fsyfGxAljCSiukCCUCVA1yY6LRJCahSJYCXDeOH0Y/jJrDG78x7ewlFDqWub01gPueB6uJI4lqMqrm/DKZTPw1i+7UNYkrC8EsKf17IrHpk9EZnxkW3iKiiomWcKyTrIpFeZEJsn/9KfrGMAa2L0d7r96Mnp3ysBV5w9DTmYSPlu2C3n5lTHCBoDGSQCNR0qqGR/eMK/NHTfJ1uw/CRs1+ZKGJvZ1+NU57zAOvpJRNoDAvTRutj/xeissqcXj/1yJm+aNQu6by+Aimo4t9v7UIrebItnfLtuLD1+/Fu1SEphajkMErnT+Jg7sikevmIJ4c2wFM9rOkIEd2Q9k47viyS8YpYRlfvwkkRuaXSBnuTVjWRdRgSnEUWOqmRweuDQ6he3fMbvDjcdfXwGPlzLMwQtUyl5t3HESA3tno1OHVJw6XSUUNbt9THSZ14YVd4oFsLGMaiK8Hh90RFNqxbYeKYxJp6JXK+pbMHtkb1aXwExaW2RUeWmE1NWX7OfNx/DC35YLx0sUFeLPipFxYRtSSkl2/ogLnxR2XbCTArjTzTCUNkNX7YArPbr8NB3HZbOEOjJh8zx2bTuF915ciapqUQLKbAbX0AJNbQvUtS3gM1OBhMj1hPj0Tz+4CM0kMyq7ro4fL8eTT3yPW26djCuuFKh8RPsJmRQyl0eg5SCGkZpYehJUJGHNAWdL65HWhpqF34P5eBX7UXr9f8V+c4B/9OhRBuidTicsFgvTE5Xa/hIX/9JLL2Udwc6cOYMnn3wSU6ZMYcCeIvukD0qUnaQkgXcqWUZGRqBxgJK99NJLrInAf9uWl+5mkfvwpYikmpw+NRJ1Tqg4HkZSQIEf5dYEEczLBQg4eFi31eCT/mxTErLMHnSPC2qmt9XoQVRut8Pl0UJFHWfFYCujAIn72FV3Com6eEYDUSoPIiDOqxww6nnYHHoWrY/YD2VsOvbFtIyeuHPjSoWRCN8xxDuFNZHn4GgwwGV2Y2ML8Vkpogxs2HIUg+I64rPJ12L50RN4bPV69lCTzOpyY8GeA9hWWIyF116G23qPxk09R+JQXRlez92I/XUlWF95nP2AVOlIwrKSSdKEjIQKob7cewhPzpyM7qkpWLBnP9ZVnIJD64O2NnaKlcZT2tTMJDfph8zt82Fih8744fAxWL1u+ALhEEFFhlAho3OIDX9iRfWZFKeeZ5KZZCcbazB/5Ze4r994jG7XATtLS4SjIDoU+wInqJkkewEXaUSKOw4Di6xQmho9NakYuBc+FeQAh58tOch3wgerPVpbdeHBQUopJCEaNYQnvSYWH0uSn9JzR+0QqBzyq4t+31J4Bld9uwg/XHM1TDot+mVkYFRODvaWlirTq1i7ehmPW8pOkJKcjD3AcAAJIomvjerSAXuOFKHgYHBtkR8GdYdVuamGgVXOYka3bpg7oA9OVNUwdZ+OyYlIs5hjNoqKN+pRQxd6OFNJDvKlfTNde4XP0bpaUIFbXvgWHz12Ofp0zsT4IV1Zc7R7Xmq9ffqYjPbo0TEdy38+isHd22NM/05tAvrHSqpYvQVRe9hQxMBiLIDADov/FRkLMj8PQ6ATrzJIOniiFHdfMwmPXz8dL3+5AR4jRftDv0PgiZ1jmkNf8LX8wmqmcnLn3LG4adYIHCksZ1mpnu3TkJYYCaTaaofyy1AogUzxuMPHT3zn1glFYsfqsHnrkJ6ER6+cgqE9/v36MzruyoomBpozshJZYOOnbcdhc8TmVn+36gD+NGcEa+JFfHDSs/cYI9dJaggFGYsw3NghUQfeNmb63B56ZoXdGGQ+HoY6N/S1LiYRuu3YbuhT9HAlk+aqLHQvXhC0TGQmWxCv0eLBu77Cof1FAUoY1ahEqC2HrStCdjoqQR9+kxZ+rQoaD49uPi0KdT5oGl3QVthYVJ/Mk6DDnOvGok+XzIAj9cozy7BpzVGxrbsY0UmIA58QB5RVAzYHuMpa8CYDNXcI2S0FW2wtTsCgCZlPKQjz8UebMWp0N3TqlAqrzSkEsWQOmKrB2jqrk8Zlc4KLM7Ff33ltDRZ89+tqAc/Z/zDA79mzJ+vORaL+S5YsYUL/W7ZsYSD/8ssvD3yOovLDhg1jYH/VqlW4+OKLo26TLdwxCOPUkOD+++8PieATref/te2tO6UIkC0aF9INQohJAtgpBgcS9Q4UNyeiwWERI/eSfKbchHbLOfphMKh/vS5+vcuGnTUF7He/pCGoAFgv7NgL3xXmsoe3xImXRpJpNsNOFBeOZ2NxOsMXdg4ZZiNeHnE+DBot295zOzehwhZUfEkxmpCewqGR88CkNsHXaIY7vjqwE3nXyUMtxbhm02fI3S/MWUTHSHpI19bho5178ddJ4+D0efDYgRUosTWEZr7p9zifEAosDo2qEDBccjQXd04aiYHtMjF9YFcsa8gTAWbsCDvt36zTBq7Fz3cfxPtbd6PR4QxG4IgxIxYzslMqRYpFHEU8cErFh1ugaVNyaCfVg81luH7lEsRrDFAzfV/KpPCMr8xAMjkDdPBGH1PioU7CQR49wBt9YpdTDurGYOQ+wsIjyKIxuf2YuXcBshMXN0B7kW8r8MwN2wABLxF4UyMkJaNzdbquHkvzjuHqwQPZa+/MmY0blyzFkcrKEGoKA/e2KHMbA1QYdVr075yJW5/+NmQaAkfn46Fx8tCzS1LY17zr38NV80fgusvHsIdna0aKRd17paOqpES5UZYsY6BRwlukOy9eFnS8RG+jwsFPnrxSHGTbUNP+vBIcLChn+/5i7T5GSXnj7osCRZvRTFHdSC6IovAd9loY0BU4+tEvJpK8lMteKhkB1B2HCnHjxaMxcVg3rN56DD/vP4Xj+VUsOsz2Q9kPr7LCjwSwjHotRvaO3XK+rXbkdDm7DgJZLvEWDDl2GlqM+AELPlD3aR2HvjnpuH3maJZhoHPUr1Pmv91NlFR2Fn6xDcuX7EMz0VEoUJaZgMuvGYO88ppWi45LKxsxdlQ3jBneFXt/Oi5S+SI/70rWw1AVu3GdI1WPmkZbgGYWy3p2SGfyu3IjpZ2EEy1QO4LPKd7jg9lmh6HGhebuFoE2FHhT+PeKqYNx35+/QHOTEKjw6VTwWaiIhNbR1rt9E4CPZUza0uPB1ZeORv7JCqz+fHuI065vdGPtm5uw6pMdUMUZkJYWh6oSUQUoTMWGjaldGrjCUsaT5xpbwIsF9pE7Vr6XVGoOP648iDvvmo4Eo551nQ5pntfGnjOBbr+UuTxTi+rKJqRn/jpFv9/C/CyMGjkvSq/9Ue03B/gUgZeKbAnA7927l7XvpU5f4ZaVlcUAfn5+PvubuPlutxsNDQ0hUfzq6mrWOjiaUfSffv7bpiS+pld5kW4UOW4yMEvm96sQp3Wj1qYE7ING73Qx/3vSVE3uaFHXoBFAitNrsWL6zfj05C78WHIMdq8HHSyJuKbbMPxSdwhHGsUHosEDvc4Ll1vDmlTRsei0XugMPgbuyc7v0hMzO3XHvqoy1vQo02zBkIzsQCT+TGMDZq1+F5LIj9ejgsejDjTeItrPYW85/DojOI8KmjiBYOtzaFiHXG2CGyqdD9+c2YFrRw7AqtJjKLbWK3OyaZdGPxDnBVpCn6ykkDNu+dv4csrV+Ch3rwAUVUKXWKoIjgbyCVx/fzYPV7YMwJK9efhgWyRdRE1A2gl4DLIotQzwkgILgVC5ook0XE+6W2ikFbJTijbxaPKJbcelcUq66GwihT+ouy6nFztGynmo9DcrhmtlgYu27rfha6xbroMi3SJvPabEprBBlvJvZUz07vdHcwMAP8loxJKrr8SWM2fw2Z4D2FFwloEnmnMVdXNVsigPcPr0ZVMGorbBxugfUAL3DgUw4/JiwTc7mKzd7Te0jTZR63cKzZ1EJy8iuE2ZBjqN4QCfpzGEngK6DimSX1zZgI6ZSejTNRM6rZpFPWMZ7YO41pJVNbTgz68txuLnrkdSXFD9JdzG9+mMhb8Eu6IyuVFyStSyCHkY20gpgk+vp2pNqJGaC4kHJYHMK0YMxKqlrXRfpeJDkXaTGGfEVecPZT+rNhzFy7IGPiHzRc22jBxSUywoqmlA75wgFfA/YSry6uXHSqIDRo5dO3JqGKOyqRU6s4qz5tfyeGD2eFw2aRD0YVHbf8eIEvPUw99h/57CEApOVVUT3np9DbIGtxPHEhvwabUaTB7RHft+EqSMtVYfXMmha6pfr4YjywhThSPCuWHOi1ENZ7qhzcc1cVBXJMUZ0WR1BgI9ljN2Bu7DYzlkaocP5hI7rJ1lmRhStDIbUH+yDs3NdvjpuvF4oXH4oWkgYK6CT6+B2u6J7kDR88ccpcmVaBRr6dY3G2mZCXjzse8DB81GTcW4Yg8FlcsDn1aFShHcK+5RGke8BVxDM3gxeBRtbEpGqlUFpwWFuoKNuYIutUwS0x/ftgZoMIZiqT8KwP//g/3mAD/caIGR8+PlVldXh5KSEgb0yYYOHQqtVov169fjsssuC7QEzs3Nxauvvorfmw1K6oL8lvKQKH6CXniIydcNu0eLGqcZLhbSBRJNDsaFt7t0ip3XaGvpxnqZTmcAAQAASURBVPh/a0wpBosAXGOU7lOENMuYyKQnXxg+m/3IsyQ7dwsykZKpVDwD+nILXxgp5T8ySzlrsrbgFNQmL5sTt0sNr0cKD4vH6+fgdmmhzXQiLs7BJDUj6uWI2sQ5MHvLa1B7W1lsaNMJoQCf0WB0fji8Plyx/iu4ncF5p0ZSmnqNYpSbXiMlmDqvDX/6cQnK85XrOxinneOYCkig265opDSiaxG2y0AeBZGI6sB0vWi91sDVOXR+WUSewDMno/BIxjYlG6dHxY4t4lnV+jO89frqKA8TNiamiOJHwikOapdQKNnQL/Z2GagRjzv254BqWyjRmuZ3cpcumNCpE6a++C/UhL0v/zIrGo4CQqcN64Hb547BiULlLqXEWWdzEGVsi5buxfwLhzIZwdbM5haQO+P+i8CYza1II2IPYNE3EyTsxDFIxbwKVlnbzAC+xaRnqjrf/6Qs4cgSOmwfoUdCEWfSff9hy1HcNHtk1LFTs6iUOBNqW+yCv0rXuFvsMkuOiTjPbM/EtlIJkfgA+BIBPH2nxeGAlkCTTqSjkBZ4RhrumTUOQzu2w+Y1ebCTHngUIweld5dIgD51fC+8/9nPsFqD0on0f2eSCh7WUIxDCe/Ala98gz4d0vHi9eehU0bbhQti2Yg+HULWWY3VC22DmyIgooMv3fM8kytldDbJaK3wAYZqG158ah4mTh/Qpn1SNP7ooWI2H917ZSGrXWSUd8O6o9i3W8jihpi4+5LjlfAlxw6IabQqXHDjO1A1eJh0I0V/OZ+fqea4E2ULHPW7yDIyGVBjhYPJfrKXVYArRQ9Htgk9O2cgLaltVCitRo2X/zwbd73xg6Av7/BB1+iJWWeia/CAy/Yz4C4ZZWp+WnUYfrcPKmr4Jas14r2CsyD1AZE/yygKTgXP/gxq5BBt8aO54DFpal/c8NdZeOC6D4NrDH1HT7Qh2efVJGzgA6+XFexGMZ7ANfkBURwPFheMJnFM3ckNWjisTvzy/W5o44zw9MgMKDjxFiMD+VyLIPOpaHEkox0KI+Pb2Bn5tzbfOQ7+/1t77LHHGM+e6DEtLS1M6pKKateuXQur1YpnnnkG8+fPZ4CetPLp86mpqZg3bx77fkJCAm666SYmjUkSmcnJyUwTv3///gFVnd+TzWs/GovPbgt5zaxxh9ybVo8O5bZQsM6JEprxJiea7YYIkG/W6DA5s8e/NaZ4rRHTsvpgYwV1iFUOYZK85XnZobJw8kVuZEpXHKwvUqQfkamgQqY6E3/esgTVzma44UGSwYgcSyLmdRiAYakdQrbX7HaIHQk5EdyzPcr3zv7v8Wvg9auhI4082VssTs1WJKIv+dHkIpUhKRoM8KQ+I84rR5J7jCITlualSFm8QL72+Gn7sjnXAr4kH9TEUxcpO5KR9rzPIqCYosoG6DmNIphin6XINGmxG2QPDaLWU3Gn6Dyw536IqhwHrkkFNwFkOYiXOSAsIxA+ZSFzR0UW1GRA5jTJ6TqkohSLr6LgCLBobQxqAZtPnQ/6JkDjEiNEbVCxZeMgOcRwyQsFM0SJ+pEz+djcybj/qx/Z30png4pLORGESh9ITzTjyqmDUVbXjJcWbhKaSCk+vFvhmfPAM/9YiYfvnIWO7WKDxW5pKShrbA7I/DHnLuKAKNIpdCnW2sWsRAz6QIIlSN2746oJKC6vZ1rbEl2Erj26RmlZYRmjKNfqp2t2Y/yQLujRTug1EW71NjvqnPbQjA0VkItN1JhpENjv1SMHokN8An46ms/6CVh0Ohw+Wc6OhX2XfshpETMTxfY69M1Kh0GnxdypA1hzqgD1Sma0/ZQEM8YM7hLxnkGvxStPzsdfn17MVF/IoXCkqFgkPRwknSytwZ/+sQiLHrkGGUmRzpnd7sL+g8WMItO5Yyq6d81olU4yuEc2o+qoa10wlYtpGIcbXrOGUTjIaBTJRgP698zEyWOlqKuzQevnMW5oV1z23Hj0DGuSpWTU3Oqjt9dj9fKDAUoS2fDR3XD/Y7ORInM2Vy7dF7gGlEznIeEDDasjikbTcXJ+xnXXUxdsUe6UJCJ1jV4Gbl1JWgY02dJBCdBkPdxJOvYdVtxPBbUiEJ02vAdWbD4KvU6DUQM6ISEuNmAc2jMHXz55NaOTbV5zpFVQTO9rbV64Rcltciz7d8nCvh2VUJHSTDhlTPqFxmmkjr3UP0KYh47dM3DBZSNR7XLh8293Rtkhhz/fNBEXzR6Ce+78AjVn64NLqEG8McIlUcXi3rbS6niz8hxxenV08M8DY8f1QH1VE+t9oKlrAXfcB0+HVPDimuHp0x66fQUBJyfEaL2VrwUc0LlbBnI6/XsKTr+fRlcq/K/YbxrBr6qqwrXXXsui7gTWBwwYwMD99OnTWdMqKsD94osvGD+fQP7kyZOxaNEixMUFF6c33ngDGo2GRfClRlefffbZ71IDv70pFU/2uwLP5X7LFlQJUHv9HLwiIbPSLh1b2A0vrggmvRtWZyjX/q99p4Z0YP21dnevadhZXQC7z6VYlHhv7+lI1EVPzV+UMxyfFmyBy0+dCUO/TyC9sdmAXf5qqLWVUJFcJn2kBdhTy+H7okOYktUDb42cD51aA6vHhRaVnX3P4xYbpkRdsnk4nFrotMEHmPQA8YkZD2GdFAR8/aTuE1ZMy6AnKfdQBFyMGDMwavGCNwWVNSTQKx0d0V+8qV5wborC0/sUaSQZteD21TE7+0rjJaDuY1F12j4BfkZjacW0pVp42nuCIJ99R3RipOLaGHsVuO3hNB8B5Hjj/NA0R+mYGa2OzAf0T0vH0ZrQ7sjS9cCAqgbQ1wZVghhfvDXpTgnkS4gvitHbhbYGvLNvF+4cJihDyG1G/+5487oL8crKLShrCGZV2ifFw+LX4kxLXYAmRQ/8qYO7I7+0Fm8u3RYoMCVVCp1OGHcgEtt6g2Q2tqMny3HVA5/hsdtm4IKJ0dMWVw4ZwLrQxtweyXLS7WgATLWx2xvkZCSiZ8egNjWBpn88cjG27S/A8k1HUVHThJREMwpr6lFtJZH6KNE+AnFuL659cxG+uvcKdM+KfIiv2n+CfZKuP4ZNxIg9ddH105wRxlMBN04ehkuG9UOHZIFjfd2Eoezfq1/5mvUlCMkmBv1eVui6Ylcerps2DLfMH4vDJ8pwnLS8ZbUJdO6oqdNL981hNQ1K1rdnO3zxzo1YvvYQVu84hjMqZZoigVmSLv184348dEmQYkXR8AVfbcfiH/Yy5SPJenTLwCP3n48unZUdILKXbp+NW59diOYjLcHD8/PQtnjAq7xMapXukCuuGIMrrx/XppqycKPPP//4Euzenh8B2g/sKcB9t32GdxfcjDiRglFytj4quGfD8/HobDChWuNjNLXwDBc59qwYVa2CC1oY671BnrhWBV2zl0XyvUYVU3Pp0C4Z2u4JOJJfDs6oZesB0Vfo3zSLCR98vTWwbzqHF08fyKReNTE66XbNTsWzN83C5Ox2ePnhxa1PEhd6nrMT4rCPQGwsEXr6mscPZ3uLePAc8ksb8ebf18Ji0SNVq0JTM1HsmNY1fGqONQy7+drxuOLiEVj6w14UFFQFQZd0PArnNsThinHuORt5v4xjxP6WnGejSYdLrh2Drxftgt/ri6j/pc8lJZkxdVpfuKxBeo+60Q5141n49RpW1Mu5PYCaFm9S/hOyMmzcyQnCT9g5ufGOqf92Hcg5+x8D+KRhH82MRiPWrVvX6jYMBgPefvtt9vNHsOmZg9HVkoXvS7ZjZ00u7J5mRmkhENrkjozOK0XyOY7kyph2DbolJODqrv837dkO5hR8Ne4WvHD0R+ypOxN4PU0fhzt6TcHFHYQHcDRL0VvwxtBrce/+L+HxewORfIrcE7inUK1K42VAWjoOOfjbXJGPFw7/hEEp2Xj20ComLckoNjLQGmVG4BM7+oa8SsFptZ/VAEiPIj8pD0ncgBATZD39DrWAH7U8fAke8CQXKfsoU5hh6kUhu2cAmzVnIguPooqNrGIZe9/oZ84ET6DbzuJLrbsFtO5WkA6yB7whbMetTVvkIEQCrHAMXoufyVGyhk+yDVEmh6JzBHAYQBepXfTfjWOG4r5p4/CP7dvx4e69IRF3mh9WD0DZFcaq4BgooM/o63m4UqKMV3q+SRhKbLKicAaFc6EGXt+9HbO6dke3pMimOFP7dsPk3l1xpKSC0UjSEyzo3z6DPZAKymtxrLiKpfwHd8vG7f9cgpKaRvY9Sv1L5tYBWrfQuIhFj0Xfo7XpdsYB1izgsR9+gjnRgEkDhbojMpfLg41bT2DH7gK43B4M8SXhMOpDGgWFTYlgKg6OFJ6B/Gh252XjFelxE4d3Zz+SPfTeCmw5RPrafPRLhGgUHi/+seIXvH/bxSwCvmzrUSzZcgQVdc2C3CQ50sxxFBwhqV8CZWGIkkMg/4phA9AuLBtCc3m8uBoU85D3WGDzy0L5wiiOnKkIyBm+++RlWLrhCH7YcAgV1U2sCdDMsb1xxflD0T4jdoEm0aVuuWY8qtQunN2ZG/W46fXlu/JCAP5b72/A8lWRNQCnC6tx1wNf48O3r0d7BSoMGWUWUpsBcjEjGHKUTRHHseirHRg3qy9yMpJ+NWA6tK+ISSsqHo+PR1VlE1Ys2YerbxB05k0mHexES4litP/URDP6DGuHb1ftZ9k66XpgTcikoAYFrUwcfM0kOypGn3m6HlRQu/3QES+e43DvnTMwaGgn7D9Rgo1785kMJ9VJrFx/BA31oc4WFdAuXneQceyfueP8Vo+93+BOzIkINKVSMOYsmjUBStjdl03A99/tFWiEMe5lIZsqdH9mjphH6PJKx2gltRrxMiUxAN7pRJ/BObhg3jBkZyex65sKWhmF1KgVMgVRHNDA/kgkIVrhLtuQH2ixgSOaTKMVmrREXHPbJGS2S8LoiT0Z/ab3wBw889QPcDjdYldqYf2mAt5XXrsCRqOO/fQf2wN5O/MDGTGVixZdrwx4aPDmlifRvW8Ovv7XFiz6bDtTXJIcirh4A+5+dDZGjA2uKb9387NgQuTZVnrtj2q/Ow7+/x+siyUTM7O6Id/6I9SSBh97mHCweihHHsNj54AMixVatQ9Wtw7NbdAVbot1jkvDv8bcgFJbPc7a6uH0uxmAM6i1ON1cg2VFR3GkvhxalQaTsrrhok79EacN5vNHpHbFson3YcnZvdhecwo+3odkdQpW11HbbT80GpEKo2C0rC46cwDfnqFUsXSgwXdjzkcUAB3aJV2S8lDajugAxHvhj4/BtVDxuKx7P3yXn8uArpTpCERGGAYM/bLH6INKoYNt8Mh4+KnAVwLkVFxp4ltV6WEjZk2VeKhrtfBmBzmjMXXkwzdCheumOGh8GpTUtLBMhLRfn0WgnuSo4lHdYoNZp8OFA3rhulGDmVrKysPH2etpcWbMHtALWSTbRiC6Rxe8l7c7dDzSOHjAngZ443ghykVvETWGAIOsW6n0WfY+ZUgCYVzi8Quc/EABrsTtF/vC0blZmHcUT45TLmqlB9KgjqSPGmrUGEhqDrTxQD6KqkT1ijCjeffFc0jRGtFQT9FMjgFatXJzzoB5jCro7ByciTxuX/4jnvZNwf6qcmw4fArmfS5B1UdEtTTGdD8PvpcRlQkCzzzdYsa1wwfh49370OxyBabXJTJ+jJSAkIVW4816PHDNFEwe2rYH7sUTB2LTgdNR36fNeilSy/PYcaIYRVX1ePKjNThxVqhLCAQbyT1lzpYwmBCqg18oHD9dVhsB8GuarAzcM9qWWHLDaEeihCXbmhgRlYyoOleeP5T9/LtWb3XEVIchszndDGhSNLm0rF4R3JMR0HE6Pfhy4Q48+tcLFD/T3OJAwamqVh1Ce5MT8x79FOeP7YMnrpuOw2cqsHDLQRwtqoROo8akAV1x+YRB6JAW6cj8tOpQTMoNgd81yw8EAP6UGf2w+NtdAl1L4Su0newe6fj8pwPgKFIfCzXwPLwmFdTNvhAdeDKiBd378AUYPExonjasdwf2Q/bih+sYrUiJckWHsW7bcVw9exi6y7JRSkaNxCZM74ut6/MUt8UcxjQj4pNMGNorB1dMHwyNn8NHjTbo6MJti4mqNFR0K1eQCbwt7vfkwRLknagAr1UjPT0eLTWkY8/Db9Ax8B6IfkfJAjLJVIq+a9SCIyGXkqNzVdMALj5OcBTMJnjdPrTLTsLEGcEM4bBhnfHd93diw/o8nDhRzu6fYcO7YOzY7iEZkesevQgPz32dNbkMv2x4kw4dJ/TGL/uLcKaqGZddPw4XXTEKO7ecYDUemdmJGDmuB8ucnbPfl507I7+BlTlK8GHBG1BJVX3SyYhFpJVZnN7FbsQmlwFascK0yeXEt6cOY3H+UdQ5HUgzmjC9Uzdc23MwMk1tL8Cl7S06uwPba4Qujm6PmtFghMSxsBD9Unkab+VtwWcTr0bfpGCX4XRDAm7vMY39kD21Zx00XAl8nFAwG8so6u9zqKEx+Fj3QTKVmocvpnoKD51OGVmFrO2t+kCtN9YZkpaNV8aehws798GCY/vxc/lpFkARCMbiNsLG1j45EROyO2HJIXk3XeldYVX3JYgVlNKTVQN4E/3QNCpTZAJRTZKOFKk2qgqhXaiflHVos5LefAz758TZmNahK3sYzVu0EGqfII0pnxNKWEwf2gMPj4vsKHnzeOWsUccEQTs7omibxuXh4CE8IrsYeL1AfyIah5cYAxJ+I7aThwuTxuRYjQP7TXRsWVGoPN1OEqn1Qa3xf8c2HTodUxaQyhdqeRdWvXsbfjich4+27YVxnyMqF9+VqKL2tuyYNE4OXhOPp3/cCN7II20fdRoOzhE7dKnb7AkH3nzofPTtl43shHgWeaeeDH9ZulLMnAhz6UoUFIniOS3O794D47t3xPjBXVlH1bbayD4d0L9HFo6cEiLkMp9MGJNIsZJee/eHbThZUh0BBph/IV3OMnoNuz7FIuEHP1uFZ66ajmkDu6PR7sDry3/B2j0nAXlvP/LjVCJnnzJJPmKQ8RjV6z8jWSkZFQW3ZolmQ4Du89PGvBCpy3Cja2bjz8fx17tmKgKegjM1bcr4SHO2dtcJnCipxqna+pBr8tsth/Dd1iN489Y5GNOnU8h3j5wsj0m5ISPnlGz9npPYXFmGhm4CXUfl8kPf4IGuycfGqFYLevjHmxsYvYplGVuzsIOjiPoLf78CQ0d0CXHQJCPnae2246H3m0jvkhe7vvbxBrz+8DzEt8LJv/vJuagsa8DJ3LJANF86Z30G5OD596+HyRwMTu0+KGStfWYttE3R9f5Z1oLqC8jRtHmZDGjspxPNpw8+rRrV1c3gnF5onB4hA6DXhtCBWGfiyCVT6AbCeFCSF8ATVw2cywXOaABP9Bm6zqgImwMaxfMqN5NJjzlzh7CfaEYR/Ce/uB1/v2MBrETT0ahBpBxX53T4U+OR3+JEwdK98Hr9eP2tdejbPhU9OqVh8sz+6DMw5w9Jy/FH4eCf62R7zv5PtqJsCYtwh98TCTonSmN0XGS9Ljg/cwQanEaoORUmpvdBpa0Fl67+BqXWJvAqP1QaP5pdLSg4WYUPTm7H9OweeHzwNFbUGm65DRX4PH83A+3UYVend8DLE5eeFl4VA/ds39IYxH+bPE7c8Ms32Hz+nYFmTuHmkVEb2mK8VwV3sxq6BKHwWK3xwydKOyoBaHrFEKbWwzKmtG+vmtF06BjazldRfvQS1L5/wAS2iI3P7gRO48VOay7bl6tFB39A5SdALGC/3jZ4CC7pMhDLi47B0yjQWgKdYQnIp/iCCjqyqLsr0we1ndofhkbypbn3EN1STh8ixKkmbXQOnFGYd4qKM6qE1LXVLSgyUGT1vJ7dMbdrb5aheWPnDhQ3NUYFBB/u34tL+/ZFl6S2KYmkGs2Y1bk71p3JD63nkB7W4Rc98604VjSacJpnyjEOqlWUvLwoSZdo8pp0TFSs+X8x4ppHA3CSER/8cG0VXt+1g43F1l+NpBM+aGVqdQRQXQkquONlNCenKA8KHvpKPzTRmREMlGz4KQ/nje/L/t6yNx8vvr8WcbwPjgwVXBbqhMoFCmxt8OC7vDzsrizDqZo67DxSjNpmG7KS4zFvfD/MHNaTUZDCjXjkK3fm4WhVFbx6nl1H8gxMQMlG1r1z2+EzytFWNvDQa5bROGS3iNPrxSNfrkGn1TvRWGWFlZSDqAGSuL+Qfwnoa0mpCDBqNZg1rCf+k+Zvia7EI+1/zkhh/snqGmzKjZVkRiDIanMhWQHgE8D161RQO6MjZbb2mkh4XXCUC0vrmPMj/wbrqs37cP/HK7HmuZuRZDEGrt0Ku1XeyFrREpJMeP+H7fj0x90hjQJJX9+RqYff6IWh0o1OXdLxt1cuw6XPfCEENNqwmrLCWdFornr0yMCI0UFKWrgRfcRDGuyyCZBiX/J95Z2swI2PfI0Pnr8CqTFUdsxxBrz+2c3Y+lMe1i07gLqqJqRmJmDmvKEYP60vNNrQeyAnKykA8IlOxGg4CttlONukhZZUehjabwOlx0+9YYRrRe2kRVl2XLL7ie4Z6lsSGs4gJS0VVFTnIV87ydMyGiOuQNpMWsa/L085+vzB+OZ4P+xYdRClpyux6WQFCqtI8YFn97p0vxM153BRFU4eKcXKxXsxbEw3PPnqZTBIBcN/EPOzfjEKAP9cJ9tz9u+a3WvDkaYDihFtAu5pBitqnLR4hX5AytC5PBo02A2w+7SMjnBlpzG455cfUW5rFsC9LhJUbyg7hX01JVg644YQkP9D0WE8um8FVBy1bPZDp/WA9wcdD5dLScFGugl41LvsWF58FFd1C6bI6WFdaW9BvE6PASlZ+PY0pbOFbrytOfnEhWd8eLcKar0g46jVe+GRxiEDHXq1GkZzC9RUnSWbI2Fp5hglSKPxCCDcpVFovhVqBH8nZHXBlorCEKhuUmtxRcch6GgUAO7+6lI8vWe9MAwaR5wbPrcPXqcGfp8QRdHovdAYvEgw6HCioQY20uk3kaKIAJwI1EucdMlIz5/OH/vdqYLXwEPtVwkygqLTQkCHut6yqLXM7ho3EmO7dETn5CTWYGtV/ikcrqpAflMdDhVVwuOi/EjQWdiZV4atXYoxsUsnfHP0cEyJVLrGvsvLxSPjJii+f6SiEl/vP4yD5RXQqdWY0r0LbhswAgeqylFptQaOkTkhsYweTt0TkZWdgH2VZQyohNBzpHlSovPIjI6FOPj/F+vWLgVbDhdEdXpo1+3TE/D6z0FFLK+ZQ0uOBlobKSOJijTEoZc3jhGPk350LYClNDYBjR6o+w8Vswjn0VPleOwNIXJPh2856wfaCZro0j6k0RbXNuLtrbthoI6hfqC6wYqDp8uw5JejePfueTCJD2La/pcr9+Dz5buZVj/dIbRtn46H2yLSwNjtFDrCLqnJKC2qVx502MGwazVc1YnuERuP6gqhN4UvRaQeKC0QotNL8zm0SzZrOCa3ZpsTq7YdQ15BBQPPI/t1xNThPVgxcWtGQGXbztOsboB1kw7fPxW3+oFsU7D7cGoyNR2M7fxptWpYZBFiOn8Eoslh69k9E4ZEAzw2QV0mMmwhmCM9CJZ4uQxt6PDg8npZjcCfpg1jr+0vKEVLkgpJobXuEfvIGJjJwD1ZaFGzMCJXgga3Xj0Bs6f1x4rtecwpk/oZiAJPChsWFip9vQu8VsOaSdFcXTxPGFs0MxEPXK9lakRsCArgXrLq2ma8+uF6vPqIoKQnN7fLg9Xf78WP3+5GRUk9KzSddP5A3PPUHLTLCa3JaWyys5oJumZ698jC0P4dcDCvBM5sC4wlLQGajfQcoH/HTOuDrXsK25ARDp8XgbuvihY0kKg35BgTNU/aL6msuSijLd7fgYlXXjFInnL4uOiOlNyqyhqwcfkB1FY1IzHZjClzBqN95zToDFpMmj8CZ4pr8fHtn8Ycr8uggt7B48CuArzx3Ao8+sIlbZuPc/Zfs3MUnf+y2XzWmIWXmcZm1LtMTKNVfiNLzx6tlqLzBhh1Krw46ErwPi12V5awVUSll1RfQrdJe2v2OPHSoY14b9x89ho1fnps30rhASuq+ZAajfy7rUW/BbpOAQP4lEV4bc9WrCg4HojcD8nIgkGtgcvnZfxayoYpPcPZc4FoJWx/PHwuDdR6dyBYoTN4GXimRlYU5U/XxeGREROxtHQX8p1F8FIyUQT3xLcPb/pnMAg0HgHkc4ogdmp2d3ww4RJUO6xYcSYPy04ew/HKWtidKnxafhgLdh7G4OwsHHSWkjwOJFEhAdD72E+4dbKkwOEWXyeeuDk6YISbihI1rGBWbaUCLgJvolqK9CFFp1CFa4cNRrIpmLae37sv5vXqg8u/XgR/QKM9+GWry4XbfliOb6+6DHWOKOLpotHD/2yTcm/5D3fuwetbtodQB6iD8Gd7D+C1C2fijV07cMJaG2i2FauugN46jUYU1jaCIy4s6cAbhWJfjUcViB7S7x6NqEutcB47JCRiVpf/G8C/aFw/fLImsjmZ3KaM7IF3ju6NbBClIzlQ5eOUChMNdSLtpA1AgTl2fj8+XbIjJEFEWZxo+5Gmmcp5qEmzBOCOFlbg74u34Mlrp7O///nlZlbAGP5VipYbGgFnsqjTHWZXTRiEV4s2BY9JEgOhSz0saUPXcPgW1A4e+maRYsXkFFt3/kjCNDUhNGq7/XAhHnnnR7g9XuHa4oA1O47jne+24u0H56Nr+9hyfbWNNrTYXIwZ5CElM6MIstg+BT1+k51DeWXw+p8xtS8+/2ZH1G3SvTBtch/Gb166Ixdf/3wQp8trGcAf1asDA+KXXjQcX3y1HZomNwP5LLmlU4mNjnh4DSp440K9eMnJFyZW7L4rLi1frd6LbmnJGDugMwPJ7ng1XAnqAM0mbCrZddOo98ekodF7m44V4l+b9sHhcgeaobKOrqx7WdiDRnTQjFVOoUja7YVPrUXHvpmYNi2YAVHelwoXTOyLpRsOsyLgWFcDjXf7/kJU1jQjMy1IPXU63Hjs1gU4fvhsYDhU+EqAf8OKg3j5Xzei14AcVgPx1gcbsWlLkBJERabTJ/fByYJKUmSFvVM8tE0uaJrdrEsscdynXzQY9z45F4/c+w2OHDwrFtjLOPEKFmBuUhmCmwgvMZ6mTLNZpOrQtikLS7/Lt2OgFsaIWkR8+8Pns2ZjsYychM/eWIfv/rVF6MNC2+KBhR9sxqxLh+POp+ZCpVbh+6V7FddYQaJOFBcgWVeK7nt8+PmnXNx45zRG5/qjmI8yxwpnROm1P6r97wh+/kHMooln6jLRzO7TwRdOLA67v3RaHssnPIBJGX2wv7qMvU4KNWyNiHJtUppwfekp1DoFDtA3BfvDPhtaBNtKkEr8hqARX2FtwZylX2LZ6WMhtJzDteVQaagQkYfPLciARlCzxYim1ypF5mjxitwXKQ2hUQfOqkVNvRP3bVyDHaebUF2agMZqCzR+I5vXaMev11MdQOTDg0BhvM6Ax4ZMZX8n60346egZnChuBO8kXrrQFZY62O4vKwffoGJ1AeRwRJsjWji7x6ejf1I7dEtMYftobR4tei38KR7wZh/j5Qc08CUJ/ijBTSq8lIN7yXYWn2VRdSXZUyG7zONfe/ZDTxzOGEbZnSRDqCwr2dbCIgbuyeQggcAkRfseWvkTXp48E/HlGphKVWFcekSvSaAiPb8/AEqprqB3Thoy4yzIsJgxp3dvvDBhGuL1hoCDQz9k3ZNT8M3cS1km4f9iRGl56PLJ4vGHZRA4YGTvDqxpUbgR9aZVbjXJfYvqRL5WivpoXx1zkuF0ebEvrySEEsOaMsW6SblITXua0x93HkOj1YGisroIcC/7KgNpKpcIwqWxA7hh6jDMG9OfFfF6jIIT4Erm2I8zRXRIibrA8/DEKcwHz0NrbU1bKtLo0CcN6hr4u6C0Fg++uYIVZgqYww/e7WcdTBsrWnDzY1/jRIFyYzLJpCg/jVFn52Gs46Fv9EPf5IehnoehWeBFy2sZstsl4ZKLlIt6KUJPUeNrLh+Fx79Yi2e/WY+CitrA3O8+eRa3vr0E5g5xmDqlDzxJOngTdfAl6uA3aVhjI79BA9LzMlV6WRO8wLQFMmE8K1SW6j3op7HJgXvfWobXF25G54wkduE0djfAnqaBLUOL2v4mVA0zo3qwGc1d9Ghpr0ddoz1434prMOMAiT9eH4+8M5VMKSnkMmPXr9DASl7oRNx9c6kD+iZytgSHxJWoRnr/tDbxs6+bO5Lp3bcKSCir4vHj1VdX4YP3N6KoqIa9/PX7m3DiSIkoixz8uN/nZ5H9v937NVqaHbj7oYXYKAP3ZA6HGyvXHMLA7tmYPLYn1KT6Y3VBbXNB5fRA43Bjw9e7cNPUVzF1ch92PPJjiqDKUOsOswbueC3cCTpFJzmaLd78MMZO6834+QGArVHBb9QhMSMeDzx/MbpQMyqZUZHrE69djinntd787IfPtuG7j7cI1DeiD3n9bI7I1n6/F8/dtxB/uuw9rP5mO3g5xZYyh/U2GApqYcqvhulUNQxn6qhIj0lnkjOyJ4py0zn77excBP+/bEa1EYMSh+FQ4z74I3QVqdEVPZWj+/oCiPejyUOFtAlB8Bgjyy0ZETXKbE1INZixv/ZsBPij+9nrU8Pl1jAdeWF/0cdCtJYBye3w0u6fUeewh22PR3xaC9QaH8ssuJxaeFwMgkNF0W5x9fK71CwyH3iCkaMRRrsh89azHHrI/gkIsnG7NXBxQvfMWNY3LQlanwUH6wSniOZuVk4vPDRocoC6tL7gNPaVl7PCTz/JT8rpICwyRRJoKrjVWuhN7og5p+PTqdR4Ycgc9hBIMZhwQadeWFV0QhFs0xjameNR4WoK8PD9Zj98BlGq0s/BT7QUOWYV93fFkAF4cGpkASzZ2pP5LDIml3iMcPjyT2PuoN5YevyY4tiEz/kxp2eviNc/3bM/RE1IbvSSw+PBwYoKvHn1hbj/61XwOkkHO3oIi/UeiFJkfsbegL233R7ijMzv0werC/JxpKoSWrUKkzt2wejs/1yx12WTBiI7NR6frt3L6C1k6YkWXDF5EK6eOgRVRD8KMwLUXr2gFKMUOSVqEUXHpfvbY+KgZ03NlKeF5vGSC4fC5ogs/GMFq60dK6dcO5BXVIX9h4piBiAZ6LUBzUk8uwbpliSpxDvPG8McKmOmEd6msAIClVBALEQchToTkscM2S4FRGV18UIHYYHSFPV4SDkswYJxAwT1FbJv1x0QnAgD4DbzsFTwrJ5Bmku31YObH/wSt141DtddEtkXgSwp3oReXTJw6kw1A+AsexE2XpIUnDAs6FiQ/eWWKYiPN2Lh4j0MHErWp1c7PHjPLBwqrcSafdQTIHR+JVD58uJNWPnUDRgxtDNeeX11CFCWZoAi9MYaL6zZJK1FhZ3BrIL8c3JbtPEQBnRth0Gd2+FIUTmsnYnPJ9UECc2nnCm0PTBZURAFi4X0Q6korDiUKEEsKxrJx1F7/TBVuWCsdrGOu8wZlDkjAdNyiDNFBgeULC3Zgn89dxUeenUZCouUdV/pOtE2exhtkaRAD+8rwneL9yA+Kw51Vjv4zgmMCkPRd/qRMmQEZOtrWvDuextQdLZW8Zqn13buKcBbr1wJ674SHLPVBJ7OkmNdU9GID59ditsfuxBffbmDFbSye0h2/txxGrgTI7noHD37pGyu4sEBmVmJiE8y48l/XIWaqias/H4fCk5XQq/XMvnJSdP7MenL6RcMxJn8KlRVNCIxyYwefdtBJQY5Yhk5w99+sDl4zOJ+yQHxU3ZAxWH7znyhSL6mgSrQA5OjK2+CutkZdkzkzHnBE22OeiAwac0/jvnPcfDP2f8Lm5M9H8eaj8DlJ7m70NWmrZEtKbI4KqtDkNvbBpOkLaXmPUHjYHfq4PWGF4zKIhVSF1hGgyEgzmFGVk/M3vlVBNAzmN3QaIW0pFrNw2R2A2bAadXB2SCFFpUeUxzUMroL71bB16QDH6gHEFUF5HMhdaONYQRKprXvhrt7zWT1Ck1uJ5OITNSHRr+/z8sTuuhSk6twWgwthqRUQ+pofhVcdh20Oi8rapbAUo/4TLw8fC56JgS7Wj41cgoO1ZajzCp2KBWNALJBo8WYdh2w+MyREI6yO9sDXaUGaptaSInTlKiptoDD/CH9cMvo4chJil5QZXNT5C32RUFjubb/AKzOP8Wi7uFcfLrGBmRkoMpmxfrC0xjdvkOggHVPSVlUp0CyXWdLcMMlQ7D+4Zvw4bY9+OTkQUU0K0Xvo4Xvmt0u7C4vxYScoFoIzdvFPfuwn3/XztQ2YMOxfFhdbnROS8bMPt1DON5j+3VmP3YqAvRRJ2l9wIFon5iAPulpOFZVE6wz8AJeEc/IQT4LjuoBjwUwVcqoSmoOzmQVDPVC54jwS3jyuJ64YMYAxuE26DSsLkEyAqKs/0J07VlBhUTBTlfWYskmqr2InXEgkEfyoxQttmj1+PDGi5lE6o78YhQ1N0XhzJMWOs946FTPE3FcYZcMvae1E+c/+nEQXeST+y8LWbN+PnAaDhPPsgaJp4WotrQ9+b8ffbMN2ZmJmDou0kkl4NYpIwknCpUj/bTfPt2y0K9Hu4hI/XVXjsFl84bj8NESVr9AnWw7dhB43o8tWhfoEaFkdP6XbD8K9xkr+5wwS5HzQo4QRUapSFvlpb4UQV64ktG2vll/AE/fPBOXv/Y13FS4GlHUTnwRHh4LB42d6CAyGmjYv9I1FF7zQ4Wo7HN0bsQxKRmpcM0Y1vYO61lpCXjriUsx99YPIqlDfh66Rlp4g2OkInZPnAa1dkdAU550492pRngS9DCWNEPF0KpAf/l5xSFwBjX4KN1dSTHoy6+3I29vsBdMhAyqw423/74K7kwLuAQtctLiGeguPlMLD/xwJym3gnYn66C1eqI68/Ta3MtHBv6mYllqGhXNOnfPYD+/xo4fLIa1WaBksmkkyV+jFn5L5Ji5Zj14kZ6kaSG6klNxzOxftwd+rRpdwzILv3fzRaHjtEUo6o9i5yL4v4FlGtrhwV5P4cviT1BkKwi8rlPp0S+uLzY5iFMf3dRQI8csPEw6xCVieodu2FhymlTVo36HLuPuCWnoHCcUi07I6IrDdWWBplRC99fIolopQu0njry8CyzPsQ68t/7yA3wBCZigGczCE1d4VWjkRUZRb63BwygubrsOHnuQF88KXdt3Qm5ZFRobHPCzxkuRjgivpoVHLCgWyamtZi94HhkGARBTxJx+lIwisz7qSKvEeZf+ZnrgwtjcTkHbT9AP5nD3iKkh4F5Slllx4XX4KHcvFp48jAaXg9UmzOvaF9f2HoxrNiyMBANqAvlUaOqFihR1KIpH8RI9h/32cjwRH11FgowKbls3Hn//ZTs+v+hi3LduDUqbm5nTIUkwWrQ6HCqvwD1VFezYjRoNbhw0FPeNHBPpmNLxU5diepb6qbuvWBRGxx9nxp9GD8VnBw8ytZwQcqc4zzwrFo0+UrsnunzdrzWnx4vHl/2E1UdPCsWP1L3X78cLqzbj+YumY2bfUFAiFaWG20sXzMBFC74Wrj26JKnLPTmHRqEYWuKkS/KQCXodOK0PHk/wEULdPe1pHHRWPzRO4Vq2JBhw9w2TMWNyXwYmqRDwgkn9sIw4yiLw0bUQSIsdtSPFnnCje+Qfy36BkfbVijEFWOK+G01Ydte1SLYIBSHvrtsZ4qixLs7iMTLzk/MoyN2y7rXU8ErapjpUFZaMJFKp8RkrdA27kcmx+fiu+WifFurMOv1eONMArY2kR6MfAzlkXyzZjSlje0Zkd/7+3k/YuPEYVBTU1nJBGUTxOJITTXjkzzOiZoUI2I0c3iXi9VNltcrgnucZ/Uff6MOy96Pz+AMfp/WyyQ93olqYx2gBUrG4ldbyY4UVyEyKE52hKFBFzK4Q9VDgeUfJFtOmpU7Tso+Qwo9fQ/e4Ml9eyFZx6DuwA4b3zIl4nxpb7T9QxP7NaZ+M3j2zAnOclGDCBZP74cdNuSFzqHEIzRDkTrPXwrSCQxd+WUYbGg0DqcK1xoG3e6C3e+AzqOFOohs0dPTE/z9TIBTeUuZGea4BTaOTAXxSQypqsQFWgI/TRDhCIV/TqOBK1UNfK/SwCIkbcRwGDu+ECy8LlR6mMezcdZpF1Sk63qVLOs6f2R/JybHX/mjmtLtDwD11q/XHGRTPna9bRsBpInUhT6IRmkZH1POt9vkwcFioXOs5++3tHMD/jSzbmINHej3DNPGrnJUwqA3obulFBBZs2fAMvLwnakFqj/gcLCvZjzFp3ZFtSsZr487HNeu+Q25zGSBy8SO+B+D+/hMDC+llXYbgo5M7WNdY1nCJgfeIpYe9RkCbItZKVmFvBkib3BlaN6CWN7ZiK4q4bQog0RhVPIwJTuhMbtjqzNCrNLiq9yA8MnICTtXW4ZofvoeNdwccEIkOQkoz6gQ3o/3In6FUEEyymLFAfkmDE9UZVqQboy+QGWYzjjrCwWbYk4WhOCoEDaJUAveJOgPGZikvcpQpeGjoBDw4ZDzcfh+j8VDx8ZUbvka9K3qhK0/yeOTI0POGqEzgkVdbjbVn8jGnW2RUUrJLBvTF2zt2RZ8McV63ny3B0KJs/Pynm7D9bDGO1dTgbHUDVuw+Bq/NBTNUDLxT9NmR4MW7+3aj3uHAsPbZ2HO2FF7ez7TpA9182XQIzaji44KRIbfPBxWpDBH/msCF9DCk+ov4VkLJpGyj0Jn237VHl67DT3n57HcCERKQsLncuP+71fj0eiNGdgkCE3JUHB4vNCoOOk1wyeyTkY6np0/BMz9tAkfgXn4HyKQ8pddcDW7MHdoba/acCK1b0FEkP4gOnrh5BmaEyUHeNH80dh48g6q6ZvZdAu9aBvIVqC1MtUPIIoQbSV7S9xgNI8Yc0fsuwtQch8cvnBwA92QlDRS9F8dOgF2e9CMLqH4ImQvm6EjygORMGYW+B/KIsb6Jh8/JM9oSybsSeL583EBcNXEwA6zhRhQh+KzQtihnPwLHwfMoKK5BQ5MdyYlBNZwT+ZX4cd0R9jtFypnqkVECh0I6rrbZjhue+QZvPDAPg3u2R1uNKGMhso9sonhYyr3Q0NrSRmPYNTBv5GmS7mooL5qcJ1ZwK73EAbe8tAgOd2vyn1SoSwC9lW6qEs0oFJHC0U4P89lIz0r6qKFPMl657XzhfPv8KCypZSB11858fL90Xwido1PHVDxy//no1TOL/X3vDZNRU29l17tUCKx2hUpXEggVmv0pH5uhivpSiM6LDPOTqZw+aKweeONCHXfmTDNJyNjyzpJzKsSsgs+11tLInngd/GoOuiYPNJJMqk6FhG4pGHPJkJCQCenmP/joIpwtqWcOB9GAtmw9ic++2IYH7puFWTP649daTlexSZjIzPJR5F7mULOYlU6QcZU/XKmY1p2TyDrw6iqaFeNerH6iDTSh35P5z1F0ztl/A+jTj9zeGXYT7tj3cYhWvnQfUrfbAzVl2H62Bm73JuhUGkzM6oJHh09Ald2G14/8jEric8tAMUk9PjNsJqa3D0Ym0wwWfDj2Cty2/VsGNIXlRjl5SLScaExh2j6TLFfxIRF+KkSlHlxRabUSS0Hrx8AuBnw5/jYmrUnWPyMD66+7Ht8cPcLoI3aPB71SUnG0oRK16gZwohSofNskhakxRY/y2mxavHd0Nz7K24t3J16E6TnKSit9MzKwoU7MqtBuiH6j9Qdk2dm6F5bNkGywOTtQ8BnN6IEncckXFRzG4boK+bvKX2Irb/A9ijgvPZUXE+BnxcXh0ckT8MKmLQrnTl7jwOPLA4dw+6iRGN+xE9NVf3fRNva6FNnjeI6BQo2dgyOLx8K8I7i5z1DsKigRMv4u4XMCZUSkVTg5rNxzHLsPnYWR06BTYiIMbhWcNJeyLuhMvpMcyCh15XQND87IigD4VFuwraCYgc14ox6Tu3dBnEE5PS6309V1WJurXAwmzdI7m3cygE/AZNHuI/hq+0GcrWtknxnepT1unjQc43oIjtzVQwciOy4Ot3+5PPaOecCtAQb1yMb6/fngeV9ElFf66/VlW9DgckJtUaPF5UanpESM69IRHz93FT76bhtWb82Dy0+RYOEbcpBPr5j8avibfQxnC+p7QlaG9OipMFbXIHzcq4tRL6ACHCkchue0Q5fkZGw/VsSaQvVsn8YyOSxrxhRwxC+FxwWkbdF+SCKWgChhTj/gIsqJR5ATDVxjdKu5AJ0HeOT2GZg9IdiNU8kS08w4W9nSJiUiNkdhgHv1+qOBSC05KV45uBf/ZU6Oy4v7Xl+KZf+4GYmtNFiSbFL/rlh34GSIE2do9AfAPWVtKAqubySpzBjOCUSpVSliDR4k4S5khnghcxHmG9N8nD5dDaS0DraYWsu/iclc8Rpo47XQtoia8NKYNUBLjgEugxv3fLQCs3p2x+JVB1DXaGPa/0QzCj/esyV1uOehb/D+P69Dl85pjHP+2qPzcCC3BKu35OHEyQpU1IbSqAgoR0vbkrSkWqbFH3HcdK1Z3fBatCHfJwpO787p2JdbIdBTohjtmxdpP61yQ8PMZ9TAmiimgFnom0MTXHhxwXqs+CUXbz08n2WtHnrsO5SVC920A9kEMVBGdRsZ6fEYPOjXNX1r1yEFA0d1xSGiIJFyVVjTMbqfGbiHclbEm2pmVB21LfI5267jfy4A898yH0/y4JE3gNJrf1Q7F8H/Hdqg5E5YNuFhfJi/AZurj8Lt9zB1Gq+fmoJoYW2WHjQce9CvLzmNn0pO4+EhE7F93h2MY76m5DjjmXewJOK8nN6KzahGpXfCxvPuxOIzB/FW7nYWWQ43IZgRexFjPFJqTS9bE502PbR6e2Adi1U0fNZRi2JrLdaWncD2qgLmNIxI64ir+gzDvaPGBD77+r5f8OGZXxS3w0MFm0OHRBM9CIMLEGUmHHYdK/KlT5Hqz+1blmLt7BvRLTFSRq+osUEobnVQ+28fK3iVh1ZYcI+yE6wCTeKXAOomNbaXlODNuB24b9JYtMW+zhdVTAKUlSixSHrJowp5EJXWNWPTyQJkxFvQJzNdkUZww7Ah2HX2LDaelnNK5Qcj/EMR+fLmZmRZ4vDw16tFbnbo9oSuuTx0DRzcqTw+PbAfWp50rgXJNjVJWaopouyHvl4FtUdo6lXnsrNdEv2H8wC6ZsCTIPQCkLaraVHBkyjOMxcK7um6fWnCjJCxbMk/gyd+XI/qFltg6kg557Zxw/GXCaMilG/kti7vVNTiYDa3PI99xWWoabHiuWWbsDGvIGQm9p8pw97CUjw+dzKuGj2IvTa8Yxuju0RzMmiZFv0DH/7I1Gwi9q8BSv02PLl5EziXIHPJQDgPxJn06Ns5E+quZtisghqWTkOcYsqgAF1TU3DDqCGY2bM71u09ieU78lDXZENmSjyMcVpsLjwjKNwQMGcalqR0AugbQytuKOpubUf6sio0V9hx6UtfBsZHnPUBHTPZ+WS0nFjhc8JAdNmKXH76YUa3jgZIKBSyOZIn0qldMp6863z07to6lzcnLVFozGWMLaso0T5SwhojVVY3BYAT0d6E8UZuialCuTxYvOEQbpo7ikV5W7Prpg5lAD94W5M6j4DknUnqgCwogXzKQEQz+pQ8s0NmNGnhsXpZEzyF+lfhe762FC5TJJk4460rTlGgRvJVpIi6vlng7tT1M0Hj8LNsgJ/47/Fq8XwCx6kD78kqRidj0p4K4F5az7weHz79ciuef+picXgc06ann62/nMQzuT+grUaORKzLkm1f1KbnxaZXdF779m6HG26ZhN3LD8KTbIA7xQi/Xs2oSMSfV3lIhYKuWcm5kAHBNjqaTDmLBiYLBElL0bEzlfjHV5sxtV9XFJ+N3o2bxrpw0e5fDfDJ7n7mItw855/wKgSi6PzF5LpSUXuKSRHgT7pw8K8eyzn7f2//O67K/5ilGeLxRP+LsXHq05iTPQp+qOHxqkLAffja8sqBLUwTn/jlN/UaifsHTGSdVKN1miVLNVhwe+/xuLLrkAg5RwbOba37gMSdH9kuh/HKWXREpYLbrofXrYaf5TFbSV36gEs2LcAnp3biWGMVTjZV45uCfbjgpw9YMy7JTJSijmE8r0KDTYXpKSNgbTagudGIxnqTCO7Fz4hR689PHlDcxr7icmisFCbzw58ghpll9ByVTQVNkwpqm4pFrtX1amjLtVDTdwB8vHMf6qnoqw1WamsKyklzSk8K8XeSGBUj+CqKctarcPZMI25ftAIXf/wNLvzgS+w8I+g/h1u31BRoWCqbHXnweMJOiUalxua8AjTanTHwGgeNTWxXL6ieBl5n//oAQ61KiNTKXg9wtSnwqwV0FAyX+ZJavwrmZi1GZ+UErkG6hi7s1gsr5l+D7slBR2xPUSn+/O1y1BD3VTZbRAF6e8suvLk5Nre5xUldklsHacv2H2PgXr4PMinq/uKKzSitFzJlJp2W/bT2kCdQkZ5kwZDu7bHu5VvQpX0Kq7VgkTOR6uKOF/jo2nrA0CDw6KUIaYvdhZ15xaivtTG1Hvqs1eyDC34kcXpM69wFg9plsaZBpOW/4KHLseKFG/HR/ZcgMyM+0DDHaxL+ZUWcXqChG9DSDrBlcWjqxKGpM8AbVdA18iitFDIXkhVXN2D93lPQErhpQ5NooqsEJlGcO2pylXjaB42Lh8bmh6aFKBN+ZHRJgtYce705VVyN5z5ciz3bhYZ0rgROmLtoc85xmH/eYGjCopWJCSYGVsmITx4rEkvg9sOVOzH+6ffx5uptaHbEIP0D6JWTjtdums26BtP+qViZlF+oZoKBQ1HPmCL5RM+S3ZmBqSKzpavYtSC3ey6ZAJNBG0LLiThmcY5jATU27w6hAV7Uy5bnMahbO5w3qg8SLAZYjHr0aJcKY7UXukYfy3r4GZ9dC2eaDu5ETUQXY1LOokcAZWtiGTkNO3aeRos1cm5HjuoKXVjjMga2YxSYt8VkeUxkZSXg5usnILNjKoxjOsLZPg5+o4adNw3R73Ra+Mx6+OP14M16obhYFiQQ2DoKOtCBXUiFYnTPCQ6PkqOzZvtx/Lz1BMsuRTP63L4DZ0Jqedpq7TqmYtz0vlAp0JCExnYxbmjKBBpDL0iW6eUAS3zr2dPfm/Gk3Kbw03rI4I9j5wD+H8B+LDvI5AqdDgmoK1+ABI4+O7H/V2+/sKkeBiJ7hy97XsqvE/8vtuQ28bDndu6Dvdf+BS+Mn4Gb+g/DX4eNx9fj7sCAxEi9cLnROuemBk8yLjQZRVjp8UOddo81CDQWp98DjTxqEsV2lpfC7dLASzIOUWhF60sEDrbd68Z3Zw7gul++wMy176DWWAsYvUyPXv6gULWooM/XQ1+kg65MB/1ZHfQlWmia1YzCEtg2ZVROnm7lmHlsLCiAXyYtFwnyxfd8wei9ygnmXITXzuXX1OGGr5Zge0FxxL7Gd+okyIlK2w+bDvqTKCBZcRYUVNUpqCuFf54UPYKc6pD3SE6RePbRFkhOVGXhgEQxnKvXaDC3f28sv/EaLLzochy58S5sv/pWHLnhTvxz6gXolBBaLPz3TUL32GiX47927EO9zR51/B1TEqNKh0qm16ix+tDJ2M86cFi856jwO8dhTJcY17k0WB7oki6ksutb7DhdVcdqyBk9SQT5NC3aFmroJe0nfL9ioR/5kOL3yGmq4h14d/tunPfGZ3jk+7WCgorMumWmMsqRROlhUXxRCjOhmAATJ+jmkySly4gu/jiWOVDqW0EORzKnb9NjsGdmGj7903yMSMiApcKPpONeJJ/0BeQopW1QEenms0W4+LUv8fVWZX3+9btO4k9Pfo2124/DXesWVGU4Di0dqPuSMkge0i8HV80LLV4kmzaxd5BC08qBSG83O1z4dPM+XP3Wt2iyxwb5UwZ2w7rnb8E9c8dhYv8uAlXJGNbpj+OYVjwD/rLbjrIbpFJsrvIjNdeD+AIPtM0+mDVazB/TH988c20E4Y4cAbeZY/QnV5xwo6ukQmrZ9cd26wPMJW7YM3WsuFh6S/4xFnjwA0OyMvDsTbOw8Z9/wc9v34EB8anQe4TvMPpQaw1TCBRSvKQNjVVoXWwSVV7kRuD+1tuEvhSSkdPEEQ1HYbs+o7rVa5PuOz/1HaB7TsOhvK4Zdz3xLa6/ZwFqbQ42bnJ+yQkNWToDnFlyvik1JQJ3ArqkdsbeU7hpyOlq9iAhrwGJxxqReLQBpmIrqwcIGbvPz+oPWlNAo7epE3Mso/epkDl8W5fcMJ5lY0nAIWSsMic8+sQJDmHALSRmQV0DXrr2HSz8eGPs756z/7qdA/i/c6Ob0+oVHiYeT/QGWBJw3V2pHMlVMqvHhds2LsWUH/6FD47shcchC1XTLUxFnYysG+My4UldRYs5nfsgTqfHVb0H4tGRE3HH4FHok5KJlwdfEbODqY+B8OiHRY2WPj21G5vOFqDF7oWHeEoxTKtSo8Yhq+CLYk6vBxX2Jszd8CGeOvgj9tYWodheDy7OC3WOA+oEQiB8ANzrzmoZxSR08CJ9gqm38fDp/fDG+bC65ARO1gsNWMKNwPZdK3/ErcuWw0NRtjD6D/kv8p/A3BOos4rydAoonTZzy7dL8dXeQyEL+sic9uidlha12RZ98tYRwxlIJYnI1h4s7DsqUoyJ3B6T1Gs1jC08XFNUBhx7/B4cfuROvDRnJtLizFh8OBdf7TuEAyXlitdMWWMzDpVWRJUfJCPwvuaY4Lwp2ewBvUIKZcON5mnuoD4oqK6L+ayjMRwrq0KL08Xm7KkLpwTAtxLSpLmZ0KMTksxCBq6qUUFH30iRV1GXPEbdMb0uNTsKvMBqIIQswMpDx/HcSqHTrGTnD+zJzi/L5ag52NOpmFX8Ommu1/KIL+YxVpuFl66YhfKa5ujBSHJQmh0Y0i4rdrSUB2pON+L7hXtxzajBGBqfAZ0jrKGeeD1Z22tYg0z6++VlP2Pv6VAlsaq6Fjzz/hqhOY/Y4dNSIUSGSfKxsSsHV5KggEPbSEuz4L5bpuL1J+aHNKqSbNigThjUrz2jOzCHtZWOpBK9iM57SV0ji+S3ZkkWI+tc+8ZfLkJSJnX9UqLfcfCa1XCmamBPUbPuw6xeQZ7hsvGwlPqgKnRgT24x6+grUYWEKDn1H6BOuOIiQrrmoiNNGT9WqMva5YqKRj7A3k4nOBziZ6Wi90DHWhH4+sKixEJjsTaGyAPHKHLmWzE6JsqsKNm8i4fhzrumM/nVwLzYfZGgmgJDejV8WlXUS5PNGRXYktwnjUvW0Ze6FvNi4IV4/FEzQ5KTQdei6PSyng70fArD3TTfahqrWg2fKDxA39c1uhGf3wS1PVQeKatdYqtzTBx8KkRXsrwT5Xj0+R8wbf4bmHX5m5h/wwf48rtdcLmEB1iPvu1x+c0TWTMvOahXtfJslbI9RNPxpJnhyDLDZ7OyRlf0xoLHvkV5WMbvj8DB9yn8/K/YOQ7+79wIeKXp41Hjiqxep7tKqxH4hlK0Ohb/OOSbPI9bNizFnirhQcqWMr8aKkKrTBYzSAthEWQqoiWevTyIIa5BL46YxXSylSzDmIDpWX2xoSIvoIgjNyoaju20+LGiOBffH5ZAmx6cxg+12RNCgZTA2Yx2PbHslFhEGWMqSPHmjp2LUO4QFqQA3UT8Dqn0UJSRHBBtpdTxMpKXTksePTSdWR4mn0kr/Za6Qvy8tBCT23fBW5PnBIqHyT7Yswfr8oVj4W1qwOCLoDpQxoRoTxaNDg7iPVLSkLqfKnWD5UJl3p5buxnlTc14aNoE8Xg4fHjxRbh20WIUNzYGeMESD/2W4cNwaf9+DLgM6Z4dEzyzBV4jcnxb6UzbmpEqDWUL6Dp8Z/suvL9jD6PZSOMy67R4YtpkpgYkWb09emReMtpmg/g52vbe4jIsP3wMtVY7MuMtmDeoL56aPRmPL1sfoVVOlI30OAvumjIaq/adiKpEIslHbis6ixEvvIf2SfG4bvQQ9r23N+wMRmNFsE9AwKjV4K/nBZuSJSsUbNJQ1DS3ItCNySGG6FjKKdQit50A6w/7c3HHlFHITBAUaMx6HV64dAYe+GY1+y5FzO2ZgqNAFARSyXn5xvMxrFcHbDwU3UEK7N/H48ShCoCEOZR4u2LxjavYjr3+Iuw+eAYjBnXEX26ejK9/2I2GejubJ1eCCq5kVSCSLJ2Hz7fsx/BuQfGBZZuORIAe6rSbfMzHVHc88SpYOsXhhhkjmIOWYIxssOSwu7Fu5SGs+/EQGuusSEmLR4+MZORV18Efp8xFl/bImrSJRmBwxb5j+OvsCTBHkVCV26ptx1DhtDPFlKjGcdC4SCo19Lz7dBTlF5VNiEP9z6XISolHr+6ZOJlfCZeGuO/Bbci3J5AQBAcuXAXHT9F3Bo6F6AA5FFLBL60/dB3RduNTg8pDZN26pmPj5uPsd63ND0e6pvWIr5roSJyQdYoB7seM7g6zKfp8Esi/YPYgbNt2CoWF1UhJtmDa9L549tWV2H24iB2v2uqBxkYKdEG6DBXEhtSYGNWsGRVlFagDr9SkiynIsOuQqVmw+zaW0bdUPupyLlIUGXVILFyTHmsi+JdOgDdezzjs9D1prs1nrWjumcDOi1ajwpWXjsCGdblRKTh0ai+aMwTrfj6GpWsOori0ntX2UK+HDu2S8I8PNgj3uHj8tfVW/OvrbdixtwBvPH8ZDHot/nT3dHToko6vP/4ZZ2ubwes1bN0I1MkoHCsdg9+ihSsuMXBufWYdjDtPC0fncOPTd9fhiecuxx/B/Dyt/0p1N/87FJ1zAP8PYPM7DMdH+Zug1fkYkGcUh3gb4i0O1uSJjPj5LS1mTEwPAqJYtquyBDsVov0+lxZ6ixsep/xhxAEuNVOUgagRL6nJmHg9ZneK3WzoqQFzUWqvx7Gm8gAWCPxLQLGV+ylCc93LwdusgybeHQD5BAxJGej6biOCAD+GZcaZcahJuaGJZKTw429RQ0Uc+CjGHh0iMOPNonQnpWt5DlvOFGFS+cdYcP58DMzIYgD2s/0Hgs4EHXu9FnyiF9DyjNvOi44VBUWa4EWGxYwrew6Cr8WPj3/ZF75zxb8/2bkf8wb0Qfd0gbveLj4Oq2+4DqtPnsKqEydR5WiBTeVGo9+FJWW5+HlFASpdzYI+f4IG2iZ11GP1mpX11ckIsJFjEtNEwNs9S6CqvLd9D95Zv5MBTRLhYUo8RqFR16Orf2JA/7xegvpTZnxcsHAxilGGpF1CPFweL+5Z/CN+PiWT2lNxWLT/KGb374l3rrwQ72/ZjbzyavY9KtK9cGAv3DN1LFItZkzr2w2rD4fKWUrHKHQVDb5W1tCMl1b/jKm9u+GJCyfjvQ27AnUYNN5+7TPwzLxp6J4ZrCVon5qIfh0zcexsVeBBLAcUbXrEKJ1/kY9Ov244dhrXjA4Wv83s3wOpt5rw4aY9rFkVAR9zoh6XjRqAWyYNh0VUIaLIc0wTO6pSjNRQT4WgMpAfiKQC8UV+xvOXHPu9h8+iW6d0dJiUgzPHBA69ktGc7zwVujYdyS8PdBRlRav1Htb4KADcygH+tAsDZicrgvv6Wise+PPnKCsJZmbq64gKAegMKnjoOxTRDZMNJHNTUXhYBNrl9bEajJ7t0mJOldvjxRvfbGbgkdFUYgRgNHZ/REGmIy3yXqyoa2Y/ajUVRLfmBkZ/hwFfr3KTMAJ7BPp7980O+R7JM36yYCtTJaK+D1Q74TVH4W7zwrbZOxpSDuKhDTtGRlHTquBVc/j5YAEu/8u/cOnsoZg3a1BE3YRE15kypQ/7key1v12KFUv34dMXfoSbotJiYIMcQrVJCyeTyycKmlAvwKnUDNTrmr0BZ5oN0SkoKrnjtTE17aOa0PpXOZMn+ww14dLVC7VOQjbOD7XNCz5Oh9nj+yInKxmPPHgBnn9ppdCDRt7pmAOGDOqI/SdLseubwsBx2uwufLdyX9TWB/SZ4/kV+GbJHtx41Vj2vakXDsKU2QPR0uRAfb0Vh3edxskT5dh4rAQOt5c1/qKgETNyeMjhoLXUKNZaqDjw8Ub4UizQ1AkZyUN7gn19ztlvb+cA/u/I6CY80VKMtRW7UOmsQ4LWgknpQ3Bph5FYU34Yxf4GOOxaZKQ2waAP1cknDfjkpBYkJLS0aV8rCo9DzVE6KmzB9arhcWgUZCCJqkN6cmoZ4OYwv0//EGnIZreTAZYEnSFQzBinNeCLsbfgujVf46i9iDkKvEcFT7OeRd84izdWPRj8MgWZwFgoFetUQ20SNOXndOiH+/pNQrzOCKNaC4dPjL7KQ6HS76RIYqDC2MjjR3gkn+oQ2mDUitxP2/JwULVo2N/0UGmGBxd/vhB9stLw7NSpaHCGtfsmsm2dFrzOL3TJFTns0hxXNzvwz307cGmXtjlukrPz/aE8PDpjYuA14rrP69sHHq0PD/2yVlA+ovFq/ahuag4U+zo7eMEVc9A0q9hn2ANGlMy8+/yxKHE0Y9GBo4qRfmqcQw9slqpWAheEb0TmU5nbikNFFfhwyQ5Q42Jpa2oHoG0GXEmA3wC8unkrU4WhsaRZzBjfrROrNYimgkORcupI+8Lan/FLflEAMMr/XXX0JLIS4vH9n69GWUMTGh1OdExODABcsuvHD8Gaw6SEErza2TNbevCH0UzINhw/jam9u2DzY7fgQFE5rE4XOqQkhgB7uRE/+7a3lwRwMdEphAZEQiFzrCuPNZdSztAHqG02MSUvt6Gd2+Ojm9ozzX9q+EVgOBxIDeichZR4E9OBDztU4W8RxNBxU1SWuvN6zAQ2BbREcpcaK4G5sDHzPJauPYSu43NarYMMv77ktSH6Ojd0Td4QQMrMy+Oxe7/G39+/Hr37hSobvfbsMpSXNYRSjsXfiUttqHXDkWUIbo0Tuw+bCIAqn4m3Pt6ErMQ4TBvXCyMGd1ZU2NlxpAjNNgHlsrsomrQjiwaHvkaRe2Esyvv3SYzNXynVSMbLALg4spD3JZC6ZusxDOsTrC9JSDDh4QfPxwsv/8jOkbnCK9CrSGY0LHpDTiDbvrhpr1kozKYCX9YqQ0P0oNBrr7yqCW9+sgk79xfi1ccvVgT54UbdWb/7x0/wOoLXu5Tt8Tup0ziHxkHJrNkUOTSGRh+7fkKOVfrdB6ZT70zWCD0Wpeg8RdzDLloWJQ+b+7acCSpU9SQC2kZnMKPq9KH3kCzcc9Uk9pkpk3ojPS0O3y7ew5pdEcjPykzAxRcNhc3rxScLxVokuV695FxE26+fx9LVB3H95aMDRbz0jC4rqMKLf16A2opGqDUq1gtAl2BEcs9MVHhc0FfboGlyBx+jKg7uFAPc6XRzAL70+ADAJ2ftj2I+qNiP0uv/K3YO4P9OjMDWW6cWYW3l7gDwJoi4peYgesV1xNvDrsMH+RuxjjsUAe7JpL831+7DFS3j0SMutnSfBMSVzOuitpKxvh3c+d1DRjNg+/7xTVhashuNbjs8XjUSuHTc2GsUru0xhD2ctSoN/tRzDG5fGSb/RXQbC/E6o1JU4XcpXaYce93vVuPiHgPw0vBZgXcu7TYAX58SCpOZhXGiSYe+R2IqdtbGLoYN/2os81N3XS8HdaOW/St/YNLvxypqcPeKVYrcCxZdok6urN9A8DX5IL4vyEO8TgcXFZa18hQh8Ev68E0uJ34uL2RdYLsmpCBRa2DgnhXlMT6ISPSWJ1FI/7yzByo7yeipcVGHvuj5/7H3FXBylNn2p13GPZNkJu7uLkRJAsQI7iy72OIsu7DoIgvLIovD4hIgJCEe4kLck4lnZjKWceuZdqn/796q6q7Wmd3/e2/hvVx+Taa7q6u++srOd79zz8nKwOVDe7EjbbPThbwLlcgrrwzqHwLgiUYj7p0xEv/csA81TdaAQY68EFGPnKLZUqGlHne8vch/nil3iX5noMxwBlDaaMHxikr0yxalE/8wZRyuKi5jcBrp/P3jtAlwuDxYfCjYCVMZ9OkXuw+hBlYsO3cKdo8HiQYDru3TH3cMGoo0kxm92mbijRsuw8NfroKX+LOCBPZicGeoD77efQRzBvXBiC7hDp6hMaxbDp6+eRqeW7sRjRo3g3ZDrZg9ZZ3tKDx8kXct8aqVDDcmi0s0BJ8PndKjuxkTZYdeYn8L/kzg0t3H8fH6vahpkupYFBlOf1voOCroTQRMDZbQLRAfXvQ4UIbd4UZOXEIYPSrM+6Bj26DPRvTvgH3HiwC3LwjcB29RBDGffbAFL791g//z0qJaHNhTELUvmA/d6IEjU5RApCyuM1XVgkkUcORwCfLUKqZK9O3ZlgEpFTb+nHce1Y3NSIo3wSpllP0/DaGLyP+mJplhq2z0dzYXfxpaABrKFfyLQRMSgZm46CtYt+s0HrhhIhLiArMiky/pjZMl1fhu0R5onAISij1wUXEvOe5StpxuLS5BHLCEUIM8Zg1z/6lAWulwHBp7D5/Hvc98hzeevBKnz1Zi8eqDOHWuguspxo/shtnTByArQ3Qj/+mH/aiviVyYyhK+LgGmagds2WaxfohccaPstQza1WSCpCwipkEeceldouGWf9BPgyzeBvl7SK7qpJPfgiINKfR4PXrW46elqJjXUO/1KztR9O3THs/3ac+Ft/Si2Qv6d/5v3o9cMtIKah8VMTdYbH7Z2OKzFfjT1W/DTQW3XBMnPjN1dTY0HSiCKd7MvgJBh9EnQF9th9rlhaNtXMDYTqvBgAmxZ/Mvxv9sXAT4v5D4vngjg3sKGZjKU9tnmkrwQf4S/GXAHSi2F6LYJtIKIgUNDlaW7cZDPa+Mub2chGS+LuUZuLBgp/PYU7wzO/eAQa/C/G0vod5Tzzc7qYaQFOXx2olq7K8qxT/GzeYH+uTOXdAtLQ0FdXWBDKxHDV+dAepUqeAnkEATgYxVK9JWooVPhe9O5eH63gPRP0MEgfcPHIPNZfnsB6DM9NKAifr0LyOmoW1iHD4+24JdvFcFHc0ykPMuZ1RVkXnpxKohMx9y8w0B94H+UqHC0sxyijZ5dkFeBz0RJb3waL+l7Vji3DC4NC3exCnZWYgaDFv0Flw0rcpkUSBBa2LqkKYZLPOp8mkg6AR4k7zwxgcPHHxmAS6zF217J+LW/kP9n8cb9Pjq5quw+HAeFh44irJGC5JNRqYEXTd0ANNbLu/dC6+v245Fe/P8oJO5qV6yPSfgIgJ9lyv4wRHYX/FnumbAlQI0OAIgiWhHC2+9Gn9Zsxn7i8v8n7dNSsBDk8bi8n49sfJYOLUmNJweDxYdOi7OIKkAi8+Jfx7ajxVnTmHJldchUWfAii3HgTove8JQkElUrI4nwEpGWq2NoxUVeGrHJtiN4gCXt0G69DUiB5roLUqALfeN10jZUOkDwir+TK5UREk1JmYTJvbszItYHS6sP3IWF+oakWQ2YdrAbqirt+LrVfuxdf85ppF0bJeGlHYJ2HGuOHgXFWiG/kkwGTCmXy427WuZBhdtdHyosCx2obQg4Ibxg4M+u2x8H3yydDfcDaI8arQggH9ofyHq65qRkiqCmONHgwt2IwVTJRxeeOJFaUTi9zMfOUrWwVgnAj2mTxD94VgpZt/yNiykYKOg8/BARp7VChkwKf+tbrDxvZQAM69XPulihVTYyfePfzGLL5DCjnTz58Gkoh+UQVScovJ69O0quszKkZWdCHeqFi6/EpGKazkUFiTRQ+6IWO0DcOxEGW568DOUlzUE0UW+WlyH75fvx9+fXoABfdpj84pDLRalJll8sGWTpj8NLoJdcYO2q6ZrkAywlG2VQkNCCiSPLB17vWjYprH7gsdb1CducVmlbKh/fWw0ooInXg9Ns9RhajWOHy/FshWHsGB+sOoTZdvljDvx6WvrY18DLYWy6HzROxvYg0BJA/L3BamihYB7/27Q/bnRBXeKEeomSQSkSybmXxF4VvzSw3eRg38x/rvC5rFjbcUO/FS+EzXOBtiiIm3CRz7sqTuOUlsVKhx1MddLg4OSKAMAl9eNrdWHcdJSBI/eE5XmwKESoDO44KZsfoTpWwKRDlMVbt/9Burc9bK0c1CkJlmxqfIIPjmdiRu7DYNBo8OX8+bjN8t+RF5VlZ/a47FpYYQBI3pm4WxzJYNwg6BHYVUzfDEpMiJypYzfwpNH/QA/zWjG0pk34u+Ht2PJuTw4JQOvPmlZeGDAGEzO6coAIzcuFWW2+oj9QFvtaWiHXv1yUNrUgH1HSkTXVUVfyO+d6URYhWiOFbO1ApIMRthtVDarCPpZawp7SD5PR4MNekhEf6Y7k9042VQNtU0DDdmVSttu1pDcXrBOveChjJYOXpMPrrYk3xFYD/XRz6XncV//YOMuo06L64cN5FekSDYbkZuRAhilLC1Nx0sSjHL30fR9rIGKCLjEv3OSxEydHD2zMvD1LVehqK4BpfWN7GDbt22Wv8Dc7W2dPrRA15y0vyTv6fMKqBCa8eTWDYgvUmPbUTHr6z89ZF5tjENlkB6eNID4+VwRFwYTHWhUp5wgmgm18c4fl7FLsx/sUlepABdN3zcLoEerrM7BX5MTbZzSJEz6XGoTFWLTRBJRRV66cjqbYC3dnYe/LtnMsxpEd6CBz2vfbYHe4hNpWtKDvaC8Fg676JwZdjVIG5o/qi8eu/IS1FlssQE+zQiwwkiEr1TA2Qay0g3/Tq6VuPWSobikjzg4kYOy4a8/Og/3Pvpl8KxQlLA02v0A/1/BvvJlSFKl7kSx6JDaxVRB7iuqOxCgbw7UA1BGmPjyzUSpCbmX8LGV6yLkGZeQPuK1EgMyTg2NUzJpivE88AcN6GjQHG0wIOmuh3W2zydKoLK6jeK6lJVgQiYJ5XNaGb06t5HOu39j+kDui1jfS82/UCYKA8jgnvMFGgFWeHHXc99i7OAuaKhrGfCmmYx49dkbsTvvPBa+uhEeV+R7hMdEmp7RB3Y8mKbaB614bSrBvfJfpt04ffAaFdKooc8ZUjAitR8tmYOR4ADw4/KDYQBfGbH08fkeEOO0YTOvnm2REC/Oxvh8PmxZdiDglBu6Op1WIihGPsb0nY5qCSoa4OrWBrf/aQ769Aieefslhw9qfkX6/H9LXMzg/wei0dWEx46+gQv2ar5I6LlBRlaxgsDYgfpTMGuMcPnCJfaUWeo4bXiRWV5jAZ469jGaPDbO8lOkJptR1yCqbASHAJ3Oi+ysOjTWxcPSGMeOpXJodF4kpDXjeHMtjLpwupB/LQI9mG145fBGfFGyEj3NXfD0wCux7Lrrsae0FJsKC7jwtE9mJi7r3gMmXYBUfLDyAuYt+zpGjwjQm9xw2fQM0I/WlOP+7ctxtr4GBpUOU3O64qlhk/HnoZNQbrXArNOzAZi/n1QqvDPqKty47XORriQhBjnLPzarC94ZdQ3z+2vsVoyseg/aauJwKlpAU/npHjH7TeGLoQEvHUPa7qQuXVgH309TkIBjtBkCf/jADrHi55Gf3+SyS4Wqakvwpc0t84hSjGySIx1PeZtquwq6Wg3cGcEPPnJ13ZpfiAldOuFfiSA+spJGEv2j8BCAwe3aomNqZKoJ8ebpBYmSUmd3wKzToXd2Vovt437VhPQ4qYd4BGw6mY/Es+E3eQJF0VQm+Hu1CtP7dMM3+47g9Y070OQMzDxQ/cAzsyZjfNeO2HuiCNvOFqK20sozPwzUqGDRSoW2UosYRAhidpUAYgyFXJpdkuUQR3bJxb2TRyFVY8C7i7bjo037/Jlo1sH3CdA2ksdEMH/XLdMRFAWmNCgjOpUMJPcVljLYIxWXWaN6Y/Wuk5Ez8ZTNtYdnSWlJV7zKL84VGiO65eLmCUMwukdkh87+3dtCm6QHqlpIE6uA1LSAc22/QS07ftLl0NROA59kAqZyC9DbVRiZ2w4du2agrKoBe3YXQG+RqCfypjxENRFgy6LiiRiZdMk9mL9lSkcww4b/VqngSlKzwywXuboFUco0lqGTV1qOKCQRCp2pvkAwawK2FXT8bYpicSU/j37KMqNiMSyp5Gg8Au6753OMGN4FV105HL17i0W3fTq3QffcDOSX1kSdLWP9hGhyr0xVij2ICf2ejpGyqJj6a/uhfMTZ7dDTICxKOyhrn9M1k9tLry1fH0BxUW3EdnmNBPBj07P41knyqrbYVB8+tux8qziGIf3h02vgiw/U/lwob2DAHQ3Ip6XEIbddCkouBNeT+Jun2H5o0AD1xgUj/e/dTg9n76OGquXnGc1A9LlrGq5dMBLDBnaMvq6L8R+JiwD/PxDvnvse5faaljXDFUGXmcfnxZQ2g7Gk9GexoDNCEDidlBVsG03b+uOR9+HySTw76bepyc3QaQTUN8bDJdFgKBuenuhDQpIFyYYE3Dh0GKZlDMOXpw/iu/O7GNxr9V5RY1ntDXum0XubQw+3W8tSZWajCz5ShYEXedYzmL3pb3iw+3xc32MQRuZE5ykPyMhCYjxg4UxZOFRQqQWYkx0sY+kVVDhuKcfJqioILvGmdKSwCm/s3IUnxk7Ezf2Dp/vl6JaYiZVT7sLCgv1YUXIMTW4nOsan4trOQzE6szMaXTakGuKQborDzcMG4+O8/VA5VAyoWCfaGEDYKrarFKSHePSbYvukRLx3xeVYd+4cFh45isL6eiQZjTjrrIHTG9Cz43ODi7z8uyzRgSjzF+Dxyn0uP6e9Zi/UzZFlPeUDRfzt0AJIvlk3auBOk2Q7xQ+hsqvx5E8bcM/4EYjXGzC+Q0ckGFp2LRzduQN8wrao31PmUJ5JiBS8bzrgz1PEorNoQQWyH+7ai+8O5TGg5gFUt87onpWO/OraiOCD+1EyiVIG95dXgK4xmGMuB80oUAY9koMr43CVGqnxJjy3OliDnqKm2YoH/rkMqTYdbA5xx2m46dUC9vTImTdZX5uWic4pAOb274W7x49EosnAdIY33t6IE2dFcziCuQQSHSlqKUMs72vIanifVH5g5jWLBbRU9EzfeczAGXcDvth7CDcNH4Q/3TiFqT3r9p3hgQ1x+AlAED0h0aGG0+ZhPjuBMLkviVrkSIm8I7RpAvbRwL0cthQ12Mcpyq2TPja1i0dCYkAJKLtdCkZP6IHd289EpiIQjSlbCx8Visqfack0Ckhul4A/zp6IE2crcGRNuEIIZ2l14cWi4TsImE062K0uBveKj4MaImjUsKeTZKaAftmZOFIT2U+DfysPGFxULCsBT5XA15bW5kVisYNnAtR6NZx6MiwUJSudqQZR+SasAWIjDI1e6G0BUWOn04MdO89i+8+n8dijl2Ha1L58vF+45zL89vlv0Wh1hPWrXATOyQRplkLeFJ0PWqMavuZg/feQrggaHPBYRgb3oWZh6SboLGFFIP7weX2YefVw//tBQzuhpCgKla6lrINKhZycNNx63Ri89MyPLSwszsQwH5+FCkKCrokEY9DnpPMfqVg7sHkVrps3An99a23EttMkIbmSk8QmDRJ4EC89ox+8cypGDgnMjOmNOiSlxaOR1KToA6MOgslA0wQ8y6NyRK51UbbfrNPitReuwa8xvAIJTYTvYaTPfq1xEeD/D0etswG7ao8EgftAziz6iUW32x6JHTAmPRmrL+yBw+sK05UXM7pqFDQ1YGImTcGLD50fy7bD7aOp3+Dl6aJPTLQiIcGKBdkz4PKYsLXiHEqtDdC6O2JK235Y0H4wK+Icd56GKd4dod2BsDt1qK5LhI/lB8Tl6i3xUKl8LA1MNx+9wY3nD69A+7hkTGgfPStM+vSapEYYBCOcVimNKAUNMOJS7QzyVTrygNdA1UzKP8Gg1uPx4dktm1HYWI/EJC0D6F7JWZiR25MLbSnSjfH4fe+J/KLYWH4KH57ehj8eXMLv0wxxuL7zCDw8ZCz34RcnD4kKEQRaZGcekg8lBRmTlxV0YsVV/fsxVWNG9+78kuON/Tvwxv5dwZz8oIMlZnWdGV4YqjVBIJ/BGdUBcFZOLAaL5SZLFA/ahtKBl78SiHNJduTSfjmoUFKFUo8Ff9q0npcxaDT47ZBhuH/E6JieCz2y0jGyUw72nS+NSIEihRzENgOFxwi8umE73rt6NtcuhAZJUV7z+bcoaWj0b4OA5OazBaJSkl7PajHK7fP5S11kjNY94gAuEk2YPjI0SLKJ2uDviW723OwpeG5tOLjn75tESUkbgkc1BIDiKohWRRlzVcTaC5q1IbGlaKnCGX17sFrP6XMVuPeJb8McLmnmxlztg12qh4gY0pQQk85U4LYqC0FJGcfbBLywegtyU5IwsVtnvPi7y3D7ZTVYt+80auuaUXawHIV55Vyox4wsjQq6FCNye7fBntpyuKPJKUr7erSoPLhJgoAj58vxw65jOF5SCZNei/gEE5pzHEgodoXdMXkXNECfyV3D1n/DvZOw/cA5aJolCozijutK1KA5R6GgI/Urxcojp3DZ4J4Y1L4tdFoNc9KD2k33gFbw5WkQdMvlw5GXV4bdhwojZl95LRLthYyrFswZipvMerz0+QbUNCpoKDJti4+nSPWRf0/XJBk1caG2NED0OX3QOcWFiFpiT6e/I2eqaeaFwL2iC8TfSTSOV15dhQEDcpCVmYTc7BR89cKN+G7dIazcfhxNVgfizAbU2ux+0y0fyf/S7VE2TVUBHXPS8PI9l+PhZ39AeVVjWBv8XaPoI1qfnDnnUNCIPEl61rXXNQSUXvx9qgLGXdofwyf29H82bWY/LFsckBxWDiJogKoc7IYGge+BA3IxZXwvvGFazd4K0UJm+kQci/KHwXdpqjOYMK6HX30uWsyc1BdFJbVY+OM+f22CPHGTmZ6IN567GmXl9di66wwcDjc65qRj5tS+/sLaQN+oMPOGMfj2rXXwJcYRFyswC0T9rBcguKPXK/DgqrmFm/jF+I/GRYD/PxznmkUutzKYv84PV34X9hs11MgxZ6JPYie+KF8bdBeeOPoJal0Bt0laB4087W4d3ju7AbXOZjzW53L+bkvVIebxx4rPzh1Etc3jp6jUOK147dgWfHF2Hz4cdxXONVVELFKR70UutwaVNUnKvfL/RfSeuvp4pKWK1KL4eAfePrIrJsCnWQZad1yKA6YkJzwODa9Ho/dCS1r8kp+Ix6eGinTqI2bOxfefHzoETZoHaqqBFXx45sA6vDVmDsZlB/N8Pz+3Cy/n/RSk5V7rtOKtk5uxu7oAH466AXf2H4EVhaewu6wEmwsKRFlLesCbPRDMXsCuYV57JIDdNysTMyVN99D4/eBRWHf+HI7XVAVl0MN2h4rAEn3QNwQoXfwQl99GT4oFrUeIxteUzyeaqWAn4+CvnV4v3tq7G40OB3olZuBQSTmfkyM75uDS3t1YjlOO1+bPxK1fLsbpyhp/FlfmWV8+qBf6JmXg7z9uC56NkP4lWgnJFO4tKsVzazbhr7OnhzX19S0/B4F7Oeg9r1MH3DRoMH48cgINNjubEjX6nBJlJXr3aExqeGujTPeTYkydSF2RC11F3rIPry7ZCivbkIb8iFQn6sXsvytebBcNInRWketNO61vAhzkARAmuychhCjj//bJiSwdSvHWJ5sZ3IdmU+X+Ndb6pAx6+IpIaYRVW5jWEfid8l8CaQT8P9yxjwE+RZd26bglNRH33PGJmBVVgjKvAFeNHZ3M8djhbJmUJdcoXKi34NPtB/DDzqPwSsDUvy+0/iw9mwvFl7mgcQc26EpQo6mDETfNCmRrKc6W1+ClZZtR29cEQ7UHxmo3q55QEaQ9UwdnKs02qsRMcwhTkmY0v9l1BONu6YSJI7th4zaiJcmzOOK0GRsltaBxT+d8TlYKvl60N6ZDsszVJ5BJdQcj+3fEmP6dsPdEMQ6dLsUXK/YyYBYXDgb34kfSQFevhq2dEXHFdvH4qwFLRyPvL83iRFOw0TWLaaNYR2rV6iO47RbRSC89OR73XDWOXxQPv7McW4/mK7gipCgjSXpKcaGpiQcHbz67AL/5w1ewNDnCQDBl/8lokPeV6hOIyy5lwqUDwzMS4mBcBVunRBgqbDBW2f31C8lp8Zh7y1jMv3081Ir6lx492qJzjywUnqsS63AUoXb44DVHp8vStTVrcj/+u3evtjh0qCjirBCvS62CzqSDw+uNTGVTfCTWsKlw9YIRUbcdWFaFu2+ZiElje2LZ2sMoKK5BnEmPS8b2xNTxvdjIql12MoYPjvx8tdmcWL3iMFavOoK62iZ42qTQg1SajA7Mkgg6LVTu8IG03HSBXIXTTCgrq0O7dmSG8esK38Ui24vxXx0y/z00tCoBHkGpuq1i8yq70wi9Sof5XWb5l+2RmIMJ6SPxddEWqFWUkSLQRNKagYfo98W7MT93OLomZMERotoSGvVWMxolu2zlrAD9TQD30T3LIz6/CFzrSbCbqBIW2WI8cprR6dLD5dbCoPdAq/Vib1kpLC5nkMurMtqaUpCgNaLJ42AzL705HLnyTAHts6Q5Hyt8dhV8cWJbm9wO3L71e/w4/Vb0ThH52qXWerySty6sDyjomOyrOY/vzu/HjV1G4nf9hqOkxgKdoIWHRhZUCGzRQUUqC0SRoWJbd6BN9P9ZvbrjL9OmsKFSNHCzZM71uGHV99hXHVCHidCVnGEXGsUMPD+8Fc3V+DTwtjCYk9sUGjxz4FZBW6UVedIxeN9fHDkMbZMKWkI6KmDJkeN4ZeM2fHztPPRsI5r/pMaZseiO67DuxFmsOHYS9TYHclOTsWBwXwzv0J4fVG1S4/HIl6tFfXwJiBA9hDPskgb/smMn8fDkscxjl4PkOpceOxm1UJw+bXQ60S8nC49NH8/Ahwq753wVq65DjCvH9MdPS4/D6fJEJdERsFJSLajHG21O0Xwo2PyTaS72TKnQmH8sSkhS1t6VIOrIs5MoZTmjaNv7jTkVoyFqg7XAhoNnStE2OQFHTpT6952y5eQeSqGzEe9a1PEOLaD0t9EFeNwCTURFvZb4lHACh/IvwOZy+2dVvvjqZxSfj8xppli/9hiMvYywE7cmykJ0nEd374BzlbW48f3v2LgnkiKL3AWODB0c6VrmiROgI7BOBY23TB6KXjniNV3fbMdjX6zGHtk0S6WCI0sHRyZlKiOsl/o/5PKk8+vQ6RI88cxi1iOn/pHnJ4n3Ti+SfKTMN8k/RgP5iWYDxvXvhKftsesH5Cx+UoIJQ3q1R35JDWrrm5GZEo+75o1Br9ws/PndVVxPIUuQRtwiDagNGnjiNNBavajvaYYrScrax6jEpIFerDspgdlTpy5E/Z7cn1sQtOGC73eX70R+WQ36jOqAAwfPw1nvFH8n1wZQ+yW3Yjfp5/tHm8GzLDyTRgkVyia3McObZITK5cPdt0zAgvnDoaEC1gjxyGOX4cH7voTL6Q4C6FrizHOFrEg5C41ZU/qhd3dRUWju/KE4cED02ogWr792HfYeKMTa9XloarIjIyMBzRYnKqssXPTO1FuvDyajHk//eTY7BbcUdC/buTcfS5YfYOlQmlkaO7Ib+vVoy+A+VtTXW/Hg779EWWmdeAn4qKZElMkNC6prMOuYqsOOxMo2GLXwpJihUqtwz92f4933bkHbttFleX+JIZAUqt92PPjz/y1xMYP/Pxy9EjtDp9LCTWleRdD1peU8OxXDqVHZkASLTZYeAe7cuhJ9UvbhzbGz0TkhFUtL98MtOnFEHUgsLz2Ah3rNRMe4NjhlKQoDrhR0D7PYo/AVpAfcWUs1cpLj0ewNLe5VwenRQq/xwOYItDVyCLDb9QzwRQoPZYOpDyIDfL1GiwUdRuCz/G0R201bStKaYYkBSIJ3VDGjIL3eP7EL/xgzhz/7oehgTNlQuul/fnIPRiR2RfukpAj0FPqxxM8nm3eNj8HUq1NmYHzHjkHgNFoYtVqMy+2IgzUXWlA4Erchg2JlXD9gAL44cij6b6m/CEyGVDqKVB8yuNKJg8y4aNVxwVk2ryug+1dntePmr37AT/fcytKZFDSguaxfT35FCkO8noFuUJZaFQ7+dheWsASmHKWNjVygHSuINnOqqhoD2mezAVa/rCwu6D5VXR2xf2m/sxMT8OQll2BkQjs8/vFqcUYriOIjDTwiFNuynjyd0oxMFJ/rJFOqEO4wf6cRmIMfVxngKkcKjVUcINCzh5YjfjzNAHjgxQNvL8OLN4kzHCSa1NyW5E8D2U5niqg7HnfBy8eek6IhA3b6U28VRJAaIxiDOWWlIhFM/Lhkf4u/MVS4YU+MfK3TtUTuudMHdsd1733LtCrBr/QUElIhKJ+iBj1s0kVAyk1ETfvqp/1Yvj0PM4f3xM78YhRVi8pAYSsLoWCFDpT9n1Ox7WkbdnrOhS3PEonEmfZ6Yarzoqmt1LCgoiTx7eM3TYVBr0ObjESUV0fni/NloAJmjumF2/78Dc4VBzj4XXMzcNmkvjx7JBAQ55nCGCEI8MRp4dWr4EoOPOpZgjXaOCMCNS3oaxXxxKPDhq7t07H/dEl0mVoVKUj68MnavQygKcvto3qqNgZ461z+sYdep8GcS/sjv7gG+06XRFe18U9hii6yIr9MiyP5FbhGAvdn8iuxaPl+7NpfwHSW3j2yseCKIXjnvVvwycdbsWvnWbF+RK3C6NHdcNU1I7Bicx7WbT0pFqaTPGy8EdfMHoob5gUy7CNHdsWCBcOxaNFecT+kfSbuOynUPPLoTHTpkoXqJhtmmLUM4scP64L0lHgcPlKMXXvymStPoJ6MrUwmPZxON9ZuyMPSHw+gqrwRBoMWQwZ3xN13T0ZqSjzfY/7xwUYsWXEwaJur1x3Fmg3H8Jcn5mD08HCKmhx/f2VVsOEb7Xf0wy2q+xi18JLLs1yjY9SSsyb/LUgzAh//cyuefEp8ll6MX05cBPj/wxGnNWFG9lisuLA1IlVHKwBNTTloZle+4O9PNVThqnVfYtmlt6DRLbtM+qBV+eDyaOGS5kG1ah8EjRcV9gZ+f0W7sThhiZxpIFMqWSFHrfZBr6MMu2TmIQA6jRd6rZcSu/w495B2uoK77RXUcLhb4DwopsS4CNemh06jQrxCNSdS3NF1Io7WF2N/XWHQc4cGL0aNDv8Yci2uX/sD7BGcGMMiJGtFFKA1JaSX7uPs+TlLVVRQ7WvUwVtrQJHLh1l5XzIQH96hnXjzj7JZAi3dM9Mxr0/vFjmVyojX6VvMgImNCuYdk1HTA+NGY0q3Tvg872BEHr4s66lW0Cb9xaQEWmVGTstsCunHwZO3tB6i7iw5fBy3jRrSqv2l/ue2SfSjUJUJOajAXBkmra5V6/7o0H68fVT0lxic3RbXDuiPV7Zth9UlcvNZvYY8nXyAwazHP6+fw30yfVgPJMcb8cHK3Th8TsxYUsbNpaaiyuj9o1JQLPz9Egrug36g4noEkj8NzR6LHSOpobgAfTOp7IR+LfBMw74zpUzTam6vCWxbsU1qA32XUEKE6EDtBg8YuDhPOXsYOzSCCgmSSVZJTQPcze6YpwsfWqfA1B+iXfk/lDZHGcgPfjsPZypq+MX7G6sp0vnZITsFI7t3wE+7TqGqvsl/3VDR58Jth8Xi5Gi/D5kN4X8ijG3MVd6oxeD0c5/bh0cenoH33tkIoczFswpUO+IfwNGMlBb4dscR9OuSjXnTBuLdb7ZH1W2nX00b0xPfrz4Ytkx+STXe+GwzGzBRjiS27pq0X+ROnaHgVkv3CzpXRG+P4PAYVNA6ooM+Ws3w4cHURmXMG9cP36w/GPm38g7K/gGKf4n6165zKu67fAzLuw7o0Y7Nta57/IuWVW3UUv2QZNJE/cYzQOQuvfUknn9tFWjiXJbaPHCkCPsOnce184bjueev5Mx6Q4MNyclmJCSIxdl9++bg7psnMv2Fzs/uXTKD9ON5V1Qq/O6uSeg/IBdLFu/DyZMXoNaoWHFo/pXD0OzxYO7dH6K2wSpeX4KA1z/dhMsn9cVDt03GoIHBBeVNzQ7c+8hXKDpbzVl1CkezE5vWH8eWDSfw4MOXwphgZHCv7DsKGlARzffpF5dh0ed3ITlJnlEPREV5A3bvbNncMayLma6jgWCMfM+lft2+/RSamx2IlyQ4fw3hJeZDhDM9svL/rzMuAvz/QNzS6QpUOGqwty6P+fWUt5f/TdN0xLGmYPdDOQiQNLoc+PLMQZg0erh8dsat9ba4oCeW26vh7K6sgDUxcxB+rj6KHTVHgx7hlEl3uMVTQKf1skNuMA1PgFfQ8HoI5BONUafywusVlWu4cBYazpTG6XSwumNTgbQaUt1RobnZCK3ehSXFh7iANVqQbv47w2/GstKD+L5oD0qsdTBr9ZjZdgCu7TSKaTw39BiEf+47wBm/6NQCFQxJdri9Wng8GnH/1KQz7uXCWQL4Jq2e+bZhfO5aPXzVdNMPfO7weLCjoBhGjRZuA60lUjYYuHPIcD+454LB+jLkW2p4H8ZmdUaCLvxmOK1DN/xl9+bonUjPacrckdiNSgWDVoOnZk3CrN49mP++sSBfnLbmAsAQmU3m5oqk1vaaRGgENQw6DU5b6oI5+TE438ErC1+Auu+nU2dbDfA3nSsUAbNCLYiNsUKyk/3aih4HclChZ+e0FBTW1keFpfS5U2GleriiHIfKL+CPY8Yjv6oOq7aegJpUYqTaPaHZg5v+9i2eWDAZc0b2wYheHfhV32Rjs6itJwvx8o9b8C9HSwM8QRBdckOLNaUdo4w5AfxQcK8cWB0rqUBch3g00g5FyXbSbIEzUQVDs9S38iBRD+R2zkBFYxPcEjCKuiusSiLgeHEV+nVsg+KaBjEj3IIiElFZaBnWbSe8KfsPeIhSb0KPthn4bs+RmNsOXqnAhbenCqsiZrLZoy/WORwhgx82IPAJMNXGKDKUCiMLi2rx3ff3Yt36Y3h7y15UO6WTindQ/PX+s6W4+q9f4fs/3oCNu07jzPmqiBSQa2cNwdYD50TFm/BdlmZQBB4U8jUrmSZFDclZVWcV1XV4gKUm+pas5a/gtUt1DFoH3TjC10tLJSQYMHVyn/DNCAIOHC/B0o1HkG40odohcf+VC8VoJgHU4uoG6E06jO0X4I7XW0LkvkJDqoanmRa5HoHqfDrlpqOy2oIXXl8lJjAU+QG53xcu2YuBfdpj1LAufmCvjKREEwb1je1ITff30WO68UsZJ85V4OHnv/fPZMjbpKO6fNMxON1ePHXPDP/yew4V4vk3V6O+yQ6Q0RZJqTp87LEgJtsEvPbqGrTrkRmUuVcG7abb48Pq9cdw3ZXhz1UagIQFD+xj3+rZ5Zoy+DGCQH5tbfOvCuD/X4iLAP8/EDq1Dk/0vgNHGs5gQ+VuVDvqkGpIwqTMEVh4qgAa1Ymo2WT6/IeCY5jbsx/WXNiFmmZZxz64JI5uJBsvFKLZ7US8zoA/976J1XSWlG5Dua0B9TYTnG498/xJ5SYU3CvXRVl7DWe6xWp94tBbGuLhcImnDwHdLokpOF5XHdOh0qB3o7pKbC9p2H9TsJcBvs3tQklTI2flcxOTgjLeOrUWV+YO51ekeGjgOOwsK8bxIlF2NBzkC1AbvbDLNCRSjyH6DLnTApiz4WPc0m04Jmf3wKrSY8G/dKvgq5ZvWMHr5eyvFzAJOljJYUh6mMmDhLuHDMfs7iKlJK/+Ah7bvwznmgLT7Qa1Frd2G4n7ek8MqsvISUjC/G59sOTsiYjUJGqGvlnD+9k+JQlvLbiMjZ/kqLXbxAyyQRCzOl45PR4w1vEaBealT+/aHY+uWouzJ0SzLwYQckZTyurHmhmJltkkHm5r4o1tO/HtsWPh1AmqmdaL2vBUVzcktx26ZqQFd4NKhXvHjsJDy1ZHXDfTZXzktiga0pBjrYdoRxrg77t34BJNLrQOsaBcSc9webx4euE6pCWYMa6PCDRSEsz8mqzrileWbY3pmpmRGIdH5k/Aqxu340JjE2daowHz4B2S+HI80hDBFR02AsJ6uzRZEiMsXheqkz1wE7Kl1bA+ejjdmuQRDZJJE29SI2rgn6uo9V+70R74DNQp+6sHHli4Ag/OGMcmZI40LcwV0SX16HNXsphvZnpRyBhCVqYhWl5QX3CmPvr5p6FMM3dVpAFNK2eh5H2jTQfEv/wDAKXmfaSgJEdVtYXpFQkdklDtcviLb0Oj3urAK0u34u2nr8JH3+1goGeXJFOzMxJx45wRaJuViG/WHGiRo881GdFLGvzXrztJy4MoArjkgc20LrOoj0++CzRVQoMvXpdX1Ocn2U8tU++CdfVpADpgRg+YzcFUKwKbf/1oHVZsyfMX0et8PuiaPNCSDj+xZtrEodrkCx/EKoJ++7dvN+OJD1bxOmnGIz7OgIYmm1jYHHlHRS8AT2DWgYv4p/XH8p9IrS56EFBetPwAA/z/6vj4h518PUW6V9BHa7edwM1zR6BD21Ss3HAMf33vp+BBFfWjSc3HRmcRry26jRSVxja6pO0dj1IjQf0bFlJ2nrJ40a55fnzEMtiSItIg6ZccPmZ2he91Cybov6q4CPD/Q0ESloNSevJLGe8482Lzr9koy47uialYVGCM8ThW8bQn6buTrrtGrcHsduNQbrPja8t2GPQ+GPQOvqc4PdLDN+q9V5wV0PCTQrwPEZVHBvgOrwcnGyugVonAM7j9Yvs0ah9qqhOgM3phMpErD3C+qQ5Pbt+ARafyeB0UnZJScP+QUZjTvXer+tGo1WHJZTfi1X3b8NmBQ/Dw1GZg+2qTBx7Z+VNNmtDeoH09Z6nBnw+sxqTsrugUn4ZiK4FdSaWnMYarkZQ5Nfi0ePSSsViTfxbNLid6Z2Ti+r4D0D9LzDifs1Tjhm2fwyl5EMhB798//TNr7z81MJDJoXhx7DR4fAJ+zD/BAwbK1Ht8Pp4pmZbVDQN6tkG/tlkY2Sk3rBYgOyFBlL+kYjFJWk7XTIWAAdMSGgjtOFOMKZ1FR99QUOQ1EMVL5oRHpj+RnGaozKb8EOmT3XKhGBXJvrtnb2C7ypDAFWWGk7UGvDL70ojruKxPD1RbrXh5o6i3L3eF1yMCGbUnQDuhM5P07V0pArw6L3aWFkVtG/XpBz/tZoB/sOQCvtl/BMfLK2HU6dA9Jx2nS2qigvy5I/piZr8euLRvd7y0cSs+PXAIKsJ8sTpDpWLnWrq8vAaRckADEmeaiOAEI6kaReaIU3gSgeNe6cFPl7IQAOIy/UhZ3CsHHT6WrpQdV+XFYtAr3PFiP1damvHYd2tw/eiBMHdLglBTKxY7RvidK04Nl5mOQOT1m+MNqLPaMKZ7Bz9ljHwa3PFRek1KZRNliTLRxEnns9vXilkoP2gV3xL3nwpzVx05hZPl1X4nW+4zOv9b4Q5K1A6KFXtOoKXYeOgcXrppBu6/+RL87pqxKKtsgFarQU6bFF7Xb59e2OI65P1Tu8Q6H39httIx1d/Z4VcvFV3T4JkhG4HjoMIjKs5Vc0aWFYqknadrsbGbAa4It8Qf1h1icM+rIyMtixvGajHpIW9baLYgRU3rMEdVqSEpztLqRr8KzoFTJWw8F3NwS5r6LhGcymORmxaMRNeOmXjro01RFW54n7w+HDtcjLt+9ymKi2pgMOgw8ZJeTK9p1z6gCkM8+R07z6CwsBoGow5jRnVDhw7pUddLcqEshRqj2XSfXL/jFOZNHYC/fShKEIc9gDlzTuaE6oBxXAtqTezHoVAMUka//jl+WU1lCHqSXabMT8C31k/Rp8GfzR61Vk6ODp3SEZ/Qsj/KLyl8UYpsI33WUpSVleGxxx7DmjVrYLfb0b17d3z88ccYMiT6TPbWrVvx0EMP4fjx42jbti3+8Ic/4M477wxaZvHixXjyySeRn5+PLl264IUXXsDcuXNb3a6LAP8XFCW2C/ComjmJF2sUmWVKQJmtEg5PLAccCgFbK84ywCdjrD8fWYgtVceDlhD5ty1O0oW1R6sNBqyUCSXjq45xaShtssApcaYJVOv0bmhJr14hg00Y2lFrwjdVR4IGBOcb6/HAptUotzbhjgHDYHE6EKfTB8kvhgYVcj4+8hI8Omw8nti1AivOH+cHky7ODavVAEgmXqHgXhmbys/h5m5DYVAX4pSlElqVGj5XyyxX4pzvrDmPP0+YgD5p4Q6qb53cygZjQYWadC91a+DzqPHp0cOoanTizr4j0TdNHBSQRv+bl8zCfYNGYWXBKaZl5SYkY27X3kgyxJ4CHd0+F5lxcQx86eGoa1JLyimBnaa/v993jCXihrRvi2UnTgXaRv9Jp5WY1QteP39PDxF+fkfgL/oEXDt0QIv9turUafHhGyvtqwYGtm+LtkkBB+LQuHX4YMzq3R1Ljp5Acb1oa79kZ57fcVi539R2Q70agiHY8DMi5aWoAi+s2Ywv9h/2ZyUp6EzS6Um5SXxI03nvV7cB8OHGPdh55jzuu2wsvjpyJFjpI9LGSDrUAWik9lJ2m6lFhC+kH7gTRCWeSEF8b0do9/hRlWhqRplaGRwoZ13YpZaXj3wQ/FiZBhx0GTG9I/i7r3cexm2jh+Cr+n1IyndCZw+mljS308KRTrqgki8ptYH6QvZ0UwHnnPWY+fbn+OKWBbhiUC8sP3RS5OyTKhUpASlBjXTQiCfuoAGQv63iMrRedoGlYmLp8tXYfTBXumFoJCdf0TDJnqHF1QuG4/eXj4VOo2Gp29MrqwMSlFK/kEGYsS46TYdA6TSJskL1CLFCnJgQsOPkeUzs14UVT7rkBmbfqPj22JnoCjWhKyPsrWvyMSdflJEU+4foKgKdozGOK9fbRODg+/fLqIHWSb4n4jLNuXruI5qhkqO2yoILxbX46tud/mOkdnjDwD1vUyruTzprQ33feNGvI2LjFLxycnS1iwovQW6wcvgEGJwCYKeEhAq5uWm4Yf4ITJ8oHo9oQFfeDrXVpfEh70I1QINEjxPLVh/CmjVH8PLfrkH//rnYf6AQz7+4HBaL3W8c9c+Pt2LM6G54/I+X88xNaDTbRGnJWEH7ZGmyY/XmvKgOvP5+MGr4HOa9l4zLog1cqPuGRnFuTkmNx+SpfbFhXV7w77kOiBQT6PoQK/1ppsWVqIUmyQDjtlr4tDp4idcfgbZFkV9Rj2vu+Ah/f24B06P+L0V9fT3GjBmDSy65hAF+ZmYmA/LkZNFlPVIUFhZi5syZuOOOO/DVV19hx44duPvuu5GRkYH58+fzMrt27cLVV1+Nv/zlLwzqly5diquuugo///wzRoxoWU6V4iLA/wVEk9uKN898jCONJ9HoNcInRM+AUobr2q4DUdDccraIQgaWu2vOhoF7OcQRe2tI14FQFtr6twUBF+z12DbvbqwoPoa/n1gvmlFFWK2rWQ8fyUuGSVKK8fKe7Xhrz27Y3R7OYs/o2h33DB2BnumBB6IySiyNqLA2oQEWGFNEXWWfV8VOt7yPmsjgXqAsr1ULuNT4tOYY7hwwHHcNvQQ/V5zDssJCWEVyf/R+gID1JWexsewcPplyJca1DfBHrR4X1l0g3ezAPlKb3FZFsZKgwsqzZ7Dy9FlkmuJxRdeeuKH3QHRMSkGX5FTcP3i0f1GHx41FZ/Kwt7yEgevItjmY2akHF/3KQQ+15yZOxl2rlkNL8qExnHUXHczD1cb+0OnV8Lh9YmJUKY0pgVPZDVH+TPxcxXUeAaqxmHm9Z9wI9A/hyyvD5nZzDUNhXeypZnlbotJS7MiMj8edo0UK146zRVi2Jdp5Lmb0SeO/RbkQAF/uOcygSakIQviP9OzjEw3ol5SBfQWlYefHidIq/PaLJSIlSAJTRNNROnrK/xLgNtaEZ8pJL18OAtbXTBmIbzcEDzbob3uCRDGKvMPiOglfE7BXqaBvCiBYXwsGTfJ6XcnBgwZlUBvO1zfg4WsvwevLtwEWj6ilTseOaDkEskJGUgwuieonF3u7BTQ5nLjzmx+x4u6bWI1pX2UBdM004BHgNokzGgRoSaaTMrzuxMjgjQtIJW4/Zad1zV4kFbqCirfJ9TWh1I0LW0sBUh/WAHOH98HnWw+grtnm718tS3BKhZuRJppUKowa0QW9erbl9wkmQ8y7qNwLVY2hamRi7DpcGOWX4evhQZeebA1Ju50GiYGROA1g6Ltowd9QFol5PpEWoKyPNFBTAU3tdXAnUscKmD2iDy4U1eL9v67C3u2n/b+P16vhaGNmSo5/G5G2yz4SbjgyQoCxfI4oBlhUN6CXdPlJKpNlZqWRub7BAwMNJuWBt1qFXm3SMWZoFz9li3TgDxwtiqyO5FHo3ct1UnTd6dTwuHx48olFePGvV+PxPy/yZ7xlsy8Kkkx95rml+OuLV4VRxFKTTKwC5JKL4KIIACTGG5FfVBP7ViTTvaRlDFDDGUN3n9R+pkyMPvv9+wemc7Ht0SMlfi4/n7NsriYNxsmZmpNzKvzt0blIehhYu3An9p28gCoHC0OLTZP+RxK1NMCqa7DigSe+wzcf/IYNz37p4WOJkkg45l/g9hFWefll5OTk4NNPP/V/1rGj6E0SLd5//33k5ubijTfe4Pe9evXC/v378eqrr/oBPn03depU/OlPf+L39C9l/enzhQtbN9P3v0fw81caXsGL50/8A4frz6CkMQnFliSoGYwqaCZqH+JMTiTGO9A2SYVzjvPYWFHMRbCxQYoKIzLEE21Z6V5oohxudaw5aA4BGv88vxgyPSc0KHNPtJObu49Al6Q0ppWEBhtU2VqYfSC1HUm/nzL8a/JPY8Hqf+KFw8uwsmw/mt0iOsirrsTVy77FuG8+woJl32JdXhUsFfFwszGWoicizPMKNg2ESiPQTACfbGLVeH/vAdy3+Ccs33weVrJSjzEdytlsg4+LbIlCc++W5Qxe5bC47MGZeyqCsvnn08VKQDLpYt60ClU2Kz45dhCTv/sEP54NHsAdqrqAUd98gEe3rsHSsyew+GweHtqyGmO//QB5NZVBy07r0g0fXj4HOldsfwBq/8IDR+GiwmlyLSQll0jnAhfzESVApPrQHf66of2DePF9szPx5vxZuG9iYECijD2lJbhp8Q/o9/ZbGPr+e/gy7yh8Gu7BqO2jr8weLe56ZwmueulLPPDBMmw9lu9X3om4HdI8j3FayVSOWDx6Xo72WXr+y1eZf9paEGBxO3G4KHK2lb73KPtRktVkeUPJuoHVVXSAoTbA0Zdddm00PpIynNSOuf1749GrLsE7D8zDkB45MBl0iDcbMHlwN1E6M+aeUCZbXELXJDBA/rcjwoYIDJ+4UIkbJgzGqzdcBpVWA1eKDs5EGtVI136oPChnZFUM9GmlJsI4Vh/XLJAc6kPjR0HnIOEBsXjX2CjAXCvAVEfUKwEec4zpF/pKOm5at4DkInEUGlrmQXHkUDEWfScqLCWajPj0rgXISUuGyiMg+YwTqSedMLGKjlcsZlUEgaNLp/XD00/M9gO8aUN6tAwNVEBaQmTJXKpFaI3iVt8ebaEmKUYTAatgdVkZdLUmIuRogr6zttOhro9RNAKjeqURfRDnUeH+a9/D/h1ng84HogvFFTez5n5LmydOeVBvSscyaEaBePzNgcGC3uqDod4LXYMHpgoX+x8oM98EVLdsOYmHHvwGdslrYOaUvpxhD6Ux0rXv00U5NyWTsEanC/94e70IgCM5cfsE7NtfiPVbwxNtJIc6fVyvyJx3uQ0+4JNFu7Fxx6kW70X+6moVMOvS/rjvd5P5Y+X6qek0qBg9tAtWrj6M6ihSrNQff3vtejz7/HyMGNkVXbtlYeDgDsgd0lZUW5LW2a97W7z7xFUY2b8Teg3thAf/fj2+Wf0oplwxEIJRw31Es0Yes8ZfgEt90tBow0+bIydYfmnhFVRRXxQWiyXo5XRGvnkuX74cQ4cOxYIFCzh7P2jQIHz00Ucxt03Z+WnTpgV9Nn36dAb5bkmsJNoyO3fubPU+Xszg/4djf91R5DcXo7AhFTa3jm/wOr0XHjdxiVWIN7tgNklTnkSthhu7ahugo0we1cZ4dOL1T4om9CCj4lFxPh46tQbzOgzk35ba6qIaIBHAF0/qiKRV/r9OI0uQ0YWsgsMRnZ++tHQ3+qW0w7sjrsXduxei0EqcZcUCbLPeirGl1BRTkh0JGSLPYEXFbqyoBF5RL8MV2SPx4c7TcCsyKxRelxrWqjiY00mBIXJOTXCpINT7OQpB/7qtXkmWUQSzkQr2ZGDqjQ9k+IhKs6boNOZ2EaeIk/VmpvqQey7vtlvSJ2QUQqnZcMtaeUDw0OY16JGagV5pGai0NuOG1Ytgp5OCfqbgEdQ57Lhu1XfYdNXtSDfFsXTnpgNnsXTr0Zj8U8UGAw9bVknSwKWww6WHrrZJDTXLkgT23WP3Yukd1/PAhkCzMYY29orTp/DA6tX8oJW3xfsigV2adg4biFABcxWwq6TQPzuQX16LLccKMKZXB7z+2yvCZOsoHNKMT6w6Fjr1TBotG+5EWooenE49qSyFICc54UnFu6wFH32gQYdISd2RgWeoFKaWKAj8AwKzYmGjWqsVBwGCgPkD+uDpmZNZPvLTAwexva4YgjTze0Fja5WwJUuA1vqYs67sZY1H4Ad11H3wS3wG9iHSBok+R+fdy59vYGoNJ4ZpMBOLL8wgi9ognhPkDow4FfYVlWLvGRv0DsCpo6JMsX3+CQTqwxZmHuTluqoTUOt1xCxEJQ3/a64bxYC9Q0YKfnzkJvz2zk9Q1FQVuHMwH1+UxFVpVLju+tGYO3sIUlMV0ywArhrTH/9Yth12Z/isk9xt8WY9xvaOnN3r1iGjVQPPvz00m8/vdXtP4+zZCvy86jhf6/L1zrS6Vig3Rc3rcG2Gmv0TKOjavmHiYNw9cxReevhbWJudzF8P+YnYXy1wxMVtB//J7QihCxEFK6xZArj4V5qMDQva/4KCKvy09ijmzB2KxAQT/vb0lXj02R8Y9Adc36moOPa56dWrcfZccOIk0m688M4adO6aia7tg2eWf7NgNHYeLGQVoIj3YWnQya7bsQ65RLmiZTMzE3HzreOQnByHIQM7Mp3o1JlyNFrsqChvhMvmxsZNx7He7cOHr/2ETplJ6NmjDfoP74zxMwdw/QCFRqvGmHE9+KWMmvpmVNc3IznBzEXfkWL3wQJ4+fqLTv/atvMs5s0ajF975OQEKyg9/fTTeOaZZ8KWKygowHvvvcd8+scffxx79+7FfffdB4PBgJtuuiniuisqKpCVFUzppfcejwc1NTXIzs6Ougx93tq4CPD/w7G9eh+anUbYWEteYSai9yLO7IFJH/ywYIoBF9II0Gu8cNr0cNv0ECTzKM62GzzQx3nx1oirkGIQC8BS9HF+ikJo8PpUPta0D74/i8vSdsTZAhHcV9cl8L9KTr28vFbjw/ILO7GkzIc4rRFDE/vhVGUT1MTZJ7zsVcPjlCoBW8r1CIAx0YHELJJ7CA7itX97fifcvmRJByVoj/jHtjoTdIkuzpoL1EcySNV7oWJ6kLysIihTrTTFkk2LlOBGur95kz2ALtCfNFtxsq7KD/BJq31W+75YWUqF0z7ed3/4AXPkPqBPSc/+2TGT8eft62F1izSD0CDg2+x24btTx3B77yG4782lOHi6VMxatZNUWVqZxeMxh+BDn7RMnKqrFotVG+VBibJtKiw5fAIujw+vzg0uEI5Uo/CHn37iVYSBbplCIpk3KRtirCNXSQlkSr+TqRO7ThXjpaWbcenonlxkTeZV8kxR16y06CY7UiSY9Hh67hT86Ys1fEXwWE76iVoDtEtLwmlvQ2B+U3moPIChXuJ4x9DDJ169J5a3GdEMGgFDU3BbaVq8R0McLr92CKb27Ip2yYk4fqESN/7ze1b4US69v6hMnGUIZ8EEdaa2WSxaDR3Cj+7ZAYdrq9Fkc0ZUv2IAIpd8RFs/S/N58elPe1HbGJA05PF7LKCnKPilpagGgcSo6NzasS+fpTi1JKmp93Ghn3+9rchO02avGN0bqeU+rDleC6+kjx4p6mqb0dhgZX4yxYnjZTh/tip8ndK+0mxL/unKMHBPQRztl26diQc+WB4GYjnUwMNzxsMQZTA8qFd75GanoLSyISIopEt58qieSEkU7+nXTR0MTAWKLx+B7xfvxcZNJ+FwutEmKR51Ri9s5NIa0dBNAtURjikNdOJMejz/+BxOHui1Wgzr1h5mgx6WBht2bjgRNXHA5xclDDSxXUk88ZqwczbsDh7lkBG1piUa1Hc/7GWAT9GvVzt89+FvsXrjMezeXwCPxwdLsx3nS2ujN5AfiPLaYofP48Mb32/D2w+JtAo5MlIT8Lurx+ClD9YFX3RSvyvbH3V/pA7Su3yYMWsAbv/NRAb3FB1z03D/nVOwfuNxvPjKSv9PvFYX9JXNnLgpqbGi5MQFbFh6EG88sxTX/HEGbrh2TNRZIjLgolescLrE0ZWcp5LfKNfobKWK2i+9yLakpASJiYGBDgH2iOvx+TiD/+KLL/J7yuBT4SyB/mgAnyL0OMiDe+XnkZb5V3x1LgL8/3A0eZpR74ikhiPAqIvOP+ZBgEaA22oIebir4HXqkGNug5EZAT74pW0HYX9dftT10cPD5dYgRZ+ILknJrMmfa07HT6XH4fE44PJp4HDqYbPLqEaaJvdz7MX2x5ud/gyz1ePA1oZ90GkSYVdm/Gl5erjzYlFOVn5aCIhPt0YVDmisJme/qD3EOu2CXQ2VTRusBuPUMPc+0mMotKhUzuDxLsmJCyrUS/GwFKUyqC0GTXCK9ve9J2BzxRlYPU6iGgeCBxHRL1QCwxuLCrC9sAhlzsaYYyF64K4uPA1LXjMOnykTPyMlEispkUTPVNH++/TB+0DZ7/ZxSah32lFVaZVu3hFmQCgzn3cKt44cjD7Z4cXFcvx48mRsx1k+F0RgIKvyUD02ObUKUegmtgwBn184hs8Xi7KmGWYz7hk+Ejf2H4BZg3ribyu2ciY/0u9p4HPVqAG4dHAPOJ0e/PW7TazgpMzWdkxJRklTM2zE/1fuug8inYQGHi3UXxMQpMJYrynSpJg4FRBfKs3syMZDrP8voLKkEZNyOzK4p3h2+UY4Pd4wsEbv6TcR7AiCtqO3Er9WXFbjU2FQj/Z47NYpLNF3srgSd72+GE12pyLDKRb5U3EvD1IoeU0Z1tCaaGn5iromvLNqJ/QE2uWHFE9GtKzRHrQ/bh+Gd2yP9b5DcJtpAEB0KioMluQVqYiTB2Ox10urndC3C07VFLQGo6HZ6UZ5SSXijQZs3XKSgbqSbx3URp+AvXvOweFwwxjB+Gdi3y74x52z8fx3G1HZEODaJ8eb8OAV49hfIVrQg/sv912Gu5/7joG6cqBKwDs7IwkP3HRJ2O9yc9LwyAMz+CW7wx44UYIHXv6BM+NhTsySoRVRkSgbTp/x7JogoH2bZDz/6BXo3CG81qmm0tLyrCDRmSRJRV5SHujJo0tBgCNVIYcqzbaEFfNHmVgKOwdDvwdQWdHI9QyjBnby69lfO3c4vyheeecnnC9ruQaoFSkozmbvPlGEyromZKXKktVAaXk9Xn1vvV8RSDTyE9emiqDjLwsfMe2GZiC9PugNOtx93TjMmtIvYjEvHYuPPxMVxDg8PugrmsIAN7fT6cVXz69CcX0jHr975r8EEuW4UFSDZIsTzvpmuDLMorwm75z4LKdrU6tWoVuX6M+DX1MkJiYGAfxoQdn23r2D6x6IU08KONGiTZs2YZn4qqoqaLVapKWlxVwmNKsfKy4C/P9wtDFmwMMSd8EXHLnRtnQN0vcGoxsOe/jFf7a+Dp8fP4g7B4jV1lPb9MfXhdtQbKvxy0DKwdenoMLItN54ZdhsJOlFPdvnDqxHbZMWbtLGE7cYth2mBkltTYy3w2AIGZQIKuhNdrhh8CuXUIGuSgLHBLR9dh0EZXZbynLojB5oyNo3QnhcGrgdLbmZCvBY9RIuV7Y9VmYxxsfKrFeE5ahfp+QGG57kxKXg24m34amDK7HHWcrKOa0N0rQnqUe2EG5pWZsNy38+HvQw11nABko8mApTPxDVckKBKg0sCByvWHAjxr/2EQIlVeFBoGDZsZNRAT6b35SW8XIxpV9VwL2jRjCo7JyaAneDGy9+uykiuLfmSKo0it2pttnwzJZNqLFZ8dCoMXjx2kvx0JcrI4I7Alq/uWQYyuss+PsPWzkrLjXBHztPFMFHMzMhGIclJ2XM34I+OnW3qRHw2AFHqjJVSXUMQFK+j7P8tlS1vyCSQbRXgN4q4MSZchhNOny17gDO5FWwM3wkMyz/pawJeDAowb2pWsrWstEVQDXn08b1YnBP0Ss3C8ufvw0rdp3A1iP5XOxa1NyIeo0r0M9ysbWkfhPE2CEA6R8UBObS2NAq1iBIUtNRRmZqPDZsPolGUrvyp+rpJkd9Jjp1shOzk1R9IoN8+iglzoTxfToh0aHG0sX7ox8jtQqmVCMuf/Vz/3VjUKnh7kH8Iiry9MFY62H+d0jT4YwC8CnG9+mMtc90woH8UlTUNyE1wYzh3XNYrael6N4xE5+/dCO+Xrkfa7Yfh8PpQXKCCXMm98e1s4ZyYWasIHBPMaR3Dv72yFw88LclfIxUyuJcNpZTwZ2ogs8hHgeSiHzxwcswYmCnqOAvIallnXOV1wuBlKAMxL9SCPXLQFatRmKxC41djH4lHRpQpaSb4Gx2wU7KPaT+ZFRBH4FGLjNJY2XwKR576geMHNoZf/z9pUhNCZ5KG9w/FyvWH42+ExJgJZoSnQOxHsO0jDzIVQL8JWsOBwa7yvVGMaGTSZ/jRnTj4925QzqmjevNPgDR4uy5ClRWBTpJSwaZUfpGvGcJWP/DAYwd0R0ThgY/p1qKQzvO4unffQZrkh7Odgkh0y9iUTaRCDxuAbOnt6yi9ospshX+/4tsSUHn9OnTQZ+dOXMGHTpEVjOiGDVqFFasWBH02bp163gmQKfT+ZdZv349HnzwwaBlRo+OXOcWKS4C/P9wTM4ag8/OHAdCJS9beY7J1JnQoNvFlycP+wE+u8IOuwNPHl2IA3UFQZro6dpUXN12Anolt2WzKQoqZPy+4DDrsUevxZZu0FQ4ltrkr6nzt0EArA4dO8hqiE+ruPkwyGdesgCN0QmPVQufXdZnlIxZYvjVu5nm02LvROUNy/semp0Wi9Yia78rfxeavSdwNTSzPQakZ4ct3yUhHV9PuAVH6y5gwapvOKPN9AQ/yTs8mHdOusTyoKKF84EL9CSw6l+HFzBXAo50scjTb6BEtBRSRZPdzOlnEoZhdROVGiaNjvn1sYIGNDTDECnWHTqDd1bvxClPHbwJLbf/jhHDEK8XB6pLdgYbjsnhSgkH98p4Z+8eXNVHLKzzkFEWzRT7FOBGC1R5bPhg+14IjURhcEXMSBLYIxlQKkj1U1RYVSXwNyfk3FK/Rn5eM+dd7xJgrBaz4QSuWLKxSuD1NrVXixrm8v5IMxcujRpfbjyIZz5fx8dKZoERpcedIMCZFKC/yLMON48ahIK6euwtLOWZCRqM6JtENRl5Op2WNeq1mDY8mHubGGfE9VMG47rJgzD7/a/Q6HOHyEXKHSAT8yWgRcuQKy3VBtG/WnGf6bxjGUy+lUQANRI4kN1v+fQ2qjEhKxerf5aKFkN+w3x9yXyJtuEg2o4m/Jqhnz1/3aUMpocM7YSOnTJQUlwTpv3N2/UJqEimmZHAipx0zhvE2huXVg1XsgGmSjfiKgOjkYREI+ITjIFBbEEZNh07xzUdXbPTcNmQXogz6OGpcaC5sBFugxU1ycnIzo4um6eMdlnJ+MPtU/DobZO5tkFHo7vQtgsCDhaUYeW+k6htsiEzKZ4Vbvp1CChY0ewMXQf+xIQqQr/qxT6z+Twor2uOmdnNaJOE3gNzcepoSXSaDn1sc7K2OvPHQopYOUtt9yGu1InmDkZ+P7hTO3RJTsaBvGJY3A5o9BqkpccjrYsRB3cVBO+3Vs0FvbFCLqDdd7AQ9/5pIf752k0wmwMX6oSR3ZGeGo+aushqRtROkpcldRiN0xfmqi13pTOFCkxV/sSBMnYeIDGA1lTIBLZJcf3c4ejVJboKmTKarcFFn2qbq0XYoG9wYdG6Q/8SwG+22PHcPV/AJfhYKUnZ3qD2CwJ692mLLp1a9kH5JYQQRUUnnPIbOwiAE+gmig7JWBIH/8MPP+SXHKSAQ1r5X3zxBb8nvfu3336befsklUkFtaSbr1THuf/++zF+/HhW6Zk9ezaWLVuGDRs2sExma+MiwP8PR7f4TpiU3Rk/ni8P+pw57q0Ijzs60C1ttgRxtlIN8QzyzzVV4EBdPiwOF7afrsKO4jI8fXI7L2PQqjCvTzc8MnwSbB560MvwKHp7PMrsuyJsTgL3kdonPlT4L+lfbZwHWqMLWvjgtBjh8ujhjaVD/6/PMAYH874jZVNk3fLoIN8X74Nayj6RTg1RkvqltcH7l8Q2oOif2hafTlmAWzcsgps5+YjatwwyfXQDah3At3s9MEfaTQ9griAuswjqu/XLxGFrFXxs7xrIRAcGXsCWc4V4d88exOl1sIbyKUNmMc7W1WJ7URHGKbIV3/98BC8s2iSCSgaj0dtNoGxE+/Z+cM/91Cl8kERA19WKdS06fhzbjxSK8pYMqAGNnHmnDJMJ+OTn/Uho1MR8ANM39DslwA/VDWfN9dBCVCqESkpAc5kVXomvSoDXIEukSwZeTe3I4jbkQUntiydjGeBkZTWZjPpZYXLoaAae6HRJinZQxjanHf506URYrA7c9tK3KG6s5/0j6o8ofSqtxajBwi2Hccs0Mr8Lvm73nC/BmSqFZmeETvFn8mUnVUWG1msWYDcBxloRvJMMJun0i2N2qZhQMpmi72SVRso6v3jHTDz1wZrolDsSFTAQQPHhzuvHYPDgDvh+91GsORgosh/eLQd3XzoKAzuJspW03pdeuRqPPvQNSkvq/LKA8r/WHB0cSSH3GPl2xxxx8Q5gz9JBZ/OxxCj99vIrBnPWucFqx+8/XoYj58u5L1VSYuTvy7choxJwl9jYWIjGDO+8vQGp6fHQm/VISjZh6uS+uHSqOBiloMEBDTgTzUZoJYoLCy6EgHuPx4vzRTV4edU27C0o5e3SNonasWjnUVw2tBeevXYar2PxxiOBrHGUtK6SCrP1wFnMndw/+vEHcPP9U/HH2z+J7CMhKjDwzAiIvhGVGkjH0Yt+nZOg86lwZkshTulUcEva/bQvdbVWtO3TEWlaHWpd5MpFlCKfaO4lGTKJMwSBbcgDWblmg87/svJ6rFx/FFfNFjn5FDqdBq8+dSXu/tM3sNpdgcJg6V8aFHmNat6PtN7pqDlXB40tAAWpz9wmulh9rOrUqWc2OrRJCdrHMIpXK+7hGanxPIPT2mjXNnibMSZbg7L4JwtiFw+HxsYfD8Jpd8GV3sIMjkqFc8U1bAxGffx/JYYNG8Ya9QTin3vuOXTq1ImlLK+//nr/MuXl5SguLva/p2VWr17Ng4N33nmHja7+8Y9/+CUyKWjQ8O233+LPf/4zm12R0dV3333Xag18iosA/z8czLsccDtO1r+N0431/rsAFXp4vHSzi6wjz9OYbg3cMQC+WSuq8oRG14Q2SNclYfZ3X6O0qTHIxMrpEbDwyGn8XH4SRp0Pdh8V3raEpinbrIKj0QB7o5HVYtQ6L9RpVDXXSmqMILrlOmri/Ut6nGqWu9QaqMg3eHG9yd3yXZMGNzp6SeYdlPWXByP8ABd536FJfsrKMquF+aki0Jfv/zN6dcdDU8ZgSUEe8htrkaA3YGbHHhiT3ZEBZr6lBl+fO4CdVaKm9ejMTri+6xB0SRTNP0Znd8C62bfji1MHsfjMcTRYXUHbl2kWvVMycKqKCsFalwUiJROtxsMZv0jBGWkX8PylU/Hg1rU4W1sjDTBCQKv073t79mJq5y7YcqpAbIGUuVW2VU195wLe2bHbD/AbrQ68smQL/00ykAys3VEy7zzGEHD38OAbVtfsdAzt1h6H8ssCIJwFv1vuhzM1NThRXsXrJmUW2TiK2+0DtM0iL94ZxZpd2Q9hvGACy1If+JeRaCvMI1YBvdpn4uP7FmDi796OsmIVbET9Ya5thI1Sv5nE2YOw4mMZHDUBroRAAbVZr8PYbh392fhPH78G/1y+G19vO8wGd8qLx+pw4e3lO5BfXoMXbpkRdH/YkV/ExcpRZ278CMe/K2H7Rss4UwTE14gOzCqHAHuKOJgmx1QNabZzMa0YNDjK6JjIA2WZLhU1VCr89tbxuPkK8Xzp37ktHp8/CTUWG2vQkyutHIVFNVi7IQ+1dc0YOr4bZiTF4dypCtgdLrRtn4KPTx4TAWW0/fSfNOJ9xJ6uhdHqZgfTa64dxfcOAvd5xSJHVindSrNpF9KApHoV9M2B67euppkHReWVapw8VY5FS/bh9w9Pww978rD5SD4P6s0GHeaN7ofbpw8P2h8C9t9+swtLf9iH0kQPHGniCSdvV75OVu0/iTYpCbh6RH9U1TaRLBZaG5HUf0JjwPDOePof1+O1J5fAUm/jRAdn8/n+QMVJPpGeE2MmwEe/MWhQcro6cC9xCjxx4krUwCuhkq3Hz8NkcUDvIF+FQLpFrhFht26eyZE4/3R7N4QMLASEAXyKLh0z8M27t+Pqhz6B3SLeJIgyROo5clae7vfpcXGoMDbCY1BL6kSBQRENNMxFDrgaK7Fv1zkMG9XVv/7+Pdujquak/7jwqSTfSKP0zW0LRvHAsaXIP1+FjdtPwdLkQLv2KSi/IBZlCwYNBMVAJDR4YtysiTgjFCtOHDwvmmHRrEwLQbUjDU12Hqz80sMnRKHotKaSPyQuu+wyfkWLzz77LOyzCRMm4ODBgzHXe+WVV/Lr342LAP8XEFq1Bt9PuAev5K3D9+cPwi0hL6dLj0QzFQAK4oNaCg2lIqnoqY64hZFPRgKKc7r2irrNjw8fDAP3gVChpEqD9l0sqPDFw+2MTQIn0kdDaRK8Tq2CN+uT9IcF6EiFh/eBHuJROBZ0A+eCzwBop1t6U2UcUnIt/InbpoWzzsg8dhpAGAwuOJ36KH0gQGXyQhvvCRQPJnrgs6vhsxDHVgW1VoXLu/RAnc2OnSUlAf468VRNxC8mfqoKBrUGM3p0xzWD+mNQ+2wGRQ8OGhu2xRXFeXh4zzIxkyetq7CpFl/l78erw2fjig59+bMOiSl4cvhkfh2vqcJnxw5gW2kRH+eR2TmY1qErvj18DCq3qPTA95vQVG7IsR7TLhdZo41YEcLD9y+jVmFYr1z0zMnEdwuuwg2LfsDxinC1EOU6GzwO1tsmcKGc7QhqhiDg8NkLKGuwcFHo6gOn/ACRwBv1lb5JgIsoKnQahTStf0ImxuTmhm3/hZtn4LbXv8OFWouYmPK1LgtWWS9Ou5NJkqz5rgTkRJWhdvFDWgHWQ4MHdCF3R088oK9X7LrisMiDgdumDGOdelIioexgaDAuiY+SUVUEaebL7rZhbaMMuFOcjaC4c8JwBvlyJJiNaNcmmf0ZooGJNftO4/IRfTCqd2Dm5V+hFMRqPgGkSeN6IEVjgFXtwQ95J6TxoVjsy5QHKg6mQbZOhaJmC87XxnaBlSO7TTDNhdRdchWmSZQ5ffO9DVi2WjQFEycNxKLF6ZP74Jk/X4GCylq8n5/Xup2UZh08cWrMu3IYbrxpLOLiDNh3roQz95F/J2YDbFla6JuDZ8B44ozoQmoVSi0W3P3Bj+KMgnTNkvLNwq2HsPnoOXzx8DVIS4zjtv/l6aXYueMM1zU4OhljutR+vfUQEp0a7mcyCIsuBxnI+lJfdY9QWBspRl7SC99s/iP2bD2FC8V1iIs3YOHb61FT3iitNsbMGIFzAuFyfyi/I1qbxSsZpIl96ErQwuRQZNllpqF8aNwCZ9x5nREUw2iZ8yW1mPvAP9G/e1vMnzKQ/6VIS4nHu89ei7v/uoiVpGTOvGwmN21Yd2wiMy9uqOSmq1w31cUk6tBUb8OTDy/EX9+6AQOHiIW982YOwk/bQjTylfVb0k6I9xAV2rdLxuniKpwqqETPzpFrmpwuD158YzU27zjNbaTzmlR8qBCdz/EEAzS26Ao2fP/LMmPykC74V0Islhb9Q1oKOkR077sYv4y4CPB/IaHXaPHnATNxX69JOFRXwvzmvslt4Rbc+Dh/A9aVH4VH8DK4756QgUpXPmo1JomiE3xjo2yYXqPBHf2GRd3eQjIakm44Wp0HCck2aPVeeD1qNDWY4XZqYWs0IT7eifoYAJ+AYJo2DjVsAqHkW9IsrQdmg1s5+wlBcDN1x+luReUoAQKHDvXl8Uj1mdFYTZ8pHx4qqA1eyeFQmXKjwYIParOIkIJooEYaeLggNBhY8ebx8ROQGRcPq8uFpzZvxLLTp/wPW7qhj+6ci79Nm87LxIpzlhoG96HgWgb6j+xdht4pbdBVyuTL0Sc9E3+7RJSapGzcMxs24YEfV3O/yuUVGo8aAlFsiPcfIcFD27i13xD0HJOBggu1OJZfLmo9K4oe22cm49nbL+W/Ew1GJBtiF+vROo9VVqJbbhpOnK/ymzGFBufVBOCL3QeZIlJa08C0AZ5JkGlYVGhtEYt6CbgydYdqLJyAOS7yLSgrOR6fPnQ1pr/6CYQmcYChsQrwRh/TcpvPnaGqUiqQjDhhwC609AXVH1A2P1rQYZs3ti++O5HnfwiTM62GOOYE0hSXHe+LF+jVLhPd26Zz38+Z0A/frjsYBpppVqPF6nkKWUk22tfk82ZW4bcThuM344KvcypUfH3xtpgDIgIIS3YcCwL4/du3gWdXC0/xWCom8kCagKrOiyfmj8XqI6cZ4PuDQEmES59AYmuiW/t0HDlbhqWbj/K5ToOZaSN6YPrInjAadPhi4U4G9xSBvhf/XbfpOJKTzJg3PzibG2tf5SBFk7vunuJ/v/HYOT89JmKoqIiVstEeVkZSTn4QIPOpVWjKJDM+gZLeQUHtpuLcN37cjr/cdCl2bD+NHT+f4e9cCdGpL3LYXW6cKa+B3q2CxyjEKO4U6WPyNudNbn1xpFanwZgpAUWgPRtPoLqiUVS5IQfXKNv0ydSNSAXS0nVHTsNek2SIFkLDCVues/8++EyR7yOcMqJZkxoLv37aeQq3zB6BOxeM4e+752Zg0V9vwfJtediw9wxfO91yM3DlpAHYsutMkHN0eANUcMdrmddOY4uP39mItz75DX/Vp3s27r5pPN79Ypt/Hf4sPlGMJOllQdLkL65qQNmmRizZcIRpUo/cOsVfMC3Hq++uw5ad4nkgtkm6GPWSIpJJC0+CHtoml//U9cXpuM/Jkdlt1sCbZMDVlw4JWq/D5kJdVSPiEkxISgs850he9uuPt2L3/vPwxhnFmpkY5x61d8yQLjD/SgC+rwWZzP8NcRHg/8IiUW/EhDbBBTBP9bsKf+g9Fxa3DXavDfcdeoEpjl1yqnC+LB3NNlNQeiDeoMVn0xagc5KolBEalGElhRb6TWqWBSkZTeIXEiBIzWyCpc4EWxMBQRuaDR4pix+MGAiEZpkSUFluD0MSer0bcUZREYFbpVKM8I1ilkEJ8nk51qYP5y14a4yo88/ehwxmnGpA7xHBLyv6CFAbPEzNiWCiK7IIjD5ojCp8PGMumr1OfLh/N47UlvOg6PcThqGNNhEGjRYDsrLRKSWE5xglvjq3v0XKBy3zzGARZFNU25txqqGaDckGpbfFmz/vwrdHjgYNDOSJaRUZc6lo+ltZqSz+oxXU6JKUijijHh/+4Sr8tOcUlm47hopaC1KT4nDFmD64bEwfziyHzgLFCpqBmd69O04WVbdYeLzsyEkG+AS4/GY9Cg8BpjkRZ12RlaYHX4f08MLDGosVxbUN+Pl8EaxGLyCPRYJQUnhbeydn4HxRNc8ERaqv4Pu2xMsnJZYoq+K4avwAtMlOhu6MhiUq/XlJM+BzBf9QVqc5XlqFuc98jh45Gbh5yhBWw6iz2EXnTA1gbUOypZSlbEUJCY2PYmBtWsdlA3vi3kmjwmh4a3aeFB2VYzyMCSCcrwyWCkzQUCo0xmyRgqYV9nnI2/XHz2Hb6ULMHRwuCylzpZWDhT4dsjC4R3sG75EAFZ0rA7q2xffrD2Hx5qMB0KQC9p0oxmcr9+L1B+bguyX7ou4znZZLVxzEjdeMQt/cLBwvqYwhsxvYL9rWiO7Bpjd2V8t0lgCtS5T7VIY7TnTzjRa0b2sOnMajV07EiuWH/HUDra09SkgwQqAC3WY65xQZFm6U+DcViRNtiv5upzbg3LEytMtMimgg11JcfsMo7N0kDuQ4o+wkGWFtuHqXJHcaK4hn7yWOOxvBRR8s8LYkwzYWg4ji+UEDSm2TGxoHFdGo8MV3O3m2YtLw7vw9+QrcfNlwfilj8ZpDLcuCSrVYVLB9+sQFlJXUoV2O+Ny9bs5w9OzSBu99tQ0nzirkDuXZQf91Jq5DPu+XbjzKkqg3XhFoT3llY3SHWJqp0quQnpGIl967DRtXHsKib3fDlWQkeoBCXAGYNqAbOrcXZRgJ1H/5yips/GEP3BI9q//obrjhkVnoO7IrXvrzYvy86YT/GtG4fdBYPUzzCT0eLKSjVuGWK0fi1xK+/0KKzi81LgL8/1A0OO34+txB/FBwFHVOG9qYEnBN14G4ustAmLXhI2BStzFqkvBpwWbYXHo0uXU80kxKsyI1tQlOhw5EhNHovaAB9DOn/wnDWS0GpXTGvJyx6JWYEwTM43Q6aBPrGMz7Q3FeJ6TY2WyLVHrkf90urVR0C+jVGszp1AcjUnLxaNlP/t+xQyCZdKUSsIl+LzcZ3HC6A3QdWs7bHCG1x1z4gANqaLBsXrMWSHZI2W0Bar+bb+SgGY65A7oj31aD67d8HSTjuKuiCEl6I76cfG2rwT3FjsqCmFKQ9N3PFaIiRLXdimf2r8PaktP+jH+8xgBXWfT95HY7VfDSlLtsvMUOm3STApacOoHbBg5hfiWBeXrFirEdO2D7+fNRt0fnyLiOHXBV3754a/3OFisBmp0ubCopQEK2EW61j83CWGUmRmKWHmhXDunnf19eb8HLK7ZiU57IR2YKiuL3NBOgsYsKNMpiAHqwzO/VG1lOMz411sCd4ANqI5wAdGrWi9SXIIq1cuygBgb2aoecrql4dv1m5U95YCDI/HHl6qUV0b6qbcCZ0ho8/ulaVogi4yz6rqmTXIyr4iLbUGWOoKAZCIdoSxdpH+RYte0EBvfIwWXjgo/1yu3HpeVi68UnxQU43m6vF49/sxY6BxUQhnaKNEiT/CAiFlhGCBoYfbvnKMw6LexuD1NyaN/96jd0KnuJspaE3m0z8dRt03HbCwvR2GwPAvkEsGmwNLRnLj76cRd/Jn8vt4MGsw+/sgR2R2yTHZfbiwOHi/D7GWNw54dLIi+kSI7K27rxkuCsZ9c2aUG0yUhBWVUeaKqFoNoNytp6if/fgp4/zYKVVDegpKjGDzQpWx0zSH7UIaBbm1QutBXcPqgsArwGFbwkxyTdN2hGjmfl6F+XBxc0Xjz55Xrgy/UY3q8Dbr58OIb0CafORYshY7sjeUg2Gg6Ui1n1Jju8GjNAgwUFwGwpgsaWPBvQStpYhMVEfQgfTBec0DpFgywKY40Tb/x5KYZ8fy+SJOOoSJGWHMf3lpjUtZDvGuqa/QCfYnC/XPTqno3T56v8hbcy5SVWfL1yH66ZKd7PiWP//gcbobF7eUaDi4gjnDcV1RaotWoMmdAT32w4Frg4FIpbm7achMruRr/26fju76vQVG8NciXO23MOj135Jq7942xs3xhCMZL6zpmmh0c586pSISXJjKfvm8UDmovxy4n/PXMRv6K4YLXgsrUf4/Wj21DUXI8mt5MpHs8f3IAr138Bi4vm34FahxXFzfVweMWHVr3Tis/zj6DWYYLLq4WHzKe8WjR7DXDSSF3vg0HvhQ9eNLqbUeVswPqKQ/jdvn/gh5KAtBJl/Ob27IUUJbgPCbonGONccEtFqVqdD0azCykJXqy97DYcWHAfXhk9E0kKqoeg9UFI8kCb6Gb9+pggmyk8UnaG7pNWDQR7eBGPqFwS+2bIwE+WzWyFUzp9X25vxJN7wx1W6S+L24mbNn0ruse2MloDeCgHTAO7K9d9gZ8U4J7C2hxsbBOx3fSfWw2VRy3+61WL+65S4XRtDPWTCDG/T2+Y9fqoNwBq221DhiDdbMakrp1bXJ9b7cWtPy3G4/vWw9LTi6aOXtatJw3uaE92yu4O7iDyYasam3HtWwux+bgI7v0R8lum6tgANWXhSVzDCay9/ia8PHU6659b071MvyHucRgXmIRrpMSrDNKVHjxEnyFJ0TsuHYHXt+8M/q2k/BI1pHOOACxl7HnLXhXz7W3ZAXDPH0u4OmK3CEC31FTEq7ThBfIKxgkDIRXw9epwnfc6C/knoMWYOayn/+8txwtQZyVnLlEOVJYYlbP2NLjR2YEX5kzBYzMmhLcpRr8Y9TrRzIvyFsoTjvjYGqBZ5UG93YF2GUn4+pkbcM3UwYg3iSM74vMOHJKLLkOy8eGe/XDFR3azJfBUXiZywFsKkhEd1aMDHpk9ATqN35xD8ZL3Xdy54TntWMdeGZcP7eV3T44YggBjnaLgUbkoFU+3ErdS38Upte8lFaKwfhcEmMqdyNjTiKzdDfjo0aVILrNBV+9gipDOJsDYKMDYIMBgEaBr9kFtoxEbUf8ChaUU+/OKcc+Li7Bya+Q6BSpUPnSsGAeOFKHBIroX07n6+F+vQeOAZHjitbx/mnobBJeTTbXo5UpQw6uLDfS56+W2UNLHqOYBUaxgXj9LuIprpiJdR6IazlQNnGk6WLrFoSnXxPspr8lRZ8ef7vkS3hiF3TPG94l9TyYzwWZP0NMpPTPcGClMUUfd8gOjsdmBvDMX8NKzP+Kmq97Bzo2noLF5oWvyQF/vhsodeaBnt7vwwWdbY6574+6z+ODpxWisaQoC9xRcHyII+PbjrWEUIQr6xFjrgrnMjiS7gCunDMBf/zAHSz+4E0P7R9d9/8Xq4CPy639LXMzg/wfiwV3LUGlvYgUROeS/zjZW456fF8MFNw7WlvJnRo0W8zsOQJnzAprcTIQL/I6nmUQ9fLM+nHMub+MfZ5ahZ2J79E0S1TYu6d4Gu8+0kIEifWsmG8vvBTjhQpJBz+oxFIOz2/KDzk0lffGSLKBkQd9SqNU+fsA6qk2iwk2ECytwS44d746dD7veift/XiZJg0ZfllpX0tQYbAykCAKY5OS67PxxXNdtUKu2PzqrIw/GlMdUGUSJGZPVCZ+e3odSKxU3R+A1/LuhUsGo/dcu5WSTCZ/Mm4tbFy9hOofcHuoT+vuZyZOQlRiHEksj7ho3AhtPRndBJjjrjlOcS/Rgjhdg7eSFrlYDvd1fTcaRYjbhljGDcfu4YbB7PHB6PHh33S7UW4Mzt9FmAHig46UMpAp922Siq+T8l5xpEgt56QGeQYBHcZ3wCqNkzSWQT5n9HmlpcPq8sDiCNaYZVLeiyMyvsCFPsNDgJ6SolqbniapDdQKs3iFnLlXAvKF98eTcSbhQ1Yj7/74EF2osEcE9/ykABWW1XMyrLGzLTk9Eea0FLjaJi6RDDxh0GsxQAPyz5TV+BR0GZ85AkbKyD/u2bYPu2emoabbhn9v2tSqbX2uzQ2Wm9H2EDlQBdTYb3t66C0/NmIT05Hg8cPUEfh0tKcedXy3D1gvFoi+Exgckg30ATLWBAZfG4YPWTtny1l1EnTum482l2/DV8n3Qk1+ARKWhAZ5PUSfCUp92H47XlLAiTWZawMgoOc6EZ66eiie++Sk8E08St3YBpuoAeBQJboKfU04GSvb06KoktLZ26Uno3CYVk6f2xaf/3CpS3+TBB4PEwDWVkG9HfIkj6DZib3byBBhRU1i/XOmdIO1zmFSrdP+jFT3/wU9YsWg/rpo7DBMn9uLtf/LNDixeedA/U0KqL1PG98J9d0xCv47ZePHpq/HHT1czr5tDrRa3I83W6G0+mMtjjz5leg411JOghaGB7k+Rs5FcV5Og5ay2sdIFZ4IGrlRdhHoILRrjtUjMt3I2n/Y4/3QF9u44i1ETAteBMnp3bYMpo3ti465TESVB6XzTWcR+IDDcd2AushReB9RfJSV1SDIa4KW6hBay9qHx+bubcfKoiAGk7vDvtM7igTtJy74AcsiFt6fPtSCD6SGTh+gzXZ5EE6DVxryeiNpldgEP3jXtX9iji/F/CuC/9957/Dp//jy/79OnD5566inMmDHDf4E8++yzbBhQX1/P+p+kGUrLyeF0OvHII4+wQYDdbsfkyZPx7rvvon379vglxumGKuyrLon6vQ8+7K4plBRoxHB4PVhYcBACvDCbgu8T8o1HT9nwGDUwBDB/KP4Zfft1RL3Thl21Z1tsq/w8UYZaJeDnqrNY0FEs7Es1mTGvZ298V3gkAO5oLr4VEW8UC3MJSDRXBx6ecrDpkk4NDxncxAja5Z6ZGVhZchIqrxY+twdqXXQnYDqvii2WmJQa+un28sJWA/y+KdnwIbrkFU3n39B1KG7Y8G1ElRshimNvxIaFBIGy6V3+NWdCiqHt22Hzb27Horw8bMrPZz3xQW2zoTdo8NaR3fjzrg28XHZ8AgZ3bouDBRfC203/kWlWXGiqXaRi+OIEuNUq3Np/IC7t052NlrpmpmNPWQmuX7wIe8rEBxgBdq1U+OqvOyAcQKe1TEkKCerHO0YHCkxLrKLaErWEMvGUdSb9ec6nR9MCD4kr+/SBxREhVd/KZ3OAhiGq3PhBVEhQn5GWPfOgfUCfNpl4/9rZyEgUi9w6ZKey6tHK7Xn+IsxoTQg9z6nA98DJkiAd+qDpep+Ah64YF1STQccl0nkZGgadOLPw0PSxmDu4N55dtpH12GMF9YEvhmkaXYeLDx/HH6aMh1HifzfYHPjtl0vR5BCBIrfNv6MkWwnEVZBako+z0/K+ybM20UoIaHD17tId2LOvkB9+/uW8gI5lcXlKMFgvQKXCup2ncMPlwcXMlw/tDb2gxp8+WiUqI0m0HMrcE7gPytJT+ykzLd28tR4gwa2B1SBEvh8A+N2MkbztWZcPZHnMxkYb6/GLOvCB85myugTuo+231uZhdRVHhsE/ABUN0GJY+kjnzMmSKrzw4gps3XqKdJexddeZILBL2en1W47j2NES3Hz1SOw4VwKPzQuNoJZmsUS3Y1ofDSrnXNofhmoPlq88HLa/tElSK5Idbuk8VbsFONP1craJB1xEVRGbJw6YnMla5sLTNUcZe+mgheyPSJWytTUisdDmB+VbfsqLCvApnrrnUqQlm7Fk3RGWP5WDqFLGWicDXVqPRqvG4MEdsejT7UhJT4Au0YhPP9iE0vwqCGoVDCY9/8uKeHoV3MmxRSZ0XgHHD0fGCfI9jvrBk6D2g/tLxvZsuWaA67mCZx2U4UuOhwZqMbNPkp0xMmWJrXA2/iWH7yIH/783CIT/9a9/Rdeuon7s559/zo5dhw4dYhD/yiuv4LXXXmMN0e7du+P555/H1KlT2RY4IUEEhA888ABb/pIhQFpaGh5++GHWIz1w4AA0rbAG/5+Ow7XhICkQAlTE11Rk3uUQHwIquFxaGA2BDIj8ONOqowNaClLlOVSfjyN1pfjNjq/g8NmRlRibzsL3VL9RVSDD6/QFZ2CemjAJSyuOwSlxUj0eNdxuNbTayG0K1GCK6zYku+DTNMNWGSduxkQWrIT4BHgEFeKEBNjt5DgZofhOpcLojrnISU6CvdAtGk+RDj/RhULu8zJGuK7TEHx5WhqQRAmmbLTg5CrH3uoiPHlgjZIWHhbPD56FRJUJ1bYQeRf5bx2pzPi40DgSJYmBdAQteNr/PhmZGNUumELQ2kiPM+OuEcP5Rf17//qVWHE02Ha7vLkJ5UITBnfORk21FVVNoqUrPdjcZh9ciUTkjbx+r5Eeymr8dD4ff5gxAXuKS3D38uXYVFwYtJ9sHpMoGksZaiTvAeoWq6R8owD5coHlQxPHYHrPwMBGp1YH6ilUgDVHYE12Y62K9ddbonpRxBsNLPcZFjRwbQV3XvROkHjscp8o+ewhy7PnglqNvp2y/eBejsE922P51rwYwF6FbjnpMBuDa3YmD+uGpVva4/DpMsBO5w0BIfE7SoIP7NIO8yYGGxpN7NMFr6+K7pBIbchNTw4qiu6UkYqbxwxuEeDTj2Pq69OAzO1BdbMVOSmig9fSQ8d5FiXimEOaNiC6jqk6ZAHaT+kYKPtNBO6AM0HN4F7eJ+X+yf96pcEpzdgQSKfzXKaiKONgfileWb4VphovtMXiiRFqhiYr8Dxw71RW8Sm7UI+kRDK66oNJk3rj+e83YsuxAsl0THKuBvD7K8bg8hG9+e+kJDNe+8cNePyx75iPbaz1wJERcP02l4qZ+2jnCX2ns7hgb2Pw3xB9bI9MJ3VsupBXo+KB0M87zor0Gr06mO/vFhjsVlvq8OrLq/njOIMKtiwd02v8fSsAf7llOqYO6cHAfNDADvj0y59RVCRKAROFzWPW+E2qGDg7gznkBOI98Rp2mNXXu7h2QO1wwyx4YO2YgOZ2+piFyyx3Gq/l+gdyRSYw3NwUPpgno6a9e/JRVdHIIPY3V47GbVeOwsHjJTiwrwA7152ApTJga52ekYDGqiZ8/u4mqEhLnwy5mm1Q212imTMPctXwpMXDlxwHlc0HT5wvasEx3d+6xCehvKI6nN4j7woXI4t0GppFSU2Jx923TGzVIF0uDA4NwWSgijZx/R4vhBh6+WQCNvWygfg1h+8iwP/vjcsvvzzo/QsvvMAZ/d27d6N3797sBvbEE09g3rx5/gFAVlYWvvnmG/zud79DY2Mj2/t++eWXmDJFlDD76quvkJOTw5a+06dPxy8t9tSeivpdqLtrhCXg9mhg0HtapbQXCSTesfNr2Dwu+KCGw62FUeeJbqTlU8GlcKkl0y3KkvRMCnYaNet0SDDo4XTIwF8FS7MJqcnWSLPXUlvE5eT9NSc6mY+r9cXB6hMzDDzQUQmwpjZDKDPwLITyBkbgNtVswnPTJ/P7bsnp7CpL6/XYtVxwTIMEReIPcGvxcP9JOFJdiaN1FVFviDRQGJTerlX9+tLhDQHedWh4AF2dAS9+tx1Pe7ZADwM/zLxGynxT1acAkFKMVoAvxQNNDYm0hxwL6QOfSXQD1TLXRMWAicD9x5fNi2kx39rYeD4fK84Fg3t/qICDzeX4dP48tDUlclHmH3atxfH66Fr64lNI3J0LliZMev8TlDVZIOgVBdnKZSWTMdKbJ/UP/tgnurcS14C03Uk+s0dmOnsSdM0QqTlyTOjQCa/sUoBUnuIHmhMEBl6J58R6jVgxuGs75GYkI1Gth8XrDDp5iduvkRgzocFwiQAhgUt6LspqgJztk6hGUTZNx3F2n/As4qRh3fGPb7excUykzBydczfMDJd81Go1eOOhuXjru21Yti2PTb1YzcWggjHOAG2qDluPF2Jiv85+N9vOmamY3LcLNh8viJ5RnipmlJUxrnsnpMWbUddsi3j+E1hpl5qIsuYoHacIGqDJseHEudjUHzr/pesh9HO2ABbp5f77iMckatnLA7BYYJhBvmyCRZxkjw9Z6cGDvnPlNfjde0tEOdgsLZIK3SJYjrDOe++ajBmX9ucXRXF1Az5atwevvfgZZ4WTEozITU9B58wU5GSmMLCn81wZOblpePL5+fjNfZ/B0EAqMz64STJTEKC1tWzappYUZIL6iTPg4j2qNXcP4vKLhboSCHeRaVk4ACWZy4QSFyy5eua9y5v7dO1+Bvh0Dk0c3xPqOC3+9OaKAC3P/3AIgPugdsk6+EylEqBrlOgxLp94frNiTMuzbT69GhqXl4Fxu9xgpbltW0/hzb+vQWOj3S81bDBoccPNY3HNdaMwYXg33H/nVJzKK4XFYse5E+X48uOtEEjWzqyH4PZAW9sYVnxL03C6Kgur/XhT42Go98CRLinTKY4LJSg6tE1F9/gUlJ9mXeiooZJm1GZO64+brx6FVKlgeOjADjh4tDhyNp+OuU4LgZyXQwfcBn2g64jGQ+c2G/IFdygNeFPS4jFrbnDh+cX45cUvhoPv9XqxaNEiWK1WjBo1CoWFhaioqMC0aQGOl8FgYPevnTt3MsCnLL3b7Q5ahix/+/bty8tEA/hE66GXHBZLyw+f/4oosVVjd8MhmtyKfBdqVeUV3XSIaxc0/wuPTw2NOtzxVQ4Cx+n6NJxz1/kfxA12EzK1zaDJ1FAQTss02k3S9S1m4gn05salYUhqh7DZAZuPMiGBu6vbrUVdfRwSEhzQ09x3UGvF/Qj6TABMRhcamkQJLuXe+ciJtp0DvkYd9DYDXF4vDyoWDOiLO0YMRVaC+DCcltuN9d0bnZTRUsHr0gKU5ZD4qhqoML9rf64fuK3XcNz387IoPSxmHBd0jW3bTlFgqcWx+iiGNx4B2io9G2Y5BDcEA4E/EXxom1TwmdTwkRujUwUkeBjse1LdUDdpWRZTYu1CMPrg0wtQqzSsXjQjtzsSDQam5VDm/r8C3FN8lXc4al0CBX238ORRfDhjDoNAKg5vES0pniHlTU0BBZUYTfbEEVUnkHHn/zuB96+azUA0WvTOyMTIdjnYd6E0bB8IABAlxtgYmTNOQHRkzw7okCkqJ43UZ2KdvSSIX02DD5eZChblXwXaRzMQzhTATCa6MqqU9lFrA1z6yPtND/QJnTsyNSo0DHot3nxkHu5hIx5XmBHPjbOGYtqoyPQC0oR/9KbJuG7mUNz17hIU1TTwthodTuw6VYwdJ4swvFsOrps4CBuPnmUH4szkePTLbYMjReVhGeUHZo7F5UPCjfPo/Hx27hTc99UKse5AOQBXqxCn1+OP08fj7kUrIrZTWgkXTF/19Je4b+4YXDlhANdltBixOEvM+xaHxs54NXxSNplAaUtgWHnO0r3Do1dhcB9xhuxsfiXOFVRhye48+FxeVgYiC1ZLRy3MFd4AXYjoi2lxuOe3kzDpEjETT7H/XCl++84P4nWvKKg81lyOstoGLJ0/HknEw4wQ2VlJJF/GCQJjLZ2HXrjiVRL1owVcGylrKxdQSKZvkb5naUk5NxKnhjNFw0WwRBMyNFAGP/yxJTPCTDUeWNuJJz69P1VchdLqBrTPSMb5C7X445srgkGoXCPgjn2MmFOfbIC+VlROa+pOU9HS71txK5RN6Sg7PkMBUvfsPofnngooK8nXGxVlf/zhFmxYewyDBndEp84ZmDilD3RaNf7y+A8iuJfarmloZnAf2gz5vaamCd4kM4sFGKtcPCNBMxe0QFKCCdfOGoorpw3Cj9/tDcgN++llpKBDRceSi65agx++vhemkBm8u2+biLsf/ZoVo4L6V7qX6WusUBkNgI3kraUgzr2i1fyXwyW6ElMmX0Hxy2yXjL/+40YkJpvxaw7fxQz+f38cO3aMAb3D4UB8fDyWLl3K2XsC6BSUsVcGvS8qKuK/aQCg1+uREiJnSMvQd9HipZdeYm7//3SsLNsDcnsmiUg768qH3Ab4ym0FyFcsQwCcHWK9Whi03qjKawTCvUzIVXzm06DKkoAEkwNmvWjWwfd7wYxaBwE9tV9LngYIJNX5ypAFYYBya8VZuFlYPJhX6PYQyI+HRuPl7H9cnB06nhqO8kwmWUG16HgbFvS7dDfu7jMKN3Udxs6dcvZRDtKuf2Pc5fjNxsUMPESQRx0kgtP28Un4wxBRAeSyDr2wt7IEX509KBbwKYpM6b+3xs1BujG6hJoc1Y5IbkkC05O0eh9UnUWgQqt3uzRw2aXj7gG0dRpWwyE9N8GiBdLc0BvUcOsl/wB6yUkp2g2nAKdbYL72b/q30qznX4iz9bUtSn2erROn1F/fsxMldRaxQjFGaBzq4IFjSw9gSSOaxwZMWxJP91k9e8QE93K8M+My3PjjYpyoqRKPKymI2FVQO4BEsxEGvRoNtXZoWV5UHNhSu9qkJeKaaYOYKkI88BG5Odi/ohiWdjStL7VfUsDxGWm/VCKPmZ05Aa9UDEzcf4PYRf4gjr2+UXTRZf1rIZAJo8z9X6ZNiTpI694hE9+/fCtTdTbtOwOH08Ma3vMnD8TAHsEzTE02B1btPonTpdWc2RvfvzMW7TqKkjpRXUY+x+V/954rwd78Ev+Agf6lDOOMwd2Rmmhm/ntOWhLmDOuDNsmBGhkCHqtPnsEnew/gaLlY0BeXqIXKCf8sHvX9pF5d8NCl49AhLRmTu3fG5rOFUYvL9U0kterEi99s4vd927XBKaIoROMUc5a3hZNBzvgqaRuyOmXM3wWvg1bz1Zp9uHC8GqfOBJ4rdHdwJalgz9AwHaWpo5oHEERbUZGb78SeQeCeDKju+WApn5Ohm6GobbLjtjcWYfHjN0VsFvlDkBE4123QLdFO57YAlYZOqugDIh7kpES/UPmxE/ahOOtF2Xj6vbWtFp44CeixARVgz9TCkaJB/AU3F9ByUaYkByrS66R6AcXgwmITD9oT76zymz+FBl3vLQ9YaKCjhjtJF0x1iZlwEHjwQNx1igU3jUGnrln+c/rD9zbFLBovKqpBUWENr/69f6zH8BFdwCqe8rapQN3qbHGMobHY4Uk28+yGT6Pm84Vi1ujemH1JPy6YnzazPz7/ZJvYNnpcmDXSDIW4LO1zswpYsvwgrr8qWHu+S6dMvPO36/HG+xtw7ERZoF/dPujq7NA2uwByvqZ12SWKUpR8o8rhhkA3OuLj0/0tzYiHX5qP7Patl5D+pYbvIsD/748ePXrg8OHDaGhowOLFi3HzzTdj69aAzFPog09USIl9CbW0zJ/+9Cc89NBDQRl8ovX8d0eRrYqLaFMSrPB6E+Ciu7X/jiRmy2IV2rNDrVhP5M/+0GfENqesvt2lg0kCh366j3TlPtJzPpafPxc2jU4gvsFmRoONsvUCtCotts94BF8U7MSion2od9lg1qrQJTEBCTodvir6CZOzBmJcRj9oWeQbOFJXBj1nF7zwsrOu8i4rwEs8frWH9elbCp6ZiLHYKUsVEij7ECUmtu+MH2Zej7eO7MKmUnF/47R6XN29P37ffzRSjGJ2jM6P54ZPw7i2nfDZqf04VlsOnUaDqe274daew9AzJROtiUxTfDCA9dFME03/Bs+K0N/kJ6DR+GBrNoh80kwvNLVE4dBwAi1Ln4gKuwVqGzkniVQDX5wXKnmeTe+D4FFjY1H+fwvAj2dlpOjSqRQJej0sTic+OrQvIBMjP9EjZO/VjkDhY6srVQXAmRFceLymNh/tduzA/aNHBxWghwYVfS+7+npsLMzH1wcO49CxMniJZiHJnzKYjQey4xKgdarghBc1KjvO6Bpx26KliNfrcf3QAbhiZA/889sdSDvlg8cgcoTpNG7soREpH1GMjQno3zB9ML7YHFxwzQoiVPCrFekFBJ6Ge1LwyPDR/sLSaMFGPJcP51e02HjwLP78yVq4qMCcpt8BfL/liDgAiZBLUL6XQbQMuH46eAaPzpmAGyYOjritlzdvx8d7DgSd31YvcdEALSnP2ID7Z47BbyYHilJfnTcTjyxZjY1nCoKvb1L0aQhW7Hnrxx14++F5+G6faPoWMSi77CZHWEnPPULwGJkwqYJKTH/HUkPi0zaEekzX9aqdJ2FWqOJwE+iSbKRj6YUtW8ziUgElvegcbZYKhOVYfeAUHNIAKEpJBvLLa3HuQg26tg12vKbYeigf3jgN1I3eYDqRWQdto5PpRJEuQxoNODMi3zNJglLFMx0KuhN95gUMdSJV0p5GWWZ1RB4p0WVsbXSIq/CIAJQLY0UlJr4teAIAn/okOzUBp4uqcK5IBMr/X6HVMKde7gh54ix6zYsK5koHG9hdfctYzJwXyN6fL6xG0flWSA1LG6Gs/vZtp4MVlLytFFj0eEUFHHngI/3++9UHsXHnabz/wrVok5mE2+6YiH9+sFkE9yHLyvHh59uQlZmIKRMDA0mijRUW1/BxT0g0Qq/Xoq1Oj3PbzwW3jyg5Bj00Pi9GTOiBHdvPRd5lHrhJ536SHk2VTUCP1uzoxcD/dYoOZeDlItuhQ4di3759ePPNN/HYY4/xZ5SJz84OTF9XVVX5s/pt2rSBy+VihR1lFp+WGT16dNRtEtWHXv/TYdYYRNlHtYCMlCbO4tscer4ZGnQepMVZUWc3w+KQpS+Cg27Crw2/EtWuOqwoPYg6lxXZpmTMyxkKjyDgm8LdONdcDoPGizidGkl6M8Zm9Mbc9qPROb4Nipsc2FmVH0XKkS2jMCA1B4l6E+7tORn39JiEN04vwbKyXahw2lHm8EHdpMLP1XnoHJ+Nvw/6LVL0CdCqRMUELRliqX0M8mUPGCoa1uo8UDNYk2/BRDehbH3ghkijaY9XDV8MBR66t+nVLZ+yAzPa4uMp82Fzu2D1uJm2Q26x4etTYVpOd379u9EpIQ39U9viSHU5fKTRrvFBG0URh2lOGtE4jEzDqCu8yV5oKtRQe1SorbZD2xB8XqrrtfAleeFLljJ0Oh+c3ujazf8/MbtbT/x9z46oUp90rK7o1gtbiwq5DTx4dNFDXmG+JS9LQI/oVgrQwA9h4kbHqH3nrDspTZh8fjt3WofN68Jbe3bD6nbjzxMnorbJhtMXqhmw98vNhllShKlsaMLSXXnIK67AkZILYTxUGcwWWy2cCT9XVxOUVW52ufDBzn14f/c+6DsCKQWAlsCnk4BO6yBJj9xMHoRSRlqZDRQBj5iBNdX4UNxQg3v/uBCfvHkzEpRa5/9iHC0ox2MfrWI3TZ5lUHJrBUluNBTkt7Arn27aj2vGDYTV5UJBbR30Wg16ZGZgX3Epg3tetRC+Po9ZrDl4c9XP6N0+E6N7iHQ+OlZn86tZY581y6WaBTIG04TUOTbZnKipaca1Q/pj4YGjEV1Y2Y3YrYIrRQ1jrUghjGSfQLQSJShikzGilUTI1Mpvua9CggdKUagX+mYBTocAr0lBcVABOeliwbAcu04XtQgAqQ3rDp2JCPDtTjcbGTkTBeibfDyY4lCr4MqKg77axlla5XBaY9SisaMZPpo6jhC0DGnUi7NMlHGnwZaXM/d86VFhclK4c6lyR71GFRtpaVxy4bjab8glz57QdTphQBekJJjx4Y+7oveDVxBpQVLGOHom3if5M8QY3YV8YLQLeObJeRg/rgcPgpVBnPt/K5T9QpKgrUhjeE0SYA+VJ/UJqG2w4oFnFuE3c0di2qwBsLnd+Hzxnpib//K7XZg8oRc/z6hA+ImXlmL3gcKA+zF5Y5C5ZYckmBtcaFbsa9c+7XDfs3P53xce+Bo71h/n+0hocFIjTge3RoUnnl+KB+6YgjkLglWlfm0hSFr4kT7/3xL/cYAfKftO/PhOnToxgF+/fj0GDRKlCgnMU3b/5Zdf5vdDhgyBTqfjZa666ir+rLy8HHl5eazA80uL8Zn9sKHycKCw1OhG20QL9ArufILRieL6FDQ6RDtJAjz0ICL6yfNDZmFqO5Fze12n8AHMvNyhXEBL6zKR7XxILOgwGO+f2ha1IJQoGDd1CUz3LS75mcG9+J14I5UfH+etlXjm2Jd4c8jdGJPVBW+fEqcTyeBKQxpwQSFAo/JBI5EftZrAZSXvN90adVovtBoBbpaxiNy+CdmdseVCPppcDnROTEOf1OjOeWadnl8enxcbK45h7YUjqHdZkWNOxRXth2JgSsf/Ev761OyeOFQpUhW0uug0KTl0eo8I8PkJTIRpmipVAQ1UJRAemkaRp+JNogEUMDgrnK8NCdgtPXkSXxw5hLO1tTDqdJjZrTtuGzQYXVJTo/6GAJzL68Psrr3w8ZEDXMMQStXhgmaTGQt69sXq/DMh5ltSlp7AJANYKmaUMnw0C0GzGVzIp4qZ9Zc53Kx3rhwwEBijsYJawKcHD6Cy2ILtxwr8YJ3oWteOHYiO6cl47lsqeAY8GsGvZx4p6OPTJdXwRaGREvh0ZKlQZwASSsjQRuS9tiZS48x47cZZuOeTZVxA6x9ASP9qyXSojkRvgaoaC1atP4Zr5v77D8vP1u4T+y7KfvprIZQYrwUkUt1kxb0/rMC2wvN+9RtSXEqLM8es06D1kjyoyarCp5v3M8A/W1GD33zwA8uwssa+MrFN6ik0uxWCrw6eLcPGpYeRZnWhKUcHV7II1HVNPujZmVXD167PpMGlV/TF8QMlKCmr9//eaNbBQtciqbJITSWQSbtyzZwhWPnTUfYPUHYHBVOtIk2jxpAfpG+oTXYFdZ6A1ZyRfUMWbN35s+NoIfq2zYLB4cOqZYdwvqAaZrMB7bpnwOsi8KuCK5HI575AXxLwbxMHFYFzuwfdO2fi2hvGAGlGPPLW8qjt5n9pdkqlhlOtQkKxS5Snlb8zaaKqrij3y2OgwtWAzTEBWI+RqDwq7ncyLrt//jhevKy6kV1maeZAyfumQYG50snJIVHjPbLKDJ8HjW7+vdZKN5wQ7ngQSCO9esDQ6IPZqENCsjkM3FNkkqRcSyFJzEYNcg4mPwq7KybId2XGRX1A0HlTUtmAF15eQboLyO2W5afQRQo6pc4X16K6pgmZGYn4ctEu7Dkoyo4rkxt0D7KatEjskIYXb74ENqsTbTukoVP3wPPz3qfnoOB0BS6cr1HwCqTt6NRwtIvj40WzJm98ugljJ/ZAekYr+u1i/N8E+I8//jhr3hM9pqmpiaUut2zZgrVr1/LNmyQwX3zxRXTr1o1f9LfZbMZ1113Hv09KSsLtt9/O0pgkkZmamsqa+P369fOr6vySYmx6H3SKy0KxrZoBM4FeyrYrg7jqndLqYHdruQhWDR3u6DIbczoOQIIufNaBwPremvNYVnwUVY4mZJkSMDd3IIak5YaB10xTAl4dNh8P7fuBZxJk0C5fyHNz+2Fytjj3Rt8tLNocU9f9SEMBzjaVYVBqe/RLaYsTDRX+dQaHCmaDG3qtD14qEA6fafQX8SbFW1HTSPyH4AUIVND+/3nPWjR7Ag/mXsmZ+OvIWeiXGhn0Nrps+P3+T3DKcsFPZzreWIJVFw5hRtuBeKrflVxfEBp1Ths7ChMFx6yNTTRfWxwAvFRD0JL0aJARGOFiohm0QE5XN2hZOYNmf67rNSDsewJh96xcgfUF+f6aOcqyf593DEtOHMfHc+ZidE5u0Hnzxf7D+HD3PlQ1i5JvJp0OU3t2we76Ela7kZ06ad05icn4ZNZcJBmN6JQczr/koyrx570qmu4n/T4ffAYfFwyr63WB5dyidn7QE4RmZzQa2CERjKNQSrxaARsK8kGKonLYXG58smkfAwNWsolAswgNfoDJTq0Rup4pCx7inKr4RdnS9nGJcDkdnFWLFlT8TM6nBq0Wix68Hnf+/XuU++y8DSokNTb4uDjRD0QEYO2mvH8b4NMAbdvRAlFn3s/bU0Xc11gzJ0HLU9Y2BdiUXxD0eY3VhmqrLfLAQAjMTtC2XGoBu8+JSh4fbNgTPNBRhkpSRXEGU22WLN4Hc6nI2zHVOsNIXtY2OjgydLzOSyf0wZ9un8YGPx8t3YnteYVw6Wh7EnwkmU6NGpOGdEP39hn4YeMRNPpcTH1j8KfXsteI0m04eN8E0UgrRp+FDv7umjEK7dOCM/iX9O+K9QdDaBLh3YGzBVV48vFF0Dd5g7KwBflVSCTn33Z6ePVqdobVOqS28aBZBVN6HO65ZSJmTevnv////qpxeOv77RGBouiTIC5H1KLGznrO5HfUxbEhXVJ2PNZfiO7bEi0I2DvStWIR+YAuDO5zMkSJ1aR4I3hClUZ2cvgEmCpJbkq8/PUWD1wyyA85b3QNLtb2p6Bsv1GjgSvk/FJCfvYOEMD0qMeeW4xP3rwFVrsTB48V86r79WyH/r3boV//HNbzj7xDrRucsY68XRSyiESX8qSYIRh1La9Ho4LPJSCfdPR1LfvK0GD1u3UH8dHavfAmitkTqgfROgX/dUXnUVlFAzxmLcaMFlkTylBp1XC0T4SbJD4byQHZB59WDXeKAa4UI1TyrAorWGnwxZc78NBDomfRrzF8Fzn4/71RWVmJG2+8kbPuBNb79+/P4J607in+8Ic/sHnV3Xff7Te6WrdunV8Dn+L111+HVqvlDL5sdEW6+b9EDXzirBOt5Y9HPsGZpjIYNb6o2V6TzgMT6wMCw9ukRwT3Tq8HD+z9HlsqzjJIFQcNaiwpOoxpbXvhb8Pms+qKMqa3640l8b/DC0dX4EBtKW+fgHec3o0d9TvxXJ4Vf+x9Dcrttah1xVYXosfn7pqT6JbQDu+MvBo3b/8Chc21fiAtoycq4KXaAAoNEz0jP+IIVOm0AkxEQ3GLY0/qG8oWxmkNbGcf+tvTDdW4Zv1XWDz9ZvRMDufNP3X0O5xtqgiafZAHIWsuHEZuXDpu7zKJ3xfU12FFwQmsrTiJM02iRBn13+wOffFg//E8eAqNanszjtYFVHSoFiKWky7z9JVgPop2dkQCVYMWU/t2QefkVNjdbpQ2WdjluH1iIj47fIiBr7ifgaC+83m9uGvFcuy643esPkTx/Pot+OJAsNkMrXNl3mn0ycrAk9MvwaEqkeKiFzRI1Biw/3wZUrqbMKJte+QmJvH2w0AblQ7oVEiPN6NG1cQJL0EvwGf0QiUV3PpBPu27BmiflIhbhwyGS/Dgxd3bYnUCZ6Hdeh/cmWKhHx1S4nwT9YPpb/Jp9/8Z3EbFvtF+XKiwiNnMGP4u944ZyeCeoktWGtpYDXCWRCrEDkSj5d+kBwDIy68AyMlVOWZUCUxFkXm7ynGUP2KccESzYbUneSFJ5Yb6mJSIuFBYGaQKZQspjiRnWC3w/IpNWHfkjGh2RBFp8EYUX51I7aHQa9UwVoiym4pJnKAwVbnhztChY3YaBnVtx2B2X34ptp06z4ZSMt72024EAefL67B+lyQDSzOjEn3bofKyxju1wU8fkmajtFzhSAWjsWlxMhWFQP0d00ZgzoiAGaMc0wf2wPOmjbDbIw8QeX8FAbpqD3RN3rAsLN1XyL05rsyF5s5Gphew/KdR4HO/TVoCPn3qOqQmBYsD3DhzGEb264glm4/iZGEFDHodJgzuwvUn76/ezVKdJBnJ29KocPWVQ/HAnHE8uKDC4A2/fzt2cbxKxUBS+T49Ix7vPjufOfdEywnqhxE9sWHTCb7vsYymJPWpHOBR/+vJwVav4sGMeEOlWTkVtE1S/6lUuOuxWegxpjPueeUH2Oyu4NkypnL5RL14qf+In37vEwtR32iD2ifwulQ2Dxel9+7bTpSHDKXPyA/pCBStsOoigw7eNinQkAO1whiLwHF8bhpqTS2D+6D1teJeZjbr8crXm3HgFA1OQlS/9KJrMrl0U9BxPnayDMMGio72yvjnlz+zg7Yv2QhvhkQZDHE/Duy4gP0nivFrDt9FgP/fG6RhHyvopv3MM8/wK1oYjUa89dZb/Po1RLohER8Nu5+z398Xr8ZZ64kWf+PzPx2D46Wja7Gt4lwQaJX/XX/hJF4/vgGP9QuXCq1yVqHYdQoZ4XgVW6uOQq1S47oOl7TYLgLknxSsxe7ak1iQMx7LJv0WP104hVWlebC47CiylzHJVitRdsR7bwuZaqhwX/8R8LricaKhkjn3wzNy8MTeNRF/S6Dd5fPgtSNb8eGEBUHfFTZXYVdNbMfehed34JLUAfjj+vXYV18MVaJUBCdtyuXzYsn5o9hWkY/FU29Btjl4StLmCX5Ye9waVtCJFaSmo9gBQhhoVQgqHCurwlNbNuKHk3mwS1KCXVPSUGuNrEPOPyNes8uFFadP4eq+/XC8ojIM3PubIwjIq6hCRV0T+iW1wdM/bWTDIZpBoe+e/mkTfjdqGF6ZPB03LV/MGWQlXYOWo0HE42Mm4L4dEjWAno1EL9IJUFvJ1lQE0AatmotmrxnYD2tOnME3x460LJ9B6zJKQlIy7ztelNY0VosAiAv8ZD36WN0ZxSFX7DPFPtnIKCjES0lJmZcK/O4dPQK3Dg12Pibt/pKyuqgOk3SPa0PyhxIAKalvhN3tQfvkRMQZYs8cnSiowD0vL6JJndDGi7x72guZXkEYSYkXlM62Ie8JMCpVSQw1IoWGmT5a0ZBMyYUgPry8Yn930h9e4IeNR4PMwQgo0iwMgTmil1DmmcpuuPiVVZZU8Nnc/JtYQb9PcKrx8h2zuA89Hi++XLM/6vLU/2dKxEF76CGnS5BoRQplAj4WxCunWorpHTph3U95MWtT/vL7WejaOQsdM1Oi0v5oFuHDe67Eza99G6YgI4N7om8ZGmIo4lARqw/om56OY9UilcJs0mPO+H649fIRSI6PPPrslpOBx24S/UIoyMfi52OFuGXqUJyvrEdynJE1+KcN7s5yqXKY9DqkqfSoEYI9IQINEiQ9fMX1olGhf5/26N0hWAFPjqE9c0D5Hh8VBfu8rIajtXvDLn0ez/O6A88/e6oWrlQ9zA0edOiSidnXid4Mi166BT9uPYavVu5joE/FvVqnL+g84voUQRDBvd0DQ7VDxMN0/F0uHN1TKCoq6zUQjCGj2CgFzFSfQMXeNEvgB/tGPdzdMvGHu6fAa3XBFGfAsEm9EZ9k5kz75be/C6crxgkuGYjR+lyJGnHwFEX5iQZhnbpl4sBpyWwugteB2wiomyThEVp3hONIfbZmY15E2dKIoVLB8d9UC3Yx/hdz8P8vBF1oA1O6IE57OR4/Fhvg61Ra5Jrbh31e57RicdGhqA8d+nRhwX7c3XMCEnQBNEIPrk8KfmKA5fKo4PDoOKOsVXthpLuuSsCGikNI1CbD6dHzDZH48cSbJ0pR6DVP2znZWIxnGr9kkH93t8txRW4/v+7//Qfe988EtDaxSu29tusY//tPTu1ViIuHB7VxY9lZ1DttSDGYeWbjRF0V1l04AoEAXxgCCoTFbcdVy75EjdUNdUowuFeuv8ZhxcuHN+GN0XOCvmtjTuAsOk3xyy6+Xq8qIlVHzN5TLUlA+YH49a1xWOXfq8lVthlf5x0Jypzn19eKPcO81ijgQq3G0YoKBvjfHc6LzaOmbM7u/Uzd8XOTpWWJavHOjj1oaLbjvUmX44vTh7Gt+Lyo6KlS4dIu3fDwyLHomJSMxefzsP2CJI1Iz5Y4H7xmKuQTebkLL7ueuByY8vanaHQ44CNg2Rr38yj0HWcaYKwQO5Ye7JTBijVgYJpQjCAwSwMFGdzLx0lrFwtDia/N2XKSyTQBWokXrozLpvXHzn3izErENggCrpg+ACuPncK7W3ajoEbkkRu0GswZ2BsPTh6LZHPkAtyXv9goGi1F6A4+HuS9pBadLn87awTWHzmLuiYbfE4fnFU22JPV0Lh9nH3XSONUAt+UzXYlS5rZ9eL+yuslOUuS+5Q/oP6JqGJDRZs0cREKTGhGKGACyt+xxCKpDOk0uHr6YHy5bDdaE3dMH47O2aLZWX5ZLeqbwt1mgyKUWAyF63BoTYh0HBudLmiyjEhNiUN9vTUiF3rG1H6YOircIyBS9OvQBmuevR3PLlyPPadLRKdSBsmA3ipSbchQKtYdgY7nsJy2eOu5a2Bzuhmck7lZa2P3ySI88dka1DXZxboE6dq+YmQfXDUu3PvjpmlD8cby7fAZNSFdKCrvmELUhUi1avas4IEuxdnSGqzcdQKl5fUM7iEde7U3GIjHCqIjQa2FPsuI5/5xnf96S0uKw+1XjMThXYU4crwFZ2WvLwjcK4NPA/I3ICdXgzydI1O9gpcm1117puieq6FZNJvYD0RfIY+TxmQdrgqh3pEE5rxLB+LbFfsjs36kARP1K9U1UI2JW+uDrllyZpcXk/5NS49HfmNjkGZ+8A4xPw1CcyNU5jh4PQKWrzoES6Md8y4bhPbtxNqsiqpGuGINOiK0M6d9sNHgry18/wcy+C2Tuy7Gf1t0je+ATnE5EHwadox1+9RBF70aakzMHIU4bTjq2VN9XnJtFaDXepgGQy/6W7aJcvo82F8TPI1W7qhDfnMFaptNqLXGw+rUw+bSsXIPaeLbXFoG/V+f3yFNcxPdhnT2NXB6tBFvSvIgY1HJNuyrC/DRc8wZ+GrUo7in2xVI0SVJ9JXYfULrGp4WrGpTZW/mB1GsEKTl3jq6E8MXvYO5a77Ee0eOoromARaLkYvrokWd3Q0VadYHC24EBQHc1SUn0eAMplNQ8fOCzgMUoEEFu00Pr0cdBOp5HV6VKJHJkhykkKNhSUwhnpxGRam6yPsmcIGpXCQZSotRbDrqOuQMIsX5uvqY4J6+qZR4+dHi68NH8eA7y1F32ILn+0/ChutuwaHf3IO3L72cOfr04H13wmxMy+nGyxP4J7UlamNqvAmfTV+A9uZk3PbNYjRJpnMqSYUjZsNk3nxoSPx/doyVs3+yOksIoKO4ekQ/pjTQQCd8M9KAhOoLJcwYOghjR2GHCH7ZdVcFvLd/bxg/f/SwLvyKdF5R9m1An/Yo1dnxyKI1OF9RL2qcuwGX04sf9h/Dtf/8Fo2yVrUiCspqcbKwMvrMgPzyAY9fPxl3zhyFxX+6CZtfvBOv3TALxhof4i94YWgUt+dvk0dAQqmAuAuEMKTiYmWbvUSPkTpS4t1HagEPCiIAKJkqoMTT8r8ejw8bD5xhTfnWxMr9p+B0iyskmsm/E1yIHUHRRA4CTsv3nsAbL1+DoYMDtAaq8fBk6ODpacbiojOY+fTH+OdPe9FkDxfnp7at3X0Sd/1tEeY9/gme/mgtZvbvgVkdOsNc6YOpUoC5njLVIi3IkaEXDbRaCLNRj/SkuH8J3Oedr8C97/yI+mbxPkYDFlHeV8CK7cdx81++wcK1B1FBFBMpevTNhitJwy62lGRg/MPyqyp4zCq4koIb26FnJprg9p+bNAh97rN1uObZL7Fww0GuGQkNMs+KFXy68WESr8RGtwcbtoa7wnftlBn9WSF9rG0ST9pYW6RBq9rp5dqKUGsavV4DR4oWlo5GPzWLzllnqo5fXpOa23nobECDXhm/u3Ycxg8X74v+tkr3Y5p5kOlgLE3KzrNquBM13N/Kez1vJ1XvP5ZRg9xz0xOkomagts6KH1cexM13f4rdUvKBjPGCuorvszEe1ioVrp7zXy/VfDH+a+NiBv8/GMW2KljdJtS7A1PxdAmbtG4Y1F50is/BjR3nRfyt20fmUT7EGYK1linTbtR5YHPq4PFp8Kfdq9DkXM7Fold3HYhRbdugwWpmwC5vMdgRV8PrCA6J00dThl4NG2pFCg3UWFLyM4anBURyDRo9tlacQ5nVAR90PFOgJXlMVeTfD0jphC7xwQWz1PaohjeBpuPto7uw4nzoTV8Fh0MPj0eDlBRreHbeTUVsKuaCt6R+Q6C4xNqAZEPwgOuRgeOx8vwJ1LvEYkp5myqnj2Uz1S41EtXxqPFZAacaaocaKnKvpYLULCfgUMNrEKCxiWo0SjApA3aRNhG7C6TdjYi4KPM+vkMn/jvZZAwy94oWLc24UIFeSXUDXlm0BXdYRuCey4KVneJ0erx/yVzkN9Zifck52D1u9EhOx5ScblxQ+97Pe9DsdAWmtuk4sOxmFKBPD3i3aEQWrcGctbcFHtIqu8gFZ741nfIaoH/nbDx1xWTcYWnCfUtWslmTqFYl9TY9PGmgIFF9WFqRsswRa0SJoy1OoRO431FchKldugaB+L/8cTY++WYHlq4+xFPhFFTYedn0/pg7ZzAu/cdn/gymf8+IYuQFimvq8c+f9+HhqaICiRz5F1qh2U1qW5MGYe5YcUZNjsEDczFoSAfszhczncG0CPGdsY4cXCMfBpINjS8lCUoJICMyRSgSbzeWjx+dj+UVjXAnqNihVcduxhFXz2DnTH09vtt4CDddOgwd26byDAC5d0YNWpni1kbH1WeQL5joFxfp2Td53HjluQUor2zE3mPn8dq6nbA6nPBJA7oLdRa8u2onlu85js8evBqpEu+cKBn3vr4Yx/LL/ddcaVUjDh0p5n6MNNAhWhUZU5lqg+/tclDWv//Aln1bKmst+PlQARxONzq1S8eI/h3w/spdYsJAycQgOgvfugTkF9bgzfNb8OY3W3DZ+L547JbJePen3VwU6yPH3AiIwZ6uhqFBlLX1JGlx0t6A+95ehvbpSXhkwQTsP12K5TuOi23n+7jA16SSukUAmTLg0UzImPEVUmz69cJdmD9nCOu8y3H59P5YvDLYgyJ0RRrJi6ClIP13yuYLkvobtW3udSNx8z2TMP7+d1v4cbiHjxw6nQYvPHIF9h8twjufb0F+QbUoD+ryiiZp0nJKKU1WJYoPdpSloFmYlnck7A+RIiZ48eQLP+L7z+5kl+QOOakoLq0TjwHdf5ivFPmh2Ld7NkYO6oxfc/j+D2TwLwL8/1CU2qrx+wNvwu4NzvjQ5W3z6JETn4Nn+97DADlSZJvi/eA+EhWEVGua7CpU2eycOT/fVI+/HdqCNmdNcMmVZCHBRlfK4rqwEN1tBSEg66kML3w4ZQlWIdhRdRq7awMGGh4fZTfIUEt8yMju4rTVjvGZeLbf9WHrvbxDb7x0aGNUxElZ2AFp7SOA+0C7CeDb7XqYzQppPAJlDaaooDhSxEdQ1EnUG7Husjswb+WXKHHWi/NihPlcGngcenSOT8OjI8bh7jXLAKMXoIw90VzJxdZKyJOeOmRYI8Do1cJNmSN+3BKHmh5+gez9vxPUPzlJSZjYUcxAzurdA2tORa9NiOZcHxqczZP+/uinPRjRI4f54+QwPKBjNuIkC/UuSWn8Co0VeafCul3brIYnwSfRZ4JL2FilhfT1ogRp71PW3n96Sxl/zojHU/+KH1e77fzwbZuUiB9uvQ5HL1SwvjvFmbpaLDl6wl80SndIVgaiL8nQkUBZlBkEWUc/0gP9dzePx83XjMLZ/EpuVteOmTxb9eDny6G2CVzgqQQE8ikpuIGFe4/igclj/M7Na/JO44mla1u8eVOW2W0AVh4+hcEd26Jtslg/QtvJyEmGqkAsso8U9DGp/YgAOMLuUhFkM4EuBWXHv+EoIE0S+ok5SUPXjQ6o7aNH1j5RVSWUq04fkLkS/f39psMM8EmG8fIxfbB027HIsxryjkoSrcT1F429W2qR1HZpEQJCS78+xR4HoQNkel9W24gXv9+Ie2eNYaOxlT/nwSYV1fqdhH0+6F2xNyboVXAmquFM0Ypa/lQLYfHCXOtFdnICRowWM8CRgvjdr3y6Aau3HxcHqZIST3pKHMpdNnF2gDlcIpCTKVhS1/q7auW2PDTbnThQEDkTrWxvU66W16U0GCitbsAD7yyLOCCn7LTeoqCdqEj6Uwt9oyeMisLjMo0ouakMq9WJw0eKMXxYAGh27pCBO24Yh4++2h6R0hJWFNtCiMXHPpbWvPrWsbjxrkv474Fd2+JofnnUJAn199AegUEY0V+2bz2NzRuPw2Kxo31uKoqqLTh/ugoaj495/GHdSlPooQA75MGbkRyPRKcLZfVNMb0KWMI0JNhd3ePDqnXHcMNVI3HLtWPw7Csr/P3DdTxaxUkhrf+SUd3xp3su5eTFrzkEZhREmMG9CPAvxv9vfFq4hsF9NA79qaYSLCregxs6BWfuKNw+N9ZX7op1PfP1qNP4YFecrLStamcT1FG4x5RtbimLzZQdQSWp4YRHqBHVstKDIXxvFdxeDWcQaAZCLQgwaQz4Y595mJjZD7oIRlYZpnjc3WcM3sr7Oew7yoqRiVWyrgV9bso0SQBfKbTgbDTwg04g7XZ4IHhJnkwNwSspvuh8UOvEGQeVQ4Uz52vRqX84WE03x2Hzlb/F2vyz+Or4YVywNCEjIQ7zh/XBnB69YNRqkZuYjFKLBT7ikYYEtX1s5w6Y2qUbnti0XpRt4bts1N2J2Bf0wJH7QQaJbeIT8NnceX6AOLlbF/TOysTpKpJrDW4L/ZacVa2u6FKQYseIWW3uR3qrBm5/5wf/17QOMkq6d9ZodggODcqWF9c3RtgJhXGW/5QJUGYEnjIPP0HVDnLelDLQiq9F51iRI69041VG/7Zt0C87C69v2oFVe0+KKpOhnGzuHHE9RNsJAAchqOC2k8JwLzRoGrxf7/ZosNjw9883Ys32E3wOEj6mNjqTCCyHg3zKAtNMR5LJiH3nS/Hw96vZ5disiazAxDKXyTQwVOHL/YeB/Yf5/J3cuyuemz+VKRM7jxXGnoGn3aUHfAt+gAQCwkCTJGb07z7++XglaFA5wojkMy6YagPgxJlMYFIHrVSoTsXg5N6r12lx74JxyCso52LaoH2T/QfsAaUfj4HOMcUINUYkmAzo0ka85s9eqMHhwgtRl6X72sbD57Bl/zlxkK/IyMrBUq4tbNdlBtxtjEHAym5QwZ6hw51zxjDwjBaP//1H7NtVAD0VaqrF7DgMKtRVN8NEqjJS5pxpRkaaPVRFzDbTpjfvPQtVSkCRKXKQpKzUn0E7KtNPwn9B6jhuaZbGD751NKDRsRMuZfN5QEjmuDo1BLooI7TRrvAykOPGq0YiIcGIVz9YH3AtJkoRGapTUbdBw5r70fZIrVFj6OgumDCtH6rKG5CYbMa4Kb2RlBJQJ7px+lA8/E5kfwECvnTOzBghetbU1TbjkQe/RnFRLQ+2iA514kw53KQOxLc3QtpU7BM8jUx9QKZY0YIWu2JiP2g9Xry6OPzZKHaq6JpNMwORvxZw9Dgl5UZi0rieqKltxnufbpG6TLyQPW4fcnNSMWfmIIwZ1gXZmcHyrxfjlxsXM/j/gbB6HNhefTQquJfj/XOrcFm7IUjWm/0X46aqtVhT8SP2VxMs0MW8+HUhGvu8juizbv/fQRKdYzOCzV0qHY3w/D/2vgM+jurq/sz2olVvliy5N7nbuNu4gDEGbGzTeycQQhJaEkrooRMglARCNc0YdzAGN9x7kXuTLcvqXSttb/P/3fdmts6uRL78Sfg+32Sxdnf2zZs3M2/Ove/ccwMiSyylBFQyUpnR6XwIsDVAQCfoMDU3Nikr3H4/cALMGh3eOrQZNm9o1aNXciZeHH0Jntm5NiG4Z6sPfp7jQFv5Ayr4AwI0Zi+L7muS3VDrpN+biLqjgtehRcCrYn+rTT5oa7R44dv1OH9AzyBYJjvW2IC5+/diU3kZa39cQSEeHz8F/TKzInrw2gUX4dpFX7PCW9HKM6kGA56adB4KklPQ6HTg9e1b2HcydYS2z0uyoNZui3ucdD29MnUaDtXVsz6ZNFpM69kLl/TpDYNGG4wsUUXMf15xKX6/9Dtsr6zgqwOEdQJUF8eIf142G6+u24RtZeXK+5L41xQtZ98q4CSX14dP1u5i1IWXbrooBkDsraiGR0GFwWehQj5x0CFRcIwBqBzkjIVtQFrmoRpHIZOwPgEaAuV+qi9Dia/9+INXtgaHA9d8+hUqKlpYAZ64t5WMVyjazoCtlCjoBUzlvEevzl+PIbm5MKk0jCM96Zxe6JIbAv2tNhfufOJLVNS2RNEkSO+dP4w9qVF8/wDJ5vKp+t3123mBJwK7aSKMDZFgmv52ZkpSlkIUWDtyEle+WYfaFht0Np+iYmW4kVPqkcLu8agyRGUiWhQliQb7QaAsioLBtqd6D+1Q5QkcEV2NjLjddSMMLIFRTZVi9QLjHZPzazkjOSEqARrJgaQo/j8fvhoLf9yHT77biRYp6Zb1g+sHBE9jEGB3YPXumklDmANBdqiMS+4mMjYujOZAAgU/3Yj25KVCVqx/sdHbl5dvxMQRvZCdElK7ke3Nt1ai+Jsj0LFiUyqIGhVTeCFwyygucsIoixCT/GeAUYVIrUXpoUDng6raknRqItNTNF4MwJMWBSnYRa58lZHj4deJrH26LpjCkk4FUa2G1qaBoaX9vIrFry7H4KJ8pGZGLiNNm9wfr37+Y2xuhkeE16KFptUb1wkN+AO47PqxGDIyPgVl0pAe+NXMMXh32daI+gI0X1NV7b/9bjaMehKwEPHEnxeisqKJD4e0HVWEDT2IBebUsGeTRpK7omubnDGXn0uJRp0b2menrBRcOmkAzCY9Fn6yDqVJFM0gR0sqyKUS2DVI5ybRfR4+l1456xwG9FesPoCK6hYkmfWYPKEP+vfJ+7cUhfxvsoCUX6j0+f8WOwvw/wPW4mmLUxAq2gL4rqoY13bl3OZvqxcycG91G+D0adsF6ZHf02QisghvvIcOAWAhsTKfRCKK90SkBNkeEZ9ooYfVapKWvaQHt4dH05OSXAzsZ+hjH1SxxyLgzqLRuLH3cGypLWMgv1tyOgak5bLvMgymdnnlRA2iROGI/qW6oZIcjXBTaQLQJ7vhbtUj4FMh0KqFyqpCHWzYeaoCo3vyolELjxzCH9aQKlFIaebrwwfx1aEDePG8abiiKOTwDO2UhyVXX4e/bd+ClSdL2PZ6tRqz+hbh3pGjkWfhFIp7R4xGZ0sy3ti5FeWtVjbhD++Uh0t798PTG35kEZ+Yo5Q+2Fddg6emnBczGVPy3ycrd2HBpv1ocTrhTpfkDqUAESsSpQbqfA68um0zHpg0Dtd/vgBuny8S5Et/6lskbBRNII7q0sri47h6wmAM7xGpBHW4ti4GW1EisZig+mwwqk6ni9EBeAOhhM74NwTbxgSkmU24fGD/iNyEGxctQHlVi+S1tB9+ZnQaKSKmooq9EpBVuUUc3VOFY2IVTwYUgLe/3oTzRvTGE3dMYxH8z77Zgco6Ur2IPTQ+riK8SSFddfpvslEPnUbDCnptOXkmOGY+swBXQGTOjdwe07BnFUBj+00gpKK5ldNejAL04drlCsCOOLlHmhqZKoqij6fiuvgM0Ou5k8K5TBz4E7COGEpyVqUQutLw0v2bW5iKVsEacR8zIBguJMSiuXylavKwXhFUAQJVV50/FOZ0I15+83uIJMWptEIQh3oUbYO6dcIdF44Kvtf+hITW9qht8XrgNYWDv1ijFZjFWw7iV9NDVceJRvLCIwuwfvm+CP+UQL7PoocANdRUDCoMLAZbJwfYKcJP+40yCghYoIGdADFx7I2xVBk6GKowTNFxUsny0z7aGwPpX4po+42CfNmEVcYlb56vQCje1xSZtrtxfG8VHp71Kt5Y8yh0YYmiRoMW54/pg1Vbjkbkb5EzKqrUcGcaoG9wRZwHWhWh/IbLbhqHLr2VJT7D7c4ZozF2QFd8/eM+HC6rZcpXU4b1wqwJA5CezD2iY0erceSQAsWJedd8z2x1gjmiAYikwx/mrZsrfXBm6eGzkKRXaBxGDuiCx341jYF7sr++eCN+fdFzaMk0w5ukg+ALQFdpBdJSEEhPinst0cfDBocKIJJlZiThhqvGtHv8Z+2/384C/P+AJWup5HNHVocFnLHzZLoWTxO+r1nKklxLrDwynCgSz1b9vFxcmmQiQ8Va+Z6VfksRda9Pxag9ceZUeH1qGNTeqN/zIzFpXXj5+N/Rp7o77ut9K1SiHjsredJOaN9yWyLa2gxITXHh0s4dz8anSPSU/NgqfLO6FUVUlFXoPbT6yOQq6hd563GqofMiYGYPXFZSS+AghjjYtVZeuOh4YwMD99FOhQyI/7jmBwzMzkHfsEh+n4xMvH3RTJaQ2ep2Ic1gDBZGku3NXdvw6vbNnGojje3e2mrsqqnCBV17YNXJk5GRR7n/AeCzA/sxuXt3TO4Wij5Z7S7c8upXKKtthl8IwJ7HQWrMCNFTVgVsOlOGfIsFX990NZ5fsx6bSkNKTATidK080TJi33GMIk1Lth2KAfiUZBt9/YtUrak93EUY3EFyggKXsaQiS4nrSHG/IACkG0z47JorWJKxbGtPncKx6gboWOhecl0Th7t48TV0do+PAAEAAElEQVSzwLjzFEWniD71wRKW98oSdqUD/HHXCZxqaMI5Y7vi2x/2xlW+kU3XRu2GOjGpLz+XLi+POoYbUXq8Zp4kSYDaZ1AG99HH4DHz86jElyfnhGhV/frk4cjWxtAxybMH1SkjCgn55WG5+jQO9GK6+OT3GAANMSjCiuzKyZXyB/JlTP8O79MZhQOzcWLX3sT9l5VNBAE3XRgpQ2h1uHD7ewtxpKoOVFOI7T+s/16zwByjyOUT5cnYYtLj/d9eEUExG9G7oP0EdWmFKy5Vie5rilwrOB/s8JiTG/8k0r53niiPAPgfvPYDNizfF9uePwBNixO+VBOrVMouPYWmNa4AA9rh+6Xor8YRAFr8MIfTv5IFllgrb0symQTuqWltqx/+rDCAz7hAfKzYveriUqDk6FHRKr7SFLXURFHwWg80Nj98FknrNnobKlJVVsei7aWHK7Fp2W5MuSI0HmS3Xz4Wm/eWwuF0h0A+OZlawJNBldV4VVyKntM1r081wqER8MUPxezVv18ebrpuHEYO74by0np8v3g3aiubYUkxYfJFgzBweFeYAioYq9xwbK1BC/Hsj9uQ7lbh4hlDWe7Nrp2nIqoRh44h7DzQ91oVVB6iJdH48CKAYDQsAeZ6N0xeFe58lNd8GNCzEzrn8KrAsuX3zMV7qx/H5y8swdp5W+B1+6DWqFA0vCd2WmNVuPhQCDDoNUzmVck8bh9WrdiP5Uv3oLbGipRUEy6YPggXzRqG5OSO6Bn/d1vgbJLtWfv/YRatCcPT+mJn09GEUXivX8MquJLtaNrM/q13JoVoNtJ28QCqnZRcWNJsxDdMrlFNsowK86bDoYNZ74VGLykahAWTfH4VHG4dnG4djDoPLAaqtutmyjh6jY9zl4mn2nYajx14FX11U+FixZiUDpI/VbX+JMwuiHxI/ytGyiyDMnJxqKlWkVZC/dcpAPxEaIjx7jUiG0PRJ7BkV7VbQFYyf9x9eqA4IZYiIDB3fzGem8IrM0cD35XlJfj0yB6UtbUwxZlZ3YswIquAgXuy8OOQ/155+iQrbBRxiFLhKNYu7bO4OALgv71sM87UNTNg4EqXwH1Ux4MYhziqgoivDx/Cg+PG46OrL0N1axt2n67Ek5+uhN/Nr4uYH8cxerBWNbdiS3UZfqw4CW8ggIEZuRjRpXMsrupIchNx/30CtG3hF27wPwmte3IKemRw3WfZvjtxHOrw/YaBszi7R7eMdKh0wBFbY3BbUp2Rv482GvfS0gYcdjciyd3+yh2LhEv8fmrRpvPB7uEcfHJOWqJlM1UEWqXfKqnXKJlagCMbMNVJgCvs+EiNJrdfOr7Yux9aKSlVNjsVi44XxJbGLtgH4n/TigJ9HpDe63j0nRwSlshM9COjFk9dPw2ThvbE6eZmfLQzgQqKlNxLNIjnfnUx+nWNjLT+ad73OF7DC1pFZ4rTKgAD9+xAFW6AqD+fuu4CNhbhRvd+z/xMHK+Q9qFkstPEJhBpno06BkpO5pr3IRoeGzK28hN/jVS28GJFtVXNWPSJMgdbvsfUDjd8yUao/CJTw4k59KjrnsC9zhZ2YcjbUrKvla6ZAJwZKgbuDS18oOmnERVtZfOL0LpEJitLzgtbARAFaJ38CmdJ2vLx+AFTjRP6ZpJ7JofBA59Rw/j58sOIJDVpjtJK2se0CrDmq20xAD8/JxX/fPoavPzhauxmPHNuakkqkygw0GvYapPfqIFbyvWR7cixavzh0fkY16czdq87yrj5rNCYSsCKhbvQo18nnKTVOEn7n6yivBFv/20ltmw6jmdfuJKtCPDV1MhxITlaPg/zHVLKl4q092kfpLkgVzs2aJke/0MPz8TY8SF1OiXLKczE/e/cjqv/NAuLP9qILasOo7SkCZ0L01DhdEdSiVQCo5298ORlSLbEgnWnw4M//u5ztvogYwDSzv/w3XVYtmg3Xvv7jcjpFOlk/NJMPJtke9b+f9kdPS7G7uZj7OGvpILj9quZ+t4Fnbh33eJtZhVma60WtDRZ4HFxlKZS+2GyuGBOcUWAcZtNzxRvyGLbV8HnowI4IblKFhQhEFtnBJEVjJ3boNP6mbIOebpur4YBfDnK6fDoGd3FYhBg0bsZwJctgAAaPC1YULmnnTwDAUZYIgpx/RRrcNpRbrPCotOjR3I6Pj3/Kty4ej72NVbzBDf52OnYPCr4PGroDRQTp+V9Vbs5ELKp1AGma0/zf2aSCSO7c3WELeVnEvL+6bvNFWUxn7t8Xtzww9fYWcuVW6gFt9+JT47swdx9xe0mC4tGH3QWD0QqqmXTQnSHQAj97mAdCZVzc7g8WLbtENe7Foh/mhi8yliZqCuT33ofE7t0w02jh+KSQX3R+e5kPPD+N2hsczBNfVb6vZ0xpAfJvpZqXPvDPFalmIAJ1W9I0Rkwsk8+dh6vCkZDCRjKQDD+wRMwjD2ARPQchl3UwM6qatz0+QK8MeeSYBSfNPhZMSjp9wzstsPC6JaThu/LJWUoQVrVaEv8G+qDKqpYTWIKh8TVtYj4/tQJ1C6y4fMrrsBVIwbhnxt3xo0gc1WqEGBU7EhYoqMtD9BSoSsX/8KcYkCDyo0mKp5G0ohhibwM/NskWo5SuwyYyOBWimDLkWzKH5RJ/3QNmDidiOzxOVNw/lBe+6JnZgZuHjkUH++IjeLTTymv5IFpYzBn/ECW4xBup+ubsfFoacQ4RkfvO5KAVJidigdmT8S5A2I52G9/vxVHa+pl7B5a1ZD+zUlNQmODjfsWJCTg4UWs2LZyxV55cNRAWrqJzV9trU5YzHpcOLE/dtdVY8vRsrjSwHQP0UqCbD9+t587BfGuCfoPVYOl9uI40dGxDuLFx6NS0Wf6NhH6Jm/8a1kaZ7qftG7uyHjCEsjZ8FCSaUDEkJwcDBpeiDV7SlDe0AJbVxPsnUUYGjww1bihtfOVK6Ky+JI08Jt0rPyxq18nmIrLGehuaVC+AbvkpeOtx65EeU0zzlQ1Y8uGY1i5ZG+QCx/sh3RdRvSPzp/dy8A9ey8VlZPB/Mkj1SzyHjCHMtHlU7B3TxkWzN+Bfv3yeTGzKCM6TkBKqhWIf6/XwGMOu54DIrQtLmha3Zh95UiMPTcxuJft+KEKPHTl2/CQqo7kADnK66FPMSF9cCH0aSZodRqMG9UDMy4cjMwMhXL2AN57azWOHeHJ5BEMTVFEU2Mb/vLEYvztvVs61Kez9p+zsxSd/5D1tOTjnp6X443jCyIUaTi418Dj02JCVh/0Sc5jn1s0KahoSEZNlazgwiejgF8FW4sJbqcOaTmtbI4yq/VIN2fimFVBpSQikq+Gj5UYD64FBGd6t13HItaJQDA5EC1OI1qcJmjVPnRLbwpq5NNE0OiytXuJkZ7/T7XythY8s2stVp8pCfavZ0oGbu13Dg7XNlAIOvhwZ5OTdEwuqxHDs9IhUl+TMtHNnINXD62Jux9epEqA2uCDykCEYjWuGTw2WDAqYdIRaf1rA/Co3bD7PCxBWLY3irdgV11lzMgy5RsmjdbOAARUUBl4UpvK7IPfpoG/iQAr7w9xQdedKsXrW7fgRGMjXJ19rBqrlmpXdSTrT9o/KemsPlqCHw6fwJ8vmozrRg7B98/cjvUHTuHwmVrGR66xtrFCQInk4tosPOJM50rertXjwnbfGQztmo+9pTVSdInAuwq+pEB8cG+lxLHYcZej3fEACdFFCKjuPFaO6X/9CJcN7Y855wxA9/R0bNCeRkDNE1zlImRBRBu1f7quV5aWRCQCB5U62jFS/yHAriVFu3jb0D1Bkp5SdVwmFyqK2F1VhRUnTuCOCSOw4XgpjtU2RIy5HAWec05/LNrJNcfj7iC8vypSM6F9kjKWgEbRw/opt+2jCr0E2ikJkq4tFxdwdVuiryURahsY7YRLnMqDE/YP7dcn0XikaOJ1o4bg0iFFEV18eOpEZFuS8N6WncHVCjq+83p3x+MXTkGORTlnZ1tJZFE/KsJE1WFZ79TtKcFwav+sMQPw56vPV7y3ybH9cM3OkMNCGDY8yK0GUlKMaGqwcw60TXJc5VuKcGSUh9dodaARDjx82/m4dDKvIjuopAIbD5+OL56gUWPOmFBuT3NDG4tiy1QYxd+x64+i9wpfSlFxkg5lhy05JglHiw5eYZ8+SoJm31N+CqebUFssr0A+gKiOFVfWYk8jrYiEnC/KI3Hm6OBO1SD1qIO1RZ95k7UhWkuaCQGTDlq3D3ndIgUNoq0gN4293n5+eQS4Z48HltiqzEnV2Hidjrj3q5cSDwISnSb8pyKWLNqFz7+6Bzm5Kaiva42g6fBCeX749Gq+OhFtdF+mG+FJ1WHe5gMQv0rGpVMGIS8rvoKN3+fHH696G55GvqoQYtCKULXYYd18HDc+NhvX3DUl4VjZ2lz4Yfm+uFRCcnCOHKxEybEa9OyTi1+qBc5SdM7a/0+bXTAGKdpkPHXgK3hEN6tc6wlwnuTk7CI8M/iK4La9TcOwr/SY9C58uuF/e90aOFoN6JzTDKO2DU12AtfxJfsify+1xx780gRr0yJgiK3KGLnbUD9I+rK0KR29s+p5DpwARuNxOzRxA2YEKIrSftoEQRH7S5fPhdVDhbNCExAVU3pk2w/SCoME0qKMQEIXTQGeG38Be+/2+/De8U1oC1PliaR5SlFdFnUDhAw//lqxGkmZGlzfYwRTyzndElUVViVCk+qGYOC1Aprgxrjlr+LGHiPx26LJLDL+6ZG9cQFxRyK8LFnaqUagWQeR6ehTUjA5Y7TaQBVjBdyyfJG0LS3zAm4DwJQvKRrbETUE9oCWC9MAz373I4YX5qNPTiYmD+qB84f0CoKejYdL2b+xTXAJSZ8l9ljZsrYYQJcuKXhg/AQsPXAETQ4nkjQanGptxv76aoACdQRyGY4QoWkToK9XeBjKxHBp9MKjqmTUB4qyU/4EfUbXzicb9+CjDbsxY3g/dowBM9EBeM8EHyUSyolwsVV0o8tI0HuWDNgO0KcleYpiMmlAhego7cKTDDg6Re2XaEmCgPkHDmBm37749LYr8e6GHfhq5360uvi1O6wwD3dNHIURXfNxoroBhyrrYq4xxh1PAALpOqbDjjgMouaZOMCnKrQWkwG/umAUpgzthb3V1Wi0O3CwpBprNhyF3xNg3P54zDd2DwVoFcyMgQW5uHbUEIzuXhBzPdL728ecgxtHDsX+yhqW6N0zKyMusA+OL/GXw847OSdEhQmv1JvISN88LckU9/5Ytf9ESBxBXqGIWiU4WlWPP105CW++uza4GfsumKugBCSBFz5YjZzsZIzu3xXDenbGHy6bhJcWrouhVWhUKrx2x0xkSDRBsoys5AjQqmQMyApKCbJiqGqqvJob+jOxRW1E/Xvtscsxb30xNu0rZdcb1a3wM56X8rFTnwJyPYIY8C+wpGB7gZ4p6niTtEGnghwHFqSyGKBytOLCG2LlpJWMVldijiFeAipx89srsMgodQFGrYk2kse02Vx4+i+X44HffQ6HzQWRePZSRJ9WJAxGLVxM4SDOiKvUcFpUTBXqk+U7cfvsMbht1mjFa/Sbz7bA1cCDetHfsvvC58fX76zGlXdMSiizevJEDbyJCsZJQ3bwQPkvGuD/X7CzEfz/sE3J7Y8xWY9hTc0hnLLVwaTWYUpOf3S3ENk1ZEtPlAVlJeOZy6aHPo8/zdRE1P4pRpu7QtwEKtI0p/MQLKqIoozEnflJ316DVhfxhF3suZFscMPqjK+vRm3e0Gv4T+rmi7vXMYAWTWERw5RYwh2V6P39WB4qk65Xa/C7flPw7P4VHNBLiZaRItWhduRPny7+Hv1Tc3HjwCH4/MC+sE1FaLOcTKM8fP51+r147/hmVDqs+FWvc9HmTVDlhnImfIkGWmS0KX+5PK7SdsTlJdkvQUSZQ1q5iX6WU2VSwoNSMq2SyViZADElsspGSXS//WgZ6ptszEmhYjvXTRjKXjl9U1G338EAdKiXXFrPlS5CcKkgmgKK5+Pb00fx0viL0D83G3/6+nss33eMAQODoOHVFjWAM8MHlR7QNSl3mjkLOq7AQ3rcxNFngUi1pObiCckzykckg99vdh/BuUWF2NB0Br4UQG2XZBWlSrKiWoRfKzKgwtpQ6oKKjhMwNCQGRkwdRy3A1hkwV0krBjJrhGm8A21Uiyz84qHgIAWx1SIqW5kHArNeh/unjse9U8ag2e6EXqth/HzZ3r/tMjy77Ed8ty+kIELA8OIhfZFiMGDupsjaFEFqHzEm4jzXCaD61EAL3Lh6Mpe0nZbaC99tPYyVqw8HzwOrJJzAgaT9XjZkAO6dFln1WMkoEfucwnx01AZ36RS5+CWE8gwYyJclBOMYqdP0L8wJyrx+f+AYdpUSB1nAiG6d0dBqY9Q+opglMo9c2IocVKmOHdO+p0rNSvoF0sLpvS8tRG5BKp6//WJcO2kohvXIx1cb92HvqUp2/ogydPn4QchL52pbsvUuykvouLFv9BrkdstgCk4E7ijCLFNOWIVaHb9nmFQljxm0D/LDdkmOyGN/moFRQ7qxV1lNMzbtO4WysgYs2Xgw7jXBaVsJ9iQIcKdroRLVPOnX5mVqVcFfZKSiR/9CDJscuQoUzyzJBrQ0hwUjfuJjUtES0ClptaVHzxw89OB0PPfIAvjCgDN7VNXZobboWA5APKN6FHLh+X8u3or0FDPmTOGrPeG2ev62drvqaGhFY20rsvNSEzq6HbFwqehfoolnOfhn7f+nEXXjtK2RFWqanjeYPTyUKCxPbV+Dzw7KQDL+4r7PpwnKURIvXiUE4joFkYVgIgE+ASzSXH9u1CWY02MQ5pbswO76M2j0xkZpo1oNAnwym93AdOSpUFQ49VWOst3QaxgmdOqGjprV7cKKsmPt6N1HhW+jLDqqeVmXoVhUegjFDdXBY+CqQ7G5EcGjFIGn9/6AxeffzrTt71v5Hf88yRMD7oO/IZnTioM4LzdSg10Z4McH98xaNIorOazyLSnRJHg6MxlKp1QsKtoBCPuDEiCDLVPSpAuosluDJJiqlla88s0GzN28G6eNNiBHAtLkuxBI0HMtdra9WwXRqKzM5PL7mMTfbz5bhp2lFaFzJHUm4BOhr1PD1ckPZ4Ef+loVA+FyPxi41/JIP3uvFoJ/8wZi9dij7XhpPZ6fMxXv7d6FUk0zFzEnwEQ0DIkR4BdEqNyApkWAplVSgpGi8rRC4MjlqjSMbx01pvTelRGiiBB1xNqDU6ZuHDwYR5oasKmtghWmUjICiUnlgL3Rju1Hz2BUXy5rR+ou2cmxUe0kgx4vXHkhHpw+AfvLuW774MJOyEjiTuGI7p0ZyN9bVsVALYEHOl/koJETk2iswmUiXR4vXvqCR6rbi4aGb9Nka28e+desf+cctjJwuLI26NgQrcPeSTo2ql0QB5PQnJeRbGIgel95Ne7+ZAlaHC4GXMkW7jqIJL0OXrE9TXHg0PEqzvcPSgUR/UW6H3zK16N871XXWHHLi/PwycPXoKgwB09cG5ugH24Omxsv3v8lV15RcF6oXQL0j756DcZM6IPdxaexcesJuN0+lByvQWlJPTzpoUEhcE/9JUqNltSq4h4oReZFJv06e+oQzJkxHJ1yQ/QRqv3QJXc4mlvsWLLpYPwDYAXt2smLkOhnOqs31kHSqHG0wY4vPtuC624Yh/Zs2vTB+HretqBDxNoiR0ehkBZRd9pzdNh3caLheZ3ToDdo0Wp14JUnl8Rw8emY6PeaNg+nSEUldActyp/8aOk2pn8fDbDtLcTBTNxXkXj57dyiFJWnxHennOirYHTKhgznldF/qSbGoeicrWR71v5HRhrurx1eg0VlexnAIcsxWHBHn/G4ttuIiOW3J7evxhfHiuOQgmNN/qlKJSI7uQ01VmXOHovayZFuApRtpAPJkyApyvbS1AvZ3yOzurAXga6+i55NuG+6MSjxlm5+u1OPRmsSv4kockXcfGn+6pOajdv6jsScbgN/UvGMakdbu+CeR6GUk8k0ggqjOhVETLC/27oU+xvCi9cQDzWUfKy4DwE41FLNItkzevdFUVY2Pt1fjPn1W6FADw8aOXBbGk4iPykZlTYejY0xSsTTBaD36xj44jSk0OqJhpKZ44nF03wvJ2iqwssfhG1LdA+KXIQYLZFNeDmPOvgbOYIcxXCX/66kPAuJ/s8ilgp1FFhbdI1Rhdoo65acht1lVdh+KqRyEfFbKWFUa1XBkxWAKz/AHA6VizsomlYKOwtB2UR2yPJuaJN2ACuZ1elCD3MaVt90M+74djHWnA4laob/OJhsylRi+BcqD3GMKWlUREtviswDBiq6JTsoOh6ZD6q3yOOsUqFP72zce/W5GPrWO3HBPYvukhNhBHxOP+55axH+fu9lGNEndB3Hs0yLGVOKIutSkE3p34O9Zn/4OQ7WhhKy6dmfiM5CYPe8/iGJ2vXFJ2ELqySqJknFFJIDiT/idG5yU5UT+/4d9vJ1F+HGd+ajoc0ecuYJsEqMFjmfgH0s91slsFUQor402hy4/cOFcHr4vBye6Ep1COh8krOgdITUzrCu+di4j/jzUaBVpr9QdJxF8xUakK9fbwDPf7kGn/7x2naPd+3SPWhpsvFrnhxIApvhUpeiyBI0x03kgYURw7qxF5nH48Prr/+AxbuPBJ0Q+dx5zSrGEVeSUaVd+VJUuOCSQXhw1rnMoSQrr23G+wu3YsOm4/DbvQyAUi0FcoyoEvP/pLqimirPJsCmH324HudPHcD47olszuUj8MOKfWhtdSIgJcuqPAEEDJFVZPkXFCzQQO2SCjoojANtwzj8ClZeY8Wdv/4YU0b2gNPhTlg5WuPwwZsSB+BHNV/XbEPJmQb06Rq5yp+dl47qU7y+SDwjGlWWNEbkcGz5rhjL5m7E6TorDEkGXHDhYFx+60TMvGwE5n++RbHPRAMdPqI7CrrEVnQ/a/9ddpai8zObw+fBjRs/xrHW2ohocq2rDc/uW4EqewseGsg54gQCCdyLcmRXMUNKNhEWs5MBe9mykuwMYNe1WsLmJw7gR2QVYlR6V+woq8S2sgoIRi80JhdyksyY3qUfirIzI1onsN8rOQsnWusTH59bi7rmJFTWZTC1HtYzvwCRKfCI6GROxncX3Y5/xVJ0IbWCxKY8xdHS+k1FoYq5exsrsboykXZ+fKNT99Lu9XhkxGT0SEvHkxOnYP7izQmXfIm/W+1sxa8HjcKjW1YpbkPnZnCnTnh/yhx8cnAvPty/Cza/GxqTDxqTF/5qYxAgcK3ksD4RN19DmaqRBG+imgheUgHiXIAkvRazsvtCk6GBRxVgD+Cq+lasOkgc4yjetq9dZlYHB4wQhZQgS9KBVMhGAG7sOwzf7T/GKAjkMCnvQmBRe2SGAV5yFsiPcXJKTqTea1hyZ+IFjaBRMvLzuzdiTw1Xjohpi/xTlhwbxReX3pOyD1F8hN46vH3xpUgT9Djd3IL7l37H+dFRlYupcNUzM87H53v2KVb0je4DRdgJnNKc8dLXP+KhqyZh2a4jaGi1IyfVgktHFGFot45Xm9xTXhkB7smYc+aMlOANHSc/1pvODVHqqhtbIzjietJAp3wPigjHo2SIImYO7xid4l+xzukpWHTf9Zi//QCW7DzEALtT9LGEdDou4uWTE8MpOxQAFnDFuMG4YfIw5Gem4G+rtjBwr5Qjwz6TEmyZlGkEFqR5VYWDO8vZilL85T+pyq8CS0/m6dOeD52sQXVTKzpF0XGibcvqQ6FuUCIqXUtcSokrtIjAge0nFX+r02nwhz9cDNc/1IxqFcbIY6tNznQ1O6cRtQQEICM7CR+9fjNSk0JLZXuOVuB3f1kAoYV7iIwiFwjgVGkDl4O0KINX5mxpE1yzTHgA0Nj9iSPpgoDvV+zDTbecm2ArICPTgtffugnPPbMEx4/yVVsVUQE9fohGLYvsayhyT9XD/SIGT+qLsh2laG20x6zMEfD2JVMRsVhZU7ZapxZQfqoOXx6sSgjumV9FKkdxjEnLRpnbGyn5TDbzlgnYv4kr/igZdaH/mF5srDxuL5648e/YVtEAX5YFSOere++tPYDPvtuD11++HuVlDdiy8TjUahLk4PKgND5du2XhT09cil+6iXHYVf8O1tZ/i50F+D+zfX5qB45Za+Oq03xYshWXdhmC3snZWFF2NCR/xp6wMnVBearLyYpUzfGLAswGN/K0fqZd76MZnFHUNdhrLUGtpx5/HnkRWpOqUeZoYQ+oVrTgy/LNWFi5Hc8NvRzndwpV/by623A8U/y94u7lG4U09isa0yEqOCMk81loSRxhSWTkHAzLykNxfXXc8eMqEPyBK4NVzjcO4MaioTBoNLyaryBgcekBCF5SEqLfCJyWow/wpW4F+dLwYyXq0T/378Zt/Ucgx8RpEik6I5rc8ekHNL5Z+iRc12cISq3NeP/QriAXWi6e0yMlA+9OmYWAEMCSmmK4zA6QoKda5wPcArR1aqhsoVNAYMKXJEXPiQajVCyKovr6AOBSsetpat9eePLCyKX/0oZmrD5UElMll0c740NkmZKTyJgsqVUTweknZyQn04Srew3GI/t+6MDKjHLVIPY2AaOJyxImNvr+6W0/wh1ZTzMy0ZU46Baq2EnL6sot9jVn4J83zEZuEo9Q9yzIwldZ1+C1tZux8cTpoGzrpN7dcd9549AjKx2/Xbyc/9jP6TEsgTeBH09Y+mh9I277+8IguKZ/F20/iKmDeuLF6y+KW221sdWOz1bvwZLNB1nxsyQqWJXEE3t5wSGuSa6lPERJHUYOxuvUGrxy3UXomxdSKyGAJ4N7xo/2AOZaPzzJKqloWew4jc7OY/kb/z8t1WzEnVNGstff127D22u2RazqhK80kQDjkL75DNyT/XDgeDtFrKQiRGErRszo+Gt9CLAiFQkAvrQQG34pM6ARrsokfVjXYmsX4HtcvOhgePNc/iv0GRU9imfWVieMjIuskLOjEeBK10h5LXxe8WsFGOvsSAqTKCWq1kOvL40A9+H9YauCVEjLEFnCVz5OlZcCE3HGjJxhm5/x1duz6moSeG7fOhek4533bsWJY9Ws0qxGq8bwc7rBnKTH2vVHcfpMA0xGHc4d3wfdu2Zhxn3vwXnMD0O9m40DK/aVoYMzx8CkZqnaLH3OSJJyIjMlGNMqhsMLH/N3250kI9+SqIDdA8HlhbaR8pm0cGcbIerVDGgX5sYKaIyeNggFvXNRfrxGsXlyXH734tXs/ScvLMPWeiv8BO6j+ubQa3DvY19h4af34OKDlVixbC+qKluQlm7G1OkDMWFyP+Yc/tItwGby2POSmIT3y7Jf/ln6hdlXpbsSSk8SCFxwejceGTSdcc5Z4qQsSExqBF5pkgxrg34zrqcWbfpQARwC8zavLphwm2TkGZDy3N9sN6HG1Ypfb/sSWnoYSxFm2TwBHx7a/RXmjrsTA9N4FdKJuT3xdPjDRF52lj7zOTUM+BJQVjJ6cF7TdzD+J/bg0HNx/cqvFGn29Nl1fYbiyh6D8OGh3dhQcRo+0Q+9Wo16px1zj+xlr4KkFBZFX3b4BHxOerLyp45IETCvmk3a2uToar2R5ndr2P6+Pn4QvxnCC6xc1mUIPjyxNS5YpfG9tHAQm+z/PGoKZvfsjy+P7cPJlkYk6wyY0b0vpnXpzZIL7964ANWOVulaEZjeveGQnlFdwiclenjqmgFXlgjREOe6kgaLQJfKK+DB8eNjNumWmYbXr7gY9y1YzlVlpGMgcJ5oulN7BQgeXs1VcUMmJRirakSrCXX1Try7bSeyU4jK1Y4KiEo5rExUHRmcRhyuBCTYogUB5jjL+wSOTck6NAg8MTyikYgGpcAoBUjl5FiJEiVv67B7guBetn6dsvHedbNZMmyTw4EMsxmpJp4QW21tQ3lVMywtgM4aSnAmSo8jh1dOlvevkei14Q6ADK7lf1cfKMHryzfhgZnnYldFJWpsbcgwmTGqoDPqW2y45aWvGMgPgnKRHBbeNuUQsEq0ag745Sj36C4FmNinOy49pwgpUr9lo8JUL362Bl7iFgdCCYFpJV605WsiChgRSLTUBzCsZ2I5w3+3LdkTX8KVjBzrZXsP48KBXIff6W1HckcqrEHjRgnYjAbGqE0iUxlSoqgpWUQKFNUbCHsSy9N7uiW+QAGB6rlLd2CnywrnOelMbUblCsBU5YChxhWhE9C5ZySVQ7aGxjb8+oHPUd/QBqqn6DUr0FQkoO/XSJ/5RfgbXWhptqPR5sTydYew90Ql7C1OEr1SvMfYo8shIj/DAn26ASfK69lnw/sV4PLzBuOfX2zGidZmHumPOlekOEXVb9vlwgsCkpJ+Wj2VXn06sVe4XTI98vlU1WBFXZsdyDPCmWfkHrYQdl17KRBE/PnIKL7g9kHjkBwe+YTGW9ViUfqQVy/4/NBXtkJNqwryODS5YaywwdHNAl+KES+/8h3u++0FETr2ao0aLy26D0/d9A8c3V0a4UFaUk146tO7UdAzF/ZWJxYu2w1/YToPZPkkb56tTnHnxC2KeOudVTBAjYOHK+Hz+ZGeY4Elxcgq9J61X4adBfg/oxGIqZIVTuIYgcByG5F4gUJLWqRigwzy6SMpGkp5uasuuxledSv+tP+V4Pzo8ErZgdGUAgmsWAwuNDuImCrC56eiV1F9lR5+H5/ciFfPuYZ9ZtHqOZ+ezQHScrVcIMutkWg4xDGNJXiz4iw5+bike8cKdoRbvdOGpWWHGOBN15vw7OipeHHPBqamQ7x6GjOaZK/vPRSPjzyP0T1en3QxKtqsmLnsUzS6HBGTL0ltPrxhlTTxSiG18LHyqOF3ilAbaWlfwZFx8GOl6GZJS2Ow3Zt6jsbisn1o9jhiVX6oAqRbj+ITdRiUmg+zTocBGTn4y1hOxwq3GkcbVlYcj+iztkwXA+7lHnMKV2iSVjT6XCPi/qHjkJOkLDd4fr+eWPXbWzF/zwFsLy1Hla0NlbYW6BvjT+j06NU3Ar4cgTHIgmBK7nwgsTTnO1t34LpRAyVHIt4DUORSm1Fr5CoXdzCYfL0CyGdODZ0vPS/mxJaYo6gy6UkmnDG0xQf3Ujv6BgFqciYkh4fJgMtKO5Jzk0h9Is1sZK9wO3iyGskk3R5elZr21cwTdq09peRXB3/vM4jSA1h5H9SnLzYVY1nVcVTZQ4V/ssxmFDSbIsB9xKEGAEMj4MyNinKrgXN7dcOKXUfxxbq9yM9IweVjBmLq4F6sFgTto8c5nZjKCyUgUxsaKYcjtdTHV5cMUrEjOx+3woKfl7dLjlUio+uhISzpt2+nbNS3xY5T0Gi1TUqklrn87GNes4l/pkCpiG6DQHN05F42epuVaUFBVmpccP/rZ+ajuK4WYq7kUdBKoEGENS0VjnwP0vY2M+14snKbCy1WB8xmfcTqzst/+4GBe0ZLYbkJfriTVQmVkIwNlKkM/P2rzVix8TAE0qs3AYZ2WGbUWn15C9a++QAbc8ov8vr8MBt1GFFUiPfmbcbSDQfglJ4r5DBpiH7HalIICGgF9lm8kSU++eTz/v3UrxjfMLoKcJzLRO3kJQDleSg4aSiMK2MAmtTwmMjRE5B8uDVI2Yne2lzaBns3FbZvP4l7fvsp3n37ZqSmhhzB1EwLnpl3LxZ8thlH9pbBoFVj4nlFOHfGMKg1Kiyatw2ff7gBzqxkLgNKKzPhffFSsIavQvyw+SiMbf5gcvDunaewc/tJXHH1aNx595SflD/332jiWRWds/bvNLohzBo9bL74+vIEOiw6DgQu6toHT2xfBYcvLKpE9xTN0RQ9ggiTyY2Py5fiwb5XIUfXFdXu06wAVSDBOj/dlzpNAGqVH/6AWhIMiZ2pCDivqz3Ks/0FAWl6E0ZldcGO+nJ47FK0JwIghxmLmvLvKYJ+VZ9BeGTkRKYY1FGj/b5zeAteP7AeKlUAhJ9orvH7Vbiu5zCck1EYrGQ7rbAXckyR0dNX92xCi9sZG1EP5q3GR8MBuwaimu9TXpEQCUy6NBClVRTyY8pbrGh1u5Gs1yPLkIQvJ96Ch3YtQXFTRdhx0Fq4Bu5aLd4o24rvjhzHF9dfCYuUnBZtx1rqIqNBBJpaaC1Hub/s2cGuh3ZMAG4ZNizhJrkpFtw9cRR6dMnAhwd24VRtE3xGEboWFTS2SAdDJvNo3MCv+4/Chuoy7K6vZmCHwC8BcOI8J3oQ+AMBVjjKmxaArlkdA/SZMhDpx6cQB1cuxMY50KSuQ0ZJjz4C+EoUHkYB4CB5aFEeDlTWMl11ohhcMXIgBvbMxV0/fJNwTLRWgR0LH0LJsQ7fBymj6AVM6NX1J13b73+1JQLcB9tjAwOYK8AkNS3lYVSkdp6pBJxqG9t44rNkDS12eM7Ep44x349UZjxhEWgfYLYK+OvSDby/5Hi2tGFnSTkWbC2ANluDNSdL2QqImEK1O0TUZGqRUuKHpTIQjOarvaHr0mDQYsqkfvg5jehAJbWNcddMqf8FaSHa4LWjB2Pd0ZCUbowJAoyNfgbEosEeRaDpWvNHRXmV2mAOaRyjvj5w5cSYz2kVprHVgTWbj2Jfda3kWIZ7tfxvb4oWrb0tSD3SCp9Zhxa/H9PvfAeeFDWG9szH9RcMw6GT1di2M/I4qSCVscEPd4oKPnPs88PQ6IOpyYfUPhkM3FM/XYQtfwLOO15ez2hiq3cfZ9eqyaDF7PEDccsVY3DP9eeipqEVep0WDz29AGX2puDvAkY1VN4w0Bxm5LgTxaaoqOOSqnabCxt+OIjqiiYkJRsxYWp/dOqcHrNdboYFmSlmNFiVFWronDNBsoglGV6dNqKfcoXuMJAvH0tAp4bKr4KJrquAFxpnfG+JfqNrcMCbnYyGRhs+n7cV99x1nrRbEV99vhVzP9wAr8cf5MzvPFyN4oNVENQCVnxDgh2AmKbntCsFI5DPSn4QBTBM+UdWHiIVogEDO2PchJ8erDtrP6+djeD/zDajYCDmn94TQYcJN/q8Z4oRc08vh1bQ4PfDh+G57dsVKCmU9CIiI60NWxsO44G9f8eFuaPx5okaqDtYWpOoO/L9G4+OQisI1CcNVXsC8NsB5+K61Z9LGZ6JZ/bfDRuLUbkFGJiZi+QOJ8iG7POSPfjbkTVIsngikod9PhW+LN0Ji86AhwZPUvyt3evBN6eOKNNliK7hFXhyZnBpkiKx4WhLgDaghcfBhDOldVRZXYaDUJpQd1dX4fx5H+KzGZejd3oWCpPS8cW5N+Pc995FQ6CNKxWRMyStbhDlpqS+Ea+u24wnL1SuKBjtBJGOfDxwH9yGyfckBvkGtQZGjbyyo2w2jwc3rfgau2ur2KoL/S9AevbmAAPJhgopWVcyogXlGpMxvm9XvPfDdpilflL015XW/rOflDasdjd8ZuKv+qFtVfEERjlynyTCk07eQmg1QGdVsaJXcj/ocieakodwmsy4koyAOUW/actrRw3G1CG94fL5YNRSATYB8/fsT9xBSmtgOQ/xnSu2UsCqsnacfkbR+9NVTQkXXHR2IOVk2CpNR7O/orYLr0+QyBjAl1Yj9LTQGF6lNUxilkC+j3KRLWEqMxKgtfbWQOP1wVgXmoMIaNC98tB9F8Jo1AWVi5buOYw9pyvZ70Z1L8CMIX2Diiz/Lrty5CA8982Pcb+n/l82IlQVdlyvLhiWnYs9dTWRk6L0t74pwKLdlExMqyvhJivP0vdUAyLy93yMLh5ThOVbed2AeNa3MBvnD+OUIbKjZ+rw5sKN2Hb4DK+u6hIRsMTKOgZNEODqZIS7KQDRoGW8cK09wAD+vpNV2PtOJaNlmJV+SvOENYCALcCLX1GOhzsAndXHnDU6xgZKWqJrXkWJ1VLwowMUcxqvG5//knVbvm4cLi++XLsXa/acwMd/uhpd8/kKz+zpQ/D6P0MSrFRIypekgcbOFW3kFWa6rsZP6I0//HFGhyPKK5fuxdvPfwu328tWogi4fvi3Vbhg5lDc+9gMaLWaiPnp6qlD8faCTYq3n0qtgi7TAH+jO7JSrdKO5QrZUmiEouRUvEsl0vzOTdPqjXUYELWI3+aFKx+sHsDXi3Zh34lKzLloKPZtK8XqFQdCu5P64/X4sOKHA6ECWyzwEX+5l31DjrlE3Y08BqpY7cTr936CxYUZ6NKnE6bfMB49B3Hp3l+SBcTQMyT68/8tdhbg/8x2S6+xWFa+nxU/iuaGGrU+5FocWFy9AmpBzYuRIIBpRZ1xsFyLyjb5SS3CbHIjI7UNWg1tAZyyV0GrUiFTn4omD0kwtg/y+e4lPq7CNU0fFZgyoAkDnKOzu+DufuPw5t7tCdum32YYTBiX1wX/ipH+/+uHVyLJHCsvplYHYEly4aPjW/CrfqPR4rXjs1NbsKJqP5w+LwrM6Tg/dyBrIzZzjKK5RHqV+ymBd0qS8lFVxZDE5L39x+O1PVvYeWJAXYyO4vJ/6xw2XLjwQ1w2rAvu6DUJVXVO1DdRyFcZTJPTsWj/ITw4eTxTsIm2YZn5SNLoYGPZvx2LzmtbVPBmBBKuDF3ReyB7KCayxzatwt46ri4RkhmU+m0EnJ0DLJrPCktBgFGnhTnXjNc2bKaii8FCST5D2EpJFLUm+BmpZwYC8Dj8UKnVDDC4U+nBQrIZUuKdDNipEq2NvDDSjY4EseSckZQnFZqSiwuxyH1YgSu9Vo1x/boysGnS8fNS2WTFS1/9CBXx3aMoPrIxOkYHJnwq3tQju+P0EwL3HTHmq0vXo0mtQVt0InCU0VlhID2ikY71iVWrdRFAlYqUmUhbnX9Omv1UG0EeC3L2mPRkVKCXRSQHmKHb7IRHSu7s3y8PN10/HsOH8RWObSfP4J5PlzGqiey9kILT6ys34x83zcLQLnn4n1qb3YUVW4+g9Ew9cvxGNPid8DEHPjQY9Of5RT0xpkchjpfVYf3uErjcPrSdaIXRGYA7jSqphpwkfXMAujYxKI/q1yvTNYhWQuPFaiRISe9UKO3pX03HtNF9YTHpMW/NXmWnTqvGk7dMC352sLQGd748n+c5SMZpPe2cVJUAT4Y+qGUvV2QN5tZoVPBr/WyVRfHn5Ei3BaB1+qHxU1EsEVqdBpfeNAYfr9jF+xuW1xLOzFPqGX3mMRGdkiv7hBsBUVqd+Ov89Xj+zovZZ3l5aTG5M6JWBU+KllF1cjOScPnFwzF2XC907pyOoyU1KDldz/jhI4d0QVqKkvsCbF13FH99YnHwvY/455KtWlbMAPvvH49UiLlu2jk4croWa3adCEbF+RALSDYZ8MqDM/Hsk4tR30hRfn6N0QoP0V9ixiK4egy4cvRwZ+rYyoiWJGaDG3TcqP0TB6vx4t5KqD1x0kOZR8X5/Ox20yYOGAXpgp6ovnh90FD+hNcPysM/VN2Mo7tO4bu5G3H5by7ArY/N+kXRdsRIcbOIz/+32FmA/zNbgTkNn4y/Cb/dPh9VTitLkCUgr1b5kJtMt42UOEfkXskqXFXIytFCbQnAH1BBq/FDHQX66IZdW7cHrw+7Gw/tfRfVrqaEzwB/gCrPSoWtEkgUXNONJ5CG28yu/dsF+NQiFcv6V217XRkCJOehXMGc3YQavROflGzH52Xr4Qn4g6sipbZ6/LNkLcxpatibie4UakDlpKhUbESWS51RMSMO8onH3y0lHYXJKShtaQ7mPCibgIBPje9PH8f6umO4QDMqQj4wgo8uGdU/+P7IcVw+JBQ9lM2g0eK2vqPwxsGN/OdGEQF9AIJbOeufjICZ4BR4oq0QC+6TtHrcNXBkgmMAau02LDt5JH5SIo27iRTVzKhtc7AHnEP0YX9tDX945ADGOpLWFODXhc6TPAas2JDEX2bPOQ3nlUf7QYJPjYCW0GbIwZDPG/1NSaCUlMq44vQxtUMVa30chDIgGtX1m847B0nGyJDrV5v3Mfk3fZMAZ3aYnmZ7GX2xw4J+ecqJjPHMpODYtbePhy6fhG8OHcOe0kpFjjgD91KBsXAjmhSpFiVyVNjSvw1IooTjbC+8YciKfkarIwT6DQ28HfpKpZBUSu00i2589t6NMAc0MJl0SEsNga2KJisrIkXSoNGrEna3B3d+vAjf3XczshQKeHXUfth2FM988AO8Xpon+fxqoMRxHeBI59VszTotrh0zBDePHYb7XlmMrftPc7qRBDgJl+vKA0EwGhNRjX4fdq3L7D9GI6OVtYCIx+6ehgvHcHrS/VdNYt/PX1Mcca+lJBnxwl2XoFcBT0Smfv9l7mp4fYGI7X4q/mDRczlJNviZyLTu1S3xgwIEZi+dMZSJDxR2y8T50wZi5daQDGMETU0Q2D2ocYdUuMJvJRdx+w2hSHW00fVMUfymVgfSk034x4LN8Bt5Aj/RnoK/UwnwJalQLXgw/ZLBaGiy4dYH5+J4aUjylc7jjPMH4be3ToYuLBpP4/nJ22tCynTR4ySK+GHxblx356SgVjwZRfmfu+sSrNtbgoU/7kNpVROSjDrmrF0ytj9e/vMiNJdT4oyKgWdG3zRoWNXdeOeDHGN3Or95XBmkte9hjqFIORIJTrAYBOjyewpMRTpb8X4Y/E0H5zaVN+zaIIxS2QiEVeIlkyk8C95aic7dszHtuvaLjZ21n8/OAvz/gPVPy8Oqab/DptoSVjCJKBkVnmPY1XxAkVJCMXp3wA2dlirrKU/IdKM3elrR2ZSJz8Y+jOcPf4k1tXvi9sHu5pMLJcuq2CsyAZEmhK5JnRinekfdQgxMy8OcLoMZD793Wib6Z2TjSGN9XEWgdL0RE/O741+1HY0l7Rab0mgC+LxsA9xUDTWsH/JfWp0fxiQPnDZ9BDUnPt2CR/MJVw7OycVv1i3jn7H/tzcrivC4VNAaPFhVcxCijLKkiE20Hjv9/eg3q9hD5YqhA2Na+03/cSypeP6pfUxe1JXvg+hRIyBFxlniZTMVo+GOidciMhDMSmNFgXxK5v3rxIvRuR2J0h01FYklAmUutpM0oUPXSxDDqwBnFmCqDnllFP2lzymiGZFMSv/xcUlGDxX/0UY6WkRLEjV+dr6omJV83hgnn/SnzQLMai3sfp70x8C+FnAbKcGNePOhfRE1YNmJo7igrg+TpmT7EQSsOVACtz7AItHUvqyKwrmy/LcEChMlAMvHP6zrT4s6jxrYhUVrPVEPzOh22bVHuTsGLQOIowZ1xfV/m8f07yPOFOs6JbQqCP8TmEgB9C3Kx0GnasboItx64UjM+fwLHi2OQG/8Hza+KYChA2qEPkFEfl6slN+X2/cx7rUic04UmQb91zsP4tfnxQYWOmK7j5Tj8Xe/CyXEh0W+NT4Bg7TpeOCWKejfOZfRtH7zwgKm4U4W7TSRmpbaHRtxZk5ATCoRDwz4ZEVK6fqnvffsnIVe3UMO4MbDpZi3vjiojiYDYUoIfvaz1Zj78DVINhsYX/14RVTdEaLNyXUVEk2QBMhc0uosBV+T1TyizGiG/J706fnzRDHiLgi4+IJBuPe3odUEsgPHoupEsIPkMpoEHL16/luSTaX90DgRlYQSrtu7j2j8y2qbYXO4cew0AXZSpyEHPmrmpDwsrw83PvopWmpsEVF4uZ2lq/ajpdWBZx6cGYwqV1c04/SJ2vhjxg8cm1YfwuzrxwY/ami2odnqwJAeeZgyvFfE5gu/2o6dp6rhzzGEzoc/wCiTFHxgScIK97Stq5kXJmMfivCZ1dC1+SGa9MRfU6xFIRvJZVIiOxuV4K3ajtsnOTXhqzntWfh2gtMNlTuBwhQ5rG+txAXXjv3FRPHFs0m2Z+3/lxGgPje3F3vRjTdr8+K4vHzZ1IIIXxz3mxUDggpbGw7B6rWjqykHRcldcchKVRUjzebWw+nVQqsOoGdyGh7oNwMfndyEHY086Spda0GrGzjc1IhjzU1ssllRcQSvH1qHv46cjan5ffHU6PNxzYp5bLINB9fyw+rJ0ecxucd/1Yh20+4zjGTt/AoVY8JMZ/TCZdNxHr1C5D62TRFaQcDupkoJmyeYaaOMqQkFiN5gQ0AMgelgFDBsW/nvP3+7GiMKO6NrRiQYIu7nC6MuZsnED61bgaPqJkAWYaEVVzPgNAegr6OCKiJcedK1Q3iR/pSG/vYB5zBJzkTW5nHji4P78cF+vvT+Lxv5RxpO5WHRXS0/f+SMxEsmpaHRtgIewt1CpKMlOFSMkx/8TPqXwANtYPd7gtGo8GIzxI+mzylxlFYSCOCeabHi0vc+g5+KbEHEwE65OKVqhVuu58Z4r3y/ok9k1AWiQhi0GvQoTENpeZOi80PRwsGFndCn00+Tf0wy6XHt9OH4eNmOuNsQCKMiMxq1Gq/89lIY9Vr2unXiOXhxyTqJHhPKQ2ByjRQ1biKd7si26L2RUulbKLme0wxI9YeSnKcM6YnHrjsfTy9Yg5ZAnDKt0q78JkAk3nWAaAjKm2nVKhSkKDuTVGshUc0DGuM1h0v+ZYD/4Tfb40Zo6ZhPlTdC61Mxmta+45XYdVi5grK8/ES675ooqgKjISkp5dAqXzBhImQlFQ247dl5+Ojxa5GUpMcDf1/GqGzhQEj+q7yuBc98ugov3zUD5fXKnhQpylDiPc8ZUugHVX5uC/CIMKtKS1VqSYUmbF/EgiPaTIoKeqssxhvyDUeP6I57peTNcDtSEqaxHhChs3qhcYSKUBGg9yRrYc/jN7+hwcfpPnYRbipo1c5catBpGJim6DHRoGSATPUF6FzQNe+xkDOuQlW9lak2KTVJ53/dthOsv0W9OgUTa9szWrWw2zgV9khJNd79bCN2HSCpK24FBeno0S8XXQsyMHFgd7zz9WamgBNdAdebpoc7XcvGR3BT3oafO0ApWrgz9EzWVLGYFd2b2Rao67iyV3hAiMxn0cKfZGAAP/wLv14FtS8BfY+cLumeYMo55PhSkrjC9UNjQHKo4dexYHcnXtgUgapTdWioakZWfmyy8ln7z9jZCP5/gdH06gm0o7+M8EJXsUagpdxZh0f2f8BuQ1rEowep26dlEXr6LUlcehgtR4BZ72X39m09J2Nsdi/2cvu9aPW4MHvt+3D4uGpA+MOYtPF/u30hFk65DSNyOuOLC6/CE9vW4HBTaHm0wJLCqrtO7xpKEktk9a42bKg9AZffi97JOVCJajy1exWO28thilQVjD1mkVePTOQYkQJOhtmABrubUVXaM9rCp/VIYoih7eWF5/gOggBvqx5Wuw4GixddciyoqLMxCkiiiZEcvXl79uNPU2NVM8iqW+04WqfA15YadOcEIOrCngTyHU1RfkFAii6xNnSDw4ErF81DWUsL/OQZxNOzj1jv70DVVTvgIXAtAc/4o8ZlFFmxm3C6BzF3KHIvZy5G/IhH8pkfoAslubKlaikkSlQVVuBWAh1sQSXsOjlQxWlFjOYbpjfP/qEHnAqw1Aro2zULIwYVwuv040x9S5B2JISpDr18zUX4V+zOy8bC5vBgwepi9lBlxdkCPLqt0akZGJw6sg+uOn8ICnK4A3ikvh4v7dwIW3eeK0LJcDqrwKQ1+bUpMO1wotQEqTrSBfj4jReglzkNy7YcZpxnUge5ZEwRBnTNhdvrx7cHjgKkzJiYjcaAPWtbQaiLrrmZRX3jKkR526vaS9d0IqCSwOxOD3ZSImoCI8d57a4TGNI7H2t2UJVOVYRSSITRyVaF7l/5X71FBzdD2PJ2/Esu6ag8fk63F3/7agMyOlsgJpB7JPtxbwmTNLVEUcpko+RMdr8QGyRIY5MvTJJzFWGq9zMH0ZVMq36cNqIUYCAuviNbgMZJkok0fwi4eOogPHLbVMVIbPCzgAhjvTuGZ04rBIZmL4u6UwIp5XPQ91ToKmEFN5IGTTGjV+dMvPz2yqD2fbBdaQ5xpUhtsGTjxJcqndvv1x0KAvzcvFTGsQ/EO980tfkCWLfxGMpa7Vi1K7bo2ZnyJvbypKnxzy83QasUhZLeU/JsW4EBKn/767/B/A1SdRqcj0a/E/b9dVA3OPlKiF4NT6YRfpOeFZTjWg+hvlERsYDTH3eulTUxKCpP51Dj9MFnpmWVyP7T/omSNH5cT6z/4VDoHHSQmE7j90sx8WwE/6z9HEYglZJjG9zx175VUCFFZ0Gjy65Ai5ETqEJPF9qGy2F64fJqqZYoA/2knCNXT72j53m4KH8oym0t+PTYHiwvO4pWvwNulbJ2tLzXj05sw8sjZmFkbgFWzLoZR5vqUWmzIsNoxuDM3A4t0Xn8PvzlwAosLNvDJtEgLzsgwOfRwC9qYDLGj87TfJOiNaHN275EyJIZN+B4YxMONdbh7fU7WGJnfKNlYUKpYcfAnlBRn0X2RqqoRNERAa5WLaxJbhR1ysaB8trIB6DeD1UKVRESITrV8LdqUVzBk1qV7OMDe2LpU5F75v0KVzyQozqiiL7piSPLj/64CmesLfx6kZSBgsestDfS4k9A4mSnnulYc6oMgfb2yU2cOhDRDkU4Zf6C0n7kvsqoSyWBfY9EA5D6IXP9o49JHi3KF6ACYBG8dUkH3qsRscdWg7276+ATAjCmqZGvtsDl8iItyYhZw/szBZZ4QIyMAPv6o6VYvPsQqlvakGUxY9bwIpxX1JM9SB+6aQqunT4MKzYfQZPVgex0C4YWdWYc9WSTHr07ZwXvp20V5bhx6QJ4DWH8eA1F5wlMAUkkpymdG1JyYYWmWIkEAa9eOh0z+vZl74u6yIL3IVu3vwQeb/yKp+FWmJ2KUi/lD4WqRbP9CAJyky14cNL4mMj57rJKnGlsQXZyUkKdeVpdGFQQ27+OmLsj/RcAl0Q1cDgJKbVPbZCvFlrRcaUJsAteaFg+jGQSY0bJFw23LftLkVQfv3hVsDkR+GjVTlaLgs4r6wYlmVP+iqx6RtFsiqBDhaRkA5N+pWq810weiqKcTNS32PHAB9/C5/GHor1xdkb3mitTw8aekkbvvmp83Dl81JCuqKhphqrVq5hEKr831fvgdgpMmpGMovhqhwi/Kf4g3XbxKOzZfwYr1hyMaEs2T5Iqwplpb14JBAJsNUA2S4oJ488vwubVhxWdOpk+c7K6GcfsbTzJN2oc5KtB08rBdCJj23l4tfGE2zLAHQhG8g+4WnjKV1EK1EiG3ydi6jm9YT/ThgOHK7l6E82xdF6lWgfUhjdZC10L1WaOHDvO+RdgyzbAXE2V0QWoSZjM6YNXp2Y1GWQbMqgQd902CfsOluPHjcdI7YKp7wRMOqh5eZ64lpKRhKz8WFref6sFzqronLWfy2Z0Go+PTy8PRopjLkYE8OyAO7CoYhNW1+4ORq1DiV3K0x0FI41aLzSCHuek9YfL70EXcxZmF4xA16Rs7Kgtx01r5rPoPD2sNTqfVMhKuZ+039VVxyI+IxAZDSRPNjdh8bHDqHfYkW1Kwpy+ReiWGrr5/7RnMVZWHg46K8GjFkRo9F4E3Fo4XVqYjMorGwQmftVrEl48tEK5o9IkV2jOQGdTGk63tuDT0h3wmjwQSI1FOc4BwcgVXGKi1LKaCxv28Jge/1OT4kLASqiQVxRocLhw1bBClNY2wU5qISoRmkI71KlSaXlyBgiUkkPgVC5oQ7avrjohL54BXZrk5UMKC+hlGcyYUtAj7m+r2lqxqrQk8orzRTkLYSiGAIzKIxd7kihPNE60SiGp0FBU8Y/TJyI1YGCA63BjPRbs4A/sjhrtMk1vRKs7dkmdac7Tg41WkfUSyBfCq/XybeSG2EM6wRIKOxYv0R5Ibz9MGk4EnDm8FK5ADqEAOHV+lKAFb111Cab3bn+FyuX14Tdzl2JryZkgGD4mCNhwrBRDCjvhrRsvRQNVyRSAm2aORFlNM16a9yP+tnxzBJi+d/Z4TBjcHfes+IY7pwqhWFqFcGWQjjk5YFw2lFZRCFgNy+sUBPdKRtHlF75ay5yC9owKy82/5zqUNDbh7c3bsOHUaTa8Rq0Wlw/qj3vGjUKGKQRit58qx58Xr0JFs1TgT7r24xkB/2tG/2vVrlOSDIy73mpXpmLQbmn8SqubWIJrToalXXxP13xrV1oq4StBBJb1UXEYdnl1MPM1Uc5FuH26fi+EsNU0lpCu4cn0RMMiIxD+m8sn4IYLhsf8nq7O102zcN+ri9nKXFwwzKRweUSemm1wO3HDG/Nw/cRhuHLcILbiEW5zLhiMhSv2QGv3tbvQp/H64VeHPGdDsx+iQQOHmmhi/MbkQR0Rt18yCpdPHIRHnlscoVQjG60aRdOiEslJypYdVumV7I77puHArtOwtjgiIvlBCoxZx4uQyfx4BWPxng4uMhGdMMCSheM7fyQa1is3HaUeO2wGroonGyM/aQSsKi7Bb2ePx6FTtQj4aJWPq4xppDoTbD86Ae40LTs3VNMg2IZeBVemFn6DgNaUZKjcAXShCtdFXTBpQl/kFqSzQmiZGUnIzkqOHBPK+9OqENBboKm1UlKLcs4GJTbfNolV0/2/Zk8++SSeeuqpiM9ycnJQUxNGZwuzm2++GZ988knM50VFRTh06BD7++OPP8Ytt9wSs43T6YTB0PGKzWcpOj+zERVne+M+VDnrYNIYMTpjMLL06ZiZfy42NhTjlK1SMXH1usIL0dNSgD/0uwYDzIPw0sFvUedwwu3Vsih9bkaocqWiShbcuKTzQIzPGhihFX/7jwsik1QTgHvZuPxk/IjlkxvW4rOD+xiokTHnW7u24eZBQ/HnCZNx1FqD7ysPxe0royhofHC7+RPOaPBE9CnbkIzHBszC2MzeWF6xH0daqxVpOrTfW3uei/1N1bht/Xy+jU6AqFJBCIQBVRkB6gJQZ7rYpz4311oU1CIvdEXLpCoBao0fAVa1l0ei1BSRNzJuCNQZbvjqOAGcQPlHx3bAQyUePWpou9igSvZFRLmZqUWctpThcEsVilLz4mjiJ6BvMfaVAFWLKshXJcqOOknAW5NnMjWgeHaAKmEqOQzUTfqZXOCLaU5KqximAEAOEkWAJGBM+QDhq++v7d2Gf86YhVF5nVmS4/ojpSxqm8hkTXE2NIKA2UX98Mm2kJQgORLELSdefdihw2MB3ORbymPK2AiSYgxxkOP5cmHHG1AFIBqDuqlBC5jJ0ePJy+EFrl7ZtAnTevbEwZM1OFFeD71OgzEDuyIjSprv5eXrsf0k53jLkW7ZWdt3phqTnn8PXmk1Kdmoh7fFCwTl8kKc7Ife/RazZg5CkysBAielm1QqRsSvacohoOgh2ZxxsUnc4UaVaqkWAUk5auyU8BfX/8WsPv0Y/WZofie8f+VstLndzIFNMxqg10Q+TorPVOGOjxdFOqiRfnHw+pMdoN9OHYuBnf+1CD6BxjmTB2Hu8p3KqjPSMR08Vc20wzUaNb+249IeKWosAUu2jchqKoQ1FUow7wDYJCOFnH2HKtsFx6wuRwRHRaK/GQCVneYFFe6YMRrXT40sXEfOTVWdFQa9BqP6FeKi0X3x7fpD7U7qujYvnJl8ua2i0YrnF/2IvaWVeOH6izgnW7LCvHQ89pvpeOVPi9o/2KgpmVrpoU/GH/54EVZsP4oWuxN5GcmYObY/8jJ5zsbxk7Ux4J6NiQJNj6okyxQgJaPxGzEwUqaZ1HH+9vmv8NGbq1ihKzlBl8mGmrQQteqE4D6i/XbYbMxo7NRUiZfn9fDgGRcMoGdl9/wM/O3BOdhx5Aye/OiHhM18v+sYXnxsDh57cSkcDg/UFH0nPr2X1yrw6TSsdoGcUE2VjP20b6JosTHj/xD/vyzgwplDxzB2WhHyOqWyV7j17pWL/v3ycfR4FaOZUsfd3bOhL6nhdMgwYE/vh07oiyvvjUzI/r8kk9m/f3+sXr06+F6dIP/wjTfewAsvvBB87/P5MHjwYFxxxRUR2yUnJ+PYschg6k8B92RnAf7PaATs3zzxKex+J6PlMBBYuhDn54zFHd2vxIuD7sWnZd/h++qtcAX40znPkImrCy/A1NxR7P2iUwfw4NZv2d8iOCqKKqgY11q9kdUsl5YeRmsUxYUoMqKK03uUjKBOn5ScuPt4bccWBu7JopPpPt6/FxsbDiMrUxuzvB9DfSUw6QUD+W63Blqtnx3ntT2G45HB09n4kb0+4jrcue0jnLLVs76RoyLz8m/veS4u7TyUgXuWWtmmgWDTRKyScJAPqNJcDIDzFXkRKlrJiLpHNRThpX+jHI5QW4DK7IPfrgU0ATj1LiBNxaIs6hRl+oDcznsn1uP1EdfEfH9+1x5YfPxwwsREtZMedKSIIUVzXFR1VsV1mTn9VNHCH9wRfZKi87I0qKgjkjznIJBcJ0Xx1a1qBHS05B4bkaVr6tol8zF/ztUYnpuHuyePwtPLQkVroo1Ai+wgdE1Nw+OTJ2Fgdi4+37GPR6wDXH4zhsbDgAmPUjsJE4Y7TuGB7nYi+P6UWHAfcsC4wyR4pLEg0F3dgsv+9BEqKaIlb6YSMHPiQDxw3SQmzdficGHhroMJqVVBbXOKEjvdgI4PAykLRQPIr3cdgCZTlZheJkmGMkoGU4MUWNGkC0ckrji54cApvpok8nF2dOKJ0tHk8wxRj79cPDXitxa9nr0IFH69aR82Hj7NgMuwHvk4WF/Ljj9mDOSotET/petteNd83DJhOCb27ZjyFkUwVx0twSc79mJ/ZQ0D9xN6dMGVQwZAv74YjjZPXPAlK+t4ietPwXnJf40SEWNjSZKs8klgdRWUhj/6ZCl2GMwRvGP6KPz62CIWhY/jQ/HkZZmyrnBNThrZE3+++nykJoWSlBpb7Hjzi/VYte1YkH5SmJuGom657artsIRWhw/I0kUcxvd7j2Ni/x64eHjk6s/Ucf3wukYVo14TY1G7petxyrl90a9LDnspGVWxVWyK1SGJ5It7TVzlKOJeDzsumi+eenwxXnzhSgwaVBAB8v/wl8txz58uwSMPz8eBQxU0GYb21UGAR9QbBtrjfE+f+6RaCbQqoDNo0C81HU6vD2pRgBYC0kwmrN14FIdq6yKllaOMPiZVJQLdiz+6G6s3HMGR4zVsDm9rsGP71hI4nH74UikwRTRTgfWPVlSDnYlojz/3nnl/JeY9cwNMJj3LWQi3Jx6Zid899AWqa/g8J5r18BTlQ13bCr3NCY0goHOPHMy4ZSLOu3I0NNr/XdH71lbJm5dMr9ezl5JpNBrk5nYsMJGSksJesi1ZsgTNzc0xEXtyBDvaZjw7C/B/JjtoPY4Xj/4zCMLCI86ra6mYUgC/6XU9ftVjDm7qeglqXY3QqjToZMgM8iEpAfaR7StiniOynn17lmeMlNbYXV8RA7T9PhVUmvgTNwHoG3qMiFsF9YPi3Qn7cLLahTpNHfztVMKNfCYJ8Hr5pTo0rVsQ3JNlGSyYf+49WFtzGKuqD6HN60LXpExcXngOeiXnMo7++uqTECkKa9MoFqqiR1qgVccAPp0Wr1cdA+4R9nyhZOXoOgRyn1UGP/wOLQSjDwEfyaAIEPJdCRWBaEzX1RxlicYGdeQD7tZBw7Ho+OGIaGeoQxKQkxgJ4alcBAQfWvI9CtJSMDi/E+weDzvPFp0ueD31z8yO1KpXMHa9Bo+Vg3xa1WDAOEzVJ3IgONXi2U3rsPjya3HVqEFodjjx9ppt7GtWgZJ+HxAxc2g/XDF2IItOZ5uTMCgnJ9i/2QP74eviQxzwMk5+rNExax2AxxXWH0lNhn0vR/HjWEAv0ZviGY0P0XdILpGUSNxAcglQJUZO/nQsS9YdQKvNied/MwP7zlRFFCeK03TkOZWSg0nIJroAkc8bQMLUEbkJiq5RUp8oMv7+P35/WYQWuJIRlUoubEkrW+ZK0kjnHH4aO6bn3gosfvR6xRWhjYdKcd+H3zBgL0dfyxta4KO+EK1FokqxJOqw255O82OXTMbVowZ3WFqP2ie++V9/3IS5O4pD+Sl+P9YcP4mVR0uATBF6tVTBOFg9VNno94X5qdCrNDhxhktSMrUTM+AmcE9OsHSS1LyIqnJzcs6HgloU/42I3j2ysa+kCsP652PvwUouIRvpQ0m8b+60slIokjKV3Cj1V61XR4B7yt249fHPmZxjOEA8U9PMXnRNsKh0nDHWN7rhMwrKAgCbimMAPoHKyVMHYM0PBxSj7fJwBEgTPuw3SWY9LrlwEBLZuWN6Yd6SnTHt0niwSstMUCA4GHCnqqC1BXh+QlRbarsfXiGAx/68EPO/ugcGQ+TcarYYoKXPoq5pin6rSfWGqEJMuSd2bPg1IkDdoiyiwBw1AtjyLkURnjYPSs5Uw8dWRkO5CNv3lDJFKyGpY4jMaNBhxgWD2Us2h8ONV19dgeVHTkb0IVFeM12rdS02XHz5XxEwa6BOM7AqvrlJZgzv1RmzLxqKD965Bd+vPogfVh2EtdWBvE5pmHnREEwY1zvGIfilmcgi+ArnVrr0CgpCTiHZE088weg4SnbixAnk5eUxB2DUqFF47rnn0L17x4IVH3zwAc4//3x06RK52mSz2dhnfr8fQ4YMwTPPPIOhQ4d2/ADPAvyfz74o41F3JaMpYk3dVlxecCFyDZkwqHXoYo4NvS4pPcQKOkWb16eB26uGjnTDBWUQlGNIRb4xDQsqvkGVswYGtR4t3ijiNuuMAL9XBY2Oq3nI7clbXVIwADMLlZf8t1SUwRUUgo53sFQUiquUJNxM4blh0mgxJb+nIo1lWt5A9oo2m5fLe0GK3CvrGRAiFRBwaHjlyYT9kkg9FAFRbIoI0PQ0ChtXeii1YwTynT5PDMAvyszGW1Mvwe9WL2egPXpctFYVVPGkUwXgL2vXwa8XsbeGJ/IWpqTg1iHDcd3AwXhi1yqImgDEOLUBguA++JWU3OYhXmY769MCsLe2GqdbmllU/u4pozFn+AAs3XsYVS2tDAzmpSQjLy0ZhZYUDM/P5/sUReytqMKmU2XMkSNwqQmLaMeVNm3jUecuKSm4bER/fLFtHxrtDh71DytJEPNbWpVpb609LJJqrJWcBoXWqO9rdp7AkdJa2NyJ5VsTHAynYUgyo0FlErsKrkTyReToubn+v4oqLwvA6bKG+AoxYdavMAc7jpdzUMVC2QKrW8BqF7BleKBvQTZL4oy2OqsN93/4DXw+qXCVZAQ0Geal5EpS3qSFGKIRkdMgrTJT1L3R7uwQuD9WVY8P1u7Eqn0n4FEF4JOST8NXB4LglugE6YA7jYqYEdCPr79Ovz9d04yVb9zFIvpOlxc3f/Q1am3Samc4naidJNrgbSjdMuGXlbbZh+Oby1BcXQMvyViaqKKyDjarmwUViInnp1WUQNScS20xScwQfZJkSMPtw8VbY8B9hAWnorAJXZrctVYv9A0e2AeaFcempLoRJWX1WLBiL3aTXKQAjBzUFePO78cAfnyKEa0EhyiXGelJePGpyyKKnikZgcpF3+2F201OZ+h4qNeGtgAc6aqI46D9eJKJcknnOQC1V1YSCrBFRzoGm82FH9cdwXQF56Kofz6K953h177kpLEVHcZtJ+qLpFCjixxzWj0gWo87hVc35nNCqK8kz+uxSAPAPhSgbfWDYj7BjeTxon4GAtAQxT2VU3qijR4nVE+BZHKVjCLwDz88A1vu+geanSQv1L4kqZz95swzSp2gbGsfrC4Xjtc3svNww5xRuOPGCZgzMzbP45duYjsqOuXl5YwmI1u86D0B+rlz56J3796ora3Fs88+i7FjxzI+fUZG4urm1dXVWLFiBb744ouIz/v27ct4+AMHDmQrCUTrGTduHPbt24devSJrMSSysxH8n8GaPFYcaQt51hSJo1QVupBIwpL07SmSvrlhDy7rfEHcdk61NTLQ41Pgmzdak5CbYY2Yw8nowcaWRnN64nfFj4Q9eATUekzwi7EVOKkqq5ei1NoAi9aS9UzOwo09R+KKrkPR7LFje30p4+L3T81Dz2TehqODKhzE9SVd43jGA3LR69PA/QMnwqT5aRVA0/Um6AUNPMGZNb4Fgmo07QMOBvSj1nJZRMCvgsD43KF2iPbUniVp9LBolfl1F/Xog3M6dcZtyxcx2oOcpKu2kSZ8/DY9mgB2NVex8y9budWKp9avZcm1G60nAdolZQ/6QzkJQUeIlH4inJMQ2G8veVW2WoedAXyynJQkTBvQG3/8agUOVIQSkKh/FMm/87xRuH/xdzhQXcuWq1lftIArW4ShkfPKlYxd4z5effjli6djWH4e7pwwEqUNXLueVi/u+noZWpwuHpCVUy7UGgwtzMX2Rl7oKKFJw0AJlgn9GgG444MFsOfyVY72BfJiDoZRNNw0ZOH3sU9EgSEZVe42ZbqWAJiruGKOnPRJVJQ1u05gzqTEUdPLxg3EJ6ukGggKC2vU3vXnRXK9ZVu45QAvXBWvcWLaGXk1XSZHytCP1L9AALkpyhVrTzU0YdHeQ6hqbYPH6cPmfaXBVZ8I+lACI/oWFfdSOqZoc7i9yM/iDszd54/BU0vWKOaJKO5W/jAsih8UP5CkCfVtPNHVZfVBSFbD5xUZle3JG6bC5fXixfnrYubuCGwu1bag45/Qr1vwe1I++nb9wfjgXjJ9vYsBR08K54GpXAEYGt3QWL0MwLozYoEjtei3enHTg3MjjvubNfuxbPV+JKfo4WmOpy1P1B8RFoMW9z94EcaP7slyHtqznKxkvPLE5fjTs4tgo7wQKXpOAJzyPGaP7oclOw/DzhKFpDHykzMqshUWGie1y8+BvmQUaT50sAK9+nfCqi3H0OpwsXM9fUIRLr5oML78chuT9aQ5jVYKwi8XakXjCsDLCumpguDeZ+SctoBGgNckQmOjYl9+pnNP4J7Af4Qj1eZnbfNggXLUmD7Vuqn92HGh03u9QjJ1uNH43n/befjz29+FOt+ehTkg4f/SveZOVuGzBduRk52MS6cPwf81S05OjgD48Wz69OnBvwmQjxkzBj169GCJtPfff3/C3xKIT01NxaxZsyI+Hz16NHvJRuB+2LBhePPNN/G3v/2tw8dwFuD/DGb3OYM3caubSv1R9Co8ai7CqBFh90Vy5KPNQGXX49y1Hq8WNY0pSLM4YNSHkFC/5EJMzumNhZU8KSpEthCRkWRHWYMPPj9FtyNNDKjgc6vQOz0FnZIsOC+vN6Z06oUn932DJWeKIyhGw9ML8fzw2ejdjrcqm0bHVxqUqEUyePXR6oL0VDFrdLh/0Lm4ubcyNSiRnahvRJ4rA6e9UmlTesX6DszBUulVIAX8f9XomHxelXRXhXFFvRro9PGdH9r3nMLh0LCEWmXLNplxYdfeOFxbH4xaxovck1EeRcAYmdjJPpf+3XzmDFQm4tH7AZMfIkV6KTIvPWlErawmFIWOCPQbAhBambB8u2Ni0mgwr3g/KzSlhoBFGw+gzRWZ90H9W7b3CFYcPg6nho8TByxSjEktVcit5Q/gmGOl5Ee9Bm/PmcnAPRlJUPbKkatYAT/eexu+OXAUW06fYW0P69wJcwb3R2lbM+Ys+zz+AbC1dikSLfG1lTYJgjsCi/Vu2JIAlZ6i18ogPzrxM+ILJZCtBuxVLvTulckqSEfnhpoqAUOTTD2TmlYJaLSGkptp1YScqeiIOUXmH75qCv4yb00ED5gl5wtAfpdUPLV2Hf70wyp0z0jHtSMHY/bQImjVamw/fiahyhMBe5a0G44QCRtJyPWC/pHRKLr+Xly5AR9v28PuC3qvIv2A8KI/YZQVRSNQ7RGRUhqAT0sR2MTonqKimWGR5StGDkRlcyveX78zkhdNBYySROhsysHx0MBH9k/fzJVHaBN9kx+e5NB9/u7325BtMbdLlWO1IgTAAh227jyFkyV1uGhcEcwGHVye9gMrfqMaljIHjNWuiDVb4oY3DUqKAZ0sn4ic5gY+z4d/K49Hi1GAoTX2npRXblR+P/ILLZg0PnEOCNFE1u0/ydScuuamYVxRNyz44C7GM99/uIK1N3RgIc6b0Bd6vRb33zIFR0/XoaKhBekWEx74zefB6tNKOvDU2+2nq7Dg4U954IBoXQER78zfhDHDukEzJJWpvTEj6dG2AExUoEvKk6ChyTQaYU0FWqhyNuOcSfcIRe5VQNLpVkbrcWfo4OhsglfS69e0+WCqckLU6hgNpr1kZ5r+/GGyyPL1d+3UYZg+uh/as/NG9cG6XSVYs/146ODlkxI1JvyPONxRuvdIuUgLfPb1NsyYNjhuztYv1cR4q7r/w3bNZjMD+kTbSbh/UcSHH36IG264ATpd4sAlUbhGjBjRbpvRdhbg/wyWoUuBCmrUOvQwaGMnY4IATr+AKoeyDr4v4MOSyoU46NgAv9g57n58Xi3yVH3xzpiZaPS0Ik1nYbz7Rw48G4zMhptKJaJffg0OV3SCX1RBreaTecCvZhEDjSaA084GlDkbsK2+FC8eWMW5A1Eop7i5Atdt+AALJ9+FQdk5OFRPHHvlW0dj8DGAz5gfggiPLyRzwlcJBXhIwUYUkKTV48UxF2FyXk8YNcpLk4nsjU1b8ebmbZKaT5huOh1mFEig/jIqZofqdDDtlfDD4uCuTY1kRxLsehf8hlAWHUX7KVnYYPDGzKe0IpNvSsUdvc5td69z+hXhr9tDEooyP1rJGFe1vSinm8LY0jYE5kmvrf1DR8AUgKapnWlQKrR19Wdfw+PzcVk8e4DlCyh1iR5obpcPAVpRUCtrkXuTBOitSl0SAL2Aupb4Sj1mnQ5XDx/EXuGWajRA5aWqrHEqFtNCBtM8FzCxRzccP17BgEjwMGWHMWysSV0o5Thg7yyBUVK6kPoZugfjnJh454voLV4/Bmmy8MDF43Dv3KWsKi+pChnqKbE2FqDRftOSTfj8+92smFZlvRVajRpTzumFGy4egd6FWdhTXoUvd+7Doeo65PRJZco7VWUtjCrSKTcFZ/xtKLNbg6DuWG09Hv9mNVYeOYF3rrkUiYwWhhi4jz4u6W9yHvZWVGNir1BE+sMtuxm4Z98THYySGGOiD+1c1yT3K/mQtOrDkrjjABkCLTMnDIA+LE+BAODtE0dAJ6iYApTT40VOugUnG5pQK7ZxHnxbZKe0GhW8LOk08nN9ix+6Vn5f0d7D5QvJqpvbWH5FQnAvikwekyLUHpUHK7cdZZ9/snwnZk7oH5vLEdOAAL9ZA1sXE3RNHqmqqgDRooOvwAjRwjX1g8MndZaoJ+00C3+SFiqr8tIaOZjjJynLsxIVatXWo5i/ZT8OV9UFtyfgnZlsxrM3XYiZ0wazV+x+BfTrlsNeZH165qCkpE6xejHbV5IAe0trTOCA4ktrTvDq7eG8fqL8eM06JJd5eN6FCFib7Ggzabmuv6Q9L19NumYvG1MyQ6OHvcLvcrYSkhSAy6y8WhXtbJ83vT9beaPrjpLkr5g8GMP7FHSIykbX89P3XISBvfLw5YrdqGlqi5+DxJpL0KZUybmuvg1l5Y3o1iUUMDlr8c3tduPIkSOYMGFCgq2A9evXo6SkBLfddhvaM7q2i4uLmePwU+wswP8ZjOQwc7Q90aQ5zd4rFb6jSWRVzT40ud7BH/tfhwx9SvDEvn/q79jbshsmPVVltaHRHqtjJ08kDw2ejFxjOnuRWb2tKLXHr+5o1HlQmNuEVo8xCD6IQuTxauCVwLcYLo9JUnqaSP45RfMbPXZ8dmo7Xj7vQly+8Es4vN4okM/lJi3ZPPzFuaQBJjdpsxs4cCQqixSVJnB4Q+/huKiw/aiFkn139DgD97x/IYDFe0JLBCGQTw9sUgJJM5tQ2tbYHnrgbTE5DR6lIQ67aNUCbVrYqWG7Biq9gEBGSGLB69Ew0ESRfDlBl3IHZuQPxu/6TUWKrv0COLSScv+ocXhl2yZ+XHqRgU8lKkh78pBsm/bwPAPppEgkontKOp4efR6aPE7o1WrsPFmFj3bvQUCp2rB02gNunhBJRnQMHXGxE++O+Y+KOeMki2cUobdGA1mRFYfxwIdHl66ERiXg0sFF7RxYeLMCdA0quLIpRB8GHqV/BZcAgRwhP5CXaUHRpIGYv2ovAwrsMBU4tfLPzRVAS28e5dPQ4pwEDGSRuZjndTvYn/b53YHj+P3545FUGtqQgLQrHfDRbUR+moOqAPP2V2w6jIMnq4MAknjmq3ccw5qdxzF2Uk98W3oiIkrN7oXOerxz9aW458tlrMiO4grQyTIGxgd3y0PxqSpFgEn9SQTG6R7/dMfeIMCn4l5vrtsaeX7CElEJhFIyJaWpMPWmBICHePfyCJGUIksiVajaWZCdijsuDS2Fky3efhB/WbSWOVRE7yDQSTz9GcP7wdxVg5Xbj8NGnqoIZKUmYeo5vXDPnPG44+4PcarZyu49uo61NomWEa2QE2WpSQY0tTniroTQMVNlV8YLp0uRZDulaOqyjYdQmJvKpDHjJbzygRDgS9KyFxVVYoWn1CpMHtILW221qGpqZRQ3akGutdBepVhGpTSooWuN5MvLY2s06XDRzNikwO82HMIrH6+BVeXjEqRyICQgQuUJwHmkCY/eMZeEyJCVnYyLZg3DzMtHwGxW5kBffdVoPPPsUuVOagS2eiF3WNPqhdrlYwm0ts4U3VArPpCpQrAjSwNLdSiCwilAcs2P0G/0TTzPS8GHDf6ttpOmsCQ9HOe6pftwcFFn3DFjDHv9q0bBlKsvHIYrLxiK5lYHlm8+jH8u2cKuZzovwbycDia2k3ml+g1Uqbaysomdq7zO6dD+gpVzxH9TJdsHH3wQM2bMQGFhIerq6hgHn3jzN910E/v+4YcfRmVlJePpRyfXEn9/wIABMW2Srj5RdIhvT20RLYcA/ttvv/2T+nYW4P9MVmF3Q5OAdy4Xl/qurAY76t7Akin3IVVnwfG2o9jTIvFjAQzKq8KBqjw02JOC0JsAAyVnvjT6IozJDWVin7RV4ZPS5XH3Sc+DirZUuPyRdAsKtup1BEQDcEla9FIvOaRS4J/Tw2lR2V78rt95+OaqG/DWzm1YevwI/FT1UeeHxuCFIdkNtSQ1KR+z261DIKjlFXrwp+qNuKXvOfhX7Z/bd8WtABsE+hQZUwnQaTR479JLUdxWgef2hrRs45lG62Pj4yy1QHQTlUiBU+FWQWjTQJS078l8Pg38PjWKMrLx17GXIM+YiqQ4vPt4ds8IKiRkxN92bEO1rQ1+Iyk+KKy/yq92qAzxNmJyqGlZGJvTFePzumJi524RXH76fOnxo2hyOJnGc3QT5P9QldiYfrXTHYX0ktDPo54lPr0IZyZfreCJccBLqzbg4gF9GUWno5auMqK2xQGRONY6SlClpDlSzKEcBwmMB0R8crAYj55zLtJ3mNFktcMXXklX6VgootcEOPJ4AjCBbkb3YRWPI4eEbd9+XhyXeBREFoknsE5Jq45c6XRLS+rMMQkAuVY903yPvgXkKOb6tceBLpE13eh+aXN7cNPcBQllEKnNT7ftRabJyCLxbDVJAuTy1NAelYYcR1o5kI2q/cYk6cvUYJ8YTPrVBwAHk2eNBUuMgkSSlE2BCGAmOEQmWRisWCyKuGLKENxx6RikhCnSrDlQgse/WhU53pJ9s/sIK1ikY4XW+MlqbHPgi7XFsJgNmHHhELz3jx/jRpKpp+602EfuJSP74fUl3GmPNipKZKrxQxMW+ecKLip4qbKrIKCmpU3SVo9H4JT27w1wypgvwKLUlKjsSVfhg5svx+Ezddh6rIzRuPaX16CkprFDVIWcnGT47FbYbZF8+SSLAc+9eg3S0iKTatftPIFn/vE9k28MSDQW2dTOAFKP88R4aolGvrbGio/fW4e1PxzAq3+/GckpsRGFyZP74fTpenz62RbmtMgAlk6ROkXPgjHqVg/MpW1MElQ+LtMZujcNaO1jiVXKocqwFhUCdZKiEVMboguJ8sfAxt7HqvLSHNGBkaJLlXJVEuij0305Z/pPU0lJZHQ+MlLNuPHiEZgzZRBW7ziOqnorln6yBf4aB1p7J/GKyPGAPtFWfQHodBrk5abi6y+3YcGX29DUyIN0FosBMy87B9fdPOGXCfTFfw9Hp6KiAtdccw0aGhqQlZXFgPm2bduCqjiUSHvmTGSQ1Wq1YuHChSx5VslaWlpw5513smJZJKlJ6jkbNmzAyJEjf1LfzgL8n8lqXS1IVop2Rhk5AeVWNR7etQB/H3sLtjRuhAoqVsmWfx/A0M4VaHPpUWuzwB9QIcekw4fjHmeUFjKS3Py2aiXmnVnMpkmtyg+vQki31WOQwH3sDc4i7JoAWz42aL3Qqv0MiLdJgJzoPSET2fe2QAs+K12P83MH47djh0PMqMK2Rr6czPtFkxgdjZo93K8oGI3ypgC+LTsScU/1T8vB6+MvRZax/SVNJXN6vThQU9vudqTKc83QQbhxyBB0TknBQH8O3jy4kUlrKjM5KXIvMk1+UtwRXfFpQ8yJsKkhWkJUHe4GqPD4sGnonfyv69te3X8QriwaiCMNdazIUG1zGx5evBJeJsHBu6pyCfAnxZ+pGBTQSpIdctZpGEgqSErB5xdcjXSD8spCsl6PeVdciZuXLEJlWyuLGlGb9HC3aHWwO2nZPvqhmXjyZPNtHFzOUlbVgLVXAConl1xkDyep7yw6qgdqvA5sPlUWQftoz2YP74+Pt+wGi8ORUxLVR1Lx8aRxve2/79iB/D7JsNY7YCynYjLx26XDJYnP8AOkAlwsMVqIOm65UFI7DxedWo10ixnTxvTFN7sOw8GSeaWIdtgKBI1jdaYbGgOX9VTUbycg3MidD14pVNLSV9KuV7BGmwNNpDZDxUKDBHmu+sKq4nbAyQwvjrVqf4hfKu+dpieVMwTuWTTUCxgaAFdmJMin/1r0OozV5GCPeDqiYCCdJ52DJz7zHCgVHrh2cgTtgYD5Wyu2JLxMKembSpTIv5LH6d1vtuGf91+OnNxk1FTH8sjYOdILcIeBWrrPhnTPw3WThmFNcQkOlfG6AbIJlKRa4eNSn2FG1wlJQ5LT6UnRwOMP4M7ZY/D193tgtSkkvfpFGJq8jB4kt66zB+BJ8uPb/Uex7Nhx3DRhGB67/DwGCn/zwVKcrGlk14UqgYIVtdWtWxaefvVmrF11EAeKucrOkOFdMem8/kFZyjO1zTh2po6189ZH6xi3nxJVIxw0UURyqUtRDpeixeVnGvGPN1biD48r08JuueVcjB7dE+9/sQmHy2rZ/dStIBOFXTLw3Q/FMJ/gAhRs/MJ+Z6qifYqwDohViGJgXssBPJcvlZ19ko0NsACGJ0UNv1EDNEfSlCgh15uq59+x+ZgcV4E5VywBN+zY5cq9d14/AXk5KezvfzffPcmox6yJnN6R5RDw/msrYah3w5kXJ8BE9LgAoPUJmD6tP/7+xg9Y+d3+iE3a2lz44pPNOHakGs++dBXUcmLx/zGbN29eu4m00Uag3eGIn3P52muvsdf/1M4C/J/J1ELHhtonRbPXVFayCrON7sYguA83i8HNXmQaQRsE9y2eZvztxEuoclXAEoY/jfDC4dfBFxYGtbrbiR6LtHzsQKrBBX+Ax72zLG1ocZqk3wrQqn3BvAL6/u8nvsc7J1awSotMF1uKSjKNeFbAKoB8QyaGpXeFRu3HoDwjrut7BcqsdkYBGpyRhwEZHQO/Hr8Pq6uPYE9TGQPUIzO7YVJun3YVJcgocn9Rr954ZOLE4Gd6tQZvjZuNW9bPkx60IdRCKxYkF6hhZdZFeBzyqkf8iZjAnNqnhkAFocQAW2V5ZewlGJkdqa/7rxiBg/5ZnIP6celuiCQLJ+9XKsrDQJ9CQrH8mKdkWf6DcFArQiWo8PnUa+KCe9l6pmfgx5tuxapTJ1nSLjmWw/Py0S05FVd9MV9RhYS4xAlo5qEIaxxJSwI3VDk3OPLRyYEa4L09u34SwL9p3DBWlMrf6gLCtKsZ2HCDRfYJ/GraVKzWwwl0LLoZPKgIcM97HrOcT99rEhctpmt2xtB+0GnUuO3S0VhYeoR9HjBI8pbh+5P+JQ485QJY4rD0CCxT3gOtftCLQB07B+0doByljz4FLEEbTA5Q5QD8CUQoaKVuar+Q7C3jC9OiiByLYPwaUimIPDQyqn2grqRIKr+uslPNuH3ySMwa1A97is9g56ZSpuPvSlWx80mUGX1LgGnjU4Gec0f2jOE0n2loYZHr9owVE6NxI1UbKlxNx0r5Az/uwmuvX4fb7/wQditVxA71m/JH2gpIwSbkjBh0GjxyxRS2GvOP31yGF7/+Ect3HmXzJpmphUs9xnUeHURP8zMVnC756Vj+9l34/UuLsPvQmYgkSmODl62AxIyhTUTqQRcaBxnw0YbdzNm6d+pYjOldiA2HT8GTJLBtlGY5uX2NUcOoOBdfOoy9wq2msRVPf7wSOw6XMZoUtUXHQ6dUTbQpB+BKU7NEX409wNRq4o65X8SPKw/irt9NRXJK7Lxkd7jxxvwN2FdSGaScHSitxt6TVTBX2iOStKPH0VTrhr2rD74khclHrg4eJl0p/0XjT7RBV46BJdLK5k3WwZ0j9VG6xgIM6PPiW3oISMlIQnMrScQCudkpaGyx4R9fbMA/Pt8Ak06L2RcOwa3XjGPKOMyp/Tdqzl9+w1g01bdh4YcbuJxnliSTGS6hKpIsqYjuhZkYPbgrnvhD7HzONxWxa/tJ/LjmEM6f9tP44f9xE5UpOrFlk3+5dhbg/0w2MWsAtlu3QSUElKugMs1eAU4PRxcEqHfUlyFFSwm6vDIrgX8mqxk16ydpeKTbL/rxxokXUeOqYu/D90Ptm9Qe2Hx6yFDQS0+oROE1otD41KhrS2I0IJ3GxwCuWU/LsSJsHj2MusgldTlq5vYH4KWEWZLRYIA0AL3Wx7T6K111qK6qY3xpFtkS12By9iA8UnQ19FE68PHsUEsl7tn+ORrddmikwlfzTu9Als6CaennwJCqZvKIrOiPh5btI4+TK6lwxZVwm9CpB94aPwd/2LEMDp9XKqrFK+SOyCxAlaca1g7KgZLN6T4AJpMGvVOyMLNrUdAR+3famiMnFTigAnTNgDeVc0ajF+/FJIlzHvqB9DQT4IcfG6pP4dpe7S8Xk5IKOUr0oryLb44exetbtyhuS0BM5eGFmJQQA0vBUJDfpL4T+LSc5pz5FhLlSJA4tr26AvV2O7LMiTW3ZctOTsKAghxsOlnGEm4pcioTHvwmkUXv1S6BOU38c250aYdXnY022o5AJkXjilIzcbKxASSWqMTVZSsQAeD8oh5YezgkqRsOhpP0etw1mVe0ZpKOyWqIfm9iKgzdwxlcQlMu/hXRx7DVJeqD2omgxjwD69F5AR1RnZQoO9Qt8mfonBOfm35L1wCBYjqPBFquHzGEgYTtR87AWmOHkXASUSCo0Bb1g9qJo8RIUXmedC1C7fCxtsiGDe4Cb2892ijwIAEXWjH0WtTQOESklou4blbsUre9g7UL5EJYQblO6c75sfw07EtX4YFHL8Gjf1nC6A1kXpMKrnQOZHkDIkb0KsQfr5iEnp144iKp4Tx9wzT8ftYEHDhdzWgmL/55GaJyciP7wZJ4A/BrA9CLKgYGX3lwFv7416XYfqCMK8a0+Rm4jwduSefdWOeDI0+LjzbswtTePdBY3gqTTYCXioqlCkxqNDLcIf1rEKDVKd+ITa0O3Pr8PDS22pmEpc4eOQPx3AjA7PHDnquG1sHrKCS6rmhMSk/WYfCwrjHfEe3nwHH+3JMDPOxfvwhtS/yqxuw4BKpv4UJbUlJUhV+iM4m82JWStCU7Bk53snc2wVzhgE+vjgH3wWNWCdDqNfjsrVsZqKfr/vdPfY1dB8+EPGUBcHi8+HzZTny5dBd77rA6NtkW3HntBEybmDi/iJzD8toWtgpQkJPKnMdoo3tvzjWjsfTdtbAcbYGn3gVnvgl+M+f3adwk++nDmKICPPHMFfjr899GUJ+ijea3bxfv/sUBfDFMzjb68/8tdhbg/0x2c88JWLulGBaDI4Y6Kr9vbI1MnnX6fBiUMhILzxxDvTOJKd3QTJCscyHf3AqLzs0oH+MzuQLLAWsxql2VivuXmRh6tRdOv579bVBr4IjDs6XvHQ4dU38Jn9qNeg9Sk50watzwBlSJVLagVZNKDp+2ufNC9B4vDDovT+YKu5PW1x2AWlDj8QHXJhxHmhQ31h7H73d+Ba+UJSrXBfC51ThVI+LvZTt5n7VSISODCJVdFeSEU/Q7SafDjH7KCg8Xdu6HCbk98F35IZS0NjDt/an5fVCUmstqACwo24mvxL04zQtfxrU0oxHPjpvGaBVkp9ua8P6xbah32ZBlSMLsrgNRaE5DpcPKVi9ITUfe9qeYK47DofIL0DUC3vQA/GYO3kVSi9Ep1Xbn9CN62pHDtK+hukMAX7bTzc24fsECVLe1hfjkUU4VSXd6kokuEIYq2RdS9VmKmAtSVFT6zqDRINDkha5ZZHkBpKmeqDItGa2+bCwrw5yiog6P37bT5Sxh2G32Q0WKNILIqtzK0Wy1I3bAPMkc4MeNcJJsapaA92ZcilPljXi9ZDNTRIln9N3O1kpcMXogvtt7LAJwDu2Sh6fnTEV+WjK7B+gYCbR2JJkaEiCNViBiPOcwdTYZ5JMzRVFvdltFty89FOnVXkzRrxORVBHiMMv7INqNmK/G21dfioLUFDwzdzWWbjrIvpdZRnriulsBh1Tvr71DDE8wfW31JthJ/jV8eUH6l5Jtu03OR9+esauEVHQtQhZTyZgeOkVkww4ozHaVViDVZMDN14zFR19vZe2pAiJMDQEIWoE5sX+4/XxMHtkbR8/UoanZgaJuOYxCQUayjxMH9mDFmTweHxsr4nvT/UAUGwLL0WNBOQYvvPgterx1M/Lz0vDaHy7DjoNlWL7hIPasOg4XUxSIb8Z6PxydNECDDzc/+jnvM4EDaZrwkIom3QOSMhFdc6yIlRroXRhbR4Xsi1W70dBqh+gJQG+PXT0IvifqVGuAqfp0xJS09MtrmrF+Z4ni9qoArz/QnlF+QuQHAsytlB0f/ypnK6VU9dYlQu1XwZesh5ekMKXfRxvdMz6vHz+sO4ybrhyDr5fv4eBeboxtJEWWNSKYxgUlxIkiU1t6+o3vWNGxe24MrTqHX/9frd6LT7/fhfpmzgtMNutx+ZQhuG3GqJhq1su+2ApvuhHeFANEtQp6WwCaijZoWoj/yK+xapsfJqMO5e0UzKN9V5Q3xR/cs/Yfs7MA/2eyPim5eGnYjXi4+DMYtHZW3Eo2Ar8E7m2uSMpMrikJTx74AbWO5LDoh8C48/TqndKIrhYdJmefz74pbtkVwddXBN0IoMzJJChwaf5IfFW2PYKrKk9EbW0G+MIkLOV9O906eJs0yEwLRFf4VjSK+Pv8oXbcPi20Gh8HFxLhmqg69ARZXbsXt3W/APkmZTkut9+LP+6ZjzXVx4L9CY6hX4CzKeqpGzZpBsyk3a6CBioGov9x2Uy2FBrPSHv/im6xADdNZ8YdvSbh9p4TMbvpCxypq1eUBKVd3zx8KNsXgbFn967E3JKdIclOiHjr8EZYNHpW8IZ+kaw14Lqew/CbovEw/ARZ0P552ThaXacITGhfVBDLl92e/mfkb4li1VEj1Y2bFy1CnY0/WJjTRzrYEi2AOXgE6tjaPE+Y5JmgoV0Hz6SbV2T97cVjMWVgT7zx+XrsaCmTBWjicvSjTVbv6YiRLj+NHRNGSSYKUNR6PstrjX1gkwKIM5MoELEgn+61kZN74KFLzmWFvpZv53SaeMZpOgKa7C4sOHUIC++6Fg1WO3M+emSno1tWOg7W1uLe5d9iZUkJvIEA9EY1RPIB2gt9KlhEUm50XyjwTZ8rqhnxf3Q6FXyeBNcUQz/8Ogj7WRCQWurV6JGajq/X7QuC+6hdsHGn2ge0UsKq4cbZFUUQh/Xm8sFWpwsLdh+Mn0MgALurq1HbakNOcmSOT6rZiKmDerFcAEWQTw4VOTf6+INN+1118ATuf+gWDC0qwNff7cGBY5UsAjpueA9cPGUgFmzch+e/XBvcB0VZL5s0CPdePiEo1ymoVQx0u81h+6K5wyfCXOOD1hnZP4fDgzc/WIsX/nwZG4/Rg7piUJ88XPtjCeKVopKGg0WqqRI0FQYjC9ZBkLZRewX49IA3ja+myPkclMh+yfj+iu3SOSXgp3UlDofSPnQ2EfYsSZGMVm9MGrbaQTkGGjspEfE2KHG3V99OTPd/+dbDWLzpAGqb2qCVEuGVjMB3u7cHW1kir4WomAI7Hw9dNhGf/X0jWpC4Ng21b7Ry+eOAQQsV8e4TgWFRxI7i07jxitH4ZNG22ETxgFwQTohR9SHH6oslO3HeuD7o24M7qDXlTfj2iy1Ysv8EaqMqprfa3fjo2x1MReuN+2YHnaOGRhu+2ngYnkxzqH2q8ZBthi/VAENZM1v5qK9qgdfjQ5LF2G6dBnPSv39l+peiovPfbGcB/s9oE3P64Pspj2Bp2R68cfR7BOBn4NfukrLbgiZicHoevq8uxmlbvQIdlsfaTrVm4tVhd8Oi5URXT4D0d9uZUNmNKqDAlI1be0zGyuqDaPE6IgpXeb1qpvgSpwX4/Co4XHqYjO2DqBChQT40EXaXXpIKDCE8ov8k6XzYUH8Q13SZpNjWsweWYX1tLLhnfbbLSEUpNM0ncZNFi2v6DMINw4awyOH/xOhB8M7sGbj2y69RaeUay4ziINEBpvftjV+N5oW53jy0gYF7Mu4MhMaEJ/Rya/W68O6RrdhZX465k65lOQHhVtrcjEWHD6PG1oYMkwmz+xWhT2Ymrh41GPN3KpeNJ1N7VDxRjM3vSpOXyCsWSxV3aUVkYl6PDo/F2lOnWIVcZqySZOgQZUoLcZYZf17HqQ3EwVUCzWQGjRrXjh0Ch9ODbQdP8wA/aaobAb+2Y4C2KFs5sqhkKUY947V7fH7om1Vwp8u5Ce3/1kca23oRepuATMGATikWjB7QlQG23IwQAZ3ab685isxrm4kO5sfv5n2Ld6+bha6ZvArwmpMncfe337BtZIfSTbK1csg7UX9p0cYpRezl20ENuOkWiBc5VYreh2vys6JZibJROd84XpccLg/mrdqDVXuVI6/y4ZCzQdeMdBiK7RGQPNXWggPlNWh0OJjcZiJjIKu0HDMGx0rwPjDjXOw6WYFmuzMS5Etjbqrzw96l/cfme99sxWXDB+C5hy4NJkxS1dmrH5+LM3WR9U5IDWne6r0oqWjA2w9cxhKAH/v0e3hIJSfK6LzZ8jWwlPsYlSJ8+LduKcGR8jr0K8iG3eXBrW9/jUavixYyE9LIKPlXBvdKxug0bkkmkiUoEzACHr/9QqRaYpUj6BptbuOc9ESVtoPt09SjU8GRrUXAQMWgQt+507TQtvqgb/Zi4tT+cPv8uP2lr1BSFZYrQfKplIwd0jNgpnYFWDJxwKiFyulNeP+p0004pyAP/bvmYuaY/ujRJQt1xxqxYOnuhPKjN141BhaDjinNjB7TE7c+OBdee2Qhv2gLBAJoaXWyV+RSvuRYsws/qrcSwqYVt7kLtuK5P87G+uXFePn+L+G2aNAyULnIJJ2LHYfPYMW2o5gxvj97f8+fvoCb7pEoJ4Jtr1PDnWuBobKVJc3Sa8rU/ti/tyzu8dD1/Uuj5/xfsbMA/2e2ZK0RN/Qch/6pBbjmx8+45nDY1EN/mTV6PDX8Qty67e8J6i4JrH7OroZqFBRyLnm+oTP2ggNJJaNJmWg1FDm/vutUpOuT8P7oO/CHvV/iRFsNA3i+gACnq30U5XC2D/BpzqDViegP6bPI+Yu4+hq0iSo4fMrxplqnFd9W7JNWG2L75aPiWO3kE+SmJ+GRKbHLmz/Fmp1OfH3kILZX8gqLVw4bAJ2oxsoTJ1n0sFt6Gq4ePBATu3dlToDd62G0nET94k9picoEEbsbyjHv5F7cJFXuJUDy3Ib1+HAPr+4p23u7drHiVy9ccAF+f8E4vL5yc4Q0qBx1uWLEQFizW7H01DEJp8hjKCV8qihyRXtWs/Y7m1MwJb/jAH9TWRnT0CZJQRnchzPN5b8YRcojwJMWgNHFC4+Fbyfr+d914RgkGfQ4VlbHrn93GuAzRUWY45xu6j85PYNyeAJyR4xkUmcNKcLCPQdZkqu+XsWi+JRAxxYafFLfYjJKuRFH15kGPHndRRjfIyRTG27n9umGpXvjR/HDx4L+JR7t5W99jnsuGAOr14W/F+9k/NoYqBEOspV9N6gpCKlXISfDwhSmGrxO+LQkBxrFEQ72JQG4l4xdZwJPmoxnpD4Uzwg8f7PpEJqjqhordJ9FkJ1ZIoz1kccrX8VeA3CyuRk3vTMfv7loLDpi9a12HK2sQ63dxtrpm5OF3BQLctMs+PK+a/Hmd5uxfPfRoDNF1BhTHUeQ8cupSf0SRXy/7hDWLzqInKxkPPjrCzBqWDe8t3RrDLgPt11Hy7Gx+BSyMy34cX9sHkb4Te1MUyOpJhLR0vX5zCvL8OGLN+Gfq7fjWFU9NJka6Frj5xbQz10ZGtAiaiJjw060LJWAsYO6MenFwb3y43RRQJrFyEF+B1bcaITzVCY0mZQvJm8yoXdgyar9+G7vCTSYo8EpBQ1UCHgp1yNEYdLYOK/fn6SHyu1jajxRbDP2ftCk3mjxBnDyh1LQ/759dyuGDeuKK68Zje9WHmCBhmiQT05O1y6ZuOl6nggr26Cizti2+1RcmheN3+D+VLQq1IfgAMs5SPFuPImjX3ysCqeP1+Cl+75g/XJkkwwWnRwh7vlYsLaYAfy5C7ehpoaqusffR8Cih6DXYNz5/VkF1SkXDMBXn21Bba2VJTtHH4/FYsQlsyITrH8RJobq7sR8/r/EzgL8/5ANyyzENxfcgVf2r8WPVSU8YCYIuKSwP37bfwKKW7aA6pokMuJKn7SFdKTHZk7E8uolCaP4zR5OzylK5olKheZMfDnuN3hi32IsKS/mEVem5JPoIieeqgo+rwAtcXUV9idLhNN2srEqtR4N+5ea12j80Or80lwjwOtXY2dDJTbXvg+H34O+yZ1wRZeR6J+aj411x6OoRJFAvyPLaqRK9D+xTWfKcOfyJUyrW+7J2tOnYNRq8f4lszCmc2HMb7bWnYaTypsnMKXlz09LdgUB/j927mTgniyaDrT4yGGkGQ14dOIk9MrOwIcbd2N3Gc/D6JOThRvHDcWlQ4vgCfjR4v0KG6tPQ/STk8eVgUjViJ1Bkj0hXWuTBZ+cdzWvPNtB406qrIGusOQpSDJzZG4gkAQ4O4nQNwpBXi/bTg2kdjbhtkm8/gHxkoPgPuyBRIocxCmPVghiiag6HV6bflGHqj6G290TR2H1kRJYHS6eD9AmMNqCbKSmQ+o9Skb77WSxQGUPoK6pDdnppBsZaecX9URBWgqqrK0xD/9oR0c2SrZ7afkGpkRDgDxxpmBYeD4MBJNkJXHZnSYRZWhDaooRXrbgJMtbhf1e+g2d+gSsh6ClmQxos7tj6TCSzj8p3SQyijJ31NhKiVZEslUNv4OjUaJ9UdIuS4IUReZgLt91JG79i3D765KNeE0ubE2SqzpgSt8eePySKchNteDxy85D8ddH0ObxMA69nKDMdAkSgClmghBMDK5raMUfn16IV568HAvWRcoMsh6qwiRSA8AnK3bCE1YrJF77lAgdUzdBFFGztxb33TsX+9NdbAw8KSq4k1WM5y4oJoGTnKMa6vbFg/DgdZNw2dQhHZobLh0/AHN/2AUfJeI64h8PcxhG9sCh6gQJTaRJn6SB0OJHo0HBE5GjzxLljFYLWVRfpgiqVfBmmKEhlSw3p4fyzwV0HtAZe47VxDRZXFyGw4cr8eAfL8K7czeiutbKaFYs/8UfQKHRAEtZE64Z/CiMZh0mzhyOmbeeiytnnoPNO+M4Z/TbADBqaFekWIzISDMzGl7EA4CBzhDFTakNcluWzd0kzXEkBKBJeD1Sn+XE2/nL+XMkodH9Y9Diijv4SrrRqMMrb92AP//hK5wqqQv1lbbz+ZFp1sHNZJF/WSaeTbI9a/8/jZRV3ptwFWxeN6weF9L0RpbQSfZ+6XoiKyT8PckSGsNUZ9J06Zidfw0WVn4eo3pF5vBp0ew2sbljVc1u3Nx9Gvt8e8MpBu7ZtlLFWV66PP7CLqnotLSYkZHhgEZNtJTQWoO8P7c3tDjscavhDurGSxOTTwWPWwuj2S1VdxWxrb6U8/YDKpxoq8WSij24s9ckpGio31LVVgKMUWRstZboTuGIJRaEDc2OVc3pqFW0WnH7t4vZ8n+0m+H0+nDrN4ux5vpbkGeJ1AV0+jsOYuRxVakCqHDW4+9H1+OSzgPx7s4dCX4BzC0uxm9Gjcbkfj3Yy0t9FIn2FPLfie7z4bnXYn1NCRaUFqOkoQnNTT40N3jYtikmPWb064M/jT4XRm1Y5mUHbHBuLuYd2M+eR9KagNQ3KnUuQjSKCJAkJyX4Enh2q+CnfI5OXOubwBOdTgJaT08dHwTnGoMavnAOsmTkRFBElagbsna7SavF5f37447h5yA/OYE2Yxyj6O28O67G09+uxeaSstA59lP0lqvLUDFHLzUdfWt4RbTus+K+3YvZPXfusB548MYpEUCf1IZeumo67p67BC0OklCUVlloNSsBcme0pvY0K6Wfk6Y9qfYQ0CFniyrasui9RJPyBUQ0OxzISjGhvi0WfdM5GFzYCb3zMvHFgQMJHQoCC+TYje/ZBZtKyiIANSXp6innLnGuKvIykuEM+FErJQXG246p7lB0tGsnHD5SA1D1U6U+iSKOVTVg/MCurNKuUm4MjzqEinExHOXhVZ3XHTuJIzX1LP9hzepDcNrcMREwShg2NAXgyuBFpmLbp2qsNPZ8B1xtV8TfPlgLm9MdMdbhyeJsa43AaEYs9UnuXNyBIV52GAWGnEQfJaIDJSdqEchRA/k6tl1rdx3M1T4Y6n1B/jzt35GtRluhFsML83GiqbJd9ZDvFuzGoIIc9C1SjtyH27VThzOePKnp+PRUYCv2cAjc67RqTJ7UD2vfOpW4QQL5ZlVIiSiOUZVfpn4T/YVaBV+aiSJOrOAUK+Kk16Ci2aZ43HR9U5LzssV78MX7d2LnnlIcOV7NnMeDS/fgwKbjqJf0621WBxb980d899lm/PnjO6GhlXAmWBD7EBY8AfzxyYX48M2bIYQn8IbVcggussZ5BPfulo2dK4+GCnqxGE38CrlyTlVlbQujBXUkqnv1r6eg54DOEf1rabEzZ5pGlwqGCU4Pcy6OtrTilrvexyOPzsL4UbHys2ftP2f/NysT/JcZSSfmm1OC4N4b8MLqq0KSNozMrGB0X0/JjVQK6Z8yAmdsqQzMy+YTVah3JaHCTnxeDpJX125nsppkn5duk+QguWmZrn3im5QKbnm9WtTXJ+GctF4Rvyfw7fBog9F7n1cFN8szCAfg/G+al5x2nTT/8egF6err1P6g0/DeiXUsTyBypUCeAflnOjMrLxm3v/Swv7E/l9H7V+zTA8UM0CidDeoXAf/PD+4PJgNbPU7mgPVKzurgHqiAlo8V0ZJB/ttH12H66jfh0CfgOrDrJcBUY8LBZDi4l40eTpM79cIF6QNw8pQDzVYviyaTL9fq8ODTXfvxwsZNcStxKpnL58Uhew0CaT5WBTZ8TEhFxZ/mRyCFpDKIK8LXDAOmAGAklRNJpcYksMSyu4aPwJy+oev5hyMn4gamCBhr3MQdFrD1tjtw4J7f4MnJU4LgvsFmR2ljM5NK7agVpKfinzfOwar7b8O47AIYW3hBJZLzo24QT9lYC2gI8LuBVFEHU42IpNOhCC8N3aa9p3D7U/PQZOUgmqg1z3+/Dtd89BWavS6+bvoTCtlEFY2Oa6TxbqoWYKwRYGgQuPIPK0AhUW5It12EIriXb519Z6oxsnsBrhg2gNEQEpnD48Hx+kZ899ub8crl0/Hy5dOx8ne3YGSXzvCktDODCMBlkwfjuqnD424SzL3Q8cJUFMzoyOr57MFF6J6VHjHbBBsMU4MJP3QCypSwXNPahpe/3YA3vlofd+Yl/jslV8YgQ6k4kKWC3NeIj1FaHgqR0zGw49IDHosAt0VghZ+Yk8uI2O0fI1M6CQP3ZLIsJ1FRSPqSB2n4tWbP16JxoAFNfXRoGKBHw2Aj8obn4aM7r8CLsy9AioqWYuPsmI7LG0DliXrcd++nOHJYWamNzOXxstyKX704H62tLlDmiduigo+UsaKeZjnZyXj9uauRbOlANW+aK4KF7eKYVGxFr1ezmiWCVgHeUBRep4GoVbO5z+OJz00i8L5/fzlqalow6pzuuPnacTA2O3BwMy/IFk7boai+y+nGEw98ziIBVIGYPaDlMDGJDnhE5mC5bR788YXFqG8ijV2FAEawUeVjvP2KsRFUGcrFSGiU91ZtR9npeq6AlHhr5njNuZLL8ZKtXXcE19z0D9Q53Qjo1IynT5KalJRLkqCeVB2sBgF//Osy3PzHT/lx/RJMTPD6X2JnKTr/hUaFhogLn220wUYE0zhCfF3NBujVASypWMOUc/pauqOrKR8evwnldiqnwaPdnAcf+fsGdyPW1+3ClJxR2N9cHhGB12gCUFHlWr8SVUeKMqv9rAS436/G1QUTcWnBMEarGZraAyWtjfj1ts/YJEtzm5vx4+OtCPBMdp9XDa3Ox1cPGC/az6L4lC9A8ogba4+hwJSOSmezRNWRI2S8TbUuAJ3ZDY9dH7ErOen1vnPGYnhu+5GneLb61EnliGBY9HD56UM4LZRjfQ2nE6XqjLi66wj0T8vF0ZZaxd/LnHgC9lGKfkFKkjbTxSg0AWf829Xpi10iJXD72cF9+PLQflS1tSJFb8AF3Xviq30H+LM/rD9yBPbTfcUYXdAZ03v1bndMyKm5adXX2FlXwX0zfQBCGw8/MrBiCXBgzw5KOmVUk8ClhiAl9JLT0SstnYHzUZ0jC4C1utzsXiBHKZG5vDR2vL2tp87gzXVbsaeca2KTitGMQX3xu8ljkW3pWGXk/NRk3HfJeNz4/Jcx37GCSVZJYMbhhtJaB0XKa9psuOHFL0Bkrja9F03ETZLGga3Cq0VOy2MP/cSoleguSCRSIUoFxEQuwxj6oRTCifKLE63N0fn4css+PH/thVh1tITllcS76oluUN3ahj3llZg9pD+7hh77ZhW21FdAsAjwuKi4kdIMAmRnWDBn0iBW4v7w6Rp8v+NYRGaI3H9XKh9znxBgeS9E72JtJngI56enYN6d12Dx3kOYv+sAalvbmOSnvc0NeBIcu5dTob7bdBhGiHEfjhTFTz/qZRFwfS8LmhxO5jnprSKMjQFOEVFKdJYSuVlxofAEZ+KQEwY00GoRr7dAtLaYnobdr1RJNQQERag9gYgxoT5qaNzCEpSJkuIzh5YNqFrtbe8sQEorYDjjhJCjk2RXw/YrFz2ilb4A0UMCePuNlXjr3VtiDtHu9ODXL3+NI2W1Ed0l50yTqcMNFwxHikrHrrHuXTIxZGAhA5NVdbGVf2OsPRmXMHvniavRv1suFi3cibffWh2nOaKXqlmUvj2jysR5eWlwu72Y//fVcQMgBLptHqIAUd0VEeo4HFsa3dPk8NFqRJxod0Q+TBiNrn/PXAzu2xkDRnTD5u8PsCi+ECARBT6nxLQnnT+Vw48fvzvAZC/dHuIbxk3ZwTnDuiJZSp4+drwaz77Ak/tj26br1Q+PRR387tSZBvzuma8x9+UbFSVNz9r/oQj+888/jxEjRsBisSA7OxuzZs3CsWOySgq3m2++md2M4a/Ro0dHbON2u3HvvfciMzMTZrMZM2fOREVFBX6JRmDmk9J5aPGZWGGoTmZrkPDA1E6kx1+KzoVOZh/uK34Bn5xegk9PL8PDB15jr7GZ/aQHJXFRlfn0OnUA39dsZH+HR9/J6F41mTyMIx/tzqo1fpiT3NDqA7CkOpCT2YY/HvwHnjj4GV48Mh+37HgVx2wlMLuz4WzTweMkzn17Yt0ifIwDTsW0eESF5hOtlPlFQPdoWzWeGjwLBpWWAX6Wb8ReEnk1IMJrI1KuHPLkr3yLBR9cOBu/G96x5Lt41p4yh8rgQ52hGhtqQ7kCLR4n3ju+ER5Q3QBtRIKsdNicr9yiYbzneCubNBbqlMTJiL0zIqVFj9TU4ZLPPsWLGzegzNrCovwNTgcD+36SXIsD2+jh+/HeveiILSs9jO215UHngCqqBqS22b9EywnPhXOpoKIKwGF4nX57orEJz2/YyFYDwq1Lemqwqmc8IwCfZeHk+O8PH8etny5EcUV1xHlbUnwYV77/JWrbOh5ZIjWNP14zhXU/PJLNNMJVAs7t1y3ic3YVklOjAotWkl9e1dzG5BibxHBqhgiviYou8SqvnkxKIuZUJiULLtfH3oohEwCdlLsZTqmPqW6r/DbC6HyU1DYwJ2f+bdfE0odkrn+Y37bmKOccf7V7PxYWHwpu5mLHxsck/OdUXbdU24Z1J0oZ+Hv61guRWmhmdCvalkAmFbly0iUtLUQybX7GfedqSnGGAZ3TU9A/P4dJ4F43agiW3nMDtj38axSlZkFIAO4FWQHKLQUllBRspOi7x0RVabVwp2nQ1uSExioiucyPpJo44F5qf/rIvswB86TIk1fUgiatxlGVZnVoRYi8KG1bAOYqH5LL/bCU+5mSj6HWC5XbD7WT1HQiwb1s7eVRyPet1SKiLVcDU5WLKdYEI/8iFTzyw1TtCoJVOgdHj1Sh7HRDTHtvL9zItP2juc0sF8Drw8pdx3HFzOG4fOZwBu537C3F2x+vw+Lle9CjIDOoNhQ78JwyqqJKt+3QP4x6LWDzYvOGY+jXrxPOndgnGJWWTa3m4P6yy3muT3tmSTbgx3VHcNXlf4OtOXFiCT2bfsoKaLsW1lRRz1y89qfL2N+X3jQeXrUAV6ck5rgxh0++ZsJOAK0oGawBtnKw6cejuGTSAIgGVTAnSm5e/lerV+OpP8wM7nP+wp1xzwv7lG7JMEeGVkVOVzZhw644eQj/hTKZosLrf4v9RyP469evxz333MNAvs/nw6OPPooLLrgAhw8fZkBdtgsvvBAfffRR8L1OFxk3+/3vf49vvvkG8+bNQ0ZGBh544AFccskl2L17N9T/QuGgn8MoYr6r6SjW1xXD4Xch35iJ6Z1GY0fTTqyqI/49mYBUgwtJOjesbiM8fjW0Kj/yjG1wBIyokQrhhBNHzjiqYVa3MqDGo/IRi8XsvUHtY8C40skTdCdk98ayiuKIKD7No0aTlxWmIq48T4oNSFx53laS0cOq6opRnPPPytaiT34hNhzX8D22lzQmdY2iHkT9kfdPVXvDrXdyJ3w54W58WLIB31buC/bX79LA1aLnycF6Ik1LYUqvgDPNVvx6+TfQ60V0zdfAp7OztvundMYVXcZgREbH1GKG5eah2tamHMUXROgyOI8j+ns6NxWOJlzaZQg8PgHfnDnEiloRcArYVUCrBupU4sEnFDaA2uiHl8YjavIhp6FXRkZQNWZnWQVeWb0R+yp44piO6iJQ0RSzXNFWMvqbVbiMbI8exvtrYpPOlOzzY8XsgRa8/lhhJy+0dVp+DsIxEkWMXPxeVNrngdoafLZvP24fHqJsXDygD57/YT2LeioZAWyKzhOYI3WYR5euDLYXbnRO6tvseH3NZjw/i+edyEYP462ny/F18QGcbmpBusmImQP6YXq/Xrhy0mAM7J6L+T/uw85j5exBN6aoK66aNBgfLt4WXEdyp0pAVuKG01I8RZkp0ZKSQCPAfViV2ODnVMwolZAWRWLDnQaSNuVBDbVbZBHeMPGj4Mk0NAJap8ThpaGSU1/ihOoTRfDJjFJ9CHKwiGIRpCJI9Q3k25LxyFW85gCN44db90RF4AV4UgnQcl46+w1jDPEr4O01WzGtfy/mjFZ57EC6cn8iKAtEMdCGJaZGHdftE8/B8u2H4fUFUNQlB32lQkzJRn37ybfUN0mYhs4lVShlRZjoGFPV8CSrGbWGVbCVtmet6QF7vgb6Jj+MzbHt0357dMvCA9dNxpqSU3AJtNwS50CpGJIBMJAAjTcALRUgcsVKVooGNURnSCM+Yn8qAT175eKua0fguYWkt69MLQw1KsCRo0FSlQeGJi/0TV5+bmmMZR89CuSRokqXrpkR0ftlGw/FlZRkwK+6CXuOVbDK0X94ZiEqqptZ4ioZoz8aVKzvEW3IKka2AKur4fZKtL44k2VKkx+/v3tu8H3nwnRcffVo7Nt3BqdPN0Cv12DipL6YPeccpKWZsWDBTngT0HTy8tNQWdWMZ/6ylFFv2lN719icLKE3nslHRuOa8JxIkXe9T8Sk8/tj2vh+GDWwaxBsl1ltcPTLZPcdu2YlIE+J54wnT88Mb4A5xoJEsaJxvez8wThYUo0jJdUs74RyoNh8QNe+UYvXn7ySRfll27qtJKGuPxldpyRzGnyvEvDj1mOYMrr9VeD/uIn4X23/UYD//fffR7wnEE+RfALm557Lq7OS6fV65ObGVh4ks1qt+OCDD/Dpp5/i/PN5wafPPvsMBQUFWL16NaZNi3yg/zdYq9eOR/a/h2NtZ1j0nIAqEVHml/+IZCo7rgpwiUkpxKNRicgwypEDESaNAS0EHijBx2VgFW51ah/Meg8CQgA2v41VSC23tzH+vfw0oei/QeNl0Xsyo5pzH6/rPhpLK5SjthRZVgWVbviyPJmBuOJx1snp09PuMxiVX4TtlfWcPxl/Tua/CQjwWrUQzPxpFv4cpp91MWciSaOHRWvA3X2mMKrO7qbTrE2d2QetyQePSwOnQ+L6u1UQ3GoOkowu6Du1opoAigQ0NtYfxbq6w7ih27n4Te9p7SYGXdynJ5adOKr4nZrkQhP8nADmD1WHsGn6Q3hm+EX4uHgPXvqRVk9CS/QdMXoWRiwkUGDLL8J5xI5/LNuK7j0ycf/i72IeskzRxCrAmyI/HOUvlCe4aJUMUh9aWnYA80v3otrRimxjEi7vOgRn2mS6VFiXtIAn1wtVW9SqkFsVlMGMZ5/tK44A+MlGAx6/aAoeW7YqpqsE7jPMJtw7aQxqrTb8cOQ47B5vwnPw7cGj6J2fhR3lFWxFY2BODo7W1GPN8ZPBCqYExjaeKsN7W3di7nWXo19hDp646YKY9kgGkMzeiSe2hhs9YN3pQKBNSoCTjIAbH4yoxqSDowReoYGPEfuIFaCRgDUVLHNKtQw0wLk9u6L4cCV89V5WsTjYlKRgQ6owiUBkPKNxmD6YRz3JSJnpWG09Aj4eRQ83ooFQe5T30Oxw4kxzHAlIAtaEjERpPKQisyfrm3CmyYoaa8dWVph/Kx2DVqeGz+0PgnbSIu+bkokX5q6NAPEDuubi2dumY9qQ3lh7MHFUkcA7q94qsUHsuRqIgg+eFDUCRKcQw8F9+NIU/9udrmYRdV04IJeC9ffeNgUmgw49emaj7uSZBAfJE8fpWDV2kn2MMz1QAMeo5smOUeeT7v/rbhyHcWP6YPKA7nj7+634emv8OhnMVALcKWrom/1w5GrhzNIGOe86qx+mWh+0jtDFnJoapltL8311I9xxKmoHd6ESsPdoBZYvK0ZzCxcbDSaK0mXtESHqCJyGouCUOKx1ErjnbSQ1+ODspGPUt2jTN3rhro3Uu68sb8aCz7fiuVevxvAR3WN+c+21Y/HJx3wlW8luv30i3nl3LX+jUTEOuuCJzLEIN7HNjcxUE+pbHIrUND4QPOrNAgIJIjv6Rjf0TW5cMrQXzhncLfg5gfPn3v5euhcEtlrKahRIReSC6kFsp/xvtZvnPJ08UIm3n7gSi1buw6KVxaiua4XRoMUF4/vhmkuGo3Mur7shGznKiYwhFIXrz+H65anq/J8G+Pv3R0p8JbJBgwb9S50hsE6Wnh4Zylm3bh0D/qmpqZg4cSL+8pe/sPdk5Ax4vV4W+ZctLy8PAwYMwJYtWxQBPlF66CVbaysvVPRz2TOHPsGJNk4hkqPQcvXZVq8KaTo1zBoe1fUTPz2iHr0AjZCN+jYn6trMkpoMj8kRpSUvtQUWgwc2nxcun4ZF/RnlRuNBks4TrD5LUbSJWXyJsncyVdm9An/as4A9HGPlKGkiVsHPCL68HxZDYsoIOS7DCpJwSeEQ/G3/ZtS74zzEJZKh36qDTx/5gCAOvtyD67uNZSC8yW3HTVv+icao9hjQN/igUouwNxkYuGfHqRKRktfKVQHD5lF53D8t3cCi+VNyB8Q9lo9Orsfbx1bDmKaHs9kYEQNllWm1fvZvojiZ3edBrasNBaY0fLWXHrahzgQ8aqhIgD2BZeqTMLH/YCz4f+x9BZwd5fX2M9dl3SXZjWfj7q4kBAghkGCFErRooaVIoZRSKJQWaCnu0hAkhAQCRIi7y26yWXf36zrf77wzc3Xu3YV/2w/aHLjZ3Xvnzrzzjj3nnOc8p6BAaFJC9HbizrYAnS4bXtt2EM7jvl5VwXMjFlarzBxcCf5orBzYo/2Y09f/MDG57PjZjg9R0NHgW7zZbkZB+7dQsexYeH0HRVlZIS1NsYTzPdHVYmi91CyLHuw7qsvx1qmjOFxP1wiHvIEpMLc4UdsuXKekub9o2EDkxiXgmpfXMIBIkSuJzhHJXB4vnvxup1AbAmBXSblAfQno3imBw7KWNty77mu8f+3lsutaNG0IPjxwAq442QkXthdLjpXQmdejDXGu5L5D4E4ryPxJSrVszsVjxdL/HuChubNww6Sx2NjrLH77fnCQxEdnidT3TTyIclF8AstalQpXT/MXo187aQx+u26zD9yHgRYe2F1QgdtmB9Mme2pUqJscEwwWI1lg8ur1m5ahqc2MNrMNiTE6/PObYzhVUhdG0z5b1Ygbn/0YHzx4FfqlJ6GiqV1W1pOM1JJUCUp4CAyRKUh/X806qgrdPqVMVWQqiSNRAU29HxT1zk7CfbcuwOjhQn0JY0P2wKEnJ42yNtEX4ljkVEMOXcA+/eLOBZg2Q3DSkmONmDO8f/cAn+77Sg4deTq49QF8QcrCxCvZK67cycB+ckoMBg4KDrhJkfjo2xAUflojKNfwHp4Vp165dBwWzBqGLZtP45tvTrF7p7SNuTOG4PrrpmP76VJsOVLEpFYHZKWgYHMRbCHgXtgt4Ux/6YXNeOvDW8MCOZevnIj8xibsPlnOagw0di9UnR7EGLS4864FSEqJQXOzoJdLjocrPQ7a6vZIuwfo1Wi0WoXnrEyUnkA9OcaM+mf3wqNTyKvtuLzQtAvPWFOH0DRMsk++OiZm6MW1U9aDaF2i48yFgnuzW1AgUgDrtp1knWzrS5swOzMDU66eg9ET+zK9ezkbOCAd587VR8x8McZeiLIR6xGQHSEd9yMy/nwnW7+NHj2aXRyR+GXSZ/TT0w1fWX6yedx3332YPn06A+eSLV68GFdccQVyc3NRXl6ORx99FHPnzmXAniL7DQ0NjLKTmBjseaanp7PPInH/H3/8cfz/sGJTNU50CFX48sajy6VlgJxRM1ihrAcuJsAsXEhnWz1o7AoMGwrvuzwKVLYmISXWDDtDPJL/xsPuVqPLqUNGjAmUTTOo9Lgw058lWZg1HCMTe+OzyiM41lbJAHqbw4wycxMcbomX5r+QKXofLehNALrJ0YEHxozBNXmjMeLD52GhCreQoiH2h024uZAmu8fDwWLVwu4QVHiUKi8W5PTHZTlCZHd1xX602E2yYJpoRxqtCy6lGk6oGKDUxQn6bJHGSqBpdcWeiAB/ffVRvHhuC/tdl2SHUuuGvVMHt1jwmhSnRVyiFrXu5u7oodApVKyxTmVHcFGZx6yCKlmcmggA/Wf9J+HmQTPQdcaEvcUV8Ir0GkcCD2sG4zdB0xX5IcvgNT1Y3CLQjGB0I79xrD+K/vjxTSjsFIvmxPekn254oNJyYpOxECOASXQTKrKlfWKgOnoE36jR4IUj+/C3o/t9xdFk+eYmpshzx4KJuKhfHjLiYvHk+m149buD3497Ejh+ArlROq3Stg9UVuNcUwsGpwXXN5AN7ZcBbS89LJ5IIVZhG0TRIRUemTp32eUZ/SQkaMbS+QogJzEBd82cjEtGCB1Yl0wYwpyWv36+EyaSYOSI30+pDwXSjEY0Ncg41eKxkDIL5CxJFIl4gw4v/vwSZCX6ZUYvHTUEr2zZj7o2U8SEQEOnCYdLqtE3OREVre2R3VyR8iGZWqlAr8R4dtyzEmJR1yECKWnFAfPCTDy9U2OMGJuTDWUux/o+PPHZNrhb5R1kctzazTZ8uusUXrv1Mlz4xNvBSjWiw6N0gvGUZ+f2xbHyWnRa7EImLOCiZLfUaBc5nbNawJagYPv5+C2LYFK6sa2iAvtqa9A7PQFJRn10qpAos8loFcElLLKWN6o3BqQmwGZzISc3GYsuHI209GCZ2P7pyd0lbgRtfaMiGNwHfEbj6srVICXfhjqVE6dL6zFyQBZauyz4eMcJfHO4sNvsEO1zY11H1FpZmvM9B0pxx/VzMOiWebjp+pk4V9TAehwQzSk+XnAGr80Yh2tFBabDB0tx9APq4RJFB76yFUXn6jE4zy+VfKKkFve8vB4mqwPKeCUbl5PnYcwx4A93XorRA3th125/TSDR5TwpRigcREMUGqQF7jIp89j7pbC0N+u+TCxFolDR/0QtE4tq9VoV7DankAGzCfQWX4EsfcfphbbZ7ouMp2cRf89vB46Xh/fSoLHRM1mq1aEiX7sHbg0HSz8d+5ze29PZgr3bmhBba4ehzYUvPz6EAUMy8cQ/fobE5HARguWXjmNFtrLzKv70BNBz2N9eHkvn/7Ag73n7/xTBJ3D977Q777yTZQn27NkT9P7KlSt9vxPwHz9+PAP7GzduxGWXXRZxfZKzIWcPPfQQcyYCI/hE6flP2KHWs4yOI0XsKSpudQoykWqlFzq1Cx4oGe1GxXl9IJ+0sImyQyC+oj0SE1C43bRZjDDoA+UBOV9EvNEcg1EpKjwy9FYka4NvHBn6eNyZN8/3NzWXuv3gh2Ga8+hedpd9vq+pDHcd+hDX95uG2/Km4LkTe8BTEa1UFuHiABdVJgor0hicaGyJ90tmkjkV+LqkEiNiD+K2YVPwRfXRMHAvUY+0KqotABJy7LBbNOhojoEuzi4W4soPltZ1uoMKRb1MsSXoM96L10u2B72nJjqQUQBOHjeH5nYX2jo4aMJ7GwWMDxgSn4k0fRyeP7Q3eJ7ouBKtpV0HTZI9LJhDv45N7o3r+09BfWsX9p6uEB8sHOzJPCy9eFnpv4hjkaJKjGjsf0AR6KDf7542BWsr8vHnEzuhU6mwu6WIPXxkJb9pNZQeJupQCCilKE6iUY82ux1elRe82guFM/LthgD95JzeDNyzuQ1AAex3Dnjp9CEsHjwYR8pr8M2pouD9ouhVlAi+b5+lQ9xN3yiIc7KvvEoW4JOZqYtUtJVwoia9OO89MhnwQ7KTj108F/2Tk8LuaZdOHobF4wbjy2Nn8ZcT+9Blt0DJ8ajymqAh/r6ME0NUCZ1WhQcvmo2iumYGvEbnZmHBiAFh8qpE16JmVtF2k2jBWwtKcOPU8UxFJ+p+8f7zY8nIPMTqhHvZA4tm4e41X8kmhNg8Brx/29SJzDGhzs2v7zjEGpIpCBjT+SzFlsSuoEzNyQus31uAMQOywVu87HyVNOgZiA6Yoz2nyvGPuy/FfW9+BXPIfvsoQt0YATaPGnjkq+/gcgsKTxKgZ3oD0TJNHEm/9owYTKdCSkosfvXARVGXy0qKw9S8XBwoqpLvsMpUmLxwxtPJGuFIM5I2j64cDZQqFd5afwBXXTgO976yHg6X0KmBCQVEcJrpeI/P642uqoDucRGMOsdKptWqMXJE9Gdzqxhh785amkwYnCf83tBmwh1/X+ejFQXOi83pxt0vb8AXj/8cqanhN3Znr0Smqa9qNkNBVBTq4p1ogDvJIPAopYAnZeTo4gicEC9ww7VT8fKbO9ifdM5S8bDP3xS59yobKcpxyOyViCGjgvffTQ055EwhUPrYfdlJhfscrNlaKOweqOmcosetUcnAfleuAbzHAl2rE+VFjXjk9vfx4ke3hUXy584egsNHy7FpS75sgJc5hGJdgPT5rVdOR07Wjz+CD6mISu79/zWAT6D632WkgLNhwwbs2rULvXoFNFeQsczMTDaW4mIhCk7cfKfTifb29qAoflNTE6ZOlVdOocg/vf5/mNMrgFCK0rWZDTA7AsfBQanwICXWAl4foqKi8IL3KtFlixEVUCLn+r1e4UX0lNDPXF4Vbux7PfrGRJ9nsmmpAxCnNKLNbfNtT610I9VgQYLeyoCEw6uE2aVl6w3aEtHg3QrsaSphyjL35S1GhiYWTVaLTKEqD4XaA5ND6+tqK5mEi545vgNDEtPQ7rSGgftYrT0so6A1OJGe28YyF4JMaHSTiyyXmppQb4vcWt5i0gkSnx4OSpcCCpXgkIUa7W2iRii8+uRcvpDqZ+Ca89E2PA4VHC16qGKcUOqEmgfew8FtUWNK7lBolCqcqWyEUy8WbnI8LBS5F6erp4X/bDn6mhtIVxsxJDuNNcaiZlXtnBV/zd/li54LiyrZA4wyF0xbWgZ8ZcfFoqrD5KvD48lRVanQ5jQLKk528lKpmy3RdsKpOgSkCVg64Q6K3IcaffZB/gm0FJvClmM+HD2rowg2+Wgr38NCVXwowlhQ38iaYbHi34BtBZabs30MeICwYjeXAPijoeVQnjsBo3hOgxfW7MLpinoGuGeO6Ier54zBoF5CjwW1Sol3S0+g1WENcoicSTw07ZS14dgc04si9SmxBrz4s0swvJd8XVOoUefmaEbYyOZ04fLRw1jB7D8Pn/TVNAQ+LKUCVjp2RB2Jidfhts/Ws3Nl7sD+uGjUYHyVH6yi5p9P4Z55y/QJuHb8KJYxeGvLIcFfc5MkoX85MjYFdHjolFPx6LTYcK6mGSppXBEcLgLkRq0G6x/9Of7wwWbsOuUPbNHxY8XjUSg6jB5FYl50nYrF4YGgiKK2jH4Vov0g8f5VZp5lfBj9Ri2eNxHmnZbflV+Oz7aewOXzo/f4ePTyebj6hTXotNqCwCwdJ1KiGq2Kw0EndSeLbh6DEpydx/78ChysrIFTBJvs+Cj9dRahT6gBvVLxx9uW4PlXtqCqthUemeJgNj9E78hJxvexxCT5otbAJE3ocp/uOsnAvVwmhd6z2p1YtzcfqxZNQK9eSaitbRNPKgEAe41aOI3RMYSfKhP8fo3ZjMsuHovPvzzmKypmy4rgXtNq812v9zx6SZBTX1bWBJeV0k3RqWKUBbClKBFbYQuqnaChOBJUsKarYe6th7bVyeogSs814NiBUoyfOjB4HzgOD/zqQowb0wefrTuCktJG5gRMGN8HsSlGRm2i5llk/XNScN2yiZg/VfSifvTGRSlU+h8vsi0tLcULL7yAs2fPspNgyJAhuOeee9C/f89USaQbH4H7devWMZ593wDubyRrbW1FdXU1A/pk48aNg1qtxpYtW7BixQr2Xn19PfLz8/HnP/8ZPzYbENuL0VdazUZYHOGVcERLaeyMRbq+C2qt01+oxfj4PGwU9e6BRUqDEiXlQHMJpqYO6HYdFNE2qvRocwhVY7EaO/ontwiXhTgMUr2JUbvQ7tCJmv3CtilbIHDohZvLc4Xf4s1Fq/DUnj043lgfnM0lzjYr3I+8bwQK3jhzCMkaI5oc/ogNRe7l6ELSA1PJeeCNwklhD1VOhSdPfY0VfcZjULygRkNm80Qp2iTw7fKv12HVMKdCqfbK9L/hsKuxDMdbq9FkNcOrofSpWF/gUyUCvC4lnD6Ov38+Pjmbj9nZ/fDI3m2wZvs/VlFHWM4D3uhh+uD2RIoGcVB1Klm32KAxiCFrNhUeQGtXYGyvLLy8TJBE++jcSby0Lzh6zrS4xYPtcRI65pkTE+rI/GrMDOQYkvHEsc042V7HjpWdd7FIpVLjAe/m4DWphGi2K2D8FPkiwGkw4OWLLsbt322I2muAPjvWWAdnk0t2OQau2Ir93Rtp/XR/cqnEAlXJAjrCRzJ60I/t7U/pbz5TjGc37UZNe6ewC7Q+Fg3mBY59gHoNa2pDx0JUxSHAr+nk4ZBPBgjfEbXsA9/junjsPVTmB8wAvjp4hr3+tOpCLBg7CPuqq3CmuTl8lUrAkSxw+jPVBlwyOA+jemeybseqEM50fYcJaw+fxrn6FphdTuT1SsUlo4dgSHoaaxpV3NASMbBFYxuYkcLm+dFFc7AwbyA+OnqSFTAzaWMPUNkk8Jb1ajXTKD9YV4P3jhxnc0xAZuPZIt/jNtIxSdHqcdXIEbj172txuKja9/CiGgdhjv0WCvRTk2IYmJKNYIcYNYpLijXgmZsvwrS7XvT5AgTOGZyV1QTn/Vr6xshsFebguAC6dSjEc5RseHYGRqWm4fP1J1gknMbp0SpYEa3ceSplpBzw4Nn3tjGN/Utmj4jaG+CT+67BG1sPYv3hM7C73EIty5jBuGXBRFbQPveR17qdG2mnKBPhCS3ApAiuimea/iyjRue0Enjs+guwaFIe00W/dNFobNsr78SREdhdtqjnDQm7zHZsPlzkC1ywxKSKY9rsbgMFJzhGSzS4gB0Hi2nCYVN6sWbXCdZtlvPwUFIRr5OHO0bJJCfZOHge3x0rxo2LJ+LuOxfgwYc/oQSGQNsKfAAG7b6YqemGq7l6xwk8c/tFmDqxP9Z9dRwFZ2tZ12RPpx1KCxXN8xg4LBs333cBRozr4/seafY/+Js14KxuIDZCtEK6L3o9QsO1wIJb8TzSdriZIpG5txauOBU0XW5W37Bv29kwgC/t14J5w9grlBlxv8fLaiooyJAYbzjfxfa/AeBv2rSJac0TL3/atGnsoFNB67Bhw5hc5YIFC3q0HpLIXL16NdavX8+08CXOfHx8PPR6PcxmM37/+99j+fLlDNBXVFTg4YcfZnr3y5Yt8y174403MmlMksikAt1f//rXGDFihE9V58dkU5KHQY9YWByRwonCnaqmMxFD0gTus8OjQJvdCKtHA2uPwpBCgys5o8eFu5vGQYGWqDGgxtLOMgv9klrD7m3S74laO6sToIg50YiIdhTM2Qf2tJ7DZ5ddidfObsX6shNod3ZBT82pPCo0tsWKmv3yRoDuYGMV7h0/Hm+W7PQ1u5JoOXJG77OOu2x35eEcLWNy8vi44ihWlx/GHXmz2Yssx5jsUzkKGw/T7Q8wnoPDomF1BARqmQoSqZtwlJ2gyIwCt+79BJo4N+xW4UGhcFKDELlhBb9R3dWJKz5ZI6bCpRssB6/BAz4uoLKKFbfycBrdULUqoeryI1oCmNQynkAkSYW49V5MGyykfimC/9djwdQ45lGGNkmibboVTPFI2kfa7ITUHHxZeYaBezIpKuY7LlQAZnTDa1azbrdUzEaoaV6/AViWNxRz+/VjYIMiid2ZRqGEWgu0mCKDJ4rkpyXFMDWY3OQElHV24N2jx4KdApGuQ4dWllLAcRiQmowx2UIg4cuTZ/Gbtd8Gg0gvmH69J8afSZF+Mk13FSmQ+D/QOpSYltobBztqYXG52D5LEoZMLYUC8IzrIHyFuNhqsb4uEJjS77TGh9/5BqP6ZWFbeRlU1BxP7rqm7JCGRw3MuGXuJMTJZC4/2n8ST23Yzu7jwlXF41BxNd7ddRQDB6Ri4cgBKGoI1z2XjM7lKyYK4JL1Kenbm70CzWx3MJWjc83NuPGTL4K/LzmUYg1CpKg1FdT+7NmP0GUJkKmhwswomJ2txwssmTQEJzoa5cdPEXfqj0fnswcorG/GwF6p0KpVuGTyUHxx4IwwPiXJNZLUabD6iQC2ObgNIrinAGuUMjReiuRrgLTEWGz55SrfZ0tG5WH1t0ex+1gZXAoP0nLj0FbTySLeQWUDjG7hT6m9/OkeXDh9aNTmQukJMXjk8nl4YNlsVrMRo9MEUbJG5GYgv6ohMkeeosoiYORUEeoIxJuCRBXxqID01DjfuKjY+NJFo/DFtyfDnCD66uypgzGzh/KKrLHWox+hsrYNXKwK2i4345zbU0mGyH8DouNmUQIfbDqKd3YehStO4mcJn7ljFAzgx5fY4ExQwZamZt+lrrxk48f1xdNPrcA/Xt6KyupW5niFOnnk5MbF6dm8RlKeEQpSyavj8MbXB7HmkWsxYaw/qFlT2YK2ZhOSUmPRKzc8ErB71zm0tpiFxtRWD8umyBXoqjsoVSjUW0WKT2vMHqisJKspzhEViNtJFptHW4uJ0YOSkmPCALv0d01ZE9a/twf7NufD7fZg4PBeuOS66ZgwO++nA/L58xQdWXvwwQdx77334umnnw57/4EHHugxwH/llVfYz9mzBUAVKJdJDa5Iw/706dN4//330dHRwUD+nDlz8PHHHzOHQLLnn38eKpWKRfBtNhvmzZuHd99990epga9SKDEidgwKW4KVVIKNQ5vNwLrZUkS/2pwglCeSNr3GBcIMkZ9pPFQEMpk+vfz6s/TURrFndknOSJxur0WywRK1sJbuLXqlC03mWNlGEQSu8jtq8fv8t3Co7Qy4WEAiVGl5N0xWLSx2xj2Jsmc8ru4zGV/VnkCjvQtePjK4D1LXUbqZExFWWQcOTheBLH+m4aXCHegTk4wlvUYgQWPAwszh2FyfHwby5bfLsaZeXpt03vFQGdwMENPv7Q4bOBWgigO8eg6eDkKB0UPJtM8kCWfWOwAK7pO6hlUhOBAE7qXd8Q+BmTvZA85OXTGFNwiIeuPd4I1+RPvIqW/xcc0JODqBFrslaKuRmiQxUhTRHjwKaNQ85mcNRqouBm8UHoh6DFixLQuBMTkY9prWJwcLB/gzSfNzB+C9fBGIBz35hR8U6Z3Xpz/U8Rxe334oYqEi+SarpozDz6aPZX/XdnbhnaPHwudWLDaVMLWvlpPjkGjQ48XlF7GHldPtxpNfC7UYQVvkeXgMIeA+cMwKgSajaxGPgdeLa0ePwouDLsamkmJUd3UhQaeDp8uDlzfv90nLMcCvViBDY0CLwiKrLc7AgpfHur2n4dCJVCH++zdr21VYjj+u3xYydDHr4AFKSlpQ2dGOCf164UhZTdAmpGLR+xbPQJ/UYJGDUIvRadnrgY2bItOwJGfXfzkGGVFXSI4z6CsydBC51fbKiMfftx2CVg8ohZYV7HtOuhZFCU/JfrNhE1qcNtwwbRzuvnwmduSXocMsyveSRKeJh1tHMpXCliUHgRxstl4NUW2ig3xpe9QILdAG5aZhzMBslJW3oKq+DR0WO4aM7Y0Tp6t99QV+rXP/Xrd12XCssAYTh+f2LEMho1x088JJuPuN9RHGyzNlH9onArNGgxadVNgdsgzRsAgsS4Xhbj3xsv2L0PVEqkL9clPxwdqDaBY99ZSkGKy4ZBxWXDw+csOrEFv37XFU1LQJFCiDEnSEPBSFjxCFIgfMZZRJ9bK6CaCrrxYJ5+wMGDt66zAk15/NJZD/zps3obi4Eflna7HnSCmOnxZqGrQaFRbPG47rVkzBpl1n8Or7u8KnT/zpjFGw+SiuaUFThxnpiX4cQ6CeXnaHC1/tyMfZsgYWGZ8yui8mDM/FsWMVLNJOlBoV9UBwe+Gmfgiij0a0HKqlIE4/o1NGmTsaj7bTzTogs/0ntR6zHddd8gKaGwW1sqzeSbji2qlYvGxsEGg/vLMQf7jtXaGzsVh8dXxfCY7uLsIl103DbY8u/WmAfP48wJc1ouV88sknYe+vWrWK0XZ6PL/ddHyjKD5lC7oznU6HF198kb1+CqZW6KDkqJA2WiSdQ6vNiFa7kYgR4nuUzuYRZ7Sh00I36NBHmzCfMXoH1CovK3wkmcyAhDX7d1RSrx4dmyNNtahu64JRqUWsJnoVpyDF6YrYBY7e7XB1oratMmAk/u/qtS4R4MsbgYKxqb2QoDXi3ak344lT67G3OXKqN9BozkiF3eYQ+PjkAKlVblbX4KRquJBxvlm0BxdmD2c3qXuHLMbxtko0O7qCQIlW44WZ46N2vRP6B0jHKCDaxyJgPJRxLnhMmqjAjPH0A0OUlBqPJe3rCFqHkhFNKsEDZacKXjUPPt5FnlTY8vltDaJqS4B+n9//iWgUyc9LScFT4y9CYUcTc16iGQs0EX2J5EvFFP4HB0/giW92sAf69NxcLBk6CArKDnQCShPHfmcOjpGHK47IqUCCSo/FEwdg9b4TMDucYSCfwEeS0YBLxw/zvZcdH4enFi3AQ99sDpKXY/xXFY8J2dmw2V2o6exEvE6HZSOH4uqxI9l6yHYUlcuAGZHuFC2GQI2/qDNpG0WZOaZOM4N1wFXg0iFD2SJr9p3EMxt2hftoHh51TjMlPyIeBtr3E2V1mD5rQLcdf1MNBsSo1bA4nTCo1b4H8GvbD7LsmhxzhQF9D+CweZA0wIhf5c3Ah3uP+3Trh/VKx02zJmD+8O7pflKmaF9FVXQ/REh2yRYlBzZ8+r5GFCbaZztzuIRmUc5YiRoYfq7/+dtdrM/Cx9tPoJ13sCwIyw7xJEkIOFLEHgWhTB3xJ4FJKv6NeHmKt3RSLpKMur3+6pnPcehcNRxxHDwZQBfvQntdLZR6BSvI9G0jlM/EA5sOFGLCsByU17Ziw4581DZ1Is6ow8KpgzFhWG63wHnW8H54ZMU8PP3ZdiGzJF1bIs1KbRWur/TkWIwc1gtfHy4MaILGQ20Jlmqk+4rWxGP1uoMY/atMaNQCEi2tb8XnpwtRrraCSxfuBzB6YDcIXaJ7al9sORmEITxiAansfNP5p4+ybrovGJRMSUjX5oY9xYMVs0aFLMJh0KAM9rps6Tg4HC5YrE7ExuhYZ1yyqy+dgH0FFTh5rCpIH56OtzOWdPT9Y3A4w2tbjuRX4aHnN8BsdTAaHa3i42+OoW+vZAwykjpSQD2Hi4dGrvcAzUE3VDTmRzs8rFMxO14KDgf3lgQtU1fdhr/96SuUlzbh9l8vYvvf1W7BH29/n9WXBHUrFoH+hvf3Yui4Ppi1pOc0q/P2I6PopKam4sSJExg4MJivRe9J+vTnLbJlG0gpprsLkEezLTaEakMRM6GjbEKMBV1WPSumlYyAqwTuyeheqVV64GAgXzCjxoMcQyQisGAVXe24ftPHqGD9AXgWDQhRXvtBZvN2BINVf10R4gw2tHaRrr+wn6FGoOzGvAns9zRdHF6c+DPUWtvx8Kk3UW1tDCpwDLW2TiPMVqkNqGAqlRsxRn/xsG88AM51NbJi3iStESnaWHw47Rd4q3Qnk8y0epwMJM5JH4rE9DS8fvpIhK0SVz0yShai2hRND+9O6x+LX2LS/0URBGmiy5Sy9DPxwgnAEEVIJz8/frAQMI5un7EcW3zNnOuhU6m7cVTDx65wUKpfgXJHBwOpRD/YVV6B7WXlSOB1sHb61UsIZKpIn9zKwZkIPLl9B3aWluG1Vcvwyw+/YhHQQKnHrIQ4vHrDMp86i2SXjxiGfkmJeOvwUewsq2DLjshIx/XjxmBJ3qCoESeSgQxTkBDpJD0JH1PElTrUvnTjpUFNxJq6zPjTepnMQAAlh/xPVaAgVojRvhO3/k97dsHqkq8ZoeHFaLQY9tKLbDvpxhhcN3o0VgwZhhOV9VEGL5yDvBP4uqgIT929AD+fMQ4dVjsDH6Fz3J3RPnXPgI84ENmoPlEsWF1HFDPqNdDFqIWMg4KHPbV71Smas79u3o22eotweEmGULyN0vEMqueQ+7JSHFtIFF/af3IOaTyXjfY7oh9+eRj7qmpg6y1dhwIViHUwTgAMTQJtK1J27cs9BThX0YjiihZfMTEB8i/3FiAx08i450Q76Z2aiJXTR2LZpOEsQhxoV0wbibkj+mPD4TPYl1+B4upmmFtsTJNfoeSQ1y8dz9x7CcssbDx41vc9lVWUaAxmqjE7dLoKL6/ZjV/+bA4qG9vx8798zIqyGWdf3LzZ4cLfv9gDs82Bu5ZOR0+sqdUcPKcsDSfPgWefRQD//oV4uGKVUFu8mJSShlH9/fU3ckYKP/QKNLpPLJ4/HPurapj0KvVQoP4CjFkbMC69Vs3oWYFWUduK+575nEmCkkk/yarq2mDiTBGLkyUjR8NGzmWXQNOJuKuiDj+r7SFqXpT734ZPDmHm/KEYMSYXm9dS51/qXC2/LDlo697e9dMA+HwEdYqeKlb8twL8m2++GbfccgvKysqYUg2d1CRv+cwzzzAu/HmLbktzRuCv+duiXIA8DFoHVAoPPGFPEgEladQeZCR2weZUsyZUSqUXqoCCTbakqP+uoBs9R3x1HrPS+uNw+0E4vU7kGHpjaNyQIHnINrsVSze8hw7WCEwIERHFpL3LiLgoza1Y50eXIPcZeq+gwt44tQ4urtGfi+ABk12HLrsWHqbxz8MY44DVomUyE5JwmJTOv33YFFyQ4++wSZZtSMTdg5bi/hOvRxxXS0dMGLgnc7uV6OiMgc5Izb/CD0QgaE3SxuD+oUvwy7xFMLlsMKi00CnVDPCpoMIrpw+Io/VTgBQaeUWdQKPPrxieh/Wni+GUIrASnVKiycipwtBxdQGadiVUnaQDKIBNV6IH7kTSXQtenCcKRzQgygAJtVLtWfSefcXLYdexMiycOBj941KgVapYx9to++p1C5FAAvdkgdF3KareAQfVwfnUT1yxPLyUeWBFqELUdF91NUZklGLTA6uw/UwZjlXUCtzvAb0xfVCfsE68ko3NzmKv72sUyWf8dIWQTfDovNC2iPzXHhiBMoWFR0aC/4Fudjqx8p01QhFwpMlmRdEEsOWXoDmdPCQXsVotrhwxAm8dOyp+TcoWCSQ9OrMqOvz69NSL4S9792JLSUm3vQnY+ljRvBedDgfS1Womf/pDTKtSIjcxgXW8jTZzYeVD0RamLAwVS0aopaA5Wjl/DHqnJ7N9EN4UQDpRTqIkwNBkskBDhzkUpPegpxMbGl27nvDdIDoPXW5xWh2unSQAIYqYf/jdMdhSIhQ5gYc1DTDWRaAHiu8V1QgiCJKD6FLwcMQDDVT4Iy5TWt+CJz/dhs0nivH8qotwtqKJ0UL6ZSejV2oCkuOMuGHeBKycOgp3PL4Gp5R2uGOFnT7V0ISLf/MW7l0+A/evnIM/f7ydRYsV0eaS57Fu6yncvHwqXt24nzkZcrQzsnc3H8GKmaN81BUCuXuOl6KospllAGaM6Yf+vYUAVaxRi3ZScPEpyvTgxhXNxK+zovHU7y/zSPtZcKYWp3eWQknNGxn2D5HJFEHwsunDodMEw6/VG4/AG5g5CTA6ni1eBxJ1Kricnojzp47Xwmp1MKlWahoW9ZZvdWPE+D5MBre8pCniOokWtHHtEQbwC49XRr0gaR1Fp2rYfkRqnnXefuQAn5pNEQf+r3/9K9OUl7rHUkHs3Xff/a8e43+dpeljsaxPHtaWn5Wl2RClJF5PRFEOVpdcqEjg5lMBqUoG2AcbD73aDTVp6hqsqHXux4eVB9hDnbT4UzQpuH3AregfI7Txfv/ssQBw77fGtnjkpJIShnzkmN6rbYsXChdFkC91UCUu+0uTrsF9J/8ijIin6GUs67QbuE8ujxJqnQfTU/qjuK2dAcbRKVm4bvA4TM3wqwkE2rikQfjt0Kvx58KPBQnSAHAzQN8X5bUROuiKSNblUEGrDw4BpulikawNl15TK5QM7Pv3mcNvxs1CfkMTdtdVMHlIouUotcSJFrkG3djUXrnI0abiuYN7BVAvEcIlRRYZI9UQfZ3aJ7XJjNK1TQLgt+cSEZaK/Xxti7s1QZaTyQ714DukEMPjt69uREuHGVcvHIfL+47EmtLjstxq9hZhKzcHI6+Bk/NGbvRDi2qpOM/L+OvC4ITLxEtZCHrL4cU/T57EXZMnY+GIgez177Q5g/tBrVOgK1GUpyMfyi3UTrhjo4fJyBGjDqnskAYo1zyxYwfq201RGT7wtaIHlCEgk6K/Bp0aF08eyq6TzwoLfGMLBO1SMMrLmuD4Tyha5lRTI2IS1XC1BzhmMrUPBIYpUxD/f5QWpuvluvGj8cctO+Q/F8HE0JQUFNQ1+d93i83CxP0LvSxY91+i70i9gpissBDBnjd+EG5eOoU57OQImRwOxsEnp4vRc7rBg5JoSpD1MA0xbVAfHC6sFuRUpWNBAFLovQez1YaH//kt7r5wGtKNRrQQbyiSiQDWFUMFktGpeYG1JQ7Jp+RChk+KVAXVWHjfa3AF6KpPHJqDh382H9kp8bjx4Q9RZCG+XEhwBF48u3YXHvvZArz1qxX464fbUWqSL2AOpB+t/+4Udm45A61TmEDi57MOqyHr33joLFZdMBHHz9Xgty9+hdZOK8sY0T3jlU/3YMrIPnji9guxePYwrP7qaHBtVSRf2SMezGgUIAVlCwUnMDklSmOTEKtq6kBlYxvWrz2Kw/tKYctQCx1rxYJk2j9e3C6TAU1LRIbeiAee/YKdoyMGZeHiOcOx7UBRVJUnhVKBfuOyUXakWqD3SOwo8fB6NBw6PS7walIP46FxCopuoXtMy0+eOgC/fXwZ9AYtVl7wl4jgnox49kTTEcYvFnZHuX8Lcso//ig4z8vvRg/jNv+9AJ9xk++9l71MJqFIJrDo9bx1b0lGF1JirGi3ShFsMp4V0SYZ6YZG/G6pCiRKyKb7owW1wo2+sQQ6rT6VDNZgiQeKOq24fu9riFWlopchGUdrm6HWuqAi3jYFdR0qeNxKuDwqnK3KxJAcQSlFun6le2ZFcxLaugRKkVrrxrSsbCTrjJiWNhCLsoZDr9JgVMJAnO4oQbtdK4J7mdA0pXTbSrFz8b1I1Pashf0ww0DoS4ehyVvJGlHBo4ClVYc2oxcKfZSukeQokSpMQNaBflDX2NCmVydaarG6+DjjmxvVGizOycOyviPQYrFiV1WlSLhWwutQMJ456fpzuu6j+KOTs7E0NwkddhvePnmMZSxIntIdQQWJDqCuQRkM7gOitgT+Ceg7M6jIVtyHnjSWpvVZVKwY1hfxlyYkdABksW7wnBp/+2QXFkwYjN+MmoNTrXXIbxeUsAILVskxGpGQheycBGw9WgFvaEg00Ij2rebhlsB9wPu+oep4dFrtqOjowOCU6HSz7qymqxN7q6pYdHd0RiaGyVAMSU2FyyQSbTDvWeHhmKPjDU8Q+casb+EYOJ4wuLePg9xus2Hd2TOs6LgnMgAeA2U/BJDLNs+6YarxjzuWIc6gw6bSYnSSlK1IDRH8xPAne2i0ntGjyI/tIE+FE7q5ipFYmn2mEESCJFoOS/IGQ6f+AY0EQuzqsaOwt7wK20vKxDEJxs57EkxYeiEW5Q3E/e9/hc2nSpjT6ePj+7JbIbtGWT4dj2HZ6Uxytd1kRa+0BFwyYzgDrDRfKijwp4sW4t73vmTceIqusuLaKEbnLjUZ9Mr1KvBGd4KTjXr84/qlTCf+TGUDTlbU4+Ut++Hig9v0HSqpxvX/+Bh/uWYJ4+13d8NgdJ3AevhQC7xONJFpKSyr5OJBbRUD7WhhNVY9tQa/WjYTRaYOeUAsArwXPt2J7/5+O+Oq/6loM7qzl9/ZwRxVaY0KE8/UXGzJSni0fgDc1GFBWW0r7nlmrU+RJpCucjC/Er967gv85mdzsXojAXzhu+y8lbtvidr8dP24qShetlkJqZpRN3APO7TzF0WWHJWsuLYFT6/ZhuMltf7t9FYzB46alQW60x4lzxyaEekpqChtw8uFQt0NDXf/8TK88fFeIWscxQGh61VpVOOam2fhjTe2s6JatnYlKaQpwavFmxM9O5QcXLFqqEhSM0BNh7bXf1A6HnvqCl/dgN6gQUdbtJNK+N5fX9yEqk6LoIIWxQkZNbn/TwLg43yRbfd2Htj/MHN6XIjVOWDQ2lkhLBVrEiUnMBof/RoRALhU5Bl5WZ5F+k0eO4wBHUlJoae0Ixk2t9BT2+TqRL2tC7yOh1En3BBYFD7OAadDCXO7Ae1mI46V5KJXShsSYimkJtBs6tvj2U+2NZ6Dy67GM+NWIE0f3Pp6Ze/5ONFeDFOUYloyl9eLL6pO4oaBU7qdR9Jz/tkHn6GmoxMePnh7dq3Dr1sc0cT24BQpBY9Z6YNwXf8pKOysw8bak2hzWlDR1YEDdQ1Q8Cp2E6bVHWqqwisF+7Ase3RI63kOvFMJj1MJJT1FI1B1CNBMSu2DvrFCU5dHZ8zBdSPH4PPCAtSZTVhfeRYOQnWh37NRZCjyDjHOeqcCbp1Ao2Hv2ZXgDVF48jR0OyWVqTsSB4XeDejcbB9EYqt/rmgMVDxMHxF1xiFwf1ddPAkfzfsZi+K/e+4w6q1djNrltXJwuIFjjloca6+F162OTgmRilej+bXiMjTvP9Qokvvg1s34tqQ4CHCNSs/A3xZfiJx4f5fnbVWl6HSJAJqMdMpJFUhsQx80jwGmbeNYoykqY7th0UTf+6cbGwVqjo6AQOR98DW0I0qJmodWp8HwlDQMyUxFjFKNw8crYOqwodTd5gMLvjmSs6CFBLO4XRidloqyEpLB9DsAzFegJp0eDhqFCndNnYx/hZGz89Lyi/HpyXx8cOQESlpamarL/EH9cdOkcRiRKTTfWjp+GDYfLQ4B8sKckBMiUNckxM8jzWjE279Z6XOi5GxgQhID90EgPcBhCzTKAMwd3B87DgcXHorDEMCifH8lZvfOmY6jZ6rxytq9OFMuOL10Jak0QgGuFLVm9w0vjz9/tVOo84g2eeQsq2gt3WhwiithkoxynEmibEaoW6AIMjUFe3HdnujRbo5Dp8OJoupmjBzUPe2NhmRNVrDtaqibMPHTxeHpWz0wZwia9TQfqfFGfPDVYQbqg4Iz0n55eZwsqsPOo6XyGwpEs+wlvElFwCQLKagmBctLUoQ/vszOvrp85SRkZkVXhSqrb8UNz65hzx+feXlWCC5HV6LiY42ZR+G5RuGzgGMtPMeF5woDzxHmnUlxxujw6id7wBtU4CLFv1htgwIqqwteAv50r2KN/jggRg1t/wTsO1GG6eP6MzrjnIXDsebdPVGj+CUN7SjZfBpetwc6OnfJ8ZZZjoptl980K+rcnbcfeQSfmk397ne/w/bt21nHWOJbBVpbW/cd8f7XrV9MFnY2n2D3GK0q/IYt3PcjPH1EGg9JP7o9CqiV0dV4jGqhSs/FK6ERK6GquxJgc0sROT+txb8F/31GrfEgLsmCzlYj7E41mrriUNOeBEcQxcYPXGdn9w8D92Tjkgbj1v7L8NvDO6PODY3jb/m7UNtlYfScnJjIN9uNBedQ2S7fbZaP3oDTZ9RJc0BcKq7qOxGLsobityc+Y9KYpIFPDxh6UYLK4fDAY6cHkTBjLQ4zPio+HhFPecxqqOKdrBGScFP3R5goqv3AyHlot9jw6bHT+KagCFanC4PSU3DV+JEYk5WBh/ZuCVsnRei7401TsyRqpCW1TOAoS2FTALpwfgM7w1i3WZX/6IvPPpXWA544oZKjQDSPACeRor70e5XUxEilht6mQ/0ZJzhOLzRFkaoTOgFPqhMcZQesojMRwagRWHcJKo1Ggb4BnaujGR2/XZUV+PxsAeOfZxhjcLalBeXtfl66ZPlNjaznwMZrrmPRYLJD9TW+plySueK8Qtpd7hL1UjdKwNhCnakVeOTa+SyCL9nWIgGYUN2EW0+NdoKzMewzaWRilJg+J96+0uTBZ0eEDpgsLU9FfFTEm0d0oW4mQu75zQP2Nge71kMVoVjPYS8wUZeJPj2c654YzeVVY0ayV2jjHMmm5vVBXnYqiutb/LQFLw99mwDGmM46K2IXaFCmFjM+XH8Yqy6PHBRYu/e0j7pDWyTqFFFeQp1JuodlxcfhsUvmIS8pBa9uIkpjQLbBzkPfTPUhgCVDKHRiQW1RgvKe2VOR5Nbg7r+vDdo+c5qcguPkiOcDQD7RG7uQlRqLWhI2iKhFDIzolYFzzXVRwZiU/ItUK0jOTTS2Os1Po0mkNnajatPYZsLM0f0xdkgvnDxXK0sxYQw9NZ3vCrhVPNwGFbTtHqhtVNwpLKDt9MKRIGRTF40fjJUfv+tfV8AqJaeAhnXsXE34vkt4XtpBdivx74O2k2pohGi6l+5ltO1WNwyNLsRo1Fh5y1Rc9bNp6M7+vm6P0Ak3YH+JSqaM8MwRxhWlCVY3tBcymo/8kjohq9XN+BRqBXpnJaK6rh2OZDV40rsXt330bDUOF1Qx+c2n77sEF10+Aes/OQwbcfdDj59Yh+rRsO5rbB2O7HhoazqZMyKNQ5LvvOXhizFuRnCt3I/W+PNFtrJ27bXXsk621GAqPT39p5GO+ZHZosxJeK/im4idO2lKXTIAWorcE8VFaAwlROj9coz+5ejvGI2dOQD08La61HATz1DBo9MZiVfAtu7bjlSoq9J4GfXG5VAjK9GDogatj2Mf+GA0qrV4ZPzciPt9cdY0PIKdUSNVrGDX7cR7RYfxz+KjeHP2CkzLkO9yvPFMYcR7o9KihDc+crSLxrui/0j8acpi33tPnt6ALfUFQYW2Pl6v0gsNk+qX5s0Li6cTXiMJU1OYlSLgVPQqojKeg7tTA4XWDYXRT3uhY2F3e3HblrVwlCtgsjt8kSrKRGw5W8JA/pNT5+OZI7vR5fRzc0niUEgiRzdqROObFDqG1EmWdNANVOUqTTSQrUnA6/OXY1NRCT47U4A2mw2JKgOaOKGxEQF6VhEYaF5A2a4QMgkKDjF6ISNztKYWv/v2OzFoJoIvyXmk9HKzBp4UJzirMrKTIioEdWe94+N96jnRzOZy4davvsCe6ipfwTYVfUfCR/R5q82GD0+dwC8nT5VfiBeLNEMvuYAIf2Z6HK6bNgpLpw5jRYuSfX3mHD46dBJgdAzAmcDUP6G0BQAFKWpPvmRAmE/fwuOIpR7OLKHYmIAa8bGVFiDxDNA2EvDI1b9G2FfKgAw3pqCSRe8j25HCGrR0WpASHyVk/QMt0rODHJiXb1uGO1//Ameqm9g+UJMpAvfMp6JLIERd6K1P9mHxzKHITJPv81FSF+As0DbcgpQlZbuYIhIZD1wzbTRumz2J9UL4xQWTmbzpG1sOorq1k6nF6MjJoHtiC2VpeDjjBSeLzJbG42/b9iC+Klj/3be/4v1NZQVzEAJtVl4/rD58Un6i6DtKBR5YOht3nf0MFrszDIxJTgit3xEn0HlIajZsDD3gGLNFevBYz0oV5vqx2y/EbX9Yg4aWLt9++05dRYBEJdGe7DyjsdBtUrqGqPxA0ezFgsXDWQTfJdYthIJ73/h4MDlQOUfF97d83zcWZVfZed95NmVkf1w+dxRGjc2FTtc9DY0oYLvzy8KOr9Lpy7n5zcNDZfNC6fDCGSdq1kcB+aS6wzqIi38LPwQFr6HpySg/VgNFDDUM9Dc5k7OEOD3effs23PzIapytaAyi1UjnzYGTFXjj03244+qZeOaV6/DYfR+htdkEJWWJKEHpEehkHq0KKocXPNVOqRXw6tSw9U2Cqt0Gjd2NvrnJGDa2D5ZcMxV9BgkZuPP2E47gk2IOvUaNCtaJPW89t0RNLH41+Eo8W/iRr+BVMvp7bOIgGLhkfF13glFHJLBNUX0qRvVH2wgsKpFqtMJKKjYSjYLjEauxwyBG78kBoIh9hSUJGpbj7u7uHZzPp+1TMape7cLyfiMxcNhYPHtsJ860N/mWnturPx4eNxd94yIrEGiUKkxJ64uDzRVRnRuS/6Sbmpf34tZdn2HfpXchTuPXjJaM9MkjBT44NwdFlzzIJ7BH67tjhB/EtTrM+Lz6qKzkJmVKPKSTFxoBVwAagxsuuwoU4OXUHvAOXgD6YnTX61LCa1IwZR2oBHBA99jGUgejQASOXwIgHx05hScy5+Pw1bdjR00Zmq0WZBpjkaWOxRUvro44v6y6QgUkZ2vRVumEWwTnFNVXdKjAtSp9evhKpwLXzhiHIclpGDIlDb+cIswFzfv1u/6JQ82V4cdIfILpStU+9Y8FE4WIzTuHjwXpzAfNEzmDFK11KuBNckHZRlQdf6CNPUqYM0lcWJEfHcX/XDpY0JHvzn6/cxv21VQLYxXH5VdIYjHqsO+Qs/VpQYEP4E/K7I03A+VQpfqHKONrVFjQkejGr3dRYycFpvfOwbJBQ/Hizv3suwo6R8Tzg5otUeM3qVCUMj50eWu7uKDMjS3NLyvIeOdKHja9AkojD30Tj5gKoGtAAFglkw5FYM0G+XikUujhUd0iZF+iGc3HsfJalHV1oLqtA3F6HS4cPggjsv+9D3NyjFb/6mpsP1WK333wLTxWv3yqnJGW98Yd+bhphXwE1qBVhwUDiDpB3YI9RFkRde2/OngWRoUaN86eAKNOg0snDcPSiUNxrroZtz24WuCtSwkWL6ATp5D3SS164YoibSpF8l2BdAwvj+N7yxiNwx0jOHcSf55R0TjgzysWY2hOOl55cAV+9cIXLHouaaUTGOuTmQTexaPY2uFrwiVLSY9y6kpG62X8d0VkznpKjAEDsoUaGLVGif5DMlBzyAQuoNEVFX5SHYe0n8T713aIgZOQa4g2tX9XMf6ZFI8YrRpmu1T0Iu9Ht3VaMaBPCiqrWmUzB+T/d9MegpkxTo9JU3vWy4GsmXjocs5bSOKRGmZpOoViWN/73QVDeR7aZieciRqRUw+kxRlgLmlHTVk1VHQP5V1wpoQ/C/2b4LBw1lC8v/YAzp6rEzCBMjwbQ/fjtVtOYNVlUzAwLxPvb7gH+3edw8kjFdi9q5AVNwtZSonKROetF16HG+ouBxRWgedVWdKM3gMyoNH+IDj5/804Oi4RjuN/i/2gI5KXl8c6xp63/5styJiAdF0SPq7ahsNtZxk4y9Ql49JeM3BJ1nTW9fa2QQuxat+bqLW1R6HtKFi31jitzVewK0T1A5fhkKCxo9ESC6evqLfnxqhEGhd6p3XgouyZyNKnY052f6aZ3+G0IdsYj1R9zyJ8twyajv1N5VEr2yVaCM2Jze3C2rJTuCHPz2OWrF9KEs40Ngk3eIUXuhQ7NIl2cCRpaFXD0aRHojsBJr0NXS5/JHxiWm88NXkResX4o327m4pkNd1pPCRFGmleWHSfgL1TuJw4raBeQMW+Pm4Otaa3qQC1BwqdFwqTgjkgkct/gbf2HUFKlhqf1x3GmY4G6JQqLMgaitRUA5qaSZ9bJjoHjnWxnddnIGwaN745Q/sUuBUOPEWLRUrBRcPzZPaJw0tTL8cd+z7D/qYKfyRMQOIw5GugblWy6Ne4wb0xsn8m+3hPuYxDELpuuwJ8nAvIdGGsIQcmkws1pi5YXE6h8Ju0+9XkCNH8hZ/rLAKnUOLKvO6L4MgpIlqOlB0RnB8KhfpDqXS4OZfCV68gWbvdf3+bm9MPvWLiUG8x+brsRqNJ0dZsXg9ePLLf58B8V1GKZw/sgb3LzfTEhYeI4PQoyZml85Wi+nTKuCkyHLw+Kphk4F5GQpGi9s4EDpouHiozB3cc0T/EZbyA0aGCVeNhGQ+eFEwCyglsHg/LIHQH+O79dCMDHAQ2ad/f2XcUcwb1xXNXLIFe838vvo1kdC7OHTUAgzKvxYo73+p2+fzyBhQ2NWNQakpYjcacUQOw7VQwb5uiyKHNrqiA+81th7HzTDneu/0K1oGXxnHmbB3cUmRZbqxE92sTZDCjUWCkZSUQTOBe18Kjhu+EluOgNQvfdxl55vxlGY144aZLMTRbKAAflJOKL/5yI/aeLMep4jp2HU4cloNxeb1R3tiGpX9530+7DNDi9znTROmK0juAaEyLJw9BZ4MZO8urwnn8Iqf9kesXsj9NVjtuePZj1DR3Co2cApo5hd4NSGM+YKr9y9FxUAMmlxNvfLZfpPdJKEx+JuldN88jKy0eNY2dQfKSdLwoit3RZYtOZyIAnRxOJ41mCTHyMrGMNibtGzX+MgWDe1LV8dD9J0o7eKXNA12rA9pWB6PVsGyMxgaFGE1n63FQt1oPvNrwKD4to9eqsP7bE6x5n3AHpSJ6OtepL0oAYKfr3+5CUWUTRg3OhkqlxIy5Q1Fd34FWi4Px+Nm9R6tgWv7UXFHV5YS2xeqbOzKa3z2b8lkn2+c/vh29+/9EeiHxkWmL/9MA/+WXX8aDDz7IePjDhw+HOkRdIS7uX9AV6X/ERib0Zy+P1wM374FWKT1tBEvTxeOiXmPx6rkdPm34cCOgQo1cXFAwPb2w2yfr5BqvsTM+vsUl9WaP9ggK3RaPOL0TY5MGM3AvWZ844uZ+P37u5LS+eHLcJfjdsa8EJQ+JziGCZTcVd4aM7UhzjSzAv3LsCKw/fRZKnRvxQ9qgIHAorksd64Ihw4qZMX3w2MTLcKSphjkLA+NTxHEHm4OF8cItEriXjPUaYJFyMWrGyLgk5B7aoYqe2kohih+NpiKuqaK1A7fv/RgqtT/6/GHZAShzleDNenA2AWxJVCn6KWnhX583FuqBSuwoKWfcfppnKbrP6ATiZld+/DFumjAO140ZI0bfvdhRX4xt9cWsjuL6gRNQ29yBvcer4THRA1rJIs20rqkj+uCJWy700SyiSbwJM+B3aDycFxZ6uLT56SFsLqhAzU1ZBhd4vRc8ZUICzgeKhv9j/kVINXTvTB6sqfbNG9t3qZOvP/klyLpqvYDDD/Lp38wY/0OfePRvL1qOK79ag3a7PWpTtUBqg4+iIP60UCMqI8CZ/dF03/EnR4P2nehPxMkXM3R8T5r0cByccRQtFBrrqLqESD/rOeAi39KL51YswrbyMmw6GVxUTGC0O2McXKbOI9SjSLazuAIPfbEZL6xYErQ8cZM/23cKH+85ieqWTuYALBo7GNfNGcckAr+PkT47nV+JsfrQpGKY0fm3s7ICX79Zhay4WNw+fRKuGCV0pCZbOHYQXv16PxraTb6mW5E62dJ+Fje04NWtB/Hri2ay9ypqWtm5EKjoEmpSt9meGKPpxAjHjWhjTD3LCLhE+hZlsojr31lrQl1tOwP4ja0m1gwqPSkWM8f0Z69A219cFZyloN/Flg2SdCZUHMYN6YVjhdVhkWhyFnQaNVZdOJEpET3xyjf46tg5wdcWLVajwe9XLcKM0aK08uajTCpSzrhgn8AnERp6fkn1QsKyfmphNKOlKuvasPnV27Fh22l8ue00WjosSIo3QKdSorSiRYxa86zA1KXjfMebrgsVBTrcPJbMGY7vY2kJMRg7IBsnSuuCe3loOahECVCK3lN2KNCosZRHF+VZQs5du5hxF9ehi9PBHiBjKn2maXPAmaCBV08XunBfZd9RgjW8o/uANCaXgRpt+TMoitBagZCTYP0XR9kxoOyLM04t3HvEyJu2xs6i+rxBDS9F7IlW5HRDaXHCZnXipce/wNPv3/K95vO8/cgAfkJCAjo7OzF3bjDXWiqY8hDX97x1a0Q/OWc6hRZHE/RKI4bHj6FLN2y55Tnj8XbJHjg9pEAsk4rkFHh69C/wXNGfYGH50OCILYH7ODUBE2raZBMBPjtiEe6ifsAduJ6cGC3uGnjdDz6ydH7srq3AewXHcaq5ATGKROSkxOB4R5UwHxTJ9MpFbYUiNjkb2ysLK8cOxxbvNihUwVkL6fdd5qM42jYC0zOHRB3fwLh0+XH3YN+kWgUp2CVI4MvNLw+vU9EjeURp44FRcdZ1UOmBbpQdlloNFJ0KVnTFq3l4E73gdcDfZlyMgQlC6vyjn6/Eb7/cgpN19WKqPHhI9SYTnti2A0Utrbhj2gTcuGc1ykytUHF01giATihq00LFa+CmaLGeZ0WI91wz28e/JxvXKwsHKv2gOnxXiOclROY0Dg0KO1vC5tZX19GhBpfuAAh8U+TJrkbv2Di8uWgZBiel9mjqSAvat23q5iuX/BJBIwP5NoJZwgJXjQimHw5KSsF3K27EmsJT+LQwH+XN8oAmyHmIYARmiKIRut+CVjfRRgTwSc4Yi8QT+CfFnmjpfQXHCnaJl0BBT0VAlJ6NPzkFZ+qbwyhUtH46puRU0EnpUYlgizj+BASspBYjZgRCpFnp3Pi2oAiVrdOQmyyoDtmdbtz6ylqcLBfkdGlLFocTXxzMx8YjZ/HqLy7DmH7ZkfdDjAh+tf00Pv7qGAPVZFnZCSDBLzmA6J9DwJEofFrXZcIjX29lxaJ3zZjikzt9/e7LccdL61DR1C7UqQTxJ0LGwfP47OBpTEjLxHf7z6HgXD2jpHVnLiOgjXB6SHNCRvNL4J642wTArETBUvtvIlQM6opXQNPmxUOvfoVnP9+J9jqzQPFRKrBg0mDcvmI6A/uSUT0PPQ+CMpHieR/YluP25dPw3YEifLr9BFwBDku/zGT84abF6J0uOGK/u/1CPOBaiG92F6C8vg1tLgeMcVrUWLrQYbEhwajHh5uFBmtR91e6FcrcGqT6hW7pKzKmUikQY9TimksmsBfZu5/tx1sf7RU256XMGAdXDBe0DSrkd2oVMNg43Pjr95EQb8CUiQNw4+WTkRDbvTzznZdOw83PfSbcraSaA5Ugv0rOg9IdzscnwE86++4YyeOSIgHC7wTaqflUoKl1GlipSVmIseLgdif4TuoloIQ9VSMUMjOVJTE7KUbfA7dFy1CWhWikKgcPrUaFAblpsNqdTFufmm+1NJvY+ehMCPC6qHbCTBkBDu70mID7HAdeo4Q3Rgtvuw0nD5ahrqoVWTmCOtyP2vjzRbayds0110Cj0WD16tXni2x/oJ3pPIE11a+j0+XnwKo5NRZkXIqF6cuCis9SdbF4aeK1uPPQP2GnRhbiXZLgCD2wSU7y9dKvoFO6oVF4YPeSnKNQgEt/k3KOxPtWBIhKB+IwYXMBBWi+zQu3qUkp2fjL2OthVIXf/GxuolcABtKAiwLunzq4A2+cPuIrdiRrsNDNSwtO6wEnqmKEGjk1U9LlG13RPM0ak4pt+VGiauDwYcUOTEuNDvDHJOaijzEFVdbWoMgM939omiEzYkbXIdlKrqMb/1pDTwRedj4cvAu/mjsTHRYvdteVs/mfmpGDawePQW5AdmJQWgo+vfEqvHbgEP68Z0/ETX186hT2Os+gySHoCLpDqErePg54ihQs80BGwOn6Nz/Fl/dcxzjZZD+fMBZ7KwRnLdR8Ue8YD3tIxLuNaIU1wgyJIJ/UdmJIX44H7/biqZkLewzuyUamCw4bW5dcR+CgHRSemgqew4DkFFw1PJwClKjT4xejJ7HXdV98hn01VfLOTKTtiEkekrz0KcBQTzIXpb9FPrLYsZcVy3Y35hBzxUogJnw4qTFGHK6skR0v0UAoc08PfwL7QfruVEDK9B3hj0wykC1GBDkO3xWWYtW0cezv1zYdwKmK+jAcxyLmvAf3vf0VNj9+E1ObCTSb04XX9xzG7pJytOd3wF4vSBZKVlfbwXq/kf8v7zYL8pOM5hRg/9h9AMtGDEWvBIGKl50cj7WPXIe9Zyrwt2/2oqi5Jep1SzzwB17YABXPwUvqJVGWFWg11KdBzKiQII7MMuwwS13GCQhyYF1qWQEmm+RgMOpMUoBr9qLeaYFKJxSkkqLT5gNncbigEu88fo0P5PdJTezWCaFjlpOaiPuunI0bL5qEA2cqmWPWPysZw/pmhBU+0/JHGuqx4ehZRt9hQTyvF899uRurJo2Gw9vzgB6dY6z+I2A+Iman+OgqPjSWaWOCNdeJQvXpV8f8pScqypIE01KYiX9b9Ty8Vg9sTV34/Ktj+HzTcVx+2XjctXwGq0Mgq2xox5e789HUbmaZpAunDsXo/tn4x52X4vfvb0Zjh9kHol0Gnin1RDKV3cucdYrkS9kEI6eEt9YErc3Lzm9qJkVyk1feNBPfbTmDzg75+6SwgzwciSohMxDIolL4o/aytD4tx3oSTB7VBw8+9wWOFFQLKlUqlSDwYVSGfVdp98CdTClImXVSxD9RD87tQV1Fy08D4P8P2A+K4Ofn5+P48eMYPPgnIof0I7MS0xm8XvZsWKrfxbvwdf2n8PAeXJh5RdBnE1L64pt592Jd1VHsby5lIG9sUi60Kh7vVWxmz+SBcSTLx8MQhWDp8ioZX9/hFgp1qSOuUswrk/QmvcRqR/ZemjYeP+8/AytzJwfdSAmwf1VzCu+U7MO5LqGL4eC4dNwwYCrTkt9QcwIba06i02VD35gU9NVm4Y3TQlMS2W6nDmrX6Ra4/moX4gx2Ni63hzTl43Fpn8hp1MNtxYy6IcefJ6O5OtVRwSg4WqU/KkHO0sbqAnxbcxZmtwOD4tJw84A5eDJ/PdOgl9ZH6jlUZBvJWG1EAF/c17k1CjpTxHmhaBakJiM14uLSSG5S/vvkJJVbmvH0uMvwwLjudYe/Li4S6ChsgH5fTlq90uBFvb1L/ssi8PSkO6Eq1/tbp5ssWHfsDK6fNpa9N7t/X/xiykS8sv9QkBMnbYyKa3kXoDVp0eKI8tCSzC1oftNqcpNiMT07F9/H+iUmYWrvHByorZJvHEbPZCcHziECbJGiMCE9K7pWP4AXF12EG778HMcb6n37Sj/dkfI94pz7gphSoI3oV2rqDCxozqutgA4KWFShEdhukL5X4Gv7tiUajWnqgFykxhqDOOkSXYsKetUmjkUePQaZbXAcK35kPGalGKWkS9UqUMJonXaiHtG9hcDV3lMRz2d6v81sxfbTpVg4epDv/Y8OnsBTG3ewc0pl4hFbL9Gqwo3GwmrdJbqJOD0kd2lJDwdyNL61Jwtwzyx/MT3RbGYO74ejVXUo2dkqU0gu9jeQ5l3a/2BhquCviD+pEJrMkQLo1Sp4W4WIbOAWQsuoyJmTCipljQp346nLquBgSHQWms/2xi7cfse7eOyBSzBydC7mDu+POL0WJhIfiACK5w0fgESjcB3Hx+hxwcTwOpxAe+rzbfjy6NkAGp6wZqIqfbj2ILgYVVg32vDZEYGlUQGlWGTLrDsHNoq0JH107RLBsZSsqq4NnSZ//QzJYXa3fqKw6LrEc87FY836IyipbsHls0Zg6+FibD50js2btBerNx/DBZPy8NhNF+CPKxfi7j98wvT1GT1OrG+K5vIoXdSHgLpj8DD1UoGLV+GCyWMQ0+GGxexAZq9EXLBsHHr3SUFjswktTV2siFrOPDFKuGPDYRxzyqPJcvI8NLFq7DxSwnwoKvqnc4ui+Co1UZlkVHrEYu+IrexZ4zwtDDGRC4B/VMaf5+DL2vjx41FdXX0e4P9A21D3kezZRfdOk0uHjys3I0s3GqMTBwZ9nqQ14saBM9mLrMbagqv2/Vn4LhUGOvVI1lrDrj9WJCpG7DNiTOxlc6tQ05WAFkssvF4ljFoHNGoPdConbu63EGMSRzKt9r4xqQw8B6+PxzP53+KDsoMsOi5ZcVcTHjz2OWLVatg8QlSfrN7Wgd18MfQJKtg65OQ5BdhDRaeZ6e2IMwQr43CcBZ/WbML1fS6SldWjaHO0KJxHDPs5vVTjIDwdaywduG7XB6ixdvgixifaavFR+VFc3W8MvJwT39Sdgov3wKjSYEhsBk601oetW9quh7j1vvGSBn8kh4BnmYrpmX1x4+QpuG/NRpgcTh8o8gHjJCeQHEWKg1Gvehbefe/4cZxuaQr8qgAwWTGzWHhncAuSjNH4D/HCQ8knfUkypacKGcCnc+Kbs0U4WFENNa9gET56cFAK3ckLjbFgUkHp5uCmFu7ydWphc8U2zQFpMcYfJMf77PxFuOzT1aj3hDsvVMOgcAlUJMkIwKw5dRpnmpqxeuUV0KrkYyDxOh0+u/wqpq//VfE5dDnsrDkWUc+ONtRFUBISfwbuhoj4qTuvwgL8cu40WDg33tx72L8OMWrNzh25A0TceBom48pKVBqxi7BKiV8tmM4Wm94vFwUNTfAovILKitgziZwLt4/CID+Pkva89Dl116WNUd2QRifMUV17F6OIRDOlksNH+0/iWHUdkmMNbHx//naXDzzp2mWkBgN3la53I+CM4Rhdh/aBouYeAsgRLrnqjk7Z9+cPH4C3th/2/U2dTCn6Svr47JqgdRtELnUg9Srg0Eo67vS+uRd1DyWnh/5W4OnbLsKr7+9GKdGMAncq6PiL2ZpuNNIp2qtsD8kgUMQ4VokqlwP33v0BbrppDq66bhqeWHkB69jL9iHgPCSQmmDQ49cXC8+PnhhFp9cdLIisVEYJti4PHAkCF1x2GXDolRKH+DgDxg/shaaSNuzcX+yTf4y072xqpYgEOZoEskUyP+3LY7ctwvABwU22QsdJPPKozjHNrTogCEEUNSVwKL+SvXzrCakv2nyoEHFGHWbm5YqSm0ImxqNVCJrzdE16hO64clunb9iTVPDqVbA53fjiXAmWzxiBR69ZFrTc0hUT8d03pyMO356gCmm0KBq7VqPvt9npgpb2i/zzAMfVo1eCc3mgMAl8OE88cfgUwitanRVtz6DG4JG98JMw/jzAl7W77roL99xzD+6//36MGDEirMh25MiR/5kD9BO0VkcTKq3h3RGbbDGosSTALcpf/OLwW4yyk63LwNLeE3Bxr1EwqoIr4jbUHgziW7bYjTCqnIyqE0jvc0u3mIALnpYZmNQCFedFq80ItcoNtcKD8YkDcHH2LMSqIyOwQy0VDNyTBdYEkNQnZQBIwz7w3iIBFZXWDY3RCadFvrIvI6UDsXoBIITemz6u3op4dSyW9ZotbIvnsbWqBO+dPYZzjlJ4VQpwHDX98rAsBpnNrobJrIPLJQCQGWtfxbWDx+K2YZNw896PWOdeNkfiPkjzuLrsOJ4Zfwl+N3IprB4nm3cC028X78crhbtZtN9nJFvqpAYtnA+cq71qJoHHR3jYvT5/GRbkCM7bxjuvxydHT+Pr/HO+RldXTxiFl2q3oqCjLmJhNY11cqpQ5BbNvisrw+M7tksbDzeK6rMO6T3gF0mRRz6YwkAP3Ue/3opPTuT7P2bPbR4uelCIDpRKlKWkYkKPrxtppE1x4Kkxl7iuI421ePbYLtw/tufg5GRDPd49cRzEIFDalPAqvAIXnx5+jBojIMJQ0Ezn1sn6egb0rx9LdTHyRg/W2X36spdkOyrL8fOvPg9fOCAoLLOz7MMhvdJwy4JJ+OPX2wVnJhDgUz2bT3VJBPoiMCKFCyaNKS0uTtuwrDQ8dvE8DM4QaE1XjRuJNw4eYTUUvn1g8pCijF4UY8dDjOKzTYvFm/T7Uwd24VRbI341YWr0Zynx/VU8owodqxGaNTFgQhhMdB6iceylqaJl3OlcWCfZwEJN/xc4xIsUslAb3jsdE/v3xtHyGsDihbFRdCiluaGGZWK/J98H4ktqpjR+dC6q3CYUett9UeyhGWn49bwZmNI3B19nFKCivi1iAbqged5Dx1X2hiIce3uyGm+/th1DR/TC3DH98eaty/GPTfuZvCkZ0U0WjRqMey6choyE7jqi+W17QWmQOk2oeXQcDHVuQeM9QFLT9w0qzLTxeO/XK3GosAZNHWYMmDoAE0b2wYbNJ1Fc3sTqrnyqT6G7x5qHKfDrVfNZZ2DKEuX1ScdFs4azYtpQy8lKYt1eu8ykOfv9jOpPuo34+3cLn+88hUumDvU7nvoAmgw5XzFKqE0eFrH3fU/cJ2ecAo6k4J1eu/s0rpwzGv2zhPopsrxh2bjlngV4/W9bfM2kyKTfU3onor4r8CQN2VAU4+SkIl0eaEuaoGrq8jdMUyrgzEkEnxzfbSZRo1VDqfr+Kn3n7UdE0Vm5ciX7uWrVKt97kjd+vsg2upndYq/0AGuwxqLKEq4d7/S6UG6txtP59XireBfemnoDcox+bluJqT6IluKFApXmRCTrrEjUWFlDKyFyH16kKv3dJ6GN3ZhJXtPDK7GvpRJLdv4B89JH4tYBi5ChD1e9WFN+KCIlppuggQjww4X5lEoP4mLsUb//cfUWXJw1g333rh0bsLnuDLQxouqA2BTM7lJDrXSzCHpnFz0A/HevDqcdL+fvxzdVhahytUQOmAF449w+XJozEnEBjs6Ng6bimv4TcKCpHGa3E3qlBgfqqrG5pggOjxsjkzNZ512jUovrv/4MJqc/TU5gkNb73JwlPnBPlhJjxO2zJrNXoNkN0/DLw5/Ijo/Wlagx4ILs7rXgXzl0SD7CI+2oaKRWQ824Ij7K6YMAKgsZRdEGpCVh45kiBu6lxfxRZL83ENgUjWnyu/zNgcI3JTbXosJXcZwEAl46vR9DklJxUZ/otRRkH5w8gd/v2BZcVOqhQlYqCiM9/uhSl2SrT56MCvDlbHZuX9wyejxeP3EkyNkRdyOycUBGoqDcQ4A0sGuu9DnjaNO8EiCi94hnS++Jkes+SQl4cMEsBpx7J8UzZzHQMuJiMXpAJg7UVgeToHuCaULOHy6EarKx6BwSdDrkpCagurkj7DwiACcBcAaGAikHEqWtBzUHDFeHROolypOPwx5glEm6aKg8lZSeVc9fdxHuens9incLXVHlc4vUqEn4Q8W6DovHQwFcsWgMpo3uhyNVtdhVVM5oOfOHDPA5VUtnDMf2o8X+ORTVbNifYpSVahoQTamRFxt8kVOsiqCilKBCTKsHX3x6CKPG5GLCgN54b0BvtHRZ0GV3IC3OyOQ+Q83qcOLbY0VMXpP6BMwfNRADAwAmFV9S5DySg+JIVCKmxoWYSgcs2RpW0OrWUdG/MC4ac4bRgCW/fANeh/96VmoVuG3FdLyx8Fo0tnZh1SP/hNnqkN3OL6+bi0tmj2Cv7kytVmL5hWPw7qcktUnOIA8S5YoqTSk2qHLrwgNh0YwAdlljGyaM7SNE+2W46ZRh8bC6FS84JQdqHu+MV7JIf6jR/fTL/Wfwy+XBQYzLr5mCQUOysG7NQZw4UsE2MWZCX1x21SS8se0oGk9bwu7vBM6jds6lhn9usSu0dN67vdCfqILC4gxOMnm80JS3wq1Ug48xRE7ycsCo0Tn4yRh/PoIva+Xl8hrm5617S9AEA2a3l0O1RVCgCDUpiKdWedDiMOH2gx9i/Zy7fJQZnVId1k2WQH6zPQbNduLcetE3tr3b6Gysxol2hz8cRqoKG6sKsK22FK9NXoW8hOA06JnOYMfCN95uMs1S8xFSu/Gyu67fYozdR1w6XWbM/PZpmB1KVpSnpQJM3z3Vv1GHSwmbSYrahUdnSzvbWGMW0qSXM5qtElMLWhwWpOqCn7w057Mz/fzheVmD8Nvx88LWsfuqW7C2qAA7q8vh9nowLiMbV+aNRFZMzyRkF2YPxe1ds/DyuZ1BzhQd71iVDq9PuTaonkDOzE4njtULaiYRjY6XAkhHItq4loh1DGSKluDt0cN4dP8svC82uPI9ZIIArX/+/dQeCgQQJYuAnwihfIvR058oSkIlnq/tPCsQ5/B6/qFuAf6pxgYG7ulrgVQZn8NBvPuQFvYy04LqTnlqR3e2YuAwfHLoNLo40rIWd68bIE1ZDqIDMaWpkooo4Wsxch74bBIP2QMLZmLO4MhZnbMNTThYFwDuJZlIScMwmjH+bXAkMtDo7zX5p/HYrFn482c7gt4n9SYCs9HYX9JxdsYKCjTRlvXGBoAjUgshWkVQh2nB6HyZ3jcXo7OFPg1yFm/Q4boxo/DYTgHgR9omNcPq7MsxaUtNJ8lZCkWMd767ARq1EjaFR5hLDnjpuwMYm5OFZ1dciCnD+2D6qH7Ye6KUyV4y4BWwXq1OiSxDHE7wJLYQ+eZJHXcF0CZ/qOg6Imfm9AmhqZtkKXFG9pKzzceL8LvVm9m9lDXM4nm8+u0BzBreD09ftxgGrYbJmkaTv6XtduWoEVfhgrrTBVu6WDkqRfKVQJXSBkUiYGz074PH7sVLH+xioPbqC8bjrSeuwd8+3IE9xyhjIKyid0YCbrliGuZPiV4jEGrXL5/MMgN7DpdCS/QzFueRmVtxQ2qrqBIVpaA3kpEk7K/uXIiVd78tpEJlKUAUVFAwR8MVF72Wq7nDIvvZyLG57BVqF9pt2HuqPDKlLtJ+s6ZVosMpvq2u7wgD9771kW9Z1QLX0N4RwyK02mWXjY+4f+ftJxLBz83tWbHbkiVL8OabbyIzM/IN9n/N4tVJyIsdiSJTPqO0tDmMvu6zcsZaonM8nLwXVZZW7G0qxsx0ISI1I3UYdjUXRPomlJyyR9QLUtqRLtAukx4Wq9Y3psVfvo/L+g3HYxPm+zrJUuT6X2u8qCPfvVE0yubUQkMKMxGCLW6x4VQ0c7mInxzdGemJJF4ki9fqsGrEOPb6oXbnkDmYkzkYa8oOM7qOTqXGgsyhWJY7Ggma7qXcXD2QqyWwHavR4p/LV+BoVyUePvJlcNRbOiwmJbhmAeBLDqVXD/zx0E5ozMpgcB/hUDLZzTgPPAlu/53HCSi6SL6Fg8LIw0P69xS5l0KnVEzJCpwFB+JUawPsbhebC8no/W8KivDh4RMobGyGXUv8m2i1C4BBo2Y9EaKddTGaHojEB9iZ+iZsKyzF+4eOw+FwQQ0FA4QkNWnNJt57ZBzNlKJ65eBkTQNO1Tb0aHvSqogaRhHjWQP9VKFQK2ttw9UffAI+dJcosk7vUV0EOVsRntyB0Xo2ZwF/S0ZZB12SBrcsnITXNx9kzrw1XuA0B1FdIuwLa+qTyDEevMjcCTKKJMfH6vHnXy3D3X9dyyK+nJVn89rVR9Q4F7PIZBfkDcSflizstnajpLI5rMNt2PjIwXQL/H+PRiGAI9EcjIYmgCqSX1SbgcLGGlx+/G3csHACfnHpFBw/XgkHLxTcBo7GYXejvLYVRj0HS3aAzq4472QkYUrrDGHHBRuBcPq/hxj1cHE1fvPeRt8KAzMquwvK8cB7X+PFWy7FjKF9kRSjR7vFJjs/LLGXpEI7aaYnKiKqtlADOyoC11KvBum7PPDymj1YPnc0stMT8OdfXYqWdjNqmzph1GvQv3fKD6q7oYZNT96/FLsPleCLzSdxtq4JzaIubSB1iEzb6WU1FkTP+SE2oFcKrF431PEaOM0OIdMisxzLJoh090hGu5osQzuKZnPHDUBebhqKqpuDGnoxQO7h/PvFsqBsJCyDFFNphTNVL1DExGtNXRdF25XM5QbXYQZPFK+A85SuS9r2VVdPwcSJwX0ZftTGn5fJ/D/Zrl27zne8lbGl2dfg+aLfweV1MVWbqDdu0SjiqYQSB5rLfAB/bvoovFm2GS2OrrDIK7v0fFVx0dfuIQk4L9DaYYTTyXKrvs/om+vKC1DY3ozPFl0LvUqNhVlDUXquOYwfzvcgCELb8foKUEXKBsdDo4+sGONbPwEAh4oBRUUUmp83qMFUpJURpzhgV0Oys2m6GKTqv1+Hw3+HDUvIwhNjl/6g71IhaHpMDBrN4egqUDqyCw4s/uR9XJ43DC9MuByfVh3D3sYydnSoQ3GCLRZnK9r8EXiFoI3OCi2pCIv3BsV0ZB9w4OFJccEbFyB/QqYBvMkucDYF0/1m55TUVVamJwJZi82CRqsFBrWa6f0/tGEz1p8+QzqzrFNkdyCHNh+r1cIqtlqXMwLNlw7tngpE1mG1495PvsKBsmqfc+Sja1PUlnaznYPNEFidScoVRCEQCmOpNsBmd+K7hlKm8tKdc0njY3NPWZTemXhx5cXse5HshZ37YCO1G1HjPtCciTy0LRw8hEBYhDiQuyU8yElth4EE6e0Im3K4PbjjwqmssdV9X3yNgs4WFrnuqZFGtzkbiKkTugxDGg4ldeINeP6Ry7Hhu9NwtjigFAENFScnFRCAFMA+gd1X77kckwb3LBB1tqSB4eNuoaRIwSD6CU/SpgFvM6PGRB2kLy7+CTfe/Gw/3ll7IGo3VXKsKIpsqCduNgc3nSdUM0yHy0za6d2MjRRRugRnvoNzoaC8gcld+j/mUd/cxRRSMlPjoNOqWaSe9kCuxocc5l0F5SisaUKMToMByck4ZBIzHIGnRsB3XPFUZBslEcSasQnZj8B5c9s92HOioSUB9gABAABJREFUDPMmCFnRlMQY9vq/GnHUZ08ZxF5kDW0mrN1zCgcLqxiPv7m2C9Ymq48u1e0DOMQI1CbGGfC79zajsrFduKbiFEwCk5R0QoXsaPXknLoUTiEj4uWh6XBDZfOya8kZr4LHoMSSST275wQ6My/dfzl+/8a32H2yjL0nPfGH9UnHwzcswNGiGhwtrkH+sSpYKzugbRYcEY9RDY9W6WvOxjl81XqyRr6AstkET1wMdaCDKlYPtUaNYcOycdll4zFp8gD8lIwLrT8IeP+/xX6g33re/i+Wps3GzX0fwtf1q9Foq+vRvYV49HT1UdRfMqJo/H3srbj3+Buos7X5qDsEuLQKNZ4YeS0OtW3Gqc5TQd8LNHp4djn0sDo0cDrlI/N0wz/T3ohPS08xjvkVfcbhvdL9sLqd4SBfomfI3il4qDgOfZMNqO0yQ6lwIz7OisR4M5y8glFrNCpBsz98/wGTTQuXh4p4ooMfchi6t8BctxT6EmLTBNJ+NmBimHrQT81oP64fPRrP7tkTdJRY1EZykMQpsLvd+KjgFDaVleDzy69mqjVELdIr1bhi7Rq4UjmmRS9xj6Xvsa6rnvAGWqHGE3gncB+wTZ9xYl8A+p3kRqMg9BiVBjPXvuHLGCRp9Oisd4InFRgq8uvhzZmyFompOhS3hMskEng2aDT4eQD/nmosSjvIyQH6JyRDI+q4E3D7xYdf4LQYdadxBY7eQ7LR1AHYysHbQvKJPDgCbp0cFIxLL27byeHZ9buQl03c7e53YsW44UwRRW/UYHtlOWa+/RbUCgXm9++PG8aOxdA0f7t4UrbZXFgigFgXwIeWwCiEcRGQZPMf4DwLxbRiYbL0HqMzyI8rL0XgbyfHG1FkavMv3xMTx0T0l/b+gLZL4FAPy0zHpFF9cPGs4chOjMNX206H0UYY3YVq5rsE8HXyWLUswC+ubsaZykZWuDlxSA5TQikorY8KbHipQVBANJTtf2iZBFFPdBzUjuCx0Vi7A+hklCHQEVOnXW4M4v0qdEXiptSdQnbAEq/EPS+sw8a/3Mwae23edxZvf36AdXwlo0ZGC2cMwZGSyJQkMqLOrN13mklEWoiHT5hUqvcIYNVJmZ2eZA6IzkP1Xj5QLa6qql5mh/+FRlz5c0ercGr9WTRSgzolh5zsJAyc1Rfbj5XAZHGIspI9q0ehReie0WSxAPQKlJ9lqk4cYAkG+cyZUfKszsHZZIOxzMoyB5IKk7HeibhecchO6BmFM9DoHH7ul5eiqqEdR85Ws0zayP6ZrBiZbGCvVFw5dwy+WXsEf3tig+97hmorrL0N8KqUguysWslAfiRjpxoV0HIcjCPScOPPZ2HRxDx2np23H6edPzL/QWuwteODiu+wqeEonF5qSqXC9JRJqLaURu7+yZx9AgIck4MclRhcxJJtSMbqKfdjb8tZHGgtZKAsL643LsgcgxiVHuk6LU53nWaFjeG6LiSVpYbFrYHdpu72DvfPohMM4FPjrTenXodfHPgn2p3WIMeCAI6kYiNtQ1ovjUCv8SAluQIJaY4g54AKfkobk5CbTg8iSrMHzwHp0De2CTc/OWW1wOlTqj1wO6OhCh4cPWgCed/ST57H7MwBWDUwuOj1p2qrxo7Dvqoq7K0SuwVLkXuEH2o6B9tsVjy+exveWHIpNGKaJL+pSfheyN2C5BU1XQp4Fbyfyy22TQ9dvSfWHf30Yj4W/SOl+SPXFQR+2GayQRGo2tCDBzQB+Fl9+uDWcRNw15df4WB1DXuP6AD0cMyMi8WrS5ciKy4OTo8HL57Yj3cLjqHLKYRmE4h+NWwc7hg9GQfLqnGiJlw+NXAoHh2gsFLnSY7Rdehv/zKB2TIehbUtIh8k8o7E6bR4cNFsPLFjBz7aS0paAn2J1L/Xnz2LL86exd+XLMHiQUL0stVq9TlECqeQ5QhzyMQiXn2zyJNWAklGPTparYyWwqKMcQItSw7c0/z1S0rCGJGOebi6Bi4xC8EKbAkXRKAvMF59+AphY3WqHA6hGYfym/GP/MOY1Kc3zF4XO4WJfuARKUfEwJAaKNGrsSVYzKC2uROPvvk1TpX6jxU5ApOH5MJipw6dwccsdHz2pG7kFtmCYqZDzqQmWT4HOYTGwvFMblFOxUW6b4u9C4MHRj/cgrShK14Ft06BDrMNWw6dQ0ebFS99tCtoU9TQasPOfEDs+Bt5Vzjszi9n4F5yUAiwSvQsiUIVeC73yGSmJzVBvkbgX2HU+OrxBz7FrvwKePV0EgrBHHL0imtaMHpoL/zi5tkorm1FYUUjPvvuZI/WS+czMzn1ClFbXyFmK6TC8E6bHXcsmIrVz2zxB8IC5sNcZ8Kj932E517/eRg1yWxxwGpzIiFeD00EQJ2TkchekWzOhSPxz9d3oK3FJEh4engYKyxwG5RwJmnhTo+DukoIYsgZc1ISY9i+1ymcePz9Lfhw6zG8ft/lSOxB998fnfHni2zP27/IqixNuP3IS7B47D46DYH8nU3F0CpUsMrwpaWbgNMt0HjiNTrMzwxP4akUSsxKG85eodYvph/uGXgPXit9DRaPhfHyvaQbDx7D40bgswoh8kgqOtHQEQ2l3uLXEh+RmI2tC+/Ft7UFONIqFAWOS8rFe+XfodbaBjej/Qga4wT5qGkV1QPEaq1MWz7U2VAqeXg8SpTXJyM53ox4o6CoQxr2nWY9WjpjWFMuAuY0To+HY98JGqNX4N97PQqolF5fI6/wPQEUavksAMmO/nHsRawHQHfWareg3NTGOvjmJaQFNRL6sRhFmh+dOQcPb9mMYw310dPoIsj/rrwUDWbqlyDI6VFk2BF4eiq9gM4DGHk4EgClSQWuSyk0TmLOEzV9CVGp0XTDgZDCgZITEJJgkWWaEdXeTMXSPZ93FnzlOFw7chSSDQasXrkCZ5qasLu8ggHSkRkZmN4nV6DaeL24desX2F5NnYL9G+9w2PH8sb0429aMFLM+skqRuEFG6ZAYHl6hwFeIevJCe3kRuLGIH8mrioR0Of4xbWvluBHYXFKCj06dYu8FbluiB9379dcYn52NVKMRCXq9SBfioWvjmZNhywTsFGwXLw91J6BvFGRMpbntdNjYGNRdpLhB9Aqgq394oyYC93q1Gs9fsNg3ZnKMgg6VEVB3hft40jXDG3iWPBDxl0BhCmFz0e8ksentq4C2lZRaAqVEBWUm0tFX8hwS4vzqV62dFqx6+iN0BDRAYvPm5bH/TAXryUC1Ej5ZwJA5tycL+vZBA4mURAz5skTZkGgQbBGml05ZAS4gikOdQnl41F6haVLoxSKqcDF2BznT4jnDCneJ/pKoYt9jx0PBYe/JMuzcW+RbfdAQ3TJULJmoN9FaAqPtbBjiPvocIjpGUuOxqDEVylxxLMPB2fzAl+zTd/dh6oi+SEr8vwF9kuTt6LTCaNDAYBA8vzXv7sHuU+XwGkI6s4o/T5ypwcZvTuP+2xdi6fThGNU/C899tAPtAecKda+958pZKK9uwQffHhGk4KNxUUX6HHWsJqeTaeuzrBmHw7uLBc66R4Ya5eVRcLIap45VYtQ4oXP76TM1eHfNfhw5LjxjdTo1liwYgetWTkHC9+Tr6/Qa/PmNG/Db2z9AfU0bozGxpJDVgwSlF/c8czX+cee7MLVbBEncUCxs0IKPM8Capvad/hUNbfjt29/i5Xsu+15jOW//GTsfwf8P2dNnP4HZbQ+jynjoHd6NbEMCAw4WjyOYc+5WsQi+kvNiQEIJCrqOYnTCpO+17RHxI/D86OdxrP0Y6ux10Cg0GJswFpn6TOyofxqN9i4o2BMoOs8iSWcIU5S5NGc0e0nmhgN/PrOBFQYLHWL8puR46FTyvT7pnpgSZ0Z9exzqWxNR38pDQZFhHw9bjGK5FQKP36mBLtbBCvnIXHYVnOZQihHRNrxQ0QOTeONiRFGp8fq+F2oElvI76jFHH9xkLNAarSb88dhWfFNT6ANXmYY43D18Olb298/Fv8NoH041UaGpGwMSk5BmjM5XJb3xn69ZywAXo4SoBdWRqHQaKsrsaPcB/Hl9+7FmTizLpHeDMwraahIQcxtdQKoL6gotvHqRTOAWOsT6gLG35ylwWUDvu2z8K1DYSJKp5+slIEqA8sULL2JNqSQjOkuSQY+tFWUo7GiGp4rHzN65+KaiCNuqyyIOkT4faE+KDO4DhiwNUZKK9GioXX3wYl6dwNlX2gFHmhfqLirmDN6xvIxU3DpzEq7/fG1Ex4LeoWP1SX4+7pg0CQl6HcbFpaP0YL2/oK4cMFYK2yTlGlYLEGkSVYIGPjkg8SVgkXUHBQoJM3mBZcOH4vaJE9EnwR89HJ6RHjwmpiAiULqkSDuNc0L/XjjV1gSH2FuC7Q2NUbx1hI6IoslUsMtkGNkC/iUISNmSOXDNXlww0y8hu+a74wywyfHg2fTR/qkEVSc6zZjqCgNoAifeB8SlsbkjzBRlLx3B4F5tka9MZdF6BtaFzIDSRT0aqBhVaDctzYOwIc7vFGiDq4Hpb85F9Cr/iKjT74GaGlhpLtzE4+epSbh/XLTLNtJtj3LIlQq4Xd2LDIi90vxOj9xpJDoTKlKr4QQ5Sur6SqZ0eFFT144/PPEFXnjumm63V9/QgY4OK1JSYpGaItyf6O/3V+/D15tPwS5mYyaO74drrpyMzz8+xLjt0ZyZjVtP4eZrpyMhzoBFU4Zg/oRBOHimCq0dFiQnGDFpaA7jui+661UWRIpUfxK8zzxTj2LXe8C2i45Xs/MikhHo3rn1DAP4ew+V4JEnvwj6nPZv3cbj2H2gGM89uRK9MyNH7CWVn80Hz2HToUJ0WuzITU/A7c8sg6vRgmP7S5kjN3hEL8xeNII5AAO3PIw/3fQ6io4JDoWv5ibeCGf/NFgzNHAblUHX44EzlSirb0W/TL+E9/+S/f73v8fjjz8e9F56ejoaGuTFEnbs2IE5c+aEvX/27Fnk5fkVo9auXYtHH30UpaWl6N+/P5588kksWxbcCK07Ow/w/wNWbm5Afqe/K16o8ZwXTY42vDH+HhxsO4pPKjejw6GHw6NhzafS9SZkx3QycPx+xYvoO2wQ4tXRL+xQUyvUmJQc7hgMiMlkAF+ndYkFtpFl/K7oH7mBWafThI31e7Cl/gAMKi+sbqHPqnSDIBqPTinPr5csJd6ELpsWFhvTvBPBvXCzZDEfl5/syXs42NqU0MQ4GHh3mrXySM+rQB9jEqb36g2714W11ce7z7RHQYvNNjOWbX4XzXZzELiqt3bhoUNfo8VuwR3DpuFfbVQo997p43jx6AG02qzsPQJ48/v0x+Mz5iFTBOOhKjp3fP4lK3yUxipP1Qo3fUAH15vGjMeXxefAkawogXu2IgT/JACX64C6SgNnrkg+pS6ppL7jJO9KLgTvt+BPA6o5oxhzIMTmQt0ZccOn987FkgGDMDhV0CiXuPW/2/kdPi2kbp1C1JzmKtMYg6TYbqLzPFDd1il2AJYfh++bNJ3uAHAfoY8cgTz2/Kf5TPQC7SLIp2ZkbuC1q5YiRqvB6QYqDI08SfTZiXqBjtJptqHmWFOwGqmYiKFoPiu4i9bgR5SiZIpHbuILgxWEKlTAuEG98eeFF4R9JTcxATP65GJfZZWPfsgaXZE/KiqKTMjphbevuRwTn3/FNzfC4CMPhWnGs885eYqMgkfOkFQM6uuvQdiwJz9qkSs79whoe/xUFHNWePMldpipDIUp6ESQXJQAPamfsQ6nsiUnzKi+wEuOBevPADiNimDuYcAXWQ0AgXtxP4M2TQ2aDEIDMKJR0bllhR0QA+KOBAU0XUL2RvomFfUSAIVakMf0za94vt84bwJe3yg0M4xmg7NTUdjYwr6j8xBdD3DQiRWi56kyCcXHPplQioATCNYpYEpT4MSZahSXNGDgAH9xcKCdOFWF19/aibOFdSyNQSA5PS0Os2blYfv+IjQT7UQ8xizTc6wcR46Vg6fCci666huB1NtvfQd6nmN685csH49pI4MVqSib19Yl3Hd7VOIlRvED/8zNSEJHgUCVjGR0LKwWB1Pheuq5r9nfoZc57Wdjswkr734Loyf2wS1Lp2D0oOywdTW3m3Hrs5+iqrGdndMKuxdlJ+qxfdNZJCUb8ZubFmDGxODC2Mw+qfj71t+i+GQlio6Vo7CiCZ/ml8Idq/E5o2G7CuDIuZqfHMDnIhzLH5KHHzZsGLZu3er7WynWaEWzc+fOIS7OX3ORGvBc2r9/P+s39cQTTzBQv27dOqxYsQJ79uzBpEmTfhwA/+GHH0ZSUngDp/81KzP3TPauxt6Cdtdx9I8XCqLkjOg1B1q344KMf01KbErqIOxrOQetlir63XALXUGClqG/0g0xuGaQfHS63taM+0/8DZ0uE+NqGzUUAVLB6lLDyysRqzJgfuYITEjOxt9L3o04Frrn98toQXlJBsx0aooa4iBnwaHwFQBStE0aIgF7gbYTOYxb0t6G20ZNwCflx7udDxWnwKikYN3/c1112FR/Gq0OEw42VqPJTo1F5MM4z53aieV9RyLDEL1b5Nn2Jrx77hC21hYzytLIpExcP2gC5mcPlKVm/PXQXvzj6IGg9+ih+l1FKYvob7jiZ0gzBKe4vysuQ4tFeChJJkVGoxmtZ0Sa/0E7PC0df7tgCe7evy7yNLOwMFU68tDUqOHMdrHj502gDYrk60jFuFRkptYgVqNBXWcwjaI7C9QVlzUeyIiJwXh1Bj779iRWu49BpVDggpGDcNv8SXj+xH6WnZDqQSSwQyo99Razv/Ot3LaJIkTtG6I5GfR1FYd50wZiSnYv/HHLdji0UdraEu5h9QzC7+5YLzSV5CwLbqd0bjClnSgyqCxKK6apNu4qYPSFSKOUqB2RVya4X4FDZu+4gStmjYr4tT9duBArPlyDBlOwM0wUhfTYGDx78SL296Tc3thaVOIrnI02msAIeaSx2kLodxS5jGa0VdYXw+Fh4IkyDDFVQs0JXeYKgwLOeA5WtUBtVFM5Cbs3+elBtBJS0GFJS5F+FZLAlN8fOyU6RcpKhIZMLCPD4hcRdPKZsg8PFzmHUrMmaVyiUZaGrn1dp/+60XbwsKUGK2ANy0nHbYsmY0peLtbvK0Bje2R9U4ryv/qL5dCqlYwG9ds/rENFXRu8GUoGBikWQ3NA+8juO37fJ2h85JTZUtQ4cqRcFuAfPlqOBx/5lGWRFE6PSP8Dmuo78fHaQ6zTalhch5wAOg5aZeR5CzgnGxo6oLJ7UVfTju++PY1rb5yJ626a5fucrjeDTg2rXSxEkGSXojSS8u0vzQPH4TfXzsWzRz9Fe4cF7hgVywwxCpfJHUTh6pWThJ37ihjvPur1bedx9EwVbi2sxp/vuBizxvrBOt3H7n95A2qbO5hSDzlXgddvW6sFDz3zBVatnIpVK8I7UA8clcteGUU1+OdfhW7I0azbLOZ/ualUKmRkyDunkSwtLQ0JCfI9kF544QUsWLAADz30EPubfu7cuZO9/9FHH/V8XPgBtmGDvxI70Ojho9PpMGDAAPTt29c3uP91664hkWSbGzbB4i4C3a8iGT1gyswCt/JfYRdmjcEbJVthctmREG9lOvhOpiPvJ0IPSUzFm3OuQII2POxIN5I/nX2HNaGSQBLd0CjbQC+CJgszRuKuQUuZLOhb5XpYPJFBHMOBzVqAHlRiujeoEJEVqwndSKUx8jKymGqtC/oYB9SkiQ7giYLP4KInIItgy9+X6SZ8WZ+RSNQKVCSHx4VHT36K7xoL2H7QTYy+S063za6GwxEeGaIlXsjfgacnXhxxHzdVn8Odez9nv0vRzYNNVdjXWImfDRyH348L1u6u7urASyHgXjL6frPVgpePHsTvZ8wN+uxMYxMDeYFdUWnuKKUvdJqUH9+dEyb7wKFkF/QfAByRCa3SW5RpYZQswBPjhaZWA00xwKcTDcDLHsycRQmlQwF3qlPg4wdW4no43DxwCq4dMxoXffku6kymnsVRKOBJD1oC2FEAs7XZgfUlZxiApMUcai/WFxdiXVUhXAYP48pK/H/pXPM9sCjzwM61cFOZxQ1KXVhDxyBiACoifGH5EvZWvduMFw90ExmlJmDEgqLTlSK3xBG3AXF6LVPOIZuRm4sd5eWRi/MBzOwj8HhPFUVvdtZt10thKVZL41s54xsBj7y6EZumFSFvaCY0KiVm9OvDovdkGbExWP/za/D+0RP45ORptFptSDbosWLUCPxs7GhGiyK7fsIYbCoUu712x7jqgZxllzUY0JOiT2NbeAfxwO0NzcvExF7Z+HzLCXR02oWsjJiIIvoM186DTyJ6CaBvFbMwYkSdV3hZcawlnWPHiZwQKXrfnZEDwaZeorDJHAcWS+hBEyYhwhrhQ46DI56UhoRiX8lpYMo24lCpN8SkIbmYPDiXAdrbL5qKxz7YLL86AFfNHoPEGOEYbj5agMrqVhbBp2hxkEwkZcbE1haRxkYZigpSuAkxopA8+9w34L1ecNQJN8BJYNMVqXeDhN+pdsFDGajAdIjYGVhajs0x1Yt52fbIPnxrF/oPTMe0WX7KxJJpQ/H59lPwuL3QdHmZQ0Ydab2a8OdP4PoHZKfgV9fMwbi83hg4vQ++o7oPds8SdyZNC02bC9pWJxvLwotHY903J9gzIDC7ErYNqZ5CBfz+zW/xzQu3QqcRsAZJpeaXNYBz89CKfkLgNEm/v/3xPsTE6rB45lDEGsMrpgf1TmXXtdMd2VulEVLDw5+c8dF18Lu6/DWHZFqtlr3krLi4GFlZWexzirA/9dRT6NcvctNBsjFjxsBut2Po0KF45JFHgmg7FMG/9957g5a/4IILGMD/PvaDAP6ll14qe/JJ79HP6dOn44svvkBi4vejkvw32tjE/ky20uGNrLtND88aWxEUnB5xKjtUgS69TCFoT83l9cDldbPmVBJorLdVo83ZDKMqDjmGfvj7+FW468jbMLlsSIi3sQJWlwjy7xgyG7fmzY64/iJTFUrNkSXXCPR/13gIq/othVGlx7Je8/Fh5ZcR5oCDtTkOToVCeMbJBasYOVYEdmwawhfSx9hhjLcHPStVag/UGg9sxNV3qYOCb1I34DFJ2fjt6IW+9TyZ/wW2N57x7YfgbAhm0LvAezm2rlDb1yjwtqtMHVhTdAoVXe2IVWuwpG8e8pJScfe+L3zOgmQSUPug+CgmpvXGkhw/h/izwoLg5lMhxvjWZ0/jkWmzg4A5FcfKPSAUDg5eTgT5hI9F8EBjunvCFFw7fFT3ERq635tVANFvpFlRUWEz7RcPBa8A51Vg47Jr8eqJQ9hwsFDgHjdowGt58FSky2g2CnB2Bf7Zfgq/mDAJ2y69Gffs+gqbKouZU0X7TepRsWqtIMvKwIkwFq/eC4WF6D9SRDXgdBCHG6/QwtPpFOo2VICLlSxIhaykMa5kEURXPPGJSN882KGM1j2UqBW+ZaTshGTSdHmBsdn+h9+0PrndAnwf/1r6W8mza37l1FEsakp20/jx2FYmXx9Ac5ag0+ESkc8pjjIiRYoUrIJ45iFG50evpHjU1Xb4zwOaTw3QlsljXWMxUFssUDCIp6/TYmyfLIzul4VJ/XJw97TJuGf6lIjrH987Gw/Nn4U/bd3JtsXOc28UQBxBjUfa95zU4GfOshkj8Or6fRG3T+s642zFK5dfjn3Hy2EyOYJkOKXfdW2AUyx5UTnpxcOeJCjsUAGxvi3A95E6NHdj5CQ4iUcfLRPVE85ATwr8FRzcWlLrEf50kbRswPqtLhfe2HoQFU1t+Mt1S3DJlGHosjrwty92M4oKgX6KjNM1fsXMUbhn2XTfqjduPS3cH5nDH64C1e3oKBuZX4rv7ngZiXF6XDR9GJbNHomiwnpGv2EUtdAJihZB9+2yIO8r9HEQaFihxdvseGkVcCnVUJsEDj9lmT5bvT8I4K9cMAbfrD8BdDiDqB0ugwKWVDWjeZEM5u1Lp2JgZjK+3J6PIyerUFncgsf++hVGDMnG9nOV/rkJzLAkCc+Ru6+dheSUWOw8VBwmuSu7fw4vPEoFzDYnth0pxoVThefGgYJKdi3R52G3L7EpGss0KTi88M42/P2T3bhk1nDcfdVM1idBsli9FkunDcfaXadko/S0jWF9MpCX46fE/WSMj3CJiu/17t076O3HHnuM8e1DjQD9+++/j0GDBqGxsRF//OMfMXXqVBQUFCA5OZy2RI1fX3/9dYwbNw4OhwMffPAB5s2bx7j5M2fOZMsQf594/D3l9f9LAf6WLVvw29/+lpH+J06cyN47dOgQ80KoKCA+Ph633norfv3rX+Ott97C/7oZVDqsyJnJJDLljUes2i4qSvAwuXVIUFsj3ruoE24kKzfX47PqndjZfBJ2jxMu4qq71IhVJWBR1kC4uSNocPhbWydpUrE06xqsm/lrfF17HHubz8HJuzE8vjeW9Z6IbEN0ilWhqdwHkCOZi3ej3FKH4fH9sbzXArQ42vFtwx7GyydFIennmMQh4CwDUaI91U0RqMBbJWAWakqVh4H7CA0VodcJNCRS7CFqD92ztEoFHhg1B1f2m+BTz6mztuPruhMR94q+p9O54HSFV6w2O7vw3LHd+PvJ/b5P6Nh+XHwKiTFq5nRFMlru7cLDQQC/1kyRhOiAwep2weR0IFHnz7LM6t8Xf98THvmn46W0c4CTR0yMFhcMGYDs2HgszxuKrFh5HWatUsWUgs51NAlgtl3j18yTzE0OPgePgWeNsLxaD1Zt+hxPTJyPLw+c82+fCjqJchVg7TYbDlRWswjwa3OXMadoS1UxLC4XBiYkY0HOQBxurMEvd32FZptFeHDrqApdoMowkM8inf6pmpSVjVNHa4WGPgo/uJcUSXzmBdQdSrgSPQAVIQeB/ABNwEBjuuD+R6cP5Icy3JTAodJqnGtoZt1m+yQmRuf1i8eHpEd9q/BwGJSZghvnTPC9N7FXLzwxfz4e3bo1qLkWWbxWi3eXL4dRI2SYxg3tjR2H/RHyUFNRQbRSCdK2kuOq01hzkxLQUNPhaz5Folvm3gKthGhKajFATmMwuRzYebqcvTy6vUzb//mVS5AdH4fGDhPTzU6NDy4Ov2HiWIztlYUPj5zAoaoamCx2gQ4ROhZdSHRYZqyXTxsR9J4mQcMkNal+QOYwMoWfLo8NH+05gcLSxojrZqURdlbWw+oXXAZS2KFuxULhr7T/zJRcxG0GmlviNYdkfoL42yy6312GpYfFn+Qg0eWXGFI8HLDpzaeKcbC4GpMH5eDaeWNx0aQh+OZwIerbTEiI0WHR+MHISo4P+l5rm8V3mahtJBPZQ6cjwDodDsDBodNqxz/W7sE7Gw/h4pFCU0cWhf8h/GgO6J+ZhJKmdjY/kipQ2HrofsJkV5VQiVStM6drWESfCl9ZDdQbu6DocIZx4lVWL5Ia3LjlVwtx0cxhsFgcuO3RNWho6fJdT62dVmw/WiJfhCxu35OqxcJLx7CagsqG9sjgjDIQ1JSKnl10HzXzcCeqUC72OmCLSHS3AGeY5lDhFOVapeUUQiaKmn+t23YKpTUteOnBy1lRsWS/XD4DxTXNOFFaF9TxmX5PS4jFn26+EP+NVl1dHcSRjxS9X7x4se/3ESNGYMqUKawo9r333sN9990XtvzgwYPZSzJanrb1l7/8xQfwyUKpulLw/N8O8O+55x7mgZCXIhl5IETPueWWW5jnQqmEVatW/ZDV/1faqn4L0emyYEMtdRD0RyHp8otROZGgkdLKAlh2eFXQBUof+O7xHIbF+RvwBNqBljN4LP8dBpal9ZMmfazOAbu7BR+WdyFO48SoFFLlET6nSP47FS/g2tzbsbLPDKzsE87Hi2YKn4wJKbwIzoSb5CxFmo5W6Wa/S1r5FIn8xYArsThzBrY27keTvQ3x6hjMTpuIoXH9UZLeineKBfm/qBZ0k/XPJUXvoz0LGaDXuGGxqlihLpnd68Hq2s/QL96IaakCONjVVBgVVLN9UgYq/fg+gccNBu4DR0bHRKHxoNMtHVMucnFkay3Gv/YyLE4X+iYmIpnS4N0EAylyTzz2QBuZlYEJvbOZko5s9N/L4eHps3DFqHB5VbLqrk4ca6CbOoeJmdm4YfAEPHBwoxC5DwX34j4R99gVw7MoPX1cberEptLI4DLQ2q1+6lafuETcPFwIHkg2LSsXT09ehN/t/w61ZiITc/DovcjRJKDT5IDF6WQgu19iIm6fPAkJnBZ3HRXoKUyxRhyzjw8sapKzzCNlHZwcUwEKbGKkVZL8JwcHOWWBtCIGDHloxGcq+yiwrkpchtbb6rBh+Qcf4bKxw5h05dx+/bC9rEz2mLDrlvNTfijaeNPkCbhl3iQYdcHH96qRIzE1J4fJZZ5qaGCSqLTuZUOHsk69ki2ePhSvfrqX6WjLqu54efxm2Wy8uvkAWk1CYIEWYwEHDvjdVfPxzDvfBUW1SUWHySN6uCBwH/hTAsTFDc244i8fQuPiYHEI6DwrOQ7zxg3Ez2aNRRp1xgQwKisDoy4RePkUMf7r1j14/+BxRjGTnKLERD0GZiThRHFt2CVBy0wY2BuLxvkfnrSeV7YdgDUL0LWIcpjS+MjHjRcVgTgOB89VMjAn0TRCjR0WN9A+AIhpABzxlE3k2f7LgU+XUQFtp0wE1fc5VeKKNB8xmjhucC8cL6oJUtFhHTeJ+q2OfGNLi49BrTMyX943H1QEm969pv9r3xxgAJ8sIUaPq+bIP3MkS02ORWu7me2H2uKFR6MUHWDBugXnYv8MKvyVVL46PE58svskIopB9oALT0D3D09cjtJzDfjLK1tYRiKaUdEvAXy2+oAT7MyZWuzYcVZ+6PSPy4uuyk7oNWo89sJGBu7Z9e1nunbrndD1tetICb75Lh8KpQJejzeY2sTzUHU6oTT7+zawKaA6A7cWnc3+40+Nrmh9ykBwH9KAjb3vJfofgXwq+AZOnKvF1oNFWDTNL8et16rx2n2X4+uDhfh89ynUtnQx6dCLpwzFsunDEWv4vs0QfhoR/Li4uCCA31MzGo0M6BNtp6c2efJkfPjhh76/ic8fGq1vamoKi+r/WwA+yfbI7Ti9VyamjQcOHIiWlpYfsvr/SiOA++u85ViWPQX3HH8KHl7BQHaM2gG1DB3H7VXCqxBaRwenE3n88ey9GBI3GhdlrUS2XujWaHJZ8YeC9+BhGvMBy4t3Aq3SA5fKgy6nDtWmBPSJC+4euLbmPYxJIO51z+oFJBuTOJhtz+JUweKSlGwE0O/0qKDgvMgyetE/plfQ9/oYs3FTv8vD1kfNcghUOaIUEIoTIZqAghgvnygXmuhKPfSZSiWtm4da5YFG7YbZyeF3p9/De5N+g17GNNg8zqi0GP/6Aj8X9P5d9vCmYZQtIHlOoj91B9Zpk202weE719ICvkVsAhVB3pLkHy8aMNjXXTXQ/nHZxbhu9acobG5hywmUdWG/7pg2CZePHBb2HWp29cD2zdhaXuobKs3Fhf0HYnFWHr5ppmtcfpKlyLfAjRemYW1pQY9ib1nxcagzd2FvTRUDZqPSMzEk2a8s8E1ZEW7fsiH4ackBte4uaGOU+PuMJaiq60BJXQv251cixWgQ5AVJrk7lj2b5qjdEJVehW6tIXaKsAGvbSU4whyuGDMeCfv1w/TdrfceG9LwVTNEJcCUIGvIBE+A/juTsxApF4ZQVW51/Ch+ePskaZcXoNDBTE6GA88tHPRKdI7IXFl6ESwb6aQKhlpuQgAcDoj5yZjRo8fxvLsM9T6+F3eHygXxGh/HyuG7pRNRYTVAYlNB6VKzBWWZCHGYO74vl00cybvYf3cFcbALGgvRh2G4HTQWbaxP18nBLlHZmta1d+GDzUby75ygWjBuExy6eh3i9HygQHeQ3C2fi5ukTsO1cKcwOJ8siTB/Qh630zc2H8M+dx3yAjagRK6aPwu0XToE64DrYc7aCdSrlEzjYMijbI0hZsvOCNhdAJdFC6DfSrXEcunIFrj0rPYnQ/JMi5I44BbRm4jMFnHciuKdmSKETNm/8QDz3y6X4clcBCquaWAHrhj0F4B1euFgH4fAOf2qVEs/feDEe2/Adiuqb5e9ZBA5tRCPiYdFw8MoHI312rLgGn3x1FCsuGteTGcFFC0fgbLGg2kSj07V72P659QqB5091JVHSoTxR8UR5UipyJhqRULCsgJ2uMTPVvAQXijMqjcsrAFwZI5rN7Bl56JWdxF6b9xZiz4GSyDshRKKEJxgVgucm4d4HPkJxSSPcHupPoABHoFsuVuLl8fXGExg+IQe7TpSKjps4Wta8oPs5pG1SQXhNfbtwjVIGyOWvkdG02qGwy8yBwwNNmw3FJ/21NhOH5qJ3WgIa7O3gbV6m2CQtH7TLUpG52QNnAj2vOXyx43QQwCejc2zptGHsdd6iG9FuSPJyxowZ6KkdP36cUXcCo/rElAnk4W/evDkoqP5vA/jEHbr//vsZ70iS9mlubsZvfvMbTJggpJHJe+nVKxjUnTcg15iGRG13qg7EO6a0oNgoil2VYtyfIQwehV0nUWwqwN2DfoccQ39sbjjCGmdFw456tQsOtxq1lnjkxrYHPSdsHgvyu459b419ykqoOQM0Kju0atKaBuxuNexu4dQiDX+rMw4qrmf96unBvjxvGD4+czoiuGYUBsqRS1kKNfDw2DnYU1uJY7ZTIRF8ntUzaJRu5lDReKi3gErhRmyMg0XhWb8BjwoOD4cbD76Gd6fcif4xab6GZJGMUYVZ9F4ch1JAkHJFvwq1RxwXbS8q/yiIvsIHFsd6JFpIwHo5jgH7O8eGd949UFWNF/buQ2E7hS6FZ0y60YjZffvi5xPGYkBKOD+QeLgr132Cso62oHOJHjjflBajb0JiYPuqCLsQXETr5DzQqdSsQFrukNK6qEX7u2ePYWPpuaDtjk3Pwt/mX4h0Yywe3rVZ0rqRJoXpLZLPZIUHd235Erpqpa95kpvSz6KYUWDDHk7WRySnx78MgfsUgwF3j5/Meg08O2MRfvftVni7hIJcAiws0qji4I4XwZ4zeA4YuA/oGiwBa+qISxmXhYMGYFtJmd+ZpY6vVNCrJNUqI343bS6W9PdHo+n7+6ursbOinPVBmNevH2b1CZbzi2QjBmbh0+dWYf2209h9tITpYw/rn4mxo3rjD+u3wxoA/G1eD9qbm5HZEoeUOEGZSadRsS6ovv0TT1HWaKkH25dbhi4DzgFsOVSEQ2er8NqqZRjWO1iJItGgx/Ix4Rmm2xZPxqr541Ha0Mbuif0yktkYQ62kvgXkzzvFGgnKxoi3piCL0WiwcNhA7NsSPepG1CSpaRGrNlGS9r7wGQHowAwBW17DwZWiwpRBuThwsoydqx6i5YQWzYq3kbNVTVihG4MrF471fTRlRF88+PKXrIeAU031EiLHneeRHReHf9yxjO3/01dcgCtf+gg2Jg0Z7ATQvcPQKFwE2i4vbKlR7se8oAD04jvbMW18f2RnBCt9FNY14d2dR/FdQSlz3Aakp2DFpBEY2C8VpRUtgoINUaOsPNRWDxRKDnn905HQJ4HxxCXHUtiWsPOSJj8Be3oF3XtU1MhLzRwFTacQ9JKMxcacXoFuRH0uqMkezbGHx7TJA/DAfX76hF6nEZpMRZFMlW5QTq0CVW0m1HSY/cuza55jNStyIL/NYsP9z22QR9E9ePzRdnqlJSA2Ro+WdotQfEzBCS/1OfBAaZcPerHNeXhUFdShqdmEtNRYtp/P3nEJbnlqDZwWW9RrVMpMUZSfzu/65sCIxX+vcQKUkn3/+xhR0S+++GLk5OSwKDtx8KlA9/rrr2efk9hMbW0tw8tkxG7p06cPk9Z0Op0sck+a9/QKZMkQXeeZZ57B0qVLsX79eibDSTKZ/3aAT7x62igBeCpEoBR3VVUVqxqmgZCZzWbGxz9vIROuUKGPIRcV1si6+PTokKgtoXcLkmd0ehQsUqxVuLGm6g38Ju9pnDNVRWVps8g1O3N5uLwquLxKaJQegVbj0bC/11R+A7dXh7GJI7ot5DW7bHil5Etsbdon0Zp92yFHQq30wOQQ9OzbnFYcainF5NTIzaMC7RfjJmFjSRHMTkcYyGfgUeRaUwOfxX0H4LYRk9EnNgkNnmYcrQhe2qB2QsO62opyZRTJ0jihT3HB6mRP6qB5bnfacNuhN/DBlDuRoo1Fq8MsW18ggXuNxiOqRAiz7/T1MA+Zf4XkqEnHKFLlJqFs+ctSzSnhYq3R/J0ge8fG428LlmBAUjBY31xUjDs3fBU2d6S48115GW6fFu4QkK0tLEBJe6vseUTHgiRHxVKRnpm4nEPrhtaqYg5O4PNVyK5z0Map8HVZUdhqTzbV4/J1a/DrSdPQ7pAcY1FIXeKpszAW4In1wNbbC12NkOoI1Jrv7gFHGQcmvyqufl5uPzw+ax4D900mM17ffBg8e+6Jzg1TIxK4/xQJdmsFXrYkjcg61Ea4uxKQpgwFFbAdv+sOpi5jVKuQ39qEJquFyZROzurNnF3JCpqacNP6dWi0WHzn44enTjJN/BcWX4i5faIrNkhqMquWTWYvqU/CoifeCgL30vjItuWX4r0dR5kmOhU9rttxygfMKGrNgGY38F4W2NMrQKiLnK/OTjuuev4jxMfosHhsHq6aOgp906LX/2jUKgzpHb24jygTAm1EaLQV6bL7+bgxmDtxEF5M3In2Tqt8Uyyi89GQFEKU12sQG1DpRFCYyDGOM/UICKwTcHt5XDBrKKq6OlHREJw5DVw3ncPfHCrEhVOHYPxg4blKNnvsALz36DX48Nsj2HG8BE6rB/2yk7Fy3hhcPH2Y7zwZmJ6C2XHZ2FpZwWhy7EIlCpGNugj7lWNY1iUaj5G6F5u9rCP1hi2n8Iuf+TNE2wtKce8HX7FzUDoXihqa8cQX2zB7RF/MzkrCjn1FvvmjovCFs4binlvmseLN3SfL8PmOk6iob2eOeE1jBwOVFDlnDbvESzwoSi2O0xWngsruYVSToM/JM1fSsVEywD9qYDbuu3EeBvYPpjPMnDYIW3YIognyB4GauZEDpQBPsqkBXHZpXmgZcjioa3Lo7HmSNCzSHzavEuctkLwuYwmxekwb3RdV1a14bfUev0CCgoPSKgTvol1tCpsbZovQAX7LtgK0tJixYuJw7D9ZjorC5m4dcWEeOSR9zw65P1njo1N0emo1NTW46qqrGGOFAt5Etzlw4ABycwV2RX19PcPHkhGoJ6eAQL9er2dAf+PGjbjwQn8tA0Xq16xZ46trJU7/xx9//L008Mk4PpoOUxSjr23atAlFRUXsd+rARbqdikgtQn/ERt4WFQZ3dnb+IM7V9zGHx4n7Tz6JWmsT2h16BqxVnBcJWnrIO32Uj3iVcKGGGos2e1UoMyfCqHIiU2/Co0P/gH9WHsDWhqNhnXJDrcUi5EGnZZTC7lWj3WWEw6MkBjL7XAEvsvVx+MuoBxGnkddy/6buKJ49uxYq6pIT4X5F4yQ+PkXziZ60IncK7hsiSAX2xEraWvHrrd/iZJOfh0aR6ksHD8HVw0ciJy4hqKC0wdaJBZufZw9TvSiNqVO5WB1ApPF5eKoZkM9VPzh0KXKMqbjz8LsMUAdG830Kim4OjlYDXJ2kNydSUyjKo/MK0ooB21XqXT6Qz5wDkf8vWABtx0TtOCP73Z+sWInSjjbY3C4MSk7BlCw/EJDM4XZjysuvweRwyN6rKDq9ePAgvHBx+PG4+JMPkd/cGPEeRw9lnUIJhzNytohFNgNoJkwGn+cwJikTXosg3ynZ4LQULBo+EM8ejxyZoG1Oy87B3voqAXwSIvR1OBaNrhsNIWxA2clB3aIWI63+LrrdPeAciW7wJIPYoMSw5HS8f+MVMGo1+Pl7n+FQRU3ErrEUxeW1AgWIoqxkLioylrYfwQxqNfLvuEtYj9SITOZkre7sxKIP3oPNV78Rbu9ddhlm5AiymD21LSeLcd97wU5gqJETMnBoGhrbTeg83QkvASCehz0RsKcSPYnATpTdFA+X5Pj4wD1ZpC8Rt1/B4emrFmPxaH8G44dYXVsXFj/xlsDv1oqF1oHdj71AMnTY+/BtLOpZUFyPu5/4lBX40rLkqJEjRxQRlxEw96Hifj89LLxqVwDSsVX+rJFRr8HG527G79/ahO3HgikivlKWYESLnLQEPHXzhRiS+/04t8vvfRPV7V3+9UrnvXDDY/KOBGIl6pojSckaYfmjD1SLAsTUkz4+MGVsXzz72+XsIyp+nfvHN1jUPtK1/9tL52BB3gCcOSfU7gzPy0JiQnB/DsksNicW3fMqLJybzTM5YVHPJQA5SXEwlbTDZRE8KKFgWMl09KWmd3S/+Pqpm5CWGFzITeD7prveFeQ8I0TxJw7MQl2nBXUNnZElKtkxFtR4fKbiYEmL3lBL+q5QWOF/S5r6p+6+GHMmDESXyYZr73sXHZ1Wv4JTrZU5N1FXDeCyO2bjk7WHBaqTmK1g+9qD4kx7vBK8msNvrp+H5fMj97f4qeO1LvH7ff74JBS68PoBr92Oikd++x/Bg/9u+8GNrujiXbRoEXtFMio0+Prrr8Pkhv6XjSQij7XYYHalBLmK7Q4DYtR25MS2I07tiBZcYcW3GoUXFrcWZSYNCjqLkBebjs0N3qj3FZdIHYnX2ODilWh2xDIqUKDRbb3aZsY9x5/G2xP/GAY49jUX4o8Fn0AtEk+j3TcIYBNVhxYhqc7vYxSR/mLFNTjT0oTClhboVCpM752DOG34BUndSB8+/BVsNjVUGjccThW0Ghe0EcB9YEaDagRCm1bRVzbVn8SrE2/G/QMuw9qaAyiyUeGbELWh+yVx6bmGFLgsIXNOgWWbErzXA54KNqW3qVkXRfvFbStEahBJbbIvuRVAl1r4GcXSjTEYnxXetTDQthSXoIsUKSIYReK/LSpGh82GBH1wb4NGau4UZd0E7uJ0OjRFKOhj0WVJSUaKkIiMHbVOiY+vvBIlza1oNJnR5DBjR2MZXjt7KOr+0DZPNYudW9lLEZnapPPCE89D2dGzh1qQKQB1q9B1l5yQd/YexYUjBuNAeXXErwjpcVF5jpoiSbveg00THeqe1RvQWmNm1AwCJpPycnDd/HGYOFgocLS73Hjo281RwT3Z/Vu+xf5VtwZdrwRQTjc2otVqRUZMLPJSU4I+P1FR5+uTQDUKpPEugW9SJqJoqsnmwMHyaqYco8oCNI1CRFjbIXVNpahnhJ2VApaBuEQOFId+hc0njwc/+gZDstPQJ0T2srCuGVtOF8Nkd6BPSiKWjMlDfIRCv6ykOCwZNwRfHysEHFRoKFBsJEUVArMPXDmTgSGyYQMz8fPbpuNP3+2CO0huRMYBk87vwH0i6o6SZ42lNCLTodPjxMW/ewejemcE0VOkqL30vUCraenELX/9FKsfuZZxqSnjs/VkMT7dfxrVLR1IMOpx0fghuHTiMOaESZ1LCdxL0xx4IdPx1LUJheJsuPST1I/qPNB0emHqrSR+pMDTbxHAPXPmAyQTNxw7A6cnMrin73yw+ziunDIKM6cMQndGjs/yOaPw/o6jwvejyJ9KRnUIbX01cDuU4Ai8EtddpkfAxoNncMOi4CL9M6UNcMUp2XEN9PHIYoxa/P6hpRg7Mgfzljzb7diZkydlsxQc9Al6WJh2cLQvCZnelGQjmjssvrcH5qThjiunY9IIwUGPi9Xj5T9ciYf+vB5l1S2CjLFK7N8SadUE5rQqrPlMvJeyDHPAkYqSsWGnMd27NBx6ZSRi8fRg/v1/rfH/mgj+j9n+rZ1sKyoq4CI+4HnzRe/XVBxgwDNBZ2PnkdWlQZdDx6LJZpcWdeZ4JCdHlmqTTMnCQyoWnPy6rgBZhnqoOQ9cDPyEX8h0bVNEnT4jJ6LdaYA7tBe7sCT7t8FhxpbG/ViYEVzU8VbZFkZSUHRDVGMCHGKggnTMh8b/sHqMoSlp7BXJnB4Pbtr1CWsS5QtUeRVMCrO73jCsjknhZZSnoPep+3BnK2a/8zaLngo7lIg4vRr3TJyOlSOG4aNT+XiydGfoGsERdYR+OhTgqeUlu8I4eF0KgYcfODfsKUpOBgctp4I5CrinRXvHx6NXDyIKZW3tYQ2uQo0+q+nqCgP41PWVaDzRHuLpMUbcM34ynty9k4FUaVsSfYpRXaSbJxuCULAqHcf+KUl4r/gY3i88LhT8En89KNwYGNoUjDjnKqaJH21kvKDLr/WGKdp0x6ukzJfKpGAA1xXrhcLN4cW9+9Fu776zLgNMXjGSLzqBFLH2RKtXp131ALv2lvrHwPM4UFiJvWcq8OCKORgxIBO3vvcFavXEx422Kh6NZgtTPBqXKTh/20rL8OSOHajo8DcPGpySgt/NnYPJYsBF6n9AwN5Dib0ABEE9ElwaQGnx4Ri4yf/sJdBQMmGAzWIV6Ek6P286sK6BzQ1xewPXKzl+kRzvgK/ToV6z7wQeXCo0gLE6XQz0bysoZWOn/wj4/mXjLjy6bB6WTZAvAPzdivmMl/7dqRKoaJ+ZnKswwDuXTMWlk/zf++ZMEZ7YtjN4fNJFGzJG327K7A/VX1DUnxwnuhF1mG3YdaacgdLgHZafCAJnlCV7f9MR3H/VbNzz1gbsLaz0qQnVt5tQWNuED3cew7t3rUBmYhzWbT8lD+R4HtoO0pENSRSIP9UWHrHVHnbdBgq30XZmTPLTKgtqGllvimAZh+C5qGrtgM3lZoXZPbHbL5+GI6U1yGdZve6RFdFO1CYnYFQwlSIqDtW1uKC2Cvc6V4wSznQNGkI68FKzt9v/9Anj5nvjlOy8pAZmLPig4nDHXQswYUwfoZNxdzz9EJ623qDBdddOw18+2dXt+JNidPjsuVXosjjQ2GpilLTeGeG9gnplJuL9567HybM1OHm2FrUlTdi55mjk8dDsGb4/nJNOXZrLsUNz8PgvFsMQotZ13n669m8F+Oct2D6t/gaxWkuIuo2Ngf0GcxxsbjU6nHoGOIkfH82I2iMYh4KuGni4BvSNVaDMlCwW6ArccgkPWZxqeDxqjErqQqzGhg4rkUmjxwQ21O4MAvhN9g4UdtV8TyeXQ6xKhwWZgna/xe3E55XH8VnFcTTbTUjRxeDy3DFY3mcsjKrvf2P5qPQY9jdKxHsOXo+SaeH3rPRP3mjOGtsdMEvgnr3JocvqxhM7drAH3+pTJOUppLp5tReKGDdUBrcI8Cliz8FjUTHHTagmBLxuBZQsih8IYzimWvL+gqvw2OadONPUFEE+Ebh1/ISgCOLZ5macbKgXGhvF6Bi4TtMbYdSoe9Q6PFYTTk+6cuhInGraEnluiBdvqkVJQQOuGD8Sg/XpqDeZUW3qwLriM8Ku+U5d/1hpn64ZKqR93z97nIF76X2pYJGVfQShJ/LWhPVkGGPRPzEJ26r8gDjchCZoggwGfdefCuejccI5r1CM61d8hUfNM/D6/okTDNR0dzYRNYs46R7SHKDNMqAU/VtaGTq2FN19+pPtUKeqYXG7EFknMHAAQK2piwH8TcXFuGNDeDO5opYWXPfpZ3jv8uWYkpODSQNz8NauowK4Dx2u+LsnhF1BspdqE4c23sY0ZySuOd2OAkEPOS8syceORfQ7TYTdYefGmoOnUN7azop9q5s7cKKiPmCeRO6724NHP92MpBg9Zg0Jr0Wg4tvnb7gYZ2ua8M2xQnRaHeiVHI9LJgxFeoKfxkHOwlNbQp32sCmRfS+oGRqdz3T+ie9JIyX2akKcHl1dQnBHQGWRI6u0jxsPnoUhXoN95wQOb+B1Tb82dZrxq3e/wup7r0ZFbav8uF1C0Wy0/SKQT/0rpLGQA5WeGofZk/0An6kTSQ5aFKMGez01qqN4+4ErsejRN9BltbKi68h0Lx5eq5s1VFM6vDA0OKGyB8uQqk0eaEw2tJ0LVvD764fbBXAv3W/IWVWTR06qSl688NevcWBTAetKm54Rj8aGzsggn82RV3BWqcDf4cKrL2+DMkEJD8teRj7T+6n00GrUSKVXCIUofDMcRg/tzV5erxedZW04ebginDrEAbEJBrSECDDIzR/Jb9L3iUpNcrAatRIz5w7Bz1ZMRp+s6DUv/23G/YuKbH/Mdh7g/4esyFSOdXWbZOtv6A6VEdOFqs5EJp/Z6YxBql6+kp2ubYtbHRR9Zw9D0s1XOZEX34R2p57JYTq8Sia3SV/KMtjw+Ig7MSwhD3uad+KZwi+6LT1sC6FhWN1+2oeHFelGpwSRHj6p5yztPR4fV+5DjFKPt4sOo9zc4ht3h9OKp09vwicVR/HBjBuQqP1+BT7vFwdHNajwVcFzcLoVcg0Vg/eQeKgyijf0vr0jsrbvn3fvZuCDAB2v9UJldEGp9YSNw8u6KwUcJ5ouBenhU9GvMDCO88LJO7G9oQivX7wU1679DKXtbb5InSRpefO4cbhyuKDRX9PZiV9++zWO1deDp+6xeiJ/+7fdyxgPj8oDziX/oKUtD0pJQU5CcLMasssGD8E/80+isFVObk8sblV7YXV78UHRMUxOz8G7c1eyOgsn78XXpUJDK+mb0n48NGUmo13R76/lh1ByqDZBdILCjPbLw+PqoSNZM6/tVeVRm6r5jMBlYLRY1LYPAvpMEIeHOzYQnAWvxmOktLrQxCuyK8wzqoqPnyPy8llDGtlW6AI1JEheU+4c7HKB14vjpjmKdr1yYDUpVDj70CZJbShss2z+f79tO769/jqm7KJPoAL7KFI4AeiJ6C3UsTVgkz5j8Qi3qGoSugqqOwxoQNYtRYdtTDj2Lq8Xe4opck1Oc+Tv0Xn28pYDsgBfsiG90tgrkh2uqmXUMbkBRbtThkXxRR47+x4FzsVbCd2PqCfCytkjsXHfmW5pV2QUxf94LymDBdIt/LUNBG8Lyhrx2OrN0Ovko+Y9aRJFn7FeJdSgy+NFVkYCnnv0cgbAJZsxuA/WHSbJ28jHYASpIH3P2IrX7cHQOi/2abxQgpTjZFYh7r/KIdCHOLeXgXtp7IH7QXZiSxEqr29Gbt9UlNW2orC8UXZeDPV2n5Owv7FQyDiTjKheHfVgk6ynR68QFJHEDr5KixueOFVEp40UgJRxP6xGkQD54y9cjX/8aSO+23gyyPkYPb4vZl86Gs/8fVO367nj5jnQaFTo6LQhPS0OM6YNZOpCkYzOO5fLA7Va+b2bLP3ojReDb3Lv/5fYeYD/H7Iv67ZF7PgqgfxYrR0ddj3SNMPAY184h96jgN2rQoeL+PoOXyTf6VGyh0eXU8uoM0kaK5L/H3vfAR5HdbX9zvam3mVLcu9V7t3GBWzA9GZ6r4GEJKRAAgmEQAgh9Bp6t41xBZvi3rslFxVbvXdtr/M/587M7uzu7EqQr4T/83lYJK+m3Lkzc+97z3nPe/SiQLXMUvUmqDk1pqbNgApf9sAY5JGoDXffZRqSBSUX3s88034C06RvHB0RZpahzUaNtxsfV+5gqjxWl4otDMLPIlilrQ2PHF6Dl6dejd4agZVKa6h6n2AcfF411GoqqqODRU+Jy8r7U/uZhz2i3e5OPXyO2CFmAh3Es6VKqiptABpDBLj3quDrjPaOEw+fEnK1SW6oiUYis3fL9uC2IdOx7trrsLG8HOtLSxiPfmBqKq4ePRqjMoVku3anE1cu/wwtpKZC4N4cfRfr7F3gkwFVFwHJ6AmFLvPnM6crDtgkZ/nxxVfgD1u/w7ryEpnHUAD2MIXqDNC0SNSodVUncUn/UXhh4fmYktsX/zp2EFVdAjWkMCsHd46fjIX9B7F/19q6xMq8ocMy4BrLPUrvhUGPZSPHYnUZFZrpBbgnQOkR1gakbhPkxIsceWIu6TWUKOwPJcLGOT/p0uv8Qg2B6L4UPP1ycB/cl9bWlIxHspryzif+cR2ta2JPJAwjiPiPEnep2moso/5LNOgxMacPbvh0hVARNNZxKYG9rY2p8ozKyoLZokM3UR5iHzy4I1FO5F9FGV2vVOlWI+Pz+8GkKgdmp8Gp8qOqRXg2Yq4ppIrEso2k4s+x9qHnlCgkTV02ZIlVch0uDz7fehQrtxehqd2KBJMe508djmvnFyIrJVpAoNXuiF6IUdKnGHSjRNBgu+IZSdeSag1rWISXXsWhvL0dG569A4+/+w22HD0dN9pmMerR4ZHdTxHYM210WX+s2XOc5Skp9ZAiE1PBZk4aiJQUM6ZNGICp4/uzol9ymzdyIPqkJqKx0xpW9Ewyuo6i8gac8/DruGLGGNy2aAqrT9CTvf6XNajYW4UMDrD3s8CbJtSviCgxAp3VH0xcVnlEumOMY1Lb1646iPsePA/NbWIlNrnxPEz1Lua9h2zt6UzTwpWqZaCfEpKlv0n7SEZUIGHcEP5KC3C/TsWO59fSQil8ewL3hm4/Ro8Tcmt+jBmMOvzqz5fglvsXME8+LcSGjuqDvH7pqKmNnAeVbdiQHIwc0QdutxfNjd2wdjlZnkXkXNBU34Hl7+zAt2sOw+X0wJJoxOLLJuKyG2ciOTXOYHTW/qPsLMD/H7JjXSd79DyaNF50woRdrXWYlzUXCbpTaHY3os6WhKquFDgIrYjJq2lmOxINbuhUfvY51p4Dt0j61al8yE9oR66pOzivmNQWZBsEHrxercewxDwc766JM0RyOD9nZkT79DgvpxAbGg4yVRlSyKG2kL68fI4iTnZh0hhsaigNfuf1B1iUIZaRt3hzQwnu2P45A4BJOgMuyB+BwSkGbG/bjyZXG5J1CZibMQmT00azhQq1nOgtHmn2l7Xd71ejvcsCTXI3U9WRR5YJEKXqEjA9bQJWVB2Ahxd4BqRs4+g0wt0iijLHsQAptpBDW++Lctj4rNKkFnkMoRXebh24NBcL2bOcUbcKTp7HusoTuGZwIZYOG8Y+SvbB0SNottuFasUmZdQjeRQDFj+49nD0Sr+Z9VrM6CdIeClZkt6AFxadj0dmzMHt332BovYGVndASTmV6Csflx1mAJ/k+m4YPR7XjxoHu5eeCw5GbfgEHwVmGFCJ450mlYyAj4EX0oR/bMf3LKdD2QQvOudQg3LYh2hScdm4USjrbMf205XsGZuc3wfXTxqP8X1ysOzNz7DPWhezH6TzE7DLS01GVVtnGO2NnVFN/PU4Ej1in/GknS3fqDdhYHFzSnz0G4TkTfkxpH6jKMTDs+bgw4NHsb+2rlejeoPVygC+XuahjdsUotz0lEMoLqKYprmM7kTtoV0vnj0K184qxKZjZfjtBxsYJUbqyzAsJyVphx08nMsfyxxuYbFidbhw67PLcbq+Lej97rA58cn3h7Fm13H861dXYmAuCR2ELCshBFzIA8807WUlHWihRQWi2IJO8dUWBgKSpCQqk/Q1A/myazpYXoetRWdwzyXT8f2R8rge8XmFg/DFkeNhC0S5OmyYuprPD41JRYUMwo5DBaeMUsVlep+SVEw5R5J7pGq7ZheHP/96aRSolxtRdN687TLc+sYKNHRaWVRFxpQSFqQ8qe248c63B7C3pBpv3X8FkyqNZd0ddny78qDAfSfa4Gkr+AobPOkGeJP08Jt1rI1UqCls/eyPlqmUG4Hf40UCnZRoUZGmcfhZNEBurgwtXGmCN9tnVsOvVzFuP5PEFGs2qPw8vOZwcC80SArd8dB2+xi/n6fCWKRh7xAWJkSPueCiUH2D3lhbpx0HiqvhpSjHwGwMyEtHanoC5i0WormS5fVNxZhRfVF8ok6RWkR5BXl9UpHfNxUv/3Mjvl57BC6XMO/1H5iJ626ehdnzhOTayvIm/OqmN+Gwe1g1XTJbtxMr39uBLV8fw3Pv34n0rJ+2ugyzs0m2Z+2/ynpSIw3qyJNgJQdsba7A3YMWo8XWhJNtxDsO7U/KNHVdyXD7bMiw2NngnmGyo86axKZ80mIv78pkgH9AIvEyOczOWBxWpfYXQ2/EnQeoom5AcTZN1iZgfla4CgHZHYPOxf72MrS4qRR3gOUNEMDXiLN/pkGF6en9saaGvK0h1xFRj3qanekKtzaWwUcKNQD2tlRDq/ZhYEY7NBofA5N72o5iaEI/PDryXpg1RpyXNwzrq08qFqWiKaOpMwnpSVYYdV7GDc0wJOHC3Gk4P3cqi1DU1Wuw+kwx299PSa4UleixnWJVWboiAl2yzf1eDrwvnstMCAt6rdRvQKCbKpkIB3hk/RZ8378afzpnPnITlCVKlx8vFqscipSQOKdhHlUdzyqvBtvOATafF8/s3YIJBVkYkJCO4Uk5it580oB3cC6WYxDTcwoeVdZwMjkdiwoHKVkfSyLSDCa0uaIjTLGMFnBWjxsmtZZVWvVJ/IcwE98PD8eUKugdcicGcOP0wpih5VevuxjT33oNrp7ULwA8f8UFOFxdjxWHitHlcqFfWgr2H62CM7kH/U2WFiAkUsuHAPLIa63xaTe82IVE89F38PAkcYwWJt9Hp1XhD7Pn4tJhIzDr5bd6nRyz+Ug5cvUW9ElJQlV7Z4+7yQuFxTOSolSiO9Gvz3y1HVOGFGDRmMEY8usb8OG2Q1i5p4hJ27Lr5SK895Hn7wHcU1QmK1l4b55buR0VDSFwH2xfgIfd5cFDb6zHikdvCHs2JuT1QW5SAhpbrdCERE7CTks0JXacaMzIAK6+k4fWGtHUiHbTs/DptiP46NfLcO3CQnz0zaGoYxEHPjc9CedNHYZVJ06IuSrigpioUFLysuzwNC54NEBuigmtbaQ5Keq26zghkuUDbPka+PXSZMPBrwEcRjU4tRZ2jweJsmrCSpafnoy1v74JG4+V4usjJdh+Qsh/kqIKEh2O2nu8pgkfbTmM2xZFzyOSnThUBZ8v/P0jUKxvdkLb6YE7PzoBtbemFbXshxZkIj87BTWNHcHnnJJz5etFWuyQ515ulHzrSVQH7xln98PQ6WPfxzSiJBpUMNoD4B1CCI6iyTQW/+7Rixm/vzdGFaefeec7fL39RBhgHzO0Dx67dzFyMqKP88sHzsO9P/8ATqqQLavaR+CeKDY/v2chHrznfVRXCcXIJKs804zHH1mJe36+CBdfPglP/3Y5HDZ31EKB/t3WbMWLT6zGr5+6EhqNKkxl6adm3P8BDv6PIoQ5HL2bnF9//XVkZf0wHd//X21Y4kCo4nQ3jd8E3EnVRfwGL5d+h2/qpaTCaKZhq90Cp5eKB9GEIBR1kv+9xkZefy3GJE3GuKT5eK30O1y+7QUs+f4ZPHN8I67Pv4Tx4qXzSeggx5COf4z7BUya6ME+VZ+ANyffhwtyJ0GnEgsK8SoG8rOMVlh0rSjqPoB+SU3INCqERnswifctvWNevxoVrSmCdrz4bZm1Gs+XfsB+v33Y1JgMCzoKFQQjs7v0sLm0qLU5MSJxYJB+NCAlFT6fCn4GyklyTdSy7xVSIrAlSG3SeVQqAsIxRo3IPR1aBIjGI4J76Zq3VFbgsk8/RrNdWYayw6lQCSbeeVh5e9lHJJ9/ePwQHjr4BS7f8gYu2/waTnQKyYuRZtL2nPicoldAOzFMq1LjphGFP4imS1Eai1aPdSWlcDq84NyyugGSscJTHKtIS0Z3nYpyHW0K1VGItGSTARcMGxofFPOARa3Dv77bh7+u3IySM81orO/GwRM1QdpIbyzNYGQRDcncYnFQpVMTmDAbdGEVVxnI7+Sgb+WYsg15k+8aNwmH77gX144eh/puK1ps9theKdn1ENDbsOMklv39E+w7WqVYXTjMuN7RPNjVxXgZJf7/hzuE5Op+mSl45PL5+Os1i0PJuLE6hG5maFgMOyYtCFh1WTUwpn8O62Py3q/fc0KRRkJG31c0tuNweV1Uv//x3HnBWgaxWFsM5EvUG5YszcNSzcNSQzSSMFZTMBEz7HJ4HqcbhYTYX1w+Gw9eMQepCaF3iCJhCycOxYPL5uCe94lKKVtE0r2giIghRINiaVaykza4HMjOTsLYvCzo/YL0pS1XA3uuCO6DEl6iZ4nj4OT9+Mvy79EbM2g1uGjCCDZ2kl+HPkr3nl7FT7Yejuvcivc3jsoPix5kuVGg2pWigcci8PUV9+U4TJsxJPj7/dfMDt824rwe4s7HMVaczqgSKub29MJwHHKGZiAl1YyMzEScd/44vPbO7ZhzTu/kJwlIP/Tsl/h6Wzi4JzteVo87Hv0E7V3RGCw7MxGXXDwB+ohcjEkT+uPV52/Akf1nosA9mXQ5r73wDfbtKENFaWPMQm9uiwabz9Rj8bUvYOFV/8R9v/8Eew6e6dV1nbWfCMBPTk5mlbZ+//vfs2JXdrvM3SGzZcuWwWw+y9ciuyDnnJhFqKQXjCQzQxiAg5NVWo0/W3c4TMFjUPVbudGhMrULMTnlClyx/SW8Vb4FZ2zNaHR1YkdLKZ4+vgljEqbgkeG34LK+5+CKvAX4y+i78dakR5BjDA9fR4L8h0Zcii9n/RajUx0YktSCgoQOmLVi8RGxzdlmKxJ1wmwpAO34A2NIFz78Ktw+LePTS0b9uLf9GBqcLRiRkoXXZl0Oo0YY1DQyHgmdk1Q+mivT0FKVioaKVDTVmvHHA6uC21w2dFR0/IJV6Axdh6KRl8nigVYXCJME1eoDMGY4wMVJQKbHQBUjAZYWOK0OB17bvz/qb6c725Bk0YXzBn6s51W2f2l3M67f/jbKu0MFqCSz+mmhEf9klw4IDxf3ZHePmYJz8gYK7RPlDmMZRVMmZ/TFzWtW4jebNwpebUaWFQoQMRlGr/hR4LTXdMcvu37DuMIePfBmlwabisrC6EVEOSNwpXbFyB+QjAcm5/TF51dfjcFpaUEgCQMHR47gZJWeHendTzQb8OYDl+Ouc6aEtheNqkpoHRxuGDkOD82ZFaRAhfAfF647H9EW2pDUe6RLITCrUVgX0DmpsNyV40dhcEYaA6AGM3F1Yx9aAtyxjIA19aPc5o8dhKxEC3QBDhqixXgUHjfpGZaBfEG9SuT5i4vXvVW1mPKXV3DT2yvY/YlndH0nqqITL+keBQFrvP0ZN5+Dro1nevdK+9C/GW9fKddFpEYR+CQv/oanb8f7v78Gb/36Cmx85g48fst5+MvaLcJzFrmzlJcgw6RMolVcvNN/9R3dOFrfBA9JXzKfAAefWQbsI4ye7Y1HStHSJTgWiD5Fn3i2/VRFWHui2sgBLVYHq+UQy4aM7svGACWjbzVdpL8q9AAV5rLlqmHrq4U9T4/ugUa0jzTBmaYJp3jR/6isiAVMnpRsVuFAPPmzC5CSKMyXVK027PrjeeVlDeqd4wco4rtRNUiFqTeNx533L0DZsWr8ctlruG7OX3HvJS/gy/d3wmFXzpXZX1yF/UViUT+Fd4jA/YpNwkKZrLnVihXrD+Hae97G+5/vZgXEKBlGiDRzOF7awAD72lWHepT//Gpt6Lhyo71c2SZ4Ug1hEYyiU3X49eMr8cWG6CjUf7zxcT7/lzn4W7duZZ8tW7bgpZdegsvlQmFhIebOnYs5c+Zg8eLF//Ut/YnbmORhuCbvQnxSs5Z58iWwL73DbU4TAhHrLabC0gP6cMvdfArbOnxq/PzAh0wBR77A4KmkFQesqj0ItUqN34+6uMdrcPm8+KTsKD4qPcxkEfundSMnzSYk3PqJEy94zKXxmlGHjDZ0e4zsO406AB/TnFdIBGOFOWL54nnY3XpYDOHUjKOdJcgxZmBe7iDsvuh+rKk6ji0NpdjVehIatR/WRgs8kmdeNLdTi6NlPrzXZx9uHDEZmSYzHpk+D3/aSUnQocmBqC0qorZEvuwcDzWTxPRCawwv9hWcO1U8DKlOOFuEqsFRxurNxKZnEMj//HgxHp49h3nzdtZX4cl9W1DcJgISyiGkUxOoiPWIMJepoP6iZJwsMZimAk/Ah5dObcY/J18V/P5UVyPq3W3gOK3oaYumctE1DzWlo8vpQlIP4X25F/+N+ZdgbcVJfHDyMIqamxQBGYF7jV+FnVU1oXsjUgAYKOhFsGRbZSWrijwmKxtzC/qz/pQbJS8/MGUant+7O/LS2LkyNSZYawkkKPQjBXw8wkcAcgoN4ID7Jk1Bv+QUrL/ueqZ8dLC+jiWdz8jPR5bBjNW7j6OosoG1beqwfCyZNBxGvRbD87MwJDsd7+w4gKJa4d4PzkrHTTMnYOm44UF6CdGXvq0+A02iioEpAp6s7DxbPYSuhRZ7ug7i9IfnZJCH15soAkSiWgCYWNAHz128BBmWkIPmVG0zbnz+MyZLKQcf0tHyc1JYDYZ4RlWW5abVqPHKvZfgjhdXoMPqFO4pvR+y1za4eCHsSn9jtRbC+zh0fD9ONraAOarjPBv0/mlI9jHCuuxihCyO0XEZP59VaBbaIvDPQycklRV6JpToHES/WVQ4NKofRvbLDv57T3k1atvjySxJ1yGjf9N74RVGlYCKZ8XJ2Ayv56Dy8Yw6Es/onlKOQlFxHYrK6tl3Iwfl4NrFE3DOpOjCVbSI6GlxS+OTTiP0M40h1EVSUTGytKwkzDpvNHZsLA7yveWm63IhITcJrX4vbDnU0RGnoAqyffWs8JSxRXQwqYCufD3e3LgPn+8owuu/vByD+qRj/uQhmFM4EHuKq1Be1oSPn/s2OL6rfD1z0JgccUCD9p4cVUTLoyrBXj/e/Xofdry0A9aaLjZm8Yzm0o03nlqHNR/twjMf3Im0zHA++1fbTjA1Ks4VSiqmyAGLHoga/es2F+PGpZPx9ze+xcYtJ9i9U7l90Fp9UHtEbMFyxVSwB3j88S+rYO3uoaYHx6GtXTly7EvQIWCk/g+/AdKC4Z9vfofpEwciO7N3FKSz9j9jHN8TObwH8/v92L9/P1577TV89NFHTK+Vvvsp2b9b+viHGFWd3dCwBce6StHtdbJEVZtHL9O1D5nVqQMfzyUGHkatF/1ShUm12W6G0xfydJPs2fiUAhxoJ09L+G0Ovqfi5H/v4IW4fsAM7Gk7gjP2amg4DSamjsYQS38GJOxeD5Zt+gTH2gQqh17rwYR+1VBJGV8yJEFFuEJUI+BYa46QXcADTtLjZzOPsC2BOAKY5CzyeZVVIGjbjARSxwin/Nwx4AqcnzsHx9ubUNzWyICjAx14+fR6dDZZ4LTKCcGR/abF4ZvvZaoxZOvKT+Fve7aj2irXvhc+hZm5aO62o8HbAXW6i83qGlHvPp5ymKvNAD+RYiONvM5MdjG+1+jwXffgcGs9bt60UkiajeQnkLHEyxj406ZWUNERdtQV2IKa/fIJbM+S38CiFYD68spD+OPhtey+edwa8MH7JpyQJD61lMB8xogAp0J2pgWF+X1w+ZDRmJFT0GtZNfIU/uPgTvyr6ABc/hAA7GemxFaZ4k70ZYgtiW1E2aB2UCGuHEsCXj1/KQP7kfZVeSneOLg/SOmhSJCXD8DQQN7ZOPdKlNp0ZRPXOdr78/jc+bhu9Dj8u+b2ChVEJc+vZNTeG9auRLfbFUyulkzlBNQe8vgLAJQ8uUrXQbt4kgCfTJab1Js23nZj1LakJf/Mqi04eDpEbxmQlYoHLpzJKv5+vOtITGoMPV+j+mbhk/uuifobVcxdu/cEvjtShm4qFe/oZsXN2EKCgDS9M+K2AnCOc+Mp+d0BVnE3nn35p5uQnxXO8W7ptmH+n96MD+FkSjaSGVsCwsJDXEh5EjixjVxUH2g1Knz+2+tRkBmbX/7RzsP469otPbJBWCQhSG/ihfussKhnNKZelBkh9R+tT5C2ZccXAeUNF0zCvVfOCtt23IP/7LHeRqrFhOeXnY9PvtyP3YcqGIgf2C8DV5xfiMXzRrHjWzsdeOja11BZ1hjMVWYLUgDpA9Mx+poJ+HL/CThocRjznvOwVLrgN2ngSdaAJ9672P70JDO++NON7J7Swlkalz7/cBfeevk7oX80HLoGGmMO6LQoG5SRiubtNXAla+GnxZLCtrRwpKJRXlEOM/FkN0x1LsVmU0LzyAkFePq9O2SXweOKO95AS31XWI6A1Ms+s4pdG7Vn1qgB2HlAUGFSufzQt7vZdbjTtPCZKMGXpHh9TMHHm6iD3u6PnwtIeUsWNYz19qj2OvpawFPUI0b/UD9fd9kU3H5t+DPyn4jXusX9B/zhSagN0U4pv8uFM4///n8ED/7HquicOnWKefAlTz5VrL3wwguZB/+sxbaRSUPYJ8AHcNm2f6DL1REO3ILGI0mUzYwHYRINrqDmPCW8yo0SR0n5hsCKjw/JG4aZ+N3LZd9gU/N6eGFnCjV0/i/qNjKA/9thd+G5I3tQ1N4otpTHqL714vGicwOIk0+JUpQXIH0reZqMOg8D+MSe5HkNxqcMxoHmBlhZxeNY18nBpItOrDze1oXXD7+HY22N4dQCnQmumOBeOB5VW/zqdBkuGTqCfTM6I5slfoappIjY+Eh7AwamJUFNtd1DtNW4xjxVej/8noiFGxW6osy2HowSgvVqNX67Y6Pg+Yq+BKFTaTInoC5rDyWxDjVmYm87eYpDk7UkwaHNklOIQjvSdh0eRxDgS3Qnula9wSdo+1PxKDagC6sfn0cNf6ZAkq4OdKK6sgtfVp3A0GSKrAzEkZZ61heTs/ti2bBxyDFHJw+T5/rXk2bhrrGTsau+mkWKBqek44+bv0MNZ1UGEUGXfi9yOsT9m+w2XPvFcmxYdgOrCiy3xYOGsM/hhnpc/cXnQaWeuOBebAd5zM1VgDuNKkKKSj5+YFRSFsan0+L23zcltRtK9r1h7QpYPZ5QV8gQQcAoFqayiXkJpCtvFirPsnb7wMA/LQQivd0ErpVsSG46blk0GZOqGlly5OwR/TGmQEjSzs9MwQcix17J6D5eO0N5sZNg1GPZ3PHsQ9Zpd+LDXYfx0e4j6HYIVAYJ8Ciq7ESeSw/wdF0xwMisUf2jwD1ZRqIFM4f3w66SKuWFSmSuAIErL6CRVcelc6q7eAQytXAF/Oz5pu/8Xj8MPhVG9cnEO5/vxrwpgzGjcCA0Cso1Jh05d/DDLcbAxCI6cne/ktG1+MKVriQP7fvr9mPamH4oHCZUQSbLSUlAXXt3nOMBuRYL7n34U3BaDi4LPXsqHHW2ofijTdh8sBx/+9XFrEjTc8vvw7erDuCrz/ahtbELqRkJyJ87CKtLTuPU1mPw6mIXBBOvEPZ8Y9RzzHsDaK/rxvxbXmL3JzXJhEsXjsOy8yfiyuumIzM7CR+9vQ1VFa0wtHnhStcpPi9UD0DbJMy1uk4v3Kk6BChMJEmoiT9VngC82cKYz3kDTIqTi6P0c2xfBSpLG9FviOB02LyjhIF74YrkVyfcPo0jAK9FhWSLCdv3iwpMPA9dpxuuVA1sBYawHV3pWqhdfiRUupHXPx21xMGXJeBG3i9vkgYqtw76Nk94LkkccC89J2eqwouL/ccbH2MO+b9O0cnOzmaA/pxzzmG0HOLijx79w3i4/9eNQvR/K7wWd+19Ezaf6H1jJvxGOvd55g7sbygQ9bej6RHkKU/UuxhFptNtQKrBwTznAZ6Dy6fDEMsgZOpDgCpO0UR2vCYnj1QjgaJQBKbcVolfHHkMWrRgyQg/7B4dmmwJMOriFWnhGchX8X64RDBLiahs4lP7kap3wqgV9r9n2BXYmdQPzxdvj/Fe8dCq/bAY3OE1AQIqvHLkeFQWG01OLockbh59LGYs0slha00FLh4iUB1eP7qfeY+VupqOWeFpgoakCn/A268y+ISkT/rQ+Kj1w0+ecJ0fKq82rtd56dBhONBchwZ7nERl8dJ/MXKWcHw1LVSyMLNPPwbOvy4rw3uHD6O4uRm8ygc+zQaVMbTQE7CvQBZi7eU4pOhChcamZQ4IRljY31VUAVEIs3vdagT8QsVkVqhKWhiRemiAw6nWVvaRbF9TLV49tg8vz1uKc/uFqmNGVtaV/+1YU2PPFXnlnnwFRhUz8gCLtChnwIs3Dx3An+fNVzzcKwf3sYWxdF5Ge4gXvRdP6E6j6qWAhjj5opW2tOLK9z7FW1dfgmn9frz+dSxbfuo4q5WgeM0iIvCZhPtLXm83FaqUvS7EYSfPvcoQzp2n529kFpXkjeZc/3HFN2jpDuVcvbfzEG4/ZzLuOGcyBmSm4tfnz8Yz67eFLSylHlk8diiWjFWWf420ZLMRWemJaOfc4IglpJVyBZSoYtHXLiny0L0LLgzEn6P7ZePPN58Xc/dfXTgby858AqdHjCBIJnmWRb69MFZw8Ot4FI7Nw5GiWgbacjKTcNni8bho4WjsL6vFrpNVKDnVgFMnGsCp/Iy3fFxVj407T2JgXjpe+P3lSE0Oz1WbPZzoZFRrJDYYC/vZg0m5GSS1GmsS0JACVYz3jdqy/JsjQYBPgO6iiSPx6qZdwfFD4aSoPNKIgAFwpofzGOl5/Ka2An/94Bs8fOMiFiE9BTdqh1rgHWiCPsWML06Wh8bjXkQDI7XzOR8PjVNySQk/ib/+9srd2H6wHK/88SrMXTASc+aPQGuLFVarE6v3nMSXO4rgECUkyYbmZ+Lhmxfizw98KhyX8t3aPExG029SC88Z1Xpw+ATNBE5YJBBdpjeKLMUHK4MA/9OV+6KkeGXdyb6nVLvctCRY2x1MgYroRSTdaesneqMj+oraaS3QY/CwXNRVEeUyXNZa6B9ShlKxyIQjz8woXboub+jx6uG1o0WQXn9Wdf3/G4B/8uRJVFdXs09tbS369+8PiyV+6eWzFm6DE3LwycwH8HrZOnzdcJSBYoPai2xjNzKYAo0K47Jqcay5D6tIyyoNMvDMw6DmMLtPIkYnj8Pqut1IMTjDnAl6jRO8ug5DkkbDVyMW7Ig7RnJwM358uBG46/I5kaolqgNg1nmQk9QNd0BQ74l1LBoPjrdlIkDefFaFUwSH4NDmNiGRdyNR50anpxt3Dp+Oo+0N2FxfHuVxJnWe/LT2MFBKC5g2hwk6rQ8elogsMwYyY4B7yfMn0l2+PHMCJzua8drCi7Cq9LhC5dbQvuSNl/9V2jRWHwj3gYNKLGglJBALHGImX6n3g3NHE+jp+vUaDe6eNBl7W6hOQc/2ws7dQSrO0Ix06OZrmM794iFD2KfL48CVW19HHekxR7SXKOlMg5pTYWHuiKD3nizbmIglfUdiQ+3xsCiTBO4Fmk5EY8izH1wfhi+8eN6Pe75fjY2X3oxByULCaTyTJ5fGNDYzASaDFvdNmYKNp8sZp589Q1Rd0sExL3xwcyePj/cdxaicDFw5bEzYoYjm8l3F6bD7TLQV0jWPp9NP0pBKKrD0PNE9/9WXX2Hr/bez+hD/jrm8XqYktK2iEt6AH8e7muPjOzERlTz37lRxcIgOuLFCXsQZl7f7usJwT/u+0zW4953VUSF+4vy/uHEXo1nds3Aabpo9Af0zUvCvrQdwsEKg8RRkpOCGmeNxxeQxYfzreEY0nce/FlRd2Bl1FKziWQ5B3OJk4g4M2OsEERaWdMyqSAN9s5Lx1q+ujMrFkNuArDR8eP/VeGrVFuwtD38HJd59sP90wIj8HLxw3xWsbwjgU3SQqn/qtVrMHjUAHqsHq784FOYRl35W1rXh13//Em89viyM0pZmMWFUViZLlI2V2yGnLQnfxUmwFuk8dFp6JoIeZ3G8NdCgZIvttKGFxsmKJljtLny4dj++/O4Yum0ukDvAr+fhsYgccZmNycxEZX0j7FliX0fqxlOu0aHjGJiXgRc+2cr6hM5DPdMsJvsGKTu9sPDCWCFwH9l9dL1lVS0M6N937RzW76R2Q59fDMzCPVfOxMFTNSxZtV9OKgbnCYvdnD4pbCFA7aRjko6+XEufTT1GGlB7KKEe2W6xXzxeH0rKYqt+SWbWaKA3auAwc0JyMKdGQC06jJTGTFZ1Vw1tuhGP/+0qPPnYKtisLiZzyfo7wDNKjyNbHxwjbAMsUDv80Le5ofbzyE9PRG2nLWaSLn0/a4qy4+Y/1vizHnxFO3LkCDo7O7Ft2zZG0fnDH/6A48ePY8yYMZg3bx6eeuqpXvXvX//6V3zxxReM7mM0Gpkyz9NPP42hQ0MJSDRo/ulPf8Ibb7yBjo4OTJkyBS+//DJGjhwZ3MbtduNXv/oVPvnkEzidTsyfPx+vvPIK+vYVCjv9J1umIQn3DlmErsDX8AW8YUCWZqVMow3n5NehMPEGlHZ1Mu8aeVYX5A5j8oGfVH0FlcoZFn2Vfra6O7GzbQcy9Ba0uHuSrCSQF/3yEme+uduM465sBtJTTQ70T20T+dvxBzGPXytUivVzTCdfz4UAZrfHwCIQqbpkptbx+szLmZ79R6cPobi9nhWf0mu9SLHYodGQR1UAzA6vFnavDk6vFjqDDz6/RgCbEl2Fab4LHnPxskS3h6xhsmaXd7bhyrWfwumLRxEK9SlRVHwOHdQaP3Rmr3JPiqwQ2pZNoKKyhd9FetM8o8dwlKDbrQWc4XyDfsnJeO68JRiQmoqS7l6GPGUeZvIa3/LZKrx++UWYO7A/++5f5TvQ6OqKGvvlz4tepcF9w+ZGHfqx8Rei2WXDvtZK9ux5/XRdypqJwUg1VfmlmgKR/SJ60t4/eRh/nragx8uald8PmyvPxF54sZAQwGk43FRYiDsnTMaOyiphEqJESKKmROxKQF3l4fH71d/ArNXh/IEhj3KnSx5JE8xr4YXjsEk9+vlIt5hQzxHJXbmJBCZa7A5sLa/A/CGCctCPsbLWNtywfAUrciZo6vPw6XuohUBGr0RCbwCHWDQLwM0TxmNafoiKQfaPDdvFrZTtze/3Ydn0cczzPmf4APbx+HwMQMQrdBTL1haXsGReuZFSjbET8Lp4uLLi06aY9CbbSUzKFf9JCcnxwH1pcysO1RL9kMMfrlrAVIuoQu6Tq7egzWpnuUJkNKxRjm6SyYinrxaiAduLK/D2V/twrELIU0pLMOGquePw3eaTMb2y1D8nTjfiWEkdxg4LzVetXXaUnWyCyijQjaKeY1poyN57eh6o/kO8aBN5583Uf9oALFlmmBP0jGZz6dTR+GD5HpyGIN2pZMLwyuOm33+IxtbuMKBHykeqNh6uFGorh1SLETefMwnHd1WiRAoIxgCe1CnPrNwCtU8A9uyoYqqPtAf7yZLGe6IYhX6V7j/bmt5dWvAxtSUxghDg2SLlzqtmsgTnSDrc9NHC2Cm3Cy4uxNFDVTFPT0f2WTQsj4EiY95ETc8RQFoITY4+V7xzDB6agz019YKKEo0F7IJ7UvPiUeewYdLUgfhs9c+xbctJVJ5pQdEZSvpvhCdiccYWBWZaRAg+4N/cMhtP/mOD8nNM1C6VCmfONGPyuH5IsPRObOGs/ffbj46pkFTm0qVLMXPmTMyYMQOrV6/Gxx9/jAMHDvQa4NPi4N5778WkSZPg8/nw8MMPY9GiRThx4kRQXvNvf/sb/vGPf+Ddd9/FkCFD8MQTT2DhwoUoKSlBglgM6Oc//znWrl2LTz/9FGlpafjlL3+JCy64AAcPHoRaQSnhP80+qn6ZeTeVCuORDUvoj5sGzY7azxvwYW39lpiTLqnmlNuqcWXBBXi5dFsPFB3SPA8HrO12I6paU6UWsf83WhNZpGFwZkvM4wgUGrUA7sX9KEdAFeChC3K/edi8RoxKEhZzNOku7TeSfartLbhs23Pse6IauUkfTebJEZRxaOQETBYXnDY9/E4NoAAqg02nfRX+TOCRuPcmrRaOmHJuHHjyAnM8PN3krgUCXhVUmgC0BkpcCitkyP7utmrBqangkxE3DZ2AfxzeyWYYOo7AgOKhMvnB0SLBpQHXpWEyj3+YNRejxdoR/SwpgkpHHE8lUz2RJdWxLuJ5/PHrb7HlntvYNyuqDsalulDbl+aPxoCEEC2jzeFAu9PJkjonJwzF8WqbUJxKQxqfotRKjGMJdA/lBSD193fV5WEAn9p2oKEOTTYb0k0mTM7ty56H28dPZB515UsXACmdKlljgKPehemPvAKbywMTTU4GQS9bSYKP9qPk08e3bsaSAUPR6LCi3mGFQaVhixj5goJAkbOfH4Z6NZPEDFaPpfyDRB5cphqI/SoE6Q2lLW0/GuAfqq/HjctXwsnyVEIcaUa5iOPJpmuZ3LcvrCYXSlpigzfm+QUwKC0Vd02djKUjhoV5k2vaOlFcEy0pKTefP4BvispwxdRQVESn+fEh++r2TvYMUHI0e6VUgFrE+xrKK+jm4U2UcaDlFBqvuMiO7Boe6LQ6sflwOeaNHxR2vsZuKx788ivsrxGTh8UdyfmQZ05EWrIJCWY98yzTM5Zo1OPSiaNww6xCZCVZ8OmWI/jbZ5vDok5tVgdeXbcL8PAg5d1YrzElW+48XBEG8DfuK2E3V2fnEaBKxrKUIkZFQcTvjP/Ni8WmlM+UoNVh2vg8XDR/DKaO7Rd+jyvbUFHfHjVOsAAZvUs6oKm9W0zUVsg34oB0tw7/+PWlTP2Jqt4+sr8WPkMPCUuUAK+KGJqD/CdZH/mENsScxCL6l1W6JZqJzS/0izRc6jh4LWpBfcfpQWuHTbFolJLNmjschZOP4NA+UR40qp9UjOZCbaXoCvHW7X2MsJAKl8LwS5Vtx00diLwBmezfxPMfMjALZWeaYybD0rclXVSwK6IfegwYcNCZxEr3eg0WnCtQqj/86gD2ft7cY5jknc9246F7z8U/Xv8WHo9IZZW9YLwngI+X78WW7SV4+e/XIjkpRPX8TzXu/0Chqx81Aq9atYol1tKHPPcEqmfNmoXnnnuOefB7a19//XXYv9955x1kZmYyYD579mz2kP/zn/9kwP/SSy9l27z33nuseBYtJu68806W6fyvf/0LH3zwARYsEEDDhx9+iLy8PHz77bc499xz8Z9sVfYynLGfirtNua0YXd52JGklsC3YgfYSWH3xi44Rh/rjqs3BqrLK46NAhTEHC2WRaoc6CtwLW3JotZvRz9/G+P6xxu4WJy3Qwv/o9amhDe7DwRsA6pztKDALA5xkeaZ05BhSUe9qD01k5AEPkBqKWuB9yzzGOr0XTmsML2EvIqUsRK3VwBUh/yc3v0MjgCkZSd9t1cPn9kNr9EJFEQ1a2Dg18Dm0QiKgD2hze/HRiWJwAdJqlh+bY4sEmmTV3epg9dXnd+7CnAH9WTt+tmEt08v36xRcQOLgqraTPCkX9acGqw17q2pYQp/VG1/6j47g9AvgsaipCX/ftQM7qqpCNF81jwBRjWhNFcGrVrKYXHjRCLRJ9n3lGTy69TvUWkPJellmMx6ZORcXDB6GJ+YtxCObv5FRjmXZKuoA+hvT4K304IvTxUG+Mi2U1E7S/6bJPKygsqyPeLQ1OrF45Ts45Qzp/yelGWDt8oEXJVJ5Q4BRPZz9/UypQkUSkxSUMvOM6lDpboeWCOJxjO6lSSFJticjytDPNqzH9soqReoFA/hxDksLlVvGFeJ3azbFlWWV7MNrrkCaKXpi7rD3IEfDqF4qtPdiOyU7WtnAqtruLq1ilKbCAbmwpBiF/BCpyJYoR0lGV0Fa/moPD0+iTB2GvNi0EKfHSyx+xWpOyDXqvcBDr6/DG7+8HOMHC4Da6nJj2Qefo747QvaRE6oon+4mXhBgoEfUB4zOy8Lb91wBk1jFs6G9G3//fAv7PQogs8xIAaBrlGXP2Sm9EdGK5k6boGDj59l6mhKhg8ekDxW5ooqxVAhbDAIumTYcm/aURLWDFpjJFiPe/+01yElVVgW5ZN4YvLdmL6uAygAOUwTiWFK2VORMCdzLr9PucKO50Yox/XPZdySbuD5ygS5SZ9Qk1c4BPiPRTCI6Q3adQS8+BWE9wqJdvg0lKBOf3+8KhEUyVV4ehnZRxlh2aAL7+nYf3Cka8FpOMXk9lqk1Ktzz68W44dY3wvj1dB3eBEG9R/Ko07OpNetw5T3z0LC2FId3lTOHD7ufYgSub/90/PpvV4ad46pLJ+HxZ9Ypnp85K5I06LDK5ny2fpJVyY7jeBnSNwMtnTZWydneZkd7kw2ZGj1TPoxd4EKIftTXd+LT1Qew4s07ccO9b6OzmyjB4rMiLq4oKlLf2ImX3vgej/z6gl7361n7DwP4BKwJgN9+++0syXbUqFH/JY0hsE6WmioAy4qKCjQ2NjKvvmR6vZ4p9ezatYu1gxYDlPAr3yY3N5e1ibZRAvhE6aGPXDbpf8NqHGfwSvkTPW5Hk3OtowJJSSGA/1XdMTxW9Ckye6gjRv4vL9U2Z7daTDiKSEyklzPLbA2L4rfapHyK6BefePWnGrMwMrdBeLll3mv6vcttYLr+4SYMfJFeNXcg2mtOA9aNA2fjyeOrGTXHy4pCKbsq6XyUuBrfRGQeh1VEg25eYiIrjBSaHEMbLxswER+UHok6LslgBqUwpQuUqdrQjyaHLQbgpYGZC3rh6FqPtjbiVzs2oNraiXK3SNGhuV/u4pKO7eKgoqquMay2qxsT8/uIKkrxYvcckrRGHKyvx7UrlzM+dVh7qVqlQwU+wQeVliIW8QjQ8Z1B5FWemCUAK6Lf3LYuVHRMsia7HT/buJ7dh3n9+iMhQYtup0eMfIj9S9QcDsxzb6WCMQpUHF7UK/dFC/cIYNfPo7ysE1wGB57oLjQWUMK7ia5XA54OK4s2U7JgwBAB4LSkDKVhCZmxOwQ/2HtPk+fta1bjUEO9kLis0OO0kOG8wkJDvChmEq/65jHjsaDfQPyePV9x7hcosqZGqlG5InFmYs+5VfTM5CQrdHQPtmJ3ER5f/i0Ds9ICbcepSoEbbAR42TDkMwlgVkpy1dqFj1/LwymmdLCxSH6pRIkWPcBsrKKfKuDNdXvxyi+E5/DzI8Wo6+oO4cOIrqLkXn27ELgiKz3VhIUPvY4nb1mMOWMH4sudxYpe55BRIi4BfD5m9GNov3AnR1qiKSbfmV0ieYhpXyN5gjlWlfnRZQtx5YwxeHXtbuwvEXIHtGoVFk8ehruXTkdWSuz7c6i4GgGnH1rxHaNjC+Be8MCTN7wnXwmB7dM1rVgwTYjKzp8xFH9d8T26af4hR4abh6nZzxZcwRG2A/Dq6TrIjS/zDCjUMZBAPv1CQ9Avr5mLS2aOhlrNodXqwLHyeqzffRLlta3w1Hey+xn1zojXprP60a8wNyq5OfIdPFbZgPL6NiavOWN4P2HRl6KFh9RmvGI+hahPL19QnTN+MP5wx3ns90/MRuxL9aDNIRTtyvCpceW0Mbj+mplRVWfnzxmOkvJGfL7qQFiSNS1GXMlqVt9AphUhTGuU40aR4ThkBXq/vttbipeX7wwVauz0wtTkQbpaDWuKGu7kCEeFOKGrXQFGTauoacO6TcfQ1eGImQJDz+z320/hvjvO+Ul48f9/tx8F8Juboyte/rtGL9ODDz7IKD/SgoHAPRl57OVG/66qqgpuo9PpkJKSErWNtL8S9594/f+b5vTZ8drpv8DDR8s/KpmKSVcKVtbdiIePrGCFsXqTz+MJcqajZyEJlCdp9XAHXMFkSpsrlhKNYN1uI4rqcnHlkBw0esth8zpg9XFocZoYwO+N65zO/UbJDjw08jxkGsM9S5fmTUK5tQmfVu7tseAyo8/0aLFnYEH2kkO9o1sYQNlBhQam6k24t3AqFg8YjPdLIgF+5IFEYB/hhYpvPPwpPvBE/2A6ojxWVRQLNBG6BXpxMidgIqcisFPJChkpWKrJyGoDLMwdiU31lESsDPLp+/NyR+HBtZQHElKQCV6WeBJKClYn+eFzxR42JCWdWPefruumkYVCbs32zXH76M/bt2DJsMGw+TzgNYTWIzZwAt3tJEOnfC52K0QN9UhPtxCIEa5L3aaFL8cjJKWKO6rMAfjiLJ7kJ8lJS8CZBuUCT3SE7JQEvLJ/H5YMGYLp+fm9Sh7eW1eL/fUhrflYe1ACMfUleUH1OjW7d+OycnDL2EKcN2Awe66HZ2Vgd0VtTHoD9d+wrIwgZYM8fFVNHYybPCAnFdnJCZg2OB/7ymti5kMQz37B6B+WZHemqQ2Pr/hWoDfIwKz0O+nYk3c+6KHnODiyeFiEGkxBIyAq0VQULk5IaicpS3fI07j3ZDWsDhcSTAZ8cey4oFSmgFo0VsDYFv2MksrKg6+uwfP3XozT9W096otDLdG7Iv7EcUgw6TFvSnghqXMnDcWLK3fEPCR7zbQCuLcYdHj11kuYN3rcoD54/ReXMy+v1eFmGvAETil5c+Pm4zhQUYcW3gWzUY8FYwfjwonDsWNfOf78wobI4AXzrod90YPRs6fXhV40vV6Lv919Ie5680smH2luFFeqIvVNWlExypXTD5U7wBSEndl0YYJDSCraHdY2HvjtdfNx+byxwe9yUxKROykR500ahrKyRtx517sxmywskHicNyW82Fi3w4WvD5egod3K8ke2F51BdUuoLgotlq6YOQYWkx42h1uQyVTqhwCPRVOHMYB+78urcLC8VuZh59Cu5/HaoaMYWJiHeWMHRT0P9952DqZNGogv1h5C2ekmqLVq1HLE06IEqPBniPUN69YIICAt9sU6BgEPj5IaGZdQxcGdooXXokHSaQeMjcSB4uFODQf5JMvJFsfCI4yvNhWFzsc6UoGG6Q+gsroV40b/1yuH/ZcafzbJNqZRMasvv/ySqemwSWT4cFx00UU/mvN+33334dixY9ixI3pQiyyYw0JDPUyS8bb53e9+xxYTcg8+UXr+J21fx1Y4/I5eQUAtp0N/c2gC+Lhyj3BtPMcqw+o05HZRulYeXr8anjDddSWPPHC40Yw0k4ol0ZJ+fW8ETFSw4JHRd7PftzSdwgP7P4qztTAwySk3xKXfVH8KB9tq8Nns28NAPl3fQyMuQH9zFh4/tj5uO0ilp2eLvQ21pdVpD9+CQJ6KQ1aCGctGjBGKiYQp/CifQ2vwQc0oNYJGvM/TmwRDDrwp5JkJgiips8hrST8jCtgQ6I1FvUjQ6zGzfwH7/fbBs/BdA1U7jO4F2jdFZ8bvdm5AZWc8uhe5rtTgfCqotQH4vSJvImI1E77ekP9d+P2hibMxKasvNp4pQ1VXZ9xeaXM68PmJIoTrF4lGCjkuIqD1/KAqUVkY0GNpHAKlg3OpwBtDCyAfArh32jS8fJwWmPFt2oA8XD58FP6+WRi76DlhCjr0UQP1LitWHD+Oz4qKMD4nB29dfDGSZd5yeqa2VVdidx15XXlMyumLzWcqQpEXiWoe8/o4NgkPsaThhinjWfLwjL6hQmPXjR+HvSdrBFqHFMhjN0oA/JyHxy9nz2DFpl76cifW7CpmVTjJMpMtuOncSfjl+bNw3cufgY9BY/vNhXNg+oHJtJ/vPBbsKyVj7BYnIBfK8iRzrDKnicRlxPwU4oj3lHzJxp6I09hdXgbw2+3icx95CB4wdMSInojd9/flWzCqf3bc65C2Z44E2TtIAJCoTX/5+YVhwJgsKzUB1587Ae99fUD5eBxQUJCKCycPx6WTRrGCUnJLSTCxT/GJWjz7/EZUyDTKKQrizFBjf3kN3ti4B6oKl/LlM+qP8C3RgeTREyUjIDmzcAAcbg8MWi0bP6eN7o8/XbMQT730tahuFADnFmgfQrRFjOxK9CsqBGYPwJsgDHoS11veszedPzkM3EdabW38asrymgeSfbr9CJ5dvY1RpeieUEQq9J6INCp/AJ9sPYLhuWlwnG5VfA/omklrf2bhQLz3zQEcLK+LimjSApaO9/t3vsKmv97BakBEWuHYAvYh+3jTIfzzM+WiZ9J4S1MgC4bTmKYRhB2of6cMzcehk7VMdStqd7HasiNTB0u9G4YWD3wGDRVAYXVsqEJ3kN5ElX49POrt7cJ1SvhYpexh1P4ISuJZ+6+3H3UXysvLsWTJEtTV1THFG5rISktLGUhev349Bg78YeHon/3sZ1izZg1T5ZEr35AcJxl54nNycsIiCJJXn7bxeDxMYUfuxadtSJVHyYjmQ5//TTvZTd7gnoEpAZCZ6YtgUIcG8F0tZczrSio0fc1d6PQa4KE3VT4isZeQh8sX/xYL3HZKZlMzfftmm4XpznsD2rhRZ3qn5+eGFEhmZQ5BrjGZqbXEAsF0XIk3z7T6vVqqYYs2tw0vnPoeT4y/OPzaOQ6XFUzEP09+K/LIlacWrckLj00flxaSbU5gHvpogCtqZivsR9dxsr0FK0qLcf2I8ViQNwDf1ZcjIIprC0oxQptIVceY7AzDGVq9H7Z2TTBnILZFAPoYXkj4IqAGtZtur4KYz4OzpzO5TbJMfRISA2loDjQzWUy5xCf1f7vHimYrUdZ6DqnyPg5qk6AVyEB+iBwfog4xYOAXIiuyelpaLTAhKxdXbfgEe2proFIix0cYq2wbtplE+KSIRy+zoSL6NXIvtkjycowSIhmrCWAxIlNtRrPPHpvbygMPTJmBZKMBS0cNw6qiE9hZUY1dtdUCQJKCT6JX+lhjI362bh0+uOIK9u+Kzg7csn4V+ynJaL5++ABMGi38UufR18KaUbEd7PFSA8e7W/Cbbzax76hI2q2FE/CLadMxOCkNxlZh0vebSO9aAGwqL4Ep4ScB6dufXY7y+tYwaghxwSl59PoFE/DhvVfhiVXf40iVoBJDlpucgAcWz8T543unby+3QxX1sXXexUslacdIc6dycCfz0FmBQYmpON3ZE6DjGUXGnSy8LxTRSXBokCyqfeQkJaLNISiRyU3t7FkBpbqpE5fOHI0N+2LnURGQnzduEAr75GDlpiOobepkgJ6oLFRwaUBeuuJ+910yk3nf3/vqAJyeUEdQVOWPNy3C6AHxi6idKm3AL37zKStIJjeiyJgb/ezauh126Im/rmDyxQhLhjURtUX5ftH7kp6ZgOue+5RJp1J+wkXTRuLmBZNw0dSReOnZTfC5PNCQVK88SEpglIookfOCBiQ1xzz6xIfymmQ8R7IAj5Gp6Wgta8ejT67GqBF9cN78UUhICFdtMZp6UbKX5CbF7dYfOIm/rhSiiWQM3MvPKzVW/HGioxXj+2ei5IyQeC5fsOl0Gjz14EWsPz7deiRusixVp96w7ySumhO/0vX3B0vj0h6Da3X6RwD43RXzcOGMkSxJfc3O49h3NLbyD/U5efLNDW5B37/Ly6oBh23ip5yJUPZTGAOOpT6Eg/ykRCOGDgpnXfwnGnc2yVbZ7r//fgbi9+zZE+TLt7W14brrrmN/I5DfG6OHn8C9lLRLWvpyo38TgP/mm28wfrxQ4ZDAPKnvkJwm2YQJE6DVatk2V14pJKw0NDSguLiYKfD8p5qPcS4Eo5ezy2uA3atnRSgStS6YNR423o1KmoglOVeH7St4B4E0I0nm8UjVOeHye+Hw6wS1Go6HUe2FSeOBSe1Bt0eZW0tG5yAvv/Takm+Befw5em2FCoxKYwud/6ahk9jv7e5ubGjYi74WNVrcIpYRwYjECqDFiFYtyF16fBq4vZR0ygWvZ31tEX43ejHMmnCgTtr/C3KGYFV1UYwr4JkePp/ggMMaXfWXwL1Bo8W7Sy7H15WleLvoADrcrmBhpTSDETW2rpjeNzrap6eOYVBaCoqcNeAooTZYb8AP3qNioNeULJTNjHQkavU+eBilJTZ65xi5twe9Q4Z2wiUxyYxaLTxefzC6QP8mcH/dhNCk8cd9m1DdbYOfN0CtCUCtDkCr87FnLSiV2asoSKiZag0PldonqgZxQLuGAYAgyCdPkljtVjKCGddv/FwAdb1hVQEwaDRwsXeFCLgyCpSGZwl3fJOKcdHjGXucxd8lCk6kbj3n5mCo0ELFqFKAP8kP/wgef5+7BDd+u1y4zqjYOHDz4AkM3JNlJlhwx7RJ+KL0BCvMpNgWnseumhoUNzUhLzkJV636jEUqIpOPSbZVKqDDPPEqsQMjgiISuI80t9/PaEFWtxuWDjUDHyzh1CFUr5Ub/e2ZlVtRUdsWc0H/wbcHceG0Efjw3qtR2dKBuvYuJBoNGNk3q9fa9pGm6c1+MblJHLxJwIXzRuH1dXvCAHCksWROM9jiRhrQOhJ8uG/tOrx80YW4avxoFDU0RS2gCAj3xvIykhnoJlpT5IJFOByHm8+dxNRlrl4yQag70Ytrp21uv2Aqrl1QiD0nqmF3udEvKxWjBmRHRadra9rx7dfH0NZmQ2qqBQvPG43X/7WF0SVigUNjix/2bJEKo/B3SoYl+pM0SPj1gkyuxhF9jVREvcZnhVDOEHC4vfh821FsOliKdx+8Ev4uD6PhyPcUopI81H4//AZxDqIkXw0HrUNIxqVzCotRHmoHj4qmZlSebGZN2rqzBG+9vx1/+cMlmDi+X/C448flw2zWw065OTHMZNJh/PgCdi9e2rAr9k2QWJGyIYtUj8ZOKsD5c0bii2+Ooraxk9XhWDRjOK5aXIg+WcnotDnRKisIp2QUKSip7UGCi8YCd+xnO8x4YNm8cbh8bii6Qc8ktZfyPGI3RKhhoKFUicgqtxS5FsG9YhRLoggxtCxssezyKdBESI/+xxqP/6/tR3nwCWDLwT0ZKemQPCZJZvbWSCKT1HBIYpMkLyXOfFJSEtPFp0GMJDCffPJJDB48mH3od5PJhGXLlgW3vfXWW5k0JrWB2kSa+FRZV1LV+U+0AtMgVNhOweZTo6w7Ax4mJSA8bXVIhlnjxswMPW7u92DUYJ5lSESLy8oAPAvPEXVb42OfSEvQeWDUuOH06RUpEx6fCgHiKkQagXKtH5xPy1bokleeADP9+tSU8zE6NQeH2kvxSNG/4AmQdBYPcqa4vVoWOSBqkdfPgdQnfeQpoFlAoQ1kpFZB12S2RHvibxk4G19UFinOQj6fGt1dJjaLE5j2UcKrDPANSU3Hs/MWY3BqGganTsOdYycz7XtaXA5MTsPFqz+MG1qnv9RYu3DT1k9C8oQSiKWfugDUOgHQKpnO6IWXkoAV6DH0DUltagw+eFnOww+3++dMhZ4UerxAmtmEBYMHhlElmp02rK06Kbadg9+nZtWEqehYWHK00Qddjo31XcClhs9KVYIiLooUkPT+iNwF4QC9HSdZqJhVvxUnBSmXQMEo6fPC4UPx/olDCLC6CxGzjBrwZASga45N1blq+lhsajiDhi6xDoQCz5r21bWQ7IpAd2KbtKnx2sq9ePXmi/Hugivw4Nb1aJMpVuk5De4ZOQUPTA4f7xqsVpS3C2HsWH2i4Th8d/o0LGY9WhwR1DDR+KgYPKByiYop8hoPwRi68rk+PHYUo9ypcT3l9LfyhragDKWgNx69CFi1sxi/vnIu+mWksM+/azOH98eJ2uZQxE/KLZG5CtmwpWDUPFrMXjF2FJqbrPhs99H41yhPCxJ/bq2owNNbt+E3c2ZjxZFiHG1oDFvIsb7uhWWnJeDV+y/Dz17+EqW1LcxzykBvIACDXou/3rqEgXvJfuiCyGTQ4ZzCcK62ZARQX3l+E1avPMD4+JKE68fv74SfvON6WiXGOB+tmWMk/pJp7LzoRQ+BN5+JY/dE7aYFEM/6iCnhkCQt1f2Q4Ui6H512Jx5762tonMLDFYvqpPIG4Nepw+h09BxoXGJREbmuvSyR3+324nePrcS7r92CPjkpQe7/tddOxxtvhLzykXbtsulsu5M1Tahv74XIRpini0OXw4WfXzwLly8SHI+RpuslwCVpzJ5saF4mTte2xqlqzLPFqKnDj91fnYTvqtkMYNMc5+lwQtMuOAtJHjRWwh4D6ZTYTkT7iO/jPa3BV0pF+YA8LruwkCkBnbWfMMAneovVGl04yWazsYTX3tqrr77KfpIST6Rc5k033cR+f+ihh1jxqnvuuSdY6GrTpk1BDXwykufUaDTMgy8VuiLd/P9kDfzpaQuwsWEDTnVlMl15wUKvkt2nw6F2C3a3lsKiMWBEUl9oVGosr9qP4k4h+Y5oLr0xvcbH3mu3X8M8/GQqLgCHW8/oObGMQODCggEYYM7C1gYqOBTA5Ix8XDe4EAMS09Dq7goD98JxKeHOyz4quPDGpF9hU10ZXirZTIFyFl0gzzGZRNWRVFnoOpXs5ZO7BI8/iwSS55j8RKQwIOxLnHdSsvHyKqj0PqQkOtiiqCApESvn3RC2QCK1kBFpIcWKLJMFpR3KfErpjvgYWYLILHxMSchYyc4kn2lKcsJrM0EQWgnRqDQ6P/QWDyuI1SsfTaRzBTyePLCFHW5CZi7+PG1hFA+6uK0x6tp0MpBO7Q6IlX+lqrsE4tVJHnibjQg4Q8dTJQkThVInqdrVgDm+y1MqACbtw+uIj6uKmUfwh5nzMK1vHj4tOwoXk3KLPq8n0890z3Ud6jAJTTpeQd8U/OaiORh+Igu/Xb9JuU20yPJIBYK4sP29fj/uf38tNj98Ow5efx+KWhtR0taCTJMFM/oURBVMcvt8KGlrVeC6Bk/GfqfniDzsm8tK4i+MxEhDUHWElakXAJxkQa90DKPITjuhsR9ikvyI7PIIXNTJEg4Vd+N57K6oxv6qOtbGSfl9MX1A7KTiy6eNxjubDzCqAsOQYmVWORXA7Fah20MLyxDHnZwMpNjy6uVLkWQ04I5zJuO74nK0Wu3hIEgMH7LIkpJUKg98erQIP58xHe8suwxPfrMFK4qOB/uaqEwsTyMGyKHLIo/6sLxMNsZ8/Ltrsb+kGtuKKliSJgGzxZOGwWz4cYv33thH725n4J6MJBjlg4SKKH1cAAF97Hkw3hRCYN3QFoAnTR0sDs4eYTXHIiIBprAjOxYx9iL6ilXAPVANS4xCX3JPPkfFAmg+iNxAgTETPCdhf38Aq9Yewn13zA9+f9WVk+F0uPHRx7vDkk3Jll42Ae0mP5Y+8ja67C6o3GLbw2sOxjQCzlnJlh4XZeMH9sHRM/WxpZcDAcwZPSDqe5fbi+1HzqCj24HM1ARcNHsU1u48HvtkHAddt5/1YWubDdt3laFPZhKe/csaVJQ3Q9IJorHEma6DM4NWYyHvDtGm6FmhVgqRFPnFolc2eXw/3HnrXAzoF6ql8h9v/NkkW0WjIlJ33HEH05+fPHky+27v3r246667WPGrXvdvL2pQ08D52GOPsU8sMxgMePHFF9nnp2Jp+kykaGfCz5NOsDJqanHb8MvDb4PnVUjWmnFt/1l45dS24BYdbhOyzUJJbyWj7nX6iQqjgkYdgIZpjImFqPwcrIHY1B3JdrWcwT+nXI4Hx8yJ+ts75d/CTfrpsfjJHIdVddtxaZ9z8GLJtyx5N1Kik+AduWrGJPVDuiF60PyysgirKouDoJgWBAGWVyB4oBn9R++H3yOMzhSNcPs0SEuzoZV3osHVgVxjeP0AuV02ZCS21kYXLpGbk3NB1cOz6vepoNIqh0GJzmJIccPh5oWqu6Tcog0I2vlBuotf/JsSyVriYEs0KrEtsgnpcEsDLlv3EVZdcF3YAkYVFloQRjSJmsMWWNLMLQe34t+0mU6464gfq2LgXmVRkIKkQzpUUHVqoEriEUiI7fIR1I5kf1SLIJ9kUGXdm2ky4+GZc7B0yHDm8VdJ+bxKRgvXPn54E3loOwQPIOuXROCN2y5lSjCXjRmJZpsdz23dKWhQi88mTbAEnin0r9Ro6gNKGFx3+CSumjoWo9Oz2Udupzvasa+uFt9WnMa+mjrYvVTWM0Z7Jc+wCIapqmpPlmQwIEtvQXl7G5PDpMWMtBgSwuLx96frTE0xw17ljJ0gLj1fckeljGYnefBJ7SWWVbZ14PaPV6G6rSvogX8N+5CZZMa7N1yOgenR72BmkgUzh/XDd8fKBflKqc2ybbzeACxtHPITE9Ca4IUuUYeFQwZhWeEY5Kcks23SE8z4+L5r8NSaLQzoy6+TKhEz730M8/j9OFhXj3kDB+DJCxbh1+fMwudHirD+RAnz7LosHui6xTyNMDQrNPRXV80NOhAIRE4ZXsA+/xPmdHrw+cd7Yv6drdG8PAK62BUO6ZnyagFdjGmE9BsevGgOPtx7FJWtQlI88wnFWOgrcTopStDTTB/cTem4PeRBEHDftqssDODTPbn55tlYurQQ3313HG3tdqSlmlEwPBsPvb0e9iOesOeEFjMkw8sUm5TCDBFVg88tHILDJbUs8XZQ33SkJkbnL9167mTc90q0DLD0Pg3MSWdJsHL7/JvDeGXFDqbSJI3DiWYDZo8biG1HTkcUdhPnD6orIEZiiI6zY3sJ9n17Et4I6V5aqJqaPSyB1pFNBRuFfYxNAi6gKryRXqpe+hBx+cUTf1rg/v+I/SgP/gsvvIAbb7wR06ZNY/x3MqpES+D++eef/69u4/+3VtxFygax3yDhXRZAcafXjudPbRT58oJ1e/SweXSsQFXk+C2NXR1uY9hMLX3vD6ih5vxi9CB2G+w+D76sPgyS6w3wAYxKzscASxa21VZgdfU+6ONMnuTx39t6EhfnzmXgniyyndIgRnSfSCtqr8dD+9fI2h8x+EisDQL6aj4IIG02A1JSqFAMLXDig6jF/YdgbEY2iluboqg65CnMMlvQyMWpAhpsmQJBPngcFas6rNZyDNjHovL4HFTcR6aiI+1PesiRaqoR3iaarAgM/2X/Znx03lXB78dn5EJPqhBqD7Q6Asu0SBIzbcN4IMr3hXnyXVqozcJkEaa0SPt7OajLjAz86Gu0cPf3ICApAgVJmkA/YyrOKKnmEHtJHWCeP5pN7h47Bb+aNDOYcNrpdsHh6zm+ETDy8KgEpSOtSoXXllyE3ISQKtPd0ydj6chhWHnsOKo7OpFoMGDhkIG49dWVcTEygbbDlfUM4AvXz2N/dR1WHT+BzfUVaHLJkJF0zWyNE39mPN7SjCGpaajs7IhJEaPnb0xmFt6/8DLUWbvR4XDht2s2orylTRGEK/YLz2PqwDzUH2sD71cAWnw03zwM5HMhT+x5k8JlBSXrdrlwzdufosMWXVCtpcuOS177EJt/cRujkMmNePO7TlXF9dCSkZJQRWcnzCf9mDd1BH4xa3q06kySBc9dfwHz4i9+8A12rVTkzBUuL698fFnuQ2lzK1YcLEZ1ZxfMtQEkdApylF6SjJStlQkkZWqMmDLsf08K8OihKjhdXngS1XCmaVglVbpnpPFubPNB4xIY8cSrpmTWKCMKVJKa8dUvGzQUq74+IqiF0XjhD8Bs0iNrcAr+sn4rVK4AeHMPeUIxLJL2obiNeP8F/0f0gqSnI3hF1adIS0uz4Morp7DfydN/4cP/YjKwcnAfPDarCi4sesIaFtZQHhPy+uDWP30Km9MdjGgQtZQKUaUkGDGsIAv9+6YhLyMJD10+F3//YmtIR4HSDAI8i/y8eM/FYXSt5d8ewd8/DNGKpCZ2213YdvA0Lpk7Gqu/OxaUjSVnBikOUU6EvH9Kj9bA6/XFrKNgaPXClapBQK2Cpc6FxIAa1gSKdCnAQUalFFlaCseSFmXJKT89zXvubJKtsiUnJzPefFlZGU6dOsUmvREjRmDQIGWe4FlTNpsvfoVRUaY74oUPJ96WdGZgWEozzFovo1vIX8J2jxEeXiNO2LRQoEqwKiRpXRie1IRmuwXFbbnx2wDg8WOrYdSHQNbopALsLXEjOSsy6y/aPAEPVlYfZGAlZiIrB+xpLY/6/pWTO8VrjuUukvoj+m9+vwp6NYdsQ3yuMOnEf7DkSvx220Z8VRFOmZiem49Hp5+DxZveYBMCw8Qe0osTQtOcNsAWFqwVceQ2aKHTgxMKGjWPOf37QOU34OuqMoG2xPHQ670wGH3Qc2qckzIBn5w6HrO7qX931FehwW5FjlmgsFm0OvRLN6JGTOSUW0+la1h0hPIDnDp4u/RQGfxQ632CJhvPwe9UQ1NN8iTCcagar/60Dv7EAHzJ5BoXnjm1QYMxaX1wpqMrfJ3GUSTDL0Q+RGBM56OEcYtKH2x/j/KkHKDRAckmPRb2HYL7J0xDjiUhCsRRMvWwPulYNHwQhqVnMBpFbxxUEhWn0+nCXctX42BtHfwWodhO2AF+ALX6aGMjfjltBr46XRZzG7qf144ay7yRfROT2OeCMUPx7JadolyhUICIcZZjRU14HjcUjseM9Dz86q11DOSEcd4hUmMUupcl+YoLzBEFWZg2IpTIKLfPDxUxcB85Eki/UxL4I6u/wavLLgrbr6a1k4H8npRq6DopRalxqhrL607B/5wfj/4m/FiSkTffGFAzuhTiF/lmRs/W6GyBH3+wpg63fPQFe1YIFOs7xev3Cp5wqujM+oQeVz/QBQfWbCtCUWsLvi8qZ97c0fnZWDZrHItM9CTl/O+ay+mBPVfHqrLKQbEnSc0+lloP9N1+kZevsH+GGjqDFi/edhHGD+iDGy6Ziq17S1nhOEoU3XCqFJuLz7BjG9oDsP1IgI9MPdAWuxAcW6eqOcb317sApsArr3nVg0wsgeSC/DS8vGIHo5ElmvVYNGUYCrJSsK+4ilHABudnoKnbhqaO2BFvgSok5gDITyYOT0kmA/pZknDsZF0o8MW25dHtEIosEOWnorED2CssDM1GHX62dCZrw5mGNhh0GqZ9P2tU/zCKn8vjZZ77eG3bW1yFQfoE1DaIjhKFPvH7/Giu7YivusMBMzOysWD2CKQkmzFsVB9cfOurMaZSIb9CKdFW2jyg4WAy/vfR0P7bjD9L0YlrUuLrWftx1teYjnJbfczwZRhnOej9Dn+lSd6yuC0bSToXUgxOxq0nb7nTT8mxKmhUPDQqP7x+FWxePXJNnRiQ2M6Om22xoji+c1pYGMh5nRwBpVMYOdjBaD8SDYiO7YsqpUfeIA/O2JrjJrKSVdnbokLn39WVhp1bsXUSVglSTQTTqjksyi6EOQavX26JOj1eWbAUdbZu7G2oYQCoMDMXA5IFWsG5fYYx8B9whF8f71YDmgD0Fh43DBqPTyr3Mt0hiasvrc+8bjVTlKHFgNKcT95rovhoocOuruNISvGGTW5k9M3a+iNQq3Q99qUc4K+pOYpaV5vCeXsJPgIc1F0q8Dqe0XkCTiFhWCLl+pN5GFwCABKOykHdrYKmWw2/joerjx8BXwAu+KBxq+EzioRyFc/kTdlCSYo4U4XR0t34rqEUn8y7ASl6E6rbu5DvS0FdezcD1AFDAAETycGIE69X2NmnC6AjYMcnVYdQkJaIu0ZNDV4Caek/s3sHWmWLnFEZmXhi7kKMK8jBseroPAXJyNtGRZ4IKN+9fDWO1tSzCS9mMV/xe1aHI04f0/me/GoL1EYwCcfIW0K/nj9oKBb1DzlNiFL0/uEjgp49exRlb0eMdfadEyehT2Ii+oxKxOo/3oTlO45h5/FKVvSGAVX6xHic/FRkjQemD87Hk7csiZkc+umBY5HNDzM6/Pbyyij1GK0sR6qnp5EtAjgOtj7Aqsoy3FTThoI8sXxthM0qHIDN+8uYbjcVqvJZlE9AToeFgwchW8zneubb7SExAbEolrx9jP4lj3RwHP7y8XfwJoYqju4urWKVeG+YU4hfLZ393wryq5x2AdwLjZE3jE0ctr46aEudyMxOQmNrKJGUnh11XxMuXzwa18waj75pSez7tBQzLj1PSBqtbGrHd8u/EvrCxUNr56EiiiGjsCgNYlRNVaiuHPl9YroFXFYA7iZn1G2QHj1Xihq+/gacm94PowvzsW7vCRw/JcixUhzC0B17FUjP1e6qWuxpbgiuc1ZuPiZ4aMW8DrKENGNYdVglozGIBclZPiqHnCQLlhaOwORBedBDhdv+8lnovFIUVSHawIY4n1A07p+rt+PP1y3CnUtCY1Kk7T5WCbszftHLhtZu3LJgIj6NQcsKBk174ENR/sqQvpk4f2lh8LtpEwZiz6EzUV5/omPxWhU4DQ+tM1SoTLpQqrA7oH8GcrMFutxZ+4lSdOSFoXqyf/zjHz+2Pf+n7OK+U/HMqS9i/l0I54VW+SQ1SamrSiTBLo8RXR4DNKoAMi3R8lx0HJ3Ki/4J7cFjG9Q+psTjYOo2sSYijslbSufva+mAltRUxM1Z8VW1j33a3CZRDSi0r4rrhoMvRn6CEzavDp1uo0ARiTCDWhsGZL46XaKQ1CqCSNnujEfOVBRDHn2DwYscUxLuGLQEP8T6WBJx6eCRUd/PzhiEdcdPK6MoH4d8dTqT+CxMy8d7p3cFk6AZb5cLQG/0M3BMkE9KKJba7nFqWUEs+m5d+RlWulajVcNkcQc5+tKxKEm5J3BPRtKfkn18Zl/YoiPaYkdg2ALTqRaAqkdI8PRbIiZaNeDK9UNj46CxqQQ6gJroEQEEDKT8IkQ7hqSk4xvfGXBOFXiDoBwkB/ehhGUelbY2/PnwRgwL9GHeagJiHHtmSI9ZDbVNjYAmAJWs0BXx0QMJfiDJj6cObcHQ5AzM6zsQ7x49FKyYK7cTrS246ovP8JtxM8J03cMujfjrFhMWjhqEv3+zHYfL6oUJ1NzDPVDgIcuNgIPb5WOBEJWDXnIC08SHEjcIAHP69MfzC5eEJahWdHSg2S6+29L7x3IbopVvEvV63Dt5Cm4rnBD8Lic1Efcvnck+tz79GY6dboibXB7QA+ZEPf5x90VxVUE6HdHe+8hjUeSgxWZHlqy4UEFGCqvy29RqjeuhZU++rJqtLR/YuO0E7rh2luL21y2eiO/3l7HjWWqB7oGCNzXUYcKzlp+cjD8tFHjbNR2dOFzb8IO4x4wWpyEnS6jtEnh8f+shjO+fiwVjfpgDjCIa3xSXoaKlA2a9jj17BenKUcgNR0piVieWQL5lcAo+eeMu7Dx0Gp/vKcL+2no4PF6kJ+phMRqQGCOvgvIipMgZAVXWlw1+dOeLCTHyc4p0P62NZ4nJ8jYQwG5tsYHP4KD3qmBsD41E7FaogY5BOrjTNXj0knnI1Jvwm1fXCn1pEQd6GicZ9UjYNxgAZIpuPKNPBXS0+g+PTAmRAQTVoTqtLiaZGzMCqhUSq6XG0dnqOq14dfNeHK9tQr4uIbhAYKdg75zywTh5bosKeH7NDiyZNJyBayXrsjnRG8vvn8auVe5Rl7/BfrMa6I4//hCIT0sPz3e75erp2HekQnQqCtFJn0ElULvoSz0lVqugosWeW8ap4zjccs2M//Zo1X+HcWcpOuHKNqNGjWJqNdKLpdhpP8Eb/b9lS3In4pvGIzjaWRHmqZbGbIEaGupP8swbtV44vUrhMGF/kza2FyDLGK58ROcYmNyKotZYNB3iNPPMU0+WbrCFgXv5cajNKTonmlwWBmLpuwSNC3pKHuU7kKQHkvQuZJutqOxKhcMXugaCaefljma/u/0+3LFhNbZWV0CdJgfzYlKtSB8Phm3pO9I5VxGPW2jYRYMH4vdjL0SyLr7SQW/ts5NFosNY2WVb1taOU+0tGJ7YB/MzRqPZ2Y0WTye0aqH/5MW9PH7itwpgyWXXISArliWZz6uGtcuIhGQHyyOQTGPwgrMaYo7d1I+UBFqQGAIEpd1NccC90P54FugS7hML85MH1k0h24jjaQFfMg9fkiiF5+agsaqg9oQUX9787gDYGo6pZHBQJcZuEy1iNtScwLozFYJakiRPKoF51o5waUzyHKq61SwngE/x46XDuzAhow+e3r1d+brEnIXvWypw/7nT8cLGXWHePSkk/8atl+KNbfvx9vaDIVJY/LQVxXoFklF/0AQr9I0ga8gkB93yolhAqa8laiyVex4p2ZaKUzF5OyZVKNAFyEN+0bBheHLRwmChM8k6nU6c7uhgSlI3L5mMB174UhGYM1xCOTdawOpyY2vJGSwcGRuokpKNrQfvo5JRW2+bPwlPLP8+ruY8UzRKkI2Pag4nWf6Ssg0fkI0n7jkfj772FXUaUsp52LMBFzmqpQRoH9DZ4cSmk2W4ZsJYtNjC+TyUmEtgUAK3scydIjwPGqkWmgga6PffvrcBU4bk42qi7AzvmbKzqagMj6zYBLvbw3JQ6Bl97usdWDJ2KJ64fBH0MknFQCCAstrW+BV8acwfnI6a1i48vPpbJu0oPUNUwOy1r3dj7f4T+OCBq5GWEJkf4ROUZ0gKUzwtSVYmVvngyFCz/AZ2Z3geWisPU6sfngQV01NnC3davJIyDh8qJOcbmYAWuwe6Nh/7niQ3XalqxvkfkZuBOUP645Lfvx2kQwaNJB7ZsQGtNcAoU2TDhmSjwtYFh9cdY5EjepnF6rtM453ap2Cs9oUM3IcdA8C2skqk2FTQtHip0Cu8JhUCuvgqfezdEtOR2rodOFRei8kRSbVkVPjsWGk9emOnq9pYbQC/moPaw6pMCZFNVjCM8kQ4+Ixq6FyBmBx8svnnCvOtZEMHZePZR6/AE8+tR3O7jV2fbCUV3I6cNh6dGjoH1bVR44E75mP2tCH4SRp/lqITtK6uLqxcuRKZmZkYMGAA9u/fz3Tnz9qPN61Kg2fH34q3z3yDL2v3wO4PcfIlCUi5sWJRRPWAB05WBTb0dwKSJq0X5CBQcupQFVklnfyCxA50uQ2otqaKCsoy0MQBFoOQwEvUnASdO+Z8IhSz4kH1N7udRuQmdcGgETnOMjU1EjPsn9SOkvYMkdIjAODrBwhVh/+2ewe2VVPlPQ480UFMVJApNFhL55L/pPdUa/ZC707AMzMXY3E/5WTAH2OtTjsONsUffMnTe/+2NTjjaoZG64PR6IFeE4hqKykGGTR+2LwCyA/4Yk0QBKYBj0sLA9FYRCOwn5msQlNnNHqU+vm3k2aHfa9Ta+DzKYMvaeFBpiDOAH+zATyLLkjnIMkaMe4XfA5Ezxn9WyWC++7QqkQC4cxTTKXP6Zk2C9SueNiElVkzBMDbo/uIHVPmumLee3MAfgtV4REA8pHKRix49W14qBKukjKG2KYdNdV45qbzMHtYf3y+5xhO1DXDoNVgwahBuGjCCHS73Hh1y97w8/vjUHQko2aLoFVSYAku4sUKv+zf9L6qZDQUMUG31e5Al9OFFFPIJdovJRkWnQ6eJg80VJBLtnDT2jh4zTwDwhcNHx4G7tudTjy5ZQvWlpQEE0ozTCaMm5WHQ9urwy6EABsBKQ+BYY5jz3YN5U6whFkbvj9SzvjGfTOSMG/MIMYpXjp6OF7dGt5HcqNWZlhMyEyQBPtCdsX0MYx+9e43B0JgUFrIiddHixcmdSkzS0p86t38yUMwYXge1m4rxrbSSmy31QaBoWTdfjce2/A9ywUYmJIaMfFzcGaQ15qP4FsLoJ95lRMpyiGQxYm6wmg9MkxFnPzdJVXYcbISl00dhT9ctQBunx9fHy3B7tJqlpsztiCHPWcn61vwy4/XByMq8sTfr4+Vsu+fXXZ+8LtD1QK1My685zhWVfShDzeEwD3JIrqIdkPKMTxa2ztx9SPv4Ynbl2DKqJD6z4Cs1GBxJL+BY4sdek4d2Wq4U0KhN42Nh76LchaEqrSaGPnw5BD0NXmwaP4wfHuinPUD21+lwgXjh+F3S+fiiy3HWJ/FClIGDCpkFaRh+eM3seNV1Lfhmj9+EH8goUuW5U0IY1W4vCe7RgWaXMQFoFPvR4q4WCDVml6Wnwpapz08544qDP/t3e+wZkux4MiSxjSFNlA0ZWBeOnifn8l/+xCAL0ZUzZ2ohYX3w+NWTrS9+oYZSMsIz1EiKxydj+Vv3omn3voGa3bEkOUk564amD9/JH5x0zwkJvSsxHfWfgIUnZSUFFRUVDCAX1lJfMqe0gbPWm9Mr9bi7sFLcMuAhahztmFr0yG8Ub5VBNrRbzp9o9f4oVP7WcIseYUJWKsVPOtyI+8/05yPdFBwwJiMBvSxdKOyOwVWjwH9Lf0Zd77GJehZk2lV/p6cRWzstHWZWPsYuI8ROSagm2p0oNmRAA0XwJCUZmQbLbB5PPjo+NHgOQNONbRmKuYlRARimbQA+NucRVic1zO473K7sKK0GOsrTqLL58SApFTcM3oaxmf2idrW4e2FggvPo7yrDZwe0Gp9jCYVbFdEO2nyMup8aG8z9UCdIRpHOMAnNZ5F/fshW9UHLx3dDSclEopG2uxPzTgX03PCJfoWZA/D+rpiBiYUz0JzHdUQ8PBBHXzKNQh06oUcg6hWKfBPAiHOqsomoFUl/jl9R1x9cqT1JtCnJH0fNPFBpmfFl+kDL0UV2OwL+BMCaA5YoW3WsAI8flL2iWFNdjvG5mbj0UujC+O9u+sQuy4piiB4I0PFeGLzW4QFWYg1ICyCaHIkgMgWCBHVbsX1LuAlzycXRYsh0D6YS8YpV0so+VTNw59AtKgAi66kBQyY2S/0DHS5XLjoww9ZAS55D7Q4HNjiqIa6ANC3CTxrlkzqFz7qFkFi0mfmkaDX4+8rtuCTLUeEugGcitHoLAYdHlm2APfOmYL3dh+CnRJmY3THPXOmKnqw6btfXDgLSwqH4R9fbsORM/Vwi/J+1B+eBMBLYkgRuy6dNgo9WXKCERMmFuDpY7uD0v5K9q+9h6BvBzizlFArYi0OsGVx0Nl4uBM58EQDYQ2jCBLgTg4HiAScpesNfi8+ACv3FCMtyYzP9xehzeYIUq82Hi3FC1/tRB+RBx9rfCGQf8+CqRiYKTjVdpRXgSd2TUSuQNTCKt2Cr3eJAgY8D51VuD65dXY68bNnVuL3Ny/AxXPHsO/mjx2ExBV6WEkphuNgz1bDkyKAO/nL6zNz6Bqshr4tAI2YDxPL6K/nDRuMP1w6H0U1Qt4LVUJOMQsg8URlU1xuCS9WZqX9iOrSpaDa1NP5tZTEaxAGIGkko8idV9OD5CwBW41QzVfjpggcC8nGLBwlnU9eZiYnNRxU//PDrVi7lSSgQ/UDRCZiWFvYuKri8Kvr5qH4ZLSuPluPkqNALe6vU2Hh0gk4te0MysQ8BjJS+ll20yxcvmwq3C4vtm0qxoFd5fB5/RgyMhdTF43AV0fKsProSVbngPkfZO9DqCs4Jjv8kwf3/FkPftAuu+wyzJ49G7m5uewGT5w4MWYhqTNniEt81mI+VzyP4121+L7xOJx+D5OdPC93LAZYsvFRVQXSjU60uwzwB2d8YSgiEC+YAHglbrxktFWC1ggvaKINefik38enTECDe0tUe+hY6SY7Mk1OjEqajBv63Ya9raV44OA7sjb3jMjYgMZzyErp6hHApRkcSNS5kGawszHSG/CguLkLLhlo1Rj8MBq9cHvI7x8/HKrhVDjSXosleSPibneirRnL1n0Km8YKjjTYOeLfNmHL1pOYktof78y7hinryDXZjRpNGJiONIlrz9pBQKuHxYiGJhNWOCu+RSYOE0i/qv9UjE7ui5tGFOL7mjNMRrIgIRkzc6MLL5HdOGg6NtQVK9LCyTubYUjAqiX3YF99DZ76bjsq2xSkLCOuNdJo4ZFnScSEzD5Y21jSw1UBnEMFPlmGE0KPdWgmoe9cPat2+JP9AriP7HMxouBL90HboGUe1ligPN1kYpPm9xVn8NGxoyhrb0OCTo8LhgzFmVYhZ4U1ScPDk0xgOvw0YSbrHkrerHdYo/jcdBy19KXCs0IyfROycmCOKBpIEpDl1a3iveThzvLDmy7PwgdcPjteObAbdxZOYdd09Sefob7bGpt3bALU9TwDPmGsCD+g6wKI8XeqrJFVsZX+Li0WKYHwd29vwAv3XIzPbr8aV7/5KQP5kU6EqyaOxjWTBOAYazwckJ2K1++9jP2+9F8f4GRLq7I6EM+jjzEBEwv6shoFW09UoN3mQHZyAjvGx/uOYs3Rk7C5PYzv3+S2w+eL7/xgQSgNoBVZOkFmAo2basCdRD/D1Q78Bh4aN0clIoQqwz1Qeehvb36zj917MjlIc3l9KGtsC3/+I4xA6MZjZbhngQDwqQhbwEL0rmh1E9ZN9D+VAOqCx2DJ8MqvCtlT732H6WP6s+JKRAe6dn4hXl23mx3Lk6IS+iCG18KdpoK6sSfCH5BkNiDBqMf0IQWK1xiP/hsEu2IbSqub44u4ibkB8iJ2QnVcIUKVk5iARIOeJd87vY7Y+QwyI8DOKDLEg2c1BpR5+OwKxPtJf6Z8k1EFoRoarR02fPH90XARDXaCUERPsiEFmfjltXMxdkgfZKcm4tWPt0fR6YJcebEtH245guy0RDz+wjK4rW6YTHqMGV8AnV6DqtPN+N2d76G91coWDtTf23ecwjM79oPXs8o0QQk/uj46PqMDBqO9PNq7eyFRddZ+Oh78N954A5deeinKy8tx//334/bbbw+rJnvWemdWrxO/PvQx9refYcCIEyfM505twKOjL0OjqxUatR8ZJjs8ATV8fhV71/RqqkbLo9MdOzRN798dA89Hl68Lq+u2wuoTEvJyDGm4tmAx5mYU4rUzTThjPxUF9xgbmFNhfubF7N+T0gZhVsZw7Gg5xcAEtYWUeMg7HW8M7JvRBa1IT4lltL9O7UOyKL1pVltg1hB3PxxcMklG8lzq/HAFqSIiiYiNNjQ4Ca3vjbl8Xly34TPYDd2Cqo1sN/p9b3sFbtzyIT6SVb81aLS4cuhofHjiSPwE1yAvveckWDKjVsUq28Y+Js/aSCZJjD4wbBED92QWrR5LBwzv8TzDkrLxz8lX4Zf7l7OKw8J9puMFkG1MwpvTrkei1oAFBYOReq4ZV3zySYhjTvOFKMfI+khUjmBcdVZWmGeLJKK0FOZnoakjurq1ovlU4J2EvjlwncQHEe+t1g+k+IAEHxKcZtgU3K489YkYaeApH8Acx83PVB6IRkHebRX8IriSjIBCYXYuss0W/OLrDVhbWiKTc7WibE8bjE518LzuVHEhIacHyZpIi8wRGRmYmz8A8/r3x7ryU3iv6EhUmFzOblJqMx10YFY0/XHnqcqgR9id7Yc3LXphQ4D070U78Nb+QxielIHSdhE4xjDyRNPkHdmc4O9OYNWuELgPO5f43ry0Zic+/d112PzgbVhxqJh5ACmRc0ROJq6ZPBZT+vVV9N5XtHfgjb37seZkCZO1zDCbsWzcGDx+/kLc+PlKVjQsbNFBiZZqDV694iJ8sO0wXvp6lyCzSQCdKSxRLk5IUrWhS4hasC6Nk1wJuZpQJH6VrpMok3IdfHHsIcBMycgsKhMPa7LzUBRV4ZkO61Dl/an/bK5QTY9RfbKY1zmQCGhZIa6wx5L9Q5utQ05KqBaEFGGIaTywZlsxbrt4GnaVV+GlbXvAm4h2J1V5jdk49sNnEBaKsYyKQY0dHB0llWzaqP7YuC+2g4AVEhtREFRiami1hmiG8qZRjgstZEQ6jXBpwsKcp7HLIIDWbnjwzC0X4KrnP4bOTsIA8ak+JElLHH6h3ArHzsGOyeouCuA6SDETF43sngQA36ku3H3vuxg3YwCmTh2E0tPNLJcoqitZ+0P/fvoXF2LuhFD+S05GIi4/bxxWfH1EaFZQUSv8/tCRmzuseP7LnfjoieuD7x9Jq/72znfR1SFgA2ls6hpoEhKVwxoT6j1S1JKeH+r/Ppk/fdUc7mySbbidd9557OfBgwfxwAMPnAX4P9Bo5Uvg/mC7UDlVTptwB3x4+OhnmJppEgcIniWo0kduRo0XTp8ujN4h/b4oewJKumuwrmEPWzxQBIB+nrF1Ym3dPkxLG42b+z+Ej6qexynrEahE6Y0A/DCqzbiu4AH0MfUXjsmp8OS4ZXildCO+qNkLd8CLdrcJWSZlHWFqc56pD4YmDsGJrpNodFFyZyygLySfSvvNyZgPNafGqIwsVqTIK9G/wrwbgtdbHSY1KSRjkUKNj+cxOSN+Bck15afQqepmdKVY9KED7dU40FqDSRmhZKifT5iBbbWVqO7uDAPkwcnfEKIvsQTaiFwHVrwqQLQG4Sro2i/oPxjLS0vjtJaD2ehn6kITU/vjugHTMTV9IH6olXe14uNTRejsUkGtVTNlngyDBdcNnIRbh04PRivII/j5qSIGVuT9ThMITWxqv7Aw+M3sWdjdWI1D3VWwq1ysD9wI4MsaIdSsStGA66DaC7EnS8aJbdWDo5oC8pNRRdtmPfI0qchWJ+EAF8p9YDz7VC9ASjkS0BK9c7xConJoR6qWS2o1yp7A306fhbcPH2LgXiqqxIyS7ngeLg1A6wKiqoR5WENzX/AKfjN9Fm4bPzF4jr31tYoLOMYF7sHdW9rWymgwO49V4Gh5PZtUbVTtjDjyOiiC+2C7qDCe2oH99XVxvcJkRE2JZwxAxFmz0t9KaltQ3dyJ/Mxk3DJjIvv0ZEfqG3D9ZytZLQKpj1rsdry4aw/WnyrBr2fNxOt796PeLiwa6RIWDB6IX8+ahV3HK/HMmq3BYxFGkarVRnp/QwBdBoQiTJB3jAOupbyUiG1YkIgAPlUY/jcZq0oRNrlR4amC9BComj9sECsc1sE54dbxUDtD1BsCY7wRuHnmeMwY2k9Qw6GqzT20kcBpeW0r68Mn128JgeLeMDHoHTEKFJhYdu9lM2OqyJAtnDQEL63cjnarQ5E7Tt/dcG7o2ZILOAed1wEhx4AsKlLBcmd4prdPRvSj9YdLYGniWTVrr1nyakSuwISzGDqEHAZttx9am084noooZBo4U7VsnKH+IieI5CTh3DwsDR60JqhRiw7s2X0Ir+0+BL1GjYCBY6o0sSIqZC+u2cmiRAvGh0D+AzfNg9Ggw8fr9sMX4bSQGzkD6H5Sxd3CYXnsu80bjqGjNXwOJ7Ucb1IEXzCsQUIESyzNwu7DxXPDk3R/ksafpejEVNQ5az/cijtrmOc+lhEo6mZ0lOiXlvj2Vo8OXpbpJarbsKqdagxLyMMleTNQ52jFvyq+ki0eQtzhY51n8LdTn+HRUTfgtgG/Q4OzGse798Mb8CLbkIfRSZOhUWmjkoAfGHY+bhu0AMWdQlJYlaMYXzV+HebV9SOAMcmjcN+gu2BQ63G86ySeOvVsnJ6gdgsFWPJM/TAucR6eO7IDX1WVQEecW7efqaGQfKRBHO00Gr8iTYgl96p5JKj0mJcTX5Luo7JDMSvJSkbdtbzicBjATzEY8cVF1+L5Q7sYCA5WVtVQ4Se/6NkT2uYk3rwulH9AaxVXMCFauBeE7za1FGNMeh6KWpuj7jd5kXPMiVh3wY1I1v8wnmO9vRtbGsrh8vtgUmvxxIHvWeEoOr+PNP28QIPbg2cP7YKW12NR/hDkWZLx6Nbv8fkJAaSziUnjhzbBCxXVqieFGpsB/5hzEc4dMgRdR23YflIAxBIzPZigm0ZhCYDrjp4wpOuk/lKTB186WdCE32vq7cjISQzx7AnUZnsAY4S3XlRVooJjAVocxEGyFHXwyfq5T0IinjpnEcZl5eC+9esFsKDhweuo2pa4UYCeRR6cViUAyFiAWvzxTeXpMIC/dMgwPL1HQcWnF0GeDrsTF//ubTS0dTNQxIsgT0uJjn16rAzFEosJzLBZOQ54JdpGj/GvHrM5garmDmw5cRptVoEus7hwKJJFbnWk0cLlZ6vXMa99JJ+YwMOZ5nb8+evNQr6ObAH1/YkzsKj12CZxyqXm0f2Kw+aSvKiKCsPSgquHawyCfAUPPzmU+yQnoLE1fgSrp2BjPJCv02iwZNww2b/VePGaC3Hreyvh4fzwiRQiqZ0T+/XB7bMmwajT4vzCYVh/8GSEhEK00UKAqDknG5pxpqWHlZ+C0ULHZ+FgclF00s8og3SvKRH7Z1fMwtJZ8fMm6NwvP3gZ7n52BaOASN55iUbym2XzMWm4MC6X1bRg7Y7jgoNH9JTTuCMl+SqBZuZciVhcd7U7oLMKfWepD8CWKzodIhQHaAGgdfIwNnqYwyO4zg8Auk4ftFYfnFk6qHwq1h4psZciO45MLfxUCVm2cGBJxnqqCyFQw5TuC525sqUDv35rHe69cDpuO0+oyEv9eveyWZgzdRBu+tMncfuUxr0DJ2qCAH/r1hPwJrKy9NDYRTUjS4yVL0VCaPyjPlZzbDwhZ+KMsf0xfazgCDxr/59QdM7av2/fN50QPevKEzR54U90dmNiRjpa3O1BD7gvwKHDZZQN/hSG5pg2sCfAY3rGaMzIGIXLd/wp5rnp2Fuaj+JOZzuyjanIMeazT29Mr9JgTEo+DCodpnNDsTB7Lra17ECzuxUWjRlT0yZjoLl/MAw4Mmk4luSciw0NGxUTSbUqH5K0Fua5z1JPwJK17zPQHJzs6anUEP3DDz85bOWhcXHQp8JQ1AccJRirA3BxbrS77YxTrmQ0QZTbWxl46ylht94RzUMnkP/Y9Pn47eQ5uGXbRzjcUY0AJ0QQBB17sZ+piqZHzWhFZAK4Dx49+Juf9+OMrwrn9x+LjVVlwagFbTErtz+enn5eENw7vV4WfdhWU4kAH0BhVi6uGDYKyTK9e6If/eHA1/iiokg8DlXzVUYt1M90T5449B37jE/LxeGK5iBK0iW5oEsO0QHY8SxevN3wHYbmpOHtkn2xO5D6OtWHQLdajBDJjkGLDFMAKpKylKmlRBoBJtJ7p5+sW4iGQ8WtFEzQziegz0flLEgdqnKq8IeF85CeYka32428pCRMzu3LAE1tdxca7VZG44FOhibFfXljAN4MKuKjvPAOXrOYvC03qqZ729gJeOPIgfBtpSJdMY5FC7yW+m7oyWMoasgH+4a6ooGDO0egH8U1Ahm0PosHXik5Lx7u7AW4J/vZv75kN4PAGIG6Z1Zvxf3nz8BN86K9+dsqKtFgjVFRlDztYnBC+Bl6Sqgp6w6cZHkBkdfQG4AeyfiSdiH1m16y/BTtucvPx/yhA7H4z/9iC5yYtQXi3C96FtVqFXOWyOVQJS36P1x8DhIM4Zr14/Nzseqe61mC8/pjp+DweGDW6Rlt6UBlHWY89RouGj8Cty2ajJZuGw51Vyty8CWj884pHIjm7ug6Kr0xApPnTB2Cxy6ej80Hy9HWZUdGigXzCgeziq69sYF90vHlk7fg672nsO3oaVYBdnhBFi6dPQY56YnYfvg0dh2twFe7T7LrFPjntI5lRWNigmUy9j1x8J2CKhNJg2q6/MHnQOsEkioDLOfCS6pNlC/l5KHr4sEFqLKxNwzchx2X8HqbD95kHdSyAK6XCtlFgPvQjqTfDwQ8fNg+YjPZQkEa0l5euwtzxwzEoNz04DZmo3INg8h76vH60NHtwN8+/B7fWVuBgYKaFcmGGprd4LwRGrWUxGwXipsFI2A0+qmAuTOH4LH7Yhe9+0kZf9aDf9b+C83hd/c4j9Ar9csht+Odys9x0nqaTW92jz6YLqtkr5Z+jW6vC60uOj7pCvNMUlNpTNnXXoKlfab1qr0l3dX4tPob7Gk7zhYbKdoEXJA7A5fnzcOlfUOl4uscHdjSVAqdSo3C1HwYNTpcnXc5Bpj74+vGTSi3nWHXMSRhMBZmzcPIpGEwqc1w+/2YtuKVcHAvM59HC7eaCld5gonFXq+K6cSHbedVw6cOYH1tEW4aJMhtRlqz0waH34M49XoE44FMY+zcErrWg51VIc8tAUh1AAGmbS8MhTYHuXtdUJNHOMY9Y94kCvuavNh/5X3Y21TDpPFGp2UjPyEUii9uacIN61ag3UVVigVP1tdnyvDsvp149dylmFcwgH1369bPsauhOqQ49ANyE4601QN0yVYNK0ClTwkH95KVdDfi7t2fMP34uEYTrpkHzyYIoQ0D01MxpiAbO5ur0dhg7aHKK9DtcYt1IIBAQg8EZ/oThZAj1wDk/XNxyDMn4ZIxI2HSRSMs1g7yfhK4F76Q/1E4v46HRqL4xGnDILnUomi/nT4bJq0Wrx3eH0wgJ2DOdO9jGEXdVG2klx/jWn0c9C0cXLnxuDMiopWTsyPbTotTA6ALFTmNMg3PIaBShck2hrVFUPwUXBG0cPSHFiX/WLMdFr0Ol08PT7A92dwiy3WQWZyquuxcYpt7uebolakdouxl8ATKFut1oirH540UdMBfuesS3P7yCnQ53EGqkFRbYenkEVh1+ETM49P499jF83Cwqh7rj5xicpFkw3IycO/CaZg7XHjPJY+2ZAVpyfjjBefg5umFuOaNT9HpDGndO70+LD9QhK+KSnH+gEE4SI8/8cZjXGpeVjJmjx+IkqbWH8YfEhdkRq0OP1s4HQkmQ4/e+nhmMugwfVQ/DO6TzpSHcjOSUN/Shat/+x6qGzvERaTQIAow+mghTl58cvj0EB5j4y5x6cHh+jmF6CwXBSHE3cjDb2zn2SdsPz/RoJQroZDR9xp3gCV0M61q0TzmHoQCyDuu56BmbQq1kQ5IlCfJ6DlasaMIv71yXvC7PhlJMOo0rGZBPLN3unDrk5+yPgw7tZqDM1sPbYdXuDZpCPRRhFUWpRB/UjRtx84ynDqvEaOHxc6lOGv/OXbWg/8/aP3NmTG995JZNAb0s+TgyTEPosJGlJ7jeKEkuhKnZDTguwI83iondRwRvQaYgB4MWiExN6xgDCv72rMRqP/z8X8JIVAxktDhteKjqo3sb8+Muw+dHhceO7IWO5vLg8OqSaPDTQOn4a6hczAlbSL7kNeZNYvn0e11QgUt4/ivrShmKjCxjYfPrYFP62defJ+PwL3yI+v3q7Cm4mRMgC9FEQJ+jvHQY3rxOSDDEK3XLdnuloqo+Y6APMf5WVRBOojNYYRe5xWq0cY4F7VpY90JPFV4Gc7Njy4WQh7h69YuZ2CXbS8DRKwg2Ndf4qsrb8SelirsrK8WtJR7Qf8IGbWbknmJx04liX3QJRI4UXY4BcQqs1H6jgrmJ116UnYQtS6TBwfwyOw5sGj0KHzuFaZyEs/I084Slynk3oOEneTFjwSznIfDUGTizRsuUQT3ZDkJCdAb1XBKOnVKxyf5P3pMI7TYI22SgswqLcp+Pnk6bhs3EduqK2HzuNEvKRmri0/is2PK6ka6Dppg41wvRdVaVayCsKJRd3moCJFYdIi8+EKx5PC8Fq8A7qWvFBlIHId7zp+OF9fuEOlSsmujhFZKHI3zOLzy9W5cPGUUoxlR4u3aU6fwffmZaHAv5lP06ACR1d8JtpGGtDgOYkGiVPCWsu1F5hKBe61DSo6MHwVQKm5G/7xvUWi8GZKbgaevW4IX1uxAeTO9J0C/zBTce/50zBk1EAP6pOHZ9dvDFjdSRPKKKaNxyaRRuHTyaPzuwrlo6LTCbNAhNzkRp0ob8NiTq7Fzdzm8Pj/y+qbi0qWFuHDxWGhEj8UfvvyWVRSO7FcCwpSc+/mx44zSSRWTKWIREahi/XHdhZPY8UbkZqJ/egoqWzvCknajHtQgAR4Y2zcbf7psIfplKFfd7a2dONOIFz7bhkMltcHvRg3MQVNLN/NCk9EzJ4/qEOfeZ+xB5lLebBWHCycOZ9Glz20Hex4zeR4ZZiNsbT0Xc1N5AggYQ6BeqJ0QP7RkMGrht3tC63KiOpGPSLaQo/tYWivI40pG9yoBGjh5r/I5eIo8ALuOnEGj26noRKO/B8xaRsWRjsFuNeVxsLolYYdji8zXP9qOlx6/Gj91484m2Z61/0pb0mccni/5Cp4YHlCis1yWNymY+NjfkgcqHcVDGeDTy0bJm0oUEBoCiR5i1AqFqoTveAxJEFRY4pnL78ZTJ99nwDxySKBvTttq8Wb5eqyqrECb2xa2jcPnwSslW9HssuJP45ayBc2ulmKsqt2Do+3V6PYK3Pup6YNhs5oUPHk8LEY3UxLyeDVwuHViIi3gZVSYWLMwh2NtzWh3O5CqV0BiPJCgNqDb4wKvCUBFnwjnitAMHu+f3oOl+aMxMiW6wq/Q1ujZji0ayP0jehhfmXoFHty1Cn61J+68Q8d7oWgHHhwbXqCKbPmpYgbyleYfNhHwPN46egAra4+FRRR6bxw4kvWkirvkdafFjza+SpIkB9qj+Uk7UJqkeOyraMbd2o/x/qyb4OMCcSk6DJDxgNpGMo7Ex5Ik4OIpXACcU5DyUwU4DDKm4Y/z52HGgPgVRAmAGw1aON2x6x2wJEw6vqR/H8nzEMFysjZ2vgQVqFoyKLSIm5TbF2NzcvDOgUMoaxPAoGSG8H8qWpbOgi6Ee+SC7SEvrz30cJMkp98rK0YGDqkGI2Yk98HW6tMI6Ig2FZ4w7NcC/lQOgwdn4qi7BddfNAm7D1SgrE7w7lKXDu2bieKGJgH4iwm5UjEo1gYf0GJ14FhVA5wqH+5dvZbVuqB3XrGfe75sgZIhHj/oYaSTE8iXFjFRx+Xgp8WiCJjSzSbcNnkiPvpgD9okIXmFSm+M9iGC+3AFHeF67100jRWqkuz1tbvx+ro9YRWRT9vb8Me3NuLVn1+Km+dMxKCsNLy95QAOnKllxxiak4HrZxViaeHw4HNqMegxOFugX2zfWYpHn1zNmiZQ7oCa2nY8/8q32LP/DP7yx0tQ29WNvRU1MfuMjVlUf4E+RJOjd4SeZ1ZsTVj8qXUq1LQJzxNLpl8yB3d/8GWwEmvYhQOYObgAOUkJGJmbhcJ+fdh1/bt2rLwedz+1nFG85Ha8vCEmCA9y6z0CFYbqQsjVc5S2//Ot52HJFKG/z507Aq+8tyV2Irng4UJ7mz3eGlJ2Ai4KYDPlrxjPPI0/tIAp1TSjy+YUF5LR29JXJn30Slrv5qHy8GLBtYhnmAKTXX40a53K9VaoIrjo71MaI2lBTJFG+V9ocXXkeC1a2qzISPuJqyjyZyk6Z+2/0BK1Rjwy6hL88diKKG46/bu/JRM3D5wbtk+SNrY3WcsF4Is1q4na95ScS3r5xIfON2dgVFK/Htu5tfkwnP7YHAJq9/KqQ+hya2PKPK6oOoRxaen4rGYj2jzdQmhZAySpiS+uwd7WMnR1U15BiEeYmmBDn/RO6CjuKprTrUWjzQKHN0Y5Unm7eB7f1ZXhigFjwxZBfz+8Ha8W7RE51BwCXjX7EJilJFIC+mw8pOgqaZSrVHj/9F48PfGSqHOMT+0bk4stFdzSq9To6PbB7QQ08TyLogLQOyX7cc/IaUySU27fVoYiI8F9JGSj4hmm+fL0CXi0fsF7/4OND49mqHkmyxpP5pToX4J6UaziY7wQDQjjw3Pwu9U42FKDXc1n4GVZjVAE+fK+JRk6dRcHt4UEvXtYWNg1UNtC/CuNQY2ZA3uXCJZjsbCFYXyvMce86owzS3QemZKPysMxgEGqJvKJ8Ovjpfhk71GUNrVCreZgSTSgk3NCo1djbkF/3DB2PL665Ua8d/AQHv9+S1jRJI6FyJWfdwKQEwb0wT2zZ+Iv+7agxSVypqnrqM9saibrSHbP1Cmo6+jGhpOljGZjVGlx+ZiRmJHbF3a7FzabC/tP1YIjjyHt4wuwSqWuNCEX4FhLE4pbm9m7NTAjFW8tuxIGTo3slAR8X3waxcubhARg5nEMR13MY64Biuob8PS+nUFqV/iYEfQ+xGUTBbfmhOJXUuQh+Oi6xTaowysHS+BeiDII5/34mivQPzUVczLzcffjn6Hb74GfEgj9PFQ8B68eSM+woI13w8NTzdBoIDC+Xy7uPEdIeiT7/nA5A/fs+mQcehp/qF7AfS9+ifV/vRWzhvVnHwKx1KfaGLVkyKxWFx7/2zohyVzh8d934AxWrT2EpCG9kyxkURyWZMpFRV2YJ1xGLZk9pD9evvYiPL72eyY3yvreyyPFaMAvL5yDSyaMxI8xei92l1Xhi73FqG3rYmPg8NxMjMnIwLvvboem3QU1UTFNKvjJE85oifFHfpZHQdx4p8B519uUnyEG6GcNx/lTQ7VSUpJMGD4gCydON0Xr4EtRFlpYaThodWp4PbHpiczpogsfiPVdfrjSYt9jegbOnzSMRXpW7jgW9uyEHZsHzhk3KOr7PtkpaDvhYMIUVHGYFHxoUaZ2B1j+AL3Dyi4iMeE41rsmhpbomRGH6zDr7HZCq9dgw56TqGxsh1Gvw/zCQRg9ICeuQ+Ws/c/aWYrO/7Cd32c80vQJ+Ff5ZhzqqGTfEW3h0rzJuGXgXCRoBb03p8+Dbp8TSVojJqYOwqH20xGrcB4+pbhxhJGH36Am6owefxwZ0nePZ2fs9dBwavh4f8zBpoO8pXFimwaNH6+eXhEqtiXzMBu1pMcOaLRauFw003BIT7SiIKs9ypNi0HnRL7UDZS1p8PRADWH5Ct7wMOqrxXvxctHusK0kI5BPoD6gDrAETZ1BAPsUddjRFK7UIdnolFyMTM7Bqa4mRboVeWQuKxiPE80tgN0AJMUP61KCrtvvwbH2RkzOFJQOJHOJ5dwlY6ooEl1F7CcnITpKWtVF0I564s0SuNeEe+sFL6GKFeuK9ZiwqIfkLY2aRoUT6oweeJwaBGTJx+zuBNR46fAuuHk/OA15eEUPaTDDRPy3WlJ3EUCarl4Nd7KfUXai2sXQJZUclSU6I4ASWzOeP7qDVSme33cQo46x/g4EUNTUCJvHi/4pyeibmIQL+g3DybaWmFWFqUKxxHVVewRvYTCxU0wETTMZMSVfiI4ReHtoxdfYUFQSTJIka7cLvBtvEo/l9mKmWvSPRYux7lRJ2O1yZwagrYq9YiMQ4Mzg8d6xIygwpmB8ci6O1TahpdseBPYpRiN+NXsmrhojyNk9uWQhK0J19HQd/rZyK1a2CzrabNsUIyb074PspAR0qtz4vPxEGBCX2l/Z3oE/b96CL29axsYRKt7D/k5r9MihKEjcBd7de5i9K7HlNnvHqg9SiYyAh3TebSHwwfYmASe9wMVmfHWSLCTPfQS+sovVqQcVZOCTZ27CF98exaYdJ2F3epCfm4rLFo7F/GlDUdXaiV9+vB6lja1h9LeFowfjicsXhXHhP/jmQNi9lht912lzYuP+Elw8Q+CmkxOhp3Sgjd8Vw+v1xew3+n7l6oO463eLeuy7YB/Feaamjwh3/swdNoAB/fe+2I1Na46iuZbEB9z4uPg7OC7pwpVXToFW29NVhIzoRb/6cD1bGAb163mg6lA9ttcLrmTpaFpHAH4tB2emNhhJ6ck0DkGv3WPmWIKo9FRJVLJFM4bht3csDG5/uLwOH20+hJNUK4Jx5yPAPVHG/AIdyJxogMvkhaqBItDRRk00pBjhVpHCHYeJY/PRXNmB2po2eJLUQoGziOughXpBZgrOnTAUY/vn4stdxQjwpBaHqO3SEs1YPDGkoiTZhYvH4WhxLTRUz4JoNgrPHlG9aJEZ1eZeUuLYojDiWveVVuP5p3ew54aul7778JuDmDQsD8/cdSESTD0nAP9vG3eWonPW/jtsavog9iE+OgH5VL2ZSVKSVdqa8Wb59/i+qZhNilQ8Z3JQ/zw0ESbpnOh09UAKhqD1fUneTFyRNxuZhnB+ZIWtGZ9X7caullJ2rvGp/XBVwXToVUQL6ilZKb7L2KJ3xj2GXuOD0eCB3WZgsYy8DEGWLUahRGQlWHHGGUurUGoTjzp3NSpsOThhLcO3jTtxxtqEYXlqtHZb0NZtBh9RJpD3qxjQ1RlD0pZksSITBGyen3I5lm19F60uWxAUSgBtVHIufj16AZ7duZPRVLxtBujSXUoMAPgdGgaoqStt3lAuAmnSbzxTzkraU0IlAXsG7qVEUOmEcvOowOsjgLnYqCC/mLVf+IXRcuTVOYMdQuo7KmgUvPgCBxMsL0Kf6GKKQaFCYyT5FmBypvRPXbITrmZzOG2M8+NEfYfgVqCFFQF2WWIlqRIJoy5pekt8UIH/oarXIpDlAwwRs5KbA9p0At+cjmHwg0/ysYnpn0WCRKVJo8Uvx86G0afH83v2oNkRUgmZmZ+PX0ybgST9fkbfirzv9P5YtDpcMX4U3t97JNSmiO751bxZQW/sp/uO4asiQUZUDvikBYy2S6AeBUzALzd9hSytJURnVvFw9SGdbUDXJusDWcTDlc5jLb2z4l4U/TNo1PjTgvlI0hmQbDBgan5emHdYr9Fgf2kNfvHW2qiFX4fNiW+LyvGX687F68UHY64NqW9ONDVjX3UtphTkYeLAvshKsaDOTUhbYQfx0WjqsMGfIIt6iN/LH8wkgw5WRzgIUSLD0cJQo1bDbwgw/XdGnaLnkqJwYe4qUbQ7ol10P3MTQsWf0lMsuOOKGewTaQMyU/HFA9fhWE0jimsaodWoMX1wAfqmJoVtR+/r0dMNMTpAPK+Kw/5TNUGA3xsrK2/qsbJrY1M3RmVlwqjVMrWtWKZRqcB5laNgBCCH5WVi7IAQ3Uiy5Z/vxYdvbA1zDLW32/HO29tw9EgV/vLklb0G+S9+vQubj59mv0uXpO/wwyKCezLyQAuAmBbSPPStXrjSBZAfc+SXKtayRFfAZQBcKUJUJ1VvwLJFE9iCLS8nNP99suUw/rZ8i0Cn0gdAjyfvpfcr5ECRn69d7YUnSQWLQ8288tKw50nSwK9XISMjEffcPJclKeu0Gna/PR4ftm49hS/WH8RhdwdcYrSUZcjxPMYP7IOnb17C5EELslLw0r2X4MHX18Dm8rAFICc6JCha9vJ9l8KoQNGZN3sYvvqmCIeOVkfXgOA4TJ00ANnD0vHpN4fCI0u9uWGssRHjIRW56pOMf6zcHox4sDFO3OxgaS0een0dXv3FZb05w1n7b7azHvz/ZcoOfSQr7a7H7XvfYBVHJe8wFd7Z23qaedS1xFlgFRR5ZBptjLZCiafxyMkDLGm4d3BI8Uay7xuL8fsjn7LfpXN901CEr+uP4pp+U+MmAzO6AisEpPx3UvCR02xiGW2TmuJElrkrig8fdj4OSDLSoBeAz6+OSQ0hz/POjm04cPS7YH6SRkM6+X7kZ7QjI9GK0ros+GkWkV0N0U4E8CrKbnIqTEyPXTQrz5yC1fPvxGcVB7Gq6ig6PA70MSXjqv6FuLRgHPRqDWbk5ePdI4cBmw5unwqaRDdURqEgFk9KQN1a+JwaIJkmNx4vl3yPaVkFTB/5+i9XoLilmQE38dKg4lXgPQHweqVOF2ck8mRHFj6h83kkvj0v0JLiJBmzMDMV5AouCMTvxX87ugzsOBpWuVf0LopILCwaoOWh0gVELz797odaA3Q7fQLQo+JArBJkaNEa1MlP8cKdw0Nl5aCrp0q3HDQOFbgzevCkeW8KMK4tRV0oKhBsO9UkoEq4EV3g8Hrx+M7NAFWlFRNPpYvdXVODoqZVeHjeXDy27zvYvB7W7yyawfNIM5iYZOn9X61HQM+zqp5y+gf9TEwyYMlwgV/fZLPi+V27WVVPWgSQtz8SmtC/NQ5qRwAwCxELyfsbEBcw1mF+GOtUMNSpGFVJ8pQ7swJwZYZfHy0yXX4//npwK7ZfcztSjdELfxoznl65JYxnH2lPr96KxoT45U4JKG4+XcEAPk32F08fhZe3CNSUeCYVBYroiGAUpFvmYZSD+uBPMX8gNzERMwrysLL4hPBsEye/x7OHjks0qlf278WVI0dhSHp6z/twHMbm57BPTOtNA3rbSNEoJ6S4qpGBsp68rKRac9OMQry6Za/i32n/66eOg87J4b1vDwZzBKRnLj8zBc/dtTQqultX14433hDyvyLBI/370KFKbNhwBBddNKHH63G4Pfh019Fw7zTPw9QYqk7hzFTDni2J2guDD3nQtd1En4p/fCmSw6hGLh4+PccoV+fNHIGbLp0atm1JTTMD92QM9Ko4ODPUMDYLBwmqyYjOJZ+Bg4doglRNOE8PV1oAGpufFbhi456KQ6PPhYdf38CUbV785aXIy0qBTqfBwoWj2If662hFA46eqWf9PnloPob2zQhr16Qhedj05B346sApFFc2MpA/fUQBZo0aELNAGH3/18cuw9sfbMfq9UfgdAmDhcmkwyUXFOLma2ew6NGGXSfQbQ8pLDF53B7keqUcAsnofadFbnl3l4AclXj7AR77TlbjeGUjRvbLxv8FDv5jjz2GP/0pXKI8KysLjY2Nitt/8cUXePXVV3HkyBG43W6MHDmSHePcc88NbvPuu+/i5ptvjtrX6XTCYBCr+vXCzgL8/xCjAeCxohVw+71RVByzzg6z1hMErTqxZGGawQGHLV4ojMPi3OiKc/WODjx85NOoJFoJ1H9SuQdjU/uizlWvXI2W4zE7awC2NlUohqTJk9sbIzCdYrIjwejqFd1Iz/lYzkG0yovQhpyULmjVAv0n/DzCT6PeyyIFlU3SwCoAXjLyRktG/plpGQMU29Dq7sKethK0urrQHejCufl9kW5IxLnZ45FtDHmI5vbrj/ykJNR1d8Pv0sBDJVFDJAPhh4XUD3ioNQGUWBvxScV+bD/ZiJOtglpCKDogbk+AlkCx3JMv7wWqNhsB8Fk5dHZtwsJQFRGpUOQ4u7Qwq/RwcU5WRIz62+vSwO3QMjlQtc4XlXegeCyKArBqtYA20cOuR6dWw+P3C3xgH4XVaSIWjuE38PBToSxxEeM383AO8kBlI+8jB41VDZVbBXUXZZQILjYvVZhVUXKnHzzReCKfDTqUVSMsfmRdLy1KaAHd7XbhoW82Mq19lQjaifM8Oj0LH593FV7cv0coykSLGrGyr7A/FccCOvxOrDp1HKdbO/D+0SPCfTOK5wqAaUqrxYiE3NR2Dh4DLZaopoN436SoCgc4+wbg7BMISmoGaABgSFdhYuV5tpD5rKQId48LccMlO17dhOqW6PoOcuu0uwS51B6MPNaNNitOtbfCH+NZjDRpSaQ8wVKUSkwAFhM/hW/FhaUK0AU4/Pnc+bh0/CjsqaphqjCxLUTPkJ+KrMlpx3uHD+PtQ4dwx8SJ+M3MWf82Z5hAz7D8TJTWtMTUwKfvxw2KTtqPRWW5/4VVON3ZhXhTObU7vW8iXt+8D+MLcnF54SisOFTMALwwRgo1CZaOG44HF81iYPC8ScPwxY4iVDS1I8Gox6IJQzF/3CB2DZG2fv3RIL0lln256mCvAH5xTRPTrZcbTWNal3BsR4Ya9lyF4ngqwJOigtbKM++8YiiUQGqoADXz3KspqZxywTYcZvdmyexQzsBn246GJUKT+Uwq2HM46KhKrUMo7lSQlwYuRYfjHa2yh5KDz0jFrFRhz6g0dza2dePuv63AiidvgkHmcad7MW5ALvvEM/LSXzpjNPv01vQ6De6+dR5uunYGzlS2sjYN7J8BvXh+qkXw5u+vxh9e34CTlULODOs+ipTGO7C4wJJs9NBcdAW86IwQBYg06tvNh8v/zwB8MgLp3377LSRTx8mt2bZtGxYuXIgnn3wSycnJrHDshRdeiL1792L8+PHB7RITE1FSIkSCJfsh4J7sLMD/DzAC2mvrdqLFU4FEAjkBFRxeSmBVIc1oh14teH4l04ijWYLOhUSdE90e6aaHo5dMgw9X5i8InoMVjeE4fFGzj004sZ5j8mAnaTJhTlDjlLWK/Vvuwbl70KVw+V3Yxnjq0YCDPOFeUvcRw5zkeVeqi0HbJRoc4t49T7Jet5bx5qlyKQEhoU94mPUepCfaYNR5oSbZx1iAk6NEXgdqW33w+TViki3NDtEe1r8e+Q7jU/PgpgHN40SW0YI19TvwVcMBoeqpNM8wz78Kb5ZvwtUFs3DP4MVMApS8L3cWTsLDm7+VAY4QzOGNBGTpvvLQ6qiiJ/B+yT5UVcWPnPCErQloRl1jiI8TBDcMYMp5pRwCPg4qJuupdD+En8kaC34+agoe2RZK/Ayj2igVlFIysbKQPtXJKv7ePXQ2So0ObDhdCth4aB1CHodEw1E7VFA7dPDmeJmXXnpAAwTiwcOfEhC8+k1aRslh8qtaHj6LqBKiNFuR156B+0juVwjkM1DmJyAjc98RKG5rxh92f4u9Z2pD1B3Raxx5qFf27kOjVVSUiqBJ+SwAZyXFiuh+I/CeajQip48Fh+oboqNi1D6DjI4Ul6IGbK2uUAT4rb0oXsQCClptkKOuZF7ej71ttXj7/YNC95FueA9scpbsrxeKdEU1OKwBoldRZGrRn7Uch5l98vG3yxYHK+NOK8jD4LS0KPWhsEMpdJV0OulevnHgAMvBuG5sKCn/x9r1Cyfg4X8JVcQVlZr0Wqbc0hsjcHSorA6E7rUsV0X5rtOYfFrnQOmW/YzKUZCejJeXLcXBqjo0dduQnmDGxeNGMC19yYiK8/tr5veqHZUVLXHBPXVjbS3lTdF4ouzNrWxqZ8WqSKpT8QAiiGeeeyUT3eheMy1wAR09xvJIITECZao5ka2ltv3ltY0YOSgHBblCnYrDp+sUk1lJicaVoWGKuESLee+JW3H1Ex/CH1HUNyzvI8LouE3tVmzaV9KrWgCHz9Thwy2HsbdUoNhMHNQX180txKTB4flYvTGjQYeRw5QXEAXZKXj/0WtxoqIRr67YgX1FVDNFDGhG1JaQfh8+LAcPXjUXNrsbfbKTYTRpseT+NxDUxYgx0dJtjadK9v+jaTQaZGf3bkHzz3/+M+zfBPRXr16NtWvXhgF8eqd6e8yY7fq39j5