From a5a972eae3c4e8d086b5cdd8cf9b17239756b7ec Mon Sep 17 00:00:00 2001 From: alanlujan91 Date: Tue, 10 Sep 2024 10:07:06 -0400 Subject: [PATCH 1/9] reorganize HARK.distributions --- HARK/Calibration/Assets/AssetProcesses.py | 2 +- HARK/Calibration/Income/IncomeProcesses.py | 2 +- HARK/ConsumptionSaving/ConsAggShockModel.py | 2 +- HARK/ConsumptionSaving/ConsBequestModel.py | 2 +- .../ConsGenIncProcessModel.py | 2 +- HARK/ConsumptionSaving/ConsIndShockModel.py | 2 +- HARK/ConsumptionSaving/ConsLabeledModel.py | 2 +- HARK/ConsumptionSaving/ConsMarkovModel.py | 2 +- HARK/ConsumptionSaving/ConsMedModel.py | 2 +- .../ConsPortfolioFrameModel.py | 2 +- HARK/ConsumptionSaving/ConsPortfolioModel.py | 2 +- HARK/ConsumptionSaving/ConsPrefShockModel.py | 2 +- HARK/ConsumptionSaving/ConsRepAgentModel.py | 2 +- HARK/ConsumptionSaving/ConsRiskyAssetModel.py | 2 +- .../ConsRiskyContribModel.py | 2 +- .../ConsWealthPortfolioModel.py | 2 +- HARK/ConsumptionSaving/LegacyOOsolvers.py | 2 +- .../TractableBufferStockModel.py | 2 +- .../tests/test_ConsAggShockModel.py | 2 +- .../tests/test_ConsMarkovModel.py | 2 +- .../tests/test_SmallOpenEconomy.py | 2 +- .../tests/test_modelcomparisons.py | 2 +- HARK/core.py | 2 +- HARK/distribution.py | 2464 ----------------- HARK/distributions/__init__.py | 54 + HARK/distributions/base.py | 943 +++++++ HARK/distributions/continuous.py | 504 ++++ HARK/distributions/discrete.py | 54 + HARK/distributions/multivariate.py | 490 ++++ HARK/distributions/utils.py | 499 ++++ HARK/frame.py | 2 +- HARK/model.py | 2 +- HARK/models/consumer.py | 2 +- HARK/models/perfect_foresight.py | 2 +- HARK/models/perfect_foresight_normalized.py | 2 +- HARK/models/test_models.py | 2 +- HARK/parser.py | 2 +- HARK/simulation/monte_carlo.py | 2 +- HARK/simulation/test_monte_carlo.py | 2 +- HARK/tests/test_approxDstns.py | 2 +- HARK/tests/test_core.py | 2 +- HARK/tests/test_distribution.py | 4 +- HARK/tests/test_model.py | 2 +- .../ConsNewKeynesianModel/SSJ_example.ipynb | 91 +- .../example_ConsAggShockModel.ipynb | 2 +- .../example_ConsMarkovModel.ipynb | 2 +- .../example_TractableBufferStockModel.ipynb | 2 +- .../DiscreteDistributionLabeled.ipynb | 6 +- .../Distributions/EquiprobableLognormal.ipynb | 15 +- examples/Distributions/ExpectedValue.ipynb | 8 +- examples/FrameAgentType/FrameModels.ipynb | 2 +- ...eneric Monte Carlo Perfect Foresight.ipynb | 4 +- 52 files changed, 2667 insertions(+), 2547 deletions(-) delete mode 100644 HARK/distribution.py create mode 100644 HARK/distributions/__init__.py create mode 100644 HARK/distributions/base.py create mode 100644 HARK/distributions/continuous.py create mode 100644 HARK/distributions/discrete.py create mode 100644 HARK/distributions/multivariate.py create mode 100644 HARK/distributions/utils.py diff --git a/HARK/Calibration/Assets/AssetProcesses.py b/HARK/Calibration/Assets/AssetProcesses.py index 833e5398f..1dd0ee4c8 100644 --- a/HARK/Calibration/Assets/AssetProcesses.py +++ b/HARK/Calibration/Assets/AssetProcesses.py @@ -5,7 +5,7 @@ import numpy as np from scipy.optimize import minimize_scalar -from HARK.distribution import ( +from HARK.distributions import ( combine_indep_dstns, DiscreteDistributionLabeled, IndexDistribution, diff --git a/HARK/Calibration/Income/IncomeProcesses.py b/HARK/Calibration/Income/IncomeProcesses.py index 1221207b4..656a934ba 100644 --- a/HARK/Calibration/Income/IncomeProcesses.py +++ b/HARK/Calibration/Income/IncomeProcesses.py @@ -4,7 +4,7 @@ import numpy as np from HARK.metric import MetricObject -from HARK.distribution import ( +from HARK.distributions import ( add_discrete_outcome_constant_mean, combine_indep_dstns, DiscreteDistribution, diff --git a/HARK/ConsumptionSaving/ConsAggShockModel.py b/HARK/ConsumptionSaving/ConsAggShockModel.py index 13d799050..f23e8c1f6 100644 --- a/HARK/ConsumptionSaving/ConsAggShockModel.py +++ b/HARK/ConsumptionSaving/ConsAggShockModel.py @@ -23,7 +23,7 @@ indshk_constructor_dict, ) from HARK.ConsumptionSaving.ConsMarkovModel import MarkovConsumerType -from HARK.distribution import ( +from HARK.distributions import ( MarkovProcess, MeanOneLogNormal, Uniform, diff --git a/HARK/ConsumptionSaving/ConsBequestModel.py b/HARK/ConsumptionSaving/ConsBequestModel.py index 6919535e0..36cb9eae5 100644 --- a/HARK/ConsumptionSaving/ConsBequestModel.py +++ b/HARK/ConsumptionSaving/ConsBequestModel.py @@ -36,7 +36,7 @@ make_portfolio_solution_terminal, ) from HARK.ConsumptionSaving.ConsRiskyAssetModel import make_simple_ShareGrid -from HARK.distribution import expected +from HARK.distributions import expected from HARK.interpolation import ( BilinearInterp, ConstantFunction, diff --git a/HARK/ConsumptionSaving/ConsGenIncProcessModel.py b/HARK/ConsumptionSaving/ConsGenIncProcessModel.py index 47c361036..7d9bd7d52 100644 --- a/HARK/ConsumptionSaving/ConsGenIncProcessModel.py +++ b/HARK/ConsumptionSaving/ConsGenIncProcessModel.py @@ -23,7 +23,7 @@ ConsumerSolution, IndShockConsumerType, ) -from HARK.distribution import Lognormal, expected +from HARK.distributions import Lognormal, expected from HARK.interpolation import ( BilinearInterp, ConstantFunction, diff --git a/HARK/ConsumptionSaving/ConsIndShockModel.py b/HARK/ConsumptionSaving/ConsIndShockModel.py index 61b7725cc..ab2e43bb9 100644 --- a/HARK/ConsumptionSaving/ConsIndShockModel.py +++ b/HARK/ConsumptionSaving/ConsIndShockModel.py @@ -30,7 +30,7 @@ from HARK.Calibration.SCF.WealthIncomeDist.SCFDistTools import ( income_wealth_dists_from_scf, ) -from HARK.distribution import ( +from HARK.distributions import ( Lognormal, MeanOneLogNormal, Uniform, diff --git a/HARK/ConsumptionSaving/ConsLabeledModel.py b/HARK/ConsumptionSaving/ConsLabeledModel.py index 50d015f9a..1d17c3efd 100644 --- a/HARK/ConsumptionSaving/ConsLabeledModel.py +++ b/HARK/ConsumptionSaving/ConsLabeledModel.py @@ -22,7 +22,7 @@ ) from HARK.ConsumptionSaving.LegacyOOsolvers import ConsIndShockSetup from HARK.core import make_one_period_oo_solver -from HARK.distribution import DiscreteDistributionLabeled +from HARK.distributions import DiscreteDistributionLabeled from HARK.metric import MetricObject from HARK.rewards import UtilityFuncCRRA diff --git a/HARK/ConsumptionSaving/ConsMarkovModel.py b/HARK/ConsumptionSaving/ConsMarkovModel.py index 7ea8b2246..21bc43823 100644 --- a/HARK/ConsumptionSaving/ConsMarkovModel.py +++ b/HARK/ConsumptionSaving/ConsMarkovModel.py @@ -19,7 +19,7 @@ PerfForesightConsumerType, make_basic_CRRA_solution_terminal, ) -from HARK.distribution import MarkovProcess, Uniform, expected +from HARK.distributions import MarkovProcess, Uniform, expected from HARK.interpolation import ( CubicInterp, LinearInterp, diff --git a/HARK/ConsumptionSaving/ConsMedModel.py b/HARK/ConsumptionSaving/ConsMedModel.py index aeed4efe0..72058a8c8 100644 --- a/HARK/ConsumptionSaving/ConsMedModel.py +++ b/HARK/ConsumptionSaving/ConsMedModel.py @@ -21,7 +21,7 @@ VariableLowerBoundFunc2D, ) from HARK.ConsumptionSaving.ConsIndShockModel import ConsumerSolution -from HARK.distribution import Lognormal, add_discrete_outcome_constant_mean, expected +from HARK.distributions import Lognormal, add_discrete_outcome_constant_mean, expected from HARK.interpolation import ( BilinearInterp, BilinearInterpOnInterp1D, diff --git a/HARK/ConsumptionSaving/ConsPortfolioFrameModel.py b/HARK/ConsumptionSaving/ConsPortfolioFrameModel.py index 7fa32d95e..cc4bbcc21 100644 --- a/HARK/ConsumptionSaving/ConsPortfolioFrameModel.py +++ b/HARK/ConsumptionSaving/ConsPortfolioFrameModel.py @@ -13,7 +13,7 @@ PortfolioConsumerType, init_portfolio, ) -from HARK.distribution import ( +from HARK.distributions import ( Bernoulli, IndexDistribution, Lognormal, diff --git a/HARK/ConsumptionSaving/ConsPortfolioModel.py b/HARK/ConsumptionSaving/ConsPortfolioModel.py index 588972343..31f2c91be 100644 --- a/HARK/ConsumptionSaving/ConsPortfolioModel.py +++ b/HARK/ConsumptionSaving/ConsPortfolioModel.py @@ -26,7 +26,7 @@ RiskyAssetConsumerType, make_simple_ShareGrid, ) -from HARK.distribution import expected +from HARK.distributions import expected from HARK.interpolation import ( BilinearInterp, ConstantFunction, diff --git a/HARK/ConsumptionSaving/ConsPrefShockModel.py b/HARK/ConsumptionSaving/ConsPrefShockModel.py index f99290301..773ee9289 100644 --- a/HARK/ConsumptionSaving/ConsPrefShockModel.py +++ b/HARK/ConsumptionSaving/ConsPrefShockModel.py @@ -22,7 +22,7 @@ get_PermShkDstn_from_IncShkDstn, get_TranShkDstn_from_IncShkDstn, ) -from HARK.distribution import MeanOneLogNormal, expected +from HARK.distributions import MeanOneLogNormal, expected from HARK.interpolation import ( CubicInterp, LinearInterp, diff --git a/HARK/ConsumptionSaving/ConsRepAgentModel.py b/HARK/ConsumptionSaving/ConsRepAgentModel.py index 217faa4f6..e67b18ce6 100644 --- a/HARK/ConsumptionSaving/ConsRepAgentModel.py +++ b/HARK/ConsumptionSaving/ConsRepAgentModel.py @@ -17,7 +17,7 @@ make_basic_CRRA_solution_terminal, ) from HARK.ConsumptionSaving.ConsMarkovModel import MarkovConsumerType -from HARK.distribution import MarkovProcess +from HARK.distributions import MarkovProcess from HARK.interpolation import LinearInterp, MargValueFuncCRRA from HARK.utilities import make_assets_grid diff --git a/HARK/ConsumptionSaving/ConsRiskyAssetModel.py b/HARK/ConsumptionSaving/ConsRiskyAssetModel.py index cff779063..872da2c95 100644 --- a/HARK/ConsumptionSaving/ConsRiskyAssetModel.py +++ b/HARK/ConsumptionSaving/ConsRiskyAssetModel.py @@ -22,7 +22,7 @@ get_PermShkDstn_from_IncShkDstn, get_TranShkDstn_from_IncShkDstn, ) -from HARK.distribution import ( +from HARK.distributions import ( Bernoulli, expected, IndexDistribution, diff --git a/HARK/ConsumptionSaving/ConsRiskyContribModel.py b/HARK/ConsumptionSaving/ConsRiskyContribModel.py index aceda63ab..47da67dc7 100644 --- a/HARK/ConsumptionSaving/ConsRiskyContribModel.py +++ b/HARK/ConsumptionSaving/ConsRiskyContribModel.py @@ -45,7 +45,7 @@ init_risky_asset, risky_constructor_dict, ) -from HARK.distribution import calc_expectation +from HARK.distributions import calc_expectation from HARK.interpolation import BilinearInterp # 2D interpolator from HARK.interpolation import ( ConstantFunction, # Interpolator-like class that returns constant value diff --git a/HARK/ConsumptionSaving/ConsWealthPortfolioModel.py b/HARK/ConsumptionSaving/ConsWealthPortfolioModel.py index a42686c5d..736dff910 100644 --- a/HARK/ConsumptionSaving/ConsWealthPortfolioModel.py +++ b/HARK/ConsumptionSaving/ConsWealthPortfolioModel.py @@ -6,7 +6,7 @@ init_portfolio, PortfolioSolution, ) -from HARK.distribution import expected +from HARK.distributions import expected from HARK.interpolation import ( BilinearInterp, CubicInterp, diff --git a/HARK/ConsumptionSaving/LegacyOOsolvers.py b/HARK/ConsumptionSaving/LegacyOOsolvers.py index aa209993f..d8eb62a30 100644 --- a/HARK/ConsumptionSaving/LegacyOOsolvers.py +++ b/HARK/ConsumptionSaving/LegacyOOsolvers.py @@ -10,7 +10,7 @@ from dataclasses import dataclass import numpy as np from HARK import NullFunc -from HARK.distribution import expected, calc_expectation, DiscreteDistribution +from HARK.distributions import expected, calc_expectation, DiscreteDistribution from HARK.interpolation import ( BilinearInterp, BilinearInterpOnInterp1D, diff --git a/HARK/ConsumptionSaving/TractableBufferStockModel.py b/HARK/ConsumptionSaving/TractableBufferStockModel.py index 08f5c6bb8..8eb63a2b3 100644 --- a/HARK/ConsumptionSaving/TractableBufferStockModel.py +++ b/HARK/ConsumptionSaving/TractableBufferStockModel.py @@ -27,7 +27,7 @@ from scipy.optimize import brentq, newton from HARK import AgentType, NullFunc -from HARK.distribution import Bernoulli, Lognormal +from HARK.distributions import Bernoulli, Lognormal from HARK.interpolation import CubicInterp # Import the HARK library. diff --git a/HARK/ConsumptionSaving/tests/test_ConsAggShockModel.py b/HARK/ConsumptionSaving/tests/test_ConsAggShockModel.py index 31d44393e..8db13fc54 100644 --- a/HARK/ConsumptionSaving/tests/test_ConsAggShockModel.py +++ b/HARK/ConsumptionSaving/tests/test_ConsAggShockModel.py @@ -11,7 +11,7 @@ KrusellSmithEconomy, KrusellSmithType, ) -from HARK.distribution import Uniform +from HARK.distributions import Uniform from HARK.tests import HARK_PRECISION diff --git a/HARK/ConsumptionSaving/tests/test_ConsMarkovModel.py b/HARK/ConsumptionSaving/tests/test_ConsMarkovModel.py index c5f531e07..7d5492505 100644 --- a/HARK/ConsumptionSaving/tests/test_ConsMarkovModel.py +++ b/HARK/ConsumptionSaving/tests/test_ConsMarkovModel.py @@ -7,7 +7,7 @@ MarkovConsumerType, init_indshk_markov, ) -from HARK.distribution import ( +from HARK.distributions import ( DiscreteDistribution, DiscreteDistributionLabeled, MeanOneLogNormal, diff --git a/HARK/ConsumptionSaving/tests/test_SmallOpenEconomy.py b/HARK/ConsumptionSaving/tests/test_SmallOpenEconomy.py index 9aeea94a0..4fe5f73ca 100644 --- a/HARK/ConsumptionSaving/tests/test_SmallOpenEconomy.py +++ b/HARK/ConsumptionSaving/tests/test_SmallOpenEconomy.py @@ -8,7 +8,7 @@ SmallOpenEconomy, init_cobb_douglas, ) -from HARK.distribution import Uniform +from HARK.distributions import Uniform class testSmallOpenEconomy(unittest.TestCase): diff --git a/HARK/ConsumptionSaving/tests/test_modelcomparisons.py b/HARK/ConsumptionSaving/tests/test_modelcomparisons.py index 0b4669e16..97cfa7089 100644 --- a/HARK/ConsumptionSaving/tests/test_modelcomparisons.py +++ b/HARK/ConsumptionSaving/tests/test_modelcomparisons.py @@ -19,7 +19,7 @@ ) from HARK.ConsumptionSaving.ConsMarkovModel import MarkovConsumerType from HARK.ConsumptionSaving.TractableBufferStockModel import TractableConsumerType -from HARK.distribution import DiscreteDistributionLabeled +from HARK.distributions import DiscreteDistributionLabeled class Compare_PerfectForesight_and_Infinite(unittest.TestCase): diff --git a/HARK/core.py b/HARK/core.py index 7ffb2d4cc..e9cc7a9f4 100644 --- a/HARK/core.py +++ b/HARK/core.py @@ -20,7 +20,7 @@ import numpy as np import pandas as pd -from HARK.distribution import ( +from HARK.distributions import ( Distribution, IndexDistribution, TimeVaryingDiscreteDistribution, diff --git a/HARK/distribution.py b/HARK/distribution.py deleted file mode 100644 index 6acfee969..000000000 --- a/HARK/distribution.py +++ /dev/null @@ -1,2464 +0,0 @@ -import math -from itertools import product -from typing import Any, Callable, Dict, List, Optional, Union -from warnings import warn - -from copy import deepcopy -import numpy as np -import xarray as xr -from numpy import random, linalg -from scipy import stats -from scipy.stats import rv_continuous, rv_discrete -from scipy.stats._distn_infrastructure import rv_continuous_frozen, rv_discrete_frozen -from scipy.stats._multivariate import multivariate_normal_frozen, multi_rv_frozen -from scipy import special - - -class Distribution: - """ - Base class for all probability distributions - with seed and random number generator. - - For discussion on random number generation and random seeds, see - https://docs.scipy.org/doc/scipy/tutorial/stats.html#random-number-generation - - Parameters - ---------- - seed : Optional[int] - Seed for random number generator. - """ - - def __init__(self, seed: Optional[int] = 0) -> None: - """ - Generic distribution class with seed management. - - Parameters - ---------- - seed : Optional[int], optional - Seed for random number generator, by default None - generates random seed based on entropy. - - Raises - ------ - ValueError - Seed must be an integer type. - """ - if seed is None: - # generate random seed - _seed: int = random.SeedSequence().entropy - elif isinstance(seed, (int, np.integer)): - _seed = seed - else: - raise ValueError("seed must be an integer") - - self._seed: int = _seed - self._rng: random.Generator = random.default_rng(self._seed) - - @property - def seed(self) -> int: - """ - Seed for random number generator. - - Returns - ------- - int - Seed. - """ - return self._seed # type: ignore - - @seed.setter - def seed(self, seed: int) -> None: - """ - Set seed for random number generator. - - Parameters - ---------- - seed : int - Seed for random number generator. - """ - - if isinstance(seed, (int, np.integer)): - self._seed = seed - self._rng = random.default_rng(seed) - else: - raise ValueError("seed must be an integer") - - def reset(self) -> None: - """ - Reset the random number generator of this distribution. - Resetting the seed will result in the same sequence of - random numbers being generated. - - Parameters - ---------- - """ - self._rng = random.default_rng(self.seed) - - def random_seed(self) -> None: - """ - Generate a new random seed for this distribution. - """ - self.seed = random.SeedSequence().entropy - - def draw(self, N: int) -> np.ndarray: - """ - Generate arrays of draws from this distribution. - If input N is a number, output is a length N array of draws from the - distribution. If N is a list, output is a length T list whose - t-th entry is a length N array of draws from the distribution[t]. - - Parameters - ---------- - N : int - Number of draws in each row. - - Returns: - ------------ - draws : np.array or [np.array] - T-length list of arrays of random variable draws each of size n, or - a single array of size N (if sigma is a scalar). - """ - - mean = self.mean() if callable(self.mean) else self.mean - size = (N, mean.size) if mean.size != 1 else N - return self.rvs(size=size, random_state=self._rng) - - def discretize( - self, N: int, method: str = "equiprobable", endpoints: bool = False, **kwds: Any - ) -> "DiscreteDistribution": - """ - Discretize the distribution into N points using the specified method. - - Parameters - ---------- - N : int - Number of points in the discretization. - method : str, optional - Method for discretization, by default "equiprobable" - endpoints : bool, optional - Whether to include endpoints in the discretization, by default False - - Returns - ------- - DiscreteDistribution - Discretized distribution. - - Raises - ------ - NotImplementedError - If method is not implemented for this distribution. - """ - - approx_method = "_approx_" + method - - if not hasattr(self, approx_method): - raise NotImplementedError( - "discretize() with method = {} not implemented for {} class".format( - method, self.__class__.__name__ - ) - ) - - approx = getattr(self, approx_method) - return approx(N, endpoints, **kwds) - - -# CONTINUOUS DISTRIBUTIONS - - -class ContinuousFrozenDistribution(rv_continuous_frozen, Distribution): - """ - Parameterized continuous distribution from scipy.stats with seed management. - """ - - def __init__( - self, dist: rv_continuous, *args: Any, seed: int = 0, **kwds: Any - ) -> None: - """ - Parameterized continuous distribution from scipy.stats with seed management. - - Parameters - ---------- - dist : rv_continuous - Continuous distribution from scipy.stats. - seed : int, optional - Seed for random number generator, by default 0 - """ - rv_continuous_frozen.__init__(self, dist, *args, **kwds) - Distribution.__init__(self, seed=seed) - - -class Normal(ContinuousFrozenDistribution): - """ - A Normal distribution. - - Parameters - ---------- - mu : float or [float] - One or more means. Number of elements T in mu determines number - of rows of output. - sigma : float or [float] - One or more standard deviations. Number of elements T in sigma - determines number of rows of output. - seed : int - Seed for random number generator. - """ - - def __init__(self, mu=0.0, sigma=1.0, seed=0): - self.mu = np.asarray(mu) - self.sigma = np.asarray(sigma) - - if self.mu.size != self.sigma.size: - raise AttributeError( - "mu and sigma must be of same size, are %s, %s" - % ((self.mu.size), (self.sigma.size)) - ) - - super().__init__(stats.norm, loc=mu, scale=sigma, seed=seed) - - def discretize(self, N, method="hermite", endpoints=False): - """ - For normal distributions, the Gauss-Hermite quadrature rule is - used as the default method for discretization. - """ - - return super().discretize(N, method, endpoints) - - def _approx_hermite(self, N, endpoints=False): - """ - Returns a discrete approximation of this distribution - using the Gauss-Hermite quadrature rule. - - TODO: add endpoints option - - Parameters - ---------- - N : int - Number of discrete points to approximate the distribution. - - Returns - ------- - DiscreteDistribution - Discrete approximation of this distribution. - """ - - x, w = np.polynomial.hermite.hermgauss(N) - # normalize w - pmv = w * np.pi**-0.5 - # correct x - atoms = math.sqrt(2.0) * self.sigma * x + self.mu - - limit = {"dist": self, "method": "hermite", "N": N, "endpoints": endpoints} - - return DiscreteDistribution( - pmv, - atoms, - seed=self._rng.integers(0, 2**31 - 1, dtype="int32"), - limit=limit, - ) - - def _approx_equiprobable(self, N, endpoints=False): - """ - Returns a discrete equiprobable approximation of this distribution. - - TODO: add endpoints option - - Parameters - ---------- - N : int - Number of discrete points to approximate the distribution. - - Returns - ------- - DiscreteDistribution - Discrete approximation of this distribution. - """ - - CDF = np.linspace(0, 1, N + 1) - lims = stats.norm.ppf(CDF) - pdf = stats.norm.pdf(lims) - - # Find conditional means using Mills's ratio - pmv = np.diff(CDF) - atoms = self.mu - np.diff(pdf) / pmv * self.sigma - - limit = {"dist": self, "method": "equiprobable", "N": N, "endpoints": endpoints} - - return DiscreteDistribution( - pmv, - atoms, - seed=self._rng.integers(0, 2**31 - 1, dtype="int32"), - limit=limit, - ) - - -class Lognormal(ContinuousFrozenDistribution): - """ - A Lognormal distribution - - Parameters - ---------- - mu : float or [float] - One or more means of underlying normal distribution. - Number of elements T in mu determines number of rows of output. - sigma : float or [float] - One or more standard deviations of underlying normal distribution. - Number of elements T in sigma determines number of rows of output. - seed : int - Seed for random number generator. - """ - - def __new__( - cls, - mu: Union[float, np.ndarray] = 0.0, - sigma: Union[float, np.ndarray] = 1.0, - seed: Optional[int] = 0, - mean=None, - std=None, - ): - """ - Create a new Lognormal distribution. If sigma is zero, return a - DiscreteDistribution with a single atom at exp(mu). - - Parameters - ---------- - mu : Union[float, np.ndarray], optional - Mean of underlying normal distribution, by default 0.0 - sigma : Union[float, np.ndarray], optional - Standard deviation of underlying normal distribution, by default 1.0 - seed : Optional[int], optional - Seed for random number generator, by default None - mean: optional - For alternative mean/std parameterization, the mean of the lognormal distribution - std: optional - For alternative mean/std parameterization, the standard deviation of the lognormal distribution - - Returns - ------- - Lognormal or DiscreteDistribution - Lognormal distribution or DiscreteDistribution with a single atom. - """ - - if sigma == 0: - # If sigma is zero, return a DiscreteDistribution with a single atom - return DiscreteDistribution([1.0], [np.exp(mu)], seed=seed) - - return super().__new__(cls) - - def __init__( - self, - mu: Union[float, np.ndarray] = 0.0, - sigma: Union[float, np.ndarray] = 1.0, - seed: Optional[int] = 0, - mean=None, - std=None, - ): - if mean is not None and sigma is not None: - mean_squared = mean**2 - variance = std**2 - mu = np.log(mean / (np.sqrt(1.0 + variance / mean_squared))) - sigma = np.sqrt(np.log(1.0 + variance / mean_squared)) - - self.mu = np.asarray(mu) - self.sigma = np.asarray(sigma) - - if self.mu.size != self.sigma.size: - raise AttributeError( - "mu and sigma must be of same size, are %s, %s" - % ((self.mu.size), (self.sigma.size)) - ) - - # Set up the RNG - super().__init__( - stats.lognorm, s=self.sigma, scale=np.exp(self.mu), loc=0, seed=seed - ) - - def _approx_equiprobable( - self, N, endpoints=False, tail_N=0, tail_bound=None, tail_order=np.e - ): - """ - Construct a discrete approximation to a lognormal distribution with underlying - normal distribution N(mu,sigma). Makes an equiprobable distribution by - default, but user can optionally request augmented tails with exponentially - sized point masses. This can improve solution accuracy in some models. - - TODO: add endpoints option - - Parameters - ---------- - N: int - Number of discrete points in the "main part" of the approximation. - tail_N: int - Number of points in each "tail part" of the approximation; 0 = no tail. - tail_bound: [float] - CDF boundaries of the tails vs main portion; tail_bound[0] is the lower - tail bound, tail_bound[1] is the upper tail bound. Inoperative when - tail_N = 0. Can make "one tailed" approximations with 0.0 or 1.0. - tail_order: float - Factor by which consecutive point masses in a "tail part" differ in - probability. Should be >= 1 for sensible spacing. - - Returns - ------- - d : DiscreteDistribution - Probability associated with each point in array of discrete - points for discrete probability mass function. - """ - - tail_bound = tail_bound if tail_bound is not None else [0.02, 0.98] - # Find the CDF boundaries of each segment - if self.sigma > 0.0: - if tail_N > 0: - lo_cut = tail_bound[0] - hi_cut = tail_bound[1] - else: - lo_cut = 0.0 - hi_cut = 1.0 - inner_size = hi_cut - lo_cut - inner_CDF_vals = [ - lo_cut + x * N ** (-1.0) * inner_size for x in range(1, N) - ] - if inner_size < 1.0: - scale = 1.0 / tail_order - mag = (1.0 - scale**tail_N) / (1.0 - scale) - lower_CDF_vals = [0.0] - if lo_cut > 0.0: - for x in range(tail_N - 1, -1, -1): - lower_CDF_vals.append(lower_CDF_vals[-1] + lo_cut * scale**x / mag) - upper_CDF_vals = [hi_cut] - if hi_cut < 1.0: - for x in range(tail_N): - upper_CDF_vals.append( - upper_CDF_vals[-1] + (1.0 - hi_cut) * scale**x / mag - ) - CDF_vals = lower_CDF_vals + inner_CDF_vals + upper_CDF_vals - temp_cutoffs = list( - stats.lognorm.ppf( - CDF_vals[1:-1], s=self.sigma, loc=0, scale=np.exp(self.mu) - ) - ) - cutoffs = [0] + temp_cutoffs + [np.inf] - CDF_vals = np.array(CDF_vals) - - K = CDF_vals.size - 1 # number of points in approximation - pmv = CDF_vals[1 : (K + 1)] - CDF_vals[0:K] - atoms = np.zeros(K) - for i in range(K): - zBot = cutoffs[i] - zTop = cutoffs[i + 1] - # Manual check to avoid the RuntimeWarning generated by "divide by zero" - # with np.log(zBot). - if zBot == 0: - tempBot = np.inf - else: - tempBot = (self.mu + self.sigma**2 - np.log(zBot)) / ( - np.sqrt(2) * self.sigma - ) - tempTop = (self.mu + self.sigma**2 - np.log(zTop)) / ( - np.sqrt(2) * self.sigma - ) - if tempBot <= 4: - atoms[i] = ( - -0.5 - * np.exp(self.mu + (self.sigma**2) * 0.5) - * (math.erf(tempTop) - math.erf(tempBot)) - / pmv[i] - ) - else: - atoms[i] = ( - -0.5 - * np.exp(self.mu + (self.sigma**2) * 0.5) - * (math.erfc(tempBot) - math.erfc(tempTop)) - / pmv[i] - ) - - else: - pmv = np.ones(N) / N - atoms = np.exp(self.mu) * np.ones(N) - - limit = { - "dist": self, - "method": "equiprobable", - "N": N, - "endpoints": endpoints, - "tail_N": tail_N, - "tail_bound": tail_bound, - "tail_order": tail_order, - } - - return DiscreteDistribution( - pmv, - atoms, - seed=self._rng.integers(0, 2**31 - 1, dtype="int32"), - limit=limit, - ) - - def _approx_hermite(self, N, endpoints=False): - """ - Returns a discrete approximation of this distribution - using the Gauss-Hermite quadrature rule. - - TODO: add endpoints option - - Parameters - ---------- - N : int - Number of discrete points to approximate the distribution. - - Returns - ------- - DiscreteDistribution - Discrete approximation of this distribution. - """ - - x, w = np.polynomial.hermite.hermgauss(N) - # normalize w - pmv = w * np.pi**-0.5 - # correct x - atoms = np.exp(np.sqrt(2.0) * self.sigma * x + self.mu) - - limit = {"dist": self, "method": "hermite", "N": N, "endpoints": endpoints} - - return DiscreteDistribution( - pmv, - atoms, - seed=self._rng.integers(0, 2**31 - 1, dtype="int32"), - limit=limit, - ) - - @classmethod - def from_mean_std(cls, mean, std, seed=0): - """ - Construct a LogNormal distribution from its - mean and standard deviation. - - This is unlike the normal constructor for the distribution, - which takes the mu and sigma for the normal distribution - that is the logarithm of the Log Normal distribution. - - Parameters - ---------- - mean : float or [float] - One or more means. Number of elements T in mu determines number - of rows of output. - std : float or [float] - One or more standard deviations. Number of elements T in sigma - determines number of rows of output. - seed : int - Seed for random number generator. - - Returns - --------- - LogNormal - - """ - mean_squared = mean**2 - variance = std**2 - mu = np.log(mean / (np.sqrt(1.0 + variance / mean_squared))) - sigma = np.sqrt(np.log(1.0 + variance / mean_squared)) - - return cls(mu=mu, sigma=sigma, seed=seed) - - -class MeanOneLogNormal(Lognormal): - """ - A Lognormal distribution with mean 1. - """ - - def __init__(self, sigma=1.0, seed=0): - mu = -0.5 * sigma**2 - super().__init__(mu=mu, sigma=sigma, seed=seed) - - -class Uniform(ContinuousFrozenDistribution): - """ - A Uniform distribution. - - Parameters - ---------- - bot : float or [float] - One or more bottom values. - Number of elements T in mu determines number - of rows of output. - top : float or [float] - One or more top values. - Number of elements T in top determines number of - rows of output. - seed : int - Seed for random number generator. - """ - - def __init__(self, bot=0.0, top=1.0, seed=0): - self.bot = np.asarray(bot) - self.top = np.asarray(top) - - super().__init__( - stats.uniform, loc=self.bot, scale=self.top - self.bot, seed=seed - ) - - def _approx_equiprobable(self, N, endpoints=False): - """ - Makes a discrete approximation to this uniform distribution. - - Parameters - ---------- - N : int - The number of points in the discrete approximation. - endpoints : bool - Whether to include the endpoints in the approximation. - - Returns - ------- - d : DiscreteDistribution - Probability associated with each point in array of discrete - points for discrete probability mass function. - """ - pmv = np.ones(N) / float(N) - - center = (self.top + self.bot) / 2.0 - width = (self.top - self.bot) / 2.0 - atoms = center + width * np.linspace(-(N - 1.0) / 2.0, (N - 1.0) / 2.0, N) / ( - N / 2.0 - ) - - if endpoints: # insert endpoints with infinitesimally small mass - atoms = np.concatenate(([self.bot], atoms, [self.top])) - pmv = np.concatenate(([0.0], pmv, [0.0])) - - limit = {"dist": self, "method": "equiprobable", "N": N, "endpoints": endpoints} - - return DiscreteDistribution( - pmv, - atoms, - seed=self._rng.integers(0, 2**31 - 1, dtype="int32"), - limit=limit, - ) - - -class Weibull(ContinuousFrozenDistribution): - """ - A Weibull distribution. - - Parameters - ---------- - scale : float or [float] - One or more scales. Number of elements T in scale - determines number of - rows of output. - shape : float or [float] - One or more shape parameters. Number of elements T in scale - determines number of rows of output. - seed : int - Seed for random number generator. - """ - - def __init__(self, scale=1.0, shape=1.0, seed=0): - self.scale = np.asarray(scale) - self.shape = np.asarray(shape) - # Set up the RNG - super().__init__(stats.weibull_min, c=shape, scale=scale, seed=seed) - - -# MULTIVARIATE DISTRIBUTIONS - - -class MVNormal(multivariate_normal_frozen, Distribution): - """ - A Multivariate Normal distribution. - - Parameters - ---------- - mu : numpy array - Mean vector. - Sigma : 2-d numpy array. Each dimension must have length equal to that of - mu. - Variance-covariance matrix. - seed : int - Seed for random number generator. - """ - - def __init__(self, mu=[1, 1], Sigma=[[1, 0], [0, 1]], seed=0): - self.mu = np.asarray(mu) - self.Sigma = np.asarray(Sigma) - self.M = self.mu.size - multivariate_normal_frozen.__init__(self, mean=self.mu, cov=self.Sigma) - Distribution.__init__(self, seed=seed) - - def discretize(self, N, method="hermite", endpoints=False): - """ - For multivariate normal distributions, the Gauss-Hermite - quadrature rule is used as the default method for discretization. - """ - - return self._approx(N, method=method, endpoints=endpoints) - - def _approx(self, N, method="hermite", endpoints=False): - """ - Returns a discrete approximation of this distribution. - - The discretization will have N**M points, where M is the dimension of - the multivariate normal. - - It uses the fact that: - - Being positive definite, Sigma can be factorized as Sigma = QVQ', - with V diagonal. So, letting A=Q*sqrt(V), Sigma = A*A'. - - If Z is an N-dimensional multivariate standard normal, then - A*Z ~ N(0,A*A' = Sigma). - - The idea therefore is to construct an equiprobable grid for a standard - normal and multiply it by matrix A. - """ - - # Start by computing matrix A. - v, Q = np.linalg.eig(self.Sigma) - sqrtV = np.diag(np.sqrt(v)) - A = np.matmul(Q, sqrtV) - - # Now find a discretization for a univariate standard normal. - - z_approx = Normal().discretize(N, method=method) - - # Now create the multivariate grid and pmv - Z = np.array(list(product(*[z_approx.atoms.flatten()] * self.M))) - pmv = np.prod(np.array(list(product(*[z_approx.pmv] * self.M))), axis=1) - - # Apply mean and standard deviation to the Z grid - atoms = self.mu[None, ...] + np.matmul(Z, A.T) - - limit = { - "dist": self, - "method": method, - "N": N, - "endpoints": endpoints, - } - - # Construct and return discrete distribution - return DiscreteDistribution( - pmv, - atoms.T, - seed=self._rng.integers(0, 2**31 - 1, dtype="int32"), - limit=limit, - ) - - -class MVLogNormal(multi_rv_frozen, Distribution): - """ - A Multivariate Lognormal distribution. - - Parameters - ---------- - mu : Union[list, numpy.ndarray], optional - Means of underlying multivariate normal, default [0.0, 0.0]. - Sigma : Union[list, numpy.ndarray], optional - nxn variance-covariance matrix of underlying multivariate normal, default [[1.0, 0.0], [0.0, 1.0]]. - seed : int, optional - Seed for random number generator, default 0. - """ - - def __init__( - self, - mu: Union[List, np.ndarray] = [0.0, 0.0], - Sigma: Union[List, np.ndarray] = [[1.0, 0.0], [0.0, 1.0]], - seed=None, - ): - self.mu = np.asarray(mu) - self.Sigma = np.asarray(Sigma) - self.M = self.mu.size - - if self.Sigma.shape != (self.M, self.M): - raise AttributeError(f"Sigma must be a {self.M}x{self.M} matrix") - - if np.array_equal(self.Sigma, self.Sigma.T): - res = np.all(np.linalg.eigvals(self.Sigma) >= 0) - if not res: - raise AttributeError("Sigma must be positive semi-definite") - else: - raise AttributeError("Sigma must be positive semi-definite") - - multi_rv_frozen.__init__(self) - Distribution.__init__(self, seed=seed) - - def mean(self): - """ - Mean of the distribution. - - Returns - ------- - np.ndarray - Mean of the distribution. - """ - - return np.exp(self.mu + 0.5 * np.diag(self.Sigma)) - - def _cdf(self, x: Union[list, np.ndarray]): - """ - Cumulative distribution function of the distribution evaluated at x. - - Parameters - ---------- - x : np.ndarray - Point at which to evaluate the CDF. - - Returns - ------- - float - CDF evaluated at x. - """ - - x = np.asarray(x) - - if (x.shape != self.M) & (x.shape[1] != self.M): - raise ValueError(f"x must be and {self.M}-dimensional input") - - return MVNormal(mu=self.mu, Sigma=self.Sigma).cdf(np.log(x)) - - def _pdf(self, x: Union[list, np.ndarray]): - """ - Probability density function of the distribution evaluated at x. - - Parameters - ---------- - x : Union[list, np.ndarray] - Point at which to evaluate the PDF. - - Returns - ------- - float - PDF evaluated at x. - """ - - x = np.asarray(x) - - if (x.shape != (self.M,)) & (x.shape[1] != self.M): - raise ValueError(f"x must be an {self.M}-dimensional input") - - eigenvalues = linalg.eigvals(self.Sigma) - - pseudo_det = np.prod(eigenvalues[eigenvalues > 1e-12]) - - inverse_sigma = linalg.pinv(self.Sigma) - - rank_sigma = linalg.matrix_rank(self.Sigma) - - pd = np.multiply( - (1 / np.prod(x, axis=1)), - (2 * np.pi) ** (-rank_sigma / 2) - * pseudo_det ** (-0.5) - * np.exp(-(1 / 2) * np.multiply(np.log(x) @ inverse_sigma, np.log(x))), - ) - - return pd - - def _marginal(self, x: Union[np.ndarray, float, list], dim: int): - """ - Marginal distribution of one of the variables in the bivariate distribution evaluated at x. - - Parameters - ---------- - x : Union[np.ndarray, float] - Point at which to evaluate the marginal distribution. - dim : int - Which of the random variables to evaluate (1 or 2). - - Returns - ------- - float - Marginal distribution evaluated at x. - """ - - x = np.asarray(x) - - x_dim = Lognormal( - mu=self.mu[dim - 1], sigma=np.sqrt(self.Sigma[dim - 1, dim - 1]) - ) - - return x_dim.pdf(x) - - def _marginal_cdf(self, x: Union[np.ndarray, float, list], dim: int): - """ - Cumulative distribution function of one of the variables from the bivariate distribution evaluated at x. - - Parameters - ---------- - x : Union[np.ndarray, float] - Point at which to evaluate the marginal CDF. - dim : int - Which of the random variables to evaluate (1 or 2). - - Returns - ------- - float - Marginal CDF evaluated at x. - """ - - x = np.asarray(x) - - x_dim = Lognormal( - mu=self.mu[dim - 1], sigma=np.sqrt(self.Sigma[dim - 1, dim - 1]) - ) - - return x_dim.cdf(x) - - def rvs(self, size: int = 1, random_state=None): - """ - Random sample from the distribution. - - Parameters - ---------- - size : int - Number of data points to generate. - random_state : optional - Seed for random number generator. - - Returns - ------- - np.ndarray - Random sample from the distribution. - """ - - Z = MVNormal(mu=self.mu, Sigma=self.Sigma) - - return np.exp(Z.rvs(size, random_state=random_state)) - - def _approx_equiprobable( - self, - N: int, - tail_bound: Union[float, list, tuple] = None, - endpoints: bool = False, - decomp: str = "cholesky", - ): - """ - Makes a discrete approximation using the equiprobable method to this multivariate lognormal distribution. - - Parameters - ---------- - N : int - The number of points in the discrete approximation. - tail_bound : Union[float, list, tuple], optional - The values of the CDF according to which the distribution is truncated. If only a single number is specified, it is the lower tail bound and a symmetric upper bound is chosen. Can make one-tailed approximations with 0.0 or 1.0 as the lower and upper bound respectively. By default the distribution is not truncated. - endpoints : bool - If endpoints is True, then atoms at the corner points of the truncated region are included. By default, endpoints is False, which is when only the interior points are included. - decomp : str in ["cholesky", "sqrt", "eig"], optional - The method of decomposing the covariance matrix. Available options are the Cholesky decomposition, the positive-definite square root, and the eigendecomposition. By default the Cholesky decomposition is used. NOTE: The method of decomposition might affect the expectations of the discretized distribution along each dimension dfferently. - - Returns - ------- - d : DiscreteDistribution - Probability associated with each point in array of discrete - points for discrete probability mass function. - """ - - if endpoints: - tail_N = 1 - else: - tail_N = 0 - - if decomp not in ["cholesky", "sqrt", "eig"]: - raise NotImplementedError( - "Decomposition method must be 'cholesky', 'sqrt' or 'eig'" - ) - - if np.array_equal(self.Sigma, np.diag(np.diag(self.Sigma))): - ind_atoms = np.empty((self.M, N)) - - for i in range(self.M): - if self.Sigma[i, i] == 0.0: - x_atoms = np.repeat(np.exp(self.mu[i]), N) - ind_atoms[i] = x_atoms - else: - x_atoms = ( - Lognormal(mu=self.mu[i], sigma=np.sqrt(self.Sigma[i, i])) - ._approx_equiprobable( - N, tail_N=tail_N, tail_bound=tail_bound, endpoints=endpoints - ) - .atoms - ) - ind_atoms[i] = x_atoms - - atoms_list = [ind_atoms[i] for i in range(self.M)] - atoms = np.stack( - [ar.flatten() for ar in list(np.meshgrid(*atoms_list))], axis=1 - ).T - pmv = np.repeat(1 / (N**self.M), N**self.M) - else: - if tail_bound is not None: - if type(tail_bound) is float: - tail_bound = [tail_bound, 1 - tail_bound] - - if tail_bound[0] < 0 or tail_bound[1] > 1: - raise ValueError("Tail bounds must be between 0 and 1") - - cdf_cuts = np.linspace(tail_bound[0], tail_bound[1], N + 1) - int_prob = tail_bound[1] - tail_bound[0] - - else: - cdf_cuts = np.linspace(0, 1, N + 1) - int_prob = 1.0 - - Z = Normal() - - z_cuts = np.empty(2 * tail_N + N + 1) - if tail_N > 0: - z_cuts[0:tail_N] = Z.ppf(cdf_cuts[0]) - z_cuts[-tail_N:] = Z.ppf(cdf_cuts[-1]) - - z_cuts[tail_N : tail_N + N + 1] = Z.ppf(cdf_cuts) - z_bins = [(z_cuts[i], z_cuts[i + 1]) for i in range(N + 2 * tail_N)] - - atoms = np.empty([self.M, (N + (2 * tail_N)) ** self.M]) - - interiors = np.empty([self.M, (N + 2 * tail_N) ** (self.M)]) - - inners = np.zeros(N + 2 * tail_N) - - if tail_N > 0: - inners[:tail_N] = [(tail_N - i) for i in range(tail_N)] - inners[-tail_N:] = [(i + 1) for i in range(tail_N)] - - def eval(params, z): - inds = [] - excl = [] - - for j in range(len(z)): - if z[j, 0] != z[j, 1]: - inds.append(j) - else: - excl.append(j) - - dim = len(inds) - - p = np.repeat(params[inds], 2).reshape(dim, 2) - - Z = np.multiply(p, z[inds]) - - bounds = ((p**2 - Z) / (np.sqrt(2) * p)).T - - if len(inds) > 0: - x_exp = np.prod( - -0.5 - * np.exp(np.square(params[inds]) / 2) - * (special.erf(bounds[1]) - special.erf(bounds[0])) - ) - else: - x_exp = 1 - - if len(excl) > 0: - x_others = np.prod(np.exp(np.multiply(params[excl], z[excl, 1]))) - else: - x_others = 1 - - return x_exp * x_others * (N / int_prob) ** dim - - if decomp == "cholesky": - L = np.linalg.cholesky(self.Sigma) - - for i in range(self.M): - mui = self.mu[i] - params = L[i, 0 : i + 1] - - Z_list = [z_bins for _ in range(i + 1)] - - Z_bins = [np.array(x) for x in list(product(*Z_list))] - - xi_atoms = [] - - for z_bin in Z_bins: - atom = np.exp(mui) * eval(params, z_bin) - xi_atoms.append(atom) - - xi_atoms_arr = np.repeat( - xi_atoms, (N + 2 * tail_N) ** (self.M - (i + 1)) - ) - - inners_i = [inners for _ in range((N + 2 * tail_N) ** i)] - - interiors[i] = np.repeat( - [*inners_i], (N + 2 * tail_N) ** (self.M - (i + 1)) - ) - - atoms[i] = xi_atoms_arr - else: - Λ, Q = np.linalg.eig(self.Sigma) - - A = Q @ np.diag(np.sqrt(Λ)) - - if decomp == "sqrt": - A = A @ Q.T - - for i in range(self.M): - mui = self.mu[i] - params = A[i] - - Z_list = [z_bins for _ in range(self.M)] - - Z_bins = [np.array(x) for x in list(product(*Z_list))] - - xi_atoms = [] - - for z_bin in Z_bins: - atom = np.exp(mui) * eval(params, z_bin) - xi_atoms.append(atom) - - inners_i = [inners for _ in range((N + 2 * tail_N) ** i)] - - interiors[i] = np.repeat( - [*inners_i], (N + 2 * tail_N) ** (self.M - (i + 1)) - ) - - atoms[i] = xi_atoms - - max_locs = np.argmax(np.abs(interiors), axis=0) - - max_inds = np.stack([max_locs, np.arange(len(max_locs))], axis=1) - - prob_locs = interiors[max_inds[:, 0], max_inds[:, 1]] - - def prob_assign(x): - if x == 0: - return 1 / (N**self.M) - else: - return 0.0 - - prob_vec = np.vectorize(prob_assign) - - pmv = prob_vec(prob_locs) - - limit = { - "dist": self, - "method": "equiprobable", - "N": N, - "endpoints": endpoints, - "tail_bound": tail_bound, - "decomp": decomp, - } - - return DiscreteDistribution( - pmv=pmv, - atoms=atoms, - seed=self._rng.integers(0, 2**31 - 1, dtype="int32"), - limit=limit, - ) - - -# DISCRETE DISTRIBUTIONS - - -class DiscreteFrozenDistribution(rv_discrete_frozen, Distribution): - """ - Parameterized discrete distribution from scipy.stats with seed management. - """ - - def __init__( - self, dist: rv_discrete, *args: Any, seed: int = 0, **kwds: Any - ) -> None: - """ - Parameterized discrete distribution from scipy.stats with seed management. - - Parameters - ---------- - dist : rv_discrete - Discrete distribution from scipy.stats. - seed : int, optional - Seed for random number generator, by default 0 - """ - - rv_discrete_frozen.__init__(self, dist, *args, **kwds) - Distribution.__init__(self, seed=seed) - - -class Bernoulli(DiscreteFrozenDistribution): - """ - A Bernoulli distribution. - - Parameters - ---------- - p : float or [float] - Probability or probabilities of the event occurring (True). - - seed : int - Seed for random number generator. - """ - - def __init__(self, p=0.5, seed=0): - self.p = np.asarray(p) - # Set up the RNG - super().__init__(stats.bernoulli, p=self.p, seed=seed) - - self.pmv = [1 - self.p, self.p] - self.atoms = [0, 1] - self.limit = {"dist": self} - - -class DiscreteDistribution(Distribution): - """ - A representation of a discrete probability distribution. - - Parameters - ---------- - pmv : np.array - An array of floats representing a probability mass function. - atoms : np.array - Discrete point values for each probability mass. - For multivariate distributions, the last dimension of atoms must index - "atom" or the random realization. For instance, if atoms.shape == (2,6,4), - the random variable has 4 possible realizations and each of them has shape (2,6). - seed : int - Seed for random number generator. - """ - - def __init__( - self, - pmv: np.ndarray, - atoms: np.ndarray, - seed: int = 0, - limit: Optional[Dict[str, Any]] = None, - ) -> None: - super().__init__(seed=seed) - - self.pmv = np.asarray(pmv) - self.atoms = np.atleast_2d(atoms) - self.limit = limit - - # Check that pmv and atoms have compatible dimensions. - if not self.pmv.size == self.atoms.shape[-1]: - raise ValueError( - "Provided pmv and atoms arrays have incompatible dimensions. " - + "The length of the pmv must be equal to that of atoms's last dimension." - ) - - def dim(self) -> int: - """ - Last dimension of self.atoms indexes "atom." - """ - return self.atoms.shape[:-1] - - def draw_events(self, N: int) -> np.ndarray: - """ - Draws N 'events' from the distribution PMF. - These events are indices into atoms. - """ - # Generate a cumulative distribution - base_draws = self._rng.uniform(size=N) - cum_dist = np.cumsum(self.pmv) - - # Convert the basic uniform draws into discrete draws - indices = cum_dist.searchsorted(base_draws) - - return indices - - def draw( - self, - N: int, - atoms: Union[None, int, np.ndarray] = None, - exact_match: bool = False, - ) -> np.ndarray: - """ - Simulates N draws from a discrete distribution with probabilities P and outcomes atoms. - - Parameters - ---------- - N : int - Number of draws to simulate. - atoms : None, int, or np.array - If None, then use this distribution's atoms for point values. - If an int, then the index of atoms for the point values. - If an np.array, use the array for the point values. - exact_match : boolean - Whether the draws should "exactly" match the discrete distribution (as - closely as possible given finite draws). When True, returned draws are - a random permutation of the N-length list that best fits the discrete - distribution. When False (default), each draw is independent from the - others and the result could deviate from the input. - - Returns - ------- - draws : np.array - An array of draws from the discrete distribution; each element is a value in atoms. - """ - if atoms is None: - atoms = self.atoms - elif isinstance(atoms, int): - atoms = self.atoms[atoms] - - if exact_match: - events = np.arange(self.pmv.size) # just a list of integers - cutoffs = np.round(np.cumsum(self.pmv) * N).astype( - int - ) # cutoff points between discrete outcomes - top = 0 - - # Make a list of event indices that closely matches the discrete distribution - event_list = [] - for j in range(events.size): - bot = top - top = cutoffs[j] - event_list += (top - bot) * [events[j]] - - # Randomly permute the event indices - indices = self._rng.permutation(event_list) - - # Draw event indices randomly from the discrete distribution - else: - indices = self.draw_events(N) - - # Create and fill in the output array of draws based on the output of event indices - draws = atoms[..., indices] - - # TODO: some models expect univariate draws to just be a 1d vector. Fix those models. - if len(draws.shape) == 2 and draws.shape[0] == 1: - draws = draws.flatten() - - return draws - - def expected( - self, func: Optional[Callable] = None, *args: np.ndarray - ) -> np.ndarray: - """ - Expected value of a function, given an array of configurations of its - inputs along with a DiscreteDistribution object that specifies the - probability of each configuration. - - If no function is provided, it's much faster to go straight to dot - product instead of calling the dummy function. - - If a function is provided, we need to add one more dimension, - the atom dimension, to any inputs that are n-dim arrays. - This allows numpy to easily broadcast the function's output. - For more information on broadcasting, see: - https://numpy.org/doc/stable/user/basics.broadcasting.html#general-broadcasting-rules - - Parameters - ---------- - func : function - The function to be evaluated. - This function should take the full array of distribution values - and return either arrays of arbitrary shape or scalars. - It may also take other arguments \\*args. - This function differs from the standalone `calc_expectation` - method in that it uses numpy's vectorization and broadcasting - rules to avoid costly iteration. - Note: If you need to use a function that acts on single outcomes - of the distribution, consider `distribution.calc_expectation`. - \\*args : - Other inputs for func, representing the non-stochastic arguments. - The the expectation is computed at ``f(dstn, *args)``. - - Returns - ------- - f_exp : np.array or scalar - The expectation of the function at the queried values. - Scalar if only one value. - """ - - if func is None: - f_query = self.atoms - else: - args = [ - np.expand_dims(arg, -1) if isinstance(arg, np.ndarray) else arg - for arg in args - ] - - f_query = func(self.atoms, *args) - - f_exp = np.dot(f_query, self.pmv) - - return f_exp - - def dist_of_func( - self, func: Callable[..., float] = lambda x: x, *args: Any - ) -> "DiscreteDistribution": - """ - Finds the distribution of a random variable Y that is a function - of discrete random variable atoms, Y=f(atoms). - - Parameters - ---------- - func : function - The function to be evaluated. - This function should take the full array of distribution values. - It may also take other arguments \\*args. - \\*args : - Additional non-stochastic arguments for func, - The function is computed as ``f(dstn, *args)``. - - Returns - ------- - f_dstn : DiscreteDistribution - The distribution of func(dstn). - """ - # we need to add one more dimension, - # the atom dimension, to any inputs that are n-dim arrays. - # This allows numpy to easily broadcast the function's output. - args = [ - np.expand_dims(arg, -1) if isinstance(arg, np.ndarray) else arg - for arg in args - ] - f_query = func(self.atoms, *args) - - f_dstn = DiscreteDistribution(list(self.pmv), f_query, seed=self.seed) - - return f_dstn - - def discretize(self, N: int, *args: Any, **kwargs: Any) -> "DiscreteDistribution": - """ - `DiscreteDistribution` is already an approximation, so this method - returns a copy of the distribution. - - TODO: print warning message? - """ - return self - - def make_univariate(self, dim_to_keep, seed=0): - """ - Make a univariate discrete distribution from this distribution, keeping - only the specified dimension. - - Parameters - ---------- - dim_to_keep : int - Index of the distribution to be kept. Any other dimensions will be - "collapsed" into the univariate atoms, combining probabilities. - seed : int, optional - Seed for random number generator of univariate distribution - - Returns - ------- - univariate_dstn : DiscreteDistribution - Univariate distribution with only the specified index. - """ - # Do basic validity and triviality checks - if (self.atoms.shape[0] == 1) and (dim_to_keep == 0): - return deepcopy(self) # Return copy of self if only one dimension - if dim_to_keep >= self.atoms.shape[0]: - raise ValueError("dim_to_keep exceeds dimensionality of distribution.") - - # Construct values and probabilities for univariate distribution - atoms_temp = self.atoms[dim_to_keep] - vals_to_keep = np.unique(atoms_temp) - probs_to_keep = np.zeros_like(vals_to_keep) - for i in range(vals_to_keep.size): - val = vals_to_keep[i] - these = atoms_temp == val - probs_to_keep[i] = np.sum(self.pmv[these]) - - # Make and return the univariate distribution - univariate_dstn = DiscreteDistribution( - pmv=probs_to_keep, atoms=vals_to_keep, seed=seed - ) - return univariate_dstn - - -class DiscreteDistributionLabeled(DiscreteDistribution): - """ - A representation of a discrete probability distribution - stored in an underlying `xarray.Dataset`. - - Parameters - ---------- - pmv : np.array - An array of values representing a probability mass function. - data : np.array - Discrete point values for each probability mass. - For multivariate distributions, the last dimension of atoms must index - "atom" or the random realization. For instance, if atoms.shape == (2,6,4), - the random variable has 4 possible realizations and each of them has shape (2,6). - seed : int - Seed for random number generator. - name : str - Name of the distribution. - attrs : dict - Attributes for the distribution. - var_names : list of str - Names of the variables in the distribution. - var_attrs : list of dict - Attributes of the variables in the distribution. - - """ - - def __init__( - self, - pmv: np.ndarray, - atoms: np.ndarray, - seed: int = 0, - limit: Optional[Dict[str, Any]] = None, - name: str = "DiscreteDistributionLabeled", - attrs: Optional[Dict[str, Any]] = None, - var_names: Optional[List[str]] = None, - var_attrs: Optional[List[Optional[Dict[str, Any]]]] = None, - ): - super().__init__(pmv, atoms, seed=seed, limit=limit) - - # vector-value distributions - - if self.atoms.ndim > 2: - raise NotImplementedError( - "Only vector-valued distributions are supported for now." - ) - - attrs = {} if attrs is None else attrs - limit = {} if limit is None else limit - attrs.update(limit) - attrs["name"] = name - - n_var = self.atoms.shape[0] - - # give dummy names to variables if none are provided - if var_names is None: - var_names = ["var_" + str(i) for i in range(n_var)] - - assert ( - len(var_names) == n_var - ), "Number of variable names does not match number of variables." - - # give dummy attributes to variables if none are provided - if var_attrs is None: - var_attrs = [None] * n_var - - # a DiscreteDistributionLabeled is an xr.Dataset where the only - # dimension is "atom", which indexes the random realizations. - self.dataset = xr.Dataset( - { - var_names[i]: xr.DataArray( - self.atoms[i], - dims=("atom"), - attrs=var_attrs[i], - ) - for i in range(n_var) - }, - attrs=attrs, - ) - - # the probability mass values are stored in - # a DataArray with dimension "atom" - self.probability = xr.DataArray(self.pmv, dims=("atom")) - - @classmethod - def from_unlabeled( - cls, - dist, - name="DiscreteDistributionLabeled", - attrs=None, - var_names=None, - var_attrs=None, - ): - ldd = cls( - dist.pmv, - dist.atoms, - seed=dist.seed, - limit=dist.limit, - name=name, - attrs=attrs, - var_names=var_names, - var_attrs=var_attrs, - ) - - return ldd - - @classmethod - def from_dataset(cls, x_obj, pmf): - ldd = cls.__new__(cls) - - if isinstance(x_obj, xr.Dataset): - ldd.dataset = x_obj - elif isinstance(x_obj, xr.DataArray): - ldd.dataset = xr.Dataset({x_obj.name: x_obj}) - elif isinstance(x_obj, dict): - ldd.dataset = xr.Dataset(x_obj) - - ldd.probability = pmf - - return ldd - - @property - def _weighted(self): - """ - Returns a DatasetWeighted object for the distribution. - """ - return self.dataset.weighted(self.probability) - - @property - def variables(self): - """ - A dict-like container of DataArrays corresponding to - the variables of the distribution. - """ - return self.dataset.data_vars - - @property - def name(self): - """ - The distribution's name. - """ - return self.dataset.name - - @property - def attrs(self): - """ - The distribution's attributes. - """ - - return self.dataset.attrs - - def dist_of_func( - self, func: Callable = lambda x: x, *args, **kwargs - ) -> DiscreteDistribution: - """ - Finds the distribution of a random variable Y that is a function - of discrete random variable atoms, Y=f(atoms). - - Parameters - ---------- - func : function - The function to be evaluated. - This function should take the full array of distribution values. - It may also take other arguments \\*args. - \\*args : - Additional non-stochastic arguments for func, - The function is computed as ``f(dstn, *args)``. - \\*\\*kwargs : - Additional keyword arguments for func. Must be xarray compatible - in order to work with xarray broadcasting. - - Returns - ------- - f_dstn : DiscreteDistribution or DiscreteDistributionLabeled - The distribution of func(dstn). - """ - - def func_wrapper(x: np.ndarray, *args: Any) -> np.ndarray: - """ - Wrapper function for `func` that handles labeled indexing. - """ - - idx = self.variables.keys() - wrapped = dict(zip(idx, x)) - - return func(wrapped, *args) - - if len(kwargs): - f_query = func(self.dataset, **kwargs) - ldd = DiscreteDistributionLabeled.from_dataset(f_query, self.probability) - - return ldd - - return super().dist_of_func(func_wrapper, *args) - - def expected( - self, func: Optional[Callable] = None, *args: Any, **kwargs: Any - ) -> Union[float, np.ndarray]: - """ - Expectation of a function, given an array of configurations of its inputs - along with a DiscreteDistributionLabeled object that specifies the probability - of each configuration. - - Parameters - ---------- - func : function - The function to be evaluated. - This function should take the full array of distribution values - and return either arrays of arbitrary shape or scalars. - It may also take other arguments \\*args. - This function differs from the standalone `calc_expectation` - method in that it uses numpy's vectorization and broadcasting - rules to avoid costly iteration. - Note: If you need to use a function that acts on single outcomes - of the distribution, consider `distribution.calc_expectation`. - \\*args : - Other inputs for func, representing the non-stochastic arguments. - The the expectation is computed at ``f(dstn, *args)``. - labels : bool - If True, the function should use labeled indexing instead of integer - indexing using the distribution's underlying rv coordinates. For example, - if `dims = ('rv', 'x')` and `coords = {'rv': ['a', 'b'], }`, then - the function can be `lambda x: x["a"] + x["b"]`. - - Returns - ------- - f_exp : np.array or scalar - The expectation of the function at the queried values. - Scalar if only one value. - """ - - def func_wrapper(x, *args): - """ - Wrapper function for `func` that handles labeled indexing. - """ - - idx = self.variables.keys() - wrapped = dict(zip(idx, x)) - - return func(wrapped, *args) - - if len(kwargs): - f_query = func(self.dataset, *args, **kwargs) - ldd = DiscreteDistributionLabeled.from_dataset(f_query, self.probability) - - return ldd._weighted.mean("atom") - else: - if func is None: - return super().expected() - else: - return super().expected(func_wrapper, *args) - - -class IndexDistribution(Distribution): - """ - This class provides a way to define a distribution that - is conditional on an index. - - The current implementation combines a defined distribution - class (such as Bernoulli, LogNormal, etc.) with information - about the conditions on the parameters of the distribution. - - For example, an IndexDistribution can be defined as - a Bernoulli distribution whose parameter p is a function of - a different input parameter. - - Parameters - ---------- - - engine : Distribution class - A Distribution subclass. - - conditional: dict - Information about the conditional variation - on the input parameters of the engine distribution. - Keys should match the arguments to the engine class - constructor. - - seed : int - Seed for random number generator. - """ - - conditional = None - engine = None - - def __init__(self, engine, conditional, RNG=None, seed=0): - if RNG is None: - # Set up the RNG - super().__init__(seed) - else: - # If an RNG is received, use it in whatever state it is in. - self._rng = RNG - # The seed will still be set, even if it is not used for the RNG, - # for whenever self.reset() is called. - # Note that self.reset() will stop using the RNG that was passed - # and create a new one. - self.seed = seed - - self.conditional = conditional - self.engine = engine - - self.dstns = [] - - # Test one item to determine case handling - item0 = list(self.conditional.values())[0] - - if type(item0) is list: - # Create and store all the conditional distributions - for y in range(len(item0)): - cond = {key: val[y] for (key, val) in self.conditional.items()} - self.dstns.append( - self.engine(seed=self._rng.integers(0, 2**31 - 1), **cond) - ) - - elif type(item0) is float: - self.dstns = [ - self.engine(seed=self._rng.integers(0, 2**31 - 1), **conditional) - ] - - else: - raise ( - Exception( - f"IndexDistribution: Unhandled case for __getitem__ access. item0: {item0}; conditional: {self.conditional}" - ) - ) - - def __getitem__(self, y): - return self.dstns[y] - - def discretize(self, N, **kwds): - """ - Approximation of the distribution. - - Parameters - ---------- - N : init - Number of discrete points to approximate - continuous distribution into. - - kwds: dict - Other keyword arguments passed to engine - distribution approx() method. - - Returns: - ------------ - dists : [DiscreteDistribution] - A list of DiscreteDistributions that are the - approximation of engine distribution under each condition. - - TODO: It would be better if there were a conditional discrete - distribution representation. But that integrates with the - solution code. This implementation will return the list of - distributions representations expected by the solution code. - """ - - # test one item to determine case handling - item0 = list(self.conditional.values())[0] - - if type(item0) is float: - # degenerate case. Treat the parameterization as constant. - return self.dstns[0].discretize(N, **kwds) - - if type(item0) is list: - return TimeVaryingDiscreteDistribution( - [self[i].discretize(N, **kwds) for i, _ in enumerate(item0)] - ) - - def draw(self, condition): - """ - Generate arrays of draws. - The input is an array containing the conditions. - The output is an array of the same length (axis 1 dimension) - as the conditions containing random draws of the conditional - distribution. - - Parameters - ---------- - condition : np.array - The input conditions to the distribution. - - Returns: - ------------ - draws : np.array - """ - # for now, assume that all the conditionals - # are of the same type. - # this matches the HARK 'time-varying' model architecture. - - # test one item to determine case handling - item0 = list(self.conditional.values())[0] - - if type(item0) is float: - # degenerate case. Treat the parameterization as constant. - N = condition.size - - return self.engine( - seed=self._rng.integers(0, 2**31 - 1), **self.conditional - ).draw(N) - - if type(item0) is list: - # conditions are indices into list - # somewhat convoluted sampling strategy retained - # for test backwards compatibility - - draws = np.zeros(condition.size) - - for c in np.unique(condition): - these = c == condition - N = np.sum(these) - - cond = {key: val[c] for (key, val) in self.conditional.items()} - draws[these] = self[c].draw(N) - - return draws - - -class TimeVaryingDiscreteDistribution(Distribution): - """ - This class provides a way to define a discrete distribution that - is conditional on an index. - - Wraps a list of discrete distributions. - - Parameters - ---------- - - distributions : [DiscreteDistribution] - A list of discrete distributions - - seed : int - Seed for random number generator. - """ - - distributions = [] - - def __init__(self, distributions, seed=0): - # Set up the RNG - super().__init__(seed) - - self.distributions = distributions - - def __getitem__(self, y): - return self.distributions[y] - - def draw(self, condition): - """ - Generate arrays of draws. - The input is an array containing the conditions. - The output is an array of the same length (axis 1 dimension) - as the conditions containing random draws of the conditional - distribution. - - Parameters - ---------- - condition : np.array - The input conditions to the distribution. - - Returns: - ------------ - draws : np.array - """ - # for now, assume that all the conditionals - # are of the same type. - # this matches the HARK 'time-varying' model architecture. - - # conditions are indices into list - # somewhat convoluted sampling strategy retained - # for test backwards compatibility - draws = np.zeros(condition.size) - - for c in np.unique(condition): - these = c == condition - N = np.sum(these) - - draws[these] = self.distributions[c].draw(N) - - return draws - - -def approx_lognormal_gauss_hermite(N, mu=0.0, sigma=1.0, seed=0): - d = Normal(mu, sigma).discretize(N, method="hermite") - return DiscreteDistribution(d.pmv, np.exp(d.atoms), seed=seed) - - -def calc_normal_style_pars_from_lognormal_pars(avg_lognormal, std_lognormal): - varLognormal = std_lognormal**2 - varNormal = math.log(1 + varLognormal / avg_lognormal**2) - avgNormal = math.log(avg_lognormal) - varNormal * 0.5 - std_normal = math.sqrt(varNormal) - return avgNormal, std_normal - - -def calc_lognormal_style_pars_from_normal_pars(mu_normal, std_normal): - varNormal = std_normal**2 - avg_lognormal = math.exp(mu_normal + varNormal * 0.5) - varLognormal = (math.exp(varNormal) - 1) * avg_lognormal**2 - std_lognormal = math.sqrt(varLognormal) - return avg_lognormal, std_lognormal - - -def approx_beta(N, a=1.0, b=1.0): - """ - Calculate a discrete approximation to the beta distribution. May be quite - slow, as it uses a rudimentary numeric integration method to generate the - discrete approximation. - - Parameters - ---------- - N : int - Size of discrete space vector to be returned. - a : float - First shape parameter (sometimes called alpha). - b : float - Second shape parameter (sometimes called beta). - - Returns - ------- - d : DiscreteDistribution - Probability associated with each point in array of discrete - points for discrete probability mass function. - """ - P = 1000 - vals = np.reshape(stats.beta.ppf(np.linspace(0.0, 1.0, N * P), a, b), (N, P)) - atoms = np.mean(vals, axis=1) - pmv = np.ones(N) / float(N) - return DiscreteDistribution(pmv, atoms) - - -def make_markov_approx_to_normal(x_grid, mu, sigma, K=351, bound=3.5): - """ - Creates an approximation to a normal distribution with mean mu and standard - deviation sigma, returning a stochastic vector called p_vec, corresponding - to values in x_grid. If a RV is distributed x~N(mu,sigma), then the expectation - of a continuous function f() is E[f(x)] = numpy.dot(p_vec,f(x_grid)). - - Parameters - ---------- - x_grid: numpy.array - A sorted 1D array of floats representing discrete values that a normally - distributed RV could take on. - mu: float - Mean of the normal distribution to be approximated. - sigma: float - Standard deviation of the normal distribution to be approximated. - K: int - Number of points in the normal distribution to sample. - bound: float - Truncation bound of the normal distribution, as +/- bound*sigma. - - Returns - ------- - p_vec: numpy.array - A stochastic vector with probability weights for each x in x_grid. - """ - x_n = x_grid.size # Number of points in the outcome grid - lower_bound = -bound # Lower bound of normal draws to consider, in SD - upper_bound = bound # Upper bound of normal draws to consider, in SD - raw_sample = np.linspace( - lower_bound, upper_bound, K - ) # Evenly spaced draws between bounds - f_weights = stats.norm.pdf(raw_sample) # Relative probability of each draw - sample = mu + sigma * raw_sample # Adjusted bounds, given mean and stdev - w_vec = np.zeros(x_n) # A vector of outcome weights - - # Find the relative position of each of the draws - sample_pos = np.searchsorted(x_grid, sample) - sample_pos[sample_pos < 1] = 1 - sample_pos[sample_pos > x_n - 1] = x_n - 1 - - # Make arrays of the x_grid point directly above and below each draw - bot = x_grid[sample_pos - 1] - top = x_grid[sample_pos] - alpha = (sample - bot) / (top - bot) - - # Keep the weights (alpha) in bounds - alpha_clipped = np.clip(alpha, 0.0, 1.0) - - # Loop through each x_grid point and add up the probability that each nearby - # draw contributes to it (accounting for distance) - for j in range(1, x_n): - c = sample_pos == j - w_vec[j - 1] = w_vec[j - 1] + np.dot(f_weights[c], 1.0 - alpha_clipped[c]) - w_vec[j] = w_vec[j] + np.dot(f_weights[c], alpha_clipped[c]) - - # Reweight the probabilities so they sum to 1 - W = np.sum(w_vec) - p_vec = w_vec / W - - # Check for obvious errors, and return p_vec - assert ( - (np.all(p_vec >= 0.0)) - and (np.all(p_vec <= 1.0)) - and (np.isclose(np.sum(p_vec), 1.0)) - ) - return p_vec - - -def make_markov_approx_to_normal_by_monte_carlo(x_grid, mu, sigma, N_draws=10000): - """ - Creates an approximation to a normal distribution with mean mu and standard - deviation sigma, by Monte Carlo. - Returns a stochastic vector called p_vec, corresponding - to values in x_grid. If a RV is distributed x~N(mu,sigma), then the expectation - of a continuous function f() is E[f(x)] = numpy.dot(p_vec,f(x_grid)). - - Parameters - ---------- - x_grid: numpy.array - A sorted 1D array of floats representing discrete values that a normally - distributed RV could take on. - mu: float - Mean of the normal distribution to be approximated. - sigma: float - Standard deviation of the normal distribution to be approximated. - N_draws: int - Number of draws to use in Monte Carlo. - - Returns - ------- - p_vec: numpy.array - A stochastic vector with probability weights for each x in x_grid. - """ - - # Take random draws from the desired normal distribution - random_draws = np.random.normal(loc=mu, scale=sigma, size=N_draws) - - # Compute the distance between the draws and points in x_grid - distance = np.abs(x_grid[:, np.newaxis] - random_draws[np.newaxis, :]) - - # Find the indices of the points in x_grid that are closest to the draws - distance_minimizing_index = np.argmin(distance, axis=0) - - # For each point in x_grid, the approximate probability of that point is the number - # of Monte Carlo draws that are closest to that point - p_vec = np.zeros_like(x_grid) - for p_index, p in enumerate(p_vec): - p_vec[p_index] = np.sum(distance_minimizing_index == p_index) / N_draws - - # Check for obvious errors, and return p_vec - assert ( - (np.all(p_vec >= 0.0)) - and (np.all(p_vec <= 1.0)) - and (np.isclose(np.sum(p_vec)), 1.0) - ) - return p_vec - - -def make_tauchen_ar1(N, sigma=1.0, ar_1=0.9, bound=3.0): - """ - Function to return a discretized version of an AR1 process. - See https://www.fperri.net/TEACHING/macrotheory08/numerical.pdf for details - - Parameters - ---------- - N: int - Size of discretized grid - sigma: float - Standard deviation of the error term - ar_1: float - AR1 coefficient - bound: float - The highest (lowest) grid point will be bound (-bound) multiplied by the unconditional - standard deviation of the process - - Returns - ------- - y: np.array - Grid points on which the discretized process takes values - trans_matrix: np.array - Markov transition array for the discretized process - """ - yN = bound * sigma / ((1 - ar_1**2) ** 0.5) - y = np.linspace(-yN, yN, N) - d = y[1] - y[0] - trans_matrix = np.ones((N, N)) - for j in range(N): - for k_1 in range(N - 2): - k = k_1 + 1 - trans_matrix[j, k] = stats.norm.cdf( - (y[k] + d / 2.0 - ar_1 * y[j]) / sigma - ) - stats.norm.cdf((y[k] - d / 2.0 - ar_1 * y[j]) / sigma) - trans_matrix[j, 0] = stats.norm.cdf((y[0] + d / 2.0 - ar_1 * y[j]) / sigma) - trans_matrix[j, N - 1] = 1.0 - stats.norm.cdf( - (y[N - 1] - d / 2.0 - ar_1 * y[j]) / sigma - ) - - return y, trans_matrix - - -# ================================================================================ -# ==================== Functions for manipulating discrete distributions ========= -# ================================================================================ - - -def add_discrete_outcome_constant_mean(distribution, x, p, sort=False): - """ - Adds a discrete outcome of x with probability p to an existing distribution, - holding constant the relative probabilities of other outcomes and overall mean. - - Parameters - ---------- - distribution : DiscreteDistribution - A one-dimensional DiscreteDistribution. - x : float - The new value to be added to the distribution. - p : float - The probability of the discrete outcome x occuring. - sort: bool - Whether or not to sort atoms before returning it - - Returns - ------- - d : DiscreteDistribution - Probability associated with each point in array of discrete - points for discrete probability mass function. - """ - - if type(distribution) != TimeVaryingDiscreteDistribution: - atoms = np.append(x, distribution.atoms * (1 - p * x) / (1 - p)) - pmv = np.append(p, distribution.pmv * (1 - p)) - - if sort: - indices = np.argsort(atoms) - atoms = atoms[indices] - pmv = pmv[indices] - - return DiscreteDistribution(pmv, atoms) - elif type(distribution) == TimeVaryingDiscreteDistribution: - # apply recursively on all the internal distributions - return TimeVaryingDiscreteDistribution( - [ - add_discrete_outcome_constant_mean(d, x, p) - for d in distribution.distributions - ], - seed=distribution.seed, - ) - - -def add_discrete_outcome(distribution, x, p, sort=False): - """ - Adds a discrete outcome of x with probability p to an existing distribution, - holding constant the relative probabilities of other outcomes. - - Parameters - ---------- - distribution : DiscreteDistribution - One-dimensional distribution to which the outcome is to be added. - x : float - The new value to be added to the distribution. - p : float - The probability of the discrete outcome x occuring. - - Returns - ------- - d : DiscreteDistribution - Probability associated with each point in array of discrete - points for discrete probability mass function. - """ - - atoms = np.append(x, distribution.atoms) - pmv = np.append(p, distribution.pmv * (1 - p)) - - if sort: - indices = np.argsort(atoms) - atoms = atoms[indices] - pmv = pmv[indices] - - return DiscreteDistribution(pmv, atoms) - - -def combine_indep_dstns(*distributions, seed=0): - """ - Given n independent vector-valued discrete distributions, construct their joint discrete distribution. - Can take multivariate discrete distributions as inputs. - - Parameters - ---------- - distributions : DiscreteDistribution - Arbitrary number of discrete distributionss to combine. Their realizations must be - vector-valued (for each D in distributions, it must be the case that len(D.dim())==1). - - Returns - ------- - A DiscreteDistribution representing the joint distribution of the given - random variables. - """ - # Get information on the distributions - dist_lengths = () - dist_dims = () - dist_is_labeled = () - var_labels = () - for dist in distributions: - if len(dist.dim()) > 1: - raise NotImplementedError( - "We currently only support combining vector-valued distributions." - ) - - dist_dims += (dist.dim(),) - dist_lengths += (len(dist.pmv),) - - labeled = isinstance(dist, DiscreteDistributionLabeled) - dist_is_labeled += (labeled,) - if labeled: - var_labels += tuple(dist.dataset.data_vars.keys()) - else: - var_labels += tuple([""] * dist.dim()[0]) - - number_of_distributions = len(distributions) - - all_labeled = all(dist_is_labeled) - labels_are_unique = len(var_labels) == len(set(var_labels)) - - # We need the combinations of indices of realizations in all - # distributions - inds = np.meshgrid( - *[np.array(range(l), dtype=int) for l in dist_lengths], indexing="ij" - ) - inds = [x.flatten() for x in inds] - - atoms_out = [] - P_temp = [] - for i, ind_vec in enumerate(inds): - atoms_out += [distributions[i].atoms[..., ind_vec]] - P_temp += [distributions[i].pmv[ind_vec]] - - atoms_out = np.concatenate(atoms_out, axis=0) - P_temp = np.stack(P_temp, axis=0) - P_out = np.prod(P_temp, axis=0) - - assert np.isclose(np.sum(P_out), 1), "Probabilities do not sum to 1!" - - if all_labeled and labels_are_unique: - combined_dstn = DiscreteDistributionLabeled( - pmv=P_out, - atoms=atoms_out, - var_names=var_labels, - seed=seed, - ) - else: - if all_labeled and not labels_are_unique: - warn( - "There are duplicated labels in the provided distributions. Returning a non-labeled combination" - ) - combined_dstn = DiscreteDistribution(P_out, atoms_out, seed=seed) - - return combined_dstn - - -def calc_expectation(dstn, func=lambda x: x, *args): - """ - Expectation of a function, given an array of configurations of its inputs - along with a DiscreteDistribution object that specifies the probability - of each configuration. - - Parameters - ---------- - dstn : DiscreteDistribution - The distribution over which the function is to be evaluated. - func : function - The function to be evaluated. - This function should take an array of shape dstn.dim() and return - either arrays of arbitrary shape or scalars. - It may also take other arguments \\*args. - \\*args : - Other inputs for func, representing the non-stochastic arguments. - The the expectation is computed at ``f(dstn, *args)``. - - Returns - ------- - f_exp : np.array or scalar - The expectation of the function at the queried values. - Scalar if only one value. - """ - - f_query = [func(dstn.atoms[..., i], *args) for i in range(len(dstn.pmv))] - - f_query = np.stack(f_query, axis=-1) - - # From the numpy.dot documentation: - # If both a and b are 1-D arrays, it is inner product of vectors (without complex conjugation). - # If a is an N-D array and b is a 1-D array, it is a sum product over the last axis of a and b. - # Thus, if func returns scalars, f_exp will be a scalar and if it returns arrays f_exp - # will be an array of the same shape. - f_exp = np.dot(f_query, dstn.pmv) - - return f_exp - - -def distr_of_function(dstn, func=lambda x: x, *args): - """ - Finds the distribution of a random variable Y that is a function - of discrete random variable atoms, Y=f(atoms). - - Parameters - ---------- - dstn : DiscreteDistribution - The distribution over which the function is to be evaluated. - func : function - The function to be evaluated. - This function should take an array of shape dstn.dim(). - It may also take other arguments \\*args. - \\*args : - Additional non-stochastic arguments for func, - The function is computed at ``f(dstn, *args)``. - - Returns - ------- - f_dstn : DiscreteDistribution - The distribution of func(dstn). - """ - # Apply function to every event realization - f_query = [func(dstn.atoms[..., i], *args) for i in range(len(dstn.pmv))] - - # Stack results along their last (new) axis - f_query = np.stack(f_query, axis=-1) - - f_dstn = DiscreteDistribution(dstn.pmv, f_query) - - return f_dstn - - -class MarkovProcess(Distribution): - """ - A representation of a discrete Markov process. - - Parameters - ---------- - transition_matrix : np.array - An array of floats representing a probability mass for - each state transition. - seed : int - Seed for random number generator. - - """ - - transition_matrix = None - - def __init__(self, transition_matrix, seed=0): - """ - Initialize a discrete distribution. - - """ - self.transition_matrix = transition_matrix - - # Set up the RNG - super().