From 929c752a5d3d6d044c5a2881d7fe566a9054605a Mon Sep 17 00:00:00 2001 From: pawel Date: Sat, 26 Apr 2025 20:51:32 +0200 Subject: [PATCH 01/40] init --- .../Magnuszewski_et_al_2025/__init__.py | 0 .../Magnuszewski_et_al_2025/asian_option.py | 440 ++++++++++++++++++ .../Magnuszewski_et_al_2025/figs.ipynb | 372 +++++++++++++++ .../Magnuszewski_et_al_2025/monte_carlo.py | 118 +++++ 4 files changed, 930 insertions(+) create mode 100644 examples/PyMPDATA_examples/Magnuszewski_et_al_2025/__init__.py create mode 100644 examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py create mode 100644 examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb create mode 100644 examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/__init__.py b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py new file mode 100644 index 00000000..ebcbc529 --- /dev/null +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py @@ -0,0 +1,440 @@ +from abc import abstractmethod +from functools import cached_property, lru_cache +from types import SimpleNamespace + +import numba +import numpy as np +import PyMPDATA_examples.utils.financial_formulae.asian_option as asian_analytic +from PyMPDATA_examples.utils.discretisation import discretised_analytical_solution +from PyMPDATA_examples.utils.financial_formulae import ( + Bjerksund_and_Stensland_1993, + Black_Scholes_1973, +) + +from PyMPDATA import Options, ScalarField, Solver, Stepper, VectorField +from PyMPDATA.boundary_conditions import Extrapolated +from PyMPDATA.impl.enumerations import ( + ARG_FOCUS, + INNER, + META_AND_DATA_DATA, + META_AND_DATA_META, + OUTER, + SIGN_RIGHT, +) +from PyMPDATA.impl.traversals_common import make_fill_halos_loop + +OPTIONS = { + "n_iters": 3, + "infinite_gauge": False, + "nonoscillatory": True, + "divergent_flow": False, + "third_order_terms": False, + "non_zero_mu_coeff": True, +} + + +class Settings: + params = SimpleNamespace( + T=1, + sgma=0.1, + r=0.1, + K=100, + ) + + S_min = 50 + S_max = 200 + + def __init__(self, T, sgma, r, K, S_min, S_max): + self.params.T = T + self.params.sgma = sgma + self.params.r = r + self.params.K = K + self.S_min = S_min + self.S_max = S_max + + def payoff(self, A: np.ndarray, da: np.float32 = 0, variant="call"): + def call(x): + return np.maximum(0, x - self.params.K) + + def put(x): + return np.maximum(0, self.params.K - x) + + if variant == "call": + payoff_func = call + else: + payoff_func = put + + self.rh = np.linspace(A[0] - da / 2, A[-1] + da / 2, len(A) + 1) + output = discretised_analytical_solution(self.rh, payoff_func) + return output + + +_t = np.nan + + +@lru_cache() +# pylint: disable=too-many-arguments +def _make_scalar_custom( + dim, eps, ats, set_value, halo, dtype, jit_flags, data, inner_or_outer +): + @numba.njit(**jit_flags) + def impl(focus_psi, span, sign): + focus = focus_psi[0] + i = min(max(0, focus[inner_or_outer] - halo), span - 1) + if sign == SIGN_RIGHT: + # TODO: reuse the code from Extrapolated (here copy & paste!) + edg = span + halo - 1 - focus_psi[ARG_FOCUS][dim] + den = ats(*focus_psi, edg - 1) - ats(*focus_psi, edg - 2) + nom = ats(*focus_psi, edg) - ats(*focus_psi, edg - 1) + cnst = nom / den if abs(den) > eps else 0 + return max( + ats(*focus_psi, -1) + + (ats(*focus_psi, -1) - ats(*focus_psi, -2)) * cnst, + 0, + ) + return data[i] + + if dtype == complex: + + @numba.njit(**jit_flags) + def fill_halos_scalar(psi, span, sign): + return complex( + impl( + (psi[META_AND_DATA_META], psi[META_AND_DATA_DATA].real), span, sign + ), + impl( + (psi[META_AND_DATA_META], psi[META_AND_DATA_DATA].imag), span, sign + ), + ) + + else: + + @numba.njit(**jit_flags) + def fill_halos_scalar(psi, span, sign): + return impl(psi, span, sign) + + return make_fill_halos_loop(jit_flags, set_value, fill_halos_scalar) + + +class KemnaVorstBoundaryCondition(Extrapolated): + """eq. (12) in [Kemna & Vorst (1990)](TODO) but without discounting + which is embedded in the advectee definition (and applied to the initial condition) + """ + + def __init__(self, *, data_left, dim): + super().__init__(dim=dim) + self.data = tuple(data_left) + self.inner_or_outer = (INNER, OUTER)[dim] + + def make_scalar(self, indexers, halo, dtype, jit_flags, dimension_index): + return _make_scalar_custom( + self.dim, + self.eps, + indexers.ats[dimension_index], + indexers.set, + halo, + dtype, + jit_flags, + self.data, + self.inner_or_outer, + ) + + +class Simulation: + def __init__(self, settings, *, nx, ny, nt, variant="call"): + self.nx = nx + self.nt = nt + self.settings = settings + + self.ny = ny + self.dt = settings.params.T / self.nt + log_s_min = np.log(settings.S_min) + log_s_max = np.log(settings.S_max) + self.S = np.exp(np.linspace(log_s_min, log_s_max, self.nx)) + self.A, self.dy = np.linspace( + 0, settings.S_max, self.ny, retstep=True, endpoint=True + ) + self.dx = (log_s_max - log_s_min) / self.nx + # self.dy = + + self.settings = settings + self.step_number = 0 + + sigma_squared = pow(settings.params.sgma, 2) + courant_number_x = ( + -(0.5 * sigma_squared - settings.params.r) * (-self.dt) / self.dx + ) + + self.l2 = self.dx * self.dx / sigma_squared / self.dt + + self.mu_coeff = (0.5 / self.l2, 0) + + # print(f"{self.l2=}") + + assert ( + self.l2 > 2 + ), f"Lambda squared should be more than 2 for stability {self.l2}" + + # print(f"dx: {self.dx}, dy: {self.dy}, dt: {self.dt}") + + self.payoff = settings.payoff(A=self.A, da=self.dy, variant=variant) + + options = Options(**OPTIONS) + stepper = Stepper(options=options, n_dims=2) + + x_dim_advector = np.full( + (self.nx + 1, self.ny), + courant_number_x, + dtype=options.dtype, + ) + # print( + # f"CFL {np.max(np.abs(self.a_dim_advector)) + np.max(np.abs(x_dim_advector))}" + # ) + assert ( + np.max(np.abs(self.a_dim_advector)) + np.max(np.abs(x_dim_advector)) < 1 + ), f"CFL condition not met {np.max(np.abs(self.a_dim_advector)) + np.max(np.abs(x_dim_advector))}" + + courant_x = np.max(np.abs(x_dim_advector)) + courant_y = np.max(np.abs(self.a_dim_advector)) + # print(f"{courant_x=}, {courant_y=}") + + # print(f"{x_dim_advector.shape=}, {self.a_dim_advector.shape=}") + + self.solver = Solver( + stepper=stepper, + advectee=ScalarField( + self.payoff_2d.astype(dtype=options.dtype) + * np.exp(-self.settings.params.r * self.settings.params.T), + halo=options.n_halo, + boundary_conditions=self.boundary_conditions, + ), + advector=VectorField( + (x_dim_advector, self.a_dim_advector), + halo=options.n_halo, + boundary_conditions=self.boundary_conditions, + ), + ) + self.rhs = np.zeros((self.nx, self.ny)) + + @property + def payoff_2d(self): + raise NotImplementedError() + + @property + def a_dim_advector(self): + raise NotImplementedError() + + @property + def boundary_conditions(self): + raise NotImplementedError() + + def add_half_rhs(self): + raise NotImplementedError() + + def free_boundary(self, t): + raise NotImplementedError() + + def step(self): + global _t + _t = self.settings.params.T - (self.step_number + 0.5) * self.dt + + self.add_half_rhs() + self.free_boundary(t=_t) + + self.solver.advance(1, self.mu_coeff) + + self.add_half_rhs() + self.free_boundary(t=_t) + + self.step_number += 1 + + +class _Asian(Simulation): + @cached_property + def payoff_2d(self): + return np.repeat([self.payoff], self.nx, axis=0) + + def free_boundary(self, t): + pass + + @cached_property + def boundary_conditions(self): + return ( + # KemnaVorstBoundaryCondition( + # data_left=self.payoff_2d[0, :] + # * np.exp(-self.settings.params.r * self.settings.params.T), + # dim=OUTER, + # ), + Extrapolated(OUTER), + Extrapolated(INNER), + ) + + +class AsianArithmetic(_Asian): + @property + def a_dim_advector(self): + a_dim_advector = np.zeros((self.nx, self.ny + 1)) + # y_edg = np.log(self.S[0]) + np.arange(self.ny + 1) * self.dy + # A_edg = np.exp(y_edg - self.dy / 2) + for i in range(self.ny + 1): + a_dim_advector[:, i] = -self.dt / self.dy * self.S / self.settings.params.T + return a_dim_advector + + def add_half_rhs(self): + pass + # psi = self.solver.advectee.get() + # self.rhs[:] = -psi / self.settings.params.T # todo male t + # psi[:] = np.maximum(0, psi + -self.dt * self.rhs / 2) + + +class AsianGeometric(_Asian): + @property + def a_dim_advector(self): + a_dim_advector = np.zeros((self.nx, self.ny + 1)) + # y_edg = np.log(self.S[0]) + np.arange(self.ny + 1) * self.dy + # A_edg = np.exp(y_edg - self.dy / 2) + A_edg = np.arange(self.ny + 1) * self.dy + for i in range(self.ny + 1): + a_dim_advector[:, i] = ( + -self.dt + / self.dy + * np.log(self.S) + * (A_edg[i] - self.dy / 2) + / self.settings.params.T + ) + return a_dim_advector + + def add_half_rhs(self): + pass + # psi = self.solver.advectee.get() + # self.rhs[:] = psi / self.settings.params.T * np.log(self.S) + # psi[:] = np.maximum(0, psi + -self.dt * self.rhs / 2) + + +class European(Simulation): + @cached_property + def a_dim_advector(self): + return np.zeros((self.nx, self.ny + 1)) + + def add_half_rhs(self): + pass + + @cached_property + def payoff_2d(self): + return np.repeat(self.payoff.reshape(self.nx, 1), self.ny, axis=1) + + def free_boundary(self, t): + pass + + @cached_property + def boundary_conditions(self): + return ( + Extrapolated(OUTER), + Extrapolated(INNER), + ) + + +class American(European): + def free_boundary(self, t): + psi = self.solver.advectee.get() + psi[:] = np.maximum(psi, self.payoff_2d / np.exp(self.settings.params.r * t)) + + +def plot_solution( + settings, + frame_index, + ax, + history, + S_linspace, + arithmetic_by_mc, + option_type: str, + variant, + A_space, +): + params = { + k: v for k, v in settings.params.__dict__.items() if not k.startswith("K") + } + if variant == "call": + BS_price_func = Black_Scholes_1973.c_euro + Amer_price_func = Bjerksund_and_Stensland_1993.c_amer + geometric_price_func = asian_analytic.geometric_asian_average_price_c + else: + BS_price_func = Black_Scholes_1973.p_euro + Amer_price_func = Bjerksund_and_Stensland_1993.p_amer + geometric_price_func = asian_analytic.geometric_asian_average_price_p + + ax.plot( + S_linspace, + ( + BS_price_func( + S=S_linspace, K=settings.params.K, **params, b=settings.params.r + ) + ), + label="European analytic (Black-Scholes '73)", + linestyle="--", + alpha=0.5, + ) + # ax.plot( + # S_linspace, + # ( + # Amer_price_func( + # S=S_linspace, K=settings.params.K, **params, b=settings.params.r + # ) + # ), + # label="American analytic (Bjerksund & Stensland '93)", linestyle='--' + # ) + ax.plot( + S_linspace, + ( + geometric_price_func( + S=S_linspace, K=settings.params.K, **params, dividend_yield=0 + ) + ), + label="Asian analytic (geometric, Kemna & Vorst 1990)", + alpha=0.5, + linestyle="--", + ) + ax.plot( + S_linspace, + arithmetic_by_mc, + label="Asian arithmetic by Monte-Carlo", + linestyle=":", + ) + ax.plot( + S_linspace, + history[frame_index][:, 0], + label=f"MPDATA solution ({option_type})", + marker=".", + ) + ax.plot( + A_space, + history[0][0, :], + label=f"Terminal condition (discounted payoff)", + marker=".", + ) + ax.legend(loc="upper right") + ax.grid() + minmax = (np.amin(history[0]), np.amax(history[0])) + span = minmax[1] - minmax[0] + ax.set_ylim(minmax[0] - 0.05 * span, minmax[1] + 0.25 * span) + ax.set_title(f"instrument parameters: {settings.params.__dict__}") + # ax.set_xlabel("underlying S(t=0)=A(t=0) (and A(T) for terminal condition)") + ax.set_xlabel("average at t=T for payoff, spot at t=0 for other datasets") + ax.set_ylabel("value") + + +def plot_difference_arithmetic( + settings, frame_index, ax, history, S_linspace, arithmetic_by_mc, option_type: str +): + ax.plot( + S_linspace, + abs(arithmetic_by_mc - history[frame_index][:, 0]) / arithmetic_by_mc, + label="Difference in price of Asian arithmetic option MPDATA vs MC", + ) + ax.legend(loc="upper right") + ax.grid() + ax.set_title(f"instrument parameters: {settings.params.__dict__}") + ax.set_xlabel("underlying S(t=0)=A(t=0) (and A(T) for terminal condition)") + ax.set_ylabel("option price error") + ax.set_yscale("log") + ax.set_ylim(0, 100) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb new file mode 100644 index 00000000..da014693 --- /dev/null +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb @@ -0,0 +1,372 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "[![preview notebook](https://img.shields.io/static/v1?label=render%20on&logo=github&color=87ce3e&message=GitHub)](https://github.com/open-atmos/PyMPDATA/blob/main/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb)\n", + "[![launch on mybinder.org](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/open-atmos/PyMPDATA.git/main?urlpath=lab/tree/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb)\n", + "[![launch on Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/open-atmos/PyMPDATA/blob/main/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb)" + ], + "id": "3aed263285d1099a" + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## Paweł Magnuszewski MSc project\n", + "\n", + "## arithmetic Asian call valuation\n", + "\n", + "### Figures: 1, 2" + ], + "id": "c79ce0ff65168fd0" + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": [ + "import sys\n", + "if 'google.colab' in sys.modules:\n", + " !pip --quiet install open-atmos-jupyter-utils\n", + " from open_atmos_jupyter_utils import pip_install_on_colab\n", + " pip_install_on_colab('PyMPDATA-examples')" + ], + "id": "46a0acde935c96dd" + }, + { + "metadata": { + "collapsed": true, + "ExecuteTime": { + "end_time": "2025-04-26T16:50:03.270648Z", + "start_time": "2025-04-26T16:50:00.902394Z" + } + }, + "cell_type": "code", + "source": [ + "import matplotlib.pyplot as plt\n", + "from asian_option import AsianArithmetic, Settings, plot_solution\n", + "import numpy as np\n", + "from matplotlib import pyplot\n", + "from open_atmos_jupyter_utils import show_plot\n", + "from monte_carlo import BSModel, FixedStrikeArithmeticAsianOption\n", + "from PyMPDATA_examples.utils.financial_formulae import Black_Scholes_1973\n", + "import PyMPDATA_examples.utils.financial_formulae.asian_option as asian_analytic" + ], + "id": "initial_id", + "outputs": [], + "execution_count": 1 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-26T18:37:44.709699Z", + "start_time": "2025-04-26T18:37:44.664898Z" + } + }, + "cell_type": "code", + "source": [ + "def plot_solution(\n", + " settings,\n", + " frame_index,\n", + " ax,\n", + " history,\n", + " S_linspace,\n", + " arithmetic_by_mc,\n", + " variant,\n", + " s_space_edges\n", + "):\n", + " params = {\n", + " k: v for k, v in settings.params.__dict__.items() if not k.startswith(\"K\")\n", + " }\n", + " if variant == \"call\":\n", + " euro_price_func = Black_Scholes_1973.c_euro\n", + " geometric_price_func = asian_analytic.geometric_asian_average_price_c\n", + " else:\n", + " euro_price_func = Black_Scholes_1973.p_euro\n", + " geometric_price_func = asian_analytic.geometric_asian_average_price_p\n", + " range_lower, range_upper = 80, 120\n", + " s_indexes_within_range = [i for i, v in enumerate(S_linspace) if range_lower<=v<=range_upper]\n", + " # s_indexes_within_range = list(range(len(S_linspace)))\n", + " clipped_s_space = S_linspace[s_indexes_within_range]\n", + " ax.plot(\n", + " clipped_s_space,\n", + " (\n", + " euro_price_func(\n", + " S=clipped_s_space, K=settings.params.K, **params, b=settings.params.r\n", + " )\n", + " ),\n", + " label=\"European analytic (Black-Scholes '73)\",\n", + " linestyle=\"--\",\n", + " alpha=0.5,\n", + " c=\"black\"\n", + " )\n", + " ax.bar(\n", + " s_space_edges[:-1][s_indexes_within_range],\n", + " history[frame_index][:, 0][s_indexes_within_range],\n", + " width=s_space_edges[1:][s_indexes_within_range] - s_space_edges[:-1][s_indexes_within_range],\n", + " alpha=0.3,\n", + " align=\"edge\",\n", + " color=\"orange\"\n", + " )\n", + " ax.plot(\n", + " clipped_s_space,\n", + " history[frame_index][:, 0][s_indexes_within_range],\n", + " label=f\"Asian arithmetic MPDATA solution\",\n", + " marker=\".\",\n", + " c=\"orange\"\n", + " )\n", + " ax.plot(\n", + " clipped_s_space,\n", + " arithmetic_by_mc[s_indexes_within_range],\n", + " label=\"Asian arithmetic by Monte-Carlo\",\n", + " marker=\"+\",\n", + " c=\"blue\"\n", + " )\n", + " ax.plot(\n", + " clipped_s_space,\n", + " (\n", + " geometric_price_func(\n", + " S=clipped_s_space, K=settings.params.K, **params, dividend_yield=0\n", + " )\n", + " ),\n", + " label=\"Asian geometric analytic (Kemna & Vorst 1990)\",\n", + " linestyle=\"--\",\n", + " c=\"green\"\n", + " )\n", + " def forward(x):\n", + " return np.interp(x, S_linspace, list(range(len(S_linspace))))\n", + " def inverse(x):\n", + " return np.interp(x, list(range(len(S_linspace))), S_linspace)\n", + " ax2 = ax.secondary_xaxis('top', functions=(forward , inverse))\n", + " ax2.set_xlabel(\"x/Δx\")\n", + " ax2.set_xticks(s_indexes_within_range)\n", + " ax.legend(loc=\"upper left\")\n", + " ax.grid()\n", + " ax.set_xlabel(\"spot price at t=0 ($)\")\n", + " ax.set_ylabel(\"instrument value ($)\")" + ], + "id": "36c8cddbab1b738c", + "outputs": [], + "execution_count": 158 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-26T18:49:36.754924Z", + "start_time": "2025-04-26T18:49:36.734928Z" + } + }, + "cell_type": "code", + "source": [ + "def run_numeric_and_mc(params, nx=21, ny=31, nt=1000, variant='call'):\n", + " s_max = params.get('S_max', params['spot']*2)\n", + " s_min = params.get('S_min', params['spot']/2)\n", + " settings = Settings(T=params['T'], K=params['K'], r=params['r'], sgma=params['sgma'], S_max=s_max, S_min=s_min)\n", + " simulation = AsianArithmetic(settings, nx=nx, ny=ny, nt=nt, variant=variant)\n", + " \n", + " history = []\n", + " for _ in range(simulation.nt):\n", + " _ = simulation.step()\n", + " history.append(simulation.solver.advectee.get().copy())\n", + " arithmetic_by_mc = np.zeros_like(simulation.S)\n", + " for idx, spot in enumerate(simulation.S):\n", + " model = BSModel(spot, settings.params.r, settings.params.sgma, settings.params.T, 1000)\n", + " arithmetic_option = FixedStrikeArithmeticAsianOption(settings.params.T, settings.params.K, variant, model, 100000)\n", + " arithmetic_by_mc[idx], _ = arithmetic_option.price_by_mc()\n", + " s_space_edges = np.exp(np.linspace(np.log(simulation.S[0])-simulation.dx/2, np.log(simulation.S[-1])+simulation.dx/2, nx+1))\n", + " _, ax = pyplot.subplots(1, 1, figsize=(8, 4))\n", + " plot_solution(settings=settings,\n", + " frame_index=-1,\n", + " ax=ax,\n", + " history=history,\n", + " # arithmetic_by_mc=history[-1][:,0],\n", + " arithmetic_by_mc=arithmetic_by_mc,\n", + " S_linspace=simulation.S,\n", + " variant=variant,\n", + " s_space_edges=s_space_edges)\n", + " show_plot('numeric_vs_analytic.pdf')" + ], + "id": "f0b7762f7354aa1d", + "outputs": [], + "execution_count": 162 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-26T18:50:54.354321Z", + "start_time": "2025-04-26T18:49:37.390066Z" + } + }, + "cell_type": "code", + "source": [ + "params = {\n", + " 'T': 1,\n", + " 'K': 100,\n", + " 'r': 0.08,\n", + " 'sgma': 0.4,\n", + " 'spot': 100,\n", + " 'true_price': 8.767,\n", + " }\n", + "run_numeric_and_mc(params, nx=21, ny=31, nt=500, variant='call')" + ], + "id": "dad2cdf1f7913899", + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/svg+xml": "\n\n\n \n \n \n \n 2025-04-26T20:50:54.255219\n image/svg+xml\n \n \n Matplotlib v3.7.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "HBox(children=(HTML(value=\".\\\\numeric_vs_analytic.pdf…" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "633230aa34a74812b4df28b9ecf74a53" + } + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 163 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-26T18:39:18.421005Z", + "start_time": "2025-04-26T18:39:10.989649Z" + } + }, + "cell_type": "code", + "source": [ + "settings = Settings(T=params['T'], K=params['K'], r=params['r'], sgma=params['sgma'], S_max=200, S_min=50)\n", + "simulation = AsianArithmetic(settings, nx=21, ny=31, nt=500, variant=\"call\")\n", + "\n", + "history = [simulation.solver.advectee.get().copy()]\n", + "for i in range(250):\n", + " _ = simulation.step()\n", + "history.append(simulation.solver.advectee.get().copy())\n", + "for i in range(250):\n", + " _ = simulation.step()\n", + "history.append(simulation.solver.advectee.get().copy())\n", + "\n", + "fig, ax = pyplot.subplots(3, 1, figsize=(10,15))\n", + "\n", + "X = simulation.solver.advector.get_component(0)[:-1,:]\n", + "Y = simulation.solver.advector.get_component(1)[:,:-1]\n", + "grid = (X.shape[1], Y.shape[0])\n", + "scale_x, scale_y = np.amax(np.abs(X)), np.amax(np.abs(Y))\n", + "ax[0].quiver(*np.mgrid[\n", + " 1/2 : grid[0] : 1,\n", + " 1/2: grid[1] : 1,\n", + " ], Y.T.flatten()/0.8/scale_y, X.T.flatten()/scale_x, \n", + " pivot='mid', \n", + " color='green', \n", + " width=.003,\n", + " scale=6, \n", + " scale_units='inches'\n", + ")\n", + "ax[0].set_title(\"price advector values at cell centers\")\n", + "ax[0].set_xlabel('y/Δy')\n", + "ax[0].set_ylabel('x/Δx')\n", + "for i, xy in enumerate(('x', 'y')):\n", + " getattr(ax[0], f\"set_{xy}ticks\")(np.arange(0, grid[i] + 1))\n", + "ax[0].grid()\n", + "\n", + "im1 = ax[1].imshow(history[0], cmap='copper', interpolation='nearest', origin='lower', extent=(0, 31, 0, 21))\n", + "ax[1].set_title(\"terminal condition (t=T)\")\n", + "\n", + "# im2 = ax[2].imshow(history[1], cmap='copper', interpolation='nearest', origin='lower', extent=(0, 31, 0, 21))\n", + "# ax[2].set_title(\"at t=T/2\")\n", + "\n", + "im3 = ax[2].imshow(history[2], cmap='copper', interpolation='nearest', origin='lower', extent=(0, 31, 0, 21))\n", + "ax[2].set_title(\"at t=0\")\n", + "\n", + "plt.colorbar(im1, ax=ax[1], shrink=0.8, label='instrument value ($)')\n", + "plt.colorbar(im2, ax=ax[2], shrink=0.8, label='instrument value ($)')\n", + "# plt.colorbar(im3, ax=ax[3], shrink=0.8, label='instrument value ($)')\n", + "\n", + "ax[0].set_xlabel('y/Δy')\n", + "ax[1].set_xlabel('y/Δy')\n", + "ax[2].set_xlabel('y/Δy')\n", + "# ax[3].set_xlabel('y/Δy')\n", + "ax[0].set_ylabel('x/Δx')\n", + "ax[1].set_ylabel('x/Δx')\n", + "ax[2].set_ylabel('x/Δx')\n", + "# ax[3].set_xlabel('x/Δx')\n", + "\n", + "fig.tight_layout()\n", + "\n", + "show_plot('advectee_over_time.pdf')" + ], + "id": "cec62b5610d9b908", + "outputs": [ + { + "data": { + "text/plain": [ + "
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"HBox(children=(HTML(value=\".\\\\advectee_over_time.pdf Date: Sat, 26 Apr 2025 21:51:31 +0200 Subject: [PATCH 02/40] fixes --- .../Magnuszewski_et_al_2025/asian_option.py | 28 ------------------- 1 file changed, 28 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py index ebcbc529..4d98e51f 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py @@ -82,7 +82,6 @@ def impl(focus_psi, span, sign): focus = focus_psi[0] i = min(max(0, focus[inner_or_outer] - halo), span - 1) if sign == SIGN_RIGHT: - # TODO: reuse the code from Extrapolated (here copy & paste!) edg = span + halo - 1 - focus_psi[ARG_FOCUS][dim] den = ats(*focus_psi, edg - 1) - ats(*focus_psi, edg - 2) nom = ats(*focus_psi, edg) - ats(*focus_psi, edg - 1) @@ -116,30 +115,6 @@ def fill_halos_scalar(psi, span, sign): return make_fill_halos_loop(jit_flags, set_value, fill_halos_scalar) -class KemnaVorstBoundaryCondition(Extrapolated): - """eq. (12) in [Kemna & Vorst (1990)](TODO) but without discounting - which is embedded in the advectee definition (and applied to the initial condition) - """ - - def __init__(self, *, data_left, dim): - super().__init__(dim=dim) - self.data = tuple(data_left) - self.inner_or_outer = (INNER, OUTER)[dim] - - def make_scalar(self, indexers, halo, dtype, jit_flags, dimension_index): - return _make_scalar_custom( - self.dim, - self.eps, - indexers.ats[dimension_index], - indexers.set, - halo, - dtype, - jit_flags, - self.data, - self.inner_or_outer, - ) - - class Simulation: def __init__(self, settings, *, nx, ny, nt, variant="call"): self.nx = nx @@ -282,9 +257,6 @@ def a_dim_advector(self): def add_half_rhs(self): pass - # psi = self.solver.advectee.get() - # self.rhs[:] = -psi / self.settings.params.T # todo male t - # psi[:] = np.maximum(0, psi + -self.dt * self.rhs / 2) class AsianGeometric(_Asian): From f0fbb5390052d638b6b314491c345fae1f0ae9c7 Mon Sep 17 00:00:00 2001 From: pawel Date: Sat, 26 Apr 2025 22:57:38 +0200 Subject: [PATCH 03/40] pylint --- .../Magnuszewski_et_al_2025/asian_option.py | 143 +----------------- .../Magnuszewski_et_al_2025/figs.ipynb | 2 +- .../Magnuszewski_et_al_2025/monte_carlo.py | 17 +-- 3 files changed, 9 insertions(+), 153 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py index 4d98e51f..1dd3d2bf 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py @@ -1,15 +1,9 @@ -from abc import abstractmethod from functools import cached_property, lru_cache from types import SimpleNamespace import numba import numpy as np -import PyMPDATA_examples.utils.financial_formulae.asian_option as asian_analytic from PyMPDATA_examples.utils.discretisation import discretised_analytical_solution -from PyMPDATA_examples.utils.financial_formulae import ( - Bjerksund_and_Stensland_1993, - Black_Scholes_1973, -) from PyMPDATA import Options, ScalarField, Solver, Stepper, VectorField from PyMPDATA.boundary_conditions import Extrapolated @@ -51,6 +45,7 @@ def __init__(self, T, sgma, r, K, S_min, S_max): self.params.K = K self.S_min = S_min self.S_max = S_max + self.rh = None def payoff(self, A: np.ndarray, da: np.float32 = 0, variant="call"): def call(x): @@ -120,7 +115,6 @@ def __init__(self, settings, *, nx, ny, nt, variant="call"): self.nx = nx self.nt = nt self.settings = settings - self.ny = ny self.dt = settings.params.T / self.nt log_s_min = np.log(settings.S_min) @@ -130,51 +124,28 @@ def __init__(self, settings, *, nx, ny, nt, variant="call"): 0, settings.S_max, self.ny, retstep=True, endpoint=True ) self.dx = (log_s_max - log_s_min) / self.nx - # self.dy = - self.settings = settings self.step_number = 0 - sigma_squared = pow(settings.params.sgma, 2) courant_number_x = ( -(0.5 * sigma_squared - settings.params.r) * (-self.dt) / self.dx ) - self.l2 = self.dx * self.dx / sigma_squared / self.dt - self.mu_coeff = (0.5 / self.l2, 0) - - # print(f"{self.l2=}") - assert ( self.l2 > 2 ), f"Lambda squared should be more than 2 for stability {self.l2}" - - # print(f"dx: {self.dx}, dy: {self.dy}, dt: {self.dt}") - self.payoff = settings.payoff(A=self.A, da=self.dy, variant=variant) - options = Options(**OPTIONS) stepper = Stepper(options=options, n_dims=2) - x_dim_advector = np.full( (self.nx + 1, self.ny), courant_number_x, dtype=options.dtype, ) - # print( - # f"CFL {np.max(np.abs(self.a_dim_advector)) + np.max(np.abs(x_dim_advector))}" - # ) assert ( np.max(np.abs(self.a_dim_advector)) + np.max(np.abs(x_dim_advector)) < 1 ), f"CFL condition not met {np.max(np.abs(self.a_dim_advector)) + np.max(np.abs(x_dim_advector))}" - - courant_x = np.max(np.abs(x_dim_advector)) - courant_y = np.max(np.abs(self.a_dim_advector)) - # print(f"{courant_x=}, {courant_y=}") - - # print(f"{x_dim_advector.shape=}, {self.a_dim_advector.shape=}") - self.solver = Solver( stepper=stepper, advectee=ScalarField( @@ -235,11 +206,6 @@ def free_boundary(self, t): @cached_property def boundary_conditions(self): return ( - # KemnaVorstBoundaryCondition( - # data_left=self.payoff_2d[0, :] - # * np.exp(-self.settings.params.r * self.settings.params.T), - # dim=OUTER, - # ), Extrapolated(OUTER), Extrapolated(INNER), ) @@ -249,8 +215,6 @@ class AsianArithmetic(_Asian): @property def a_dim_advector(self): a_dim_advector = np.zeros((self.nx, self.ny + 1)) - # y_edg = np.log(self.S[0]) + np.arange(self.ny + 1) * self.dy - # A_edg = np.exp(y_edg - self.dy / 2) for i in range(self.ny + 1): a_dim_advector[:, i] = -self.dt / self.dy * self.S / self.settings.params.T return a_dim_advector @@ -263,8 +227,6 @@ class AsianGeometric(_Asian): @property def a_dim_advector(self): a_dim_advector = np.zeros((self.nx, self.ny + 1)) - # y_edg = np.log(self.S[0]) + np.arange(self.ny + 1) * self.dy - # A_edg = np.exp(y_edg - self.dy / 2) A_edg = np.arange(self.ny + 1) * self.dy for i in range(self.ny + 1): a_dim_advector[:, i] = ( @@ -278,9 +240,6 @@ def a_dim_advector(self): def add_half_rhs(self): pass - # psi = self.solver.advectee.get() - # self.rhs[:] = psi / self.settings.params.T * np.log(self.S) - # psi[:] = np.maximum(0, psi + -self.dt * self.rhs / 2) class European(Simulation): @@ -310,103 +269,3 @@ class American(European): def free_boundary(self, t): psi = self.solver.advectee.get() psi[:] = np.maximum(psi, self.payoff_2d / np.exp(self.settings.params.r * t)) - - -def plot_solution( - settings, - frame_index, - ax, - history, - S_linspace, - arithmetic_by_mc, - option_type: str, - variant, - A_space, -): - params = { - k: v for k, v in settings.params.__dict__.items() if not k.startswith("K") - } - if variant == "call": - BS_price_func = Black_Scholes_1973.c_euro - Amer_price_func = Bjerksund_and_Stensland_1993.c_amer - geometric_price_func = asian_analytic.geometric_asian_average_price_c - else: - BS_price_func = Black_Scholes_1973.p_euro - Amer_price_func = Bjerksund_and_Stensland_1993.p_amer - geometric_price_func = asian_analytic.geometric_asian_average_price_p - - ax.plot( - S_linspace, - ( - BS_price_func( - S=S_linspace, K=settings.params.K, **params, b=settings.params.r - ) - ), - label="European analytic (Black-Scholes '73)", - linestyle="--", - alpha=0.5, - ) - # ax.plot( - # S_linspace, - # ( - # Amer_price_func( - # S=S_linspace, K=settings.params.K, **params, b=settings.params.r - # ) - # ), - # label="American analytic (Bjerksund & Stensland '93)", linestyle='--' - # ) - ax.plot( - S_linspace, - ( - geometric_price_func( - S=S_linspace, K=settings.params.K, **params, dividend_yield=0 - ) - ), - label="Asian analytic (geometric, Kemna & Vorst 1990)", - alpha=0.5, - linestyle="--", - ) - ax.plot( - S_linspace, - arithmetic_by_mc, - label="Asian arithmetic by Monte-Carlo", - linestyle=":", - ) - ax.plot( - S_linspace, - history[frame_index][:, 0], - label=f"MPDATA solution ({option_type})", - marker=".", - ) - ax.plot( - A_space, - history[0][0, :], - label=f"Terminal condition (discounted payoff)", - marker=".", - ) - ax.legend(loc="upper right") - ax.grid() - minmax = (np.amin(history[0]), np.amax(history[0])) - span = minmax[1] - minmax[0] - ax.set_ylim(minmax[0] - 0.05 * span, minmax[1] + 0.25 * span) - ax.set_title(f"instrument parameters: {settings.params.__dict__}") - # ax.set_xlabel("underlying S(t=0)=A(t=0) (and A(T) for terminal condition)") - ax.set_xlabel("average at t=T for payoff, spot at t=0 for other datasets") - ax.set_ylabel("value") - - -def plot_difference_arithmetic( - settings, frame_index, ax, history, S_linspace, arithmetic_by_mc, option_type: str -): - ax.plot( - S_linspace, - abs(arithmetic_by_mc - history[frame_index][:, 0]) / arithmetic_by_mc, - label="Difference in price of Asian arithmetic option MPDATA vs MC", - ) - ax.legend(loc="upper right") - ax.grid() - ax.set_title(f"instrument parameters: {settings.params.__dict__}") - ax.set_xlabel("underlying S(t=0)=A(t=0) (and A(T) for terminal condition)") - ax.set_ylabel("option price error") - ax.set_yscale("log") - ax.set_ylim(0, 100) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb index da014693..242e1652 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb @@ -47,7 +47,7 @@ "cell_type": "code", "source": [ "import matplotlib.pyplot as plt\n", - "from asian_option import AsianArithmetic, Settings, plot_solution\n", + "from asian_option import AsianArithmetic, Settings\n", "import numpy as np\n", "from matplotlib import pyplot\n", "from open_atmos_jupyter_utils import show_plot\n", diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py index adee921e..9c73a550 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py @@ -1,14 +1,11 @@ import os +from functools import cached_property, lru_cache, partial from typing import Callable +import numba import numpy as np os.environ["NUMBA_OPT"] = "3" - -from functools import cached_property, lru_cache, partial - -import numba - jit = partial(numba.jit, fastmath=True, error_model="numpy", cache=True, nogil=True) @@ -99,20 +96,20 @@ def payoff(path): class FixedStrikeArithmeticAsianOption(PathDependentOption): - def __init__(self, T, K, type, model, N): + def __init__(self, T, K, variant, model, N): super().__init__(T, model, N) self.K = K - self.payoff = make_payoff(K, type) + self.payoff = make_payoff(K, variant) class FixedStrikeGeometricAsianOption(PathDependentOption): - def __init__(self, T, K, type, model, N): + def __init__(self, T, K, variant, model, N): super().__init__(T, model, N) self.K = K - if type == "call": + if variant == "call": self.payoff = lambda path: max(np.exp(np.mean(np.log(path))) - K, 0) - elif type == "put": + elif variant == "put": self.payoff = lambda path: max(K - np.exp(np.mean(np.log(path))), 0) else: raise ValueError("Invalid option type") From cc7926d603fd0f90a42c2d830d9a0c2c8a63f1ea Mon Sep 17 00:00:00 2001 From: pawel Date: Sat, 26 Apr 2025 23:07:46 +0200 Subject: [PATCH 04/40] pylint --- .../Magnuszewski_et_al_2025/asian_option.py | 8 +++++--- .../Magnuszewski_et_al_2025/monte_carlo.py | 2 ++ 2 files changed, 7 insertions(+), 3 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py index 1dd3d2bf..3eaacb75 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py @@ -25,6 +25,7 @@ "third_order_terms": False, "non_zero_mu_coeff": True, } +# pylint: disable=too-few-public-methods, too-many-lines, global-statement, abstract-method class Settings: @@ -143,9 +144,10 @@ def __init__(self, settings, *, nx, ny, nt, variant="call"): courant_number_x, dtype=options.dtype, ) - assert ( - np.max(np.abs(self.a_dim_advector)) + np.max(np.abs(x_dim_advector)) < 1 - ), f"CFL condition not met {np.max(np.abs(self.a_dim_advector)) + np.max(np.abs(x_dim_advector))}" + cfl_condition = np.max(np.abs(self.a_dim_advector)) + np.max( + np.abs(x_dim_advector) + ) + assert cfl_condition < 1, f"CFL condition not met {cfl_condition}" self.solver = Solver( stepper=stepper, advectee=ScalarField( diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py index 9c73a550..b86c0baa 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py @@ -8,6 +8,8 @@ os.environ["NUMBA_OPT"] = "3" jit = partial(numba.jit, fastmath=True, error_model="numpy", cache=True, nogil=True) +# pylint: disable=too-few-public-methods + class BSModel: def __init__(self, S0, r, sigma, T, M): From 11712260b6c6ae21824b271f34a30fa2ba07cc6f Mon Sep 17 00:00:00 2001 From: Sylwester Arabas Date: Sun, 27 Apr 2025 00:54:52 +0200 Subject: [PATCH 05/40] address pylin hints --- .../Magnuszewski_et_al_2025/figs.ipynb | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb index 242e1652..79051ad2 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb @@ -46,12 +46,11 @@ }, "cell_type": "code", "source": [ - "import matplotlib.pyplot as plt\n", - "from asian_option import AsianArithmetic, Settings\n", "import numpy as np\n", "from matplotlib import pyplot\n", "from open_atmos_jupyter_utils import show_plot\n", - "from monte_carlo import BSModel, FixedStrikeArithmeticAsianOption\n", + "from PyMPDATA_examples.Magnuszewski_et_al_2025.asian_option import AsianArithmetic, Settings\n", + "from PyMPDATA_examples.Magnuszewski_et_al_2025.monte_carlo import BSModel, FixedStrikeArithmeticAsianOption\n", "from PyMPDATA_examples.utils.financial_formulae import Black_Scholes_1973\n", "import PyMPDATA_examples.utils.financial_formulae.asian_option as asian_analytic" ], @@ -114,7 +113,7 @@ " ax.plot(\n", " clipped_s_space,\n", " history[frame_index][:, 0][s_indexes_within_range],\n", - " label=f\"Asian arithmetic MPDATA solution\",\n", + " label=\"Asian arithmetic MPDATA solution\",\n", " marker=\".\",\n", " c=\"orange\"\n", " )\n", @@ -293,9 +292,9 @@ "im3 = ax[2].imshow(history[2], cmap='copper', interpolation='nearest', origin='lower', extent=(0, 31, 0, 21))\n", "ax[2].set_title(\"at t=0\")\n", "\n", - "plt.colorbar(im1, ax=ax[1], shrink=0.8, label='instrument value ($)')\n", - "plt.colorbar(im2, ax=ax[2], shrink=0.8, label='instrument value ($)')\n", - "# plt.colorbar(im3, ax=ax[3], shrink=0.8, label='instrument value ($)')\n", + "pyplot.colorbar(im1, ax=ax[1], shrink=0.8, label='instrument value ($)')\n", + "# pyplot.colorbar(im2, ax=ax[2], shrink=0.8, label='instrument value ($)')\n", + "# pyplot.colorbar(im3, ax=ax[3], shrink=0.8, label='instrument value ($)')\n", "\n", "ax[0].set_xlabel('y/Δy')\n", "ax[1].set_xlabel('y/Δy')\n", From a9bdbd870c6b50b7401e0c74f75454aa9918ddf9 Mon Sep 17 00:00:00 2001 From: Sylwester Arabas Date: Sun, 27 Apr 2025 01:00:31 +0200 Subject: [PATCH 06/40] temporarily limit CI runs to just the single new notebook --- .github/workflows/joss.yml.off | 29 +++ .github/workflows/pdoc.yml.off | 50 +++++ .github/workflows/pypi.yml.off | 57 ++++++ .github/workflows/readme_julia.yml.off | 28 +++ .github/workflows/readme_matlab.yml.off | 44 +++++ .github/workflows/readme_python.yml.off | 40 ++++ .github/workflows/readme_rust.yml.off | 43 +++++ .github/workflows/stale_issues.yml.off | 30 +++ .github/workflows/tests.yml | 232 ++++++++++++------------ 9 files changed, 437 insertions(+), 116 deletions(-) create mode 100644 .github/workflows/joss.yml.off create mode 100644 .github/workflows/pdoc.yml.off create mode 100644 .github/workflows/pypi.yml.off create mode 100644 .github/workflows/readme_julia.yml.off create mode 100644 .github/workflows/readme_matlab.yml.off create mode 100644 .github/workflows/readme_python.yml.off create mode 100644 .github/workflows/readme_rust.yml.off create mode 100644 .github/workflows/stale_issues.yml.off diff --git a/.github/workflows/joss.yml.off b/.github/workflows/joss.yml.off new file mode 100644 index 00000000..ac414649 --- /dev/null +++ b/.github/workflows/joss.yml.off @@ -0,0 +1,29 @@ +name: Build JOSS paper draft + +on: + push: + branches: + - main + pull_request: + branches: + - main + +jobs: + paper: + runs-on: ubuntu-latest + name: Paper Draft + steps: + - name: Checkout + uses: actions/checkout@v2 + - name: TeX and PDF + uses: docker://openjournals/paperdraft:latest + with: + args: '-k paper/paper.md' + env: + GIT_SHA: $GITHUB_SHA + JOURNAL: joss + - name: Upload + uses: actions/upload-artifact@v4 + with: + name: paper + path: paper/ diff --git a/.github/workflows/pdoc.yml.off b/.github/workflows/pdoc.yml.off new file mode 100644 index 00000000..f39d3ca8 --- /dev/null +++ b/.github/workflows/pdoc.yml.off @@ -0,0 +1,50 @@ +name: pdoc + +defaults: + run: + shell: bash + +on: + push: + branches: [ main ] + pull_request: + branches: [ main ] + schedule: + - cron: '0 13 * * 4' + +jobs: + pdoc: + strategy: + matrix: + platform: [ubuntu-latest, macos-latest, windows-latest] + runs-on: ${{ matrix.platform }} + steps: + - uses: actions/checkout@v2 + with: + submodules: recursive + persist-credentials: false + - uses: actions/setup-python@v5.2.0 + with: + python-version: 3.9 + - env: + JUPYTER_PLATFORM_DIRS: 1 + run: | + pip install pdoc nbformat gitpython + pip install -e . -e ./examples + python -We docs/generate_html.py . . + + python - <&1 | tee build.log + exit `fgrep -v "warning: no previously-included files matching" buid.log | fgrep -i warning | wc -l` + twine check --strict dist/* + exit `tar tzf dist/*.tar.gz | fgrep ".ipynb" | wc -l` + cd .. + + - if: github.event_name == 'push' && github.ref == 'refs/heads/main' + uses: pypa/gh-action-pypi-publish@release/v1.12 + with: + attestations: false + repository_url: https://test.pypi.org/legacy/ + packages-dir: ${{ matrix.package-dir }}/dist + + - if: startsWith(github.ref, 'refs/tags') + uses: pypa/gh-action-pypi-publish@release/v1.12 + with: + attestations: false + packages-dir: ${{ matrix.package-dir }}/dist diff --git a/.github/workflows/readme_julia.yml.off b/.github/workflows/readme_julia.yml.off new file mode 100644 index 00000000..24619d83 --- /dev/null +++ b/.github/workflows/readme_julia.yml.off @@ -0,0 +1,28 @@ +name: readme_julia + +defaults: + run: + shell: bash + +on: + push: + branches: [ main ] + pull_request: + branches: [ main ] + schedule: + - cron: '0 13 * * 4' + +jobs: + julia: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v2 + - uses: actions/setup-python@v1 + with: + python-version: 3.9 + - run: pip install -e . + - run: pip install pytest-codeblocks pytest + - run: python -c "import pytest_codeblocks; code=pytest_codeblocks.extract_from_file('docs/markdown/pympdata_landing.md'); f=open('readme.jl', 'w'); f.writelines(block.code for block in code if block.syntax=='Julia'); f.close()" + - run: cat readme.jl + - uses: julia-actions/setup-julia@v1 + - run: julia readme.jl diff --git a/.github/workflows/readme_matlab.yml.off b/.github/workflows/readme_matlab.yml.off new file mode 100644 index 00000000..7ce3f9e7 --- /dev/null +++ b/.github/workflows/readme_matlab.yml.off @@ -0,0 +1,44 @@ +name: readme_matlab + +defaults: + run: + shell: bash + +on: + push: + branches: [ main ] + pull_request: + branches: [ main ] + schedule: + - cron: '0 13 * * 4' + +jobs: + matlab: + strategy: + matrix: + # https://www.mathworks.com/support/requirements/python-compatibility.html + include: + - matlab-version: "R2021b" + python-version: "3.9" + - matlab-version: "R2024b" + python-version: "3.12" + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4.2.2 + - uses: actions/setup-python@v5.3.0 + with: + python-version: ${{ matrix.python-version }} + - run: pip install -e . + - run: pip install pytest-codeblocks pytest + - run: python -c "import pytest_codeblocks; code=pytest_codeblocks.extract_from_file('docs/markdown/pympdata_landing.md'); f=open('readme.m', 'w'); f.writelines(block.code for block in code if block.syntax=='Matlab'); f.close()" + - run: cat readme.m + - uses: matlab-actions/setup-matlab@v2.3.0 + with: + release: ${{ matrix.matlab-version }} + - uses: matlab-actions/run-command@v2.1.1 + with: + command: pe=pyenv; assert(pe.Version == "${{ matrix.python-version }}"); + - run: echo NUMBA_NUM_THREADS=1 >> $GITHUB_ENV + - uses: matlab-actions/run-command@v2.1.1 + with: + command: readme diff --git a/.github/workflows/readme_python.yml.off b/.github/workflows/readme_python.yml.off new file mode 100644 index 00000000..8984ae70 --- /dev/null +++ b/.github/workflows/readme_python.yml.off @@ -0,0 +1,40 @@ +name: readme_python + +defaults: + run: + shell: bash + +on: + push: + branches: [ main ] + pull_request: + branches: [ main ] + schedule: + - cron: '0 13 * * 4' + +jobs: + python: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v2 + - uses: actions/setup-python@v1 + with: + python-version: 3.9 + - run: pip install -e . + - run: pip install pytest-codeblocks pytest matplotlib + - run: python -c "import pytest_codeblocks; code=pytest_codeblocks.extract_from_file('docs/markdown/pympdata_landing.md'); f=open('readme.py', 'w'); f.writelines(block.code for block in code if block.syntax=='Python'); f.close()" + - run: python -We readme.py + - run: cat readme.py + - run: ls readme_grid.png + - run: ls readme_gauss_0.png + - run: ls readme_gauss.png + + - name: artefacts + if: github.ref == 'refs/heads/main' + uses: eine/tip@master + with: + token: ${{ secrets.GITHUB_TOKEN }} + files: | + readme_grid.png + readme_gauss_0.png + readme_gauss.png diff --git a/.github/workflows/readme_rust.yml.off b/.github/workflows/readme_rust.yml.off new file mode 100644 index 00000000..45c39f14 --- /dev/null +++ b/.github/workflows/readme_rust.yml.off @@ -0,0 +1,43 @@ +name: readme_rust + +defaults: + run: + shell: bash + +on: + push: + branches: [ main ] + pull_request: + branches: [ main ] + schedule: + - cron: '0 13 * * 4' + +jobs: + rust: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v2 + - uses: dtolnay/rust-toolchain@stable + with: + components: rust-src + - uses: actions/setup-python@v5 + with: + python-version: 3.9 + - run: pip install -e . + - run: pip install pytest-codeblocks pytest + + - run: | + cat >Cargo.toml <> $GITHUB_ENV - - - env: - NUMBA_OPT: 1 - run: | - python -m pytest --durations=10 -p no:unraisableexception -We tests/unit_tests - python -m pytest --durations=10 -p no:unraisableexception -We -k "not test_timing_3d" tests/smoke_tests - - - env: - NUMBA_OPT: 3 - run: | - python -m pytest --durations=10 -p no:unraisableexception -We -k "test_timing_3d" tests/smoke_tests +# zenodo_json: +# runs-on: ubuntu-latest +# steps: +# - uses: actions/checkout@v2 +# - uses: notiz-dev/github-action-json-property@release +# with: +# path: '.zenodo.json' +# prop_path: 'creators' + +# devops: +# runs-on: ubuntu-latest +# steps: +# - uses: actions/checkout@v2 +# with: +# submodules: recursive +# fetch-depth: 0 # https://github.com/pypa/setuptools_scm/issues/480 +# - run: pip install -r tests/devops_tests/requirements.txt +# - run: pip install -e . -e ./examples +# - env: +# GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} +# run: pytest --durations=10 -v -s -We -p no:unraisableexception -k "not run_notebooks" tests/devops_tests + +# nojit_and_codecov: +# needs: [ precommit, pylint, zenodo_json, devops ] +# runs-on: ubuntu-latest +# env: +# NUMBA_DISABLE_JIT: 1 +# steps: +# - uses: actions/checkout@master +# with: +# submodules: recursive +# fetch-depth: 0 +# - uses: actions/setup-python@v5.2.0 +# with: +# python-version: 3.9 +# - name: Generate coverage report +# run: | +# pip install -e .[tests] -e ./examples +# pip install pytest-cov +# pytest --durations=10 -We tests/unit_tests --cov-report=xml --cov=PyMPDATA +# - name: Upload coverage to Codecov +# uses: codecov/codecov-action@v4 +# with: +# token: ${{ secrets.CODECOV_TOKEN }} +# fail_ci_if_error: true +# verbose: true + +# tests: +# timeout-minutes: 120 +# needs: [nojit_and_codecov] +# strategy: +# matrix: +# platform: [ubuntu-latest, macos-13, macos-14, windows-latest] +# python-version: ["3.9", "3.12"] +# exclude: +# - platform: macos-14 +# python-version: "3.9" +# runs-on: ${{ matrix.platform }} +# steps: +# - uses: actions/checkout@v2 +# with: +# submodules: recursive +# fetch-depth: 0 +# +# - uses: actions/setup-python@v5.2.0 +# with: +# python-version: ${{ matrix.python-version }} +# +# - run: | +# python -m pip install $PIP_INSTALL_ARGS -e . # to check if usable without test/example dependencies +# python -We -c "import PyMPDATA" +# python -m pip install $PIP_INSTALL_ARGS -e .[tests] -e ./examples +# +# - if: startsWith(matrix.platform, 'ubuntu-') +# run: echo NUMBA_THREADING_LAYER=omp >> $GITHUB_ENV +# +# - env: +# NUMBA_OPT: 1 +# run: | +# python -m pytest --durations=10 -p no:unraisableexception -We tests/unit_tests +# python -m pytest --durations=10 -p no:unraisableexception -We -k "not test_timing_3d" tests/smoke_tests +# +# - env: +# NUMBA_OPT: 3 +# run: | +# python -m pytest --durations=10 -p no:unraisableexception -We -k "test_timing_3d" tests/smoke_tests examples: - needs: [nojit_and_codecov] +# needs: [nojit_and_codecov] strategy: matrix: platform: [ubuntu-latest, macos-13, macos-14, windows-latest] @@ -162,19 +162,19 @@ jobs: - run: python -m pip install $PIP_INSTALL_ARGS -e .[tests] -e ./examples - run: python -m pip install $PIP_INSTALL_ARGS -r tests/devops_tests/requirements.txt - - if: matrix.platform == 'ubuntu-latest' - run: | - sudo apt-get install libblitz0-dev libboost-thread-dev libboost-date-time-dev libboost-system-dev libboost-iostreams-dev libboost-timer-dev libboost-filesystem-dev - git clone https://github.com/igfuw/libmpdataxx.git - cd libmpdataxx/libmpdata++ - mkdir build - cd build - cmake .. - sudo make install - cd ../../../ - rm -rf libmpdataxx - - uses: julia-actions/setup-julia@v2 - - run: julia --version +# - if: matrix.platform == 'ubuntu-latest' +# run: | +# sudo apt-get install libblitz0-dev libboost-thread-dev libboost-date-time-dev libboost-system-dev libboost-iostreams-dev libboost-timer-dev libboost-filesystem-dev +# git clone https://github.com/igfuw/libmpdataxx.git +# cd libmpdataxx/libmpdata++ +# mkdir build +# cd build +# cmake .. +# sudo make install +# cd ../../../ +# rm -rf libmpdataxx +# - uses: julia-actions/setup-julia@v2 +# - run: julia --version # https://github.com/numba/numba/issues/6350#issuecomment-728174860 - if: matrix.platform == 'ubuntu-latest' @@ -182,27 +182,27 @@ jobs: - env: NUMBA_OPT: 1 - run: python -m pytest --durations=10 -p no:unraisableexception -We tests/devops_tests/test_notebooks.py + run: python -m pytest --durations=10 -p no:unraisableexception -We -k Magnuszewski tests/devops_tests/test_notebooks.py - - if: ${{ matrix.platform == 'ubuntu-latest' && matrix.python-version == '3.12'}} - run: | - mkdir -p /home/runner/work/_temp/_github_home/figures - rm /tmp/pytest-of-runner/pytest-current/test_run_notebooks_examples_Pycurrent - mv /tmp/pytest-of-runner/pytest-current/test_run_notebooks_examples_*/boussinesq_2d_anim.gif /home/runner/work/_temp/_github_home/figures - mv /tmp/pytest-of-runner/pytest-current/test_run_notebooks_examples_*/fig_4.svg /home/runner/work/_temp/_github_home/figures - mv /tmp/pytest-of-runner/pytest-current/test_run_notebooks_examples_*/advection_diffusion.gif /home/runner/work/_temp/_github_home/figures - mv /tmp/pytest-of-runner/pytest-current/test_run_notebooks_examples_*/wikipedia_example.gif /home/runner/work/_temp/_github_home/figures +# - if: ${{ matrix.platform == 'ubuntu-latest' && matrix.python-version == '3.12'}} +# run: | +# mkdir -p /home/runner/work/_temp/_github_home/figures +# rm /tmp/pytest-of-runner/pytest-current/test_run_notebooks_examples_Pycurrent +# mv /tmp/pytest-of-runner/pytest-current/test_run_notebooks_examples_*/boussinesq_2d_anim.gif /home/runner/work/_temp/_github_home/figures +# mv /tmp/pytest-of-runner/pytest-current/test_run_notebooks_examples_*/fig_4.svg /home/runner/work/_temp/_github_home/figures +# mv /tmp/pytest-of-runner/pytest-current/test_run_notebooks_examples_*/advection_diffusion.gif /home/runner/work/_temp/_github_home/figures +# mv /tmp/pytest-of-runner/pytest-current/test_run_notebooks_examples_*/wikipedia_example.gif /home/runner/work/_temp/_github_home/figures # - if: ${{ failure() }} # uses: mxschmitt/action-tmate@v3 # with: # limit-access-to-actor: true - - if: ${{ github.ref == 'refs/heads/main' && matrix.platform == 'ubuntu-latest' && matrix.python-version == '3.12'}} - uses: eine/tip@master - with: - token: ${{ secrets.GITHUB_TOKEN }} - files: | - /github/home/figures/*.svg - /github/home/figures/*.gif +# - if: ${{ github.ref == 'refs/heads/main' && matrix.platform == 'ubuntu-latest' && matrix.python-version == '3.12'}} +# uses: eine/tip@master +# with: +# token: ${{ secrets.GITHUB_TOKEN }} +# files: | +# /github/home/figures/*.svg +# /github/home/figures/*.gif From b6283307635e4f0561e6f397a1e1d80e7d1b75d0 Mon Sep 17 00:00:00 2001 From: Sylwester Arabas Date: Sun, 27 Apr 2025 02:49:14 +0200 Subject: [PATCH 07/40] Fig 1: fix secondary grid (shift by dx/2); Fig 2: align all figs, one colorbar, common color ranges, every second tick --- .../Magnuszewski_et_al_2025/figs.ipynb | 11393 +++++++++++++++- 1 file changed, 11262 insertions(+), 131 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb index 79051ad2..ee408227 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb @@ -1,71 +1,73 @@ { "cells": [ { - "metadata": {}, "cell_type": "markdown", + "id": "3aed263285d1099a", + "metadata": {}, "source": [ "[![preview notebook](https://img.shields.io/static/v1?label=render%20on&logo=github&color=87ce3e&message=GitHub)](https://github.com/open-atmos/PyMPDATA/blob/main/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb)\n", "[![launch on mybinder.org](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/open-atmos/PyMPDATA.git/main?urlpath=lab/tree/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb)\n", "[![launch on Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/open-atmos/PyMPDATA/blob/main/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb)" - ], - "id": "3aed263285d1099a" + ] }, { - "metadata": {}, "cell_type": "markdown", + "id": "c79ce0ff65168fd0", + "metadata": {}, "source": [ "## Paweł Magnuszewski MSc project\n", "\n", "## arithmetic Asian call valuation\n", "\n", "### Figures: 1, 2" - ], - "id": "c79ce0ff65168fd0" + ] }, { - "metadata": {}, "cell_type": "code", + "execution_count": 1, + "id": "46a0acde935c96dd", + "metadata": {}, "outputs": [], - "execution_count": null, "source": [ "import sys\n", "if 'google.colab' in sys.modules:\n", " !pip --quiet install open-atmos-jupyter-utils\n", " from open_atmos_jupyter_utils import pip_install_on_colab\n", " pip_install_on_colab('PyMPDATA-examples')" - ], - "id": "46a0acde935c96dd" + ] }, { + "cell_type": "code", + "execution_count": 21, + "id": "initial_id", "metadata": { - "collapsed": true, "ExecuteTime": { "end_time": "2025-04-26T16:50:03.270648Z", "start_time": "2025-04-26T16:50:00.902394Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "import numpy as np\n", - "from matplotlib import pyplot\n", + "from matplotlib import pyplot, colors\n", "from open_atmos_jupyter_utils import show_plot\n", "from PyMPDATA_examples.Magnuszewski_et_al_2025.asian_option import AsianArithmetic, Settings\n", "from PyMPDATA_examples.Magnuszewski_et_al_2025.monte_carlo import BSModel, FixedStrikeArithmeticAsianOption\n", "from PyMPDATA_examples.utils.financial_formulae import Black_Scholes_1973\n", "import PyMPDATA_examples.utils.financial_formulae.asian_option as asian_analytic" - ], - "id": "initial_id", - "outputs": [], - "execution_count": 1 + ] }, { + "cell_type": "code", + "execution_count": 22, + "id": "36c8cddbab1b738c", "metadata": { "ExecuteTime": { "end_time": "2025-04-26T18:37:44.709699Z", "start_time": "2025-04-26T18:37:44.664898Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "def plot_solution(\n", " settings,\n", @@ -136,9 +138,9 @@ " c=\"green\"\n", " )\n", " def forward(x):\n", - " return np.interp(x, S_linspace, list(range(len(S_linspace))))\n", + " return np.interp(x, S_linspace, np.arange(len(S_linspace))+.5)\n", " def inverse(x):\n", - " return np.interp(x, list(range(len(S_linspace))), S_linspace)\n", + " return np.interp(x, np.arange(len(S_linspace))+.5, S_linspace)\n", " ax2 = ax.secondary_xaxis('top', functions=(forward , inverse))\n", " ax2.set_xlabel(\"x/Δx\")\n", " ax2.set_xticks(s_indexes_within_range)\n", @@ -146,19 +148,19 @@ " ax.grid()\n", " ax.set_xlabel(\"spot price at t=0 ($)\")\n", " ax.set_ylabel(\"instrument value ($)\")" - ], - "id": "36c8cddbab1b738c", - "outputs": [], - "execution_count": 158 + ] }, { + "cell_type": "code", + "execution_count": 9, + "id": "f0b7762f7354aa1d", "metadata": { "ExecuteTime": { "end_time": "2025-04-26T18:49:36.754924Z", "start_time": "2025-04-26T18:49:36.734928Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "def run_numeric_and_mc(params, nx=21, ny=31, nt=1000, variant='call'):\n", " s_max = params.get('S_max', params['spot']*2)\n", @@ -168,7 +170,7 @@ " \n", " history = []\n", " for _ in range(simulation.nt):\n", - " _ = simulation.step()\n", + " simulation.step()\n", " history.append(simulation.solver.advectee.get().copy())\n", " arithmetic_by_mc = np.zeros_like(simulation.S)\n", " for idx, spot in enumerate(simulation.S):\n", @@ -187,19 +189,1933 @@ " variant=variant,\n", " s_space_edges=s_space_edges)\n", " show_plot('numeric_vs_analytic.pdf')" - ], - "id": "f0b7762f7354aa1d", - "outputs": [], - "execution_count": 162 + ] }, { + "cell_type": "code", + "execution_count": 10, + "id": 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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" + ] }, "metadata": {}, "output_type": "display_data" }, { "data": { - "text/plain": [ - "HBox(children=(HTML(value=\".\\\\numeric_vs_analytic.pdf…" - ], "application/vnd.jupyter.widget-view+json": { + "model_id": "375651f84bd44af1a39369e24cf521e2", "version_major": 2, - "version_minor": 0, - "model_id": "633230aa34a74812b4df28b9ecf74a53" - } + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value=\"./advectee_over_time.pdf
…" + ] }, "metadata": {}, "output_type": "display_data" } ], - "execution_count": 163 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-04-26T18:39:18.421005Z", - "start_time": "2025-04-26T18:39:10.989649Z" - } - }, - "cell_type": "code", "source": [ - "settings = Settings(T=params['T'], K=params['K'], r=params['r'], sgma=params['sgma'], S_max=200, S_min=50)\n", - "simulation = AsianArithmetic(settings, nx=21, ny=31, nt=500, variant=\"call\")\n", - "\n", - "history = [simulation.solver.advectee.get().copy()]\n", - "for i in range(250):\n", - " _ = simulation.step()\n", - "history.append(simulation.solver.advectee.get().copy())\n", - "for i in range(250):\n", - " _ = simulation.step()\n", - "history.append(simulation.solver.advectee.get().copy())\n", - "\n", - "fig, ax = pyplot.subplots(3, 1, figsize=(10,15))\n", + "fig, axs = pyplot.subplots(4, 1, figsize=(11, 20), sharex=True, sharey=True)\n", "\n", "X = simulation.solver.advector.get_component(0)[:-1,:]\n", "Y = simulation.solver.advector.get_component(1)[:,:-1]\n", "grid = (X.shape[1], Y.shape[0])\n", "scale_x, scale_y = np.amax(np.abs(X)), np.amax(np.abs(Y))\n", - "ax[0].quiver(*np.mgrid[\n", + "im = axs[0].imshow(np.full_like(history[0], np.nan),\n", + " origin='lower',\n", + " extent=(0, ny, 0, nx),\n", + " norm=colors.Normalize(vmin=0, vmax=vmax))\n", + "axs[0].quiver(*np.mgrid[\n", " 1/2 : grid[0] : 1,\n", - " 1/2: grid[1] : 1,\n", + " 1/2 : grid[1] : 1,\n", " ], Y.T.flatten()/0.8/scale_y, X.T.flatten()/scale_x, \n", " pivot='mid', \n", " color='green', \n", " width=.003,\n", - " scale=6, \n", + " scale=8, \n", " scale_units='inches'\n", ")\n", - "ax[0].set_title(\"price advector values at cell centers\")\n", - "ax[0].set_xlabel('y/Δy')\n", - "ax[0].set_ylabel('x/Δx')\n", - "for i, xy in enumerate(('x', 'y')):\n", - " getattr(ax[0], f\"set_{xy}ticks\")(np.arange(0, grid[i] + 1))\n", - "ax[0].grid()\n", - "\n", - "im1 = ax[1].imshow(history[0], cmap='copper', interpolation='nearest', origin='lower', extent=(0, 31, 0, 21))\n", - "ax[1].set_title(\"terminal condition (t=T)\")\n", - "\n", - "# im2 = ax[2].imshow(history[1], cmap='copper', interpolation='nearest', origin='lower', extent=(0, 31, 0, 21))\n", - "# ax[2].set_title(\"at t=T/2\")\n", - "\n", - "im3 = ax[2].imshow(history[2], cmap='copper', interpolation='nearest', origin='lower', extent=(0, 31, 0, 21))\n", - "ax[2].set_title(\"at t=0\")\n", + "axs[0].set(\n", + " title=\"advector field (constant in time)\",\n", + " xlabel='y/Δy',\n", + " ylabel='x/Δx',\n", + ")\n", + "axs[0].grid()\n", "\n", - "pyplot.colorbar(im1, ax=ax[1], shrink=0.8, label='instrument value ($)')\n", - "# pyplot.colorbar(im2, ax=ax[2], shrink=0.8, label='instrument value ($)')\n", - "# pyplot.colorbar(im3, ax=ax[3], shrink=0.8, label='instrument value ($)')\n", + "for i, xy in enumerate(('x', 'y')):\n", + " getattr(axs[0], f\"set_{xy}ticks\")(np.arange(0, grid[i] + 1))\n", "\n", - "ax[0].set_xlabel('y/Δy')\n", - "ax[1].set_xlabel('y/Δy')\n", - "ax[2].set_xlabel('y/Δy')\n", - "# ax[3].set_xlabel('y/Δy')\n", - "ax[0].set_ylabel('x/Δx')\n", - "ax[1].set_ylabel('x/Δx')\n", - "ax[2].set_ylabel('x/Δx')\n", - "# ax[3].set_xlabel('x/Δx')\n", + "vmax = np.amax(history[0])\n", + "for i, title in enumerate((\"advectee terminal condition (t=T)\", \"advectee at t=T/2\", \"advectee at t=0\")):\n", + " im = axs[i + 1].imshow(\n", + " history[i],\n", + " cmap='copper',\n", + " interpolation='nearest',\n", + " origin='lower',\n", + " extent=(0, ny, 0, nx),\n", + " norm=colors.Normalize(vmin=0, vmax=vmax))\n", + " axs[i + 1].set_title(title)\n", + "pyplot.colorbar(im, ax=axs, shrink=0.3, pad=.04, label='instrument value ($)', orientation=\"horizontal\")\n", "\n", - "fig.tight_layout()\n", + "for ax in axs:\n", + " ax.set_xlabel('y/Δy')\n", + " ax.set_ylabel('x/Δx')\n", + " ax.set_xticks(range(ny+1), [\"\" if i%2!=0 else f\"{i}\" for i in range(ny+1)])\n", + " ax.set_yticks(range(nx+1), [\"\" if i%2!=0 else f\"{i}\" for i in range(nx+1)])\n", "\n", "show_plot('advectee_over_time.pdf')" - ], - "id": "cec62b5610d9b908", - "outputs": [ - { - "data": { - "text/plain": [ - "