r/7bZfU48fvxVnLSegVG6G2qS1fPA5VNHgXu50fd9LZ1oc5nR5jTDx9yiVCnWj3SjHX8b/QA2NR7AuvqdKLfVsYmmMGUoKq3WmAmFZOSNONpRjW/mP4wjnWXY1nKESWfmmbJwbvYUtHva8Ujx0xiQokZtdxKcPkkqhodB62VJtD7mNRbOQbQaou1Qu+TXQiDbSJ5Xxo+J7cGnPztcOrg8wnl4jxoqtQ/981vZ4kHNlF1oIo2jby/rM7PBgy6HOirJNHg+AjIBP67a/A48TIidR5LJCYM2FCcOSY8KyIgWK59UbWN1DG4aMB+VHR340/ffCx5JqvCpE3mb5BE3+MHpRKlOKpLFCMQ86jqc4CAVNYsD8gkoRWAqUksYn9kHWh2HBns3o5bwLuBwe33YdgGPCmqtUmUfYVgPeDR4evZizO3TH68V70FtO3FSqF+FRGS2jVfF2hBPuYf+7qOIgsmL/NQE3DlkFi4rKERxWjO+OlHKKDfS9YRdGwnDNmrhzveErlHWzICFZ7UcdM1a+BMBX6KYGKBUIYm+cseJDMlmNGmREXYunsfq0ydg8Sp7TSRFIzo9q8zKhwAH+zsxgsRroMqZ8oJS0kJA5ecwu6Af7iycjCe3bMHnp4rgMf74ybHRplwhNj0xthqXZHTp8/sPwLqyUmXNbEpAN/M42dEc8gKqicIQgNolrzkb3kekbqM1quG3i6Ea4Q/K90UE5tLxvRoe37VU4uPiY7hnirBw6XA4Ma9/P1S0tDMPteD9F3JVYjG1wyj/sk1e3bcPy8aMYWMjGV334YYGNNltSDeZMCEnly3W49mJhmbUeawYPiYHxacaQK+XpHpD3kzKGfjnvRexZMdYRtdx4FQNapu78NmWIwJ9htanGRqYWnws1yDyjtj6qOGm2yqerLa9C48u/wZrfnkjUsTF0L9jRqOuRw8+0VAiwT2N56t2FuNfX+1FQ7ugwKPVqJhSk/yxCmgF1Rcv0V/kCa6RJhDXmYZ/gIYF8rBLf4rcVKJzRez+xTdHcfmS8axv65q7Qjk0MdbMUkQj2WIMJQT3MjmVtt9yqLxHgP/JtiN4auXmsGjC9hMV2FJ8Br9YOgs3zY+uAv3vmsPpYeBeaCfHcn7Y8Cn2BwP9FBE1qDBoYBZGDc1l93P9zhN488vdzOVPlEFhOyGRPXISZYpbuf++bOp/t3ExZgbpu+7u8AqAer2efZSsrKwMubm57O9TpkxhoH3AAGUWQKQFAgFYrVakpoYXSrTZbCgoKIDf78e4cePw+OOPhy0AemNnAf7/sv295B2UWAU1HflAQj9JiSYy1Ezm5dXQiSiC9iEwn2awM6+5MNcFoEMefnb4bcbnp9dR8qQfbC9htBudWguPXxP/4SfQmDKEfeT2URXJfKqg1/gxMLUdTq8GLp8WPp6DJyzTLdRyP426JNmpEkC106tFYeoAuFRd8AQ8LCohLVDCTeiB2ubwBGGiJPaG5x/LWHGqOH8XeM0+Bmp0Gioapnwu6Z6RJ55A/oeVW3BVwSx8cORIECQR9tQmecCZvcHtaVvp6qRrFHKVlO54RNv1PmiMgtuKwLbPrWZRnz9MOQfjMgSucFl3M4pa61H9jRWtGsF7y6kCSEih5GeiAWhEXCDGTzgeJi2Hl2ZcjZm5grzkU9OW4IE9K+AUSPxCKNqjhtemgadbB31ybIUgr1PLJu0RydlYt/BGFtUgG52ZhVHmTJzsaokxuApUInW3innsFTaAPzEAf2cA3mQpLi9DhHJT8txHmvS+RWbVyYwUaZxE0ZE8jizcINJpaB9SMQrw0BDIJQUXKfnVx7HE4YBR8PoTL18lqgNJpnJzOFPVBt0kNZ5YtBAPzpyBy776EFXWzuhFOF1P/JQb2G3Ki4OR+VnIz0hGTUtnzAVkisWIP50/H00r7SyRVtY9Qr0KnYBsIhORPck89G2cOPGHS1TScOClRVjAj9smTcD6EyVotvccTZCMgUsV8OyOnRiVlYUkrR63fPIF09MXIoTCC0UAmK0/JZWpWGs6pkse+neDzYrytjbGx99ccQaPbdmMGuIYi5ZjScDDs+dgyeDoQnStNjt+/vl6HKgWnCd0Sn8a8aK1SLZpYNYI0oFXzhmL3PTwxFy57SmuxOPvfcM8v6zPZVrovIZj3m2SPNQ4hcWM18zBlapCQBd+kQQSqdjVin1FuH3eZPxYsznd+Gr3SVTYu+OCe5J+nTM3WtnltXW78eaG8HwAry8QqiMhGXHf09VCobJY1fXkRtduFNRyojNbYjMrqF+2HivHpweKGJiS8hpEll2QBhZk4aiomq4W3x8tx7kTh2DfKQEQ99ZY8ckePNgldS14eqWQ3yCPJki/P7dmOwoH9sGYfnFyP36Eff7N4XB6krh4EnxMwshFzxxFSyYOFVTBCNi/tTo8z4b1vSiQEKYQRNKvGjXOnRz9XPzULC8vPIry6KOPMq58pBGgf//99zFkyBA0NTXhiSeewPTp03H8+HGkpfW80Hn22Wdht9tx5ZVXBr8bNmwY4+GPHj2aLTSef/55zJgxA0ePHsXgwYN7fQ1nAf7/olXbG3CoQ5CkkyWiB2cngRYjTJfysc8bUDPATAQHufykjnmDyYObBG/AEXY8+t1HyZMiXcao9TKNfOY9jjCi5ExJj9bclexo14kwbj557A0aHxodlmgXmawNRDkyqzQYkTAE5+dMx6H6VhxxVgGaJmgofk9e3whPPv3W3GGBw2liV0FAkSIMS/JHooJrg5dxVgSja+9pnqBxze7UI9mshZ0G+zgKFZLfj6IS8Y4bpOqAh9PvwYG2cnx3Jrxap9+hhsYsHEfSkGe1ASTAT/eSAFSPVCUeGpOPFa1h51b5Gf1lavIgBu4J2P/x8Boc7RAAWiANUHWZ2HUbTF42edE51WqBFsQSVaXIBy0YSAcSYDKh9+yhPA3ZU0T7UbJscgDuVgM8XQK3PtK8Tg3j7BMonJDZNwjuJatobu/xKlUuFfxK+R+i+VJk3mDWLWJkQ57s+0Oo1TEqDhNwG5ebjdpTMm8OTWiyx5RAI4H7oFKRCHDJ4yin8/jNwkdNnHzSeRQP8O2J03hh8y48uGAmUk0mrDz/Oty1eRX2NdUyFS1G8wkEoPWq4KUkXCUTz23rUl50seJFl83Ffa9HFC+S2a8umQOLXo+3r7oUnx4+hg8PHWXSmAatFkuGDsb6xlJYxarK4Z0EuNMDUDuE5GEuwDPA4DcFBG16sZ8uHD4MvlYfVh4ogodqLoTEbHo0epbe3HcAJ2uamdxn8LEkth5V7fXTZBbykJBcot/Uu2eAckK2VFbgtjVfRv2NFgD3bViHFxefj/OHDA1+T7STG99dwfqHNUP2nrh4HwzpGiy/+2qkWeIrnR0urcUDz6+KjpjIBxzifZs4pg3vsciqEisYHWftoZM/GOB7fD4WqSipbsZ9//gCVsrHIPqjhoOKNOYjtme4kFPhiivC6WDVzZ1R4F5OR6MFCmu/OE3Q4sVSF6MSa4QlVnoZD5+O4ddRZWIVq0ob3jAFahYH1DgEpacwT7zsJ8O74jtNv5Y1tOHBt9YiK9mCnNQEtDTTYidUyC2eNj+NGdQPs+97ieU9zBjdH8sWFGJ4v6zgNp9uOyzMAfLXWXZAAuHk4f+vBPgsMfpkbUytfca5p58BIDPFgnnjBqGyvj0K3MubK3n/hXsq3NSHr1sQN1r1U+Hg19TUMB68ZLG894sXLw7+ToB82rRpGDhwIN577z08+OCDcZvwySefsEUDUXQyM0PqCVOnTmUfyQjcFxYW4sUXX8QLL7zQ60s8C/D/F+1ARzFL6iMgGAnu5eb1q5gXOWSk966HWeumlNMwX0an2wRvQEnmUkChgYAKRq2bLRKI/uNkKjzhRtzma/pFy8ZJFnlsal+bywhKUYxvHO4ZdBnsdgP+H3tfAWdHebX/zHVdd43bxl1JCIEECQnubi1QaIEK1Gn7QWkLtLS4a3ASEiACMeK68U12k3X36zr/33nfmXvn6i79+rXQfw7c7O69c2feeceec85znnPLFyvZWqg737hBHHEQyFeL5DpI0oiCwBp9/XTKnfj0ZCVanXbkmiy4dOhojMnKw1+Pu7CmeUfI2aCZIMeHzUkCjrnLp0Nujo1lHQKuvppnhak/fZkM8smoSRgVIipNneJh0qC8iRSvs/D6Newnnxm6GulOKT354g5LhEoB7kPbpaY3PZVY23gUP9/7CXMyZCP1VX2qC65eA3RGnkEIfcbSOop9E4HPGssxM3sofrbnE65dHmc/KTVLwN7bZYTfqYWG6gm0lG0SmISmnCOn8/raEeNj5+obIe/4xpM9iqcsk7lTQyAqlIyNWAdJKQWdjKbDmjLFB860D0uHj4LbE8CXp6q4lGdUookKgEM0H8moyRMD93HCjAGZky8V3tIcv7F9P+6YMxVmvQ4ZBhPeO/calLc3YV3tCdb5elRGLj7bcwJrGyoRNMYhzUpFuyZ14l4Rs0cNxF9vW4JHP1iPxs5e/nwjOqBZh4umjsaC8TwyRIXQ10+ewF4yv5pA8LLnDiY+IAS6TCJ7yZKlSjNqNBicnoHP9ldQMB/qoACqVU52KiizKnQcdtXUQ/Qq7j4E7nlrgfBqJM9Z7RGg6xbhzo2MGkfHMwwaDUrT0vCDz1cppzLGHt64AQuHDGUqQmSfHz6OqvYocrZkBKC6nG68s7scd8+bkXgHAfztg80h+VnFjkf6riyqyhugsa3zWvJwh92oObTF47vHMX8giPe3HsBbm/ehtr0bgijC4FCxKLeUe4QjXwtzs48VrdJ7GjXJ6IowmfT41a8vwsCBkUowy7fyIt94IJLdbtyAwayBzqJFp50fPEcW7ZzsNMe/caspgyHtFm/kRDUtATizNSzirCMN+HCsJ4ZbH6Jnxfuc/ok6L+Ruuq3ddraAuSPAakhY9tNC2awkfSpEEa09Nu40AFiz8xhW7ziGh29dhEXTRmLr0Wp8uuMoqM1M1CUcPt+DIuPn/7NW09yFlVsPs6xQutWERdOG473le2Czu0MdnRMZ0bKeuuciFolfvulgwuMZGjKdj3RPDFItykQsnvXPNUH7tungp6SkRAD8/prZbGZAn2g7yezdd9/FLbfcgvfffx8LFvBayUSmUqkwZcqUPtcZbacB/n/QiEsc6UTGZRTy1CRpk0v0FjIC0zYC+Rovo73oBB1mZ52BN08dgsh44/GM3+goam+iZlMC4PHrQlQAitwTuP9Z2VKUpSUu8qEI/J6uAwwANtpS0OYwQ6sOIM2cXGKPhn6sqxV/33kktM8urw6t3VbkpNlCDzkqlKWFU7VWPDjiPhSbCjElN7YD73UDzsOerqPo8PSGQL5XclwI5MsmAz67R4fWXiuMRi90Wh/AAH4ikx5xjJLQd5tY5QN6gDkHE/Lzsaaykt3stSlupKbxuZGPH6NRabxw+9Tw+DQ8qu9WQWNXwc+KSqMAHEXZtUFoEjTOokXu3/4JvEQriiqipaJaY6obglSrkNAEoMvjxMbm4+jwJKZR0LpVhgCvmgyq4HfoOMCXgK8sv/fglLkYnhEJAMimDSzGpspTSRofgYPYJOMkupHaFIQgbZM1LKPaAK+KF2HLkTyqdyA50ngmOwJGQoqxH5PznWu2YF7RQJxROAAv7d+Dv+3dCmeQIo6K5aIuN9a3IJHvKF3SxMnX9oSdc9Iw31vbiDlDw+f5uKx89iKjngiHU1uhriRFIS6nKQNXoj6o3SrG509N0ePV7Xtx0bhRSDXG1g7MHT0Ic0YNxONrN+ON/eVw+33w+j14ZecefFB+CD84awaunTEhxKuWf2pVdM/QMqWeb2p0Plwxagz/vscbBmkuICCrDSUC90qgG1WBLKsLxXxdomyRrKipAXCUKHjZyiipIODSsjJUdnagpie5wlCb04FtdbWYU8qPz6cHjiZsbBWq3yg/mhTgN7b34GA8/XwZ4Ms646x7ciRAjaBIKCL6NCbS7+8PuL/v1U+x8WAV55TTNeXj7yvnk8CzvVDLpCe1riAKc9Nx1YVTMX/+KBgMsc5kfTvvTqvcFcVjjDkRvi4f/J0+GBXNrgJ+wE/1BPG6yYqAuTkyYMKWCAA6WwCOIi107PYa/1jQPiSzEMMv7nnIT1YC9fpensnQOUSQ+q9fzqLGrFDKCEgmg+Nfv/QFU2j75Vtr4te4yJk1aYXxaj/I8dh2tAbH6tug06gxu2wABuWFaSDkkD/53ia8tYbLocq27NPd7BgKWl6rklgnWYSmN8BUq8hqmjqTg3tpkgakpODOy+bgrGmxVLb/38zj8eDo0aOYM2dO0sj9zTffzH6ef/75fa6TjivJapLj8E3sNMD/D9pAc5HiQheSNKsCWmwWxplPNzmRqnczWoVKoajjF/3Y3XkAHqkdfGITGZWFzKjxY3ZxGQ53t7Mbx8TMgbi0ZBqGWJNXbs/Kmo4NrYfR7khBl4s/oSkS3Rc9hvZ0R2MLewgR8NVp/Bg3oI51q2XPNEUKtUCfh1+V/QxWLdF+4luGLgVPjr8Pr1SvxIbWPXD5RcbtT9FYMTI1Eyd6qxGAm0XK220WdFNnWQiwuwzIyrCxYluHW58Y3EuA2OXVMKWehPsl3ZipLmGotQDDUgpx/QQRn5O3rRKRUii1elfMjfw7cftp7qgQGU41u8lrHLyVfJAkCFn+GFBbfVCnRUbgo40UfzwuPSuI1Zu9TN9fNtK+l6NYCalG1PrclI5T9g7OuU6CwBnIV3M5SfpeSVo6qm2crjAppwB3jJmKs0vjcwWXThqJjSdOxZ9LCQkErP6ET1xGKUrlkfnQeIh6pAtCVAsIutXSQ4ykOglJBiFQQzHFOuRVl2XnoNHfiw6HM0TxoWOmUgvQqlV4at7iUNfR702aih2ttVhfFzV2cs4UY41suBRv8niRdHQbeIqSRxupj/x+1XqsPHAMfsaz4k3AVDK6UOwT7VZDZy8eXbMRT67fgn9cfiFmDY7s5+DwenHLxx9jZ2MDQKBRckRoHL02Dx75bCMDJzfMmhg5ZALDw8vw5qHyxAX6tF9K5pQ0z2VZOXhg+myuCpFmRVM3vx40Tg68qUaBDqYMwtlcsuMQXjWdj1QLIUd9ZWnEhJcDo4JQTQSXKSUlI5YsUwBhUuJ5YNZsbK3rB8daBMqbmjEsIxM1Td040tCaENzL1uNyR1B6SBmH1EUG5mdgYF4GumyuhNPIzkWVND9yHCIOG0WuL5fnjsZ0+bSxfe7Os59tw9c7q8gvV+5ifGPSkFwesknvw3nnJVYdSjHR/UeiqBH+V2YYKHNDNShy3Uvo0SdATUpBdpFpzitpbcS3N7UEGDiNGRY5ng4R6To9fnbHPPzu2S/4KSgBUopEs+M8KJfJxCbav37Ebxg9St8bFtvX9ATgz+AUoVCBquyQJqJPAfjTRxvjNoAMJYDlIJdawBllvBZKtoPVzfjxyyvR3GULSaE+/skmttwfbjiXyZ6+9vkuBu7JQsCcnrUevlWiWwXI4Yn3sJYeZDqXiBUr9+Hu7y+A2ajvs9DaoNfggz/d/L+Wm/22UXT6aw888ACTuSwpKUFrayvj4BNv/oYbbmCfP/jgg2hoaGA8fTIC9ddffz3j1RMNR9bLNxqNSE3ltTqkq0+fEd+e1kW0HAL4//jHP/BN7DTA/w/apAxKZUm5rSRG1x01cXL4VGi1W+Hzq5Fn7WXR+3BEP4gOXzuVyvW9YcWD1Kh1453Z9/RrvMd7m/GL/e/jeG8rRDEVbl+Yg0BZAa9fzQpf413nLBpqSMeu4+0hPewRRU3Q6zhoDQXYpF9aPC1Y3rgS15ZemXRMGfpUfH/wZajuBjZ0HWc3dKcniHp7C0TRCLczFf4oMETNwbp7TMhIczCw6HDrIjrcMoChyJZQYyyHRwuzPjZ6KT+kCAJS4fLPyi5lf08tKsI906fj+Yr1El81/vjp+0TdYQCfyShyUEJUeM7TlsaUnVhNSWkqTYD1IfD71NBo/RHSkcGAwHTtExlLP7s1MFt0fYIXeewEvM4sHYQXz1/KosHEtyeKRzJrVnUjmOuFqkUXlslUgHt/Jm/oFlPOIWUyVJL2eryux0w+VRtkzcQY/YgKUwPRC0qrUwdx0tUOh1sqWJfJtTRPohp/mXsepuTxQjPZqIkUncvK+RE1IpMv/cbUI6XDR9dDXnYML/rmVz/E4UYOJtnueTi/PGZepFS5DPTdPj++t2w5Vn7/epRmpLHPjzW34r41X+BYR3ssT5n0xlMBXZeIv67bgksnj2Z0IaWpO+gciqw/iBgDUQ7IL5MiyvS7vldAnsbAaCPL9h5AbkEKGlw2CNQAjMCEAwi6+T5RVoMdAkatilw9OZvzhw7Ch/sPh0Btn7PNotsiikQLRpcV4cuTVUwCtMBqxdVjx+GG8eNh1umQbUqiMETb4ToFeHLzVvaiQmlWqkKRlyTOcklGGou8vb5mD17+YidszjB1hjTx77xwZsLNyhF66jPAazr6biJG35lfNhhnj05ehFfV0I7XVuyIT08IIc34RsWyyWzh5OH44OuD/BwN7YhkKqJwASo7qUfFfpcyUDqSz7VRdhAQPETLSS6GQJ/ZulwYN7oIy/58Ez5cux97j9QxsDltbCkuWjAeXx2oxOG6luTALelGuNpM9OL63iB6S8lT52+QSlay1dA1TEXQ/A9JcUt2DlTSdSPdr2n8V8wJ0xtrWrtw+1MfMEeRTBlV//poNe59bjme/v5FDODHDF/RLZxRX70iL9CWQb7iXkadhUW/iP3l3Ok9a8owrN5+LOE+kaOxaMbI7x64/yfBfDyrr6/HVVddhfb2dmRnZzNgvn37dqaAQ9bU1ITa2nAQ4bnnnoPf78ddd93FXrKRQ0CFtWTd3d24/fbbGfgn0E/qOaSfP3XqN6utOQ3w/4NGlJgBhtE45T7Q57I86s4voi63CfmWnhhuuF4lIE2rR4/Pk+S8FZhcpQyotrUfwmrzUcwvGAatktwdZW+e3IY/HvpCuiJUCCgUWGSzu/VIN1NUKpIiQvtJr5+XXY4lxz9g75n0HqSxZeMbjW1960ZcUrQURnXy5g4P7v0Qm1o4N411A1XsvcHkhcuhQ4AAtGIO3KSpHxRg0vuYfv4tA89HqSkXA62Z+LKpAn85/GXMvlH9AkXyQ5HxUORejXk5Y3DL4LNRag4Xytw7cyZ2+/fjBBV4JTCaJw1rJqW4A8d7TDjVEA3xZT3Zt6SvafVKIirxaelY8OMRYAW1FNmKrVGg73s9Grxx9CD+MW8Jj8IlAPks0EMSmH41ilNT8Yd5C9DmcvAoq75veb5OjxOqrAD8JhdUXRq2b4wrbw0gmO7nnXLr9AhYSVKU2sFK0+IRWGSdhR2TPE/UWhFLB5Whq9eNTadqWFo8xrRBCIYAHK5o7obssIr4zeYvcfaAwTBoeEixwdaLyo5ODnIVYeqgnmQilUTvPgCDtIwcvaeH5JwhA1CYFsn3XHmgAgcbWiLeY86fW+JfSwV/ciRKiCP1uvi1N+BQ+6Cz0zUbZJHsvqhDbrsfXx2twuLxYd32jUdP4sPNB2HWquDKCzL6S5hKAmh7JWUoLXloHBQbKN4gCtjsq8Pcp15k5xQ54H46RQx8P8hhoduRihqeUXQxU6YRyrRBnkn6yZw5uKysDJ8ePMa6PffruczGJiDPZMGT553H3qL1ypKYshGdriglhTWli1gvASPpclJ+g/adXmqiPCToCUHruXLyWPz9ky145YtY0HXwZBPuf+ZTjBtawGg6fkFkFBUZGFMHZC3VhZKiSV+7SI6n2YhrZ0/ALXOnsIhrMvvr+5tYliZ6qb5OWTpPywYmz+5OGloEU4oONqJiCQk07Uky1pZge1K1P4vYB/ru4svG5RFx2U9eYYGFccMKcfd1czG1LJy5Wjx9FJ5ZuY0p28QNXBDopSh1oqAGnTNS46zQMFk0XBpvaJDJz8pQhopuX1KsKPRVSV6Xrmm1X8Qvrp+PATnhYN1rX+5mDn+8MdI9fm9VA97bWB7hRCYyut4EVxBBjRCmVQZEqJ3BUIMwGbDPHj8IQ4uzcbKBsvxRFDlBgEajxjWL+m509t9sy5YtS/q5DNpl27BB2V8mvj3xxBPs9b+10wD/P2x3Dl2Me/cfCslHJjKHpAHPTUSrwwKLLrLIi74+PiMHG1rqEqxFZDx+jSIa4fb78YPtH2CAJQOvnnEtCkyxcm5bWislcC9vRf4ZiWQoit/lMMKk98Igcfwp+nRGdhluHLQAgy35GJyagZM9nUgzO/uk9HiDPtQ4ajEiJTGvr6KnGV81x48wyMEJnd4PF4HIyE/h9WlgVPMMwgXFY2FWG/Fh9X6sqjsMs1oPp593X+XrEmBVZeJXZYuQazIw+dEcfTpzilK0Jpg0kVSfDo8dP9r5Po7YGkCSyn09qNgNNcUPdMWv1Be7dBAyJAFiIZlcZ5zvsicL/6K92wCD2cvmJJT9CQIelw4el5Y5Yp9UHcFlAybhvVPU1Ctmbex7ekGHGaNyMcySj6Wr3kCTg9MuRqRn43tjpmLJoFEJozp5xhTe+dFI9Axv7MO2Ts8KZlUOQCRJPGn4LEKeEQc4RM0DLZyhM6E4Lw0bTlXHWUiEkOJD0C53F45dIT1IO9wurKyswKUjRqPVYcdFH72FDpczankuBRkwBqF2SQXT9OCX6T7xxkr7wpoYc8CbY7Xgt4tji6w+2HMoRoObb5FH5Xhjrj7k+uw+VrtNGT7WMCuZ80F0ED0gOMAoS0r77fIvmdNNHXnNdSq2HKkEMboCKecEuHPgo9sHjZnkMa18LhjPXuKRhgAKOZyMmsOj4XlpFtx65lTMKRuAdw4cxLqqKlaoPrGgANdNGI+xUsOXvyw5F3d/uDJugifePBNQZv0IpGLhaHBPRu/9au6ZuOPT5WGqhJwRScCxZrxxHdURxDZ5Yv1GSgowtbgQFz2/Nu7QCCxRPYLFbABMKrhSePG9fFFS12QC/MVaC1p67EnrVVKNenz189ug7SNzRtbe48C2Q9V8/iUHkY5Rf5qP05ivXJBch7u6tQs2b5JrlElx0TERI+hpkcsoeI99PCSYKg8VgXsD8CKA7QersaX8FO64eCZuWcJVSFLMBjz5vcW49y8fI2iTegqQ1rtRBZ8euGTOGHy47VDinRIE6GzBPqk9wSRNyfgXJKcxGtwrn6bU3dsl4skn18AqaHHW7BHs3P1s97GkXHhyvoibH3ezEtWLxQOD3Fnh9DZJFpPmQksyt2Fq0+RJnB5EKkBP/fgS/ORvK3CgspFth853qtVItRjw6N2LUZrfd83Hd7HI9r/BTgP8/7CNSMvD7IyZ2NnzdUJaXI9HHyVnKTDd+WgLIICzcidiVMp4PHuCVGr4f/J3iK9v1noj1m3zcMehztGNmze/hVXnfI+BPKW9Wrkl4sHH1yayYtZCSw+MGh+rD6i386ZXdrcBdjdFykSsOOv7GJoSlge7uWwSfr51bWzb+gTW11Jrmg6z8cqtwuNGyFnRpYKoqjD67vTMYQwFLP3yBdQ5ukL7ybsKAMXmNDw09mzMyx8WMzeyUfOfV4/uweamagZi3KILXpUTWp2K0asSGZPKhAY3DpmBS0rG44efrMLxeuKyR42VtNZb9BDy3BGfKbOs8Z+DEv1FFBHwqRkVyWU3wEV4OxIAAQAASURBVO0gnjkfV4ApKfHlKFpK8oy7593NisA/qtnPoqhkTN9IDlipfdjVW8nUe3j/Ak7mruhqww83rcIXdRV4bOZ50Ks0qOvpYfNWkpbK+OwXlIzCH/avYeowMaPt0kBwqDkvO0SbUU5Y35LZtPgLB3czHr7OrEaAzsUAnSOSs6anxmS0s8nJt7Tf2xrrGMB/et8OBu4T1SUQwM+wGFhTrIbuXqjcXP8+9rrhfxP/nD3sPSJyLUYcrm5G7thIadrmnnDhOeNiyyl8ed/7aLjDtie3CqArtq8ia2mAdP7mplgipCJbO2yh64HWRZF3UqpRGkXgSRObdeylQL6Rv5fsYFkzDXjjykswNC87FHl+YM5s9iLz+QMRxYbUqIfoPQQSqU6FtPeTUWtEPbC/tQVPrP4a9y1KXPS2YNBgPH3+YqaDT02u2Pf7onRQ92TahoJaoddocPWUcbh3/ky8tXZvSDI1nhFg21JRDXeWzNJUcrb4741uOxODSmQEuM6fNDIuuKe527S/CrXNXYxLfebEIWjq7GXNsbh8qcxVE5kjpKOMQTg5GRqNXExM4H7OuPjNe1q67fhw+0F8eZC6m/dtbM4SAHyVN8hoJPSTosxcDSv+OeQzqyIcLBkEP/fRVkwYXoSJI4rg8wXw3oe7IXT4INPPWV2TLYgCnQXjs3Ow2qeCnZ4TypuLdPFRDUd0DQD95U2JHBNlX1hUP97+Sv8IUvYvcRJNZP0caD8efmIVSosyMbAkE25vghVLxjK1VHMSL4/AeliQMxpklCd5W6GfNBf0vnSvoOtwyQVhRy4jxYQXfn4FDp9sxpbyk4ymNWJALuZOHBxqCHbavp12GuB/C+yXY6/AP44b8EXLVxCjgGqvR49OZzRHVGRNq5TG+PRqI6ZmTIVerce8nHH4oG4jljdsZFewTuVDqs7NMgVE93H4dfBDHVo3AeSTtg5saqrEmQXhiDm9v6P9VNRNQ8TgtA4MSWuPuKEMSW9DrS0NNb0ZrElXkTkdrmAXRDEndBM+Z0AhlteqUWvn1JFkEEUraFFqLol4r8bRhCO9JxnYGJM2FHafp1+ugtx6R7kPBn0Q6ToLRhpGYeHnz8JJZGDFInL0vsHZg43NVTirgEdTDnTX4bOGA+jxOZFvTIMxaMWjuzdLijtKqo0W2gDp6PsTglJ673djL8OCfF4YN3Z0Ck56WuBvJ53FMA1EZfFDm+tkGuysoDmgYceG8eqjVHNiTUQwoILPrY2I6geiCzUlcwd8TE//DxOX4PZhc/B5wyGmi7+vqza0Z37pPGUOlJ6kKX3wuYhTz+2LU5X4suqv0NgN8Pr5kzzfasVtkyfj+gnj8eOx8/GH/bHRTVWXNnwI4u2TSw2BVG8S7Sk5AH4JVBHtiJwIHbCgcAh6HB4mc2jT2XGktzmRql7U+kSmQf/e0UNJi45JxuyK8eNw/9RZaLM72AO6qrsTj2/fiv3NTSGglKsyofeUIySRSVZR14Yfvfgp7lk8C7ecHeZYZlnNaCK5PbkjrkxVUsxLsiuIRa0VcILpVfe1w0HAqtfjzBGDQ29trqvp05NgoQSKBJqDEHpUXCpTjKIwxNl4t8sNW8AXQSshYLpsUzmWbdqPho4eBmJnlw1Eeq4Zn1Qc4wpFsv52PC6+VDTMGm9J3PQXN+3GpVPGoCST1yPEM5LBJKC/o6Ee66tO4pVde/uaLTYGrS3csfiJm87FfMlRI4lFRv2IUv9Rmod6JcQJPIRMC5gFHaOXxKNIELC/Zk5sVH3jvir87pXV6LG72fwRQP/zO+uRWmKJBPdsJ0ipR4QnDdBLYkIarYpJmdL3iJZz1dkTcdakoXGzcl8drMSPX1/Fxtef2h1mcYsbRUZ70vUGws4FcxqlqL9iUUEqfPWb4jvptM/U1IkA/svvbcW2vSflTURYR6cDf3xmDTvv9WYB3hRVWJ2Kbh29QVYXEE1/o/PKnaaKUevxG0Wm6EPzRKA7IjahoXUmr9ShT8lxZZlSAB+u2ouf3rUQOalmtPYkVjaj82xIYRbrorz9cE3MuULOh643EtzTPpCD5DOR88+zXSa7iF8/cCHy8iIz+bQ/owfns9d/jYn/miLbb7OdBvjfErtr2BLcMngRNrftw8e1O1He1cii6/ElGgVkGsP8dVJvUQtq3D3kbgbuyXIMabhz6BJMzxqCJ4//Dana3ogbS5rOhTanmclvykZNddY3n4gA+Ly7XeQZX2zpxrB0Ithyo4ZZ7R4z7H4KYQgoSqOmQCI8cODXh59CviEbtw26BF+3f4HDvQdAzd3oRZxw6srL9zHytkc34jFpk2CQ+PfbWirxl2NvwC52s+0xLrkgotiYB5FBtcTRWGXnWOkdpJoDuKx4OjZWdeK3J9dDZ42UPlQaPbQ+qinH3SPPwO8PLcem1goWkWaUg4AK3d1SN5+IaeIr87n1sGkDsBqlzptR27hh4DyclReWvko3mKAvcEOd40TQoeVAxhCASh8GtXoNcOvgs/DnfZvYsdEosjLx95+aQCVrgRqxNLyCF0u/fBE3DpmGB8eezbILr1RuSfgN2ietwc+718rbID63V4WgBO7Jmmw2PLx+Pao6O/HwgrNYp88nDm1Em1uqUaB99UrHkTT4TQGIkj49e9+tZlKirLeZOn62iyxIGnYK15N+O25rw/pLb+UNn3aswlFbiyTzmYhHw521qflFcPi8cPqTyUPy7TTae9n6iXJDlp9qxezSUsbt7nK7cLCyCY8uWx+KhMsmg6K/fboF80YPxuB8Lnt3ycQyHGhsjogQRxYthiP0oZFQLYPkCDCur+ILRIVh3Pkku0G8+J+dNw8GbfjRQFQZnxnQKWQ945nfKvWj0IlQuXhX3wgXJIL/Et7mi9t2Y3h2FqwGPbw+P+5+9hPsOlEXWpZ1Ij14EuJB6prL+fsyDUjlCtNw5HUymoTiWmR/6wV8svcI7jk7cWErmyOVCjOLS6AVVP0C+BQZZc4EFcWLAkaXhjnqmSnUYC45WmASmEmWId/ARfcPlR49DjfX4afsSCCINKKe3HQh61CstD3H6vCTv68I1dDIYC+gEdHIGj7FjzRQhsdvALQu4KWfXRmxL0prau3Buyt2Y83GI7A7vAioRahSBPis7KbcDzAl8q620TSVAGBs98VQV4iT7snV8v1ggJ/oMJGR+5h5C4rYf6we5ftr8P6qPQkpTmzupcpikr/UOgLs+mGqQRT19oa73srjoXPNlUmOQCw1a9ywAjx82QK8/sVuLN9ymO9tqF8BRYASDjnuPmzdzR2Ty2aPwzOfbUt4rtCyF80YDcMcDa773ZvoJoUmxfwIfjGChkX0LFeuJkwzoii/RoTNrMLGU7WYNSO+M/ffZMJpis5p+3eaQa3H2XnTUZYyAkvXP82iotHuJAHLDL0e4zMy0er1QqfSsaj92blnI88Qe0Mmjnk6lffHsSyjA6OzG3GglSuFsDpGEiRWmEalxvCUPKagw2/IFL2PBPd1zrT4IF36p8Xdjt8feQZZemdk8a1KhBp+eAJq+IKaCKqJ3avHJYVL2HJvV+zFy/VvsAZYQQppydWtEFBpb0OWOYgWuzUuUKP1+X2cbCoX7E3PLcGjM8/EU/t2o7ytDYJWaoaU5H5GkeCH9n2EvV1V7G+ZEuR095WiFBm/nXUa1gQkug49NDR4fvrNGJ8eKYV2XuFYvHFyG9N3V6fEgko6/ufkl+H2sqnY3VqPDY2VTBZTfq7K3XxjjkVQiKIyxYv9SoWNlKpm1KwdKLGko9SSBrs/efEWo9ZqqQhMBRUVsFJanXCuUQ2xVwuQqo1kb5WXY+mokbh80ARcPGAcyjsbYPN5UGpJx9LKt+DSehHIkxwu2V+gwlpzAOjRINirhSqVxN/DoD5UT0DHIyoiSouc6u3Csa42aLwqGFxaNg+CgTj+iWMcqXo9Lhw6gtVZ0IuKViPWShKcrE07170+2N3IKErD0yPVcApTUtjr569/AU8Glw9k3W8pIePkXHw27yoBH2w9gOvOnowTHe3Iz0yBTq+Gm+Qz4x0uxj+W2GekUKKPkuhkEVGKZEsRfMr2OLmSSTyFIuoE+/tzFuDiSZGNasbm5MGbSpFVXngdDfJZAICigakE7CV9evk0i5E6iuUsbag6haveeA/Lrr8C723cj10n6hMCMl034KI6dul2Q/PIKCzJ0jHSupq6498H49mEggJkm01oi6pFiF4vo+hoAL8GrF4gJzVMbTp32gg89+m2hF+n4202aWHzJXfQPYEAgoEAO2+K0qw4Y8RAjB9QgLPGDIlLkXj2Y+6MR08hgfe+bnQU3b9t3pSE4L6iqgX3/PJdeBQZBaaW1ClCYxfhyJdaZUdRpZRJHBY5pvoML6D3CyxTtXDqcBxcX4lT/lZWSE9ZD/nntdfNwrSzh+OXb69GZVMHW4+WNOkTgeWgCEOnD4EqF+679014spJ5tfKcyHU+knqRXoCgEpiylM9PtSf8mUPZBEYNE1Sw6HWwUzExKaGp1CiiInm3iL8t34JhhdmM1x5jBPaTUeuiCnrlhltXz5uA1XsrcLKlM65k5U0LJjPpVbJZA4qxZvdx+KhGRnqoEq9fcUjgypHAfRzt5g+/PohhRdm4bG5iOdTT9t2w0xH8b5lRo6k6VwPmFKTiQHc1PAERHp+edWAlcDrYmo1/TLsKBabEqWalfdb0QUIeKF3PhdZeVHZShJKkEYMYlRZ7Yz+vaAhsdRWw6DxQQUSvzwB90Ad/UI0erwE+AnUxDw2J+y1FQhlo92tgVQovS6ZTBWDz6tlzgbj8nW4zhlpGoMSSjcruDjx+5CNYU2gfIpiDIfOLKtbV1+Wjbrrh/SRAn6ozo9RSjA6DCwVmKwZmBFHn24Ufl2/GrsoBjJPeH2oy2c72yogusmzbvnC0mOQp6XdS51GyHCnKT2P3+DXwSA+7YSm5MeCerCytEGfmjsDGlooYvXGK/FKW5dahZzDAecGQQdjrOMyiOvKSVEDNnBqWmZGAoyDgh2POZOB/gDUdzx/fjHL2oIyIS/Fl9QGmby/b8xVb8dC45F32Qs9IrQi19NQN0VhNAQgUiW/Tswi8PJ5lBw4wQEQRyUlZ4aZqs4aX4HPX0fCwEDlEMdXPOkAGXBqmtkMvMppzouZEIEjls8sH/OzNLxhAYBr5w6XOwboAWNeaCMRL9SUavHzexTBpeY3KhUNG4JMTRySaDj3Ro57SAnDS3okLV76GVxdcjhn5YWoZgeJHNm7CIXQA5vAQCUwRgDC2UI2AAJ8QxIenjuLF5/aFnGM1SXwmTjIwwEDniVzIGnFMpEJWluXxCqwhl0CqNX5KzUuyfNJ2KAl039xZWH7qGP64czPr8Hr+8OG4bvx4jMnJxaj8HFQEWqFr5zJ7Ed1qqRGfNQjrCTWjHvks9HcSHcuo9+n8rWzvwMs7dmPlJpLBjH9BykdW45KaIsnR0X7lpgSkm8mz6Z/ReXn75Cn4w1cb48uCSl1ZQ5r9ACp7O1m2Q+bDF2en4fIzx+Pd9fvjUip0Wg1mjRiEzw5XJC6glE43xvJRAXW2Xtj8XiyaQCdwrLV12bH/RGP8VbFbVZKZEgSm2uM0B/HYF5swqbQQc4cNZIWWZAQsf/HYcq5GoxivvEbKYhi6RLglJSTZAQrthhzJlp8NdP6rBSxdOA63LZiK4GVzsHNnFTasPwqnw4vConScd/54lJTwjNYHP7kOh2pbcLK5g1FuNuyojI1oiyJMTR5onJKHSapb39AYRUbhpDDqTVS0nvb/NxeeiYLcVDy/agcrcK33dLPjSM/C9Qd4ICjaGGVMosolGplWAuPkAI4dWch+Nxt0ePmHl+NvK77Gih1HQrTH3DQLbjlnKi6bHe590NLUA40jCDUxemTHRXG8AkYSBkg+L6+v24NLzxj73x3FF09TdE7bv9FImeXhwy9hV+dRRrshwGhSkVa9A6UaDe4cfBXm5g7v90XX7e1ArTP+jUY2uu7zLL041Z0FnUqDpaWRTVI2t+3AmraPkMaYMsSxBJpdVtYxVgmIqICXGmclHpoAV0ALqzZ+JNjh06PBnsZArE6twU/KuKzd60f3IsXqZJ17E62Xtp9n1sIg5uNwD3+4UXHnhcXjcfeI+cjQmxloeLrqZXzdvoNvz20Mad8zycc+p1RkcprkgEQzMo1GN0ymsHxmICDA5dLDxTrlEj1GgL/WxIsijQGo0r24YuDkhFv646TL8HD5CqxqKOd7KBW5ZRuseGzSZaxoeUfbSfy2fIWcyIh5WFCmIBhQs0DqQ+MW4trBYW73U8fXwmDxwOdVI8h4+Bwoq7UB1jBKac2uXnZe9GXMqYmj9x/KymR5IDYQ2uRZFKLpxDNzrgYg4Zt4x0NeFwXpid8aECDGFMoqayCkyLUfMNZrcDLIt0ngVH9KD88gD+t0S0BfJJDPmjSJmFlUyjTwUw162LxuWLR63DVpGj4/dRwevx8BcgzigG4G0twibn3/IywqHoZBmRm4dPxobKg+hZd28+Yz0T4qS/dnA4ZWoiHQ193fmAJKNJGIdYf+5G+Qeo5IeuIkk0qN81xc/YUizywDQEo3VuCxrV9HdGd9de9evF1ejgtHjUR9Vw8DPu58Kcro5tmHgImyBAIMbdQ7WnK2/omwEW3z7d0H4O5JLJ0rm7KQkZwkTZLkEqunJEpHMIjF40f0ayxHTjbjxRXb8fW+k8iQvu/OANyEM6XTjbIUcidd2TodLmw4dhJnl4V16H98+TzWgOiNtXtCGuZkg/Iz8fCNC6EzarDqUEXiwUj1BMp5WrHvKO5dOAs5ikJo2XplnfV4qwomiOArdNIDKhFvbOcOyStb9zCa2TPXLMHwvGzsKq9Gc2viLAitVWcT4U4XWfRbzuLQ+8QQlOsUoq+Zpz7fCoNOi+vnTsSMGUPZK+76BQFjSvPYa+awUmzZe4pRupQYX2MPQCuDe+bYU9idPI3kjk1E69l+YlrKLuw4WoftknqN7KQplaJiLmbWgI0X20aU20rfIb6/3COA1nfp+eGGcykmA35x5QL8cMkc1LR1QafRYFBeRkzHW7OZNxsLKRHJ25WG5NcnVWVg1tDeg8qGdgwtiu1Eftq+O3Y6gv8tsldOfordncdCiiVk8kPT5rdhY/sWzMvr30OKzB3o+2FJxiU6Bfx56lKk6sKhwFZ3O56ufC00BrondHkMceg4AouiO3xamLWx3VblG0si5Rz6XE+tDJnMZwl+Nvo8DE/lmYStTbUAq/dJFvMQ0Otz45Oz7kCLqxcOvwd5xlSYNGFp0fLuQyFwH96q9FtQhQB1B01YrMoLZZk8pMYPN+XjpT1KsbqgIcCnMAL6ZrMbanUAdjsnDItUHOpXQXRoEGg3wD9IC8QG8JkZ1Fr8z8RLcPeIs1gkn4peh1hzMDNnSEjF58XKzaGOwDGzIe0Dqf88MPocnF0Yec5k6s2odXTy4ljGcU/+RMs3pmJcehEOdTfE3R5lkQNJFGlCreDNfsCuZeOmQs54Vt7dlHQ4IdlIosbIcpThT9n/BqsHKk0Q7l49y57oetQsQi5nRNiZ5FFBX2FAMC2AQGoAwwoyMC2/BJcPHIdPTh7GhWteRJefF7UVmFJwy7DpeGfx5fjhl5/hlCe2URSNQ9umgcqrgg9BrOzhoO2vG7cyXfB4z3p5yFQ06k2P01GTUXCkbzEkHvt1dm0qfe1E8yY968P+BfUx4L/7DWLISVBGROlYu/x+lm2J2Aadd0ZO9aFYrbmOI7dwMa8MXr5ZJK3L7iLl1L4XV6yYnI5AAjWdkKunBRaNHoqRBeEeFYls874qJgmonAfmILZSDQLgyJd0xOMUxlLU/2hjWwTAp0j9nUtm4vpzJmHH0Vq02Gxo9bpQ19KJR95aCx00mJFbiK3N9WzZcPdRGRlH/sn2WRTx9fFqXDx5dMwYctItLPIbLyOgoYZihkj6DNUvKDsC0ykYDAR55oc6qPfacMMrH2DlD65HRWVLwnWH5orW6ZPkVqX1ytH7ZPbs6u24YuZY6BW1H8ksO92Cx3+0FPc/8Qk8Piry52PS9/qjznNyRAPwm+MU7SjmIeJp1p/qewCleel47GPqTJvE2DGMAtNUJ0MKTATkJa1/4vqTUg+9J8/xzVfOxMQxkSITZBajHmUlifsRzJ81Ajv3VcetsYiu2Ulmv37mc7z5u+v67KvwXTXhNAf/tP27zOF3Y2XTloSSagT4t3YcRLOrA3lGnrLsy9J0mVALpLaS+I5Fl26eIRe/P/MmjMvg6UDZ1rZsivjbzZRbEhVr8oYsviB1Mo13FyH6Rvy7C4HWhfkTcP6ki1FizowTXEncMVI2WvMpew2+bN2AU45qpsAzKWM85mXPgVVrxbrWTSwrIjtOFqMHKoEUhfiTx+/SQmv2SYTeSOlJrTrAtP3l99SCiIDI4QyT4IyeCWmsRqMPHo8WPp8GvmwftE0E9PiHD69ejyFZmZg+IExPiTaiYV01cFrM+96An0Xwkz1YaE5n5g2IAfdkF5WOx97OOv7sIaUMpwaiR9Jw1wehMvlDkXyTWosBlkw8PP5CXLv5ZTgDngiQH/617yyIoOMQmwDK4hHxHdVEcqcx66JtsdoJqVste1OE3uyBhrYjAsZUN9zdJmh7pUyNFDGXCzKZ9KRXDVWrGikqM26cMxVLV70Km4brjsv70+joxe/2r8GiohF4ZtFiLFrxSsx4tO0aCFLn4WiOel8ca0bBIEnNeACelDeIQy8jpXhMuP/F81dMQO+JN8YIyhNBe+L4O4l+FsnLD2jJUU5S9B4qfhYiONr0LqMOSQXCJMUZb3dDXVKlN0h7/7zSYVi790Rkh2Gm781/z7SYQlr4iczl8eGXz34eo34SoqB4AGMH0aoSBSpE6BLIBtJYVjVX4tNjx8Jj1HKnwVRFAQ7AQ7c+deych8Cxor8bgdp4ZjUZsGDKcKzbFUv7ITCv8khdTKX9iQG3tJxU+kU8eWK9dXndeHzdFozWpPUvu/RPnKPU6XjHiVqcMSq+DGc8mzKqBJ/85Vas2HgIOw5XIxAQUd1bB1sm1bkIrHkTKfJoe/ycO2+Qinakc4B+pKea0NPtZFr6spNATEvW7ZVpBsQOnAD4sOIciCoBNlffjaVijJwgdn6L0HkF6DVqjB9WiKMnmtm5N25UIS67YBImjws360p2zpLqFIF+GYifNWcEXnt/G1rbeiPPAYlzT9v1RUl8Ro6PRwMqa9ux83ANpo8ZgP9KE09TdE7bv8kqbDWMotOXlXef6DfAN6iNGJs6FXu7tiZogMTP8fwUVQy452OqCgFiMheLXCc3X1AdBfAp5c8jfaSXH8+o9+xFxRcgzxC7X2cUDsRnbSegNyRXMbFo9PjV4d9FgPiTjlNY2fg5fjriftQ7GyP2hQp8c9N70NSZCqvZg/RUO/Q6KhIVWNfaHpeBRfYtZjcrjo0sDg6yiDU5CMkynfSZweCFj+aNBHGoE62Ch/7Ctl1JAX4i84l9d/Kkh9X25lr8yLYSw9Oyceng0cgycuLyBcVj8HrVDhxv7YC/g/gbiu951AjatFBneKAxiLhswAS4Ah5kGSx4Z84tuGv7e6h2toWcHdLQD1IRc1QWI5HRflP32wuGx+cQT84uQo2tK6EkZUzTJ+Zlxc9i0LuDs81oPO5FQBeEn5oJEVb2CqDGxkFj2HHc7mnEWW+9DDHdxfFINOoh6c/6YxiXHnud0PpUkoMU+2GCiejncryFPRUUKkC+4jvUvdPVD2mOhBFUSY2m7xXE+SqxH7SxINebKULlCTI+ftyCXMnRYsBeuuXJFI6Ifn5MppCrushDoLGS8oxyXGePGIKHzp2PdRVVCHr4tcH2V7HPb28rx6QBhVg0Nv55R7Zm+zE43YmdMeZT2kn/PP5FT2Bq3ohYgEq0ruvf/wCHWlsjOeNUc5TKKVbWasDULMKZyznfMRsm3rZCNWlAFq/B2lfVgHc27sf+qgYm1XrG6EG44Iwy7DhcA5vTHQHwaDr0PcCoiQXYX9MYA+6Vm6OEKuktMPlEH/DJzsPInjYxboGnbLIDzYpQVZEZs/6YzdWHIxzHSKP9xsVTcfWiifjx31egK51OJH58WAbKoIInXQNzrQeiK4CASQ21QYMBA7Jx7rwynHfmaJw41YonnluLU3W8gJcsX2dCjyEAlzdSnpT2y2TQ4Tc3L0Rvf8A90dmYqpPIM09U70K1Dm4RKVo9Fp05CleePwn5ObENJpPZrmN1ePmzndh5lEsXZ6WaccWZ43HNORNh0Gvx6M8vxoP/8zEam7uhVnPdLqa8lGHGT+48Bw+9tZo5VYkeXnTMqfbiq50nMHlkMTbvrsKxymbWuXb6hAEYPazgv5uf/19ipyk63xKjAtf+WDJo5w8GsLHlBNY2HmFdWKkgN81QwNRnVFKhq2zyc8bmN6DdW412Twey9JEAm8ByxBj7DMVwMK/cBjkFPR4TA/h+gx0Gs4+Ba+V3ZmbOQZ4hvr7udSMm4O0TO5Cb15F0u2oVF3BWgngCE66AG3+qeBKp2ljnoSS7AwajF0ZjpE69TuNEqskFu4fLfkZsSe4IKAem+qCThOg7BIYMnLtMRg+fLadq2QM/XndNpbXY7ajq6oRRq8GYnDyY1DpGm2ly9ST8Dq3/VHcPjrceYftGkpqPzlyESwePYRSgR8ZdhAuXvSWdCNGcKhGBTj2KBqqwueMg3l/3NXtb709Fq50cLa4KpFTrYVGvJGl4lolxqTEqJwfPLrmQNQSKZ9cNm4T3qg4kXU8y5UG5DkJeVtD5ERgQgNtIaEX+QGqy4ya0GN53P528XXqo092M5x/PqMvxoJQMnOrtDK1O5YqNYsdEiZJfNkzBJq5TI8tBaoBCYwpsHg8r5CQpznNHDcONUyfigrfeZBKkybbBADX+xUZRTzZP4TUT+CZKDEnuwcmjxuFdIRlF6ngbhOCnol8+Ywzcy02Flabi1CW63oheQtsirXa+Q3yztP7LR5QxCUxSukrkrNA19vqWfUkB/om6NgZqCAgl3GUpuxC9HXJcpw0uxoj8WM7yyooKHGhpSbBCqmMAfCk8mq91cNAf2sdgFNVF4tKbNVq8tHonnvp0SwRt5sMtB/DR5gOYNbgEe4/UIxjglBVaQUlBOu68eBbmTx6GC373CuraJdH7OEbfIX1/iTnJ7LU1e1GcbUZvhzMu0KcxulMEVkc1a/gA5KdY8cGWgxzcom8rkZyWf8aeX74N2w5JnVzl+2moKzDgLNTBWuOB2h3EhddOwD13nhP67oTRxXjtbzcxoN/S1ou0VBMys614Y/1efLmzAl1d1HWdZ2cumFWGGxZNQWF2Kovea9Uq+JKcL6xwmRSBpPtjbkYKXvv1NUiz9idtFt9Wbj2CX7+yOoI6Qx2Kn1m+FZsPnMSI7Ex8tukwvF4/BJ3Axj1iUC4uWTQBZ0wfykD63zPNuOGxd2Ibe9F4qbMxyZgKIk6easW51/8dLrcXAhVbC8CrH27HqCF5ePQnS5GZHt2j5ztk4ukI/mn7N9lQa3HSjqyyjUqJTZf5g3581fI1frNvI7qZbi+HG181V7AbU0lKDopTOmBQhYtgSfnG4dfDJz2pen32GIA/Lr0Mx2yVoagbUVN4BCoRVCCwyrvP0PY5uOc3Mvq71W1Br0+P4WmtDOSroMa8nAW4pOiqhPs7ICUdf5l1MX6x922kpBInOnb7qVoNUqmZVNwRibD77RhhHY5aZ30EBcoHDcsMUNReiJZ8VImwGjxM3Ue5PXrAp2g18GjccFNn2G+kvx9pNJfJAH6jrRe/2fgV1p2qCo0622TC3VOm46qBU/HEkXVxKV0yTnRT4aj0B23nx1s+Y3zymfmlWFFRkUTTnIe/mztdMGS4Qzz7VjuhNe7kxYhXEAc/Qb979twgQNejRmfAiVMdXcizkqxprI3OzMOvJi/Aw7vXRQvb8GGxkoF44+aN05QKQLTdU+0u1lFV3q2Q0WEz+iF0a6DvVDFFFCb1aAV8Og3UKfGzaZW2dvxu/GL8aPNK5aYTGitqlbS74003HftMkwlzSkux4sjRhCCfHPvHLzkP4wtiHeFfzJ2Lu1auTKh8yqLkaiEuV5245FSIyG4DCU4HRsdJ1NY1kVgOjdlM9B+S/ePnk6gOhpsIUVST2hDI6i6J6EfUrCwVIUUQOk5U30+nGqnpUKFrZ68T+6SIdCKj8/9AXVNSmg7xv/vTp0nu4cWSBBK4Hluch79ceX7c5d87eChxDQZbIeBJ59F1dh6mKo5b7HSwXz7bX4FlX/JiWGWEOeAPQusEtu6vjqznpvuWQY/po/nzo8ueRP5T8Z3o9+rULqSnaOC3+ZiTrOy9Ro4aFYkaXCLKpmTiugunYveJOlYQGhpigmtgYG4GRpeEO55/E3N7ffjgq/KE6ku8ZkQNn0EFVVDEOxUVuM4+B+mWMMimc2LYoFz22nCwCjf94YNw4y46hwUBXpWImeMHMnD/9e4qvPbxDgTtAakvQ4IUueSghe6hnTa88MlW/Pi6s/6pfaVz/Xev8waB0U4WFZIfOdSACrFBittwB9wpBrC3qhGlx7IwfzanRo4emIccjQntTifrPs0ym4yaRJk3XkdDNKWKQwpFpqCUk1ELqDjZgnt/9z5efew65jCctm+n9VH6ctr+XZaqteDMnEkxTXBkU0OFMamDMcAc+YD3Br144vif8fO9q9HtlQtzpciFFDlxetUwCR5YVG6oEUC314BunzkE7skydLHRk7NyZjGdfRkIGlg4J3koMlUrotdrRKvTwiL30QxPT0CPbO1s3DjgDjw27ilcXnwta9IVbXSzPtRdj00tFRickYKPzroXZYZxEBSdekxqPa4pnQ+rjqQPk0TdpEdjqjYllJXodetR15OGpl56paLFZmWNxZS66gTyNRJoZWA9KEKr9sMruliTLVnTPpm5PRKHgaKNHoWjQFKZ2Zm8cU0ca3XYcdF7b+Or6kiufZvTid9sXYt3jx0KawRGzJu0XaeyEy43ekg9fYjrcq89WZW0MyuZjxptRciBJjbeGVfi9oYiQtK+0vv1BgiiCq12B25Z9jH21ceX8iO7acQUvHvOtcgMmnmknYCEXQVNs4RCY4YtFdgRYFfscsCnAgmXJCpuZRQXVxCGdk690PYC5gYVrAd1EFzxz3NSFLpocBkemDCHc2kJ/FJxdpLrggE1iUWjXIrmyaTV4vmlS3DXjGkJzyTWak4NrKyKr7Zy7rBhuHf6DMUXZGqEyKNxMg1GD/iMRBVQOEHkovqSUISk/+J+Tm8TzqNTTRo9K9pUAlPiwetFlr2iyL487yrpXAklBZP5mkT70PNoMoFgYyfvuCpz9FNNBu4k91UDEmcBAkkddid6XW6cMWFwSHc8/lyQAgkgmgXkZVhZMe3SCWV48aaL8cZtVyDVyJvyKW3DkZMor2/qsxBTpjqFQLlCgSYOWwzv7DoQmzFjeueJna4jp1rw9Ac8G5eZYv5G0U1Rao5EEovtGUH0lqphL1LBa+a3IfqMUYukDq6frDsgSTtegQXjhkEts8iiJoKOG2VNfnP5gn+a8lHV0AFHEmoV364IX5oaXSMNcMKPh5ethdMTS/usbevG/a+sZFmcsBoOry+j9+5/4VPc9Pu3cd9fP8Gh6mZoHPwak6I5EdujfSWFJ+VekdOwYvNh5pQkH66I3VX1+PnbX+CGp97FD19ZgXUHTmDFlsMJaVIcmCfOcH785QEcruRdtWmurzxnAjR+gVHgyCnUOEX+kwp+mepW+LsR52BAZI4kUZo270qu0vddKLIV4rz+W+w0RedbZHcOuRjVjiZU2evZ3+Ggh4AsfRruGHwemt31SNdmQS91eP2o/n3sbK+GwxdbVa8RAlhQcAyl1nAEhS7UEkMnatyZaPakMsA7Nm0U0nQ8L9zm7sHKxl2otrfCoNbhgvzFWNm0Ap6gF3qVHy5BwxRz4j1CRqaUYEJaGV6qXB+j4S4bAYHdHa34/bhboUpQiLeh+Sj+eGQl2j2doWZagy35+Nno8zEp41q0eXrgC/pZt17Kemzq+KjPuaXlfjXqAfyp4u/Y3+5Au4sk5hSRL1FAr9sAr1+DDBNvyEU3SgL4voCadd01UR9wRbBGK30WL/zIgjdBgRXZ8qcjILjC+0tv3TA1LIEWbU/t2o4OlzMGhAtGP9SpXlS5OA+eJNLUalJB4p+T7KXbrWESmdFG6/q6qQZuP8l99qOlYsTzqu+HL1MjalVjwsA87Gtt4OFZhwawq0OqI/JD84mNW/H6NZcmXNfUnGI8WDYfv/yYR6tkU7lV8OX4ETQquMUqETqDH+qoOgDmlCQrkiAOdHYQprooR8gHGMsNcE51ceeCuueSL2UM4rzikWyZc0qG4aMTR1DV0wkYSCaWP9DjgUjad1LJ0AkaDC3MwqmuTpi1OlwwYjhumDgBBSkpONHZAZ8uyAEyNSuTKD8yuBe1It4+XI4fTpsJi05JQud278wZuHDEcPxp89fY08idp6F5Gei0OVFZ3xVBB2HqN37SspckLWncHkDUK05ltjsSUox3uUsAkKLznlSRA24CGNQioEOAOyexU8Cimn3FCqK/lsC/tBh0mDFqAFo9Dqw5dCLx9yVevsvnh0mnZTSn17/eize37EdrL++kPKogm9FYGpq5nnlcCkoGML6kAM9eviQuoFfap3uO4Gfvr4Y/jXURS5b45JQIWfJUnqNEK6ZOthRNjUqaEXUoQRKNGQHD5RsP4fuXzMbF00fjyU83J85YSBFdaXh8XFHeBqO+5Kqh7wpCxwWnQmZzuGF3enDkcAM09R6MCaTAaxBgM4uo6wlLbU4fWox7L5iNUUX/XPS+v0a3H2euFkEmEQl8dagKV/z5Tbx092URzcne/ZpnAmKmJcibxgnBIA6eamY1VUGZU28TmRKW30ARc34fIKeaAW55+0RNo67FWsAj+HHln97G9fMnYvHUUaG+CbKRk/mLd1Zj1Z5jIfoVOUJfHaxCGp1zsiQWZaMUGQImvamgkEbsP13DGgF/eWc97rlqLsYNLsCVCydi896TTBaWlJOojwFfODHIlbNIFOEnys6XWytw5oxw5/vvlImnKTqn7d9oZo0Rj4+/B2taduKzxm1o83QhTWfB2NQCOAOH8NzJh9hyGkGLKRnzcGb2Emxs24gut5lp2FDEORDkTZXI5uUfR7GFP9yjla4GGDtYoypbIBNXl1zC3vu4bjseP/ZJaBny8gONQZSaMxBEM8NJqTo37D4dPBGcAxF6VQA/Gr4Ub53a2edzu9vnZDUCFm3sA/LT+r149Mg70KqDsCjUMpq8Nfje9lfw7PSbMDkzUl9yoHkAqh01CRWIaHxDrUOQZ8hBim822pxbJMwXGxsjCUwnyX3qlHKfxPHnd9Hoxn86iuhT+Ipvht/8CEgFVOjpNTENfHpYa9q0nK4h6YxfUDYcl4yL7BgqG4GPD44ejo2wa4IM3CvHRY4HHXPast/DK9wStTOXzRMMYGJePprttiRRfBFq0oiXjFNf+jiytIhXjfLDHVD5qc9A/HXT+LbX1KHN7kC2JXEk8fxxI/Dy5t2o7QwDLrVLBXWNDoJehDVFj4lTMrGx/VjsUAi8ssJU4RsDRzpOpO2uP2RgTpkM2klStKQgC/uaGnHlF8vgkYviScklPQBtJ9eCjwD50hTQcb9x0gQ8sGBO3HHsaKhjykUsQUUPTwlgy4o/ZCRZeaitBdML4xdmD8zIwNNLLgz9TRzhz/ccwwrPMextb4af+E0St4Si6WKoC6lUxKklfnwY9FMHXL+Jd6lV7otc9KmmLAc5I2qRccfJiaHvmsi30wNeSgpG06wI69r5nLKiUalJ7zfRvlfa9y+YAYNOw86V3y3/SirojzV6z68WserQMSwdNwp3v7YCW45XR2z7WFM7AzoDMixoa7ez4kTWb0G6s4yZVITvXTgTk0sK+4w2OzxePPTJGk4n8vAIdzLTOCSKmHQ59On7sO7FUfvYRwMlMo/Xj5MN7bhk5hh8uPUgGjp7Yp0ZGfhIb4du9TEUKv6GJ01gnVKVzgVx03/7yArs2lvNaEzkXMg/Jw/NwQ9+sAAlOenIkjIJdM/beOgkvjxQyQpbB+dl4qLpo1GU2Xfx6eDCTJYtSBbFZ+ebfAyk/Wjo6MFPXl2FW8+aivc3luNEQzvabQ4eIY9o8xLOjETvOxmpUNH5L3eL5Q3mFHUp6vBxlb9X3daJ3y5bhzX7T+Cp25ZEdCR+fu0OfLbnWFxt/R6XGwJls5w88xYC3PQhK1SXugAHFFknubGVKKK8rgW3PPYehhZl4Y93XIB/PHgpXv10J97+ZBf8CPDDLDk4SZJqUgArCHuSvgun7T9vpyP43zLTq3VYXDCbvchWN72Hda3vR1xuftGHHR1f4kjPXviCHlh1GuTk2hnAZ1r1biPsbh0GpyQuTKXlBpocuLj4URSbCrG17Sj+fOzj2IUAdHh7kaLj3Qnp/mTV+WAWfUwxh0yrCjAHwhVwwqzR91kJSY936hQabU6fG49XLGPgPvr5SdFytd6JRw5+ig/m/iDiAXtu3tl4uuqFhDd2ohnNzpqJZw/twDundkKXPPDGimsJ4JP9efyt+LT+MNa17IxYhu67vS4D3D6eWycHgF7UTZXoMT6/GgPTMjEnZwC6Wjz4uq0GXnUAI3Kycd2U8bhw9MiE3PsejwduP0c07FbLoi8iBF0AAa86bkMq5oSoBfhYy8vElmM0M/WG68dOwKcnkjTYoXlLCatEaJiSED+/4t766X2PwJop0QNSzaLPya3L6UoK8A1aDV699TLcv2wVdlc3sGPOsKUooiwrD09cdT7y06x48+QOvFq5DS1uHhkkYO93aiH6VMk14sVI2lTkRyI0PaqQpCDba68KTy3fCmdhIKTIIxtRULxZfmjsalZILUtAyk/gmQNLcM88BY0mzvTxjXCpxGR87f7Yip2H8fv3vmKNgCjLowkGoSLQbeWARB6Xjuos2a4QF58XeirngHXYTeX0tND+UjaK0XoohcQHTc2NrE2cokPbS6vRolnlg8sYCHHsVV6S6BMiNOTNWi1sokRXSJRoCRINWgUvC2LwiKZeq8b3L5iJq86cwJah68Wn47QdpR8iHwIC2GqtCoeaWiH6uI58tDEQpRJQLdjxyO0LcfhEEysuHFCQicVzypj2en+MgOaNz76PgJ9fuzQnrNlYvHNRitZT91/WnZeakfVDh50xkv45RgtzXKj51qv3Xo5fv7MWm4+cihgOA3nKwt5+9FkgAKu3SetXCShOS8HufbzoVaaUyD+rq9rw8bu78bufL2V/t3Tb8b1nPsTJls5QAITA/kvrduLHS+fimrmJM51k1CTr0vnj8Prnu+I+duR9IPCrNJLV3H+8Efcc+ySiUFnef+bYkBPKVHASbFx61lGGQ264pvJRETmd9yr4iftvkulo4e3L49xeUYtXvtyN2xdyOWRqhvbmRqmTNRLtiwiN4hwJx3ukQASBfCm67zdxRzp6+ycbO3DrY+9i2a+vwx2XzMTbHygCc6zxWfJGWGyOVAJKCqgV3HfTBJqjeH1k+lOI8x2x0wD/W2qkXf9e7dPY171ZeifcJoo/EwLo8nXBGzTCrAtHdZm2r8HFXlTQmpKgcyx/NjuQpuMg/bVT6xnwjket8cdJ+xKg14eIldzStCk4K2803q/dnpQqMyd7BLRxuqO+cHINqXLHva/Qe5SbqHM3oqK3GSNS81HtaMYn9Vuwv6sKDl8ufGIPrFpS6eHjIvoRbe+G0pvw+31r8c7hozBa469fsSVGCaL/Ck3ZmJA+HC9XbY/IDjAnymGS6Dl8ZYEg0XjU7DOVVoSqQ4eXl1yGgenp+KZm1ekYP5tFXA0U/pezAwLruEra7WpdAGp9FM2GHY/EXHk6vjeMmMSA8uSCQvxw6gw8uXMb25YcyZd/N2a4oVFE8GnOjCYPnA4lj0OeECmta+PHlG78FEVKZvQgTwbuZcu2mvH6bZejorkNO6rq2IOL5A7HFIUpadcPnoFrBk3DY3vX4/m9e1iHW070pnBxciqSvjVZGZKAoD4IUU96oIDKwSPPfkt8/gSl6X0ZAahEASl+PSwOPQZkpuPKSWNxbtmwhPUWZFPyC/vE7nq1GmU5fTdr2nT4JH751prQ30TnYH6DB9D5AZcxTAsJceHj7r3AIoUEPllnUoTpNdERbF8a4PQDlk4BC6YOx20Xz8A1r72H1k5nWEpT+RXpnNGp1BiaZsUJ6mwcHTaU/6bI5AAdfjvjDHT0OpFpNeHM8UMYSJWN0RyIC04MBqJHSJkBmR8uZyFIUYQkM2XwmggAV3R34MEbF/Q516H9DwRQ094Fu8uLB975DPUeGxAaHmWERKbfH1HMLCnyMFoW48RI+0p8dpnekbA2QnKyvqFSUorZgKHF2Yyi9+mxChzzd7IOvVq/gDGFeRhXnI83NuxlEemQyWUvNDb5FFao+7BtM2lPHqUnTn1zfXfiDF5QxKYtx3G0sgmFeem44cllaOmxR0Sq5Z/USKowMxXzRg9Oul93LJ2Jyro2bDlYHXISlE5zqNBeuVtUVCo925RZDPncoKwRnbv0M2lmhLZHvR8cQehbnND2ekPLOvP18KbFFxRg8yaKeGfTPty8YAqbt2MNrVy+Momx6zbZzYL2XTpW0U6NbLS/1Fjuqfc3Y9igHAQkJSDBH4TG4WdyosmMXVtBEUsWRHa+/06ZeJqic9r+Q7ay8Y0QuI/JjDLleOrequOEgKgF2N8kk+jKxlhNfVJA6wu6YfO5cKhHkhiLY56AJmm3b3o4FZsKpBcwPn0ADnTVxDgL8tdvHDyPceiP97Yw8EFynkTX2dlxBH0ZORXN7h6cdNTiz8fel7q58puTCgamDFRoEpGp12JyxgSMT5mCO7etQCtTjaAnJ1eASSpvyYqOU7A07zzcvfVDbGpuhkarR6qJpyM9fg18CXLuLKCjEWFMDaIggVJMn/uo0eDcIcOwsu5omEIS9bQPeEk7UYRa0WiLtp1p1qDLwZ0YJf2GoOnknCLcMmpK6L17p81kspsv7d+NnY0NbO3TCouwdNQI/KnqI7j85OxIzYjIIVQHYbV44XRqmDPDjDbhVkGwa7hWuwSqNEk6XpITcdawwUg39V8qbnheNnslMnLk1tac5Go+srHKOBp4HN4Gnc8OAfrW+A8yUoBxD/MgSJF6yQSPAE0dhYKTjzUoiJg6uAgvnH1xP/cOGJGVjakFRdjTFL9bMJ3nV4waA6sufgdgpT392bYQyIk2dUCAoVWEO5sDy4TynpIxWpmHc4w5NzfRTUCAJxuYP3sYfrv0XOYALB43Eq9t3Qu/RN0JcfklYEtAvEt0o7tTEXaP3Dgz+qjL7YY2VYubpofPX6URH35sQS6L0BPYIsWgaKN7zbwhA/HexvKkzhTJpa49XoktDbVo7Oll5+nF48pwxaSxnAOtXDYQxEubduGNLfvQ5eA1G1TjoBy/PI9M6pP+k0A8A8jR85mo5kG5iACMKszFpWNH4ZH31oeUfFjklvVMSFz+MHvyIDaGW9/5BDtq6vj71H9ALWJ/ZzP2tTdDKzFd5DliHHzabVkyR0nToiJSBWc7J8OKqxZNxN+f+RJ92fd++Q48VgEueb7iGJ3HL63d2SfAJ4rLX+5dio17K/HRxgM4UNUEh9fHZFvjNqySVIoSAXf5PcZvT6QUFWXm6l4IFL1XvOczkxRvkocnKePYXWjtsaMgI4Wdo3GNaHtSLwS5XiOZw8EKt2UuTYKHHX306bYj0G08EoqHaHt9TEknGcCXnb3rLp6GwaWJ78mn7f/zCP6mTZvwpz/9CXv27EFTUxM+/vhjLF3K03ZkN954I1577bWI70ybNg3bt4cjxB6PBw888ADeeecduFwunHXWWXj66adRVFSE76rZ/T3Y1r464efsmoUIDwNZiR+4pJLT6zciVe4UE2UqaGDV5MJJHU2SGEEAh88Iqy7eenik5Jy82aGo3l8mXocH97+NnR1VDHgx/qsYhFljwG/HXoYtLSdx+9Y30ePj69OrNFhaMgHOgLtPXXnab6ffgT9XvM+7cCpAjOxQNLs0+NO4nyLPmIH7dn6IDo+DOoIz83s10EZHvqNsfEY+xpmH456tK0PSpUJQhxQjB/guLz0xkrNdLenUoZBfXtTArMdnh1ltgEmTmB9EHWq3tJ1Ah8eOYYVWiE1JwzQIeNRQacJ0Jhrr+QNHYHHhOKaWs6GBK/Dkmay4YcRE3DRyMgxR1Kj5Awexl9I8AT8+aS7B7g5qoiKNgYLYQQ1SdFqM0JZgb30rgvTECURSLpgJwN2zp+Ovm7hiTzS4N2q1uG/eLHwTc/i8+PjUYayuPQ6X34fRmbm4bNBYUJNmGmF+igUnbURJU3pEAuBRsWhu0EytI0NTx4G/h5rgiNB30YNcQYEzB+Cc4InRGBN1InxDfFA51Qiyuof4RvtYYEnBN7W/nXM+Lv9oGep6OU+GRREloD45vxA/m3lGn+to6uzF4eYWTqshsOcXoCGJfNaqnvODiZMb0bCiD2OOG1MKCXc5ldVtmAMqTQW9/VnFcVzfMB6Tigpx7fQJeH/PITg9XgRIijNmxVKUkVLl8pmW4LKi7Mex1nacOzJxQd8dc6bhrndXJDwmg7MzMWNQCZPD9Hvi87VlMFtj6wF4UBk9bg+e3LAV7+w5gIfPno81W45h/b5KeH0BaLN16BHDiDhutkKxv+xaYQA8eZSBqQbF8XskXA2DRYuLZo3B4KJs3P/Gp+hq5w3aKFKtcUby8UM0JR3w6fHjMG80Y0ctSQZHmuyQU0ddM2F/Or5SViSMeCMHQ1kJqle5YvZYnDFmMKaOLcXOPWHKTzLz+YMIulVcZjIBAGbypjXN6HW6kWJKzq0kahhp/NPrliffw56qBp5xSBiYSm7y+cjO82RFzyR17A3GgPtvQvegsZMNzctizgp1p2Xf94vQ9fAaAPlY0vGgzrt9mtS5NqnRNUgF9/QzQIXEQfjMKngtKugccbj41L1apcI9t83HxYs4Pe67akKCYuLTKjr/InM4HBg3bhxuuukmXHIJL/SMtkWLFuGVV8Kt4XVRChI//OEP8emnn2LZsmXIzMzE/fffjwsuuIA5Deqo6vRvi9EDrcNLhEURGTprjJrMsd69jIKTyEIqLkKQ6dkn2RJcQS1SEQvM6b7T4dfhsYo/4rLiq5CmNaPbFyWFoDCbjyLig1BhPxRzayR+/Du172KQuRhDrYNh1Rrx9ym34FhPAza2HmGAcYg1D2fmluH3B1dhRR3Xb5aNihXfr96NXEtkw6l4YyZazMbWcilyn7iIc0XDVlxWPB+rG0hbPBiiGPi8augJlKoiG3/J80V2pLeZFSWqBE3IMRBFFdptFmSl2KWi1iRRT8JPqiA6Pb14o3oNVjfvgifoY1G8aZkjcf2AhRieElko+VHtHjxxdDV6JafH4ySkEKnBH7UVjtYImBKQk84rp9iLzZ0HcN+k6Xh27kXMsTJptN9Igu535Z9hbweP7kVvv9frw6gBGThQ1w4S4okXb7p9ymTcNXs6a3RDajktNnu4U21xIX69cD4GZfafu1nZ046r1ryDNrcjVOC1r7oJr399IORckLKMoFZDpIyGP3zdq7wqqJwCBJsKgXTKyUsFFNTx2CDCVSDCkynCelLF6CokIekZTDnwuKkzDnINAQQdiUnQdF5ePmwMvqnlWixYdeX1+ODoIXx47DDTqC5OScXVo8fh/CHDYtQ2yA62N2NHcx2nXeUU4rXd+2AvVV4XIjxZXAJUa6f9Ixk8orAI8BOdpY8xyb4bRftl2kuIwkB/SyBPdp6Iy/x++WEG8PNTrXj1pkvxg7dXoLHHBq1KFYpQslNXVmaRLET3iAPy6dzW96G3vWD4YPzs7DPwx7Wb+P2BakEIdItATqoZz121hK121IAcbKurD9FNKJJLCiKMd01jinPs6Z5C5/H33l4OaysHwwSYnTK451OdtJ9AxI72kUIkUMlqJQhYBiTATnMmOVQ7a+rx8f4jeLf8IFoEV5gNpBLgN/PuqSxDIxXj0lhZE7JgAG/tSaIZL23fbwF0NsAnKx0nCXMX5aXi5iXTsWLXEXz05mFqssLut6xuI4kRrYc1gCIqTKwwVAwFqr9GTi6Be76RyLH+M0bZp+j+EZEmwNjkjrsJfacPjtLEKQr6zoCcdHZ+kpETc+Hkkfh4x2GIviCMrZJSjmJ5Rs2Kmi9G2yUZU+n8JRCebTahvcsRWZcgt69XfJFdz0yRSUTAoIJtAL8xUCZMaw+Gmp0x50InIE2lwkULJ5zuZPsdsP9oBP/cc89lr2Sm1+uRlxcrAUnW09ODl156CW+88QYWLOB8yTfffBPFxcVYt24dFi5ciG+T0U11RcN2vFO7EY2uDqiFAAqNRizMm4TxaWmwBdpgUqcyysy/xgRW7Ei9BYnUEx4H4BXVaPGkIIg6/PX4n3BGztlY2XAgLgefbgAkmekINEGn4r1iZSBOkSj66RdFvHzqTfzPmF+FLvwRqYXsJdvejpoYcC8bbbfTHYQ1SZCGVutwG7Cv6wQCcaGlvK4gdncex4yMCWH6DoFgKoINCnD0GmBKcUOt5kWjVDwqGxXK0je0WnoFYHfqQ9FaktBs7k6BhnHdE0fw6d0svQl37nkCHR5bqLsuxUN2dh7D7s4KPDL2NkzM4NHIT+r24rcHwupF/Bj174nERiHds3WCnzlUNE9vVW/B9KwheGzC1X3eiKkDaKfHAaNay5ytj2v3J5Q5Jfu8+SBeuuQK/GLNl6jtCVdlGjUa3DF1Ku6azgvGLh5bhiWjR+JAYzPsXi9K09PgVnnxYc0+tJzqRZbegqWlYzAqLT/x2AIBXLfuXXR6eGMeVuPQq4HoZWWhoeVo/dQ4jSL6QZMfkHT7qTCWLEhqMAwhsXcjO13qAUdxEJYaFXz5Pu4IJDIZ8KpEJoMa7xS4evg4lGX+c7J/5KjcOG4ieyWzRnsv7ly/HPvamkK9MwhrClRYHGdMvlSuzKNx8g8JNFJUkKgsSjm/aFMbVazLthil4x9angRHPGEKBwHfesU5MSo/B2t+dDO+rqzB+uMn8c7eA+GoapyNJjrryGlaMCw5TYPsphmTsGDEYPxh1QZsO17DuozS5lo77Lj++fcwoDATWxvrI0A8gXI/Md7cyQE6ozxRobJaBLXAIAcpJiLRH3Avc3+TLEtSnlQgTQ3O6D9GhZE66FKUnq7pF7buQk1vT2zEkXHCFdkEeV6l09/jS67BzvZVApDsuPaxP24xgHMefjFUREvTobcA+rAaZoSx3Se2pFpQcN25nry8n2w5Aqx6ICPdjDRz/+l87b2KQJVynkPeKb9hyvfORM4Wy3pI4yTaFhXRxjtsuSlm+NviC1rounzQ2Pzwm6lGJHY7tL6bz54ScY++/8IzcKSuFafKmyPAvWzkWIeCW5SZo+vbRCpYkrgF1W9BRJPTweQ8mfNKWTKpuVzkdEhRejo3NIArWxu+PQaIWkeOrAC/URXqc9Dd4cP2w9WYOSZSze47Z+JpDv5/3DZs2ICcnBykpaVh7ty5+MMf/sD+JqMovc/nwznnhNtOFxQUYPTo0di6dWtCgE+0HnrJ1tub4E70Lwb3j1d8jOUN2xgQG5HSjjxDL7vmqxyHcNLBtbRVQgABdmdOHtKg69ju00JPXegSGAGg6wY8iArbCpy0bZV42QK6fGa0ey0IsLAb/35PoBxlqaU41FMbUVBKtA+y2wbPw4rmZZyrx1ceOR6IqHXVo8ZZhwHmktD7dr8D+7oOwBlwYXl1ddJuvQSgPd4AdNrIhkXy/np9athdOvgs1MIy6fSw8Zi1kXxlrdEPr0PLQX63ERptAEaLh0XzNaoAskwOpOo8DPC7/VqmRkTqF3ZnOEdNYN9HuuaKjqnxLMMItHnD4F42BpYg4JGjb2HZjF8xIE2R+2jjmu59J5EFjwoivWxquOnGbvXCWOBg87ezvQoP7X8Xf518fdxv93hdeObYJnxQsxd2n5cV72p9Rji8es651/uhMfhjFHt6fW5oTcBXt9yMXQ0NqO7qgkWnxxkDB8RotFMkaUJRATvmv933OZad2svOAbmj6KuVO3BhyRg8MmkxtKrYCO3ntRVockryHGQE7CXQHs8EH7m0QYgWP6PgyJWHjEOeJBnitwKO2U6pQLdvYxKRpBhEevzyAzEI/HDSLNwzYSb+lVbZ3Y5llQdQa+tGqs6ABcVD8NttX6FZmhfmjLGmU0kuCrp+rCLURN+QXCMar4/AohQllsGLrChy5qhBKEix4vX9vCg1noVovkSVIjChEpBlNsWcA3OHDWR6428fOPCN95+i8WcMGoBh2Vn9Wn7zsWp8feAUnxOZRkSyiDYbak/Z4lJNGL2GAfY+rjpSTCFaCvGgGUMyCtzLde6JVtIPcE/7m240otHTC22vCENnFOVGBbgzRdRretncBtRB1kU2HhhUDk1S0+2XhUBgH/UAZFQgq1PKnYqAM0cNjdvPsgjy+kKcfpIDtURe66QxT0A0Ymr8VPwLjB2ZG6Kw9MeUTbzYduVbqTQIOld1vUEGlL2p8bNCyrGSBUjjnmqeyAGRbukZKSZccdYEXHP2RFw643fw+2KzDLTJjAO96JiQynjtssCcfI3dds5ULJ4yKuI7FoMef772PFyx4+W4Y2PXqFfumUBRd6UEaOTBont3QCvyPgVR5zb7nc578j1o6FoVvFaBRe3NTV4meysbA/9ZWvgNKhbl/9WrX6BgAHUfzsNlM8ZgYM53T01HOE3R+c8aRfcvu+wylJaW4tSpU/jlL3+J+fPnM2BPkf3m5mZG2UmPUirJzc1lnyWyRx55BL/97W/x77S9XVUM3GuFACZm1MGg9kU49MwLF4kVTyDfx/jxAVEVN7hAgZJOjwn5hjJ0+okyE9+GmAcjyzAIEK7CquZqIiUgECf/TGC43dOM+4ffjN1dTfigditaPT0sMjg7exSuGzAP7V7efKsva3G3MoBPQPb9uuVY2bQWftHPIEVVZwYCDGnFNwK+bT1WpJqdsBgJaEvvixS516HTRjJ1AlQi3cAJPCd+Wo1PH4KBlkwMTjHCJTaziCsVx3aoTHC7dAj6VQgGVCxKb9Z6UWTtjsic03sWnRddbgOq3FrGPw+NUwSsGiro9cSMgbi+xeZ0tPhJYzu+I0Pz3em1YXvHUQSDOnR7Y9vGa3Tk5ASlSD5/MgkUOaT3mRyqANGhhtiqgzbLA/UgVwiIe91aaPWUoxfxdVsFTtiaMdQamQXr9bpx9caXUe3oYA8ar02HoFcDL0MolPERmdSk36WFPtUNVZQjSfUCBNCnFhWxV1/2j6ObGbgnCzl4UhRqRe1B9Do9eO6My2OyDZubTkWo/KjccbTmo+ZWcKoBUr/RBRFIk8jjclFwQhMRJIDcqwWy+uiKyWgdKuh6NBB7SAqGd5p+9uIlmDuk76gWAfXPqytg83oxMDUd5w0YDqMmtiqUnKA/7t2IZw/vYHNAEWQCf+9XHeS69XJYloxoZ8mQGEMFPKor0w1kmo03nWu1E3ixanWYM3gA2jvs2Lz7JO8+20etuOws0HjoOC0p483Aoo0yOEathjWbSrYuxlUnSVRGswliSnEhHl+SPNMrF7z+fcUWvLZuN7SK05UuXYpwMipRsqrK/pclKMC6IoIvSI5OH3lxZe8FNndSwTH7PkWszSYMzExHe10P67IcwzIh2dA2wKMR4UmRHFQzp9QkGqZc70DF72lGIzrcrsT9MgQgTdTDBQ+LrivEwuIvHsX6YKYW0FuihqWJ87rZ+Uo+sV6FADWbkh5+7F+K3MsB6chhMNu6+yRONnRgUGEm+mNUrDp+UAEOnGricpHyJDAnWISlOaCgtQThN7NCkEh5Z3JCSN5S4TSRZC4dn7PHDsd9i+cgK80ccjzmnTsW61eVh9RoIqbCE0T2zi5c/KtzcaSzA3a3l+n8Uy+C4YXxi1TbOxLTZdncSAXOrLswY3Imuh/yY0HUw7jKO3IHaCrSpiJbRxDWmlgVHzo/zc0+eKwaBIxquE85cKLOgUO5jXhz41787KIzcfWc8UnHfNr+/fatlsm84oorQr9TVH7y5MkM7K9atQoXX5xYoUKODiayBx98EPfdd19EBJ9oPf+XtqKB5AhVKDW3xoB7bvwN6hKrE4Iwqz2wBQwIitQcKRLcU4OqEz25uKJ0ALr8DThu74xZly+owp7uWty+++cYlZLHIBGP2Cc2e6AX1wyYh6tL57LCUI1KHYrg7+2K3kZ8M2t49O6t2g/xWVO4CylLMzNNsj6KU3Va9Nit6LabeCSfpZRJxYePgwDOpNQy7LLHFnCy7Ug3MS30ePTo32ExV8Esp2OpGNPai4beVLQ7zKxLLY2p0NoTQ4uVf083uJFlcaKlN1w0SZSn6wdPR5unFx9U7wuBfEYfCWoxPbMEm3tPJp0nmtcaZzPMqviRD9o+0YgcPZyIq6EOtrqg4jkkQkgLAqleqKhvgDLApRbhD6ihRgA6tYD1zUdiAP4/jm1AjaODPQD9Lg2L3st7F/FTJPCvhz4tXABNP4am9C3XKBs1NXv5eGLpVLL1bcfx8w1r8Id550RcuwTwIowVKArJG9rI0URCFAa6YMgj4cCItNip+yoZpZ+DJIEpzx0rvCVJEQEMISbYDJ2DqX4TbPAyCtzEwkKMK8nDts4alB9oQKregLMKh6DIQp2ewka1KA9tWY2Pqg6zfaT1ECf919vX4Y+zFrECaaW9WbGPgXu229KJLf9kfh+rJ5AWlhpjJQX5bPBRf0sXBkWvBaOAuaMGo/1YDw5VN/HnfvK1xax6YlEhi7Ynop1cNm403txTHhdc0nxQ9P/S8aNR190Dq16P80YOYwC/PzUkv397HZZvOxzzPovY2jivvI/wvAT0k6FZUsPhYyfKhi/qCcooHxTdj67Dl+eZJklKnBKXmmgsXCZTmgONgGsmjkZ2rhXlX/JGXEICX8TYLsBj5WOhBmW0n6SnoKyTkL8gd6Kleb97znT8es1XcXePIstDsjLx9n2XY/WOY/hw1yHs721NNmmhKH2clbH+CFqnTCKL73jIDkLC7IMg4KMN5Xjgmvnor/1o6Rzc8tf3eaMyxalGx07eFr0okk/vEZgn55cBZ3cQzlyKVHOHQO7wSvKpKUYD7l08G7kZkV7vFbfMxeY1h9h9WaYqheZHJWDy7GG4/eJZ/eatm4xxZKDiRaDZL32vk5zchMeJyWoKsBjUCJ7kjkWic05n98NtoHSRwJw/Q1MA9gIVHvl4PQblZmD6sHD2/ltv4n8/Raf/ea9vgeXn5zOAf+IEb0lO3Hyv14uuLqkVu2Stra0sip/IKPqfkpIS8fq/tpP2ZgTFAAqMPckUs5hRlJ3Ap1XthtOvDd2gCOw3OVOws70EzoAWNc53ERQrUWrsRIbWCavGjVSNCzm6HqkJlYo5DMdtvHV9X2bR8psW3YT0am0I3JONTh0Fozo5D9KqsWCEdRg6PF34vGld7Od6UqFJvPP0gL944BjmWFBRq9urg8urC4N7apCl0qDIamV0HjYvkRVE7F9vQI0vW9fhQM+RsIa+VBNJr6LUHqQZXZiWXYoUnZvFq+Xgjc2jQ7PNimabBU4vn/scc7hIlACUUa3B1YMnQR8wwWnTwufUwOvUwGPXwWYX8Paxg33ONT1ojWo98oyJOzVqdAFY0p3QmnxQSXKYyn4H0oCkot9omVTeTZd+uoO+mOg7OSYEFmn/KEqfLLlP0pMsui05JvPzRyDX2P9rZnd7LZyB5FFxGvOyqv1YfbIy4v3xWQWRYJCpdia+A3MZQooYKvaHWDo+EdpuFdQOovgQN5+6QQrQdqkkPXFZ7Js8funhmmAzFxSUYed9d+Kpay5AWoEJW3tr8MypLXjuxDY8cWAzfrN7Lc5Y/gx+uGUF3P7w3D+4ZTU+rjrCI4fkWEnOCykE3b1hBb5urI5wbP5xaFvS+aLLU3AJUBGAkppV9WXRTZSU0WQ6H4abMrD/ZGMIpLAOsv154AnAxOICvHDZ0qR0ih/Nm4VRudkxI+XqSho8c9mF+OEZM/GXC8/FbxbOx9SSon6Boor6trjgXhpavx/aDAQlimyTggh1EPWHaSWhgiTlcSHBJqVWuQRgQ+BeisAS9UYJ7smCfhHPr9qBPfvrWAFqUsqNL8goV/IbvhTAncGzNOSjsIi5VHhJTfDoOz9ZPBclqWm4ZvxYdr+lF0vuSHM8MCMdL155EesxcOm8cXj7gatx7uhh8ZMeUsZC5szHM6oXCCU/5XkKzZcYSqwlO8J0razdcxynWvsXZCIbN7AAz9x1MYqz0mKa5ymfv5zuIsLQHYSpLQBjR4Cpx1BdiqFDhLkNMPRwB3FQShpev/tyliGItuJB2fjjS7cgKy81BOrZlArAGQvH4KE/X/mNilKHluYgL+tfhEv6OvcZWA9CdcQGjSfcbydmMcmpIMWg0N9BmhsK3gl4dcPuf814T9v/HxH8aOvo6EBdXR0D+mSTJk2CVqvF2rVrcfnll7P3SG7z0KFDeOyxx/BtMpNGzzq+apJ2qIhUkVALQXS6zdhtz2IccQLtBHYJ6OYZnLBoXbzjpgpI1zkjvl9g7Eatk1KaAtxBNSjQk8yxSNWmYaglsQSdzdeMGelpOG4nnW4Vun0muKKkDy4puhAalQbbOnbFfJ8yl0Q50aj8LAMRe0sXWRfcxSWD4ArW4v3jHZKCTRi2EI3hxbmX4eOGLWweUnUuNide9gQRmUY+UWvcFFZTJSvDBabkEhnqKExSF023X4OTnZmMey/fERttAsxaDwZldPBiYqhYB97n51yB6t5uvHCY9lNAQKHaQka1Aj6fWur+mngMFjETX1c3QuVMgVflZJz36OWJ668hBYyEpw0vsoqRWpZ+9wZEDLJERtvbPHYGuIkp4/Pw3gB901fU0OpF5Bis+NW48/BNzN2HDKtsNP5Xy/di0eChofcuGlSGP+7bwKQxmT9nCEKw99GExSwfeWm/qFeYjbeHjQbB7PrpVcGf5WM0JPZNiuJ36oA08gIUkVj60KbBFTMmYF9zI+76YiVr747U2LaS9JVPa47A7vPghbmXosbWzSL3cccrOa9P7PsaJcY07KtvQpO7F83OsGOZ6IsMZLk5PYeixpSKjwv02YOZq+cojUV2JbB25qBBOFXTEdnVU4o006WeLAqbZjbg9asvjav0ozSzToe3rrscb+8px9t7DzCdeXpv8egRuGnqRJSkRwKy/tqn249EjDvaWMLDLfHsk5zu+m4OSlm0XzruslSpPqiGvovydeG5oeW9JEnKbkHhzPHgzAw8dd0S/GzVauyrb4zBWFqSLk0C4L/YWwFW09jH4+KiUSPwXvUxPka6TnVc5pKUT1Kg402/BAHTh5SweoTH13wNryTBqFUDgwqzUJCZwnjf5wwfgjOHDopoyEb786fLzsXI/Gy8unUvOknrn5oamgxMBnXN9mOodnclxpCMGiSyc4jz+fmSVKRcnJeOFo8LNlfyxk70DWpwtuTR13DexBF4+MqzoZMkiKOtorEN7289gEO1Lazb8cVzxmBwbgZ67Fxm0xRU40e/ei/p9vx6gXHWlftE462v7sSTb2/AH+++kEmtRtuIscV49fP7sW97FU4dJ/qwBlPnjkBe4TdvdkgOwm1XzMTv/vFF8uXo1tOHzj47h5OJEBH1z9c/D5hdEop10Va1DpHJDW+rqO2TPfFtMuE0B///1ux2OyorwxE74tnv378fGRkZ7PWb3/yGyWcSoK+ursZDDz2ErKwsXHTRRWz51NRU3HLLLUwakyQy6TukiT9mzJiQqs63xebnjsMJW02fTZbIQsFZgYpUdawwNsA6t/CL0KRxYVwGpW8TPMyom63WiQYhnYFxWqPdn6irLX+KXVp0ZYxcJ/tUFPFlywvY1fkJA7hpWor6isjUOZjGfp0rHWpBi8uLL8KCnHnsOza/na3LFwyyaDp1hqVMQkBUI8Xggs1thE8C5fIek9TmqAwRT5x4nL0zqQRotVnR6+ZtN2fmDsTvJ16LFJ0BK5u2I9fcC5PGByG6nSPd9LQ+5gAkm+c2bxu0ggi9SoAvoMLx9mw2zsgjQNFVHU50ZGN0ej7mFwzDFYMmIMdoxf2bVyUpGBbQ2WNGblb84m0WNXdbcNsXtA4e5gmIJgjqIMzpzlDzKhlTJuTKhtfIufpx0IBG0GBB3uiI90xqHQLUxIoVpPbPyLG5ZehU3DhkBjL0fXegVdrw1P7ReQI+FQ60RtbO0PF+Zu5FuHX9h6yuI0AA36lmqfd4YJ3lJJUEbDof7DyTEQ/4yu/layzoMHaxJlXM4XGrgWYD4/KD6g/oQLjVyDSaMamwENct/4AfF1Ls4SuKMfr8y4ZKlHc0YUtjbcLmU2xZiNjT2ogFz77Mi3fpHIgvHha9A6F9YHrWGs63jdhXKRWt65GWk6g8TIZRTbV1KlwxbgwePPMM3PfcCi4BSZFfg6TEIj0IZT9QyTphPzXA2UMH9wnuZaM+CLdMn8xe/ypr67EnDLzLprMD7njKN2QETAJE2QC0PUAwS0DR0ExeNGw1Y+mYURiVlYXv/+kDtPc4QvvO5oeVrZCcIc8CLRw7BNMGFyMYDOLqSeOwpz4qg+qXtOqTjJWOUd/yjMDlU8fhjElD8fTXO3CkhVNpiNp01cyxuHPWNEaLomzQ91/5GFuO11KpBgvrMUnQIHCyrgMav4DH7zgPRl18WghlZG47YypumjUZ1R1d7P5fmpnOugLn6E343fsJmlpJk8T2VWpupty/usYurHj+DpzzwPNsTpLNB6sDIMdnXwU7Jn+4elHMMi9/tQtPrPw6wtHbV90Ii16HZ267GOMG5rOxDyzORE1DZwyVhoweAX7i3kdd0vKSWw5U46zv/wOXnDkONyyeygptlaZSqTBp5lD2irba9m4s330ELb12ZFpMuHDSSAzOTVxXcO7cMvTY3Hj6rU1c8pU6hEdRgBjAdlG9QHxgQd+hmg5bL52ziWouBGh7+xeEYcnhqMtcLjqmue0PvvnWmPjfT9H5j0bwd+/ejTPPPDP0t8yLv+GGG/DMM8/g4MGDeP3119Hd3c1APi377rvvwqroEPrEE09Ao9GwCL7c6OrVV1/91mngn5c/BW/XbECn14x0nSOJw01pU37F6FRmZBsdCELNIsxE28k22JFv7GHZgGRG69ep/HBJ5EtXQIsMnQFalReugBN6VQA6FRXzUgZAg5P2XSg25aPAGMmf3dHxIQP3ZHLRqHwBp2hcmJc1FFeV/irEvSfL0mXA7RelbfN9YjciVYAK9aFWuRjwJ017WqtV54VB40eLtxtpumAoulSY1oNCcMm9LrTgiG08svX5CAZEdNuN6BUMSDc7YSCphehZ5PpnSeeIFG50aqDJZpXAfdxENIvqLxkwin38i33LGag/2tEh9SqIvw27w8jkNDPSHLFSnw49Wls4SFZq+RMVxt5hhjXbzmQ9B1qycWnJNDy8P3HTs75sds5wGNSRD+5j3S2MAhUqnA1VySVOzj435zLMLorPre7LSi0ZmJkzEFtb4zfAYap1RAHyq6DWxTqZcwsG4fMLbsLLR3czVR1PVoBJZbrc/nA0lcauESGmkeajgm5D14KL4uPJzwXBoYGYJkJI8UHskSlLEidf4Rf/cMYMdLpc2NFQL6Hm5LIr5ASuqD4MrahNCvBDcyGroVA9QF+nMKNIhBdQUeG1X+SRfAnE00+ieui6KA0vAXyDiMKBqbh3ymxo1SpMLS5iqi1khZmk9sHVdWI45NG/qiT9bD9YxPQ/aVkp5hA1LZExOgwptUjqI8qiSgKf5oYwr7kQFiz/3nUx65gwrhird1Uw+Up3FhWNhqUJmX/pBtaUV2JtOQ9czRxeiumlxdhRW8c3RfQdqWlRv3jTCSRMaXOF2akYMyQfYwUB54wYgja7Ax6/HzlWC3SK59+yneXYWFfLJBPZdxXT5AuIONbUhuV7j+DK6ePYe009Nry9Yz8+P3gcDq8XQ3MycdXUcVhYNgxDciIB6UXTRmPL0Wp8dagqkvfPi2Cg7+TnXzzjajJq7sgk6Cob4UhJTvPK3Ufx/YUzUJQZpjduOnKKgXsyZRaH0S5dXlz71DJcPmUM7rpgJh7+yRLc/dA7sDncIbAcmg8zOcjJ7xaeQADvr92H9btO4MVfXcm69yYz2safV27C65v3MsAt20vrd+GiKWX49SULoFHHp7VdecEkLDpjJFZ/fQxNLd1od7iw5dBJVqhLEIDOaa2dHHKByf0qETb9yLCYcO6gwfis/jBcPh+Tg41A4EQ7cwehccjapCJz5OPNgPyICCru0Sx7TFK7goARhdks83Davj32HwX48+bNS9pwY/XqvoGNwWDAU089xV7fZrNqTfjbxO/jVwf/inTdoQSeLj2UuVIGmYBiWLVtsGgjNXb76yETZ5+vR0SK1oUUjYhMfQprpuQJhjnRAdGP8u4tONCzFTcM+ClGpPAOdQHRh63tydOZ7Z6DaHE3oNQ8OMTZzzUUMIdCGm3EmGm/DWo/GxunK/HiW7mYP55RBsPp1+HBfe+gsSMVPgovgqc9qzsykWG2Y0hOO9QS/Yk/t/umncjHoNNFYDt5PO2xQ2ulZ3j4fDWkAF6nDgFJcz3aeh1GGMw+5tiQw0FH127Xo6tNkr6IY0TAmps6EXdNmIoRKflw+L3444EvmT59YiO+Z/xMws1D5kS84w74cMeW90Lax2yb+gCCFLGOY5RhIKWXWYWl+N/Y7ydegPNWPwu7O8D7CtDcq0SpE6+IQLeObWt+aWRXXdmGpGbhf6YvYi/ZfvHZWiyrLGdRfdbgSi6MZQ/tqAh2PxRY7ho5B38/spk1zwr2amKimPfPmo2rxo7FsY52/qZcqZfURHR5qN4jJ3EbeuU4Zb+diut7Vax7LouYRRf9sicrlw2NXgeTvEwLcECp4uUI7nRJ4UWK4J5AO8YX56HIElkDUliYBh8vXYmRNJH9QNZASa9owkTXYTuvg+p2uPDp7qOoau5gEeGzxgzBpMH9K5L939gF00bi7fX7kk8tjVnFgTzRcAJUgM2UQzjHWnkJUTfReHa4rhU+LeDOUtywFNXnRAEiX5Uai9G7O07UYlBuJm6bPhnv7D0IZzfpLPbtu5H5rLxXQdxCW0HAT29YEDGv2ZbYzFqrzY5H1m1KuDG5CdbrW/cygH+wvhk3vfohXF7KgvILZ09NI3ZVN2Bh2Qn85fLzImosCJj++cYLsGzTfvxj5RY46D4lUmEtgfsgtC4JfOpiG8NlZ1iQajGgbEAejp5qgeCJH2PmjdTC36V9/vJgJW6YN4nhh067Ey+s25HYgZY8jw+3H8T2YzV444Gr8Opfb8QHK/fg/c/3wuP2M5DqzlAxcE/qNAlNWhfp4rd32/GXN9fjj/dcmOQLwIvrdzFwz/YlKmvwya7DjO50/wWJu1SnpZgwf+Yw3P23j3CisYM/RPUCAjSfRpFRZAxdQQSMAgyZBuhMWqSaDTB5BFQdbsGHlft5NxyvyOIRlJkjbXsytSMAc6uX7RZ1sPWZ1TC2UeAk9nZDf3stlP5RHAt6z8rn/dozkvfu+Daa8F8Urf/OF9l+163UnIOXp/0Ok9JvhIr0tni8PvQ5RdNJRjNFk44ivRVm7MZQYwMyNDaJac2NOOfJnpd0/bsDaniCGmiEAAaY25GrJ1lJO9o8jfAEnXGj2RSZfrPmcbgDnGfZ6DoOTzA5D5huyY8eexh37H4InzSsZetY27xD2q84lAjpLaLkyMY5+UQnic1KkCPQ4zWw4tfatnQp6s9nTl5/p8OMY025oRQ9n6tI9YToUcuroN/C1JxExiOh8R4/OhMRmyUyrbKBD9EkJEeD6EjegJY5Jg5b8kJlulHubWzGyNQC9iCzaPW4dMCEkNMXf19iC6MoZj0jexDGpBWipqcbv/36K0x99RlMfPNvcAWI2qRYVh+AINGCFMQLts4soxkvnnPx/xqg1dl64HapEaTjJ0l/Uj+CgFcDv13L9OdpyzePn9Tvdc4fMgiqHiqc5Q5DaBJYH7JwFJ+B5D4Kczu8Low0FOG9M2/C0nHDMXCYAXn5ekwZlI/758zCjju+hzum8IY0uWZzuHCzHzIzxZY0XDBwBGsElmQQrGCWnAs2dIreujRQ92ih6dRC3a6F4FEQ/FnDL97GLtrYe/S2stSF1kk+tyZSrjPa1leeSgw8pZ0OmEh7W4TfSJxvyuuJEAwCHvp4Nc789XP484qNWL7rCJZtKcfNT7+P6596lwH//0sbWZKL86aOSFonQEWoNCfknBg7AUsDYGkE9D2R4J6ikGdMiO9o6rRqJkmZ0LljUpBhqUwCdCea2jE8NQtvXXMpz85Ixa/JsAUdQ8oQ9A6ObTZFgLdsRjE+qjqKTw4cYVH7RPbWrnLW7EsxvMjtSG/U2noYN//7by2PAPdk8u9rDp/AG9tinSgC+dV7GmE47kbacR/STvhhaQgwcE+m9lNhcuTe0nV0yaLx7OcNZ09mxbZEGWMFwlJmiH4nR4w1xFJFHh+by80A+4WPvop5v34e+6u5JGYyo1lo7rLh6ZVbkZVhwfeun4u3nr0V/ikW9I7UwpWtithOMhOkY7tpTxUD+onM7fPj5Q2xNWmy0Yjf+no/el1UsZ24i+/3nvwQlQTu2cYVzhKd1xZ+vettQbz702ux7ve3ozRoRkVVK/wmFfw6wKcT4bVQ92oBKreIIMlGWwFnvgb2Ah3caWrYSwzwZGhgL9IhSE2zonbYK0lkKsdOx4eyHpdMH40LJkWqgJ22/7ydBvj/ZvMH3Sgw6jDEUoY8/QCUmEZiTtalWFp4Hwaa5yBTE4AR1fAF6hkINqm8KNF3YqixmenYkxEU8hMgSnBDo2u/2c0jc1RsqxV4hLxvE+ENuvF50yssqt/paev7G4z2LKLJ5cCfj6zB9C9+iXUtu5MCKjIqIJZGKwFxEbo4tCOHX4sgBHTYzApN+Jg9Zlz9XkawlaV9pe6xMcOQKR1hRKhnvbiTjTfxPAcDUWMKAXzigarQ0xPJ0RQTUoHCZvNFKs7cP/osDLImbvJD1C22bgXPfGbOEDw++QrsaKzHwndfxesH96HV6YBb8MbMCWtqZfJDbfZBoAZbksNy/+TZWHPpTRiQ+s2LxJRGhaa3bfgwTgRb9vYAlU7E4wvOxbjc/hDPuZHmfJ7VCq1DA22DDtpqPbQ1eujq9Ew1h08KELTQGZR4zhmVRSfiwa/WoLbLhvPzxmHVuXdgy1V3Y9nSq3HnlOkhCgtZhtGEswZKGSvWTCt6jdQ1mb+CQhDlnfU43NWMP8xYKPmBsVF3Vgjcqw6B+xijdHyXhhfUulX8d3+C23c/CvnJrLrIRnBke2sbEl4JVCxJIJmaghHIJCBLYNeXTl0pfPh082F2jJkefjAYkjg9VNuMe15akTRb+03sSHMrlu05gPf3HUJ9d7hr7m+uOwfXnjWRyRkqjUVns8Lz6knloDTuPkqvxXPHxP38zNGDGajpI+EXAcrJOf909xF02MNOjvx5fAqwyJqSUcEsRfG7hwNdw4HeUqC3GLAXAdta6/HpwWP46fLVmP+3l3CsOf69esXBo30nm0hHHyKW7SpHh92ZECjTu69t2xvDXW9p7cW6DUfY+4m2Q9HjEB1KEDB2eAEWzx+D91fvw9sf7ESGSwNdr8j08Om8ouZNDGRKXXmVK6VsG1HCfvveOtS2xTqp8Y1vm0D5pzuPwOXhxQ15qVa8devlIeoRk8bsazWK3ae5qm5MrO6z52QDo9MkM+rWve14bcLPN+yvwqnmzvjXpfRgp94CalHA6vWHsfyrA/i6ojoywyS9uNNERcRSYa5KgCtbA1eeLtwF16JG7yA9bCU62PO1sBVpMXLBEKjMYaonPcY8qQLcKQLSetUoFk1xaxq+1SaKiV//JfadUtH5rlujqxJvVf8aroAtlOujSHe98zC6/AaU6jpgYdprYZOBOQH9In0H/KKGUVzI6Dz0iWp4RT0RexgnnN5rdKeiy2eCQeVnrwDB3SDBcG7UKkidEPSL2NO5Bg3ObRhqPa/Pohn6rNGZimaHkoeY/AKJ5MpSpJtTk2SgGvpEBMtCELC3OZM/Ven77TYzUo1u9r0ulwntLjNyTHZY9V5pH8LgPrxPAjJNDtT3JlPvSEzu9XkUxNY433N7dPD53dCyzrSARhuEj3UITETRETAoClCbNTr8YtxC3Lj5zbjboAyEinVBBiZklmJcWjE7s945uQd/+3o3e4D0Fd1i939tMCTHWazJwV3jp0dE7gm8rW2owNsneOfb4WnZuLtsFooskeMlILe9/RR2tJ2CPxhAh9PDQH6y4zcwNw1LhsdvkJTIiCrw10vPx01vfggvNeRRPGA0HhVYY0mK2GpF+FP80PSSclK4ADVUbEpRaA1RtVy458uV7DspOj1+NHEWbiqbGDd78bOZc7C9oQ5ODwExyuKEMzfEYFBeN9taa/B1SzUeGn8WXlpwCR7f9zUOdXDOOimWpAQNsLeRqpHUkTLO6cHGTHzZLg2PMiZvWtunFVtSUZYRKyWcKFNDc+WjyHVsHTrbIGUH6KGvJoc3ahV0XPZXN2LvqQZMGtR3U7REVtfVg/s++QzlDeFCbNrUOSOH4pELzoZFr8d9l8zFbedOw/+s2IDlB46y+ZT52/JVHFQJ6M4OwtwcZ7IEwFYo4qX9e/D7/LNjxnDR9NF48gDvTZDMlJFguvY6bE6km8Kon2hXNJ9EwYnoUsuoEoBLWZdOUrh6uUiVn73K2p1Opws3vPkBVt91E9KMkeF+m4eDy/5QgoiGQ+djMipZc48d7XYHclJIZojbjj0n+8RE7NIIAumZJlyycALjlX/vN8tQ1xRW4CEWjspOqmEC3BaS0BSkbsGR6zHotNhaUROxX/0551Ue8qJV8PgCaOm2YUAu70EyOCcTH995LQ7UN6O8rhmvv7sNNocnFrDKid+o6dHrEsMot6+PKul+LPflvhPJ63cIlJNjYgOOVTZh46c1UvYuzhEXuNoW0aEEqtfRCIzLH1N3QOs0haP1O081wNzjg2ihIiG6zQnQ20TobRSb8OHl97ehpcOGh+6MLX7+tppwWkXntP2rzB2w483qX8ETkOkxcnEPj3hlauxMxz6REZAnzrpaDKdj6frVU1MsASgwz0K2oRS5+jHY212FZncrgmIdap09ipuf5O2zB4QaOoL+8e8BsPu7cLD7Q6a3b1JHUjpko3F3ek1ocMg8Xr4QFdCSZGUix4B3vAxzB2g5d0ALK6n8KIARryGQwVjyxxOn2pB+PuD0adFgS2WOAaczuWPoskpLNzrR6TLB6ZO6wcSsOfF+UDfcvsJ5HrcOequXqcAMyNTjKEVPEhjRHa4ZGdsRcKg1N8mDjG7+9AL2tDVgR0sd69xKz4yggaqtAbjUrIhV9KogGBMXaLMARhD4XhS4b3HZsPSLV9DUS+cvf38fRVIrDuHmson41aRz2Hv1ji7cuf1tVNrapPHyR7DBDHhcOimDEWtVvR1MM94Qp6NrMptQVICPbr0GL2/bg08PHYPb70eu1YwLy0bi7c6d6On2I+BQI0gPLGOQNbqS9FcZeAhQ8zDlJqUJ7vV68NvtXzGN+h9MmBGz3cEZmfjw0qvwq41fYkdjHVfT0QWhknW9FaeEDMb+Z/+X+Picm7DywhtQb++B3etFmt6AP2/fjI/chwAfpc+TxFyUhSzyiSBvR0Y69Pwlmg/ReaiJV4JT84HxZ0TQvsgp29/YjMF5GazoMihx62VjIDmRboG0IEX21cQiiKOCS87Ymv3HcdLRjQ1VJ5nTWZaby9R78hWiCYms0+HEla+9y34qjXZ77bFKxjV/+/rL2XasJgMeunAeAt4gvqg4Dq9cmyNpzrPIeIqAHrPIVXOkOnjqdutNo0i/gPfKD+GuWdORnxI5NtJAT9Hr0etJLu2oZBtSYSUVhI4syEFpZhpqO7p5IJg67FqkOgapXj+gEVln4WijYlvFVEcYAb8elxsflx/GTdMnxXQPPuxu6RcCNsWRfoy7b1E3Ua+Xd7XuK0Pz2E+XYsbkwYxi88NHPkBDC58H2UJNZH2AmeiMRsoChZeQz9eRhTkor2lMKIkaY6SQFAQy99vQOc4KUauCSR8p8UzjH1ecz17zhwzED/7yIerbemLmLVraND3FhJEDE2cdhyRRyYlYLi9xhtbpjqRMxTXWxCyIXQdqeG1JHxxeyo6EHMtggixFOAkKUoJ2pKsgagXe4yGOD7jqq0O4eOF4jBjc/yzsafu/tdMUnX+TlXevhztAUlWxVwYH6r5k/VXgEqnhE2mYW1DjTEeL28pAHYusiU74Ag2YnXUJhqUMx5Ul5+GHw25EQLSHYtYxFXOS0xBrAqsDoHH6RBe8QS2T2GRUGTEK3ELAge7CiHWSEVBOBu7DvHuC7RK9BAK6vEZ+X5GyZFwJR6KQ9KEaREbFuvW9qUzWkmQyM80OGLU+mTGTcEwU+S5N64JZR8VGCndICEKrZoTuBA5O0sQ3H5OgwuiUAbhjyNn4x+Rb8dk59+O6UeMTRu9nF5bioqGjYj77ouGQBJaDTJ1Hp/FDq6ZOv5HuG5Mm9ajh94mwmtzISrUjK90Oc4aLgVDRS42rZFpUrNF+zsoejMuGhCkK9OC+aPWraOolikEsveTlQ3vx/JFtcPg8uOHrV3HSxotQw+ceX6+B6hWSVDX9szz/QVkZ+P3is7H/Z3fj8M/vxaYf3o4H5s3BO/OvQ0G2EeosNzSkjqMFAmYRfit/0e8R4D483JA9uXcrOt2xNStkwzKzsOziK7Dhulvx2oIrMSd/YCz9RmFURPzmcd4MhopbqRfBok9fwgcNBxA0kaPRP8DCmgtFN6wSKOJJUTmuWy+4KIfO6xCUtCCNoMJDE87EkkH8HCMaze+/WI+yP/0Nl725DAe62uA1SA2KFLcH1vIiOWmcdVPlC8dbQMT7Bw7jwS/WYG1lJdafPIWnt+/AvOdexMeH5KrexPbm7nJ0OJwRkevQ2ESR9Q7YUMlVmmxON27607v4avtxaDpEmJrBXtRYil6siJKyLFoBnkwB9hL+8mRRBkUIOdqPrt8UdyzXTBqXpCaGzwVLxEpDJSB6yfQx7Px+4FxeTKlIIPIsA1GeiCWhEZisJG+4FV4lKRUlo5nRomuORjaJI7tq8tgIfzCRDcpKx7mjhyeN3tPWB2alI8sSSTscPDCnT3BPTs6oYfkM3Nc2dWIHAdEEAJ2Op2APYNHYYRHFzhMHFeKF718Cm9sT97sau/SMUH5Gv4tAxkE7NG7K2ngwujQXOWkWRvWhSH50fUhRThre/8ON+N1t50IrKS0xYE+OWNRmr140KSHdi6w0Ox1TBxdHqOeETBRZN+Q0lwY/fXIFrn/4Lbz35T44oyg9A/MyIr4vysXRdD/T0U+ufENxC8pO9IePKzdBi/1Abt4WWbtD14ovQwO/Vc2KkV0ZKq7IozBqprZq/SF8Z0xM8vovsdMUnX+TVdr2JD9zklyTBMQbXak40FMIj5xvZjKafpSlNKHE1IUG5yGsafo7Fhb8gH1m8/WgwVWfZMXxGiRxog8Vu9L9usGdimZ3GtOwJ6P38ww9yNd3o9NnQbMnFQ4f8Xh5rJZoIjxqrmZFsUSNUVIV5GcARfjpV04rCYNnKkZtc5uRSilEwSNRKIIMrKeZXYyHn2x/MvSFqHG2M1BNUqMpeg9bN2ULaIvJ7nulhpEoNWmxr6sSQYr6038qHyjP0WwjClScLbK7ffLkNz2sCs1psKit0Ko45/nhmQswODUTzx3YiSYH0bWAVL0BN4yagLsmTIdWDgMr7M2qndCpA9Dr/Ox4hZ+nfnj8aniouRfRdbxqmPReZKZGynOajV6kWZ1oaUmFnwo3U70hGoFyXubnDWMdfp8/th2j0nIxK28g1jeeQGOPI2H9A83B38q3osbTjCZXmBMdOVd8zFqtHz5vJKom8Dk+K59p7f9vjACURrEzw9NysP78u7GusQI7W2vw/u7jsBP3NpHzySpXI9+jovFPTx7DDaMSK0SUpqax128OfM6AYSIjcLqrrY793uy04bq177KCZz74JBHy6HFqRRal55E4KQMR5AW6KocAFcnmkPpKjwpzB5RiY/MpdqdX+wWougU8fWwbLHYdLp86Fle/+i72tkmUl6gYAFMv8Sia5PSFGyR2Du8wHbk8ATIfiZ0r8JcclfzJ51+gJC0Vk4rkYEGsfVh+OGkUk5ynTw4cxVnDBuPFz3aiuqUrhmIhZ8A0DsCXqnCMCCDJmReqdfAR+gFWVVTg3s4ZGJTBqRyy3TRlIlYcPoamXlvsmEj60c0BuShLFVpNePKzr/Hqxj24cPJIPHr5IjyycgO6ne5Q5Jtpt0sanXTvYeo5bqJQyFHWJDJjklH2KtqWjB3JuPo7qusSPn5otQ8smIM5QwegJCMNDd09cQE0vXPL7Mkxjvj4McUoKkhHY3N3XB42gfq5s4cjPY2r/Ow/1pB8RySe/ZJxo/DLK85Ge68DZoMOmVbuWJj0sVk+GlHqcScryHUU6eGzqtkxNLZ5Ya73QOviV6ah1YuZIwbghj8tw7H6VrgpVaUCxg7Mx21nT8UZZby4WqNRw93jgaorALWB01qUUREZZH9x9Dh2tDQwIH/ptNFMMSnafnPpAlzz92WskDY0r9Q4zUbnmgiv4EeL04aWThuOVbdg2bp9eP6nlyMrjdOgqFnXG+v2hPG3nE1T8JPIQbQXqXmn5Tg9QqKNggGMS8h+BzQ8jhVyztlq6TLQJqhZUonwpqkg9ARDvRoCAREt7fx5dtq+HXYa4P+bjCQnkxkBdyHB0ahxZWBXF2mQR948CUjv6y5mvxPIL+9ehbK0+SgylaHeRY2w+pL4kEth+Z2CWPpWCikAOG7PQRcj3So42KIa9a50NLjSGMjkUXEROrUv9DcZ3cMcPi3T7rfovNCxmgEBHkq7evUwar0sMh6XHgQ1A+PUzMuo9iGgU6HXZ0DQIqLXZYCPdY2N/eLtI6fjp+PPxJ6OWuxqr0aLpxF7ereyz6jbrUYTX2mCZwsEDDKOwd2j5uFoby02tx1kMqIDzHk4K3ciVtYdwsPlK1nzLrmxFQEKynOMyc7GkXbqupuoME3EF617saady6QNtebgkYmX4MbRE3F92QTU9nbDLwZRYk2L0K5WmjcYQL2rDUZdJD1LNoOWqiwAt1fLovoyuI+eX406iNzcHjSczIK/Sw+1IQiLRY3B6enQqdSo6unAusbj+LLxBLuJ03EsMqciSxfm28YzlToIlbkHn9Tul0cXdzmWidFQDULk+/TovX3UNPxfGHGKFxWNZK/JKYNw1+efJlyWRdDjUEtaHI5+b6u/y7xZsY+BeyVAFPVBBjh51D0BF54kRYl6YwjwJlwKig7RcgQoAgABFbYdqYU2ynPwIYg/LF+P8vpG7KXGYvESURJwUBkpA5UFmFUob29OeJ6zZRW+SvRSLNOYQECKouEv7tqdFOB3uZKr8NC42h0Opjjy0dcHExb8sWyGVFMfpM7FNJfyBxKooYiopldglJ5nt+/EY+dF8oqp4Pq9667AJS+8jWa3Izx3RPF28hffMb4+knGk4lXa0s6qOlgMOvzx6nPhE4No6rYhw2xEQXoKrnrp3cixigLLxrBx9cEEJAehLC+2oRw1H3v+6qX4+4ZteG3HPh7hpWMlPRqMOg1+ufgszB8+mP393PVLcePLH6C1lyvD0JjlxlE3zJyIiyeWxc6pIODXP12Me3+2DB6vjwE9JbjPzU7BD24/K+IY9MfofkFgviQ7sj7q7LFDUX6qKWphagoWhLY7CGNH/Gct86EDwIsrdyjq0fg+HjrVhB+8sBy/uOwsXDZrLPvs8/WH2XNNS6ozXk5rYRFtutdmke68gIPUXKwFUFdU441Ne3H7gmm4e+GMCCeoJCsN7917NZ7/aidW7CbVowD0lKWRj22U49DY1oNfvvA5nvnxZey90tx03L10Fv7+yRZeo0PnAoF41mBNPjco+0SZSYFTzvpoHOYlLr28TUnYTIhyDEIZvDgParnHhidVBWM75fL5eZKeklwl7ttkAt0+40CkuIrT31E7TdH5N1mhcViEJGa0EXh2BHQx1An6u7ynKEGkmD9KD/fm80g81Njf9Rn7REV9yfs0DuqJkmNWu1njKoqoU4FuF5FDE0RsKc5PPwNSVEkJ7uVRGXUBBKFCh8uMJnsqmuwpjOfuDWiY2k08KgO9U2LuQomlHhk6J8waH3M4Co09GJnaisE5bUgxKnLfAHKMFvxm0jkM3NNNdXJWKb4/Yi7OLQp3b6V6A8oayPOpnFv6s7ItG0tKuWTbqNRS3DHkAtwz7GJcWDgTZo0BVwycjDfm3Iwz84axLrAGtQZTsgbimelX4+V5V7Ix8I60saY3+uRACbOT9jbcsOVl1No7GLAhhZohaZkJwT2bF1FkzbxYMXKCu7ZOE4AYAFLNvI4jUW0FFfuaUtzsjh5wqXH/qPnocDuxu70eXV5XSOufZFPpt0ZnL8o7ojpxRg4OllQ3U4zhc9vH4zuU9SCTKVhBPH5oI7Y2V+P/0s4bMgxPnHMe470rR8r2l4qL4zjYRGHJMfWvc++ZBUMSngdk9NmZBbzD5Wc1x2KjvxQxS/GHHp5RH7HXJWNHEUE5EtzLC+hF+HJ9CKqC8OuDCHoS5xPo/U8OV4SLg+MZSfCJQfzsgnn4n/POSQzuJdPGCd7JVBZfGt0o4n+P1rvh5KmkNI++ePqM556Wim6bC44+VEvYg90XC+6Vv/tTCECJ+GJXRVxnIc1ggK3eCUMHoOumRmKAoR3QOmMBeXS5BKmq3PXKcjY3182cgPPHjcCEkgLct2AW+1xJ/wnVDvVBGyAArocaN73wPm54/j38dc0W5jyQ6TUa3L9gDj6/8wYMSUlnEVd1UIAmKMDt8uORFeux5QQvWh2QmY5V99yAX1wwH6OKchhgS0s1YfygfLjdPjy9ahve2bCPdQ5W2rAheXjhbzfg3AVjoNVpGH3ElKbHVZdMxXNPXo+M9PA1NGEUD0olM6LmjIrD5fb4/Phwy0HWLEx2pljjMB/VUHAVqmTml/TfY3xa6bHyyIdfsYwBWVePM+J5QftEUpPOXNL1j51/sufX7cAnu2IpZ/npKayh1fbf34XPf3IT9CxQFd9oXbuP1uFkQ7j/zc2LpuJ3Ny0ECXdp7CJ0PbwzM6sh6ZVUiui8IWdMKiWLOWWknSHZTFGaB7n7rs6o4f0z5EXZBwkeJCGjSL7AM33SuBeeEUsv/daa+N9P0TkN8P9NNjFjYdIzh66jGncGXFJOTL6xtHoscLIrKPFTmApJGScfQbS7OUgaYBrSj5y/iFStCxaNh0lUytdyizsl6VgJnGsFHWysKDX2HiDTMfQsah65Hg4eKS3NPX3eY5SvoMDoQjrdtSRevLwuBkxVAQy0diAzzYbS3C4sHpKHTxfdjC1L7sb1w2PTxkMsJRHRCJojl1/L6Dp0L6YXRfYrWnIxP28qSqKUYKJtYmYJ/jbtSuxe/BD2Lv4FXp51PebmDUO20YzHzzgX0/KKIsCdoArCYPJAp/fHgBlqNvVi5eak2wvNlyjiD0fek5yE5E8vor8Y9PELosPrA0xmDoDumTwDr9dsR5OzVxq09EPOzpDMo0hF4InPBR3bHnc8wpSlhFtX7IEE7qnJmQqo6mnHDevf+T8H+UuHj8SOW76H5867EL8+Yz6G52ZCoFMxQfaM6F6LB/VP3/naIZPY8omITJQBunboxIR0CjKRCgtTqYot8v08qwWPLDoHk4ryY5teKTZCUbyARWQgjrF4pAe9KAEUamnvs5DcZZSDkMSabXYMzczE/bM4AI2sjJRoKQS47Pz6ZlkIad3ThhajbEw+08xPZn01Abti4pikwyVwcem4Mhji0DeSSokmWikJAZiBgCuIVeXHYj52enj2hZwFtZeix/x91sONs+XCFvIkwxJ89OMnyz5nOumy3T5nKp65egkmFBeEhyHRJsh5DzdBi1211i9g2fZybK+px86aBrywYScW/ellrD54PER5ufP15ajt5LKSNHbZYXN4vLjz9U9Q0cSlNs16HZwBHw62tqLb40abw4G9dU1459BBPLV7B/748QYs+vmL+NMHG0JSqGRZ2VboylJgn2pEx1gtqgcH8bmzDtvrOC1NtqLcNMyaMCg+L13KCBBf/6PNB/HVvkr4/HzHydG68c/vora2K+YcpGNgLzH26Qg5c2OlYUNOFO/RheU7D7O/83NSmLNFfRVdmSr4TQICWqlOI8FNlt598audCe+ZlFFpbu8N7VMy23ecKLZhM2i10PRQT4Go04tiEw4weo7GIbLMAOuzEK3gK1IASI+AKfLmMm14CVb94VZcu3BS5G2nH1x+Cj6R2hEtOm38AEwo69t5O23/PjtN0fk3WbouD4sLf4AVDX9jkXaStAzH0INMrcYp6nHUVYAMjYOp6hDo1qp5xK8vc0tiwTo15ynq1QakaAajx3c8oRymTqBoofSXgivPnYwkvHKi8mitaHISnUdMzrlWBxXNqRAq9DsjazJyTTqsbjwMp9+PPGMKiky7QUpm8YyeBRTRN6gCcAR1+NGo8zHAEivzJ1umPhWzs8ZjS3u5FI0mcK1CgIU3+NgcHh3Ozp+K308+F/+M7emowf8c/BzHejiHWW8BcvSpGGjNxN6uU6HtRhvRfFbVH8Cvxi6GJg7fXmlfNO3Guub9/bpUqdarP3WqRZYUPH/JVThqb0J1dWINZ/aMorqKJGEArYI2RJ2E/UxVKJEJ8PtVUBH/M3pbEuj4zZ41WH3ebewhf7y1HW/s2s+KJwlITCouxPVTx2NKSd9Si/SAJWoT1TNEF0RStuScwfy6mlRYgIs/fYsVJ8fjeN8zcQYyjZFFhckaWj065Xzcv4M03xXHghWkA+cWjESm3oxGRy9GpGczZaJ4UXEC+TD6MTmtGFcMHgeHy8uA2i8+WgNvtg9IlFwjc6mgsamgoktTI7V8Y+3lpWMpt6H/BpGqTDPf/zunTUNpWhoeXLUGDnBES1E/iiDyzq18UOZSI35yzhk4Z+hQRrH4+9bt2NORuBERXdvDs7PjFlkTVeTPazdjS2VNwnIXemvhyKGYWlrEs3jDi7H3RH2Y76z8juR79KllL9cgUCOirfuxeEKkhKvFoGdAmMBxaNXKbEjMuqnjKDUj4hQgrwVwqn3suC6ZGI56njl8EHsRIP/DqvV4f89Bdo6wXK3Ek1ZuJ9VggNPugY/mVpZYpf2joudgEA8sW4XBORmo7ujGiZbIjuihkbGAh4iXN+/BHy9fhHXHKvGnLzdzx4KaVNG1KTkttG13GmUrRLyzfh+7tu6/ZC6LrN/86gcor2+OOM4VLW344bur8ONzenHz7Mmh93/5/UW463fvoaquPVSHIEtBUhOmXbUN2NPQxEB9utWIX99wDmvEVVHdGjePzUyjRm+pHik18RWOPKkaeDKjQu/KdRBw1gMnm/k9cfHZ47DnYB08aVwaktFg6N4lF1fEm0tqGtbejfrOHhRnxpde7i9FaUdVHaaPG4DCDF4w8u4XexN+nzXGY3KXCooclSHIfQVVgK4ziDcevxY2nw/7qhrYglOGFmOgJBe6YPpwvLl2r2KlfajxyNsRAa9ZwJKlE/7PO1b/K004LZN52v6VNj59ATL1Rdje/gkruiUAWGgcionpi9Do7sHm9q/Q5etAbyAdw1LOw4Lc89Hl9WNl81N9rltu1pRvGIJWN3WjFLC04Ao8VfkYUnWe0LUq/9QgCLPay0Avv7mGwahGCMLbR/GoXqVDkOU1k5ushKM0eqe8qxaVda0s4kmA1+7vRrYpeYEOjT1V68a9w25MCu5l+/6QK1DrbEatsykGy5jVFjwy+fsYk16Cemc91rWuQ3l3OYtYD7EMwYLcBRiZkliXfXd7DW7Z+loMaGm021HX44RK0ECt9UOjid9vgMAnqaikqJJzFpfVboo7h9HGsxxa+PwqxrVPdJ+l93PMKbht56uweSRtviScef4LIKiDEKMctZimiux3ivjHohzehEtEIElqmtGletpxuKsFdc29+NHHn7E1yCB43fFKrD52Aj+aNwvfnz017jpI1vKVip1448RetLntzJk8t3gEvjdqJkamhznK9bYevHl0P9bVViHDYGI6/TZvGKyRDv49E2bg1tFhUNKX0XX0yqF9EN0aiGqpYRi9Tz0o/AI+PnEMK6qPsM/U5GwmOaxEcLt/2mxQ0+lbPvwodJ5RhD7u4aLNuVTQtlIDrDDYZo6TBO7pAIWODOdicc8j0SkggumqT1Fw488fPhyzikrwvec+wuHaFmikmJ98yK87eyLuO39OxIP+8rGj8fdt2xMCfMLh104Yz5w4qnlg+x8M4rHVm/D69n0hEMHTIIqO0UzaUYtrp4zHvXPDvOfbz5uGO56sCy+n3Cw5O5Ij3N9M/PHGNvx11dfYXVXP5nX6sBJcOmMM69751uZ9zJEIsdMSJloF+EiW086518YuoskAla3xQTcps+ytjZSCZKuWeMPyuz7Rz8F9xELh331q4EfvrYLHyzO0iZJxtJ3Vh47j0csW4rmvdzLqB0WF5VsPHV+SEaVGZ7Lqj+ABo+vcePZk1nNgf31TXIop2Z/XbMY5ZUNRlM7BaqrViJd+fw3Wbj2GVRsPo6PbwbJaTXa75ExQ7xb+5W67C/c9vQKDCzOTPpXoM2exCSMG5sJ5oAPdnZxqY7EaECgyo9XSH4UZIVTEO2/mMAxYmYUjPV3hT/sOvDNLFqEfMSAXei0JIyRfGRXwfv7oCVwwcSTuWTAT5ccbYvad+ely7EdRhx1xGjDHTIBKrYbVYkSeMRVDC2JlOUcNzMOw4mwcr23j0xSUMl19KEa5M0mKWcBjqzaxIuXvDMgXEzS1Ot3o6rT9s1ZsGoHikp/FvE9lPYvylzCAyUgr0kWSZxBRZMxCg6sjQXdYEXqVH1kStWVX58fY1fmJJGNpQYGB5wqIjkJxIK+ogtOrQ5Gxh3PnWTaB9IYFHuGGgBSNG04p0p3IXIm7o0eOLs6QCdCfsLVKCjccBNF+92U0J0uLZuCc/Eit50Rm1Zrx5/H3Y23zdnzRvAUd3m6ka1Nwdt4MLMwjfr0Ruzp34dmqZ/kYpIj7/u792Nu9F0sKlmBp4dKIdfqCAbx4ZBeePrEWAUWzML9PBY8rTA9gc+7TM8BLlJjoqDXNy+2b3sfj05egwCz3EYg0h9+NU47mKOAc/+Zp1Rpw2eCJ+Kh+Eyva5duQRTQjycDbW5rgl8M6/bQcsxljM3KwrqZGAeB5HwBRcmKY46gWQVl7Vp8R3lumhBRmvya3I60t+M0nGxhgVp4VMth5YsMWjC/Mw4yBJRHfI5B+1Zdv4mhXa0jNhuZiVe1RfF53DC/PvRyz8wdhU/0p3Lr2YxbhlJ0HmV61ZNAILBkyCrMKSmHQxGZNaEytLjv7Xi7VXigKLHa3NmB/u1T8Rz0HYuaXHBxSZ6JgIVGTVKzngBKD0izR2O8om4ZJ2UU4528vM7Ab4nHLHawV2QF1j5q96LMYNdlQU6zYeSdgQNQG1lU1GjlJf/96wZkR+0iWZjbinR9djZ3H67B2/wk4PV4MysvEkmmjkJ0aW5CdY7HgsXMX4oHPvohw2FgnaAGwGHV4cP1aPLR+LWaXlOKOyVOw/mAV3tghF22HwQvjCZPwiQooTEvB8u9fxyLpSqMIftmgfByslo6FFHlm0p9SlLtYl4LaYG9izjbNKwWCg4DfG8ArX+0OOSgHaprw8le78PurFiIvzYrGrt4wwE9mjK8sQm53ousR4exNrKefiMKi3JQ7IN2IE/HCAJxo7+TR3cRtEZhRhLzb5UbFoRYm3xgBEikb6+AFyp50nt2g+aE5+XJ/Jd7eXZ4UF9G9+4M9h/BDqc5AbhB1wbzR7NXU0YvFD73E5BijTR73ycbOvpIu7HgVzS7Fr/50E+prOti1UliaiYffWIs6qqdI0qWXZW2CQSwYNzTkZE2eMghHv9wT2jeNK4iAogFUPKMMoRx1j2cWox5jhhRg19G6RH41O0+J+kK2at8x1NV1xp/fZE6l7N8GpTouixaPvrQWFy8Yh/HDC2OAOOtKX++CKkC0G36sg8TVTxDJ5yo7ssIQUNPejUN1LRhTcloH/9tipyk63zIjnq7S6CK8d/hF+On+F3lRSwwBFhhkaVc8n7nGOdFsKLrDpAPZzYo/CIwqQCsEUeUYixsGjodFI+Jwzw7UOitDa07XOdHutUjymLE3AVrupL0rQVvLSPNHRX0pYs+BW7ich75Nzam8ARV0FNZKaCLGp/cP3MtmUOuxuHAue0Vbh6cDz518LoZKI/+9vHE5i+aPTh0dAve3rf8Im5oqYbRy5RqyQEBQgPvo+RLgdOhgtnLJTv4ezYsKezvqcdmXr2HlwluRrk9OAyHVIS8THo5FYvRXpkHEB/VfhrLHch8BFohhD0gV40ZTgTMH93J2JfGxkx8odA5dM3QiPKpe7Hc44fLQOUYRIRFqpq8mRCrlqKmba/g89frULIodJG32ftR+76nidA4xCfB5bde+CIBPwOTmde/hsK0lZpfoXCMH8saNy/D3WUtw77o1TG0l2nkg8LiiogJBfxCVLR2we30oSU3FecOGsUjxMwe3443j+9Dk5JmmHKMZN46YjNvKpjAq0Pr6kyxjIDtYsRYOG/OoWpA5FnpBy2hqZCMzcnB72TRcOGAkdlbXo767N3LfbSoELeH1q7vUUPeqeVCARXYjlTCY/GOiwyx9pnLTgzzyIU6//Xz+XCwui19/QOcEcXfpxeZYopEksgtHjURJWhpe2rUbX508BV/AD7NJjx4fdTkOd1vdWleLzbU1LHoct5qBddHkoKWhsxfHW9pZgarSalu7w+Cerlsjb2CltMYeOzQaFXxEh0owcFLSkW6bEcCQfqcI7S/eWY3Xf3AFHlu5Ebsr+5Z+lPdR+buzJbE60OwhA1DR3B5B41IOlanbyJyjhBsUWX0EL+1K7oFkW83YWF7FwH08o2/TZ36q0Vc8r3ocbjREnaexwxBxsj0xHXDt7uNxi8tlY/cDSnkl2QWZdTZv5CBotGoMGML1+Zd9vhfbdlQhmKwHB/2jA0aX5GHq0OIIJ4Tx8KVoLxWSe1MlWdUE3R+L9BbokzQNc3t8OHwq3I1Zvjyj+fLyT3VvEBUtzZG7Ln9B+TPJvpEiFNVVfLXzONZur8Dl54zHj67jwhSy7dlbjYaaTphYtkYFv1mFoF9kSnbKfiGszkYlMCcgWkazudv2nQH4wmmKzmn7NtiUzOF4dPyt+NvxT1Dv5IVQZFR4mmOwQVSpUOfOQL6+l/H2A1DBF8rbRRpdz2aNH98fOglzspew9zq8nahzngzJaqoFEQNN/4+99wCPo7reh9/Z3tR7sy0Xuffebdww2Mb0GmoooYQQEn6kkQJJgCQECITei00xNmDcjXtvcpOLbMmyet2VtH1nd77n3JnZOrsSyf8jkPjwLNbOTrlzZ+bOe895z3tacN6VLunuB/2HrLgWSWCKvn+BefzjjTA+P+nRq5mXXvZMZuotaHR3MHBp1Phg0nlZhV6yk505KDTakKYT1VzCTQUV0nU56GsJFWD6d21ry9aECaR0zPWN64MA/5MzR7GltgIqokmEn6cn1NcqtR8arZ8BXJbY6KOiU+JHqxPrC5DRd1qDvMHvnzmABwZPjTk+KfgUm3NxztHAoi1U3IryGcI96PRX35QkNLnbIpkIYZMJcgRNzhyC9TXn4Q4LC1MbSdKOCmcxb2pABX9UpVm6br2TMnBbyVi8VbGFHVCnj3QTUx8SvFNy9NDkh+2TgFmHHuZsAU5eJIBFuz05icd+vqU9oeY5gfF9VSFA1Wx34Kr3l6A6qSlBUEJMrn5g++fw+bXs0Bo7B32LmInqTQmFulcfO4vVOBvkBP9240ZokoEOEjgPu9WbXA785dAWHGiuwaszrmCThtg3tYJJ+2AgnxPghherFt6B4qR0GMMq+coJkUG9dnMAPCnoSPJ49K8M7uV1VF3JiEQ3RRMKxZNqDJPdMwhYf+vt6JWazia1NGlRCrtTNdoPjh3Gu0dLUdluhV6txsW9++GukWMxOCtWsnFEfh7+cdlC9venZcfxyPq1we6QTQazVDRL66MkVmWQz3AtB8b5Dgf4JEn58c7DLEpCkwBeD7EyrMIQRVQmrSsK5EuN0dk4aKlQWLx+kxJX1x8px2t3XYlJf3sFrpbE1W3J5AmDfBp1jcp1I8gm9O2B13bvCz0mcgFAqeAS6ypVF/cbu24CjM0CXFnyjpRPqMXmwJ8+2piw/XQoUgqSgR15vIuyUpjXmu6HmJWlfie5TJMuEg16eR7rT55FWUMTjp2olZua8OjiJCC+paQZMW1AcfD7S0u34b0v9rG/VXpR2lJpoCJf1pDiXDx/5+KIe33CoJ54bdWe4Hf6xdgcgDNH6vioIi8UERsocdrj2dbDFSxJW+6i8H9lI3YfPY+kEqSVmbD/BvNFlkWVo6AfrytFn6IsXDYz9D7dt7cCajXlqQWgc4gf2Si5mHnzAwI6emrFqJ/CWJtu+f7IZP4v2AUP/vfExmX0xx+GXoE/HP8zfAEVNKTSog4pphCor/cko1BvhVuOQydgK+5v2xAE+MNTp2BP6+rQr6wGhoCepja4KPmX5DfAwaD2osGVDDvE7DOmysW88XLsQByhyatzReFEXJI3HiuqD+JMZxPMGj3m5A2GRWvAA/veRZLeDZOWjwg7Eo2j2pUOd6ATuYaOoJIOrWPQmHFL8c9jIhz/jp3qPIUOt5YViSKQm2RwR0hakif/dKeoQkH27ikxASkcYJP5eXEjncEHDRUeCst3UOl5aHQ8eK+GAf+An4O31QDBTjIHHJNnfPfwIdw/aIoiiLqu53T8uUzUx6b+0JMcpkAfjn1P1hjQ4BYrxyoZo84AuLnXXHxa8UqMtGaKycVoNbJ5fGp0OAws8kLtubzHcPxy5Cwk6QyYlj0Ab1fEqv8wqhWjAHDMey/2EU3w1PAThYf6y8shJZdDe8ANlTTqMKcYeZ3Ze0Q891+Nmo23vw6jZsSxcPbCb9dtFJWA4kfFJaMJjQgQ9M0cjI1q+IwCPAR8FFCDPMlwcz4EWEXj2EeK1thYcxZfnDuBIZk5XarBBLM8o4zaPygtMq8kySA+Z6TX7svzBkPhMthT20PhECo8Qzr6nF3UpQqdROJRnk1DNYAvXZyckLruT0dOwcenj2HJiSOwelwwa7S4smQI7ho+FoVJYid7/DxuX7kcO2vOB/fl8fux8swpfHX2NF67ZDFm9hSBls3tYuCPkpVlus87pYfE5M0EPUU0ECr4lCgYopFuhLONrXhm9XZsOVkhjikmEcAztd84QyG7ujxwcY+++PpcBUu01ng5aJ10v3YtTUn3x46T5/DgpVPwwnWLcPvLn8TXH6c8J6+kwR9mBp14cRrb7fhk7xFsP00VXgOseum6s2fEGz0YSotMqPzLVfPxzIbtqLGyDOf4HnwfoHPS9ZE0z6O7Qwbi9Mx65dE8gTeYF/XkOYluMnN4X8w7V4lVx06JAJLGPSqQJtWUY7tWCxiQGeJ9U+GtB5d9BavTxWpDqDoDIKVaLm7FVak+hJ+KvMV6z9lcR83htfuuDFaWrWm0BcE9mcZD9EFBlMpUh6Igw/rl456FEzGmr5ikHW4j+uRjYI9snK5phj8gTmyImmSuC8CbQnkV0mSdB3SdAvtMXBSaYChZs80uOg+68ASwfo70KcRejC6898HOiToUbfLhqv1YNGNI8Jz56AlamKl9dB9JY7usxR9luakWjOgVGU37TpsQZ0LZ3eSc74FdAPjfI9vQuAYmDVELlAp5ULhWhQ6/EWqWMJv4qW/3hkBhD9MA9DEPx7GOMsbRN6hEdR1WaIS87BrJ2yAAfSytTMvezota4ozHzzy4ArINabip10WYmjUEGXpRt/rngy+JOG6rxw6D2s/APWt1WDPlv5s9SazudrrexXIH6pzJ+FHJ7cgxdC3BRS/d84420bNkToMuTnXU/U01+PQoB6u7BywWN0wmDxq9ycw/lKZ3sg+pwoRPKKgQFBsT/BwD6iQjKbeZwDsVcQo/j/Bz02h5eJ1qwEVpiRT5ANQ6PwwZTgQsNkxa8xjGZfbBtb0mYVJWSXC7i3NH41RHDT6r2RFMSGY0GHZt9Li+5zS8WSnWPohndG2qnPURIXAqiGUxxOqFE+jPSnFiRvokPDR4NjIMIf3q4Wk9MCy1CMfba4O5E8HzUxNtgYPTJXrHg4Qx+sfLsrrRGXDHTj6Is08SezoLfjtmLuYUluBMbysOVNfF9eLTS3lK757s78ZOOzacqYA/jBLUlakdYOCe+iKedzfcAqQ5n2AdgtTvnjyIpfOuR7reCJvXHafthMqVaxmYwjz3sk3t2wsGrRrtOa6IRLrgv2HvY78lwAC+Jgz0s9Uk7nXEtlHmNxGy4mDWafF/Y6bitdL9rMIy86b7AL6ex4pjR/DFJ0eZTvrVU4ahyejCrprqmHchU3wRBNy/9kv8efocvFF6AEeaGtlv6UYjbhk2EnePGouTLc1dl+FLROeSqIKT+/ZEeUMLbvznUiY5GeEwoDl04lQidi/1TcnA8w8swKayCmw/fY6NHUOLcvHamj1oljTR4xl58cnG9yjEP2+9DD95ZyW8vhB9T2yrKKNkCAVkmNF9MH1MP+wsr8L9734h0sakEzja1iTmB0RfM2nCXpiVivlDStDicOJPqzfHJBKHH0TXIUJJXYcAVyYXmSgqgRxWG0AC1NTeuIXWZGqD1Lbf3DCb0VGowu2a46dZ++n5Cp/HslX9wHOf70CfrAzkZiThhx+KOTCsD+lfI1FHQ3x7xkPXUvG5yEQupt9Oyj40eQhxCJnSzss/uRIl+SxMwYySd+UiXXI7aLJD1WPl2ZtRr8GrP7kqJs8k1H0c/v6jy3D33z9FVZOVSUyqqXorDxhbBfaRhwaKUiQnGTF3anxxBrKMZFPCCGXQKNeki9XkqtEsYhVnyImW1ZQWo6reCmuHC+kpIj10wIB8rFgRpqITvj7NeS2ksU9SocpDyc8WTIvbj//NFJ3f/e53+P3vfx+xLCcnBw0NIRpWtG3ZsgU//elPcfz4ceTn5+ORRx7BPffcE7HOsmXL8Jvf/AZnz55Fnz598Mc//hGXX375N2rbBYD/PbIj7YfiSi/K5groYKFpfxxEImrAq2DWmSM82Yc6mmHnTdCrqCqtcgYto3EIQJ6xA+WdhojldKRUrZElwSayDL0FmUY15LocSkYDVZUzA4eazHB26NngVZlrBxI4BxjXsnI/Xj+9A3UuMeydpNXjuuIxuHfAdBjU2ghwf/3aJcwNlpVNkYIQ6KJXW5vbhHavAb0sNgxOG4xzVivzQNI+fAEKw3PwurXQm7ziC0kVYF76eCYCWYAz0FteBNXqTA+LGhC3nsZEHn7sainHzpbTuLX3dMzMHYxtTSeYp7QkqSf+PKwES6u2odrZxKIgc3JHYmH+eBxpP4vumF6txfTcftjWWM7AuVlqh1INAxqibUJdBLgXf+Pw99E34YH976KsvTbmheJvNiBg0wNJPnDE6SaPl1OD9Bwt2jlH3JeaRs1h+bzbkG+m+gvA1SOG4KXte+HheUVnCtPDHi/qyZ9qbhH36xejBHE14sUzYJEpbStNsagibJgCRVeWaAIAAadszawa8EsXLcbN6z4BH/CHcadDHlhOmgSGW6rOgNGZsZNXSh6dPbovPm06onzgMAAcMBDAFxiFR+0IefEZ8KBkSCrqFOb5lLn6xL33G0gyV4Wd19yN/9u6VgT3fgH6JhUMTcTtD+2rqsGKvy3bwoCW0JMyL2ObRYdxeH14cN2qCInSNpcLz+3dhY2VFd0DOPFMGjum9e2F4sx03PLyx3B7+VjJ0W5QGgj8nWu1Mn3yuUP7sY9sJLW5/nB5hJJNuBF4HN0nJNk6vaQ3Vv/8Nry5eT+W7z8Gl5eE1UVKC3G3ZZoEJDBoMekxfmRPXP3PJfD6Q5MTVrsgAU5i4Mxqw5G6BiQbdGLlTQmUB+84KX2KCiARb55dekbFkpR4fMrdJHqou+64gUXZuG/hZEwaRBXWgf65WXjpxsW47/UVohNCYZtAIICH31yJQl4PQ4cXrgwOAYvEVVMBHpLflCTu6bkM8r6jBymKQtD5Sv4JqsD67I8WoaQwBO7JGluU8wLY3qSOcrt5OJxeJFtC7zPZZPpmdpoFS39zEzYcLMe6/adwvqIFTVU2dg1pLGITEuKjm1RwWzhc/LNXYTLooNWpkZ2RhDmjS7BgwiCYDeJsc9qIPjDqtXBJNJ2Y40r76w7QpK6ZPKQXKpusqG1uj6XmM6pP/O3DKaozpg/Aiy9ugMPhCSoYsTyRHDUceWpR/z+4XWgSl2Y24heXzcDFw/vjf9UGDx6MDRs2BL+rExSurKysxCWXXII777wT77//Pnbs2IF7770XWVlZuPLKK9k6u3btwrXXXovHH3+cgfrly5fjmmuuwfbt2zF+fPervl8A+N9x6/Q5cLqzgoEIPxNCTmwi51qQEmRDRrSedp8RTlEzD/UeDi+Wv4qpWRPxwpl/gBdEgKrjRJ54PPBNHvtUnStmAkHe5SEp4mCvZG6/F7tbj6HVY4NPcCRM8GSSj8QLVwnQGXl4nDqcbgtJlSnZU0fX4Z2zuyOWdfo8eOP0ThxqrcEbk28KevN/u2cD89JlpFOoVMGjypKqVKiyp6DpvBN/q35LXJwcYDrJjFvPq1m7dEYv49Z35bhQ5KcHVCwWo5ekT2Tv+tsVW/BO5ZZg0SSWtClwsHu0InUGbliEVszJCWBISnEwvyGe0X7qHG60utwMBLFJRReAtdRWiVpnKwpMGRG/penNeHfS3Xjj+E48d3gTu0Z+jxo+qx6CRFVCuy7YmgenTsAL1Zu6BHSra8pwR/8J7O9MixkvX3sZ7vnoczaxkrelhFT6+/FLZ2N4QR5bptOIAykDtB0aCJnKL01GkVALTLdf4zSKYEhBj1/JCOBGKNcomNPtwyWvvMva9tWiW/D68X34svIknD4vkvUGdPidcb339w2eEreSsSFVDVWT8vX1W/xQ26TtGJIHfLl+CK2Apl0FTqaSUYRNFYBg5KByi+dCAII3+RnAT9Mb8emi6xnFZn3VGQT8Aoy1amjbxXOP8f7RXMETgLmWg72XQh+Gecairzt9P9LUIE4alDzUsjFwGuc3yjvJTMdTV85nyh37K+MkuIZxwOOaAGw4dRaHauowsjDSg3Dj1JFYcyhE0Ys2OpdrJ5P+WchIVeeXi2fi0UUzmOzj0VN1ePS5L+AO+MBJDx2BpxSLEc/93xVYe7ycee4jKmx30wlaWl2PZ1Zvk4BWaBImAzvaD/GmSXefPN7kfZXXoYmXUv4RA/heZcUd2oa8z/+4fzFKChVyLArzoObpXlU2Ohr1SV2dG0a7AFM94EnmYOsvgkfeArhJBKI9DNwrGbVdI8BU7YOg5uBPVWPtnpMY1ify+qUmycUO4j/nROcxGUIHoz5Zs/sklq4/iBPnGplHevzgHvjB/LG4dPxA9iGrqm3D8nWlOFHeADvvZe8nuryUcExGtSvICHQfKq/FW2v24dWfXs3kMT/bcRTZWUmoqolNOpZbypNvRaos29V0a8KQXvjNuLlYtukIth+rZBMHo06Lk+WNwchMTBdSIa+s5KD3nkyn0+APv78C//fox/D7/WyS78hXw5EfCxNpcqNVq/Dowum4ZMSAGCWr/zWZTI1Gg9zc7iUXv/zyy+jRoweeffZZ9n3gwIHYv38//vrXvwYBPv02Z84c/OIXv2Df6V/y+tPyJUuWdL9d3/hMLti3Yh6/F++cW4aNTTvBS8A+TUuc08TbUeIt+SdDZAyqdKtGoyc5gjpBv+5t24991gOM3CO/kburuR5t5LVZFMd7v6p+J16vWAGX38NeRCwBlTkUlYcv+bljQF9PAF+DKltkafRwO26rjwH3shEwooJUy6oO4freY3Ha2ozjbY2s6qtOl2jCxIEX1HAnU5iNwCSHgIMTQ/5y3gOvhqvTwJRkiHufyJQnTBz4gAo6IVRFOHzdcBoM9ZVZ74XdrWcTgy0NZ3D1pjfx2UU/xPj0IdjVdjTOWZB0YhJ+vX8NmwgInAp6jdj/XckVN7qtMQCfjGhL1/Ubi2fXH4A7gd4z7X5sjwIEqgXlMZSq8RDQ0wrYUHeK3Q1TcooxIDUHk4p7YN29t+GjQ0ew9cw5FsYf06MA148ehr6ZoTaNyMtj1BLyGHNODWAVIKRGRVOkKrtUVZhewlqtCn5eVM3pllE7ExmFwZ0qVHZY8YP3P8FjC2diWn4xruo7FKOy8th5/eHgOqbNT5MU5jmnKyoIuG/wZNzef2z8QwcCwWTfGNMA/mQ/NB0aBtxJgpHOlc/0g0/3s2V0cOa9D0sMp4lYvjEZQzNycHX/obioB1UVVWFLdSU7jraDJgIU2o9H1BDvKyabSLzm6OKgXQ0hrFgTUXkkIn10FIlC3BYL7pswDq9s24umzhBNJs1kxL3TxuO6ccOY1/1YdfwwOAOy3liFoFAzJO+rADzz9Q68d/PVEb8P75WPny6cime+3BZB9aC/CaT/5qpZ6JsbqydOJieVjh/aEyufvwurd5zAkfI6di3HDu6BWRNKYNBp8ftVX8deW9mTr3A+4fblwRPw+mO95ZEgnyoXA3or4E0SQXp+ahIamjvieo69lODsEhOcQ28Rjk2m33nkeuSmi/TL8upmfLb5CM5UtzCQPLhfnphonsgoZ0vHBek1RBtKKffDNlATTK4mapUucUmUYNjY0MYDbTyO7TwH4XqaQId6Y96UgViy6kDcXdB1nDt5ADSSk4Cexz+9swErthyVim+JFKzdx6qw48g5PHrzLFw5czhbt2dBOn5y20Vottqx8P9eZ+elVNeCrgGp97R2OHDH3z6CzSHS95jqlEbk2YdfPxqbnPoAk58UC1UJLN9C6TkUpHMoO1GPv3+8BW6DWJTQotHi6uHD0NLQCVunK+iNj972uvmjY3IOhg/vgddevR3LPtuH9VvL0Jin/DALfADoCOCZV7/GXwMbkWzWY/H0Ybhp/hhpYvX9t46OyGdEr9ezj5KVl5czqg39Th72P/3pT+jdu7fiuuSdnzt3bsSyefPm4Y033oDP54NWq2XrPPTQQzHryJOC7toFgP8dNAJ2T558GUfbCfSEHjDSpk+mN6+iieuZ1aIcoxZ++KiIFTi0es0R4F42RveRdi9H3/iAGjo5oVDpKAJ54+VKtwLMah56jRfTMkdiTdUpHG7ZyY4/MacnLi8egj1th/GP8o/CWilPJMQ9iC+32OHL7dOF1lMhoghRtH1SeSDIT49nSyr3M4BfJ0kcEsDvGuSSlxcwpbjhbDeKOuPtagSSiRwpVuRlfcbTV8qN6FrLX8kI5FPFX/l8FVsi8VP1Wh+cHj071zaPA08cWI8t5e1IytHCYPTFFDTTwYxzNrGdzAsscCzxtTuWrI2k6IRbkl6P64YNw3uHShXBJwHZWX37YGBmdkyEQXCpEejQMq14uV17rI3YX1+LJzUBTMjqiecmXoHcZAsenD6JfZSMvPtV7TbALEDwihQFrlNLJUIhUFEbArVMGEaALkuSYhSAi4b0wcYDZ6H2CGJ5eiZ5F78fOB8nJgLHqsYGvcSU8OrT+eFPCuDR3etC/aAGslI1uLrfUHw0+ybsaqxCi9vBKjfT85FnSmbRpN0NVai1dyBVb8S0gmIYpGjTsMw8LD1zOG7b/Knivaiyq+BPCcsVIO+tKZqYLU4AOG0ATf4ObGm24+6RY4O8Wb10TOb9jwMqIk9dYHKWXoV3XkLPo/SD2g746RaLaib5M15fuBiDsrNx3dhhOFLbALvHi+KMtGChJNmSjcov3ODu6LKTVjeTjA2jGEgHZQJPfmBvVQ0aOjqRmyyCV9lunTmGSSd+sPWQWOiKAyt0ddO0URjWU4widWUkB3rVnBHsE22K9B/Z+RE+GEgMK6mL2P1xoj62qmvwvEObMUlDdwaQlmLC9eOG47oxwzD/yTdZzkJwHaK9SMEg8o57DBx7NjQujnn/aS7mDPDYV16NheMH4bUVu/Dq57uCEx9q6o7j54Dkruk94T4kdi42uo+IXiZu210WN4FZ+Wi1RxuwamUpLl04Mvh7/+IcNpH6es/pGKcsTcB0Wg1uvixEd/h6fzkD92zfYRvI1+ip9zZi3KAeKMpJQ1WzFVuOV2DHoYqIOhUxbZRAPh8Q0NLhjHgoKPpAEzBSvqJk6/sumYgXX9sMCz27xHOneiJUjZru3xDLL7RfRuPTYkXFKQjybctx6BR8eHPXQfTOTYXRx8Pl9gVBvny9Lp48EFfNjr0fqahYq8eFuYuHwzwsDc+v3RkzvnM+gRVqY84D6cw7HB68v2Y/1u85hTd+cx0yU2PrYXzfOPhFRZG0yd/+9reMbx9tBOjfffddlJSUoLGxEU888QQmTZrE+PUZGbEOMuLmE0c/3Og7z/NoaWlBXl5e3HUS8fqV7ALA/5YtIPjR7K4AL3iQpiuESRNbzvqA9SiOtJ+MWe4JaOD2a2AI11qT5BwJXC7KW4ADbUuY3CUDd1wAbn98ycyQhSQOXQENTGqJW64wVrP9qnojSeNEvrmFKfmQVbo2IRDYjFpfOk405mNd9Wn87fAWlBS0dHHkSE++6L3nmC6+bLSswdGBTq8HSbrYF/rZTtKKjg+uae/VDjEcmmEQQ5J0jO4U3KtvTYXaGIDQLgFInwqqVg7JKTpcOqSE6Z/PKOiNU/YaPH/i638pAT8iPJ9g0iFSlxjhVvL+C1hZdhacoELH+UyYk9xITnZCrfUzGU57uwmugBpqU+SEzcNrkYT4kn50+B6mLPSxJA45PjJ9KiqtVmytPMcAvaDloc9wQ23xQqdRwZjbiQp7Iy7K74dN9cT9FxBwqCEQTz8a1bnVjOrDZbmxr+U8bt7yAZbPvkORutLhduOFnXvw8ZFjsNPETwhxi9m9RAnQ7RrRU64PQF1AlDCaWKjA1xrxw+vG4+sDFex3vVWAW1bRCe/3qO9chxqBFCnSEo60AoCmRcOUbngC2FFGYe6GVh9e8ezB22X7cU2PMRiSVoA5PfsizWDEppqz+OWutUFtfTl35Gcjp+LmAaNwWfEg/HH/1yFpUYWLRQm2JFvHUX2CINc++kQiORd0LQQhgId3fIVNi+9inrwR2Xmsgq+fpyT7bgA1NluIbVXXcockUUpeWg6CXWBeW1khiKmvuIE/fb4Jj14+A4MzsjGyKH7yzeDCHOSmWNDQHhvhI1BKtA9JdiWsJ8TGsVp+VNDHIT7brQ5nDMCva+vA1rIKnKhtYuCIkjjnjxzQpdY3Aaodp85h2Z5jqGlrZ/zrucNLcNW4wdBrQ2PbmOIClNU2BvMHqM2UExHbqfJJif8sGNwfy/cdT9gGtqrAYcHEgfjZZdORYjAwYEv28wXT8Pjyr8X1CNxHvCKksVgL0DCsdor692T//GonNAGOgXvWhzJXW+ZkS0o9cY3joO2MfE5oU72VJGDFDal0SneAicYduZ/3392B+ZeOCJ4j2WP3zkeS2YAvNh0V+fKS86MgJxV/uP9S9MwPSVq++On2hAMwRT8+3liKWo8dG46cYd/VjkBCrrwcIYpLR6PoHL13eR5rd51kqlDUp/QckJFyDeWr+fVcMIeDdpeabMSg/Cxsrj8v5VvEhoArrDb8YN4IpAo6pn1PNMI+hRlsojl1VJ8I772104m/fbIVa/eTEpJ4IE0yyTVFtVcQoKcUNwUKF/Vvk7UTf3lvE556QJTD/U6bEGeckpZVV1cjOVnMCyOL572fP39+8O+hQ4di4sSJLCn2nXfeYYm0ShZbZEyIWa60zjetEnwB4H9LRhfnqO0r7Gn5AHZeLE9OxYf6JU/D9Oy7YdGGZnpfN+4KgvZI49DJG+AN8EihZEJ4GV1iaMoIzM65BH0tJcjQm7C2/rXgq8yXcLQNa19QY0WFTr8eSWqP4lg3OHks5uXegGdO/wbeACuzEjSi3vROb2UgtLSuCAGVHQ7iHicwUX897G+BXrRmlgjMcid9JA+ggsPvxd9Kt+J34+bE7CNFZ+iSh06KM2RD0nPQKykN1Y7WLj34gQAHr1d6RFjyovg39VRnuw+/Gzub0QTIpgR6osxWj/X1J7psS1QPsDyA7lqEU89LlVDlMDoHR6eRfSI3EKAyRlKAaHLjcOtgMUZGRZhoCq+G26eBS23Bn4+uwVW9RqMkOZZvS6bXaPDaFYuxuaISrx3fjnJteXDkp3jG1uYT2NRUhjk5w6FTaeB0+iHYdHH8u+KbV+jQwp/uxan2Jtyz4yOcsDXC5fehJCUbN/YZjWnZfXH9hx+jss0aSqqUACXTcmJ0DFHXnanDkMRkux4CcdWJ4AsO7YIHyFdDqPFD7eJgaBZYdc4IkCPT1+k/jYAAgS6i6vhC3HGiwKjt4hvQl6ksoymfl69TCx84vHn0UHC1gjQT6twdTJUpfEPKHfnt3g0s9+KOQWPxz+mL8cNNy5gmfehiSf/Ss0Pb02Eop0DxXop6G0vdT/fouU4b9jbVYHxOEavce1W/IVh6ulSUL+0G/5c3CWL0LCBAHRCpRKkGA2wed/yN6bLYJcAtiFSfaDt4thYLl7yHkpxMPDF1NsbmhZJZw42iDz+eNxm//HhtbNvoUSAZklAGfTCSyWoGUKVOSuYkHMMD2UmRXsfSyjrc/cpn8Pj4oBdzb3k1dp8+j8XjBuN318yJAJOyURGsh9/7CpuOnw0CStr6YEUt/rZqKx65fDquGyNSPa4ZPwzvbJeUS2gCTPcgux3idZ6AWb374NpRQ7sE+PL6Ww6exZzB/TBjWJ/g0msnDodJr8Ozq7ahzp1YKYgmj6yqLwdUuzrx5KotbBlNxMJbSX+r3SFPPEvmpUiQ/BqjPveK+QARRrdvWAmJB2dNwqGjNdh/ploxwkHvUjqOyh35W3NTByrONqFvv5Dnk7z0//fDOfjhVZOwq7QSHi+P3kWZGDEgspLrwRPVqG60JnwhUFtW7i6DVVKVo3tCVrn5ZrAr1mg3J+uboVU4X51bgOAW4NcA+bmp+Nujl6MgMwUX3fUCAumJQo/AZ/uOY/sf78VdV4UqCEdbh8ONW5/+CHWt7RH97fbwIv0u7BB07RIE+Nn2Ww6eYdSlrLTvvhc/kRG4Dwf43TWz2cyAPtF2lIy4+tGe+KamJsbjlz3+8daJ9up3Zd8fTaPvuRGw39jwfBDck5GnvbxjK5aeexBOPpRE2uJpS0D34FjxKac/Df8c9Q5eGPkW7unzEwbuycZnLMSVRT9Hhr5AWru74DG0Hu3fxhvhFaiokrgsW1+IKwrvwg96PYz1jV/AFyCPYmwbaXzskWqFRUea8t2jrHh5NfPYW51GNHYmMZqQfFyvW9T0p8H04zNHWNJitM0vHBIDqLUqHkVJVgzIaET/9CbMzE8BHxAr+/567EWsqJPTqYubT0PL7Q5SVpDAl1FgoEA28iyTfrNsGpUafx93NZ4bdw0mZBUj15CMvklZKLZkJnjIRBcCyXF218Jl1gM0+enq+jIh6diXgNOjg90VOn+qNGtzGNFJlW79GpywNeHDiv24bONLeOHE5pjtHT4vDjTU4UhzIwbmZaDKUCHmb8iAhiZnkutqbd0RuKwC/K16RapYtCeflVYHsK2xAi0eBxy8F4dba/GzvZ/j6s8+iAT3wS1FkEt0mkAqjwBRVwjss4JH4n5pMjy8MBd3fLECHTofHEVU4VREX7o20VPJ1HWMfqZGQx+i3BDVhTS2zRod5ueXQGNTQ9uiZpKUbFpMk+14NB9BfgqjvDGk0211iGDXRAmYsc/K3w5tY/08vaA3vlpwK1LUhpDXSc5hYDQnGcCGJa5GfxLkFFS0i2PSqeZmLNt/HH6TeK8zmULEN19qAFyaAAOnhpoUjIjSEVCxcL2WitwpFN1izSGpQoXk3WijyVd5Wytu+PJjHGiIXyn2stGD8MtFM0QwLf1HvGd2XSI8m6GPmAnBZqIM4E/t0wtZlhAlzeX14f43Po8A92Ty3yv2Hsey3cp5Ly+s3YnNZaK6VTS1wuvx4w/LvsaL28WcoR4ZqfjzNRdD4wX0NsoXSATuxT3V1NowKD+HVZ7tylQuDnaXFz997UscOhvZhwtHDcRvrprdJTolDzEVgnPliBWB6/VO2As52IukKEiYUUCXCjMRYCcwyAo2yd1Ok0atCq5MNXtzkOxie7EathI1XFkq5CUn4enL5uFHU8fjsWtmIdlkYFGTYDsYpYom3ACfpELLKANsfXTgjaF1PHGUaTJSzVgwYwiumDMcqiQ1qx/w+FebsHTfEUb/Ik347sD0dpcn8n7owkUqPf7dMorIxjPahYYH0vV6FOdlwNruhIuQdhcJoQ6fD3VUJyGBvb/xIGpbIsE9GSVbRxtNhLt6W1H/VNSGcM53naLDKXz+HfN4PDhx4gSj2igZefjXr18fsWzdunUYM2YM498nWoeoP9/ELnjwvwXr8DViV8t7ir8RSLbzLdjX+hGm54g6qGm6FFQ5axN6gdO0yXHDNYNTpmJQ8hS0eeth59vxeNk/4AnE57CTx1nUawnjHQoadPBqLM5fjAX5C6AmnUc2CPlwyLYzId+cxomiVCsqbcoJaNHW4TbC59eEmA9SU1wOncgXl94QTt6Hans7+qdFyqHNyR/IwHSlvZVRdbJNneiX3hwxrjbx2/G74+V4qOQRzC7qi3/OWIxf714Dr6YJen2kfjYdn8B/pz1SOo3oDxx5bTkOCwf0j+l/ApBz8gexj2zn7K24fstrsPOeSFAquUf1Gpp0SMftAq7T5h5edvFJShjdmsIprcExLj/vM+C3o2fixRO7AUEUsJbXlmlPL57cgp6WdCwsGgaXz4dfbV+HL8pPBl9IVFdGa9HCFJ3cKlG/HM0m8JQA2y0j0CVyU8N7V0xKBc7VdUhi3ZKpBKiTvVBRwrTAge/QIOBSQTCH4tmUO8H2IQjISDfB0yGCNgKA7uyQd5tjSb9iG0ifX+4Hut5ExXr74qswMDULk06+Ak+YCH13gmTKTyqHgEctFkMz8PC5CFGH1qT7fX11ORb3HoyS1Czc3H8MXizdHVeRiJ5hDUiCNkFWHn08dMFCz69ZK6K0/1u9jvGyqWolJfPzegFEdCLQFkb0Yf/6jQIcxX5WWMvlC1F65LbR9WJquxqa/IrPMCUMm7Q6zMjvhU0tZ7ruNJnjKwBP7NyM5VfcGHfVkuIsOHMDULvE6033D0veSbh7sWgSPUcPz5oS8dva0tPocMbLdxL74L0tB3HVxKER4wBVKF2643Bc3MW83D7g+U27cPGAEvTJTEeGxsCSTXk2SewKDQqobrMx9Ze7po3DH7/aFGctEWQTBiTPLxWIenXNHrx03xUR6xG47cpY1drw/BOpjTQZsRcClmrxnGTT0t+UiBw97sgFlcwcOpLU8GRL4u0cRTE51Ns68dXRU5g3sASFmalY+vCNeGPDXnyxt4zdY0HVq7BCI540FTwpeqSf8sDgBgoL01mF3Mo2G2su5W3IUdZ2lxs/Xvol9pyrYZEfdh8HAnhy7Raomngx6bWr3BNJiSjYNzoxupEo2iVLliY0ol/w8WQnRKNo0eihPUP3kcsPJFGjE++afq5ta8e7mw9i5YETsLu9yE9PxrWThuHqicPw6dYjimMKPRsE8tkkLnjtuzdf0Wm7xxz4b7Cf/exnWLhwIVPGIS87cfApQfeWW24JKuDU1tYynj4Z6d2/8MILjL5DUpmUUEsJtuHqOA8++CCmTZuGp556Cpdddhk+//xzJsNJMpnfxC4A/G/BjtvWRRQZUgL5R22rMTX7Tqg4NWZmT8RBW2z4lYZMKkJFNBpaJ5HRSydDn88+C/IvwbKaFXHXXVywkBXP2tS0CQ6/GK7NM+QxYD8xI/I47oCrW3KdejUPt1fDKqNS8SRFPj845BjSsWrqb/DngyuwqWkrDHovnLwOBg0PU5aX5Ry02c1o6bTA49EGEwHDjfTH35xyMx7Y8xHOOcpRkt4s9UHkei2eZjxz+in0N8/GsprdUCV7GJ7z8GpWHIzW53kV2ttN8PFROm0UXtb6ofKo2cv1zrHKyifN7k6sqytDu8+FIlMaZucNxEcz7sLfjq3HxoaTwYF0WHohfthvEurdLdjRfBqdPifO2hsk/2M4lBKNecQDHKu6GwRzeg7OBAwo2lqnVYFTK1OGCLhe1mM4epjy0eiyJ9zPK6e2Y27eICxa/i7K29oi2ka1fvwdevBeNZKy7EHAw1QofCrwjsSJkDHHIw1opbcIAfUwAKxO8kKX74h442gzAd6lhtMtxZapxpaDPO3AL+dOx0tH9om5AFRxmNHcQsa+80A/cyY0Zg4V7W0warRY2HsA7hgyBsUpVBULeGjGZDy5YWuovQl0AbvzMhR8anB6KpTmh1+6vmQEelpcIfrEDQOG4/Wj++DhiQAVHcGgpG810nR6NHoSSJAwkB9Sr9GzHJI+ONHUjGONYkEqAnPeZFHhgzjsBGA0TrF6KlNlMQHufJGep2JRpHhyvRxG5+RjaH4uq+cwOCsbi0oGwuvlMXX/2YTSqaJGv9ixtN6hpnpU2qwoThWvQbRtqqxgeJ4l7YozAwb2uzQOuHbEUAzIyYqh54Qr5yh147lmKwNLSWGJvmU1jXB640i1hm1LaVQflx7Fo7Om4S9LNjEQ5aImhHenfOioJpBX/E9LNuCzvcfAycWgos6Jrh2TGZVuQPKT7DpRhY2nz+Kifr2Dz2hReuLyz+xxi4fVJE8M0dtMTaHFPoqedOV1kD3z8mRB2mD72So8sXoTnlg0B7lpSfjV1bPwyBUzcOfLy3CgolaB2cfKqaO9tw4DkI4rX/wANX47S54mSzUacNv4UfjhxDG4b8kXOHS+TuyPsFAo1VBAKr1HAB1JdCqBbALgNGmJVoPkOEZTo+cjPDUn6CTRU/dxjM5IEqGKJp27pJasaIx1yHFYPG84/HwAT/5mOYytPFy5CfREyaFhMbOJ6h0vLYPL62XON7Ka1namDvXl/hOw2l1xxylWUod2ZRDpd3SfdkXdo3YO7t09ycj/qAVYUSDl5d/AampqcP3117MEWdKynzBhAnbv3o2ePcXJWH19Pc6fD1X8Li4uxqpVq5hKzosvvsjUd55//vmgRCYZeeqXLl2KX//616zYFXH6P/roo2+kgU92AeB/Sx78rl71voALHr8DRk0yxmcMR0lSMc50nmMvcmLj9zS2Ik/fDo0Uyre638fJdmBAyuwuj78o/xI4eSfWNKwXA9OSBjL9Nz9vLgP4tOyy/MvQ5m2DRqVBmjZNMUJgVJug5XTwCYk9Py4GkDk0W1NQmG2NSG4jk9txZ/ElWFHzODTG3ZhDhXOY55hDjSsVh60F8JN7VAOkpzkZd/yXh5eiyJiHGbklmJ3fn3lWybIMFiyZdjv+WPZHnHcp+8Ip6tDsacKB1lVodsnhbdEDTpKYksgM9EYf40xHGgdzph1Gfz5eWLgQ/aKy48nb/ddj6/B+5Z4guCEOtVnzFR4btgDPjb8WVo8DDa4OpOiMyDeFkqt/0HsaHjn0DqpcDVLyI1GSIknT9D60e7XBYjaF5lT8afQC3LpyGZwe5crFtN6PR03ER3V70eTqDIJCuXcGpubiF8Pn4uVTW5kiENPbVzBa92xnM148vBPlrB6B0r3MgXdrmRdaZyKAI3nrHGGc+65CFPQjeZbjUZbCYqcqkw+6AodyHRyDH0a1Gy6HEWkw4prhw5m8Zq/0NDxzYCcCmoDI1VcyNdDsd+DwFffHbeXt40ezieazW3ai3e0GR/QUejl3x1MX57QZTtEE4A/DhvRCzTWHkj7zLEl4c96V+OHazyKSbilfhyhjL85aiHu2Lk/IgGJgLax/ieNPibVbWsWQOqOh0USHJlMq0S/vN4ofeSdMPaddDT6VxVXiJuTSvXywrh4vL7gMO8rOobKyDUvqDuGiYX1xyfD+WH3klDLHmv7TAgGKwjB6mbj/BkdnXIBf3izm1IR7Gtm5hGnEKxlRr+6fMCF2uSRn2hUhIbyQF1l3C3jRaW8rPwe+1sMoZw5iVMaA18gcaXkh5xGwZN9RUT2JJl1EfZEpYoIkvRjeDKlwFvll7vn0C0zq2wMluZn4rKwMNpcLBo0KguQ9VvQ+J0J0HAdfkoBAE8mxAr5kjnl9E9UwYB57v/J+qf+WHz6Oh2ZNRoZZFERotNlxgGodJGiD38BhO6zw0f0SNkmyudx4dvNO7K6oxv6qODQvqd98JlIMigLrYWWgS/pm43hrSwwAJA1/n0XMLWAUFrrtSMKWXiFqDmOKC/HHmy7Gm+v24eOthyPPW67xQf1FE0qaEHiEoBSr7Lmnd+XvH16IvOwUbP26DMdKz4NGVo3TD95AN4KSB43DbReNwcPvfgWnRzlJv7y+BWqan8bRXKC96r0cFowehIkjivG3tzeijUV640SbBAHZKRaW+/CdNyFxkm13jYB4Inv77bdjlk2fPh0HDypXDZbtqquuYp9/x74HV+H7bwZ1pDKDknFQQ6sSKSFEh/nNwPvxSsUS7GrZh2HJ1bBI8peytftqsbb+SXT4mjAu84aE+ybqyA09r8Hc3FnY0bILNl870rSpmJQ5AZn6EFAlYJ9tUE6olE3NaTAuYxp2tXwdl6ZDzay2iS9iu0eHK/Iuwtct22HzhUaRIlMWflhMqj9/R6evOeKpokJdPYxWxjcvtfUI7ZcTUOmqwsn2Wqw4fwRF5jS8NeUm9i8ZRRbOu5QTWxA2njqDXlIFjjABfAMPl5MKfcj6yOJvHR1mTBxmQWZKrM7v346vx7sVIS1+XtqI+OP/d/AzmLV6zMztzwpFRZuT92B788kICVGSdgzvE6I5zCnsjbFpg1CSkoVxmT2xomYfjJlWuBuSEAhKX4ZQgTHZjZEF6bhx8F34qOIglp0rRZvHiQJTCq7rPRqX9xomVeftniD8h8cPUyeHyt3G9i48dh10ppCnKgLvyFRxRVAonXuyL6FnXzD4WbKsNlN0LcVTetLqApiZ3QfPTLwMBk1ostYnLR0HOmrjgxYOsPEuVHVY0TNZGUyS3ThmOK4eOQR7zlUzkF/ptOKvh2PDp4kAcNDiTGhITWdGfm+srz2Jw221bBLWJykL8wf2wlc1ZWxCpoEKI9N64PGx81nSu6+r6BodSifGiOZn90fjOQeuPrgEXip0p+cBKhRGc7EKsRiYkrHldBskdlQHAdv8x9+Ay+VjkS/6/vzKHZg+uJhxrmtskfxgUR4S8OT7xSq5dAxpmMkyxeec17Z2RF5PaiIVePImoOmogCfmzGaa+9E2rl8RPo3DsWebcqSokxmsTipb//wsRglJpAfPnlA1cK66FdazzfD0lmmIimFO0dhwIEDTCXhlME8fmg8ToJeSYAOyt11hssAKX6kFbKutwva6quDo4jYGWKVdcbWwDbty1Qb3zcGVLcBPVWnp8tmUUz+6i6Fo0rer4jwWDB3Avlc2xRaEit0hJdUr80foWLsrq4OF8pTPQQTlpD9PExaaoIiTJw4arwCtisOj18/Cjc/HAXMEyPXiJCfaGu125KQn4dFrZ6Kzw4U1B06LFDJE5iqQ0fHpOk0f3heV51sYuB8/ohhXXDwChXnieLR2ZWmwim7aCTdahxhDkQW53LyKw4JRA9A7Jx21baFnTGnUpdecluUqxb8eCycMwqh+haie1II3lu0CT3QputeiuK0Uzbzx4tHKO7pg37pdAPjfgg1InomDbcvi/k4M+JLkadCoQi8LGlDu6X0VRiYLOGxT4quKD9auljdRkjwDqbr4UnKyEZi/rGBB8HtACDDPvl6tD3Lsu2NzcxbjsG0vnLxdEeSfbc2Eh6fJioDL++biQMcnsBC1htXfBswaqqRqxRl7gIH7eMm6xRYrKh2ZaCdOQJgZdD64eRXqnO24ddt7WD33PkbT6Y4OPY19Dj5KGiDKmN68wQcnSTrK4xd5yQQOG85VY2vTC/jpoFm4s7/I221x2/F+xZ64+6MjPVe2ETNyShSjIk6/J4a+Fb0afc03J+EHfUPUoM+q97ICWxkF7XA79HA7dOyFRDKZpiQPDMYAPq/dj0nZ/XH3gMnso2RD0wrAC/HbL/AcNFYTbO1exvFmy1RU4EhMeAtvJRX/CkcG1JaIvg6Xs4xOkE31IsmsYYpJ8YxL9UFo0kFtjhPuloxe5v0zUyLAPXHAjXQfMgqDRCOiF22U553+XF91Fj8cOibhMchrTsmZsvVIT8Ufdn+NFpfEmwp6XuMhJclDpwuIXr+oZOjbB4/ExeteQpO7k4F7FiKPqhvBI4CDtircsf1D/HF096TphmXnoIc7Dev3no0s4AQtBKca/hxPqApuF/z1Lp1dAcDp8rJrTEWDZNtWdg6j+xWgUmWDxkbAQFS24ZME+DL8YkE52rlGYFr2gzJz0DctVlPaxfuwvbZKlBkN50gwypU4xlHidbhRW9LMBjy5YB4uilOMZtbQvswT2drpUIwy0LXQ5Whx05efsInH5SWDMKWwJ1JMBiweOwifxJkcMJxOE1UtYKoSpYpEKc8E/S3dQzobeXc5BKTUIJasHDXJokRMoqcw3nzULmlIluk8wTOSvM18kkhpYnkTchSF1IVcJMMa1qlx2ke8erYGBbP0JGGZ+HSkgupxLXyCZNInKmsrWRe5C1x3oivyrITAs0GaV5IspFWFJ+5fgCHFebhn3gS8tFa5qGI8a+2k6LOADzYexM7jVdBEqf9Em8msx2MPXsIKoZFZO104WlGHs41tGNI7Fy1NnUHvvsYjIKvUCVeWFq5MDbtmGmcAWQ41/vTXi/Hahr0KhM/IUyZTa9UI+AIxRbFoIjt+YA+M7CuKdlw+axg+XnMQnU4Pq3gdzD8ivC8AmSkWXDp9CL4PxkUGhSOW/7fYBYD/LViOsQR9kybjbOeuGDBL4F5FXvHM69n3844j2NWyFFUOWU5PTEBS0wtV0cGjwvH21ZicdUe322P1WrG6YSV2tGyHJ+CBltNiYsYkzM9bgCx9JBdVyVJ1GXio5A/4uPoNnOoMvcgCAS1ONWeisi2bFbq6pFcB1ra8hcrWHLQwSox4AmatB72S23DOvot56+MZjTU9zW04YosE+OR/TDO50GLXoMZpw7raMhSaU7C/5Rz0XBI8QnwOsr9bGU9itEDWdpYTL8l4jxpaow/PlG1ED0s65hUMwsb6EwxIxDPaRXlnEyrtLeidFNu/KVoTjGodXArAltpAdB1iPK+tPcp4nNf2nIyBKQWod1nFgVsFGJM87BN5rkCds2vv19z8gfiTzoR2ryuG203gnq8xxRbHIs+hi16EIp1CPlMuyhutMYsKMSJ4lTxs8hxAWnV0fj4emjIeFr0e/ZKzsGDdq6h1tivXNjD6ceXY/ljdsTfhOdFzQzSWUD8KeHjFKuw6Xw2VRhUmCqsSFWP0RNoW16Xnze1PPIFQssv6DMSlxf2xs64K+5urcdhWjXqXDWfrxWqSUT0rxu1IQUe6Hal2AVmuKQn3DBmL5099DafE2fGFyydFGYF+on59cHYfo9t0eOPXOKD+H2rIw6eHxByfGPDq5aBq7l7ZefYoJQoYUAFduzJFhsDWvtM18Pf3w5sZhkCivPDMVBx+NXFG5K4FAa8c3Yd/HNoFOylrUVCNvKEeqpIa8uTSvUnJmQSGMzQmXDK4P8b1KoDZqGPJxTTpC1fDktu2u6EaYyYWYeOmcgQ8lPckmjwh8qQHsMteA7+dZEI5LC8vYwD/tXmL8fCCaSitqmf0BwWGDXxmkpgURL53NxNriQvNJtO+kN58eGJruJEXlYB/BF9cEOBNi+X4BwMEEsinQVesgCu2NawAsqLRuVPCanjkiOhcgU6xHfFAJd+FANCQ/JAcIBUUSzMbYXXET6pgw3SCeQCrU9elLrJCaIHj8MbvrkduRhJTrrl77nhkp1rw6ro9qLd2VW5XPFeaKD61dBM+3kL0HLpfpHoH5PGXEBhdS8p1Ib7+FRcNY+De5fHhr0s3Y+WusuDkmO6/7CSdWJmSD3H3zQ0+9pGtR9+cYDVeuR2J+m7MoCLU1FhR09wuiTeIs/fZo/rhtzfPDTqm0lPN+Odj1+JnTy9HQ0sHNOxGoXofARTlpeKvj1wOi+mb5Vz9x0yQ5N6Ulv+X2AWA/y3Z/PxfYEPDczjRvoF9FwFGABZNJi4p+AUydD1R1r4JK2v/ElNxkUApFSSn6rTR4xP9bvPWdLsdzZ5m/PnE47CHed99gg/bW7Zhn3UfHh3wKxQYxdl6IsvU5+Devr9Eq6cJDe4a6FR6FJtLGIWHnR/H4S8n/o7SpkL4WMZTqOEOnw5lrTkYkx5KPFEy2sKo+BYTYGJSDSJAe/zwKjgDTjYw5Zi06Jkclx4IDcuI7Dr27Cf5QX+8WLcIAl89vZ0B/A6fm9GgEhXbIuv0Kbu1tCoNFhaMwbLq3RH7IOwlhJFgHX4P1tYfweq6Uvxi8OVI1ZrR4Yv/0iMYm6azxACjI3UNWFZ6HA0ddsZzvWzYQDw37mrctesDBiTlNjD+dZuOSTHGvPdkgOzm4CcUIHVTfpoBbs7J9iFXKzZmO+BssET2u+Q+Meo0qBDqcdOmJSyfYkGPgXhs5Dz8+sBXaHB1BsGRXKn4/kFT8aMBk7FlbSmcCTz9tC5JlMq2p6oGKytOsxdjiKYd5AxB5VYhYCRkJALmAWndU4CKNgKL0wqL2Ue2ffU1uHXtMiZ5Gbo4AjRGH9TkvafJQdEwXJQzAM1OB7INSdjQVMZUdCInXPHvWWrzxvrTuKnPeLx54oBiQj+Bsb4pmVhfGl/BhjHP3WpxwuOTeejK61F/kWIN51LHUpEkLjgrihPvWESlsqrhJzpOgsfx0fHTMKkgRNUje/bgTjx7aCd7RrV2seoqgVSfSQSoKlkKlP72irzwGyYMw35bHd7eGOK+kvf9wTETcePg4WzMOt9pw21rl+GMrU2sVN0bULUJ0HeqGZDy6gS4U/1hOQmyHCywvboKk/7xEkYhFzdOGI4z1jZ8sKMUAQJiEqCjD0fUipMBxsxiuFiiVCQy4pgzUSAaQmj1MGWj2Gsjgms2J2TDB8meKiTjRtdEIxPLjgSNTwaMDaI8ptL9RBWtbU535D6IYpUO6Mm3INc4CcPOVNgsHhgnADssPxe+Dh6nHI3oU5QJrUaNu+eMx5MrYuV65fNQilhEdop09HggX1KMiZxfCshXm/HY375EXaN4I/csSMcNi8Zi1a9uR0VTG/acPo+nV2xJcFxgSv9e+HDtwVDOgokcCvLvoq4wpaxR3YbhGdm46/JJrJbCA88tx+EzdRGRB5pcNgQ8UPU0IKXCpeyB5oCLF4lVau2eBJP9UBORlWrGC3cuxr7T1Thd3cxUcKYOKUZ+ZmwSNl2TT5+7AzsPVeLIqVp2vFGDemDc0J6KdSEu2H/OLgD8b6ujVTpcnP9zTMq6BZX2PeADHqTresDOW7Gh4UU0eyrC9FNiXVmMKyeoJIAa/osKOlWkhzuRvVf1dgS4l42+e/xuvFH5Kh4b9Ptu7y9Dn80+Sra2phG+6EoZYefj9auhS1A1g9bxkMZbjJGMX0CaIgkMYGvUouetwZGEFL0TqfpIjrYMSBvdSeyYdOxEbwSPM14MWXxZ03GpsJXV42Q5AF2Be0axCUusjbZbe1+EbU0n0OQRPddyRd/Q1qLJx/nz8RW4rHA0zjvjVwqmNmrUDrxd+RkmZ45GsbkIv/pyHVYcORH0RNK/nx0+jql9emLp/B9iadV+rKo5xopL9TCk4YzdG1euVe5T8o5S0ipJSz475XJkGs146MD7OOdogYYS6kx+cPmd8NiMklwmJY0JMCdxcGpccEueKMoF+KLqOFZVn8Sr065CncuG1TUnWB7DwJQcXNdnFAaliuoMV/YcjQ8raUIkxJ00XVI4LPj9jb0HYgFO9Hl4OXAGEfTNLFKmbnxTownVk3u3wO2TEJnGD7XOD04XADmO/TyHW/tNwGBLHn6/bRMaHKKakTbNxXIOovaW8J6l+39mUTHKrE3Y1XA+9iVuNOPng6fjvtIvE7eZ/jP4ofJpFXMIxN9ptkygmjTn/VA5w1ChFPUiYEjUm0Tt5RwcVHYVAlSUTIEuTxPpK0oGRywjZSHy3OvaOOibCZGGfjNQyYOsACtyprNqgkA0LdmIt8oPwR4V3aAJ1a+3bkC7x41bh43CtSuXotEpXgOWdE7NzwC86XxIcjXeKXGA1ejFwZO1OHimFoN6ZGPTL+7ErupqbCmvxJcHTooRDV5U0WGbCIChVYCb5pNxvcuiU4GGQqZuSkzHLpyM7E4hCoWKEkcBjYsSYKl2QeLtlA5NkQYVLxWDI/ezZJOKe+CakUPx409Wxh5fS9dBVGHRkNCVNNkI5ghE0anka62HGtVbG/DDtR+wZWnJJtywaAyuu3Q02h1uvLxhD4TwaBaNL9Kjlfg8qAo5FcJTIKywMCknFvMKW6azBtDu7ER4lsj5ujb8+aW1OFPVjJ/cfhH65GRgx8lz2HXqfAwFiMbWnllpcNg9wfGW5UHopTaEyX3K/1S42+H1+7Hr8DkcKpeSgqVKaYynLx0iQPUE0jUwtUZGGknpp6hHBuZdOgJbTlTgrS0HghM+JgFKu6JHJur11zc3U+T7D+jBPl0ZRW2mju7DPt9X4+Jo3v+7OvjfJbsA8L9lS9ZmY3jaQlYm/qu6p3GyY1OMhGboWyTI90MFteQZlU2AH/2SpqO8swqr67eg3F4FnUqLcenDMDd3MtPUl63J3YSyjvjVDwnkn3dW4ZzjHHqZQ9xidhxBwKnO49jTugVWXxtStekYnzEV/ZOGMO91tNm8TjQ4E3HdOZzpyMTA1Ma47zVyBlQ7oxMdyWtPSU/yaEXUpVDfERw51ZaDHFMnci0dMJLOPPvPj3avAXZeB52ah88veh3D2yc7d5x2PSuEFWsC45SHt5dAKSXPJmsNbKKhZAQwpmT3Q5YhfrI1edpfH38vXji9GusbSuHpQqqLXoZl7VVx7hWpnzgBZx2ncN59Cp/XbYS6rj+OnfRHUDPkf3dUnEfmVjOevOxS/HbEpWzZOasVs4+8lbAd7MhUtEjH49eTp2N0ligNtmzag9jbWoGDbedYy/ol5aLFY0ezy440bRJKmxux4tyxYIlu2ZiKkN+Pn+9aie2L78e1vUcpHvPufjOwrbEc1U6qfSBERC2oR347bBGStSE36/G2xoT4WC56RKXiX7hoIXuB/b8wknc80ChK8zHj1WKeglO+ahy+OnkGr3cSJS/kdf5XiaBPrdmKk/WtUCepwJsDzOtLR0rSGPDK9CtFxZ/umFZAINsDrol08aIiL5R/YfAzbjx9NE6OKV+FA3SiyXTnRUled1ZbwqeGP4U4NpHPzdwe/WBQabDi5Amm+FKUkoJKexs0Vg76JoVrJADGJjVcuX6QwBblj/fJyoA5U4c