__init__(seed) - - def draw(self, state): - """ - Draw new states fromt the transition matrix. - - Parameters - ---------- - state : int or nd.array - The state or states (1-D array) from which to draw new states. - - Returns - ------- - new_state : int or nd.array - New states. - """ - - def sample(s): - return self._rng.choice( - self.transition_matrix.shape[1], p=self.transition_matrix[s, :] - ) - - array_sample = np.frompyfunc(sample, 1, 1) - - return array_sample(state) - - -def expected(func=None, dist=None, args=(), **kwargs): - """ - Expectation of a function, given an array of configurations of its inputs - along with a DiscreteDistribution(atomsRA) object that specifies the probability - of each configuration. - - Parameters - ---------- - func : function - The function to be evaluated. - This function should take the full array of distribution values - and return either arrays of arbitrary shape or scalars. - It may also take other arguments ``*args``. - This function differs from the standalone `calc_expectation` - method in that it uses numpy's vectorization and broadcasting - rules to avoid costly iteration. - Note: If you need to use a function that acts on single outcomes - of the distribution, consier `distribution.calc_expectation`. - dist : DiscreteDistribution or DiscreteDistributionLabeled - The distribution over which the function is to be evaluated. - args : tuple - Other inputs for func, representing the non-stochastic arguments. - The the expectation is computed at ``f(dstn, *args)``. - labels : bool - If True, the function should use labeled indexing instead of integer - indexing using the distribution's underlying rv coordinates. For example, - if `dims = ('rv', 'x')` and `coords = {'rv': ['a', 'b'], }`, then - the function can be `lambda x: x["a"] + x["b"]`. - - Returns - ------- - f_exp : np.array or scalar - The expectation of the function at the queried values. - Scalar if only one value. - """ - - if not isinstance(args, tuple): - args = (args,) - - if isinstance(dist, DiscreteDistributionLabeled): - return dist.expected(func, *args, **kwargs) - elif isinstance(dist, DiscreteDistribution): - return dist.expected(func, *args) diff --git a/HARK/distributions/__init__.py b/HARK/distributions/__init__.py new file mode 100644 index 000000000..def542ab4 --- /dev/null +++ b/HARK/distributions/__init__.py @@ -0,0 +1,54 @@ +__all__ = [ + "DiscreteDistribution", + "DiscreteDistributionLabeled", + "Distribution", + "IndexDistribution", + "TimeVaryingDiscreteDistribution", + "Lognormal", + "MeanOneLogNormal", + "Normal", + "Weibull", + "Bernoulli", + "MVLogNormal", + "MVNormal", + "approx_beta", + "approx_lognormal_gauss_hermite", + "calc_expectation", + "calc_lognormal_style_pars_from_normal_pars", + "calc_normal_style_pars_from_lognormal_pars", + "combine_indep_dstns", + "distr_of_function", + "expected", + "Uniform", + "MarkovProcess", + "add_discrete_outcome_constant_mean", +] + +from HARK.distributions.base import ( + DiscreteDistribution, + DiscreteDistributionLabeled, + Distribution, + IndexDistribution, + MarkovProcess, + TimeVaryingDiscreteDistribution, +) +from HARK.distributions.continuous import ( + Lognormal, + MeanOneLogNormal, + Normal, + Uniform, + Weibull, +) +from HARK.distributions.discrete import Bernoulli +from HARK.distributions.multivariate import MVLogNormal, MVNormal +from HARK.distributions.utils import ( + add_discrete_outcome_constant_mean, + approx_beta, + approx_lognormal_gauss_hermite, + calc_expectation, + calc_lognormal_style_pars_from_normal_pars, + calc_normal_style_pars_from_lognormal_pars, + combine_indep_dstns, + distr_of_function, + expected, +) diff --git a/HARK/distributions/base.py b/HARK/distributions/base.py new file mode 100644 index 000000000..b93969fa8 --- /dev/null +++ b/HARK/distributions/base.py @@ -0,0 +1,943 @@ +from copy import deepcopy +from typing import Any, Callable, Dict, List, Optional, Union + +import numpy as np +import xarray as xr +from numpy import random + + +class Distribution: + """ + Base class for all probability distributions + with seed and random number generator. + + For discussion on random number generation and random seeds, see + https://docs.scipy.org/doc/scipy/tutorial/stats.html#random-number-generation + + Parameters + ---------- + seed : Optional[int] + Seed for random number generator. + """ + + def __init__(self, seed: Optional[int] = 0) -> None: + """ + Generic distribution class with seed management. + + Parameters + ---------- + seed : Optional[int], optional + Seed for random number generator, by default None + generates random seed based on entropy. + + Raises + ------ + ValueError + Seed must be an integer type. + """ + if seed is None: + # generate random seed + _seed: int = random.SeedSequence().entropy + elif isinstance(seed, (int, np.integer)): + _seed = seed + else: + raise ValueError("seed must be an integer") + + self._seed: int = _seed + self._rng: random.Generator = random.default_rng(self._seed) + + @property + def seed(self) -> int: + """ + Seed for random number generator. + + Returns + ------- + int + Seed. + """ + return self._seed # type: ignore + + @seed.setter + def seed(self, seed: int) -> None: + """ + Set seed for random number generator. + + Parameters + ---------- + seed : int + Seed for random number generator. + """ + + if isinstance(seed, (int, np.integer)): + self._seed = seed + self._rng = random.default_rng(seed) + else: + raise ValueError("seed must be an integer") + + def reset(self) -> None: + """ + Reset the random number generator of this distribution. + Resetting the seed will result in the same sequence of + random numbers being generated. + + Parameters + ---------- + """ + self._rng = random.default_rng(self.seed) + + def random_seed(self) -> None: + """ + Generate a new random seed for this distribution. + """ + self.seed = random.SeedSequence().entropy + + def draw(self, N: int) -> np.ndarray: + """ + Generate arrays of draws from this distribution. + If input N is a number, output is a length N array of draws from the + distribution. If N is a list, output is a length T list whose + t-th entry is a length N array of draws from the distribution[t]. + + Parameters + ---------- + N : int + Number of draws in each row. + + Returns: + ------------ + draws : np.array or [np.array] + T-length list of arrays of random variable draws each of size n, or + a single array of size N (if sigma is a scalar). + """ + + mean = self.mean() if callable(self.mean) else self.mean + size = (N, mean.size) if mean.size != 1 else N + return self.rvs(size=size, random_state=self._rng) + + def discretize( + self, N: int, method: str = "equiprobable", endpoints: bool = False, **kwds: Any + ) -> "DiscreteDistribution": + """ + Discretize the distribution into N points using the specified method. + + Parameters + ---------- + N : int + Number of points in the discretization. + method : str, optional + Method for discretization, by default "equiprobable" + endpoints : bool, optional + Whether to include endpoints in the discretization, by default False + + Returns + ------- + DiscreteDistribution + Discretized distribution. + + Raises + ------ + NotImplementedError + If method is not implemented for this distribution. + """ + + approx_method = "_approx_" + method + + if not hasattr(self, approx_method): + raise NotImplementedError( + "discretize() with method = {} not implemented for {} class".format( + method, self.__class__.__name__ + ) + ) + + approx = getattr(self, approx_method) + return approx(N, endpoints, **kwds) + + +class DiscreteDistribution(Distribution): + """ + A representation of a discrete probability distribution. + + Parameters + ---------- + pmv : np.array + An array of floats representing a probability mass function. + atoms : np.array + Discrete point values for each probability mass. + For multivariate distributions, the last dimension of atoms must index + "atom" or the random realization. For instance, if atoms.shape == (2,6,4), + the random variable has 4 possible realizations and each of them has shape (2,6). + seed : int + Seed for random number generator. + """ + + def __init__( + self, + pmv: np.ndarray, + atoms: np.ndarray, + seed: int = 0, + limit: Optional[Dict[str, Any]] = None, + ) -> None: + super().__init__(seed=seed) + + self.pmv = np.asarray(pmv) + self.atoms = np.atleast_2d(atoms) + self.limit = limit + + # Check that pmv and atoms have compatible dimensions. + if not self.pmv.size == self.atoms.shape[-1]: + raise ValueError( + "Provided pmv and atoms arrays have incompatible dimensions. " + + "The length of the pmv must be equal to that of atoms's last dimension." + ) + + def dim(self) -> int: + """ + Last dimension of self.atoms indexes "atom." + """ + return self.atoms.shape[:-1] + + def draw_events(self, N: int) -> np.ndarray: + """ + Draws N 'events' from the distribution PMF. + These events are indices into atoms. + """ + # Generate a cumulative distribution + base_draws = self._rng.uniform(size=N) + cum_dist = np.cumsum(self.pmv) + + # Convert the basic uniform draws into discrete draws + indices = cum_dist.searchsorted(base_draws) + + return indices + + def draw( + self, + N: int, + atoms: Union[None, int, np.ndarray] = None, + exact_match: bool = False, + ) -> np.ndarray: + """ + Simulates N draws from a discrete distribution with probabilities P and outcomes atoms. + + Parameters + ---------- + N : int + Number of draws to simulate. + atoms : None, int, or np.array + If None, then use this distribution's atoms for point values. + If an int, then the index of atoms for the point values. + If an np.array, use the array for the point values. + exact_match : boolean + Whether the draws should "exactly" match the discrete distribution (as + closely as possible given finite draws). When True, returned draws are + a random permutation of the N-length list that best fits the discrete + distribution. When False (default), each draw is independent from the + others and the result could deviate from the input. + + Returns + ------- + draws : np.array + An array of draws from the discrete distribution; each element is a value in atoms. + """ + if atoms is None: + atoms = self.atoms + elif isinstance(atoms, int): + atoms = self.atoms[atoms] + + if exact_match: + events = np.arange(self.pmv.size) # just a list of integers + cutoffs = np.round(np.cumsum(self.pmv) * N).astype( + int + ) # cutoff points between discrete outcomes + top = 0 + + # Make a list of event indices that closely matches the discrete distribution + event_list = [] + for j in range(events.size): + bot = top + top = cutoffs[j] + event_list += (top - bot) * [events[j]] + + # Randomly permute the event indices + indices = self._rng.permutation(event_list) + + # Draw event indices randomly from the discrete distribution + else: + indices = self.draw_events(N) + + # Create and fill in the output array of draws based on the output of event indices + draws = atoms[..., indices] + + # TODO: some models expect univariate draws to just be a 1d vector. Fix those models. + if len(draws.shape) == 2 and draws.shape[0] == 1: + draws = draws.flatten() + + return draws + + def expected( + self, func: Optional[Callable] = None, *args: np.ndarray + ) -> np.ndarray: + """ + Expected value of a function, given an array of configurations of its + inputs along with a DiscreteDistribution object that specifies the + probability of each configuration. + + If no function is provided, it's much faster to go straight to dot + product instead of calling the dummy function. + + If a function is provided, we need to add one more dimension, + the atom dimension, to any inputs that are n-dim arrays. + This allows numpy to easily broadcast the function's output. + For more information on broadcasting, see: + https://numpy.org/doc/stable/user/basics.broadcasting.html#general-broadcasting-rules + + Parameters + ---------- + func : function + The function to be evaluated. + This function should take the full array of distribution values + and return either arrays of arbitrary shape or scalars. + It may also take other arguments \\*args. + This function differs from the standalone `calc_expectation` + method in that it uses numpy's vectorization and broadcasting + rules to avoid costly iteration. + Note: If you need to use a function that acts on single outcomes + of the distribution, consider `distribution.calc_expectation`. + \\*args : + Other inputs for func, representing the non-stochastic arguments. + The the expectation is computed at ``f(dstn, *args)``. + + Returns + ------- + f_exp : np.array or scalar + The expectation of the function at the queried values. + Scalar if only one value. + """ + + if func is None: + f_query = self.atoms + else: + args = [ + np.expand_dims(arg, -1) if isinstance(arg, np.ndarray) else arg + for arg in args + ] + + f_query = func(self.atoms, *args) + + f_exp = np.dot(f_query, self.pmv) + + return f_exp + + def dist_of_func( + self, func: Callable[..., float] = lambda x: x, *args: Any + ) -> "DiscreteDistribution": + """ + Finds the distribution of a random variable Y that is a function + of discrete random variable atoms, Y=f(atoms). + + Parameters + ---------- + func : function + The function to be evaluated. + This function should take the full array of distribution values. + It may also take other arguments \\*args. + \\*args : + Additional non-stochastic arguments for func, + The function is computed as ``f(dstn, *args)``. + + Returns + ------- + f_dstn : DiscreteDistribution + The distribution of func(dstn). + """ + # we need to add one more dimension, + # the atom dimension, to any inputs that are n-dim arrays. + # This allows numpy to easily broadcast the function's output. + args = [ + np.expand_dims(arg, -1) if isinstance(arg, np.ndarray) else arg + for arg in args + ] + f_query = func(self.atoms, *args) + + f_dstn = DiscreteDistribution(list(self.pmv), f_query, seed=self.seed) + + return f_dstn + + def discretize(self, N: int, *args: Any, **kwargs: Any) -> "DiscreteDistribution": + """ + `DiscreteDistribution` is already an approximation, so this method + returns a copy of the distribution. + + TODO: print warning message? + """ + return self + + def make_univariate(self, dim_to_keep, seed=0): + """ + Make a univariate discrete distribution from this distribution, keeping + only the specified dimension. + + Parameters + ---------- + dim_to_keep : int + Index of the distribution to be kept. Any other dimensions will be + "collapsed" into the univariate atoms, combining probabilities. + seed : int, optional + Seed for random number generator of univariate distribution + + Returns + ------- + univariate_dstn : DiscreteDistribution + Univariate distribution with only the specified index. + """ + # Do basic validity and triviality checks + if (self.atoms.shape[0] == 1) and (dim_to_keep == 0): + return deepcopy(self) # Return copy of self if only one dimension + if dim_to_keep >= self.atoms.shape[0]: + raise ValueError("dim_to_keep exceeds dimensionality of distribution.") + + # Construct values and probabilities for univariate distribution + atoms_temp = self.atoms[dim_to_keep] + vals_to_keep = np.unique(atoms_temp) + probs_to_keep = np.zeros_like(vals_to_keep) + for i in range(vals_to_keep.size): + val = vals_to_keep[i] + these = atoms_temp == val + probs_to_keep[i] = np.sum(self.pmv[these]) + + # Make and return the univariate distribution + univariate_dstn = DiscreteDistribution( + pmv=probs_to_keep, atoms=vals_to_keep, seed=seed + ) + return univariate_dstn + + +class DiscreteDistributionLabeled(DiscreteDistribution): + """ + A representation of a discrete probability distribution + stored in an underlying `xarray.Dataset`. + + Parameters + ---------- + pmv : np.array + An array of values representing a probability mass function. + data : np.array + Discrete point values for each probability mass. + For multivariate distributions, the last dimension of atoms must index + "atom" or the random realization. For instance, if atoms.shape == (2,6,4), + the random variable has 4 possible realizations and each of them has shape (2,6). + seed : int + Seed for random number generator. + name : str + Name of the distribution. + attrs : dict + Attributes for the distribution. + var_names : list of str + Names of the variables in the distribution. + var_attrs : list of dict + Attributes of the variables in the distribution. + + """ + + def __init__( + self, + pmv: np.ndarray, + atoms: np.ndarray, + seed: int = 0, + limit: Optional[Dict[str, Any]] = None, + name: str = "DiscreteDistributionLabeled", + attrs: Optional[Dict[str, Any]] = None, + var_names: Optional[List[str]] = None, + var_attrs: Optional[List[Optional[Dict[str, Any]]]] = None, + ): + super().__init__(pmv, atoms, seed=seed, limit=limit) + + # vector-value distributions + + if self.atoms.ndim > 2: + raise NotImplementedError( + "Only vector-valued distributions are supported for now." + ) + + attrs = {} if attrs is None else attrs + limit = {} if limit is None else limit + attrs.update(limit) + attrs["name"] = name + + n_var = self.atoms.shape[0] + + # give dummy names to variables if none are provided + if var_names is None: + var_names = ["var_" + str(i) for i in range(n_var)] + + assert ( + len(var_names) == n_var + ), "Number of variable names does not match number of variables." + + # give dummy attributes to variables if none are provided + if var_attrs is None: + var_attrs = [None] * n_var + + # a DiscreteDistributionLabeled is an xr.Dataset where the only + # dimension is "atom", which indexes the random realizations. + self.dataset = xr.Dataset( + { + var_names[i]: xr.DataArray( + self.atoms[i], + dims=("atom"), + attrs=var_attrs[i], + ) + for i in range(n_var) + }, + attrs=attrs, + ) + + # the probability mass values are stored in + # a DataArray with dimension "atom" + self.probability = xr.DataArray(self.pmv, dims=("atom")) + + @classmethod + def from_unlabeled( + cls, + dist, + name="DiscreteDistributionLabeled", + attrs=None, + var_names=None, + var_attrs=None, + ): + ldd = cls( + dist.pmv, + dist.atoms, + seed=dist.seed, + limit=dist.limit, + name=name, + attrs=attrs, + var_names=var_names, + var_attrs=var_attrs, + ) + + return ldd + + @classmethod + def from_dataset(cls, x_obj, pmf): + ldd = cls.__new__(cls) + + if isinstance(x_obj, xr.Dataset): + ldd.dataset = x_obj + elif isinstance(x_obj, xr.DataArray): + ldd.dataset = xr.Dataset({x_obj.name: x_obj}) + elif isinstance(x_obj, dict): + ldd.dataset = xr.Dataset(x_obj) + + ldd.probability = pmf + + return ldd + + @property + def _weighted(self): + """ + Returns a DatasetWeighted object for the distribution. + """ + return self.dataset.weighted(self.probability) + + @property + def variables(self): + """ + A dict-like container of DataArrays corresponding to + the variables of the distribution. + """ + return self.dataset.data_vars + + @property + def name(self): + """ + The distribution's name. + """ + return self.dataset.name + + @property + def attrs(self): + """ + The distribution's attributes. + """ + + return self.dataset.attrs + + def dist_of_func( + self, func: Callable = lambda x: x, *args, **kwargs + ) -> DiscreteDistribution: + """ + Finds the distribution of a random variable Y that is a function + of discrete random variable atoms, Y=f(atoms). + + Parameters + ---------- + func : function + The function to be evaluated. + This function should take the full array of distribution values. + It may also take other arguments \\*args. + \\*args : + Additional non-stochastic arguments for func, + The function is computed as ``f(dstn, *args)``. + \\*\\*kwargs : + Additional keyword arguments for func. Must be xarray compatible + in order to work with xarray broadcasting. + + Returns + ------- + f_dstn : DiscreteDistribution or DiscreteDistributionLabeled + The distribution of func(dstn). + """ + + def func_wrapper(x: np.ndarray, *args: Any) -> np.ndarray: + """ + Wrapper function for `func` that handles labeled indexing. + """ + + idx = self.variables.keys() + wrapped = dict(zip(idx, x)) + + return func(wrapped, *args) + + if len(kwargs): + f_query = func(self.dataset, **kwargs) + ldd = DiscreteDistributionLabeled.from_dataset(f_query, self.probability) + + return ldd + + return super().dist_of_func(func_wrapper, *args) + + def expected( + self, func: Optional[Callable] = None, *args: Any, **kwargs: Any + ) -> Union[float, np.ndarray]: + """ + Expectation of a function, given an array of configurations of its inputs + along with a DiscreteDistributionLabeled object that specifies the probability + of each configuration. + + Parameters + ---------- + func : function + The function to be evaluated. + This function should take the full array of distribution values + and return either arrays of arbitrary shape or scalars. + It may also take other arguments \\*args. + This function differs from the standalone `calc_expectation` + method in that it uses numpy's vectorization and broadcasting + rules to avoid costly iteration. + Note: If you need to use a function that acts on single outcomes + of the distribution, consider `distribution.calc_expectation`. + \\*args : + Other inputs for func, representing the non-stochastic arguments. + The the expectation is computed at ``f(dstn, *args)``. + labels : bool + If True, the function should use labeled indexing instead of integer + indexing using the distribution's underlying rv coordinates. For example, + if `dims = ('rv', 'x')` and `coords = {'rv': ['a', 'b'], }`, then + the function can be `lambda x: x["a"] + x["b"]`. + + Returns + ------- + f_exp : np.array or scalar + The expectation of the function at the queried values. + Scalar if only one value. + """ + + def func_wrapper(x, *args): + """ + Wrapper function for `func` that handles labeled indexing. + """ + + idx = self.variables.keys() + wrapped = dict(zip(idx, x)) + + return func(wrapped, *args) + + if len(kwargs): + f_query = func(self.dataset, *args, **kwargs) + ldd = DiscreteDistributionLabeled.from_dataset(f_query, self.probability) + + return ldd._weighted.mean("atom") + else: + if func is None: + return super().expected() + else: + return super().expected(func_wrapper, *args) + + +class MarkovProcess(Distribution): + """ + A representation of a discrete Markov process. + + Parameters + ---------- + transition_matrix : np.array + An array of floats representing a probability mass for + each state transition. + seed : int + Seed for random number generator. + + """ + + transition_matrix = None + + def __init__(self, transition_matrix, seed=0): + """ + Initialize a discrete distribution. + + """ + self.transition_matrix = transition_matrix + + # Set up the RNG + super().__init__(seed) + + def draw(self, state): + """ + Draw new states fromt the transition matrix. + + Parameters + ---------- + state : int or nd.array + The state or states (1-D array) from which to draw new states. + + Returns + ------- + new_state : int or nd.array + New states. + """ + + def sample(s): + return self._rng.choice( + self.transition_matrix.shape[1], p=self.transition_matrix[s, :] + ) + + array_sample = np.frompyfunc(sample, 1, 1) + + return array_sample(state) + + +class IndexDistribution(Distribution): + """ + This class provides a way to define a distribution that + is conditional on an index. + + The current implementation combines a defined distribution + class (such as Bernoulli, LogNormal, etc.) with information + about the conditions on the parameters of the distribution. + + For example, an IndexDistribution can be defined as + a Bernoulli distribution whose parameter p is a function of + a different input parameter. + + Parameters + ---------- + + engine : Distribution class + A Distribution subclass. + + conditional: dict + Information about the conditional variation + on the input parameters of the engine distribution. + Keys should match the arguments to the engine class + constructor. + + seed : int + Seed for random number generator. + """ + + conditional = None + engine = None + + def __init__(self, engine, conditional, RNG=None, seed=0): + if RNG is None: + # Set up the RNG + super().__init__(seed) + else: + # If an RNG is received, use it in whatever state it is in. + self._rng = RNG + # The seed will still be set, even if it is not used for the RNG, + # for whenever self.reset() is called. + # Note that self.reset() will stop using the RNG that was passed + # and create a new one. + self.seed = seed + + self.conditional = conditional + self.engine = engine + + self.dstns = [] + + # Test one item to determine case handling + item0 = list(self.conditional.values())[0] + + if type(item0) is list: + # Create and store all the conditional distributions + for y in range(len(item0)): + cond = {key: val[y] for (key, val) in self.conditional.items()} + self.dstns.append( + self.engine(seed=self._rng.integers(0, 2**31 - 1), **cond) + ) + + elif type(item0) is float: + self.dstns = [ + self.engine(seed=self._rng.integers(0, 2**31 - 1), **conditional) + ] + + else: + raise ( + Exception( + f"IndexDistribution: Unhandled case for __getitem__ access. item0: {item0}; conditional: {self.conditional}" + ) + ) + + def __getitem__(self, y): + return self.dstns[y] + + def discretize(self, N, **kwds): + """ + Approximation of the distribution. + + Parameters + ---------- + N : init + Number of discrete points to approximate + continuous distribution into. + + kwds: dict + Other keyword arguments passed to engine + distribution approx() method. + + Returns: + ------------ + dists : [DiscreteDistribution] + A list of DiscreteDistributions that are the + approximation of engine distribution under each condition. + + TODO: It would be better if there were a conditional discrete + distribution representation. But that integrates with the + solution code. This implementation will return the list of + distributions representations expected by the solution code. + """ + + # test one item to determine case handling + item0 = list(self.conditional.values())[0] + + if type(item0) is float: + # degenerate case. Treat the parameterization as constant. + return self.dstns[0].discretize(N, **kwds) + + if type(item0) is list: + return TimeVaryingDiscreteDistribution( + [self[i].discretize(N, **kwds) for i, _ in enumerate(item0)] + ) + + def draw(self, condition): + """ + Generate arrays of draws. + The input is an array containing the conditions. + The output is an array of the same length (axis 1 dimension) + as the conditions containing random draws of the conditional + distribution. + + Parameters + ---------- + condition : np.array + The input conditions to the distribution. + + Returns: + ------------ + draws : np.array + """ + # for now, assume that all the conditionals + # are of the same type. + # this matches the HARK 'time-varying' model architecture. + + # test one item to determine case handling + item0 = list(self.conditional.values())[0] + + if type(item0) is float: + # degenerate case. Treat the parameterization as constant. + N = condition.size + + return self.engine( + seed=self._rng.integers(0, 2**31 - 1), **self.conditional + ).draw(N) + + if type(item0) is list: + # conditions are indices into list + # somewhat convoluted sampling strategy retained + # for test backwards compatibility + + draws = np.zeros(condition.size) + + for c in np.unique(condition): + these = c == condition + N = np.sum(these) + + cond = {key: val[c] for (key, val) in self.conditional.items()} + draws[these] = self[c].draw(N) + + return draws + + +class TimeVaryingDiscreteDistribution(Distribution): + """ + This class provides a way to define a discrete distribution that + is conditional on an index. + + Wraps a list of discrete distributions. + + Parameters + ---------- + + distributions : [DiscreteDistribution] + A list of discrete distributions + + seed : int + Seed for random number generator. + """ + + distributions = [] + + def __init__(self, distributions, seed=0): + # Set up the RNG + super().__init__(seed) + + self.distributions = distributions + + def __getitem__(self, y): + return self.distributions[y] + + def draw(self, condition): + """ + Generate arrays of draws. + The input is an array containing the conditions. + The output is an array of the same length (axis 1 dimension) + as the conditions containing random draws of the conditional + distribution. + + Parameters + ---------- + condition : np.array + The input conditions to the distribution. + + Returns: + ------------ + draws : np.array + """ + # for now, assume that all the conditionals + # are of the same type. + # this matches the HARK 'time-varying' model architecture. + + # conditions are indices into list + # somewhat convoluted sampling strategy retained + # for test backwards compatibility + draws = np.zeros(condition.size) + + for c in np.unique(condition): + these = c == condition + N = np.sum(these) + + draws[these] = self.distributions[c].draw(N) + + return draws diff --git a/HARK/distributions/continuous.py b/HARK/distributions/continuous.py new file mode 100644 index 000000000..f8f56906c --- /dev/null +++ b/HARK/distributions/continuous.py @@ -0,0 +1,504 @@ +import math +from typing import Any, Optional, Union + +import numpy as np +from scipy import stats +from scipy.stats import rv_continuous +from scipy.stats._distn_infrastructure import rv_continuous_frozen + +from HARK.distributions.base import DiscreteDistribution, Distribution + +# CONTINUOUS DISTRIBUTIONS + + +class ContinuousFrozenDistribution(rv_continuous_frozen, Distribution): + """ + Parameterized continuous distribution from scipy.stats with seed management. + """ + + def __init__( + self, dist: rv_continuous, *args: Any, seed: int = 0, **kwds: Any + ) -> None: + """ + Parameterized continuous distribution from scipy.stats with seed management. + + Parameters + ---------- + dist : rv_continuous + Continuous distribution from scipy.stats. + seed : int, optional + Seed for random number generator, by default 0 + """ + rv_continuous_frozen.__init__(self, dist, *args, **kwds) + Distribution.__init__(self, seed=seed) + + +class Normal(ContinuousFrozenDistribution): + """ + A Normal distribution. + + Parameters + ---------- + mu : float or [float] + One or more means. Number of elements T in mu determines number + of rows of output. + sigma : float or [float] + One or more standard deviations. Number of elements T in sigma + determines number of rows of output. + seed : int + Seed for random number generator. + """ + + def __init__(self, mu=0.0, sigma=1.0, seed=0): + self.mu = np.asarray(mu) + self.sigma = np.asarray(sigma) + + if self.mu.size != self.sigma.size: + raise AttributeError( + "mu and sigma must be of same size, are %s, %s" + % ((self.mu.size), (self.sigma.size)) + ) + + super().__init__(stats.norm, loc=mu, scale=sigma, seed=seed) + + def discretize(self, N, method="hermite", endpoints=False): + """ + For normal distributions, the Gauss-Hermite quadrature rule is + used as the default method for discretization. + """ + + return super().discretize(N, method, endpoints) + + def _approx_hermite(self, N, endpoints=False): + """ + Returns a discrete approximation of this distribution + using the Gauss-Hermite quadrature rule. + + TODO: add endpoints option + + Parameters + ---------- + N : int + Number of discrete points to approximate the distribution. + + Returns + ------- + DiscreteDistribution + Discrete approximation of this distribution. + """ + + x, w = np.polynomial.hermite.hermgauss(N) + # normalize w + pmv = w * np.pi**-0.5 + # correct x + atoms = math.sqrt(2.0) * self.sigma * x + self.mu + + limit = {"dist": self, "method": "hermite", "N": N, "endpoints": endpoints} + + return DiscreteDistribution( + pmv, + atoms, + seed=self._rng.integers(0, 2**31 - 1, dtype="int32"), + limit=limit, + ) + + def _approx_equiprobable(self, N, endpoints=False): + """ + Returns a discrete equiprobable approximation of this distribution. + + TODO: add endpoints option + + Parameters + ---------- + N : int + Number of discrete points to approximate the distribution. + + Returns + ------- + DiscreteDistribution + Discrete approximation of this distribution. + """ + + CDF = np.linspace(0, 1, N + 1) + lims = stats.norm.ppf(CDF) + pdf = stats.norm.pdf(lims) + + # Find conditional means using Mills's ratio + pmv = np.diff(CDF) + atoms = self.mu - np.diff(pdf) / pmv * self.sigma + + limit = {"dist": self, "method": "equiprobable", "N": N, "endpoints": endpoints} + + return DiscreteDistribution( + pmv, + atoms, + seed=self._rng.integers(0, 2**31 - 1, dtype="int32"), + limit=limit, + ) + + +class Lognormal(ContinuousFrozenDistribution): + """ + A Lognormal distribution + + Parameters + ---------- + mu : float or [float] + One or more means of underlying normal distribution. + Number of elements T in mu determines number of rows of output. + sigma : float or [float] + One or more standard deviations of underlying normal distribution. + Number of elements T in sigma determines number of rows of output. + seed : int + Seed for random number generator. + """ + + def __new__( + cls, + mu: Union[float, np.ndarray] = 0.0, + sigma: Union[float, np.ndarray] = 1.0, + seed: Optional[int] = 0, + mean=None, + std=None, + ): + """ + Create a new Lognormal distribution. If sigma is zero, return a + DiscreteDistribution with a single atom at exp(mu). + + Parameters + ---------- + mu : Union[float, np.ndarray], optional + Mean of underlying normal distribution, by default 0.0 + sigma : Union[float, np.ndarray], optional + Standard deviation of underlying normal distribution, by default 1.0 + seed : Optional[int], optional + Seed for random number generator, by default None + mean: optional + For alternative mean/std parameterization, the mean of the lognormal distribution + std: optional + For alternative mean/std parameterization, the standard deviation of the lognormal distribution + + Returns + ------- + Lognormal or DiscreteDistribution + Lognormal distribution or DiscreteDistribution with a single atom. + """ + + if sigma == 0: + # If sigma is zero, return a DiscreteDistribution with a single atom + return DiscreteDistribution([1.0], [np.exp(mu)], seed=seed) + + return super().__new__(cls) + + def __init__( + self, + mu: Union[float, np.ndarray] = 0.0, + sigma: Union[float, np.ndarray] = 1.0, + seed: Optional[int] = 0, + mean=None, + std=None, + ): + if mean is not None and sigma is not None: + mean_squared = mean**2 + variance = std**2 + mu = np.log(mean / (np.sqrt(1.0 + variance / mean_squared))) + sigma = np.sqrt(np.log(1.0 + variance / mean_squared)) + + self.mu = np.asarray(mu) + self.sigma = np.asarray(sigma) + + if self.mu.size != self.sigma.size: + raise AttributeError( + "mu and sigma must be of same size, are %s, %s" + % ((self.mu.size), (self.sigma.size)) + ) + + # Set up the RNG + super().__init__( + stats.lognorm, s=self.sigma, scale=np.exp(self.mu), loc=0, seed=seed + ) + + def _approx_equiprobable( + self, N, endpoints=False, tail_N=0, tail_bound=None, tail_order=np.e + ): + """ + Construct a discrete approximation to a lognormal distribution with underlying + normal distribution N(mu,sigma). Makes an equiprobable distribution by + default, but user can optionally request augmented tails with exponentially + sized point masses. This can improve solution accuracy in some models. + + TODO: add endpoints option + + Parameters + ---------- + N: int + Number of discrete points in the "main part" of the approximation. + tail_N: int + Number of points in each "tail part" of the approximation; 0 = no tail. + tail_bound: [float] + CDF boundaries of the tails vs main portion; tail_bound[0] is the lower + tail bound, tail_bound[1] is the upper tail bound. Inoperative when + tail_N = 0. Can make "one tailed" approximations with 0.0 or 1.0. + tail_order: float + Factor by which consecutive point masses in a "tail part" differ in + probability. Should be >= 1 for sensible spacing. + + Returns + ------- + d : DiscreteDistribution + Probability associated with each point in array of discrete + points for discrete probability mass function. + """ + + tail_bound = tail_bound if tail_bound is not None else [0.02, 0.98] + # Find the CDF boundaries of each segment + if self.sigma > 0.0: + if tail_N > 0: + lo_cut = tail_bound[0] + hi_cut = tail_bound[1] + else: + lo_cut = 0.0 + hi_cut = 1.0 + inner_size = hi_cut - lo_cut + inner_CDF_vals = [ + lo_cut + x * N ** (-1.0) * inner_size for x in range(1, N) + ] + if inner_size < 1.0: + scale = 1.0 / tail_order + mag = (1.0 - scale**tail_N) / (1.0 - scale) + lower_CDF_vals = [0.0] + if lo_cut > 0.0: + for x in range(tail_N - 1, -1, -1): + lower_CDF_vals.append(lower_CDF_vals[-1] + lo_cut * scale**x / mag) + upper_CDF_vals = [hi_cut] + if hi_cut < 1.0: + for x in range(tail_N): + upper_CDF_vals.append( + upper_CDF_vals[-1] + (1.0 - hi_cut) * scale**x / mag + ) + CDF_vals = lower_CDF_vals + inner_CDF_vals + upper_CDF_vals + temp_cutoffs = list( + stats.lognorm.ppf( + CDF_vals[1:-1], s=self.sigma, loc=0, scale=np.exp(self.mu) + ) + ) + cutoffs = [0] + temp_cutoffs + [np.inf] + CDF_vals = np.array(CDF_vals) + + K = CDF_vals.size - 1 # number of points in approximation + pmv = CDF_vals[1 : (K + 1)] - CDF_vals[0:K] + atoms = np.zeros(K) + for i in range(K): + zBot = cutoffs[i] + zTop = cutoffs[i + 1] + # Manual check to avoid the RuntimeWarning generated by "divide by zero" + # with np.log(zBot). + if zBot == 0: + tempBot = np.inf + else: + tempBot = (self.mu + self.sigma**2 - np.log(zBot)) / ( + np.sqrt(2) * self.sigma + ) + tempTop = (self.mu + self.sigma**2 - np.log(zTop)) / ( + np.sqrt(2) * self.sigma + ) + if tempBot <= 4: + atoms[i] = ( + -0.5 + * np.exp(self.mu + (self.sigma**2) * 0.5) + * (math.erf(tempTop) - math.erf(tempBot)) + / pmv[i] + ) + else: + atoms[i] = ( + -0.5 + * np.exp(self.mu + (self.sigma**2) * 0.5) + * (math.erfc(tempBot) - math.erfc(tempTop)) + / pmv[i] + ) + + else: + pmv = np.ones(N) / N + atoms = np.exp(self.mu) * np.ones(N) + + limit = { + "dist": self, + "method": "equiprobable", + "N": N, + "endpoints": endpoints, + "tail_N": tail_N, + "tail_bound": tail_bound, + "tail_order": tail_order, + } + + return DiscreteDistribution( + pmv, + atoms, + seed=self._rng.integers(0, 2**31 - 1, dtype="int32"), + limit=limit, + ) + + def _approx_hermite(self, N, endpoints=False): + """ + Returns a discrete approximation of this distribution + using the Gauss-Hermite quadrature rule. + + TODO: add endpoints option + + Parameters + ---------- + N : int + Number of discrete points to approximate the distribution. + + Returns + ------- + DiscreteDistribution + Discrete approximation of this distribution. + """ + + x, w = np.polynomial.hermite.hermgauss(N) + # normalize w + pmv = w * np.pi**-0.5 + # correct x + atoms = np.exp(np.sqrt(2.0) * self.sigma * x + self.mu) + + limit = {"dist": self, "method": "hermite", "N": N, "endpoints": endpoints} + + return DiscreteDistribution( + pmv, + atoms, + seed=self._rng.integers(0, 2**31 - 1, dtype="int32"), + limit=limit, + ) + + @classmethod + def from_mean_std(cls, mean, std, seed=0): + """ + Construct a LogNormal distribution from its + mean and standard deviation. + + This is unlike the normal constructor for the distribution, + which takes the mu and sigma for the normal distribution + that is the logarithm of the Log Normal distribution. + + Parameters + ---------- + mean : float or [float] + One or more means. Number of elements T in mu determines number + of rows of output. + std : float or [float] + One or more standard deviations. Number of elements T in sigma + determines number of rows of output. + seed : int + Seed for random number generator. + + Returns + --------- + LogNormal + + """ + mean_squared = mean**2 + variance = std**2 + mu = np.log(mean / (np.sqrt(1.0 + variance / mean_squared))) + sigma = np.sqrt(np.log(1.0 + variance / mean_squared)) + + return cls(mu=mu, sigma=sigma, seed=seed) + + +class MeanOneLogNormal(Lognormal): + """ + A Lognormal distribution with mean 1. + """ + + def __init__(self, sigma=1.0, seed=0): + mu = -0.5 * sigma**2 + super().__init__(mu=mu, sigma=sigma, seed=seed) + + +class Uniform(ContinuousFrozenDistribution): + """ + A Uniform distribution. + + Parameters + ---------- + bot : float or [float] + One or more bottom values. + Number of elements T in mu determines number + of rows of output. + top : float or [float] + One or more top values. + Number of elements T in top determines number of + rows of output. + seed : int + Seed for random number generator. + """ + + def __init__(self, bot=0.0, top=1.0, seed=0): + self.bot = np.asarray(bot) + self.top = np.asarray(top) + + super().__init__( + stats.uniform, loc=self.bot, scale=self.top - self.bot, seed=seed + ) + + def _approx_equiprobable(self, N, endpoints=False): + """ + Makes a discrete approximation to this uniform distribution. + + Parameters + ---------- + N : int + The number of points in the discrete approximation. + endpoints : bool + Whether to include the endpoints in the approximation. + + Returns + ------- + d : DiscreteDistribution + Probability associated with each point in array of discrete + points for discrete probability mass function. + """ + pmv = np.ones(N) / float(N) + + center = (self.top + self.bot) / 2.0 + width = (self.top - self.bot) / 2.0 + atoms = center + width * np.linspace(-(N - 1.0) / 2.0, (N - 1.0) / 2.0, N) / ( + N / 2.0 + ) + + if endpoints: # insert endpoints with infinitesimally small mass + atoms = np.concatenate(([self.bot], atoms, [self.top])) + pmv = np.concatenate(([0.0], pmv, [0.0])) + + limit = {"dist": self, "method": "equiprobable", "N": N, "endpoints": endpoints} + + return DiscreteDistribution( + pmv, + atoms, + seed=self._rng.integers(0, 2**31 - 1, dtype="int32"), + limit=limit, + ) + + +class Weibull(ContinuousFrozenDistribution): + """ + A Weibull distribution. + + Parameters + ---------- + scale : float or [float] + One or more scales. Number of elements T in scale + determines number of + rows of output. + shape : float or [float] + One or more shape parameters. Number of elements T in scale + determines number of rows of output. + seed : int + Seed for random number generator. + """ + + def __init__(self, scale=1.0, shape=1.0, seed=0): + self.scale = np.asarray(scale) + self.shape = np.asarray(shape) + # Set up the RNG + super().__init__(stats.weibull_min, c=shape, scale=scale, seed=seed) diff --git a/HARK/distributions/discrete.py b/HARK/distributions/discrete.py new file mode 100644 index 000000000..8d023d28b --- /dev/null +++ b/HARK/distributions/discrete.py @@ -0,0 +1,54 @@ +from typing import Any + +import numpy as np +from scipy import stats +from scipy.stats import rv_discrete +from scipy.stats._distn_infrastructure import rv_discrete_frozen + +from HARK.distributions.base import Distribution + + +class DiscreteFrozenDistribution(rv_discrete_frozen, Distribution): + """ + Parameterized discrete distribution from scipy.stats with seed management. + """ + + def __init__( + self, dist: rv_discrete, *args: Any, seed: int = 0, **kwds: Any + ) -> None: + """ + Parameterized discrete distribution from scipy.stats with seed management. + + Parameters + ---------- + dist : rv_discrete + Discrete distribution from scipy.stats. + seed : int, optional + Seed for random number generator, by default 0 + """ + + rv_discrete_frozen.__init__(self, dist, *args, **kwds) + Distribution.__init__(self, seed=seed) + + +class Bernoulli(DiscreteFrozenDistribution): + """ + A Bernoulli distribution. + + Parameters + ---------- + p : float or [float] + Probability or probabilities of the event occurring (True). + + seed : int + Seed for random number generator. + """ + + def __init__(self, p=0.5, seed=0): + self.p = np.asarray(p) + # Set up the RNG + super().__init__(stats.bernoulli, p=self.p, seed=seed) + + self.pmv = [1 - self.p, self.p] + self.atoms = [0, 1] + self.limit = {"dist": self} diff --git a/HARK/distributions/multivariate.py b/HARK/distributions/multivariate.py new file mode 100644 index 000000000..b4cdd5091 --- /dev/null +++ b/HARK/distributions/multivariate.py @@ -0,0 +1,490 @@ +from itertools import product +from typing import List, Union + +import numpy as np +from numpy import linalg +from scipy import special +from scipy.stats._multivariate import multi_rv_frozen, multivariate_normal_frozen + +from HARK.distributions.base import DiscreteDistribution, Distribution +from HARK.distributions.continuous import Lognormal, Normal + +# MULTIVARIATE DISTRIBUTIONS + + +class MVNormal(multivariate_normal_frozen, Distribution): + """ + A Multivariate Normal distribution. + + Parameters + ---------- + mu : numpy array + Mean vector. + Sigma : 2-d numpy array. Each dimension must have length equal to that of + mu. + Variance-covariance matrix. + seed : int + Seed for random number generator. + """ + + def __init__(self, mu=[1, 1], Sigma=[[1, 0], [0, 1]], seed=0): + self.mu = np.asarray(mu) + self.Sigma = np.asarray(Sigma) + self.M = self.mu.size + multivariate_normal_frozen.__init__(self, mean=self.mu, cov=self.Sigma) + Distribution.__init__(self, seed=seed) + + def discretize(self, N, method="hermite", endpoints=False): + """ + For multivariate normal distributions, the Gauss-Hermite + quadrature rule is used as the default method for discretization. + """ + + return self._approx(N, method=method, endpoints=endpoints) + + def _approx(self, N, method="hermite", endpoints=False): + """ + Returns a discrete approximation of this distribution. + + The discretization will have N**M points, where M is the dimension of + the multivariate normal. + + It uses the fact that: + - Being positive definite, Sigma can be factorized as Sigma = QVQ', + with V diagonal. So, letting A=Q*sqrt(V), Sigma = A*A'. + - If Z is an N-dimensional multivariate standard normal, then + A*Z ~ N(0,A*A' = Sigma). + + The idea therefore is to construct an equiprobable grid for a standard + normal and multiply it by matrix A. + """ + + # Start by computing matrix A. + v, Q = np.linalg.eig(self.Sigma) + sqrtV = np.diag(np.sqrt(v)) + A = np.matmul(Q, sqrtV) + + # Now find a discretization for a univariate standard normal. + + z_approx = Normal().discretize(N, method=method) + + # Now create the multivariate grid and pmv + Z = np.array(list(product(*[z_approx.atoms.flatten()] * self.M))) + pmv = np.prod(np.array(list(product(*[z_approx.pmv] * self.M))), axis=1) + + # Apply mean and standard deviation to the Z grid + atoms = self.mu[None, ...] + np.matmul(Z, A.T) + + limit = { + "dist": self, + "method": method, + "N": N, + "endpoints": endpoints, + } + + # Construct and return discrete distribution + return DiscreteDistribution( + pmv, + atoms.T, + seed=self._rng.integers(0, 2**31 - 1, dtype="int32"), + limit=limit, + ) + + +class MVLogNormal(multi_rv_frozen, Distribution): + """ + A Multivariate Lognormal distribution. + + Parameters + ---------- + mu : Union[list, numpy.ndarray], optional + Means of underlying multivariate normal, default [0.0, 0.0]. + Sigma : Union[list, numpy.ndarray], optional + nxn variance-covariance matrix of underlying multivariate normal, default [[1.0, 0.0], [0.0, 1.0]]. + seed : int, optional + Seed for random number generator, default 0. + """ + + def __init__( + self, + mu: Union[List, np.ndarray] = [0.0, 0.0], + Sigma: Union[List, np.ndarray] = [[1.0, 0.0], [0.0, 1.0]], + seed=None, + ): + self.mu = np.asarray(mu) + self.Sigma = np.asarray(Sigma) + self.M = self.mu.size + + if self.Sigma.shape != (self.M, self.M): + raise AttributeError(f"Sigma must be a {self.M}x{self.M} matrix") + + if np.array_equal(self.Sigma, self.Sigma.T): + res = np.all(np.linalg.eigvals(self.Sigma) >= 0) + if not res: + raise AttributeError("Sigma must be positive semi-definite") + else: + raise AttributeError("Sigma must be positive semi-definite") + + multi_rv_frozen.__init__(self) + Distribution.__init__(self, seed=seed) + + def mean(self): + """ + Mean of the distribution. + + Returns + ------- + np.ndarray + Mean of the distribution. + """ + + return np.exp(self.mu + 0.5 * np.diag(self.Sigma)) + + def _cdf(self, x: Union[list, np.ndarray]): + """ + Cumulative distribution function of the distribution evaluated at x. + + Parameters + ---------- + x : np.ndarray + Point at which to evaluate the CDF. + + Returns + ------- + float + CDF evaluated at x. + """ + + x = np.asarray(x) + + if (x.shape != self.M) & (x.shape[1] != self.M): + raise ValueError(f"x must be and {self.M}-dimensional input") + + return MVNormal(mu=self.mu, Sigma=self.Sigma).cdf(np.log(x)) + + def _pdf(self, x: Union[list, np.ndarray]): + """ + Probability density function of the distribution evaluated at x. + + Parameters + ---------- + x : Union[list, np.ndarray] + Point at which to evaluate the PDF. + + Returns + ------- + float + PDF evaluated at x. + """ + + x = np.asarray(x) + + if (x.shape != (self.M,)) & (x.shape[1] != self.M): + raise ValueError(f"x must be an {self.M}-dimensional input") + + eigenvalues = linalg.eigvals(self.Sigma) + + pseudo_det = np.prod(eigenvalues[eigenvalues > 1e-12]) + + inverse_sigma = linalg.pinv(self.Sigma) + + rank_sigma = linalg.matrix_rank(self.Sigma) + + pd = np.multiply( + (1 / np.prod(x, axis=1)), + (2 * np.pi) ** (-rank_sigma / 2) + * pseudo_det ** (-0.5) + * np.exp(-(1 / 2) * np.multiply(np.log(x) @ inverse_sigma, np.log(x))), + ) + + return pd + + def _marginal(self, x: Union[np.ndarray, float, list], dim: int): + """ + Marginal distribution of one of the variables in the bivariate distribution evaluated at x. + + Parameters + ---------- + x : Union[np.ndarray, float] + Point at which to evaluate the marginal distribution. + dim : int + Which of the random variables to evaluate (1 or 2). + + Returns + ------- + float + Marginal distribution evaluated at x. + """ + + x = np.asarray(x) + + x_dim = Lognormal( + mu=self.mu[dim - 1], sigma=np.sqrt(self.Sigma[dim - 1, dim - 1]) + ) + + return x_dim.pdf(x) + + def _marginal_cdf(self, x: Union[np.ndarray, float, list], dim: int): + """ + Cumulative distribution function of one of the variables from the bivariate distribution evaluated at x. + + Parameters + ---------- + x : Union[np.ndarray, float] + Point at which to evaluate the marginal CDF. + dim : int + Which of the random variables to evaluate (1 or 2). + + Returns + ------- + float + Marginal CDF evaluated at x. + """ + + x = np.asarray(x) + + x_dim = Lognormal( + mu=self.mu[dim - 1], sigma=np.sqrt(self.Sigma[dim - 1, dim - 1]) + ) + + return x_dim.cdf(x) + + def rvs(self, size: int = 1, random_state=None): + """ + Random sample from the distribution. + + Parameters + ---------- + size : int + Number of data points to generate. + random_state : optional + Seed for random number generator. + + Returns + ------- + np.ndarray + Random sample from the distribution. + """ + + Z = MVNormal(mu=self.mu, Sigma=self.Sigma) + + return np.exp(Z.rvs(size, random_state=random_state)) + + def _approx_equiprobable( + self, + N: int, + tail_bound: Union[float, list, tuple] = None, + endpoints: bool = False, + decomp: str = "cholesky", + ): + """ + Makes a discrete approximation using the equiprobable method to this multivariate lognormal distribution. + + Parameters + ---------- + N : int + The number of points in the discrete approximation. + tail_bound : Union[float, list, tuple], optional + The values of the CDF according to which the distribution is truncated. If only a single number is specified, it is the lower tail bound and a symmetric upper bound is chosen. Can make one-tailed approximations with 0.0 or 1.0 as the lower and upper bound respectively. By default the distribution is not truncated. + endpoints : bool + If endpoints is True, then atoms at the corner points of the truncated region are included. By default, endpoints is False, which is when only the interior points are included. + decomp : str in ["cholesky", "sqrt", "eig"], optional + The method of decomposing the covariance matrix. Available options are the Cholesky decomposition, the positive-definite square root, and the eigendecomposition. By default the Cholesky decomposition is used. NOTE: The method of decomposition might affect the expectations of the discretized distribution along each dimension dfferently. + + Returns + ------- + d : DiscreteDistribution + Probability associated with each point in array of discrete + points for discrete probability mass function. + """ + + if endpoints: + tail_N = 1 + else: + tail_N = 0 + + if decomp not in ["cholesky", "sqrt", "eig"]: + raise NotImplementedError( + "Decomposition method must be 'cholesky', 'sqrt' or 'eig'" + ) + + if np.array_equal(self.Sigma, np.diag(np.diag(self.Sigma))): + ind_atoms = np.empty((self.M, N)) + + for i in range(self.M): + if self.Sigma[i, i] == 0.0: + x_atoms = np.repeat(np.exp(self.mu[i]), N) + ind_atoms[i] = x_atoms + else: + x_atoms = ( + Lognormal(mu=self.mu[i], sigma=np.sqrt(self.Sigma[i, i])) + ._approx_equiprobable( + N, tail_N=tail_N, tail_bound=tail_bound, endpoints=endpoints + ) + .atoms + ) + ind_atoms[i] = x_atoms + + atoms_list = [ind_atoms[i] for i in range(self.M)] + atoms = np.stack( + [ar.flatten() for ar in list(np.meshgrid(*atoms_list))], axis=1 + ).T + pmv = np.repeat(1 / (N**self.M), N**self.M) + else: + if tail_bound is not None: + if type(tail_bound) is float: + tail_bound = [tail_bound, 1 - tail_bound] + + if tail_bound[0] < 0 or tail_bound[1] > 1: + raise ValueError("Tail bounds must be between 0 and 1") + + cdf_cuts = np.linspace(tail_bound[0], tail_bound[1], N + 1) + int_prob = tail_bound[1] - tail_bound[0] + + else: + cdf_cuts = np.linspace(0, 1, N + 1) + int_prob = 1.0 + + Z = Normal() + + z_cuts = np.empty(2 * tail_N + N + 1) + if tail_N > 0: + z_cuts[0:tail_N] = Z.ppf(cdf_cuts[0]) + z_cuts[-tail_N:] = Z.ppf(cdf_cuts[-1]) + + z_cuts[tail_N : tail_N + N + 1] = Z.ppf(cdf_cuts) + z_bins = [(z_cuts[i], z_cuts[i + 1]) for i in range(N + 2 * tail_N)] + + atoms = np.empty([self.M, (N + (2 * tail_N)) ** self.M]) + + interiors = np.empty([self.M, (N + 2 * tail_N) ** (self.M)]) + + inners = np.zeros(N + 2 * tail_N) + + if tail_N > 0: + inners[:tail_N] = [(tail_N - i) for i in range(tail_N)] + inners[-tail_N:] = [(i + 1) for i in range(tail_N)] + + def eval(params, z): + inds = [] + excl = [] + + for j in range(len(z)): + if z[j, 0] != z[j, 1]: + inds.append(j) + else: + excl.append(j) + + dim = len(inds) + + p = np.repeat(params[inds], 2).reshape(dim, 2) + + Z = np.multiply(p, z[inds]) + + bounds = ((p**2 - Z) / (np.sqrt(2) * p)).T + + if len(inds) > 0: + x_exp = np.prod( + -0.5 + * np.exp(np.square(params[inds]) / 2) + * (special.erf(bounds[1]) - special.erf(bounds[0])) + ) + else: + x_exp = 1 + + if len(excl) > 0: + x_others = np.prod(np.exp(np.multiply(params[excl], z[excl, 1]))) + else: + x_others = 1 + + return x_exp * x_others * (N / int_prob) ** dim + + if decomp == "cholesky": + L = np.linalg.cholesky(self.Sigma) + + for i in range(self.M): + mui = self.mu[i] + params = L[i, 0 : i + 1] + + Z_list = [z_bins for _ in range(i + 1)] + + Z_bins = [np.array(x) for x in list(product(*Z_list))] + + xi_atoms = [] + + for z_bin in Z_bins: + atom = np.exp(mui) * eval(params, z_bin) + xi_atoms.append(atom) + + xi_atoms_arr = np.repeat( + xi_atoms, (N + 2 * tail_N) ** (self.M - (i + 1)) + ) + + inners_i = [inners for _ in range((N + 2 * tail_N) ** i)] + + interiors[i] = np.repeat( + [*inners_i], (N + 2 * tail_N) ** (self.M - (i + 1)) + ) + + atoms[i] = xi_atoms_arr + else: + Λ, Q = np.linalg.eig(self.Sigma) + + A = Q @ np.diag(np.sqrt(Λ)) + + if decomp == "sqrt": + A = A @ Q.T + + for i in range(self.M): + mui = self.mu[i] + params = A[i] + + Z_list = [z_bins for _ in range(self.M)] + + Z_bins = [np.array(x) for x in list(product(*Z_list))] + + xi_atoms = [] + + for z_bin in Z_bins: + atom = np.exp(mui) * eval(params, z_bin) + xi_atoms.append(atom) + + inners_i = [inners for _ in range((N + 2 * tail_N) ** i)] + + interiors[i] = np.repeat( + [*inners_i], (N + 2 * tail_N) ** (self.M - (i + 1)) + ) + + atoms[i] = xi_atoms + + max_locs = np.argmax(np.abs(interiors), axis=0) + + max_inds = np.stack([max_locs, np.arange(len(max_locs))], axis=1) + + prob_locs = interiors[max_inds[:, 0], max_inds[:, 1]] + + def prob_assign(x): + if x == 0: + return 1 / (N**self.M) + else: + return 0.0 + + prob_vec = np.vectorize(prob_assign) + + pmv = prob_vec(prob_locs) + + limit = { + "dist": self, + "method": "equiprobable", + "N": N, + "endpoints": endpoints, + "tail_bound": tail_bound, + "decomp": decomp, + } + + return DiscreteDistribution( + pmv=pmv, + atoms=atoms, + seed=self._rng.integers(0, 2**31 - 1, dtype="int32"), + limit=limit, + ) diff --git a/HARK/distributions/utils.py b/HARK/distributions/utils.py new file mode 100644 index 000000000..73a605950 --- /dev/null +++ b/HARK/distributions/utils.py @@ -0,0 +1,499 @@ +import math +from warnings import warn + +import numpy as np +from scipy import stats + +from HARK.distributions.base import ( + DiscreteDistribution, + DiscreteDistributionLabeled, + TimeVaryingDiscreteDistribution, +) +from HARK.distributions.continuous import Normal + + +def approx_lognormal_gauss_hermite(N, mu=0.0, sigma=1.0, seed=0): + d = Normal(mu, sigma).discretize(N, method="hermite") + return DiscreteDistribution(d.pmv, np.exp(d.atoms), seed=seed) + + +def calc_normal_style_pars_from_lognormal_pars(avg_lognormal, std_lognormal): + varLognormal = std_lognormal**2 + varNormal = math.log(1 + varLognormal / avg_lognormal**2) + avgNormal = math.log(avg_lognormal) - varNormal * 0.5 + std_normal = math.sqrt(varNormal) + return avgNormal, std_normal + + +def calc_lognormal_style_pars_from_normal_pars(mu_normal, std_normal): + varNormal = std_normal**2 + avg_lognormal = math.exp(mu_normal + varNormal * 0.5) + varLognormal = (math.exp(varNormal) - 1) * avg_lognormal**2 + std_lognormal = math.sqrt(varLognormal) + return avg_lognormal, std_lognormal + + +def approx_beta(N, a=1.0, b=1.0): + """ + Calculate a discrete approximation to the beta distribution. May be quite + slow, as it uses a rudimentary numeric integration method to generate the + discrete approximation. + + Parameters + ---------- + N : int + Size of discrete space vector to be returned. + a : float + First shape parameter (sometimes called alpha). + b : float + Second shape parameter (sometimes called beta). + + Returns + ------- + d : DiscreteDistribution + Probability associated with each point in array of discrete + points for discrete probability mass function. + """ + P = 1000 + vals = np.reshape(stats.beta.ppf(np.linspace(0.0, 1.0, N * P), a, b), (N, P)) + atoms = np.mean(vals, axis=1) + pmv = np.ones(N) / float(N) + return DiscreteDistribution(pmv, atoms) + + +def make_markov_approx_to_normal(x_grid, mu, sigma, K=351, bound=3.5): + """ + Creates an approximation to a normal distribution with mean mu and standard + deviation sigma, returning a stochastic vector called p_vec, corresponding + to values in x_grid. If a RV is distributed x~N(mu,sigma), then the expectation + of a continuous function f() is E[f(x)] = numpy.dot(p_vec,f(x_grid)). + + Parameters + ---------- + x_grid: numpy.array + A sorted 1D array of floats representing discrete values that a normally + distributed RV could take on. + mu: float + Mean of the normal distribution to be approximated. + sigma: float + Standard deviation of the normal distribution to be approximated. + K: int + Number of points in the normal distribution to sample. + bound: float + Truncation bound of the normal distribution, as +/- bound*sigma. + + Returns + ------- + p_vec: numpy.array + A stochastic vector with probability weights for each x in x_grid. + """ + x_n = x_grid.size # Number of points in the outcome grid + lower_bound = -bound # Lower bound of normal draws to consider, in SD + upper_bound = bound # Upper bound of normal draws to consider, in SD + raw_sample = np.linspace( + lower_bound, upper_bound, K + ) # Evenly spaced draws between bounds + f_weights = stats.norm.pdf(raw_sample) # Relative probability of each draw + sample = mu + sigma * raw_sample # Adjusted bounds, given mean and stdev + w_vec = np.zeros(x_n) # A vector of outcome weights + + # Find the relative position of each of the draws + sample_pos = np.searchsorted(x_grid, sample) + sample_pos[sample_pos < 1] = 1 + sample_pos[sample_pos > x_n - 1] = x_n - 1 + + # Make arrays of the x_grid point directly above and below each draw + bot = x_grid[sample_pos - 1] + top = x_grid[sample_pos] + alpha = (sample - bot) / (top - bot) + + # Keep the weights (alpha) in bounds + alpha_clipped = np.clip(alpha, 0.0, 1.0) + + # Loop through each x_grid point and add up the probability that each nearby + # draw contributes to it (accounting for distance) + for j in range(1, x_n): + c = sample_pos == j + w_vec[j - 1] = w_vec[j - 1] + np.dot(f_weights[c], 1.0 - alpha_clipped[c]) + w_vec[j] = w_vec[j] + np.dot(f_weights[c], alpha_clipped[c]) + + # Reweight the probabilities so they sum to 1 + W = np.sum(w_vec) + p_vec = w_vec / W + + # Check for obvious errors, and return p_vec + assert ( + (np.all(p_vec >= 0.0)) + and (np.all(p_vec <= 1.0)) + and (np.isclose(np.sum(p_vec), 1.0)) + ) + return p_vec + + +def make_markov_approx_to_normal_by_monte_carlo(x_grid, mu, sigma, N_draws=10000): + """ + Creates an approximation to a normal distribution with mean mu and standard + deviation sigma, by Monte Carlo. + Returns a stochastic vector called p_vec, corresponding + to values in x_grid. If a RV is distributed x~N(mu,sigma), then the expectation + of a continuous function f() is E[f(x)] = numpy.dot(p_vec,f(x_grid)). + + Parameters + ---------- + x_grid: numpy.array + A sorted 1D array of floats representing discrete values that a normally + distributed RV could take on. + mu: float + Mean of the normal distribution to be approximated. + sigma: float + Standard deviation of the normal distribution to be approximated. + N_draws: int + Number of draws to use in Monte Carlo. + + Returns + ------- + p_vec: numpy.array + A stochastic vector with probability weights for each x in x_grid. + """ + + # Take random draws from the desired normal distribution + random_draws = np.random.normal(loc=mu, scale=sigma, size=N_draws) + + # Compute the distance between the draws and points in x_grid + distance = np.abs(x_grid[:, np.newaxis] - random_draws[np.newaxis, :]) + + # Find the indices of the points in x_grid that are closest to the draws + distance_minimizing_index = np.argmin(distance, axis=0) + + # For each point in x_grid, the approximate probability of that point is the number + # of Monte Carlo draws that are closest to that point + p_vec = np.zeros_like(x_grid) + for p_index, p in enumerate(p_vec): + p_vec[p_index] = np.sum(distance_minimizing_index == p_index) / N_draws + + # Check for obvious errors, and return p_vec + assert ( + (np.all(p_vec >= 0.0)) + and (np.all(p_vec <= 1.0)) + and (np.isclose(np.sum(p_vec)), 1.0) + ) + return p_vec + + +def make_tauchen_ar1(N, sigma=1.0, ar_1=0.9, bound=3.0): + """ + Function to return a discretized version of an AR1 process. + See https://www.fperri.net/TEACHING/macrotheory08/numerical.pdf for details + + Parameters + ---------- + N: int + Size of discretized grid + sigma: float + Standard deviation of the error term + ar_1: float + AR1 coefficient + bound: float + The highest (lowest) grid point will be bound (-bound) multiplied by the unconditional + standard deviation of the process + + Returns + ------- + y: np.array + Grid points on which the discretized process takes values + trans_matrix: np.array + Markov transition array for the discretized process + """ + yN = bound * sigma / ((1 - ar_1**2) ** 0.5) + y = np.linspace(-yN, yN, N) + d = y[1] - y[0] + trans_matrix = np.ones((N, N)) + for j in range(N): + for k_1 in range(N - 2): + k = k_1 + 1 + trans_matrix[j, k] = stats.norm.cdf( + (y[k] + d / 2.0 - ar_1 * y[j]) / sigma + ) - stats.norm.cdf((y[k] - d / 2.0 - ar_1 * y[j]) / sigma) + trans_matrix[j, 0] = stats.norm.cdf((y[0] + d / 2.0 - ar_1 * y[j]) / sigma) + trans_matrix[j, N - 1] = 1.0 - stats.norm.cdf( + (y[N - 1] - d / 2.0 - ar_1 * y[j]) / sigma + ) + + return y, trans_matrix + + +# ================================================================================ +# ==================== Functions for manipulating discrete distributions ========= +# ================================================================================ + + +def add_discrete_outcome_constant_mean(distribution, x, p, sort=False): + """ + Adds a discrete outcome of x with probability p to an existing distribution, + holding constant the relative probabilities of other outcomes and overall mean. + + Parameters + ---------- + distribution : DiscreteDistribution + A one-dimensional DiscreteDistribution. + x : float + The new value to be added to the distribution. + p : float + The probability of the discrete outcome x occuring. + sort: bool + Whether or not to sort atoms before returning it + + Returns + ------- + d : DiscreteDistribution + Probability associated with each point in array of discrete + points for discrete probability mass function. + """ + + if type(distribution) != TimeVaryingDiscreteDistribution: + atoms = np.append(x, distribution.atoms * (1 - p * x) / (1 - p)) + pmv = np.append(p, distribution.pmv * (1 - p)) + + if sort: + indices = np.argsort(atoms) + atoms = atoms[indices] + pmv = pmv[indices] + + return DiscreteDistribution(pmv, atoms) + elif type(distribution) == TimeVaryingDiscreteDistribution: + # apply recursively on all the internal distributions + return TimeVaryingDiscreteDistribution( + [ + add_discrete_outcome_constant_mean(d, x, p) + for d in distribution.distributions + ], + seed=distribution.seed, + ) + + +def add_discrete_outcome(distribution, x, p, sort=False): + """ + Adds a discrete outcome of x with probability p to an existing distribution, + holding constant the relative probabilities of other outcomes. + + Parameters + ---------- + distribution : DiscreteDistribution + One-dimensional distribution to which the outcome is to be added. + x : float + The new value to be added to the distribution. + p : float + The probability of the discrete outcome x occuring. + + Returns + ------- + d : DiscreteDistribution + Probability associated with each point in array of discrete + points for discrete probability mass function. + """ + + atoms = np.append(x, distribution.atoms) + pmv = np.append(p, distribution.pmv * (1 - p)) + + if sort: + indices = np.argsort(atoms) + atoms = atoms[indices] + pmv = pmv[indices] + + return DiscreteDistribution(pmv, atoms) + + +def combine_indep_dstns(*distributions, seed=0): + """ + Given n independent vector-valued discrete distributions, construct their joint discrete distribution. + Can take multivariate discrete distributions as inputs. + + Parameters + ---------- + distributions : DiscreteDistribution + Arbitrary number of discrete distributionss to combine. Their realizations must be + vector-valued (for each D in distributions, it must be the case that len(D.dim())==1). + + Returns + ------- + A DiscreteDistribution representing the joint distribution of the given + random variables. + """ + # Get information on the distributions + dist_lengths = () + dist_dims = () + dist_is_labeled = () + var_labels = () + for dist in distributions: + if len(dist.dim()) > 1: + raise NotImplementedError( + "We currently only support combining vector-valued distributions." + ) + + dist_dims += (dist.dim(),) + dist_lengths += (len(dist.pmv),) + + labeled = isinstance(dist, DiscreteDistributionLabeled) + dist_is_labeled += (labeled,) + if labeled: + var_labels += tuple(dist.dataset.data_vars.keys()) + else: + var_labels += tuple([""] * dist.dim()[0]) + + number_of_distributions = len(distributions) + + all_labeled = all(dist_is_labeled) + labels_are_unique = len(var_labels) == len(set(var_labels)) + + # We need the combinations of indices of realizations in all + # distributions + inds = np.meshgrid( + *[np.array(range(l), dtype=int) for l in dist_lengths], indexing="ij" + ) + inds = [x.flatten() for x in inds] + + atoms_out = [] + P_temp = [] + for i, ind_vec in enumerate(inds): + atoms_out += [distributions[i].atoms[..., ind_vec]] + P_temp += [distributions[i].pmv[ind_vec]] + + atoms_out = np.concatenate(atoms_out, axis=0) + P_temp = np.stack(P_temp, axis=0) + P_out = np.prod(P_temp, axis=0) + + assert np.isclose(np.sum(P_out), 1), "Probabilities do not sum to 1!" + + if all_labeled and labels_are_unique: + combined_dstn = DiscreteDistributionLabeled( + pmv=P_out, + atoms=atoms_out, + var_names=var_labels, + seed=seed, + ) + else: + if all_labeled and not labels_are_unique: + warn( + "There are duplicated labels in the provided distributions. Returning a non-labeled combination" + ) + combined_dstn = DiscreteDistribution(P_out, atoms_out, seed=seed) + + return combined_dstn + + +def calc_expectation(dstn, func=lambda x: x, *args): + """ + Expectation of a function, given an array of configurations of its inputs + along with a DiscreteDistribution object that specifies the probability + of each configuration. + + Parameters + ---------- + dstn : DiscreteDistribution + The distribution over which the function is to be evaluated. + func : function + The function to be evaluated. + This function should take an array of shape dstn.dim() and return + either arrays of arbitrary shape or scalars. + It may also take other arguments \\*args. + \\*args : + Other inputs for func, representing the non-stochastic arguments. + The the expectation is computed at ``f(dstn, *args)``. + + Returns + ------- + f_exp : np.array or scalar + The expectation of the function at the queried values. + Scalar if only one value. + """ + + f_query = [func(dstn.atoms[..., i], *args) for i in range(len(dstn.pmv))] + + f_query = np.stack(f_query, axis=-1) + + # From the numpy.dot documentation: + # If both a and b are 1-D arrays, it is inner product of vectors (without complex conjugation). + # If a is an N-D array and b is a 1-D array, it is a sum product over the last axis of a and b. + # Thus, if func returns scalars, f_exp will be a scalar and if it returns arrays f_exp + # will be an array of the same shape. + f_exp = np.dot(f_query, dstn.pmv) + + return f_exp + + +def distr_of_function(dstn, func=lambda x: x, *args): + """ + Finds the distribution of a random variable Y that is a function + of discrete random variable atoms, Y=f(atoms). + + Parameters + ---------- + dstn : DiscreteDistribution + The distribution over which the function is to be evaluated. + func : function + The function to be evaluated. + This function should take an array of shape dstn.dim(). + It may also take other arguments \\*args. + \\*args : + Additional non-stochastic arguments for func, + The function is computed at ``f(dstn, *args)``. + + Returns + ------- + f_dstn : DiscreteDistribution + The distribution of func(dstn). + """ + # Apply function to every event realization + f_query = [func(dstn.atoms[..., i], *args) for i in range(len(dstn.pmv))] + + # Stack results along their last (new) axis + f_query = np.stack(f_query, axis=-1) + + f_dstn = DiscreteDistribution(dstn.pmv, f_query) + + return f_dstn + + +def expected(func=None, dist=None, args=(), **kwargs): + """ + Expectation of a function, given an array of configurations of its inputs + along with a DiscreteDistribution(atomsRA) object that specifies the probability + of each configuration. + + Parameters + ---------- + func : function + The function to be evaluated. + This function should take the full array of distribution values + and return either arrays of arbitrary shape or scalars. + It may also take other arguments ``*args``. + This function differs from the standalone `calc_expectation` + method in that it uses numpy's vectorization and broadcasting + rules to avoid costly iteration. + Note: If you need to use a function that acts on single outcomes + of the distribution, consier `distribution.calc_expectation`. + dist : DiscreteDistribution or DiscreteDistributionLabeled + The distribution over which the function is to be evaluated. + args : tuple + Other inputs for func, representing the non-stochastic arguments. + The the expectation is computed at ``f(dstn, *args)``. + labels : bool + If True, the function should use labeled indexing instead of integer + indexing using the distribution's underlying rv coordinates. For example, + if `dims = ('rv', 'x')` and `coords = {'rv': ['a', 'b'], }`, then + the function can be `lambda x: x["a"] + x["b"]`. + + Returns + ------- + f_exp : np.array or scalar + The expectation of the function at the queried values. + Scalar if only one value. + """ + + if not isinstance(args, tuple): + args = (args,) + + if isinstance(dist, DiscreteDistributionLabeled): + return dist.expected(func, *args, **kwargs) + elif isinstance(dist, DiscreteDistribution): + return dist.expected(func, *args) diff --git a/HARK/frame.py b/HARK/frame.py index 968df180e..a88a05ca5 100644 --- a/HARK/frame.py +++ b/HARK/frame.py @@ -7,7 +7,7 @@ import numpy as np from HARK import AgentType, Model -from HARK.distribution import Distribution +from HARK.distributions import Distribution class Frame: diff --git a/HARK/model.py b/HARK/model.py index d20e3341a..368ef783e 100644 --- a/HARK/model.py +++ b/HARK/model.py @@ -4,7 +4,7 @@ from dataclasses import dataclass, field, replace from copy import copy, deepcopy -from HARK.distribution import ( +from HARK.distributions import ( Distribution, DiscreteDistributionLabeled, combine_indep_dstns, diff --git a/HARK/models/consumer.py b/HARK/models/consumer.py index 5a990b4e8..bca895260 100644 --- a/HARK/models/consumer.py +++ b/HARK/models/consumer.py @@ -1,4 +1,4 @@ -from HARK.distribution import Bernoulli, Lognormal, MeanOneLogNormal +from HARK.distributions import Bernoulli, Lognormal, MeanOneLogNormal from HARK.model import Control, DBlock, RBlock """ diff --git a/HARK/models/perfect_foresight.py b/HARK/models/perfect_foresight.py index 22b02ad83..8a54bfb2d 100644 --- a/HARK/models/perfect_foresight.py +++ b/HARK/models/perfect_foresight.py @@ -1,4 +1,4 @@ -from HARK.distribution import Bernoulli +from HARK.distributions import Bernoulli from HARK.model import Control, DBlock # This way of distributing parameters across the scope is clunky diff --git a/HARK/models/perfect_foresight_normalized.py b/HARK/models/perfect_foresight_normalized.py index 544a14fbc..2b63dec3c 100644 --- a/HARK/models/perfect_foresight_normalized.py +++ b/HARK/models/perfect_foresight_normalized.py @@ -1,4 +1,4 @@ -from HARK.distribution import Bernoulli +from HARK.distributions import Bernoulli from HARK.model import Control, DBlock # This way of distributing parameters across the scope is clunky diff --git a/HARK/models/test_models.py b/HARK/models/test_models.py index 9cb9152d1..8cc9f8c57 100644 --- a/HARK/models/test_models.py +++ b/HARK/models/test_models.py @@ -1,4 +1,4 @@ -from HARK.distribution import Lognormal +from HARK.distributions import Lognormal import HARK.models.consumer as cons import HARK.models.perfect_foresight as pfm import HARK.models.perfect_foresight_normalized as pfnm diff --git a/HARK/parser.py b/HARK/parser.py index 3f21ff7f9..72f197c20 100644 --- a/HARK/parser.py +++ b/HARK/parser.py @@ -1,4 +1,4 @@ -from HARK.distribution import Bernoulli, Lognormal, MeanOneLogNormal +from HARK.distributions import Bernoulli, Lognormal, MeanOneLogNormal from sympy.utilities.lambdify import lambdify from sympy.parsing.sympy_parser import parse_expr import yaml diff --git a/HARK/simulation/monte_carlo.py b/HARK/simulation/monte_carlo.py index 2aa887710..ad99f0c0e 100644 --- a/HARK/simulation/monte_carlo.py +++ b/HARK/simulation/monte_carlo.py @@ -7,7 +7,7 @@ import numpy as np -from HARK.distribution import ( +from HARK.distributions import ( Distribution, IndexDistribution, TimeVaryingDiscreteDistribution, diff --git a/HARK/simulation/test_monte_carlo.py b/HARK/simulation/test_monte_carlo.py index b431f3494..7f2329703 100644 --- a/HARK/simulation/test_monte_carlo.py +++ b/HARK/simulation/test_monte_carlo.py @@ -4,7 +4,7 @@ import unittest -from HARK.distribution import Bernoulli, IndexDistribution, MeanOneLogNormal +from HARK.distributions import Bernoulli, IndexDistribution, MeanOneLogNormal from HARK.model import Aggregate, Control, DBlock from HARK.simulation.monte_carlo import * diff --git a/HARK/tests/test_approxDstns.py b/HARK/tests/test_approxDstns.py index 2a0ff75f6..800c88551 100644 --- a/HARK/tests/test_approxDstns.py +++ b/HARK/tests/test_approxDstns.py @@ -7,7 +7,7 @@ import numpy as np # Bring in modules we need -import HARK.distribution as distribution +import HARK.distributions as distribution class testsForDCEGM(unittest.TestCase): diff --git a/HARK/tests/test_core.py b/HARK/tests/test_core.py index 102d23deb..d5e904b6b 100644 --- a/HARK/tests/test_core.py +++ b/HARK/tests/test_core.py @@ -12,7 +12,7 @@ init_idiosyncratic_shocks, ) from HARK.core import AgentPopulation, AgentType, Parameters, distribute_params -from HARK.distribution import Uniform +from HARK.distributions import Uniform from HARK.metric import MetricObject, distance_metric diff --git a/HARK/tests/test_distribution.py b/HARK/tests/test_distribution.py index d31d439a0..9619451b0 100644 --- a/HARK/tests/test_distribution.py +++ b/HARK/tests/test_distribution.py @@ -3,7 +3,7 @@ import numpy as np import xarray as xr -from HARK.distribution import ( +from HARK.distributions import ( Bernoulli, DiscreteDistribution, DiscreteDistributionLabeled, @@ -11,8 +11,8 @@ Lognormal, MarkovProcess, MeanOneLogNormal, - MVNormal, MVLogNormal, + MVNormal, Normal, Uniform, Weibull, diff --git a/HARK/tests/test_model.py b/HARK/tests/test_model.py index 0632a6a7f..cc19ad30c 100644 --- a/HARK/tests/test_model.py +++ b/HARK/tests/test_model.py @@ -1,6 +1,6 @@ import unittest -from HARK.distribution import Bernoulli, DiscreteDistribution +from HARK.distributions import Bernoulli, DiscreteDistribution import HARK.model as model from HARK.model import Control import HARK.models.consumer as cons diff --git a/examples/ConsNewKeynesianModel/SSJ_example.ipynb b/examples/ConsNewKeynesianModel/SSJ_example.ipynb index fbdbbc432..afa8877d9 100644 --- a/examples/ConsNewKeynesianModel/SSJ_example.ipynb +++ b/examples/ConsNewKeynesianModel/SSJ_example.ipynb @@ -88,17 +88,18 @@ "outputs": [], "source": [ "# Basic scientific tools\n", + "import time\n", + "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", - "import time\n", + "import sequence_jacobian as sj # SSJ will allow us to define blocks, models, compute IRFs, etc\n", "from scipy import optimize\n", "\n", - "# HARK agents\n", - "from HARK.ConsumptionSaving.ConsNewKeynesianModel import NewKeynesianConsumerType\n", - "\n", "# Sequence space Jacobian toolkit\n", "from sequence_jacobian.classes import JacobianDict, SteadyStateDict\n", - "import sequence_jacobian as sj # SSJ will allow us to define blocks, models, compute IRFs, etc" + "\n", + "# HARK agents\n", + "from HARK.ConsumptionSaving.ConsNewKeynesianModel import NewKeynesianConsumerType" ] }, { @@ -181,7 +182,8 @@ "def calc_SS_assets_from_discfac(beta):\n", " HANK_dict[\"DiscFac\"] = beta # set the proposed discount factor\n", " TempAgent = NewKeynesianConsumerType(\n", - " **HANK_dict, verbose=False\n", + " **HANK_dict,\n", + " verbose=False,\n", " ) # make an AgentType instance\n", " A_ss = TempAgent.compute_steady_state()[0] # compute steady state assets\n", " return A_ss\n", @@ -275,15 +277,17 @@ "\n", "# Derivatives of consumption and assets wrt R\n", "dCdR, dAdR = Agent_GE.calc_jacobian(\n", - " \"Rfree\", 300\n", + " \"Rfree\",\n", + " 300,\n", ") # Jacobians of consumption and assets w.r.t. interest factor changes up to 300 periods ahead\n", "\n", "# Derivatives with respect to after-tax labor income Z\n", "dCdZ, dAdZ = Agent_GE.calc_jacobian(\n", - " \"labor\", 300\n", + " \"labor\",\n", + " 300,\n", ") # Jacobians of consumption and assets w.r.t. labor supply changes up to 300 periods ahead\n", "\n", - "print(\"Time to compute Jacobians: {:.3f} seconds.