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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "HBox(children=(HTML(value=\".\\\\advectee_over_time.pdf Date: Sun, 27 Apr 2025 03:05:24 +0200 Subject: [PATCH 08/40] nan imshow logic fix --- .../Magnuszewski_et_al_2025/figs.ipynb | 1890 ++++++++--------- 1 file changed, 945 insertions(+), 945 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb index ee408227..93874303 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb @@ -2160,7 +2160,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 71, "id": "cec62b5610d9b908", "metadata": { "ExecuteTime": { @@ -2180,7 +2180,7 @@ " \n", " \n", " \n", - " 2025-04-27T02:47:04.872474\n", + " 2025-04-27T03:04:51.645766\n", " image/svg+xml\n", " \n", " \n", @@ -2211,9 +2211,9 @@ "z\n", "\" style=\"fill: #ffffff\"/>\n", " \n", - " \n", + " \n", " \n", + 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stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8098,11 +8098,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8110,11 +8110,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8122,11 +8122,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8134,11 +8134,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8146,11 +8146,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8158,11 +8158,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8170,11 +8170,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8182,11 +8182,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8194,11 +8194,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8206,11 +8206,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8218,11 +8218,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8230,11 +8230,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8242,11 +8242,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8254,11 +8254,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8266,11 +8266,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8278,11 +8278,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8290,11 +8290,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8302,11 +8302,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8314,11 +8314,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8326,11 +8326,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8338,11 +8338,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8350,11 +8350,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8362,11 +8362,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8374,11 +8374,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8386,11 +8386,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8398,11 +8398,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8410,11 +8410,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8422,11 +8422,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8434,11 +8434,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8446,11 +8446,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8458,11 +8458,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8519,16 +8519,16 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8565,11 +8565,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8577,11 +8577,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8621,11 +8621,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8633,11 +8633,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8672,11 +8672,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8684,11 +8684,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8734,11 +8734,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8746,11 +8746,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8805,11 +8805,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8817,11 +8817,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8852,11 +8852,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8864,11 +8864,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8883,11 +8883,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8895,11 +8895,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8914,11 +8914,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8926,11 +8926,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8945,11 +8945,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8957,11 +8957,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8976,11 +8976,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8988,11 +8988,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9007,11 +9007,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1281eba70b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9434,232 +9434,232 @@ "z\n", "\" style=\"fill: #ffffff\"/>\n", " \n", - " \n", + " \n", " \n", + 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\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9677,7 +9677,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9690,14 +9690,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9710,14 +9710,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9730,14 +9730,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9750,14 +9750,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9770,14 +9770,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9791,14 +9791,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9812,14 +9812,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9833,14 +9833,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9854,14 +9854,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9875,14 +9875,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9896,7 +9896,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10004,232 +10004,232 @@ "z\n", "\" style=\"fill: #ffffff\"/>\n", " \n", - " \n", + " \n", " \n", + 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\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10247,7 +10247,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10260,14 +10260,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10280,14 +10280,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10300,14 +10300,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10320,14 +10320,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10340,14 +10340,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10361,14 +10361,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10382,14 +10382,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10403,14 +10403,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10424,14 +10424,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10445,14 +10445,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10466,7 +10466,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10532,15 +10532,15 @@ "z\n", "\" style=\"fill: #ffffff\"/>\n", " \n", - " \n", + " \n", " \n", + 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id=\"image7c664bfebe\" transform=\"scale(1 -1) translate(0 -195.84)\" x=\"40.603125\" y=\"-724.606125\" width=\"288.72\" height=\"195.84\"/>\n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10553,14 +10553,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10573,14 +10573,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10593,14 +10593,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10613,14 +10613,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10633,14 +10633,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10654,14 +10654,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10675,14 +10675,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10696,14 +10696,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10717,14 +10717,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10738,14 +10738,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10759,14 +10759,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10780,14 +10780,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10801,14 +10801,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10822,14 +10822,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10843,14 +10843,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10898,7 +10898,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10916,7 +10916,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10929,14 +10929,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10949,14 +10949,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10969,14 +10969,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10989,14 +10989,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11009,14 +11009,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11030,14 +11030,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11051,14 +11051,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11072,14 +11072,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11093,14 +11093,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11114,14 +11114,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11135,7 +11135,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11200,12 +11200,12 @@ "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", + "iVBORw0KGgoAAAANSUhEUgAAAP8AAAANCAYAAABmUrjYAAAAr0lEQVR4nO3TQQ7CMAxE0Rnf/86woIhiJSWN2M1/m8hSXdlNx5IetmRbpdc5rS1Z89qWypbV6tNz0/rUV7P66Lusj76v91qqPuePuXf273Pv7H/5PRb373Pv7D/8Hjf373Pu7N/v8b1vlZd2H/6jN3cf3attSdIx1OdUq0fPrfT96z0XfSUAkQg/EIrwA6EIPxCK8AOhCD8QivADoQg/EIrwA6EIPxCK8AOhCD8Q6gkBRANeY1brpgAAAABJRU5ErkJggg==\" id=\"image199127c652\" transform=\"scale(1 -1) translate(0 -9.36)\" x=\"92.88\" y=\"-964.08\" width=\"183.6\" height=\"9.36\"/>\n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11218,7 +11218,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11232,7 +11232,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11246,7 +11246,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11260,7 +11260,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11380,16 +11380,16 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11405,7 +11405,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "375651f84bd44af1a39369e24cf521e2", + "model_id": "a67c032d7e874c81b345ada668d2d502", "version_major": 2, "version_minor": 0 }, @@ -11427,7 +11427,7 @@ "im = axs[0].imshow(np.full_like(history[0], np.nan),\n", " origin='lower',\n", " extent=(0, ny, 0, nx),\n", - " norm=colors.Normalize(vmin=0, vmax=vmax))\n", + ")\n", "axs[0].quiver(*np.mgrid[\n", " 1/2 : grid[0] : 1,\n", " 1/2 : grid[1] : 1,\n", From 31198379b0b1dbdcff30f2b8f2fe6eb69604684d Mon Sep 17 00:00:00 2001 From: Sylwester Arabas Date: Sun, 27 Apr 2025 03:15:05 +0200 Subject: [PATCH 09/40] int div // --- examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb index 93874303..9cf00e32 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb @@ -2150,10 +2150,10 @@ "outputs": [], "source": [ "history = [simulation.solver.advectee.get().copy()]\n", - "for i in range(nt/2):\n", + "for i in range(nt//2):\n", " simulation.step()\n", "history.append(simulation.solver.advectee.get().copy())\n", - "for i in range(nt/2):\n", + "for i in range(nt//2):\n", " simulation.step()\n", "history.append(simulation.solver.advectee.get().copy())" ] From 3bc8f88581cb7b5d5cf5ccfde60bc059b862ace6 Mon Sep 17 00:00:00 2001 From: pawel Date: Mon, 28 Apr 2025 12:20:47 +0200 Subject: [PATCH 10/40] removed numba flag; added ref to mc code --- .../Magnuszewski_et_al_2025/monte_carlo.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py index b86c0baa..559cb062 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py @@ -1,11 +1,14 @@ -import os +""" +This code is a Python numba-fied implementation of the Monte Carlo method for pricing Asian options taken from +[Numerical Methods in Finance with C++](ISBN 9781107003712) +""" + from functools import cached_property, lru_cache, partial from typing import Callable import numba import numpy as np -os.environ["NUMBA_OPT"] = "3" jit = partial(numba.jit, fastmath=True, error_model="numpy", cache=True, nogil=True) # pylint: disable=too-few-public-methods From 20ca5933fb024449bddbd3f2c930f2b040a87a83 Mon Sep 17 00:00:00 2001 From: pawel Date: Mon, 28 Apr 2025 13:12:26 +0200 Subject: [PATCH 11/40] adressed some issues before merge --- .../Magnuszewski_et_al_2025/asian_option.py | 123 +- .../Magnuszewski_et_al_2025/figs.ipynb | 11380 +--------------- 2 files changed, 165 insertions(+), 11338 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py index 3eaacb75..debf3105 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py @@ -17,43 +17,24 @@ ) from PyMPDATA.impl.traversals_common import make_fill_halos_loop -OPTIONS = { - "n_iters": 3, - "infinite_gauge": False, - "nonoscillatory": True, - "divergent_flow": False, - "third_order_terms": False, - "non_zero_mu_coeff": True, -} -# pylint: disable=too-few-public-methods, too-many-lines, global-statement, abstract-method - +# pylint: disable=too-few-public-methods, too-many-lines, global-statement, abstract-method class Settings: - params = SimpleNamespace( - T=1, - sgma=0.1, - r=0.1, - K=100, - ) - - S_min = 50 - S_max = 200 - def __init__(self, T, sgma, r, K, S_min, S_max): - self.params.T = T - self.params.sgma = sgma - self.params.r = r - self.params.K = K + self.T = T + self.sgma = sgma + self.r = r + self.K = K self.S_min = S_min self.S_max = S_max self.rh = None def payoff(self, A: np.ndarray, da: np.float32 = 0, variant="call"): def call(x): - return np.maximum(0, x - self.params.K) + return np.maximum(0, x - self.K) def put(x): - return np.maximum(0, self.params.K - x) + return np.maximum(0, self.K - x) if variant == "call": payoff_func = call @@ -112,12 +93,12 @@ def fill_halos_scalar(psi, span, sign): class Simulation: - def __init__(self, settings, *, nx, ny, nt, variant="call"): + def __init__(self, settings, *, nx, ny, nt, OPTIONS, variant="call"): self.nx = nx self.nt = nt self.settings = settings self.ny = ny - self.dt = settings.params.T / self.nt + self.dt = settings.T / self.nt log_s_min = np.log(settings.S_min) log_s_max = np.log(settings.S_max) self.S = np.exp(np.linspace(log_s_min, log_s_max, self.nx)) @@ -127,10 +108,8 @@ def __init__(self, settings, *, nx, ny, nt, variant="call"): self.dx = (log_s_max - log_s_min) / self.nx self.settings = settings self.step_number = 0 - sigma_squared = pow(settings.params.sgma, 2) - courant_number_x = ( - -(0.5 * sigma_squared - settings.params.r) * (-self.dt) / self.dx - ) + sigma_squared = pow(settings.sgma, 2) + courant_number_x = -(0.5 * sigma_squared - settings.r) * (-self.dt) / self.dx self.l2 = self.dx * self.dx / sigma_squared / self.dt self.mu_coeff = (0.5 / self.l2, 0) assert ( @@ -152,7 +131,7 @@ def __init__(self, settings, *, nx, ny, nt, variant="call"): stepper=stepper, advectee=ScalarField( self.payoff_2d.astype(dtype=options.dtype) - * np.exp(-self.settings.params.r * self.settings.params.T), + * np.exp(-self.settings.r * self.settings.T), halo=options.n_halo, boundary_conditions=self.boundary_conditions, ), @@ -174,26 +153,25 @@ def a_dim_advector(self): @property def boundary_conditions(self): - raise NotImplementedError() + return ( + Extrapolated(OUTER), + Extrapolated(INNER), + ) def add_half_rhs(self): - raise NotImplementedError() + pass def free_boundary(self, t): - raise NotImplementedError() + pass def step(self): global _t - _t = self.settings.params.T - (self.step_number + 0.5) * self.dt - + _t = self.settings.T - (self.step_number + 0.5) * self.dt self.add_half_rhs() self.free_boundary(t=_t) - self.solver.advance(1, self.mu_coeff) - self.add_half_rhs() self.free_boundary(t=_t) - self.step_number += 1 @@ -202,72 +180,11 @@ class _Asian(Simulation): def payoff_2d(self): return np.repeat([self.payoff], self.nx, axis=0) - def free_boundary(self, t): - pass - - @cached_property - def boundary_conditions(self): - return ( - Extrapolated(OUTER), - Extrapolated(INNER), - ) - class AsianArithmetic(_Asian): @property def a_dim_advector(self): a_dim_advector = np.zeros((self.nx, self.ny + 1)) for i in range(self.ny + 1): - a_dim_advector[:, i] = -self.dt / self.dy * self.S / self.settings.params.T - return a_dim_advector - - def add_half_rhs(self): - pass - - -class AsianGeometric(_Asian): - @property - def a_dim_advector(self): - a_dim_advector = np.zeros((self.nx, self.ny + 1)) - A_edg = np.arange(self.ny + 1) * self.dy - for i in range(self.ny + 1): - a_dim_advector[:, i] = ( - -self.dt - / self.dy - * np.log(self.S) - * (A_edg[i] - self.dy / 2) - / self.settings.params.T - ) + a_dim_advector[:, i] = -self.dt / self.dy * self.S / self.settings.T return a_dim_advector - - def add_half_rhs(self): - pass - - -class European(Simulation): - @cached_property - def a_dim_advector(self): - return np.zeros((self.nx, self.ny + 1)) - - def add_half_rhs(self): - pass - - @cached_property - def payoff_2d(self): - return np.repeat(self.payoff.reshape(self.nx, 1), self.ny, axis=1) - - def free_boundary(self, t): - pass - - @cached_property - def boundary_conditions(self): - return ( - Extrapolated(OUTER), - Extrapolated(INNER), - ) - - -class American(European): - def free_boundary(self, t): - psi = self.solver.advectee.get() - psi[:] = np.maximum(psi, self.payoff_2d / np.exp(self.settings.params.r * t)) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb index 9cf00e32..66a0dd9e 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb @@ -24,29 +24,32 @@ }, { "cell_type": "code", - "execution_count": 1, "id": "46a0acde935c96dd", - "metadata": {}, - "outputs": [], + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-28T10:54:40.508573Z", + "start_time": "2025-04-28T10:54:40.463064Z" + } + }, "source": [ "import sys\n", "if 'google.colab' in sys.modules:\n", " !pip --quiet install open-atmos-jupyter-utils\n", " from open_atmos_jupyter_utils import pip_install_on_colab\n", " pip_install_on_colab('PyMPDATA-examples')" - ] + ], + "outputs": [], + "execution_count": 1 }, { "cell_type": "code", - "execution_count": 21, "id": "initial_id", "metadata": { "ExecuteTime": { - "end_time": "2025-04-26T16:50:03.270648Z", - "start_time": "2025-04-26T16:50:00.902394Z" + "end_time": "2025-04-28T10:54:43.051157Z", + "start_time": "2025-04-28T10:54:40.508573Z" } }, - "outputs": [], "source": [ "import numpy as np\n", "from matplotlib import pyplot, colors\n", @@ -55,19 +58,41 @@ "from PyMPDATA_examples.Magnuszewski_et_al_2025.monte_carlo import BSModel, FixedStrikeArithmeticAsianOption\n", "from PyMPDATA_examples.utils.financial_formulae import Black_Scholes_1973\n", "import PyMPDATA_examples.utils.financial_formulae.asian_option as asian_analytic" - ] + ], + "outputs": [], + "execution_count": 2 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-28T10:54:43.186192Z", + "start_time": "2025-04-28T10:54:43.170533Z" + } + }, + "cell_type": "code", + "source": [ + "OPTIONS = {\n", + " \"n_iters\": 3,\n", + " \"infinite_gauge\": False,\n", + " \"nonoscillatory\": True,\n", + " \"divergent_flow\": False,\n", + " \"third_order_terms\": False,\n", + " \"non_zero_mu_coeff\": True,\n", + " }" + ], + "id": "67f09798470f325a", + "outputs": [], + "execution_count": 3 }, { "cell_type": "code", - "execution_count": 22, "id": "36c8cddbab1b738c", "metadata": { "ExecuteTime": { - "end_time": "2025-04-26T18:37:44.709699Z", - "start_time": "2025-04-26T18:37:44.664898Z" + "end_time": "2025-04-28T11:03:26.230808Z", + "start_time": "2025-04-28T11:03:26.200976Z" } }, - "outputs": [], "source": [ "def plot_solution(\n", " settings,\n", @@ -79,8 +104,8 @@ " variant,\n", " s_space_edges\n", "):\n", - " params = {\n", - " k: v for k, v in settings.params.__dict__.items() if not k.startswith(\"K\")\n", + " params_truncated = {\n", + " k: v for k, v in settings.__dict__.items() if not k.startswith(\"K\")\n", " }\n", " if variant == \"call\":\n", " euro_price_func = Black_Scholes_1973.c_euro\n", @@ -96,7 +121,7 @@ " clipped_s_space,\n", " (\n", " euro_price_func(\n", - " S=clipped_s_space, K=settings.params.K, **params, b=settings.params.r\n", + " S=clipped_s_space, K=settings.K, T=settings.T, r=settings.r, b=settings.r, sgma=settings.sgma\n", " )\n", " ),\n", " label=\"European analytic (Black-Scholes '73)\",\n", @@ -130,7 +155,7 @@ " clipped_s_space,\n", " (\n", " geometric_price_func(\n", - " S=clipped_s_space, K=settings.params.K, **params, dividend_yield=0\n", + " S=clipped_s_space, K=settings.K, T=settings.T, r=settings.r, dividend_yield=0, sgma=settings.sgma\n", " )\n", " ),\n", " label=\"Asian geometric analytic (Kemna & Vorst 1990)\",\n", @@ -148,11275 +173,133 @@ " ax.grid()\n", " ax.set_xlabel(\"spot price at t=0 ($)\")\n", " ax.set_ylabel(\"instrument value ($)\")" - ] + ], + "outputs": [], + "execution_count": 11 }, { "cell_type": "code", - "execution_count": 9, "id": "f0b7762f7354aa1d", "metadata": { "ExecuteTime": { - "end_time": "2025-04-26T18:49:36.754924Z", - "start_time": "2025-04-26T18:49:36.734928Z" + "end_time": "2025-04-28T11:10:21.412790Z", + "start_time": "2025-04-28T11:09:05.923126Z" } }, - "outputs": [], "source": [ - "def run_numeric_and_mc(params, nx=21, ny=31, nt=1000, variant='call'):\n", - " s_max = params.get('S_max', params['spot']*2)\n", - " s_min = params.get('S_min', params['spot']/2)\n", - " settings = Settings(T=params['T'], K=params['K'], r=params['r'], sgma=params['sgma'], S_max=s_max, S_min=s_min)\n", - " simulation = AsianArithmetic(settings, nx=nx, ny=ny, nt=nt, variant=variant)\n", - " \n", - " history = []\n", - " for _ in range(simulation.nt):\n", - " simulation.step()\n", - " history.append(simulation.solver.advectee.get().copy())\n", - " arithmetic_by_mc = np.zeros_like(simulation.S)\n", - " for idx, spot in enumerate(simulation.S):\n", - " model = BSModel(spot, settings.params.r, settings.params.sgma, settings.params.T, 1000)\n", - " arithmetic_option = FixedStrikeArithmeticAsianOption(settings.params.T, settings.params.K, variant, model, 100000)\n", - " arithmetic_by_mc[idx], _ = arithmetic_option.price_by_mc()\n", - " s_space_edges = np.exp(np.linspace(np.log(simulation.S[0])-simulation.dx/2, np.log(simulation.S[-1])+simulation.dx/2, nx+1))\n", - " _, ax = pyplot.subplots(1, 1, figsize=(8, 4))\n", - " plot_solution(settings=settings,\n", - " frame_index=-1,\n", - " ax=ax,\n", - " history=history,\n", - " # arithmetic_by_mc=history[-1][:,0],\n", - " arithmetic_by_mc=arithmetic_by_mc,\n", - " S_linspace=simulation.S,\n", - " variant=variant,\n", - " s_space_edges=s_space_edges)\n", - " show_plot('numeric_vs_analytic.pdf')" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "dad2cdf1f7913899", - "metadata": { - "ExecuteTime": { - "end_time": "2025-04-26T18:50:54.354321Z", - "start_time": "2025-04-26T18:49:37.390066Z" - } - }, + "params = {\n", + " 'T': 1,\n", + " 'K': 100,\n", + " 'r': 0.08,\n", + " 'sgma': 0.4,\n", + " 'spot': 100,\n", + " 's_max': 200,\n", + " 's_min': 50,\n", + " }\n", + "nx = 21\n", + "ny = 31\n", + "nt = 500\n", + "settings = Settings(T=params['T'], K=params['K'], r=params['r'], sgma=params['sgma'], S_max=params['s_max'], S_min=params['s_min'])\n", + "simulation = AsianArithmetic(settings, nx=nx, ny=ny, nt=nt, OPTIONS=OPTIONS, variant='call')\n", + "\n", + "history = []\n", + "for _ in range(simulation.nt):\n", + " simulation.step()\n", + " history.append(simulation.solver.advectee.get().copy())\n", + "arithmetic_by_mc = np.zeros_like(simulation.S)\n", + "for idx, spot in enumerate(simulation.S):\n", + " model = BSModel(spot, settings.r, settings.sgma, settings.T, 1000)\n", + " arithmetic_option = FixedStrikeArithmeticAsianOption(settings.T, settings.K, 'call', model, 100000)\n", + " arithmetic_by_mc[idx], _ = arithmetic_option.price_by_mc()\n", + "s_space_edges = np.exp(np.linspace(np.log(simulation.S[0])-simulation.dx/2, np.log(simulation.S[-1])+simulation.dx/2, nx+1))\n", + "_, ax = pyplot.subplots(1, 1, figsize=(8, 4))\n", + "plot_solution(settings=settings,\n", + " frame_index=-1,\n", + " ax=ax,\n", + " history=history,\n", + " # arithmetic_by_mc=history[-1][:,0],\n", + " arithmetic_by_mc=arithmetic_by_mc,\n", + " S_linspace=simulation.S,\n", + " variant='call',\n", + " s_space_edges=s_space_edges)\n", + "show_plot('numeric_vs_analytic.pdf')" + ], "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " 2025-04-27T02:02:04.865306\n", - " image/svg+xml\n", - " \n", - " \n", - " Matplotlib v3.8.1, https://matplotlib.org/\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "HBox(children=(HTML(value=\".\\\\advectee_over_time.pdf Date: Mon, 28 Apr 2025 13:16:42 +0200 Subject: [PATCH 12/40] pylint --- .../PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py | 1 - .../PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py | 3 ++- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py index debf3105..a5ae2a8d 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py @@ -1,5 +1,4 @@ from functools import cached_property, lru_cache -from types import SimpleNamespace import numba import numpy as np diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py index 559cb062..5c5128cf 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py @@ -1,5 +1,6 @@ """ -This code is a Python numba-fied implementation of the Monte Carlo method for pricing Asian options taken from +This code is a Python numba-fied implementation of the Monte Carlo method +for pricing Asian options taken from [Numerical Methods in Finance with C++](ISBN 9781107003712) """ From b89aa46a76f01cd20f70c3acf70dea2609a5c8a1 Mon Sep 17 00:00:00 2001 From: pawel Date: Mon, 28 Apr 2025 17:46:06 +0200 Subject: [PATCH 13/40] pylint --- examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb | 3 --- 1 file changed, 3 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb index 66a0dd9e..d4307554 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb @@ -104,9 +104,6 @@ " variant,\n", " s_space_edges\n", "):\n", - " params_truncated = {\n", - " k: v for k, v in settings.__dict__.items() if not k.startswith(\"K\")\n", - " }\n", " if variant == \"call\":\n", " euro_price_func = Black_Scholes_1973.c_euro\n", " geometric_price_func = asian_analytic.geometric_asian_average_price_c\n", From da2dc273ac95bcd9429b1c6cf8d06c2c841e2131 Mon Sep 17 00:00:00 2001 From: pawel Date: Mon, 28 Apr 2025 20:20:42 +0200 Subject: [PATCH 14/40] doi for mc code --- docs/bibliography.json | 7 +++++++ .../Magnuszewski_et_al_2025/monte_carlo.py | 2 +- 2 files changed, 8 insertions(+), 1 deletion(-) diff --git a/docs/bibliography.json b/docs/bibliography.json index a819bba9..51d81aee 100644 --- a/docs/bibliography.json +++ b/docs/bibliography.json @@ -186,5 +186,12 @@ ], "label": "Smolarkiewicz and Pudykiewicz 1992 (J. Atmos. Sci. 49)", "title": "A Class of Semi-Lagrangian Approximations for Fluids" + }, + "https://doi.org/10.1017/CBO9781139017404": { + "usages": [ + "examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py" + ], + "label": "Capiński and Zastawniak 2012 (Cambridge University Press)", + "title": "Numerical Methods in Finance with C++" } } diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py index 5c5128cf..f92f207c 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py @@ -1,7 +1,7 @@ """ This code is a Python numba-fied implementation of the Monte Carlo method for pricing Asian options taken from -[Numerical Methods in Finance with C++](ISBN 9781107003712) +[Numerical Methods in Finance with C++](https://doi.org/10.1017/CBO9781139017404) """ from functools import cached_property, lru_cache, partial From 2c24f60894f01c8e6083b44c94416aaa26732bb0 Mon Sep 17 00:00:00 2001 From: pawel Date: Mon, 28 Apr 2025 20:29:30 +0200 Subject: [PATCH 15/40] added to example gallery --- examples/docs/pympdata_examples_landing.md | 22 ++++++++++++---------- 1 file changed, 12 insertions(+), 10 deletions(-) diff --git a/examples/docs/pympdata_examples_landing.md b/examples/docs/pympdata_examples_landing.md index f2860a59..c203e24c 100644 --- a/examples/docs/pympdata_examples_landing.md +++ b/examples/docs/pympdata_examples_landing.md @@ -22,16 +22,18 @@ The examples are grouped by the dimensionality of the computational grid. | advection equation, [double-pass donor-cell option](https://osti.gov/biblio/7049237) | `PyMPDATA_examples.DPDC` | ## in 2D -| tags | link | -|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| Boussinesq system for buoyancy-driven flow
$$\begin{eqnarray}\partial_t \vec{v}+\nabla\cdot\left(\vec{v}\otimes\vec{v}\right)=-\nabla\pi-\vec{g}\frac{\theta^\prime}{\theta_0}~\\\ \partial_t\theta+\nabla\cdot\left(\vec{v}\theta\right)=0~\\\ \nabla\cdot\\vec{v}=0\end{eqnarray}$$ | `PyMPDATA_examples.Jaruga_et_al_2015`
boussinesq-2d | -| advection-diffusion equation
$$ \partial_t (\psi) + \nabla \cdot (u \psi) + \mu \Delta (\psi) = 0 $$ | `PyMPDATA_examples.advection_diffusion_2d`*
adv-diff | -| Spectral-spatial advection, particle population condensational growth in a vertical column of air, time dependent flow | `PyMPDATA_examples.Shipway_and_Hill_2012`
spectral-spatial | -| shallow-water equations
$$\begin{eqnarray} \partial_t h + \partial_x (uh) + \partial_y (vh) &=& 0~ \\\ \partial_t (uh) + \partial_x ( uuh) + \partial_y (vuh) &=& - h \partial_x h~ \\\ \partial_t (vh) + \partial_x ( uvh) + \partial_y (vvh) &=& - h \partial_y h~ \end{eqnarray}$$ | `PyMPDATA_examples.Jarecka_et_al_2015`* | -| advection equation, solid body rotation | `PyMPDATA_examples.Molenkamp_test_as_in_Jaruga_et_al_2015_Fig_12`* | -| advection equation, solid body rotation | `PyMPDATA_examples.wikipedia_example`*
Wikipedia example | -| advection equation, coordinate transformation, spherical coordinates, see also examples in [PyMPDATA-MPI](https://pypi.org/project/PyMPDATA-MPI/) $$ \partial_t (G \psi) + \nabla \cdot (Gu \psi) = 0 $$ | `PyMPDATA_examples.Williamson_and_Rasch_1989_as_in_Jaruga_et_al_2015_Fig_14`
mpi-gif | -| advection equation, comparison against DG solution using [Trixi.jl](https://trixi-framework.github.io/) ([Ranocha et al. 2022](https://doi.org/10.21105/jcon.00077)) | `PyMPDATA_examples.trixi_comparison` | +| tags | link | +|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| Boussinesq system for buoyancy-driven flow
$$\begin{eqnarray}\partial_t \vec{v}+\nabla\cdot\left(\vec{v}\otimes\vec{v}\right)=-\nabla\pi-\vec{g}\frac{\theta^\prime}{\theta_0}~\\\ \partial_t\theta+\nabla\cdot\left(\vec{v}\theta\right)=0~\\\ \nabla\cdot\\vec{v}=0\end{eqnarray}$$ | `PyMPDATA_examples.Jaruga_et_al_2015`
boussinesq-2d | +| advection-diffusion equation
$$ \partial_t (\psi) + \nabla \cdot (u \psi) + \mu \Delta (\psi) = 0 $$ | `PyMPDATA_examples.advection_diffusion_2d`*
adv-diff | +| Spectral-spatial advection, particle population condensational growth in a vertical column of air, time dependent flow | `PyMPDATA_examples.Shipway_and_Hill_2012`
spectral-spatial | +| shallow-water equations
$$\begin{eqnarray} \partial_t h + \partial_x (uh) + \partial_y (vh) &=& 0~ \\\ \partial_t (uh) + \partial_x ( uuh) + \partial_y (vuh) &=& - h \partial_x h~ \\\ \partial_t (vh) + \partial_x ( uvh) + \partial_y (vvh) &=& - h \partial_y h~ \end{eqnarray}$$ | `PyMPDATA_examples.Jarecka_et_al_2015`* | +| advection equation, solid body rotation | `PyMPDATA_examples.Molenkamp_test_as_in_Jaruga_et_al_2015_Fig_12`* | +| advection equation, solid body rotation | `PyMPDATA_examples.wikipedia_example`*
Wikipedia example | +| advection equation, coordinate transformation, spherical coordinates, see also examples in [PyMPDATA-MPI](https://pypi.org/project/PyMPDATA-MPI/) $$ \partial_t (G \psi) + \nabla \cdot (Gu \psi) = 0 $$ | `PyMPDATA_examples.Williamson_and_Rasch_1989_as_in_Jaruga_et_al_2015_Fig_14`
mpi-gif | +| advection equation, comparison against DG solution using [Trixi.jl](https://trixi-framework.github.io/) ([Ranocha et al. 2022](https://doi.org/10.21105/jcon.00077)) | `PyMPDATA_examples.trixi_comparison` | +| Black-Scholes equation, option pricing
$$ \frac{\partial f}{\partial t} + rS \frac{\partial f}{\partial S} + \frac{\sigma^2}{2} S^2 \frac{\partial^2 f}{\partial S^2} + \frac{dA}{dt}\frac{\partial f}{\partial A} - rf = 0$$ | `PyMPDATA_examples.Magnuszewski_et_al_2025` | + ## in 3D | tags | link | |:------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------| From cc5679f0bfb5e42d0d05a1fe4cba387c32da7493 Mon Sep 17 00:00:00 2001 From: pawel Date: Mon, 28 Apr 2025 20:30:03 +0200 Subject: [PATCH 16/40] further pylint fixes --- .../Magnuszewski_et_al_2025/asian_option.py | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py index a5ae2a8d..6efa76d3 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py @@ -17,7 +17,7 @@ from PyMPDATA.impl.traversals_common import make_fill_halos_loop -# pylint: disable=too-few-public-methods, too-many-lines, global-statement, abstract-method +# pylint: disable=too-few-public-methods class Settings: def __init__(self, T, sgma, r, K, S_min, S_max): self.T = T @@ -45,7 +45,7 @@ def put(x): return output -_t = np.nan +# _t = np.nan @lru_cache() @@ -93,6 +93,7 @@ def fill_halos_scalar(psi, span, sign): class Simulation: def __init__(self, settings, *, nx, ny, nt, OPTIONS, variant="call"): + self._t = np.nan self.nx = nx self.nt = nt self.settings = settings @@ -164,13 +165,13 @@ def free_boundary(self, t): pass def step(self): - global _t - _t = self.settings.T - (self.step_number + 0.5) * self.dt + # global _t + self._t = self.settings.T - (self.step_number + 0.5) * self.dt self.add_half_rhs() - self.free_boundary(t=_t) + self.free_boundary(t=self._t) self.solver.advance(1, self.mu_coeff) self.add_half_rhs() - self.free_boundary(t=_t) + self.free_boundary(t=self._t) self.step_number += 1 From c5d03eaeffe4255349cf95a75098ccf529d71b54 Mon Sep 17 00:00:00 2001 From: pawel Date: Mon, 28 Apr 2025 20:47:03 +0200 Subject: [PATCH 17/40] comments to code and overall notebook logic --- .../Magnuszewski_et_al_2025/figs.ipynb | 94 +++++++++++++------ 1 file changed, 66 insertions(+), 28 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb index d4307554..ded41c1d 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb @@ -19,6 +19,9 @@ "\n", "## arithmetic Asian call valuation\n", "\n", + "we aim to price the arithmetic Asian call option using the MPDATA solver, by solving the following PDE:\n", + "$$ \\frac{\\partial f}{\\partial t} + rS \\frac{\\partial f}{\\partial S} + \\frac{\\sigma^2}{2} S^2 \\frac{\\partial^2 f}{\\partial S^2} + \\frac{S}{T}\\frac{\\partial f}{\\partial A} - rf = 0$$\n", + "\n", "### Figures: 1, 2" ] }, @@ -27,8 +30,8 @@ "id": "46a0acde935c96dd", "metadata": { "ExecuteTime": { - "end_time": "2025-04-28T10:54:40.508573Z", - "start_time": "2025-04-28T10:54:40.463064Z" + "end_time": "2025-04-28T18:30:57.799168Z", + "start_time": "2025-04-28T18:30:57.750653Z" } }, "source": [ @@ -46,8 +49,8 @@ "id": "initial_id", "metadata": { "ExecuteTime": { - "end_time": "2025-04-28T10:54:43.051157Z", - "start_time": "2025-04-28T10:54:40.508573Z" + "end_time": "2025-04-28T18:31:04.566741Z", + "start_time": "2025-04-28T18:30:57.814791Z" } }, "source": [ @@ -65,8 +68,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2025-04-28T10:54:43.186192Z", - "start_time": "2025-04-28T10:54:43.170533Z" + "end_time": "2025-04-28T18:31:08.030573Z", + "start_time": "2025-04-28T18:31:08.014945Z" } }, "cell_type": "code", @@ -84,13 +87,28 @@ "outputs": [], "execution_count": 3 }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "### Figure 1\n", + "\n", + "in this section we aim to: \n", + "- calculate the arithmetic Asian call option price using the MPDATA solver \n", + "- price the arithmetic Asian call option using the Monte Carlo method for the same spot prices\n", + "- calculate European call option price using the Black-Scholes formula for the same option parameters\n", + "- calculate geometric Asian call option price using the Kemna & Vorst formula for the same option parameters\n", + "- put all the above on the same plot" + ], + "id": "42b0657d57d35752" + }, { "cell_type": "code", "id": "36c8cddbab1b738c", "metadata": { "ExecuteTime": { - "end_time": "2025-04-28T11:03:26.230808Z", - "start_time": "2025-04-28T11:03:26.200976Z" + "end_time": "2025-04-28T18:31:08.707056Z", + "start_time": "2025-04-28T18:31:08.668222Z" } }, "source": [ @@ -110,10 +128,11 @@ " else:\n", " euro_price_func = Black_Scholes_1973.p_euro\n", " geometric_price_func = asian_analytic.geometric_asian_average_price_p\n", + " # ranges for plotting\n", " range_lower, range_upper = 80, 120\n", " s_indexes_within_range = [i for i, v in enumerate(S_linspace) if range_lower<=v<=range_upper]\n", - " # s_indexes_within_range = list(range(len(S_linspace)))\n", " clipped_s_space = S_linspace[s_indexes_within_range]\n", + " # plot European option price as a somewhat upper bound\n", " ax.plot(\n", " clipped_s_space,\n", " (\n", @@ -148,6 +167,7 @@ " marker=\"+\",\n", " c=\"blue\"\n", " )\n", + " # plot Asian option price as a somewhat lower bound\n", " ax.plot(\n", " clipped_s_space,\n", " (\n", @@ -159,6 +179,7 @@ " linestyle=\"--\",\n", " c=\"green\"\n", " )\n", + " # we need to define those functions to get the second top axis showcasing the discretization better\n", " def forward(x):\n", " return np.interp(x, S_linspace, np.arange(len(S_linspace))+.5)\n", " def inverse(x):\n", @@ -172,15 +193,15 @@ " ax.set_ylabel(\"instrument value ($)\")" ], "outputs": [], - "execution_count": 11 + "execution_count": 4 }, { "cell_type": "code", "id": "f0b7762f7354aa1d", "metadata": { "ExecuteTime": { - "end_time": "2025-04-28T11:10:21.412790Z", - "start_time": "2025-04-28T11:09:05.923126Z" + "end_time": "2025-04-28T18:34:00.483632Z", + "start_time": "2025-04-28T18:31:13.013015Z" } }, "source": [ @@ -199,15 +220,18 @@ "settings = Settings(T=params['T'], K=params['K'], r=params['r'], sgma=params['sgma'], S_max=params['s_max'], S_min=params['s_min'])\n", "simulation = AsianArithmetic(settings, nx=nx, ny=ny, nt=nt, OPTIONS=OPTIONS, variant='call')\n", "\n", + "# run the MPDATA solver\n", "history = []\n", "for _ in range(simulation.nt):\n", " simulation.step()\n", " history.append(simulation.solver.advectee.get().copy())\n", + "# calculate the arithmetic Asian option price by Monte Carlo for the same spot prices\n", "arithmetic_by_mc = np.zeros_like(simulation.S)\n", "for idx, spot in enumerate(simulation.S):\n", " model = BSModel(spot, settings.r, settings.sgma, settings.T, 1000)\n", " arithmetic_option = FixedStrikeArithmeticAsianOption(settings.T, settings.K, 'call', model, 100000)\n", " arithmetic_by_mc[idx], _ = arithmetic_option.price_by_mc()\n", + "# get the edges of finite volumes\n", "s_space_edges = np.exp(np.linspace(np.log(simulation.S[0])-simulation.dx/2, np.log(simulation.S[-1])+simulation.dx/2, nx+1))\n", "_, ax = pyplot.subplots(1, 1, figsize=(8, 4))\n", "plot_solution(settings=settings,\n", @@ -227,7 +251,7 @@ "text/plain": [ "
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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n" + "image/svg+xml": "\n\n\n \n \n \n \n 2025-04-28T20:34:00.391097\n image/svg+xml\n \n \n Matplotlib v3.7.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n" }, "metadata": {}, "output_type": "display_data" @@ -240,22 +264,36 @@ "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, - "model_id": "b7323f854cff441a975830a3f7788419" + "model_id": "160bb0049d12454582cc53c86a5af3c8" } }, "metadata": {}, "output_type": "display_data" } ], - "execution_count": 15 + "execution_count": 5 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "### Figure 2 - advectee field dynamics\n", + "\n", + "in this section we aim to:\n", + "- calculate the arithmetic Asian call option price using the MPDATA solver\n", + "- extract the advector field from the solver\n", + "- extract the advectee field from the solver at T=T, t=T/2, t=0 timesteps\n", + "- put all the above on the 4 plots" + ], + "id": "2c77a0e43ca77caf" }, { "cell_type": "code", "id": "9d01d891-f67d-4abf-9b5d-6bbafc43a40c", "metadata": { "ExecuteTime": { - "end_time": "2025-04-28T11:11:26.689503Z", - "start_time": "2025-04-28T11:11:26.225281Z" + "end_time": "2025-04-28T18:34:12.774981Z", + "start_time": "2025-04-28T18:34:12.113301Z" } }, "source": [ @@ -266,15 +304,15 @@ "simulation = AsianArithmetic(settings, nx=nx, ny=ny, nt=nt, variant=\"call\", OPTIONS=OPTIONS)" ], "outputs": [], - "execution_count": 17 + "execution_count": 6 }, { "cell_type": "code", "id": "aa6eb20a-6335-4229-bde7-7c5d861820d5", "metadata": { "ExecuteTime": { - "end_time": "2025-04-28T11:11:33.948714Z", - "start_time": "2025-04-28T11:11:26.712155Z" + "end_time": "2025-04-28T18:34:21.485294Z", + "start_time": "2025-04-28T18:34:13.934425Z" } }, "source": [ @@ -286,22 +324,22 @@ "history.append(simulation.solver.advectee.get().copy())" ], "outputs": [], - "execution_count": 18 + "execution_count": 7 }, { "cell_type": "code", "id": "cec62b5610d9b908", "metadata": { "ExecuteTime": { - "end_time": "2025-04-28T11:11:40.669706Z", - "start_time": "2025-04-28T11:11:35.918698Z" + "end_time": "2025-04-28T18:34:29.482320Z", + "start_time": "2025-04-28T18:34:24.607639Z" } }, "source": [ "fig, axs = pyplot.subplots(4, 1, figsize=(11, 20), sharex=True, sharey=True)\n", "\n", - "X = simulation.solver.advector.get_component(0)[:-1,:]\n", - "Y = simulation.solver.advector.get_component(1)[:,:-1]\n", + "X = simulation.solver.advector.get_component(0)[:-1,:] # get the left edge x advectors\n", + "Y = simulation.solver.advector.get_component(1)[:,1:] # get the top edge y advectors\n", "grid = (X.shape[1], Y.shape[0])\n", "scale_x, scale_y = np.amax(np.abs(X)), np.amax(np.abs(Y))\n", "im = axs[0].imshow(np.full_like(history[0], np.nan),\n", @@ -354,7 +392,7 @@ "text/plain": [ "
" ], - "image/svg+xml": "\n\n\n \n \n \n \n 2025-04-28T13:11:40.175815\n image/svg+xml\n \n \n Matplotlib v3.7.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n" + "image/svg+xml": "\n\n\n \n \n \n \n 2025-04-28T20:34:29.013570\n image/svg+xml\n \n \n Matplotlib v3.7.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n" }, "metadata": {}, "output_type": "display_data" @@ -367,14 +405,14 @@ "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, - "model_id": "5e137b1299d44595bbfcb12ab38e0c20" + "model_id": "cff102fc84174ee8bc24721205088473" } }, "metadata": {}, "output_type": "display_data" } ], - "execution_count": 19 + "execution_count": 8 }, { "cell_type": "code", From 20a7f31b8d7cc6a8d55c4dc1806cf4b004aaf462 Mon Sep 17 00:00:00 2001 From: pawel Date: Mon, 28 Apr 2025 20:58:21 +0200 Subject: [PATCH 18/40] pylint --- .../Magnuszewski_et_al_2025/asian_option.py | 4 +- .../Magnuszewski_et_al_2025/figs.ipynb | 51 ++++++++++--------- 2 files changed, 29 insertions(+), 26 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py index 6efa76d3..c8b615e3 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py @@ -175,13 +175,11 @@ def step(self): self.step_number += 1 -class _Asian(Simulation): +class AsianArithmetic(Simulation): @cached_property def payoff_2d(self): return np.repeat([self.payoff], self.nx, axis=0) - -class AsianArithmetic(_Asian): @property def a_dim_advector(self): a_dim_advector = np.zeros((self.nx, self.ny + 1)) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb index ded41c1d..ea32b886 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb @@ -30,8 +30,8 @@ "id": "46a0acde935c96dd", "metadata": { "ExecuteTime": { - "end_time": "2025-04-28T18:30:57.799168Z", - "start_time": "2025-04-28T18:30:57.750653Z" + "end_time": "2025-04-28T18:54:13.434680Z", + "start_time": "2025-04-28T18:54:13.387261Z" } }, "source": [ @@ -49,8 +49,8 @@ "id": "initial_id", "metadata": { "ExecuteTime": { - "end_time": "2025-04-28T18:31:04.566741Z", - "start_time": "2025-04-28T18:30:57.814791Z" + "end_time": "2025-04-28T18:54:16.000592Z", + "start_time": "2025-04-28T18:54:13.440710Z" } }, "source": [ @@ -68,8 +68,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2025-04-28T18:31:08.030573Z", - "start_time": "2025-04-28T18:31:08.014945Z" + "end_time": "2025-04-28T18:54:16.126059Z", + "start_time": "2025-04-28T18:54:16.103883Z" } }, "cell_type": "code", @@ -107,8 +107,8 @@ "id": "36c8cddbab1b738c", "metadata": { "ExecuteTime": { - "end_time": "2025-04-28T18:31:08.707056Z", - "start_time": "2025-04-28T18:31:08.668222Z" + "end_time": "2025-04-28T18:54:16.188558Z", + "start_time": "2025-04-28T18:54:16.157308Z" } }, "source": [ @@ -200,8 +200,8 @@ "id": "f0b7762f7354aa1d", "metadata": { "ExecuteTime": { - "end_time": "2025-04-28T18:34:00.483632Z", - "start_time": "2025-04-28T18:31:13.013015Z" + "end_time": "2025-04-28T18:56:42.984760Z", + "start_time": "2025-04-28T18:54:16.215353Z" } }, "source": [ @@ -251,7 +251,7 @@ "text/plain": [ "
" ], - "image/svg+xml": "\n\n\n \n \n \n \n 2025-04-28T20:34:00.391097\n image/svg+xml\n \n \n Matplotlib v3.7.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n" + "image/svg+xml": "\n\n\n \n \n \n \n 2025-04-28T20:56:42.874962\n image/svg+xml\n \n \n Matplotlib v3.7.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n" }, "metadata": {}, "output_type": "display_data" @@ -264,7 +264,7 @@ "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, - "model_id": "160bb0049d12454582cc53c86a5af3c8" + "model_id": "c3d8794f78e24d83b4bd31e030f63504" } }, "metadata": {}, @@ -292,8 +292,8 @@ "id": "9d01d891-f67d-4abf-9b5d-6bbafc43a40c", "metadata": { "ExecuteTime": { - "end_time": "2025-04-28T18:34:12.774981Z", - "start_time": "2025-04-28T18:34:12.113301Z" + "end_time": "2025-04-28T18:56:43.373848Z", + "start_time": "2025-04-28T18:56:43.038756Z" } }, "source": [ @@ -311,8 +311,8 @@ "id": "aa6eb20a-6335-4229-bde7-7c5d861820d5", "metadata": { "ExecuteTime": { - "end_time": "2025-04-28T18:34:21.485294Z", - "start_time": "2025-04-28T18:34:13.934425Z" + "end_time": "2025-04-28T18:56:48.080736Z", + "start_time": "2025-04-28T18:56:43.406622Z" } }, "source": [ @@ -331,8 +331,8 @@ "id": "cec62b5610d9b908", "metadata": { "ExecuteTime": { - "end_time": "2025-04-28T18:34:29.482320Z", - "start_time": "2025-04-28T18:34:24.607639Z" + "end_time": "2025-04-28T18:56:50.563865Z", + "start_time": "2025-04-28T18:56:48.100802Z" } }, "source": [ @@ -392,7 +392,7 @@ "text/plain": [ "
" ], - "image/svg+xml": "\n\n\n \n \n \n \n 2025-04-28T20:34:29.013570\n image/svg+xml\n \n \n Matplotlib v3.7.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n" + "image/svg+xml": "\n\n\n \n \n \n \n 2025-04-28T20:56:50.266199\n image/svg+xml\n \n \n Matplotlib v3.7.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n" }, "metadata": {}, "output_type": "display_data" @@ -405,7 +405,7 @@ "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, - "model_id": "cff102fc84174ee8bc24721205088473" + "model_id": "1832d7a26d4b401aacddd899fd5041c8" } }, "metadata": {}, @@ -416,11 +416,16 @@ }, { "cell_type": "code", - "execution_count": null, "id": "42b2965d6e6f73a5", - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-28T18:56:50.625623Z", + "start_time": "2025-04-28T18:56:50.609161Z" + } + }, + "source": [], "outputs": [], - "source": [] + "execution_count": null } ], "metadata": { From a93a95b46b1119d8c08a2a97dba19d55cb3bd1d2 Mon Sep 17 00:00:00 2001 From: Sylwester Arabas Date: Tue, 29 Apr 2025 00:46:37 +0200 Subject: [PATCH 19/40] reinstantiate all yml workflow files --- .github/workflows/joss.yml.off | 29 ------------- .github/workflows/pdoc.yml.off | 50 ---------------------- .github/workflows/pypi.yml.off | 57 ------------------------- .github/workflows/readme_julia.yml.off | 28 ------------ .github/workflows/readme_matlab.yml.off | 44 ------------------- .github/workflows/readme_python.yml.off | 40 ----------------- .github/workflows/readme_rust.yml.off | 43 ------------------- .github/workflows/stale_issues.yml.off | 30 ------------- 8 files changed, 321 deletions(-) delete mode 100644 .github/workflows/joss.yml.off delete mode 100644 .github/workflows/pdoc.yml.off delete mode 100644 .github/workflows/pypi.yml.off delete mode 100644 .github/workflows/readme_julia.yml.off delete mode 100644 .github/workflows/readme_matlab.yml.off delete mode 100644 .github/workflows/readme_python.yml.off delete mode 100644 .github/workflows/readme_rust.yml.off delete mode 100644 .github/workflows/stale_issues.yml.off diff --git a/.github/workflows/joss.yml.off b/.github/workflows/joss.yml.off deleted file mode 100644 index ac414649..00000000 --- a/.github/workflows/joss.yml.off +++ /dev/null @@ -1,29 +0,0 @@ -name: Build JOSS paper draft - -on: - push: - branches: - - main - pull_request: - branches: - - main - -jobs: - paper: - runs-on: ubuntu-latest - name: Paper Draft - steps: - - name: Checkout - uses: actions/checkout@v2 - - name: TeX and PDF - uses: docker://openjournals/paperdraft:latest - with: - args: '-k paper/paper.md' - env: - GIT_SHA: $GITHUB_SHA - JOURNAL: joss - - name: Upload - uses: actions/upload-artifact@v4 - with: - name: paper - path: paper/ diff --git a/.github/workflows/pdoc.yml.off b/.github/workflows/pdoc.yml.off deleted file mode 100644 index f39d3ca8..00000000 --- a/.github/workflows/pdoc.yml.off +++ /dev/null @@ -1,50 +0,0 @@ -name: pdoc - -defaults: - run: - shell: bash - -on: - push: - branches: [ main ] - pull_request: - branches: [ main ] - schedule: - - cron: '0 13 * * 4' - -jobs: - pdoc: - strategy: - matrix: - platform: [ubuntu-latest, macos-latest, windows-latest] - runs-on: ${{ matrix.platform }} - steps: - - uses: actions/checkout@v2 - with: - submodules: recursive - persist-credentials: false - - uses: actions/setup-python@v5.2.0 - with: - python-version: 3.9 - - env: - JUPYTER_PLATFORM_DIRS: 1 - run: | - pip install pdoc nbformat gitpython - pip install -e . -e ./examples - python -We docs/generate_html.py . . - - python - <&1 | tee build.log - exit `fgrep -v "warning: no previously-included files matching" buid.log | fgrep -i warning | wc -l` - twine check --strict dist/* - exit `tar tzf dist/*.tar.gz | fgrep ".ipynb" | wc -l` - cd .. - - - if: github.event_name == 'push' && github.ref == 'refs/heads/main' - uses: pypa/gh-action-pypi-publish@release/v1.12 - with: - attestations: false - repository_url: https://test.pypi.org/legacy/ - packages-dir: ${{ matrix.package-dir }}/dist - - - if: startsWith(github.ref, 'refs/tags') - uses: pypa/gh-action-pypi-publish@release/v1.12 - with: - attestations: false - packages-dir: ${{ matrix.package-dir }}/dist diff --git a/.github/workflows/readme_julia.yml.off b/.github/workflows/readme_julia.yml.off deleted file mode 100644 index 24619d83..00000000 --- a/.github/workflows/readme_julia.yml.off +++ /dev/null @@ -1,28 +0,0 @@ -name: readme_julia - -defaults: - run: - shell: bash - -on: - push: - branches: [ main ] - pull_request: - branches: [ main ] - schedule: - - cron: '0 13 * * 4' - -jobs: - julia: - runs-on: ubuntu-latest - steps: - - uses: actions/checkout@v2 - - uses: actions/setup-python@v1 - with: - python-version: 3.9 - - run: pip install -e . - - run: pip install pytest-codeblocks pytest - - run: python -c "import pytest_codeblocks; code=pytest_codeblocks.extract_from_file('docs/markdown/pympdata_landing.md'); f=open('readme.jl', 'w'); f.writelines(block.code for block in code if block.syntax=='Julia'); f.close()" - - run: cat readme.jl - - uses: julia-actions/setup-julia@v1 - - run: julia readme.jl diff --git a/.github/workflows/readme_matlab.yml.off b/.github/workflows/readme_matlab.yml.off deleted file mode 100644 index 7ce3f9e7..00000000 --- a/.github/workflows/readme_matlab.yml.off +++ /dev/null @@ -1,44 +0,0 @@ -name: readme_matlab - -defaults: - run: - shell: bash - -on: - push: - branches: [ main ] - pull_request: - branches: [ main ] - schedule: - - cron: '0 13 * * 4' - -jobs: - matlab: - strategy: - matrix: - # https://www.mathworks.com/support/requirements/python-compatibility.html - include: - - matlab-version: "R2021b" - python-version: "3.9" - - matlab-version: "R2024b" - python-version: "3.12" - runs-on: ubuntu-latest - steps: - - uses: actions/checkout@v4.2.2 - - uses: actions/setup-python@v5.3.0 - with: - python-version: ${{ matrix.python-version }} - - run: pip install -e . - - run: pip install pytest-codeblocks pytest - - run: python -c "import pytest_codeblocks; code=pytest_codeblocks.extract_from_file('docs/markdown/pympdata_landing.md'); f=open('readme.m', 'w'); f.writelines(block.code for block in code if block.syntax=='Matlab'); f.close()" - - run: cat readme.m - - uses: matlab-actions/setup-matlab@v2.3.0 - with: - release: ${{ matrix.matlab-version }} - - uses: matlab-actions/run-command@v2.1.1 - with: - command: pe=pyenv; assert(pe.Version == "${{ matrix.python-version }}"); - - run: echo NUMBA_NUM_THREADS=1 >> $GITHUB_ENV - - uses: matlab-actions/run-command@v2.1.1 - with: - command: readme diff --git a/.github/workflows/readme_python.yml.off b/.github/workflows/readme_python.yml.off deleted file mode 100644 index 8984ae70..00000000 --- a/.github/workflows/readme_python.yml.off +++ /dev/null @@ -1,40 +0,0 @@ -name: readme_python - -defaults: - run: - shell: bash - -on: - push: - branches: [ main ] - pull_request: - branches: [ main ] - schedule: - - cron: '0 13 * * 4' - -jobs: - python: - runs-on: ubuntu-latest - steps: - - uses: actions/checkout@v2 - - uses: actions/setup-python@v1 - with: - python-version: 3.9 - - run: pip install -e . - - run: pip install pytest-codeblocks pytest matplotlib - - run: python -c "import pytest_codeblocks; code=pytest_codeblocks.extract_from_file('docs/markdown/pympdata_landing.md'); f=open('readme.py', 'w'); f.writelines(block.code for block in code if block.syntax=='Python'); f.close()" - - run: python -We readme.py - - run: cat readme.py - - run: ls readme_grid.png - - run: ls readme_gauss_0.png - - run: ls readme_gauss.png - - - name: artefacts - if: github.ref == 'refs/heads/main' - uses: eine/tip@master - with: - token: ${{ secrets.GITHUB_TOKEN }} - files: | - readme_grid.png - readme_gauss_0.png - readme_gauss.png diff --git a/.github/workflows/readme_rust.yml.off b/.github/workflows/readme_rust.yml.off deleted file mode 100644 index 45c39f14..00000000 --- a/.github/workflows/readme_rust.yml.off +++ /dev/null @@ -1,43 +0,0 @@ -name: readme_rust - -defaults: - run: - shell: bash - -on: - push: - branches: [ main ] - pull_request: - branches: [ main ] - schedule: - - cron: '0 13 * * 4' - -jobs: - rust: - runs-on: ubuntu-latest - steps: - - uses: actions/checkout@v2 - - uses: dtolnay/rust-toolchain@stable - with: - components: rust-src - - uses: actions/setup-python@v5 - with: - python-version: 3.9 - - run: pip install -e . - - run: pip install pytest-codeblocks pytest - - - run: | - cat >Cargo.toml < Date: Tue, 29 Apr 2025 01:08:48 +0200 Subject: [PATCH 20/40] code cleanups, advector approximation for quiver --- .../Magnuszewski_et_al_2025/asian_option.py | 78 +- .../Magnuszewski_et_al_2025/figs.ipynb | 11319 +++++++++++++++- 2 files changed, 11224 insertions(+), 173 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py index c8b615e3..efef1ccc 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py @@ -1,20 +1,11 @@ -from functools import cached_property, lru_cache +from functools import cached_property -import numba import numpy as np from PyMPDATA_examples.utils.discretisation import discretised_analytical_solution from PyMPDATA import Options, ScalarField, Solver, Stepper, VectorField from PyMPDATA.boundary_conditions import Extrapolated -from PyMPDATA.impl.enumerations import ( - ARG_FOCUS, - INNER, - META_AND_DATA_DATA, - META_AND_DATA_META, - OUTER, - SIGN_RIGHT, -) -from PyMPDATA.impl.traversals_common import make_fill_halos_loop +from PyMPDATA.impl.enumerations import INNER, OUTER # pylint: disable=too-few-public-methods @@ -45,55 +36,8 @@ def put(x): return output -# _t = np.nan - - -@lru_cache() -# pylint: disable=too-many-arguments -def _make_scalar_custom( - dim, eps, ats, set_value, halo, dtype, jit_flags, data, inner_or_outer -): - @numba.njit(**jit_flags) - def impl(focus_psi, span, sign): - focus = focus_psi[0] - i = min(max(0, focus[inner_or_outer] - halo), span - 1) - if sign == SIGN_RIGHT: - edg = span + halo - 1 - focus_psi[ARG_FOCUS][dim] - den = ats(*focus_psi, edg - 1) - ats(*focus_psi, edg - 2) - nom = ats(*focus_psi, edg) - ats(*focus_psi, edg - 1) - cnst = nom / den if abs(den) > eps else 0 - return max( - ats(*focus_psi, -1) - + (ats(*focus_psi, -1) - ats(*focus_psi, -2)) * cnst, - 0, - ) - return data[i] - - if dtype == complex: - - @numba.njit(**jit_flags) - def fill_halos_scalar(psi, span, sign): - return complex( - impl( - (psi[META_AND_DATA_META], psi[META_AND_DATA_DATA].real), span, sign - ), - impl( - (psi[META_AND_DATA_META], psi[META_AND_DATA_DATA].imag), span, sign - ), - ) - - else: - - @numba.njit(**jit_flags) - def fill_halos_scalar(psi, span, sign): - return impl(psi, span, sign) - - return make_fill_halos_loop(jit_flags, set_value, fill_halos_scalar) - - class Simulation: def __init__(self, settings, *, nx, ny, nt, OPTIONS, variant="call"): - self._t = np.nan self.nx = nx self.nt = nt self.settings = settings @@ -107,7 +51,6 @@ def __init__(self, settings, *, nx, ny, nt, OPTIONS, variant="call"): ) self.dx = (log_s_max - log_s_min) / self.nx self.settings = settings - self.step_number = 0 sigma_squared = pow(settings.sgma, 2) courant_number_x = -(0.5 * sigma_squared - settings.r) * (-self.dt) / self.dx self.l2 = self.dx * self.dx / sigma_squared / self.dt @@ -158,21 +101,8 @@ def boundary_conditions(self): Extrapolated(INNER), ) - def add_half_rhs(self): - pass - - def free_boundary(self, t): - pass - - def step(self): - # global _t - self._t = self.settings.T - (self.step_number + 0.5) * self.dt - self.add_half_rhs() - self.free_boundary(t=self._t) - self.solver.advance(1, self.mu_coeff) - self.add_half_rhs() - self.free_boundary(t=self._t) - self.step_number += 1 + def step(self, nt=1): + self.solver.advance(n_steps=nt, mu_coeff=self.mu_coeff) class AsianArithmetic(Simulation): diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb index ea32b886..b2ce7b82 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb @@ -27,6 +27,7 @@ }, { "cell_type": "code", + "execution_count": 1, "id": "46a0acde935c96dd", "metadata": { "ExecuteTime": { @@ -34,18 +35,18 @@ "start_time": "2025-04-28T18:54:13.387261Z" } }, + "outputs": [], "source": [ "import sys\n", "if 'google.colab' in sys.modules:\n", " !pip --quiet install open-atmos-jupyter-utils\n", " from open_atmos_jupyter_utils import pip_install_on_colab\n", " pip_install_on_colab('PyMPDATA-examples')" - ], - "outputs": [], - "execution_count": 1 + ] }, { "cell_type": "code", + "execution_count": 2, "id": "initial_id", "metadata": { "ExecuteTime": { @@ -53,6 +54,7 @@ "start_time": "2025-04-28T18:54:13.440710Z" } }, + "outputs": [], "source": [ "import numpy as np\n", "from matplotlib import pyplot, colors\n", @@ -61,18 +63,19 @@ "from PyMPDATA_examples.Magnuszewski_et_al_2025.monte_carlo import BSModel, FixedStrikeArithmeticAsianOption\n", "from PyMPDATA_examples.utils.financial_formulae import Black_Scholes_1973\n", "import PyMPDATA_examples.utils.financial_formulae.asian_option as asian_analytic" - ], - "outputs": [], - "execution_count": 2 + ] }, { + "cell_type": "code", + "execution_count": 3, + "id": "67f09798470f325a", "metadata": { "ExecuteTime": { "end_time": "2025-04-28T18:54:16.126059Z", "start_time": "2025-04-28T18:54:16.103883Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "OPTIONS = {\n", " \"n_iters\": 3,\n", @@ -82,14 +85,12 @@ " \"third_order_terms\": False,\n", " \"non_zero_mu_coeff\": True,\n", " }" - ], - "id": "67f09798470f325a", - "outputs": [], - "execution_count": 3 + ] }, { - "metadata": {}, "cell_type": "markdown", + "id": "42b0657d57d35752", + "metadata": {}, "source": [ "### Figure 1\n", "\n", @@ -99,11 +100,11 @@ "- calculate European call option price using the Black-Scholes formula for the same option parameters\n", "- calculate geometric Asian call option price using the Kemna & Vorst formula for the same option parameters\n", "- put all the above on the same plot" - ], - "id": "42b0657d57d35752" + ] }, { "cell_type": "code", + "execution_count": 4, "id": "36c8cddbab1b738c", "metadata": { "ExecuteTime": { @@ -111,6 +112,7 @@ "start_time": "2025-04-28T18:54:16.157308Z" } }, + "outputs": [], "source": [ "def plot_solution(\n", " settings,\n", @@ -122,16 +124,20 @@ " variant,\n", " s_space_edges\n", "):\n", - " if variant == \"call\":\n", - " euro_price_func = Black_Scholes_1973.c_euro\n", - " geometric_price_func = asian_analytic.geometric_asian_average_price_c\n", - " else:\n", - " euro_price_func = Black_Scholes_1973.p_euro\n", - " geometric_price_func = asian_analytic.geometric_asian_average_price_p\n", + " euro_price_func = {\n", + " \"call\": Black_Scholes_1973.c_euro,\n", + " \"put\": Black_Scholes_1973.p_euro,\n", + " }[variant]\n", + " geometric_price_func = {\n", + " \"call\": asian_analytic.geometric_asian_average_price_c,\n", + " \"put\": asian_analytic.geometric_asian_average_price_p,\n", + " }[variant]\n", + "\n", " # ranges for plotting\n", " range_lower, range_upper = 80, 120\n", " s_indexes_within_range = [i for i, v in enumerate(S_linspace) if range_lower<=v<=range_upper]\n", " clipped_s_space = S_linspace[s_indexes_within_range]\n", + "\n", " # plot European option price as a somewhat upper bound\n", " ax.plot(\n", " clipped_s_space,\n", @@ -167,6 +173,7 @@ " marker=\"+\",\n", " c=\"blue\"\n", " )\n", + "\n", " # plot Asian option price as a somewhat lower bound\n", " ax.plot(\n", " clipped_s_space,\n", @@ -179,6 +186,7 @@ " linestyle=\"--\",\n", " c=\"green\"\n", " )\n", + "\n", " # we need to define those functions to get the second top axis showcasing the discretization better\n", " def forward(x):\n", " return np.interp(x, S_linspace, np.arange(len(S_linspace))+.5)\n", @@ -191,12 +199,11 @@ " ax.grid()\n", " ax.set_xlabel(\"spot price at t=0 ($)\")\n", " ax.set_ylabel(\"instrument value ($)\")" - ], - "outputs": [], - "execution_count": 4 + ] }, { "cell_type": "code", + "execution_count": 5, "id": "f0b7762f7354aa1d", "metadata": { "ExecuteTime": { @@ -204,6 +211,1921 @@ "start_time": "2025-04-28T18:54:16.215353Z" } }, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2025-04-29T01:01:25.331009\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.8.1, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b01c57ac163e45d3a95dbd7171b0cb6d", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value=\"./numeric_vs_analytic.pdf" - ], - "image/svg+xml": "\n\n\n \n \n \n \n 2025-04-28T20:56:42.874962\n image/svg+xml\n \n \n Matplotlib v3.7.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "HBox(children=(HTML(value=\".\\\\numeric_vs_analytic.pdf…" - ], - "application/vnd.jupyter.widget-view+json": { - "version_major": 2, - "version_minor": 0, - "model_id": "c3d8794f78e24d83b4bd31e030f63504" - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 5 + ] }, { - "metadata": {}, "cell_type": "markdown", + "id": "2c77a0e43ca77caf", + "metadata": {}, "source": [ "### Figure 2 - advectee field dynamics\n", "\n", @@ -284,11 +2181,11 @@ "- extract the advector field from the solver\n", "- extract the advectee field from the solver at T=T, t=T/2, t=0 timesteps\n", "- put all the above on the 4 plots" - ], - "id": "2c77a0e43ca77caf" + ] }, { "cell_type": "code", + "execution_count": 6, "id": "9d01d891-f67d-4abf-9b5d-6bbafc43a40c", "metadata": { "ExecuteTime": { @@ -296,18 +2193,18 @@ "start_time": "2025-04-28T18:56:43.038756Z" } }, + "outputs": [], "source": [ "nt = 500\n", "nx = 21\n", "ny = 31\n", "settings = Settings(T=params['T'], K=params['K'], r=params['r'], sgma=params['sgma'], S_max=200, S_min=50)\n", "simulation = AsianArithmetic(settings, nx=nx, ny=ny, nt=nt, variant=\"call\", OPTIONS=OPTIONS)" - ], - "outputs": [], - "execution_count": 6 + ] }, { "cell_type": "code", + "execution_count": 7, "id": "aa6eb20a-6335-4229-bde7-7c5d861820d5", "metadata": { "ExecuteTime": { @@ -315,19 +2212,17 @@ "start_time": "2025-04-28T18:56:43.406622Z" } }, - "source": [ - "history = [simulation.solver.advectee.get().copy()]\n", - "for i in range(nt):\n", - " if i == nt//2:\n", - " history.append(simulation.solver.advectee.get().copy())\n", - " simulation.step()\n", - "history.append(simulation.solver.advectee.get().copy())" - ], "outputs": [], - "execution_count": 7 + "source": [ + "history = []\n", + "for n_steps in (0, nt//2, nt-nt//2):\n", + " simulation.step(n_steps)\n", + " history.append(simulation.solver.advectee.get().copy())" + ] }, { "cell_type": "code", + "execution_count": 8, "id": "cec62b5610d9b908", "metadata": { "ExecuteTime": { @@ -335,11 +2230,9264 @@ "start_time": 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "HBox(children=(HTML(value=\".\\\\advectee_over_time.pdf Date: Tue, 29 Apr 2025 01:11:07 +0200 Subject: [PATCH 21/40] uncomment commented workflow code --- .github/workflows/tests.yml | 232 ++++++++++++++++++------------------ 1 file changed, 116 insertions(+), 116 deletions(-) diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index 6445ab84..b9fafed7 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -55,95 +55,95 @@ jobs: nbqa pylint --disable=fixme,trailing-whitespace,wrong-import-position,wrong-import-order,ungrouped-imports \ --disable=duplicate-code,invalid-name,missing-module-docstring,line-too-long,missing-function-docstring,redefined-outer-name,too-many-arguments,no-member,too-many-locals,cell-var-from-loop,missing-class-docstring $(git ls-files '*.ipynb') -# zenodo_json: -# runs-on: ubuntu-latest -# steps: -# - uses: actions/checkout@v2 -# - uses: notiz-dev/github-action-json-property@release -# with: -# path: '.zenodo.json' -# prop_path: 'creators' - -# devops: -# runs-on: ubuntu-latest -# steps: -# - uses: actions/checkout@v2 -# with: -# submodules: recursive -# fetch-depth: 0 # https://github.com/pypa/setuptools_scm/issues/480 -# - run: pip install -r tests/devops_tests/requirements.txt -# - run: pip install -e . -e ./examples -# - env: -# GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} -# run: pytest --durations=10 -v -s -We -p no:unraisableexception -k "not run_notebooks" tests/devops_tests - -# nojit_and_codecov: -# needs: [ precommit, pylint, zenodo_json, devops ] -# runs-on: ubuntu-latest -# env: -# NUMBA_DISABLE_JIT: 1 -# steps: -# - uses: actions/checkout@master -# with: -# submodules: recursive -# fetch-depth: 0 -# - uses: actions/setup-python@v5.2.0 -# with: -# python-version: 3.9 -# - name: Generate coverage report -# run: | -# pip install -e .[tests] -e ./examples -# pip install pytest-cov -# pytest --durations=10 -We tests/unit_tests --cov-report=xml --cov=PyMPDATA -# - name: Upload coverage to Codecov -# uses: codecov/codecov-action@v4 -# with: -# token: ${{ secrets.CODECOV_TOKEN }} -# fail_ci_if_error: true -# verbose: true - -# tests: -# timeout-minutes: 120 -# needs: [nojit_and_codecov] -# strategy: -# matrix: -# platform: [ubuntu-latest, macos-13, macos-14, windows-latest] -# python-version: ["3.9", "3.12"] -# exclude: -# - platform: macos-14 -# python-version: "3.9" -# runs-on: ${{ matrix.platform }} -# steps: -# - uses: actions/checkout@v2 -# with: -# submodules: recursive -# fetch-depth: 0 -# -# - uses: actions/setup-python@v5.2.0 -# with: -# python-version: ${{ matrix.python-version }} -# -# - run: | -# python -m pip install $PIP_INSTALL_ARGS -e . # to check if usable without test/example dependencies -# python -We -c "import PyMPDATA" -# python -m pip install $PIP_INSTALL_ARGS -e .[tests] -e ./examples -# -# - if: startsWith(matrix.platform, 'ubuntu-') -# run: echo NUMBA_THREADING_LAYER=omp >> $GITHUB_ENV -# -# - env: -# NUMBA_OPT: 1 -# run: | -# python -m pytest --durations=10 -p no:unraisableexception -We tests/unit_tests -# python -m pytest --durations=10 -p no:unraisableexception -We -k "not test_timing_3d" tests/smoke_tests -# -# - env: -# NUMBA_OPT: 3 -# run: | -# python -m pytest --durations=10 -p no:unraisableexception -We -k "test_timing_3d" tests/smoke_tests + zenodo_json: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v2 + - uses: notiz-dev/github-action-json-property@release + with: + path: '.zenodo.json' + prop_path: 'creators' + + devops: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v2 + with: + submodules: recursive + fetch-depth: 0 # https://github.com/pypa/setuptools_scm/issues/480 + - run: pip install -r tests/devops_tests/requirements.txt + - run: pip install -e . -e ./examples + - env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + run: pytest --durations=10 -v -s -We -p no:unraisableexception -k "not run_notebooks" tests/devops_tests + + nojit_and_codecov: + needs: [ precommit, pylint, zenodo_json, devops ] + runs-on: ubuntu-latest + env: + NUMBA_DISABLE_JIT: 1 + steps: + - uses: actions/checkout@master + with: + submodules: recursive + fetch-depth: 0 + - uses: actions/setup-python@v5.2.0 + with: + python-version: 3.9 + - name: Generate coverage report + run: | + pip install -e .[tests] -e ./examples + pip install pytest-cov + pytest --durations=10 -We tests/unit_tests --cov-report=xml --cov=PyMPDATA + - name: Upload coverage to Codecov + uses: codecov/codecov-action@v4 + with: + token: ${{ secrets.CODECOV_TOKEN }} + fail_ci_if_error: true + verbose: true + + tests: + timeout-minutes: 120 + needs: [nojit_and_codecov] + strategy: + matrix: + platform: [ubuntu-latest, macos-13, macos-14, windows-latest] + python-version: ["3.9", "3.12"] + exclude: + - platform: macos-14 + python-version: "3.9" + runs-on: ${{ matrix.platform }} + steps: + - uses: actions/checkout@v2 + with: + submodules: recursive + fetch-depth: 0 + + - uses: actions/setup-python@v5.2.0 + with: + python-version: ${{ matrix.python-version }} + + - run: | + python -m pip install $PIP_INSTALL_ARGS -e . # to check if usable without test/example dependencies + python -We -c "import PyMPDATA" + python -m pip install $PIP_INSTALL_ARGS -e .[tests] -e ./examples + + - if: startsWith(matrix.platform, 'ubuntu-') + run: echo NUMBA_THREADING_LAYER=omp >> $GITHUB_ENV + + - env: + NUMBA_OPT: 1 + run: | + python -m pytest --durations=10 -p no:unraisableexception -We tests/unit_tests + python -m pytest --durations=10 -p no:unraisableexception -We -k "not test_timing_3d" tests/smoke_tests + + - env: + NUMBA_OPT: 3 + run: | + python -m pytest --durations=10 -p no:unraisableexception -We -k "test_timing_3d" tests/smoke_tests examples: -# needs: [nojit_and_codecov] + needs: [nojit_and_codecov] strategy: matrix: platform: [ubuntu-latest, macos-13, macos-14, windows-latest] @@ -162,19 +162,19 @@ jobs: - run: python -m pip install $PIP_INSTALL_ARGS -e .