9jdVxgeAze3dAreZQ54hDu0hEZI5az2MOQG9T4WRNM57+ZDOeuuNSTOrZA2t2npS6kgOvC3mMzfUCPKkcmyzF8y7L/HZ1shoBR3eS4gUWcVB5BAbsyMij7ksJu5TyfZbonGje5RcjMQT0/QaayHP4wcxReOiK6cxDTLkoBEpjjCawJhFQEtAPuisk6hZRiIJcfAHI9uvhrXQh4AtdJWuHEy++vxU1DTb8311z4Hf58eqWvYzaQsXStDRhInadF/AlxQJXsSvEPghQFISNd1ErcAoKSi4BWimVJvyekYeaT1YdxIwJ/TBiUBGevX0R/vbFVizbfYx53uV9XDS0L35z9Sw8+tpXwXE2WBhL4TrTGnaXB1/uL8OO/RVsH4EARcnEPPyIllNNlAwdtM4AtC5xwkO/q5J1+MuLN8No0uHl9XvYO5QqDlMidvjpMooQ5WSoAZ1GjUVjQrVbLth/j10A+P8hO9a+noF7sghwL1UCjQfyw43WM6jTsbetBUuq32FAW+aCVzpq8HndBjw26H4MSO6NGmcdPq35HB6/qAmuUVGia5y22bZFAHyqWvtGxXM43lHKKDE0EaB/D1h3YmDyMPyw90PQhSUIkxEnOLp6Z7SV2XLRP7UNGsYwD8ScW4M7Ca3ecLKmOMQl6dywe/VByUgCshHbgkODMxmNzmQMS8tD79SjaOfbkGN0wOnXwcEbYNa54eaJgxuiD5HH3N6pg4dJO0abeAytMTRSpmj1yDCYGX3kdyMW4uF9n4StGQIpZo0ejwyZi64sXZ+Ex4Zeg58MWIDrtz+PZk/8CoTkya+wN8Oi87AqwExONMwtRhEOo9YDr8BBJfgR8HM4We5j0yMlI+/T50dP4KcXTUZ2kkjrsei65mLTNeifm4LnLlmAfskh3izRHcZn9mGfaLP7PHhi/7Nxve8UMWhy27G57gxmF4oVmqMtWWfE+1PuxD9Pb8Ly8wdYxIFsWFoh7i6ZgcnZ/SLWV0vFbro6l3fnXYVxuYX4f2Ubq87GkSCV7jnSSY4GlcSBZp5i5bybuMYD5eX0PKkAu4rJ6Hmy/PAnC3AEfLjn68+xatEtMGg1rKBVPGPPFdGVTAEIFhc05WLGod8SgD8tsn6AYAA4xrMPnZP8J1ExmPdW4Rjy6EbrsOP5BRYFCFgkrjHHIdtoQU99Osa9+jI8fn8QYxvVauia43cM7Zs8+7Mm98NNw0eg1mrDQzvWJASytN8Py45E8uX/VZPnaQEBGw6Wo/GKTuSkJWHmoD7Mq8o4/KkczE1ScrMXjLLT2VPFvOyhRkm6vVKDyAs8a0w/GDpV+HJ3WWJGCv3nE4LqLGTkxWf0Ja8I1imS4FIutikdHyyxVx5e2XuD+TAENmkio7yZK0cMxkcHjyonsZJzXE1ypGKSr5wXwKIYVF/BzpQkkZuUBDvpPsfp/M83HMG0if2w9MhRRldi83GaKDDFRqJlcUyL35UpHSNIPid6FseiGQFW2TpEywt1ljQ5VVHOAYdUoxGqdi9cnEeZok11ItI53PXJ50w8n8bLq0YNwcpf3oryuhZ2fQf3yGHce7JUizGoeqM4AYmy7SfOobGtU4xwUZMVePQiSOfgKDJA2+5nE5eAXoWAToUzda3oo+NwtLqB9Q9TWVK4LpRUTbSg394wGynmyKKO/xMmxHnYL3jwL9i/a3tbP477mwzyFe/J0LgFXlCh0evGxpYvWNw2PNGTXnJuvxePl72IyZmDsa1lN/NuEjQnIw+2hvNDp4rl9Z+zr4cg3BRMrFle8yHKOg6zv2Vqj/zvyY6jWFb9Hq7vGZnkSx7trozUbJLUN8Ki24Ym99mIc6xxpTAd/PChiRJyLVo3o9g0OcwMkKup4mmcAZO6yh1oYeAe0kSgt6UNdl6PNo8RPo2XTVeoD8qbs+HwGsTJFalc0NsjaCKlRGfxQSVXUyQQoWvFYdsJjEobjHn5g2GeqGdqOWXt9dJWwLScEvx88Fz0tMQqgMSzZK1JsaBXtLGJlioAi97DimDxUvybwD31i9iXYuc42w1BKU21kWfJnZT4ynfoIEjL6YWyo6IKlw8XKRGZZjNGF+TjUF19QgWKp2ZcGgHuu7KqTis8XUhzEig+0loPu9+Nfc3n2bUcm9kDlxQNCvYNgfxHh1yChwbOQbPHDpNah3QFGVKyEXm5qD2TuGQ7TdRG53adf/JNzBuQKhV/w5dGwKllFXpjx4T4bmRVo45NvCOBrhpuKqBlElDn6MC2+nO4ZtRQvL+3VPGaMuBNQIgAPvWJhkN2phH1AQf4ZOWsSU+BH2pSuvWLycvBc6ciWQQIoyj2Mu3HkypJ7ckRFFrXDJi0WlzTbxiMfi1e2bc/bDtpv3Y/DAmoPwzc+kX52d4ZabjtnU+BLlIqyFtq9yprhYftuFuyp2pWh0M06uPSs3WYN6Y/HrpkCvaerYbL64PPwsHjFqCnwsxMDQVIOx0ACXwR6HLmqtizy8C1RCUgd4bb5sWtcybA6fbg69LQmBlh0nWNLsBGEYpL8/ti874zwfPQdgiiVz9mHyKlw9gcsxgqowof7juMZ9ZvR6rZiHkjS9A/OxMnG8WVBYWXVXDiwoUl9WpF7zLnBDRW0qSM06ECRSM5PPr0csDlRyolKlsAd5oK3hQOug7xelMlWFO9lLxq5DCkZy7uv3gSXl+6A7v8UhE32WIDniyXSOUEWr0OmDoDihEoGmLbiwlI033tY/dsp9uDp9ZuwUf7j+CDO65BuqTfL9vFYwZg3f7TcU4utn8p8Tsr1YLzjTY2i0mUayH2JQctTXSIggQ/3n53G+770SwxETvOPF4ekvLNFiz8H/Xec2wCFXuRlZZ9X+3/TRz6gn0jO9G+F22erhNjRf90uJoK4IUWbkGLDt4Ae8DIFFZS5FhiaG2ZKQtvwM7APZnIpQ7FZGmC4AvPqJKOqUEV2rziy8PB27GzdVOCKrwCdrdugZ2P9EIS33xIan6XXqYreszDrb1fQI6ePL2htfc3F7HqsukGB1L1TvZvptHBgHZtRzKMKgsGp+Uw/d54Rl7A3LAqk+yYHOmLe9DTYkPf5Fb0Trai0NKBATkNKMlqRJrJieQkF7LSOpCT5oDW4IPe4oYhxQO1RiZBCjDrvMgwO/FW5SdBmsmU7L74ZMbdWDP7x/ho2p3YcvHP8ML4678RuJdtYiYlLEdKXqhVfmjVPPsQiKeJDk16NCoBek2AJR5TBWAZ3IvnGwL6KgOPpEGtSBnWCkvfDiSVtCN1VDOMRXTtJB58mJQh2YOTJ7Hzi5ONwByMV360FD9dsxrnbbZunVt3Jy/vnN2Nn+/9Ap+dO8I+j+z7AtO+eh5H2uqi9qdFoSktLrgne3jy5C49Z4v7D2B0g66M6Aibzlfg09PHsLMulnsbboMyshMq4MRyAKTkR0pc9RLIi78ZwWn6sL+bNFA1R/arDES1ViL+is/D19Vn8dDMyRheIOYysNuDmiff2nTLFXiDBZym5fbBL+ZcBD4lgSQKYZ1UccIWMU6oRY8qVfoMX04Jke4MQZSHjGqvulODi9L74a5BY/HWQVFJLOaQXavhMitrasJnB49DYNnqidelezzHLEbjurS4QBRQO8jLHZ2zIFpxdjo+uP86jO9bJGrHZ6pgz1NBk6qFxaJHXnYypk3oB0+Wmsm4MooNedzlrheArScqcN2zH6K4KAO9ctJikxrlqqhiOYOgkbMmMzsJWw+cjbw3OgEd1a6Lmm/rHEBqRaRSD+2ZAWu9gJO1TWizu1DR2IaX1+6BvcGF+6ZMQO/MdHZPEtjW0nzaI1WIFg8a1iDxH5KjvGbmcNibXMrdSmMPXW+/AN7pFz3aAUDXASRXBaBxUTQE8CSLicgsZ8ABPH7JLCy5/3pM7tsTl80cim5ZWHXdqNdi0Oz5EriXFQTCHMGVrVbc9MbHMZWMpwwtxqCeOSwCo6jUE9EEDsN75mHR5MEiPacLhz87dlheBP1VdqwOjz32GQy+cAQRa7Rua6sDngTRvAv2/bYLAP9bth3Nn+ODqj99o23kl7xX0MAV0MEd0MEfVj9clppk4JzzQ8sF2If+jqavRBoHXyBM6x0CcrTtLJHXyYuVLc/YT8JPRXASWAB+nOk8EbP8xwMvko6idGTg6p6j2UTA7bej0UMvHuk8OGBCVhWsbjPqO5PQ7jbA5jaitjMZjfZUVhDsrcm3486SKXETQMmIAjIzV1QT6MpoYDUYePTPacaowvOY2KsDv5swHQMKG5Ge5IRaynAiUJ2b1IkeqTYGnuvcTThrr4rYV5E5HSUp2TjZeRZf1G7FtuZSeBIovoSbh+dhdblwReE49p2wIWFuvUYE9XQ96UNgn952kRVvKYxPYDxE1aH7gExr9iJ5UBs0luikLMCQ54S5WPRuD87Lhpv34YythXnaJ/YownOLFsCoFTNU2UsquLEYriaP05cnT+KyDz9AhZXQQmKzqPXM2x7/0hFSCgSlKoneIicX2zwu3Lr1A1aZN5GRPvpnVYfw0N5PcP/upVjbdAw3Dgsl3UZbmsEoTgK6sKUnj2Dc+//EbWuW4WebV+OGlR9hypJX8PV5ZW9qXrJZQtHKJxvsTQJ0Lg5qpwpqr4px5f0tegScoedTjgT43SoMseRjftFA9EMudKdMUNeJlLXY/XNQE+D0UZEfMWfEpNPi3ZuvwhVDBzJKggwi6ZbKMZhxVeEIPDpiFtbNvxuvT7sWZ91twYlE3JPQAf4UmQsQ5phQiwDM3lOAMycAZ64Ad3Z4ZdxIo8u85kw5bvrsU2VedziPuQvjdBzK6pvEBEVKoEwwFNIk7d6R4xMnyxOmI+qUfIpREzOinZirwyMoEm9ezcEmSTxSUuard16Jdb+8A2/+6Gos/eVN2PzGj7Hm3Qfw8Ut3otwvyhRGALuwXHt5/v3Kxr24+7KJuGX2GCSHyRJS7gMD92FtY3M4QcB5T0eMLCrz4tuB1JMB5Ozkkb+Fx/y6bDxSMh49UyMzclVJVFVcbEz4bmhy1NrhwO4j57DqR7dgXnJPWGoAgxXQyMNe3DwrDkeaG2Exx5FWDDuOElnVUhcQ6Sk6kh8V/1UHgCVrDwYdL5dOGAS9VPE8kck1AMh4Qyw4psq0xPNPxJuraLXi4ufeQkN7aHyiAm8v/vgKjBvQQ+TCd+Fo8Da64Gh2suJYXTea6kdELqLzbmtzQB810VQyui+c7m5UrPtvtECCz3+JXeDgf4tW4zyNNQ1vs+Aoec61JH4ZL+mPJvtU/EX67hWokJNKcT1PQMO83QT0I1TA2MZigZz4QF988ZMTIFNjRw+DCOxNGtHr7A90b3ZPVWSjbXJ2X/x1zFX4bemXsPOeYLEesqt7jcYvhs5nf/sCscmpeaZOzM4/hcNtBWhyiwMdndbU7BI8OHAO+ibloLclC5Oz+mJn89nYQlEAZuYOwOLCi7Cj9WPwgj2udCYlCHqYyDQHl1+LCenjcXefm7CtZT/0Gj8KUhJTO6y+yN/XN+zBqxXLYeddwQRqk9qAO3pfhkvyJinu41hjI/65Zw/Wnz3L+shi0CGtZxrs/nakmkRwoNR+t18DI+djzieZxkHXmiY3dD/I193DqcGR4gmdq0fDPPoatR86KWlYn+1GfqAQy2uPY8mmw0y5hqxnUirm9uiLYcNSsedcLXiblilzRLuW6HhEcXhs4wa8f9XVcfuqpqMdC1a8AzuBN5KsJJ551G2tltIilCZvtIzkJj+qOIQHBk9TPEZ5RxNu3/4eS+qVk2431Z9m1+Kq4aOw4WQVbJ7QPTejVy/8YeYs5FoSv1A/KCvFr7auZ7KLKoFjnkm6bertnfjh2uV46+IrMb2oOCLX4N6dn0Bj4sE76P4KD7aL59YjJRU1TVSeNDLRnoFSXoWAnfIrKEsxbDOBg5fn8OSYhfh11XpUuhPfn2KSORtQMCxTJF1/cfgkVhw6oViU54stp/DmLVeiT7LIa+n0iiog0UVwoo36g0/jofaokMIZ0eHxIKANsIJoYrJmfJAlg2HWTEHAOZtNrokWYyw5k7TtGfVHKVmR1FKAKX16IdAsUVHsKnhI+lOJ7yAANwwejoV9B2JfUy3eKTsUycWX/6Dj0TBHH0mJhO3KRwmsHPStHJPnZG0mhSHpvn747a+gUXOYP3IAfn7FdEZryU9LZp9w23OmGuUN4vgbt5OkZ5yiMVRM6417rsJ9iybB7vLiTE0zHv7HF3D4qHBeZNNpUqUYh/MLSK7ioXWGqCBlR+tw/EgtBg/Kx6MPX8nuCa1WjUc/WoN4vh6aOBytakBZTSNG9S/EjqOVrEIqefwTAWrOI6DsVAPy8s0sX0jbKfLOxcaH/a20vTR+6zpI4Sc08aJllXVtrLpxdqoZOo0Gt0wahde274sTJRD/CVfR4U2c2CdhtQJ4ozTIdmFNdgdmPf8GnrnyUswbJOYCEcedQP6Z2mY88enXOFhVJybRynQqCZgbmvz44lwp/IEAfCYVBG1MdktMH8hJ1OFGz6q/wwekJK77YtRpYTF2r+7FBfv+2QWA/y3arpavgkmq5IXXqt2KsrySKhZafSbGDyeQplQBlWnoCCp0+vSMpkEWvlrobyp4EZ+rnqpxopexFWbK9mLa6b2QrusDX8CDfa1fJeT9hloSwLvnXkCzpwFmtQWj0ydjZOoEXFwwBDNy+2ND3Qmcd7TBotVjbv4g5BpDxE+TJpVJfXoDkVSjbIMdc/JPwclr4fZrMS/vRszMvSL4u0alxvPjrsdLpzdjaeVeNokgS9IacGPxeNxVMh1qlRrZ+gmoc2+I6WuPn/rOgE7ewCZPFLmg3/dZT+JHnApp2sgXcDwLX+/rxv145vSHYf0iXhen341/lH/ECpnMy5sYsf2Oqircvnw5u0bygO9JsaHJx8OsF70rytdOhCGUKKwjt1UYV5vRdqT8CvpOibgddgNc7vDBnHIY/EhJdkGr8aMzoxVvnmiLoJxUddrw2vH9jJ7E6UhPO75MIIH8ndXVjKrTI8r7R7azvgq3bvgEXpoM0j78VGRKyndQS7r5HMQk0EB8rxKB/FU1ZYoAn4pbEbi3eh1B4EEgOdCpgcCr8FltGe4eNQ6TC3uxJL0+6enIT1IG9ja3C00OB/PuuwMePLFlHUh9laq9ym6zgEYAn0yTFQF/3L0Z0wp7BZ/VL6qOocPnAbSAOsmHgFsNwSe9cMmza/DDbKCMPfklHh5ql6g3bjX8LDkw0pVJUpjvny7FgLwsrD5yKm5fMbArJfbR2FNr68CYN1+EvYqqyyqsz8YeAU+u3oLP7r2JLeudkt4lzSh4y5ByiiEAh9oLXh+GPIglRFVpmZNfmcISTougNeIekZwaaYChJZYTLz9v7hw/bhkyCmdrWrHyyEkGvHVtKvhSAmLBKHlIE4BiXSr+MG0W2+73E2ehJC0TrxzZi/OdIRF/qoZLcrDs2tK2fiC5TYNXr7sczy7bhpONTezeJVAbWd1ZPHdeELDq4AkcO9+A9396PZKiqINkO8urWB0FiojFO2+5w+gZ3X+2ho0ZpPhEAHJ0/yKsfPqHWLnzOPaUncfpxhZUezrhNYnJpRTFYLdtGGg11/PQBBWd5Gspfi87UYc//301Bk3rhV556fBICjFxLwsHHKqow6LJQ/DK5ztho+ciYs8howRPAtTyZWhwEieIY1QbU6MQpAZ1DafF5GG6H1hCLVF2kkXKzux/vMl+n1BchJsnjpTyBFqiE0KYEZ0ofGJBnnby4rOqs0EFm25ys1mkRcBDn36FJbdfi+GFoUzmvgVZeOvH12Dz8Qp8sPUQjp6vZ2A8YPVB1x5gEY9gWTVKDNZzLCKhZHJrNG7lFbSOADwM4Csb0bsWTRnM6gz8Lxr3P8DBvwDwv0Wrcp4IJqcSMCdFF5PaG8GzFd8fHJq8FtR70qDleBQZrawKXyTIEzcicBdU3ok7GsqvQeUbt9jYAhMbUUVP34SsH7MX2cqa11HtKmMl7JkXUeEABBqStMl4r+qF4OSF9nGi8zA2NH6B+/r+CsnaVCwoik+PoOJYw9PmY3/r8hg1HTKTxockLTAxK1aJRqfW4MGBs3F3yXSc7WxmY3ffpGy2XLaF+fPwkwNHUZzcymQzyRFZ70yB1RfOExD7hzjsdt6JY+3lGJY6EEkaCzp5e2yPskGfONAa/P74S8jUp2F2zkR8ULUeiezNyi9xUc5YptNORjSEn6xaxTw2QWKNzg+1RKXRaWKToCON9JXJwxvqN1qfIunydrTf9k4T3J7YajC0bZvNjIw0O9y8AwHBHLfwl5rp1Xc92SOaTjTAP2ltFsE9ee6jiaUMMEl8cz+FwruOkRKNSMlWVh9lnnu2Wz/gqzcBXvklJ6q1vLzrALZknccH11yNFENsMvg5mxVP79yGtRVn2P1syHBCa/FBVyQ118+Bb9aDbzAywErFmnzpfpy2tuBkWzMGZoh1IXY3V0mJ7WKNALWZj6TbADhV1wY1R8+XlCuhJgBKLx6RVhMswhUOliV7/9QhLJtzE55bvxN8gFRmlK8LnyTuWwsVPjh+GIJTgD5YYz52MkC9X9bQhPKmFvTLzsSCXgPw+70bg0pFMdsF6Spi1e2JeUXYUVcdsx6p8KjtKrEoVfh9JGlzB2kvEoYO93DGmJFDem8LWuo6xUReyQJGUTno8TlzWf5D35R0/H3DDjR12JmnXdUicqiJOkQH0Xg4PH3bxUFZVBr3bho4AjcOGM4kM1ceOIHnv9wOv4UDbxSRMQFlbaco4/LI+6uw8he3YuOhM3hr435UJqCo0RU832zDB1sO4Z6LJ8T+3kWEJKbf6b+ocZ+qiF43exT7TH/2NXitxMcPSZZSZINtQyo2XgF6W3ytM1qv7Xw71uw5AVZkWRObcEoJwSySERAVdmhfqUlG3LR4HP6xZTejfQW17yUjFR/ZWx5xbEb54+DMBpLr5VyLbvSJ5MpXEdDPENsUvud952qwu7Iav75kJpbvPoay1mZx0kvPFpN5DZORFISg2hCFtZnKE01K/VQnI5Sc2h2jdd/YuR/PX7MwcjnHYeaQPuzj9fG4/LaX0GGPHfPUHgGwSFV4w4JPEcwwaTLoZ/r+UjulIZb6nr22FQJX9N1s0OH2+SIV9H/ShDgX878H31/g4H+rnS1xEWR/nVfQop0n76AWPkHNPg5ex5bZqJ45S4zXoNpFVA1dxESAtOD1HI9UjYvxrLsCgcpLBaRpHBK4J893HuYVPI0C8xjYeRsOWsXkWpdfwyhC4ZWd5b8J+Lf7RJUaefIie9Ga3HV4q/K5bvWNQT0MDj9RRyKXy98vzv8JDOr48V6DWovBqfkYlJofAe7JBqcWol/SUBxuKcIpWxYq7JkSuJeRptg/dCgXrwEf4OD0uxgIv634yri0Hnof84IfHbyDyZK+fPYTWH2JueG07mFbefD7hrNn0eaKTDBTm30JVZSIusX7VeInIGmQhxmBykHJvWFUi+DV69PC7YlXuEtcZncYmBJPfOseuCcjFZRoe/mYVKVXsQnSNSB+s05gkoiJnCiUCDlQKngVbVsaykMh9RaDBO7DZxTivyebm/HLdbGTsbPWNlz20QdYJ4F7c14nA/cRkTG1AE2OG9oejiDlXO0Sn+0m8kQmMDlKETQvVeglYC3An+pDIJ2HkOxHIIVHIMOHgNmvSIug7qmxtyPDYsITV8yJqaUhprWKFTN5C4mjcvDxlMsgSgpGr0vVNd2ZAjzSx50l4KWDe+Hz+1nU7c8T54mgIdr7LnmDSZOcbH7PEjwyRpk6xS5xUgC+JL9YbIfVsZB0zHnSwhe9zASkKNI1LEdUZoo4IgOSHHQeFZ6YOxsf/+RGTJ1ZDEOJDsZBOsyY3gd3TxzPqhxvqa1kwP2NW65EVrIleO+QbKLOrYbOo8YfL5uHsb1iZVEJhOWbk7By5wmoAypoOzgYG1UwNqigt6pEKg5xne0ubD5eicWThsBgilNJTT4JNicQ8OmOIxE/UZGtf+zfjQ8bjsJWyMNRGIAnNYBAeNQm7PwZ3SkAZJvN2HzsLPioxHjZHE4PA7BKgIUKUZG3W+5bAuGuDBXsBWrY89XwJonuINZsu6RwI4/9kkISFbLizaKeOgFhdwawquYMk2C1B3yM1sV47VFAikUSEvQTqcJMn9Uft984GUIK1StJ3K1eC+WZABryurNhPTLKKE+e/7R6M5658VJMTimAsRHQN8tFvMLaRlGa8GGKOO5aDgGKtGlU0Ni7En8O3bA0Ydt49AyeWrEZTy7fhH8s34YH//oZFv/0ddz4q3fx9pd7sX3fGXTYleun0ONBOveURMsiQyHFVPh1gDMTcPRUo2WEFta+arjTOPi1HEs2Jp8PKTJRBIByB8KN7UMNXDVnBDJT4gsTXLDvv13w4H+LVpI0GntaV0eMePTqJbqObDQWEZh3h2WS8YIaDZ5UjEgy4/qe92J5zW/h8rcH96FT8RH76I4RIDBrzLi793WwaASYtdnIMQwN0gsq7McYwPEG1DjnzGC++VSdGylaNwlySsDeAJvXgCyDA2k6kScebrR9heMkqp2VKDKFuMnR1uyx4q+nPqDC4Cg02JCr72AJpWSkFkQTnMuL/r2KeU+PvBE/P/g+jrafgj5aMiKsV6hPqXpuriGLLZmeNZ5FJt45tyzItRcBtTLNoDtm83bidGclztrPY01VPSuuxId778JLxQdUUHEhqk1Itz/k6uQFDZxewKgVgSh5jB8q+QGyDKlw8C68enw/TtXtStBGDh6vBj5vF8MBcZi7APkZRhNG5edHLCMg9NU5StZO0Ev0ExX6YR5yFVTx4tJSDYAb+45W/M0boJoKgMBzEBjvXQKzQWpCaDK3prwcDZ2dTINbtt9v+Zpx/KmtumQPVDrlyTOLkqR7wVt1CLi04OgdbQFyzaFJ6JjMIqyuLhPXd3FQtWtEjXtjAIFUPwuR67VaOAI8AqlRsidsI/JU0wteud8sWvGZv2zkINS6O/Dchp1QuaVYHXlXk0ipRqq8LCvJMC+pGHsS+0GAN5kKV0VdVhWw/OwJ2PwevDb/MizuPRhpeiOePbwDh1pEFSOdSo3hGXnon5KFLKMFlxT3R7/UDFHmz2hGsyvOZIeiBDqBTYpEMBVFTSK9cI+ACT0LcdeYsXhq2zZU2WyMRhGiUgRw/0srMH1Qb/z2ytlITTLgsV0b8En5UQjVIqWR7rs8cxKem7YAa358K9YcP43NpyoY1WRQXjauGj0EuSnx8y46XB6ca1b2yNPwTH1MXPjdZ85jcFE2TtQ2xd2X1Nmsj5s7HOj/0t/RLyMTV5QMxLvHDuN8R7sYraDrQ9z1ZHFiRtWAaTIhHjSkac4onO1OPPTml8hJteDZOxZhUJE4IWp3u/Hijj1wOiR6X3Q75B1I44wnWQVHvpxQIJo3Vc2KZCWdD+2D5R8TcDRT28L2FWZ7a2vxm3UbkKMySfFggYFvmgTIfUCe5URGkzJdmg5crg7tmQJS2+N3J/WV1iGwCWJnNxRuvzx6Eq88dBW2H63E+18fxL6zNWGucZEalAjAm2wcdBkmNHuileskkzcm1p5TvFeXbi+Fuj0QWSmXnAk1O2DSU05TfGUokT5FfDAtUzijVw9NrugahHtBKGndXqSGwRiAuSGAgI6Dm/RE6X7SilWQ6f5hpym9Qob2UnaS/M+YEOaxjF7+X2IXAP63aOMzLpEAfnioLTLxzuozod1nxGBLHao96QxIp2oc6GdsxozsH6DQXIIFBT/Dp+cfk8BLAKlaFxoU6BchE6DjePBsRBcHXbPGjZ5GDsWWkUjWpcdsISvntHjEGX4AarR5zewTvW+r16QI8MXzVOF059GEAH9tw3am4U/HqHJl4LwrHVrODyIdUAEnNVRYWbcZD/W/JWbbZrcVNp8dGbpkpOsjBZ3rXY3Y0bIfdt6OLEMmnhx5DV4/uxarGnYlprwIHNK1oQq6U7PGYlLmKBxvL8dZezXePvc5/h37tOYrNHtFzehGWyr4ACU0czCZ3cjOscKU5GYAgpSDHD4dS/QlY1ScsHaG/+ulRGt/AAZNAHNzxyPXKCZJJ2stjAeuViy2FHXeskIIBBgNXuh0PqatT5ECn0fDPNfaNA+81vAKxVRtjVywIoC8edRwxiMONwJ8XUpFhp0Wi1LwALGYlKhnN/QehdEZRbD73DBpdBGVlAen5bGka5747joBARNxaKQfKXTtVIFzh/TaN1VW4npJXaemowPbqkOKSNqkxMpHLKE51wNPG7nXgCRSB9KIB+v0eOBsD0BoMSLgEWkScEpVJekJ1ATgK/ZgTr8+WFFRFktbCusPUJJq8ItoBCwJdMt278QJ6JWdhse2bUSLi5CFuJwS2/1eCttLExtSXmK5FCINiCWsxlO0oZyScxVYdfY0FvYbgOkFvdmn0dmJTp8XeaYkmKVJRrjR9b972Fg8sWdz7E4JZLDCQyGvf+wpizlDLx/cg7snjMPXt96Gn7y3El9Xn4np/20nKnHT80vRZ3wm1tWVBxOzZR55o8OOH6z7GMsX/ACXjRjEPt01pYldQALfBJrIqHTcp+dO4PN/noh7CaONJlhUqbqsuRnHmpuUaR+SQhVFVUwNElUrrGARy1GQzrG53YE7X/wUy/7vZhgMWlzz/lJUNVvBVH3jnhwlwHLwGTk4CuRiBJGtp3ujs4c22DhG9VCRWk383bKCeWUn8fTsucFcAgK5xLmn3ATFAuEKRt7vL46dYDr3nYUcLDVhyajy+Wso6sBB6+KI4cdAbSJj1dgbW9gEYvrwPuxzrKoBD760Aq12ScigC2xHfTA5OR9rmivhlnOJ5IbJ/1KUifC/vC9HQFRxUmiPy+NDwKSC1i5KYsYcj8Yhp4C/P7oYzS4XSqvr8O5hsSaNUsKdO1MFXadYhVctcMRKC+1IHKbYqhlJZkweEFmt/oL999kFgP8tWpa+ACpuEPzCcfadxEjkpDayWlcqHH4D1PBjmLmGfULGoTDpEvZXsWU0buj1F2xrehfVzlIUGVrR5EmSCDLRw4QYUswxdDKlHRpGiN5DD7nd78Dz5Xfh6sLb0D/l0oitCox92b+UJ5DYOAYu4+UA0CIl6TlS3XH7fTCqdSi1noxQTKEWkyRocF0EUGo7GbF9WXsl3qz8Asc7KoLLRqX1xx3Fl6GHKRevV3yATc07mfdd9OYF8EHVMhQYBjKwm0gOjyZAaxvWo6zzOFx+N/INeZiVMwNDUwaj0d2WYDux9eHflBwDTe7WoHJMSroD9dUZ6NGzCfmFrcxLRr/RuqkGqrarQU1nMnQaxuSOe2w6rpvXYlHBCNzf95qIX/JNKQm12skY6ORUUKl4pKV1wu3Vwe6W3boCONEZDhXVA/Bz8HfoAOKFJxMSl7zjHPBs+SY0CDb8bsxcaCVpOtKWzzFZGNiKfwphmX/EW2ecfEEsLCYtp/s22RTAZzW78En1HrZeitaIK3uORP/kfOhUGkzP7ofXTm8HT+A1Jap4DvWrRazEquokEgiHw031uB4iwK9qj/TWqiixOEGXswKYMoriAIfPh8uWfYDXLl6Mh9asRm2HVM2ZgQ8Kl4sAX2elsAsHw1kTrp4+FJ/VHUuMDKOCJsRNN2q0uGPgmIjVLunTH3OL+2FHbRWONTXin3v3wuPhRT5/lDqPN4X41xKvvAvm1dPbtmFMVgHyUkVvd44pCV2VNbtjyBica7fi/ZOH2WSEIiLsHpMoIyqfqsuiUVTZ9qVju9FLk4qvSyPBfTgQbGq3o+qgDYHc2HucnhoCmv8o3YmXLlqMb2JJBj365mbgbEMr6yICp16WzBl7DI9BFDrSJWbosZP3SkGD4GQk3qoUzNADSSl6BOz+uNWHmdSh14cl20phM/hQZbWJ3vYujACxqtgEdlHihKno+HKhMrYGjQPk7Kd8BjFti9FFwlSbWXsONtShKD0FdTZRmpNtT0NFWEmCeFee8pFG9srHjr1iHocrW7xfDS2C6NFWgVUCJkoKtZFRbIRuSiFrIyEPFcPa+OQ92Ha0Ap/vOIbNB86wAlxywjd59EksGiIXAAEAAElEQVR7IljNl+Ngc7oRsPnBUf6BHJkIfz6pX+RhS+L0xzM2LhMQILUcn6DY5sKCVLi0AZxrsGH3+RrmSwn6YqJNEOBOFxWAtC7Al045WqH9UtSQnsM/3jiPyXf+LxsnFZBTWv7fYhcA/rdsfSwjsba+BclaqrzpDYJom8/EqDg0MpCqTbT1Sr4OJm0oBllgGoSe5sE4ay+DO6BCkbENNa40+OXQu/RSJwWeXEOI8hLJaORA9MqN9X+B22/F8HRRNYMs21CIQmN/nLEnkG0LWvwngqYUxWZRKozsvKMBS89vwJbmQ4y/blYbYVSrEkwQSM+fKEFeVDuOIcfYByc6avCro/8MeulkK7WW46ftf8fUrP7Y13YwePyQKIGAU52n4KdMszim5vzINDixqmF1cOLV6G7CQVsppmRORG/zwLjbMtoGAqyAWPT5yE1l/H6oYZauh8HoQ8/iRuTli+BSBv7ytno1j4KkDpxvT4GWgd14I7vImV1UcBFTFwq3K3oPwV8Ob457mQiAzSkswabqCiSnd8Lh0sPtDY8ISVMXJrGpgyHDBQ/RTOgeC1tF3v3SM4fYi+vP48UJKdnN/UfhLwe3xu07qZciz4fyC4iWoPIjLdXB4KCDtSsk/dbuc+HN8p1iPgQvgvY+liychCQdGd5d8t8GAQJ5tT0c0swh93WSLlLZhI7PKfGg5d8JrIS9aemciU9955efs+qWEVvKLAu9AF8SB12nCG0/2nOka7ev1M1yFIY85y/PuBxFSamK3nOS6lxaehRerz9Cr1zclURZIpAkK8p0cfyazg7MffIN/HrxTFw7YTi6YwRM/jhlLq4uGYqlp47gXIcVPp8fB6sbxHaE0aWUT5muv3hvvr51H+Nzx0tCpX4nhRxvrjKqped+3flyVhuBJkbdNQJzt84cjV8vWce+M1pEgkgL0SRICEyRgsKaLqI+L1Xw7V46C7MHFk/B1q3l2H36fFz2AFGwVh04ifpkt5hn0a1QAtDBSPIJVpYHMnkMpZocLaEKqaTwRK8tRgGRE6X9wJJDR5Hi1LDJvTsQ1IVhNQHYZC8BTceg0WBaSS98dfY06ts7GKHSr6dIQ1Q7w7n9imGQSKPjzhqgTPWcPLgYa0tPs4hG+LWh86MJDHnEqc00+bD6iKZKETlSsQP8VLg2bBua/MgmRqoSt4vVFtGooPIHIqRoCYwLBhXqMwO49/UVLPJAx2c5L+Q0CA+kBg/IgWeTDoGNbTNG98bqg6dYngatOqGkB3508UQM6xVS9vmfNeECReeC/T+2OTlT8WXdBrTIbpwY4zDAXB/8Rmr5vVNvxoC0+8PuSwHvVz2N/dZSYgUGR7cMvZ3ROFihKr8OLV4zSpJauyh2JbDiWftbXkPf5Ith1oja1yR3WetugVnjY5OPeEZHtmg8ii8U8p5n6nPQ1yKGxU92nMMjh19kxXbkhFyH3wUnG+zVTBI0CGxVPuQa2pGmdQX5529V/gI6ToWzjjwUGe1smY03MkqTOBUIMG/d3rYDcdtLgNnJ6+K8C6gPXWI9gYil4rftLbuQro2lM0WcM8kfCgH4xFdA2D5Eig2rgUCyaJLjhn7JybPGn+BwYMo/Fr0Xbl7XJSZQqkeQbbTg4WHT8JfDW2J+IwCVqjPiN6NnY1DWbrxbuSkK3Ee0RvRA0u9SMZ54IgQfny3FfYMnodAigtDbBo7GP0p3ifKX0R1D33kOXJCKEmnJFjcr4NUZlPjklAGwOgC/X41yK1XUTeCdonHd6EeA5zA0O+SLHpKdg3xLEursohvW16mDLlX53maHJbDmjJws+v1ChMa+0kbEraZKn3CpsPH4GZiH6IJ1B5ixyp3kvhUPzKmBIVnZmNWjL+O8T8svDqq+KFmr04n1FWI9BcUmSCCf6dMHOQ9xTpK5rkUQ/YflX6MgLQVT+icO7ZNSUq2jnU02hmflYkR2Hr46cQo/Xbs6ODcT/Q/xPfjyJIRAWZPNLlajTWCMgiRxxJWM9kN6/t8E4JMtGjMIp2qb8e7WQ7F5CrGNZlxzVXTqAbsOYuKjK08I0nu6a1qVCnZ3pNqaktndHriJkiZx0+l4EQmjUZZmNqDTneBeZRZOA5E88JIKElGV6BMzWdFIUQU/zzzgPTJTkWTWw+H2ol9OBq4aNxSrD5zC5wfKIpWSZC95kw+LfvIaBIMaFGBiCaMWiJEPdXThMXTLCEQXpqbEBfjLdh3Fl/tOKDgFxJcPvQINDg7D+uShjqmNiVEJ8s6LkpqiQlG4Z5h9usNM5DjMnTEQ7Q2d2HvoXHDxoMH5OMi3od0uOvwI3Ac3ocmvnNsQPRwSJUrFYUhJPp648WL88qqL0NLhZAXRqAYDoyqdb4Kt04XcjGT0zA3RUcPNanfh873HsYdNLAWM7F2AKyYMQVZKguIGF+w7ZRc8+N+y5RmzcWuvq/H2uU+CspLhNjFjFG4oug1OnjSRTcg2ToVOnRzBjf+q7mMJ3JOFXKgEGFVqPyxqN0YnV2FV02BFcE/jKRXHogRamgzIinlnOtYEvfgfVv0TLr8DydoAmtw8U/iJB/qGpGTB6muPUPKgQKBRbcYdvR9mnjA+wOM3R1+FR0HfXG6hT9JzN6q96GdpClKJ2P6k9zd5/XuZa4KeySLOBgevRVlnHjwBLfP2JpIMpT4yabxMrSgaoBpUgWCkQ8lo3ZX1a+DyJMOgEycesX1LXh21KF8ac46ha0Xeb1bfIKxCetzjCoBZ64WnC7qUSa1HkUmcoEXbjwZPRKreiOePbkejS5SRpMNOy+uN34+di3xzMmo9jfD4ukIfVPAovPpxnLU4DqvOn8Rdg0Q5QJNWh0eHz8Dv9mxgSjnBriAA4qE3OCnoECUmUuFFpQpAr+fhI5JtIo8v3fsqgQHsOKIi4afARr7kZB1m9+obOhbH4eGJU/DwejFPxtuhF3n4VFQp2nlIYM6rBu+KGkIlyl1X3mlPjh+qehJ053B58WAsOVMqJiETUCW+frChBKgElDW0sGs4s7DrZPMGu71LShY7X7+KFaLqypWscXIIaME+d32yAn2yMnDdqKG4csSQCMqDx8/jH0d34L3yg+jwisCxhyUVF6X3wwc7joKnY0kAnKRA6fiJLGAU0ZtaR1zixOcjK/LEM6NGw+7/b2p0Pz6yeAaG9MnFg1+tVmikCPJkR7isMy93aTBakk7qQd332offk1OLeuJIdi3KqhvjRjEYlSMzFc0BMbeHjkOKMlpH/GDBLxbOxCtf7WLSnV3dLSyCohKCgJz2zcC9dKygyefPEjsFqDwcqptteHzGXFw+NpQzMrlvT8wc3Bu/eX8t7CS/SgmubslTHpC04J08OJ1IH6Tkao0DcOWKkxdm0u1Ek11y7Jj1Wlw9agiW7DsCL0/1Y8SZP/VZUVoq3rj5CmjVsfKw1g4nXvoqQV6WBPLTM83wewNoaOkIDyIySo6OTkE6//DAJqMFSn0Sl5LkD2D2hP6YNLwYrVY72qwOpKWa8fb2g9i1rUnxWZbmx2yCE1F3gaJZHTQGCrhi/ki2yKTXoUeW+O7YWnoWz320FecbQ3TEoX3y8PANMzG4OJR0u6+8Gg+89jncvpCi257T1Xh9/V785dZLMWPIvyd68V0wjt49Cu+Kbk3Kvid2AeD/B+zS/IsY0P+8dh3KOkTJxDxDNls+I2sidrScRFm7kXlXx2U0YVSa6O3f1PQV05Z3+OXKlcqA2+43opPXY0hyLo53ivUgk7UepOqcrGBUnSuFgWHZ6l3JGJrUgP4+MXJQ5zqPc87T4t44oKfFiipHGnxM2Sc02Gg4DR4ZcBMmZw7F3rYt2NGyAa3eJhjVJoxNn4YpmXOYBj6B3sePv4wOPo7ygNRuBjUEDj1MbRHgXjQBmnDgF/abUe3D0ORaHGrv0a1iJOQRv67HAqxrKEW1U1S+oJcI6e0nmhyI+VN+NLbrkZ3Kw6QLX198jTKvrqR08/+SytcVv5/af1nhOBjUurhA5YZ+I3Ftn+E40lYPJ+9D7+R05JlCk0cvqbkklMrsvlF7OnyR3sHrBw/DqtOncaChFgEZkIVRNaan98NBZzU6JXDIcILEgxcTjBPzGoLXjb1Qu+ZA/GXmfEYhCLcrBgxiCbJ/2rEFXr8AR70Zpmwn1PpAhIY9AXtnmxw9+9fMm+5HltWEMbn5+Or8SaZ+EogC9/Lf9JJ/YOOXGJCehd6piaNIqQra/tHG+lwA/jBlNl4p3YcGe2esypHkvScQIYt00Tqkj//4mk347PBxvPODq2DR65nX/tZNH2FvY3VEPk11pw3vnTnMJvxMnlNyOIgeZpLsjKXqyKA4YKbq3Bx6F2fgVKMEXBWMeZPTAtDXquFPFsCnRLqtaR9X9R0ac627a6fbWvDrQxtiJm6UOErAM7Jfw/pO+kKUHBkMf5MxgQBqL3Mq5v3zHbidPpbLHs/o/rhp2kh4T5TiRFMz+06RAkqIDeq6S5aRZMKvFs7EvKEl6Oh046llmxK2Q6viMHdkf2w6WQGHR4w0sQq18R4xCdAyjzYlmHPAx7uPRAB8Go+SOB0C9V4Wg46zC+YdJ4lIdhg/VQwGDD0MuHnsSFwyoARfnzoLu8eLXhlprGosVWa9Z9oErCgtw4mGJnbNZ/bvjWn9imM450SHeeWLnXh79V64Y+uORbaH49DYboet0SGqfZljTzz4GpC+sO/k3DJS7kD8iVNeZjImDBWjYhlpFvYhoxoMiWojsO6naIqM4pgELmCwCpg9ZQDGDOsRsf6Gfafxi5dWxlyy4xUNuOvJj/Dqo9cykE85Lfe/tgJeX6RcMd1TPt6Ph99ayRK6Kan/gn237QLA/w/ZqLQh7OML+EQOqUqLso5qXL3jSbR57Uz9gp6tD6o2o48lDzOyLSht/1rauitQIWCXrQ8a3KTTbWYvpmZPEjScH1oVASbZnywgT29jnP8OXouTHTZMyQFqnKHEVTKizvS1tLBJA1V+pa0Nah739b0NEzJEL8GkzFnso2T7rUdwiCXJxosCyMZhZFovCDgf84vYG8rgm14gVLU1W9eJZq+lS/4pvaTn503E9T3mMYC/uflrbGxaBy8jknZtKUYPKpsykWx0IdXkgknnhVZN3n8Wu6YeS7C16LUnGpD4rasiZeJvFHFRMRkL6sNQ5Ic2I/WbbG0eCjQ9GKCK5mZTESQy4uaTt2tkprKeXP+kfHytquxGD8ievPhrEFc8nE9Kptdo8M7iK/GXXdvx0bEjcPEinSDNYMDtI0fjntHjGFXls4pj2Fx7Fj7Bj6JkI7bY9nwjGE1ef4oyJLJZhX0xtzjkvQ+3W4aPRN8cC+7e/CH8PjXcHXr2ElXrCOly4KkyLq+8f+LNxs+ACwOwxFs2ATbBjp/v/5zdB2qBKiore9TlnnyvrBS/nXRRwv0XJCdjeG4uDjc0JIwmEPA9Ut+AjxZfi7tWr0BZS3MkQPEBGrsodhi+C3mVEw3NeHL9VjyxYA4+PnsYuxtjn1uSK+VY9V6JTiGfHkXkDKKHl4jMEdVoifecyrN8FMo7GFtciOPHG6FmeQuxkwF6JDyZAeib1dC1iFIhfJqUc8RxyDSa8cDwyOrR3TWKSvxg9Sdo97oh6CWdfpqueEPgPt7VZjlCFJAJY2MGo4YKG8nJ/8GkZB6oqyX5TNEjTjQQKialBD4nDeiJS8cMhDndgHs++yLUBgL5GokLLgAjCnLx4S3XBileV00aih0nzmF7mfjcB7nyKorUCfjt9XOweLwIzIc//Ky0jlhfoSuTPe3U/vOtRJuLtC37zwR55UrGuigQGiDpu9YNLL/lBhRkiIppvbNiJ7upJgNunTSqy/a99uUuvLFyT1R0Nc65SEiX+oRS5/x6uUK08nbhS/16EYhTlVp5TsSeS1bTBLh+9ihx3FCgXCUyFv31CTC2iVECuj8M1gBIdG3D9pMwGrT4+T1z2b4JmD/53gbxXKL2wyIyfADPfLgJb/zqeny68wgD90qRA/F9JWDptlI8euVMfK9N+O/n4P9H06i3bt2KhQsXIj8/nw1SK1asiPidbqTf/e537Hej0YgZM2bg+HFRgUY2j8eDBx54AJmZmTCbzVi0aBFqasLVZ77bplVpoVfrUO+24icHX4XN62D3lzcQYB5E8qie7WzAe5VlCQFVuFEypFz8KHzwouRPNysmxSFT24kFWYcxJe0MBlnqMNRSAz02YmPtwxAUdOJpHKMoQIGpHYWmdmTqHfD47Xj17Iu478APcc/+2/B42WPY2bKNKdaE29r6LTEFcuLZqDRlfm+sRz/WMvV2do6i/1h5ZaJFjU4bhjRdCrvn3IE27G77Cj6pXxIdIwjGVaKiTbvLhKrWDJxryWAVcDUqARq1AH1Q1kFgykVUp4A+DKCzCEJ4dVq6VlIVV6VjMu17Dk6fFkJAhUtyx6CvvhfT6wv4ObRbk9DUlIrDtS48vH0Vpn32Cm7b8AmanHasrz+M23e/gKkbfsU+d+99CVuaIp+fcFtEEQC9slJHeC+kmVwoSlYxIBK3pwTg5aN78UWlqAMvm1GrxWPTZmLvD3+E5dfcgC+uuwm77rgH942dwF72yToDbh0wBm/PuhYfzL4BfxizEEkaI7RMKjT+xRELgIn9SXKe8YyT9Nt/MXp6wrPUa1UwpniYFj6vUsMfUMPr1rH8A5ZcHC+LgxPQNz09Puij/7RSvJ6wbZakM04sJT7xORLo21rTnQkYcPeYsV1ShWh/O6vPozA5GV9d8wPc2XcUdO0ctO0cDI0cDE2i4ka8XdD2K46Uod3lxjun9iuvFDYUUFvUBOjFjgiCfD999AHwBj98mV74M3io1Bz0ag1emXk5+qVlwVnkZ176yOwYcXtnMc+8xbIUqLaVyPuiB3xuj35YseAHyDbF5w3Te+ZIYwM+P3kCGyvOwuUL0QjXVJ5Go9POzjVgFCMD1Aaii4jnlNjcGUJElV61k4PWLvIN5efnkQlTsOzK63H1wMGMjrOo3wDkwwK1PXISTV5z0kCXFV7I0ixG/OjiCXjujkXMQz27Xx88MW8W4+3T+VMeBC2nCerkkl5444YrI/I3iLLy9zsW4ueXz0BhpgiaqVkT+/fE6/dfjcsnDGFAb8PpsxDSVPCkAt5kabLWFU1PiFQkijaSiOxqJ5zCc36uPn614O5ah8ONt1fvC7WTsmUTATuaYPjCxhC73AcK9JnoRpMX3yxeO0Z1k+g9Kq8AtT2A517biD2HYp/rwozUxPcXTQI9VI2ZJn4CjFbxeZff3l9uOIpPvhLz0XYcqUR7nIJaZHSNj5ytR1WDFVuPVyak+FFUYcvxSCfg99KEBJ//EvuPevAdDgeGDx+O2267DVdeGVsx9Omnn8YzzzyDt99+GyUlJXjiiScwZ84cnDp1CklScZqf/OQn+PLLL7F06VJkZGTg4YcfxoIFC3DgwAGo/8WQ7H/CPj2/nVEkeAqthsnaiWMPB5dfhya3BblGkT+dyGiAcUWXrxN/YS+nJI0T09NPBUkk4c6DOudOpPDiJCMWv4XufA5qfHh+CQu9y97kGud5vH3udRzvOIY7iu8O6pOfc9ZATaC3G8W4OuNIwXXnnCmfgFp2ce5srG/cyF7c4TkOBO6TtGbc0uvq4LJNTWukXAhxYJQfiATQFT7SUQszl0+H5k4zMi0OcSKk86CDqNuMsxp6B+io4jC0cPlU0FICHBfKPSD3mqxwJC9nlOwAUF6bi/Y2C/y8Gq+dqZLAYapYeCqKmk572FpXiblfvAp9ahMroiXbMdt5PFr6Hn7YZzbu6DM75tzyjGn45ZDL8esDX8LhUqJ5iBOW3NR2mFUcqjsUNOIk5KbW+OHzq/HwjlWYmleMNEMk/9ms02F4btdKDiR9+YPi6fhn+RqoVX6JqqMQHicPFq8K3Qs6P8wwo93rCUbDyDtKuvkvz1iMvqnKuQqy9bbkMI+qy6WL5SJQDgExFSLmwdKEmgOqXFbGTXdKQFHOTWFgmzi5BPDlvgq7lbrzXukOt57s/ROHxPuIbhG5minhSlmEKKLVohf4gWkT8dm2Y/D4RNUTtm4XTCcqvnOisRmVnXHkYzVCxESDaDpEbQnQ8jAFHzXpdus4TOjRmwHSsTmFuLrvUKQbTCw5lvrTXcDDkxNgUQU6L6ZaI8l8cuRZDwIwDvf2Go/bJo9hBbcSGQH7R9evw8mWluAyi06He8eOY5Ok7bVVQY86RV34FD/UHWI13ETGvNwkt6ghr79YPZiug9wP2X4jFowcgBsGD0PfNLFmxehcsUDcjsoqfLX3VFylHkqs1HIcXrxiEfadr8aX5aew/NQJjCzKxw3jhuO6EcMwt6Qflh8rwzmrlZ3P/AElGJanXNiIQP6N00eyD117mgDIdBYPz+NHn36B7RVVLNmb3X2UP+STayrEvz/YfSdRjRaOilUf612YkdBpFe8nnbZ773XyWm8qPYPdZedZlGBo7zxcMm4ATAYd46KTqpM8USGQzJvinIj0zMmVZNnwS7eDV6qcq9RwBZDPpHLZcCJAaxd5+9KP+Oe7WzFuRK9goUmyaycNw5+XJ6BPsSq7Aps4aFxibQnaNykOqVnBO2DJin246pJRaGjtEPObuhg/aL14lZHDjWfVxgWU1TSiprUdyUYDxvQphFbz/cFc/wv2HwX48+fPZx8lo5vn2Wefxa9+9StcccUVbNk777yDnJwcfPjhh7j77rvR3t6ON954A++99x5mzxYBy/vvv4+ioiJs2LAB8+bNw/fFNjSWskShELiPHWxq7GnINtiD6iuKoXyB5HRVsFOd6jg20NzAIIdycqeAdm8pPP4+0KtlT7OkYxwGPgMC0X1IAz9Eu5G9a/vadqPEMgAWbQqa3M0sMTjUZuVzIyMYttd6Fka1AVrOE5EgLL5Y4lNZ6EXhDuhxT58rcVnBNEzNGoVPq1fikO0Y+13DqTElcxyuLlqITH0orFtuJw1+Cov7kar1sImRP0xMVPbVyoeloa/VEQsaKlszWRQgN1kstUmUHXkP4W0OCFTCXYWq9lTo1FR1VZSCNOs8SNO7WZIvfeg+6PTqcLYiD25n1LVk2slRihJhRmDE5vEiyamHxRIK88rc6NfPbsCEzP4YnFIUs+2iwrFYXb8e+xodsDlIcSGEBi16DwrTbayYVrtbA0uSF06nmslTyj1Eia56gxcaTQAdXg34APDp2aO4c/A4/KuWp8uH06OBWe+Dw62TolNCZMSK6eaLbSVAlp+UgmWzbsfephpsqa1gz9aIrHwsLh6kWJwp2tL1FszKHYKlLeSpirrp6Csp0NBNR15jNnuQ1iE6FdV4UFGCIAeOKupKVA2/1h/GUhPAaSN19jkCvd74iJrOa1J+JK822uhYy0+XYXvNeeYtj+b+ErgmgEgUC6JhTOnRM/gbvaSfvn4+Hnp/5TeaTJAqFuMKKzWbQCGRx8OKi1GejZpyDcIcuEYHh78vXoBZg2NpUyRf+tDIyfjz/i1sUuAjmcngCYv/6NpEiVR2SBWHk03N+OnqlWhqcSCHN2Fczx64cuIQ5KWHck5OtjTj+k8+hscfGbG0e714esd2VtcgJi+BqFXJAaC+6+A33abiRCC2Y9o73bBaXTjT3IqeyakRyZ9EfYpQl4k26rqAgAc++ZL1u7xetbUdy0vL8PM5U3HHlDG4Y5xytedEpo/Sif/rpu3YWSlSr4KtkU+H1TNQ8NvI0Qq3eC1SjAZcO1GsNRFul04djJc+3cES4+MZS/sKe0jMBh2GFnftGKiob8V9zy1Ho7VTlKEkj/auMjy3bBv+9qOFOFnVxChQ8tNGaj8BL01YwlB82AmzoCxN2HiR586WMn9SvElBgokxRVacgYhn9mxVM6pq29CrUJzskV05YQhWHzqFQ+fEytFhGwQTf2kCyavFpGeaNFDRLzaRZ0nsQIPTgVv+8AFsDneX4J4sNcmI4cV5qGhsjcv/p/7skZWGK//yHs40hGS0SaHngfmTcPWk2Gv9XTSOchaUIjD/RRSd7ywHv7KyEg0NDZg7d25wmV6vx/Tp07Fz504G8MlL7/P5ItYhOs+QIUPYOvEAPtF66CNbR0dUptR/wFx+rxT6R9zMJfL/Wj0mZBicUSNQaMSlcjLVDoVqLGFr9jC2JVRuIcCUpbGjzpeCJK0nBtyT0fYGtY9VyHUFNEw5JvyYH5x/l70ciffPs2wrWXpRKTlJQJLWDaOah9Vnh9VnYbkDSRoX0rVOSUGHgyaB3Ce1567eP8WAlLHse19LLzw68H7YeQecvAvJ2iQY1LGTHhkUkNQnJd8SuKZqwnJfyUeUh+MaaxpTyFHq2RpbGhYXzIdHU45drUcV20nnQuCfKD0OX6g9Hr/AvP50fAebnAnotJokcB/jDgIILHbhXXVGAXzZyDO97PwuDB4aC/DJruwxHU2+D1CUaoXDQ5KiKug1PujpmFI0u8lF1W8EmMzEd6dkY7EnSTdeljXV6XnwHj1OWMVE5n/VXijbBpfLCLfHD73WBy158iVQ7w8QVzjSqz8puxhPjVvIvL8X9yhhn3/FfjZwAZafeBFOf5yOZmwwAvqRVBQy5i1TSXScmM2lu8rHwe9SQ6X3i3xzvR+8Nz5wJCD3g8FizouS7a+vxaOb1+KMtQ1qFxW7Ud4X8bh5KnqnB24ZEbk/Atgf3ncd3tx8AOtPlMPbRdUXs04LgzGkqqRY/TWVh7pRxwBGBGVI2mZyfhF+NW8G+uXGj6rcPXQc69NnDm6H2x+GzCjxslkNTdi50mRuS2MlkyOla3RSB+w6XoPX1+/B4zfMw8JxomzvMzt3suTgeED6pX178fC0SbEgnxKA1QSgEnnxWVGMuEYj9crjp/DF6ZPIS0rCG1dcjv6Z4vnrNORgSOzaJk43H5HOLFInyP6yfhsG5WdjYu/Ek8GujGo5LD14JKHcqnjvSw4HqW30MbaLQLkoMxXP3bwQmUmxTpH0ZBMevXU2/vjGupgJDdsNA6qR29w4exQMusSwheQ4737mU9ik6rThQNXp8eKB55fDIkk2hF9BlqdAIF8doqXJSisyb5749CpXWEEreWIbUfQkYWIGo9WoFej1tnYn8XKC33UaDf5xxyJMeuJlMUIVsR/WOqmR4r+U66HiBdYuv1GMCpOdqo6foB6BC3LTUFKUhWs1w/HpTuX3l9yfNOmIvi9sDhce/3Qji/rcNK3rHIj/uAn//Rz87yzAJ3BPRh77cKPvVVVVwXV0Oh3S0tJi1pG3V7I///nP+P3vf4/vkhUaM3GSqdgkemkIsHmNEsBHxLpqTo1xaVPwRe2xOPQceT1/MMEzkRFnnCrrZgXsyDZECzvLxrGCG9kaOxtvnH49OnlKwhW5AUTn4KSJAKn3kIc+ttqugHS9k9FrIsdIDh28Eb6AGlm6TvEFIEcSFLpoROpc9E+OrOxJZtGY2See9U8ajFLbPmjUos40JSGnaSnp2CBNWkItqu1IRpPTrDCKi/1ZaE7BPQOn4o59q+IeL1z2MgTwBXh5DQP+Gbp2pOjcaPca0GBNQCNRnitFrBBPEYeoKic74uepTM0ci1X1m1HtrEeSMUyfXaI5ZelzUMk4KtIy9nKPvafIm08ggLjU/4o1uTuwtHIvTtmrodKIgN7p0SsX6iroj7kFAzAsPR+9khKrzHTX0vQW3DVoEp4r3RkfboV776OMPNUCTQ7CcXYQubA1EOBVCDg1UCd7odIKUJt4+Ok7S7gUgufHCodNm4ciSwqWlB5BaX09eyam9OqJuf36oqylCTd88bEYXifKAdFYwpJQGZWezckkL7eLw51TxmFQdnZMu0vysvD0DfOh5i7B3UtXYPvZqliQK91+N40dwWT4WB9QBEIhykaSmHy2F2qbBvCEPPn9szPx8PTJmNm3d5fXgsA9gfybBozA1e9+iDMtrYRwGadd3h8DxUymUGA8Z32jmv0e5Opn+PHrD9aiZ1YaeualMb59VyNhwCewiA/RrUiLnyIytJE3JQB9m3KujwjOObHCayKT+rTRbseNH3+CdbfeinSTEdP69MIT6xI1KsrBrOBhfXvnwX8b4FMCdnR0Q8lS/XqYU/Qw6bQYkZ2LbM7E+mxEzzyM61MUQTuhCdWastNYVnocDR125CRZcM11Y3DqYD0On65l62g0KnjIpSN50+UiZ4smDcadl46POT7tc0tFJarb25mCVGeDC20dTsX+Ybk6fIApZcVcOaJNEr0wzikzfjslgOsBg03i4rs4eM0iDSkc8JLDSZ7zM4oXJQhxRJ0BjC1i0aloy8kKRZfIdpVV4Z11+6Frk4YZYkQy0B4ns4ZUbowS9UeS50yUgxOxKYAfXzONXauS/Cw8cvkMPL18c0SBOflvioI1tHfGnfg9t3I7Fo8bDItC3sUF+3btOwvwZQsfHMiYF6iLbMuu1vnFL36Bn/70pxEefKL1/CftopxinOyIPymRLeTlDwEuvdqARwY8iXRdFna23IpGT3yAQ9VyifNNQDaeUd+RYg4NDxaW+p9I5kUE7TRpMKs9bGLQ6rVEwF/6LVnrgtdPVQ0jbzmSuIwG92EtgSugR72bKniq0eQ2I89gR1+LEwGIk5xkbRYmZFyOMekLurwvlOyi7Itx0LaHPQjy5tQ3FDmghF1KgCUNdvo3Ve9Ck5pUenzgeY1UDl7cqG9KGqOEGNQauPyJi8cweeaISRZxfMW+pFyLTIOD9cspkr+IZ3IyUNxTFhjAjmd6dfxJICV9/37wg3jxzPvYZz0S8dvotMG4uec1WND4XJT/MNZogkFqOnOKQpWMu2P0/L58ejNeOb2ZfafEZTJKtOX9Kvh8kdEiglmF5lQs6jkE/6q5/T44eQ+StcaISsC39B+Dd04cYrruijKSZAk8uUGQH74sNnUQ/g4duDQPNHoB/dPTMMhUwPjfZFMLeuGWIaPQ6fBg8kuvMgoJgQa63z85egz5SUlIzzDC5/ezAlqUZOxLF8D5SJaSPHmh9nJeQZRNFDgMTAlNIOll/emR43hr/0GUt7SyFo4rKsSNI4ahxeHE8fqmIIiROekTehWh3taBWz78FBwlchIVR8oviPHoE7Ulg0qBEu9ZjG7886oF6JH8zaT2CDj+5eL5uPHVj9hkRky7FZgiEW+SeP10XIqEhElwqtzMHQFeL+C3H6/DX+9c2CW4p/Nsc7jw6+HT8ZstX7PrGLzkRpFTLRUjD7uS4ho+c7CSnaJRu0gmVO57m9uFT44dxd3jxqFXehrm9u/LElsVNdC7oEgTCNtzrhr/rhFI7tJIrt7lxWhdPl695fKYnxtsnai1diDFqEdOahLu+PAzHK5tCN5L56027KmqxrD8HHx+/50sAT7ZrMfhs/X4avcJtHU6YTLqkJNtQVZGEk7Xt2BgQWhSuvZ0OX69bgOsLldwnwx4pxNtSxngBvyU76R8LonwMLsSKg6uLIGp+RBYzzIacde1U/DJriM4dr4xeM9PHdQb9186CeX1LThR04TPVh2C0C4W/oo2UrkZPrAQedlikjPZK1/uwisrdzNQLVZ9lkQEJG1/RaPzJ+qgFNDsCtzLkdZUixGP3HQRpo0IadtTPkb/giy8t/kA07+nMXlUnwJcMnoAfrVkrfj6Cc/lCVOm9fB+bDhyhoH877QJsZHX4PL/EvvOAvzcXDEhiDzxeXkhzl1TU1PQq0/reL1eWK3WCC8+rTNp0qS4+yaqD33+0xYQeDQ7N2Bl3Yc4YvfBoM5jnu4ETzDz/EpkCAatM/Q5uK34QQbuyXqYdGjydKLZI6tGhHuZOeQb2tHKW5Ct7Ujw/hHQ4itmqacE2BPL19DLXg2DygMfNCAGu0ntgcOvj9iMQHO2oRM1ztQILz5pzycyGoDa/Ua0eUTP+XlnJvpYhuPefrNZP6Ros8FJybzh5uTtaPTUQMNpkW/sxSIcStbb0g/XFd2KZTWvR3D8GS0owKHGkcqkQWXLTnIwcN/uNjJ+eS9zBm7uOx5X9xrNgKGDd0pgPQE9kynjqBNGDcUJQII3DkkPahK/6U2m6DiwlFQNDmPTlSUiZUvSWvDowHvQ5G5FWccZtmxgch/kGERQOD1nALY2nVT07Mrm92nRLyUD0/OL8U1sybk9eOl0KLksvB81lNtAeSZ8aOjyCQH0TU6cNBvPTnXU4Y0zm7ClsYyBRaNah0WFo3F7n5mMh0/JwUvmXc+UieqdnSxhl4wmLswYpaaLFyl721K744VdRH9swK2B2uzHb8fMwfjsSDUpSpa8dtlSeCXJU9bvUt/X2ztR02kDUgMIELuMFrtUEAJRr3h6oetE2URth4DS+gZcOmQAA0WPfLUWK46fiBgt9tXUYk91DR6dMRU/nDgGnx89gVa7E0VpKdBxaqY1Tso2gWS/mHgs3bKsa6QdURtC5yhx8qUJW2d49d5vYIMLcvDOHVfjtys2MH18b4ogVpkNMyYPmQYInQGWiyAmDAss8bO8oQ1L9h1OzHOn82gPYNnGo3AYeAisYmhYf1KuRRag7QTSfDrYXV7Ry6qXZDFZxERZxUieBIQHCKkZX506zQA+2ZML5+HeT77A7qrqoOeU5p0+jYAktRZuV2IxArePx61vf8q4+FP7Jq48HM9aGjq7BL0yTWp7+Tkcq23AkALxvV3R1IYnv9yMnaergnjJmKyFXRDHe7nf5X+P1Tcxvv9fLxdz8kaXFKJPQQYe/XgN1p86CZwORS2G98jDX6+/BGdsbbj/8y+DTZH3Rf8nHxf9a4iT+61kxFln9TkSvO+IvUnX1NLLhB9PmIB5kwbCbNRh8eQhqG1tR7vDjZy0JFZrgKykIIvJlw5Ny8Ljz61SBPeUmPrAbTOCy/adqmbgniyRDn48C08GTmT3XzkFPfPSMWlosWJy7Ji+hewTbkeq6ll0LCK4Ld3LDOT7iWaqYlr6F+w/b99ZgF9cXMwA/Pr16zFypMgTJTC/ZcsWPPXUU+z76NGjodVq2TrXXHMNW1ZfX49jx44xBZ7vsvkDThxsuAtlnWdxxCkOwLnGTpyzx/e+U6LoH4f+HPXuMyxxtchUjL6WQRGe61HpF6Hd9zGSNB7UuZLhljKgTGovCoyivKVZNwNG9X54/BQxiAWJwzPuxMS8ufjFkRe7Qypk1Bvi2vsk95lZ44HTr2MTBKLpkPedXnWkKpNvakeTOwle0nUHSS0mlr8MqeOEvqfqkpGmU060cvAd+KLuXZTadsIviGDIoknBRdmXYWrmJYpe/mlZs2HzNWFTU0g/mqIcp9uzJdnNiBZBo/Hjjv7D8OP+i4NKQeI2fjy893M0dCYhN6kz4Tl1esMnmIJUQZdjlCQq6aXieKjVfvipyotS35PXmN7xij8LzNudldLBro4nTN9fTppeUrUFzR4bHh6wGBZt/Aqf2YYM9gnnN6+oPIYTjQ5Y2wn1CNDq/KzarBwxYJWS3VoUWzLx7uxrImT5ujLqQ/LeJ7wfNAH4+FCompRxLi365t6iA60VeGD/WwwYyNEIyoX59PwebGk8gbcm3oNMQzIGpGXhi0tuxkule3GyvQmpBiPm9erHimE1CQ5lh09woQBTmotp6QcSVm4lZRINXp58ZQy4J3v7wEEpCV/eq8D04kWPHXHLwlrhD2nPKxxG5JAbgDq7mHu06sRpBu4jmh0GmJ7avA1rfngLXhncn31fe+w0fvLRV/BbBAimkNc+OOHxyvwASsQgvlBsAi55xwvMkZSErozOnyQsmQJTjzwsf+AmvLRnD/6yb4fyedI2SfSJrHLrswh4b88hTB7UEztrzytGZnRWUQXGo+LFyYPCI8i0x1NIDSYbv5k2A0uOHsGXp06B93iQa0mC3+lnEyJBAdzTRCB6nxSZkc2i1+GdG69kAP/LY6dw3NqIox1NbHuH0yc5aRNDuH3narC7shq/vHg6bp74zTnRJ841QWMHePIVcfE9oExRRsVh3bFyBvAJ3F//4hImgymE9VUnVayN02S61746fgo/nz2V0Xa8PI/bX1+GM40hdSN5X8dqGnDTyx9Bn0PaqPEp0940QG8TFYzCjSOOPRs/Io1VI9aI1yi23oIIYnmptp3fwuGKWcMj1iFt/hSLASuOnsDGUyS3ymNIXjauGzUM86YPglqjwvMfbkFTayfz5FO/DS7Jw0/umIWS3iEq8pKvD7H+5ANiREp+lIJlUOIZTWAlek537IoZw1lUcOWmY0z3vqRXNkYMLEgYCS+raxKjZAqQQH5VUmXerOTE6lXfBeMuJNn+/2t2ux1nzojeQTmxtrS0FOnp6ejRoweTwPzTn/6Efv36sQ/9bTKZcMMNN7D1U1JScMcddzBpTJLIpO1+9rOfYejQoUFVne+iuf1OrK5+COWOFjR6C4NPS5bBzrjXVq9c208KL0v//mbI1ShJ7ss+8Wx8xnzsb1sPjrMhx0DVKUURZtJop4HQpMnAnX1+joDgxKGWl3C2cxUCgvhisWgKMDT9NvRNWcC+vzbmV3ij4inUexQk28LMQrFKWSGDOPfg0dPQgiS1R/SEC4CNN6GJyjmqgHxjO7SqNEzNXIAtzSvh8McHw0wqMgxkE398dq6yOoTL78ALZx5Dq6cxQh7Tzrcz0G/ztmJRwc2K287NWYxS6060+9rYto2uJAncKw92K2p34vKiyehpDg3Mb5bvwuaGcggwIEnvhlnni8wrkJxDHR5dWFEt8UWj1/DQq7T4+8gHcO/+l6Di3OJg7k8wwXKrwMpbRoB8AUkmNwoyrczbLfafqLUfvg8CtBsaDqPK0YyXxv4Idt6L5eeO4HR7M0waLeOzT8yOlG0jrutdWz/FlroKdk/K2kpeD300sFjcIBGOXsYC3DPsIswq7PONwD3Z4bbzsHkTUwOoSWry5AfERLm/jFsEoyY+5UjJqPjXrw9/xLix0VQjn19AjcOOn+3/GH8ccRXe2leK9w+VwhdWkKe6pgM/HjUJj+2kCqeRijPM0yi5G40pbugtXriDkqLxraclHTPzlOlMq0+VB4Eoo6SYAyH3TNRtyqg5XWng64E0ycv43sHShN5s+o14/7+eJXoZX9++nyEO0q9ntBzZtepQgyM1I+nY7K6lSAJdK5oIhIUHSJ8+VR9/YhluVVYbXt61F18cP8nuQUrsvWrYENw9YSy+rqns0hMfna8SMAI+rYDeljQc0NTBzfPi9lyY+oskg0nnmMhou13V1chMNuN3c2axj2x2jwf3ffwldkt0GTkfIlqqVO7jAVmRUSh69ib26gFOy2HJiiPBu9RnEKC3d+MaS33y5zVbMKVvr4iiUOVtrTjXbmV1J0bn5TOva4xRAUGrqJITVMoJJ/9LUpHiYg4Or+id/8tXW+HyRioQJRhKI/py6+lKXD16KNYdLcepeuXkUPJqU+VlbyL3pBRNIn68Pur1Qnh/9IAClJ6qi1CWoeZR8ivz0ouBwuByYpa66fJI3aTU7+XNLbjl/WVodYjjF21/uK4e7+4rxbSinjhZ3oh2vRvIV0OvUeOS4QPwy6svikkaPnymDl61ACHMBxRxF8bzt3EkxSrWXegqzS4jxYw/vrQGW/aG8BdZz/x0/OHBS9GvV2xuDvXVO9sPhjol5vjiddZyKswe9s1omf8RE+Ik1F6g6Py/sf3792PmzFA1NJkXf8sttzDt+0ceeQQulwv33nsvo+GMHz8e69atC2rgk/3973+HRqNhHnxad9asWWzb76oGfoevFW9WPAqbrxGCoAMfFkQh4PL/sfcWcHIc1/bw6WFe5l2tFgQrZpZtmW2ZmSHG2EmcxHmJ7YADLw44ZIccM8Qg2zLIlmWQJYuZV7xaZh7Gnv5+t6p7eGblfO/lJfnr6jfa3Zme7urq7qpT9557bq2tH30+CwOYlCxLz1GVxYTvTbgVk7OjknbpzKzJwl01j2FZ62/R4T0OjQxf6D4mL3u+Nog+fwNKjXWYV/QQZhZ8Hc5gB9SCDjZtZQTQ9fpacdC+EdXmAvT6j8iS38ncYa0gwqzyYUjklCCtEIJNlhlQsCFRgXI0HljVPjT6ChCQdJiZMwPnFc9jHP+32t9JqxpB+xjyGdmnLKmwYDLGWuPDhop93rMCbZ4BhCU105lPzDNY378Sc/LORLEh+fsGtQlfG/MoXmj6Pdo8jRjwmTPOSJQE+XHXTtxTuzTiXXypIVoVsd2ejXyzG9lGL1tcKVEBu88AD9PRj56vWSvCqFHjV1O/guVtm7mnFjqotWFWzArM8xvP2WemAQr1VuhMYXT7HSi0OWAx+iJqN2QkYxqfLBw1OspRZwf+e9+HWN54mE3IdP1p76+e2IXJOSV4ZvF1cIfcGAw4sbL5GNPYV74b2x76jiaYg7UX3IssXTxwo5yEYDgEi8YUF/FIZR5xZNqGgsXmF1bh/gmLMKvgyycTbu47hn5//MxPC1GvXyerJAnY3NOFJZ/8EZJLjTCbbaP3w9G+fjy+ZgN+f/6FeOnQHuzq4VJ2tMXMolLs7elCWBBhsPFFrloXQtibnn5HHm36XjojZYrI+TOveMyu6P6KnfQZNSdTWIz/mFnKj3e4ty9zYRtJwsGe3kh1zfqOHqqzxheWyuX0EMleXuQri33lQPQ+LUapUJQMvCZb0p9rrJHG/g2vvglPKICgXmT0Hrsk4qX9u/HRkaNwaPyZ5TzTAREt0OayY9nV1+Lh1Z+ivrc30oekyR9ZpJxkWo/D50eeSXHMcLPo9fjOWYtw1bOvM759ukgAGZ3DjVOnJQGqj08cx0NrP016/INZEitINhLIhzxuLtu5Hw9fcAYO9vXgB1+sxt6eaL5XgcmEB+ctwrUTJsd9rzjXyi6voQfwFcoLE2VMJ+YmveRtaaGcqzfgd09/hv2fHgcFTUIGgb2Yt5rqFhgAX67ACnalC9v+7LXV2L67Bb0hd8aFW9rrIisMsYRyCAjZKMkb0DnAkmdpbxfMGY8f3HQ2fvL0x1iz83hERpPPkxImTi7B3o5uplzDzk0fH3GhZ3VhdWXS83n7q+9gyONNqWy0vq0FxEZVx/DU3999iOUgPHPvlRGKDB3fKQbY/XnSJnuOeL2FSDcwS9dNg/0ufNHZkPR5S+cg7vvxMrz061tQGpMTQHakqy9lReJEWzKlFlbj/z0F+pT9H1N0qDJtJm1WAhtUyZZe6cxgMOCPf/wje/072Dvtv4c92Jf20aNxr9DoYi8ud67CnLzFJwXuFcvRFaHcmMPKq5MXmqYBormQrrwz1Is3W76Hm6qeRL5+NLQqM3L1URnBYDiA9zueRL19Azs2tTNL44NLNCDARp3o0GEQgijQOhBgywgOQi2UzZZi/Ka/qfDRsN+A3oANze69eKN1L6ZkVcGqscERIrpA/L1A50+VdymqoVVJuHzUDHxjzBXsntnafwxvt23FMUcnU2mpsWrR4j0MCdHQoE4VRK7OEwH6dD7bB9fgktLUXnzKY7io+Ot49MCzCMOesY+pDX3+6DZdXjsG/LFqQwL63Rb0u83QspmFQq4Csgw+lndAVByitNi0GpxdPAPXVZ6OHJ0Fn3Xvi/SCyUpqOmbujmEl2+UEKyWjSQB+uvBsTCosxG0b/wyjKVntyM+46ukpVoGgBm+ciKluG/M8HhzqxrkfPwGrZSByPYvz1Bh0WOAPxs5AEqMtecIurG4/iiurOVDZM3QIb7d/EuHwU/XgpSWn45LSM1kF51RWZeG5JJmM2vLc4huxsDBzHkEma3T1yko14chpu316OYk9oa/MIlQaH8JdUYRGoJeUVbY0tWH5ZTeg3WnHoM+LYpMFhWYL1rc14+sb3oz0m8HqR5AVzUpttL+bJsYDvFgbV5CPPZ1drL2MlsMaHfPIxI7kcrXVTMCP2nXhWP7c69TqSFGulNuyxGs1VjefwO+2bYQ/h5J5Y55W6sJQ+kUFA8q0ezr9oACNW41DXSNLp9Iz9uAHq+BU+RDMjZU2kRAwhdEZdECfQTEs886BDq8DEwsL8aelF+GMF5+PfMTAq7JIGVlEhnm/hbCEv362FRuONjFQN7OqDNfOm4LJpcWYWVGKPR2djFamJAEnpEZhRmkpFoyqiDv3H677HK/W74u8F+s8J496IE9iakgKsFMUklLdW/WdvUz3/+rlbyQp4/R5PHhozadwBwL4yrRodPT82ePw99W72ciudcsqLmluKYrULX92G8IBESxNhtUAIH15CZLsNCD6iM4pwZ8FuMjHkiS3RMnRwJp9DRBUAlM+Sks3SZMcSRKUvK+UZCqwBGyvEagSLbjzrDm4YvEUxn3/5dcvxtGWXnyy5TCr8lpakIWliyYgqJJw3l9fRJCiU+nkamfHP6sfHz6OXlc6tTneNuq/2CRb2s+uxg58sPMwrpjHBQJ+/dYX8KWoJJ+4r7rSAvS53CzXguRMNW6uey8k3FuxI7/yO91bpJ2RbnRwewN47YMd+M4d8SwIhzeFtmeC0SWdUpm6oNq/nEmnZDJP2f+g9fna0OyO15fldWBTJ9+xLHeEUWUZN8J9SgWpol7aPl8jjji+AFENiQMfty3CEKUgtva/jovKHo77zBNy4L2OJ3DcyctbKzSXgKRBttrNPNGc0x9m4N6gDsEf1sBJ5RVZpdb0EpweUYsNg2MQTNDLr7c3s4WHWa2GURuKreEBV1CPTjfxdFUISyrcWX0RtCoNHj/0Pt5p3wYqbUOlonIMbjR5AkncQeL5E9+/yOBgbafzGQykBxYdnkHcte1ZpqZiJnpnxtwAAbk6S5xHP82WrACW0vsmbRCjsobhDWlgEsbhmGMQy1v3YFt/C84orIsATjKTxQeP04BgQE0HiFsAkXdrbkkFzqmsZZPrkooibB1IVmFKd28p5valB0jkpXcEJOhDGui13IOs04oozrOjZ9AGX0ALkyEAkynA8ivIHj++DDvs9ZiVX4xXW9+N0MvIhgJ2vNryAfYOHcaPJt6fEuRXmHMxJ68KuwabUybw0v5omwUFNTgy3IPXT+xmtCJSV7mgvA5LKybAcBJ0HaNaG+cd9AU0rEpuqmvO3jOEIZhFSO4okqb2vX/oMH52ztkot2axF1Wj/rzrCDoDw7ikrhYru3hIW2sgb75PpuokT7vfm7sYUwrTT4y3zJiOXR1ywRsKwVOhqAio5rrpElU2Ji835UMEM2s0Lh0zDnoNP5dzx9Zief3BtAl9lHh41NuHOz96l79BzjnFQefj1XlHVOygz4c1UMl8aIpSpbI1bSfwXP1ObOshGVeJVcpFol5AjPymXyQVLopSfcm4ugAY9fw+GfR44/dL5yNjLKJsMA56GiNv7tzSclz1+1cRCEU19Y909uLvG/fgp1efgyevvgi3vvw2Uyei02Z+kgTUtbuzE583NuLsGq5ksrLhaBy4RyqGjIraRpq7XCVI50y3wAKrBPyrLRsy6v7/essGXFU3ETY9p5NNqCzG6VOqseFAEzQeuTJvQs6P0h5rRxiin4/fFAALGWnRE8+OUn7q7OSYA3yxa3mZGkW+GBYdFDkIDaVhtrGxnnj0Me1h/PNU9Bm6RVUC1IU6XHnalEhF1/qjndi0vQFSIIQZo0tx5qJxMBp08PgCGA0rGiTZgRN7rQDcv2AuJhTHU1io0m+k4nGai0DXPdHVQsEDUuAhgH+4tQevr98bV9063b5uPXMmLpzJqwPf8czb2HmkDSoHp+Eq28jpVgk5ICe3aH1v9X6YbQZcesZktvAhK88ZOWeG9l+elz3yAU7Z/9tJtv+J1uY5Eve3ohFP+vFKQipxpbk3nA9URB2ZmZOsCBQQHWi0v4IW59sIiANQCyZUWC9BTdatOORYQ+mrBOVTtoOg7lHHBpxf8iA0Kh0G/R1Y2/MSjji2IJgSEArwSAaoRZKP1KPaPAHNnkMYCHpZAi3JzxHAMDDARh785EHuoLOUgXvO244aDeaEK4aCRnR5tDDKqjruoA7BGElNAUFs6P0AnpAbq3tokWRk4F6jEmHTpaN1kHY+mKZ9rs7LPPhmdZTelWgvntgArxhk3yEPOxVUSgfyCYifE5MLUGy0ocKUg3bPUAYKn4AsvQ+imIMWhw4qYTAC6Glx8WrzRsSKGRAtNr/YjuEBM7zuaIyYJpLrxk/BD+YviXDcxXBqVQ1eeyC1B5/6Pbr4SGcSvAFtBOAri6+8LDfsbgPMpmTPLynSfNJ8FFopG1pNGNk2N1sY8L1JOOhowEdd63BpWeo8me9PuRg3b3wG7pA/bsFD501g7r+nX4EnD67HHw9tiHjh6Vn5oquBvff3M25ispmZbHFhHX57mFdspWJZLCKRAaOyhac1GAfwycgb6gkEYDMY8HHHQfx034cYDngjyjkyhmSmNwYQdGkhUuXfmGPdNnkqvjo9Wd871i4YNxafN5zAe4cPQ/DHS0CSsd/pfbrUliAk6u9gsk47/WXV6/Hw4tMi790+ewbeqT/EIn2J9y4BEMlMhc1ivJOxuyTJUs1JIIbYrwkCppckU3Se2LMJv9uzKR4oKVSkVA8VUwWSIARoBEpReTeDNgC9XZuby7zW65ubecK6ckpWQGuXoKLibZIAjUtiybqJ+6N22vR61NeTd16Mo/Mqi6UfvvUp3vj6Dfj2eYtwz9vvc/qIn4NzBvRZPjJJmwr42icfwmbQoSo7F+3D9rTtT+oOSjxPU/NC6Ya5NeX45Z4NGenFBP4/PH4MN0yKViJ97M4L8bNXPsMnO45C7+BJprKCMrMp5cWYYMjF6gP7uUNUBThLVTBHC5ymbL+xX+KcdiVSEuI0mrjtaGhJVedP5tFThID5liJhjfQLTbo3GvoHsae9C9VZ2XjksXdx4Egn1GrugiDJ1SefW4NHH7wImxvb0NvmgElFCdnR89X4AZ0bWLX6EO5fMi8y9pI8rT8Y+oeo23SbtA3whcQ7m+ozC9bFmCaGgvy7Gy/C119agV1N7dAGqHo2j/iyYlrJQRKl/lXmdoUlvPzhdrz0wXbcc9VC3H7JXJTlZmFOdQU7Trq6GDlmIxaP+8dUm/7pFk4zPowgQ/vvZKcA/j/RUmWnm4QAcnRuGFXBqOda1GOQ3EaCGXdVfwc6VTyfzS8OYFPHrfCE2iOlo0TJgyb7W2h0rIJGe/qIbZEgIhD2wB7sxQuNDyIQ9o4UGIQIFfqCQVBZGi16kKvWwcvIuALj3hcbKplEZ6IRzabbT6v/9KMXKwwiCRj2x/NYCXRMz2nFBFs32tzb2XuXlQHdPis299cwjfSMMv20OAnpkaP1IiyEMT1nUer+IBWHjr0RQOkPqZk6TKp90yRyVtF0jLGWxbRfwB1j5+PHe1MXuSIwUGKy4IeTLsM3d74NCaHIsWhhR4sJnqzJRPKj+1VLyC10QQy5EQhQToaES0bX4M4x0+ISS6ss5dg1xKUeY42Sd0MxFXPjT/rkZhOqUht3/lRIVyPCYvZDSlAZ8nm0sA+Y5fd5Wzp6cpCb7UJFyQAHjJDw0olV+OOmVhSZzbh67GRcWD2OUUX4ueTjjcX34C/H1uLjjgNMkpKm4TOKxuOr45bgyFA/A/JkEYqNfKwujx13rH8Dq86/h12TdFZqysH5pdPwSec+uBk3fqSITVTeMZGecXSoHy648eCOt2LyD7nrTCl0GQ6o4GwnQnA0aV7eM17evR9T88pweR2vsJrK6Fx+s/QCaLQqvH3kUOo20n4p2hMSgawg4NRy0B/BpgLMBi3evvo6Vj1VsTH5eXjqikvwtfc+ZFxiJQ+DJnHSJO8XGCk9tdH7oWhibVpTFFcYdU6FqyfF1yzY0dPOwD1ZHHiIdf+mAfkzyktwtKcf9pjq5CMZ7erC2rG46vU3cLy/P67l5KkmBRbdsMQiDhofAX2JgVuFYkPX48zqaozWZuG11r1plVyo93/8+mdo7xuG2Suwe4hAYzBLlgylf8yzS9EIkk0OYcDrjSb9noTRPaj18UKAUopxJ9tkZB5qaU/m/RBg7XbHj99GnRaP3XEh7r90Idbvb4QvEERFYQ5qKvIYzzrfYsZDP3sncv7uQh4Fy7C24v0iUrE13p9Ul4F+T3YrcXZi4jBFfW816eEI+AFvmBcUO8miTiSr+tSTn+PoiZ6I4otiXl8Aj/ziPQTztSxqRW3U26PBKsV6hpzYfLAZFcU5eGbNdny09wh8al4ZOm0T6HIqFJoEyzLxMEVzz6BcW2VkoyrGO5vbMTo/h12Dl+69GruaOvDJgeMsTyZHb8CbH8gJsbHGxrGR989q8cnX9Km3N6Eo14oLF03AI5ecgRv+8gYbJ2IjfjyNQcBPrjgH2n/R/MdEO6Wic8r+R220OT6JSYMQsmh0iwEX9NOi9sOiDmJSzjWoMkf58YrV9/8KnlBHBNx7wlq0+vPQH7KxaVaFI9CrNDCro5QZJfkzcmxBD73agvfbf8fAPd/Xyc0oTa4N0Kloog6wn4rZAw0p14wkmTnSvlm+AY/Pxtn8/BMYY+lLAl+FeicuKKnHpoGRedg8aqDCGMtE1JhTgyiiVvjCUW80yUtSFIEiCrG0I5pErqxYhHtrudJQrF1XNRMNjj78vXFHjGeZ932R0YYXF92CzX2H2bEUhoJZ64dVT/SiaD/4RTU8ofg+U2skGDVUSEzEHsdePLCnHj+bfD/qbNXo8znRbA/ISbLxbaLtfYKYpKLD9qkSoKFw+giTCsshSGGUABzLTPL7NBjuj+UzRI83OGxhHVFZxl17ktqHE/Z+NNoHsamjFc/X78IrF16NLJkeUG7OxWPTr8QPJl/MVHVsWgMsWgNbiH1z8/tp8R71wQlnPzb2NOK04mjhllT2yKTLWZTg3SOtUGl5Amim2gXJBa0khDQirv7gNWQXpuKwCwiG1NBpRHj7CR3G90msPbruc1wwZkxGehEBm2b7cNpzV9oEnxoguo6NatbTzU1RNqJOSHCpg6jMTo5unFFThc3338U8+fs6uxnYW1xViTVdJ7Di2JH0x1NIv5Rmok4D8mVwTzUEaPHw83PPwbIjB7C9s51tP7+sAjsG2uJyIlLuI41V5mbhgqqx+PGGNSm3SxXFuHjseLx/8AhODAwkfYVtTd7bLK4iQ7CZuN06P1BZnIsHL1yEqWUlKDCbcctflmVW8PEBx1v7ooBVFKCzS9C6AHeJBEnJR49pYsak4YR20pb5HgMcPl8cv19JUM01m/DcLVewhdpIRomy+cZ4B4tiZflZuP7M6anboYxdNNYXCbL2/MjnoKftRqjlV1qWhaEBDzyyQg85AS6dOQETRhXhRx+s5hEWH4+CpK5eFW9dXcM4fLw7AyVbQnjYT6oQafdBz8ba+kZ8uOxIBOjSYoAl4qZVuOEUpESj63TxLE61sRkNPBKlTMXp8h20Kjz4zqrI98+qq8H3L1yCWdXl7MXPRcKePa1o6OiPX3xS8rOeL6rSNZU9rgmn//z7W3HBwjqMKc7H6/dfj998tB4bjzZHrvKEsiJ887yFmD/m5HMFT9n/vp3y4P8TjZJfx1nn4JhzJ/Ogk6pMuoRUSQpj+8Bz2DFcj/tr/wtmjSXive9yfxoB9+Tt3+cZFce1puRSm9rHvaUKp12RaWNbqTE5+zy4Q0NodEdX+VzYbiRZQ655n8qoOJNaojOLV32J1bFPZ/TdIqMLgz4z497z/nJjrDVZKo2q7J5w56PLR5xnkuYDjJoQdJTdlabNU7Lm4LpRX02r8atTaVgVU0fQyzzqDNirwsyj7pUrylJBrcvL5+FrYy9Jcw4CfjjtAlxUMQlvNO3CcUcfrFo9LiyfiIsrJjO99h1HmuAlvrfs+fYGdRjyhpFj9MBm4IorerYw87N+iF1akJefCp1R70vhIH5x6Dn8bNK3cNumFzAUcMOoNSHf7ImLOtBPm84PvVCAHh9pckf3uLBgHHKLyvD80e1pqtLy90z61J5Rh9MAiyUAtezZdg2nQCsx7R+0W1BcYIdex7m67CUf42B/Dx7Z8Cn+fHZ831Kf0UuxQb8Hxxyp5fMirZaAd5sOjAjwDWotNDCyCAVp1NP1TmdM7pU84sox2GqAkh3DEDRhBJA6SZX2TQufkBwlSGekgf7piQZcMo5P9olW39+DL1qacKi/bwToRGA7lkdCblg5EkURhbCKUTG0MdV6FSOa0W2zonrpf6nfjPebKQH7JDQONdEkTwV4Kj8pYpGjMeC8CWMYd/nh9Z+xgl0KkF3b0sh+Ul+mBWkZPPi0+PvxpjV8m9jhiy3K4hOOLVodbp82AzdOmopFTz/NaH7peNsEmH25Eqc6UN9pgceuORfTZfWhkQoRkY5+2gWHKEHnBJhY1z9olJCqtwtwBnz81INy/gAJFuk0+M55i3HF9InQk3Yt0XRKy7GjqyN+ASEnpqp9AotWHG3oxaH8Xowtysfqww1YvrMencMOFFotuGzGBFwweSx0Gg38gRC+2HQUazceQVMrX7QzdRyNgJBZghCVr09pTKgqAyCnaxYyAwVlVrz31ZtxqL2HtXt8aQEDwm5/AH9YvYlVsJVOsroTOTRcLS5Gy4n13Me1K6xc7/Srfcrl+uxIA0twVfqSttR4ZJ38mHZEqj/75fshoT1EablmAadEnTtzLE8wDkVlSWNboFw1L4058iKAxu01R05gf1s33rz3enad2PcEAQ9cfRq+/od34vM2NERBE+Cn0iZUJTcoQW+XoB+WoyVyboei56BYW88we40qzkFtUR6euv1y9Dlc6Bp2IttsxKh/R969dCrJ9pT9D9tl5Q/g5aYfos93LG1CKhmNLWZ1ACe8x/Cnhl/j3upvIUuXA4e/Ae1+G/oDFsavdkhGhNlAxB9HvRBENsU7Y/bDfsovWgiYNNmYm3cdBgId8cfkd33cX/Gfq2AQqCR4+nZrhBCKDNPR6a1nCwmazGwaP6tuS7kGmcyi9SNL50OTI4+B21oLyffFV3zv9tmwZbCKTdlRPr+EYFADYzgIszYeaNHxF+TNwK1Vd2c8Ng2Il5fPxHudnyFX74FeTVQFyg8QWKGoIb8Bdr8JV4+ah5Fsel4FeyVas6sfqztPMF36WCOw3++xsGNlG32cAqMOwwaKKnBFcZ06FJHbJKOBfSjowIM7X8dQgKrnSnAFDKxCbpbBC4OG2k94R4c7ay7BhaWLmCzkvqEmdoVJlanUmAtvKIgdfW04MNiVAPL577kWN8sFiDWWSBcW4PXpmNqFzUp5BQKCgZGTW4ccZhTl2THskCvGRPpAwkeNR1lV1hKLFb2+QewbbmCT6XjraFSaeQJqWg9vgh3oT+2li7WDQx1Y2X4AWgNx2inxTtZuT+St0pt+FSR3DCIhPXOSfSRANQL2DYdGrgVAVIp2hyO5v3xe3P/pCmzuJA+3ACk0kjSiXPgqjRUZLazOwUi2oasJj+9bJyd3jxTZkxiQMWo1uHXyDGxobUGv28Wu43UTJ+PycRNYQm+LfRjnvP4i4ywn32lykSxFV/8kjdR9Ouxyv6XieBC2pV0GgXNG1+KJiy5keRMkPclUUpTviFQkSIgrisTapeI8b2UhatTG993M6jIcaOtOyf9XkkxTGXuq6Xb6ElSciJHHOAQY+uKVi9iVoscjTHz6EDoHHBFwT/a9BYtxzTvL5F1wnrZukGQslXsKWLHnMN7ddQiFVjN6nfTsc4DaMjCMbU1teHnzbjx+2fn44X+/h7bOIZ6wKi9yAjYOshlPX8c58uk8xP5sAaKOirulKirF+ySYK6AmNxcmnTbimSbbur8ZP332EwRcHoDqHWo4hYoNDex+TTa6P6+ePhk44o20N52xPWRYLND6mRYWSccQZbUhqhugIceIFhNKCnFR3Ti8sXo3mtw8+qbsvrooD7+/7SLkWnjU5MxptagtzcMR5wB8Fr4vWhgoAJ1VSaZAqAYwDEQXnaJGQr/bjafWbcePLjoz0p55k0bj8fsvwWMvr8agw8MWDT5WCiGK3tkiNk9AwAJY2nkiNbVdnRStJMW1+DyvApuFvU7Zv66d8uD/k82otuCO6l/j8+4/4bgjWmY7nWmFIFo8jfh+/ddQoh+D4y4vBgJTYxLiBFg0PlY8ijzPNopXZuATE+S+ZtSvYNHmwRWK17Rlet1SOMYDHzt5qGBUm5GlypA9Je9jUvZ5WFL8HRxzrIFPtMOmLUGRJQvPNvKwYrJJMGsCEQBbbnHiyJCWVd+NNQLaBO6TlWH471Q3gCrCkgecjJJqjWoDrht1RdIRw1IYftEPnVoHtaxAZNF5UGq2871HFkYSk7XUqUXUWIpRbU0uAHKy9sThNbLHL/XFGfSaYNX7mSIN42mrgzBn8HKJYS2OOuJdZb6QFj4XlzNVJoaJtgnsHIsM2Ti3JD7MTjz+V06/Gc8d24pXGrZj0M8nLqM2mKSprxj1DXnjqYe9Xh0D+FKGJL/I9xjnlYPd3oF4jWXIbd3QcQIN4h5s7Ce50OhEPDmrFv81/mbkG7KgEzTwh/kCJuVxBKDNkb54GtkHbfvxyO732KKKRSDkKAQp6RDQj6VMSaIA9Qk9NH55YhQBbyUH92ybTAmO4ZMD+IxOYTQmUSZuXfk2Dvb3RrnpKonRPDIa0XNSGAGpW8bPzFipUrHnjmxnC4oQVan1pl/0s/vMKOKMshr8ZN45qLBl47vzF6fc58sH9rJzSgev2P0aotVtii0S3uLivxIeX3wBfvDF55lPhjydagmBgMjA/WXLX0WTfSj+dGiNp6eEXQJqciRCjjAREFfUYy5442VMKyrB/bPn4uyqGlwzbwpeXLcr+ZBfbp2S2SLhEN4JBO6tjQT2EtysCffT29sP4FvnLWIgnWx6cSlevuRKfG/NJ2hzOKAbJoCtdJEQF5EgcK/sJ/bnsa4+fPWR1xBw8LGZyVxHQjbyL4IAVwVgayG0r+w/ehpBM+CXa25RzQF1IJ4CSX3tKSJAK+H6ydGEX7K9Rzvw7d+9y73iEmBto/3x/Ah6DElaM6yXvfmyl5yem0U1lbh21mRsth9LHw2SzWTWwZ0mSk37Ky/JQpNjOHVAKSyrAamBW+dPw6zRZfjN8nVo7huOiajzXxaNq8So/Kjnu7GtH2ePqUbjlkGEKCpIH9FYROxBGkJU8ZKbRLNhURuqMaCT8O6eg3jo/NOhi1FqOGN6LRZNqcbG/Y34rxUfQwhGqwvzBvPrTve+u1SAYYjXC0g0vU4TUdP5jzHplAf/lP0vmEalRZV5Ko47VsjvpJ8KFBY3FUnaNtgfAfWxajSukB7tnhxUm/tGpMMQtafPdwJ5+lEoMlQhW1uM4WDU28nmAtLalpVx6FgaQYdpOWdiVs6Z+LDtzhHPL88wDjn6UZhbcBubAF5p/hQvN3/KBm/Gs08wilTk6KIeEZ06gGy9T5bUjFqzJ3cE2UcJPpJ0lEeoKnMF7qu9FYWGaIVIZ9CFD7tW4Yve9fCIRMdRY27ubFxYfB7W9lEb4xdHyu+k9O8QmzEccCJbl16JJ50R9Wd11+E0VJiouQJ6ppU/0nZk/ozAkXujyY46ulFtTa8vTyBfR1EWcweMJgK3EquC22+3QKv2Mg++ErEmfiiBe5eHc+WZ15twJ6NHZY6R06c6bQhNbQXweFNFcyR8NPgR+oK9SemCB+2NeHDvH/DnGd9FsT4bLd7UHADFkSqGgLcbDuD1Y/vQ4bIj32DGVWMm46raSTg03ImHdlFxNbmnYhktRMsKCwj6ue+DgftBNTSueEUatUeASBKFbBsVxICK8fhjFwZBux6imzIoo9SVTImS59VEqz8Oej347Y5N2N/HkwGjB06mnUR7T4JAi2RDikUZgLqsItxRNwsnY9t6WiM5HZJZZFVqk+U9qeES1KYQtjoaoNOen3GfpKOfWc5SYHQ7KQHgM/qJoIJZq4XD72d/LyqvxP1T52FeySg8vOazzCcj4+AckxG/3baRg/sU27C8aJ0EiSV88gUE47UnMJT293bjrg/fw6OnLcFtU2fgF9edj4ff+Jj1lQKQY6OOkd6KAZYKpYPWjBktJOcBaGhhBxj7JJi7AHeR6qSKb1E1XaK0KDa/fBS+uPlOrDh4GI+8/smI+1DaS0CSqDyCKKHHTNFEAXqnFNV1J5UZWgjKSTkEsu01vO2Uc0BtpyRUXzYVv4oKTohmAb5iep5I059z6SliQgD27lmzUFdQgBN9A3h9937sau1Ee/cQgjmAdph7zGkvpGxDL6W5rlIJYR2/6CTt6NaF8HlPEz5/rQkWUYOsDPcgefpvuHQOBtVBvPLZLr5AoIgJRTLCEsaVF+D8xRPwyw++SNlVzAMup089tWUHsGUHO3fC3NRetp18/Be/2AW1RsXkWj9dWY/OjmF2HF1YYom9xJW3V1MEKfkmUTjyPK+Dg3yiDNm9PhRY43lfGrUKAZ0Ed4ZaF3TzUtXmVPCB2nTxaRNhMmSW3v23M+kUwD9l/8MWlkTUD7+HfYNvRyYBeuATk2DJqEiVRybjOYKGlNtwE1giK6uQOuIzKGAw0IUubzuydbk4o+hmvNf+eNwW1C4S66T7f0bOBTin5E5oZSWfCtM8tHt2sByCuLaGVWjx5MMrlSHc1oBFBTrU2SrwYecWvNTMJxKCJGZVkNFfiJZCVB/yjpPXPdEIaDV78jDWGtWtJ1rSSOcWlFSsmNbl5Wfg3trL4j61B+34ycFfYMA/GNH4FyURWwe2Y9vgDggZBIJpPqLchk39e7G0lHsoQ+EQAuEADGrDiBVaB3zuk0qe41VUefSB8gJ84UyVXU+OrkL7Ue6znYNNWN1VD1fIh0pzPi4tn4m9gy14o/0jTulRqu6G1BiymxmVhrTu1eow8757fPo4VR2DRs08vaQ6YTAF4PNkTqju6M5JUt5RzGrxoSeYOkJE16vfP4yPujbh3NLxeObYpoiqTSyoZtv6NCwM/51NK/msGxTQ3e9Gfcca/HTTGpQXayIALtFYFEstkcQ8wj4VtP0aaPs41Sxuu4SuD7p00OdwLjRhvECfEWFStFG+p3jv0vTLPTPnIMdI+QAS/rp3O363Y1NqrXhFGpJ08GNyGFj7NBIkK79fIjBcXpgtKq7C306/6qRqBET2p/xO+7WEAL8aPNVARsx6EWozL2dKSkfLGvfgGxOj8puJRtSc1AeTAEpyJrlIFg1RCCP8I52gRr7egk6Xk0USK23ZOG/UWMwp5jS46UUl2NzRGskzivgA+Bs8N0AUcOH4Mfjq5ysynTTvU8onoPNUOP0JF015jn+24QucW12LpdPHo6YoD69u3BMpdDVlVDG272tBQAxz72usX0JJOvYLGJ+bh+NDA6kXPhJgGhBg6AbMvfH3ggIWMxmBU0MCpYh9VxDgdPB8n5PJ52VedvIUK/eFSqbhmNQw9oeh9fGd6IclJtHIox3kiReYFKYvX4g779jh/ub509DSO4Rt21u4p5qu/LAA/YAG4+fmYtnu/Xh05eeszZE+ypHgzQbMnYA2mSnDchsYF57Gm9ZhtlgQsvh1dalDQK0KWcfDET38SL+oBIytLsK1l86CQa/FRfMm4N2NB9DWOwybyYBzZ43FoslVGHJ78fjKdUn5Fwzcp/Bb0PUnag0lVidet2dXb4epT2L8fDZ2hKOuO6Ln5ByTMFhHi4bMjhO6XwWNAIs+NQA43NnLnAjp6k/wDhAgajlNh+liUBuCQJXNhnuvXJj+e6fsX9ZOUXT+yeD+444fotm9NSlGyGUi4z2gfSTILP/tTlBVSTYJg0EzRiOFdyphu/c73oEnvJJp5c/ImYfTC2/Dpr7XEJIC7D0lgXdO3iU4q/grUMUU0VpU9F9Y0XYvPCFSn5A13L1ZWNc/lhXEIiWMPcNf4OXmNZiaXYVuXzwXmug/1rS69THbhVUYDpvQ5M7FaNMgm4yiPukMZ0dJsWEN3mnbjltGXwCTJjrivtbyZhy4V4z9LS/mR5JK7PX3YOvANixvewvDQa7uQ302LWc2bqm8BSZN6qy5bJ1xpMgwM4vWh2ydmxXpOqNgCT7q2pxyO1oATM0tx3qvm9FVMoH72fmj4Qx68cDOv2PvUIsM3vi99vTxtbARCFDHn7vdzekiBMbd3jTVZgDcPWEubh4/Det6D2Jrz1GsqO9FgHSYE7jB9M60glIc6OuOJDbGGi0SaoolVochXfSCJv9PurfiJ3XfwNP12yGpqcIsASjZkx5SIUy67CxDLIYjQZVfCWR5BOaR7w+NVKWYgwRVgz4l150lABpl4CabGFLBP2TAtNE5qO/uQziQMLTGLEJi8Sepgtw7cw6+MXc++/yF+t349TYuAZrWWNEckoeVKxzrwtzrraFz5kuX2MOeWTIGzy65Gl/G5hWNwvquxgioYkOAKar1TlEeihYo9wyNXVt7mzMC/BnFpeg5cSwGzHJ6Dy0UIl0kAFaNDlXmQuRqTXB4A9jV3YmuYJRy1eoYxg82rGae9F+dfh5unzKTKTGx+4AWfbGXjJ7rEDAtrwTjCgsQzARwIp0mYUx+PnoDLgz5U0ifxNiygwfwrXkLWfLnz645N/I+gcCzDz8NSRnqEhiFdO+U5Frx7EWX4fr33kKbg1MDqWeUOgDnjq7BlFEFeP+L/fD1uuKOq3OE4cvLpPQi4NxJY+LoGomLrXSL3LiuIM99hMYT+wFfHXjzVdB0inIlXcDWHIa9Jibkl5DwrKRvWQ063H36HOQKBry1Ym9k38rzRkm8jy77DD6ZERkvncp7yl1Kx0sGzbGLb9qf2iexfAAqrMVAfpkAUa/CmAEzBrr4fWUx63HZ+dNwy9XzGLinZyvgD2L+uEpcOn8ixlYURKIO+VYzrpg9CW9vr48sENjaJZ1zTb6wFLlQIg2KaRlFKf3XIEdt3GWxYeX4hF0lZ+Csuloma5rK6D6IXcykNJHyKJSd8uOF1BIagg4mv3nVvHgVwH97C6eBVKd08E/ZP2KH7CvR7N6S9H5sIqwC8nuDVgzJKflcbWTkkCwVnSJVGa2QukATxwNCJCpAbPvdQ1tw1GnFA2OeRKfvIOyBXpg0Noy3LYRNG6W2KGbWFuKyUc+hfmgZjtg/QKdPxOd94yPFuWKTIA8Mk4wWabxHz9EbogqifGpJB6ZJJpLOg2zn0Gj4w1rUWnpRoHehi+qcpzHeT9xI8nJT/yGcU8w5586gk3npE8F9rJ1MkZEjjgPY3M9zJyLgBiJ2DW5F/fB+TM+ZA5foRrY2CwvzF6DGXM0mhhy9GQsLa7C5rzGjJ7/AxCsGa1RBHHBswAXF87GqezvjHHPgy+8PlSCizpaHAs1YvN5EEZUU5wPg+qo5TB3o9i1/w76hNt5PUU0F9ttwMAAzuJyjYn5KmD2JFcnt42dTKjBWdn+Gbt8AKkep0dOXBYeTFgi8g8bm5OPBWYtY5d0bPlyGgwO9cZxcstFZOSjLktDoZhp7ac0edKHCmoVfLDgfD236mDLMUng/Y0Ce8lNDqJ1m2ZPLFeC7SBUal+AZFYKki+VGc1fJrKJRWLbkelz29qs4IPQke0eV51wAqrJy8NVZc3FOdU2kcqgvFMIvtq4bsX2RfdFEr5GTfZU3I+pE0Q1bnPG5Nidjd9TNwdrOE8mHVTqHfk9I5h1Jh/zWydPwYcPR6PZG4p9EaU2KuUMBHHJ04PtTz8GPN3AqRKqk3DeP1uOC6rE4q7Iai0aNwobu5tQH1kq4Y8GMk9bnLjFZ8d6NN6DuqSczbkf9fHwo9f369o4DCMgyuZHFHVXT1spe7CDQOeTE4JAXH19/K947egjvHT2MYb8PNdm5uG7iFJw2qpKNHa5gACsbd8btn/jXWmdY5uHHdyB5u0nKcXpNGX65Zj17b2Z5KZbUVjMvLtnEsqIRI4oKRSniuU80GeQHTAL0LtmL75CQdVyEvZqqb8ubyV57KUZVhrzflLD8x7c2pTguB8vk3yJFmcTquZFjQ2KAlHjjcd9PmCrZbBOWoLUDgTx5HsoXMFitwYor7kMgKCIvxwyNvBj6YncD/rBsHTr6oo6A2vJ8fOfGJZg5jkeNHr70DDi8fnyy/xhbTIVofMlksioT8z3EbEq0pkzERnqfZEfdSskVOQrClH5i3qIA8l2LZjEQnyrHRuOkIpoZ2kjXSMmFSOCo0rs/fWs1W8ROGpW+2vYpA37xi1/gkUcewQMPPIA//OEPKbvktttuw0svvZT0/oQJE3DwIKmWAS+++CJuv/32pG28Xi8MVAb6JO2UB/+faAeG3oknYqYwT1iPdn8ORDY68u1IGECdRss81khG0SEakKdxJztQ5EP2B6JRATICvO6QEys6l2GirQAtrg0IST50e/Zgau4lGGWanjRgGDU5mF1wL3v9YP/LEIRDnASYYEoFVc4WVjwdAgb8RhQY4uUcETOJ9HvJCy5Ett9vL8dhRwnydM6Mvcc5sNEqwMMB7vWiQe+L3mgRq3/UKHw6EGiO4+nTOZAqDl0bfziA9f0bIx72Nb1fYHbOLNxbcxc0Kg2+UXcWtvc3MzpDspdaQrHZwZJ5FfOJPhx17cR9tZfjuca35CJYEtO2p1yLjf2bkK3Nwdml0/BZ5xEWPaHkYaIL0bmeXzYZD9SdjW39DRFwn9oktvAivfvY5OKRjAoWZesN+Oaev6DXx2dZjVZEWekgikUBgaCG0a9urp2Ic0dzfvnyS2/AO8cP4Y3D+9DldqHQZMa14yfjyrGT8MTxV9Hs7ky7CKOm5et5Utq1Y6dgtC2HefLXtTex8+X0jBgXeaLpw5AC3IsvpChaFWtqv4aF7OOKuagAT7kYpcElLCK29bTjnYaD6HXx5y/dSTChEwG4sm5i3EfPH96OYBr5vtS7ooI/GtjJRZ14kBhLBHJUUGlTZwvsAR9GWbMxo6A06RlfWDwaD01fgl/uWRtfWVa+LyjnIvYrtACdX5i5guXs0nJ8c/Z8/GHHFp7XkQLcK0eg1x93b0k4dvxGRJx66cAezC8dhX2DXakPKu//W2s/QpbHyP9OBRhjttcLagbERqI0UNSV8gJSeceX7T0Av1UGpwRojWGIVjmSRN/1Afo+Fd7dVo8fXXM2bpg0lb1SmTXLgJAxvhgU/bS2h+EqVSGQxYG2SkXPv4RskwGCVY0fr1kbAfTPbd/Fipv97apLUVdUgDlV5Ridl422QXvK/qVniUA2SVUSJ97Yk165idRwlPuCMeLMTIg/SpGSwX3svUi69v/94VpQ4fJYEELUEBa4losys+JQrMZCaqDPfGAJAJ885YmmePIZs1ReeHQ4HMjOMsXd+6t3HMPDf+UVrmPtREc/7v/NcvzlO1dhxrhyJhX625uW4o72WVi55wg2tLSwxV7GRZOQDPCV4m+ZjDFHleh+mBffSggIIcupxl3/9Sp0WjXOXTgeN108B5WlPJP5lXe24aVXN0NToWLXM9VDx/qZHSJ1a2gsfHXDXvzixsx5Nv9OJtBiKFVF3pOsQ5FoO3bswNNPP40pU+ITwxPtiSeewC9/+cvI36FQCFOnTsXVV8dHWW02G44ejTpEyL4MuCcb2S18yv5HjHTthwKtGcE9PVsalS4O3CuQ3kp1sjMayVF64RG16A5Y4U9IUKWE1Z6ADe4UJEECVPvtu7B7gPTUm+AI9qDRtQ3vtD6EL3r+mja0R6BqQ9+hEYCzlCQL6Qoa0Oc1c8AaY/n6Any99psoMVYmcdqp/b3+XOgEI3QqCqGmSKwkqcPIwkBiqjE9Xjtu3PRX/KI+edBO2do0l0dZjNC8pXBXqUKvI2SAWzTAF9bBH9YwDj2PlPA+2Tm0C2+0vcV+n5hdimcX3IJSU7xmMPnmSy12VNjiPa10Do6QA++0vw2TJsQ08M2aILQqDozoGMPBIYzP8eGN0+7GNaNn4aySOlxdOYv9/euZVzG98+dPrB3BFU9eNa4eoxjx7uWPUs5A5LU6o7wGR50tOOZqTQLlxGM3GoKsGvD7nRtYcS8y4oDfUDcVK664BTtuvg8rr7wVt0ycAbNWhzMLZ2eMsJBdWLIg8vvc4go8d/aVOH7rg7h14nQO2tOtgYlSQomKhjBC7vj7J9HI0/v3K2/COZPHsPOE7HmcNL6EJaJlwO74y/5tyBlhEKbtslNss6bjGE7WCPhOzC/EmaOr2e/pt1NhXjEvPkPP8YuHdmP263/B7Z8txzfXrcQVH76KM995Dtu6kxeA90yYh/fPvw2XV01iXm223CaFJ02YeQwlKu7j1iA0pENwSIf6tkFGp8lk35yzAC9cdAVGF1gzAhsCSgMebzL4JE+jV4DaoYLgUGHjwVbc/vZyODyZx8egIGIo6IVKruyb8iLSMx4AWsVB3LV2OePXZ+pbaltsYjSZ0+/Hta8tQ3PAwfjYYZ2EQIEI0RYF9+w09IC3IozNGRfe3BaMrYQnX53UbAJk1o4wso+HYPapcd9Z8/Dr6y6AmCWg18e5ILRAURYpvS4Xbn79LfS53AzU/v6Gi2DS6+LOkddK4Tx6Bp7JaWIEAhkEVGLSHRA0Ap7i6ImOVAKFCrZLseA+puC5EPuSgX78gaNuCOUn818lZjhH2inE0XkoghAL7kMhEb/++5qU3+XSwGE8/uqauPlwQnkR/uvi03Ht3KkjU2Bk/0PMn3zhkvkrrF9IwlXj4tGK2HNg36Uqy0OcR0XRiFXrD+G2h1/BgWOd6B1w4pnXuNPJ0hGOFtuKFCKRcUYwMz+VHB2bj7XgP8okKf3rS5rL5cKNN96IZ555Bjk5ORm3zcrKQnFxceS1c+dODA0NJXns6d6M3Y5eX9ZOAfx/mhGtInPAhBLIJmfNxrXlt7ALE+uwsGl9jHqTbjggqcywoIJf0sEVNqLNn4tmXy6KTOdhlPkKdPnzWXQg49HJ+6P2MC17SqKl+3zH4Ap82PEHHHfuZgmpsRYMU7Js8gheZhjChQX7cWvZJtxQug2zs1pgSKjywZR/3DnwhUpxZ9XdeGj89/HYpF9hSvZU/Hb63ZicNTriGSSQQlZizMGfZn0df5rxdVi0apYIzKk+pDKkgHvePzaNCdNyanH3tudw3NnNwDh3xqZ/eOl8c3QcfCvPeOQnmzdkupQEuEUO6JMTo9VM8SiyT0hY2/sF3CE+4c7Mq8THZ38DLyy8Fd+ddBZqcvowvbgd5TZ7yvGVJqWA5EvLlSVAvGVgK6osOXhk8lL8fvZ1+P6UpZiYrcR0gQZnGu9m4vmzgRzw+Cm5Vw29KQitPsgVcmI943K+yF0T5mC/vYFLemYwV8iDVk96XfoetxPf3/Qpbv3wEzhdVK02eRuKiFSaSnBecXIdAhoIHYF0fSRBUIeh0hIwlaCyiiyRjLz4icdRdHL+e/qlmFpWht/cuBSbfvxVfPTd27Hxx/di6qQSVo01U/812Adwbk3tCNkyEprDjfjNoQ9YsrNizrAnw7di2ikAt06agTcuuRaXVU3MGHqniM4tY3nxqmfqd+DRrauZ5z7WmuyDuPHjZdjdmwzOp+SV4PH5F2Hz5V/Do7PPhkpN9DEVpKAAcUgPyasGRBXrz8+aTuDKd17DH3akzhtRbEllFS6oHRvxLkf6RZYkDQdU7MU9rTHnRtQEUjMKxOu/72jthMau4YnHmYwW6KIAlU8Jv8W8FL55gBRcwtjY3YzJpYXs3kq1VwLF4/Ly2bnE2sOrPsPBblkYQIjWSkimmPAfR9T96PcmELMTbOqoEtSNK4F7lDqpwiityf1ZKjxw1Wn46lnz0BfwoN/N62IkGr3n9Afwxt797O9xxQV452s3YVZtOVOvYc+PrPvPgHbM5aG/Uz5fRAfySUyj3VOogqOS5GLkJOyTkfgneVISmqKxU0lfSjkOKp7s2JOXGFWJzGjUwmejRUnmIyr0Hbp+l44bH/fZ1oMtGHKmfwapSxva+3G8LVnB64KJYxktKv2XOd0oUkxKfpsoVplaTJ+xJGV6HILJ3yfaD2lPCAlgPBAS8YMnPsDKNQciHxJNinIkLK0ir6bsJD19CbYTYvLiKeX5/2Oe7X9XczgccS+/P70T4f7778fSpUtx9tlnf+njPPfcc+x7lZWVSYsGeq+8vBwXXXQR9uzZ86X3fQrg/5OMJooqy0JW/CmdEV+dtjmt4BxcXnYDNGxBQLBfzcbMYqMT2VpPHH2CqspSUma2jgam+MBdUNJg48AeuETAHxbgD6vZK9FzHtmXLG9gEXwIhFVwhA1sUbBr+Au82vIT/P7oV3DYEc0h0Ku0yI2TjJRwWu4xXFuyE2PNvcjTeVCkc2JBdgNuLNmGPJIRkI3gOdFWHq67C/PyFqDWMibiTcnRWfHEzPvwzJxv4c6aC3Bb1bn4zfS78cr87+HznvX47oHHoFW7WbKuTedDtt6PQqMbJSYHq4Zr1vjxjbGXYG33IbR5BtkihM6NqC3ppxwq1iOh2xfClWWX80FUHkwpAhErz0nRhNR0Kf53GPF9HJJCOOQ4HHcvzMitQHdwO/KMnrgCVqlsJG5zSBLR5x9IGoy39zXjVwc+gSOQ6by56dRB5OldGG0dwvi8PswsacfY/B6Y9X7oDCFodeSBl9jESN7sX82/ALMLK6Kh45EszeTQ4XJg6fsv4/Wj++ATRbR352Jw2MzLtceA+9MKpuPXU78Bgzr1ItXL1IYSQTsH9QyT07X0qBEe0kIa0sE/aEDQo4E5Zn/zCqrYwuviimiI1WLQM61qkhqkCrAnc6rn145FmdWWxvsrQa0VobZ48HbrVnx1+7Pwhvjit9xmg8DyINLdDwTAwiiuCOBHC5cgKIn4/rZPMjbpF/MuwLicAtj9Pvxmd+rkXeZ5DYfxw82Z5SZvGzsHy5bchkmGcoh2fVJ4R1nsE8D/rKkh477KzDZOq5IXzGGiYQRVXAefVSVV8YJdlDwsPx/kuU+XG0GmdmV2hypFrFRBFdROFQP6LBrgEaAdVEFnV0HM56pAdO029jbhqQsvgUmm4dCCRFmU1OUX4JVLr4oDdVRw65NjxyPgmtFcKMF7hHvm7eOcd5u23YKAJ265GKWjchm33VWhYjKZ7jI1hmrVuOyi6bhh4TS27UdHjmX0CNPC/IND0bB/WY4NZWXZCOepEMgF014ngJ+UFEz88QS0QOMAHctVpoajUgN/tgqSJqpBf7LGokF06ZL9JcnbyuMCbaZRq/H4TRfipZ/eiDd+eRskU6bFt8QKQtFxqN2U3H7HzHjJ2N6h+ETmdNY7lFxjI9dkxNdPn5/u4MzIex4B5vKjQ3QiRuVK87WwSYAvj/cPXRtKQeMKRlQsjL/H5EdzImq8ETpp76CLKTmFEwr9UqKvpUti0R9S8NGQgg8b3jNcOEnC9KpoBef/CAtL6V+kGFhRwbztyov49ansjTfewO7du9N+nsm6urqwatUq3HlnvPz4+PHjGQ9/xYoVeP311xk1Z+HChTh+/PiX2v8pDv4/0abnXodGJyU9JTPJCfhbtYWoti5mA/pZRUsxP+8M7B7ail2Dn6LXfxwGVRBlBonRQIiKQyCTgKdPogkofVhy2+BWeFh2Fz8mKUnTwsCoCkaS5oyqAPRUQYVWrqIRXikZSFFhrGWtv8INlT/AWOss1s4ryhfg+cZPGae8ztKFWVk8jKdUu1Uwjl4l4uLC/Xi5Yx4EQYPTCqbi6or5sAd34oUTj8EjDsOmLcLU7AsxIetsRlUaYy1jL8WWt3+CVd08CZGp6sRksJH3nmRF1QgzDf11/asw6CmLKEXk6D3sMzaoJsk00iKKc9vdoSB6/e5I0nCshcICDGrSnx/pseHXKJZPT5Kasba6Zy0O2g9HosnpoqPMr5ZmQRZrscC33+fCV7e8jvrhTuZxpgWKop6W6jgGdQBjcgYYVSjCwRfAFh85Bi8O9pbADT1GW7Jxdkkdbhg7DRUWHumYmFUzIq3GpDag3FSIg/YjGA7aWZRkvHUMo2E9umU1Bn1RjyOda09/NvoGbTAZgsg3GvHOBXcjT6/IOyRbl9uJI30DkMjrqyiDkMKLloN78jZLdtlNyM+OySaKfg0m5VTiD+cthV6tgUGdWUJyakEJQgczn2uu3siSJJddcS2+/slK7GaUlajvU2sIwlbkYu2iZ+aYowtvtm7BrdWn49JRU7ChowmBIaLvJC6c+B4MOV4YtVzh6PnDO9DlcWTEUxNyuQzJqpZjrMhTJqsf7MGmjhYsLIv3JClGSi8PfLQK7U6ZBJzmtiRw/MzenTinqjbtsZaOqsOPtpN8Lr+/2SJMUUOiCZbVeJA9wUS9orVVKL4WQayx91nFWoHJiMYZW6XLr5jtaVtWKTQSpZOgdqsgZvGExFbXMM6qqsG2r9yLFceO4FB/L7tPqMDV3LLypLyFbW1t8dciQx9F+0qFFsdIymdAYZYFy795Ez49cByr9h5hCZ5VBbk4e3ItDnb14rqn3kBIDKPd7Yjjmacylz8aTe13ueH2B76Ud1a5M7MtBvQGYhIDEu0kFsNsM6WQ00kenC2cBeB3V1yI8+qiFKnrFkzF65v2pshu4i0O05AlSMg3mfDnpRejOoFKkWONLzSXznJssgZngt2zaDaMOg1+s3ojdwYoRpKoVPyKhYHlc1Y+0grwFvCkYpIZjWjls8gMrzzLEpPlM6H96KgGQIhHPog6FTSBFakiwG9rJl55lA6071infB9yXimjmiYLTUETkBBgBcLSUHUEAYU5lv+ndPDb2toYD14xvT4ZE9E2lFD76aeffml+PBmB+OzsbFx2Wbyk97x589hLMQL3M2bMwB//+Ec8+WTm5P9YOwXw/4lWaBiHc0sfxequn0OUSBCQzwBEh7Fpi3Fx+eNQC1GQQZKLFaYCJkFoihmwyRttU/nZfdhPZQEzjKQ88ErgMj5DiUAuVX410fKdPDlUkURe1A6JqQcwxT7tfgFjLLwi5rWVi7G+rx4Nzk7MsrWw76eiQBKNxqz248lppyHfdAY8oUF83PEIAuF+1gO0UOn12fFp93EcGP4YV1f+CjpVdMClCWh5+8fyvlK1SqboyC6eRncL/EFPRH2IFQCjIplCmFfrJc65vNDSED87ouoTxv7hY8jW2jAcdMQdgUA/0W8yF9tS2hI/cFSaR8Wdyyfdq7mHhiqppvHgsyRKjRWDcrJwum1KjSUo1PNCVuQVvWvT33HcyWkClNBLWwWCaui0nHYV338Syq1UZTFFshGLDEuoye3DgZ4yCJoQvjv99DhgM8FWhWpzGVo8XSnpWtS+Obk1+M6+H2AoGM0xyNXl4OKiS7G6tSElQA2HVXB59HB5wjg8MIRFpakB/onhQVz5watMfSQuBZFAQ0ANURWCEAH3ialpwBcnWrBtfAfjW6cybygInxhEls6I8yvHIs9gwpDPm1LKk+DnLXXTWd5DqdWG5Vddj4e3Lcc7h48iQNr8kgrBoBb2XitMWT4YLAF2n5AnnwD++WUT8FvranQJLoRcuhgdfQkqnQiNOQijMYyzSyaw4712nBLH0wMzWty91XCA0Wz6PO70Casx9qddW1MCfPL83r7iHXS7nCMCNzrGjq529h0CJ4oR6Pm0+Th2dLdj52CrjLejVYMjRn+TLn4wHuSPFMliGuqhBICveE/dybUMUpnaqWYAn7aka01m1ulw/aTMiXPsvBN00WNErzKaVZuJOhk1vVaDi2fUsRfZ9sY2fPXl9+APiZHkTubZljn+qWQb6XqMyc/FvrYuPPHZZmw90YqwVoKYqXYfjRlUqEonMMlROojOrME7D92Kr734Pva3dkePzwqVxXeB0q5EE2QevK1IB4fbx2glmRKg6W2zQYcLp4zDzbOnYUxhvMrbdy8+nY2ty7bsj5wr5R+QdOSCaaNRWZaLSYWFOKu6JokeRrZgShUsRh1c3vQyzuUFWZgwuih1+wQBt86dgSU11bjyyVfgDYVYf8Uq9nI57Ji+Yc0Q4M/hHnlFD1+kPlQSlak5WgnWVi6rqdxSVJBN7wACZgL43KvvKRJg7pLlc5MbyJ8S+iG3iVGj9LSg4FWNuR8wZpKQf1f5JRzsjNak+X/BbDZbHMBPZbt27UJvby9mzpwZeU8URaxfvx5/+tOfGK1HnUa9i+7V559/HjfffDN0uswFjCiBfvbs2ac8+P/qVmM9DWWmaThq/wR9/uMM0Fea52G0ZUGc3rxiuwc/ZhQdkmJMDcD+URMQYlQSoNrYj2yZzEiUHALF5PUdDJgxFDAxSgqp42fpPMjTudHvb0ePrxnFxioY1Tr8ccY9+GvDKyjQfTrCMVX4vPtVrBlYjdNyj8KoDiHWZ6oTRKal3+07hi96nsa5JQ9EPmtxd8In8uIsiUZjkDeoxbDXwFR0SA0m1+SGXj0AtVDIAAfpyscOsqoU2V+KIg5Ras4vOQtvtr0XB9Tp2F6R7yczTIoWKyF6Sa2lBqXGaHjTF/ajP8ApNUwylAGh6LgawWCChFsqb8OWge3YPrgzJQeW3rui7JII6F7f3YAjjoTqp+w4KvgpUUstsgWFErmx6Pwwa9NXOKTtzLogTNoAWt1DGA54kaOPLgDpuD+Y8BV8d98fMRCwR9qoyHqOsxZhv2NH0n4HA0N4qe1F5NpKMOBI7xmi/Rwf6sei0kq0OofxYfORiPrLxaPr8I21HzJwn2J5wj1WXo3soU2Psp7ZvTMJ4O/ob8Vfj2zApp5Gtu8cnQk3VM/EE2csxV2r32VgNaIRL98P80oqcN/UqNdFDIexvqkTfm98ZCAUUMPRZ0Eo6IUlx4sen51x5XVqDV457TZctPrPCGQHmCdbCnPvNuVB6DRhRgm5fvQ8noTqy8zZp8Vdh5tL/ZFa0UjgnmxrRxuj82TJ0p2KrW9tZoupyAl/STvY34OvfPwOejwuqEnaU5++dkPkGaDcD5GPiWrtybqDE/4mzOhWM1pOksWSmZUogDLM+gWE+oBZf/wLuwfPrKrGbXNmYHxh+orQM8riKQw8SiADXiH9Nbq4hgP2L2ODbg+++sr7ceBeOSU6FFWdjSjPxBhtO6e0DDc//WYUlAczyFHyE2HAM8KRJ0oXQtja0oYHLzoNt//1LTnSKPPkFX1xmWmlqOgk7pq293uD6A2Ts0uey8IyyEzYWDlDOwIoz8tKAvdKxdbvX34m7lgyG58dOM6iHOW5WTh3ypi0+vCJC6j7r1qMX73yedptvnldvIMjlRGl7/X7rse3X/4QTb1DMpWJ98/c2lHYcpzENlIxPIWkQlmS3PfGfl75OPZryk+tm7TyAW+RAF+uBFN3BlygPFwx84wvh9Q95I8pl02eGxRHCUl5Em3LG8hQCfff0qQ0tKSTj2adddZZOHDgQNx7lCxLFJvvfe97acE92bp169DQ0IA77rhj5JZKEvbu3YvJk79cLYJTHvz/AzOobZiae3KFZ/r9pFCSPrSuV5GHMT15UQGtqU1CjsaD/BhuPJU/ESWgyZ0vJ5GSCex9AvzDAROqzP1wixw49Pp68LcTf0KXtwnVI1TRJRBDyabTbZR0yyf4xLFSTwm+YeCg/TOcVvgVGNTctWQPOtOC+w57Fuw+Y9yDOeCxINvgYRMoDchDfiNGWTgVJ91+KD9BBQ3GWatxUck5OOZswJ7hA3EFYdQkoSerraU3Sgymkl4qWDQW3FUd/wD3+9xod2Zh0GtiwJu2zTO6UWRxQCfnQRDwF8Nq/K3xNTw2+SGW4LxzaDfbJ52PIod5U+V1mJMX5ZKu7jzMwv6pvOlEhQiGNFBpAsg1exjQN5JO3UmYURuAO6iPm9zcIT+CYRFFhlz8Zeb3WBGqNb074Ax6UGoswPnF87C8Y1nG/VYV92HAkT4KRYsE4ss+tHkVljXsZ8dnVS3DYfx422cIZBRPkUG+LNSaznZ2dTBpQ0Un/aP2g/j2tnf5XChvMxTw4K9HNqIu+zjevehGvHZ0P94/cRieUBBVthzcOmE6rhkzhbVVsQ8ajqBjyJ82V8MzbITOGIBWq8ZrjTtRYc7BoqIavHXmnbhr84sY9PsiURRSrzGodfj9rOsx2sLBjU2nhyNTB0jA7qZODLg9uGD0ODy86ZP0IJ+Fk/hz0O/xJAH8Da3NUdnIEbzSdH1mFJVGvPcUPbj+w2VwBwPsGCJz845cVI7RNmgwkrOOCi0m9LkyL2rCVOxLfjjVHhUEfxpajwJG40YN0qmXoHKqAZ8K9Zq+yHkua6zH20cP4vFzz8flk3kEJdFq8nKxYFQFtrW1R/pZ5VVD1PLzTWwG9c+SimpMzk/tEc5k7+w6CF8wmJE2zRKGY1gndPjzx43Bu9sPMXAf9foL0LokJk8ZWRDE7JcWC6qE+hHU9s5hJ86fOBZP330FfvL2arT0D/Ngi4+Si+XdEEWO7mFGBI/ZAXmQqVtivdnKvmX6iWLKZ5TISwd4/IuNqMrNwTlj+aLc5fdj9ZET6HO7UWix4JzxtThzSi2TKl3ZeAyftzXirDE1OH/8GOg1mSHPVUumsnP409sb4fJGn61cmwnfvv502LVB3PHGO0yJSG/QIN9mRnl2FqNsLamqiuRk1Bbn4/3/uhW7GjtwsK0HGo0Ki8aNRmVBDm588nUW9TjZCA91ki5BGjPW6H2SzvTlU46BMuZl3i2DBCrAXaCCpOVOJl4kT6asKZhBkq+FUUBdqVx17JRFzGq1YtKkSdE3KMpkNiMvLy/y/sMPP4yOjg68/PLLScm1c+fOTfo+2U9+8hNG0RkzZgxL8CVaDgH8P//5z/gydgrg/4ubQU3ezfQ+Y5M6AKdoYhAmlYeXJspgovSC8hmbP+PX+hQr6PZlpVSIYTxG4p15c2DV5LHiUY8ffQzOoIPRV1yiHmZVai87GXmph4JGVJkHM1cRFUJwSwH0+k5glJknj1WaS1MOhj0uC+w+BYzEfzjsM6LAqIJb8jMg3erKQZVtMGWNAJYsFjJARBhLS09jCcAPjrsPKzo+x/K2dQzgaVUqzM8fj0tLl+DXR/8Cr+hLyT+nK2HVGHBa4WJcUHwesmVlHrJmVz9u2fgchgOW6MRFEqAeK4Z8JozJ7YOOPJdycq8j6MK6vq14YOx9aHG3sWJdnpAXBfp86IQitLrseM2zCYsLx6PCnAePGEyrxawWwigwO5Fl8CEkaRBk0pg4KaP+G2MrQJbWgI09DXj62AbsHOD5FgUGK26snoPbak7DVRVnRr5DnPtYWk4qM+hCsJl8cJBGeco2C9jd14F3murlxOcoMAmEqJ9GiGEpYS4CFExeVEJYTE6QpoWgFmo4gz58b8cKniApJS82Dg5348Fdy/G1usX44dwlrFJwOnupfk+GJ1eC2hxkNDlvGPjvfR+z7QoMFjw24xJ8es538GlnPbb2n2CLuak5o3BR+TRYtVHgfU3NFLxwZGd60C4Avn4R31m+Ci/cciXOLK3BZx0pkl+Vr4f4BJ9rTL4WKfXg06AIuj53TosuOl89vBfOQAASq3As021OwiGvLLCYRGluEa6dOhWPfpZGxpD+sZyL6I7DBokpj8Q9okqbRQ4k48nIAsIakSX7spkxgdFF6kvf+WwVppeVYHRuaim8x5eej+teexPtdopmcdUewUX645wTQbQpuo+ojy4YPRa/Oe0f0xXf0tCa8dll+I1kTOW/iywW3DZ7Oupy83HXzuREPfLcau1c+56p2sied0YZSeEgovbnmvl9MqemAh9+9zbsbelC+4AdWSYDxpbm4/39h/FR/VHG8R9XVIAzxlah1GbFt17+kC2M05q82Iw82tT3RCORHzW6H57eugNnj6nBS9v24PdrN7EicQoFTbNShSDLJ+JFtWj7VUeO4/frN+Pl66/EqJx4meJEu3LJVFy0aCLW7jqOQacXowqzMb66CF9Z9i6O9PaxiFqQaGDkF6M1oAA8t3sXS5J/7tLLMSaPV9Oi48+qKWevWCnOgXaHnCxO6Fken1KvQZlRpduRHhcC5RSED5Kizkh53dQvAuAu5wntLJid5oFkbdDydfZ181PXafhP5eD/Txkl0ra2ylEb2ex2O5YvX8408VPZ8PAw7r77bnR3d7ME3+nTpzPaz5w5c77UsU8B/H9xm5B1Glo99Wk/J2/tkoJ52DSwD/5wVCqQPL3kxSVqCoGzVEZbUnKtYgRoiJ9up6ydDP6CQFiLfr8Pje41cAQVWoaAZl8+Jpk7Uh+L8uYkFUsITpfHw/YuU25JspP87Ypl62woMxaj3dsd+S7p3g+6M+UgCBjwSfjO5HPxVus29Pg4aK4w26HX8AgCtYWq5rpDRvbZzZWXYKyVS3S+2ryGJRBzGUgNfDRRdB5FjzeM746/H39qeJ6p19A1ULTvq82VeHDcPcjX8yIjifbw7nfgCKamlATDarQ5slGdPSg7dzg8XN+3DVeWL0WluYK99g+14qG9bzBqB01qOnUAzzYtR7ZOz7z0BRbyrKvhCegiCcGjswZRanHE8f2JbkRFx9LlTShG/UyLpe9OWIC3Wnbhx3s/jJPG7PM58cShNdjcewJPz7+JUU3IhkcA94rptFG6hkoVht4UYHKMRE9ZXDAe7zYd/LLCHHGm0YeQne9mnHeysCjAPWSEc8DMjqHVh7BvuBHz8sdhRWs90+zPdLwGRz8e3LEcoyw5eH7BLSgzJ4O9Fnc/Gr3t0JlEzr+PkU4lI3CvsUTPW4pJkL5ny+v467zrsSB/LJaWTWUA5dBwNzb3NCNbZ8DM/FHsuk/IKYJAzzZJ0CimpIfQNfUIkHzAlqZWnOgbwM8WnoPVr56ApEmRZUf0LVIrqqxCjiEZ4E8rKsbLB/bKhyC1InkfKUD+/TPm4vzqMXGRjAi4Z1GV9Ll8qeZZAmlfmTgTl1ZPYF7aP2/eJj8fUQ80nVPYlLAIIclHm8iSaVV+GcyEuEc6FWhlANytQdAc5pWKU3xO4PePm7fitxddkLLNRVYLVtx2I5btq8fbB+qZZGWJzYqrJk+ExapFs3MYJo0W540eg+osPkZ0DDmw+lADA8Kj83NwVl0No4tkspGq0ELmt6++71Z2rahd5F1+Y9u+tNuzYlABDupL8qzocjjTYh29Ro2zxtdEvysImD66lL0Uu2fxHPaKtUPtPfD4M0cN2W1FoFIXw1MX4s99b2c3nt+6C79eHVWGInBPlzWgpKTKjVf6qtvhxO1vvINP7rktJQdf+c5HO4/gpc934lgHl8OsKspB2KrCcfcAz2iLpdHERPm6nE5c//ab+PSW21Iuksm+2HMCA/1u0OWl9DkWraDFAquAFdMO5Zz0HOCflLFkcolJqRKfPn3cXqGNyeA+g7GIrQTccfosTKn4D6tiG07g6MW9/4/bF1/w6tuxibSJRqDd40kfjfz973/PXv9/7RTA/xe3yVlLsKX/bTiC/SwVNdYIABvUZpxXfCPOLb4Fmwe+wAH7HgTDQRQbSrFlYEsKxZh4y9c6I/czefNdoiGGQZ5+IjjhbsHWgY1xUYOeoA214R5Gv0nM0yHzSTrYNBzcjuSR0Ag6FBnji8h8Z9ydeGDPzzn0Fagaom7EttK57ew/hr/OpdoCGrboKTNmY13fZqzp3YwTzi4WfZiUNQaXlp2J6TmcD7uqczueb/wkpiJv9ET2DjXg7816PDn9Z9g3fBDHnE2MLjMluw5jLdVpOZpH7F2oH+7I2LPOAMkxqrmqiELlCEUHgiZXL+7d/jyrQUDUnlyDl4F2XniLA0azjhYtIoy6ELwBDQoMVDGWitvEH42uU7HBBUdID6s29SxC++10ZqE2S48Co4B7tqyM7xNlO0jY0d+CVxu34/YxvBhVtjazp0yxEANbEowWP0zWeMrJLt8+mKwauJyJ2n3yxC9TONKZQFGL8iFWOTXyNbUES56HAf6+lhxYcj3o8PKciOOOXrZg48nJaffK/u/02HHH5lfwwsLbkK0zwqjRosc7jJ8ceBs7BxuhzwP0So6IUw/XgLxwFsh7n5qDrkQp7lr/OoJ2A7JNOhisYQwEolrpeXoT6szlWNveJC+0lPOPimSrXCpoByhfhH+2o6Ud182ainsmz8FTe7dHvaPy9nTOBHoenLOQvU0UhKN9/Yy2pDWJeL7zUxYBoQWRzC6PB/kk7ZZXgJ+cdibmllbEndOg1xt/jchDLkep0pmi9kHP93VjpzBwT8/VNxctYGD5lV178fK+vfALIYg6Mf1Mxirmkk67sloAdL3qtCsMpqTjFRAiec5Ut5UErGtryth2q16PO+fMZK9MFgiF8NMVa/DuroOc586oZxJsBj1+fuV5OGtCFEAn2ozKUuxo4onMSRaWoPMJyAqq8esXP8e0MWW4dNEkZFuNsBpGTuil07557jT8+tMNaSNQ950+76T2lWgnDZ2It56p2rQE/HXDtuS30yw6yZgy0rAda4434txxqZPqn1ixES+u3hnn8GjuGYLUA5DmQziW+h/bPIoySBKGvF68WX8A985O7WnduK+RF88LSVDZiVLGAXnISJKqUU+6pKJoCvUBXwiMZEqyLBXEItlN02Dmnib9fcVkFeGM1jXsxKGOHkwo+/J0slP2f2enAP6/uOnURtw0+hd4s/Wn6PO3sIRbMuLl27T5uGbUj2DRcg/iecWXsBeZO+TEvuENjJ7Dp9JEl52ACv0gwoIabpJ0FFjKbUo1lVRGGv3uULy6C2nee8M6VuyJJDcpGsCcg5IGfonAtYol8yZ6i10hHYZDJq5coXWx707KujBORYdslLkUl5ZehLfaP4JeLZ70ZLFnuBH3bv8DfjvjHkyUC2idU3w6e6UyokS83LQ67f7orDb21aPd04/pOZPZK9bcIQe2DnyKPUPr4BFdyNUVYW7eOWh1Zs7I5ybAFdTDqueAm4BUsSHKfXzhxDqme0+LvTwD9aXsxUygHBGXPxAWkKX3ocicupAOfYeSp4m64wzqYUlRLZnyBHTqEHS6Vvz62N+QbTCz91IZgaNXm6IAv842Fjna7LQ0HRY9EdWM2mXM8sFsTr3I0OlDMEs+uF3x9wNzLrEJPR3Il2C1eRm4T8RyrGq0PoTcsmHoTCFYNHzfI0llRvYcpqQzAcfcTix4908MIJ9VXo2WUAPsQU/SsYxWUlMIw95rgcqQPsFUMSrMJWhDcOn8cPnj29/n9qJ7qCnFQivqTtQOUXJx9EsKDvze/NOYrvtTe7YzlQ/FSDpw7qgyvHFsL46vHsKethhlFJUEXb4PxsIAPD2WSH+zxYO837NGV+OpCy9N6RlN8paTnKmetzxdPgy9XWcrxn1T5mPp6HFxi+byrCw8fObpuHnmNJzx5rPRmglEU3AK0A2R/KUMjrLCCORIEXoHLzYU7y2Nayv9Y/zw6HcSLSgv/loGhvH2rgNoHhiG1aDDeRPHYnHtaKgyhcNi7EfvrsYHew/zLmS5UrwzHT4/HnjtA7xwx1WYXRWld8Ta1bMn45n1OyBRO2PeVwUk6OlxkyTY4cWGwUZsPNCIp1dswW/uvwSnjati3ndKzk1nBVYzbpk/A+W52fjxB6sx4PZGgL6BElFPn4c7F8VryJ+sFWZboNeq4Q+KmR3RGcC9QiMbcnqTvjcSY4/A9RcnmlIC/D2NHQzcJzpxlV+1RIEJAqFUQ4Q8BNGPFUePpgX4pBSk7JvlK4T4S0sa+SzvhC/SHdXRIY2AftAoseOnMjbH0mOp4veuP49r3TMJ2BTbUhSKKg6zNlAeROb6XOzzT+qP4eMDx1il5AumjMN/hEmUT5SKejhCWOPfyE4B/H8Dy9YV4a6aP6HFvR/N7v0M3JWb6lBjmZlSeYfMrLFiom0aDjn2wRXSMHUa5XGnRFaSxSRFHLPKhwK1g+nUkwfepvFCK4QYKE9nNKVoxfeQpTHCK3ojXnyrmpICSZ1Hg1AK3j/Ne1Rx1yPqmPeYeP77XeUYpNEpZu9lej9uqr0l5bGvrTwTa3r3ocPTj9BJhtLUqhACYQk/2v8yli38PjSqDCLRlGPg6UOXL32eADsXCNjcfxCjzPGJR/3+LvztxA/hCkUVZbxeF5a3NyAQpOS8kSf/OLAOCecUn8Z+p+jDp10H2E9KjiVwn0aymIEkkga16fwjUqIsmiDaPSa4QzqY1EHoGXGZJObU0GvD0BOMZEUuJeSZPYz24w6mzqju9AwjIIYYTYeiGreMvg5PHH8qaTsFcDYPcL6q0cgTBtOdj94QhMejT6K6gOgmrDgS762Yb8Fs9sOW7cl47npzEFpBg4X5vKrlOaXj8fzxram/wFvO1W0oeqYPyZEWQAwJ2DxwEAaDUlsizbEMISSeQjpTG2QhyYT9hZlGfJpFjYzEREsYGnv0Pp9VyetJkJf4gdkLcMfUWVjf1oSjQ/34+7Hd6A06sKrVBfSpQQWrYxNTyWvv7zVAExRgKXMi4NAj6CKqncCKdj04+zTcNXVuErjvcbuwu7dDbmZse4kArAFMhG6SnenFJgv+uOgyXkgtgxHQ/80ZF+Bba1ey9hraBWidqkhSNdGC9L0q6AYAd5XIqQvek+t8RfkllZXZbHhq3TY8+fnmCM+b2v/unkOoKynAc7deiRxTZk315v4hrNgbLX6XaLTPP3y2Ca/efW3Kz4uzrPjttRfi22/wiBp5/mlRwsF9gjuHFtKhEL79p/fx1k9vxVcWz8Jf1yZ7vxX7xtkLGJ3nnLpaxpvf2NCCjmEHsk0GnDG2GhalqMaXMDqf32/fhKf37oBkCkNrj69GHGkrXTuDAL1JA38wPVVuwehRWHkgWrDrpE0CS6hPZW+u38cWAElypzFt09q5HGW6fbNbO5CeUzO2ogCrdxxL+Rnz1ZAcqUyfiX4AeIqBmiEzBu2eJNUk2t6XFQX0dPc7y8DkMmlREBPfQ8gI+PK4Z0RNC4YQYLBqWMQ31XnTd+m5ocJZZA8t+xgzR5eh0PYfpon/H2qnAP6/idFEMtoylb1O1s4rvhoHHAe5t1JOtyJvrUEVgFoVhlXlQ4kmWmSFCmkRZ7/K2IdjNKKkGIApMahCP4Bg8BgKNTno8lcm0Asyc2sJFOx1jGJKOlvt1fDHyiXIR+jyG/HzQ0/jvyd/k3H899v3wRUcRFDsgFHtw7XlZnzUrcEhRxf0mqDMM0/twSXJTI2ap8IOBMizfhiLCiah29eFjf0b0O/vg1ljxpzceRhr4Z5CvziysgxtR1zt+HOT8PeWx5kHP9avFvlddRwqjM1YForSmEmSku8PqDSNwoK82exvAs5UvZRMT26fjO3jgJyu90imlqMApNzjDmk56SNFd9KCQgwD2UZvWoBP3PBYoDcndyYuKD4Lq7rjpeco2dUX0MLpM7B7UTVCNV8ynS4Evy/+uBqVgLOrazE+34KXD++CJyhCrQnDbPah0KqHKxSvKKQkVPPz4ed5Rfk8WOTiUTPyyjEzrwJ7B6NKKFHjfBathtob30dE+2Fh+rCK3W+pjHZnsgbgdOpHXOaRV5oVsk61H5kmk9ZYUmIYGqgZYJk5qixJVtCi02FWSRke2rEKbpFn8YWdAvPopVYcEhAaMkCb64cxz8teZIzOZHTFXXOS2fzhps/wYePRKBihc4nIT9HBBMCl4fkAmjDzEhIn/Sdzz8GiktEjShEqdtmYCSxn4MfvfIYBJ48oKu2PnAcB3241/Llp9MFTGK/8Sdwl+l1WYZL7Zm5+GZ74fDPfLlKgjX/vcFcvbn3pLaz4amoHhWJv7to/orrTnpZODLg8yLOkRpTnTByDd79+M17dshdrjzTC10/J86nHLpYjFA7jzbV78c2rT2ee5Bc27mKfMWqQRBKsAs6aMwavtO7FI3tWQ69Ws1yKq8ZMhH3Aj1e37cevNmzE2II83DB9Cs6sSU9HVKy9bxiHW3vx7rFDWNXXwKMiuRJUARU0Xi4MEatSRmAyYBORrzKwRQntni2IGYWJe9ZJEefqqZNSA/yYVI9URvfjxOLCiPrOvs5uBmxr83Kw6VhLWnAfzVHIPE7R+DdWTrJNZZcsnoS/vbcZIUYtTG2kh59oEyqL8OJ3r8Q7n+/D++vqMehwwy+J8BklpoMfex0YtU0Q4CnhHH+1j688KKdBHRCgcStrbj4YPnTx6fjT51vR54hGepXWsYRrdXz/vb39AO47O03V3n8nk/45Sbb/l3YK4P+HGtFMPu75BB6mGKIkr5KigAS/pEWh4QyUaJZzdRF5bLCofHCGjag29sEr6tDmz0P8ECwwzv7ibCqHLmKUfgCt/jwMh7gijD1kQhZzC6QH930BKxyiFZuHxyCQRniZgvdHnI341eHfo8VD6ilKMozAqETlBjvGWnyYkU3AdyH+dpgWAJRaFftgcnCbY4rSJQiMHHO0o8d/GKu6V7JEZOXs1vV9gTrrBNxf+w2UmfKhFdQRMJ3KaEKstpRE/u7zOfBB51rsGrDDpNEjW+dNAsk6dRCVVjuandkpFY+ozXkmT2Qi84T0LJlXiTgQfSRLa4Q9yEPmJ4OB0kukRo3PaUzzAwY1n1TTGaObMN38VB5kCQZNADdtfQRnFs3BZWVL0Ofvweqe1YwKhIRvmXUB1BV141DvyfE6E9kfNJkS9/3OSTOxeeAo5laWsMXZ+Kxilpy6qf8gXmvhlY8ZDz6ghceviySda9QhmPVB3FS1JOb8BPxl/jW4d/My7Blsj5wX+9/L7xiVNVrxN7ZfyIKiii1Y0nnxS21m3D/9Iny//l1WQCvtvBNUpQX4I5qSMsLI+AKTDExlfz+2hz83ChWHZCUzi+shNKSH2hh9pmhrUphSjNRMbvzoTRwe6I3nhyu7VcfmTRAXmV78ejy59FJMKvjyHN+FpZVAHxWnSsu7QSBbboI6OqKlNZZMK0EyRHMMWF9qAZOgwaYjXD0q3ZePdw1g5dEjWDqOR4VS2a7uTLk4Ufvo6FF83tqIxqEhZBkMuHR8Ha6ZMBE2uWpmbWEe7j9rHmqL8vDS8q0YRHrnBIHXdXtP4NvXnoEHz1+MWxZMx0cHjrFFRHGWBeuGW/BuM1XX5lEJvxjC8kMH8c72Q4zWpFzNXpcL6xqbcemE8Xj8ovPjipkp1jfswk9e+QybDzVH3ssWVPDnSPCUS/CVhqFxS9DYBZbUS1NByBKGEFRB7VVhGHLeBt3CpOajVWFcYT6jZV02qY49p+XZNnTYHRE8xloxQlVcyik5b0wtHlu9Dm/s3s/uV2V60XvTCtpEbKThlJwCN05J74Qjuc1H7zgPP3pmVSTngu1X/pyiA1SdNtbokBdMGAeb2YDbLpnLXrtaOnDTM28y9aOkJrFoK/8mLahCCt+egp1agFSxhSA/YpnBjEtPm4xz59Vh1e4j+Onbq/l8QM8AjT8JfUn3BRVJ+4+w8P9Oku2/kp0C+P+htrF/PbYP8jAsDc2klsN48UIYOlUIXd4N6BYKoUYeirV2lGqHGKWD6Dp9ohWTrB2oMA6i3ZcLj6iFTiVijLEbVYb+CHghsDPd3IKj3hJ0BbLRG7CiTD8ItRyyTjTy2p5efC9KLAGs6d2CgJh+MUC2b/g4siJVKfkOaVHQ5M1BjakPQmgXaq0mrDrn23jy8Bq81byLgTeNSkSZxY5K2yDz4Pf7zOjxWZm3rS/QiM1D29m+FIlLBWwfcR7GC03P4qu1X8O5JbOwqmsHWyglnQcE5OqsmJdXx5Jdf3fkfXzYsUNeYJD3RmD1CcZn9TCKTKyNy+1AsWEStvS1ydghen7UVjpaj9eMcFiN80pmosAQHe1pUrty1By8eGI9U8nRSWJaMK54qp1BA7IS2pC4HfHv6fgUwdHKOvypjDz86Y2fB3n3naEQPuhYhzU92zDWZuO8ZiVXIOFbWUYfzNrAiJEf+qzGXIh6D+fzk9zgRaPHo67Qiru3P8cWRTS50rH2DLVibfdRfKV2AVuI0b7tHvIIxg93IVENu0eDd1vqccfYqEeKCnm9ccZtrNjV93a+i06vHeFBHcLDOuiqnRn6QN4vK7aW3I+0wFxQUoWLasbDrToXP9qzMrkXlYR3nyZOZSeuLyipmu0+fYeRakzIROXnRfxk4xr8dsdGBijG5ubjlsnTsHTMOKxoOhwF4dT/LDKQ2cIJBaPo+8XGaG7JihOHUd+fXGiNN1yJ+SfPq/dOn/0PgXuyjkE7Bl3pxxJGqWCnxrn3lMxIdIZ0dv3cKXihdXdKbzABwrZBXgMkndEz/cz27UkAn8afHR0deP/IETS4MlMAlf38aP0aFh2he7vd4cCh3l48v3sXll19LcqsNjzx+SY8t3Enuw4Gp1K3O70FY7j3BTYLbl04g/3+ysG9+HQvl8+MvSfgomTq+H0oka0Vh45gckkRbpvF96GY3e3D7b9Zhp6h+GeFFgn6QfIqq+CqCSNkldiL7xTQ9XFHRiJkVSQ//3DJhRidF1Ws+tnSs3Hn6+9ymkpsm5WoCrvcUXDLzm1YxNl/fB7BFBx/0UDJ6en7jinojMBMqcvKx+9WrMdvsJ4lQl8/dyrqSuJpnOfPq4NWo8bba/Zh97F2Rn8hTzl57hm4jxkI6ZmlnJmrpkyM28eQx8sXM4mjQCZsKi9Wiaaj9wPZ0GJudTmW3vBHeDwBFBXaIBSqWKQn0y5Goriesn8dOwXw/0Ntdc9nst89zLjxBOwJwBOII4tITUKNjmAOBkNmTDK2s0VAqTAMd1gPgzaISqMNIfEEWyAoVA7FKKGW9jPe1I1aYy9LlmRAQaZbkMc+tjJrbygLZ5nHYnHhOKZgM5LxgvGJxj1JFAkoNwzhuHMdFhR8BQ9OXIw+8W1WnzfR01tgcEOrEtHuyUKX73DGAXzX8E70+npxT+1S7B9uZFz/2MgAgTR6PTrpJnZuP9j3Mjb3HYlJZOZtpvyCA0OlmJbbwQBs9PsSfjjlDAz49XirZQfW9tTDH/ZDpwkxNZww+brDwDhrOb457lLeD3JRK7KbqxZjdfdBdHn7MwJjXv9AxSgjzqAOFk0gaTulCFqvl0dgbMb0SjrK9eBVgxVKVPz9UGRxwSBLXtLiyR3yosnNpebSGTlLKGrR47NAq0m9YCG/cr7BivfPuItVb3X4fSg0WVFvb8V923nxECXirSyYun12/KL+I5h05LnXyOA+cef8718fWI0zS8aiypoXt5iaU1CJe8YvwKObP0F4WM9i3yqilCiUB3nBQ3cki5ApWCLNQogWG0vLOBi6tmomTBodfndwDVPjifR1UIWQWwtJVCEcEiGk0IxXacMQ/WkmWQUvqQXEpue4ZF7w7u5OVtjrk8bjcAVjUC6j5Uqp5SNje4wKSSUc7uLy6ZG/lx3dH0e5SNk+pn6EyELtgtFjcP+MaAXgL2uZow5cbjGuCUzXm2gissSmEqOk888SsM/XzTXVU5yDwkUeyRrs8fe9NxjEVz/4AOtbmjmtSR+EgRXNSx1NoDaJVh5eZQvXIK9YSoy7QZcbd7//Hi4sG4On10erRItaOYk4TZuIgjOmogB/+mIL1h1vYt7jmaNKcd2sKXhhP6frxFokITmNUU88v2M3bpk5Pc6L/+a6vegeJHW2VJxuATqHAI1TQsgWM656FJ9zqr7g/fHarn145NwzIu8vqK7ESzddhV+tXo8DnT1xVyusljntsjuarjUV4KLdJ4F7+U8CvtTHSpJ3cuMFBGLanPSxCBwZlK97GGg4OIi3dh7AI0uX4Ob5/BlZt/8E/vbBVhxp62V/a3QCLphdh7rJJfjJ52tBUyfdY6y6MNW5MWvw/LWXJ+V0lGbzRfXJEdliG8nrCcyqLMGJfd1Yve5w5J7u6rFD0KkBa/okdLJFY7lQxb+9SacoOqfsX9B8ogctnhNsZCo3VsOsiXcrUNXTTh8PAVMyK4F78qAmgvuoCfBKOrQG8lCt72M0HloUWOGDSROEA/6kqY6AIS0OFKPFAynkKM9NUFIjKKjhC1MhHx2GRRNCkg5re9/BbVUPI1eXDY+3O8NZEp0onSdBgD1kRJnEy4A3urag3UsAOTWlhs43R+9Dnq4SLrExwzH5BEOc/7OLzsFfZn0Dy1q/wIqOLXAEPWxiHmcZhdl5E7FjsB6PHX4GzpAbVj2fR/yiFn5RoR3xomCt7mzUZfPBnMyotqDEWIkKsxbTcivgDl2IlZ07sbJzBwYDThTps3FJ+VzMzxuLdzs+wWfdm+EIuWDRmHBW4XxcUnYWnp93N5488jHW9GyHWedNkiSl30NhCv/yN7u9FuTpPcjW+eIUjIJhA5qcVhYNIFrJoN/ArrdWEKEmecGYi87lVvmCzeEn3rzIgCybPul+0flhkZV/olfw5AjPxL/3enXQWGgGjge01Od0jX8+9Rr2e6HRwl5kL5zYwMB/omRn9PiUKCzAG8icFEj7X9a0Gw9NOSfpswvKJuNHdtI15iERcm5xYB9d4DCpVgqLq+ieTe1Fo/vq9MI6TM+JTo4XV0zG0vJJqB/qhD3gxaMb1qLFaY/qd3s1UFuSk49ZjQBtGOGgOlLcJ+6YHnU8UIr5VQFdKxuOYXRBFgYFb+Q9yRgGMtJ0BGiz46/xnbWnocQYJQ13u13pwb3cFjqCRIBLIqFfAasOH8cXDc34y8UXY/HoLw8eyvJsKLCZ4zjECYeMN+outcQ9tqyaqgRJR95kkVGIWGJwmj4gcDTSQoj6T9SF8NrxPayg05isPLyz5wg2tnJqD8sJCQkIFIrQ92iSKEOsaJesACT4NDD0AjpH/Pl09g7gb8eG4poZMnOll4wUnd5WfLa+JXLNj/b04ZUde+ArTBGpDI1MZ+p0ONHtdLECVoq9u7E+o04/7VM/KMQBfIo4ZToOtX3tscY4gE9WV1iAP1y2FGtONLLiV70uN+fKK9WMHYj8TsYkJ9Pkp9PC05cDlqgcm2TNnna1AHdROKqslPicK5WXlV1TMSwDKWEBj61cy5KvOzrt+MnLn8Y9yyQUsWrHEew41o437rkGv1y5DoeaelgiP9uNO4xV249ifGEBjLpovlpdcYHcl/8AyKfo+KF2kN8p8buGfhEBKyWeJAMFesuo1eDi6empZ6fsX8tOefD/RY0mHUfgILyhdmhVWcgxzGIT+Qedr2HLwOeRZCq1oMHsnNNwWdkt0Ks5L5MPlXxwJqqIAsAzc7YF9IVsqNT1M8WdFn8eA+ZGlQejdCqW1Mk96nwnJIWZbnih4+gEETqIaPYXyAo+ZGEcde5GMOzHucUL8ULT8gxQgCgjmRJJCdgJUEOFUNiHLQMbM8Ynab4ZazNjT+boOus3qiNAZtEYcHv1ebiifDF+tO8dbOo7hs3ebpYfYNDEc9VpUWTUBJCrD4CESXt9VpZA3O+3QJT6GJ2JrMI4FgOBHhQZuPydWWPANaMWsZdi/f4hPLT/NxgKUIVgPvG6Qh7G8V/Xtx2PTX4Qj065Et8KXoh32j7DW+2fRaMlMg+cFmBKjQBJUrH20IsUc2oshfju+JvR4w/g27v/CoOGny/tg5JnCbAbmZoOSbrxfibaCfWOw6+DT9SyKIlKEJGt98Gq90XuL1oIKABYcaBlUg2kj9xuPW6vmY/qXCv22U9gfe8R+MMhBv5OKxyPu2qXYJwtWkCHjKhROwYy65FTb4hhNYtiZJoG6bk6Yk9NK8nSkeyENuJHZAo2EQ9g7D4lhIkPS3Wn6MlLWHRdNWouvlV3YVJSIi0upuRyhZs3lhbj9lXLcXCgl3m2KbtQdAEa0syPiZ5ZtXp8a/oZmJ9fhdeP78P2njYc6OnhXPYglZ2Xj5HxeZfQPexk1V4jcnwWkfGf03mV1ZYAVKR8QzQmnRl31Z6O60fHe96LzRZ0upwZPfgk7agKqyDpwwiT3K0owOuXcPf77+PDm29GTW7qInHpjBRfbl4yE797f33Kz7V+AUGFCsJuSv4rXQs+NPEwo8apRsgmjnjDhiy0bTpvM+9Pv07ED7Z/HFHZYRELjZZxzJmFBOah95cEoR1QQwgIcZ77YJ4I+DQw9gDaFMcSRAGaoTDCVoEXLWIJkQICVgk6Z/zITLKdjAaSrYJfxylrtEihgKtfTwR3eqDkyMpIJPTUXRJnA07PCNsLUHtiFqVpFsWZqik3dPXjLx9twdr9VOmZ321EvRKs0Yq3ZKIVEJx8IcdshPOjvvTlc28/ExNjMpXA/PEVqCjLwct790a/n7gfuWJ27Gc0TYbNwPPrd2L3dl7NNInyFJbQZ3fiv15ciR6nO7LAJ6Nk6GWb9uFYZx+eufdKRu1huycxA4MKIV8qCunIlkpCk4wWiObOMNylMWpUMZ+7hRCaBocwufQ/oOiVlCah9j+Hgn8K4P8r2pBvNw71/xiuYLSsPIGdjmAt9ntMcZOnKIWwbfALdPla8bXaR6FRaRmdY6JtIg45DjFgqSiqjMRzJp36/Z5yHPeVyBMEf8T3ecox3tCFCab2k8vsjLH44YFPYIFwAGcXLcDqni1o93RHQGyssQVCGo887w8qT0U+YhG5utFwhVaN2JZePxUxUrMIRzqjtvhCBnxn94vY0n+UgTXS/PeFeF8QsDfGVF6NPVMyr6jHKNMAKszDaHDmwx4wclAj99tR514cOboHYy1TcX3lN2DWJGvj/7XhtThwH9s2R9CNPx5/BY9N+TZsWiNuq74EerUHT59QZO9Ss3AJdOfqbLiqYiGurzwNWpUG73e8C21KvWmBJVn7RU7rIvlMUZZSoHuIFgQE3EfZqJKuFC/NqRIRDPOqvLQfv6hJm7jLI6QC+vvyEMgDrq+eg+sxh6kFkZY8LbCMmtTe98yFqOLPeyT8wELh6vRefgLbIkQIBIZYN6SmjrEFBVXJ9RrgUUsRNZ1gSI05UyeyPs9khSYLPrziFmzubMXqlhMsyXFCXiEuqanDYUc32t3DLKl4UVE19HK14B/OPgv+UAgTnnoyhdc0k39PgC8YxuSyQtQP9vL+UQNiXhDqYcrMi+cBXzJhPO5bPAtd/iFW0Gu0uQC7B9qxquMQxmcVodrKVXquHTcFu3o6058kW/tJUJV6IVAxKaWlBHiH9Hhpzx789Kyz8GXt5tNn4HhnHz7YcThO6pAOV6wzY8AQhN3r4+o9KbzSSuEuooqQxGgmmBS0haH2UGcpx4iCc7KAWQKGtJBygpCUc6THMjsIaUgLISRHSZxqiBYRYmUIAkU0aCGtkZBtNMA+AFZwS+dM9qJSTgF561kSpFwQjNNpeAEjUSsxqgmBOFKZmjG2HDmlVrxHFYVlcM+oJspQwWuvcXlU8qTL3miKcihCBOy+lxdHUZUioCzLxqrkxlqe1YTuBP59/DnwnjJ0CvAXUPQELIIiMUnH1P3O1KAq+EL4UGsPbn/yTZZPEEkQZ1EAgIKI/ly5UqtsoglQKc1R8j8yTWOUz2PkL8U2NLXC1tudWWdf3m8cxYcWhDpg26EWWqGk/So9bt2O1AkAdI67Gjvw8d6juHgWSS1zO3/qWHy4nV/TOFeDHNFjY24KXibpYGTynRmG6f4RMVyrjijo0E+6J2hIe+ilVRiTn4eSXCsumzcJ48p4NOHfzqRTFJ1T9k+2Yd8+7Oi6HVKCGgIBzRLtcQzpStEaiJe8I5jb4mnArqFNmJvHQ5jnFV+Iegcp0Jy0gwROUY+2UNR7Flsl9oivlFVOHWfink7ukR6B+yoJslJO1IxqM4xqE9Pv/+9J38TTjcuwuX93hGZBmuSnFczEvuHPM6wlJORo3Qx4GNXZqLbOh0H1EnzhzJ6jLu8Q5ubNxbbBrSkXFTS5BEL5+PXhT1lkQGkTqxrLPD8CTJrMuvLUtuGAiXHea62k1a9K0rUna3AdwNMnfoqv1f4C2pjiSr2+AewePpT2HKjdh50n0OrpxCgT92pfX3kdwpIZzzV+Ie9fmYAFBiofrrsek7JHI0dnZTQXskG/Ays6N6U9DuOYCwIccgJuXHEslQStIDHwrImRt1TOU8sq64ZZlMcraiEGVTAb4nMAFCx6tLWERRwGvNFrRxr6BerMRcEMKi0qzXlocfMKtGn7ixyUKtJ4Tq3YxNpCkoNl6Yu3zBtVgY3NLUAKuky8yZSlkMD6LhAjeO8IEP1oZCPP3MKySvaKtbkFleyVyvQaDc6trsVnjQ0ppD0zm87kxverl+DZQzvR7XEypZjS0WYsLa1DuT6L7Xtx1WgUyyCuIpyD39WvxSsnXmPa2ZH25VfisVkXs8XISwd348hgX5q2SFDnpXAf0kKzwIcVLQfwU4wM8EnL/POWRpwYGoBRq8U5o2vxsxvOwwUzxuPtLfvR2D0Iq1HP/r5kzgQ8snMlPtrZKCcSp76ADFzSsEunxRa+aS60ivjuEgQNySZGVXbI0xsyUEVSTvlBkKRhCBzTtnIElSIgDr6YZHFWkgqlZ0gXxmUTJ+LsyhosLq3Cac89C4+Tqn5HFyPUIm+ehLAhOqizH4xyxAEuAfWwXoBfLjL78TdvR2VeNm5+8a0IGA5aZHAfy+IK8eJgcTkJdE4GEeFsTl1iFqJEVDVUXq6LdcccqsUS30+XL5qEv324NS1Nh/btLQ5DPywg65CKvDkIqSQEs9M9nxICagmDWi/uXvUejmzuQiAYBffR/fK+0DrAHAbKm+TRp0eR/EXExU/Mycg4Qca8P0w5K7qMa+ak7yjvk6K/Xq1CiHSGEw9Bn1P6GknvQllExRv18VtbDsQB/LsXzMbKQ0chubn8q8ovMSqXxse/T0Ne0CyxIlgRD4wEGAdOQjqZl0Lh1XXlc6KoFb3fbh9Ge9cwW3S9tm4vrl44BY9cfeZJF3g7Zf88O0XR+T+0cNgHb4i49AKM2lqoBB2ODv4mCdzH2lhDFzoCOXH8d2XQJOqOAvDrbBNwc+VtWN72NKPpiBQDyOARp2ffQVlGGeyItxSTLDqCsLBoS9Dn70NI8qccHWl/A0w+MwpyiHE7L++8SHEuq9aMB8d9BV+puhINrlbOcbdWwawx4d12E1Z1f5CqpYwjXqAlOUkNzi/9PttfmXEsGlx7MxY1GgqqMC1nARrdjej1U1JWDAeUliySDg0O7hbjejbR75LxKY17uNKbwBJsox7tcFqg3uVrwaMHr4VFY8b07CVYUHAJGt2KNGNmO+FqiwB8shtHX4wzixbgg44t2DfcyCaEWbnjcFHpPOTpk8Hypn7iyWZQS2DnqHi/E7ydMhXIHjCgIEYyUTHlvMOiGvPypmPZdieycztRmj/ENOTJhp0mtPbkY9hpJuVClFlOpspvbBsE3DB6Pn5x8MM0W9ACBAgEdDFR2GTQRhx2opvooEP9YDcm5hQl0Whunj4V65qa+SJvxHYBglsDKTveRVZpiap//G/Y12fPw+dNJ+IVRTIuwCUIOhH1/W5Mszpx36R5mFtUgSy9AUVGS1p984d2rsCHbdxxENmTBGzrbcW5K/+GUlMW8i0WTFIX4UBvTzQ/Qv6hyeILvVQyo7Qfj8XFqBipKuIqtrG9BQ+sXskWhTRm0H38s01rccXYifj56edgYV0yj7/clgWVTUR4MDPXm1ey5VVwk3CffPuoXbwIAvPymmJVWwgQh6OzqvwM0YJBCqih9gms0BZ52wnM0YKAHSdM4FqDh2edgTwT17y/bfoM/LUtKkRAY5W3kHj5MZ53AvhBShbmtCwCYyq2jiTNRwG52Sa8fGAvzqyuhijTW8K0+Kb2xTz61B51UPbUx0QkGJXGpwa8EsIsqsGjPArgv7Z6Km6cniwJec3p0/DepoPoHXYm6crTfTWxpgi3XTkHo7Ny0NFhx9sb96OlZxBujYjWkDOaVyJL4/qsYeaRX9feBHgkWGIKuCVfPw5CKUk11otPfUZJsES9oX6KqfuYBMzZ8andqdNY/iErslkwlOChp8MRTYpyQWLfY7UXWDXl6HHpmSa1qFgbU5CPv117Gb62/AOIfUGY5FSvCDWLlIkoB8FHtCOeVK63KxTeTDkSXP8+tl0aFyCzfSOmXNu3Nu1HSY4Vd5ybunrvv6yF6Z5OMQdmUBH6d7NTAP//wMKSH+3Df0Cv8+8QJRebH/rEUvSFq1Cm2Z3xuwQyi7QOdAbjAQMNzkOBvrj3ZmQVQwiOwUd9hxmhJUTV6xKSGBXzhYk5nhnB0KIix/pDzMpdwP7u9mzDhs5vsQgCQeJIWyTAJ2nRHcyOA/eFhnKcXnBZ0n5zdFmYnTs58ndAdGC8yYtuK3DIFYY/Imwswab2okTvxLisBZiTdwMKDFzju8I0Ccdc+6BKIdHJlF9ELQJhNTSCFt+v+yE+7fkE6/rWwhlyQitoMTd3Hob8uTgkS2imM0Y5SeDfJxyN8fHZOY8YOpFYlMMrurB1YCX2DK/F3Lw7cDLW40tOJigx5uHu2otO6vse0ceuyckmwiYbp99QEmusF599Iosw1FgqMV2/EIdz67GxQ0RzRwF02hDjxHOPOjeazK8eP+lLt+Cqytl47sQ69PqcCeCd09GCTO1HLgITofwmZsYJ6Bz24f7177N3svQ6qChxWR1CrbUAZ5fUYVnLDugKgggFRpaHYzQH4rHLtz6RMaqz8jAlL1oz4X/DJhQU4qVLr8Q3PlmJfg8BXwFhSoRO4bFmQM7AQZPfq8OLh0leVoJOrcZP5pyD68ZGQVswLOKdpv14pWEnTjj7IRIajN0X0cuJ+y+RfpWIJucQWjDMRoSa4nx09HvgpYqk9FxSgTBZhSiVsedFLWFbXzMWFlWn3GZfbxduW7k8Ai5ii5i9e/wQfKEg/nzeJUnfu3jURDyza/uIijvM6H4WgCUVNdjS2QovaaUz3jugdqug9qkQpvNQbjmFb010nBRiTUR70Q3xxMXY4ltU6IlFAgwClo4dx8B9h9MBZ8CPGyZPxpodx9E0zMd0X54ENuQn3r4ExNScdkH7DlOyMCWSQkJfyINX9u3FC3t2o8BgYvkhBNrYAkaJDNB6gcBwhmRalUONsEnm6iv5GlYRd8yPqucMe3yMKpZnNiHLbMAL/3UtfvLKp9hC1BTZNGoVLlswCQ9efTr0Wv5sVufkYvGkqsg2O1s78NK23djS3MZurnAOjbk+dv/QOKGVcxVGMrpWcQBf9t7TcKfu53URGICNAflTy4pQkm3DzqZ2DLi5eIH8Ef+ZmbnFLRVLLgzcc+Zc/PzF1XEf0QIvlgYUZzGUKMVyzMkFzxZXj8Ynd96GK7/9HChLLqkfKKIaBGzDOni8cgFFtQCRqjqnUVyi9zzF0Up+NKZxxan09uKanbh5yQzo5Ov6b2HSKYrOKfsftrAUxNHeO+DwbWFPLwG8HZ4q9Is2WFV9KBvh+WDcxcSltGwWDddMD0sBHOp/GL3uD1ka6gKLHns85Uz60qgKMpCvUA2UQb3WPAZ9w2n0q2MsEOORKTbNxdkVL+Dw0Itod61lIF+vyobNMB+H3W6I4IO7TtCjxjIdasGI11r/hnxdMeblnYFCQzLocQSasKbjHvjFYeSqJSywAS7RzCTr6rLOxpyCb0CrMkKjio+zjreNwWutVuTq3DDEyCbQebpCOgwFTQzQlhuLYNKYcVnZFbi09HKWrEygn0Dgf+15Ka0iCxmrqihLRWby4mfFSlmM4O2P9ej7RQ/qh9+FTkWLkfRRHDr+Hw+tQ625BjNzq9HoHGQUkHJzFgpkhZmRrNxYmJKmlHicRO99Yvspb0OpkhxrA4MWHO8y4l1vVOud+j9As27COvIrk2eiNid99cd0Rt7bsdZCVmQsEbwzhZ+Yijexi62YreDzxANgu98P+FUwmoFjjh4cdXSz72pzAcGnzthjrL+GdTJA5Io6RPX65Zzk5Nr/DZtfPgqbb7sba5obcWxwAAcczVh9rI1N0NzkTqBcAq2CVqLeUr8o4qEtH7PKsOeNGouAKOKO9W9gU0+zrCQip9nHnEpYlMM5kf1zOiFZk2sAJColBQhpsUSgk7L9Q51pAf6TO7dw1ZtUEpaShJWNR3FB02FUZ+diTFY+tLJm94ScYpxZU4M1A20ZH0qmkKMVUJOVi2fPvpzRkNocw7jh729iMOjjBZnMYU7jYU3gq1nWokjNjthGIRncx3jJ1UEBOVYjzqytxsVvv4IDfXwMpgjGedW1aDs6gIAmjAgrM7HpjHzOwawQ4DSh6BoiCmAG/V6IJplLH3P8xHalMooO0CJFMsZGPAW80bAfp2VV4a/rt2GPXPwoy6DHdbOn4p7Fc/Dnr1+Btr5hHGrpYeB+5phyZFsyR4lnjSpjL2Uxd+nyV5Ouz0lZrFeegio0JCtOeXoEhjiFheg6+VkmzJ1RiXePHsbegR6oSIxJ8Z7L/csuM63zoo9NsiUsCJQ/zq2qwZXzJmP7gVZ8vvt4JCk4FOMhT94VV1JSyYWs6HXZnCg9J9Y+WncQoQz8fnYLJERSQiYVtO4wXwgppyknY/uKVPAVRGlhGbUuZHN4/Khv7cGMGn7tTtm/hv0bLbf+M2zQ/SEcvij3+ZCvFP2U6s+KOI18OeixIwpIqk/m5J3Ofjs+8Bh6XCtlcCbCrPJgkeUYhkQThkMmmPXzoNeUMYCUqyvFtJyzMBQYwpbh/x7x+MWGaPY88ayDYj8MKgEVpikwaAqRbViKrUNOHHYcgEfMQYUxDxLasHt4F6PB0ORPk8PnvStwfvGV7KWAn7AkYn3nA8yDr4yWBJJsVFubSfCtQKdpIkrNp8MVHIJBnQuDhucMTLDVoMhQgi5vH9RCiBXzovP3iTwyQf9m505Cnj4mqiAI0ArRhYJOpckou8jPmavTMI9k0iBPCblhVsWWb8vf5TU2ZQnFhO1jQ6UEuPsDrTgt/2J83rsrZSton+6gFlSI8Nvb34RJLMBRO/fy0e6XlNXi+zPORLUtM2Cem1eHbK0F9iDJGqaR+lMATAZT1IFibWjIjBONdJ8k885J/YNXWCXpUgPunT4Hd0+lisT/mI3LKsXW/hNJ14xX8I2n5CjXK3ECjv8qf8Pv1UJt8cVdY41BRGBAD2SRRzoe6LJrHaBkXAko8zPaEVkYIfz+0Bf41eyLGX3lf9tYpc6aMezlFWfgDO+v4HAAQY+WefNVOhFBloeRjocO/G7PBozLysf9G95jij58mpCgIcWdmKRshh8zcNrpmlA1XgbK6HqcZLDoyYPrMCOvIinngLT817Q0Jt9x7I2IxwJf2/AeqwGQqzfhzro5uLtuLlPa+eOiK3BJ+0s40Tmcvs3GMGqyc/HKedew7xhVKmxta8cg3cspaB0Equm4bOhOsYChRNlMIJqeBU1YhQc+j6eaEU3p49bjyK7QIeCJQWFpjCrvEs2G35PJzyQD+9S+xP2cBF5mz6ucnBw5niRhU2sz/r5/XxwH3+7z45mNO7CpoRkv334NKgqy2esfMbrWsXQdMio0NZJMKbvVdNFzZSpEKbTtGSffC9i9Hry/8xAkA0VoEhOv5WgAObRVRFmSuNc9PmAYtdh7XACW1ozFE5csZX9eedpk7G/qQs+gM+39QhEdon2x9tMughL0bgEVBhsumxNf7IpscNiDl97dFtVHTmMeXxDFBVb0Dbp49EslIGhRMfCuCkrItRhx5rxxuPi8KWjxO/HAWx+ya/xlcnpii6j9W5h0yoN/yv6HrcdFHgnie4fhlnQM/I3SDcAb1mIwZIFTNMBK8da0k6aA7mA8UCDwmqMrwNzcM+AONKHZ+ZbM0Y+OQARzc9Qe5Go80Ko2YWH5BqhIpFc2qzYPFcYitHu7U3pt6Z0SQxmqzNyzFgp7sL37GxjwUdibYgIi+gJZeLd3CEFJGxnzOr397Pc8nZkVnOLnwD/9uHs5cnR5mJe3BH7Rif0Dz8IdSl8Gm761s/8PEPt+xf8msYqQGf2haszIPR/31lyNnx96FoGwADfTo4/tHxvuqbkm47VZWDAea3oOpD++XBiq32tGntENDfMmRfnOVCRslHkoTlmGaFG8PzlXOJ4iJbAaBYk2I6cIjuBUbB/aF6fiRd/zhjQY9hnh96vR56Y9R2lZtOm6zhPY2duGd8+/NSPIp2qE3627Hj888BxbrCQW8zKpDRjwhRgdkWQzU80dGkFMyjGg9ra0kapC+snGotLhmYsuw8ySMkYL+bJG3Ov3jhxGu9MOtSbKHf6fM/Jk8Zc6QWVIYwoh0G6EihJFSTeezpk0s4e1vLiOLTlDbkdfC65d8yLeO+dO5OnNTB3n44bjWNlwlEUManNycd3EKZhc+I9Vck1nRrUO52bNxorwZuhsPDzv92kRdKdXDKKzPTrcj6Ufvgh3SM60k/uEwDwV3opsexILQPYx5V0E1ZBCKiaJSRGOdKpKZAQqvr55OTZe/AB0MVUzXYHkehyRY8R4pEE5EJYQBv0e/HrvFzg+3I/fLriIKQ99eN1t+OaHK/HJsQZ5wc0X6/S1cWX5+NaiBVhSXs3APdm+nm78ZN2amOPEHJPwAQVs5AJKKZsWFCDSwkimjVDwNdGT3zvsgpSXDNCoH4ZtAWRb9AjEFiVLdf401sjXhvHPo+U4EvopVd9lNtbeFGpbx7sGoKGZJQEE0t+HuvvwwuZduP+Mf7yAGUWQOL0uZv8qwJ8nQd+fftHEKEry9VGTzGzmguns2mscMfKpcddH/inr4pMDCG5eQ0GZYjl1i19bSoBmiwHiv3sFqPLoXhfw0uc78fv3NrDEVPLPxeTfR9ttpFoM8YsHJtuZI2Hy+DKY9fHP7eHmHjzw87fgD1ASxcj9+afvXoU/vLYOG/fKtWAEAWqjGpdeMBkPXH9ahF5Ti0J8/PXbsGznfnxYfxRdQ84RbxM6x9qSLx+FPWX/u3bKg/9PNl+wmQ3cA6IFQWiQS9krAHLVQKl2CL1BGywq8hymdtnQ54kJtjWWOtxY+TWmcrOp+3aZMBH/3ZCcIqpFGMHwEBz+/cg2zIzb5rLCajzV2sm0zGNBPpujBR1uG31HxNu+v++nGPDtZL8TuCe1mBV9k1mBq7gEPPnnQMDCtPRt2viJ6tPud6GXmrBv6BVo4OVOslSTv1JJNeyPemKpgJXGjSxNPTb2ObBpoBg/nHgf1vTsxLq+HQhJIoxqPc4pWoAry89Bti5zIudZRVPwdMOn6Pc545Jsoy3gevBMV95tQZHJhSx9AAZVgKnrKNViFWcKecB5PyrhTl78ivcQRTKiHnxyqnR7bBjyGyGJXZicNRkftDXArAuyRQBRYTxBLQIiVb8U4PLw+G7itEv3ljsUwGO71+DZM64e0Yv/22n34cWmj7F3uCEC7udlT4HoKcBbHQeZVCYdxWgKwGbzQquLemkKjRSViFYtpYWUw61FgFEy0ps7GGTe2FTg/oi9CweG25nnbm5+DcpM8bkmz+/dhV9sWs9CyRRSJnCmsRphKoifxdM9P6lkOtN+ToA2gTOuMoosUTTYYuaacYQSQwIESq4sS62UQ9ek1+fCK8d34IaqWbjhvbdwYmiQ9R2TwOvqwGsH9+POaTPxyMLT/0fpPPOLq/Hq3nrorAFozEGu438SRgWaBFUYKq0oV6YWGDj/h5pGtxC7bQSEnFrWf6kiIOzZkYHUUMCDT9uP4KJRUa9ljtEIg4YkazPXx2B78KsiC7B3m+txVc1kLCgezSIcf770Ehzt68P7h45g0ONBsdWKKydNREV2coTlye3plaYiIF8jQU3KSXSOSnCEToLAveLtVfghxI6ihMUYGVJmindd3lQBeRQRGgr7OX0ikzc14qHmz6NKjpTFJZOmeiRY+oQsq5jieVGibZI+4di0TqNk4zRGbX1tx1589bS5/5C6Cj3XNrU+TvteMX++xAC3bjChQTJIFvUCW+QwgC//zEw0lItUZYy0ROk59Dioh3g0QWvnkYDI9xLWYavrGzD/kT/DRfx3ljzLG5N4lLBaYvuLOZW43985cgjnjK3FubU856ytZwj3/uJNBO3ynKPJ3MczxpejojgHv/32Zejqd+BIUw/UahWmjSuDzZzMFSrPzsKDZy/G1IpS3PfmCu68iEn6Teyb2WPLkGdjyR//PhaOddAlvv+fYacA/j/Z1IIN/aKfAW6yuLFPAkugbfAXolbfGzcB0nBtU/kw2laK8yseRbO3i3mEqy3jUSwXTTo29Cf4xYE0RE2eJKuWwuyYYSkejHQ5noPP80tclm3ETvdoNAcKZHAqYZRuCNeO+iaqLdUIhYPY0vc2hlwfxbXvuLeQFcZKbxIG/eYkgK+RGrBnUE4sTjNGKeCebZKwDdP4lyTUGLuxz2XEx91v4Tvjfoj7x1wPnxhgAJ/qApyM6dVaPDnzTnxj13Po8Q3zipvyPzrsKMtgxDtv1fqgU3PyzxjLJDhDDgwFGyFJRA3inv5YcK+cIM0RKolL5ingfsBnwo7eUawwFm3R5GzDB20t0GnIW5/8iPoDmrTAVK0WYTAEsdO1D0s+O455+bW4oWo+JmdXpNx+cnY1fjv9PlZF1xn0MHHtm1a9jQ5XfUx4VoDXo2OvgkIHskwCvjX+UiwqGIfPezdgU/9O+EQfKkylyLVMwKEje0fsa0oEjbUOzxC+t/tNBu6jvQWcVTwBP556OaxaA5YfPoifbaCqstyUEuuiw8DUQQxZfmjiADnlmqQGpXRqIZIxzDD1E7BNFfnW5PCCT+KgHjqfCTX5BQjkedDg70kb0ibA81bTXnxxqAPNw0OR91j75Z/P7t2Fquxc3DBpSsp9DPjc2NzXyBJfJ2SXMP35kezs6hrk6s0YsqsQsBtYBVyYRwqlEw9dhEbPiyLxRasU6Q/WNxElnJEXUtElICD51QjZddBYOeCJ6yMC9yJ/VrVqAYeGu+MAPnngrx43CX8/uHeEmA3JXaogGfhzRovFNxr2MoCv2KisbEw2F2DjcAt2dLehyTuIyYXFuGrcRGQbjPCJQdy3/m2sberIzFGXNeNVkoAsrQ72cCAC7mOCe/FNs0pMyjECwgk8U1TDL0DjEhith9FDqBiVUWJShxlPmA040cExzgNN9JIYVZ8kRpqc7EkSm6kq6pKJpAiVME9R1ELjITnY9M2iRFWX3w+bMQPZPIXtb+/GI+99guN9AwAFAxMZZQLgK5Lgz5GgHyDajIpdA+LTKx5/5TxIDYZUZBK14mONyYFm9klE+434/B4BAiVJ0xQ60uJFApz+qEQwY9dSJEdZ9MrnljbZVja6h1/esycC8F/5aCcCwRCnHikcezbdJLRHfoBvvTiqcFOSb2Ovk7HFNZWwGHRwZwVY3kKS5j6dgkbAL266AP9uJkk0vqWQLT3JGiv/DnYK4P+TTaufg5D/k5SfKd5fsyqATe4xqNL2o0Q7jGyi1UBEefb3UGi7AyrBgGJTXdx3aQJudbyZNHwz7rc8VDNdemhgEESYtDWRbUJhB9qGHme/Z2u8ODvrMALhYwywU0KvXhWG6HsOofBiPN/0Czh9GzE2YUDq8OXI7PV0YFqAL6yNq2xKKYuFNNPJRu3TpsXiGYCYAFjVflZ1t8F1DJ3edpQay2HWjDBqxlgoLGJ1zzas7NwAQehDgUEHqyYHkuRHUOpCnsEJbQrJS+LNn3Afwm+nvYB6+0680Py7EY7EQT8p7dA0FJBU2NlXEcmroP5TAB8fm5MBVJjFd5Pf1+uDMJmi3lEqFvVZ1wF80rUfj0y6BFeNSi9jlqujBGUrvr1uJTpcjhRAlU+ZQXsB3j33bnYRaSC8ouxCXFnOOaZkB1mS4MgAv9QaLW0/FHDjts3PYsCfLCO3pucwerc58Nz8O/CHbVHZQB2dq4ULPvsoaqCR4Pbq5f6KGlFs4vsx6o0mff7UxsGsSlEHSoFhVfowVCVePDZ9KZaWT8Ht61/F0Z7MsLPf70Znb3pwTYd4avc2XDdxchyvmSg9P9//CZY374kr8DUpqxQL88YyAGHTGXBx1XjUZsfXyKAoyR/OvxB3vP8u+65EwDNDoiDLQRHCDNyzNsVEy1hXKF2iUN7pPk5L1eHoQ5sdQqCfV+Zl7/rVCPoNUFmDUBk4v1z0q2Vwz4Ex9dLe7h6EJ/MokWLfmDUfbx2ph08cKfMv+h26l5ucUXfv8k0H8OsVX6CvxM815an9fcD7J47g19s34PdnXogPuvZi7cEOfBn721mX47njO/BZY2N6jrh8CxJtR+XmQD5kDTHPr576KMaLTPtQeyi5GwgR+4F1dCKAk3dL1KekQ/EIV+T+Jc+zmhSsEjJWCBzrJahJoSbmA6L5iFkhwBi/sKPFQPlgFgbVfoQzSArStoYvqapyuKsXNz63DEGRFmcCdMMqBHLDqTnvdCtrBEiW6HtEyQnnCmDqzTLAJ8UjFd336dpJ/UQKSCM4bmkIof2rkpatJ2lCvEKOJiAn2lKKQwr1pVije7ieqlXLc/2qzYcZl54c96xdir4/u86x7RIwtboE86YkS8eejFEdjG+evgD//ekXrICYxsMXTEpaDSlrf+PC+SjIOjlxh1P2z7VTAP+fbARyMxkNiiQFSYNOU7AAw2EjJqu6YNHVodB2D9N+T2VhBCGG+2EQQrL4IYV0CUhGt6HH3hPWwqxbAIMmmiw76F5FpUTi9kdVZHWUgSSbw78ZG3pfwQlXPYq0yZ7NfySoZdN44sY00upP5Yg42X2TQpA7bECzu5EB/JO1YDiIR+v/hn3Dx2I8XEE4Ql4GxIsMlLeQoQqhFEIwHGA/T8oi58an8pqsfhwcjGraK58RNSeVdGkiiFU89wTu+efR95Wp/Bf1KzA1exTG2NKXGLf7fXi/8XBaLzS9O+wP4JovnsKwzP0vM+bi+tGLcEXFXBYpmZBfiDG5eWgYHEh73QpMJiysiCZQLmvezmhRqZKbycu9f7gdrx3fjq7gIAw5ARTkO2A08qJTyvn6gmr02G0IsdyLmGRAEcizuOFj1XgF6NQickwe+HxatNOMlfIswaIgnCrDp3GqMqq0TykCdGnFNFxYxuVdC43WpITARDOqtBAzbEPvtjkcaHPYUZmVHZnMv7V9OdZ2HYvrHzGgwq62fuxqG2CVdqk9T+zbhIur6vD4wgsZlUWxueXlmFSdiz1tPRCIuuJRQyIvfgJeJCCtobpDVi+7x6gvSdI0dqOIJzIooMyaha9NX4zf7F+HXq+yOIv3EWuYWg+gtgYhUoGnCPAVoNKEGQ1KJPlRAiqs6qsMJkUBmzva8PCmj7GgsghvNm9Hs7sfJo0eYwrzUN81mHlciMkboUULVQAm+2DbIfz09c/gHBOOJDLG9gHxvr/22QdQ6RUhdbl4Wbrj0Hglp12MzsnBU2dejm+FP8KHx4+mb5+cBEoFikRbmIF9Q5s2JUWE/iYlFbUzjJBN4YJH70P2U9bBT30ovhXdOz864wxUZGXj/pUrECCQHzuOUGSB9O0Zp1zgxbeUABfRiWKyVElH/opFk/DU5zvSdj89C4vHjGZRyC9jP/twLQP3yrEImOsGVAiZwgjTJZRpThTlUJMnPSYsofMAE0oL8co3rsPf9+7F9pY2FvWhhPOfv7Sa0WQSe4n6kvj0pEdPwDWt8TBywmgsL4hG5P8kv02PFYm9UX5ApPDWCPsiepmSzOoP8rmGFgY8r4ODfLpujG5E3cK09CV89ZpF+P9jN8+ehmA4jN+t2YigJcypRHJb6bh/3rgN40sKcMaY1MpX/7Im0coqxcX5ksUC/5XtJIXLTtn/lPFJOnO3c/qGiFLtIEbpBzEcNqDd14QPWy7AkaEXIEV17/g+JT+O9X4