\".format(time.time() - start))" + "print(f\"Time to compute Jacobians: {time.time() - start:.3f} seconds.\")" ] }, { @@ -327,7 +331,7 @@ " r\"Change in $R$ right now\",\n", " r\"Change in $R$ 30 periods ahead\",\n", " r\"Change in $R$ 50 periods ahead\",\n", - " ]\n", + " ],\n", ")\n", "plt.xlim(-2, 120)\n", "plt.title(\"Consumption Response to Change in Interest Factor\")\n", @@ -368,7 +372,7 @@ " r\"Change in $Z$ right now\",\n", " r\"Change in $Z$ 30 periods ahead\",\n", " r\"Change in $Z$ 50 periods ahead\",\n", - " ]\n", + " ],\n", ")\n", "plt.xlim(-2, 120)\n", "plt.title(\"Consumption Response to Change in Labor Income\")\n", @@ -457,7 +461,7 @@ " \"C\": C_ss, # Consumption\n", " \"Z\": Y_ss - T_ss, # Income (post-tax)\n", " \"T\": T_ss, # Lump Sum Taxes\n", - " }\n", + " },\n", ")" ] }, @@ -507,7 +511,10 @@ "\n", "# Solve for impulse responses to gov. spending shock (balanced budget)\n", "irfs_G_lin = HANK.solve_impulse_linear(\n", - " SteadyState_dict, unknowns_td, targets_td, shocks\n", + " SteadyState_dict,\n", + " unknowns_td,\n", + " targets_td,\n", + " shocks,\n", ")" ] }, @@ -622,7 +629,10 @@ "source": [ "# Solve for impulse responses\n", "irfs_B_lin = HANK.solve_impulse_linear(\n", - " SteadyState_dict, unknowns_td, targets_td, shocks_B\n", + " SteadyState_dict,\n", + " unknowns_td,\n", + " targets_td,\n", + " shocks_B,\n", ")" ] }, @@ -708,7 +718,8 @@ "outputs": [], "source": [ "@sj.solved(\n", - " unknowns={\"C\": 1, \"A\": 1}, targets=[\"euler\", \"budget_constraint\"]\n", + " unknowns={\"C\": 1, \"A\": 1},\n", + " targets=[\"euler\", \"budget_constraint\"],\n", ") # solver=\"broyden_custom\")\n", "def hh_ra(C, A, Z, eis, beta, r):\n", " euler = (beta * (1 + r(+1))) ** (-eis) * C(+1) - C # RA euler equation\n", @@ -740,7 +751,8 @@ "source": [ "# Deep in SSJ weeds, we need this object:\n", "@sj.solved(\n", - " unknowns={\"C_RA\": 1, \"A\": 1}, targets=[\"euler\", \"budget_constraint\"]\n", + " unknowns={\"C_RA\": 1, \"A\": 1},\n", + " targets=[\"euler\", \"budget_constraint\"],\n", ") # , solver=\"broyden_custom\")\n", "\n", "# household_twoagent:\n", @@ -818,7 +830,10 @@ "\n", "# solve for steady state for RANK model\n", "ss_RANK = RANK.solve_steady_state(\n", - " calibration_ra, unknowns_ra_ss, targets_ra_ss, dissolve=[\"hh_ra\"]\n", + " calibration_ra,\n", + " unknowns_ra_ss,\n", + " targets_ra_ss,\n", + " dissolve=[\"hh_ra\"],\n", ") # solve steady state for RANK model" ] }, @@ -844,7 +859,10 @@ "\n", "# solve for steady state for TANK model\n", "ss_TANK = TANK.solve_steady_state(\n", - " calibration_ta, unknowns_ta_ss, targets_ra_ss, dissolve=[\"hh_ta\"]\n", + " calibration_ta,\n", + " unknowns_ta_ss,\n", + " targets_ra_ss,\n", + " dissolve=[\"hh_ta\"],\n", ") # solve steady state for TANK model" ] }, @@ -878,10 +896,16 @@ ], "source": [ "irfs_RANK = RANK.solve_impulse_linear(\n", - " ss_RANK, unknowns_td, targets_td, shocks_B\n", + " ss_RANK,\n", + " unknowns_td,\n", + " targets_td,\n", + " shocks_B,\n", ") # solve for impulse responses in RANK model\n", "irfs_TANK = TANK.solve_impulse_linear(\n", - " ss_TANK, unknowns_td, targets_td, shocks_B\n", + " ss_TANK,\n", + " unknowns_td,\n", + " targets_td,\n", + " shocks_B,\n", ") # solve for impulse responses in TANK model\n", "\n", "# Plot irfs of HANK, RANK, and TANK\n", @@ -938,24 +962,39 @@ "# own_shock captures AR shock process to deficit financed G spending\n", "own_shock = {\"G\": shk_std * rho_G ** np.arange(T), \"B\": dB}\n", "impulses_ha[\"ha\"] = HANK.solve_impulse_linear(\n", - " SteadyState_dict, unknowns_td, targets_td, own_shock\n", + " SteadyState_dict,\n", + " unknowns_td,\n", + " targets_td,\n", + " own_shock,\n", ") # solve impulse responses to HANK\n", "impulses_ta[\"ta\"] = TANK.solve_impulse_linear(\n", - " ss_TANK, unknowns_td, targets_td, own_shock\n", + " ss_TANK,\n", + " unknowns_td,\n", + " targets_td,\n", + " own_shock,\n", ") # solve impulse responses to TANK\n", "impulses_ra[\"ra\"] = RANK.solve_impulse_linear(\n", - " ss_RANK, unknowns_td, targets_td, own_shock\n", + " ss_RANK,\n", + " unknowns_td,\n", + " targets_td,\n", + " own_shock,\n", ") # solve impulse responses to RANK\n", "\n", "T_sim = 80 # simulate for 80 quarters\n", "data_simul_ha = simulate(\n", - " list(impulses_ha.values()), outputs, T_sim\n", + " list(impulses_ha.values()),\n", + " outputs,\n", + " T_sim,\n", ") # Simulate aggregate variables in 'outputs' in HANK\n", "data_simul_ta = simulate(\n", - " list(impulses_ta.values()), outputs, T_sim\n", + " list(impulses_ta.values()),\n", + " outputs,\n", + " T_sim,\n", ") # Simulate aggregate variables in 'outputs' in TANK\n", "data_simul_ra = simulate(\n", - " list(impulses_ra.values()), outputs, T_sim\n", + " list(impulses_ra.values()),\n", + " outputs,\n", + " T_sim,\n", ") # Simulate aggregate variables in 'outputs' in RANK" ] }, diff --git a/examples/ConsumptionSaving/example_ConsAggShockModel.ipynb b/examples/ConsumptionSaving/example_ConsAggShockModel.ipynb index 61ca9abc0..cf318b973 100644 --- a/examples/ConsumptionSaving/example_ConsAggShockModel.ipynb +++ b/examples/ConsumptionSaving/example_ConsAggShockModel.ipynb @@ -34,7 +34,7 @@ " CobbDouglasEconomy,\n", " CobbDouglasMarkovEconomy,\n", ")\n", - "from HARK.distribution import DiscreteDistribution\n", + "from HARK.distributions import DiscreteDistribution\n", "from HARK.utilities import plot_funcs\n", "\n", "\n", diff --git a/examples/ConsumptionSaving/example_ConsMarkovModel.ipynb b/examples/ConsumptionSaving/example_ConsMarkovModel.ipynb index 0f593d80d..f388077cc 100644 --- a/examples/ConsumptionSaving/example_ConsMarkovModel.ipynb +++ b/examples/ConsumptionSaving/example_ConsMarkovModel.ipynb @@ -22,7 +22,7 @@ " MarkovConsumerType,\n", " init_indshk_markov,\n", ")\n", - "from HARK.distribution import DiscreteDistributionLabeled\n", + "from HARK.distributions import DiscreteDistributionLabeled\n", "from HARK.utilities import plot_funcs\n", "\n", "mystr = lambda number: f\"{number:.4f}\"\n", diff --git a/examples/ConsumptionSaving/example_TractableBufferStockModel.ipynb b/examples/ConsumptionSaving/example_TractableBufferStockModel.ipynb index ccf207721..7e446ebea 100644 --- a/examples/ConsumptionSaving/example_TractableBufferStockModel.ipynb +++ b/examples/ConsumptionSaving/example_TractableBufferStockModel.ipynb @@ -29,7 +29,7 @@ " MarkovConsumerType,\n", ")\n", "from HARK.ConsumptionSaving.TractableBufferStockModel import TractableConsumerType\n", - "from HARK.distribution import DiscreteDistributionLabeled\n", + "from HARK.distributions import DiscreteDistributionLabeled\n", "from HARK.utilities import plot_funcs # basic plotting tools\n", "\n", "do_simulation = True" diff --git a/examples/Distributions/DiscreteDistributionLabeled.ipynb b/examples/Distributions/DiscreteDistributionLabeled.ipynb index 8f15d6739..cf3a81128 100644 --- a/examples/Distributions/DiscreteDistributionLabeled.ipynb +++ b/examples/Distributions/DiscreteDistributionLabeled.ipynb @@ -29,7 +29,7 @@ "source": [ "import numpy as np\n", "\n", - "from HARK.distribution import (\n", + "from HARK.distributions import (\n", " DiscreteDistributionLabeled,\n", " MeanOneLogNormal,\n", " calc_expectation,\n", @@ -652,7 +652,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We can also use `HARK.distribution.expected`.\n" + "We can also use `HARK.distributions.expected`.\n" ] }, { @@ -668,7 +668,7 @@ }, "outputs": [], "source": [ - "from HARK.distribution import expected" + "from HARK.distributions import expected" ] }, { diff --git a/examples/Distributions/EquiprobableLognormal.ipynb b/examples/Distributions/EquiprobableLognormal.ipynb index 8cf8e9b12..5edb46f0b 100644 --- a/examples/Distributions/EquiprobableLognormal.ipynb +++ b/examples/Distributions/EquiprobableLognormal.ipynb @@ -105,11 +105,12 @@ "metadata": {}, "outputs": [], "source": [ - "import HARK\n", - "import numpy as np\n", "import matplotlib.pyplot as plt\n", + "import numpy as np\n", "from matplotlib import cm\n", - "from scipy import integrate" + "from scipy import integrate\n", + "\n", + "import HARK" ] }, { @@ -128,7 +129,7 @@ "Σ = np.array([[3.0, 1.0, 2.0], [1.0, 2.0, 1.0], [2.0, 1.0, 4.0]])\n", "μ = -np.diag(Σ) / 2 # Create mean-one lognormal\n", "\n", - "X = HARK.distribution.MVLogNormal(mu=μ, Sigma=Σ)" + "X = HARK.distributions.MVLogNormal(mu=μ, Sigma=Σ)" ] }, { @@ -412,7 +413,7 @@ "Σ = np.array([[3.0, 1.0], [1.0, 2.0]])\n", "μ = -np.diag(Σ) / 2 # Create mean-one lognormal\n", "\n", - "X = HARK.distribution.MVLogNormal(mu=μ, Sigma=Σ)" + "X = HARK.distributions.MVLogNormal(mu=μ, Sigma=Σ)" ] }, { @@ -481,7 +482,7 @@ " [\n", " [np.sum(X_approx.pmv.reshape(N, N)[0:j, 0:i]) for i in range(1, N + 1)]\n", " for j in range(1, N + 1)\n", - " ]\n", + " ],\n", ")\n", "\n", "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", @@ -654,7 +655,7 @@ " [\n", " [np.sum(X_approx3.pmv.reshape(12, 12)[0:j, 0:i]) for i in range(1, N + 3)]\n", " for j in range(1, N + 3)\n", - " ]\n", + " ],\n", ")\n", "\n", "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", diff --git a/examples/Distributions/ExpectedValue.ipynb b/examples/Distributions/ExpectedValue.ipynb index 844d9a92b..d5fabafa1 100644 --- a/examples/Distributions/ExpectedValue.ipynb +++ b/examples/Distributions/ExpectedValue.ipynb @@ -32,7 +32,7 @@ "\n", "import numpy as np\n", "\n", - "from HARK.distribution import (\n", + "from HARK.distributions import (\n", " MeanOneLogNormal,\n", " Normal,\n", " calc_expectation,\n", @@ -112,7 +112,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The second is to use `HARK.distribution.calc_expectation()`. Comparing the timings, the first method is significantly faster.\n" + "The second is to use `HARK.distributions.calc_expectation()`. Comparing the timings, the first method is significantly faster.\n" ] }, { @@ -188,7 +188,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Using `HARK.distribution.calc_expectation()`, we first provide the distribution and then the function.\n" + "Using `HARK.distributions.calc_expectation()`, we first provide the distribution and then the function.\n" ] }, { @@ -498,7 +498,7 @@ }, "outputs": [], "source": [ - "from HARK.distribution import expected" + "from HARK.distributions import expected" ] }, { diff --git a/examples/FrameAgentType/FrameModels.ipynb b/examples/FrameAgentType/FrameModels.ipynb index cb17f224e..966b15e04 100644 --- a/examples/FrameAgentType/FrameModels.ipynb +++ b/examples/FrameAgentType/FrameModels.ipynb @@ -14,7 +14,7 @@ }, "outputs": [], "source": [ - "from HARK.distribution import (\n", + "from HARK.distributions import (\n", " IndexDistribution,\n", " Lognormal,\n", " MeanOneLogNormal, # Random draws for simulating agents\n", diff --git a/examples/MonteCarlo/Generic Monte Carlo Perfect Foresight.ipynb b/examples/MonteCarlo/Generic Monte Carlo Perfect Foresight.ipynb index 1ba3abc7a..efd583bac 100644 --- a/examples/MonteCarlo/Generic Monte Carlo Perfect Foresight.ipynb +++ b/examples/MonteCarlo/Generic Monte Carlo Perfect Foresight.ipynb @@ -801,7 +801,7 @@ "outputs": [], "source": [ "import HARK.models.perfect_foresight_normalized as pfn\n", - "from HARK.distribution import Lognormal\n", + "from HARK.distributions import Lognormal\n", "from HARK.simulation.monte_carlo import AgentTypeMonteCarloSimulator" ] }, @@ -821,7 +821,7 @@ { "data": { "text/plain": [ - "DBlock(name='', description='', shocks={'live': }, dynamics={'p': at 0x7f39a5da56c0>, 'r_eff': at 0x7f39a2a97740>, 'b_nrm': at 0x7f39a2a977e0>, 'm_nrm': at 0x7f39a2a97880>, 'c_nrm': , 'a_nrm': at 0x7f39a2a97920>}, reward={'u': at 0x7f39a2a979c0>})" + "DBlock(name='', description='', shocks={'live': }, dynamics={'p': at 0x7f39a5da56c0>, 'r_eff': at 0x7f39a2a97740>, 'b_nrm': at 0x7f39a2a977e0>, 'm_nrm': at 0x7f39a2a97880>, 'c_nrm': , 'a_nrm': at 0x7f39a2a97920>}, reward={'u': at 0x7f39a2a979c0>})" ] }, "execution_count": 12, From 37705ca5ab3ad6f419a59668294fdb27f09f7e92 Mon Sep 17 00:00:00 2001 From: Alan Lujan Date: Thu, 7 Nov 2024 14:42:37 -0500 Subject: [PATCH 2/9] update distributions --- HARK/Calibration/Assets/AssetProcesses.py | 2 +- HARK/Calibration/Income/IncomeProcesses.py | 2 +- HARK/ConsumptionSaving/ConsAggShockModel.py | 2 +- HARK/ConsumptionSaving/ConsBequestModel.py | 16 +- .../ConsGenIncProcessModel.py | 2 +- HARK/ConsumptionSaving/ConsIndShockModel.py | 4 +- HARK/ConsumptionSaving/ConsLabeledModel.py | 2 +- HARK/ConsumptionSaving/ConsMarkovModel.py | 2 +- HARK/ConsumptionSaving/ConsMedModel.py | 2 +- .../ConsPortfolioFrameModel.py | 2 +- HARK/ConsumptionSaving/ConsPortfolioModel.py | 2 +- HARK/ConsumptionSaving/ConsPrefShockModel.py | 2 +- HARK/ConsumptionSaving/ConsRepAgentModel.py | 2 +- HARK/ConsumptionSaving/ConsRiskyAssetModel.py | 2 +- .../ConsRiskyContribModel.py | 2 +- .../ConsWealthPortfolioModel.py | 159 +----- HARK/ConsumptionSaving/LegacyOOsolvers.py | 2 +- .../TractableBufferStockModel.py | 2 +- .../tests/test_ConsAggShockModel.py | 2 +- .../tests/test_ConsMarkovModel.py | 2 +- .../tests/test_SmallOpenEconomy.py | 2 +- .../tests/test_modelcomparisons.py | 2 +- HARK/core.py | 2 +- HARK/distribution.py | 47 +- HARK/distributions/base.py | 516 +----------------- HARK/distributions/continuous.py | 7 +- HARK/distributions/discrete.py | 512 +++++++++++++++++ HARK/distributions/utils.py | 2 +- HARK/frame.py | 2 +- HARK/model.py | 2 +- HARK/models/consumer.py | 2 +- HARK/models/perfect_foresight.py | 2 +- HARK/models/perfect_foresight_normalized.py | 2 +- HARK/models/test_models.py | 2 +- HARK/parser.py | 2 +- HARK/simulation/monte_carlo.py | 2 +- HARK/simulation/test_monte_carlo.py | 2 +- HARK/tests/test_approxDstns.py | 2 +- HARK/tests/test_core.py | 2 +- HARK/tests/test_distribution.py | 4 +- HARK/tests/test_model.py | 2 +- binder/postBuild | 10 + binder/postBuild.bat | 3 + binder/requirements.txt | 8 +- .../KS-HARK-presentation.ipynb | 318 +++++------ .../ConsNewKeynesianModel/SSJ_example.ipynb | 91 +-- .../example_ConsAggShockModel.ipynb | 2 +- .../example_ConsMarkovModel.ipynb | 2 +- .../example_TractableBufferStockModel.ipynb | 2 +- .../DiscreteDistributionLabeled.ipynb | 6 +- .../Distributions/EquiprobableLognormal.ipynb | 15 +- examples/Distributions/ExpectedValue.ipynb | 8 +- examples/FrameAgentType/FrameModels.ipynb | 2 +- examples/Journeys/Journey-Policymaker.ipynb | 2 +- ...eneric Monte Carlo Perfect Foresight.ipynb | 4 +- 55 files changed, 791 insertions(+), 1013 deletions(-) create mode 100755 binder/postBuild create mode 100644 binder/postBuild.bat diff --git a/HARK/Calibration/Assets/AssetProcesses.py b/HARK/Calibration/Assets/AssetProcesses.py index 8add4a4a3..b716ae678 100644 --- a/HARK/Calibration/Assets/AssetProcesses.py +++ b/HARK/Calibration/Assets/AssetProcesses.py @@ -5,7 +5,7 @@ import numpy as np from scipy.optimize import minimize_scalar -from HARK.distributions import ( +from HARK.distribution import ( combine_indep_dstns, DiscreteDistributionLabeled, IndexDistribution, diff --git a/HARK/Calibration/Income/IncomeProcesses.py b/HARK/Calibration/Income/IncomeProcesses.py index 5bfa22c9b..52c15c4c6 100644 --- a/HARK/Calibration/Income/IncomeProcesses.py +++ b/HARK/Calibration/Income/IncomeProcesses.py @@ -4,7 +4,7 @@ import numpy as np from HARK.metric import MetricObject -from HARK.distributions import ( +from HARK.distribution import ( add_discrete_outcome_constant_mean, combine_indep_dstns, DiscreteDistribution, diff --git a/HARK/ConsumptionSaving/ConsAggShockModel.py b/HARK/ConsumptionSaving/ConsAggShockModel.py index b2ba9ae3c..d32620c8d 100644 --- a/HARK/ConsumptionSaving/ConsAggShockModel.py +++ b/HARK/ConsumptionSaving/ConsAggShockModel.py @@ -22,7 +22,7 @@ init_idiosyncratic_shocks, ) from HARK.ConsumptionSaving.ConsMarkovModel import MarkovConsumerType -from HARK.distributions import ( +from HARK.distribution import ( MarkovProcess, MeanOneLogNormal, Uniform, diff --git a/HARK/ConsumptionSaving/ConsBequestModel.py b/HARK/ConsumptionSaving/ConsBequestModel.py index 1bf976216..4a265341a 100644 --- a/HARK/ConsumptionSaving/ConsBequestModel.py +++ b/HARK/ConsumptionSaving/ConsBequestModel.py @@ -36,7 +36,7 @@ make_portfolio_solution_terminal, ) from HARK.ConsumptionSaving.ConsRiskyAssetModel import make_simple_ShareGrid -from HARK.distributions import expected +from HARK.distribution import expected from HARK.interpolation import ( BilinearInterp, ConstantFunction, @@ -273,8 +273,12 @@ def make_warmglow_portfolio_solution_terminal( class BequestWarmGlowConsumerType(IndShockConsumerType): r""" - A consumer type with based on IndShockConsumerType, with an additional bequest motive. - They gain utility for any wealth they leave when they die, according to a Stone-Geary utility. + A consumer type with idiosyncratic shocks to permanent and transitory income. + Their problem is defined by a sequence of income distributions, survival probabilities + (:math:`1-\mathsf{D}`), and permanent income growth rates (:math:`\Gamma`), as well + as time invariant values for risk aversion (:math:`\rho`), discount factor (:math:`\beta`), + the interest rate (:math:`\mathsf{R}`), the grid of end-of-period assets, and an artificial + borrowing constraint (:math:`\underline{a}`). .. math:: \newcommand{\CRRA}{\rho} @@ -291,7 +295,7 @@ class BequestWarmGlowConsumerType(IndShockConsumerType): (\psi_{t+1},\theta_{t+1}) &\sim F_{t+1}, \\ \mathbb{E}[\psi]=\mathbb{E}[\theta] &= 1, \\ u(c) &= \frac{c^{1-\CRRA}}{1-\CRRA} \\ - u_{Beq} (a) &= \textbf{BeqFac} \frac{(a+\textbf{BeqShift})^{1-\CRRA_{Beq}}}{1-\CRRA_{Beq}} \\ + u_{Beq} (a) = \textbf{BeqFac} \frac{(a+\textbf{BeqShift})^{1-\CRRA_{Beq}}}{1-\CRRA_{Beq}} \end{align*} @@ -1273,7 +1277,7 @@ def calc_EndOfPrd_v(S, a, z): class BequestWarmGlowPortfolioType(PortfolioConsumerType): r""" - A consumer type with based on PortfolioConsumerType, with an additional bequest motive. + A consumer type with based on IndShockConsumerType, with an additional bequest motive. They gain utility for any wealth they leave when they die, according to a Stone-Geary utility. .. math:: @@ -1296,7 +1300,7 @@ class BequestWarmGlowPortfolioType(PortfolioConsumerType): (\psi_{t+1},\theta_{t+1},\phi_{t+1},p_t) &\sim F_{t+1}, \\ \mathbb{E}[\psi]=\mathbb{E}[\theta] &= 1. \\ u(c) &= \frac{c^{1-\CRRA}}{1-\CRRA} \\ - u_{Beq} (a) &= \textbf{BeqFac} \frac{(a+\textbf{BeqShift})^{1-\CRRA_{Beq}}}{1-\CRRA_{Beq}} \\ + u_{Beq} (a) = \textbf{BeqFac} \frac{(a+\textbf{BeqShift})^{1-\CRRA_{Beq}}}{1-\CRRA_{Beq}} \end{align*} diff --git a/HARK/ConsumptionSaving/ConsGenIncProcessModel.py b/HARK/ConsumptionSaving/ConsGenIncProcessModel.py index 5f81d8e90..0f7dd1b6d 100644 --- a/HARK/ConsumptionSaving/ConsGenIncProcessModel.py +++ b/HARK/ConsumptionSaving/ConsGenIncProcessModel.py @@ -23,7 +23,7 @@ ConsumerSolution, IndShockConsumerType, ) -from HARK.distributions import Lognormal, expected +from HARK.distribution import Lognormal, expected from HARK.interpolation import ( BilinearInterp, ConstantFunction, diff --git a/HARK/ConsumptionSaving/ConsIndShockModel.py b/HARK/ConsumptionSaving/ConsIndShockModel.py index e5aa6a893..f3146c4c1 100644 --- a/HARK/ConsumptionSaving/ConsIndShockModel.py +++ b/HARK/ConsumptionSaving/ConsIndShockModel.py @@ -30,7 +30,7 @@ from HARK.Calibration.SCF.WealthIncomeDist.SCFDistTools import ( income_wealth_dists_from_scf, ) -from HARK.distributions import ( +from HARK.distribution import ( Lognormal, MeanOneLogNormal, Uniform, @@ -2798,7 +2798,7 @@ class KinkedRconsumerType(IndShockConsumerType): \end{cases}\\ \Rfree_{boro} &> \Rfree_{save}, \\ (\psi_{t+1},\theta_{t+1}) &\sim F_{t+1}, \\ - \mathbb{E}[\psi]=\mathbb{E}[\theta] &= 1.\\ + \mathbb{E}[\psi]=\mathbb{E}[\theta] &= 1. u(c) &= \frac{c^{1-\CRRA}}{1-\CRRA} \\ \end{align*} diff --git a/HARK/ConsumptionSaving/ConsLabeledModel.py b/HARK/ConsumptionSaving/ConsLabeledModel.py index 1d17c3efd..50d015f9a 100644 --- a/HARK/ConsumptionSaving/ConsLabeledModel.py +++ b/HARK/ConsumptionSaving/ConsLabeledModel.py @@ -22,7 +22,7 @@ ) from HARK.ConsumptionSaving.LegacyOOsolvers import ConsIndShockSetup from HARK.core import make_one_period_oo_solver -from HARK.distributions import DiscreteDistributionLabeled +from HARK.distribution import DiscreteDistributionLabeled from HARK.metric import MetricObject from HARK.rewards import UtilityFuncCRRA diff --git a/HARK/ConsumptionSaving/ConsMarkovModel.py b/HARK/ConsumptionSaving/ConsMarkovModel.py index 30edbf41a..1367a378d 100644 --- a/HARK/ConsumptionSaving/ConsMarkovModel.py +++ b/HARK/ConsumptionSaving/ConsMarkovModel.py @@ -19,7 +19,7 @@ PerfForesightConsumerType, make_basic_CRRA_solution_terminal, ) -from HARK.distributions import MarkovProcess, Uniform, expected +from HARK.distribution import MarkovProcess, Uniform, expected from HARK.interpolation import ( CubicInterp, LinearInterp, diff --git a/HARK/ConsumptionSaving/ConsMedModel.py b/HARK/ConsumptionSaving/ConsMedModel.py index 2c18f14d5..d3991cf78 100644 --- a/HARK/ConsumptionSaving/ConsMedModel.py +++ b/HARK/ConsumptionSaving/ConsMedModel.py @@ -21,7 +21,7 @@ VariableLowerBoundFunc2D, ) from HARK.ConsumptionSaving.ConsIndShockModel import ConsumerSolution -from HARK.distributions import Lognormal, add_discrete_outcome_constant_mean, expected +from HARK.distribution import Lognormal, add_discrete_outcome_constant_mean, expected from HARK.interpolation import ( BilinearInterp, BilinearInterpOnInterp1D, diff --git a/HARK/ConsumptionSaving/ConsPortfolioFrameModel.py b/HARK/ConsumptionSaving/ConsPortfolioFrameModel.py index cc4bbcc21..7fa32d95e 100644 --- a/HARK/ConsumptionSaving/ConsPortfolioFrameModel.py +++ b/HARK/ConsumptionSaving/ConsPortfolioFrameModel.py @@ -13,7 +13,7 @@ PortfolioConsumerType, init_portfolio, ) -from HARK.distributions import ( +from HARK.distribution import ( Bernoulli, IndexDistribution, Lognormal, diff --git a/HARK/ConsumptionSaving/ConsPortfolioModel.py b/HARK/ConsumptionSaving/ConsPortfolioModel.py index 0627c247c..d85878dc6 100644 --- a/HARK/ConsumptionSaving/ConsPortfolioModel.py +++ b/HARK/ConsumptionSaving/ConsPortfolioModel.py @@ -26,7 +26,7 @@ RiskyAssetConsumerType, make_simple_ShareGrid, ) -from HARK.distributions import expected +from HARK.distribution import expected from HARK.interpolation import ( BilinearInterp, ConstantFunction, diff --git a/HARK/ConsumptionSaving/ConsPrefShockModel.py b/HARK/ConsumptionSaving/ConsPrefShockModel.py index d620b26da..a935686f9 100644 --- a/HARK/ConsumptionSaving/ConsPrefShockModel.py +++ b/HARK/ConsumptionSaving/ConsPrefShockModel.py @@ -22,7 +22,7 @@ get_PermShkDstn_from_IncShkDstn, get_TranShkDstn_from_IncShkDstn, ) -from HARK.distributions import MeanOneLogNormal, expected +from HARK.distribution import MeanOneLogNormal, expected from HARK.interpolation import ( CubicInterp, LinearInterp, diff --git a/HARK/ConsumptionSaving/ConsRepAgentModel.py b/HARK/ConsumptionSaving/ConsRepAgentModel.py index e67b18ce6..217faa4f6 100644 --- a/HARK/ConsumptionSaving/ConsRepAgentModel.py +++ b/HARK/ConsumptionSaving/ConsRepAgentModel.py @@ -17,7 +17,7 @@ make_basic_CRRA_solution_terminal, ) from HARK.ConsumptionSaving.ConsMarkovModel import MarkovConsumerType -from HARK.distributions import MarkovProcess +from HARK.distribution import MarkovProcess from HARK.interpolation import LinearInterp, MargValueFuncCRRA from HARK.utilities import make_assets_grid diff --git a/HARK/ConsumptionSaving/ConsRiskyAssetModel.py b/HARK/ConsumptionSaving/ConsRiskyAssetModel.py index 2cffebb8e..1d077a057 100644 --- a/HARK/ConsumptionSaving/ConsRiskyAssetModel.py +++ b/HARK/ConsumptionSaving/ConsRiskyAssetModel.py @@ -22,7 +22,7 @@ get_PermShkDstn_from_IncShkDstn, get_TranShkDstn_from_IncShkDstn, ) -from HARK.distributions import ( +from HARK.distribution import ( Bernoulli, expected, IndexDistribution, diff --git a/HARK/ConsumptionSaving/ConsRiskyContribModel.py b/HARK/ConsumptionSaving/ConsRiskyContribModel.py index 57154cb13..be4507e3e 100644 --- a/HARK/ConsumptionSaving/ConsRiskyContribModel.py +++ b/HARK/ConsumptionSaving/ConsRiskyContribModel.py @@ -45,7 +45,7 @@ init_risky_asset, IndShockRiskyAssetConsumerType_constructor_default, ) -from HARK.distributions import calc_expectation +from HARK.distribution import calc_expectation from HARK.interpolation import BilinearInterp # 2D interpolator from HARK.interpolation import ( ConstantFunction, # Interpolator-like class that returns constant value diff --git a/HARK/ConsumptionSaving/ConsWealthPortfolioModel.py b/HARK/ConsumptionSaving/ConsWealthPortfolioModel.py index c87648b43..a42686c5d 100644 --- a/HARK/ConsumptionSaving/ConsWealthPortfolioModel.py +++ b/HARK/ConsumptionSaving/ConsWealthPortfolioModel.py @@ -3,10 +3,10 @@ import numpy as np from HARK.ConsumptionSaving.ConsPortfolioModel import ( PortfolioConsumerType, + init_portfolio, PortfolioSolution, - make_portfolio_solution_terminal, ) -from HARK.distributions import expected +from HARK.distribution import expected from HARK.interpolation import ( BilinearInterp, CubicInterp, @@ -14,22 +14,11 @@ MargValueFuncCRRA, ValueFuncCRRA, ) -from HARK.Calibration.Assets.AssetProcesses import ( - make_lognormal_RiskyDstn, - combine_IncShkDstn_and_RiskyDstn, - calc_ShareLimit_for_CRRA, -) -from HARK.Calibration.Income.IncomeProcesses import ( - construct_lognormal_income_process_unemployment, - get_PermShkDstn_from_IncShkDstn, - get_TranShkDstn_from_IncShkDstn, -) -from HARK.ConsumptionSaving.ConsRiskyAssetModel import ( - make_simple_ShareGrid, -) from HARK.rewards import UtilityFuncCRRA -from HARK.utilities import NullFunc, make_assets_grid +from HARK.utilities import NullFunc + +import numpy as np from HARK.interpolation import LinearInterp @@ -111,129 +100,6 @@ def __call__(self, omega): return np.nan_to_num(chi) -# Trivial constructor function -def make_ChiFromOmega_function(CRRA, WealthShare, ChiFromOmega_N, ChiFromOmega_bound): - return ChiFromOmegaFunction( - CRRA, WealthShare, N=ChiFromOmega_N, z_bound=ChiFromOmega_bound - ) - - -############################################################################### - -# Make a dictionary of constructors for the wealth-in-utility portfolio choice consumer type -WealthPortfolioConsumerType_constructors_default = { - "IncShkDstn": construct_lognormal_income_process_unemployment, - "PermShkDstn": get_PermShkDstn_from_IncShkDstn, - "TranShkDstn": get_TranShkDstn_from_IncShkDstn, - "aXtraGrid": make_assets_grid, - "RiskyDstn": make_lognormal_RiskyDstn, - "ShockDstn": combine_IncShkDstn_and_RiskyDstn, - "ShareLimit": calc_ShareLimit_for_CRRA, - "ShareGrid": make_simple_ShareGrid, - "ChiFunc": make_ChiFromOmega_function, - "solution_terminal": make_portfolio_solution_terminal, -} - -# Default parameters to make IncShkDstn using construct_lognormal_income_process_unemployment -WealthPortfolioConsumerType_IncShkDstn_default = { - "PermShkStd": [0.1], # Standard deviation of log permanent income shocks - "PermShkCount": 7, # Number of points in discrete approximation to permanent income shocks - "TranShkStd": [0.1], # Standard deviation of log transitory income shocks - "TranShkCount": 7, # Number of points in discrete approximation to transitory income shocks - "UnempPrb": 0.05, # Probability of unemployment while working - "IncUnemp": 0.3, # Unemployment benefits replacement rate while working - "T_retire": 0, # Period of retirement (0 --> no retirement) - "UnempPrbRet": 0.005, # Probability of "unemployment" while retired - "IncUnempRet": 0.0, # "Unemployment" benefits when retired -} - -# Default parameters to make aXtraGrid using make_assets_grid -WealthPortfolioConsumerType_aXtraGrid_default = { - "aXtraMin": 0.001, # Minimum end-of-period "assets above minimum" value - "aXtraMax": 100, # Maximum end-of-period "assets above minimum" value - "aXtraNestFac": 1, # Exponential nesting factor for aXtraGrid - "aXtraCount": 200, # Number of points in the grid of "assets above minimum" - "aXtraExtra": None, # Additional other values to add in grid (optional) -} - -# Default parameters to make RiskyDstn with make_lognormal_RiskyDstn (and uniform ShareGrid) -WealthPortfolioConsumerType_RiskyDstn_default = { - "RiskyAvg": 1.08, # Mean return factor of risky asset - "RiskyStd": 0.18362634887, # Stdev of log returns on risky asset - "RiskyCount": 5, # Number of integration nodes to use in approximation of risky returns -} - -WealthPortfolioConsumerType_ShareGrid_default = { - "ShareCount": 25 # Number of discrete points in the risky share approximation -} - -# Default parameters to make ChiFunc with make_ChiFromOmega_function -WealthPortfolioConsumerType_ChiFunc_default = { - "ChiFromOmega_N": 501, # Number of gridpoints in chi-from-omega function - "ChiFromOmega_bound": 15, # Highest gridpoint to use for it -} - -# Make a dictionary to specify a risky asset consumer type -WealthPortfolioConsumerType_solving_default = { - # BASIC HARK PARAMETERS REQUIRED TO SOLVE THE MODEL - "cycles": 1, # Finite, non-cyclic model - "T_cycle": 1, # Number of periods in the cycle for this agent type - "constructors": WealthPortfolioConsumerType_constructors_default, # See dictionary above - # PRIMITIVE RAW PARAMETERS REQUIRED TO SOLVE THE MODEL - "CRRA": 5.0, # Coefficient of relative risk aversion - "Rfree": 1.03, # Return factor on risk free asset - "DiscFac": 0.90, # Intertemporal discount factor - "LivPrb": [0.98], # Survival probability after each period - "PermGroFac": [1.01], # Permanent income growth factor - "BoroCnstArt": 0.0, # Artificial borrowing constraint - "WealthShare": 0.5, # Share of wealth in Cobb-Douglas aggregator in utility function - "WealthShift": 0.1, # Shifter for wealth in utility function - "DiscreteShareBool": False, # Whether risky asset share is restricted to discrete values - "vFuncBool": False, # Whether to calculate the value function during solution - "CubicBool": False, # Whether to use cubic spline interpolation when True - # (Uses linear spline interpolation for cFunc when False) - "AdjustPrb": 1.0, # Probability that the agent can update their risky portfolio share each period - "sim_common_Rrisky": True, # Whether risky returns have a shared/common value across agents -} -WealthPortfolioConsumerType_simulation_default = { - # PARAMETERS REQUIRED TO SIMULATE THE MODEL - "AgentCount": 10000, # Number of agents of this type - "T_age": None, # Age after which simulated agents are automatically killed - "aNrmInitMean": 0.0, # Mean of log initial assets - "aNrmInitStd": 1.0, # Standard deviation of log initial assets - "pLvlInitMean": 0.0, # Mean of log initial permanent income - "pLvlInitStd": 0.0, # Standard deviation of log initial permanent income - "PermGroFacAgg": 1.0, # Aggregate permanent income growth factor - # (The portion of PermGroFac attributable to aggregate productivity growth) - "NewbornTransShk": False, # Whether Newborns have transitory shock - # ADDITIONAL OPTIONAL PARAMETERS - "PerfMITShk": False, # Do Perfect Foresight MIT Shock - # (Forces Newborns to follow solution path of the agent they replaced if True) - "neutral_measure": False, # Whether to use permanent income neutral measure (see Harmenberg 2021) -} - -# Assemble the default dictionary -WealthPortfolioConsumerType_default = {} -WealthPortfolioConsumerType_default.update(WealthPortfolioConsumerType_solving_default) -WealthPortfolioConsumerType_default.update( - WealthPortfolioConsumerType_simulation_default -) -WealthPortfolioConsumerType_default.update( - WealthPortfolioConsumerType_aXtraGrid_default -) -WealthPortfolioConsumerType_default.update( - WealthPortfolioConsumerType_ShareGrid_default -) -WealthPortfolioConsumerType_default.update( - WealthPortfolioConsumerType_IncShkDstn_default -) -WealthPortfolioConsumerType_default.update( - WealthPortfolioConsumerType_RiskyDstn_default -) -WealthPortfolioConsumerType_default.update(WealthPortfolioConsumerType_ChiFunc_default) -init_wealth_portfolio = WealthPortfolioConsumerType_default - - class WealthPortfolioConsumerType(PortfolioConsumerType): time_inv_ = deepcopy(PortfolioConsumerType.time_inv_) time_inv_ = time_inv_ + ["WealthShare", "WealthShift", "ChiFunc"] @@ -248,18 +114,10 @@ def __init__(self, **kwds): self.solve_one_period = solve_one_period_WealthPortfolio - def update(self): - super().update() - self.update_ChiFunc() - - def update_ChiFunc(self): if self.WealthShare == 0.0: self.ChiFunc = None else: - self.construct("ChiFunc") - - -############################################################################### + self.ChiFunc = ChiFromOmegaFunction(self.CRRA, self.WealthShare) def utility(c, a, CRRA, share=0.0, intercept=0.0): @@ -644,3 +502,8 @@ def solve_one_period_WealthPortfolio( vFuncAdj=vFuncNow, ) return solution_now + + +init_wealth_portfolio = init_portfolio.copy() +init_wealth_portfolio["WealthShare"] = 0.5 +init_wealth_portfolio["WealthShift"] = 0.1 diff --git a/HARK/ConsumptionSaving/LegacyOOsolvers.py b/HARK/ConsumptionSaving/LegacyOOsolvers.py index d8eb62a30..aa209993f 100644 --- a/HARK/ConsumptionSaving/LegacyOOsolvers.py +++ b/HARK/ConsumptionSaving/LegacyOOsolvers.py @@ -10,7 +10,7 @@ from dataclasses import dataclass import numpy as np from HARK import NullFunc -from HARK.distributions import expected, calc_expectation, DiscreteDistribution +from HARK.distribution import expected, calc_expectation, DiscreteDistribution from HARK.interpolation import ( BilinearInterp, BilinearInterpOnInterp1D, diff --git a/HARK/ConsumptionSaving/TractableBufferStockModel.py b/HARK/ConsumptionSaving/TractableBufferStockModel.py index 8eb63a2b3..08f5c6bb8 100644 --- a/HARK/ConsumptionSaving/TractableBufferStockModel.py +++ b/HARK/ConsumptionSaving/TractableBufferStockModel.py @@ -27,7 +27,7 @@ from scipy.optimize import brentq, newton from HARK import AgentType, NullFunc -from HARK.distributions import Bernoulli, Lognormal +from HARK.distribution import Bernoulli, Lognormal from HARK.interpolation import CubicInterp # Import the HARK library. diff --git a/HARK/ConsumptionSaving/tests/test_ConsAggShockModel.py b/HARK/ConsumptionSaving/tests/test_ConsAggShockModel.py index 8db13fc54..31d44393e 100644 --- a/HARK/ConsumptionSaving/tests/test_ConsAggShockModel.py +++ b/HARK/ConsumptionSaving/tests/test_ConsAggShockModel.py @@ -11,7 +11,7 @@ KrusellSmithEconomy, KrusellSmithType, ) -from HARK.distributions import Uniform +from HARK.distribution import Uniform from HARK.tests import HARK_PRECISION diff --git a/HARK/ConsumptionSaving/tests/test_ConsMarkovModel.py b/HARK/ConsumptionSaving/tests/test_ConsMarkovModel.py index 7d5492505..c5f531e07 100644 --- a/HARK/ConsumptionSaving/tests/test_ConsMarkovModel.py +++ b/HARK/ConsumptionSaving/tests/test_ConsMarkovModel.py @@ -7,7 +7,7 @@ MarkovConsumerType, init_indshk_markov, ) -from HARK.distributions import ( +from HARK.distribution import ( DiscreteDistribution, DiscreteDistributionLabeled, MeanOneLogNormal, diff --git a/HARK/ConsumptionSaving/tests/test_SmallOpenEconomy.py b/HARK/ConsumptionSaving/tests/test_SmallOpenEconomy.py index 4fe5f73ca..9aeea94a0 100644 --- a/HARK/ConsumptionSaving/tests/test_SmallOpenEconomy.py +++ b/HARK/ConsumptionSaving/tests/test_SmallOpenEconomy.py @@ -8,7 +8,7 @@ SmallOpenEconomy, init_cobb_douglas, ) -from HARK.distributions import Uniform +from HARK.distribution import Uniform class testSmallOpenEconomy(unittest.TestCase): diff --git a/HARK/ConsumptionSaving/tests/test_modelcomparisons.py b/HARK/ConsumptionSaving/tests/test_modelcomparisons.py index 97cfa7089..0b4669e16 100644 --- a/HARK/ConsumptionSaving/tests/test_modelcomparisons.py +++ b/HARK/ConsumptionSaving/tests/test_modelcomparisons.py @@ -19,7 +19,7 @@ ) from HARK.ConsumptionSaving.ConsMarkovModel import MarkovConsumerType from HARK.ConsumptionSaving.TractableBufferStockModel import TractableConsumerType -from HARK.distributions import DiscreteDistributionLabeled +from HARK.distribution import DiscreteDistributionLabeled class Compare_PerfectForesight_and_Infinite(unittest.TestCase): diff --git a/HARK/core.py b/HARK/core.py index 2a98868b0..adf141556 100644 --- a/HARK/core.py +++ b/HARK/core.py @@ -20,7 +20,7 @@ import numpy as np import pandas as pd -from HARK.distributions import ( +from HARK.distribution import ( Distribution, IndexDistribution, TimeVaryingDiscreteDistribution, diff --git a/HARK/distribution.py b/HARK/distribution.py index eb3f7ab38..274765b2d 100644 --- a/HARK/distribution.py +++ b/HARK/distribution.py @@ -963,11 +963,11 @@ def _approx_equiprobable( ) if np.array_equal(self.Sigma, np.diag(np.diag(self.Sigma))): - ind_atoms = np.empty((self.M, N + 2 * tail_N)) + ind_atoms = np.empty((self.M, N)) for i in range(self.M): if self.Sigma[i, i] == 0.0: - x_atoms = np.repeat(np.exp(self.mu[i]), N + 2 * tail_N) + x_atoms = np.repeat(np.exp(self.mu[i]), N) ind_atoms[i] = x_atoms else: x_atoms = ( @@ -983,22 +983,7 @@ def _approx_equiprobable( atoms = np.stack( [ar.flatten() for ar in list(np.meshgrid(*atoms_list))], axis=1 ).T - - interiors = np.empty([self.M, (N + 2 * tail_N) ** (self.M)]) - - inners = np.zeros(N + 2 * tail_N) - - if tail_N > 0: - inners[:tail_N] = [(tail_N - i) for i in range(tail_N)] - inners[-tail_N:] = [(i + 1) for i in range(tail_N)] - - for i in range(self.M): - inners_i = [inners for _ in range((N + 2 * tail_N) ** i)] - - interiors[i] = np.repeat( - [*inners_i], (N + 2 * tail_N) ** (self.M - (i + 1)) - ) - + pmv = np.repeat(1 / (N**self.M), N**self.M) else: if tail_bound is not None: if type(tail_bound) is float: @@ -1039,10 +1024,10 @@ def eval(params, z): excl = [] for j in range(len(z)): - if z[j, 0] == z[j, 1]: - excl.append(j) - elif params[j] != 0.0: + if z[j, 0] != z[j, 1]: inds.append(j) + else: + excl.append(j) dim = len(inds) @@ -1126,21 +1111,21 @@ def eval(params, z): atoms[i] = xi_atoms - max_locs = np.argmax(np.abs(interiors), axis=0) + max_locs = np.argmax(np.abs(interiors), axis=0) - max_inds = np.stack([max_locs, np.arange(len(max_locs))], axis=1) + max_inds = np.stack([max_locs, np.arange(len(max_locs))], axis=1) - prob_locs = interiors[max_inds[:, 0], max_inds[:, 1]] + prob_locs = interiors[max_inds[:, 0], max_inds[:, 1]] - def prob_assign(x): - if x == 0: - return 1 / (N**self.M) - else: - return 0.0 + def prob_assign(x): + if x == 0: + return 1 / (N**self.M) + else: + return 0.0 - prob_vec = np.vectorize(prob_assign) + prob_vec = np.vectorize(prob_assign) - pmv = prob_vec(prob_locs) + pmv = prob_vec(prob_locs) limit = { "dist": self, diff --git a/HARK/distributions/base.py b/HARK/distributions/base.py index b93969fa8..69d50576f 100644 --- a/HARK/distributions/base.py +++ b/HARK/distributions/base.py @@ -1,8 +1,6 @@ -from copy import deepcopy -from typing import Any, Callable, Dict, List, Optional, Union +from typing import Any, Optional import numpy as np -import xarray as xr from numpy import random @@ -154,518 +152,6 @@ def discretize( return approx(N, endpoints, **kwds) -class DiscreteDistribution(Distribution): - """ - A representation of a discrete probability distribution. - - Parameters - ---------- - pmv : np.array - An array of floats representing a probability mass function. - atoms : np.array - Discrete point values for each probability mass. - For multivariate distributions, the last dimension of atoms must index - "atom" or the random realization. For instance, if atoms.shape == (2,6,4), - the random variable has 4 possible realizations and each of them has shape (2,6). - seed : int - Seed for random number generator. - """ - - def __init__( - self, - pmv: np.ndarray, - atoms: np.ndarray, - seed: int = 0, - limit: Optional[Dict[str, Any]] = None, - ) -> None: - super().__init__(seed=seed) - - self.pmv = np.asarray(pmv) - self.atoms = np.atleast_2d(atoms) - self.limit = limit - - # Check that pmv and atoms have compatible dimensions. - if not self.pmv.size == self.atoms.shape[-1]: - raise ValueError( - "Provided pmv and atoms arrays have incompatible dimensions. " - + "The length of the pmv must be equal to that of atoms's last dimension." - ) - - def dim(self) -> int: - """ - Last dimension of self.atoms indexes "atom." - """ - return self.atoms.shape[:-1] - - def draw_events(self, N: int) -> np.ndarray: - """ - Draws N 'events' from the distribution PMF. - These events are indices into atoms. - """ - # Generate a cumulative distribution - base_draws = self._rng.uniform(size=N) - cum_dist = np.cumsum(self.pmv) - - # Convert the basic uniform draws into discrete draws - indices = cum_dist.searchsorted(base_draws) - - return indices - - def draw( - self, - N: int, - atoms: Union[None, int, np.ndarray] = None, - exact_match: bool = False, - ) -> np.ndarray: - """ - Simulates N draws from a discrete distribution with probabilities P and outcomes atoms. - - Parameters - ---------- - N : int - Number of draws to simulate. - atoms : None, int, or np.array - If None, then use this distribution's atoms for point values. - If an int, then the index of atoms for the point values. - If an np.array, use the array for the point values. - exact_match : boolean - Whether the draws should "exactly" match the discrete distribution (as - closely as possible given finite draws). When True, returned draws are - a random permutation of the N-length list that best fits the discrete - distribution. When False (default), each draw is independent from the - others and the result could deviate from the input. - - Returns - ------- - draws : np.array - An array of draws from the discrete distribution; each element is a value in atoms. - """ - if atoms is None: - atoms = self.atoms - elif isinstance(atoms, int): - atoms = self.atoms[atoms] - - if exact_match: - events = np.arange(self.pmv.size) # just a list of integers - cutoffs = np.round(np.cumsum(self.pmv) * N).astype( - int - ) # cutoff points between discrete outcomes - top = 0 - - # Make a list of event indices that closely matches the discrete distribution - event_list = [] - for j in range(events.size): - bot = top - top = cutoffs[j] - event_list += (top - bot) * [events[j]] - - # Randomly permute the event indices - indices = self._rng.permutation(event_list) - - # Draw event indices randomly from the discrete distribution - else: - indices = self.draw_events(N) - - # Create and fill in the output array of draws based on the output of event indices - draws = atoms[..., indices] - - # TODO: some models expect univariate draws to just be a 1d vector. Fix those models. - if len(draws.shape) == 2 and draws.shape[0] == 1: - draws = draws.flatten() - - return draws - - def expected( - self, func: Optional[Callable] = None, *args: np.ndarray - ) -> np.ndarray: - """ - Expected value of a function, given an array of configurations of its - inputs along with a DiscreteDistribution object that specifies the - probability of each configuration. - - If no function is provided, it's much faster to go straight to dot - product instead of calling the dummy function. - - If a function is provided, we need to add one more dimension, - the atom dimension, to any inputs that are n-dim arrays. - This allows numpy to easily broadcast the function's output. - For more information on broadcasting, see: - https://numpy.org/doc/stable/user/basics.broadcasting.html#general-broadcasting-rules - - Parameters - ---------- - func : function - The function to be evaluated. - This function should take the full array of distribution values - and return either arrays of arbitrary shape or scalars. - It may also take other arguments \\*args. - This function differs from the standalone `calc_expectation` - method in that it uses numpy's vectorization and broadcasting - rules to avoid costly iteration. - Note: If you need to use a function that acts on single outcomes - of the distribution, consider `distribution.calc_expectation`. - \\*args : - Other inputs for func, representing the non-stochastic arguments. - The the expectation is computed at ``f(dstn, *args)``. - - Returns - ------- - f_exp : np.array or scalar - The expectation of the function at the queried values. - Scalar if only one value. - """ - - if func is None: - f_query = self.atoms - else: - args = [ - np.expand_dims(arg, -1) if isinstance(arg, np.ndarray) else arg - for arg in args - ] - - f_query = func(self.atoms, *args) - - f_exp = np.dot(f_query, self.pmv) - - return f_exp - - def dist_of_func( - self, func: Callable[..., float] = lambda x: x, *args: Any - ) -> "DiscreteDistribution": - """ - Finds the distribution of a random variable Y that is a function - of discrete random variable atoms, Y=f(atoms). - - Parameters - ---------- - func : function - The function to be evaluated. - This function should take the full array of distribution values. - It may also take other arguments \\*args. - \\*args : - Additional non-stochastic arguments for func, - The function is computed as ``f(dstn, *args)``. - - Returns - ------- - f_dstn : DiscreteDistribution - The distribution of func(dstn). - """ - # we need to add one more dimension, - # the atom dimension, to any inputs that are n-dim arrays. - # This allows numpy to easily broadcast the function's output. - args = [ - np.expand_dims(arg, -1) if isinstance(arg, np.ndarray) else arg - for arg in args - ] - f_query = func(self.atoms, *args) - - f_dstn = DiscreteDistribution(list(self.pmv), f_query, seed=self.seed) - - return f_dstn - - def discretize(self, N: int, *args: Any, **kwargs: Any) -> "DiscreteDistribution": - """ - `DiscreteDistribution` is already an approximation, so this method - returns a copy of the distribution. - - TODO: print warning message? - """ - return self - - def make_univariate(self, dim_to_keep, seed=0): - """ - Make a univariate discrete distribution from this distribution, keeping - only the specified dimension. - - Parameters - ---------- - dim_to_keep : int - Index of the distribution to be kept. Any other dimensions will be - "collapsed" into the univariate atoms, combining probabilities. - seed : int, optional - Seed for random number generator of univariate distribution - - Returns - ------- - univariate_dstn : DiscreteDistribution - Univariate distribution with only the specified index. - """ - # Do basic validity and triviality checks - if (self.atoms.shape[0] == 1) and (dim_to_keep == 0): - return deepcopy(self) # Return copy of self if only one dimension - if dim_to_keep >= self.atoms.shape[0]: - raise ValueError("dim_to_keep exceeds dimensionality of distribution.") - - # Construct values and probabilities for univariate distribution - atoms_temp = self.atoms[dim_to_keep] - vals_to_keep = np.unique(atoms_temp) - probs_to_keep = np.zeros_like(vals_to_keep) - for i in range(vals_to_keep.size): - val = vals_to_keep[i] - these = atoms_temp == val - probs_to_keep[i] = np.sum(self.pmv[these]) - - # Make and return the univariate distribution - univariate_dstn = DiscreteDistribution( - pmv=probs_to_keep, atoms=vals_to_keep, seed=seed - ) - return univariate_dstn - - -class DiscreteDistributionLabeled(DiscreteDistribution): - """ - A representation of a discrete probability distribution - stored in an underlying `xarray.Dataset`. - - Parameters - ---------- - pmv : np.array - An array of values representing a probability mass function. - data : np.array - Discrete point values for each probability mass. - For multivariate distributions, the last dimension of atoms must index - "atom" or the random realization. For instance, if atoms.shape == (2,6,4), - the random variable has 4 possible realizations and each of them has shape (2,6). - seed : int - Seed for random number generator. - name : str - Name of the distribution. - attrs : dict - Attributes for the distribution. - var_names : list of str - Names of the variables in the distribution. - var_attrs : list of dict - Attributes of the variables in the distribution. - - """ - - def __init__( - self, - pmv: np.ndarray, - atoms: np.ndarray, - seed: int = 0, - limit: Optional[Dict[str, Any]] = None, - name: str = "DiscreteDistributionLabeled", - attrs: Optional[Dict[str, Any]] = None, - var_names: Optional[List[str]] = None, - var_attrs: Optional[List[Optional[Dict[str, Any]]]] = None, - ): - super().__init__(pmv, atoms, seed=seed, limit=limit) - - # vector-value distributions - - if self.atoms.ndim > 2: - raise NotImplementedError( - "Only vector-valued distributions are supported for now." - ) - - attrs = {} if attrs is None else attrs - limit = {} if limit is None else limit - attrs.update(limit) - attrs["name"] = name - - n_var = self.atoms.shape[0] - - # give dummy names to variables if none are provided - if var_names is None: - var_names = ["var_" + str(i) for i in range(n_var)] - - assert ( - len(var_names) == n_var - ), "Number of variable names does not match number of variables." - - # give dummy attributes to variables if none are provided - if var_attrs is None: - var_attrs = [None] * n_var - - # a DiscreteDistributionLabeled is an xr.Dataset where the only - # dimension is "atom", which indexes the random realizations. - self.dataset = xr.Dataset( - { - var_names[i]: xr.DataArray( - self.atoms[i], - dims=("atom"), - attrs=var_attrs[i], - ) - for i in range(n_var) - }, - attrs=attrs, - ) - - # the probability mass values are stored in - # a DataArray with dimension "atom" - self.probability = xr.DataArray(self.pmv, dims=("atom")) - - @classmethod - def from_unlabeled( - cls, - dist, - name="DiscreteDistributionLabeled", - attrs=None, - var_names=None, - var_attrs=None, - ): - ldd = cls( - dist.pmv, - dist.atoms, - seed=dist.seed, - limit=dist.limit, - name=name, - attrs=attrs, - var_names=var_names, - var_attrs=var_attrs, - ) - - return ldd - - @classmethod - def from_dataset(cls, x_obj, pmf): - ldd = cls.__new__(cls) - - if isinstance(x_obj, xr.Dataset): - ldd.dataset = x_obj - elif isinstance(x_obj, xr.DataArray): - ldd.dataset = xr.Dataset({x_obj.name: x_obj}) - elif isinstance(x_obj, dict): - ldd.dataset = xr.Dataset(x_obj) - - ldd.probability = pmf - - return ldd - - @property - def _weighted(self): - """ - Returns a DatasetWeighted object for the distribution. - """ - return self.dataset.weighted(self.probability) - - @property - def variables(self): - """ - A dict-like container of DataArrays corresponding to - the variables of the distribution. - """ - return self.dataset.data_vars - - @property - def name(self): - """ - The distribution's name. - """ - return self.dataset.name - - @property - def attrs(self): - """ - The distribution's attributes. - """ - - return self.dataset.attrs - - def dist_of_func( - self, func: Callable = lambda x: x, *args, **kwargs - ) -> DiscreteDistribution: - """ - Finds the distribution of a random variable Y that is a function - of discrete random variable atoms, Y=f(atoms). - - Parameters - ---------- - func : function - The function to be evaluated. - This function should take the full array of distribution values. - It may also take other arguments \\*args. - \\*args : - Additional non-stochastic arguments for func, - The function is computed as ``f(dstn, *args)``. - \\*\\*kwargs : - Additional keyword arguments for func. Must be xarray compatible - in order to work with xarray broadcasting. - - Returns - ------- - f_dstn : DiscreteDistribution or DiscreteDistributionLabeled - The distribution of func(dstn). - """ - - def func_wrapper(x: np.ndarray, *args: Any) -> np.ndarray: - """ - Wrapper function for `func` that handles labeled indexing. - """ - - idx = self.variables.keys() - wrapped = dict(zip(idx, x)) - - return func(wrapped, *args) - - if len(kwargs): - f_query = func(self.dataset, **kwargs) - ldd = DiscreteDistributionLabeled.from_dataset(f_query, self.probability) - - return ldd - - return super().dist_of_func(func_wrapper, *args) - - def expected( - self, func: Optional[Callable] = None, *args: Any, **kwargs: Any - ) -> Union[float, np.ndarray]: - """ - Expectation of a function, given an array of configurations of its inputs - along with a DiscreteDistributionLabeled object that specifies the probability - of each configuration. - - Parameters - ---------- - func : function - The function to be evaluated. - This function should take the full array of distribution values - and return either arrays of arbitrary shape or scalars. - It may also take other arguments \\*args. - This function differs from the standalone `calc_expectation` - method in that it uses numpy's vectorization and broadcasting - rules to avoid costly iteration. - Note: If you need to use a function that acts on single outcomes - of the distribution, consider `distribution.calc_expectation`. - \\*args : - Other inputs for func, representing the non-stochastic arguments. - The the expectation is computed at ``f(dstn, *args)``. - labels : bool - If True, the function should use labeled indexing instead of integer - indexing using the distribution's underlying rv coordinates. For example, - if `dims = ('rv', 'x')` and `coords = {'rv': ['a', 'b'], }`, then - the function can be `lambda x: x["a"] + x["b"]`. - - Returns - ------- - f_exp : np.array or scalar - The expectation of the function at the queried values. - Scalar if only one value. - """ - - def func_wrapper(x, *args): - """ - Wrapper function for `func` that handles labeled indexing. - """ - - idx = self.variables.keys() - wrapped = dict(zip(idx, x)) - - return func(wrapped, *args) - - if len(kwargs): - f_query = func(self.dataset, *args, **kwargs) - ldd = DiscreteDistributionLabeled.from_dataset(f_query, self.probability) - - return ldd._weighted.mean("atom") - else: - if func is None: - return super().expected() - else: - return super().expected(func_wrapper, *args) - - class MarkovProcess(Distribution): """ A representation of a discrete Markov process. diff --git a/HARK/distributions/continuous.py b/HARK/distributions/continuous.py index f8f56906c..e5db04547 100644 --- a/HARK/distributions/continuous.py +++ b/HARK/distributions/continuous.py @@ -186,6 +186,8 @@ def __new__( if sigma == 0: # If sigma is zero, return a DiscreteDistribution with a single atom + if mean is not None: + return DiscreteDistribution([1.0], mean, seed=seed) return DiscreteDistribution([1.0], [np.exp(mu)], seed=seed) return super().__new__(cls) @@ -198,12 +200,15 @@ def __init__( mean=None, std=None, ): - if mean is not None and sigma is not None: + if mean is not None and std is not None: mean_squared = mean**2 variance = std**2 mu = np.log(mean / (np.sqrt(1.0 + variance / mean_squared))) sigma = np.sqrt(np.log(1.0 + variance / mean_squared)) + if mean is not None and std is None: + mu = np.log(mean) - sigma**2 / 2 + self.mu = np.asarray(mu) self.sigma = np.asarray(sigma) diff --git a/HARK/distributions/discrete.py b/HARK/distributions/discrete.py index 8d023d28b..f1335361f 100644 --- a/HARK/distributions/discrete.py +++ b/HARK/distributions/discrete.py @@ -52,3 +52,515 @@ def __init__(self, p=0.5, seed=0): self.pmv = [1 - self.p, self.p] self.atoms = [0, 1] self.limit = {"dist": self} + + +class DiscreteDistribution(Distribution): + """ + A representation of a discrete probability distribution. + + Parameters + ---------- + pmv : np.array + An array of floats representing a probability mass function. + atoms : np.array + Discrete point values for each probability mass. + For multivariate distributions, the last dimension of atoms must index + "atom" or the random realization. For instance, if atoms.shape == (2,6,4), + the random variable has 4 possible realizations and each of them has shape (2,6). + seed : int + Seed for random number generator. + """ + + def __init__( + self, + pmv: np.ndarray, + atoms: np.ndarray, + seed: int = 0, + limit: Optional[Dict[str, Any]] = None, + ) -> None: + super().__init__(seed=seed) + + self.pmv = np.asarray(pmv) + self.atoms = np.atleast_2d(atoms) + self.limit = limit + + # Check that pmv and atoms have compatible dimensions. + if not self.pmv.size == self.atoms.shape[-1]: + raise ValueError( + "Provided pmv and atoms arrays have incompatible dimensions. " + + "The length of the pmv must be equal to that of atoms's last dimension." + ) + + def dim(self) -> int: + """ + Last dimension of self.atoms indexes "atom." + """ + return self.atoms.shape[:-1] + + def draw_events(self, N: int) -> np.ndarray: + """ + Draws N 'events' from the distribution PMF. + These events are indices into atoms. + """ + # Generate a cumulative distribution + base_draws = self._rng.uniform(size=N) + cum_dist = np.cumsum(self.pmv) + + # Convert the basic uniform draws into discrete draws + indices = cum_dist.searchsorted(base_draws) + + return indices + + def draw( + self, + N: int, + atoms: Union[None, int, np.ndarray] = None, + exact_match: bool = False, + ) -> np.ndarray: + """ + Simulates N draws from a discrete distribution with probabilities P and outcomes atoms. + + Parameters + ---------- + N : int + Number of draws to simulate. + atoms : None, int, or np.array + If None, then use this distribution's atoms for point values. + If an int, then the index of atoms for the point values. + If an np.array, use the array for the point values. + exact_match : boolean + Whether the draws should "exactly" match the discrete distribution (as + closely as possible given finite draws). When True, returned draws are + a random permutation of the N-length list that best fits the discrete + distribution. When False (default), each draw is independent from the + others and the result could deviate from the input. + + Returns + ------- + draws : np.array + An array of draws from the discrete distribution; each element is a value in atoms. + """ + if atoms is None: + atoms = self.atoms + elif isinstance(atoms, int): + atoms = self.atoms[atoms] + + if exact_match: + events = np.arange(self.pmv.size) # just a list of integers + cutoffs = np.round(np.cumsum(self.pmv) * N).astype( + int + ) # cutoff points between discrete outcomes + top = 0 + + # Make a list of event indices that closely matches the discrete distribution + event_list = [] + for j in range(events.size): + bot = top + top = cutoffs[j] + event_list += (top - bot) * [events[j]] + + # Randomly permute the event indices + indices = self._rng.permutation(event_list) + + # Draw event indices randomly from the discrete distribution + else: + indices = self.draw_events(N) + + # Create and fill in the output array of draws based on the output of event indices + draws = atoms[..., indices] + + # TODO: some models expect univariate draws to just be a 1d vector. Fix those models. + if len(draws.shape) == 2 and draws.shape[0] == 1: + draws = draws.flatten() + + return draws + + def expected( + self, func: Optional[Callable] = None, *args: np.ndarray + ) -> np.ndarray: + """ + Expected value of a function, given an array of configurations of its + inputs along with a DiscreteDistribution object that specifies the + probability of each configuration. + + If no function is provided, it's much faster to go straight to dot + product instead of calling the dummy function. + + If a function is provided, we need to add one more dimension, + the atom dimension, to any inputs that are n-dim arrays. + This allows numpy to easily broadcast the function's output. + For more information on broadcasting, see: + https://numpy.org/doc/stable/user/basics.broadcasting.html#general-broadcasting-rules + + Parameters + ---------- + func : function + The function to be evaluated. + This function should take the full array of distribution values + and return either arrays of arbitrary shape or scalars. + It may also take other arguments \\*args. + This function differs from the standalone `calc_expectation` + method in that it uses numpy's vectorization and broadcasting + rules to avoid costly iteration. + Note: If you need to use a function that acts on single outcomes + of the distribution, consider `distribution.calc_expectation`. + \\*args : + Other inputs for func, representing the non-stochastic arguments. + The the expectation is computed at ``f(dstn, *args)``. + + Returns + ------- + f_exp : np.array or scalar + The expectation of the function at the queried values. + Scalar if only one value. + """ + + if func is None: + f_query = self.atoms + else: + args = [ + np.expand_dims(arg, -1) if isinstance(arg, np.ndarray) else arg + for arg in args + ] + + f_query = func(self.atoms, *args) + + f_exp = np.dot(f_query, self.pmv) + + return f_exp + + def dist_of_func( + self, func: Callable[..., float] = lambda x: x, *args: Any + ) -> "DiscreteDistribution": + """ + Finds the distribution of a random variable Y that is a function + of discrete random variable atoms, Y=f(atoms). + + Parameters + ---------- + func : function + The function to be evaluated. + This function should take the full array of distribution values. + It may also take other arguments \\*args. + \\*args : + Additional non-stochastic arguments for func, + The function is computed as ``f(dstn, *args)``. + + Returns + ------- + f_dstn : DiscreteDistribution + The distribution of func(dstn). + """ + # we need to add one more dimension, + # the atom dimension, to any inputs that are n-dim arrays. + # This allows numpy to easily broadcast the function's output. + args = [ + np.expand_dims(arg, -1) if isinstance(arg, np.ndarray) else arg + for arg in args + ] + f_query = func(self.atoms, *args) + + f_dstn = DiscreteDistribution(list(self.pmv), f_query, seed=self.seed) + + return f_dstn + + def discretize(self, N: int, *args: Any, **kwargs: Any) -> "DiscreteDistribution": + """ + `DiscreteDistribution` is already an approximation, so this method + returns a copy of the distribution. + + TODO: print warning message? + """ + return self + + def make_univariate(self, dim_to_keep, seed=0): + """ + Make a univariate discrete distribution from this distribution, keeping + only the specified dimension. + + Parameters + ---------- + dim_to_keep : int + Index of the distribution to be kept. Any other dimensions will be + "collapsed" into the univariate atoms, combining probabilities. + seed : int, optional + Seed for random number generator of univariate distribution + + Returns + ------- + univariate_dstn : DiscreteDistribution + Univariate distribution with only the specified index. + """ + # Do basic validity and triviality checks + if (self.atoms.shape[0] == 1) and (dim_to_keep == 0): + return deepcopy(self) # Return copy of self if only one dimension + if dim_to_keep >= self.atoms.shape[0]: + raise ValueError("dim_to_keep exceeds dimensionality of distribution.") + + # Construct values and probabilities for univariate distribution + atoms_temp = self.atoms[dim_to_keep] + vals_to_keep = np.unique(atoms_temp) + probs_to_keep = np.zeros_like(vals_to_keep) + for i in range(vals_to_keep.size): + val = vals_to_keep[i] + these = atoms_temp == val + probs_to_keep[i] = np.sum(self.pmv[these]) + + # Make and return the univariate distribution + univariate_dstn = DiscreteDistribution( + pmv=probs_to_keep, atoms=vals_to_keep, seed=seed + ) + return univariate_dstn + + +class DiscreteDistributionLabeled(DiscreteDistribution): + """ + A representation of a discrete probability distribution + stored in an underlying `xarray.Dataset`. + + Parameters + ---------- + pmv : np.array + An array of values representing a probability mass function. + data : np.array + Discrete point values for each probability mass. + For multivariate distributions, the last dimension of atoms must index + "atom" or the random realization. For instance, if atoms.shape == (2,6,4), + the random variable has 4 possible realizations and each of them has shape (2,6). + seed : int + Seed for random number generator. + name : str + Name of the distribution. + attrs : dict + Attributes for the distribution. + var_names : list of str + Names of the variables in the distribution. + var_attrs : list of dict + Attributes of the variables in the distribution. + + """ + + def __init__( + self, + pmv: np.ndarray, + atoms: np.ndarray, + seed: int = 0, + limit: Optional[Dict[str, Any]] = None, + name: str = "DiscreteDistributionLabeled", + attrs: Optional[Dict[str, Any]] = None, + var_names: Optional[List[str]] = None, + var_attrs: Optional[List[Optional[Dict[str, Any]]]] = None, + ): + super().__init__(pmv, atoms, seed=seed, limit=limit) + + # vector-value distributions + + if self.atoms.ndim > 2: + raise NotImplementedError( + "Only vector-valued distributions are supported for now." + ) + + attrs = {} if attrs is None else attrs + limit = {} if limit is None else limit + attrs.update(limit) + attrs["name"] = name + + n_var = self.atoms.shape[0] + + # give dummy names to variables if none are provided + if var_names is None: + var_names = ["var_" + str(i) for i in range(n_var)] + + assert ( + len(var_names) == n_var + ), "Number of variable names does not match number of variables." + + # give dummy attributes to variables if none are provided + if var_attrs is None: + var_attrs = [None] * n_var + + # a DiscreteDistributionLabeled is an xr.Dataset where the only + # dimension is "atom", which indexes the random realizations. + self.dataset = xr.Dataset( + { + var_names[i]: xr.DataArray( + self.atoms[i], + dims=("atom"), + attrs=var_attrs[i], + ) + for i in range(n_var) + }, + attrs=attrs, + ) + + # the probability mass values are stored in + # a DataArray with dimension "atom" + self.probability = xr.DataArray(self.pmv, dims=("atom")) + + @classmethod + def from_unlabeled( + cls, + dist, + name="DiscreteDistributionLabeled", + attrs=None, + var_names=None, + var_attrs=None, + ): + ldd = cls( + dist.pmv, + dist.atoms, + seed=dist.seed, + limit=dist.limit, + name=name, + attrs=attrs, + var_names=var_names, + var_attrs=var_attrs, + ) + + return ldd + + @classmethod + def from_dataset(cls, x_obj, pmf): + ldd = cls.__new__(cls) + + if isinstance(x_obj, xr.Dataset): + ldd.dataset = x_obj + elif isinstance(x_obj, xr.DataArray): + ldd.dataset = xr.Dataset({x_obj.name: x_obj}) + elif isinstance(x_obj, dict): + ldd.dataset = xr.Dataset(x_obj) + + ldd.probability = pmf + + return ldd + + @property + def _weighted(self): + """ + Returns a DatasetWeighted object for the distribution. + """ + return self.dataset.weighted(self.probability) + + @property + def variables(self): + """ + A dict-like container of DataArrays corresponding to + the variables of the distribution. + """ + return self.dataset.data_vars + + @property + def name(self): + """ + The distribution's name. + """ + return self.dataset.name + + @property + def attrs(self): + """ + The distribution's attributes. + """ + + return self.dataset.attrs + + def dist_of_func( + self, func: Callable = lambda x: x, *args, **kwargs + ) -> DiscreteDistribution: + """ + Finds the distribution of a random variable Y that is a function + of discrete random variable atoms, Y=f(atoms). + + Parameters + ---------- + func : function + The function to be evaluated. + This function should take the full array of distribution values. + It may also take other arguments \\*args. + \\*args : + Additional non-stochastic arguments for func, + The function is computed as ``f(dstn, *args)``. + \\*\\*kwargs : + Additional keyword arguments for func. Must be xarray compatible + in order to work with xarray broadcasting. + + Returns + ------- + f_dstn : DiscreteDistribution or DiscreteDistributionLabeled + The distribution of func(dstn). + """ + + def func_wrapper(x: np.ndarray, *args: Any) -> np.ndarray: + """ + Wrapper function for `func` that handles labeled indexing. + """ + + idx = self.variables.keys() + wrapped = dict(zip(idx, x)) + + return func(wrapped, *args) + + if len(kwargs): + f_query = func(self.dataset, **kwargs) + ldd = DiscreteDistributionLabeled.from_dataset(f_query, self.probability) + + return ldd + + return super().dist_of_func(func_wrapper, *args) + + def expected( + self, func: Optional[Callable] = None, *args: Any, **kwargs: Any + ) -> Union[float, np.ndarray]: + """ + Expectation of a function, given an array of configurations of its inputs + along with a DiscreteDistributionLabeled object that specifies the probability + of each configuration. + + Parameters + ---------- + func : function + The function to be evaluated. + This function should take the full array of distribution values + and return either arrays of arbitrary shape or scalars. + It may also take other arguments \\*args. + This function differs from the standalone `calc_expectation` + method in that it uses numpy's vectorization and broadcasting + rules to avoid costly iteration. + Note: If you need to use a function that acts on single outcomes + of the distribution, consider `distribution.calc_expectation`. + \\*args : + Other inputs for func, representing the non-stochastic arguments. + The the expectation is computed at ``f(dstn, *args)``. + labels : bool + If True, the function should use labeled indexing instead of integer + indexing using the distribution's underlying rv coordinates. For example, + if `dims = ('rv', 'x')` and `coords = {'rv': ['a', 'b'], }`, then + the function can be `lambda x: x["a"] + x["b"]`. + + Returns + ------- + f_exp : np.array or scalar + The expectation of the function at the queried values. + Scalar if only one value. + """ + + def func_wrapper(x, *args): + """ + Wrapper function for `func` that handles labeled indexing. + """ + + idx = self.variables.keys() + wrapped = dict(zip(idx, x)) + + return func(wrapped, *args) + + if len(kwargs): + f_query = func(self.dataset, *args, **kwargs) + ldd = DiscreteDistributionLabeled.from_dataset(f_query, self.probability) + + return ldd._weighted.mean("atom") + else: + if func is None: + return super().expected() + else: + return super().expected(func_wrapper, *args) diff --git a/HARK/distributions/utils.py b/HARK/distributions/utils.py index 73a605950..2d7186399 100644 --- a/HARK/distributions/utils.py +++ b/HARK/distributions/utils.py @@ -311,7 +311,7 @@ def combine_indep_dstns(*distributions, seed=0): Parameters ---------- distributions : DiscreteDistribution - Arbitrary number of discrete distributionss to combine. Their realizations must be + Arbitrary number of discrete distributions to combine. Their realizations must be vector-valued (for each D in distributions, it must be the case that len(D.dim())==1). Returns diff --git a/HARK/frame.py b/HARK/frame.py index a88a05ca5..968df180e 100644 --- a/HARK/frame.py +++ b/HARK/frame.py @@ -7,7 +7,7 @@ import numpy as np from HARK import AgentType, Model -from HARK.distributions import Distribution +from HARK.distribution import Distribution class Frame: diff --git a/HARK/model.py b/HARK/model.py index 368ef783e..d20e3341a 100644 --- a/HARK/model.py +++ b/HARK/model.py @@ -4,7 +4,7 @@ from dataclasses import dataclass, field, replace from copy import copy, deepcopy -from HARK.distributions import ( +from HARK.distribution import ( Distribution, DiscreteDistributionLabeled, combine_indep_dstns, diff --git a/HARK/models/consumer.py b/HARK/models/consumer.py index bca895260..5a990b4e8 100644 --- a/HARK/models/consumer.py +++ b/HARK/models/consumer.py @@ -1,4 +1,4 @@ -from HARK.distributions import Bernoulli, Lognormal, MeanOneLogNormal +from HARK.distribution import Bernoulli, Lognormal, MeanOneLogNormal from HARK.model import Control, DBlock, RBlock """ diff --git a/HARK/models/perfect_foresight.py b/HARK/models/perfect_foresight.py index 8a54bfb2d..22b02ad83 100644 --- a/HARK/models/perfect_foresight.py +++ b/HARK/models/perfect_foresight.py @@ -1,4 +1,4 @@ -from HARK.distributions import Bernoulli +from HARK.distribution import Bernoulli from HARK.model import Control, DBlock # This way of distributing parameters across the scope is clunky diff --git a/HARK/models/perfect_foresight_normalized.py b/HARK/models/perfect_foresight_normalized.py index 2b63dec3c..544a14fbc 100644 --- a/HARK/models/perfect_foresight_normalized.py +++ b/HARK/models/perfect_foresight_normalized.py @@ -1,4 +1,4 @@ -from HARK.distributions import Bernoulli +from HARK.distribution import Bernoulli from HARK.model import Control, DBlock # This way of distributing parameters across the scope is clunky diff --git a/HARK/models/test_models.py b/HARK/models/test_models.py index 8cc9f8c57..9cb9152d1 100644 --- a/HARK/models/test_models.py +++ b/HARK/models/test_models.py @@ -1,4 +1,4 @@ -from HARK.distributions import Lognormal +from HARK.distribution import Lognormal import HARK.models.consumer as cons import HARK.models.perfect_foresight as pfm import HARK.models.perfect_foresight_normalized as pfnm diff --git a/HARK/parser.py b/HARK/parser.py index 72f197c20..3f21ff7f9 100644 --- a/HARK/parser.py +++ b/HARK/parser.py @@ -1,4 +1,4 @@ -from HARK.distributions import Bernoulli, Lognormal, MeanOneLogNormal +from HARK.distribution import Bernoulli, Lognormal, MeanOneLogNormal from sympy.utilities.lambdify import lambdify from sympy.parsing.sympy_parser import parse_expr import yaml diff --git a/HARK/simulation/monte_carlo.py b/HARK/simulation/monte_carlo.py index ad99f0c0e..2aa887710 100644 --- a/HARK/simulation/monte_carlo.py +++ b/HARK/simulation/monte_carlo.py @@ -7,7 +7,7 @@ import numpy as np -from HARK.distributions import ( +from HARK.distribution import ( Distribution, IndexDistribution, TimeVaryingDiscreteDistribution, diff --git a/HARK/simulation/test_monte_carlo.py b/HARK/simulation/test_monte_carlo.py index 7f2329703..b431f3494 100644 --- a/HARK/simulation/test_monte_carlo.py +++ b/HARK/simulation/test_monte_carlo.py @@ -4,7 +4,7 @@ import unittest -from HARK.distributions import Bernoulli, IndexDistribution, MeanOneLogNormal +from HARK.distribution import Bernoulli, IndexDistribution, MeanOneLogNormal from HARK.model import Aggregate, Control, DBlock from HARK.simulation.monte_carlo import * diff --git a/HARK/tests/test_approxDstns.py b/HARK/tests/test_approxDstns.py index 800c88551..2a0ff75f6 100644 --- a/HARK/tests/test_approxDstns.py +++ b/HARK/tests/test_approxDstns.py @@ -7,7 +7,7 @@ import numpy as np # Bring in modules we need -import HARK.distributions as distribution +import HARK.distribution as distribution class testsForDCEGM(unittest.TestCase): diff --git a/HARK/tests/test_core.py b/HARK/tests/test_core.py index d5e904b6b..102d23deb 100644 --- a/HARK/tests/test_core.py +++ b/HARK/tests/test_core.py @@ -12,7 +12,7 @@ init_idiosyncratic_shocks, ) from HARK.core import AgentPopulation, AgentType, Parameters, distribute_params -from HARK.distributions import Uniform +from HARK.distribution import Uniform from HARK.metric import MetricObject, distance_metric diff --git a/HARK/tests/test_distribution.py b/HARK/tests/test_distribution.py index 9619451b0..d31d439a0 100644 --- a/HARK/tests/test_distribution.py +++ b/HARK/tests/test_distribution.py @@ -3,7 +3,7 @@ import numpy as np import xarray as xr -from HARK.distributions import ( +from HARK.distribution import ( Bernoulli, DiscreteDistribution, DiscreteDistributionLabeled, @@ -11,8 +11,8 @@ Lognormal, MarkovProcess, MeanOneLogNormal, - MVLogNormal, MVNormal, + MVLogNormal, Normal, Uniform, Weibull, diff --git a/HARK/tests/test_model.py b/HARK/tests/test_model.py index cc19ad30c..0632a6a7f 100644 --- a/HARK/tests/test_model.py +++ b/HARK/tests/test_model.py @@ -1,6 +1,6 @@ import unittest -from HARK.distributions import Bernoulli, DiscreteDistribution +from HARK.distribution import Bernoulli, DiscreteDistribution import HARK.model as model from HARK.model import Control import HARK.models.consumer as cons diff --git a/binder/postBuild b/binder/postBuild new file mode 100755 index 000000000..4e4b22864 --- /dev/null +++ b/binder/postBuild @@ -0,0 +1,10 @@ +#!