[tests] -e ./examples - run: python -m pip install $PIP_INSTALL_ARGS -r tests/devops_tests/requirements.txt -# - if: matrix.platform == 'ubuntu-latest' -# run: | -# sudo apt-get install libblitz0-dev libboost-thread-dev libboost-date-time-dev libboost-system-dev libboost-iostreams-dev libboost-timer-dev libboost-filesystem-dev -# git clone https://github.com/igfuw/libmpdataxx.git -# cd libmpdataxx/libmpdata++ -# mkdir build -# cd build -# cmake .. -# sudo make install -# cd ../../../ -# rm -rf libmpdataxx -# - uses: julia-actions/setup-julia@v2 -# - run: julia --version + - if: matrix.platform == 'ubuntu-latest' + run: | + sudo apt-get install libblitz0-dev libboost-thread-dev libboost-date-time-dev libboost-system-dev libboost-iostreams-dev libboost-timer-dev libboost-filesystem-dev + git clone https://github.com/igfuw/libmpdataxx.git + cd libmpdataxx/libmpdata++ + mkdir build + cd build + cmake .. + sudo make install + cd ../../../ + rm -rf libmpdataxx + - uses: julia-actions/setup-julia@v2 + - run: julia --version # https://github.com/numba/numba/issues/6350#issuecomment-728174860 - if: matrix.platform == 'ubuntu-latest' @@ -182,27 +182,27 @@ jobs: - env: NUMBA_OPT: 1 - run: python -m pytest --durations=10 -p no:unraisableexception -We -k Magnuszewski tests/devops_tests/test_notebooks.py + run: python -m pytest --durations=10 -p no:unraisableexception -We tests/devops_tests/test_notebooks.py -# - if: ${{ matrix.platform == 'ubuntu-latest' && matrix.python-version == '3.12'}} -# run: | -# mkdir -p /home/runner/work/_temp/_github_home/figures -# rm /tmp/pytest-of-runner/pytest-current/test_run_notebooks_examples_Pycurrent -# mv /tmp/pytest-of-runner/pytest-current/test_run_notebooks_examples_*/boussinesq_2d_anim.gif /home/runner/work/_temp/_github_home/figures -# mv /tmp/pytest-of-runner/pytest-current/test_run_notebooks_examples_*/fig_4.svg /home/runner/work/_temp/_github_home/figures -# mv /tmp/pytest-of-runner/pytest-current/test_run_notebooks_examples_*/advection_diffusion.gif /home/runner/work/_temp/_github_home/figures -# mv /tmp/pytest-of-runner/pytest-current/test_run_notebooks_examples_*/wikipedia_example.gif /home/runner/work/_temp/_github_home/figures + - if: ${{ matrix.platform == 'ubuntu-latest' && matrix.python-version == '3.12'}} + run: | + mkdir -p /home/runner/work/_temp/_github_home/figures + rm /tmp/pytest-of-runner/pytest-current/test_run_notebooks_examples_Pycurrent + mv /tmp/pytest-of-runner/pytest-current/test_run_notebooks_examples_*/boussinesq_2d_anim.gif /home/runner/work/_temp/_github_home/figures + mv /tmp/pytest-of-runner/pytest-current/test_run_notebooks_examples_*/fig_4.svg /home/runner/work/_temp/_github_home/figures + mv /tmp/pytest-of-runner/pytest-current/test_run_notebooks_examples_*/advection_diffusion.gif /home/runner/work/_temp/_github_home/figures + mv /tmp/pytest-of-runner/pytest-current/test_run_notebooks_examples_*/wikipedia_example.gif /home/runner/work/_temp/_github_home/figures # - if: ${{ failure() }} # uses: mxschmitt/action-tmate@v3 # with: # limit-access-to-actor: true -# - if: ${{ github.ref == 'refs/heads/main' && matrix.platform == 'ubuntu-latest' && matrix.python-version == '3.12'}} -# uses: eine/tip@master -# with: -# token: ${{ secrets.GITHUB_TOKEN }} -# files: | -# /github/home/figures/*.svg -# /github/home/figures/*.gif + - if: ${{ github.ref == 'refs/heads/main' && matrix.platform == 'ubuntu-latest' && matrix.python-version == '3.12'}} + uses: eine/tip@master + with: + token: ${{ secrets.GITHUB_TOKEN }} + files: | + /github/home/figures/*.svg + /github/home/figures/*.gif From 6577e8528adbfad86d108cb82d0c6f7b29eb599e Mon Sep 17 00:00:00 2001 From: Sylwester Arabas Date: Tue, 29 Apr 2025 01:13:29 +0200 Subject: [PATCH 22/40] fix notebook code --- .../Magnuszewski_et_al_2025/figs.ipynb | 1890 ++++++++--------- 1 file changed, 945 insertions(+), 945 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb index b2ce7b82..a2dc2e2d 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb @@ -2222,7 +2222,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 10, "id": "cec62b5610d9b908", "metadata": { "ExecuteTime": { @@ -2242,7 +2242,7 @@ " \n", " \n", " \n", - " 2025-04-29T01:04:49.656907\n", + " 2025-04-29T01:13:02.251004\n", " image/svg+xml\n", " \n", " \n", @@ -2273,9 +2273,9 @@ "z\n", "\" style=\"fill: #ffffff\"/>\n", " \n", - " \n", + " \n", " \n", + 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clip-path=\"url(#pb71bbe27e3)\" style=\"fill: #008000\"/>\n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: #008000\"/>\n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: #008000\"/>\n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: #008000\"/>\n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: #008000\"/>\n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: #008000\"/>\n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: #008000\"/>\n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: #008000\"/>\n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: #008000\"/>\n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: #008000\"/>\n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: #008000\"/>\n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: #008000\"/>\n", " \n", " \n", " \n", " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8160,11 +8160,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8172,11 +8172,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8184,11 +8184,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8196,11 +8196,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8208,11 +8208,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8220,11 +8220,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8232,11 +8232,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8244,11 +8244,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8256,11 +8256,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8268,11 +8268,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8280,11 +8280,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8292,11 +8292,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8304,11 +8304,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8316,11 +8316,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8328,11 +8328,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8340,11 +8340,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8352,11 +8352,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8364,11 +8364,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8376,11 +8376,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8388,11 +8388,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8400,11 +8400,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8412,11 +8412,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8424,11 +8424,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8436,11 +8436,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8448,11 +8448,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8460,11 +8460,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8472,11 +8472,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8484,11 +8484,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8496,11 +8496,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8508,11 +8508,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8520,11 +8520,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8581,16 +8581,16 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8627,11 +8627,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8639,11 +8639,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8683,11 +8683,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8695,11 +8695,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8734,11 +8734,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8746,11 +8746,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8796,11 +8796,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8808,11 +8808,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8867,11 +8867,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8879,11 +8879,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8914,11 +8914,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8926,11 +8926,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8945,11 +8945,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8957,11 +8957,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8976,11 +8976,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8988,11 +8988,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9007,11 +9007,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9019,11 +9019,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9038,11 +9038,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9050,11 +9050,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9069,11 +9069,11 @@ " \n", " \n", + "\" clip-path=\"url(#pb71bbe27e3)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9496,232 +9496,232 @@ "z\n", "\" style=\"fill: #ffffff\"/>\n", " \n", - " \n", + " \n", " \n", + 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\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9739,7 +9739,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9752,14 +9752,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9772,14 +9772,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9792,14 +9792,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9812,14 +9812,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9832,14 +9832,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9853,14 +9853,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9874,14 +9874,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9895,14 +9895,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9916,14 +9916,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9937,14 +9937,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9958,7 +9958,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10066,232 +10066,232 @@ "z\n", "\" style=\"fill: #ffffff\"/>\n", " \n", - " \n", + " \n", " \n", + 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\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10309,7 +10309,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10322,14 +10322,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10342,14 +10342,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10362,14 +10362,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10382,14 +10382,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10402,14 +10402,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10423,14 +10423,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10444,14 +10444,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10465,14 +10465,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10486,14 +10486,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10507,14 +10507,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10528,7 +10528,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10594,15 +10594,15 @@ "z\n", "\" style=\"fill: #ffffff\"/>\n", " \n", - " \n", + " \n", " \n", + "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\" id=\"image246da41e1b\" transform=\"scale(1 -1) translate(0 -195.84)\" x=\"40.603125\" y=\"-724.606125\" width=\"288.72\" height=\"195.84\"/>\n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10615,14 +10615,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10635,14 +10635,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10655,14 +10655,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10675,14 +10675,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10695,14 +10695,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10716,14 +10716,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10737,14 +10737,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10758,14 +10758,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10779,14 +10779,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10800,14 +10800,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10821,14 +10821,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10842,14 +10842,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10863,14 +10863,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10884,14 +10884,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10905,14 +10905,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10960,7 +10960,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10978,7 +10978,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10991,14 +10991,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11011,14 +11011,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11031,14 +11031,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11051,14 +11051,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11071,14 +11071,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11092,14 +11092,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11113,14 +11113,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11134,14 +11134,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11155,14 +11155,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11176,14 +11176,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11197,7 +11197,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11262,12 +11262,12 @@ "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", + "iVBORw0KGgoAAAANSUhEUgAAAP8AAAANCAYAAABmUrjYAAAAr0lEQVR4nO3TQQ7CMAxE0Rnf/86woIhiJSWN2M1/m8hSXdlNx5IetmRbpdc5rS1Z89qWypbV6tNz0/rUV7P66Lusj76v91qqPuePuXf273Pv7H/5PRb373Pv7D/8Hjf373Pu7N/v8b1vlZd2H/6jN3cf3attSdIx1OdUq0fPrfT96z0XfSUAkQg/EIrwA6EIPxCK8AOhCD8QivADoQg/EIrwA6EIPxCK8AOhCD8Q6gkBRANeY1brpgAAAABJRU5ErkJggg==\" id=\"imageae88fb950e\" transform=\"scale(1 -1) translate(0 -9.36)\" x=\"92.88\" y=\"-964.08\" width=\"183.6\" height=\"9.36\"/>\n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11280,7 +11280,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11294,7 +11294,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11308,7 +11308,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11322,7 +11322,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11442,16 +11442,16 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11467,7 +11467,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "10626f75fe864cacaa2e2137e32f3a61", + "model_id": "160226b8479d4ef59bb423ac48669285", "version_major": 2, "version_minor": 0 }, @@ -11486,7 +11486,7 @@ "X = simulation.solver.advector.get_component(0)\n", "X = (X[1:,:] + X[:-1,:])/2\n", "Y = simulation.solver.advector.get_component(1)\n", - "Y = (Y[1:,:] + Y[:-1,:])/2\n", + "Y = (Y[:,1:] + Y[:,:-1])/2\n", "\n", "grid = (X.shape[1], Y.shape[0])\n", "scale_x, scale_y = np.amax(np.abs(X)), np.amax(np.abs(Y))\n", From d4fac0029ab886607ee5b64be1c4ddf49c602f2f Mon Sep 17 00:00:00 2001 From: Sylwester Arabas Date: Tue, 29 Apr 2025 12:10:48 +0200 Subject: [PATCH 23/40] shortening simulation on CI; quantizing colors; introducing comparison with UPWIND; removing duplicate simulation run; code cleanups --- .../Magnuszewski_et_al_2025/asian_option.py | 3 +- .../Magnuszewski_et_al_2025/figs.ipynb | 2928 +++++++++-------- 2 files changed, 1622 insertions(+), 1309 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py index efef1ccc..82cc5f9f 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py @@ -37,7 +37,7 @@ def put(x): class Simulation: - def __init__(self, settings, *, nx, ny, nt, OPTIONS, variant="call"): + def __init__(self, settings, *, nx, ny, nt, options, variant="call"): self.nx = nx self.nt = nt self.settings = settings @@ -59,7 +59,6 @@ def __init__(self, settings, *, nx, ny, nt, OPTIONS, variant="call"): self.l2 > 2 ), f"Lambda squared should be more than 2 for stability {self.l2}" self.payoff = settings.payoff(A=self.A, da=self.dy, variant=variant) - options = Options(**OPTIONS) stepper = Stepper(options=options, n_dims=2) x_dim_advector = np.full( (self.nx + 1, self.ny), diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb index a2dc2e2d..797f0092 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb @@ -46,7 +46,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 18, "id": "initial_id", "metadata": { "ExecuteTime": { @@ -56,9 +56,11 @@ }, "outputs": [], "source": [ + "import os\n", "import numpy as np\n", - "from matplotlib import pyplot, colors\n", + "from matplotlib import pyplot, colors, colormaps\n", "from open_atmos_jupyter_utils import show_plot\n", + "from PyMPDATA import Options\n", "from PyMPDATA_examples.Magnuszewski_et_al_2025.asian_option import AsianArithmetic, Settings\n", "from PyMPDATA_examples.Magnuszewski_et_al_2025.monte_carlo import BSModel, FixedStrikeArithmeticAsianOption\n", "from PyMPDATA_examples.utils.financial_formulae import Black_Scholes_1973\n", @@ -67,7 +69,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 13, "id": "67f09798470f325a", "metadata": { "ExecuteTime": { @@ -78,13 +80,31 @@ "outputs": [], "source": [ "OPTIONS = {\n", - " \"n_iters\": 3,\n", - " \"infinite_gauge\": False,\n", - " \"nonoscillatory\": True,\n", - " \"divergent_flow\": False,\n", - " \"third_order_terms\": False,\n", - " \"non_zero_mu_coeff\": True,\n", - " }" + " \"UPWIND\": Options(\n", + " n_iters=1,\n", + " non_zero_mu_coeff= True,\n", + " ),\n", + " \"MPDATA\": Options(\n", + " n_iters=3,\n", + " nonoscillatory=True,\n", + " non_zero_mu_coeff= True,\n", + " )\n", + "}\n", + "\n", + "RESOLUTION = {\n", + " 'nt': 500 if 'CI' not in os.environ else 10,\n", + " 'nx': 21,\n", + " 'ny': 31,\n", + "}\n", + "\n", + "SETTINGS = Settings(\n", + " T=1,\n", + " K=100,\n", + " r=.08,\n", + " sgma=.4,\n", + " S_max=200,\n", + " S_min=50,\n", + ")" ] }, { @@ -104,7 +124,38 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 14, + "id": "59328c99-94a8-4b91-a7ad-25d66a3fa313", + "metadata": {}, + "outputs": [], + "source": [ + "output = {k:[] for k in OPTIONS.keys()}\n", + "simulation = None\n", + "for key, opts in OPTIONS.items():\n", + " simulation = AsianArithmetic(SETTINGS, **RESOLUTION, options=opts, variant='call')\n", + " for n_steps in (0, RESOLUTION['nt'] // 2, RESOLUTION['nt'] - RESOLUTION['nt'] // 2):\n", + " simulation.step(n_steps)\n", + " output[key].append(simulation.solver.advectee.get().copy())" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "e24a2ee9-80d4-4467-8dfb-239ab657f888", + "metadata": {}, + "outputs": [], + "source": [ + "# calculate the arithmetic Asian option price by Monte Carlo for the same spot prices\n", + "arithmetic_by_mc = np.zeros_like(simulation.S)\n", + "for idx, spot in enumerate(simulation.S):\n", + " model = BSModel(spot, SETTINGS.r, SETTINGS.sgma, SETTINGS.T, 1000)\n", + " arithmetic_option = FixedStrikeArithmeticAsianOption(SETTINGS.T, SETTINGS.K, 'call', model, 100000)\n", + " arithmetic_by_mc[idx], _ = arithmetic_option.price_by_mc()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, "id": "36c8cddbab1b738c", "metadata": { "ExecuteTime": { @@ -116,13 +167,14 @@ "source": [ "def plot_solution(\n", " settings,\n", - " frame_index,\n", " ax,\n", - " history,\n", + " output,\n", " S_linspace,\n", " arithmetic_by_mc,\n", " variant,\n", - " s_space_edges\n", + " s_space_edges,\n", + " range_lower=80,\n", + " range_upper=120,\n", "):\n", " euro_price_func = {\n", " \"call\": Black_Scholes_1973.c_euro,\n", @@ -134,7 +186,6 @@ " }[variant]\n", "\n", " # ranges for plotting\n", - " range_lower, range_upper = 80, 120\n", " s_indexes_within_range = [i for i, v in enumerate(S_linspace) if range_lower<=v<=range_upper]\n", " clipped_s_space = S_linspace[s_indexes_within_range]\n", "\n", @@ -147,25 +198,27 @@ " )\n", " ),\n", " label=\"European analytic (Black-Scholes '73)\",\n", - " linestyle=\"--\",\n", - " alpha=0.5,\n", - " c=\"black\"\n", - " )\n", - " ax.bar(\n", - " s_space_edges[:-1][s_indexes_within_range],\n", - " history[frame_index][:, 0][s_indexes_within_range],\n", - " width=s_space_edges[1:][s_indexes_within_range] - s_space_edges[:-1][s_indexes_within_range],\n", - " alpha=0.3,\n", - " align=\"edge\",\n", - " color=\"orange\"\n", - " )\n", - " ax.plot(\n", - " clipped_s_space,\n", - " history[frame_index][:, 0][s_indexes_within_range],\n", - " label=\"Asian arithmetic MPDATA solution\",\n", - " marker=\".\",\n", - " c=\"orange\"\n", + " linestyle=\":\",\n", + " c=\"olive\"\n", " )\n", + " colors = {\"UPWIND\": \"gray\", \"MPDATA\": \"black\"}\n", + " markers = {\"UPWIND\": \".\", \"MPDATA\": \"o\"}\n", + " for key, val in output.items():\n", + " ax.bar(\n", + " s_space_edges[:-1][s_indexes_within_range],\n", + " output[key][:, 0][s_indexes_within_range],\n", + " width=s_space_edges[1:][s_indexes_within_range] - s_space_edges[:-1][s_indexes_within_range],\n", + " alpha=0.1,\n", + " align=\"edge\",\n", + " color=colors[key]\n", + " )\n", + " ax.plot(\n", + " clipped_s_space,\n", + " output[key][:, 0][s_indexes_within_range],\n", + " label=f\"Asian arithmetic {key} solution\",\n", + " marker=markers[key],\n", + " c=colors[key]\n", + " )\n", " ax.plot(\n", " clipped_s_space,\n", " arithmetic_by_mc[s_indexes_within_range],\n", @@ -187,23 +240,24 @@ " c=\"green\"\n", " )\n", "\n", - " # we need to define those functions to get the second top axis showcasing the discretization better\n", - " def forward(x):\n", - " return np.interp(x, S_linspace, np.arange(len(S_linspace))+.5)\n", - " def inverse(x):\n", - " return np.interp(x, np.arange(len(S_linspace))+.5, S_linspace)\n", - " ax2 = ax.secondary_xaxis('top', functions=(forward , inverse))\n", - " ax2.set_xlabel(\"x/Δx\")\n", - " ax2.set_xticks(s_indexes_within_range)\n", + " ax.secondary_xaxis('top', functions=(\n", + " lambda x: np.interp(x, S_linspace, np.arange(len(S_linspace))+.5),\n", + " lambda x: np.interp(x, np.arange(len(S_linspace))+.5, S_linspace)\n", + " )).set(\n", + " xlabel=\"x/Δx\",\n", + " xticks=s_indexes_within_range,\n", + " )\n", + " ax.set(\n", + " xlabel=\"spot price at t=0 ($)\",\n", + " ylabel=\"instrument value ($)\",\n", + " )\n", " ax.legend(loc=\"upper left\")\n", - " ax.grid()\n", - " ax.set_xlabel(\"spot price at t=0 ($)\")\n", - " ax.set_ylabel(\"instrument value ($)\")" + " ax.grid()" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 16, "id": "f0b7762f7354aa1d", "metadata": { "ExecuteTime": { @@ -218,12 +272,12 @@ "\n", "\n", - "\n", + "\n", " \n", " \n", " \n", " \n", - " 2025-04-29T01:01:25.331009\n", + " 2025-04-29T11:45:52.519169\n", " image/svg+xml\n", " \n", " \n", @@ -239,8 +293,8 @@ " \n", " \n", " \n", @@ -248,8 +302,8 @@ " \n", " \n", " \n", @@ -257,8 +311,8 @@ " \n", " \n", " \n", @@ -267,17 +321,17 @@ " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -461,12 +515,12 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pa374f04439)\" style=\"fill: #808080; opacity: 0.1\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pa374f04439)\" style=\"fill: #808080; opacity: 0.1\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pa374f04439)\" style=\"fill: #808080; opacity: 0.1\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pa374f04439)\" style=\"fill: #808080; opacity: 0.1\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pa374f04439)\" style=\"fill: #808080; opacity: 0.1\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pa374f04439)\" style=\"fill: #808080; opacity: 0.1\"/>\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -626,18 +728,18 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -691,18 +793,18 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -710,18 +812,18 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -730,18 +832,18 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -750,18 +852,18 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -770,18 +872,18 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -790,18 +892,18 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -810,7 +912,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", + "L 542.803125 257.236563 \n", + "\" clip-path=\"url(#pa374f04439)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1155,12 +1257,12 @@ " \n", " \n", " \n", + "L 542.803125 222.09559 \n", + "\" clip-path=\"url(#pa374f04439)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1173,12 +1275,12 @@ " \n", " \n", " \n", + "L 542.803125 186.954617 \n", + "\" clip-path=\"url(#pa374f04439)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1192,12 +1294,12 @@ " \n", " \n", " \n", + "L 542.803125 151.813644 \n", + "\" clip-path=\"url(#pa374f04439)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1211,12 +1313,12 @@ " \n", " \n", " \n", + "L 542.803125 116.672671 \n", + "\" clip-path=\"url(#pa374f04439)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1230,12 +1332,12 @@ " \n", " \n", " \n", + "L 542.803125 81.531698 \n", + "\" clip-path=\"url(#pa374f04439)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1249,12 +1351,12 @@ " \n", " \n", " \n", + "L 542.803125 46.390726 \n", + "\" clip-path=\"url(#pa374f04439)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1416,24 +1518,24 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + "\" style=\"stroke: #808080\"/>\n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", + "\" style=\"fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #808000; stroke-width: 1.5\"/>\n", " \n", " \n", " \n", @@ -1713,17 +1845,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", + "\" style=\"fill: none; stroke: #808080; stroke-width: 1.5; stroke-linecap: square\"/>\n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", " \n", + " \n", + " \n", + " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "\n" ], "text/plain": [ - "
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" ] }, "metadata": {}, @@ -2114,7 +2347,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b01c57ac163e45d3a95dbd7171b0cb6d", + "model_id": "f491f0d26c2e478bb5d9843c1ba49c0b", "version_major": 2, "version_minor": 0 }, @@ -2127,45 +2360,20 @@ } ], "source": [ - "params = {\n", - " 'T': 1,\n", - " 'K': 100,\n", - " 'r': 0.08,\n", - " 'sgma': 0.4,\n", - " 'spot': 100,\n", - " 's_max': 200,\n", - " 's_min': 50,\n", - " }\n", - "nx = 21\n", - "ny = 31\n", - "nt = 500\n", - "settings = Settings(T=params['T'], K=params['K'], r=params['r'], sgma=params['sgma'], S_max=params['s_max'], S_min=params['s_min'])\n", - "simulation = AsianArithmetic(settings, nx=nx, ny=ny, nt=nt, OPTIONS=OPTIONS, variant='call')\n", - "\n", - "# run the MPDATA solver\n", - "history = []\n", - "for _ in range(simulation.nt):\n", - " simulation.step()\n", - " history.append(simulation.solver.advectee.get().copy())\n", - "\n", - "# calculate the arithmetic Asian option price by Monte Carlo for the same spot prices\n", - "arithmetic_by_mc = np.zeros_like(simulation.S)\n", - "for idx, spot in enumerate(simulation.S):\n", - " model = BSModel(spot, settings.r, settings.sgma, settings.T, 1000)\n", - " arithmetic_option = FixedStrikeArithmeticAsianOption(settings.T, settings.K, 'call', model, 100000)\n", - " arithmetic_by_mc[idx], _ = arithmetic_option.price_by_mc()\n", - "\n", - "# get the edges of finite volumes\n", - "s_space_edges = np.exp(np.linspace(np.log(simulation.S[0])-simulation.dx/2, np.log(simulation.S[-1])+simulation.dx/2, nx+1))\n", - "_, ax = pyplot.subplots(1, 1, figsize=(8, 4))\n", - "plot_solution(settings=settings,\n", - " frame_index=-1,\n", - " ax=ax,\n", - " history=history,\n", - " arithmetic_by_mc=arithmetic_by_mc,\n", - " S_linspace=simulation.S,\n", - " variant='call',\n", - " s_space_edges=s_space_edges)\n", + "_, ax = pyplot.subplots(1, 1, figsize=(9, 4))\n", + "plot_solution(\n", + " settings=SETTINGS,\n", + " ax=ax,\n", + " output={k:v[-1] for k,v in output.items()},\n", + " arithmetic_by_mc=arithmetic_by_mc,\n", + " S_linspace=simulation.S,\n", + " variant='call',\n", + " s_space_edges=np.exp(np.linspace(\n", + " np.log(simulation.S[0]) - simulation.dx/2,\n", + " np.log(simulation.S[-1]) + simulation.dx/2,\n", + " RESOLUTION['nx'] + 1\n", + " )),\n", + ")\n", "show_plot('numeric_vs_analytic.pdf')" ] }, @@ -2185,44 +2393,7 @@ }, { "cell_type": "code", - "execution_count": 6, - "id": "9d01d891-f67d-4abf-9b5d-6bbafc43a40c", - "metadata": { - "ExecuteTime": { - "end_time": "2025-04-28T18:56:43.373848Z", - "start_time": "2025-04-28T18:56:43.038756Z" - } - }, - "outputs": [], - "source": [ - "nt = 500\n", - "nx = 21\n", - "ny = 31\n", - "settings = Settings(T=params['T'], K=params['K'], r=params['r'], sgma=params['sgma'], S_max=200, S_min=50)\n", - "simulation = AsianArithmetic(settings, nx=nx, ny=ny, nt=nt, variant=\"call\", OPTIONS=OPTIONS)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "aa6eb20a-6335-4229-bde7-7c5d861820d5", - "metadata": { - "ExecuteTime": { - "end_time": "2025-04-28T18:56:48.080736Z", - "start_time": "2025-04-28T18:56:43.406622Z" - } - }, - "outputs": [], - "source": [ - "history = []\n", - "for n_steps in (0, nt//2, nt-nt//2):\n", - " simulation.step(n_steps)\n", - " history.append(simulation.solver.advectee.get().copy())" - ] - }, - { - "cell_type": "code", - "execution_count": 10, + "execution_count": 34, "id": "cec62b5610d9b908", "metadata": { "ExecuteTime": { @@ -2242,7 +2413,7 @@ " \n", " \n", " \n", - " 2025-04-29T01:13:02.251004\n", + " 2025-04-29T12:09:20.006089\n", " image/svg+xml\n", " \n", " \n", @@ -2273,9 +2444,9 @@ "z\n", "\" style=\"fill: #ffffff\"/>\n", "
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clip-path=\"url(#p209fd51e1d)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: #808080\"/>\n", " \n", " \n", " \n", " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8160,11 +8331,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8172,11 +8343,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8184,11 +8355,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8196,11 +8367,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8208,11 +8379,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8220,11 +8391,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8232,11 +8403,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8244,11 +8415,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8256,11 +8427,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8268,11 +8439,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8280,11 +8451,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8292,11 +8463,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8304,11 +8475,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8316,11 +8487,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8328,11 +8499,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8340,11 +8511,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8352,11 +8523,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8364,11 +8535,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8376,11 +8547,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8388,11 +8559,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8400,11 +8571,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8412,11 +8583,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8424,11 +8595,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8436,11 +8607,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8448,11 +8619,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8460,11 +8631,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8472,11 +8643,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8484,11 +8655,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8496,11 +8667,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8508,11 +8679,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8520,11 +8691,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8581,16 +8752,16 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8627,11 +8798,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8639,11 +8810,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8683,11 +8854,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8695,11 +8866,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8734,11 +8905,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8746,11 +8917,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8796,11 +8967,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8808,11 +8979,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8867,11 +9038,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8879,11 +9050,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8914,11 +9085,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8926,11 +9097,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8945,11 +9116,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8957,11 +9128,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8976,11 +9147,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8988,11 +9159,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9007,11 +9178,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9019,11 +9190,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9038,11 +9209,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9050,11 +9221,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9069,11 +9240,11 @@ " \n", " \n", + "\" clip-path=\"url(#p209fd51e1d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " 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\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9739,7 +9910,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9752,14 +9923,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9772,14 +9943,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9792,14 +9963,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9812,14 +9983,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9832,14 +10003,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9853,14 +10024,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9874,14 +10045,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9895,14 +10066,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9916,14 +10087,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9937,14 +10108,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9958,7 +10129,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10066,232 +10237,232 @@ "z\n", "\" style=\"fill: #ffffff\"/>\n", " \n", - " \n", + " \n", " \n", + 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\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10309,7 +10480,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10322,14 +10493,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10342,14 +10513,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10362,14 +10533,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10382,14 +10553,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10402,14 +10573,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10423,14 +10594,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10444,14 +10615,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10465,14 +10636,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10486,14 +10657,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10507,14 +10678,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10528,7 +10699,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10594,15 +10765,15 @@ "z\n", "\" style=\"fill: #ffffff\"/>\n", " \n", - " \n", + " \n", " \n", + 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id=\"image6376ebb448\" transform=\"scale(1 -1) translate(0 -195.84)\" x=\"40.603125\" y=\"-724.606125\" width=\"288.72\" height=\"195.84\"/>\n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10615,14 +10786,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10635,14 +10806,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10655,14 +10826,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10675,14 +10846,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10695,14 +10866,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10716,14 +10887,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10737,14 +10908,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10758,14 +10929,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10779,14 +10950,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10800,14 +10971,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10821,14 +10992,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10842,14 +11013,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10863,14 +11034,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10884,14 +11055,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10905,14 +11076,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10960,7 +11131,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10978,7 +11149,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10991,14 +11162,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11011,14 +11182,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11031,14 +11202,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11051,14 +11222,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11071,14 +11242,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11092,14 +11263,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11113,14 +11284,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11134,14 +11305,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11155,14 +11326,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11176,14 +11347,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11197,7 +11368,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11261,18 +11432,138 @@ "z\n", "\" style=\"fill: #ffffff\"/>\n", " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11280,12 +11571,12 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11294,12 +11585,12 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11308,12 +11599,12 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11322,12 +11613,12 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11442,18 +11733,21 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", + " \n", + " \n", + " \n", " \n", "\n" ], @@ -11467,7 +11761,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "160226b8479d4ef59bb423ac48669285", + "model_id": "fb0bd82993fb41b2b5ea64722d85556a", "version_major": 2, "version_minor": 0 }, @@ -11482,7 +11776,7 @@ "source": [ "fig, axs = pyplot.subplots(4, 1, figsize=(11, 20), sharex=True, sharey=True)\n", "\n", - "# approximate advectors at cell ceters\n", + "# approximate advectors at cell centers\n", "X = simulation.solver.advector.get_component(0)\n", "X = (X[1:,:] + X[:-1,:])/2\n", "Y = simulation.solver.advector.get_component(1)\n", @@ -11490,16 +11784,17 @@ "\n", "grid = (X.shape[1], Y.shape[0])\n", "scale_x, scale_y = np.amax(np.abs(X)), np.amax(np.abs(Y))\n", - "im = axs[0].imshow(np.full_like(history[0], np.nan),\n", - " origin='lower',\n", - " extent=(0, ny, 0, nx),\n", - ")\n", + "imshow_common = {\n", + " 'origin': 'lower',\n", + " 'extent': (0, grid[0], 0, grid[1]),\n", + "}\n", + "im = axs[0].imshow(np.full(grid, np.nan), **imshow_common)\n", "axs[0].quiver(*np.mgrid[\n", " 1/2 : grid[0] : 1,\n", " 1/2 : grid[1] : 1,\n", " ], Y.T.flatten()/0.8/scale_y, X.T.flatten()/scale_x, \n", " pivot='mid', \n", - " color='green', \n", + " color='gray', \n", " width=.003,\n", " scale=8, \n", " scale_units='inches'\n", @@ -11514,24 +11809,35 @@ "for i, xy in enumerate(('x', 'y')):\n", " getattr(axs[0], f\"set_{xy}ticks\")(np.arange(0, grid[i] + 1))\n", "\n", - "vmax = np.amax(history[0])\n", + "vmax = 90\n", + "assert .9 * vmax < np.amax(output[\"MPDATA\"][0]) < 1.1 * vmax\n", + "\n", + "n_colors = 20\n", + "quantized_copper = colormaps['copper'].resampled(n_colors)\n", + "newcolors = quantized_copper(np.linspace(0, 1, n_colors))\n", + "pink = np.array([248/256, 24/256, 148/256, 1])\n", + "newcolors[:1, :] = pink\n", + "cmap = colors.ListedColormap(newcolors)\n", + "\n", "for i, title in enumerate((\"advectee terminal condition (t=T)\", \"advectee at t=T/2\", \"advectee at t=0\")):\n", " im = axs[i + 1].imshow(\n", - " history[i],\n", - " cmap='copper',\n", + " output[\"MPDATA\"][i],\n", + " cmap=cmap,\n", " interpolation='nearest',\n", - " origin='lower',\n", - " extent=(0, ny, 0, nx),\n", - " norm=colors.Normalize(vmin=0, vmax=vmax))\n", + " norm=colors.Normalize(vmin=-1/(n_colors-1) * vmax, vmax=vmax),\n", + " **imshow_common,\n", + " )\n", " axs[i + 1].set_title(title)\n", "pyplot.colorbar(im, ax=axs, shrink=0.3, pad=.04, label='instrument value ($)', orientation=\"horizontal\")\n", "\n", "for ax in axs:\n", - " ax.set_xlabel('y/Δy')\n", - " ax.set_ylabel('x/Δx')\n", - " ax.set_xticks(range(ny+1), [\"\" if i%2!=0 else f\"{i}\" for i in range(ny+1)])\n", - " ax.set_yticks(range(nx+1), [\"\" if i%2!=0 else f\"{i}\" for i in range(nx+1)])\n", - "\n", + " ax.set(\n", + " xlabel='y/Δy',\n", + " ylabel='x/Δx',\n", + " )\n", + " ax.set_xticks(range(grid[0]+1), [\"\" if i%2!=0 else f\"{i}\" for i in range(grid[0]+1)])\n", + " ax.set_yticks(range(grid[1]+1), [\"\" if i%2!=0 else f\"{i}\" for i in range(grid[1]+1)])\n", + " \n", "show_plot('advectee_over_time.pdf')" ] }, @@ -11547,6 +11853,14 @@ }, "outputs": [], "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d16ed233-16b5-449c-a898-716d2895085a", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { From 10445831fe28324e190d4925c0a191e2769dd405 Mon Sep 17 00:00:00 2001 From: Sylwester Arabas Date: Tue, 29 Apr 2025 12:13:50 +0200 Subject: [PATCH 24/40] removing unused import --- .../PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py index 82cc5f9f..fd9f4550 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/asian_option.py @@ -3,7 +3,7 @@ import numpy as np from PyMPDATA_examples.utils.discretisation import discretised_analytical_solution -from PyMPDATA import Options, ScalarField, Solver, Stepper, VectorField +from PyMPDATA import ScalarField, Solver, Stepper, VectorField from PyMPDATA.boundary_conditions import Extrapolated from PyMPDATA.impl.enumerations import INNER, OUTER From 7b57d8aa9b452c26003dea27bacd965f4a676e9a Mon Sep 17 00:00:00 2001 From: Sylwester Arabas Date: Tue, 29 Apr 2025 12:18:36 +0200 Subject: [PATCH 25/40] addressing pylin hints --- .../Magnuszewski_et_al_2025/figs.ipynb | 186 +++++++++--------- 1 file changed, 93 insertions(+), 93 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb index 797f0092..f89ad65e 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb @@ -129,7 +129,7 @@ "metadata": {}, "outputs": [], "source": [ - "output = {k:[] for k in OPTIONS.keys()}\n", + "output = {k:[] for k in OPTIONS}\n", "simulation = None\n", "for key, opts in OPTIONS.items():\n", " simulation = AsianArithmetic(SETTINGS, **RESOLUTION, options=opts, variant='call')\n", @@ -155,7 +155,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 35, "id": "36c8cddbab1b738c", "metadata": { "ExecuteTime": { @@ -206,7 +206,7 @@ " for key, val in output.items():\n", " ax.bar(\n", " s_space_edges[:-1][s_indexes_within_range],\n", - " output[key][:, 0][s_indexes_within_range],\n", + " val[:, 0][s_indexes_within_range],\n", " width=s_space_edges[1:][s_indexes_within_range] - s_space_edges[:-1][s_indexes_within_range],\n", " alpha=0.1,\n", " align=\"edge\",\n", @@ -214,7 +214,7 @@ " )\n", " ax.plot(\n", " clipped_s_space,\n", - " output[key][:, 0][s_indexes_within_range],\n", + " val[:, 0][s_indexes_within_range],\n", " label=f\"Asian arithmetic {key} solution\",\n", " marker=markers[key],\n", " c=colors[key]\n", @@ -257,7 +257,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 36, "id": "f0b7762f7354aa1d", "metadata": { "ExecuteTime": { @@ -277,7 +277,7 @@ " \n", " \n", " \n", - " 2025-04-29T11:45:52.519169\n", + " 2025-04-29T12:18:24.590459\n", " image/svg+xml\n", " \n", " \n", @@ -321,12 +321,12 @@ " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -351,7 +351,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -405,7 +405,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -450,7 +450,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -501,7 +501,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -515,7 +515,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -611,7 +611,7 @@ "L 126.995864 209.51301 \n", "L 63.430398 209.51301 \n", "z\n", - "\" clip-path=\"url(#pa374f04439)\" style=\"fill: #808080; opacity: 0.1\"/>\n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: #808080; opacity: 0.1\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: #808080; opacity: 0.1\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: #808080; opacity: 0.1\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: #808080; opacity: 0.1\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: #808080; opacity: 0.1\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: #808080; opacity: 0.1\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"opacity: 0.1\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"opacity: 0.1\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"opacity: 0.1\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"opacity: 0.1\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"opacity: 0.1\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"opacity: 0.1\"/>\n", " \n", " \n", " \n", " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -730,11 +730,11 @@ " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -776,11 +776,11 @@ " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -795,11 +795,11 @@ " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -814,11 +814,11 @@ " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -834,11 +834,11 @@ " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -854,11 +854,11 @@ " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -874,11 +874,11 @@ " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -894,11 +894,11 @@ " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1235,16 +1235,16 @@ " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1258,11 +1258,11 @@ " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1276,11 +1276,11 @@ " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1295,11 +1295,11 @@ " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1314,11 +1314,11 @@ " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1333,11 +1333,11 @@ " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1352,11 +1352,11 @@ " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1524,7 +1524,7 @@ "L 306.542088 120.985475 \n", "L 387.706054 86.336477 \n", "L 474.695438 46.036563 \n", - "\" clip-path=\"url(#pa374f04439)\" style=\"fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #808000; stroke-width: 1.5\"/>\n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #808000; stroke-width: 1.5\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: none; stroke: #808080; stroke-width: 1.5; stroke-linecap: square\"/>\n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -1563,9 +1563,9 @@ "L 306.542088 175.774052 \n", "L 387.706054 144.653882 \n", "L 474.695438 106.072518 \n", - "\" clip-path=\"url(#pa374f04439)\" style=\"fill: none; stroke: #000000; stroke-width: 1.5; stroke-linecap: square\"/>\n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: none; stroke: #000000; stroke-width: 1.5; stroke-linecap: square\"/>\n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -1593,21 +1593,21 @@ "L 306.542088 181.389758 \n", "L 387.706054 148.888046 \n", "L 474.695438 110.770311 \n", - "\" clip-path=\"url(#pa374f04439)\" style=\"fill: none; stroke: #0000ff; stroke-width: 1.5; stroke-linecap: square\"/>\n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: none; stroke: #0000ff; stroke-width: 1.5; stroke-linecap: square\"/>\n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -1617,7 +1617,7 @@ "L 306.542088 187.62204 \n", "L 387.706054 156.607484 \n", "L 474.695438 118.070158 \n", - "\" clip-path=\"url(#pa374f04439)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #008000; stroke-width: 1.5\"/>\n", + "\" clip-path=\"url(#p05fcfdcb04)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #008000; stroke-width: 1.5\"/>\n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2008,7 +2008,7 @@ "L 69.603125 77.93125 \n", "\" style=\"fill: none; stroke: #000000; stroke-width: 1.5; stroke-linecap: square\"/>\n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2083,7 +2083,7 @@ "L 69.603125 92.609375 \n", "\" style=\"fill: none; stroke: #0000ff; stroke-width: 1.5; stroke-linecap: square\"/>\n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2331,7 +2331,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2347,7 +2347,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f491f0d26c2e478bb5d9843c1ba49c0b", + "model_id": "b64206822fbe4951b5fe107a32ad0f06", "version_major": 2, "version_minor": 0 }, From cbd8d23151dad7e92eb60ae7977518bea5a62b45 Mon Sep 17 00:00:00 2001 From: Sylwester Arabas Date: Tue, 29 Apr 2025 14:58:56 +0200 Subject: [PATCH 26/40] CI settings and plot zoom fine tuned --- .../Magnuszewski_et_al_2025/figs.ipynb | 3455 +++++++++-------- 1 file changed, 1794 insertions(+), 1661 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb index f89ad65e..8e70f75d 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb @@ -46,7 +46,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 2, "id": "initial_id", "metadata": { "ExecuteTime": { @@ -69,7 +69,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 3, "id": "67f09798470f325a", "metadata": { "ExecuteTime": { @@ -82,19 +82,19 @@ "OPTIONS = {\n", " \"UPWIND\": Options(\n", " n_iters=1,\n", - " non_zero_mu_coeff= True,\n", + " non_zero_mu_coeff=True,\n", " ),\n", " \"MPDATA\": Options(\n", " n_iters=3,\n", " nonoscillatory=True,\n", - " non_zero_mu_coeff= True,\n", + " non_zero_mu_coeff=True,\n", " )\n", "}\n", "\n", "RESOLUTION = {\n", - " 'nt': 500 if 'CI' not in os.environ else 10,\n", - " 'nx': 21,\n", - " 'ny': 31,\n", + " 'nt': 500 if 'CI' not in os.environ else 50,\n", + " 'nx': 21 if 'CI' not in os.environ else 10,\n", + " 'ny': 31 if 'CI' not in os.environ else 10,\n", "}\n", "\n", "SETTINGS = Settings(\n", @@ -124,7 +124,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 4, "id": "59328c99-94a8-4b91-a7ad-25d66a3fa313", "metadata": {}, "outputs": [], @@ -148,14 +148,14 @@ "# calculate the arithmetic Asian option price by Monte Carlo for the same spot prices\n", "arithmetic_by_mc = np.zeros_like(simulation.S)\n", "for idx, spot in enumerate(simulation.S):\n", - " model = BSModel(spot, SETTINGS.r, SETTINGS.sgma, SETTINGS.T, 1000)\n", - " arithmetic_option = FixedStrikeArithmeticAsianOption(SETTINGS.T, SETTINGS.K, 'call', model, 100000)\n", + " model = BSModel(spot, SETTINGS.r, SETTINGS.sgma, SETTINGS.T, 1000 if 'CI' not in os.environ else 100)\n", + " arithmetic_option = FixedStrikeArithmeticAsianOption(SETTINGS.T, SETTINGS.K, 'call', model, 100000 if 'CI' not in os.environ else 10000)\n", " arithmetic_by_mc[idx], _ = arithmetic_option.price_by_mc()" ] }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 48, "id": "36c8cddbab1b738c", "metadata": { "ExecuteTime": { @@ -173,8 +173,8 @@ " arithmetic_by_mc,\n", " variant,\n", " s_space_edges,\n", - " range_lower=80,\n", - " range_upper=120,\n", + " xlim=(110, 160),\n", + " ylim=(15, 68),\n", "):\n", " euro_price_func = {\n", " \"call\": Black_Scholes_1973.c_euro,\n", @@ -185,9 +185,12 @@ " \"put\": asian_analytic.geometric_asian_average_price_p,\n", " }[variant]\n", "\n", + " ax.set_xlim(*xlim)\n", + " ax.set_ylim(*ylim)\n", + " \n", " # ranges for plotting\n", - " s_indexes_within_range = [i for i, v in enumerate(S_linspace) if range_lower<=v<=range_upper]\n", - " clipped_s_space = S_linspace[s_indexes_within_range]\n", + " s_indexes_within_range = range(len(S_linspace))\n", + " clipped_s_space = S_linspace\n", "\n", " # plot European option price as a somewhat upper bound\n", " ax.plot(\n", @@ -235,7 +238,7 @@ " S=clipped_s_space, K=settings.K, T=settings.T, r=settings.r, dividend_yield=0, sgma=settings.sgma\n", " )\n", " ),\n", - " label=\"Asian geometric analytic (Kemna & Vorst 1990)\",\n", + " label=\"Asian geometric analytic (Kemna & Vorst '90)\",\n", " linestyle=\"--\",\n", " c=\"green\"\n", " )\n", @@ -248,16 +251,16 @@ " xticks=s_indexes_within_range,\n", " )\n", " ax.set(\n", - " xlabel=\"spot price at t=0 ($)\",\n", - " ylabel=\"instrument value ($)\",\n", + " xlabel=\"spot price at t=0\",\n", + " ylabel=\"instrument value\",\n", " )\n", - " ax.legend(loc=\"upper left\")\n", + " ax.legend(loc=\"lower right\")\n", " ax.grid()" ] }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 49, "id": "f0b7762f7354aa1d", "metadata": { "ExecuteTime": { @@ -272,12 +275,12 @@ "\n", "\n", - "\n", + "\n", " \n", " \n", " \n", " \n", - " 2025-04-29T12:18:24.590459\n", + " 2025-04-29T14:58:07.592572\n", " image/svg+xml\n", " \n", " \n", @@ -293,8 +296,8 @@ " \n", " \n", " \n", @@ -321,234 +324,255 @@ " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -606,313 +630,493 @@ " \n", " \n", " \n", - " \n", + "\" clip-path=\"url(#p4375754b73)\" style=\"fill: #808080; opacity: 0.1\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#p4375754b73)\" style=\"fill: #808080; opacity: 0.1\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#p4375754b73)\" style=\"fill: #808080; opacity: 0.1\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#p4375754b73)\" style=\"fill: #808080; opacity: 0.1\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#p4375754b73)\" style=\"fill: 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" \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", " \n", " \n", " \n", @@ -1223,187 +1358,113 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", " \n", - " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", + " \n", " \n", + " \n", " \n", " \n", " \n", @@ -1845,18 +1949,18 @@ " \n", " \n", " \n", - " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", + " \n", " \n", " \n", " \n", @@ -2320,18 +2454,17 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2347,7 +2480,7 @@ { "data": { 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clip-path=\"url(#pd14502c36f)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: #808080\"/>\n", " \n", " \n", " \n", " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8331,11 +8464,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8343,11 +8476,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8355,11 +8488,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8367,11 +8500,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8379,11 +8512,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8391,11 +8524,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8403,11 +8536,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8415,11 +8548,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8427,11 +8560,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8439,11 +8572,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8451,11 +8584,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8463,11 +8596,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8475,11 +8608,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8487,11 +8620,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8499,11 +8632,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8511,11 +8644,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8523,11 +8656,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8535,11 +8668,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8547,11 +8680,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8559,11 +8692,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8571,11 +8704,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8583,11 +8716,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8595,11 +8728,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8607,11 +8740,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8619,11 +8752,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8631,11 +8764,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8643,11 +8776,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8655,11 +8788,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8667,11 +8800,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8679,11 +8812,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8691,11 +8824,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8752,16 +8885,16 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8798,11 +8931,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8810,11 +8943,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8854,11 +8987,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8866,11 +8999,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8905,11 +9038,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8917,11 +9050,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8967,11 +9100,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8979,11 +9112,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9038,11 +9171,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9050,11 +9183,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9085,11 +9218,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9097,11 +9230,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9116,11 +9249,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9128,11 +9261,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9147,11 +9280,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9159,11 +9292,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9178,11 +9311,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9190,11 +9323,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9209,11 +9342,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9221,11 +9354,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9240,11 +9373,11 @@ " \n", " \n", + "\" clip-path=\"url(#pd14502c36f)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9667,232 +9800,232 @@ "z\n", "\" style=\"fill: #ffffff\"/>\n", " \n", - " \n", + " \n", " \n", + 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\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9910,7 +10043,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9923,14 +10056,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9943,14 +10076,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9963,14 +10096,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9983,14 +10116,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10003,14 +10136,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10024,14 +10157,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10045,14 +10178,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10066,14 +10199,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10087,14 +10220,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10108,14 +10241,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10129,7 +10262,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10237,232 +10370,232 @@ "z\n", "\" style=\"fill: #ffffff\"/>\n", " \n", - " \n", + " \n", " \n", + 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\n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10480,7 +10613,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10493,14 +10626,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10513,14 +10646,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10533,14 +10666,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10553,14 +10686,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10573,14 +10706,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10594,14 +10727,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10615,14 +10748,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10636,14 +10769,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10657,14 +10790,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10678,14 +10811,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10699,7 +10832,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10765,15 +10898,15 @@ "z\n", "\" style=\"fill: #ffffff\"/>\n", " \n", - " \n", + " \n", " \n", + 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\n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10908,14 +11041,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10929,14 +11062,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10950,14 +11083,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10971,14 +11104,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10992,14 +11125,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11013,14 +11146,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11034,14 +11167,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11055,14 +11188,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11076,14 +11209,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11131,7 +11264,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11149,7 +11282,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11162,14 +11295,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11182,14 +11315,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11202,14 +11335,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11222,14 +11355,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11242,14 +11375,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11263,14 +11396,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11284,14 +11417,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11305,14 +11438,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11326,14 +11459,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11347,14 +11480,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11368,7 +11501,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11438,127 +11571,127 @@ "L 101.84969 964.798125 \n", "L 101.84969 974.005125 \n", "L 92.64269 974.005125 \n", - "\" clip-path=\"url(#p2d58c46d9a)\" style=\"fill: #f71893\"/>\n", + "\" clip-path=\"url(#p329fb19e61)\" style=\"fill: #f71893\"/>\n", " \n", + "\" clip-path=\"url(#p329fb19e61)\" style=\"fill: #110a07\"/>\n", " \n", + "\" clip-path=\"url(#p329fb19e61)\" style=\"fill: #21150d\"/>\n", " \n", + "\" clip-path=\"url(#p329fb19e61)\" style=\"fill: #321f14\"/>\n", " \n", + "\" clip-path=\"url(#p329fb19e61)\" style=\"fill: #422a1b\"/>\n", " \n", + "\" clip-path=\"url(#p329fb19e61)\" style=\"fill: #533421\"/>\n", " \n", + "\" clip-path=\"url(#p329fb19e61)\" style=\"fill: #633f28\"/>\n", " \n", + "\" clip-path=\"url(#p329fb19e61)\" style=\"fill: #74492f\"/>\n", " \n", + "\" clip-path=\"url(#p329fb19e61)\" style=\"fill: #855435\"/>\n", " \n", + "\" clip-path=\"url(#p329fb19e61)\" style=\"fill: #955e3c\"/>\n", " \n", + "\" clip-path=\"url(#p329fb19e61)\" style=\"fill: #a66943\"/>\n", " \n", + "\" clip-path=\"url(#p329fb19e61)\" style=\"fill: #b67349\"/>\n", " \n", + "\" clip-path=\"url(#p329fb19e61)\" style=\"fill: #c77e50\"/>\n", " \n", + "\" clip-path=\"url(#p329fb19e61)\" style=\"fill: #d88857\"/>\n", " \n", + "\" clip-path=\"url(#p329fb19e61)\" style=\"fill: #e8935d\"/>\n", " \n", + "\" clip-path=\"url(#p329fb19e61)\" style=\"fill: #f99d64\"/>\n", " \n", + "\" clip-path=\"url(#p329fb19e61)\" style=\"fill: #ffa86b\"/>\n", " \n", + "\" clip-path=\"url(#p329fb19e61)\" style=\"fill: #ffb272\"/>\n", " \n", + "\" clip-path=\"url(#p329fb19e61)\" style=\"fill: #ffbd78\"/>\n", " \n", + "\" clip-path=\"url(#p329fb19e61)\" style=\"fill: #ffc77f\"/>\n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11571,7 +11704,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11585,7 +11718,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11599,7 +11732,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11613,7 +11746,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11733,19 +11866,19 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11761,7 +11894,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "fb0bd82993fb41b2b5ea64722d85556a", + "model_id": "ce352180b9c64df49beee7cc926a4f75", "version_major": 2, "version_minor": 0 }, From 62df85ff7892f2f2e55d84296d3bcf66522cf8a2 Mon Sep 17 00:00:00 2001 From: Sylwester Arabas Date: Tue, 29 Apr 2025 17:35:44 +0200 Subject: [PATCH 27/40] further plot beef up (contours, cmap, scales) --- .../Magnuszewski_et_al_2025/figs.ipynb | 5657 ++++++++++++----- 1 file changed, 4006 insertions(+), 1651 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb index 8e70f75d..20ccb0e9 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb @@ -155,7 +155,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 102, "id": "36c8cddbab1b738c", "metadata": { "ExecuteTime": { @@ -173,8 +173,8 @@ " arithmetic_by_mc,\n", " variant,\n", " s_space_edges,\n", - " xlim=(110, 160),\n", - " ylim=(15, 68),\n", + " xlim=(95, 155),\n", + " ylim=(5, 65),\n", "):\n", " euro_price_func = {\n", " \"call\": Black_Scholes_1973.c_euro,\n", @@ -211,7 +211,7 @@ " s_space_edges[:-1][s_indexes_within_range],\n", " val[:, 0][s_indexes_within_range],\n", " width=s_space_edges[1:][s_indexes_within_range] - s_space_edges[:-1][s_indexes_within_range],\n", - " alpha=0.1,\n", + " alpha=0.2,\n", " align=\"edge\",\n", " color=colors[key]\n", " )\n", @@ -242,25 +242,28 @@ " linestyle=\"--\",\n", " c=\"green\"\n", " )\n", - "\n", - " ax.secondary_xaxis('top', functions=(\n", + " inverse = lambda x: np.interp(x, np.arange(len(S_linspace))+.5, S_linspace)\n", + " ax2 = ax.secondary_xaxis('top', functions=(\n", " lambda x: np.interp(x, S_linspace, np.arange(len(S_linspace))+.5),\n", - " lambda x: np.interp(x, np.arange(len(S_linspace))+.5, S_linspace)\n", - " )).set(\n", + " inverse\n", + " ))\n", + " ax2.set(\n", " xlabel=\"x/Δx\",\n", " xticks=s_indexes_within_range,\n", " )\n", + " for tick in ax2.get_xticks():\n", + " ax.axvline(inverse(tick), color='lightgray', linestyle=':', linewidth=4)\n", " ax.set(\n", " xlabel=\"spot price at t=0\",\n", " ylabel=\"instrument value\",\n", " )\n", - " ax.legend(loc=\"lower right\")\n", + " ax.legend(loc=\"lower right\", handlelength=1)\n", " ax.grid()" ] }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 103, "id": "f0b7762f7354aa1d", "metadata": { "ExecuteTime": { @@ -275,12 +278,12 @@ "\n", "\n", - "\n", + "\n", " \n", " \n", " \n", " \n", - " 2025-04-29T14:58:07.592572\n", + " 2025-04-29T17:06:09.335905\n", " image/svg+xml\n", " \n", " \n", @@ -296,8 +299,8 @@ " \n", " \n", " \n", @@ -324,17 +327,17 @@ " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -630,491 +658,468 @@ " \n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pecc45c21da)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", + " \n", + " \n", + " \n", " \n", - " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", + " \n", + " \n", " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1363,106 +1368,125 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", " \n", + " \n", + " \n", + " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1574,29 +1598,33 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", " \n", - " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1896,6 +2013,16 @@ "L 1147 4666 \n", "z\n", "\" transform=\"scale(0.015625)\"/>\n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2106,16 +2233,16 @@ " \n", " \n", " \n", - " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2181,16 +2308,16 @@ " \n", " \n", " \n", - " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2275,13 +2402,13 @@ " \n", " \n", " \n", - " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2464,7 +2591,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2480,7 +2607,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "cfd9d740d40648479337c6b659168db4", + "model_id": "c16bbfa4683641b6a9394ee663c938a0", "version_major": 2, "version_minor": 0 }, @@ -2526,7 +2653,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 147, "id": 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clip-path=\"url(#pba79328fad)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: #808080\"/>\n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: #808080\"/>\n", " \n", " \n", " \n", " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8464,11 +8591,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8476,11 +8603,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8488,11 +8615,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8500,11 +8627,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8512,11 +8639,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8524,11 +8651,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8536,11 +8663,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8548,11 +8675,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8560,11 +8687,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8572,11 +8699,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8584,11 +8711,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8596,11 +8723,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8608,11 +8735,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8620,11 +8747,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8632,11 +8759,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8644,11 +8771,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8656,11 +8783,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8668,11 +8795,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8680,11 +8807,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8692,11 +8819,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8704,11 +8831,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8716,11 +8843,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8728,11 +8855,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8740,11 +8867,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8752,11 +8879,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8764,11 +8891,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8776,11 +8903,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8788,11 +8915,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8800,11 +8927,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8812,11 +8939,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8824,11 +8951,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8885,16 +9012,16 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8931,11 +9058,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8943,11 +9070,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8987,11 +9114,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -8999,11 +9126,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9038,11 +9165,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9050,11 +9177,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9100,11 +9227,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9112,11 +9239,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9171,11 +9298,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9183,11 +9310,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9218,11 +9345,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9230,11 +9357,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9249,11 +9376,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9261,11 +9388,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9280,11 +9407,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9292,11 +9419,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9311,11 +9438,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9323,11 +9450,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9342,11 +9469,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -9354,11 +9481,11 @@ " \n", " \n", + "\" clip-path=\"url(#pba79328fad)\" style=\"fill: none; stroke: 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\n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10043,7 +10170,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10056,14 +10183,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10076,14 +10203,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10096,14 +10223,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10116,14 +10243,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10136,14 +10263,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10157,14 +10284,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10178,14 +10305,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10199,14 +10326,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10220,14 +10347,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10241,14 +10368,14 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10262,7 +10389,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10276,6 +10403,236 @@ " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " 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\n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10613,10 +11156,10 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10626,17 +11169,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10646,17 +11189,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10666,17 +11209,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10686,17 +11229,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10706,17 +11249,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10727,17 +11270,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10748,17 +11291,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10769,17 +11312,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10790,17 +11333,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10811,17 +11354,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10832,11 +11375,11 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10846,6 +11389,504 @@ " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10888,6 +11929,177 @@ " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -10898,18 +12110,18 @@ "z\n", "\" style=\"fill: #ffffff\"/>\n", " \n", - " \n", + " \n", " \n", + "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\" id=\"image26dcdb3b3b\" transform=\"scale(1 -1) translate(0 -195.84)\" x=\"40.603125\" y=\"-724.606125\" width=\"288.72\" height=\"195.84\"/>\n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10919,17 +12131,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10939,17 +12151,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10959,17 +12171,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10979,17 +12191,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -10999,17 +12211,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11020,17 +12232,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11041,17 +12253,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11062,17 +12274,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11083,17 +12295,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11104,17 +12316,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11125,17 +12337,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11146,17 +12358,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11167,17 +12379,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11188,17 +12400,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11209,53 +12421,19 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", " \n", " \n", " \n", @@ -11264,11 +12442,11 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11282,10 +12460,10 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11295,17 +12473,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11315,17 +12493,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11335,17 +12513,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11355,17 +12533,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11375,17 +12553,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11396,17 +12574,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11417,17 +12595,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11438,17 +12616,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11459,17 +12637,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11480,17 +12658,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11501,11 +12679,11 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11515,6 +12693,826 @@ " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11555,6 +13553,277 @@ " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -11568,135 +13837,195 @@ " \n", " \n", - " \n", + " \n", + " \n", + "L 104.91869 974.005125 \n", + "\" clip-path=\"url(#pd1bd25a32c)\" style=\"fill: #ededed\"/>\n", " \n", - " \n", + " \n", + " \n", + "L 123.33269 974.005125 \n", + "\" clip-path=\"url(#pd1bd25a32c)\" style=\"fill: #d3d3d3\"/>\n", " \n", - " \n", + " \n", + " \n", + "L 141.74669 974.005125 \n", + "\" clip-path=\"url(#pd1bd25a32c)\" style=\"fill: #b9b9b9\"/>\n", " \n", - " \n", + " \n", + " \n", + "L 160.16069 974.005125 \n", + "\" clip-path=\"url(#pd1bd25a32c)\" style=\"fill: #9e9e9e\"/>\n", " \n", - " \n", + " \n", + " \n", + "L 178.57469 974.005125 \n", + "\" clip-path=\"url(#pd1bd25a32c)\" style=\"fill: #848484\"/>\n", " \n", - " \n", + " \n", + " \n", + "L 196.98869 974.005125 \n", + "\" clip-path=\"url(#pd1bd25a32c)\" style=\"fill: #6a6a6a\"/>\n", " \n", - " \n", + " \n", + " \n", + "L 215.40269 974.005125 \n", + "\" clip-path=\"url(#pd1bd25a32c)\" style=\"fill: #4f4f4f\"/>\n", " \n", - " \n", + " \n", + " \n", + "L 233.81669 974.005125 \n", + "\" clip-path=\"url(#pd1bd25a32c)\" style=\"fill: #353535\"/>\n", " \n", - " \n", + " \n", + " \n", + "L 252.23069 974.005125 \n", + "\" clip-path=\"url(#pd1bd25a32c)\" style=\"fill: #1a1a1a\"/>\n", " \n", - " \n", + " \n", + " \n", + "L 270.64469 974.005125 \n", + "\" clip-path=\"url(#pd1bd25a32c)\"/>\n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11704,13 +14033,13 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -11718,46 +14047,64 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11866,19 +14213,19 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11894,7 +14241,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ce352180b9c64df49beee7cc926a4f75", + "model_id": "5e4fb8d0c22b4777ba9f668157224d00", "version_major": 2, "version_minor": 0 }, @@ -11926,11 +14273,11 @@ " 1/2 : grid[0] : 1,\n", " 1/2 : grid[1] : 1,\n", " ], Y.T.flatten()/0.8/scale_y, X.T.flatten()/scale_x, \n", - " pivot='mid', \n", - " color='gray', \n", - " width=.003,\n", - " scale=8, \n", - " scale_units='inches'\n", + " pivot='mid', \n", + " color='gray', \n", + " width=.003,\n", + " scale=8, \n", + " scale_units='inches'\n", ")\n", "axs[0].set(\n", " title=\"advector field (constant in time)\",\n", @@ -11942,13 +14289,13 @@ "for i, xy in enumerate(('x', 'y')):\n", " getattr(axs[0], f\"set_{xy}ticks\")(np.arange(0, grid[i] + 1))\n", "\n", - "vmax = 90\n", - "assert .9 * vmax < np.amax(output[\"MPDATA\"][0]) < 1.1 * vmax\n", + "vmax = 290\n", + "assert .9 * vmax < np.amax(output[\"MPDATA\"][-1]) < 1.1 * vmax\n", "\n", - "n_colors = 20\n", - "quantized_copper = colormaps['copper'].resampled(n_colors)\n", + "n_colors = 30\n", + "quantized_copper = colormaps['binary'].resampled(n_colors)\n", "newcolors = quantized_copper(np.linspace(0, 1, n_colors))\n", - "pink = np.array([248/256, 24/256, 148/256, 1])\n", + "pink = np.array([248/256, 48/256, 48/256, 1])\n", "newcolors[:1, :] = pink\n", "cmap = colors.ListedColormap(newcolors)\n", "\n", @@ -11960,6 +14307,14 @@ " norm=colors.Normalize(vmin=-1/(n_colors-1) * vmax, vmax=vmax),\n", " **imshow_common,\n", " )\n", + " axs[i + 1].clabel(\n", + " axs[i + 1].contour(\n", + " *np.meshgrid(np.linspace(.5, grid[0]-.5, grid[0]), np.linspace(.5, grid[1]-.5, grid[1])),\n", + " output[\"MPDATA\"][i], np.linspace(-1/(n_colors-1), vmax, n_colors), colors='green', linewidths=.5,\n", + " ),\n", + " inline=.5,\n", + " fontsize=7\n", + " )\n", " axs[i + 1].set_title(title)\n", "pyplot.colorbar(im, ax=axs, shrink=0.3, pad=.04, label='instrument value ($)', orientation=\"horizontal\")\n", "\n", From 4deed9b2f64918549f2d8983bd472b2041139b49 Mon Sep 17 00:00:00 2001 From: pawel Date: Tue, 29 Apr 2025 20:22:23 +0200 Subject: [PATCH 28/40] pylint lambda --- examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb index 20ccb0e9..1b0541df 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb @@ -242,7 +242,8 @@ " linestyle=\"--\",\n", " c=\"green\"\n", " )\n", - " inverse = lambda x: np.interp(x, np.arange(len(S_linspace))+.5, S_linspace)\n", + " def inverse(x):\n", + " return np.interp(x, np.arange(len(S_linspace))+.5, S_linspace)\n", " ax2 = ax.secondary_xaxis('top', functions=(\n", " lambda x: np.interp(x, S_linspace, np.arange(len(S_linspace))+.5),\n", " inverse\n", From 2a69db1f269d2d0e06197cceae5e8491d6ed7725 Mon Sep 17 00:00:00 2001 From: Sylwester Arabas Date: Tue, 29 Apr 2025 23:27:23 +0200 Subject: [PATCH 29/40] fix github rendering by using inline_format=png since imshow() is used; fine tune colors, sizes, line styles --- .../Magnuszewski_et_al_2025/figs.ipynb | 12505 +--------------- 1 file changed, 469 insertions(+), 12036 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb index 20ccb0e9..63e5eb30 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb @@ -155,7 +155,7 @@ }, { "cell_type": "code", - "execution_count": 102, + "execution_count": 159, "id": "36c8cddbab1b738c", "metadata": { "ExecuteTime": { @@ -227,7 +227,8 @@ " arithmetic_by_mc[s_indexes_within_range],\n", " label=\"Asian arithmetic by Monte-Carlo\",\n", " marker=\"+\",\n", - " c=\"blue\"\n", + " c=\"orange\",\n", + " linestyle=\"-.\",\n", " )\n", "\n", " # plot Asian option price as a somewhat lower bound\n", @@ -257,13 +258,13 @@ " xlabel=\"spot price at t=0\",\n", " ylabel=\"instrument value\",\n", " )\n", - " ax.legend(loc=\"lower right\", handlelength=1)\n", + " ax.legend(loc=\"lower right\", handlelength=1.5)\n", " ax.grid()" ] }, { "cell_type": "code", - "execution_count": 103, + "execution_count": 161, "id": "f0b7762f7354aa1d", "metadata": { "ExecuteTime": { @@ -278,12 +279,12 @@ "\n", "\n", - "\n", + "\n", " \n", " \n", " \n", " \n", - " 2025-04-29T17:06:09.335905\n", + " 2025-04-29T23:25:09.967815\n", " image/svg+xml\n", " \n", " \n", @@ -299,8 +300,8 @@ " \n", " \n", " \n", @@ -308,8 +309,8 @@ " \n", " \n", " \n", @@ -317,8 +318,8 @@ " \n", " \n", " \n", @@ -327,17 +328,17 @@ " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -397,12 +398,12 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1021,18 +1022,18 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1041,18 +1042,18 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1061,18 +1062,18 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1081,18 +1082,18 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1101,18 +1102,18 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1121,7 +1122,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", + "L 570.703125 238.756563 \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1394,12 +1395,12 @@ " \n", " \n", " \n", + "L 570.703125 201.796563 \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1413,12 +1414,12 @@ " \n", " \n", " \n", + "L 570.703125 164.836563 \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1432,12 +1433,12 @@ " \n", " \n", " \n", + "L 570.703125 127.876563 \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1451,12 +1452,12 @@ " \n", " \n", " \n", + "L 570.703125 90.916563 \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1470,12 +1471,12 @@ " \n", " \n", " \n", + "L 570.703125 53.956563 \n", + "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ 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" \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "\n" ], "text/plain": [ - "