NZsHHPP3kGaekWkqCjB1daL8mVRCOYGvcPoJiD0uU5f5jgpRKPe942z/0MRsQXaIhKRJYqrePIKkosYJbsQsOamPCmcMvixfHJZee1G0qseTkccYu9LpexsaeP+CYYyvEkwDdb7Z+hv3Dx+W9RI3gNYGxbp+FUxT4simGJMuNKvPqVHqUG0/OSxKrnEP9WG62Q5Ui2daiDaDa1i9vr/D1Jeh1yRKa5L0faVx6s2Vbxs+bHEMpOa/xJqHdES1D3+kdxG8Or8DP6t+WlYUE/PT0sxhYTEUUo9ePTz8rrpDR+23RSsapjPb0lxOfw1TsQknpEAPf7P2Ygkl6jYiyHOpHSszjBXJUsvKF029AgcWF2vwBjMoZhlUfQEGWGxX5g1AnLNzYM2IKMmBKIIX+XT96DhYXjWVAmv6uMhfg9urTcFPVwsj3FhVVZQT39M1xppKT4tfHXoNdA234vOtoPLgPqhDyydKTbIHJ71OylU1H8MiWj+P293rDHuxztkPIDgKFfgg5AUbBYWRipX0CoNH5Yc5yQacNQ6OWYNSHYGT3Wvx50aFsBj1eX3IrrqqehlFZFqgpkVah7FD/q8PQ6Pi1YNeDcjco2ZQBfjnvRFTxnICEwlfsO0S1UktYdvwAHtn5Pg7ZO+EK+dHrc6AFrSMs+pXjcKO+u6xqIvNcP/H+RgRtcoXOTB5TfzwwTXU85T0C4HklRpyx/FnUPP9bfNrM81kymgAECkMQs0WoPKRmkr4AFwNvPlLqITBK9Qs4tz4s03oyKcqQVWZn45lLLmXFsxZUVGBySREH8MoDyWhGEqtmy/j2JPcZ8SjTaoQ4JFEwS5z6hvAAppYXs2ckVXtpU5LK/DLW73Jjd3tncrQsJEDnUEPfo4KuW4C5TQVDn4pV3iV9dkpwZYHgEHD7klksavWVmTPx1BWX4YlLL8KFk8Zh1U/uwOmTqpOqigetgKckqlqT1itPVK94H1hMQCHNd5RpIhWGpKgJrWtpYRIQML+4PGN+C/WzQs/RatQRuVHmL4xZZ9BwpmaFy3huwKKZ1Zg24eSdXamMxqwzaqvi6TlKRE+uKv21tz5A+3BybZZT9n9rpwD+P9mydPwhTWeMGyypMN7YhXytOw40+8VBHBj8M7b1/ICHXmU73v8w+r1rYrblU4VKBtGJgFIttaHfG+Uya1S50MIPixCEWRViL/pdz4R/o98lHWgyT1iHVn8u2gM5LOmXEmvHmrrZ9ukr5AnIJRcLlaqHCK0QkqUMwaQsdw2Nwt9bZuNvjYvxavtstHpz2Oe0wC7QT4FaUGpmp9pzGAYhgPGmHozW90MSd2LA/SL29H4Nfzl6PQ7bN2ak5nzQuSHtIM2pTSp4xGjkhbz6VOCp329CszsHja4c/OzQC+j0ulBjrmO8/NTGFwmJtE018cdpVE6wYFiFCosd84qaUWMbQKnZjtHWQcwrbsGYvL54T6mG843TGW25Y0BWT0hjRvXJedtiIwjKb6s692B97yH2+7zyCrxy2VUYkxdPF6nIysJTSy/FhbVj494fDiRXw413skjwhYMwaoPQqlOfJ7uvVWFkmZUE9agFRTWaB3LQ7zRhwGnCkMuIkKhCvs2NKZVduLauBL+cdwGePeNK/H7x+UwDvi4rH6OsQE1uP/a7V6LI3IdHp56LqVnVODw8iKeObsYln/8NS1f/lVFnHj/0obxYSL6PqLnFJiuurZ4x4gLKptej3Bblx77fup8lPsf2B9FZ0sW1CMy+e+Ig2pwkBcnt5eM74/qJdkfiNGpdmAFvo9mPrDwnLDY/07pXtiMjmpIhYUFJ9+9loyejxMTb6RWDUKklloCt1Yvsp1oTr5QT+Z1uMZl7PzarMG2OBPsOU24JI+gjaYCYMUwjQm9NpyojoxCZYkQLqxpbHpaOqsOeE53od7gZBz7TCiGSL8AOlvx+3O8hKpokoifkitCGfP9fe2cBJ1d1/fHfuK+7ZuPuQoyQECN4IISggWItUBza4i0tFEqh/KFQPJRA0ODEIAlxd5fN7mbdd1zf/3Pumzc+sxtIIVnul8+Q2ZH37rtz33vnnnvO7/goD6c9LyCJsdOPSUZq++EezPynMBO/5j0Z4ZRP0d73yDD8YPZlOLubGJL597WrsLWmOvb2qesSFZLyD0M6H78pO4Ce/dKhKAZcOW4IyT4o/NqwFJbz/KxzMaQwclUyMY2W+NeBQBvpCqqRid5vygOwA2pK/gZw05RRmD64V8zvJum1eOGWC7HkiRsxY1If2HMASxfAkeU/LrlffSfSYJdWCanQU6zounj+OmkT0aJaAZypYhgU1Qh4ZPokJGu1YeFoweMWjexrhwwR/5bJMHPiQDF5WSZjYT4hJT8Cu58yvjeeuOf8k5K0/97mHXE92+ws9Ql4f/NOnJYymUKMRyeBh+j8zBQnXYA9TS/FrSBKJ2MX43SUWcK9cEEEVFiXoNh2LnIN4+D0VKPeKlbhjLyUSJ4U8uhT4I70PhnNVW0LkKk/m00UXM6VUPs9n8F2ACqWkCvALqhhUA+liuXQyV0sfKfZS+XsxROhxpOMbGUrZqTvxJeNg+BlSjqysHCGAp0KyUortHKpCiwFBalR6szAgdYslFlIL1/8Ro0jGR9VDkOKyo6bu/lwduEL2Nv8X2xvfDG6v0jhhUkmiIQazzThyFEexWfH/waF/FH0NI2K+n69sxlmT4j4cZw+d3pVMKlEF47do0KFLcWf+CuDy+fC+sbdWNOwE+fnjYBBWQWrh0JOQn9j8ehUMTz1BKnzRNLi1MHpUUKj9KDAGO4dGZBTxf493JhYkjIUly/xakaP1AzkG5NYDH4iNLroFQQypD6uWI8J2f0CRZcWzbkG+xrqUW0xI0NvwMCsbDa+yZNqdjuhVVBVYBWydck4ZqlP6MMntEpxlSLR/cqkcaLVFl7xkYWBeOSobEoNGzdpRivy01ph0ltxeQ+xeiudD1Xunajy7AGVRpNKKm1uPIr5B1ui7qRHzQ3409YvWcK1irzGHgW8Uix5SDz/MyMvwND0IjyzZjXqbNaYiih0c796wGAWViDR4LSEVWulYxFiaeyF9ZYMi8sP4oZ+I1lfh8afR31WJkCrCyYBRr9PBggZ62LCsnhEQI5Oj7/t/hz1zja4BVfC+hFskibFiNNHlALUUKDabk48KRUvXkyulFa4KORQ6ldNsoO5K71thpC8BPI8k+HsDfT+kMw8/Hv8TDbOWiz2E3BrhV4MgwZb2NSW6l2ZxIlM2OoN5X34jc44Rwao/cY5/Z5sEaMD57Aky8u8N2KNAV+mB4JdDrldERWHT+Ppgr69kWEQLdc2pxML9uxMoMYjE0OAWKJUxFvBwqYMav17h7fDS+3QA069B7IM4JaSM3DDiBEwRkg6doR0o74jOdsQNMA9k8bju11HYHe50Sc/C5eNGYj+RTkob27B/C078MMRUqvzYVRRIa4cPgi9s+g6CRYrXlyYDm95tB1HEyfy6CucojY8TbYddg98drEgVMxmyQQ40oGpOSXYdqgSFocYBiQkMO6ZQezXwfcZZHjuygvQIycD71x6Ka766CP2O4WeSmTIPzN1OnpmBB0mV0wfhqUbD6CqvpXlq1CSLsXkS7eXS6cNwX1XT4ra9/G6Fha/X99iQXqyAeeM7oOinHClslisPFSacIWS3qM+v2/yeJw2+OgHinE/5km2nB+LRpGGoZkPY0v9Y37jN3SAyZGuHQS7p4mFpcSdBECBI22fMAO/0bY4YBjH/mzwX7puS/78RscWNNjWQCNzw+wIV8QJ9/YLIFX74rQHkdHyPFxMpUe62Ae/VOtJQZayBaOSj2KXtRBWj5oZ+SqZF5OyBqPKvgGqsJJ40mRDjp7JDbB71Kh1JIW91+rWYU1jCS4tAfqkXAWv4MTupjcpcCawXCiGIcU2+tgkBV6kKGz4ruZN9DCOjPJmhHpHExGIPRYQZtxLSEbYl1WbcEePK+ARKrC+aTnsXqt/1UJgMfWxRA5IGtMVp3jZodYM9E+vidmegblV+E2fEdhRZ8KX1ZuYmlB8g0lAz6ToysGRBsGtA0fhT2uXxt2GVudmqwWR0A3/iDnYTjKUNzdvwdKG71Buq4C6WYWB1sGoa0vFx0cOo8XlYL13Vl53jErtwQz8+Ih3fVrpSGQQiqE50eEkZNxHb1GGRouBJSyfmRlMxl7fuAUr69dFefIq2ox+AzO6ZYTLK4NaCahVXghKLzNKxTYJTBHmw/I1sPoseGbKZNzy9TdweNyBG6ZkEIzMK8Dtw8N1w7O1SWyMhhr57UG/o8XtCjxXyeUshjYWijgrImHHSNEych+LyaftqeVyvHJkMQuzonYJPjEoMB7MAHaS8pP/PKICQN174bOajnj8xGRn9j2nHI5mLbw2cTVNZfBg5uBuUFgM+Hr/AbTaHJCpSV5Ri5GFBbh16GgMTA+O+bx08fpCsdYUppNgl0wCNSw0MKqPZPDpqUpQjFJvLKZG9M5HKtMEDHS1//dQUNiNpNSVYEogF+Ajj7+kdR9yYRd0FMfvg7JVydSDJPnVATnZeHSyaOTtqqrBv9dtYNWKEyFOOkInQf59xirKJIkB+P92w4v51dtwiyJxaA5VBn5v305WY4DCaSYWl+DiHv2QYTRArZSzNibqC49KwKGKBrxw3QVhlXGXHTyC33/6Fbv2SG2raGnFh9t34bHpkzBn6CBYHE64LB7IrAJbxQqt/MugxGI9nccqrLz5JixcvxtPfRZc7Y7qA5MMD0+egLlDh8Lj9aHN7mATpAuensequ8aCdsdUc2SAMV2LsX3F0M5Wsx2uBgoPlLGJEwtd8wBKD/Di0nUYV1yENIPovCBpyzcemoPn31+BxRsOwEt5C3IZ0lL1uPbckZg9RfT2S5CH/YUPf8B7i7ewsEVJbej1L9Zj1qRBuOfKiaz2Q53FgkX7DqHF7kBBShKm9e4Bg1rdoetP++GdnJ8b7sH/hbz4OmUODrS8iXq7GBetVWSga/Js9Ei+Gt+WXxzXuJd0583uUvbc5aXM+sR3aOYxoNCfkKu0W3BgS+2N0MgNSJcpWfXXmJBCjaoQckUJPL7mmNVb2W1MoAJcqSh1pbHYcXpI7GhbiwwqJ5hAOahncj1qHaSsIgvb8tr6MtQ72pCpTcKAtBvQI2kmyixLUWU/hOP2BsiETZDJEnvgkxU2lLoqUes4ihxdUD2IyNSkIk+biSpHIgNTBr0/ALPNrY0y7sM/KcPX1Zvw0rB7cUE+TUq8eK/sn9jbtimGf1M0XOpsRr+vOMIQgAw2rxp52uGod+70e0oVgQlOk0uP9yrWoFhfiEy9GS0uyXMdnUpG1LkO4OOKpZieOxZGZbiXm6QXXznwA949sgEqnQduuypwPGRgkpdUo3UjJdWasLASQfKtb5S+jdUNa/zVi32ww44f6n8QvcAKSvTVs1b9UH0EP1RTgmI6Gj1NcbxE/lhzn5wV1opnkLLwNr/MooQvoDce60syNNv02NHQin25FeiTVIhva5YHVp0kXB4FLK72pP7EpHaSUWUTY2aICSyplyYmqxt2swf15bnD+0JnzcZXhw6ymgCUUHvNgMG4tE//qNoAM4sH4f3STdAqPUjW2Vmyt9uoQIvZgDZWCyH6uOi36pYsFp2hG/mU/F5YfHz/CVWljD46fxKuTA6Fyub3WvvDeeRekFiK2xNixIfk0fjc/lh7/2v0/tX9B+Pbuj1wMvH4xHumFSNXqwb2aklnW9yBq0WOj9YewT9nzMBjkyahqq2N9W9ukilmqEOfwixWjOdwQyMcWYmrw9JkWZ7igrclMhNX/JJAOQV09/TF2Qir4EsrOhHnNK0wkHKQlBvKklnFZFtFm5jjEQs3FVCLNO6DXcR+Z0UqkOs0IS8pCbMG9se5vXuxfrh/4SJ8sXOfmDMcFK+KCRv7dEwUquW/zHU0woPGV73dii+P7ces7mLyeSQf7t+FP6xcwp7TJIQ2vbKiFM9vXod3z5uFAcU52Hy0Mu6ERzLIv12/Dzv2V+GNey9DVqoRVa1tzLiPVAhiVVsp72fR99hXVoevNu+D0+OFWnIwKYRgToYf6rM5AwZAr1LhinGDmVf+5SXrAmOXjGXa6tDe+Xjm8hnIMokKMhRqk0arEKSodNNMXPV/C+ARy4GH5drSBMKfasYUsGpbLPhh31E8+Z1Y30PmpOHjb59SgFPvwxFfE6a88xauHz6cqWyl6/VIMenw2E3n4M4rzkJZdRMrVNWjMJO1I5J532zC/MVb2HP2+4b00kff74BBp4E5xYu3N21jEyQy9slgf3zxcjwydSKGFxXg6z37A/0ZCRXwGlGUj9MKIV6CBA/R4fxEsvQj2cPjs8MnuKGSU8iLeGKqFUmwM8M9Pmq56ILSKxPH9BNkeEi6+5E3I6fPijpokaOwxPaC0wXJ24jDZjJQw0NOyHvOijWFeLdTlXZWXTZ8G6JEppr01WJA39cp3UhWOZjXPqztELCvtZIZ+IRWmYZeKbPRy1/9fFHZ2XAyL3lsRB1ssd02b3QSEN0YZxVNxr8Ovh9nCwLUcg+0rGIKbSPx0jNd+g9bKtDoLGPGkEmVi9lFv8eH5S9gd9sGf3w+hTOIEyoKeRqWQWoPHhxuy4Tb78k3qZzI0bfBLVNiZX0Znhv8F1TY9uHj41+hze1Em1usgkztanYfRp5RQLbPjIMt2X7jNNQgAdJ0Npi9Hrxz7EssrlmLpwfdxar7EmSo3bHhA6ysPcg+rdYDSo0XHpIu9MlRZEzF9JJiLKxeFdcgopcnZonhOT/Ur2bGvfj7BceMFJrVJ6cGG491YQa7eAOU4XizCxf2HIAl1aS/L35Hr1AjRWVAtb2VjQObSw2dKnGYkdmhjVHIKpGFImBHfTNu2fR/eLjfHByzHo+Ka3ZRlZd2CUoJSn9TaFXknunYVjXsQd/kNqy/7mZWUTgR/VJzMTxbiTZfQ1CTXuVGstEBm0OF0upMv2xqYLcsxOfjQ7vx+ZF9ODO/C67qPpQZ+JKREdpOWt1oL+yJ3svQJDE50E+Or4ZY6SEctdILl10lhpv4DVEWGuVUiCo5IT1BuR690zIxNDMf62rLE+5XTsW2fAIszLiPtmxpT/d++y0GZGejJDVxqAGd63+aPQk3/d8nMFQJsObFkV+k4WcnCx1QpDjhcyghOPy/Eyn/kPedGfftWL70FVI1kcZBpJ675OCg//IdEGQayFqVYeOPxZxnuFgyLmVlxp3cUhghPHji/MkYlxdM9v/zt98z457hCZHMTNRsuRw+Oi8p2fZEbR0B+O/ubZjZtR/bTrPdjv/u3o6P9u5mSktOfxnGkI8z2pwOXP3VR3juzHOwobpSVLQJC4UXROUhUo0hXXsPUFnfgnPvfw3Th/WCvEDNJgyJmvvBjt3MGx4KhTWpmwUmASlTiz/98Lx83Dt2bGDM3DxlFC45oz++2XoAda0WpJv0mDG0N7ITSENSuNDkMb3wzZb9LH6fXYuUolqPj5Kk/cPJJxMw5a+vsf169BHqPnpBVA7y/2bNLgeeW7cGr2/djHcvvhT9/JWvaRUjpUd849rhcmPe1xsT9Azw2qbNsCULUd54u9uNP369BPecNRbeXfF7lyYmVwwXwxw5pw6nvAf/sccew+OPPx72WnZ2NmpqxHAAmm3S+6+++iqam5sxatQovPTSS+jXL1gg5VRGKaczONyoLTJOx64mUmKIf0Ip5Sk40PIJCg1nsZAd8urHwx3HuJcg498hKKGL48VXyFPg8kn12P2eSf9nw4txAbkaigmUo40EckOgRNX2UFOiaXR4N6ze+DHhJlVXlnwcr6/owipJkyapxDhMosZRi2NWMsKVGJM+AJWF9fi4YhkUpEPv99HTFinEKE/X1kEvloDu+nr0NtTg87Ir2SsaeTL6pMzEnOI70eCswa7W9bB7LdjR/BXkIDlC8ZuD0ysxIK0KVrea5T0YlC7sN2fDxqTZZPi+bgM8PuC4jTz4ohFLFXSlmH7Ki6D48yRVOauIW+cQQ0rI82tQuZgXWWwhVVVtwr8Ozsdj/X/LXvuuaj9W1B4MOxJKmlRTCAKFX6EW/dPHYkWTgWnrx4rhpVe+qd6GcwuGYXHN0igveNiECwIyDRZU1pNBJnaAzQWsPNyA58ZeA7Wawpnk6J9SgLX1h3H35gXsM1TF1+6muH0pjyO8BZSvYHZETsDa/+GoX6mtf927AEWGaINbGSdvItaxsZbQzdwnQ5tTCy+bHFCYjhc6jZsp1NBkZXdrOb6v3YWpuYMTbvPD8sVo89XE1KSn7RVmNaGsRozNFftclHpcWVnKjvy7isNMI//ewZPwr70rWRXYUG8iq8XgVrDQolhjnH6HHqYczB/7W6yuP4APjsc4Qf1t8jiU8ErSIOLGY/b/7J6DsKL6CNbVlgU/F7Fz6kM6D5JSrLDXJq6QSV8nWcSHJ05EewztXoDX75iFZz9dia3HquHM8MEjebWZrKCMhUWwvqRQIJuSKfqwar4eOfO0B+Me42VYhnaMP7wl0QRKiqcvcsJnd0HeohQ9/yoB3lQPS8alSrmsqHQ7CbV7mmoDBn5FSwve27QjpCkyyJ0U6hO7PfT9Ybl5aHDbUNraDMHiY3KUcoe43ODRe+FLa9/i311dg7s+/Qb3ThmHyxd+iBqrmRmyibqKvP9NDjuOWVswuCAHO6tr4fX6Y8ppEhQyR9RIKSWUzwOBxaK3VkGsaRAHIY614w+kg84mQ/fCTMwZOBAX9+kbtZKWYTLgmglDcSJcOWIQvtizH/7LtThJoTbQw9+NNOFxZgHqVkDVQqE7MjaRod+IGffBRoqCRhBgdjlx3RefYtXcG5lOfXtsPXAcVkeEBFAI5B+w0bhOEOb7yc49+MPkM/HUsh+Yt17y5NNzMu4fm3E2emcH76+nAwKTiu3cha5OCxUdMtarq6sDj127dgXee/rpp/HPf/4TL774IjZt2oScnBxMmTIFZnPskJDTga5JF0OrSPNLV4YjJXlXWDdjY/0/sPDYhVCpR8TdlhR3354X0y6tGUYhR4rhUmRoqBKqeFLHi3uX/s7TtIQr9/iVZ9qDklcjoe3UOXez53WOeiyt+R7fVC/G5sYNaHQeR6Hp4oQTIWoTJQTn6nqwY2hwNuKpfc/ivh0P4qXDr+Jfh/6N27fdC4XMgvt7X4hcnRMmpQPJKhuK9I0oMjSzsBAJKVQnFkOTyjEsuTzsM05fK7Y3vY1llX9ApiYXk7Nn4fy86zAmY0ZUhV0K70hSO9n3m9x6Jv2YobEiTWPB5uavsKGJlrb9EysyGkPCVWiVgsYFGb/5xhZk6K3IMliRpHEGjHsJMjG3NO9Fjb2B/f3Bsc1sEhEPWrL+smIX/j3iRuZRj0eL24rbNr2O4/aqdtU9aDISCSXj3rD0M+hhwMiMrtAr1ZiU0xtdjKaAG6vFroPFRd660G+Kxdzq28ijJhUBC77XHpJUJjkLjIrcKBUk8sRTgm/ktug+4HEp4LSp4LSq2cPjlMHlUsDhUvs15AkZU/Jps+lg98svUn9/eTyobhMLl8+Nz6uWJ66ZYXBArSLN9pAiVCFHTg9KaH5x+3osnn4Tphb0iuoRu10NL8WLR7zB9ONVejw1ZDbzZFIYV0ICnnCyyGJfc9RyBe4aMhaPbV4SFkce3mKBHROFg9ECh8calASNBU04P9u3L0HyaDiDu+bhv/fOwUe/v5J5mamQFJUBodCIaLlKsmzlgMsfax/yFhk37V1ZKawmnnOADOpeKZksmTOAToAv1w1foQu+HLeotMP22/6x0TlB/Svx9MpVUcOfVWGV/DgR71F13xfPOR+fXnwFJqV3haZWycKG5C455E45NC0qVgyrvSmzzCXH4n2HcN3Hn6LOamnXuJega8Yja7+DWetEXgplu4peb8nbTe3V1gMqW6hXyW9s/sSwCsEhQFbhwfc/HMTXm/bB4epgTZMEDM7PxcyBfYP7CFGQCgwc/8OVIib4Upqa3EWSpaJyTyxonFMl8G8Pi9LO7eFwxp6UszbJABuJHSXwYFHPHmtqwZhuxZh/7WWY3Ks7UnRapOp1mN6nBz64/nJcPix29e1TGoGr6JwSKJVKZrhHQjfk559/Hg8++CBmzpzJXps3bx7z8L/33nu4+eabcTqiViTjrLzXsKbmbpjdx/weehZJL+rOCrSMKxolFOpx0HoIPfVD4XJvjdpWO2VaAsRJwYNCno5U4zXIkKciRZWNVnddWFhOPA8tGcmSF59anabSwCs44p5nZrcGFk+kFKaALL0Z21rWwXzIjQ1N4QYRrSJ01ZsxyFgCr680Kv6Xnjt9cujkToxOm4o2txl/3vMkWt3hKwJUoGpZ7fcwKFzI17YiXycE2+XVsLAZycmYpHKgzmHy91ewE9JVFvQwiHH8sbzLlbYNONK2BD2SZ7BXxmdeiUrbfhy374lqd6PbAJtPywz+sOOVu5CucaPBaQybdEQiVsVt/zc/aC5Dji4DxyyNCXXo6YZyzNKAEmM2RqR1w9KanXGLUjW6LFAqtUjRJKoaI05IQpVZCMEfP/7Xjcvx4blXsNdoEnRLr9F4cs/nMDs1LCnb4tTC5lIhWetgqxMsjEyglRd/QR4hVBJS8IsixOsPGfQ68U5Kx+TyalHZZkKrQw23UwmfTQmXQ+xPkiVUGtyQqwUmwCDlKQRyBLxyeJ0aKAIa7BGGIq1GOdTQqEhW0odKu5iwHo+jluOweoLF5mK3Hnhk9AhsrnDjy9LYRcrodyGv3zfHDmJHY1XMrVisWqjVHmjUHuhUCqSpDTi/YChmF49CmkYMReidlFj2kKoL21msffz8lCt6D2JtaHBYw3JwxHwUATqdCyqV15/DEHKQ7dDscODlTRtx68hopax4lDvbWHwzg1bKYiRjhzZC0NJapxxUQoS8lnK7EoJTgGDw68YLEe2lCbjcB7XGw1bE6DjdLgV8FGrj/10eGzmZKVed/e1LCdvKfAGR24+A7hETC7oF7o0ry47FOAoZKB2KvMRUvZYWVotTknHDsOEYkJaNL7ftR2VLK1bvEr8bas6zVZUWObyUvxC7AQyFRXQXlNe2wMNyByKC0NvhYGsDmxT0Sk3H8bI29px8JqR1L4+s2Osf76xgFNVZiB/DFJzYxGGPqx6lB5uw/kA53ly6Ca/ffimyaaLxI6FJ8V/Pm4IUjRbvbt0OO2l7JhjLlAtAhalYPoVTgNJJBb4EeEjWVRa9srahsgIX9Q6vaB+LkjwxHycW9kzqt44dT5vDgRFFBRh+usXa/4o5LTz4hw4dQl5eHkpKSnD55Zfj6FFRz7u0tJSF6kydOjXwWY1GgwkTJmDt2mBZ+0icTifa2trCHj8nPvd+eNqegLv5VrhbH4bPtSVM154wqYsxrfBjnJn7MnqlzGVJiRQL7GLGfXQs6hF7HQbmfIpc0zVI0Y5Fpv48FCbfhDTtkLiFq0IJakH4RYFZMclUWJUXoMlFcbIyXFBwj1jAqJ0bLh1KIIQHAvqbSjC7kCZbsb9Ie97fmh3xCtUMsCPf0IIWtxcbm8QEoVBcggIHrcnYbvHA6iuAUm4K24Ldp2SFs0jXf0v9E/io/E1m3IfLVwY/b/Gq2Xck6DhNCid0CpIRFAIynAX65qhV9+76hphF8YLIsK91YeAvs8eB7qZZKDFcDK8gav7T71vpSGHGffx8AjF8RxZRlIxUeAIhHHEMaoPSiRS1jT3oeb1TDP1I9lf5jA+LCGXPVtXvb7coFXy0+hR/kLDiXqnNmNJvL3rlVocVmyKjZ0PtcVSYg/kSk7JHIM8AFCa1IdfUyh4FSW1I0lDokbg9u0c0wtnvxLxi9K/AqqVSTHqsgjyEUe+Ayq8K5HQrsaqyBbUWIyxtOtgaDHDY1PCRSoxPDsGpgLtJB49FCU+gEFK4EU868mJ4iQ8GCpnS2dm/oYXMXG5R+rTZU4c7tryEMmvsfBtK0G4fGfMA/1CZWMaO3vm27ABq7PFWNmnlQQW71YBLc8/CN5Puw297nh0w7ok8fSrGZvSMqzxlMHpiFjgTt05hhTJc2K0nm1BKrSIDmCY7kvpRLCUkpT569STy2GgH/9myiakTdRSnJ8TiI8lCSoBliZc+eI1ueNNc4iPJjbwMA347ZBQ0Lg18DvLoK+Aho51OHYcMcjJqybtNVUUdMmaoqXVumFLtLElYpfYwQ59qDeiNDqgVcjw//gKMzilmOS7js7vFHaN+3w5ktN94ScEyGavf0CVJzEMg1SSzL7YLmCXOu2RQm+XQtMrxzFnTsXTLYcx+dQH+sXQV5m8MhvVE7ccsZ179QLtC20i/Vb0SMpL+ZPHtHZuchTeOXFfiOXxA1giFzQd9rQyaZlnAuKeSJI5UwJotwJYt6smzQlesHXHGCY0rV+IrnCtNEFcbAFQ2teLO17+Iui+fKJ9v3IsPFm2D0JbYuGf4axyIzZUFVlwUMef4QofbRgb+oB55om5+CHSrY2pSHYg/pU8UpiSjU+ET4j86Cad8DD7F1L/zzjvo2bMnamtr8cQTT2DMmDHYs2dPIA6fPPah0N9lZf74zhg8+eSTUXH9PwcU2+Vpeww+27v+tTq66Svgs82HTDMFqtQXIAsp6EQz+Ww9STtqsb3pnYTzMfKON7vr0D39kaj35I0vorz13wnPY6egRIPXAK0inenCm30K2AUt4FiK/eZFSNf0x4S8f+CSwj/h8+OPtnusUhR7iaYeQzSbkKkaiYtyL8QPDavQ5A56LnWKFNQ5ncjUU5KvALdPweLJM3QWFq7CPLNsjTbWSSfWla13GaGRt8Fg6A+za5v/ci2+z/qdfUqGtY3bEsr50SfbPFro/Am1gcqmCjf0ci+GpJ6LQsMg6JUGpKhysKRmE1Y37ITT50KeriyqgFXUtl0VsHpseKP0XSbHGGwlxcsnw+mVI1llYWE5lNhL66cOnxJ2nyg5KrWHjHOdQHJ4/i2TIh+bIMhZTL6YEBxcuaFt0aRA+r74mhdfVH8KnVKB8wsG4kBrbcKwmjZfLVbV74SnHaOTtpGqppoGVXE/IZM8+EqgW1Y90o1WrD/clXnnJWpsZhSakrGrpRwflq2DzUXr12QYidsIbI1Co33kvZcj1WCHzamCi9RcaNJlysCNvcZjaGohHtm8GD9UBwt9yWQ+mAx2pBttrHgWbafFohWv724ZvOZI9ZTgc69FDVB+Qoz8WBrDSTonkvThKxgpBjva7FqY7RqmyiOxu/UYbt38Al4ZcScK9OExrMX6PChlCtbnXp+MhbA5vaJSDanzsMJfch96morh9sU3yiRc7SrW+Ps0wXsP9r8I163/D1O2Cp3okYGZqtXhoQnn4A+rljKpQ2k8sZwSkwPJJi9u3vwKey3JJGcTKpLelPqNjsvuXxWh1QTaJhm92jQH3K2amGuRgRbIAIvLhc1VVRhXVNyh4+wdUYiNVYqlCr+SV1/amVpAhacF/966KbaNRpdsJ6Cw+5WCSBJX5YPO6IqZwExVfxU6B9ZXlaNfaja6p6TjkSHTcOl3b7JqvaETNam+gKxFC1ARKrm/iFfIKhU9HZVdiGfHi6uDBEmj6rUquK2eQE5BJF61D1qTAncs/hLN9eJ4bS/MibajrFdAbpfBk0wJx+KKGf2taFNA7o64R3XQwA9ce0K+ThNJU08dXNtcgXbRZYDCWaSOJSPXkUYnmBi+46BTKEbitNwhRHv/IxJaoaI8AwEqixj2s7eiDisPHMV+ZwP2Nzewuh1TirvjrIISFtrVHtuOVuLPC5aKQWcd7YfIBQoSs6D20KpyyHs0Rkbmd7xC7UPXTcX1T7wPm8MViJ93s7l7+w2j83BsSRFykn78agbnl+GUN/DPOeecwPMBAwZg9OjR6NatGwvFOeMMUTM6UtucTvpE1dv++Mc/4u677w78TR78wkKKMf/f4rW87Dfu2V/+f0UvkuD8Dp7Wx6BKeTLqey5fx/IJXD5LzNcr3Zlo9hqQqrD6PdGhVz9RcZ+6yyYocdxJ7dIH3UZ+mpz7sKLqbkzNfwMZmhI0OEWZznjkqlvEarwKC2w+ObbX3sX2MUADODXpSNWfjx7Jc1hYxRP7/shCOmKFdZABEC9hU0SGZrcOeZpmtDh3+I3eWL+9wDz+iZHFLDhFMP1vhQyDU4Maz1d1mc4exOLjd6PS1tBOYrQeT+z9J8pt4Uot9Fwu8yJHa0OOP4NMCl3QyD0wwYkmt4FVDBbbIn4rkCLmD4uiyRE5V8nooxAps0fLfttI4z70+QcVH+HO7nchQ2NAvdMc04RiqwZqF+aVfoPuxhzsb6uM68Ung2Rkem8UG3viw+OfBGQyQ/uFJiChCaMpehu6ZDTgaD2VlRTJ1BnwztEf8OLBRQEdeIVMD6PaDbWCDFs5ivS56J/UC2vqS2Hx1ECp8CFJ78SglDzc3vM89E4KntNvT7wcy6p24U/b32deQoPaycabkkJ4/E1LymyA2anGoVIKB0wU2iawmGzooleCjFoXq6Ybi2S9QwzT8Bu1BPWN1evESwe/xJODrw/flkqPSVkj8XXlZjQ5pYm/2CYKhSGDP1+nxc66VmSbdLC2OFjoUKx2k6E8MrsQdZUtaHTGrxhKIVLDM+MbDlSU7L9jfod/7vsaK2v3ihWGFRrMLByBq7uOR4bGhDNzu+Gl3avx0ZGtLI/AmOxgajiuENUZ+q2UChfsLhWT15SQKwWWE5AqT8fcvgMx/8A2tDit8Kl9kLkUMUVvQgPhw7zyftbWHMOb+zZhU10FG3Djc7rg+j4jMDSzAEOzc7GttlrcFq0cSL9paBeyzGUxRiZq9dQfesIqy/oNafpPneqMq07EXlN58PHR7fj0yB68PWUWRucW4ZPJ1+O53SuwiEmaiu04I6sYs4uH4d0tu7D++HHIHAoILjlUOqAoNRlDsvNwcbd+GJ1TFHbPo+eX9O6H93bsgKLVf0+UpBdVAtyZblYwyi14YKbkg0LyzsugalCyZNxE0HbkFgXUkrJQDGi8uWlFpAMRooFroSLSiPVBlizHmQO7YsWOI6xiKzPuA50Y8q9cYJ58mY1UnOgY/W/TPNwpHrO4nhwuv8n2TTHw6dG/uydVwHWrF7LWsaKxkOH9AzvROzUD70yfhWyDEXtr67DiSCncXi/6ZWfjrO4lrD4EMW/5FuY1ZwWoOriwFFktV1wRFUN3WAy//16UotXi3B692O/6w95SLFi9Hfur6qFTqzB1UA9cPnYwclKDBnmX3DS88+iVePPLDVi0fh/cHh9kCnE1vj1/tU6lxJ8mn4VOhxBu44S/3jk45Q38SAwGAzP0KWznoosuYq+RJz83N1jQpK6uLsqrHwqF8dDj50QQnPBaX03wCR989g/hU/WFTHMmZMqgF8qk6ljMm0kVO0a20dWIHbauGKQ/gjSlNTz5lXyf/ouaNRCMFz3AKUSjybkXdY4tGJ85FwvjevEFGOROJDOdM8AONeyk3iD4kCy3MUUSLRpht7+NVpUMPdPvx6Ss6fi+Lli5ly7DlMhLF7dUtQdaOVWFlaPWlQQzqxASuUcyK8lITpz9TmFDrrjJxOKW4sW20ypAcogKTyQlpkmotMWXIqNplErRB8dssWUBNXKXaNz79bHD710C0lVW1LpMYtWBGNcf9llBBruXvLxypKgpNEUHq0dcu4433yUDfHXjD7i6Z3+8sGcNPH7VF6nVNFmgiq/0/TJbLa7rMhp7247HPU765kUFI5GnT8PAlIFYXrcCW5u3os3dDIXcy37/WG0pzmhkBj79kgMyctDgbmLGPSEZO7SS0+qk9mmhkivw2vDfMfnUm7oDZdY6NLssyNQkI18fO+Z0ct4AuOHAM/s/QKrGHtXPhFHtYhLgwVqosSAR+NhHH+m5jyRJ52D5A5HfW9e4B/P2b8S1vcOLBF2UPwXzj1KSebilRLkLFqsGO5qU2FH5jfiiSizMKNAKQYSRRh7Qo85yWAUaD+GylaFGWZ4+GRNyw2tFhFJla8adW+ah1FLHJl4qmRwOrxOLqrZhSu4AZuC74cQ66yqkZzrh9EiT5vD9SRNYndoNj0esfC29RiE7jwydjiabA0dqyTJS+5Vk/MZ0aCx6RJZrj/Tw3/7l3evw9PYV7Ngkz/iiioP4pnw//jJyGp6eOB2XLnwfrU4H8+AHthvWee24YKW3qFspEkNBHvp2VrroONVuuG0K3PL9QmyY/TsUG9Pw/Bkz0eZyoN5hQYpah3StmNQ+o0sfHG1uxqHGBuhUKozIy2f/hkIa8N8dOooF23eirLmFFShSyxRwJXsBBxm6YrKrK9cd9JQHTgLAZxLgUnigriEV9sRJl0zZJmITkZ8Z3aMQq2vKg6sCEXH4AcOeLelFx5kTVVYzbrp8NG69aAyuePtDOLyOuLMmqikgU8mgsAkszGmo8wAAON9JREFUrCXsGOQyODO9UDXJw4xon1ZgSkoCLdiRIe2WwWUUw7U8BgGCS2BhM+JXxPYeamnEld9+iFyXCevLj7OxRRMqkpbMMhrw4sXnY0h+LtYcKIVDK4BS0bz+HA2B6mTEOlB/joA8nvSqtBIhk0GnVOGNC2YypZ/HPlyGhRt2hynbvL18Cxas3oH/3DITg7oEbYKCrBQ88ptpeOCas2G2OrCqvAwPfCXWJEjE21dcim4ZtEzSuRConkGM5PWfGpZ1KnFaxOBHxs/v27ePGfQUk0/Jt0uXBitvulwurFy5koXxnEoIFDoitOeJF+BrexxCwxT4mn4DwSsmbSaruyBD0y+8smIYMhiU2cjRDY/5rk5OCZs+1LmTWZkkJbziQ+YLC/NwsvlegthpKFBhWY5upjNwbt4DrOhSZPv1MieS5A4xwTHEm04hO60+fZhxur/lXaysfQPZag0mZY6HSWmEUeFAhsqCXHUrRhkPYZjpAPrqq9BffxyTU/didNIhqCKypRQ0GejAEmi+prmdAAQZkpSxDTTq+wEpE+J+s6tpCpuIxVI+Ysa9XI9dZnE1IhZpKn/SYax9M6NfYJr5wf6LvR3ytg9LHY0/938Gb4z4O4oN6Qn7hjzIB80HoVNQgSAbMowWJGmd7EHPM00W5uWWGJLaBdNiSDtK7Rqd0QuZWjFWs1BfgGu6XIU+SUVMhSZU9Sfy+PQaNztGev6nERPw/rE1CasMkzGzsCI4oSo2ZGFwate4xr3EOXkjMKtoiP+mHLstHVF8ioVW445SLIqEnHsGjSvmfp/YshQbInThl9SQYhgVmPJBp3SxfqR+Mls0cLpinK/Ufgoz8R+DFNetMTiws+0YFCoPq14rEh4KkqzW4rUJs6KKRNXa2/Dm4VX4266vMGfVSzhmrg9MvMjjT7S4bLh14xtsAvBxxSrYvS5mUMcy7kOPmVApvSFVa8WY/By9Ae/t3xFUd6L4ZIp5Z4WhJI354KbpOIdk58LppnAmsU3ksSfjXmxr8FhZ9V0AD29cDJ/Mh69mXY0r+g4S9ftjWqsduLgw403qzA6OH7/sYavLia+PHQi8TLKm3ZIyAsa9RNfUVEzr3gNnFneJMu5JGvW3n3yBWxd+ibXHylHe0or9dfVw23xQuRQsAdVjFOAmPf14PwkZ7WTUUrJq4mYHlW2Chx/2uHviWLx0/gUYlpMXnAxLc1T/gzztJAXKin/FmSXQV279/gsUZ6eixedsP16c+lQVqYQEyN0yZrTbi7yw53ngyPHCVuiBI9/HVjKojeoGOTwGUaYSCop9l0HToISyhQZfcFs0lsjIX1stnqviOBfHXIPVhmsXfIw1x8rQkuqDK5kSmgXmLWdGvBBjNdrfaSG+t/BDYgkswX1b3S7838Z1eHHZWmbcs9dD4sZpQuVwe3Db65/HVAPSqJTISDFiRt9eSNJq4t7xaZic3683BuVFC5xwTg9OeQP/3nvvZQY7JdRu2LABl156KQupufbaa9ms+c4778Tf/vY3LFy4ELt378bcuXOh1+txxRWiCsepQ4IMnxACp6lrLYSmORD84Tmjsh+AXEb198J/MvqbHmdk/SlQKEvC7W1CadMTyPI+i3OTt2CYvpR5scmAibxOhsasJ8ItiMv7fZIn4daeH6G7cXRAVjBJbmee+9jhiRRLKoNDUMEjyLHPkYvt9i5YWf85VtbNx57Wr2FSNEBPHiS5B900tVCHyHFK7c1StWF0UmiNANG7TX4RD7vDhl886b5u9WrQ6DEiSWlnxx8q4RlsnQxGBalkCKx9kZP4idlXwaCU1oejUco1OKfgBRj9qy2SApf4ngnT8p9HvcsZN9TIqHS2e+/SUlx+IIo9Gun7JfpRyNCkMwUakzKxhrj4PTmL/yZjn6Q5TVone9Dz0DbR9vJ06Xi4/yXoZswLyjL6b8Qenww/1B3EH7cvYNVsA+1WUKhQ4ksNxZjnGZPw9tRLcUZuEbY2U9Jo/BUZMozoMz+GzU07EuYbJCfRnTaRkSNAqY1O/OzoxCDW7yyOFzle3xu+CrS+YS/S9WbkmszI0NuQqbciz9SKdIMt/rbJyPcnF4/MKYAh2Qa1zsOMA3pfq3VDq3UxY5pC9nL1RtwxYDwWzbgJPZMzwzxZ/7d/GaYtexYv7FuGD49tQrPLCYeXCpSFnyP0e1C4zgdl67C0hnJdYikJxYZW3pRKL1QqH1PPUSoFXL7qNRxxlzMDXNqMTyPG9YuVBII7l/kNnO3l1TjnzXcw4T9v4L9bt+Pt/ZsTThJpIvPfg1tRYErGXydMwYTCktit7cjv6hdwYn3hoWqw7X9Fqu5LBfF2NtSgqs2Mf6xejfPe+S+mvz0PDy1dhv31iSpsB3lx9XqsOFoaNpmRWu3x+qBxKZAq08FnDNHxjwXl85jiaKr5ZUEDC0CScyjGZyf0KIFJrcH7F8/Gq+dciBFZBTCo1GF9P6mgG3TxdNwD1xYBh1uasLGGwhrbQ7yyUyiLy1+0ifbD7kdKGVTNCjb3osRoL01kpOaQcd1Cnn0p7Ef6R3xChr7CEn3DJMM9EjKuKUzsts+/Cmr3+094tj2/kR88QIDqP5IOfjzvvVtHnubwrvm+9Che+W5D3J6gdrTaHFi8PThxjIQ09J86bxqzoyIn9TRhTjcacN/Ecei0CL74j07CKR+ic/z4ccyZMwcNDQ3IzMxkcffr169HcbEYwnL//ffDbrfjd7/7XaDQ1ZIlS2AynVoJITJlz+g1ylifC1x9qXJhBTy291DmK0aldRMytMNg9VTB7CoNGAkZ2v4YmvE7ZOnCvaoubz12VV8Cp7c6EO/P4gipDDU8cDFTVh4eV8lunfFviHRrTVF3DfytURhwUeFjcHrbsKxsOlp9nnZv6JTMe8SZDXOIUoxkDHgEMVAxU9kWV4qTjoEM+mxVG2rdScxgz1CLkyCdzAU3xSn4oQTVKncqPCx4Uez3LI0FTS49bCG1yWmKREo5RqWN9Qsolp0qkco9SFWlYELWFRiaFlRqisdR6xFsNbugk6VDp3CwnnD41LD41FDVL0aqKhnNrpbYBaDaGxfMsyxjxasS5ZdQUnKpJWgU9E/uh6PW0rgGLRneA5L7YXTGAJiUelg8tpifJON+fMZAJKuN+L5mD/a3UYI7ebaiF+qX1+7Fyrr9mJgtakAPTR2FDU2r4x8b5OiuH4SXZ90SuNG0r7bdsc/EwuaNH4NOR5OZ0Ya6hmT/oUXnJBDaZCc8blHvXnJNktH7Y6D92BxqNkFaURmctDS7WtHsPciqHEeeA9nJZlY8q7wx9tI5yTJ2L6zBUXsdFCGGFTsiGUkPk1FNeQ1yDMpIxe39o2/kbx1ZjdcO/RDxqtgflNRNDVeGGL9kVCyp3gE3E5bv+LFTgnRkSDV7T+GGzuSFvZWq/lBYlIxF64jfY18Uwyo8fvUaapMMqGmz4PFly6Ep8CWcJJIhzOLy/ZyZX4KVVcFE7ADM4y3Jr8YOrxA3KMV0y+ByKqHWxirIFjxlSIaVoFWQlYdL8dH6PUz9RgppOdrUhAU7d+KRSRNxzZAhMY9hd3MVNteX483NpMQW91BZ0agWtx1IvMAlti9UopTCYtUqGDRqTOhZgom9uuGWjz4Pvhll9wrISTbBqFOz34ji0ad27cEeRK3VghanHTkGE5I1Wvx37zY8tDa4Ah+9TdH43Ndcj4F52dhdXZcwEZh+qilDujOFGFrJcLa4WNEw+g5d51V1CvhoJUNPK0UyqMmZU0fWenyFIpZYbJHDa4xQwonzeSoCbHbGVzBiY5eu5VovVC1USVcurhr4x47Uj+xfSvw1hk9m2euUBpQkQNcgfT66STQh21pahQtHxi/6OblnN7xzxaV4YdU6bCwXQy8p9Ic893dMGIMcU/xqvac7wq8gROeUN/AXLBCrWMaDjB2qdkuPUxmZIgc+9QTAuTKhpy/0BG3yyrG0+l3YWYJUUKFBKTNieMYtKDSOhVEVzD0I5VjTk2HGfWD7/jhXFbwQFcTFPeqUueiqn4DD5sVxVfGpDfn68djf8ikc3ibolZnoYpwEjSIJQzJ/jxW1/2yvF+ARFDAHSvQFCfqcZP5k4PhbodXIAk0TmyxQ5VxSjilQNyFJ4YTZSzrwKpaQetyV7lfzEfdNUIx9ltYMnVyFs7Jvwt7WjdhvXhWlgEM97vSpMSPvTvRKSlxtlDC7W/BBxb/YEdgEFWwRRbu2t6xCT+NUHLFGa1MTFDtPaj2JjlsrT4YsMgsrtM0C0GA3QpceNOjOypqAb6oXMa3/WEY+vTY1ezLUciXu6z0Hj+1+k/VUuEIKqfsYcFO3C9jfn5RvDKh7xLrL0Q350/KNAQO/X9IgFOq6oNJeHiVRyiT7ZHJcWXJZmBdpeFpXJskZaqDRJChZY4dK7oXHq8TQtI6ppUSSpclAlSNamlIKLyAt+G4ltThSmh1h5It9oklzwCeXQaHxYGZJV6yrroTd7YWWwg3YzTv0O5F7iHjFbze2tBmC4SN+kYDPKsnwiR1+Rq+lm2yoNxthZ5OM6HPE7vXAHSNnJRTa3+6WyqjXHV43Xo8y7iO+65NHhcfZPC50ScrAMWuNuJIgI4M1IlA+bP8JJkX+lQh2ufTIwxPT6UW/EBnJU0rTPdb9rE8F1pb21qhDx9wl3Qbg+e2rYfEEVVukdjDlGocYMBT1K9K8wiFDklqDMV2LsMNWiUqHG0q1l0l+hk1a/F92kBKT1Cc+0oxvi5qwSp74x79fjr6ZWRheEMzFqrA2484NH2NnYw2r1SB3JxYzlyYe7HbQjtYATZikvhlUkIN5cy+FOsTTPrVXdyw7eCSsj9jKCs3DNAKOy9owdt5rKElJxc1DR+CyPv0DTglKTKWHRL+MGLlyEWGIdD5QAa+5o4bh7oX+fJNYX6FVHj2wqIxWeMVVHVLAlZRz2dXKR2o/9BAHxkMzzsK+43X4eM/exH1CjhUXxHAe6bU4qjzBncV7W0ycJePdlSXAneSD3CYHiZ8pHOIFgbz/pOzjJb2LOOe/1wB4WwUWksQmCOKFmyUVUwpcdKBSNFQwi3xif5h2JrK0BtjcbmQaDSx/g3P6c8ob+J2JL9qyMFGlhEnujimpqIQicCF0CjIstqXCxQwcMm2Cho5HcGJDw0vIM4Qn5Em4vS1otH0VZdyHx3STZ+Y85BtGwqDqghTtSHgFF5pd5UwxJ3R/TCVf8CHHMA5flF8LH0tBpBUALzbWP4eh6b9F39TLYWqcD7OHDKd4lxUBDrYuGu/q57+xtOPNZh5MdRsrOqWReZCssAUmTfR3q2BAi0eXoIKvDHZfM/OyH7asTShvuajm/Q4Z+Jubvw8LS4neowyt7gMo0hegwlYZZWyTSo5B2RLzu9J9lNpsdadDT3HYsmiDjoylGpsRZ+cEqyemqVNxR4/b8K9DL4YZ+eS5p+c3dL0exQbRUB6d0R/PDL4V7xxbhB0t4k2SZBonZQ3F3JIZyNSKIUpltoZ2C2OVWRvDJgi3db8f/zn6HI5aD7F90zgnnXe9woAbut6OPF24itUVJeOwoi54083QWlBgbA6o3tDx77d+jA2NOoxKP7Fl5Kk5Z2LesY+ijiBoV8iQnGTHgL4VaGg0oc2iY28ajQ60QiXGDvuTu6/pPgFX9TDjib2viF41H8XIRo9xMQ2cJkXBvBfC45GjvjmJaeOTQTUwPYf1DRk139WtTRhKRPtLM9hQGcPAJxlQFooXmLbEH+TKkOqnEpsaSJkoutpwxF6Y8R4syCYgU2vERQWj8fyBhQG1HFEWNLoNkYpCsfCReo3bL6UZ8n32nP5UA4JbYDHW4utiDLy8wMaMJDEMJs6xC0CT2QGHhyoVK1kOwrzJs3HNsg9gcVM4XTBcwacQcP2Qofj+6DGUtlIuj0iu0YT7R47HxKISmDQaJp9I439LXSVe2r8SG5sPsToPkmOF+ot+c5LehNvHViZkzsSzENr/m1u3Bgz8JqcNs5e/hZpWUk1SicmZCbfgP1yFwPT6fVR8Kt5wIEWuNjm0KiVmDe2PuyaPCzPuib9fOA23fvQl1paWMw89TRLJGI2sr3espRl/+H4JDjc14sFxsVVY+qdnI1WjQ7Mz8aoPhU8VGpOxo7Ia8zZuY+eQFHYu/U70G7HFWvGWKfZLPCPcz1trt+K6scMg27O33RCggJqblPDqSLDtE1lc9IegupMoRyI4QWgvMoyOzyNFYIb4sUgrg6kImX0Y1bMo5ndrLGb8efUKLDp6KDBRyzEYcceI0bi87wD8KhB8cVR0eIgO5wSpd1Zit+UAjsp6YpSuHkO1jdDJ/aEzzDcuGj0SR1xaZuTH8wSSwb23+WOMzg7KfUo4PMcokrydFimQr++BgqTLA68oZVqcnf8S9jTPw6HWT+HyicWGMrUDYVAV41DbVyEtELdPk4JNDf+CUq5F//Rbsa42sUa+jaqUxEU0Asj7TisMcavlQgGVXI0kWWvUZ1QyWvD3wcJCgGQJL9brG7+OWfQq2BoBlfajaHTWIF2TONHouO1IO1HbAmqdZXiwz5u4efOjEGANr17r0jPloFytOUxej25i9NRNuvekzCh3o9mpYyowgWOR0W+uwpHWTEzKHoIiQ/g6/ICU/nh60N+wvG4ldrXuZhOR3qZemJR1FnJ04cc1MKUb/jH4VjS7zLB6HEhXJ0GnDFecSlLpUG2PPRmRSCYdvxBMqiTc0/MRHLMdwc6WrWyyUaTvgsEpI6CSR4+JwaldcE+f8/DPfV8hQ2dFsakp7HgJu9eKeWWvQCFTYniaKJnbESZnj8Pqhk04aikLTFSiF8HBKqrm5rQgF8FjFVqTYHaK3lIyyPN0Sbh7x4vsJslW1+Qkb+mCw6NkuRzS9oakdseswom4ZsmnUKkpCV2A26OAkynqiJ+hbVzXW0yUJ/lCOymGtEMwQTVazYf6ifIoqHpqPGj1ZFJO76jXbd6O5QxR8n6odTE+qwfOzRuJZTXbsKe1jBnbFEokGvL+vmZhZqKxK30vHm6bKvEExR8LLQ+RIZTl2gGtjwmziAZ+7MkFUdtqw4f7d+Ga/mIIzJDMPPxw8S346MhOfH/8CJxeD4Zl5ePKnkNQkpSGh0YJ2FFXg2qLGek6PUsijdREp3GRazRiXcNREpmNCN0KtkOh8cJrVwY85vEgT/7a8mBdl/lHNqK61QHBH7NNnmCmziIkvt55VQKrMuszhFSXjejLSbndcOekceiWmcbCcmJB3t23rpiJLRVV+GrPAexuqsWW5ui6F9I59fr2LTivR28Myo6+hlI4yC0DR+LJTbFXi6gvz+nSE0Um0bnwpykTMKakCLd+8iW8Hv+1myIFqYulYe4/LlZKJEIWM5LKljZkmwztGvdshUKS/ZSq9cbp7/YCcSVpzkCsP83z1P4E3MAKYLsNgsIWnjMQ+pwmt+pkFSYP6B711TqrFRd9/B7qbdawVZgaqwV/XLEUjXYbbhve8evp6YoH7pg/FHu9k8A9+D8TxyxitjtpzS+35WK5LQd91G2YnVQRM6a63JNYxpO858csK2Ia+HJZR2pPU/xt9PK9Uq7DoPRbMCDtBji9rVBQYq9MiQ+Pnpdwa9saX8OlXT5FlXEtyiyLY17mjDIHrCGFvEIJ/XSj14ScON5s6di1qrGA55sorWl6Th59AeFFbKK3IcDusfp12hNL2lk95nYNfKVMlJZL5HGlfZmUJtg8qWiwq6BVUsKzj3n4yBt81KNBq1uHXG0rTEoX21KTS4dmlwElRtHAzdW3wWlWYFdDDpI0TubdI49xm1uFyTn98Pigi2PuO02dhksKLmaPjpCqNrFHLGbkDcbBNr92eAzo5zgnP3rVg8Z5iaE7e3SE2cVjMDClAC8deSzBNAxYWPkehqaOZCsFHUGjUOORfnfg/fIv8H3tGlaoLNjy+EgFpgjq9yl5fXHQcoQVhguFlHQMajebnJExS5Kefxl4DfRKHZ4fdxFu++FzMTHUf3MVcysEzOkxCBeUiKsvKpkSWrkGDlIOSUC0B1xg4ynFKOYZUDEsq4sKpUUbuZKNcUVJ9M28iyHx+SNB27e5KfkfzJC/sssEFu717JAb8dbRJfi8cj1scEIh90AmqGF2yOByK9jkRqVpv9SpwAonJfaUhim6qL2QUay0/z0Kk/GwCY50/CHRyqTjLsjw7p4dAQOfoIJdN/UbxR5Ru5PJMDg7lz0S8WXF7sBKTKz2s5wapQ9epmgUX10r0A8hJ9v7h7dBCK3XQZMlg5dp08faDvvt/QYwhXxQtVlvshdCSPEkhSBjk8s/jjirQ0Wc6NiGF+Wzx8UfvRcYw7Ggc+W93TtiGvjETQNH4rilDf/dtz0gZyr9e0ZOIZ45c3rYfnUaFVxkFUf4BRJFeyWiW0Y6+mRn4mBdQ9xq0CSnySYQtCrgkgcmZZETCHrWJzMTdXYbGm22uH3i0/pXUfzXiMA9zD9fphWKRKHgLOdEWsWK+QFx0hDrfvTSlvXMuI93rP/cuJbVUKDVqc6IWq1m6oura2KHexH0Pn3udIcb+D8T0SeaDPtdSTjiNqKryhoVJkJaL+3d/Lz+pNRI9Kqe0Cjy4fRGx9aGkqqfHPc9uUwJnVL0BJdbVsIjxKyXHYBi8usduzEm+zFk64bhQMsCtLopYU2GbN1wFBlGQytXoM1txyfV4vJ9PBo8RqQorNAidkx69+QrkWOchQWlW9BVUxvITZKuV1oKgQokDMviGtup6izUONtXqUhWt5+Z1jNpCHa0ron7Pu2vp2kIu0F1N+Si1nYEVjdNdgQY1U6/spEMjS4je4TSw1gX9ncXUzPy9G2osWeij+lcGFVaTMvtjx5JP4+c2YUFwzD/2Bo0Oi1RSYzkESYt9PPzh56UfXnQCF87ClTN7iYctR5Ed2O0JzoeOoUW15dchjlFF6DaXodGZwueOiBWWW0/7lyGdI0R9/efiu/rVkMhU7Bwo0jYOS2jYDcPah2NKDEWYEZxb3wxIwVv7tuMpRWH4PZ5MSA9B3N7D8eM4l6ByT79OylrNL6tWRl30kgfbaLwIelvOvc1LmSkWKD0J0pSDHiq3oZmmz5kO2J0Lk08nh0+G11N0fUdeiXnQK+kOHZpy5EIbLJjULlgdWgguBQ4t3cfZPglUrUKNX7b4zxc33UaKu2NbFzkkwLTpsX44PAOCDIfVBTX3h4dkZwM/YjeGzbpp8JZKrkHXorh93u8KQHZa1ZCICUgimc3iyuVJ5MGhyUkTyU2rI3kfabcDXd8TzONt1EFweJjTXaa9IVPHHxJXqbhLnNS6KS4rVCdea8m6DUmI/+OgWMhF2SodVrQLzsLM3v1g1aZaHU1PkeaGxMmvpIhebApGLIXCU0Onhg7BXN6D8SHB3bjuKWVTbIu6tYXY/PCC3gRbY72QsdEqKQHTXkSkazToiA1Gf+8ZAaufPtDtNod4ZWEZTJ0SUvB61fNxMryY3jou2XsdQoF8tE1m077kEOfM2Qg7jtrPI41N+PqDz6B1RXM5wj8LioBAv0eBP1mEaFnNCkcW1QMk0qNRYcPxRxBFP/f3uoExdNTwnlRWkqYnOqH+3bHNe4lPtm/p9N68bVaLVNlJEn1eJBxT5873eEG/s9EsaFP1Gt0er7fWoRpxhoM1baEKFLIkaHKQ6O3MSIWPggF9aRpesSXPUy5HUca/xCnNXJk6M+DVtmxUtdOb0cr6ZrZvrsnX8geNAFhwUdS0LKfKjewriHcyJfS5BQyDdyCE0ecOchRNSNNQZMfv3KJIgM9U65Dt+Q5ogcp41asrHsdGUoLjHJxAtLm1bMJQr6uFyrsR+IulpL5f3b2HByxPgGXL772fQ/TQCSr2i/yMTB5DBZXUw5Ca8zfjPZ3ZuaF7PnMwrFY33iIGYu0F/KwUqVYimUOy+2TCSjUNSNVHT25IuOqq6kRf+ifeGXlf4FJpcPro27EPVvn45C5JiBFSMZ+N2MWnh16FUyqk3NxtHg6NvbM7o59Lpah39VYhBJDIYr0eaiw0cpE/Juf063HJcVD8bteE5ClS2KGLIXLtYdWEVy56p+eg3+Oa/93oyJXK+s3MmWjKFlbAWhzauAjJRCNG3f3nYxBGZl4aM/LUdtRKXyspoHDrYJc0GFwak8MSSvCRYVDkaaJL6NakiRgb5NkKIY2QBRqzdBb4XUp0Hw0FUW5MtzZ69KobWgUKnQ1BieeT46agT8NmYTX9m/EZ8c3obGd361XVhr2H2+L/4uQc9off8+IlZAoJ09++G8UWsgs+X9Q9DBLZ0po9IYW0hRo1cGWoOaDIGDusOCEWadQw4EII5cM93QPfHYf5FZy1fsTuJX+uHRpwiOTIVWrxc0jRkZp6f9YSP7SnMBYol2bOuAN7ZeejcfHxC9QKVGUkhx7P9SXIbcaKXRJjIiJHhjUF1eOHAS1UoGuGWn47Oar8M6Gbfh0+x60OhzINhlx+bCBuHLEIBg1GszpPwA7amrw0Z7drEItGfi0P1aWQS7Dv8+/AJO6iipz/XOy8e3112D+th1YuGcvS2Z1yTzwaXzihI7a65QxhZ/INs3s3Q9PT50Gi8uFWqsVW6urwheg2osBipDCDIUKutljVHsOawNkOG4WCyR2VrRabacw4NuDG/g/E9naYnTR90O5bV9Y3LcHcnxtycNyaw4mpvbEqPSpgGogenss2F92bdztkRHZN+WS+PszXga3tx7lLaRsE7oa4EWqbhK6pT/Z4bab1B2tpBs+YVDIYt9AJmfPZVVh19R/ArOnMfDZwSln4+yca9DibkCZdQ97PV9XAj0lzckoCa47ZCGThTGZM5GhLcS6+oU4ZBNDoLI1XXBu9oXokzQWb5Y+hGo7SURGG2Cj089HkaEXLsq/Hh9W/DtOcSo1zsu7pkPHTp+9oeujeO3o4zB7mgNXYUn9aGbBzehqFMMvxmT0wfTcIfimUtRjp09ZXBqmDqNUiKZHD1MSklV7oSFphRjQdnO1QcnSn5t8fRreH3sbtjeXYWuTKO04NK0Eg1OLE8p4nihpHVg9IVLVP63SIrX5yqIL8eT+aANZYnLWePzmjEuZ0SoxKn0g5h37PP522RjOQY62YyEvoaRrUvHUwPtx59Z/wAtL4HUK/Wm261BnMTLvbo4xCTf0Hs1ClIam9sT25sNRuSW0mqBXu3FXz5mYkdcxz9z47H4wezagwa5hYTjSmNar3EjV2VjhsvpWWsaX457B58CgTKzYI2FSa3H3wDMxvag7rlz1Jtw+Sv6OZlhaEZ4fcTnO/ei/qLPSalGMTzEd8ZDxRko37Qw/Zvj64+Kp/2b2jC8j+GO5sHAAntu9PGEbfJQA6pFD3hasHBtqu0lhKveNG4cxRcFkyZFZhVjsV4oJg1Yx9ZTw6oNGroCziQqkURKs36Bkfa/BvAsvOWnGPXF+z954c/uWuF5hevXcHr1O2v56Z2Wib3YWK+QVNomScial2x11rxFQmsNDaaQE3TNKCnHLmUGhCjLo75s8nj3iXSOemjwFk0pK8N8d27Gnrh5apQLn9OiJqwcNRklqatjnSWLynjPHsgexu74WFyx4F6DkXBahE3ug9vRXYzaq1Xh/5mV4etUqvLFtSzD5lnnv43+ftZXuIVkZyDKFT+CNKnVYVedYUF+l/AqM318DMqEziX7+SKhwVnJyMlpbW5GUlPS/24+7Ea8ffRDNLgq5kC66ooesUN8bc0sehVoePLF2Ns3H5oaXmTEXNFLFs7xn0vkYm31/u8aU01OFOssncHhI8SAFmYbzYdQMPKF20xBZeOwymD2USBVruMiRrumJ84rePKHt+gQv6p3l8Pg8yNDkQ6MgTbAfB22LPKmKkIRNp9eOZbXzsaVpGVsVIJKUaRifOROj0mcE+m5nyzp8W/0eGl2k7S7S1dAPF+Zfh1zdiUkxunxO7GhZjf1tW5iuf76uK0amTUaKOjwMghJdP65YgzePfIcWF60giG3pbszGvX0uRJFRh+cP/C6hN3lW4d0YmBL7ZtRZoH56ePedLAwnFnT+ZGtz8XCfv5+UicWq+k34z9H3WYIrrUyQAUH7ODd3Iq7ucnHMwkl/3/cG1jdujxuOcW+v6zA+c9iPblOpuQFXrf43BJmNaWzTio9PEEOFyKh/fczVGJHRhX3W7LbhwV2vYl9bGWsrraooIIcXPlxZPAXXdjmnw/1UZq3CndueZMdFCbFUjIzyC2hFTSrkdnhPEVLVKfjhuhuYosqJsqOpAo9u/xKHzMEwNL1Chd/1Ogtzu49hbS1rbcH133yKIy1NgX1Q5dB0rR6eVh+cDrGIl4gAWRcrZKRSI4tjWDsU8Jg1rP+SNBosmjU3TLrxZPHs7u/xnwMxwvakInj1OpYHIOVjXNy3DzPAqYgRVeMdlpfP9O+H5eeFff24pQXjFr6SMPn4jgFjMS2/F97bvRM762pY0bNp3brj0j79kKLt2ESso1Sa2zDtvXmweyjvJPwcoD6mWO4lV8w9qZOKndU1mDP/w7C6AQH5SPKQ+8PT6R0FhWY5BCRBw17okp6CK0YOwgWD+kClaEcz9CQzd+GnWFNeFtfAJg/+mt/ciGxjcDyanU6c8dJ/4PR4I1au/AZ/nH09N3MGZvSLnlj9dtEXWHL0cEIj/9vZ16BPRnTo3q/JXusMcAP/Zx4wDq8NW5u/w7bm72HxtCJVlYnh6dMwMHk8lDHURCosa7Gz+T3U2rezv1PV3dA/dTa6J3X8Rn0yqLFtxdLKO/2ewVBtcgrBUWF6wb+RoY0OQzoVoBCcBmcVU1vJ1ORHhQxJk5hqxzHYPBakqbOQpml/qfhkQPttdllg97qQoUkK8w5vbqIkxZf9icC+sAnhkJRJuLjgtp91DPxSkOoOSWwS4RVMxf9u7/EAeplOnhfW6XVhY9MO1DoaYFTqMSp9MFLVyQk//48Db2Fj0y5mTLMEN//E4PqSi3F+/sSf3KYySyNe2LccS6r2MqOdfvWxWd1we59JGJCaHzUp2tJ0AMvrtsHmdSBXm44ZeaNRqM864f3+UL8Zzx14RzSi/KFyknFfcTQHcmca5s+cxRILf8o5sKelChW2ZhbaNTK9C9SK8MVl2v/q42VYc7yMPR+Wk4/JXbqh3mLFvE3b8Nnuvay4UEFyEib374IPmzbC6nGGGTGs3R45fK1aeH1At5Q0vDL1AvRIO/HVlY4e1+sH1+GVA6thdgdDagal5uOaolHYWl6LJpsdeUkmXNKvH7r7Pbcdgar0PrZpWZSRT8/6pmbjw2lXhlWO/V+zvbYaN339OUveDJ2E9UhNx5vnX4yCpPjnz49ld00tnlmxGmvKygOvjSjMx+1jz2B5FYsPH4bd7WZjc86AgehxAv37v2J3XS0u/WAB65tYIVw3DRuOP4w/M+r151atxUvrIirX+o18pvPPJjT+xF9a9Zk8Hr8ZLSpyRbKvoR4XfTwfbq9YEzpKtahbD7w07XycqnADv+NwA/80GTA+v4Z5vLCXn4N6+25saXwZtfZtgdfy9KMwLON3cfMBOD+NUsturGn4HIfM29gqTo62BGMyzseglAm/CuNeYk/rDnx8fD5qnUE5vjxtIWYVXo1epqDu/y/JYUs51tRvhdVrZyE5k7JGIUV9cq8nZreDJXCmqEkqNX78/Mmk2l6PRdWrsa5+NxrtdphbdVDYcnBet4G4vP8ApOt//Mrb/4oaWxvmHdmAz8p3oM3lQJ4+GZOyeyNJMLIJ8+CsXJyRV/iznEMktbmxvoxNOLolZaBH0olPtGKxvPIIntuxihW7IpJUGibneduAMT+rcS/h9nqxpPQwtlVXs5j0cYXFGFtYHFZM7H9BjdmCOosFGQY98k7R+3comyorcf+SxWxlSoLqMNw8fARuH3VGzP6iycBfv1+Bd7ZsZ2M2oFokCDivVy/o5EpYXW6UpKfi0sH9kZ+SuB82VR3H75d+w+ReaVtScb1Le/fDXyaczVZ8TlVOB3vtVIEb+HzAnDBWdx0c3mamsqNX/m+8X5xw6AJM/3VUCrKz9sFxexna3K1IVqUiX/fzGGgczqlMs9MOh8eNDJ2BKSNxTo9r2aaqSpQ2N7OwrDO7dGEx9+1xvLUVX+zdjwarjcX4X9i3D8sd+DFQGNiqijIcbm5kCkqTu3RFzmkgjckN/I7DDXw+YDgcDofD4XBOebiB33F+ve5ADofD4XA4HA6nE8INfA6Hw+FwOBwOpxPBDXwOh8PhcDgcDqcTwQ18DofD4XA4HA6nE8ENfA6Hw+FwOBwOpxPBDXwOh8PhcDgcDqcTwQ18DofD4XA4HA6nE8ENfA6Hw+FwOBwOpxPBDXwOh8PhcDgcDqcTwQ18DofD4XA4HA6nE8ENfA6Hw+FwOBwOpxPBDXwOh8PhcDgcDqcTwQ18DofD4XA4HA6nE8ENfA6Hw+FwOBwOpxOh/KUbcCogCAL7t62t7ZduCofD4XA4HA4nBpKdJtltnPhwAx+A2WxmnVFYWJigqzgcDofD4XA4p4Ldlpyc/Es345RGJvBpEHw+H6qqqmAymSCTyX6WGShNJioqKpCUlPQ/319nhPch779fGj4Gef/90vAxyPvv1zYGyWQl4z4vLw9yOY8yTwT34FMiglyOgoIC/NzQycANfN6HvyR8DPI+/KXhY5D34S8NH4OnVx9yz33H4NMfDofD4XA4HA6nE8ENfA6Hw+FwOBwOpxPBDfxfAI1Gg0cffZT9y+F9yMfg6Qk/j3n//dLwMcj775eGj8FTF55ky+FwOBwOh8PhdCK4B5/D4XA4HA6Hw+lEcAOfw+FwOBwOh8PpRHADn8PhcDgcDofD6URwA5/D4XA4HA6Hw+lEcAP/f8STTz7JquLeeeedgdfmzp3LXgt9nHHGGWHfczqduP3225GRkQGDwYALLrgAx48fR2fnsccei+qbnJycsOp19BmqXqfT6XDWWWdhz549Ydv4tfZdR/uQj7/2qaysxFVXXYX09HTo9XoMHjwYW7ZsCbzPx+FP70M+DhPTpUuXqPOYHrfeeisfgyeh//j4ax+Px4OHHnoIJSUl7H7btWtX/PnPf4bP5wt8hl8LTwMEzkln48aNQpcuXYSBAwcKd9xxR+D1a6+9Vpg+fbpQXV0deDQ2NoZ995ZbbhHy8/OFpUuXClu3bhUmTpwoDBo0SPB4PJ36l3r00UeFfv36hfVNXV1d4P2nnnpKMJlMwieffCLs2rVLmD17tpCbmyu0tbUJv/a+62gf8vGXmKamJqG4uFiYO3eusGHDBqG0tFRYtmyZcPjw4cBn+Dj86X3Ix2Fi6JwNPYfpeka36uXLl/MxeBL6j4+/9nniiSeE9PR04auvvmLn8EcffSQYjUbh+eefD3yGXwtPfbiBf5Ixm81Cjx492EVlwoQJUQb+hRdeGPe7LS0tgkqlEhYsWBB4rbKyUpDL5cKiRYuEzm6ckjEeC5/PJ+Tk5LALioTD4RCSk5OFV155Rfi1911H+pDg4y8xDzzwgDBu3Li47/Nx+NP7kI/DE4fuId26dWPjj4/Bn9Z/fPx1jHPPPVe4/vrrw16bOXOmcNVVV7HnfByeHvAQnZMMLQOee+65mDx5csz3V6xYgaysLPTs2RM33ngj6urqAu/RMrbb7cbUqVMDr1FISv/+/bF27Vp0dg4dOsSOl5YFL7/8chw9epS9XlpaipqamrB+oeIaEyZMCPTLr73v2utDCT7+4vPFF19g+PDhmDVrFjtHhwwZgtdeey3wPh+HP70P+Tg8MVwuF959911cf/31LMyEj8Gf1n98/HWMcePG4bvvvsPBgwfZ3zt27MDq1asxY8YM9jcfh6cH3MA/iSxYsABbt25l8fexOOecczB//nx8//33ePbZZ7Fp0yZMmjSJxY4TZMSq1WqkpqaGfS87O5u915kZNWoU3nnnHSxevJgZBHS8Y8aMQWNjY+DYqR/i9cuvue860ocEH3+JocnQyy+/jB49erA+vOWWW/D73/+e9SnBx+FP70M+Dk+Mzz77DC0tLSxunI/Bn95/fPx1jAceeABz5sxB7969oVKp2ESd8gnpNT4OTx+Uv3QDOgsVFRW44447sGTJEmi12pifmT17duA5eZbJ01VcXIyvv/4aM2fOjLttCqUK9T50Rsj4lBgwYABGjx6Nbt26Yd68eYFE5Mg+6Ei//Br6riN9ePfdd/Px1w6UQEbn5N/+9jf2N93UKJGbDNZrrrkm8Dk+Dn9aH/LrYMd544032HlNq3Kh8DH44/uPj7/2+eCDD9jKx3vvvYd+/fph+/btzMCnfrz22mv5ODxN4B78kwSFiFC4zbBhw6BUKtlj5cqVeOGFF9hzr9cb9Z3c3Fxm4FNYBUGKJ7Sk2NzcHPY52m6k97qzQyo4ZKRS30hKMJGe+NB+4X2XuA9jwcdfdH/07ds37LU+ffqgvLw8MMb4OPxpfcjHYccpKyvDsmXLcMMNNwRe42Pwp/UfH38d47777sMf/vAHFuZJ95Crr74ad911VyA6gY/D0wNu4J8kzj77bOzatYvNdKUHebKuvPJK9lyhUER9h0InyPNPN0WCJge0HLZ06dLAZ6qrq7F7924WavFrgsKW9u3bx/qG4snpghLaLzQRogmU1C+87xL3YSz4+Atn7NixOHDgQNhrFINKk3CCj8Of3od8HHact956i+UxUE6XBB+DP63/+PjrGDabDXJ5uHlINowkk8nH4WnCL53l25kJVdEhdZ177rlHWLt2LZOdIsmu0aNHM1nHSKnHgoICJi1HUo+TJk36VUg9Ut+sWLFCOHr0qLB+/XrhvPPOY7KYx44dY++Tgg6p5nz66adMJnPOnDkxZTJ/jX3XkT7k469j8rZKpVL461//Khw6dEiYP3++oNfrhXfffTfwGT4Of1of8nHYMbxer1BUVMRUiSLhY/DH9x8ffx2DFNfINpFkMum+m5GRIdx///18HJ5GcAP/ZzLwbTabMHXqVCEzM5PJOdLFh06i8vLysO/Y7XbhtttuE9LS0gSdTseMtMjPdEYkXXvqm7y8PCbJtWfPnsD7JMtFMpAkl6nRaIQzzzyTGfqh/Fr7riN9yMdfx/jyyy+F/v37szHWu3dv4dVXXw17n4/Dn9aHfBx2jMWLFzPt9gMHDkS9x8fgj+8/Pv46BjnOyHYhO0Wr1Qpdu3YVHnzwQcHpdPJxeBoho//90qsIHA6Hw+FwOBwO5+TAY/A5HA6Hw+FwOJxOBDfwORwOh8PhcDicTgQ38DkcDofD4XA4nE4EN/A5HA6Hw+FwOJxOBDfwORwOh8PhcDicTgQ38DkcDofD4XA4nE4EN/A5HA6Hw+FwOJxOBDfwORwOh8PhcDicTgQ38DkcDofD4XA4nE4EN/A5HA7nBDnrrLNw5513dvp+e+yxxzB48OBfuhkcDofDOUG4gc/hcDi/Mlwu18+6P0EQ4PF4ftZ9cjgczq8ZbuBzOBzOCTB37lysXLkS//rXvyCTydjj2LFj2Lt3L2bMmAGj0Yjs7GxcffXVaGhoCPP633777czzn5qayj7z6quvwmq14rrrroPJZEK3bt3w7bffBr6zYsUKtv2vv/4agwYNglarxahRo7Br166wNq1duxZnnnkmdDodCgsL8fvf/55tV6JLly544oknWNuTk5Nx4403stcfeOAB9OzZE3q9Hl27dsXDDz8Mt9vN3nv77bfx+OOPY8eOHYHjpNfoWOn59u3bA9tvaWlhr1F7Q9u9ePFiDB8+HBqNBqtWrWKG/tNPP832RW2lY/r444/5+ONwOJyTDDfwORwO5wQgw3706NHMSK6urmYPlUqFCRMmsHCWzZs3Y9GiRaitrcVll10W9t158+YhIyMDGzduZMb+b3/7W8yaNQtjxozB1q1bMW3aNDYxsNlsYd+777778I9//AObNm1CVlYWLrjggoAhTsY+fW/mzJnYuXMnPvjgA6xevRq33XZb2DaeeeYZ9O/fH1u2bGGGPEGTCjLaaXJCx/Xaa6/hueeeY+/Nnj0b99xzD/r16xc4TnrtRLj//vvx5JNPYt++fRg4cCAeeughvPXWW3j55ZexZ88e3HXXXbjqqqvYhInD4XA4JxGBw+FwOCfEhAkThDvuuCPw98MPPyxMnTo17DMVFRUCXWIPHDgQ+M64ceMC73s8HsFgMAhXX3114LXq6mr2nXXr1rG/ly9fzv5esGBB4DONjY2CTqcTPvjgA/Y3ff+mm24K2/eqVasEuVwu2O129ndxcbFw0UUXtXtcTz/9tDBs2LDA348++qgwaNCgsM+UlpayNm3bti3wWnNzM3uN2hva7s8++yzwGYvFImi1WmHt2rVh2/vNb34jzJkzp922cTgcDqfjKE/mZIHD4XB+jZBXfPny5Sw8J5IjR46wMBiCvNgSCoUC6enpGDBgQOA1Ctsh6urqwrZBKwYSaWlp6NWrF/OKS/s+fPgw5s+fH/gMhcL4fD6UlpaiT58+7DUKlYmEwmOef/559n2LxcLi5JOSknCyCN0nrRI4HA5MmTIlKh9gyJAhJ22fHA6HwwG4gc/hcDg/ETKmzz//fPz973+Pei83NzfwnEJ5QqE49dDX6G9pe+0R+tmbb76Zxd1HUlRUFHhuMBjC3lu/fj0uv/xyFmdPIT4Um79gwQI8++yzCfcrl8sDkwgJKVwoktB9SsdE+QT5+flhn6MYfQ6Hw+GcPLiBz+FwOCeIWq2G1+sN/D106FB88sknLJlVqTz5l1UyxiVjvbm5GQcPHkTv3r0D+6Z49u7du5/QNtesWYPi4mI8+OCDgdfKysoSHieRmZnJ/qWYfMnzHppwG4++ffsyQ768vJzlK3A4HA7nfwdPsuVwOJwThAz5DRs2MEUZUsq59dZb0dTUhDlz5rAE2qNHj2LJkiW4/vrrowzkH8Of//xnfPfdd9i9ezdTwqFE3YsuuiighLNu3TrWBjK0Dx06hC+++IIl8SaCJgRkbJPXnsKIXnjhBSxcuDDqOCnMh7ZLx+l0Opn6zRlnnIGnnnqKhd388MMPLHm2PSih995772WJtZRsTPvctm0bXnrpJfY3h8PhcE4e3MDncDicE4QMVYqhJ680ebQpjpw84mTMU7gLqdXccccdLOxFCmn5KZAxTdsbNmwY85yTAU/edSmun1RoyLAfP34886qTSk5oaFAsLrzwQmZsk9oOqf+Q1KakriNxySWXYPr06Zg4cSI7zvfff5+9/uabb7KwHIqxp3aRBGdH+Mtf/oJHHnmEKetQbgD11ZdffomSkpIf3TccDofDiUZGmbYxXudwOBzOLwzpyZNxTWE5KSkpv3RzOBwOh3OawD34HA6Hw+FwOBxOJ4Ib+BwOh8PhcDgcTieCh+hwOBwOh8PhcDidCO7B53A4HA6Hw+FwOhHcwOdwOBwOh8PhcDoR3MDncDgcDofD4XA6EdzA53A4HA6Hw+FwOhHcwOdwOBwOh8PhcDoR3MDncDgcDofD4XA6EdzA53A4HA6Hw+FwOhHcwOdwOBwOh8PhcNB5+H/YuR6eAzctlgAAAABJRU5ErkJggg==", "text/plain": [ "
" ] @@ -250,28 +276,19 @@ "plt.ylabel(y_name)\n", "plt.colorbar(cax=fig.add_axes([0.92, 0.15, 0.01, 0.7]))\n", "\n", - "plt.savefig(FOLDER / \"postprocessing\" / \"scatter.png\")" + "plt.savefig(FOLDER / \"postprocessing\" / \"scatter.png\")\n", + "plt.show()" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 8, "id": "97c2440b", "metadata": {}, "outputs": [ { "data": { - "text/plain": [ - "Text(0.5, 0, 'h_l correlation used')" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -282,7 +299,8 @@ ], "source": [ "plt.hist(PP_data[\"h_l_corr\"], edgecolor='black', alpha=0.7)\n", - "plt.xlabel(\"h_l correlation used\")" + "plt.xlabel(\"h_l correlation used\")\n", + "plt.show()" ] } ], diff --git a/LL_sensitivity.py b/LL_sensitivity.py index e1b2e0e..0c487d3 100644 --- a/LL_sensitivity.py +++ b/LL_sensitivity.py @@ -20,6 +20,7 @@ import torch import pandas as pd import json +import networkx as nx COMPUTE_SOBOL = False @@ -48,14 +49,16 @@ def _forward(self, x: torch.Tensor) -> torch.Tensor: LIBRA_PI_OPERATING_PARAMS.P_top = x[0, 1].item() * ureg.bar LIBRA_PI_OPERATING_PARAMS.flow_g_mol = x[0, 2].item() * ureg.sccm LIBRA_PI_GEOM.nozzle_diameter = x[0, 3].item() * ureg.m - LIBRA_PI_SPARGING_PARAMS.h_l = h_l_corrs[int(x[0, 4].item())] + # LIBRA_PI_SPARGING_PARAMS.h_l = h_l_corrs[int(x[0, 4].item())] # breakpoint() + graph = nx.Graph() sim_input = SimulationInput.from_parameters( LIBRA_PI_GEOM, LIBRA_PI_MAT, LIBRA_PI_OPERATING_PARAMS, LIBRA_PI_SPARGING_PARAMS, + graph=graph, ) tau = sim_input.get_tau() h_l = sim_input.h_l @@ -75,8 +78,9 @@ def _forward(self, x: torch.Tensor) -> torch.Tensor: h_l.to("m/s").magnitude, a.to("1/m").magnitude, eps_g.to("dimensionless").magnitude, - # sim_input.d_b.to("m").magnitude, - LIBRA_PI_SPARGING_PARAMS.h_l.identifier, + graph.nodes["d_b"]["value"].to("m").magnitude, + graph.nodes["u_g0"]["value"].to("m/s").magnitude, + graph.nodes["h_l"]["origin"], ] ) y = torch.tensor( @@ -92,12 +96,11 @@ def _forward(self, x: torch.Tensor) -> torch.Tensor: "P_top": (1, 5), # bar "flow_g_mol": (40, 400), # sccm "nozzle_diameter": (0.5e-3, 10e-3), # m - "h_l_corr": (0, len(h_l_corrs)), }, output_names=["tau"], ) -n_samples = 5000 +n_samples = 1000 X = simulator.sample_inputs(n_samples) @@ -111,9 +114,9 @@ def _forward(self, x: torch.Tensor) -> torch.Tensor: pd.DataFrame(X, columns=simulator.param_names).to_csv( FOLDER / "simulator_inputs.csv", index=False ) -pd.DataFrame(PP_numbers, columns=["Pi", "tau", "h_l", "a", "eps_g", "h_l_corr"]).to_csv( - FOLDER / "PP_data.csv", index=False -) +pd.DataFrame( + PP_numbers, columns=["Pi", "tau", "h_l", "a", "eps_g", "d_b", "u_g0", "h_l_corr"] +).to_csv(FOLDER / "PP_data.csv", index=False) # sensitivity analysis problem problem = { diff --git a/src/sparging/correlations.py b/src/sparging/correlations.py index 4c19605..14a0c6d 100644 --- a/src/sparging/correlations.py +++ b/src/sparging/correlations.py @@ -12,8 +12,6 @@ from dataclasses import dataclass import enum -U_G0_DEFAULT = 0.25 # m/s, typical bubble velocity according to Chavez 2021 - class CorrelationType(enum.Enum): # TODO do we really use it ? MASS_TRANSFER_COEFF = "h_l" diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index 4f8deea..d66f458 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -179,7 +179,9 @@ def from_parameters( graph: nx.Graph | None = None, ): """ - - graph: optional, if want to visualize how the input was constructed + - graph: optional, if want to visualize how the input was constructed. Each node has an ID (the param name) and contains a dictionary with properties: + - value: value of the parameter as pint.Quantity + - origin: "input" | """ input_objects = [ column_geometry, @@ -218,7 +220,11 @@ def find_in_graph( ) -> None: """Abstracts SimulationInput construction as a graph search problem. "Correlation" object are seen as a path to the corresponding node - required_node: parameter we want to obtain (e.g. h_l) - - discovered_nodes: already discovered parameters as pint.Quantity + - discovered_graph: already discovered parameters + - graph properties: + - id : name of the parameter + - value: value of the parameter as pint.Quantity + - origin: "input" | - input_objs: list of objects in which to search - returns the updated discovered_nodes with the required_node added """ From cb9764c4169e52ef411b09db59906374ac354cd0 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 12 May 2026 10:27:46 -0400 Subject: [PATCH 109/121] added "examples" and "data processing" folder --- .gitignore | 2 +- LL_sensitivity.ipynb | 328 ------ data_processing/LL_sensitivity.ipynb | 989 ++++++++++++++++++ data_processing/sensitivity.ipynb | 468 +++++++++ examples/LL_sensitivity.py | 159 +++ examples/Sparging_UQ.py | 121 +++ sensitivity.py => examples/sensitivity.py | 0 sparging101.py => examples/sparging101.py | 0 .../sparging_LIBRA1L.py | 0 examples/sparging_LIBRA_Pi.py | 50 + sensitivity.ipynb | 422 -------- src/sparging/postprocess.py | 7 + 12 files changed, 1795 insertions(+), 751 deletions(-) delete mode 100644 LL_sensitivity.ipynb create mode 100644 data_processing/LL_sensitivity.ipynb create mode 100644 data_processing/sensitivity.ipynb create mode 100644 examples/LL_sensitivity.py create mode 100644 examples/Sparging_UQ.py rename sensitivity.py => examples/sensitivity.py (100%) rename sparging101.py => examples/sparging101.py (100%) rename sparging_LIBRA1L.py => examples/sparging_LIBRA1L.py (100%) create mode 100644 examples/sparging_LIBRA_Pi.py delete mode 100644 sensitivity.ipynb diff --git a/.gitignore b/.gitignore index 89fbb33..f24ebeb 100644 --- a/.gitignore +++ b/.gitignore @@ -208,9 +208,9 @@ __marimo__/ .vscode/ misc_scripts/ datasets/ +figures/ *.yaml *.csv -mwe.py *.json !standard_input.json *.ipynb diff --git a/LL_sensitivity.ipynb b/LL_sensitivity.ipynb deleted file mode 100644 index 19b1e47..0000000 --- a/LL_sensitivity.ipynb +++ /dev/null @@ -1,328 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "1e290ac2", - "metadata": {}, - "source": [ - "Low level sensitivity analysis:\n", - "- Performs analysis of data generated by [LL_sensitivity.py](LL_sensitivity.py), varying low level parameters (temperature, pressure, nozzle gas flow rate, nozzle diameter)" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "6e5dda97", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[(, ), (, ), (, ), (, ), (, )]\n" - ] - } - ], - "source": [ - "\"\"\" what range of gas flow rates fit the Kanai correlation for d_b? (3-10 cm3/s)\"\"\"\n", - "from sparging.config import ureg\n", - "import sparging.correlations as corr\n", - "import numpy as np\n", - "\n", - "ndots = np.linspace(40,400,5) * ureg.sccm\n", - "temps = np.array([450, 600, 700]) * ureg.K\n", - "vdots = corr.flow_g_vol.function(ndots, temps[2], 1*ureg.atm).to(\"cm**3/s\")\n", - "print([(ndot, vdot) for ndot, vdot in zip(ndots, vdots)])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "60086475", - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "from pathlib import Path\n", - "from sparging.config import ureg\n", - "from autoemulate import AutoEmulate\n", - "import json\n", - "\n", - "EMULATOR = False\n", - "FOLDER = Path(\"datasets/20260428_170316\")\n", - "\n", - "X = pd.read_csv(FOLDER / \"simulator_inputs.csv\")\n", - "Y = pd.read_csv(FOLDER / \"simulator_outputs.csv\")\n", - "\n", - "problem = json.load(open(FOLDER / \"problem.json\"))\n", - "\n", - "if EMULATOR:\n", - " model = AutoEmulate.load_model(\"datasets/20260427_103531/RadialBasisFunctions_2.joblib\")" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "523b5ae6", - "metadata": {}, - "outputs": [], - "source": [ - "if EMULATOR:\n", - " from autoemulate.core.sensitivity_analysis import SensitivityAnalysis\n", - "\n", - " # print(problem)\n", - "\n", - " sa = SensitivityAnalysis(model, problem=problem)\n", - " sobol_df = sa.run(\"sobol\")\n", - " list = []\n", - " for i,string in enumerate(sobol_df[\"parameter\"]):\n", - " list.append(str(string).replace(\"np.str_\",\"\").replace(\"'\", \"\").replace('(', \"\").replace(')', \"\").replace(', ', \"_\"))\n", - "\n", - " sa.plot_sobol(sobol_df, index=\"S1\", figsize=(10, 8), fname=FOLDER / \"postprocessing/sobol1.png\")\n", - " sa.plot_sobol(sobol_df, index=\"S2\", figsize=(10, 8), fname=FOLDER / \"postprocessing/sobol2.png\") \n", - " sa.plot_sobol(sobol_df, index=\"ST\", figsize=(10, 8), fname=FOLDER / \"postprocessing/sobolTot.png\")" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "12dd2beb", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "fig,axs = plt.subplots(4,2, figsize=(12,14))\n", - "PP_data = pd.read_csv(FOLDER / \"PP_data.csv\")\n", - "plt.sca(axs[0,0])\n", - "plt.hist(np.log10(PP_data[\"Pi\"].values), bins=20, edgecolor='black', alpha=0.7)\n", - "plt.vlines(np.log10(0.1), ymin=0, ymax=plt.gca().get_ylim()[1], colors=\"red\", linestyles=\"dashed\", label=\"SPP limit\")\n", - "plt.xlabel(\"log10(Pi)\")\n", - "plt.ylabel(\"# samples\")\n", - "plt.legend()\n", - "\n", - "axs[0,1].hist(np.log10(PP_data[\"tau\"].values), bins=20, edgecolor='black', alpha=0.7)\n", - "axs[0,1].set_xlabel(\"log10(tau)\")\n", - "axs[0,1].set_ylabel(\"# samples\")\n", - "\n", - "axs[1,0].hist(np.log10(PP_data[\"h_l\"].values), bins=20, edgecolor='black', alpha=0.7)\n", - "axs[1,0].set_xlabel(\"log10(h_l)\")\n", - "axs[1,0].set_ylabel(\"# samples\")\n", - "\n", - "axs[1,1].hist(np.log10(PP_data[\"a\"].values), bins=20, edgecolor='black', alpha=0.7)\n", - "axs[1,1].set_xlabel(\"log10(a)\")\n", - "axs[1,1].set_ylabel(\"# samples\")\n", - "\n", - "# axs[2,0].hist((PP_data[\"eps_g\"].values), bins=20, edgecolor='black', alpha=0.7)\n", - "# axs[2,0].xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _: f\"{x*1e2:.3f}\"))\n", - "# axs[2,0].set_xlabel(\"eps_g [%]\")\n", - "axs[2,0].hist(np.log10(PP_data[\"eps_g\"].values), bins=20, edgecolor='black', alpha=0.7)\n", - "axs[2,0].set_xlabel(\"log10(eps_g)\")\n", - "axs[2,0].set_ylabel(\"# samples\")\n", - "\n", - "axs[2,1].hist((PP_data[\"d_b\"].values), bins=20, edgecolor='black', alpha=0.7)\n", - "axs[2,1].set_xlabel(\"d_b [mm]\")\n", - "axs[2,1].xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _: f\"{x*1e3:.2f}\"))\n", - "axs[2,1].set_ylabel(\"# samples\")\n", - "\n", - "axs[3,0].hist((PP_data[\"u_g0\"].values), bins=40, edgecolor='black', alpha=0.7)\n", - "axs[3,0].set_xlabel(\"u_g0\")\n", - "axs[3,0].set_ylabel(\"# samples\")\n", - "\n", - "fig.text(0.5,0.9,\"Input ranges:\\n\" + \"\\n\".join([f\"{param}: [{problem['bounds'][i][0]}, {problem['bounds'][i][1]}]\" for i, param in enumerate(problem[\"names\"])]), fontsize=10, ha='center', va='bottom',)\n", - "plt.suptitle(f\"{FOLDER} - n={len(PP_data)}\")\n", - "plt.savefig(FOLDER / \"postprocessing\" / \"distributions.png\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "3d23d941", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "95% confidence interval for tau: [0.66 13.92] day\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from scipy.stats import norm\n", - "\n", - "log_tau = np.log10(PP_data[\"tau\"].values)\n", - "plt.hist(log_tau, bins=40, edgecolor='black', alpha=0.7, density=True)\n", - "plt.xlabel(\"log10(tau)\")\n", - "plt.ylabel(\"density\")\n", - "\n", - "# tau_mean = np.mean(log_tau)\n", - "# tau_std = np.std(log_tau)\n", - "log_tau_mean, log_tau_std = norm.fit(log_tau)\n", - "x = np.linspace(log_tau.min(), log_tau.max(), 100)\n", - "\n", - "pdf = norm.pdf(x, log_tau_mean, log_tau_std)\n", - "\n", - "# # equivalent \n", - "# gaussian = (1/(log_tau_std * np.sqrt(2 * np.pi))) * np.exp(-0.5 * ((x - log_tau_mean) / log_tau_std) ** 2)\n", - "# np.allclose(pdf, gaussian)\n", - "\n", - "\n", - "plt.plot(x, pdf, color='red', label='Gaussian fit')\n", - "\n", - "log_tau_95 = [log_tau_mean - 1.96*log_tau_std, log_tau_mean + 1.96*log_tau_std]\n", - "\n", - "plt.vlines(log_tau_95, ymin=0, ymax=plt.gca().get_ylim()[1], colors=\"green\", linestyles=\"dashed\", label=\"95% confidence\")\n", - "plt.legend()\n", - "\n", - "tau_95 = np.power(10,log_tau_95) * ureg.s\n", - "annotation = f\"time to remove 99% of the T inventory \\n(with 95% confidence): {np.log(100) * tau_95.to('days'):<5.2f}\"\n", - "plt.annotate(annotation, xy=(0.05, 0.99), xycoords='axes fraction', fontsize=10, verticalalignment='top')\n", - "\n", - "plt.suptitle(f\"{FOLDER} - n={len(PP_data)}\")\n", - "plt.savefig(FOLDER / \"postprocessing\" / \"tau_distribution_fitted.png\")\n", - "print(f\"95% confidence interval for tau: {tau_95.to('days'):<5.2f}\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "66ad0899", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "log_tau_malara = [log_tau[i] for i in range(len(log_tau)) if PP_data[\"h_l_corr\"].values[i] == \"h_l_malara\"]\n", - "log_tau_higbie = [log_tau[i] for i in range(len(log_tau)) if PP_data[\"h_l_corr\"].values[i] == \"h_l_higbie\"]\n", - "log_tau_briggs = [log_tau[i] for i in range(len(log_tau)) if PP_data[\"h_l_corr\"].values[i] == \"h_l_briggs\"]\n", - "\n", - "plt.hist([log_tau_briggs,log_tau_malara, log_tau_higbie], bins=40, edgecolor='black', alpha=0.7,\n", - " density=True, label=[\"briggs\",\"malara\", \"higbie\", ], stacked=True)\n", - "plt.xlabel(\"log10(tau)\")\n", - "plt.ylabel(\"density\")\n", - "\n", - "plt.legend()\n", - "\n", - "plt.suptitle(f\"{FOLDER} - n={len(PP_data)}\")\n", - "plt.savefig(FOLDER / \"postprocessing\" / \"tau_distribution_correlation.png\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "196075aa", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "x_name = \"temperature\"\n", - "y_name = \"flow_g_mol\"\n", - "c_name = \"tau\"\n", - "Y_plot = np.log10(Y[c_name])\n", - "\n", - "fig,axs = plt.subplots(1,1, figsize=(8,6))\n", - "plt.sca(axs)\n", - "plt.scatter(X[x_name], X[y_name], c=Y_plot, cmap=\"viridis\", vmin=Y_plot.min(), vmax=Y_plot.max())\n", - "\n", - "plt.title(f\"{FOLDER} - log10({c_name})\")\n", - "\n", - "plt.xlabel(x_name)\n", - "plt.ylabel(y_name)\n", - "plt.colorbar(cax=fig.add_axes([0.92, 0.15, 0.01, 0.7]))\n", - "\n", - "plt.savefig(FOLDER / \"postprocessing\" / \"scatter.png\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "97c2440b", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.hist(PP_data[\"h_l_corr\"], edgecolor='black', alpha=0.7)\n", - "plt.xlabel(\"h_l correlation used\")\n", - "plt.show()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "autoemulate_env", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.13" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/data_processing/LL_sensitivity.ipynb b/data_processing/LL_sensitivity.ipynb new file mode 100644 index 0000000..061f992 --- /dev/null +++ b/data_processing/LL_sensitivity.ipynb @@ -0,0 +1,989 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "1e290ac2", + "metadata": {}, + "source": [ + "Low level sensitivity analysis:\n", + "- Performs analysis of data generated by [LL_sensitivity.py](LL_sensitivity.py), varying low level parameters (temperature, pressure, nozzle gas flow rate, nozzle diameter)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "6e5dda97", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[(, ), (, ), (, ), (, ), (, )]\n" + ] + } + ], + "source": [ + "\"\"\" what range of gas flow rates fit the Kanai correlation for d_b? (3-10 cm3/s)\"\"\"\n", + "from sparging.config import ureg\n", + "import sparging.correlations as corr\n", + "import numpy as np\n", + "\n", + "ndots = np.linspace(40,400,5) * ureg.sccm\n", + "temps = np.array([450, 600, 700]) * ureg.K\n", + "vdots = corr.flow_g_vol.function(ndots, temps[2], 1*ureg.atm).to(\"cm**3/s\")\n", + "print([(ndot, vdot) for ndot, vdot in zip(ndots, vdots)])" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "60086475", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "from pathlib import Path\n", + "from sparging.config import ureg\n", + "import json\n", + "\n", + "CLEAN = True\n", + "EMULATOR = False\n", + "FOLDER = Path(\"datasets/20260510_233508\")\n", + "\n", + "X = pd.read_csv(FOLDER / \"simulator_inputs.csv\")\n", + "Y = pd.read_csv(FOLDER / \"simulator_outputs.csv\")\n", + "\n", + "problem = json.load(open(FOLDER / \"problem.json\"))\n", + "\n", + "units_dict ={\n", + " \"temperature\": \"Celsius\",\n", + " \"P_top\": \"bar\",\n", + " \"flow_g_mol\": \"sccm\",\n", + " \"nozzle_diameter\": \"m\"\n", + "}\n", + "\n", + "names_dict ={\n", + " \"temperature\": \"Salt temperature\",\n", + " \"P_top\": \"Vessel pressure\",\n", + " \"flow_g_mol\": \"Sparging gas flow rate\",\n", + " \"nozzle_diameter\": \"Nozzle diameter\",\n", + " \"tau\": \"Extraction time\",\n", + " \"d_b\": \"Bubbles diameter\",\n", + " \"eps_g\": \"Gas fraction\",\n", + " \"u_g0\": \"Bubbles velocity\"\n", + "}\n", + "\n", + "if EMULATOR:\n", + " from autoemulate import AutoEmulate\n", + " model = AutoEmulate.load_model(\"datasets/20260427_103531/RadialBasisFunctions_2.joblib\")" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "a1ec5454", + "metadata": {}, + "outputs": [], + "source": [ + "from autoemulate.core.sensitivity_analysis import SensitivityAnalysis\n", + "if EMULATOR:\n", + " # === Sensitivity analysis ===\n", + " sa = SensitivityAnalysis(model, problem=problem)\n", + " sobol_df = sa.run(\"sobol\")\n", + " sa.plot_sobol(sobol_df, index=\"ST\", fname=\"out.svg\")\n", + "\n", + " # get patches\n", + " import matplotlib.pyplot as plt\n", + "\n", + " for i, patch in enumerate(plt.gca().get_children()):\n", + " print(f\"Patch {i}: {patch}\")\n", + " if i ==0:\n", + " patch.set_color(\"red\")\n", + " elif i < 4:\n", + " patch.set_alpha(0.5)\n", + "\n", + " plt.savefig(\"out2.svg\")" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "523b5ae6", + "metadata": {}, + "outputs": [], + "source": [ + "if EMULATOR:\n", + " from autoemulate.core.sensitivity_analysis import SensitivityAnalysis\n", + "\n", + " # print(problem)\n", + "\n", + " sa = SensitivityAnalysis(model, problem=problem)\n", + " sobol_df = sa.run(\"sobol\")\n", + " list = []\n", + " for i,string in enumerate(sobol_df[\"parameter\"]):\n", + " list.append(str(string).replace(\"np.str_\",\"\").replace(\"'\", \"\").replace('(', \"\").replace(')', \"\").replace(', ', \"_\"))\n", + "\n", + " sa.plot_sobol(sobol_df, index=\"S1\", figsize=(10, 8), fname=FOLDER / \"postprocessing/sobol1.png\")\n", + " sa.plot_sobol(sobol_df, index=\"S2\", figsize=(10, 8), fname=FOLDER / \"postprocessing/sobol2.png\") \n", + " sa.plot_sobol(sobol_df, index=\"ST\", figsize=(10, 8), fname=FOLDER / \"postprocessing/sobolTot.png\")" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "12dd2beb", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "fig,axs = plt.subplots(4,2, figsize=(12,14))\n", + "PP_data = pd.read_csv(FOLDER / \"PP_data.csv\")\n", + "plt.sca(axs[0,0])\n", + "plt.hist(np.log10(PP_data[\"Pi\"].values), bins=20, edgecolor='black', alpha=0.7)\n", + "plt.vlines(np.log10(0.1), ymin=0, ymax=plt.gca().get_ylim()[1], colors=\"red\", linestyles=\"dashed\", label=\"SPP limit\")\n", + "plt.xlabel(\"log10(Pi)\")\n", + "plt.ylabel(\"# samples\")\n", + "plt.legend()\n", + "\n", + "axs[0,1].hist(np.log10(PP_data[\"tau\"].values), bins=20, edgecolor='black', alpha=0.7)\n", + "axs[0,1].set_xlabel(\"log10(tau)\")\n", + "axs[0,1].set_ylabel(\"# samples\")\n", + "\n", + "axs[1,0].hist(np.log10(PP_data[\"h_l\"].values), bins=20, edgecolor='black', alpha=0.7)\n", + "axs[1,0].set_xlabel(\"log10(h_l)\")\n", + "axs[1,0].set_ylabel(\"# samples\")\n", + "\n", + "axs[1,1].hist((PP_data[\"a\"].values), bins=20, edgecolor='black', alpha=0.7)\n", + "axs[1,1].set_xlabel(\"a [m2/m3]\")\n", + "axs[1,1].set_ylabel(\"# samples\")\n", + "\n", + "# axs[2,0].hist((PP_data[\"eps_g\"].values), bins=20, edgecolor='black', alpha=0.7)\n", + "# axs[2,0].xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _: f\"{x*1e2:.3f}\"))\n", + "# axs[2,0].set_xlabel(\"eps_g [%]\")\n", + "\"\"\" added\"\"\"\n", + "axs[2,0].hist(np.log10(PP_data[\"eps_g\"].values), bins=20, edgecolor='black', alpha=0.7)\n", + "axs[2,0].set_xlabel(\"log10(eps_g)\")\n", + "axs[2,0].set_ylabel(\"# samples\")\n", + "\n", + "axs[2,1].hist((PP_data[\"d_b\"].values), bins=20, edgecolor='black', alpha=0.7)\n", + "axs[2,1].set_xlabel(\"d_b [mm]\")\n", + "axs[2,1].xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _: f\"{x*1e3:.2f}\"))\n", + "axs[2,1].set_ylabel(\"# samples\")\n", + "\n", + "axs[3,0].hist((PP_data[\"u_g0\"].values), bins=40, edgecolor='black', alpha=0.7)\n", + "axs[3,0].set_xlabel(\"u_g0 [m/s]\")\n", + "axs[3,0].set_ylabel(\"# samples\")\n", + "\n", + "axs[3,1].hist((X[\"temperature\"].values), bins=40, edgecolor='black', alpha=0.7)\n", + "axs[3,1].set_xlabel(\"temperature [°C]\")\n", + "axs[3,1].set_ylabel(\"# samples\")\n", + "\n", + "# str_ranges = \"Input ranges:\\n\" + \"\\n\".join([f\"{names_dict.get(param, param)}: [{problem['bounds'][i][0]}, {problem['bounds'][i][1]}] {units_dict.get(param, '')}\" for i, param in enumerate(problem[\"names\"])])\n", + "str_ranges = \"Input ranges:\\n\" + \"\\n\".join([f\"{names_dict.get(param, param)}: {problem['bounds'][i]} {units_dict.get(param, '')}\" for i, param in enumerate(problem[\"names\"])])\n", + "\n", + "fig.text(0.5,0.9,str_ranges, fontsize=10, ha='center', va='bottom',)\n", + "# fig.text(0.5,0.88,\"Artificially increased breeder density (5000 kg/m³)\", fontsize=20, ha='center', va='bottom',)\n", + "\n", + "plt.suptitle(f\"{FOLDER} - n={len(PP_data)}\")\n", + "plt.savefig(FOLDER / \"postprocessing\" / \"distributions.png\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "3d23d941", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "95% confidence interval for tau: [0.80 2.23 ] day\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from scipy.stats import norm\n", + "\n", + "log_tau = np.log10(PP_data[\"tau\"].values)\n", + "plt.figure(figsize=(8,7))\n", + "plt.hist(log_tau, bins=40, edgecolor='black', alpha=0.7, density=True)\n", + "plt.xlabel(\"log10(tau)\")\n", + "plt.ylabel(\"Probability density\")\n", + "\n", + "# tau_mean = np.mean(log_tau)\n", + "# tau_std = np.std(log_tau)\n", + "log_tau_mean, log_tau_std = norm.fit(log_tau)\n", + "x = np.linspace(log_tau.min(), log_tau.max(), 100)\n", + "\n", + "pdf = norm.pdf(x, log_tau_mean, log_tau_std)\n", + "\n", + "# # equivalent \n", + "# gaussian = (1/(log_tau_std * np.sqrt(2 * np.pi))) * np.exp(-0.5 * ((x - log_tau_mean) / log_tau_std) ** 2)\n", + "# np.allclose(pdf, gaussian)\n", + "\n", + "\n", + "plt.plot(x, pdf, color='red', label='Gaussian fit')\n", + "\n", + "log_tau_95 = [log_tau_mean - 1.96*log_tau_std, log_tau_mean + 1.96*log_tau_std]\n", + "\n", + "plt.vlines(log_tau_95, ymin=0, ymax=plt.gca().get_ylim()[1], colors=\"green\", linestyles=\"dashed\", label=\"95% confidence\")\n", + "plt.legend()\n", + "\n", + "tau_95 = np.power(10,log_tau_95) * ureg.s\n", + "annotation = f\"time to remove 99% of the T inventory \\n(with 95% confidence): {np.log(100) * tau_95.to('days'):<5.2f}\"\n", + "plt.annotate(annotation, xy=(0.05, 0.99), xycoords='axes fraction', fontsize=10, verticalalignment='top')\n", + "\n", + "plt.suptitle(f\"{FOLDER} - Extraction speed distribution \\nn={len(PP_data)}\\n{str_ranges}\")\n", + "plt.tight_layout()\n", + "plt.savefig(FOLDER / \"postprocessing\" / \"tau_distribution_fitted.png\")\n", + "print(f\"95% confidence interval for tau: {tau_95.to('days'):<5.2f}\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "a98242da", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if CLEAN:\n", + " from scipy.stats import norm\n", + "\n", + " log_tau = np.log10(PP_data[\"tau\"].values)\n", + " plt.figure(figsize=(8,7))\n", + " plt.hist(log_tau, bins=40, edgecolor='black', alpha=0.7, density=True)\n", + " plt.xlabel(r\"$\\log_{10}(\\tau)$\")\n", + " plt.ylabel(\"Probability density\")\n", + "\n", + " # tau_mean = np.mean(log_tau)\n", + " # tau_std = np.std(log_tau)\n", + " log_tau_mean, log_tau_std = norm.fit(log_tau)\n", + " x = np.linspace(log_tau.min(), log_tau.max(), 100)\n", + "\n", + " pdf = norm.pdf(x, log_tau_mean, log_tau_std)\n", + "\n", + " # # equivalent \n", + " # gaussian = (1/(log_tau_std * np.sqrt(2 * np.pi))) * np.exp(-0.5 * ((x - log_tau_mean) / log_tau_std) ** 2)\n", + " # np.allclose(pdf, gaussian)\n", + "\n", + "\n", + " plt.plot(x, pdf, color='red', label='Gaussian fit')\n", + "\n", + " log_tau_95 = [log_tau_mean - 1.96*log_tau_std, log_tau_mean + 1.96*log_tau_std]\n", + "\n", + " plt.vlines(log_tau_95, ymin=0, ymax=plt.gca().get_ylim()[1]*1.1, colors=\"green\", linestyles=\"dashed\", label=\"95% confidence\")\n", + " plt.vlines(log_tau_mean, ymin=0, ymax=plt.gca().get_ylim()[1]*0.9, colors=\"orange\", linestyles=\"dashed\", label=\"Mean\")\n", + " plt.text(log_tau_mean, 0, rf\"$\\tau_{{\\text{{mean}}}} = {10**log_tau_mean/(24*3600):.2f} $ days\", verticalalignment='top', horizontalalignment='right', rotation=45, color=\"orange\")\n", + " plt.legend()\n", + "\n", + " tau_95 = np.power(10,log_tau_95) * ureg.s\n", + " annotation = f\"time to remove 99% of the T inventory: \\n{np.log(100) * tau_95.to('days'):<5.2f} (95% confidence)\"\n", + " plt.annotate(annotation, xy=(0.5, 0.98), xycoords='axes fraction', fontsize=12, verticalalignment='top', horizontalalignment='center', bbox=dict(boxstyle=\"round\", facecolor=\"g\", alpha=0.5))\n", + " plt.suptitle(\"Extraction time distribution \\nconsidering uncertainty on T diffusivity and salt temperature\")\n", + " plt.tight_layout()\n", + " plt.savefig(FOLDER / \"postprocessing\" / \"tau_distribution_fitted_clean.png\")\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "06885c6d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sns\n", + "percentile = 95\n", + "threshold = np.percentile(PP_data[\"tau\"].values,percentile)\n", + "\n", + "for clip in [(1e4/3600, threshold/3600), None]:\n", + " if clip is None:\n", + " color = 'none'\n", + " edgecolor = 'grey'\n", + " else:\n", + " color = 'green'\n", + " edgecolor = 'none'\n", + " sns.kdeplot(PP_data[\"tau\"].values/3600, fill=True, clip=clip, color=color, edgecolor=edgecolor, alpha=0.5)\n", + " # plt.hist(PP_data[\"tau\"].values/3600, range=((PP_data[\"tau\"].values/3600).min(), threshold/3600), bins=20, fill=True, edgecolor='black', alpha=0.7, density=True, histtype=\"stepfilled\", color=\"C0\")\n", + " # plt.hist(PP_data[\"tau\"].values/3600, bins=20, fill=True, edgecolor='black', alpha=0.7, density=True, histtype=\"step\", color=\"C0\")\n", + "\n", + "# color area where log_tau > threshold\n", + "\n", + "# annotate the plot with the threshold\n", + "# plt.annotate(f'95% prob.: {threshold:.2f}', xy=(10**threshold, 0.3e-5), fontsize=10)\n", + "\n", + "plt.annotate(f'{percentile}%', xycoords='axes fraction', xy=(0.3, 0.3), fontsize=30, color='white', weight='bold')\n", + "\n", + "plt.xlabel(r'Characteristic time $\\tau$ [hours]', fontsize=12)\n", + "plt.ylabel(\"Probability density\", fontsize=12)\n", + "\n", + "threshold_in_days = threshold / (3600*24)\n", + "# plt.title(f\"There's a {percentile}% probability \\nthat the characteristic time is less than {threshold_in_days:.2f} days\", fontsize=12, loc='left', weight='bold')\n", + "plt.savefig(FOLDER / \"postprocessing\" / \"tau_distribution_kde.svg\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a526a2ce", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if CLEAN:\n", + " from scipy.stats import norm\n", + "\n", + " log_tau = np.log10(PP_data[\"tau\"].values)\n", + " plt.figure(figsize=(8,7))\n", + " plt.hist(log_tau, bins=40, edgecolor='black', alpha=0.7, density=True, histtype=\"stepfilled\")\n", + "\n", + "\n", + "\n", + " plt.xlabel(r\"$\\log_{10}(\\tau)$\")\n", + " plt.ylabel(\"Probability density\")\n", + "\n", + " # # equivalent \n", + " # gaussian = (1/(log_tau_std * np.sqrt(2 * np.pi))) * np.exp(-0.5 * ((x - log_tau_mean) / log_tau_std) ** 2)\n", + " # np.allclose(pdf, gaussian)\n", + "\n", + "\n", + " log_tau_95 = [log_tau_mean - 1.96*log_tau_std, log_tau_mean + 1.96*log_tau_std]\n", + "\n", + " # plt.vlines(log_tau_95, ymin=0, ymax=plt.gca().get_ylim()[1]*1.1, colors=\"green\", linestyles=\"dashed\", label=\"95% confidence\")\n", + " # plt.vlines(log_tau_mean, ymin=0, ymax=plt.gca().get_ylim()[1]*0.9, colors=\"orange\", linestyles=\"dashed\", label=\"Mean\")\n", + " # plt.text(log_tau_mean, 0, rf\"$\\tau_{{\\text{{mean}}}} = {10**log_tau_mean/(24*3600):.2f} $ days\", verticalalignment='top', horizontalalignment='right', rotation=45, color=\"orange\")\n", + " # plt.legend()\n", + "\n", + " tau_95 = np.power(10,log_tau_95) * ureg.s\n", + " annotation = f\"time to remove 99% of the T inventory: \\n{np.log(100) * tau_95.to('days'):<5.2f} (95% confidence)\"\n", + " # plt.annotate(annotation, xy=(0.5, 0.98), xycoords='axes fraction', fontsize=12, verticalalignment='top', horizontalalignment='center', bbox=dict(boxstyle=\"round\", facecolor=\"g\", alpha=0.5))\n", + " \n", + " # remove spines\n", + " plt.gca().spines['top'].set_visible(False)\n", + " plt.gca().spines['right'].set_visible(False)\n", + " plt.tight_layout()\n", + " plt.savefig(FOLDER / \"postprocessing\" / \"tau_distribution_fitted_clean.png\")\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "66ad0899", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# \"\"\" what is the impact of chosen correlation on performance prediction \"\"\"\n", + "log_tau_calderoni = [log_tau[i] for i in range(len(log_tau)) if PP_data[\"D_l_corr\"].values[i] == \"D_l\"]\n", + "log_tau_oishi = [log_tau[i] for i in range(len(log_tau)) if PP_data[\"D_l_corr\"].values[i] == \"D_l_oishi\"]\n", + "# log_tau_briggs = [log_tau[i] for i in range(len(log_tau)) if PP_data[\"h_l_corr\"].values[i] == \"h_l_briggs\"]\n", + "log_tau_concat = log_tau_calderoni + log_tau_oishi # + log_tau_briggs\n", + "\n", + "log_tau_bounds = [np.min(log_tau_concat), np.max(log_tau_concat)]\n", + "tau_bounds = np.power(10,log_tau_bounds) * ureg.s\n", + "\n", + "plt.figure(figsize=(8,7))\n", + "plt.hist([np.power(10, log_tau_calderoni)/3600, np.power(10, log_tau_oishi)/3600], bins=40, edgecolor='black', alpha=0.7,\n", + " density=False, label=[\"calderoni diffusivity\",\"oishi diffusivity\"], stacked=False, histtype='stepfilled')\n", + "\n", + "# plt.hist([log_tau_calderoni, log_tau_oishi], bins=40, edgecolor='black', alpha=0.7,\n", + "# density=False, label=[\"calderoni diffusivity\",\"oishi diffusivity\"], stacked=False, histtype='stepfilled')\n", + "# plt.vlines(log_tau_bounds, ymin=0, ymax=plt.gca().get_ylim()[1], colors=\"green\", linestyles=\"dashed\", label=\"bounds\")\n", + "# annotation = f\"time to remove 99% of the T inventory: {np.log(100) * tau_bounds.to('days'):<5.2f}\"\n", + "# plt.annotate(annotation, xy=(0.05, 0.99), xycoords='axes fraction', fontsize=10, verticalalignment='top')\n", + "# plt.xscale('log')\n", + "plt.xlabel(r\"$\\tau$ [hours]\")\n", + "plt.ylabel(\"# samples\")\n", + "\n", + "plt.legend()\n", + "plt.suptitle(f\"{FOLDER} - Impact of diffusivity correlation on estimated extraction time \\nn={len(PP_data)}\\n{str_ranges}\")\n", + "plt.tight_layout()\n", + "plt.savefig(FOLDER / \"postprocessing\" / \"tau_distribution_correlation.png\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "196075aa", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAu8AAAIhCAYAAAD+YVSVAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjgsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvwVt1zgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAgsBJREFUeJzt3QecVOX18PEzZWe2F3aBpSxd6ShCQlFjAUHFFmMUxZYgamLBKEbRECVRUWP/a4ygUWwhb6IkGisaQQmiSFGagtQFlr5srzP3/ZxndoaZ3ZltArvD/L7JlZ07d26bOzPnnnue59osy7IEAAAAQKtnb+kVAAAAANA4BO8AAABAlCB4BwAAAKIEwTsAAAAQJQjeAQAAgChB8A4AAABECYJ3AAAAIEoQvAMAAABRguAdAAAAiBIE78BhcO+994rNZmvWa19//XV54oknpLX485//LC+99NIPmofH45F27drJ448/bv5+7LHH5Mwzz5TOnTtLYmKi9O3bV+688045cOBA2Nf/3//9n/Tp00fcbrd0795dpk+fLlVVVSHTvPnmm3LppZdKr169JCEhQbp16yYTJkyQ9evXh51nSUmJ/P73v5djjz3WzDczM1NOO+20OtPrcnR5Oj+dTtdD1yfSe157iI+PrzPtyy+/LOPHj5fevXuL3W43846kuLhYbrnlFunYsaOZ1/HHHy9z5syRpvrvf/8rv/zlL836JyUlSadOneT888+XpUuX1pn2qaeekuHDh0tWVpbZ5i5dupj1Xb16dZ196N+OlJQUM9/+/fvLfffdZ54LpsdQuP2jw86dO+usw0cffSQjRowwx4eux9VXXy27d++uM933338vV1xxhVlHfd979uwpt956q+zbt08ONV1XfZ8PJ93Hv/71r8226/7UZc6fPz/i9Hos6DGhx4YeI3qs6DETzh/+8Afp16+feL1e87i0tNRsT33zP5T0fbrggguOyLKAo5mzpVcAQN3gfdWqVeZHuLUE7/7gqbk+/fRT2bNnj1x44YVSVlZmAgYNtK+55hoz72XLlpmA7+2335avvvrKBGF+999/v0ybNs0E92PGjJElS5bI7373O9m+fbvMnDkzMN1DDz0k2dnZcvfdd0uPHj0kNzdXHnjgATnhhBNk8eLFJqj00+BGA/UdO3aY+Q4aNEgKCgpk0aJFJqAJpoHUK6+8In/84x/lRz/6kXzwwQcyefJkKSoqkrvuuqvOtr7//vuSlpYWeKzBeW06Pw1Yf/zjH5tAqvaJSDDdZ7rNDz74oDnR0OND952+7rLLLmv0e/Dss8+agFbXXQM4fT8effRRE6TrNp1++umBaXW6s846S4477jjJyMiQjRs3muUPGzbMBPsarCtdb8uyTLCsJ1W6rfpea5CoAaEG4LW9+OKL5gQimJ44BVuwYIFZ/rhx4+Tf//63CdrvuOMOGTVqlDk+9IRC6Tbo+qemppr3RwP45cuXyz333COffPKJWddw+7810+3717/+JYMHDzbbq5+JSF577TW5/PLLzedIT4zXrVtn9tOaNWvkww8/DJlWj/WHH37YnET594ke63piqk499dTDvGW+E1x97/VEMvh4A9BEFoBD7p577rGa+/EaN26c1bVrV6u16N+/v3XKKaf8oHn8+te/toYOHWr+rq6utvbu3Vtnmn/84x9mn73yyiuBcTpdfHy8de2114ZMe//991s2m81avXp1YNyuXbvqzHP79u1WXFycNXHixJDxkydPtpKSkqwNGzbUu96rVq0yy3nggQdCxk+aNMlKSEiw9u3bV+c937Nnj9UQj8fTqPf7nXfeMfN8/fXXQ8afccYZVseOHc2+bKxw+6eoqMhq3769NWrUqAZfv2bNGrMu06ZNa3Da3/72t2ba4P374osvmnFLlixp8PU/+tGPrH79+llVVVWBcf/73//M6//85z8Hxs2aNcuM++ijj0Jer++Xjl+2bJl1KOk89X0+nIKPDf9n4pNPPqkznb73HTp0sMaMGRMy/rXXXjOveffdd+u8J506dQqZvx6rR2Kbgp1zzjnm+AXQfNGVkgBaoXfeecdctvaXdDzyyCNhp3vmmWfkJz/5iSkf0cvhAwcONJmw4KyrZr90flu2bAkpK/DTLJlmP9u0aWOyjZpVfuGFF0z2M5hmtnRemtHULLZmJH/2s5+FZJUrKytNtttfjtK2bVv5xS9+YbKZflrOoZfxNRPqXxd/iYdmfvX1moXVZaSnp5sM9pNPPhmyLrpuc+fONctXDoejTqZVaRZaacY8OItdXl5u1iuYPtb5aobST/drbVpGoKU5wfPUffD888/Lz3/+c5Ohr4/OX5cTbvl6BUHXrzkamw3W/ZacnGzWtfbyNZP6xRdfNHqZ4faPzluz8MH7JxI9PpTT6Tyk09amV1T0SoOWWAS/fuTIkebKg+4Tv7i4OPNv8JUOpceiCleydKjpVTItP9IrFP6yptmzZ9eZTj9HeuVIy4B0/9xwww3ms167LKaxx4ZeTcrLy6tzbOqxou9r8H7Sz7p+T+iVGv/8N2/eHHif9HvF//n2X2HTciSd9zHHHGPWWcuszj33XFm5cmXYciidXzDdpnAlP/q+6hWZDRs2NGo7AdRF2QzwA3z88cfmh1vrU7X2VOu5NSDftWtXnWn1x0p/PDXAd7lc8vXXX5uSkG+//Vb++te/BkpUrr32WjNt8I+vn/5AXnfddSYY9/+A33TTTSbg0fpt/zRabnDyySeb+Wogo89roKk/4vpDrIG3rvdnn30mv/3tb01gpCcMWm6gQb+/dEXX4aKLLjLBka6b8pcs6HbqZXAtYdGTEj0J0W2pXbeupSgaZPiD90j0hEMFl7doYKT0RCdYhw4dTLmN//lItNxDtyu4zlZLKbQeW4OSX/3qV+Z908d64qFBjO674OVrgKPlOMF02uD1C6brqmUeun5jx441Jzj+96updP7aHqB2EBy8fH3vmktLhbRkKVIJgx7P1dXVsmnTJlNepCcAtYNFpSc4Oq2eGOn7reU4WtoTbrvPOeccc4Kox5Qea1piM2DAgJBtDt7G2tv9v//9L/BY31ddxm233WaOz65du5rt0RIfDTR13x1O3333ndn/ul+0nYCelL766qsmANbvAP1sKT3+TznlFHPSruVLOv3f/vY3ufHGG5u97Ej7SU9o9IQ8+NjUkzwthdJSseDPkH4naNuTiRMnmtIb5Q/o9eRQt0f3pY7bv3+/OSnR5IGWJvlLp5pK33M9Xt59913z3QWgGX5A1h6IecOGDTPlC2VlZYF9UVhYaLVp06beshm9dK0lAS+//LLlcDis/fv3N7lsxj+PP/zhD1ZmZqbl9XrN+H/+859m2StWrIj42r/97W9mmjfeeCNkvJY01C5NiFQ2o5e/jz/++AbX85ZbbrEGDhxY7zTbtm0z5RtaWhN8WV/LU9xud9jXHHvssXVKBoLpvjn11FOt1NRUa+vWrXW2XcefeOKJ1ltvvWX95z//sU477TRTIvP+++8HptXL+7179w47f5fLFVLOo++llvNoucJ///tf68EHHzTHgW6Xbl8k9b3fxxxzjDV27Ng643fs2GG2oXY5T1NNmDDBcjqd1ldffRX2ed33uhwddH9r6Uw4/n3qH37xi1+ElLyo9957z7r77rutt99+21qwYIH19NNPW507dzblS8HHqr/s4/PPP6+zHN3fut9r74sRI0aELP/nP/+5VV5ebh1qtUtMxo8fb/ZR8PGlzjrrLCsxMdE6cOCAeXz77bfXKfNS+t5GKotpqGxGjzV9Li8vr85z+rnQ98vvoYceMtPu3LkzZLqmlM1omU5lZaU5Jn/zm9/UKYfatGlTyPS6zpHWXct3LrnkkgaXCSA8ymaAZtJsrV7e1waFwZfntdcNzfrVptmq8847z2SztHREM2RXXnmlyVhqQ7PG0Oz06NGjTdbSPw/NuGtWzd8Th16218y+ZvA1U6bZ59r+85//mIy8rqdmVv2DvlazzI3pfULLXPTqgTbo1AaPhYWFYafTXmDqy7prRu/ss8822bi///3vdcoG6uu1J9JzOi/NJuqVBe3ZJScnJ/Ccv6cN3Ufvvfee2Qeabdd9otlIbfjYnOVrOYA2YNWGlprh1IaDOn/NMutViuZqzvY3hjYC1gaP2tBxyJAhYafRLPrnn39ussl6XOt21e5xRukVBv0s6PGpV5PeeOMN857797XSDK9ehdDMu16p0bIRfX90G/xXjRqzbcHj8/PzzRUkPfZ0W7SxrGbgFy5caD5rekzXJ/jY16F2+VlDdHu1UWnw8aU0865XIXTfKS0706sLWqIUTK9O/FCN2U+aRdfHejWosXR/aINvXWf9rOjVH/1Xe2Nau3btD1pnvfKgVwMBNA/BO9BMGjhocFK7pELVHrd161ZTxqI/WFoTrkGLBjtaB6+0frohX375pamZVbNmzTLlAzoP7V0leB7aVZ7WlOoPpAZI+liH4Fp0vaSv5S36Y6wnAMGD9oKyd+/eBtdn6tSppr5fS3c0YNWTEn9vIMHrrNseKXjXfXjGGWeY/TJv3rw6Neg6T615r90DjD/o19r/2jQA0xIADTi1HleDu9rzVFruoAGpn5YTaWmDll0ETxuuy0E9cdMSpHDLr32Co3Xauo+aI9LyddtVQ8uPRMuDNJDWQLu+0g1tU6G9uWiXm9p7i+7bcD3saL330KFDTXCvz2svQG+99ZbpKaY+2n7ipJNOCtk//vcn0nYHb7P2MLRixQpz7GhJmn7GtBRKA3ntbUX/jUTLy2of+xpkN4Wuo57whWtrEbwN+m/79u3rTBduXGM1ZT/pd4Nun57wN5b2IKQneFqapD3eaOmNft9oD0SN+b6qjyY7fug8gFhGzTvQTBqwROqjuvY4bfioAZ9mobUu108Dj8bS2mz9AdYMcXCmP7jRpp8GMTpoVl+Dae2XXLue1GBB++XWDJz++EdqcBkc1EaimTj9gddBTwT0hEEDN83CagNIDYY1A6vBa3BNc3DgrlcRtJ5a2w6Eq3H217prIzmttfXzn2DUnq8/cNfuCLWBnnajV1u45QS/Pjjzr8vX/a7LCz4h8zfaC7ddDc2zKXT5WhutWdDguvemLD9c4K5tFXQIF4hHoseE1lI35iqRv/FxY6atvX/826TbqFdkgum44G3Wz482pKwdQGuXnqq+NhEaYGswGqypddz6GdJ69to00638mW6dLlw7mHDfHY0V/NkIzujrsaJtT4Kz+roeerKp30Fad98YevKrVwY1+x5MP3f+BsHK/11UUVFRZ7pI9OSivnsbAKgfmXegmfRHUIMUDcg1O+yn/X/X7pvZfwnb39jTH7RoBr02nSZcVkrnoQFccPZMp9M+wyPRaTXo9Wf4/VllLV3QjJ0G95oxrT0EBzGR1ieY/phrw1bN9OsPs7/nCX/5RKTAXUt6NEOqfVqHo6UWGhzUvkmUv4eL4Iaouj8nTZpkAvfnnnsubMNKpYGeNjDWKxfBpT6a3dfMq2aa/TRrr8up3XuILl8b9Or61UczylpmEDzPpvjpT39q+qTX/RhM10eDz+ATmsbQkiB/I2NtnNwUGoxpoKg3wWqIZulVQ9PqiZu+D8H7R4Nx/Vxp8KjHZ/C+1AaiWqbmp/tg27ZtdUow/OUq2tNQJHrVqfZx35iT1mB6pUlLZ/zBup+WaunJq3+79IqOnkho/+vBmnOzLT997/VYrv3Z+Oc//2mOmeD95O9Xv3YPL/7vo0jfN8HfV0p7x6m9r/1B+DfffBMyXq+8hKMnF3pyX7uECEATRKiFB9AIH374oWW3262TTjrJmjt3rmksqn1U5+TkhDRYXbt2rWlopw0otUHjm2++aRpDauOv2o26/P2Fa6PRL774ItAv9scff2zGX3TRRWa52khwyJAhgXn4G4w9++yzpsHeSy+9ZBpO6vL0NTrNBx98EGh8po3qtEHl9OnTTWNC7StbX3PVVVeZ9fPTx9oob86cOdaXX35pffPNN4EGq3feeafZZm2AqA02u3XrZhpfasO25cuXm2XWbgxZWlpq9pE24HvyySdNw8Tg4fvvvw+Z/r777jPT3nXXXdb8+fOtP/3pT2Z9tDFrsBtvvNEs75e//GWdedbu71v7DNf3Y/jw4eZ9+9e//mWdfPLJpk/4RYsWhUx7zTXXmOXpcnX5uh66PtpgMNigQYOshx9+2DTInDdvnnk+PT3dNGjWRpXBtOGiNkbUQd/Dtm3bBh7XbtSox0lGRoY1c+ZM837qdut2vvrqq1ZTPPLII+Z1Z555Zp39E9w4VBtZ6vvz+OOPm4a8etzpMdWnTx/TCDO4n/a//OUvptHr7Nmzzbrptmt/4toH/siRI0MarWpf8nqs6f7WeT7xxBNm36SkpFgrV64MWVf9PGhD2p/+9KdmX2ojVv1MDRgwIKQhqh5b+j727ds3sA5PPfWU1a5dO9NQuDF97jdF7cad3377rVl/bRyq74d+1nR/6HR6LATfb0AblXfp0sV8xvTzdsUVV5jPik6rnx+/kpKSwLFw2223mefvvfde87h23+16TwR9Xhvy6j7TY0SPudr9qGuDWp3uueeeq7NNug7aKFu/G/S99X+PXHnllea41+NA3y/dHj1OtZFxcAN2/S7R1+u26f0IdNt0fbp37x62werSpUvNeG0oDqB5CN6BH0h/hDRw0yBCf8C0l5FwN2nSwOa4444zNx3S3ha0Bwr9oav9A6c9z2iwrT/CGiQGz+evf/2r+aHUH9UePXpYM2bMsF544YWQ4F0DMQ169EdZp9OgQX9sa/9YamClAZ1/nZKTk02Adt1111nr168PTLd582bTe4UGKbocf88ojz76qAnQsrKyAtuuN0PS6dXvfve7sL2o6HoG9wxSe9CThdo0yNcAyb8c3b96ghDMHwiFG8Ktx2effWb2iwakOpx++ukmqK9Nl6PL0+Xq8nU9NECsTXse6dWrl+k9RU8CdJnXX399ncBd+Y+PcEPtnj/0Rko333yzlZ2dbZavx5qeuDWVbmt9+91Pg2M9YdGAWI8JDaI1YLv88svrnFjo/tKTOA3Cdd10P+rx9Mc//tEEobV7HdIbL+lxpPPU1+g8v/vuu7DrqyeoenKlx6aeZGowGe5GU3pipse7rqP/c6HrX7sHmEMh3PujJx7nnnuulZaWZvaBbr/2wBLuhl+jR48ObI9+VvSEQ+f59ddfN+rzEe441oDZ//2jx4geK3rM1KYnp2effXad8XrSPnjw4EDPQv7PX35+vllHPRHS91UTFP7PTO3ep9atW2e+I7QHJw3wb7rppsANxmoH73qTL/3OOBy9AQGxwqb/aUqmHgAaQy+La0NW7fMbQF3aI5S2adASNi3jOZy09OqSSy4x9z3Q0qSWoGVQWkqljYu1sTSA5iF4BwDgMNObUWmNvvaopDXp2vBc7/Sr7Q/0ucNN83Taw5J2C/r0009LS9C2GlOmTDHtQIIbvQJoGnqbAYAopt2VBvenHk7tO7TiyNOeov70pz+ZBrbaaFPv8PvYY4/J5MmTj8jytQGqNpDXhqR6vDS3B6QfQper3XcSuAM/DJl3AIhi2nuMdv/YUK8udM0HAEcHgncAiGLaTWHtrgrD9W1/uGuqAQBHBsE7AAAAECW4SRMAAAAQJWjFVNOIRi876931/HfCBAAAQOuhvSYVFRWZnptaotF1a0HwXlMzmpOT09LvBQAAABqQm5srnTt3jtn9RPAuYjLu/oMhNTW1pd8TAAAA1FJYWGiSrf64LVYRvNf0f6s0cCd4BwAAaL1sMV7iHLsFQwAAAECUIXgHAAAAogTBOwAAABAlCN4BAACAKEHwDgAAAEQJgncAAAAgShC8AwAAAFGC4B0AAACIEgTvAAAAQJQgeAcAAACiBME7AAAAECUI3gEAAIAoQfAOAAAARAmCdwAAACBKtJrgfcaMGWKz2eSWW24xj6uqquSOO+6QgQMHSlJSknTs2FGuvPJK2bFjR8jrKioq5KabbpKsrCwz3XnnnSfbtm1roa0AAABAa1VeXi6FhYURB32+tWsVwfuSJUtk5syZMmjQoMC40tJSWbZsmUybNs38++abb8q6detMcB5Mg/25c+fKnDlzZOHChVJcXCznnHOOeDyeFtgSAAAAtEbl5eXSvWuypKWlRRy6d+/e6gN4Z0uvgAbbEyZMkFmzZsl9990XGK87cN68eSHT/t///Z/8+Mc/lq1bt0qXLl2koKBAXnjhBXnllVdk9OjRZppXX31VcnJy5KOPPpKxY8ce8e0BAABA61NZWSk7d3tk09KukppSN39dWOSV7kO2mOni4+OltWrxzPsNN9wg48aNCwTf9dFgXUtr0tPTzeOlS5ea8poxY8YEptHymgEDBsiiRYsizkdLbWpfJgEAAMDRLzXFHnGIBi2aeddSFy2J0bKZhugljDvvvFMuu+wySU1NNeN27twpLpdLMjIyQqZt3769ea6++vrp06cfgi0AAABANPFYXvFY4cdHgxY7xcjNzZXJkyebMpeGLk1odn38+PHi9Xrlz3/+c4PztizLZOgjmTp1qsni+wddFwAAAKC1a7HMu5a87N69W4YMGRIYp41MP/30U3n66adNaYvD4TCB+8UXXyybNm2S//73v4Gsu8rOzjZ1Sfn5+SHZd53vyJEjIy7b7XabAQAAALHFK5YZwo2PBi2WeR81apSsXLlSVqxYERiGDh1qGq/q38GB+/r1600D1MzMzJB5aOAfFxcX0rA1Ly9PVq1aVW/wDgAAgNjkred/0aDFMu8pKSmmYWkw7addA3QdX11dLRdddJGpif/Pf/5jsvL+OvY2bdqYWnftkWbixIly2223mdfp+ClTppi+4RvTABYAAACIJi3eVWQkeqOlt956y/x9/PHHhzz3ySefyKmnnmr+fvzxx8XpdJoMfVlZmcnov/TSSyZzDwAAAATzWJYZags3rjWyWdq6M8ZpV5GaxdfGq8E19QAAADg64rXCmtfnftspYj/vOX22t/p4sNVm3gEAAIBDzRvlDVYJ3gEAABAzvGKJJ4qD9+i4lRQAAAAAMu8AAACIHV7KZgAAAIDo4Iny3mYomwEAAACiBA1WAQAAEDO8NUO48dGAzDsAAAAQJci8AwAAIGZ4InQVGW5ca0TwDgAAgJjhsXxDuPHRgLIZAAAAIEqQeQcAAEDM8NJgFQAAAMCRQOYdAAAAMcMrNvGILez4aEDwDgAAgJjhtXxDuPHRgAarAAAAQJQg8w4AAICY4YlQNhNuXGtE5h0AAACIEmTeAQAAEDM8UZ55J3gHAABAzPBaNjOEGx8NKJsBAAAAogSZdwAAAMQMT5SXzZB5BwAAAKIEmXcAAADEDI/YzVB3fHQgeAcAAEDMsCI0WNXx0YCyGQAAACBKkHkHAABAzPBEeYNVgncAAADEDI9lN0Pd8RIVKJsBAAAAogSZdwAAAMQMr9jEGyZ/7ZXoSL2TeQcAAACiBJl3AAAAxAwPDVYBAACAaG+wakk0oGwGAAAAiBKUzQAAACDGGqzawo6PBmTeAQAAgChB5h0AAAAxwyt28URxV5EE7wAAAIgZHhqsAgAAADgSyLwDAAAgpspmvFFcNkODVQAAACBKtJrgfcaMGWKz2eSWW24JjHvzzTdl7NixkpWVZZ5bsWJFndedeuqp5rngYfz48Ud47QEAABANPJYt4hANWkXwvmTJEpk5c6YMGjQoZHxJSYmceOKJ8uCDD9b7+kmTJkleXl5geO655w7zGgMAACAaeWp6mwk3NMW9995bJ4GcnZ0dcfqFCxeauDYzM1MSEhKkT58+8vjjj0dfzXtxcbFMmDBBZs2aJffdd1/Ic1dccYX5d/PmzfXOIzExsd6dBQAAABxq/fv3l48++ijw2OFwRJw2KSlJbrzxRpOs1r81mL/uuuvM39dee230ZN5vuOEGGTdunIwePbrZ83jttddMaY3uwClTpkhRUVG901dUVEhhYWHIAAAAgKOf17JHHJrK6XSaBLJ/aNu2bcRpBw8eLJdeeqmJV7t16yaXX365KQ//7LPPmrZMaUFz5syRZcuWmbKZ5tKsfffu3c0OW7VqlUydOlW+/vprmTdvXr319dOnT2/2MgEAAHB0KqyV1HW73WYIZ/369dKxY0fz/LBhw+SBBx6QHj16NGo5y5cvl0WLFtWpPGm1wXtubq5MnjxZPvzwQ4mPj2/2fLTe3W/AgAFyzDHHyNChQ81JwQknnBD2NRrg33rrrSFvUk5OTrPXAQAAANHBE6G+3VPTVWTtmPCee+4x9e21abD+8ssvy7HHHiu7du0yQfjIkSNl9erVpq49ks6dO8uePXukurrazPeaa66JjuB96dKlsnv3bhkyZEhgnMfjkU8//VSefvppU9pSX91QJBqwx8XFmTOhSMF7fWdQAAAAOHp5a3qcCTfen2BOTU0NjI8UM5511lmBvwcOHCgjRoyQnj17yuzZs0OSxLVpmYy2+Vy8eLHceeed0qtXL1NO0+qD91GjRsnKlStDxv3iF78wLW/vuOOOZgXuSs92qqqqpEOHDodoTQEAABArUlNTQ4L3xtKGpxrEawK5PlrurXRazdhr9j0qgveUlBRT5lJ7o/Uyg3/8/v37ZevWrbJjxw7z+LvvvjP/+hsFbNiwwTRWPfvss02D1TVr1shtt91mGgRoVzwAAABA4+6w+sP6cdGqkbVr18rJJ5/c6NdYlmVe1xQt3ttMfd566y0TiGtvNEpvvqSP//KXv5jHLpdLPv74Y9NSt3fv3nLzzTfLmDFjTJc9zc3cAwAA4OjlsewRh6bQHg4XLFggmzZtki+++EIuuugi047yqquuCrSxvPLKKwPTP/PMM/L222+bzLwOL774ojzyyCOm15mo6uc92Pz580MeX3311WaIRBsU6E4DAAAAjqRt27aZcpe9e/eaLiKHDx9u6ti7du1qntcbh2oFiZ/X6zUBvQb72sWk1sfrjUi1r/emsFmar49xepaUlpYmBQUFzapxAgAAQOuO1wprXv/U0uGSkFw3f11WXC03D1nc6uPBVl02AwAAAKCVls0AAAAAh5MnQn17U2veWwrBOwAAAGKGJ+JNmqIjeI+OtQQAAABA5h0AAACxw2vZzBBufDQg8w4AAABECWreAQAAEDO8EWref+gdVo8UgncAAADEDK9lN0O48dEgOtYSAAAAAJl3AAAAxA6P2MwQbnw0IPMOAAAARAlq3gEAABAzvFFe807wDgAAgJjhiVAio+OjQXScYgAAAAAg8w4AAIDY4aVsBgAAAIgOHstuhnDjo0F0rCUAAAAAymYAAAAQOyyxiTdMg1UdHw3IvAMAAABRgq4iAQAAEDM8UV7zTvAOAACAmOG1bGYINz4aRMcpBgAAAAAy7wAAAIgdHrGbIdz4aBAdawkAAACAzDsAAABihzfKa95psAoAAICY4RW7GcKNjwbRsZYAAAAAyLwDAAAgdngsmxnCjY8GZN4BAACAKEHNOwAAAGKGlwarAAAAQHSwLLt4LXvY8dEgOtYSAAAAAGUzAAAAiB0esZkh3PhoQOYdAAAAiBI0WAUAAEDM8Frh76aq46MBwTsAAABihjdCg9Vw41qj6FhLAAAAAGTeAQAAEDu8YjNDuPHRgLIZAAAAxAyPZTNDuPHRgLIZAAAAIEqQeQcAAEDM8NJg9dCYMWOG2Gw2ueWWWwLj3nzzTRk7dqxkZWWZ51asWFHndRUVFXLTTTeZaZKSkuS8886Tbdu2HaK1AgAAAFqPVlE2s2TJEpk5c6YMGjQoZHxJSYmceOKJ8uCDD0Z8rQb7c+fOlTlz5sjChQuluLhYzjnnHPF4PEdgzQEAABB1DVatMAMNVhtHg+0JEybIrFmz5L777gt57oorrjD/bt68OexrCwoK5IUXXpBXXnlFRo8ebca9+uqrkpOTIx999JHJ2gMAAAB+VoTeZnR8NGjxzPsNN9wg48aNCwTfTbF06VKpqqqSMWPGBMZ17NhRBgwYIIsWLYr4Oi21KSwsDBkAAACA1q5FG6xqqcuyZctM2Uxz7Ny5U1wul2RkZISMb9++vXmuvvr66dOnN2uZAAAAiF7emjKZcOOjQYtl3nNzc2Xy5MmmzCU+Pv6QztuyLNPANZKpU6eakhv/oOsCAAAAtHYtlnnXkpfdu3fLkCFDAuO0kemnn34qTz/9tCltcTgc9c4jOztbKisrJT8/PyT7rvMdOXJkxNe53W4zAAAAILZ46SqyeUaNGiUrV6403T/6h6FDh5rGq/p3Q4G70sA/Li5O5s2bFxiXl5cnq1atqjd4BwAAQGzyhutpJkIpTWvUYpn3lJQU07A0mPbTnpmZGRi/f/9+2bp1q+zYscM8/u677wIZdx3S0tJk4sSJctttt5nXtWnTRqZMmSIDBw5sVgNYAAAAoDVr8d5m6vPWW2/J4MGDTW80avz48ebxX/7yl8A0jz/+uFxwwQVy8cUXmz7hExMT5e23325U5h4AAAAx2M+7hB+igc3S1p0xTruK1Cy+Nl5NTU1t6dUBAADAIY7XCmtef+6HEyUuyVXn+aqSSnl7zAutPh5s0a4iAQAAgCPJG+VdRRK8AwAAIGZ4ozx4b9U17wAAAAAOIvMOAACAmOGN8sw7wTsAAABihjfKg3fKZgAAAIAoQeYdAAAAMcOq6es93PhoQOYdAAAAaKJ7771XbDZbyJCdnR1x+jfffFPOOOMMadu2relHfsSIEfLBBx80dbEE7wAAAIi9mndvmKGp+vfvL3l5eYFh5cqVEaf99NNPTfD+7rvvytKlS+W0006Tc889V5YvX96kZVI2AwAAgJjhPYQNVp1OZ73Z9mBPPPFEyOMHHnhA/v3vf8vbb78tgwcPbvQyKZsBAAAAahQWFoYMFRUVEsn69eulY8eO0r17dxk/frxs3LhRGsvr9UpRUZG0adNGmoLgHQAAADHD20DZTE5OjqSlpQWGGTNmhJ3PsGHD5OWXXzZ167NmzZKdO3fKyJEjZd++fY1aj0cffVRKSkrk4osvbtL6UzYDAAAA1MjNzTUNSv3cbreEc9ZZZwX+HjhwoGmA2rNnT5k9e7bceuutUp+//e1vpsGrls20a9dOmoLgHQAAADHD20DNuwbuwcF7YyUlJZkgXktp6vP3v/9dJk6cKP/4xz9k9OjRTV4OZTMAAACIGZZlizj8EFobv3btWunQoUO9Gferr75aXn/9dRk3blyzlkPwDgAAADTRlClTZMGCBbJp0yb54osv5KKLLjINXK+66irz/NSpU+XKK68MCdz1sda6Dx8+3NTI61BQUNCk5RK8AwAAIGZ4xRZxaIpt27bJpZdeKr1795YLL7xQXC6XLF68WLp27Wqe137ft27dGpj+ueeek+rqarnhhhtMdt4/TJ48uUnLpeYdAAAAaKI5c+bU+/xLL70U8nj+/PlyKBC8AwAAIGZ4D+FNmloCwTsAAABihhWhceoPbbB6pFDzDgAAAEQJMu8AAACIGd4oL5sh8w4AAABECTLvAAAAiBlWlNe8E7wDAAAgZlgRymaiJXinbAYAAACIEmTeAQAAEDMsk2UPPz4aELwDAAAgZnjFZv4Xbnw0oGwGAAAAiBJk3gEAABAzrCjvbYbMOwAAABAlyLwDAAAgZngtm9ii+A6rBO8AAACIGZYVobeZKOluhrIZAAAAIEqQeQcAAEDMsGiwCgAAAOBIIPMOAACAmGFFeead4B0AAAAxwxvlvc3QYBUAAACIEmTeAQAAEDMsuooEAAAAEFNlMzNmzBCbzSa33HJLYJxlWXLvvfdKx44dJSEhQU499VRZvXp1yOt0nL4ueBg/fnwLbAEAAACiI/NuCzNIVGgVwfuSJUtk5syZMmjQoJDxDz/8sDz22GPy9NNPm2mys7PljDPOkKKiopDpJk2aJHl5eYHhueeeO8JbAAAAgGhghQ3cw/dA0xq1ePBeXFwsEyZMkFmzZklGRkZI1v2JJ56Qu+++Wy688EIZMGCAzJ49W0pLS+X1118PmUdiYqIJ7P1DWlpaC2wJAAAAcJQH7zfccIOMGzdORo8eHTJ+06ZNsnPnThkzZkxgnNvtllNOOUUWLVoUMu1rr70mWVlZ0r9/f5kyZUqdzHxtFRUVUlhYGDIAAADg6GfVM0SDFu1tZs6cObJs2TJTElObBu6qffv2IeP18ZYtWwKPNWvfvXt3k3FftWqVTJ06Vb7++muZN29evfX106dPP6TbAgAAABy1wXtubq5MnjxZPvzwQ4mPj484nTZADablNMHjtN7dT0trjjnmGBk6dKg5KTjhhBPCzlMD/FtvvTXwWDPvOTk5P3CLAAAA0NpZUX6H1RYrm1m6dKns3r1bhgwZIk6n0wwLFiyQp556yvztz7j7M/B++pra2fhgGrDHxcXJ+vXrI06j5TepqakhAwAAAGKAFd11My0WvI8aNUpWrlwpK1asCAyaMdcyGP27R48ephQmuPylsrLSBPgjR46MOF/tSrKqqko6dOhwhLYEAAAAOMrLZlJSUkyZS7CkpCTJzMwMjNc+3x944AFTCqOD/q09y1x22WXm+Q0bNpjGqmeffbZpsLpmzRq57bbbZPDgwXLiiSe2yHYBAACgFbMidAsZJWUzLdpgtSG//e1vpaysTH79619Lfn6+DBs2zNTIa+CvXC6XfPzxx/Lkk0+aLie1bl17rrnnnnvE4XC09OoDAACgVd6kScKOjwY2S1uAxjhtsKp9wxcUFFD/DgAAcBTGa4U1r+/+4t1iT6zbWYq3tFw2/eL+Vh8PturMOwAAAHAoWfQ2AwAAAOBIIPMOAACA2GHZwjdOpcEqAAAA0LpYUd5gtcX6eQcAAADQNJTNAAAAIHZYEe6mSuYdAAAAwKFE5h0AAAAxw4ryriIJ3gEAABBbLIlaNFgFAAAAokSjM+/ffPNNo2c6aNCg5q4PAAAAcNhYsVI2c/zxx4vNphsb/jqD/zn91+PxHMp1BAAAANCU4H3Tpk3sMAAAAEQ3K7q7imx08N61a9fDuyYAAADAYaflMeFKZI6yspnaNmzYIE888YSsXbvWlMr07dtXJk+eLD179jy0awgAAACg+b3NfPDBB9KvXz/58ssvTePUAQMGyBdffCH9+/eXefPmNWeWAAAAwJErm7HCDEdr5v3OO++U3/zmN/Lggw/WGX/HHXfIGWeccajWDwAAADh0rOiueW9W5l1LZSZOnFhn/C9/+UtZs2bNoVgvAAAAAIcieG/btq2sWLGizngd165du+bMEgAAADj8LFvk4Wgtm5k0aZJce+21snHjRhk5cqRpsLpw4UJ56KGH5Lbbbjv0awkAAACgecH7tGnTJCUlRR599FGZOnWqGdexY0e599575eabb2a3AgAAoFWyLN8QbvxRG7xrpl0brOpQVFRkxmkwDwAAALRqVnQ3WG12P+9+BO0AAABAKw7e9+3bJ7///e/lk08+kd27d4vX6w15fv/+/Ydq/QAAAIBDx4rQOPVobrB6+eWXmzusaneR7du3N2U0AAAAQKy49957Zfr06SHjNC7euXNn2Onz8vJMxy5Lly6V9evXm3aiTzzxxJEJ3rVnGR2OO+645rwcAAAAaBE2yzeEG99U/fv3l48++ijw2OFwRJy2oqLCdLd+9913y+OPPy7N1azgvU+fPlJWVtbshQIAAADR3mDV6XRKdnZ2o6bt1q2bPPnkk+bvv/71r3JEb9L05z//2Zw1LFiwwNS/FxYWhgwAAABANCqsFddqxjwSLX/R7tK7d+8u48ePN/dAOtyaFbynp6dLQUGBnH766eaOqhkZGWbQ8fovAAAAEI13WM3JyZG0tLTAMGPGjLCzGTZsmLz88svywQcfyKxZs0ytu968VBPbh1OzymYmTJggLpdLXn/9dRqsAgAA4KiRm5srqampgcdutzvsdGeddVbg74EDB8qIESOkZ8+eMnv2bLn11ltbV/C+atUqWb58ufTu3fvQrxEAAADQQjXvqampIcF7YyUlJZkgXktpWl3ZzNChQ81ZCQAAABCVwbsVZvgBtDZ+7dq10qFDBzmcmpV5v+mmm2Ty5Mly++23mzOMuLi4kOcHDRp0qNYPAAAAaHWmTJki5557rnTp0sXctPS+++4zDVyvuuoq8/zUqVNl+/btpi7eb8WKFebf4uJi2bNnj3mspej9+vU7vMH7JZdcYv795S9/GRinN2qyLMv86/F4mjNbAAAAICq6ity2bZtceumlsnfvXtN/+/Dhw2Xx4sXStWvXwE2Ztm7dGvKawYMHB/7WmzVp+1GdfvPmzYc3eN+0aVNzXgYAAAAcFebMmVPv8y+99FKdcZro/qGaFbz7zygaMm7cOHn++ecPe+0PAAAA0ChB3ULWGR8FmhW8N9ann37KnVgBAADQatgs3xBufDRoVm8zAAAAAI6yzDsAAABwNDZYbSlk3gEAAIAoQea9BVR59onXKpM4Rzux21wtsQpRqdJbKYVVBZLgSJQkZ1KD02uL7vyqAvNvhitN7LZDf65qeQtFdHBkis2WUGv51VJSmSuFVR5JdXeS5LgE8Vpe2Vu2XSyrSNLdnSW/yisey2vO9pPj4iXNlWheW1ZdKfsrSyQ1LkGSnS7xeHZqf6xSXJ0qJZ5KaeNKkgQd7y0WjzdfHPYMcdiT66zfgcoyKa6qkLbxyWY5+ytKJcnpkpLqIrFZBdI2vq2IVEtB5Rpx2pIlxdVfHHa3FFbulH3lBZLmzpIqz17ZX1Ei7RNyJMHpkUpPoVRbpRJnS5Ny716xLJskOLNkb3mlLMzbLKlxlTIsu7ekxCWJw+6SBEeW6UJW7SopltX7dkl6fLx0TU6TNQe+kWpvsSQ6UqVSisTyxovlaSP5VXnisFVKj7R2kuRyiOVNlIKKaklxx4k7ziubC3ZJXlGBZLgyZEdxqRRWVkq7RKfYHJWS6siRjPg2sq/0gNjFLW6nXaqsEkmOL5dNpZulqtItvVI7yDe79srafXmSYE+QYzPbSOfUNuKwuaSgolwKy7xSXKGvdklqoog9rkJ6pHcQ8bil1FMsbRNSpazKK9sqv5PtlTsky9lOkhzJkl9aLlIdJ2t37ZUSb6Gc0CNdeqTlSEWVVzbuLJID5RVyoPqAJLripW9WO2mXkipeq1q+3bVbVu7eJg5vnHRKbC/xbrt0ykwWl9Mp3+/bI2VFXnHH28VyVYrLFi/b8vfJtgOFUl4mkhmfItlJaVJSVi3xjjjp0SFD4tw2Wb9/t7RJdYsrziFb9h+QRImTwuoK2b+vXPKrSsTjrJY2qUmSGucWT2mc2KtF4m1xst9VJHEpIknlKVKyt1LKy72S4oyXnLbpsr14v6wv2SP2FEuOScmSVEmS/MJSqaq2xO1wSbIrTiptHnPMeaurpdJhSYFUiCVeSY9LkHaOVCksKBOn3SGpjngpLi2X3VIi7hSnlJVUibfEkg7paZKQ5pS4OLuUV3qkvKDarFvntHQ5UFkuWzftk7KCSklOdIsr2SW7KgvF47Qk1e0Wd7VT4l1xMqRnJ0l0umXV1jz5tmSv2Ow2aetOlMKict9r3U5JSHVLSZxHnC6HdE9MlxN7dZc1ubtk3dZdkiZuSbLHyfaKYilyV0u7hERzDCcnuaVPp3ZS5fCKeEXiqu2Sd6BA1h7YI5V2SzqkpUhVpVe2FxVImuWSDu5kKXOJFFWVS3tXovRMTZdvtu+WjcX50iElRfTbf191pXRNSJWurhRZsidP9pWWSjtvvHRypUhcO7fsqCiSoooqsYklqc54qU60yYCu7eX0Hj1l6XdbZd32PTKgU7b0bd9WvliyQdYV50u7jGRp43TLtzv3SnFppaQluiU5K1F27S+SdKdLOrZPE2d8nPTrlC1tU5JkY95eOVBUKscf21kS0xJkde5OWbYuV+zVNkmznJIgDumZkyUlRRXiSHRKQrJbMpMSZN36XbJuY55IRpx0bJshmRnJkpaWIHt3FMjaddulvKxSuvRqJz17ZktmerLszi+Stet3iLPKK50y0yUtI1Gq3TY5UFIhKTanJMa7JDU9UdzikO278+Xr3J3SMzNd+nZqL9WV1bKvqNT3femxpKyiStrnZEpySry0TU2SOKdDiksrZOPmXZKekigZWSmyYfse2bJljzhcTknPSJJEt0t6dsyUJLdL1q