/bin/sh +jupyter contrib nbextension install --user +jupyter nbextension enable codefolding/main +python -m cite2c.install +result=$(python < no retirement)\n", - " # Aggregates affecting the agent's decision\n", - " \"Rfree\": (1 + r_ss), # Interest factor for assets faced by agents\n", - " \"wage\": [w_ss], # Wage rate faced by agents\n", - " \"tax_rate\": [\n", - " 0\n", - " ], # set to 0.0 because we are going to assume that labor here is actually after tax income\n", - " \"labor\": [L_ss], # Aggregate (mean) labor supply\n", - " # Parameters for constructing \"assets above minimum\" grid\n", + " # Parameters for constructing the \"assets above minimum\" grid\n", " \"aXtraMin\": 0.0001, # Minimum end-of-period \"assets above minimum\" value\n", " \"aXtraMax\": 2000, # Maximum end-of-period \"assets above minimum\" value\n", " \"aXtraCount\": 200, # Number of points in the base grid of \"assets above minimum\"\n", " # Exponential nesting factor when constructing \"assets above minimum\" grid\n", " \"aXtraNestFac\": 3,\n", " \"aXtraExtra\": None, # Additional values to add to aXtraGrid\n", - " # Transition matrix simulation parameters\n", + " # Transition Matrix simulation parameters\n", " \"mCount\": 200,\n", " \"mMax\": 2000,\n", " \"mMin\": 0.0001,\n", @@ -311,7 +309,7 @@ "id": "3be9593e", "metadata": {}, "source": [ - "Let's create a temporary instance of a `NewKeynesianConsumerType` agent." + "# Create HARK agent" ] }, { @@ -328,7 +326,7 @@ }, "outputs": [], "source": [ - "tempAgent = NewKeynesianConsumerType(**HANK_Dict)" + "Agent = NewKeynesianConsumerType(**HANK_Dict)" ] }, { @@ -336,28 +334,10 @@ "id": "fa266888", "metadata": {}, "source": [ - "Given a discount factor, the agent will supply a steady state capital stock `A_ss`." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ebe1792e", - "metadata": {}, - "outputs": [], - "source": [ - "A_ss = tempAgent.compute_steady_state()[0]\n", - "print(f\"Steady state agent asset supply for beta = 0.98 is: {A_ss:.3f}\")" - ] - }, - { - "cell_type": "markdown", - "id": "911805ab", - "metadata": {}, - "source": [ - "### Steady State Assets \n", + "# Find Steady state discount factor clear asset market\n", "\n", - "Since we are interested in computing a steady state equilibrium, we find `discFac` such that `A_ss` clears the asset market given that `K_ss` is the steady state firm capital demand. " + "We will estimate the discount factor to ensure that asset supply equals the steady state capital we found earlier. \n", + "\n" ] }, { @@ -385,10 +365,7 @@ "def A_ss_func(beta):\n", " HANK_Dict[\"DiscFac\"] = beta\n", "\n", - " # For a given value of beta, we need to re-create the Agent\n", " Agent_func = NewKeynesianConsumerType(**HANK_Dict, verbose=False)\n", - "\n", - " # And then solve for the steady state supply\n", " A_ss = Agent_func.compute_steady_state()[0]\n", "\n", " return A_ss\n", @@ -403,15 +380,7 @@ "\n", "DiscFac = optimize.brentq(ss_dif, 0.8, 0.9999)\n", "\n", - "print(f\"Time taken to solve for steady state {time.time() - start:.3f} secs.\")" - ] - }, - { - "cell_type": "markdown", - "id": "01be6a8a", - "metadata": {}, - "source": [ - "We can now create the steady state agent using the general equilibrium discount factor." + "print(\"Time taken to solve for steady state\", time.time() - start)" ] }, { @@ -430,8 +399,8 @@ "source": [ "# Create a new agent\n", "HANK_Dict[\"DiscFac\"] = DiscFac\n", - "steadyHANK = NewKeynesianConsumerType(**HANK_Dict, verbose=False)\n", - "A_ss, C_ss = steadyHANK.compute_steady_state()" + "Agent_GE = NewKeynesianConsumerType(**HANK_Dict, verbose=False)\n", + "A_ss, C_ss = Agent_GE.compute_steady_state()" ] }, { @@ -457,12 +426,9 @@ } ], "source": [ - "# To make sure goods and asset markets clear\n", - "print(\n", - " \"Final goods clearing:\",\n", - " calibration[\"Y_ss\"] - C_ss - calibration[\"delta\"] * calibration[\"K_ss\"],\n", - ")\n", - "print(\"Asset clearing:\", A_ss - calibration[\"K_ss\"])" + "# to make sure goods and asset markets clear\n", + "print(\"goods_clearing\", Y_ss - C_ss - calibration[\"delta\"] * K_ss)\n", + "print(\"asset_clearing\", A_ss - K_ss)" ] }, { @@ -470,15 +436,7 @@ "id": "a8167383", "metadata": {}, "source": [ - "# Computing Jacobians using SSJ\n", - "\n", - "With the steady state agent in hand, we can compute the Jacobians of the steady state HANK agent's policy with respect to the aggregate state variables.\n", - "\n", - "The `calc_jacobian` method of our `NewKeynesianConsumerType` agent computes the Jacobians of the steady state aggregate consumption (`CJACW`) and assets (`AJACW`) with respect to a pertubation of a specified variable.\n", - "\n", - "Recall `CJACW[s,t]` is the time $t$ response to a shock at time $s$. \n", - "\n", - "Here is an example where we shock the wage rate. " + "# Computing Heterogenous Agent Jacobians" ] }, { @@ -505,9 +463,9 @@ "source": [ "start = time.time()\n", "\n", - "CJACW, AJACW = steadyHANK.calc_jacobian(\"wage\", 300) # Wage jacobians\n", + "CJACW, AJACW = Agent_GE.calc_jacobian(\"wage\", 300) # Wage jacobians\n", "\n", - "print(f\"Time taken to compute wage Jacobians: {time.time() - start:.3f} seconds\")" + "print(\"Time taken to compute jacobians\", time.time() - start)" ] }, { @@ -535,16 +493,15 @@ } ], "source": [ - "plt.plot(CJACW.T[0], label=\"s=0\")\n", - "plt.plot(CJACW.T[20], label=\"s=20\")\n", - "plt.plot(CJACW.T[50], label=\"s=50\")\n", - "plt.plot(CJACW.T[100], label=\"s=100\")\n", + "plt.plot(CJACW.T[0])\n", + "plt.plot(CJACW.T[20])\n", + "plt.plot(CJACW.T[50])\n", + "plt.plot(CJACW.T[100])\n", "plt.xlim(-2, 300)\n", "plt.plot(np.arange(300), np.zeros(300), color=\"k\")\n", - "plt.title(\"Consumption Jacobian (Wage) \")\n", - "plt.xlabel(\"Quarters\")\n", - "plt.ylabel(\"Consumption response\")\n", - "plt.legend()\n", + "plt.title(\"Consumption Jacobian Wage\")\n", + "plt.xlabel(\"quarters\")\n", + "plt.ylabel(\"C response\")\n", "plt.show()" ] }, @@ -572,19 +529,9 @@ "source": [ "start = time.time()\n", "\n", - "CJACR, AJACR = steadyHANK.calc_jacobian(\"Rfree\", 300) # Rfree jacobians\n", + "CJACR, AJACR = Agent_GE.calc_jacobian(\"Rfree\", 300) # Rfree jacobians\n", "\n", - "print(\n", - " f\"Time taken to compute return factor Jacobians: {time.time() - start:.3f} seconds\"\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "311a3a60", - "metadata": {}, - "source": [ - "Here is an example where we shock the return factor. " + "print(\"Time taken to compute jacobians\", time.time() - start)" ] }, { @@ -612,25 +559,16 @@ } ], "source": [ - "plt.plot(CJACR.T[0], label=\"s =0\")\n", - "plt.plot(CJACR.T[20], label=\"s=20\")\n", - "plt.plot(CJACR.T[50], label=\"s=50\")\n", - "plt.plot(CJACR.T[100], label=\"s=100\")\n", + "plt.plot(CJACR.T[0])\n", + "plt.plot(CJACR.T[30])\n", + "plt.plot(CJACR.T[50])\n", "plt.plot(np.arange(300), np.zeros(300), color=\"k\")\n", - "plt.title(\"Consumption Jacobian (Return Factor)\")\n", - "plt.xlabel(\"Quarters\")\n", - "plt.ylabel(\"Consumption response\")\n", + "plt.title(\"Consumption Jacobian interest rate\")\n", + "plt.xlabel(\"quarters\")\n", + "plt.ylabel(\"C response\")\n", "plt.show()" ] }, - { - "cell_type": "markdown", - "id": "c5d0b70e", - "metadata": {}, - "source": [ - "Let's store the Jacobians in a dictionary for later use." - ] - }, { "cell_type": "code", "execution_count": 18, @@ -683,7 +621,7 @@ "id": "d3669fab", "metadata": {}, "source": [ - "## Impulse Response Functions and Simulations " + "## Other Blocks of the Model" ] }, { @@ -737,7 +675,7 @@ "id": "f3d569b5", "metadata": {}, "source": [ - "### Solving for Impulse Responses" + "# Solving for Impulse Responses" ] }, { @@ -754,8 +692,8 @@ }, "outputs": [], "source": [ - "T = 300 # Length of the IRF\n", - "rho_Z = 0.8 # Persistence of IRF shock\n", + "T = 300 # <-- the length of the IRF\n", + "rho_Z = 0.8 # persistence of IRF shock\n", "dZ = 0.001 * Z_ss * rho_Z ** np.arange(T)\n", "shocks = {\"Z\": dZ}\n", "\n", @@ -763,6 +701,7 @@ "unknowns = [\"K\"]\n", "targets = [\"asset_mkt\"]\n", "\n", + "\n", "irfs_Z = ks.solve_impulse_linear(SteadyState_Dict, unknowns, targets, shocks)" ] }, @@ -784,7 +723,7 @@ " irfs_list,\n", " variables,\n", " labels=[\" \"],\n", - " ylabel=r\"Percentage point (dev. from ss)\",\n", + " ylabel=r\"Percentage points (dev. from ss)\",\n", " T_plot=50,\n", " figsize=(18, 6),\n", "):\n", @@ -795,17 +734,13 @@ " for i in range(n_var):\n", " # plot all irfs\n", " for j, irf in enumerate(irfs_list):\n", - " ax[i].plot(irf[variables[i]][:50] * 1e2, label=labels[j])\n", + " ax[i].plot(irf[variables[i]][:50], label=labels[j])\n", " ax[i].set_title(variables[i])\n", - " ax[i].set_xlabel(r\"Quarters\")\n", + " ax[i].set_xlabel(r\"$t$\")\n", " if i == 0:\n", " ax[i].set_ylabel(ylabel)\n", - " # ax[i].legend()\n", - " # ax[i].x\n", - "\n", - " plt.tight_layout()\n", - " plt.show()\n", - " # plt.savefig(\"irf.png\")" + " ax[i].legend()\n", + " plt.show()" ] }, { @@ -842,7 +777,7 @@ "id": "a0130fc3", "metadata": {}, "source": [ - "### Simulating the model" + "# Simulating the model" ] }, { @@ -894,6 +829,7 @@ "rhos = {\"Z\": 0.8}\n", "impulses = {}\n", "\n", + "\n", "for i in inputs:\n", " own_shock = {i: sigmas[i] * rhos[i] ** np.arange(T)}\n", " impulses[i] = ks.solve_impulse_linear(\n", @@ -908,6 +844,14 @@ "data_simul = simulate(list(impulses.values()), outputs, T_sim)\n", "plot_timeseries(data_simul, (1, 3), figsize=(12, 4))" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "27732edd", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/examples/ConsNewKeynesianModel/SSJ_example.ipynb b/examples/ConsNewKeynesianModel/SSJ_example.ipynb index afa8877d9..fbdbbc432 100644 --- a/examples/ConsNewKeynesianModel/SSJ_example.ipynb +++ b/examples/ConsNewKeynesianModel/SSJ_example.ipynb @@ -88,18 +88,17 @@ "outputs": [], "source": [ "# Basic scientific tools\n", - "import time\n", - "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", - "import sequence_jacobian as sj # SSJ will allow us to define blocks, models, compute IRFs, etc\n", + "import time\n", "from scipy import optimize\n", "\n", + "# HARK agents\n", + "from HARK.ConsumptionSaving.ConsNewKeynesianModel import NewKeynesianConsumerType\n", + "\n", "# Sequence space Jacobian toolkit\n", "from sequence_jacobian.classes import JacobianDict, SteadyStateDict\n", - "\n", - "# HARK agents\n", - "from HARK.ConsumptionSaving.ConsNewKeynesianModel import NewKeynesianConsumerType" + "import sequence_jacobian as sj # SSJ will allow us to define blocks, models, compute IRFs, etc" ] }, { @@ -182,8 +181,7 @@ "def calc_SS_assets_from_discfac(beta):\n", " HANK_dict[\"DiscFac\"] = beta # set the proposed discount factor\n", " TempAgent = NewKeynesianConsumerType(\n", - " **HANK_dict,\n", - " verbose=False,\n", + " **HANK_dict, verbose=False\n", " ) # make an AgentType instance\n", " A_ss = TempAgent.compute_steady_state()[0] # compute steady state assets\n", " return A_ss\n", @@ -277,17 +275,15 @@ "\n", "# Derivatives of consumption and assets wrt R\n", "dCdR, dAdR = Agent_GE.calc_jacobian(\n", - " \"Rfree\",\n", - " 300,\n", + " \"Rfree\", 300\n", ") # Jacobians of consumption and assets w.r.t. interest factor changes up to 300 periods ahead\n", "\n", "# Derivatives with respect to after-tax labor income Z\n", "dCdZ, dAdZ = Agent_GE.calc_jacobian(\n", - " \"labor\",\n", - " 300,\n", + " \"labor\", 300\n", ") # Jacobians of consumption and assets w.r.t. labor supply changes up to 300 periods ahead\n", "\n", - "print(f\"Time to compute Jacobians: {time.time() - start:.3f} seconds.\")" + "print(\"Time to compute Jacobians: {:.3f} seconds.\".format(time.time() - start))" ] }, { @@ -331,7 +327,7 @@ " r\"Change in $R$ right now\",\n", " r\"Change in $R$ 30 periods ahead\",\n", " r\"Change in $R$ 50 periods ahead\",\n", - " ],\n", + " ]\n", ")\n", "plt.xlim(-2, 120)\n", "plt.title(\"Consumption Response to Change in Interest Factor\")\n", @@ -372,7 +368,7 @@ " r\"Change in $Z$ right now\",\n", " r\"Change in $Z$ 30 periods ahead\",\n", " r\"Change in $Z$ 50 periods ahead\",\n", - " ],\n", + " ]\n", ")\n", "plt.xlim(-2, 120)\n", "plt.title(\"Consumption Response to Change in Labor Income\")\n", @@ -461,7 +457,7 @@ " \"C\": C_ss, # Consumption\n", " \"Z\": Y_ss - T_ss, # Income (post-tax)\n", " \"T\": T_ss, # Lump Sum Taxes\n", - " },\n", + " }\n", ")" ] }, @@ -511,10 +507,7 @@ "\n", "# Solve for impulse responses to gov. spending shock (balanced budget)\n", "irfs_G_lin = HANK.solve_impulse_linear(\n", - " SteadyState_dict,\n", - " unknowns_td,\n", - " targets_td,\n", - " shocks,\n", + " SteadyState_dict, unknowns_td, targets_td, shocks\n", ")" ] }, @@ -629,10 +622,7 @@ "source": [ "# Solve for impulse responses\n", "irfs_B_lin = HANK.solve_impulse_linear(\n", - " SteadyState_dict,\n", - " unknowns_td,\n", - " targets_td,\n", - " shocks_B,\n", + " SteadyState_dict, unknowns_td, targets_td, shocks_B\n", ")" ] }, @@ -718,8 +708,7 @@ "outputs": [], "source": [ "@sj.solved(\n", - " unknowns={\"C\": 1, \"A\": 1},\n", - " targets=[\"euler\", \"budget_constraint\"],\n", + " unknowns={\"C\": 1, \"A\": 1}, targets=[\"euler\", \"budget_constraint\"]\n", ") # solver=\"broyden_custom\")\n", "def hh_ra(C, A, Z, eis, beta, r):\n", " euler = (beta * (1 + r(+1))) ** (-eis) * C(+1) - C # RA euler equation\n", @@ -751,8 +740,7 @@ "source": [ "# Deep in SSJ weeds, we need this object:\n", "@sj.solved(\n", - " unknowns={\"C_RA\": 1, \"A\": 1},\n", - " targets=[\"euler\", \"budget_constraint\"],\n", + " unknowns={\"C_RA\": 1, \"A\": 1}, targets=[\"euler\", \"budget_constraint\"]\n", ") # , solver=\"broyden_custom\")\n", "\n", "# household_twoagent:\n", @@ -830,10 +818,7 @@ "\n", "# solve for steady state for RANK model\n", "ss_RANK = RANK.solve_steady_state(\n", - " calibration_ra,\n", - " unknowns_ra_ss,\n", - " targets_ra_ss,\n", - " dissolve=[\"hh_ra\"],\n", + " calibration_ra, unknowns_ra_ss, targets_ra_ss, dissolve=[\"hh_ra\"]\n", ") # solve steady state for RANK model" ] }, @@ -859,10 +844,7 @@ "\n", "# solve for steady state for TANK model\n", "ss_TANK = TANK.solve_steady_state(\n", - " calibration_ta,\n", - " unknowns_ta_ss,\n", - " targets_ra_ss,\n", - " dissolve=[\"hh_ta\"],\n", + " calibration_ta, unknowns_ta_ss, targets_ra_ss, dissolve=[\"hh_ta\"]\n", ") # solve steady state for TANK model" ] }, @@ -896,16 +878,10 @@ ], "source": [ "irfs_RANK = RANK.solve_impulse_linear(\n", - " ss_RANK,\n", - " unknowns_td,\n", - " targets_td,\n", - " shocks_B,\n", + " ss_RANK, unknowns_td, targets_td, shocks_B\n", ") # solve for impulse responses in RANK model\n", "irfs_TANK = TANK.solve_impulse_linear(\n", - " ss_TANK,\n", - " unknowns_td,\n", - " targets_td,\n", - " shocks_B,\n", + " ss_TANK, unknowns_td, targets_td, shocks_B\n", ") # solve for impulse responses in TANK model\n", "\n", "# Plot irfs of HANK, RANK, and TANK\n", @@ -962,39 +938,24 @@ "# own_shock captures AR shock process to deficit financed G spending\n", "own_shock = {\"G\": shk_std * rho_G ** np.arange(T), \"B\": dB}\n", "impulses_ha[\"ha\"] = HANK.solve_impulse_linear(\n", - " SteadyState_dict,\n", - " unknowns_td,\n", - " targets_td,\n", - " own_shock,\n", + " SteadyState_dict, unknowns_td, targets_td, own_shock\n", ") # solve impulse responses to HANK\n", "impulses_ta[\"ta\"] = TANK.solve_impulse_linear(\n", - " ss_TANK,\n", - " unknowns_td,\n", - " targets_td,\n", - " own_shock,\n", + " ss_TANK, unknowns_td, targets_td, own_shock\n", ") # solve impulse responses to TANK\n", "impulses_ra[\"ra\"] = RANK.solve_impulse_linear(\n", - " ss_RANK,\n", - " unknowns_td,\n", - " targets_td,\n", - " own_shock,\n", + " ss_RANK, unknowns_td, targets_td, own_shock\n", ") # solve impulse responses to RANK\n", "\n", "T_sim = 80 # simulate for 80 quarters\n", "data_simul_ha = simulate(\n", - " list(impulses_ha.values()),\n", - " outputs,\n", - " T_sim,\n", + " list(impulses_ha.values()), outputs, T_sim\n", ") # Simulate aggregate variables in 'outputs' in HANK\n", "data_simul_ta = simulate(\n", - " list(impulses_ta.values()),\n", - " outputs,\n", - " T_sim,\n", + " list(impulses_ta.values()), outputs, T_sim\n", ") # Simulate aggregate variables in 'outputs' in TANK\n", "data_simul_ra = simulate(\n", - " list(impulses_ra.values()),\n", - " outputs,\n", - " T_sim,\n", + " list(impulses_ra.values()), outputs, T_sim\n", ") # Simulate aggregate variables in 'outputs' in RANK" ] }, diff --git a/examples/ConsumptionSaving/example_ConsAggShockModel.ipynb b/examples/ConsumptionSaving/example_ConsAggShockModel.ipynb index cf318b973..61ca9abc0 100644 --- a/examples/ConsumptionSaving/example_ConsAggShockModel.ipynb +++ b/examples/ConsumptionSaving/example_ConsAggShockModel.ipynb @@ -34,7 +34,7 @@ " CobbDouglasEconomy,\n", " CobbDouglasMarkovEconomy,\n", ")\n", - "from HARK.distributions import DiscreteDistribution\n", + "from HARK.distribution import DiscreteDistribution\n", "from HARK.utilities import plot_funcs\n", "\n", "\n", diff --git a/examples/ConsumptionSaving/example_ConsMarkovModel.ipynb b/examples/ConsumptionSaving/example_ConsMarkovModel.ipynb index f388077cc..0f593d80d 100644 --- a/examples/ConsumptionSaving/example_ConsMarkovModel.ipynb +++ b/examples/ConsumptionSaving/example_ConsMarkovModel.ipynb @@ -22,7 +22,7 @@ " MarkovConsumerType,\n", " init_indshk_markov,\n", ")\n", - "from HARK.distributions import DiscreteDistributionLabeled\n", + "from HARK.distribution import DiscreteDistributionLabeled\n", "from HARK.utilities import plot_funcs\n", "\n", "mystr = lambda number: f\"{number:.4f}\"\n", diff --git a/examples/ConsumptionSaving/example_TractableBufferStockModel.ipynb b/examples/ConsumptionSaving/example_TractableBufferStockModel.ipynb index 7e446ebea..ccf207721 100644 --- a/examples/ConsumptionSaving/example_TractableBufferStockModel.ipynb +++ b/examples/ConsumptionSaving/example_TractableBufferStockModel.ipynb @@ -29,7 +29,7 @@ " MarkovConsumerType,\n", ")\n", "from HARK.ConsumptionSaving.TractableBufferStockModel import TractableConsumerType\n", - "from HARK.distributions import DiscreteDistributionLabeled\n", + "from HARK.distribution import DiscreteDistributionLabeled\n", "from HARK.utilities import plot_funcs # basic plotting tools\n", "\n", "do_simulation = True" diff --git a/examples/Distributions/DiscreteDistributionLabeled.ipynb b/examples/Distributions/DiscreteDistributionLabeled.ipynb index cf3a81128..8f15d6739 100644 --- a/examples/Distributions/DiscreteDistributionLabeled.ipynb +++ b/examples/Distributions/DiscreteDistributionLabeled.ipynb @@ -29,7 +29,7 @@ "source": [ "import numpy as np\n", "\n", - "from HARK.distributions import (\n", + "from HARK.distribution import (\n", " DiscreteDistributionLabeled,\n", " MeanOneLogNormal,\n", " calc_expectation,\n", @@ -652,7 +652,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We can also use `HARK.distributions.expected`.\n" + "We can also use `HARK.distribution.expected`.\n" ] }, { @@ -668,7 +668,7 @@ }, "outputs": [], "source": [ - "from HARK.distributions import expected" + "from HARK.distribution import expected" ] }, { diff --git a/examples/Distributions/EquiprobableLognormal.ipynb b/examples/Distributions/EquiprobableLognormal.ipynb index 5edb46f0b..8cf8e9b12 100644 --- a/examples/Distributions/EquiprobableLognormal.ipynb +++ b/examples/Distributions/EquiprobableLognormal.ipynb @@ -105,12 +105,11 @@ "metadata": {}, "outputs": [], "source": [ - "import matplotlib.pyplot as plt\n", + "import HARK\n", "import numpy as np\n", + "import matplotlib.pyplot as plt\n", "from matplotlib import cm\n", - "from scipy import integrate\n", - "\n", - "import HARK" + "from scipy import integrate" ] }, { @@ -129,7 +128,7 @@ "Σ = np.array([[3.0, 1.0, 2.0], [1.0, 2.0, 1.0], [2.0, 1.0, 4.0]])\n", "μ = -np.diag(Σ) / 2 # Create mean-one lognormal\n", "\n", - "X = HARK.distributions.MVLogNormal(mu=μ, Sigma=Σ)" + "X = HARK.distribution.MVLogNormal(mu=μ, Sigma=Σ)" ] }, { @@ -413,7 +412,7 @@ "Σ = np.array([[3.0, 1.0], [1.0, 2.0]])\n", "μ = -np.diag(Σ) / 2 # Create mean-one lognormal\n", "\n", - "X = HARK.distributions.MVLogNormal(mu=μ, Sigma=Σ)" + "X = HARK.distribution.MVLogNormal(mu=μ, Sigma=Σ)" ] }, { @@ -482,7 +481,7 @@ " [\n", " [np.sum(X_approx.pmv.reshape(N, N)[0:j, 0:i]) for i in range(1, N + 1)]\n", " for j in range(1, N + 1)\n", - " ],\n", + " ]\n", ")\n", "\n", "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", @@ -655,7 +654,7 @@ " [\n", " [np.sum(X_approx3.pmv.reshape(12, 12)[0:j, 0:i]) for i in range(1, N + 3)]\n", " for j in range(1, N + 3)\n", - " ],\n", + " ]\n", ")\n", "\n", "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", diff --git a/examples/Distributions/ExpectedValue.ipynb b/examples/Distributions/ExpectedValue.ipynb index d5fabafa1..844d9a92b 100644 --- a/examples/Distributions/ExpectedValue.ipynb +++ b/examples/Distributions/ExpectedValue.ipynb @@ -32,7 +32,7 @@ "\n", "import numpy as np\n", "\n", - "from HARK.distributions import (\n", + "from HARK.distribution import (\n", " MeanOneLogNormal,\n", " Normal,\n", " calc_expectation,\n", @@ -112,7 +112,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The second is to use `HARK.distributions.calc_expectation()`. Comparing the timings, the first method is significantly faster.\n" + "The second is to use `HARK.distribution.calc_expectation()`. Comparing the timings, the first method is significantly faster.\n" ] }, { @@ -188,7 +188,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Using `HARK.distributions.calc_expectation()`, we first provide the distribution and then the function.\n" + "Using `HARK.distribution.calc_expectation()`, we first provide the distribution and then the function.\n" ] }, { @@ -498,7 +498,7 @@ }, "outputs": [], "source": [ - "from HARK.distributions import expected" + "from HARK.distribution import expected" ] }, { diff --git a/examples/FrameAgentType/FrameModels.ipynb b/examples/FrameAgentType/FrameModels.ipynb index 966b15e04..cb17f224e 100644 --- a/examples/FrameAgentType/FrameModels.ipynb +++ b/examples/FrameAgentType/FrameModels.ipynb @@ -14,7 +14,7 @@ }, "outputs": [], "source": [ - "from HARK.distributions import (\n", + "from HARK.distribution import (\n", " IndexDistribution,\n", " Lognormal,\n", " MeanOneLogNormal, # Random draws for simulating agents\n", diff --git a/examples/Journeys/Journey-Policymaker.ipynb b/examples/Journeys/Journey-Policymaker.ipynb index d3ce854c2..8a8fe51c9 100644 --- a/examples/Journeys/Journey-Policymaker.ipynb +++ b/examples/Journeys/Journey-Policymaker.ipynb @@ -325,7 +325,7 @@ "metadata": {}, "source": [ "### 2.3 Simulation\n", - "After we solved the model backwards, we can simulate agents forward using Monte Carlo or [Transition Matrices](https://github.com/econ-ark/HARK/tree/master/examples/ConsNewKeynesianModel/Transition_Matrix_Example.ipynb). These results can be used for in-model regressions or plotting distributions of assets or consumption." + "After we solved the model backwards, we can simulate agents forward using Monte Carlo or [Transition Matrices](https://github.com/econ-ark/HARK/tree/master/examples/ConsIndShockModel/IndShockConsumerType_Transition_Matrix_Example.ipynb). These results can be used for in-model regressions or plotting distributions of assets or consumption." ] }, { diff --git a/examples/MonteCarlo/Generic Monte Carlo Perfect Foresight.ipynb b/examples/MonteCarlo/Generic Monte Carlo Perfect Foresight.ipynb index efd583bac..1ba3abc7a 100644 --- a/examples/MonteCarlo/Generic Monte Carlo Perfect Foresight.ipynb +++ b/examples/MonteCarlo/Generic Monte Carlo Perfect Foresight.ipynb @@ -801,7 +801,7 @@ "outputs": [], "source": [ "import HARK.models.perfect_foresight_normalized as pfn\n", - "from HARK.distributions import Lognormal\n", + "from HARK.distribution import Lognormal\n", "from HARK.simulation.monte_carlo import AgentTypeMonteCarloSimulator" ] }, @@ -821,7 +821,7 @@ { "data": { "text/plain": [ - "DBlock(name='', description='', shocks={'live': }, dynamics={'p': at 0x7f39a5da56c0>, 'r_eff': at 0x7f39a2a97740>, 'b_nrm': at 0x7f39a2a977e0>, 'm_nrm': at 0x7f39a2a97880>, 'c_nrm': , 'a_nrm': at 0x7f39a2a97920>}, reward={'u': at 0x7f39a2a979c0>})" + "DBlock(name='', description='', shocks={'live': }, dynamics={'p': at 0x7f39a5da56c0>, 'r_eff': at 0x7f39a2a97740>, 'b_nrm': at 0x7f39a2a977e0>, 'm_nrm': at 0x7f39a2a97880>, 'c_nrm': , 'a_nrm': at 0x7f39a2a97920>}, reward={'u': at 0x7f39a2a979c0>})" ] }, "execution_count": 12, From 383d2c9e0caaabaefbb676aa73912581182fef1c Mon Sep 17 00:00:00 2001 From: Alan Lujan Date: Thu, 7 Nov 2024 14:46:32 -0500 Subject: [PATCH 3/9] match upstream --- HARK/ConsumptionSaving/ConsBequestModel.py | 14 +- HARK/ConsumptionSaving/ConsIndShockModel.py | 2 +- .../ConsWealthPortfolioModel.py | 157 ++++++++- binder/postBuild | 10 - binder/postBuild.bat | 3 - binder/requirements.txt | 8 +- .../KS-HARK-presentation.ipynb | 318 ++++++++++-------- examples/Journeys/Journey-Policymaker.ipynb | 2 +- 8 files changed, 342 insertions(+), 172 deletions(-) delete mode 100755 binder/postBuild delete mode 100644 binder/postBuild.bat diff --git a/HARK/ConsumptionSaving/ConsBequestModel.py b/HARK/ConsumptionSaving/ConsBequestModel.py index 4a265341a..f0bbeb801 100644 --- a/HARK/ConsumptionSaving/ConsBequestModel.py +++ b/HARK/ConsumptionSaving/ConsBequestModel.py @@ -273,12 +273,8 @@ def make_warmglow_portfolio_solution_terminal( class BequestWarmGlowConsumerType(IndShockConsumerType): r""" - A consumer type with idiosyncratic shocks to permanent and transitory income. - Their problem is defined by a sequence of income distributions, survival probabilities - (:math:`1-\mathsf{D}`), and permanent income growth rates (:math:`\Gamma`), as well - as time invariant values for risk aversion (:math:`\rho`), discount factor (:math:`\beta`), - the interest rate (:math:`\mathsf{R}`), the grid of end-of-period assets, and an artificial - borrowing constraint (:math:`\underline{a}`). + A consumer type with based on IndShockConsumerType, with an additional bequest motive. + They gain utility for any wealth they leave when they die, according to a Stone-Geary utility. .. math:: \newcommand{\CRRA}{\rho} @@ -295,7 +291,7 @@ class BequestWarmGlowConsumerType(IndShockConsumerType): (\psi_{t+1},\theta_{t+1}) &\sim F_{t+1}, \\ \mathbb{E}[\psi]=\mathbb{E}[\theta] &= 1, \\ u(c) &= \frac{c^{1-\CRRA}}{1-\CRRA} \\ - u_{Beq} (a) = \textbf{BeqFac} \frac{(a+\textbf{BeqShift})^{1-\CRRA_{Beq}}}{1-\CRRA_{Beq}} + u_{Beq} (a) &= \textbf{BeqFac} \frac{(a+\textbf{BeqShift})^{1-\CRRA_{Beq}}}{1-\CRRA_{Beq}} \\ \end{align*} @@ -1277,7 +1273,7 @@ def calc_EndOfPrd_v(S, a, z): class BequestWarmGlowPortfolioType(PortfolioConsumerType): r""" - A consumer type with based on IndShockConsumerType, with an additional bequest motive. + A consumer type with based on PortfolioConsumerType, with an additional bequest motive. They gain utility for any wealth they leave when they die, according to a Stone-Geary utility. .. math:: @@ -1300,7 +1296,7 @@ class BequestWarmGlowPortfolioType(PortfolioConsumerType): (\psi_{t+1},\theta_{t+1},\phi_{t+1},p_t) &\sim F_{t+1}, \\ \mathbb{E}[\psi]=\mathbb{E}[\theta] &= 1. \\ u(c) &= \frac{c^{1-\CRRA}}{1-\CRRA} \\ - u_{Beq} (a) = \textbf{BeqFac} \frac{(a+\textbf{BeqShift})^{1-\CRRA_{Beq}}}{1-\CRRA_{Beq}} + u_{Beq} (a) &= \textbf{BeqFac} \frac{(a+\textbf{BeqShift})^{1-\CRRA_{Beq}}}{1-\CRRA_{Beq}} \\ \end{align*} diff --git a/HARK/ConsumptionSaving/ConsIndShockModel.py b/HARK/ConsumptionSaving/ConsIndShockModel.py index f3146c4c1..098c51ed5 100644 --- a/HARK/ConsumptionSaving/ConsIndShockModel.py +++ b/HARK/ConsumptionSaving/ConsIndShockModel.py @@ -2798,7 +2798,7 @@ class KinkedRconsumerType(IndShockConsumerType): \end{cases}\\ \Rfree_{boro} &> \Rfree_{save}, \\ (\psi_{t+1},\theta_{t+1}) &\sim F_{t+1}, \\ - \mathbb{E}[\psi]=\mathbb{E}[\theta] &= 1. + \mathbb{E}[\psi]=\mathbb{E}[\theta] &= 1.\\ u(c) &= \frac{c^{1-\CRRA}}{1-\CRRA} \\ \end{align*} diff --git a/HARK/ConsumptionSaving/ConsWealthPortfolioModel.py b/HARK/ConsumptionSaving/ConsWealthPortfolioModel.py index a42686c5d..f8937d40f 100644 --- a/HARK/ConsumptionSaving/ConsWealthPortfolioModel.py +++ b/HARK/ConsumptionSaving/ConsWealthPortfolioModel.py @@ -3,8 +3,8 @@ import numpy as np from HARK.ConsumptionSaving.ConsPortfolioModel import ( PortfolioConsumerType, - init_portfolio, PortfolioSolution, + make_portfolio_solution_terminal, ) from HARK.distribution import expected from HARK.interpolation import ( @@ -14,11 +14,22 @@ MargValueFuncCRRA, ValueFuncCRRA, ) +from HARK.Calibration.Assets.AssetProcesses import ( + make_lognormal_RiskyDstn, + combine_IncShkDstn_and_RiskyDstn, + calc_ShareLimit_for_CRRA, +) +from HARK.Calibration.Income.IncomeProcesses import ( + construct_lognormal_income_process_unemployment, + get_PermShkDstn_from_IncShkDstn, + get_TranShkDstn_from_IncShkDstn, +) +from HARK.ConsumptionSaving.ConsRiskyAssetModel import ( + make_simple_ShareGrid, +) from HARK.rewards import UtilityFuncCRRA -from HARK.utilities import NullFunc +from HARK.utilities import NullFunc, make_assets_grid - -import numpy as np from HARK.interpolation import LinearInterp @@ -100,6 +111,129 @@ def __call__(self, omega): return np.nan_to_num(chi) +# Trivial constructor function +def make_ChiFromOmega_function(CRRA, WealthShare, ChiFromOmega_N, ChiFromOmega_bound): + return ChiFromOmegaFunction( + CRRA, WealthShare, N=ChiFromOmega_N, z_bound=ChiFromOmega_bound + ) + + +############################################################################### + +# Make a dictionary of constructors for the wealth-in-utility portfolio choice consumer type +WealthPortfolioConsumerType_constructors_default = { + "IncShkDstn": construct_lognormal_income_process_unemployment, + "PermShkDstn": get_PermShkDstn_from_IncShkDstn, + "TranShkDstn": get_TranShkDstn_from_IncShkDstn, + "aXtraGrid": make_assets_grid, + "RiskyDstn": make_lognormal_RiskyDstn, + "ShockDstn": combine_IncShkDstn_and_RiskyDstn, + "ShareLimit": calc_ShareLimit_for_CRRA, + "ShareGrid": make_simple_ShareGrid, + "ChiFunc": make_ChiFromOmega_function, + "solution_terminal": make_portfolio_solution_terminal, +} + +# Default parameters to make IncShkDstn using construct_lognormal_income_process_unemployment +WealthPortfolioConsumerType_IncShkDstn_default = { + "PermShkStd": [0.1], # Standard deviation of log permanent income shocks + "PermShkCount": 7, # Number of points in discrete approximation to permanent income shocks + "TranShkStd": [0.1], # Standard deviation of log transitory income shocks + "TranShkCount": 7, # Number of points in discrete approximation to transitory income shocks + "UnempPrb": 0.05, # Probability of unemployment while working + "IncUnemp": 0.3, # Unemployment benefits replacement rate while working + "T_retire": 0, # Period of retirement (0 --> no retirement) + "UnempPrbRet": 0.005, # Probability of "unemployment" while retired + "IncUnempRet": 0.0, # "Unemployment" benefits when retired +} + +# Default parameters to make aXtraGrid using make_assets_grid +WealthPortfolioConsumerType_aXtraGrid_default = { + "aXtraMin": 0.001, # Minimum end-of-period "assets above minimum" value + "aXtraMax": 100, # Maximum end-of-period "assets above minimum" value + "aXtraNestFac": 1, # Exponential nesting factor for aXtraGrid + "aXtraCount": 200, # Number of points in the grid of "assets above minimum" + "aXtraExtra": None, # Additional other values to add in grid (optional) +} + +# Default parameters to make RiskyDstn with make_lognormal_RiskyDstn (and uniform ShareGrid) +WealthPortfolioConsumerType_RiskyDstn_default = { + "RiskyAvg": 1.08, # Mean return factor of risky asset + "RiskyStd": 0.18362634887, # Stdev of log returns on risky asset + "RiskyCount": 5, # Number of integration nodes to use in approximation of risky returns +} + +WealthPortfolioConsumerType_ShareGrid_default = { + "ShareCount": 25 # Number of discrete points in the risky share approximation +} + +# Default parameters to make ChiFunc with make_ChiFromOmega_function +WealthPortfolioConsumerType_ChiFunc_default = { + "ChiFromOmega_N": 501, # Number of gridpoints in chi-from-omega function + "ChiFromOmega_bound": 15, # Highest gridpoint to use for it +} + +# Make a dictionary to specify a risky asset consumer type +WealthPortfolioConsumerType_solving_default = { + # BASIC HARK PARAMETERS REQUIRED TO SOLVE THE MODEL + "cycles": 1, # Finite, non-cyclic model + "T_cycle": 1, # Number of periods in the cycle for this agent type + "constructors": WealthPortfolioConsumerType_constructors_default, # See dictionary above + # PRIMITIVE RAW PARAMETERS REQUIRED TO SOLVE THE MODEL + "CRRA": 5.0, # Coefficient of relative risk aversion + "Rfree": 1.03, # Return factor on risk free asset + "DiscFac": 0.90, # Intertemporal discount factor + "LivPrb": [0.98], # Survival probability after each period + "PermGroFac": [1.01], # Permanent income growth factor + "BoroCnstArt": 0.0, # Artificial borrowing constraint + "WealthShare": 0.5, # Share of wealth in Cobb-Douglas aggregator in utility function + "WealthShift": 0.1, # Shifter for wealth in utility function + "DiscreteShareBool": False, # Whether risky asset share is restricted to discrete values + "vFuncBool": False, # Whether to calculate the value function during solution + "CubicBool": False, # Whether to use cubic spline interpolation when True + # (Uses linear spline interpolation for cFunc when False) + "AdjustPrb": 1.0, # Probability that the agent can update their risky portfolio share each period + "sim_common_Rrisky": True, # Whether risky returns have a shared/common value across agents +} +WealthPortfolioConsumerType_simulation_default = { + # PARAMETERS REQUIRED TO SIMULATE THE MODEL + "AgentCount": 10000, # Number of agents of this type + "T_age": None, # Age after which simulated agents are automatically killed + "aNrmInitMean": 0.0, # Mean of log initial assets + "aNrmInitStd": 1.0, # Standard deviation of log initial assets + "pLvlInitMean": 0.0, # Mean of log initial permanent income + "pLvlInitStd": 0.0, # Standard deviation of log initial permanent income + "PermGroFacAgg": 1.0, # Aggregate permanent income growth factor + # (The portion of PermGroFac attributable to aggregate productivity growth) + "NewbornTransShk": False, # Whether Newborns have transitory shock + # ADDITIONAL OPTIONAL PARAMETERS + "PerfMITShk": False, # Do Perfect Foresight MIT Shock + # (Forces Newborns to follow solution path of the agent they replaced if True) + "neutral_measure": False, # Whether to use permanent income neutral measure (see Harmenberg 2021) +} + +# Assemble the default dictionary +WealthPortfolioConsumerType_default = {} +WealthPortfolioConsumerType_default.update(WealthPortfolioConsumerType_solving_default) +WealthPortfolioConsumerType_default.update( + WealthPortfolioConsumerType_simulation_default +) +WealthPortfolioConsumerType_default.update( + WealthPortfolioConsumerType_aXtraGrid_default +) +WealthPortfolioConsumerType_default.update( + WealthPortfolioConsumerType_ShareGrid_default +) +WealthPortfolioConsumerType_default.update( + WealthPortfolioConsumerType_IncShkDstn_default +) +WealthPortfolioConsumerType_default.update( + WealthPortfolioConsumerType_RiskyDstn_default +) +WealthPortfolioConsumerType_default.update(WealthPortfolioConsumerType_ChiFunc_default) +init_wealth_portfolio = WealthPortfolioConsumerType_default + + class WealthPortfolioConsumerType(PortfolioConsumerType): time_inv_ = deepcopy(PortfolioConsumerType.time_inv_) time_inv_ = time_inv_ + ["WealthShare", "WealthShift", "ChiFunc"] @@ -114,10 +248,18 @@ def __init__(self, **kwds): self.solve_one_period = solve_one_period_WealthPortfolio + def update(self): + super().update() + self.update_ChiFunc() + + def update_ChiFunc(self): if self.WealthShare == 0.0: self.ChiFunc = None else: - self.ChiFunc = ChiFromOmegaFunction(self.CRRA, self.WealthShare) + self.construct("ChiFunc") + + +############################################################################### def utility(c, a, CRRA, share=0.0, intercept=0.0): @@ -502,8 +644,3 @@ def solve_one_period_WealthPortfolio( vFuncAdj=vFuncNow, ) return solution_now - - -init_wealth_portfolio = init_portfolio.copy() -init_wealth_portfolio["WealthShare"] = 0.5 -init_wealth_portfolio["WealthShift"] = 0.1 diff --git a/binder/postBuild b/binder/postBuild deleted file mode 100755 index 4e4b22864..000000000 --- a/binder/postBuild +++ /dev/null @@ -1,10 +0,0 @@ -#!/bin/sh -jupyter contrib nbextension install --user -jupyter nbextension enable codefolding/main -python -m cite2c.install -result=$(python < no retirement)\n", - " # Parameters for constructing the \"assets above minimum\" grid\n", + " # Aggregates affecting the agent's decision\n", + " \"Rfree\": (1 + r_ss), # Interest factor for assets faced by agents\n", + " \"wage\": [w_ss], # Wage rate faced by agents\n", + " \"tax_rate\": [\n", + " 0\n", + " ], # set to 0.0 because we are going to assume that labor here is actually after tax income\n", + " \"labor\": [L_ss], # Aggregate (mean) labor supply\n", + " # Parameters for constructing \"assets above minimum\" grid\n", " \"aXtraMin\": 0.0001, # Minimum end-of-period \"assets above minimum\" value\n", " \"aXtraMax\": 2000, # Maximum end-of-period \"assets above minimum\" value\n", " \"aXtraCount\": 200, # Number of points in the base grid of \"assets above minimum\"\n", " # Exponential nesting factor when constructing \"assets above minimum\" grid\n", " \"aXtraNestFac\": 3,\n", " \"aXtraExtra\": None, # Additional values to add to aXtraGrid\n", - " # Transition Matrix simulation parameters\n", + " # Transition matrix simulation parameters\n", " \"mCount\": 200,\n", " \"mMax\": 2000,\n", " \"mMin\": 0.0001,\n", @@ -309,7 +311,7 @@ "id": "3be9593e", "metadata": {}, "source": [ - "# Create HARK agent" + "Let's create a temporary instance of a `NewKeynesianConsumerType` agent." ] }, { @@ -326,7 +328,7 @@ }, "outputs": [], "source": [ - "Agent = NewKeynesianConsumerType(**HANK_Dict)" + "tempAgent = NewKeynesianConsumerType(**HANK_Dict)" ] }, { @@ -334,10 +336,28 @@ "id": "fa266888", "metadata": {}, "source": [ - "# Find Steady state discount factor clear asset market\n", + "Given a discount factor, the agent will supply a steady state capital stock `A_ss`." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ebe1792e", + "metadata": {}, + "outputs": [], + "source": [ + "A_ss = tempAgent.compute_steady_state()[0]\n", + "print(f\"Steady state agent asset supply for beta = 0.98 is: {A_ss:.3f}\")" + ] + }, + { + "cell_type": "markdown", + "id": "911805ab", + "metadata": {}, + "source": [ + "### Steady State Assets \n", "\n", - "We will estimate the discount factor to ensure that asset supply equals the steady state capital we found earlier. \n", - "\n" + "Since we are interested in computing a steady state equilibrium, we find `discFac` such that `A_ss` clears the asset market given that `K_ss` is the steady state firm capital demand. " ] }, { @@ -365,7 +385,10 @@ "def A_ss_func(beta):\n", " HANK_Dict[\"DiscFac\"] = beta\n", "\n", + " # For a given value of beta, we need to re-create the Agent\n", " Agent_func = NewKeynesianConsumerType(**HANK_Dict, verbose=False)\n", + "\n", + " # And then solve for the steady state supply\n", " A_ss = Agent_func.compute_steady_state()[0]\n", "\n", " return A_ss\n", @@ -380,7 +403,15 @@ "\n", "DiscFac = optimize.brentq(ss_dif, 0.8, 0.9999)\n", "\n", - "print(\"Time taken to solve for steady state\", time.time() - start)" + "print(f\"Time taken to solve for steady state {time.time() - start:.3f} secs.\")" + ] + }, + { + "cell_type": "markdown", + "id": "01be6a8a", + "metadata": {}, + "source": [ + "We can now create the steady state agent using the general equilibrium discount factor." ] }, { @@ -399,8 +430,8 @@ "source": [ "# Create a new agent\n", "HANK_Dict[\"DiscFac\"] = DiscFac\n", - "Agent_GE = NewKeynesianConsumerType(**HANK_Dict, verbose=False)\n", - "A_ss, C_ss = Agent_GE.compute_steady_state()" + "steadyHANK = NewKeynesianConsumerType(**HANK_Dict, verbose=False)\n", + "A_ss, C_ss = steadyHANK.compute_steady_state()" ] }, { @@ -426,9 +457,12 @@ } ], "source": [ - "# to make sure goods and asset markets clear\n", - "print(\"goods_clearing\", Y_ss - C_ss - calibration[\"delta\"] * K_ss)\n", - "print(\"asset_clearing\", A_ss - K_ss)" + "# To make sure goods and asset markets clear\n", + "print(\n", + " \"Final goods clearing:\",\n", + " calibration[\"Y_ss\"] - C_ss - calibration[\"delta\"] * calibration[\"K_ss\"],\n", + ")\n", + "print(\"Asset clearing:\", A_ss - calibration[\"K_ss\"])" ] }, { @@ -436,7 +470,15 @@ "id": "a8167383", "metadata": {}, "source": [ - "# Computing Heterogenous Agent Jacobians" + "# Computing Jacobians using SSJ\n", + "\n", + "With the steady state agent in hand, we can compute the Jacobians of the steady state HANK agent's policy with respect to the aggregate state variables.\n", + "\n", + "The `calc_jacobian` method of our `NewKeynesianConsumerType` agent computes the Jacobians of the steady state aggregate consumption (`CJACW`) and assets (`AJACW`) with respect to a pertubation of a specified variable.\n", + "\n", + "Recall `CJACW[s,t]` is the time $t$ response to a shock at time $s$. \n", + "\n", + "Here is an example where we shock the wage rate. " ] }, { @@ -463,9 +505,9 @@ "source": [ "start = time.time()\n", "\n", - "CJACW, AJACW = Agent_GE.calc_jacobian(\"wage\", 300) # Wage jacobians\n", + "CJACW, AJACW = steadyHANK.calc_jacobian(\"wage\", 300) # Wage jacobians\n", "\n", - "print(\"Time taken to compute jacobians\", time.time() - start)" + "print(f\"Time taken to compute wage Jacobians: {time.time() - start:.3f} seconds\")" ] }, { @@ -493,15 +535,16 @@ } ], "source": [ - "plt.plot(CJACW.T[0])\n", - "plt.plot(CJACW.T[20])\n", - "plt.plot(CJACW.T[50])\n", - "plt.plot(CJACW.T[100])\n", + "plt.plot(CJACW.T[0], label=\"s=0\")\n", + "plt.plot(CJACW.T[20], label=\"s=20\")\n", + "plt.plot(CJACW.T[50], label=\"s=50\")\n", + "plt.plot(CJACW.T[100], label=\"s=100\")\n", "plt.xlim(-2, 300)\n", "plt.plot(np.arange(300), np.zeros(300), color=\"k\")\n", - "plt.title(\"Consumption Jacobian Wage\")\n", - "plt.xlabel(\"quarters\")\n", - "plt.ylabel(\"C response\")\n", + "plt.title(\"Consumption Jacobian (Wage) \")\n", + "plt.xlabel(\"Quarters\")\n", + "plt.ylabel(\"Consumption response\")\n", + "plt.legend()\n", "plt.show()" ] }, @@ -529,9 +572,19 @@ "source": [ "start = time.time()\n", "\n", - "CJACR, AJACR = Agent_GE.calc_jacobian(\"Rfree\", 300) # Rfree jacobians\n", + "CJACR, AJACR = steadyHANK.calc_jacobian(\"Rfree\", 300) # Rfree jacobians\n", "\n", - "print(\"Time taken to compute jacobians\", time.time() - start)" + "print(\n", + " f\"Time taken to compute return factor Jacobians: {time.time() - start:.3f} seconds\"\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "311a3a60", + "metadata": {}, + "source": [ + "Here is an example where we shock the return factor. " ] }, { @@ -559,16 +612,25 @@ } ], "source": [ - "plt.plot(CJACR.T[0])\n", - "plt.plot(CJACR.T[30])\n", - "plt.plot(CJACR.T[50])\n", + "plt.plot(CJACR.T[0], label=\"s =0\")\n", + "plt.plot(CJACR.T[20], label=\"s=20\")\n", + "plt.plot(CJACR.T[50], label=\"s=50\")\n", + "plt.plot(CJACR.T[100], label=\"s=100\")\n", "plt.plot(np.arange(300), np.zeros(300), color=\"k\")\n", - "plt.title(\"Consumption Jacobian interest rate\")\n", - "plt.xlabel(\"quarters\")\n", - "plt.ylabel(\"C response\")\n", + "plt.title(\"Consumption Jacobian (Return Factor)\")\n", + "plt.xlabel(\"Quarters\")\n", + "plt.ylabel(\"Consumption response\")\n", "plt.show()" ] }, + { + "cell_type": "markdown", + "id": "c5d0b70e", + "metadata": {}, + "source": [ + "Let's store the Jacobians in a dictionary for later use." + ] + }, { "cell_type": "code", "execution_count": 18, @@ -621,7 +683,7 @@ "id": "d3669fab", "metadata": {}, "source": [ - "## Other Blocks of the Model" + "## Impulse Response Functions and Simulations " ] }, { @@ -675,7 +737,7 @@ "id": "f3d569b5", "metadata": {}, "source": [ - "# Solving for Impulse Responses" + "### Solving for Impulse Responses" ] }, { @@ -692,8 +754,8 @@ }, "outputs": [], "source": [ - "T = 300 # <-- the length of the IRF\n", - "rho_Z = 0.8 # persistence of IRF shock\n", + "T = 300 # Length of the IRF\n", + "rho_Z = 0.8 # Persistence of IRF shock\n", "dZ = 0.001 * Z_ss * rho_Z ** np.arange(T)\n", "shocks = {\"Z\": dZ}\n", "\n", @@ -701,7 +763,6 @@ "unknowns = [\"K\"]\n", "targets = [\"asset_mkt\"]\n", "\n", - "\n", "irfs_Z = ks.solve_impulse_linear(SteadyState_Dict, unknowns, targets, shocks)" ] }, @@ -723,7 +784,7 @@ " irfs_list,\n", " variables,\n", " labels=[\" \"],\n", - " ylabel=r\"Percentage points (dev. from ss)\",\n", + " ylabel=r\"Percentage point (dev. from ss)\",\n", " T_plot=50,\n", " figsize=(18, 6),\n", "):\n", @@ -734,13 +795,17 @@ " for i in range(n_var):\n", " # plot all irfs\n", " for j, irf in enumerate(irfs_list):\n", - " ax[i].plot(irf[variables[i]][:50], label=labels[j])\n", + " ax[i].plot(irf[variables[i]][:50] * 1e2, label=labels[j])\n", " ax[i].set_title(variables[i])\n", - " ax[i].set_xlabel(r\"$t$\")\n", + " ax[i].set_xlabel(r\"Quarters\")\n", " if i == 0:\n", " ax[i].set_ylabel(ylabel)\n", - " ax[i].legend()\n", - " plt.show()" + " # ax[i].legend()\n", + " # ax[i].x\n", + "\n", + " plt.tight_layout()\n", + " plt.show()\n", + " # plt.savefig(\"irf.png\")" ] }, { @@ -777,7 +842,7 @@ "id": "a0130fc3", "metadata": {}, "source": [ - "# Simulating the model" + "### Simulating the model" ] }, { @@ -829,7 +894,6 @@ "rhos = {\"Z\": 0.8}\n", "impulses = {}\n", "\n", - "\n", "for i in inputs:\n", " own_shock = {i: sigmas[i] * rhos[i] ** np.arange(T)}\n", " impulses[i] = ks.solve_impulse_linear(\n", @@ -844,14 +908,6 @@ "data_simul = simulate(list(impulses.values()), outputs, T_sim)\n", "plot_timeseries(data_simul, (1, 3), figsize=(12, 4))" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "27732edd", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/examples/Journeys/Journey-Policymaker.ipynb b/examples/Journeys/Journey-Policymaker.ipynb index 8a8fe51c9..d3ce854c2 100644 --- a/examples/Journeys/Journey-Policymaker.ipynb +++ b/examples/Journeys/Journey-Policymaker.ipynb @@ -325,7 +325,7 @@ "metadata": {}, "source": [ "### 2.3 Simulation\n", - "After we solved the model backwards, we can simulate agents forward using Monte Carlo or [Transition Matrices](https://github.com/econ-ark/HARK/tree/master/examples/ConsIndShockModel/IndShockConsumerType_Transition_Matrix_Example.ipynb). These results can be used for in-model regressions or plotting distributions of assets or consumption." + "After we solved the model backwards, we can simulate agents forward using Monte Carlo or [Transition Matrices](https://github.com/econ-ark/HARK/tree/master/examples/ConsNewKeynesianModel/Transition_Matrix_Example.ipynb). These results can be used for in-model regressions or plotting distributions of assets or consumption." ] }, { From 470a9bc6600f1d143129e9de2fd8656e0f16e1ff Mon Sep 17 00:00:00 2001 From: Alan Lujan Date: Thu, 7 Nov 2024 14:47:28 -0500 Subject: [PATCH 4/9] delete distribution file --- HARK/distribution.py | 2469 ------------------------------------------ 1 file changed, 2469 deletions(-) delete mode 100644 HARK/distribution.py diff --git a/HARK/distribution.py b/HARK/distribution.py deleted file mode 100644 index 274765b2d..000000000 --- a/HARK/distribution.py +++ /dev/null @@ -1,2469 +0,0 @@ -import math -from itertools import product -from typing import Any, Callable, Dict, List, Optional, Union -from warnings import warn - -from copy import deepcopy -import numpy as np -import xarray as xr -from numpy import random, linalg -from scipy import stats -from scipy.stats import rv_continuous, rv_discrete -from scipy.stats._distn_infrastructure import rv_continuous_frozen, rv_discrete_frozen -from scipy.stats._multivariate import multivariate_normal_frozen, multi_rv_frozen -from scipy import special - - -class Distribution: - """ - Base class for all probability distributions - with seed and random number generator. - - For discussion on random number generation and random seeds, see - https://docs.scipy.org/doc/scipy/tutorial/stats.html#random-number-generation - - Parameters - ---------- - seed : Optional[int] - Seed for random number generator. - """ - - def __init__(self, seed: Optional[int] = 0) -> None: - """ - Generic distribution class with seed management. - - Parameters - ---------- - seed : Optional[int], optional - Seed for random number generator, by default None - generates random seed based on entropy. - - Raises - ------ - ValueError - Seed must be an integer type. - """ - if seed is None: - # generate random seed - _seed: int = random.SeedSequence().entropy - elif isinstance(seed, (int, np.integer)): - _seed = seed - else: - raise ValueError("seed must be an integer") - - self._seed: int = _seed - self._rng: random.Generator = random.default_rng(self._seed) - - @property - def seed(self) -> int: - """ - Seed for random number generator. - - Returns - ------- - int - Seed. - """ - return self._seed # type: ignore - - @seed.setter - def seed(self, seed: int) -> None: - """ - Set seed for random number generator. - - Parameters - ---------- - seed : int - Seed for random number generator. - """ - - if isinstance(seed, (int, np.integer)): - self._seed = seed - self._rng = random.default_rng(seed) - else: - raise ValueError("seed must be an integer") - - def reset(self) -> None: - """ - Reset the random number generator of this distribution. - Resetting the seed will result in the same sequence of - random numbers being generated. - - Parameters - ---------- - """ - self._rng = random.default_rng(self.seed) - - def random_seed(self) -> None: - """ - Generate a new random seed for this distribution. - """ - self.seed = random.SeedSequence().entropy - - def draw(self, N: int) -> np.ndarray: - """ - Generate arrays of draws from this distribution. - If input N is a number, output is a length N array of draws from the - distribution. If N is a list, output is a length T list whose - t-th entry is a length N array of draws from the distribution[t]. - - Parameters - ---------- - N : int - Number of draws in each row. - - Returns: - ------------ - draws : np.array or [np.array] - T-length list of arrays of random variable draws each of size n, or - a single array of size N (if sigma is a scalar). - """ - - mean = self.mean() if callable(self.mean) else self.mean - size = (N, mean.size) if mean.size != 1 else N - return self.rvs(size=size, random_state=self._rng) - - def discretize( - self, N: int, method: str = "equiprobable", endpoints: bool = False, **kwds: Any - ) -> "DiscreteDistribution": - """ - Discretize the distribution into N points using the specified method. - - Parameters - ---------- - N : int - Number of points in the discretization. - method : str, optional - Method for discretization, by default "equiprobable" - endpoints : bool, optional - Whether to include endpoints in the discretization, by default False - - Returns - ------- - DiscreteDistribution - Discretized distribution. - - Raises - ------ - NotImplementedError - If method is not implemented for this distribution. - """ - - approx_method = "_approx_" + method - - if not hasattr(self, approx_method): - raise NotImplementedError( - "discretize() with method = {} not implemented for {} class".format( - method, self.__class__.__name__ - ) - ) - - approx = getattr(self, approx_method) - return approx(N, endpoints, **kwds) - - -# CONTINUOUS DISTRIBUTIONS - - -class ContinuousFrozenDistribution(rv_continuous_frozen, Distribution): - """ - Parameterized continuous distribution from scipy.stats with seed management. - """ - - def __init__( - self, dist: rv_continuous, *args: Any, seed: int = 0, **kwds: Any - ) -> None: - """ - Parameterized continuous distribution from scipy.stats with seed management. - - Parameters - ---------- - dist : rv_continuous - Continuous distribution from scipy.stats. - seed : int, optional - Seed for random number generator, by default 0 - """ - rv_continuous_frozen.__init__(self, dist, *args, **kwds) - Distribution.__init__(self, seed=seed) - - -class Normal(ContinuousFrozenDistribution): - """ - A Normal distribution. - - Parameters - ---------- - mu : float or [float] - One or more means. Number of elements T in mu determines number - of rows of output. - sigma : float or [float] - One or more standard deviations. Number of elements T in sigma - determines number of rows of output. - seed : int - Seed for random number generator. - """ - - def __init__(self, mu=0.0, sigma=1.0, seed=0): - self.mu = np.asarray(mu) - self.sigma = np.asarray(sigma) - - if self.mu.size != self.sigma.size: - raise AttributeError( - "mu and sigma must be of same size, are %s, %s" - % ((self.mu.size), (self.sigma.size)) - ) - - super().__init__(stats.norm, loc=mu, scale=sigma, seed=seed) - - def discretize(self, N, method="hermite", endpoints=False): - """ - For normal distributions, the Gauss-Hermite quadrature rule is - used as the default method for discretization. - """ - - return super().discretize(N, method, endpoints) - - def _approx_hermite(self, N, endpoints=False): - """ - Returns a discrete approximation of this distribution - using the Gauss-Hermite quadrature rule. - - TODO: add endpoints option - - Parameters - ---------- - N : int - Number of discrete points to approximate the distribution. - - Returns - ------- - DiscreteDistribution - Discrete approximation of this distribution. - """ - - x, w = np.polynomial.hermite.hermgauss(N) - # normalize w - pmv = w * np.pi**-0.5 - # correct x - atoms = math.sqrt(2.0) * self.sigma * x + self.mu - - limit = {"dist": self, "method": "hermite", "N": N, "endpoints": endpoints} - - return DiscreteDistribution( - pmv, - atoms, - seed=self._rng.integers(0, 2**31 - 1, dtype="int32"), - limit=limit, - ) - - def _approx_equiprobable(self, N, endpoints=False): - """ - Returns a discrete equiprobable approximation of this distribution. - - TODO: add endpoints option - - Parameters - ---------- - N : int - Number of discrete points to approximate the distribution. - - Returns - ------- - DiscreteDistribution - Discrete approximation of this distribution. - """ - - CDF = np.linspace(0, 1, N + 1) - lims = stats.norm.ppf(CDF) - pdf = stats.norm.pdf(lims) - - # Find conditional means using Mills's ratio - pmv = np.diff(CDF) - atoms = self.mu - np.diff(pdf) / pmv * self.sigma - - limit = {"dist": self, "method": "equiprobable", "N": N, "endpoints": endpoints} - - return DiscreteDistribution( - pmv, - atoms, - seed=self._rng.integers(0, 2**31 - 1, dtype="int32"), - limit=limit, - ) - - -class Lognormal(ContinuousFrozenDistribution): - """ - A Lognormal distribution - - Parameters - ---------- - mu : float or [float] - One or more means of underlying normal distribution. - Number of elements T in mu determines number of rows of output. - sigma : float or [float] - One or more standard deviations of underlying normal distribution. - Number of elements T in sigma determines number of rows of output. - seed : int - Seed for random number generator. - """ - - def __new__( - cls, - mu: Union[float, np.ndarray] = 0.0, - sigma: Union[float, np.ndarray] = 1.0, - seed: Optional[int] = 0, - mean=None, - std=None, - ): - """ - Create a new Lognormal distribution. If sigma is zero, return a - DiscreteDistribution with a single atom at exp(mu). - - Parameters - ---------- - mu : Union[float, np.ndarray], optional - Mean of underlying normal distribution, by default 0.0 - sigma : Union[float, np.ndarray], optional - Standard deviation of underlying normal distribution, by default 1.0 - seed : Optional[int], optional - Seed for random number generator, by default None - mean: optional - For alternative mean/std parameterization, the mean of the lognormal distribution - std: optional - For alternative mean/std parameterization, the standard deviation of the lognormal distribution - - Returns - ------- - Lognormal or DiscreteDistribution - Lognormal distribution or DiscreteDistribution with a single atom. - """ - - if sigma == 0: - # If sigma is zero, return a DiscreteDistribution with a single atom - if mean is not None: - return DiscreteDistribution([1.0], mean, seed=seed) - return DiscreteDistribution([1.0], [np.exp(mu)], seed=seed) - - return super().__new__(cls) - - def __init__( - self, - mu: Union[float, np.ndarray] = 0.0, - sigma: Union[float, np.ndarray] = 1.0, - seed: Optional[int] = 0, - mean=None, - std=None, - ): - if mean is not None and std is not None: - mean_squared = mean**2 - variance = std**2 - mu = np.log(mean / (np.sqrt(1.0 + variance / mean_squared))) - sigma = np.sqrt(np.log(1.0 + variance / mean_squared)) - - if mean is not None and std is None: - mu = np.log(mean) - sigma**2 / 2 - - self.mu = np.asarray(mu) - self.sigma = np.asarray(sigma) - - if self.mu.size != self.sigma.size: - raise AttributeError( - "mu and sigma must be of same size, are %s, %s" - % ((self.mu.size), (self.sigma.size)) - ) - - # Set up the RNG - super().__init__( - stats.lognorm, s=self.sigma, scale=np.exp(self.mu), loc=0, seed=seed - ) - - def _approx_equiprobable( - self, N, endpoints=False, tail_N=0, tail_bound=None, tail_order=np.e - ): - """ - Construct a discrete approximation to a lognormal distribution with underlying - normal distribution N(mu,sigma). Makes an equiprobable distribution by - default, but user can optionally request augmented tails with exponentially - sized point masses. This can improve solution accuracy in some models. - - TODO: add endpoints option - - Parameters - ---------- - N: int - Number of discrete points in the "main part" of the approximation. - tail_N: int - Number of points in each "tail part" of the approximation; 0 = no tail. - tail_bound: [float] - CDF boundaries of the tails vs main portion; tail_bound[0] is the lower - tail bound, tail_bound[1] is the upper tail bound. Inoperative when - tail_N = 0. Can make "one tailed" approximations with 0.0 or 1.0. - tail_order: float - Factor by which consecutive point masses in a "tail part" differ in - probability. Should be >= 1 for sensible spacing. - - Returns - ------- - d : DiscreteDistribution - Probability associated with each point in array of discrete - points for discrete probability mass function. - """ - - tail_bound = tail_bound if tail_bound is not None else [0.02, 0.98] - # Find the CDF boundaries of each segment - if self.sigma > 0.0: - if tail_N > 0: - lo_cut = tail_bound[0] - hi_cut = tail_bound[1] - else: - lo_cut = 0.0 - hi_cut = 1.0 - inner_size = hi_cut - lo_cut - inner_CDF_vals = [ - lo_cut + x * N ** (-1.0) * inner_size for x in range(1, N) - ] - if inner_size < 1.0: - scale = 1.0 / tail_order - mag = (1.0 - scale**tail_N) / (1.0 - scale) - lower_CDF_vals = [0.0] - if lo_cut > 0.0: - for x in range(tail_N - 1, -1, -1): - lower_CDF_vals.append(lower_CDF_vals[-1] + lo_cut * scale**x / mag) - upper_CDF_vals = [hi_cut] - if hi_cut < 1.0: - for x in range(tail_N): - upper_CDF_vals.append( - upper_CDF_vals[-1] + (1.0 - hi_cut) * scale**x / mag - ) - CDF_vals = lower_CDF_vals + inner_CDF_vals + upper_CDF_vals - temp_cutoffs = list( - stats.lognorm.ppf( - CDF_vals[1:-1], s=self.sigma, loc=0, scale=np.exp(self.mu) - ) - ) - cutoffs = [0] + temp_cutoffs + [np.inf] - CDF_vals = np.array(CDF_vals) - - K = CDF_vals.size - 1 # number of points in approximation - pmv = CDF_vals[1 : (K + 1)] - CDF_vals[0:K] - atoms = np.zeros(K) - for i in range(K): - zBot = cutoffs[i] - zTop = cutoffs[i + 1] - # Manual check to avoid the RuntimeWarning generated by "divide by zero" - # with np.log(zBot). - if zBot == 0: - tempBot = np.inf - else: - tempBot = (self.mu + self.sigma**2 - np.log(zBot)) / ( - np.sqrt(2) * self.sigma - ) - tempTop = (self.mu + self.sigma**2 - np.log(zTop)) / ( - np.sqrt(2) * self.sigma - ) - if tempBot <= 4: - atoms[i] = ( - -0.5 - * np.exp(self.mu + (self.sigma**2) * 0.5) - * (math.erf(tempTop) - math.erf(tempBot)) - / pmv[i] - ) - else: - atoms[i] = ( - -0.5 - * np.exp(self.mu + (self.sigma**2) * 0.5) - * (math.erfc(tempBot) - math.erfc(tempTop)) - / pmv[i] - ) - - else: - pmv = np.ones(N) / N - atoms = np.exp(self.mu) * np.ones(N) - - limit = { - "dist": self, - "method": "equiprobable", - "N": N, - "endpoints": endpoints, - "tail_N": tail_N, - "tail_bound": tail_bound, - "tail_order": tail_order, - } - - return DiscreteDistribution( - pmv, - atoms, - seed=self._rng.integers(0, 2**31 - 1, dtype="int32"), - limit=limit, - ) - - def _approx_hermite(self, N, endpoints=False): - """ - Returns a discrete approximation of this distribution - using the Gauss-Hermite quadrature rule. - - TODO: add endpoints option - - Parameters - ---------- - N : int - Number of discrete points to approximate the distribution. - - Returns - ------- - DiscreteDistribution - Discrete approximation of this distribution. - """ - - x, w = np.polynomial.hermite.hermgauss(N) - # normalize w - pmv = w * np.pi**-0.5 - # correct x - atoms = np.exp(np.sqrt(2.0) * self.sigma * x + self.mu) - - limit = {"dist": self, "method": "hermite", "N": N, "endpoints": endpoints} - - return DiscreteDistribution( - pmv, - atoms, - seed=self._rng.integers(0, 2**31 - 1, dtype="int32"), - limit=limit, - ) - - @classmethod - def from_mean_std(cls, mean, std, seed=0): - """ - Construct a LogNormal distribution from its - mean and standard deviation. - - This is unlike the normal constructor for the distribution, - which takes the mu and sigma for the normal distribution - that is the logarithm of the Log Normal distribution. - - Parameters - ---------- - mean : float or [float] - One or more means. Number of elements T in mu determines number - of rows of output. - std : float or [float] - One or more standard deviations. Number of elements T in sigma - determines number of rows of output. - seed : int - Seed for random number generator. - - Returns - --------- - LogNormal - - """ - mean_squared = mean**2 - variance = std**2 - mu = np.log(mean / (np.sqrt(1.0 + variance / mean_squared))) - sigma = np.sqrt(np.log(1.0 + variance / mean_squared)) - - return cls(mu=mu, sigma=sigma, seed=seed) - - -class MeanOneLogNormal(Lognormal): - """ - A Lognormal distribution with mean 1. - """ - - def __init__(self, sigma=1.0, seed=0): - mu = -0.5 * sigma**2 - super().__init__(mu=mu, sigma=sigma, seed=seed) - - -class Uniform(ContinuousFrozenDistribution): - """ - A Uniform distribution. - - Parameters - ---------- - bot : float or [float] - One or more bottom values. - Number of elements T in mu determines number - of rows of output. - top : float or [float] - One or more top values. - Number of elements T in top determines number of - rows of output. - seed : int - Seed for random number generator. - """ - - def __init__(self, bot=0.0, top=1.0, seed=0): - self.bot = np.asarray(bot) - self.top = np.asarray(top) - - super().__init__( - stats.uniform, loc=self.bot, scale=self.top - self.bot, seed=seed - ) - - def _approx_equiprobable(self, N, endpoints=False): - """ - Makes a discrete approximation to this uniform distribution. - - Parameters - ---------- - N : int - The number of points in the discrete approximation. - endpoints : bool - Whether to include the endpoints in the approximation. - - Returns - ------- - d : DiscreteDistribution - Probability associated with each point in array of discrete - points for discrete probability mass function. - """ - pmv = np.ones(N) / float(N) - - center = (self.top + self.bot) / 2.0 - width = (self.top - self.bot) / 2.0 - atoms = center + width * np.linspace(-(N - 1.0) / 2.0, (N - 1.0) / 2.0, N) / ( - N / 2.0 - ) - - if endpoints: # insert endpoints with infinitesimally small mass - atoms = np.concatenate(([self.bot], atoms, [self.top])) - pmv = np.concatenate(([0.0], pmv, [0.0])) - - limit = {"dist": self, "method": "equiprobable", "N": N, "endpoints": endpoints} - - return DiscreteDistribution( - pmv, - atoms, - seed=self._rng.integers(0, 2**31 - 1, dtype="int32"), - limit=limit, - ) - - -class Weibull(ContinuousFrozenDistribution): - """ - A Weibull distribution. - - Parameters - ---------- - scale : float or [float] - One or more scales. Number of elements T in scale - determines number of - rows of output. - shape : float or [float] - One or more shape parameters. Number of elements T in scale - determines number of rows of output. - seed : int - Seed for random number generator. - """ - - def __init__(self, scale=1.0, shape=1.0, seed=0): - self.scale = np.asarray(scale) - self.shape = np.asarray(shape) - # Set up the RNG - super().__init__(stats.weibull_min, c=shape, scale=scale, seed=seed) - - -# MULTIVARIATE DISTRIBUTIONS - - -class MVNormal(multivariate_normal_frozen, Distribution): - """ - A Multivariate Normal distribution. - - Parameters - ---------- - mu : numpy array - Mean vector. - Sigma : 2-d numpy array. Each dimension must have length equal to that of - mu. - Variance-covariance matrix. - seed : int - Seed for random number generator. - """ - - def __init__(self, mu=[1, 1], Sigma=[[1, 0], [0, 1]], seed=0): - self.mu = np.asarray(mu) - self.Sigma = np.asarray(Sigma) - self.M = self.mu.size - multivariate_normal_frozen.__init__(self, mean=self.mu, cov=self.Sigma) - Distribution.__init__(self, seed=seed) - - def discretize(self, N, method="hermite", endpoints=False): - """ - For multivariate normal distributions, the Gauss-Hermite - quadrature rule is used as the default method for discretization. - """ - - return self._approx(N, method=method, endpoints=endpoints) - - def _approx(self, N, method="hermite", endpoints=False): - """ - Returns a discrete approximation of this distribution. - - The discretization will have N**M points, where M is the dimension of - the multivariate normal. - - It uses the fact that: - - Being positive definite, Sigma can be factorized as Sigma = QVQ', - with V diagonal. So, letting A=Q*sqrt(V), Sigma = A*A'. - - If Z is an N-dimensional multivariate standard normal, then - A*Z ~ N(0,A*A' = Sigma). - - The idea therefore is to construct an equiprobable grid for a standard - normal and multiply it by matrix A. - """ - - # Start by computing matrix A. - v, Q = np.linalg.eig(self.Sigma) - sqrtV = np.diag(np.sqrt(v)) - A = np.matmul(Q, sqrtV) - - # Now find a discretization for a univariate standard normal. - - z_approx = Normal().discretize(N, method=method) - - # Now create the multivariate grid and pmv - Z = np.array(list(product(*[z_approx.atoms.flatten()] * self.M))) - pmv = np.prod(np.array(list(product(*[z_approx.pmv] * self.M))), axis=1) - - # Apply mean and standard deviation to the Z grid - atoms = self.mu[None, ...] + np.matmul(Z, A.T) - - limit = { - "dist": self, - "method": method, - "N": N, - "endpoints": endpoints, - } - - # Construct and return discrete distribution - return DiscreteDistribution( - pmv, - atoms.T, - seed=self._rng.integers(0, 2**31 - 1, dtype="int32"), - limit=limit, - ) - - -class MVLogNormal(multi_rv_frozen, Distribution): - """ - A Multivariate Lognormal distribution. - - Parameters - ---------- - mu : Union[list, numpy.ndarray], optional - Means of underlying multivariate normal, default [0.0, 0.0]. - Sigma : Union[list, numpy.ndarray], optional - nxn variance-covariance matrix of underlying multivariate normal, default [[1.0, 0.0], [0.0, 1.0]]. - seed : int, optional - Seed for random number generator, default 0. - """ - - def __init__( - self, - mu: Union[List, np.ndarray] = [0.0, 0.0], - Sigma: Union[List, np.ndarray] = [[1.0, 0.0], [0.0, 1.0]], - seed=None, - ): - self.mu = np.asarray(mu) - self.Sigma = np.asarray(Sigma) - self.M = self.mu.size - - if self.Sigma.shape != (self.M, self.M): - raise AttributeError(f"Sigma must be a {self.M}x{self.M} matrix") - - if np.array_equal(self.Sigma, self.Sigma.T): - res = np.all(np.linalg.eigvals(self.Sigma) >= 0) - if not res: - raise AttributeError("Sigma must be positive semi-definite") - else: - raise AttributeError("Sigma must be positive semi-definite") - - multi_rv_frozen.__init__(self) - Distribution.__init__(self, seed=seed) - - def mean(self): - """ - Mean of the distribution. - - Returns - ------- - np.ndarray - Mean of the distribution. - """ - - return np.exp(self.mu + 0.5 * np.diag(self.Sigma)) - - def _cdf(self, x: Union[list, np.ndarray]): - """ - Cumulative distribution function of the distribution evaluated at x. - - Parameters - ---------- - x : np.ndarray - Point at which to evaluate the CDF. - - Returns - ------- - float - CDF evaluated at x. - """ - - x = np.asarray(x) - - if (x.shape != self.M) & (x.shape[1] != self.M): - raise ValueError(f"x must be and {self.M}-dimensional input") - - return MVNormal(mu=self.mu, Sigma=self.Sigma).cdf(np.log(x)) - - def _pdf(self, x: Union[list, np.ndarray]): - """ - Probability density function of the distribution evaluated at x. - - Parameters - ---------- - x : Union[list, np.ndarray] - Point at which to evaluate the PDF. - - Returns - ------- - float - PDF evaluated at x. - """ - - x = np.asarray(x) - - if (x.shape != (self.M,)) & (x.shape[1] != self.M): - raise ValueError(f"x must be an {self.M}-dimensional input") - - eigenvalues = linalg.eigvals(self.Sigma) - - pseudo_det = np.prod(eigenvalues[eigenvalues > 1e-12]) - - inverse_sigma = linalg.pinv(self.Sigma) - - rank_sigma = linalg.matrix_rank(self.Sigma) - - pd = np.multiply( - (1 / np.prod(x, axis=1)), - (2 * np.pi) ** (-rank_sigma / 2) - * pseudo_det ** (-0.5) - * np.exp(-(1 / 2) * np.multiply(np.log(x) @ inverse_sigma, np.log(x))), - ) - - return pd - - def _marginal(self, x: Union[np.ndarray, float, list], dim: int): - """ - Marginal distribution of one of the variables in the bivariate distribution evaluated at x. - - Parameters - ---------- - x : Union[np.ndarray, float] - Point at which to evaluate the marginal distribution. - dim : int - Which of the random variables to evaluate (1 or 2). - - Returns - ------- - float - Marginal distribution evaluated at x. - """ - - x = np.asarray(x) - - x_dim = Lognormal( - mu=self.mu[dim - 1], sigma=np.sqrt(self.Sigma[dim - 1, dim - 1]) - ) - - return x_dim.pdf(x) - - def _marginal_cdf(self, x: Union[np.ndarray, float, list], dim: int): - """ - Cumulative distribution function of one of the variables from the bivariate distribution evaluated at x. - - Parameters - ---------- - x : Union[np.ndarray, float] - Point at which to evaluate the marginal CDF. - dim : int - Which of the random variables to evaluate (1 or 2). - - Returns - ------- - float - Marginal CDF evaluated at x. - """ - - x = np.asarray(x) - - x_dim = Lognormal( - mu=self.mu[dim - 1], sigma=np.sqrt(self.Sigma[dim - 1, dim - 1]) - ) - - return x_dim.cdf(x) - - def rvs(self, size: int = 1, random_state=None): - """ - Random sample from the distribution. - - Parameters - ---------- - size : int - Number of data points to generate. - random_state : optional - Seed for random number generator. - - Returns - ------- - np.ndarray - Random sample from the distribution. - """ - - Z = MVNormal(mu=self.mu, Sigma=self.Sigma) - - return np.exp(Z.rvs(size, random_state=random_state)) - - def _approx_equiprobable( - self, - N: int, - tail_bound: Union[float, list, tuple] = None, - endpoints: bool = False, - decomp: str = "cholesky", - ): - """ - Makes a discrete approximation using the equiprobable method to this multivariate lognormal distribution. - - Parameters - ---------- - N : int - The number of points in the discrete approximation. - tail_bound : Union[float, list, tuple], optional - The values of the CDF according to which the distribution is truncated. If only a single number is specified, it is the lower tail bound and a symmetric upper bound is chosen. Can make one-tailed approximations with 0.0 or 1.0 as the lower and upper bound respectively. By default the distribution is not truncated. - endpoints : bool - If endpoints is True, then atoms at the corner points of the truncated region are included. By default, endpoints is False, which is when only the interior points are included. - decomp : str in ["cholesky", "sqrt", "eig"], optional - The method of decomposing the covariance matrix. Available options are the Cholesky decomposition, the positive-definite square root, and the eigendecomposition. By default the Cholesky decomposition is used. NOTE: The method of decomposition might affect the expectations of the discretized distribution along each dimension dfferently. - - Returns - ------- - d : DiscreteDistribution - Probability associated with each point in array of discrete - points for discrete probability mass function. - """ - - if endpoints: - tail_N = 1 - else: - tail_N = 0 - - if decomp not in ["cholesky", "sqrt", "eig"]: - raise NotImplementedError( - "Decomposition method must be 'cholesky', 'sqrt' or 'eig'" - ) - - if np.array_equal(self.Sigma, np.diag(np.diag(self.Sigma))): - ind_atoms = np.empty((self.M, N)) - - for i in range(self.M): - if self.Sigma[i, i] == 0.0: - x_atoms = np.repeat(np.exp(self.mu[i]), N) - ind_atoms[i] = x_atoms - else: - x_atoms = ( - Lognormal(mu=self.mu[i], sigma=np.sqrt(self.Sigma[i, i])) - ._approx_equiprobable( - N, tail_N=tail_N, tail_bound=tail_bound, endpoints=endpoints - ) - .atoms - ) - ind_atoms[i] = x_atoms - - atoms_list = [ind_atoms[i] for i in range(self.M)] - atoms = np.stack( - [ar.flatten() for ar in list(np.meshgrid(*atoms_list))], axis=1 - ).T - pmv = np.repeat(1 / (N**self.M), N**self.M) - else: - if tail_bound is not None: - if type(tail_bound) is float: - tail_bound = [tail_bound, 1 - tail_bound] - - if tail_bound[0] < 0 or tail_bound[1] > 1: - raise ValueError("Tail bounds must be between 0 and 1") - - cdf_cuts = np.linspace(tail_bound[0], tail_bound[1], N + 1) - int_prob = tail_bound[1] - tail_bound[0] - - else: - cdf_cuts = np.linspace(0, 1, N + 1) - int_prob = 1.0 - - Z = Normal() - - z_cuts = np.empty(2 * tail_N + N + 1) - if tail_N > 0: - z_cuts[0:tail_N] = Z.ppf(cdf_cuts[0]) - z_cuts[-tail_N:] = Z.ppf(cdf_cuts[-1]) - - z_cuts[tail_N : tail_N + N + 1] = Z.ppf(cdf_cuts) - z_bins = [(z_cuts[i], z_cuts[i + 1]) for i in range(N + 2 * tail_N)] - - atoms = np.empty([self.M, (N + (2 * tail_N)) ** self.M]) - - interiors = np.empty([self.M, (N + 2 * tail_N) ** (self.M)]) - - inners = np.zeros(N + 2 * tail_N) - - if tail_N > 0: - inners[:tail_N] = [(tail_N - i) for i in range(tail_N)] - inners[-tail_N:] = [(i + 1) for i in range(tail_N)] - - def eval(params, z): - inds = [] - excl = [] - - for j in range(len(z)): - if z[j, 0] != z[j, 1]: - inds.append(j) - else: - excl.append(j) - - dim = len(inds) - - p = np.repeat(params[inds], 2).reshape(dim, 2) - - Z = np.multiply(p, z[inds]) - - bounds = ((p**2 - Z) / (np.sqrt(2) * p)).T - - if len(inds) > 0: - x_exp = np.prod( - -0.5 - * np.exp(np.square(params[inds]) / 2) - * (special.erf(bounds[1]) - special.erf(bounds[0])) - ) - else: - x_exp = 1 - - if len(excl) > 0: - x_others = np.prod(np.exp(np.multiply(params[excl], z[excl, 1]))) - else: - x_others = 1 - - return x_exp * x_others * (N / int_prob) ** dim - - if decomp == "cholesky": - L = np.linalg.cholesky(self.Sigma) - - for i in range(self.M): - mui = self.mu[i] - params = L[i, 0 : i + 1] - - Z_list = [z_bins for _ in range(i + 1)] - - Z_bins = [np.array(x) for x in list(product(*Z_list))] - - xi_atoms = [] - - for z_bin in Z_bins: - atom = np.exp(mui) * eval(params, z_bin) - xi_atoms.append(atom) - - xi_atoms_arr = np.repeat( - xi_atoms, (N + 2 * tail_N) ** (self.M - (i + 1)) - ) - - inners_i = [inners for _ in range((N + 2 * tail_N) ** i)] - - interiors[i] = np.repeat( - [*inners_i], (N + 2 * tail_N) ** (self.M - (i + 1)) - ) - - atoms[i] = xi_atoms_arr - else: - Λ, Q = np.linalg.eig(self.Sigma) - - A = Q @ np.diag(np.sqrt(Λ)) - - if decomp == "sqrt": - A = A @ Q.T - - for i in range(self.M): - mui = self.mu[i] - params = A[i] - - Z_list = [z_bins for _ in range(self.M)] - - Z_bins = [np.array(x) for x in list(product(*Z_list))] - - xi_atoms = [] - - for z_bin in Z_bins: - atom = np.exp(mui) * eval(params, z_bin) - xi_atoms.append(atom) - - inners_i = [inners for _ in range((N + 2 * tail_N) ** i)] - - interiors[i] = np.repeat( - [*inners_i], (N + 2 * tail_N) ** (self.M - (i + 1)) - ) - - atoms[i] = xi_atoms - - max_locs = np.argmax(np.abs(interiors), axis=0) - - max_inds = np.stack([max_locs, np.arange(len(max_locs))], axis=1) - - prob_locs = interiors[max_inds[:, 0], max_inds[:, 1]] - - def prob_assign(x): - if x == 0: - return 1 / (N**self.M) - else: - return 0.0 - - prob_vec = np.vectorize(prob_assign) - - pmv = prob_vec(prob_locs) - - limit = { - "dist": self, - "method": "equiprobable", - "N": N, - "endpoints": endpoints, - "tail_bound": tail_bound, - "decomp": decomp, - } - - return DiscreteDistribution( - pmv=pmv, - atoms=atoms, - seed=self._rng.integers(0, 2**31 - 1, dtype="int32"), - limit=limit, - ) - - -# DISCRETE DISTRIBUTIONS - - -class DiscreteFrozenDistribution(rv_discrete_frozen, Distribution): - """ - Parameterized discrete distribution from scipy.stats with seed management. - """ - - def __init__( - self, dist: rv_discrete, *args: Any, seed: int = 0, **kwds: Any - ) -> None: - """ - Parameterized discrete distribution from scipy.stats with seed management. - - Parameters - ---------- - dist : rv_discrete - Discrete distribution from scipy.stats. - seed : int, optional - Seed for random number generator, by default 0 - """ - - rv_discrete_frozen.