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" ] }, "metadata": {}, @@ -2607,7 +2606,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c16bbfa4683641b6a9394ee663c938a0", + "model_id": "df9d30e654c14d878d677a8088d749f1", "version_major": 2, "version_minor": 0 }, @@ -2620,7 +2619,7 @@ } ], "source": [ - "_, ax = pyplot.subplots(1, 1, figsize=(9, 4))\n", + "_, ax = pyplot.subplots(1, 1, figsize=(9.5, 4))\n", "plot_solution(\n", " settings=SETTINGS,\n", " ax=ax,\n", @@ -2653,7 +2652,7 @@ }, { "cell_type": "code", - "execution_count": 147, + "execution_count": 152, "id": "cec62b5610d9b908", "metadata": { "ExecuteTime": { @@ -2664,11573 +2663,7 @@ "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " 2025-04-29T17:34:54.874945\n", - " image/svg+xml\n", - " \n", - " \n", - " Matplotlib v3.8.1, https://matplotlib.org/\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", 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", 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" ] @@ -14241,7 +2674,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5e4fb8d0c22b4777ba9f668157224d00", + "model_id": "76d68dddd3244211a4e3bd0ac7a2aabc", "version_major": 2, "version_minor": 0 }, @@ -14310,7 +2743,7 @@ " axs[i + 1].clabel(\n", " axs[i + 1].contour(\n", " *np.meshgrid(np.linspace(.5, grid[0]-.5, grid[0]), np.linspace(.5, grid[1]-.5, grid[1])),\n", - " output[\"MPDATA\"][i], np.linspace(-1/(n_colors-1), vmax, n_colors), colors='green', linewidths=.5,\n", + " output[\"MPDATA\"][i], np.linspace(-1/(n_colors-1), vmax, n_colors), colors='blue', linewidths=.75,\n", " ),\n", " inline=.5,\n", " fontsize=7\n", @@ -14326,7 +2759,7 @@ " ax.set_xticks(range(grid[0]+1), [\"\" if i%2!=0 else f\"{i}\" for i in range(grid[0]+1)])\n", " ax.set_yticks(range(grid[1]+1), [\"\" if i%2!=0 else f\"{i}\" for i in range(grid[1]+1)])\n", " \n", - "show_plot('advectee_over_time.pdf')" + "show_plot('advectee_over_time.pdf', inline_format='png')" ] }, { From df0071eebdbde53af86168c0f4ced5d1d92cc9ff Mon Sep 17 00:00:00 2001 From: Sylwester Arabas Date: Wed, 30 Apr 2025 00:31:27 +0200 Subject: [PATCH 30/40] fix grid placement; annotate where Fig. 2 is locaten in Fig. 2; cbar tick colors, ... --- .../Magnuszewski_et_al_2025/figs.ipynb | 569 ++++++++++-------- 1 file changed, 313 insertions(+), 256 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb index 09557f7f..d8815456 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb @@ -46,7 +46,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 163, "id": "initial_id", "metadata": { "ExecuteTime": { @@ -58,7 +58,7 @@ "source": [ "import os\n", "import numpy as np\n", - "from matplotlib import pyplot, colors, colormaps\n", + "from matplotlib import pyplot, colors, colormaps, patches\n", "from open_atmos_jupyter_utils import show_plot\n", "from PyMPDATA import Options\n", "from PyMPDATA_examples.Magnuszewski_et_al_2025.asian_option import AsianArithmetic, Settings\n", @@ -155,7 +155,7 @@ }, { "cell_type": "code", - "execution_count": 159, + "execution_count": 223, "id": "36c8cddbab1b738c", "metadata": { "ExecuteTime": { @@ -173,8 +173,9 @@ " arithmetic_by_mc,\n", " variant,\n", " s_space_edges,\n", - " xlim=(95, 155),\n", - " ylim=(5, 65),\n", + " xlim,\n", + " ylim,\n", + " ax2_functions,\n", "):\n", " euro_price_func = {\n", " \"call\": Black_Scholes_1973.c_euro,\n", @@ -243,20 +244,15 @@ " linestyle=\"--\",\n", " c=\"green\"\n", " )\n", - " def inverse(x):\n", - " return np.interp(x, np.arange(len(S_linspace))+.5, S_linspace)\n", - " ax2 = ax.secondary_xaxis('top', functions=(\n", - " lambda x: np.interp(x, S_linspace, np.arange(len(S_linspace))+.5),\n", - " inverse\n", - " ))\n", + " ax2 = ax.secondary_xaxis('top', functions=ax2_functions)\n", " ax2.set(\n", - " xlabel=\"x/Δx\",\n", + " xlabel=\"$(x-x_0)/Δx$\",\n", " xticks=s_indexes_within_range,\n", " )\n", " for tick in ax2.get_xticks():\n", - " ax.axvline(inverse(tick), color='lightgray', linestyle=':', linewidth=4)\n", + " ax.axvline(ax2_functions[1](tick), color='lightgray', linestyle=':', linewidth=4)\n", " ax.set(\n", - " xlabel=\"spot price at t=0\",\n", + " xlabel=\"spot price at $t=0$\",\n", " ylabel=\"instrument value\",\n", " )\n", " ax.legend(loc=\"lower right\", handlelength=1.5)\n", @@ -265,7 +261,7 @@ }, { "cell_type": "code", - "execution_count": 161, + "execution_count": 224, "id": "f0b7762f7354aa1d", "metadata": { "ExecuteTime": { @@ -280,12 +276,12 @@ "\n", "\n", - "\n", + "\n", " \n", " \n", " \n", " \n", - " 2025-04-29T23:25:09.967815\n", + " 2025-04-30T00:20:03.564913\n", " image/svg+xml\n", " \n", " \n", @@ -300,8 +296,8 @@ " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -385,7 +381,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -399,7 +395,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -439,7 +435,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -487,7 +483,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -522,7 +518,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -563,7 +559,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -607,22 +603,55 @@ " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -665,7 +699,7 @@ "L -340.710214 273.996489 \n", "L -371.314712 273.996489 \n", "z\n", - "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: #808080; opacity: 0.2\"/>\n", + "\" clip-path=\"url(#p9065238286)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" 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#b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1025,11 +1059,11 @@ " \n", " \n", + "\" clip-path=\"url(#p9065238286)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1045,11 +1079,11 @@ " \n", " \n", + "\" clip-path=\"url(#p9065238286)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1065,11 +1099,11 @@ " \n", " \n", + "\" clip-path=\"url(#p9065238286)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1085,11 +1119,11 @@ " \n", " \n", + "\" clip-path=\"url(#p9065238286)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1105,11 +1139,11 @@ " \n", " \n", + "\" clip-path=\"url(#p9065238286)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1122,8 +1156,8 @@ " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -1373,16 +1432,16 @@ " \n", " \n", + "\" clip-path=\"url(#p9065238286)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1397,11 +1456,11 @@ " \n", " \n", + "\" clip-path=\"url(#p9065238286)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1416,11 +1475,11 @@ " \n", " \n", + "\" clip-path=\"url(#p9065238286)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1435,11 +1494,11 @@ " \n", " \n", + "\" clip-path=\"url(#p9065238286)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1454,11 +1513,11 @@ " \n", " \n", + "\" clip-path=\"url(#p9065238286)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1473,11 +1532,11 @@ " \n", " \n", + "\" clip-path=\"url(#p9065238286)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1611,7 +1670,7 @@ "L 450.735807 81.985096 \n", "L 540.413712 47.77567 \n", "L 578.903125 32.697771 \n", - "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #808000; stroke-width: 1.5\"/>\n", + "\" clip-path=\"url(#p9065238286)\" style=\"fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #808000; stroke-width: 1.5\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p9065238286)\" style=\"fill: none; stroke: #808080; stroke-width: 1.5; stroke-linecap: square\"/>\n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -1663,9 +1722,9 @@ "L 450.735807 111.714475 \n", "L 540.413712 76.433359 \n", "L 578.903125 61.089603 \n", - "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: none; stroke: #000000; stroke-width: 1.5; stroke-linecap: square\"/>\n", + "\" clip-path=\"url(#p9065238286)\" style=\"fill: none; stroke: #000000; stroke-width: 1.5; stroke-linecap: square\"/>\n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -1702,26 +1761,26 @@ "L 450.735807 112.852868 \n", "L 540.413712 77.581162 \n", "L 578.903125 62.316934 \n", - "\" clip-path=\"url(#pc02cd5d7a8)\" style=\"fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #ffa500; stroke-width: 1.5\"/>\n", + "\" clip-path=\"url(#p9065238286)\" style=\"fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #ffa500; stroke-width: 1.5\"/>\n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " 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style=\"fill: none; stroke-dasharray: 4,6.6; stroke-dashoffset: 0; stroke: #d3d3d3; stroke-width: 4\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p9065238286)\" style=\"fill: none; stroke-dasharray: 4,6.6; stroke-dashoffset: 0; stroke: #d3d3d3; stroke-width: 4\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p9065238286)\" style=\"fill: none; stroke-dasharray: 4,6.6; stroke-dashoffset: 0; stroke: #d3d3d3; stroke-width: 4\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p9065238286)\" style=\"fill: none; stroke-dasharray: 4,6.6; stroke-dashoffset: 0; stroke: #d3d3d3; stroke-width: 4\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p9065238286)\" style=\"fill: none; stroke-dasharray: 4,6.6; stroke-dashoffset: 0; stroke: #d3d3d3; stroke-width: 4\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p9065238286)\" style=\"fill: none; stroke-dasharray: 4,6.6; stroke-dashoffset: 0; stroke: #d3d3d3; stroke-width: 4\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p9065238286)\" style=\"fill: none; stroke-dasharray: 4,6.6; stroke-dashoffset: 0; stroke: #d3d3d3; stroke-width: 4\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", " \n", - " \n", " \n", " \n", " \n", @@ -2082,7 +2115,7 @@ "L 326.114062 198.6225 \n", "\" style=\"fill: none; stroke: #808080; stroke-width: 1.5; stroke-linecap: square\"/>\n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2239,7 +2272,7 @@ "L 326.114062 213.300625 \n", "\" style=\"fill: none; stroke: #000000; stroke-width: 1.5; stroke-linecap: square\"/>\n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2314,7 +2347,7 @@ "L 326.114062 227.97875 \n", "\" style=\"fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #ffa500; stroke-width: 1.5\"/>\n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2591,7 +2624,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2607,7 +2640,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "df9d30e654c14d878d677a8088d749f1", + "model_id": "1a9414cd6f654d378edec7c5a1dc376c", "version_major": 2, "version_minor": 0 }, @@ -2621,6 +2654,15 @@ ], "source": [ "_, ax = pyplot.subplots(1, 1, figsize=(9.5, 4))\n", + "\n", + "xlim=(95, 155)\n", + "ylim=(5, 65)\n", + "\n", + "ax2_functions=(\n", + " lambda x: np.interp(x, simulation.S, np.arange(len(simulation.S))+.5),\n", + " lambda x: np.interp(x, np.arange(len(simulation.S))+.5, simulation.S)\n", + ")\n", + "\n", "plot_solution(\n", " settings=SETTINGS,\n", " ax=ax,\n", @@ -2633,6 +2675,9 @@ " np.log(simulation.S[-1]) + simulation.dx/2,\n", " RESOLUTION['nx'] + 1\n", " )),\n", + " xlim=xlim,\n", + " ylim=ylim,\n", + " ax2_functions=ax2_functions,\n", ")\n", "show_plot('numeric_vs_analytic.pdf')" ] @@ -2653,7 +2698,7 @@ }, { "cell_type": "code", - "execution_count": 152, + "execution_count": 244, "id": "cec62b5610d9b908", "metadata": { "ExecuteTime": { @@ -2664,9 +2709,9 @@ "outputs": [ { "data": { - "image/png": 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", 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++uqrea9/+umn4HA42LFjx0s//78TXl5eyM3NRXJy8gs/6+/vx/T09Et5PB4P27ZtQ2xsLBobG4Wvl5eXv/S9XgYXFxf09fW9UIc8dOgQnjx5gpiYmBc4zPe6c+dOtLe3z+uQnZ6expdffglFRUWsX7+e6jMwGB0dfeHcsYmJCZSUlOYdIVFQUHjh7wi83FYjIiLQ0tIi1ueYCwUFhXllkTeNV9ntNwEvLy+0tLTg0qVLL/xsbGwMIyMj814rKCgAh8OBi4vLN/7Zvs+Q7GR/4Ni9ezcCAgKgoqICCwsL5ObmIjU19YUa13//938jICAA27dvx69//WvhER5mt/M8du7cCSUlJfzud78Dj8d7of5nYmKCU6dO4Y9//CPq6+uxf/9+KCkpoa6uDjExMfjJT36C3/3ud+ByuTh37hz27NkDW1tbvPXWW9DR0UFFRQVKS0uFwcbBwQEA8Ktf/Qrbtm0Dj8eDj48P9uzZg40bN+JPf/oT6uvrYWNjgzt37iAuLg7vvPOOcKf8TeL3v/894uPjsXv3bpw4cQIODg4YGRlBSUkJIiMjUV9f/8qd2N/+9jfcvn0brq6u+PnPfy4McpaWli/93p/Hrl27wOfzkZqaip/85CfzPlNkZCQ8PT3xox/9CA4ODujt7UV8fDzOnz8PGxsb/OQnP8GFCxdw4sQJFBQUYMmSJYiMjER2djY+++yzF+rcbKisrMSmTZvg5eUFCwsL8Pl8xMTEoKOjAz4+PsLrHBwccO7cOZw6dQqmpqZYtGgR3N3dsXv3bpw8eRJvvfUW1qxZg5KSEgQFBb3yXDYNHBwcEBYWht/+9rdwdHSEoqIi9uzZ89rv9zr3B160228Cx44dQ3h4OH76058iPT0da9euxczMDCoqKhAeHo7k5OR559hTUlKwdu3al9a7JRADb7qdWYKFhb6+PvLWW28RTU1NoqioSLZt20YqKipeOKpACCHFxcVk/fr1RFZWlujp6ZH33nuPXLly5ZWyikeOHBEeb3gVoqKiyLp164iCggJRUFAgZmZm5Be/+AV59uzZvOvu379PtmzZQpSUlIiCggKxtrYmX375pfDn09PT5Je//CXR0tIiHA5n3rGIoaEh8pvf/Ibo6uoSKSkpsmzZMvLRRx/NO3JByOyRiV/84hfU3x3tER7mM/zxj38kpqamRFpammhqapI1a9aQjz/+eJ5MH14iq3jv3j3i4OBApKWlydKlS8n58+fFklXcu3cv2bRp0wuv9/T0kLfffpvo6ekRaWlpoq+vT44fP066u7uF13R0dAjtQ1pamlhZWZFr167Nex/mCM/LjubM/X26u7vJL37xC2JmZkYUFBSIiooKWb16NQkPD5/HaW9vJ7t27SJKSkoEgPA4z/j4OHn33XeJjo4OkZOTI2vXriW5ublk/fr18478MEd4IiIiXvo5537+4eFh4uvrS1RVVQkA1uM8rzrCk5+fP+865jOkp6eLfD9Rdvu8LTB/866urnnv8So7XL9+PbG0tJz32uTkJPnggw+IpaUlkZGRIWpqasTBwYH87W9/IwMDA8Lr+vv7ibS0NLl8+bLIzy8BOziEfAOVeQkkkGDBICsrCxs2bEBFRcUru7klkGAuPvvsM3z44Yeoqan5RpoBf0iQBFkJJPgBYMeOHdDX139pPU4CCeZiamoKJiYm+MMf/oCf//zn3/bH+c5DEmQlkEACCSSQ4BuCpLtYAgkkkEACCb4hSIKsBBJIIIEEEnxDkARZCSSQQAIJJPiGIAmyEkgggQQSSPAN4XstRjExMTFPSUYgEKC3txcaGhrfupyaBBJIIIEE3y0QQjA0NARdXd0XBme8Ct/rIHv69Gn87W9/+7Y/hgQSSCCBBN8jNDU1QV9fn+ra7/URnud3sgMDAzA0NMRvfvMb6Onpwc7ODitXroSsrOwr32N6ehrXr19HZ2cndHR0YGtrCwsLi3lzKl9236tXr6K/vx8GBgawtbWFmZkZ+PxXr2mGh4dx+fJljI2NYenSpbC1tYWpqekrp2sAQG9vL65evYrp6WmYmprCzs4OxsbGIldYra2tuHHjBjgcDszMzGBrawtDQ0ORO/uamhqEh4eDz+fDwsICtra20NXVFcl5+vQpEhISICMjA0tLS9jZ2WHRokWvvB4A8vLykJaWBjk5OVhZWcHOzg7q6uoiOWlpacjLy4OioiKsra1hY2PzwtzZ55GYmIji4mKoqKjA1tYW1tbWIqf+EEIQERGBmpoaqKurw87ODlZWViIP6QsEAgQEBKC1tRWLFi2Cra0tVq5cCRkZmVdypqamcPXqVfT29kJPTw+2trYwNzcXjv17GcbGxnD58mUMDw/DyMgIdnZ2WL58uUi7GRgYwJUrVzAxMQETExPY2dnBxMREpN10dXXh2rVrwvGEtra2MDY2FmkDjY2NCAoKAo/Hg7m5OWxtbaGvry+S8+zZM0RHR0NKSgqWlpawtbWFjo7OK68HgMLCQiQnJ0NWVhYrV66EnZ0d68CA+/fvIysrCwoKCrCysoKtre1L5+7OxZ07d1BQUABlZWWhrSkrK7/yekIIYmNjUVFRATU1Ndja2sLKykqoV/wqTkhICBoaGqCpqSnxUQvMRw0ODsLAwAD9/f1QUVEReS2D7/VOVkZG5qVOTVlZGcPDw8jPz4ehoSHrF+vr64tLly6hr68Pjx49wpIlS1gfYh8fH/j7+6OrqwuFhYUwNjYWGTCUlZXh6emJ8PBwtLa2CifUiHrwlZWVsWfPHiQlJaGpqQk8Hg9Lly4V+eArKytj69atuHfvHmprayElJYWlS5eKfPDt7OzQ2tqKR48eobKyEnJycjA2Nhb54Lu4uKClpQVlZWUoKyuDoqIijIyMRAaMzZs3o6WlBQ0NDSguLoaamhoMDAxEPsS7d+9Ge3s7Ojo6UFhYiEWLFsHAwEDkw3Xw4EF0dHRgYGAA+fn50NHRgY6OjkiOt7c3zp07h9HRUeTn50NfXx+LFy9+5fXArN2cP38eg4ODQrt51SzPuZwrV66gp6cHBQUFMDY2Fqkdq6ysDG9vbwQFBQm/Axq7OXDgAGJjY9HS0gIOhwNjY2ORixNlZWXs3LkTKSkpaGhoAJ/PF4r7vworV66Eu7s7cnJyUF1dDRkZGRgbG0NeXv6VHEdHR7S0tODJkyeoqKiAvLw8jI2NRQaM9evXo6WlBdXV1Xj69CmUlZVhaGgoMmBs374dra2taGlpQVFRETQ0NGBgYCDS+e/btw/t7e3Cv422tjb09PRE2o2npyfOnTsn9Dd6enqsiwYfHx+cP39e4qMWoI9iIE658QfZ+LRlyxbw+XwIBAKUlJRgampK5PWLFy/Gxo0bISMjg9HRUZSWlr4wpeZ5GBkZwcXFBXJycujr68OzZ89YZ0uam5vDxsYGCgoK6OjoQE1NDStn1apVMDU1hYKCApqbm18YpP0yMGPnFBQUUF9fTzXFZMuWLVBXV4eCggKqq6vR0dEh8noOh4Ndu3ZBUVERCgoKePbs2bwB0q/i7N+/H9LS0lBQUEBZWRnrdBI+n48DBw6Ax+NBQUEBJSUlGBoaEsmRkZHB/v37AczOjy0uLsbY2JhIjpKSEnbv3g0ejwcul4uSkhJMTk6K5GhoaGDr1q2QlpbG1NQUnj59+sqJOwz09PTg5uYGWVlZDA4Oory8nHWur6mpKVatWgV5eXl0d3ejqqqK1W6sra1hbm4OBQUFtLW1CceaiYKzszOMjIygoKCAxsZGNDU1sXI2btyIRYsWQUFBAbW1tWhvb2flbN++HSoqKlBQUEBVVdUrh9oz4HA42Lt3L+Tk5KCgoICKigr09vaK5HC5XBw4cAB8Ph8KCgooLS3F4OCgSI6UlBQOHDgADocDeXl5FBcXvzC55nnIy8tj79694HA4kJaWRnFx8QuTiJ6Hqqoqtm/fLvFRC9BHvQ6+1+ni5zE4OAgVFRX09/ejsrISS5YsQVhYGKSkpODt7S1yJS8QCFBYWAgdHR2EhYVBXV0dnp6eIldX09PTKCkpgaqqKiIiImBoaIgDBw6ITBmOj4+jqqoKfD4fsbGxMDc3x65du0SuroaGhtDS0oKxsTEkJiZi1apV2Lp1q8hVeXd3NwYHB9He3o67d+/Czc0Nbm5uIldozc3N4HA4qKioQE5ODrZt2wZHR0eRnKqqKqirqyM3NxdPnjzB3r17YWVl9crrAeDJkycwMTHB7du3UV1djUOHDrFq7j569AgWFhaIjo5Ge3s7vLy8YGhoKJKTn58PMzMzhIeHY3h4GN7e3tDW1mblmJiYCMe/eXt7i1z9E0JQUFAAfX19hIWFQVFREV5eXiJ3gDMzMygqKoKWlhbCw8Ohra2NQ4cOiUxPT05Oory8HPLy8oiKioKpqSn27t0rcgc4OjqKuro6CAQCxMfHw8bGBjt27BCZOejv70dXVxf6+vqQnJyMNWvWYOPGjSJtrb29HZOTk6irq0NmZiY2bdoEFxcXkXZTX18POTk5FBUVIT8/H7t27WId6l5WVgY9PT2kp6ejvLwc+/fvZ52FWlhYCDMzM8THx6OxsRGenp4wNjYWycnPz4eFhQUiIiLQ19cHLy8v6OnpsXKWLVuG8PBwTE5OwtvbW2RWgxAi3JFKfNTC8VFMDBkYGBC5G5+LH2SQnfsFjY+PIyYmBs3NzfDw8GB9wIDZ2kRERAT6+/vh7e09bxj5q9Df34+wsDBMTU3Bx8eHash0V1cXQkNDISMjA29vb6oaQHNzM8LDw6GhoQEPDw+RDxiDmpoaREVFwcjICPv37xf5gDEoKytDbGwsLC0thePU2FBYWIikpCQ4Ojpiy5YtrN15hBDk5OQgLS0N69evh6urK2uaRiAQIC0tDbm5udi+fTtWrVrFypmensatW7dQXFyMffv2YeXKlay/y+TkJOLi4lBbW4tDhw7B1NSUlTM6OoqoqCh0dnbCy8sLBgYGrJzBwUGEh4djdHQU3t7erClqAOjp6UFYWBg4HA58fHxYa43AbCAMDQ0VpgRpxtg1NDQgIiICOjo6OHjwIJWQfGVlJaKjo7Fs2TLs3buXKjVXXFyMhIQE2NraYvv27SIXAcCs3Tx8+BB37tzB2rVrsWHDBipbu3fvHrKysrB582Y4Ozuz2s3MzIywTrt7927Y2tqy/i5TU1O4efMmKioqcODAAZiZmbFyJD5q4fgoSZBlwau+IEIIMjIycP/+fWzZsgWrV6+mesCSk5Px+PFj7N69GzY2Nqz3n5qaQkJCAp49e4aDBw9ixYoVrJzx8XFER0ejpaUFnp6eWLJkCStneHgY4eHhGBwchLe3N2sNCAD6+voQFhaGmZkZ+Pj4UM2Q7OzsRGhoKOTk5ODt7U1ldM3NzQgLC4OWlhY8PDxE1ucY1NTUIDIyEsbGxti3bx/VA1ZaWoq4uDisXLkSO3fupHrACgoKcOvWLaxevRqbNm2icsz3799HRkYGNmzYgHXr1lEtAu7evYsHDx5gx44d8+Z3vgrT09NISkrC06dPsW/fPlhaWrJyJiYmEBcXh7q6Onh4eFDNzR0dHUVkZCS6urqoFwEDAwMIDw/H2NgYfHx8WGuHwOwiIDQ0FDweD97e3lSLgLa2NoSFhUFFRQWenp4iG9UY1NfXIyIiAnp6ejh48KDI+hwDpvFqxYoV2LNnD9Ui4MmTJ0hISIC9vb1wJqwoEEKQl5eHlJQUrFu3Dhs2bGC1G4mPWhg+ShJkWcD2BVVUVCAmJgZmZmbYvXs31QNWVFSEmzdvwsHBAVu3bqV6wB48eIDU1FS4urpi/fr1VA9Yeno6srOzsXXrVjg5OVE9YLdv30ZRURH27NkDa2tr1t9lcnISCQkJqKqqwsGDB7F8+XJWztjYGKKjo9HW1gZPT08YGRmxcoaGhhAREYHBwUH4+PiwpmiB2S7FsLAwEELg7e1N9YB1dHQgLCwM8vLy8PLyonoompqaEB4ejkWLFuHQoUNUi4CqqipER0dj6dKl2Ldvn8gULYOnT58iLi4O1tbW2LFjB+sigEkf3r59Gy4uLnB3dxdrEeDu7o41a9ZQLQJSUlKQn5+PHTt2CIeKi8L09DQSExNRWlqK/fv3w8LCgpUzMTGB2NhYNDQ0wMPDg2rw+sjICCIjI9HT0wMvLy+qIxQDAwMICwvDxMQEvL29qRYB3d3dCA0NpUrRMmhtbUVYWBhUVVWpFwF1dXWIjIyEvr4+Dhw4QLUIkPiob9dHSYIsC2i+oK6uLuoaCIOWlhbqGgiDuro6YQ1k//79VA9YeXk5dQ2EAZP+oKmBALMPS25uLnUNBJh1zOnp6dQ1EGD2Abt16xZ1nRaYfcDi4+Op67TA7AMWFRVFXacFZh8wceq0wOwiIDQ0FMBs1ybb0SNgNkVLW6dl0NjYSF2nZVBVVUVdp2VQUlJCXacFZu0mPz+fuk7LcDIzM6nrtMD8RcDOnTthb2/P+rtMTU0hMTGRuk4LzO7OYmNj0djYKNYiQJw6LTCboqWt0zKQ+Khvz0d9p4Ps6dOnER0djYqKCsjJyWHNmjX44IMP5qUrxsfH8e677yI0NBQTExPYtm0bzp49S1WnAuhXIZIayMKpgTyP70qd9uDBg1SLgG+jTsvWrMWASdG+yTrtnj17qBYB34U6LU2zFiCp0wLfHR+1evVqqKmpfTeD7Pbt2+Hj4wNHR0dMT0/j//2//4enT5+irKxM+IX/7Gc/Q2JiIvz9/aGiooK3334bXC4X2dnZVPcQZxXyr9RACgsLsWfPnu9VDcTb25vqAZtbA/Hy8qJ+wN5knVacB4yp0zo5OWHz5s3fmzqtOM1aC71Oq6ysDC8vL0mdVuKjvnEfpaioiJ/+9KffzSD7PLq6urBo0SLcu3cPbm5uGBgYgJaWFoKDg+Hh4QFgtj5hbm6O3NxcODs7v/Aezys+MWod4nxBc2sg+/fvpzqEzNRAHB0dsW3bNtbr59ZANmzYAFdXVyoOUwPZuXMnVe1sbg3kwIEDVLWzuTUQLy8vqrTZ3BrI4cOHqdJmc2sgR44coUqbza3THjlyhOphmVun9fX1pQroc+u03t7eVDstpk5rbGwMDw8PKp1Tpk5rY2ODXbt2UTlZpk67du1auLu7s95j7iJgy5YtL31unsfcFO3evXupamdz67QeHh5UtbO5dVpvb2+q2tncOq2vry9Van9unfbo0aNUAX1unfbIkSNUAX1unfbw4cNUAZ2p0+rp6cHLy4tqISjxUW/OR924cQNvv/22WDEEZIGiqqqKACAlJSWEEELu3r1LAJC+vr551xkaGpJPPvnkpe/xl7/8hQB44d/AwAD15xgdHSUdHR0kNzeXmjMyMkKamppIQUGBWJyamhry9OlTsThlZWWkqqpKLE5BQQFpbm6m5gwPD5OcnBzS1dVFdb1AICBDQ0Pk3r171N81w0lLSyOjo6NUnOnpaTI4OEhSU1PJ5OQkFWdycpIMDAyQu3fvkpmZGSrO+Pg46evrIxkZGUQgEFBxxsbGSFdXF7l//z7V9YTM2lprayt5+PAhNWdkZITU19eToqIisTiVlZWkvLxcLE5xcTGpq6uj5gwPD5OHDx+StrY2sThZWVmkt7eX6nqBQECGh4dJeno6GR4epuLMzMyQwcFBcvfuXTI+Pk7FmZqaEnKmp6epOBMTE6S/v5+kpaWJZTc9PT0kMzOTmiPxUW/GRxFCSG9vr9gxZEEqPgkEArzzzjtYu3atsBbW3t4OaWnpF4r8ixcvfqWKzB//+EcMDAwI/zEKNXl5eayqKwwIIUhMTASPx2NV+GEwOTmJO3fugMPhsCr8MBgaGsK9e/dACGFV+GHQ2dmJ/Px8zMzMsKquMKivr0dFRQUmJiaoOeXl5WhubmZVRWLA4XBQWFiI3t5ejI6OUnOys7MxMjLCqqLDgMfjIS0tDdPT09QcPp+PW7duAQD1Z+PxeEhISACXy6W2Gw6Hg5s3b4LH483LpogC02jB5XJZFX4YjI2N4e7du+BwOKwKPwx6e3uRnZ0tlq0xUofT09PUdlNdXY2amhqxbK24uBgdHR1i2VpeXh4GBwepbYDL5SIzMxMTExNi2dqdO3cgEAjEsrXExERwuVyxbU0cu5H4qDfjowCwpv1fei9C+1u8QfzsZz/DrVu3cP/+fWGbfnBwMN56660XDM/JyQkbN27EBx98wPq+TE32D3/4A5SVlWFrawtnZ2fWdNHTp08RFRUFWVlZODg4wMnJiTVVkJeXh9u3b0NBQQGOjo5YtWoVazE/LS0NWVlZUFFRgZOTE+zt7VlTTAkJCSgsLISGhgZWr14NGxsbkelMQgjCwsLw7NkzLF68GM7Ozli5cqXItBQhBNeuXRNOnnB2doa5ubnIFOj09DQuXLiA7u5uGBsbw9nZGcuWLROZyhofH8fZs2cxNDSEZcuWwcXFBUuWLBHJGRoawpkzZzA5OQlzc3O4uLiwHu3o7u7G+fPnQQiBlZUVnJ2dWdOMTU1NuHr1KqSkpGBjYwNnZ2fWY0SVlZUICQmBjIwM7O3t4eTkxNoJ+vjxY8THx0NeXh6rVq2Co6Mja2oyKysLaWlpUFJSEtoaW8PR7du3kZeXBzU1NaxevRq2trasde3o6GiUlJRAS0sLq1evhrW1tcj6JCEEgYGBqK2thY6ODpydnWFpaSnSUQkEAly6dAnt7e0wNDSEs7MzVqxYIdLWJicnce7cOfT398PExATOzs4wMTERaTejo6M4c+YMRkdHYWZmBmdnZ1YR+v7+fpw9exYzMzOwtLSEs7Mza/NQe3s7Ll68CC6XC2trazg7O7PWqOvq6nDjxg1IS0tLfNQC81Gv01284Hayb7/9Nm7evIn09PR5zlJbWxuTk5MvaNl2dHRQ1WHmwtraGpOTk3j48CEyMjJYV3+WlpZYvnw5xsfHkZ2djezsbNbVn6OjI/T19TEyMoKMjAzk5+ezrv7c3NygoaGBgYEBpKamoqioiHUlt2XLFigqKqKnpwd37txBWVmZyOs5HA527twJGRkZdHR04M6dO6iqqmLl7NmzBzweD83NzUhOTkZ9fb1IDp/Px549ewDMOo3k5GRW/VFZWVns3LkTwGxNMzk5GV1dXSI5SkpK2LJlCwghKCsrw507d9DX1yeSo6mpCTc3NwgEAjx58gSpqakYHh4WyTEwMICTkxOmpqbw6NEjpKWlse5qly9fDktLS0xMTCA3NxdZWVmsO1Rmus3o6CgyMzPx4MED1h3qmjVrsHjxYgwNDSEtLQ0FBQWsduPu7g4VFRX09fUhJSUFJSUlrJxt27ZBTk4OXV1dSElJQUVFhcjrORwOdu/eDT6fj7a2Nty5cwc1NTUiOVwuV6j129jYiOTkZFaNZGlpaezevRvAbENccnIyq0ayvLw8tm/fDmC2pnnnzh1WvWNVVVW4u7sL9YRTUlJY9Y61tbWxZs0azMzM4PHjx0hLS2PdORkbG8PW1lbioxagj3odLJggSwjB22+/jZiYGKSlpb3Qku7g4AApKSncvXtX+NqzZ8/Q2NgIFxcXse7l7u4OBQUFyMrKoq2tjdXomT+6tLQ0ZGVl0drayprK4XK52LNnD7hcLmRlZdHc3MzqYOf+0WVkZNDc3MzqYJnAxOVyweFw0NLSwvqgKCsrY/PmzZCSksLk5CTa29tZHxQtLS24urpCRkYGIyMj6OzsZOUYGhpi1apVkJWVxcDAAJX4tpmZGSwsLCArK4ve3l7WgAkA9vb2MDIygqysrFDvlA1r167FokWLICsri87OTtYgC8zajbKyMmRlZdHe3k6VZtq+fTtkZWWFtsYWmOcGJllZWbS0tLA6WB6PJwxMtLbGBCYOhwM+n09lNwoKCti2bRv4fD5mZmbQ1tbGagNqamrYuHEjpKWlMTY2ho6ODlaOjo4OXFxcICsri6GhIXR3d4u8HgBMTExgY2MDWVlZ9Pf3U9nNypUrYWpqCllZWfT09GBgYICV4+TkBF1dXcjKyqKrq4t1GAUwOyVIXV0dsrKy6OjooEo3b926VeKjFqiPEhcLJl3885//HMHBwYiLi5vXIq6ioiJMff3sZz9DUlIS/P39oaysjF/+8pcAgJycHKp7zN3qNzU1QVtbGykpKWhubqbqMCsoKMCyZcsQHR2NgYEB+Pr6snbB5uXlwdzcHCEhIRAIBPD19WXtgs3Ly4OpqSmCg4MhLy8PHx8f1jROXl4eDA0NERISgsWLF8PDw0Nk+o/837nBxYsXIywsDKampti3b5/IlAyzGldSUkJUVJTwjKKolMzExATKysrA5XKRkJAgPKMoKiUzPDyMhoYGDA4OIjU1FVu3bsXq1atF/v49PT3o7e1FU1MTcnJyqLpgW1paMDMzg+LiYhQXF1N1wVZVVUFZWRlZWVmora2Fj48Pq8DFkydPYGRkhJs3b6KrqwuHDx+mGkSwYsUKhIeHY3x8HL6+vqxnW/Py8rBixQoEBweDz+fj8OHDrGdbHzx4gKVLlyI4OBhqamrw8vISmWpm7EZPTw+hoaEwMDDAwYMHRaaNBQIBHj16BA0NDURERMDc3Fw40ehVmJqaQnFxMWRlZREbGys8R82WAq6ursbk5CRu3bqFjRs3Yu3atawp4Pb2dnR1dSEjIwO7du1iFbhgAmVVVRUePXpE1QVbX18PKSkp5Ofno6KigqoLtrS0VOKjFpiP+k6LUbzqQbh27RpOnDgB4GsxipCQkHliFLTp4pd9QczxhEePHuHgwYNUajDT09PCc2Pe3t5UB8EnJycRFRWF1tZWHD58mOog+OjoKMLCwjA0NARfX1+qM2CDg4MIDg4GIYTqYQFmA1RwcDAUFBTg4+NDdaylra0NwcHB0NHRwaFDh6jOqdbX1yMsLEwoDk97PCE6Ohp2dnbYtm0b1VGYoqIiJCQkiCUJxxxP2LZtG5ycnFjvQQgRClzs27ePSrFqZmZGeLbVw8ODSqxiamoKsbGxqK+vh7e3N5Vi1fj4OCIiItDd3Q1fX18qsYrh4WGEhoZifHwcR44coTrW0tfXh+DgYEhLS+Pw4cNUx1o6OzsRHBwMdXV1eHl5UR1raWpqQmhoKIyMjHDgwAGqc6rV1dWIiIgQnommaVh5+vQpYmNj4ezsjE2bNlEdhcnPz8ft27epZSsJIcjKysK9e/eoAjog8VHAwvFR3+kg+yYg6gt6+PAhkpOTqeXdyBxJuN27d1MpuwgEAuFB8EOHDlEpuzAPS2VlJby8vKgelomJCURFRQnPgH1TD8vAwABCQkIAzA6NpjG67u5uBAcHQ0lJCd7e3lQPS2trK0JCQqCjowMPDw+qc6p1dXUIDw/H8uXLsWfPHuqAHhUVJRQQoAnojx8/xs2bN6nl3cgcSbjt27fD0dGR9R6EEKFYxesEdE9PTyrhiampKcTExKChoQE+Pj5UwhPj4+MIDw9Hb28vfH19qYQnhoeHERISgsnJSfj6+n5jAb2jowPBwcHQ0NAQO6AvWbIE+/fvpwroVVVViIyMFA6joAnoJSUliIuLEyugS3zUt++jJEGWBWxf0Os8LMXFxYiPjxeKttM8LHl5ebhz5w61VBuZI++2Z88eqpFaAoFAeKj70KFDVCot09PTiI+PR1VVFby9valUWpiHpb29HYcPH6ZSaRkdHUVoaChGRkbg6+tLJfY/MDCA4OBgcLlcHD58mPphCQoKgrKystgBXVdXF4cOHaIO6GFhYUJFIJqAXl5ejujoaKxatYpKThKYlXdLTEyklpMkcyQoxQnoqampyMvLw/79+6nkJGdmZoTCE+IE9OjoaDQ2NuLw4cNUYv9jY2OIiIgQK6APDQ0hNDRUrIDe29uL4OBgyMrKwsfHR6yArqmpCU9PT6qA3tjYiNDQUBgbG3+jAV3io/59PkoSZFlA8wW1t7cjODgYixYtgoeHB9XD0tDQgLCwMOEUFpqHpbKyEpGRkbC2thY2BbCBeVgYAXZxHhZa2TXyf1Jt2dnZ1LJrr/uwxMXFoaamhlrdZ2JiApGRkejo6KBW9xkZGUFoaChGR0e/0YDe1dWF4OBgqKiowNvbm0qzt6WlBSEhIdDX18fBgwepAnptbS3Cw8NhZmYm7KZkQ1lZGWJiYsQK6AUFBUhKSqKWhiSEIDs7G+np6dTSkIQQoZLU/v37qaQhZ2ZmcPPmTZSXl8PT05NqhN/k5CRiYmLQ1NQEHx8f6oAeHh6O/v5+qromMBvQQ0JCMD09DV9fXyrhfiagy8nJUdU1AYmP+jZ9lCTIsoD2CxocHERISAhmZmaoHxamZkDbBAB8/bDQNAEwYB4WExMT1iYABs+ePaNuAmDAaK/SNCoB87VXaRqVGM7rPCxJSUnUjUrA7MMSGxuL2tpasQJ6REQEOjs7xQ7oY2NjVI1KwGzjjTiNSsDXAV1VVZW1UYlBc3MzQkNDxQroNTU11I1KDEpLS6kblRg8evSIulEJmC8NSSvXJxAIkJqaivz8fGq5vrkBnVaub3JyEtHR0dSNSsBsQA8LC6NuVAIkPgp4cz6Kmd6zd+9eLFmyRBJkRUGcVQjTBNDS0kL9sIyOjgoFrsVpAhCnqw+Y3wTg7e1N9bC0tbVRd/UxeJ1Gpdd5WBgd1XXr1ondqCTOw8I0KtHq7zIBvaSkRKxGJWYSD03nMfCvNyp9kwGdaVSi6Txm0NzcjJCQEBgaGrJ2HjP4VxqVVq9ejc2bN39jAf1faVQSJ6AnJCRQdx4DEh8FvFkfxQx82L17tyTIMvhXBwQIBALh2CpfX1+qgv7cJgA/Pz+q/P/k5CQiIyPR1taGt956i8phzm0C+NGPfkRVN2K6+gDgrbfeojLiuU0Afn5+VM6PqWvq6enB29ubyvkxD4u5uTn27t3Lej3wdaMSU2uiAdOoRCuOP7dRad++fVTBeW5A9/b2pgrOcxuVjh07RpXSnNt5fOLECaod0NyA/qMf/YjKYc5tVPrRj35EFWjnNiq99dZbVM6PCegaGho4evQold0wjUpLly7FoUOHWK8Hvg7odnZ2QkEKNjABnamH04DpPKbdbc8N6B4eHlRdxBIf9WZ91PXr1/HXv/71+zEg4N+Bf8eAAIFAQHJycqhF6wmZFSDPysoiExMT1JzJyUmSlZVFLT5OyKyQdnZ2NrWQOCGE9Pf3kwcPHlBfTwghXV1dYgmJE0JIS0sLKS4uFotTX19PKioqxOI8e/ZMLNF6QggpKSkRS7SeEEIKCgpIT0+PWJwHDx6QoaEh6utnZmbI/fv3qUXrCZkdkpCZmUmmpqaoOePj4+T+/fvUAxIIIWRoaIjk5OSIZWu9vb1iDTsghJCOjg6xhh0QQkhTUxMpLS0Vi1NdXU2qq6vF4pSVlZHGxkaxOEVFRaSzs1MszsOHD0l/fz/19RIf9eZ8VG1t7fdjQMC/C68aEBAREUEtn8UIaCclJaGjo4OKwwiC37p1i1WqjYGUlJRQdoxGsQgA5OTk0NjYiLt371KLlispKeHZs2fIzMykFrtXUVHB48ePkZubSy1ArqqqitzcXBQUFFALkCsrK+PevXsoLi6mFiBXVlZGSkoKysvLqcXE5eXlcevWLdTU1FBzpKSkcOvWLTQ2NlJdD8zuTJKSktDW1kZ1PZfLxeTkJJKSkljlJBnweDwMDg7i9u3bL0iOvgoyMjJoa2tDamoqlWIRMKv2VFtbi4yMDGpBdSUlJTx9+hT379+nFrtXUVHBw4cP8fDhQ+ohCSoqKrh//z4eP35MPSRBRUUFd+/eRWlpKbWtKSoq4s6dO6isrKS2G1lZWdy6dQt1dXXUHB6Ph6SkJImPWoA+iqZx8nl8r9PFz4OpyX7++efo6+vD0qVL4ebmxtoIMz09jbNnz6Kvrw9mZmZwdXVlPdc1Pj6OL7/8EmNjY1i5ciVcXV1Z03mDg4P46quvMDMzA1tbW6xbt471yEFnZyfOnz8PHo8HBwcHrF27lrXW1tDQAH9/f8jIyMDJyQnOzs6sx1vKy8sRHh4OeXl5ODs7w8nJiTWVk5+fj6SkJCgpKWHt2rWwt7dnrc9lZGTg3r17UFNTw7p162BjY8Oa/klMTMSjR4+EsmqWlpasdZaIiAiUlZVBV1cXbm5uWL58uciUESEE/v7+aGxsxJIlS+Dq6gpjY2ORnJmZGVy4cAFdXV1YtmwZ3NzcWNPAk5OTOHPmDAYHB2FhYQE3NzfWGu3IyAi++uorTE5OwtraGuvWrWN1Br29vTh79iyAWVnKtWvXsqaOW1tbcenSJUhLS2PVqlVwcXFhTQFWV1cjKCgIsrKyQrthSzc/efIEsbGxUFRUhIuLC1atWsXaqJWTk4OUlBSoqKhg7dq1sLOzY01Rp6SkICcnBxoaGnB1dYWVlRWr3cTGxuLJkyfQ1taGq6srzM3NWe0mODgY1dXVMDAwgJubG+vwAoFAgCtXrqC1tVXioxaYj/peDAh4E9iyZQuA2eMQTGu/KPD5/Hli4jExMawrRllZWWzevBmEEJSUlCAmJoZVT1VZWVkoXF9YWIj4+HhWTd1FixZh9erVmJ6eRl5eHhITE1lXf0ZGRrCyssLExASysrJw584d1l2DmZkZli5ditHRUaSlpSE9PZ111+Dg4ABtbW0MDQ0hOTlZOF5NFNauXQtVVVX09fUhKSkJ+fn5VGL3jHD9zZs3UVxcLPJ6YFYbls/no7W1FfHx8Xj27JnI6xltWA6Hg/r6emEtVBR4PB527NgBYPZ8Y0xMDFpbW0VypKWlsXXrVgBfH71h0+5VUFDAhg0bIBAIUFRUhNjYWFYdXnV1daFwfX5+PhISElh3qLq6urC3t8fk5CRycnJw+/Zt1h2qqakpzMzMMD4+joyMDNy9e5d112BtbQ0DAwMMDw8jJSUFmZmZrLvN1atXQ1NTEwMDA7h9+zYePHjAajdubm5C4frExEQUFhaKvB4ANm/eDBkZGbS3tyMhIQGlpaUir+dwOMLmmqamJuGREFHgcrlCu5H4qIXno8TFDzLI6unpwdbWVihaTpMqWL58OZYvXw5paWmMjo5SpaVsbW2hp6cn5NCkpZydnaGurg5paWmMjIxQcdavXw8FBQUhh8ZItmzZAmlpaUhLS2N4eJiVw+FwsGPHDnC5XOF92DDXWUhJSVGlGaWkpOapLdGki+Tk5LBp0ybw+XxMT09TpYtUVFTg6uoKaWlpjI+PU6UmFy9eDEdHRyGHxgaMjY1haWkplt1YWFhgyZIlYtmAo6MjFi1aJLwPjQ24urpCRUVFrPts2rQJsrKy1HYDfL2gEdfWAFDbGo/HEwYZHo9HZWsyMjLYunUreDweBAIBVUpbUVERGzZsEArX09iNhoYGXFxcxPI3+vr6Eh+1QH2UuPhBposHBgbA4/FQXV2N/v5+ZGVl4dChQ6zdfL29vejo6EBdXR2ePHkCHx8f1m6+1tZWjI2NoaioCLW1tThy5AhrGqe6uhpycnLIyMhAV1cXjh07xpr+e/LkCfT09BAXF4eJiQkcPXqUNZ3x8OFDmJqaIiwsDFJSUvD19WVNyeTm5mL58uUIDAwUytXRpPKMjY0RFBSEJUuW4MCBAyJTwOT/Onp1dXUREhIiPAzPlmJj5qNGRkZSnZ2bnp5GYWEhpKSkcPPmTSrd4vHxcZSVlWF8fBx3797F/v37WWUOBwcH0djYiPb2duTl5cHLy4u147izsxP9/f2oqKhAeXk5fH19WWUOGxoaAMyK/jc3N+PYsWOsqkhlZWXQ0NDA7du3MTg4iKNHj7Km/woKCrBkyRJERUWBEIIjR46wpo0fPHiA5cuXIygoCEpKSvDx8WEVUcjJyYGpqSkCAwOFClxs5YacnBwYGhoiODhYqMAlKgXM2NqiRYsQHh4uFOxgKwPk5+dDUVERsbGxwuNAojA5OYni4mIQQnD79m2q40AjIyMSH7XAfJREjIIFz39BhBBwOBxhqz2N4TNfV2ZmJrXhM5xbt25RGz4hBAKBQJheYjN85neZnJxEREQEleEznLGxMYSEhGB8fJzV8BnO0NAQAgMDqQyf4fT09FAbPsNpa2sTKzgz6dzQ0FBYWVkJV7ZsnIqKCurgzHCYs3M0Z3UZTk5ODnVwZuzm7t271MGZEAJCiFBEgS04M59renoaUVFRVMGZ4UxMTCA0NJQqODOckZERBAUFUQVnhtPf34/AwEAoKiqyBmeG09XVhYCAAKrgzHCam5vFCs4cDgfV1dXUwZnhPH36FDExMXB3d2cNzhIftbB8lCTIskDUFySO4TMQx/CBrwW7aQ2f4TByYDSGD8yutGkNn4E4hs9AHMNnII7hMxAnODMQJzgzECc4M3j27BkiIyOxZs0aKtUZAGIFZwbiBGfg66ECtMEZmM0G0AZnBuIEZwbiBGcG4gRnBuIEZwbiBGcG4gRnBjU1NQgLC6MKzgwkPurb91GSIMsCti/odQ0/NjYWGzZsoFKQASSGzxj+2NgYjh07JgnOP/DgfPToUSqVK0lwlviob9tHSYIsC2i+IInhvxnDn5qaQnh4OLq6unD06FEqeTdJcH7zwVkclas3FZyjo6PR1NQkVnBmtIElwVnio/4VH/WdD7KZmZn46KOPUFBQgLa2NsTExGD//v3Cnw8PD+MPf/gDYmNj0dPTA2NjY/zqV7/CT3/6U6r3p/2C/hXDX758Ofbu3fuNGX5paSliYmIkhr8Ag3Nvby8CAgKgrq4Ob2/vbyw4NzQ0ICQkRBKcy8tx+PBhKn1oSXCW+Kh/h49SVFT8bgfZW7duITs7Gw4ODjh48OALQfYnP/kJ0tLScPnyZSxZsgR37tzBz3/+c0RHR1Pp3YqzCvkuGL6DgwO2bt26oAw/KysLmZmZkuD8GsFZnJ1ze3s7AgMDXys4M7NIv+vBOS0tDQ8ePBArOCcmJqKsrOyNBOf+/n4cO3ZMrOAsEAhw9OjR701w/r75qF27dsHGxub7oV0MgMTExMx7zdLSkpw8eXLea/b29uRPf/rTS99jfHycDAwMCP81NTWJpTs5PDxMLly4QC5dukSt89rX10e+/PJLEhQURK3X2dnZST755BMSGxtLdT0hs3qtH3zwAblz5w41p7q6mrz//vskJyeHmvP06VPy3nvviaUn+/DhQ3Ly5ElSWVlJdb1AICD37t0j7733HmlqaqLmJCUlkb///e+kq6uLijM9PU2ioqLIhx9+SAYHB6k4k5OTJCgoiHz66afUmsKjo6PkypUr5OzZs9Q6r4ODg+Ts2bPE39+f2m56enrIZ599RsLDw6muJ4SQtrY28tFHH5HExERqTn19PTl9+jTJyMig5lRUVJBTp06R/Px8as7jx4/JyZMnxdIhzsnJISdPnqTWrxYIBCQ1NZWcOnWKWr96ZmaGxMXFkX/84x+kr6+PijM1NUXCwsLIxx9/TEZGRqg44+Pj5Pr16+SLL74gk5OTVByJj3qzPupPf/qT2NrF36kg+5//+Z9k1apVpLm5mQgEApKWlkYUFRXJvXv3XvoerxoQII5g9/j4OHny5IlYAuzDw8Pk6dOnYglp9/f3k7KyMrGEtDs7O0lVVZVYnObmZlJfX099PSGE1NXVkebmZrE4VVVVpLW1VSxOeXk5dcAkZNbwS0pKqB0fwykqKhJLuH96epoUFRWRsbExas7k5CQpKiqidpaEzAbn4uJisexmcHCQlJaWiiX239PTQyoqKsSym7a2NlJTUyMWp7GxkTQ0NFBfT8isk21paRGLU1FRQTo6OsTilJaWijXwQSAQkOLiYrGc68zMDCkqKhJLuH9qaooUFRWJNSRC4qPenI8qKCj4fgfZ8fFx4ufnRwAQPp9PpKWlyfXr11/5Hq/ayX766ackNzeX2ihHRkbI2bNnSUFBAbUz6+3tJWfOnCElJSXUBtbS0kLOnTtHnj17Rs2pqqoily9fFmsSTVFREbl+/bpYRpmdnU1CQkLEcmZ37twhUVFRpLe3l5oTFxdH4uPjxTLi0NBQkpycTL1jEAgExN/fn6SlpVE7s6mpKXLx4kVy//596sA5NjZGzp49Sx4+fEjtzAYGBsiZM2dIUVERta11dnaSs2fPiuUA6+vryYULF0h1dTU1p7S0lFy7dk2sSTQPHz4kgYGBYk09Sk9PJ+Hh4WItuBITE0lsbKxY02uioqJIUlIS9YJLIBCQgIAAkpKSQh04Z2ZmyJUrV8i9e/eoJ95MTk6S8+fPS3zUAvRRAwMDYgfZBVWTnQsOh/NCTfbjjz/GpUuX8PHHH8PIyAiZmZn44x//iJiYGGzevJn1PZmabGZmJtLS0qCiooL169fDxsaGtc5w//593L17FxoaGnB3d2cVBgeA27dvIy8vD9ra2nB3d4epqSkrJzo6GiUlJTAwMMCmTZtYhcEJIQgMDERtbS1MTEzg7u7OWqMkhODChQvo6OiAubk5Nm7cyCoMPj09ja+++goDAwOwsbHBhg0boKqqKpIzNjaGL774ApOTk7C3t4ebmxurMPjAwAC+/PJLcDgcODk5Yd26dayC8h0dHTh//jykpaWxZs0aODs7swqD19XV4caNG5CTk4OrqyscHR1ZBeWfPn2KqKgoKCkpYf369bC1tWWthebl5eH27dtQU1PDhg0bYGVlxWoDaWlpyMrKgpaWFtzd3bFixQpWTkJCAgoLC6Gnpwd3d3eqod+hoaF49uwZlixZgk2bNrEOLyCE4OrVq2hubsby5cvh7u7OWqOcmZnBuXPn0NPTg5UrV2Ljxo2ss0gnJyfxxRdfYHR0FLa2ttiwYQNr/Wt4eBhffvklZmZmsGrVKri6urIOCu/p6cHZs2fB4/Hg7OyMNWvWsNY1m5ubceXKFcjKymLt2rVYvXo1a12zsrISISEhUFBQgJubGxwcHFjt5vHjx4iPj5f4qAXmo77XAwLGxsbw//7f/8Mnn3yCPXv2wNraGm+//Ta8vb3x8ccfi/VeVlZW0NLSwsDAAG7evInMzExWXczVq1dDWVkZPT09iImJwcOHD1nv4+bmJhQTj4yMRElJCSvH3d0dPB4PTU1NCAsLQ2VlpcjrORyOcIFRU1OD0NBQobyeKA4zJKG8vBwhISFob28XyeHz+cLB6E+ePEFISAjriCw5OTmhmPijR48QHh7OOlpNRUUFzs7OmJ6eRk5ODqKiojA2NiaSs3jxYtja2mJychIZGRlISEhg1ZQ1NjbGsmXLMDY2hjt37uD27dusWq+WlpbQ1dXF0NAQEhMTkZ6ezmo3q1atgpqaGvr6+hAfH4+cnByqIQny8vLo6upCdHQ0Hj9+LPJ6AEI93ZaWFoSHh6OsrIyVs3nz5nkKWbW1tSKvn2s3TOBgG8fG4/GwadMmALOLlJCQENYxftLS0tiwYQMIIXj8+DFCQ0NZBx4oKioKBx7k5eUhMjKSVbtWQ0MDDg4OmJqaQlZWllDuTxT09fVhYWEhlNVMSkpi1RVetmwZjIyMMDIyglu3biElJYVV79fGxkbioxaojxIX35kgOzU1hampqRdWc4y4tzjgcrnCdnQOhwM5OTnW1ZuUlBQ2btwovB9N16i8vDxcXV3B5/MxMzPDuiMDZmccOjk5icXR0dGBtbU1+Hw+BAIBFcfExAQmJibg8/kghFB1JlpZWUFbW1u442PbLQKzwvWqqqrg8/ngcDhUnbPM7pXP54PL5VJ1QG7cuBF8Ph98Ph88Ho+q25YJMnw+H1JSUqw7hbkPPpfLhYyMDKvdMEGGy+WCEEJlazIyMli/fr1YNqCkpAQXFxexbEBTUxP29vZicQwNDWFmZibk0NiNmZkZDAwMhLZGYzf29vbQ1NQU2hqN3TCj98SxtfXr10NaWlpoa2zZDADCvyetrc21G2ZQApsNSHzUwvZR4mBBpYuHh4dRXV0NALCzs8Mnn3wiTC8ZGhpiw4YN6O7uxldffQUjIyPcu3cPP/vZz/DJJ5/gZz/7Gev7z93qKykpITs7G1paWoiIiMCmTZvg4uIiki8QCPDgwQPIy8sjISEBe/fuhY2NjUjO1NQUCgsLMTMzg7S0NHh5eWH58uUiOWNjYygrK0Nvby8ePXqEI0eOsB436O/vR1NTE2pra1FZWQk/Pz/WVF57ezsGBgbw+PFjtLe34/jx46zHDWpra8HlcoXDu/38/FiPGzx9+hQaGhqIj48Hn8/HkSNHWB+Y/Px8GBkZITQ0FBoaGvD29mZ1gLm5uTAxMUFAQACMjY2xf/9+1sCZnZ2NJUuWICAgADY2Nti+fTurM8vOzoa2tjZCQ0Oxbt06rF+/XuT1hBDk5ORAVVUV0dHR2LFjB1atWiWSMzMzg4cPH4LP5+P27ds4ePAgLC0tRXImJiZQXFyM0dFR3L9/H4cPH2ZNGzPPXGtrK0pKSnDs2DHWVF53dzc6OztRXl6O+vp6HD9+nPVIVFNTEyYnJ5Gbm4u+vj4cP36cNd327NkzKCgoCLMMx44dYw0cjx8/hq6uLiIjI6GoqIjDhw+zOs28vDwYGxsjODgYOjo68PDwYA2c2dnZQltjRCFo7EZfXx9BQUFwcnLCpk2bWLWOJT5qYfmo10kXL6jGp/T09Jd2Ax8/fpwQMtvheOLECaKrq0tkZWXJihUryD//+U/qAvzzRWuGV1lZSd577z1y//591vdgOE+ePCEnT54khYWF1Jzc3Fzy3nvvkfLycioOc9zg/fffp2oaYDjx8fHkgw8+oGo2EQgEZHp6moSFhZFPPvmEquNSIBCQiYkJ4u/vT7766ivW4zDM7z86OkouXLhALl68yNqpy3AGBgbIF198QW7cuMHacMRwuru7yT//+U8SERHB2nDEcFpaWsg//vEPcvPmTVZ7Yn5eW1tLTp06RdLS0qg5paWl5OTJkyQvL0/k9XM5jx49IidPniQlJSXUnHv37pFTp06RqqoqKo5AICC3bt0ip0+fpjpGJRAIyMzMDImOjiYfffQRVce+QCAgU1NTJCgoiHz++eesTUrM7zI+Pk6uXLlCzp07R4aHh6k4w8PD5OzZs+Tq1auszW0Mp6+vj3z22WckODiYteGI4XR0dJAPP/yQxMbGsjYcMZyGhgby97//nSQnJ1PbjcRHLQwf9b1qfPomIGoVUl1djbCwMLi5ucHV1ZXq/RjB7p07d8LBwYGK8/DhQyQnJ8PDw4P6IHRGRgZycnLg6+tLJdZACEFSUhKePn0KPz8/6OjosHJmZmYQExODxsZGHD9+nErfc2pqSlgv8/Pzo1rZjY2NITAwEIQQHDt2jCptNDQ0hBs3bkBJSQmHDx+mSh/39vbi+vXr0NPTw6FDh6jSx21tbQgICIC5uTl2795NdRi+vr4ewcHBcHZ2xsaNG6k4zMSfzZs3w9nZmfV6YHaHdvPmTWqxBmC2ESYjIwPe3t5UYg2EEKSkpKCgoABHjx6lkjkUCASIj49HdXU1/Pz8qAYETE9PIyIiAp2dnTh+/Dhrcwowu0sPDg7G+Pg4/Pz8WJuagFmBh4CAAEhLS+PIkSNUqcP+/n7cuHEDmpqa8PLyokofd3V14fr16zAxMcG+ffuoxBqam5sRGBgIW1tbbNu2jcpuJD7q2/dR3+vGp28apqamOHz4MDIzM3Hv3j0qzsqVK3Hw4EEkJSXh0aNHVBwnJyds374dkZGRKC0tZb2ew+Fg48aNWLduHYKDg1mbUxjOzp07YW1tjRs3brA2pwCztcODBw/CyMgI/v7+6O7uZuVISUnBx8cHqqqquH79OgYHB1k5cnJyOHbsGHg8Hm7cuEE1JFlJSQnHjx/H8PAwgoODqYayq6ur48SJE2htbUVkZCTVAGsdHR34+fmhoqICCQkJVIOllyxZgiNHjiAvLw93796l4piZmcHLywupqanIzc1lvR6YLZ/s3bsXcXFxePLkCRVn3bp1cHd3p2pOAb6uHTo6OiIwMBCNjY2sHC6Xi3379mH58uW4fv06Ojo6WDl8Ph9eXl7Q1taGv78/+vr6WDkyMjI4cuQI5OTkcP36dQwPD7NyFBQU4Ofnh6mpKQQGBmJ8fJyVo6qqiuPHj6OnpwdhYWFUQ9m1tLRw4sQJ1NbWIiYmhqpHRF9fH8eOHcOTJ09w+/ZtKruR+KiF66NEQRJk52Dp0qXw9fVFdnY2VecoMNtx6uHhgVu3blF18wGzhfadO3ciOjoaT58+peKsX78ebm5uCAkJEdatRYHD4WD79u2wsbFBQEAAmpubWTlcLhcHDhzA0qVL4e/vz9oFCnxtxBoaGvD392ftAgUAWVlZHD16FFJSUrhx4wZrFygw2z16/PhxjI6OIigoiLULFADU1NRw4sQJtLe3Izw8nLULFAC0tbVx/PhxPHv2DPHx8VQO08jICEePHkV+fj5SUlKo7Gb58uXw9vbG3bt3kZ2dzXo9MNtxum/fPsTHx1N1HAPAmjVrsHnzZoSHh6OiooL1eg6Hg02bNmH16tUIDAxEfX09FWfPnj0wMzPD9evX0dbWxsrh8Xjw8PCArq4u/P39WbtAgdnmJ19fXygqKuL69etUXaDy8vLw8/PDzMwMAgICqAKtiooKjh8/jr6+PoSGhlIFWk1NTZw4cQINDQ2Ijo6mWtTp6enh2LFjKC4uRlJSEpXdSHzUwvVRr/zMr838nsLY2Bi+vr7Izc2lNmJzc3N4enrizp07ePDgAdV9HBwcsHv3bsTExKC4uJiK4+rqig0bNiA0NBRVVVWs13M4HGzbtg329vYICAhAU1MTK4fZmSxbtgzXr19HZ2cnK4fZmWhpacHf3x/9/f2sHGZnIiMjQ23ECgoKOH78OCYmJqgDraqqKk6cOIGuri7qQLto0SKcOHECVVVViIuLowq0BgYGOHbsGAoLC5GcnExlN8uWLYOPjw8yMjKQlZXFej0AWFtb48CBA7h58yYKCgqoOM7Ozti6dSsiIiJQXl7Oej2zM1mzZg2CgoJQV1dHxdm9ezcsLS1x48YNtLa2snJ4PB4OHToEAwMD+Pv7o6enh5UjLS2Nw4cPQ1lZWaydiZ+fHzgcDm7cuMF6JAwAlJWVcfz4cQwODiIkJIQqe6KhoYETJ06gqakJUVFRVIFWV1cXx48fR2lpKW7evEllNxIftXB91Msgqcm+Ao2NjQgKCoKjoyNrFyCDyspKhIeHU3UBMnjy5Ani4+OxZ88e2NraUnFyc3Nx9+5deHp6YsWKFazXk/+bdJKfnw9fX1/Ww+MMJyEhAc+ePaPqAgRmayaRkZFoa2uj6gIEZoUHQkJCMDIyQtUFCACjo6MICAgAj8fD0aNHqVr7BwcHcf36dairq8PLy4uqrtvd3Y3r168LRfhpam0tLS0IDAwUTsihsZva2lqEhIRQdSozKCsrQ1RUFFWnMoNHjx7h1q1bVJ3KDO7du4f79+/Dx8cHJiYmrNeT/xNTf/LkCY4dOwY9PT1WjkAgQGxsLOrq6qg6lYGvBz709PTg+PHjUFFRYeWMj48jKCgI09PTVJ3KwGz39Y0bNyAvLw9fX1+q4x19fX24fv06dacyMCuocuPGDaEIP43dSHzUm/dR+/fvh56enqQmy2BiYgKDg4Pz/tHC0NBQmAKkTc3NTQE+e/aMisOkABMSEqhWccDsecAtW7YgPDycqi4xNwUYFBREVc9iUoDm5uYICAigWsnPTQEGBgZSreTnpgBDQ0OpVuVMCpAQgpiYGNbrgdmdyYkTJ9DX14dbt25RceamANPT06k4enp68PPzQ0lJCfLy8qg4c1OANGIAAGBhYSFMAdLUwIBZYYxdu3YhOjqa9WA/AyYFGBoaSrX6Z1KAdnZ2CAwMpNo1crlc7N+/H0uXLkVAQABVtkFKSgre3t7Q1NRESEgIld3MTQFGRkayXg98XaYYGxtDQkICFWdumSIlJYWKs3jxYhw/fhxVVVW4f/8+FUfio968j4qKimK9/oXP+X3eyf71r3/F3/72txdef/bsGes5MAYdHR1QVVVFX18ftLW1qThtbW1QV1fH4OAgqxQYg5aWFqipqWFiYoJqdcVwmNUUm1zhXI6CggKkpaWpVvKEELS2tkJWVhaKiopUHZozMzPo7OwEj8eDmpoa1a5xampKWJfT1NSkWv2Pj49jZGQEU1NTWLx4MdVKfmhoCAKBAKOjo9DW1qbi9PX1QUZGBgMDA1RdkMBsx6mysjJ6e3upOe3t7VBXV0dfXx/VqhwAWltboaGhgeHhYapuS2DWBlRUVDAzM0O1A2Q4SkpK4PF4VJ29jN3IyclBXl6eKtsgEAjQ3t4OaWlpKCsrU+0ap6en0d3dDS6XCw0NDSq7mZycxMDAAGZmZrBo0SKqDMXo6CgmJiYwPj5ObTcDAwPgcrkYHh6m5nR3d0NBQQH9/f3UdiPxUW/ORzU0NGDZsmWSnSyDP/7xjxgYGBD+Y1ZhlZWVCAsLo+pqXLx4MWRkZFBQUIDY2FiqZgsdHR3IyMggIyMDSUlJVN1penp6kJOTQ0JCAlJTU6nqjXp6elBQUEBISAgyMzOpGjQYjr+/P/Ly8lhXchwOR/jZLl68iMePH7PuGng8HnR0dMDn83H+/HmUlpaycqSkpLB48WJMT0/j/PnzVI0TsrKy0NDQwNDQEC5dukTVDaukpAQVFRW0t7dTN+moqalBXl4eNTU1CA4OplqZa2lpQUZGBiUlJYiKiqJqttDW1oa0tDRyc3MRHx9PtZrX1dWFjIwMkpOTkZycTNXYw9hAVFQU0tPTqXYADCcgIAA5OTnUdqOgoIDLly/j0aNHrLVtLpcLXV1dSEtL48KFCyguLma1Gz6fLwws586dw7Nnz1g50tLS0NLSwvj4OC5evEhVc5aXl4eamhp6e3tx9epVqm5YFRUVKCkpoampCYGBgVS1Q01NTcjJyaGiokLioxagj6I5ovbC5/s+72SfB1OTbW9vx7Vr1zA9PQ1nZ2e4urqyrn4GBgbwxRdfgMfjYd26dXBxcWFd/TDC9bKysli/fj0cHR1ZV9q1tbUICAiAgoICNm3aBFtbW9YVcElJCaKjo6GiooItW7bAwsKClfPgwQMkJydDU1MT27Ztg6mpqcjrASA1NRXZ2dnQ0dHB9u3bqYZex8XFoaioCEZGRti2bRvV6jwkJASVlZVYtmwZtm7dylqjI4TgypUraGlpgaWlJbZs2cK6QxMIBPjqq6/Q19cHOzs7uLu7s9aDJycn8fnnn2N8fByOjo5Yv3496znf4eFhfP755wBmO33Xrl3LukPr6enBmTNnICUlBTc3N6xevZr1vGZTUxOuXr0KeXl5bNy4Efb29qw7NMaRKykpYfPmzVTDCwoKCnDz5k2oq6tj69atWL58OSsnMzMT6enpWLRoEbZv3051jpLphNXX18f27duparvMkZOlS5di27ZtVA7x+vXrqK+vh5mZGbZu3cq6QyOE4Pz58+js7IS1tTU2bdrEuqOZnp7GF198geHhYTg4OGDjxo2sO7SxsTF8/vnnEh+1wHyU5JwsJeTk5ODs7IyZmRlkZ2cjNDSUdSWnoqICe3t7TE1NIT09HdHR0aw7gMWLF8Pc3Bzj4+NITk7GzZs3WVdlxsbGMDQ0xMjICOLj43Hnzh3WHYClpSU0NTUxMDCAqKgoKjFxBwcHKCoqoru7G6GhocjPzxd5PTAbJKSlpdHW1obAwECq1n43NzdwuVw0NDTgxo0bVDtUpvmnqqoK169fZ60DcTgcbNiwAQBQWloKf39/1l0Dl8uFm5sbgFmhh4CAANaaIzPlRyAQIC8vD8HBway7TUVFRTg6OmJ6ehqZmZmIiIhg3W1qaGjA2toak5OTSE1NRVxcHOsOwMDAACYmJhgdHUViYiKSkpJY7WbFihXQ0dHB0NAQYmNjkZaWxmo3tra2UFVVRW9vL8LDw/HgwQMq4Xo5OTl0dnYiODgYRUVFIq8HZs/48vl8NDc348aNG1THjxi7qa2tFQZPNjB2U1FRAX9/f9bMBofDEd6nuLgYN27cYO2K5vP5cHV1BSEEjx49QmBgIGt/iMRHLWwfJQ5+kEEWgHAcGo/Hg4qKCpXykKurq1AQnDaPzzyQPB6PqtbIBAwOhwMul0tVM+JyuVi/fj24XC44HA5VfVJKSgrr1q0Dj8cDh8OhWvXLy8vDyclJ+B3Q1HLU1NRgY2MDHo8HKSkpqrqhrq4uVqxYAR6PB2lpaar6j4mJCfT19cHj8SAnJ0dVa7S2toa6urqwzkjT2ezo6AgFBQXweDwoKytT1YzWrl0LKSkpoa3R1Izc3NzA4XDA4/GgoaFBZWtMwODxeFR2wwQMceyGx+MJnwPGbmgGHri4uIDH44HL5VLZjZKSknAkHJ/Pp+o41tLSwsqVK4W2xjZSD5g942xsbAwejwdZWVkq9Slzc3MsXrwYPB4P8vLyVLVGOzs7KCsrg8fjQVFRkaquLfFRC9dHiYMfZLqY2eo/ePAARkZGCAwMhIWFBXbu3Mn6h79//76Qs2bNGqojF/fv3xcKym/btg2Ojo4iryeE4P79+1BVVUVsbCzVkQuBQIDc3Fzw+XykpKTA19eXVRx+enoa+fn5GBsbQ15eHo4fP84qDj82NobS0lK0t7ejoqICJ06cYHWA/f39aGhowLNnz9DW1oa33nqLNdXS1taGgYEB5OXlYXR0FCdOnGB1MjU1NeByuUhJSYGUlJSwk1QUiouLoaGhgejoaKGUHpuTyc/Ph76+PoKDg2Fqakp15CInJ0doN/b29sIJQKJw//59oaA8c26VDcwc2oiICKojF4ytKSoq4ubNm/Dy8mI9csGMkxMIBLh37x6OHTvGmpabmJjAkydP0NfXh6KiIpw4cYK1uWtoaAhVVVVoaGhAXV0d3nrrLdYFV3d3N9rb21FcXIze3l689dZbrAGtsbERExMTyMrKwszMDPz8/FgXQuXl5VBQUMDNmzeFcp9sKf3CwkJoa2sjPDwc+vr6OHjwIGtwkvioheWjvvMDAr5pvGpAQGtrKzl9+jRJSUlhfQ+GU1dXR06dOkVycnKoOWVlZeTkyZOkqKiImlNQUEBOnjxJKisrqTmZmZnk/fffJ42NjVQcRhz+gw8+IB0dHdScqKgo8sknn5C+vj4qzvT0NAkMDCRfffUVq9A7w5mYmCCXL18mly5dohJ6FwgEZGRkhJw5c4YEBARQC7339/eTTz75hERGRlILvXd2dpIPPviAJCUlUQu9NzY2kvfff5/cu3dP5PVzOVVVVeS9994jjx49ouYw4vClpaXUHEYcvra2lpqTmppKTp8+TVpaWqg4AoGAxMXFkY8++oh0d3dTcWZmZkhoaCj5/PPPWYXeGc7k5CTx9/cn586dI6Ojo1ScsbExcv78eXLt2jXqYRSDg4Pk888/JyEhIdTDKHp6esjHH39MYmNjqe1G4qMWho96nQEBP9h0MQDhilBHRwdHjhzBw4cPWZV3GM6SJUvg6emJ1NRUFBYWUnHMzc2xd+9exMfHsyrvMBxm1xMeHs5aY2I469atg5OTE4KCgqhqTIzqyooVKxAQEMAqccdw9u3bBx0dHdy4cYO1o5FJfXp5eUFBQYFKS5aZ7ejr64vp6WlWiTvmc8nLy+PYsWPo7e1FVFSUyHoR852pqKjAz88PdXV1rMo7DEdLS0uoP5uWlsb6uwCztVNGf5ZNeYfhmJqaCvVn2ZR3GI61tbVQFo9NeYfhODs7C2XxaOrgwOwAbxsbG6ruWebvs3v3bhgbG+PGjRusXddMSvLQoUNQV1dHQEAAa22Sw+EIpfT4fD6Cg4NZO2E5HI7wHO3IyAjCw8NF1iaZ319JSQl+fn5oa2tDXFwcld2oq6vj2LFjePbsGas6mMRHLWwfRYMfdJCdCwMDA/j4+ODevXvUIgLLly/HwYMHkZiYSK3vycwsjYqKoi6wu7i4YN26dQgJCaHS92QOdltZWSEwMJBK35M52G1kZETl/ICvD3arqalROT9gts5y+PBhcLlcBAUFUR0fYQS7h4aGEBERQXWAXElJCceOHUNLSwur82OgoaGBY8eOoby8HHfu3KHi6OjowNfXF3l5edQiAsbGxvD09ERKSgqr82NgYWGBPXv2IC4ujqoJCJhtHHF3d6dyfgxcXV3h6OiI4OBgKsEKRnyC1vkBX4tPaGtr48aNG1RHlfh8Pry9vSEnJ0ft/BhZPGYSC43IhYKCAo4dO4bu7m7WBRoDVVVV+Pn5oba2FomJiVR2s2jRIhw9ehSPHz9GRkYG6/WAxEctZB8lCgsqyGZmZmLPnj3Q1dUFh8NBbGzsC9eUl5dj7969UFFRgYKCAhwdHanOR9Jg6dKlQn1PWgUVS0tLob4nrYKKo6MjNm7ciLCwMDQ0NFBx3Nzc4ODggKCgIKpJJ8yUi2XLliEgIIDqvB0jvr1o0SIEBASI5fxkZWWp9YQZ5zc5OSm28+vs7ER0dDSV81NTU4Ofnx+qq6upBdgXL16Mo0ePorCwkHrSiaGhIby9vZGRkUEtwL5ixQocOHBALOfHjEWLjIxETU0NFWfNmjVYs2YNQkJCqM52cjgcbN68GStXrkRAQAC1Ws+ePXtgaGiIGzduUCmr8Xg8eHp6QkVFBQEBAVTKUIzzA0A9jUlOTg5Hjx4Va4GmrKwMPz8/NDc3Iz4+nnqBdvToUZSWllIPidDV1YWvry9ycnKoh0RIfNTC9VGv/MyvzfwGMDIyAhsbG5w5c+alP6+pqcG6detgZmaGjIwMFBcX489//jOVmgwtVqxYgf379+PmzZtUY56A2c5BRoCdVuJu7dq1cHFxQXBwMJWYOjOGzMLCAgEBAVRi6hwOB3v37oW+vr7Yzk9JSYlaFo9J6RJCEBwcTHXgnEnpDgwMUI+iY1K6jY2N1KPoNDU1cezYMZSUlCA1NZWKo6enh8OHDyM7Oxs5OTms1wOz3c0eHh5ITk6mOqICzI4h27VrF2JiYqhG0QGzY8g2bNiAsLAw6sXlhg0bYG9vj8DAQLGcn6mpKW7cuEElp8jlcnHw4EFoaWlRi6nz+Xz4+PhAWloagYGBVM6PSemOj48jLCyMyvkpKiri2LFj6OjooB5Fp6amhmPHjqGqqgq3bt2ishttbW0cOXIEjx49QmZmJuv1wGx3s7e3N9LT06lH0Ul81ML1US8FdfX2DQMAiYmJmfeat7c3OXr06Gu/pzhF60ePHlEX8xncu3ePuphPyGyhPSkpibqYTwghMzMzYhXzCSFkampKrIYjQggZHx8nly5domo4YjA8PEy++uorqoYjBn19fdQNRww6OjqoG44YiNNwxKCyspK64YiBOA1HDMRpOGLANBy1trZSXS9uwxEhROyGI0IImZycJNeuXaNuOCKEiNVwxIBpOAoNDWVtOGLANBzFxcVR2w3TcJSamkp1PSGE1NbWklOnTpHc3FxqDtNw9OTJE2qOxEe9eR/V19f3/W18EggESExMxPLly4VqLqtXr35pSpnBvzIgwMHBAZs3b0Z0dDR18dvV1RVOTk7Uq5659azo6Giq1TIz5klHR4dasJwZ8yQvL4/k5GQqDpMumZ6epq4ZMUOye3t7qcdpMfWsuro66mHkTD2rqKiIapwW8HU9KzMzkyptCsyOojt48CBu3bpFVWsEZhuOduzYgdjYWOrRWIyiT1RUFHX9x93dHdbW1tR1w7kNR7GxsdS2xjQcJSYmUn0uJqXL5/ORmppKxZnbcEQ78o9pOGptbaXeATINRxUVFdQ7wLk1d9q6NlNzT01NpZJSBL5uOEpISKD2UxIf9eZ9FO0Aj3mgDsdvGHhuJ9vW1kYAEHl5efLJJ5+Qx48fk9OnTxMOh0MyMjJe+h5/+ctfCIAX/j179ox65dPb20sIIaS5uZlq5SMQCISrt8bGRqpV9szMDOnv7yeEENLQ0EC1yp6amhLuLurr66k44+PjZGRkhAgEAlJfX896PSGzK7+JiQkyPT1NvfodGBggU1NTZHx8nHqn1dfXR2ZmZsjQ0BDp6uqi4vT29gq/b9oVM/P37OrqIkNDQ2Jx2tvbydjYmFiclpYWMjExwXq9QCAQcpqamqjsZq6tNTQ0UGUCpqenhatwWruZnJwkQ0NDQruh4YyOjpKxsTEyMzNDGhoaWK8nhJChoSEyOTlJJicnSXNzMxWnv7+fzMzMkNHRUdLe3k7F6evrIwKBgAwMDJCenh4qDvO36enpod7VM5yOjg4yMjIiFqe1tVXioxagj/re72QBYN++ffjNb34DW1tb/OEPf8Du3btx/vz5l3JeNSBARkYG586dQ3l5OevKjDn8zuFwcO7cOdZ6BofDEarGjI+P49KlS6zddlwuV6hQ1Nvbi2vXrrHWzvh8vlBpprm5GUFBQay7LRkZGcjLy4PD4eDZs2eIiIhgbWtnpmHweDwUFBQgLi6OtUNPWVkZfD4fMjIySEtLw+3bt1nrbaqqquByuVBQUEBsbCzS09NZ621qamrgcDhQUlJCcHAwlXA98/dUUlLC1atXUVBQQG0D8vLyOH/+PJ4+fUrNkZKSwrlz56iO0TCcmZkZnD9/nrXhZK6tDQ8P48qVK6zHIRilKuDrGaZszU1SUlJQVFQEh8NBbW0t1dg7OTk5yMrKgsvlori4GNHR0VQSlFJSUpCSkkJ2djYSExNZd2gqKirgcrmQk5PD7du3kZqaylpvU1VVFdpNREQEMjMzqe1GWVlZKFzPlkFgOIqKirh48SKKioqo7UZWVlbioxaojxIX35kgq6mpCT6fDwsLi3mvm5ubv7IBREZGBsrKyvP+AbNGaWBggPDwcOo5mbq6usJOSBqHAcyebyT/J15/8+ZNqpSOlZUV+vv7cfHiRaSkpFClDx0cHNDU1IRz585ROQxgNkVZUVGBr776isphALNt+kVFRThz5gyVw2A4eXl5OHv2LJXD4HA4WL16NTIzM6kcBjAbOOzt7ZGSkkLlMIBZ27C0tMTNmzepHAYwG5iXLl2KqKgoKocBzJ6lXbRoEYKDgxEREUGVCjQ0NISMjAz8/f2pHAYAmJmZYWxsDJcuXaJyGMBsMwwjEE+zqAFmG69qa2tx9uxZqkUNMNvhXFJSgjNnzlAtahjOo0ePcObMGapFDTBr09nZ2Th79ixVIxmHw4GjoyPS09OpFjXAbOCwtbXF7du3qRY1wOzibMWKFYiLi6Na1AASHwUsXB8lLr4zQVZaWhqOjo4vtKBXVlbCyMhI7PdjJOoqKytx+fJlqjodwykpKcGVK1dYz3ZxOBwhp6CgAFevXmU928Xj8eDs7AyBQICcnBwEBASw1vZkZWWxatUqTE9PIz09HSEhIaxOVllZGVZWVpicnMTt27cRExPD6mQXL14MU1NTjI6OIi4ujkqE3tjYGDo6OhgcHER4eDjS09NZjdjS0hIqKiro7e1FYGAgVe3E3t4esrKy6OjowLVr16jqu6tXrwaPx0NTUxOuXLlC5ZiZv2dNTQ0uXbpE5ZjXrl0LACgrK8Ply5dZz59yOBwhp6ioCFeuXGEN6FwuF2vWrAEhBHl5efD392fdAUhJScHJyQkzMzPIzMyk6tRUUFCAra0tpqamkJKSgoiICFYnq66uDgsLC4yPj+PmzZuIj49ndbL6+vowNDTE8PAwoqKiqM4tL1++HJqamujv70dISAiysrJYOdbW1kIR+uvXr6OgoEDk9QCwatUqSElJobW1FVevXkVZWRkrx8XFBRwOB/X19bh8+TLV4lHioxaujxIHCyrIDg8Po6ioSHgEoq6uDkVFRcKd6u9//3uEhYXh0qVLqK6uxldffYWEhAT8/Oc/F/teOjo6WLp0qTANQiMkbWJigsWLFwsHRNMIkK9cuRLKysrgcrlYvHgxld6lg4MDZGRkhPM1aUToV69eDS6XCy6XK9wJsYF5uLhcLoyNjVm1V4HZgMGo8DDfnygwDzGXywWPx8PSpUtZtVe5XC5cXFzA5XIhJSWFJUuWsH4uZhHGpA5pRlwpKirCxsZGmKZm00QFZjMqK1asENoNzZBsAwMD6Ovrg8vlQl1dnUrsfsWKFVBXVxcKsNMI19vY2EBeXh5cLhc6OjpUAw+cnJzA5/PB5XJhYGBAJULPBAwul4slS5ZQDVefa2tLly6lGq4+19ZMTExY7WaurfH5fBgbG7Ny+Hy+8NmRkZGhWrDLycnBwcFBaGv6+vqsHFVVVaxcuRJcLheKiopUdiPxUQvXR4mDBTUgICMjAxs3bnzh9ePHj8Pf3x8AcPXqVZw+fRrNzc1YsWIF/va3v2Hfvn1U7/+8uHNtbS0IIbh9+zbU1dXh7e3N+gcpKSmBiooKoqKisHTpUipx+EePHkFbWxvBwcFCCTI25ObmQk9PD4GBgdi4cSNcXFxYOffv34eOjg6Cg4Oxd+9e2NjYsHKysrKgpqaGmJgY+Pj4YNmyZSKvJ/8nDC4jI4OUlBT4+fnBwMBAJIcRBp+cnMTDhw/x1ltvsU7UmJycRGFhIbq7u1FZWYkf//jHrJN1RkZGUFFRgZqaGnR0dODHP/4x68Pf09OD1tZWFBYWYmJiAidOnGANGk1NTRgdHUVGRgbk5eXh6+vLGjQqKiogKyuL+Ph46Orq4tChQ6x28/jxY2hpaSEsLAzm5ubYsWMHKycvL09oNy4uLlTi8NnZ2ULO9u3bsWrVKlZOVlYWFi1ahPDwcBw6dOiFMs6rOIqKikhMTMSRI0dY58oSQpCdnQ0Oh4PMzEycOHGCdR7x9PQ0Hj58iKGhIRQXF+PHP/4xa6AZHx9HcXExWlpa0NDQgB//+Mesk3UGBgZQV1eHsrIyDAwM4K233mI9r9/e3o7e3l7k5uaCw+HAz8+PNWhIfNTC8lGSAQEseNmAAKbT7uOPPyYJCQnUgt0dHR3k9OnTJC0tjfW+c8XhT506RfLy8qg5z549IydPniQlJSXUnKKiInLy5ElSXV1NzcnOzibvv/8+tdA7IYTcuXOHfPDBB9RC7wKBgMTGxpJPPvmEqjuPEYcPDg4mZ86coRZ6n5ycJFeuXCGXL1+mOnfJiMOfPXuWBAUFUXXpCgQCMjg4SD799FMSHR1NbTc9PT3kww8/JMnJyVT3IGS20/T9998n9+/fp+bU1taS9957jxQWFlJzSktLycmTJ0lFRQU1Jz8/n7z33ntUHcQMJyMjg5w+fZqqG5ixm8TERPLxxx9TC70LBAISERFBPv/8c+phFNPT0+T69evk/PnzVJ29zACLCxcuEH9/f+rO3pGREfLFF1+QsLAwqmEUEh+1cHyUZECAmGBEpFVVVXHkyBGUlJSw6s8yK8JFixbBx8cH2dnZ1OLbBgYGOHjwIJKTk6nFt5cvX46dO3ciNjaWWnzbxsYG69evR3h4OFX9D5hNAdrZ2SE4OJhV3ozhbN68GSYmJggMDGRtspgrDq+lpUUt2s6c1ZSWlqZS+JkrDj82NkYlwciIw/v6+qK9vZ11QADDUVJSwpEjR1BZWUk9IEBdXR2HDx9Gfn4+9YAAHR0deHl5IS0tjfWcHsMxNjbGvn37cPPmTVb9WYZjYWGBLVu2IDIykrV5jOGsWrUKLi4uCAkJYW3oYThubm6wsLBAUFAQayMYYzfbt2+Hvr4+Vd2Y4ezfvx/KyspUEoxzxeEJIVQSjHMHWPT391NpZDMDLI4ePYrGxkaqAQESH7VwfRQNftBBdi60tbXh5eWFjIwMalGEJUuWYP/+/UhMTKQWRTA3N8e2bdsQHR3NOumEgYODA9auXYuwsDDqw+2urq6wsrJCUFAQlZA2M+XC0NAQgYGBVB2tzJQLVVVVai1ZRhKNw+GwTjphIC0tjcOHD2NwcJBaSIFxZM3Nzbh9+zYVR0VFBUeOHEFZWRm1LJ6WlhYOHz6M3NxcalEEfX19eHh4ICUlhappBpjtAt29ezfi4uJQV1dHxbGysoK7uzsiIiKoumCB2Y7OVatWISQkhFqAw93dHcuXL0dgYCBrsxXwtTCGtrY2goKCqDpaGdlGOTk5hISEUHVCM5q1k5OT1KIdzGKrq6uLarEFzNb2jx49ipqaGty9e5f1emC2e/jw4cN4/PgxtSiCxEctXB8lCpIgOwcmJibCMU+0AuwrV67Epk2bEBERQaXvCcw2mzg5OSEkJIRK3xOY1Z81MzNDUFAQtSPbuXMndHV1ERQURKXvyYhvKygoICQkhErfk3FkMzMziIyMpHJkMjIy8PX1RU9PD7UAu4KCAo4ePYq6ujqkpKSwXg/MNpv4+vqiqKiIWoN48eLF8Pb2RlZWFrUGsaGhoVAZilaAfcWKFdixYweio6OpNYjt7Ozg6uqKsLAwqiNHwGzjiI2NDYKDg6mOgQDA1q1bYWxsjMDAQCrVKkZ/Vl1dnXr1z+Vy4eHhAR6Ph7CwMCpHxqhJjYyMUKsPycnJ4ciRI2htbaUeEqGsrIwjR46gvLycWklIQ0MDhw8fRl5eHvWQCD09PXh4eCA1NZV6SITERy1cH/XKz/zazO8pxEljMBAnjcFAnDQGgHlpDNpJEkyqVUpKilpMXdxUKwCxU60AxEq1MhAn1cpAnFQrAybVmpCQQD3qS5xUK4O5qVaaUV+AeKlW4GtZPD09PWpHNjfVGhISQr36FyfVCkDsVCsAsVKtDMRJtTKYm2qlOdYDzE+10o4jFCfVykDioxauj3oZJEH2JXB1dcXKlSu/F2kMxpGJm2o9cuQImpqaftCp1o0bN76xVKs4q/9du3Zh8eLFYqVaDx06BFlZ2QWZaj1y5Aiqq6vFTrUWFha+kVRrUlIS9ZQkJtUaFRX1jadaJT5qYfqo5/G9DrKvOyCAcWS6urrUf4y5aQzaB39uGoN2NuTcNAZbYwKDualW2tWympqacPVP++Azqdbc3FyqBx/4OtWalpZGLXLOpFrv3LlDPeeRSbXS7n6A2fN2NjY21EL3wNepVto049xUK+1MUcaR8Xg86gd/bqqVdkfPpFrb2tqod/RMqvXZs2fUgxg0NTVx+PBhPHr0iDo1qaenB09PT2RmZlLtsoCvU62pqanUgxiYVOudO3eoFhrA16lWGgENBkyqlXbHJPFRC9tHzQN1H/J3EK8aENDe3k4lJD05OSlsyx8YGCBtbW2snPHxcWFbfnd3N5UA+ejoqLDlvK2tjao9fO5xlqamJioB8rmc+vp6qmMKczm1tbVUxxTmcqqrq6mOxMzlVFZWUovQEzLbek/DEQgEQs709DTV8YGZmRnh9zQxMUHq6upYOVNTU8KjQ8PDw1Ri9+Pj40Kh9t7eXtLZ2cnKGRsbm3dcg+Z4y1xba2lpoRqSMPdv09jYSDUkYS6nrq6OakjC83ZDI1w/l1NVVSWWrb2O3czMzJCqqirWezDHwgiZtYeamhpWzvT0tPB7Gh0dlfioBeijJEd4nsOrBgTIyckhLS0NycnJIgvnUlJSwsPiSkpKiI2Nxb1790SmQBgVFGC2FhQQEIAHDx6IXNHKyckJW85VVVVx+fJlVt3Nuco8SkpKOH/+POuqcS5HWlqaSht4LmdmZgYXLlxg3aHM5TDC9Wwrzbmcrq4u3Lhxg7V2xHAYubrQ0FCRKVcOhyPk8Hg8lJSUICYmRmSdklECAma/s5ycHCQlJYncCfH5fEhJSQGYTWvdunULd+/eFbnrlpGREQpaqKioICwsDNnZ2SJ3T7KysvPs5tq1a3j06BG1ramoqODChQsoKSmhtjU5OTmqgQdzOVwul0obeC5ncnISly5dYk3Vz+X09/fD39+fdTc8125aW1tZU65z7YbL5QqF60U1hTHHwoBZeygoKEB8fLzIOiWPxxMKoUh81ML2UeLgex1kXzUgAJhtOnnw4AEuXLhAVTvhcDiwt7dHRkYGLl++TNXdyePxYG1tjeTkZFy/fp2qTicrK4tly5YhLi4OISEhVCluFRUV6OnpITw8HFFRUVT1Fh0dHSgrKyMgIAA3b96kalIwMTGBQCDAlStXkJqaSpWqtbS0FIqJZ2VlUaXc7Ozs0NzcjHPnzuHhw4dUKbdVq1ahsrISZ8+eRXFxMRXHyckJxcXFOHv2LHVX8KpVq5Cfn49z585RpbU4HA4cHBxw//59XLp0iaq7k8vlwtbWFqmpqbh69SqVoLy0tDQsLCyQmJiIwMBAqk5iBQUFGBsbIzo6GhEREVRpV01NTWhqaiI4OBhxcXFU6TMDAwNIS0vD398ft2/fpuoIXbFiBcbGxnD58mWkp6dT1fasra3R2dmJ8+fPIzc3l8rW7O3tUVdXh3PnzqGwsJDabsrKynD27FnqvgBHR0c8fvwYZ8+epe4KlvioheujxMH3OsiKgpmZGRQVFdHT04Nr165RdRDa2NhAWloa7e3tuHTpEtUD5uDgAA6Hg4aGBly4cIFKGNzJyQkAUFVVRbUqA2YfYgB4+vQpLl68SNWtynAKCgpw+fJl1hoFM7WE/J/cnb+/P+sRDz6fD3t7e8zMzCAtLY2q61BOTg5WVlaYmprCrVu3EBkZSTX2bvny5RgfH0dMTAwSExNZHxZdXV3o6elheHgYoaGhSEtLY3WypqamUFNTQ39/P65fv05V21q5ciXk5OTQ2dmJK1euUDXe2Nvbg8fjoaWlBRcuXKBqvGH+nrW1tbhw4QLV0SDG1srLy3HhwgWqblWGU1RUhIsXL7I6Zg6HI+Tk5eXh6tWrrE1eXC4XDg4OEAgEyMzMxI0bN1g7o6WlpWFjY4Pp6WncuXMHYWFhrAFdSUkJFhYWmJiYQEJCAuLi4lgDupaWFoyNjTE6OoqIiAiqOr+RkRG0tLQwODiIwMBAquEFEh+1cH2UOPjBBlkej4dVq1aBy+VCXl6eVQ8TmN0ZM4LyKioqrNqrwGwjiLm5uVCwm01DE5gtzhsZGQkFu9n0WoHZYyeamprgcrnQ19enEqG3sLCAgoKCUEibTRsYAGxtbSElJQUul4vly5dDQUGBlbNq1SqhepOFhQWVMDjzcHE4HKxcuZJKGNzJyUl4HysrK6rZj05OTkJBeUtLS6rhBYzdyMnJYcWKFaz3kJKSgp2dnVAc3tTUlJUjLy8v/B3U1NSohOvV1dVhamoKLpcLLS0t6OnpsXL09PSgo6MjFHpfvHgxK2fZsmXCOa5GRkbCeaaiYGVlJZwva2JiwqoNDMw6fx6PBy6XCzMzM6p0HWM3XC4XlpaWwrQ9G4dR+7GysqIaXsAMo+DxeFi5ciXV8ALG1qSlpWFubs7Kkfiohe2jaPGDDbLA7G5h586dWLx4MdWqF5h9uPbv3w9ZWVnqow2Ojo7C4xC0B5udnJxw7NgxdHd3486dO6zXczgcuLi4wM/PD9XV1VTnAXk8HtatW4djx46hsLCQVXoNmE0VrV+/Hj4+Prh37x7VeUAVFRVs3LhReByCZjycjo4O3N3dsXXrVsTExFClvpYuXQp3d3esWbMG4eHhVClTCwsLbNq0CVZWVggJCaESX7Czs8P27dthaGiI0NBQqlXvqlWrsGfPHqiqqlIfbXB0dISHhwc4HA5iYmKo7MbR0VF4HCIxMZFK5s/Z2Rl+fn5obm6m6m7lcrlYu3Yt/Pz8UFpaSiW+ICUlBVdXVxw5cgS5ublUHc4KCgpYv349PD09kZqaSpVm1dTUhLu7O3bt2oWEhASqHZaBgQE2btyIjRs3IjIykqrDecWKFXB3d8eqVatYewEYWFtbY8uWLVi+fDlCQ0OpzixLfNTC9VHUoG6R+h7gZZ1hTOfgl19+SSIjI6m6WgUCARkYGCAff/wxuXXrFtX1AoGAdHV1kdOnT5PMzEwqDiGENDc3k1OnTpGCggJqTnV1NTl58iQpLy+n5hQXF4st9J6bm0vef/99aqF3QghJTU0lH374oVhC73FxceTTTz+lFnoXCAQkJCSEnDt3jqqrlRGHv3r1Krl69SpVV6tAICDj4+Pk7NmzJCQkhNpuhoeHyaeffkri4uKoOX19feTDDz8kd+/epbqeEELa29vJ+++/Tx48eEDNqa+vJydPniTFxcXUnPLycrGF3gsKCsipU6eouq4ZTmZmJvnHP/5BLfROCCFJSUnk448/JoODg1QcgUBAIiMjyZdffknVQc0MsLhx4wa5ePEi9TCKyclJcvHiRRIQEEA9jELioxaGj5J0F78GmM5BHx8fVFVVUa2uOBwOlJWV4ePjg4KCAtbzY0wqSlNTE56ensjIyGBttGFSSXp6eti7dy+SkpJYa2wMx8TEBFu2bEF0dDTrDpDhWFlZwcXFBWFhYaw7QIazevVqrFy5EqGhoaw7QIbj7u4OAwMDhIaGUom2M+cBVVRUqHaADOfAgQMghFDtAOeKww8MDFDJ73E4HMjIyMDHxwdNTU1IT08XeT3DUVBQwOHDh/H06VOqHSAjDu/l5YXs7GxW+T3me168eDEOHjyIO3fusO4AGY6RkRF27tyJ+Ph41h0gwzEzM8P69eupdoAMx97eHvb29ggLC2PdATKcdevWwdTUFCEhIazNVgxn27ZtWLRoEUJDQ1l3gIzd7N27FzIyMlTye0x60cPDQ1jTpbEbKSkpeHt7o6Ojg3oHKPFRC9NH0eAHH2QZaGpqwsPDg8q4GDDGlZiYSK0/K45xMRDHuBisXr0alpaWVMbFQFzjYgKgsrIytZSeuAEQgNgBEIAwADY2NlIFQADCAFhSUkKtP6umpgZPT09kZ2dTizwsXrwYBw4coAqADJgAGBcXR60/K04AZODg4EAdABm4urpSB0AG27Ztg5aWFlUABCB2AAS+1kceHx+nCoAA5gVAWo1sJgBWVlZSC4rMDYA0KVBA4qOAheujRGFBBdnMzEzs2bMHurq64HA4iI2NfeW1P/3pT8HhcPDZZ5/92+5vamqKzZs3i21czs7OYhuXhYXFGzEuJSWlNxIA+/v7xQ6ADQ0NYgVAHx+f1w6AtALsrxMAlyxZQr0DZGBubv7aAZC2Bgi82QAoLS39xgIgzQ4QmA2Ahw8fRmVlJbVuMRMA8/PzqVWOmACYnp4udgCk2QEykPioheujXoUFFWRHRkZgY2ODM2fOiLwuJiYGDx48gK6u7r/9Mzg7OwuNi+YsFwBs2rQJ+vr6C864GEm0hRoAaVOgDLS1tYUBkOaYAfB1ABRnB/i6AdDOzk7sHaCJiclrBUDaJpg3GQB9fHzE3gEyAVDcHeCjR4/EDoDf9A7wTQVAiY9auD7qZVhQQXbHjh04deoUDhw48MprWlpa8Mtf/hJBQUFU7fniYq5x0XaBcjgcHDx4EAKBYEEbV35+PhXnTQbAHTt2iB0A3dzcEBERIXYAFHcHKG4A3L59OzQ1NcUKgPv27YO0tDR1FygTAMfGxhZkAPT29n5jO8BvOgBaW1sv+AAo8VELz0c9jwUVZNkgEAhw7Ngx/P73v4elpSXr9a87IIDP58PLywtDQ0PU6T8ZGRkcPnwYbW1t1GPLGOOqrq6mdv6McRUXF1M7f8a48vPzqQX1GePKy8ujrkkwAZB2pQjMHm2xs7MTa8KFm5sbTExMqKepAF8HQFqFHiYAysjIUA+75nK58PT0xMTEBLXzZwJgd3c39dgyJgA2NDRQjy1jAmBZWRl1+k9TUxOHDh3C48ePqRtA9PX1sXfvXjx8+JBaOYcJgOLYGhMAaZ0y8HUApF0AALMpUH19fep6+9wASDvujgmAAKidv8RHLWwfNQ/UfchvGABITEzMvNf+/ve/ky1btghbrY2MjMinn376yvd41YCAgYEBUlpaynpUY67QtEAgIE+fPmVtn5/LmZmZIaWlpWJxJicnSUVFhcjrn+eMjIxQCZDP5fT19ZGmpiaxOB0dHaSjo0Pk9cxxGAbNzc2kt7dXJGdmZmbeUYa6ujrWYxfT09Pzvtfq6up5ot8vw/PC4c+ePWM94vM8p6ysTCy7IYSQp0+fsh7V+FdtbXp6mpSVlYm8/nnO+Pg4qaysFIszODhI6uvrxeJ0d3eT1tZWkdc/bzdtbW2kq6tLJGdmZmYep7GxkfT394vkPG83NTU1rEfDpqam5nEqKytZheuft4Hy8nLWIz7PcyQ+auH5qO/1EZ6CggJ8/vnn8Pf3Z1VKYfCqAQEAMDQ0BH9/f5E7gbkqQxwOBx0dHQgMDBS5opvL4XK5qKmpQWRkpMiD53M5UlJSePz4MRISElhF6BnIy8sjIyMDd+7cEZk6mstRUVFBXFwcMjMzRe445nLU1dURFBQkUk+YOQ4zl3PlyhWROwEulztPnYkRrhclJcjj8ebZgaysLKsI/ctUoy5evChShP55zvj4OK5cuSIyVf08p6+vDzdu3BApCfe8rTU3N7M2nczl8Hg8lJeXIyYmRqQ4xlyOjIwMHjx4gKSkJJG7h7kcRUVF3L59G2lpadS2pqamhvDwcOTk5IhlN9evXxepJ8woLjFQVVXFxYsXRWYrnrcbRUVFnD9/XmSTG5/Pn8eRkpLC+fPn0dzcLJIzF9PT07h8+bJIEfrnORIftXB9lDj4zgTZrKwsdHZ2wtDQEHw+H3w+Hw0NDXj33XexZMmSl3JEDQiwsrJCW1sbzp8/T50KsrW1RW1tLc6fP089xNnOzg5lZWVUU0jmcgoLC1kDwPOfLTc3lzUAMOBwOLC2tkZ6ejprAGDA5/Nhbm6OW7duUXcdysnJCUXo2QIAAzU1NSxatAghISGsAYCBrq4uZGVlcf36ddYAwMDU1BQTExO4fPmyyAAwFxYWFuju7saFCxfw+PFjKo6NjQ0aGxtx/vx56nS1nZ0dKisrWQPA85zi4mLWADAXtra2yM/Px6VLl6hmcnI4HNjY2CArK4s1ADDgcrlYuXIlUlJSWAMAA2lpaSxbtgwJCQmsAYCBkpIS9PX1ERERwRoAGCxatAgqKioIDAxkDQAMjIyMwOFwcPXqVdYAwMDMzAyDg4O4dOkS8vPzqexG4qMWro8SB9+ZIHvs2DEUFxejqKhI+E9XVxe///3vkZycLPb7ycvLY8WKFZicnER0dDQSEhJYHxZ1dXUYGRlhdHQUISEhuHv3LuvDoqenB01NTQwODuL69evIyclh/WympqZQUFBAT0+PcKQUGywtLcHn89HW1oYLFy5QNZHY2NgIhcHPnz9PNVXG1tYWAIQBgOYBYzjFxcVUgvJzOfn5+bh8+TKVaIGtrS0IIcjKyqISlOdyubCxsYFAIEBKSgpV44mMjAwsLS0xNTWF+Ph4xMbGsjpmJSUlmJqaYnx8HBEREbh9+zar3SxatAi6uroYHh5GYGAgMjMzWTlLliyBqqoq+vv7cfXqVaoakpmZGWRkZNDZ2YlLly5RNZFYW1uDy+WiubmZehHA/D2ZAECzCLCzswMAlJWV4cKFC1R1ROY+hYWFuHTpElXDEsPJzc3FtWvXqEQLbGxsQAhBeno6laA8n8+HlZUVpqenkZSURDX0QuKjFraPosWCCrLDw8PCAAoAdXV1KCoqQmNjIzQ0NLBy5cp5/6SkpKCtrU0l0v4y2NnZCZVOHBwcqNIBDIcRfacRBmeuk5WVhbW1Nes9mPFTHA4HSkpKMDc3Z+Uwzp/D4UBdXR0mJiasHGVlZZiYmIDD4UBbW5tKhF5bWxs6OjrgcDgwNDSEtrY2K8fY2BjKysrgcDgwMTGBuro6K8fc3BwyMjLgcDgwNzenEpRnnD8j9E4jKM88XEyQZuZ5snEYu2Gm5dByeDwe7O3tqUoeDIcRfaexNeY6BQUFquZAKSkpWFlZgcPhQEVFhepZYpw/h8MRTqRhg4aGBgwNDcHhcKCnp0c1vEBfXx8aGhrgcDgwNjaGlpYWK2f58uWQl5cHh8PB8uXLoaqqysphBlBwOByhID0b5tqNjY0NlaA8s2gAZlWvaIZeSHzUwvVRtFhQQfbRo0ews7MTGuNvf/tb2NnZ4X//93+/kfstXboUmzZtgr29PSIjI6k64czNzbFt2zaYmpoiIiKCKpVpbW2NXbt2YdGiRYiOjqaeqXrw4EHIyspSC3bb2tri8OHDmJiYoD6sb29vj2PHjqGzsxOZmZlUHEdHR/j5+aGqqopq/BaXy8WaNWtw9OhRFBQUsA5uBmadv5ubG7y8vJCZmUm1glVQUMDGjRuxd+9eJCcnUx3V0NTUxKZNm+Du7o74+HiqnY+hoSHc3d2xevVqREdHU6WkVqxYgS1btsDS0hIRERFUqUwrKyvs2LEDBgYGiIyMpEpl2traYu/evVBRUaE+qmFnZwdPT08AoD6qYWdnhyNHjmBgYAB3795lvR6Y7dL08/NDY2Mj1YhAZnjBsWPHUFJSguLiYlYOIyh/+PBhPHjwANXV1awcWVlZbNiwAQcPHkRaWhrVLltFRQWbNm3C9u3bkZiYSDXzV1tbG5s2bYKbmxtiYmKoTjtIfNTC9VHUoG6R+h7gVQMCpqamyIULF8QSeh8bGyNffPEFiYuLo7q3QCAgQ0ND5OOPPyapqanUnO7ubnL69GmSm5tLdT0hhLS0tJD33ntPLKF3RrBbHKH3kpIS8t5775GWlhZqTm5uLjl9+rRYQu+pqanko48+ohZ6J4SQuLg48sUXX1ALvTNDBS5cuPBCl+erOMxQgRs3blALvU9MTJAzZ86IJfQ+MjJCPv30Uyqhd4bT19dHPvjgA2qhd4FAQDo6Osj7778vltB7Q0OD2ELvFRUV5OTJk2IJvTNDBdg6R+dyMjMzyQcffEA9jIIQQm7dukU++eQTMjIyQsVhhgqcOXOGehgFM1TgypUr1MMoJD5qYfio73V38TcFDocjPHPW0NBAdfCeSat4eXmhpKSEqh7B4XCgqKgIDw8P5OTkUDUlcDgcaGhoYN++fUhJSZnXHf2q64HZJqDt27cjISGBtY41V7Dbzc0N0dHRVIORgdk0m729PcLDw1nrn3MFu01NTREeHk4l2g4AGzduxKJFi6gEGxjOzp07IS0tTbXCZtJx+/fvx/j4OG7fvi3yeobD4/Hg4eGBjo4O3Lt3j4ojLS0NLy8vVFZWUp3x5HA4kJeXh6enJx49eoTS0lIqjqqqKg4ePIiMjAzWs5fM779o0SLs3r0bSUlJrHUs5ns2NDTE5s2bERsbSzW8HZjd1bu4uCAiIgLDw8NUHDs7O6xcuRLh4eGs9c+5QwUMDAyodnMMZ8uWLVBWVqbazTHf2549e0AIoR4tyOVycfDgQQwMDCA1NVXk9QxH4qMWpo+iwQ8+yDJQVVXFgQMHkJ6eTpWaBGZ1bnft2oXExERqIQEjIyO4u7sjJiaGWkjA3Nwcq1evRkREBLWQgIODA8zNzamcEgM3Nzfo6upSpyYBYOvWrVBUVKROTTJOaWZmhsopAbOpnEOHDqG3t5c6Nck4pdraWuTm5lJxZGVl4enpiaKiImqhCyUlJRw6dAj379+nFq3Q1NTEvn37kJycTN0FrKenh61btyI+Pp4qNQnMNqesW7cOUVFR1EIs1tbWsLW1pXJKDJydnbF06VKxnJK7uzs0NDSola44HA527twJPp9PnZpkFk6jo6PUzZE8Hg+enp5oa2ujTk0yC6fy8nKq1CQwW9rw8PDAw4cPqTvOJT5q4fooUZAE2TlYvnw51q5di8jISGp1E1tbW1hZWSEiIoJa3WTNmjUwMjKirpcAs9JrampqYjml3bt3g8vl4ubNm9TGdeDAAQwNDVHXS/h8Pjw9PdHc3IysrCwqjoyMDLy8vFBWVkY9gYRxSg8ePKBW0lFTU8OBAwdw9+5d6qMJOjo62LlzJ27evEktv2dsbIwNGzYgJiaGWn7PwsICjo6OiIiIoJbfc3R0xPLlyxEeHk6twLR+/Xro6OiI5ZS2b98OeXl5xMbGUtvNvn37MDU1hVu3blHdg5GH7O7uppbfk5KSgpeXF2pqapCXl0fFkZOTg6enJx4/fkx9DEZZWRkHDx5EVlYW9fEpLS0t7N27F7dv36aW3zMwMMDWrVsRFxdHLREq8VEL10e9Cq8VZGn/uN9FbNiwgTo1yYBJTcbFxYm1wh4fH6d2SkxqsrOzExkZGVQcxinRpiYBCFOTBQUF1JqgKioqOHjwIO7du0ctC8ekJm/dukV9zk6c1CQDJjUZGRnJmppkYG9vT52aZCBOapLBli1boKKiQt1oMjc1SeuUxE1NAl87pcbGRmrdYsYplZSUUMsWzk1N0uoWq6urC1OTtNKVurq62LFjB1VqkgGTmoyKiqI6nwnMT03SLpycnJywbNkysbIAEh+1cH3Uy/BaQdbV1ZU69fBdw7+SmqyvrxcrNcnoe4qTmvTw8EB2djZ1apKpl4ibmty2bRsSEhLESk26urqKnZq0s7MTOzVpYmIidmpSU1NTbKckJSUltlMSNzXp4eHxWqnJiooKai1VximJm5o8ePCg2KlJpqYrbmoyNjZW7NRkZGQkdWrS3t4eFhYWYqcm9fT0qKfQALNTkl4nNSkQCN5I+UTio755H/U8XivI2tnZYfXq1S+k7YqKirBz587X+iDfBF53QICCgoJwJU+7K1FTU8P+/ftRU1NDncPX1tbGzp07qY4ZMFiyZAk2btwoFsfCwgJOTk7UKzhg9riFmZkZtYMFZp2Svr4+9YMCzDolFRUV6pUiM7qNz+dT70oYpzQxMUGdzmVW2H19fdSOXE5ODl5eXmhtbaVO5yorK+PQoUOor6+nduRMalIcW9PX18fWrVvFsptly5Zh7dq11ClTYFY8wMbGBnV1ddScNWvWYOnSpdQ7UwDYvHkzFi1aRC2Ozwj3y8nJUSlbMRxmdBttOpep6Q4PD1P7GxkZGXh6eqKzs5M6nSvxUQvXR70A6j7k5/C///u/RENDg2RlZZFnz54RT09PwuVyye7du1/3Lf/tEDUgoKamhlUU+vlW+YqKCjI0NCQW5+nTp6zHSJ7nPHnyRKSYOHN0YC4eP34s8jjA89cLBAJSUFAg8jjA8z+bnp4mhYWFYnHGx8dZ2/Sf5wwODrIKkD/P6erqYhWuf57T0tJCJVw/F3V1dazHj57nVFZWsrb8P88pKytjPUbyPKe4uFikcP3L7KaoqEjkkaWX/a0LCwtFHll6ma2JazdTU1OkqKhILM7o6CgpLS195fUv4/T29rIeCXme097ezipc/zynsbGRSrh+LiQ+auH5qDd6hOdvf/sbfvvb32LLli1YuXIlhoaGkJubi4SEhNd9y387RA0IUFdXx6VLl0S2qT+vlKKoqIgLFy6IbKJ5niMlJYWLFy+KTJ89z5mZmRGp78kcHZiL4eFhXL9+/ZWr5+ev53A46OzsRHBw8CvrR89zeDwe6urqEB0d/cqd2vMcGRkZFBUVITEx8ZUr7uc5SkpKSE9Px927d1+Z3n2eo66ujujoaFYR+rnQ1NREQECAyMaGl3EuX74s8rD68xxVVVVcuHBB5Cr9eY6srCwuXrwocqf2sr/p5cuXX7nDf5ndjI+P4+rVq6/c4b9MLaivrw8BAQGvrHG/7HM1NzcjPDz8lTu15zl8Ph/l5eWIj49/ZVngeY6cnBxyc3ORnJz8yqzAy/42SUlJuHfvnlh2ExoayipCPxdaWlq4du2aSEGNl9m0xEctTB8lDl4ryHZ0dODXv/41Tp06BQsLC0hJSeHEiRNwcnJ67Q/yTUDUgABVVVVoaGggJCQEaWlpVLU6XV1d8Pl8ob7nqx6wuTAxMcHY2BiuXLlC3RBiZmaGrq4uXLp06f+z997RcV3Xufh3p1dggBlgBoPee68kwN5JkZRINYsi1Sz5JU5sx88vefmtxHmSZVm2EsVx3CWKvReAFeydIEASBECCJApJ9N47iHZ/f0wuTAhl9oGKh9LstbSWDd5v5s7Mud/eZ5+9v01WHgkPD0dVVZVVMn/SIiIi8ODBA6tk/vn3KSwsxCeffEJO14aHh+PmzZvYtGkTOV0bHh6OK1euYPv27aR0rUgkQmhoKE6fPk2uopTJZPD398eRI0dw6NAh0hmvRqOBm5sb9u7dSxaUd3FxgUajwbZt20gaxIDlrHJ4eBifffYZWVA+KCgIHR0d+OSTT8iVtOHh4aivr8ef/vQn8hlaREQEysvL8ac//Ymc4o2IiEBRURE++eQT8nltREQE8vPzsXHjRnKhW0REBLKzs6ck8ydNkFK8cOHClGT+pInFYgQFBSEzM3NKMn/SFAoFvL29kZ6ePiWZP2l2jrJtjqLatJysr68vLl26hH379iE3NxcHDhzAO++8g48++uhLvbmv2gRt18uXL2P79u1WiZnjOERERIDn+VEyt0bMYrEYoaGhGBoawuHDh3HkyBGrxKxUKkcnxOzduxdnzpyx+rA4OTnB3d0dvb292L59O65evUoSBtfpdOjo6MCmTZtIper+/v5QKBRobm4mP2ChoaEQiUSora3Fn//8Z9IDFhERAcCiX/2nP/2J9IAJmPv37+OTTz4hFUQImPz8fHz22WekSlIBc+3aNWzdupVEzALm/Pnz2LVrl9XiG5FIhLCwMIyMjOD48ePIyMiwSswymQzBwcEYHBzEwYMHkZmZaZWYNRoNfHx80N/fj507d+LChQuk4QWurq7o7u7G5s2bSQOwvb29oVar0draanWsmGBBQUGQSqVoaGjAn//8Z1IQEBYWBgCoqqrCn//8Z1IQIPw2AplTggABU1hYiE8//ZQUBAh8c/PmTWzevJnUpWHnKNvlKKpNy8l+9tlnyMvLw4oVKwBY+urOnz+P//zP/8T3v//9L+3mvmoTFrAgDq9QKKxihIcLsFQsSqVSEuZJkW+KoLyAkUgkZEF5AaNQKMiC8oJgt0ajIQnKSyQShISEgOM4ODk5ISgoyCpGeCA5joPRaCQJygsPJMdx8PT0hNlstopxd3eHo6PjqMi3Xq+3ivH39x8dRBASEgJHR0erGOGB5DjLIAKVSmUV8+Rai42NJQnKC78nQBeUF35PkUhEFpQXMDKZjCQo/yRGrVYjMjLS6vUikWgU4+joiJCQEKsYmUyGoKAgcBwHg8FAEpTXarXw8fEBx3Ewm83w9PS0inF1dYWLiws4zjKIwGg0WsX4+PhArVaD4zgEBgbCycnJKiY4OHjMIALK0As7R9kuR1FtWk725ZdfHve3uLg4ZGVl4dy5c1/4pr4u02q1WLhwIebPn4+TJ0+SIktXV1csXLgQKSkpOHbsGCkt6ePjg0WLFiEyMhKHDx8mpYqCg4OxdOlSeHt7k0ZcAZYoftWqVXByckJmZiYpVRQREYEXXngBYrGY3A4QGRmJV155Bb29vbhy5QoJExUVhfXr16O2tpasihMXF4dXX30VxcXFJAEKjuMwY8YMfOc730Fubi5JgEIikWD27Nmj4gMUAQqlUon58+dj6dKlOHPmDCm95OzsjIULF2LWrFnIzMwk7X49PDywcOFCxMfHk+ejBgQEYPHixQgKCsLhw4dJ6ezQ0FCsWLECJpOJ3EYSERGB5557DiqViiwKEBERgZdffhlDQ0PkPsrIyEi8+uqraG1tJQ0VACzdD+vXr0dZWRlpx8xxHJKSkrBu3Trcvn2bVE0tEomQlpaGF198EdnZ2SQBCplMhrlz52LlypW4cOECKdNi5yjb5iiSkUukiHb58uUv+yW/NJtsQMDIyAi/ZcsWfuvWrWTx7cHBQf6Pf/wjk9B7f38//+tf/5pJ6L2rq4v/1a9+RRJ6FzDNzc38z3/+c/7WrVuk60dGRvjq6mr+vffes1rVK2B4/i+C3SxC7wUFBfz777/PNzY2kjFZWVn8hx9+SKroEzCnT5/mP/74Y763t5eMycjI4H/3u99NWTX5JGZkZITfsWMHv3HjRvKAgOHhYf7TTz9lEnofGBjgf/vb3/KHDx+2er2A6enp4f/jP/6DP3v2LBnT3t7O/+IXv+Czs7PJmIaGBv5nP/sZf+fOHdL1PM/z5eXl/Hvvvcc/fPiQjLl//z7/3nvvWa0GfxJz8+ZN/oMPPuBbWlrImAsXLvAfffSR1QrdJzHHjh3j/+u//mvKyu4nMSMjI/y+ffv4P/3pT+QBAXaOsg2O+qsNCOjq6sKf//xnJCcnY+7cuV/GS35t9qQ4fF1dHalRW0iRrFmzBkVFRaQRXBxnmQu6Zs0a3Lhxg9RDJqRIVq9ejQsXLpDOJQXB7uXLlyMzM9NqtCx8fnd3d8ybNw+HDh0iDUgHLKnWpKQkHDx4kHRWBFiixbCwMBw4cIAs2p6SkgJ3d3ekp6eTBwTMmzcPGo2GpIwkYJYtW4bh4WHSzkz43lavXo22tjaSmMST4vBlZWWkaJnjLHNB16xZg4KCApKYBMdZhgo899xzuHr1KqmPUEjjrly5EqdPnybt6DnOMlRg8eLFOHr0qNUdvfA9e3t7Iy0tDenp6VZ39AImJCQEsbGxOHDggNUd/ZMpdj8/Pxw8eNDqjl7AzJo1C3q9niRCImAWLVoEqVRKUkYS1s2KFSvQ29tLyvzZOcp2OYpiX8jJXrp0Ca+99hrc3NzwL//yL/Dw8PjCYsp/LXNwcMCqVatw9uxZctOxi4sLli5diuPHj5OrHz09PTFnzhxkZGSQZf6CgoKQkJCAAwcOkNVqoqOjERQURCIYwVJTU2EymciatYBFr1SpVDIJaS9fvhyPHz8my/wJBNPY2EiW+ROLxVizZg1KS0vJFZMymQxr167FrVu3yDJ/arUazz77LC5fvkyutHVycsIzzzyDkydPkqsf3dzcsGDBAhw5coQs8+fr64sZM2YgPT2drFYTHh6OyMhIHDhwgKyolZiYCC8vL7I8JGDRVNbpdGSxf8AiCsBxHFlRS1BT6uzsJE1JAv4iQ1lVVUUq6AIsLTBr165FYWEhWeZPqVTiueeeQ3Z2NrnIxs5RtstRUxmzk62vr8eHH36IwMBALF++HENDQ9i7dy9qa2vx7rvvfqGbuXTpElauXAmz2QyO45CRkTH6b4ODg/inf/onREZGQq1Ww2w2Y8OGDWQxboqxRMuCsUTLgqWlpZGjZcFYomXgL+Lb1GhZwLBEy4DlTHPt2rXkaBmwtFatXbsWN27cILeNPBktU9VahGj5xIkTZOk1s9mM+fPnk6JlwViiZcEiIyOZo2WWHb1gLDt6wVh29ACYd/QAxuzoqfKQgjOj7ugBMO/oATDv6AEw7egFY9nRC2bnKNvlqMmMycmuXLkSfn5+uHz5Mv7f//t/aGhowI4dO0ZHUH2Rhl0A6OnpQXR0NH73u9+N+7fe3l7cunUL//qv/4pbt27h4MGDKC4uxqpVq77Qe37ehGiZMlMUGBstU4s5BIKprq4mR8vCQiksLCT3QCoUiq8lWjYYDMzRsoeHB+bMmYNDhw4xR8sHDx78SqPlmTNn2mS0LBBMU1MT045+7dq1Nr2jP3XqFFnq0GQyYeHChTa7o/f29v7advR2jrI9jprImJzssWPHsGbNGrz77rtYt24d1Gr1tN94Ilu2bBnef/99PPfcc+P+zdHREadPn8aLL76I4OBgpKSk4Le//S1yc3OZNE+tmRAt3759mzlazsrK+lqi5WPHjtlktOzv72+Plr+GHf2zzz7LtKN3dnb+2nb0ycnJ09rRHzx4kLyjT05OhoeHh03u6FetWvW17ejtHGWbHPV5Y3KyWVlZo+0LwcHBeO+995jEw79s6+joAMdx0Ol0E/77dAcEmEwmLFq0iEn5w9fXF7NmzSJPEgEs5ezx8fHkyAqwRMshISFM7zNnzhx4eXkxfZ4lS5ZAr9eTCVaIllUqFflBEQiG4zjyzlRwZv39/WRSVigUWLNmDbq6usgPihAts3xnBoMBy5YtY8J4eHhg3rx5TL9nYGAgUlJSmDDR0dGIjIxkwsycORP+/v5Mn2f+/Plwc3MjP2uAZUfv4OBA3i0I6WmZTEbemQo7+qGhIfLOVNjR9/b2kp25sKPv7OwkrzVhR0/dmQN2jgJsl6PGGbkO+Qnr7u7mN27cyKempvIikYhPTk7mf/Ob3/Bnz57lRSLRdF5ynAHg09PTJ/33vr4+Pi4ujn/llVcmvWaqAQHt7e18YWEh0z3V19dbFRP/vFVUVFgVE/+8lZaWWhUT/7zdu3fPqpj4562goIDUqvCk5ebmWhUT/7xdv36d1BbzpGVnZ5PaGwQbHh7mr127RmpVEGxgYIC/fv06E6a7u5vPz88nX8/zPN/c3ExqO3jSampq+LKyMibMo0ePSC0uT1pRUZHVgQeftzt37jC1MPC8RRze2sCDz9uNGzf4x48fM2FycnKmHHjweRsZGeGvXbtGasESbGhoiM/OzmZaN319fXxubi75ep7n7RzF2x5HfW0tPGq1Gm+++SauXLmCe/fuYfbs2fjggw+wcOHC6Xl6RhscHMSLL74Inufxhz/8YdLrphoQ4OjoiAsXLuD8+fPkiNPFxQXp6enIzs4mY4xGI7Zv306exwhYUi4bN24kn4cBFp3TTz/9lGnsk0qlwieffMI0wkksFuPTTz8lj/4CLL/Xpk2bmHY3nZ2d2L59O1PEWV9fj71795LTR1KpFCUlJeTme8Cy9nNycnDq1Cny7sbZ2RmZmZm4fPkyed24urpi7969TE3xRqMRmzdvxt27d8kYYeABS0ZKq9Xik08+YRoXJpPJ8Omnn5LPXgGA53ls3LiRaXfT29uLrVu3Mu2KW1pasGvXLnKKWywWo6KiAgcPHiTvihUKBQoKCnD8+HFyqtLOUbbNUVT7wn2ywcHB+NWvfoXq6mocPHhwVGrxqzLBwVZUVOD06dNjRP8/b1MNCAAshTSXLl0iE7NIJEJAQABOnjyJI0eOkIhZLpfD09MTGRkZOH36NImYHRwcoNfrsXv3bly5coX0sJhMJkgkEmzbto1MzIJm7aZNm8hnO4GBgWhtbWUi5uDgYNTV1TERc3BwMMrLy6ecKjMRpqioaMqpMp+3oKAg5OfnMxFzUFAQrl27ht27d5OIWZDeO3fuHNLT00nELJFI4Ovri6NHj5KJWaVSwWQyYf/+/WRi1uv1UKvV2LFjB5mYPT09MTIygs2bN5PPnwMCAtDZ2YmNGzdOOVXmSQsODkZjYyM++eQTknqXgKmqqmIi5uDgYDx48GDKqTITYQoLC7F582YyMQcHB+PGjRvYsWMHOc1t5yjb5SiqMTnZn/70p5N+OWKxGM8++ywOHz78pdzYRCY42NLSUpw5c4akTTuVBQcHAwATMQuYvLw8bN26lTQhRsBkZWWRiVnAnD17lkTMHMchODgYIyMjo8Rs7WGRSCQICAjA4OAg9u3bRxKHV6lU8PLyQn9/P3bs2IGcnByrGL1eD4PBMCooTyFmDw8PqFQqtLW14dNPPyURs7+/P8RiMRoaGsjELHzPAjFTxOEF3d3S0lLyhBgBc+fOHTIxC/fGQswCRhjgQSHm4OBg8Dw/SszWHLpIJEJQUBCGh4eRnp5OImaZTAY/Pz8MDAxg165dJGJ2cHCAm5vb6O6UQswmkwmOjo7o7OwkE7OPjw9kMhmam5vx6aefkqpcAwMDwXEcamtrycQs/DZlZWXkCTF2jrJdjqIak5Otrq7GsmXL4OHhgb/5m79BZmYmOTVHse7ubuTn5yM/Px+AZTHm5+ejsrISg4ODeP7553Hz5k3s2LEDw8PDqK+vR319/bTvQSByjuMQEBBAEuz29/cfbVcKCQmBUqm0ihEWoyB2TRGHDw4OHqNAQhGHFzAcx5HEt5/ESKXSMcLiFIxCoUBoaCjT+2i1WgQGBlq9XiByjuPg7OwMHx8fqxiByDmOg8lkIg0VcHBwGO3L9vLygsFgsIoxGo2jgwj8/PxIQwV8fHxGBxEEBQVBo9FYxQhELgjKU9bNk8L7ERERJHF4QUwdsKw1ylAB4fcUi8WIiopiWgNyuXxU9J2KUalUpKECwvcrKFhRhgpIJJLR79rFxYU0VEAgckGJyGQyWcUIRM5xHLy9veHs7GwVY+co2+UoqjE52c8++wz19fXYtWsXtFotfvSjH8FgMGDt2rXYunUrUwXaRHbz5k3ExsYiNjYWAPDjH/8YsbGx+OlPf4qamhocPnwY1dXViImJgZub2+h/WVlZ03o/kUiE2bNn49lnn0VOTg6puk8mk2HBggVYvHgxrly5Qjoz1Gq1WLJkCVJTU3H+/HlSUGA0GrF48WLExsbizJkzpBSOj48Pli5disDAQHLvZWBgIJ555hkYjUacP3+evBjXrl0LtVpNFt8OCQnBd77zHQwPD5P77sLCwrB+/Xq0tbWRI0tB5LuiooIkCwcA8fHxeOWVV3D37l2yLNzMmTPx/PPPIzc3l5RiFIvFmDt3LlasWIFr166RKiKVSiUWL16MuXPn4uLFi6TqRmdnZyxZsgRJSUk4d+4cKV3o7u6OJUuWICIigjSyDAD8/PywfPlyeHl5kUXbg4KCsHr1ajg5OZFbXEJCQvDiiy9CIpGQn/PQ0FCsW7dutLeeYuHh4Vi/fj3q6+vJ81FjYmLw6quvorS0lHzOmJycjJdeegm3b98mtcXYOcq2OYpk9Pqrie3evXv8L3/5S37mzJm8XC7nZ82axX/00Ud8dXX1F33pL90mqwwbGRnhd+/ezX/22WfkisGRkRH+s88+43fv3k3GDA4O8r/73e/4I0eOkO+5r6+P//jjj/lz586RMZ2dnfyHH37I5+TkkDHNzc38+++/z1TNWFVVxb/77rv8o0ePyJiSkhL+vffe4+vq6siYvLw8/oMPPuDb2trImMuXL/MfffQRU0XriRMn+P/6r/9iqmg9ePAgWeid5y3rZtu2bfy2bdvI62Z4eJj/05/+xB88eJB8X48fP+b/67/+iz9x4gQZ09PTw3/00Uf8lStXyJi2tjb+gw8+4PPy8siYuro6/r333uOLi4vJmLKyMv7dd99lqoItLCzk33//fb6pqYmMycnJ4T/88EO+s7OTjDl37hz/8ccfM1W0HjlyhP/d735HroS2c5RtcNRfZUBAaGgo/vEf/xFXr15FZWUlXnvtNVy+fBm7du364hHA12SCYHdTUxNycnLImNWrV+PBgwdkvVKJRIJnn30WeXl55AN5hUKBVatW4cqVK+RCDq1Wi2XLluHMmTPk7IJer8f8+fNx/Phx0hkOYEllzZw5E4cPHyan7AMDAxEVFYVDhw6Rqyyjo6Ph7e3NpIozc+ZM6HQ6HD9+nHQ9YOnxFIlE5J0ZYJml3NXVRVZgEnr1qqurybsskUiEZ599Fnfv3iWN/AMsu5nVq1cjJyeHLNaiUqmwYsUKnD9/nlxsptPpsGjRIpw4cYKpD3327Nk4cuQIuQDIx8cHCQkJyMjIIFf0hoeHIygoCIcOHSJXgicmJsJkMjGJVsyePRtKpZKsqQxYRFUGBgbICkx2jrJtjprKpu1kBwcHUVVVheLi4tEvydXVFW+99RYOHTqEn/zkJ1/45r5O02g0WL58Oc6ePUuuMBRmhB4/fpzcEG02m5GamorDhw+Tm5v9/f0RExODjIwMcqtJZGQk/Pz8mBxTcnIy9Ho9kzTg3LlzIZVKcfr0adL1gKWJvKenB5cvXyZdL6g21dXVkVVxBMdUVFRErkqUSqVYvXo1bty4QU7/KZVKrFy5EhcvXiSr4jg6OmLJkiU4deoUuQra1dUVc+bMwdGjR8ltTd7e3khKSsKhQ4fIjik0NBRhYWHIyMggO6b4+Hi4u7vjyJEj5HWTlpYGrVbL5JgWLlyIkZERnD9/noxZvnw50yxaQbWprKyMfEQhFH3evn2brNwll8uxevVqXLt2jXREAdg5CrBdjprKmJxsV1cX/vCHP2DOnDlwcHCAj48PQkND4eLiAm9vb7z99tu4cePGF76pv5aFh4cjMDCQKfJNSkqC0Whk+tFnz54NhUJBlmsDgMWLF+Px48fksyzBMTU2NpLPF0QiEVavXo3S0lJyr6VEIsHq1atx69YtsvaoEPlevnyZVM0LWAqUli5ditOnT5OVZAwGA+bPn49jx46RI19PT0/MmDGDKfINCgpCZGQkMjIyyJFvTEwMvLy8mBxTamoqHB0dyZq1gEVTGQDz7ryzs5Npd75q1SpUVlaS9ZHFYjFWr16NwsJCcq+lsDvPzs4e0/M+lanVaqxYsQLnzp0j786dnJywaNEiZGZmMu3OZ82ahSNHjpD7bX19fREXF8fkmOwcZbscNZmRnezHH38MHx8fbNq0CQsXLkRGRgby8/NRUlKCa9eu4d/+7d8wNDSExYsXY+nSpV94csFfw4SUTEtLC3NK5tGjR2RRbCElk5+fTy7OkcvlWLVqFa5evUqePKTRaKaVklmwYAGOHz9O7ht1d3cfTclQI9+AgABER0czOaaoqCj4+voyRb4pKSlwdnZmShvPmzcPYrGYaczV0qVL0dPTQy6yENLGNTU15J5BYXd+7949cnGOsDu/fv06uddUpVLhmWeewcWLF8niEU/uzqnygEajEbNnz8bRo0fJaWNvb28kJiYy7c7DwsIQGhrK5JgSEhJgNpuZ0sazZs2CWq1mThsPDQ2Rd+d2jrJtjprIyE72xo0buHTpEq5fv45//dd/xZIlSxAZGYmAgAAkJSXhzTffxKZNm1BfXz86jeNpNLVajeXLl+PcuXNkMXUnJycsXLgQmZmZ5JSMm5sb0tLSmCJfPz8/xMbGMkW+ERERCAgIYBK4Tk5OhouLC1PkO2fOHMhkMqaUzOLFi9HX18cc+dbX15MzJkLkW1JSwhz55ubmoqysjIRRKBRYuXIlLl26NK3dOTVt7OLignnz5uHYsWPktLGXlxdSUlJw6NAh8u48ODgY4eHhTAQTGxsLDw8PpiBISBuz7s55nicPfAAwqilNrVAWducVFRWjLYXWTNid3759myy48eTunCqCYOco2+WoiYzsZHft2oXw8HCr18nlcvyv//W/8Oabb077pr4sm2pAAM/zk/444eHhSExMHEdIU/2YiYmJiIiIGBclTYWZPXs2/P39mTCLFi2Cu7s7+d6EyFev14+L/KfCrF69GhqNZlzkPxlGiHzlcvm4aybDCCmZiXo5J8NotVqsWLECYrGYjDEYDFiyZMmE/zYZxsPDA/Pnz5/QwUyGCQwMRGpq6oTf82SY6OhoxMbGMq2BGTNmICQkhAkzb948eHt7M63ppUuXwmg0Mq2blStXwsnJaRzBToYRdudKpZK81gTHJJPJyGtN2J1P1Ms5GUan02HZsmUT9g1PhhGE+yf698kwPj4+mD179oTfmZ2jbJejyEauQ34KbaoBASMjI/zFixeZRegvXrzIJAze39/PX716lQnT0dHB37x5k3w9z1uEwe/evcuEKS8v5x8+fMiEKS4uZm7Pun37Nt/Y2MiEyc3N5dvb25kw2dnZfHd3NxPm6tWrfH9/PxPm0qVLzCL0Fy5cYBKhHxwc5C9dusS0bnp6evjs7Gzy9TxvaYsoKChgwlRVVTG13/A8zz948ICvqKhgwty7d4+p1YvnLe1eLS0tTJgbN24wtezwPM9nZWXxvb29TJjLly8zDcqwc5TtcdRfpYWnra0Ne/bswccff4yPP/4Yu3fvZhpx9FXaVAMCOI5DZ2cndu3aRc7Ri0Qi1NXV4cCBA+RUiFwuR1FREY4dO0Y+D3JwcEBWVhbOnTvHJAx+9OhRchUlYIm6d+/ezSQMbjQasWXLFnI6DLCcoXz22WfkM0HAsmPduHEjU9GBXC7HZ599xiSKwvM8Nm/eTE6hAUBfXx+2b99OPkfkOA6tra3Yu3cv+RxRIpGgoqKCqY1ApVIhPz8fJ0+eJK8bZ2dnnDlzhml4gclkwoEDB5iGF7i5uWHbtm1MwwtcXFywadMmpuEFOp0OGzduJFfsApYK8Y0bN5ILowBLanjTpk1MwwsGBwexZcsWchGenaNsm6Oo9oWc7MaNGzFjxgzk5ORgZGQEIyMjyMnJwcyZM7Fx48Yv6x6nbdYGBPj7++Phw4fYtGkT02Dqu3fvYtu2bWSS9ff3R25uLvbs2UM+E/P398fly5fJZ2IikQi+vr44efIkTpw4QVr4crkcZrMZGRkZuHTpEgnj6OgIR0dH7N69m9xO4+bmBo7jmEjW29sbPT09TCTr5+eH1tZWbNy4kXy+5e/vj/r6emzcuJFc5OPv74+KigqmQQR+fn4oLi5mIlk/Pz8UFBRg586dZJL18/NDdnY29u/fTyJZQRry3LlzZJKVSCTw8vLC0aNHcfbsWdK6UalUcHFxwf79+3Ht2jXy8AKFQoGdO3eSz0U9PT0xODiIzZs3k6uW/fz80NHRwUSy/v7+aGpqwsaNG8m9of7+/qipqWEaRGDnKNvlKKp9ISf7q1/9Crm5ufj444/xk5/8BD/5yU/wn//5n7hx4wZ++ctffln3+JWZr68vOI5DQ0MDeQyXoIVaWVlJJlkBU1JSgi1btpAq4gTM7du3sWPHDlLhgZ+fHwAgJycH+/btI+2aBMz58+dx5MgREsn6+fmB53kcO3aMJMPHcRz8/f0xPDyM/fv3IysryypGJpPBy8sLAwMDZJJ1cHCAi4sLent7sWXLFpJwg9FohFqtHiVZSn+sl5cXxGIxmpubySQrfM8sJCusgUePHpHHcAmYe/fukUlWwOTm5mL37t0kkhUwV65cQXp6OolkBcypU6dw4sQJq2tNWDcjIyM4dOgQLl68aHXdiMVi+Pr6YmhoCHv27CEVyCmVSri7u6O/vx/btm0jCTc4OztDp9ONCspTKnDd3d0hl8vR1taGzz77jBQI2jnKdjmKal/IyXIcN2F01dXVRdKX/GubQqGAu7s7OI6Dp6fnlGPzBHNycoKTkxM4joOPjw9JfNtsNkOhUIyKfMtkMqsYHx8fiESi0ckVFPFtf3//0e89NDSUJPT+JCY8PJy0sASMSCRCSEgIWeuW4zjIZDKy+LbwPiqVijQg4EmMo6Mj3N3drV4v7OQEcXhXV1erGKlUCm9vb3AcB7PZDJ1OZxWj1WphNBpHxeEpAwJcXV2h0WhG71GhUFjFeHl5jYrDBwYGktaN8PkFQXnWdRMWFmb1+icxwsADFoxEIhkVsbdmwudRKBSjZEvFaDQaeHl5Wb3+yXXj7OwMNzc3qxghAOA4DkajkTQgwM5Rts1RFPtCTvbf//3fMWfOHKxduxY/+MEP8IMf/ABr1qzB3Llz8R//8R9f1j1+pRYfH4+XX34Z9+7dI58lz5w5E8899xzy8/NJOwWRSIT58+dj6dKluHHjBnnG45IlSzBr1ixcu3aNFL3pdDosXboU8fHxuHr1KinQcXNzw7JlyxASEoKrV6+SFr2Pjw9WrlwJDw8P5OTkkB+UtWvXwsHBAbm5uaR7CwgIwCuvvAKO48j9fUFBQVi/fj26u7vJvdqhoaHYsGED6urqyCIH0dHRWLduHUpLS8ltFElJSXjhhRdw584dUuqP4zjMnj0bK1euxK1bt0gpY4lEgkWLFmH+/PnIyckh7TDVajWWLl2K5ORkcouLwWDAsmXLEBUVRV43np6eWLFiBfz8/JCVlUVaA76+vnj22Wfh4uKC69evk9fNSy+9BIVCgfz8fBImMDAQr776KgYHB8kKYSEhIdiwYQNaWlrIrV7CIIKKigpyvYGdo2yXo0hGLpF6wp6sxBsaGuKzsrL4/fv38/v37+ezsrKYquG+TpuqMiwjI4P/85//TK4AHRkZ4Xfs2MHv2LGDSej9k08+4TMyMsj3PDg4yP/mN7/hT506Rcb09vbyH330EX/16lUypqOjg//ggw+YKk0bGxv59957jy8tLSVjysvL+XfffZevqakhY+7du8e///77TFWjN27c4D/88EOmauMLFy7wH3/8MdOAgGPHjvG///3vmdb83r17+U2bNjEJvW/atInfu3cv+T2Ghob43//+9/yxY8fImMePH/Mff/wxf+HCBTKmu7ub//DDD/kbN26QMS0tLfz777/P37t3j4ypqanh3333Xb68vJyMKS0t5d977z2+oaGBjCkoKOA/+OADpsr2rKws/qOPPmKqNj59+jT/m9/8hqlK3c5Rf32O+tqqi2fNmjUahYnFYsyYMQNr167F2rVrMWPGjAl7GG3dFi1ahLa2NvJBOcdxWL58OcrKysiRr0gkwjPPPIPbt2+TtXElEglWrFiB7OxssjauUqnE0qVLceHCBXJhjoODA+bPn4+TJ0+SRQ5cXFyQmpqKY8eOkatmvb29ERMTg6NHj5IrGUNCQuDv78/UeB4fHw+DwcAkC5eamgqZTMakjTt//nz09vbi2rVrZMzSpUtRX19PLuYRRDiKi4vJFZNisRjPPPMMbt68SS4Ck8lkWL58OS5fvkwuzFGr1Vi0aBHOnDlDLsxxdnbG7NmzkZmZSS7oMpvNSEpKwtGjR8nV1gEBAQgLC2NSbYqMjIS7uzuTOEZycjK0Wi2TdOWcOXMwMjLCJNpj5yjb5aipbFpONjY2FsnJyeMKS/Lz87F8+fIvfFN/DVOpVFi8eDHOnj1L1ivV6XSYO3cuTpw4QVZEMZlMSE5OxtGjR8kl9n5+foiIiGDSuQ0PD4eXlxeOHz9OxiQmJsLR0ZFJTnDWrFngOI5JEWXRokXo6Ogg65VyHIdly5ahqqqKPE1EcEyFhYVkvVKBLHJycsgVowqFAsuWLcPFixfJqTytVosFCxbg9OnT5Epjg8GAtLQ0HD9+nFz96enpibi4OCbHFBwcjKCgICbHFBsbC6PRyCQnOHPmTCgUCibVpnnz5mFgYICsqQxYhN6bmprIE48EYYTS0lLyxCPBMd26dYt83CCVSrF8+XJcuXKF3Dpk5yjb5aipbFpOdtOmTXj99deRlpaGK1euoKSkBC+++CLi4+O/0C720qVLWLlyJcxmMziOQ0ZGxph/53keP/3pT+Hm5galUomFCxd+qRrJ0dHRMJvNTFFsSkoK1Go1UxQ7d+5cDA0NkXVuAYu8V2trK1MUu2LFCpSVlZF1bkUiEVauXIn8/HxyK4NUKsWKFSuQlZVFboFRKpVYsmQJzp07R9a5dXR0xLx583Dy5ElyW4LRaMSMGTOYolgfHx9ER0czRbGhoaHw9fVl3mk7OzszSbylpaVBIpHg4sWLZMzChQvR3d1N1rkFLDvt2tpa8hQaIaC5f/8++XkUdto3btwg97TK5XIsW7YMly5dIvdCazQaLFy4EGfOnCHr3Or1euadtru7OxITE5kCmsDAQISGhjIFNHaOsl2OmsymXfj07rvv4sc//jEWLVqEiIgIdHV14dq1azhy5Mi0b6anpwfR0dH43e9+N+G//+pXv8JvfvMb/PGPf0ROTg7UajWWLFlCjtCsmfCjl5SUkHvsBLLIzc1lTstduXKFXDQjpOXOnj1LTss5OTlhzpw5yMzMJH9Hbm5uzFGsv78/wsPDmdNynp6eyMzMJF0P/CUtxxLFTjct197eTtZHFtJylZWV5B47Yfdz584dctHMk2k5atGMQqH4WtNyx48fJwc0Xl5eiI2NZT46CAgIYApo4uLi4OLiwnR0MHPmzGkdHfT19TEdHSxZsgQNDQ1MRwd2jrJdjprIpuVkGxoa8MMf/hDvv/8+wsLCIJVK8frrryMpKekL3cyyZcvw/vvv47nnnhv3bzzP49e//jX+5V/+BatXr0ZUVBS2bt2K2tracTveL2JCWi4zM5OclvPw8EB8fDxTFBsUFITg4GAmsoiJiYHJZGJKy82YMQMqlWpaaTlqpSlgiWKnk5Z78OABU1pu5cqVyMvLIw8iF6LYq1evMqflzp0795Wn5VJSUpjIwtfXF5GRkUyOKTw8HN7e3sxpOScnJ6ad9qxZsyASiZh32l1dXUw7beHogFpxLuy07969SxY2kUgkeOaZZ3D9+nXyRBlhpz2do4NTp04xHx3YOcr2OGpCI5dIPWFKpZKPiYnhjx49yvM8z2dmZvIODg78r371q+m83IQGgE9PTx/9/w8fPuQB8Hl5eWOumz17Nv+DH/xgwtfo7+/nOzo6Rv+rqqoaUxk2WZXe4OAgf/bsWb6vr2/cv02G6evr48+dOzehNulkmM7OTv7ixYvj/n1kZGRSTGNjI3/t2rVx1YLDw8OTVhBWVlbyt27dIt8Xz1sqMyeq/pwKU1hYOKHO6FSYW7du8VVVVUyY7OzsCStGp8JcvnyZb21tJWNGRkb48+fPT6hpOxlmaGiIP3v27IRVppNhHj9+zJ89e3bCiubJMD09Pfz58+cnrGieDNPa2spfuXJl3BoZGRmZdN3U1tby169fn/A9JsOUlZXxt2/fJt8Xz/N8UVHRhFrIU2EKCgomrDSeCnPjxg2+traWCZOVlcU3NTWRMYLe8ETVyVNhzp07N2ElvJ2jbIujplNdPC0nu2vXrnF/y83N5d3c3Pi//du/nc5LjrPPO9mrV6/yAMY9JC+88AL/4osvTvgaUw0I4HnLA8QqQn/x4kW+p6eHCXPu3DmmthCet5T4s5T3Dw8P86dOnWISoe/v7+fPnTvHJAze1tbGX7t2jXw9z1vImlWE/uHDh8wi9Hfv3mUWoc/Ly+Pr6+uZMDk5ORM67Kns8uXLfFdXFxPm/PnzE5LoVHbmzBlmEXrWdTM4OMifOXOGad10d3czDzxoampiFqGvqKhgFqEvLi5mFqG/ffs2swj9zZs3J3TYU5mdo2yLo762Fp6XX3553N/i4uJGBaNtxaYaEABY0oKbNm0itysAljTS5s2byWlEABgaGsLWrVvJBTuA5XyaKnEHWFKpjY2NOHjwIDkdJJfLUVpaypRGdHR0xLVr13DhwgUyxtXVFceOHWOq1HNzc8PevXvJKUHAUui0bds28pBpwNJOsnnzZnJVKGBJ8X322WfkIgrAcjbKKijPcRyT1jFgGe+4Y8cOcsEOx3Fob2/H3r17ySlriUSCqqoqHD58mJyyVqvVuH37Nk6fPk1eN3q9HmfPnmWqJnZzc0N6ejry8vLIGJPJhJ07d5KLbwDLGfTWrVvJbS6A5Uhh06ZN5Mp1wM5RtsxRVPvCU3ieNB8fH6YcOYuZTCYAGNeH1dDQMPpvnzdrAwK8vb3R0dExOmyeYt7e3mhqasKmTZvIFY7e3t6oqalhmvbi5eWFhw8fYvv27eQzPm9vb9y9exe7d+9m6gm7efMmWX9WkAW8ePEiWeRbLBbDw8MDmZmZZJFvpVIJg8GAgwcPkqsVnZ2doVAosGvXLnIBktlsxtDQELZt20Y+r/Py8hrVrKVWxnp7e6O1tRWfffYZ+WzY29sb9fX12LRpE7nC0dvbGxUVFdiyZQvTUPfi4mKmQQReXl7Iz88nDyIQMEJxJMU5C2vtzJkzJP1ZwHIGbzKZcPjwYXIBksAN+/btIxcgubq6guM4bN++nVyA5OHhgb6+PmzZsoVcGWvnKNvlKKp9qU4WsFSLfRXm6+sLk8k0pgy9s7MTOTk5mDFjxrReU6fTwcHBAT09Pdi8eTOpmMbNzQ1SqRTt7e3YtGkTqfla0EJtbGzEpk2bSEUR3t7eAICqqips3ryZ1H4gvM+DBw/IC1/A3LlzhzyKTcBcv34dhw4dIhGmgDl//jxOnTpFWsQC5tixY6RWAo7j4OXlhZGREezfv580ik0ikcDd3R2Dg4PYtWsXaTejVqthMBjQ19eHrVu3kqqDDQYDlEolurq6sGnTJlIxjbu7O0QiEVpaWvDZZ5+RqjyF76yuro48VEBYa2VlZdi2bRvJOQuY+/fvY9euXaTdjIDJy8vDgQMHSIQpfJ6rV6+SC3AEzKlTp8ij2Ly9vcHzPA4dOkQqwhKJRPDy8sLw8DD27NlDaneSy+Vwc3PD48ePsX37dlK7k52jbJujKPalO9kvYt3d3cjPzx+NJsvKypCfn4/KykpwHIcf/ehHeP/993H48GHcuXMHGzZsgNlsxrPPPjvt9/T29oZIJILRaCQJvYtEInh6ekIkEsHd3R1qtdoqRqFQwGg0QiQSwdvbmyS+7eTkBI1GA5FIBD8/P1L/sdlshkQigUgkQmBgIEl708vLa1S0PSgoiExIghZocHAwaQELGOF9WDASiQS+vr5M96ZUKuHp6cmEEUT8Kebl5QWRSAS9Xk8Seheia5FIBDc3N2i1WqsYqVQ66mg9PT1JAwK0Wi2cnZ1Hx4pRRNtdXV0hl8shEong7+9P0nn18PAY/T0DAwPJ37OwJlnXjYChOGYBIxKJEBAQQHbMIpEIcrl81OFSMWq1Gmaz2er1T2KcnJzg4uJCwtg5ynY5imJf2MmWlJSQ00XW7ObNm4iNjUVsbCwA4Mc//jFiY2Px05/+FADwj//4j/j7v/97vPPOO0hMTER3dzdOnDhBIp/JLCwsDOvXr0dVVRW57D4mJgbf+c53UFJSQk7JpaSk4LnnnsPdu3fJKY958+ZhyZIlKCgoIC1GiUSCZcuWIS0tDbdu3SIterVajWeeeQZxcXHIzc2FVCq1ijEYDFixYgVCQ0ORm5tLeh93d3esXr0anp6eKCgoIGG8vLzwwgsvwMnJCXfv3iV9Bz4+Pli3bh0kEglKS0tJGD8/P2zYsAF9fX3ks9ng4GBs2LABjY2N5PRvREQE1q1bh7KyMnJKLj4+Hi+88AKKiorIZ19paWmj0ngUQhKJRFi8eDHmz5+PvLw8kpOVy+VYsWIFUlJScOvWLZIzd3R0xDPPPIOoqCjk5uaSMCaTCStXroS/vz/y8vJIGC8vL6xZswZGoxF37twhfR5vb2985zvfgUqlQlFREXl4wfr16zEyMkLudQ4MDMRrr72G9vZ2cmuQnaNsl6NIRi6RmqxySiRirgL9a9lUlWHHjh3j//CHPzBVvu3bt4/fsmULk9D75s2b+f3795PfY3h4mP/973/PZ2ZmkjEDAwP8xx9/zF+6dImM6enp4T/88EM+NzeXjGltbeV/9rOf8UVFRWRMbW0t/+67707YtjOZPXjwgH/vvfeYKjMFofeJWnAms6ysLP7f//3f+f7+fjLm9OnT/H//938zDQjIyMjgP/30U6aKyR07dkxY1T+ZjYyM8J988gl/6NAhMmZoaIj/zW9+w589e5aM6evr4z/66CM+OzubjOns7OR//vOf83fu3CFjmpqa+Pfee49/9OgRGVNZWcm/++67fF1dHRlz//59/v333+fb2trImJs3b/K//OUvmSp6L168yP/nf/4nUyW4naP++hz1tVUXf85Jf3FPbwM2b948dHZ2khuVAYsyUFVVFblRmeM4LF26FHfv3iUXPohEIixbtgw3btwg75ikUikWL16My5cvkysMVSoV5s6di7Nnz5KLGJycnDBz5kycPHmSnM1wc3NDbGwsMjMzyWvH398fQUFBTA3ukZGRMBqNTFJySUlJUCgUTBqns2bNwuPHj5nEFBYsWIDGxkaybCFgUQYqLS0lV04Lay0/P5+8YxKLxViyZAmysrLIOyaFQoEFCxbg/Pnz5CporVaL2bNn49SpU+TducFgQFJSEmnYu2Cenp6IiIggF78AlgyFl5cXkwhHbGwsHB0dmdShZsyYAY7jmApF7Rxluxw1ldnUmexf05RKJebPn49z586Ry9gdHR2RlpaGU6dOkSvljEYjEhISmMjCx8cHISEhTGQRFhYGs9nMJEGYmJgItVrNpNiTlpaG4eFhZGdnkzHz589Ha2sruZITsKi1lJWVkafQCGRx+/ZtspScWCzG0qVLkZ2dTW6ZkMvlWLRoES5dukTWxtVoNJgzZw7OnDlDrubV6/VISUnByZMnye0PHh4eiI6OZlo3QUFB8PPzY5IgjImJgV6vZ2rfS0lJgUQiYdLGnTNnDnp6esjV5oBFUaq2tpY8hUZYN0VFReQUsOBkcnNzyVNoBCdz5coVcuW4naNsm6MmM7uTfcLi4uLg4OCACxcukDEzZ84Ez/NMeqXz5s1DR0cHUy/fokWLUFlZSW4XEMiisLCQfM4okMX169fJEalMJht1MtRzRrVaPRqRUp3MkxEp1cmYzWbExMQwPfj+/v4IDAxk3jW7uLgw7ZqTk5Mhl8uZNJVnz56N/v5+pl6+BQsWoKGhganfeMmSJSgpKSFPLxKmJOXl5ZF7QCUSybR2zfPnz8f58+fJ54wODg6YNWsWk5NxcXFBYmIik5Px8vJCeHg401oLCQmBp6cn067ZzlG2y1GTmd3JPmFPpj2oQgPTjUjnzZvHFJHqdDqkpqbi1KlT5LSHyWRCfHw8MjMzyWTh6+uL4OBgnDx5kmlklZubG1NEmpCQAJVKxRyRDg4OMkWkCxYsQHNzMwoKCsiYxYsX49GjR+SJMoKTKSgoIPfNCqnZ7Oxsci+jXC7HggULcPHiRXJqVqPRYPbs2Thz5gw5NavX65GcnIwTJ04w7ZojIyOZd80+Pj7MqVknJyemXbMw45pF1GLu3Lno7u4mtYEJtmjRItTU1JBFLQQnc+/evWmlZu0cZXscNZHZneznzNvbG2FhYUxkERoaCnd3d6YfMD4+HhqNhikiTU1NxfDwMHNE2tbWxpT2WLRoEcrLy5lTs3fu3CFHpEJqNicnhzzlY7oRKWtq1tnZmTk1azabmVOzgYGB8PPzY9o1R0dHw2AwMO2aU1JSIJVKmXbNc+bMQW9vL3kSEWBJzdbV1THN/F26dCmKi4uZd823bt0iizNIJBIsXrwYV69eJStuCbvmc+fOMe2aWVOzrq6uSExMZHIydo6yXY6a0MglUpMYx3E2W11sbUDAZLqb7e3t/O3btyesyJsM09DQMGkF22SYqqoqvqysjAnz8OHDSTVTJ8MUFRXxjY2NTJg7d+5MqM87MjIyaSVtXl7ehNW8Q0NDk1ZE3rx5c0JB/cHBwQm//5GREf769esT6qxO9lmGhob4nJycCf99Mszjx4/5GzduTHjfk2G6urr4vLw8pnXT3NzM3717lwlTW1vLP3jwYMJ/mwxTXl4+qa7zZJjS0tJJK3Mnw9y7d49vbm5mwhQUFEwqqD/Zurl169aEgvpDQ0NTrpuJtKAnu6/h4WE+JydnwgrgyTCDg4P89evXJ3xGJsP09vbyubm5TGvNzlF/HY762gYEPGm27GStDQi4e/cuX1payvSaubm5TO0nPG9pDZlsAU1mFy5cYGoj4HlLO8lExDOVnThxgqllhectrQSswuBHjx5laj3o6+vjT548ydTm0tzczF+5coV8Pc9PPv1jKisuLubv37/PhCkoKJiUrCaznJwcpvYTnrcMImhpaWHCnDt3jqnVied5/uTJkxMGR1PZ8ePHmYcXHD16lKk9amBggD9+/DjTuuns7GQWoa+rq+NzcnLI1/O8xflMNKFoKrNzlG1x1F+lheef/umfoNfrv+jLfCVmbUCAq6srdu/eTT57AyznVdu2bWMSlHd0dMSWLVuYBOVVKhW2bNnCJCgvkUiwdetWJkH5oaEhJkF5wKLMxSIoLwiDU+XNAEu6rqSkhEnezNnZGVeuXGFKi5pMJhw9epSpLcJkMmHfvn3MgvI7d+4kV6wCls+zZcsWJkF5rVaLzZs3MwnKy+VybNmyhUlQHgC2bdvGJCj/+PFj7Nq1i5xKFYYXUCUYAcv5Y2VlJdNwbq1Wi7y8PJw/f56McXFxwenTp5lat4ThBSytW3aOsl2OotoXdrK/+MUvbNbJWhsQoNfrIZFIsGfPHnJu383NDYODg9i+fTt5cLi7uzt6enqwZcsWcom/u7s72tvbsXnzZnL1pbu7OxobG7FlyxZyO4m7uzuqqqqwfft28iI2m80oLS3Fnj17yIvYbDbj9u3byMjIIC9id3d3ZGdnkwscOI6D2WzGuXPnyL2uUqkULi4uOHLkCLnIxcHBASqVCvv27SO3hri6umJkZITJ0ZrNZvT392Pr1q3kXlez2Yyuri5s3ryZfI5kNpvR0tLC5Gjd3d1RV1fH5GjNZjPKysqwc+dOchGW2WzG/fv3sX//frKjdXd3x61bt3DkyBGy03R3d8fly5fJWsdisRhubm44ceIE+fxRqVTCyckJGRkZ5EI8O0fZNkdR7Ftd+MRxHNzd3UdFviml5zKZDK6urhgYGMCOHTtIi9jBwQFqtRq9vb3YunUraREbjUaIxWJ0dHRgy5YtpEUs6Kc2NTWRF7G7uzsAoLq6mizYLWAePHiA3bt3kxaxgLlz5w7S09NJi1j4PDk5OeQiD+F9zp8/T64KFDBHjx4l92C6u7uD53ns37+fNPFHIOWhoSHs3LmTVOijUqng5OSE/v5+bNu2jVS5bDAYIJPJ0N3djS1btpAcrdlsBsdxaG1txebNm0kVqMJ3VldXh61bt5KKgwRMeXk52dEKmKKiIrKjFTB5eXk4fPgw07q5cuUKzp49S8II6/PUqVNkRyusm4yMDFKhj52jbJujKPatdrKA5UcXi8VwcnIi78gFjKurKzQajdXrhQdFLBbD3d0dcrncKkYsFsNkMkEsFsPb25us8anT6SAWi+Hv70/6LHq9HjKZDGKxGAEBAWTn96SQNnUBC59hOpiAgAAywYrFYojFYvj4+JA+j4BRKBSjJEjFODg4wNXV1er1wF/WjV6vh6OjIwkjvI/JZIJKpbJ6/ZNrzcvLi6TzKpPJ4OLiArFYDF9fX5LWr6OjI1QqFdNaE0hZEIen/J7CWgPo60b4nqeDEYYksKwbqVRKHkYhvI9arYabmxsTxs5RtsdRFJuWk6W2TzwN5u/vj9dffx0dHR3kfsWQkBBs2LABNTU15PL+6OhovPzyy3j48CE57ZWSkoLVq1ejqKiILFY9f/58LF68GIWFhaRJGiKRCCtWrEBqairu3LlDerjkcjlWr16N2NhYMkan02HVqlUICQnB3bt3SfdmMpmwZs0aeHp6oqioiCQO7+7ujpdffhlOTk54+PAhyWF4enpiw4YNkEgkoxOfrJmPjw9ef/119PX1kdNrQUFBeO2119DU1EROy4aHh2PdunWoqKggp1jj4+Px/PPPk0UBAEsP8ooVK3Dv3j3S98xxHJYsWYK5c+eS15pEIsGqVauQlJSEO3fukAZ7aDQarF69GpGRkSgsLCStNRcXFzz77LPw8/PD/fv3SYGG2WzGCy+8AFdXVxQXF5OeNw8PD7z66qtQq9UoKysjrRtvb2+89tprGBkZQW1tLQlj5yjb5SiKTcvJzpo1i9yjZuvm4+MDDw8PJCcn48yZM6QoKSgoCF5eXoiOjiYPkw4LC0NAQAD8/f3JjfQRERGIiIiAwWAgpz4jIyMRHx8PuVxOTmFFRUVh5syZ6OvrIyu8REVFYe7cuWhoaCDponIch6ioKCxYsAAlJSWkFJZEIkFYWBgWLVqEvLw8ksKLRqNBQEAAFixYgGvXrpECQhcXF3h5eWHu3Lm4dOkS6dzH09MTHh4eSE1Nxblz50ik5O/vD09PTyQkJJDXTUhICHx9fREWFkbucQwPD0dwcDA8PT3JPY6RkZGIjo6Gg4MDWeowKioKycnJ4HmerEIVFRWFWbNmob29nVwAFBUVhfnz56OiogIPHz60er1IJEJERAQWLlyIwsJCUuGYQqFAcHAwFi1ahBs3bpBSn05OTvDx8cG8efNw9epVkjNzc3ODp6cnZs2ahfPnz5OKwOwcZbscRbFpOdnY2FgkJyePu/H8/HwsX778S7mxr9vS0tJG59lSbd68eaipqSEXJACWhv379++T9XQ5jsOiRYuQm5tLrhgVi8WYP38+rl69Si4ukMvlmDNnDi5cuEDeMWm1WsyYMQNnz54lR74GgwFxcXE4ffo0uSjF09MTwcHBTAIMwcHBcHNzYxJtj42NhUqlYlIGSklJweDgIJOe7uzZs9Hc3Ew6yxVs/vz5ePToEbloiuM4LFy4EAUFBeSdtkgkwsKFC5GTk0NWBpJKpZg3bx4uX75MLoBSqVRIS0vD+fPnySk5nU6HxMREpnXj5uaGyMhIJoyfnx98fX2ZFKUiIyPh5OTENFgiMTERYrGYSb3MzlG2y1FT2bSc7KZNm/D6668jLS0NV65cQUlJCV588UXEx8d/eTP4vmZTKBSYNWsWLly4QG4xcHBwQHJyMs6ePUs+JHd1dWWKLgFLJMsSXQKWqNTV1ZVJEkyILlkmg7BGl4BFTYgaXQrGGl0KD35+fj5Z41QkEjHtgAHLeSbLDhiwnEux7IABSztPQkIC04Pv7u7OtAMGLGffnp6eTMFJVFQU0w4YAPMOGADzDhiwOJnKykrSDliwhQsX4u7du+SKbmGtUXfAgCVLw7IDBuwcBdg2R01m0y58evfdd/HjH/8YixYtQkREBLq6unDt2jUcOXLkC9/UZDY8PIx//dd/ha+vL5RKJfz9/fGzn/3sSxu393VHlyy9b9OJLhcuXIhbt24xR5dZWVnfiOjyi+yAWaTkvs4dcEtLy9eyA759+/Y3agfM4jBMJhMiIyOZMMIOmCU4eRp2wHaOonPUZDYtJ9vQ0IAf/vCHeP/99xEWFgapVIrXX38dSUlJX+hmrNkvf/lL/OEPf8Bvf/tb3L9/H7/85S/xq1/9Cv/93//9pby+RCIZTWGwRJezZ8+eVnRJPV8Bph9dBgQEfG3RJYte6XSiS5bzFcGEHTBVgF3YlVDPgIEvvgOmzsYUdsBnz54lOxlhB8yybr5pO+DZs2ejo6Pja9kBFxYWfuU7YDtH2S5HTWTTcrK+vr64dOkS9u3bh9zcXBw4cADvvPMOPvrooy90M9YsKysLq1evxooVK+Dj44Pnn38eixcvnvSBe/z4MTo7O8f8Z80iIiLg7OzMFF0mJCTY7PnKggULpnW+Mp3o8qs+X9FoNJgxYwbOnDljszvgr+MMeGhoyCbPgBctWmSTO2ClUom0tDScO3eOaQeclJQ07R0w1aZzBmznKNvlqAmNLMD4hO3atWvc33Jzc3k3Nzf+b//2b6fzkiT7+c9/znt7e49qJefn5/Ourq789u3bJ7zemnbx48ePJ9Qrra2t5ZuamiZ8zYmE6XneooE7kcj5VJhHjx5NquM5Gaa0tHRCkfOpMEVFRZP+22R/v3fv3pTi+Z+3kZER/u7du5Nqf06EGRoa4u/duzepZuxEmP7+fr64uHhCzPDw8ITauF1dXVOKnE90zy0tLZOKnE+2burr6/mGhoZJMRNZdXX1hCLnU2HKy8sn1RqeDPPgwQO+p6eHCVNSUjKpZuxkmPv370+qTzzVuplMn3gizPDwMPNaGxgY4O/fvz/p8ICJML29vZMOYhgaGprwntvb2/nKysoJMQMDAxO+f1NT06Qa1XaOsi2O+qsMCHjSysrK+JCQkC/zJcfY8PAw/0//9E88x3G8RCLhOY7jP/jgg0mvtzaFp6WlhT937hzTPVRWVvLZ2dlMmKKiImZh8Ly8PGZh8GvXrjELg1+4cIFZGPzUqVOTPqyT2bFjxyYl+cns0KFDkz5gE9nIyAifnp7OJCg/ODjIZ2RkMAvKnzhxgllQ/vLly+Tred4iKJ+bm8uEuXPnDvPwguvXrzMPL7h8+TLz8IKzZ88yDy/IzMzku7q6mDBHjhyZlOQns4yMDKbhBcPDw3x6ejrz0IsjR44wrRs7R9kWR32lAwIoVZ0+Pj6jVV/U4dUstnfvXuzYsQM7d+7ErVu3sGXLFvz7v/87tmzZMuH11rSLnZyccO3aNaYzIVdXV5w4cYIpT+/q6or09HSms0S9Xo89e/aQzxIBS4prx44dTD3MGo0GW7duJTe5A5bvdevWreS0C2BJ8VAl0QQbGBggS6IJ79HR0YGDBw+Sz5EkEglqampw7NgxclpQo9Hg9u3bTMVRBoMB58+fZzpLdHV1xZEjR3Dnzh0yxsXFBfv378eDBw/IGL1ej127djE9s46Ojti2bRv53BqwFC5t3bqVnBoGLL/Ptm3byOePgKVAkkUfGQB6e3uxb98+8jGESCRCc3MzDh06RF43CoUCDx48YBp6Yeco2+YoipGdbGJiIr73ve9NOcS5o6MD+/fvR0REBA4cOPCl3OCT9n/+z//B//2//xcvv/wyIiMjsX79evzDP/wDfvGLX0zr9TiOg9FoxNmzZ8nkJ5fLodPpcPjwYfJwap1OB6lUiv3795MLKYxG46jOLZX8TCbTqM4tVRzeaDSiu7ubifyMRiNaW1uZyM9oNKKuro6J/IxGI8rKyrB3714y+RmNRty7d4+sWStgcnNzyeQnrJtLly6Rz1MlEgkMBgMyMzPJ5KfRaKBWq5nIz2AwgOd5JvIzGo0YGBjA9u3byeRnNBrR29uLbdu2kYt2jEYjOjo6mMjPZDKhsbGRifxMJhOqqqqYAjSj0YjS0lKmAM3V1RW3b99mCtBMJhOys7PJRTt2jrJtjqIY2cneu3cParUaixYtgslkwooVK/D222/j7//+7/Hqq68iLi4Orq6u+Oyzz/CrX/0KP/jBD760mxSst7d3nEyeWCz+QkLOgu5sZmYm+YDfaDQCANLT00nSdRzHwdXVFcPDw9i9ezeJ/GQyGZycnEbJj1JM4ujoCJlMNiryTSE/4fN3dHRg27ZtJPITPj8L+QmYqqoq8mQMAcNCfgKmoKAAx48fJ5GfgGEhPwFz5syZKQPPiTBHjhwhk5/RaBwdREAhP7FYDBcXFybyU6vV0Gg0TOSn1+shFovR1dWFrVu3kooKhbXGQn7Cd1ZXV4ddu3aRyE/AlJWVkXenAoYlQBMwubm55MI64Tu4ePEiOUCzc5TtchTFyE5Wr9fj448/Rl1dHX77298iMDAQzc3No31U69atQ25uLq5du/aVqT6tXLkSP//5z3Hs2DGUl5cjPT0dH3/8MZ577rlpv6bRaIREIoFarYarqyv54ZJIJHBycoJOp2N6H5PJBLVazYTx8PAg6a8KUa9EIoGPjw9JF1Umk8HZ2RkSiQT+/v6kz+/o6AiFQgGxWIygoCASibm6ukIsFo8KdlNaCYTPAliqd1kxgYGBZGcukUhGhc6pzlwikUChUJCF3gWMg4MDDAaD1esBy/cm7II/f9xh7X3MZjNJH/hJDFXoXXDmEokEvr6+pPcQnLlEIiELvQuj3sRiMfn3FNYagGmtNVYMx3HkoQIChmWogJ2jbJejKMbcwqNUKvH888/j17/+NdLT03HixAls374d//t//29ERER8KTc1mf33f/83nn/+efzt3/4tQkND8ZOf/ATf+9738LOf/Wzar+nl5YU333wTQ0NDaGlpIf3ofn5+ePPNN9He3k5ORYSGho4KdlNTn7GxsXjppZdQVlZGVtKaOXMmVq5ciZKSEpIoNmDp71uwYAGKioqgVCqtXs9xHFatWoUZM2bg/v37pOkwUqkUa9euRUxMDIqLi0nv4+DggDVr1iAoKAilpaVkcfgXX3wR7u7uePToEenBN5lMWL9+PRwdHVFdXU0aKuDu7o433nhjdNgzVRz+zTffRG9vLzntFRQUhNdffx2NjY1kRamIiIjRoQJUS0xMxJo1a/DgwQPSdwZYWoOWLl2K4uJisjNfvnw5Zs+ejaKiItK6EYlEWLNmDRISEsjrU6VSYe3atYiIiEBJSQnp3pydnfH888/D19cXDx48IInDG41GvPLKK3BxcUF5eTnpGTWbzXj99dehVCrJAwLsHGW7HEWxp2rUnVarxa9//WtUVFSgr68PDx8+xPvvv/+FpiWYTCa4ublhxowZuHjxIika9fb2hpubG+Li4nD+/HlSZCWIw4eGhpILZoKCguDv7w8PDw9cvnyZhAkJCUFERAQcHBzIPXGhoaGIj48Hz/O4desWGTNz5ky0t7eTB5eHhoZi9uzZqKioQHl5udXrOY5DaGgo5s6di7t376KxsdEqRiqVIjAwEPPmzcPNmzdJaUytVgsvLy/MmTMHWVlZpNSSi4sLzGYzUlNTcenSJRIpeXh4wM3NDYmJieR14+vrC3d3d0RHR5PXTWBg4GiTP7WXMjg4GCEhITAYDOQ0ZmhoKGJiYiCTycjnhaGhoUhKSkJfXx9ZHCI0NBRpaWloaGggF3SFhoZizpw5KC0tJaXMRSIRgoODMXfuXBQUFJCKbJRKJXx9fTF37lzk5OSQnJmTkxPc3d0xa9YsXLlyhbRbsnOU7XIUxZ4qJ/tVWnJyMnp6epgqOdPS0lBbW0sawC3YnDlzUFxcTJoMAlgczdy5c5GXl4f29nYSRiQSYc6cOcjOziZHsVKpdFSLmpomUSqVSElJIT/4gKXAIjY2FhcuXGASeg8ODmZSePHz84PZbGaqyoyIiIBarUZOTg4Zk5iYiKGhIaZKztTUVLS1tTFVcs6ePRtlZWVMk0Hmzp2LO3fukCuAOY4bDU6oylVisXg0OKHutOVyOVJTU3Hx4kXyjkmj0TAFJ4ClCCwyMpKpCtzLywu+vr5khwFYnIZer2cSFYmNjYVEIiGf5wN2jrJljprK7E72f0yhUGDmzJlMP4aDgwMSEhKYHnxXV1eEh4czPfg+Pj7w9vZmUngJCwuDTqdjkhGLi4sDx3HIzc0lY2bMmIHOzk4mNaFZs2ahurqarCYEWBzG/fv3ydWvgsO4desWOTUrEokwd+5cXLt2jawmJDz4ly9fJhdKqFQqJCUlMT3ETk5OTLtZwJKaDAoKYlo3AQEBMBqNTMFJVFQUlEolc3AyMDCAgoICMiY1NRXNzc1MakKzZ8/Gw4cPUVVVRcYIu1mqmpDgZG7cuEGumhaLxZg9ezauXr1KrmS1c5Rtc9RkZneyT1hSUhL6+/uZH3yWNBYApjSWYHPnzkV+fj65V0x48HNyctDT00PCSCQSpjQWYHnwWdJYgKUoIS4ujsnJGI1GhIaGMu1mhTmcLLuSsLAwpjQWAOY0FgDmNBaAaaWx5syZQ061A38JTnJzc8mD5UUiEWbPno1r166R22xkMhlTqh2wFE6x7mb1ej1zcOLh4QF/f38mhxEUFAQXFxem3Wx0dDTkcjlT77Sdo2yXoyYzu5N9woQ0FsuDr9VqmSPF6aax/Pz8mB58IY3FMhbq605jsQiwC2ksFgH2rzONdfnyZeY01oULF2w21c4SnERGRkKtVjMFJ19nqr28vJypEGw6qfa5c+cyp9pnz549rVS7naNsk6Mmsm+0k53OgAAhjcUysUNIY7GMhRLSWKyR4u3bt5kjxevXr5MdxpNpLGr6U0hjXbp0ifwQC2ksFvIX0lgsD7GQxmLdzep0OiaHERcXB5FIxLSbTUlJQVdXF9NuVkhjsTqM+/fvM+9mb926xbSbFYITqsN4MjihOgwh1X7x4kXmVDvLunF3d0dgYCDTuhFS7SwOQ0i1szgMO0fZLkdNaGQBxqfQrA0IGB4enlAAvaamZkqR84lEqauqqibVzO3r65tQ47SysnJS7dPe3t4JNU4rKiom1T7t7e0d97eRkRFmzNDQ0JT6ohNh+vv7p9SynQjT3d3NNzc3M2Ha29un1CSdCNPc3Dyl/u1EmIaGhgn/zvOW73Sif6utrZ1Ua3lwcHDCNVVdXT2pyHl/f/+Ea6qqqop53VRWVk65Bj7/b9NZN8PDw5OK40+GGRwc5Gtqapgwvb29kw5imAzT2dk56SCGyTCtra2TDmKYDNPY2Dil/u1EmPr6+kkHMdg5yrY46q8+IMDWzNqAgJGREX7Pnj2TktxENjAwwO/bt49JGLy9vZ0/evQokzB4TU0Nf/78efL1PG+ZmnL9+nUmTH5+Pl9YWMiEuXbtGv/w4UMmzPnz56ck04nsxIkTUzrhiezw4cNTEuNEdvDgwUkd6mS2b98+ZkH5PXv2MK2b3t5ePj09nWndNDU18SdPniRfz/OWqT5Xr15lwty9e5fPy8tjwty4cWN0ghbVLl++zFdUVDBhzpw5w9fX1zNhjh07xre1tTFhMjIyJp1QM5nt379/Uoc6kdk5yrY46isdEPA0mrUBARzHobOzExkZGeQUglQqRXV1NU6cOMGUdigoKGBKV+n1ely8eJFpbqher8fx48eZ0o/Ozs5IT09nqqLT6XTYs2cPucQfsJwL7dixg0nkW6lUYvv27eQzLsBSGMEq8i1IybEovPT09ODAgQPk81RBUP7IkSPkdaNUKlFaWso019bJyQnZ2dlMFZt6vR6nT59mKqbR6/U4fPgwU/rR2dkZ+/btY6r0dXR0xK5du8ipbsBSILVjxw6mQQQymQzbt29nGkQAgFnndmBggEmL285Rts1RFPtGO1mK6fV63L17FydPnmQqCrhx4wa5zYHjOOj1ely4cIF8ZieXy6HVanH8+HHcv3+fhNHpdBCLxTh48CC5AtVgMIw6GWp7jMFgwMDAANOCNBgM6O3txfbt28ltDnq9Hu3t7dixYwfZaer1ejQ2NjKJw+v1elRWVjKJw+v1ehQXF+Po0aNMla75+flMg92F/kvq+bBYLIaTkxNOnTpFLvJQq9WQy+U4fPgwuQLV2dkZPM9j37595GHber0eQ0ND2LVrF7mgSK/Xo7+/n8lp6vV6dHV1MTlNg8GAlpYWJqdpMBhQW1vL5DT1ej0ePXrENL3HzlG2y1EUsztZvR4AkJOTQy5YEDDnzp0jV0YKmKNHj5IEuwUMz/M4cOAAqdBFJBLB2dl5dEFSBLuVSiVUKtXogqQIdjs5OYHjOPT09GDHjh2k8nvh87e1tWHHjh2k4hhB37ehoQF79+4lOU0BU1FRQXaaAqaoqIg8VEDA5OXlkSswhe/g8uXL5LYNAXPy5EnyUAHh3jIyMkiVkRzHwWAwYGRkBHv37iUVukilUjg6OmJwcBA7d+4kDRVwcHCAVCpFX18ftm/fTiqqEj5/Z2cnduzYQepfFj5/c3Mzdu3aRcpQCO9TU1OD/fv3k5ymgHn48CF5qICAuXPnDk6dOmX1+icxdo6yPY6i2LfeyRoMBshkMkilUnh4eJAfFJlMBo1GQxbsFjB6vR6Ojo6kexMwZrOZrKMpYLy8vEYFz6kYPz8/0vXCbkkqlSIgIIDk/NRqNZRKJSQSCVnsXxAF5zgOwcHBpB2GXq8f1d4NCQkhE6wgzUkVoRcwYrEYPj4+ZGcuk8mYhgoIGJ1ON0oC1HtzdXWFRqNhwnh4eJD1ZIV78/X1Jek9C7slmUxGHhAgHPlIpVIEBQWRfhth0otYLCavG4PBwDyMQvj808EIQwWogaOdo2yToyj2rXeyJpMJb731FmQyGZqbm8mC3d/97nfx+PFjdHV1kTABAQF444030NLSQv7xIiIi8Oqrr6K6uposvp2QkIC1a9eirKyMTJazZ8/GsmXLUFpaSp6+sWzZstGGda1Wa/V6juOwZs0aJCYmkt9HKpXipZdeQmRkJB4+fEgS+XZwcMBLL70Ef39/8neg1+uxbt260TmkFIF8o9GIN954AxqNBvX19eShAm+99RYAS7RMWTc+Pj5466230NXVRVahCg4OxmuvvYb6+npyejE6Ohovv/wyKioqyAMCUlJSsGrVKjx48ID02wDAggULsGDBApSWlpIDgJUrV2LGjBkoKSkhYUQiEV544QXExMTg4cOHpLWmVCrx0ksvITQ0FGVlZaShAk5OTnj55Zfh6emJiooKkoa6wWDAhg0b4OzsjNraWpKTsXOU7XIUxb71TtbZ2Rmurq5ISUnB1atXSdG1yWSCi4sL4uPjceXKFRKReXp6wmQyITIyknxO4uPjA09PT/j5+ZGVZPz9/REYGAiDwUCWuQsICEBkZCRkMhn5PCYgIAAJCQno6+sjy5UFBARgxowZaGhoIBcxBAQEIDU1FaWlpaTUkrBDSEtLw+3bt0kpSblcDi8vL6SlpeHmzZuk818HBweYTCbMnDkT165dI0XKLi4ucHV1RVJSEq5evUpaN+7u7nB1dUVMTAx53Xh7e8NsNiMkJIS8bvz8/ODj4wN3d3dySjIgIAChoaHQarXkPs+AgADExsZiZGSE3OcZEBCA5ORktLe3kyUVhXVTUVFBPjMOCAhAWloa7t27RzrHE4vF8PX1xaxZs3Dr1i1SSlKtVsPd3R1paWnIyckhZ3TsHGW7HGXNvvVOVrDExET09vYyVb3NmDED9fX1TDJ3qampKCkpITkMwdLS0lBQUEAWBuA4Dmlpabhx4wa5YEgsFo86DGoRh1wuR2JiIvkhBiwVfNHR0UzauK6urggJCWHCCI6GRRggNDQUGo2GSRiA1WEAFvWZtrY2Jg3emTNnory8nOwwAMu6uXv3LpMwQFpaGtlhAJZdY2pqKrKzs8m7H6lUyuQwAIsIBYvDACw7zYiICKZ1Yzab4evryySPGBAQAL1ez6TdHBkZCYlEwiReYuco2+WoqczuZP/H5HI5kpKSmH4MBweHaTmM4OBgpodYcBgsbRmhoaFQq9VM5fWxsbEYGhpidhitra1MrRypqakoLy9nUpL5Ig6DWmEqEokwc+ZMZoeRnJzM7DDi4uKY1pqzszPCw8OZ1pq7uzt8fHyY1lpgYCCzw4iKimJ2GAkJCejp6WF2GLW1tUxqV2lpaSguLmZqAUpLS0N+fj6zw7h+/Tq5WEZwGFlZWUwOw85RtstRk9lT52Rramrw6quvQq/XQ6lUIjIykulHmsqSk5PR0tLCJKSdmpqKsrIysp4uYHmICwsLSVVywF8e4tzcXCaH8XXsMNRqNfMO44s4DJadaVBQEJycnJgcRnR0NCQSCZOebmJiInp6eshtDIBlZ/p1OIxZs2ahoKCA3GvMcRxSU1Nx48YNJocxY8YMph2GQqFg3mFM12EEBQUxOQwfHx+4ubkxOYywsDCo1WqmLEhcXByGhoaY9HTtHGW7HDWZPVVOtq2tDampqZBKpcjMzMS9e/fwH//xH3BycvpSXl+tVo/uMKjm7OyMsLAwJoyHhwe8vb2ZHnzBYbBM7IiKioJIJEJ+fj4Zk5iYiK6uLiYB9hkzZqCmpoZp1mlqaiqKiorI/ZLAX3YYLA5jOjuMGTNmMO0wFAoFEhISmB1GVFQU07oxGo3Tchgmk4nJYYSHh0OpVDIFr3FxcRgYGGByGCkpKdNyGI8ePWJ2GHfu3PnKHcZ0syBXrlxhchh2jrJdjprInion+8tf/hKenp7YtGkTkpKS4Ovri8WLF8Pf33/C66czIGDmzJmorq5mUgpJS0tDUVERk8KMcIZBPY94codBJX+JRIIZM2YgJyeHTP7CDoNl9+fo6IioqCgmjMlkQmBgINMD6evrC6PRyDRLUnAYLOklwWFQewUBi8Nobm5mfogfPXpE6jEVTNhhUM9Mn0ybU8lfcBjXr18nk79MJkNycjLTGlCr1YiNjWXC6PV6hIWFMa0bT09PeHl5Me0yg4ODodPpmDIa0dHREIlETHNLk5KS0NXVxTRU3c5RtstRExpZgNEGLDQ0lP/Rj37EP//887yLiwsfExPD//nPf570emsDAnien1Dn1ppeLitmeHh4nED9yMjIlJjHjx+P0zgdHh62KnL+eY3Tx48fT6nl29XVNU7jtLe3d0qR887OznEap11dXVNqsk50Dx0dHVPq/06EaWtrm1TkfDJMa2vrlDquE2FaWlqm1HGdbA1MBzOZjYyMMGMGBwfH6TCPjIzwLS0tk2L6+vrG/Q6Dg4NTDmLo7u4e9zv09/dPOYihq6tr3PfT09MzpW70RJ+/s7Nz0kEMk2Ha29un1P+dbN2wrrXprJvprrWpzM5RXw1HfeO1ix89eoQ//OEPCAwMxMmTJ/E3f/M3+MEPfoAtW7ZMeP0///M/o6OjY/S/iTRTT58+PS79aK3p//jx4+N6FqfCiEQiHD58eMxOQmjMnwrzeW1ckUg0ZWp8aGhonDauTCabskesu7sbp0+fHvM3QWFlMmtsbByXRtJoNFP2vD169GjcrkAQGZjMCgsLx+0mBVm2yezmzZvjzjmdnJym7GO9cuXKuEpKZ2fnKXsLz507N25GrV6vnxJz4sSJcTvQqdYAx3E4evTouFT3VBhBsu7JnQTHcXB2dp4UAwDp6elj1o1EIplSkKC/v3+cOpZcLp+yj7W1tXWcpKRKpZpSxKC6unrc7kOr1U7Zk1pcXDxOHcvR0XHKntT8/Pxx6lhOTk5TrrXs7OxxhTHW1s3FixfHZS6sYewcZbscRbGnysmOjIwgLi4OH3zwAWJjY/HOO+/g7bffxh//+McJr7c2IACwLIpdu3YxiXwPDQ1h37595JQIYFkoLCLfEokE9fX1yMzMJGM0Gg3u3r3LNP9QmJvKkkrT6XQ4e/YsU1pMp9Ph6NGjTL1njo6OOHDgAFNaTKPRYM+ePcyDCHbu3Mk8iGDnzp1Mgwh4nseePXvImsqAxZmxDCLgOA5tbW1MgwgUCgXKyspw5swZ8n05Ojri1q1bTGe9Op0Oly9fZjp/0+l0OHnyJFO7k06nQ0ZGBtMgAgcHB+zbt495EMHu3buZUrByuRw7d+5kGkRg5yjb5SiKPVVO1s3NDWFhYWP+FhoaynQO9nlzdHREXV0dkzi8o6MjysrKmMThdTod7t27xzRRRafT4ebNm+RzBI7j4OjoiIsXL5LPIBUKBeRyOTIzM8kFKMIOJyMjg9y3qdPpRrVxqWeQOp0Og4OD2LVrF7mdQqfToa+vDzt37iQrJOl0OnR2dmL37t1kItPpdGhqamIiMp1Oh6qqKiZxeJ1Oh9LSUpw8eZJ0vYApKChgGjiu0+mQlZVFPu+WSCTQarU4ffo0uapaq9VCJBLhyJEj5L5NnU4Hnuexf/9+sji8Tqcb1calFjvpdDo8fvwYO3fuJIvD63Q6dHd3Y+fOneTCOp1Oh7a2NqZgy85RtstRFHuqnGxqauq49GFJSQm8vb2n/Zo6nQ6AJcX0+ZSENUx+fj65+k740a9evUouphDe5+TJk+RKOgFz+PBhcnuIQGT79u0jNaBLJBJoNBoMDQ1h9+7d49KmE5lAsMJEFUrhjvBZurq6yEQmYFpaWrBnzx6SAxQwtbW149Km1jCPHj0iDxUQMIWFheRJPALm+vXrZCITMOfPnydX+wqYY8eOkYYKPIk5ePAgqZ+Q47hRItuzZw+JyASCFQYRUIIt4Vnr7e0lB1vCZ+no6CCPPRQwjY2N2L9/P8kBCpjKykryUAE7R9kuR1HsqXKy//AP/4Ds7Gx88MEHePDgAXbu3Ik///nP+P73vz/t13RycoJCoYBIJEJAQACJlAWMIMdHfVAUCgW0Wi2MRiMTxtXVdXRhUjEeHh5kwW7h8/j5+ZH1R4X3CQwMJH0WkUgEnU4HuVyO0NBQUhSvVCpHBbvDwsLIxCcIsIeHh5Mds6BVGx4eTtrNPokJCQkhfR4BI5FI4OfnRyZlhUIBlUoFd3d3pnXj7Ow8OpGGijGbzWRNYQHj7e1N0u19EhMQEEAeKiCsm5CQENJ3JpVK4eDgAJlMRl5rWq0WcrkcYrGYaQ0IZ3xhYWHM64a6pu0cZbscRbGnyskmJiYiPT0du3btQkREBH72s5/h17/+NdatWzft19Tr9Xjrrbfg4OCApqYm0g9oMpnw9ttvQyQSoaOjgyz0/t3vfhe9vb3o7+8nYYKDg/H666+jsbGRdD0AxMTE4OWXX0ZVVRVJ5BywtJ+sXr0ajx49IhPswoULsWDBAjx8+HDCs+6JbNWqVZgxYwYZw3EcXnrpJcTGxqK8vJx0b1KpFK+88grCwsJQWVlJHirwyiuvwNvbG9XV1STRcmdnZ7zxxhtwcXFBfX09qTjC1dUVb7/9NhQKBVpbW0lOxsPDA2+//TaGhobQ09NDWgf+/v5466230NbWRk5lh4eHY/369aipqSEXeiQkJOD5559HRUUFeUCAIPT+8OFDkmg78Beh9wcPHpDXmiD0Tl3TIpEI3/nOdxAZGYny8nLyUIHvfOc7CAwMJD9vjo6OWL9+PcxmM2pqakjBiZ2jbJejKPZUOVkAeOaZZ3Dnzh309/fj/v37ePvtt7/Q62m1WhgMhtEeP0qkrNfr4ezsjPj4eGRnZ5OiJKPRCL1ej8jISPIAbnd391EBAipG6Al0c3Mj93d5e3sjKCgIarWanCby9vZGdHQ0hoaGyMUF3t7eSEhIQEtLC7kv0NvbGykpKSgrKyOfyQmYu3fvkopSRCIRPD09kZKSgry8PFIxk1KphKurK5KTk3H9+nVyWtrZ2RmJiYnkdePi4gJnZ2fExMSQi4zc3NxgMBgQFhZGXjceHh4wm83w8fEhY7y8vODn5wdnZ2eycIW3tzfCw8MhFotRUFBAxsTGxqKnp4dcAOXt7Y2kpCTU1dWRz+SEdVNSUoKWlhar13McN4q5ffs2Kb0ojIVLSUlBbm4uaSdr5yjb5ihr9tQ52a/KYmNj0dvbyyRAkJiYiPr6eqYqxpSUFJSWljIdrKekpODOnTvkggyO40YfYmohj0gkYnqIAcuukeUhBiwVmVFRUeQHErDsGoODg5kwHh4ecHd3Z2okFx5iFg3eqKgojIyMkAeqA5YdYFtbG/nsE7DI6VVWVjJVWqekpODevXtM1a8pKSnIz89nEiBITk7GjRs3yOk1sViMpKQkZgGC2NhYpjXg4ODAFGgAFkfj6+vLhPH19YVer2eqfg0LC4NEIiEHGoCdo2yZo6Yyu5P9H5PL5YiLi2N+iMPDw5kfYj8/PyaMj48PDAYDk8xdaGgoZDIZ00McExOD/v5+JrmypKQkNDQ0MFV4p6Sk4MGDB0xyZSkpKSgsLCQ/xAJmOg8xi9LRdB5ilUr1tQYaLCo3QUFB0Gq1TKpaUVFR4HmeKdCIj49He3s7k6TidAON+/fvkwpfnsQUFBSQq9MFh3Hz5k3mQINl3dg5yrY5ajKzO9knLDk5GVVVVUy6qCkpKSgqKiK3CgiYgoICcq+c8BBPZ7fwVT/EWq0WERERTBhXV1f4+/szkb+3tzdcXFyYdguhoaFQKBRMfZmxsbGjRxFUS0xMRGNjI5PYf0pKCh4+fDitQIOlnzclJQW3bt0iBxrCzpQl0JBIJEhISGAONKKjo5nWjZOTE3Og4e7uDg8PD6a1FhgYCAcHB6ZAIzIyEgCYtJvj4+PR2dnJHGjYOco2OWoyszvZJ0yn0yEkJITpxzCbzfD09GT6MQICAuDo6Mj0EEdERIDjOKaHOC4uDl1dXUwjnpKSklBdXc00t1R4iFkEIKb7EN+8eZNJg1dIS7Jo8E7nIWY5xwIsZ60BAQFMGC8vL7i6uk4r0GDR4I2JicHAwADTGLrExEQ0NzczzS1NSUnBo0ePmAQghECD2jctYPLy8si9rE8GGiwavKyBhlKpZA407Bxluxw1mX2jnex0BgSkpKSguLiY/EAKmLt375IfSMFh3Llzh0ldJTExkWkBK5VKxMTEMGF0Oh1CQ0OZMG5ubvD29mZKF/r7+0On0zGlfSIiIiASiZgKEuLi4tDd3c00FzI5ORl1dXWk4hfBhJ0pywMppDKpQcN01o0QaLD8nkKgwYLRaDSIjIxkwhgMBgQEBDBhvLy8YDQamQKAkJAQKJVKJtUooWCGJTuRkJCA1tZWpmHnycnJqKioYA4a7Bxlmxw1oZFVjp9CowwI+LyY9cjIyJTC0xNhhoeH+b6+PibM4ODglCLnE2EeP348pcj5yMgI39bWNuZvfX19U4rj9/f3893d3WP+1tvbO6VgeXd397h7t4bp6OgYJ7Zu7Xtua2ubUFB+KmttbZ0W5vP2dWBGRkamFMefCDM0NDSlyPlEmIGBgSkHMUyE6e/vn1Icf3BwcJygurW11tvbO+45sbZuOjs7x917T0/PlJj29vZx9/FNWzd2jvrrcNQ3fkAAq1EGBOTk5Iw5EOc4zmrP36VLl8akuEQikdV+r9OnT4+p8pRIJFZ75I4fPz5mZySTyaYUOec4DocOHRpz/iY0sU9mYrEY+/fvHxPhKpXKKXvehoeHxykjWcP09PQgMzNzzN+sfc/Nzc24cOECE6aysnJcOtUa5v79++MiXGuY3NzccTtqa5irV6+OOUvjOM5qM/65c+fGpLjEYrHVPt4TJ06MObeVSqVWe1+PHj06pqJYEGaYzMRiMQ4cODDm/M3aWuM4bpwOs7V1MzAwME4aUKVSTYlpb28fp4xk7bepq6tDVlYWE+bBgwfj0vDWMLdv3x5XHWwNY+co2+Uoin2jnSxlQIBKpcLevXuZ0jVSqRS7d+8mVx8ClkVOlWsTbGhoiCzXJlhPTw+TNq5EIkFDQwOTNq5Go0FRUREuXbpExggVqyzVh1qtFpcuXWJKDWo0Gpw4cYLpbFCj0eDQoUPkPlzAUua/f/9+pmIShUKBPXv2MFVISyQS7Nq1iyk1yPM89u7dyzyIgEUbl+M4tLe3M2njyuVylJeXM2njajQa3L59m2kQgVarRXZ2NlPVqlarxZkzZ5jOBrVaLY4dO8Z0NqjRaHDw4EGmgjc7R9kuR1HsG+1kKabRaNDT04M9e/aQF5dWq0VbWxvT4tJoNKivryfrlQqYsrIynDp1inS9gLl37x6uXLlCxmi1Wty4cYNc5CASiaBWq3HhwgXyeYWw+8jMzCSfcwnKLhkZGeRzLq1WO+pkqG0bWq12VOOUqleq1WrR19fHNFRAq9Wis7OTaaiAVqtFc3MzWVNZwFRXV5M1lQVMaWkpWVNZwBQUFDCJw2u1WmRlZZHP0+RyOWQyGc6cOUPuKxaUpI4cOUI+ixcwBw4cIPeHarVaDA8PY8+ePeSKb61Wi4GBAezevZvci2znKNvlKNK9fGmv9JSa8HDV1taSo3IB8+jRI7Jgt4ApLCwcl5ayhsnJySFXhwqYc+fOkZvWBczx48fJvWQCJj09nVQdKhKJoNFoRqdcUAQSVCoVRCIRBgcHsXv3blJRkXBfLA5QwHR0dJAdoIBpbGwkO0ABU1lZOS4tZQ1TXFw8LnVuDZOXl0euRBYCmitXrpCLQ4T3OXXqFLkYTcAcPnyY3IYiBE779+8nVYdKpVLI5XImByh8/sePH5MdoPBZuru7yVN1BExrayt5hKGdo2yXoyhmd7Ja7ahOaXh4OPlBUavVEIvFCAoKIpOyWq2GUqkkC3ZrNBqo1Wo4OTnBaDRa/zBPYMxm85RDtye6Nx8fH7KWqFarhUqlQmBgIFmwW6vVQqlUIiwsjEQuT4rDR0REkH4bQUxfIpEgMjKS7GSFs9GoqCgSRviep4PhOI4sQC5gZDIZ/P39Sd+bgNFoNOShAsIacHFxsToQ/PPvJWj7qwABAABJREFU4+npSdL6fRLj7+9P1kgW1lpISAjpesCiEaxUKhEeHk56PiUSyehQgcjISNKOUXieRSIRoqKiSCl9jUYzes5HXTd2jrJdjqLYt97JOjo64s0334SLiwsaGxtJD76LiwveeecdKJVKtLe3k35Ad3d3vPPOOxgaGkJfXx9JTDsgIABvvvkm2tvbyembyMhIvPrqq6itrSUJ3QOWHsc1a9agsrKSLL49d+5cLF26FI8ePSI/KCtWrMDs2bPx6NEj8sSOtWvXIjExEeXl5eShAuvWrUNkZCSqqqpIn0cmk+HVV19FUFAQampqSJNBHBwc8Nprr8Hd3R11dXWk71qv1+O73/0uHB0d0dzcPGWBiGAmkwnvvPMOxGIxOjs7SUMFBKH3vr4+DA4OktZaSEgIXnvtNbIAPWAR7njppZdQXV1NLhBJTU3FM888g7KyMrIA+6JFizB//nw8fPiQvG5Wr149qnlNXZ8vvfQSYmJiUFlZSRpeIBaL8eqrryI0NBTV1dWkQEOtVmP9+vXw8fFBbW0teaiAnaNsl6Os2bfeySqVSjg7OyMhIQE3b94kRS9CEVVcXBw5HafX6+Hg4ICoqCgyxtXVdVROj3oYbzKZYDKZ4OnpScaYzWb4+vrC0dGRrI5kNpsRGhoKjuPI4ttmsxnR0dHo7OwkpxfNZjPi4+NRXV1NLkwym81ISEhASUkJKeXDcdwoRhg+Yc2kUilcXFyQkJCAW7dukXYKarUaOp1udK1RSMnJyQkODg6IiYkh/54GgwE6nQ7h4eHktWY0GuHi4gJ/f3/y+7i5ucHDwwOurq5kvWez2YygoCAoFAryuazZbB7NSlDTi2azGXFxcWhqaiLr9gpr4NGjR+QeaQFz9+5d0nm+SCSCyWRCQkIC8vPzSTtmO0fZNkdZs2+9kxUsOjoavb29TBJn8fHxqK+vZxI6SEhIwIMHD5iqUhMTE1FYWMhUKZiYmIj8/HxyhSnHcUhISEBubi5T1V9sbCxTNZ5SqURERAQTRqfTISgoiEnpyGw2w2w2MynW+Pv7Q61WM1WlCulIlob12NhYtLW1MQsdVFRUMKkjJSQkoKioiEmGMSEhAQUFBUwyjMK6oabXRCIR4uPjyYEGYMk2REdHM60bjUaD0NBQJoyLiwt8fHyYMN7e3tDr9UyqWiEhIZBIJEziCHaOsl2Omsqeaif74YcfguM4/OhHP/rCryWXyxEVFcX0xTo4ODBFcACYIzjAMuXDwcGBSYM3NDQUAJjaX6YTwSUkJDDtMgHLw1VcXMxUWMCyy3wSQ91lAtMjf6lUipiYGKYAQKVSMe0yAcuAAJZdJmAZEODi4sI0VUjYZd6+fZuMYd1lAmDeZQJg3mUKmHv37pGrxgUMdZcJ/IX8qbtMwJJqjouLY/o97Rxl2xw1mT21TvbGjRv405/+hKioqC/tNRMSElBaWmqzERwL+X+du8zAwEDmXaabmxsT+Qu7TBby/7p3mSy9j1/XLjMxMfFbv8t0dna22V1mXV0d8y7TzlG2yVGT2VPpZLu7u7Fu3Tp88skncHJy+tJeV4jgWFKMX1cEFxMTM60Irqqq6hu1y7xx48ZXustUq9UICwtjwuj1evj5+TFhvs5d5uPHj6e1y2QRWbD1XSZLoPE07DLtHGV7HDWZPZVO9vvf/z5WrFiBhQsXTnnddAYEJCQkoKysjEzkwkNcVlZGuh74SwTHghEiOBaMEMGxLHrhLJPlfQICAqDVapnmNUZERAAA02zQ2NhY9PT0ME3SSEhIQENDA5Nwf2JiIqqqqpiUb4QKaJZ1k5iYyPQ9C4EGC0bYZbJghF0my7oRdpks7+Pt7Q2DwcCUNQgJCYFcLmcKAIRWGZZMQ3x8PFpbW5lUlhISElBTU8OkzpWQkIDy8nImIrdzlO1y1IRGVjm2Edu1axcfERExKnY9Z84c/oc//OGE11IGBDQ0NIwRjR4eHp5SrFrAPGlDQ0NTCk9/WZiphLe/Tszw8DDf1NTEhOnr6xsnqm0N09nZOU5A3xqmtbV1nKC8NUxTU9OY33xkZGRKcXye5/nGxkb7uvkaMAMDAxMK109l3d3d4wTlrWHa29vHDV6whmlubh63TqxhPr9uKGvNzlG2w1Hf+AEBVVVV+OEPf4gdO3aQ+ssoAwIePXo0JmUnEoms9iIWFhaOGeotFout9pRdv359TMROwVy6dGmMnCClr/LMmTNj5AQpmOPHj49J2VnDiEQipKenjzkbpGA+r6ZkDTM0NISMjIwxEbs1TE9PD44fPz7mb9YwLS0tOHfu3Oj/5zjOal9hVVXVmJmelHVTXFw8JtVLWQO3bt0ac85HwWRlZY0556OsgfPnz4+RE6RgTp48OeZMmYI5cuTImJSdNYwgDv/k2SDlfT6vpmQN8/jxYxw5coRprXV0dIyTE7SGqa+vx+XLl0f/P2Wt2TnKdjmKYk+Vk83NzUVjYyPi4uIgkUggkUhw8eJF/OY3v4FEIhmXcqEOCMjMzCRLvAGWtEhGRgbT+ZNCocD+/fuZCl2kUin27t3LdI4AgFkcfnBwkEkcHrA4s8+T0lQmlUpRX19PlngDLL9NSUkJk8apSqVCfn4+01mnSqXC1atXmQqkVCoVTp8+zZTqVKlUOHLkCNO8UaVSiYMHD5J1mAFLinjfvn1MKXKxWIy9e/eSi6oAYGRkhEmHGbAMIvh84DSViUQitLW1jQucpjKlUomysjImHWaVSoW7d+8yDTZXqVS4fv0601xTlUqF8+fPk3WYBYydo2yToyj2VDnZBQsW4M6dO8jPzx/9LyEhAevWrUN+fj5ZqeZJU6lUGB4ext69e8mkpFKpMDAwwERKSqUS3d3d40Y2WcO0trYyTaxQqVSoq6sja+MKmEePHpG1cYV7KywsxPXr10nXC2PdcnJyyFWbMpkMIpEI58+fJ5/ZCGpNx48fJ5OSgMnIyCCf9yqVylE9XepUHaVSiaGhIezdu5d8bqdSqdDX14d9+/aRSUmlUqGjo4OJlJRKJZqampim6iiVSlRVVeHMmTOk64V7Ky4uxtWrV5kweXl55AphYazblStXyAVfwho4ffo0+dxOULk6cuQIuX9ZwBw4cIBcuGPnKNvlKIo9VU5Wq9UiIiJizH9qtRp6vX70kJrVhIero6ODLPQuYBobG3Hs2DESRni4KisryaO+BExRURFZsFu4t1u3bpGrCQXM5cuXUVJSwnRvp06dIvc6CpjDhw+TilCEuZk8z+PAgQOkIhSFQgGO4zA8PIx9+/aR2haE+3r8+DH27t1LKngSMAIpUZyZgGEhJQFTW1uLEydOWL3+SczDhw9x8eJFEkZYA3fu3CFXuwqY7OxssqKOcG/nzp0jF64ImOPHj5OLUIR7S09PJ7W7iMViyGQyjIyMkAMn4T0GBwfJgZPwWVgCJztH2S5HUeyLJ5yfclOpVHBwcEBnZyfi4uIwMDBgVU9TwHR1dSE6OhrDw8NWc/cCpq+vDyEhIRgZGbF6riJgRkZG4OvrC57nrZ6RCBi5XA6TyTTltZ/H6HQ6sl6ngHFzcyNp/QKW9hitVgt/f38mwW6e5xEZGUkeKuDk5ISenh7ExsaShwpoNBr09fUhPj4eAwMDVvVhn1w3AsZancCTmNjYWAwODlodii1genp6EBERgeHhYavfnYAZGBhAYGAg07oRiUTw8PBgwqjVahgMhimvFUypVMLBwQEGg4GsQSu8j6enp9XvSzCNRoPBwUHmoQLd3d2jz7Q1k0qlo890XFwcBgcHSdwhjK4T1g2VO+wcZZscZc2eqp3sRHbhwgX8+te/njZeo9HgjTfegLu7O+rr60mC1c7OznjnnXeYhN7d3Nzwve99D2KxGF1dXSShd19fX2ah97CwMGzYsIFJ6D0hIQHPP/88k9D7nDlzsHz5cpSXl5PFt5ctW4Y5c+YwiW+vWbMGSUlJKC8vJ2O+853vIDo6miz0LhKJ8NprryEkJIQs9K5UKrFhwwb4+Pigrq6OVIjn4OCA7373u6NC7xSHYTAY8L3vfY9J6N3DwwPvvPMOhoeHyULvgYGBeOONN9DR0UEiSsAiwPDKK6+QByQAwMyZM7F69WrybwMACxcuxMKFC1FWVkZeA6tWrUJqaioT5sUXX0R8fDwqKirIa3r9+vWIiIggD6OQSqV47bXXEBgYiJqaGtLzZuco2+Yoa/bUO9kvalKpFDqdDjExMcjPzyen/dRq9SiGYg4ODlCpVIiMjCRjnJycoNVqERwcTD6P0uv10Ov18Pb2Jr+PwWCAh4cHnJ2dyUIHBoMBAQEBkEgk5IZ1g8GAiIgI9PX1kc9YDQYDYmJi0NDQQE4VGgwGxMbG4uHDh+RzLwFz7949UhGHSCSCXq9HbGwsCgoKSDsfhUIBrVaL2NhY5OXlkUfQqVQqREdHk9eATqeDWq1GeHg4eQ3o9XrodDoEBASQ38dgMMBoNMJsNjOtNV9fX2g0GnLBkMFgQEhICIaHh8mpQoPBgKioKLS1tZFThcJaq6qqIg9uF9ZNSUkJWVRDeJ/CwkLS0YSdo2ybo6zZt97JChYREYHe3l6mBueYmBjU1dUxqZXExcXhwYMHTGolAvmzNLmzkD9gSbOykD9gOcdiIX/AUvEdFhbGhHFwcIC/vz8TxmQywc3NjUnlxs/PD2q1mqnoITQ0lIn8AYySP4ugQmxsLCorK5mqRWNjY1FUVMSkqBQbG4s7d+4wCXHExsYiPz+fSRyBhfwBi6OJjIxkWgPCDFoWDCv5A2Amf8Ci3iWRSMa02VgzO0fZLkdNZXYn+z+mUCiYv1hHR8dpkb/JZGKa9OLn5zdaKUe1sLAwDA0NobS0lIyJjo5Ga2srM/lXVFQwqTAJ5M/SYiKQP0vZ/9dJ/iwYtVqN4OBgpjYjvV4PLy8vprXm6ekJJycnphaToKAgiMVipnamiIgI9PT0MJN/bW0tUzuTQP4sKkyxsbG4e/cuE/nHxMSgoKCAXJktrBtW8o+KimL6Pe0cZdscNZnZnewTJnyxLELasbGxuH379ldK/iKRaPQhpppUKkVERAQz+QcFBTG9j8FggKenJxPGy8sLOp2OKfIPDg6GSCRiIv/IyEh0d3ejvLycjImJiUFNTQ3TSLnY2FiUlpYy9RcK5M/SlypE/t9m8nd1dZ0W+VOrnwEL+Q8MDDCTf3NzM5PYf2xsLMrLy6dF/naOsj2OmszsTvYJ8/b2hoODAzP5cxzHTP6dnZ1fC/mXlJTYJPlPJ+3Dmi5UKBQIDQ1lwuh0Ovj5+THtMt3c3ODq6spEFv7+/lAoFNMif5ZJL9HR0WhqamISMhA0a1kmvcTExOD+/ftM5B8TE8NE/tNZNyKRiDldKJPJEBERwYTRaDTM5O/i4gIPDw+mdWPnKNvlqMnsG+1kWQcECF8sy7mXRCIZjWKpJghpsyxGJycnBAUFMaXXzGYzPDw8mDABAQHQ6XRM9xYWFgapVMpEytHR0RgcHGQ+L+zs7GQ6L4yJiUFrayvTgyJgqCasGxaMEPmzrBuZTIbIyEim/j2tVouwsDCmNeDq6go/Pz+mczwfHx+4uroyvU9ISAjUajXT8xYZGQkAzCnj3t5eJlWi2NhYtLe3M6lZCWuAZa2xrhs7R9k2R01oZJXjp9AoAwLq6+vHiEBbE8TmeZ6vqakZJyhvzaqrq8cJg1MwT9q3DTM4OMjX1dUxYbq7u8cIyo+MjFjFtLa2jhGUp3yWxsZG/vHjx0yYurq6MWLw1LVmXzdsmJGREWZMf3//GEF5yrrp6OgYwyWUz9Lc3Dw63ISKsXOU7WC+8QMCWI0yIKCjowMnT54c/f+UPq+GhgZcunSJCVNWVjZGSYeCKSwsHFN6TsHcuHFjTIqHgrl06dKYXQsFc/r06TF6uhTMsWPHxkSF1jBisRgHDx4ckxayhuE4DgcOHBjdgXAcZxUzNDQ0RoGJ8lk+P4iAgploEIE1q66uxrVr15gwxcXFY84tKZi8vLwxZ5AUTFZW1pgCFArm84MIKJgTJ06MSSdS1sDnBxFQ1tqTgwgo64bneaSnp4+mICmfpb+/f4yeLgVj5yjb5SiKfaOdLGVAgFwux82bN5mGE8vlcly6dInpvEIul+PkyZNMKTi5XI7Dhw8zicNLJBIcPHiQKcUhEAzLGQf/P1KHLOm0gYEBJo1TjuPQ2dnJJA4vl8tRU1MzxplRMKWlpWOcmTWTyWQoKChgKsKRyWTIyspiKqiRyWQ4e/YsUzWlXC7HsWPHmFPRGRkZTGdjEokEBw4cYBaH//xUHWs2NDTELA7f29vLJA4vFovR1NQ0xplZM5lMhvLy8jHOzJrJ5XLcu3ePaei6naNsl6Mo9o12shQT1FNYFopcLgfP80wLRS6XY3h4mGmhyGQyPH78mGmhyOVydHV1MS0UuVyOlpYWJmcmk8lQXV3N5MxkMhmzM5PL5UzOTCwWQywWMzkzQXnp7Nmz5OpQYd2wODMBw+LM5HI5RkZGmJyZXC7H4OAgkzOTy+Xo7e1lcmZyuRzt7e1Mzkwul6OhoYHJmcnlcpSXl48ZEUfBsDgzjuOYnZnwe7I4MwFz4sQJ8jmknaNsm6Os2bfeyQoEy7JQBAzLQhEwLAtFeLhYFoqAYVkowr2xODPhfbKyssjVrgLG1pyZ8PkFcXiKMxPeg8WZCRgWZyZgWJyZgGloaBg373QyE74DFmcmYFicmYCZjjO7ePEi2ZkJ78PizAQM1ZmJRCJIJBImZyZ8FhZnZuco2+Yoa/atd7JyuRzOzs4AgJSUFNKil8vl0Ov1AIDk5GRStauAEYlEiIuLIz0oAkahUCA8PJxMsIJEnp+fHxPGbDbDzc3N6vUCxtnZGf7+/mRdUKVSCScnJ4SFhZG0fgFLX5yDgwNiYmLIOqeOjo5Qq9VISEggOTKRSARnZ2fIZDIkJyeTHaZOpwPHcZgxYwbzuklJSWFaNxzHITExkXxver0eUqkUUVFRZGeu1+tHW1FY1o2Liws8PT2tXv8kxsvLCy4uLiSMQqGAs7MzgoODmYYK6HQ6REZGWh32IJhWq4VWq0VcXBzpesBSUatUKpGYmEj6ngWJRIlEwsQddo6yXY6yZt96J6tQKPD666+PCr1TpjU4OjrirbfeYhJ6d3V1xdtvv80k9O7l5YW33noLQ0ND6O/vJx3Ch4SEYMOGDWhvbycVbwAWJZ3nn38etbW15IU1a9YsLF++HBUVFROedU9kixcvxty5c1FWVgYnJycSZvXq1UhJSWEWeo+JiUFlZSWT0HtYWBiqq6tJRC6RSPDaa68hICAAtbW1JNFytVqNN954A2azGQ0NDWSh97fffhsODg5oaWkhOQyz2Yy3334bIpEI3d3dJKF3f39/vPHGG+jt7cXQ0BBp3URGRuKVV15BU1MT2ZGlpKRg9erV5EEMADBv3jwsWrSIaQ2sWLECaWlpKC8vJ6+1tWvXIiEhARUVFeT3eeWVV0YHBFAGHnAch9deew3BwcGoqakhfQd2jrJtjrJm33onKxaLodVqERkZiTt37pCjKqVSOYqhmFqthlwuR0REBBnj4OAApVKJkJAQcvO5o6MjHBwc4OvrS8bodDoYjUa4urqSZdF0Oh18fX2hUCjITe46nQ4hISEYGBggi2/rdDpERESgpaWFXJCh0+kQFRWF8vJysv6qgCkuLializmOG8UUFhaSR6Op1WpERUXh9u3b5LmgcrkckZGR5N9To9GM6q9S15qw+w8MDGRaN87OzvDw8GDCeHh4wMHBgSzEIQwu4DiOfM6u0+kQFhaGrq4u8oAAYedbW1tLPpoQ1sCDBw/IZ5/C+9y/f5+0w7RzlG1zlDX71jtZwcLCwtDT04OKigoyJjIyEnV1dUziAFFRUXj48CFpKPSTGOoD+STmzp07TAonLEQOWNKsERERTBiZTIbQ0FAmPV2tVgs/Pz+m93F1dYXRaGR6H29vbyiVSibR9uDgYAwNDTE9kOHh4WhtbSVPFQIsv2dlZSVTFSdL0CBYZGQk7t69y1SRyUL+gGWtCeuTahKJBOHh4UxrQKlUMgUNgCX96+npyXRv7u7ucHJyYlLvCggIgEgkYhosYeco2+WoKe/hS3mVr8l+8YtfIDExEVqtFq6urnj22WdRXFz8pby2QqFAUFAQ04+h0+ng5eXFhHFzc4OzszOTkLafnx8kEgnTZw0NDUVfXx/zA9nQ0MCkvhIVFYWysjKm1g8himcpx4+MjERhYSFTGwfLjhH4ywPJ8nBJpVKEhoYyrQGNRgN/f38mjIuLC9zc3JiDBrVazdT6ERQUhOHhYSbpxvDwcLS1tTEVikRGRqKqqopJgScyMhKlpaVM0o1C0MDSMiQQOUvQwEr+YrEY4eHhTL+nnaNsm6Mms6fKyV68eBHf//73kZ2djdOnT2NwcBCLFy/+4rJX/2NRUVG4d+8e0wMpRGNfZRQvPJAsD4pcLkdwcDATxtHRET4+Pkz3ZjKZoNfrmR9ImUzGpKUaEhKC/v5+pkkvERERaGpqmtYDySLbFxkZiaKiIqZJL9MJGqZL/qxBA0uaGbCkGQMCApjWmsFggNlsZsJ4eXlBo9EwBw08zzMHDZ2dnUy9yVFRUaipqWGSO4yKikJpaSnTpBc7R9kuR01mT5WTPXHiBF5//XWEh4cjOjoamzdvRmVlJVNj91QmnPuwpnC6u7tRWVlJxrCe+wBgPvcR3ufevXtMKZzppv6mk8JheVDkcjlCQkKYMKznPgBGz31Y3of13AfAtM59WM+mATCfTQuY4uJipqAhKiqKOc08HfJn3TFKJBKEhYUxYVQqFXOaWTibZlk3rGfTgJ2jBIwtctSkr/WFX+GvaAJxCOXtnzfWAQESiQTx8fFM6SilUomYmBim8wsnJyeEh4czEZ+7uzv8/PyYzuQCAgLg5ubG9D5hYWFwdHRk+jyRkZGQyWRMqZWoqCjwPM+0k4uOjmYiccAiwM4S9XMch7i4OKbPIhKJmNeNTCZDXFwcEyFptVpERUUx7bJdXV0RHBzMtG68vb3h6enJhAkODoZer2dKyYWHh0OlUjF9b1FRURCJREy/aXR0NHieZ1LxiY6OZnoPwLLWWJwFx3FISEhgCmbsHGXbHDWhkVWObcyGh4f5FStW8KmpqZNeQxkQ0NLSwre3tzO9d11dHd/b28uEqaqq4gcGBpgw5eXlY0S+KVZWVkYSwn7SHj16xHT9Nw3T39/P19TUMGHa29v5lpYWJkxjYyPf1dXFhKmpqeH7+/uZMBUVFWMGEVBsuuvm27zWhoaG+IqKCiZMd3c339DQwISxc5TtrIFv1YCA73//+ygsLMTu3bsnvYYyIGBoaAgZGRlMUW5fXx+OHj3KhGlvb8fp06fJ1wNAfX09k5QcADx8+JA5fX7nzh2miloAuH79OlPBAmCRn2M5HwWAU6dOMUXGgEUdiuWcSyQS4eDBg0y7EP5/VH5YotzHjx/j8OHDTOumq6sLJ06cIF8PAM3NzTh//jwTpqqqCtnZ2UyY4uJi5nRaXl4e0/koYFHsYVXfOXfuHNP5KABkZmYy7Y5EIhEyMjKYdqIAcPDgQWbtZjtH2S5HWbOn0sn+3d/9HY4ePYrz58/Dw8Nj0usoAwIkEgnKy8uRlZVFfn+JRIJ79+4xicNLJBLcuHGDSRxeIpHg4sWLTAUYUqkUJ0+eZDpLkUqlOHLkCFOqTywWIz09nVkcnpVghoeHkZGRweTMWAlGIpGgpaWFLEEoYGpqapjE4aVSKUpLS8dMOqFg8vPzmYp9pFIprl69yiQOL5FIcPbsWabzXolEguPHjzMFQWKxGIcOHWJKk4tEIqSnpzOl+kZGRnDw4MGvfIBFV1cXMjMzye8hlUrR0NDApKdr5yjb5ihr9lQ5WZ7n8Xd/93dIT0/HuXPn4Ovr+4VfUyKRALBEvlSCETCZmZnkFgQBw0Iwgi4qC8FIJJLRqSVUgpFIJOjr62OKliUSCTo6OpgEuyUSCRobG3H27FkmTEVFBTPB3L9/H/n5+aTrOY6DWCzGzZs3yQUlwu956dIlstiBgDl16hS5b1HAHDlyhHwWK2DS09PJZ3cSiQTDw8NMO3qJRILHjx+PGfdGwXR3d08rCGIZKiCRSFBbW4uLFy8yYR48eIAbN24wYQoKCsjFS8Jvc+3aNXKlvJ2jbJujrNlT5WS///3vY/v27di5cye0Wi3q6+tRX1/PVATweRMWljDphEIwAmZgYIBMMAKmp6eHLPQuYFpbW8kpQwFTV1eHCxcuMGEePXqEnJwcJsydO3fIKUMBk52dTa6qFTDnz58nizcImBMnTqC1tZUJc+jQIVLKULheIBhKylDADA0NIT09nUQwAqa/v59MMAKGZUyggGlqaiITjICprKzE1atXmTBFRUXIy8tjwty6dYvchylgrly5Qq6qFTCnT59mDoKOHj1KCoJEItGojCA1CLJzlG1zlDV7qpzsH/7wB3R0dGDu3Llwc3Mb/W/Pnj3Tfk2JRAJXV1eIRCLMnj2blCaQSCQwmUwAgNmzZ5MXvclkAsdxSE1NZXofqVRKFiAXMBqNBpGRkeQHxWQywdXVFf7+/lavByzpG6PRCB8fHybBbhcXF4SGhpK1YZVKJZydnRETE0PWLNVqtXB0dERSUhJ5qICzszNUKhVSU1NJ35lYLIbBYIBEIsGsWbPIDtNoNAJgXzfTwYjFYqSkpJDvzWQyQaFQICYmhmndODk5ITg4mAnj7u5OHioglUrh6uqKwMBAGAwGEkahUMBgMCAyMpKkKQxYREKcnJwQHx9P1mLW6XTQaDRISUkhXQ9YhEXkcjnS0tLIv42do2yXo6zZU+Vk+f8pw//8f6+//vq0X1MQevfz80NtbS1JfFuj0eCNN96Am5sb6uvrSULvBoMBb731FrRaLZqbm0kPsaenJ954443Rsx+K0HtwcDBeffVV9PT0YHBwkCy+vXbtWjQ2NpLJJS0tDcuXL0dVVRV5MsqiRYtGxbepwv2rVq1iHhDwwgsvICYmBhUVFeT3WbduHcLCwpiE3l9//XUEBgaiurqaNCBALpfj9ddfh5eXF+rq6khBg6OjI958803o9Xqy0LvJZMJbb70FmUxGFnr38/PDa6+9hsHBQbLQe2RkJF5++WW0tbWRhd5TUlKwatUq8rMG/GVAQHl5OVnoffny5UhLS8OjR4/I6+a5555DQkICysvLyZiXX355VPKSem8bNmxASEgI8zAKO0fZJkdZs6fKyX4VJhKJoFKpEBYWhnv37pGiKqlUCplMNoqhmEKhGG2Mp2JUKhVkMhmCg4PJGLVaDbVaDV9fX/I5kVqthsFggNFoZHofT09PqFQqcgpPEKAfHh4mn0ep1WqEhoaivb2dfB6lVqsRHh6Oqqoqcv+dgCktLSVXiwqYoqIicgQvjAS7e/cuWehdKpWOYiimVCohkUgQGhrKtAYUCgUCAwOZMI6OjvD09GTCCLtfarWosJ7FYjG5KEetViM4OBh9fX3kdLFarUZYWBgaGhrIRTnCGigrKyOfYwrvU1xcTNot2jnKtjnKmn3rnaxgISEh6O7uZqqSCw8PR11dHfncT8A8evSI6RxZIHKWijeWB/JJDIv6DMdxCA0NZa58DQ4OZnofjUYDb29vJoyLiwtcXFyY7s3LywsKhYJJTScwMBADAwNMlbyhoaFoaWlBY2MjGRMWFobKykpmsYfS0lKmqtywsDDcv3+fqZqbhZQBy7phxYjFYua1plAo4O/vz4TR6XRwd3dnwri5ucHR0ZFJ8cvf3x8cxzG1M9k5ynY5aiqzO9n/MaVSCX9/f6Yv1snJCW5ubkw/oLu7O7RaLfMDCYDpID40NBSdnZ2ora0lY8LDw1FbW8vUkhEeHo4HDx4wlcmHhYWhqKiIqb0iPDyc+YEUMFQTiUTMD7FMJkNQUBATRqvVMgcNrq6uMBgMTJ/Hx8cHMpmMKWgICgrC48ePmfoLw8LC0NTUxBQ0hIeHo6KigqkvNTw8HCUlJUz9zMIa+CYEDXaOsm2OmszsTvYJm05kxZLGA/7yQLJgJBIJc2SlUqng5+fHhNHr9TCZTEwYT09PqNVqpgcyICAAIyMjzA9ke3s703g4YQg7i2Sb8ECyCAyEh4fj/v37TA8k61qbDpGLRCJmIpfL5UwpY8CiEe3p6cn0PkajkSllDFiCBolEwtTHKaSMqW1WAJhTxgCYU8bC+xQXFzMFDXaOsl2OmszsTvYJCwkJQU9PD1M6JiwsDPX19UzqMkI6hkWViOUM50nMdNIxX3UUL5VKERQUxIRRq9Xw8fFhwri4uMDV1ZUJ4+npCaVSyTSyKzAwEENDQ0wp47CwMLS0tDCpy4SHh6OyspJJu3i6KWPqOfOT70M9ZwYs64aV/MViMUJCQpiDhoCAAKb3EQbLs2Dc3Nyg0+mYggY/Pz+IRCI8fPiQjLFzlO1y1GT2jXayrAMCFAoFkpOTmSJLJycnxMXFMaUizGYzwsPDmaJef39/+Pn5MS36kJAQmM1m5l2Zs7Mz89BurVbLLMBOqch90uLi4shtPIIlJiaO9r5RTCQSITk5mVTxKJhUKkVycjKTU9JoNEhMTGRyfq6uroiOjmZaA97e3ggKCmJaa0FBQfD09GQ6kwsNDYWrqytzKlen0zEPiVCr1eTrASAmJoZcySxYfHw8qSJXMI7jmFrGAIy2WLE8N3aOsm2OmtDIKsdPoVEGBPT19fHl5eVMr9va2srX19czYerq6vi2tjYmTEVFBd/T08OEefjwIbPId0lJCbPId1FREbPId1FREdP1towZGhriS0pKmDCdnZ18dXU1E6apqYlvbm5mwlRXVzMPIigrK2MeRFBaWsoPDg4yYYqLi6e1br7Na83OUbbDUd+qAQEUowwIAICMjAxmXdSMjAxmXVRWcfienh4mXVTAorzCKglWW1tLVuwR7OHDh2TFHsFu377NlIYFLMorLOdpAHDhwgWyYo9gJ0+eZErDchyHI0eOMKuNZWRkTEscnmW319/fT1bsEayjo4NJthAAGhsbmWQLAaCiooKs2CNYUVERc6Vnbm4u83nalStXmM78AeDMmTNk2ULBjh8/zrRDBOwcZcscZc2+0U6WMiBAJBIxT58QiUTM0ydEIhHKysqYxOFFIhEKCwuZzx9ycnKYzgc5jsOFCxeYzgc5jsPJkyeZqvxEIhGOHDnClE4CLATDkh6bzlCBx48fMzkmofmexTFxHIfm5mYmcXiO41BdXY1r164xYUpKSpiHVOfl5TEVFYlEIly9epVpQo5IJMLZs2eZzgc5jsPx48eZKpE5jsPhw4eZ0pA8z08rCGIZKgBYBlgcO3aMjLFzlO1z1JSv+aW90lNqwtnbzZs3yZGvgLl8+TI58hUwp0+fJvesCZhjx46RI19BceXQoUPkyFckEjFHviKRiDny5TiOOfIViURobW3FmTNnmDC1tbW4cuUKE+bBgwfkyFdQOCooKCBHvsJvc+3aNbJAgoA5f/48eXcuYDIzM8m7c2GtsezOOY4bdUzUIIjjOObdOcdx6OvrYw6CWHfnHMcx7845jmPenXMch/v376OwsJB8PWDnKFvlKKv38aW90lNqT8qAHTp0iFQcIGBGRkaQnp5OVm0BgMHBQXLkK2B6e3vJka+w6Nvb28mj2wRMfX09eXSbgGGJfIXPwxL5Cu9z/fp1cuQrYC5evEhWiRIwLJHvk46JEvk+WUxFJRgBw7I7FzAs82uF34Zlfq2AYZlfK2BYducCpqSkhDy6TcCw7M4FzNWrV8nVuwLm7Nmz5JYfAXP8+HGSuIido2ybo6y+5pfyKk+xiUQimM1mSCQSLFiwgExiXl5eAIDFixeTFjDHcfD29gZg0cekRP4CRiwWY86cOaR7E4lE8Pb2hlKpJFcuChi9Xo+oqCiyYLenpyc8PT2ZBLvNZjOCg4PJgt0qlQpGoxExMTFkPVkHBwfo9XqkpKSQqwP1ej0cHBwwa9YscjWy2WyGXC7H/Pnzyd+zh4cHRCIRFi5cSIrIhd8GoK8bAcNxHBYsWMD0PjKZDGlpaUxrzcHBAfHx8eTBCl5eXjCZTAgJCbF6PWBZNx4eHvDz8xv9LqyZXC6Hm5sbIiIi4OLiQsJoNBq4uLggISGBPFRAp9NBp9MhNTWVXI3s6uoKtVqNuXPnkqrY7Rxl2xxlzb71TpbjOGzYsAH+/v5koXelUon169fDw8MDtbW1pLYSZ2dnbNiwAU5OTmhoaCAJvXt4eGD9+vWQSqVoa2sjtQcEBwfj5ZdfxuPHj9HX10cW33722WfR0tJCFnpPTU3FkiVLUF1dTW6PWLhwIebMmYOysjIyia1YsQLJyclMgt1r1qxBTEwMk6D8yy+/PCpdSBUTf/XVVxEUFISqqipSW4lUKsX69evh4+ODmpoa0vem1Wqxfv16GI1G1NXVkYjcaDRiw4YNUKvVaGpqIgUNvr6+WLduHXieR2dnJ0noPSIiAs8//zw6OzvJQu9JSUl45plnUF9fT3oGAGDOnDlYsGABKioqyO07S5cuxcyZM/Ho0SPyGli1ahXi4+OZ1toLL7yAyMhIVFRUkNf0K6+8guDgYLJwvZ2jbJujrNm33skClqg3JCQExcXF5AhJIpEgJCSErCIik8kgEomYMHK5HGKxGEFBQUwYhUIBX19fJoxOp4PJZGLCmM1maDQasmyfXC6Hn58feJ4np37lcjmCgoLQ2dlJTv0Kv2dtbS35TFLAPHr0iFwsI5fLERwcjOLiYnIEL4ipU79nqVQKsVg8+j4UE9YaC0YYRODv78+0BjQaDTw9PZkwBoMBzs7OTPfm5eUFmUxGFm4QlKseP35MTv0Ka6C5uZmc+hUwFRUV5GIZAVNaWkousrJzlO1ylDWzO9n/saCgIHR1dTGV8IeEhKCuro5Jti8kJARlZWVMVY8hISEoKSlhqpYVHhSWqkcWUgYsETYrRiKRIDAwkEniTK1Ww8vLiwljMBig1+uZ7s3T0xNyuZxJgScgIAADAwNMbUYhISFoaWlhku0LCQlBZWUlU+sHK5ELGCqRfx5DNY7jmIgcsAQoLEQOWAiThcgBy2hBNzc3ps/j5uYGrVbLpBHt6+sLAEyTXuwcZbscNZU9lU72d7/7HXx8fEbVT65fv/6FX1OlUsHb25vpi9Xr9TAYDEwYDw8PyOVyplYJf39/DA4OkitSActibG1tnRaRs7RKhISE4MGDB0wtNsKi/yofLuHevg4i9/PzY8I4ODjAbDYzYUwmExwcHJiJXCQSMfWLBgUFobu7m0m0PTg4GPX19UytEgKRs6gQCUTO0vs5XSJn+W0EImfBTIfI7Rxl2xw1mT11TnbPnj348Y9/jH/7t3/DrVu3EB0djSVLljBNAJnMpkvkLBjWNB5gSeOwErlWq4W7uzsTxmg0QqfTMRG5j48PM5EHBgait7eXqb8yJCQEDQ0NTI3/ISEhKC8vZxKM+LqInDUAmA6Ri8ViZiJXKpXw8fFhJnIXFxcmjLu7O5RKJTORDw0NMRN5W1sbkziJMFCdZaxgSEgIHj58aLPBpp2jvnqOmsyeOif78ccf4+2338Ybb7yBsLAw/PGPf4RKpcJnn332hV87JCQEjY2NTLMXvwiRs6bxbJXIWXd/0yFyJycnGI1GZiJXqVRMRO7n54eRkRGmUW9BQUFob29nCvRCQkJQU1MzLSJnUf4JDg5mTuPZKpGznhkDlophDw8PJoyrqyucnJyYiNzb2xsSiYTpqCEwMBB9fX1MYv92jrJdjprM6MrpNmADAwPIzc3FP//zP4/+TWiHmKjn7vHjx2POFYRzicmKYUQiEaKjo9HR0UFu49BoNAgLC0NzczO5IlGv18Pf3x/Nzc3kFhOTyQQPDw+0trZCKpWSMB4eHmhqakJHRwdZ8N7HxwcjIyNMEoPCZ2HBhISEoL+/nwkTEREBsVjMhImNjWX+PPHx8cz3FhcXh66uLnIVo0wmQ0REBFpaWsik5OTkhODgYDQ1NZErH41GI7y9vdHc3EwermA2m1FdXU2uFgUsA++7u7uZ1pqfnx9qamqYvmehCI51EpFQNU216OhoAJNzxUQWHx+PwcFBZkxvby8ZY+eovy5HCf+bJZB4qpxsc3MzhoeHYTQax/x9sh3OL37xC7z77rvj/u7p6fmV3aPd7GY3u9ntm21dXV3kgOWpcrKs9s///M/48Y9/PPr/R0ZG0NraCr1ePy5q6uzshKenJ6qqqsh9dd8kjK3elx1j2xhbvS875puHsYX74nkeXV1dMJvNpNcCnjInazAYIBaLx4lENzQ0wGQyjbteLpePa963pho02SCBbwvGVu/LjrFtjK3elx3zzcP8te+LuoMV7KkqfJLJZIiPjx8zJmlkZARnz57FjBkz/op3Zje72c1udrPbeHuqdrIA8OMf/xivvfYaEhISkJSUhF//+tfo6enBG2+88de+NbvZzW52s5vdxthT52RfeuklNDU14ac//Snq6+sRExODEydOjCuGYjW5XI5/+7d/I4t8f9MwtnpfdoxtY2z1vuyYbx7GVu/LmnH8lyFpYTe72c1udrOb3cbZU3Umaze72c1udrPb02R2J2s3u9nNbnaz21dkdidrN7vZzW52s9tXZHYnaze72c1udrPbV2R2J2s3u9nNbnaz21dkdidrN7vZzW52s9tXZHYnaze7fYvtjTfewL/8y7+M+du1a9fAcRxWrFjxV7oru9ntm2P2Plm72e1basPDwzCZTDh27BiSkpJG//7d734Xvb29OHjwIB49esQkhm43u9ltrNl3snaz2zfQPDw88Pvf/37M37KysqBSqUYH0mdlZUEqlSIxMXH0mu7ubuzZswc/+tGPMG/ePGzevJn5de1mN7v9xexO1m52+wZacnIybty4Mfr/eZ7Hj370I/zDP/wDvL29AQCHDx/GypUrx4x93Lt3L0wmE5KSkrBu3Tp89tlnYwZUU17Xbnaz21/M7mTtZrdvoKWkpIxxhtu2bUNVVRX++Z//efRvhw4dwqpVq8bgNm7ciHXr1gEAnn32WdTV1eHixYtMr2s3u9ntL2Z3snaz2zfQUlJScP/+fXR3d6Onpwf/3//3/+H999+HRqMBANy/fx+1tbVYsGDBKKa4uBhZWVmjTlaj0WD16tXYuHEj+XXtZje7jTW7k7Wb3b6BFh8fD5FIhFu3buGXv/wlXFxcxoyDPHz4MBYtWgSFQjH6t40bNyIx8f9n777Dorja/4+/d+ldaQIqihGx9957xx5rYomPGksSYx5jqiWJMVETTdTYHntP7EZj72IvUaNiF0QBAemwwO7+/uAnXwlFVGAGvF/XtVeys7MzH5fdvXfOnDmnDt7e3mnLBgwYwKZNm4iKisrRdoUQ6UmRFaIQsra2pkqVKmzatImZM2cya9YstNr/+7hv27aNrl27pt1PSUlh5cqV9O/fP9122rZti7W1NevWrcvRdoUQ6RW4+WSFEDlTv3595syZQ9euXWnevHna8tDQUM6dO8f27dvTlv3555+EhIRQuXJlrl69mm47TZs2ZcmSJbz//vvZblcIkZEUWSEKqWrVqmFmZsaMGTPSLd+xYwd169bF2dk5bdmz865t2rTJcnuXL1+matWqWW5XCJGRFFkhCqn169czZswYypYtm255Zr2Kd+zY8drbFUJkJEVWiELEYDDw5MkTlixZwq1bt9i2bVuGdRo3bky/fv1yfbtCiIxkWEUhCpHDhw/TsmVLypcvz7Jly6hXr56qtytEYSdFVgghhMgj0vdeCCGEyCNSZIUQQog8IkVWCCGEyCNSZIUQQog8IkVWCCGEyCNSZIV4BZMnT043D6sQQmRGiqwQBZSfnx+TJ08mMjJS6Sgv9CpZjUYj33zzDceOHcuzXIGBgWg0mhzd7t69m2c5ROElIz4JUUD5+fkxZcoUBg8eTJEiRZSOk61XyXrz5k0mTZpE+fLl8yyXhYUFq1atSrufkJDA8OHDadGiBe+9917aco1GQ5kyZfIshyi8pMgKIVTp/PnzANSsWTPP9uHq6so777yTdv/cuXMAdOrUKd1yIV6VNBeLN9KDBw8YNWoUPj4+WFlZ4eTkxNtvv839+/czrHv8+HHq1KmDpaUlb731FgsXLkz3+MaNG9FoNBw5ciTDcxcuXIhGo0k3fVxQUBDvvfcexYoVw8LCgkqVKrF06dIMzw0KCmLo0KF4eHhgYWGBl5cXI0eOJCkpicmTJzN+/HgAvLy80po0n8//MvvJyXqv+jrmJOu/1a1blwEDBgDg7e2NRqPJl6P1y5cvA1ClSpU835d4M8iRrHgjnT17Fj8/P/r27UuJEiW4f/8+8+fPp3nz5ly7dg1ra2sArly5Qtu2bXFxcWHy5MmkpKQwadIkihUrlratTp06YWtry++//06zZs3S7WfDhg1UqlSJypUrAxASEkL9+vXRaDSMGTMGFxcX/vrrL4YOHUp0dDRjx44F4NGjR9StW5fIyEiGDx9O+fLlCQoKYuPGjcTHx9OjRw9u3rzJunXrmDVrVtq0dS4uLi+1n5yu9zqv44uyZmbChAlMnjwZnU7HxIkTATIU2eTkZKKiorLN94yjo2OOJpd/VmSrVq2ao+0K8UJGId5A8fHxGZadPHnSCBhXrlyZtqxbt25GS0tL44MHD9KWXbt2zWhiYmJ8/uPTr18/o6urqzElJSVt2ePHj41ardb4zTffpC0bOnSo0d3d3RgWFpZu33379jU6ODik5Ro4cKBRq9Uaz549myGnwWAwGo1G44wZM4yA8d69exnWyel+crpeVnL6OmaXNSuenp7GwYMHZ/n4oUOHjECObjndb4sWLYwuLi45zijEi0hzsXgjWVlZpf1/cnIy4eHhlC1bliJFinDhwgUA9Ho9e/bsoVu3bnh6eqatX6FCBdq1a5due3369CE0NJTDhw+nLdu4cSMGg4E+ffoAqb1lN23ahK+vL0ajkbCwsLRbu3btiIqK4sKFCxgMBrZu3Yqvry+1a9fOkP1Flw7ldD85Xe91X8dXERUVRUBAQLZHlNWqVWPfvn05urm5ueVov1euXJGjWJGrpLlYvJESEhKYNm0ay5YtIygoCONzk1E9a4J88uQJCQkJeHt7Z3i+j48Pu3btSrvfvn17HBwc2LBhA61atQJSm4qrV69OuXLl0rYXGRnJokWLWLRoUaa5QkNDefLkCdHR0WlNzC/rZfaTk/Wyk5PX8VXkpNm2aNGitG7d+pX38W+PHz8mLCxMzseKXCVFVryRPvjgA5YtW8bYsWNp0KABDg4OaDQa+vbti8FgeOntWVhY0K1bN7Zs2cJvv/1GSEgIJ06c4Pvvv09b59l233nnHQYNGpTpdqpWrZquUL2KnO4np+tlJ7dfx2eeFdlq1apluU5SUhIRERE52p6LiwsmJiY52qccyYrcJEVWvJE2btzIoEGD+Omnn9KWJSYmphsswcXFBSsrK27dupXh+f7+/hmW9enThxUrVnDgwAGuX7+O0WhMayp+tj07Ozv0en22R2AGgwF7e/t0PZIzk1WzcU73o9frc7RednLyOmaXNSuXL1/G3d09rZNUZvz8/GjRokWOtnfv3j1Kly6d7TpXrlwBpMiK3CVFVryRTExMMhwxzpkzB71en26ddu3asXXrVgICAtLOy16/fp09e/Zk2Gbr1q1xdHRkw4YNXL9+nbp16+Ll5ZVuez179mTt2rVcvXo1Q3PwkydPcHFxQavV0q1bN1avXs25c+cynJc1Go1oNBpsbGwAMhS0nO4np+tlJyevI5Bl1qwEBARQokSJbNd5dk42J3JyTvby5cuYmJhQsWLFHG1TiJzQGF+3bUqIAmjQoEGsWbOGMWPGULFiRU6ePMn+/ftJSEigc+fOLF++HEj94q1Xrx6urq6MGjWKlJQU5syZQ7Fixbh8+XKGAjNs2DDWr19PXFwcM2fOZNy4cekeDwkJoV69ejx58oRhw4ZRsWJFIiIiuHDhAvv3709r/gwKCqJ27dpER0czfPhwKlSowOPHj/njjz84fvw4RYoU4ezZs9StW5eOHTvSt29fzMzM8PX1xcbGJsf7yel6r/s6Zpc1M6NGjWLJkiV8++23eHh4UKFCBWrVqvWyf+aXUr16dRITE7lx40ae7ke8YfK/Q7MQynv69KlxyJAhRmdnZ6Otra2xXbt2xhs3bhhLlSplHDRoULp1jxw5YqxVq5bR3NzcWKZMGeOCBQuMkyZNMmb28dm3b58RMGo0GmNgYGCm+w4JCTGOHj3aWLJkSaOZmZnRzc3N2KpVK+OiRYvSrffgwQPjwIEDjS4uLkYLCwtjmTJljKNHjzbqdLq0db799ltj8eLFjVqtNsOlKjndT07Xe93XMbus/xYUFGRs166d0dbW1ggYf/311xdmeR3JyclGc3Nz49tvv52n+xFvHjmSFUIIIfKIXCcrhBBC5BEpskIIIUQekSIrhBBC5BEpskIIIUQekSIrhBBC5BEpskIIIUQeKdQjPul0OnQ6Xdp9g8FAREQETk5OLz3MmxBCiDeb0WgkJiYGDw+PHM1PDIW8yE6bNo0pU6YoHUMIIUQhEhgY+MJhP58p1INR/PtINioqCk9PTy5fvoydnZ2CyYQQuenp06dKR8iSWrOpNReQ49mV8ltCQgIfffQRkZGRODg45Og5hfpI1sLCAgsLiwzL7ezspMgKUYgkJycrHSFLSUlJSkfI1PMHIGqTkJCgdIRsvczpRun4JIQQQuQRKbJCCCFEHpEiK4QQQuQRKbJCiAJFr4cff7TiX/PCq45eD7/+6lggcq5eXVb1OQ0GDZs3V8VgKFiXX0qRFUIUKAYDzJhhjcGgdJLsGQwwd64TRqO6i4LRqGHtWm/V5zQYYMuWqqr/u/+bFFkhhBAij6imyE6bNo06depgZ2eHq6sr3bp1w9/fP906iYmJjB49GicnJ2xtbenZsychISEKJRZCCCGyp5oie+TIEUaPHs2pU6fYt28fycnJtG3blri4uLR1Pv74Y3bs2MEff/zBkSNHePToET169FAwtRBCCJE11QxGsXv37nT3ly9fjqurK+fPn6dp06ZERUWxZMkS1q5dS8uWLQFYtmwZFSpU4NSpU9SvX1+J2EIIIUSWVHMk+29RUVEAODo6AnD+/HmSk5Np3bp12jrly5fH09OTkydPZroNnU5HdHR0upsQQgiRX1RZZA0GA2PHjqVRo0ZUrlwZgODgYMzNzSlSpEi6dYsVK0ZwcHCm25k2bRoODg5pt5IlS+Z1dCGEECKNKovs6NGjuXr1KuvXr3+t7Xz++edERUWl3QIDA3MpoRBCCPFiqjkn+8yYMWP4888/OXr0aLqphNzc3EhKSiIyMjLd0WxISAhubm6ZbiurCQKEEEKI/KCaI1mj0ciYMWPYsmULBw8exMvLK93jtWrVwszMjAMHDqQt8/f3JyAggAYNGuR3XCGEEOKFVHMkO3r0aNauXcu2bduws7NLO8/q4OCAlZUVDg4ODB06lHHjxuHo6Ii9vT0ffPABDRo0kJ7FQgghVEk1RXb+/PkANG/ePN3yZcuWMXjwYABmzZqFVqulZ8+e6HQ62rVrx2+//ZbPSYUQQoicUU2RNRqNL1zH0tKSefPmMW/evHxIJIQQQrwe1ZyTFUIIIQobKbJCCCFEHpEiK4QQQuQRKbJCCCFEHpEiK4QQQuQR1fQuzgs6nQ6dTpd2XyYIEEIIkZ8K9ZGsTBAghBBCSYW6yMoEAUIIIZRUqJuLZYIAIYQQSirUR7JCCCGEkqTICiGEEHlEiqwQQgiRR6TICiGEEHlEiqwQQgiRR6TICiGEEHlEVUX26NGj+Pr64uHhgUajYevWrekej42NZcyYMZQoUQIrKysqVqzIggULlAkrhBBCvICqimxcXBzVqlXLclL2cePGsXv3blavXs3169cZO3YsY8aMYfv27fmcVAghhHgxVQ1G0aFDBzp06JDl435+fgwaNIjmzZsDMHz4cBYuXMiZM2fo0qVLPqUUQgghckZVR7Iv0rBhQ7Zv305QUBBGo5FDhw5x8+ZN2rZtm+n6Op2O6OjodDchhBAivxSoIjtnzhwqVqxIiRIlMDc3p3379sybN4+mTZtmur5MECCEEEJJBa7Injp1iu3bt3P+/Hl++uknRo8ezf79+zNdXyYIEEIIoSRVnZPNTkJCAl988QVbtmyhU6dOAFStWpVLly4xc+ZMWrduneE5MkGAEEIIJRWYI9nk5GSSk5PRatNHNjExwWAwKJRKCCGEyJqqjmRjY2O5fft22v179+5x6dIlHB0d8fT0pFmzZowfPx4rKytKlSrFkSNHWLlyJT///LOCqYUQQojMqarInjt3jhYtWqTdHzduHACDBg1i+fLlrF+/ns8//5wBAwYQERFBqVKlmDp1Ku+//75SkYUQQogsqarINm/eHKPRmOXjbm5uLFu2LB8TCSGEEK+uwJyTFUIIIQoaKbJCCCFEHpEiK4QQQuQRKbJCCCFEHpEiK4QQQuQRVfUuzm06nQ6dTpd2XyYIEEIIkZ8K9ZGsTBAghBBCSYW6yMoEAUIIIZRUqJuLZYIAIYQQSirUR7JCCCGEkqTICiGEEHlEiqwQQgiRR6TICiGEEHlEiqwQQgiRR6TICiGEEHlEVUX26NGj+Pr64uHhgUajYevWrRnWuX79Ol26dMHBwQEbGxvq1KlDQEBA/ocVQgghXkBVRTYuLo5q1aoxb968TB+/c+cOjRs3pnz58hw+fJjLly/z9ddfY2lpmc9JhRBCiBdT1WAUHTp0oEOHDlk+/uWXX9KxY0emT5+etuytt97Kj2hCCCHES1PVkWx2DAYDO3fupFy5crRr1w5XV1fq1auXaZPyMzqdjujo6HQ3IYQQIr8UmCIbGhpKbGwsP/zwA+3bt2fv3r10796dHj16cOTIkUyfIxMECCGEUFKBKbIGgwGArl278vHHH1O9enU+++wzOnfuzIIFCzJ9jkwQIIQQQkmqOiebHWdnZ0xNTalYsWK65RUqVOD48eOZPkcmCBBCCKGkAnMka25uTp06dfD390+3/ObNm5QqVUqhVEIIIUTWVHUkGxsby+3bt9Pu37t3j0uXLuHo6Iinpyfjx4+nT58+NG3alBYtWrB792527NjB4cOHlQsthBBCZEFVRfbcuXO0aNEi7f64ceMAGDRoEMuXL6d79+4sWLCAadOm8eGHH+Lj48OmTZto3LixUpGFEEKILKmqyDZv3hyj0ZjtOu+99x7vvfdePiUSQgghXl2BOScrhBBCFDRSZIUQQog8IkVWCCGEyCNSZIUQIg9otTBmTDgaTfb9TEThpqqOT7lNp9Oh0+nS7svYxUKI/GJiAh9+GEFEhNJJhJIK9ZGsjF0shBBCSYW6yMrYxUIIIZRUqJuLZexiIYQQSirUR7JCCKG0+fNLcPRoEaVjCIVIkRVCiDy0Z48zly/b8emn3gQGSsvam6ZQNxcLIYTStFojY8YEEhhowfz5JfH0TGTw4CAsLeXSnjeBFFkhhMgDmzfbARAfb8LOnc4ANG4cycmTDvTtW42tWy8pmE7kFymyQgiRB27fNgdAr9dw965V2nJX1yRatQpXKpbIZ1JkhRAiD3z6aWoh1WrjaNgwEgBn52ScnZMVTCXymxRZIYTIA3//bcE337iSlKTn2jVbAJ48McfExMgnn9ynUqU4hROK/KCq3sVHjx7F19cXDw8PNBoNW7duzXLd999/H41Gw+zZs/MtnxBC5NQXXxRj2rQQVqy4ysyZN5k58yYrVlzlq6/uMnVqGaXjiXyiqiIbFxdHtWrVmDdvXrbrbdmyhVOnTuHh4ZFPyYQQ4uUkJWl4662kDMu9vBJITtYokEgoQVXNxR06dKBDhw7ZrhMUFMQHH3zAnj176NSpU7brygQBQgildOsWQ79+JWjRwgwXl9TzsE+emLFvnxMdOoQpnE7kF1UV2RcxGAy8++67jB8/nkqVKr1w/WnTpjFlypR8SCaEEOmNHh1B27ax7Nyp5eLF1Mt5XFyS+OKLe5Qpk6BwOpFfClSR/fHHHzE1NeXDDz/M0fqff/4548aNS7sfHR0tM/EIIfKNt3cSAwfKXHdvsgJTZM+fP88vv/zChQsX0Ghydj5DJggQQgihJFV1fMrOsWPHCA0NxdPTE1NTU0xNTXnw4AGffPIJpUuXVjqeEEKko9fDr786otcrnUQoqcAcyb777ru0bt063bJ27drx7rvvMmTIEIVSCSFE5gwGmDvXib597wAyTvGbSlVFNjY2ltu3b6fdv3fvHpcuXcLR0RFPT0+cnJzSrW9mZoabmxs+Pj75HVUIIYR4IVUV2XPnztGiRYu0+886LQ0aNIjly5crlEoIIYR4Naoqss2bN8dozHmzyv379/MujBBCCPGaCkzHJyGEEKKgkSIrhBBC5JFXKrIxMTG5nUMIIYQodF6pyDZp0oTg4ODcziKEEEIUKq9UZGvUqEG9evW4ceNGuuWXLl2iY8eOuRIsN+h0OqKjo9PdhBBCiPzySkV22bJlDB48mMaNG3P8+HFu3rxJ7969qVWrFiYmJrmd8ZVNmzYNBweHtJuMWyyEECI/vfIlPFOmTMHCwoI2bdqg1+tp1aoVJ0+epG7durmZ77XIBAFCCCGU9EpFNiQkhO+//57FixdTsWJFbty4weDBg1VVYEEmCBBCCKGsV2ou9vLy4ujRo/zxxx+cP3+eTZs2MXz4cGbMmJHb+YQQQogC65WOZJcuXUrfvn3T7rdv355Dhw7RuXNn7t+/z7x583ItoBBCCFFQvdKR7PMF9pmaNWvi5+fHwYMHXzuUEEIIURjk6ohPpUuXZvHixbm5SSGEEKLAypUiGxMTw6JFi6hXrx7NmzfPjU0KIYQQBd5rFdmjR48yaNAg3N3d+eqrryhRosRLzaIjhBBCFGYvXWSDg4P54Ycf8Pb2pmPHjqSkpPD777/z6NEjpkyZ8lphjh49iq+vLx4eHmg0GrZu3Zr2WHJyMhMmTKBKlSrY2Njg4eHBwIEDefTo0WvtUwghhMgrL1VkfX19KVOmDMeOHWPy5MmEhISwZs0aOnbsiKmpKRqN5rXCxMXFUa1atUx7J8fHx3PhwgW+/vprLly4wObNm/H396dLly6vtU8hhBAir7zUJTw7d+6kf//+jB07ltq1a+d6mA4dOtChQ4dMH3NwcGDfvn3pls2dO5e6desSEBCAp6dnrucRQgghXsdLHcn6+flhZWVFy5Yt8fHx4ZtvvuHOnTt5le2FoqKi0Gg0FClSJNPHZYIAIYQQSnqpIlu/fn0WL17M48ePmTBhAnv37qVcuXLUr1+fOXPmEBISklc5M0hMTGTChAn069cPe3v7TNeRCQKEEEIo6ZV6F9vY2PDee+9x/Phxrl27RtOmTfn+++9p3bp1bufLVHJyMr1798ZoNDJ//vws1/v888+JiopKuwUGBuZLPiGEEAJy4TpZHx8fpk+fzsOHD9m8eTOdOnXKjVxZelZgHzx4wL59+7I8ioXUCQLs7e3T3YQQQoj88lJFduLEiZw/fz7Tx0xMTOjWrRvbt2/PlWCZeVZgb926xf79+3FycsqzfQkhhBCv66V6Fz98+JAOHTpgbm6Or68vXbp0oVWrVpibm+dKmNjYWG7fvp12/969e1y6dAlHR0fc3d3p1asXFy5c4M8//0Sv1xMcHAyAo6NjrmUQQgghcstLHckuXbqU4OBg1q1bh52dHWPHjsXZ2ZmePXuycuVKIiIiXivMuXPnqFGjBjVq1ABg3Lhx1KhRg4kTJxIUFMT27dt5+PAh1atXx93dPe3m5+f3WvsVQggh8sJLT3Wn1Wpp0qQJTZo0Yfr06Vy/fp0dO3awcOFChg8fTt26denSpQv9+vWjePHiL7Xt5s2bZzssowzZKIQQoiB57Y5PFSpU4NNPP+XEiRMEBAQwaNAgjh07xrp163IjnxBCCFFgvdKk7ZDaCSk4OJj4+HhcXFxwdHTE1dWVoUOHMnTo0NzMKIQQQhRIL3UkGxMTw/z582nWrBn29vaULl2aChUq4OLiQqlSpRg2bBhnz57Nq6xCCCFEgZLjIvvzzz9TunRpli1bRuvWrdm6dSuXLl3i5s2bnDx5kkmTJpGSkkLbtm1p3749t27dysvcQgghhOrluLn47NmzHD16lEqVKmX6eN26dXnvvfdYsGABy5Yt49ixY3h7e+daUCGEEKKgyXGRzWlHJgsLC95///1XDpSbdDodOp0u7b5MECCEECI/vXbvYjWTCQKEEEIo6ZV7Fz/z9OlT9u7dS1BQEAAeHh60a9eOokWLvna41/X5558zbty4tPvR0dFSaIUQQuSb1zqSXbJkCQ0aNOD06dMYDAYMBgOnT5+mYcOGLFmyJLcyvjKZIEAIIYSSXutIdvr06Vy4cAEbG5t0y7/99ltq1qwp18sKIYR4o73WkaxGoyEmJibD8piYGDQazetsWgghhCjwXutIdubMmTRr1ozKlSunjVP88OFD/vnnH3766adcCSiEEEIUVK9UZGNiYrCzs6Nz58506NCBM2fO8OjRIyC141PdunUxMTHJ1aBCCCFEQfNKRbZJkybs3r0bNzc3TExMaNCgQW7nEkIIIQq8VzonW6NGDerVq8eNGzfSLb906RIdO3bMlWBCCCFEQfdKRXbZsmUMHjyYxo0bc/z4cW7evEnv3r2pVavWazUTHz16FF9fXzw8PNBoNGzdujXd40ajkYkTJ+Lu7o6VlRWtW7eWMZKFEEKo1iv3Lp4yZQrjxo2jTZs2VK5cmZiYGE6ePMmOHTteOUxcXBzVqlVj3rx5mT4+ffp0fv31VxYsWMDp06exsbGhXbt2JCYmvvI+hRBCiLzySudkQ0JC+P7771m8eDEVK1bkxo0bDB48mLp1675WmA4dOtChQ4dMHzMajcyePZuvvvqKrl27ArBy5UqKFSvG1q1b6du372vtWwghhMhtr3Qk6+XlxdGjR/njjz84f/48mzZtYvjw4cyYMSO386W5d+8ewcHBtG7dOm2Zg4MD9erV4+TJk5k+R6fTER0dne4mhBBC5JdXKrJLly7l4sWLdOrUCYD27dtz6NAhZs2axejRo3M14DPBwcEAFCtWLN3yYsWKpT32bzJBgBBCCCW9UpHNrGm2Zs2a+Pn5cfDgwdcOlVs+//xzoqKi0m6BgYFKRxJCCPEGydWp7kqXLo2fn19ubjKNm5sbkHo++HkhISFpj/2bTBAghBBCSbk+n2xeTXHn5eWFm5sbBw4cSFsWHR3N6dOnZTAMIYQQqvTa88nmptjYWG7fvp12/969e1y6dAlHR0c8PT0ZO3Ys3333Hd7e3nh5efH111/j4eFBt27dlAsthBBCZOG1i+zNmzcpU6YMpqavX6/PnTtHixYt0u4/m3B90KBBLF++nE8//ZS4uDiGDx9OZGQkjRs3Zvfu3VhaWr72voUQQojc9tqVsUKFCly/fp1y5cq9dpjmzZtjNBqzfFyj0fDNN9/wzTffvPa+hBBCiLz22udksyuKQgghxJss1zs+CSGEECKVFFkhhBAij0iRFUIIIfKIFFkhhBAij6jqOtncptPp0Ol0afdlggAhhBD5qVAfycoEAUIIIZT02kV2woQJODk55UaWXCcTBAghhFDSazcXT5s2LTdy5AkLCwssLCyUjiGEEOINVaibi4UQQgglSZEVQggh8sgrFdmYmJjcziGEEEIUOq9UZJs0aUJwcHBuZxFCCCEKlVcqsjVq1KBevXrcuHEj3fJLly7RsWPHXAkmhBBCFHSvVGSXLVvG4MGDady4McePH+fmzZv07t2bWrVqYWJiktsZhRBCiALplTs+TZkyhXHjxtGmTRsqV65MTEwMJ0+eZMeOHbmZLx29Xs/XX3+Nl5cXVlZWvPXWW3z77bcy3Z4QQghVeqXrZENCQvj+++9ZvHgxFStW5MaNGwwePJi6devmdr50fvzxR+bPn8+KFSuoVKkS586dY8iQITg4OPDhhx/m6b6FEEKIl/VKRdbLywsfHx/++OMPOnXqxO7du+nTpw8BAQGMHz8+tzOm8fPzo2vXrnTq1AmA0qVLs27dOs6cOZNn+xRCCCFe1Ss1Fy9dupSLFy+mFbv27dtz6NAhZs2axejRo3M14PMaNmzIgQMHuHnzJgB///03x48fp0OHDpmur9PpiI6OTncTQggh8ssrHcn27ds3w7KaNWvi5+eXZcHLDZ999hnR0dGUL18eExMT9Ho9U6dOZcCAAZmuP23aNKZMmZJneYQQQojs5PhINiAg4IXrlC5dGj8/PwCCgoJePVUWfv/9d9asWcPatWu5cOECK1asYObMmaxYsSLT9WWCACGEEErKcZGtU6cOI0aM4OzZs1muExUVxcaNG6lcuTKbNm3KlYDPGz9+PJ999hl9+/alSpUqvPvuu3z88cdZTlJgYWGBvb19upsQQgiRX3LcXHzt2jWmTp1KmzZtsLS0pFatWnh4eGBpacnTp0+5du0a//zzDzVr1mT69Ol5MihFfHw8Wm363wUmJiYYDIZc35cQQgjxunJcZJ2cnPj555+ZOnUqO3fu5Pjx4zx48ICEhAScnZ0ZMGAA7dq1o3LlynkW1tfXl6lTp+Lp6UmlSpW4ePEiP//8M++9916e7VMIIYR4VS/d8cnKyopevXrRq1evvMiTrTlz5vD1118zatQoQkND8fDwYMSIEUycODHfswghhBAv8tqTtucnOzs7Zs+ezezZs5WOIoQQQryQzCcrhBBC5BEpskIIIUQekSIrhBBC5BEpskIIIUQekSIrhBBC5JEC1bv4Zel0OnQ6Xdp9mSBACCFEfirUR7LTpk3DwcEh7VayZEmlIwkhhHiDFOoiKxMECCGEUFKhbi62sLDAwsJC6RhCCCHeUIX6SFYIIYRQkhRZIYQQIo9IkRVCCCHyiBRZIYQQIo9IkRVCCCHyiBRZIYQQIo8UuCIbFBTEO++8g5OTE1ZWVlSpUoVz584pHUsIIYTIoEBdJ/v06VMaNWpEixYt+Ouvv3BxceHWrVsULVpU6WhCCCFEBgWqyP7444+ULFmSZcuWpS3z8vJSMJEQQgiRtQLVXLx9+3Zq167N22+/jaurKzVq1GDx4sVZrq/T6YiOjk53E0IIIfJLgSqyd+/eZf78+Xh7e7Nnzx5GjhzJhx9+yIoVKzJdXyYIEEIIoaQCVWQNBgM1a9bk+++/p0aNGgwfPpxhw4axYMGCTNeXCQKEEEIoqUAVWXd3dypWrJhuWYUKFQgICMh0fQsLC+zt7dPdhBBCiPxSoIpso0aN8Pf3T7fs5s2blCpVSqFEQgghRNYKVJH9+OOPOXXqFN9//z23b99m7dq1LFq0iNGjRysdTQghhMigQBXZOnXqsGXLFtatW0flypX59ttvmT17NgMGDFA6mhBCCJFBgbpOFqBz58507txZ6RhCCCHECxWoI1khhBCiIJEiK4QQQuQRKbJCCCFEHpEiK4QQQuQRKbJCCCFEHilwvYtfhk6nQ6fTpd2XCQKEEELkp0J9JCsTBAghhFBSoS6yMkGAEEIIJRXq5mILCwssLCyUjiGEEOINVaiPZIUQQgglSZEVQggh8ogUWSGEECKPSJEVQggh8ogUWSGEECKPSJEVQggh8kiBLrI//PADGo2GsWPHKh1FCCGEyKDAFtmzZ8+ycOFCqlatqnQUIYQQIlMFssjGxsYyYMAAFi9eTNGiRZWOI4QQQmSqQBbZ0aNH06lTJ1q3bp3tejqdjujo6HQ3IYQQIr8UuGEV169fz4ULFzh79uwL1502bRpTpkzJh1RCCCFERgXqSDYwMJCPPvqINWvWYGlp+cL1ZYIAIYQQSipQR7Lnz58nNDSUmjVrpi3T6/UcPXqUuXPnotPpMDExSXtMJggQQgihpAJVZFu1asWVK1fSLRsyZAjly5dnwoQJ6QqsEEIIobQCVWTt7OyoXLlyumU2NjY4OTllWC6EEEIorUCdkxVCCCEKkgJ1JJuZw4cPKx1BCCGEyJQcyQohhBB5RIqsEEIIkUekyAohhBB5RIqsEKJA0Wph/Ph4tPLtlSs0GiP9+99CozEqHSVbWi107365wP3dC3zHp+zodDp0Ol3afRm7WIiCz8QEJkxIUDpGoWFiAu+8c1vpGC+k1Rrp0eOy0jFeWgH7TfBypk2bhoODQ9qtZMmSSkcSQgjxBinURVbGLhZCCKGkQt1cLGMXC1H4nD5tSr16KRmWP3ligl6vwc0t42NCKKVQH8kKIQqfLl3sGTbMlqSk9MvDw00YP76YMqEKOL0ebtwowvHjxTh50pWAAFulI2Xq9m0nzpzxJC7ODICYGAtiYtR9IFWoj2SFEIVPxYp6ypXT07OnPStXxlC0aGqv2PLlkwgPl0lCXtb5886sWFEOB4ckbt1yoFKlCBITTUlJ0TBu3BWKFVNHJ7ONG6vx998eeHs/4fDhstSo8ZBduyqi1Rpp3dqfDh1uKB0xU1JkhRAFzvjxCXh56fH1tWfu3Fg8PSEszART+UZ7aUuW+DBjxmlsbFIID7dg7txKTJ16lmvXijBrVhV++OGM0hEBOHu2JFOn7sLU1EB8vBljx3Zn9uwtmJun8NVXnaTICiFEburVKwkvLwMffmiL0WhJRIQJX34ZpnSsAsnKKvU8toNDEuHhlgBUrBhJZKS5krHS0WqNaLWprRZmZnpMTAyYmuoxMVH39b1SZIUQBcr8+bFp/+/lpWfr1miCg6MoUkSPpaW6v3DVqFatML79tiaVKz/l7FkXGjUKBiA21lRVBaxSpWBmzWpG+fIh/P13cVq2vMX337fBxMRI5cqPlY6XJSmyQogCxdzcyJAhtpw7Z0qRIkY0GggLs6dmzQT++98wPD2ld/HLGDrUn7NnXbh1y4E6dZ5QtWo4EREWODjo+Pnnk0rHS/POO+e5cKE4AQGO9Oz5N+bmeqpVC0KrhbJl1duCIUVWCFGgDBtmx4QJ8Sxb9n9HtBERERw5Ys3Yse5s3izXw7+MGzccWLOmLAaDBienRK5eLUp4uCVarZGRI6/h4xOldEQgtWfxtm1VMBg03L3rBMDTp1ZotUYGDjzLW2+FK5wwcwWqyE6bNo3Nmzdz48YNrKysaNiwIT/++CM+Pj5KRxNC5JPoaA1t2yZnWN6sWTxTp7ookKhg++WXKkyYcInSpWPTLX/wwJYffqjO/PnHFUqW3v/+14DRo49RsmT6ov/woQNz5zbhhx/+VChZ9grUdbJHjhxh9OjRnDp1in379pGcnEzbtm2Ji4tTOpoQIp80a5bM0KG27NplxsWLJly8aML+/TZ8+KEbDRvGKx2vwElO1lKyZGyG5Z6esSQnq6dEpKRoKV484/jzxYtHoderJ+e/Fagj2d27d6e7v3z5clxdXTl//jxNmzbNsL5MECBE4TNzZhx795qxZ485wcGpX66OjtCjRzTNm0uRfVktWwYxfnx9mjZ9jLNz6vdlWJgFR4+606pVkMLp/k/jxvf49tu21K9/n6JFU6/dffrUilOnStOo0V2F02WtQBXZf4uKSm02cHR0zPTxadOmMWXKlPyMJITIB23bJqdrMo6IiFAwTcHWv/8dGjUK4fRpV65eLQqAk5OOjz66SqlSGY9wldKt2xVq1w7g4sUS3LjhCoCjYzxDh56iRAl1nDfOjMZoNKqnj/ZLMBgMdOnShcjISI4fz/ycQWZHsiVLluTevXvY2dnlV1QhRB5TY5FNToZKlbw5fvwMpqbq+5pV42v2THi4OjsxJSQkMHz4cKKiorC3t8/Rcwrskezo0aO5evVqlgUWZIIAIYQQylLv2eJsjBkzhj///JNDhw5RokQJpeMIIfKRXg8//miFXq90ksJBr4fVq8uq/vU0GDRs3lwVg0GjdJSXUqCKrNFoZMyYMWzZsoWDBw/i5eWldCQhRD4zGGDGDGsMBqWTFA5Go4a1a70xGtVdvAwG2LKlaoH7uxeo5uLRo0ezdu1atm3bhp2dHcHBqcN/OTg4YGVlpXA6IYQQIr0CdSQ7f/58oqKiaN68Oe7u7mm3DRs2KB1NCCGEyKBAHckW0I7QQggh3lAF6khWCCGEKEikyAohhBB5RIqsEEIIkUekyAohhBB5pEB1fHpZMkGAEEIIJRXqI9lp06bh4OCQditZsqTSkYQQQrxBCnWR/fzzz4mKikq7BQYGKh1JCCHEG6RQNxfLBAFCCCGUVKiPZIUQQgglSZEVQggh8ogUWSGEECKPSJEVQggh8ogUWSFEgaLVwvjx8WhV/u2l1cKYMeFoNOqe2ESjMdK//y3V59RqoXv3y6r/u/+bxvgGTW0THR2Ng4MD9+7dw87OTuk4QohcEhERoXSELKk1m1pzAYSHhysdIVMJCQkMHz6cqKgo7O3tc/ScAvabINW8efMoXbo0lpaW1KtXjzNnzigdSQghhMigwBXZDRs2MG7cOCZNmsSFCxeoVq0a7dq1IzQ0VOloQgghRDoFrsj+/PPPDBs2jCFDhlCxYkUWLFiAtbU1S5cuVTqaEEIIkU6BGvEpKSmJ8+fP8/nnn6ct02q1tG7dmpMnT2ZY/98TBERFRQEQExOT92GFEPkmNjZW6QhZiouLUzpCpuLj45WOkKWEhASlI2TqWa6X6cpUoIpsWFgYer2eYsWKpVterFgxbty4kWH9adOmMWXKlAzLq1atmmcZhRBCFG4xMTE4ODjkaN0CVWRf1ueff864cePS7hsMBiIiInByckKj0aRbNzo6mpIlSxIYGJjjXmOF6TlqzSXPUfdz1JpLnlP4nqOGXEajkZiYGDw8PHK0LShgRdbZ2RkTExNCQkLSLQ8JCcHNzS3D+plNEFCkSJFs92Fvb5/jP0ZhfI5ac8lz1P0cteaS5xS+5yidK6dHsM8UqI5P5ubm1KpViwMHDqQtMxgMHDhwgAYNGiiYTAghhMioQB3JAowbN45BgwZRu3Zt6taty+zZs4mLi2PIkCFKRxNCCCHSKXBFtk+fPjx58oSJEycSHBxM9erV2b17d4bOUC/LwsKCSZMmvdT8s4XpOWrNJc9R93PUmkueU/ieo9ZcL/JGDasohBBC5KcCdU5WCCGEKEikyAohhBB5RIqsEEIIkUekyAohhBB5RIqsEEIIkUekyAohhBB5RIqsEG+wIUOG8NVXX6VbdvLkSTQaDZ06dVIolRCFh1wnK8QbSq/X4+bmxs6dO6lbt27a8v/85z/Ex8ezefNm7t69+1KDoQsh0pMjWSEKoRIlSvDbb7+lW+bn54e1tTUPHjxIu29mZkadOnXS1omNjWXDhg2MHTuWFi1asHz58pferhDi/0iRFaIQqlevHmfPnk27bzQaGTt2LB9//DGlSpUCYPv27fj6+qab9vH333/Hzc2NunXrMmDAAJYuXZpuguqcbFcI8X+kyApRCNWvXz9dMVy1ahWBgYF8/vnnacu2bdtGly5d0j1vyZIlDBgwAIBu3brx+PFjjhw58lLbFUL8HymyQhRC9evX5/r168TGxhIXF8cXX3zBd999h62tLQDXr1/n0aNHtGrVKu05/v7++Pn5pRVZW1tbunbtypIlS3K8XSFEelJkhSiEatWqhVar5cKFC/z444+4uLikmw5y+/bttGnTBktLy7RlS5YsoU6dOnh7e6ctGzBgAJs2bSIqKipH2xVCpCdFVohCyNramipVqrBp0yZmzpzJrFmz0Gr/7+O+bds2unbtmnY/JSWFlStX0r9//3Tbadu2LdbW1qxbty5H2xVCpFfg5pMVQuRM/fr1mTNnDl27dqV58+Zpy0NDQzl37hzbt29PW/bnn38SEhJC5cqVuXr1arrtNG3alCVLlvD+++9nu10hREZSZIUopKpVq4aZmRkzZsxIt3zHjh3UrVsXZ2fntGXPzru2adMmy+1dvnyZqlWrZrldIURGUmSFKKTWr1/PmDFjKFu2bLrlmfUq3rFjx2tvVwiRkRRZIQoRg8HAkydPWLJkCbdu3WLbtm0Z1mncuDH9+vXL9e0KITKSYRWFKEQOHz5My5YtKV++PMuWLaNevXqq3q4QhZ0UWSGEECKPSN97IYQQIo9IkRVCCCHyiBRZIYQQIo9IkRVCCCHyiBRZIYQQIo9IkRVCCCHyiBRZIbIxefLkdJOaCyHEy5AiK4TK+fn5MXnyZCIjI5WO8kKvktVoNPLNN99w7NixPMsVGBiIRqPJ0e3u3btA6ihXLi4uTJ8+nbNnzzJmzBgqVaqEjY0Nnp6e9O7dm5s3b+ZZZlE4yLCKQqicn58fU6ZMYfDgwRQpUkTpONl6law3b95k0qRJlC9fPs9yWVhYsGrVqrT7CQkJDB8+nBYtWvDee++lLddoNJQpUwaAM2fOEBYWRqdOnZg0aRInTpzg7bffpmrVqgQHBzN37lxq1qzJqVOnqFy5cp5lFwWbFFkhhKLOnz8PQM2aNfNsH66urrzzzjtp98+dOwdAp06d0i1/3q5duyhVqhSVKlVi3LhxrF27FnNz87TH+/TpQ5UqVfjhhx9YvXp1nmUXBZs0F4tC7cGDB4waNQofHx+srKxwcnLi7bff5v79+xnWPX78OHXq1MHS0pK33nqLhQsXpnt848aNaDQajhw5kuG5CxcuRKPRpJuLNSgoiPfee49ixYphYWFBpUqVWLp0aYbnBgUFMXToUDw8PLCwsMDLy4uRI0eSlJTE5MmTGT9+PABeXl5pTZrP53+Z/eRkvVd9HXOS9d/q1q3LgAEDAPD29kaj0eTL0frly5cBqFKlSpbr7Ny5k06dOgHQsGHDdAUWUvNWqlSJ69ev511QUeDJkawo1M6ePYufnx99+/alRIkS3L9/n/nz59O8eXOuXbuGtbU1AFeuXKFt27a4uLgwefJkUlJSmDRpEsWKFUvbVqdOnbC1teX333+nWbNm6fazYcMGKlWqlNZsGBISQv369dFoNIwZMwYXFxf++usvhg4dSnR0NGPHjgXg0aNH1K1bl8jISIYPH0758uUJCgpi48aNxMfH06NHD27evMm6deuYNWtW2hywLi4uL7WfnK73Oq/ji7JmZsKECUyePBmdTsfEiRMBMhTZ5ORkoqKiss33jKOjI1rti48dnhXZqlWrZvp4cHAwFy9e5JtvvslyG0ajkZCQECpVqpSjbOINZRSiEIuPj8+w7OTJk0bAuHLlyrRl3bp1M1paWhofPHiQtuzatWtGExMT4/Mfk379+hldXV2NKSkpacseP35s1Gq1xm+++SZt2dChQ43u7u7GsLCwdPvu27ev0cHBIS3XwIEDjVqt1nj27NkMOQ0Gg9FoNBpnzJhhBIz37t3LsE5O95PT9bKS09cxu6xZ8fT0NA4ePDjLxw8dOmQEcnTL6X5btGhhdHFxyfLxJUuWGK2srLJ9XVatWmUEjEuWLMnRPsWbSZqLRaFmZWWV9v/JycmEh4dTtmxZihQpwoULFwDQ6/Xs2bOHbt264enpmbZ+hQoVaNeuXbrt9enTh9DQUA4fPpy2bOPGjRgMBvr06QOkHuFs2rQJX19fjEYjYWFhabd27doRFRXFhQsXMBgMbN26FV9fX2rXrp0h+4suHcrpfnK63uu+jq8iKiqKgICALI8oAapVq8a+fftydHNzc8vRfq9cuZLtPnft2kWLFi3S/bufd+PGDUaPHk2DBg0YNGhQjvYp3kzSXCwKtYSEBKZNm8ayZcsICgrC+NzMjs+aIJ88eUJCQgLe3t4Znu/j48OuXbvS7rdv3x4HBwc2bNhAq1atgNSm4urVq1OuXLm07UVGRrJo0SIWLVqUaa7Q0FCePHlCdHT0K/dMfZn95GS97OTkdXwVL2q2BShatCitW7d+5X382+PHjwkLC8vyfGxycjL79u1j2rRpmT4eHBxMp06dcHBwYOPGjZiYmORaNlH4SJEVhdoHH3zAsmXLGDt2LA0aNMDBwQGNRkPfvn0xGAwvvT0LCwu6devGli1b+O233wgJCeHEiRN8//33aes82+4777yT5VFO1apV0xWqV5HT/eR0vezk9uv4zLMiW61atSzXSUpKIiIiIkfbc3FxeWHRe1FhP378ONHR0XTs2DHDY1FRUXTo0IHIyEiOHTuGh4dHjnKJN5cUWVGobdy4kUGDBvHTTz+lLUtMTEw3WIKLiwtWVlbcunUrw/P9/f0zLOvTpw8rVqzgwIEDXL9+HaPRmNZU/Gx7dnZ26PX6bI/ADAYD9vb26XokZyarZuOc7kev1+dovezk5HXMLmtWLl++jLu7e1onqcz4+fnRokWLHG3v3r17lC5dOtt1rly5AmRdZHfu3EnFihUzbCcxMRFfX19u3rzJ/v37qVixYo4yiTebFFlRqJmYmGQ4YpwzZw56vT7dOu3atWPr1q0EBASknZe9fv06e/bsybDN1q1b4+joyIYNG7h+/Tp169bFy8sr3fZ69uzJ2rVruXr1aobm4CdPnuDi4oJWq6Vbt26sXr2ac+fOZTgvazQa0Wg02NjYAGQoaDndT07Xy05OXkcgy6xZCQgIoESJEtmu8+ycbE7k5Jzs5cuXMTExybJI7tq1i86dO6dbptfr6dOnDydPnmTbtm00aNAgR3mEkCIrCrXOnTuzatUqHBwcqFixIidPnmT//v04OTmlW2/KlCns3r2bJk2aMGrUKFJSUpgzZw6VKlVKa158xszMjB49erB+/Xri4uKYOXNmhv3+8MMPHDp0iHr16jFs2DAqVqxIREQEFy5cYP/+/WnNn99//z179+6lWbNmDB8+nAoVKvD48WP++OMPjh8/TpEiRahVqxYAX375JX379sXMzAxfX19sbGxyvJ+crve6r2N2WTPj5eXFwYMHmT59Oh4eHlSoUCFtG8/k9jnZy5cvU7Zs2Uw7Nd27d4/r168zf/78dMs/+eQTtm/fjq+vLxERERkGn8hqQAsh5BIeUag9ffrUOGTIEKOzs7PR1tbW2K5dO+ONGzeMpUqVMg4aNCjdukeOHDHWqlXLaG5ubixTpoxxwYIFxkmTJhkz+5js27fPCBg1Go0xMDAw032HhIQYR48ebSxZsqTRzMzM6ObmZmzVqpVx0aJF6dZ78OCBceDAgUYXFxejhYWFsUyZMsbRo0cbdTpd2jrffvutsXjx4katVpvhUpWc7ien673u65hd1n8LCgoytmvXzmhra2sEjL/++usLs7yO5ORko7m5ufHtt9/O9PG5c+caHRwcjMnJyemWN2vWLNtLh4TIisZofM3eF0IIUUh07NgxbcARIXKDNBcLIcT/17x5c5o0aaJ0DFGIyJGsEEIIkUdkxCchhBAij0iRFUIIIfKIFFkhhBAijxTqjk86nQ6dTpd232AwEBERgZOT00uPTCOEEOLNZjQaiYmJwcPDI0dTKkIhL7LTpk1jypQpSscQQghRiAQGBr5wpLJnCnXv4n8fyUZFReHp6cnly5exs7PL030/ffo0T7dfEKj1NVBrLiDHA+ErQc2v26tQ679HrblA3dny47OTkpLC4cOHiYyMxMHBIUfPKdRHshYWFlhYWGRYbmdnl+dFNjk5OU+3XxAkJSUpHSFTz//wUpuEhASlI2RJzdleRWbfDWpgbm6udIQsmZmZKR0hS6am+VfOXuZ0o3R8EkIIIfKIFFkhhBAij0iRFUIIIfKIFNl8dPCgDQ8fFs7T4PHxGk6fzjh1mNr8848NiYkmSsd4obg4c+7edXrxigq7dasEer36v0b8/UtgMCid4sXu3vXCYFD/5YXBwRULRM7w8KoYDMq+P9X/6ShE/vnHgi5dPJkxw4mYmML10t+9a84HH7izfr290lGytWlTMb75piZJSep+/e/dc+THH1vyzz8vnoRcKQYD7N1bmyVLOpGcrN4fLikpWnbsaMS6da1VXRgMBi2HDrVk//53FC8M2TEYtPz999ucPDlC1TmNRg137vTj778/x2BQ7uBGva9QIfTBBxFs2xbAw4dmtGlTijVrHEhJUTpV7qhcWceqVQ/57TdHfvrJSbVHDZ9/fg9zcwNTp9YgOVm9X7iVKwczcuQJfv21CZcuFVc6Tqa0Whg2bAdGIyxe7EtSkjpbaUxNDYwatYXQ0KKsXNlOtUfeWq2Bd95ZTXS0I3v2DFJ1zpYtpxMX58KJE6MxGNT5A0ujMVKz5mRSUmy4ePFLDAZlekar869YiJUsmcIvvwTz22+P2bbNDl9fTw4dsqYwXK3s45PE778HcuSIDf/9rxtJSeorYmZmRr744iLJyVpmzKiGXq++jM9Ur/6Ijz46yoIFDTl92lPpOJkyN9czdOhOLCySWLCgK4mJ6rzEw9o6iZEjtxITY82yZR1ISVFnYbCw0NGly3wSE23466/30OvV+cPFzCyBFi2mo9PZcuzYB6rNaWqqo2bNyRiNJly4MBG9Pv8vj1JNkZ02bRp16tTBzs4OV1dXunXrhr+/f7p1EhMTGT16NE5OTtja2tKzZ09CQkIUSvx6atZMZMOGh4wZE8E337gyZEhxbtxQ7/VxOeXmpmft2odERWn56KPyREer78vM3NzAxIkXePrUglmzqqj2qBugYsUQPvnkEMuX18PPr7TScTJlampg8ODdODjEMn9+N+Lj1fk+trRMZsSI7SQnm/K//3UiOVmdhcHcPAlf34Xo9Wbs3DmUlBR1/nAxM9PRvPlPpKRYcPToWPR6deY0MUmiZs1v0WhSOH9+Cikp+Xt9tGqK7JEjRxg9ejSnTp1i3759JCcn07ZtW+Li4tLW+fjjj9mxYwd//PEHR44c4dGjR/To0UPB1K9Ho4FOnWLZvfsBDRvG8847JfjiC1dCQ9VXmF6Gra2BBQseUaJEIsOHV+LRI/V96Vpa6pk8+TyBgTb89lslVbckeHuHMX78AVatqsOpU6WUjpMpExMD7767l2LFIpg3rwdxcZZKR8qUuXkKw4b9iYmJgbVrB5CUpL73JoCpaTKdOi1GqzWwY8dwkpPVmjOJ5s1/BowcPjyOlBR15tRqk6lRYypmZrGcP/8tKSn/10kzJcWC2Ni8aylS7bCKT548wdXVlSNHjtC0aVOioqJwcXFh7dq19OrVC4AbN25QoUIFTp48Sf369TNs49/DKkZHR1OyZEnu3buX5yM+vcoQX+HhJsyZ48iOHXa8914k7733FCsrVf55ciQ8PIJlyzzYtKkYP/3kT/ny8UpHAtL/baKjzZgwoR41a4bxn//cQOl5I8LDw7N87PZtJ2bObMnQoaeoUycwH1Olysl72mCAjRubc/euB6NGbcHeXp2jROn1Wv73vxbExNjRv/8aLC3VMwrY86+zXm/Cnj2DSEiwxdd3IebmyubM6j2g15tw/PgHJCdb06zZT5iZ5X/O7D47zxgMWi5fHk9ioiu1an2NmVk8Dx+2wd9/KJ6eO/D2XpPt81NSUti/fz9RUVHY2+esk6dqi+zt27fx9vbmypUrVK5cmYMHD9KqVSuePn1KkSJF0tYrVaoUY8eO5eOPP86wjcmTJ2c6QUB+FNnX4e9vwqRJ1vzzjwlffRXP228nkdWED2oe6/aZrVvtmDrVhenTg2nRIutCq9S/JTzclJEjK9K6dTjDhwdluo5aXudr14oweXItxo69QsOGoUDOvlzyk9EIa9fW4u+/PXj//Y0UKRL34icpQK/XsG5da4KDHRk5cis2Ni8uDEq8DwwGLVu2dCcysggDBqzB0jJRFbn+Ta/XsnfvQOLiHOjSZSHm5qk51ZDteQaDhlOnhuPsfAcnpw0kJdkRFNSGp08rUb3692i1+iyf+ypFVjXNxc8zGAyMHTuWRo0aUblyZQCCg4MxNzdPV2ABihUrRnBwcKbb+fzzz4mKikq7BQbm/6//V+Hjo2f9+hjmzIlj3jwrWrd24PRpdZ4/yolu3WL49dfHTJjgxrp1ORtUOz85OaUwd+4N/vrLmWXLPJSOk62KFSOZOPECs2dX4fRpV6XjZEqjgf79z1OnTgC//tqLiAh1/qA1MTHSv/8+SpYMZe7cHsTEqPM6b63WQPfum3F2DmPlyoEkJKgzp4mJgXbtVmJvH8HWraPQ6dSZU6s10qDBIry99wMQH+9BdHRZSpbcjVarJyHBmadPK5GUlDuXI6qyyI4ePZqrV6+yfv3619qOhYUF9vb26W4FSfPmyRw6FMWgQYkMHGjHmDE2hIaqtzdsdho0SGDNmocsXFiUn35yUt05UFfXJObNu86OHS4sWFBCdfmeV7nyU7766iI//VSVs2ddlI6TKY0G3n77b+rVu8Yvv/TiyRP1/biC1MuQevc+RNmyQcyZ05OoKBulI2VKqzXSpct23N0fs2LFIOLjrZWOlCmt1kDr1qtxdAxm69bRJCaqM6dGY0SjAZ2uKKGh9bGyCsHF5SwAZ8/+wMOHbTl5cjYPH7Z+7X2prsiOGTOGP//8k0OHDqWbr8/NzY2kpCQiIyPTrR8SEoKbm3ov2H9dJiYwaJCOkycjsbSEhg2LsGiRZYG8vtbbO4kNGwLZt8+WmTPVV2g9PJJYsOA6Bw868ssvnqrL97yqVSP44ouLzJhRjcuX3ZWOk6V27c7SrNkl5szpSXBwUaXjZEqjgR49jlK58l1+/bUnERG2SkfKlEZjpHPnP/H0DGDFikHExqr3B0GrVutwdQ1gy5YxJCaqsyXDYNASEVGFuLjieHruAODRoxZYWj6hSpVZVK8+jUePWr32Ea1qiqzRaGTMmDFs2bKFgwcP4uXlle7xWrVqYWZmxoEDB9KW+fv7ExAQQIMGDfI7br5zdDQyc2YcGzdGs2mTOS1bOuDnV/CakIsV07NixUP27bNl9mz1FVpX1yTmz7/G2bMOTJ9eWtWX91SvHs5nn11i3rzGqh4ZqmXLi7Rpc445c3oSFOSsdJxMaTTg6+tHnTo3mDOnF2Fh6mz10miMdOiwizJl7rJixWBiYtRZwDQaI82b/46Hxx327/+ChAT1tGQYjRru329AfHxRIiKqUqyYH5aWEcTHF8NgMCMlxYaEBFdiYrywsHgKpLYevuroVqrp+DRq1CjWrl3Ltm3b8PHxSVvu4OCAlVVq2/7IkSPZtWsXy5cvx97eng8++AAAPz+/HO0jOjoaBwcH1Xd8ehGDAdats+Dbb61p2DCWTz8Nw9U165P1ahQcbMqAAcXp1i2GDz5I7Rihpg4SUVGmfPSRD2XKJPDFF3eJjlZPtn87eNCC335rxNixR6lQQV3XjT//Nz15siI7djTi/fe34ekZqmCq7O3bV4vjx6syZsxmXFyi0j2mlveo0QgHDrTi+vWKDBy4Ar3+vtKRMpWasx1BQTVo1Woa1tbKT/qelGTF0aMfExlZHHv7G9SqNZn4+GL4+w/DyekCycn2BAW1oWjRq7i7H8LZ+RL373cjPt6d8PCqxMV5FcyOT/PnzycqKormzZvj7u6edtuwYUPaOrNmzaJz58707NmTpk2b4ubmxubNmxVMrQytFgYM0HHqVCR2dgY6dizFxo3q/OWdFTe3FFatCmLLFnsWLlRfM6KDQ2pnqMBASyZPLqvqkaGqVXvE++/78csvTbl5U53naAEaNLhG9+5HmT+/Kw8eFFM6TpbatDmf1sSt1nPJGg20anWAKlWusHz5EGJiiigdKVMaDdSosY6SJc+wb99XxMcr/1k3N0+gdevvqV79dyIiqhIRUYmHD9uj0ejx9NzFW2+tx9HxMh4eqQX24cPWPHzYltKlt+LtvfCl96eaI9n8UFiOZJ8XERHBlSsWfPSRO3XrJjBpUmiBurY2MNCUfv1KMnp0BO3a3VM6Tgbx8akjV7m4RDNu3OUsL6VS0rNLeM6dK8mSJfX57LP9lCql/BEDZH7kd+GCNxs3Nmf06M0UL66uy4+ed/BgDY4ercaHH27E0TEWUM+R7PMOHWrO5csV6NnzV6ytY5SOk8Gz1+zSpbcJDKxNmzZTsbSMVjhVqpCQeJKTbXn0qBUaTQplymwkPt6NwMCOFC36D3Z2d7h4cSIVKsynaNHrxMQ4c+LE6oJ5JCteXZUqOrZsCSAqSkvv3iW5e1edw5tlpmTJFJYuDWL2bEf27XNUOk4G1tYGZs3yJzDQhrlz1T0yVO3agfTrd54ZM1ry+LF6f0TWrHmLLl1OMH9+N0JDiygdJ0stW16kfv1rzJvXg6godfaSBWje/DBeXlfZunU0CQnqzVmt2h+4u1/hwIEJ6HTq6LRlapqAldUTXF1P8ehRKy5d+ozbtweQkmKNo+Ml7t17myJFrlG06HWMRi1JSUVeeh9SZAsJBwcDv/32mG7dounTpyQ7d6qzh2RmypVLYuHCx8yY4cXJk+prnrO11fPdd+fw9y/CwoUVVF1omza9i6/vVX78sRXh4er9wq1f/xqtW59j3rzuqr2OFqBduzNUrXqH337rTmysOoeK1GigUaNtuLvfZfv2Ueh06s1Zq9ZqnJ3vcOjQpyQnq+c6Wju7+zRuPBJHxyu4uR3Dx2cpOp0jYWG1KV9+MQDJyTaEhjZ+6W1LkS1ENBoYOjSSBQseMW2aCz/+6Iy+gPSHql49ke++u8XEiWX5+2/1/UCws0vm++/PcvGiM0uX+qi60LZr50/Tpnf58cdWREXl72DoL6N5879p2PAq8+Z1V+2RokYDXbqcoGzZIObP70ZiojpfT40Gmjf/A0fHx+zYMUK1Yx1rNFCnzjLs7II5dOi/+T5Y/4t4eu7E1fUMpqbxGAzmODufRavVk5RkR0RENeLiSr70NqXIFkK1aiWyeXMAFy5YMmyYB1FRBePPXLduNJ9/fpdPPy3HrVvq+9J1cEhi2rQznDxZjDVryiodJ1vdu1+matVHzJjRirg49Z4+aNv2LNWq3ea337qrdlIBjQZ69jyMh0eYqicV0GhSr0+1sYnmzz+HkZKizkv8UkdcWoilZRRHjqh39h4zs1jCw2vi7/8eN28O4enTSpQosfOlt1Mwvn1fkU6nIzo6Ot3tTeHqqmfVqiDc3FLo1askt2+r84vh31q2fMro0YGMHetDYKC6fuUCODrqmDbtDAcOFGfDhjJKx8nSs6ENS5WKYObMliQmqvML99n1qW+9FcT8+V1JTFTn+1SrhX79DmBvH8369X1VXMAMtG27ElPT5P8/H606Z/TSag00ajQPrVb//+ejVV9OS8tw6tX7LwD29ncoU2YDzs5nXno7hbp3cUGdICA3GY2wZIklP/xgxZw5sXTokKzKHpL/tmRJEdasKcLatYG4uWXd5q3Uv+XRIwvef78C/fsH07dv5mNnq+F11uvhxx+rExtrxuTJ5zE3Tx1dQ22TChgMsGhRQ8LCbPjPfzZhbq7OIc1SUrQsXdoJoxGGDt2JqemLRytR4n2QkmLK2rX9sbJKoGfPTWi1GXOq4f2ZkmLGjh3DsbSMp127FWk51ZAtM8nJyfz+++/Su/iZgjpBQG7SaOA//0lk+fIYPv7YlpkzrVQ9itEzQ4dG0rFjDEOHFicyUn1vUw8PHXPn3mDVKnc2blTnQP2QOizn+PF/Y2Zm4IcfqpOSos7rfbVaGDbsJHZ2OpYs6URKivqObCB1gvohQ3aRkmLCqlXtVHv9tKlpCn37riMmxo5t27piNKo1Z+q8uXFxDhw40E+1OV+H+r69clFBnyAgNzVunMLevVHs2GHORx+5ERen/jfzJ5+EU7NmIsOGeagyr6dnInPn3mDp0uJs2qTeQmtmZuSLLy4SF2fKzz9XVW1nOBMTI6NGHQdgxQr1FjAzMz3/+c+fREXZsG5da9X+aDU3T6Z//zWEhTmzc2dH1XbWMzdPwtd3ARER7hw+/LZqc76qQl1kRXqengZ27YpCq4W+fUsSGKjO80rPaDQweXIoHh4pjBnjTlKS0oky8vJKYO7cGyxZUpzNm9VbaC0sDEyadJ5Hj6z57Tf1Xu9rZmbgvfd2EhtrpeoCZmGRwogR2wkOdmTjxuaqfT0tLXUMGLCawEBP9u5tp9qcFhaJdOnyG48fl+H48W7pciYnq69vxsuQIvuGsbGB2bOD6dgxhl69SuLnp55r1TJjYgIzZgRjMGj44otiqvzSLVMmtdD+73/F2bJFvYXW2lrPt9+e49q1oqxbV1PFX7gpDB++g8ePndi0Sb0FzMoqiZEjt3H3rgfbtzdSbU5r6wTefXclt255c+hQC6XjZMnKKp6uXedx/34l/vmnCwBJSdYcOPAF1693UDjdq5Mi+wbSaGDkyKf88EMoY8e6s3Klg2q/IADMzWHevMfcumXOjBnqnMXlWaFdvFjdhdbOLpmpU89w4UIJtm2ronScLKUWsK3cvl2cP/9sqHScLNnYJDJq1FauXCnD7t11lY6TJVvbOAYOXMmVK1U5fvzlB1TILzY2MXTrNg9398tA6sw33t4H8PdvS0hIeYXTvRopsm+wFi3iWLs2kNWrizBxoqtqz9UB2Noa+N//HrFnjy0rVhRROk6mni+0O3aod6B+R8ckPvvsAIcPl2XvXp8XP0EhtrapBeziRW8OHKipdJws2dvHM3r0Fs6cqcihQ9WVjpMle/toBg5cwZkzdTl7to7ScbJkZxeJk9N9IPWAICXFAnf3KxQrdkPZYK9IiuwbrmzZZH7/PRB/f3PGjXMjOVnpRFlzcdGzeHEQ8+Y5cvCgOsY+/bcyZRL45ZcbzJ1bEj8/9R7ROjvH8emnB9i6tQpnz778KDb5xcEhjlGjtnDoUA3OnVPvD4KiRWMZOXIL+/fX5sIFb6XjZKlo0UjefXclhw835/btqkrHyZZeb0ZISHlCQipQvvxuAJ4+LUloaDn8/VsrnC7npMgKihQxsGxZEBERJqovtG+9lcwvvzxmwoRiXLumzg4R3t4J/PjjLWbPrsrly+qb9OAZD49oxo49wv/+V1/VU+Q5O0czfPgONm1qhr+/en8QuLpGMWzYDn7/vQU3b5ZQOk6WXFzC6NNnAwcP9icoSL0Dqjx9WpLAwDqUKnUKB4dHhIeX5uTJEYSGlickpCI7d04lOlq9UyY+o6oie/ToUXx9ffHw8ECj0bB169Z0j8fGxjJmzBhKlCiBlZUVFStWZMGCBcqELWRsbIwsXPiIp0/VX2gbNEjgs8/CGDHCndBQdQ7JVr16DJ98cpmpU2tw5456Lx0rV+4J//nPKWbPbsajR+rN6ekZyrvv7mH58vY8fKjO8/IApUuH8O67e1m2rANBQerN6ekZQKtWa9m16z+Eh7spHSedwEBvUlLMCAqqgbV1BKVKnSEqyp3r1zvh4XGJypW307Tpr5Qte4j4ePX+iH1GVUU2Li6OatWqMW/evEwfHzduHLt372b16tVcv36dsWPHMmbMGLZv357PSQsna2sjixalFtpPPlF3oe3ZM5quXWP47399iI9X1ds4Tb16oQwbdoOJE2vz6JH6xmJ+pk6dQLp2vcKMGS2JjFTn+MEAFSs+oFu34yxc2IXwcPWO2Fap0n26dPFj4cIuqp5h6K23LlO//i62bx9JbGwRpeMAkJRkycmTvvz111SioopTo8YGAC5d6sPTp6WIi3Pm3Ll3MRrBx2c/bm7XMRi0JCdbkJyszveuqr6dOnTowHfffUf37t0zfdzPz49BgwbRvHlzSpcuzfDhw6lWrRpnzrz8eJIic88KbXi4+gvtuHHhlCyZyMSJZVXbaat16yB69rzLV1/VISJCnc3bkDpzT926Acyc2ZKEBPVeP12v3nWaNLnMggVdVTuhAECDBv/QoMFVFizoSkKCei+Tq1LlOOXLn2H79vfR6ZTPaW6eSO/eP1O8+EWCgmqg09kQHFyB2FgXWrb8gUaNFhAb68Ljx//XM/7s2cGcP/8OO3dOIyiounLhs6CqIvsiDRs2ZPv27QQFBWE0Gjl06BA3b96kbdu2ma7/Jk8Q8DqsrY0sXpxaaP/7X/UWWq0Wvv76Dk+fmjFnjqfScbLUo8d9mjR5zFdf1SYmRr0FrE+fC3h4RPHLL81ISVHvV0ObNufw9n7IokW+JCWp9/Vs3/4MZco8Yt26fiQnqzdn/fo7cXUNUNXMPTVrrqN585nExbkQHe1B+fJ7sLGJICnJGkvL//seP3XqPyQm2lO37jIaNFiEv39b1UwI/4xqJwjQaDRs2bKFbt26pS3T6XQMHz6clStXYmpqilarZfHixQwcODDTbcgEAa8nLg769rXH1dXA998HYKbO05+EhZnw9tslGTbsKf37R71wfSUGHzca4fvvvXjwwIpff72BpWXmo2ooPTB6crKGSZNq4+CQxPjxf6P9/7U2JUXD3bvxODnFK5rvGYNBw6+/NsFo1PDhh0eJilLXhAfP6PUali7thEZj5L33dqHVvvjrVon3gF6vZf36fpibJ9Gz58YscyqR7d69ipw7146WLdcTGlqSR4/KUL36YZ4+LcalSy3o3n0OJiZ6/P2duH27BfXqLc7R6/wqCv0EAXPmzOHUqVNs376d8+fP89NPPzF69Gj279+f6foyQcDrsbGBdeuiCQ3V8t//upGizolRcHbWs2jRI2bPduLoUXWe+9RoYMKEe9SuHUVycvoxeRcvLs78+SWYOtWL5GRlP5JmZka++uoCJUvGYTCk5tTrNcyYUY3ly+vy669NVHGUq9UaGTXqBDExFqxYUVe1g6mYmBgZNGg30dE2bNrUTMU5Dbz99u9ERhZhz572qsrp5XUNH59zHDnSi/Bwd8qUuYyDQxh+fr7Uq7cTExM9KSlmJCQ4YGERg8GgrukSlf+05FBCQgJffPEFP//8M76+vlStWpUxY8bQp08fZs6cmelzZIKA12drm1ponzwx5ZNP1Ftovb2T+PnnYP77Xzf8/dX1IXvG1BSGDw/Czi71BHJIiDkLF5YgIMCSDh3CsLIyMHJkY548sVT0S87aWk///rcxNU0NsW1bKZ48seSTTw7j6BjPsmV1SUoyUfyL2Nxcz7hxh/H3d2XvXvUOrmBunsLw4du5ebMk+/bVVjpOlp5NKHD7dllOnGikdJx0qlY9RseO/6Nx4214eV3jypUmlChxi5Ilb6HXa4mOduTBgwY4Od3B1FSndNx0CkyRTU5OJjk5Ga02fWQTExMMahzQthCxtYXFi4NUX2gbN45n3LgwRozw4MkTdU6V9oxOp2HrVldu3bKmUaNISpdOZNy4B3z00RVcXBJVM0bz48fWGAwaKlSIBKBEiUhMTQ2Ym+sVL7IAtrZJjB9/kBMnqnDyZEWl42TJ1jaR99/fxrFj1Th9uoLScbJkYxPPO++s5tSpBvz9t7oGq7C0TEj7f1vbSGxtU08NPXlSkuvX62JjE0apUurrBKuOs9z/X2xsLLdv3067f+/ePS5duoSjoyOenp40a9aM8ePHY2VlRalSpThy5AgrV67k559/VjD1m8HGxsjixUEMG1acTz5x46efgjFV1bsnVd++0dy/b87773uwevVDrKxUUAkycf26Lfv3O9KhQxhHjxbl6lVbPvnkAVWqPOW33yqi05nw6JE1X311AQeH/O95ZjTCsWNuHD3qTpUqERw96s7t2y3R6Uzp1u0KK1bUISVFS2ioLR9+eAwbG+WmSHJ2jmPEiO3Mndsde/t4KlW6r1iW7Dg5RTNixHbmzUvNWaHCA6UjZapo0af077+GVasGYmMTR9myd5SOlEFqc3GXtGt8XVweUrbsNiD1vatR0SyJqjqSPXfuHDVq1KBGjRpA6nWxNWrUYOLEiQCsX7+eOnXqMGDAACpWrMgPP/zA1KlTef/995WM/cZ4VmhDQ01VfY52/PgwihVLYfx4N9UcEf7b5s2udOnyhPfee8SkSXcICbEgMNCCVau8CQ62YsSIa1SvHs7q1d6KnKdNTtZy4EBxGjQIoWvXB/zvf0ewtk5iwIDz3LnjTEiIHX37XqRs2TD++KOa4ueSixcPY8iQv1i1qi0PHqh3FKASJZ4waNBfrFjRjoAA9Q676eHxmF69NrJpUy8ePXJXOk4Grq6B9Os3jdKl/6FRo+3ExdkRHe2O0ahRVYEFlRXZ5s2bYzQaM9yWL18OgJubG8uWLSMoKIiEhARu3LjBuHHj0KjtVS3EbGyM/O9/QYSEmPLZZ+qces7EBGbODObRI1N++slJ6TgZJCdrsLPT061bKAAnThTBxkaPn19RHjyw5b//vYy1tR5Pz1hiY80wM8v/Fzk62pykJC1NmwYDcPasK46O8cTGmvPgQVFGjDiBjU0SpUtHEB9vrkjGfytX7iG9ex9i0SJfwsPV2/+ifPlAevY88v9zqvcqh7feukP79n+xbl1/IiMdlI6Tgbl5EhUqnMXePgIXl4ccPvxfVY4ApaoiKwqG1CPaR9y9a87UqS6qODf3b9bWRubPf8S2bfbs2KGuLzIzMyPOzkmMHFmBJUuKc+6cA8WLJ3L4cFG6dn2AvX0yUVFmRERYUK1a6qUp+f0aOzsnUq5cFJ98Up/Vq8ty8aITFhYp7NxZkZYtb+LgoCMmxoKICGsqVAhRJGNmata8RbNml1i0yJfERHV2gAOoU8efJk0us3ixL4mJKr02DqhW7TK1ap1n/fp+JCWp9/WsWPEs3t4HOXJknOomeZciK17Js6nnjh61ZunSIkrHyVSxYnrmzXvElCkuXL2qrg/ekCGPGDHiIXo9dO0ays2bNlStGkuVKhHo9XD3rj1BQTY4OycCypxjGjLkJv363SY5WUv79oHcv+9ImTLhVKkSjMEAAQFFCQ62p2jReMUyZqZNm3MUL/6EFSvapV2GpEZt257F3T2clSvbqzpns2ZHcHYOY/PmHhiN6s1ZpcoW7OyC8fMbqaqcUmTFK3N01LN48SMWLy7Knj22SsfJVLVqOj7/PIzRo90JD1dXj+MmTSIZNiwIH594ypWLo0mTpwD8/bcTly874uKSQO3aYYpmbNAglEGDbuLtHU3p0hHUqpV6rfn1625cu1YMR8d4qld/pGjGf9NooG/fA8TFWbF9u7ouRXmeRgP9+u0nNtaKHTvUOzG9RmOka9dtxMTYcfJkZ6XjZEmjMdKgwULi4x35+++3lY6TRoqseC2lSyczd+5jvvzSlb//VtfR4jM9e0bTpk0sH3zgTpJynWAz9ezoz9Exmc8/92bx4vJs2eKFo6OOjh1TC5rSzbDPrpqzt0/k11+bsn59DXbtqoCDQyItW94ElM/4b+bmeoYO/ZOLF705dUq9l/Y8y3nhQjlOnVLvpT1mZsn06bOeGzfqcOOGeq9JNjVNolmzWdy925h799TxA0uKrHhttWsnMnlyKO+/70FAgAqv6wEmTAjD1NTI1KnqnDe1Z89Qvv32Nu7u8YwYcY2GDUOwsUlR1eUIbdrcZMQIPxwd4xkw4Dxt2vij12tVlfF5Dg7xDBv2J1u3Nub27eJKx8nSs5zbtjXhzh0PpeNkyd4+hk6dFnP0aE8eP/ZSOk6WrK2f0qzZbM6dG8iTJ2WVjlO4i6xMEJB/OneOZdCgSIYPL05UlPreVmZm8Msvjzl2zIYtW9R56USNGjF07hyAs3MiH33UkNOnXVVXvCpVCqFtW388PKIJDrbjs898CQ5WV8ey55Uo8YT+/fezbFkHwsLU10P2mRIlntC3736WLu3I06dFlY6TpWLFAmnRYgO7dg0lOlq9OZ2c7lKnzlKOHh1LbKyyVxiodoKA3CATBOQvoxHGjrXh/n0Tfv89mrg4ZQe7z8yNG+YMGFCcGTNuUr16jNJxsnTunD1ffOHNvHnX8PZOyHZdJScV2Ly5NH/9VZKffz6JnV3GC6fDw9UxcP+OHZU4ftyLSZP2YG2dOriH0pMxZGbfvtqcPl2WoUOXYGGhruEBn3f4cDNu3KjAe+8txdw8+3MwSr7Op0934M6dqvTqNSvTnC+brdBPEPCyZIKA/KXRwMyZcZiZGfn4Y1vVnacDKF8+ic8/v8sXX5QlJES9lyTUrh3N6NEBjB/vQ3i4ei/x6N79PpUrP2XatBqkpKjssPs5nTv/Q5ky4cyd2wS9Xr05W7c+h7v7YzZu7CU9jnNB3bq7KVo0lL17ByqWs1AXWZkgIP+ZmcHSpbFcuWLCnDnquzAcoGXLp3Tt+oRPPy1HYqJ6PwJduz6hZcuI/59TnV9kGg2MGvUPer2GBQsqqvKHFaTmfO+90+h0pqxdW0vpOFnSaMDXdweJiZbs25f5PNlqoNFA165biYmx48CBVkrHyZJGY6R169XExRVRrGe0er9hRIFlb29k3boYfv/dgc2b1dksP2zYQ1xckvj+ey/VFgaA0aMDKFo0malTy6g2p5mZkS+/vMjFi05s315K6ThZMjMz8NFHR7hwoQQHDngrHSdLpqYp9OmznuvXK3D+fE2l42TJzCyFvn3Xc/lyVf7+u5rScbJkZpZMp06LuXGjDtev53/PaCmyIk+UKGFg4cJHTJvmwqlTVkrHyUCrhSlT7nDzpg1r17opHSdLJibwzTe3uXfPiqVL1dtD1t4+mcmTz7NuXVnOnXNWOk6W7O11jBt3iI0bq+PvXyJt+bVrpbh06S0Fk6VnaxtHv37r2L+/Dffvl1Y6Tpbs7GLo23cdu3e3JyCgpNJxsmRrG0WnTos5diz/e0ZLkRV5plIlHdOnh/Dhh+7cvq2+84o2NnqmT/dn5UoPTp5Ub89Ta2sDM2bcZNMmVw4eVGcTPEDJknF8+uklZsyoRkCAOgcnAShZMooRI04QEJA6kUBKipawMAc2bGipqmtqixULoVu3Lfzxx9tERKj37+7h8Rhf3x38/nsfVY5x/Exqz+j1+d4zWoqsyFMtWsTxwQfhDB9enIgIdY24BODpqWPKlDtMnvwWjx6pczANAHf3JKZNu8W0aV7cvq2+loFnatYM5513bjF5ci1iYtR5zTRA9eqPaNPmPACmpgZ8fALw8QlUXSceH5+bNGx4gnXr+qHTqbejXsWK16hT5yzr1/cjOVl9P6if8fa+RJUqx9m5c1i+5ZQiK/Lcu+9G0axZHB984Ka6EZcA6tePonfvEL78sixJSer6kn1etWqxjBgRyGeflSM2Vn0/WJ7p3DmAqlXDmTmzmipnafq30FAHjh2rhotLJA0a/AOAXq9Fp1PHj4SGDf0oViyE7du7qva8PEDTpkcpUiSSnTs7qTpnnTp7sLN7yuHDvfMlpxRZkS++/PIJZmYwebKrKj+AgwcHYWen59dfPZWOkq2ePUOpXDmWb79Vb0cojQZGjrzG06cWbNtWRek42YqMtOXCBR/0ei3t258BYNeuemzY0IJZs3pz/bryHbk0GujSZTtPnrhw8mQDpeNkSaMx0q3bVgICPDl/vrbScbKk0Rhp02Y1jx97cetWyzzfn6qK7NGjR/H19cXDwwONRsPWrVszrHP9+nW6dOmCg4MDNjY21KlTh4CAgPwPK16KqWnqiEvnzlmxYkURpeNkYGICkyff5sgRR/buVd8ctM9oNPDZZ/d4+NCSVavUN5n2MxYWBr788iL79vnw99/qGyowMDD13OH16548fuxEu3ZnMDExcOhQDfz9PWnf/gy9eh3hwIGaREbaKJw2de7U3r1/59ixpjx4oHzhz4qlZSJ9+mzgwIFWBAWpt6OehUUCHTsu5e+/+xAWViZP96WqIhsXF0e1atWYN29epo/fuXOHxo0bU758eQ4fPszly5f5+uuvsbS0zOek4lU4OBhYsOARv/3myJkz6juv6OiYwvff32LGjNLcu6e+fM9YWhqYNu0mq1e7c+6ceq/9LlYsgZEjT7BgQUNCQ9XTESox0ZSFCxsxb143bt4sSdu2ZyhSJI7z58tx9647ffsewNExhiJFYkhONsXMTK90ZACcncPw9d3Bxo29iIn5v9czPNyRW7eUH6P3mWLFQujQ4S9+/7038fHWSsfJkrPzI2rXXsmxYx+SmJh3lxqqqsh26NCB7777ju7du2f6+JdffknHjh2ZPn06NWrU4K233qJLly64uqpzLFqRUZkyyXz3XQgff+xGcLD6zitWqRLLf/7zkM8+8yYuTlUfj3Q8PXV89dU9vv66LGFh6u2wVaXKY9q3v8GvvzZFp1PH39vSMoWvv96Dqame27dLULx4ONHRVhw/XoX69a/h7h6BTmfK/fvulCsXiI1NIjqdGfHx5iQlKftvqFjxGlWqXGHr1tTvSKNRw507Zdm8uScXLtRQNNvzqla9TLly/mzd2i1tWWSkC/fvq6f3NoCX1wmKF7/IiROj8myELfV+i/yLwWBg586dlCtXjnbt2uHq6kq9evUybVJ+RiYIUKe2bePo1i2asWPVN/UcQO/eIZQtG8+0aeo97wnQtOlTfH2fMG1aDZKT1dthy9f3Ko6O8SxfXlc1r6eFhZ4RI3ZQp8517t1zY9++OpQsGUqlSvcxGDQEBrry4EExSpUKJi7OklWr2rJlS1OmT+/Po0fKnk5o3Xo/7drtBlLPL/r4+OPj409UVBFFc/1b+/Z7aNHiEJD6Y+DBgwrs3fsu//xTX+Fk6dWqtYbkZCsuX+6VJ9tX7QQBGo2GLVu20K1bNwCCg4Nxd3fH2tqa7777jhYtWrB7926++OILDh06RLNmzTJsQyYIUK+UFOjVy54KFVKYNi0eUNeA7bGxGnr18qR//0gGDoxSVbbnpaTAqFFlKV06hvffv650nCzFxpoydmxDune/R6dO2Y8hrsSkAnv2+GBmZqBly1ucP1+CO3ecsbJKpnnz2/zyS1N8fEJ5++2/2bnTjZs3S9K//35MTfWKz5IUGWnLiROViYjQ0L79X5iYGLhzpwylS9/HxEQdXbuffXZiYopy+nQH7OyeUq/eXwqnSi82tgjr1/+Xli3XU6bM1SzXS0pKYuHChYVzggDD/78WoGvXrnz88cdUr16dzz77jM6dO7NgwYJMnyMTBKiXqSksXhzDn3+as3Gj+q7/s7U1MmfOY3791YmLF9V7zt/UFD777BInTrhx+LB6O0LZ2qbw5ZcXWLHChxs3iigdJ4MyZcLZurUKv/7ahAMHyuHmFk2HDtfYuLEaxYtH8fbbfwNgYmKgSJFYzMyUL7DR0VZcuvQW4eH2NGt2BBMTA5GRDly5UpUVKwbz9GkRZQM+Jza2CFevNsTUNJk6dfYAqZdJqYWtbSTt2q3gwIEBREbm7ohl6vlXvoCzszOmpqZUrJi+Tb9ChQpZ9i6WCQLUzcXFyLJlsUyYYMO1a+o4X/c8b+8kJk16wocfuhERoY5rJjNTpEgSX3xxkd9+q8T9++rpYPRvXl6xjBz5D1On1iAyUl0/rLy9w5g6dSfNmt1h5MjjNG16l337ynP/viNDhqRe2hMba05srBVFi8Yo2uwdGloEgFu3SnLnTnFatTqPrW0sAA4OUXTrtpXq1S+ya1cnEhOVP18fH2/H7dvViY52ok6dPWi1qQdMz460dTp1/IgtWfIWNWocYNeuobk6UEWBKbLm5ubUqVMHf3//dMtv3rxJqVLq7dIusle7dgpffhnPoEF2xMSo7+3o6xtD69ZxTJxYFr06OplmqkKFSN599yZTp9YgPl69PwhatHhMo0bB/PBDddVNOWdnp6NatUfY2SWRkGDKvXuO/Oc/pwBISDDln3/cuH27BD4+AYodxep0Zixf3oFFi3z555/SNG9+ieLFwzEaNRgMGvT61B+rPj430eksSElR7r0QHp567jow0IegoLeoVWsfNjbRJCVZkpJiytWrDTlxogubNo0lMtJFsZzPq1VrP/b24Vy92ijXtqmqb7XY2FguXbrEpUuXgNRzp5cuXUo7Uh0/fjwbNmxg8eLF3L59m7lz57Jjxw5GjRqlYGrxuoYM0VG7dgqfflpMlSMEff55GPHxJvzvfyVevLKCOncOwNs7mp9/rqKaDkaZ+c9/bpCSomHFinJKR8mShUUKKSlaIiMtSUw05fJlD06dKk2jRlcoVixSsdfXwiKZMWM2odOZcedOcd566xGQ2gFKqzUCGhISLNm3rw0lSgRiaxunSM6kJHP++ONt1q3rx4MHFahdex9Fi4bw8GFZjh3rzpkz7YmISJ2Yw8oqRjVz52o00K7dCqpXP5J721RTx6fDhw/TokWLDMsHDRrE8uXLAVi6dCnTpk3j4cOH+Pj4MGXKFLp27Zqj7UdHR+Pg4CAdn1QoPh7atLGlc+cYRox4qnScDK5di2XIkMp89dVdGjWKVDpOOs93ykpMNOHjjxvQqlUQvXrdUzBV9sLCLPjoo0aMHv0PDRuGpHtMiY5PmTl92pPNm6vi5BRP6dIRlCkTRpkyl5WOleb335vToME/BAQUIypKx+PHHoSFOWNrG4utbQxt2+7FwiKJCxdqEh1tT3y8NR077sq3fImJlmzY0IeICHsGDZrCvXsVOXq0F40abaNs2b8JDCzH9ev1KFfuHKVLX8do1KDRqKYcZepVOj6pqsjmNSmy6nbxYgxvv12SX399TP36CUrHSSciIoLTpx2YOPEtVq26gqtrstKR0vy75/PDh9aMG9eASZPOU6lSpDKhcuDyZUe++64Gv/7qh5vb//291VJkAcLDrYmPN8fDI5LkZFPi40OVjpTOxYtlWbGiA1WqXKZRoxOkpJhStOhTrKxSX88NG/pgbp5EhQrXuHatElqtgS5dtv3/o9788ccfbalUyQ83twCOHOnJkyclqVHjAPfvV8bVNYAqVU4A4OfXGb3ejIQEG9q2XZ1v+V5Goe5dLAq/UqVSB6r45BM3njxRX0eoevWi6Nz5Cd9885Yqm7WfKVEinlGjrjF9enVVz4RTtWoEXbs+YPr0aqSkqKO58N+cnOIpWTKS48ffYvbsZqr7u9eocZvBg3cRHu5EYqIFHh6P0grszp2diI+3pnv3LZQv70/dumcwM0vO1wIL0KrVepydU5u1mzXbhJvbPfbtG4hGY0grsNu2vU9MjCOVKvkBcPRoD9XNiPSqpMgKVWnbNo5OnWIYN86NlBSl02Q0YsRDoqNNWb9evRO9AzRv/phq1cKZM6eyqs/P9u17BxMTI6tXeysdJVsNG94jLs6cgwdrKR0lg+rV79Cq1QEOHmxFaGjq6HcXLtTk/v3SDBjwf0eEERGOWFkloNdr8/09YWqagtGoISrKEa1WT4kS/mm9jA8ffhszsyTatVuJo2MIpUpdR6Mxqr7pOKekyArV+e9/w9DpNMyZo76B+s3NjUyZcoelS4tz65Z6x2WF1Jlw7t61Z88e9XbYMjEx8umnf7N7d0kuXVLf3/sZMzMDo0YdZ//+Wty/X0zpOBl4ed2jb9912NrGkJJiQmBgCTp23Im5eeppjbAwZ86cqYunZwAmJgZFekends4ykJRkRefO/6N58z+4dq0ejx970abNKgASE62Jj7fHyekxgKp/IOaUFFmhOubmMHt2MOvX23PkiPoKmZdXAiNGPGTSpLdITFRvk5aVlZ5PP73E0qXlCQxUfiaZrLi4JPLhh1eZObMqUVHqun72ee7uMfTocZSVK9uTkKC+nJaWOqytEzA11WMwmGBvnzqMbGRkEf78szMVKlynbNnbima0s4ukadNNAMTF2XPzZi1atVqLmVkyKSmmhIaW5NGjMjg6phZZpQf8yA1SZIUqeXik8OOPIXz6aTEeP1bfecVevUIoViyJ335T9/yz5cpF07v3HaZPr0Zysno/7g0bhtCgQYjqLz+qU+cGpUs/5vffW6g6p6VlAtu2dWPPnrYcOdIMT88AGjU6oXQsgLRmYguLeCwt4yhaNBSDQUtISGmuXm1EmTJXcHN7oHDK3KPeT10ukAkCCrbmzePp3TuasWPdSFZPZ14g9Rf2V1/dZd8+J06edFA6TrZ69LiHnV0yy5er97pUSL1+NjTUir17fZSOkiWNBnr3PkxAQDFOn66gdJwsdeiwmxo1LuDuHkzduqdp2fIgoK7mV1PTFMzNE9m6dTR79gzk9u1qlCx5kwoVzigdLVcV6kt4ZIKAgi8lBXr0sKd69RS++SY+w+NKD9x/6JA1X35ZjG3bAnBxST8klNLZnhcWZsa771Zh0qQ71K+v3gkP7t+35b//rccXX+yjVCn1XS/9zN27Tvz4Y0smT96Du3v2P96Vfq0NBkhMtMDKSpeu+VXpXM/cuFEeE5MUihULwdQ0BWvrBMLDI1TZVCyX8PyLTBBQ8JmawsKFMfz+uwWHDuXeeKK5pUWLeDp1imHCBHWOVvWMs3MyX3xxl2+/LaPqcZhLl46ld++LzJvXmMRE9V3G9UyZMuF06fIP8+Y1VnUzPMDp0xVZvLizakZV+rfy5W/g7X2ba9cq8scfvdHrNaossK9K3e+O1yQTBBQO7u5GZs2KZfRoW8LC1PfpGz8+nPBwE5YtK6J0lGw1aRJJixYRfPvtW6pqNvy3li1vUbx4FKtW1VE6SrY6dLiGvX0iGzaoZ7L0zNStewODQcvevXWVjpKtOnXOkZRkzokTjZWOkqsKdZEVhUeHDsl06pTEhx/aqq5AmJsbmTUrmPnzHbl8WflZT7IzZkwAoaHmbN+u3kk1NBoYOvQU//zjzsmT6s2p1cLw4X6cOlWaixeLKx0nSyYmBgYO3M3Ro1W5fdtD6ThZMjHR07PnRk6ebMjjx15Kx8k1UmRFgTFlShz372tZulR9haxMmWQ+/zyMcePciI1V78fK0tLIN9/cZvVqb+7eVW+/BFvbJEaOPM6KFXUJDVXv5UdFiiQyfLgfixc3IDLSSuk4WXJyiuHttw+zalU74uLU9/l5xtHxKR067GLPnoHodOp9PV+Ger8NhPgXa2tYtCiWqVOtuXFDfefrevSIpkoVHZMnq2Parqy89VYCgwbd5Mcfq5OYqN6vAB+fJ7Rte4P58xurdthFgKpVH9O48V0WLGio6vPyNWveonz5ANavb6W61qDnVa16heLFb3PoUG9V58wp9X7ChMhE5cp6Pv00gREjbNHplE6TnkYD33wTyoULVuzcqd7J0wE6dQrAwyOOZcvUe7kMQNeuV9FqjWzfXkXpKNl6++1LxMZasGdPeaWjZKtHjyMEBzty6lRFpaNkq1mzjYSGeuLvr+7z8jkhRVYUOMOHJ+LkZODHH9U3GpSdnYGpU0P49lsXVffi1Wjggw+ucuSIB5cuOSodJ0smJkZGjPBjzx4f7t1Tb04zMwMjRvixdWtVHj9WbwdLC4sUBgzYx/btjYmMVO/13ebmOlq3Xs2xYz2IjS2idJzXIkVWFDhaLcydG8eqVRacPWupdJwMGjRIoH37WH76qbTSUbLl6JjEqFH/MHt2FeLj1fuDwNU1lj59LrFwYUOSktT7lVWyZCSdOv3DokUNVHu5DEDp0iE0bHiF7du7qnqmGw+Pe1SseJIDB/oV6GZjVb1jjx49iq+vLx4eHmg0GrZu3Zrluu+//z4ajYbZs2fnWz6hHh4eBn74IY4JE9TZ0ei//w3jn39sOXBAvUdfAE2bBuPjE8X//qfuZuMWLW7h6BjP5s3VlI6SrU6drmEwaNi1S72jQQF06HCGuDgbzp6trXSUbNWrt4vY2CL8808DpaO8MlV9O8XFxVGtWjXmzZuX7Xpbtmzh1KlTeHiotzu6yHs9eyZRrVoiU6c6Kx0lA1tbI19+eZeZM0vz9Kl6jxIBRo36h9OnXTl7Vn2v4zPPLus5cqQst26pN6eJiZHhw/3YsaMyDx+qtznW1FRP9+5bOHiwFRER6v0haGqaQuvWq/Hz60p0tHpzZkdVRbZDhw589913dO/ePct1goKC+OCDD1izZg1mZuobAUjkr0mTQjl+3Jq9e9V3mUedOtE0bx6h+mZjB4dkPvjgH379tYqqJ3l3coqnX7/zLFrUEJ1Ofb3LnylePJquXa+waFFDVfeKdnMLpkGDk2zd2k3VzdvFigVStepR9u8foOrm7ayoqsi+iMFg4N1332X8+PFUqlTphevLBAGFX5EiBn74IYSJE1158kR9X7xjxgRy9aotBw8WVTpKturXD6V69TAWLlR3r9MmTe7i5hbNxo3VlY6Srfbtb2BmpufPPysrHSVbjRsfIyXFlFOn6isdJVt16uxBp7Pi8uUmSkd5aer92ZqJH3/8EVNTUz788MMcrT9t2rRMJwgQhYejoyO+vnDqVDKTJ5dg7dqYF457ml8Dozs6OuLoCNOmhTF+fBlatnyAo2P2F1LmZ7Z/++yzYPr3r8qVK2/RrFnGwfnzK5uTU/aTt3/yyU1Gj25My5ZRVK6cmjM8PDw/ouWYVmtk2LCTTJrUgTJl/qFEiTClI2Xw7D0waNBBfvnlbWrXDsXNLftJGZR8f/bqtZ3ly4dQtepjnJwy/r3VMuHBvxWYI9nz58/zyy+/sHz5cjQ5HD1aJgh4c3z1VTwPHmhZuVJ9o9k0ahRPy5ZxfPedq9JRsmVnp+eLL+7y44+liYxU7+9vJycdI0Zc5+efq6p6EgE3txh69vybNWvakJKi3q9ad/cI2rQ5y5o1bdDr1dscW6xYKA0bnlB98/a/qfcv/y/Hjh0jNDQUT09PTE1NMTU15cGDB3zyySeULl060+fIBAFvDisrmD8/lm++sebuXfW9rT/7LIzz5y1Vee74eQ0aRNGkSSQ//aTeMYMBmjd/RJky0Sxdqu5e0a1b+2NtrWPPHnUPzt+ixUVMTAwcOFBL6SjZatTID6NRw8mTDZWOkmPq+zbKwrvvvsvly5e5dOlS2s3Dw4Px48ezZ88epeMJFahWTc+YMYmMGmVLSorSadKztTXw3XehTJniytOn6v7YffhhAFeu2HHwoHp7c2o0MGbMPxw75qbqwTS0Wujffz/HjlUlIEC9LRlarZH+/fdx8GAtgoLU23tbqzXQrdtWjh1rQmiouocvfUZVn/bY2Ni0Agqpk6tfunSJgIAAnJycqFy5crqbmZkZbm5u+Pio+9esyD8ffJCAVgu//KK+wcWbNImnWbM4pk5V95eDjU1qs/GMGaVVPWpVkSJJjBp1jdmzq5CQoN4rDZycovH19WPNmjYkJ6u3edvVNYqOHU+yerW6m7edncNo1uwwW7d2R69Xb85nVJXw3Llz1KhRgxo1UudnHDduHDVq1GDixIkKJxMFhakpzJsXy2+/WXLxovq+0D7/PIwzZ6zYt0/dzcZ160bTokUE06d7qXq0nSZNgilfPpK1a2sqHSVbDRtexcEhjr/+qqd0lGw1bnwZG5tE1Tdv169/GjOzZI4dU39vY1UV2ebNm2M0GjPcli9fnun69+/fZ+zYsfmaUaifl5eBiRPj+fBDW5KTlU6TXurYxqFMnuxKVJSqPn4ZjBkTgL+/NYcPq/vyo5Ejr3HhQgn++aeY0lGypNFAv3778fOrTGCgelsytNrUnMeOVVV1s7FGY6Rr162cOtWA0FD1NsODyoqsELnl3Xd12NsbWbBAfWMbN2kST4MG8cycqd4vMQBrawPjx9/n559LExenvlaBZxwckhkw4DzLl9dT9djGRYvG0rHjKdavb6XqXrxOTjG0b3+a9etbqroXr6PjU5o2PcqOHb6qHqRCve9IIV6DVgs//RTHrFlWBAaq723+xRdh7N1ro8oJDp7XsGEUVavGMH9+CaWjZKtBg/u4uMSqfkq8xo2vYGJi4OhRdY/B3LTpZYxGDceOVVU6Srbq1z9FSoop586pt1f0K337xMTE5HYOIXJd+fJ6hgzRMWGCjerOKzo66vnsszC++qoYOp16f4UDfPzxA/budcbfX71j8Wo0MHjwGfbt81H1mMFarZE+fQ6wZ09dIiLUO+ewVmukb98D/PVXPZXnNNC58w4OHmxFbKw6/+6vVGSbNGlCcHBwbmcRItd98kk8N26YsGuXudJRMujWLQYPj2QWLFD3OU9n52RGjAhkzpzKqm7mdHWNxdf3KkuX1sOQ/cBaiipePJyGDa/yxx8tVPfj73klSoTRsOFVNm5Ud87ixR9Rrdoljh7tqXSUTL1Ska1Rowb16tXjxo0b6ZZfunSJjh075kowIXKDtTX8+GMcn31mjdoaYDQamDIllJUri3Drlvp+BDyve/dQzM31bNum7kEq2re/jk5nyuHD3kpHyVb79mcICXHk0iX15wwOduTvv8sqHSVbLVseIjTUk7t31Xe64JWK7LJlyxg8eDCNGzfm+PHj3Lx5k969e1OrVi1MTNTTQUImCBAAbdokU6dOCj/8YK10lAw8PVN4//2nfP21q6qPvrRa+OCDq6xbV5aQEPWeRzY1NfLee6f5/ffqREaq71rpZ8zNU+jd+yCbNjUlPl59Q4E+k5rzEJs2NSM+Xr0/BM3Nk2jW7HeOHOlFUpK63p+v3CNkypQpjBs3jjZt2lC5cmViYmI4efIkO3bsyM18r2XatGk4ODik3UqWLKl0JKGQqVPjWb/egsuX1fMj8JkhQ56SkKBh/Xp1nlN6xssrlo4dA/jtt0qqaz50cnJKu9WtC61aPWbDhobplv/7ll9SJ4rIeGvYMI6qVUPYs6dluuVqU758AN7egezY0UjpKNny8rqGm9t9Tp7spHSUdF6pyIaEhPDRRx/x3XffUbFiRczMzBg8eDB166rrAmaZIEA84+5uYMKEBD75xBa9Xuk06ZmawnffhTJrlhOhoeoduQigX7/bBATYcuKEm9JRsjVw4E1u3CjC6dPqvSYVoH//85w/X5IbN9R9rWf37sf4+++yBAR4Kh0lW02bbuLmzdoEB6vntMYrFVkvLy+OHj3KH3/8wfnz59m0aRPDhw9nxowZuZ3vtcgEAeJ5Q4cmYjDAunXqO2KsUkVH9+7Rqp/g3dLSwOjR/7BgQQXi4tQ75KK1tZ5Ro67x22+VSEhQX+vFM/b2Ovr3P8/Speq+xtfOLoGuXY+zY4cvKSnqfT1tbKJp0GAHBw/2Vc2Qi6+UYunSpVy8eJFOnVIPy9u3b8+hQ4eYNWsWo0ePztWAQuQWExP46adYfvnFidBQ9X1RfPRROP7+NqofYal27TCqVIlgxYpySkfJVv36oXh7R7Fqlbo7FzVqdA9Hx3h27FD3BO91617H1jaWEyfU3WxcqdJJzM0TuXixpdJRgFcssn379s2wrGbNmvj5+XHw4MHXDiVEXqleXU+XLjF8/736mhFtbIx8+uk9fvqpNLGx6vsR8Lxhw65z5Ig7N26or1Xgee+/f439+4tz86Z6W7E0Ghgy5DR795YnKEi9r6dGA5077+DkyYaEheXfOe2XpdEYadlyPefPtyYqSvlR1XL1eLp06dIsXrw4NzcpRK77+ONwzp2z4uhR9fU2btgwiho1opk3T92d9Bwdkxg06CZz5lQmJUW91846O+sYOPAWv/5aRdXX+BYrVjCu8XVyiqBRoxP8+aev6jq/Pc/RMYRq1Y5w6FBvxXPmSpGNiYlh0aJF1KtXj+bNm+fGJoXIM7a2Br788glTpriQmKi+L96xYx9w4IAjN26o70fA89q3D8TCQs/OneruDNOxYwCmpgZ27VL3D5f27a+TkGDGmTMVlI6SrYYN/YiPt+byZXUPuVi79j5iYhy5dauGojleq8gePXqUQYMG4e7uzldffUWJEiUwKv2zQYgcaN8+ltKlk1m0SH3nPx0dU3jvvUf8/HNpxX+FZ0erTW2OXbOmLFFR6r2GUqtNnaln9WpvoqLU23vb1NTIu++eZceORiQkqPf1NDHR06HDX+zf3wadTr3X+JqaptCkySaOH+9OcrJyr+dLF9ng4GB++OEHvL296dixIykpKfz+++88evSIKVOm5EVGIXKdRgMTJz5hxYoi3L+vvi/eXr1CiIoyZf9+9V03+bxy5aJp1CiE5cvV3QnKxyeK+vVDWblS3TkrVAjF2/uh6ued9fK6h6dnAEeONFU6SrZKl76Oq2sg5861USzDSxVZX19fypQpw7Fjx5g8eTIhISGsWbOGjh07Ympqikbzek1vR48exdfXFw8PDzQaDVu3bk17LDk5mQkTJlClShVsbGzw8PBg4MCBPHr06LX2Kd5cpUolM2hQJN9+66K6I0ZTUyMfffSAuXM9SUxUx6UIWRk06CZ+fsVU3bkIYPBgf44dc+POHXXn7NbtOGfOVOTxY3X/wGrbdi8XLtQiLEz5zkXZadJkC5cvNyUyUpmcL/Xp3blzJz169GDKlCkMGDAAGxubXA0TFxdHtWrVmDdvXobH4uPjuXDhAl9//TUXLlxg8+bN+Pv706VLl1zNIN4sw4c/5cEDM/bsUd9MIw0bRlGmTAKrV7srHSVbRYok0b//bRYsqKjqTjtFiybRr98d5s+voLofVc8rUiSWVq3Os2lTM1XndHCIokEDP3bvbq/ynGFUrXqUY8d6KLL/lyqyfn5+WFlZ0bJlS3x8fPjmm2+4c+dOroXp0KED3333Hd27d8/wmIODA/v27aN37974+PhQv3595s6dy/nz5wkICMi1DOLNYmlp5OuvnzB1qjOxserrBPXRRw9Yt86NkBD1nqMD6NQpgIQEUw4d8lA6SrZ8fR8QE2PO4cPq/uHSosVFnj61U/3A/I0a+REe7oS/f3mlo2Srdu19hIV5cP9+xXzf90sV2fr167N48WIeP37MhAkT2Lt3L+XKlaN+/frMmTOHkJCQvMqZqaioKDQaDUWKFMn0cZkgQOREs2bxjBjxNMOlKEYjREcr21RbunQivr5PVH9Jj6mpkREjrrF0qQ/x8eodCer/cpYnMVHNOfX06HGULVuaoNOpOWcK7drtZs+ediQnqzenmVkSjRtv4+jRHuj1+ZtTY3zN7sD+/v4sWbKEVatWERISgkajQZ8Lg8NqNBq2bNlCt27dMn08MTGRRo0aUb58edasWZPpOpMnT860M9a9e/ews7N77Yyi8NLp4NQpM2bPtmLu3FisrMIUyxIdraVt21LMnfuY2rUTMzweERGhQKrMffFFWdzddXzwQeo44WrK9rxvv62Bs3MYvXtfUjpKtn76qTmlSj2lV6+/s11PydfZaIQFC7ri5fWY9u3PZHhcLe8BoxFWrhzEW2/doXHj48DLZ0tKSmLhwoVERUXleJje1/6Z7uPjw/Tp03n48CGbN29OG2oxLyUnJ9O7d2+MRiPz58/Pcj2ZIEC8KgsLqFMnmVatkhg40I6kJOWaku3tDXz8cTjffONKSopiMXLkgw8C2LrVlfv31TXd2L/95z832L+/HCEh6jsX/7x33jnH3r0+hIaqN6dGAz16HOHw4RpERKj34EWjgQ4d/uL48cZER+dfzpcqshMnTuT8+fOZPmZiYkK3bt3Yvn17rgTLyrMC++DBA/bt25ftrwmZIEC8iuTk1P9aW8OYMYlUqJDC5cvKXg/49tvRmJsbVTm5wfPc3ZPo3z+YWbNKqbozjLt7Am3b+rNmTW2lo2SrWLFYWre+yZo1tZSOkq1ixSJp0OAqW7c2UTpKtlxdQ6lW7RL79rXNt32+VJF9+PAhHTp0oESJEowcOZK//vqLpKSkvMqWwbMCe+vWLfbv35+vc0KKN4fZc5fN7t9vxoED5hQpouz8eFotTJoUyq+/OhEWpu5xjQcMeERAgCXHjqlvoI/nde58lQcPivL33+rurNWlyxXu33fk8mV1d9Zq1+4M9+654e9fQuko2WrR4jD37nnx4EH+TIf3UkV26dKlBAcHs27dOuzs7Bg7dizOzs707NmTlStXvnbbe2xsLJcuXeLSpUtA6rnTS5cuERAQQHJyMr169eLcuXOsWbMGvV5PcHAwwcHB+VroReG0a5cZPXrYMWWKNQMG2NGjhx1jxtgwcaI1y5fHoNNpOXzYml27lGu2q1JFR/v2scycqe7rEi0tjXz0UQCzZ3uqevo2S0s9/fpdYPXq2qSkqD/nqlV1VJ4zmS7/j73zDq+iTPvwfc5J772HJPSEkBAgCZ3Qe0dBUcG+rmVddXXdb3fVdXdZXdvq2he7CEoVFQTpISGUECCkkZDeez8nOeX745hISCFAknmDc19XrgvmzJn5ZfLOPPM+71MWH2Pr1ihh2sx1hIWFmunT97N79zz0+t7Xec1nUCqVTJ48mZdffpnU1FTi4uKIjIzk/fffx8vLiylTpvDKK6+Qn59/zWJOnTpFWFgYYWHGWpNPPPEEYWFh/PWvfyU/P59vv/2WvLw8Ro0ahaenZ+tPTEzMNZ9LRuZybG0NxMaa4uKi529/q+f++9X8/veNbN1aS1ycCU884UFGhhn/+Y8zX3whncv2iSfKOHDAmvh4sdc8p06txMdHw9atAVJL6ZLIyGzs7Rv58cdhUkvpksjIbBwdG9izR/RUmVSsrNQcOSJ2XeOwsARUKh2Jib3ftu+GzXhgYCBPP/00x44dIycnh7Vr13L06FG++uqraz5WVFQUBoOh3c8nn3yCv79/h58ZDAa5KYHMDTN5spYPP6xj924zXF0NzJvXzKBBel57zZJDh0z5+utc7r23ivXri4mJsaKuTiHJmqOjo57HHy/nn/8Ur0rV5SgU8PvfZ7NtWwCVleLm+CoUcOedp9i1K5jaWrF13nHHKXbtGkFNjbj1ghUKWLHiMHv3hlNfL7JOA/Pm7SYubh4ajWWvnuu6jWxzczO5ubmkpqa2uond3Ny499572blzJ0899VSPiZSR6QsWLmxi8uRmXnvNEoMB1qyxpbBQyTff1GJvr6emRklcnCVjxzZiY2PgBquIXje33lpNXZ1SUtd1dwgIaGTSpCI2bhS7oIKfXyWjRuXz7bcjpZbSJQMGVDF2bC47doit09e3lBEjsti7N0JqKV3i45OHj08ap07N7NXzXJORra2t5d1332Xq1KnY2dnh7+9PYGAgrq6u+Pn5cf/993Py5Mne0ioj0+s880wjjz7ayLlzKuztDXzxRS0qFWg0ClJTzcjNNSUoSCOpRhMTePrpMl591UXS1KLucMcdFzl40Iv8fLHb9q1ceZbDhwdRWtqzpWJ7mhUrzhIdPZDCQnFTZQDmzz/O8eNBlJWJndExYcJ3JCZOora294L0um1kX3vtNfz9/fn444+ZOXMmO3bsICEhgbS0NGJjY3nuuefQarXMnj2buXPncvHixV4TLSPTmzg7G8jPV1JZaTRg2dlKYmKs+OgjR0aM0DBuXKPECmHatHq8vZv5/HOxU3qcnTUsWpTNp5+K3f3GxaWeqKh0tmwZJbWULnFyamTWrFS+/lraHqlXw8mplokTz/PddxOkltIl9vZlBAbGERvbe/Udum1kT548yZEjRzhx4gR/+ctfmDNnDiNHjmTw4MFERERwzz338PHHH1NUVMTSpUs5evRor4mWkelt5s9vprpawbp1Nrz8siX79lmzZEkta9ZUSy0NMK59PfNMGe+/70R1tdgpPStXZnLunDOpqWK/ECxenMjZs15kZYnd/WbhwiTS0lxJTXWVWkqXzJx5irQ0X/LzvaWW0iXh4XvIyhpBaWnvpB5128h+9dVXjBgx4qr7mZub85vf/IZ77rnnhoTJyEjN5s213HJLE48/3shjj1Uwd26d1JLaEBysYcqUej7+WOyHmLW1ltWrM/joo2FCB2vZ2DSxaNEFNm0KE1qnpWUzy5adZ9Om0ULrtLJqYvbsE+zbN0tonZaWDYwZ8xPR0Ut6Rae4yUw9gNwgQOZGsLU1sGBBE0OG6DE317dWghKJJ54oZ9cuV/LyxI3kBGOXnpISS06dEnv2NWtWCkVFtpw7J3aBiqioi9TVmXPixACppXTJpEnnqamxIy1N7BSp0NDDVFe7kpMT2OPHvuF2BJWVlezdu7c1L9bLy4s5c+bg6Ch9tZf169d32CBARuZaeeopD2bMqOf228VwF7fg5aVlxYoS3n3Xl3/8I11qOe1wcvrF9frQQwV89lkQM2eeR9WFh7uvCsp3VjHunnvS2bw5nKlTj6FStZ3alJeX94W0q2JiYmDVqni++moMY8bkSS2nU0xM9MyYsZ+ffprJkCEXUSrFajh8+ficOfMQx44tJzT0PZTKjqe0Gs21Bz3e0Ex2w4YNjB8/nri4OPR6PXq9nri4OCZMmMCGDRtu5NA9gtwgQKaneOihCv77Xyche87edVcBp0/bcf682Ck9s2eXo1IZ2L1b7IpVU6cWYm6uY98+sd3wY8bk4eDQyP79Q6SW0iVBQRcwN9cQHz9aaildMnLkeVQqHWfPjurR496QkX355Zc5ffo0r732Gk899RRPPfUUr7/+OidPnuSll17qKY3XjdwgQKanGDtWTWiomo8+kt5DcyU2NjruvTefN98cIPTal1IJDz+cwwcf+KBWi/ey0oJSCffdl8rnnw+hsVHcoDKFAm677TQ7doykoUHsQhqzZu3l0KEoNBqRdRqYNWsfBw9Oo6nJ9Opf6CY3ZGQVCgW1tbXtttfW1qKQKlNfRqaXePLJMj791IHSUvEevMuWlVBVZUJsrNgRvJGRNfj5qdmyxUNqKV0ycmQFw4ZVC18WcvDgckaMKOKnn8TuJuTnl4OPTx4xMb1fxvBGCAjIxMOjiOPHx/XYMW/IyL7yyitMnTqVFStW8Nhjj/HYY4+xfPlyoqKiePXVV3tKo4yMEAwe3My8eXW8/bZ4KR4mJgb++98Uxo0Ta824Ix5+OIfPPvOkuvqGQ0J6lXvuSWXHDn/KysQOKrvllgSio0OE7uUKMHPmPuLiIqmtFVvnvHm7CQ0922PHuy4j2zJ7XbhwIUlJSTz11FNMnTqVqVOn8oc//IGkpCQWLlzYYyJlZETh0UfL+fZbWzIze86d1FO4uzehvOyObnEd66Tt0teO4cMbmDixio8+EjuC18ennunTC/j8c7ELabi71zFu3AW+/3681FK6xMWlnJEjz3PwYJTUUrrE0bESe/uey0S5LiM7efJkioqKAGOz9vHjx7NixQpWrFjB+PHjUXUVOigj049xd9dxxx3VvPGG+L2MW1ZsmpuVaDRiLd88+GAeu3a5UVQk7hodwO23pxMT405urtjlFufMOcmFCwEUFornZbmcqVMPkZQ0gvJysXX2JNdlZMPCwoiMjCQlJaXN9oSEBObPn98jwmRkROW++yqJjbUiMVE8N6LBAImJNuze7cxbb/ny9tu+vPyyP6tXh/DZZ+I0/fbwaGLBglLhC2k4ODSxcGE2X34pdpMDa2s1U6YksHt3z60l9gY2NvWMHXuKw4ejpJbSZ1yXkf34449Zt24dkyZNIjo6mrS0NG699VbGjBkjz2Jlbnrs7PQ88EAFr70m3mw2K8uSV1/1o7DQnFWrivHzayQoqI7AwHpcXZsxGBAmAnnt2gJ++smJ3FzxXlYuZ/nyTOLjXbh0Sey1xKioM1y86E1entgFPyZMOEZa2lBKSsTW2VNcd+DTCy+8wBNPPMGsWbMIDg6mtraW2NhYdu3add1ijhw5wqJFi/Dy8kKhULBjx442nxsMBv7617/i6emJpaUlM2fOlBsRyEjCHXdUk5ZmzvHjvduL8loJCGhk7Ngazp2zRaXSU1+vIj/fgltvLWbOnDLq6lTU1YnxIuzi0szSpSVs2NA7NWN7CltbLcuXZ/HFF2Lno1pZNTF9+hl++EHs2ayVVSORkcd/NbPZ6zKyxcXF/O53v+Pvf/87QUFBmJqasm7dOiIibqx/YH19PaGhobz99tsdfv7yyy/z5ptv8t577xEXF4e1tTVz5sxBrVbf0HllZK4VCwsDjzxSzquvOgszM9T/XEzn4Ydzqa9X8cQTw6mpMWHcuGr0eli3LphXX/XnN78JoqZGDEN7112FREc7kJkp1svKlSxenEVysgMZGeJ5Ly5nypSzZGe7k5UldorU+PHHycwMoKhIbJ09wXUZ2YCAAI4cOcI333zD6dOn2bp1Kw888AD//ve/b0jMvHnz+Pvf/86yZcvafWYwGHjjjTf485//zJIlSwgJCeGzzz6joKCg3Yy3Bbl2sUxvsmJFDdXVKn76SYygGKUSGhuVHDniwLBh9TQ0KPH01FBRYcrnn3tx550FPP98BlOmVPLpp2JE9trba1m1qogPPxR7bdbKSsctt1xiy5ZQqaV0ibl5MzNnnub778WezVpYqBk/PpaDB6dJLaXXuS4j+9FHH3HmzBkWLDD24Js7dy4HDx7k9ddf5+GHH+5RgS1kZmZSVFTEzJm/dLG3t7cnMjKS2NjYDr+zfv167O3tW398fX17RZvMrxNTU3j00Qreesu5dRYpNZaWeioqTBkypIH330/i0CEnoqMd+N3vspk1y1gTuLFRibW1OHk9q1cXceqUHampYjd2X7Agh7w8B5KT3aSW0iUTJ56jqMiJ9HSxX1wiI+PIy/MRvhXejXJd2eCrV69ut2306NHExMQwb968GxbVES0pQ+7u7m22u7u7t352Jc8++yxPPPFE6/9rampkQytzXVxeSPxy7rgD3n3XhBMn3Jk/v22bnr4qdH+ltnvuMRrQ777zQq835/XXC7CwsKKx0Zr4eEtMTS2ZNy+zT7R1B1tbHWvWFPHBBz68+mqa1HI6xdxcz5IliWzZMoo//3kvIhW1u3IMLFuWxN69kwgP39epTqnG5+XMmhVPdPRsHnpoZ5vtfaWtL+jRVnf+/v7ExMT05CFvCLl2sUxvo1LBk0828O9/WwmzNttCVpYZK1bUYGFhID/fhOhoKw4etMLXtxkXF7H69t16axFJSTbCNzmIikqnosKK8+fFSYfqiKlT0ykrsyYxUWydkyadp6DAhYwMMZYveoMe7yfbWy3uPDyMC+TFxcVtthcXF7d+JiMjBcuXN9HQoGD3brGqQA0Z0sR//uPE22878f77TsTFWTJ0aBPr1lVhairWG4GlpZ61awt4/32xI41NTPQsW3aOLVtGCfdSdTmmpnqWLj3Pli2hQus0M9Mya9ZJfvhhnNA6b4R+07Q9ICAADw8P9u/f37qtpqaGuLg4xo8Xu5yYzM2NqLPZOXPqeOaZMkxMDCxYUMvKlTXceqsx+E8knS0sW1ZMdrYlZ8+KXQ1o4sRMGhtNOX1a7BeCSZMuUV9vxpkzYq95TphwgbIye9LSxL6e18sNG9m0tDS0Wm1PaKGuro6EhAQSEhIAY7BTQkICOTk5KBQKHn/8cf7+97/z7bffcv78ee666y68vLxYunRpj5xfRuZ6Wb68ifp6BT/+KNZsdtaseh58sJLIyEa8vX+5T0VaT2zB3NzA3Xfn89lnQ4V8CWhBpTKwfPk5tm4NFSbgrSNMTAwsW3aebdtE16ljzpwT/PDDeKH/7tfLDRvZwMBALl261BNaOHXqFGFhYYSFhQHwxBNPEBYWxl//+lcAnn76aR599FEeeOABwsPDqaurY8+ePVhYWPTI+WVkrhcTEzFnsy2o1QrmzPEjPV2sl4ArWbSolMpKc06dEruxe2RkFgBxcX7SCrkK48dn0dys5PRpsQM+IyOTqa21IilJ7Ot5PdywkTX04BMlKioKg8HQ7ueTTz4BjP1r//a3v1FUVIRareann35i6FCxO2TI/HpYsaKJqioFhw+LZ8gsLAysWFHDe++J7Yo1NTWwalUGmzYNFvJlpQWlEpYtO8/OnSOFniUqlQaWLk1k586RQl9PlUrP7Nkn2bs3Qmid10O/WZOVkREdExN4+OFG/vMfMasX3X13FQcOWJOVJd5LwOVMn55PaakFiYm9E0TZU4wdm4PBoCA+Xuy1xMjIbNRqE86eFTuCd+zYFKqqbEhPF/t6XiuykZWR6UFuu01DSoqK+HjxGpI7Oem49dYa3n9fbONlampg+fIsvv56kNRSukSphEWLEvn2W7FniUqlgYULk/j222ChdZqY6Jkx4zR7946VWkqPIhtZGZkexNISHnywkf/8R8w4gXvvrWTPHhsKCsTu4zp3bi4XL9qTni52bvv48VnU1ZkJnzc7adIlysutSUkRu1rVuHEXKChwIS9P7Ijoa0E2sjIyPczdd2s4etRUyCAjV1cdy5fX8vnnYrsOLSx0LF6cxddfD5RaSpeoVL/MEkXGxETP/PlJ7Noltk4zMx3Tpp0hOnqy1FJ6jJvayMoNAmSkwN7ewNq1GjZsENMte//9lfz4owslJWLPZhctyubMGRdyc8VowNAZkydnUFxsS2qq2P1Ro6LSycpy4tIlsYPfJk06T3a2H8XFYs+6u8tNbWTlBgEyUvHgg43s2WNLYaF4a7MeHlrmzCnj88/FdHE6OTnh5OSEn58dy5aV8u23ga3bOvvpK5ydndv9eHg4snJlNnv2hHX4uSiYm+uYOzdZ+NmshUUTEREnbprZ7A0b2WeeeUaogXQ5zz77LNXV1a0/ubm5UkuS+ZXg4WFg4cJaPv7YQWopHXLnnQV8/70r5eXiubQv57bbijh40ImiIrFn3fPm5ZKW5kBGhthryDNmpJGU5E5+vr3UUrokMvI4Fy8OoaJC7Fl3d7hhI7t+/XphjazcIEBGSu67r5ItW+yorBTPYeTl1cT06eV8+aWYs9kWnJ2bmTu3THidlpbGNeTNm8VeQ7a2bmbmzDR27RohtZQusbJqJCwsnujoiVJLuWHEu/tlZG4S/PyamTy5gS+/dJBaSoesXVvAzp2uVFaK59K+nDvuKOT7712pqBBbZ39ZQ54zJ4XTp30oKxN70jFhQiwXLgRTXS22zqshG1kZmV7kgQcq+ewzBxoaxCsW7OurYdKkKjZtEruLlZeXhilTKtm8WWydtrZa5s/P4ZtvxJ7N2tlpmDo1g/37x0gtpUtsbWsZOfI8MTETpJZyQ1yXka2tre1pHTIyNyUjRmgIDlazZYuYb+Pr1uWzdas71dUqqaV0yV13FbBtmzu1tWLrXLo0i2PHPCguFrPqVwvz5ydz+vQwqqvFnnVPnBhNQkIY9fVi6+yK6zKykydPpqioqKe1yMjclDzwQCUbNjjSLFafdAACAtRERlbz9ddizxIHDmxkzJgavvnGXWopXeLo2MTMmXls2RIgtZQucXJqYPToNA4cCJNaSpc4OlYxfHgKx4+Pk1rKdXNdRjYsLIzIyEhSUlLabE9ISGD+/Pk9IkxG5mYhMrIRFxcdu3fbSi2lQ+68s4CtW91Rq8VzaV/O2rUFfPONBxqN2DqXL8/iwAFvamrEjtyePj2euLgRNDaKHbk9ceIxTp0aS1OT2Do747qM7Mcff8y6deuYNGkS0dHRpKWlceuttzJmzBhUKrHdOTIyfY1CYSxn+L//OQpZO3b48AYGDmxkzx6x28sFBtYTENDI7t1i63R3b2TMmFJ++GGA1FK6xM2tikGD8jl+XOxIYze3Ery980lIGCW1lOviugOfXnjhBZ544glmzZpFcHAwtbW1xMbGsmvXrp7UJyNzUzB7dh11dUpiYqykltIht99eyFdfeQrdtg1gzZr+oXP58kx27RpAc7PYsaVRUWc4fDgUnU5s78C4cbEcPz4OvV5snR1xXSOguLiY3/3ud/z9738nKCgIU1NT1q1bR0RERE/ra4NOp+Mvf/kLAQEBWFpaMmjQIF588cUe7WkrI9MbmJjA3XdX8r//OUgtpUMmTKgCICbGQVIdV2P8+CoUCoiOdpBaSpcMH16Nh0cjhw6Jnd87eHA+1tZqzp4dLLWULhk0KAMTEy2pqcOklnLNXJeRDQgI4MiRI3zzzTecPn2arVu38sADD/Dvf/+7p/W14aWXXuLdd9/lv//9L8nJybz00ku8/PLLvPXWW716XhmZnmDFihouXLAgKUm8tSWlEm67rZCNG8U2CkqlcdYtenEKMM5mt2/3F3KJoAWFAqZNO8PBg2HC6xw/PpbY2P6XznNdRvajjz7izJkzLFiwAIC5c+dy8OBBXn/9dR5++OEeFXg5MTExLFmyhAULFuDv78/KlSuZPXs2J06c6HB/uUGAjEhYWRm4/fYqPvpIzMYBc+eWkZlpSUqKmC7tFubOLSM314LERBuppXTJuHHFqNUmJCaKHbk9atRFqqttuHRJ7BeXkSPPUVHhRH5+/2qDd10lVFavXt1u2+jRo4mJiWHevHk3LKozJkyYwAcffEBaWhpDhw7l7NmzREdH89prr3W4//r163nhhRd6TY+MTFd0VLj+kUcUhIfb0tCgw8en/cJiRUVFX0jrtKj+mjU1bN3qx6uvFrf7rK+0XQ0zMwO33lrMxo0e/POf6VLL6RSVypg3u3t3ECNHipfyePkYmDs3jZiYSMLDj3T5HanH59Sp5zl9eiojR+5p95ko4/NKuj2TzcnJueo+/v7+xMTEAJCfn3/9qjrhj3/8I6tXr2b48OGYmpoSFhbG448/zpo1azrcX24QICMabm4Gli/X8L//idnUfc2aag4csKGgQOwShsuWFXP8uAN5eeZSS+mSWbPyuHTJmdxcsQvyT5uWzoULHhQXi+0dmDjxPElJ/lRUiJkO1xHdNrLh4eE8+OCDnDx5stN9qqur2bJlC8HBwWzdurVHBF7O119/zZdffsnGjRuJj4/n008/5ZVXXuHTTz/tcH+5QYCMiDzwgJovvjCnvl5qJe1xdtaxaFEtn37qILWULrG317FgQanwJSEtLXVMm3aRPXsCpZbSJdbWTUyadIkffxwutZQusbFRM2ZMKocPh0otpdt028gmJSVhbW3NrFmz8PDwYMGCBdx///08+uij3HHHHYwePRo3Nzc++ugjXn75ZR577LEeF/uHP/yhdTY7cuRI7rzzTn7/+9+zfv36Hj+XjExvERioIyREyzffiDkLW7fO2D2otlbs9JPbbivihx9cqa4We9Y9a1YqJ074UVUlpveihTlzUjh6dCD19eIF5l1OVFQCcXEjUKvF1tlCt+8iZ2dnXnvtNQoLC/nvf//LkCFDKCsr4+LFiwCsWbOG06dPExsb22tVnxoaGlAq20pWqVToRU+ak5G5gvvvV/PhhxZCRnQOHNhMREQjX38ttufHy0vD+PFVbN3qJrWULnFyamTMmFz27x8qtZQucXevIzi4iAMHhkgtpUvc3SsZOLCA2Fixi2i0cM2vqpaWlqxcuZI33niD7du3s2fPHr744guefPJJgoODe0NjK4sWLeIf//gH33//PVlZWWzfvp3XXnuNZcuW9ep5ZWR6mtmzm1GrFRw5ImbpvXvuqeTTTx2ErLd8OWvWFPLNNx40NYk96543L5n9+4ei0YhdEW/evGT27RuGViv29Zw2rX8U0YB+1ururbfeYuXKlfz2t78lMDCQp556igcffJAXX3xRamkyMteESgX33afmgw/EdCGOHavGzU3cesstBAXV4+/fyIEDXlJL6RI/v0p8fSs5dkzsNnhDhpTi6NhAXJyf1FK6ZPDgPKyt1Zw7J3YRDehnRtbW1pY33niD7OxsGhsbycjI4O9//ztmZv3DNy8jczm33aYhOtqU/HzxbkOFwrg2+9lnDlJLuSqrVhWxc6fYRR8A5sxJZd++oULrVCiMa7P79ont2lYoYMqUsxw9GiK1lKsi3t0tI/MrwcHBwMKFGr74QswAqNmz6ygqMuHsWTH1tTBpUiUNDSacP99xbqUojBqVj1ptSmqq2GvI4eE5lJbakJkp9vUMC0ujsNCJggJnqaV0iWxkZWQkZO1ao5HVaqVW0h4zM7jttmrhZ7MmJrBwYQ67dont4lQqDUyffpGffhJ7lmhqqicqKl14nWZmOsaNSyI6eqTUUrpENrIyMhISHq7FwcHATz+JGQC1apWxOEVJidgBO3Pm5BIf70JpqZhr3C1MnZpOQoI3lZWWUkvpkmnTLnLihB91dWIvxU2ceJ5Tp4YL3RNXNrIyMhKiUMBdd2n49FMxjYOLi46ZM+vYtEnsikV2ds1MnlzI99+L3cPVzk7D2LG5HDwodpqMi0sDI0YUcuTIIKmldImLSw2DBuVz8qS4RTRuaiMrNwiQ6Q/cequGmBhT8vLEvB3vvLOKTZvsaWoSO11i0aJs9uzxFT6dZ+bMVA4eHIxWK/b1nDkzjf37hwrfu3fSpHNER4cIG1Am9mi8QdavX4+9vX3rj6+vr9SSZGTaYW9vYPFicQOgQkI0+Po2s3+/2IEwgwbV4utbx+HDYnWTcXZ2bvMTEQEuLs2kpga1+8zZWZwgnqCgIpRKA4mJYl3PKwkMzEGrVZGVFSC1lA65qY2s3CBApr9gDICyEDIACoyz2W++EbtOMBhns7t2+Qk7qwHjEsHChdl8953ogVrGWfe+fWI3SlcqDUyceJ6TJ8OlltIhN7WRlRsEyPQXxozR4uSk59Aha6mldMjs2XWUlJiRmCimvhYmTCimstKc5GQHqaV0ydSphWRn25CVJXbXm0mTLpGS4kZJidh/93HjksjIGERNjXjP+JvayMrI9BcUCli7Vs3mzWIGGJmZwfLlxXz9tdizWRMTA/PmiZ/OY26uZ9asPOEDtaytmxk/Plv4QC1razVBQUmcPj1GaintkI2sjIwg3HJLE6dOWZKfL2ZXmSVLSoiOdqSsTMx0oxbmzcslLs6N8nIx17hbWLAgl4MHvWhoEPPv3cKMGakcPjxY+ICy8PCTnD49Bp1OrHQzsa+ajMyvCDs7A3Pn1rJli3guLwBnZy1Tp1awfbvYFYscHZsYP76Y3bvFDnT09GwgMLCqH9RdrsLTs4YTJ8T2Dnh5FWBvX01ysli9e2UjKyMjEKtXV/PNN/bCBkDdemsx27e70dwsdvrJ4sXZ7N49QPg0mYULs/n++wFCB2qBMZ1H9ApQAOHhJ4QLgJKNrIyMQISEaHBw0HH0qJiBJoGB9bi7N3HkiKPUUrpk2LBqnJzUxMWJPeseO7aUujpTUlMdpJbSJWPH5lBcbEtBgdhpXCNGXKCkxI2yMnFSoWQjKyMjEAoFrFxZwzffiOkyBli6tER4lzHA3Lm57NkjtstYpYKZM/P48UcfqaV0iampnokTMzl+XOxG6aamWoKDz3PmTJjUUlrpd0Y2Pz+fO+64A2dnZywtLRk5ciSnTp2SWpaMTI+xeHENMTFWlJWJFcDRwqxZ5aSkWJObK3ZgUVRUIRcuOApfz3j27DyOHvWgsVHMv3cLU6emc+rUcLRasXWOHh3P2bOj0OnEMG9iqOgmlZWVTJw4EVNTU3bv3k1SUhKvvvoqjo5iu65kZK4FJyc9U6fWs2OHmA3Traz0zJ5dzo4dYs9mra21TJhQzL593lJL6RJPz0aGDKnm6FGxKyv5+lbj4lLNuXNiN5739CzC1raWtDQx1pD7lZF96aWX8PX15eOPPyYiIoKAgABmz57NoEFiF7GWkblWjC5je2EDYpYtK+H7712Fr2c8Z04e+/b5CF9/d/Zs8V3GAOPHXxDeZQzG2eyZM6OllgH0MyP77bffMnbsWG655Rbc3NwICwvjww8/7HR/uUGATH9lwoQG1GoF8fFiujqHDGnA21vD4cNie5GCgytQKg2cOyd2wM6ECcXk5lqTkyNmwFsLYWFpZGV5UF4ubswAwMiR58nO9qOmRnpvkNhZ0Fdw6dIl3n33XZ544gn+9Kc/cfLkSR577DHMzMxYu3Ztu/3Xr1/PCy+8IIFSGZkbQ6WC5ctr2LLFjjFj1FLLAcDJqa2huuOOenbs8GbVqs6/U1FR0cuqjFyp7XKWLKng0KFBTJ/edntfaesO5uZ6pk0rYO9eH5Yty5FaTqdYWDQzatRF4uICmT8/Tmo5bbhyDISEZJKWNp7ZszuP2emLMdCvZrJ6vZ7Ro0fzz3/+k7CwMB544AHuv/9+3nvvvQ73lxsEyPRnVqyoYc8eG+rqxHTJzp9fS3KyOZcuiV0Bav78Uo4edaSmRuyAndmz89i/3xutVuzH8vjxF4iLC0KvF3NcttDi2pZ6qUDsv+YVeHp6EhQU1GZbYGAgOTkdv/nJDQJk+jM+PlpCQzX88IP0Lq+OsLQ0sHhxrbD1lltwc2smLKyGvXvFyZ3siEGDanF1VXPmjNiBWv7+RZibN5OSInbd5UGD8lEoDFy8KO1ad78yshMnTiQ1NbXNtrS0NPz8xC73JSNzvaxcWS1smUUwVqjavt0OjUbsWc2iRaXs2iV2NDQYA7UOHRostYwuUSiMs8TYWLEDoBQKGDdO+kCtfmVkf//733P8+HH++c9/kp6ezsaNG/nggw94+OGHpZYmI9MrzJpVT1aWGenpZlJL6ZChQ5vw929i/36xA3YmTaqipMSMtDQrqaV0ydSpBaSmulFRIbbO8PAUUlL8qK21lFpKl0REJJOYGEB9vXQBhP3KyIaHh7N9+3a++uorgoODefHFF3njjTdYs2aN1NJkZHoFc3MDixbVCl0BasWKGqFn2wCmpgbmzi1j1y5XqaV0iY2NlrFjczlyROxcVBubRoKCsjh5crjUUrrE3r6BoUPzOHVKusbz/crIAixcuJDz58+jVqtJTk7m/vvvl1qSjEyvsmJFNTt32tLcLLWSjlmwoI4zZywpLBQ7WWHx4lJ+/NFZ+NzeqVMzOHJkkLA50i2MG5fE8eMj+oHOCxw/HnT1HXuJfmdkZWR+bQQFNeHuriU6WkyXrI2NnunT6/j2WzEDtFoICGjEy0tDbKyD1FK6ZNiwYgwGBWlpYs+6hw3LobHRjNxcsde6g4KyqamxJj9fmsA32cjKyPQDFi2q5bvvbKSW0SlLltSyc6et8LOaefPK2L3bRWoZXaJUwoQJmcTEBEgtpUuUSgNjxqQJ7zJWqfSMHp3GqVPS6JSNrIxMP2D+/DoOHLChoUFMV+eECQ1UValITha7acDMmeUcP24vfM7sxImZxMX50dws9iM6PDyF+PihwhTj74yxY1M4fXqYJLm9Yl8ZGRkZALy8tAQGajhwQEyXsYkJLFxYK2xTgxacnbWEhdVy4IDYZRa9vGpwc6sjIUHsnFlv7zJsbRuEz5kdMKAEc/Mm0tL6PmdWNrIyMv2EhQtr+f57cY3YkiVGfVqt1Eq6Zu5c8V3GABMnXhLeZQzG2azoLmOFwqhTCpfxTW1k5QYBMjcTc+fWERNjRVWVmLdtUJAGe3sdsbFi53hOnVrJxYvWFBWJneM5blwW5855UVcnZo50C2PGpHLhgj+NjeLrPHduEBpN30bBi3m39hDr16/H3t6+9cfX11dqSTIyXeLk5NTpz+DB9kyYoOXYMfc220VBofglAEpkLCz0REVVcPCgl9RSusTeXkNgYDFxceJUtOtoXA4caM6QIeWkp4d2+LkoODvX4uNTyrlzfdsa9aY2snKDAJmbjeXLNWzbJm5w0aJFtezfb0N9vZgBWi3MnVvGgQNewkdD9xeX8aRJlzh2THydY8f2vcv4pjaycoMAmZuN+fObiY83oahITCPm5aUlOFjNvn3iphsBjBlTg1ptwsWLYjc3GDMmj9xcB0pKxL6eY8fmkpnpTFmZ2EsFo0Zd5NIlL6qr+07nTW1kZWRuNmxtDcyY0cSOHeLOZvuDy1ilgqioAg4cENtlbGamIzw8R/hZooWFltGj84SfdVtZNREUlEV8fN+VWZSNrIxMP2P58ia2bRM3yGTOHGOZxeJisXNRp08v4PBhT7RaMb0CLUycmMmxYwH9wrXdH3SOHdu30dCykZWR6WfMnNnExYsqMjPFvH1tbfVMnVrPd9+JPZsNCKjFyUlDfLzY6TzDhxfT3KwiI0PsfrgjRhRRX29OdrY4wU4dERiYTVWVDQUFfaNTzLtURkamUywsYMECsV3GS5fWCl/LGGDatALho4z7S5lFlcrAhAmZwru2TUz6tsyibGRlZPohixY1sWuXuC7jiRPrKSw0JStLuj6e3WHKlEJOnHBDrRb7UThuXDYnTvhJUhbwWhg3Lpu4uAHo9VIr6ZqwsDTOnBnSJ65tsUeWjIxMh0yd2sylS0qys8W8hc3MjGuz+/aJ7eJ0c1Pj71/LyZNid5IZMKASS8tmUlLE1hkQUI6JiZ70dLE7CAUEFKLTqSgo6H0vhph3aDf517/+hUKh4PHHH5daioxMn2JhAbNmNfPdd+LOZhcurGXvXmfhA2EmTy7kyBFPqWV0iUIBERHZQhWm6AiFAiIjszl+XGydSqUxnefCheDeP1evn6GXOHnyJO+//z4hISFSS5GRkYRFi5r4/ntxjezYsY2o1SpSUsRsatDC5MlFnDrlQkOD2NHQ48Zlc/LkAHQ6sV3GkZH9w7U9evRFLlwYgcHQuzr7pZGtq6tjzZo1fPjhhzg6OkotR0ZGEmbMaOLCBRNhU2VUKpgxo5y9e8V2GTs7axgypIa4OLFdsT4+VdjaqklKcpdaSpf4+Rld26mpYruM/fyKUCgM5OX1bqejfmlkH374YRYsWMDMmTO73E9uECBzM2NtDVFRTUJXV5o9u5yffnIWPhBmypRCjh4V32UcGZlNXJy/1FK6pD+5toOCLvS6y7jfGdlNmzYRHx/P+vXrr7qv3CBA5mZn4cIm9u4V18gGBtZjbq4nIUG8dJ7Li9gvWKDmzBkXTE1du2zS0Bc4Ozt3+jNnTjWnTw/A3t6lzXbRaImGFt21HRx8gaSkoF51GfcrI5ubm8vvfvc7vvzySywsrp4aIDcIkLnZmT27mYQECyoqxLyVFQqYNatc+ChjZ2ctI0fWceSI2MtPAwbU4+Ki5swZsa9ni2s7OVls17anZwEmJlpycnqv6byYd2YnnD59mpKSEkaPHo2JiQkmJiYcPnyYN998ExMTE3Q6XZv95QYBMjc79vYGIiIa2b9f3Nns7NnlHDjgJHz5wpkzja5t0ZkypaifuLZz+pHLeESvnaNfGdkZM2Zw/vx5EhISWn/Gjh3LmjVrSEhIQKUSMwBERqY3mTOnjh9/FNfIBgQ04uraxIkTYr/kTptWSXy8LdXVfdvU+1qZMqWQ2Fh3mpvFfnxHRmZx6tQAdDqxdba4jHsrGlrs3/4KbG1tCQ4ObvNjbW2Ns7MzwcG9n+8kIyMiM2bUceKEJbW14t7Os2eXs3ev2DWC7e21jB5dy+HDYruMvbwa8PRs4PRpsa+nt3cNjo4NpKWJHQvj7l6EhYWa7Gz/Xjm+uHeljIxMt3By0jNqlJqDB8XNR505s5wjRxyFL1/YX1zG/aGABhijoePjh0gto0sUChgx4gKJib3jMhZ7xHeDQ4cO8cYbb0gtQ0ZGUmbPrhM6ytjLq4lBgxqIiXGQWkqXTJlSydmzNlRVie0ynjy5iLg4N5qaxH6ER0Zmc/78QOFdxiNGXCAlJRC9vud1iv2by8jIdIsZM+o5dswKjUbc4KLp0ys4cEDsNmi2tjpGjaolOtpBaild4uHRiJdXPQkJYs+6PTxqsbev5+LF3i34cKO4upZgYaEmJ6fnXduykZWRuQnw9NTi799ETIyl1FI6Zdq0CmJiHFCrxX0RAJg6tVL4VB6A8eOLiYkRO0UGICQkg3PnBkkto0sUChg+PIWUlMAeP7ZsZGVkbhJmzKgXOpXHw6OJgIBGjh93kFpKl0yeXMmJE/Y0Nor9eJwwoZi4ODeuyFwUjpCQDM6fHyh81a/hw5NJSRne4w0txB5FMjIy3WbGjDoOHrQW+mE2fXq58C5jV9dmBg9uIC7OXmopXeLnV4eVlZakJLFn3T4+pZiY6MnJ8ZBaSpf4+OSj06koKupZnbKRlZG5SRg+vAkzMwPnzonbKH3atAqiox2FXjsGYwCU6C5jhcI4m42NFdtlrFDAyJEZnDs3UGopXaJQGBg2rOddxje1kZUbBMj8mlAojLPZn34SN5XHy6sJf/9G4uIcpJbSJVFRlURHOwpfpWr8eKORFb1nb0jIJc6fHyS8zsDAFFJShvfoMW9qIys3CJD5tWFclxXHyHZUZH/BAjXR0R6SFuG/GgMGqHFyahayscHlDB9eRVOTkpwcsWfdAwcWUF9vQXGxGH/fFq4ce2Fh1dTWOqDTBXQ4Nq+ntepNbWTlBgEyvzbGjm2ktNSErCxTqaV0ypw5tRw4YE1Tk9RKumbq1AoOHRLbeCmVMG5cCadOiT2BUCoNBAdfEt5lbGKiJygos0ejoW9qIys3CJD5tWFqClFRYs1mr2TAAC3e3lpOnrSSWkqXtKTyiO7inDChmNOnxTay0D9SeQDCw1NRKnsuevCmNrIyMr9GRE/lAZg+XewXAYDhw+sxGBSkpor9MhASUk55uTXFxWL/zYcNy6WkxJGKCrF1BgZmM21aQo8dTzayMjI3GZMnN5CYaC5sj1mA6dPrOHDAWuhZolLZ4jIWax3xSkxNDYSG5gvvMjY11REYmM358+LPZnsSce9CGRmZ68LGRk94eCOHDok7Uxw5UkNzs4KUFDOppXRJf0jlARg7Nld2GQuKbGRlZG5CZsyo56efxHXLKZXGtWOROwcBjB5dS0mJGXl55lJL6ZKQkAKys52orhZbZ1BQFtnZHtTXi62zJ5GNrIzMTUhUVD2xsVY0NYmb5zllSj1HjohtZE1MDERGVnPsmIPUUrrEwkLL8OHFnDsndiF+S8sm/P0LSUnxk1pKnyEbWRmZmxAvLy0+Ps2cPCluw4CJExu5cMGcqiqxH0MTJ1YJ36IPYNSofM6cEdvIAowYkcWFC/5Sy+gzxB7dV7B+/XrCw8OxtbXFzc2NpUuXkpqaKrUsGRkhmTKlnsOHxY2MtbHRExqq5tgxcTUCjB9fRUKCLQ0NYj8uR43KJzHRE61WbJ1BQZkkJ/uh04nrZelJxP5rXMHhw4d5+OGHOX78OPv27aO5uZnZs2dTX18vtTQZGeGIiqrn8GGx3bFTpjRw9KjYGh0dtQwe3MipU2I3DHB1rcfJqYHUVFeppXSJm1sVVlYasrLEbhjQU/QrI7tnzx7WrVvHiBEjCA0N5ZNPPiEnJ4fTp09LLU1GRjhGjVJTWqoiJ8dEaimdMmVKPUePWgndOQhg4sRK4ddlwTibTUjwkVpGlygUMGJEJklJAVJL6RP6lZG9kurqaoBO653KDQJkfs2YmsKkSQ1CBxcNG9aEUmkgJUXsaNMJE4zrsiLn9QKEheWRkCD+umxQ0K9nXVbcV9yroNfrefzxx5k4cSLBwcEd7rN+/XpeeOGFPlYmI9O3dFVUf/58Bbt2OfDYY6o22ysqKnpbVrdQKIzFMw4ftiIoSCO1nE4ZNqwBgwEuXbJl0KBaqeV0yuDBZdTWmlNUZIuHhxg6Oxqf4eGNfPyxPXq9Ly4u7Zf7RBmfPUG/nck+/PDDJCYmsmnTpk73kRsEyPzamT69iWPHTGlslFpJ50ydKvZsG4wvA+PHV3HypJvUUrpEpTIQElIg/GzW1FRPcHAhCQleUkvpdfqlkX3kkUf47rvvOHjwID4+na8/yA0CZH7teHgYGDRIR0yMuF15JkwwloGsqRH7cTRxYhUnTogdVAQt67JiG1noH+vHPYHYo/oKDAYDjzzyCNu3b+fAgQMEBPw6Fs5lZG6EmTOb2L9fXCNra6snJET8VJ7w8GouXbKjulrsUpAhIQWkpbnS2Cju3xwgNDSf5GR3NBrV1Xfux/QrI/vwww/zxRdfsHHjRmxtbSkqKqKoqIhGkX1hMjISM3NmM/v2iW0Ypkxp4MgRsY2stbWeoKBKTp1ykVpKl9jYNBEQUEFiotgpMg4Oanx8qkhKElvnjdKvjOy7775LdXU1UVFReHp6tv5s3rxZamkyMsIyZoyWigoFGRni3u6TJ9dz9KjYXXkAIiJKOXlSdhn3FKGh/UPnjSDuXdcBBoOhw59169ZJLU1GRlhMTCAqqplDh8R1HwYGNgGQmir2jHvs2BLi413Q6aRW0jWhofmcPest/EvLqFEFnD3rJbzOG6FfGVkZGZnrY8qUZo4cEdfIGqN3G4Rfl/X2bsDaWkt6utjVn3x9q1AoDOTmOkgtpUv8/SvQaEwoKrp5g1JlIysj8ytgypRmoqNNhZ6BTZjQQEyM2EZWoYDRo8uIjxd7XVahgODgQs6fFztFRqk0EBxcxPnznlJL6TVkIysj8yvA31+PnZ2Bs2fFjeScMKGBU6cshW7PBxAWJr6RBRg5srBfGK+RIwv6hc7rRTayMjK/AhQK42z26FFxXcbu7jp8fJo5f95WaildEhpaTlqaPQ0NYhfMCw4uJC3NVfgUmeDgQpKT3WluvjnN0c35W8nIyLRD9HVZgIkTGzhxQuz1OVtbLYMG1XDuXOflLEXAzk6Dt3c1KSnuUkvpEienRlxc6rl4Ufyo7evhpjaycoMAGZlfmDy5mRMnTFGrpVbSORMmNHDihNhBRWBclz19WnYZ9xT9Ref1cFMb2fXr12Nvb9/64+vrK7UkGRnJcHMz4O+v48QJcd2c4eGNZGRYUV0ttoszLKyMM2fEMbLOzs4d/kycWE9ysk+Hn4mEcV1W7CCt6+WmNrJygwAZmbaIvi5rbW1gxIg6Tp8WezY7bFg1VVVmFBZaSi2lSwIDKykttaSszEJqKV0ybFgJhYV2VFeL3fLweripjazcIEBGpi39YV02PLxa+HVZExMDoaHlQs1mO8LU1MDIkRXCR0Obm+sYOrSExMSbz2V8UxtZGRmZtkyYoCUx0UTojjcREdX9ZF22XHjjBS15vWK5hzsiOLhQNrIyMjL9G1tbAyEhWk6cENfNOXx4PTU1JuTlie06HD26jLNnndHpxM7rHT26lDNnxC8FGRJiLJ5xs5VYlI2sjMyvjClTmomNFbeykokJjBlTI/xs1tOzAVvbZtLSxNbp7d2ApaWWjAyxdfr4VAEIXwryWlEYDDfbe0Pn1NTUYG9vT2ZmJra2Yie8y8j0FhUVCmprK7G11UstpUMqKiooLTXFzk6LublYj6eKioo2/y8utsDFRY1K7GDoDnWWl5dLJ6gTysqscXKqp6qq4uo7S4BareaZZ56hurq62zE+4sbyy8jI9ApOTgZATAPbgqtrs9QSuoW7u8BJx5fRX3S6uNRLLaHHkd3FMjIyMjIyvUS/NLJvv/02/v7+WFhYEBkZyYkTJ6SWJCMjIyMj045+Z2Q3b97ME088wXPPPUd8fDyhoaHMmTOHkpISqaXJyMjIyMi0od8Z2ddee43777+fu+++m6CgIN577z2srKz46KOPpJYmIyMjIyPThn4V+NTU1MTp06d59tlnW7cplUpmzpxJbGxsu/01Gg0ajab1/9XV1QDU1tb2vlgZGYGpq6uTWkKn1NeLG/zS0NAgtYQeo7GxUWoJnaIWtItFi65rScrpV0a2rKwMnU6Hu3vb1k3u7u6kpKS023/9+vW88MIL7baHhIT0mkYZGRkZmZub2tpa7O27l3fcr4zstfLss8/yxBNPtP5fr9dTUVGBs7MzCkXbKi01NTX4+vqSm5vb7fynm+k7ouqSvyP2d0TVJX/n5vuOCLoMBgO1tbV4eXW/Y1C/MrIuLi6oVCqKi4vbbC8uLsbDw6Pd/ubm5pibty3N5uDg0OU5rqeRwM30HVF1yd8R+zui6pK/c/N9R2pd3Z3BttCvAp/MzMwYM2YM+/fvb92m1+vZv38/48ePl1CZjIyMjIxMe/rVTBbgiSeeYO3atYwdO5aIiAjeeOMN6uvrufvuu6WWJiMjIyMj04Z+Z2RXrVpFaWkpf/3rXykqKmLUqFHs2bOnXTDUtWJubs5zzz3Xzr38a/mOqLrk74j9HVF1yd+5+b4jqq6r8atqECAjIyMjI9OX9Ks1WRkZGRkZmf6EbGRlZGRkZGR6CdnIysjIyMjI9BKykZWRkZGRkeklZCMrIyMjIyPTS8hGVkZGRkZGppeQjayMzK+Yu+++mz//+c9ttsXGxqJQKFiwYIFEqmRkbh7kPFkZmV8pOp0ODw8Pvv/+eyIiIlq333fffTQ0NLBt2zYuXbp0TcXQZWRk2iLPZGVkbkJ8fHx455132myLiYnBysqK7Ozs1v+bmpoSHh7euk9dXR2bN2/m8ccfZ9q0aXzyySfXfFwZGZlfkI2sjMxNSGRkJCdPnmz9v8Fg4PHHH+f3v/89fn5+AHz77bcsWrSoTdvHr7/+Gg8PDyIiIlizZg0fffRRmwbV3TmujIzML8hGVkbmJmTcuHFtjOHnn39Obm4uzz77bOu2nTt3snjx4jbf27BhA2vWrAFg6dKlFBYWcvjw4Ws6royMzC/IRlZG5iZk3LhxJCcnU1dXR319PX/605/4+9//jo2NDQDJyckUFBQwY8aM1u+kpqYSExPTamRtbGxYsmQJGzZs6PZxZWRk2iIbWRmZm5AxY8agVCqJj4/npZdewtXVtU07yG+//ZZZs2ZhYWHRum3Dhg2Eh4czZMiQ1m1r1qxh69atVFdXd+u4MjIybZGNrIzMTYiVlRUjR45k69atvPLKK7z++usolb/c7jt37mTJkiWt/9dqtXz22WfcfvvtbY4ze/ZsrKys+Oqrr7p1XBkZmbb0u36yMjIy3WPcuHG89dZbLFmyhKioqNbtJSUlnDp1im+//bZ123fffUdxcTHBwcEkJia2Oc6UKVPYsGEDv/nNb7o8royMTHtkIysjc5MSGhqKqakp//73v9ts37VrFxEREbi4uLRua1l3nTVrVqfHO3fuHCEhIZ0eV0ZGpj2ykZWRuUnZtGkTjzzyCIMHD26zvaOo4l27dt3wcWVkZNojG1kZmZsIvV5PaWkpGzZs4OLFi+zcubPdPpMmTeK2227r8ePKyMi0Ry6rKCNzE3Ho0CGmT5/O8OHD+fjjj4mMjBT6uDIyNzuykZWRkZGRkekl5Nh7GRkZGRmZXkI2sjIyMjIyMr2EbGRlZGRkZGR6CdnIysjIyMjI9BKykZWRkZGRkeklZCMrI3OdPP/88216scrIyMhciWxkZWT6MTExMTz//PNUVVVJLeWqXI9Wg8HA3/72N44ePdp7wn5Go9HwzDPP4OXlhaWlJZGRkezbt6/XzytzcyMbWRmZfkxMTAwvvPBCvzGy16o1LS2N5557jsLCwt4T9jPr1q3jtddeY82aNfznP/9BpVIxf/58oqOje/3cMjcvcllFGRkZYTl9+jQAo0eP7tXznDhxgk2bNvHvf/+bp556CoC77rqL4OBgnn76aWJiYnr1/DI3L/JMVuZXS3Z2Nr/97W8ZNmwYlpaWODs7c8stt5CVldVu3+joaMLDw7GwsGDQoEG8//77bT7fsmULCoWCw4cPt/vu+++/j0KhaNNCLj8/n3vuuQd3d3fMzc0ZMWIEH330Ubvv5ufnc++99+Ll5YW5uTkBAQE89NBDNDU18fzzz/OHP/wBgICAABQKBQqFoo3+azlPd/a73uvYHa1XEhERwZo1awAYMmQICoUCBweHbmm6VrZs2YJKpeKBBx5o3WZhYcG9995LbGwsubm5vXJemZsfeSYr86vl5MmTxMTEsHr1anx8fMjKyuLdd98lKiqKpKQkrKysADh//jyzZ8/G1dWV559/Hq1Wy3PPPYe7u3vrsRYsWICNjQ1ff/01U6dObXOezZs3M2LECIKDgwEoLi5m3LhxKBQKHnnkEVxdXdm9ezf33nsvNTU1PP744wAUFBQQERFBVVUVDzzwAMOHDyc/P58tW7bQ0NDA8uXLSUtL46uvvuL1119vbV3n6up6Tefp7n43ch2vprUjnnnmGZ5//nk0Gg1//etfAdoZ2ebmZqqrq7vU14KTk1OnDebPnDnD0KFDsbOza7M9IiICgISEBHx9fbt1HhmZNhhkZH6lNDQ0tNsWGxtrAAyfffZZ67alS5caLCwsDNnZ2a3bkpKSDCqVynD5LXTbbbcZ3NzcDFqttnVbYWGhQalUGv72t7+1brv33nsNnp6ehrKysjbnXr16tcHe3r5V11133WVQKpWGkydPttOp1+sNBoPB8O9//9sAGDIzM9vt093zdHe/zujudexKa2cMGDDAsG7duk4/P3jwoAHo1k9X5x0xYoRh+vTp7bZfuHDBABjee++9bmuWkbkc2V0s86vF0tKy9d/Nzc2Ul5czePBgHBwciI+PB0Cn0/Hjjz+ydOlSBgwY0Lp/YGAgc+bMaXO8VatWUVJSwqFDh1q3bdmyBb1ez6pVqwBjtOzWrVtZtGgRBoOBsrKy1p85c+ZQXV1NfHw8er2eHTt2sGjRIsaOHdtO+9VSh7p7nu7ud6PX8Xqorq4mJyeHkJCQTvcJDQ1l37593frx8PDo9DiNjY2Ym5u3225hYdH6uYzM9SC7i2V+tTQ2NrJ+/Xo+/vhj8vPzMVzWkKrFBVlaWkpjYyNDhgxp9/1hw4bxww8/tP5/7ty52Nvbs3nzZmbMmAEYXcWjRo1i6NChrcerqqrigw8+4IMPPuhQV0lJCaWlpdTU1LS6mK+VazlPd/briu5cx+vh3LlzAF0aWUdHR2bOnHnd52jB0tISjUbTbrtarW79XEbmepCNrMyvlkcffZSPP/6Yxx9/nPHjx2Nvb49CoWD16tXo9fprPp65uTlLly5l+/btvPPOOxQXF3Ps2DH++c9/tu7Tctw77riDtWvXdnickJCQNobqeujuebq7X1f09HVsocXIhoaGdrpPU1MTFRUV3Tqeq6srKpWqw888PT3Jz89vt70ldcjLy6tb55CRuRLZyMr8atmyZQtr167l1Vdfbd2mVqvb5HG6urpiaWnJxYsX230/NTW13bZVq1bx6aefsn//fpKTkzEYDK2u4pbj2draotPpupyB6fV67Ozs2kQkd0RnbuPunken03Vrv67oznXsSmtnnDt3Dk9Pz9YgqY6IiYlh2rRp3TpeZmYm/v7+HX42atQoDh48SE1NTZvgp7i4uNbPZWSuB9nIyvxqUalU7WaMb731Fjqdrs0+c+bMYceOHeTk5LSuyyYnJ/Pjjz+2O+bMmTNxcnJi8+bNJCcnExERQUBAQJvjrVixgo0bN5KYmNjOHVxaWoqrqytKpZKlS5fyxRdfcOrUqXbrsgaDAYVCgbW1NUA7g9bd83R3v67oznUEOtXaGTk5Ofj4+HS5T8uabHfoak125cqVvPLKK3zwwQetebIajYaPP/6YyMhIObJY5rqRjazMr5aFCxfy+eefY29vT1BQELGxsfz00084Ozu32e+FF15gz549TJ48md/+9rdotVreeustRowY0erSbMHU1JTly5ezadMm6uvreeWVV9qd91//+hcHDx4kMjKS+++/n6CgICoqKoiPj+enn35qdX/+85//ZO/evUydOpUHHniAwMBACgsL+eabb4iOjsbBwYExY8YA8H//93+sXr0aU1NTFi1ahLW1dbfP0939bvQ6dqW1IwICAjhw4AAvv/wyXl5eBAYGth6jhZ5ak42MjOSWW27h2WefpaSkhMGDB/Ppp5+SlZXFhg0bbvj4Mr9iJIlplpERgMrKSsPdd99tcHFxMdjY2BjmzJljSElJMfj5+RnWrl3bZt/Dhw8bxowZYzAzMzMMHDjQ8N577xmee+45Q0e30L59+wyAQaFQGHJzczs8d3FxseHhhx82+Pr6GkxNTQ0eHh6GGTNmGD744IM2+2VnZxvuuusug6urq8Hc3NwwcOBAw8MPP2zQaDSt+7z44osGb29vg1KpbJeq0t3zdHe/G72OXWm9kvz8fMOcOXMMNjY2BsDw5ptvXlXLjdDY2Gh46qmnDB4eHgZzc3NDeHi4Yc+ePb16TpmbH4XBcIMRFjIyMjIyMjIdIufJysjIyMjI9BKykZWRkZGRkeklZCMrIyMjIyPTS8hGVkZGRkZGppeQjayMjIyMjEwvIRtZGRkZGRmZXuKmLkah0WjaFP3W6/VUVFTg7Ox8zSXeZGRkZGR+3RgMBmpra/Hy8uq0N/GV3NRGdv369bzwwgtSy5CRkZGRuYnIzc29asnPFm7qYhRXzmSrq6sZMGAAL7zwQmufyP5OZWWl1BI6RVRtouoCut1Rpr8g8rUWVZuoukBsbX1JVVUV9vb23dr3pp7Jmpubd9qI+WYxsh39fqJgZmYmtYQOMTU1lVpCp5iY3Fy3ZGet5USgu+6+vkZeyhKfa/kbiTnKZGRkZGRkbgJkIysjIyMjI9NLyEb2MrRacV1bjY1iul47QqExHh8AAP0ZSURBVKtVodOJey1b0OlM0enEd89qtVZSS+gW/UGnwQA6Xcet9UTCYACDwVZqGd1E1tkVspH9meJiB55/fh0HDoSh0Yj34H3vvSX897/LSEz0R6+XWk3XJCWN4K23HuXChfHodOIOsdzcMezY8QYXLiykqUlcA3HmzP9x4sS/KC0djahhigYDxMa+wZkzf6a6eqjUcjqlsXEgCQk7yc39LVqt89W/IBE6XQhVVQk0NPwZvd5Fajld4APkAv8BBkispStMgWTgS2Bkn575po4uvpKamhrs7e156aWXOgx8ysryYM+eCHJz3Zgx4zQTJ57H3FwrgdL2NDWpOHVqOIcOhWEwKJg69QwRESnU1ZVILa0dBgNcujSQffum0NhoQ3j4jwwffhKlUoy3g8sjeEtLB5OUtJDi4kAGDz7E8OG7sbKqkkxbeXl5u206nSn5+TPJylqJStXIwIHf4O5+VJjr2UJzszU5OQvJzl6Kre0lBg7cDBxCtDiexkZ/CgruoqJiKnZ223Bw+B+mpoVSy2qlZXxqtcNQqx+jqWkB5uabsbD4LypVrhDa2uIP/AG4E9gGvITRoImGM/AY8AhwDPgXEHNdR6qursbOzq5b+8pGtgNENrZ6PSQn+3HoUBj5+a6MHn2S8PAT2NrWSS2tHeXlFWRnBxIXNx+NxpKIiB8ZOvQUxn7d0tHRg6K62pPk5AVkZ0cSEHCMoKBd2Ni0N3i9TUdGtgWDQUlR0UQyM2+ludmagIAteHv/hErV1IcKr45OZ05e3hwyM1egUpXg5fUpDg5HUSjEetQUF1tSVXUfNTVLsbHZg6PjB5iZZUotq9341Ol8UKsfQaNZjZnZD1hY/AcTk1QhtLXFDXgc+A1wGFgPnOgDVdeKDfAg8ASQjlHnnms6Qr80suvXr2fbtm2kpKRgaWnJhAkTeOmllxg2bFjrPmq1mieffJJNmzah0WiYM2cO77zzDu7u7t06R3eNbAsiG1uA/HwXfvwxiOTkQAIDkxk3LhYPj2KpZbXSckMaDJCVFUxc3Dyam82IiNjDkCHxkhnbrh4U9fVOJCUt5NKlyfj5xTFixLfY2vadt6ArI9uCwQDl5aO5dOkW6ur88PPbwYAB32NqWt8HCruPXm/CxYvhFBbehUKhw9PzU5ydf0Kh0EktDbh8xuhCVdU91NSsxsrqKI6O72FuLt1MrLPxqde7oFY/gEZzDyYmx7GweANT01NCaGuLHfAQRoObhHHGuK8XVV0vZsBa4GmgFqPOLcDVPUT90sjOnTuX1atXEx4ejlar5U9/+hOJiYkkJSVhbW0MVHjooYf4/vvv+eSTT7C3t+eRRx5BqVRy7Nixbp3jWo1sCyIb24qKCmprbTh5MoJTp8bi4VHE+PGxDB6cLvnM4cob0uhGHsmJE/PQas0YO3YvQ4eeQqXqW7dndx4UDQ0OJCcvID09Cl/fUwQHf4udXe+7FLtjZC+nqmoomZm3UF4+Cl/f3fj57cDCQpyCFhUVFRgMSiorp1JQsBadzg4Pjy9wdf0OpVLaGXj7GaM91dV3UlV1JxYW53F0fB8Li5N97u6+2vg0GGxRq9eiVj+ESpWOhcV/MDU90Cc6r61YigWwDqMruRKjEdtGd4xY36IEVgLPAtbAy8BnQOfjs18a2SspLS3Fzc2Nw4cPM2XKFKqrq3F1dWXjxo2sXLkSgJSUFAIDA4mNjWXcuHFXPeb1GtkWRDS2lw/65mZTzp4N5fjxcSgUBsaNiyU09BwmJtJo7OyGNM5sR3Dy5BwaG20ZM2YfgYEnUKn6Rue1PCjUajuSk+dx8eJ0vLzOERy8EweHvF7Tdq1GtoW6Om+yslZSWDgFT8/DBARsxdo6v4fVXTuXX2uDAWpqIikoWIta7YeHx1e4uW1DpWqQXNvl6PVW1NTcSmXlvZia5uPo+AFWVgf77KW1u+PTYDBHo1mFWv0oCkUdFhb/wczsWxSK3jNi11eRTAXcCvwRo+F9GficroyYdMzFaGxfAn7odK+bwsimp6czZMgQzp8/T3BwMAcOHGDGjBlUVlbi4ODQup+fnx+PP/44v//979sd48qyijU1Nfj6+vLBBx9gaWl5A9pc2L59JFlZTsyfn8SMGWlYWNy4C6ynSurp9ZCUFMDBg2EUFTkxefI5Jk06h42NWnJtl9MSIHXkyFQqKx2ZOPEYo0fHY2raLKmujmhstOLs2SjOnZuCj08a4eF7cXXt2thKUSKxocGRlJS5pKdPw9PzPCNG7MLJKatHjn29LwAdUVk5nEuXVlFVFcSAAd/h57cTM7Oa6z5eb1xrvd6E8vJ5FBbeiULRjKfnZ9fl7u7tcWAwqKirm0Nl5W8wGKxwcPgQW9vtV/UU9PX4NBiguXkWavXv0On8sbB4BwuLz1Ao2seTVFSYA+WIaYhvAiOr1+tZvHgxVVVVREdHA7Bx40buvvvuNkYTICIigmnTpvHSSy+1O87zzz/fYYOAGzWyLfS0se2NQZ+T48bBg2FcuBDA2LEpREUl4OZWJYS2y8nK8uPo0SkUF7szfnwM4eGnMDO7+g3W1w8KjcaSs2encPZsFB4emYSH78HDI0cIbZej0ViRljaL1NS5ODtnMGLETtzcLt7QMXvSyLZQW+vPpUu3Uloagbf3jwQEbMPC4trP05vX+nJ3t1Zrj6dni7tbc/Uv97K2yzEYoKFhMpWVv6G52R8Hh4+xt9+EUtlxUKSU47O5ORK1+ndoteGYm2/AwuIDlMqWGA4zKivvA27HmB70IhAtmdaO6PdG9qGHHmL37t1ER0e3djq4HiPbWzPZK0lPd2b79hAyM51ZsCCJGTNSr8vY9uagr6iw5fDhUOLiRjBoUD7Tp8czcGBBt9dx+uqGzM314ejRKeTl+TBu3HEiIuKwsOj8YSbVg6KpyZzz5ydz5sw0XF3zCA//ES+vS0Jou5zmZnPS06eTlLQAO7tCgoN34uGReF3rd71hZFtoaPDk0qWVFBZG/ezu3oK1dUG3v98X19ro7o742d0dgLv7JtzctmJi0nXAmRTjoLExjMrKB1Grx2BvvxF7+08xMWmrQ4TxqdUG/ZymNBdz841YWLyNUllGZWUz0IjRfbsEY+pNFRAENABZUkkG+rmRfeSRR9i5cydHjhwhICCgdfv1uIuvpGVNtqeNbAsZGUZje+mSM/PnJzFzZhoWFt1fZ+yLQd/QYEZsbDCHD4/C3r6O6dPPEBKSjkrV9TDo6xuysNCDo0enkJkZQHj4CcaNO46VVaPkuq6kudmMxMQJnDkzAweHEsLDf8THJw2FQnptl6PTmZKRMYWkpIVYWFQTHPwt3t5nrmmdsTeNbAtqtRNZWcvJy5uLi8spBg7cjJ3d1dNq+vpa19WNoLDwLmpqRuPmth0Pj02YmnasQVqPxhCqqh6grm4mdnbbcXDYgKlpvuS6rkSn8/s5TekWrK3/SH39Oz9/YgdcAAYDyzEa3KEYi0vcA5yURG+/NLIGg4FHH32U7du3c+jQIYYMGdLm85bAp6+++ooVK1YAkJqayvDhw6858Km3jGwLGRnO7NgxkowMl2sytn056HU6JWfODOHAgdE0NpoxdWoC48YlYWHR8XqoVDdkSYkbR49OJi1tKKNGnWH8+OM4OFRJrutKtFoTkpLGER8/E2vrasLDf8TWNlq4Qgx6vYqsrAlcuLAIpVLLiBHfMmBAXLfSqfrCyLbQ1GRLdvZicnIW4+CQzMCBm3F07DytRqpx0NgYQEHBnVRWRuHishtPzy8wN28bhS7CGG1u9qaq6l5qapZhY/MTDg4fUF8fJ7Wsduj1rhgMplRXJ/685UlgIMY81oeBu4ASYCxQAVzCmPf6MJAA/NgnOvulkf3tb3/Lxo0b2blzZ5vcWHt7+1aD+NBDD/HDDz/wySefYGdnx6OPPgpATEz3qnb0lZFt4dIlZ7ZvNxrbefOSmTkzFUvLzo2tFDejwQAXL/pw4MBosrM9mDTpHFOnJrQLkpL6QVFR4Uhs7HjOnQtl2LBUJkyIwcOjSHJdV6LTqUhJCef06VmoVHUEB+/Ex+e05OlUV6LXK8jNDefChSVotWaMGLGLgIBjKJWdL3P0pZFtQau1JDd3HllZy7GyKmDQoE04O8e3e3mRehxoNB4UFd1OaelCHB2P4On5GVZWl4TQdjlarRPV1Wuprr4dlSr25/QfaWaDHWEwKFAoDFRUqIH/YUz3+TdwG+ABvIqxgESLV2s0cAfggNEYn8ZomHuXfmlkO+vP9/HHH7Nu3Trgl2IUX331VZtiFB4eHt06R18b2RYuXXJi+/YQMjJcmDs3mdmzUzuc2Up9MxYUOPPTT2NITBzIuHEXmD49HgeHeiG0tVBfb8XJkxGcOBGBl1cBI0fuxsfnooAzRiVnzgwjMXExCoWe4OAd+PmdEM7YGgxQUDCKxMQlNDQ4EhT0HYMHH+ownUoKI9tCS2nJzMxbMTWtYdCgr3BzO976dxdlfDY3O1JcfCvFxSuwtT2Hl9cnNDUdkVpWO/R6GwoLF/+ca5vxc2GLvsm17QqDwZTm5qnU1T0K7MVYE7kZKAY2AE6AC0ZXcTHwNRCH0fgOxlgA48WfP+s9+qWR7QukMrItZGY6sW2bMUBqyZLzTJuWjonJLzltojwoysrs+emnMcTHD2XcuAvMnHkarbb3ckOvh6YmU86cCSM6ehx2dhVERIhnbCsqKlpnjOfPL0OhMBASsgUfn/YzMakxGKC4OIjz55dRV+fKyJE7GDjwaJuZrZRGtgW9XkVh4VQyMm7DxKSBIUM+x8XlFJWVYtw7Leh01pSULKOwcA1mZudwcnoTC4vzUstqg7FQSEuu7eMoFCVYWf0LExNp6k0bDCbU17+BVjsRvf4BfnH9TsNoYAf+/P//AIeA7UA+xoL/FRhns/8D/gyk9KpW2ch2gtRGtoW0NFc2bw6jstKSFSvOMX58FkqlQRgj20J5uS1790Zw5swQwsJOMWnSMaytxSrdV1paQ1JSJKdOzRLO2F7+99TrFWRnj+P8+RWYmdURGrrluqN8exOjsR1BQsItaDS2jBy5DX//GJRKgxBGtgW9Xklh4XTS02/H3LwSD4//Ymd3WmpZ7dDpLMjKWkBl5X1YWCTg5PQfLCySpJYFXFkoxASNZjVq9VMolflYWr6EicmRPh2fBoOSpqZbaWpaQHOzA8Zo4ieA8RhnqX/GGPD0B6AaY9DTexhdxgDDgI3AmF7XKhvZThDFyILxYXb2rBdffx0GwC23JDBgwHnhHrpgnNnu2hVCcnIgY8acYuLEGKyspKnScyUtDwqdzkQ4Y9vRS5Ner+LSpcmcP78Ua+tyQkK24uEhxkP3clrcyGfPrkSnMyUkZCvW1nuEc3fr9Sbk58/i4sVVmJvn4ePzPra2Z6WW1QajR8Oaqqo7qKq6F0vLkzg5vYW5ee/Otrqj60oMBlM0mttRq59AqczG0vJfmJpeX6eaG9PWACzEOCPNxjiTjcFYnGI88E9gKWAJ/PXnb/0eCAHuBhRA741V2ch2gkhGtgW9HmJj/dm6NRQbm1oWLTrGoEHitN1qoaKigvJyZ44cmUJq6jDCw08wYUIslpbt02r6WtfliGRsu/JM6HQqMjKmkpi4FFvbYkJCtuDuLk1nla4wGBTk5o7l7NmVGAxqhgz5DFfXE8K9DJaV1VFSsoTCwnVYWV3E2/t9bGzEaLfW1qNhQ1XVWqqq1mFpeRwnpzcxN7+xIiE9oetKDAYzNJo7aGx8ApUq/Wdje1xCbZOBWzC6hF8ELmKsi+yOsQTiUOAjjC7mF3tdn2xkO0FEI9uCVqvk+++9+PHHcHx9S1i4MAZvb3Hcc5cP+rIyFw4fnkp6+mAiIuIYPz62y4IRfaXrckQwtt1x/+t0pqSnR3HhwmLs7fMJCdmKq6s0D92u0OsVXLgwkvT0OzA1rWHIkE9xdk4Qxtj+4tEwp6RkJYWFd2Jjcx4fnw+wspL2enY0DnQ6W6qq1lFdvRYrq6M4Of0XM7MMyXVdiXHNdi2Njb9DpUr52dj2fjRy95bOBgDfYmynZwvUYVy/LQOeozfTeWQj2wkiG1kwDiyNxpTDh0M5cGA0QUFZzJ9/HBeX66/p2pParqSkxJVDh6aRleXPxInHiIg4cU11h3tL1+VIaWyvZY1dqzUlPX06Fy4swtExh5CQrbi49O1D92qUl5ej16vIz59JRsbtWFoWMXToZzg6XpBaWgceDSuKi2+lsPB27OxO4ePzIZaW0vSK7dqjYU9V1d1UV9+JldWhn41t3+i8lvFpMFig0ayjsfExTEwSf16z7b018O5rC8DoNi4ANgMmGJvH/wUowmhse77Nnmxkf6azsopbtmzBysqq28eRIuCjttaM774L5sCBwUyalMmSJYk4OIhX8QggN9eV778fT36+K7Nnn2D8+Attoqa7S2/+LlqtioSEMI4enYyDQxVRUYfw988Urqxkc7Mp589PIj5+Ju7u2URG7sbNLVcIbZej05mQnj6NxMQlP78UbMHF5VK7/aQOlmputiYraxnZ2YtxdT3F4MFf3lB3ot661s3N9hQVraGkZAUODofx9v4IC4vuR/T31RjQ6y2prr6dqqr7MTc//3MgV2IH+9mgUNRJVvmsu4Fc16tNNrI/01mDgI6MrLERtjkuLu3dnlI+KCoqrNi+fSTHj/sRFZXBwoUXsLdXX/a59Ea2hfR0L77/fjxVVTbMmxfH2LGp19SYvS9+l+s1tn19nZuazDh/fgrx8dPx9MwkMvIHXF07Ng5SjgGt1oy0tJkkJS3ExSWdkJAtODn90jBBaiPbQlOTLZmZK8jNXYi7+zEGDdqIldW151L29rVubnaksPAOSkqW4eR0AC+vj7CwuHoN574eA3q9FdXVd1BZeS8WFmdwdn4Tc3NjAJ/BoKC2dgVVVXdjapqBUvkWpqbSVJcyBnKt+TmQK6tdIJdsZG+Qa5nJ5uZa8/jjE5g+PZ9VqzLaGFsRHhQlJdbs3DmSkycHEBWVzoIFF7C31whlZMH4spKS4sd3342nudmE+fNjCQ3N6NaMsS9/l2s1tlI2Ijh7dgoJCdPx9r5IRMRuXFxELNtnQWrqbJKT5+HunkxIyDYcHPKEuHcuR6OxJzPzFvLy5uLhcZhBg77C0rKs29/vq2vd1OREYeGdlJYuwdl5H15eH2NuXiS5risxRk3fSVXVPa1R02ZmGeh0DhgMJjQ2TqCqagxWVv+HUindWDAGct1JY+PvUaku/mxs42Qj29O0rMl25i4uK7Ng06ZBHDzoxZw5udx66yUcHJqEelAUF9uwY8dITp/2Zfr0i0yYcOyG+sT2Fno9nDs3mB9+GIeZWTMLFsQyfHhOl8ZWigdFe2N7kICALCG0XY5GY8HZs1EkJEzF1zeNiIg9ODsXCqHtcpqaLElJmUdq6hw8Pc/h6/sRNjZiFTIBYyOCS5dWkZ8/E2/vnxg4cBMWFpVX/V7fezScKSxcS2npQlxc9uDp+Qnm5iWS67oSnc6G6uq1NDaG4+W1rs19npFxFDu7+ahU2QA0Nj6KXu+HpeX6Pje8bQO5ktFq/wRce9S0bGQ74WpGtoWiIks2bhxMTIw7CxfmMG3aaWxsxGoeXFhoy86dI4mP92bixHNMn34Ga2vxjK1Op+DUqeHs2ROJo2MtCxbEdJqiJK3b8xdj6+RUwbRpBxgw4Je1UKkfYi1oNJacORPFuXNTGTAgmYiIPYAYqSqXo9FYk5w8n9TUmbi5xTJo0EasrcVLTWtsdCUjYzVFRVPx8dlDQMA3mJtXd7q/dB4NNwoK1lJWNg8Xlx/w8voUM7NSyXVdidGaqFob29fXT6e09E7s7JZgMFih0dxGc/NMdLqh2NtPRKEwPrO02iBMTPouX7wlkKuh4TGM9Y6fA051+/uyke2E7hrZFvLyrPnyy8GcPOnM3LkpzJ2bgqVl30bPXo3kZAN79kSQnOzP5MlnmTbtDFZW0qTTdIVWqyI2dgR794bj7V3KggWx+PqWttlHhAeFVmvC6dNjOHp0Mp6ehUybdhAvrwIhtF2OWm1FQkIUZ89OwcvrDCNH7sDOTjwjVlio5dKlleTmzsfT88jP7tn2MzGpaWjwICPjNoqLJ+Lr+x0BAVsxM6ttt5/U40CjcaOwcB1lZXNxdf0OT89PMTMrl1xXCwaDEoXCGPRYVvY0zc1+KBSfYmISh1r9AABKZRFa7RhsbB5Dr3elqWk+Gs1tGAwOmJt/gaXlf/tMr7ERwW+BpzHOaJ8Dzlz1e7KR7YRrNbItJCTo2Lo1hNRUNxYsSGL27FTMzK69KXtv0HJzFRU5sWdPBCkpA5g69SzTpsV32rZOSjQaE44eDWX//tEMGZLPggWxuLsb3XSiPCjAWBv55Mlwjh2bxIABOYwZs73VPSsSjY1WxMZOIC1tBt7eZwgJ2YatrThGrGWpRaNx5NKlW8nLm42X10EGDdqIhYU4f+8W6uu9SU+/ndLSCPz8vsXffyumpr9UNxNljGo0HhQU3E15+SxcXb/F0vKNdk3ZpaKxcTTl5U9hbp6Cg8MGqquzaGhYj4XFx6hUSdTXv46p6WHMzb+ioeGPGAyuWFk9h043FI3mLqysngK0fZxmZw08AjwFRGM0up3nV8tGthOu18i2PCguXXLim29GUVBgz8qVZ5k4MfOaomd7gytv+oICJ3bvHselS17MmXOCCRMSryudprdpbDTj4MEwjhwZxdixKcyde4KmputPregtNBpzjh+PJDZ2HIMGnSUy8gdsbDp3J0pBRUUFarUtSUkLSE+fzsCBRwkO3oGFRfuZWF9zZTyDWu1CRsZqCguj8PPbSUDAVkxMxCjReTl1db6kp99BeXkogwZ9xYABP6BUNgtjZFvQaDzJz7+PiorJODh8jIPDRyiV0lRhMxhUlJX9mfr6Kbi6/gNr6wMAFBQsoaHhH9jYPIhSmUtDw3rs7OYBUFV1Ahub+zExOYte70JDw1+wsNiAicm5PtHc/u9pC/wO2Al03tBBNrKdcKNGtoXz5z3ZtCkMg0HB6tXxhIRIN8Pp7KbPzPRg166JVFXZMH/+cUaPTkWp7GNx3aCqypoffhjHuXODmDDhKOPGxWFicvUG931NXl4TJ07MJTU1nJCQI4wevR9zczHWwC8fA/X1Tpw7t5Lc3DEEBu4mMHA3JibSLR90FjRYV+fNxYt3U1kZxKBBG/H13d1lL1upqKoaRmrqvajVLgwd+ilmZjuEq98MUFjoTHn5H9BoRuDk9BZ2dt+0rov2FQaDkpqaldTVzcdgMMPUNAdHx3eorT1Lc/MiNJoVaLXjAR12drMxGBypq9uAg0M4AHq9E7W1m7G1XYlS2TcvsnJ0cQ/TU0YWjNGzMTEBbNkyCi+vam67LR5f36oeVNs9uq4/CklJ/uzaNQGl0sDChTEEBmYLUwrvcvLzXdiyJZLycmdmzNhPcHCiUA+zlutcWelKbOwiCgoGER7+I8HBx1CppDUOHY2BykofEhJWU1npR0jIVgYOPIJS2fcejatF5ldWBpGaeg9NTfYMHfop7u7Rwo1PgwFKSyNIS7sHvb6BAQPeEq7jT8sYaGyMoKzsafR6G5ydX8Xaep8k11OrdaWubj4WFgk0NBxs3V5b+9nPjQf+i0azEr3eH2vrPwCg0SynqelWbG1XtzZv721+dUb2yJEj/Pvf/+b06dMUFhayfft2li5d2vp5XV0df/zjH9mxYwfl5eUEBATw2GOP8Zvf/KZbx+9JI9tCU5OKPXuG8/33QYSH57Jy5dkOKzP1Ft0ZJHq9gtOnh/LDD+Nwcqpl0aIY/P07z7mTivLyCtLTh7Bv3yxMTZuZPftH/Pxyrv7FPuDK61xY6M+xY0toaLBjwoRdDBokXR3frsZAUVEQZ86sRqczY9SoTXh7963O7qS/GQxQUjKB1NS7MTWtZfjwDUKUarwSvV7JxYvjyct7ACurdHx938bKKl1qWcCVbeugvn4u5eVPolJV4Oz8MpaW0r0UGPvWKtDrB1BX9wX29pMBaGh4GqWyBAuLT9Bqh9LQ8CpmZl9hYbFRNrK9xe7duzl27Bhjxoxh+fLl7YzsAw88wIEDB/jf//6Hv78/e/fu5be//S3btm1j8eLFVz1+bxjZFqqrzdm+PYTY2ADmzElm/vwkLCx6f4ZzbfVxVRw7FszeveEEBBSycGEMHh5Xzw3sK1p+F71eSXx8GIcOTcPXN5eZM3/C2VnaXOWO24LBpUshxMQswsKigUmTduDp2ff1ca82BgwGYy/bhIRbsLYuZ/Tor3B2bl8CsTe4lhxzvV5FXt4c0tPX4OCQwtChHwuXY1tRUYFOZ05x8WoKC+/A0fEI3t7vd5i72te6rsRgMKGm5lYqKh7FwiIBZ+dXMTNr+1Kg15uhVPZuemLbLkR2KJXGWuxabTANDS9iafkGGs1Kmprmo1RmYG391z7r+POrM7KXo1Ao2hnZ4OBgVq1axV/+8pfWbWPGjGHevHn8/e9/v+oxe9PItpCfb8fmzaPJzHRixYqzTJlyqVeDo65nkKjVphw8OJrDh0cREpLOvHlxODrW9YK6a+PK30WjMePYsUmcOBFBaOhZpkw5jLV1x0EyRUUeeHj03uy86yLvSi5cmMiJE3Px8spgwoRvcXDouIpQaakXrq5XL5PXU9ouR6czIS1tJhcuLMHDI5HQ0K+xtS3tcN/KSh8cHW/cwF1PIRet1pLMzOVkZy/F0/MwgwZ92WmhiJqaAOzs+u7F5vJr3dzsQEHBPZSVLcDNbRuenp9iYtL+PjIYVL2+PtrVGNDrramsvIfq6nXY2OzByelNTEyKf57xzqKi4lHMzZOxt/8KC4uEPtNmLAxxN01NczAxicPc/AOam5fQ2PgHTEzisbR8EROT3m3/KBvZDmayZ86cYceOHXh5eXHo0CEWL17M999/z5QpU9odo6caBFwPZ886sWHDcLRaBffdl8ro0Vcv3dbXlaWqq8359tuRHD06kGnT0lm4MBFb247faqWMqqystOGHH8Zx/vxAZsyIZ+rUBMzMfgmOamoy4e23l1FZacuyZUcJC+u6tVlv/S5qtTnHjk3i5MlwQkMTmDr1SJvm9s3NJnz++V1UVTkwe/ZegoPbF1bvi+usVlty+vQsEhMnEhR0nLFjf8TS8hedWq0pO3b8lpoaZyZN2sHQofF9pu1yGhsdOHduGdnZ4xk+fA+BgT9gavpLsJlWa8r+/c9SX+/C0KHv4+l5pE/1tdDQ4Ela2l2Ul4cxcODXDBiwC5Xql/S58vJRpKWtw84uHR+f3djbd91dqfeaEDiRn38v5eVz8fDYiJfXJzQ3O6HTWVNTM4aamrEMHPgCWq0jOp1Nhy0Ce0tbS36twQAGgxVVVfdQVXU31tY/4uz8JiYmV3+B7ovxaTAYqKysvHmNrEaj4YEHHuCzzz7DxMQEpVLJhx9+yF133dXhMa6lQUBvoNfDwYNefPrpUPz86rjnnhQCAjqfMUpVvrGkxJpt20JJSPBmwYIk5sxJaZcHXFFRQVGRo6Tu5fx8Z3btmkhBgQvz5x8nIiIZpdKATqekvNyWffvCGTiwgPHjk0hP9yYz04PQ0HTc3NpGKvb2zVhdbcfBg9NJTR3GpEnRREYaI6Z1OiVVVQ5ER0/GxyeXMWPi0emUqFTGh0tfdyyprXXk+PH5ZGYGM2bMfkJDD2Ni0oxOp6S21plTp2bh7p7NyJHHACgsVKPTmWFlVdVnGgGqqz1JSFhFWdkQRo7cxuDBh1Aqdej1KurqXLhwYTEWFmcZMGA3Wq0VdXUDMDOrwsqqb+MOqquHkpp6Nw0Nngwd+imenocwGBQ0NTmh0ThQURFCVVUQgYHvYWFRhl6v6jCiurfHgFrtS11dMC4uu9tsP3t2G0OGPEl9/QhKSpaj11vg7r4ZV9fvWmfifVtf3InKyoeprV2Gnd1GHB3fR6XqPC1NNrLXSEdG9pVXXuHDDz/klVdewc/PjyNHjvDss8+yfft2Zs6c2e4YUs5k2+pQsmOHP1u2DGTixCLuuusiTk5idfsByM524Ouvw8jNdWD58nNtXN0lJVW8884yysrsWbw4mrFj0yTTmZrqy7ffTkSnU7Jq1QECAorIyvLg4MEwli07goNDPWfPDiQ52Z/MTE9GjMhk7ty41heHvnpQFBZ6sG/fbCoqnFiw4HuGDLlIfr43MTETmDVrLw4ORuNvMEB09GTy872JjNyMvX3fjoPSUm+OHVtCZaU7U6d+w8CBiRQVDeDMmRlMmLALe/sykpPDyctzobg4CIVCx+jRX+Hu3rflHEtKhnLmzG00NVkTEfER7u4plJUNJDl5Af7+72JlVcy5c09iMKioqRmErW0Ww4Zt6NMKUwYDlJWNJTX1HhQKPcHBb2Jv/8u9Eh39LsHBr2Ni0khOzgIqK4Px99+Ol9fB1kpJfTU+L6/OVFcXRHb2kwwf/ig6nQVmZhU0NvqRnf0EAwe+gJmZUVNZmRqlsm/zmpuaBlBR8QQNDeNxdHwPe/svO1xHFtXImvSyph6jsbGRP/3pT2zfvp0FCxYAEBISQkJCAq+88kqHRtbc3Bxzc/O+ltqBDj2rVl1i9uw8vvxyCA8+OJlly7JYvjyzT4KjuoufXxV/+MNBLlxwZ/Pm0ezZE8itt54hLCwfhcLA6tX7OXBgNLW11oDxgVJZaYNKpcfevu9uvGHDcnnyyU3Exw/FzKyZpiYVeXmu2No24OBQD0BwcCahocbgntdfv4WaGhtcXIxGrazMBSen8l4vJOLpWcSdd35GevpgzM01NDebUFjogaVlQ6uB1esV7Nkzl+ZmM+rqbFofegAVFR44OfX+bMzVNZ+lS98hJ2c4SqUWrdaUsjIfLC3rsLcvo6bGifj4mUya9ApjxnxJTk54mzXG6mpP7O17P1fczS2N2bNfIDc3HJWqCa3WlIoKf8zNa7GyKqapyYaCgmnMnbsQgISEZ2lo8Go1snV1A7Cx6d1odYUCXF1P4eIST37+dBSKX4xBfb03KpUaC4sy4uNfYNCgjXh4RJOevgZHx/NYWfXly4CidawVFt5BXV0wTk77UakaUCqNLnmlshGVqhGt1glT00oaGoZSVHQPer0NdnZbsLPb2idazcxy8PB4HLV6JOXlT1NdfRdOTm9ga/utUGl+ndFvjGxzczPNzc0or6iooFKp0OvFq2jUEY6OTTzyyAUWL85mw4Zh3H//FO66K40ZM/KFKhQxYkQxzz+/m7g4P774Yiy5uY5MnnwEjcYUtdqMwMAsAPbuDae01IHkZD9Gj05jwYLjWFj0TSMFpZLW2XR5uS15ea4EBhq7fOj1v4T/FxQ4Y27ejJlZM1qtitOnhxITM5iaGjtGjjzP1KmHe/VGVShgyBBjRGdVlT0FBV4MHmxck0tPH0xuri9mZs34+2ehUmmxs6tEqzXh7NmpZGcHUVvryOjRBwgO7v380QEDUgCoqXGkpMS39f8XL47G1rYCMPy830kAdDoVqalzyM8Po6HBiaCg7xk8+ECv6lQofjl/XZ0zlZX+uLsb030MBhU+PvsoLJyMjU02Wq0ler0SvV5FVtZySkvHola7EhCwFV/f73tZpx5v7wOthiwnZx7l5WG4uR2nqioIM7NK3N1jAbC0LEajccXKqoTaWn8uXnwahaIJD4+vsLHpHW+BQmGgvn4YOTm/w9y8EG/vD7GyymjVDlBSshIzsxLMzIqoqRlLRcUs7Oy2olA0Ulu7DBub71Aq+67QiYXFeby87qShYQrl5X+gqupenJ1fxspKvNzqyxHKyNbV1ZGe/kuIeWZmJgkJCTg5OTFgwACmTp3KH/7wBywtLfHz8+Pw4cN89tlnvPbaaxKqvnYGDKjjhRdOc+aMM//733B27vTnvvuS8fUVp6WeUgnjx2cTHp6LRmNCXZ1xtmhpqcHDo5LSUntOnRrGI49s44479vHf/y6jstIGT8+Wog02fRax3NBgQUODBYMHG8syGgygUkFFhQ1794bj6VmGnV0DsbFBpKT4sWzZNpqbTTl4cDrNzSaYmfVNjefGRkvUaksGDrxEcbEbiYnBTJ16GCurBg4cmI63t1H/hQsTyM8fzPLlb7W6bUeOjO4TjWDsoKNWW+PtndHaz9bPL5mzZ1ei1VoQHv4J1tYVZGREUVwcxKxZ/6CsbBDJyfMZMuRAn+lsarJBo7HB0/MCdXWQlnY3Jib1ZGTcjlLZjL//Nlxd48nJmUdFxUgiI5+hunoIly7dwoAB3/e6PoVCT23tAFJSHsTUtBZ//504Ol7gzJk/4+Oz5+ffwQ4zsxp0OlMqKkaSk7MAJ6e9NDV5UFR0B4MH/1+P6zIYlOTkPEpV1WR8ff+Lk9OhNp83Ng4gP/8+DAYzfH3fxsSkjuLiVTg77wX2olDoqa+fSWNjJNbWfRtsplCAtfURrKyiqa1dTGnpPzA1zcLZ+WXgaJ9q6S5CGdlTp04xbdq01v8/8cQTAKxdu5ZPPvmETZs28eyzz7JmzRoqKirw8/PjH//4R7eLUYhGWFg5b755jP37fXjllVD8/Ly5/fbTeHhIX3O2BRMTPSYmTRQVWZKb68aQIca0jjNnhhAYmI29fQP19RY4ONSh1ysxGODYsWDOnBlKTY01s2adJDw8pVfeNEtK7Nm7NwITEx0eHuWtrf4MBiVHjowgLi6I8PBkIiKMs4GjR0NZsCAWO7ta1GpzLC0bKSjwwt8/u+fFXUZ5uRNHj05BpdLi5laChYWac+dCSEkZjrV1Pa6uJTQ0WDFqVAKVlZCePooxY/YBYGrajKVlHVVVrjg4dJxu01NUVblw8uQcVCotTk5FWFrWUVzsi7l5IzNmfEVFRQXR0b+lttYTa+sKsrPHERT0HQAmJhrMzWuprXXH1ra4V3XW1LiTmLgUlaoZB4c8zM3rSE+fgFZrxciRbwCQkPBHrK2NqVKFhdMZOHATAEplE2Zm1dTXe7V+3hsYDErS0tZRXDyeIUM+b418VqtdqKkZSFiYMeWwudmaujo/Bg7cxLlzT+PuHoOV1U80N9uh0XjR0BCAlVVPpygZsLTMob6+nOLiW6mpGYuPz/vo9eZUVkZRVxeMlVUGbm5bMDGpR6PxQKPxwMHhKNXVxlluY2MEDg4belhX91Eo9NjZ7cDG5geqq++koOBjTEwOYGn5N1QqsXKrhTKyUVFRdBWH5eHhwccff9yHinoflQpmz85j8uRCPv/cg7/+dR6zZqWyaFGiUOu1DQ0W1NZaMXhwHg0NZuTnuzJlSgIAtbVW2No2oNMpOXt2MAkJQ3jggV3k5rpx5EgoEREpvaLJxqYRF5dqEhIGU1zsSEhIBsXFTly86IOtbQO3374Pb2+jd6CszJ76egtGjMiiogKUSj3Fxe6MHx/TK9oux9q6AQeHKpKTA6mocMLPL4uIiBMMHnyREyci+emnWahUOoqL3amutkCrNcXf3/hioFAYaGy0bpMS0ltYWtZjZ1dBRkYoVVUu+PsnUVbmhbe3MZVDo7HB3j6fujpXamo80WrN8fY++7NOPRqNDUpl79edtrCoxcamlJyccGpr3fH0PEdl5QjMzY2R701NNtjYZFNXNwCVqgGdzgxX15aKRwaam217vQCD0ZAVY2paT27uPGpr/Rk0aBPl5aHY2Rm9dc3N1lRXD8fcvBylUkdNzRBGj36Bykrjy4BG49krSxkKhQE3t+24uW1HrfamrGw+TU2upKevp6nJnUGD/oKj4y+zwurq8djYJKJSGSvZNTZGoFDoMDPLao2KlwqlsglHxw3Y2X1DYeHd1NQcxdz8PSwt30ShkKZRwpUIZWR/zVha6lix4hyTJ1/iyy/H8Mwzi7n99tNERORIOoiLi23YsWMkBkM9Hh4V2Nk1kpfnSnW1dWvz9cpKWxobzbG3r+fHHyOYODERc/NmbGwasbZupKzMvjXoqCexsmpi7twTzJ17grw8V0xMdPz4YwQ1NdbMnXscd/eq1n1Pnx7aumYLkJUVgFKpx8mp91OSLCzUREUdIirqEAUFxgenXq/AyamS6dMPoNGY4+FRhLNzOefPh+DiYpxh6XQmlJT4olJpsbWt6vokPYC5eSORkbuJjNxNSYkvCoWegIBEsrMDSU6OoKJCQX29K35+x8nPH42DQ26rzoqKAJRKLdbWvb/kYWbWQEjINkJCtlFR4Y9S2YyLSzyZmbdQUDANtdqFhgZPPDyOUFo6Dltb40xQrzelpmYwSmUzlpZXz1u/ERQKAwMGfM+AAd9TW+tHfv4sqqqGYW+fQkXFSJqbrSkrG0tl5Qh8ffdQWDgZe/uUVqPa0DAcrdYOS8usXtVpYZGPj8+HAAwa9BzV1REUFKyjqOg2fHw+wNY2AYNBgbm58V5vbvalsvJBrK33tPymtKzVS4lKVYOV1XOYm39GQ8OLVFcfx9LyuZ8bOkirTTayguHmVsfvf3+YhAQvPv88nIMHh3DnnSfx9q6RRI+NjQYXl3qOH/emvNyOkJAMsrI8cHY26qmoMAYdublVotWqqK62ZtQo48xHoTCgVpvRFzehj4/RlfqnP31BdrY70dEjef31W1i69ChDhuSjVOrx9jY+WNVqc5KThxMUlATQZ3VSAby8fonCNRgUlJU509xsSmRkHABVVa6tAUdVVS4UFw/Azy/l5/37btbg5pbb+u+RI4+RljYajaaJoKBd2NkVk5zsgaensR1Zba07ZWWD8PI63+c6nZyyANDpygEDRUVTMRiUDBz4NTY2+WRne+LiYiymUV/vRXX1sNb/95VOW9tshg//H2AsHalSNREb+wZWVoUMGrQJe/s0Cgqm4eYW97MuBeXlM3BwiGn9f1+MT2vrFKytU/Dy+oz6+mGtAVC2tmfJy/sNzc121NbOpaFhHNBMc7MnpqZi9VhWqTKwtb2dpqYZNDT8E43mHqys/oSJSfvCL32FbGQFZdSoAoKCdrFnTyB/+9tcpk5NZ9my81ha9m0jdmvrZlasOMe0aYfIyvIAjOkxSUn+nDo1lIwMb8zMtCxcGMPRoyF4eFSgUIBWqyQ/3wUAF5e+fUHw8yvGz89YNs5o5CEwMJtt26bi6lrF+fNONDWZExxsNBJSpQEoFAa8vApZseKXVIihQ08RHz8TS8takpLGY25ej59f4s/7SyKTAQNSGDAghfLyilYNfn4nSE6eh5VVFenpUZia1uPlFS+pTlfXeFxd49sYTw+Po2RmrsTMrJq8vNmYmtbi6honmU6lUkdQ0DsYDArUaufWGbWLSzylpWMAKC+fhVodgIfHP37W2ffj09r6l3KGZmbFmJkVkZT0CWZmcXh4PIRaPZ6cnO9wdPwYB4f/tab9iIKZ2X5MTSehVt9Hbe0OzMx2YGm5HqWy74NLBUockR7RynKYmelZvPgC//jHd5SVWfOHPyzm2LEAyXT6+xfh61uKo2Md48Zd4OzZwdjaNjBnzglMTXUUFjoTFJQFQHm5HZmZngwbZpwRSaFZoQBLyyYMBvD0rCAs7CL7949GqTRQVWXP55+vJTvbr++FtdP5y8Xx9MzCyyuD06dn4uKSR0mJLzt2PEphYYCECo1cbpRcXC7i4pJOYuISHBxyqa72Zf/+P1NSMkw6gT9zuU4Hh2QcHRPJzFyBnV0GlZWBnDr1D6qrh0onEOPf/HKXtbV1DnV1/hw9+j41NZE0NTmTkfFPamuDJVRpxMSkDn//VwkNXY6Ly3psbI7g4vISvr4rUatDycnZQ13dXOGenwpFM5aW72JvPx4wobr6OGr1AxgMfTu3FLbiU09wLRWfcnKsefnlUdx3XwqjRkmTSnO1ik+JiR58/nk4NjYa7rrrJH5+fVfisLNqKno9rTm+yckDiI0NZu7c4xw5MoqyMnvmz49l4ECx2uqVlRmv25kzozh4cAb+/lnMmrUPe/u+aRTdFW07lhitxYUL4zl+fCF+fslMmLATGxtplg46HwMKFArIyJjM2bOrcHe/wOjRX2Fl1Xfjs3st9RQYDApychaQkXEHbm6xDB36CebmVb0vsJs0NrpQXV2OqWkVJSVLyM9/EHv7GHx938bMrHfXkbtDR2Ogvj6KsrI/oVKV4Or6IubmvVvUvzOuVvFJqx1FQ8M/MRjssbL6P0xND13zOW6qsoo9QWe1i/fv34+1tXWbbXo97Nnjwjvv+DJiRB2PPZaDt/f1J1r3XpFvBbt2+bFp02Ciogq4886L2NoaXci1taYcOuRJcbEls2bl4+fXcZ5qb5VvbGgwZdu2EDIznRk5sgCDAfbsCWLixEusWHEOa+uuIzqlaELQ2GjGnj0RHD8+gqioM8yYcbpd3WaptF1OY6MFhw5N49y5ECZOjGbcuOOYmPR9PdmrodFYcuLEXJKSIhkzZj9hYQdRqa4t4rhvmiTYcPbsLeTkRBIcvINhw/Z1WEf4Svq69GlTkw3p6XdSUDCdgQO/xt9/B0pl+yUjqceAXm9CcfEqCgrW4ey8D2/v9zE1vf6X1t5rRAB1dYspK/sDFhbncXH5F6am3a8CptfruXTpkmxkW+hsJtuRkW2hvl7JZ595sWWLOytWlLB2bT7W1tdeUaq3B31FhTkbNgzj9GlX/vGPEwwaVMtbb42gqUmJl1cDcXFu3HrrJSZMKG4X4NEXDwqtVoGJiYGKCku+/jqMc+e8WLkygaiojE7LGUr5oCgudmT79skUFzuxZMlRQkMz2lwzqR9iLZSUuLF79zxqauyYM+dHhgxJo7JSDG2XU1HhweHDK6itdWLy5G34+1/o9hpoX17rigp/Tp68i6Yma8aO/QxPz66bxUtVX7y21p/k5AdRq10ZPvxDXF3jhByfTU1O5OX9lsrKKXh7f4i7+7bravPX27+PXm9FZeWDVFffiZ3dlzg5vdutmsyykb0KLf1k9+/fT21tLVVVVZ3uW1Jiw+bNY7l0yZ2HH85n/vyyayp92FeDPjnZgcGDazAx0fPkk+N44olz+Pg08NZbIwgMrGLw4GoOH/YkNdWB225LZ+TISkkeFGlprnz++VgMBgV33XWSoUPbF1aQ+kFhMMCFCwFs3z4ZR8dali8/jJdXhRDaLsdggOTkQPbunYOraynjxm3G0VHapuEdYTBARkYI0dHLcHIqYvLkbTg6Xr2gRl9fa4MBsrImcObMalxcMhg9eiM2Nh3rlLKJh8EAxcUTSUm5HxubXIYPf7+1qb1I4xOgri6Q7Own0eutGDDgdeztT17T9/vq92lu9qWs7I+o1aE4O//7qvWQZSN7FVqM7MaNG7nnnntQq68eEWdqOhsvr6+xslLx+99nExLSvVKBfT3oKyrM2L49gFOnXJkzJ5fDh724++5U3n03iNWr02luVnH0qAePPHIBpTK/T7W1oNcrOHx4EN98M4qQkAJWrz6Dg8MvCeOiPCi0WhUHD45i//6xhIcnM29eHGq1WKkKAM3Nphw7NoHY2HGMGBFDRMSPmJmJFeUJRp3x8TNISIgiODiG8PAfMTPrfClGqnHQ3GxBYuISLl6cwbBhPzJixHeYmLTVKXWnLACdzozMzBVkZa3A2/tHBg/+ktpasaocQUsq0lxycx/GxuYCvr7/wcKie1W2+noMNDSMp6zszygU9bi6voiFxfkO95ON7FVoMbLvvvsuDz30EM8//zz+/v6d7p+VlcXzzz/Phg2fkpo6mQ8+8CEioppHHsnFzU2c9cWKCjM2bhyCr28d9vZN7N3rw4IFOTQ1qYiOducvfzkDwDPPRPC73yVibp57lSP2LnV1ZmzdGkpMjD+LFycyZ04qJiZ6YYxsC1VV1uzaNZHkZD+ion5i9Oj4Xu/ccz1kZRk4dmwpBQWDmDDhW4YPPylkd5KaGieio5dSVBTAhAnfMmzYqQ51Sj0OamrciY9fQ2WlH2FhG/Hz+8U1K4KRbaGx0ZXU1HupqAjBy+udn/u+itcsRaezoqBgLSUlK3Fz+wYvr09bq0d1hhRjwGBQUV19OxUVj+Lu/kesrdvX4ZaN7FW40sh+8sknDB8+vNP9U1JSWLduXet+NTUqPvrIm+++c+X22wu5/fZCLCykX1+MjXXj2DEPHnkkEQsLPW++OYLRo8tISXFg2LBqJk8uIi/Piv37vQkNrcDXV7pesJeTne3A55+HU1NjwZ13nsLbu+v1MKm4dMmTr7+eiMGgYN683QwY0Lvt0q6VlrGWlzeEI0dWYGLSxJQpW/DwEEtnC7m5QzlyZAVmZmqmTNmCu3vblz6pjWwL+fkhnD59J5aWVYwd+zmOjjlCGdkWKipGkJh4P2DAz+9VbG3PSS2pQ9Rqb3Jyfkd9fSC+vm/j7Lyn03V6KceATueIQtHQYYeh6zGycp7sNWBnp+Pxx3P48MMLnDtny+rVoRw86Ch5fpjBoKC21hQLCz1NTUrc3NTk5dmQkWFHRIRxra6y0pyaGjMcHPquNdXV8POr4v/+bx9Ll57nww/Hs2HDfCorbaSW1Y6BAwu5774PCQ8/yebNq9i6dQV1deLp9PG5yOrVLzN8+El27XqIn366ncbGjgP8pMTXN43Vq19i6NDT7Nz5W/bvX01jo9XVv9jHeHufY8GCP+LtfYaffvo/TpxYR3OzeNfTyekCI0asw81tOxcvvkRGxvM0NTlJLasdFhb5DB36NAMHvkhBwTqSkz+kvn6I1LLaoVJV9mgLP9nIXgcBAWpefz2Vp57K4j//8ePpp4dSVGQmoR5j3uSTT47j3/8ORaNRUlpqgbOzBnNzPdXVpuTm2mBlpcXfv2/az3UXhQImTMjipZe+xdm5hpdeup0jR0Jac0RFQak0MHp0PI888haWlo28885vOXVqDAaDaDr1hIQc5Y47/o5CYeCLL/6P5OQIyV8Er0Sl0hMaeoQ77/wHBoOSL7/8EykpYwXUqSMo6AcWLnya5mZLoqM/oLBwsnA6FQo9bm47CAm5FZWqnvPnN1FSslS48Qlgb3+C4OA1ODntJyXlHXJyHkOns5RaVq8hu4uvwV3cEY2NSjZs8GbnTjfuuSefW24