3fIYVllZKTkynt26SK0+H7fSgqLZei0grJSE0Up90uewtKzGcoM9X3m1NeUSX7CkvEW1opbodTMrPTxOF0mOc8Xq/syS8Rh90mWelJge+9YFWV1bJ/Z4G4E+Ikva3vDp4Vum0FJZKU4JK0ZN/vSMHeIinX9WifJi637146ZeVVcqCwVFKS483x3xQH9hRIRWmltOmQLnGuuPDTFJSa7WuTkSSuuIbDQ4/HK3v3FUuc0y4ZGeG3F4eHzToUfdZEkJKSIl9//bX06NFDWjPtUD8tLU0KCgqadTvcxioo+0jyCp6S0kpfB/12W4pkJV8mHdImhw284HOgMl/e3jFXPt+3SKqtKjOuX+oAOa/jT6VHcq86u0kP6f/u/kze3vGB7KrYY8ZlxKXLWR1GydkdRovD5vui/SGsqlViFT0lUrmg5jpbnEj8uWJLuVnEnimb9/yfPL95pXxW0E48Yhe7WPKT9DIZnbZMjk/aqnG4VHrt8nF+d3ll13GyuyrJzOW49K6S4EiQL/dulGqrWsZlrZGLstdKquOAWe6uimT5167j5OP9A+TUrBK5oO3b0sZVJCIOSU04W9qmTRF3XC/5cs8WeXrtp7J4j6/fWIfNJl7LkkR7mVzQ6RsZmbVBnHaPmE9/0BeuPq6w3GKJR/ZVJMs7uYPkm/2d5LSO6+TE9uslwVkdmK5a7OIVu+wsSZWXvx0pByoSxaq5mNc9dY+c1HGddE7Jl6z49lJWcaE8unSf7Ndos0bnlH2SFFcpG/a3F4/X9550Sd8rw7tskOzUA2be+0uS5MvNPWTD3vZiWTpvSxLjKqW0wm16BdCARuTg+rucVXJ8ty3SOXOffLWhh+zKT5chx26U7MyCwGYWl7pkxXfdZM/+9KDXWuKKq5LKilon0+bb0RK7zSuWxxGYvl32Pul27C6x2f3Lt8z/8/cly/df54hYdklvXyjZvfZInMtr9pe5SqvrXLNIr0dk39YMyd+aJp7Kmh9KyxKH2yMZvfdKfJvKwLT6eo/HJlWlTnEmecx4jWHKdyVIycY08ZQ5A5d79SX2zDJJ7FskNqdvpOW1SeXWBLN8Z4dysbks33uYGy+e3AQRfb3ZgV6xdS4XySkXW6FDvOsTxVbo+6G3dFvtlni7l4vVvkoPORGPiOO7eLHnuUTfDf8+s2yWeNpVS3XHSvEme/UAPLhPS0Vca91SleWR6mx9TsS1wyHuzXHiKPMdP16XJeWdq6Uip9r3DlfaxPK/NXqSscMhCRvtUtHBkrJOXvH6znnFVini2mcTd55IVRublHewxKrZtLgDIkkb7RKfb5eKNK8U9rSkOqXmdXprklrn9o4SkZQtNonfYUlVqk0Ke4pUpenK1UxQM717n0jqRt92H+gtUm1ivIP7IvDx8gb9GxgZdPxW68T6f31zaw4Yu+85e7kl3jg9dmwmcE3b7JHkXI84fF+HUpUgUpLtkOIujsBrHOWWpGyplqSt1fq2mdmVtbVLaTu7JO7yrYx7n0ecNbdlKezqlKIucWLF+V5vq7IkZXOlpG6qCrxe18s06LNE9COr+63m6Jeydg4p7O4Wy2UTr8u3c5zFHkneUi7VLrtUtomTqtSa9fNvX81+sFV5xXLUbJ9XZ16zW8yBbomt0pKU9cUSv79Sio9JlvJ2GrgePKbinU5JsTlkT3m5eY3N6/W9tmZ+CdtLxbW7XMo6J0lcUaU4S6qlLCdZqlN9B1WczSbjhveTPQeKZdHqLWb1dDWdDodUVft2UPcObSQzJVHWfvKtuL/bJ87iSjM+KT1Rzp94qlT1zpJ/fPK17D1QYsZ3aZ8hV549VM47eYDZrrLicvnbo+/Iuy8ukOKCUt88B+ZIyo+6yhf7C0wAr/rEx4tr7U7Z8o2vb/CE5Hg5ecKJUtg5Qz758nup9njNZp14Qg+ZePFI6d29vdTny/eWy6v3/VPWfr7OPE5MTZCzJo6SK35/kSSl+U5IFn+1UV7+++ey+tsdvmkSXHLO2EFy1fiR5oS1tsrKann974vlX28tk4JC33d6j+5tZcL44XL6qY2/0VBLxGuFNa/v+tB9Yo+Pr/O8t7xcttzxu8MeD7bq4H3GjBnyq1/9StLT0xs17V133WXu3PrEE0+Ycbpq06dPl5kzZ0p+fr4MGzZMnnnmGenfv3/IrWj1Dld/+9vfTM82o0aNkj//+c/SuXPnVhW87y1+Tbbun1rzje//Fld2SYjrI8e2/ycBfBj5lftlxtrpUlhVKN6g/abhsH5533jMLTIgLfSOvi9tmiMf7Ppv2Pfhx21OkMnHXPuDsvBW5Zdi7f9FzfsYfEMy/TVLk/WV3eSmdR2kzOs0AagalLRT/tD1E/PIEdScvdqySWG1W25cf5bsrkyWahOg+tyUs0BOzfg++Dfc/K7p3x/u7SPPbj1RUp3lcn/vtyTLpT8YDrHb4iVPHpdffbHc/LZpwB605pIRVypT+7wraa7ymt/Pg8GkmaIm2Kj22uT3y8+X/Iokua7fAumSvD+wDsHT5ZWlyCPLzjLzCf4xtdX8+l5y7BfSJWW/PPrlWKn2BmVyLP3B9IjHq6c19lqvEzmv33JJdZfJ35cNlyqPI2SamjOOmo9RIGQ8OGOxSe9O22RIj81S4okXh933Y6eKS93y3yUDxFOt8wzzWhOY1Moe+XehxgNik3Yd9kv3Y/NqNtdW5/VFBQmyd1eadOi137eqIWWUvul1/Lavs6V4j/8K0sFgzplQLe2H7hS74+CrNHD3ek1kJ8GHrrlo47HJ/iXtTPbcf7Khc0scvlcc8XriYJPyb1LE0bFC7G2qAvuian2SeLZo1Bt8AlSzzKwqsQ0o9gVmy1NE8uPEcnnEc0KJSJwehL794fw6UWz7naF7smZ2lv7htKR8SKlY8YGRvl1ZaBdL8xWWSPz6OInfGmem98/HvFbXMcsrxf0q6+5rfbrKJpbTVnf1ddA4SA/YWm+PSl1tk/g9dtl7vFc8KfX0LlEz36TNIqnf2/Sii+we5g8qwxwfGsgGnwz7T6b80a3VQFd0gTO82sdl6DHY/qsqcR/wvce1VlUKujukqNvBE0GVsMsrmd9U+t7Lmt7x9gxxS9K2aknY5zFBfmH3OCnqrsdP8NmGbx7x+zzSdlm52TZ/AO8Prv37Tue577gEqWij34HhvlBqgv6QL5Fa224Cbf88Q0/K/duSvKlUSjsniNRkyevuP5sGNSEnPr79ZpkThMz/7ZGK9vFS0js97LYe/F7xqf0+JH63T5K/21/nkCs6IVsq2yXXfYGITBg7RK4/d7jcfs7DsmHlVvF6gja85tgo7ddeKru1kbit+ZKwPDdk2d5El5SO7CVWXOi+tdtt4rDb5clpF8nxfcPHO++/+Ik8OvHPZlqv/nj4X+uwS5e+neSJhffJgi83yENPvl93GrtNuuZkyjMPXyZJQVl+DdzvuPv/ydcrt4X0V15zniUTrzpZLr9spBwuBO8+zYpg3nrrrbDD22+/LfPmzQvcxElvC9uYwH3JkiUmQB80KDQIe/jhh+Wxxx6Tp59+2kyTnZ0tZ5xxhhQVaabR55ZbbpG5c+eajvIXLlxobjd7zjnntKq7vGrZwdb902oeBQfuvsdlVd/KrsLnWmDNWr9/5s6pE7grfayX4l/cNFOqvb6Mhfqu6PuIgbv6cv8y+WL/smavj2V5xDpwe03QXvsY00x2vjy6JSkkcNf89JROn5vse3Dgrpw2vRReIb/u+JV4AoG7TYak5Mppbb43X4jBv0H+v8dkfSsDU/KksDpBXtk+LLB8LccqKf6dCX5CA3fffAuqEuS9nQPCBu5miprHTrsl53VZISd1+L5O4B483Wfbe9cJ3M1+MlsrMnfDEImzV8vwjhtCnneIt07gfvB1Nvlg3UCZ9+2AuoF78MLN6LrbqL7b3lmKq9zidPiy1H7Lv+sWIXA/+No6T/gf63th90q3Y7WEKcKENpGU9DLp0HNvndggePrCXclSvEej19r7ziYZx+yvyegHZd2r7GZ7a59z6mObw5LUvvl1llO+VhMRNqne5TYXhoIDd2+BsyZwr70dNeuz1yWy2+XbpAHFZj97e5YfDNx19++Mqxu4h+xGmwmw475314zzZZY1KWrVnLM4Cu0mcA9MH5iF73+uvQ5x7Tl4xSOwT3TQwD3c6psZR34fC/ta5spAwn4N9GpNE2b6km4iVakihf4LyJGOD4e54HJwL9YkfkNXvJ6yAhP9+LcuwjJslsQVhgbuwU+nbvKIozTorEEzvtkOKWvvONg9nlekzZpKye/jND9HZZl2X+Duf02tdSrPdEhJJ98Jge+w1w9C6ElPaXZc3cA9eH5Om1h1vkTCbLv/BKHOMeV7XNwtse58ws2w9jR2m1hxdikcmC4lx6ZF3Fb/MRpmDcRRVGkC99rPVXRIlsr24QN39doHS+WZR9+S77+pFbirmocJa3eJrahcEr7eVmf+5f06iqVlObXWVwNtLVv54zPvhQTdfoX7iuTJX80MTBvyWo9Xtq7dLrOn/0Mee2Ze+Gm8lmzJ3Sev/eOLkPHvvPe1fL0yt86NhvwPX5j9meRu8+2nVs2yRR6iQLOC9wsuuEB++tOfmn9rD2PHjpVevXrJKaecYrLlDdFge8KECTJr1izJyMgIjNcDQzPwd999t1x44YUyYMAAmT17tpSWlppbySrNlL/wwgvy6KOPyujRo80tZ1999VVZuXKlfPTRR9Ja7Cv5R5igPZhX9hS/LJam0RBQXF0sS/OX1Anc/TRALaoukm8KfGVI6qNdC2qy8uHZxSYf7Zrf/L1cuUjEmxfx/dxSniyry7ICgbsakpwnmXFlIZUDtQP4kWm5kuHUS6m+ic7MWiOeer5E9LmzstaY5Xx5oJsUVvkv/3mlR9Ju6Za4N+zrdPoqqyZ4rec7Sr+Ih2ZuMaUykSar8Djlq93dw/zM+dnMNGv3d5RhHTcGzVwTYXUD9+DXlVe7ZGdxeuRp6p4vhHA6qsRhSkYOTlRa5pI9+/WHO1zg7p+vrd7lZWXvr1OqE25Cu80KZKLCxYf5uboedZ9xxFdLfJuKOglBu8s3v7BLtIu4MirFkVgVVK1hE2+By2Tmq3ITxNn5YLmSqt4e30CHxpZY29y++M9tidWuUqys6pBfDPu2BmpuTRxkE8depyl7OTj64N+ubU4TSNezFuLeHqb21nw2wrwukOGu5320i1Rki5RnNfKis1ekuLMl5do8JPIhGy5RHLpeDalZb1u9626Tsvb1/2wn59VKKngtKe58MPjT/8aVWOIqsqS0g0MqsjSIr38Fi3IO1kj7TkxC17Gkc1zD22ZreL/V+7GuncmIMLuIHxS7TaraaLld/asaaQUSthSEjevKu6bVu/+0/v2dxd+KVd8+tnwBvLlCEDTaGx8nnrYpEbdbEzR5uwtl2WpfiU2weS8vEE9NyU/Y13q88s7MeVJdVR15Gq8l/35vhSnV8fvX2/Unv3R7//Puwd/kVsuqZzhag3fNrv/oRz8y/2oArYP+/eMf/1j+85//mJsz7du3z5SzNOSGG24wd2LV4DuYZu937twpY8aMCYxzu93mpGDRokXm8dKlS6Wqqipkmo4dO5pA3z9NOFpqo5degofDqaJKs471f+loo0OPNnxEwN6K3REDdz8N1PPKfHV6Krd0e72v0Xz9ttKD0zdZ9cZ6PzZbK+q2XejsLqw3EFf63dzJrRlOn5z4/DpZ+mD6XNcEX3bD1J1XhpZ7dYr31ciH0y5oOfX/TlqS7i6P+FuoNe7VVv3tB3Qee8pSJCO+zNSNBy2h/uU38L43NJtEd1Wd37uiMj3B8YXezZmnjk9MqogcHNQIn3EPfU1Fidba1p2PM6EqzPwalwlyJlXXWpRNvFU28ZY4xZYYegXCKtYa+frmaxMpcRzcnrTQwN1MUaKnwvVlkv3/2MRWGv4z4yjW7HfkeZjgv7QRmdZGja+htf5Jlni0XWBjdq1dfLXxDf1aBgWo4Q+RhhfW4BReS6qS65/KWWLVDVqT/ZcEDr42rtgrVUl20wC23qDYZjPT1bey1fp8fZ+LBk62m6S+pENDr9Vjrd7DPvKTmnkP95XsSXbVu/88XktKa9oA1MdRcvDk28+r9eYNfN/o05u318105367Xez2+pdbWVIh9noCfFVcovHSwZP/bdvz656c1treLVv31TtPtFBvM1qXrmUuI0cerGvSWvP4+Hi59tprZfXq1SZr/stf/rLe+Wipy7Jly0xJTG0auKv27UMbY+jjLVu2BKZxuVwhGXv/NP7XR6qv11r6I8VuS2zEN5dm6+o2nohlbnvD+0Mzc/GOg9NpY8+GBE/fZOa9jBxYJmi3GLVoCY2viKR+Op1fucclllUS8XtbkzilnoONK+PtoUFfuTdyJqw8uPa8AR6v1lWGX3eXI3LGxk+/5HU6raH3NuFyZN3CgIgTRlzv2pzaQ8gP5PE0/CNsa0Ta0e7wireq7omPFWb+NpuvGrwhWvsemjmyAmU1os8Fv4/mqkR9VxBqSk/8qsNMp/MNs58PrlDQ3zUNZ+tMYtrZhi9iCkwT8fywgfWvh03Pc7R8pzHpKz15aWoVZvNXrX76NmrD1voWHWZ/hXuN12kTZ4WIVR32jDP09eG2P7h022OZBqeRV0paB11Ff2PYBiarzXL6vsXrlCxVe3316JHmZd6zBr579KOrDXZrjw7KeEeib5320lNbfHIjf+dqesqpT3xNbzfK7Y6TsjJfY91wtFY+MTEKetGzIhyXreVYPRyZ9w0bNoRt2KnjNm70XR4/5phjZO/e8JfuVW5urjkJ0DIXDfojqX15TstpGuqOqKFptBbff8VAB12Xwyk98eyaFlSROCQ1/jSxNyJYjSXZ8R2knbv+lvTq+PQhgb9HZA5tMFM/MvNHzV8p92m1oppQA5P2SbI99Ivti6LO4q3n10ID8Z0VSbKhLCPwzbHwQI8GA7aF+T3N9O1dBSZT71fqiZNvCjtGzGjvLEttKJlj7C5LMT3NhAuEVYa7VDonacanvrIHu/TJyJPVezuF/Ow5zUlO/d+SDZ4c1PPyknK3VGqdeNBEGSnF4nLpe2M17wvdEtm7M70R11atwJWWg/s5dPq0bF8deW2VRS7xVNpDMlv+nmXq4620S2X+wTIWc33B5RV7nCXO7HLx7HKHzMPRvqL+GerRFzSNtd0totnzoPXytq8KNCwNq6bRqtftFW9S8AYcrCuual9/VKyvr2wXZppIV6XMfBt4f+xiGqy69zT+hzphh14BaMT0/gac9T0ZSeDcq759apOE3ZEPBt187U0mdLGWr3cZU8Plm7fXrmVDDknY5RFXgba0recLwWtJ4s7Q5EDteueEXdX1l95EqHLyzSzsnxGm/QFnRRoXVHnqv8pQU+cWbj0qOiaHXbI7r7jebddZ9m2TZhqJRqKHc2VOep3D2l5QKrbyqjB1WAdpF5cjT9DyxVAn/2x4vWUzuj69R/YWT30nbXabDB3cLSQYP+0nvcVRz7Zoqc0pJ/eO+DxaMHgfMmSI3H777bJnj68bPqV///a3vzXlNGr9+vX19viiJS+7d+8283I6nWZYsGCBPPXUU+Zvf8a9dgZdX+N/ThuwVlZW1qmtD54mHC2/0RON4OFwSnYPkyT3jyMEfb5vtey0mw7rOkQjPQE7r9OFkZ8Xm4zMPEky3ZmBcSe3HSFt4tLD1r3ruHiHW87IPrX56+TIEkm4NOIPSLzdK5e383XJ5ZdfnSDv5feK+P2uvyWzdx1X8/vpm++8/X2k2OMKW26j47Sh6rx9+gVpk4s7LAv57V1ZPEaqveEyHxoW6MmLr1+7SL8H/t/4v2/+kXyyo68voAhXXmyJnNrx24i/zBpA9muzTdomFMtnuccGPyFVJuUZfh/q6/q2y5PhXUMbudbalEBNdbgnE+KqJN70o2cLrLteQe7XY3v9pTPhNsUfL2jjvtIEKSnyld+EXy9tKGyTitKD+z+42tsvI+eA2J0ahNVuwGaTgs1pIe+n+bv64HaEU7Ippaax1cFx7u6+Luvicsqkeke8Lyipifsc2eUi8WGW719PLZHuXOFbpta+VzrEvtnf8NTHk1NpfkHCBptB709Vdy01OrgnzH9rFl2ZXS2W1tSHCcZ1vppFrugY5iTOP7lVz3sYYdNce0WcRb7Me4O0J8tykcSdIinaD4OtkcdjTXuHkHUy/zYQnuqVkojHlq/7xriyCJumn6skbWAa9N2nNdTVIsm5eqnBN199bVEXh7gKvGZIzKsWZ6n2Wx/+Q66rnLKlKjQ5VmvS5NyakpJIXxSNzXLWF5drN6pFHpPprlekD4rNJknrCsRRVBVxW4PXqfYU2jC1OjmuTrVZ/JYCX4Y8zHK1/ju7TYpMvvHs8A2Ya9636vR4qeyaIVVtk0Pmr/vUtX5XxJMrHXvRmYMlXW9GUUu/EcfKcaf1D3vSoL+t+j5e+8BlMnhgjgnS607j26QrLxkRMv7ii35stitcglTHd+2SKSeOOEZaO5sVeThqg3dtJKo16Rqca+NUzbLr35s3b5bnn38+0BB12jR/Dyt1aZmNNixdsWJFYBg6dKhpvKp/a9/wGpxrLb2fBuoa4PvLdTTwj4uLC5kmLy9PVq1aFVLS09L0IO/Z9nlJdvszvhrEOwMlNT2ynpNk98HsMQ76cZvhMr7L5aZvdlP/anMEAvMftRkul3W9KmR3JTjiZVr/KdLe3HxIa8PtgX7d0+JS5Xf9bpU2rowf9n6mThVJuKjWe2k6gRRbym/l0mPulsvabjAhovY0o/3OPJ93gnx0oHsg+K4yZSS+riL/smOIfJTf09Sx22y+HH1hdaJM33Cu7K/ydcuhXUhq6YnaW5ksv1t/jpR54+SqTovlpDZaRuYLhjNTfi2X9H5aRnfsHdh+rUw2LJsck7RT+qXm1Y0ZDybljAqvQ7qn7JO80jR58buTpNzjDEwT/BvXr+0OGZS15WCe3aYV+L4f1z4ZO+T8HivM9sY5gkt1dDstcdira+rgfa/z17n3ytopo3qtloGdtsqQLhvNfjT7smba8A2LDj5IcpfL2BO+kbJyl3z9vS+B4F/vbh12S9/uuUHhuz/XWTND7QolaHxgvjXdROrjNcu7Sbl2yxjoHuPgdBq4r/2qm3y/NEcqSsKVLulJkyVOt0e6nLBDHK6azJi/82wtn9oTLx7tBjFof+t03nJfRt4MQYnU4o0pUpqbFHhjTHmxu1pc2WW+QMvtFXffIqlcnXKw/MUm4hp8QGxJQcv3/2q5LLEfVyi2BK9Inku86xJ8p317XGJfHx8IvDX4rz6+puvI4F3m36M2Syp7losnu9rXMVPNc44SmyQsj/ONc4oUD6kQb4LvSX2NP5DXft2LjqsQr+lmsub1NcvWSZLW12TDa94ffzWbBqtJm+wH1zPoOdc+kbRVdilva0lpp4iH0MF1LRNps1TE7rX5ylH886w134Rdmp0PN6Ogz1VIrBN8AAd9qLy+4yMwznTLeHB+2tPK7uOd4q98C+4cQ2vh9xwXV3Oi6XuNXgRs+1WF2Ct989WxxTkOqUi3S+aqStP9pV7gylpRcbBWPmiZ9ipL2n5VJs7SwCfk4Kr5t8Km+8mSNsvLDpYXeQ/Ow1nsleTN2tVk0PYEH9yBHRT8Waq1D8xx45HErWWm55rQs7dAH5ah1y3861CzzJS1BRJX7JG0r/eKs7Cyznpqt4u6MQ6HlgoePIWy23yPNctyYERn8aS4Q/a9o7xaOnybL2mJ8YFMuD8zndM+Q5694+cy6Me95Pev3ijxSb5pHHEOcThr7mmQkSilP8oRZ5xTKoZ1k+osX7spfd4Z55C43P2SuHG3SfLouuj8/cH2eaMHya8v/4lEijumv3m7CeCD56cb5k50ye/m/EYG/aSf3Hf3T2XwwC6+aRy++fvLY+6941w5rn9oErZrlyx56P6LJTnZXWd7e/RoJ488eIk4G1GK0+KseoYo0Ox+3vVlH3zwgaxbt8783adPH9ONY0MNJOpz6qmnyvHHHx/o5/2hhx4y9ekvvviiOUF44IEHZP78+fLdd9+ZG0Ap7UdeG8m+9NJL0qZNG9NIVhvLambf4XC0qps06X4qrfxaDpR9YLr0S4jrLRmJ54vDXvesGXV7nvli3yLZU7FbEh1J8qM2w6RDQvjSEKV3Mv3mwGpZVfit2e/HpvSUIRnHidN+6G4qbFVvFin/j1jeA2JzdBSJP19sDt9VAMuqkJ0H5sqHO1fJ3iqbZCb0ktEdx8n24uVSWvKmuGzFUuzNktVlg2V9SZW5u2r3pHYytuMgSXclyTvbv5a8sgOS4XLLmKz9kmJbLQWV5bK0oK1sKO8jnRIzZWyHdmKvfleqPbvF6WgnaYkXSpxTy1N8vivYJe9tWyPFVZWSFZ9k7ky4p6xYCir2yDHJqyXTVSAdEt0Sb98hFZ4dYrO5pE38KeJyjpRlez+Skup8qfZWyfqCFCmqcsoxqWUyINMmHu9W001nlafKF8vYbLK/PFPmrO8uhZUOyYgvlYFt9snIjsnSKekY6Zw0Qjom/liW78mT+7/4RDYVHpA4u036td0uOenrZXN+mhRU6N0MPZKdXCilVXFS5bVLsqtSEuKqJc1tl4372kpJRYIkuKolK3mf5B5IlKJyl1RWOyW/OEmqPQ5JdFdK93a7JD2pXNZtz5Gd+enmd9sdVy19uuyQzPT95qShssop+wsSZc+BNCkoSjYNQl1xlZKZXiyVlS4pKnZLSWm8VFf7vj8S4yskK6tASgrTxVuVaKaPc1iS1WmnJGXuF7vdFzB4qm1SVeWQbeuypeiATmeXjOwCye6xT7zVTikvdUhpoVvik6olLqnS9OOuP8ZFexOldL9bKkvipKrCd3wmZJVKcodSX726qXnXKEKzo3apKosTb4VdqkvjpHxngnjKHL46CJ3UboktpVLic8rEmVblC+xMrGMTT6VNqvM0WrOJLd5jBq9m3/fHiXe/W6xKm9iSPSKpvsaplnavvi5JrErtA1HE664SW4beTEdEMqvFSvaIVSJiy48Thwb2WlajJ6XxXvGmVos33SO2crt4U/Rxzeu0QqPcJrYimzh2OMWbYomnvdfcAMqp3ULmOU1gXtGuWio7esVeoUGbXRwFNvEkasbXJs5im7h22sXu8WUPK9p5pVLP1TWzqTFZtSXOMpu48kWqMvR1voDUWWAT9z6buWuoHr8VGSKlXYKqeDTB7/TVt2vHT3pTp7hCEU+8TTxxIpVpvoarpjmJXcRRKebkIWG37zX6fGm2r47fn/0361NzkcnmsYnzgCWuMs2Q+25y5JvWZoJk9y6vWLqseJvYKywzf0+CzTed12s+Z55Uu6+2XN+mPZa49nrMCYQV51uXkvY2qUyzm33o3u8R135LnJWWeB2WeNx285yz3BehVKbYJL3AJmlel5SUVUp5ik1cbd2SkZ0q6w/sF6vcY27wlKh9wVda4tD96rCZ9XAmOM1VgNLyKqlK8K1zRaZTsycSVy1SpSfBVV5zkybt0tPTJUmSklxStrtUPJW+7LmGx3FJcVLl0pMwj2mSEZ/okuSURHPX4byiMnPHUodHpGuxXVIKvHKgqlIqbJaUpThEUuLEnRovxw/oIsP7d5PBXTvIX/+xUDZu32eCW3eaWzZs2SPl+8vEUVwlnnYJktwhVQZ2bS9ZBV5ZuSZXDjgsadc5Q3465gQ588d9zB1o31/ynRwoLpN26UmS4HJJ7p4D4nI65ORB3aVLuwx5d/FaWfvF91L8/V7JyUqXISceKyedM9hkuOcv3yDffL/DfK6H9e9qhuCsdnlJhSyYu0Q2rd4mLrdTRowbLB37dpQPF30ruTvzJSnBLaOGHSvWvmJZ+O+lUl5SLl36dJLTLh4uZR6vfPDpGtm5t0gyUhPkjJP6SufshrviNr8FS76XhXO/NPPrPqCLnHbpiZJQcydXv7Xr8uSzxeulvLxKunXJktGn9DU3a4pE+3tf8Nl38t26PHNSMPzHPeW4gTmH/S6rh6qf92733R/xJk2bf3d3bN+kaeDAgfLuu+9KTk5Os4J3/02annvuuZCbNGlvMn7l5eWmhEe7jwy+SVNjl3kkg3cAAAC0cPD+x3qC92kxHrxrdvzrr782JTCtGcE7AABA60bw7nPoaggAAACAVs4WoXFqtDRYJXgHAABA7LCCWnvXHh8Fmt+6FAAAAMARReYdAAAAscNq5L0HWimCdwAAAMQMW5TXvDerbKa01H9njPppF4/13ekUAAAAwGHOvKenp5u7oWq/7KeccoqcdNJJkpTkuxNksMsuu6w5swcAAAAODyu6y2aalXlfsGCBnHfeebJs2TL5+c9/LhkZGTJ8+HC588475b333jv0awkAAACgecH7iBEjTKD+/vvvmzuffvrpp9KnTx959NFH5ZxzzmG3AgAAoHWyDta9Bw9HfYPVb7/9VubPn2+y8PpvVVWVnHvuuaaMBgAAAGiVrOgum2lW8J6dnW2C9dNPP93Uvd91110ycODAQ792AAAAAH5Y2YwG78XFxbJ161YzbNu2zTwGAAAAoiLzboUZjtbgfcWKFbJr1y65++67pbq6WqZNmyZt27aVYcOGmVp4AAAAAK2o5l27i9QeZ7SbyBNPPFH+/e9/y+uvvy5fffWVPPjgg4d2LQEAAIBDINpv0tSs4H3u3LmmkaoOq1evlszMTDn55JPl8ccfl9NOO+3QryUAAACA5gXv1113nfzkJz+RSZMmmQarAwYMYFcCAAAArTF4371796FfEwAAAOBws2Kwq0jl8XjkX//6l6xdu1ZsNpv07dtXzj//fHE4HId2DQEAAAA0P3j//vvv5eyzz5bt27dL7969xbIsWbduneTk5Mg777wjPXv2bM5sAQAAgMPKFuUNVpvVVeTNN99sAvTc3FxZtmyZLF++3PT33r17d/McAAAA0GpZ0dnHe7Mz7wsWLJDFixdLmzZtAuO0xxntIlK7jQQAAADQSoJ3t9stRUVFdcbrXVZdLtehWC8AAADg0LOiu8Fqs8pmzjnnHLn22mvliy++MPXuOmgm/vrrrzc3bgIAAADQSoL3p556ytS8jxgxQuLj482g5TK9evWSJ5988tCvJQAAAHAIG6yGG47aspn09HT597//LevXr5dvv/3WZN779etngncAAACg1bJitJ93dcwxx5gBAAAAQCsK3m+99dZGz/Sxxx5r7voAAAAAh40tyvt5b3Tw/uKLL8qAAQPE6XSaO6pqqUw4+hwAAADQKlkxUjZTUFAgb7zxhrRr10569OghS5YsMX27AwAAAGhlvc1kZGTIpk2bzN+bN28Wr9d7ONcLAAAAODJ3V7WOwsz7z372M/nJT34iHTt2NKUxQ4cOFYfDEXbajRs3Hsp1BAAAANCU4H3mzJly4YUXyvfffy8333yzTJo0SVJSUtiJAAAAiBq2WGmwqs4880zz79KlS2Xy5MkE7wAAAIguVow0WK3d8wwAAACAKLpJEwAAABBVrOjOvDe6txkAAAAALYvMOwAAAGKGLZYarAIAAABRzaJsBgAAAMARQOYdAAAAMcMW5WUzNFgFAAAAokSLBu/PPvusDBo0SFJTU80wYsQIee+99wLP79q1S66++mrp2LGjJCYmmptErV+/PmQep556qthstpBh/PjxLbA1AAAAiJqadyvM0AT33ntvnRg0Ozu73tcsWLBAhgwZIvHx8dKjRw/5y1/+El3Be+fOneXBBx+Ur776ygynn366nH/++bJ69WqxLEsuuOAC2bhxo/z73/+W5cuXS9euXWX06NFSUlISMp9JkyZJXl5eYHjuuedabJsAAABw9Afvqn///iEx6MqVKyWSTZs2ydlnny0nn3yyiWvvuusuufnmm+WNN96QqKl5P/fcc0Me33///SYbv3jxYomLizP/rlq1yuwY9ec//1natWsnf/vb3+Saa64JvE6z8g2d6QAAAACHktPpbHQMqln2Ll26yBNPPGEe9+3b1ySvH3nkEfnZz34WfTXvHo9H5syZY7LqWj5TUVFhxutlBT+HwyEul0sWLlwY8trXXntNsrKyTJA/ZcoUKSoqqndZOu/CwsKQAQAAAEc/Wz2Dqh0j+mPScLScW8u7u3fvbsq2tWIkks8//1zGjBkTMm7s2LEmgK+qqoqe4F0vLyQnJ4vb7Zbrr79e5s6dK/369ZM+ffqYMpmpU6dKfn6+VFZWmhKbnTt3mssSfhMmTDCZ+Pnz58u0adPMpYcLL7yw3mXOmDFD0tLSAkNOTs4R2FIAAAC0djk5OSFxosaN4QwbNkxefvll+eCDD2TWrFkmRh05cqTs27cv7PT6fPv27UPG6ePq6mrZu3dv9HQV2bt3b1mxYoUcOHDABN5XXXWVKebXAF4fT5w4Udq0aWOy7lrvftZZZ9Wpd/cbMGCAHHPMMTJ06FBZtmyZnHDCCWGXqScEt956a+CxnlURwAMAAMQAq/6bNOXm5pqOVPw0wRxOcEw6cOBAUznSs2dPmT17dkicGUwbtYYs0rLCjm/VwbuWwfTq1cv8rUH3kiVL5MknnzSNTrU1rgb2BQUFJvPetm1bc5aj00WiAbvWy+tljEjBu74Jkd4IAAAAxG4/76k1vSA2VVJSkgnia/eM6Ke18Zp9D7Z7925TN5+ZmRk9ZTO16RlI7doivWShgbvuDK0L0h5pItGearRuqEOHDkdgbQEAAAAx8evatWsjxqCamZ83b17IuA8//NAkpTXxHBWZd+0iRy85aMmKNjLVBqtau/7++++b5//xj3+YoF1b5mpt/OTJk033kf5i/w0bNpjGqtrtjjZYXbNmjdx2220yePBgOfHEE1ty0wAAABCFZTONpZ2kaM+JGqdqBv2+++4zpdhaAu4v096+fbupi1fatvPpp582JTVa9q0NWF944QXTdrMpWjR415swXXHFFaYBqmbX9YZNGrifccYZ5nkdrxuo0+lZzJVXXmkapQaX3Hz88cemzKa4uNicBIwbN07uueceUyMPAAAA1NGMPt1r27Ztm1x66aWmsakmm4cPH266OdcOV/xx7NatWwPTa4807777rvzmN7+RZ555xvRS89RTTzWpm0hls/yV8jFMz5L05EFr65tT4wQAAIDWHa8V1ry+/3UPiMN1sCtyP09luax+7q5WHw+2eINVAAAAoLU0WG3tWl2DVQAAAADhkXkHAABA7LAOTYPVlkLwDgAAgJhho2wGAAAAwJFA5h0AAACxw4rushkarAIAAABRgsw7AAAAYoYtymveCd4BAAAQOyzKZgAAAAAcAWTeAQAAEDssMu8AAAAAjgAy7wAAAIgZNhqsAgAAAFHComwGAAAAwBFA2QwAAABihs2yzBBufDQgeAcAAEDssCibAQAAAHAEkHkHAABAzLBFeW8z9pZeAQAAAACNQ+YdAAAAscOK7pp3gncAAADEDBtlMwAAAACOBDLvAAAAiB1WdJfN0GAVAAAAiBJk3gEAABAzbFFe807wDgAAgNhhUTYDAAAA4Agg8w4AAICYYouSEplwaLAKAAAARAky7wAAAIgdluUbwo2PAgTvAAAAiBm2KO9thrIZAAAAIEqQeQcAAEDssOgqEgAAAMARQOYdAAAAMcPm9Q3hxkcDgncAAADEDouyGQAAAABHAJl3AAAAxAxblHcVSfAOAACA2GFF902a6OcdAAAAiBJk3gEAABAzbFFeNtOimfdnn31WBg0aJKmpqWYYMWKEvPfee4Hnd+3aJVdffbV07NhREhMT5cwzz5T169eHzKOiokJuuukmycrKkqSkJDnvvPNk27ZtLbA1AAAAwFEcvHfu3FkefPBB+eqrr8xw+umny/nnny+rV68Wy7LkggsukI0bN8q///1vWb58uXTt2lVGjx4tJSUlgXnccsstMnfuXJkzZ44sXLhQiouL5ZxzzhGPx9OSmwYAAIDW3FWkFWaIAjZLo+RWpE2bNvKnP/1JTj75ZOndu7esWrVK+vfvb57TgLxdu3by0EMPyTXXXCMFBQXStm1beeWVV+SSSy4x0+zYsUNycnLk3XfflbFjxzZqmYWFhZKWlmbmp1cAAAAA0Lr80HitsOb1w8f9UZxx8XWer64ql8XvTGv18WCrabCqgblmzzWrruUzWg6j4uMP7lyHwyEul8tk2NXSpUulqqpKxowZE5hGS2wGDBggixYtirgsnbe+gcEDAAAA0Nq1ePC+cuVKSU5OFrfbLddff70pgenXr5/06dPHlMlMnTpV8vPzpbKy0pTY7Ny5U/Ly8sxr9W8N5jMyMkLm2b59e/NcJDNmzDBnXv5BM/UAAACIoa4irTBDFGjx4F1LY1asWCGLFy+WX/3qV3LVVVfJmjVrJC4uTt544w1Zt26dKaXRBqvz58+Xs846y2Tg66OVQDabLeLzekKgl0T8Q25u7mHYMgAAAOAo6ypSM+e9evUyfw8dOlSWLFkiTz75pDz33HMyZMgQE9hrgK2Zd61vHzZsmJlOZWdnm/GamQ/Ovu/evVtGjhwZcZma5dcBAAAAscVGV5GHlmbN/fXuflraooG7dhOpvdJojzRKg3vN0M+bNy8wrZbUaCPX+oJ3AAAAxCgrunubadHM+1133WXKYLTmvKioyDRY1dKY999/3zz/j3/8wwTtXbp0MbXxkydPNt1H+huoalA/ceJEue222yQzM9OU10yZMkUGDhxoupQEAAAAjiYtGrzrTZiuuOIKky3XQFxv2KSB+xlnnGGe1/G33nqrma5Dhw5y5ZVXyrRp00Lm8fjjj4vT6ZSLL75YysrKZNSoUfLSSy81WBcPAACA2GOL8rKZVtfPe0ugn3cAAIDY6Od95Ng/ROznfdEHv2/1/by3eINVAAAA4IjxWr4h3PgoQPAOAACA2GFFaJwaHbF7y/fzDgAAAKBxyLwDAAAgZtgiNE6NfHvP1oXgHQAAALHDsnxDuPFRgLIZAAAAIEoQvAMAACDm+nm3hRmaa8aMGWKz2eSWW26pd7pnnnlG+vbtKwkJCdK7d295+eWXm7wsymYAAACAZlqyZInMnDnT3Gy0Ps8++6xMnTpVZs2aJT/60Y/kyy+/lEmTJklGRoace+65jV4emXcAAADEXleRVpih5mZOwUNFRUXEWRUXF8uECRNMQK5BeH1eeeUVue666+SSSy6RHj16yPjx42XixIny0EMPNWn1Cd4BAAAQM2yWFXFQOTk55k6s/kFLYiK54YYbZNy4cTJ69OgGl6snAfHxoXd21fIZzcBXVVU1ev0pmwEAAABq5ObmSmpqqv+huN1uCWfOnDmybNkyUzbTGGPHjpXnn39eLrjgAjnhhBNk6dKl8te//tUE7nv37pUOHTo0aj4E7wAAAIgd3poh3HgRE7gHB++RAvzJkyfLhx9+WCebHsm0adNk586dMnz4cLEsS9q3by9XX321PPzww+JwOBq9+pTNAAAAAE2gWfPdu3fLkCFDxOl0mmHBggXy1FNPmb89Hk+d12iJjGbaS0tLZfPmzbJ161bp1q2bpKSkSFZWVqOXTeYdAAAAMcMWVN9ee3xjjRo1SlauXBky7he/+IX06dNH7rjjjnoz6XFxcdK5c+dA6c0555wjdnvj8+kE7wAAAIgd1sGeZeqMbyTNlg8YMCBkXFJSkmRmZgbGa7eQ27dvD/Tlvm7dOtM4ddiwYZKfny+PPfaYrFq1SmbPnt2k1Sd4BwAAAA6xvLw8Uxrjp6U0jz76qHz33Xcm+37aaafJokWLTOlMUxC8AwAAIHZYlm8IN/4HmD9/fsjjl156KeSx3ll1+fLl8kPRYBUAAACIEmTeAQAAEDNslm8INz4aELwDAAAgdliHp2zmSKFsBgAAAIgSZN4BAAAQM2xe3xBufDQg8w4AAABECTLvAAAAiB1WdNe8E7wDAAAgdlg//A6rLYmyGQAAACBKkHkHAABAzLBZlhnCjY8GBO8AAACIHVZ017xTNgMAAABECTLvAAAAiB2WiITr0z06Eu9k3gEAAIBoQeYdAAAAMcNGg1UAAAAgmvp5t8KPjwI0WAUAAACiBGUzAAAAiB0WXUUCAAAAOALIvAMAACB2eLXVaoTxUYDgHQAAADHDFuW9zdBgFQAAAIgSZN4BAAAQOywarAIAAAA42stmnn32WRk0aJCkpqaaYcSIEfLee+8Fni8uLpYbb7xROnfuLAkJCdK3b1/zmmCnnnqq2Gy2kGH8+PEtsDUAAACImsy7FWaIAi1aNqNB+YMPPii9evUyj2fPni3nn3++LF++XPr37y+/+c1v5JNPPpFXX31VunXrJh9++KH8+te/lo4dO5rp/CZNmiR/+MMfAo810AcAAADqoGym+c4991w5++yz5dhjjzXD/fffL8nJybJ48WLz/Oeffy5XXXWVya5r8H7ttdfKcccdJ1999VXIfBITEyU7OzswpKWl/YC1AgAAAFqnVtPbjMfjkTlz5khJSYkpn1EnnXSSvPXWW7J9+3axLMtk4detWydjx44Nee1rr70mWVlZJls/ZcoUKSoqqndZFRUVUlhYGDIAAAAgBnjrGaJAi/c2s3LlShOsl5eXm6z73LlzpV+/fua5p556ypTEaHmN0+kUu90uzz//vAnq/SZMmCDdu3c3GfdVq1bJ1KlT5euvv5Z58+ZFXOaMGTNk+vTpR2T7AAAAgKMmeO/du7esWLFCDhw4IG+88YYpk1mwYIEJ4DV41xIazb537dpVPv30U1Pz3qFDBxk9erR5vQb3fgMGDJBjjjlGhg4dKsuWLZMTTjgh7DI1wL/11lsDjzXznpOTcwS2FgAAAC3JFuU3aWrx4N3lcgUarGrQvWTJEnnyySfliSeekLvuustk4seNG2ee155pNNB/5JFHAsF7bRqwx8XFyfr16yMG72632wwAAACIMRb9vB/i/WmZmvSqqiozaKlMMIfDIV5v5KKk1atXm9dpdh4AAAA4mrRo5l0z62eddZYpWdFGptpgdf78+fL++++bft9POeUUuf32203Xj1o2o+U0L7/8sjz22GPm9Rs2bDCNVbXHGm2wumbNGrnttttk8ODBcuKJJ7bkpgEAAKA18lpaIxN+fBRo0eB9165dcsUVV0heXp7p3lHLYjRwP+OMM8zzGsxrfbo2St2/f78J4LU7yeuvvz5QcvPxxx+bMhu9oZOeBGiJzT333GMy9AAAAMDRVDbTosH7Cy+8UO/z2oPMiy++GPF5DdY1Gw8AAADEghZvsAoAAAAcOVaELHt0ZN5bzU2aAAAAANSPzDsAAABih0XNOwAAABAdvFoeE729zVA2AwAAAEQJymYAAAAQOyyvbwg3PgqQeQcAAACiBJl3AAAAxA6LBqsAAABAdPDSYBUAAADAEUDZDAAAAGKHFd1lMzRYBQAAAKIEmXcAAADEDitClj06Eu8E7wAAAIghFmUzAAAAAI4AymYAAAAQO7x6J1VvhPGtH8E7AAAAYodF2QwAAACAI4DMOwAAAGKHReYdAAAAwBFA5h0AAACxw2s6eo8wvvUjeAcAAEDMsCyvGcKNjwb2ll4BAAAAAI1D8A4AAIDYarDqDTPo+GaaMWOG2Gw2ueWWW+qd7rXXXpPjjjtOEhMTpUOHDvKLX/xC9u3b16RlEbwDAAAAzbRkyRKZOXOmDBo0qN7pFi5cKFdeeaVMnDhRVq9eLf/4xz/Ma6+55pomLY/gHQAAALHXVaQVZmii4uJimTBhgsyaNUsyMjLqnXbx4sXSrVs3ufnmm6V79+5y0kknyXXXXSdfffVVk5ZJ8A4AAIDY4fVGHkSksLAwZKioqIg4qxtuuEHGjRsno0ePbnCxI0eOlG3btsm7774rlmXJrl275J///Kd5fVMQvAMAAAA1cnJyJC0tLTBoPXs4c+bMkWXLlkV8PlzwrjXvl1xyibhcLsnOzpb09HT5v//7P2kKuooEAABA7LAi9PNeUzaTm5srqampgdFut7vOpDrN5MmT5cMPP5T4+PhGLXbNmjWmZOb3v/+9jB07VvLy8uT222+X66+/Xl544YVGr77N0rx9jNNLInpmVVBQEPJmAQAA4OiI1wprXj8q+TJx2lx1nq+2KuXj4tcbNf9//etf8tOf/lQcDkdgnMfjMT3O2O12U2oT/Jy64oorpLy83DRUDW7EevLJJ8uOHTtM7zONQeYdAAAAMcPyesWy/bCbNI0aNUpWrlwZMk67fezTp4/ccccddQJ3VVpaKk5naOjtn64puXSCdwAAAMQOq/6ymcZISUmRAQMGhIxLSkqSzMzMwPipU6fK9u3b5eWXXzaPzz33XJk0aZI8++yzgbIZ7Rf+xz/+sXTs2LHRyyZ4BwAAAA4xDc63bt0aeHz11VdLUVGRPP3003LbbbeZxqqnn366PPTQQ02aLzXv1LwDAADETM376e6LI9a8/7fi/7X6NpB0FQkAAABECcpmAAAAEDssrW0P0zg1SjpgJHgHAABAzLC8lli2uoF6tPSeTtkMAAAAECXIvAMAACB2WN4IZTON7+e9JRG8AwAAIGZYlM0AAAAAOBLIvAMAACB2WNFdNtOiDVb19rCDBg0yHeHrMGLECHnvvfcCzxcXF8uNN94onTt3loSEBOnbt695TbCKigq56aabJCsry9yW9rzzzpNt27a1wNYAAACgtauWKqm2wgxSJdGgRTPvGpQ/+OCD0qtXL/N49uzZcv7558vy5culf//+8pvf/EY++eQTefXVV6Vbt27y4Ycfyq9//Wvp2LGjmU7dcsst8vbbb8ucOXMkMzPT3G72nHPOkaVLl4rD4WjJzQMAAEAr4XK5JDs7WxbufDfiNPq8Ttea2axW1qllmzZt5E9/+pNMnDhRBgwYIJdccolMmzYt8PyQIUPk7LPPlj/+8Y/m9rVt27aVV155xUynduzYITk5OfLuu+/K2LFjj8jtdgEAAHB4HYp4rby8XCorKyM+r4F7fHy8tGatpp93j8djsuclJSWmfEaddNJJ8tZbb8n27dtNx/mahV+3bl0gKNfselVVlYwZMyYwH83Ka9C/aNGiiMvSUhs9AIIHAAAAHN3i4+MD5drhhtYeuLeKBqsrV640wbqeCSUnJ8vcuXOlX79+5rmnnnpKJk2aZMprnE6n2O12ef75501Qr3bu3GnOkDIyMkLm2b59e/NcJDNmzJDp06cf5i0DAAAAjrLMe+/evWXFihWyePFi+dWvfiVXXXWVrFmzJhC863jNvmuW/dFHHzU17x999FG989Qsvc1mi/j81KlTzSUX/5Cbm3vItwsAAAA46jLvmjn3N1gdOnSoLFmyRJ588kl54okn5K677jKZ+HHjxpnntWcaDfQfeeQRGT16tGlUoHVL+fn5Idn33bt3y8iRIyMu0+12mwEAAACIJi2eeQ+XNdeadK1l10FLZYJpDzJerzfQeDUuLk7mzZsXeD4vL09WrVpVb/AOAAAARKMWzbxrZv2ss84yvcMUFRWZBqvz58+X999/3zQaOOWUU+T22283fbx37dpVFixYIC+//LI89thj5vXa4lh7pdHuIbWbSO2pZsqUKTJw4ECTmQcAAACOJi0avO/atUuuuOIKky3XQFzLYjRwP+OMM8zzGsxrffqECRNk//79JoC///775frrrw/M4/HHHzeNWS+++GIpKyuTUaNGyUsvvUQf7wAAADjqtLp+3lsC/bwDAAC0bsRrrbTmHQAAAEB4BO8AAABAlCB4BwAAAKIEwTsAAAAQJQjeAQAAgChB8A4AAABECYJ3AAAAIEoQvAMAAABRguAdAAAAiBIE7wAAAECUIHgHAAAAogTBOwAAABAlCN4BAACAKOFs6RVoDSzLMv8WFha29KoAAAAgDH+cZtXEbbGK4F1EioqKzM7Iyclp6fcDAAAADcRtaWlpMbuPbFasn76IiNfrlR07dkhKSorYbDY5Ws5O9WQkNzdXUlNTW3p1Wi32E/uJ44nPXmvGdxT7iePpIA1Zi4qKpGPHjmK3x27lN5l3Lfy326Vz585yNNLAneCd/cTxxOeuteI7iv3E8cTnrinSYjjj7he7py0AAABAlCF4BwAAAKIEwftRyu12yz333GP+BfuJ44nPXWvDdxT7ieOJzx2ahwarAAAAQJQg8w4AAABECYJ3AAAAIEoQvAMAAABRguAdAAAAiBIE71FqxowZ5m6wt9xyS2Dc1VdfbcYFD8OHDw95XUVFhdx0002SlZUlSUlJct5558m2bdsklvZT7X3kH/70pz8Fpjn11FPrPD9+/Hg5mtx77711tjE7OzvkTnY6jd7JLiEhweyT1atXx9zxVN9+qqqqkjvuuEMGDhxotl/31ZVXXmnu2ByM44nvp8YeU4rvqIO2b98ul19+uWRmZkpiYqIcf/zxsnTp0sDzfE81vJ/4njr6ELxHoSVLlsjMmTNl0KBBdZ4788wzJS8vLzC8++67Ic9rEDt37lyZM2eOLFy4UIqLi+Wcc84Rj8cjsbKfgvePDn/961/Nj+XPfvazkOkmTZoUMt1zzz0nR5v+/fuHbOPKlSsDzz388MPy2GOPydNPP232pQYXZ5xxhrk1dawdT5H2U2lpqSxbtkymTZtm/n3zzTdl3bp15iSmtlg/nhTfT43bV3xH+eTn58uJJ54ocXFx8t5778maNWvk0UcflfT09MC+4nuq4f3E99RRyEJUKSoqso455hhr3rx51imnnGJNnjw58NxVV11lnX/++RFfe+DAASsuLs6aM2dOYNz27dstu91uvf/++1as7KfadJ+dfvrpIeMaes3R4J577rGOO+64sM95vV4rOzvbevDBBwPjysvLrbS0NOsvf/lLTB1P9e2ncL788ktLv1q3bNkSGBfrx5Pi+6nx+6q2WP2OuuOOO6yTTjop4vN8TzVuP4UTq99TRwsy71HmhhtukHHjxsno0aPDPj9//nxp166dHHvssSbTt3v37sBzeglNL5+NGTMmME4v8w8YMEAWLVoksbSf/Hbt2iXvvPOOTJw4sc5zr732mikH0QzZlClTQjLOR4v169ebY6B79+6mLGjjxo1m/KZNm2Tnzp0hx4reVOeUU04JHCuxdDxF2k/hFBQUmCs5wdnBWD+e/Ph+avy+8ovl76i33npLhg4dKj//+c/N79rgwYNl1qxZgef5nmrcfgonlr+njgbOll4BNJ6WJuileS1hCOess84yH96uXbuaLzW9lH/66aebIEsDLw3GXC6XZGRkhLyuffv25rlY2U/BZs+eLSkpKXLhhReGjJ8wYYL5UdVSkVWrVsnUqVPl66+/lnnz5snRYtiwYfLyyy+bEz0NEO677z4ZOXKkqWv3Hw96bATTx1u2bDF/x8rxVN9+0vrSYOXl5XLnnXfKZZddJqmpqYHxsX486X7i+6nx+ypYLH9H6QnNs88+K7feeqvcdddd8uWXX8rNN99sfs+0bQnfU43bT7XF8vfUUaOlU/9onK1bt1rt2rWzVqxY0ehLXDt27DBlDW+88YZ5/Nprr1kul6vOdKNHj7auu+66mNxPvXv3tm688cYG5/vVV1+ZS4xLly61jlbFxcVW+/btrUcffdT63//+Z7ZXj6Fg11xzjTV27NiYOZ4a2k/BKisrTXnD4MGDrYKCgnrnEWvHUzix+P3UnH0Vy99RenyMGDEiZNxNN91kDR8+3PzN91Tj9lMwvqeODpTNRAnNnmsJzJAhQ8TpdJphwYIF8tRTT5m/wzUQ7NChg8nC6+VZpWfTlZWVpnFLMJ1v7QxrLOynzz77TL777ju55pprGpzvCSecYBoD+ffl0Uh7S9FeU3Qb/T1f1M6gBx8rsXA8NbSf/LR86OKLLzZXvDRLFZzNCifWjqdwYvH7qan7Kta/o/QY6devX8i4vn37ytatW83ffE81bj/58T119CB4jxKjRo0yvRGsWLEiMGiNm17m0r8dDked1+zbt09yc3PNB1tpQKtf7sGXwLRXA708ppdsY20/vfDCC2afHHfccQ3OVy9n6xeff18ejbTbx7Vr15pt9F86DT5WNLDSEyH/sRILx1ND+yn4B1GDpo8++qhO2UM4sXY8hROL309N3Vex/h2lPajoyUsw7c1JT/oU31ON20+K76mjTEun/tF8weUg2rvKbbfdZi1atMjatGmT9cknn5jLaJ06dbIKCwsDr7n++uutzp07Wx999JG1bNky04OB9npQXV191L4V4cpmtKwhMTHRevbZZ+tM//3331vTp0+3lixZYvblO++8Y/Xp08eUQxxN+0mPl/nz51sbN260Fi9ebJ1zzjlWSkqKtXnzZvO89jSjvcu8+eab1sqVK61LL73U6tChQ8wdT/Xtp6qqKuu8884z+0BLtfLy8gJDRUWFeT3H02a+n5pwTPnxHeXrEcXpdFr333+/tX79elNapd/br776amA/8T3V8H7ie+roQ/B+lASlpaWl1pgxY6y2bdua+rcuXbqYrtm0BjxYWVmZqZ9s06aNlZCQYH40ak8TC8H7c889Z7ZfuzusTffHT37yE7OPtAa3Z8+e1s0332zt27fPOppccsklJhjX46Vjx47WhRdeaK1evTqkGzbt0k67jHS73WafaBAfa8dTfftJT+40BxJu0BNoxfHE91NTjik/vqN83n77bWvAgAHmO0iTKDNnzgzZT3xPNbyf+J46+tj0Py2d/QcAAADQMGreAQAAgChB8A4AAABECYJ3AAAAIEoQvAMAAABRguAdAAAAiBIE7wAAAECUIHgHAAAAogTBOwAAABAlCN4BAACAKEHwDgBNdOqpp8ott9xy1O+3e++9V44//viWXg0AQBCCdwCIMZWVlUd0eZZlSXV19RFdJgAcrQjeAaAJrr76almwYIE8+eSTYrPZzLB582ZZs2aNnH322ZKcnCzt27eXK664Qvbu3RuSrb/ppptMxj4jI8NMM3PmTCkpKZFf/OIXkpKSIj179pT33nsv8Jr58+eb+b/zzjty3HHHSXx8vAwbNkxWrlwZsk6LFi2Sn/zkJ5KQkCA5OTly8803m/n6devWTe677z6z7mlpaTJp0iQz/o477pBjjz1WEhMTpUePHjJt2jSpqqoyz7300ksyffp0+frrrwPbqeN0W/XvFStWBOZ/4MABM07XN3i9P/jgAxk6dKi43W757LPPTBD/8MMPm2Xpuuo2/fOf/+T4A4AmIHgHgCbQoH3EiBEmAM7LyzNDXFycnHLKKabE5KuvvpL3339fdu3aJRdffHHIa2fPni1ZWVny5ZdfmkD+V7/6lfz85z+XkSNHyrJly2Ts2LEm6C8tLQ153e233y6PPPKILFmyRNq1ayfnnXdeIMjWQF5fd+GFF8o333wjf//732XhwoVy4403hszjT3/6kwwYMECWLl1qgnSlJwwakOuJh27XrFmz5PHHHzfPXXLJJXLbbbdJ//79A9up45rit7/9rcyYMUPWrl0rgwYNkt/97nfy4osvyrPPPiurV6+W3/zmN3L55ZebkyEAQCNZAIAmOeWUU6zJkycHHk+bNs0aM2ZMyDS5ubmWfsV+9913gdecdNJJgeerq6utpKQk64orrgiMy8vLM6/5/PPPzeNPPvnEPJ4zZ05gmn379lkJCQnW3//+d/NYX3/ttdeGLPuzzz6z7Ha7VVZWZh537drVuuCCCxrcrocfftgaMmRI4PE999xjHXfccSHTbNq0yazT8uXLA+Py8/PNOF3f4PX+17/+FZimuLjYio+PtxYtWhQyv4kTJ1qXXnppg+sGAPBxNjbIBwCEp9nsTz75xJTM1LZhwwZTmqI0++zncDgkMzNTBg4cGBinpTRq9+7dIfPQTL9fmzZtpHfv3iab7V/2999/L6+99lpwUka8Xq9s2rRJ+vbta8Zp+UptWrLyxBNPmNcXFxebuvTU1NRD9jYHL1Oz++Xl5XLGGWfUqb8fPHjwIVsmABztCN4B4AfSQPncc8+Vhx56qM5zHTp0CPyt5TXBtC48eJw+9s+vIcHTXnfddabOvbYuXboE/k5KSgp5bvHixTJ+/HhT165lN1oLP2fOHHn00UfrXa7dbg+cIPj5S3hqC16mf5u0fr9Tp04h02lNPACgcQjeAaCJXC6XeDyewOMTTjhB3njjDdMw1Ok89F+rGmj7A/H8/HxZt26d9OnTJ7BsrR/v1atXk+b5v//9T7p27Sp33313YNyWLVvq3U7Vtm1b86/WwPsz5sGNVyPp16+fCdK3bt1q2gcAAJqHBqsA0EQapH/xxRem5xXtUeaGG26Q/fv3y6WXXmoao27cuFE+/PBD+eUvf1kn+G2OP/zhD/Lxxx/LqlWrTI8x2uj1ggsuCPQY8/nnn5t10CB6/fr18tZbb5kGsfXRYF8Dac22a2nPU089JXPnzq2znVp6o/PV7ayoqDC9xAwfPlwefPBBUwrz6aefmoaoDdHGsVOmTDGNVLXhri5z+fLl8swzz5jHAIDGIXgHgCbSIFRr1jWbrJlordvWTLYG6lqCor26TJ482ZSi+MtMfggNlHV+Q4YMMRlvDc41K+6vo9feWjRoP/nkk002XHuTCS7XCef88883gbT2SqO95Gh3k/5eaPx+9rOfyZlnnimnnXaa2c6//e1vZvxf//pXUyqjNe26XtoNZWP88Y9/lN///vemBxqtxdd99fbbb0v37t2bvW8AINbYtNVqS68EAKAu7S9dA2ctlUlPT2cXAQDIvAMAAADRgrIZAAAAIEpQNgMAAABECTLvAAAAQJQgeAcAAACiBME7AAAAECUI3gEAAIAoQfAOAAAARAmCdwAAACBKELwDAAAAUYLgHQAAAJDo8P8Bu41q5OinWIoAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\"\"\"\" visualize effect of the two higher sobol entries \"\"\"\n", + "x_name = \"temperature\"\n", + "y_name = \"flow_g_mol\"\n", + "c_name = \"tau\"\n", + "Y_plot = np.log10(Y[c_name])\n", + "\n", + "fig,axs = plt.subplots(1,1, figsize=(8,6))\n", + "plt.sca(axs)\n", + "plt.scatter(X[x_name], X[y_name], c=Y_plot, cmap=\"viridis\", vmin=Y_plot.min(), vmax=Y_plot.max())\n", + "\n", + "plt.title(f\"{FOLDER} - log10({c_name})\")\n", + "\n", + "plt.xlabel(x_name)\n", + "plt.ylabel(y_name)\n", + "plt.colorbar(cax=fig.add_axes([0.92, 0.15, 0.01, 0.7]))\n", + "\n", + "plt.savefig(FOLDER / \"postprocessing\" / \"scatter.png\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c29735ed", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_160204/1391669839.py:27: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df[x_names[i]].values, df[y_name].values, p0=p0)\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\"\"\" impact of individual parameters\"\"\"\n", + "from scipy.optimize import curve_fit as fit\n", + "\n", + "shape = (4,1)\n", + "y_name = \"tau\"\n", + "x_names=[\"temperature\", \"flow_g_mol\", \"P_top\", \"nozzle_diameter\"]\n", + "n = len(x_names) - 1\n", + "# remove column if \"D_l_corr\" in PP_data.columns:\n", + "# X = X.drop(columns=[\"D_l_corr\"])\n", + "df = pd.DataFrame(pd.concat([PP_data, X], axis=1), columns=np.append(x_names, y_name))\n", + "\n", + "df_norm = pd.DataFrame()\n", + "for column in df.columns:\n", + " df_norm[column] = df[column] / df[column].max()\n", + "\n", + "def polyn(x, d, a, b):\n", + " return a * (x)**1 + b\n", + "\n", + "fig, axes = plt.subplots(*shape, figsize = (8, 30))\n", + "for i in range(len(x_names)):\n", + " # test = np.array(range(len(x_names))).reshape(shape)[0]\n", + " # idxs = tuple(np.argwhere(np.array(range(len(x_names))).reshape(shape) == i)[0]) \n", + " axes[i].set_ylabel(r\"$\\tau$ [hours]\")\n", + " axes[i].set_xlabel(names_dict.get(x_names[i], x_names[i]))\n", + " try:\n", + " p0 = [1, 1, 1]\n", + " popt, _ = fit(polyn,df[x_names[i]].values, df[y_name].values, p0=p0)\n", + " except RuntimeError:\n", + " p0 = [-20, 1, 1]\n", + " popt, _ = fit(polyn,df[x_names[i]].values, df[y_name].values,p0=p0, maxfev=50000)\n", + " d, a, b = popt\n", + " x_plot = np.linspace(df[x_names[i]].min(), df[x_names[i]].max(), 100)\n", + " y_plot = polyn(x_plot, *popt)\n", + " axes[i].plot(x_plot, y_plot/4600, linestyle='--', linewidth=3, color='red', label=\"Linear regression\") # f\"{a:.1e} * x^{d:.1e} + {b:.1e}\n", + " axes[i].scatter(df[x_names[i]], df[y_name]/3600, alpha=0.1, label=\"Samples\")\n", + " axes[i].legend()\n", + " axes[i].grid(False)\n", + "\n", + " \n", + " \n", + "# axes[0, 0].set_yticks(axes[0, 1].get_yticks())\n", + "# axes[0, 0].set_ylim(axes[0, 1].get_ylim())\n", + "# axes[n, n].set_xticks(axes[n-1, n].get_yticks())\n", + "# axes[n, n].set_xlim(axes[n-1, n].get_ylim())\n", + "\n", + "fig.text(0.5,0.885,str_ranges, fontsize=10, ha='center', va='bottom',)\n", + "plt.suptitle(f\"{FOLDER} - Tritium extraction time vs Inputs (normalized by max value)\\nfit {r\"$y = a \\cdot x + b$\"}\")\n", + "\n", + "# plt.tight_layout()\n", + "plt.savefig(FOLDER / \"postprocessing\" / \"tau_vs_inputs.png\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "def32e32", + "metadata": {}, + "outputs": [ + { + "ename": "KeyError", + "evalue": "\"['D_l_corr'] not found in axis\"", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mKeyError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[28]\u001b[39m\u001b[32m, line 9\u001b[39m\n\u001b[32m 5\u001b[39m y_name = \u001b[33m\"tau\"\u001b[39m\n\u001b[32m 6\u001b[39m x_names=[\u001b[33m\"temperature\"\u001b[39m, \u001b[33m\"flow_g_mol\"\u001b[39m, \u001b[33m\"P_top\"\u001b[39m, \u001b[33m\"nozzle_diameter\"\u001b[39m]\n\u001b[32m 7\u001b[39m n = len(x_names) - \u001b[32m1\u001b[39m\n\u001b[32m 8\u001b[39m \u001b[38;5;66;03m# remove column if \"D_l_corr\" in PP_data.columns:\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m9\u001b[39m X = X.drop(columns=[\u001b[33m\"D_l_corr\"\u001b[39m])\n\u001b[32m 10\u001b[39m df = pd.DataFrame(pd.concat([PP_data, X], axis=\u001b[32m1\u001b[39m), columns=np.append(x_names, y_name))\n\u001b[32m 11\u001b[39m \n\u001b[32m 12\u001b[39m df_norm = pd.DataFrame()\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/anaconda3/envs/autoemulate_env/lib/python3.12/site-packages/pandas/core/frame.py:6288\u001b[39m, in \u001b[36mDataFrame.drop\u001b[39m\u001b[34m(self, labels, axis, index, columns, level, inplace, errors)\u001b[39m\n\u001b[32m 6284\u001b[39m weight \u001b[32m250.0\u001b[39m \u001b[32m150.0\u001b[39m\n\u001b[32m 6285\u001b[39m falcon speed \u001b[32m320.0\u001b[39m \u001b[32m250.0\u001b[39m\n\u001b[32m 6286\u001b[39m weight \u001b[32m1.0\u001b[39m \u001b[32m0.8\u001b[39m\n\u001b[32m 6287\u001b[39m \"\"\"\n\u001b[32m-> \u001b[39m\u001b[32m6288\u001b[39m return super().drop(\n\u001b[32m 6289\u001b[39m labels=labels,\n\u001b[32m 6290\u001b[39m axis=axis,\n\u001b[32m 6291\u001b[39m index=index,\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/anaconda3/envs/autoemulate_env/lib/python3.12/site-packages/pandas/core/generic.py:4644\u001b[39m, in \u001b[36mNDFrame.drop\u001b[39m\u001b[34m(self, labels, axis, index, columns, level, inplace, errors)\u001b[39m\n\u001b[32m 4640\u001b[39m obj = self\n\u001b[32m 4641\u001b[39m \n\u001b[32m 4642\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m axis, labels \u001b[38;5;28;01min\u001b[39;00m axes.items():\n\u001b[32m 4643\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m labels \u001b[38;5;28;01mis\u001b[39;00m \u001b[38;5;28;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m4644\u001b[39m obj = obj._drop_axis(labels, axis, level=level, errors=errors)\n\u001b[32m 4645\u001b[39m \n\u001b[32m 4646\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m inplace:\n\u001b[32m 4647\u001b[39m self._update_inplace(obj)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/anaconda3/envs/autoemulate_env/lib/python3.12/site-packages/pandas/core/generic.py:4686\u001b[39m, in \u001b[36mNDFrame._drop_axis\u001b[39m\u001b[34m(self, labels, axis, level, errors, only_slice)\u001b[39m\n\u001b[32m 4682\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28;01mnot\u001b[39;00m isinstance(axis, MultiIndex):\n\u001b[32m 4683\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m AssertionError(\u001b[33m\"axis must be a MultiIndex\"\u001b[39m)\n\u001b[32m 4684\u001b[39m new_axis = axis.drop(labels, level=level, errors=errors)\n\u001b[32m 4685\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m4686\u001b[39m new_axis = axis.drop(labels, errors=errors)\n\u001b[32m 4687\u001b[39m indexer = axis.get_indexer(new_axis)\n\u001b[32m 4688\u001b[39m \n\u001b[32m 4689\u001b[39m \u001b[38;5;66;03m# Case for non-unique axis\u001b[39;00m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/anaconda3/envs/autoemulate_env/lib/python3.12/site-packages/pandas/core/indexes/base.py:7268\u001b[39m, in \u001b[36mIndex.drop\u001b[39m\u001b[34m(self, labels, errors)\u001b[39m\n\u001b[32m 7266\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m mask.any():\n\u001b[32m 7267\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m errors != \u001b[33m\"\u001b[39m\u001b[33mignore\u001b[39m\u001b[33m\"\u001b[39m:\n\u001b[32m-> \u001b[39m\u001b[32m7268\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mlabels[mask].tolist()\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m not found in axis\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m 7269\u001b[39m indexer = indexer[~mask]\n\u001b[32m 7270\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m.delete(indexer)\n", + "\u001b[31mKeyError\u001b[39m: \"['D_l_corr'] not found in axis\"" + ] + } + ], + "source": [ + "\"\"\" impact of individual parameters\"\"\"\n", + "from scipy.optimize import curve_fit as fit\n", + "\n", + "shape = (4,1)\n", + "y_name = \"tau\"\n", + "x_names=[\"temperature\", \"flow_g_mol\", \"P_top\", \"nozzle_diameter\"]\n", + "n = len(x_names) - 1\n", + "# remove column if \"D_l_corr\" in PP_data.columns:\n", + "X = X.drop(columns=[\"D_l_corr\"])\n", + "df = pd.DataFrame(pd.concat([PP_data, X], axis=1), columns=np.append(x_names, y_name))\n", + "\n", + "df_norm = pd.DataFrame()\n", + "for column in df.columns:\n", + " df_norm[column] = df[column] / df[column].max()\n", + "\n", + "def polyn(x, d, a, b):\n", + " return a * (x)**1 + b\n", + "\n", + "fig, axes = plt.subplots(*shape, figsize = (20, 13))\n", + "plt.sca(axes[0,0])\n", + "for i in range(len(x_names)):\n", + " test = np.array(range(len(x_names))).reshape(shape)[0]\n", + " idxs = tuple(np.argwhere(np.array(range(len(x_names))).reshape(shape) == i)[0]) \n", + " axes[idxs].set_ylabel(names_dict.get(y_name, y_name))\n", + " axes[idxs].set_xlabel(names_dict.get(x_names[i], x_names[i]))\n", + " try:\n", + " p0 = [1, 1, 1]\n", + " popt, _ = fit(polyn,df_norm[x_names[i]].values, df_norm[y_name].values, p0=p0)\n", + " except RuntimeError:\n", + " p0 = [-20, 1, 1]\n", + " popt, _ = fit(polyn,df_norm[x_names[i]].values, df_norm[y_name].values,p0=p0, maxfev=50000)\n", + " d, a, b = popt\n", + " x_plot = np.linspace(df_norm[x_names[i]].min(), df_norm[x_names[i]].max(), 100)\n", + " y_plot = polyn(x_plot, *popt)\n", + " axes[idxs].plot(x_plot, y_plot, linestyle='--', color='red', label=f\"a = {a:.3f}\") # f\"{a:.1e} * x^{d:.1e} + {b:.1e}\n", + " axes[idxs].legend()\n", + " axes[idxs].scatter(x_names[i], y_name, alpha=0.5, data=df_norm)\n", + " axes[idxs].grid(True)\n", + "\n", + " \n", + " \n", + "# axes[0, 0].set_yticks(axes[0, 1].get_yticks())\n", + "# axes[0, 0].set_ylim(axes[0, 1].get_ylim())\n", + "# axes[n, n].set_xticks(axes[n-1, n].get_yticks())\n", + "# axes[n, n].set_xlim(axes[n-1, n].get_ylim())\n", + "\n", + "fig.text(0.5,0.885,str_ranges, fontsize=10, ha='center', va='bottom',)\n", + "plt.suptitle(f\"{FOLDER} - Tritium extraction time vs Inputs (normalized by max value)\\nfit {r\"$y = a \\cdot x + b$\"}\")\n", + "\n", + "# plt.tight_layout()\n", + "plt.savefig(FOLDER / \"postprocessing\" / \"tau_vs_inputs.png\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7421d057", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\"\"\" plot tau vs temperature \"\"\"\n", + "df = pd.DataFrame(pd.concat([PP_data, X], axis=1), columns=np.append(x_names, y_name))\n", + "\n", + "\n", + "plt.scatter(df[\"temperature\"], df[\"tau\"]/3600, alpha=0.2)\n", + "plt.ylabel(r\"$\\tau$ [hours]\")\n", + "plt.xlabel(\"temperature [°C]\")\n", + "plt.tight_layout()\n", + "plt.savefig(\"figures/tau_vs_temperature.png\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "68aa1ebc", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "df = pd.DataFrame(pd.concat([PP_data, X], axis=1), columns=[\"tau\", \"d_b\", \"u_g0\", \"eps_g\",\"temperature\"])\n", + "\n", + "# normalize dataframe values\n", + "# for column in df.columns:\n", + "# df[column] = df[column] / df[column].max() \n", + " \n", + "\n", + "# with regression\n", + "sns.set_theme(context=\"notebook\", style=\"ticks\")\n", + "p = sns.pairplot(df, kind=\"scatter\") # plot_kws=dict(scatter_kws=dict(alpha=0.01))\n", + "\n", + "plt.suptitle(f\"{FOLDER} - correlogram\")\n", + "plt.tight_layout()\n", + "plt.savefig(FOLDER / \"postprocessing\" / \"correlogram.png\")\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0240fc71", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + "/tmp/ipykernel_146101/981884659.py:36: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from scipy.optimize import curve_fit as fit\n", + "\n", + "columns=[\"tau\", \"d_b\", \"u_g0\", \"eps_g\",\"temperature\",\"flow_g_mol\"]\n", + "n = len(columns) - 1\n", + "df = pd.DataFrame(pd.concat([PP_data, X], axis=1), columns=columns)\n", + "df_norm = pd.DataFrame()\n", + "for column in df.columns:\n", + " df_norm[column] = df[column] / df[column].max()\n", + "\n", + "def polyn(x, d, a, c):\n", + " return a * (x)**1 + c\n", + "\n", + "fig, axes = plt.subplots(len(columns), len(columns), figsize = (16, 12), tight_layout=False)\n", + "\n", + "for i in range(len(columns)):\n", + " for j in range(len(columns)):\n", + " \n", + " if j == 0:\n", + " axes[i, j].set_ylabel(names_dict.get(columns[i], columns[i]))\n", + " else:\n", + " axes[i, j].set_yticklabels([])\n", + " \n", + " if i == len(columns)-1:\n", + " axes[i, j].set_xlabel(names_dict.get(columns[j], columns[j]))\n", + " else:\n", + " axes[i, j].set_xticklabels([])\n", + " # If this is the main diagonal, add histograms\n", + " if i == j:\n", + " pass\n", + " # axes[i, j].hist(columns[j], bins=15, alpha=0.5, data=df_norm)\n", + " # axes[i,j].grid(False)\n", + " # If this is the upper/lower triangle, add scatter plots with regression\n", + " else:\n", + " try:\n", + " p0 = [1, 1, 1]\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values, p0=p0)\n", + " except RuntimeError:\n", + " p0 = [-20, 1, 1]\n", + " popt, _ = fit(polyn,df_norm[columns[j]].values, df_norm[columns[i]].values,p0=p0, maxfev=50000)\n", + " d, a, b = popt\n", + " x_plot = np.linspace(df_norm[columns[j]].min(), df_norm[columns[j]].max(), 100)\n", + " y_plot = polyn(x_plot, *popt)\n", + " color = \"r\" if j >= len(columns)-2 else \"b\"\n", + " axes[i, j].plot(x_plot, y_plot, linestyle='--', color='red', label=f\"a={a:.3f}\") # f\"{a:.1e} * x^{d:.1e} + {c:.1e}\n", + " axes[i, j].legend()\n", + " axes[i, j].scatter(columns[j], columns[i], alpha=0.05, data=df_norm, color=color)\n", + " axes[i,j].grid(True)\n", + "\n", + " \n", + " \n", + "axes[0, 0].set_yticks(axes[0, 1].get_yticks())\n", + "axes[0, 0].set_ylim(axes[0, 1].get_ylim())\n", + "axes[n, n].set_xticks(axes[n-1, n].get_yticks())\n", + "axes[n, n].set_xlim(axes[n-1, n].get_ylim())\n", + "\n", + "plt.suptitle(f\"{FOLDER} - correlogram normalized by max value, fit {r\"$y = a \\cdot x + c$\"}\")\n", + "plt.tight_layout()\n", + "plt.savefig(FOLDER / \"postprocessing\" / \"correlogram_norm_fit.png\") " + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "autoemulate_env", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/data_processing/sensitivity.ipynb b/data_processing/sensitivity.ipynb new file mode 100644 index 0000000..a1951b7 --- /dev/null +++ b/data_processing/sensitivity.ipynb @@ -0,0 +1,468 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 4, + "id": "34bbbb98", + "metadata": {}, + "outputs": [], + "source": [ + "from autoemulate import AutoEmulate\n", + "import torch\n", + "import pandas as pd\n", + "from pathlib import Path\n", + "from sparging.config import ureg\n", + "\n", + "# FOLDER = Path(\"/home/monroe/libra_pi/libra_sparging/20260422_164947\")\n", + "FOLDER = Path(\"datasets/20260424_131925\")\n", + "t_residual = 7 * ureg.day\n", + "\n", + "# model = AutoEmulate.load_model(FOLDER / \"GaussianProcessRBF_1_20260422_165335.joblib\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "9e04a7db", + "metadata": {}, + "outputs": [], + "source": [ + "X = pd.read_csv(FOLDER / \"simulator_inputs.csv\")\n", + "Y = pd.read_csv(FOLDER / \"simulator_outputs.csv\")\n", + "Z = torch.tensor(Y.values, dtype=torch.float32)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "e25078c0", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_83803/3239760125.py:29: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", + " fig.tight_layout()\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "y_log = True\n", + "x_name = \"log(K_s)\"\n", + "y_name = \"log(h_l)\"\n", + "c_name = f\"log(residual_{t_residual:.0f})\"\n", + "Y_plot = [Y[c_name] if y_log is True else np.power(10, Y[c_name]), Y[\"tau_exp\"].values]\n", + "\n", + "fig,axs = plt.subplots(1,2, figsize=(12,6))\n", + "plt.sca(axs[0])\n", + "plt.scatter(X[x_name], X[y_name], c=Y_plot[0], cmap=\"viridis\", vmin=Y_plot[0].min(), vmax=Y_plot[0].max())\n", + "\n", + "plt.title(f\"{FOLDER} - {\"log\" if y_log else \"\"} residual after {t_residual:.0f}\")\n", + "\n", + "plt.xlabel(x_name)\n", + "plt.ylabel(y_name)\n", + "plt.colorbar(cax=fig.add_axes([0.42, 0.15, 0.01, 0.7]))\n", + "\n", + "plt.sca(axs[1])\n", + "plt.scatter(X[x_name], X[y_name], c=Y_plot[1], cmap=\"viridis\", vmin=Y_plot[1].min(), vmax=Y_plot[1].max())\n", + "\n", + "plt.title(f\"{FOLDER} - tau exp [s]\")\n", + "\n", + "plt.xlabel(x_name)\n", + "plt.ylabel(y_name)\n", + "\n", + "plt.colorbar(cax=fig.add_axes([0.92, 0.15, 0.01, 0.7]))\n", + "fig.tight_layout()\n", + "plt.savefig(FOLDER / \"postprocessing\" / \"scatter.png\")\n", + "\n", + "# plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "b3664fc7", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "PP_data = pd.read_csv(FOLDER / \"PP_numbers.csv\")\n", + "\n", + "plt.hist(np.log10(PP_data[\"PP_number\"].values), bins=20, edgecolor='black', alpha=0.7)\n", + "plt.vlines(np.log10(0.1), ymin=0, ymax=plt.gca().get_ylim()[1], colors=\"red\", linestyles=\"dashed\", label=\"SPP limit\")\n", + "plt.title(f\"{FOLDER} - Pi number distribution, n={len(PP_data)}\")\n", + "plt.xlabel(\"log10(Pi)\")\n", + "plt.ylabel(\"# samples\")\n", + "plt.legend()\n", + "plt.savefig(FOLDER / \"postprocessing\" / \"PI_distrib.png\")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "803b3138", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PP range: 7.51e-05 - 2.79e+03\n" + ] + } + ], + "source": [ + "\"\"\" PP number range from input parameters range\"\"\"\n", + "\n", + "parameters_range={\n", + " \"log(h_l)\": tuple(np.log10((1e-4, 1e-2))),\n", + " \"log(eps_g)\": tuple(np.log10((1e-4, 2e-1))),\n", + " \"a\": (0.05, 0.5),\n", + " \"temperature\": (450, 800),\n", + " \"log(K_s)\": tuple(np.log10((1e-3, 1e-0))),\n", + " \"u_g0\": (0.02, 0.4),\n", + " }\n", + "p = parameters_range\n", + "PP_max = 8.314 * (np.max(p[\"temperature\"])+273) * 10**np.max(p[\"log(K_s)\"]) * 10**np.max(p[\"log(h_l)\"]) * np.max(p[\"a\"]) * 1 / ((1-10**np.max(p[\"log(eps_g)\"])) * np.min(p[\"u_g0\"]))\n", + "PP_min = 8.314 * (np.min(p[\"temperature\"])+273) * 10**np.min(p[\"log(K_s)\"]) * 10**np.min(p[\"log(h_l)\"]) * np.min(p[\"a\"]) * 1 / ((1-10**np.min(p[\"log(eps_g)\"])) * np.max(p[\"u_g0\"]))\n", + "print(f\"PP range: {PP_min:.2e} - {PP_max:.2e}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "cd9e3e57", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Monte Carlo samples: 50000\n", + "\n", + "==================================================\n", + "PP STATISTICS\n", + "==================================================\n", + " Min: 6.16e-03\n", + " Max: 9.40e+01\n", + " Mean: 2.56e+00\n", + " Std: 4.94e+00\n", + " Median: 7.97e-01\n", + " log10 range: [-2.21, 1.97]\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "def monte_carlo_pp_sample(parameters_range, n_samples=10000):\n", + " R = 8.314 # Gas constant J/(mol·K)\n", + " \n", + " # Initialize storage for samples\n", + " samples = {key: np.zeros(n_samples) for key in parameters_range.keys()}\n", + " # Sample uniformly from each parameter range\n", + " for param, (min_val, max_val) in parameters_range.items():\n", + " samples[param] = np.random.uniform(min_val, max_val, n_samples)\n", + " \n", + " # Compute PP for each sample\n", + " Pi_values = (\n", + " R * \n", + " (samples[\"temperature\"] + 273) * \n", + " 10**samples[\"log(K_s)\"] * \n", + " 10**samples[\"log(h_l)\"] * \n", + " # 10**samples[\"log(a)\"] / \n", + " samples[\"a\"] /\n", + " ((1 - 10**samples[\"log(eps_g)\"]) * samples[\"u_g0\"])\n", + " )\n", + " \n", + " return Pi_values, samples\n", + "\n", + "\n", + "parameters_range={\n", + " \"log(h_l)\": tuple(np.log10((1e-3, 1e-2))),\n", + " \"log(eps_g)\": tuple(np.log10((1e-4, 2e-1))),\n", + " \"a\": (0.05, 0.3),\n", + " \"temperature\": (700, 800),\n", + " \"log(K_s)\": tuple(np.log10((1e-3, 1e-1))),\n", + " \"u_g0\": (0.02, 0.1),\n", + "}\n", + "\n", + "# parameters_range={\n", + "# \"log(h_l)\": tuple(np.log10((1e-7, 1e-4))),\n", + "# \"log(eps_g)\": tuple(np.log10((1e-4, 2e-1))),\n", + "# \"log(a)\": tuple(np.log10((1e-2, 1e2))),\n", + "# \"temperature\": (450, 800),\n", + "# \"log(K_s)\": tuple(np.log10((1e-7, 1e-3))),\n", + "# \"u_g0\": (0.02, 0.4),\n", + "# \"E_l\": tuple(np.log10((1e-3, 1e0))),\n", + "# \"E_g\": tuple(np.log10((1e-4, 1e-1))),\n", + "# \"P_bottom\": (1, 10),\n", + "# }\n", + "\n", + "# Run Monte Carlo\n", + "n_samples = 50000\n", + "pp_values, samples = monte_carlo_pp_sample(parameters_range, n_samples)\n", + "\n", + "# Statistics\n", + "print(f\"Monte Carlo samples: {n_samples}\")\n", + "print(f\"\\n{'='*50}\")\n", + "print(f\"PP STATISTICS\")\n", + "print(f\"{'='*50}\")\n", + "print(f\" Min: {np.min(pp_values):.2e}\")\n", + "print(f\" Max: {np.max(pp_values):.2e}\")\n", + "print(f\" Mean: {np.mean(pp_values):.2e}\")\n", + "print(f\" Std: {np.std(pp_values):.2e}\")\n", + "print(f\" Median: {np.median(pp_values):.2e}\")\n", + "print(f\" log10 range: [{np.log10(np.min(pp_values)):.2f}, {np.log10(np.max(pp_values)):.2f}]\")\n", + "\n", + "# Visualization\n", + "fig_MC, ax = plt.subplots()\n", + "\n", + "# PP distribution (log scale)\n", + "ax.hist(np.log10(pp_values), bins=20,edgecolor='black', alpha=0.7)\n", + "# ax.hist(pp_values, bins=50, range=(0,10),edgecolor='black', alpha=0.7)\n", + "\n", + "ax.set_xlabel(\"log10(Pi)\")\n", + "ax.set_ylabel(\"Frequency\")\n", + "ax.set_title(f\"{FOLDER} - Predicted Pi Distribution\")\n", + "ax.grid(alpha=0.3)\n", + "ax.vlines(np.log10(0.1), ymin=0, ymax=plt.gca().get_ylim()[1], colors=\"red\", linestyles=\"dashed\", label=\"SPP limit\")\n", + "# ax.vlines(0.1, ymin=0, ymax=plt.gca().get_ylim()[1], colors=\"red\", linestyles=\"dashed\", label=\"SPP limit\")\n", + "\n", + "ax.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "02a6baa6", + "metadata": {}, + "outputs": [], + "source": [ + "# fig_MC.savefig(FOLDER / \"postprocessing\" / \"PI_monte_carlo.png\", dpi=150)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "721935eb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Diagnostic for sample 5: PP=1.3028055800782978e-06, residual=2.90e-12\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\"\"\" sample inspection\"\"\"\n", + "from sparging.model import SimulationResults\n", + "from sparging.config import ureg\n", + "import sparging.postprocess as pp\n", + "\n", + "idxs = np.argwhere(PP_data[\"PP_number\"].values > 1)\n", + "# idx = idxs[0,0]\n", + "idx = 5\n", + "print(f\"Diagnostic for sample {idx}: PP={PP_data['PP_number'].values[idx]}, residual={10**Y[f'log(residual_{t_residual:.0f})'].values[idx]:.2e}\")\n", + "sim_result = SimulationResults.from_json(FOLDER/\"samples\"/f\"sample_{idx}.json\")\n", + "\n", + "fig, axs = plt.subplots(1,2, figsize=(14,5))\n", + "secax0 = axs[0].twinx()\n", + "secax1 = axs[1].twinx()\n", + "lns1 = axs[0].plot(sim_result.times, sim_result.inventories_T2_salt, label=\"T2 inventory\")\n", + "lns2 = secax0.plot(sim_result.times, sim_result.fluxes_T2, color=\"red\", linestyle=\":\", label=\"T2 extraction rate\")\n", + "lns = lns1 + lns2 \n", + "labels = [l.get_label() for l in lns]\n", + "axs[0].legend(lns, labels)\n", + "axs[0].xaxis.set_units(ureg.day)\n", + "\n", + "for t in [8, 9, 10, 11]*ureg.hour:\n", + " idx_to_plot = pp.idx_from_t(sim_result.times, t)\n", + " time = sim_result.times[idx_to_plot].to(t.units)\n", + " axs[1].plot(sim_result.x_ct, sim_result.c_T2_solutions[idx_to_plot], label=f\"{time:.1f}\")\n", + " secax1.plot(sim_result.x_ct, sim_result.y_T2_solutions[idx_to_plot], linestyle=\"--\", alpha=0.5)\n", + "axs[1].set_ylim(0)\n", + "axs[1].set_title(\"c_T2 (left) - y_T2 (right)\")\n", + "axs[1].legend()\n", + "fig.suptitle(f\"{FOLDER} - sample {idx} - PP={PP_data['PP_number'].values[idx]:.2f}, residual={10**Y[f'log(residual_{t_residual:.0f})'].values[idx]:.2e}, h_l={10**X['log(h_l)'].values[idx]:.2e}, K_s={10**X['log(K_s)'].values[idx]:.2e}\")\n", + "fig.tight_layout()\n", + "\n", + "FOLDER_PP = FOLDER / \"postprocessing\"\n", + "FOLDER_PP.mkdir(exist_ok=True)\n", + "fig.savefig(FOLDER_PP / f\"diagnostic_sample_{idx}.png\", dpi=150)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "50166b05", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0.98, 'sample 5, tau = 22766.58 second, n0=2.42e-12 molT2')" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjcAAAHgCAYAAABZ+0ykAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjgsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvwVt1zgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAeHhJREFUeJzt3Qd4k1UbBuAn3XtT2jLK3ruAgEzZQ8GJoj8gLlRURBwoKrhwIu4tuEVFENl77132KrRAS2lLN935r/eU1LaUUiDpl3x57usKDZknJ994c94zDEaj0QgiIiIinXDQugBERERE5sTghoiIiHSFwQ0RERHpCoMbIiIi0hUGN0RERKQrDG6IiIhIVxjcEBERka4wuCEiIiJdYXBDREREusLgRqcmTZoEg8Fgttc7ceKEer2yLr///vs1vWZmZqYq56pVq6AH27dvx+OPP47mzZvD29sbVatWRa9evbBixYpLHvvtt99iyJAhqFWrFtzd3VGvXj08+uijiI2NLfE4qZvL1btcRo8efclrr1u3DgMGDIC/v7967fr16+P111+/5HG5ubmYOnWqKq88zs/PD506dcKGDRuu+Fm7d+9eZnn69et3yWOPHj2K//3vf6hZs6Z6n7p162LcuHFITEyEPZM6lEtlkH20VatWcHNzQ1hYGMaOHYv09HSzvPbff/+Ne+65R23D8v3KNn3vvffiyJEj1/R69913n9qWBg0aVOJ22TcmTpyIjh07IigoCD4+PoiIiMDXX3+N/Px8mNuPP/6Iu+++Gw0bNoSDg4P6XGWR/XvUqFFo1KgRPD09Ua1aNQwePFgdD6zJiYvH8BkzZqj/l3dcKX6RY9Dhw4cxfvx4Vd9ynAgICMCNN96Iv/76C9bKSesCkG154oknMGzYsBK3ycnzWoObyZMnq+uVdZC3pN9++w1btmxRB7qWLVsiIyMDX375JXr27IkffvgBw4cPL3rsq6++ih49euCtt95SB8NDhw6pAOSff/7Bzp07VWAk2rRpg40bN17yXl988YU6+N56660lbv/1119VIHHXXXep+728vHDs2DGcOXOmxOPkZCDPlUDoueeeU0GNlFcOyPK3IurUqYNffvmlxG1y4Cvu3Llz6NChgzoRyeeTAEc+n3z+lStXqveTEwdZjnxHEjA8+OCD+PDDD9WJ6vnnn8f+/fuxZMmS6379d955ByEhIXjppZfUNhETE6O2a9l2N23ahKZNm1b4tebPn485c+ao7aU02VZkm5b96OWXX4azszMWLlyofhTI+3z//fcwp59++glxcXFo3749CgoK1I+Bssi+KIH6U089hSZNmqht/oMPPlDb/eLFi3HTTTfBGm0sdVyR/VP2ydI/xuQzSb3LdyPHlnbt2iEvLw8zZ87EnXfeqY7hr7zyCqyOrC1F+vPqq6/KmmFme72oqCj1eu+9957ZXvPcuXPqNaWsenD27NlLbsvLyzO2aNHCWLdu3Ss+duvWrao+Xn/99XLfp6CgwFinTh1jeHi4MT8/v+j2U6dOGT09PY2PPvroFcv64YcfGh0cHIwbN240Xotu3boZmzZtesXHffPNN+ozLVu2rMTtb731lrp9x44dRnsldSgXS5LtLzQ01NinT58St//yyy+q/hcsWHDd71HWtnz69Gmjs7Oz8YEHHqjw6yQnJxurVatmnDp1qtq2Bw4cWOL+pKQkY05OziXPe/zxx9VniY6ONppT8X1LyiJlqujnT0tLM1atWtXYs2dPo7WIungMnz59epn3jxgxQh0/LnesluNOaVIvHh4exqysLKO14U+mK5Ao/OGHH0aNGjXg6uqKKlWqqOa4ZcuWFT1m6dKlqhmyevXqqtlXmmcfeeQRJCQklJkq2rNnj4p4fX19VfOeNNFLJCy/3qVZX1Ia0gT67rvvlpmi+Pnnn9Vz5NeSNAN369ZN/RquCIm2pVlXmk/lV33fvn0r/FxzN5FKXQqJ/E1NoCNHjixKZdx///2qVcjDw0O1btx8882IjIws8TrSxCrPk9crq64qM+UVHBx8yW2Ojo6qKVd+zV7psfI4eXzpx5Ymv66OHz+u6qd4q4ekuqTVRX6VX8lHH32Erl27ql+XliS/roVs62W18Mj+cr37n5D/SwuZ/OKX7UUes3z58kte7+DBgyqFIi1j8nrSkiQtAdnZ2UWP2bt3r9qfJa0n5ZN0jrS8lbV9SWudtFhIqkfeW9KQsh8XJ2sTy74cHh6uXk9aNKTF4XrIfiL7r+wnkoKU61JHzzzzTInPIi0aks6RbaU4Of7Ic2bPno3rVda2LPUhx8MrbcvFSdlDQ0Px5JNPlnm/fB+m7ak4aVkRp06dKnG7pMWklVnKJ99148aN8dlnn1W4PBVtUSzr80vdSotHRT6/6buUbVOOx3Jslnp4++23i77Dzp07q9sbNGhwybZY0W32ekgasKxuDlL30gKflJQEa8Pg5gqkGU6aSaXZTZpw5QQiB7Di/QWk2V8CBmmelMfIYzdv3qw2yLKaMiVlIGmLWbNm4aGHHlJNxU8//bTqgzFw4EB1wJGmTDlJST67tBdffFGd3KQscpGUg6R15LbySFOxHNhlp/vjjz9Us2taWhq6dOmimqgrQnY4FxcXdQKRzzd37lxcC9l5Fy1apK4/8MADqolULtLcLOQzBQYGqveTx8lBycnJCTfccMMlJ4/rISceCSwrcrkW8ry1a9dWqGl+9erVKl10pcd+99136sBb+oS1Zs0aFSzLQVIOblJfcuCVfjmpqalFj5MDrgSD0tdGtiU50ctj5X2v5oAo2728nzxX+tHISf7ChQslHiPbtAQQcuLat2+f6uch5ZTvVYJVOeFc7/4nwX6fPn1UcCHll21byiUniuIBzu7du1WTupwsXnvtNRVgTJkyRQUDOTk56jGybUmKTsr68ccfq/1P9hc5AZX+sSGk/k6ePKnKJX0/5IQqn6t4HxAJ3mVf7t27t/oskkaR/f56t2M5ttxyyy0qqJN0pqRD5VgiaaLiJz3RokWLEs+VIEH6iJjuN/e+IMciqZeKpqQkOJXUh9SjBPhXQ9Iosg3Kid9EjmfyXcvnkxTRvHnz1LFVAidTKtySUlJSsGPHjgp/fvkub7vtNlVG+S779++PCRMmqO1rxIgR6ruV84L0/5FtsXh/nqvdZs1JfmjJD46yAjzNad10ZO28vLyMY8eOrfDjpekuNzfXePLkSdUE+M8//1ySKvrggw9KPKdVq1bq9r///rvoNnmNKlWqGG+77bai21auXKke16ZNmxJNhCdOnFBNwA8++OAl72UiTbZOTk7GJ5544pLm05CQEONdd91V7uc6c+aM8aGHHjL+8ccfxrVr16pm7Q4dOqj3kNSDpdNS0rwuTdL169c3Pv3000W3SxOrvIY0uRZnqiv5Wx7T4ypyKf0eFfHSSy+p586ZM6fcx6WmphobN25srFGjhvpOLuf8+fNGNzc3Y9++fS+5r2HDhuo+b29vlfaRz/buu+8a3d3djTfeeGPRNiOpKCmTj4+PsUmTJuo7Xbx4sfGOO+5Qt3/99dcV+lyff/65ccWKFcb58+cbx4wZo7avrl27lmjON207HTt2LFGXd955Z4Wasq+0/2VkZBgDAgKMN998c4nbpQwtW7Y0tm/fvui2m266yejn52eMj4+/7OvdfffdRldX10tSHP3791fN75I6Kb7dDBgwoMTjpC7ldlO6z/R93XrrrSUet379evW4a01LSQpBni/vV5yUR7YDkzfffFM9LjY29pLXkFRVgwYNzL4vyLGre/fuavuqSKpItvdatWoZJ0yYUHRbWWmpssh2K+nV4scEIftH9erVjSkpKSVul+1Uvg9JcV2N8tJSZbn33nvV/rBt27YKf5ezZs265PhfOnWbmJhodHR0NI4bN+6qt9mo60hLlZdy/uijj4zWiMHNFZgOiNIPQg5YZeV8Jef6yCOPqJ1JdrTiB4G33377koDj0KFDJZ5/zz33GA0Gg/HChQslbpcTQkRExCUHn/fff/+SMshBsni/jtLBjWlDlH4dsuMUvwwdOtQYHBxsvFpSF61btzYGBgaq1zFncCOvJwdmOeFL4Fa8Tvv162e24EaCCqmTilyys7Ov6vOZ6vyZZ54p93Hyvffq1UsdiDZt2lTuYz/99FP1mn/++ecl90ngJ/dNmTKlxO3Tpk1Tty9durTEidXFxUUFxiYS/EjgLNvxtZDtsnSQLieRdu3aqf45EhCvWbNGBUWmfiBX2m6utP/JZ5L3/Ouvvy7Zrp9//nm1X6Wnp6sgSE4KDz/8cLnvJ/tB6YBFzJw5U73PwoULS2xfX375ZYnHHTx4UN3++++/q/9LnxZT+UqTk+X1BDdlHTNeeOEFdfIuHdzExcVd8hpS/8UDIXPsC7INDR8+XNX1lQL64n1mZNst/lkqEtxs377d6Ovra+zUqVOJQFlex/RDrvQ2Yfo+TH2N5EdT8ftLB+bXEtxMnDhRvccnn3xyXd+lHP9lPylNbrv99tuvepuNMmNwI/Unxw/5QVRWXxxrwNFSFeij8sYbb6jmUkmZSG5URplIc5/0eZFe9NIkLmkUuV+a+iU3KrdLf4bSzfRCmsyLM6V5Svc/kNuLpxNM5H3Luk2a3S/n7Nmz6q801ZblWkasSNP20KFD8cILL6jm+CulGK6G9CmSVJQ050ufIsklSxllxEdZdXqt5PuUFE5FSNN3RU2fPl31u5L+Iu+9995lHycpEdOoJWk6l7TblVJS0gws+fXSJI0n34OkY4qTJm4Z+ivN5JLSkccJSUtIPxATyanLcyVVEx8ff9VNzTIiR4aLStrHNIpLUiS7du1SKQpJRQpJg8p7S+pVRvJIs/u17n+m7fqOO+647GtIfwDZdiRVJP1AyiPpLlM5S/chMd1fnKkuTaRvhzBto6bHX26fvR5lHTPk/bOysi4pn5TDNAKveL0UPxZd774gP5Zl/5Q0oaQHy9pGS5PRhZ9//rlKpUi5TWWX46ekv5KTk1W/QlO9mkg/QUnzSZ+8BQsWlLhfPqs895NPPlGXspj6Q0o6VbZNExnFJ30jr5WkvGR7ffPNNzFmzJgKP+9yx//S5wrT7cW/46vdZq+XjACTFJrUv+y/5pxyxJwY3FSgI9W0adPUJTo6WvUxkZO5HPylL4jkdCWokI6txQ/S0tHPUmR4Ylm3lT7Qlv4cQuYlKH5Cu15yQBPmHs4rB0jp6Cn9hEoflIoPNzYdEIp3ojQ9riKkn4sMya6IqKioy851UTqwkYO8bA8yFPxyO7+UWfqkSN5a8uzSd6I8ckCXi/RfKatjpfSrkMDiSt+RHNDlYGqp77P4cyWwkc7gpQ++piC7eJ+Pa9n/TNu1nMQu1zlaTuoS2EhfjtKdTkuTfaj0XEPCNJTe9H4VZdonL7fPVmR7uh7yY0tIR3zph2EiJ39T52pz7AumwEa2fQnAJdCtCOkbI88tPaWBqW+Y/KiRfkQSnJvIPiBBuhzHpB9W6c7q8hz5rqW/lsw7VZbatWurv//++2+JY4cpILjWwEYCI7lIX5nKYu5t9kqBjRyz5Aen9BmVQMtaMbi5CtIxUqJx6aS4fv16dZvpxFX6l8VXX30FS5ERGtKyYXpv+eUhE68Vn0elNPlFLr+2pBPo7bffbpZySCc4+WUtO4+MELtapX/lFiefrXSdyjwLp0+fLvFepgOsjECTznYmFe3oLCOUtm7dWqHHVuTAJ0GuHOTl4C6tDeUFNnJAl86Q8qu1dGtLWeSkYeqAXRb5XqVTq3SUbd26ddHt8stWmE7+sh3Ir2oJdKVjsakO5SQjAYMEP9dyQDR1Ri4eZEidyf4i35sEOaXn2LhSS8qV9j8ZFSXBrpwkr/RLWQ7If/75p/pVfbnPJwGmdNyUE0Px71s6u0pAeLWjy+TxEoDLL9zi+53sr7LfWjq4kZZACSxlu5RWVhP57qVzt/wCv959QbYb6SAtgY0c90p3dC+PjA6V4L40mTxPAhBpRSy+v0uwLIGNbDcySlUCmdLke5IgTYIgCfjLOwGbgr/rJXPESFAjkwxK609lMvc2ezkSSEpgIwNJpGN86eOztWFwc4Ue77KTyHBCaUaXIdqy88sJwHRQkNvlZCC/JmUnl2ZE+TUgO56lyK9WOTHKAUXKKDuTHECld/3lyEFURojIiBYZySAHFTkwSLO+NA1LKq28UQQSTEkwIycTaU6XX1Xya1kONnJQKz7CQYbJSr1dqYlX6lN+fZlaLaTu5KQjZZXZSeWALPUrBygZHSDpndInQ2kBkKBG0iHya1Q+k+zokuapCClD27ZtYQ5y4pTAQ5r2JSUl9VqcBBymA4KkUSQIke9DfnkVb3GRUT/Ff2ULaYaWCfpkVMTl0n+SHpWROvI9m9Ki27ZtU9+r1KcclIofjOX9ZTuQ70jeU4IxaYWU0UbFSTAkgYFp5JGM/pIAQbZBmbRNyiavJYGVpJqkDCbyy1lO7NKELfuIDFeW1hppupcWFZnJ9nr2P0mlyHYorWSSZpF6lXSaDCGXzyJ/ZRSjkNmYpQ7khC9lkZOmbP8SCMtJWV5ftllJD8r7yggt2Sal/BJYSyqsdCvBlcj2KNumfF4JemUItuw7UudlpaVk1KO0oJha0K6X7JdSbmnFkG1SWmokdSkTN8p3UnxG6WvdF2QEkgTeMqJHgoXi27Js78UDbdnP5fOZRlxJHZRVD3I8k/2i+OSeMipIAhsh2598juKzIMtx2DS9hEx1IN+1pEBldJocU2RkqLSoy/G5rFnDS5OA2TSKVFrZZMizaUZe2T9N+6iMxpJtRepSRjuVbj219HQL5t5myyLHUwls5LuSVik57hcndVHWxIua0rrTjzWTTmqjR49Wk7BJz38ZdSId8KQDrHRQNNm/f7+xd+/eapSKv7+/GgkiPddLd5Y1dfKVjrQV6chVeqI0UyfGn376yfjkk0+q3vTSS75Lly6X9Mq/3CR+0smvR48e6vPIc6WTnHQKKz3JWmnfffedGnkiI1Oks558ThmRIKMVSvv333/L7GxZFnlf6ZQsZZHnSF2YRpnIBGDSWU462nbu3FmN0ipr4rPDhw+rzpHymaROpCOhjOCpSIdiczKNeqjICJPyHldWJ1PTpGvff/99uWXIzMxUHWll1JV8TzVr1lSjUMoamRQZGak6Ssp2K51QZfSbfHellS7TkSNHVAdGmXBNvjd5bvPmzVXn1bLeR0Z7yGgh6agsj5cJCGVk35VG0lR0/xOrV69Wn0W2T+mALmWT/5fueC37quyf0gleOkRK/YwcObJEuaVeZPSVdFaVx8ioq9KdME37YunXL6vTpnS4lE7e8p3I68nnkXoua1uWAQQyevFKLnfMuNx+/+uvv6r3lfeX15fjR3mj8q6GHEMuty2X7oQrn7cip52yOhSbBg9c7lL6O5LvYtSoUWpbkG1Cjg3S+fiNN96o0Ocy1WVZl+LHddNnutzlSip6/C+vbiqyzUZdR4fi8uqiso+zFWWQf7QOsKhiTC0i0kJQXgdKrcmvQkmdya+qK03SRkSFpGVBfnVL/6LL9RUhoorhJH5kdpJDl5EtDGyIKk4mN5R+SZJuJqLrwz43ZHYV7ZRIRP+R/hpyIaLrx7QUERER6QrTUkRERKQrDG6IiIhIVxjcEBERka4wuCEiIiJdYXBDREREusLghoiIiHSFwQ0RERHpCoMbIiIi0hUGN0RERKQrDG6IiIhIVxjcEBERka4wuCEiIiJdYXBDREREusLghoiIiHSFwQ0RERHpCoMbIiIi0hUGN0RERKQrDG6IiIhIV+w6uFmzZg1uvvlmhIWFwWAwYM6cOZq+X25uLp5//nk0b94cnp6e6nHDhw/HmTNnLFouIiIiPbHr4CYjIwMtW7bEp59+ahXvl5mZiR07duDll19Wf//++28cPnwYt9xyS6WUj4iISA8MRqPRqHUhrIG0pMyePRtDhgwpui0nJwcTJ07EL7/8guTkZDRr1gzvvPMOunfvbpH3K8vWrVvRvn17nDx5EjVr1rzu9yUiItI7J60LYM3uv/9+nDhxAr///rtKEUkw0q9fP0RGRqJ+/fqVUoaUlBQVCPn5+VXK+xEREdk6u05LlefYsWP47bff8Oeff6JLly6oW7cuxo8fj86dO2P69OmVUoasrCy88MILGDZsGHx8fCrlPYmIiGwdg5vLkD4vkrFr0KABvLy8ii6rV69WgY+QVh1pVSnvMmbMmGv6YqRz8d13342CggJ8/vnn1/4NExER2RmmpS5DggpHR0ds375d/S1OghxRrVo1HDhwoNwK9vf3v6bA5q677kJUVBRWrFjBVhsiIqKrwODmMlq3bo38/HzEx8ertFRZnJ2d0ahRI5iTKbA5cuQIVq5cicDAQLO+PhERkd7ZdXCTnp6Oo0ePFv1fWkp27dqFgIAAlY6699571TwzH3zwgQp2EhISVEuKzEMzYMAAs76fjITKy8vDHXfcoVJi8+bNU8FVXFyceqw8xsXFxUyfnIiISL/seij4qlWr0KNHj0tuHzFiBGbMmKFaUd544w38+OOPOH36tGpF6dixIyZPnqwCHHO/n/ThqV27dpnPlVYccwxBJyIi0ju7Dm6IiIhIfzhaioiIiHTFyR5HQclaTd7e3mqoNhEREVk/STSlpaWpSXUdHMpvm7G74EYCmxo1amhdDCIiIroGMTExqF69ermPsbvgRlpsTJVj7ll/pQPykiVL0KdPHzVMnFgv3Ga4L5kbjzOsF3vdZlJTU1XjhOk8brXBzZQpU9TK1wcPHoS7uzs6deqkFqZs2LDhVY84ksn0KjLnjCkVJYGNJYIbDw8P9bq2vAGZG+uFdcNthvsTjzM8BptLRbqUaNqhWJYyePzxx7Fp0yYsXbpUzfMikWVGRsYVn3vo0CHExsYWXSprIUsiIiKybpq23CxatKjE/2VByuDgYLXkQdeuXct9rjyuIitlZ2dnq0vxZi1Ta4JczMn0euZ+XVvHemHdcJvh/sTjDI/B1+tqzq1WNc+NzN4rLTCRkZFo1qxZuWmpWrVqqVWzmzRpgokTJ5aZqhKTJk1Sk+6V9uuvv6oUEhEREVm/zMxMDBs2DCkpKVfsVmI1wY0UY/DgwTh//jzWrl1bbjpqzZo1iIiIUC0yP/30E7788ksV9JTV2lNWy410SJKlFCzR50bSa71792afG9YLtxnuSxZhqeOMLPciXQOs5JRw1aTsGzZsUH03nZzsbqyMLurGYDCobfpyw7zl/B0UFFSh4MZqPuWYMWOwZ88erFu3rtzHSWfj4h2OZTkEGfn0/vvvlxncuLq6qktpUoGW6vRryde2ZawX1g23GevbnySYkTXskpOTYcvkc4SEhKg+mJzDzHbrRgIbWYaorLUUr2Z7t4rg5oknnsDcuXNVi8yVxq6XpUOHDvj5558tUjYiIj0zBTbSj1FS9dZ+8itvglZZnNjLy+uKE7zZmwIbqRvTJLsShMli0tezLTppHU1KYDN79myVVrrcopFXsnPnToSGhpq9fEREeiapKFNgIwsD2zI5Mebk5MDNzc2qT+BaKLChuqlSpYoKcCSVdj0tk5oGNzIMXDr2/vPPP2pSHvkFIXx9fdW8N2LChAlqRW5ZmVtMmzZNdSZu2rSp+rKkxWbWrFnqQkREVz/6hIMryFqY0lESeNtscPPFF1+ov927d79kSPjIkSPVdWmeio6OLrpPAprx48ergEcCIAly5s+fjwEDBlRy6YmI9MFWU1GkPwYzbYuap6WuZMaMGSX+/9xzz6kLERERUVmsO/lGRERUiaTbg3R/INvG4IaIiGwudVH64ujoCH9/f/VXujWcOHECDzzwgBqoIl0Y6tati1dffVV1bSjP1q1b8fDDD8PaSPeNsWPHal0Mm2EVQ8GJrEVOXgGcHQsPlkRknaQvpsnMmTPxyiuvqMWT09LS1OAUT09PbNy4UY0S+uqrr1CvXj3s3bsXDz30kFq7UOZFK2+0jp7l5OSUOYeM3rDlhuiiXTHJuOHV2fjh739YJ0RWTCakM11kdK38GJHrVatWLbqtX79+anCKLMZcp04d3HLLLWowyt9//31VaSl57W+//Ra33nqrGlUmSwTJvGxCgieZm01myS9ux44d6nnHjx9X/5cZdaU1SIbcy8y6N910E3bv3l1imaBWrVqpGffl/aX8d999twrWhLREyULTH330UVFLlbRMCbm9ffv2arJamRLlhRdeUMOoi7f4yJQrL730knp/mdl61KhRGDRoUIkyy3Ok7r7//nvoAYMbootWrlyCLU4PYVDkUyjIL2C9kF2SgR6ZOXmaXCy99IMEGQEBAVf9PFmf8K677lKz6MvI3HvvvRdJSUlqzhgJQn755ZcSj5cpTmT2fAmq5DMNHDhQTXWyYMECtTB0mzZt0LNnT/UaJseOHcOcOXMwb948dZGg5e2331b3SVAjryctT9JqJRdZRkhGDUt52rVrp4IlGYH83Xff4Y033ihRHplKRdJ1srSRtGQ9+OCDauHq4i1gUjaZ6E8+px4wLUV0MR3183EPPAInBCEZB/duRqOWHVk3ZHcu5OajySuLNXnv/a/1hYeLZU5LEjx88skn+OCDD676udJycs8996jrb731lnqdLVu2qNYhCXSmTp2KkydPIjw8XLXm/P7773jxxRfV41euXKkWg46Pjy9aCkjSYhLI/PXXX0X9e+R5MjpY0mrif//7H5YvX44333xTteRIKklajqR1xeTzzz9XQc6nn36qWnMaNWqkJsB7/vnnVarONGGfpOVee+011Wpkuk2WMZKWItPoY2nluvPOO9UsxnrAlhsiAOuPJiAxy4DNBY1UfcTvXMh6IdIJOeFLICInb2m1uFotWrQoui79eSQAkWBFtG7dWgUVv/32m/q/tLjIfaYWEGmpkRYRmQFaAgfTJSoqSgVcJpKOMgU2QlJMpve4HOlnJC06xfsI3njjjer9Tp06VXSbLDRdmtSDBDRC3kfmi5N0lV6w5YYIwLw9hc2zO51bo0fBbnidLn8BVyK9cnd2VC0oWr23JQKbHj16qCDg66+/vqbXKD1TrgQT0tJiIq03koqS/i7yt2/fvmr1aiGPk0BFlhgqzc/Pr8LvURZJeZUe/GBK7RmK3S4BWWnDhw9X5ZWO13KR4KpLly7QCwY3ZPey8/KxZH/h0h9tetwKLJ+BJjl7kJicgkA/X7uvH7IvclK0VGqoskmfFAlspOVCWiksta7SsGHDMHHiRNVKI6km0+z7QvrXSH8bJycnFUBcK0lLyZIExTVp0kQtPVQ8yNmwYYNqAapWrVq5ryctSUOGDFH1IsHN/fffDz1hWors3rojCUjLykOwtyu6duqKREMA3Ay5OLBlqd3XDZGtkhYbGSkkfVKkj8u5c+dUkGFaw9CcZC6dTp06qXl1ZNTR4MGDi+7r1auXajWSQGLx4sVqlJMEIBIMbdu2rcLvIYHR5s2b1fMTEhJUq85jjz2GmJgYNRrq4MGDap1Gmctn3LhxFQrkJDX1ww8/qPTWiBEjoCcMbsjuzb+YkhrQPBQOjg6IDeyg/p91cJnd1w2RrVqyZAmOHj2KFStWqOHakhoyXSxBUlMyYum2224rWvhZSIuKjETq2rWr6tPSoEEDNcJKghQZul5RMoxdRjxJa43MxSNrLkrrjLy2dG5u2bIlRo8erQKsiRMnVug1JfCS+pA0WlhYGPTEYLT02Dsrk5qaqnqey5BA6Tlu7hV2ZUOToXnXs5qp3lhzvWTl5qPdG8uQlp2Hv0Z3RNtaATiwcQF+mbcEO10iMPfl++DoYLDLutES66Vy6iYrK0t1bJWWBzc3N9gyacmQ43vxEUFUft1kZmaqoEbmtpGgzBqUt01ezfmbWwDZtbWSksrOQ4iPG9rU9Fe31W/fD/8498e+CwHYfSpZ6yISEZk92Dlz5gxefvllFSzIBId6w+CG7Nr8PWf+S0ldbKFxcnRA1/qFU7CvOnRO0/IREZlb9MWU1h9//KFabaSzs97o7xMRXUVKatmBwnkkBrYomYfvG26A//6l8Ni1FuhdOEsoEZEe1KpVy+KzQWuNwQ3ZrTWHzyE9Ow9hvm5oXeO/+SZEV5843OI8HWfSA5CQNglB3rbdH4GIyJ4wLUV2a35k4Sip/sVSUiZ+jbohB84IMyRh547NGpWQiIiuBYMbst+U1P6zZaakFBcPnPFtra6m7tVmnR0iIro2DG7ILklH4YycfFTzc78kJWXiWL+X+htybh3yC/SdnyYi0hMGN2TXKakBzUMuWZvFJDRikPobYdyP3VHmn9WUiIgsg8EN2Z0LOflYfsCUkrr8rJxOIU2Q5BSslmKI2sbUFBGRrWBwQ3Zn1aF4ZF5MSbWsXs7CmAYDksO6Is/ogMST+yqziER0HWRNqbFjx1ZaHc6YMaPECt/WbIYNlfV6MLghu01JDWoRetmUlIlv/1fQOvtrvJXUHfFpWZVUQiK6kpEjR6r913SRdZf8/f3VelJ///03Xn/99RLzukybNs0uT/L2isEN2WFKquyJ+8oSGBqOWtUKH7fmcILFy0dEFdevXz/Exsaqy+nTp9XK2LImUUBAALy9vVmVdozBDdmVlYficSE3H9X93dG8WjkpqWK6NyxcimH1wcIWHyKyDq6urggJCSm6yCrb0oJTPC0l10+ePImnn366qJVn1apVuP/++9UCjKbbJk2apB6fk5OD5557Ti1P4OnpiRtuuEE9vnSrT82aNeHh4YFbb70ViYmJVyyrBF9Dhw5VrUuBgYEYPHiwWhlcSFAmr/Xrr78WPV5an2ThyMjIyKKWqiFDhmDy5MkIDg5WC0c+8sgjqrzlmTFjhmq5kgUyZXHMssr677//IiIiQr1fnTp11Hvk5eUV3Z+cnIyHH35Y1a88plmzZpg3b566T17vnnvuUSuvy2do3rw5fvvtt6Ln/vjjj+rzZmdnl3jP22+/HcOHD4elMLghuzJ/T2xRq82VUlImg3xPYLbLKxh85EXk5RdYuIREViIn4/KX3KyreOyFij3WQiRIkBPva6+9VtTK06lTJ5WmkgDBdNv48ePV4yXoWb9+PX7//Xfs2bMHd955p2ohOnLkiLp/8+bNGDVqFB577DHs2rULPXr0wBtvvFFuGWT1bXmcl5cX1qxZg3Xr1qnr8roSnDRq1Ajvv/++ek0JxGRRy4ceeghvv/22ChZMli9fjgMHDmDlypUqgJg9e7YKRC5n88WyPvroo+p9yyrr4sWLcd999+HJJ5/E/v378dVXX6mA6M033yxaZLN///7YsGEDfv75Z/UYKZcEkaZVvCUwkmBn7969Kgj63//+p95bSP3l5+dj7ty5Re+ZkJCgHi91bSlcfoHsRmZOHpYfLBwlNaj55UdJlVavWjAcHY4izeiO3SfiEVE3xIKlJLISb5Wzj9TvA9z753//f68ekJtZ9mPDOwP3z//v/9OaA5lltHRMSrnqIsoJUoIEk169eqlgpjhJUcmJWNJU0rpjIqthyw+c4rcdO3ZMBQ2nTp1SLR1Cgp5FixZh+vTpeOutt/DRRx+hb9++eOGFF9T9DRo0UCd+eczlSKDk4OCAb7/9tuhHlbye9PmRVqE+ffqowGbBggUqMHBxcVEBw1NPPVXideR2WehSWkiaNm2qArZnn31W9S+S1y/to4tlff7555Gamoo2bdpg48aNJcoqQYx8lhEjRqj/S8uNvJ60Xr366qtYtmwZtmzZooIq+aymx5hIC5cpMBRPPPGEev0///xTtXq5u7tj2LBh6vNKoCN++eUXFXBKq5qlMLghu7HiYDyycgtQM8ADzar5VPh5jmEtkeboB+/8ZBzevgIRdYdZtJxEVDHSEvHFF18UtTDI5Xrs2LFDLShpOombSEpFUitCTvKSiiquY8eO5QY327dvVx2dS/cDklYPCahMJHCR95ZARVpBSrcut2zZUgU2xd83PT0dMTExCA8Pv+R9D1SgrFK2rVu3FrXUCGlpkbJJi5O0TkkgUrpOij9WWnJmzpypUm9SV3KRlJ6JtEK1a9dO3S/BkAQ6pg7hlsLghuzGtaSkFAcHnA/tAu9T/8Lx+HIADG7IDrx45vL3GQpTEkWePVrOY0u1KIwt7ENiDnICrVevnrougY20TlwPeQ1p5ZETvintYmJqIbqW1bTldaUlRlosSqtSpbBPn9i9ezcyMjJUcBMXF1fUenQllzueGStQVimbpLakP05p0r9GWl7K88EHH+DDDz9UaT5Jocl3Iv2divcFat26tQrMpP+NtCRJPyLp52NJDG7ILmRk56mWGzGw+ZVHSZXm33IAcOpfNM/cjPjULAT7cJVw0jkXT+0fayaSzpEWhivdJidhuS0+Ph5dunQp87WaNGmCTZs2lbit9P9Lk3SQtGyYOgKXJSkpSbVmvPTSSyqwuffee1VLUvHgQoKfCxcuFN0m7ytBl7SsXGtZ27Rpg0OHDhUFiaW1aNFCpekOHz5cZuvN2rVrVedo6bdjCpakf1Ljxo1LPO7BBx9UQZC03kj6sEaNGrAkdigmuyCBTXZeAWoFeqBpWMVTUibeTfshHw5o7BCDLbv3WKSMRGQZMlpIOtTKiVU6s5puk5SOdNKV2yQFIydvCSpkFI/03YmKilIpm3feeUf1hxHS8VbSOu+++6464X/66aflpqSEvGZQUJAKAiQYkNddvXq16lMjgYMYPXq0OuFPnDgRU6dOVa0uxfuyCGkNeeCBB1Sn3oULF6o+MWPGjCmzv03xsr733nsqLfbZZ59dUtZXXnlFtajIaLF9+/apVJYEYlIO0a1bN3Tt2lWNblq6dKkqu7y36XUkKJLbpd+RPFdGcElwVlYdSP1/8803qpOzpTG4IbtwzSkpE48AxHk3U1fTIgsPckRkG6TjrQy7rlu3blEaSEZMSUAhw7PlNglWhPQHkeDmmWeeQcOGDXHLLbeokT+mloYOHTqojsGffPIJWrVqhSVLlhQFApcj/WQkuJLh45L+kVYNOcFLK4y05EhwIcHTTz/9BCcnJ/V4SWHJ+5iCKtGzZ0/Ur19fBRt33XUXbr755qIh7GXpcLGsEoDJc8oqq6SJpGO2BCjSL0aeI8FV8T48s2bNUvfJkG9pDZLOxqZWr5dfflm1/sjrSAdh6aAtQ9ZLk88pAZK0NJV1v7kZjNeSQLRhkpOVXvIyv8HlmgevVW5urtoQBwwYAGdnZ7O+ti3Tul7Ss/MQ8fpS1XKz4MkuaHINLTfi1MKp2L1hIWY79sWXL4+Dk6ODzdeNtWK9VE7dSKdR+SUuE99J/wpbZupzI8f1y7Vk2DJJWcl8M3PmzLHZuundu7cK7D7++ONr2iav5vzNPjeke7JIpgQ2tYM80Tj02mctDe37NG7e2gznM3OxIzoZ7WsHmLWcRER6lJSUpFqNVqxYoVqRKoP+wluiy6Wkml9jSuoiRwcDujWoUjTTMRERXZmkraQvjvRdklRfZWDLDelaWlYuVh0+V+G1pK6ke4Mq2LN7G5L2ngD6NTJDCYmIrkxmDbZVJy4uM1GZGNyQrskimTl5BahTxRONQq5/Ib2eznswxHU8TqYGIy55FEL8yp8DgoiIKh/TUqRr8y6mpAZdZ0rKxLtBV+TCCeEO8dixs3DtFCJbZ2fjSsgOtkUGN6TrlNSaopRUxdeSKperF874RairmXvLn9uCyNqZRlvJHC9E1sA0s3HpGaKvFtNSpFvLDpxFTn4B6gV7oUHV/xbXu15ODfvJcruonrAWufkFcDbDkHAiLcgJRBZvlBl5hcyvYsn1fixJhjvLiVGGEutxKLg91E1BQQHOnTuntkOZ7+d6MLgh3TLXKKnSQtsNBjZPRgQOYNeRk2jXqLbZXpuosplWxTYFOLaczjAtTWCrAZqlGG2obiT4kskOr7ecDG5Il1IuSEoqwWyjpIpzCKqLsy41UTUnGqe2zUO7Rk+Y9fWJKpOcREJDQ9W6RzJBoK2SsssswDITLyfEtN26kTW/zNG6xOCGdGnZ/sKUVH2Vkrr+UVKlpdbshapHv4fXyRUAGNyQPlJU19vPQUtS9ry8PDWrrbWfwCubox3WDYMb0qX5kf+tJWUJwd0ewoMHArA2qxlWpVxAqC+HhBMRWQvr7VlEdI1SMnOx9sjFUVLNLRPc+NZogqRqNyEbLlh1qPC9iIjIOjC4Id1Zsj8OuflGNKzqjfoWSEmZdG8YrP6u4lIMRERWhWkp0p0FF1NSAyzUamPSM9wJjk6/o+nRU8jJXQYXZ9vtr0BEpCcMbkiHKSnLjJIqrXG1QNR3WgAX5GFn5Da0bnODRd+PiIgqhmkp0pXF++OQV2BU60jJ5H2W5ODug+OebdT18zv/seh7ERFRxTG4IV1O3DfIwq02Jjn1+qq/wWdkSDgREVkDBjekG+czcrD+aEKl9LcxCe94m/rbOO8gYs/EVMp7EhFR+RjckK5GSUlKqnGoD+pUsWxKysQ3pA6inOrA0WDEiY2zK+U9iYiofAxuSDfmVXJKyuRcWE/11+3Ywkp9XyIiKhuDG9KFpIwcbDiWWKkpKZPAdncgyeiF/eleSM/Oq9T3JiKiS3EoOOnC4n1xyC8wommYD2oHeVbqe9dp2h69Fv2IY4lZ8DpwFoNbVavU9yciopLYckO6mrjP0nPblMXg4ID+LaqXGK1FRETaYXBDNi8xPbsoJWWptaSupDCoMiLh8CakZWRqUgYiIirE4IZs3uJ9Z1VKqnk1X4QHVm5KykQmDVzs8Qr+dnoJu9cv0KQMRERkBcHNlClT0K5dO3h7eyM4OBhDhgzBoUOHrvi81atXIyIiAm5ubqhTpw6+/PLLSikvWaf5kWc0S0mZGAwG5AQ1VddzIudqVg4iItI4uJEg5fHHH8emTZuwdOlS5OXloU+fPsjIyLjsc6KiojBgwAB06dIFO3fuxIsvvognn3wSs2bNqtSyk3VISM/GRo1TUib+Eberv01S1yLtQo6mZSEismeajpZatGhRif9Pnz5dteBs374dXbt2LfM50kpTs2ZNTJs2Tf2/cePG2LZtG95//33cfnvhyYXsx6K9cSgwAi2q+6JGgIemZanWpi8yF7ojxJCElRuXo8dN/TUtDxGRvbKqoeApKSnqb0BAwGUfs3HjRtW6U1zfvn3x3XffITc3F87OziXuy87OVheT1NRU9VceKxdzMr2euV/X1lmyXubtPq3+9msabAX17oSYwE5omLgcGbvmILdLrys+g9sM6+VqcZthvdjrNpN7FeU3GI1GI6yAFGPw4ME4f/481q5de9nHNWjQACNHjlTpKJMNGzbgxhtvxJkzZxAaWjI1MWnSJEyePPmS1/n111/h4aHtL326Pqk5wCvbHWGEAa+0zkOgm/Y16hm3Ab1iv8SxglBsafE2PJwNWheJiEgXMjMzMWzYMNUQ4uPjYxstN2PGjMGePXuwbt26CnXeLM4Un5W+XUyYMAHjxo0r0XJTo0YN1fpzpcq5lqhS+g717t37khYke2apevllczSMOIgW1X3wv9s6wCpkdUbOB9+irkMsjvh7oWfXbuU+nNsM6+VqcZthvdjrNpN6MfNSEVYR3DzxxBOYO3cu1qxZg+rVCydDu5yQkBDExcWVuC0+Ph5OTk4IDAy85PGurq7qUpp8wZb6ki352rbM3PWyaH+8+ntzi2rWU9/OgVhe91l8vd8JXtFe6FfBcnGbYb1c9abG4wzrxc62GeerKLumo6WkxUVabP7++2+sWLECtWvXvuJzOnbsqCLQ4pYsWYK2bdva9JdGVyc+LQubo5LU9f7NQ6yq+sL7Po7NxsZYczQJKZm2neMmIrJFmgY3Mgz8559/Vv1fZK4baZGRy4ULF0qklYYPH170/9GjR+PkyZMq1XTgwAF8//33qjPx+PHjNfoUpNUoKclGtq7ph+r+1tV3ql6wt5rULzffiCX7S7YyEhGRzoObL774QnUM6t69u+oIbLrMnDmz6DGxsbGIjo4u+r+07ixYsACrVq1Cq1at8Prrr+Pjjz/mMHA7M+/iGk5az21zOSNqp2GS0wxkbvha66IQEdkdTfvcVGSg1owZMy65rVu3btixY4eFSkXW7mxqFraeKExJDbDS4Kan3xkEOy3BvoTDSM58GX4eLloXiYjIbnBtKbI5CyNjVUoqItwfYX7usEbBbW9DPhzQ1OEE1m/ZqnVxiIjsCoMbsjnzI2OtutVG8QzEGb+26mrarr+1Lg0RkV1hcEM2JS5FUlLn1fUBVjZKqjT3Vrepv42TVuJ8BteaIiKqLAxuyKYsuNhq0zbcH6G+1pmSMglqezsKYEBLh2NYt3W71sUhIrIbDG7IJoObgS2sOCVl4hWMWL826mr6zr+0Lg0Rkd1gcEM2IzblAradPA9ZZaN/MxsIbgC4tboTp42BOJSYh8T0/xZwJSIiy2FwQzZjQWThhHjtwgMQ4msFq2RWQGDnB/Bo4AzMyOuDxfvOal0cIiK7wOCGbMb8PWdsJyVl4uSCAS2rqavzIwvLT0RElsXghmzC6eQL2BGdfDElZd2jpEqTWZSdkIe84+uRwNQUEZHFMbghm5m4T7SvFYBgH9tISZnU8HHCFo+xmOnyGjZs2qh1cYiIdI/BDdnUWlKDbCklZeLkgnT/Jupqzm6OmiIisjQGN2T1YpIysSumMCXV18ZSUiZeEXeqvy1TViA+9b9V74mIyPwY3JDVW7i3sNXmhtoBCPa2rZSUSUCbW5ELJ9R3OI3Nm9ZpXRwiIl1jcENWb/7FIeADW4TBZrn54nRQZ3U1l6kpIiKLYnBDVp+S2h2TDAcD0K+pbaakTHza3a3+tk1fjvgUpqaIiCyFwQ3ZxHILHeoEooq3K2xZQOtbcMHghpqGc9iyYYXWxSEi0i0nrQtAVJ75trSW1JW4eGJjk1fw/g7A64Q/BmldHiIinWLLDVmt6MRM7DmVoouUlEmj3qOw31gLW6PPIy4lS+viEBHpEoMbsvpWm051gxDoZdspKZMwP3dEhPvDaPxvFBgREZkXgxuyWqa1mAY010FKqph7a2fgA+fPEbruJa2LQkSkS+xzQ1bpZGIG9p5OhaODAf1sdOK+y+kW7obATeuQkemKuITzWheHiEh32HJDVp6SCkSApwv0JLBRZ5x1DIGnIRuH1/6pdXGIiHSHwQ1ZpfkX15KSFbV1x2BAXM3CsVI+R+doXRoiIt1hcENWJyohA/vOFKak+upklFRp1boOV39bZW9HZkaa1sUhItIVBjdktRP33VgvCP46S0mZBNVuieNO9eBsyIdz7Gati0NEpCsMbsjqzLuYkhqkx5RUMQn1blN/m6St17ooRES6wuCGrMqxc+k4EJsKJwcD+jStCj2r02MEDhdUx7zcCByJS9W6OEREusHghqzKgoutNp3rB8HPQ58pKZOgqtXxXt0Z+Dx/CP7YUTinDxERXT8GN2Sda0npPCVlclfbaurvnF2xyM7L17o4RES6wOCGrMbR+HQcjEuDs6MBfZroc5RUaV3qBaGqSzY6Z6/BxvUrtS4OEZEuMLghqxsl1bleEHw9nGEPZLj72x6/4lOXT2DY/KXWxSEi0gUGN2R9E/e1CIM9yQzpoP5GZKxFdNw5rYtDRGTzGNyQVThyNg2HzhampHo30fcoqdLy/OrhrFMovAxZ2LP0J62LQ0Rk8xjckFV1JO5avwp83e0jJVXEYEDyxTlvqh7/G7n5BVqXiIjIpjG4IStLSdnHKKnSanQfhQIY0M4YiY3bt2tdHCIim8bghjR3+GwajsSnw8XRAb3sLCVl4hwYjpM+bdX18+t/0Lo4REQ2jcENWc1yC10bVIGPm52lpIrx7DBS/XVIOorYlAtaF4eIyGYxuCFNGY1GzN9TODvvIDtNSZkEt7sDY6t8iydyn8AfW09pXRwiIpvF4IY0JSOkjp3LgIuTA3o2Drbvb8PZDd07dVJX/9gWg/wCo9YlIiKySQxuyCrWkurWoAq87TglZdKvWYgaLZaZfBYbDpzUujhERDaJwQ1pmpKad3EIuL2npEzcnB3xafBcbHZ9HKdWfa91cYiIbBKDG9KMrCN1vCglZZ+jpMrSoE5tuBjy0ezsXJxLy9a6OERENofBDWk+t02PhlXg5erEb+Kiqp1HIBdOaO4QhdWrl7FeiIiuEoMb0m6UVKR9riV1RZ5BiA3tqa467/pJ1RUREVUcgxvSxP7YVEQlZMBVUlKN7HyUVBmqdH9E/e2RuwpbD3NYOBHR1WBwQ5qmpG5qFAxPpqQu4V6/BxJdwuBjuICjK7mYJhHR1WBwQxqnpDhKqkwODshu8T91tV7sXKRk5lbmV0REZNMY3FCl23cmFScTM+Hm7KBabqhsod1G4Su3B/BI9lOYvZOpKSKiimJwQ5XO1GojgY2HC0dJXY7BOwRuXZ/Eefjg960x7FhMRFRBDG5Ig7WkLqakmnOU1JUMaVVNdbqWOYF2xyRXwjdERGT7GNxQpdp7OhXRSZlwd3ZEj0ZVWPtX4OvhjOdqHcOfLpNweMnXrC8iogpgcEOVal5k4QrgNzVmSqqi+lRJQjuHw2gY8wfSs/Ms+O0QEekDgxvSJCU1qDlHSVVU9ZseUTMWtzQcxbo1nLGYiOhKGNxQpYk8nYpT5y/Aw8UR3RtylFRFGbyr4mRw4YzFDtu5mCYR0ZUwuKFKs2BvnPori2S6uziy5q9C0E2Pq7+dL6zCoRMxrDsionIwuKFKIcsjLdx7Vl0fyJTUVfNr2BVnXGrBw5CNY0u/Nf8XRESkIwxuqFKcTAfOpGTBU6WkOErqqhkMyGgxUl1tdPpPZOWwYzER0eUwuKFKsSvRoSgl5ebMlNS1qNtzFDY6tMEHObdj4d7CUWdERHQpBjdUKaOkdiYa1HWuJXXtHNx9sfXGrzG/oAN+23rabN8PEZHeaBrcrFmzBjfffDPCwsJgMBgwZ86cch+/atUq9bjSl4MHD1Zamenq7TqVguQcg0pJdWvAlNT1uLNtdTgYgC1RSTh2Lp2bIxGRtQU3GRkZaNmyJT799NOret6hQ4cQGxtbdKlfv77FykjXz9SRuGejYKakrlOorzturueCxxznIOrfd7l5EhGVQdNVC/v3768uVys4OBh+fn4Vemx2dra6mKSmpqq/ubm56mJOptcz9+vasoICIxZeHALeu3Eg68YM28yIsNNoE/MHzkd7Iz3labh6eEFvuC+xbrjNcH8q7WqOkza5JHPr1q2RlZWFJk2aYOLEiejRo8dlHztlyhRMnjz5ktuXLFkCDw8Pi5Rv6dKlFnldWxSVBsSlOsHN0YjsE7uwIHqX1kWySlezzRTk+yDEGIgwQyL+nP4mXGp3gV5xX2LdcJvh/mSSmZkJXQY3oaGh+PrrrxEREaFaY3766Sf07NlT9cXp2rVrmc+ZMGECxo0bV6LlpkaNGujTpw98fHzMHlXKwbh3795wdnY262vbqjcWSH+oaDT3N2JAX9aLubaZHek7EXb8Y7RKXYYafd+Eo6O+xgZwX2LdcJvh/lSaKfOiu+CmYcOG6mLSsWNHxMTE4P33379scOPq6qoupcmJxFIBiCVf29ZSUov2Ffa3aRVkZL2YcZtpdvMTyProC9QviMKmTUvRofsg6BH3JdYNtxnuTyZXc4y0+Z97HTp0wJEjR7QuBpVhe/R5nE3NhrebExr5GllHZuTpH4zDwQPU9byNX6jh9kREpJPgZufOnSpdRdbHtAJ4r0ZV4GTzW5r1qd5vrPrbIWsDdkVGal0cIiKroWlaKj09HUePHi36f1RUFHbt2oWAgADUrFlT9Zc5ffo0fvzxR3X/tGnTUKtWLTRt2hQ5OTn4+eefMWvWLHUh60tJLYgsDG76NwvBhWNc7NHcAuq0wWHv9tiT7IbNW6LRukULs78HEZEt0jS42bZtW4mRTqaOvyNGjMCMGTPUHDbR0dFF90tAM378eBXwuLu7qyBn/vz5GDCgsHmerMe2k+cRn1aYkrqxbiCWHdO6RPrkPPxvPDt1DYxHgQfj0tAwxFvrIhER2Xdw071793L7CkiAU9xzzz2nLmT95u8pXPuob9MQuDAnZTG1q3ijX9MQNZfQ12uO44O7WlruzYiIbAR7QpDZ5UtK6uLEfVxLyvIe7loHDQ3RaBz5DmLPc0kGIiIGN2R2W08k4VxaNnzdnXFj3SDWsIW1DvPAn25v4UHH+Vg/v7B/GhGRPWNwQxYbJdW3aVWmpCqDkyuSGt+rrtY+8gNSLnD5DyKybwxuyOwpqYV7C4ObgS3CWLuVJLzfU8iFEyIMB7F06XzWOxHZNQY3ZFaboxKRkJ4DPw9ndKobyNqtJAafUJyuPlBd9935JbLz8ln3RGS3GNyQZVJSTULgrLP1jqxdtQHPqr83FWzCsnUbtS4OEZFmePYhs8nLL8DifRwlpRXnsOaIDrwRjgYj8tZ/qiZSJCKyRwxuyGy2RCWplJS/hzM6MiWliaC+zyERvojMDMCyA4WLlhIR2RsGN2Q28y4ut9CvGVNSWvGo3w3T2/+Lb/MH4qs1xzUrBxGRlhjckNlSUotME/c15ygpzRgMGN65IVwcHbD95HlsO5GkXVmIiDTC4IbMYtPxJCRl5CDA0wUd6gSwVjUU7OOG21uHoq/DVmxdMJ3fBRHZHU3XliL9mB95pigl5cRRUpobG7IbVV0+xOmzgTgaOxL1Qjksn4jsB1tu6LrllkhJhbJGrUDVG4YixTEA1QyJ2DHvK62LQ0RUqRjc0HXbeCwR5zNzEejpghtqMyVlFZzdkNZ6tLra7tQPOJucoXWJiIgqDYMbMtvEfUxJWZfqvR9HmsEbtQ1x2DjvO62LQ0RUaRjc0HWnpBbv58R9VsnVC/FN7ldXmxz5BqkXcrQuERGRdQY3n3/+OXr16oW77roLK1asKHFfQkIC6tSpY87ykZXbcCwRyZm5CPKSlBQ7rVqb2gPGIQPuaGCIxoYFP2tdHCIi6wtuPv74Yzz77LNo1KgRXF1dMWDAAEyZMqXo/vz8fJw8edIS5SQrNX9P4Sip/s1C4ehg0Lo4VIqDpz+i6w7D7oI6mHMgjQtqEpFduKqh4F999RW++eYbDBs2TP3/sccew5AhQ3DhwgW89tprliojWamcPFlLqnCK/4EtOErKWtW58w10/WA9zqbl4J9dZ3BX2xpaF4mIyHpabqKiotCpU6ei/3fs2FGlpr7++mtMmDDBEuUjK7b+WAJSLuSiircr2tXiKClr5ermgVGdC9PFX685zgU1iUj3riq4CQoKQkxMTInbmjZtqgKc6dOnq5QV2d8oqf7NQpiSsnL33FATVV1z0SfxF+xYO1/r4hARWU9w07lzZ8yaNeuS25s0aYLly5dj0aJF5iwbWX1KihP32QofN2d8FLYEzznPhMe6KYDRqHWRiIisI7h54YUX0LJlyzLvkxaclStX4pVXXjFX2ciKrTt6DmlZeQj2dkVbpqRsQt1BzyLb6IwmuXuxZ92/WheHiMg6gps5c+Zg6NChl71fApxXX33VHOUiKzfvYkpqQHOOkrIVVarVxq7gweq6w+q3UZBfoHWRiIi0D24mT56M9PR0y5SEbEZ2Xj6WcpSUTWpw28uq9aZZ3j5sWjlH6+IQEWkf3BiZpycAaw8nIC07D1V9XBFR0591YkP8Q2vhYLXb1HXPDe8iJzdf6yIREWk/Q7HBwIna7N2CyP9SUg6cuM/mNLj9ZWTBBS0LDmDVgt+1Lg4RkbaT+ImePXvCyan8p+3YseN6ykRWLCs3H0v3F07cN4gT99kk98Aa2F/rHhw+dgTf7y5Ax7658HZz1rpYRETaBTd9+/aFl5eX+UpANmXtkcKUVIiPG1rXYErKVtW/70M8Pm0tohIy8M3aKIzr3UDrIhERaRfcyER9wcHB5isB2eRaUkxJ2TZnJ0c827chHvtlB75dexz3daiJYG83rYtFRFT5fW7Y38a+FU9JcS0p2yczS/cNy8Sbxo+x6q/PtS4OEZHZcLQUVdjqw+eQkZOPMF9JSfmx5myc/Fh5KfwAbnVcjxtOfInjcee1LhIRkTYLZ1apUsU870w2u5YUU1L6UbPfOKQ4+CHccBab//5I6+IQEVVun5tx48ZV+EWnTp16reUhK05JLTtQmJIawFFS+uHqhQsdx8F3/SvoeXY69hx/GC3qhGldKiKiygludu7cWaHHsV+OPq06FI/MnHxU83NnSkpnQno8isQtXyA4NxYrZr+N5uM+4n5MRPYR3MiimGS/5kdeXAG8RShPfHrj5AL0fBlY9BgGpv6BDZGP4cYWjbQuFRFR5c1QXNqpU6dw+vTp630ZsmIXcvKx/GJKamDzUK2LQxYQ2P4exHk0gLfhAk7Nfw/5BUbWMxHZV3BTUFCA1157Db6+vggPD0fNmjXh5+eH119/Xd1H+kxJVfd3R4vqvloXhyzBwQGeg6bgM9yJ11L6459d/MFCRHY0iZ946aWX8N133+Htt9/GjTfeqBbUXL9+PSZNmoSsrCy8+eab5i8paWbexbWkpNWGfar0y7tJLxi610LGokP4YMlhNSrOzdlR62IREVVOcPPDDz/g22+/xS233FJ0W8uWLVGtWjU89thjDG50JDMnDysOxKvrnLhP/+7vVBs/bDiBM8kZ+HPNLvyvZ4TWRSIiqpzgJikpCY0aXdrhUG6T+0g/Vh48hwu5+agR4I7m1ZiS0jt3F0e8eoMDqq1+BflrXZDaaS183F20LhYRkeX73EgrzaeffnrJ7XKb3Ef6MT+ycC2pgc3DmJKyE33aNEBDh1Nog4NYMfs7rYtDRFQ5LTfvvvsuBg4ciGXLlqFjx47qpLdhwwZER0dj4cKF1/KSZK0pqYOFKalBnLjPbjj5V8fJxg+i7oHP0frQh4hLuhchAT5aF4uIyLItN926dcOhQ4dw2223ITk5WaWi5Prhw4fRpUuXa3lJskIS2GTlFiA80ANNw3hysyd1hryI8w7+almGbX++o3VxiIgs33IjAgMDVYfiDh06FA3/3rZtm/pbvKMx2f5aUhwlZX8Mrt5I7vA8/De8gC5nvsfxk4+gTnhNrYtFRGS54GbRokUYPnw4EhMT1TDw4iRFlZ+ffy0vS1YkI/u/lBRHSdmn2r0eRvS2b1Az5xh2zXoRdcb9rHWRiIgsl5YaM2YM7rzzTpw5c0a12hS/MLDRh+UH45GdV4BagR5oEsqUlF1ycIShf2FKyjv5ALZHFQa7RES6DG7i4+PVKuFVq1Y1f4nIKszfc3GUFNeSsms1WvfGV7U+wu05k/D24qOXtNQSEekmuLnjjjuwatUq85eGrEJ6dh5WHjpXNASc7Nsttw6Fi5MTtp44j7m7C4NeIiLd9bmR+WwkLbV27Vo0b94czs7OJe5/8sknzVU+0oAskpmTV4A6QZ5oHOrN78DOhfq647Hu9fDVsj2ImfsGkmtPgZ+vn9bFIiIyb3Dz66+/YvHixXB3d1ctOMXXG5LrDG5s2zzTKCmmpOii0d3roOfG+9As/yCW/eyMXo9/zLohIn2lpSZOnKhWBU9JScGJEycQFRVVdDl+/Lj5S0mVJi0rF6sPX0xJceI+usjVyRFuXQpbZLvE/4KdOwunfSAi0k1wk5OTg6FDh8LB4ZqeTlZs+YF4lZKqW8UTDasyJUX/qddtGA57tYerIQ+588YjKyeP1UNEVumaopMRI0Zg5syZ5i8NWVFKimtJUSkGA0Lv+QQ5cEL7/J1YMutbVhER6afPjcxlI+tLSb+bFi1aXNKheOrUqeYqH1Wi1KxcrLmYkuJaUlQW72qNcKTRQ6h/8Au0Pfgujp66FfWqc0oIItJBcBMZGYnWrVur63v37i1xX/HOxWRblu0/i5z8AtQL9kIDpqToMurd9jLOvTsbYXlx+Ou3V1DnmS/h4MD9nohsPLhZuXKl+UtCVrWWFNHlGFw84dD/HSyZ+xneS+yM7K3RuPeGcFYYEVkN9ggmJeVCLtYc4SgpqpjAiCE41ftrnEUA3l5wEGdTs1h1RGQ1NA1u1qxZg5tvvhlhYYWdV+fMmXPF56xevRoRERFwc3NDnTp18OWXX1ZKWfVu6f6zyM03okFVpqSoYkZ0qoUW1X2Rlp2HD2evYbURkdXQNLjJyMhAy5Yt1YzHFSHz6AwYMABdunTBzp078eKLL6oJA2fNmmXxsurdgkhTSorLLVDFODoY8M6g2vjY+VO8eHwEVm+PZNURke32uTGX/v37q0tFSStNzZo1MW3aNPX/xo0bY9u2bXj//fdx++23W7Ck+paSmYu1RSmpEK2LQzakcc0Q+PokwycjE3nzn0N6s3/h5arpYYWISNvg5mpt3LgRffr0KXFb37598d133yE3N/eSIekiOztbXUxSU1PVX3m8XMzJ9Hrmfl1LWxh5WqWkGlb1Qri/G+ulEtnqNlOcz+2fIO/H3uhZsAG/zPwGd93z4HW/ph7qxVJYN6wXe91mcq+i/DYV3MTFxaFq1ZJzasj/8/LykJCQgNDQS0f5TJkyBZMnT77k9iVLlsDDw8Mi5Vy6dClsyQ8HJDvpgLouKViwYIHF3sfW6qUy2XrdVPXthw4pC9Dz2Dv47ldfhPp5muV1bb1eLIl1w3qxt20mMzNTn8FNWfPoGI3GMm83mTBhAsaNG1ei5aZGjRqqBcjHx8fsUaVsPL179y6zFckaJWfm4pnNq6Qm8dStXVGninlOSrZeL5VFN3WT2wPxH3ZESO4phJ+ejW5Df4az47V36dNNvVgA64b1Yq/bTOrFzIvugpuQkBDVelNcfHw8nJycEBgYWOZzXF1d1aU0+YIt9SVb8rXNbeXhOOQVGNEoxBsNw/ws+l62VC+VzebrxtkZLrd9BswcjP45S/Dvwlm4+dZhZnhZG68XC2LdsF7sbZtxvoqy29Q8Nx07drykWU3SS23btrXpL0xL8y6OkuJyC3S9/Bp3x9HwuxFn9MfsHTE4mZjBSiUiTWga3KSnp2PXrl3qYhrqLdejo6OLUkrDhw8vevzo0aNx8uRJlWY6cOAAvv/+e9WZePz48Zp9Blt2PiMH648mqOsDOCsxmUHdYe/jpdBvsSK3GSbO2VuUNiYispvgRoZxyxpVpnWqJGiR66+88or6f2xsbFGgI2rXrq06vK5atQqtWrXC66+/jo8//pjDwK/Rkv1xyC8wokmoD+pU8TLHV0p2zuDqjZdu7wAXJwesPZKAf3ae0rpIRGSHNO1z071793J/2c2YMeOS27p164YdO3ZYuGT2YZ5pLakWXEuKzEcC5Sd71EXU8u/QeO6LOF97Jfz9A1jFRFRpbKrPDZlPUkYONhxLVNe5UCaZ28OdwvCs699oiBM4+OOTrGAiqlQMbuzU4n2FKalm1XxQK8j8w7/Jvrm4eyGl70fqesfz/2LXyj+1LhIR2REGN3ZqviklxbWkyEIadhiATVXuUtfDVj+LuLNnWNdEVCkY3NihxPRsbDhWOEqKKSmypFb3T8Uph2oIxnlETX8YeXn5rHAisjgGN3Zo0b44FBiB5tV8UTPQMktQEAk3D28Ybv8WuUZHdMxai6UzP2bFEJHFMbix55QUR0lRJajWtBOONnkcBUYDDh3Ygw0X51YiIrIUBjd2JiE9G5uOc5QUVa7Gd07C53W/wLS8O/DUzF1qOyQishQGN3Zm0d7ClFTL6r6oEcCUFFUSB0c8cPddqB/shXNp2Xj6950okA2RiMgCGNzYGaakSCvuLo747N42qOd8Dk9FP4F/5s7il0FEFsHgxo7Ep2Vhc1RhSoprSZEWGlT1xle116Ktw2HcsPM57Dp8nF8EEZkdgxs7svhiSqpVDT9U92dKirRRZ9iHiHeuhjBDIlJ+fwTJGex/Q0TmxeDGDteSGsRRUqQhg5sPPO/9AblwQreCLZj//etcPZyIzIrBjZ2IT83ClhNJ6nr/5lwok7TlWasdEjq8qK7fkfAF/l20kF8JEZkNgxs7sXBvHGQB9tY1/VDNz13r4hAhtO84RAd1g6shD603PYV9x6JZK0RkFgxu7G4tKbbakJUwGFBj1A9IcArBeaMnXv1rE9KycrUuFRHpAIMbOxCXkoWtJwtTUhwlRdbE4OEP1/v/xZPu72DbeU+8OHsv+98Q0XVjcGMHFu6NVSmpiHB/hDElRVbGu1oDfDCsPRwdDPh39xn8vWG/1kUiIhvH4MYOMCVF1k4C7+f61MM4pz/QZclAHD9+VOsiEZENY3BjBympbSfPq+tMSZE1e6hDGG5134Vgw3nkzhyJ3Nw8rYtERDaKwY3OLYgs7EjcrpY/QnzdtC4O0WU5uHnBc/jvSIMHmhUchPehX1lbRHRNGNzo3PyLwQ1HSZEtCKjRGKd6fIwCowF9c5dh6z+fal0kIrJBDG507EzyBWw/eV5G3HLiPrIZjbvdic01H1LXIyLfwI4NS7QuEhHZGAY39pCSCg9AVR+mpMh2RNz3OjY7tlUT/NVY/BAOnjitdZGIyIYwuLGHlBTXkiIbY3BwRGzjh3HUuQHezB2Gkb8eVJ3jiYgqgsGNTp06n4md0cmFKalmIVoXh+iqGZzd4DdmJfYG9UNcahbun7EV6dkcQUVEV8bgRqcWRsapv+1rBSCYKSmyUb4erpg+sh2CvFyREBuN3796C3n5BVoXi4isHIMbnZp3MSU1iCkpsnE1Ajww4576+Mf1FTyY9AFmzfiQSzQQUbkY3OhQTFImdsckw8EA9GVKinSgWd1w5DQaoq4PiX4L/8ydpXWRiMiKMbjR8SipG2oHItibo6RIH2oNfQ8ngnuqEVRddzyFFRs2aV0kIrJSDG50HNxwlBTpioMDaj34M057NEaAIR21F4/AroNHtC4VEVkhBjd6TEmdSlEpqX5MSZHeuHggZPQcJDhVRW1DHBx+vwcnYs9pXSoisjIMbnQ6t02HOoFqhAmR3jj6hMBr1D9IM3jBvSAT439cjaSMHK2LRURWhMGNzszfw5QU6Z9bWGPk3TsbT3pMwbbz7njox23Iys3XulhEZCUY3OjIycQMRJ6+mJJqyon7SN/867XHJ6Nugo+bk1pD7f2f56CgwKh1sYjICjC40WFKqlPdIAQyJUV2oF6wN776X1sMd16GF088gBU/TNa6SERkBRjc6AhTUmSPOtYNxNCmXnAwGNHr5IdY//dnWheJiDTG4EYnohIysO9MKhwdDOjLlBTZmaZDX8POsHvU9Rt2T8T2Jb9qXSQi0hCDG53NbdOpbiACPF20Lg5R5TIY0OrBz7Ddty+cDAVovv4JbFn2F78FIjvF4EYn5l0cJcW1pMheGRwc0XLMz9jt1QUuhjw0X/soNqyYq3WxiEgDDG504Pi5dByITYWTgwF9mnCUFNkvJ2cXNHvyLxzwbA93Qw62rpiNf3ad1rpYRFTJnCr7DcmCKal6QfBnSorsnKOLGxo8+Q9+//ETfHisKRxm7kJ+gRG3tamuddGIqJKw5UZPKanmoVoXhcgqOLp64K4HnsM97cMhU9+89OcWLFq5SutiEVElYcuNjTsan46DcWmFKammVbUuDpHVcHAw4M0hzeCObPTc+SSarjqBxXnfo2/vfloXjYgsjC03OklJda4fBD8PjpIiKh3gvDygAWr6GOBnyMAN60Zh4ZKFrCQinWNwo5eJ+5iSIiqTwc0H1Z9YgFOezVSAc+P6UViw8B/WFpGOMbixYUfOpuHQ2TQ4O3KUFFF5DG6+qPbEQkR7t4KPIRNdNz2M+f9yHhwivWJwo4O1pLrUrwJfD2eti0Nk9S04NcbMxwmfdvAyZOGmbY9i/hzOZEykRwxubBhTUkRXx+DqhfAxc3Hc70bkwgmfbk7GF6uOsRqJdIajpWzU4bNpOBKfDhdHB/RqwlFSRBVlcPFAnTFz8PP85TiwsQAHFh1EfkEBxtxUn5VIpBNsubHxuW261A+CrztTUkRXxckF9w3uj/F9Gqj/rlo6F6t/mMRKJNIJttzYIKPRWDQEfGALTtxHdK2ktcYnLxFD1r8Pn6hMbPwiDu0f/gyOjo6sVCIbxpYbG3T4bLqavI8pKaLrN7xPBxys/5C63vHsb9gy9Q6kZ2ayaolsGIMbGzR/zxn1t2uDKvBxY0qK6Hq1v+817Gr7DnKNjuiYsQJHpvbD6bizrFgiG8XgxgZTUvMupqQGMSVFZDatBo1GTL/pyIQbWuftRuaXvbBn317WMJENYnBjY2QdqePnMuDi5ICejYO1Lg6RrtTpOBgZw/5BksEP9RGNnb+/jjk7T2tdLCK6SgxubHRum+4NqsCbKSkis6vSoAPcH1uFNd4D8WbuPRg7cxc+WHIIBbK8OBHZBAY3NpaSMs1KzFFSRJbjXqU2Oj/9Cx7o3kj9/7MVh/Ht19NwITuP1U5kAxjc2JD9samISsiAq0pJceI+IkuvKP58v0Z4/86WeN75DzwcNwnrpw7F2aQUVjyRlWNwY4spqYZV4OXKKYqIKsMdEdXRr2Mr5MOAXtnLEPdJHxw4cpSVT2TFNA9uPv/8c9SuXRtubm6IiIjA2rVrL/vYVatWwWAwXHI5ePAg7GvivjCti0NkV8IHPIPEwb8iHZ5oaTwI/597Y+OaJVoXi4isMbiZOXMmxo4di5deegk7d+5Ely5d0L9/f0RHR5f7vEOHDiE2NrboUr++/teE2XcmFScSMwtTUo04SoqosgW3HgA8tAxnnGogxJCENsvvwYrfPlA/PIjIumia25g6dSoeeOABPPjgg+r/06ZNw+LFi/HFF19gypQpl31ecHAw/Pz8KvQe2dnZ6mKSmpqq/ubm5qqLOZlez9yvK/7dVTgctXuDILg4GC3yHpZiyXqxdawb26oX1+D68H9iFQ58NxKNU9ei48G3MfnnZhh/R3f1w8Oe60ZrrBf9103uVZTfYNToZ0dOTg48PDzw559/4tZbby26/amnnsKuXbuwevXqMtNSPXr0QK1atZCVlYUmTZpg4sSJ6rbLmTRpEiZPnnzJ7b/++qt6f1sg39DrOx2RmG3AyPr5aB3EX4pE2u6UBXA9+i8WJVXFnILOqOFpxPD6+Qh25/dCZCmZmZkYNmwYUlJS4OPjY50tNwkJCcjPz0fVqiVH/cj/4+LiynxOaGgovv76a9U3R1pjfvrpJ/Ts2VMFPV27di3zORMmTMC4ceNKtNzUqFEDffr0uWLlXEtUuXTpUvTu3RvOzuZbFmHv6VQkbtoEN2cHPH33TfBwsa3OxJaqFz1g3dhyvQyC69FErPpjD2IycrFiXxQeaR+ATn3vVn0B7btuKh/rRf91k3ox81IRmp8lSx8EpCHpcgeGhg0bqotJx44dERMTg/fff/+ywY2rq6u6lCZfsKW+ZHO/9qID8epvz0ZV4etpuz8NLVnnto51Y5v10qNxCBaN9cOrv63CpNiPELo9CUuOr8cNoz6Er7eHXdeNVlgv+q2bqym7Zh2Kg4KC4OjoeEkrTXx8/CWtOeXp0KEDjhw5Al1P3HdxCDgn7iOyPiG+bvhiVHckVu+l/t/n/O+IntoNO/fs1rpoRHZLs+DGxcVFpZekqaw4+X+nTp0q/DoyykrSVXq151QKTp2/AHdnR/RoyFFSRNbIwcUNzR76Bid6fqGGizc3HkadWf3wz6+fITe/QOviEdkdTdNS0hfmf//7H9q2batSTNKfRoaBjx49uqi/zOnTp/Hjjz8WjaaSzsRNmzZVHZJ//vlnzJo1S130yjS3zU2Ng+Hu4qh1cYioHLW6DENmgw44OeNehF/Yj8GHX8Sy91ai/qhvER5csRGeRGTjwc3QoUORmJiI1157Tc1X06xZMyxYsADh4eHqfrmt+Jw3EtCMHz9eBTzu7u4qyJk/fz4GDBgAvaak5l1MSQ1qrt/WKSI98ahaB+Hj1+DoHy+hzqGvkZWRhgGfbsRrg5vjtjbVLNrZmIispEPxY489pi5lmTFjRon/P/fcc+piL3afSsHp5AvwcHFEd6akiGyHozPq3fMuzu3rj1lrcpFxMhfP/Lkbmw9EYeKtEfDxtI1pKIhslebLL9Dlzd9zRv2VRTKZkiKyPVWa9sC3j/TG+D4N4OgA9Dg0GbHv34h9uzZpXTQiXWNwYwujpJiSIrJZjg4GjLmpPubcF45OjgfQ0Hgc9WYPwroZLyEvN0fr4hHpEoMbK7UzJhlnUrLgqVJSVbQuDhFdp+ZNmsFxzCbs9+wAV0MuOp/4FMffvhGH9mxm3RKZGYMbK2VqtenVpCrcnDlKikgPvIJqoMn4RdjR+k2kwhMN8g+j9qz+WP7lOKSkZ2hdPCLdYHBjhQoKjEVDwAcwJUWkLwYD2gweg5xHNmCvVye4GPLR4MxcDPxwJebsPM1VxonMgMGNFdoZcx6xF1NS3RowJUWkR0GhtdDsmQU41Hkapnk+gVMZBoyduQv3fbMBx2NOa108IpvG4MYKzd9TuCRFb6akiPTNYEDDXvfjrWfG4Nm+DeHq5IDaJ/+Ez7cdMP/nD3EhO0/rEhLZJAY3VpySGtgiTOviEFElcHVyxOM96mHZ010x0msTggypGHh0Eg680w2bNq/nd0B0lRjcWJkd0ecRl5oFb1cndKkfpHVxiKgS1Qj0RN1nV+Nws3HIggvaFOxFxIKbsezDUYg9e5bfBVEFMbixMqblFpiSIrJPBidXNLjjVRQ8uhmH/brC2ZCPXimz4Px5Oyz4+0cuxElUAQxurDYlxbWkiOx9jaoGY/9FzMBfcNqxOvyRio+3ZmDI55twJIXrUxFZ9dpS9J9tJ88jPi0b3m5O6MyUFBFJqqrdIBhb98aapXMQvy0ASfHpOBzvCJ/P3kLXnoPQqHkE64moFLbcWOFaUn2ahKgOhkREplRVt/5DsXxcN9x3Qw3UdziNUeenod5fvbDqg/tw9PgxVhRRMQxurES+pKT2Fg4BH9giROviEJEV8vd0wauDGuPhxsAh7xvgZChA97R/EfpDRyz+9ElExxYeQ4jsHYMbK7HtRBLOmVJS9ThxHxFdnotPVTR46l+cGvwnTrg2hKchG30TfoD3lxFY+NUExCWeZ/WRXWNwYyXmX+xI3LdpCFyc+LUQ0ZVVb90HtV7YjJM9v8AZpxrwN6TjxjPTccuHy/Dm/P1IyuCq42Sf2KHYWlJSkaaUFEdJEdFVMBgQ3mUY0OkuHFv+HZbvjUZ8vAe+WRuF37ZE451Gx9D15hHw9vJitZLdYHBjBbZEJSEhPRu+7s64sS4n7iOia+DohLp9HkGd3kbUP3wO7y8+hMC4tRh46B2cPfQ+9tR/ABG3PgU3D29WL+ke8x9WYH5k4Sipvk2rMiVFRNfFYDCgR8Ng/DumM57qWh3nDIGoiiTceOQ9ZLzbFGunT0RiYgJrmXSNwY3G8vILsKholBTXkiIi83BwMCCi33D4v7AP25u/gjOGYAQiBV1OfgLnj5tj5WeP4ejpeFY36RKDG6tISeXAz8MZneoGal0cItIZJ1d3RNz+DIIn7MWuiCmIcawBH0Mmws6uRu9PNmPE91uw7kgCjEaj1kUlMhv2udHYPNMoqSYhcHZkrElEluHk4opWNz8G48BHcHTdn1h84DxwwgGrD5/DlsMx+MJ7OhAxEh17DoGrM08NZNu4BWucklpclJLiKCkisjyDgyPqdb0bT3YFBidmYPr6E3DY9i26564FNq3FkU2TEVN/OFoPfBj+fr78SsgmsalAQ5ujkpCYkQN/D2d0ZEqKiCpZeKAnJt3SFE8/Mhp7q92JC3BFfUTjpiNvAB82xZrPH0X0sf38XsjmMLjR0Lw9hSmpfs2YkiIi7XhXa4hmD30Lp2cPYW/TZxHnUBX+hjR0jf8VoT92xhPfLsbCyFjk5BXwayKbwLSUpqOkCoObgc05SoqItOfs6Y9md06EMf8FHFw7C3mbv0ZsegH+PZqHf4/uQICnCybWiESzTgPRoEFDrYtLdFkMbjSy8XgizmfmqoNFhzoBWhWDiOgSBkcnNOo+FOg+FJ5nk/HYzjjM2nEKjqmnMSTqNRijXsNWlwhkNL0HrXreDT9vzn5M1oXBjUbmF0tJOXGUFBFZqdpV/fBcPz+M690AO7asxbE1zVH/wh60y90G7NqGxJ2TscK/D3w7Dkerdl3h6GDQushEDG60kCspqX2Fo6QGNecoKSKyfvIjrH3HbkDHtUiO2Y/oZV+jevQcBOI8bkr+C1j4FyYsfRZB7e/EHRHVVWdlIq2w5UYDG44lIjkzF0FeLmhfmykpIrItfjWawO/+aTDmv4eTm+cifctPqJ68BXPTGyFjxVF8suIongjZjy7hbmjQ/R74+XPNPKpcDG40MH+PaS0ppqSIyHYZHJ0R3ul2oNPtyLqQgbcPp+DP7aew9sg59Ev6CU2TTyJ712Rs9WiP7IZD0KjrHQgK4A86sjwGNxqkpBbvO6uuc+I+ItILN3dP3NxSLmE4k5SOk3MHIDr6X9QsOIV2F9YDu9Yjc+dEbHJvh8xGt6NJj2EI8XXTutikUwxuKtn6owlIuVCYkrqhNteSIiL9CQvwQtjItwHjFJw6tA1nN/yCsFMLEVoQhw5Z6/Dv9jx02FQVbWr6YUCzEPSr547qYZwSg8yHwY1Go6T6NwvlqAIi0jeDAdUbtVMXGD9E3KHNiNv4O3ak1APigB3RyUiPicRIlwnY7dwcqeG9EN7pDtSs20TrkpONY3BTiWR2z8UXR0kxJUVEdsVgQEijDurSCsAjKVnqeJi3eT2cUgrQMm83cEwuHyDKIRxngrvCq/lANGx7E9xcXbUuPdkYBjeVnJJKzcpDFW9XtKvFTnVEZL+kv82ITrWATm8h6dRwRK37C+5RS9AgKxK1C06idtxPQNxPGLXoRRTU6YGu9auga/1A1A32hsHAuXSofAxuNFhLSnLMnOiKiKhQQPVGCLh7IoCJSEk8i6Mb/4HhyGKEpuzCutyGyDl0DqsOncNLTj8j3/kgYoM6wr1RbzRq3xu+nB2ZysDgppJk5+VjyX5TSood54iIyuIbWBURgx4G8DCMBQWYG5+ONYfPYc3hBPSI2Y16xtNoeO44cO4XXFjjgl2uzZAediP8m/ZEQYGRlUoKg5tKsu5IAtKy8hDs7Yq24f6V9bZERDbL4OCARiE+6vJw17rITFqK/VsWIOfwctQ4v0nNjtwqZwdwYgdORf2Gl/KmYW7yDtxQJwidgi6gUYNGcHHmac4e8Vuv5FFSA5qHwoFrrxARXTWPgGpo0u8hQC5GI+KO7sTpHYvgfHI19mT4IzPfASsPJWD1oXjsdH0YmTBgt1tzZITeAN8GXVG/1Y3w8nBnzdsBBjeVlJJaup8T9xERmXX0Vf026gK8iPpZ2Uj6axFcqzdB9LEDcI4pgAey0C57E3BCLh8hc7Erdjs3xPHqg+EWcS/a1gpQAzxIfxjcVIK1hxOQlp2Hqj6uiKjJlBQRkSUW9gz3BgbcWAvO3evDmNcPMQc2I2HfCric2oga6ZHwMaSjZd4erDpaDx8e3KGe1zogFxNcZqKgWlv41++IWk0i4OrCgMfWMbipBPMjmZIiIqpMBicX1GjeRV2UggKcOxGJM3tWwCmrNhrFeePQ2TQEJu9Be5cFQPICYB+QOdsV+5zrIsmvORyqRSCw2U2oU7suXJwc+AXaEAY3FpaV+19KalCLUEu/HRERlcXBAVXqtFSXlgAeB9RSOAf3+GPjniT4JOxCePZBeBkuoGnefiBBLjPx9NZHMd/QDY1DvdGtSho6up5AlQY3ILx+czg7O7OurRSDGwuTIYzp2XkI9XVD6xpMSRERWQtfd2fccEMnQC4AjAX5iIuKxNkDG5Efsw2+5yNxHA2Rk1WA3adS0DZ2ATo6/wzsAjKNrjjuXAvnfRqhILgpvMNbIbTRDQjy99P6YxGDG8tjSoqIyDYYHBwRUreVupjMMRoRk3QBe04nw7jrIA7HNEb1nOPwMGSjYd4hIEku/wAHgcFzX8NpzyZoUNUbPbyi0dT9PPxqtUDN+i3g5emp6WezN2y5sXBKahlHSRER2SxZ6qFmoIe6oMUzAJ5BQV4eYo7vxdkjW5F/OhIe5/ejatZxHEF1ZKbnICE9Ef2c/kAnp6WqlSfP6ICTDqFIcK+NbL96cAlpBNfmgxEeWgU+bkxtWQKDGwuS6cIzcvIRplJSbKokItIDBycn1GjQSl2K25aTh6Px6TgYlwb/XY1xOP40wnJOwMuQiXDjaYRnngYy1wFngBYbApAKLwR5ueJhj5Vo6nQaBQH14R7SAAE1myAsvD7cXF00+4y2jsGNBS0oNkqKC70REembh4sTWlT3Uxe0fR3A62qyweSz0Yg9uhPpMXuBhENAejxcnQOBtGwkpGejYfYa3Oi4B0gCcLTwtXKMjjjpEIIk1+r4p8HbqBnsj9pBngh3z0JY1Spwc+NkhOVhcGPJlNQBTtxHRGTXDAb4hYSrCzCk6OatANKycnEiIRMXdo/CtjM74JwSBb8L0QjJPwNXQ65q7fG5kIIZW+SHcuGP5enO76CWwx7EGQKR4ByKNPfqyPepDoeA2vAIrg3fhl0R5u8OVydH2DMGNxay6lA8MnPyUc3PHa2YkiIiolK83ZzRvLovUP1+AHIpZMzPQ1LcCZw7eQAJiefwqHNdRJ3LwInEDISeT4aDwYgQJCAkNwHIjQRSAZwCko2eaDXvG/UaMmnsBKffUM0pFbleYcjLMGDPqgvwDa2DgNDa8A8I0nVGgcGNhcy7uJbUwBZMSRERUcUZHJ0QUK2eujQEcGOx+4wFu5CccAYJp44gPfYIchOi4JAaDfeM00jJc4Z7gSMu5ObjbGo2mrpsRH2H04XBj1g/veh1YoxVcK/nNwjxcUOIrxv65CxDgGsBXPyrwSuoOvxDaiIwuDqcnG2z3w+DGwu4kJOP5Qfi1fWBzTlxHxERmW+ldL/g6uoC9Ljk/v1GI5IycnDq/AWk7n0Om84dA1Ki4XD+BIIMKQjIPwc/pCPN6IHopEx1EU+4TC8MhIopMBqQYPBFtFMtfBj6Lqp4uaq1uNpmroOvuyPc/ELhFRgGv6BQ+PkHwcHRemZxZnBjAasOn1ORc3V/d7SQJkciIqJKIKmmQC9XdUGNkeq23NxcLFiwAK0HDFCzKudkpsE34Rz+KvBDbEoWzqZm4dy+HshMi4Jndjx88pIQYDwPJ0MBgpCM+JzzWHskoeg97nSZinoOZ0q8b7bRGecNvjjlHI5PQt9GmJ8bptzWQrPvnMGNBSzc+19HYj3nNImIyPa4eHijWk1vVCt+Y5fPSjxG5vJJSIhFanwMsjIu4AOXhjiXno1zMsLrSEvkX/CHV14SfAuS4YULqgO09ANKyvbE6sPnVLpLSwxuzCw7H1h5+Jy6Pqh5mLlfnoiIqFLm8gkKqaEuok2Je38v8b/crAwkx59GalIcLmRk4V3XxoBR2y+JwY2Z7T9vQFZuAWoEuKNZNR9zvzwREZFVcXbzRJWaDdRFRFhDcKZ1AfRmV2JhGmpg8zCmpIiIiOwxuPn8889Ru3ZtuLm5ISIiAmvXri338atXr1aPk8fXqVMHX375JaxFRnYe9iUXBjeDWnCUFBERkd0FNzNnzsTYsWPx0ksvYefOnejSpQv69++P6OjoMh8fFRWFAQMGqMfJ41988UU8+eSTmDVrFqzBqsMJyC0woGaAO5qGMSVFRERkd8HN1KlT8cADD+DBBx9E48aNMW3aNNSoUQNffPFFmY+XVpqaNWuqx8nj5XmjRo3C+++/D2uwYG+c+jugWQhTUkRERPbWoTgnJwfbt2/HCy+8UOL2Pn36YMOGDWU+Z+PGjer+4vr27YvvvvtOjeOX8fulZWdnq4tJamrhVI3yeLmYS3p2HlYfLpwHoHejQLO+tq0z1QXrhHXDbYb7E48zPAZfq6s5h2gW3CQkJCA/Px9Vq1Ytcbv8Py6usAWkNLm9rMfnqfH4CQgNvbSfy5QpUzB58uRLbl+yZAk8PDxgLqczAE9HR/g4ATF7NuFUpNleWjeWLl2qdRGsFuuG9cJthvsSjzPly8wsnE3ZJoaCl57kzmg0lpvSKevxZd1uMmHCBIwbN65Ey42kvqQFyMfHvP1iRuTkYNaCZejTp3eZrUj2SqJtOXn37s16Yd1wm+H+xOMMj8HXxpR5sergJigoCI6Ojpe00sTHx1/SOmMSEhJS5uOdnJwQGBhY5nNcXV3VpTQJPiwRgPi6WO61bR3rhXXDbYb7E48zPAZfq6s5r2rWodjFxUUN6S7dHC//79SpU5nP6dix4yWPl/RS27ZtGUwQERGR9qOlJF307bff4vvvv8eBAwfw9NNPq2Hgo0ePLkopDR8+vOjxcvvJkyfV8+Tx8jzpTDx+/HgNPwURERFZE0373AwdOhSJiYl47bXXEBsbi2bNmqmVS8PDw9X9clvxOW9ksj+5X4Kgzz77DGFhYfj4449x++23a/gpiIiIyJpo3qH4scceU5eyzJgx45LbunXrhh07dlRCyYiIiMgWab78AhEREZE5MbghIiIiXWFwQ0RERLrC4IaIiIh0hcENERER6QqDGyIiItIVBjdERESkKwxuiIiISFcY3BAREZGuaD5DcWUzGo1XvXR6ReXm5iIzM1O9NlcFZ71wm+G+ZAk8zrBe7HWbSb143jadx8tjd8FNWlqa+lujRg2ti0JERETXcB739fUt9zEGY0VCIB0pKCjAmTNn4O3tDYPBYPaoUoKmmJgY+Pj4mPW1bRnrhXXDbYb7E48zPAZfLwlXJLCRRbMdHMrvVWN3LTdSIdWrV7foe0hgw+CG9cJthvsSjzOVj8dffdfNlVpsTNihmIiIiHSFwQ0RERHpCoMbM3J1dcWrr76q/hLrhdsM9yVL4HGG9cJt5srsrkMxERER6RtbboiIiEhXGNwQERGRrjC4ISIiIl1hcENERES6wuDGTD7//HPUrl0bbm5uiIiIwNq1a2HvJk2apGaBLn4JCQmBPVqzZg1uvvlmNbOm1MOcOXNK3C/9+qW+5H53d3d0794d+/btg73Xy8iRIy/Zhjp06AC9mzJlCtq1a6dmUg8ODsaQIUNw6NAh2Ps2U5F6sddt5osvvkCLFi2KJurr2LEjFi5caLfbC4MbM5g5cybGjh2Ll156CTt37kSXLl3Qv39/REdHw941bdoUsbGxRZfIyEjYo4yMDLRs2RKffvppmfe/++67mDp1qrp/69atKgjs3bt30Vpo9lovol+/fiW2oQULFkDvVq9ejccffxybNm3C0qVLkZeXhz59+qj6sudtpiL1Yq/bjMy8//bbb2Pbtm3qctNNN2Hw4MFFAYzdbS8yFJyuT/v27Y2jR48ucVujRo2ML7zwgl1X7auvvmps2bKl1sWwOrLbzZ49u+j/BQUFxpCQEOPbb79ddFtWVpbR19fX+OWXXxrttV7EiBEjjIMHDzbau/j4eFU/q1evVv/nNlN2vQhuM//x9/c3fvvtt3a5vbDl5jrl5ORg+/bt6tdDcfL/DRs2wN4dOXJENYNKyu7uu+/G8ePHtS6S1YmKikJcXFyJbUgmauvWrRu3IQCrVq1SKYgGDRrgoYceQnx8POxNSkqK+hsQEKD+cpspu15M7H2byc/Px++//65atCQ9ZY/bC4Ob65SQkKA2pKpVq5a4Xf4vG5M9u+GGG/Djjz9i8eLF+Oabb1R9dOrUCYmJiVoXzaqYthNuQ5eS9O4vv/yCFStW4IMPPlDN6dLcnp2dDXshjVrjxo1D586d0axZM3Ubt5my68XetxlJ+3t5eanAZfTo0Zg9ezaaNGlil9uL3a0KbinSaa30jlf6NnsjBxmT5s2bq18QdevWxQ8//KAOSlQSt6FLDR06tOi6nMDatm2L8PBwzJ8/H7fddptdbEJjxozBnj17sG7dukvus+dt5nL1Ys/bTMOGDbFr1y4kJydj1qxZGDFihOqnZI/bC1turlNQUBAcHR0viX6lGbR0lGzvPD09VZAjqSr6j2kEGbehKwsNDVUnKnvZhp544gnMnTsXK1euVB1GTex9m7lcvdj7NuPi4oJ69eqpgE5Glkln/Y8++sgutxcGN2bYmGTot/TcL07+LykY+o80Cx84cEAdbOg/0h9JDj7FtyHpyyW/uLgNlSQpzZiYGN1vQ/KLWlom/v77b5VekW2kOHvdZq5UL/a8zVyuvrKzs+1ze9G6R7Me/P7770ZnZ2fjd999Z9y/f79x7NixRk9PT+OJEyeM9uyZZ54xrlq1ynj8+HHjpk2bjIMGDTJ6e3vbZb2kpaUZd+7cqS6y202dOlVdP3nypLpfRjHIyIW///7bGBkZabznnnuMoaGhxtTUVKO91ovcJ9vQhg0bjFFRUcaVK1caO3bsaKxWrZru6+XRRx9V24PsP7GxsUWXzMzMosfY4zZzpXqx521mwoQJxjVr1qjPvWfPHuOLL75odHBwMC5ZssQutxcGN2by2WefGcPDw40uLi7GNm3alBiaaK+GDh2qdh4J/MLCwoy33Xabcd++fUZ7JAdZOXmXvsiwVSFDNWXovAzXdHV1NXbt2lUdgOy5XuSE1adPH2OVKlXUNlSzZk11e3R0tNbFtriy6kQu06dPL3qMPW4zV6oXe95mRo0aVXQOqlKlirFnz55FgY09bi8G+Ufr1iMiIiIic2GfGyIiItIVBjdERESkKwxuiIiISFcY3BAREZGuMLghIiIiXWFwQ0RERLrC4IaIiIh0hcENERER6QqDGyKySt27d8fYsWO1LgYR2SAGN0RERKQrDG6IiIqtlExEto/BDRFZrYKCAjz33HMICAhASEgIJk2aVHRfdHQ0Bg8eDC8vL/j4+OCuu+7C2bNni+4fOXIkhgwZUuL1JM0l6S4TuT5mzBiMGzcOQUFB6N27dyV9MiKyJAY3RGS1fvjhB3h6emLz5s1499138dprr2Hp0qWQ9X4lcElKSsLq1avVbceOHcPQoUOv6T2cnJywfv16fPXVVxb5HERUuZwq+f2IiCqsRYsWePXVV9X1+vXr49NPP8Xy5cvV//fs2YOoqCjUqFFD/f+nn35C06ZNsXXrVrRr167C71GvXj0VOBGRfrDlhoisOrgpLjQ0FPHx8Thw4IAKakyBjWjSpAn8/PzUfVejbdu2ZisvEVkHBjdEZLWcnZ1L/N9gMKh+OJKWkuulFb/dwcFB/b+43NzcS54jaS8i0hcGN0Rkc6SVRjoUx8TEFN22f/9+pKSkoHHjxur/VapUQWxsbInn7dq1q9LLSkSVj8ENEdmcXr16qZTVvffeix07dmDLli0YPnw4unXrVpRmuummm7Bt2zb8+OOPOHLkiOq7s3fvXq2LTkSVgMENEdkcST3NmTMH/v7+6Nq1qwp26tSpg5kzZxY9pm/fvnj55ZfVUHLpYJyWlqYCICLSP4OxdFKaiIiIyIax5YaIiIh0hcENERER6QqDGyIiItIVBjdERESkKwxuiIiISFcY3BAREZGuMLghIiIiXWFwQ0RERLrC4IaIiIh0hcENERER6QqDGyIiIoKe/B8PIL0IyasNDgAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\"\"\" plot fit of sample \"\"\"\n", + "t_0 = 8 * ureg.hour\n", + "t_plot = 32 * ureg.hour\n", + "idx_0 = pp.idx_from_t(sim_result.times, t_0)\n", + "idx_plot = pp.idx_from_t(sim_result.times, t_plot)\n", + "\n", + "tau_exp = PP_data[\"tau_exp\"].values[idx] * ureg.second\n", + "n0 = sim_result.inventories_T2_salt[idx_0]\n", + "\n", + "fig,ax = plt.subplots(1,1)\n", + "ax.plot(sim_result.times[:idx_plot+1], sim_result.inventories_T2_salt[:idx_plot+1], label=\"T2 inventory\")\n", + "t_fit = np.linspace(8 * ureg.hour, t_plot, 100)\n", + "ax.plot(t_fit, n0 * np.exp(-(t_fit-t_0) / tau_exp), label=\"Fitted exp decay\", linestyle=\"--\")\n", + "ax.legend()\n", + "ax.xaxis.set_units(ureg.hour)\n", + "ax.grid()\n", + "\n", + "fig.suptitle(f\"sample {idx}, tau = {tau_exp.to('s'):.2f}, n0={n0:.2e}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "78ac6115", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'datasets/20260424_131925 - log residual after 7 day')" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "y_log = True\n", + "x_name = \"log(K_s)\"\n", + "y_name = \"log(h_l)\"\n", + "c_name = f\"log(residual_{t_residual:.0f})\"\n", + "Y_plot = [Y[c_name] if y_log is True else np.power(10, Y[c_name]), Y[\"tau_exp\"].values]\n", + "\n", + "fig,axs = plt.subplots(1,1, figsize=(12,6))\n", + "\n", + "plt.scatter(X[\"log(h_l)\"], Y[\"tau_exp\"])\n", + "\n", + "plt.title(f\"{FOLDER} - {\"log\" if y_log else \"\"} residual after {t_residual:.0f}\")\n", + "\n", + "# plt.savefig(FOLDER / \"postprocessing\" / \"scatter.png\")\n", + "\n", + "# plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "autoemulate_env", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/LL_sensitivity.py b/examples/LL_sensitivity.py new file mode 100644 index 0000000..690812a --- /dev/null +++ b/examples/LL_sensitivity.py @@ -0,0 +1,159 @@ +from datetime import datetime +from pathlib import Path + +from sparging.inputs import ( + LIBRA_PI_GEOM, + LIBRA_PI_MAT, + LIBRA_PI_OPERATING_PARAMS, + LIBRA_PI_SPARGING_PARAMS, + SimulationInput, +) +from sparging.config import ureg +from sparging.correlations import all_correlations, CorrelationType + +import logging + +from autoemulate.simulations.base import Simulator +from autoemulate import AutoEmulate +from autoemulate.core.sensitivity_analysis import SensitivityAnalysis + +import torch +import pandas as pd +import json +import networkx as nx + +COMPUTE_SOBOL = False + +logger = logging.getLogger(__name__) +logging.basicConfig(level=logging.WARNING) + +FOLDER = Path("datasets") / datetime.now().strftime("%Y%m%d_%H%M%S") +FOLDER.mkdir(exist_ok=True, parents=True) +FOLDER_SAMPLES = FOLDER / "samples" +FOLDER_SAMPLES.mkdir(exist_ok=True, parents=True) +FOLDER_PP = FOLDER / "postprocessing" +FOLDER_PP.mkdir(exist_ok=True) + +outputs = [] +h_l_corrs = all_correlations.get_list(CorrelationType.MASS_TRANSFER_COEFF) +D_l_corrs = all_correlations.get_list(CorrelationType.DIFFUSIVITY) + + +class SpargingProblem(Simulator): + def __init__(self, parameters_range, output_names): + self.counter = 0 + super().