__init__(self, dist, *args, **kwds) - Distribution.__init__(self, seed=seed) - - -class Bernoulli(DiscreteFrozenDistribution): - """ - A Bernoulli distribution. - - Parameters - ---------- - p : float or [float] - Probability or probabilities of the event occurring (True). - - seed : int - Seed for random number generator. - """ - - def __init__(self, p=0.5, seed=0): - self.p = np.asarray(p) - # Set up the RNG - super().__init__(stats.bernoulli, p=self.p, seed=seed) - - self.pmv = [1 - self.p, self.p] - self.atoms = [0, 1] - self.limit = {"dist": self} - - -class DiscreteDistribution(Distribution): - """ - A representation of a discrete probability distribution. - - Parameters - ---------- - pmv : np.array - An array of floats representing a probability mass function. - atoms : np.array - Discrete point values for each probability mass. - For multivariate distributions, the last dimension of atoms must index - "atom" or the random realization. For instance, if atoms.shape == (2,6,4), - the random variable has 4 possible realizations and each of them has shape (2,6). - seed : int - Seed for random number generator. - """ - - def __init__( - self, - pmv: np.ndarray, - atoms: np.ndarray, - seed: int = 0, - limit: Optional[Dict[str, Any]] = None, - ) -> None: - super().__init__(seed=seed) - - self.pmv = np.asarray(pmv) - self.atoms = np.atleast_2d(atoms) - self.limit = limit - - # Check that pmv and atoms have compatible dimensions. - if not self.pmv.size == self.atoms.shape[-1]: - raise ValueError( - "Provided pmv and atoms arrays have incompatible dimensions. " - + "The length of the pmv must be equal to that of atoms's last dimension." - ) - - def dim(self) -> int: - """ - Last dimension of self.atoms indexes "atom." - """ - return self.atoms.shape[:-1] - - def draw_events(self, N: int) -> np.ndarray: - """ - Draws N 'events' from the distribution PMF. - These events are indices into atoms. - """ - # Generate a cumulative distribution - base_draws = self._rng.uniform(size=N) - cum_dist = np.cumsum(self.pmv) - - # Convert the basic uniform draws into discrete draws - indices = cum_dist.searchsorted(base_draws) - - return indices - - def draw( - self, - N: int, - atoms: Union[None, int, np.ndarray] = None, - exact_match: bool = False, - ) -> np.ndarray: - """ - Simulates N draws from a discrete distribution with probabilities P and outcomes atoms. - - Parameters - ---------- - N : int - Number of draws to simulate. - atoms : None, int, or np.array - If None, then use this distribution's atoms for point values. - If an int, then the index of atoms for the point values. - If an np.array, use the array for the point values. - exact_match : boolean - Whether the draws should "exactly" match the discrete distribution (as - closely as possible given finite draws). When True, returned draws are - a random permutation of the N-length list that best fits the discrete - distribution. When False (default), each draw is independent from the - others and the result could deviate from the input. - - Returns - ------- - draws : np.array - An array of draws from the discrete distribution; each element is a value in atoms. - """ - if atoms is None: - atoms = self.atoms - elif isinstance(atoms, int): - atoms = self.atoms[atoms] - - if exact_match: - events = np.arange(self.pmv.size) # just a list of integers - cutoffs = np.round(np.cumsum(self.pmv) * N).astype( - int - ) # cutoff points between discrete outcomes - top = 0 - - # Make a list of event indices that closely matches the discrete distribution - event_list = [] - for j in range(events.size): - bot = top - top = cutoffs[j] - event_list += (top - bot) * [events[j]] - - # Randomly permute the event indices - indices = self._rng.permutation(event_list) - - # Draw event indices randomly from the discrete distribution - else: - indices = self.draw_events(N) - - # Create and fill in the output array of draws based on the output of event indices - draws = atoms[..., indices] - - # TODO: some models expect univariate draws to just be a 1d vector. Fix those models. - if len(draws.shape) == 2 and draws.shape[0] == 1: - draws = draws.flatten() - - return draws - - def expected( - self, func: Optional[Callable] = None, *args: np.ndarray - ) -> np.ndarray: - """ - Expected value of a function, given an array of configurations of its - inputs along with a DiscreteDistribution object that specifies the - probability of each configuration. - - If no function is provided, it's much faster to go straight to dot - product instead of calling the dummy function. - - If a function is provided, we need to add one more dimension, - the atom dimension, to any inputs that are n-dim arrays. - This allows numpy to easily broadcast the function's output. - For more information on broadcasting, see: - https://numpy.org/doc/stable/user/basics.broadcasting.html#general-broadcasting-rules - - Parameters - ---------- - func : function - The function to be evaluated. - This function should take the full array of distribution values - and return either arrays of arbitrary shape or scalars. - It may also take other arguments \\*args. - This function differs from the standalone `calc_expectation` - method in that it uses numpy's vectorization and broadcasting - rules to avoid costly iteration. - Note: If you need to use a function that acts on single outcomes - of the distribution, consider `distribution.calc_expectation`. - \\*args : - Other inputs for func, representing the non-stochastic arguments. - The the expectation is computed at ``f(dstn, *args)``. - - Returns - ------- - f_exp : np.array or scalar - The expectation of the function at the queried values. - Scalar if only one value. - """ - - if func is None: - f_query = self.atoms - else: - args = [ - np.expand_dims(arg, -1) if isinstance(arg, np.ndarray) else arg - for arg in args - ] - - f_query = func(self.atoms, *args) - - f_exp = np.dot(f_query, self.pmv) - - return f_exp - - def dist_of_func( - self, func: Callable[..., float] = lambda x: x, *args: Any - ) -> "DiscreteDistribution": - """ - Finds the distribution of a random variable Y that is a function - of discrete random variable atoms, Y=f(atoms). - - Parameters - ---------- - func : function - The function to be evaluated. - This function should take the full array of distribution values. - It may also take other arguments \\*args. - \\*args : - Additional non-stochastic arguments for func, - The function is computed as ``f(dstn, *args)``. - - Returns - ------- - f_dstn : DiscreteDistribution - The distribution of func(dstn). - """ - # we need to add one more dimension, - # the atom dimension, to any inputs that are n-dim arrays. - # This allows numpy to easily broadcast the function's output. - args = [ - np.expand_dims(arg, -1) if isinstance(arg, np.ndarray) else arg - for arg in args - ] - f_query = func(self.atoms, *args) - - f_dstn = DiscreteDistribution(list(self.pmv), f_query, seed=self.seed) - - return f_dstn - - def discretize(self, N: int, *args: Any, **kwargs: Any) -> "DiscreteDistribution": - """ - `DiscreteDistribution` is already an approximation, so this method - returns a copy of the distribution. - - TODO: print warning message? - """ - return self - - def make_univariate(self, dim_to_keep, seed=0): - """ - Make a univariate discrete distribution from this distribution, keeping - only the specified dimension. - - Parameters - ---------- - dim_to_keep : int - Index of the distribution to be kept. Any other dimensions will be - "collapsed" into the univariate atoms, combining probabilities. - seed : int, optional - Seed for random number generator of univariate distribution - - Returns - ------- - univariate_dstn : DiscreteDistribution - Univariate distribution with only the specified index. - """ - # Do basic validity and triviality checks - if (self.atoms.shape[0] == 1) and (dim_to_keep == 0): - return deepcopy(self) # Return copy of self if only one dimension - if dim_to_keep >= self.atoms.shape[0]: - raise ValueError("dim_to_keep exceeds dimensionality of distribution.") - - # Construct values and probabilities for univariate distribution - atoms_temp = self.atoms[dim_to_keep] - vals_to_keep = np.unique(atoms_temp) - probs_to_keep = np.zeros_like(vals_to_keep) - for i in range(vals_to_keep.size): - val = vals_to_keep[i] - these = atoms_temp == val - probs_to_keep[i] = np.sum(self.pmv[these]) - - # Make and return the univariate distribution - univariate_dstn = DiscreteDistribution( - pmv=probs_to_keep, atoms=vals_to_keep, seed=seed - ) - return univariate_dstn - - -class DiscreteDistributionLabeled(DiscreteDistribution): - """ - A representation of a discrete probability distribution - stored in an underlying `xarray.Dataset`. - - Parameters - ---------- - pmv : np.array - An array of values representing a probability mass function. - data : np.array - Discrete point values for each probability mass. - For multivariate distributions, the last dimension of atoms must index - "atom" or the random realization. For instance, if atoms.shape == (2,6,4), - the random variable has 4 possible realizations and each of them has shape (2,6). - seed : int - Seed for random number generator. - name : str - Name of the distribution. - attrs : dict - Attributes for the distribution. - var_names : list of str - Names of the variables in the distribution. - var_attrs : list of dict - Attributes of the variables in the distribution. - - """ - - def __init__( - self, - pmv: np.ndarray, - atoms: np.ndarray, - seed: int = 0, - limit: Optional[Dict[str, Any]] = None, - name: str = "DiscreteDistributionLabeled", - attrs: Optional[Dict[str, Any]] = None, - var_names: Optional[List[str]] = None, - var_attrs: Optional[List[Optional[Dict[str, Any]]]] = None, - ): - super().__init__(pmv, atoms, seed=seed, limit=limit) - - # vector-value distributions - - if self.atoms.ndim > 2: - raise NotImplementedError( - "Only vector-valued distributions are supported for now." - ) - - attrs = {} if attrs is None else attrs - limit = {} if limit is None else limit - attrs.update(limit) - attrs["name"] = name - - n_var = self.atoms.shape[0] - - # give dummy names to variables if none are provided - if var_names is None: - var_names = ["var_" + str(i) for i in range(n_var)] - - assert ( - len(var_names) == n_var - ), "Number of variable names does not match number of variables." - - # give dummy attributes to variables if none are provided - if var_attrs is None: - var_attrs = [None] * n_var - - # a DiscreteDistributionLabeled is an xr.Dataset where the only - # dimension is "atom", which indexes the random realizations. - self.dataset = xr.Dataset( - { - var_names[i]: xr.DataArray( - self.atoms[i], - dims=("atom"), - attrs=var_attrs[i], - ) - for i in range(n_var) - }, - attrs=attrs, - ) - - # the probability mass values are stored in - # a DataArray with dimension "atom" - self.probability = xr.DataArray(self.pmv, dims=("atom")) - - @classmethod - def from_unlabeled( - cls, - dist, - name="DiscreteDistributionLabeled", - attrs=None, - var_names=None, - var_attrs=None, - ): - ldd = cls( - dist.pmv, - dist.atoms, - seed=dist.seed, - limit=dist.limit, - name=name, - attrs=attrs, - var_names=var_names, - var_attrs=var_attrs, - ) - - return ldd - - @classmethod - def from_dataset(cls, x_obj, pmf): - ldd = cls.__new__(cls) - - if isinstance(x_obj, xr.Dataset): - ldd.dataset = x_obj - elif isinstance(x_obj, xr.DataArray): - ldd.dataset = xr.Dataset({x_obj.name: x_obj}) - elif isinstance(x_obj, dict): - ldd.dataset = xr.Dataset(x_obj) - - ldd.probability = pmf - - return ldd - - @property - def _weighted(self): - """ - Returns a DatasetWeighted object for the distribution. - """ - return self.dataset.weighted(self.probability) - - @property - def variables(self): - """ - A dict-like container of DataArrays corresponding to - the variables of the distribution. - """ - return self.dataset.data_vars - - @property - def name(self): - """ - The distribution's name. - """ - return self.dataset.name - - @property - def attrs(self): - """ - The distribution's attributes. - """ - - return self.dataset.attrs - - def dist_of_func( - self, func: Callable = lambda x: x, *args, **kwargs - ) -> DiscreteDistribution: - """ - Finds the distribution of a random variable Y that is a function - of discrete random variable atoms, Y=f(atoms). - - Parameters - ---------- - func : function - The function to be evaluated. - This function should take the full array of distribution values. - It may also take other arguments \\*args. - \\*args : - Additional non-stochastic arguments for func, - The function is computed as ``f(dstn, *args)``. - \\*\\*kwargs : - Additional keyword arguments for func. Must be xarray compatible - in order to work with xarray broadcasting. - - Returns - ------- - f_dstn : DiscreteDistribution or DiscreteDistributionLabeled - The distribution of func(dstn). - """ - - def func_wrapper(x: np.ndarray, *args: Any) -> np.ndarray: - """ - Wrapper function for `func` that handles labeled indexing. - """ - - idx = self.variables.keys() - wrapped = dict(zip(idx, x)) - - return func(wrapped, *args) - - if len(kwargs): - f_query = func(self.dataset, **kwargs) - ldd = DiscreteDistributionLabeled.from_dataset(f_query, self.probability) - - return ldd - - return super().dist_of_func(func_wrapper, *args) - - def expected( - self, func: Optional[Callable] = None, *args: Any, **kwargs: Any - ) -> Union[float, np.ndarray]: - """ - Expectation of a function, given an array of configurations of its inputs - along with a DiscreteDistributionLabeled object that specifies the probability - of each configuration. - - Parameters - ---------- - func : function - The function to be evaluated. - This function should take the full array of distribution values - and return either arrays of arbitrary shape or scalars. - It may also take other arguments \\*args. - This function differs from the standalone `calc_expectation` - method in that it uses numpy's vectorization and broadcasting - rules to avoid costly iteration. - Note: If you need to use a function that acts on single outcomes - of the distribution, consider `distribution.calc_expectation`. - \\*args : - Other inputs for func, representing the non-stochastic arguments. - The the expectation is computed at ``f(dstn, *args)``. - labels : bool - If True, the function should use labeled indexing instead of integer - indexing using the distribution's underlying rv coordinates. For example, - if `dims = ('rv', 'x')` and `coords = {'rv': ['a', 'b'], }`, then - the function can be `lambda x: x["a"] + x["b"]`. - - Returns - ------- - f_exp : np.array or scalar - The expectation of the function at the queried values. - Scalar if only one value. - """ - - def func_wrapper(x, *args): - """ - Wrapper function for `func` that handles labeled indexing. - """ - - idx = self.variables.keys() - wrapped = dict(zip(idx, x)) - - return func(wrapped, *args) - - if len(kwargs): - f_query = func(self.dataset, *args, **kwargs) - ldd = DiscreteDistributionLabeled.from_dataset(f_query, self.probability) - - return ldd._weighted.mean("atom") - else: - if func is None: - return super().expected() - else: - return super().expected(func_wrapper, *args) - - -class IndexDistribution(Distribution): - """ - This class provides a way to define a distribution that - is conditional on an index. - - The current implementation combines a defined distribution - class (such as Bernoulli, LogNormal, etc.) with information - about the conditions on the parameters of the distribution. - - For example, an IndexDistribution can be defined as - a Bernoulli distribution whose parameter p is a function of - a different input parameter. - - Parameters - ---------- - - engine : Distribution class - A Distribution subclass. - - conditional: dict - Information about the conditional variation - on the input parameters of the engine distribution. - Keys should match the arguments to the engine class - constructor. - - seed : int - Seed for random number generator. - """ - - conditional = None - engine = None - - def __init__(self, engine, conditional, RNG=None, seed=0): - if RNG is None: - # Set up the RNG - super().__init__(seed) - else: - # If an RNG is received, use it in whatever state it is in. - self._rng = RNG - # The seed will still be set, even if it is not used for the RNG, - # for whenever self.reset() is called. - # Note that self.reset() will stop using the RNG that was passed - # and create a new one. - self.seed = seed - - self.conditional = conditional - self.engine = engine - - self.dstns = [] - - # Test one item to determine case handling - item0 = list(self.conditional.values())[0] - - if type(item0) is list: - # Create and store all the conditional distributions - for y in range(len(item0)): - cond = {key: val[y] for (key, val) in self.conditional.items()} - self.dstns.append( - self.engine(seed=self._rng.integers(0, 2**31 - 1), **cond) - ) - - elif type(item0) is float: - self.dstns = [ - self.engine(seed=self._rng.integers(0, 2**31 - 1), **conditional) - ] - - else: - raise ( - Exception( - f"IndexDistribution: Unhandled case for __getitem__ access. item0: {item0}; conditional: {self.conditional}" - ) - ) - - def __getitem__(self, y): - return self.dstns[y] - - def discretize(self, N, **kwds): - """ - Approximation of the distribution. - - Parameters - ---------- - N : init - Number of discrete points to approximate - continuous distribution into. - - kwds: dict - Other keyword arguments passed to engine - distribution approx() method. - - Returns: - ------------ - dists : [DiscreteDistribution] - A list of DiscreteDistributions that are the - approximation of engine distribution under each condition. - - TODO: It would be better if there were a conditional discrete - distribution representation. But that integrates with the - solution code. This implementation will return the list of - distributions representations expected by the solution code. - """ - - # test one item to determine case handling - item0 = list(self.conditional.values())[0] - - if type(item0) is float: - # degenerate case. Treat the parameterization as constant. - return self.dstns[0].discretize(N, **kwds) - - if type(item0) is list: - return TimeVaryingDiscreteDistribution( - [self[i].discretize(N, **kwds) for i, _ in enumerate(item0)] - ) - - def draw(self, condition): - """ - Generate arrays of draws. - The input is an array containing the conditions. - The output is an array of the same length (axis 1 dimension) - as the conditions containing random draws of the conditional - distribution. - - Parameters - ---------- - condition : np.array - The input conditions to the distribution. - - Returns: - ------------ - draws : np.array - """ - # for now, assume that all the conditionals - # are of the same type. - # this matches the HARK 'time-varying' model architecture. - - # test one item to determine case handling - item0 = list(self.conditional.values())[0] - - if type(item0) is float: - # degenerate case. Treat the parameterization as constant. - N = condition.size - - return self.engine( - seed=self._rng.integers(0, 2**31 - 1), **self.conditional - ).draw(N) - - if type(item0) is list: - # conditions are indices into list - # somewhat convoluted sampling strategy retained - # for test backwards compatibility - - draws = np.zeros(condition.size) - - for c in np.unique(condition): - these = c == condition - N = np.sum(these) - - cond = {key: val[c] for (key, val) in self.conditional.items()} - draws[these] = self[c].draw(N) - - return draws - - -class TimeVaryingDiscreteDistribution(Distribution): - """ - This class provides a way to define a discrete distribution that - is conditional on an index. - - Wraps a list of discrete distributions. - - Parameters - ---------- - - distributions : [DiscreteDistribution] - A list of discrete distributions - - seed : int - Seed for random number generator. - """ - - distributions = [] - - def __init__(self, distributions, seed=0): - # Set up the RNG - super().__init__(seed) - - self.distributions = distributions - - def __getitem__(self, y): - return self.distributions[y] - - def draw(self, condition): - """ - Generate arrays of draws. - The input is an array containing the conditions. - The output is an array of the same length (axis 1 dimension) - as the conditions containing random draws of the conditional - distribution. - - Parameters - ---------- - condition : np.array - The input conditions to the distribution. - - Returns: - ------------ - draws : np.array - """ - # for now, assume that all the conditionals - # are of the same type. - # this matches the HARK 'time-varying' model architecture. - - # conditions are indices into list - # somewhat convoluted sampling strategy retained - # for test backwards compatibility - draws = np.zeros(condition.size) - - for c in np.unique(condition): - these = c == condition - N = np.sum(these) - - draws[these] = self.distributions[c].draw(N) - - return draws - - -def approx_lognormal_gauss_hermite(N, mu=0.0, sigma=1.0, seed=0): - d = Normal(mu, sigma).discretize(N, method="hermite") - return DiscreteDistribution(d.pmv, np.exp(d.atoms), seed=seed) - - -def calc_normal_style_pars_from_lognormal_pars(avg_lognormal, std_lognormal): - varLognormal = std_lognormal**2 - varNormal = math.log(1 + varLognormal / avg_lognormal**2) - avgNormal = math.log(avg_lognormal) - varNormal * 0.5 - std_normal = math.sqrt(varNormal) - return avgNormal, std_normal - - -def calc_lognormal_style_pars_from_normal_pars(mu_normal, std_normal): - varNormal = std_normal**2 - avg_lognormal = math.exp(mu_normal + varNormal * 0.5) - varLognormal = (math.exp(varNormal) - 1) * avg_lognormal**2 - std_lognormal = math.sqrt(varLognormal) - return avg_lognormal, std_lognormal - - -def approx_beta(N, a=1.0, b=1.0): - """ - Calculate a discrete approximation to the beta distribution. May be quite - slow, as it uses a rudimentary numeric integration method to generate the - discrete approximation. - - Parameters - ---------- - N : int - Size of discrete space vector to be returned. - a : float - First shape parameter (sometimes called alpha). - b : float - Second shape parameter (sometimes called beta). - - Returns - ------- - d : DiscreteDistribution - Probability associated with each point in array of discrete - points for discrete probability mass function. - """ - P = 1000 - vals = np.reshape(stats.beta.ppf(np.linspace(0.0, 1.0, N * P), a, b), (N, P)) - atoms = np.mean(vals, axis=1) - pmv = np.ones(N) / float(N) - return DiscreteDistribution(pmv, atoms) - - -def make_markov_approx_to_normal(x_grid, mu, sigma, K=351, bound=3.5): - """ - Creates an approximation to a normal distribution with mean mu and standard - deviation sigma, returning a stochastic vector called p_vec, corresponding - to values in x_grid. If a RV is distributed x~N(mu,sigma), then the expectation - of a continuous function f() is E[f(x)] = numpy.dot(p_vec,f(x_grid)). - - Parameters - ---------- - x_grid: numpy.array - A sorted 1D array of floats representing discrete values that a normally - distributed RV could take on. - mu: float - Mean of the normal distribution to be approximated. - sigma: float - Standard deviation of the normal distribution to be approximated. - K: int - Number of points in the normal distribution to sample. - bound: float - Truncation bound of the normal distribution, as +/- bound*sigma. - - Returns - ------- - p_vec: numpy.array - A stochastic vector with probability weights for each x in x_grid. - """ - x_n = x_grid.size # Number of points in the outcome grid - lower_bound = -bound # Lower bound of normal draws to consider, in SD - upper_bound = bound # Upper bound of normal draws to consider, in SD - raw_sample = np.linspace( - lower_bound, upper_bound, K - ) # Evenly spaced draws between bounds - f_weights = stats.norm.pdf(raw_sample) # Relative probability of each draw - sample = mu + sigma * raw_sample # Adjusted bounds, given mean and stdev - w_vec = np.zeros(x_n) # A vector of outcome weights - - # Find the relative position of each of the draws - sample_pos = np.searchsorted(x_grid, sample) - sample_pos[sample_pos < 1] = 1 - sample_pos[sample_pos > x_n - 1] = x_n - 1 - - # Make arrays of the x_grid point directly above and below each draw - bot = x_grid[sample_pos - 1] - top = x_grid[sample_pos] - alpha = (sample - bot) / (top - bot) - - # Keep the weights (alpha) in bounds - alpha_clipped = np.clip(alpha, 0.0, 1.0) - - # Loop through each x_grid point and add up the probability that each nearby - # draw contributes to it (accounting for distance) - for j in range(1, x_n): - c = sample_pos == j - w_vec[j - 1] = w_vec[j - 1] + np.dot(f_weights[c], 1.0 - alpha_clipped[c]) - w_vec[j] = w_vec[j] + np.dot(f_weights[c], alpha_clipped[c]) - - # Reweight the probabilities so they sum to 1 - W = np.sum(w_vec) - p_vec = w_vec / W - - # Check for obvious errors, and return p_vec - assert ( - (np.all(p_vec >= 0.0)) - and (np.all(p_vec <= 1.0)) - and (np.isclose(np.sum(p_vec), 1.0)) - ) - return p_vec - - -def make_markov_approx_to_normal_by_monte_carlo(x_grid, mu, sigma, N_draws=10000): - """ - Creates an approximation to a normal distribution with mean mu and standard - deviation sigma, by Monte Carlo. - Returns a stochastic vector called p_vec, corresponding - to values in x_grid. If a RV is distributed x~N(mu,sigma), then the expectation - of a continuous function f() is E[f(x)] = numpy.dot(p_vec,f(x_grid)). - - Parameters - ---------- - x_grid: numpy.array - A sorted 1D array of floats representing discrete values that a normally - distributed RV could take on. - mu: float - Mean of the normal distribution to be approximated. - sigma: float - Standard deviation of the normal distribution to be approximated. - N_draws: int - Number of draws to use in Monte Carlo. - - Returns - ------- - p_vec: numpy.array - A stochastic vector with probability weights for each x in x_grid. - """ - - # Take random draws from the desired normal distribution - random_draws = np.random.normal(loc=mu, scale=sigma, size=N_draws) - - # Compute the distance between the draws and points in x_grid - distance = np.abs(x_grid[:, np.newaxis] - random_draws[np.newaxis, :]) - - # Find the indices of the points in x_grid that are closest to the draws - distance_minimizing_index = np.argmin(distance, axis=0) - - # For each point in x_grid, the approximate probability of that point is the number - # of Monte Carlo draws that are closest to that point - p_vec = np.zeros_like(x_grid) - for p_index, p in enumerate(p_vec): - p_vec[p_index] = np.sum(distance_minimizing_index == p_index) / N_draws - - # Check for obvious errors, and return p_vec - assert ( - (np.all(p_vec >= 0.0)) - and (np.all(p_vec <= 1.0)) - and (np.isclose(np.sum(p_vec)), 1.0) - ) - return p_vec - - -def make_tauchen_ar1(N, sigma=1.0, ar_1=0.9, bound=3.0): - """ - Function to return a discretized version of an AR1 process. - See https://www.fperri.net/TEACHING/macrotheory08/numerical.pdf for details - - Parameters - ---------- - N: int - Size of discretized grid - sigma: float - Standard deviation of the error term - ar_1: float - AR1 coefficient - bound: float - The highest (lowest) grid point will be bound (-bound) multiplied by the unconditional - standard deviation of the process - - Returns - ------- - y: np.array - Grid points on which the discretized process takes values - trans_matrix: np.array - Markov transition array for the discretized process - """ - yN = bound * sigma / ((1 - ar_1**2) ** 0.5) - y = np.linspace(-yN, yN, N) - d = y[1] - y[0] - trans_matrix = np.ones((N, N)) - for j in range(N): - for k_1 in range(N - 2): - k = k_1 + 1 - trans_matrix[j, k] = stats.norm.cdf( - (y[k] + d / 2.0 - ar_1 * y[j]) / sigma - ) - stats.norm.cdf((y[k] - d / 2.0 - ar_1 * y[j]) / sigma) - trans_matrix[j, 0] = stats.norm.cdf((y[0] + d / 2.0 - ar_1 * y[j]) / sigma) - trans_matrix[j, N - 1] = 1.0 - stats.norm.cdf( - (y[N - 1] - d / 2.0 - ar_1 * y[j]) / sigma - ) - - return y, trans_matrix - - -# ================================================================================ -# ==================== Functions for manipulating discrete distributions ========= -# ================================================================================ - - -def add_discrete_outcome_constant_mean(distribution, x, p, sort=False): - """ - Adds a discrete outcome of x with probability p to an existing distribution, - holding constant the relative probabilities of other outcomes and overall mean. - - Parameters - ---------- - distribution : DiscreteDistribution - A one-dimensional DiscreteDistribution. - x : float - The new value to be added to the distribution. - p : float - The probability of the discrete outcome x occuring. - sort: bool - Whether or not to sort atoms before returning it - - Returns - ------- - d : DiscreteDistribution - Probability associated with each point in array of discrete - points for discrete probability mass function. - """ - - if type(distribution) != TimeVaryingDiscreteDistribution: - atoms = np.append(x, distribution.atoms * (1 - p * x) / (1 - p)) - pmv = np.append(p, distribution.pmv * (1 - p)) - - if sort: - indices = np.argsort(atoms) - atoms = atoms[indices] - pmv = pmv[indices] - - return DiscreteDistribution(pmv, atoms) - elif type(distribution) == TimeVaryingDiscreteDistribution: - # apply recursively on all the internal distributions - return TimeVaryingDiscreteDistribution( - [ - add_discrete_outcome_constant_mean(d, x, p) - for d in distribution.distributions - ], - seed=distribution.seed, - ) - - -def add_discrete_outcome(distribution, x, p, sort=False): - """ - Adds a discrete outcome of x with probability p to an existing distribution, - holding constant the relative probabilities of other outcomes. - - Parameters - ---------- - distribution : DiscreteDistribution - One-dimensional distribution to which the outcome is to be added. - x : float - The new value to be added to the distribution. - p : float - The probability of the discrete outcome x occuring. - - Returns - ------- - d : DiscreteDistribution - Probability associated with each point in array of discrete - points for discrete probability mass function. - """ - - atoms = np.append(x, distribution.atoms) - pmv = np.append(p, distribution.pmv * (1 - p)) - - if sort: - indices = np.argsort(atoms) - atoms = atoms[indices] - pmv = pmv[indices] - - return DiscreteDistribution(pmv, atoms) - - -def combine_indep_dstns(*distributions, seed=0): - """ - Given n independent vector-valued discrete distributions, construct their joint discrete distribution. - Can take multivariate discrete distributions as inputs. - - Parameters - ---------- - distributions : DiscreteDistribution - Arbitrary number of discrete distributionss to combine. Their realizations must be - vector-valued (for each D in distributions, it must be the case that len(D.dim())==1). - - Returns - ------- - A DiscreteDistribution representing the joint distribution of the given - random variables. - """ - # Get information on the distributions - dist_lengths = () - dist_dims = () - dist_is_labeled = () - var_labels = () - for dist in distributions: - if len(dist.dim()) > 1: - raise NotImplementedError( - "We currently only support combining vector-valued distributions." - ) - - dist_dims += (dist.dim(),) - dist_lengths += (len(dist.pmv),) - - labeled = isinstance(dist, DiscreteDistributionLabeled) - dist_is_labeled += (labeled,) - if labeled: - var_labels += tuple(dist.dataset.data_vars.keys()) - else: - var_labels += tuple([""] * dist.dim()[0]) - - number_of_distributions = len(distributions) - - all_labeled = all(dist_is_labeled) - labels_are_unique = len(var_labels) == len(set(var_labels)) - - # We need the combinations of indices of realizations in all - # distributions - inds = np.meshgrid( - *[np.array(range(l), dtype=int) for l in dist_lengths], indexing="ij" - ) - inds = [x.flatten() for x in inds] - - atoms_out = [] - P_temp = [] - for i, ind_vec in enumerate(inds): - atoms_out += [distributions[i].atoms[..., ind_vec]] - P_temp += [distributions[i].pmv[ind_vec]] - - atoms_out = np.concatenate(atoms_out, axis=0) - P_temp = np.stack(P_temp, axis=0) - P_out = np.prod(P_temp, axis=0) - - assert np.isclose(np.sum(P_out), 1), "Probabilities do not sum to 1!" - - if all_labeled and labels_are_unique: - combined_dstn = DiscreteDistributionLabeled( - pmv=P_out, - atoms=atoms_out, - var_names=var_labels, - seed=seed, - ) - else: - if all_labeled and not labels_are_unique: - warn( - "There are duplicated labels in the provided distributions. Returning a non-labeled combination" - ) - combined_dstn = DiscreteDistribution(P_out, atoms_out, seed=seed) - - return combined_dstn - - -def calc_expectation(dstn, func=lambda x: x, *args): - """ - Expectation of a function, given an array of configurations of its inputs - along with a DiscreteDistribution object that specifies the probability - of each configuration. - - Parameters - ---------- - dstn : DiscreteDistribution - The distribution over which the function is to be evaluated. - func : function - The function to be evaluated. - This function should take an array of shape dstn.dim() and return - either arrays of arbitrary shape or scalars. - It may also take other arguments \\*args. - \\*args : - Other inputs for func, representing the non-stochastic arguments. - The the expectation is computed at ``f(dstn, *args)``. - - Returns - ------- - f_exp : np.array or scalar - The expectation of the function at the queried values. - Scalar if only one value. - """ - - f_query = [func(dstn.atoms[..., i], *args) for i in range(len(dstn.pmv))] - - f_query = np.stack(f_query, axis=-1) - - # From the numpy.dot documentation: - # If both a and b are 1-D arrays, it is inner product of vectors (without complex conjugation). - # If a is an N-D array and b is a 1-D array, it is a sum product over the last axis of a and b. - # Thus, if func returns scalars, f_exp will be a scalar and if it returns arrays f_exp - # will be an array of the same shape. - f_exp = np.dot(f_query, dstn.pmv) - - return f_exp - - -def distr_of_function(dstn, func=lambda x: x, *args): - """ - Finds the distribution of a random variable Y that is a function - of discrete random variable atoms, Y=f(atoms). - - Parameters - ---------- - dstn : DiscreteDistribution - The distribution over which the function is to be evaluated. - func : function - The function to be evaluated. - This function should take an array of shape dstn.dim(). - It may also take other arguments \\*args. - \\*args : - Additional non-stochastic arguments for func, - The function is computed at ``f(dstn, *args)``. - - Returns - ------- - f_dstn : DiscreteDistribution - The distribution of func(dstn). - """ - # Apply function to every event realization - f_query = [func(dstn.atoms[..., i], *args) for i in range(len(dstn.pmv))] - - # Stack results along their last (new) axis - f_query = np.stack(f_query, axis=-1) - - f_dstn = DiscreteDistribution(dstn.pmv, f_query) - - return f_dstn - - -class MarkovProcess(Distribution): - """ - A representation of a discrete Markov process. - - Parameters - ---------- - transition_matrix : np.array - An array of floats representing a probability mass for - each state transition. - seed : int - Seed for random number generator. - - """ - - transition_matrix = None - - def __init__(self, transition_matrix, seed=0): - """ - Initialize a discrete distribution. - - """ - self.transition_matrix = transition_matrix - - # Set up the RNG - super().__init__(seed) - - def draw(self, state): - """ - Draw new states fromt the transition matrix. - - Parameters - ---------- - state : int or nd.array - The state or states (1-D array) from which to draw new states. - - Returns - ------- - new_state : int or nd.array - New states. - """ - - def sample(s): - return self._rng.choice( - self.transition_matrix.shape[1], p=self.transition_matrix[s, :] - ) - - array_sample = np.frompyfunc(sample, 1, 1) - - return array_sample(state) - - -def expected(func=None, dist=None, args=(), **kwargs): - """ - Expectation of a function, given an array of configurations of its inputs - along with a DiscreteDistribution(atomsRA) object that specifies the probability - of each configuration. - - Parameters - ---------- - func : function - The function to be evaluated. - This function should take the full array of distribution values - and return either arrays of arbitrary shape or scalars. - It may also take other arguments ``*args``. - This function differs from the standalone `calc_expectation` - method in that it uses numpy's vectorization and broadcasting - rules to avoid costly iteration. - Note: If you need to use a function that acts on single outcomes - of the distribution, consier `distribution.calc_expectation`. - dist : DiscreteDistribution or DiscreteDistributionLabeled - The distribution over which the function is to be evaluated. - args : tuple - Other inputs for func, representing the non-stochastic arguments. - The the expectation is computed at ``f(dstn, *args)``. - labels : bool - If True, the function should use labeled indexing instead of integer - indexing using the distribution's underlying rv coordinates. For example, - if `dims = ('rv', 'x')` and `coords = {'rv': ['a', 'b'], }`, then - the function can be `lambda x: x["a"] + x["b"]`. - - Returns - ------- - f_exp : np.array or scalar - The expectation of the function at the queried values. - Scalar if only one value. - """ - - if not isinstance(args, tuple): - args = (args,) - - if isinstance(dist, DiscreteDistributionLabeled): - return dist.expected(func, *args, **kwargs) - elif isinstance(dist, DiscreteDistribution): - return dist.expected(func, *args) From 235d3ce05db20dcbae59b59405fd5ea0eb88cc59 Mon Sep 17 00:00:00 2001 From: Alan Lujan Date: Thu, 7 Nov 2024 14:54:00 -0500 Subject: [PATCH 5/9] distribution to distributions --- Documentation/overview/ARKitecture.md | 8 +- .../reference/tools/distribution.rst | 2 +- HARK/Calibration/Assets/AssetProcesses.py | 2 +- HARK/Calibration/Income/IncomeProcesses.py | 2 +- HARK/ConsumptionSaving/ConsAggShockModel.py | 2 +- HARK/ConsumptionSaving/ConsBequestModel.py | 2 +- .../ConsGenIncProcessModel.py | 2 +- HARK/ConsumptionSaving/ConsIndShockModel.py | 2 +- HARK/ConsumptionSaving/ConsLabeledModel.py | 2 +- HARK/ConsumptionSaving/ConsMarkovModel.py | 2 +- HARK/ConsumptionSaving/ConsMedModel.py | 2 +- .../ConsPortfolioFrameModel.py | 2 +- HARK/ConsumptionSaving/ConsPortfolioModel.py | 2 +- HARK/ConsumptionSaving/ConsPrefShockModel.py | 2 +- HARK/ConsumptionSaving/ConsRepAgentModel.py | 2 +- HARK/ConsumptionSaving/ConsRiskyAssetModel.py | 2 +- .../ConsRiskyContribModel.py | 2 +- .../ConsWealthPortfolioModel.py | 2 +- HARK/ConsumptionSaving/LegacyOOsolvers.py | 2 +- .../TractableBufferStockModel.py | 2 +- .../tests/test_ConsAggShockModel.py | 2 +- .../tests/test_ConsMarkovModel.py | 2 +- .../tests/test_SmallOpenEconomy.py | 2 +- .../tests/test_modelcomparisons.py | 2 +- HARK/core.py | 2 +- HARK/distributions/__init__.py | 8 +- HARK/frame.py | 2 +- HARK/model.py | 2 +- HARK/models/consumer.py | 2 +- HARK/models/perfect_foresight.py | 2 +- HARK/models/perfect_foresight_normalized.py | 2 +- HARK/models/test_models.py | 2 +- HARK/parser.py | 2 +- HARK/simulation/monte_carlo.py | 2 +- HARK/simulation/test_monte_carlo.py | 2 +- HARK/tests/test_approxDstns.py | 2 +- HARK/tests/test_core.py | 2 +- HARK/tests/test_distribution.py | 2 +- HARK/tests/test_model.py | 2 +- .../example_ConsAggShockModel.ipynb | 1318 +++--- .../example_ConsMarkovModel.ipynb | 1584 +++---- .../example_TractableBufferStockModel.ipynb | 826 ++-- .../DiscreteDistributionLabeled.ipynb | 1666 +++---- .../Distributions/EquiprobableLognormal.ipynb | 1392 +++--- examples/Distributions/ExpectedValue.ipynb | 1212 ++--- examples/FrameAgentType/FrameModels.ipynb | 2356 +++++----- ...eneric Monte Carlo Perfect Foresight.ipynb | 4088 ++++++++--------- 47 files changed, 7266 insertions(+), 7266 deletions(-) diff --git a/Documentation/overview/ARKitecture.md b/Documentation/overview/ARKitecture.md index 773b53e29..92cff8145 100644 --- a/Documentation/overview/ARKitecture.md +++ b/Documentation/overview/ARKitecture.md @@ -29,11 +29,10 @@ from HARK.rewards import CRRAutility CRRAutility(1, 2) ``` -Python modules in HARK can generally be categorized into two types: tools and models. **Tool modules** contain functions and classes with general purpose tools that have no inherent ''economic content'', but that can be used in many economic models as building blocks or utilities; they could plausibly be useful in non-economic settings. Tools might include functions for data analysis (e.g. calculating Lorenz shares from data, or constructing a non-parametric kernel regression), functions to create and manipulate discrete approximations to continuous distributions, or classes for constructing interpolated approximations to non-parametric functions. The most commonly used tool modules reside in HARK's root directory and have names like **_HARK.distribution_** and **_HARK.interpolation_**. +Python modules in HARK can generally be categorized into two types: tools and models. **Tool modules** contain functions and classes with general purpose tools that have no inherent ''economic content'', but that can be used in many economic models as building blocks or utilities; they could plausibly be useful in non-economic settings. Tools might include functions for data analysis (e.g. calculating Lorenz shares from data, or constructing a non-parametric kernel regression), functions to create and manipulate discrete approximations to continuous distributions, or classes for constructing interpolated approximations to non-parametric functions. The most commonly used tool modules reside in HARK's root directory and have names like **_HARK.distributions_** and **_HARK.interpolation_**. **Model modules** specify particular economic models, including classes to represent agents in the model (and the ''market structure'' in which they interact) and functions for solving the ''one period problem'' of those models. For example, **ConsIndShockModel.py** concerns consumption-saving models in which agents have CRRA utility over consumption and face idiosyncratic shocks to permanent and transitory income. The module includes classes for representing ''types'' of consumers, along with functions for solving (several flavors of) the one period consumption-saving problem. Model modules generally have **_Model_** in their name, and the classes for representing agents all have **_Type_** at the end of their name (as instances represent a collection of ex ante homogeneous agents who share common model and parameters-- a "type"). For example, **_HARK.ConsumptionSaving.ConsIndShockModel_** includes the class **_IndShockConsumerType_**. - ## HARK After you [installed](https://docs.econ-ark.org/Documentation/guides/installation.html) or [cloned the repository of](https://github.com/econ-ark/HARK) HARK, you can explore the content of it. In the subfolder HARK, you can find a range of [general purpose tools](#general-purpose-tools), as well as the next subfolder ConsumptionSaving which has [AgentType subclasses](#agenttype-class) and [Market subclasses](#market-class). @@ -59,9 +58,9 @@ Macroeconomic models in HARK use the **_Market_** class to represent a market (o The **_HARK.utilities_** module contains a variety of general purpose tools, including some data manipulation tools (e.g. for calculating an average of data conditional on being within a percentile range of different data), basic kernel regression tools, convenience functions for retrieving information about functions, and basic plotting tools using **_matplotlib.pyplot_**. See [here](https://docs.econ-ark.org/Documentation/reference/tools/utilities.html) for further documentation. -#### HARK.distribution +#### HARK.distributions -The **_HARK.distribution_** module includes classes for representing continuous distributions in a relatively consistent framework. Critically for numeric purposes, it also has methods and functions for constructing discrete approximations to those distributions (e.g. **_approx\_lognormal()_** to approximate a log-normal distribution) as well as manipulating these representations (e.g. appending one outcome to an existing distribution, or combining independent univariate distributions into one multivariate distribution). As a convention in HARK, continuous distributions are approximated as finite discrete distributions when solving models. This both simplifies solution methods (reducing numeric integrals to simple dot products) and allows users to easily test whether their chosen degree of discretization yields a sufficient approximation to the full distribution. See [here](https://docs.econ-ark.org/Documentation/reference/tools/distribution.html) for further documentation. +The **_HARK.distributions_** module includes classes for representing continuous distributions in a relatively consistent framework. Critically for numeric purposes, it also has methods and functions for constructing discrete approximations to those distributions (e.g. **_approx\_lognormal()_** to approximate a log-normal distribution) as well as manipulating these representations (e.g. appending one outcome to an existing distribution, or combining independent univariate distributions into one multivariate distribution). As a convention in HARK, continuous distributions are approximated as finite discrete distributions when solving models. This both simplifies solution methods (reducing numeric integrals to simple dot products) and allows users to easily test whether their chosen degree of discretization yields a sufficient approximation to the full distribution. See [here](https://docs.econ-ark.org/Documentation/reference/tools/distribution.html) for further documentation. #### HARK.interpolation @@ -107,7 +106,6 @@ A discrete time model in our framework is characterized by a sequence of ''perio An instance of **_AgentType_** also has the attributes named in **_time_vary_** and **_time_inv_**, and may have other attributes that are not included in either (e.g. values not used in the model solution, but instead to construct objects used in the solution). Note that **_time_vary_** may include attributes that are never used by a function in **_solveOnePeriod_**. Most saliently, the attribute **_solution_** is time-varying but is not used to solve individual periods. - #### A Universal Solver When an instance of **_AgentType_** invokes its **_solve_** method, the solution to the agent's problem is stored in the attribute **_solution_**. The solution is computed by recursively solving the sequence of periods defined by the variables listed in **_time_vary_** and **_time_inv_** using the functions in **_solve\_one_period_**. The time-varying inputs are updated each period, including the successive period's solution as **_solution_next_**; the same values of time invariant inputs in **_time_inv_** are passed to the solver in every period. The first call to **_solve\_one\_period_** uses **_solution_terminal_** as **_solution_next_**. In an infinite horizon problem (**_cycles_=0**), the sequence of periods is solved until the solutions of successive cycles have a ''distance'' of less than **_tolerance_**. Usually, the "sequence" of periods in such models is just *one* period long. diff --git a/Documentation/reference/tools/distribution.rst b/Documentation/reference/tools/distribution.rst index 6d2627fcd..618fc93c1 100644 --- a/Documentation/reference/tools/distribution.rst +++ b/Documentation/reference/tools/distribution.rst @@ -1,7 +1,7 @@ Distribution ------------- -.. automodule:: HARK.distribution +.. automodule:: HARK.distributions :members: :undoc-members: :show-inheritance: diff --git a/HARK/Calibration/Assets/AssetProcesses.py b/HARK/Calibration/Assets/AssetProcesses.py index b716ae678..8add4a4a3 100644 --- a/HARK/Calibration/Assets/AssetProcesses.py +++ b/HARK/Calibration/Assets/AssetProcesses.py @@ -5,7 +5,7 @@ import numpy as np from scipy.optimize import minimize_scalar -from HARK.distribution import ( +from HARK.distributions import ( combine_indep_dstns, DiscreteDistributionLabeled, IndexDistribution, diff --git a/HARK/Calibration/Income/IncomeProcesses.py b/HARK/Calibration/Income/IncomeProcesses.py index 52c15c4c6..5bfa22c9b 100644 --- a/HARK/Calibration/Income/IncomeProcesses.py +++ b/HARK/Calibration/Income/IncomeProcesses.py @@ -4,7 +4,7 @@ import numpy as np from HARK.metric import MetricObject -from HARK.distribution import ( +from HARK.distributions import ( add_discrete_outcome_constant_mean, combine_indep_dstns, DiscreteDistribution, diff --git a/HARK/ConsumptionSaving/ConsAggShockModel.py b/HARK/ConsumptionSaving/ConsAggShockModel.py index d32620c8d..b2ba9ae3c 100644 --- a/HARK/ConsumptionSaving/ConsAggShockModel.py +++ b/HARK/ConsumptionSaving/ConsAggShockModel.py @@ -22,7 +22,7 @@ init_idiosyncratic_shocks, ) from HARK.ConsumptionSaving.ConsMarkovModel import MarkovConsumerType -from HARK.distribution import ( +from HARK.distributions import ( MarkovProcess, MeanOneLogNormal, Uniform, diff --git a/HARK/ConsumptionSaving/ConsBequestModel.py b/HARK/ConsumptionSaving/ConsBequestModel.py index f0bbeb801..1bf976216 100644 --- a/HARK/ConsumptionSaving/ConsBequestModel.py +++ b/HARK/ConsumptionSaving/ConsBequestModel.py @@ -36,7 +36,7 @@ make_portfolio_solution_terminal, ) from HARK.ConsumptionSaving.ConsRiskyAssetModel import make_simple_ShareGrid -from HARK.distribution import expected +from HARK.distributions import expected from HARK.interpolation import ( BilinearInterp, ConstantFunction, diff --git a/HARK/ConsumptionSaving/ConsGenIncProcessModel.py b/HARK/ConsumptionSaving/ConsGenIncProcessModel.py index 0f7dd1b6d..5f81d8e90 100644 --- a/HARK/ConsumptionSaving/ConsGenIncProcessModel.py +++ b/HARK/ConsumptionSaving/ConsGenIncProcessModel.py @@ -23,7 +23,7 @@ ConsumerSolution, IndShockConsumerType, ) -from HARK.distribution import Lognormal, expected +from HARK.distributions import Lognormal, expected from HARK.interpolation import ( BilinearInterp, ConstantFunction, diff --git a/HARK/ConsumptionSaving/ConsIndShockModel.py b/HARK/ConsumptionSaving/ConsIndShockModel.py index 098c51ed5..e5aa6a893 100644 --- a/HARK/ConsumptionSaving/ConsIndShockModel.py +++ b/HARK/ConsumptionSaving/ConsIndShockModel.py @@ -30,7 +30,7 @@ from HARK.Calibration.SCF.WealthIncomeDist.SCFDistTools import ( income_wealth_dists_from_scf, ) -from HARK.distribution import ( +from HARK.distributions import ( Lognormal, MeanOneLogNormal, Uniform, diff --git a/HARK/ConsumptionSaving/ConsLabeledModel.py b/HARK/ConsumptionSaving/ConsLabeledModel.py index 50d015f9a..1d17c3efd 100644 --- a/HARK/ConsumptionSaving/ConsLabeledModel.py +++ b/HARK/ConsumptionSaving/ConsLabeledModel.py @@ -22,7 +22,7 @@ ) from HARK.ConsumptionSaving.LegacyOOsolvers import ConsIndShockSetup from HARK.core import make_one_period_oo_solver -from HARK.distribution import DiscreteDistributionLabeled +from HARK.distributions import DiscreteDistributionLabeled from HARK.metric import MetricObject from HARK.rewards import UtilityFuncCRRA diff --git a/HARK/ConsumptionSaving/ConsMarkovModel.py b/HARK/ConsumptionSaving/ConsMarkovModel.py index 1367a378d..30edbf41a 100644 --- a/HARK/ConsumptionSaving/ConsMarkovModel.py +++ b/HARK/ConsumptionSaving/ConsMarkovModel.py @@ -19,7 +19,7 @@ PerfForesightConsumerType, make_basic_CRRA_solution_terminal, ) -from HARK.distribution import MarkovProcess, Uniform, expected +from HARK.distributions import MarkovProcess, Uniform, expected from HARK.interpolation import ( CubicInterp, LinearInterp, diff --git a/HARK/ConsumptionSaving/ConsMedModel.py b/HARK/ConsumptionSaving/ConsMedModel.py index d3991cf78..2c18f14d5 100644 --- a/HARK/ConsumptionSaving/ConsMedModel.py +++ b/HARK/ConsumptionSaving/ConsMedModel.py @@ -21,7 +21,7 @@ VariableLowerBoundFunc2D, ) from HARK.ConsumptionSaving.ConsIndShockModel import ConsumerSolution -from HARK.distribution import Lognormal, add_discrete_outcome_constant_mean, expected +from HARK.distributions import Lognormal, add_discrete_outcome_constant_mean, expected from HARK.interpolation import ( BilinearInterp, BilinearInterpOnInterp1D, diff --git a/HARK/ConsumptionSaving/ConsPortfolioFrameModel.py b/HARK/ConsumptionSaving/ConsPortfolioFrameModel.py index 7fa32d95e..cc4bbcc21 100644 --- a/HARK/ConsumptionSaving/ConsPortfolioFrameModel.py +++ b/HARK/ConsumptionSaving/ConsPortfolioFrameModel.py @@ -13,7 +13,7 @@ PortfolioConsumerType, init_portfolio, ) -from HARK.distribution import ( +from HARK.distributions import ( Bernoulli, IndexDistribution, Lognormal, diff --git a/HARK/ConsumptionSaving/ConsPortfolioModel.py b/HARK/ConsumptionSaving/ConsPortfolioModel.py index d85878dc6..0627c247c 100644 --- a/HARK/ConsumptionSaving/ConsPortfolioModel.py +++ b/HARK/ConsumptionSaving/ConsPortfolioModel.py @@ -26,7 +26,7 @@ RiskyAssetConsumerType, make_simple_ShareGrid, ) -from HARK.distribution import expected +from HARK.distributions import expected from HARK.interpolation import ( BilinearInterp, ConstantFunction, diff --git a/HARK/ConsumptionSaving/ConsPrefShockModel.py b/HARK/ConsumptionSaving/ConsPrefShockModel.py index a935686f9..d620b26da 100644 --- a/HARK/ConsumptionSaving/ConsPrefShockModel.py +++ b/HARK/ConsumptionSaving/ConsPrefShockModel.py @@ -22,7 +22,7 @@ get_PermShkDstn_from_IncShkDstn, get_TranShkDstn_from_IncShkDstn, ) -from HARK.distribution import MeanOneLogNormal, expected +from HARK.distributions import MeanOneLogNormal, expected from HARK.interpolation import ( CubicInterp, LinearInterp, diff --git a/HARK/ConsumptionSaving/ConsRepAgentModel.py b/HARK/ConsumptionSaving/ConsRepAgentModel.py index 217faa4f6..e67b18ce6 100644 --- a/HARK/ConsumptionSaving/ConsRepAgentModel.py +++ b/HARK/ConsumptionSaving/ConsRepAgentModel.py @@ -17,7 +17,7 @@ make_basic_CRRA_solution_terminal, ) from HARK.ConsumptionSaving.ConsMarkovModel import MarkovConsumerType -from HARK.distribution import MarkovProcess +from HARK.distributions import MarkovProcess from HARK.interpolation import LinearInterp, MargValueFuncCRRA from HARK.utilities import make_assets_grid diff --git a/HARK/ConsumptionSaving/ConsRiskyAssetModel.py b/HARK/ConsumptionSaving/ConsRiskyAssetModel.py index 1d077a057..2cffebb8e 100644 --- a/HARK/ConsumptionSaving/ConsRiskyAssetModel.py +++ b/HARK/ConsumptionSaving/ConsRiskyAssetModel.py @@ -22,7 +22,7 @@ get_PermShkDstn_from_IncShkDstn, get_TranShkDstn_from_IncShkDstn, ) -from HARK.distribution import ( +from HARK.distributions import ( Bernoulli, expected, IndexDistribution, diff --git a/HARK/ConsumptionSaving/ConsRiskyContribModel.py b/HARK/ConsumptionSaving/ConsRiskyContribModel.py index be4507e3e..57154cb13 100644 --- a/HARK/ConsumptionSaving/ConsRiskyContribModel.py +++ b/HARK/ConsumptionSaving/ConsRiskyContribModel.py @@ -45,7 +45,7 @@ init_risky_asset, IndShockRiskyAssetConsumerType_constructor_default, ) -from HARK.distribution import calc_expectation +from HARK.distributions import calc_expectation from HARK.interpolation import BilinearInterp # 2D interpolator from HARK.interpolation import ( ConstantFunction, # Interpolator-like class that returns constant value diff --git a/HARK/ConsumptionSaving/ConsWealthPortfolioModel.py b/HARK/ConsumptionSaving/ConsWealthPortfolioModel.py index f8937d40f..c87648b43 100644 --- a/HARK/ConsumptionSaving/ConsWealthPortfolioModel.py +++ b/HARK/ConsumptionSaving/ConsWealthPortfolioModel.py @@ -6,7 +6,7 @@ PortfolioSolution, make_portfolio_solution_terminal, ) -from HARK.distribution import expected +from HARK.distributions import expected from HARK.interpolation import ( BilinearInterp, CubicInterp, diff --git a/HARK/ConsumptionSaving/LegacyOOsolvers.py b/HARK/ConsumptionSaving/LegacyOOsolvers.py index aa209993f..d8eb62a30 100644 --- a/HARK/ConsumptionSaving/LegacyOOsolvers.py +++ b/HARK/ConsumptionSaving/LegacyOOsolvers.py @@ -10,7 +10,7 @@ from dataclasses import dataclass import numpy as np from HARK import NullFunc -from HARK.distribution import expected, calc_expectation, DiscreteDistribution +from HARK.distributions import expected, calc_expectation, DiscreteDistribution from HARK.interpolation import ( BilinearInterp, BilinearInterpOnInterp1D, diff --git a/HARK/ConsumptionSaving/TractableBufferStockModel.py b/HARK/ConsumptionSaving/TractableBufferStockModel.py index 08f5c6bb8..8eb63a2b3 100644 --- a/HARK/ConsumptionSaving/TractableBufferStockModel.py +++ b/HARK/ConsumptionSaving/TractableBufferStockModel.py @@ -27,7 +27,7 @@ from scipy.optimize import brentq, newton from HARK import AgentType, NullFunc -from HARK.distribution import Bernoulli, Lognormal +from HARK.distributions import Bernoulli, Lognormal from HARK.interpolation import CubicInterp # Import the HARK library. diff --git a/HARK/ConsumptionSaving/tests/test_ConsAggShockModel.py b/HARK/ConsumptionSaving/tests/test_ConsAggShockModel.py index 31d44393e..8db13fc54 100644 --- a/HARK/ConsumptionSaving/tests/test_ConsAggShockModel.py +++ b/HARK/ConsumptionSaving/tests/test_ConsAggShockModel.py @@ -11,7 +11,7 @@ KrusellSmithEconomy, KrusellSmithType, ) -from HARK.distribution import Uniform +from HARK.distributions import Uniform from HARK.tests import HARK_PRECISION diff --git a/HARK/ConsumptionSaving/tests/test_ConsMarkovModel.py b/HARK/ConsumptionSaving/tests/test_ConsMarkovModel.py index c5f531e07..7d5492505 100644 --- a/HARK/ConsumptionSaving/tests/test_ConsMarkovModel.py +++ b/HARK/ConsumptionSaving/tests/test_ConsMarkovModel.py @@ -7,7 +7,7 @@ MarkovConsumerType, init_indshk_markov, ) -from HARK.distribution import ( +from HARK.distributions import ( DiscreteDistribution, DiscreteDistributionLabeled, MeanOneLogNormal, diff --git a/HARK/ConsumptionSaving/tests/test_SmallOpenEconomy.py b/HARK/ConsumptionSaving/tests/test_SmallOpenEconomy.py index 9aeea94a0..4fe5f73ca 100644 --- a/HARK/ConsumptionSaving/tests/test_SmallOpenEconomy.py +++ b/HARK/ConsumptionSaving/tests/test_SmallOpenEconomy.py @@ -8,7 +8,7 @@ SmallOpenEconomy, init_cobb_douglas, ) -from HARK.distribution import Uniform +from HARK.distributions import Uniform class testSmallOpenEconomy(unittest.TestCase): diff --git a/HARK/ConsumptionSaving/tests/test_modelcomparisons.py b/HARK/ConsumptionSaving/tests/test_modelcomparisons.py index 0b4669e16..97cfa7089 100644 --- a/HARK/ConsumptionSaving/tests/test_modelcomparisons.py +++ b/HARK/ConsumptionSaving/tests/test_modelcomparisons.py @@ -19,7 +19,7 @@ ) from HARK.ConsumptionSaving.ConsMarkovModel import MarkovConsumerType from HARK.ConsumptionSaving.TractableBufferStockModel import TractableConsumerType -from HARK.distribution import DiscreteDistributionLabeled +from HARK.distributions import DiscreteDistributionLabeled class Compare_PerfectForesight_and_Infinite(unittest.TestCase): diff --git a/HARK/core.py b/HARK/core.py index adf141556..2a98868b0 100644 --- a/HARK/core.py +++ b/HARK/core.py @@ -20,7 +20,7 @@ import numpy as np import pandas as pd -from HARK.distribution import ( +from HARK.distributions import ( Distribution, IndexDistribution, TimeVaryingDiscreteDistribution, diff --git a/HARK/distributions/__init__.py b/HARK/distributions/__init__.py index def542ab4..da512f5ce 100644 --- a/HARK/distributions/__init__.py +++ b/HARK/distributions/__init__.py @@ -25,8 +25,6 @@ ] from HARK.distributions.base import ( - DiscreteDistribution, - DiscreteDistributionLabeled, Distribution, IndexDistribution, MarkovProcess, @@ -39,7 +37,11 @@ Uniform, Weibull, ) -from HARK.distributions.discrete import Bernoulli +from HARK.distributions.discrete import ( + Bernoulli, + DiscreteDistribution, + DiscreteDistributionLabeled, +) from HARK.distributions.multivariate import MVLogNormal, MVNormal from HARK.distributions.utils import ( add_discrete_outcome_constant_mean, diff --git a/HARK/frame.py b/HARK/frame.py index 968df180e..a88a05ca5 100644 --- a/HARK/frame.py +++ b/HARK/frame.py @@ -7,7 +7,7 @@ import numpy as np from HARK import AgentType, Model -from HARK.distribution import Distribution +from HARK.distributions import Distribution class Frame: diff --git a/HARK/model.py b/HARK/model.py index d20e3341a..368ef783e 100644 --- a/HARK/model.py +++ b/HARK/model.py @@ -4,7 +4,7 @@ from dataclasses import dataclass, field, replace from copy import copy, deepcopy -from HARK.distribution import ( +from HARK.distributions import ( Distribution, DiscreteDistributionLabeled, combine_indep_dstns, diff --git a/HARK/models/consumer.py b/HARK/models/consumer.py index 5a990b4e8..bca895260 100644 --- a/HARK/models/consumer.py +++ b/HARK/models/consumer.py @@ -1,4 +1,4 @@ -from HARK.distribution import Bernoulli, Lognormal, MeanOneLogNormal +from HARK.distributions import Bernoulli, Lognormal, MeanOneLogNormal from HARK.model import Control, DBlock, RBlock """ diff --git a/HARK/models/perfect_foresight.py b/HARK/models/perfect_foresight.py index 22b02ad83..8a54bfb2d 100644 --- a/HARK/models/perfect_foresight.py +++ b/HARK/models/perfect_foresight.py @@ -1,4 +1,4 @@ -from HARK.distribution import Bernoulli +from HARK.distributions import Bernoulli from HARK.model import Control, DBlock # This way of distributing parameters across the scope is clunky diff --git a/HARK/models/perfect_foresight_normalized.py b/HARK/models/perfect_foresight_normalized.py index 544a14fbc..2b63dec3c 100644 --- a/HARK/models/perfect_foresight_normalized.py +++ b/HARK/models/perfect_foresight_normalized.py @@ -1,4 +1,4 @@ -from HARK.distribution import Bernoulli +from HARK.distributions import Bernoulli from HARK.model import Control, DBlock # This way of distributing parameters across the scope is clunky diff --git a/HARK/models/test_models.py b/HARK/models/test_models.py index 9cb9152d1..8cc9f8c57 100644 --- a/HARK/models/test_models.py +++ b/HARK/models/test_models.py @@ -1,4 +1,4 @@ -from HARK.distribution import Lognormal +from HARK.distributions import Lognormal import HARK.models.consumer as cons import HARK.models.perfect_foresight as pfm import HARK.models.perfect_foresight_normalized as pfnm diff --git a/HARK/parser.py b/HARK/parser.py index 3f21ff7f9..72f197c20 100644 --- a/HARK/parser.py +++ b/HARK/parser.py @@ -1,4 +1,4 @@ -from HARK.distribution import Bernoulli, Lognormal, MeanOneLogNormal +from HARK.distributions import Bernoulli, Lognormal, MeanOneLogNormal from sympy.utilities.lambdify import lambdify from sympy.parsing.sympy_parser import parse_expr import yaml diff --git a/HARK/simulation/monte_carlo.py b/HARK/simulation/monte_carlo.py index 2aa887710..ad99f0c0e 100644 --- a/HARK/simulation/monte_carlo.py +++ b/HARK/simulation/monte_carlo.py @@ -7,7 +7,7 @@ import numpy as np -from HARK.distribution import ( +from HARK.distributions import ( Distribution, IndexDistribution, TimeVaryingDiscreteDistribution, diff --git a/HARK/simulation/test_monte_carlo.py b/HARK/simulation/test_monte_carlo.py index b431f3494..7f2329703 100644 --- a/HARK/simulation/test_monte_carlo.py +++ b/HARK/simulation/test_monte_carlo.py @@ -4,7 +4,7 @@ import unittest -from HARK.distribution import Bernoulli, IndexDistribution, MeanOneLogNormal +from HARK.distributions import Bernoulli, IndexDistribution, MeanOneLogNormal from HARK.model import Aggregate, Control, DBlock from HARK.simulation.monte_carlo import * diff --git a/HARK/tests/test_approxDstns.py b/HARK/tests/test_approxDstns.py index 2a0ff75f6..800c88551 100644 --- a/HARK/tests/test_approxDstns.py +++ b/HARK/tests/test_approxDstns.py @@ -7,7 +7,7 @@ import numpy as np # Bring in modules we need -import HARK.distribution as distribution +import HARK.distributions as distribution class testsForDCEGM(unittest.TestCase): diff --git a/HARK/tests/test_core.py b/HARK/tests/test_core.py index 102d23deb..d5e904b6b 100644 --- a/HARK/tests/test_core.py +++ b/HARK/tests/test_core.py @@ -12,7 +12,7 @@ init_idiosyncratic_shocks, ) from HARK.core import AgentPopulation, AgentType, Parameters, distribute_params -from HARK.distribution import Uniform +from HARK.distributions import Uniform from HARK.metric import MetricObject, distance_metric diff --git a/HARK/tests/test_distribution.py b/HARK/tests/test_distribution.py index d31d439a0..da1500eb1 100644 --- a/HARK/tests/test_distribution.py +++ b/HARK/tests/test_distribution.py @@ -3,7 +3,7 @@ import numpy as np import xarray as xr -from HARK.distribution import ( +from HARK.distributions import ( Bernoulli, DiscreteDistribution, DiscreteDistributionLabeled, diff --git a/HARK/tests/test_model.py b/HARK/tests/test_model.py index 0632a6a7f..cc19ad30c 100644 --- a/HARK/tests/test_model.py +++ b/HARK/tests/test_model.py @@ -1,6 +1,6 @@ import unittest -from HARK.distribution import Bernoulli, DiscreteDistribution +from HARK.distributions import Bernoulli, DiscreteDistribution import HARK.model as model from HARK.model import Control import HARK.models.consumer as cons diff --git a/examples/ConsumptionSaving/example_ConsAggShockModel.ipynb b/examples/ConsumptionSaving/example_ConsAggShockModel.ipynb index 61ca9abc0..f7ac6923d 100644 --- a/examples/ConsumptionSaving/example_ConsAggShockModel.ipynb +++ b/examples/ConsumptionSaving/example_ConsAggShockModel.ipynb @@ -1,662 +1,662 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "tags": [] - }, - "source": [ - "# Example ConsAggShockModel" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:23:22.349452Z", - "iopub.status.busy": "2024-07-11T15:23:22.349156Z", - "iopub.status.idle": "2024-07-11T15:23:23.282879Z", - "shell.execute_reply": "2024-07-11T15:23:23.282351Z" - } - }, - "outputs": [], - "source": [ - "from copy import deepcopy\n", - "from time import process_time\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "from HARK.ConsumptionSaving.ConsAggShockModel import (\n", - " AggShockConsumerType,\n", - " AggShockMarkovConsumerType,\n", - " CobbDouglasEconomy,\n", - " CobbDouglasMarkovEconomy,\n", - ")\n", - "from HARK.distribution import DiscreteDistribution\n", - "from HARK.utilities import plot_funcs\n", - "\n", - "\n", - "def mystr(number):\n", - " return f\"{number:.4f}\"" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:23:23.284817Z", - "iopub.status.busy": "2024-07-11T15:23:23.284556Z", - "iopub.status.idle": "2024-07-11T15:23:23.287378Z", - "shell.execute_reply": "2024-07-11T15:23:23.286915Z" - } - }, - "outputs": [], - "source": [ - "# Solve an AggShockConsumerType's microeconomic problem\n", - "solve_agg_shocks_micro = False\n", - "# Solve for the equilibrium aggregate saving rule in a CobbDouglasEconomy\n", - "solve_agg_shocks_market = True\n", - "# Solve an AggShockMarkovConsumerType's microeconomic problem\n", - "solve_markov_micro = False\n", - "# Solve for the equilibrium aggregate saving rule in a CobbDouglasMarkovEconomy\n", - "solve_markov_market = False\n", - "# Solve a simple Krusell-Smith-style two state, two shock model\n", - "solve_krusell_smith = True\n", - "# Solve a CobbDouglasEconomy with many states, potentially utilizing the \"state jumper\"\n", - "solve_poly_state = False" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Example implementation of AggShockConsumerType" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:23:23.288851Z", - "iopub.status.busy": "2024-07-11T15:23:23.288677Z", - "iopub.status.idle": "2024-07-11T15:23:23.297131Z", - "shell.execute_reply": "2024-07-11T15:23:23.296662Z" - } - }, - "outputs": [], - "source": [ - "if solve_agg_shocks_micro or solve_agg_shocks_market:\n", - " # Make an aggregate shocks consumer type\n", - " AggShockExample = AggShockConsumerType()\n", - " AggShockExample.cycles = 0\n", - "\n", - " # Make a Cobb-Douglas economy for the agents\n", - " EconomyExample = CobbDouglasEconomy(agents=[AggShockExample])\n", - " EconomyExample.make_AggShkHist() # Simulate a history of aggregate shocks\n", - "\n", - " # Have the consumers inherit relevant objects from the economy\n", - " AggShockExample.get_economy_data(EconomyExample)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:23:23.298622Z", - "iopub.status.busy": "2024-07-11T15:23:23.298385Z", - "iopub.status.idle": "2024-07-11T15:23:23.301612Z", - "shell.execute_reply": "2024-07-11T15:23:23.301166Z" - } - }, - "outputs": [], - "source": [ - "if solve_agg_shocks_micro:\n", - " # Solve the microeconomic model for the aggregate shocks example type (and display results)\n", - " t_start = process_time()\n", - " AggShockExample.solve()\n", - " t_end = process_time()\n", - " print(\n", - " \"Solving an aggregate shocks consumer took \"\n", - " + mystr(t_end - t_start)\n", - " + \" seconds.\",\n", - " )\n", - " print(\n", - " \"Consumption function at each aggregate market resources-to-labor ratio gridpoint:\",\n", - " )\n", - " m_grid = np.linspace(0, 10, 200)\n", - " AggShockExample.unpack(\"cFunc\")\n", - " for M in AggShockExample.Mgrid.tolist():\n", - " mMin = AggShockExample.solution[0].mNrmMin(M)\n", - " c_at_this_M = AggShockExample.cFunc[0](m_grid + mMin, M * np.ones_like(m_grid))\n", - " plt.plot(m_grid + mMin, c_at_this_M)\n", - " plt.ylim(0.0, None)\n", - " plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:23:23.302965Z", - "iopub.status.busy": "2024-07-11T15:23:23.302762Z", - "iopub.status.idle": "2024-07-11T15:25:57.519420Z", - "shell.execute_reply": "2024-07-11T15:25:57.518916Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Now solving for the equilibrium of a Cobb-Douglas economy. This might take a few minutes...\n" - ] + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "tags": [] + }, + "source": [ + "# Example ConsAggShockModel" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:23:22.349452Z", + "iopub.status.busy": "2024-07-11T15:23:22.349156Z", + "iopub.status.idle": "2024-07-11T15:23:23.282879Z", + "shell.execute_reply": "2024-07-11T15:23:23.282351Z" + } + }, + "outputs": [], + "source": [ + "from copy import deepcopy\n", + "from time import process_time\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "from HARK.ConsumptionSaving.ConsAggShockModel import (\n", + " AggShockConsumerType,\n", + " AggShockMarkovConsumerType,\n", + " CobbDouglasEconomy,\n", + " CobbDouglasMarkovEconomy,\n", + ")\n", + "from HARK.distributions import DiscreteDistribution\n", + "from HARK.utilities import plot_funcs\n", + "\n", + "\n", + "def mystr(number):\n", + " return f\"{number:.4f}\"" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:23:23.284817Z", + "iopub.status.busy": "2024-07-11T15:23:23.284556Z", + "iopub.status.idle": "2024-07-11T15:23:23.287378Z", + "shell.execute_reply": "2024-07-11T15:23:23.286915Z" + } + }, + "outputs": [], + "source": [ + "# Solve an AggShockConsumerType's microeconomic problem\n", + "solve_agg_shocks_micro = False\n", + "# Solve for the equilibrium aggregate saving rule in a CobbDouglasEconomy\n", + "solve_agg_shocks_market = True\n", + "# Solve an AggShockMarkovConsumerType's microeconomic problem\n", + "solve_markov_micro = False\n", + "# Solve for the equilibrium aggregate saving rule in a CobbDouglasMarkovEconomy\n", + "solve_markov_market = False\n", + "# Solve a simple Krusell-Smith-style two state, two shock model\n", + "solve_krusell_smith = True\n", + "# Solve a CobbDouglasEconomy with many states, potentially utilizing the \"state jumper\"\n", + "solve_poly_state = False" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Example implementation of AggShockConsumerType" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:23:23.288851Z", + "iopub.status.busy": "2024-07-11T15:23:23.288677Z", + "iopub.status.idle": "2024-07-11T15:23:23.297131Z", + "shell.execute_reply": "2024-07-11T15:23:23.296662Z" + } + }, + "outputs": [], + "source": [ + "if solve_agg_shocks_micro or solve_agg_shocks_market:\n", + " # Make an aggregate shocks consumer type\n", + " AggShockExample = AggShockConsumerType()\n", + " AggShockExample.cycles = 0\n", + "\n", + " # Make a Cobb-Douglas economy for the agents\n", + " EconomyExample = CobbDouglasEconomy(agents=[AggShockExample])\n", + " EconomyExample.make_AggShkHist() # Simulate a history of aggregate shocks\n", + "\n", + " # Have the consumers inherit relevant objects from the economy\n", + " AggShockExample.get_economy_data(EconomyExample)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:23:23.298622Z", + "iopub.status.busy": "2024-07-11T15:23:23.298385Z", + "iopub.status.idle": "2024-07-11T15:23:23.301612Z", + "shell.execute_reply": "2024-07-11T15:23:23.301166Z" + } + }, + "outputs": [], + "source": [ + "if solve_agg_shocks_micro:\n", + " # Solve the microeconomic model for the aggregate shocks example type (and display results)\n", + " t_start = process_time()\n", + " AggShockExample.solve()\n", + " t_end = process_time()\n", + " print(\n", + " \"Solving an aggregate shocks consumer took \"\n", + " + mystr(t_end - t_start)\n", + " + \" seconds.\",\n", + " )\n", + " print(\n", + " \"Consumption function at each aggregate market resources-to-labor ratio gridpoint:\",\n", + " )\n", + " m_grid = np.linspace(0, 10, 200)\n", + " AggShockExample.unpack(\"cFunc\")\n", + " for M in AggShockExample.Mgrid.tolist():\n", + " mMin = AggShockExample.solution[0].mNrmMin(M)\n", + " c_at_this_M = AggShockExample.cFunc[0](m_grid + mMin, M * np.ones_like(m_grid))\n", + " plt.plot(m_grid + mMin, c_at_this_M)\n", + " plt.ylim(0.0, None)\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:23:23.302965Z", + "iopub.status.busy": "2024-07-11T15:23:23.302762Z", + "iopub.status.idle": "2024-07-11T15:25:57.519420Z", + "shell.execute_reply": "2024-07-11T15:25:57.518916Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Now solving for the equilibrium of a Cobb-Douglas economy. This might take a few minutes...