pwsREGndHUpID+fnWTJxYREqKA6dOufLAAyns3u1LdrYNAwfWsG+fD6tXx+DvX9Xn+q5GRUUFubmubN48HaXSwKpV+1u76EjNlX/PvDxvvvtuEWZmTSxc+B1ubtJF93Y11vLzB3Hw4CqsrauZNu3rXm+Xd73k5Q3h4MFV2NpWEBb2Aba24kVLA6Sm+nHhwiPY2OQSGPg2VlZi6LxyDNTVjSAz81lUqgb8/f+FldUliZR1jUbjRk7Ok9TXD8PP7xUcHY19k0VZMrgS2V0sAZaWeh55JJd33knmp5+cueeeYJKTpXEpBQVVMWtWPlZWOoYNqyYvz5r7759MbKwb06YVMGNGARMnFrN+/Sy++ioMtVolic6u8PUt5fe//5rRo9N4660V7No1gaYm8XT6+ORz//0fMGxYCh99dA/79xsbwIuGt3cGt932Mt7e6Wze/CQnT85GpxPxel7kttv+hYdHJrt3v0hi4iL0evF0urjEM2nSQ9jYZBIT8zaZmSvQ68V7jNrYXGDEiLU4Oh4hOfkDcnMfQqczl1pWO8zNSxgy5Bn8/F4jO/tpLl78F01NrlLL6lGEGh1Hjhxh0aJFeHl5oVAo2LFjR7t9kpOTWbx4Mfb29lhbWxMeHk5OjvQBHkOGNPDBBxdYsqSE3/1uOO+9F0hDg3QPXWtrLX/722leeimOhx++wLBh1ahUBpYuzeKf//yeoiI7nn12EefOeUqmsTNUKgNRUQk8/fRXFBQ4869/3UFqqq/UstqhUumZODGGBx98j6IiT9577yEuXZK+xvCVqFRaIiJ+5NZbXyUvbyhfffUMBQUDpZbVDhMTLePG7WbOnBcoKAjlhx/+TmnpYKlltUOl0jBs2CdERv6B4uIJxMa+KXkt5I5QKnV4en5BcPCdNDQMITFxI1VVkVLL6hBHxyOMHLkaM7NCzp/fSFXVXRgMQpmn60ao36K+vp7Q0FDefvvtDj/PyMhg0qRJDB8+nEOHDnHu3Dn+8pe/YGFh0cdKO0alghUrSvjyy3NUVJjz4IOTiYlxl1STk1MT7u5tcyednRt4/PHD3H77af73v/H897+TqKoS4xpejpNTLQ88sItFi2L44ovZfP75bOrqxFu7cXSs4vbbv2TatINs27aCHTuW0tAgXiCPo2MpS5f+lzFjfuL77+/jwIFVqNXiXU97+wJmzfoHw4fv4fDhJzlxYh1NTeLptLXNIjLyKXx9d3Pq1N9JSvoNWq14f3dz80KGDn0CX9+3ycz8C+npLwoZGKVSNeDn9x+GD3+E2tol5OV9g1odJLWsG0bYNVmFQsH27dtZunRp67bVq1djamrK559/3q1jdFZWsSfXZDujoqKCEydceeedIAYOrOU3v0nCzU2MQgGXpyE0NJjyzTejOH7cn1tuOUNUVPo1VbbqSbpah2loMGPXromcPTuYxYujiYxM7tNWZd1dI2pstGTfvpmkpg5n1qy9hIae7XWd17N+1dhoTXT0UnJyApk8eRtDhsRL3ty6hct/n8ZGO+Lj11BcHMTYsZ/h63tSUp2dpfCo1Y6kpPyGysoggoLexd09pk91dXcMaLXW5OU9RHn5bHx938XVdYeQOdXl5VU/56w+jq3tNpyd/4NSWS+1rJsrT/ZKI6vX67G3t+fpp58mOjqaM2fOEBAQwLPPPtvGEF9OZw0C+sLIttDYqOR///Pm22/bBkZ1hJSL/SkpDrz55gisrLQ89tgFBgxoG4UsSn5gaqorH38ciZ2dmrvvjsPTs/aaj9EX1zkjw4vNm6djZ1fPrbcewM2te8XS+3oMZGYG8N13C/l/9s46Lqrs/ePvoRukJCRUFFQMsMXuFrt7de3Otbt7Xbu7uxvFRrFQQkBCujvn9wfr/nQFE73H/fJ+veYPZu7MfDhz733Oec4ThQrF0KLFaQoVis3zWCnPzzdv7Lh+vRP6+qHUqXMIHZ0PO/yIEigTHFyBBw96U6jQGypV2omm5tfr+hnXWmysLS9eDEdRMY0yZdagre3/Re/72eOcnm7EmzejSUqy/zswyiXPY3+Gtv904FN4eDiJiYksXLiQpk2bcvHiRdq2bUu7du24ceNGru+ZPHkycXFx/zwCA39+pSN19WyGD88JjLp0yYD+/aULjPoUdnaxrF59m6pVIxg7tho7d5YgPV2808PWNoK5c89SunQoM2c24/jxsmRmiqezePG3TJiwDxubYJYv78KFC5WF1Fm0qB+DB6/D3DyYDRsGceuWE1lZ4um0snpFt24LMDAIYf/+iTx+XE/IgCNzc3datpyEtnYYZ88u4NWrJsKlowHo6XlSvfoIChd25d69JXh69hEyMEpFJYISJf7A2noRb96MxstrCWlp0m7BfS3inaV5kJ2dUy6sTZs2jB49mgoVKjBp0iRatmzJ+vXrc32PqqoqOjo6HzykokSJZDZtekGrVhGMGGHHihWWJCWJNfxKSnI6dvRl9WpXvLx0GTKkJu7u4u3dKCll4+z8nJkzz+HhUZgpU5rj6SleRKKSUhZNm95n9OgDeHlZsGRJV3x9xQs0U1LKpF69a/TvvwVv75Js2jSQoCBzqWV9hLJyBjVqnKJdu1X4+FTg4MGxhIeLFxCnpJSGo+M+GjSYh79/DS5cmEV0tLXUsj5CQSGbokWP4uQ0lMREa27dWkdEREWpZeWKnp4rZct2RU3tDc+f7yYkpCtyuXjR57kh1l3+ExgaGqKkpETp0h9uhJcqVUqI6OIvQVEROnQIY8+ep4SHq9KtWzlcXPSklvURpqYpzJnzkO7dvVm8uALLlpUlIUG8Wa6paQKTJ1+mRQsPVq2qw5YtVUlKkq4oSF4ULhzLsGFHqVfvMZs3t+TAgXokJ4un08gogj59tlO58n327u3O2bPNSU0V73c3NAyhffuVlC59h+PHh+Di0o6MDBED9wJo3HgmxYrd5MqVybi5dScjQ7zxVFcPx9FxJra2W3j+fBTu7pNITS0ktayPUFRMxdLyT0qVGkJ0dANevNhGYqL4gVG/jJFVUVGhcuXKeHp6fvC8l5cXVlZWEqn6NoyNM1iwwJtx4/xZtsyaSZNKEB6uLLWsD5DJoF69EDZsuImSkpyJE1tx82YxASvdQO3avixceIqMDEUmTmzF3btWQuqsVs2DyZN3k5amzIIFPXn8uISAOuVUrPiIIUP+IiVFnb/+GoqHRynhdCooyClX7hbdui0gMVGP06cXEhTkKLWsj1BQkGNre4kWLSaRlGTA6dOLhNQpk4GJiSu1av2Oikocrq7rCQhoIWTFKA0Nb0qXHoCx8TE8PVfi7z+OzEzxtuDeIZSRTUxMxN3dHXd3dwD8/Pxwd3f/Z6U6fvx4Dhw4wKZNm/Dx8eHPP//k1KlTDBkyRELV306tWrHs3fsUE5M0uncvx6lTlmR9fX/jH4q2dgYjRz5nxAgXTp8uw8KFDQgN1ZZa1kfo6KQxaNBtBg1y5dChCixdWo+ICPEuPG3tFHr1ukj37pc4daoGGze2IjpavPHU0kqkffsjtGp1kkuXGrN/f1cSEsRb3WhpxdO8+VYqV97Bgwe9cHEZQXKyeDo1NGKoXXu18DqVlJIpXXodFStOIzCwGXfvLiMhwVpqWR8hk8kxNj5G2bJdyMzU5dmzAyQmNhVuMgiCRRdfv36devXqffR879692b59OwBbt25lwYIFBAUFYWtry6xZs2jTps0Xff6PKKuYX7x6pcHcuZYoKMgZPfoZVlZi1RiOiooiI0OB06fLcP58KVq0eEGLFh4oKgpz+vxDeroix4+X5cqVkjg7P6VJE88PWtSJEomanq7EhQtVcHUtS9Omd6ld+wmxsWJoe5/0dGVu3KjLw4cOVKt2lnLlbgqX9hEdHU1GhipPn3bA17c25csfoESJq8KkJb3PhzoP/q3z/8dTlEj+7GwFAgJa4+PTDQuLc9jY7CYuLkxqWbkSG1sVX99xqKj4Ymw8DSWl0B/yPf+pFJ4fgchGFiAiIobjx63Zv784nTr50q6dnzBG7P0LPyREh40bq5OdLWPgwNuYm8dLqCxvAgP12LixOioqWQwceJvChXMmLqIY2XcEBxuwd28jVFUzaNHiMIUKxXz+TRLg6anBpUvdUVNLpkGDPejqijOO7/+mUVFFuXNnIOrqsVSrthlNTTGM1r+JirLm7t2BqKomUK3aJrS0Iv9+Xiy9KSlGvHgxgpQUY6ysZqCl5SG1pFyJjEwiOnok8fEdMTRchLb24XyfZP2nU3j+F1BUlNO+vR/Ll9/h9u3CjB1bjYAA8VyepqbxTJt2kSpVApg9uylnz5YSMk3BwiKWGTPOY28fwvTpzbl0qSTZ4vW0xtw8ijFjDlKiRBAbNw7kwYPKQu6FGRkF0bnzUszMXnPgwASePXMS0j1nYOBHs2bT0Nf34+zZefj41BFUpz9Nm07H0NCbc+fm4e1dT0id6uoRVKw4DWvro3h6riQwcAjZ2WLFkAAoKKRhaLgYU9MBxMT8RkjIJjIzTaSWVWBkRcTCIomlS+/i5BTK2LHVOXy4qHB7tQoKclq08GD69AvcvWvN3LmNCAkRb29RSUlO27bP+OOPS1y7VoKFCxsSFSWeTkXFbJo1u0evXjt5+LASu3b1JDZWV2pZH6GomEW1amdxdl7L06e1OHFiiJB7tYqKmTg4HKRevcW8fNmc69fHCbkHqqiYSYUKh6lffxGenk24enUiKSnipaPJZGBhcQF7+54kJdnx4sVOEhNLSS0rV9TV3bGwaIOKig8BASeJj28v6eSlwMgKiqKinI4d/Vi27C63bpkwYUI1goPFq4tqbh7HjBnnqVAhmJkzm3Hhgq2Qq0Urqxhmzz5HyZIRLFnSldu3ywi5ajA1DWHAgI2YmwexYcMgHj1yFFKnsXEgXbosxdg4kH37JuDhUU1InYaGvjRrNhVd3WDOnJmPr29NIXUaGPj+s/q+fXstQUGNhdSpqhqGre0IChc+gKfnagIDBwm8ql2EqelAYmIG/r2qlaaIRYGRFRxLy0SWLbtL5coRjBpVg1OnLIUzYoqKclq3fsHUqRe5ebM48+c3IixMS2pZH6GklE2HDk8YMuQ4N25UYN06Z2JiRNSZRYMGV+nRYzd37lRn797uxMdLV0glLxQVM6lR4xStW6/Hza0Bp079TmKieDqVlDJwdNxHnTrLef7cGReX0aSkiOglyMDB4SAVK07Dz68Dbm6zSU01lFrWR8hkYGx8HHv7XiQlleHFi+0kJf34mJVvIWdV2/rvVe0p4uPb/fTJy3/ayKalpREfH//B41dEUVFOly6vWbjwHufPWzBlSmXCwsRLvrewiGXmzHOUKRPK9OnNhN0DtbQMZ9y4/RQpEs7ixd24e1e8PFAAc/NgBg7cgJFROOvXD8LdvbyQOk1M3tC162IKFQpj375JvHpVSUidxsbeNG/+B5qaEZw5swB//+pC6tTT86RGjWFoab3B1XUtwcENhdSpqhqCre1wChc+zKtXawgK+p3sbPF6Kv//qvZ3YmJ+/+mr2v90dHFeDQL27NlD9+7dOXbsGGXKlAHAx0eZ2bONmTEjnOLFMwB48eIFbdu2/WnRxV9CerqMLVvMOXasMMOHB9CyZcRHEXT+/mpYWaXmGVn3cwrka7N8eTm0tTMYPfoZhQunfPY9UkRV+vgYsnFjdQoXTqBfv3sUKpS7Tqkjkn19TdmzpxEmJtF07nwVHZ3kf16TWtv7BARYcvy4M8bG4bRseQotra/vnPIz/p/gYBsuX+6GkVEQdeseREPjy1LmfvZYh4eX4O7dgejohFClylY0NGJzPU7qiOTk5MI8fz6K9HRdypZdhq7u639eE+n8zM5WJSjodyIiWmJpuRJDw7NfFYGclZWFm5tbQXTxO76mQYCVVQbVqyfTqZMF69YVIj39Jwr9ClRU5AweHMTy5a/YvduUsWNLEhGRsyeSkKDIvHlF2bDBgp497Vm50pL0dJkks+DixRNYufI2pUvHMHy4E2fPWgg5G7exiWTu3LOYmsbzxx8tcHUtKqTOYsVCmDhxL/r68Sxc2B03t5JC6rS0DGDQoHXo6MSxbt0Qnj8vI7WkXDE396Fr14VoaCSwd+9kfHwqSC0pV3JW31P+aTjg5ydmRLeGRhiVK/+BpeUZHjxYgLd3T2FXtZaWqylZciwhIX3w8lpGevqPDTT7T69k/827PNncVrLv8PVVZto0Y+LjFenX7w4TJ9YTaiX7PqmpMtavt6Bu3WhKlEhm504z0tMVGDkygIAANc6cMWTAgCBSUxWJiFChaNGcVdrPnll6eemwfHk5DAzSGDnyWZ59daWejXt6GrFxYw0sLGLo2/c+urr/r1Ok2biPjzl79zakSJEIOna8RkZGsNSScsXPz5qTJ9tgZvaWFi3OoKGR/Pk38fPHOiCgJFevdsPExI86dQ6hrp63TinPg/BwW+7cGYieXiBVqmxDXf3/2ydKfe28T3KyCc+fjyIjQ5uyZZeTmflAakm58i2r2m9ZyRYY2TIfz7Szs+HgQR0WLy5EYuKfbNhQmPLlbSRQ/OW4uOhx6ZIBxYql0Lp1BAYGOS7vkyeNcHfX5tEjHWxtkxg/3h8FhZ9ftSUjQ4Hdu204d86C/v09adw46KMTWoQbRWqqIgcPOnD3rjW9ej2gatU3yGRiGVmAtDRlTp50wt3dhmbNTlO6tJgFAtLSVLh0qTGvXtnRosVpSpV69dn3SDHW6elq3LzpjL+/PfXqHaBYsWe5Hif1eZCZqYq7eyf8/atTqdIurKzuIJOJce28j1wuIyCgJd7evTA23o+Z2TYUFDKllpUrCQll8fObhqpqIEWLLkBFJTLPYwvcxfmEggJ06RLPypVXgWJMmdKae/fEi0Z8R0aGjJs3CxEcrIaKSjYTJpTk9m1doqOVOHKkMG3ahHP8uDtKSnK8vKRJA1JWzqZvXy9mz37I0aNFmTGjIpGR4nUkUVPLolevhwwffpMDBxxYs6YW8fHi6VRVzaBjx+v06nWBixcbc+RIe5KT1aWW9RGqqum0bHmatm2Pcf58M44ebUdKing6VVRSadBgPw0b7uH69Y5cvNiD1FTxdCoppVGp0i5q1VqDu3tHbt4cQWqqeBHdMpkcK6tT1KgxgoQERzw8tpGcXEJqWbmirf0Me/ueqKu/4dmzvURENM9Xl3yBkf0EBgapQFs6d3Zj9uxizJ5djLg4EfcZ5ERHKzNiRADdu4fSoEEUDx/qcv26Pra2SZQvn0h6ugxNzSyUlKR1XNjZxbF6tSuWlokMHVqTK1fMhNxjKlUqjAULTqOtncbkyS1xdy8utaRcsbUNZPDgdSgrp7Nu3RA8PW2llpQrxYu/ZvDgv1BUzOKvv4bg5VVSakm5YmX1ku7dF6CgkM3evZPx9xezlVrhwi9p0WIyampxnD69gNDQmlJLyhUNjRDs7IZgaHiSly//Iji4P9nZ4vWB/fdebXR0g/z77Hz7pP8wlSu/Yd++p3+n0pTj2jWxKseEh6uQkqJIhQoJQM5KXFU1G1dXPZo3z3F9hIWpYGSUTny89JMEVdVsfvvNk+nT3di3z4a5cx2IixMvoV1NLZO+fe8zaJArx47VZufOxqSkiNcHVlU1jdatT9GmzQnOnGnB8ePOpKWJp1NNLY02bU7QqtVJTp1qxYkTbUhPF0+nqmoKDRvupV69g1y92pUrV7qQkSGeTmXlNKpU2UHNmmt59eo33N0nkZEhXhlWmUyOickhypTpQ3x8JTw8tpKSYi21rFx5t6rV17+Wb59ZYGS/EB2dLKZM8WPWLB9WrLBi1qxiJCaKMSMzNMzA3DyV2bOLsXOnKW/eqJGWpkBGhsI/hjcoSI3ISBVsbb8+peJHUaZMLH/+6YqeXjrDhtXEw0Oaiiyfo2zZUCZP3oNMBosXd8XPT/p6qLlhY+PDkCF/kZmpxMaNvxMcbCa1pFwpWdKbIUP+Ij1dhQ0bfuftW1OpJeVK0aLP6dp1AWlpGuzfP57w8CJSS8oVExMPatYcjIJCOq6ua4mJETOiW00tGDu7IRgYXMDDYxPh4W2F9GIpKKQhk+Vfgn+Bkf1KqlSJZ8+eZ8jlMrp3L8vDh9Lvhygryxk3zp/ixZOJjlamU6cwDAzSsbfPMbCvX6vz6pUm5uapWFikSaz2Q9TUshg+/AWDBnmwZk0tDh6sQGameMXx1dTS6dnzIs2b32XjxtZcuFBZyKYIamqptG9/mJo1b7F7d09cXZ2EbDagrp5Chw6HcHJyZdeuXty+XUNQnck0a7YVB4drHD8+jJcvmwmpU0kphXLlllOy5DYePZqOt3d3srPFu73LZHJMTfdiZzeU0NAu+PgsIiND+nvoj0SoX8HFxYVWrVphZmaGTCbj+PHjeR47aNAgZDIZK1eu/Gn63qGtncXMma8ZOTKAqVNtWLXKkrQ0aS88VVU53buHMmpUAEWLplC7dgyuroU4cKAwf/1lgaKinPLlE7h0SV/I2aOTUxhz557Fy8uIuXMbEx4uXrlDgMqVPRk79gAvXhTlzz/bCVmWUSYDB4fH/PbbZl68KMPu3T1ISBBTp6PjI/r338KzZ2WF1mlvf5sOHVbi61uTa9fGC1mWEcDM7AbVqw8nKsqR+/cXk5JiLLWkXNHU9KJMmd4oKcXw/Pke4uMrSi3phyGUkU1KSqJ8+fKsXbv2k8cdO3aMu3fvYmYmrTusfv1odu16hp+fOv362ePtLU40ooVFGqNH+xMYqIaTUyy9eoWgqprN2rWWrFhRluRkMVzd72NgkMwff1ymQoW3TJ/eDFdXa6kl5YqhYRwjRx6maNG3LFnSVdigKAODKPr120LhwmGsXz8YT08xg40MDSPp338zxsbhbNgwCD8/MYON9PVDadp0Jjo6bzl7dh7BweWklpQrGhrhVKkyHgMDd27fXkNISG2pJeWKomIqRYsuxMpqKT4+8/5uoSd9zEh+I5SRbdasGXPnzqVt27Z5HhMcHMzw4cPZs2cPysrSB8sYGWWwYoUnzs7hDB5cmj17TISp11uhQiLjxr2hbdtwAGxtk9m58xmpqYqMGOGEt7d4bhoFBTnOzs8YM+Yahw9XYP36GqSkiHfhKSpm06rVHfr0OcfRo3XYv78+aWni6VRSyqJx44u0bXuU06dbcfZsMzIyxNTZpMkF2rQ5ztWr3XBxaUdmpng6FRUzqFRpN9WqbeLu3d95+LAHWVni6VRQyKZEid04OMzG07Mfz56NJjNTnEXA++jr38DevheJiWXw8NhMSoqF1JLyFaGM7OfIzs6mZ8+ejB8/PtciEv/mZzUIkMmgY8cwNm16wYULhgwbVorQUHGiEd8VfZDJcgK4Jk92p0MHX6ZMqcLRo9bCTArep2TJSObOPUNmpgJTp7bA19dAakm5UrJkEBMm7CUhQYNly7oQHCxe1xQAG5vXDBq0npgYfTZvHkB4uHg9SwFKlPCha9dFxMQU5tChMURHixkMZ27+hObNpxAXZ86FC7OIixMzyExf/wVOTsPIylLj9u01xMWJ6c1QUQnHzm44+vpX8PDYSkREKyG3tb4FYSs+yWQyjh07hrOz8z/PLViwgGvXrnHhwgVkMhnW1taMGjWKUaNG5foZX9MgIDfeNQj43HHvk54Oa9YYcOCALlOnRtCqVcIXF6D+2dVk/P3VmDbNBn39DKZP9/2nSlRuSFXpRi6HS5fM2by5FB07+tK+vS8K700NRal0I5fDlSslOHTIgXbtntC4sScxMWJViYIcnTdulOf8+aq0bHkHJ6dnQp6fcrmMu3er4eJSm4YNL+Po6PZJndKdnzIeP67HgweNcXI6SZkytz/SKXWVKMj53X19a/PoUXdKlz5J6dJniY7Ou7KRlMTFleTJkwno6LymTJk1KCuL07zhP13xyc3NjVWrVrF9+3ZkX3hX+JoGAfmFigqMHRvFX3+9ZeVKA0aPNiEuTsxhtrZOZfPmF1hbp9Czpz137ogXzCGTQePGwSxffpubN02YOrUyUVHiVWCSyaBhQ2+mTr3A9es2LFtWj4QE8dxzMhnUrfuE4cOP4uJSni1bWpCUJF7bRJlMTvXqd+jVawd37lTn0KFOQlaKksnkODpepW3btTx+XJ9z5/qRmipNVbVPIZNB8eIuNGkyg4CAqly5MonUVDG9Q7q6XtSoMQxFxVRcXdcSHW0vtaTvQsy7fy7cvHmT8PBwLC0tUVJSQklJiTdv3jB27Fisra1zfY+qqio6OjofPH4WlSqlcvJkAOrq2bRsaYmrq3g3CMiJSh49OoApU/yYPbs4q1dbkpEhXopCkSLJLFt2h+LF4xk2zIl798SMmrSwiGPWrPMYGyeweHE3Xr2ylFpSrpibRzJu3H60tZNZtKgb3t5i5oCamoYycOAG1NRSWb9+EP7+VlJLyhVj40A6d16MqmoK+/ZNJDhYzFrnOjqhNG48C319P1xd1xIWVk1qSbmipJRK2bIrsLXdzOPH0/7u6iNesOaX8MsY2Z49e/L06VPc3d3/eZiZmTF+/HguXLggtbxc0dLKZsGCcKZOjWDsWBPmzTMkNVU8Awbg5BTLrl3P8PLSYMCA0gQEiLdaVFaW07+/J+PHP2X16jL89Vdp0tPFu/BUVHLqH3fufJVduxpz/HhNMjPFu9RUVDLp3Pka7drdYNu2Zpw6VZ2sLBF1ZtC69UkaN77IwYOduXq1npA5oCoq6TRosI+aNY9z9mx/7t5tLuR4Kipm4ei4n/LlF+LhMZQXL4aSlSXe9Q5ganqTGjWGEx1djnv3lpKcLGYhmE8h1BmQmJj4jwEF8PPzw93dnYCAAAwMDLC3t//goaysjImJCba2YtZrfUeTJkmcPBmAr68K7dpZ4OEhTlDU+xgaZrB69Svq14+mf397zp4VM4jH0TGStWtdCQtTZ8aMpgQFiefmBrC392PChH0EBxuyYkUnwsP1pJaUKxUqvGb8+H34+ZmxalUHIiPFHM8yZV4wcOAG/P2Lsm1bX2Ji9KSWlCslSjymc+fFBAWV4OjRkSQmihlkZmjojpPTUNLSDLhzZxUJCdZSS8oVdfVwqlSZiLHxPe7cWU1wcP1fKihKKCP78OFDHBwccHBwAGDMmDE4ODgwffp0iZV9P8bGWWze/JZu3eLo2bMIW7boCRnVq6AAvXqFsGKFJ5s3mzNzZnGSksRbLerppTNzpht16/owZ05jLl8uIeSFp6ubxODBx3Fw8Gb58k7cvVtKSJ2FCiUybNhRypTxY9myzjx4IObEVU8vjj59tlO8uA8bN/7Os2di7tfp6MTQrt0aLC1fcu7cHPz8qkstKVdUVOJxcJiNpeUp7t1bjL9/ayHPT5ksm+LF9+PoOB0fnx48fTqBjAzx9r5zQ9jo4h/Bl/aTfce3RBd/CT4+yowfb4KOTjZLl4ZiZJQFiBGF+D6JiYosWmTNy5daTJr0kGLFEqSW9BFRUVG8eVOIv/6qiZlZHAMG3EFDI+8o6Z/Jv3/PN2+M2bmzKZaWYXTpchVVVTF0/hs/PxN27myCjU0wHTteR0Ulpw+oaOdnQIAlR4+2o2hRX6pX34OSkpjj+eqVAa6uQzExeUHlytuF0fnvyPyEBEuePJmEuno4ZcsuRUXly6J6fzaZmRp4eAwhOtoeB4f56Op6AQXRxQW8h41NBgcOBGJnl4azsyV37ogZFKWllcXs2a/p0eMtkyZV5coVMXMBraximDXrLCoqWcyY0YzAQD2pJeWKlVU448fvIztbgWXLOhMWJlY3p3cULRrK+PH7SElRZcWKjkREiOk+trQM4Pff15OcrMmhQ6OJixMzWtbY2Jvmzf8gLU2bixdnkpAgZtCetnYA1auPQlU1hjt31hAXJ2bwlpJSMuXKLcXGZjcPHswlIKCFkKvvdxQYWYlQUYHJkyOZNSuckSNNWbNGn6wsqVV9jEwGzs4RzJ37gJ07S7J2bWkyMsQ7bdTUshg0yJUmTV4yd24jXF2LSi0pV9TUMujT5xw1ajxn5cqOPH4s5o1MQyOd/v3PUKmSJ8uXd+LZs2JSS8oVdfVUunTZj43NYw4eHIufn5juY1XVZOrUWYGl5V3On59FUJCj1JJyRVExHXv7VRQvvpcHD+YTGNhUWANWpMhlqladgL9/W54+HU9WlnipaFBgZCWnYcMkjhwJ4Pp1TUaOtCMqSrwSbQAlS+Y0W3/7VpPx46sSESHeCf0uV3X8+KscPFiB7dsrCzkhyMlVdee3305x9Ghtjh2rJWQUqkwGDRo8ol+/sxw4UI/LlxsKGdUrk8mpXPkSTZps58qVLty500LIDkkymRx7+1PUqvUn9+715/HjTkKOJ0CRIpeoUmUSvr6dePZsjLDRx9ra/lSvPoLsbBU8PLaRkiJeitc3/cIJCeLtzf3KWFhksm9fIDY2yfTqVRY3N/FqCgPo6mYwe/YDHB0jGTGiBo8fi+mes7GJYs6cs4SFaTN3bmMiI8UMkChePITx4/cTFGTEmjXtiIsTr+E2QIkSwYwfv5+AAEt27epJYqKYOi0tvejSZSlBQSU5cWIIycnidfQBMDF5QbNm0wgPt+Pq1YmkpIh5vevo+FKjxnAyM7W4e3c5SUli9v1VVk6mQoV5GBmdwMNjM1FRDaWW9AHfZGRr1apFaGhofmv5n0ZFBUaNCmDCBH8mT7ZhyxZzId3HiorQq5c3o0Y9Z+HCChw4UEzIKGkdnTTGj79GuXJvmT69OU+finmD0NFJZsiQYxQr9pYlS7rg7W0utaRc0dVNonfv7ZiYhLJx4+8EBIhZxF1LK5Z27Vajrx/K/v0TCAmxllpSrmhoRNOw4Tz09AI5d24u4eElpJaUK8rKSTg4zMHU9Dp3764kLKyG1JJyRSYDE5P9lCw5loCAkbx5M0aYjj7fZGQdHByoWrUqr169+uB5d3d3mjdvni/C8oOf1SAgP6lTJ4bt21/g6qontPu4atVwVq68w82bpsyd60hiong6FRTktG//lIED77BunRPHjpUVckKgqCindevbdOx4ja1bW3DliqOQ+2CKitk0aXKBJk3Os29fN+7erSaozizq1DlCzZrHOXVqEE+e1BZWZ6VKu3F03MONG2N59aqJkDplMjnFih2iQoW5eHgM5dWr/sK6ubW1n2Jv34uUlKK8fLmBtDTpG0x8cwrPjBkzWLt2LcePH8fY2JipU6dy5MgRmjdvzqlTp/Jb5zchRYOA/CI9HZYsMeTcOW2WLg2lWrWUXI+TOq0iNVWBxYutefpUmwULvChR4v91Sq3tfUJD1Zk/3wE9vTT69buOtna61JJyJSREm9Wra1O4cAIDB35ZOpIU4xwWVoitW5tjYhJN166XUVPLXafU50B4uBEHD3bG1DSEVq1OoaLy/7+71NreJzq6MGfP9sfA4C2Ojn+hrJwqtaRcSU7W49at4chk2dSsuRZ19djPvkeKJh5yuQI+Pt0JDGxO2bJLMDJ6lOtxX3sO/NQUnlmzZjFmzBgaNWqEvb09CQkJ3LlzRxgDC9I0CMgvVFRgypRIpk0LZ8QIU/76q9A/q7D3p0V37uhKWthfTS2badN86d49hCFDSnPunJhVokxMUli69C6GhqlMn94cPz99qSXliqlpAjNmnEdNLZPp05sREKAntaRcKVw4hjFjDqKgkM2yZZ0JDRVzPI2NIxgwYCPZ2Qps2jSAyEgxz099/TA6dVqGTCbn/PnZwrbO09CIpWHD+RgY+HL27FzCwuyklpQrMlk2JUrsomzZ5Tx9OgFv7x7I5dKsvr/pW8PCwhg5ciRz586ldOnSKCsr06dPH6pUqZLf+r4LKRsE5BdNmiRx+HAA165p8vp1TjlGmQwSE2UsXGjI1q3mbN1qTliYdKUaZTJo2zaclStfsX59ERYvtiY9XbzoThWVbEaMeEHbtk9ZuLAB167ZCOmeU1PL4vffb9O06UvmzWvErVtipiOpqmbQq9cFatV6yqpVHXBzE7NXqapqOh06HKJiRTe2bOnPixc/1yv1paiopNGkyQ5KlrzExYsz8PcXs0qUgkIWjo77qFx5By4uo/DwEDdP1cjoATVqjCAyshIPH84mPf3nL0i+ycgWLVoUFxcXDh06hJubG0eOHGHgwIEsWbIkv/UVAFhaZnLwYBAlSuS4ujZuLMSWLYVITZXh5BRL06aRFC6czvXrhZg61YarV6UpclCmTBI7djwnMFCNwYNLC5nmA1C7ti9//HGZ06fLsGlTddLSxCsb+S4dacKEqxw+XIFt26oIm45Uu/ZTBg48yYkTNTlypLaQzRBkMqhW7S5du+7jwoUmnD/fRNi0KVvbS9Stu5RHj7ry4EEvsrLEOz8BLC0f0KTJTHx9a+LiMor0dDGL6qirh1O16ng0NYO5fXsNMTE/d/X9TWfZ1q1befz4MS1atACgadOmXLt2jRUrVjB06NB8FVhADjIZpKfLWLtWn6QkBUaOjKZGjWTi45UoXz6B9euLcPmyAbVqxXDggAkuLnqS6NTTy2TlyldUrhzHyJE1cHcXM83HyiqG2bPPkpioyuzZTQgLEzPdo3jxnHSkiAitv9ORxEyfeVclKiTEgDVr2hMbK+Z4WloGMHDgRsLCTDh2bDiJiWJWszIy8qZ586nExZlz+fJUkpLEdMfr6ITStOlMlJVTOH9+DjExYrZ2VFDIoHTpdZQsuRU3t9n4+7f5aavvbzKyXbp0+eg5R0dHbt++zdWrV79bVAG5Ex2tyKNHari4aHDrlgaBgcoYG6eTmqrI06fajB79hiZNoihVKonQ0JzkcSncOIqKMGhQECNHPmfBAnHTfDQ1Mxg16jrVqr1h5sxmuLmJ2VNVWzuNcePepSM1EzYdSVs7hSFDjlOiRBBLlnTB01PM8dTSSqRnz12Ymvpy4MB4goLETJ9RU4unfv2FFC7swfnzcwgJEdPNraSURvXqGyhV6iyXL0/h9etaUkvKEzOz61SrNo7AwOa4u/9BVtaPn7Tmq7/E2tqaTZs25edHFvAeJiaZbNnylk6d4pk2zZjNmwuhr5/Bgwc6VK8ei4FBBnFxSujrZ1CoUE60p0zCrdGqVcNZseIOLi6mzJ/vQGqqeG4vBQVo1eoFw4a5sG1bVY4cKSfkhOBdOtLvv99m/XonTp4sI+Q+mIKCnJYt79C16xV27GjG7ds1BNWZjZPTKerWPcC5c/14/LiuoDrlVKhwiKpVN+PqOgwPj+ZC6pTJoESJq9Svv5Bnz9px/34fYZusa2kFUL36SBQUMnnxYispKT825ztfjGxCQgIbN26katWq1K1bNz8+soBcyMxphoKzczzt28dTr14SoaEq3LmjR+vWEQCEhakQHa2MqqoYV6KZWTLLlt1FQUHOuHHVhN2nLVMmjJkzz/H4cRHWrKkt5IQAoHz5t8yceZ7bt4uyfr0T6eni7StCTi/dUaMO8uiRIydPtiEzU8zxLF78GR06rOD585pcvdpV2P3PIkUe07jxTF6/rsvduwPJyhIvLx3AwMCPpk2nER9vxtWrE0lLE3PbQEkplXLlFmNkdJyXLzcTF1f1h33Xd12hLi4u9O7dG1NTU6ZOnUqRIkX4H+qc99NR+vu68vZWISxMibFjo1BXz8bKKgVd3UxiY5Xw8tIgM1NGlSpx0op9DzW1LCZNcqdq1XBGjarOq1di7oMZGiYzdeoFAObObSJsOUZj40RmzLhAUpIK8+c3Ii5OVJ1x/PbbZhIStNm5szdJSWLuJxcqFE7HjsuJj9fn+PGhpKSIaRh0dMJo0mQmKSl6XL78h7DlGNXUEqlffxE6Om85f34WCQli7tPKZGBquo9ixWbi4zOH0NAuP8RL8NVGNjQ0lIULF1KiRAmaN29OZmYmBw8e5O3bt7kWfvgaXFxcaNWqFWZmZshkMo4fP/7PaxkZGUycOJGyZcuiqamJmZkZvXr14u3bt9/1ne+TLmZ9go8oVy6N8eMjMTDIonjxZBT+/hVPnjTC11eDatXiUFPLFsqtpKAAPXt6M2DAK6ZPr8y1a2LuK6qpZTF8uAsODkHMnNkMb28x8yrV1TMYM+Y6trYRLF/emcBAI6kl5YqaWirduu3FzOwtmzYNIDRU+go8uaGmlkzr1uswMHjLwYNjiYwU8/xUUUmmbt2lGBq+5vz52QIHGmVRpcp2SpU6x/37SwkPFyu983309O5QuvQAwsLa4+c3hexs5Xz9/K8ysq1ataJYsWLcvHmTmTNnEhYWxp49e2jevDlKSkrIvnMDMCkpifLly7N27dqPXktOTubRo0dMmzaNR48ecfToUTw9PWnduvV3fec7PDxUadbMiidPxOw28W90dHKMaMmSycTEKNGrlz0vXmjRunU4sbFKhISoSLofmxd164Ywe/YDNm+2Y8eOEoLuf0L79k/p0eMhS5fWEzZPVUFBTteuj2je/C5r17bF3V3MtnkKCtk0bXqeWrVc2LGjD69eiVnAQFExm7p1D+PoeIWjR0cI2zZPQSGbihX3ULbsMS5f/oPAwEpSS8qTkiUvU6HCfJ49G4OvbwehJv7vo67+hjJl+pGeXphXr9aSkZF/0dxf5dg/c+YM3bp1Y9SoUVSqlP8/bLNmzWjWrFmur+nq6nLp0qUPnvvzzz+pUqUKAQEBWFp+34yudOk0hg+P5rffzPnttxgGDIj5rs/7GchkOY3VFy/2JipKCSUl0NXN5OpVffr1s2fePG8cHcXrmGRnF8fKlXeYNasigYFajBv3FDU18bohVKv2BmPjBFaurEtQkB6dOrmjoCDeXaJq1ZcYGcWydWtzQkP1adLkvpATrIoVH2FgEMWhQ52IiDCiZs2bQuosW/YWenphnD/fF0fHKzg6XhFSp43NDXR0Qrl5cwSxsebY258QUqeBgTvVqo3m0aOZJCZaUabMahQVP18u9GejpJSAre1oAgKGk5Rkh57e7Xz53K9ayd6+fRt1dXXq16+Pra0ts2fP5vXr1/ki5FuIi4tDJpOhp6eX6+tf2yDA2TmBQ4cCOX9ei759zYmO/jVWtQAGBpno6uZERvXr95aJE/2YOLEkx4+L6UY0Mkpl6dK7AIwfX5XISDEDoooVi2bWrHO8fFmYFSvqkJKSv66k/KJYsRDGjDnIkyfF2bGjKenpYgbGWFu/4bffNvPsWVmOHWtHRoaYOi0svOnYcTkvX1bl0qUeZGaKqdPY2JMmTWbw5k01XF2Hkpkp5vmpqRlCtWqjSU/X5f79xaSmSlMw53PIZFlYWa3MNwML39ggICkpiQMHDrB161bu3LlD5cqV6d69O2XKlKFRo0Zk5UOPNplMxrFjx3B2ds719dTUVJycnLCzs2PPnj25HpNXg4CTJ0/SunVrrly5Qvny5T96PT0d5s7VYO9eRWJjnTl2bOBPbxCQH7x6pcLgwWbUqZPElCkRKP99/YlUGD07GzZuLMLp00ZMmfIQW1txArbeJy1NgZUry+Lvr8306W6YmubesOF9pCiMnpqqxPr1NYiO1mTUqOvo64vaWEKFHTuakJSkTv/+p9HVTf7nNam1vU9qqipHjnQgNVWNzp0PkJ4eILWkXElPV+XixV4kJenQosVmtLQ+fx1JMc7Z2TLc3bvg71+dOnWWY2Dgn+txUlw7X0JmZiaXL1/+8Q0CNDU16devH7du3cLDw4PatWszf/58Gjb8Oc1yMzIy6NSpE3K5nHXr1uV53Lc2CFBRgdmzk5k40QPYytat9kLW4v0cdnbpHDkSiI+PCv36mRMdLV66h4JCTuGK4cMDmDatMjduiBlwoqqazYQJT6hb9y1jxlTn2TMxK/CoqWUyYoQLZcu+ZcaMZrx+LWbFLTW1dAYMOE3x4sEsW9ZF4MCtNLp23UuRIoFs2jSAiAgxC2yoqKTRosVmLCy8OHhwLGFhogZEyXF03EeFCoe4enUy/v4/LnVGFL77rmtra8vixYsJCgri6NGj/5Ra/FG8M7Bv3rzh0qVLn5xNfG+DgCpVooEKBAZq07FjEXx9xXTFfAp9/Sy2bQumWLF0OnSwxNNTukYCn6JJkyhmz37Ixo127NolZkCUTAadO/syfPgL5sxx5Px5MW+4CgrQseMTunZ9xOLF9bl921pqSbmioCCnTRtXWra8zdq1bXn8WNTALTlNmlykbt3rHDs2DB+fj71fIiCTyalR4xQ1apzkxIkheHk5Si0pT4oVu0nduktxc+vJkyftkct/vUXMl/JVRnb69Om4ubnl+pqioiLOzs6cPHkyX4TlxjsD6+3tzeXLlzEw+Bmz9DCmTbtD69YJdOpkwZEjOsJGyOWFsjLMmhXBb7/F0KNHEW7cEHM/xM4ulhUr7nDvnjELF1YgNVW8lTdAjRphLFx4j337bFi/vhRZWWLeIGrU8GfChKvs2+fIoUPlhZy4AFSp8orffz/JkSN1OHeuqrA3XAeHx7RsuZHr1zty/76YDdYB7Owe0rr1Om7dasvdu82FHU8jI2+aNp1OcLADN2+OICPj14mB+Rq+6i4WFBREs2bNKFKkCIMHD+bcuXOk52NyaWJiIu7u7ri7uwPg5+eHu7s7AQEBZGRk0KFDBx4+fMiePXvIysoiNDSU0NDQfNWQGwoK0L9/LFu3BrNuXSHGjDEhIUFMA/ApunWL488/Q1i4sChbt5oJeZMwNk5lyZK7ZGXJmDChGpGRYl54xYolsHLlbby9dZkxoyKJiWIGxhQvHsWsWed5+tSM1atrk5oqps6iRUMZM+Ygz54V4/DhDmRkiOk1MjPzpVOn5fj4OHDhQm9hA41MTN7QqdMy/P3LcPZsP9LTxfRgaWpG07jxHGSybC5enE5iopjbG9/DV1mKrVu3Ehoayr59+9DW1mbUqFEYGhrSvn17du7c+d0b6Q8fPsTBwQEHBwcAxowZg4ODA9OnTyc4OJiTJ08SFBREhQoVMDU1/edx+3b+RYJ9inLl0jh+PABFRTlt2lji7i5mROynqFo1hS1bXnDligFTp9qQkiLeZEFdPYspUx5TsWIEo0fXwMtLzApRhQqls3DhffT10xgzpjpBQWJWXtLXT2bq1IsoKsqZPbuJsJ189PUTGDnyMNnZCmzb1pf4eDErGunoRNOhwwoyM1U4cmSEsJ18tLRiad9+JQoK2Rw+PJr4eDE9WEpKadSs+ScWFg+5cGEW4eFiNmz4Vr76DqugoECtWrVYvHgxnp6e3Lt3j6pVq7JhwwbMzMyoXbs2S5cuJTg4+KvF1K1bF7lc/tFj+/btWFtb5/qaXC7/qfWStbTkLF0axogRUQwYYMbOnbpCrgg/hZlZGps2vSAzU8bgwaWIihJvNq6gAL17e9O3rydTp1bm7l1jqSXlirJyNqNHP6Np00DGjavOixdi3shUVbMYNuwmlSoFMHNmUwICxBxPVdUMOnU6iI2Nz98VokyklpQr/w40ErVClLJyBk2bbsPG5gmHDo0lLOzHFsP/VmQyOeXKHaNy5R3cuDGOt2/rSC0p3/juZUypUqWYMGECrq6uBAQE0Lt3b27evMm+ffvyQ5+wODsnsG9fILt26TFlivEvF32soZHNggXeVKwYT//+ZfDzE7Phcv36b5k27RErV5bl3DlRbxDQrp0/w4c/Z9asiri6ilk6MEfnM7p0ecS6dc68fGkltaRckcnk1K9/lfr1r7JjR298fYtJLSlX3gUaValyjmPHRgjbMk8mgypVzuPkdJwTJ4bg719Kakl5Ymn5gHr1FvHq1e/4+bX/5RYwufHNRjYjI4PAwEA8PT3/cRMbGxvTv39/Tpw4wbhx4/JNpKjY2GRw+HAgYWFK9OhhTni4mB088kJBAYYPD6RHj7cMGlQKNzcx3XNly0b/HWhUnN27bYS98Jycwpgx4yFr1thz8qSYBgygZk0/evc+x86dTbh3T9wbroPDY9q1O8KhQx15+rSc1HLyxN7+Dg0b7ubs2f5CR/Ta2T2kWbNtXLrUCw+PalLLyRNDQ1+qVh1LYGAzXr4chFwu3pbW1/BV6hMSEli3bh116tRBR0cHa2trSpUqhZGREVZWVgwYMIAHDx78KK1CoqubzcaNb6lUKYV27Sx/mdrH79OhQzjTpvkyeXIJzp8XM/DA2jqRZcvu4upqwqpV9sJG9JYpE8vixXc5etSaffschI3otbMLZOjQo5w+XZ0LFyoLO3EpUcKHnj13cfFiY27dchJWZ9GiL2jd+i9cXNrx6FE9YXVaWHjh7LyGu3eb8+yZs7A6cypEjSUuzhZ398lkZYkZuPUlfLGRXb58OdbW1mzbto2GDRty/Phx3N3d8fLy4s6dO8yYMYPMzEwaN25M06ZN8fb2/pG6hUJRESZMiGLChEj69zfn6FFtqSV9NTVrxrJq1StWr7Zk505TIS8+I6NUFi++S3CwJrNnOwrb89XSMonly+/y4oUp69c7kZkp5ky8SJFIRo06hJubLQcP1hN24mJm9pZ+/bbw+LEj5841IztbTJ0mJgF06LCS589rcvNmO4FTZ97SseMK/P2rc/9+P7KzxTw/VVTiqFx5EtnZyjx4MJ/09F/vvgpfYWQfPHiAi4sL9+/fZ9q0aTRp0oSyZctiY2NDlSpV6NevH9u2bSM0NBRnZ2du3rz5I3ULSevWCWzfHszKlQbMn2/4T5P1X4VSpZLYtMmDU6eMWLrUmnyojpnvaGtnMm/eA1RUspk0qQpxcWLOcPX105gy5RIJCaosWVKP5GTxgssADAwSGDnyECEhBmzd2oK0NDFTfPT1Y+jXbwtv35pz6FAnYWse6+lF0qHDCkJCinL+fB9hax5ra8fQuPEs4uLMuHFjNJmZYnrglJTScHCYjba2P/fuLSM5WcyAvU/xxUZ23759X1S/V1VVlUGDBtGvX7/vEpYffG2DgPzA3j6No0cDefZMjf79zYmJEXOWmBfm5mls2uSBp6cGkyeXELIgRI6BfYytbSxjx1YjJETMoC119QzGjr1OoUIpzJ3bmOhoMXVqaqYxZMgxFBSyWbu2HYmJoupMplevHWRnK7BrVy9SUsTUqaGRSNu2a8jIUOHEiSGkpoqpU1U1mQYNFqGklM6lS1NITRUzJkNBIZvSpf/EzOwq9+4tJz6+uNSSvopvahDwq/CtDQLe8eTJExo0aPDZ43IjPR0mT9bk+nVldu1KoHTpzy8LRSqMnpIiY+xYEyIjFVm//i0QKbWkj5DLYdcuU/bvN2H5ck/s7JI//yZ+/jjL5bBjR0muXTNjzpyHWFom5nmslIXRs7Nl7N5dkadPzRg//iqFC3+oU5TzMytLxqFD9fD1NWPQoBPo6ycIo+19srMVOH26JUFBRejefQ+6ul/W/OLnn58ybt5si79/GVq3XoeeXt7XutTj7OtbEze3Hjg5rcXM7NkHr/2Ma+enNQh4n5iYGA4cOMDy5ctZvnw5+/fvJyZGjF6s39ogID9QUYFly5IYNiyF1q11OH1aTLdmXqiry1mzJoTSpdPo0sWCoCDx3EkyGfTqFcLw4YGMGFGKe/fELAogk0GfPl507OjLhAlVef5czFxaBQU5PXs+pG5dH+bMaYKvr5hNEBQV5XTufJWKFT1ZsaIjQUGGUkvKFQWFbFq1Oknp0i/YsqU/oaGipnbJqV37KGXL3uLw4VGEhoobGV+s2C1q1vwTV9ehvH5dW2o5X8R3GdktW7ZQvXp17t27R3Z2NtnZ2dy7d48aNWqwZcuW/NL4zXxvg4D8oG/fNHbuTGD8eE0WLlQXNto0NxQVYcaMCDp0iGfgwNJ4eIhZKahZs0jmzPFh2jQbzp4V84YL0LJlACNGPGP27IrcuiVmkQWZDFq29KBrVzcWL27AkydmUkvKFZkMmjR5QIsWd1i7th2vX4uaSwt1696gbt1r7NzZG1/folJLyhMHh2vUrn2UkycH4+dnL7WcPDE1fU6DBvN58qSj0BHS7/iuXfnFixfz6NEjNDU/vPnOmTMHR0dH+vfv/13i/ivUqJHJpUtx9OypzYsXSvz1VwLav0ignEwGAwfGoKUVy8iRdsyc+Ronp1ipZX1E1apxrF79krFjbYmMVKZnzxBkAgZ31qgRjp7eQ2bPrkhUlCpt2ryRWlKuODn5o6ubytq1tejS5RF16ryWWlKuVKv2Eh2dZHbs6EjTpucoX/6p1JJyxdHxMVpaiRw61Inmzc9Stuyzz79JAkqWfISGRjznzvWjevXT2Nv/nJK1X4u+fgCNG8/k2rUJJCUZUqXKNqkl5cl3rWRlMhkJCQkfPZ+QkIBMxDuchBQpks2ZM3Goq8tp1kwXPz/xAoo+RdOmUSxY4M2sWcU4flzM3p92dsls3OjByZPGLFtmJWR0NEDp0rEsXXqX48et2bLFVljvhr19KJMmXebIkfIcO1ZW2BVD6dJv6NlzF5cuNebWrZrC6ixZ0psePXZx4UITXF3FzfktUsSHdu3W8OBBk7+7+EitKHe0tKJo3HgW8fEmf0dIi1lL/rvu9EuXLqVOnTq0b9+eESNGMGLECNq1a0fdunVZtmxZfmn8z6ChARs2JNKpUxpNm+py/bqYaR15UalSPH/99ZItW4qwcaO5kBdfTnT0Czw8tJg6tQRpaWJO9ooUSWLZsju4uxuwdGl5MjLE1GllFcP06Re4e9eaAwfqC51L27//Fh4/duDcuebC5tKam+fk/D565Mj58+Lm/BoYhNCx4wp8fctx5Uo3srLEXBT8f4R0GvfvLyItTU9qSR/xTSP3bvXasmVLPDw8GDduHHXq1KFOnTqMHz8eDw8PWrZsma9C/yvIZDBiRCp//pnIgAFabN0qXkDRp7Cxyenic+OGPgsXFhVytVioUCZr174kPV3GmDG2JCeLeYPQ109n0aJ7xMWpMHt2RSHTpQAMDZOYNu0CoaH6bN/ejMxMMYuAFCr0LpfWjKNH2wtrGN7l/AYHm3PsWDthdeZ08VlFfLwB5871FzbnV1Exg5o1/6RQoefcu7eMlBSxcmm/6detVasWoaGhQE6z9urVq9O+fXvat29P9erVUVQU8yIUiUaNMjh5Mp7Vq9WZMUNDWJdhbhgbp/PXXx74+GgwY4YNmZnizcbV1bNZtMibQoUyGTnSjoQEMc9JDY0sZs50Q1U1i+nTK5OSIqZ3Q0srnSFDjpOersymTS1JTxfzhpuTS7uTpCRNDh7sLKxh0NRMpmfPnSQmanHoUCdhdaqqptC69XrkchmnTv0ubNEKmUyOnd0mzM0vce/eEpKSzKWW9A/fZGQdHByoWrUqr169+uB5d3d3mjdvni/C/hcoVSqL8+fjuHVLmf79tUhNFc9Y5YWubharV78kJkaJSZPEdMsqKcmZNcsHS8tUhg4tRWysmDcyZeVsJk92x8gohYULG5CYKGa6l4pKJgMGnEZZOZP169uQmiqqznS6dduDXC5j795uwjYsV1XN0ZmVpci+fV1JTxdzgqWklEHz5ltQU0vm6tUJpKeLWVxDJoPixfdjbX2Me/cWk5BgLbUk4BuN7LZt2+jTpw81a9bk1q1beHl50alTJypWrPhdq1gXFxdatWqFmZkZMpmM48ePf/C6XC5n+vTpmJqaoq6uTsOGDX/5GskmJnJOnowjI0NGz57mREWJueLKDU3NbJYt8yQ7G8aOtRWyAbyiIkyZ4ku5cgkMHlyKyEgxb2SKinLGjn2KlVUM8+c3Ii5OzCAOJaUs+vY9h55eAmvXOpOUJObKRlk5k86dD6CunsLu3T1ITRVzPJWVM+nSZT+qqmns2dOD1FQxx1NRMYsmTXagrR3GlSt/kJqqJbWkPLG2Pk7Jkju4f38hsbG2Usv59sCnWbNmMWbMGBo1aoS9vT0JCQncuXOHU6dOfbOYpKQkypcvz9q1a3N9ffHixaxevZr169dz7949NDU1adKkCampqd/8nSKgqQk7diRQoUIqHTta8Pq1mIYgN9TU5Cxa5I2OTo5bNjFRvEmCggKMHfsGJ6dYBg0qTViYmDdcBQXo2/ceZcqE/l2GUUNqSbmiqJhNjx6XMDePZM2a9sTHi7myUVTMon37I+jrR7NjR2+Sk0Udzyw6dDhMoUIx7NzZm5QUMXUqKGRTrdomDA29uXx5CikpelJLypMiRS5SuvRfuLnNISqqrKRavsnIhoWFMXLkSObOnUvp0qVRVlamT58+VKlS5bvENGvWjLlz59K2bduPXpPL5axcuZKpU6fSpk0bypUrx86dO3n79u1HK95fkZwVVyR9+sTQtasF9++LeePKDWVlObNn+1CkiLhuWZkMhg4NpHnzCCZMqMbbt2LeyGQy6NbNjWrV/JkzpzFhYWKuGBQUcqou2doGsGZNB2JiRNWZTZs2J7CwCGT79j4kJIiZoP5Op7l5MEePjiApScw6wjKZnEqVdmJu7s6lS1NJTBSzNSaAqakLZcsu4/HjaUREVJZMxzcZ2aJFi+Li4sKhQ4dwc3PjyJEjDBw4kCVLluS3vn/w8/MjNDSUhg0b/vOcrq4uVatW5c6dO7m+R4oGAd9Lr15xLFgQxtChphw/LuYNITeUlGDqVF/s7ROFdcvKZNCv31vatPFnwoSqvHkjpmGQyaB9+6c0aODFvHmNCQ4W9YYLzs63cHDwYvXqDkRGilrWUk6zZmcpWdKLbdv6Ehsrrs7mzc9gbe3BkSMjiI8Xs/ymTAYVKhygaNGbXLo0jfh4MctFAhgb38PBYT5Pn44nNLSmJBq+acmxdetWunTp8s/fTZs25dq1a7Rs2RJ/f/883b3fw7to5sKFP/xBCxcu/M9r/2bBggW5NggQFX39nFqxHTtCiRIJdO9uTGSkDuPHp3xQvejtWwXMzHLCkX9Wwe532j7H/PnxLF2qzJAh9qxa9QJT0/QfrOzr+e23ePT1Q/jjj2qsWPHqixoL/KxxNjD4/5VB795hGBiosnBhE+bMeUjx4rlPEn9WU4G8zoEePbwpVEiZP//syMSJVzA3//9C+CKdnx07PuLSJQV27PiNoUOPoaTk+xOUfR05ZS1v4eKiwLFjY+jVawcGBp8fQynGuU6dm+joKHLlynScnf/CwCBEUm3vXzsfPh9IoULLuHFjLGpqRhQv7vLPaz/j2vmmlez7BvYdjo6O3L59m6tXr363qPxCygYB30uFCjmRxydPqrBvX04whFwOL18qMmiQFsOHaxIaKl5Er0wG48ZF0a5dPIMGlSYgQMz9z3btwhk+PICRI+149kzMFS3k1Dvu18+TKVMq8/KlntRy8qRFCw9at37O/PkN8fcXdwXWuPFD6tV7zJo17QkLEyuf8h0yGdSp40K1anfZvr0v4eFi6gRwcLhO1apnOXZsGGFhFlLLyRMjIx/q11+Au3tnPD0b/dTvztfNM2tra27f/jG1Lk1Mcgqqh4WFYWpq+s/zYWFhVKhQIdf3qKqqoqqad7Sel5fXJ7/zc6//aCwssjl3Lh41tZzSSjIZWFpmsWFDAnv2qDF8uBaLFsWgpydWkq1MBkOGxCCXJzF4cClWrXqFjU2K1LI+onnzSNTUshk71pYFC7ypWFHM7YSGDYNRVc1ixoyKTJnymPLlxWvrBtCwoReqqpksWtSAMWOuU6KEeO0RAerWdUdVNYOdO3vTrdsezM3fSi0pV6pXv4OKSjo7dvSme/c9mJmJqdPe/g7KyumcPDmE5s03YW4unocAcuodN2w4lytXJpORoY69/cmf8r35HqFSqNCPmcUWLVoUExMTrly58o9RjY+P5969ewwePPirPktfXx8NDY0vep+Ghkaeboifgbb2h7ULNTVBU1POuHEpNGigS0SEEnp66UREKGJkJFb5pa5dQ1FXz2LYsFKsWOFJqVJJUkv6iPr1o1FVzWbSpBLMmuVDjRpf1vPzZ1OrViiqqlnMm+fI+PFPqFw5QmpJuVKrli+qqpksW1aP4cNdMDUVc0JQvfoL0tNj2L27J1267MfKSsxGDRUruqGsnM7u3T3o0mU/lpYBUkvKFVtbN5SU0jlzZiBNm27H0vLV598kAbq6ITRuPIcrVyaRkaGOhcVfP7yRiFBhoImJifj4+Pzzt5+fH+7u7ujr62NpacmoUaOYO3cuJUqUoGjRokybNg0zMzOcnZ2/6nvMzc25ffv2F/njDQwMKFKkyNf+Kz+EjAxQ/jue6MABFQwMsjEyymTVKn3c3dVITVVg/vwwihbNkFboezg7R6Cuns3IkbYsXuxNhQofN5SQGienWBYs8OaPP0owaZIv9euL0Q/531SpEsEffzxi/nwHRox4Ts2aYVJLypUqVQJQUclk9era9OiRQpky/lJLypWyZZ+jrJzB/v1daN/+MDY2YnYaKlfuGcrKGezb15UOHQ5RvLiYK8XixZ+hrLyd8+f70KDBHooXF7PTkJZWBI0azeHq1UkkJg6hVKl1yGQ/rhC7TC7/vjLvXl5eFCtWDCWl77fX169fp169eh8937t3b7Zv345cLmfGjBls3LiR2NhYatasyV9//UXJkiW/6PPj4+PR1dXFz88P7V+l19x7REfL8PJSZNs2NXx8FFmyJJE//1RAQ0PO1KkRbNumR0iIEjNnirHKeT/g4caNQsydW4y5c32oWlXM1eLTp1qMG1eS0aMDaNbsQ1fnzwre+BI8PPSYNasiAwe+pEGDtz8t8Olr8fAozKpVtejU6SoODj6ff8NP5t1v+vp1MQ4f7kjr1icoVUrMFRiAj09xjhzpQJs2x7Gz8/zgNZHOz+DgYpw9O4DatY9ga/tQKG3vk5qqxaVLY9HSeoO9/QoUFD6/7ZaZmcnly5eJi4v74v7k321kFRUVefny5RcbOin5lJG9ffs26urqODg4/PPc48ePSUlJoUaNGj9b6gd4eyuwebM60dEytLXllCqVRc+eqTx7psTYsaocP54T0HX6tBavXqkyblwU2dk5xQ2k5N8X1717ukydasPs2T5Ury6moX31SoNRo+wYMSKA5s3/39CKdqPw8dFh2rRK9O/viYODmD1UAR49UmHjxlZ07HhNOEP7/m8aEGDJ/v1daNXqpNCG9s0bKw4c6Ezr1ic+MLSinZ9hYRacPDmYWrWOYmx8UWo5eRIamoKb22zU1cMpV24pMtmnDe23GNnvvg1/p40WhjZt2jB06NAPnhsyZMhXu6Lzm+xsOHRIla1bVSlbNpPly5MYMCAVNTWYOVODPn1iAUhJkZGVJUMmy4lCltrA5kbVqnHMm+fN9Ok2PHggZu6nnV0yK1e+YtUqSy5eFDfR3sYmnrlzH7J5sx23b1tLLSdPrK1DGTjwJAcP1uPJk2JSy8kTS8sAunTZz8mTbfD0FHfBYGX1hs6d93PihDPe3iWklpMnhQsH0qbNOm7ebI+/fzWp5eSJsnIylSpNIyWlMM+ejUYuz/8bp4C3Yml49OgRR44c+eC5o0eP4ubmJpGiHBQU4I8/Ujh6NB4XF2W6dNEmORlOnlQhPV2Gs3POHmdkpCLXrmlSvnzqP4ZWRKpUiWf2bB+mTCnBo0diuuzt7JJZscKTpUutuHLly/KDpaB48Xhmz37Irl2VuXfPUmo5eWJtHcaAAafZv78hz58XlVpOnlhaBtC5836OH2+Lj4+N1HLyxMoqgE6dDnD0aDtevy4utZw8MTYOpFWrdTx40Js3b76vGuCPREkphYoVp5GUVITnz0cil+dvJFSBkf0bCwuLD1KDAExNTbGwECP3q1atTA4fTqBly3SCghRRUpLTsmUaAEFBSly5ooWGRjYNG+ZE8P7oiLnvoXr1OKZNe82kSSV58kTMHNXSpZNYtsyLRYuKcuOGmHmfACVLxjF27DW2bavKw4dinKu5UaxYCP37n2bPnkZ4eFhJLSdPrK3f0LHjQY4caY+vr7gr76JF/enQ4RCHD3fAz0/ciYuJSQB16y7j/v1+BAZWlFpOnuSsaKeSkGDNixfD89XQFhjZX4wePdIoWTILc/Nstm1TY8sWPVauNCA8XJGaNZPJyhJ3Ffs+tWrFMmmSL+PHl+TFC02p5eRK2bKJLF7sxbx5xbh3z0hqOXliYxPJ6NHX2by5Go8fi9NH89/Y2Lylb9+z7NzZhFevxF15FyvmR/v2hzl0qCP+/tZSy8mT4sV9adfuCAcPdiI4WNwVrZGRD3XqrODu3QEEBVWQWk6eKCsnUbnyFOLjSxAU1DTfPvd/3shu3bqVdu3a0b9/f1xcXD54LSoqiooVxZx9lS+fxY4dCQQGKuPklMzvv8ewZ48uY8aYkCFOBs8nqV8/hvHj/RkzxpZXr8Qs2F+hQgILFnizbFl53NwMpZaTJ7a2EYwc6cL69TV4+tT082+QiJIlg+jT5zzbtzfFy0uM1LjcsLF5Tdu2xzhwoDNv3og7IShRwgdn5+OcOfMbISHirmiNjT2pXXsVd+4M5u3bclLLyRNl5UQqV56EuXn+BWt9d3SxgoICr169EjK6OC0tjbS0tH/+jo+Px8LC4p/o4o0bNzJ37ly6du1KfHw8J06cYMKECYwaNQqA8PBw7O3tCQ8Pl+g/+DoSE6F3b20UFWHbtgQ081ggihaJeOyYNgsXGrJ6tQclSohXGQrg3j0dpk4twfz53lSu/GWVoaQY58ePDViwwIHJkx/j4JB3ao/UaT/u7masX+/EqFE3sLP78PoS6fx8+rQY+/Y1ZODAkxQtGiqUtvfx8CjF6dOt6N59D+bmwV/0Hin+l8DAkpw714+mTbdhaemZ53GijnNGRgYHDx78udHFIrNgwQJ0dXX/efx7f3XHjh0sX76cRYsWsW7dOo4fP8769etZsGCBRIq/Dy0t2Ls3AU1NOR066BAXJ/DG7Hu0bZvAuHFRjBhRCj8/MVv8Va0az6xZPvzxh7gBWwAODlFMmODOggUOPH0qbtBWhQpvGTjwDitX1sHLS1wPQblyvnTufJWNG1vx5o243WZKl35J8+Zn2LOnOyEh4noyLCy8aNJkO+fP9yUwUNzo6Pzku43sxIkTJS07+Ck+1yAgICDggx64VapU4dixY+zatYs5c+b8bLn5gqoqbN6cSIkSWTg76xAZ+WsY2o4d4/nttyCGD7cTtqlAjRpxTJ8udsAWQKVKkYwd+4S5cx148ULcoC1HxyD697/LihX1eP1azHsIQIUKPnTocIMNG1oLbcDs7V/QtOl5du/uQWiouBMCK6tXNG68k3Pn+gm9l5xffLeRXbBggbBGVlVVFR0dnQ8e76Ovr09w8IeulVKlSnHs2DH27dv3S7XJex9FRVi5MomqVTNo3VqHkJBfw9C2bx9Oz55vGTq0FEFBeTd2kJJatWKZPNmX8eNtef5cXENbtWoEo0Y9Y9YsR6G791SuHEjv3vdZurQefn7irrwrVvSibdubwhuwcuWe0rDhJXbv7il09x5raw8aNtzDmTO/8fatuHvJ+cF/2l38OapWrcrp06c/et7W1pajR49y5coVCVTlDwoKsGBBMs2aZdCqlS4BAb/GT925cxidO4cybFgp3r5VkVpOrtSrF8P48X6MGVOSly/FjIwGqFEjnOHDXzBzZkW8vMRsVA5QrdobevRwY8mS+rx5I+7Ku3LlVzRseFl4A+bg4E69etfYubMXkZHiuuKLFXtO/fr7OX16IKGh1lLL+WH8GnfeH8TIkSMpU6ZMrq/Z2dlx7Ngxxo0b95NV5R8yGUyblky3bmm0aqWDj8+v8XP36BFCmzbhDBtWirAwMQ1to0bRjB79hlGjbPH0FDMyGnK69wwa5MH06ZV4/VrMKlsATk5+dOnyiEWLGvD2rbgrWgeHx9StK74Bq1jRjdq1b7BzZy+iosQdTxubJ9Ste5BTp34Xuh/t9/BNd92EBPE6qXwLZcqUoVu3bnm+XqpUKSZMmPATFf0YxoxJYfDgVFq31sXDQ1FqOV9E375vado0kmHD7IiIUJZaTq40axbF8OEBjBplh7e3mAFbAPXqhTBgwEumTq2En5+4QVu1a/vSsaM7f/3VltBQcVe0lSr9GgasSpUH1Khxmx07+hAdLe54liz5mNq1j3Dy5GAiIsRN6/pWvsnI1qpVi9DQ0PzWUsAPZNCgVCZOTKZ9ex1evRJzdfhvBgwIpk6dGEaNsiM+XszJQcuWkfz+eyCjRtkRHCzmPjJAgwZv6d3bi6lTKxESIu7Ku149H5o0ecBff7UlOlrcPe8qVR5Qvfoddu3qRXy8uBOXatXuUrXqPXbt6kVCgrg6bW0fUrPmcU6cGERMjLiFX76FbzKyDg4OVK1alVevPuxW4e7uTvPmzfNFWAH5T+/eaUyZkkyfPua/hKGVyWDo0EDKlElk7FhbUlPFdHc7O0fQuXMoI0faERUl5qoboGnTIJyd/Zk6tRKxsWJGcAPUqvWUGjWes26dM4mJ4uqsXv0OZcs+ZffunqSkiOvJcHJypXTpF+ze3YPUVHHHs1Sp+1SseJkTJ4aQnKwntZx845vuWtu2baNPnz7UrFmTW7du4eXlRadOnahYsSKKimKuOArIoUePNMaNi6JPH3Nevvw1DO2ECX7o62cwdaoNmZlSK8qdnj1DqF07htGjbUlMFPca6NDBj+rVw1i6tD7JyeJOCJo0uY+tbSAbNrQmLU1cnfXrX8XCIpC9e7uRkSGuzoYNL2NmFsy+fV2F1ungcJ2SJd24enUiaWniely+hm9eGsyaNYsxY8bQqFEj7O3tSUhI4M6dO5w6dSo/9X1AVlYW06ZNo2jRoqirq1O8eHHmzJnzn2m397Po0CGeceOi6Nv31zC0Skowa5YPiYmKLFpUVMjazDIZDBsWgI1NMuPHlyQtTcy0KZkM+vXzpEiRWFasqEt6upjeAZkM2rW7gYFBPFu2tCAzU1ydLVqcQUsrkUOHOpKVJa7OVq1Oo66ewuHDHYTVCVC9+mkMDV9z48ZYMjPFvz99jm8a6bCwMEaOHMncuXMpXbo0ysrK9OnT54PCDj+Cd5WZ/vzzT16+fMmiRYtYvHgxa9as+aHf+1+kQ4d4xo/PWdF6eIh/IqupyVmyxAsPDy3WrxczOCKnLaEfGhpZTJ9uQ1aWmIZWQQF+++0OqqqZrFtXk+xscXX26JFTQ3b37sZkf7qftmQoKGTTvv0R0tNVOHmyTb63SssvcnQeJi1NlVOnWgurUyaDKlW2oqqawM2bw8nOFtcz9CV8k5EtWrQoLi4uHDp0CDc3N44cOcLAgQNZsmRJfuv7gNu3b9OmTRtatGiBtbU1HTp0oHHjxty/f/+HfN/cuXMZMWLED/lsEWjfPp6JEyPp29ccDw9xg3beoa2dxcqVr7hwwZADB8QsCKCkJGfePB+io5VZs6aMkKtuyNE5fLgLcXFqbNtWRWCd2fTrd4aoKB2OHq0jsM5MunTZR3i4MRcvNhJWp7Jyjs7QUBNcXVtLLSdPFBSyqVlzLZmZaty9+5uwE4Iv4ZsaBOzfv58uXbp88NyjR49o2bIlbdu2Ze3atfkm8H3mz5/Pxo0buXjxIiVLluTJkyc0btyY5cuX071794+O/1yDgM8xdOhQgoODOX78eH7+G8Kxf78qM2ZocOhQPOXKZeV6jEgFu319lenWrQhTp0ZQo0aA1HJyJT5ekcGDS1OzZgyDBwd98ft+9jgnJCgzYUJVqlULo3dv708eK2VTgYQEVebMaUyNGv44Oz/76HVRzs/4eA1WruyIk9MzGjR4BIij7X0SE7XYurUfFSs+xMnp9he/72f/L2lpahw9OoIiRbyoWfP4J/tk/wxtP61BwL8NLICjoyO3b9/m6tWr3/KRX8SkSZPo0qULdnZ2KCsr4+DgwKhRo3I1sPD5BgGfY+3atf95AwvQpUsas2Yl07GjDi9eiO+aKVYsgw0b3jJrljH374tZYEFH5/9X3fv2mUgtJ0+0tTOYM+cBV6+ac/y4uM3UtbXTmDDhKlev2nD1qriF5XV0khky5DjXrztw924pqeXkiZZWIj167OLu3eo8flxBajl5oqqaSps26/DzK8ujRw2klvNNfLGRDQj4/IrB2tqa27dzZkX/rgmcHxw8eJA9e/awd+9eHj16xI4dO1i6dCk7duzI9fjPNQgo4P/p0iWN6dNzDK2Xl/iGtnz5NJYtC2Xq1BLC9qI1Mspg9epX7Nxpxrlz4lYHMjRMY968Bxw4UJxr18QtgG9omMSECVc5fLg89++L2+PV0DCO338/wYkTNXn2TNy6vPr6MXTvvodLlxrj6WkrtZw80dBIoE2bv3jypC4eHtWklvPVfLG7uHDhwjg7O/Pbb79RuXLlXI+Ji4vj4MGDrFq1ioEDB+b7fqaFhQWTJk1i6NCh/zw3d+5cdu/e/VHObm7Ex8ejq6v7kbt448aNuR4vk8lQVVWlaNGi1KhR438iPWnLFlWWL9fg1Kk4ihX7/0gTEV1eAHv2KLBmjQXr13tgaZn2+TdIwKtXGowYUYoZM17j5BT7yWOlHGcvL12mTq3EhAlPqFQp8qPXpe5B+w5vb0OWLavH8OEulCkTBoh5fvr4mLN5cws6d96LlZWY2xoAb95YsX9/F7p02Y+V1ZtPHivlOEdGmnHs2DAaNNhHsWLSbBl8i7tY6Us/3MPDg3nz5tGoUSPU1NSoWLEiZmZmqKmpERMTg4eHBy9evMDR0ZHFixf/kKIUycnJKCh8uPhWVFQk+zvDDtevX09UVBTJycno6ekBEBsbi4aGBpqamkRERGBtbc3x48cxNzf/ru8Snf7900hNldG2rQ6nTsVjaSloSOffNGsWSXS0EqNG2bFpkwcGBhlSS/oIO7tk5s/3ZvLkEixb5km5colSS8qVkiXjmDTJnYULKzB79kPs7OKklpQrJUpEMmiQK2vW1GbixCsULSqegQWwsQmmW7fL7N3bhd69d1C4cJjUknLFyuoNbdoc58CBzvTqtQMTEzF1Ghq+pXnzzZw5M5AWLTZhbv5aaklfxBe7iw0MDFi+fDkhISH8+eeflChRgsjISLy9c4IlunfvjpubG3fu3PlhVZ9atWrFvHnzOHPmDP7+/hw7dozly5fTtm3b7/rcKVOmUKFCBe7fv4+3tzfe3t7cu3cPR0dH5s2bx5MnTzA2Nmbq1Kn59J+IzdChqfTqlUa7djqEhIibT/eO7t1DqVcvmlGjxC0EUalS/N8t8kry+rW41YEcHaMYNuwFs2ZVJCBA3A5DFSq8pUePhyxbVo/QUHHLBZYr5/t3554exMToSS0nT+zsPGnU6BJ79vQQus6xubkvDRvu5uzZ34iI+DUWPN8UXSwVCQkJTJs2jWPHjhEeHo6ZmRldu3Zl+vTpqKh8PtczL3dxpUqV2LZtG2XLlv3g+KdPn9K3b1/c3Ny4f/8+ffr0wcPDI9//L1GZN0+dkydVOXUqDiUlMVyF/+adiyg7G+bMKUZYmCorV75CRUXM0/rYMWO2bjVn48YXmJqmf/S6KG7P06ctOXiwGMuW3cXIKBUQx138PufO2XHxoh0jRhxAVzdJajm5Eh0dzc2bNXF3d6Bfv61oaoqpE8DV1Qk3t4r067cVLa2PPS6inJ8vX1bh9u1WdOiwCl3dnK0NUd3F4i9T3kNbW5uVK1fy5s0bUlJSeP36NXPnzv0iA/spwsLCyMylXl9mZibh4eEAmJiYkJQk7sXxI/jjjxQaNkynY0cd4uPFPlUUFGDKFD9UVLKZP7+YsHmKbduG4+wcztix4q66AVq2DKBRo2BmzKhIcvIX7yr9dJo1e0XVqm/YuLEVaWni6qxZ8xY2Nt7s39+FjAxxddao4Yqtrafw5RdLlbpPhQo3OHnyd1JTxfUMwS9mZH8UTk5OjB07lqdPn/7z3NOnTxk/fjw1a9YEcvakLS3FjWj8EchkMHduMuXLZzJwoBnJyWInhCspyZk71wcvLw22bTOTWk6e9OsXjJ1dElOm2JCZKe6Y9ujhjZVVIgsXlhe2ehVAp06PMTCIZ9euJsJWr5LJoEmTC2hoJHPihLOwxRVkMmjU6CI6OvEcO9ZWWJ0Ajo6XMTN7zdmzv5GVJe6EtcDIAqtWraJQoUI0aNAAMzMzzMzMaNiwIYUKFWLVqlUAaGpqMnv2bImV/nxkMli+PAkDgyyGDzcl/WMPp1BoaWWxdKknhw8X5uJFA6nl5IpMBpMm+ZGersCyZVbCrrplMhg9+hlJScps2mQntZw8eVd+MS5Ok1OnakgtJ08UFOS0a3eEyEhDrl2rK7WcPFFQkNO27VFiY/W4cqW+1HLyRCaDunUPIpNlc+1aZ3Gvo19pT/Z7yWtP9h3e3t74+PgAYGNjQ4kS4ia9/2xCQmIYONCMQoWyWLYsFFGymfLah3n+XJPRo+1YscITe3sxo3nj4pT47bfSODuH0717Tn9mUfa83icuToXRo6vTqNELGjf2lFpOrkRHRxMfr8Hy5Z1o3PgBNWq8kFrSP/z7N42L02Hz5gE0bHiZ8uWfSKTq8yQkaLN582/UrXsdB4fHgJjnZ1qaOocOjcbK6gZlyvy4BjXwP7An+6MpUaIEzZo1o1mzZgUG9l+oqspZu/YtQUHKzJplLOys8R329klMmODHhAklCAkRswGCrm4my5Z5smuXGTduiBvRqaubzqxZDzl2rCzu7uJGdOroJDNw4ClOnXLC0/Prqrv9THR14+nadS/nzzfF31/kKlsJdO26j4sXG+PnJ25RDVXVFFq12sCrV0158+bHNqn5Fv5nV7KLFi1i8uTJaGpqfjY1Z+7cuT9Jobi8m8HGxCjQo0cR6tdPYuxY6aNNPzez3rLFnKtX9dm40QNNzdzrMkvN48faTJhQkjVrXmJs/OV1jn82Li7KrFlTi8mTL2FlFSu1nA94/zzw8LBi167GjBx5BBMT6VdeeZ2jr17ZcepUK/r124qBgfTXUl54eZXg+PG29Ou3FQUFL6nl5ImnpwHXr4+jXr3FGBr+mBzab1nJ/qeN7KcaBPTo0YOdO3eiq6tLmzZt8vwMmUz2P1G/+GsICZHRsqUuffqkMnx4ap7HieBaksth7FgTEhIUWL/+LYqKYuj6N2fPGvLXXxYsW+b6T8qMiJw/X4S9e21YseIOBgafr7AlVdrPpUslOXu2NDNnnkNXN3edIpwHV6864OpaltGjD6KllfO7i6Dr39y7V5V796rSvv0S1NXFzbLw8nLk5s12dOy4HB2dz4/j1451gZH9FzNnzmTWrFkfPf9uT9bf3x8rKytkn2rtUECu+Pkp0LKlLpMmJdOzp7g3MYC0NBm9eplTvnwqf/wRKYyuf7NxoznXrumwZMldNDTEXHUDbN1qi7u7AYsX30NN7dM6pcyt3bWrEr6+BkyefBkVlY91inAeyOVw8GA9QkP1GTr0OEpKWULo+jdyOZw715ygIAPatl2LouLHKY+icP9+E7y9HejQYSWqqp+esP4MI/uf3pP9XIOAKlWqEBn5/zVa+/fv/09ebAGfpmjRbA4ejGfOHA3OnRM3nw7e7SeHcOmSFvv26UotJ08GDAjG0jKRRYsqCJ0y06ePJ8bGKSxZUk7YRuoA3bu7oaWVxsaN1YXVKZNBhw43UFHJZN++BsLGOshk0LTpeZSV07hypauwOgEqV76AkVEQ58/3JStLehMnvYIfiKqqKjo6Oh883uffi/jLly+TnJz8MyX+0pQpk8W2bQkMG6bFw4fiJtgDGBpmsWHDW5YvNxC2Pd67lJnERGU2bhQ7ZWbcuCdERqqxbZu43VsUFOQMGXKLkBAdjh4tL7WcPFFUzKZPn3MEBxty4YJ4gTvvUFDIplmz7URGmvPgQVOp5eSJTAYNGuwnM1MZF5cOkk8I/tNGtoAfj5NTJsuWJdGjhzY+PmKfTiVLprNkSSjTptng768mtZxcUVHJZvr0Rzx4YMyJE+JGnqqpZTNjxiNcXEw5f76I1HLyRF09k7Fjr+PiUpxbt8SNkFVXT2fgwFO4upbl2bOyn3+DRKiopNKy5QaePXPC07Oi1HLyRFExk+bNNxMYWBJ393qSahH7rviDkclkH+3HFuzPfj3OzumMHJlC5846hIWJPX516ybTr18w48bZEhsr5ur7XcrMvn023LtnJLWcPNHXT2PmTDe2brXl0SMxC38A6OsnM3r0dXbtqsTLl8ZSy8kTff0EfvvtFGfPNicgQNzqcjo6MbRsuYkbNzry9q3IE5dkWrXawMOHjfD1lW7i8p8OfPo3/y5GYWRkRIMGDVBVVQXgwoUL1KpVCw2ND5uA59UUvoAPmTZNA1dXZU6ejENLS4zAktyIiopm6VJrXr9WZ82aVygri3MJvD9m7u76zJ/vwIIF9ylePEFCVZ/mwQMjli4tx5Ild7G0/DDyVKSmAm5uRdiypRrTp1/AxCRB2PPT1bUwp0+3pH//zejrx0gt5wPeHzMfn/Jcv96Jjh2Xo6srzu/8b4KDi3PmzG84O6/9KEWuIPDpB9OlSxeMjIz+2a/t2LEjJiYmn9zHLSBvZs1KpmjRLAYM0CaXfgvCkLP36Y+SkpxVq8RdMVSoEE2/fp7MnetIfLy4wWWVK0fQtasPs2dXJClJTO8AQMWKQbRo4cHKlXVISRFXZ6lSL6le/Q7793clPV3MQioANjZPKF/+OmfO/EZGhrg6zc1fU6vWMc6c+Y2UFK2f/v3/0yvZAvKflBRo106HcuWymDAhEBG97/9fWEOJvn3tGTAgiBYtIj/zrp9DbjPrNWvKEBqqwezZD4QpZ/lv5HJYtqwcSUlKTJv2CIW/p+8irWQhR+fatTXJzpbRvfsJYc9PuRwOH+4IQIcOh4TR+e/zMye1px8KClk0abJDGJ25ceNGe6KizHB2XouCQk64ecFKtoBfDnV12LUrgStXlNmxQ09qOZ+kUKFMFizwZuVKK1690vj8GyRi0KCXpKYqsmOHuJG8MhkMH/6cyEg19u2zkVpOnshk8NtvdwgN1eHyZXEDd2QyaNPmBJGRhri61pRaTp7IZNCw4R4iI815/FjaAKPPUbPmMeRyGa6ueRcf+hH8ckY2ODiYHj16YGBggLq6OmXLluXhw4dSyyrgPQwN5ezbF8+6dYW4dElTajmfpFSpJEaOfMOkSSWJixPThaisnM0ffzzm6lUzXFxMpJaTJ6qq2Uyd+pjTpy25d0/cACM1tSxGjrzBtWuOvHwp7naBiko6nTvv5/btGvj4iDtxUVFJo0WLTbi5NSYgoKTUcvJEUTGbZs224e3tgKdnpZ/2vb+UkY2JicHJyQllZWXOnTuHh4cHy5Yto1AhcYur/69SokQ2a9aEMnlyYZ49U5Vazidp2TKS6tVjmTbNhixBCy0ZGKQxefJj/vyzDH5+P39f6UspXDiFiROfsHx5WYKCxPUOFC6cSM+eF9m1qwmRkeLGXejrx9Cu3VGOHm1HdLS497lChSJo2HAPFy/2Jj5eX2o5eaKhkUDz5lu4caMDERE/J/XslzKyixYtwsLCgm3btlGlShWKFi1K48aNKV68uNTSCsiFKlVSmDYtgkGDzAgOFnOV+I7Ro9+QlKTIxo3i5nyWKRNL795ezJ3rSEKCuONZoUIUnTr5MmdORcEDjN5Qt+5jtmxpQVqauDptbHyoXv02Bw50EToQqmjR55Qte5OzZ/uTmSluoJ6JyRucnI5z5kx/UlN//IT1lwp8Kl26NE2aNCEoKIgbN25gbm7OkCFDGDBgQK7Hf6pBQEHg089j8WJ1Tp5U4ezZeHR08j7dpE6pCA1VpF07S2bODKdx4w9TUaTW9g65HObPL0pEhArLlnkK2/BALodFi8qTnJzJiBEuwgbEyOWwenVtlJSyGTLk1md1SjXWcjls394MmUxO797nP9Ipyjkgl8vYv78LamqpODsfQyYTR9u/uXatE5GRetSrt/ifQKjP8Z8PfPL19WXdunWUKFGCCxcuMHjwYEaMGJFnHuuCBQvQ1dX952FhIW6Pyf8y48enUL58Jn37apGRIbWavDExyWLlylCmTCnM69dizsRlMhg3zp/4eCWhV90yGYwa9ZywMG1OnSojtZw8kclg4MDbBATocf58Kanl5IlMBl27XiYkxICrVx2llpMnMpmctm2PEhxszv37VaWW80lq1z5CZqYK7u6dfuj3/FJGNjs7G0dHR+bPn4+DgwMDBw5kwIABrF+/PtfjP9cgoICfg0wGK1YkkZkpY9w4TclriX6KKlVSGDo0mqFDzUhMFHP5paoqZ+FCb06dMuLqVXH36d4FGJ07V4qnT02llpMn6uqZjBp1g5Mn7XnxorDUcvJETS2D/v3PcPlyRaGb0quppdG58wGuX68rdFN6RcUsatdejb+/E/7+P25C8EsZWVNTU0qXLv3Bc6VKlSIgICDX4z/XIKCAn4eKCuzYkcC9e8qsXi1m3eB39O4dS6lSaUyeXFjYCYGxcTrz5vmwcGEx3rwRORAqkcGDXVm3zomwMHF1mpomMGDAbdaurUVkpLgR8cbGsXTvfomdO5sQFSXulpeRUQStW5/k8OGOJCToSS0nT9TVY6lVazUPHvQjJubHTFx+KSPr5OSEp6fnB895eXlhZSXubKmA/0dPT87+/fGsW6fO2bNiumMhZ+U9b14Yfn4qbN4s7krRwSGBAQOCmDPHkcREcQN3ypULoVmzl6xaVYfUVEGraQCOjsE0bOjJqlW1SU8XV6e9vT81az5j69YWQussVeoljo6P/g6EEvf8NDLypkKFA7i4jCItLf8nWL+UkR09ejR3795l/vz5+Pj4sHfvXjZu3MjQoUOlllbAF2Jtnc3mzQmMGKHFy5fi3iA0NHJ60G7aVAhXV3Wp5eRJhw5hlC4dw5Il5YXtmQrQqtULChdOYPPm6sJ6BwCcnZ9RqFAKW7dWFVpnkyb30NVN4uDB+kLrrFv3GmpqSVy/3klonTY2Vylc2ANX16FkZ+fvNtEvZWQrV67MsWPH2LdvH/b29syZM4eVK1fSvXt3qaUV8BXUrJnJH38k07OnNjExYu57AlhZZbBoUShjx5oQGipm6oRMBkOHviAmRpW9e8UtWPAuwCgwUI9z58QNMFJQgEGDXHn92pCLF8WtsKWgAD16XMDf34SbN8tJLSdPFBTkNGmyg+BgG54/F7tyVeXKO0hP1+Dp0475+tm/lJEFaNmyJc+ePSM1NZWXL1/mmb5TgNj065dG7doZDByoJWwBCIB69ZLp0iWO6dNthG16kFNp6RGnT1vx+LG4LedyAoxcOHHCHh8fQ6nl5ImGRgajRt3g6NFy+PqKO54aGun063eGs2er8/atmdRy8kRNLYUWLTZz+3bLn1YA4ltQVMykdu3V+PjUITg4/yYuv5yRLeC/w4IFSSQkyJg/X9zKQADDhuXk+W3ZIu4Nwtg4ldGjn7F0aXmio8WtsGVqGk/Png9Zu7YmSUliegcAzM3j6NHDjTVrapGUJG78gJlZNG3a3OTw4Q6kpYn7uxsavsXJ6STnzvUhPV1cnRoa0Tg5/YWKSnK+fWaBkS1AMlRVYdu2BPbtU+XkSXFvuEpKMHu2D0ePGuPmJm6EetWq4dSp85bFi8sL7R2oWdOPUqXC2Ly5mtD7dLVq+WJnFyb8PnK1ah6Ymwdz6lQroXWWKXMbY+NArl3rLLROU9MXGBn55NvnFRjZAiTF1FTO1q0JjBmjibe3uIbWxCSdyZP9mDmzODEx4kZK9u3rSWqqIgcOiLs/C9Cr131CQnS4dEncfU+A3r0f8PatLpcvi1v4XiaDli1PExJiyqNHIheqgPr1DxAWZsXLl9WklvPTKDCyBUhOtWqZTJ6czJAhpsTHi3tK1q0bQ61aMcyZU0zYmbiyspxJk9w5ccKKp0/FLdSuppbFsGE3OXKkHH5+IuvMZNiwmxw+XB5/f3F1qqqm0aHDYS5fbkR4uLgdkFRUUmnadDu3bjkTFSVuR6n8RNw7Wj6QlpZGfHz8B48CxKRfvzQqVkxl3DgToVNRRox4Q1iYKvv3i3uDMDFJYcSI5yxeXJ7YWHG9A0WKxNG16yP+/LMWKSni7ntaWMTSpctj1qypRWqquONpahpC3brXOHSoI+np4o6nsXEgVaue5fz5vmRkiKszv/ilGgR8LTNnzmTWrFkfPV/QIEBMQkJi6Nq1CHXqJDFypJhFxQF8fJTp0sWC7duDsbdPy/M4qQujL11qRWCgGitWeKLwr+m01NreIZfD0qXlyMxUYNIkd2QyiIqKklrWR8jlsG6dE6mpGbkW6BcFuRy2bGmBhkYq3bpd+eSxUp4DcjkcONAFDY1kWrc++dHropyf/yY9PZ0NGzb8dxsEfC0FtYt/LVRV5fz5Zwj79+ty+bK4pe1sbDKYODGS0aNNhK1vDDB8eAAxMcrs2iVuese7PF9fX23OnRO3Hq9MBn373iMoyIjbt+2llpMnMhl063YZb28LHjwQd79bJoM2bU7g61uMp0/LSi3nh/KfNrIFtYt/PczMMlmxIpQ//hC3Ew5Ahw7xlCmTxsyZxsLuz6qqypk3z5s9e0xxdxe3brCGRhaTJrmzfbstfn7iepjU1TPp0+ccp045ERwscv5sGr16nefIkTqEh+tJLSdP1NVTaN/+MOfONScqStzx/F7+00a2gF+TatVSGDz4XSccMU9RmQzmzAnn0SN1jh0T1zBYWKQxfrwf06fbEBsrblR08eIJ9O7txYIFFUhNFVdnkSKRtGhxm+3bm5GWJu4ksGjRUBo1esj27c3IyBC3fKmFRRA1a97k0KGOQtc3/h7EvIMV8D9Pnz6xlCmTyoQJhYUNhNLWzmbFihDmzzfC11fcG26jRtE4OcUyZ04xYccSoHnzAKytE9i+vYqw3gGAmjWfYWYWxcGD9YTWWa/eI3R0kjh+vJbUUj5JjRp30NZO4MKFJlJL+SEUGNkChEQmg7lzwwkKUmbDBnE74ZQvn8bgwdGMGmVKWpq4+7MjR74hLEyFffvEjYqWyWDkyOd4extx82YxqeXkiUwGXbpcwc/PlHv3Sn/+DRKRU9/4Es+eFcPdXdy8aZlMjrPzMTw9bXnxQtzx/FYKjGwBwqKuLmft2rds367HjRvill7s2zcWI6NMFi0Stx6vmpqcefN82L7dnOfPxQ0q09TMZOjQm+zZU5HgYF2p5eSJuno6ffqc4/jxWoSGips/q6WVQq9eFzhwoB5RUeLGpGhqJtOu3RFOn25FTIye1HLylQIjW4DQWFhksmRJGBMnFiYsTMy9JQUFWLw4jHPntHB1FXcyYGWVyqhRb5g504aUFDHHEqBYsWjatHnO+vU1yMwU9xZlaRlO48b32bWrsdA6bWyCqVXrKXv2NMr3Nm75ibX1G6pUucfx422F1vm1iHtmFFDA39SunYyzcwITJ4pbqMLAIIuZM8OZPNmYhARxL6vmzSMpWTKJjRvFbTcH0LTpS9TVMzh2TOz0jrp1H6Ounsb581WllvJJmjR5QHq6EteuOUgt5ZPUru1CZqYSjx/Xl1pKviHu3aCAAt5jzJgoYmMV2LZNT2opedKkSRJVqqQwb56R1FLyRCaDiRP9efjQiDt3xC2/p6AAAwfe4cqVknh5ieuGV1CAbt0u4epqj5+fuPvdiorZ9Ox5kUuXKgudfqSomE3btsd4+LARERHi5nd/Db+0kV24cCEymYxRo0ZJLaWAH4yKipzly0NZt06f58/FbZU1bVoEt25pcOWKuPueurqZjB79jNWr7YmOFrdMoKFhEj16PGTDBieh03r09RNp2/Ymu3c3Ji1NXJ2FC8fQvPkddu1qQmamuNsFhoaRVKt2lkuXepKVJe54fim/rJF98OABGzZsoFy5/GuuW4DYFCuWwYQJkYwZY0JSkph7Nrq62cybF8a0acZC56U6OkZSt24IK1eWFToNxcnJDyuraPburSi1lE9SufIrzMwiOXGiptRSPknNmk/R0Unm7Fmx3dvlyt1EQyOBu3ebSy3lu/kljWxiYiLdu3dn06ZNFCqUd3pHQYOA/x4dO8Zja5smtEu2Tp1k6tdPYskSa6mlfJI+fTyJiFDnzBlLqaXkybtyho8fm/P4sbnUcvJEJoPOna/x9GlxPDyspJaTJ+/c23fvluHNG3F1ymRyGjbci4dHdYKDxU0/+hJ+yQYBvXv3Rl9fnxUrVlC3bl0qVKjAypUrPzquoEHAf5OYGBl16ugyZ04ytWqFSi0nVxITZbRoUYQhQwJp1EjMYucA3t4aDB5cik2bXlC0aOonj5WyaPuDB4asXFmOv/66ha5u+kevi9JU4NEjc7Ztq8r8+afR1s7RKWKxeze3kpw8WZVBg9ajqpp3kwupefbMnitXGjJ48LrP6vwZ4/w/0SBg//79PHr0iAULFnz22IIGAf9NChWSs25dIuPHa/L2rZguWS0tOVOn+rJsmTWRkeJWgypRIpk+fd4yc6YNGRliuuABKleOpEaNUFavLiO0e9vRMZjy5d+yY4fYVasqVvSiSJEgzp9vKrWUT1K27PNfQuen+KWMbGBgICNHjmTPnj2oqal99viCBgH/XZycMundO6f/bFaW1Gpyp2LFBJo0iWTBgqJC33C7dg1BUzOLzZvFdccC9O/vyZs32ly6JLbO7t0f8vq1IXfvWkst5ZM0b36W16+L8+qVndRSPkmLFmd+CZ158UsZWTc3N8LDw3F0dERJSQklJSVu3LjB6tWrUVJSIkvUu20BP4QJE1JIT5cJXXZx8OAgAgPVOHNG3DQURUWYPv01x44Z4+4u7jaKmloW48Y9YfNmO0JD1aWWkyfq6pkMGuTKzp2ViI4WtziJunoKbdqc4NSpViQmihsN/6vozItfysg2aNCAZ8+e4e7u/s+jUqVKdO/eHXd3dxQVxQ1LLyD/UVaG5ctD2batEI8ff96zIQVqatlMn+7L6tVWhISImy5jYpLOuHFvmDmzOElJ4l5HdnZxtG79hmXLygnrwQCwtY2gdu3XbNpUTdgCKgDFi7+mTJnnnDrVWmhvS47OF8LrzI1fyshqa2tjb2//wUNTUxMDAwPs7cVtpFzAj8PSMoMpUyIYO9ZE2EpL9vaJtG0bxrx5YnfBadw4inLlEli+XNyoU4AuXV6Tnq7A0aNFpZbySdq3f0JsrDqurmKnGTZqdJmoKAMePxa7GlSjRpf+1ukotZSvQsy7UgEFfAVt2iTg4JDCzJnipvX07x9MbKwSR4+KW2UJYNw4fx480MHFRVwXvJKSnPHjn3LoUHGhm7yrqGQzaJArZ85UJzxc3GYHysoZtG17lEuXGgtdnP//dTYSWue/+eWN7PXr13NN3yngfweZDGbOjODxY3VOnBDzpquikhNtvHGjBeHh4kYb6+hkMXmyH4sXWxMfL67buEiRJLp29WHFirJkZYkbFW1lFUu9eo84cKCB0F4Mc/O3VK78gNOnWwntjv1VdL7PL29kCygAchqoL1sWyty5RgQEiGnE7OySad48guXLraWW8kmqV4+jSpU41qwRt0gFQOvW/igpZXP0qLXUUj5JgwZuJCWpcfduGamlfJLatV2Ij9fhyZMKUkv5JLVruxAXpyu8zncUGNkC/jM4OKTSu3csY8cWJiNDajW5M3BgEC9fauLioie1lE8ycmQArq563L8vbtqboiKMGvWcgweLExIipgcDQEkpm65dr3DqlBOxseJGxyopZdKq1UkuXmxMYqKW1HLyREkpk9atT/ytU9zxfEeBkS3gP8WgQdEoKcHatWI20tbQyGbcOH+WLrUmKUncy09XN5Nx496wYEFRkpPF1WlpmUj79n5s3lxdaHeslVUYVaq85PDhukK7OS0tA7G3f8a5c82klvJJcnQ+59w58Wsbi3v1FFDAN6CkBEuXhrJ3rx7374uZS1mrViz29ols2GAhtZRPUq9eNCVLJrNhQxGppXySDh18SUtT4sqVklJL+STNm9/h7VtD3N3FrsXboMEVgoKK8PKl2MUfGjS4TFBQEeGLVPynjWxBg4D/TczNM5k+PZyJEwuTmChmUMyYMW84f96QFy/EdXfJZDB+vD/nzxvy9KnI7kM5v/12h8OHyxMZKe54qqpm0rnzVY4cqUNSkrjtGlVV02nZ8hRnz7YgJUXM/HP4f51nzrQgNVVcnb9kg4AvpaBBwP8ucjn066eFoaGcJUuSPnhNlILt+/frsGePHkePBqD8d6yWKNre5/RpQ3btMmPVKhdUVMT1yW7fXhIfHx3mzHmI7AvmVlI1Fdi4sTqQ05Q+N0Q5B3btaoySUhZdu1755zlRtL3PsWNtUVTMpGbNHT/8u/4nGgR8DQUNAv53kclg8eIkTp1SwcVFzCYCnTrFo6mZzbZt4uakArRoEUnhwuns21dcaimfpFs3HyIi1Ll8Wezaxt26ufH0qRnPnplILeWTtG3rwvPnRfH0FHu7oEmTC3h62hEUVEJqKbnynzayBQ0C/rcxMpKzcGESI0dqkZAgtZqPUVCAuXPD2bChkLBpR5AzYZk0yZczZ6x4/VpcD5CKSjYjRz5jyxY7oqPFdcdqaaXTs+cDtm6tRmqquLnIWlqptG9/gwMHGpCeLuZEFUBDI5lmzc5x9WoXMjLEu47+00a2gALatEmnQoVMZs8Wc6/OxiadXr1imT7dWOioUzOzdHr08GblSrGLP5QuHUvdum/566/SQo9nlSoBWFlFc/hwBamlfBIHB29MTaM4e7aa1FI+SZkyzylUKIx798SLNi4wsgX8p/kV3MaDBsUQEqLEyZPirhIBWrZ8g4pKNkeOiF0zuHdvL16/1uHWLXHdsTIZ9O79AFfXYvj4iNuhSSaDjh2vc+9ead68EbckqEwG9eodxMOjGmFhYkXtFxjZAv7ziO42VlWVM2dOOAsWGBIbK+ZEAHLc26NGPePQoWIEBYnpGQBQV89ixIjnrFtXmvh48dyH7yhUKIXOnR+xeXM1MjLEvRXr6SXSsuVt9u1rSFaWyO7tWKpXP82VK93IyhJnPMVRUkABPxBn53QcHDKZNUtM41ClSgoNGiTx559izcL/jYVFEh06+LJqlb3QxR8cHKKoUiWcTZvEzqGsU+c1enopnDoldhex6tWfo6mZiqurk9RSPom9/W1UVVN49KiB1FL+ocDIFvA/w6JFSZw+rcLt22IWqRg7NhIXl0K8eiVuo2+A9u39SExU5vJlsaNO+/d/xcOHRrx4IW70tkwGffrc58IFO8LCxM1FVlCATp2ucft2DaE74MhkcurVO8CjRw2Ijxej6luBkS3gfwYjIzmLFiUxZYqYRSr09bPp0+ctq1ZZCR20o6QkZ9iwF2zdaktcnLjuWG3tTPr08eKvv0oLHaxlYpJA48av2LmzstC/e+HCMVSq9IALF5pKLeWT6OuHYW/vys2bbaWWAvxiRnbBggVUrlwZbW1tjI2NcXZ2xtPTU2pZBfxCtGmTTrlyqSxeLGbv2Y4dw4iIUOH6dXFXXwBlysRQrVoY27bZSi3lkzRqFISKSjZnzojdUahlyxe8fauLm5vY3oHatV0ICTHFy0vsEpaVK18gPNwSf//SUkv5tYzsjRs3GDp0KHfv3uXSpUtkZGTQuHFjkpKSPv/mAgr4mxkzIrh0SRNXV/HcxsrKcoYPD2DtWkvS08VdfQH06+fJ3buFhXbHKijA4MEv2L3bhpgYFanl5ImqahY9ez5k9+5KQuekqqhk0LTpec6da0ZGhsg606lV6xg3bnQgM1Nanb+UkT1//jx9+vShTJkylC9fnu3btxMQEICbm5vU0gr4hdDXz2LGjAimThXTbVy7dgxGRukcOlRYaimfREcng379XvHnn2XIzBRvHN9RsmQ8tWqFCr/qdnQMwsIilosXK0st5ZPY2b3EwCCKW7dqSi3lkxQv7o6eXgSPHjWUVMcvZWT/TVxcHAD6+rlvcBc0CCggL5o2TRTWbSyTwahRb9ixw5yYGHFXCwCNGgWjqZnBqVNWUkv5JL17e3H/vjEvX+pJLeWT9Oz5kJs3yxEerie1lDyRyaBZs7Pcu1eN6GgxgotyQyaD2rUP8/hxXeLiDKTT8as2CMjOzqZ169bExsZy69atXI8paBBQwKeIjJRRq5Ye69cnUqfOp7u8S1EYffJkY1RV5cycGfHJ46Qu2u7pqcHw4aXYt+8pBgYfjqPU2t7n7FkLzp2zYOXK2ygqStcg4HPs3WuDr68Zgwcf/6JGB1Jx5kw1AgON+f33k5/UKfU5cPVqfUJDTejade9HOr9W2/9Ug4ChQ4fy/Plz9u/fn+cxBQ0CCvgUhoZyFi9OYuRITRISxLubjR4dxalT2vj4iLuXCGBrm0zDhlGsXSt2jm+TJoHIZHD+vNhBUA0auBEVpcOTJ2L3nW3U6CFhYfo8e1ZMaimfpFatm4SHG+PlJc12wS9pZIcNG8bp06e5du0aRYrkHY1X0CCggM/RqlU6lSplMmOGeLmpxsZZ9O8fw8KF4pbde8fvvwdy+7ae0H1nFRVhyJAX7NpVQujUI2XlLNq3v8GxY7VISxNXp4pKJu3a3eDo0dqkpYm7raGs/H6w1s8fz1/KyMrlcoYNG8axY8e4evUqRYuKXUO1gF+DRYuSOH9ehevXxbuh9esXi7e3CjdvijcJeB9d3Sx+/z2IZcusycqSWk3e2NnFUa1aGNu3ix0EVbr0GywswrlwQewgKHt7P0xNo7h0SWydtravMDYO5+bNnx+s9UsZ2aFDh7J792727t2LtrY2oaGhhIaGkpKSIrW0An5hDAxy3MajRonnNlZTkzNuXBQLFhiSmSm1mk/TunU4ACdPiltIHqBvXy9u3y7M69fSBcN8Ce3auXD7dllCQ8UOLmrf/gY3b5YjLExPajl5IpNB06bnuH+/KlFRP3c8fykju27dOuLi4qhbty6mpqb/PA4cOCC1tAJ+cVq2TKdy5UxmzRJvxdiiRQKamtns26crtZRPoqgI48b5s2FDEeLixHUf6uqm07OnNzt2VCE7W6xJ1fvo6ydQv74bhw/XEboSlKFhPHXrPuboUbF16uvHULXqXc6da/5Tdf5SRlYul+f66NOnj9TSCvgPMH9+EidOqODmJpaBUFCAadMiWLPGgNhYsS/ZsmUTqVEjlk2bzKWW8kmaNQsgO1uGi0txqaV8kvr1HxMXp8XjxyWklvJJGjZ0IzJSl6dPxR7PmjVvERVlwKtXP69xhNhXbAEF/ESMjORMnpzMhAmawu0rliuXRu3aSaxfL67r8B2DBgVy7pwhAQGqUkvJE0VF6N7djcOHy5OaKtak6n2UlLJo0+Ymp045kZEhbps5ZeUs2rS5xcmTTmRmiqwzk8aNL3LpUuOf1ravwMgWUMB79O6dRnY27N4tnoEYNSqKgwd1CA4W1ygAGBtn0KFDGOvXi53SU6pUGMWLR3L2rPT1bT9FmTL+GBrG4uJSXmopn6RsWV/09BK5ebOc1FI+iZ3dS7S1E7h//+cEaxUY2QIKeA9FxZxo4/nzNYiOFmu/rkiRTDp0iGflSrEDdgB69gzh0SMdXr0Sex+5c+fHXLhgR2yseHWs3yGTgbPzLS5dqkRCgug6b3LxYmUSE9WklpMnMhk0aXKBmzdrk5Ly42MwCoxsAQX8iypVMmnUKJ1588QLgho8OJrr1zV5+VLsAhVaWln06fOWrVvthA6GMTOLp3p1P44cEXv1ZW4eSblyrzl3rqrUUj6JhUUE9va+XLhQRWopn8TM7C0lS3rx4MGPb9tXYGQLKCAXpk9P5sQJFdzdxdpfKlQom99+i2HpUvELVLRrF0ZEhBr374tXH/p92rZ9yv37lgQGir3qbtHiDo8e2RISIva+fIsWd7h/vxRhYeJ2ZwKoX/8qL19WJSbmx6ac/aeNbEGDgAK+FWNjORMmpDBxoibZ2VKr+ZDevWPx8lLh9m1xXYcAKipyevXyYvt2W+ECyd5HVzeN5s1fsn+/o9RSPomubjL16j3ixAmxu9/o6SVRt647J086SS3lk+joxFO+/HVcXdv80O/5TxvZBQsWoKur+8/DwkLsQIwCxKJfv1RSUmTs2ydWEJSampyRI6NZssRQuAnAv6lTJwRl5WyuXBGvGbmBgcE/j27dwggONuDNm5IfPP/vx89AX18/z0e7dv6EhRkRFFTmg+dFo359NwIDjfH0FO93fx9HxyuEh1sSGPjjmtD/p41sQYOAAr4HJSVYuDCJOXM0iIsT61Jp2zae9HQZZ8+KWysYcnJ8+/b1ZNeuEqSmijWG76Omlk3v3l5s2WIn9KpbVTWLTp3c2bu3IllZYgXmvY+qaiYtWtzhxIlaQhf8UFFJ/7/2zjwuqur9458BWQTFXRARxD3NBRVxKVFRsTQ1KyxJTK00xbVyS1PTtMw1K7Vy+VbuuaGmZW4t4i4iLoiKS4pLLiAg28zz++P5zQwjA8zgvTHg8369fMk9c+/nPPfec89zzznPORctW27DX3/1VM1O2y31CiAfCBCelNats9CuXSYWLLCtiF5eXeku5s6tiIwM263EAMDP7y58fB4iIqJ6YZuSJ+3bX4dGA+zZY9sLabRqFQ9HRy3277fthR/8/c9CoyGcPNmksE3Jk2eeOQyNhnDunDpBZcXayQqCEkyZkoKIiNI4c8a2InrbtUtBlSqZ2LTJttcKBrg1+/PPvkhKsr2PMOixtwcGDjyHH36og7Q02wp4y46dHRAaehQbNjTGo0e2ez3t7Hjq0Z49HZCRYVvPTnY0GsJzz21GZGRXVewUJysI+eDhQRgy5B4++aSyTU1H0WiAMWP+xfLlVZGcbLtOAQBq1nwIf/87WLPGtltffn53UbNmEjZssO0vfNWtewd1697G1q0NCtuUPKld+x9UrXodf/9t20FQXl5xcHe/guPHOyquLU5WECygb98HSEqyw+bNpQvbFBMaN05H06ZJ+OmnKoVtSr6EhcXh11+r4dYt246KHjjwHDZvro5//7WtgLfH6d37BH7/vQ7+/de1sE3Jk06dduHQoQAkJtr2cF2bNltw8mQgHj4sq6iuOFlBsAAHB2DKlDs2Of45ePA1ODraeJgxAHf3RwgLO2/TXcYAUK1aCt544wISE223ixMA3N2T8corJ/HwoW2/DFSocBeBgfuRmmp7i7tkp1y5O2jRYifS0pQNJtQQ2VIHmLokJSWhTJkyiI+PR+nSttUiEWybe/fuFbYJuSK2/XfcvXu3sE0wiy1f5+JkW0ZGBpYsWYLExESLA2mlJSsIgiAIKlEknezXX3+N6tWrw9nZGQEBATh8+HBhmyQIgiAIOShyTnbt2rUYPXo0Jk+ejOPHj6Nx48YIDg7G7du3C9s0QRAEQTChyDnZuXPn4p133kH//v1Rv359LF68GC4uLli2bFlhmyYIgiAIJtj2158fIyMjA8eOHcP48eMNaXZ2dujYsSMiIyNz7J+eno709HTDdmJiIgDg4cOH6hsrFCuSk5ML24RcSUlJKWwTciU1NbWwTVCUR48eFbYJZklLSytsE3Ilex1sa2RkZBRof2vihYuUk/3333+h1Wrh7u5uku7u7o5z587l2H/mzJmYOnVqjvRGjWz725GCIAiC7fLw4UOUKWPZpxGLlJO1lvHjx2P06NGGbZ1Oh3v37qFChQrQaEznOyYlJaFatWq4du2axaHZxekYW7VLjrHtY2zVLjmm+B1jC3YRER4+fAhPT0+LtIAi5mQrVqwIe3t73Lp1yyT91q1b8PDwyLG/k5MTnJxMJ2qXLVs2zzwK8iGB4nSMrdolx9j2MbZqlxxT/I4pbLssbcHqKVKBT46OjmjWrBl2795tSNPpdNi9ezdatWpViJYJgiAIQk6KVEsWAEaPHo1+/fqhefPmaNGiBebPn4+UlBT079+/sE0TBEEQBBOKnJPt3bs37ty5g48//hg3b95EkyZNsHPnzhzBUNbi5OSEyZMn5+heflqOsVW75BjbPsZW7ZJjit8xtmpXfjxVaxcLgiAIwn9JkRqTFQRBEISihDhZQRAEQVAJcbKCIAiCoBLiZAVBEARBJcTJQv1P582cORP+/v4oXbo0KleujJ49eyI2NlbRPMzx2WefQaPRYOTIkYprX79+HW+++SYqVKiAkiVLomHDhjh69KiieWi1WkyaNAm+vr4oWbIkatasiWnTplm1bqg5/vjjD7z00kvw9PSERqPB5s2bTX4nInz88ceoUqUKSpYsiY4dOyIuLk7RfDIzMzF27Fg0bNgQrq6u8PT0RFhYGG7cuKHouWRn8ODB0Gg0mD9/vqLnoufs2bPo3r07ypQpA1dXV/j7++Pq1auK5pOcnIzw8HB4eXmhZMmSho+EWIMlz2NaWhqGDh2KChUqoFSpUnjllVdyLILzpPncu3cPw4YNQ926dVGyZEl4e3tj+PDhhjXWlTwfPUSEF154Id+y8iT5REZGokOHDnB1dYWbmxvatm1r1ZrPluRz8+ZN9O3bFx4eHnB1dUXTpk2xYcMGq85n0aJFaNSokWHRiVatWmHHjh2G35UoA4A42f/k03n79+/H0KFDcfDgQezatQuZmZno3Lmzqgu7HzlyBEuWLFFlneb79++jTZs2cHBwwI4dO3DmzBnMmTMH5cqVUzSfzz//HIsWLcJXX32Fs2fP4vPPP8esWbOwcOHCJ9JNSUlB48aN8fXXX5v9fdasWfjyyy+xePFiHDp0CK6urggODrZ6Efa88klNTcXx48cxadIkHD9+HBs3bkRsbCy6d++u6Lno2bRpEw4ePGjVcnDW5HPx4kU899xzqFevHvbt24fo6GhMmjQJzs7OiuYzevRo7Ny5Ez/99BPOnj2LkSNHIjw8HBERERbnYcnzOGrUKGzduhXr16/H/v37cePGDfTq1cuqc8kvnxs3buDGjRuYPXs2YmJisGLFCuzcuRMDBw5UNJ/szJ8/P8eSskrmExkZiS5duqBz5844fPgwjhw5gvDwcNjZWe5qLMknLCwMsbGxiIiIwKlTp9CrVy+EhITgxIkTFufj5eWFzz77DMeOHcPRo0fRoUMH9OjRA6dPnwagTBkAANBTTosWLWjo0KGGba1WS56enjRz5kzV8rx9+zYBoP3796ui//DhQ6pduzbt2rWLAgMDacSIEYrqjx07lp577jlFNc3RtWtXGjBggElar169KDQ0VLE8ANCmTZsM2zqdjjw8POiLL74wpD148ICcnJxo9erViuVjjsOHDxMAunLliqJ5/PPPP1S1alWKiYkhHx8fmjdvXoH088qnd+/e9Oabbz6RriX5NGjQgD755BOTtKZNm9JHH31U4Hwefx4fPHhADg4OtH79esM+Z8+eJQAUGRmpWD7mWLduHTk6OlJmZqbi+Zw4cYKqVq1KCQkJFpXHguQTEBBAEydOfCJdS/JxdXWlH374wWS/8uXL03ffffdEeZUrV46+//57RcvAU92S1X86r2PHjoa0vD6dpxT67qDy5curoj906FB07drV5LyUJCIiAs2bN8drr72GypUrw8/PD999953i+bRu3Rq7d+/G+fPnAQAnT57EX3/9hRdeeEHxvPTEx8fj5s2bJteuTJkyCAgIULVMAFwuNBpNvutrW4NOp0Pfvn3x4YcfokGDBorpPp7H9u3bUadOHQQHB6Ny5coICAiwujvSElq3bo2IiAhcv34dRIS9e/fi/Pnz6Ny5c4E1H38ejx07hszMTJMyUK9ePXh7ez9RGbDkuU9MTISbmxtKlCj4OkHm8klNTUWfPn3w9ddfm13nXYl8bt++jUOHDqFy5cpo3bo13N3dERgYiL/++kvRfAAuB2vXrsW9e/eg0+mwZs0apKWloV27dgXKQ6vVYs2aNUhJSUGrVq2ULQNP5PaLONevXycAdODAAZP0Dz/8kFq0aKFKnlqtlrp27Upt2rRRRX/16tX07LPP0qNHj4iIVGnJOjk5kZOTE40fP56OHz9OS5YsIWdnZ1qxYoWi+Wi1Who7dixpNBoqUaIEaTQamjFjhqJ54LE3+r///psA0I0bN0z2e+211ygkJESxfB7n0aNH1LRpU+rTp4+iecyYMYM6depEOp2OiEiVlqy+ZeTi4kJz586lEydO0MyZM0mj0dC+ffsUy4eIKC0tjcLCwggAlShRghwdHel///tfgfMw9zyuXLmSHB0dc+zr7+9PY8aMUSyfx7lz5w55e3vThAkTCpRHXvm8++67NHDgQMN2fuWxIPlERkYSACpfvjwtW7aMjh8/TiNHjiRHR0c6f/68YvkQEd2/f586d+5sKAdubm7066+/Wq0fHR1Nrq6uZG9vT2XKlKHt27cTkbJloMgtq1jUGTp0KGJiYp747c4c165dw4gRI7Br1y6rx8KsQafToXnz5pgxYwYAwM/PDzExMVi8eDH69eunWD7r1q3DypUrsWrVKjRo0ABRUVEYOXIkPD09Fc2nsMnMzERISAiICIsWLVJM99ixY1iwYAGOHz9e4HE4S9DpdACAHj16YNSoUQCAJk2a4MCBA1i8eDECAwMVy2vhwoU4ePAgIiIi4OPjgz/++ANDhw6Fp6dngXpu1HwercknKSkJXbt2Rf369TFlyhRF84mIiMCePXusGq8sSD76cjBo0CDDWvJ+fn7YvXs3li1bhpkzZyqSDwBMmjQJDx48wO+//46KFSti8+bNCAkJwZ9//omGDRtarF+3bl1ERUUhMTERP//8M/r164f9+/dbbWeeWO36ixHp6elkb2+f440uLCyMunfvrnh+Q4cOJS8vL7p06ZLi2kREmzZtIgBkb29v+AeANBoN2dvbU1ZWliL5eHt7m7wVExF988035OnpqYi+Hi8vL/rqq69M0qZNm0Z169ZVLA889kZ/8eJFAkAnTpww2a9t27Y0fPhwxfLRk5GRQT179qRGjRrRv//+W2B9c3nMmzfPcO+zlwc7Ozvy8fFRLJ/09HQqUaIETZs2zWS/MWPGUOvWrRXLJzU1lRwcHGjbtm0m+w0cOJCCg4Ot1s/tedy9ezcBoPv375uke3t709y5cxXLR09SUhK1atWKgoKCDD1QBSG3fEaMGJFrOQgMDFQsn0uXLhEA+vHHH03SQ0JCCtRDk1s+Fy5cIAAUExNjkh4UFESDBg2yOp/HNd59911Fy8BTPSb7X306j4gQHh6OTZs2Yc+ePfD19VVMOztBQUE4deoUoqKiDP+aN2+O0NBQREVFwd7eXpF82rRpkyOk/vz58/Dx8VFEX09qamqOqER7e3vDG7Ma+Pr6wsPDw6RMJCUl4dChQ4p/TlHfgo2Li8Pvv/+OChUqKKrft29fREdHm5QHT09PfPjhh/j1118Vy8fR0RH+/v6ql4nMzExkZmY+cZnI73ls1qwZHBwcTMpAbGwsrl69alUZsOS5T0pKQufOneHo6IiIiIgC9UDll8+4ceNylAMAmDdvHpYvX65YPtWrV4enp+cTl4P88klNTQUAVeoGnU6H9PR0xcoAgKe7JUtEtGbNGnJycqIVK1bQmTNn6N1336WyZcvSzZs3FcvjvffeozJlytC+ffsoISHB8C81NVWxPHJDjTHZw4cPU4kSJejTTz+luLg4WrlyJbm4uNBPP/2kaD79+vWjqlWr0rZt2yg+Pp42btxIFStWLPC4mJ6HDx/SiRMn6MSJEwTAMI6oj+r97LPPqGzZsrRlyxaKjo6mHj16kK+vr9WtjLzyycjIoO7du5OXlxdFRUWZlIv09HTFzuVxCjomm18+GzduJAcHB/r2228pLi6OFi5cSPb29vTnn38qmk9gYCA1aNCA9u7dS5cuXaLly5eTs7MzffPNNxbnYcnzOHjwYPL29qY9e/bQ0aNHqVWrVtSqVSurziW/fBITEykgIIAaNmxIFy5cMNnHml6ngtQvKMCYrCX5zJs3j9zc3Gj9+vUUFxdHEydOJGdnZ7pw4YJi+WRkZFCtWrXo+eefp0OHDtGFCxdo9uzZpNFoDGOqljBu3Djav38/xcfHU3R0NI0bN440Gg399ttvRKRMGSAieuqdLBHRwoULydvbmxwdHalFixZ08OBBRfUBmP23fPlyRfMxhxpOloho69at9Oyzz5KTkxPVq1ePvv32W8XzSEpKohEjRpC3tzc5OztTjRo16KOPPrLKCZlj7969Zu9Hv379iIin8UyaNInc3d3JycmJgoKCKDY2VtF84uPjcy0Xe/fuVexcHqegTtaSfJYuXUq1atUiZ2dnaty4MW3evFnxfBISEuitt94iT09PcnZ2prp169KcOXMMgV2WYMnz+OjRIxoyZAiVK1eOXFxc6OWXX6aEhASrziW/fHI7VwAUHx+v6PmYO8ZaJ2tpPjNnziQvLy9ycXGhVq1aWf2iZUk+58+fp169elHlypXJxcWFGjVqlGNKT34MGDCAfHx8yNHRkSpVqkRBQUEGB0ukTBkgIpJP3QmCIAiCSjzVY7KCIAiCoCbiZAVBEARBJcTJCoIgCIJKiJMVBEEQBJUQJysIgiAIKiFOVhAEQRBUQpysIAiCIKiEOFlBEARBUAlxsoIgCIKgEuJkBUEQBEElxMkKwlNM//79MXHiRJO0yMhIaDQadO3atZCsEoTig6xdLAhPKVqtFh4eHti+fTtatGhhSH/77beRmpqKjRs34tKlS/D09CxEKwWhaCMtWUEohnh5eeGbb74xSTtw4ABcXFxw5coVw7aDgwP8/f0N+yQnJ2Pt2rUYOXIk2rdvjxUrVlitKwiCEXGyglAMCQgIwJEjRwzbRISRI0di1KhRhg9oR0RE4KWXXoJGozHst27dOnh4eKBFixYIDQ3FsmXLkL2zyxJdQRCMiJMVhGJIy5YtTZzhjz/+iGvXrmH8+PGGtC1btqB79+4mxy1duhShoaEAgJ49eyIhIQH79++3SlcQBCPiZAWhGNKyZUucPXsWycnJSElJwYQJEzB9+nSUKlUKAHD27FncuHEDQUFBhmNiY2Nx4MABg5MtVaoUevTogaVLl1qsKwiCKeJkBaEY0qxZM9jZ2eH48eP4/PPPUalSJfTv39/we0REBDp16gRnZ2dD2tKlS+Hv74/atWsb0kJDQ7FhwwYkJiZapCsIginiZAWhGOLi4oKGDRtiw4YNmD17NubNmwc7O+PjvmXLFvTo0cOwnZWVhR9++AF9+vQx0encuTNcXFywevVqi3QFQTClRGEbIAiCOrRs2RILFy5Ejx490K5dO0P67du3cfToUURERBjStm3bhlu3buHZZ59FTEyMiU7btm2xdOlSDB48OE9dQRByIk5WEIopjRs3hoODA7744guT9K1bt6JFixaoWLGiIU0/7tqpU6dc9aKjo9GoUaNcdQVByIk4WUEopqxZswbh4eGoVauWSbq5qOKtW7c+sa4gCDkRJysIxQidToc7d+5g6dKliIuLw5YtW3Ls89xzz+GNN95QXFcQhJzIsoqCUIzYt28fOnTogHr16mH58uUICAiwaV1BKO6IkxUEQRAElZDYe0EQBEFQCXGygiAIgqAS4mQFQRAEQSXEyQqCIAiCSoiTFQRBEASVECcrCIIgCCohTlYQBEEQVEKcrCAIgiCohDhZQRAEQVAJcbKCIAiCoBLiZAVBEARBJcTJCoIgCIJKiJMVBEEQBJUQJysIgiAIKiFOVhAEQRBUokRhGyBYRlpaGjIyMgrbDEEQBMVwdHSEs7NzYZuhKuJkiwBpaWnwLV0aN7OyCtsUQRAExfDw8EB8fHyxdrTiZIsAGRkZuJmVhbj69eFmb6+IZmpEhCI62bl//77Na6ph47179xTXLArnXRQ0i8K9UUOzKNgIADdv3kRGRoY4WcE2cLO3V8zJlnBzU0QnO1kqtLSV7iJPT09XVA/gngZb13z06JGiegB39SmNg4ODTesBQIkSylebdnbKhsdoNBpF9YSCI4FPgiAIgqAS4mQFQRAEQSXEyQqCIAiCSoiTFQRBEASVECcrCIIgCCohTlYQBEEQVEKcrCAIgiCohDhZQRAEQVAJcbKCIAiCoBLiZAVBEARBJcTJCoIgCIJKyNrFRYgkrVYxrdSkJMW09Dx8+FBxzZSUFEX1UlNTFdVTS1PptYbVWF9ZjU8vZmZm2rQeoM4a3TqdTlE9IlJUTyg44mSLAI6OjvDw8EDtM2eUE/X1VU5LEAShAJQq5QEi5T80YUtoSF55igRKfrQ9KQmoVg24dg1Q6mM8RUGzKNiohmZRsFENzaJgoxqaRcFGo6YjEhOdFdO0RaQlW0RwdnZW/JuLbm7KPTBFSbMo2KiGZlGwUQ3NomCjGppFwcanAQl8EgRBEASVECcrCIIgCCohTvYpxMkJmDyZ/3+aNIuCjWpoFgUb1dAsCjaqoVkUbFRL0xaRwCdBEARBUAlpyQqCIAiCSoiTFQRBEASVECcrCIIgCCohTlYQBEEQVEKcrCAIgiCohDhZQRAEQVAJcbJPETodoOCHfHJFjUlhT/tEMyJlr4HSempp6nVtWU8Q8kLWLn5KOHMGmDEDuHkTqF0b6NsXaN1aGe2EBF44/P59oGNHwN7eNjWvXQPOngVu3wa6dgVcXQHHJ/gAiNJ65khP58n6WVmAg4Pt6aml+egRa2ZmKrNYgdJ6ly8Du3YBdna8cH7nzk+H5sWLwM8/83WsXh14880nt1ENTZuChGLPuXNEZcoQvf460bhxRI0bEzVvTrRgwZNrnzxJ5ONDVKcO51GvHtGqVUR379qepocHUcOGRG5uRN7eRNOnE127Zht65oiJIXr5ZaKOHYmCg4n27ydKT7cdPbU0T50iCgoiatmSqEEDoh9/JLp+3Xb0oqOJKlRgvZo1iUqVInr7baIbN4q35qlT/DwGBhL5+xM5ORF17Up08GDBbVRD09YQJ1vM0emIJkwgCgkxpiUlsUNo0oTo888Lrn37NjvACROILl7kiqt3b6JnniGaPJl/twXNe/eImjYlGjOG6NYtIq2W6P33iQICiMLCiC5fLlw9c5w/z8773XeJPvyQ6NVXiTQavgZXrhS+nlqaFy8SlStHNHQo0cKFRMOG8fa77xIdPVr4eg8fErVqxTpERAkJRDt2EJUvT9SlC9GFC8VTMzWVX6KGDOHtR4+IzpwhqlWLqG1boj17rLdRDU1bRJzsU8Bbb3GhzU5SEtHs2dyi/emngumePk1UvXrOymrsWG7hzZpFlJJS+JpXrnDL+PffTdMXLuSKaMgQojt3Ck/PHBMnEnXubJr25ZfcMhk7lujmzcLVU0tz9uycZXXlSqJGjfgF5tSpwtV79IhfsNasMU2PjSWqWJGoZ0+irKziqdmmDT9/RESZmfz/9et8LQMDC9aLo4amrSGBT8UYfYBH06Yc8BQba/ytdGlgwADAzw/45hsgNdV6/cxMHofTH/voEf//2WdA+/bAokXAhQumtuRHerrymnZ2gIsLcOMGb2dl8f/h4UCvXsDevcDff1uuqbSeOfTnnV1/2DDg00+Br74CNm3iNJ2ucPTU0gT4Y97Jycbj+vQBJk0CIiOBNWs43ZrrqqSeVgvcumX6LGVmAnXqALt38/jnzJmW26aGJpGymlotkJbGz+alS5xWogSQkQF4egK//gqcOgV8/rnlNup0ymvaLIXt5QX1uXCB314HDOBuJCLuRiYiunqVu/h27CiYtr8/Ufv2xu20NOPfzZvzOHB+3LjBLdjsxz2pZkqK6dhg9+5Efn5EDx7wtv6tmYjohRdM87OEbt2U1XucBQuISpc2jh1mP5epU3l87epVy/W+/FJZPbU0164lKlmS6PjxnJqLFhE5OvI4sKWsXq2sHhHRnDlEXl5EW7ca0zIy+P/p03nY4O5d4zNmCXPnPrlm9jKohObt26a/bdjAY6Y//GBMe/SI///hB+6BunLFuvNev155TVtDWrJPATVrAuvWAStXAuPGAf/+C2g0/JuDA9CoEVCmTP46KSnAw4fcMtCzZAlw+jS3DgBjlCkAtG3Lx+TF9etAw4bAxInAwYOc9t13/BZbUM2YGCAkhPX0+y5dCjx4ALz2Gr8tl8gWVx8czPq5TW/65x++fhs3AidOcNry5QXXs4TBg7mX4ZVXgLt3OWo5LY1/e/ddoFw54OhRy/Xefhto1uzJ9O7dA+7cMW4PHPjkmhcucIs3PZ23Q0KALl2AHj04atvR0fjb4MGAtzewZ0/ueqmpHJGub2W//jpH1BZULyEBOHyYW1b6+9mrF9CqFTBrFvDbb5ymj6quWJGfD2dn4zP2OHfvAufOGcs7AHTqBLRpU3DN2Fh+hi5eNKZ16VJwzZgY4PnnuedI3wPQrh0waBAwZQqwejWnOTvz/6VK8bV1dc3dxkuXgPnzgfffB/78k+9Rx45PplkUECf7lNC+PbB+PfD991yo167l6ScLFnDlU61a3sefOcOVS2Ag8Mwz7LAB/nvBAu5+eu017pKy+/9Sdfs2PyBZWbl3x8XFAYmJ/G/RInZiTZpwd+POncDLL1unefo0Vw5eXoCvL+8LcKWyahX/3rkz56t3CKdOcfe5Oad46hTw3HPAF18AQ4bw9y/PnzfqnT1rnZ45zp8Hxo4F+vfnaxkXx5XL5MlcwfXuzQ5OX/k4OfF55TZdJj4emDePK7O1aznN2Zm3NRrr9QCuIP39gYULjd3kLi7ABx/wvSmIZnQ0TyPbsYMdj/5+TpvG969lS37B0U+5SU3l61qunHm906fZjjZt+AVt61ZO//RTdqbW6kVHszPt25d1GzTg7uWqVYExY/jFdOJETgO4nF66BFSunPu9P3UKePFFoGdPdvzBwZz+7LPAO++wLZMmWa5JxM6qb192prNnA1ev8m/PPGPUtMbOc+f4ZbZrV6BbN+OzV748vzx16ACMGsVlIS2NX2SPHmWnaJeLRzl1iq/lb78BmzezvXFxQNmy/ALYsaP1mkWGwm5KC/8tx45xQIGPD4f116lj7ErLjdOnOZhl1CgOGhk9msjBwXhcSgpRRAR3TdWrx0EVISFErq75B5bcvctduUuWcKBGnz4ctUpEtHkzUf36RHXrWqaZnMyBOO+9Z0w7e5boxAljAEVMDGvWrk3UogVRjx7crXnyZE69y5eJqlblaU/JyUS//MLTdg4dMu5jjZ45Tp/mKQxduhC98gr/3aGDsfts61bW9fUl+vVXjricOJHtMBfBGx3N9yEoiKh1ayI7O6LPPuPfsrKI1q3j4CxL9fQsXszDCn5+RJ9+auwizsri4BprbCTidG9vjko2R3Q00fPPE5Uty2Vj9Wq+DxUqcMSwueuojyJevJgDat54g3/T6YiOHOEAKEv1cotyr1OHu8LT0oiioogGDyYqUYKnxbVsyTacOGH+nM6d42GbceOIIiP5WtWowUFiev7+m8uvpZp6Jkwg6t+fu8bfeMM0ejgqimjQIMs0tVqOvO7f37j9xx9ES5fyc5mezkF9n3zCXe21arFmpUq51yM3bvDsgClTjMFW9esTffWVcZ9r16zTLEqIk30KSUwkio/niiy/KNi7d9lxDR9umt6unXF6gJ6kJJ7W8vbbROHhpuOs5sjK4sqsTh2if/4h2riRx3gHDuQXgZAQ1vzgA8s009KInnuOH8ysLJ4e4O/PTi8ggOj77437fvklV3aTJ3PlZ44lS/g8s48Hvfgip69YQbR3r3V6j5OeTvTmm0TvvGNMi4vjytzfn/Mh4mkNb7zBlU6dOjzX89ixnHqXL3MFNWYMV45EXDm6uxtt0um40g0NzV8vOydPEvXrx2N5np5E06YR/fuv8ffz5/kFyVLNrVv5WhLxOOFHH/GL1IABPCeaiO/n8OFcQdety/fQXKWbmsrHjhhhTNuyhefvJiQYx/Qt1SPKO8q9QQOOWtbp+OUrMpKvx+LFfP/M8fAhl2f9dBUivkfDhvFL5uP7WqKp1yDic//6a7bbyYkjp5OSePz41i1+EbZEMyuLn6H//Y+3AwOJmjXjl78aNfilIiGBfztzhsvXmjVcn+TGX38RPfus8eWZiMv4Bx9wmVm+3HrNooQ4WSFPbt7kVsoff/C2/qHu358raiKubPTpeh7fNofeeYWGEu3cyX9v385v+6VKmTpFSzRv3uRK/rffuNUdHMzOYccObjF5eBgrcEtYvJgrFn1FPH06t+Y6duQArMqVib791nI9c3TqxC0HIuP1uHKFp121acOtZz1nz3KLytyLkVbLLdYuXYzBWETGlq05x5+X3uNERXFrXafjlly1akTz53PLfdIk6zWnTuUWFRFfz3bt2FF06sStmAkTjPv+8w/R/fv8zxxaLbd6p041pn3wATvJqlVZe/x4y/X05+vlZSz3qanG34YP554gS3sriNhxDhyYs7ysXctT09LTjS8DBQny2bGD9YmIDh9mR1u9OlGVKkSXLlmn1asXB95NmsQv2BcucFDV/Pl8z6ZOzRlklRfbt/OzsmMHn+OsWdwTNmwYBwk2b85/JyZaZ2dRQZyskC/Z30D10YkTJxL17Wu6X/aHxJqKIiyMW4FEXFGUK8fdSQMG8Nu3pZo6HUceh4dz9K/ecRNxd9Sbb/KbeGam0WHnpXnpEne51qrFXbkaDXdh63TcOhg+nCvwO3cs08tOVhZfy/79eRGHtDTTl5WLF7lbN/siIvlp799vvI56tFqubLO3ugtK587G1sWsWdx1X6aM6XW25OWKiGjXLu4W//57dqz//MPpDx4YHXB0dP6aWi2Xu+Bgbrl+/TU71JIluYW0YwfrNW3KPSXW2KhE5Hx2O7MvUqK/l3onm53kZMs0s5eH3bu5da5/GXjhBR4qeOEFYyvREhuJ+Blp0oRffvW9KXo++IB7AvT1gKW0b88OPyiIXwCyz2b47DMeOijoAia2TlEfUhb+A2rX5v91OmMgCxEHIemZOZODqvRRwJZEA+oDXTp04GCUIUOAX34Bjh0Dpk8H9u8H/vc/YzRofpoaDQf3LF8ObN/OUb96vLwAd3cO4LK3NwZT5KXp6wv89BMHzjz7LEfR9ujBx1SuzPP57t83Dc7Iz0Z9oIm9PV/Lfv04unbJEj7Wzo73qVGDr+nPP3NAT27a2QNX2rY1zn3MHhSm0XCwi57du02jhPPSzE5GBvDHH/x3bCyfQ8mSHCCkD4bKLUjlcU0vLw6wmTuXba1aldPLlOEAsOhojnDNTVOvZ2cHuLkBU6dyANDff3MU+FdfAW+9xRG2gwZxRL1+zqg5PTUi57Nr2tkBPj6crtMZ76Wdnek84vff54jo3O5Bds3s5eGZZ/g5LVmS57+fOgUsW8ZRvIMGcRS/JTYCwJw5fE9WrQKuXDHdv3NnDsrL69zNXcs9ezjwctgwfpb8/U2vZfbI9OKGOFnBYuzsTCtv/UP58cfARx8BQUGmU1nyQ19J+PoCn3zCzmbrVt5++WWOlBwzxroF3Zs352hVAPj2W6ODAoyT8fUPtyX4+vK0Ei8vrsSzO+5bt3hBc2uiiOfP52khegIDecL9qFH8kgIYP4ZQujRQt64xQtoSPf390Wj4PB89Yj03N06fMIGni2R3uvlp6vcNCOB7Pnw4X+OoKP57yhSOXM3tOpjTrFeP78/58+xQIyONv7m7cyRw+fKW6wUE8AvJDz/wcaVKGX8rX56vo/4aPB6VrkbkfG6aRKZO3sXFWB4nTOAI+48+Mv9BjNw0AX7pe/iQX/x++YWfpX79+O9Dh8y/oJnT02rZpiVLOJp69WqevqR3qr/+yhHBuX0Iw5ym/vzatOFnOSMDqFDBWFds3MialSqZ1yzyFHZTWiha6LuUJk/mscQvvuDun/wCZ/IiI4ODHfRjXEpMPN+/nwN0WrTgLui+fblr09pl9PToo4BnzeLI3zFjOFJV36WZH3FxvG6sRsPdmdnHLFNSuEtTo+Fu+OPHOeBs3Djuqja3XnNeenq0Wp7YX7MmB/B88gl38R4+bL2NRETLlvFvVapwtK6ezz83HVKwRnP1au7WDA7mv+Pi+Lw9Pc0vZJGXnlbLXa0BATyeeP8+j4VOmpT72KQakfO5aZqL5t2yhbvGJ0zgyNrcnqP8NDMzuey0a2fU0Efy6hd3sOa8tVqOnPfz467cxo2JXnqJy3xUVMHP+8EDHid//nm+LwMH8jG5aRYHxMkKBUIfBFSmjGmFW1AsHSezhnPnuOLp2JGnRRTUwerZs4cdVu3aXJlZGviSnMzjy2+9xWOGGg0HYmV3nlotR3R6eHAlVK8eOxpzlW5uerkFG/n58fiio2Pu98oSzdhYvp76SjO/e2apnb//zuPP7u583rlNK7NUb+1a/q1OHXa4Pj7m9dSInLdEM/tLpN7WcuVy/2CBpXYmJJj/ws7jL63W2vjtt0Qff8xjp7GxBbdRHyx1+jSP0bZqRfTaa/nPQijqyPdkhQIRHMyT5g8cAOrXf3I9NSac163LCxvox7yeNI/27Xn1H/03ScuWtew4OzteGalCBV7UoGJFHncDgA8/5G4yOzsgLIzHp65e5YUSGjY0jlVaqjdmDG8D3PWXmMgLDyQn80IfDRtab6Nes04dYPx47k4E8h9/ttTOoCBegOTePe6W9PIy/lYQvZAQvm779nFacDB36z9OZiav2vXqq7yt03Eevr5sC2D8EH3p0sZ1dPX7mcMSzezXrVkzXuzk669zvzeWaOp0gIeH+eMfv0+W2qjVcrf1O++Y17VWU989XL8+j9Gmp3M+Sn+D2eYobC8vFF0sjYIUcl6rNWu4BfPBB8aWWGam5RGWeenp569mZrL2zp2Wrc+bl6a+1a3VWjclxFI7LZ0Tacl1zMiw/CtIakTOW6qpX0fckufIWk2l9JKSjH8rdd7Zp5g9DUhLVigwuQXkCDnRXyut1rgMIRFHrmo0wMiRHOh15QoH77i45N1StFTv8mWOkNa3PpWy8ccflddU+rz1NualZ2nkvJMTB3mVKJF/C95STUdHtteS56ggdiqtp9R5W2pjceEpOU1BsA3s7bni0em4q1Oj4XVcIyJ4cfcjR6x7eclL78IFXv/VEmdorY1qaCp13gXR00fOZ59aA3Dk/PTp3NVurVOwRNNcFPF/aWdhnffT4mABmcIjCP85Gg3/I+KW2PPP87zV48d5bFIpPf3HFmzBRjU0ldbTT8UpUYI/mDF7Ni+6f/Qo0Lix9XpFRbMo2FiUeYreJwTBdtAHlnz4IX/kPSoq98CXwtArKppK6ulbXA4O/LlFNzfgr7+Apk0Lbl9R0CwKNhZlpCUrCIVIgwbc8mrUyDb1ioqmknr6z88dOMCLmyhBUdAsCjYWRTREuX3pUxAEtck+dmWLekVFU2m9lBTlA/uKgmZRsLGoIU5WEARBEFRCuosFQRAEQSXEyQqCIAiCSoiTFQRBEASVECcrCIIgCCohTlYQBEEQVEKcrCAIgiCohDhZQbCAdu3aYeTIkYVtxlPNlClT0KSgazoKQiEhTlYQLGDjxo2YNm2aYnoajQabN29WTK+w2LdvHzQaDR48eFDYpgiCTSJrFwuCBZQvX/4/zzMjIwOOxf6L1oJQvJGWrCBYwOPdxdWrV8eMGTMwYMAAlC5dGt7e3vj2228Nv2dkZCA8PBxVqlSBs7MzfHx8MHPmTMOxAPDyyy9Do9EYtvXdod9//z18fX3h7Oxs2H/+/Pkm9jRp0gRTpkwxbGs0GixZsgTdunWDi4sLnnnmGURGRuLChQto164dXF1d0bp1a1y8eNFEZ8uWLWjatCmcnZ1Ro0YNTJ06FVlZWSa633//PV5++WW4uLigdu3aiIiIAABcvnwZ7du3BwCUK1cOGo0Gb731Vo5rl5SUhJIlS2LHjh0m6Zs2bULp0qWRmpoKABg7dizq1KkDFxcX1KhRA5MmTUJmZqbF9wQAevbsaWJDeno6PvjgA1StWhWurq4ICAjAvn37ctUUBKURJysIBWTOnDlo3rw5Tpw4gSFDhuC9995DbGwsAODLL79EREQE1q1bh9jYWKxcudLgTI8cOQIAWL58ORISEgzbAHDhwgVs2LABGzduRFRUlFX2TJs2DWFhYYiKikK9evXQp08fDBo0COPHj8fRo0dBRAgPDzfs/+effyIsLAwjRozAmTNnsGTJEqxYsQKffvqpie7UqVMREhKC6OhovPjiiwgNDcW9e/dQrVo1bNiwAQAQGxuLhIQELFiwIIddbm5u6NatG1atWmWSvnLlSvTs2RMu//9x2tKlS2PFihU4c+YMFixYgO+++w7z5s2z6ho8Tnh4OCIjI7FmzRpER0fjtddeQ5cuXRAXF/dEuoJgMSQIQr4EBgbSiBEjDNs+Pj705ptvGrZ1Oh1VrlyZFi1aREREw4YNow4dOpBOpzOrB4A2bdpkkjZ58mRycHCg27dvm6T7+PjQvHnzTNIaN25MkydPNtGbOHGiYTsyMpIA0NKlSw1pq1evJmdnZ8N2UFAQzZgxw0T3xx9/pCpVquSqm5ycTABox44dRES0d+9eAkD37983e556Nm3aRKVKlaKUlBQiIkpMTCRnZ2eDjjm++OILatasmWF78uTJ1LhxY8P24/eEiKhHjx7Ur18/IiK6cuUK2dvb0/Xr1032CQoKovHjx+dpryAohYzJCkIBaZTtu2oajQYeHh64ffs2AOCtt95Cp06dULduXXTp0gXdunVD586d89X08fFBpUqVntged3d3AEDDbB9XdXd3R1paGpKSkuDm5oaTJ0/i77//Nmm5arVapKWlITU11dDCzK7r6uoKNzc3w3layosvvggHBwdERETg9ddfx4YNG+Dm5oaOHTsa9lm7di2+/PJLXLx4EcnJycjKyoKbm5t1FyEbp06dglarRZ06dUzS09PTUaFChQLrCoI1iJMVhALi4OBgsq3RaKDT6QAATZs2RXx8PHbs2IHff/8dISEh6NixI37++ec8NV3NfBPMzs4O9NjHssyNVWa3R/P/330zl6a3MTk5GVOnTkWvXr1yaOnHg/M7T0txdHTEq6++ilWrVuH111/HqlWr0Lt3b5QowVVQZGQkQkNDMXXqVAQHB6NMmTJYs2YN5syZk6tmftclOTkZ9vb2OHbsGOzt7U32K1WqlFX2C0JBEScrCCrh5uaG3r17o3fv3nj11VfRpUsX3Lt3D+XLl4eDgwO0Wq1FOpUqVUJCQoJhOykpCfHx8U9sX9OmTREbG4tatWoVWEMf/WzJuYSGhqJTp044ffo09uzZg+nTpxt+O3DgAHx8fPDRRx8Z0q5cuZKn3uPXRavVIiYmxhCM5efnB61Wi9u3b+P555+36rwEQSnEyQqCCsydOxdVqlSBn58f7OzssH79enh4eKBs2bIAOGJ49+7daNOmDZycnFCuXLlctTp06IAVK1bgpZdeQtmyZfHxxx/naJkVhI8//hjdunWDt7c3Xn31VdjZ2eHkyZOIiYkxcYB54ePjA41Gg23btuHFF19EyZIlc20ltm3bFh4eHggNDYWvry8CAgIMv9WuXRtXr17FmjVr4O/vj+3bt2PTpk155t2hQweMHj0a27dvR82aNTF37lyT+bp16tRBaGgowsLCMGfOHPj5+eHOnTvYvXs3GjVqhK5du1p0joLwJEh0sSCoQOnSpTFr1iw0b94c/v7+uHz5Mn755RfY2fEjN2fOHOzatQvVqlWDn59fnlrjx49HYGAgunXrhq5du6Jnz56oWbPmE9sYHByMbdu24bfffoO/vz9atmyJefPmwcfHx2KNqlWrYurUqRg3bhzc3d1NopcfR6PR4I033sDJkycRGhpq8lv37t0xatQohIeHo0mTJjhw4AAmTZqUZ94DBgxAv379EBYWhsDAQNSoUcPQitWzfPlyhIWF4f3330fdunXRs2dPHDlyBN7e3hafoyA8CRp6fFBDEARBEARFkJasIAiCIKiEOFlBEARBUAlxsoIgCIKgEuJkBUEQBEElxMkKgiAIgkqIkxUEQRAElRAnKwiCIAgqIU5WEARBEFRCnKwgCIIgqIQ4WUEQBEFQCXGygiAIgqAS/wcJchAXoZiu3wAAAABJRU5ErkJggg==", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -2675,7 +2720,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "76d68dddd3244211a4e3bd0ac7a2aabc", + "model_id": "0c4d4edc94a14c13ba5b241807703172", "version_major": 2, "version_minor": 0 }, @@ -2688,7 +2733,7 @@ } ], "source": [ - "fig, axs = pyplot.subplots(4, 1, figsize=(11, 20), sharex=True, sharey=True)\n", + "fig, axs = pyplot.subplots(4, 1, figsize=(10, 20), sharex=True, sharey=True)\n", "\n", "# approximate advectors at cell centers\n", "X = simulation.solver.advector.get_component(0)\n", @@ -2700,13 +2745,15 @@ "scale_x, scale_y = np.amax(np.abs(X)), np.amax(np.abs(Y))\n", "imshow_common = {\n", " 'origin': 'lower',\n", - " 'extent': (0, grid[0], 0, grid[1]),\n", + " 'extent': (-.5, grid[0]-.5, 0, grid[1]),\n", "}\n", + "cell_centers = np.mgrid[\n", + " 0 : grid[0] - 1/2 : 1,\n", + " 1/2 : grid[1] : 1,\n", + "]\n", + "\n", "im = axs[0].imshow(np.full(grid, np.nan), **imshow_common)\n", - "axs[0].quiver(*np.mgrid[\n", - " 1/2 : grid[0] : 1,\n", - " 1/2 : grid[1] : 1,\n", - " ], Y.T.flatten()/0.8/scale_y, X.T.flatten()/scale_x, \n", + "axs[0].quiver(*cell_centers, Y.T.flatten()/0.8/scale_y, X.T.flatten()/scale_x, \n", " pivot='mid', \n", " color='gray', \n", " width=.003,\n", @@ -2715,25 +2762,20 @@ ")\n", "axs[0].set(\n", " title=\"advector field (constant in time)\",\n", - " xlabel='y/Δy',\n", - " ylabel='x/Δx',\n", ")\n", - "axs[0].grid()\n", - "\n", - "for i, xy in enumerate(('x', 'y')):\n", - " getattr(axs[0], f\"set_{xy}ticks\")(np.arange(0, grid[i] + 1))\n", "\n", - "vmax = 290\n", + "vmax = 280\n", "assert .9 * vmax < np.amax(output[\"MPDATA\"][-1]) < 1.1 * vmax\n", "\n", - "n_colors = 30\n", + "n_colors = 15\n", "quantized_copper = colormaps['binary'].resampled(n_colors)\n", "newcolors = quantized_copper(np.linspace(0, 1, n_colors))\n", "pink = np.array([248/256, 48/256, 48/256, 1])\n", "newcolors[:1, :] = pink\n", "cmap = colors.ListedColormap(newcolors)\n", + "levels=np.linspace(-1/(n_colors-1), vmax, n_colors)\n", "\n", - "for i, title in enumerate((\"advectee terminal condition (t=T)\", \"advectee at t=T/2\", \"advectee at t=0\")):\n", + "for i, title in enumerate((\"advectee at $t=T$\", \"advectee at $t=T/2$\", \"advectee at $t=0$\")):\n", " im = axs[i + 1].imshow(\n", " output[\"MPDATA\"][i],\n", " cmap=cmap,\n", @@ -2743,23 +2785,38 @@ " )\n", " axs[i + 1].clabel(\n", " axs[i + 1].contour(\n", - " *np.meshgrid(np.linspace(.5, grid[0]-.5, grid[0]), np.linspace(.5, grid[1]-.5, grid[1])),\n", - " output[\"MPDATA\"][i], np.linspace(-1/(n_colors-1), vmax, n_colors), colors='blue', linewidths=.75,\n", + " *np.meshgrid(\n", + " np.linspace(0, grid[0]-1, grid[0]),\n", + " np.linspace(.5, grid[1]-.5, grid[1])\n", + " ),\n", + " output[\"MPDATA\"][i], levels, colors='blue', linewidths=.75,\n", " ),\n", " inline=.5,\n", " fontsize=7\n", " )\n", " axs[i + 1].set_title(title)\n", - "pyplot.colorbar(im, ax=axs, shrink=0.3, pad=.04, label='instrument value ($)', orientation=\"horizontal\")\n", + "pyplot.colorbar(\n", + " im, ax=axs, shrink=.4, pad=.04, label='instrument value', orientation=\"horizontal\", ticks=abs(levels)\n", + ").ax.tick_params(rotation=45, color='blue', labelcolor='blue')\n", "\n", "for ax in axs:\n", - " ax.set(\n", - " xlabel='y/Δy',\n", - " ylabel='x/Δx',\n", - " )\n", " ax.set_xticks(range(grid[0]+1), [\"\" if i%2!=0 else f\"{i}\" for i in range(grid[0]+1)])\n", " ax.set_yticks(range(grid[1]+1), [\"\" if i%2!