__init__(parameters_range, output_names) + + def _forward(self, x: torch.Tensor) -> torch.Tensor: + # construct simulation input + LIBRA_PI_OPERATING_PARAMS.temperature = x[0, 0].item() * ureg.celsius + LIBRA_PI_OPERATING_PARAMS.P_top = x[0, 1].item() * ureg.bar + LIBRA_PI_OPERATING_PARAMS.flow_g_mol = x[0, 2].item() * ureg.sccm + LIBRA_PI_GEOM.nozzle_diameter = x[0, 3].item() * ureg.m + # LIBRA_PI_SPARGING_PARAMS.h_l = h_l_corrs[int(x[0, 4].item())] + LIBRA_PI_MAT.D_l = D_l_corrs[int(x[0, 4].item())] + # breakpoint() + + graph = nx.Graph() + sim_input = SimulationInput.from_parameters( + LIBRA_PI_GEOM, + LIBRA_PI_MAT, + LIBRA_PI_OPERATING_PARAMS, + LIBRA_PI_SPARGING_PARAMS, + graph=graph, + ) + tau = sim_input.get_tau() + h_l = sim_input.h_l + a = sim_input.a + eps_g = sim_input.eps_g + sim_input.to_json( + FOLDER_SAMPLES / f"sample_{self.counter}.json" + ) # for debugging and postprocessing + self.counter += 1 + + # for post processing + Pi = sim_input.get_Pi_number().to("dimensionless").magnitude + PP_numbers.append( + [ + Pi, + tau.to("s").magnitude, + h_l.to("m/s").magnitude, + a.to("1/m").magnitude, + eps_g.to("dimensionless").magnitude, + graph.nodes["d_b"]["value"].to("m").magnitude, + graph.nodes["u_g0"]["value"].to("m/s").magnitude, + graph.nodes["h_l"]["origin"], + graph.nodes["D_l"]["origin"], + ] + ) + y = torch.tensor( + [[tau.to("s").magnitude]], + dtype=torch.float64, + ) + return y + + +simulator = SpargingProblem( + parameters_range={ # realistic (wide) parameters range for LIBRA + "temperature": (500, 600), # celsius + "P_top": (1, 2), # bar + "flow_g_mol": (100, 500), # sccm + "nozzle_diameter": (1e-3, 5e-3), # m + "D_l_corr": (0, 0), # index for selecting diffusivity correlation + }, + output_names=["tau"], +) + +n_samples = 5000 + +X = simulator.sample_inputs(n_samples) + +PP_numbers = [] +Y, _ = simulator.forward_batch(X, allow_failures=False) + +# save training data +pd.DataFrame(Y, columns=simulator.output_names).to_csv( + FOLDER / "simulator_outputs.csv", index=False +) +pd.DataFrame(X, columns=simulator.param_names).to_csv( + FOLDER / "simulator_inputs.csv", index=False +) +pd.DataFrame( + PP_numbers, + columns=["Pi", "tau", "h_l", "a", "eps_g", "d_b", "u_g0", "h_l_corr", "D_l_corr"], +).to_csv(FOLDER / "PP_data.csv", index=False) + +# sensitivity analysis problem +problem = { + "num_vars": simulator.in_dim, + "names": simulator.param_names, + "bounds": simulator.param_bounds, + "output_names": simulator.output_names, +} + +with open(FOLDER / "problem.json", "w") as f: + json.dump(problem, f, indent=4) + +if COMPUTE_SOBOL: + # Run AutoEmulate with default settings + ae = AutoEmulate(X, Y, log_level="WARNING", models=["GaussianProcessRBF"]) + ae.summarise() + + # pick best model + emulator = ae.best_result() + print(f"Selected model: {emulator.model_name} with id: {emulator.id}") + + # The use_timestamp paramater ensures a new result is saved each time the save method is called + best_result_filepath = ae.save(emulator, FOLDER, use_timestamp=False) + print("Model and metadata saved to: ", best_result_filepath) + + ae.plot_preds( + emulator, + output_names=simulator.output_names, + fname=FOLDER_PP / "predictions.png", + ) + + # === Sensitivity analysis === + sa = SensitivityAnalysis(emulator.model, problem=problem) + sobol_df = sa.run("sobol") + sa.plot_sobol(sobol_df, index="ST", fname=FOLDER_PP / "sobolTot.png") diff --git a/examples/Sparging_UQ.py b/examples/Sparging_UQ.py new file mode 100644 index 0000000..92213fb --- /dev/null +++ b/examples/Sparging_UQ.py @@ -0,0 +1,121 @@ +from datetime import datetime +from pathlib import Path + +from sparging.inputs import ( + LIBRA_PI_GEOM, + LIBRA_PI_MAT, + LIBRA_PI_OPERATING_PARAMS, + LIBRA_PI_SPARGING_PARAMS, + SimulationInput, +) +from sparging.config import ureg +from sparging.correlations import all_correlations, CorrelationType + +import logging + +from autoemulate.simulations.base import Simulator +from autoemulate import AutoEmulate +from autoemulate.core.sensitivity_analysis import SensitivityAnalysis + +import torch +import pandas as pd +import json +import networkx as nx +import numpy as np + +logger = logging.getLogger(__name__) +logging.basicConfig(level=logging.WARNING) + +FOLDER = Path("datasets") / datetime.now().strftime("%Y%m%d_%H%M%S") +FOLDER.mkdir(exist_ok=True, parents=True) +FOLDER_SAMPLES = FOLDER / "samples" +FOLDER_SAMPLES.mkdir(exist_ok=True, parents=True) +FOLDER_PP = FOLDER / "postprocessing" +FOLDER_PP.mkdir(exist_ok=True) + +outputs = [] +h_l_corrs = all_correlations.get_list(CorrelationType.MASS_TRANSFER_COEFF) +D_l_corrs = all_correlations.get_list(CorrelationType.DIFFUSIVITY) + + +def forward(count, x: dict) -> list: + """return list of values for post processing""" + # construct simulation input + LIBRA_PI_OPERATING_PARAMS.temperature = x["temperature"] * ureg.celsius + LIBRA_PI_OPERATING_PARAMS.P_top = x["P_top"] * ureg.bar + LIBRA_PI_OPERATING_PARAMS.flow_g_mol = x["flow_g_mol"] * ureg.sccm + LIBRA_PI_GEOM.nozzle_diameter = x["nozzle_diameter"] * ureg.m + # LIBRA_PI_SPARGING_PARAMS.h_l = x["h_l_corr"] + LIBRA_PI_MAT.D_l = D_l_corrs[x["D_l_corr_number"]] + # breakpoint() + + graph = nx.Graph() + sim_input = SimulationInput.from_parameters( + LIBRA_PI_GEOM, + LIBRA_PI_MAT, + LIBRA_PI_OPERATING_PARAMS, + LIBRA_PI_SPARGING_PARAMS, + graph=graph, + ) + tau = sim_input.get_tau() + h_l = sim_input.h_l + a = sim_input.a + eps_g = sim_input.eps_g + # sim_input.to_json( + # FOLDER_SAMPLES / f"sample_{count}.json" + # ) # for debugging and postprocessing + + # for post processing + Pi = sim_input.get_Pi_number().to("dimensionless").magnitude + return [ + Pi, + tau.to("s").magnitude, + h_l.to("m/s").magnitude, + a.to("1/m").magnitude, + eps_g.to("dimensionless").magnitude, + graph.nodes["d_b"]["value"].to("m").magnitude, + graph.nodes["u_g0"]["value"].to("m/s").magnitude, + graph.nodes["h_l"]["origin"], + graph.nodes["D_l"]["origin"], + ] + + +n_samples = 1000 +inputs = [] +postprocess = [] + +for i in range(n_samples): + input = { + "temperature": np.random.normal(550, 25), # celsius + "P_top": 1.2, # bar + "flow_g_mol": 400, # sccm + "nozzle_diameter": 1.5e-3, # m + "D_l_corr_number": np.random.randint( + 0, 2 + ), # index for selecting diffusivity correlation + } + inputs.append(input) + print(f"Running simulation {i + 1}/{n_samples}") + postprocess.append(forward(i, input)) + +# save training data +PP_frame = pd.DataFrame( + postprocess, + columns=["Pi", "tau", "h_l", "a", "eps_g", "d_b", "u_g0", "h_l_corr", "D_l_corr"], +) +PP_frame.to_csv(FOLDER / "PP_data.csv", index=False) + +# for compatibility with postprocessing code +pd.DataFrame(PP_frame, columns=["tau"]).to_csv( + FOLDER / "simulator_outputs.csv", index=False +) +input_frame = pd.DataFrame(inputs) +input_frame.to_csv(FOLDER / "simulator_inputs.csv", index=False) + +problem = { + "names": [x for x in inputs[0].keys()], + "bounds": ["550 +- 25", "1.2", "400", "1.5e-3", "oishi or calderoni"], +} + +with open(FOLDER / "problem.json", "w") as f: + json.dump(problem, f, indent=4) diff --git a/sensitivity.py b/examples/sensitivity.py similarity index 100% rename from sensitivity.py rename to examples/sensitivity.py diff --git a/sparging101.py b/examples/sparging101.py similarity index 100% rename from sparging101.py rename to examples/sparging101.py diff --git a/sparging_LIBRA1L.py b/examples/sparging_LIBRA1L.py similarity index 100% rename from sparging_LIBRA1L.py rename to examples/sparging_LIBRA1L.py diff --git a/examples/sparging_LIBRA_Pi.py b/examples/sparging_LIBRA_Pi.py new file mode 100644 index 0000000..32a1353 --- /dev/null +++ b/examples/sparging_LIBRA_Pi.py @@ -0,0 +1,50 @@ +from sparging.config import ureg +from sparging import all_correlations +from sparging import animation +from sparging.model import Simulation +from sparging.inputs import ( + LIBRA_PI_GEOM, + LIBRA_PI_MAT, + LIBRA_PI_OPERATING_PARAMS, + LIBRA_PI_SPARGING_PARAMS, + SimulationInput, +) +import logging +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + import pint + +logger = logging.getLogger(__name__) +logging.basicConfig(level=logging.WARNING) + +LIBRA_PI_OPERATING_PARAMS.temperature = 700 * ureg.celsius + +my_input = SimulationInput.from_parameters( + LIBRA_PI_GEOM, + LIBRA_PI_MAT, + LIBRA_PI_OPERATING_PARAMS, + LIBRA_PI_SPARGING_PARAMS, +) + +my_input.signal_sparging = lambda t: 0 if t < 8 * ureg.hours else 1 +my_input.signal_irr = lambda t: 1 if t <= 8 * ureg.hours else 0 + +my_simulation = Simulation( + my_input, + t_final=4 * ureg.days, + profile_pressure_hydrostatic=True, +) + +if __name__ == "__main__": + output = my_simulation.solve() + output.to_json("libra_pi_output_700C.json") + + # # save output to file + # output.profiles_to_csv(f"output_{tank_height}m.csv") + + # # plot results + # from sparging import plotting + # plotting.plot_animation(output) + + animation.create_animation(output, show_activity=False) diff --git a/sensitivity.ipynb b/sensitivity.ipynb deleted file mode 100644 index 0548d30..0000000 --- a/sensitivity.ipynb +++ /dev/null @@ -1,422 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 69, - "id": "34bbbb98", - "metadata": {}, - "outputs": [], - "source": [ - "from autoemulate import AutoEmulate\n", - "import torch\n", - "import pandas as pd\n", - "from pathlib import Path\n", - "from sparging.config import ureg\n", - "\n", - "# FOLDER = Path(\"/home/monroe/libra_pi/libra_sparging/20260422_164947\")\n", - "FOLDER = Path(\"training/20260424_115242\")\n", - "t_residual = 1 * ureg.day\n", - "\n", - "# model = AutoEmulate.load_model(FOLDER / \"GaussianProcessRBF_1_20260422_165335.joblib\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 70, - "id": "9e04a7db", - "metadata": {}, - "outputs": [], - "source": [ - "X = pd.read_csv(FOLDER / \"simulator_inputs.csv\")\n", - "Y = pd.read_csv(FOLDER / \"simulator_outputs.csv\")\n", - "Z = torch.tensor(Y.values, dtype=torch.float32)" - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "id": "e25078c0", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/tmp/ipykernel_1486953/3239760125.py:29: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", - " fig.tight_layout()\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "y_log = True\n", - "x_name = \"log(K_s)\"\n", - "y_name = \"log(h_l)\"\n", - "c_name = f\"log(residual_{t_residual:.0f})\"\n", - "Y_plot = [Y[c_name] if y_log is True else np.power(10, Y[c_name]), Y[\"tau_exp\"].values]\n", - "\n", - "fig,axs = plt.subplots(1,2, figsize=(12,6))\n", - "plt.sca(axs[0])\n", - "plt.scatter(X[x_name], X[y_name], c=Y_plot[0], cmap=\"viridis\", vmin=Y_plot[0].min(), vmax=Y_plot[0].max())\n", - "\n", - "plt.title(f\"{FOLDER} - {\"log\" if y_log else \"\"} residual after {t_residual:.0f}\")\n", - "\n", - "plt.xlabel(x_name)\n", - "plt.ylabel(y_name)\n", - "plt.colorbar(cax=fig.add_axes([0.42, 0.15, 0.01, 0.7]))\n", - "\n", - "plt.sca(axs[1])\n", - "plt.scatter(X[x_name], X[y_name], c=Y_plot[1], cmap=\"viridis\", vmin=Y_plot[1].min(), vmax=Y_plot[1].max())\n", - "\n", - "plt.title(f\"{FOLDER} - tau exp [s]\")\n", - "\n", - "plt.xlabel(x_name)\n", - "plt.ylabel(y_name)\n", - "\n", - "plt.colorbar(cax=fig.add_axes([0.92, 0.15, 0.01, 0.7]))\n", - "fig.tight_layout()\n", - "plt.savefig(FOLDER / \"postprocessing\" / \"scatter.png\")\n", - "\n", - "# plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 72, - "id": "b3664fc7", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "PP_data = pd.read_csv(FOLDER / \"PP_numbers.csv\")\n", - "\n", - "plt.hist(np.log10(PP_data[\"PP_number\"].values), bins=20, edgecolor='black', alpha=0.7)\n", - "plt.vlines(np.log10(0.1), ymin=0, ymax=plt.gca().get_ylim()[1], colors=\"red\", linestyles=\"dashed\", label=\"SPP limit\")\n", - "plt.title(f\"{FOLDER} - Pi number distribution, n={len(PP_data)}\")\n", - "plt.xlabel(\"log10(Pi)\")\n", - "plt.ylabel(\"# samples\")\n", - "plt.legend()\n", - "plt.savefig(FOLDER / \"postprocessing\" / \"PI_distrib.png\")" - ] - }, - { - "cell_type": "code", - "execution_count": 73, - "id": "803b3138", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "PP range: 7.51e-05 - 2.79e+03\n" - ] - } - ], - "source": [ - "\"\"\" PP number range from input parameters range\"\"\"\n", - "\n", - "parameters_range={\n", - " \"log(h_l)\": tuple(np.log10((1e-4, 1e-2))),\n", - " \"log(eps_g)\": tuple(np.log10((1e-4, 2e-1))),\n", - " \"a\": (0.05, 0.5),\n", - " \"temperature\": (450, 800),\n", - " \"log(K_s)\": tuple(np.log10((1e-3, 1e-0))),\n", - " \"u_g0\": (0.02, 0.4),\n", - " }\n", - "p = parameters_range\n", - "PP_max = 8.314 * (np.max(p[\"temperature\"])+273) * 10**np.max(p[\"log(K_s)\"]) * 10**np.max(p[\"log(h_l)\"]) * np.max(p[\"a\"]) * 1 / ((1-10**np.max(p[\"log(eps_g)\"])) * np.min(p[\"u_g0\"]))\n", - "PP_min = 8.314 * (np.min(p[\"temperature\"])+273) * 10**np.min(p[\"log(K_s)\"]) * 10**np.min(p[\"log(h_l)\"]) * np.min(p[\"a\"]) * 1 / ((1-10**np.min(p[\"log(eps_g)\"])) * np.max(p[\"u_g0\"]))\n", - "print(f\"PP range: {PP_min:.2e} - {PP_max:.2e}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 74, - "id": "cd9e3e57", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Monte Carlo samples: 50000\n", - "\n", - "==================================================\n", - "PP STATISTICS\n", - "==================================================\n", - " Min: 6.05e-03\n", - " Max: 8.60e+01\n", - " Mean: 2.54e+00\n", - " Std: 4.89e+00\n", - " Median: 7.89e-01\n", - " log10 range: [-2.22, 1.93]\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 74, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", - "def monte_carlo_pp_sample(parameters_range, n_samples=10000):\n", - " R = 8.314 # Gas constant J/(mol·K)\n", - " \n", - " # Initialize storage for samples\n", - " samples = {key: np.zeros(n_samples) for key in parameters_range.keys()}\n", - " # Sample uniformly from each parameter range\n", - " for param, (min_val, max_val) in parameters_range.items():\n", - " samples[param] = np.random.uniform(min_val, max_val, n_samples)\n", - " \n", - " # Compute PP for each sample\n", - " Pi_values = (\n", - " R * \n", - " (samples[\"temperature\"] + 273) * \n", - " 10**samples[\"log(K_s)\"] * \n", - " 10**samples[\"log(h_l)\"] * \n", - " # 10**samples[\"log(a)\"] / \n", - " samples[\"a\"] /\n", - " ((1 - 10**samples[\"log(eps_g)\"]) * samples[\"u_g0\"])\n", - " )\n", - " \n", - " return Pi_values, samples\n", - "\n", - "\n", - "parameters_range={\n", - " \"log(h_l)\": tuple(np.log10((1e-3, 1e-2))),\n", - " \"log(eps_g)\": tuple(np.log10((1e-4, 2e-1))),\n", - " \"a\": (0.05, 0.3),\n", - " \"temperature\": (700, 800),\n", - " \"log(K_s)\": tuple(np.log10((1e-3, 1e-1))),\n", - " \"u_g0\": (0.02, 0.1),\n", - "}\n", - "\n", - "# parameters_range={\n", - "# \"log(h_l)\": tuple(np.log10((1e-7, 1e-4))),\n", - "# \"log(eps_g)\": tuple(np.log10((1e-4, 2e-1))),\n", - "# \"log(a)\": tuple(np.log10((1e-2, 1e2))),\n", - "# \"temperature\": (450, 800),\n", - "# \"log(K_s)\": tuple(np.log10((1e-7, 1e-3))),\n", - "# \"u_g0\": (0.02, 0.4),\n", - "# \"E_l\": tuple(np.log10((1e-3, 1e0))),\n", - "# \"E_g\": tuple(np.log10((1e-4, 1e-1))),\n", - "# \"P_bottom\": (1, 10),\n", - "# }\n", - "\n", - "# Run Monte Carlo\n", - "n_samples = 50000\n", - "pp_values, samples = monte_carlo_pp_sample(parameters_range, n_samples)\n", - "\n", - "# Statistics\n", - "print(f\"Monte Carlo samples: {n_samples}\")\n", - "print(f\"\\n{'='*50}\")\n", - "print(f\"PP STATISTICS\")\n", - "print(f\"{'='*50}\")\n", - "print(f\" Min: {np.min(pp_values):.2e}\")\n", - "print(f\" Max: {np.max(pp_values):.2e}\")\n", - "print(f\" Mean: {np.mean(pp_values):.2e}\")\n", - "print(f\" Std: {np.std(pp_values):.2e}\")\n", - "print(f\" Median: {np.median(pp_values):.2e}\")\n", - "print(f\" log10 range: [{np.log10(np.min(pp_values)):.2f}, {np.log10(np.max(pp_values)):.2f}]\")\n", - "\n", - "# Visualization\n", - "fig_MC, ax = plt.subplots()\n", - "\n", - "# PP distribution (log scale)\n", - "ax.hist(np.log10(pp_values), bins=20,edgecolor='black', alpha=0.7)\n", - "# ax.hist(pp_values, bins=50, range=(0,10),edgecolor='black', alpha=0.7)\n", - "\n", - "ax.set_xlabel(\"log10(Pi)\")\n", - "ax.set_ylabel(\"Frequency\")\n", - "ax.set_title(f\"{FOLDER} - Predicted Pi Distribution\")\n", - "ax.grid(alpha=0.3)\n", - "ax.vlines(np.log10(0.1), ymin=0, ymax=plt.gca().get_ylim()[1], colors=\"red\", linestyles=\"dashed\", label=\"SPP limit\")\n", - "# ax.vlines(0.1, ymin=0, ymax=plt.gca().get_ylim()[1], colors=\"red\", linestyles=\"dashed\", label=\"SPP limit\")\n", - "\n", - "ax.legend()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "02a6baa6", - "metadata": {}, - "outputs": [], - "source": [ - "# fig_MC.savefig(FOLDER / \"postprocessing\" / \"PI_monte_carlo.png\", dpi=150)" - ] - }, - { - "cell_type": "code", - "execution_count": 76, - "id": "721935eb", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Diagnostic for sample 5: PP=0.2382243535793523, residual=1.79e-07\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\"\"\" sample inspection\"\"\"\n", - "from sparging.model import SimulationResults\n", - "from sparging.config import ureg\n", - "import sparging.postprocess as pp\n", - "\n", - "idxs = np.argwhere(PP_data[\"PP_number\"].values > 1)\n", - "# idx = idxs[0,0]\n", - "idx = 5\n", - "print(f\"Diagnostic for sample {idx}: PP={PP_data['PP_number'].values[idx]}, residual={10**Y[f'log(residual_{t_residual:.0f})'].values[idx]:.2e}\")\n", - "sim_result = SimulationResults.from_json(FOLDER/\"samples\"/f\"sample_{idx}.json\")\n", - "\n", - "fig, axs = plt.subplots(1,2, figsize=(14,5))\n", - "secax0 = axs[0].twinx()\n", - "secax1 = axs[1].twinx()\n", - "lns1 = axs[0].plot(sim_result.times, sim_result.inventories_T2_salt, label=\"T2 inventory\")\n", - "lns2 = secax0.plot(sim_result.times, sim_result.fluxes_T2, color=\"red\", linestyle=\":\", label=\"T2 extraction rate\")\n", - "lns = lns1 + lns2 \n", - "labels = [l.get_label() for l in lns]\n", - "axs[0].legend(lns, labels)\n", - "axs[0].xaxis.set_units(ureg.day)\n", - "\n", - "for t in [8, 9, 10, 11]*ureg.hour:\n", - " idx_to_plot = pp.idx_from_t(sim_result.times, t)\n", - " time = sim_result.times[idx_to_plot].to(t.units)\n", - " axs[1].plot(sim_result.x_ct, sim_result.c_T2_solutions[idx_to_plot], label=f\"{time:.1f}\")\n", - " secax1.plot(sim_result.x_ct, sim_result.y_T2_solutions[idx_to_plot], linestyle=\"--\", alpha=0.5)\n", - "axs[1].set_ylim(0)\n", - "axs[1].set_title(\"c_T2 (left) - y_T2 (right)\")\n", - "axs[1].legend()\n", - "fig.suptitle(f\"{FOLDER} - sample {idx} - PP={PP_data['PP_number'].values[idx]:.2f}, residual={10**Y[f'log(residual_{t_residual:.0f})'].values[idx]:.2e}, h_l={10**X['log(h_l)'].values[idx]:.2e}, K_s={10**X['log(K_s)'].values[idx]:.2e}\")\n", - "fig.tight_layout()\n", - "\n", - "FOLDER_PP = FOLDER / \"postprocessing\"\n", - "FOLDER_PP.mkdir(exist_ok=True)\n", - "fig.savefig(FOLDER_PP / f\"diagnostic_sample_{idx}.png\", dpi=150)" - ] - }, - { - "cell_type": "code", - "execution_count": 77, - "id": "50166b05", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 0.98, 'sample 5, tau = 5562.25 second, n0=2.41e-12 molT2')" - ] - }, - "execution_count": 77, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\"\"\" plot fit of sample \"\"\"\n", - "t_0 = 8 * ureg.hour\n", - "t_plot = 32 * ureg.hour\n", - "idx_0 = pp.idx_from_t(sim_result.times, t_0)\n", - "idx_plot = pp.idx_from_t(sim_result.times, t_plot)\n", - "\n", - "tau_exp = PP_data[\"tau_exp\"].values[idx] * ureg.second\n", - "n0 = sim_result.inventories_T2_salt[idx_0]\n", - "\n", - "fig,ax = plt.subplots(1,1)\n", - "ax.plot(sim_result.times[:idx_plot+1], sim_result.inventories_T2_salt[:idx_plot+1], label=\"T2 inventory\")\n", - "t_fit = np.linspace(8 * ureg.hour, t_plot, 100)\n", - "ax.plot(t_fit, n0 * np.exp(-(t_fit-t_0) / tau_exp), label=\"Fitted exp decay\", linestyle=\"--\")\n", - "ax.legend()\n", - "ax.xaxis.set_units(ureg.hour)\n", - "ax.grid()\n", - "\n", - "fig.suptitle(f\"sample {idx}, tau = {tau_exp.to('s'):.2f}, n0={n0:.2e}\")" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "autoemulate_env", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.13" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/src/sparging/postprocess.py b/src/sparging/postprocess.py index 2208204..a89244a 100644 --- a/src/sparging/postprocess.py +++ b/src/sparging/postprocess.py @@ -72,7 +72,14 @@ def fit_exp( phase: str, ) -> tuple[tuple[pint.Quantity, pint.Quantity], tuple[pint.Quantity, pint.Quantity]]: """ + Input: + - vec: array of inventory values + - times: array of times + - t_0: initial fit time + - t_end: final fit time - phase = 'decay' or 'rampup' + --- + Returns: (tau, n0), (tau_std, n0_std) """ def fitting_func(t, tau, n0): From c8b2e0e62fd0a39a94068125da76f4a38cb5f89c Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 12 May 2026 10:28:11 -0400 Subject: [PATCH 110/121] moved to "data processing" folder --- LL_sensitivity.py | 154 ---------------------------------------------- 1 file changed, 154 deletions(-) delete mode 100644 LL_sensitivity.py diff --git a/LL_sensitivity.py b/LL_sensitivity.py deleted file mode 100644 index 0c487d3..0000000 --- a/LL_sensitivity.py +++ /dev/null @@ -1,154 +0,0 @@ -from datetime import datetime -from pathlib import Path - -from sparging.inputs import ( - LIBRA_PI_GEOM, - LIBRA_PI_MAT, - LIBRA_PI_OPERATING_PARAMS, - LIBRA_PI_SPARGING_PARAMS, - SimulationInput, -) -from sparging.config import ureg -from sparging.correlations import all_correlations, CorrelationType - -import logging - -from autoemulate.simulations.base import Simulator -from autoemulate import AutoEmulate -from autoemulate.core.sensitivity_analysis import SensitivityAnalysis - -import torch -import pandas as pd -import json -import networkx as nx - -COMPUTE_SOBOL = False - -logger = logging.getLogger(__name__) -logging.basicConfig(level=logging.WARNING) - -FOLDER = Path("datasets") / datetime.now().strftime("%Y%m%d_%H%M%S") -FOLDER.mkdir(exist_ok=True, parents=True) -FOLDER_SAMPLES = FOLDER / "samples" -FOLDER_SAMPLES.mkdir(exist_ok=True, parents=True) -FOLDER_PP = FOLDER / "postprocessing" -FOLDER_PP.mkdir(exist_ok=True) - -outputs = [] -h_l_corrs = all_correlations.get_list(CorrelationType.MASS_TRANSFER_COEFF) - - -class SpargingProblem(Simulator): - def __init__(self, parameters_range, output_names): - self.counter = 0 - super().__init__(parameters_range, output_names) - - def _forward(self, x: torch.Tensor) -> torch.Tensor: - # construct simulation input - LIBRA_PI_OPERATING_PARAMS.temperature = x[0, 0].item() * ureg.celsius - LIBRA_PI_OPERATING_PARAMS.P_top = x[0, 1].item() * ureg.bar - LIBRA_PI_OPERATING_PARAMS.flow_g_mol = x[0, 2].item() * ureg.sccm - LIBRA_PI_GEOM.nozzle_diameter = x[0, 3].item() * ureg.m - # LIBRA_PI_SPARGING_PARAMS.h_l = h_l_corrs[int(x[0, 4].item())] - # breakpoint() - - graph = nx.Graph() - sim_input = SimulationInput.from_parameters( - LIBRA_PI_GEOM, - LIBRA_PI_MAT, - LIBRA_PI_OPERATING_PARAMS, - LIBRA_PI_SPARGING_PARAMS, - graph=graph, - ) - tau = sim_input.get_tau() - h_l = sim_input.h_l - a = sim_input.a - eps_g = sim_input.eps_g - # sim_input.to_json( - # FOLDER_SAMPLES / f"sample_{self.counter}.json" - # ) # for debugging and postprocessing - self.counter += 1 - - # for post processing - Pi = sim_input.get_Pi_number().to("dimensionless").magnitude - PP_numbers.append( - [ - Pi, - tau.to("s").magnitude, - h_l.to("m/s").magnitude, - a.to("1/m").magnitude, - eps_g.to("dimensionless").magnitude, - graph.nodes["d_b"]["value"].to("m").magnitude, - graph.nodes["u_g0"]["value"].to("m/s").magnitude, - graph.nodes["h_l"]["origin"], - ] - ) - y = torch.tensor( - [[tau.to("s").magnitude]], - dtype=torch.float64, - ) - return y - - -simulator = SpargingProblem( - parameters_range={ # realistic (wide) parameters range for LIBRA - "temperature": (450, 800), # celsius - "P_top": (1, 5), # bar - "flow_g_mol": (40, 400), # sccm - "nozzle_diameter": (0.5e-3, 10e-3), # m - }, - output_names=["tau"], -) - -n_samples = 1000 - -X = simulator.sample_inputs(n_samples) - -PP_numbers = [] -Y, _ = simulator.forward_batch(X, allow_failures=False) - -# save training data -pd.DataFrame(Y, columns=simulator.output_names).to_csv( - FOLDER / "simulator_outputs.csv", index=False -) -pd.DataFrame(X, columns=simulator.param_names).to_csv( - FOLDER / "simulator_inputs.csv", index=False -) -pd.DataFrame( - PP_numbers, columns=["Pi", "tau", "h_l", "a", "eps_g", "d_b", "u_g0", "h_l_corr"] -).to_csv(FOLDER / "PP_data.csv", index=False) - -# sensitivity analysis problem -problem = { - "num_vars": simulator.in_dim, - "names": simulator.param_names, - "bounds": simulator.param_bounds, - "output_names": simulator.output_names, -} - -with open(FOLDER / "problem.json", "w") as f: - json.dump(problem, f, indent=4) - -if COMPUTE_SOBOL: - # Run AutoEmulate with default settings - ae = AutoEmulate(X, Y, log_level="WARNING", models=["GaussianProcessRBF"]) - ae.summarise() - - # pick best model - emulator = ae.best_result() - print(f"Selected model: {emulator.model_name} with id: {emulator.id}") - - # The use_timestamp paramater ensures a new result is saved each time the save method is called - best_result_filepath = ae.save(emulator, FOLDER, use_timestamp=False) - print("Model and metadata saved to: ", best_result_filepath) - - ae.plot_preds( - emulator, - output_names=simulator.output_names, - fname=FOLDER_PP / "predictions.png", - ) - - # === Sensitivity analysis === - sa = SensitivityAnalysis(emulator.model, problem=problem) - sobol_df = sa.run("sobol") - sa.plot_sobol(sobol_df, index="ST", fname=FOLDER_PP / "sobolTot.png") From 999d9cdb8876bb193c7f2cee2935aa7a44e71689 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 12 May 2026 10:28:40 -0400 Subject: [PATCH 111/121] molT2 to Bq unit conversion --- src/sparging/config.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/src/sparging/config.py b/src/sparging/config.py index 7ebbde9..d796609 100644 --- a/src/sparging/config.py +++ b/src/sparging/config.py @@ -2,6 +2,10 @@ import scipy.constants as const import logging +molar_mass_T2 = 3.016 * 2 # g/mol T2 +specific_activity_tritium = 3.57e14 # Bq/g +molT2_to_activity = molar_mass_T2 * specific_activity_tritium # Bq/mol T2 + ureg = UnitRegistry( autoconvert_offset_to_baseunit=True ) # to deal with offset units (eg: degree celsius) @@ -12,6 +16,7 @@ ureg.define(f"molT2 = 2 * {const.N_A} * triton") ureg.define("neutron = [neutron] = n") ureg.define("sccm = 7.44e-7 mol/s") # holds for an ideal gas +ureg.define(f"Bq = {1 / molT2_to_activity} * molT2") const_R = const.R * ureg("J/K/mol") # ideal gas constant From 52e8544858990c47cae866fbf781c7ca753a9ad0 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 12 May 2026 10:29:54 -0400 Subject: [PATCH 112/121] added Oishi diffusivity and set default to Calderoni --- src/sparging/correlations.py | 25 ++++++++++++++++++++++--- 1 file changed, 22 insertions(+), 3 deletions(-) diff --git a/src/sparging/correlations.py b/src/sparging/correlations.py index 14a0c6d..5c7d28c 100644 --- a/src/sparging/correlations.py +++ b/src/sparging/correlations.py @@ -112,7 +112,7 @@ def get_list(self, corr_type: CorrelationType) -> list[Correlation]: identifier="mu_l", function=lambda temperature: ureg.Quantity( 0.116e-3 * np.exp(3755 / temperature.to("kelvin").magnitude), "Pa*s" - ), # kinematic viscosity of Li2BeF4, Cantor 1968 + ), # dynamic viscosity of Li2BeF4, Cantor 1968 corr_type=CorrelationType.VISCOSITY, source="Cantor 1968", description="dynamic viscosity of Li2BeF4 as a function of temperature", @@ -146,8 +146,8 @@ def get_list(self, corr_type: CorrelationType) -> list[Correlation]: all_correlations.append(sigma_l) # TODO this could leverage HTM -D_l = Correlation( - identifier="D_l", +D_l_calderoni = Correlation( + identifier="D_l_calderoni", function=lambda temperature: ( 9.3e-7 * ureg("m**2/s") @@ -159,6 +159,25 @@ def get_list(self, corr_type: CorrelationType) -> list[Correlation]: input_units=["kelvin"], output_units="m**2/s", ) +all_correlations.append(D_l_calderoni) + +D_l_oishi = Correlation( + identifier="D_l_oishi", + function=lambda temperature: ( + 7.57e-7 + * ureg("m**2/s") + * np.exp(-36.7e3 * ureg("J/mol") / (const_R * temperature.to("kelvin"))) + ), + corr_type=CorrelationType.DIFFUSIVITY, + source="Oishi 1989", + description="diffusivity of tritium in liquid FLiBe as a function of temperature", + input_units=["kelvin"], + output_units="m**2/s", +) +all_correlations.append(D_l_oishi) + +D_l = D_l_calderoni # default diffusivity correlation, can be overridden by user defined correlation +D_l.identifier = "D_l" all_correlations.append(D_l) K_s = Correlation( From d8f5b723c55e37be9251ccb92bb21c11ead03fec Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 12 May 2026 10:30:35 -0400 Subject: [PATCH 113/121] changed values, more comments --- src/sparging/animation.py | 2 +- src/sparging/inputs.py | 8 ++++---- src/sparging/model.py | 6 ++++++ 3 files changed, 11 insertions(+), 5 deletions(-) diff --git a/src/sparging/animation.py b/src/sparging/animation.py index a541f8d..12c52c8 100644 --- a/src/sparging/animation.py +++ b/src/sparging/animation.py @@ -163,7 +163,7 @@ def _setup_plot(self): linestyle="None", ) secondary_lines.append(self.flux_line) - secondary_labels.append(r"$\Phi_{T_2}$") + secondary_labels.append(r"$\dot n_{T_2}$") self.ax3_secondary.set_ylabel("Source / Flux [molT2/s]") self.ax3_secondary.grid(False) diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index d66f458..2d7453b 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -435,11 +435,11 @@ def get_sim_input_standard() -> SimulationInput: "name": "LIBRA Pi", "area": 0.2 * ureg.m**2, # 1/4 * pi * (0.5m)^2 "height": 1 * ureg.m, - "nozzle_diameter": 1.4 * ureg.mm, + "nozzle_diameter": 1.5 * ureg.mm, "nb_nozzle": 5 * ureg.dimensionless, - "temperature": 600 * ureg.celsius, - "P_top": 1 * ureg.atm, - "flow_g_mol": 100 * ureg.sccm, + "temperature": 550 * ureg.celsius, + "P_top": 1.2 * ureg.atm, + "flow_g_mol": 400 * ureg.sccm, "tbr": 0.1 * ureg("triton / neutron"), "n_gen_rate": 1e9 * ureg("neutron / s"), "material": "FLiBe", diff --git a/src/sparging/model.py b/src/sparging/model.py index 6b5f066..ceeeb1d 100644 --- a/src/sparging/model.py +++ b/src/sparging/model.py @@ -41,6 +41,7 @@ class SimulationResults: times: np.ndarray[pint.Quantity] c_T2_solutions: np.ndarray[pint.Quantity] + """ line : time step, column : spatial coordinate """ y_T2_solutions: np.ndarray[pint.Quantity] J_T2_solutions: np.ndarray[pint.Quantity] x_ct: np.ndarray[pint.Quantity] @@ -219,6 +220,11 @@ def solve( dx: pint.Quantity | None = None, fast_solve: bool = False, ) -> SimulationResults: + """Input: + - dt: time step, 1000 equal time steps by default + - dx: spatial step, 1000 equal spatial steps by default + - fast_solve: if True, use only 50 equal time and spatial steps + """ # unpack pint.Quantities t_final = self.t_final.to("seconds").magnitude tank_height = self.sim_input.height.to("m").magnitude From af791201166473fce055d2a1e817175e07a2abb7 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 12 May 2026 10:56:56 -0400 Subject: [PATCH 114/121] updated environment yml --- README.md | 7 +++++++ autoemulate_env.yml | 1 + environment.yml | 3 ++- examples/sparging_LIBRA1L.py | 2 +- 4 files changed, 11 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 062b0e3..8356644 100644 --- a/README.md +++ b/README.md @@ -10,11 +10,18 @@ To run the model: > [!NOTE] > This uses `dolfinx` which doesn't run on Linux. For windows users, consider using Windows Subsystem for Linux (WSL) +To simply use the library, use the libra_sparging environment: ``` conda env create -f environment.yml conda activate libra_sparging ``` +To also train a surrogate model (for sensitivity analysis, for example), you need autoemulate, use the autoemulate environment: +``` +conda env create -f autoemulate_env.yml +conda activate autoemulate_env +``` + ``` python -m pip install -e .[dev] ``` diff --git a/autoemulate_env.yml b/autoemulate_env.yml index a4b4fc8..baa104f 100644 --- a/autoemulate_env.yml +++ b/autoemulate_env.yml @@ -11,6 +11,7 @@ dependencies: - scipy - pandas - pint + - networkx - pip: - autoemulate - pyvis diff --git a/environment.yml b/environment.yml index 8cfa8b6..d0c46e5 100644 --- a/environment.yml +++ b/environment.yml @@ -10,4 +10,5 @@ dependencies: - numpy - scipy - pandas - - pint \ No newline at end of file + - pint + - networkx \ No newline at end of file diff --git a/examples/sparging_LIBRA1L.py b/examples/sparging_LIBRA1L.py index b072348..1872957 100644 --- a/examples/sparging_LIBRA1L.py +++ b/examples/sparging_LIBRA1L.py @@ -35,4 +35,4 @@ # from sparging import plotting # plotting.plot_animation(output) - animation.create_animation(output, show_activity=False) + animation.create_animation(output, show_activity=True) From 458a517661a9394f3bd1cfde486da94e42208f25 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 12 May 2026 11:13:27 -0400 Subject: [PATCH 115/121] fixed test_from_parameters_success() + json_dump() doesn't dump lambda functions --- src/sparging/inputs.py | 8 +++++++- test/standard_input.json | 2 +- test/test_simulation_input.py | 6 +++--- 3 files changed, 11 insertions(+), 5 deletions(-) diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index 2d7453b..29bd4c3 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -166,7 +166,13 @@ def to_json(self, path: str): with open(path, "w") as f: json.dump( - {key: str(value) for key, value in self.__dict__.items()}, f, indent=2 + { + key: str(value) + for key, value in self.__dict__.items() + if value is not None and not callable(value) + }, + f, + indent=2, ) @classmethod diff --git a/test/standard_input.json b/test/standard_input.json index 77f4c5f..e606596 100644 --- a/test/standard_input.json +++ b/test/standard_input.json @@ -12,5 +12,5 @@ "E_g": "1.111e-02 m ** 2 / s", "E_l": "1.648e-01 m ** 2 / s", "D_l": "2.857e-09 m ** 2 / s", - "source_T": "8.303e-16 molT / m ** 3 / s" + "Q_T": "1.661e-16 molT / s" } \ No newline at end of file diff --git a/test/test_simulation_input.py b/test/test_simulation_input.py index 67c0756..86eb38d 100644 --- a/test/test_simulation_input.py +++ b/test/test_simulation_input.py @@ -55,10 +55,10 @@ def test_from_parameters_success(tmp_path): "Expected from_parameters to return a SimulationInput instance" ) # Check that all fields are populated and have the correct types - for field in dataclasses.fields(sim_input): - value = getattr(sim_input, field.name) + for field in SimulationInput.required_keys: + value = getattr(sim_input, field) assert isinstance(value, ureg.Quantity), ( - f"Expected field '{field.name}' to be a pint.Quantity, got {type(value)}" + f"Expected field '{field}' to be a pint.Quantity, got {type(value)}" ) reference_path = Path(__file__).with_name("standard_input.json") From f1c107bb6be1c9b69b2a2869ddf81ae5f4d2d8a8 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 12 May 2026 12:03:19 -0400 Subject: [PATCH 116/121] fixed test_simulation_input() --- src/sparging/inputs.py | 4 ++-- test/test_find_in_graph.reference.log | 34 +++++++++++++-------------- test/test_simulation_input.py | 32 +++++++++++++++---------- 3 files changed, 38 insertions(+), 32 deletions(-) diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index 29bd4c3..2ed0779 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -219,7 +219,7 @@ def copy(self): def find_in_graph( required_node: str, - discovered_graph: nx.Graph, # change to Graph object + discovered_graph: nx.Graph, input_objs: List[ SpargingParameters | OperatingParameters | BreederMaterial | ColumnGeometry ], @@ -245,7 +245,7 @@ def find_in_graph( if required_node in all_correlations: result = all_correlations(required_node) logger.verbose( - f"\t Found default correlation for required node '{required_node}': {result.identifier}" + f"Found default correlation for required node '{required_node}': {result.identifier}" ) else: raise ValueError( diff --git a/test/test_find_in_graph.reference.log b/test/test_find_in_graph.reference.log index cf43ccb..9992b18 100644 --- a/test/test_find_in_graph.reference.log +++ b/test/test_find_in_graph.reference.log @@ -1,17 +1,17 @@ -INFO:sparging.inputs:Found default correlation for required node 'drho': drho -INFO:sparging.inputs:Resolving argument 'rho_l' for correlation 'drho'... -INFO:sparging.inputs:Found default correlation for required node 'rho_l': rho_l -INFO:sparging.inputs:Resolving argument 'temperature' for correlation 'rho_l'... -INFO:sparging.inputs:Found Quantity for required node 'temperature' in graph: 6.000e+02 °C -INFO:sparging.inputs:Resolving argument 'rho_g' for correlation 'drho'... -INFO:sparging.inputs:Found default correlation for required node 'rho_g': rho_g -INFO:sparging.inputs:Resolving argument 'temperature' for correlation 'rho_g'... -INFO:sparging.inputs:Found required node 'temperature' in discovered nodes... -INFO:sparging.inputs:Resolving argument 'P_bottom' for correlation 'rho_g'... -INFO:sparging.inputs:Found default correlation for required node 'P_bottom': P_bottom -INFO:sparging.inputs:Resolving argument 'P_top' for correlation 'P_bottom'... -INFO:sparging.inputs:Found Quantity for required node 'P_top' in graph: 1.000e+00 atm -INFO:sparging.inputs:Resolving argument 'rho_l' for correlation 'P_bottom'... -INFO:sparging.inputs:Found required node 'rho_l' in discovered nodes... -INFO:sparging.inputs:Resolving argument 'height' for correlation 'P_bottom'... -INFO:sparging.inputs:Found Quantity for required node 'height' in graph: 1.000e+00 m +VERBOSE:sparging.inputs:Found default correlation for required node 'drho': drho +VERBOSE:sparging.inputs:Resolving argument 'rho_l' for correlation 'drho'... +VERBOSE:sparging.inputs:Found default correlation for required node 'rho_l': rho_l +VERBOSE:sparging.inputs:Resolving argument 'temperature' for correlation 'rho_l'... +VERBOSE:sparging.inputs:Found Quantity for required node 'temperature' in input: 6.000e+02 °C +VERBOSE:sparging.inputs:Resolving argument 'rho_g' for correlation 'drho'... +VERBOSE:sparging.inputs:Found default correlation for required node 'rho_g': rho_g +VERBOSE:sparging.inputs:Resolving argument 'temperature' for correlation 'rho_g'... +VERBOSE:sparging.inputs:Found required node 'temperature' in discovered nodes... +VERBOSE:sparging.inputs:Resolving argument 'P_bottom' for correlation 'rho_g'... +VERBOSE:sparging.inputs:Found default correlation for required node 'P_bottom': P_bottom +VERBOSE:sparging.inputs:Resolving argument 'P_top' for correlation 'P_bottom'... +VERBOSE:sparging.inputs:Found Quantity for required node 'P_top' in input: 1.000e+00 atm +VERBOSE:sparging.inputs:Resolving argument 'rho_l' for correlation 'P_bottom'... +VERBOSE:sparging.inputs:Found required node 'rho_l' in discovered nodes... +VERBOSE:sparging.inputs:Resolving argument 'height' for correlation 'P_bottom'... +VERBOSE:sparging.inputs:Found Quantity for required node 'height' in input: 1.000e+00 m diff --git a/test/test_simulation_input.py b/test/test_simulation_input.py index 86eb38d..daaa040 100644 --- a/test/test_simulation_input.py +++ b/test/test_simulation_input.py @@ -16,6 +16,7 @@ import difflib import logging from pathlib import Path +import networkx as nx # define standard LIBRA input parameters to be used in multiple tests geom = ColumnGeometry( @@ -85,19 +86,22 @@ def test_find_in_graph_logging(tmp_path): """ Test that the `find_in_graph` function logs the expected output when searching for a parameter in the graph. """ + from sparging.config import VERBOSE_LEVEL + # BUILD reference_log_path = Path(__file__).with_name("test_find_in_graph.reference.log") generated_log_path = Path(tmp_path).joinpath("test_find_in_graph.generated.log") logging.basicConfig( - level=logging.INFO, + level=VERBOSE_LEVEL, format="%(levelname)s:%(name)s:%(message)s", handlers=[logging.FileHandler(generated_log_path, mode="w")], force=True, # reset handlers so pytest/previous tests don't interfere ) # RUN - find_in_graph("drho", {}, [geom, flibe, operating_params, sparging_params]) + empty_graph = nx.Graph() + find_in_graph("drho", empty_graph, [geom, flibe, operating_params, sparging_params]) # TEST logging.shutdown() @@ -132,31 +136,31 @@ def test_find_in_graph_result(in_discovered: bool): function can handle both scenarios correctly. """ # BUILD - discovered_nodes = {} + discovered_graph = nx.Graph() if in_discovered: - discovered_nodes["flow_g_vol"] = 0.01 * ureg.m**3 / ureg.s + discovered_graph.add_node("flow_g_vol", value=0.01 * ureg.m**3 / ureg.s) # RUN find_in_graph( "d_b", - discovered_nodes=discovered_nodes, + discovered_graph=discovered_graph, input_objs=[geom, operating_params], ) # TEST - assert "d_b" in discovered_nodes, "Expected to find d_b in graph" + assert "d_b" in discovered_graph, "Expected to find d_b in graph" correlation = sparging.all_correlations("d_b") - flow_g_vol = discovered_nodes.get("flow_g_vol") + flow_g_vol = discovered_graph.nodes["flow_g_vol"]["value"] expected_value = correlation( flow_g_vol=flow_g_vol, nozzle_diameter=geom.nozzle_diameter, nb_nozzle=geom.nb_nozzle, ) - assert discovered_nodes["d_b"] == expected_value, ( - f"Expected d_b to be {expected_value}, got {discovered_nodes['d_b']}" + assert discovered_graph.nodes["d_b"]["value"] == expected_value, ( + f"Expected d_b to be {expected_value}, got {discovered_graph.nodes['d_b']['value']}" ) @@ -168,6 +172,7 @@ def test_find_in_graph_unresolvable(missing_param: str): # BUILD broken_geom = dataclasses.replace(geom) broken_op_params = dataclasses.replace(operating_params) + empty_graph = nx.Graph() to_find = str() match missing_param: case "nb_nozzle": @@ -177,7 +182,7 @@ def test_find_in_graph_unresolvable(missing_param: str): to_find = "d_b" setattr(broken_op_params, missing_param, None) case "n_gen_rate": - to_find = "source_T" + to_find = "Q_T" setattr(broken_op_params, missing_param, None) # RUN with pytest.raises( @@ -186,7 +191,7 @@ def test_find_in_graph_unresolvable(missing_param: str): ): find_in_graph( to_find, - discovered_nodes={}, # no discovered nodes provided + discovered_graph=empty_graph, input_objs=[ broken_geom, broken_op_params, @@ -272,7 +277,8 @@ def test_correlation_group(): def test_correlation(): """ Test Correlation raises an error when: - - providing wrong input (missing arguments/wrong dimensionality)""" + - providing wrong input (missing arguments/wrong dimensionality) + """ # BUILD my_corr_obj = Correlation( @@ -287,7 +293,7 @@ def test_correlation(): # RUN assert isinstance(my_corr_obj(a=5 * ureg.m, b=None), ureg.Quantity), ( "Expected a pint.Quantity as output" - ) # should work + ) with pytest.raises(ValueError, match="expected a pint.Quantity"): my_corr_obj(a=5, b=None) # wrong input type, should be a pint.Quantity From e6f1328a7c163113f25e156aafb688600894615f Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 12 May 2026 12:17:18 -0400 Subject: [PATCH 117/121] fixed test_simulation_results() so that it fails when it should fail --- test/test_simulation_results.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/test/test_simulation_results.py b/test/test_simulation_results.py index 1abacab..a2e3973 100644 --- a/test/test_simulation_results.py +++ b/test/test_simulation_results.py @@ -46,8 +46,10 @@ def test_simulation_results_serialization(tmp_path): "JSON c_T2_solutions arrays have different lengths" ) - assert np.allclose(res.times, new_res_json.times), "JSON Times arrays are not close" - assert np.allclose(res.c_T2_solutions, new_res_json.c_T2_solutions), ( + assert np.allclose(res.times, new_res_json.times, atol=0), ( + "JSON Times arrays are not close" + ) + assert np.allclose(res.c_T2_solutions, new_res_json.c_T2_solutions, atol=0), ( "JSON c_T2_solutions arrays are not close" ) @@ -57,9 +59,9 @@ def test_simulation_results_serialization(tmp_path): assert len(res.c_T2_solutions) == len(new_res_pickle.c_T2_solutions), ( "Pickle c_T2_solutions arrays have different lengths" ) - assert np.allclose(res.times, new_res_pickle.times), ( + assert np.allclose(res.times, new_res_pickle.times, atol=0), ( "Pickle Times arrays are not close" ) - assert np.allclose(res.c_T2_solutions, new_res_pickle.c_T2_solutions), ( + assert np.allclose(res.c_T2_solutions, new_res_pickle.c_T2_solutions, atol=0), ( "Pickle c_T2_solutions arrays are not close" ) From 3435139230b80855f18ca3e618664744f7346496 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 12 May 2026 13:58:24 -0400 Subject: [PATCH 118/121] fixed test_solve() --- test/test_solve.py | 107 +++++++++++++++++++-------------------------- 1 file changed, 46 insertions(+), 61 deletions(-) diff --git a/test/test_solve.py b/test/test_solve.py index 963fdd4..665c5f5 100644 --- a/test/test_solve.py +++ b/test/test_solve.py @@ -7,32 +7,37 @@ import numpy as np -standard_input = SimulationInput( - height=1.0 * ureg.m, - area=0.2 * ureg.m**2, - u_g0=0.25 * ureg("m/s"), - temperature=600 * ureg.celsius, - a=0.5 * ureg("1/m"), - h_l=3e-5 * ureg("m/s"), - rho_l=2000 * ureg("kg/m^3"), - K_s=1e-4 * ureg("mol/m**3/Pa"), - P_bottom=1.2 * ureg.bar, - eps_g=0.001 * ureg.dimensionless, - E_g=1e-2 * ureg("m^2/s"), - E_l=1e-1 * ureg("m^2/s"), - D_l=3e-9 * ureg("m^2/s"), - Q_T=1e8 * ureg("T/s"), -) +def get_standard_input(): + my_input = SimulationInput( + height=1.0 * ureg.m, + area=0.2 * ureg.m**2, + u_g0=0.25 * ureg("m/s"), + temperature=600 * ureg.celsius, + a=0.5 * ureg("1/m"), + h_l=3e-5 * ureg("m/s"), + rho_l=2000 * ureg("kg/m^3"), + K_s=1e-4 * ureg("mol/m**3/Pa"), + P_bottom=1.2 * ureg.bar, + eps_g=0.001 * ureg.dimensionless, + E_g=1e-2 * ureg("m^2/s"), + E_l=1e-1 * ureg("m^2/s"), + D_l=3e-9 * ureg("m^2/s"), + Q_T=1e8 * ureg("T/s"), + ) + my_input.signal_irr = lambda t: 1 if t > 1 * ureg.hour and t < 3 * ureg.hour else 0 + my_input.signal_sparging = lambda t: 1 + return my_input + + +@pytest.fixture +def standard_input(): + return get_standard_input() @pytest.fixture def standard_simulation(): - return Simulation( - standard_input, - t_final=6 * ureg.hours, - signal_irr=lambda t: 1 if t > 1 * ureg.hour and t < 3 * ureg.hour else 0, - signal_sparging=lambda t: 1, - ) + my_input = get_standard_input() # can't use standard_input fixture + return Simulation(my_input, t_final=6 * ureg.hours) def test_model_solve_successfull(tmp_path, standard_simulation): @@ -54,9 +59,7 @@ def test_model_solve_missing_input(standard_simulation): Tests SimulationInput raises error when a required input quantity is missing. """ # BUILD - broken_input = dataclasses.replace(standard_input) - del broken_input.u_g0 # missing required parameter - standard_simulation.sim_input = broken_input + del standard_simulation.sim_input.u_g0 # missing required parameter # TEST with pytest.raises( @@ -70,10 +73,7 @@ def test_model_solve_wrong_input(standard_simulation): Tests Simulation.solve() raises error when required input has wrong dimensionality """ # BUILD - broken_input = dataclasses.replace( - standard_input, u_g0=3 * ureg("m^2/s") - ) # wrong units - standard_simulation.sim_input = broken_input + standard_simulation.sim_input.u_g0 = 3 * ureg("m^2/s") # TEST with pytest.raises(DimensionalityError, match="Cannot convert from"): @@ -89,50 +89,35 @@ def test_model_solve_wrong_argument(standard_simulation): @pytest.mark.parametrize("case", ("nominal", "volume_change", "unormalized_profile")) -def test_source_T_normalization(case): +def test_source_T_normalization(case, standard_input): """Tests that the source term is correctly normalized so that the total inventory after a fixed time is always the same no matter the volume or the given profile function.""" - Q_T = standard_input.Q_T - t_final = 50 * ureg.seconds + my_input = standard_input + my_input.signal_irr = lambda t: 1 + my_input.signal_sparging = lambda t: 0 # BUILD match case: case "nominal": - my_simulation = Simulation( - standard_input, - t_final=t_final, - signal_irr=lambda t: 1, - signal_sparging=lambda t: 0, - ) + pass case "volume_change": - modified_input = dataclasses.replace( - standard_input, - height=23.2 * standard_input.height, - area=0.123 * standard_input.area, - ) - my_simulation = Simulation( - modified_input, - t_final=t_final, - signal_irr=lambda t: 1, - signal_sparging=lambda t: 0, + my_input = dataclasses.replace( + my_input, + height=1.1 * standard_input.height, + area=1.01 * standard_input.area, ) case "unormalized_profile": - my_simulation = Simulation( - standard_input, - t_final=t_final, - signal_irr=lambda t: 1, - signal_sparging=lambda t: 0, - profile_source_T=lambda xi: 3 + xi, # not normalized - ) + my_input.profile_source_T = lambda xi: 3 + 3 * xi # not normalized + + t_final = 50 * ureg.seconds + my_simulation = Simulation(my_input, t_final=t_final) + # RUN output = my_simulation.solve(fast_solve=True) # TEST + Q_T = standard_input.Q_T n_result = ureg.Quantity(output.inventories_T2_salt[-1], "molT2").magnitude - # n_theory = (Q_T * ureg.Quantity(output.times[-1], "s")).to("molT2").magnitude # TODO change to this n_theory = (Q_T * t_final).to("molT2").magnitude - # print(len(output.times), len(output.inventories_T2_salt)) - # print(output.times[0], output.inventories_T2_salt[0]) - # print(output.times[-1], output.inventories_T2_salt[-1]) assert np.isclose(n_result, n_theory, atol=0, rtol=1e-2), print( - f"n_result = {n_result}, n_theory = {n_theory}" - ) # TODO reduce tolerance when vectors initialization with zero is fixed + f"n_result = {n_result}, should be n_theory = {n_theory}" + ) From 5c5f9504e8399efb2d0d8e59a13e4068b9acee90 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 12 May 2026 14:41:09 -0400 Subject: [PATCH 119/121] exposed objects in API --- examples/sparging_LIBRA1L.py | 8 +------- src/sparging/__init__.py | 17 +++++++++++++++++ 2 files changed, 18 insertions(+), 7 deletions(-) diff --git a/examples/sparging_LIBRA1L.py b/examples/sparging_LIBRA1L.py index 1872957..27c7a43 100644 --- a/examples/sparging_LIBRA1L.py +++ b/examples/sparging_LIBRA1L.py @@ -1,10 +1,4 @@ -from sparging.config import ureg -from sparging import all_correlations -from sparging import animation -from sparging.model import Simulation -from sparging.inputs import ( - get_sim_input_LIBRA1L, -) +from sparging import get_sim_input_LIBRA1L, Simulation, ureg, animation import logging from typing import TYPE_CHECKING diff --git a/src/sparging/__init__.py b/src/sparging/__init__.py index fd03b56..3420c74 100644 --- a/src/sparging/__init__.py +++ b/src/sparging/__init__.py @@ -4,8 +4,24 @@ from .config import ureg, const_R, const_g from .model import SimulationResults +from .inputs import ( + ColumnGeometry, + BreederMaterial, + OperatingParameters, + SpargingParameters, + SimulationInput, +) +from .model import Simulation from .animation import ConcentrationAnimator from .correlations import all_correlations, CorrelationGroup, Correlation +from .input_examples import ( + get_sim_input_LIBRA1L, + get_sim_input_standard, + LIBRA_PI_GEOM, + LIBRA_PI_MAT, + LIBRA_PI_OPERATING_PARAMS, + LIBRA_PI_SPARGING_PARAMS, +) __all__ = [ "SimulationInput", @@ -14,4 +30,5 @@ "ureg", "const_R", "const_g", + "Simulation", ] From b3219989566c38a62845940df0fa5cf1daf1c71a Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 12 May 2026 14:42:22 -0400 Subject: [PATCH 120/121] moved experiment specific inputs to input_examples.py --- examples/sparging101.py | 1 - src/sparging/input_examples.py | 114 ++++++++++++++ src/sparging/inputs.py | 263 ++++++++++++--------------------- src/sparging/postprocess.py | 9 -- 4 files changed, 209 insertions(+), 178 deletions(-) create mode 100644 src/sparging/input_examples.py diff --git a/examples/sparging101.py b/examples/sparging101.py index a86f7ff..a7ae72b 100644 --- a/examples/sparging101.py +++ b/examples/sparging101.py @@ -19,7 +19,6 @@ my_input = get_sim_input_standard() -# my_input = get_sim_input(librapi_input_dict) print(my_input.get_S_T()) print(f"{my_input.Q_T.to('molT/s')} = {my_input.Q_T.to('molT2/hour')}") diff --git a/src/sparging/input_examples.py b/src/sparging/input_examples.py new file mode 100644 index 0000000..6a3efa7 --- /dev/null +++ b/src/sparging/input_examples.py @@ -0,0 +1,114 @@ +from __future__ import annotations +from sparging.inputs import ( + ColumnGeometry, + BreederMaterial, + OperatingParameters, + SpargingParameters, + SimulationInput, +) +from sparging.config import ureg +from sparging.correlations import all_correlations +import logging +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + import pint + +logger = logging.getLogger(__name__) + + +def get_sim_input_LIBRA1L() -> tuple[SimulationInput, pint.Quantity]: + """Returns the SimulationInput for the LIBRA 1L experiment, and the irradiation time (t_irr) to be used in the signal_irr function. + The irradiation time is calculated based on the neutron fluence and generation rate reported in the LIBRA 1L paper.""" + geom = ColumnGeometry( + area=170 * ureg.cm**2, + height=7 * ureg.cm, + nozzle_diameter=1.4 * ureg.mm, + nb_nozzle=1 * ureg.dimensionless, + ) + + flibe = BreederMaterial( + name="FLiBe", + ) + + operating_params = OperatingParameters( + temperature=600 * ureg.celsius, + P_top=1 * ureg.atm, + flow_g_mol=40 * ureg.sccm, + tbr=2e-3 * ureg("triton / neutron"), # according to LIBRA 1L paper + n_gen_rate=1e9 * ureg("neutron / s"), + ) + + sparging_params = SpargingParameters( + h_l=all_correlations("h_l_briggs"), + ) + + libra_1L = SimulationInput.from_parameters( + geom, flibe, operating_params, sparging_params + ) + logger.info(libra_1L) + + n_fluence = 2.5e13 * ureg("neutron") + n_gen_rate = operating_params.n_gen_rate + t_irr = n_fluence / n_gen_rate + + libra_1L.signal_irr = lambda t: 1 if t <= t_irr else 0 + + return (libra_1L, t_irr) + + +def get_sim_input_standard() -> SimulationInput: + """Returns a standard SimulationInput that can be used for testing and tutorials. + The parameters are not based on any specific experiment, but are chosen to be representative of a typical sparging system.""" + geom = ColumnGeometry( + area=0.2 * ureg.m**2, + height=1 * ureg.m, + nozzle_diameter=0.001 * ureg.m, + nb_nozzle=10 * ureg.dimensionless, + ) + + flibe = BreederMaterial( + name="FLiBe", + ) + + operating_params = OperatingParameters( + temperature=600 * ureg.celsius, + P_top=1 * ureg.atm, + flow_g_mol=400 * ureg.sccm, + tbr=0.1 * ureg("triton / neutron"), + n_gen_rate=1e9 * ureg("neutron / s"), + ) + + sparging_params = SpargingParameters( + h_l=all_correlations("h_l_briggs"), + ) + + my_input = SimulationInput.from_parameters( + geom, flibe, operating_params, sparging_params + ) + logger.info(my_input) + return my_input + + +LIBRA_PI_GEOM = ColumnGeometry( + area=0.2 * ureg.m**2, + height=1 * ureg.m, + nozzle_diameter=1.5 * ureg.mm, + nb_nozzle=5 * ureg.dimensionless, +) + +LIBRA_PI_MAT = BreederMaterial( + name="FLiBe", +) + +LIBRA_PI_OPERATING_PARAMS = OperatingParameters( + temperature=550 * ureg.celsius, + P_top=1.2 * ureg.atm, + flow_g_mol=400 * ureg.sccm, + tbr=0.1 * ureg("triton / neutron"), + n_gen_rate=1e9 * ureg("neutron / s"), +) + +LIBRA_PI_SPARGING_PARAMS = SpargingParameters( + h_l=all_correlations("h_l_briggs"), +) diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index 2ed0779..a601f2d 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -8,7 +8,6 @@ import logging from sparging.config import ureg, const_R from collections.abc import Callable -from types import MappingProxyType import networkx as nx @@ -328,170 +327,98 @@ def resolve_correlation( return corr(**{arg: discovered_graph.nodes[arg]["value"] for arg in corr_args}) -def get_sim_input_LIBRA_Pi() -> SimulationInput: - """Returns the SimulationInput for the LIBRA Pi experiment - Geometry and operating parameters are plausible values that should be representative of the final LIBRA Pi experiment""" - geom = ColumnGeometry( - area=0.2 * ureg.m**2, # 1/4 * pi * (0.5m)^2 - height=1 * ureg.m, - nozzle_diameter=1.4 * ureg.mm, - nb_nozzle=5 * ureg.dimensionless, - ) - - flibe = BreederMaterial( - name="FLiBe", - ) - - operating_params = OperatingParameters( - temperature=500 * ureg.celsius, - P_top=1 * ureg.atm, - flow_g_mol=100 * ureg.sccm, - tbr=0.1 * ureg("triton / neutron"), - n_gen_rate=1e9 * ureg("neutron / s"), - ) - - sparging_params = SpargingParameters( - h_l=all_correlations("h_l_briggs"), - ) - - libra_pi = SimulationInput.from_parameters( - geom, flibe, operating_params, sparging_params - ) - logger.info(libra_pi) - - return libra_pi - - -def get_sim_input_LIBRA1L() -> tuple[SimulationInput, pint.Quantity]: - """Returns the SimulationInput for the LIBRA 1L experiment, and the irradiation time (t_irr) to be used in the signal_irr function. - The irradiation time is calculated based on the neutron fluence and generation rate reported in the LIBRA 1L paper.""" - geom = ColumnGeometry( - area=170 * ureg.cm**2, - height=7 * ureg.cm, - nozzle_diameter=1.4 * ureg.mm, - nb_nozzle=1 * ureg.dimensionless, - ) - - flibe = BreederMaterial( - name="FLiBe", - ) - - operating_params = OperatingParameters( - temperature=600 * ureg.celsius, - P_top=1 * ureg.atm, - flow_g_mol=40 * ureg.sccm, - tbr=2e-3 * ureg("triton / neutron"), # according to LIBRA 1L paper - n_gen_rate=1e9 * ureg("neutron / s"), - ) - - sparging_params = SpargingParameters( - h_l=all_correlations("h_l_briggs"), - ) - - libra_1L = SimulationInput.from_parameters( - geom, flibe, operating_params, sparging_params - ) - logger.info(libra_1L) - - n_fluence = 2.5e13 * ureg("neutron") - n_gen_rate = operating_params.n_gen_rate - t_irr = n_fluence / n_gen_rate - - libra_1L.signal_irr = lambda t: 1 if t <= t_irr else 0 - - return (libra_1L, t_irr) - - -def get_sim_input_standard() -> SimulationInput: - """Returns a standard SimulationInput that can be used for testing and tutorials. - The parameters are not based on any specific experiment, but are chosen to be representative of a typical sparging system.""" - geom = ColumnGeometry( - area=0.2 * ureg.m**2, - height=1 * ureg.m, - nozzle_diameter=0.001 * ureg.m, - nb_nozzle=10 * ureg.dimensionless, - ) - - flibe = BreederMaterial( - name="FLiBe", - ) - - operating_params = OperatingParameters( - temperature=600 * ureg.celsius, - P_top=1 * ureg.atm, - flow_g_mol=400 * ureg.sccm, - tbr=0.1 * ureg("triton / neutron"), - n_gen_rate=1e9 * ureg("neutron / s"), - ) - - sparging_params = SpargingParameters( - h_l=all_correlations("h_l_briggs"), - ) - - my_input = SimulationInput.from_parameters( - geom, flibe, operating_params, sparging_params - ) - logger.info(my_input) - return my_input - - -# NOTE rather have only get_sim_input function and put experiment specific parameters in dictionaries - -_librapi_input_dict = { # NOTE could use a frozen dataclass, avoids external user mistyping parameters when modifying input to do parametric sweep - "name": "LIBRA Pi", - "area": 0.2 * ureg.m**2, # 1/4 * pi * (0.5m)^2 - "height": 1 * ureg.m, - "nozzle_diameter": 1.5 * ureg.mm, - "nb_nozzle": 5 * ureg.dimensionless, - "temperature": 550 * ureg.celsius, - "P_top": 1.2 * ureg.atm, - "flow_g_mol": 400 * ureg.sccm, - "tbr": 0.1 * ureg("triton / neutron"), - "n_gen_rate": 1e9 * ureg("neutron / s"), - "material": "FLiBe", -} -librapi_input_dict = MappingProxyType(_librapi_input_dict) # make it immutable - - -# NOTE potentially we could make sure it's immutable with something like this -# class PresetInputs: -# def __init__(self, name: str): -# self.name = name - - -# class LIBRA_Pi_Input(PresetInputs): -# @property -# def geometry(self): -# return ColumnGeometry( -# area=0.2 * ureg.m**2, # 1/4 * pi * (0.5m)^2 -# height=1 * ureg.m, -# nozzle_diameter=1.4 * ureg.mm, -# nb_nozzle=5 * ureg.dimensionless, -# ) - - -# new_geometry = LIBRA_Pi_Input.geometry - - -LIBRA_PI_GEOM = ColumnGeometry( - area=_librapi_input_dict["area"], - height=_librapi_input_dict["height"], - nozzle_diameter=_librapi_input_dict["nozzle_diameter"], - nb_nozzle=_librapi_input_dict["nb_nozzle"], -) - -LIBRA_PI_MAT = BreederMaterial( - name=_librapi_input_dict["material"], -) - -LIBRA_PI_OPERATING_PARAMS = OperatingParameters( - temperature=_librapi_input_dict["temperature"], - P_top=_librapi_input_dict["P_top"], - flow_g_mol=_librapi_input_dict["flow_g_mol"], - tbr=_librapi_input_dict["tbr"], - n_gen_rate=_librapi_input_dict["n_gen_rate"], -) - -LIBRA_PI_SPARGING_PARAMS = SpargingParameters( - h_l=all_correlations("h_l_briggs"), -) +# def get_sim_input_LIBRA1L() -> tuple[SimulationInput, pint.Quantity]: +# """Returns the SimulationInput for the LIBRA 1L experiment, and the irradiation time (t_irr) to be used in the signal_irr function. +# The irradiation time is calculated based on the neutron fluence and generation rate reported in the LIBRA 1L paper.""" +# geom = ColumnGeometry( +# area=170 * ureg.cm**2, +# height=7 * ureg.cm, +# nozzle_diameter=1.4 * ureg.mm, +# nb_nozzle=1 * ureg.dimensionless, +# ) + +# flibe = BreederMaterial( +# name="FLiBe", +# ) + +# operating_params = OperatingParameters( +# temperature=600 * ureg.celsius, +# P_top=1 * ureg.atm, +# flow_g_mol=40 * ureg.sccm, +# tbr=2e-3 * ureg("triton / neutron"), # according to LIBRA 1L paper +# n_gen_rate=1e9 * ureg("neutron / s"), +# ) + +# sparging_params = SpargingParameters( +# h_l=all_correlations("h_l_briggs"), +# ) + +# libra_1L = SimulationInput.from_parameters( +# geom, flibe, operating_params, sparging_params +# ) +# logger.info(libra_1L) + +# n_fluence = 2.5e13 * ureg("neutron") +# n_gen_rate = operating_params.n_gen_rate +# t_irr = n_fluence / n_gen_rate + +# libra_1L.signal_irr = lambda t: 1 if t <= t_irr else 0 + +# return (libra_1L, t_irr) + + +# def get_sim_input_standard() -> SimulationInput: +# """Returns a standard SimulationInput that can be used for testing and tutorials. +# The parameters are not based on any specific experiment, but are chosen to be representative of a typical sparging system.""" +# geom = ColumnGeometry( +# area=0.2 * ureg.m**2, +# height=1 * ureg.m, +# nozzle_diameter=0.001 * ureg.m, +# nb_nozzle=10 * ureg.dimensionless, +# ) + +# flibe = BreederMaterial( +# name="FLiBe", +# ) + +# operating_params = OperatingParameters( +# temperature=600 * ureg.celsius, +# P_top=1 * ureg.atm, +# flow_g_mol=400 * ureg.sccm, +# tbr=0.1 * ureg("triton / neutron"), +# n_gen_rate=1e9 * ureg("neutron / s"), +# ) + +# sparging_params = SpargingParameters( +# h_l=all_correlations("h_l_briggs"), +# ) + +# my_input = SimulationInput.from_parameters( +# geom, flibe, operating_params, sparging_params +# ) +# logger.info(my_input) +# return my_input + + +# LIBRA_PI_GEOM = ColumnGeometry( +# area=0.2 * ureg.m**2, +# height=1 * ureg.m, +# nozzle_diameter=1.5 * ureg.mm, +# nb_nozzle=5 * ureg.dimensionless, +# ) + +# LIBRA_PI_MAT = BreederMaterial( +# name="FLiBe", +# ) + +# LIBRA_PI_OPERATING_PARAMS = OperatingParameters( +# temperature=550 * ureg.celsius, +# P_top=1.2 * ureg.atm, +# flow_g_mol=400 * ureg.sccm, +# tbr=0.1 * ureg("triton / neutron"), +# n_gen_rate=1e9 * ureg("neutron / s"), +# ) + +# LIBRA_PI_SPARGING_PARAMS = SpargingParameters( +# h_l=all_correlations("h_l_briggs"), +# ) diff --git a/src/sparging/postprocess.py b/src/sparging/postprocess.py index a89244a..c041047 100644 --- a/src/sparging/postprocess.py +++ b/src/sparging/postprocess.py @@ -44,15 +44,6 @@ def plot_profile( ) -# TODO remove -# def plot_signal(sim_output: SimulationResults, ax: plt.Axes, var_name: str, **kwargs): -# ax.plot(sim_output.times, getattr(sim_output, var_name), **kwargs) -# # ax.set_xlabel(r"t [s]") -# # ax.set_ylabel(var_name) # TODO leverage pint for units -# # ax.set_title(var_name + " profile") -# # ax.grid() - - def get_residual_fraction( T2_inventories: np.ndarray[pint.Quantity], times: np.ndarray[pint.Quantity], From 7483c37f031d1986c608bffd32f68c622f1a3952 Mon Sep 17 00:00:00 2001 From: hmonroedd Date: Tue, 12 May 2026 15:11:34 -0400 Subject: [PATCH 121/121] adapted external files to the API + add visualize_graph.py to the examples --- examples/LL_sensitivity.py | 11 +-- examples/Sparging_UQ.py | 13 +-- examples/sensitivity.py | 10 +- examples/sparging101.py | 11 +-- examples/sparging_LIBRA_Pi.py | 11 +-- test_graph.py => examples/visualize_graph.py | 37 +++----- src/sparging/__init__.py | 9 +- src/sparging/inputs.py | 97 -------------------- test/test_simulation_results.py | 5 +- 9 files changed, 40 insertions(+), 164 deletions(-) rename test_graph.py => examples/visualize_graph.py (51%) diff --git a/examples/LL_sensitivity.py b/examples/LL_sensitivity.py index 690812a..ef9c0b5 100644 --- a/examples/LL_sensitivity.py +++ b/examples/LL_sensitivity.py @@ -1,22 +1,19 @@ from datetime import datetime from pathlib import Path - -from sparging.inputs import ( +from sparging import ( LIBRA_PI_GEOM, LIBRA_PI_MAT, LIBRA_PI_OPERATING_PARAMS, LIBRA_PI_SPARGING_PARAMS, SimulationInput, + ureg, + all_correlations, + CorrelationType, ) -from sparging.config import ureg -from sparging.correlations import all_correlations, CorrelationType - import logging - from autoemulate.simulations.base import Simulator from autoemulate import AutoEmulate from autoemulate.core.sensitivity_analysis import SensitivityAnalysis - import torch import pandas as pd import json diff --git a/examples/Sparging_UQ.py b/examples/Sparging_UQ.py index 92213fb..e38b2f2 100644 --- a/examples/Sparging_UQ.py +++ b/examples/Sparging_UQ.py @@ -1,23 +1,18 @@ from datetime import datetime from pathlib import Path -from sparging.inputs import ( +from sparging import ( LIBRA_PI_GEOM, LIBRA_PI_MAT, LIBRA_PI_OPERATING_PARAMS, LIBRA_PI_SPARGING_PARAMS, SimulationInput, + ureg, + all_correlations, + CorrelationType, ) -from sparging.config import ureg -from sparging.correlations import all_correlations, CorrelationType import logging - -from autoemulate.simulations.base import Simulator -from autoemulate import AutoEmulate -from autoemulate.core.sensitivity_analysis import SensitivityAnalysis - -import torch import pandas as pd import json import networkx as nx diff --git a/examples/sensitivity.py b/examples/sensitivity.py index f19576c..23ec23c 100644 --- a/examples/sensitivity.py +++ b/examples/sensitivity.py @@ -1,20 +1,18 @@ from datetime import datetime from pathlib import Path -from sparging.inputs import ( +from sparging import ( LIBRA_PI_GEOM, LIBRA_PI_MAT, LIBRA_PI_OPERATING_PARAMS, LIBRA_PI_SPARGING_PARAMS, SimulationInput, + Simulation, + ureg, ) -from sparging.model import Simulation, SimulationResults -from sparging.config import ureg +import sparging.postprocess as pp import logging -from dataclasses import replace -import matplotlib.pyplot as plt -import sparging.postprocess as pp import numpy as np from autoemulate.simulations.base import Simulator diff --git a/examples/sparging101.py b/examples/sparging101.py index a7ae72b..90a8a65 100644 --- a/examples/sparging101.py +++ b/examples/sparging101.py @@ -1,11 +1,5 @@ from __future__ import annotations -from sparging.config import ureg -from sparging import all_correlations -from sparging import animation -from sparging.model import Simulation -from sparging.inputs import ( - get_sim_input_standard, -) +from sparging import get_sim_input_standard, Simulation, ureg, animation import sparging.postprocess as pp import logging from typing import TYPE_CHECKING @@ -34,8 +28,6 @@ def profile_source_T(z: pint.Quantity | list[float], height: pint.Quantity = None): - import numpy as np - if isinstance(z, (float, np.ndarray, list)): # non-dimensional height (0 to 1) # return np.pi / 2 * np.sin(np.pi * z) # normalized return 1 + 1 * np.sin(np.pi * z) # not normalized @@ -63,7 +55,6 @@ def profile_source_T(z: pint.Quantity | list[float], height: pint.Quantity = Non # my_simulation.sim_input.E_g *= 1e5 # my_simulation.sim_input.E_l *= 1e-5 output = my_simulation.solve(fast_solve=True) - output.to_json("temp.json") popt, pcov = pp.fit_exp( output.inventories_T2_salt, output.times, 0 * ureg.s, t_irr, phase="rampup" ) diff --git a/examples/sparging_LIBRA_Pi.py b/examples/sparging_LIBRA_Pi.py index 32a1353..2a96437 100644 --- a/examples/sparging_LIBRA_Pi.py +++ b/examples/sparging_LIBRA_Pi.py @@ -1,13 +1,12 @@ -from sparging.config import ureg -from sparging import all_correlations -from sparging import animation -from sparging.model import Simulation -from sparging.inputs import ( +from sparging import ( LIBRA_PI_GEOM, LIBRA_PI_MAT, LIBRA_PI_OPERATING_PARAMS, LIBRA_PI_SPARGING_PARAMS, SimulationInput, + ureg, + Simulation, + animation, ) import logging from typing import TYPE_CHECKING @@ -38,7 +37,7 @@ if __name__ == "__main__": output = my_simulation.solve() - output.to_json("libra_pi_output_700C.json") + # output.to_json("libra_pi_output_700C.json") # # save output to file # output.profiles_to_csv(f"output_{tank_height}m.csv") diff --git a/test_graph.py b/examples/visualize_graph.py similarity index 51% rename from test_graph.py rename to examples/visualize_graph.py index 6d4cacf..f4d0e68 100644 --- a/test_graph.py +++ b/examples/visualize_graph.py @@ -1,14 +1,14 @@ -from sparging.inputs import ( - ColumnGeometry, +"""Construct a standard input and visualize the dependency graph""" + +from sparging import ( + LIBRA_PI_GEOM, BreederMaterial, - OperatingParameters, + LIBRA_PI_OPERATING_PARAMS, SpargingParameters, - find_in_graph, - check_input, SimulationInput, + all_correlations, + VERBOSE_LEVEL, ) -from sparging import all_correlations, ureg -from sparging.config import VERBOSE_LEVEL import networkx as nx from pyvis.network import Network import logging @@ -16,35 +16,21 @@ logger = logging.getLogger(__name__) logging.basicConfig(level=VERBOSE_LEVEL) -geom = ColumnGeometry( - area=0.2 * ureg.m**2, - height=1.0 * ureg.m, - nozzle_diameter=0.001 * ureg.m, - nb_nozzle=10 * ureg.dimensionless, -) +# construct helper objects +geom = LIBRA_PI_GEOM flibe = BreederMaterial( name="FLiBe", ) -operating_params = OperatingParameters( - temperature=600 * ureg.celsius, - P_top=1 * ureg.atm, - flow_g_mol=400 * ureg.sccm, - tbr=0.1 * ureg("triton / neutron"), - n_gen_rate=1e9 * ureg("neutron / s"), -) +operating_params = LIBRA_PI_OPERATING_PARAMS sparging_params = SpargingParameters( h_l=all_correlations("h_l_briggs"), ) +# construct input from helper objects graph = nx.Graph() -# find_in_graph("drho", graph, [geom, flibe, operating_params, sparging_params]) - -# print("Nodes in graph:") -# for node in graph.nodes(data=True): -# print(node) my_input = SimulationInput.from_parameters( column_geometry=geom, @@ -54,6 +40,7 @@ graph=graph, ) +# print and visualize graph for node in graph.nodes: graph.nodes[node]["value"] = str(graph.nodes[node]["value"]) print(graph.nodes[node]) diff --git a/src/sparging/__init__.py b/src/sparging/__init__.py index 3420c74..157f36f 100644 --- a/src/sparging/__init__.py +++ b/src/sparging/__init__.py @@ -2,7 +2,7 @@ libra_sparging: A finite element model for sparging processes using FEniCSx/DOLFINX. """ -from .config import ureg, const_R, const_g +from .config import ureg, const_R, const_g, VERBOSE_LEVEL from .model import SimulationResults from .inputs import ( ColumnGeometry, @@ -13,7 +13,12 @@ ) from .model import Simulation from .animation import ConcentrationAnimator -from .correlations import all_correlations, CorrelationGroup, Correlation +from .correlations import ( + all_correlations, + CorrelationGroup, + Correlation, + CorrelationType, +) from .input_examples import ( get_sim_input_LIBRA1L, get_sim_input_standard, diff --git a/src/sparging/inputs.py b/src/sparging/inputs.py index a601f2d..3e3834c 100644 --- a/src/sparging/inputs.py +++ b/src/sparging/inputs.py @@ -325,100 +325,3 @@ def resolve_correlation( ) return corr(**{arg: discovered_graph.nodes[arg]["value"] for arg in corr_args}) - - -# def get_sim_input_LIBRA1L() -> tuple[SimulationInput, pint.Quantity]: -# """Returns the SimulationInput for the LIBRA 1L experiment, and the irradiation time (t_irr) to be used in the signal_irr function. -# The irradiation time is calculated based on the neutron fluence and generation rate reported in the LIBRA 1L paper.""" -# geom = ColumnGeometry( -# area=170 * ureg.cm**2, -# height=7 * ureg.cm, -# nozzle_diameter=1.4 * ureg.mm, -# nb_nozzle=1 * ureg.dimensionless, -# ) - -# flibe = BreederMaterial( -# name="FLiBe", -# ) - -# operating_params = OperatingParameters( -# temperature=600 * ureg.celsius, -# P_top=1 * ureg.atm, -# flow_g_mol=40 * ureg.sccm, -# tbr=2e-3 * ureg("triton / neutron"), # according to LIBRA 1L paper -# n_gen_rate=1e9 * ureg("neutron / s"), -# ) - -# sparging_params = SpargingParameters( -# h_l=all_correlations("h_l_briggs"), -# ) - -# libra_1L = SimulationInput.from_parameters( -# geom, flibe, operating_params, sparging_params -# ) -# logger.info(libra_1L) - -# n_fluence = 2.5e13 * ureg("neutron") -# n_gen_rate = operating_params.n_gen_rate -# t_irr = n_fluence / n_gen_rate - -# libra_1L.signal_irr = lambda t: 1 if t <= t_irr else 0 - -# return (libra_1L, t_irr) - - -# def get_sim_input_standard() -> SimulationInput: -# """Returns a standard SimulationInput that can be used for testing and tutorials. -# The parameters are not based on any specific experiment, but are chosen to be representative of a typical sparging system.""" -# geom = ColumnGeometry( -# area=0.2 * ureg.m**2, -# height=1 * ureg.m, -# nozzle_diameter=0.001 * ureg.m, -# nb_nozzle=10 * ureg.dimensionless, -# ) - -# flibe = BreederMaterial( -# name="FLiBe", -# ) - -# operating_params = OperatingParameters( -# temperature=600 * ureg.celsius, -# P_top=1 * ureg.atm, -# flow_g_mol=400 * ureg.sccm, -# tbr=0.1 * ureg("triton / neutron"), -# n_gen_rate=1e9 * ureg("neutron / s"), -# ) - -# sparging_params = SpargingParameters( -# h_l=all_correlations("h_l_briggs"), -# ) - -# my_input = SimulationInput.from_parameters( -# geom, flibe, operating_params, sparging_params -# ) -# logger.info(my_input) -# return my_input - - -# LIBRA_PI_GEOM = ColumnGeometry( -# area=0.2 * ureg.m**2, -# height=1 * ureg.m, -# nozzle_diameter=1.5 * ureg.mm, -# nb_nozzle=5 * ureg.dimensionless, -# ) - -# LIBRA_PI_MAT = BreederMaterial( -# name="FLiBe", -# ) - -# LIBRA_PI_OPERATING_PARAMS = OperatingParameters( -# temperature=550 * ureg.celsius, -# P_top=1.2 * ureg.atm, -# flow_g_mol=400 * ureg.sccm, -# tbr=0.1 * ureg("triton / neutron"), -# n_gen_rate=1e9 * ureg("neutron / s"), -# ) - -# LIBRA_PI_SPARGING_PARAMS = SpargingParameters( -# h_l=all_correlations("h_l_briggs"), -# ) diff --git a/test/test_simulation_results.py b/test/test_simulation_results.py index a2e3973..90f88ff 100644 --- a/test/test_simulation_results.py +++ b/test/test_simulation_results.py @@ -1,11 +1,12 @@ -from sparging.model import Simulation, SimulationResults -from sparging.inputs import ( +from sparging import ( LIBRA_PI_GEOM, LIBRA_PI_MAT, LIBRA_PI_OPERATING_PARAMS, LIBRA_PI_SPARGING_PARAMS, SimulationInput, ureg, + Simulation, + SimulationResults, ) import numpy as np from pathlib import Path