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=-0.33966384051602827, slope=1.102624348735711, r-sq=0.9966224603747361\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=-0.4959923714165125, slope=1.1479009506512385, r-sq=0.99473669162057\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=-0.45166864478060786, slope=1.1124057973784134, r-sq=0.9821113562470477\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=-0.3840154156210827, slope=1.0841395602960584, r-sq=0.9875705261040257\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=-0.36198128155029563, slope=1.0753681485578617, r-sq=0.9905843996750162\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=-0.3523090029998188, slope=1.0715656485158445, r-sq=0.9908961093312041\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=-0.34805666066738283, slope=1.0699082913395124, r-sq=0.9910154806768872\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=-0.3461952993752169, slope=1.0691876132809157, r-sq=0.991065010874361\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=-0.3453850118498396, slope=1.0688755589956198, r-sq=0.9910860802385022\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=-0.3450341442894489, slope=1.068741033425316, r-sq=0.9910951040899086\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=-0.3448829558954367, slope=1.0686832829276534, r-sq=0.9910989700363684\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=-0.3448180900636173, slope=1.0686585844571508, r-sq=0.991100623001836\n", + "Solving the \"macroeconomic\" aggregate shocks model took 154.01046979999998 seconds.\n", + "Aggregate savings as a function of aggregate market resources:\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/mnt/c/Users/alujan/GitHub/alanlujan91/HARK/HARK/ConsumptionSaving/ConsAggShockModel.py:3207: RuntimeWarning: divide by zero encountered in log\n", + " Aagg = np.exp(self.intercept + self.slope * np.log(Mnow))\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Consumption function at each aggregate market resources gridpoint (in general equilibrium):\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if solve_agg_shocks_market:\n", + " # Solve the \"macroeconomic\" model by searching for a \"fixed point dynamic rule\"\n", + " t_start = process_time()\n", + " print(\n", + " \"Now solving for the equilibrium of a Cobb-Douglas economy. This might take a few minutes...\",\n", + " )\n", + " EconomyExample.solve()\n", + " t_end = process_time()\n", + " print(\n", + " 'Solving the \"macroeconomic\" aggregate shocks model took '\n", + " + str(t_end - t_start)\n", + " + \" seconds.\",\n", + " )\n", + "\n", + " print(\"Aggregate savings as a function of aggregate market resources:\")\n", + " plot_funcs(EconomyExample.AFunc, 0, 2 * EconomyExample.kSS)\n", + " print(\n", + " \"Consumption function at each aggregate market resources gridpoint (in general equilibrium):\",\n", + " )\n", + " AggShockExample.unpack(\"cFunc\")\n", + " m_grid = np.linspace(0, 10, 200)\n", + " AggShockExample.unpack(\"cFunc\")\n", + " for M in AggShockExample.Mgrid.tolist():\n", + " mMin = AggShockExample.solution[0].mNrmMin(M)\n", + " c_at_this_M = AggShockExample.cFunc[0](m_grid + mMin, M * np.ones_like(m_grid))\n", + " plt.plot(m_grid + mMin, c_at_this_M)\n", + " plt.ylim(0.0, None)\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Example Implementations of AggShockMarkovConsumerType" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:25:57.521152Z", + "iopub.status.busy": "2024-07-11T15:25:57.520884Z", + "iopub.status.idle": "2024-07-11T15:25:57.550165Z", + "shell.execute_reply": "2024-07-11T15:25:57.549432Z" + } + }, + "outputs": [], + "source": [ + "if solve_markov_micro or solve_markov_market or solve_krusell_smith:\n", + " # Make a Markov aggregate shocks consumer type\n", + " AggShockMrkvExample = AggShockMarkovConsumerType()\n", + " AggShockMrkvExample.IncShkDstn = [2 * [AggShockMrkvExample.IncShkDstn[0]]]\n", + " AggShockMrkvExample.cycles = 0\n", + "\n", + " # Make a Cobb-Douglas economy for the agents\n", + " MrkvEconomyExample = CobbDouglasMarkovEconomy(agents=[AggShockMrkvExample])\n", + " MrkvEconomyExample.DampingFac = 0.2 # Turn down damping\n", + " MrkvEconomyExample.make_AggShkHist() # Simulate a history of aggregate shocks\n", + " AggShockMrkvExample.get_economy_data(\n", + " MrkvEconomyExample,\n", + " ) # Have the consumers inherit relevant objects from the economy" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:25:57.552124Z", + "iopub.status.busy": "2024-07-11T15:25:57.551838Z", + "iopub.status.idle": "2024-07-11T15:25:57.556201Z", + "shell.execute_reply": "2024-07-11T15:25:57.555663Z" + } + }, + "outputs": [], + "source": [ + "if solve_markov_micro:\n", + " # Solve the microeconomic model for the Markov aggregate shocks example type (and display results)\n", + " t_start = process_time()\n", + " AggShockMrkvExample.solve()\n", + " t_end = process_time()\n", + " print(\n", + " \"Solving an aggregate shocks Markov consumer took \"\n", + " + mystr(t_end - t_start)\n", + " + \" seconds.\",\n", + " )\n", + "\n", + " print(\n", + " \"Consumption function at each aggregate market \\\n", + " resources-to-labor ratio gridpoint (for each macro state):\",\n", + " )\n", + " m_grid = np.linspace(0, 10, 200)\n", + " AggShockMrkvExample.unpack(\"cFunc\")\n", + " for i in range(2):\n", + " for M in AggShockMrkvExample.Mgrid.tolist():\n", + " mMin = AggShockMrkvExample.solution[0].mNrmMin[i](M)\n", + " c_at_this_M = AggShockMrkvExample.cFunc[0][i](\n", + " m_grid + mMin,\n", + " M * np.ones_like(m_grid),\n", + " )\n", + " plt.plot(m_grid + mMin, c_at_this_M)\n", + " plt.ylim(0.0, None)\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:25:57.557710Z", + "iopub.status.busy": "2024-07-11T15:25:57.557447Z", + "iopub.status.idle": "2024-07-11T15:25:57.561222Z", + "shell.execute_reply": "2024-07-11T15:25:57.560704Z" + } + }, + "outputs": [], + "source": [ + "if solve_markov_market:\n", + " # Solve the \"macroeconomic\" model by searching for a \"fixed point dynamic rule\"\n", + " t_start = process_time()\n", + " print(\"Now solving a two-state Markov economy. This should take a few minutes...\")\n", + " MrkvEconomyExample.solve()\n", + " t_end = process_time()\n", + " print(\n", + " 'Solving the \"macroeconomic\" aggregate shocks model took '\n", + " + str(t_end - t_start)\n", + " + \" seconds.\",\n", + " )\n", + "\n", + " print(\n", + " \"Consumption function at each aggregate market \\\n", + " resources-to-labor ratio gridpoint (for each macro state):\",\n", + " )\n", + " m_grid = np.linspace(0, 10, 200)\n", + " AggShockMrkvExample.unpack(\"cFunc\")\n", + " for i in range(2):\n", + " for M in AggShockMrkvExample.Mgrid.tolist():\n", + " mMin = AggShockMrkvExample.solution[0].mNrmMin[i](M)\n", + " c_at_this_M = AggShockMrkvExample.cFunc[0][i](\n", + " m_grid + mMin,\n", + " M * np.ones_like(m_grid),\n", + " )\n", + " plt.plot(m_grid + mMin, c_at_this_M)\n", + " plt.ylim(0.0, None)\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:25:57.562719Z", + "iopub.status.busy": "2024-07-11T15:25:57.562451Z", + "iopub.status.idle": "2024-07-11T15:26:38.867366Z", + "shell.execute_reply": "2024-07-11T15:26:38.866872Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Now solving a Krusell-Smith-style economy. This should take about a minute...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=[-0.5817183825422839, -0.5703319414353534], slope=[1.180307914835392, 1.182408206717251], r-sq=[0.9975542198241366, 0.9980320884475001]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=[-0.4180260563496857, -0.41316539564814475], slope=[1.08342735891103, 1.0852799171504508], r-sq=[0.99973377603989, 0.9993225507148125]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=[-0.3600899736514895, -0.35512016452337497], slope=[1.0714753213364976, 1.0712256905434414], r-sq=[0.9999986714166439, 0.9999961301697309]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=[-0.3788395320005977, -0.3715109817321105], slope=[1.0786573434429672, 1.0774887741894947], r-sq=[0.9999982037028008, 0.9999942754223826]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=[-0.37896012954317376, -0.37156486819095047], slope=[1.0787111353569707, 1.0775241504232804], r-sq=[0.9999982049718272, 0.9999940788572959]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=[-0.37899550407019866, -0.3715956660284524], slope=[1.0787232463104646, 1.0775357473879463], r-sq=[0.9999982037318698, 0.9999940713848707]\n", + "Solving the Krusell-Smith model took 41.253191999999984 seconds.\n" + ] + } + ], + "source": [ + "if solve_krusell_smith:\n", + " # Make a Krusell-Smith agent type\n", + " # NOTE: These agents aren't exactly like KS, as they don't have serially correlated unemployment\n", + " KSexampleType = deepcopy(AggShockMrkvExample)\n", + " KSexampleType.IncShkDstn[0] = [\n", + " DiscreteDistribution(\n", + " np.array([0.96, 0.04]),\n", + " np.array([[1.0, 1.0], [1.0 / 0.96, 0.0]]),\n", + " ),\n", + " DiscreteDistribution(\n", + " np.array([0.90, 0.10]),\n", + " np.array([[1.0, 1.0], [1.0 / 0.90, 0.0]]),\n", + " ),\n", + " ]\n", + "\n", + " # Make a KS economy\n", + " KSeconomy = deepcopy(MrkvEconomyExample)\n", + " KSeconomy.agents = [KSexampleType]\n", + " KSeconomy.AggShkDstn = [\n", + " DiscreteDistribution(\n", + " np.array([1.0]),\n", + " np.array([[1.0], [1.05]]),\n", + " ),\n", + " DiscreteDistribution(\n", + " np.array([1.0]),\n", + " np.array([[1.0], [0.95]]),\n", + " ),\n", + " ]\n", + " KSeconomy.PermGroFacAgg = [1.0, 1.0]\n", + " KSexampleType.get_economy_data(KSeconomy)\n", + " KSeconomy.make_AggShkHist()\n", + "\n", + " # Solve the K-S model\n", + " t_start = process_time()\n", + " print(\n", + " \"Now solving a Krusell-Smith-style economy. This should take about a minute...\",\n", + " )\n", + " KSeconomy.solve()\n", + " t_end = process_time()\n", + " print(\"Solving the Krusell-Smith model took \" + str(t_end - t_start) + \" seconds.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:26:38.869121Z", + "iopub.status.busy": "2024-07-11T15:26:38.868870Z", + "iopub.status.idle": "2024-07-11T15:26:38.873890Z", + "shell.execute_reply": "2024-07-11T15:26:38.873386Z" + } + }, + "outputs": [], + "source": [ + "if solve_poly_state:\n", + " StateCount = 15 # Number of Markov states\n", + " GrowthAvg = 1.01 # Average permanent income growth factor\n", + " GrowthWidth = 0.02 # PermGroFacAgg deviates from PermGroFacAgg in this range\n", + " Persistence = 0.90 # Probability of staying in the same Markov state\n", + " PermGroFacAgg = np.linspace(\n", + " GrowthAvg - GrowthWidth,\n", + " GrowthAvg + GrowthWidth,\n", + " num=StateCount,\n", + " )\n", + "\n", + " # Make the Markov array with chosen states and persistence\n", + " PolyMrkvArray = np.zeros((StateCount, StateCount))\n", + " for i in range(StateCount):\n", + " for j in range(StateCount):\n", + " if i == j:\n", + " PolyMrkvArray[i, j] = Persistence\n", + " elif (i == (j - 1)) or (i == (j + 1)):\n", + " PolyMrkvArray[i, j] = 0.5 * (1.0 - Persistence)\n", + " PolyMrkvArray[0, 0] += 0.5 * (1.0 - Persistence)\n", + " PolyMrkvArray[StateCount - 1, StateCount - 1] += 0.5 * (1.0 - Persistence)\n", + "\n", + " # Make a consumer type to inhabit the economy\n", + " PolyStateExample = AggShockMarkovConsumerType()\n", + " PolyStateExample.MrkvArray = PolyMrkvArray\n", + " PolyStateExample.PermGroFacAgg = PermGroFacAgg\n", + " PolyStateExample.IncShkDstn[0] = StateCount * [PolyStateExample.IncShkDstn[0]]\n", + " PolyStateExample.cycles = 0\n", + "\n", + " # Make a Cobb-Douglas economy for the agents\n", + " # Use verbose=False to remove printing of intercept\n", + " PolyStateEconomy = CobbDouglasMarkovEconomy(\n", + " agents=[PolyStateExample],\n", + " verbose=False,\n", + " )\n", + " PolyStateEconomy.MrkvArray = PolyMrkvArray\n", + " PolyStateEconomy.PermGroFacAgg = PermGroFacAgg\n", + " PolyStateEconomy.PermShkAggStd = StateCount * [0.006]\n", + " PolyStateEconomy.TranShkAggStd = StateCount * [0.003]\n", + " PolyStateEconomy.slope_prev = StateCount * [1.0]\n", + " PolyStateEconomy.intercept_prev = StateCount * [0.0]\n", + " PolyStateEconomy.update()\n", + " PolyStateEconomy.makeAggShkDstn()\n", + " PolyStateEconomy.make_AggShkHist() # Simulate a history of aggregate shocks\n", + " PolyStateExample.get_economy_data(\n", + " PolyStateEconomy,\n", + " ) # Have the consumers inherit relevant objects from the economy\n", + "\n", + " # Solve the many state model\n", + " t_start = process_time()\n", + " print(\n", + " \"Now solving an economy with \"\n", + " + str(StateCount)\n", + " + \" Markov states. This might take a while...\",\n", + " )\n", + " PolyStateEconomy.solve()\n", + " t_end = process_time()\n", + " print(\n", + " \"Solving a model with \"\n", + " + str(StateCount)\n", + " + \" states took \"\n", + " + str(t_end - t_start)\n", + " + \" seconds.\",\n", + " )" + ] + } + ], + "metadata": { + "jupytext": { + "cell_metadata_filter": "-all", + "formats": "ipynb,py:percent" + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + }, + "latex_envs": { + "LaTeX_envs_menu_present": true, + "autoclose": false, + "autocomplete": true, + "bibliofile": "biblio.bib", + "cite_by": "apalike", + "current_citInitial": 1, + "eqLabelWithNumbers": true, + "eqNumInitial": 1, + "hotkeys": { + "equation": "Ctrl-E", + "itemize": "Ctrl-I" + }, + "labels_anchors": false, + "latex_user_defs": false, + "report_style_numbering": false, + "user_envs_cfg": false + } }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=-0.33966384051602827, slope=1.102624348735711, r-sq=0.9966224603747361\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=-0.4959923714165125, slope=1.1479009506512385, r-sq=0.99473669162057\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=-0.45166864478060786, slope=1.1124057973784134, r-sq=0.9821113562470477\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=-0.3840154156210827, slope=1.0841395602960584, r-sq=0.9875705261040257\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=-0.36198128155029563, slope=1.0753681485578617, r-sq=0.9905843996750162\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=-0.3523090029998188, slope=1.0715656485158445, r-sq=0.9908961093312041\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=-0.34805666066738283, slope=1.0699082913395124, r-sq=0.9910154806768872\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=-0.3461952993752169, slope=1.0691876132809157, r-sq=0.991065010874361\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=-0.3453850118498396, slope=1.0688755589956198, r-sq=0.9910860802385022\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=-0.3450341442894489, slope=1.068741033425316, r-sq=0.9910951040899086\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=-0.3448829558954367, slope=1.0686832829276534, r-sq=0.9910989700363684\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=-0.3448180900636173, slope=1.0686585844571508, r-sq=0.991100623001836\n", - "Solving the \"macroeconomic\" aggregate shocks model took 154.01046979999998 seconds.\n", - "Aggregate savings as a function of aggregate market resources:\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/mnt/c/Users/alujan/GitHub/alanlujan91/HARK/HARK/ConsumptionSaving/ConsAggShockModel.py:3207: RuntimeWarning: divide by zero encountered in log\n", - " Aagg = np.exp(self.intercept + self.slope * np.log(Mnow))\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Consumption function at each aggregate market resources gridpoint (in general equilibrium):\n" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "if solve_agg_shocks_market:\n", - " # Solve the \"macroeconomic\" model by searching for a \"fixed point dynamic rule\"\n", - " t_start = process_time()\n", - " print(\n", - " \"Now solving for the equilibrium of a Cobb-Douglas economy. This might take a few minutes...\",\n", - " )\n", - " EconomyExample.solve()\n", - " t_end = process_time()\n", - " print(\n", - " 'Solving the \"macroeconomic\" aggregate shocks model took '\n", - " + str(t_end - t_start)\n", - " + \" seconds.\",\n", - " )\n", - "\n", - " print(\"Aggregate savings as a function of aggregate market resources:\")\n", - " plot_funcs(EconomyExample.AFunc, 0, 2 * EconomyExample.kSS)\n", - " print(\n", - " \"Consumption function at each aggregate market resources gridpoint (in general equilibrium):\",\n", - " )\n", - " AggShockExample.unpack(\"cFunc\")\n", - " m_grid = np.linspace(0, 10, 200)\n", - " AggShockExample.unpack(\"cFunc\")\n", - " for M in AggShockExample.Mgrid.tolist():\n", - " mMin = AggShockExample.solution[0].mNrmMin(M)\n", - " c_at_this_M = AggShockExample.cFunc[0](m_grid + mMin, M * np.ones_like(m_grid))\n", - " plt.plot(m_grid + mMin, c_at_this_M)\n", - " plt.ylim(0.0, None)\n", - " plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Example Implementations of AggShockMarkovConsumerType" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:25:57.521152Z", - "iopub.status.busy": "2024-07-11T15:25:57.520884Z", - "iopub.status.idle": "2024-07-11T15:25:57.550165Z", - "shell.execute_reply": "2024-07-11T15:25:57.549432Z" - } - }, - "outputs": [], - "source": [ - "if solve_markov_micro or solve_markov_market or solve_krusell_smith:\n", - " # Make a Markov aggregate shocks consumer type\n", - " AggShockMrkvExample = AggShockMarkovConsumerType()\n", - " AggShockMrkvExample.IncShkDstn = [2 * [AggShockMrkvExample.IncShkDstn[0]]]\n", - " AggShockMrkvExample.cycles = 0\n", - "\n", - " # Make a Cobb-Douglas economy for the agents\n", - " MrkvEconomyExample = CobbDouglasMarkovEconomy(agents=[AggShockMrkvExample])\n", - " MrkvEconomyExample.DampingFac = 0.2 # Turn down damping\n", - " MrkvEconomyExample.make_AggShkHist() # Simulate a history of aggregate shocks\n", - " AggShockMrkvExample.get_economy_data(\n", - " MrkvEconomyExample,\n", - " ) # Have the consumers inherit relevant objects from the economy" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:25:57.552124Z", - "iopub.status.busy": "2024-07-11T15:25:57.551838Z", - "iopub.status.idle": "2024-07-11T15:25:57.556201Z", - "shell.execute_reply": "2024-07-11T15:25:57.555663Z" - } - }, - "outputs": [], - "source": [ - "if solve_markov_micro:\n", - " # Solve the microeconomic model for the Markov aggregate shocks example type (and display results)\n", - " t_start = process_time()\n", - " AggShockMrkvExample.solve()\n", - " t_end = process_time()\n", - " print(\n", - " \"Solving an aggregate shocks Markov consumer took \"\n", - " + mystr(t_end - t_start)\n", - " + \" seconds.\",\n", - " )\n", - "\n", - " print(\n", - " \"Consumption function at each aggregate market \\\n", - " resources-to-labor ratio gridpoint (for each macro state):\",\n", - " )\n", - " m_grid = np.linspace(0, 10, 200)\n", - " AggShockMrkvExample.unpack(\"cFunc\")\n", - " for i in range(2):\n", - " for M in AggShockMrkvExample.Mgrid.tolist():\n", - " mMin = AggShockMrkvExample.solution[0].mNrmMin[i](M)\n", - " c_at_this_M = AggShockMrkvExample.cFunc[0][i](\n", - " m_grid + mMin,\n", - " M * np.ones_like(m_grid),\n", - " )\n", - " plt.plot(m_grid + mMin, c_at_this_M)\n", - " plt.ylim(0.0, None)\n", - " plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:25:57.557710Z", - "iopub.status.busy": "2024-07-11T15:25:57.557447Z", - "iopub.status.idle": "2024-07-11T15:25:57.561222Z", - "shell.execute_reply": "2024-07-11T15:25:57.560704Z" - } - }, - "outputs": [], - "source": [ - "if solve_markov_market:\n", - " # Solve the \"macroeconomic\" model by searching for a \"fixed point dynamic rule\"\n", - " t_start = process_time()\n", - " print(\"Now solving a two-state Markov economy. This should take a few minutes...\")\n", - " MrkvEconomyExample.solve()\n", - " t_end = process_time()\n", - " print(\n", - " 'Solving the \"macroeconomic\" aggregate shocks model took '\n", - " + str(t_end - t_start)\n", - " + \" seconds.\",\n", - " )\n", - "\n", - " print(\n", - " \"Consumption function at each aggregate market \\\n", - " resources-to-labor ratio gridpoint (for each macro state):\",\n", - " )\n", - " m_grid = np.linspace(0, 10, 200)\n", - " AggShockMrkvExample.unpack(\"cFunc\")\n", - " for i in range(2):\n", - " for M in AggShockMrkvExample.Mgrid.tolist():\n", - " mMin = AggShockMrkvExample.solution[0].mNrmMin[i](M)\n", - " c_at_this_M = AggShockMrkvExample.cFunc[0][i](\n", - " m_grid + mMin,\n", - " M * np.ones_like(m_grid),\n", - " )\n", - " plt.plot(m_grid + mMin, c_at_this_M)\n", - " plt.ylim(0.0, None)\n", - " plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:25:57.562719Z", - "iopub.status.busy": "2024-07-11T15:25:57.562451Z", - "iopub.status.idle": "2024-07-11T15:26:38.867366Z", - "shell.execute_reply": "2024-07-11T15:26:38.866872Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Now solving a Krusell-Smith-style economy. This should take about a minute...\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=[-0.5817183825422839, -0.5703319414353534], slope=[1.180307914835392, 1.182408206717251], r-sq=[0.9975542198241366, 0.9980320884475001]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=[-0.4180260563496857, -0.41316539564814475], slope=[1.08342735891103, 1.0852799171504508], r-sq=[0.99973377603989, 0.9993225507148125]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=[-0.3600899736514895, -0.35512016452337497], slope=[1.0714753213364976, 1.0712256905434414], r-sq=[0.9999986714166439, 0.9999961301697309]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=[-0.3788395320005977, -0.3715109817321105], slope=[1.0786573434429672, 1.0774887741894947], r-sq=[0.9999982037028008, 0.9999942754223826]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=[-0.37896012954317376, -0.37156486819095047], slope=[1.0787111353569707, 1.0775241504232804], r-sq=[0.9999982049718272, 0.9999940788572959]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=[-0.37899550407019866, -0.3715956660284524], slope=[1.0787232463104646, 1.0775357473879463], r-sq=[0.9999982037318698, 0.9999940713848707]\n", - "Solving the Krusell-Smith model took 41.253191999999984 seconds.\n" - ] - } - ], - "source": [ - "if solve_krusell_smith:\n", - " # Make a Krusell-Smith agent type\n", - " # NOTE: These agents aren't exactly like KS, as they don't have serially correlated unemployment\n", - " KSexampleType = deepcopy(AggShockMrkvExample)\n", - " KSexampleType.IncShkDstn[0] = [\n", - " DiscreteDistribution(\n", - " np.array([0.96, 0.04]),\n", - " np.array([[1.0, 1.0], [1.0 / 0.96, 0.0]]),\n", - " ),\n", - " DiscreteDistribution(\n", - " np.array([0.90, 0.10]),\n", - " np.array([[1.0, 1.0], [1.0 / 0.90, 0.0]]),\n", - " ),\n", - " ]\n", - "\n", - " # Make a KS economy\n", - " KSeconomy = deepcopy(MrkvEconomyExample)\n", - " KSeconomy.agents = [KSexampleType]\n", - " KSeconomy.AggShkDstn = [\n", - " DiscreteDistribution(\n", - " np.array([1.0]),\n", - " np.array([[1.0], [1.05]]),\n", - " ),\n", - " DiscreteDistribution(\n", - " np.array([1.0]),\n", - " np.array([[1.0], [0.95]]),\n", - " ),\n", - " ]\n", - " KSeconomy.PermGroFacAgg = [1.0, 1.0]\n", - " KSexampleType.get_economy_data(KSeconomy)\n", - " KSeconomy.make_AggShkHist()\n", - "\n", - " # Solve the K-S model\n", - " t_start = process_time()\n", - " print(\n", - " \"Now solving a Krusell-Smith-style economy. This should take about a minute...\",\n", - " )\n", - " KSeconomy.solve()\n", - " t_end = process_time()\n", - " print(\"Solving the Krusell-Smith model took \" + str(t_end - t_start) + \" seconds.\")" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:26:38.869121Z", - "iopub.status.busy": "2024-07-11T15:26:38.868870Z", - "iopub.status.idle": "2024-07-11T15:26:38.873890Z", - "shell.execute_reply": "2024-07-11T15:26:38.873386Z" - } - }, - "outputs": [], - "source": [ - "if solve_poly_state:\n", - " StateCount = 15 # Number of Markov states\n", - " GrowthAvg = 1.01 # Average permanent income growth factor\n", - " GrowthWidth = 0.02 # PermGroFacAgg deviates from PermGroFacAgg in this range\n", - " Persistence = 0.90 # Probability of staying in the same Markov state\n", - " PermGroFacAgg = np.linspace(\n", - " GrowthAvg - GrowthWidth,\n", - " GrowthAvg + GrowthWidth,\n", - " num=StateCount,\n", - " )\n", - "\n", - " # Make the Markov array with chosen states and persistence\n", - " PolyMrkvArray = np.zeros((StateCount, StateCount))\n", - " for i in range(StateCount):\n", - " for j in range(StateCount):\n", - " if i == j:\n", - " PolyMrkvArray[i, j] = Persistence\n", - " elif (i == (j - 1)) or (i == (j + 1)):\n", - " PolyMrkvArray[i, j] = 0.5 * (1.0 - Persistence)\n", - " PolyMrkvArray[0, 0] += 0.5 * (1.0 - Persistence)\n", - " PolyMrkvArray[StateCount - 1, StateCount - 1] += 0.5 * (1.0 - Persistence)\n", - "\n", - " # Make a consumer type to inhabit the economy\n", - " PolyStateExample = AggShockMarkovConsumerType()\n", - " PolyStateExample.MrkvArray = PolyMrkvArray\n", - " PolyStateExample.PermGroFacAgg = PermGroFacAgg\n", - " PolyStateExample.IncShkDstn[0] = StateCount * [PolyStateExample.IncShkDstn[0]]\n", - " PolyStateExample.cycles = 0\n", - "\n", - " # Make a Cobb-Douglas economy for the agents\n", - " # Use verbose=False to remove printing of intercept\n", - " PolyStateEconomy = CobbDouglasMarkovEconomy(\n", - " agents=[PolyStateExample],\n", - " verbose=False,\n", - " )\n", - " PolyStateEconomy.MrkvArray = PolyMrkvArray\n", - " PolyStateEconomy.PermGroFacAgg = PermGroFacAgg\n", - " PolyStateEconomy.PermShkAggStd = StateCount * [0.006]\n", - " PolyStateEconomy.TranShkAggStd = StateCount * [0.003]\n", - " PolyStateEconomy.slope_prev = StateCount * [1.0]\n", - " PolyStateEconomy.intercept_prev = StateCount * [0.0]\n", - " PolyStateEconomy.update()\n", - " PolyStateEconomy.makeAggShkDstn()\n", - " PolyStateEconomy.make_AggShkHist() # Simulate a history of aggregate shocks\n", - " PolyStateExample.get_economy_data(\n", - " PolyStateEconomy,\n", - " ) # Have the consumers inherit relevant objects from the economy\n", - "\n", - " # Solve the many state model\n", - " t_start = process_time()\n", - " print(\n", - " \"Now solving an economy with \"\n", - " + str(StateCount)\n", - " + \" Markov states. This might take a while...\",\n", - " )\n", - " PolyStateEconomy.solve()\n", - " t_end = process_time()\n", - " print(\n", - " \"Solving a model with \"\n", - " + str(StateCount)\n", - " + \" states took \"\n", - " + str(t_end - t_start)\n", - " + \" seconds.\",\n", - " )" - ] - } - ], - "metadata": { - "jupytext": { - "cell_metadata_filter": "-all", - "formats": "ipynb,py:percent" - }, - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.9" - }, - "latex_envs": { - "LaTeX_envs_menu_present": true, - "autoclose": false, - "autocomplete": true, - "bibliofile": "biblio.bib", - "cite_by": "apalike", - "current_citInitial": 1, - "eqLabelWithNumbers": true, - "eqNumInitial": 1, - "hotkeys": { - "equation": "Ctrl-E", - "itemize": "Ctrl-I" - }, - "labels_anchors": false, - "latex_user_defs": false, - "report_style_numbering": false, - "user_envs_cfg": false - } - }, - "nbformat": 4, - "nbformat_minor": 4 + "nbformat": 4, + "nbformat_minor": 4 } diff --git a/examples/ConsumptionSaving/example_ConsMarkovModel.ipynb b/examples/ConsumptionSaving/example_ConsMarkovModel.ipynb index 0f593d80d..d648e6541 100644 --- a/examples/ConsumptionSaving/example_ConsMarkovModel.ipynb +++ b/examples/ConsumptionSaving/example_ConsMarkovModel.ipynb @@ -1,795 +1,795 @@ { - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:31.723046Z", - "iopub.status.busy": "2024-07-11T15:27:31.722813Z", - "iopub.status.idle": "2024-07-11T15:27:32.481049Z", - "shell.execute_reply": "2024-07-11T15:27:32.480477Z" - } - }, - "outputs": [], - "source": [ - "from copy import copy, deepcopy\n", - "from time import process_time\n", - "\n", - "import numpy as np\n", - "\n", - "from HARK.ConsumptionSaving.ConsMarkovModel import (\n", - " MarkovConsumerType,\n", - " init_indshk_markov,\n", - ")\n", - "from HARK.distribution import DiscreteDistributionLabeled\n", - "from HARK.utilities import plot_funcs\n", - "\n", - "mystr = lambda number: f\"{number:.4f}\"\n", - "do_simulation = True" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This module defines consumption-saving models in which an agent has CRRA utility over consumption, geometrically discounts future utility flows and expects to experience transitory and permanent shocks to his/her income. Moreover, in any given period s/he is in exactly one of several discrete states. This state evolves from period to period according to a Markov process." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In this model, an agent is very similar to the one in the \"idiosyncratic shocks\" model of $\\texttt{ConsPrefShockModel}$, except that here, an agent's income distribution ($F_{\\psi t},F_{\\theta t}$), permanent income growth rate $\\Gamma_{t+1}$ and interest factor $R$ are all functions of the Markov state and might vary across states.\n", - "\n", - "The agent's problem can be written in Bellman form as:\n", - "\n", - "\\begin{eqnarray*}\n", - "v_t(m_t,s_t) &=& \\max_{c_t} u(c_t) + \\beta (1-\\mathsf{D}_{t+1}) \\mathbb{E} [v_{t+1}(m_{t+1}, s_{t+1}) ], \\\\\n", - "a_t &=& m_t - c_t, \\\\\n", - "a_t &\\geq& \\underline{a}, \\\\\n", - "m_{t+1} &=& \\frac{R(s_{t+1})}{\\Gamma(s_{t+1})\\psi_{t+1}} a_t + \\theta_{t+1}, \\\\\n", - "\\theta_{t} \\sim F_{\\theta t}(s_t), &\\qquad& \\psi_{t} \\sim F_{\\psi t}(s_t), \\mathbb{E} [F_{\\psi t}(s_t)] = 1, \\\\\n", - "Prob[s_{t+1}=j| s_t=i] &=& \\triangle_{ij}, \\\\\n", - "u(c) &=& \\frac{c^{1-\\rho}}{1-\\rho}\n", - "\\end{eqnarray*}\n", - "\n", - "The Markov matrix $\\triangle$ is giving transition probabilities from current state $i$ to future state $j$." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The one period problem for this model is solved by the function $\\texttt{solveConsMarkov}$, which creates an instance of the class $\\texttt{ConsMarkovSolver}$. The class $\\texttt{MarkovConsumerType}$ extends $\\texttt{IndShockConsumerType}$ to represents agents in this model.\n", - "\n", - "To construct an instance of this class, the same attributes as for $\\texttt{IndShockConsumerType}$ are required, except for one as described below:" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Additional parameter value to solve an instance of MarkovConsumerType\n", - "\n", - "| Param | Description | Code | Value | Constructed |\n", - "| :---: | --- | --- | --- | :---: |\n", - "| $\\triangle$ |Discrete state transition probability matrix | $\\texttt{MrkvArray}$ | |$\\surd$ |\n", - "\n", - "The attribute $\\texttt{MrkvArray}$ is a $\\texttt{numpy.array}$ of size ($N_s$, $N_s$) corresponding to the number of discrete states.\n", - "\n", - "Note that $\\texttt{MrkvArray}$ is am element of $\\texttt{time_inv}$, so that the same transition probabilities are used for each period. However, it can be moved to $\\texttt{time_vary}$ and specified as a list of $\\texttt{array}$s instead.\n", - "\n", - "The attributes $\\texttt{Rfree}$, $\\texttt{PermGroFac}$ and $\\texttt{IncomeDstn}$ should be specified as arrays or lists with $N_s$ elements for each period." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Solve MarkovConsumerType\n", - "\n", - "When the $\\texttt{MarkovConsumerType}$ method of a $\\texttt{MarkovConsumerType}$ is invoked, the $\\texttt{solution}$ attribute is populated with a list of $\\texttt{ConsumerSolution}$ objects, which each have the same attributes as the \"idiosyncratic shocks\" model. However, each attribute is now a list (or array) whose elements are *state-conditional* values of that object.\n", - "\n", - "For example, in a model with 4 discrete states, each the $\\texttt{cFunc}$ attribute of each element of $\\texttt{solution}$ is a length-4 list whose elements are state-conditional consumption functions. That is, $\\texttt{cFunc[2]}$ is the consumption function when $s_t = 2$.\n", - "\n", - "$\\texttt{ConsMarkovModel}$ is compatible with cubic spline interpolation for the consumption functions, so $\\texttt{CubicBool = True}$ will not generate an exception. The problem is solved using the [method of endogenous gridpoints](https://www.econ2.jhu.edu/people/ccarroll/EndogenousGridpoints.pdf), which is moderately more complicated than in the basic $\\texttt{ConsPrefShockModel}$." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:32.483030Z", - "iopub.status.busy": "2024-07-11T15:27:32.482767Z", - "iopub.status.idle": "2024-07-11T15:27:32.486741Z", - "shell.execute_reply": "2024-07-11T15:27:32.486279Z" - } - }, - "outputs": [], - "source": [ - "# Define the Markov transition matrix for serially correlated unemployment\n", - "unemp_length = 5 # Averange length of unemployment spell\n", - "urate_good = 0.05 # Unemployment rate when economy is in good state\n", - "urate_bad = 0.12 # Unemployment rate when economy is in bad state\n", - "bust_prob = 0.01 # Probability of economy switching from good to bad\n", - "recession_length = 20 # Averange length of bad state\n", - "p_reemploy = 1.0 / unemp_length\n", - "p_unemploy_good = p_reemploy * urate_good / (1 - urate_good)\n", - "p_unemploy_bad = p_reemploy * urate_bad / (1 - urate_bad)\n", - "boom_prob = 1.0 / recession_length\n", - "MrkvArray = np.array(\n", - " [\n", - " [\n", - " (1 - p_unemploy_good) * (1 - bust_prob),\n", - " p_unemploy_good * (1 - bust_prob),\n", - " (1 - p_unemploy_good) * bust_prob,\n", - " p_unemploy_good * bust_prob,\n", - " ],\n", - " [\n", - " p_reemploy * (1 - bust_prob),\n", - " (1 - p_reemploy) * (1 - bust_prob),\n", - " p_reemploy * bust_prob,\n", - " (1 - p_reemploy) * bust_prob,\n", - " ],\n", - " [\n", - " (1 - p_unemploy_bad) * boom_prob,\n", - " p_unemploy_bad * boom_prob,\n", - " (1 - p_unemploy_bad) * (1 - boom_prob),\n", - " p_unemploy_bad * (1 - boom_prob),\n", - " ],\n", - " [\n", - " p_reemploy * boom_prob,\n", - " (1 - p_reemploy) * boom_prob,\n", - " p_reemploy * (1 - boom_prob),\n", - " (1 - p_reemploy) * (1 - boom_prob),\n", - " ],\n", - " ],\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Several variant examples of the model will be illustrated below such that:\n", - "1. Model with serially correlated unemployment\n", - "2. Model with period of \"unemployment immunity\"\n", - "3. Model with serially correlated permanent income growth\n", - "4. Model with serially correlated interest factor\n", - "\n", - "### 1. Serial Unemployment\n", - "\n", - "Let's create a consumer similar to the one in \"idiosyncratic shock\" model but who faces serially correlated unemployment during boom or bust cycles of the economy." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:32.488109Z", - "iopub.status.busy": "2024-07-11T15:27:32.487941Z", - "iopub.status.idle": "2024-07-11T15:27:32.494743Z", - "shell.execute_reply": "2024-07-11T15:27:32.494254Z" - } - }, - "outputs": [], - "source": [ - "# Make a consumer with serially correlated unemployment, subject to boom and bust cycles\n", - "init_serial_unemployment = copy(init_indshk_markov)\n", - "init_serial_unemployment[\"MrkvArray\"] = [MrkvArray]\n", - "init_serial_unemployment[\"UnempPrb\"] = 0.0 # to make income distribution when employed\n", - "init_serial_unemployment[\"global_markov\"] = False\n", - "SerialUnemploymentExample = MarkovConsumerType(**init_serial_unemployment)\n", - "SerialUnemploymentExample.cycles = 0\n", - "SerialUnemploymentExample.vFuncBool = False # for easy toggling here" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:32.496369Z", - "iopub.status.busy": "2024-07-11T15:27:32.496131Z", - "iopub.status.idle": "2024-07-11T15:27:32.500052Z", - "shell.execute_reply": "2024-07-11T15:27:32.499597Z" - } - }, - "outputs": [], - "source": [ - "# Replace the default (lognormal) income distribution with a custom one\n", - "employed_income_dist = DiscreteDistributionLabeled(\n", - " pmv=np.ones(1),\n", - " atoms=np.array([[1.0], [1.0]]),\n", - " var_names=[\"PermShk\", \"TranShk\"],\n", - ") # Definitely get income\n", - "unemployed_income_dist = DiscreteDistributionLabeled(\n", - " pmv=np.ones(1),\n", - " atoms=np.array([[1.0], [0.0]]),\n", - " var_names=[\"PermShk\", \"TranShk\"],\n", - ") # Definitely don't\n", - "SerialUnemploymentExample.IncShkDstn = [\n", - " [\n", - " employed_income_dist,\n", - " unemployed_income_dist,\n", - " employed_income_dist,\n", - " unemployed_income_dist,\n", - " ],\n", - "]\n", - "SerialUnemploymentExample.assign_parameters(MrkvArray=[MrkvArray])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Note that $\\texttt{MarkovConsumerType}$ currently has no method to automatically construct a valid IncomeDstn - $\\texttt{IncomeDstn}$ is manually constructed in each case. Writing a method to supersede $\\texttt{IndShockConsumerType.update\\_income_process}$ for the “Markov model” would be a welcome contribution!" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:32.501627Z", - "iopub.status.busy": "2024-07-11T15:27:32.501247Z", - "iopub.status.idle": "2024-07-11T15:27:32.503891Z", - "shell.execute_reply": "2024-07-11T15:27:32.503445Z" - } - }, - "outputs": [], - "source": [ - "# Interest factor, permanent growth rates, and survival probabilities are constant arrays\n", - "SerialUnemploymentExample.assign_parameters(Rfree=np.array(1.03 * np.ones(4)))\n", - "SerialUnemploymentExample.PermGroFac = [1.0 * np.ones(4)]\n", - "SerialUnemploymentExample.LivPrb = [0.98 * np.ones(4)]" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:32.505321Z", - "iopub.status.busy": "2024-07-11T15:27:32.505080Z", - "iopub.status.idle": "2024-07-11T15:27:32.951132Z", - "shell.execute_reply": "2024-07-11T15:27:32.950636Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "The calc_limiting_values method must be run before the calc_stable_points method.\n" - ] + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:31.723046Z", + "iopub.status.busy": "2024-07-11T15:27:31.722813Z", + "iopub.status.idle": "2024-07-11T15:27:32.481049Z", + "shell.execute_reply": "2024-07-11T15:27:32.480477Z" + } + }, + "outputs": [], + "source": [ + "from copy import copy, deepcopy\n", + "from time import process_time\n", + "\n", + "import numpy as np\n", + "\n", + "from HARK.ConsumptionSaving.ConsMarkovModel import (\n", + " MarkovConsumerType,\n", + " init_indshk_markov,\n", + ")\n", + "from HARK.distributions import DiscreteDistributionLabeled\n", + "from HARK.utilities import plot_funcs\n", + "\n", + "mystr = lambda number: f\"{number:.4f}\"\n", + "do_simulation = True" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This module defines consumption-saving models in which an agent has CRRA utility over consumption, geometrically discounts future utility flows and expects to experience transitory and permanent shocks to his/her income. Moreover, in any given period s/he is in exactly one of several discrete states. This state evolves from period to period according to a Markov process." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In this model, an agent is very similar to the one in the \"idiosyncratic shocks\" model of $\\texttt{ConsPrefShockModel}$, except that here, an agent's income distribution ($F_{\\psi t},F_{\\theta t}$), permanent income growth rate $\\Gamma_{t+1}$ and interest factor $R$ are all functions of the Markov state and might vary across states.\n", + "\n", + "The agent's problem can be written in Bellman form as:\n", + "\n", + "\\begin{eqnarray*}\n", + "v_t(m_t,s_t) &=& \\max_{c_t} u(c_t) + \\beta (1-\\mathsf{D}_{t+1}) \\mathbb{E} [v_{t+1}(m_{t+1}, s_{t+1}) ], \\\\\n", + "a_t &=& m_t - c_t, \\\\\n", + "a_t &\\geq& \\underline{a}, \\\\\n", + "m_{t+1} &=& \\frac{R(s_{t+1})}{\\Gamma(s_{t+1})\\psi_{t+1}} a_t + \\theta_{t+1}, \\\\\n", + "\\theta_{t} \\sim F_{\\theta t}(s_t), &\\qquad& \\psi_{t} \\sim F_{\\psi t}(s_t), \\mathbb{E} [F_{\\psi t}(s_t)] = 1, \\\\\n", + "Prob[s_{t+1}=j| s_t=i] &=& \\triangle_{ij}, \\\\\n", + "u(c) &=& \\frac{c^{1-\\rho}}{1-\\rho}\n", + "\\end{eqnarray*}\n", + "\n", + "The Markov matrix $\\triangle$ is giving transition probabilities from current state $i$ to future state $j$." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The one period problem for this model is solved by the function $\\texttt{solveConsMarkov}$, which creates an instance of the class $\\texttt{ConsMarkovSolver}$. The class $\\texttt{MarkovConsumerType}$ extends $\\texttt{IndShockConsumerType}$ to represents agents in this model.\n", + "\n", + "To construct an instance of this class, the same attributes as for $\\texttt{IndShockConsumerType}$ are required, except for one as described below:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Additional parameter value to solve an instance of MarkovConsumerType\n", + "\n", + "| Param | Description | Code | Value | Constructed |\n", + "| :---: | --- | --- | --- | :---: |\n", + "| $\\triangle$ |Discrete state transition probability matrix | $\\texttt{MrkvArray}$ | |$\\surd$ |\n", + "\n", + "The attribute $\\texttt{MrkvArray}$ is a $\\texttt{numpy.array}$ of size ($N_s$, $N_s$) corresponding to the number of discrete states.\n", + "\n", + "Note that $\\texttt{MrkvArray}$ is am element of $\\texttt{time_inv}$, so that the same transition probabilities are used for each period. However, it can be moved to $\\texttt{time_vary}$ and specified as a list of $\\texttt{array}$s instead.\n", + "\n", + "The attributes $\\texttt{Rfree}$, $\\texttt{PermGroFac}$ and $\\texttt{IncomeDstn}$ should be specified as arrays or lists with $N_s$ elements for each period." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Solve MarkovConsumerType\n", + "\n", + "When the $\\texttt{MarkovConsumerType}$ method of a $\\texttt{MarkovConsumerType}$ is invoked, the $\\texttt{solution}$ attribute is populated with a list of $\\texttt{ConsumerSolution}$ objects, which each have the same attributes as the \"idiosyncratic shocks\" model. However, each attribute is now a list (or array) whose elements are *state-conditional* values of that object.\n", + "\n", + "For example, in a model with 4 discrete states, each the $\\texttt{cFunc}$ attribute of each element of $\\texttt{solution}$ is a length-4 list whose elements are state-conditional consumption functions. That is, $\\texttt{cFunc[2]}$ is the consumption function when $s_t = 2$.\n", + "\n", + "$\\texttt{ConsMarkovModel}$ is compatible with cubic spline interpolation for the consumption functions, so $\\texttt{CubicBool = True}$ will not generate an exception. The problem is solved using the [method of endogenous gridpoints](https://www.econ2.jhu.edu/people/ccarroll/EndogenousGridpoints.pdf), which is moderately more complicated than in the basic $\\texttt{ConsPrefShockModel}$." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:32.483030Z", + "iopub.status.busy": "2024-07-11T15:27:32.482767Z", + "iopub.status.idle": "2024-07-11T15:27:32.486741Z", + "shell.execute_reply": "2024-07-11T15:27:32.486279Z" + } + }, + "outputs": [], + "source": [ + "# Define the Markov transition matrix for serially correlated unemployment\n", + "unemp_length = 5 # Averange length of unemployment spell\n", + "urate_good = 0.05 # Unemployment rate when economy is in good state\n", + "urate_bad = 0.12 # Unemployment rate when economy is in bad state\n", + "bust_prob = 0.01 # Probability of economy switching from good to bad\n", + "recession_length = 20 # Averange length of bad state\n", + "p_reemploy = 1.0 / unemp_length\n", + "p_unemploy_good = p_reemploy * urate_good / (1 - urate_good)\n", + "p_unemploy_bad = p_reemploy * urate_bad / (1 - urate_bad)\n", + "boom_prob = 1.0 / recession_length\n", + "MrkvArray = np.array(\n", + " [\n", + " [\n", + " (1 - p_unemploy_good) * (1 - bust_prob),\n", + " p_unemploy_good * (1 - bust_prob),\n", + " (1 - p_unemploy_good) * bust_prob,\n", + " p_unemploy_good * bust_prob,\n", + " ],\n", + " [\n", + " p_reemploy * (1 - bust_prob),\n", + " (1 - p_reemploy) * (1 - bust_prob),\n", + " p_reemploy * bust_prob,\n", + " (1 - p_reemploy) * bust_prob,\n", + " ],\n", + " [\n", + " (1 - p_unemploy_bad) * boom_prob,\n", + " p_unemploy_bad * boom_prob,\n", + " (1 - p_unemploy_bad) * (1 - boom_prob),\n", + " p_unemploy_bad * (1 - boom_prob),\n", + " ],\n", + " [\n", + " p_reemploy * boom_prob,\n", + " (1 - p_reemploy) * boom_prob,\n", + " p_reemploy * (1 - boom_prob),\n", + " (1 - p_reemploy) * (1 - boom_prob),\n", + " ],\n", + " ],\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Several variant examples of the model will be illustrated below such that:\n", + "1. Model with serially correlated unemployment\n", + "2. Model with period of \"unemployment immunity\"\n", + "3. Model with serially correlated permanent income growth\n", + "4. Model with serially correlated interest factor\n", + "\n", + "### 1. Serial Unemployment\n", + "\n", + "Let's create a consumer similar to the one in \"idiosyncratic shock\" model but who faces serially correlated unemployment during boom or bust cycles of the economy." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:32.488109Z", + "iopub.status.busy": "2024-07-11T15:27:32.487941Z", + "iopub.status.idle": "2024-07-11T15:27:32.494743Z", + "shell.execute_reply": "2024-07-11T15:27:32.494254Z" + } + }, + "outputs": [], + "source": [ + "# Make a consumer with serially correlated unemployment, subject to boom and bust cycles\n", + "init_serial_unemployment = copy(init_indshk_markov)\n", + "init_serial_unemployment[\"MrkvArray\"] = [MrkvArray]\n", + "init_serial_unemployment[\"UnempPrb\"] = 0.0 # to make income distribution when employed\n", + "init_serial_unemployment[\"global_markov\"] = False\n", + "SerialUnemploymentExample = MarkovConsumerType(**init_serial_unemployment)\n", + "SerialUnemploymentExample.cycles = 0\n", + "SerialUnemploymentExample.vFuncBool = False # for easy toggling here" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:32.496369Z", + "iopub.status.busy": "2024-07-11T15:27:32.496131Z", + "iopub.status.idle": "2024-07-11T15:27:32.500052Z", + "shell.execute_reply": "2024-07-11T15:27:32.499597Z" + } + }, + "outputs": [], + "source": [ + "# Replace the default (lognormal) income distribution with a custom one\n", + "employed_income_dist = DiscreteDistributionLabeled(\n", + " pmv=np.ones(1),\n", + " atoms=np.array([[1.0], [1.0]]),\n", + " var_names=[\"PermShk\", \"TranShk\"],\n", + ") # Definitely get income\n", + "unemployed_income_dist = DiscreteDistributionLabeled(\n", + " pmv=np.ones(1),\n", + " atoms=np.array([[1.0], [0.0]]),\n", + " var_names=[\"PermShk\", \"TranShk\"],\n", + ") # Definitely don't\n", + "SerialUnemploymentExample.IncShkDstn = [\n", + " [\n", + " employed_income_dist,\n", + " unemployed_income_dist,\n", + " employed_income_dist,\n", + " unemployed_income_dist,\n", + " ],\n", + "]\n", + "SerialUnemploymentExample.assign_parameters(MrkvArray=[MrkvArray])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note that $\\texttt{MarkovConsumerType}$ currently has no method to automatically construct a valid IncomeDstn - $\\texttt{IncomeDstn}$ is manually constructed in each case. Writing a method to supersede $\\texttt{IndShockConsumerType.update\\_income_process}$ for the “Markov model” would be a welcome contribution!" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:32.501627Z", + "iopub.status.busy": "2024-07-11T15:27:32.501247Z", + "iopub.status.idle": "2024-07-11T15:27:32.503891Z", + "shell.execute_reply": "2024-07-11T15:27:32.503445Z" + } + }, + "outputs": [], + "source": [ + "# Interest factor, permanent growth rates, and survival probabilities are constant arrays\n", + "SerialUnemploymentExample.assign_parameters(Rfree=np.array(1.03 * np.ones(4)))\n", + "SerialUnemploymentExample.PermGroFac = [1.0 * np.ones(4)]\n", + "SerialUnemploymentExample.LivPrb = [0.98 * np.ones(4)]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:32.505321Z", + "iopub.status.busy": "2024-07-11T15:27:32.505080Z", + "iopub.status.idle": "2024-07-11T15:27:32.951132Z", + "shell.execute_reply": "2024-07-11T15:27:32.950636Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "The calc_limiting_values method must be run before the calc_stable_points method.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Solving a Markov consumer with serially correlated unemployment took 0.1601 seconds.\n", + "Consumption functions for each discrete state:\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Solve the serial unemployment consumer's problem and display solution\n", + "start_time = process_time()\n", + "SerialUnemploymentExample.solve()\n", + "end_time = process_time()\n", + "print(\n", + " \"Solving a Markov consumer with serially correlated unemployment took \"\n", + " + mystr(end_time - start_time)\n", + " + \" seconds.\",\n", + ")\n", + "print(\"Consumption functions for each discrete state:\")\n", + "plot_funcs(SerialUnemploymentExample.solution[0].cFunc, 0, 50)\n", + "if SerialUnemploymentExample.vFuncBool:\n", + " print(\"Value functions for each discrete state:\")\n", + " plot_funcs(SerialUnemploymentExample.solution[0].vFunc, 5, 50)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:32.952916Z", + "iopub.status.busy": "2024-07-11T15:27:32.952560Z", + "iopub.status.idle": "2024-07-11T15:27:46.174749Z", + "shell.execute_reply": "2024-07-11T15:27:46.174185Z" + } + }, + "outputs": [], + "source": [ + "# Simulate some data; results stored in cHist, mNrm_hist, cNrm_hist, and Mrkv_hist\n", + "if do_simulation:\n", + " SerialUnemploymentExample.T_sim = 120\n", + " SerialUnemploymentExample.MrkvPrbsInit = [0.25, 0.25, 0.25, 0.25]\n", + " SerialUnemploymentExample.track_vars = [\"mNrm\", \"cNrm\"]\n", + " SerialUnemploymentExample.make_shock_history() # This is optional\n", + " SerialUnemploymentExample.initialize_sim()\n", + " SerialUnemploymentExample.simulate()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2. Unemployment immunity for a fixed period\n", + "\n", + "Let's create a consumer similar to the one in \"idiosyncratic shock\" model but who occasionally gets \"unemployment immunity\" for a fixed period in an economy subject to boom and bust cycles." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:46.176759Z", + "iopub.status.busy": "2024-07-11T15:27:46.176483Z", + "iopub.status.idle": "2024-07-11T15:27:46.179195Z", + "shell.execute_reply": "2024-07-11T15:27:46.178722Z" + } + }, + "outputs": [], + "source": [ + "# Make a consumer who occasionally gets \"unemployment immunity\" for a fixed period\n", + "UnempPrb = 0.05 # Probability of becoming unemployed each period\n", + "ImmunityPrb = 0.01 # Probability of becoming \"immune\" to unemployment\n", + "ImmunityT = 6 # Number of periods of immunity" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:46.180645Z", + "iopub.status.busy": "2024-07-11T15:27:46.180431Z", + "iopub.status.idle": "2024-07-11T15:27:46.184495Z", + "shell.execute_reply": "2024-07-11T15:27:46.184006Z" + } + }, + "outputs": [], + "source": [ + "StateCount = ImmunityT + 1 # Total number of Markov states\n", + "IncomeDstnReg = DiscreteDistributionLabeled(\n", + " pmv=np.array([1 - UnempPrb, UnempPrb]),\n", + " atoms=np.array([[1.0, 1.0], [1.0 / (1.0 - UnempPrb), 0.0]]),\n", + " var_names=[\"PermShk\", \"TranShk\"],\n", + ") # Ordinary income distribution\n", + "IncomeDstnImm = DiscreteDistributionLabeled(\n", + " pmv=np.array([1.0]),\n", + " atoms=np.array([[1.0], [1.0]]),\n", + " var_names=[\"PermShk\", \"TranShk\"],\n", + ")\n", + "IncomeDstn = [IncomeDstnReg] + ImmunityT * [\n", + " IncomeDstnImm,\n", + "] # Income distribution for each Markov state, in a list" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:46.185937Z", + "iopub.status.busy": "2024-07-11T15:27:46.185707Z", + "iopub.status.idle": "2024-07-11T15:27:46.188578Z", + "shell.execute_reply": "2024-07-11T15:27:46.188134Z" + } + }, + "outputs": [], + "source": [ + "# Make the Markov transition array. MrkvArray[i,j] is the probability of transitioning\n", + "# to state j in period t+1 from state i in period t.\n", + "MrkvArray = np.zeros((StateCount, StateCount))\n", + "MrkvArray[0, 0] = (\n", + " 1.0 - ImmunityPrb\n", + ") # Probability of not becoming immune in ordinary state: stay in ordinary state\n", + "MrkvArray[0, ImmunityT] = (\n", + " ImmunityPrb # Probability of becoming immune in ordinary state: begin immunity periods\n", + ")\n", + "for j in range(ImmunityT):\n", + " MrkvArray[j + 1, j] = (\n", + " 1.0 # When immune, have 100% chance of transition to state with one fewer immunity periods remaining\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:46.190198Z", + "iopub.status.busy": "2024-07-11T15:27:46.189723Z", + "iopub.status.idle": "2024-07-11T15:27:46.196479Z", + "shell.execute_reply": "2024-07-11T15:27:46.196022Z" + } + }, + "outputs": [], + "source": [ + "init_unemployment_immunity = copy(init_indshk_markov)\n", + "init_unemployment_immunity[\"MrkvArray\"] = [MrkvArray]\n", + "ImmunityExample = MarkovConsumerType(**init_unemployment_immunity)\n", + "ImmunityExample.assign_parameters(MrkvArray=[MrkvArray])\n", + "ImmunityExample.assign_parameters(\n", + " Rfree=np.array(np.array(StateCount * [1.03])), # Interest factor same in all states\n", + " PermGroFac=[\n", + " np.array(StateCount * [1.01]),\n", + " ], # Permanent growth factor same in all states\n", + " LivPrb=[np.array(StateCount * [0.98])], # Same survival probability in all states\n", + " BoroCnstArt=None, # No artificial borrowing constraint\n", + " cycles=0,\n", + ") # Infinite horizon\n", + "ImmunityExample.IncShkDstn = [IncomeDstn]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:46.197916Z", + "iopub.status.busy": "2024-07-11T15:27:46.197696Z", + "iopub.status.idle": "2024-07-11T15:27:46.422573Z", + "shell.execute_reply": "2024-07-11T15:27:46.422017Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "The calc_limiting_values method must be run before the calc_stable_points method.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Solving an \"unemployment immunity\" consumer took 0.1454 seconds.\n", + "Consumption functions for each discrete state:\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/mnt/c/Users/alujan/GitHub/alanlujan91/HARK/HARK/interpolation.py:2188: RuntimeWarning: All-NaN slice encountered\n", + " y = self.compare(fx, axis=1)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Solve the unemployment immunity problem and display the consumption functions\n", + "start_time = process_time()\n", + "ImmunityExample.solve()\n", + "end_time = process_time()\n", + "print(\n", + " 'Solving an \"unemployment immunity\" consumer took '\n", + " + mystr(end_time - start_time)\n", + " + \" seconds.\",\n", + ")\n", + "print(\"Consumption functions for each discrete state:\")\n", + "mNrmMin = np.min([ImmunityExample.solution[0].mNrmMin[j] for j in range(StateCount)])\n", + "plot_funcs(ImmunityExample.solution[0].cFunc, mNrmMin, 10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3. Serial permanent income growth\n", + "\n", + "Let's create a consumer similar to the one in \"idiosyncratic shock\" model but who faces serially correlated permanent income growth in an economy subject to boom and bust cycles." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:46.424362Z", + "iopub.status.busy": "2024-07-11T15:27:46.424094Z", + "iopub.status.idle": "2024-07-11T15:27:46.426783Z", + "shell.execute_reply": "2024-07-11T15:27:46.426289Z" + } + }, + "outputs": [], + "source": [ + "# Make a consumer with serially correlated permanent income growth\n", + "UnempPrb = 0.05 # Unemployment probability\n", + "StateCount = 5 # Number of permanent income growth rates\n", + "Persistence = (\n", + " 0.5 # Probability of getting the same permanent income growth rate next period\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:46.428386Z", + "iopub.status.busy": "2024-07-11T15:27:46.428064Z", + "iopub.status.idle": "2024-07-11T15:27:46.431463Z", + "shell.execute_reply": "2024-07-11T15:27:46.430939Z" + } + }, + "outputs": [], + "source": [ + "IncomeDstnReg = DiscreteDistributionLabeled(\n", + " pmv=np.array([1 - UnempPrb, UnempPrb]),\n", + " atoms=np.array([[1.0, 1.0], [1.0, 0.0]]),\n", + " var_names=[\"PermShk\", \"TranShk\"],\n", + ")\n", + "IncomeDstn = StateCount * [\n", + " IncomeDstnReg,\n", + "] # Same simple income distribution in each state" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:46.433208Z", + "iopub.status.busy": "2024-07-11T15:27:46.432749Z", + "iopub.status.idle": "2024-07-11T15:27:46.435478Z", + "shell.execute_reply": "2024-07-11T15:27:46.434951Z" + } + }, + "outputs": [], + "source": [ + "# Make the state transition array for this type: Persistence probability of remaining in the same state, equiprobable otherwise\n", + "MrkvArray = Persistence * np.eye(StateCount) + (1.0 / StateCount) * (\n", + " 1.0 - Persistence\n", + ") * np.ones((StateCount, StateCount))" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:46.436956Z", + "iopub.status.busy": "2024-07-11T15:27:46.436724Z", + "iopub.status.idle": "2024-07-11T15:27:46.444107Z", + "shell.execute_reply": "2024-07-11T15:27:46.443535Z" + }, + "lines_to_next_cell": 2 + }, + "outputs": [], + "source": [ + "init_serial_growth = copy(init_indshk_markov)\n", + "init_serial_growth[\"MrkvArray\"] = [MrkvArray]\n", + "SerialGroExample = MarkovConsumerType(**init_serial_growth)\n", + "SerialGroExample.assign_parameters(MrkvArray=[MrkvArray])\n", + "SerialGroExample.assign_parameters(\n", + " Rfree=np.array(\n", + " np.array(StateCount * [1.03]),\n", + " ), # Same interest factor in each Markov state\n", + " PermGroFac=[\n", + " np.array([0.97, 0.99, 1.01, 1.03, 1.05]),\n", + " ], # Different permanent growth factor in each Markov state\n", + " LivPrb=[np.array(StateCount * [0.98])], # Same survival probability in all states\n", + " cycles=0,\n", + ")\n", + "SerialGroExample.IncShkDstn = [IncomeDstn]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4. Serial Interest factor\n", + "\n", + "Finally, suppose that the consumer faces a interest factor serially correlated while his/her permanent income growth rate is constant." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:46.445698Z", + "iopub.status.busy": "2024-07-11T15:27:46.445437Z", + "iopub.status.idle": "2024-07-11T15:27:46.642321Z", + "shell.execute_reply": "2024-07-11T15:27:46.641785Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "The calc_limiting_values method must be run before the calc_stable_points method.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Solving a serially correlated growth consumer took 0.1337 seconds.\n", + "Consumption functions for each discrete state:\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Solve the serially correlated permanent growth shock problem and display the consumption functions\n", + "start_time = process_time()\n", + "SerialGroExample.solve()\n", + "end_time = process_time()\n", + "print(\n", + " \"Solving a serially correlated growth consumer took \"\n", + " + mystr(end_time - start_time)\n", + " + \" seconds.\",\n", + ")\n", + "print(\"Consumption functions for each discrete state:\")\n", + "plot_funcs(SerialGroExample.solution[0].cFunc, 0, 10)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:46.643965Z", + "iopub.status.busy": "2024-07-11T15:27:46.643712Z", + "iopub.status.idle": "2024-07-11T15:27:46.648979Z", + "shell.execute_reply": "2024-07-11T15:27:46.648525Z" + } + }, + "outputs": [], + "source": [ + "# Make a consumer with serially correlated interest factors\n", + "SerialRExample = deepcopy(SerialGroExample) # Same as the last problem...\n", + "SerialRExample.assign_parameters(\n", + " PermGroFac=[\n", + " np.array(StateCount * [1.01]),\n", + " ], # ...but now the permanent growth factor is constant...\n", + " Rfree=np.array([1.01, 1.02, 1.03, 1.04, 1.05]),\n", + ") # ...and the interest factor is what varies across states" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:46.650470Z", + "iopub.status.busy": "2024-07-11T15:27:46.650246Z", + "iopub.status.idle": "2024-07-11T15:27:46.822371Z", + "shell.execute_reply": "2024-07-11T15:27:46.821851Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "The calc_limiting_values method must be run before the calc_stable_points method.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Solving a serially correlated interest consumer took 0.1082 seconds.\n", + "Consumption functions for each discrete state:\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Solve the serially correlated interest rate problem and display the consumption functions\n", + "start_time = process_time()\n", + "SerialRExample.solve()\n", + "end_time = process_time()\n", + "print(\n", + " \"Solving a serially correlated interest consumer took \"\n", + " + mystr(end_time - start_time)\n", + " + \" seconds.\",\n", + ")\n", + "print(\"Consumption functions for each discrete state:\")\n", + "plot_funcs(SerialRExample.solution[0].cFunc, 0, 10)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "jupytext": { + "cell_metadata_filter": "-all", + "encoding": "# -*- coding: utf-8 -*-", + "formats": "ipynb,py:percent" + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + }, + "latex_envs": { + "LaTeX_envs_menu_present": true, + "autoclose": false, + "autocomplete": true, + "bibliofile": "biblio.bib", + "cite_by": "apalike", + "current_citInitial": 1, + "eqLabelWithNumbers": true, + "eqNumInitial": 1, + "hotkeys": { + "equation": "Ctrl-E", + "itemize": "Ctrl-I" + }, + "labels_anchors": false, + "latex_user_defs": false, + "report_style_numbering": false, + "user_envs_cfg": false + } }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Solving a Markov consumer with serially correlated unemployment took 0.1601 seconds.\n", - "Consumption functions for each discrete state:\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Solve the serial unemployment consumer's problem and display solution\n", - "start_time = process_time()\n", - "SerialUnemploymentExample.solve()\n", - "end_time = process_time()\n", - "print(\n", - " \"Solving a Markov consumer with serially correlated unemployment took \"\n", - " + mystr(end_time - start_time)\n", - " + \" seconds.\",\n", - ")\n", - "print(\"Consumption functions for each discrete state:\")\n", - "plot_funcs(SerialUnemploymentExample.solution[0].cFunc, 0, 50)\n", - "if SerialUnemploymentExample.vFuncBool:\n", - " print(\"Value functions for each discrete state:\")\n", - " plot_funcs(SerialUnemploymentExample.solution[0].vFunc, 5, 50)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:32.952916Z", - "iopub.status.busy": "2024-07-11T15:27:32.952560Z", - "iopub.status.idle": "2024-07-11T15:27:46.174749Z", - "shell.execute_reply": "2024-07-11T15:27:46.174185Z" - } - }, - "outputs": [], - "source": [ - "# Simulate some data; results stored in cHist, mNrm_hist, cNrm_hist, and Mrkv_hist\n", - "if do_simulation:\n", - " SerialUnemploymentExample.T_sim = 120\n", - " SerialUnemploymentExample.MrkvPrbsInit = [0.25, 0.25, 0.25, 0.25]\n", - " SerialUnemploymentExample.track_vars = [\"mNrm\", \"cNrm\"]\n", - " SerialUnemploymentExample.make_shock_history() # This is optional\n", - " SerialUnemploymentExample.initialize_sim()\n", - " SerialUnemploymentExample.simulate()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 2. Unemployment immunity for a fixed period\n", - "\n", - "Let's create a consumer similar to the one in \"idiosyncratic shock\" model but who occasionally gets \"unemployment immunity\" for a fixed period in an economy subject to boom and bust cycles." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:46.176759Z", - "iopub.status.busy": "2024-07-11T15:27:46.176483Z", - "iopub.status.idle": "2024-07-11T15:27:46.179195Z", - "shell.execute_reply": "2024-07-11T15:27:46.178722Z" - } - }, - "outputs": [], - "source": [ - "# Make a consumer who occasionally gets \"unemployment immunity\" for a fixed period\n", - "UnempPrb = 0.05 # Probability of becoming unemployed each period\n", - "ImmunityPrb = 0.01 # Probability of becoming \"immune\" to unemployment\n", - "ImmunityT = 6 # Number of periods of immunity" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:46.180645Z", - "iopub.status.busy": "2024-07-11T15:27:46.180431Z", - "iopub.status.idle": "2024-07-11T15:27:46.184495Z", - "shell.execute_reply": "2024-07-11T15:27:46.184006Z" - } - }, - "outputs": [], - "source": [ - "StateCount = ImmunityT + 1 # Total number of Markov states\n", - "IncomeDstnReg = DiscreteDistributionLabeled(\n", - " pmv=np.array([1 - UnempPrb, UnempPrb]),\n", - " atoms=np.array([[1.0, 1.0], [1.0 / (1.0 - UnempPrb), 0.0]]),\n", - " var_names=[\"PermShk\", \"TranShk\"],\n", - ") # Ordinary income distribution\n", - "IncomeDstnImm = DiscreteDistributionLabeled(\n", - " pmv=np.array([1.0]),\n", - " atoms=np.array([[1.0], [1.0]]),\n", - " var_names=[\"PermShk\", \"TranShk\"],\n", - ")\n", - "IncomeDstn = [IncomeDstnReg] + ImmunityT * [\n", - " IncomeDstnImm,\n", - "] # Income distribution for each Markov state, in a list" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:46.185937Z", - "iopub.status.busy": "2024-07-11T15:27:46.185707Z", - "iopub.status.idle": "2024-07-11T15:27:46.188578Z", - "shell.execute_reply": "2024-07-11T15:27:46.188134Z" - } - }, - "outputs": [], - "source": [ - "# Make the Markov transition array. MrkvArray[i,j] is the probability of transitioning\n", - "# to state j in period t+1 from state i in period t.\n", - "MrkvArray = np.zeros((StateCount, StateCount))\n", - "MrkvArray[0, 0] = (\n", - " 1.0 - ImmunityPrb\n", - ") # Probability of not becoming immune in ordinary state: stay in ordinary state\n", - "MrkvArray[0, ImmunityT] = (\n", - " ImmunityPrb # Probability of becoming immune in ordinary state: begin immunity periods\n", - ")\n", - "for j in range(ImmunityT):\n", - " MrkvArray[j + 1, j] = (\n", - " 1.0 # When immune, have 100% chance of transition to state with one fewer immunity periods remaining\n", - " )" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:46.190198Z", - "iopub.status.busy": "2024-07-11T15:27:46.189723Z", - "iopub.status.idle": "2024-07-11T15:27:46.196479Z", - "shell.execute_reply": "2024-07-11T15:27:46.196022Z" - } - }, - "outputs": [], - "source": [ - "init_unemployment_immunity = copy(init_indshk_markov)\n", - "init_unemployment_immunity[\"MrkvArray\"] = [MrkvArray]\n", - "ImmunityExample = MarkovConsumerType(**init_unemployment_immunity)\n", - "ImmunityExample.assign_parameters(MrkvArray=[MrkvArray])\n", - "ImmunityExample.assign_parameters(\n", - " Rfree=np.array(np.array(StateCount * [1.03])), # Interest factor same in all states\n", - " PermGroFac=[\n", - " np.array(StateCount * [1.01]),\n", - " ], # Permanent growth factor same in all states\n", - " LivPrb=[np.array(StateCount * [0.98])], # Same survival probability in all states\n", - " BoroCnstArt=None, # No artificial borrowing constraint\n", - " cycles=0,\n", - ") # Infinite horizon\n", - "ImmunityExample.IncShkDstn = [IncomeDstn]" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:46.197916Z", - "iopub.status.busy": "2024-07-11T15:27:46.197696Z", - "iopub.status.idle": "2024-07-11T15:27:46.422573Z", - "shell.execute_reply": "2024-07-11T15:27:46.422017Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "The calc_limiting_values method must be run before the calc_stable_points method.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Solving an \"unemployment immunity\" consumer took 0.1454 seconds.\n", - "Consumption functions for each discrete state:\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/mnt/c/Users/alujan/GitHub/alanlujan91/HARK/HARK/interpolation.py:2188: RuntimeWarning: All-NaN slice encountered\n", - " y = self.compare(fx, axis=1)\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Solve the unemployment immunity problem and display the consumption functions\n", - "start_time = process_time()\n", - "ImmunityExample.solve()\n", - "end_time = process_time()\n", - "print(\n", - " 'Solving an \"unemployment immunity\" consumer took '\n", - " + mystr(end_time - start_time)\n", - " + \" seconds.\",\n", - ")\n", - "print(\"Consumption functions for each discrete state:\")\n", - "mNrmMin = np.min([ImmunityExample.solution[0].mNrmMin[j] for j in range(StateCount)])\n", - "plot_funcs(ImmunityExample.solution[0].cFunc, mNrmMin, 10)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 3. Serial permanent income growth\n", - "\n", - "Let's create a consumer similar to the one in \"idiosyncratic shock\" model but who faces serially correlated permanent income growth in an economy subject to boom and bust cycles." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:46.424362Z", - "iopub.status.busy": "2024-07-11T15:27:46.424094Z", - "iopub.status.idle": "2024-07-11T15:27:46.426783Z", - "shell.execute_reply": "2024-07-11T15:27:46.426289Z" - } - }, - "outputs": [], - "source": [ - "# Make a consumer with serially correlated permanent income growth\n", - "UnempPrb = 0.05 # Unemployment probability\n", - "StateCount = 5 # Number of permanent income growth rates\n", - "Persistence = (\n", - " 0.5 # Probability of getting the same permanent income growth rate next period\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:46.428386Z", - "iopub.status.busy": "2024-07-11T15:27:46.428064Z", - "iopub.status.idle": "2024-07-11T15:27:46.431463Z", - "shell.execute_reply": "2024-07-11T15:27:46.430939Z" - } - }, - "outputs": [], - "source": [ - "IncomeDstnReg = DiscreteDistributionLabeled(\n", - " pmv=np.array([1 - UnempPrb, UnempPrb]),\n", - " atoms=np.array([[1.0, 1.0], [1.0, 0.0]]),\n", - " var_names=[\"PermShk\", \"TranShk\"],\n", - ")\n", - "IncomeDstn = StateCount * [\n", - " IncomeDstnReg,\n", - "] # Same simple income distribution in each state" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:46.433208Z", - "iopub.status.busy": "2024-07-11T15:27:46.432749Z", - "iopub.status.idle": "2024-07-11T15:27:46.435478Z", - "shell.execute_reply": "2024-07-11T15:27:46.434951Z" - } - }, - "outputs": [], - "source": [ - "# Make the state transition array for this type: Persistence probability of remaining in the same state, equiprobable otherwise\n", - "MrkvArray = Persistence * np.eye(StateCount) + (1.0 / StateCount) * (\n", - " 1.0 - Persistence\n", - ") * np.ones((StateCount, StateCount))" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:46.436956Z", - "iopub.status.busy": "2024-07-11T15:27:46.436724Z", - "iopub.status.idle": "2024-07-11T15:27:46.444107Z", - "shell.execute_reply": "2024-07-11T15:27:46.443535Z" - }, - "lines_to_next_cell": 2 - }, - "outputs": [], - "source": [ - "init_serial_growth = copy(init_indshk_markov)\n", - "init_serial_growth[\"MrkvArray\"] = [MrkvArray]\n", - "SerialGroExample = MarkovConsumerType(**init_serial_growth)\n", - "SerialGroExample.assign_parameters(MrkvArray=[MrkvArray])\n", - "SerialGroExample.assign_parameters(\n", - " Rfree=np.array(\n", - " np.array(StateCount * [1.03]),\n", - " ), # Same interest factor in each Markov state\n", - " PermGroFac=[\n", - " np.array([0.97, 0.99, 1.01, 1.03, 1.05]),\n", - " ], # Different permanent growth factor in each Markov state\n", - " LivPrb=[np.array(StateCount * [0.98])], # Same survival probability in all states\n", - " cycles=0,\n", - ")\n", - "SerialGroExample.IncShkDstn = [IncomeDstn]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 4. Serial Interest factor\n", - "\n", - "Finally, suppose that the consumer faces a interest factor serially correlated while his/her permanent income growth rate is constant." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:46.445698Z", - "iopub.status.busy": "2024-07-11T15:27:46.445437Z", - "iopub.status.idle": "2024-07-11T15:27:46.642321Z", - "shell.execute_reply": "2024-07-11T15:27:46.641785Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "The calc_limiting_values method must be run before the calc_stable_points method.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Solving a serially correlated growth consumer took 0.1337 seconds.\n", - "Consumption functions for each discrete state:\n" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Solve the serially correlated permanent growth shock problem and display the consumption functions\n", - "start_time = process_time()\n", - "SerialGroExample.solve()\n", - "end_time = process_time()\n", - "print(\n", - " \"Solving a serially correlated growth consumer took \"\n", - " + mystr(end_time - start_time)\n", - " + \" seconds.\",\n", - ")\n", - "print(\"Consumption functions for each discrete state:\")\n", - "plot_funcs(SerialGroExample.solution[0].cFunc, 0, 10)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:46.643965Z", - "iopub.status.busy": "2024-07-11T15:27:46.643712Z", - "iopub.status.idle": "2024-07-11T15:27:46.648979Z", - "shell.execute_reply": "2024-07-11T15:27:46.648525Z" - } - }, - "outputs": [], - "source": [ - "# Make a consumer with serially correlated interest factors\n", - "SerialRExample = deepcopy(SerialGroExample) # Same as the last problem...\n", - "SerialRExample.assign_parameters(\n", - " PermGroFac=[\n", - " np.array(StateCount * [1.01]),\n", - " ], # ...but now the permanent growth factor is constant...\n", - " Rfree=np.array([1.01, 1.02, 1.03, 1.04, 1.05]),\n", - ") # ...and the interest factor is what varies across states" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:46.650470Z", - "iopub.status.busy": "2024-07-11T15:27:46.650246Z", - "iopub.status.idle": "2024-07-11T15:27:46.822371Z", - "shell.execute_reply": "2024-07-11T15:27:46.821851Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "The calc_limiting_values method must be run before the calc_stable_points method.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Solving a serially correlated interest consumer took 0.1082 seconds.\n", - "Consumption functions for each discrete state:\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Solve the serially correlated interest rate problem and display the consumption functions\n", - "start_time = process_time()\n", - "SerialRExample.solve()\n", - "end_time = process_time()\n", - "print(\n", - " \"Solving a serially correlated interest consumer took \"\n", - " + mystr(end_time - start_time)\n", - " + \" seconds.\",\n", - ")\n", - "print(\"Consumption functions for each discrete state:\")\n", - "plot_funcs(SerialRExample.solution[0].cFunc, 0, 10)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "jupytext": { - "cell_metadata_filter": "-all", - "encoding": "# -*- coding: utf-8 -*-", - "formats": "ipynb,py:percent" - }, - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.9" - }, - "latex_envs": { - "LaTeX_envs_menu_present": true, - "autoclose": false, - "autocomplete": true, - "bibliofile": "biblio.bib", - "cite_by": "apalike", - "current_citInitial": 1, - "eqLabelWithNumbers": true, - "eqNumInitial": 1, - "hotkeys": { - "equation": "Ctrl-E", - "itemize": "Ctrl-I" - }, - "labels_anchors": false, - "latex_user_defs": false, - "report_style_numbering": false, - "user_envs_cfg": false - } - }, - "nbformat": 4, - "nbformat_minor": 4 + "nbformat": 4, + "nbformat_minor": 4 } diff --git a/examples/ConsumptionSaving/example_TractableBufferStockModel.ipynb b/examples/ConsumptionSaving/example_TractableBufferStockModel.ipynb index ccf207721..ec3187ac6 100644 --- a/examples/ConsumptionSaving/example_TractableBufferStockModel.ipynb +++ b/examples/ConsumptionSaving/example_TractableBufferStockModel.ipynb @@ -1,416 +1,416 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Example TractableBufferStockModel" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:37.397658Z", - "iopub.status.busy": "2024-07-11T15:28:37.397488Z", - "iopub.status.idle": "2024-07-11T15:28:38.138893Z", - "shell.execute_reply": "2024-07-11T15:28:38.138246Z" - } - }, - "outputs": [], - "source": [ - "# An alternative, much longer way to solve the TBS model\n", - "from time import process_time # timing utility\n", - "\n", - "import numpy as np # numeric Python\n", - "\n", - "from HARK.ConsumptionSaving.ConsMarkovModel import (\n", - " MarkovConsumerType,\n", - ")\n", - "from HARK.ConsumptionSaving.TractableBufferStockModel import TractableConsumerType\n", - "from HARK.distribution import DiscreteDistributionLabeled\n", - "from HARK.utilities import plot_funcs # basic plotting tools\n", - "\n", - "do_simulation = True" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:38.140862Z", - "iopub.status.busy": "2024-07-11T15:28:38.140575Z", - "iopub.status.idle": "2024-07-11T15:28:38.143289Z", - "shell.execute_reply": "2024-07-11T15:28:38.142819Z" - } - }, - "outputs": [], - "source": [ - "# Define the model primitives\n", - "base_primitives = {\n", - " \"UnempPrb\": 0.00625, # Probability of becoming unemployed\n", - " \"DiscFac\": 0.975, # Intertemporal discount factor\n", - " \"Rfree\": 1.01, # Risk-free interest factor on assets\n", - " \"PermGroFac\": 1.0025, # Permanent income growth factor (uncompensated)\n", - " \"CRRA\": 1.0,\n", - "} # Coefficient of relative risk aversion" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:38.144857Z", - "iopub.status.busy": "2024-07-11T15:28:38.144604Z", - "iopub.status.idle": "2024-07-11T15:28:38.147174Z", - "shell.execute_reply": "2024-07-11T15:28:38.146723Z" - } - }, - "outputs": [], - "source": [ - "# Define a dictionary to be used in case of simulation\n", - "simulation_values = {\n", - " \"aLvlInitMean\": 0.0, # Mean of log initial assets for new agents\n", - " \"aLvlInitStd\": 1.0, # Stdev of log initial assets for new agents\n", - " \"AgentCount\": 10000, # Number of agents to simulate\n", - " \"T_sim\": 120, # Number of periods to simulate\n", - " \"T_cycle\": 1,\n", - "} # Number of periods in the cycle" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:38.148655Z", - "iopub.status.busy": "2024-07-11T15:28:38.148424Z", - "iopub.status.idle": "2024-07-11T15:28:38.153501Z", - "shell.execute_reply": "2024-07-11T15:28:38.153035Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Solving a tractable consumption-savings model took 0.0018313999999999275 seconds.