=0 else f\"{i}\" for i in range(grid[1]+1)])\n", - " \n", + " ax.set(\n", + " xlabel='$y/Δy$',\n", + " ylabel='$(x-x_0)/Δx$',\n", + " xlim=(-.5, grid[0]-.5),\n", + " )\n", + "axs[-1].add_patch(patches.Rectangle(\n", + " (-.4, ax2_functions[0](xlim[0])),\n", + " .8,\n", + " ax2_functions[0](xlim[1])-ax2_functions[0](xlim[0]),\n", + " linewidth=1,\n", + " edgecolor='black',\n", + " facecolor='none'\n", + "))\n", + "axs[-1].annotate(\"Fig. 2:\", (-.333, ax2_functions[0](xlim[0])-3), color='black', rotation=90)\n", + "\n", "show_plot('advectee_over_time.pdf', inline_format='png')" ] }, From 7b0ec333df5ec2688ee3048bb9a0a71461796e18 Mon Sep 17 00:00:00 2001 From: Sylwester Arabas Date: Wed, 30 Apr 2025 09:26:25 +0200 Subject: [PATCH 31/40] add a set of basic smoke tests for the new notebook (one test done, two drafts to be filled-in with code) --- .../magnuszewski_et_al_2025/__init__.py | 0 .../magnuszewski_et_al_2025/test_figs_1_2.py | 49 +++++++++++++++++++ 2 files changed, 49 insertions(+) create mode 100644 tests/smoke_tests/magnuszewski_et_al_2025/__init__.py create mode 100644 tests/smoke_tests/magnuszewski_et_al_2025/test_figs_1_2.py diff --git a/tests/smoke_tests/magnuszewski_et_al_2025/__init__.py b/tests/smoke_tests/magnuszewski_et_al_2025/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/smoke_tests/magnuszewski_et_al_2025/test_figs_1_2.py b/tests/smoke_tests/magnuszewski_et_al_2025/test_figs_1_2.py new file mode 100644 index 00000000..3328abbb --- /dev/null +++ b/tests/smoke_tests/magnuszewski_et_al_2025/test_figs_1_2.py @@ -0,0 +1,49 @@ +""" +tests for Asian (path-dependent) option pricing example using 2D advection-diffusion PDE +""" + +from pathlib import Path + +import pytest +from open_atmos_jupyter_utils import notebook_vars +from PyMPDATA_examples import Magnuszewski_et_al_2025 + +PLOT = False + + +@pytest.fixture(scope="session", name="variables") +def variables_fixture(): + return notebook_vars( + file=Path(Magnuszewski_et_al_2025.__file__).parent / "figs.ipynb", + plot=PLOT, + ) + + +class TestFigs: + """ basic assertions for Fig 1 and Fig 2 data and axes """ + @staticmethod + def test_fig_1_axis_ranges(variables): + """ + - to use cell-center values at t=0/y=0, the grid starts at y=-dy/2 in the running-sum dim. + - the underlying price dimension (which uses logarithm transform) starts at y=0 + """ + for ax in variables["axs"]: + assert ax.get_xlim()[0] < 0 + assert ax.get_ylim()[0] == 0 + + # TODO #543 + @staticmethod + @pytest.mark.parametrize("condition", ( + # UPWIND above MPDATA + # European analytic above UPWIND + # MC above geometric Asian analytic and below UPWIND + )) + def test_fig_2_order_of_lines(variables, condition): + """ checks if a given set of points is above/below another one """ + pass + + # TODO #543 + @staticmethod + def test_fig_2_all_datasets_monotonic(variables): + """ checks if all points within a dataset constitute a monotonically increasing set """ + pass \ No newline at end of file From 05ae57faf9d8630a76a6878d9f7a0eb1f7288316 Mon Sep 17 00:00:00 2001 From: pawel Date: Wed, 30 Apr 2025 09:38:43 +0200 Subject: [PATCH 32/40] moved plots around, twinx twiny --- .../Magnuszewski_et_al_2025/figs.ipynb | 2855 ++--------------- 1 file changed, 262 insertions(+), 2593 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb index d8815456..b19a29e2 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb @@ -27,34 +27,32 @@ }, { "cell_type": "code", - "execution_count": 1, "id": "46a0acde935c96dd", "metadata": { "ExecuteTime": { - "end_time": "2025-04-28T18:54:13.434680Z", - "start_time": "2025-04-28T18:54:13.387261Z" + "end_time": "2025-04-30T07:34:23.196843Z", + "start_time": "2025-04-30T07:34:23.168758Z" } }, - "outputs": [], "source": [ "import sys\n", "if 'google.colab' in sys.modules:\n", " !pip --quiet install open-atmos-jupyter-utils\n", " from open_atmos_jupyter_utils import pip_install_on_colab\n", " pip_install_on_colab('PyMPDATA-examples')" - ] + ], + "outputs": [], + "execution_count": 1 }, { "cell_type": "code", - "execution_count": 163, "id": "initial_id", "metadata": { "ExecuteTime": { - "end_time": "2025-04-28T18:54:16.000592Z", - "start_time": "2025-04-28T18:54:13.440710Z" + "end_time": "2025-04-30T07:34:25.477770Z", + "start_time": "2025-04-30T07:34:23.209940Z" } }, - "outputs": [], "source": [ "import os\n", "import numpy as np\n", @@ -65,19 +63,19 @@ "from PyMPDATA_examples.Magnuszewski_et_al_2025.monte_carlo import BSModel, FixedStrikeArithmeticAsianOption\n", "from PyMPDATA_examples.utils.financial_formulae import Black_Scholes_1973\n", "import PyMPDATA_examples.utils.financial_formulae.asian_option as asian_analytic" - ] + ], + "outputs": [], + "execution_count": 2 }, { "cell_type": "code", - "execution_count": 3, "id": "67f09798470f325a", "metadata": { "ExecuteTime": { - "end_time": "2025-04-28T18:54:16.126059Z", - "start_time": "2025-04-28T18:54:16.103883Z" + "end_time": "2025-04-30T07:34:25.605847Z", + "start_time": "2025-04-30T07:34:25.593867Z" } }, - "outputs": [], "source": [ "OPTIONS = {\n", " \"UPWIND\": Options(\n", @@ -105,29 +103,18 @@ " S_max=200,\n", " S_min=50,\n", ")" - ] - }, - { - "cell_type": "markdown", - "id": "42b0657d57d35752", - "metadata": {}, - "source": [ - "### Figure 1\n", - "\n", - "in this section we aim to: \n", - "- calculate the arithmetic Asian call option price using the MPDATA solver \n", - "- price the arithmetic Asian call option using the Monte Carlo method for the same spot prices\n", - "- calculate European call option price using the Black-Scholes formula for the same option parameters\n", - "- calculate geometric Asian call option price using the Kemna & Vorst formula for the same option parameters\n", - "- put all the above on the same plot" - ] + ], + "outputs": [], + "execution_count": 3 }, { + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-30T07:36:29.114376Z", + "start_time": "2025-04-30T07:34:25.620864Z" + } + }, "cell_type": "code", - "execution_count": 4, - "id": "59328c99-94a8-4b91-a7ad-25d66a3fa313", - "metadata": {}, - "outputs": [], "source": [ "output = {k:[] for k in OPTIONS}\n", "simulation = None\n", @@ -136,14 +123,19 @@ " for n_steps in (0, RESOLUTION['nt'] // 2, RESOLUTION['nt'] - RESOLUTION['nt'] // 2):\n", " simulation.step(n_steps)\n", " output[key].append(simulation.solver.advectee.get().copy())" - ] + ], + "id": "59328c99-94a8-4b91-a7ad-25d66a3fa313", + "outputs": [], + "execution_count": 4 }, { + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-30T07:37:34.393444Z", + "start_time": "2025-04-30T07:36:29.132378Z" + } + }, "cell_type": "code", - "execution_count": 5, - "id": "e24a2ee9-80d4-4467-8dfb-239ab657f888", - "metadata": {}, - "outputs": [], "source": [ "# calculate the arithmetic Asian option price by Monte Carlo for the same spot prices\n", "arithmetic_by_mc = np.zeros_like(simulation.S)\n", @@ -151,19 +143,231 @@ " model = BSModel(spot, SETTINGS.r, SETTINGS.sgma, SETTINGS.T, 1000 if 'CI' not in os.environ else 100)\n", " arithmetic_option = FixedStrikeArithmeticAsianOption(SETTINGS.T, SETTINGS.K, 'call', model, 100000 if 'CI' not in os.environ else 10000)\n", " arithmetic_by_mc[idx], _ = arithmetic_option.price_by_mc()" - ] + ], + "id": "e24a2ee9-80d4-4467-8dfb-239ab657f888", + "outputs": [], + "execution_count": 5 }, { + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-30T07:37:34.441111Z", + "start_time": "2025-04-30T07:37:34.429435Z" + } + }, "cell_type": "code", - "execution_count": 223, - "id": "36c8cddbab1b738c", + "source": [ + "ax2_functions=(\n", + " lambda x: np.interp(x, simulation.S, np.arange(len(simulation.S))+.5),\n", + " lambda x: np.interp(x, np.arange(len(simulation.S))+.5, simulation.S)\n", + ")" + ], + "id": "613c10ad3e377c62", + "outputs": [], + "execution_count": 6 + }, + { "metadata": { "ExecuteTime": { - "end_time": "2025-04-28T18:54:16.188558Z", - "start_time": "2025-04-28T18:54:16.157308Z" + "end_time": "2025-04-30T07:37:34.488240Z", + "start_time": "2025-04-30T07:37:34.475243Z" } }, + "cell_type": "code", + "source": [ + "xlim=(95, 155)\n", + "ylim=(5, 65)" + ], + "id": "4431a3c362778a4", "outputs": [], + "execution_count": 7 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "### Figure 1 - advectee field dynamics\n", + "\n", + "in this section we aim to:\n", + "- calculate the arithmetic Asian call option price using the MPDATA solver\n", + "- extract the advector field from the solver\n", + "- extract the advectee field from the solver at T=T, t=T/2, t=0 timesteps\n", + "- put all the above on the 4 plots" + ], + "id": "2c77a0e43ca77caf" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-30T07:38:09.715924Z", + "start_time": "2025-04-30T07:38:09.696919Z" + } + }, + "cell_type": "code", + "source": [ + "ax2_y_functions = (\n", + " lambda x: np.interp(x, np.arange(len(simulation.S))+.5, simulation.S),\n", + " lambda x: np.interp(x, simulation.S, np.arange(len(simulation.S))+.5)\n", + ")\n", + "\n", + "ax2_x_functions = (\n", + " lambda x: np.interp(x, np.arange(len(simulation.A))+.5, simulation.A),\n", + " lambda x: np.interp(x, simulation.A, np.arange(len(simulation.A))+.5)\n", + ")" + ], + "id": "6f12c72f12f6ef6a", + "outputs": [], + "execution_count": 8 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-30T07:38:19.319922Z", + "start_time": "2025-04-30T07:38:10.859174Z" + } + }, + "cell_type": "code", + "source": [ + "fig, axs = pyplot.subplots(4, 1, figsize=(10, 20), sharex=True, sharey=True)\n", + "\n", + "# approximate advectors at cell centers\n", + "X = simulation.solver.advector.get_component(0)\n", + "X = (X[1:,:] + X[:-1,:])/2\n", + "Y = simulation.solver.advector.get_component(1)\n", + "Y = (Y[:,1:] + Y[:,:-1])/2\n", + "\n", + "grid = (X.shape[1], Y.shape[0])\n", + "scale_x, scale_y = np.amax(np.abs(X)), np.amax(np.abs(Y))\n", + "imshow_common = {\n", + " 'origin': 'lower',\n", + " 'extent': (-.5, grid[0]-.5, 0, grid[1]),\n", + "}\n", + "cell_centers = np.mgrid[\n", + " 0 : grid[0] - 1/2 : 1,\n", + " 1/2 : grid[1] : 1,\n", + "]\n", + "\n", + "im = axs[0].imshow(np.full(grid, np.nan), **imshow_common)\n", + "axs[0].quiver(*cell_centers, Y.T.flatten()/0.8/scale_y, X.T.flatten()/scale_x, \n", + " pivot='mid', \n", + " color='gray', \n", + " width=.003,\n", + " scale=8, \n", + " scale_units='inches'\n", + ")\n", + "axs[0].set(\n", + " title=\"advector field (constant in time)\",\n", + ")\n", + "\n", + "vmax = 280\n", + "assert .9 * vmax < np.amax(output[\"MPDATA\"][-1]) < 1.1 * vmax\n", + "\n", + "n_colors = 15\n", + "quantized_copper = colormaps['binary'].resampled(n_colors)\n", + "newcolors = quantized_copper(np.linspace(0, 1, n_colors))\n", + "pink = np.array([248/256, 48/256, 48/256, 1])\n", + "newcolors[:1, :] = pink\n", + "cmap = colors.ListedColormap(newcolors)\n", + "levels=np.linspace(-1/(n_colors-1), vmax, n_colors)\n", + "\n", + "for i, title in enumerate((\"advectee at $t=T$\", \"advectee at $t=T/2$\", \"advectee at $t=0$\")):\n", + " im = axs[i + 1].imshow(\n", + " output[\"MPDATA\"][i],\n", + " cmap=cmap,\n", + " interpolation='nearest',\n", + " norm=colors.Normalize(vmin=-1/(n_colors-1) * vmax, vmax=vmax),\n", + " **imshow_common,\n", + " )\n", + " axs[i + 1].clabel(\n", + " axs[i + 1].contour(\n", + " *np.meshgrid(\n", + " np.linspace(0, grid[0]-1, grid[0]),\n", + " np.linspace(.5, grid[1]-.5, grid[1])\n", + " ),\n", + " output[\"MPDATA\"][i], levels, colors='blue', linewidths=.75,\n", + " ),\n", + " inline=.5,\n", + " fontsize=7\n", + " )\n", + " axs[i + 1].set_title(title)\n", + "pyplot.colorbar(\n", + " im, ax=axs, shrink=.4, pad=.04, label='instrument value', orientation=\"horizontal\", ticks=abs(levels)\n", + ").ax.tick_params(rotation=45, color='blue', labelcolor='blue')\n", + "\n", + "for ax in axs:\n", + " ax.set_xticks(range(grid[0]+1), [\"\" if i%2!=0 else f\"{i}\" for i in range(grid[0]+1)])\n", + " ax.set_yticks(range(grid[1]+1), [\"\" if i%2!=0 else f\"{i}\" for i in range(grid[1]+1)])\n", + " ax.set(\n", + " xlabel='$y/Δy$',\n", + " ylabel='$(x-x_0)/Δx$',\n", + " xlim=(-.5, grid[0]-.5),\n", + " )\n", + "axs[-1].add_patch(patches.Rectangle(\n", + " (-.4, ax2_functions[0](xlim[0])),\n", + " .8,\n", + " ax2_functions[0](xlim[1])-ax2_functions[0](xlim[0]),\n", + " linewidth=1,\n", + " edgecolor='black',\n", + " facecolor='none'\n", + "))\n", + "axs[-1].annotate(\"Fig. 2:\", (-.333, ax2_functions[0](xlim[0])-3), color='black', rotation=90)\n", + "\n", + "twin_y = [axs[i].secondary_yaxis('right', functions=ax2_y_functions) for i in range(4)]\n", + "for ax in twin_y:\n", + " ax.set(ylabel=\"underlying\")\n", + "\n", + "twin_x = axs[0].secondary_xaxis('top', functions=ax2_x_functions)\n", + "twin_x.set(xlabel=\"normalised running sum\")\n", + "\n", + "show_plot('advectee_over_time.pdf', inline_format='png')" + ], + "id": "cec62b5610d9b908", + "outputs": [ + { + "data": { + "text/plain": [ + "
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" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "1a9414cd6f654d378edec7c5a1dc376c", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value=\"./numeric_vs_analytic.pdf" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "0c4d4edc94a14c13ba5b241807703172", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(HTML(value=\"./advectee_over_time.pdf

…" - ] - }, - "metadata": {}, - "output_type": "display_data" - } ], - "source": [ - "fig, axs = pyplot.subplots(4, 1, figsize=(10, 20), sharex=True, sharey=True)\n", - "\n", - "# approximate advectors at cell centers\n", - "X = simulation.solver.advector.get_component(0)\n", - "X = (X[1:,:] + X[:-1,:])/2\n", - "Y = simulation.solver.advector.get_component(1)\n", - "Y = (Y[:,1:] + Y[:,:-1])/2\n", - "\n", - "grid = (X.shape[1], Y.shape[0])\n", - "scale_x, scale_y = np.amax(np.abs(X)), np.amax(np.abs(Y))\n", - "imshow_common = {\n", - " 'origin': 'lower',\n", - " 'extent': (-.5, grid[0]-.5, 0, grid[1]),\n", - "}\n", - "cell_centers = np.mgrid[\n", - " 0 : grid[0] - 1/2 : 1,\n", - " 1/2 : grid[1] : 1,\n", - "]\n", - "\n", - "im = axs[0].imshow(np.full(grid, np.nan), **imshow_common)\n", - "axs[0].quiver(*cell_centers, Y.T.flatten()/0.8/scale_y, X.T.flatten()/scale_x, \n", - " pivot='mid', \n", - " color='gray', \n", - " width=.003,\n", - " scale=8, \n", - " scale_units='inches'\n", - ")\n", - "axs[0].set(\n", - " title=\"advector field (constant in time)\",\n", - ")\n", - "\n", - "vmax = 280\n", - "assert .9 * vmax < np.amax(output[\"MPDATA\"][-1]) < 1.1 * vmax\n", - "\n", - "n_colors = 15\n", - "quantized_copper = colormaps['binary'].resampled(n_colors)\n", - "newcolors = quantized_copper(np.linspace(0, 1, n_colors))\n", - "pink = np.array([248/256, 48/256, 48/256, 1])\n", - "newcolors[:1, :] = pink\n", - "cmap = colors.ListedColormap(newcolors)\n", - "levels=np.linspace(-1/(n_colors-1), vmax, n_colors)\n", - "\n", - "for i, title in enumerate((\"advectee at $t=T$\", \"advectee at $t=T/2$\", \"advectee at $t=0$\")):\n", - " im = axs[i + 1].imshow(\n", - " output[\"MPDATA\"][i],\n", - " cmap=cmap,\n", - " interpolation='nearest',\n", - " norm=colors.Normalize(vmin=-1/(n_colors-1) * vmax, vmax=vmax),\n", - " **imshow_common,\n", - " )\n", - " axs[i + 1].clabel(\n", - " axs[i + 1].contour(\n", - " *np.meshgrid(\n", - " np.linspace(0, grid[0]-1, grid[0]),\n", - " np.linspace(.5, grid[1]-.5, grid[1])\n", - " ),\n", - " output[\"MPDATA\"][i], levels, colors='blue', linewidths=.75,\n", - " ),\n", - " inline=.5,\n", - " fontsize=7\n", - " )\n", - " axs[i + 1].set_title(title)\n", - "pyplot.colorbar(\n", - " im, ax=axs, shrink=.4, pad=.04, label='instrument value', orientation=\"horizontal\", ticks=abs(levels)\n", - ").ax.tick_params(rotation=45, color='blue', labelcolor='blue')\n", - "\n", - "for ax in axs:\n", - " ax.set_xticks(range(grid[0]+1), [\"\" if i%2!=0 else f\"{i}\" for i in range(grid[0]+1)])\n", - " ax.set_yticks(range(grid[1]+1), [\"\" if i%2!=0 else f\"{i}\" for i in range(grid[1]+1)])\n", - " ax.set(\n", - " xlabel='$y/Δy$',\n", - " ylabel='$(x-x_0)/Δx$',\n", - " xlim=(-.5, grid[0]-.5),\n", - " )\n", - "axs[-1].add_patch(patches.Rectangle(\n", - " (-.4, ax2_functions[0](xlim[0])),\n", - " .8,\n", - " ax2_functions[0](xlim[1])-ax2_functions[0](xlim[0]),\n", - " linewidth=1,\n", - " edgecolor='black',\n", - " facecolor='none'\n", - "))\n", - "axs[-1].annotate(\"Fig. 2:\", (-.333, ax2_functions[0](xlim[0])-3), color='black', rotation=90)\n", - "\n", - "show_plot('advectee_over_time.pdf', inline_format='png')" - ] + "id": "f0b7762f7354aa1d", + "outputs": [], + "execution_count": 12 }, { "cell_type": "code", - "execution_count": null, "id": "42b2965d6e6f73a5", - "metadata": { - "ExecuteTime": { - "end_time": "2025-04-28T18:56:50.625623Z", - "start_time": "2025-04-28T18:56:50.609161Z" - } - }, + "metadata": {}, + "source": " ", "outputs": [], - "source": [] + "execution_count": 12 }, { "cell_type": "code", - "execution_count": null, "id": "d16ed233-16b5-449c-a898-716d2895085a", "metadata": {}, + "source": [], "outputs": [], - "source": [] + "execution_count": null } ], "metadata": { From f6ae337189c142065836c56786dfa0a28160cf8b Mon Sep 17 00:00:00 2001 From: pawel Date: Wed, 30 Apr 2025 09:40:44 +0200 Subject: [PATCH 33/40] precommit --- .../magnuszewski_et_al_2025/test_figs_1_2.py | 22 +++++++++++-------- 1 file changed, 13 insertions(+), 9 deletions(-) diff --git a/tests/smoke_tests/magnuszewski_et_al_2025/test_figs_1_2.py b/tests/smoke_tests/magnuszewski_et_al_2025/test_figs_1_2.py index 3328abbb..98f5d346 100644 --- a/tests/smoke_tests/magnuszewski_et_al_2025/test_figs_1_2.py +++ b/tests/smoke_tests/magnuszewski_et_al_2025/test_figs_1_2.py @@ -20,7 +20,8 @@ def variables_fixture(): class TestFigs: - """ basic assertions for Fig 1 and Fig 2 data and axes """ + """basic assertions for Fig 1 and Fig 2 data and axes""" + @staticmethod def test_fig_1_axis_ranges(variables): """ @@ -33,17 +34,20 @@ def test_fig_1_axis_ranges(variables): # TODO #543 @staticmethod - @pytest.mark.parametrize("condition", ( - # UPWIND above MPDATA - # European analytic above UPWIND - # MC above geometric Asian analytic and below UPWIND - )) + @pytest.mark.parametrize( + "condition", + ( + # UPWIND above MPDATA + # European analytic above UPWIND + # MC above geometric Asian analytic and below UPWIND + ), + ) def test_fig_2_order_of_lines(variables, condition): - """ checks if a given set of points is above/below another one """ + """checks if a given set of points is above/below another one""" pass # TODO #543 @staticmethod def test_fig_2_all_datasets_monotonic(variables): - """ checks if all points within a dataset constitute a monotonically increasing set """ - pass \ No newline at end of file + """checks if all points within a dataset constitute a monotonically increasing set""" + pass From eaa62857a6ccb0c3be8cdf7a54ec8f454ec3492b Mon Sep 17 00:00:00 2001 From: Pawel Magnuszewski Date: Wed, 30 Apr 2025 22:09:34 +0200 Subject: [PATCH 34/40] fix twiny axis ranges --- .../Magnuszewski_et_al_2025/figs.ipynb | 119 ++++++++++++------ 1 file changed, 81 insertions(+), 38 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb index b19a29e2..6ec52a19 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb @@ -30,8 +30,8 @@ "id": "46a0acde935c96dd", "metadata": { "ExecuteTime": { - "end_time": "2025-04-30T07:34:23.196843Z", - "start_time": "2025-04-30T07:34:23.168758Z" + "end_time": "2025-04-30T19:40:06.112214Z", + "start_time": "2025-04-30T19:40:06.105033Z" } }, "source": [ @@ -49,8 +49,8 @@ "id": "initial_id", "metadata": { "ExecuteTime": { - "end_time": "2025-04-30T07:34:25.477770Z", - "start_time": "2025-04-30T07:34:23.209940Z" + "end_time": "2025-04-30T19:40:08.242338Z", + "start_time": "2025-04-30T19:40:06.114187Z" } }, "source": [ @@ -72,8 +72,8 @@ "id": "67f09798470f325a", "metadata": { "ExecuteTime": { - "end_time": "2025-04-30T07:34:25.605847Z", - "start_time": "2025-04-30T07:34:25.593867Z" + "end_time": "2025-04-30T19:40:08.245836Z", + "start_time": "2025-04-30T19:40:08.243024Z" } }, "source": [ @@ -110,8 +110,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2025-04-30T07:36:29.114376Z", - "start_time": "2025-04-30T07:34:25.620864Z" + "end_time": "2025-04-30T19:41:00.495431Z", + "start_time": "2025-04-30T19:40:08.247416Z" } }, "cell_type": "code", @@ -131,8 +131,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2025-04-30T07:37:34.393444Z", - "start_time": "2025-04-30T07:36:29.132378Z" + "end_time": "2025-04-30T19:41:44.635110Z", + "start_time": "2025-04-30T19:41:00.496783Z" } }, "cell_type": "code", @@ -151,8 +151,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2025-04-30T07:37:34.441111Z", - "start_time": "2025-04-30T07:37:34.429435Z" + "end_time": "2025-04-30T19:41:44.643199Z", + "start_time": "2025-04-30T19:41:44.638833Z" } }, "cell_type": "code", @@ -167,12 +167,7 @@ "execution_count": 6 }, { - "metadata": { - "ExecuteTime": { - "end_time": "2025-04-30T07:37:34.488240Z", - "start_time": "2025-04-30T07:37:34.475243Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "xlim=(95, 155)\n", @@ -199,15 +194,15 @@ { "metadata": { "ExecuteTime": { - "end_time": "2025-04-30T07:38:09.715924Z", - "start_time": "2025-04-30T07:38:09.696919Z" + "end_time": "2025-04-30T19:59:30.324524Z", + "start_time": "2025-04-30T19:59:30.316614Z" } }, "cell_type": "code", "source": [ "ax2_y_functions = (\n", - " lambda x: np.interp(x, np.arange(len(simulation.S))+.5, simulation.S),\n", - " lambda x: np.interp(x, simulation.S, np.arange(len(simulation.S))+.5)\n", + " lambda x: np.exp(x*simulation.dx + np.log(simulation.settings.S_min)),\n", + " lambda x: (np.log(x+10e-5) - np.log(simulation.settings.S_min))/ simulation.dx\n", ")\n", "\n", "ax2_x_functions = (\n", @@ -217,13 +212,13 @@ ], "id": "6f12c72f12f6ef6a", "outputs": [], - "execution_count": 8 + "execution_count": 50 }, { "metadata": { "ExecuteTime": { - "end_time": "2025-04-30T07:38:19.319922Z", - "start_time": "2025-04-30T07:38:10.859174Z" + "end_time": "2025-04-30T20:05:26.987495Z", + "start_time": "2025-04-30T20:05:25.134812Z" } }, "cell_type": "code", @@ -315,6 +310,9 @@ "twin_y = [axs[i].secondary_yaxis('right', functions=ax2_y_functions) for i in range(4)]\n", "for ax in twin_y:\n", " ax.set(ylabel=\"underlying\")\n", + " # set ticks as every second value from simulation.S\n", + " ax.set_yticks(np.linspace(simulation.settings.S_min, simulation.settings.S_max, 11), )\n", + " # ax.set_yticks(range(grid[1]+1), [\"\" if i%2!=0 else f\"{i}\" for i in range(grid[1]+1)])\n", "\n", "twin_x = axs[0].secondary_xaxis('top', functions=ax2_x_functions)\n", "twin_x.set(xlabel=\"normalised running sum\")\n", @@ -328,7 +326,7 @@ "text/plain": [ "
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" 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" }, "metadata": {}, "output_type": "display_data" @@ -336,19 +334,19 @@ { "data": { "text/plain": [ - "HBox(children=(HTML(value=\".\\\\advectee_over_time.pdf./advectee_over_time.pdf
…" ], "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, - "model_id": "1913ce7a769b4f2ab38c5c0556b917b9" + "model_id": "ec42049764914327aa3f0f3d5a5df636" } }, "metadata": {}, "output_type": "display_data" } ], - "execution_count": 9 + "execution_count": 61 }, { "metadata": {}, @@ -366,7 +364,12 @@ "id": "42b0657d57d35752" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-30T19:41:46.709345Z", + "start_time": "2025-04-30T19:41:46.694252Z" + } + }, "cell_type": "code", "source": [ "def plot_solution(\n", @@ -464,10 +467,15 @@ ], "id": "36c8cddbab1b738c", "outputs": [], - "execution_count": 11 + "execution_count": 10 }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2025-04-30T19:41:47.314815Z", + "start_time": "2025-04-30T19:41:46.711114Z" + } + }, "cell_type": "code", "source": [ "_, ax = pyplot.subplots(1, 1, figsize=(9.5, 4))\n", @@ -491,24 +499,59 @@ "show_plot('numeric_vs_analytic.pdf')" ], "id": "f0b7762f7354aa1d", - "outputs": [], - "execution_count": 12 + "outputs": [ + { + "data": { + "text/plain": [ + "
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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "HBox(children=(HTML(value=\"./numeric_vs_analytic.pdf Date: Thu, 1 May 2025 02:44:48 +0200 Subject: [PATCH 35/40] - switch from np.interp to scipy.interpolate.make_interp_spline to properly handle extrapolation - remove obsolete narrative text in code comments - fix imshow extents axes origin at (-dx/2, -dy/2) - contour isoline levels fixed to show zero isoline for terminal condition - fix Fig2 x2ticks (and move then dx/2 from the grid lines) - code cleanups - add (a), (b), (c), (d) labels for plots, remove all but top and bottom tick labels, but keep ticks everywhere --- .../Magnuszewski_et_al_2025/figs.ipynb | 2772 +++++++++++++++-- .../magnuszewski_et_al_2025/test_figs_1_2.py | 10 +- 2 files changed, 2574 insertions(+), 208 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb index 6ec52a19..49480211 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb @@ -20,13 +20,12 @@ "## arithmetic Asian call valuation\n", "\n", "we aim to price the arithmetic Asian call option using the MPDATA solver, by solving the following PDE:\n", - "$$ \\frac{\\partial f}{\\partial t} + rS \\frac{\\partial f}{\\partial S} + \\frac{\\sigma^2}{2} S^2 \\frac{\\partial^2 f}{\\partial S^2} + \\frac{S}{T}\\frac{\\partial f}{\\partial A} - rf = 0$$\n", - "\n", - "### Figures: 1, 2" + "$$ \\frac{\\partial f}{\\partial t} + rS \\frac{\\partial f}{\\partial S} + \\frac{\\sigma^2}{2} S^2 \\frac{\\partial^2 f}{\\partial S^2} + \\frac{S}{T}\\frac{\\partial f}{\\partial A} - rf = 0$$" ] }, { "cell_type": "code", + "execution_count": 46, "id": "46a0acde935c96dd", "metadata": { "ExecuteTime": { @@ -34,18 +33,18 @@ "start_time": "2025-04-30T19:40:06.105033Z" } }, + "outputs": [], "source": [ "import sys\n", "if 'google.colab' in sys.modules:\n", " !pip --quiet install open-atmos-jupyter-utils\n", " from open_atmos_jupyter_utils import pip_install_on_colab\n", " pip_install_on_colab('PyMPDATA-examples')" - ], - "outputs": [], - "execution_count": 1 + ] }, { "cell_type": "code", + "execution_count": 106, "id": "initial_id", "metadata": { "ExecuteTime": { @@ -53,9 +52,11 @@ "start_time": "2025-04-30T19:40:06.114187Z" } }, + "outputs": [], "source": [ "import os\n", "import numpy as np\n", + "from scipy.interpolate import make_interp_spline\n", "from matplotlib import pyplot, colors, colormaps, patches\n", "from open_atmos_jupyter_utils import show_plot\n", "from PyMPDATA import Options\n", @@ -63,12 +64,11 @@ "from PyMPDATA_examples.Magnuszewski_et_al_2025.monte_carlo import BSModel, FixedStrikeArithmeticAsianOption\n", "from PyMPDATA_examples.utils.financial_formulae import Black_Scholes_1973\n", "import PyMPDATA_examples.utils.financial_formulae.asian_option as asian_analytic" - ], - "outputs": [], - "execution_count": 2 + ] }, { "cell_type": "code", + "execution_count": 48, "id": "67f09798470f325a", "metadata": { "ExecuteTime": { @@ -76,6 +76,7 @@ "start_time": "2025-04-30T19:40:08.243024Z" } }, + "outputs": [], "source": [ "OPTIONS = {\n", " \"UPWIND\": Options(\n", @@ -103,18 +104,19 @@ " S_max=200,\n", " S_min=50,\n", ")" - ], - "outputs": [], - "execution_count": 3 + ] }, { + "cell_type": "code", + "execution_count": 4, + "id": "59328c99-94a8-4b91-a7ad-25d66a3fa313", "metadata": { "ExecuteTime": { "end_time": "2025-04-30T19:41:00.495431Z", "start_time": "2025-04-30T19:40:08.247416Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "output = {k:[] for k in OPTIONS}\n", "simulation = None\n", @@ -123,107 +125,106 @@ " for n_steps in (0, RESOLUTION['nt'] // 2, RESOLUTION['nt'] - RESOLUTION['nt'] // 2):\n", " simulation.step(n_steps)\n", " output[key].append(simulation.solver.advectee.get().copy())" - ], - "id": "59328c99-94a8-4b91-a7ad-25d66a3fa313", - "outputs": [], - "execution_count": 4 + ] }, { - "metadata": { - "ExecuteTime": { - "end_time": "2025-04-30T19:41:44.635110Z", - "start_time": "2025-04-30T19:41:00.496783Z" - } - }, "cell_type": "code", - "source": [ - "# calculate the arithmetic Asian option price by Monte Carlo for the same spot prices\n", - "arithmetic_by_mc = np.zeros_like(simulation.S)\n", - "for idx, spot in enumerate(simulation.S):\n", - " model = BSModel(spot, SETTINGS.r, SETTINGS.sgma, SETTINGS.T, 1000 if 'CI' not in os.environ else 100)\n", - " arithmetic_option = FixedStrikeArithmeticAsianOption(SETTINGS.T, SETTINGS.K, 'call', model, 100000 if 'CI' not in os.environ else 10000)\n", - " arithmetic_by_mc[idx], _ = arithmetic_option.price_by_mc()" - ], - "id": "e24a2ee9-80d4-4467-8dfb-239ab657f888", - "outputs": [], - "execution_count": 5 - }, - { + "execution_count": 49, + "id": "613c10ad3e377c62", "metadata": { "ExecuteTime": { "end_time": "2025-04-30T19:41:44.643199Z", "start_time": "2025-04-30T19:41:44.638833Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "ax2_functions=(\n", " lambda x: np.interp(x, simulation.S, np.arange(len(simulation.S))+.5),\n", " lambda x: np.interp(x, np.arange(len(simulation.S))+.5, simulation.S)\n", ")" - ], - "id": "613c10ad3e377c62", - "outputs": [], - "execution_count": 6 + ] }, { - "metadata": {}, "cell_type": "code", + "execution_count": 50, + "id": "4431a3c362778a4", + "metadata": {}, + "outputs": [], "source": [ "xlim=(95, 155)\n", "ylim=(5, 65)" - ], - "id": "4431a3c362778a4", - "outputs": [], - "execution_count": 7 + ] }, { - "metadata": {}, "cell_type": "markdown", + "id": "2c77a0e43ca77caf", + "metadata": {}, "source": [ - "### Figure 1 - advectee field dynamics\n", - "\n", - "in this section we aim to:\n", - "- calculate the arithmetic Asian call option price using the MPDATA solver\n", - "- extract the advector field from the solver\n", - "- extract the advectee field from the solver at T=T, t=T/2, t=0 timesteps\n", - "- put all the above on the 4 plots" - ], - "id": "2c77a0e43ca77caf" + "### Figure 1 - advectee field dynamics" + ] }, { + "cell_type": "code", + "execution_count": 108, + "id": "6f12c72f12f6ef6a", "metadata": { "ExecuteTime": { "end_time": "2025-04-30T19:59:30.324524Z", "start_time": "2025-04-30T19:59:30.316614Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "ax2_y_functions = (\n", - " lambda x: np.exp(x*simulation.dx + np.log(simulation.settings.S_min)),\n", - " lambda x: (np.log(x+10e-5) - np.log(simulation.settings.S_min))/ simulation.dx\n", + " make_interp_spline(np.arange(len(simulation.S)), simulation.S),\n", + " make_interp_spline(simulation.S, np.arange(len(simulation.S)))\n", ")\n", "\n", "ax2_x_functions = (\n", - " lambda x: np.interp(x, np.arange(len(simulation.A))+.5, simulation.A),\n", - " lambda x: np.interp(x, simulation.A, np.arange(len(simulation.A))+.5)\n", + " make_interp_spline(np.arange(len(simulation.A)), simulation.A),\n", + " make_interp_spline(simulation.A, np.arange(len(simulation.A)))\n", ")" - ], - "id": "6f12c72f12f6ef6a", - "outputs": [], - "execution_count": 50 + ] }, { + "cell_type": "code", + "execution_count": 142, + "id": "cec62b5610d9b908", "metadata": { "ExecuteTime": { "end_time": "2025-04-30T20:05:26.987495Z", "start_time": "2025-04-30T20:05:25.134812Z" } }, - "cell_type": "code", + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ce9b119f9cd44f199125dac89694085a", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(HTML(value=\"./advectee_over_time.pdf
…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "fig, axs = pyplot.subplots(4, 1, figsize=(10, 20), sharex=True, sharey=True)\n", + "_, fig1_axs = pyplot.subplots(4, 1, figsize=(10, 20), sharex=True, sharey=True)\n", "\n", "# approximate advectors at cell centers\n", "X = simulation.solver.advector.get_component(0)\n", @@ -235,69 +236,65 @@ "scale_x, scale_y = np.amax(np.abs(X)), np.amax(np.abs(Y))\n", "imshow_common = {\n", " 'origin': 'lower',\n", - " 'extent': (-.5, grid[0]-.5, 0, grid[1]),\n", + " 'extent': (-.5, grid[0]-.5, -.5, grid[1]-.5),\n", "}\n", "cell_centers = np.mgrid[\n", " 0 : grid[0] - 1/2 : 1,\n", - " 1/2 : grid[1] : 1,\n", + " 0 : grid[1] - 1/2 : 1,\n", "]\n", "\n", - "im = axs[0].imshow(np.full(grid, np.nan), **imshow_common)\n", - "axs[0].quiver(*cell_centers, Y.T.flatten()/0.8/scale_y, X.T.flatten()/scale_x, \n", + "im = fig1_axs[0].imshow(np.full(grid, np.nan), **imshow_common)\n", + "fig1_axs[0].quiver(*cell_centers, Y.T.flatten()/0.8/scale_y, X.T.flatten()/scale_x, \n", " pivot='mid', \n", " color='gray', \n", " width=.003,\n", " scale=8, \n", " scale_units='inches'\n", ")\n", - "axs[0].set(\n", - " title=\"advector field (constant in time)\",\n", - ")\n", + "fig1_axs[0].set_title(\"(a) advector field (constant in time)\", loc='left')\n", "\n", + "vmin = -20\n", "vmax = 280\n", "assert .9 * vmax < np.amax(output[\"MPDATA\"][-1]) < 1.1 * vmax\n", "\n", "n_colors = 15\n", - "quantized_copper = colormaps['binary'].resampled(n_colors)\n", - "newcolors = quantized_copper(np.linspace(0, 1, n_colors))\n", - "pink = np.array([248/256, 48/256, 48/256, 1])\n", - "newcolors[:1, :] = pink\n", - "cmap = colors.ListedColormap(newcolors)\n", - "levels=np.linspace(-1/(n_colors-1), vmax, n_colors)\n", + "newcolors = colormaps['binary'].resampled(n_colors)(np.linspace(0, 1, n_colors))\n", + "newcolors[:1, :] = np.array([248/256, 48/256, 48/256, 1])\n", + "levels=np.linspace(vmin, vmax, n_colors+1)\n", "\n", - "for i, title in enumerate((\"advectee at $t=T$\", \"advectee at $t=T/2$\", \"advectee at $t=0$\")):\n", - " im = axs[i + 1].imshow(\n", + "for i, title in enumerate((\"(b) advectee at $t=T$\", \"(c) advectee at $t=T/2$\", \"(d) advectee at $t=0$\")):\n", + " im = fig1_axs[i + 1].imshow(\n", " output[\"MPDATA\"][i],\n", - " cmap=cmap,\n", + " cmap=colors.ListedColormap(newcolors),\n", " interpolation='nearest',\n", " norm=colors.Normalize(vmin=-1/(n_colors-1) * vmax, vmax=vmax),\n", " **imshow_common,\n", " )\n", - " axs[i + 1].clabel(\n", - " axs[i + 1].contour(\n", + " fig1_axs[i + 1].clabel(\n", + " fig1_axs[i + 1].contour(\n", " *np.meshgrid(\n", " np.linspace(0, grid[0]-1, grid[0]),\n", - " np.linspace(.5, grid[1]-.5, grid[1])\n", + " np.linspace(0, grid[1]-1, grid[1])\n", " ),\n", " output[\"MPDATA\"][i], levels, colors='blue', linewidths=.75,\n", " ),\n", " inline=.5,\n", - " fontsize=7\n", + " fontsize=9\n", " )\n", - " axs[i + 1].set_title(title)\n", + " fig1_axs[i + 1].set_title(title, loc='left')\n", "pyplot.colorbar(\n", - " im, ax=axs, shrink=.4, pad=.04, label='instrument value', orientation=\"horizontal\", ticks=abs(levels)\n", + " im, ax=fig1_axs, shrink=.4, pad=.04, label='instrument value', orientation=\"horizontal\", ticks=abs(levels)\n", ").ax.tick_params(rotation=45, color='blue', labelcolor='blue')\n", "\n", - "for ax in axs:\n", - " ax.set_xticks(range(grid[0]+1), [\"\" if i%2!=0 else f\"{i}\" for i in range(grid[0]+1)])\n", - " ax.set_yticks(range(grid[1]+1), [\"\" if i%2!=0 else f\"{i}\" for i in range(grid[1]+1)])\n", + "for i, ax in enumerate(fig1_axs):\n", + " ax.set_xticks(range(grid[0]), [\"\" if i%2!=0 else f\"{i}\" for i in range(grid[0])])\n", + " ax.set_yticks(range(grid[1]), [\"\" if i%2!=0 else f\"{i}\" for i in range(grid[1])])\n", " ax.set(\n", - " xlabel='$y/Δy$',\n", + " xlabel='$y/Δy$' if i == 3 else '',\n", " ylabel='$(x-x_0)/Δx$',\n", " xlim=(-.5, grid[0]-.5),\n", " )\n", - "axs[-1].add_patch(patches.Rectangle(\n", + "fig1_axs[-1].add_patch(patches.Rectangle(\n", " (-.4, ax2_functions[0](xlim[0])),\n", " .8,\n", " ax2_functions[0](xlim[1])-ax2_functions[0](xlim[0]),\n", @@ -305,72 +302,56 @@ " edgecolor='black',\n", " facecolor='none'\n", "))\n", - "axs[-1].annotate(\"Fig. 2:\", (-.333, ax2_functions[0](xlim[0])-3), color='black', rotation=90)\n", + "fig1_axs[-1].annotate(\"Fig. 2:\", (-.333, ax2_functions[0](xlim[0])-3.5), color='black', rotation=90)\n", "\n", - "twin_y = [axs[i].secondary_yaxis('right', functions=ax2_y_functions) for i in range(4)]\n", - "for ax in twin_y:\n", - " ax.set(ylabel=\"underlying\")\n", - " # set ticks as every second value from simulation.S\n", - " ax.set_yticks(np.linspace(simulation.settings.S_min, simulation.settings.S_max, 11), )\n", - " # ax.set_yticks(range(grid[1]+1), [\"\" if i%2!=0 else f\"{i}\" for i in range(grid[1]+1)])\n", - "\n", - "twin_x = axs[0].secondary_xaxis('top', functions=ax2_x_functions)\n", - "twin_x.set(xlabel=\"normalised running sum\")\n", + "for twin_y in [fig1_axs[i].secondary_yaxis('right', functions=ax2_y_functions) for i in range(4)]:\n", + " twin_y.set(\n", + " ylabel=\"underlying\",\n", + " yticks=np.linspace(simulation.settings.S_min, simulation.settings.S_max, 11),\n", + " )\n", + "twin_x_ticks = np.linspace(0, simulation.settings.S_max, 9, dtype=int)\n", + "for i, twin_x in enumerate([fig1_axs[i].secondary_xaxis('top', functions=ax2_x_functions) for i in range(4)]):\n", + " if i == 0:\n", + " twin_x.set_xlabel(\"normalised running sum\")\n", + " twin_x.set_xticks(twin_x_ticks, [\"\"] * len(twin_x_ticks) if i != 0 else twin_x_ticks)\n", "\n", "show_plot('advectee_over_time.pdf', inline_format='png')" - ], - "id": "cec62b5610d9b908", - "outputs": [ - { - "data": { - "text/plain": [ - "
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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "HBox(children=(HTML(value=\"./advectee_over_time.pdf
…" - ], - "application/vnd.jupyter.widget-view+json": { - "version_major": 2, - "version_minor": 0, - "model_id": "ec42049764914327aa3f0f3d5a5df636" - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 61 + ] }, { - "metadata": {}, "cell_type": "markdown", + "id": "42b0657d57d35752", + "metadata": {}, "source": [ - "### Figure 2\n", - "\n", - "in this section we aim to: \n", - "- calculate the arithmetic Asian call option price using the MPDATA solver \n", - "- price the arithmetic Asian call option using the Monte Carlo method for the same spot prices\n", - "- calculate European call option price using the Black-Scholes formula for the same option parameters\n", - "- calculate geometric Asian call option price using the Kemna & Vorst formula for the same option parameters\n", - "- put all the above on the same plot" - ], - "id": "42b0657d57d35752" + "### Figure 2" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ba973984-48e4-4da2-8019-04254f97237e", + "metadata": {}, + "outputs": [], + "source": [ + "# calculate the arithmetic Asian option price by Monte Carlo for the same spot prices\n", + "arithmetic_by_mc = np.zeros_like(simulation.S)\n", + "for idx, spot in enumerate(simulation.S):\n", + " model = BSModel(spot, SETTINGS.r, SETTINGS.sgma, SETTINGS.T, 1000 if 'CI' not in os.environ else 100)\n", + " arithmetic_option = FixedStrikeArithmeticAsianOption(SETTINGS.T, SETTINGS.K, 'call', model, 100000 if 'CI' not in os.environ else 10000)\n", + " arithmetic_by_mc[idx], _ = arithmetic_option.price_by_mc()" + ] }, { + "cell_type": "code", + "execution_count": 143, + "id": "36c8cddbab1b738c", "metadata": { "ExecuteTime": { "end_time": "2025-04-30T19:41:46.709345Z", "start_time": "2025-04-30T19:41:46.694252Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "def plot_solution(\n", " settings,\n", @@ -397,7 +378,7 @@ " ax.set_ylim(*ylim)\n", " \n", " # ranges for plotting\n", - " s_indexes_within_range = range(len(S_linspace))\n", + " s_indexes_within_range = np.arange(len(S_linspace))\n", " clipped_s_space = S_linspace\n", "\n", " # plot European option price as a somewhat upper bound\n", @@ -452,96 +433,2484 @@ " c=\"green\"\n", " )\n", " ax2 = ax.secondary_xaxis('top', functions=ax2_functions)\n", - " ax2.set(\n", - " xlabel=\"$(x-x_0)/Δx$\",\n", - " xticks=s_indexes_within_range,\n", - " )\n", + " ax2.set_xlabel(\"$(x-x_0)/Δx$\")\n", + " ax2.set_xticks(s_indexes_within_range + .5, s_indexes_within_range)\n", " for tick in ax2.get_xticks():\n", - " ax.axvline(ax2_functions[1](tick), color='lightgray', linestyle=':', linewidth=4)\n", + " ax.axvline(ax2_functions[1](tick + .5), color='lightgray', linestyle=':', linewidth=4)\n", " ax.set(\n", " xlabel=\"price of the underlying at t=0 (spot price)\",\n", " ylabel=\"instrument value\",\n", " )\n", " ax.legend(loc=\"lower right\", handlelength=1.5)\n", " ax.grid()" - ], - "id": "36c8cddbab1b738c", - "outputs": [], - "execution_count": 10 + ] }, { + "cell_type": "code", + "execution_count": 144, + "id": "f0b7762f7354aa1d", "metadata": { "ExecuteTime": { "end_time": "2025-04-30T19:41:47.314815Z", "start_time": "2025-04-30T19:41:46.711114Z" } }, - "cell_type": "code", - "source": [ - "_, ax = pyplot.subplots(1, 1, figsize=(9.5, 4))\n", - "\n", - "plot_solution(\n", - " settings=SETTINGS,\n", - " ax=ax,\n", - " output={k:v[-1] for k,v in output.items()},\n", - " arithmetic_by_mc=arithmetic_by_mc,\n", - " S_linspace=simulation.S,\n", - " variant='call',\n", - " s_space_edges=np.exp(np.linspace(\n", - " np.log(simulation.S[0]) - simulation.dx/2,\n", - " np.log(simulation.S[-1]) + simulation.dx/2,\n", - " RESOLUTION['nx'] + 1\n", - " )),\n", - " xlim=xlim,\n", - " ylim=ylim,\n", - " ax2_functions=ax2_functions,\n", - ")\n", - "show_plot('numeric_vs_analytic.pdf')" - ], - "id": "f0b7762f7354aa1d", "outputs": [ { "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n" + ] }, "metadata": {}, "output_type": "display_data" }, { "data": { - "text/plain": [ - "HBox(children=(HTML(value=\"./numeric_vs_analytic.pdf./numeric_vs_analytic.pdf Date: Fri, 2 May 2025 00:57:59 +0200 Subject: [PATCH 36/40] seed setting for MC; ax2 funcs fixes; tests completed; common var for option type (call/put); remove MC error-bar code (not used); removing plot-func definition; cleanups --- .../Magnuszewski_et_al_2025/figs.ipynb | 669 ++++++++---------- .../Magnuszewski_et_al_2025/monte_carlo.py | 26 +- .../magnuszewski_et_al_2025/test_figs_1_2.py | 49 +- 3 files changed, 357 insertions(+), 387 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb index 49480211..5996c773 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/figs.ipynb @@ -25,7 +25,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 1, "id": "46a0acde935c96dd", "metadata": { "ExecuteTime": { @@ -44,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": 106, + "execution_count": 2, "id": "initial_id", "metadata": { "ExecuteTime": { @@ -68,7 +68,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 3, "id": "67f09798470f325a", "metadata": { "ExecuteTime": { @@ -103,7 +103,14 @@ " sgma=.4,\n", " S_max=200,\n", " S_min=50,\n", - ")" + ")\n", + "variant = \"call\"\n", + "\n", + "xlim = (95, 155)\n", + "ylim = (5, 65)\n", + "vmin = -20\n", + "vmax = 280\n", + "n_colors = 15" ] }, { @@ -121,41 +128,12 @@ "output = {k:[] for k in OPTIONS}\n", "simulation = None\n", "for key, opts in OPTIONS.items():\n", - " simulation = AsianArithmetic(SETTINGS, **RESOLUTION, options=opts, variant='call')\n", + " simulation = AsianArithmetic(SETTINGS, **RESOLUTION, options=opts, variant=variant)\n", " for n_steps in (0, RESOLUTION['nt'] // 2, RESOLUTION['nt'] - RESOLUTION['nt'] // 2):\n", " simulation.step(n_steps)\n", " output[key].append(simulation.solver.advectee.get().copy())" ] }, - { - "cell_type": "code", - "execution_count": 49, - "id": "613c10ad3e377c62", - "metadata": { - "ExecuteTime": { - "end_time": "2025-04-30T19:41:44.643199Z", - "start_time": "2025-04-30T19:41:44.638833Z" - } - }, - "outputs": [], - "source": [ - "ax2_functions=(\n", - " lambda x: np.interp(x, simulation.S, np.arange(len(simulation.S))+.5),\n", - " lambda x: np.interp(x, np.arange(len(simulation.S))+.5, simulation.S)\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "id": "4431a3c362778a4", - "metadata": {}, - "outputs": [], - "source": [ - "xlim=(95, 155)\n", - "ylim=(5, 65)" - ] - }, { "cell_type": "markdown", "id": "2c77a0e43ca77caf", @@ -166,7 +144,7 @@ }, { "cell_type": "code", - "execution_count": 108, + "execution_count": 5, "id": "6f12c72f12f6ef6a", "metadata": { "ExecuteTime": { @@ -176,20 +154,25 @@ }, "outputs": [], "source": [ - "ax2_y_functions = (\n", + "ax2_S2x_functions = (\n", + " make_interp_spline(simulation.S, np.arange(len(simulation.S))),\n", " make_interp_spline(np.arange(len(simulation.S)), simulation.S),\n", - " make_interp_spline(simulation.S, np.arange(len(simulation.S)))\n", ")\n", "\n", - "ax2_x_functions = (\n", + "ax2_x2S_functions = (\n", + " ax2_S2x_functions[1],\n", + " ax2_S2x_functions[0],\n", + ")\n", + "\n", + "ax2_y2A_functions = (\n", " make_interp_spline(np.arange(len(simulation.A)), simulation.A),\n", - " make_interp_spline(simulation.A, np.arange(len(simulation.A)))\n", + " make_interp_spline(simulation.A, np.arange(len(simulation.A))),\n", ")" ] }, { "cell_type": "code", - "execution_count": 142, + "execution_count": 6, "id": "cec62b5610d9b908", "metadata": { "ExecuteTime": { @@ -200,7 +183,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -211,7 +194,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ce9b119f9cd44f199125dac89694085a", + "model_id": "7390fa34012e4b00ace80d06c132df5d", "version_major": 2, "version_minor": 0 }, @@ -253,11 +236,8 @@ ")\n", "fig1_axs[0].set_title(\"(a) advector field (constant in time)\", loc='left')\n", "\n", - "vmin = -20\n", - "vmax = 280\n", "assert .9 * vmax < np.amax(output[\"MPDATA\"][-1]) < 1.1 * vmax\n", "\n", - "n_colors = 15\n", "newcolors = colormaps['binary'].resampled(n_colors)(np.linspace(0, 1, n_colors))\n", "newcolors[:1, :] = np.array([248/256, 48/256, 48/256, 1])\n", "levels=np.linspace(vmin, vmax, n_colors+1)\n", @@ -293,24 +273,25 @@ " xlabel='$y/Δy$' if i == 3 else '',\n", " ylabel='$(x-x_0)/Δx$',\n", " xlim=(-.5, grid[0]-.5),\n", + " ylim=(-.5, grid[1]-.5),\n", " )\n", "fig1_axs[-1].add_patch(patches.Rectangle(\n", - " (-.4, ax2_functions[0](xlim[0])),\n", + " (-.4, ax2_S2x_functions[0](xlim[0])),\n", " .8,\n", - " ax2_functions[0](xlim[1])-ax2_functions[0](xlim[0]),\n", + " ax2_S2x_functions[0](xlim[1]) - ax2_S2x_functions[0](xlim[0]),\n", " linewidth=1,\n", " edgecolor='black',\n", " facecolor='none'\n", "))\n", - "fig1_axs[-1].annotate(\"Fig. 2:\", (-.333, ax2_functions[0](xlim[0])-3.5), color='black', rotation=90)\n", + "fig1_axs[-1].annotate(\"Fig. 2:\", (-.333, ax2_S2x_functions[0](xlim[0])-3.5), color='black', rotation=90)\n", "\n", - "for twin_y in [fig1_axs[i].secondary_yaxis('right', functions=ax2_y_functions) for i in range(4)]:\n", + "for twin_y in [fig1_axs[i].secondary_yaxis('right', functions=ax2_x2S_functions) for i in range(4)]:\n", " twin_y.set(\n", " ylabel=\"underlying\",\n", " yticks=np.linspace(simulation.settings.S_min, simulation.settings.S_max, 11),\n", " )\n", "twin_x_ticks = np.linspace(0, simulation.settings.S_max, 9, dtype=int)\n", - "for i, twin_x in enumerate([fig1_axs[i].secondary_xaxis('top', functions=ax2_x_functions) for i in range(4)]):\n", + "for i, twin_x in enumerate([fig1_axs[i].secondary_xaxis('top', functions=ax2_y2A_functions) for i in range(4)]):\n", " if i == 0:\n", " twin_x.set_xlabel(\"normalised running sum\")\n", " twin_x.set_xticks(twin_x_ticks, [\"\"] * len(twin_x_ticks) if i != 0 else twin_x_ticks)\n", @@ -328,7 +309,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "ba973984-48e4-4da2-8019-04254f97237e", "metadata": {}, "outputs": [], @@ -336,14 +317,27 @@ "# calculate the arithmetic Asian option price by Monte Carlo for the same spot prices\n", "arithmetic_by_mc = np.zeros_like(simulation.S)\n", "for idx, spot in enumerate(simulation.S):\n", - " model = BSModel(spot, SETTINGS.r, SETTINGS.sgma, SETTINGS.T, 1000 if 'CI' not in os.environ else 100)\n", - " arithmetic_option = FixedStrikeArithmeticAsianOption(SETTINGS.T, SETTINGS.K, 'call', model, 100000 if 'CI' not in os.environ else 10000)\n", - " arithmetic_by_mc[idx], _ = arithmetic_option.price_by_mc()" + " model = BSModel(\n", + " S0=spot,\n", + " r=SETTINGS.r,\n", + " sigma=SETTINGS.sgma,\n", + " T=SETTINGS.T,\n", + " M=1000 if 'CI' not in os.environ else 100,\n", + " seed=None if 'CI' not in os.environ else 44,\n", + " )\n", + " arithmetic_option = FixedStrikeArithmeticAsianOption(\n", + " T=SETTINGS.T,\n", + " K=SETTINGS.K,\n", + " variant=variant,\n", + " model=model,\n", + " N=100000 if 'CI' not in os.environ else 1000\n", + " )\n", + " arithmetic_by_mc[idx] = arithmetic_option.price_by_mc()" ] }, { "cell_type": "code", - "execution_count": 143, + "execution_count": 13, "id": "36c8cddbab1b738c", "metadata": { "ExecuteTime": { @@ -351,110 +345,6 @@ "start_time": "2025-04-30T19:41:46.694252Z" } }, - "outputs": [], - "source": [ - "def plot_solution(\n", - " settings,\n", - " ax,\n", - " output,\n", - " S_linspace,\n", - " arithmetic_by_mc,\n", - " variant,\n", - " s_space_edges,\n", - " xlim,\n", - " ylim,\n", - " ax2_functions,\n", - "):\n", - " euro_price_func = {\n", - " \"call\": Black_Scholes_1973.c_euro,\n", - " \"put\": Black_Scholes_1973.p_euro,\n", - " }[variant]\n", - " geometric_price_func = {\n", - " \"call\": asian_analytic.geometric_asian_average_price_c,\n", - " \"put\": asian_analytic.geometric_asian_average_price_p,\n", - " }[variant]\n", - "\n", - " ax.set_xlim(*xlim)\n", - " ax.set_ylim(*ylim)\n", - " \n", - " # ranges for plotting\n", - " s_indexes_within_range = np.arange(len(S_linspace))\n", - " clipped_s_space = S_linspace\n", - "\n", - " # plot European option price as a somewhat upper bound\n", - " ax.plot(\n", - " clipped_s_space,\n", - " (\n", - " euro_price_func(\n", - " S=clipped_s_space, K=settings.K, T=settings.T, r=settings.r, b=settings.r, sgma=settings.sgma\n", - " )\n", - " ),\n", - " label=\"European analytic (Black-Scholes '73)\",\n", - " linestyle=\":\",\n", - " c=\"olive\"\n", - " )\n", - " colors = {\"UPWIND\": \"gray\", \"MPDATA\": \"black\"}\n", - " markers = {\"UPWIND\": \".\", \"MPDATA\": \"o\"}\n", - " for key, val in output.items():\n", - " ax.bar(\n", - " s_space_edges[:-1][s_indexes_within_range],\n", - " val[:, 0][s_indexes_within_range],\n", - " width=s_space_edges[1:][s_indexes_within_range] - s_space_edges[:-1][s_indexes_within_range],\n", - " alpha=0.2,\n", - " align=\"edge\",\n", - " color=colors[key]\n", - " )\n", - " ax.plot(\n", - " clipped_s_space,\n", - " val[:, 0][s_indexes_within_range],\n", - " label=f\"Asian arithmetic {key} solution\",\n", - " marker=markers[key],\n", - " c=colors[key]\n", - " )\n", - " ax.plot(\n", - " clipped_s_space,\n", - " arithmetic_by_mc[s_indexes_within_range],\n", - " label=\"Asian arithmetic by Monte-Carlo\",\n", - " marker=\"+\",\n", - " c=\"orange\",\n", - " linestyle=\"-.\",\n", - " )\n", - "\n", - " # plot Asian option price as a somewhat lower bound\n", - " ax.plot(\n", - " clipped_s_space,\n", - " (\n", - " geometric_price_func(\n", - " S=clipped_s_space, K=settings.K, T=settings.T, r=settings.r, dividend_yield=0, sgma=settings.sgma\n", - " )\n", - " ),\n", - " label=\"Asian geometric analytic (Kemna & Vorst '90)\",\n", - " linestyle=\"--\",\n", - " c=\"green\"\n", - " )\n", - " ax2 = ax.secondary_xaxis('top', functions=ax2_functions)\n", - " ax2.set_xlabel(\"$(x-x_0)/Δx$\")\n", - " ax2.set_xticks(s_indexes_within_range + .5, s_indexes_within_range)\n", - " for tick in ax2.get_xticks():\n", - " ax.axvline(ax2_functions[1](tick + .5), color='lightgray', linestyle=':', linewidth=4)\n", - " ax.set(\n", - " xlabel=\"price of the underlying at t=0 (spot price)\",\n", - " ylabel=\"instrument value\",\n", - " )\n", - " ax.legend(loc=\"lower right\", handlelength=1.5)\n", - " ax.grid()" - ] - }, - { - "cell_type": "code", - "execution_count": 144, - "id": "f0b7762f7354aa1d", - "metadata": { - "ExecuteTime": { - "end_time": "2025-04-30T19:41:47.314815Z", - "start_time": "2025-04-30T19:41:46.711114Z" - } - }, "outputs": [ { "data": { @@ -467,7 +357,7 @@ " \n", " \n", " \n", - " 2025-05-01T02:31:44.221796\n", + " 2025-05-02T00:55:02.660946\n", " image/svg+xml\n", " \n", " \n", @@ -511,17 +401,17 @@ " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -581,12 +471,12 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: #808080; opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"opacity: 0.2\"/>\n", " \n", " \n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1245,11 +1135,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1265,11 +1155,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1285,11 +1175,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1305,11 +1195,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1325,11 +1215,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1784,16 +1674,16 @@ " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1808,11 +1698,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1827,11 +1717,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1846,11 +1736,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1865,11 +1755,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1884,11 +1774,11 @@ " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1974,7 +1864,7 @@ "L 450.735807 81.985096 \n", "L 540.413712 47.77567 \n", "L 578.903125 32.697771 \n", - "\" clip-path=\"url(#p7a3013d214)\" style=\"fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #808000; stroke-width: 1.5\"/>\n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #808000; stroke-width: 1.5\"/>\n", " \n", " \n", " \n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: none; stroke: #808080; stroke-width: 1.5; stroke-linecap: square\"/>\n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -2026,9 +1916,9 @@ "L 450.735807 111.714475 \n", "L 540.413712 76.433359 \n", "L 578.903125 61.089603 \n", - "\" clip-path=\"url(#p7a3013d214)\" style=\"fill: none; stroke: #000000; stroke-width: 1.5; stroke-linecap: square\"/>\n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: none; stroke: #000000; stroke-width: 1.5; stroke-linecap: square\"/>\n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -2098,84 +1988,84 @@ "L 450.735807 119.239897 \n", "L 540.413712 84.750436 \n", "L 578.903125 69.711072 \n", - "\" clip-path=\"url(#p7a3013d214)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #008000; stroke-width: 1.5\"/>\n", + "\" clip-path=\"url(#p1d4bdb14fe)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #008000; stroke-width: 1.5\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2540,7 +2430,7 @@ "L 326.114062 213.300625 \n", "\" style=\"fill: none; stroke: #000000; stroke-width: 1.5; stroke-linecap: square\"/>\n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2615,7 +2505,7 @@ "L 326.114062 227.97875 \n", "\" style=\"fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #ffa500; stroke-width: 1.5\"/>\n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2858,7 +2748,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2874,7 +2764,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5b98a52a9dd643cd9e7daabd2205e862", + "model_id": "049a46d799a446709ef3c219603a8324", "version_major": 2, "version_minor": 0 }, @@ -2889,35 +2779,94 @@ "source": [ "_, fig2_ax = pyplot.subplots(1, 1, figsize=(9.5, 4))\n", "\n", - "plot_solution(\n", - " settings=SETTINGS,\n", - " ax=fig2_ax,\n", - " output={k:v[-1] for k,v in output.items()},\n", - " arithmetic_by_mc=arithmetic_by_mc,\n", - " S_linspace=simulation.S,\n", - " variant='call',\n", - " s_space_edges=np.exp(np.linspace(\n", - " np.log(simulation.S[0]) - simulation.dx/2,\n", - " np.log(simulation.S[-1]) + simulation.dx/2,\n", - " RESOLUTION['nx'] + 1\n", - " )),\n", - " xlim=xlim,\n", - " ylim=ylim,\n", - " ax2_functions=ax2_functions,\n", + "s_space_edges = np.exp(np.linspace(\n", + " np.log(simulation.S[0]) - simulation.dx/2,\n", + " np.log(simulation.S[-1]) + simulation.dx/2,\n", + " RESOLUTION['nx'] + 1\n", + "))\n", + "\n", + "euro_price = {\n", + " \"call\": Black_Scholes_1973.c_euro,\n", + " \"put\": Black_Scholes_1973.p_euro,\n", + "}[variant](\n", + " S=simulation.S, K=SETTINGS.K, T=SETTINGS.T, r=SETTINGS.r, b=SETTINGS.r, sgma=SETTINGS.sgma\n", + ")\n", + "\n", + "geometric_price = {\n", + " \"call\": asian_analytic.geometric_asian_average_price_c,\n", + " \"put\": asian_analytic.geometric_asian_average_price_p,\n", + "}[variant](\n", + " S=simulation.S, K=SETTINGS.K, T=SETTINGS.T, r=SETTINGS.r, dividend_yield=0, sgma=SETTINGS.sgma\n", ")\n", + "\n", + "fig2_ax.set_xlim(*xlim)\n", + "fig2_ax.set_ylim(*ylim)\n", + "\n", + "s_indices = np.arange(len(simulation.S))\n", + "\n", + "# plot European option price as a somewhat upper bound\n", + "fig2_ax.plot(\n", + " simulation.S,\n", + " euro_price,\n", + " label=\"European analytic (Black-Scholes '73)\",\n", + " linestyle=\":\",\n", + " c=\"olive\"\n", + ")\n", + "colors = {\"UPWIND\": \"gray\", \"MPDATA\": \"black\"}\n", + "markers = {\"UPWIND\": \".\", \"MPDATA\": \"o\"}\n", + "for key, val in {k:v[-1] for k,v in output.items()}.items():\n", + " fig2_ax.bar(\n", + " s_space_edges[:-1][s_indices],\n", + " val[:, 0][s_indices],\n", + " width=s_space_edges[1:][s_indices] - s_space_edges[:-1][s_indices],\n", + " alpha=0.2,\n", + " align=\"edge\",\n", + " color=colors[key]\n", + " )\n", + " fig2_ax.plot(\n", + " simulation.S,\n", + " val[:, 0][s_indices],\n", + " label=f\"Asian arithmetic {key} solution\",\n", + " marker=markers[key],\n", + " c=colors[key]\n", + " )\n", + "fig2_ax.plot(\n", + " simulation.S,\n", + " arithmetic_by_mc[s_indices],\n", + " label=\"Asian arithmetic by Monte-Carlo\",\n", + " marker=\"+\",\n", + " c=\"orange\",\n", + " linestyle=\"-.\",\n", + ")\n", + "\n", + "# plot Asian option price as a somewhat lower bound\n", + "fig2_ax.plot(\n", + " simulation.S,\n", + " geometric_price,\n", + " label=\"Asian geometric analytic (Kemna & Vorst '90)\",\n", + " linestyle=\"--\",\n", + " c=\"green\"\n", + ")\n", + "ax2 = fig2_ax.secondary_xaxis('top', functions=ax2_S2x_functions)\n", + "ax2.set_xlabel(\"$(x-x_0)/Δx$\")\n", + "ax2.set_xticks(s_indices)\n", + "for tick in ax2.get_xticks():\n", + " fig2_ax.axvline(ax2_S2x_functions[1](tick+.5), color='lightgray', linestyle=':', linewidth=4)\n", + "fig2_ax.set(\n", + " xlabel=\"price of the underlying at t=0 (spot price)\",\n", + " ylabel=\"instrument value\",\n", + ")\n", + "fig2_ax.legend(loc=\"lower right\", handlelength=1.5)\n", + "fig2_ax.grid()\n", + "\n", "show_plot('numeric_vs_analytic.pdf')" ] }, { "cell_type": "code", - "execution_count": 11, - "id": "d16ed233-16b5-449c-a898-716d2895085a", - "metadata": { - "ExecuteTime": { - "end_time": "2025-04-30T19:41:47.324089Z", - "start_time": "2025-04-30T19:41:47.321858Z" - } - }, + "execution_count": null, + "id": "ef8837f3-5ece-43c0-a83d-89739517e18d", + "metadata": {}, "outputs": [], "source": [] } diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py index f92f207c..a4b5d604 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py @@ -6,7 +6,7 @@ from functools import cached_property, lru_cache, partial from typing import Callable - +import random import numba import numpy as np @@ -16,7 +16,7 @@ class BSModel: - def __init__(self, S0, r, sigma, T, M): + def __init__(self, S0, r, sigma, T, M, seed): self.S0 = S0 self.r = r self.sigma = sigma @@ -27,6 +27,7 @@ def __init__(self, S0, r, sigma, T, M): self.t = np.linspace(0, T, M) self.bt = self.b * self.t self.sqrt_tm = np.sqrt(T / M) + self.seed = seed @cached_property def generate_path(self): @@ -35,12 +36,17 @@ def generate_path(self): bt = self.bt sigma = self.sigma sqrt_tm = self.sqrt_tm + seed = self.seed + + @jit + def numba_seed(): + np.random.seed(seed) + if seed is not None: + numba_seed() @jit def body(path): - path[:] = S0 * np.exp( - bt + sigma * np.cumsum(np.random.standard_normal(M)) * sqrt_tm - ) + path[:] = S0 * np.exp(bt + sigma * np.cumsum(np.random.standard_normal(M)) * sqrt_tm) return body @@ -51,7 +57,6 @@ def __init__(self, T, model, N): self.model = model self.N = N self.payoff: Callable[[np.ndarray], float] = lambda path: 0.0 - self.std = 0 @cached_property def price_by_mc(self): @@ -65,16 +70,11 @@ def price_by_mc(self): @jit def body(): sum_ct = 0.0 - sum_sq = 0.0 path = np.empty(M) for _ in range(N): model_generate_path(path) - partial_payoff = payoff(path) - sum_ct += partial_payoff - sum_sq += partial_payoff**2 - return np.exp(-model_r * T) * (sum_ct / N), np.exp(-model_r * T) * np.sqrt( - (sum_sq / N) - (sum_ct / N) ** 2 - ) + sum_ct += payoff(path) + return np.exp(-model_r * T) * (sum_ct / N) return body diff --git a/tests/smoke_tests/magnuszewski_et_al_2025/test_figs_1_2.py b/tests/smoke_tests/magnuszewski_et_al_2025/test_figs_1_2.py index cedd7f37..db93cf10 100644 --- a/tests/smoke_tests/magnuszewski_et_al_2025/test_figs_1_2.py +++ b/tests/smoke_tests/magnuszewski_et_al_2025/test_figs_1_2.py @@ -2,6 +2,7 @@ tests for Asian (path-dependent) option pricing example using 2D advection-diffusion PDE """ +import numpy as np from pathlib import Path import pytest @@ -18,34 +19,54 @@ def variables_fixture(): plot=PLOT, ) +def datasets(variables): + return { + 'mc': variables['arithmetic_by_mc'], + 'upwind': variables['output']['UPWIND'][-1][:,0], + 'mpdata': variables['output']['MPDATA'][-1][:,0], + 'kemna-vorst': variables['geometric_price'], + 'black-scholes': variables['euro_price'], + } + class TestFigs: """basic assertions for Fig 1 and Fig 2 data and axes""" @staticmethod - def test_fig_1_axis_ranges(variables): + @pytest.mark.parametrize("xy, lr, fmt", ( + ("x", 0, "-0.5"), + ("y", 0, "-0.5"), + ("x", 1, "{grid_minus_half[0]}"), + ("y", 1, "{grid_minus_half[1]}"), + )) + def test_fig_1_axis_ranges(variables, xy, lr, fmt): """ checks if both X and Y axes start at -dx/2, -dy/2, respectively """ - for ax in variables["fig1_axs"]: - assert ax.get_xlim()[0] == -.5 - assert ax.get_ylim()[0] == -.5 + for axs in variables["fig1_axs"]: + assert ( + str(getattr(axs, f"get_{xy}lim")()[lr]) + == + fmt.format(grid_minus_half=(variables["grid"][0]-.5, variables["grid"][1]-.5)) + ) - # TODO #543 @staticmethod @pytest.mark.parametrize( - "condition", + "lower, higher", ( - # UPWIND above MPDATA - # European analytic above UPWIND - # MC above geometric Asian analytic and below UPWIND + ("mpdata", "upwind"), + ("mc", "black-scholes"),# European analytic above UPWIND + ("kemna-vorst", "mc"), + ("mc", "upwind"), ), ) - def test_fig_2_order_of_lines(variables, condition): + def test_fig_2_order_of_lines(variables, lower, higher): """checks if a given set of points is above/below another one""" - pass + data = datasets(variables) + assert (data[lower] <= data[higher]).all() - # TODO #543 @staticmethod - def test_fig_2_all_datasets_monotonic(variables): + @pytest.mark.parametrize("key", ('mc', 'upwind', 'mpdata', 'kemna-vorst', 'black-scholes')) + def test_fig_2_all_datasets_monotonic(variables, key): """checks if all points within a dataset constitute a monotonically increasing set""" - pass + data = datasets(variables) + assert (np.diff(data[key]) >= 0).all() From 8fb43f1c98870b3cec1033652a098c31cb752030 Mon Sep 17 00:00:00 2001 From: Sylwester Arabas Date: Fri, 2 May 2025 01:02:37 +0200 Subject: [PATCH 37/40] pylint & precommit --- .../Magnuszewski_et_al_2025/monte_carlo.py | 12 +++-- .../magnuszewski_et_al_2025/test_figs_1_2.py | 50 ++++++++++--------- 2 files changed, 35 insertions(+), 27 deletions(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py index a4b5d604..9321bd42 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py @@ -4,9 +4,10 @@ [Numerical Methods in Finance with C++](https://doi.org/10.1017/CBO9781139017404) """ +import random from functools import cached_property, lru_cache, partial from typing import Callable -import random + import numba import numpy as np @@ -36,17 +37,20 @@ def generate_path(self): bt = self.bt sigma = self.sigma sqrt_tm = self.sqrt_tm - seed = self.seed + seed = self.seed @jit def numba_seed(): np.random.seed(seed) - if seed is not None: + + if seed is not None: numba_seed() @jit def body(path): - path[:] = S0 * np.exp(bt + sigma * np.cumsum(np.random.standard_normal(M)) * sqrt_tm) + path[:] = S0 * np.exp( + bt + sigma * np.cumsum(np.random.standard_normal(M)) * sqrt_tm + ) return body diff --git a/tests/smoke_tests/magnuszewski_et_al_2025/test_figs_1_2.py b/tests/smoke_tests/magnuszewski_et_al_2025/test_figs_1_2.py index db93cf10..80258750 100644 --- a/tests/smoke_tests/magnuszewski_et_al_2025/test_figs_1_2.py +++ b/tests/smoke_tests/magnuszewski_et_al_2025/test_figs_1_2.py @@ -2,9 +2,9 @@ tests for Asian (path-dependent) option pricing example using 2D advection-diffusion PDE """ -import numpy as np from pathlib import Path +import numpy as np import pytest from open_atmos_jupyter_utils import notebook_vars from PyMPDATA_examples import Magnuszewski_et_al_2025 @@ -13,19 +13,20 @@ @pytest.fixture(scope="session", name="variables") -def variables_fixture(): +def _variables_fixture(): return notebook_vars( file=Path(Magnuszewski_et_al_2025.__file__).parent / "figs.ipynb", plot=PLOT, ) -def datasets(variables): + +def _datasets(variables): return { - 'mc': variables['arithmetic_by_mc'], - 'upwind': variables['output']['UPWIND'][-1][:,0], - 'mpdata': variables['output']['MPDATA'][-1][:,0], - 'kemna-vorst': variables['geometric_price'], - 'black-scholes': variables['euro_price'], + "mc": variables["arithmetic_by_mc"], + "upwind": variables["output"]["UPWIND"][-1][:, 0], + "mpdata": variables["output"]["MPDATA"][-1][:, 0], + "kemna-vorst": variables["geometric_price"], + "black-scholes": variables["euro_price"], } @@ -33,20 +34,21 @@ class TestFigs: """basic assertions for Fig 1 and Fig 2 data and axes""" @staticmethod - @pytest.mark.parametrize("xy, lr, fmt", ( - ("x", 0, "-0.5"), - ("y", 0, "-0.5"), - ("x", 1, "{grid_minus_half[0]}"), - ("y", 1, "{grid_minus_half[1]}"), - )) + @pytest.mark.parametrize( + "xy, lr, fmt", + ( + ("x", 0, "-0.5"), + ("y", 0, "-0.5"), + ("x", 1, "{grid_minus_half[0]}"), + ("y", 1, "{grid_minus_half[1]}"), + ), + ) def test_fig_1_axis_ranges(variables, xy, lr, fmt): """ - checks if both X and Y axes start at -dx/2, -dy/2, respectively """ + checks if both X and Y axes start at -dx/2, -dy/2, respectively""" for axs in variables["fig1_axs"]: - assert ( - str(getattr(axs, f"get_{xy}lim")()[lr]) - == - fmt.format(grid_minus_half=(variables["grid"][0]-.5, variables["grid"][1]-.5)) + assert str(getattr(axs, f"get_{xy}lim")()[lr]) == fmt.format( + grid_minus_half=(variables["grid"][0] - 0.5, variables["grid"][1] - 0.5) ) @staticmethod @@ -54,19 +56,21 @@ def test_fig_1_axis_ranges(variables, xy, lr, fmt): "lower, higher", ( ("mpdata", "upwind"), - ("mc", "black-scholes"),# European analytic above UPWIND + ("mc", "black-scholes"), # European analytic above UPWIND ("kemna-vorst", "mc"), ("mc", "upwind"), ), ) def test_fig_2_order_of_lines(variables, lower, higher): """checks if a given set of points is above/below another one""" - data = datasets(variables) + data = _datasets(variables) assert (data[lower] <= data[higher]).all() @staticmethod - @pytest.mark.parametrize("key", ('mc', 'upwind', 'mpdata', 'kemna-vorst', 'black-scholes')) + @pytest.mark.parametrize( + "key", ("mc", "upwind", "mpdata", "kemna-vorst", "black-scholes") + ) def test_fig_2_all_datasets_monotonic(variables, key): """checks if all points within a dataset constitute a monotonically increasing set""" - data = datasets(variables) + data = _datasets(variables) assert (np.diff(data[key]) >= 0).all() From eb2a228e6adefa4098f64401c9b835af30798b73 Mon Sep 17 00:00:00 2001 From: Sylwester Arabas Date: Fri, 2 May 2025 01:10:46 +0200 Subject: [PATCH 38/40] addressing pylint hint --- tests/smoke_tests/magnuszewski_et_al_2025/test_figs_1_2.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/tests/smoke_tests/magnuszewski_et_al_2025/test_figs_1_2.py b/tests/smoke_tests/magnuszewski_et_al_2025/test_figs_1_2.py index 80258750..944d989e 100644 --- a/tests/smoke_tests/magnuszewski_et_al_2025/test_figs_1_2.py +++ b/tests/smoke_tests/magnuszewski_et_al_2025/test_figs_1_2.py @@ -35,7 +35,7 @@ class TestFigs: @staticmethod @pytest.mark.parametrize( - "xy, lr, fmt", + "x_or_y, l_or_r, fmt", ( ("x", 0, "-0.5"), ("y", 0, "-0.5"), @@ -43,11 +43,11 @@ class TestFigs: ("y", 1, "{grid_minus_half[1]}"), ), ) - def test_fig_1_axis_ranges(variables, xy, lr, fmt): + def test_fig_1_axis_ranges(variables, x_or_y, l_or_r, fmt): """ checks if both X and Y axes start at -dx/2, -dy/2, respectively""" for axs in variables["fig1_axs"]: - assert str(getattr(axs, f"get_{xy}lim")()[lr]) == fmt.format( + assert str(getattr(axs, f"get_{x_or_y}lim")()[l_or_r]) == fmt.format( grid_minus_half=(variables["grid"][0] - 0.5, variables["grid"][1] - 0.5) ) From 25ca688de688ee045e142f1ee7b6ddd45e11f80b Mon Sep 17 00:00:00 2001 From: Sylwester Arabas Date: Fri, 2 May 2025 01:16:21 +0200 Subject: [PATCH 39/40] remove unused import --- .../PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py | 1 - 1 file changed, 1 deletion(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py index 9321bd42..8aa8ca1b 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py @@ -4,7 +4,6 @@ [Numerical Methods in Finance with C++](https://doi.org/10.1017/CBO9781139017404) """ -import random from functools import cached_property, lru_cache, partial from typing import Callable From 2ffd7d524c256a7307cb15b07cd3e8642b72eaca Mon Sep 17 00:00:00 2001 From: Sylwester Arabas Date: Fri, 2 May 2025 12:20:00 +0200 Subject: [PATCH 40/40] remove nogil opt (does not apply here), add nopython=True (to avoid warnings in some Numba versions - this caused CI to fail) --- .../PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py index 8aa8ca1b..76bc2f7f 100644 --- a/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py +++ b/examples/PyMPDATA_examples/Magnuszewski_et_al_2025/monte_carlo.py @@ -10,7 +10,7 @@ import numba import numpy as np -jit = partial(numba.jit, fastmath=True, error_model="numpy", cache=True, nogil=True) +jit = partial(numba.jit, fastmath=True, error_model="numpy", cache=True, nopython=True) # pylint: disable=too-few-public-methods