\n" - ] - } - ], - "source": [ - "# Make and solve a tractable consumer type\n", - "ExampleType = TractableConsumerType()\n", - "ExampleType.assign_parameters(**base_primitives)\n", - "t_start = process_time()\n", - "ExampleType.solve()\n", - "t_end = process_time()\n", - "print(\n", - " \"Solving a tractable consumption-savings model took \"\n", - " + str(t_end - t_start)\n", - " + \" seconds.\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:38.155159Z", - "iopub.status.busy": "2024-07-11T15:28:38.154710Z", - "iopub.status.idle": "2024-07-11T15:28:38.452503Z", - "shell.execute_reply": "2024-07-11T15:28:38.451910Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Plot the consumption function and whatnot\n", - "m_upper = 1.5 * ExampleType.mTarg\n", - "conFunc_PF = lambda m: ExampleType.h * ExampleType.PFMPC + ExampleType.PFMPC * m\n", - "# plot_funcs([ExampleType.solution[0].cFunc,ExampleType.mSSfunc,ExampleType.cSSfunc],0,m_upper)\n", - "plot_funcs([ExampleType.solution[0].cFunc, ExampleType.solution[0].cFunc_U], 0, m_upper)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:38.454367Z", - "iopub.status.busy": "2024-07-11T15:28:38.454005Z", - "iopub.status.idle": "2024-07-11T15:28:38.615600Z", - "shell.execute_reply": "2024-07-11T15:28:38.615039Z" + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Example TractableBufferStockModel" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:37.397658Z", + "iopub.status.busy": "2024-07-11T15:28:37.397488Z", + "iopub.status.idle": "2024-07-11T15:28:38.138893Z", + "shell.execute_reply": "2024-07-11T15:28:38.138246Z" + } + }, + "outputs": [], + "source": [ + "# An alternative, much longer way to solve the TBS model\n", + "from time import process_time # timing utility\n", + "\n", + "import numpy as np # numeric Python\n", + "\n", + "from HARK.ConsumptionSaving.ConsMarkovModel import (\n", + " MarkovConsumerType,\n", + ")\n", + "from HARK.ConsumptionSaving.TractableBufferStockModel import TractableConsumerType\n", + "from HARK.distributions import DiscreteDistributionLabeled\n", + "from HARK.utilities import plot_funcs # basic plotting tools\n", + "\n", + "do_simulation = True" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:38.140862Z", + "iopub.status.busy": "2024-07-11T15:28:38.140575Z", + "iopub.status.idle": "2024-07-11T15:28:38.143289Z", + "shell.execute_reply": "2024-07-11T15:28:38.142819Z" + } + }, + "outputs": [], + "source": [ + "# Define the model primitives\n", + "base_primitives = {\n", + " \"UnempPrb\": 0.00625, # Probability of becoming unemployed\n", + " \"DiscFac\": 0.975, # Intertemporal discount factor\n", + " \"Rfree\": 1.01, # Risk-free interest factor on assets\n", + " \"PermGroFac\": 1.0025, # Permanent income growth factor (uncompensated)\n", + " \"CRRA\": 1.0,\n", + "} # Coefficient of relative risk aversion" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:38.144857Z", + "iopub.status.busy": "2024-07-11T15:28:38.144604Z", + "iopub.status.idle": "2024-07-11T15:28:38.147174Z", + "shell.execute_reply": "2024-07-11T15:28:38.146723Z" + } + }, + "outputs": [], + "source": [ + "# Define a dictionary to be used in case of simulation\n", + "simulation_values = {\n", + " \"aLvlInitMean\": 0.0, # Mean of log initial assets for new agents\n", + " \"aLvlInitStd\": 1.0, # Stdev of log initial assets for new agents\n", + " \"AgentCount\": 10000, # Number of agents to simulate\n", + " \"T_sim\": 120, # Number of periods to simulate\n", + " \"T_cycle\": 1,\n", + "} # Number of periods in the cycle" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:38.148655Z", + "iopub.status.busy": "2024-07-11T15:28:38.148424Z", + "iopub.status.idle": "2024-07-11T15:28:38.153501Z", + "shell.execute_reply": "2024-07-11T15:28:38.153035Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Solving a tractable consumption-savings model took 0.0018313999999999275 seconds.\n" + ] + } + ], + "source": [ + "# Make and solve a tractable consumer type\n", + "ExampleType = TractableConsumerType()\n", + "ExampleType.assign_parameters(**base_primitives)\n", + "t_start = process_time()\n", + "ExampleType.solve()\n", + "t_end = process_time()\n", + "print(\n", + " \"Solving a tractable consumption-savings model took \"\n", + " + str(t_end - t_start)\n", + " + \" seconds.\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:38.155159Z", + "iopub.status.busy": "2024-07-11T15:28:38.154710Z", + "iopub.status.idle": "2024-07-11T15:28:38.452503Z", + "shell.execute_reply": "2024-07-11T15:28:38.451910Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the consumption function and whatnot\n", + "m_upper = 1.5 * ExampleType.mTarg\n", + "conFunc_PF = lambda m: ExampleType.h * ExampleType.PFMPC + ExampleType.PFMPC * m\n", + "# plot_funcs([ExampleType.solution[0].cFunc,ExampleType.mSSfunc,ExampleType.cSSfunc],0,m_upper)\n", + "plot_funcs([ExampleType.solution[0].cFunc, ExampleType.solution[0].cFunc_U], 0, m_upper)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:38.454367Z", + "iopub.status.busy": "2024-07-11T15:28:38.454005Z", + "iopub.status.idle": "2024-07-11T15:28:38.615600Z", + "shell.execute_reply": "2024-07-11T15:28:38.615039Z" + }, + "lines_to_next_cell": 2 + }, + "outputs": [], + "source": [ + "if do_simulation:\n", + " ExampleType.assign_parameters(\n", + " **simulation_values,\n", + " ) # Set attributes needed for simulation\n", + " ExampleType.track_vars = [\"mLvl\"]\n", + " ExampleType.make_shock_history()\n", + " ExampleType.initialize_sim()\n", + " ExampleType.simulate()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:38.617489Z", + "iopub.status.busy": "2024-07-11T15:28:38.617241Z", + "iopub.status.idle": "2024-07-11T15:28:38.624528Z", + "shell.execute_reply": "2024-07-11T15:28:38.624049Z" + } + }, + "outputs": [], + "source": [ + "# Now solve the same model using backward induction rather than the analytic method of TBS.\n", + "# The TBS model is equivalent to a Markov model with two states, one of them absorbing (permanent unemployment).\n", + "MrkvArray = np.array(\n", + " [[1.0 - base_primitives[\"UnempPrb\"], base_primitives[\"UnempPrb\"]], [0.0, 1.0]],\n", + ") # Define the two state, absorbing unemployment Markov array\n", + "init_consumer_objects = {\n", + " \"CRRA\": base_primitives[\"CRRA\"],\n", + " \"Rfree\": np.array(\n", + " 2 * [base_primitives[\"Rfree\"]],\n", + " ), # Interest factor (same in both states)\n", + " \"PermGroFac\": [\n", + " np.array(\n", + " 2 * [base_primitives[\"PermGroFac\"] / (1.0 - base_primitives[\"UnempPrb\"])],\n", + " ),\n", + " ], # Unemployment-compensated permanent growth factor\n", + " \"BoroCnstArt\": None, # Artificial borrowing constraint\n", + " \"PermShkStd\": [0.0], # Permanent shock standard deviation\n", + " \"PermShkCount\": 1, # Number of shocks in discrete permanent shock distribution\n", + " \"TranShkStd\": [0.0], # Transitory shock standard deviation\n", + " \"TranShkCount\": 1, # Number of shocks in discrete permanent shock distribution\n", + " \"T_cycle\": 1, # Number of periods in cycle\n", + " \"UnempPrb\": 0.0, # Unemployment probability (not used, as the unemployment here is *permanent*, not transitory)\n", + " \"UnempPrbRet\": 0.0, # Unemployment probability when retired (irrelevant here)\n", + " \"T_retire\": 0, # Age at retirement (turned off)\n", + " \"IncUnemp\": 0.0, # Income when unemployed (irrelevant)\n", + " \"IncUnempRet\": 0.0, # Income when unemployed and retired (irrelevant)\n", + " \"aXtraMin\": 0.001, # Minimum value of assets above minimum in grid\n", + " \"aXtraMax\": ExampleType.mUpperBnd, # Maximum value of assets above minimum in grid\n", + " \"aXtraCount\": 48, # Number of points in assets grid\n", + " \"aXtraExtra\": None, # Additional points to include in assets grid\n", + " \"aXtraNestFac\": 3, # Degree of exponential nesting when constructing assets grid\n", + " \"LivPrb\": [np.array([1.0, 1.0])], # Survival probability\n", + " \"DiscFac\": base_primitives[\"DiscFac\"], # Intertemporal discount factor\n", + " \"AgentCount\": 1, # Number of agents in a simulation (irrelevant)\n", + " \"tax_rate\": 0.0, # Tax rate on labor income (irrelevant)\n", + " \"vFuncBool\": False, # Whether to calculate the value function\n", + " \"CubicBool\": True, # Whether to use cubic splines (False --> linear splines)\n", + " \"MrkvArray\": [MrkvArray], # State transition probabilities\n", + "}\n", + "MarkovType = MarkovConsumerType(**init_consumer_objects) # Make a basic consumer type" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:38.625993Z", + "iopub.status.busy": "2024-07-11T15:28:38.625752Z", + "iopub.status.idle": "2024-07-11T15:28:38.629449Z", + "shell.execute_reply": "2024-07-11T15:28:38.628984Z" + } + }, + "outputs": [], + "source": [ + "employed_income_dist = DiscreteDistributionLabeled(\n", + " pmv=np.ones(1),\n", + " atoms=np.array([[1.0], [1.0]]),\n", + " var_names=[\"PermShk\", \"TranShk\"],\n", + ") # Income distribution when employed\n", + "unemployed_income_dist = DiscreteDistributionLabeled(\n", + " pmv=np.ones(1),\n", + " atoms=np.array([[1.0], [0.0]]),\n", + " var_names=[\"PermShk\", \"TranShk\"],\n", + ") # Income distribution when permanently unemployed" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:38.630942Z", + "iopub.status.busy": "2024-07-11T15:28:38.630695Z", + "iopub.status.idle": "2024-07-11T15:28:38.633030Z", + "shell.execute_reply": "2024-07-11T15:28:38.632580Z" + } + }, + "outputs": [], + "source": [ + "MarkovType.IncShkDstn = [\n", + " [employed_income_dist, unemployed_income_dist],\n", + "] # set the income distribution in each state\n", + "MarkovType.cycles = 0" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:38.634478Z", + "iopub.status.busy": "2024-07-11T15:28:38.634249Z", + "iopub.status.idle": "2024-07-11T15:28:38.764369Z", + "shell.execute_reply": "2024-07-11T15:28:38.763860Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "The calc_limiting_values method must be run before the calc_stable_points method.\n" + ] + } + ], + "source": [ + "# Solve the \"Markov TBS\" model\n", + "t_start = process_time()\n", + "MarkovType.solve()\n", + "t_end = process_time()\n", + "MarkovType.unpack(\"cFunc\")" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:38.765970Z", + "iopub.status.busy": "2024-07-11T15:28:38.765719Z", + "iopub.status.idle": "2024-07-11T15:28:38.882997Z", + "shell.execute_reply": "2024-07-11T15:28:38.882470Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Solving the same model \"the long way\" took 0.12803889999999996 seconds.\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Difference between the (employed) consumption functions:\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print(\n", + " 'Solving the same model \"the long way\" took ' + str(t_end - t_start) + \" seconds.\",\n", + ")\n", + "# plot_funcs([ExampleType.solution[0].cFunc,ExampleType.solution[0].cFunc_U],0,m_upper)\n", + "plot_funcs(MarkovType.cFunc[0], 0, m_upper)\n", + "diffFunc = lambda m: ExampleType.solution[0].cFunc(m) - MarkovType.cFunc[0][0](m)\n", + "print(\"Difference between the (employed) consumption functions:\")\n", + "plot_funcs(diffFunc, 0, m_upper)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "jupytext": { + "cell_metadata_filter": "-all", + "formats": "ipynb,py:percent" + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + }, + "latex_envs": { + "LaTeX_envs_menu_present": true, + "autoclose": false, + "autocomplete": true, + "bibliofile": "biblio.bib", + "cite_by": "apalike", + "current_citInitial": 1, + "eqLabelWithNumbers": true, + "eqNumInitial": 1, + "hotkeys": { + "equation": "Ctrl-E", + "itemize": "Ctrl-I" + }, + "labels_anchors": false, + "latex_user_defs": false, + "report_style_numbering": false, + "user_envs_cfg": false + } }, - "lines_to_next_cell": 2 - }, - "outputs": [], - "source": [ - "if do_simulation:\n", - " ExampleType.assign_parameters(\n", - " **simulation_values,\n", - " ) # Set attributes needed for simulation\n", - " ExampleType.track_vars = [\"mLvl\"]\n", - " ExampleType.make_shock_history()\n", - " ExampleType.initialize_sim()\n", - " ExampleType.simulate()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:38.617489Z", - "iopub.status.busy": "2024-07-11T15:28:38.617241Z", - "iopub.status.idle": "2024-07-11T15:28:38.624528Z", - "shell.execute_reply": "2024-07-11T15:28:38.624049Z" - } - }, - "outputs": [], - "source": [ - "# Now solve the same model using backward induction rather than the analytic method of TBS.\n", - "# The TBS model is equivalent to a Markov model with two states, one of them absorbing (permanent unemployment).\n", - "MrkvArray = np.array(\n", - " [[1.0 - base_primitives[\"UnempPrb\"], base_primitives[\"UnempPrb\"]], [0.0, 1.0]],\n", - ") # Define the two state, absorbing unemployment Markov array\n", - "init_consumer_objects = {\n", - " \"CRRA\": base_primitives[\"CRRA\"],\n", - " \"Rfree\": np.array(\n", - " 2 * [base_primitives[\"Rfree\"]],\n", - " ), # Interest factor (same in both states)\n", - " \"PermGroFac\": [\n", - " np.array(\n", - " 2 * [base_primitives[\"PermGroFac\"] / (1.0 - base_primitives[\"UnempPrb\"])],\n", - " ),\n", - " ], # Unemployment-compensated permanent growth factor\n", - " \"BoroCnstArt\": None, # Artificial borrowing constraint\n", - " \"PermShkStd\": [0.0], # Permanent shock standard deviation\n", - " \"PermShkCount\": 1, # Number of shocks in discrete permanent shock distribution\n", - " \"TranShkStd\": [0.0], # Transitory shock standard deviation\n", - " \"TranShkCount\": 1, # Number of shocks in discrete permanent shock distribution\n", - " \"T_cycle\": 1, # Number of periods in cycle\n", - " \"UnempPrb\": 0.0, # Unemployment probability (not used, as the unemployment here is *permanent*, not transitory)\n", - " \"UnempPrbRet\": 0.0, # Unemployment probability when retired (irrelevant here)\n", - " \"T_retire\": 0, # Age at retirement (turned off)\n", - " \"IncUnemp\": 0.0, # Income when unemployed (irrelevant)\n", - " \"IncUnempRet\": 0.0, # Income when unemployed and retired (irrelevant)\n", - " \"aXtraMin\": 0.001, # Minimum value of assets above minimum in grid\n", - " \"aXtraMax\": ExampleType.mUpperBnd, # Maximum value of assets above minimum in grid\n", - " \"aXtraCount\": 48, # Number of points in assets grid\n", - " \"aXtraExtra\": None, # Additional points to include in assets grid\n", - " \"aXtraNestFac\": 3, # Degree of exponential nesting when constructing assets grid\n", - " \"LivPrb\": [np.array([1.0, 1.0])], # Survival probability\n", - " \"DiscFac\": base_primitives[\"DiscFac\"], # Intertemporal discount factor\n", - " \"AgentCount\": 1, # Number of agents in a simulation (irrelevant)\n", - " \"tax_rate\": 0.0, # Tax rate on labor income (irrelevant)\n", - " \"vFuncBool\": False, # Whether to calculate the value function\n", - " \"CubicBool\": True, # Whether to use cubic splines (False --> linear splines)\n", - " \"MrkvArray\": [MrkvArray], # State transition probabilities\n", - "}\n", - "MarkovType = MarkovConsumerType(**init_consumer_objects) # Make a basic consumer type" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:38.625993Z", - "iopub.status.busy": "2024-07-11T15:28:38.625752Z", - "iopub.status.idle": "2024-07-11T15:28:38.629449Z", - "shell.execute_reply": "2024-07-11T15:28:38.628984Z" - } - }, - "outputs": [], - "source": [ - "employed_income_dist = DiscreteDistributionLabeled(\n", - " pmv=np.ones(1),\n", - " atoms=np.array([[1.0], [1.0]]),\n", - " var_names=[\"PermShk\", \"TranShk\"],\n", - ") # Income distribution when employed\n", - "unemployed_income_dist = DiscreteDistributionLabeled(\n", - " pmv=np.ones(1),\n", - " atoms=np.array([[1.0], [0.0]]),\n", - " var_names=[\"PermShk\", \"TranShk\"],\n", - ") # Income distribution when permanently unemployed" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:38.630942Z", - "iopub.status.busy": "2024-07-11T15:28:38.630695Z", - "iopub.status.idle": "2024-07-11T15:28:38.633030Z", - "shell.execute_reply": "2024-07-11T15:28:38.632580Z" - } - }, - "outputs": [], - "source": [ - "MarkovType.IncShkDstn = [\n", - " [employed_income_dist, unemployed_income_dist],\n", - "] # set the income distribution in each state\n", - "MarkovType.cycles = 0" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:38.634478Z", - "iopub.status.busy": "2024-07-11T15:28:38.634249Z", - "iopub.status.idle": "2024-07-11T15:28:38.764369Z", - "shell.execute_reply": "2024-07-11T15:28:38.763860Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "The calc_limiting_values method must be run before the calc_stable_points method.\n" - ] - } - ], - "source": [ - "# Solve the \"Markov TBS\" model\n", - "t_start = process_time()\n", - "MarkovType.solve()\n", - "t_end = process_time()\n", - "MarkovType.unpack(\"cFunc\")" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:38.765970Z", - "iopub.status.busy": "2024-07-11T15:28:38.765719Z", - "iopub.status.idle": "2024-07-11T15:28:38.882997Z", - "shell.execute_reply": "2024-07-11T15:28:38.882470Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Solving the same model \"the long way\" took 0.12803889999999996 seconds.\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Difference between the (employed) consumption functions:\n" - ] - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "print(\n", - " 'Solving the same model \"the long way\" took ' + str(t_end - t_start) + \" seconds.\",\n", - ")\n", - "# plot_funcs([ExampleType.solution[0].cFunc,ExampleType.solution[0].cFunc_U],0,m_upper)\n", - "plot_funcs(MarkovType.cFunc[0], 0, m_upper)\n", - "diffFunc = lambda m: ExampleType.solution[0].cFunc(m) - MarkovType.cFunc[0][0](m)\n", - "print(\"Difference between the (employed) consumption functions:\")\n", - "plot_funcs(diffFunc, 0, m_upper)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "jupytext": { - "cell_metadata_filter": "-all", - "formats": "ipynb,py:percent" - }, - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.9" - }, - "latex_envs": { - "LaTeX_envs_menu_present": true, - "autoclose": false, - "autocomplete": true, - "bibliofile": "biblio.bib", - "cite_by": "apalike", - "current_citInitial": 1, - "eqLabelWithNumbers": true, - "eqNumInitial": 1, - "hotkeys": { - "equation": "Ctrl-E", - "itemize": "Ctrl-I" - }, - "labels_anchors": false, - "latex_user_defs": false, - "report_style_numbering": false, - "user_envs_cfg": false - } - }, - "nbformat": 4, - "nbformat_minor": 4 + "nbformat": 4, + "nbformat_minor": 4 } diff --git a/examples/Distributions/DiscreteDistributionLabeled.ipynb b/examples/Distributions/DiscreteDistributionLabeled.ipynb index 8f15d6739..48e2fbe03 100644 --- a/examples/Distributions/DiscreteDistributionLabeled.ipynb +++ b/examples/Distributions/DiscreteDistributionLabeled.ipynb @@ -1,835 +1,835 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# `DDL`: Using `xarray` in `DiscreteDistribution`\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First we import relevant libraries and tools, including the new `DiscreteDistributionLabeled` class.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:39.809239Z", - "iopub.status.busy": "2024-07-11T15:28:39.808988Z", - "iopub.status.idle": "2024-07-11T15:28:40.352492Z", - "shell.execute_reply": "2024-07-11T15:28:40.351950Z" - } - }, - "outputs": [], - "source": [ - "import numpy as np\n", - "\n", - "from HARK.distribution import (\n", - " DiscreteDistributionLabeled,\n", - " MeanOneLogNormal,\n", - " calc_expectation,\n", - " combine_indep_dstns,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We create a distribution of shocks to income from continuous distributions.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:40.354583Z", - "iopub.status.busy": "2024-07-11T15:28:40.354231Z", - "iopub.status.idle": "2024-07-11T15:28:40.363445Z", - "shell.execute_reply": "2024-07-11T15:28:40.362927Z" - } - }, - "outputs": [], - "source": [ - "PermShkDstn = MeanOneLogNormal().discretize(200)\n", - "TranShkDstn = MeanOneLogNormal().discretize(200)\n", - "IncShkDstn = combine_indep_dstns(PermShkDstn, TranShkDstn)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Taking the components of `IncShkDstn`, we can now create a `DiscreteDistributionLabeled` object. As a demonstration of additional features, we can add a name attribute to the `DDL` object, as well as named dimensions and coordinates.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:40.365035Z", - "iopub.status.busy": "2024-07-11T15:28:40.364789Z", - "iopub.status.idle": "2024-07-11T15:28:40.368409Z", - "shell.execute_reply": "2024-07-11T15:28:40.367721Z" - } - }, - "outputs": [], - "source": [ - "x_dist = DiscreteDistributionLabeled.from_unlabeled(\n", - " IncShkDstn,\n", - " name=\"Distribution of Shocks to Income\",\n", - " var_names=[\"perm_shk\", \"tran_shk\"],\n", - " var_attrs=[\n", - " {\n", - " \"name\": \"Permanent Shocks to Income\",\n", - " \"limit\": {\"type\": \"Lognormal\", \"mean\": -0.5, \"variance\": 1.0},\n", - " },\n", - " {\n", - " \"name\": \"Transitory Shocks to Income\",\n", - " \"limit\": {\"type\": \"Lognormal\", \"mean\": -0.5, \"variance\": 1.0},\n", - " },\n", - " ],\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The underlying object and metadata is stored in a `xarray.Dataset` object which can be accessed using the `.dataset` attribute.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:40.369943Z", - "iopub.status.busy": "2024-07-11T15:28:40.369702Z", - "iopub.status.idle": "2024-07-11T15:28:40.379462Z", - "shell.execute_reply": "2024-07-11T15:28:40.378988Z" - } - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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<xarray.Dataset> Size: 640kB\n",
-       "Dimensions:   (atom: 40000)\n",
-       "Dimensions without coordinates: atom\n",
-       "Data variables:\n",
-       "    perm_shk  (atom) float64 320kB 0.03491 0.03491 0.03491 ... 11.51 11.51 11.51\n",
-       "    tran_shk  (atom) float64 320kB 0.03491 0.05308 0.0644 ... 5.724 6.966 11.51\n",
-       "Attributes:\n",
-       "    name:     Distribution of Shocks to Income
" - ], - "text/plain": [ - " Size: 640kB\n", - "Dimensions: (atom: 40000)\n", - "Dimensions without coordinates: atom\n", - "Data variables:\n", - " perm_shk (atom) float64 320kB 0.03491 0.03491 0.03491 ... 11.51 11.51 11.51\n", - " tran_shk (atom) float64 320kB 0.03491 0.05308 0.0644 ... 5.724 6.966 11.51\n", - "Attributes:\n", - " name: Distribution of Shocks to Income" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "x_dist.dataset" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Using functions with labels to take expresive expectations.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Taking the expectation of a `DDL` object is straightforward using the own `expected()` method.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:40.380980Z", - "iopub.status.busy": "2024-07-11T15:28:40.380727Z", - "iopub.status.idle": "2024-07-11T15:28:40.384030Z", - "shell.execute_reply": "2024-07-11T15:28:40.383566Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([1., 1.])" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "x_dist.expected()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "As in the `DiscreteDistribution`, we can provide a function and arguments to the `expected()` method.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:40.385529Z", - "iopub.status.busy": "2024-07-11T15:28:40.385283Z", - "iopub.status.idle": "2024-07-11T15:28:40.387737Z", - "shell.execute_reply": "2024-07-11T15:28:40.387244Z" - } - }, - "outputs": [], - "source": [ - "aGrid = np.linspace(0, 20, 100)\n", - "R = 1.03" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The main difference is that the `expected()` method of `DDL` objects can take a function that uses the labels of the `xarray.DataArray` object. This allows for clearer and more expresive mathematical functions and transition equations. Surprisingly, using a function with labels does not add much overhead to the function evaluation.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:40.389284Z", - "iopub.status.busy": "2024-07-11T15:28:40.388887Z", - "iopub.status.idle": "2024-07-11T15:28:50.798166Z", - "shell.execute_reply": "2024-07-11T15:28:50.797376Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "12.9 ms ± 268 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "x_dist.expected(\n", - " lambda dist, a, R: R * a / dist[\"perm_shk\"] + dist[\"tran_shk\"],\n", - " aGrid,\n", - " R,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Compared to the old method of `calc_expectation` which takes a `DiscreteDistribution` object as input, the new method which takes a `DiscreteDistributionLabeled` object is significantly faster." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:50.801014Z", - "iopub.status.busy": "2024-07-11T15:28:50.800415Z", - "iopub.status.idle": "2024-07-11T15:29:04.469314Z", - "shell.execute_reply": "2024-07-11T15:29:04.468693Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "169 ms ± 1.57 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "calc_expectation(IncShkDstn, lambda dist, a, R: R * a / dist[0] + dist[1], aGrid, R)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can also use `HARK.distribution.expected`.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:29:04.471912Z", - "iopub.status.busy": "2024-07-11T15:29:04.471287Z", - "iopub.status.idle": "2024-07-11T15:29:04.474795Z", - "shell.execute_reply": "2024-07-11T15:29:04.474058Z" - } - }, - "outputs": [], - "source": [ - "from HARK.distribution import expected" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:29:04.477066Z", - "iopub.status.busy": "2024-07-11T15:29:04.476612Z", - "iopub.status.idle": "2024-07-11T15:29:04.497062Z", - "shell.execute_reply": "2024-07-11T15:29:04.496453Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 1. , 1.56267794, 2.12535588, 2.68803382, 3.25071176,\n", - " 3.8133897 , 4.37606764, 4.93874558, 5.50142352, 6.06410146,\n", - " 6.6267794 , 7.18945734, 7.75213528, 8.31481322, 8.87749116,\n", - " 9.4401691 , 10.00284704, 10.56552498, 11.12820292, 11.69088086,\n", - " 12.2535588 , 12.81623674, 13.37891468, 13.94159262, 14.50427056,\n", - " 15.0669485 , 15.62962644, 16.19230438, 16.75498232, 17.31766026,\n", - " 17.8803382 , 18.44301614, 19.00569408, 19.56837202, 20.13104997,\n", - " 20.69372791, 21.25640585, 21.81908379, 22.38176173, 22.94443967,\n", - " 23.50711761, 24.06979555, 24.63247349, 25.19515143, 25.75782937,\n", - " 26.32050731, 26.88318525, 27.44586319, 28.00854113, 28.57121907,\n", - " 29.13389701, 29.69657495, 30.25925289, 30.82193083, 31.38460877,\n", - " 31.94728671, 32.50996465, 33.07264259, 33.63532053, 34.19799847,\n", - " 34.76067641, 35.32335435, 35.88603229, 36.44871023, 37.01138817,\n", - " 37.57406611, 38.13674405, 38.69942199, 39.26209993, 39.82477787,\n", - " 40.38745581, 40.95013375, 41.51281169, 42.07548963, 42.63816757,\n", - " 43.20084551, 43.76352345, 44.32620139, 44.88887933, 45.45155727,\n", - " 46.01423521, 46.57691315, 47.13959109, 47.70226903, 48.26494697,\n", - " 48.82762491, 49.39030285, 49.95298079, 50.51565873, 51.07833667,\n", - " 51.64101461, 52.20369255, 52.76637049, 53.32904843, 53.89172637,\n", - " 54.45440431, 55.01708225, 55.57976019, 56.14243813, 56.70511607])" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "expected(\n", - " func=lambda dist, a, R: R * a / dist[\"perm_shk\"] + dist[\"tran_shk\"],\n", - " dist=x_dist,\n", - " args=(aGrid, R),\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Additionally, we can use xarrays as inputs via keyword arguments." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:29:04.499560Z", - "iopub.status.busy": "2024-07-11T15:29:04.499106Z", - "iopub.status.idle": "2024-07-11T15:29:04.502529Z", - "shell.execute_reply": "2024-07-11T15:29:04.501988Z" - } - }, - "outputs": [], - "source": [ - "from xarray import DataArray\n", - "\n", - "aNrm = DataArray(aGrid, name=\"aNrm\", dims=(\"aNrm\"))" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:29:04.504656Z", - "iopub.status.busy": "2024-07-11T15:29:04.504464Z", - "iopub.status.idle": "2024-07-11T15:29:04.510221Z", - "shell.execute_reply": "2024-07-11T15:29:04.509618Z" - } - }, - "outputs": [], - "source": [ - "def mNrm_next(dist, R, a=None):\n", - " variables = {}\n", - " variables[\"mNrm_next\"] = R * a / dist[\"perm_shk\"] + dist[\"tran_shk\"]\n", - " return variables" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:29:04.512037Z", - "iopub.status.busy": "2024-07-11T15:29:04.511882Z", - "iopub.status.idle": "2024-07-11T15:29:17.731513Z", - "shell.execute_reply": "2024-07-11T15:29:17.730953Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "16.3 ms ± 142 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "expected(\n", - " func=mNrm_next,\n", - " dist=x_dist,\n", - " args=R,\n", - " a=aNrm,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Taking the expectation with xarray inputs and labeled equations is still significantly faster than the old method." - ] - } - ], - "metadata": { - "jupytext": { - "formats": "ipynb,py:percent" - }, - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.9" - }, - "vscode": { - "interpreter": { - "hash": "ab336f3885e19cdf99951e4b73ee65835b5095c97279903ad09e0692d3a202c7" - } - } - }, - "nbformat": 4, - "nbformat_minor": 4 + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# `DDL`: Using `xarray` in `DiscreteDistribution`\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First we import relevant libraries and tools, including the new `DiscreteDistributionLabeled` class.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:39.809239Z", + "iopub.status.busy": "2024-07-11T15:28:39.808988Z", + "iopub.status.idle": "2024-07-11T15:28:40.352492Z", + "shell.execute_reply": "2024-07-11T15:28:40.351950Z" + } + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "from HARK.distributions import (\n", + " DiscreteDistributionLabeled,\n", + " MeanOneLogNormal,\n", + " calc_expectation,\n", + " combine_indep_dstns,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We create a distribution of shocks to income from continuous distributions.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:40.354583Z", + "iopub.status.busy": "2024-07-11T15:28:40.354231Z", + "iopub.status.idle": "2024-07-11T15:28:40.363445Z", + "shell.execute_reply": "2024-07-11T15:28:40.362927Z" + } + }, + "outputs": [], + "source": [ + "PermShkDstn = MeanOneLogNormal().discretize(200)\n", + "TranShkDstn = MeanOneLogNormal().discretize(200)\n", + "IncShkDstn = combine_indep_dstns(PermShkDstn, TranShkDstn)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Taking the components of `IncShkDstn`, we can now create a `DiscreteDistributionLabeled` object. As a demonstration of additional features, we can add a name attribute to the `DDL` object, as well as named dimensions and coordinates.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:40.365035Z", + "iopub.status.busy": "2024-07-11T15:28:40.364789Z", + "iopub.status.idle": "2024-07-11T15:28:40.368409Z", + "shell.execute_reply": "2024-07-11T15:28:40.367721Z" + } + }, + "outputs": [], + "source": [ + "x_dist = DiscreteDistributionLabeled.from_unlabeled(\n", + " IncShkDstn,\n", + " name=\"Distribution of Shocks to Income\",\n", + " var_names=[\"perm_shk\", \"tran_shk\"],\n", + " var_attrs=[\n", + " {\n", + " \"name\": \"Permanent Shocks to Income\",\n", + " \"limit\": {\"type\": \"Lognormal\", \"mean\": -0.5, \"variance\": 1.0},\n", + " },\n", + " {\n", + " \"name\": \"Transitory Shocks to Income\",\n", + " \"limit\": {\"type\": \"Lognormal\", \"mean\": -0.5, \"variance\": 1.0},\n", + " },\n", + " ],\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The underlying object and metadata is stored in a `xarray.Dataset` object which can be accessed using the `.dataset` attribute.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:40.369943Z", + "iopub.status.busy": "2024-07-11T15:28:40.369702Z", + "iopub.status.idle": "2024-07-11T15:28:40.379462Z", + "shell.execute_reply": "2024-07-11T15:28:40.378988Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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<xarray.Dataset> Size: 640kB\n",
+                            "Dimensions:   (atom: 40000)\n",
+                            "Dimensions without coordinates: atom\n",
+                            "Data variables:\n",
+                            "    perm_shk  (atom) float64 320kB 0.03491 0.03491 0.03491 ... 11.51 11.51 11.51\n",
+                            "    tran_shk  (atom) float64 320kB 0.03491 0.05308 0.0644 ... 5.724 6.966 11.51\n",
+                            "Attributes:\n",
+                            "    name:     Distribution of Shocks to Income
" + ], + "text/plain": [ + " Size: 640kB\n", + "Dimensions: (atom: 40000)\n", + "Dimensions without coordinates: atom\n", + "Data variables:\n", + " perm_shk (atom) float64 320kB 0.03491 0.03491 0.03491 ... 11.51 11.51 11.51\n", + " tran_shk (atom) float64 320kB 0.03491 0.05308 0.0644 ... 5.724 6.966 11.51\n", + "Attributes:\n", + " name: Distribution of Shocks to Income" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x_dist.dataset" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Using functions with labels to take expresive expectations.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Taking the expectation of a `DDL` object is straightforward using the own `expected()` method.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:40.380980Z", + "iopub.status.busy": "2024-07-11T15:28:40.380727Z", + "iopub.status.idle": "2024-07-11T15:28:40.384030Z", + "shell.execute_reply": "2024-07-11T15:28:40.383566Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([1., 1.])" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x_dist.expected()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As in the `DiscreteDistribution`, we can provide a function and arguments to the `expected()` method.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:40.385529Z", + "iopub.status.busy": "2024-07-11T15:28:40.385283Z", + "iopub.status.idle": "2024-07-11T15:28:40.387737Z", + "shell.execute_reply": "2024-07-11T15:28:40.387244Z" + } + }, + "outputs": [], + "source": [ + "aGrid = np.linspace(0, 20, 100)\n", + "R = 1.03" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The main difference is that the `expected()` method of `DDL` objects can take a function that uses the labels of the `xarray.DataArray` object. This allows for clearer and more expresive mathematical functions and transition equations. Surprisingly, using a function with labels does not add much overhead to the function evaluation.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:40.389284Z", + "iopub.status.busy": "2024-07-11T15:28:40.388887Z", + "iopub.status.idle": "2024-07-11T15:28:50.798166Z", + "shell.execute_reply": "2024-07-11T15:28:50.797376Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "12.9 ms ± 268 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "x_dist.expected(\n", + " lambda dist, a, R: R * a / dist[\"perm_shk\"] + dist[\"tran_shk\"],\n", + " aGrid,\n", + " R,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Compared to the old method of `calc_expectation` which takes a `DiscreteDistribution` object as input, the new method which takes a `DiscreteDistributionLabeled` object is significantly faster." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:50.801014Z", + "iopub.status.busy": "2024-07-11T15:28:50.800415Z", + "iopub.status.idle": "2024-07-11T15:29:04.469314Z", + "shell.execute_reply": "2024-07-11T15:29:04.468693Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "169 ms ± 1.57 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "calc_expectation(IncShkDstn, lambda dist, a, R: R * a / dist[0] + dist[1], aGrid, R)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can also use `HARK.distributions.expected`.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:29:04.471912Z", + "iopub.status.busy": "2024-07-11T15:29:04.471287Z", + "iopub.status.idle": "2024-07-11T15:29:04.474795Z", + "shell.execute_reply": "2024-07-11T15:29:04.474058Z" + } + }, + "outputs": [], + "source": [ + "from HARK.distributions import expected" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:29:04.477066Z", + "iopub.status.busy": "2024-07-11T15:29:04.476612Z", + "iopub.status.idle": "2024-07-11T15:29:04.497062Z", + "shell.execute_reply": "2024-07-11T15:29:04.496453Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 1. , 1.56267794, 2.12535588, 2.68803382, 3.25071176,\n", + " 3.8133897 , 4.37606764, 4.93874558, 5.50142352, 6.06410146,\n", + " 6.6267794 , 7.18945734, 7.75213528, 8.31481322, 8.87749116,\n", + " 9.4401691 , 10.00284704, 10.56552498, 11.12820292, 11.69088086,\n", + " 12.2535588 , 12.81623674, 13.37891468, 13.94159262, 14.50427056,\n", + " 15.0669485 , 15.62962644, 16.19230438, 16.75498232, 17.31766026,\n", + " 17.8803382 , 18.44301614, 19.00569408, 19.56837202, 20.13104997,\n", + " 20.69372791, 21.25640585, 21.81908379, 22.38176173, 22.94443967,\n", + " 23.50711761, 24.06979555, 24.63247349, 25.19515143, 25.75782937,\n", + " 26.32050731, 26.88318525, 27.44586319, 28.00854113, 28.57121907,\n", + " 29.13389701, 29.69657495, 30.25925289, 30.82193083, 31.38460877,\n", + " 31.94728671, 32.50996465, 33.07264259, 33.63532053, 34.19799847,\n", + " 34.76067641, 35.32335435, 35.88603229, 36.44871023, 37.01138817,\n", + " 37.57406611, 38.13674405, 38.69942199, 39.26209993, 39.82477787,\n", + " 40.38745581, 40.95013375, 41.51281169, 42.07548963, 42.63816757,\n", + " 43.20084551, 43.76352345, 44.32620139, 44.88887933, 45.45155727,\n", + " 46.01423521, 46.57691315, 47.13959109, 47.70226903, 48.26494697,\n", + " 48.82762491, 49.39030285, 49.95298079, 50.51565873, 51.07833667,\n", + " 51.64101461, 52.20369255, 52.76637049, 53.32904843, 53.89172637,\n", + " 54.45440431, 55.01708225, 55.57976019, 56.14243813, 56.70511607])" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "expected(\n", + " func=lambda dist, a, R: R * a / dist[\"perm_shk\"] + dist[\"tran_shk\"],\n", + " dist=x_dist,\n", + " args=(aGrid, R),\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Additionally, we can use xarrays as inputs via keyword arguments." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:29:04.499560Z", + "iopub.status.busy": "2024-07-11T15:29:04.499106Z", + "iopub.status.idle": "2024-07-11T15:29:04.502529Z", + "shell.execute_reply": "2024-07-11T15:29:04.501988Z" + } + }, + "outputs": [], + "source": [ + "from xarray import DataArray\n", + "\n", + "aNrm = DataArray(aGrid, name=\"aNrm\", dims=(\"aNrm\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:29:04.504656Z", + "iopub.status.busy": "2024-07-11T15:29:04.504464Z", + "iopub.status.idle": "2024-07-11T15:29:04.510221Z", + "shell.execute_reply": "2024-07-11T15:29:04.509618Z" + } + }, + "outputs": [], + "source": [ + "def mNrm_next(dist, R, a=None):\n", + " variables = {}\n", + " variables[\"mNrm_next\"] = R * a / dist[\"perm_shk\"] + dist[\"tran_shk\"]\n", + " return variables" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:29:04.512037Z", + "iopub.status.busy": "2024-07-11T15:29:04.511882Z", + "iopub.status.idle": "2024-07-11T15:29:17.731513Z", + "shell.execute_reply": "2024-07-11T15:29:17.730953Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "16.3 ms ± 142 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "expected(\n", + " func=mNrm_next,\n", + " dist=x_dist,\n", + " args=R,\n", + " a=aNrm,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Taking the expectation with xarray inputs and labeled equations is still significantly faster than the old method." + ] + } + ], + "metadata": { + "jupytext": { + "formats": "ipynb,py:percent" + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + }, + "vscode": { + "interpreter": { + "hash": "ab336f3885e19cdf99951e4b73ee65835b5095c97279903ad09e0692d3a202c7" + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 } diff --git a/examples/Distributions/EquiprobableLognormal.ipynb b/examples/Distributions/EquiprobableLognormal.ipynb index 8cf8e9b12..a16529e11 100644 --- a/examples/Distributions/EquiprobableLognormal.ipynb +++ b/examples/Distributions/EquiprobableLognormal.ipynb @@ -1,699 +1,699 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Equiprobable Discretization of Multivariate Lognormals\n", - "\n", - "This notebook describes two ways of discretizing a multivariate lognormal distribution. Suppose $X = (X_1,\\,...,\\,X_n)$ are jointly lognormally distributed, with parameters $\\log(X) \\sim \\mathcal{N}(\\mu,\\,\\Sigma)$. We want to produce a discretized version of this distribution with atoms indexed by $[i_1,\\,...,\\,i_n]$ such that an approximation to the integrals of any function $\\theta$ of $X$ can be given as:\n", - "$$\n", - "\\begin{align*}\n", - "\\mathbb{E}[\\theta] &= \\int_{\\infty}^{\\infty}\\cdots\\int_{\\infty}^{\\infty}\\theta(x)f_{X}(x)dx_1\\cdots dx_n\\\\\n", - "&\\approx \\sum_{i_1}\\cdots\\sum_{i_n}\\theta(X[i_1,\\,...,\\,i_n])w[i_1,\\,...,\\,i_n]\\\\\n", - "&= \\frac{1}{m^{n}}\\sum_{i_1=1}^{m}\\cdots\\sum_{i_n=1}^{m}\\theta(X[i_1,\\,...,\\,i_n])\n", - "\\end{align*}\n", - "$$\n", - "To do so, we first begin with a standard $n$-variate normal given by $Z \\sim \\mathcal{N}(0,\\,I_{n})$. Fix an integer $m$, and divide the real-line into $m$ equiprobable intervals by the standard univariate normal distribution. Let the collection of these intervals be denoted by $\\mathcal{Z}$. Then $\\mathcal{Z}^n$ is an equiprobable grid in $\\mathbb{R}^n$ by the standard $n$-variate normal distribution.\n", - "\n", - "We now want to construct a random vector $Y = (Y_1,\\,...,\\,Y_n)$ such that $Y \\sim \\mathcal{N}(\\mu,\\,\\Sigma)$. There are two approaches to doing so.\n", - "\n", - "## Eigendecomposition\n", - "\n", - "Note that $\\Sigma$ is a covariance matrix, and thus real-symmetric and positive semi-definite. We can decompose it into\n", - "$$\n", - "\\Sigma = Q\\Lambda Q^T\n", - "$$\n", - "\n", - "### Approach 1\n", - "\n", - "Construct a matrix $\\tilde{\\Sigma}$ such that\n", - "$$\n", - "\\tilde{\\Sigma} = Q(\\Lambda)^{1/2}\n", - "$$\n", - "By construction, $\\tilde{\\Sigma}\\tilde{\\Sigma}^T = \\Sigma$. Let $Y = \\mu + \\tilde{\\Sigma}Z$. By the linear transformation theorem for multivariate normals, $Y \\sim \\mathcal{N}(\\mu,\\,\\tilde{\\Sigma}\\tilde{\\Sigma}^T) = \\mathcal{N}(\\mu,\\,\\Sigma)$.\n", - "\n", - "### Approach 2\n", - "\n", - "We can also use the positive-definite square root of $\\Sigma$, $(\\Sigma)^{1/2} = Q(\\Lambda)^{1/2}Q^T = \\tilde{\\Sigma}Q^T$. While all the above arguments apply, the initial rotation by $Q^T$ makes for a better approximation of the true CDF.\n", - "\n", - "## Cholesky Decomposition (recommended)\n", - "\n", - "An alternative way of constructing $Y$ is to use the Cholesky decomposition instead. Note that $\\Sigma$ is real and positive semi-definite, which implies that such a decomposition exists, with $\\Sigma = LL^T$. Then, let $Y = \\mu + LZ$. By the earlier argument, $Y \\sim \\mathcal{N}(\\mu,\\,\\Sigma)$.\n", - "\n", - "This construction can also be implemented using a simple recursive formula. Each $Y_{i}$ is written as\n", - "$$\n", - "\\begin{align*}\n", - "Y_{i} = \\sum_{j = 1}^{n}\\text{Cov}(Y_{i},\\,Z_{j})Z_{j}\n", - "\\end{align*}\n", - "$$\n", - "For $j > i$, $\\text{Cov}(Y_{i},\\,Z_{j}) = 0$. For $j < i$\n", - "$$\n", - "\\text{Cov}(Y_{i},\\,Z_{j}) = \\frac{\\sigma_{ij} - \\sum_{k < j}\\text{Cov}(Y_{i},\\,Z_{k})\\text{Cov}(Y_{j},\\,Z_{k})}{\\text{Cov}(Y_{j},\\,Z_{j})}\n", - "$$\n", - "For $j = i$\n", - "$$\n", - "\\text{Cov}(Y_{i},\\,Z_{i}) = \\sqrt{\\sigma_{i}^2 - \\sum_{j=1}^{i}\\text{Cov}(Y_{i},\\,Z_{j})}\n", - "$$\n", - "with the base case for all of the above given by $\\text{Cov}(Y_1,\\,Z_1) = \\sigma_1$.\n", - "\n", - "## Computing the atoms \n", - "\n", - "Now that we have a multivariate normal distribution, we wish to compute the conditional expectation of the lognormal variables $X_i = \\exp(Y_i)$ in each of the equiprobable regions of $\\mathbb{R}^n$. Note, firstly, that we can compute the expectation of each lognormal variable separately in each of the regions. Further, as the regions are rectangular, we can use the following simplification:\n", - "$$\n", - "\\begin{align*}\n", - "\\mathbb{E}[X_i | Z \\in [\\underline{z}_1,\\,\\overline{z}_1] \\times \\cdots \\times [\\underline{z}_n,\\,\\overline{z}_n]] &= m^{n}\\int_{\\underline{z}_n}^{\\overline{z}_{n}}\\cdots\\int_{\\underline{z}_1}^{\\overline{z}_1}\\exp(Y_i)f_{Z}(z)dz_1\\cdots dz_n\\\\\n", - "&= m^{n}\\exp(\\mu_i)\\int_{\\underline{z}_n}^{\\overline{z}_{n}}\\cdots\\int_{\\underline{z}_1}^{\\overline{z}_1}\\exp\\left(\\sum_{j=1}^{n}\\text{Cov}(Y_{i},\\,Z_{j})z_{j}\\right)f_{Z}(z)dz_1\\cdots dz_n\\\\\n", - "&= m^{n}\\exp(\\mu_i)\\prod_{j=1}^{n}\\int_{\\underline{z}_{j}}^{\\overline{z}_{j}}\\exp\\left(\\text{Cov}(Y_i,\\,Z_j)z_j\\right)\\varphi(z_j)dz_j\n", - "\\end{align*}\n", - "$$\n", - "The key is to compute each of these integrals efficiently.\n", - "\n", - "### Change of variables\n", - "\n", - "The definite integral of a lognormal variable $X$ such that $\\log(X) \\sim \\mathcal{N}(0,\\,\\sigma)$ over the interval $(\\underline{x},\\,\\overline{x})$ can be computed using\n", - "$$\n", - "\\begin{align*}\n", - "\\int_{\\underline{x}}^{\\overline{x}}xf_{X}(x)dx = \\frac{1}{2} \\cdot \\exp\\left(\\frac{\\sigma^2}{2}\\right) \\cdot \\left[\\text{erf}\\left(\\frac{\\sigma^2 - \\log(\\overline{x})}{\\sigma\\sqrt{2}}\\right) - \\text{erf}\\left(\\frac{\\sigma^2 - \\log(\\underline{x})}{\\sigma\\sqrt{2}}\\right)\\right]\n", - "\\end{align*}\n", - "$$\n", - "We apply this formula to each of the integrals above. Define $\\tilde{X}_{ij} = \\exp\\left(\\text{Cov}(Y_i,\\,Z_j)Z_j\\right)$. Then\n", - "$$\n", - "\\int_{\\underline{z}_{j}}^{\\overline{z}_{j}}\\exp\\left(\\text{Cov}(Y_i,\\,Z_j)z_j\\right)\\varphi(z_j)dz_j = \\int_{\\underline{\\tilde{x}}_{ij}}^{\\overline{\\tilde{x}}_{ij}}\\tilde{x}_{ij}f_{\\tilde{X}_{ij}}(\\tilde{x}_{ij})d\\tilde{x}_{ij}\n", - "$$\n", - "where $\\underline{\\tilde{x}}_{ij} = \\exp(\\text{Cov}(Y_i,\\,Z_j)\\underline{z}_j)$ and $\\overline{\\tilde{x}}_{ij} = \\exp(\\text{Cov}(Y_i,\\,Z_j)\\overline{z}_j)$. The integral on the right can then be computed using the formula above.\n", - "\n", - "### Advantage of Cholesky Decomposition\n", - "\n", - "There are a couple of reasons to prefer the Cholesky decomposition over the Eigendecomposition method. The first is that it reduces the number of computations required vis-a-vis the integrals that the number of unique integrals that need to be evaluated. Since $L$ is lower triangular, $Y_i$ is a function of $(Z_1,\\,...,\\,Z_i)$ but does not depend on $(Z_{i+1},\\,...,\\,Z_{n})$. As such, the conditional expectation problem can be reduced to:\n", - "$$\n", - "\\begin{align*}\n", - "m^{n}\\exp(\\mu_i)\\prod_{j=1}^{n}\\int_{\\underline{z}_{j}}^{\\overline{z}_{j}}\\exp\\left(\\text{Cov}(Y_i,\\,Z_j)z_j\\right)\\varphi(z_j)dz_j &= m^{i}\\exp(\\mu_i)\\prod_{j\\leq i}\\int_{\\underline{z}_{j}}^{\\overline{z}_{j}}\\exp\\left(\\ell_{ij}z_j\\right)\\varphi(z_j)dz_j\\\\\n", - "&= m^{i}\\exp(\\mu_i)\\prod_{j\\leq i}\\int_{\\underline{\\tilde{x}}_{ij}}^{\\overline{\\tilde{x}}_{ij}}\\tilde{x}_{ij}f_{\\tilde{X}_{ij}}(\\tilde{x}_{ij})d\\tilde{x}_{ij}\n", - "\\end{align*}\n", - "$$\n", - "The first implication is that calculating each conditional expectation requires the product of only $i$ integrals as opposed to $n$. Further, the conditional expectation of $Y_{i}$ depends only on the first $i$ standard normal variables, which means that only $m^{i}$ conditional expectations need to be calcualted, as opposed to $m^{n}$. While vectorization neutralizes the benefit on the first count, the computation of $m^{i}$ expectations which are copied over $m^{n-i}$ times as opposed to computing $m^{n}$ expectations really speeds up the process.\n", - "\n", - "Lastly, the approximation produced using the Cholesky decomposition also fits the true CDF than the one produced using the eigendecomposition, as seen in figures below.\n", - "\n", - "The rest of this notebook demonstrates the discretization output and the results obtained through its use." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import HARK\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "from matplotlib import cm\n", - "from scipy import integrate" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, we test a trivariate lognormal distribution. Each variable is mean-one and correlated with the others." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "Σ = np.array([[3.0, 1.0, 2.0], [1.0, 2.0, 1.0], [2.0, 1.0, 4.0]])\n", - "μ = -np.diag(Σ) / 2 # Create mean-one lognormal\n", - "\n", - "X = HARK.distribution.MVLogNormal(mu=μ, Sigma=Σ)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Use direct integral solution to test the expected value." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1.0000000002309708\n", - "1.0000000000008682\n", - "0.9999999999848911\n", - "CPU times: total: 828 ms\n", - "Wall time: 3.34 s\n" - ] - } - ], - "source": [ - "%%time\n", - "f1 = lambda x: X._marginal(x, 1)\n", - "f2 = lambda x: X._marginal(x, 2)\n", - "f3 = lambda x: X._marginal(x, 3)\n", - "\n", - "μ_1 = integrate.quad(lambda x: x * f1(x), 0, np.inf)[0]\n", - "μ_2 = integrate.quad(lambda x: x * f2(x), 0, np.inf)[0]\n", - "μ_3 = integrate.quad(lambda x: x * f3(x), 0, np.inf)[0]\n", - "\n", - "print(μ_1)\n", - "print(μ_2)\n", - "print(μ_3)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We now use the multivariate discretization tool to provide an approximation of the expected value. Note the improved time performance." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: total: 0 ns\n", - "Wall time: 106 ms\n" - ] + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Equiprobable Discretization of Multivariate Lognormals\n", + "\n", + "This notebook describes two ways of discretizing a multivariate lognormal distribution. Suppose $X = (X_1,\\,...,\\,X_n)$ are jointly lognormally distributed, with parameters $\\log(X) \\sim \\mathcal{N}(\\mu,\\,\\Sigma)$. We want to produce a discretized version of this distribution with atoms indexed by $[i_1,\\,...,\\,i_n]$ such that an approximation to the integrals of any function $\\theta$ of $X$ can be given as:\n", + "$$\n", + "\\begin{align*}\n", + "\\mathbb{E}[\\theta] &= \\int_{\\infty}^{\\infty}\\cdots\\int_{\\infty}^{\\infty}\\theta(x)f_{X}(x)dx_1\\cdots dx_n\\\\\n", + "&\\approx \\sum_{i_1}\\cdots\\sum_{i_n}\\theta(X[i_1,\\,...,\\,i_n])w[i_1,\\,...,\\,i_n]\\\\\n", + "&= \\frac{1}{m^{n}}\\sum_{i_1=1}^{m}\\cdots\\sum_{i_n=1}^{m}\\theta(X[i_1,\\,...,\\,i_n])\n", + "\\end{align*}\n", + "$$\n", + "To do so, we first begin with a standard $n$-variate normal given by $Z \\sim \\mathcal{N}(0,\\,I_{n})$. Fix an integer $m$, and divide the real-line into $m$ equiprobable intervals by the standard univariate normal distribution. Let the collection of these intervals be denoted by $\\mathcal{Z}$. Then $\\mathcal{Z}^n$ is an equiprobable grid in $\\mathbb{R}^n$ by the standard $n$-variate normal distribution.\n", + "\n", + "We now want to construct a random vector $Y = (Y_1,\\,...,\\,Y_n)$ such that $Y \\sim \\mathcal{N}(\\mu,\\,\\Sigma)$. There are two approaches to doing so.\n", + "\n", + "## Eigendecomposition\n", + "\n", + "Note that $\\Sigma$ is a covariance matrix, and thus real-symmetric and positive semi-definite. We can decompose it into\n", + "$$\n", + "\\Sigma = Q\\Lambda Q^T\n", + "$$\n", + "\n", + "### Approach 1\n", + "\n", + "Construct a matrix $\\tilde{\\Sigma}$ such that\n", + "$$\n", + "\\tilde{\\Sigma} = Q(\\Lambda)^{1/2}\n", + "$$\n", + "By construction, $\\tilde{\\Sigma}\\tilde{\\Sigma}^T = \\Sigma$. Let $Y = \\mu + \\tilde{\\Sigma}Z$. By the linear transformation theorem for multivariate normals, $Y \\sim \\mathcal{N}(\\mu,\\,\\tilde{\\Sigma}\\tilde{\\Sigma}^T) = \\mathcal{N}(\\mu,\\,\\Sigma)$.\n", + "\n", + "### Approach 2\n", + "\n", + "We can also use the positive-definite square root of $\\Sigma$, $(\\Sigma)^{1/2} = Q(\\Lambda)^{1/2}Q^T = \\tilde{\\Sigma}Q^T$. While all the above arguments apply, the initial rotation by $Q^T$ makes for a better approximation of the true CDF.\n", + "\n", + "## Cholesky Decomposition (recommended)\n", + "\n", + "An alternative way of constructing $Y$ is to use the Cholesky decomposition instead. Note that $\\Sigma$ is real and positive semi-definite, which implies that such a decomposition exists, with $\\Sigma = LL^T$. Then, let $Y = \\mu + LZ$. By the earlier argument, $Y \\sim \\mathcal{N}(\\mu,\\,\\Sigma)$.\n", + "\n", + "This construction can also be implemented using a simple recursive formula. Each $Y_{i}$ is written as\n", + "$$\n", + "\\begin{align*}\n", + "Y_{i} = \\sum_{j = 1}^{n}\\text{Cov}(Y_{i},\\,Z_{j})Z_{j}\n", + "\\end{align*}\n", + "$$\n", + "For $j > i$, $\\text{Cov}(Y_{i},\\,Z_{j}) = 0$. For $j < i$\n", + "$$\n", + "\\text{Cov}(Y_{i},\\,Z_{j}) = \\frac{\\sigma_{ij} - \\sum_{k < j}\\text{Cov}(Y_{i},\\,Z_{k})\\text{Cov}(Y_{j},\\,Z_{k})}{\\text{Cov}(Y_{j},\\,Z_{j})}\n", + "$$\n", + "For $j = i$\n", + "$$\n", + "\\text{Cov}(Y_{i},\\,Z_{i}) = \\sqrt{\\sigma_{i}^2 - \\sum_{j=1}^{i}\\text{Cov}(Y_{i},\\,Z_{j})}\n", + "$$\n", + "with the base case for all of the above given by $\\text{Cov}(Y_1,\\,Z_1) = \\sigma_1$.\n", + "\n", + "## Computing the atoms \n", + "\n", + "Now that we have a multivariate normal distribution, we wish to compute the conditional expectation of the lognormal variables $X_i = \\exp(Y_i)$ in each of the equiprobable regions of $\\mathbb{R}^n$. Note, firstly, that we can compute the expectation of each lognormal variable separately in each of the regions. Further, as the regions are rectangular, we can use the following simplification:\n", + "$$\n", + "\\begin{align*}\n", + "\\mathbb{E}[X_i | Z \\in [\\underline{z}_1,\\,\\overline{z}_1] \\times \\cdots \\times [\\underline{z}_n,\\,\\overline{z}_n]] &= m^{n}\\int_{\\underline{z}_n}^{\\overline{z}_{n}}\\cdots\\int_{\\underline{z}_1}^{\\overline{z}_1}\\exp(Y_i)f_{Z}(z)dz_1\\cdots dz_n\\\\\n", + "&= m^{n}\\exp(\\mu_i)\\int_{\\underline{z}_n}^{\\overline{z}_{n}}\\cdots\\int_{\\underline{z}_1}^{\\overline{z}_1}\\exp\\left(\\sum_{j=1}^{n}\\text{Cov}(Y_{i},\\,Z_{j})z_{j}\\right)f_{Z}(z)dz_1\\cdots dz_n\\\\\n", + "&= m^{n}\\exp(\\mu_i)\\prod_{j=1}^{n}\\int_{\\underline{z}_{j}}^{\\overline{z}_{j}}\\exp\\left(\\text{Cov}(Y_i,\\,Z_j)z_j\\right)\\varphi(z_j)dz_j\n", + "\\end{align*}\n", + "$$\n", + "The key is to compute each of these integrals efficiently.\n", + "\n", + "### Change of variables\n", + "\n", + "The definite integral of a lognormal variable $X$ such that $\\log(X) \\sim \\mathcal{N}(0,\\,\\sigma)$ over the interval $(\\underline{x},\\,\\overline{x})$ can be computed using\n", + "$$\n", + "\\begin{align*}\n", + "\\int_{\\underline{x}}^{\\overline{x}}xf_{X}(x)dx = \\frac{1}{2} \\cdot \\exp\\left(\\frac{\\sigma^2}{2}\\right) \\cdot \\left[\\text{erf}\\left(\\frac{\\sigma^2 - \\log(\\overline{x})}{\\sigma\\sqrt{2}}\\right) - \\text{erf}\\left(\\frac{\\sigma^2 - \\log(\\underline{x})}{\\sigma\\sqrt{2}}\\right)\\right]\n", + "\\end{align*}\n", + "$$\n", + "We apply this formula to each of the integrals above. Define $\\tilde{X}_{ij} = \\exp\\left(\\text{Cov}(Y_i,\\,Z_j)Z_j\\right)$. Then\n", + "$$\n", + "\\int_{\\underline{z}_{j}}^{\\overline{z}_{j}}\\exp\\left(\\text{Cov}(Y_i,\\,Z_j)z_j\\right)\\varphi(z_j)dz_j = \\int_{\\underline{\\tilde{x}}_{ij}}^{\\overline{\\tilde{x}}_{ij}}\\tilde{x}_{ij}f_{\\tilde{X}_{ij}}(\\tilde{x}_{ij})d\\tilde{x}_{ij}\n", + "$$\n", + "where $\\underline{\\tilde{x}}_{ij} = \\exp(\\text{Cov}(Y_i,\\,Z_j)\\underline{z}_j)$ and $\\overline{\\tilde{x}}_{ij} = \\exp(\\text{Cov}(Y_i,\\,Z_j)\\overline{z}_j)$. The integral on the right can then be computed using the formula above.\n", + "\n", + "### Advantage of Cholesky Decomposition\n", + "\n", + "There are a couple of reasons to prefer the Cholesky decomposition over the Eigendecomposition method. The first is that it reduces the number of computations required vis-a-vis the integrals that the number of unique integrals that need to be evaluated. Since $L$ is lower triangular, $Y_i$ is a function of $(Z_1,\\,...,\\,Z_i)$ but does not depend on $(Z_{i+1},\\,...,\\,Z_{n})$. As such, the conditional expectation problem can be reduced to:\n", + "$$\n", + "\\begin{align*}\n", + "m^{n}\\exp(\\mu_i)\\prod_{j=1}^{n}\\int_{\\underline{z}_{j}}^{\\overline{z}_{j}}\\exp\\left(\\text{Cov}(Y_i,\\,Z_j)z_j\\right)\\varphi(z_j)dz_j &= m^{i}\\exp(\\mu_i)\\prod_{j\\leq i}\\int_{\\underline{z}_{j}}^{\\overline{z}_{j}}\\exp\\left(\\ell_{ij}z_j\\right)\\varphi(z_j)dz_j\\\\\n", + "&= m^{i}\\exp(\\mu_i)\\prod_{j\\leq i}\\int_{\\underline{\\tilde{x}}_{ij}}^{\\overline{\\tilde{x}}_{ij}}\\tilde{x}_{ij}f_{\\tilde{X}_{ij}}(\\tilde{x}_{ij})d\\tilde{x}_{ij}\n", + "\\end{align*}\n", + "$$\n", + "The first implication is that calculating each conditional expectation requires the product of only $i$ integrals as opposed to $n$. Further, the conditional expectation of $Y_{i}$ depends only on the first $i$ standard normal variables, which means that only $m^{i}$ conditional expectations need to be calcualted, as opposed to $m^{n}$. While vectorization neutralizes the benefit on the first count, the computation of $m^{i}$ expectations which are copied over $m^{n-i}$ times as opposed to computing $m^{n}$ expectations really speeds up the process.\n", + "\n", + "Lastly, the approximation produced using the Cholesky decomposition also fits the true CDF than the one produced using the eigendecomposition, as seen in figures below.\n", + "\n", + "The rest of this notebook demonstrates the discretization output and the results obtained through its use." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import HARK\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib import cm\n", + "from scipy import integrate" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First, we test a trivariate lognormal distribution. Each variable is mean-one and correlated with the others." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "Σ = np.array([[3.0, 1.0, 2.0], [1.0, 2.0, 1.0], [2.0, 1.0, 4.0]])\n", + "μ = -np.diag(Σ) / 2 # Create mean-one lognormal\n", + "\n", + "X = HARK.distributions.MVLogNormal(mu=μ, Sigma=Σ)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Use direct integral solution to test the expected value." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.0000000002309708\n", + "1.0000000000008682\n", + "0.9999999999848911\n", + "CPU times: total: 828 ms\n", + "Wall time: 3.34 s\n" + ] + } + ], + "source": [ + "%%time\n", + "f1 = lambda x: X._marginal(x, 1)\n", + "f2 = lambda x: X._marginal(x, 2)\n", + "f3 = lambda x: X._marginal(x, 3)\n", + "\n", + "μ_1 = integrate.quad(lambda x: x * f1(x), 0, np.inf)[0]\n", + "μ_2 = integrate.quad(lambda x: x * f2(x), 0, np.inf)[0]\n", + "μ_3 = integrate.quad(lambda x: x * f3(x), 0, np.inf)[0]\n", + "\n", + "print(μ_1)\n", + "print(μ_2)\n", + "print(μ_3)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We now use the multivariate discretization tool to provide an approximation of the expected value. Note the improved time performance." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: total: 0 ns\n", + "Wall time: 106 ms\n" + ] + }, + { + "data": { + "text/plain": [ + "array([1., 1., 1.])" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%time\n", + "N = 10\n", + "\n", + "X_approx = X._approx_equiprobable(N)\n", + "\n", + "X_approx.expected()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can look at the atoms of the discretized distribution. Note, there are 1000 $(10^3)$ of them, owing to the dimension of the distribution." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", + "ax = plt.axes(projection=\"3d\")\n", + "\n", + "ax.scatter(\n", + " np.log(X_approx.atoms[0].flatten()),\n", + " np.log(X_approx.atoms[1].flatten()),\n", + " np.log(X_approx.atoms[2].flatten()),\n", + " color=\"red\",\n", + ")\n", + "\n", + "ax.set_xlabel(\"$x_1$\")\n", + "ax.set_ylabel(\"$x_2$\")\n", + "ax.set_zlabel(\"$x_3$\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We now try discretizing the distribution with the same decomposition method but a truncation at finite endpoints. In this example, the underlying standard Normal distribution is truncated to $[-3,\\,3]$, such that the marginal CDFs of each of the random variables in the correlated distribution range from 0.0015 to 0.9985 in the range specified." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: total: 31.2 ms\n", + "Wall time: 185 ms\n" + ] + }, + { + "data": { + "text/plain": [ + "array([0.89439444, 0.95068046, 0.88488625])" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%time\n", + "N = 10\n", + "\n", + "X_approx2 = X._approx_equiprobable(N, tail_bound=0.0015, endpoints=True)\n", + "\n", + "X_approx2.expected()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", + "ax = plt.axes(projection=\"3d\")\n", + "\n", + "ax.scatter(\n", + " np.log(X_approx2.atoms[0].flatten()),\n", + " np.log(X_approx2.atoms[1].flatten()),\n", + " np.log(X_approx2.atoms[2].flatten()),\n", + " color=\"red\",\n", + ")\n", + "\n", + "ax.set_xlabel(\"$x_1$\")\n", + "ax.set_ylabel(\"$x_2$\")\n", + "ax.set_zlabel(\"$x_3$\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We now attempt an approximation of the same distribution using the eigendecomposition method instead. Note that the atoms are similarly distributed, though they have been rotated to reflect the alternate construction. Another factor is that this approach is noticeably slower than the Cholesky decomposition due to the additional computations." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: total: 46.9 ms\n", + "Wall time: 277 ms\n" + ] + }, + { + "data": { + "text/plain": [ + "array([1., 1., 1.])" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%time\n", + "N = 10\n", + "\n", + "X_approx3 = X._approx_equiprobable(N, decomp=\"eig\")\n", + "\n", + "X_approx3.expected()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", + "ax = plt.axes(projection=\"3d\")\n", + "\n", + "ax.scatter(\n", + " np.log(X_approx3.atoms[0].flatten()),\n", + " np.log(X_approx3.atoms[1].flatten()),\n", + " np.log(X_approx3.atoms[2].flatten()),\n", + " color=\"red\",\n", + ")\n", + "\n", + "ax.set_xlabel(\"$x_1$\")\n", + "ax.set_ylabel(\"$x_2$\")\n", + "ax.set_zlabel(\"$x_3$\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we test a bivariate distribution. One purpose of this test is to examine the approximate CDF values of the discretized distribution. The other is to compare the output from both constructions with the analytical CDF." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "Σ = np.array([[3.0, 1.0], [1.0, 2.0]])\n", + "μ = -np.diag(Σ) / 2 # Create mean-one lognormal\n", + "\n", + "X = HARK.distributions.MVLogNormal(mu=μ, Sigma=Σ)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([1., 1.])" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "N = 10\n", + "\n", + "X_approx = X._approx_equiprobable(N)\n", + "X_approx.expected()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note that the plots of the two discretizations closely match the true CDF, showing that the algorithm is working well." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "M = 150\n", + "\n", + "σ_1, σ_2 = np.sqrt(np.diag(Σ))\n", + "\n", + "x = np.linspace(-3 * σ_1, 3 * σ_1, M)\n", + "y = np.linspace(-3 * σ_2, 3 * σ_2, M)\n", + "\n", + "x, y = np.meshgrid(x, y)\n", + "xf = x.flatten()\n", + "yf = y.flatten()\n", + "xy = np.stack([xf, yf], axis=1)\n", + "exy = np.exp(μ + xy)\n", + "\n", + "z = X._cdf(exy).reshape(M, M)\n", + "\n", + "cdf_approx = np.array(\n", + " [\n", + " [np.sum(X_approx.pmv.reshape(N, N)[0:j, 0:i]) for i in range(1, N + 1)]\n", + " for j in range(1, N + 1)\n", + " ]\n", + ")\n", + "\n", + "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", + "ax = plt.axes(projection=\"3d\")\n", + "\n", + "ax.scatter(\n", + " np.log(X_approx.atoms[0].flatten()),\n", + " np.log(X_approx.atoms[1].flatten()),\n", + " cdf_approx.flatten(),\n", + " color=\"red\",\n", + ")\n", + "ax.plot_surface(μ[0] + x, μ[1] + y, z, alpha=0.6, cmap=cm.ocean)\n", + "\n", + "ax.set_xlabel(\"$x_1$\")\n", + "ax.set_ylabel(\"$x_2$\")\n", + "ax.set_zlabel(\"CDF\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Looking at the approximation using the sqaure root or eigendecomposition, note that the result is a different (although not much worse) estimation of the true CDF, despite the expectation of the discrete approximation remaining unchanged." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([1., 1.])" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "N = 10\n", + "\n", + "X_approx2 = X._approx_equiprobable(N, decomp=\"sqrt\")\n", + "X_approx2.expected()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "M = 150\n", + "\n", + "σ_1, σ_2 = np.sqrt(np.diag(Σ))\n", + "\n", + "x = np.linspace(-3 * σ_1, 3 * σ_1, M)\n", + "y = np.linspace(-3 * σ_2, 3 * σ_2, M)\n", + "\n", + "x, y = np.meshgrid(x, y)\n", + "xf = x.flatten()\n", + "yf = y.flatten()\n", + "xy = np.stack([xf, yf], axis=1)\n", + "exy = np.exp(μ + xy)\n", + "\n", + "z = X._cdf(exy).reshape(M, M)\n", + "\n", + "cdf_approx = np.zeros(N**2)\n", + "\n", + "for i in range(N**2):\n", + " atom = X_approx2.atoms[:, i]\n", + " for j in range(N**2):\n", + " if np.all(X_approx2.atoms[:, i] > X_approx2.atoms[:, j]):\n", + " cdf_approx[i] += X_approx2.pmv[j]\n", + "\n", + "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", + "ax = plt.axes(projection=\"3d\")\n", + "\n", + "ax.scatter(\n", + " np.log(X_approx2.atoms[0].flatten()),\n", + " np.log(X_approx2.atoms[1].flatten()),\n", + " cdf_approx.flatten(),\n", + " color=\"red\",\n", + ")\n", + "ax.plot_surface(μ[0] + x, μ[1] + y, z, alpha=0.6, cmap=cm.ocean)\n", + "\n", + "ax.set_xlabel(\"$x_1$\")\n", + "ax.set_ylabel(\"$x_2$\")\n", + "ax.set_zlabel(\"CDF\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, we can add see how the CDF is approximated with the tail points functionality enabled. As it happens, the curvature at the tails is approximated better in this manner." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0.89439444, 0.95068046])" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "N = 10\n", + "\n", + "X_approx3 = X._approx_equiprobable(N, tail_bound=0.0015, endpoints=True)\n", + "X_approx3.expected()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "M = 150\n", + "\n", + "σ_1, σ_2 = np.sqrt(np.diag(Σ))\n", + "\n", + "x = np.linspace(-3 * σ_1, 3 * σ_1, M)\n", + "y = np.linspace(-3 * σ_2, 3 * σ_2, M)\n", + "\n", + "x, y = np.meshgrid(x, y)\n", + "xf = x.flatten()\n", + "yf = y.flatten()\n", + "xy = np.stack([xf, yf], axis=1)\n", + "exy = np.exp(μ + xy)\n", + "\n", + "z = X._cdf(exy).reshape(M, M)\n", + "\n", + "cdf_approx = np.array(\n", + " [\n", + " [np.sum(X_approx3.pmv.reshape(12, 12)[0:j, 0:i]) for i in range(1, N + 3)]\n", + " for j in range(1, N + 3)\n", + " ]\n", + ")\n", + "\n", + "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", + "ax = plt.axes(projection=\"3d\")\n", + "\n", + "ax.scatter(\n", + " np.log(X_approx3.atoms[0].flatten()),\n", + " np.log(X_approx3.atoms[1].flatten()),\n", + " cdf_approx.flatten(),\n", + " color=\"red\",\n", + ")\n", + "ax.plot_surface(μ[0] + x, μ[1] + y, z, alpha=0.6, cmap=cm.ocean)\n", + "\n", + "ax.set_xlabel(\"$x_1$\")\n", + "ax.set_ylabel(\"$x_2$\")\n", + "ax.set_zlabel(\"CDF\")\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } }, - { - "data": { - "text/plain": [ - "array([1., 1., 1.])" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time\n", - "N = 10\n", - "\n", - "X_approx = X._approx_equiprobable(N)\n", - "\n", - "X_approx.expected()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can look at the atoms of the discretized distribution. Note, there are 1000 $(10^3)$ of them, owing to the dimension of the distribution." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", - "ax = plt.axes(projection=\"3d\")\n", - "\n", - "ax.scatter(\n", - " np.log(X_approx.atoms[0].flatten()),\n", - " np.log(X_approx.atoms[1].flatten()),\n", - " np.log(X_approx.atoms[2].flatten()),\n", - " color=\"red\",\n", - ")\n", - "\n", - "ax.set_xlabel(\"$x_1$\")\n", - "ax.set_ylabel(\"$x_2$\")\n", - "ax.set_zlabel(\"$x_3$\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We now try discretizing the distribution with the same decomposition method but a truncation at finite endpoints. In this example, the underlying standard Normal distribution is truncated to $[-3,\\,3]$, such that the marginal CDFs of each of the random variables in the correlated distribution range from 0.0015 to 0.9985 in the range specified." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: total: 31.2 ms\n", - "Wall time: 185 ms\n" - ] - }, - { - "data": { - "text/plain": [ - "array([0.89439444, 0.95068046, 0.88488625])" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time\n", - "N = 10\n", - "\n", - "X_approx2 = X._approx_equiprobable(N, tail_bound=0.0015, endpoints=True)\n", - "\n", - "X_approx2.expected()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", - "ax = plt.axes(projection=\"3d\")\n", - "\n", - "ax.scatter(\n", - " np.log(X_approx2.atoms[0].flatten()),\n", - " np.log(X_approx2.atoms[1].flatten()),\n", - " np.log(X_approx2.atoms[2].flatten()),\n", - " color=\"red\",\n", - ")\n", - "\n", - "ax.set_xlabel(\"$x_1$\")\n", - "ax.set_ylabel(\"$x_2$\")\n", - "ax.set_zlabel(\"$x_3$\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We now attempt an approximation of the same distribution using the eigendecomposition method instead. Note that the atoms are similarly distributed, though they have been rotated to reflect the alternate construction. Another factor is that this approach is noticeably slower than the Cholesky decomposition due to the additional computations." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: total: 46.9 ms\n", - "Wall time: 277 ms\n" - ] - }, - { - "data": { - "text/plain": [ - "array([1., 1., 1.])" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time\n", - "N = 10\n", - "\n", - "X_approx3 = X._approx_equiprobable(N, decomp=\"eig\")\n", - "\n", - "X_approx3.expected()" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", - "ax = plt.axes(projection=\"3d\")\n", - "\n", - "ax.scatter(\n", - " np.log(X_approx3.atoms[0].flatten()),\n", - " np.log(X_approx3.atoms[1].flatten()),\n", - " np.log(X_approx3.atoms[2].flatten()),\n", - " color=\"red\",\n", - ")\n", - "\n", - "ax.set_xlabel(\"$x_1$\")\n", - "ax.set_ylabel(\"$x_2$\")\n", - "ax.set_zlabel(\"$x_3$\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now we test a bivariate distribution. One purpose of this test is to examine the approximate CDF values of the discretized distribution. The other is to compare the output from both constructions with the analytical CDF." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "Σ = np.array([[3.0, 1.0], [1.0, 2.0]])\n", - "μ = -np.diag(Σ) / 2 # Create mean-one lognormal\n", - "\n", - "X = HARK.distribution.MVLogNormal(mu=μ, Sigma=Σ)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([1., 1.])" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "N = 10\n", - "\n", - "X_approx = X._approx_equiprobable(N)\n", - "X_approx.expected()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Note that the plots of the two discretizations closely match the true CDF, showing that the algorithm is working well." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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AGRwcRDAYbMu+9DpuASO/r2oCprIGpp+uU4IgiGqQYCEIoiHumV8hRMNGea2KsGSzWSSTSQDA1NQUIpHIsdd5EunkgFZRFEeYAFbqoBQw6+vrWFhYQDAYLBMwfr+/Y/tXSbvNIY6K/M6qCRhd11EsFknAEARxYiDBQhBEXSoL65vp6t2KGpYXL17g4cOHGBsbw+TkJDkp9SiqqmJoaAhDQ0MAAMMwsL297RTwz83NIRKJlNXAkOPbQRoJGF3XAVS3USYBQxBEr0OChSCImrh7qxymY/1xIiymaWJ+fh4bGxv41Kc+hZGRkSOthyjHK5EETdNw+vRpnD59GgBQKpUcAbO8vIwHDx4gGo2W1cC0u16pFwf01QSM/FMsFknAEATRV5BgIQjiANV6qxxmkHPUGpa9vT0kk0n4fD5MTU0hFAodeh1Eb+Hz+TA8PIzh4WEAVjNQaaH8+PFjFAoFxGIxR7wkEomyQvXj4hUhd1zckU9VVQ8IGHcKmc/ncwTMYe9tgiCIbkCChSCIMmr1VjkMh42wCCGwtraGhYUFXLp0CRMTE5QC1kJ6aUDq9/tx5swZnDlzBoBlZZ1Op7G9vY2FhQXouo54PO5EYOLxeEsFTL9QT8AUCgVnGRIwBEH0AiRYCIJwkPnwR4mquFEUxRE8jSiVSpibm0M6ncbt27dx6tSpI22TqE+vRhKCwSDOnTuHc+fOOYNtGYF58eIFDMPAwMCAI2Bisdihxe5JGKA3K2Bk80oSMARBeAkSLARBOClg0gXsuIOUZlPCtre3kUwmEYlEMDU1hUAgcORtEv0PYwyhUAihUAijo6MQQiCXyzkC5vnz5+CcHxAw9a7lXhVyx6WWgOGcOwJGUZQDNTAkYAiC6AYkWAjihNOKFLBKGqWECSGwsrKCpaUlXL16FZcuXaJBUBvp13PLGEMkEkEkEsH58+chhEA2m3UEzLNnzwCgzIEsEon07fk4DrUEjGmauH//PsbGxnD69GkSMARBdAUSLARxQjlsb5XDUM/WWNd1zM7OIpPJ4MMPP0QikWjJNon6nIRIAmMM0WgU0WgUFy5cgBACe3t7SKfT2NrawtOnT6EoSpmAOQnn5SjI54GiKDAMwxEmpmnCNM0DRfwylayVzxGCIAgJCRaCOIEIIWAYBgzDANBcb5XDUCvCsrW1hZmZGSQSCUxNTVG/DaKtMMYQj8cRj8cxPj4OzrkjYDY3N7G0tATGGHw+H168eIHBwUFypquCTBOVf+TP3G6C8hlSWQNDAoYgiFZAgoUgThgyqiJrTNrhxlVZwyKEwNLSElZWVjA5OYkLFy7QIKaD0Lm2UBQFAwMDGBgYwKVLl2CaJhYWFpDNZvHy5UssLi4iEAg4FsqDg4MIBoPd3u2uU23ywR2BkcvIiZBSqVQmYGQERqaQEQRBHBYSLARxQnCngB3XBawR7ghLoVBAMpmEruv45JNPEIvF2rJNoj6U+nQQVVURCoWgKApu3LgB0zSdJpbr6+uYn59HKBRy0scGBwfh9/u7vdsdR6aM1oMEDEEQ7YQEC0GcANpRWF8PWcPy+vVrzM7OYmRkBHfu3Gl7x3KCOAruYvNTp0451tqGYTgC5tmzZ5ibm0MkEnHESyKROBFpjc0IlkoaCRgABwr4ScAQBFELGj0QRJ8joyqmaXbM0UcWOyeTSbz99tsYHR1t+zaJ2lBKWG3qRZ40TcPp06dx+vRpAFbPIOlA9vTpU2SzWUSj0TIB04+i/CiCpZJaAqZUKkHXdef3JGAIgqhG/z1ZCYIA0PreKs2Sy+WwvLyMUqmEqakpRCKRtm+TaAylhB0fn8+HkZERjIyMAACKxaITgXn8+DEKhQJisZgjYAYGBqCqapf3+vi0QrBUUk3AyMkVGYGpFDDShYwgiJMHCRaC6EM6nQImefnyJebm5jAwMADTNEmsED3BUe+NQCCAM2fO4MyZMwCsei0ZgZmfn4eu6xgYGHAK+AcGBnoyYtAOwVKJrG9xb1MKmGoRGLcLGUEQ/Q8JFoLoM2RUpd2F9ZXbnJ+fx8bGBj71qU/BNE2naR/RfWhQ1xmCwSDOnTuHc+fOQQiBfD6PdDqN7e1tvHjxAoZhYGBgwInAxGKxnhAwnRAslTQjYBRFOVDET9c6QfQnJFgIok+o7K3SKbEia1V8Ph+mpqYQCoXw6tWrMltjovtQSlh12nVeGGMIh8MIh8MYGxuDEAK5XM6JwKyurkIIUdbEMhqNenLA3Q3BUkmzAqayBqbb+00QRGsgwUIQfUBlb5VONGsTQmBtbQ0LCwu4dOkSJiYmnNniep3uCeIkwhhDJBJBJBLB+fPnIYRAJpNxIjDLy8tgjJUJmEgk4pkBt1f2Q+IWMPJZwzmHrusoFoskYAiizyDBQhA9TCd7q7gplUqYm5tDOp3G7du3HRtYSa1O90R3oEFafbpxfhhjiMViiMViuHjxIjjnjoDZ2trCkydPoKpqWQ+YUCjUlX31QoSlHm5baoAEDEH0IyRYCKJH6VZh/c7ODqanpxGJRDA1NYVAIHBgmcpO970KDWb6H68Ia0VREI/HEY/HMT4+Ds45dnd3kU6nsbGxgcePH0PTtAMCphN4XbBUUk3AyD/FYhG6rgOo3geml46TIE4SJFgIogfpVm+VlZUVLC0t4erVq7h06VLN7fZThKXXBmu16Jfv46SgKAoSiQQSiQQuX74M0zQdAfPy5UssLi4iEAiUCZhqkwetoNevHXeKrKqqBwSMOwIjC/g1TevYs5UgiMaQYCGIHkL2VjEMo6MpYLquY3Z2FplMBh9++CESiUTd5fulhqVfxEo/HEM76YXz404PAwDDMLCzs4N0Oo3nz5/j4cOHCIfDZU0s/X7/sbcr7+NecDNrlnoCplAoOMtIASMjMCRgCKJ7kGAhiB6hWylgW1tbmJmZQSKRwNTUFHw+X8PP9FOEhSC8iKZpOHXqlFM/ViqVsL29je3tbaysrCCTySASiZQJmGbu3UpOwn3crICRkRcSMATReUiwEEQP0I3eKkIILC0tYWVlBZOTk7hw4ULT2+2XGpZ+4iQMPI9Cv0TRfD4fhoeHMTw8DMCKim5vbyOdTuPJkyfI5XKIxWKOgBkYGICmNR4CyOumH85Rs9QSMJxzR8AoinKgBoYEDEG0DxIsBOFh3L1VhBAdeyEWCgUkk0nouo5PPvkEsVjsUJ/vl5SwfoEiXicPv9+PkZERjIyMAACKxaLTA2ZxcRHFYvGAgHH3OZGcRMFSST0BUywWUSgUoCiKIwoDgQAJGIJoMSRYCMKjcM5hGEbHU8Bev36N2dlZjIyM4M6dO03NwlbSDwNkGmicHE7Cdx0IBHD27FmcPXsWAJDP550IzPz8PHRdx8DAgCNg4vF42cTDSThHzVLZ50oKmG9+85u4ffs2wuFwVRtlEjAEcXRIsBCEx3D3VpHpKp14yXHOsbi4iLW1Nbz99tsYHR098rooJcx79LqAJFpLKBRCKBTCuXPnIIRAPp93IjBra2swTRMDAwOIx+Pd3lXPI5/RQgjHZcxtkCJ/X1kD06lnO0H0AyRYCMJDuFPAgM50rAeAXC6H6elpAMDU1BQikcix1tcPERagf2aV++U42kE/XKfHhTGGcDiMcDiMsbExCCGQy+WcJpYA8Cd/8idIJBJOBCYajdJ15UJGWWQURUZY3L8zDAOlUokEDEEcARIsBOERutFbBQBevnyJubk5jI2NYXJysiX2pe4XNb2ACa9D12g5jDFEIhFEIhEMDw/jT/7kT3Dr1i0nhWx5eRmMMcd9bHBwEJFI5ESfRxlRrnYODiNgZIRGppARBGFBgoUguky3equYpon5+XlsbGzgU5/6lFOc2wrk/pNg8Q4USSCOghyIx+NxxONxXLx4EZxz7O3tIZ1O482bN3jy5ElZn5jBwUGEQqETde8fpl9NIwEj1+OOvpCAIU46JFgIoot0q7fK3t4ekskkfD4fpqamEAqFWrp+eQxSgBGEVyEh15jKZ5KiKBgYGMDAwAAuXboEzjl2d3eRTqexsbGBR48ewe/3l/WAafUzxmvUi7A0opaAKZVK0HUdAAkYgiDBQhBdgnOOzc1NRCIRaJrWsd4qa2trWFhYwKVLlzAxMdGWl577xUt0n5M00020lmaipIqiIJFIIJFI4PLlyzBNEzs7O0in01hfX8fCwgICgUBZBCYQCHToCDrDYSIsjagmYGTKsIzAMMZIwBAnChIsBNFhZApYqVTCN77xDXzLt3zLkTpQH5ZSqYS5uTmk02ncvn3b6ZDdDtwpYYQ3oO+iNiToanOUtE5VVTE0NIShoSEAgGEYjoB5/vw5Hj58iHA4XBaB8fv97dj9jnGcCEsjZH2LxC1gdF13BI5bwHRqEowgOgUJFoLoINVSwDoxkNzZ2cH09DQikQimpqbaPrvpTgnrVYQQyGazCIVCVRvqEf0BCbn6tOL8aJqGU6dOOZMkpVKprIA/m80iGo06BfyJRKIjkzitRDqEdYJmBIyiKAeK+EnAEL0MCRaC6AC1eqsoitLWQb0QAisrK1haWsLExAQuX77ckZdWr0dYDMPAgwcP8OrVKydff2hoCIODg4jFYj334u+1/SW8QzuMM3w+H4aHhzE8PAwA0HXdETBPnjxxOsbLCMzAwMCRGth2Es551+6zZgVMZQoZPReIXsLbTwCC6APq9VZpp2DRdR2zs7PIZDL48MMPkUgk2rKdargbqfUae3t7uH//PoLBIKampmAYhtNQb2VlxbFzHRwcxNDQUM+4IfXid9EpeuH76xadcPrz+/0YGRlxnAqLxaJzzy0uLqJYLCIejzsRmIGBAc9FPTsZYWmEW8DI+55zDl3XUSwWScAQPQkJFoJoI3KWS4qSyhdauwb1qVQKyWQSiUQCU1NTXUmv6MVu92tra5ifn3cMCUqlEgKBAKLRKC5cuFBm5/r69Ws8fvy4zA1paGio74qJ+x0ScvXphjV5IBDA2bNncfbsWQBAPp93BMzDhw9hGAbi8bhz38Xj8a6LhW5GWOoh94kEDNHrkGAhiDbgDsnX663S6giLEAJLS0tYWVnB5OQkLly40NU0hV4ZDBqGgYcPH+LNmze4desWTp8+XXXfK+1c3W5IUuyEw2Enfcwrufg08CCOihd6KYVCIYRCIYyOjkIIUSZg1tbWYJqmE30ZHBxENBrtuIDpFQv3egKmWCzWtVHu9nVAnGxIsBBEizlMb5VWCpZCoYBkMgld1/HJJ58gFou1ZL1HpVOGAsclk8lgenra6UkTDAad3zUSXW43JBmR2d7eRiqVcnLx3TPB3Uxl6YXvgvAeXhAsbhhjCIfDCIfDGBsbc8wxpIB59uwZhBAHBEy7j8FLKWGHwS1gVFV1esAIIVAsFssiMLKAX9O0jvUMIwgJCRaCaCEyqmKaZlMP9FYJltevX2N2dhYjIyO4c+eOJwpUeyHC8uLFC8zNzeHixYu4du3asQcclcXExWIRqVQK6XQa8/PzKJVKGBgYcNLHerGAvx+h76A2XhMslTDGEI1GnbRNIQQymYwjYJaXl8vqzgYHBxEOh1t+TF5NCTss7hrLSgFTKBScZaSAkREYEjBEu+n+qIYg+gB3bxU509bMw/u4dR6cczx69AjPnz/H22+/jdHR0SOvq9V4uYbFNE3Mz89jY2MD7733nlPs22oCgQDOnTuHc+fOQQiBXC7nDKRWV1cBAIlEwkkha8dACqABeT28Lqq9QC9dP4wxxGIxxGIxXLx4sazubHNzE0tLS9A0rSwC0wrjjF6NsDSCBAzhFUiwEMQxOUwKWCXHSZvK5XKYnp4GAExNTSESiRxpPe3CqxGWbDaL6elpKIqCqakphEKhjmyXMYZIJIJIJILz589DCIG9vT2kUqmygZQUL4ODg2XpacfFi98F4X28HmFpRGXdGefcqTvb2NjAo0ePyowzjnrf9UuEpRHNChiZOkYChmgVJFgI4hjIqEq9wvp6HDUl7OXLl5ibm8PY2BgmJyc9ObPnxRqWV69e4cGDB544b4wxxONxxOPxAwX86+vrWFhYQCgUKhtIeaGAnzhZ9LpgqURRFOd+AlD1vgsGg2URmGac//o1wtKIWgJGFvEXCgUoinKgiJ8EDHFYSLAQxBGo7K1y1IfvYQWLO5Xp3XffxZkzZw69zU7hpZQwzjkWFhbw4sULz543dwE/gLL+L8vLy3jw4IHTTG9oaOhQBfw0MKgPnZ/a9JtgqaTafSebWD5//hwPHz5EOBxuOHFwUiIsjXALGACOgDFNE6ZpOkX8xWIR4XAYgUCABAzRFCRYCOKQVPZWqXxAH4bDCJa9vT0kk0lomtbRVKaj4pWUsMrUuXA43N0dahJN0w4U8EsBMz8/D13XDxTw15vh9cJ34UXovNTnpJ0fTdNw+vRpnD59GgAc5z/3xEE0GnXESyKRgKZpJzbC0gj5fpTnRgqYZDKJiYkJDA0NlaWQyf8f571K9CckWAiiSZrtrXIYmolCCCGwtraGhYUFjI+P4+rVqz3xYvRCStjGxgZmZ2cxOjqKyclJz3XHPgzuZnruXhSpVArPnz+HEKJsFjgSidALv0noPNWm3yMsjah0/tN13Zk4WFpaQi6XQywWg6ZpThShl58z7UYKEc45/H6/k0ZmGAZKpZLz+8oaGBIwBAkWgmiC4xTW16PRoL5UKmFubg7pdBq3b9/GqVOnjr3NTtHNCIvbPe2dd97BuXPnurIf7aJaL4pMJoNUKoWtrS08efIEmqY54kWmLhLEYTnpgqUSv9+PM2fOOGmlMvL5/PlzZLNZfPWrXy3rvRSPx0nAVME96VctAlNNwMg+MDKFjDhZkGAhiAYctrfKYaiXErazs4Pp6WmEw2FMTU01VfjpJbpVw5LP55FMJmGaZkvc03phwOa2ch0fHy9zQnr58iV2dnagqioWFhYwNDSERCIBv9/f7d32BN2OAnqdXrj+u4mMfBYKBYTDYVy5csWJwLx48QKGYRwQMDTY3hcslTQSMAAOFPCTgDkZkGAhiBrIQkHDMFqWAlZJNcEihMDKygqWlpYwMTGBy5cv9+SAoRsRls3NTczMzODMmTO4cePGiZ3ZrHRCWllZwZs3b6CqKpaXl5HNZhGNRh0L5UQicWLPFVEfEizNId8RoVAIoVAIo6OjZb2Xtre3sba2Bs65U3s2ODh4YpvH1hIsldQSMKVSCbquAyABc1IgwUIQVWhXClgllYJF13XMzs5ib28PH374IRKJRMu32Sk6WcPCOcfS0hKePXuGmzdvYmxsrCPb7RU0TYPf78e1a9cAWNdZKpVCOp3G4uIiisUi4vG4I2BO2izwSRwwNgsJluaoVnRfrfdSNpt1IjDPnj0DAMdCOZFIIBqN9v355pxDCHGkSZJqAkZmQei67vyeBEz/QYKFICo4bm+Vw8AYc0RRKpVCMplEIpHAvXv3er7nRqdSwgqFApLJJHRdx927dxGNRtu+zV7H7/c7BfyAlUYnBYycBZaDqKGhISrgP8GQYGmOZmyNGWOIRqOIRqO4cOGC0zxWmmc8ffoUiqKU9YAJh8N9d/7le6EVIkLWt0jcAkamkFUKGOlCRvQWJFgIwsbdW0XOlrX7oSYjLEtLS1heXsbk5CQuXLjQFw/TTqSEbW1tIZlM4vTp07hz5w40jR5ptaj3XYRCIYyNjZUV8Lt7wLhTzIaGhjxvqX0YqIalMf3wPGo3R7E1djePlbVnUsBsbm5iaWmpzDxjcHAQwWCw57+PVgqWSuoJGBmBURSlqgsZ4W3o7U4QsB6ghmG0PQWs2nY3Nzfh8/nw8ccfIx6Pt32bnaKdKWFCCDx58gTLy8t46623cP78eXrh1OEw58ZdwH/x4kVwzrG7u4t0Oo1Xr17h0aNHCAQCjngZHBzs+QJ+unZqQxGW5uCcH7sOTFEUDAwMYGBgAJcuXYJpms699/LlSywuLsLv9x8QML1GOwVLJc0KmMoUMrrmvQcJFuJE4354yRdzpx5Um5ubWF1dhd/vx927d/suOtCuCEuxWMTMzAzy+XzfiTwvIlNUEokELl++DMMwsLOzg1QqhWfPnmFubq5qIz2iPyDB0hztaBypqmqZeYZpmtje3sb29jbW19exsLCAYDBYJmB6YfJAps9147pyCxj5fuKcQ9d1FItFEjAeht4qxInFnQIGHK9j/WFw9wg5c+YMDMPoywFeO2pYZJ3P4OAgbt261dbz1m8vqFaJR03TcOrUKacnkLuR3uPHj1EoFMpsXAcGBjxd8EopYfUhwdIczdSwHBdVVcvuPcMwsL297RTwz83NIRKJOBMHg4ODnqyFbEU0qhXI74sETG/Qf6MkgmiCdvZWqUcul0MymYQQAlNTU9ja2sLr1687su1O08oIixACT58+xdOnTzta59MvL6V2HkdlI718Pu8ImPX1dZimiUQi4aSPnQQXpH6CBF1ztCPC0ghN03D69GmcPn0agNVoWFooLy8v48GDB56MfjZradxp6gmYYrFY10aZnmntp/tXLkF0kE70VqnFy5cvMTc3h7GxMUxOTkJRFKTT6b4dELSqhkXXdczMzCCbzeKjjz7CwMBAC/bu5NGp66yyD4W0cU2lUk4Bv1vAhEKhrr/su719L0MRluboRISlET6fDyMjIxgZGQFgpc/KCIyMfsZiMUe8dKv/kpwo9DpuAaOqqtMDRghxQMD4fD5nORIw7YEEC3Fi6FRvlUpM08T8/Dw2Njbw7rvvOjPRch+60Q2+E7QiJSydTiOZTCIej2NqasqT6Q1EbSptXKULUiqVwsbGBh49egS/3++Il8HBQQQCgW7vNuGCBEtzdCPC0ohAIFAW/SwUCk70c2FhAbqudyV906sRlka408YrBUyhUHCWkQJGRmA6OTHaz5BgIU4EMie101GVvb09JJNJaJqGqampA3aw/S5YjjqrL4TAysoKlpaWcO3aNYyPj9MDvw9wuyBdvnzZKSJOp9N4/vw5Hj586OTgDw0NdSSFpV8jnK2CBEtzeCHC0ohgMIhz587h3LlzEEIgn88799+LFy9gGAYGBgYcAROLxdoiLHpVsFRCAqazkGAh+hqZAiZdwDr1oBBCYG1tDQsLCxgfH8fVq1erPqBJsBykVCphdnYWu7u7+PDDD5FIJFq/c03SLy8Vrx5HZRGxzMGvlsIyNDTk+QL+foQES3P02iCcMYZwOIxwOOykb+ZyOef+e/78udNAVhbwx2KxllwLpml6oui+1TQrYCp7wJCAaQ4SLETf0q0UMMMw8ODBA6RSKdy6dcspiKxGp7rBdwNFUZxz3yw7OzuYnp5GNBrF1NRUT1h09gq9EEmozMGXKSypVApzc3PODLBMIWvVAIoGC7UhwdIcXkwJOwyMMUQiEUQiEZw/f95pICsjMCsrK2CMOeJlcHAQkUjkSNdGr4m7o1JLwHDOHQGjKMqBIn4SMNUhwUL0Je6oSif93uWAOxwO4969ew3z8dvZXLHbHEaMCSGwurqKR48eYWJiApcvX/bEA7tfv5teoTKFJZfLIZVKlQ2g3D0owuHwoa8b+o7rQ4KlOXohJewwuBvIyvqzTCaDdDqNra0tPHnyxOkTI0VMs/ffSREsldQSMKZpwjTNmjbKJGAsSLAQfUW3equ4ay4OM+CmlLD9iFQ6ncadO3cwNDTUgb07WfTDy849A+wu4E+n09jc3MTS0hJ8Pp8jXoaGhqiAv0X0w/XTbno9wtIIRVEQj8cRj8cxPj4Ozjl2d3eRTqfx+vVrLC0tQdO0sgmEyppNyUkVLJXI8Yk8F/UEjHQh0zSta003uw0JFqJvkL1VpADo1ANR13XMzs5ib28PH3zwgdOVuBn6WbA0Ez3a3d3F9PQ0QqEQpqamaIDZRvotkuAu4L906RJM08TOzg7S6TTW1tYwPz+PcDjspI8lEomaLnMn8eXfLBRhaY5+i7A0QtqTJxIJx0BDCpiXL19icXERgUCgTMDI5zsJlurUEzAvX75EJpPBxMTEgRqYkyJgSLAQPY/MCZVipZPhU9l5PZFI4N69e4e23e1nwVIvJcxtSnD58mVMTEyciAcu0T5UVcXQ0BCGhoYwMTGBUqmE7e1tpFIpPHnyBLlc7oCFq0zLIGpDgqU5+j3C0giZHiYn7AzDcCYQpANgOBxGIpFAqVSia6oJ3ALGMAzoug7GGAzDcM6hLOJ394Hp1+uQBAvR03SrsF4IgSdPnmB5eflYndf7uei+VkqYYRh4+PAh3rx5g9u3bzsOUUT7OImDA5/Ph+HhYQwPDwOwmujJ+pf5+XmUSiUMDAygUCggn8/TwLwGJOia46RFWBqhaVqZA6BhGE4B/+bmJkqlEr7xjW84IqdeBJTYd1aTRfrAfgTmpAgYEixEzyKjKrJrbqdeFoVCATMzMygWi/j4448Rj8ePvK5+L7qvPLa9vT1MT0/D7/djamoKwWCwS3t38ujX66xZAoHAgQL+dDqN5eVlrK6uYm1tzSkeHhoaOlIBfz9CQq45TnqEpRGapuH06dM4ffq0M0k3ODiIdDrtREBjsZhzD3aiB1MvUc0KulYKmRQwAA4U8PeygKGrgeg5ZE6nYRgdTwHb3NzEzMwMRkZGcPv27WM/UKVg6cdBQaUYW19fx8OHD+v2pfEa/fKd9MtxtAp3Af/r169x7tw5RCIRpNNpvHnzBk+ePHEKiGUNzEkV1/34bGoHFGFpHs45AoFAmYV5sVis2YPJncJ5Ummmd00tAVMqlZx0ss9+9rP4+Z//edy7d68Tu91SSLAQPUW3UsA453j06BGeP3+Ot99+G6Ojoy1Zr3ywcM777mEs091M08TDhw/x+vVrvP/++06KDkF4ATkgdzsgyQLiVCqF9fV1LCwsIBQKlRUQn5T0FRIszUERluapVnQfCARw9uxZnD17FsB+DyaZwqnrOgYGBpwIzElrImua5qH7klUTMMvLyz173kiwED2D7K3S6ahKLpdDMpkE5xxTU1OIRCItW3e/CxbDMPD1r38dmqZhamqqps0l0X5OekrYYahWQCwHT8vLy3jw4EHZ7G8ikei7+1dCgqUx0viFzlNzNPO+q+zBlM/nnXvwxYsXThNZeQ/GYrGeHYg3QzMRlmbIZrOIRqMt2KPOQ4KF8DyVvVU6KVZevnyJubk5jI6O4q233mr5A9EtWPqN3d1d7Ozs4NKlS7h+/XpPvkxoAHIyaPQ9a5p2oIBfDp4WFhac2V+ZQtZPgycSLI2RkwH98p23m8PaGjPGEA6HEQ6HMTY2VlaDlk6nsbq6CiGEE30ZHBxENBrtq+u2FYKFc06ChSDaRWVvlU75jZumifn5eWxsbODdd9/FmTNn2rIdeSz9JFhM08TCwgJevHiBcDiMt956q9u7dOLppxd3qzlK5MmdvuKe/U2lUnj+/DmEEGXpY5FIpGe/AxIsjSHBcjikUc5RcdegnT9/HkIIZDKZsigoY6xMwPTyPQi0RrDkcjkAIMFCEK1E1qrs7e0hFAp1NKqyt7eHZDLZkTQmKcD6JV0nl8thenoajDFcv34d6+vr3d4lwqZfrjGvUW32N5PJIJVKYWtrq6yAv1EHcC9CgqUx7gk1ojGtbhzJGEMsFkMsFsPFixfBOT9wD7rTPOU92EvfVyvSxrPZLAASLATRMqRY2draQjKZxLd+67d2rLeKbGbYSSerfmke+erVKzx48ABjY2OYnJzEmzdv+mKQ3A/HQNSnlc8X9+BpfHwcnHOngZ7sAB4MBp30sUQicehi2k5CgqUxFGE5HO3udK8oimOiIbe3u7uLdDqNjY0NPHr0CH6/vywC4/VJhFZEWLLZLHw+HwKBQIv2qrOQYCE8hbu3iqqqHStkNAwDDx48QCqVwq1bt3D69Om2b1PS64KFc47FxUWsr6/jnXfecVxe+iFy1Ov7L6EBZ/dQFOVAAb9soLe8vOzklLsFjJcK+EmwNIYiLIej0yYziqIgkUggkUjg8uXLME3zwCRCIBAoi8B4bVDfKsHSy6lxJFgIT1Ctt4oULO1mZ2cH09PTCIfDuHfvXscfVL0sWPL5PKanp8E5x927d8sc1KStMUF4mU6LUncDPQDQdd2pf1lcXESxWEQ8Hnf6v8Tj8a7P3PfqAKdTSFFH56k5jlvDclxUVcXQ0BCGhoYAWJMIUsA8f/4cDx8+RDgcLnMB7HYUtBXnLJPJIBwOt2iPOg8JFqLr1OqtoqoqTNNs2wyfEALPnj3D48ePMTExgcuXL3flhdOrA/vXr19jdnYWZ8+exVtvvVW1C2+/RCj6AfouvInf78eZM2ccY498Po9UKoV0Oo21tTVwzrvqfkTXTWPI0vhwtDsl7LBomoZTp07h1KlTAIBSqeREQVdWVpDJZBCJRMoETKf7MLUqwtKr9SsACRaiy9TrreJudtTql4Gu65idncXe3h4++OADJ12jG1R2hPc6nHM8fvwYq6urdZto9tpx9TM0mKqPl85PKBTC2NhYWQG/2/3InWI2NDTU9tx7aojYGDpHh8NrgqUSn89XZmOu67ojYJ48eYJcLlfWh2lgYACa1r7hNOccQghKCev2DhAnE3dvFfmwr7yJ3D1KWvlwS6VSSCaTSCQSuHfvXtc7VvdSSlihUEAymUSpVMLdu3frztZQhIXoBbx8jVZzP5LFw69evcKjR4+c3HuZQtbq1BWqYWkMRVgOh9cFSyV+vx8jIyMYGRkBUN6HSaZxVgqYVtboyOyTVgmWXoUEC9FxOOcwDONAClgl8uY0TbMlsxdCCDx58gTLy8uYnJzEhQsXPPGS6RXB8ubNGySTSYyMjODmzZsNH569murWr3h5YE40R2XxsMy9T6VSePbsGebm5hCJRBzxkkgkjv3spOumMRRhaZ5WRQu6ibsPEwCnD9P29jbm5+fLGsm2og5NvkdJsBBEhxBCOC5gzRQptrKpYqFQwMzMDIrFIj7++GPH7tALeF2wCCGwtLSElZUV3LhxA+fPn2/qc/2QEuYFQdsK+uU42kWvnp/K3HtZwJ9Op/H48WMUCgXE4/Gymd/DDpwowtIYirA0j3zX9ZPAC4VCCIVCGB0dLWskK+vQTNMsEzCxWOxQxy8L7o97jWUyGaphIYhGuFPAgOY61jPGoCiKE4k5Kpubm5iZmcHw8DBu377d1lzTo+DlSESxWEQymUSxWMQnn3yCWCzW9GcpJYwgOku1An45cFpfX4dpmkgkEk4EppkCfhIsjem1FKdu0o+CxU21RrLZbNaJwKyurkIIcSgjjVYU3ANUdE8QDXH3VjnsLMFxrI0553j06BGeP3+OmzdvYmxs7EjraTdejUTIxp2nTp06ktDzshA7iXjxGvMC/XxeKmd+5cAplUo5BfxuAVOt+zcJlsZQSljz9LtgqYQxhmg0img0igsXLlQ10mCMlfWACYfDZfdcq2ygc7kc2RoTRDWq9VY57IvvqOlSuVwOyWQSnHNMTU15Om/TaylhQgg8ffoUT58+PVatTz9EWPploNYvx0EcncqBE+cce3t7SKVSZd2/pXiRzfNIsDSGUsKa56hjgX6hmpHG3t4e0uk0Njc3sbS0BE3TyiIwhmG0LMIinc96ERIsRFuo1VvlsBwlJezly5eYm5vD6OgoJicnPV/c5yXBous6kskk8vn8sWt92mlLTRyeXheP7eQkXp+KomBgYAADAwNO929p3Sqb50UiEZRKJezs7CAWi3kundYr9FOEpdpTQv6MgdVZCmjmLqL0uXLc9+GlS5fAOcfOzg62t7ediQQ5hnn58iUSicSRrcwzmQyuXLnSyt3vKPT0IVoO5xy6rrdkJuUwKWGmaWJ+fh4bGxt49913nTxur+MVwZJOpzE9PY1EIoG7d+8e2+5Zfu+9Llh6ed8JollUVT3QPC+dTuPhw4dYX1/H8vKyY906NDR0pAL+fqUXIiziwB9W9m8VDKhxDMwWZPWmPFSFWR8XcnvC/rv9f9eEid8fOO7h9C3uPktyImF5eRkbGxtYX1/HwsKCY2XujoQ2Qz6f93S2SSNIsBAtQ6aASRewVoR9mx3MZzIZTE9PQ9M0TE1Ntb2ZWivpdq2HEAIrKytYWlrC9evXcfHixZa8fN0ubzSwIbwKRZ6q4/P5MDIygkePHuHdd9+F3+936l/m5uZgGAYGBgacFLJYLOb5QXu78FqEhQuAAzAFYNr/VpXqgoQBUIE6YqV+vQmDfNe7Vgg7GsPsHwhAsRcIRSK4ev06NJ/fFjUCQlgChwkBYf8hLFRVRTAYRDQaxXvvvQfDMLC9vY3t7W0nEhoOhx3xkkgkavZiymQyJFgIolUpYJU0SgkTQmB9fR3z8/MYHx/H1atXPfXiaIZuFt3ruo7Z2Vns7e3hww8/RCKRaNm63SlhRHc5qQPJZqHzUxsZIQ0Ggzh37hzOnTsHIQRyuRxSqRTS6TRWVlYaFg73M92OsBhC2OKEwRTlCVsMgKYoUjfYekI46Vuq/JsQrk/Yy7BqYkW4VwRFYZbocD4r/2YLFiGgsP11uCPuzI7qMCbAlIrUbZd4kS0RcELfJZxzJy1M0zScPn0ap0+fBmBFQmUq5/LysuMENjg4CF3XcebMGWfZbDZ7KKdPr0GChTg27qhKM3bFh6FeSphhGHjw4AFSqRRu3brl3JS9RrdSwra3tzE9PY1YLIZ79+4dOwWsEndKGNF96HsgjkK1lE7GGCKRCCKRSFkBv7tw2OfzOeJlaGio6bSVXqTTERYuBEoCKHFA5wKqfO9a2gEMVsBEgYysCAhXBYoUFiqrvc8Kar3Lre1YYoY5QZSy30uEbb5iixwBu72BPV6QOWRVz519TJbmsRtNMlYuZOwmlP3+bKtna+zz+TA8POwU08teTNvb2/jVX/1V/NZv/RauXbuGTz75BC9fvmzJdfrVr34VP/dzP4dvfvObePnyJX77t38b3/M931P3M3/0R3+EL37xi5ibm8OFCxfwUz/1U/jc5z53qO2SYCGOzFF6qxyWWoP5nZ0dJJNJhEIh3Lt3r6dfhp0WLEIIPHv2DI8fP8bVq1dx6dKltswOtrLxZ7colUrIZDI9n+7Sy/vebvp9sHNcmjk/lYXDpmliZ2fHaZw3Pz/vpK0MDQ0hkUi0fIKkm3QiwmJyjpJg0DlQciIagJ8xMIUdCKsoANTtNJS5OSgvX0H4NIjLV2C+/TYUvwZWV6zUf2YoAJjCUPeIXWlgcp8YrN5q/kDAXr8thoUoj56w/fQ1Ic+tXJdLyEAO4l2f57aI6eX3TiWH6cPi7sX0a7/2a/jxH/9x/N7v/R6++tWv4tWrV/jrf/2v45d/+Zfx7d/+7fi2b/s23L1799Ap9NlsFu+99x4+//nP4y//5b/ccPnl5WX8pb/0l/CFL3wB/+pf/St8+ctfxg/+4A/i3Llz+PSnP930dkmwEEdC9lZpt6d6ZUqYe7A9MTGBy5cv9/xgTFEUlEqljmyrVCrhwYMH2NnZwQcffIDBwcG2bavXIywyAlUsFqFpmjPYkv0qCOIkcBTTDFVVMTQ0hKGhIUxMTDhpK6lUCk+ePEEul0MsFnPup4GBAc+7OdajXXV6QggUTIECt2pSrDoPQOoTza5LEcB+YIMBKgPU9Da03/8DoKRbg3xdB3swC+3xYxj/0/fWKlmpW88CWNtuJFaYqC14hCzEhwBzn7MqyztCUAoSt3BxrZABzrrc34M7nUwKmV7kOI0jL126hB/5kR/BD//wD2NiYgL/9J/+U6TTaXzlK1/B93//92Nrawt3797Ft3/7t+O7vuu7cOvWrYbr/OxnP4vPfvazTe/Dl770JVy+fBk///M/DwC4ceMG/viP/xj/+B//YxIsRPuQN78UK+32U3enhLnrLdo92O4knSq639nZwfT0NCKRCKampmoW5rUKGXHrtZeEEALPnz/H4uIiJiYmcPbsWWSzWaRSKbx8+RKLi4sIBoPOgKxXZot77XvoJL0+6dFOWuHyV5m2UiwWnfqX+fl5lEolDAwMOJMCvRbRbLUTYokL5AyOnCmggMGnMiiwhvmcWYX0/hpF9JodcVH/259C2XgFYVtRM8aAfA5KIAh1eRl8YmJ//2EX3x/M76o8UgAMggt3Gcs+dhSl3rngnAOcl4uV6gvuiw/3+uznmHyeKXUyO+Q7iDHmWHLLMYz7/17HNM2WvK+z2SyuX7+Ot99+G5///OchhMDjx4/xh3/4h/jKV74CIURTguWwfP3rX8d3fud3lv3s05/+NP723/7bh1oPCRaiadpVWF8PmS6VSqWQTCaRSCTaUm/RTdpddO8egF+5cgVXrlzp2GCg2w5oh8U0TczNzeHNmze4c+cOEokEdF0v61chXVrkbHE+n3dmi4eGhhCPxz1n/NBLg79O0wsDlm7SDlvyQCBwoIBfdv5eXV0FAKdx3tDQkOcL+FsRYRFCoMAFsoZAkQsosMSHwhjcT1AGwCfFinAZcQkr4sIUu6B9Zwf81ClAs96VytYWcOEioJfAUmlgonydjcSKFdwoP8ayO8eOdIAB3LE0rlgHBLhpQGvw/hb1BI1TsI/91DAcvI9r2eozxg5EKzjnzrjGi++r40RY3OvI5/OIRqPOzxhjuH79Oq5fv44vfOELx93Nmrx69epAm4kzZ85gd3cX+Xy+6YwFEixEU8ioimmaHe1SyxjD1tYWVlZWjtV13cu0s4ZFGhOk02ncvn3b6bHQKXopwpLNZnH//n34fD5MTU0hGAxW/V4qXVoKhYIzWzw7OwvOORKJhCNgvD7YIohayHu3ndevu4D//PnzEEI4Bfxv3rzBkydPDqRkBoPBtu3PUThO0b0QAnslEwUOGHYBvQJblIBB7Jt2gTHAr9o/t0Mc8unqU5iVryUX13xgegkCAloqBQyf3u+RUtEAtDmxUucaEMKqV3EvUrm4sFakqCpMkx94tkoBIoRoHH2RaWBl+1g9pQwNlpE/d0+Cei0K0wrBks1mAaBMsPQaJFiIusjeKoZhdCQFzE2hUMDm5iYMwzh213Uv0y7Bsre3h/v37yMYDGJqaqorxgTdtGw+DBsbG5idncXY2BgmJycPNfgIBoMYHR3F6OgohBDIZDJIp9PY2trCkydPHLckKWDanYpXi174HroFCcrqdEKwVMIYQzweRzwex/j4OEzTxO7uLlKplNM4T6ZkSheybkfc3bazzSKEwE6JY1c34VeZ7eHFYAAI2DbETMBJBWMMUN3NG11fia9Kepi4chmYmYG2tQMMDwOGARSL1v6eP2+tUwjLRayeWMERxMqBZWzRA7bfo63KB2Q0RNg1K5aOqji2JqNZtaJe7uegI5CquOBVfp+maXZNwPS6YDl79iw2NjbKfraxsYF4PH6oelASLERNupECJtnc3MTMzIzzYupXsQK0R7BIZ55Lly7h6tWrXRuQeT3CwjnH48ePsbq6infffRdnz5491voYY4jFYojFYrh48aLjlpRKpZwmX9IjX9a/dKLYmAbktfHy9dltuiFYKlFV1REmgBU1luljy8vLePDgAWKxWFnjvE4X8B8mwiKEwG6JI10woDAGn6ZA2soIACFFcYrqZb2KyhjUGqLAEiuw+9bvw2/ehP/xIzDOIYpF6zsMBGC+9z4wfNpKA2uwz5ZYQe3+J82kC7rEijz+mk0q7f1xhIprO4Bl56ygcZpive/D/bkygVTl9+7lqqWRuVPJ2slRBHEl2WwWgUCgK+L+7t27+N3f/d2yn/3+7/8+7t69e6j1kGAhqiJ7q3Q6qsI5x6NHj/D8+XPcvHkTxWIRe3t7Hdl2t2hlnYdhGHj48CHevHnjid40Xq5hKRaLSCaTKBaLuHv3bltmntxuScC+R34qlcLCwgJ0XS/L1e+1YmPiZOCla1LTtAMF/FLAyHuqsoC/3TVlzdoaZ0sm3hQMx+GLqQo4rCgKBOBXFQhbpEhkHQsg3bekxxbgc9v/uj7DACiBAMz/6a+AP38O5fVrcE2DGB+HsJ9FaoP9bSoNTK04r3avFWcvhDwvlY0jDzajrJsGZosKxT5egYqJBlcPuGZrrsoaWFZGp2rUw7hRFMVp6dBuWhVhiUQiLbmXM5kMlpaWnH8vLy9jenoaQ0NDuHjxIn7yJ38S6+vr+M3f/E0AwBe+8AX8yq/8Cn78x38cn//85/GHf/iH+Lf/9t/id37ndw61XRIsRBmVvVU6KVZyuRySySQ455iamkIkEsHKyopnB7ytolVpU5lMBtPT02U1GN3GqxGWdDqN6elpDA4O4vbt246DTLtxe+QLIZDP55FKpZBKpfDs2TMoilLWbK+V9sle/B68gpcG5F7CCxGWRgQCAZw9exZnz5517ik5KfD8+XMIIZyassHBwZYN2tw0KrovGCa2CqbVkR6W0FAUq1aFC0ughGyxAsAZgKuw6kukbbEUKgDgs9PGKmFwWRMzBjE+DnN8fP/3TUSDmhIrSvWNuyMpiqLuF8Xbe17SS1BV1Y602FKmyZqVsqhLxd+liGE4mPZ1cHX1RU1lwX619em63rFnaisESyaTQTgcbsn+/Nmf/Rm+7du+zfn3F7/4RQDAD/zAD+A3fuM38PLlS8c8AwAuX76M3/md38Hf+Tt/B7/0S7+E8+fP45/9s392KEtjgAQL4aKyt0o7GkHW4tWrV3jw4AFGR0cxOTnp3Jzd6gLfSVpxjC9evMDc3BwuXryIa9euecalyms1LO4+PteuXcP4+HhX0+XC4TDC4TDOnz/vdAtPpVJ49eoVHj161DL7ZC8POAnv0guCxY37nhobG3NqylKplFNTJgv45Z9WTArUGgCbXOB1voQiFxCOMLEiJqYATDtqENIUSwTYiV0cgMYsVy5RsVoGQGsgVkSVfWHyu1Qqk8f2PwscQ6yULSKgMKWiBt/6l6pp8Pk0gLF9zcG5tc/u603+kvPGgkbuVw1xUslxIjBCCOi63nh/Wog0OzoO2WwW0Wi0Jffyt37rt9Z9r//Gb/xG1c/cv3//WNslwUJ0vLeKG9M0MT8/j42NDbz77rsHrO9UVe1Ijmg3OY5gcZ+/999/30mT8ApeSglzO6Z5sY+Pu1t4r9on9yJeEtReo9cESyXumrLx8XFwzrGzs4N0Ol3WU8ktYI5iilEtwrJTNPA6r0NTVJiwIgkhOwWM25ecCiCoMnABCJfll09RqooCIaR72EHbYMs0jIHXqTlR6hTYc1gOZUxuqBpCOLbJtagmVg4chKgQRnK7FXUrXEZWqkVYyna+doTrqDUrtX7eabECtDYlrJchwXLC6WZhvUxh0jQNU1NTVWe6KMJSm2w2i+npaSiKUvP8dRuvpITJa83v93fNMe2wVLNPlqkuR7FP9sL3QPQW/XbNuFMuATiTAul0GisrK5ibmyszxRgYGGgqXdRd5G1wgfVsEbpppUQBllgJ2GLFKna3xIWqMJgVQ3t/RY8V9zegKXZPlipfi1ZHSDBYYqV2f3pbrByxZsXZz0ZiBYDJTfiZr+E4o2rhvO0eZqXISV81NLZBRv2aFfl7pxllDXexbogV6UpGgoUEy4mmW71VhBBYX1/H/Pw8xsfHcfXq1ZqzIydBsBwlCiFT6M6fP4/r1697dqbdCylhr169wuzsrOfS5Q5LMBgsa7bnVfvkXqRXIwjtptcjLI2onBRwm2IsLi6iWCwiHo879S+1opqy6H67aOB1vgQA8KkKhAAMYaWBWTUpAqbYFysy2iGTtGQRvagIoCgM9vI1juOYYqVet3hrkcY1K6hWsyJk5Gd/ecE51AYisGbjSPv8OOuzU8kcG+Qax9FMIX6lmKl8b3VDrABwJpNJsJBgOZF0s7eKYRiYm5vD1tZWUy5WJyUlrNlBPeccCwsLePHiRdUUOq/RzQiLdJxbW1vDpz71Kc+fq8NwWPvkbvepIHqTfhcslbhNMQA4phjpdBpra2tOVFNGaWRNgCEEtkwFSlaHT2HQVAUlLgAOxAIqOKx6FcBK6VLs+g1ZIM7B4FdYWVqY5DBipfJJa0UfaqeBHUuslC1So2aFwSVgrP9ye/whJ+mk85ezrnpd7t1U1rZUuofZ9skMh69ZAcqFS7fECrDf/LIVgqWXm0YCJFhOHN1MAdvZ2UEymUQoFMK9e/eaSss5CRGWZo8xl8thenoaADA1NdUyx4920q0alkKhgGQyiVKphLt37/b8zFIj6tkny5liIQRWVlbIPrmCbkcAvUyzFrH9SigUwtjYWFkBv7sHjKIoCA6ewo4SgmkAI6rVU8UUAn7F6rFiOJeXgI8p8NlpXULYA2wwBKRYqYCxckHC7HiFXGWlNTGr+Ls7srJ/ldsiVLZDcVKhZGKX/X/rlw0j0g1rVrAvVhgYFEWBpmouNzF5D+5HSRqKlnqF+G7RgeoRk2o2xtWuc5mF0k1alQFDgoXoKbrVW8XtzDQxMYHLly83vW0SLBayE/vo6Cjeeuutnklr6kZKWCqVQjKZxKlTp3Dnzp2OWRZ7iUr75FQqhZmZGezu7uLZs2dgjDlpLq22T+5FTvKgvB4nXbC4qRbVXNrcxmauCL67g9xOGuvFHEJ+P0KhEOKRCLiwOskzJhs/MnDX0F7AqlnhgsHdrF4IK7KiVDh6uUXNYdPAyv8m7G1VOoYx5//M7peyLygq1mP/5TBiRR5bZfG89AlQ3FEEIfY/L69DxppzDbOL9KtFTPYXEc717VWxArSm4B6wBEsvTHLW4+S9yU8g7t4qspCtUy8hXdcxOzuLvb29IzkznZSUsFqCxd1I85133sG5c+c6vHfHo5MpYTKCsLS0hMnJSVy4cIEGW7C+g1AoBMYYPvWpT7XVPpnoL0iwVKfEOZ7t6TD9IQz5guD5HE6dGgJnKkrFAgrZLPZSKfgDAQRDIUSCAYRCof0GkPYw3u9SKVY6k7V+KVZqodX5ThrXrKDu7+T+MeayTnanbDl/EbagEuCiIrpj17ZUihXrYwebbIpqBf3Oudr/u5DvSXejzspzUUWsVD3GKjUrbhcxL4gVoDWWxoAlWHpt/FAJCZY+h3MOwzC6kgImZ7oTiQTu3bt3pEHQSYiw1EqbyufzSCaTME3TaaTZa3QqJcwwDMzOzmJnZwcffvghEolEy9bdbwO2w9gnDw4OYmBgoGciekeBUsJqQ4LlIBndwOpuAYqqwjA5YkENTNMgFBWxYBCBWNjqscI59GIRRiFvTRBsvUHA70cwFEIgGEI0GICAcviaFVn8UoXmxEpZGXz1ZepsA8CBnicHNAPsontu2SA795htKFDmXowqYqUatdLEpHMYY85+HbVmRb6vvCJWgNZGWCgljPAk7t4q9cKe7dr2kydPsLy8jOvXr+PixYtH3rYULP384pSDQbeX/+bmJmZmZnDmzBncuHGjJQ+sbtCJCMve3h6mp6cRDAYxNTXVFnesfrj+an0P9eyT19fXD22fTPQX9F3vs5nT8SpXclJdI34NJVNAmCYCCoOq7tesqIqCRCQMJRYFh4BhmCgWiygWi8i/2cSupiHg91tRmEAAPp8PCrPdw2TEQqaI2f9V7Cr2ynoUCQMDuCUCZGd56eQlYNetKO41uqIYNlaNfoMi/EaCxt6EM9HhWtY0TSeaIQRv6t1Wt6ZFOofZSsgpvLf/XauZpJfTwNy0SrDkcjkSLIT3cKeAAeioWCkUCpiZmUGhUMDHH3+MeDx+rPXJG5Xz5h5svYh8qEuRubS0hGfPnuHmzZsYGxvr8t4dj3bXsLx48QJzc3O4dOkSrl692pbrvB/EymH2/yTaJ/f699su+uHabwVCCKzu5rGrczCFQbWjIIrCwASDwgRUVYPVz0SBgLAsihWr9wrAoGkaVE1DIhYFcAp6yUCxkEchm0V6awsMQDQaQSgcRjAQhKqpYGI/XUxTZA2Mm33BoQLOgN39O/l5BlTtci+jIczp+8IAYW+FMQCujvQCzYuVGteNJcrs/jSKWl50L/fT5RwmhGjsGiYFSoVrGAC7b035WekVsQK0TrBkMpmezNJwQ4Klz3D3VmGMdTSVQ0YFhoeHcfv27ZYUO7ujD/0uWPL5PObm5hxnq16fDQHaF2Fx2zu/9957GBkZafk2iNr2yel0uqp9ciKR6Nv79CRCgsUaMD7ZzqMkAE1VwCHgVxUIMJS4QEhV4FNVKMySBYYQCKpVUq9t5zAGaxCtaRq0WAyRWMxKaTJKKOo68vkCdnZ2oSoKAsEAAv4AwkE/oNZOqZZipRZOTUrV31n/ZcztQOYO7QgrWAEATEAI5lJAVZLP6ogVGfcRFVGcyjiPpT+szAoFDIKJMhFTvlLRWNTY6WIAnL4twlXr4qWalUpamRIWi8VasEfdgwRLn9DN3iruwvBWRwXkYN40zb4tBJbH+I1vfAPDw8N95WzVjhqWQqGA6elpp7an151POkUrhKPbPnliYqKqffLAwICzTC/YJ1MNS21OumAplEw83clDMAbOACY4Qj7NSvsSHEG7IaRgCkwwKIBLrNgJV1Y7FvgUBbysMn3/fz5VAdQgAoEgEAO44NCLOop6EZmdbeztAprmQyAQQCDgRyAQcAboDcWKQMMIRTN1LWCwXMPcP3M5iMlP1zMLsLI/SladSf2t2cJnf7+liJHI/i0CjY/PibC4CvXldc05h+FRsQK0brKWGkcSnqCbvVVyuRySySQ4522JCshj6dfCe1nvAwCXL18+lOVzL9DqlLCtrS0kk0kMDw/j5s2bNJvfJO26pirtk2WjvVQq1VP2yf10z7WSkyzmsnoJT7bzllOlEAhpKsAYTGE1f9SYle7FsZ/MFLCbQnIhygb2foVB1LjEfFUaOypMQTAYRDgUBBIJcM6hFwsoFIrYTqdhGCZ8fj+Cfh+ikQh8/gCYUi3aUZEmVQVZ+1F3GVbnHnF5McuUM+FEZeSZsdPZuBXpqRXt2d9tXnUZVhGFsSyOmeMeVq8ov9p5EB4XK0BrIixCCKphIboP5xy6rnc8qgIAr169woMHDzA6OorJycm2DR771SmsWCxiZmYG+XweAHDmzJm+Gzi1KiVMCIHl5WU8efIEb731Fi5cuNCCvWtMv30f7YQxhnA4jHA4jPPnz5N9ch8gbfC9DNvagvZv/y3Ur38dIhyG+ZnPwPiu7wKOEaVO5YpYzepQFQUKY1YEhFniwhBWw0ZhRwmYEBAlHUFVsQVN+fPOp1jLliFctsbWD1z/hR1dkPUkVpQrELTcxYAETNOEXsjDMAxspdPgXMDv9zvRF7/fb6WBgQGcgwNO1Mc+a/sRnkZipYllpFgp+5zLNUAenclNp72CqLFeDlEWWamzUTDpLuYSTahYd60ITC+IFaC1KWEUYSG6gkwBky5gnRQrpmliYWEBr169wrvvvoszZ860dXuKovRdLxZp+Tw4OIhbt27hK1/5Sl/OZrYiOlYqlZxePh999BEGBgZatHcnj06m+PSKfXI/3netwuvnhm1sIPg3/yaUR4+sGXTOoX3lK1C/9jUU/9E/atxgsArru3lsFkrwaarTwNGnKjAFoNs1K4IBql0WYcJKT6o2KNZk6pOrCaIAwAUQUBl4zcJ01I16+DUVAVc9gmEYKBSKVgpZJgvOTYSCQQSDIQQCAVeKsWud3CrC53bBvdPg3l5MgEFBcwXv9dLAXIuBMQZ/IFAjEsPsdTUpVqotJx3D5FJ2vxbpGubUwQjRE2IFoBoWNyRYepBupoBlMhlMT09D0zRMTU11JMVDVdW+ibAIIfD06VM8ffq0rLlhv0aRjhth2dvbw/379xEOh3H37t2uOFL1Q5TFC8dA9sm9h9drWHz//J9DefQI4syZ/YhKJgPtP/wHGP/D/wDz3r2m1yWEwNPtHHaLJgJ+DTrniGgKFEVBiVvPsKBqOYOZQsC0H2s+ZqVGWuNgYXW0hyViBCxBU0lArVFAjsYRDaVKepamaYhGNUQRsepE9BL0ko5CIY/d3R0oimLXv1h/VEUBU2SHepfrF3NHeezeJlz+ZL8OhLkiGs2JFdmQ8eC+y0iMsKM0HKLMrZkdqHdpQkSh3AqZ7W+oZyIrEtM0j/3eMwwDxWKRUsKIzmKaJp4/fw7GWEdTiIQQWF9fx/z8PMbHx3H16tWOzYb2y2Be13XMzMwgm80eiBT0yzFWcpwalvX1dTx8+BCXL1/GxMSEpwdOxOHxkn0yXVvV8bpg0f7gDwC/vzz9KxoFdnag/vEfNy1YDMPAwnYeRYPD79PAIRDzaTABmFxAUxQntcsSKtY58SkMjAsYJV0GKGAIQJMD/yqnzlfL7cqmlsOWXF293wtY6WpqMIBAMIBYLAbBBYq6Dt2Ovmy9eYNAwO9EXwKBQJV3+f73fsAm2S60Z3Y4xnm81yikd19DVm1K9R0v+zRz/0rsb4PzpppM1uzbYrd86CVaEWHJZDIAQIKF6Azu3irpdBqMMZw9e7Yj2zYMA3Nzc9ja2sKtW7ecGdJO0Q8pYel0GslkEgMDA5iamjqQu9+vguUoKWGcc8zPz+PVq1d4//33MTw83Ka9O3l4dQBK9snexKvXi0Qwu2Fg2Q8rHKEakC+V8OBNFn5VhU9ToTIGn8JgwkrpMmH1XHHXoSgA7LIWGAJQfH5wWB3mnQhIlc1rNcSKsIMKfmYpnWpiR8jPu/5duVg1xzCmMASDAQSDAcTj1mBe1y0Hst3dXRiGAZ/fh0AgiEDAD7/PD7WZyUg70uKuu6l0DENFNKhahEUeS92vyxZG+33ZrIQymcrWVN8WmQbm8TTHSlohWLLZLAASLEQHkL1V5MBP07SOeYbv7OwgmUwiFArh3r17CAQCHdmum15OCRNCYGVlBY8fP8b169cxPj5e9YHdr05ohz2ufD6P6elpCCE6lnJ4EvDyoLManbRP9nqdRjfxumAxP/1pKF/6ElAqAXISaG8P8Pth/oW/0PDz6YKOuTcZxAN+aCpDyXYAUxUFphAocYGgJtOKrJ4gpuOqZZW1Sz8wxiwho1U0Z2T2OWR2PQwAR21IoSIA+BSUN4UU5X/VFJTbIrt+J2MhHOUCjrl+L5hlu6yoKkKhkPVsHbAGxIViEXqxiHQqDaOkIxKJwh/wI+APwO/3oVI9MVajr4s7KiM4AAWC74sY2eW+bP+bucYqertUprKV9W1hivUB9zptsdKL93qrBEsoFOr5SR4SLB5Gdj6XYkXWqqiqikKh0PZtP3v2DI8fP8bExERX7XZ7Nfogi8V3d3fx0UcfIZFI1Fy23R3hu8VhjuvNmzdIJpM4c+YMbty40fMPV6J11LJPTqfTWF1dBYCesE/uNbwuWEqf+xzU//pfoTx8uD9zrmko/ZW/AvOjj+p+9mUmj0fpHAZDAaiMQedARLOcvmTNil+xi+sBmAIwbdFiiZL90TIDg+D7molZPwa3esgDthDiZUUi+/hcjlrV0BoU4UM6gqF89e7qEyYEuB2RYgJWM0ZYNTnhcMiqGbPNfIrFIorFopVKJFBW/6JpakNbYuu7KHfw2s8cU+wICRx3sX3RVfXQUCNgdWA56S7m7tnCAPAqQqlXaEUflmw22xc1gSRYPEq9wnpVVduaIqXruuPK9MEHH2BwcLBt22qGXkwJ29nZwfT0NKLRKKamphrm3/eqKGtEM0X3shfN8vIybty4gfPnz3do704evfrSdtMO++Ref5G3C68LFnH6NPL/4l/A9//8P1D+9E+BUAjGf//fw/zv/ru6DmGr21k82iliJOyHFQcAoprV/FEOkP12fxTDXQAOBr8qDYOFNRYXHKZpwK8ymAearViD8YBb4FSgMjgWydVQWPUeIuVbqf8dyaJzJ8AjC93lbwWsUb5ijS/C4TAi4TAErIk3XddRKBSwtfUGwUDASh8LBhDwB6BqFYPparlqNrzCqQuK3YiSQ0o7edD7PgCs8fGJyoiK65yYpun0aelFWlXD0uuWxgAJFk8ioyqmaVZ1AGunYJF2u4lEoqmBdifopZQwIQRWV1fx6NGjQ0Wm+lmw1DsuKY4zmQw+/vhjxOPxDu7dycHLg87jclz75H4Qce3E89dOIoHS5z4HfO5zTS3+cHMPq5kixmJBCDD4mNWF3pT1Jyh3lZIIDoR89ow99l3CTMGsIvsa56meWGGs/vmtmXol9wl23UoDmuujojiWxnLdAKD5/dD8PoQjYQwNDqKoF1HUdWSzWWxvb0NV1bIIjOxAX2s7lljhgPu4ygQUXIX9sE+SqCla6ugjcG5C8N6a7KykVSlh0WjU+/dyA0iweAjZW8UwjLqNINshWNyz3NevX8fFixc9c3H3ymDeMAw8ePAA6XT60JGpXjnGw1IvwlIZhaImgkQrqGef/OLFC5imWWafTNTG6xGWw/LfXm5jM1fC+XgQiqJANzmCmurUR5RMAZ/KoNkz/0IIqwBdCPg0BqOKk5UKAc1fvbbTp6CmWAGDY4FcDcvxS6mbC9VoGCtQ31XM2RWldgzDqoOxf6+4G1gKcC5QzOdRKBaQy+VQLBQQjcas4v2AFYFxN5QUAna0o3FRv1vMye9CHhWDy1oZ1cUMFxy8xzIzqiEnro9DPzSNBEiweIbD9FZptWApFAqYmZlBoVDw5Cx3L6SE7e7uYnp6GqFQCFNTU4c2J+jXovtaNSxra2uYn5/HlStXcOXKlb4aFHmZkxhNqLRPzmazSKVSjn0yACwtLWF4eLjt9sm9Rr8IFs45vrqWxp5uYnwgBKYoKJocUdUSKyXTsuhVFatJJIM1pDbBYHCBkKag2tNZYwwlxg4GFISwxISwogP7le/7EQFr/aha0wJY+8KFOPB79+Bc2OlSLmfh8nXUPy32+hqnXDmRkYpPKgpDKBJBKBIB7JrbQiGPfD6PnZ0dgDGEQiEE/JbNMudmTQe1yu2xyv4ubP8vllGBgODC2a1yNzIB3mP2xbVoVYSFBAvREmTH+npRFTetFCybm5uYnZ3F6dOncfv2bVdHXO/g5ZQwIQTW1tawsLBwrH4h/Vp0XxlhMU0T8/PzeP36NW7fvo1Tp051ce9ODv0w6GwFjDFEo1FEo1HHPvm//Jf/Ar/f79gnRyKRsvqXk2z+0A+CxTAM/OHaNrIlE1cSYZiweqdENdVqAMlh53kJhAIaOFBWtxJQWVWxosBy/RKcwyyVLL8wYTl9MQEIlcEA9s0AXOvUGHOK8auhyhSpKr93BA+DnZZWbicm6/MZZJG9/KXtrVUWJKqfcgZ7/xtfA8IxBIpEoohELPtcwzCs6Es2h1RqC4ZhIBwOI5PJIBAIwKdpB4VQs80o+b6okQJG1uJwsz/ECueW8xkJFgvvjU5PEO7eKkDzHetbIVg453j8+DFWV1dx8+ZNjI2NHWt97cSrERbDMPDw4UO8efPm2IPvfk4Jk8eVy+UwPT0NxhimpqYQDAa7vHfN0YxxANGbyFSL8fFxBINBlEolpFKpttgn9yK9ft0X9BK+/DyFgiFwdSgCU1gCRLX7q0Ba/TLA51dRqjhcnwK4vXNlehXnAqrCwG2Bovr8Tk2LEICvhsgBAKVBeEFp4AhmpYrV1DqunysVy9gl9kKmUNnHI6zwT7VNCjuy0uiKr7WEpmmIalFEI1FAcGzv7KJUKiGTyWBzcxOqoiASiSAUCsEfCEBTtaZS2ITAwQiMtSN9kQYmkeOeVtWw9DokWLpEZW8VxljTL8LjDuBzuRySySQ457h7967nL2RFUTzXnXZvbw/T09MIBAItGXz3q2CRkaPNzU3MzMzg3LlzeOutt46dk0scjV4fgLYL+ez1+Xxkn+yilyMsuwUdf/BsC4YArg/FoCh2tIFZTSAVW6wUTY5oQAWvcPhShNXhHrBSs0yxX2gfVPfFQOUt5a8jViCsVK96dS2NBuwqE7U/L/cd0gms2i5YKVUKLMEl4xPu6IxcTkHj7C1WNV3s4FbBFDCFwe/3Y2BgAIBAUdehF3Xs7mWQ33gNVWGIxmIIh8MIBAJQq3W1r7M5bpoHv5AeRo4JjitYcrmc58d5zUCCpcPU6q1yGI4TYXn16hUePHiA0dFRTE5O9kS6g6qq0HW927vhsL6+jocPH+LSpUuYmJhoyeC7XwULsB9ZefvttzE6Otrt3TmR9Oqgs5scxj55cHAQg4ODfWcc0auCZStXwJdX0zDBMDkUgU9lKHIBv6LApyhgENDtXiBRv0usCAHV7juoqAwlDlT6UPkrGkPKdCjAKqLndZqK+Oo4hgF2v5V6NCNW6jiWOcvU+Ll0NwasdDETUpC4a132ozHNiRVrbXID+9cTs2pb/AHEYjFwbkLXSyjqRaS3d1Es5OHzaZbFciQMvz9QN1VMcA702Tu0llPsYSFbY+LQHKawvh6ypuMwLxPTNLGwsICXL1/i3XffxZkzZw693W7hlZQw0zTx8OFDvH79Gu+//z6Gh4dbtu5+LLrXdR3Ly8vQdR13795FLBbr9i4RRBmHiTjVs09++vRpQ/vkXqQXBcvabhZ/sr6LkgDeGgpDYQqKXEBjAn5VcZpCAkBIU2AK2ZhRwBBAiVsRlGpPY7VKJoSQKVVWEKF6qpYQUMHsqEf1a86qNWlkYVwplirW0SCdrP4WyrcmhZEMwgjnX8Kpi1GYHc1pXLZvfVqIGveEgKKoCAZVBINBDMSt6IJsYPkmlYZe1OFTFUSiUUfAONEgISA8MEZoNa0ouAeslLB+cEQkwdIhGvVWOQzyAm62A2omk8H09DQ0TcO9e/d6Lo3BC9GHynPY6vqLfiu6397edlLmIpEIiRWP0E/XWCs5yvP4sPbJvdhputcEy1Iqgz/d2EPJFJg8FYGiKhAQCCoMjJWLFR8T0BTA4EDJ5cYVrJXSZdem7PcKsc6N4BzcNKzIhn1/ydWVOYIx1ExXYgJQFcuRDHDakuw3T4RjMubO2dr/pfPXVn1X9dfDYTmQCbD9wn8hrYjde1IebhJ2tKaZ7SmKglAo5IxXjFIJxZKVQvZ6cwumYcDv9yMUDEBhQDQS6alrtRlaYWkMUA0L0STN9lY5DFKkNFLfQgisr69jfn4e4+PjuHr1ak/O+HXbJezFixeYm5vDxYsXce3atbacQy+IslYghMDz58+xuLiIq1evIhwOY2lpqdu7RRBtp5F9sqZpjngZHBw8tPV5N+glwfLw9Q7+fDOLEheYGAzDryrwKwwlzqEoKky7GaFPtQvtFRV6xSNXU3AgpUvYxfYBy6cYsAvtrWwxAQOW4K1lUSzs9LJ6UwVaRapYeVRDpnm5VuiGWyLBzmRzhI20O3brm2b6tjTzbavAwUgOc6eUCWc/FVvECDD7XB7l/Smg+XzQfD5EwlZqU6lUQrFYxPrqCl5vbEBRFCc1s1/qy1oVYaEaFqIhrUoBq0QOmOulSRmGgbm5OWxtbeHWrVvOLGAv0q2UMJlG9+rVK7z33nsYGRlp27YURUGpVGrb+juBaZqYm5vDmzdvcOfOHQwNDWFzc5Nm9T1Arww6O027rs1q9sk7OztIp9M9ZZ/cK4Llmy/TmNvKwRDAhXgQg0E/TCFQMDhifg0GF/ApDCZjKJkcYZ92IIqiQEBlquUGBliOU0KAC0BRgFItG2LOodZpB+A7UPNSjmNxfFTYfnNH4Q7rWEa/UJjYj9Aw+bfqmWMKqh9ixeYgGjiHWULJdlSzfyDsIntV0+w9cyRVcwdZgc/ng19TceOttzB5/Tp2d3eRTqed+rJAIFAmYHqxv1IrU8KohoWoyWF7qxwG6XdeaxC/s7ODZDKJUCiEe/fu9cRMXj26EWFxW/DevXsX4XC4rdvr9QhLNpvF9PQ0VFUtc03rx9ocgjgsqqo64mRiYsKxT06n0563T/bKftTia2spLG0XoAuBkVAQZyNBFF0F9YA1OHd+5tPgfnMKIaAyIKAqthsYYLrCG1aEoIboEFa0waxxjpQGNSdKE+N11R1dqbEPtepWrCw0tl+s77iCWWlo+z0c7d81asmCxi5m1roPFuMzAIqqQlFVcAEIYb0XLEHF6tgnVz9JDAJMrkNRkEgkkEgkcPnyZZim6dSXra6ulk0QDA4OIpFIeLLnXCWtEiyZTKYv0rK9/431GO7eKrLArB0P/GqCRQiBZ8+e4fHjx33VQbzTg3nppDY2NobJycmOpNH18sB+Y2MDs7OzVc9Xv9Xm9Dr0XVSn08/JZuyT5cxwN9NbvBxh4Zzjj1a38GyvCEMwJAIaxmIBS5gIgYhfARcMpuuaD2uKnbpl9VGBAEp2/YjTg6UsHQzw1ehyD1jRk7wrauFGCEBVUdviGNZ260VXlEZixV6mHtLCuPLOdzuCCdhRJb6vM5isQ3Gtv6mhcx3nMGlQ4I7AOEEhIet37DPClPoRGF4760JVVZw6dcrpjabruiNgHj9+jEKhgHg87kRgvGqQ0cqUMIqwEGVwzmEYRstTwKpRKVh0Xcfs7Cz29vbwwQcfYHBwsC3b7QadSgnjnGNxcRHr6+t45513cPbs2bZvU9KLA3t389F33nkH586dO7AMNV30Bl4ddBLetk/2qmDhnOM/r7zBWkaHEAxhH8N4IgLBGHwKoDIFBnfK1AFYdsSMMSjMcgIz7aYqvjp9UWq5hQF20bk92q52jvxKnX4saEEqGFzRkTo017fF5QrmSikDyiMxwipGqWlE5hYiVX9vd7GvZ4cs+8SAc6tfjuB2n7p9NzLGzUOdOb/fj5GRESetO5/PI51OI51O48WLFzAMA4lEwpkkiEajnrjumzVWqoesp6MaFgIAynqryAd8uy92t2BJpVKYmZlBPB7H1NRUT+Zq1qMTKWH5fB7T09NOM81Oz0b0WkpYsVhEMplEsVis23y0XwSLVwduxPHw4rVZzz55eXkZc3NzHbNPrm1D2z1M08TvLr/B65xV88cYx5XBAac/iikEVFdhN4OApjAoCitzCZO/UxW1atqWyqpER4SwxtnCXUtaAjfdS1pDf7PCEMsdK2AC4IoTazgQyQCsxpWod+5rCKWy42tCrMj6lzqbsYwDpLGAbWtsxZXkUVmCgjVIcRMCELyO4nFtk9kpYkKm49n/UQSHUvUbax7pPjY6OuoM6KWAWVlZAWPMES+Dg4MIhUJdef5TDUs5JFiOiTsFDEBHxApgDeINw8DS0hKWl5dx/fp1XLx4sS8HVe0ezL9+/Rqzs7M4e/Ys3nrrra4Uv/aSYEmn05iensbg4CBu375dNxe4l46rn3HSLzw4QCfqU2mfXCwWkUqlqtonDw4OItJCe1evXS8lw8B/eLKJVMGEwhgMIXDzdAxhn4K8waEyWAX1whIcjDEUDY6gpjpd6t0ENbWGhbHV5V7AGmBzWAX4dkYTAqpiWSED4EwBVAWGy9LYia7UOH0aY679EWX/A6w0LwMAM7htFcycSIe0AXNcwWpGKhrX0DTtClaRmrZf2+9Yl4EJu7hf7AuYSkzDgFKte30FtSIwTIhji5UD63QZZFy4cKEswrmxsYFHjx7B7/eXCZhO1QW3UrBQDcsJx91bhTHW8ZmopaUlCCHw8ccfIx6Pd3TbnaRdKWHulKZud2HvhYG9EAKrq6t49OgRrl27hvHx8SZm+PojwkL0N7000RMIBDpmn+ylyKJumPh3j19jWzfBmIKi4LgyEEZQU5E3OCAEon4rVY4xQDetgoywT6sqVgLqvqiQdSCmEDCEQFBR7CL9ig8yO/LiGumLilG/v1bzSBulWuTGhXt9wqmTd4kaYQkRkwHgwipaZ/u9WuywBNQ6qW4SFfX3BbAtiZu4BkSZOHJHYZw1wTSNxteTEDVdyFTwlnWaqUVlhFMW8Fc6/Mn0zMHBwbYV8LdCsOi6jlKpRILlpNKO3iqHYXNzE7u7u4jH4/jwww97wu3iOLQjJaxQKGB6ehqGYdRNaeoUXi+6lzbZqVTqUDVSJFi8BX0X5fT6+Wi3fbJXBEteN/Dvn2xiWzfAoKBomjgXCWAg6HOK6mN+K1ripH0xZlsKV8YRLFcwgIFz4URGJJpiRz+qHLYQgHagrkWA2fZaTNQf3FeKm2poSgMRIQAmRRHDwUiOsCIRnFvLMexHZliFo1gzb5xmmlEyHEw9Oyj3OAwurK709omoPFXuVLBKVNF+sVKNygL+UqnkpI89efIE+XwesVjMicDE4/GWZWmYpnnsFP9sNgsAlBJ2EmlXb5VmcEcEYrEYzp492/diBdgvSG/Vy3NzcxMzMzMYGRnBzZs3PdH/wMtF95lMBtPT0/D7/ZiamjrUjK3XhdhJwgsDT6K9VLNPTqfTSKVSR7JP9oJgyRR1/LulTezqJlRVQU43MBTyYSxuOaf5FEuYlDjsEbkFg4DfttBlsJo/CiFQ4gI+TYXOqzxvhYDGahfaB9WDhfRWnQ+cfan3tPMpaBgjaCRq1FoWyy4UxbIzdl4prg9Y58IWMvt5ZdXXUx4iqUo1sVJrSVXTAEVx1cLIHjHyv51LBTsqPp+vrIC/UCg499jc3BwMw8DAwIAjYI5jUd6KCEsmkwFAguXEwTmHrutdiarkcjkkk0mnKPzp06cnZiDobpR5HIEmhMDS0hJWVlZw48YNnD9/vlW7eGy8mhImLZ4vXLiAa9euHTrt0ctCjCAk3R6Utwv34Ooo9smHEixCQHn0CEoyCQSDMKemII7ZsHivqOO3H29ir2TAp6jI6gYifhVXBqPQbMcvU9imvBW7GfHZPViAsmL7gKvepJKaNS2wa0aqnAthD/i1BqleDI0jGlUL/d3rEGjYK0WB3XulBjLyYQpANqRxRIz9x4riNKFW0DjtTK6fy8p51zksTyPjdg2M2Bcw9qK1v5XuEwwGy1I0c7lc1XtM/gmHw03fU60QLLLg3mvmGUeBBEsTyBQw6QLWabEiB42jo6OYnJyEqqpO0f1JQN6wxxnQu12tPvnkE8/lc3pNsHDO8ejRI6ytreHdd9/FmTNnjrQed7F3vw4KewkSjyeXo9gnN33fGgb8/8f/Ae3f/3uwXM5ydhoagv7jPw7zs5890v5miiX8fx9tIFMyoSkqcoaJoKbi2mAEEZ+CgmFF3WOB/RoVYRfL+xSgWFa4Yh2DUsc1q7I2pRJfTYtjYfcsqR/5UFn96EsjsQJYfVsa1b8wVpmKdXCZyt87AsZVKqMJAUURgLCEYbUC/2aiK84ydpPHWilm8vyV18EI+I5t/tw5GGOIRCKIRCJOAX8mk0EqlcLm5iaWlpbg8/mc+2toaKhuxkKrBMthRJKXIcHSgG6mgJmmiYWFBbx8+fJAX5BudH/vFnJm4KjHu7W1hWQyiVOnTjV0teoWXhIshUIByWQSpVLp2BbPvS5YenGfieY5yQKuGftkVVVRKpUQj8fr2idrv/3b8P3f/zdELAY+MgJwDvbiBQL/6B8hf/MmxPj4ofZtJ6/jt5deW2lgjEHnHJrCcHkghIhPQ8Gw61YcsSLgUxTopkCJc6iKgmrKw4quVN+m30lV2n9eyTUosBzCpCSRaVtCALpegqYwGAee3/sRAgUuMcIAGCZQLAKhIASz9rVhg0jUFysAoLEmCu2bEUa2K5g8t1L7KRBOLxsh0LhrJQD5Pch7rdoz1Q7qHEBBk80qPYqiKIjH44jH47h06VJZjdna2hrm5+cRDocd8ZJIJMp6LLWiD0u/WBoDJFjq4o6qdMquWCLrBjRNw7179w6E6lVVRbFY7Nj+dBN57g/rFCaEwNOnT/H06VO89dZbOH/+vGcHoF6p9UilUkgmkxgaGsKdO3eOLe7cYrNXQ9JevWYOS78cB9Eeqtknz8zMOIYb9eyTtf/4H63ZcWnGoaoQY2Ngz55B+8M/ROlv/s2m9yOV1/Hvll5jTzegMAZu156MhPwYCPqdwXNQY+DCGqQXOWAY1vMz5lOripKAwg78nMEac1vRFas8nwv5dydsg6CmQq98PruNu1StyjatUIYQAn6ZhmYYUL/551AeLVqiJRiA+c67UN55G4YTp5FZU3YfEimW1PoRHKvgv+6pbSotrR5Wgb+Awe30MVPWw1hFMQcjMPtCRM4NVD6GakVpGACfR+pWWkW1GjPpQPbkyRPkcrmyHkuGYbSkhqWVVufdhARLFbrVW0Vue319HfPz87h48WLNuoHKTvf9zmEjSrquI5lMIp/P94Ttc7cjLEIIrKysYGlpCZOTk7hw4UJLrnnq/0H0Av3wMm81gUAAgUAAQ0NDGBsbq2ufPL65CVSmttjvLbaz0/Q2N3NF/LulDeRKHIrCYAoG0+AYCGhOkT0AqAqgKQp0k6PkGuyGtOoRFFnMrdhOWRyAwYVTkO/XVPAj1LUAABMc9Wo9/Mp+Kpn61f8KZfXZfoimUID2tT+BKOkwb9/Z/5Bw/mN9DgIlk+8Xy7uvV/vvqgLwBoqFsX3hUIvKniu1luFwpZLZ4ozZ0kORz31W8Q5wimT2D7PWprQeSgU7Kj6fD8PDwxgeHgaw32MpnU5jfn4exWIRT548we7uLgYHBxGLxQ498ZfL5brugtoqSLBUIHuryMFjJ2eF5UzW1tYWbt265cx0VeOkCZbDDOhlY8NEIoG7d++WhVi9SjeL0w3DwOzsLHZ2dvDhhx8ikUi0bN39IFgMw/Bkx++j0MvfA9F53NkFbvtkzjl2dnaQSqXw/PlzsFOnMLq0BCMahc/ng+bzgek6mKLAvH69qW1tZPL47cevUeACCoASt1NiFIErgxEotuBQmSVWihXewwqTNurOzkNRmDOA1k1edQgc0BTHGrkSFY17qghFrSl4mRAQdtoU296G8uyZ/Qu5PIO2uwvz4UOY734KqPquEk6xv1kZrrB/rzHAYLJUvew/+/sCu0anDjICU1co2IKvqu2z/cfkwkkbk2lkJjcOfESpEV1RIKD2WXSlGSp7LH31q1/F0NAQ9vb2sLq6CiFEWf1LM7UpmUwG4XC4Q0fQXkiw2AghysRKpwvrd3Z2kEwmEQqFcO/evYbWsSdRsDQ6XiEElpeX8eTJE1y/fh0XL17smZnTbkVYMpkM7t+/j2AwiKmpqWN7vlciz78X0t2OwsbGBmZmZgDAmU2u5qbUC/TKvdBJSMDVp1btmaIozsBpYmIC/H/+n6H8rb8F/9oaiuEwdMOAv1CA/s47yN65g2iDGraXe3n89tJruzbFqplQrWYpuD4UQ8inQmMMecNEtEbKV0RTYQrhuHXpXECYAj5mN1msMjC2ohK1j9+v7te1VENtEAPwuT7PNt+g0iVLyeVgnj4NGAbY7g7EqYOTlFqDYn3Aqlvh7qiMY+Usu93L7dbfX6VB00vYa2hYb+Mq/HfSyEzLrc00uVMfJMoDLg69VGjfLmSa+Llz5xAOhyGEwN7eHtLpNN68eeNEOd0CJhgMHlhPNpulCEs/0c3CeiEEnj17hsePH+PKlSu4cuVKU9s+aYKlUUqYruuYnZ3F3t4ePvroIwwMDHRw746PFCydLE5/+fIlHjx4gPHxcVy7dq0t2+3VCIvbAvvmzZvw+/1Ip9PY2Ngoc1M6deoUEomEJ40ciOYhMVedZu9b5f33Yf7SL8H3f/6fiD54AK4o2P74Y6x813fh9eIisLhY0z55M1u0Iium1cRRZQw+TUHRMHEhFsKZcAAFk6MkhN3npOK7EgJBTQG3e6zoFfuv1Sm09ym1oyv1GkgClpAwUVvUMQiYgjmfF6HggZWpxQJMe/ZbBA4ONhlEw74tbnHgRqZrmbB6mPAKEWNvwNmnWusp2x/RXARG4OBCAgJM9rix+68IZ5/2DQp8rKFz84lAjgdkDQtjzCngHx8fL4tyvnjxAouLiwgGgwgEApidncVnPvMZnDlzpqWC5Vd/9Vfxcz/3c3j16hXee+89/PIv/zI++uijmsv/4i/+Iv7JP/knWF1dxenTp/G93/u9+Nmf/dmqwqoZTvxbVkZVTNPseFTFPcg+TPdw4OQJlnoRiO3tbUxPTyMej+PevXs9kQJWSSfdtDjnWFxcxPr6Ot577z2nAVY7kOkkvSRYSqUSkskkcrkcPvnkE4RCIacZ2KVLl2AYhtMo7PHjxygUCodqxtdNeul7ILrPYZ5H/IMPULxzB8hkAJ8PwWAQbwG47rJPrhT8CEXwB5slFDhQMjgCfg0MQK5kYCCgYTwRQs4uphdCIKjtF7er9kBX58KpSakkpFWPxgCAX2U1xQpQP7Lh1GOgut0vYIsh92dGR4FwGMjnrP3f3YU5eMpyGzt7FqgyqGxkhWztRv1ifCEEuBRN2Bcx8gfMFjSQtbpViucdWKMYTe0IjPtachsEWPska2CAYHWDtxOHHN/VKrp3RzkBOC5/f/Znf4af//mfx4/92I9hYmICgUAAY2NjyOVyx0oN+zf/5t/gi1/8Ir70pS/h448/xi/+4i/i05/+NBYXF6uOIX7rt34LP/ETP4Ff//Vfx9TUFB49eoTPfe5zYIzhF37hF460DydWsMjeKoZhdCUFLJVKYWZmBvF4/EipOCdRsFQer4xOPXr0CNeuXcOlS5c8O1BsRKfctAqFAqanp2GaJqampjqS2+oVB7Rm2Nvbw/379xGJRJz6p1KpVLaMpmllhZKyGV8qlcKzZ8+gKEpZ+lij9M5O0av3RjshAVefQ0+gMAZU9LiqZZ/89OVr/N7aG+jCSmeKR0IwDSBnCIR8Cq4PxWC4HhuxgAaDW1EWQwgU7MYhMX91UcL2fb6qHRgUVju64q/S78R9rWjMGmQzWcVecYqshpYo/7miwPiO74D2+/8ZKBSgwBIOIj4A41v+Xwf2wYqK1FcIWhMpXKrC6qa9CQCCMZQEnNoYhVliUAEcAcPQeFtOdKXar6S4qrOSIGvSKfkEIN+ZzbqESZe/z3zmM/jMZz6D1dVV/N7v/R5+5Vd+BV/72tcwODiIu3fv4ju+4zvwHd/xHfjwww8PNbn7C7/wC/ihH/oh/E3b8e9LX/oSfud3fge//uu/jp/4iZ84sPzXvvY13Lt3D9/3fd8HALh06RL+2l/7a/jGN77R9DYPHOORP9nDdDsFTFrtHqfOopmajn6iMiWsVCrhwYMHTqH4YaJTXkSKlHYOoGQ/muHhYdy8efPYdonN0ivd7mWK3KVLl3D16tWm78tQKISxsTGMjY2Bc47d3V2kUinH7S8SiTjpYwMDAx0770TzkJirTjsivpqmgYXj+FN9D76wHyoAHwDdKOHNbhaawnDldAR6IQfmD8Dn06ApsiBcIOdSJ35bvFQb1Qc1tUzwuAloVtRXrRiFW7bGAibftxO2ZJFrG0JAqAq45VkM3TBhmAKGyWEHKKAotlwS+6lODABODcH43u+F9vgRdMOEGByEOH8eYAcnqZQmoisNIxFCQLZrPMwy0tpZwoSwvgNlX7hUTYOrk1YmhFW7UqsPjArAR7lgDsfN+rl48SJ+6Id+CN/85jdx6dIlfP7zn8cf/MEf4Mtf/jJ+6Zd+Cbqu4y/+xb+Iz3zmM/hbf+tv1V2Xruv45je/iZ/8yZ90fqYoCr7zO78TX//616t+ZmpqCv/yX/5L/Omf/ik++ugjPH36FL/7u7+L7//+7z/S8QAnULDI3irdiKoUCgXMzMygUCgc22r3JDWOBMoF2s7ODqanpxGJRNpSKN4Njtscsx5uM4Ju9KPxekoY5xyPHz/G8+fPj50ipygKEokEEokErly5glKp5ERf5ufnUSqVnF4WQ0NDHffH9/L3QHiPdgiWrZyO35p/gXyJgzNmFbYLy5J3KBHAWMSHU36GYqGAvZ1tKEIgGgkjFwwjEAg4gl8Iy47YrHJJq8xKERPCijDI5C05EC+ZtcVAtX4t7sG8X1P2tykH6FJcCCv6ojsrrxb6UeGbvAEOK+WLwbJGZow5qVIKANMldqrhU9BEfUvjgv2mllEAA3AcCpiwfqZgX6QoDZpfCtsUgNcQWkESK2W0oss9YBXdx2IxTExMYGJiAj/yIz8CzjlmZmbwB3/wB1heXm64jjdv3sA0TZw5c6bs52fOnMHCwkLVz3zf930f3rx5g2/5lm9xWoV84QtfwN/9u3/3yMdyYgRLZW+VTouVzc1NzM7O4vTp0y3ptn7SUsLk8a6urmJxcfFQBgW9QLvctEqlEmZnZ7G7u9s1MwIvCxbZr6dQKODu3bst7wjs8/lw5swZnDlzBkII5HI5p5fF06dP4fP5ytLH2ll/1S/3Sivx6nXpFVotWNL5Ev7V/DqKhkCRWw0ViyUOpjAojCHqV3FpKAYFwNBAHLmSAdUsIV8sIZPNIJ1Ow+fzIRAIIBEOouRTnZ4fgBUJ0RiDzy6YN4WAUaFoQppSM/ICYVsI184lg6gclVecI1b383Y6mf13Q4Zw7HW7lwGYY+XM7MIQAeGsnzf8WpqIrjSzTJUiemGnxJlytzmgKa7zUKUORggBwXnVTfmYJTKJfWSE5bhU68OiKAref/99vP/++8defy3+6I/+CP/7//6/49d+7dfw8ccfY2lpCT/2Yz+Gf/AP/gF++qd/+kjrPBGCpbK3SicbQcrZ29XVVdy8eRNjY2MtWa+MsHTSVarbvHjxArqu486dO1bBZh/BGGu5tbGsxwiHw12NRHm1hmV3dxd//ud/joGBAdy9e7ftTl+MMUQiEUQiEVy4cAGmaTouL8+ePcPc3BxisRhOnTqFoaEhxOPxvuj9QvQ2rXq/pPNF/F9zL5AzBIqcI6Awq1+HwqBzjrCq4uapKAKKgoJpQi+ZUBmDPxiCLxBCHHFwzlEsFlEsFrC9swNzOw2/piEYCMAXCIJpPjBVqRp1AWTkovY+BrTanwWAQBXHMbfm1Rir+3l3sX4tVOxHTniFoBG2i5rGAM4ZGLOL5av1MmH1a1eaXUZVqqdwla1HRmDkyeCWAHHqURgguAlVqz4hEzgZQ5hD0coIy3En4k6fPg1VVbGxsVH2842NDZw9e7bqZ376p38a3//9348f/MEfBAC8++67yGaz+OEf/mH8vb/39470butrwdLt3iq5XA7JZBKcc9y9e7elXtjyQjZNs+8tVff29rC1tQWfz4epqSnPFDG3mlYO7F+8eIG5uTlcvnwZExMTXRW1XqxhWV9fx8OHD7saqVNV1YmsAPtdjlOpFGZnZ8E5d6xgT5061ZLeL177HrzASZnwOQqtmhDbyRfxL2bXkDUEDFi1JwADh1X7EVIVvHUqAr+mImvsZw5EfCpKrkeioigIBoMYjkcgBJDVS8gXCtgrFqHvZgAAA6EA/CErfazy3RioF11pYCHs2BQf+JTL/apBZbpfYXX7ugCWiKi1DGMMXAjoYC6lZFkEWwKBOSLBFACrUhtTfjyoKnb2l2miVsbl+OX+oGmvHwDAgVLJgGkYEJa/snPOAlRoX5VWCpbjjj39fj/u3LmDL3/5y/ie7/keANZk/Je//GX86I/+aNXP5HK5A6LEnc55FPp2pNvNwnoAePXqFR48eIDR0VFMTk62vND2JAgWIcSBwuV+FStAawb2nHPMz8/j1atXeP/99x0nq27ipZQwaen84sWLps9Pp54blV2OM5kMtra28Pr1azx+/Nixgh0aGsLg4OCh73samB/EK9elV2mFYMkVS/iNB+vYM6xogAYBgwOm4FAVBr/CMBTUEAn4UHJN94c0pUysaHZqlMkZcga3Cr9VFeFIBOFIBBCAyg3k9SLy+Tx2dnagqioCgQACgQDCwQAMbgmlagTr9GsBAL+iWFGESuyeIs1EV0QT0ZVGgkarUmMjAOtn9vXsYwwmBFTGreaWMq3MdezV4zLlKDUK5Mv2mTXeZ4UBnCmAqqEkhBOBURng1+i5VI1WCBaZhtyKyfIvfvGL+IEf+AF88MEH+Oijj/CLv/iLyGazjmvY3/gbfwNjY2P42Z/9WQDAd3/3d+MXfuEXcOvWLScl7Kd/+qfx3d/93Uc+rr4c6Xazt4ppmlhYWMDLly/xzjvv1AyXHRd5XP1ax2IYBh4+fIg3b97g1q1bePPmTd8PLo6bEpbP5zE9PQ0hBO7evdsRy+Jm8EpKWLFYxPT0NAzD8NT5qQZjDLFYDLFYzOn9sr29jVQqhSdPniCfzyMejzvpY17u/UL0LscVLMWSgd+YW8NeyXLQ4pyjwAU0RYFPUQDOAcFx+YDLo5X6xIVl3Vvi++5gMb8KvUoeE2OW6PcFAkDM2pau6ygUCtjb28Pu1iYCoQgCAT8CgSD8fv9+ZKRG9MS9P2a14b1TfM/aHl2xtidgNJAZDMIRNIYQMFw7pTCr0F8BYDpRoerrY0DNAvn9/bEFTROXiDsSJSMwIaW+scBJplURlkwm0xLB8lf/6l/F5uYm/v7f//vOhOh/+k//ySnEX11dLYuo/NRP/RQYY/ipn/oprK+vY3h4GN/93d+Nf/gP/+GR96EvBYtpml0RK5lMBtPT01BVtSM9Lvq18F6eR5kCFgwGkUqloOt64w/3MMcRLG/evEEymcSZM2dw48YNT1nneiElbHt7G/fv38fQ0BDefvvtnotKSo/906dPAyjv/bK6ugrGWFn6WK1IZLe/By9CQq82xxEsJcPAP3/wAm/yJhQGGKZA3jQR8/ugACiZBkxT4JMLp6BU5ATFfNb9WTI5iq5XXEhTqooVAAj7yh3DZPpYMBiEygDh1L8UkU6nLJcxfwCBYADxYBBcqR1zqFa7Aki7Y9mXpf75aHTnWX1Z6lMtulKJWqe/jHRJ0xiDwbmdSsagSCc1tp8i1kzkpKnoCuA4qLmvJY0xBKhEryacc8/UsEh+9Ed/tGYK2B/90R+V/VvTNPzMz/wMfuZnfqYl2wb6VLDIAuZO9laRqUsXL17EtWvXOlIs24+CRdZejI+P4+rVq855PAk2zkcRLO6+Pjdu3MD58+fbtHdHp9spYc+fP8fCwgKuXbuG8fHxQz8XvDigrez9Iuu8Xrx4gYWFBSeFcmhoCIlEwlMClugdjipYOOf4zYfrWNsrwq8yFLmAbgoM+H0omhzgHAwMb52OIejbvzZ9dqQib6d8VeyM1QSximBxBsU18CsKDKYgHNYQDofBYDkoFgp55DMZ7G69gaKqCIWCCAZDCAZD0DS5XwKcK9ZAngnbetgKp8g6WYXV7zavKWiiuL1+ShlEjSiPC+auG6mBwmx3MshUMlGmtlRmWRRDscSLqOL4BVjWxqa10Xq7vN/RXoiycVFY9eaz1Su0KiVM2hr3A30pWDopVgzDwNzcHLa2tnDr1i1nBrQT9JNgMU0T8/Pz2NjYqFpb0GoHLS9y2NSpUqmEmZkZZDKZY/f1aSfdEiycczx8+BAbGxu4ffs2Tp061fF96ATuTuKy90s6ncbW1hYWFhac3i+maTqpZDRQsKCIU32OIliEEPhXc+tYShfgVxW7I71VQJ83TIBbDRujfgVnY0EAgE+xismzhokBv1Y1QhDxq2U1Lm7CPle3e3ufFSsJCYCAbpowAbshpA1ToYaiGI7GodvpY8ViEW92Myht7dsnx0IBaP5g1fPAOUexZCBrcCiKNdhnsArfFbaf7iQ46rqDKczqG1PvXB83uuJsyzY7qIUprD6W1vcmnDQy1XFXtWqRlCYjMPKNZl1L1t99jNnGC0QtWiFYisUiTNNsqeFTN+lLwdIpdnZ2kEwmEQqFcO/evY4XhPeLYMlms5ienoaiKJiamqrqhuRuHNmvHCZ1and3F/fv30c0GsXU1FRb+3ccl27UsBQKBdy/fx9CiJrXVL/i8/kwMjKCkZGRst4v29vbmJ+fx9LSkpM6Njg42BeNV4n2cFhBJ4TA//vhC8xsZRHRrFoTYTfy4FxAA1Cyi89vnRuET1EsoVKynu3hGilfzCU+yn9uRVeEXXBe4gJGxecjPgXFOs5gpi1wZHF+PL5vn1woFpBKbcMUAn6/H4FAwLJQtu8ZYRfcW5MyduG7s4/76WJy8+4ULNl0EbDtheuIFdFkdKWxjfF+dKXuMq4VOc027eNhsCJGVt2OJQurirEK9zBLsFgRljAFfBvSCsGSzWYBgATLSUYIgWfPnuHx48ddtUXth0G8dFM7f/48rl+/XjOVjlLC9llbW8P8/HzPNM/sdA1LOp3G/fv3MTw8jJs3b7YkrN6rM/Hu3i+rq6u4ceMGABzo/SLTxwYGBk5c7xev3z/d5LARlv/P4kskN3cR8akwuIDJOUomx2DID9PgyBsm/KqC90YG4FOVMgtjCKsYv1oUJeLXUOK2G5diRWwNDhRNjohPRaZU/T2oMWYLoOrHUOlEJlEUBaFQCIPRMErcyqSQ9S+ZjGWfHAgEEPBpgKbVXD8ge53UTsFSGFA0retQY6zMmhiA5azWKF0MlhBqnA62vy9HXUbKlqIAIDiYAFRF2G5k+xGYyvoWGWHxMauxJ1Ef0zSPPZmUyWTAGPO0wcxh6EvB0s4XkK7rePDgAXZ3d/HBBx9g8IC7Sefo5QgL5xwLCwt48eIF3n33XcdpohYnISWs0TG60+Y6nX54HDqVEiaEwPPnz7G4uIjJyUlcuHCBBqMuZG1fIpGo2vvlwYMHZb1fhoaG+uZFV4teFaKd4jCC5d8/foU/e7UDv6qiZAIFvQQhOBKhAIq6AS6AoKbidMiHaNCHXEVDlJgtSipRYNWNMABFg6Pg/h2zIja1CGgMep2u9ryOM5hw/V7TNGia5hQvy/SxYi4LBmBj45UdoQkiEAjs1142EdHQmJXqJYQ8lvLlFQj4VMVKMZO/rfhOmKjfQwY4GDmptYzZYBmG8nohwazIkgHrIJgAFMYh7AiMFDDCbuhC0ZXmaFWEJRqN9s17sC8FS7tIpVKYmZlBPB7vaudwSa9GHXK5HKanpwGgaTe1fogmNaKeYJHnjDHWcylOnUgJM00TDx8+xObmZtcnErxM5QC9Wu+XVCrl9H4JBAKOdfJRer8QvU2zguXLK5v42to2OKzBvPF8HVo2i0gug8LpEfhOnwKLxiCEwI2ROEoVY2J7WOug2nUTOufwqQr2akRQwlp1i2PA6tBeL7oS1Or3XanXl8Xv9yMY8MMIBbH55g0GBgZQLOrY29tFOm3A5/MjEPAjFgxCcdknV8KAxnUpiowSHbQnVm0RozRR1N+odkUuYzRYRmtgzyxsuzG9IgKj60VEQ36KrjRJqwRLOBwmwXKScDsxXb9+HRcvXvTEBdCLEZaNjQ3Mzs5idHQUb731VtPpJ70qzg5DrYH95uYmZmZmcO7cuUOdM6/Q7pSwfD6P+/fvO2IuGAy2bVv9jLv3y/j4eM3eL7L+pV96v/TDMbSTRufn/7eewu+vpFASAlwI+B4twW+UoOol6LE4QttpZHd24LtyBe9OXjggVgAg6ldhcKtXidVzxQTA7O7t1Z8dDaMrau0ifaCxzXAjfAqDDuv8SGcxYACmaaJYLKBYKOB1KgUIwB/wOzUymubbLz5vopAeVWp33HUlDABzUsqslC5pTyxca2hUjN/sMg3fwhUNMmUExlRUaLy3xivdpFWCpVWWxl6gLwVLK19AhUIBMzMzKBQKnnNi6iXBwjnHo0eP8Pz5c7zzzjs4d+7coT5/UlLC3AN7IQSWlpawsrKCt99+G6Ojo13cu6PTzpSwra0tTE9P4+zZs7hx40bPiblOctjnYr3eL8+fPwcAJ3VsaGiIhGIf0ijC8uD1Nv790muUuFXnFdjbBecmTFguUCKXRyYcQUTP4/TaMobenzgQEfExqyhf5xwF53VmbTPsU6HXKMywCvSr75eV/sRRK7oSUOvXe/hYfSHBIGBwJvOzyn6nqirC4QgGo1HoXMAwSlb6WKGI3d1dKIriiBcEg1DqDEotZ7DGEY8St9KxzLKif+t3ml0T0yhlTFVYw5SxRtEVwK6lqfJzXsjDH6NnRLO0og9LJpNBJBLpm0mZvhQsrWJzcxOzs7M4ffo0bt++7bl0iF4RLPl8HslkEqZpYmpq6kiK/6SlhOm6jpmZGeRyOXzyySc97aPeDsEihMDKygqWlpbw1ltv4cKFCy1df79ynO+hXu+XxcVFhMPhnuv9QjUstZFmE7UGOyvpDP71/CsUDQFTcPhVFXpRh2pyBPN5FMNhKD4fgqYBzeR49/kjZI1vs/KXIEWDgE9RkDEOKg+1Ts2FAlSN1EhCqmKlJNVAYfUbPdbq9yLxq1axvtuq143sNs+Y5drn8/kQjUYhhHDqX3J7u9jZ3nbskwOBAPyBgBUhkes5GFwpp0EdjsEFTDsKw+3j9tkuZe69ZWhcuwI0rpMRFdEVN/puGsqZ/rSWbwetiLDkcrm+cQgD+liwHGeQxDnH48ePsbq6ips3b2JsbKzFe9caekGwyHSm43ZgPwkpYVKw7Ozs4P79+xgYGMDdu3c9bVncDK2OjpmmiQcPHiCVSuHDDz9EIpFo2br7mVbOstXq/ZJKpZzeLwMDA079Sz/N8p00qn1vrzIF/LOZNWRLHCbn0DQVprD6q7C9PRQHBxFiADMNGBx4a/slzKEhgDEEVCsikNFN+BQGUWPAXTe64qtdu8IgUKpzPD6FQTdF2dDbSZ2y3a3qppKViYTqgs6vsqruY9I+2e/3w5cYgGFyx31se2cb3OSOfXIoEADz++s2ZvSp1V3V3DgRGFipZEUhnIIXBut8aJY3c1ka2YFtKUrD6EotN7OAwmAU8hQBPwStECyZTKavjFP6VrAclVwuh2QyCc457t6962l1qqoqdF3v9m5UhXOOpaUlPHv2rCXpTCchJYwxhu3tbSwvL+Pq1au4dOlSXwzyWhlhyeVyuH//PjRNw9TUVEd6H/XDd9BuavV+SaVSePr0KTRNK0sf67ZhiZsT8/0KAfU//2do//E/QllfB5+YgPE//o8wp6ZqLG4PaivOz3ahhF/55gqyJY68YcCvqZbwMDmywQhiwRAC3KpB4QK4nE3jzF4a5s1PwBhDRt8f9oZ9qtNY0k296IoVvShPnVUVq2BcALYIsnu/2L1JrIwpAQGAqXWcwwCENEtsMNn8EVZkQjaE9Cl213YGgPMDzzYhBMw6UQ/AqtUxxb59sjRRcdsnZ3e2wTQNfrv3SyAYPDCAbfhYbeSEBkA3OQxFARfWSfExBlWx7JWd1QvZB6fh5qoS1az6TBIszWOa5rHPl3QJ6xdIsLiQPUFGR0cxOTnp+ZQGr0ZYCoUCkskkSqVSy0SfTAk7SuflXsA0TaTTaeTzedy5c6evurK3SrDIaJ28P+nld3g6kQLl7v1y4cIFJ2q4tbWF1dVVPHz48MT3fukG2m/9Fvz/9J8CpgkRiUD94z+Gev8+iv/r/wrz058+sHw1wZIvGfjF//YU2ZKJTMnqqRLWVOi6iXzJRDQcBK5ehXi+CsUwEDF0XHq9isK168jdumO1mrfxqwqKZvU6k1rRFYUBQVWF7Gpi2I0ihXwNCoGgT62Z3mQ5h9U+RwyAblpCBxX1IBKrd4v184LJUeQCRcOEqljRGU0BIJjtfCasQXylDbFVVHIAaZ8cjYTBTg2hKNPH8nls7+xAVVWneWU4GICB+veNpioN61J8ilJmXlASAiXXudcUBj+zGn/aXTKrrkdB9YJ8H2MIqkpLajJOEq20Ne4X+lawHGaQZJomFhYW8PLlS7zzzjs4e/Zsm/euNXhRsLx58wYzMzM4ffo07ty507K6H3nj9qNgyWazmJ6ehmEYOHfuXF+JFeD4tsZulz4vp2gS1VEUBYODg47VtK7rTvRlbm4OpmmW9X4JhUIdu8dPTA1LKgXfv/7XED4fxPg4AECcOQO2sgLfb/4mzG/9VqAiWlkpWEzO8Y//9Cl2iyZyBodPURDRVOzlimCKgoBPsaIRkTBKE1fB0mm859Mh7r2P/MjBd2pIU6pGV5gtRBisRpIQVkSlaHKYXED4tZqD8LBPrZqKJQmoSs00M8CyOi6YtVfgU8obTcreIhzWgL4EIACGktsNS1iDflVGLoSAyS0pxGpELWSql9/vh9/vRyxmWUIXi0XoxSJ29/awtfkagVDYicD4/YGD2q+Jy7vRk9ngAkxhMDnfPxY7ouUWMLXu2JjPev4LIWhioknk+SKXsHL6VrA0SyaTQTKZhKIoTfcE8QpeKkR3O1rduHEDY2NjLc+ZB9B3YeXXr19jZmYGY2NjUBQFhmF0e5daznFsjQ3DwOzsLHZ2dvDRRx9hYGCgxXvXmH4RyF45Dr/fj7Nnz+Ls2bNlvV82Nzed3i/SOrkTvV+8cl7aifL4MVgqBX7xYtnPxfAwlJcvwVZXIa5dK/9dRdrVr/35Cl5lizDBLAtsTcFeXoffp6FkcvgZEFQU5IolKGC4NHkJaiKMfJWhrF9ltjAo/53GrOaSBhfIGxyiYjgd8VVvLrlP7Sp1KYRqIUT93wN2/QsvPy/uy0djsKIT5TXtMGzRBQ74FQV6yQSEVdzvU/a72wtYg3uzyjvOsk8OIhgMIsEAwzBRsNPHUuk0BBcIBPy2gAki4NeabFrZ+JgdjSePxQRgR6EsJzIBkykHIjAaA4IKc8Yp/fTubifyfLVCsHTjndkuTqxgEUJgfX0d8/PzuHjxIq5du9ZzN5OmaZ4QLMViETMzM8jn821ztJI3rmmannNrOwruGh9p87y0tOTZmqTjcNSUsGw2i/v37yMQCHiiUSvReip7v8jUyGq9X4aGhhCPx0+EwGg5wSCgaUCpBLhNPEolCE0DqkzUuSMs/9eDNcxvZcGYVbAeVhjyBodPU1EoGYj6NKgA9nI6/D4VsZAfQ5Eggqpqp32VE9L2a1d89ji3aHLkDKvmpNYgup5rlizmr0WoTpNJAAho9QvYlZrF+K4BeoWgqbZkSUabmdX3xKyI+PgVQBjWuuS1LoQoEwIqY+CqinA47EyyGiUDhWIBerGIvd09MGEiGI44AkZRq4igmnva5DJs/7syyiIwVnpcVFPKIuy9NsbqFvJ8tcIlrJ8yEnp/5FeDei81wzAwNzeHra0t3Lp1y+kz0Gt4IcKSSqWQTCYxODiIW7dutU1MyO+zHwrvi8UikskkisViWY1PvxoLHCUlTEaeLly44InJhH4ZJHs9BUpV1bLeL4VCAalUCltbW23p/eL189Eq+M2b4FeuQJmfB79yxRIvug5lYwPmX/gLEFVMUeS5+U9PN/HHqynA7gkSYlZ9hs6tvukhTYVZ1AFVhaIq4BC4fDqKmK+6WPGpCgwh4FcYCqaJjMt/OOpXUayRshVUlbpiwKcoNT8LNE59Yg08hK3tl//MnaLMIOqmo1n7WF/QyP3QuShbjsGKSqmMWf1WqtSuaD4NUV8UiEbBIFAs6igUi8hms9je3oamaU7xvt/vt9zDGlz/lvkB6qoWBdjvWeNEYCzHuFDIGg+QYDkcsuD+uO8dSgnrcXZ2dpBMJhEKhXDv3r2OuAy1i25a/brrCiYnJ3HhwoW2DuoYY30xoN/e3sb9+/cxODh4oLfPcWs9vIqiKCiV6hmN7uNOLTxKg1GiNr0ouoLBIEZHRzE6OgohBHZ3d5FKpfDy5UssLi4iFAo51sm90vulK/h80P+X/wWB/+1/g7K87MzW8xs3oP/oj1YtpBZC4FFW4M8fbUDYjlEBACqsdK2ApkIRAvlcAfFw0Co8Z8DVkQRURYGmsgP1IgFVgaoAWf3gRJuwHb1qHoLCUKyxgMZQs4Df2m79pogaY9Dr1K7sN2U88GPn1AUaCCoAdY8PsCInVkpZ+XEIwBZjltDTS6btWMagKcqBDvQ+RYGw+7oAlmDQi0UUikVsb2/DNE0EVAWBcASBYLCmdb7KFBgNCmFUxsCrCJ8Bv+r0lJGp3L34DOoGrSi4B0iw9CxCCDx79gyPHz/GlStXcOXKlZ6/ebpVdC+bGmaz2Y7WFXjRZKBZhBBYXV3Fo0ePcO3aNYyPjx+4/o5T6+Flmk0JK5VKznXV680yidbDGHN6v1y+fLms98vi4iKKxSISiYQTfYlGo00943v9PdAs/O23kf/Sl6D98R+DbW6Cj43B/JZvAWoMaJZSGXxlT0N8wE7xsQvfFU1ByKcBnKNQKCES8KNQMhH0KRiKBDEQ8iPu33f5sorNgYxuwuQCmlr9fEd9Ws0Bv8ZqixXAKpYv1nk1aMxqUlkLn8oOpGa5CWhqjUaTVuk80FiM+JT6KWtymXouZu7tcGGJmKLrnSh7qhhWSbwjNRRFQTAUQtC2TzZt++RCsYhMJgMAB+yTFaDuOQMAJgSqVV0yAHHf/oC7FRa9J4lWnS9yCetBdF3HgwcPsLu7iw8++MBxq+l1ujGAT6fTSCaTGBgYwNTUVEebGvZqhEWmIKZSqbrXX68eXyOaESyZTAZ//ud/jnA43BfNMr1KPwniyt4v+XzeSR9bWVmBqqqe7f3SNQYHYXz3dzdcbCtXxD9JrsEQgKoyCM6xq5sYCvnBhQA3DJh8v4O6X1MQUBVcHIoAQkBRGJh9qe3p+0PaeEBDoUpXewB1045CvnrpXvVTsVQFdcUOIBpGRhSGOhEWBr9Su+5GwuoYAsiVNW4CWbs/DWDV2DAFyJescYHGAE2xolpwNYUM+n1QNQ1hW6yWSiUUC4Uy++SQ34dAKIxAIFBz8KzVaFwZ8ynQlP0vtN/MctpNKyMsJFh6ADlrJgfY8Xi87wp3OylYhBBYWVnB0tJSzQhBu/FCzc5hkYXjPp+vYaPDfhYs9Y7r1atXmJ2dxaVLl3D16tUTM+Pdafr5vDLGnALk8+fPO71fUqkUnj9/jocPHyIajTrpY7L3Sz8JuFZRKBn4hf/2FOmiCZ+mQNcNcABDIR9KJgczTJgAioaJoXAAusmhcWD8dAyKoiDuV2BygWyp/FmtMVa1pgWwC+JrCBIFKOsLUklYO6aVsaqiWOf5pDIZGfn/s/fnUZKld30n/Hme526x51b7XtVV3dWLutXd6u4swQBGQmMMNjN4jo/NAYx9fF4v2GDhc0BjvzCGwfIYrFcseqXXtrA9HmzD4AWwZElYIEYYsakya9+69qquNSMjM9a7Pu8fNyIqMjMiblZVZGZkVn7P6dPdGduNG3f5fZ/f7/v9dh+bi4MlRd8Ux5bmpx9sJfETDkeZRHqAqOM5gYYgjGhF1EsR56LI1js1Z9pM08Q0TbId9smB61Iul5ktFjEtC9u2sW0by7Lai1C9dmvBWlhsbxKWx8MgCEsrwHdzJGwdQGvN5cuXuXLlCkeOHGHv3r0b7oatlEJrveIXA9/3OXXqFPPz83zgAx9gZGRkxT6rH9ZSs/MkaAWRLlc4vlEJS6/CUGvNxYsXuXnzJu973/vYtm3bGmzdJjYiOrNfDh061DX7ZWRkhFQq1c482Gj3hydBGIb80z+8zJVSnZQhma+BbGWHhBoVaRphbOVbsGICYwvBRM5hPG0T6QgvBC9aurCU69NdMaQg6FH9pk21xEq4ZQMsiP8xmj+dRrfzHuN/a7xQo7VoO4zFP7OI+w0CIh2hRIuOCKJm2GOrmO+vTYn3xXJGvfp3eZYTmZIs6leiv1Yn0hAJ2mRSNrtDSsbdl9Z5kEunCFMp8sTHhOu6uA2X2dosURRh2zYp08RMpTANcwGXS6m427bgczdDIx8Lg+qwVCqVDTVavWEJy82bN7l9+zZvv/02+Xx+rTdnRdBp9btShGVubo7p6Wmy2eyad6jWS0EfRREXL17k1q1bjxVEulFF991GwjzP48SJEzQaDd55550N1bYeZjyrHYXF2S/VapWZmRnu37+P7/t87Wtfa4+OjY6OPrMjib/49WucmamSUhLCCCUFjSBi3DYIwoi6F+KYCj+IkEpi6AiJ5tDWPPNeQME2unYSpKBnl8NU3cMaFc1CWut4JKuZau9HUbuZ4RiSWq8RM+LuS6NPlW9JQbXPKaHiNkSbIMkOUhvpuKliiv5kQ2tNoPuT4TgPpe9T4vyWBNKjeoyudaKzUoh0TEAfdWAEpnykzImI64y2fbIGP/Bj/Uu9TqlSQUrZ7r7Yts1Iaum5s9lheTxsjoR1x4YlLHv27GHr1q0bIrOjFzoJy6BvsJ0i8UOHDnHgwIE1X4FcDyNhrusyPT2N7/tMTk4+Vjt2vRCyx8ViwjI/P8/U1BS5XI7JyckNfY4OE9b6/B0WCCHIZrNks1ny+Txnz57l+eefp1gscuXKlWc2++XfnLrBH9+dxxICBdSjiCDSbLEUdTfWodiGou6HTKQMfD/AD0Je2LeFih/yqH2xtGLOW2bvcTAV61NahbIfxULyUENaSap95qRM2V8sn/SzGVLGI1N93r/ehxBVXR9HQTqKUEK2Py/qsA+zeug8Fm5Hst1xEhFZjq1y7yyZGJHWBBHt3yruwMSmCy0CY5omtmUSZbJoNJ7n4bou1UqV2YcPmK3OMt48d1rOfZui+8fDIDpSrYWZTcKyDiCl3PCFUMvqd9BFfBAEnD59mtnZ2aEyKRj2kbDZ2Vmmp6cZGxvjjTfeeOzjb6PO1HcSsffee48zZ85sGKe+Tax/CCEYHx9nfHycw4cPt7NfWvoXgNHR0bb+5WmzX4YRX3z3Lr91baatyWgEGkOADENqdR/HMgiCCD+MyBiSatXFMA22jOdI2/F1Lm+b3a2BtV7iNiVFPL6EiLUuvTQkSoqe9lv9ujbQXzMDcQchSVeSlM0itMbTiqof0WksLGg6dimJIu5qaGJCsOSatxyxvUgW9ZvL6MBYUvTNqoFY2N8qKbp1YCzVJDDN0bpWZ4U8jBgQVUYWOPcVCgUMw9gcvXwMDKLDUq/X0VpvEpZNDA8GLbyfn59nenq6nVMzTCYFw9qB6LTMfhq91LB+v6dFa9Tt3Llz3L59m9dee40tW7as9WY9k9iIhPhpsfhcXZz9Ui6XmZmZWZD90jk+tt5n86fulPi35+4SRJrQ9TEdi5QSNNwQGWocy8D1Q2xDIrXGq3vYjoVhSHaPPyqGegnC87aJH2kMIZAyJhmxc5hgxDJ6khVDiK6jYi1kTKPv4ylDUk94vNGneJfQl/DEz4nQwogrfCnbXRUNeJEm1CFuhztXZ3ZKy0TLXI7YPkHUD3TNQumE1skdGAF9nxNpjRdovCaPVC0CIwRCCEZTFiodO/cBbee+27dvU61W+epXv8ro6Gj7/Ek1bZY3sRCDICzVahVgk7CsBzwrLH5QhEVrza1btzh//vzQrn4P40hYqxtVKpWe2pBgoxKWMAwpl8tPNCa3icFh2M7nYUASgRNCkM/nyefzHDhwgCAI2tkvFy9efOLsl2HBzbkqnzp+nSjSNNyAsVQsnHf9CB2GGKaBF0TYzWV3N4gwTEUQRRzdMdbWWues7k5bRlP7EerFrmGtxPb+7l+1oPf1vm+BvoyuRVJuimPIvuNgQoC8/5DM+fMYxSIoRXTwINGbb6KbXThbLSRF3bJT7GYujSklUsakL9Kd52sy0Yg7MP2fYy9jNM1Sy+jAdASChlpTb37wmGPEXbMOpFIpdu3aRRiGlEol9u/fT7FY5N69e1y8eBHbtje1Y10wCMJSqVRQSm2ojvCGJSzPCgZRxLdyQmZmZnj99dcZHx8f0NYNFsM2ElapVJiamsJxnIEYEmxE0f3c3ByXLl1CCME777yz4cc0N7GxYRgGW7ZsYcuWLQuyX4rFYjv7pXN8bJg61ItR9Xz+8dcu44cRdc9nxDZo+AGKpuYs0nEnAAia1saEGtNSbB/NkLYencudWhBBK/U9IkJTbHSLFoSM3TsoEq37jms5Rv/xp5Sp+hbn5jI0I0kEIPPebayvfe3RH8IQ+e67iAcPCP7snwXVK2zyEQxJmyB0khgp4n1oSIEpBH6HJqYbltOBWQ6NTiJx/Z4z7vS+todhiGEYbfK/f/9+giCgVCoxOzvL1atXOX36NLlcrk1gWtbjzyLCMHzqa0fL0ng9LaAkYbN6WOd42iK+XC4zPT2Nbdt88IMf7JsTstYYpg7EnTt3OH36NPv27ePw4cMDuSgM0/cbBG7dusW5c+fYtm0b5XJ5k6wMATZHwpbiSc/d5Wa/jHUIkIelAAvDkJ/6vUuU3YCaFyB0HEgoEXhBiCEgbVvMzc+jTJMo0uhQU0jbWIZk59ijLmnajF2+zGY3peyH1JrdlBHHJOhxTTOFIOjRYcmYqu9KvyX7j3spIfD7dG9MKQn7vN6SAj9hHEz8wR/G/9FJJrRGlErIa9cwDj+3LLF9NxviSNPu7tgqzoExpcBsCuBBELb0IMsY9ZKCRIJmSLE8LU2X56QNSdro3RHo5hJmGAYTExNMTEwAsWFNsVhkdnaWM2fOEARB25p8bGxswxXf/TCoDstG22cbtoLYSD9SPyilCILuK1hJuH37NmfPnl03gX3DMBIWRREXLlzg9u3bvPrqq+1Z3UFgo4juoyji/Pnz3Llzh/e///1EUUS5XF7rzdrEJlYU/bJfzp492y7AWgQmnU6v2TX35/7kGtfn6tS9gDCKGE9bEEHN87ENRVpJPN9HConnR1iGwjI0QRTxYscoGLRCHyPmvYX3IVtJ6kFIt7V9S/bXp8g+Yncp+mtLlKDve+tlJcr3L95NKfDKlYVkBeL/FgJx/z7G84d7Zss0twQ/4XZmykeuXn60cLtbAnhbPsqO6dWFMaXoa1AAsY10UiWheriqjTv9R7mWY2ts2zY7duxgx44dbYerFoG5cuUKhmG0R8fGxsaGenH1aTEoDctGG7/esITlWcGTdFjCMOTs2bPcv39/XQmgB20w8LhoNBpMT08ThiHHjh2LfekHiFaHZT07qXTuo8nJSdLpNA8ePNgQRGy9Y70eUyuJlTwuu2W/FItFHj58yOXLlzFNsz06tiLz+1qjfud3MP7rf0XMzxO++Sb+d383v3qnzu/fKhL4EVLCSMoiDDRBGJGyDALPB8MmDCPcIGI0rfC8gGzWYddohpRlAJqUodAaZup+149Pm6pnRkraVD07JElWwhlT9RXLpwyVIMZXfbsNAp2o4zCVJLQsaDQWPtA6nsw+425NWEomkoh+naBIaxqBJmqOt4nmexpSIEVMYmiO94VR/3NfQKLwv5ermhKCEbt/cf24Nr2d1uN79+5d0L1sde4zmUz73NkI5hedGCRh2UjX/Q1NWLoF1m00PG4RX6lUmJ6exjAMPvjBD64rQZaUEt/vfnNcaczMzHDixAkmJiZ46aWXVuTi2FqBWq+EpWXrPD4+vmAfbbRRt/WMjX49fBKsxrm2uABriZCLxSJXr17lzJkz7fn98fFxcrnc042PaY318Y9j/st/Cb4fk5cvfpE/+tJX+dX/6f8FpomlJKGO8LwQJWOPr3rDZyRlUmt4gGgGR4aMp0xShmT7aAZHSdwwotjwmUhZbcvbTvTrgsR5IX0Ih0oQ2yd89cUWyks+P8Gq2DEkjb4CFk0QavSRI8hTp7pqR6znDuEux/mrf+Rkou2yEo+0OJp4n7sdu86SAttodu77fNxyND2mkl1tq0dsY0GgZjdEUfRUhHxx99L3/SXmF4VCod29zOVy6/Ie2sIgclg2OyybGDo8DmFpZWDs3buXw4cPD8089XKxFiNhWmuuXr3K5cuXeeGFF9i9e/eKXQhb77veUoG11ty8eZMLFy5w+PBh9u3bt2AfPQsLB5vYxONAKdXOfgEWZL/cunUL4KnsX+XJk5j/+l+jDQPGxgC4Yab52Z3vw7hzh2DPXupBSN4QKCVxvQApBTnLoNaIc1cqdQ8p4pGjIIh44eAYUsCsGy8aGUL0JBZ52+zZJclZBu4TiO2liHUvUaQxmxkgiHgUSjTHzmTz/w0BulWh65jkaK2RUnTPilmwDcmExgs1vPoqwa1bWMVibGncvMaFb7+NMTHRN+lRCnD7dJEAHJWcq5IUnOlFGtHhSmYpidXqwHR8zeVcnXu5svUT27dfO4ACvBOmabJ161L75GKxyI0bN4CnO3/WGoPqsGwkS2PYJCzrHsshLGEYcv78ee7evTtw3cVqYrVdwnzf59SpU8zPz/PWW29RKBRW9PNaJGU9dSPCMOTcuXPcv3+fN954g7FmcdSJTcIyHFjPK44rhWE5Lntlv9y9e5eLFy8uyH4ZGRlJNLBQX/kKeB40x33rwuB/fes78JRNWKkShRFZJdBIXD9AKUkUaaIwwlSKhhfiGHECvR1q9u0s0NCaTtFFwTZ6jnz163Is6XBojSHiXBJTCSJiHUrYNAIIoqhd++ctg5rbW2mRswxqQe8ufM5U+FGEEnHRrmTceHjUIdCJhKadN2MYPHznHUZrNexiEQyD6MABZCHf7C71Pt8sJWkkEJakTtBytDgSFnwfL4zwOjswSmJLQRj1bcD0NAdIG5KUkby4ttJJ9y375F27drXPn/VsnzxI0f1GwoYmLM9CoZREWGq1GtPT0wghOHbs2LpbaejEao4WlctlpqamSKfTA7EsXg46R8LWAxqNBlNTUwAcO3as53jhs3Aerhds/g7Dj+Vkv7TGX8bHx7tmv4iO66QGfvy1D/GencNWEhkEcUgk4BgaX4MOQnJK4kYaUwkMJSAIieoeRj5HPr9QrxcHDPZw+LKMntoMS8YLMpaIXa68MKIRRmgd38NiEtTrfrYwv6T74/3vD2FEc9u6b1/WVNSCACkEpmq6cjVDEUGjI72g66GBcMcOwgMH2n9bnL3SDUkhj1KQSJzsZXRgLCX76nm8MEIiaTT3q60kZlsD8wi9BPljy+iuwOpODXSePy375Jb+Zb3YJw+C4G12WDYxdFBK9dR13L17l9OnT7Nr1y6ef/75oTspHxerNRLWGp1bbfe0zpGwYUexWGR6epqtW7dy9OjRvqtBmxqWTQwzhr3z1Jn9AvEiVGv85fr160gp28VXyz0p+OAHMT/9aahW+fn3fyt/PLqLQlMTURsZJ0OcVTLvBRg6JrIuEY4VZ7GkpGS25qI0HNo1tqRZMOKYPTsEVsdqvCQeW4r1FSEge+ayKJEktjf6EpKMYdDoc50xE5zJ4FFnKNIaN9C4ix5PmxLPC7CahX0Y+EgRE4wWd0jS0BiSRLG93dQJ9UOyBiZ5WxZ3aTo1MC0RvyXBj+SSDowSghFr+AjLYhiGsWD8cj3YJw+iw9LKYdlI2CQs6xxKKRqLnEo6rXdffvlltm/fvkZbN1is9EhYpx3vWrinCSGGvrjXWnP9+nUuXbrE888/z549exIv7psdluHAWt+ENzEYLM5+mZ+fZ2Zmpu2elM1mGRsd5dC3fzv/7dQ1PrflEGnPxbUdapaDMzGOqSQVL8QWgoYfkDclylS4XoAtoFh1kUKwZ3sO21p+4WRKSRBpbClww4iK/yjLXjRdq3oha/V2FYN4TKwfZMLjjpJU+1xb45T3pGuvaLpzRTSAagiWH2KLACUgZUj8SLa3NeYlCzfM6JM/00JSB0bQ39o5/pzeXbAW+nVpWiJ+kLhhgCDW7xhN4pG3ZDMTJhmD1rA8DYbdPrnlFDqIkbBhDQF/UmxowvIs3KAXj4TV63Wmp6fRWq+I9e5aYiWL+c791rLjXQsMM2EJw5AzZ84wMzPDm2++yejo6LJetxEIy0a5lqz332HQWO/7Q0rJyMgIIyMj7eyX1vjYv/rQd/Ar2x8S1BtklcTP5HDGRhGGRSjAQFN3A9K2EetGwgitodQU3eeVYiS3tFjLmsaS7oqt4iJWCZhtdO/45yyzb4ejXzdACfp2X6Sgb5AkJAcnWkoSRL07+EqIrl2lluA/1HGXpdKhsRHNxHqrGfiogQTpyrICHG0lEsfODCUJnlInA49M0DSt3yB+z3255Y9JD6uRTD/75Nu3b6+JfXKrnhuE6H7fvn2D2KShwYYmLM8COsek7t+/z6lTp9i+fTsvvPDC0KxoDAorNRL28OFDTpw4wbZt2xLHm1YaQoihJCwtLZSUksnJyceywx5mErZctArb9Uxc1vO2P5OIIuSpU8jr19HZLOGbb0I+3/cllmWxbds2RKbAfztTxt1ukRWaqhfg+z66WmcsJ6nXfAylsEwD7QVYjkW14SNoFrpRxKG9o7iet+QzHENS9cN26nrVCyk2rZNzfUaE+i3GpwzRN/skbaq+hCXpcScp80Qni+1ThlzSAdKLgiMXEw2taXdjABxDEESP3LqEaDmYPXoPU/bfFwBRX4l8c9Qr4T0EyTqZ2DZ56XMcJSnYyxeur7ToflDotE8G1sQ+uXWv3BwJW4pNwrLO0Uq6v3DhAjdu3OCll15i586da71ZK4JBj4Rprbly5QpXrlzh6NGj7N69e2Dv/aQYxrT7FqHbsWMHL7zwwmPfeDZCh2UTGxdDSeQqFaxPfAL1h38Yu30BevduvB/+YaJXX+370iCK+IdfOcfDhs+IbRKEGsOQKMsipwSVuotCU643MLQmnXYoleukHIuGF2Aaktf2TiCkXjLB1RLLKwEl16fzCQXH6JlfYinRd9zLNhSB3/vxhIZDtyiUBTASkt5TpkoW7Hf5EI1u8xVbJRMNJQSujqgHIfWOv5tS4hgCJZpBkYuI0IL3INmaueXw1g92giA/3q7utslb049nQjOsHZYkPI598ujo6EAmM1rk7mmvS5s5LOsMQ3kjGjDCMKRcLhMEAZOTkxvOFaITg1yp932fkydPUqlUePvtt8knrFyuFoapG9GZQfM0hK51Hq7XQMyNhE3iuBDDuj/MX/s11O/+LtGePZDLQRAgr1zB+vmfp/FzPwd9rvP/5KsXeHe2io5irYUhQRiStIwzTLLpNJ7nM2oLIj/A9wKiKKTeaJCyTWzHYaLgUKrWaRESBViGRAnRkWy/8FxWQtI1RZJYMF/1+7l/9SEzCdoSUzZHtXpdWrTGSxiNUlL02vT2Z3QlAB0ZMCppvErrniTCjyJ8L3ZtawQRUggcJTGVRLIwLNNU/bNXoLVNTyfIBwh6PGdr+vFsgdcrYVmM1bBPHoTgHjZdwjYxZHjw4AEXL15ECMHk5OSGGwFbjMcJyeyH+fl5pqamyGazHDt2bKg82YeFsARBwOnTpymVSk+dQdNp17xJWDaxiQR4Hup3fgddKMRkBR5lfFy5gpqeJvyGb+j60v/71A1+93qRCDAjcCxFxQ9RQmNJQSPSEAUIIXAjyFkWWoQYqnndiUL2Fwxu3LmLEBJTaLTboIwBXhwI2Q2WFNR6EpK4IO+FnGX01WPYhqTWp/uSMhTVnlbI8bhYv+R6gU4McbRVl3Ew9KORsD5kpL2dpkrsaLTE+pHWsb1z83sJ4v1gK0mo+w+ELUeQr0SyTsaSoqvup2AZbc3ScrFRCEsnFtsnh2FIqVR6avvkQY3PbRKWTQwFtNa8++67XLt2jb1793L37t0NT1ZgMMV8y0nn4MGDHDx4cOgK6GEgLNVqlampKSzLGkgGTadd80a7aa0nDNuxPiwYuv3iuoh6Hb1YJ2YYEEVQqXR92dTtGf6vk7cQQiODiJRlUGz4pAxFCk3ND0kbktlGiG1IUpGmHoY4tkHDC0hZBvu2jfPczhHcIKBUnOVBpcH8/SKR57E9dJktjGC1V44f7bespaj2IBVZU/Udx0rqTCRpMZLDE/u/f8pUiSGOXT+j+SfRdAerJ2zncgy1ehE3TayFiTTMNcmIrWICo6RA60ff0FqGJXKvUa9O9BLkP253BYbLJWyloJQaiH3yIDosWmtqtdomYVlPGLob0QDgui4nTpzAdV3eeecdoiji9u3ba71Zq4JWMf8kK/WtRPZ79+7x/ve/n4mJiRXayqfDWovuHzx4wIkTJ9i9ezdHjhwZCMHoHAlbjygWi1y5coV8Ps/4+Dj5fH7dXlvW62/wTCGbJTx4EHX8OHpsrK1lEKUSZLNEhw4tecmDco3/46sX8dHUvTgEsuQGOIak4QakLYUtJTMNH0cpGg0fxzYxDRGTFdMga5vsGssQRJp5L6ISSUzLZPzOHeTp00yUS1SzOeqjYzx46UWMQgHbduLcl6h3gWUqidfDfUsK+mpbYpvg3sesJWVXUXgLAhK7GjLhXLZV921oG3Egehb3j7ZDJ7p6pZRMdDozpWgn1ceZKY+eb0mJY0h0pBMHwnqNerWhu3fFlBCMO48/Dqa1fuYWq5Zjn9wiL532yZsjYb2xoQnLRsPMzAwnTpxgfHyc119/HcMwqFQqqxKmOAxoncSPu1rTcrgSQnDs2DFSqdRKbeJTY61E91prLl++zNWrVwdu3LBeCUtn5szu3bup1WrcunULoJ0yvhY+/ZsYHIbymBSC4Lu/G/Xuu8gLF2LS0mggajWCb/929HPPLXh6GIb8r186Q8kLqbgBNhCYAlsI6g2fiVQsho90SNpQ1Ooe446FrzUqEqRMg8gPePnoDixDUqw/siVOXb+OOn2alNugli8gtCZdnME5cZLZb/omqtUqjbkiVcvBdmLyYllW+5yXQKPPuFbOMvoSFjPB4tc2BLU+415po797mED33b7lbIMQyaQoZahEMtJHAtRGP7G9F0WEvqas45SXFoFZ3IFJ+j4Qj59169KMOcays1daaC3APWuEpROPY58Mg9lXm4RlE2uCzmLyhRdeYPfu3e0bQkvX8SzoA1on8eMQlgcPHnDy5Em2b9/O0aNHh/6iuRYjYUEQcPLkScrl8ooYEHT+busFizNnOt1fWkF9rRtNNpttk5flzimvBTb69WEjIfrAB3A/9jGM//yfke++i962jeDDHyb4s392iXvUT/3OeW5VXeZdn4wUWKZBGGr8MCRjSObdeOxLeyFuGGKZBn4QYqcsdBgR1BocOLCFchCyIINea1LvXo7tiqWmLJvXXBkh5+cozM+j9+5lxJIUK3Vc16U0O0sURVi2jW3bbM1n8LVuC9MFsWNXq+aNtMZopsSHUTzyFGpN1PzHD0OCSC9wARMi7mqopvtgpDVKCKQUSOKOSbum1hpTxu8foRfYB0OyHTL0zm9pkd2UoRK7J33yMoGY2CXpaJxluHo5SlBtEjgvivC8R8+3lcRREilYhiS/Ox7XHQw2CUs39LNPfvDgAb7vc/z48Se2T46iaHMkbBOrD8/zOHHiBPV6vWsx+aRdh/WIxyl8O3U+L774Irt27VrpzRsIVpuwVCoVpqamcByHycnJp9ar9MNQrmZ3QaPRYGpqCoDJyUls28ZrWssKISgUChQKBQ4ePIjneW2by9OnTxNFUfsmMz4+/lh5NZtYGwwrkYveeAPv9dfB92P9SpeC799OXeOPbxepBhF5wwA0fhCihEBEESEC2zJx6z6WoQi0xtIa0zbRrkcYQWY0QyabYswxqXQUuPg+qtFACEE93VH4CAlCIOfmQIIbxe5Jrc51EAS4jTqBW+e927NEQmE6DtKykaaFbBIfS4q+dsVZqzuZiC8jGseQfYX+UrQs1R/9zZACUwpMFafRa60xZEx8unEOW/XuRrT+mjQOJgW4fbpAEHc0koiTTHAyA+j3Ma0RMiuQBFo3NTACiYizYJrP65XPYklJwXr8GmOTsCSj0z45nU4zOzvLxMTEE9sn12o1tNabhGU9YVhvRMvF7Ows09PTjI6O8v73vx/DWPpztUjKoOYehxktb/KkETjP8zh58iS1Wo133nmHXMtpZx1gNQnLvXv3OHXqFHv37uXw4cMrdr4IIdZNFkupVGJqaorx8XFeeukllFJ9t9uyLLZv38727dvRWlOpVJiZmeHu3btcvHiRdDrdJi+FQmHNz9H18BusJoZ+fwgBPRYRjt8u8u9O3qARgS2g6gWkjFhi7rk+2lDx6n/DwzIVDc/HsUxMrQlqLl4z+HHfzniVd3G9rA2FNg3G5maojW/teCDOCdHpNCOWQdWPMKXAkIIw0oRSoq0UjpNCE1+PG65LY26eIAgwTQvbttmWzxCiel53jITRI1MJ3D63goy51AggiDRBpKkHUQeheXQM2IbCan4XKQSGkPj0uB5rvaxxMGcZ2pRELCPYMs6aSQ6/bLmZxQQm/rtobqepJJYCN2BJV2giZT7RPWJQuSLPCsIwxLKsp7JPrlarAJuEZRMrj878iyNHjrB3796eJ3tr1eJZ0bEkFfRzc3NMTU2Rz+eZnJwcKsvi5WA1RPed3adXXnmF7du3r+jnwXC4nyXh9u3bnD17lsOHD7Nv377HvsEKIcjlcuRyOfbv399u88/MzHDu3Dl832d0dLQ9PjaIkLHH3b5NbAwUay7/6LfP4gaaMIyoa9hiG1RcHwVEhiKvJFEYIYQgCCJs00AFPpFS1KIIheTwgS0oKRmxuzhlCUFj/37E6TkIAjBU3N4IApRpYB7YRxjFY1sVbynxy9kmZS9sCvMd8vkCYRjiui6u2+Duvfu4OhYnO7aD7dgY6lFJUu9jZbwcG+EkpA0VWwd3wA1C3I7/N5XEDyMsFetBDBmPVEU6tjU29MJxte7of94tpwPjGMmWyLaUVHuYGzz6rO7dIA3Uw4h6GOEoiRdGOIbCVAKaY3pbUk92L910h3w8LF58Xq598h/+4R9y8OBBvuVbvoVqtYppmgPRV37qU5/iZ37mZ7h79y6vvvoqv/ALv8Bbb73V8/mlUom///f/Pv/xP/5HisUi+/bt45Of/CTf/u3f/tTbsklYhgye53Hq1Ckqlcqy8i+EEAPLJ1kP6FX4aq25desW58+f59ChQxw4cGBdFmgrLbr3fZ8TJ06sevdpmDssURRx4cIF3nvvvYE6yHW2+TtdYh48eMClS5dwHKdNXkZHR9e8+/KsYr1dJ7TW/P0vnGS26oEhiYQgi6bc8LENSdkPsaWGSOP6AY5l4nk+EjAQVN240zIxmiGXiUcWTaVwF91DtIbwhecpS5BXrmKWy1j1OrWREWb+h2/B1hLdIdBfjKDLKJVSinQ6zXg+ixdGBH5Ao9GgXq8zNzeHUgrbsRnPpPCxED0K3axl9C3gpRR9s1uARF2JY6i2IN8LoyXdiygIcH0fKXScUK/1khE3KcBNIBG2UtQThP/LGwdLCpNcXj5La7/GOTDx3/OWQfYJxsFgk7A8LpKmZXrZJ3/mM5/hZ3/2Z6lWqxw5cgSlFKdPn+aVV1554mvcr/zKr/DRj36Uz3zmM7z99tt88pOf5CMf+QgXLlxg69atS57veR4f/vCH2bp1K7/2a7/Grl27uH79OiMjI0/0+YuxoQnLersRlUolpqenyefzjxVoKKV8ZghLN3IWhiFnz57lwYMHvP766+0TeT1iJTsR5XKZqakpMpnMqnefhpWwtDRiLZvwTCazIp+z2CUmCAJKpRIzMzNcvHgR13UZGRlp34jS6fSKXL+G8TdYS6zH/fGJ/+c8F+7NYTsWZT/E9wIytoEwJCUvIGUoLD/EleBYJn7DQxmKat0lsk0s00AqwZ7t8WKYrUSPFHpNxjKw/4dvpP7ii5TuPQDbQW/bBlKSswzmvaDL65q5JH00GY6S+KHGNE1M0ySXyxHpCM+Nx8fmSrNUA41lWc0OjI3ZMRpnJBTwGUP1+E4xpCBRM5I0khbqiDqK2cajfWAIgWNKrOYIlCVJzGcRy5C/JwnyTSkSyUjKkInmALbq7rq27QmyV1rYJCyPh9ZI2HLRsk/+7Gc/SxRFHD9+nM9+9rNcvHiRyclJ8vk8H/rQh/jwhz/Mhz70ocdyAP3EJz7BX/trf40f+IEfAOAzn/kMn/vc5/ilX/olfuzHfmzJ83/pl36JYrHI7//+77fri/379y/785KwoQkLDG+h1IlO+9TnnnuO/fv3P1ax8ix3WGq1GlNTUyilOHbs2LoXOa8UYblz5w6nT59m//79PPfcc6tO5ofxPCyXyxw/fpxcLsc777zTVSO2UjAMg4mJCSYmJtBaU6/XmZmZaWe+mKbZ7r6MjY0NZNvW2wLOJpbiN07f4IsX7mCaBiXXJwwixmyDehARChHrNmoeuYyDF4T4DZfIUFSqDbanLeo6duY6sn9Lu3tRaI5uPYImbSrKUUjJA6/qQioL+7Mdz4BGn3tOylCU+xCGbsW1FBLHcUilHEw5Stb3abgurutSqVQQgni8zLIwRbrpA9wL/a813cbBlmxjAklIKcnsonMq0JqKF9JiUxlTEUSxQYDZJECdfEAKaCSOg8nEYEtLSfyETo5YhjdYLz6zPfPko0XPgiHQIPE0emQpJW+++Sazs7P88R//MSdPnuQP/uAP+K3f+i0+9alP8QM/8AO88MILfPjDH+ZjH/sY27Zt6/lenufx9a9/nY997GML3v9DH/oQX/va17q+5jd+4zeYnJzkb/2tv8Wv//qvs2XLFv7SX/pL/OiP/uhAjoENT1iGHb7vc/r0aebm5njzzTfbNnePg2eVsNy/f5+TJ0+ya9cunn/++Q2xijNowhJFEZcuXeLmzZu8+uqrXdu4q4Fh07Dcu3ePkydPrhmB64QQgnQ6TTqdZs+ePQtmlK9cucKZM2coFApt8X42m33i7R020riJ5eP8vRL//A+v0vBCIhOkjsX2FTfAtAxMranXA7akLBquj1KSQErcuk/KNqgGEbZtsmNLjrQTr+AKdJs8KBEXx3ONgPueC4ierlMF2+irIekX5pg2JP2S77OmQS0IUYZBxjDirqfWeL6P22gQNqrcKs9jGga2E+tfFmS/LGMcLOn06RwH6wmt+76RAmp+iGYhQVNCkDLilHpLisSuh0yaXYPEXJXljIOZsvtzCpZBxnzyYnOzw/J4GISBUrVaJZPJYNs23/RN38Q3fdM38b//7/87s7Oz/PZv/za/9Vu/lbi4+/DhQ8IwXEJqtm3bxvnz57u+5sqVK/z2b/823/M938PnP/953n33Xf7m3/yb+L7PT/zETzzVd4JNwrKmmJubY3p6mkwmw7Fjx57YUlYpNVTF4EpCKUUQBFy8eJHr16/z8ssvs2PHjrXerIFhkKL71rhTo9FgcnJyxcadloNh6bB0ZhqtluHA46JzRvnw4cPU63WKxSIzMzNcv34dpdSC4Mr1ZiwxbFgPnaeq6/NTXzrDfM3FSlm4QYT2Q5SSSNsg9IM4cV2C74doQ+EGAULHxaoVaKy0RTplsnPrI2v8EcdEa0gZgpm6z5z76BxVAoIe+8ZSconmpYWMKfuSGduQeH0W2LpOYgmBZVlYlsWIPca86+N6Lo2Gy2wpzn6xrTj7ZTybxhOynf3S5a2eehwMAY2wf/ZZylRUunSZQq2p+CEVPyRrxvoVx1DYhkQJsUQLk0Q0rGW5gyWL9k0pu6bb78g8ndV9yyVsE8vDIAnLYoyOjvLd3/3dfPd3f/dTvX8vRFHE1q1b+Wf/7J+hlOKNN97g9u3b/MzP/MwmYVmv0Fpz8+ZNLly4wMGDBzl48OBT3TSfpQ4LwOXLl9FaMzk5ueFs+walR2q5pRUKBSYnJ1d13KkbhoGwBEHAqVOnmJ+fX1d216lUqm1x2ZmQfP36dc6cOUM+n28TmHw+3/Nash4K89XGWh+TAIQh4s4ddDoNzaTrTmit+d++cJLbczVStsm8FyKDEFMKQikIXR9TSequz5hlUNMCPB9DShpegG0ppBAIrTmwe4yW2txR8dr9w7q35DNNKalEGtmlbhKCvvknjqHwvB6Pa913vCkmE32uf1rTCOMV+5STIuU8yn5pNN3H7tyZI5Bx98W2HRzbXlAwZ0zVd/uhf6I8QNZQzNR1395H0pEVj4NFaAT1IFpAouymK5mjBF7C+pUpJV7SONgyTv1uon0BbH9KwrLZYXk8DGKErhdheRxMTEyglOLevXsL/n7v3r2eC307duzANM0F23/06FHu3r2L53lPnfO24QnLMBRKnQiCgNOnTzM7O8sbb7zBWJcb1OPiWSEspVKJcrlMNpvlrbfeWvMifCUwiNGplj3vIMjwoLDWI2G1Wo3jx49jWdYTBWQOy3WkMyH50KFDbYeYmZkZbt26BbCg+7LY1nIYvsMmHkF98YtYn/404sYNUIrwm78Z70d+BN1REPyLr13ij24UETqi5AaklcATcRegNbLlewFp08AHpI4II40bBDi2gRGESMtg944RbMvEURKNpuIFVHuYfI06JuV50fXaMWJbPfUfWuu+3YuMpfpa+OaspdkpC19vdO04GIZB1jDIZzOgoeF5uG6DSrnM7GwR0zTb1slZM9Xz/SHuACXpV4QQaHqPhMkEUgfdc2JaaIU8hs0ujaUEaUOhBETEXZgW/IRzukWM+iHu0ix9nxHbwDGernjeJCyPh0F0WCqVylMv5lqWxRtvvMGXv/xlvuu7vguIf8svf/nL/OAP/mDX13zwgx/k3/7bf7vgN7948SI7duwYSCj1xqv4hhgtl6ZUKsWxY8cG4pENG5+waK25ceNGO4hv586dG5KswNMV9p32vK+99hpbtmwZ8NY9Oday4J+ZmWF6epodO3bwwgsvbKibZ8shZseOHURRRLlcZmZmhtu3b3Pu3Dmy2WybvGySle5YK0Kvfvd3sT/2MUS9jh4ZAd/H+I3fQF67Rv3f/BtwHP7g8l1+Zeo6UmikVOSUYL7hYymFkBLX9ckqSVVrpNZoIfG8AMtSCDRRFJGzDJysw84tOQwpeVCNk0a2Z23m3O4uX6HWPY+XfqdP3jb6ajIsKXH72Hv1GuNqISksMm3E+hen6SxGnnb2S8N1qc0UmStqTNvBtuMRMnPRvSTexj5dIJojZbp3hyVtdB8Hezw86kZ5ocYLH/1WLQITh3UmBVcuZxxM4HXRwTyN2L6FTdH942EQhKVWqw1k+uSjH/0o3//938+bb77JW2+9xSc/+Umq1WrbNez7vu/72LVrFx//+McB+Bt/42/wi7/4i/zQD/0Qf/tv/20uXbrEP/pH/4i/83f+zlNvC2wSllWB1rpdQBw4cIBDhw4N9Ca5kQlLEAScOXOGYrHIG2+8wY0bNzZ04fWkhMV1XaanpwmCgMnJyVUPJUzCWhCWTqJ79OhRdu/evaqfv9qQUlIoFCgUChw8eBDP8ygWixSLRU6fPk0QBKRSKSzLYnx8fN076g0Ca3ktMf/P/xNRq6F3726v1Ot0GnnmDOp3foe7H/xm/ulXzsVhf5EmRFOuBTiWwo40NS9gxFQ8bIrqRRDS0CGObdBwA9KOAa5PoBQvH9pKyQ2IOorSXp2QjPFoZGrxXcqQsq9dsKlkb/ewAYyDJXU+upGpVvZLOp0mYyrm6g3chtvOfjGUwnYeEZgkzUi6aQqgeXKy2yY9/T7HUNR6PKdFYLKmpOJH2EqSMiRSCCIWamCWs4XdRPuDGAeDTQ3L42IQ+6tarQ6kBvgLf+Ev8ODBA378x3+cu3fv8tprr/GFL3yhLcS/cePGgm3ds2cPX/ziF/m7f/fv8r73vY9du3bxQz/0Q/zoj/7oU28LPAOEZa3HYYIg4OzZszx8+HCgoXSd2KiEpVqtMjU1hWma7Y7UrVu3NuR3beFJRPelUompqSnGxsZ46aWXhrL7tNqEJYoizpw5w4MHD57YfW+9w7Istm/fzvbt29Fac+rUKcIw5O7du+1uZWt8bGRkZLOoWE1ojTxzBp3JLBwrsm3QGn3xMv+wNMKcG1CtByhDEgiNZUjcuoeRtrDDiIcNn5SlCCoNwoyN0uB6ASnboFZ1GVOSPXvHKS7qpIylrJ7kIGsbzLtBVxesvG30JCwC3X5PgUZJgRKCVri6KQQRcXcg0ho0zT5GnBbvSIkXaYRodloESOJrhxBgCUEkBJYUIOLXRFo3x6NEorYG4vEoyzSxTJNcLkukNW7TOnl+fh58H2nb7fEx0zSXFPwtPb7u4RImINEyOW2qRMIil1G7tIhGa4SshVj/IuPgyuWI9rsQllHHxFZPf03YHAl7PAxKdD+oCYsf/MEf7DkC9pWvfGXJ3yYnJ/mDP/iDgXz2YgxfZbOBUKlUmJ6ebhfcK7WiuREJy927dzl9+jS7d+/myJEj7QveRndEe9wOy82bNzl//jyHDx9m3759a07Qe2E1NSyNRoPp6WmiKNoQ2TyDgBAC0zTJZrMcPHgQ3/eZnZ1lZmaGc+fO4fs+o6Oj7fGxYevQrSTW5JwRAr11K/LKlYXi7DAErfnZRoELM2XKjQBHSUIlYzLS8BhPW8y7AVpJUoaiXnPZlnWY80IsU2JZBm65Rso0yG7Jk+oy1mNKQb3LZmn9SO/QbXlBL3iuxlKxsxWimZIehDSCqKut8UTKYs7tIZoBRh2DuT7zXuMpo+frLSXJm4qogygBRJEm1K3t1kuKdykEKcch1bxGOEIzU6nTcBtUKmUQot15cWwHKRdmonQ7ctKGpPq0ZETrvjk38XcWPd3YGkFEI4jImoqq75MyFY5SSNES1z/6fKPXOFj66bsrsElYHgdRFKG1HoiG5eDBgwPaquHBJmFZIbz33nucOXOGffv28dxzz63oCauUwnXdFXv/1URnbsjLL7+8xI1ircXbKw0p5bI6EVEUcfbsWe7du8frr7/O+Pj4Kmzdk2O1Oixzc3McP36c8fFxXnrppc3Z6R4wTZOtW7eydetWtNZUq1WKxSIPHjzg0qVLOI7TJi+jo6Ob+3EF4P8v/wv2xz8Os7MwMgJBgLh3j9848Dq/ZY1RbQrsfUOiI00UhFhCMNfwUZZJFIYETUvceT8gZZvoMCSqNvClImcodu1a2lk0lVgUFPkIo47Zc0XeUQqtNbYSNIKIihcsEH9PpCx6Jd+TIMYX0FdsD/TVxnhhRGBK5hvdP99SkoKtiLTGlAKBINQRQbSoSaIUmUyaTCaN1uD5Hq7rUqtWKZVKpE2FslM4th3fh7p1WBLIiEAnZrw4pkoUytuqvz00xERNE+fStLJpJJC2VNw90eB3+b0FsG0A42CwqWF5HLQWnp92f9Xr9Q256LThCctqr56FYci5c+e4d+/eqgmfB2WFu9Zo6TB83+edd97pKhqTUhIEPW6KGwDLIWSNRoOpqSm01hw7doxUqr/rzTBgNQhLa5HgueeeY//+/UPbbVor9LM7zmazZLNZ9u7dSxAElEolZmZmuHjxIp7nUSgU2tkw6XR6w+zbtdSwBH/xLyKvX8f4T/8JcesWSMnFvUf45Df8T9SEwhbgRxECgY5CtB/iWAZVAaEfIIXA9UPGHRNfSoTrE0SaShBhGJJXXtpN1OV3GnUsyj2IhWXINmGRaFJKYClJxQuwleROpdH1dQKo9inCc5bZV/idt42eJAogbSY5d+m+42BeGOGHijlvYYemHeJoSAwpiJojaa1pL9uysC0LcjmiKMKMfIrVBqVSibDZOahUKk3xvgn0J2YQGwPUlyGC776nH8FPCJzsHNHrRARUvJAKIZaMx/PSpsJUMh6zY3DjYBATls2sqOWhde8fBpewYcSGJyyriWq1yvT0NEqpVS0kN8KY1OzsLNPT04yNjfHGG2/01GEopfC8pbkBGwVJhGV2dpapqSm2bNnCiy++uG5WrlayM6a15sKFC9y6dWvo3NGGDcsp0A3DYGJigomJidimtl5nZmaGYrHIlStXME2zTV5GR0eHUjO1LmAYeP/gH+D/pb+EOnWKmmXz964pGl5E4AaxDsSJU+vNKBZWV9EQajTQ8ALSjomvQTV8yoDnBzi2yZHdY0Q9Cs6wRyq6FIIg1E2Hq4DZhk9DGKRFfL11jN7nb8E2+xIW25B9CYtKIMApQy1wyVqMrGUk6le6fX5niGPBNtquaY6SOIbCUgJaNsJSYpgpRkwHNMzNlfB8H9d1Kc/PI6Qk79gIK85/kT32v5KCPkZpwPJS6ZOcv9J9bJNbsJWk7IfMeyGtjbKVYMvo4GqXQWgynhW0BPdPuyBUrVbXTc7Y42DzTjMg3LlzhzNnzizRXKwGWunv6xFaa65fv86lS5c4cuQIe/fu7XuybvSRsF6i+07Hq+eff549e/asq1Xuleqw+L7P9PQ0jUaDycnJpw7L2sh4kuNFCNF2WNqzZw9hGFIqlSgWi1y+fJl6vU6hUGiL97PZ7Lo6LmHtjVn0wYMEBw/y47/2h8y6s9SDEEMJ0rbJg5pHwVTUw1ibEYdB+iglsUyFFYRoIZkLQqQQOLZJNmNzeO94V8vinGUsEYSnmgnrQgjuVh+NFsenq2g/p587mKEE9LkF9XUHQ/d9b0gOcjSlpB8LSC1jxKrTQa0RRjQaLmJ2FiwLXRghbyk84vEyACljXdjIyEjsYOZ5KL/BbKXC7OwspmW19S+2ZdFq3SRpUxwl+o6/AdhK4SeFRfZ9NEY3rZEX6oHYGbewqWFZPgZF7gYRHDmM2PCEZaVvRlEUcf78ed577z1eeeWVtt3bamK9dlg6QzSX6+S0UcbfeqEbIQvDkDNnzvDw4cN163i1EoSlUqlw/PhxMpkMk5OTmyv9qwClVLu7cvjwYer1eju48vr16yilFgRXDvsoyLBYpP/7P3yXqeszeEJgijiNZLYRMGYZFKsuGcvEr9dpzMySqldpKJPRTIrG+ARlz8VxLIIgxDIUh/dP9FxZz1ixcN0QEscQVLyQ+7W4g7I1vbhI1W2JRs4yKPUQvMf6kz7jYGb/HJCsZfTtBDhKJo5Z9bVDBmwpafTJVjGEeJSbokGdOok8cRKaC4F6bBTjW7+ZUm6k/Zr5uo8lQQlQUmKmHHBsjGx8zfaa2S+zxSKaeLwsn3aILKfvtcqUfayhmwgTjluxjNE0S3YX7U+kTFJPGRbZiU3CsnwMwtJYaz2wHJZhw+Yd/ilQq9WYnp4G4NixY2smclqPLmGVSoWpqSls236sEM31Ss6Wi8Wi+3q9ztTUFEKIde14NWjCcv/+fU6ePMnevXs5fPjwqqySa63XfDX+aTHoAj2VSrFr1y527dpFFEXMzc21ycvZs2fJ5XJt8pLP59f9/ktEoxHrUSwLvWdPzyT0Tpy+9ZBf/oN3CQE/CEFDyjZIByGzNY+0baLn5gnu38UOQvwIxmqzVO9LvIaHs2cXDdcnZRns2z3Gjny6p/g9ijSOIZmp+cy6j44FS4qeuhbo3+EoOGZfwmIbikafcS5TSehDWNKWZL6Pe1jaUIkFvp9wz0ibqr3P5MULyK8fh1aSvQYxO0v0H/4jfM/3QpOEazRuJJipx0QuZUj8SJMxFY5hkDIN0ulYvO8HPm7DxavXmS/NoZTCth0cx8ay7AVFareuRycMIZoErfexlTZUolOZrbq7g+3ODfYes0lYlo9Bdlg2Ccsm2rh37x6nTp1i586da56evd4Iy507dzh9+jT79u177GJzo4+EdX6/VkL79u3bOXr06Lq+6A/qd9Nac+XKFa5cucLLL7/Mjh07BrB1zwZWmixIKRkdHW13AF3XbXdfbt68CbCg+7LcRYqVxqD2i/rqVzH+w39A3LsHhkH0/PP43/u96H37er5mrury8c+fpFLzCJUCrbGkoN7wiKTEMRW1aoN8aQYv1NhhgBNpZuwMo16dYH6eYH6EdC7D+HiWfD6FXvR1hIg7JEoI3qt2l3KPONaSEbLWSFjGlH1zRYyE/Zekx6gnjIMlvLypj+n9HpaSPQMYu0GdOhX/R+t7CbA9l7ptI69eJTpyBIj3j5SPvrutJPUgWLAfBZAxFSnLJGtbSJkjE0S4rofrNpifnycIAqzm+Fg2lcLFoB8ZcQxJxe+/8LCsDJcubyGAPStAWDY1LMvDs0xY7t69y0//9E/zuc99jtu3b7N161Zee+01fviHf5hv/dZvZf/+/RufsAz6Jh1FERcvXuTWrVtdbXfXAuuFsERRxIULF7h9+zbve9/7nmh8br181ydFa+Tt6tWrvPvuu7zwwgvs2bNnrTfrqTGIDktrhLBUKvH222+Tz+cHtHWbWAnYts2OHTvYsWMHURRRLpeZmZnh9u3bnDt3jmw22x4vy+fz65uQT01h/rN/BkGA3r49DiD8kz/BKpVwf+InoIsAVmvNT/3m17l+b45UxiEMIzwvxDQNUAYKje/6FByD+YbPRLVCzbapo8iHPqVMFif0oV7FGM2zZ9cYGVNRbhbMSkLWNJite9wrN9ia7V2I6h6pK0LE3YduepjmU/p2VzJGf+1IJiFA0ZT93x+S9S19t59FI21RBJXK0vdw68w5KcRcqeOvC/dZN2KmoS3qd4zYDjptKNKOTS6VIkTj+UEzvLLBbKWMi4xzX5xY/6KUseg9E66jWlNPuEcakqa18sL6aNQxSZuDJRebHZblYxCEJQxD6vX6uiIs165d44Mf/CAjIyP8zM/8DK+88gq+7/PFL36Rv/W3/hbnz58HNjssj4V6vc6JEycIw3CoBL7roYhvhfk97b7b6B2WKIoIw5Br167xgQ98IBZ0bgA8LWGp1WpMTU1hGAbHjh3DsgaTEfCsYa00G1JKCoUChUKBgwcP4nkexWKRYrHIqVOniKKIsbGxdgdmtUYfB7U/1O/8DtRq6BdeePTe6TTy0iXU179O+M3fvOQ1n/3dc3z96gzplEUjiKg3PEYdk7IGpaM4e0XHK+FjtSplw0JEsd1wFEakifBDjURw5PB2hBDkbZOy75M1DGbqHpVG3FExlWCux8iXY7RITrfFPYHXRwA+4vR3B0uZCq8PWXCM/vqUrNXf7thSIlG/0ssVrYWMqR7pV4SEVApqNTr3R9TsfumOIjC2PhYd25EwgiUlDTS1IFrQ8UkZklwmzUgugwHMNeLuS61Wo1QqYRgGtu1g2zYpx6LeO3szfr8EEgiQUopyF9H+7tzgu56D0GU8KxhUyj2wrgjL3/ybfxMhBH/0R3+0oDZ86aWX+Ct/5a+0/3+TsCwTDx484OTJk2zbto2jR48OVYtz2AlLsVhkenqaiYmJpw7z28iEpVarcerUqXa+yrCMzAwCT/O7FYtFpqam2LFjx5qPX65nDJN+xLIstm/fzvbt29FaUy6XKRaL3L17l4sXL5JOp9vkZWRkZOh/c3nzJiwuEEwTDYiHD5c8/w8v3eFX/ugKQmvqoSYMI0Ysg2oQFyxREOH5AYWUSSOIKI+MY8wWaRgWtg7BMal7IbYQHHhpH7ZlIEUstvb8iLuNhaNfo47FbA/CUrANSl0CF7WGjCn7EgIzwR0sSHC7SrLmTULaVMz3IURKiMQOzQJLZQHhiy+i/uTrcXtEgBH4VNJZMA2ijvTwWNMW/3eS7TK0EuaXoh5E1IMIQ0IQaRxDUcjlUIU8fhBSd+Pwyrm5EpWiD1YKx4kJjGkuHR9LsoiG3qL9QetXYLPD8jgYxPjceiMsxWKRL3zhC/z0T/9014XszkXbTcKSgFby+o0bN3jppZfYuXPnWm/SErSE6MMmCtZac+3aNd59992BWfEOOzl7UrQI8datW6lWqxuug/AkHRatNTdv3uTChQsbZjRuE0shhCCfz5PP59m/fz++7zM7O8vMzAznzp3D931GR0fb2pdBm5sM4poZ7dqFunFj4R+DAAHosbEFf35YrvNPPneCwA8xLIUXaqxI40YR0jZwGwFSQME0CZpR7NH4BG6tjuPVSdfrzKWz2BLGD+1mZOcE43ZTo1LurlHpd8X0e3YgNGlD4vZ6VNNOT+8GR6m+3RdHSep9Xi9F8jhYAh8iY6m+HRpYSpqil19GVKvI8+dBa7L1KvPbdhJ8yzeDvbCgF02yECR0cR6NtvU+1jKGYs4LaQTRgjG6tGEylnKQYgSlQ2Yq9Tj7pTyPEKLdfXEcGylVomhfCZqapIXbkrcUeWvwJeEmYVk+BtVhicnscDs0tvDuu++iteaFju50L2x4wvI0N6NGo8GJEyfwfZ/JycmhZaytAzwMw6GxdvV9n9OnTzM3N8dbb71FoVAYyPtutA5Lp4j8pZdeYnx8nNu3bw8d+XxaPC5hiaKIs2fPcv/+/XVr5TyMGBYb334wTZOtW7eydetWtNZUq1WKxSIPHjzg0qVLOI7TJi+jo6ND0e0Ov+VbUNPTiKtX0Tt2gO8jbt4kOnCA8I032s/TWvOTv/bHzNY9DCmoeBFGGBAISco2ma15OLaB8nwiLYgMidvwsWwTDuyDuTmCcgWZcjC3jPHKB48ShZqZSoOxHhqVlCl7OoClTUW1R0GvNXgR0KPWzNtG3w5JxpTNQMLuSBoXy1n9gw+VIDEsUiSkkaQNtdRQQAjCd94heuUVxIMHBI6Jv20nLCq6tdYg4o5G0nbEOpr+z+n1TVsjZAKNKSVWKsVILgtoaq5Lo+FRqVQolWZJmQbKTmHbNpZldb2HpAxJpct+XYnuCmyK7h8HgyIs6XR63dQPj3NPGo7qdoXxJKu7Dx8+5OTJk0xMTPRNXh8GDBthKZfLTE1NkUqlBq432EiEJQgCTp06tYDU+X48oLzRVqV6BWJ2g+u6TE1NEUURk5OTpFKDS11+EqyXC/9GhBCCbDZLNptl7969BEFAqVRiZmaGixcv4nkehUKhLd5/3Bv1oAhc9Prr+H/lr2D8p/+EuH0blCJ69VX87/s+6Fis+fQXT3LqvVl0GNEQAkcJAqkwdUTZD7BNia65aMuEMKLhhjiOief6WKbCGBllvjBK2pS8/fp+5poZKpaSzPYo/gu2xUyPDJWc1X0cDMCR0Ag1do9bimNIAq0xhEAunKoiQhBpja1krP3oeCyeo9KEUUTKkIjm7JUG0BChCXVPntRGrG/pP4aVRCQsJaj18hPIZCCdptLUryx5vLmolETMABIaMMvqJmXMOPQz8MP29xJIstksYyN5ojBCey7FWoPZ2SJaayyrJd53MAxFez93we4+pgxPg412L1tJDIKwVCqVodFXLwctp9iWsL4f1r66HTJorXn33Xe5du0aR48eZdeuXUNfsIhmSvEwjEq99957nDlzhv379/Pcc88NfN9tlJGwarW6IIemRepa+2ujkLIWpJRtMtYPc3NzTE1NMTo6yssvvzw0K3PDfg1YDlYivHO1YRgGExMTTExMoLWmXq8zMzNDsVjkypUrmKbZJi+jo6PLWsAZyG8rBOGf+lOE77yDvHkTbZro/fsXrMr/93O3+fWp60itiYQgZxnM1T0II+yMjfYCVKTRpoFbaWBkHUyIyYqShH6IH0aMOCa7921ZkLNRSFs86KHGbvS5lvh9ZqocCYaI9RlKxB2AINR4UUQjCLlXdXuOdJlKoPViH62Fj9PncbSmaioiHdsWm1JiKoFq3uvQehmEpn+HBvqNw8XIWEaCJXJvAtDC8shI8uiaIZcepxooewHlmLeSNS1GRmwsOYLr+dRcl3q9wdxcnP3iWA6uY2PaC7Nf0oZk1FmZcTCt9SZhWSbCMHzqBd6WpfF6uWeNjY3xkY98hE996lP8nb/zd5aQrVKp1NaxbBKWDriuy8mTJ6nX67zzzjvkulhRDiOEEGueAB9FEefPn+fOnTu89tprbNmyZUU+pxWsuJ5Hplqhh3v27OHw4cMLLuat/95ohGU5xXKL7D733HPs379/3f6+m1gdCCFIp9Ok02n27NlDGIaUSiWKxSKXL1+mXq9TKBTa4v1uN/GBE7h0muj555f8+eFcjf/P56fjEEEvwEpZzDU8ZKRxLMVcwyNnGgRC06i5jOUcZv0Qw1Q4pkG97uEIjW2b5LfmyRUWdh3rPYhHzjZ6FssZUy14zJQCx4j3jx9o7ns+DTegopeqWHKW0Tc/pWCZzPbo6sSPG5T6jYPZRpts+F7IEhWO1liGIohim2DHUBhNQgOxpsSQkt6DVmAuY5Sr33torRHQV4cDsTalnPA5y8lNScqzMaV45HbW+pvlsCWbRQG1RoPId5krzxPMPsp+sW2H50YKK3K9bd3HNgnL8jCIDkutVltXHRaAT33qU3zwgx/krbfe4id/8id53/veRxAE/NZv/Raf/vSnOXfuHPCMEJblFEvFYpETJ04wOjrK+9///qEYrXocrGUCfL1eZ3p6Gq01k5OTAxfFdqKzoB+W1fflorN71yv0sHXTWO8r4YvR7xzUWnPx4kVu3ry5omR3ExvvuOqEUqrdXTl8+DD1er0dXHn9+nWUUguCK1dLlBqGIf/vf/815t2QSt3DlLEFrikEbhgSGZKsqfCCkCiIMA1FyQ1w0haBF1B3A0ZNRRhFqIzFzh0L9VxZy6TSS6NiGTQaPcbBTEUQxSNYVS9gtv6o2E2ZkmoIvYaEUobsH/j4lLWvrfp3RzqJWC0IuwZbumGIROAYEiUlGo3ftIqGpq4kYaSsf8aLJmPKnu5fLSTW6lonEqeUIRMJS9pY+n38SDPb/v0VY7kCmTzoMKLSaNBouFQqM9ydvcnph4W2tfigbMU3Ccvj4VkcCQM4ePAgx48f56d/+qf5kR/5Ee7cucOWLVt44403+PSnP91+3vqqylcAnaLnQTlZrQXWalSqlca+WnbPnXqd9URYfN/n5MmTVKvVvt27Vrdso3VYen0n3/c5ceJEu6s5rMYWGwHr8br2NEilUuzatYtdu3YRRRFzc3Nt8nL27FlyuRxKqTaZXqn988nfnOLaTIVSxSWtJFgGeCF1P2DEMahFGsIIKQRBEJG2FIFt0qi6OCJOUC/7AbmMwXMHt7F4M1O2olLvfr1YXMhnDYUpoOGHzDZ8Kj3GkHJWk8z12CX9imch6KstkYLE8aek4jwmNH0E/cajEas5b+ljGVMRaY2jJH6ku9r8Okr2NRXQWqOk7NPDIQ5xTOjALCc3xVbJhKWXVXHntpTdAL/1PGmSL6TIWooPbrEpzc5y584dLly4QCqVWmAr/qT32k3C8ngYlOh+vREWgB07dvCLv/iL/OIv/mLXx69du/ZsExbP89pF5CCdrNYCq01YOone0aNH2b1796p87nocmWqZEKTTaSYnJxNXdjciYenWYalUKhw/fpxMJsM777wz1DaMz1qxv9EgpWR0dLTtNue6LjMzM9y8eZNarcbv/d7vLQiuHJRRyJdPXOdLp25S9gJytoFQkvmah1KCgmXgNW2LiTQNP4gdwiyDatVlzIoDHUMlcCzBnud2NYXTjyCAuR6Fe8ExqQURWUNiCsF8w2+vtqctg5ofIu7cQdy/H2eM7N0HzYUUX0dNnfnS4z5typ7OYgAjttFXhF6wTMp+b0JjK5mo+WgkhEWmDNWTbNSDEDcIKTVEuzviKEnGVFiGRABepHEMiZdArPwEkpC2VF/rZ4gNE5IIS5JtshQiUa+Tbor2O1HxA7ZnLEZHRhgdGeHAgQP4vt82trhw4QKu6zIyMtI+Px5HH9EKjdy8fi4Pg8ph2agLf88sYZmdneXEiRMUCgWOHTs21MXScrCahKXVLahUKrz99tvk8/lV+Vx4ZDCwXgr6u3fvcurUqccyIXgWCEtLx7N37962S8gwY6OMUm2U7/G0sG2bnTt34routVqN3bt3MzMzw61btzh37hzZbLY9XpbP559ohfi9mQo//7lp/FBjS0kURFS9AMs0kEFIGIVgGvgNH6UEtm1gS4HrBeQNSbHmkUqZaEJeeG4nVmZpkOxI2u4aCJkyJDlD4vkhs5WlGpSM0Lhf/jLizp323+SJE4QfeAvrhecpuwGgl3RzALKmQTHorU8xpaRf8ouhBPTx38haRscY01I4hug6AtaJpG5DzjaY69DQNMJoAcERxC5lSsTfJ9Tgh01y2foeaNyQni5qEOtKktB/7CzOcEn6vrFOpv94W69t2b9ID2WaJlu2bGHLli1tY4tisUixWOTatWvt0crWP/3I/aZD2OPhWe6wLAfPBGHpLIY6wwwPHz7Mvn37hr5YWg5Wi7DMz88zNTVFNptdM6K3HpzCOnUZ73vf+9i2bduyX7ueCNly0SIsWmuuXr3K5cuXe+p4NrEy2AjXuZWAEIJCoUChUODgwYN4ntfWvpw6dYooiuLibHSUrcUiqRMnEGFI+OabRC+9RLeqPooifvzf/T4NL6DhhxhCYBkKQwi064MhMaSg1PBwLAM/iBCRxmqOa5XDCNsxCKKALWNZsuP5roWtVAv9hMctgzAIKVVd7gdRz2LY+5Ovx2RFyUciCz9A/dEfUdi3k5lUrmnhtfS79V/t10uE34uR1E2IEshGxjDwwt6ERgnRU9PTgpFwLighmKn7CxzADCnIWQpbxR0DpcPEc6qfCxvQ1jP1Q9owEsnIck7tbiNlUgj25HrbxncaW+zevbs9WlksFrl58yZnz56NbZWbnclCobCAoGwSlsfDJmHpj2eCsLTg+z6nTp1ifn6eD3zgA22rtI2A1Sjib9++zdmzZzl48CAHDx5cswJo2DsQnudx4sQJGo3GE+kyWk5oGwktF7sTJ05QKpXW/QjmesVGO65WApZlsX37drZv347WmnK5THFmBvXpTyM/9zki10UphZHJoP/8n8f/kR9Zoqz+5G8e5/rdEjUtSBsKHWnm/ZC0EERKEjQCfNvAtgxcL8CUglQY8dCNMC0DxzbxfI9sJsVrR/dS6rLCrqRkthFgSUHBVMzXPWbm6wAUUlbPUbGUZVC9ci3+H9lRHJkG+AFcvASvvt5MR1m0b6Toq0/JW8YCu+XFyJqq7ziXTNC/QL/eTYycZSSK6ZM6FlnbYH6Ri1kQaWY7MmvmGwFGEJK2YzITa2EePf9RZ6T3fTJtSOYSxs4SoXV/AwTAlt31ODsyNraxfELROVp56NChNrkvFoucOXOGMAwXjI+1RsI2sTwMYn9Vq9UNuxD4zBCWubk5pqen252BQYYZDgNWkrCEYci5c+e4d+8e73//+5mYmFiRz1kuhpmwtDpQuVyOycnJJ3KbG+bv96TwfZ+5uTny+TyTk5PY9tLxlk1sYrWRJLYXQpDP5xk9exb7t3+bKJ/Hy+dpeB4Ui8h/9a+4USigvv3bGRsbI51O87unbvFbX78GhkEKTaXqYVgGBVNR9wIadY/xvEMp0BBFZC1FUHHxpcRJWyA0DdclnbI58twOhCGhS4E9ljLRWlOsujyoL1SWm6aCHkVs1jaY9bwuy/ICMwo6iM5ScluwjQVF+2LYhupLWFJmb20JxISnn/5FChK7J0n1XspI1oyohLU4JaAWQiWIcGuP9n3GjAX9hhTYSjDnJXST+n8MAp1IrrppUxbDMSWuu/TT9hWeLpR3MbmvVqsUi0UePnzI5cuXUUqhteb+/fuMjo6u+9H7lcagOiybGpZ1jNu3b3Pq1KkNne+wUoSlXq8zNTWFEIJjx46teeo4DO9IWCtH5Gk7UBuNsBSLRd59912UUnzgAx/YXHFbI2zE695qQX3lK9BoIHbuxCbWwOhcDnH5Mtunpzn7gQ9w6dIlKr7gU7/7HvUAlGUyX3XJpSwMS1F3faIgImWZFN0AxzExg4jaXB1pGSjbJAj92L3KNnnu4Hayjk1pkZ4jYyhsAYEfMNslLFLAAn3GYjTCCL11C+K9O9DZR4kiRt06D7ZsoU1WFufWJOynJD1GknhcJehfYkLT+7tpTV9DAICUSnDl0jpR9J+1DCK9VONT9cP2a0dsAy+MyFoGhpSEOqJTF/846fb9YCoB/Tlcz/2+Pz+4+7kQgmw2SzabZe/evYRhyPXr17l9+zZXr17lzJkz5HK5tq14LpfbvBd0oBWy+SzmsCwXzwRhyeVyvPnmm22HmI2IlSjiHzx4wMmTJ9m+fTtHjx4dmovLsBX0URRx4cIFbt++PZAckWH7fk+DGzducOHCBXbs2EG5XB6aY+hZxeZI2BOiXF7yJwEI0yQPvP/978d1Pf76L36Bh3MNDFNQLVexTAPPBS+KEFoQhBGmJUnZFrLmUgsjDMfEQlMJPAxTYUnF3j1byKQd8mmTBy1nL0OSEoKZSgPfUHhLtihGIW1T6lHUp6ym3e8r78O4dx98P25JNGPp9Y4dRHv20O0wUQl2xI6SffUrpuo/TgYk5pGoBBF71kou8MME2pVNTLePyQZoRI9xL4mm4oUEWlMLHv1SaUM2CYzAlIJygrNXt3T7xUgiiZLuAZljjkm+n2PAU0Ip1da/vPHGGzQajfb42M2bNwEYHR1t618Glf2yXtGq3waRw7LZYVnHKBQKBEHCEsQ6xyCT7rXWXL58matXr/Liiy+ya9eugbzvoDBMBb3rupw4cQLP85icnBzIysZGEN1HUdQeI3zjjTfwfZ/5+fm13qxNbGIJltN5il55Bf7rf40L/NZYSxCA7xO9/joAv/CbU1y+V2XLeIGyF5BWAdrzccMQr96IM1ZSNj4SWaoS2iZSxXq1yADLNEDDtm15xkdje+FaGGHL2PFrptyg1mQShZS1ZAysBcOQ9GIzWdukXvdh61bCb/1W5MkTiPsPwDQRB/ZTfPP1WNeio+a+efTagm0u0XV0ImcbFPu4eyWl22eWkUeSZBFsG4Jan1u9EiIxA8YxVCJhaROAHsdOtsdoWy2I2gRmzDFwQ90cIZN4UcTiRshy0u2T9lnGUl2J4r4Bdld6oVN07zgOO3fuZOfOnW1t2MzMDHfv3uXixYvt7JexsTFGR0fXVc7aINC65w9iJKxXztt6xzNBWJ6FUQilFL7fxytymWhl09Rqtb4Bh2uJYRkJm5ubY2pqipGREV5//fUn0qt0w3oX3buuy/T0NEEQMDk5SSqV4v79++v6O22Ea8hG+A6DxnKPyeB//B8x/st/QZ4+DZkMCIEolwkPHyb4zu/kv/7Ru3zx+HVSpqI8V8ZzfTIpB6OQYa7mkXIMpAQjDKmXygRSEHkujmNiWxJfWYRByPh4lp3bxwHIOya2lBRrDR7WFhalbo8Rn6RxMK/jdXrbNsIPfxtEsV3vWNp+JFZvP63DxjdhtT9h2qtnN6IFx+hPWNKmTMxfCRJcuXKW6kuaILljkTFlW0fT65RK6gRBTF4aQdQeCxNospZBxozDTKUQT5Ruvxi9tuRp9SvLQS+XsJY2LJ/Pc+DAAYIgYHZ2lmKxyMWLF58q+2W9YlCZNZsjYZsYegyiiG8V4C1h9LAK5Iahw9LKa1gJXdQwfL8nxfz8PMePH2dkZIQ333yzvVrULThyE5tYNxgZwf3EJzB/+ZdR/+2/QRQRfOd34n/P93ANm09/7qv4tRry1m0iP2DMrSEQzGzZjrVzG0EEthRIKQmUCZ6PYQl836NR8fEdn3TWYvuWAjrSTGQslBDcn6st2ZSUZTDvdl+c6jcOZhmqO5lpFpSdhKR1prb/kqDriN29ei+YCeKQwn4IEq55aUPR6ENoTCkSLZVlwnXalIKqH9DP2ctS8pHEp8fz3ISuRzfhvybu/rQ6QOOOSaA1aVO1wywXI4Gfge4u2neUZFt65Y2HlhuEaBhGO/sF4qJ7cfZL5/jYRjNNgsEI7lvGB5sjYZsYaiilnrjI1Vpz69Ytzp8/z6FDhzhw4MBQr2asZYcliiLOnz/PnTt3Vswxbb0Sljt37nD69OmupgPr9TttNGySxqVY7rVOb92K93f/LvzwD7deiO+H/OTPfYH5uo+6cg1fR2TDgJqyMHSEM1ekLgT5HVuRUchcqJFSkkpbhFGAYZikx3KEMmLvjnF0o0p5rkgRRSaXRVk2pmkuKIuzKYt6bWkYJPQfB8s7Jg97jmzpBYTClGCjyVvxuJIl4uI4Zcq2vkUDaI0GHEPSCDVCtop4jRSi3YEwDUkQgSXjnJVAa4JIt4mRKQWVhFGtJMF+xlyGnXECockljK0BhJFGP2IsS2ArkThSltRNAvCjiHkvbJNMQ0DeNnEMiSbeH0nfp5eD2N58alXu8U9q09sr+6Uz2LXVfRkZGdkQ2shBWUBv5rCscwxz8T0oPGkRH4YhZ8+e5cGDB7z++uuMj4+vwNYNFmtV/DYaDaanpwnDkMnJSdLp9Ip8znor7jtDMl999VW2bt265DnrvcPyLFxDNrFMdBwLP/srv8+Vh2VkaR4ReAhpUJcm6Shg3klBEDJ+/w7zuTzSVFiOhVTQcD2EgJGsScOAFw/uZfdIlpn5On4Q4siIe5UabrkCxK5kjm1jO05PUXnSONjiVzlSkDIkBrG2oxFEEIQ0gpB6EFKt+czONxAItmRtHtR6yfxhImvzsIemBmAiY/Owy+tNJbGVJGUahAgMIWINn9b4kcYLIzRx0GOS9iRpCittqERBftJZbsjYeKB1Ket2XciYCjdMIj0JYnvBkm5RoFmgERp3DJSU2E0HsqDL5bVXuv3eVdCvwGCCI7tlv8zOzjIzM8PZs2cJgqDdfWlZi6/H6/UgOiywqWHZxDrAkxCWWq3G1NQUSimOHTu2blw61qKgn52dZXp6mvHxcV566aUVFQSuJ9G97/ucPHmSarXaNyRzvROWjYD1eBNfaTzNMflffv8iXzl9CyPU+L6HjjQ0Dbeq0sREk23UmMHEikJwUkRENNwAw1BIA7AErx7cRdaxedAc/1JKkstn8E0bDfieR8N1qVSrNCpzzMw/Ii+WabX5U193MEOioogtpsILQqquTyPUNJqPT2QdSn0ISb/sFEjORqn3IAp+GOGHEY6heFhf2jUSxKLxnGNCU9cRaY0bRgs6LlonWwSnDNmfsGhNNSlQ0mx2YPSSobk2ksa0jAS3NYhF+0mdHhALSGLGVGQtAykEfqiJ0F31OALBnvzq3OtXIunesiy2bdvGtm3bFmS/zMzMcPnyZUzTbI+Orafsl0EQliAIcF13s8OyieHG4xKW+/fvc/LkSXbt2sXzzz+/rlqqqzkSprXm5s2bXLhwgSNHjrB3794VL/zWi+i+Wq1y/PhxUqlUouZpvXWNNirWw3G12niS8/nqe7P8889NE4Wacs0ln0sTvKdxQ3AIIWVjVasUhYmtBGbKphoGCAm2ZSAMkDri+T07EEJR7dCkmIZq56sI4gLNsizyuRxjWYtbpQqNRoNqsQgabNvCdhxGUo/Ov5QhyRgKHUZUGj4pQ/Jwrt7z+ywmFK3jRCCwDUm5T/GctRWVPuNNjiETslF0z2wVDVS8EMdUSzo0tiHJWwa2UlhS4mtNEIU9wxiTRspytkE1wYWsdai09k63x5PI23LIyHIOycW/WWcGjEQw4hiEWmNJEROX5pvuyFjYanXu98vVsDwpumW/lEolisXiguyXFoEZ5uyXQRCWSiXuyG52WNYxnoWVxeUW8VprLl26xPXr13n55ZfZsWPHKmzdYLFaxW8Yhpw7d4779+/zxhtvMDY2tuKfCeujuH/w4AEnTpxgz549HDlyJPEcW+8dFq31ut5+eDaug6sB3w/5yX/9VepeQN0LKORSNLyAupPFqdcwlCYqV6lJhaVDdGGcmtQYhoprRhUhw5Cj+3cgLHvJ+xfSVtfxKYB6BOlUinQqFXdffJ9Go0GtUuZWbR7TMBDKoiFNarbV/s2zTu/FhJSluhKKlqA8axu4XQIq2683DSpB7+5M1jJp9BkXy9pmon6l2+NuEPGg+bkTaZuHNRdBTDxyzbBGDW2hfjmhA2MrlUhYWoRAdwmNBMiZqqudcSeWcxomaVNShuzb9YrQaA13q3HXypSCvG1iKcneVequQExYVlMgr5RifHy8Pdruui4zMzMUi0Vu376N1nrB+NgwBGG3MKiUe2BTdL+J4cZyCIvneZw4cYJGozG0lsXLgZRyIBbO/VCv15mengZY9XG5YSYsWmuuXr3K5cuXeemll9i5c+eyXrfeCcsmNibk3BxmqYQYH0cvU7/3j//tf+d+qUrNi0eDqnWPCLD27kLdvE00P09gKiIhkWMjWLu3oE0jPqdFRDoMGRkdpTA+Sr1LYdrLsjiXshYU3ULAtmwamU4BIzyoubiuS6Ph4roVoijCtm1SjgNCg+heDGUsk/piwqFpNxAS0+0TrlVRwjukDNmXsGQslTju1Rp90sC8GyzJi9mRtVFCYkhJpOPuxOKt9hO+R8aUHYRGd10AMKRkqVpoIZKyZBZ+TnekDJVoedwZkOlHmpkmafyOQ08XbPw4GJSQ/Elh2/aS7Jdisci9e/eWZL+MjIwMLJrgSTCIblS1WiWVSm3YDJtnhrBs9IIpibCUSiWmp6cpFApMTk6u6Yn5tFBK0Wg0kp/4hCgWi0xPT7N161aOHj266if/IENAB4kwDDl9+jSzs7O89dZbFAqFZb92PelyNjI28jXwseC6GL/5m+z8/OeR1SrWjh2Eb75J8D//z9DHTOO//PcL/D/T15sFtMCR4ElJFMbFhnFgL9W6R9BwcfJpIkMSKoXWGikDzFCTG8vz0qHdlLrY/KZsg3IPJy/HMigHIXnLwBIwX/WYrcdjXhMFJ3YfS6VIpVJoDUHg02i4qNDjvTtllFLYjoNj21i23bb47TYq1XLBkrK/kN9Qom+YJJD4uJcg+kib/QmLoUTXYMROBJHmbv3RPUMKGHVM0qaBFLHzV1KXx1aPiITW3S2Nk3Ji0qZMJCyWSiYsYcJ5LKBr16xgm2xJL+3qrRRWQsPypOjMftm/f/+C7JdLly7RaDQoFArt8bHVzn4ZBLmrVqvr1nRgOVi/VesmFqAXYenUYKxEZshaYKU6EFprrl+/zqVLl3j++efZs2fPmuyrYSzu6/U6U1NTSCmZnJzEth/vprdedDkbGev9vB8kjM9/HuM3fgNtGHg7doBhYHzxi3G+yvd9X9fXXL9T4v/363+CH0YoJUkJqGqB5/mkbRM7DJnzNRgG1qhFSISMIkJlYmmPMIRMPsOeHdtQpoIuhCXrWNSrS8XnppIoNFkE8/OLF2uWFttCgGmamKbJRM7BLDdwPRe34VKamyMKQyzbJptyeKhDlDK6FuB5x6TU6E0G8rZJsUcmDMCIY/bVaxhK9NSvtOAnEJq8ZVLsM3IGS7sakYaZus9Mc9RtzDFpBBEjTqw5CnRMPnTHPumU6eiYsSzAsuyMlUokLGGC1kaJ7iNynciaqusI3KGRlXG27IVhIiyL0S/75fr160gp292XsbGxx77nPS7CMHzqheRKpbJhBfewSVg2DFoFYecFIgxDzpw5w8zMzKpqMFYaK0FYOvfVm2++yejo6EDf/3EwbCNhs7OzTE1NsXXrVl588cUnugG1Opzx7Pdm4byJNcT8POr3fg89NkbQnK/X4+MgBOpP/oTwIx9Bb9u24CVBEPK//dJX8P2IUAhSGtwgJBCStGUg6h4NNIZtoQyB53lEGkYLFqF28SJJLu9wcM8OTEMyu7jADgIoFqlVbCiMtoUOGVORUoIgiLhbXBoiCZBPWcz3WtnXmrIbxN0XJ0XKSaHRhEFIo9HAiHzu3y8jpcSxHWzHxrbt9nlqJJzrIuFSYCaIu/OWucCqdzGUSCY0SVeTXlkknZBCUAtCapVHzzOlYCxl4Rgy7lgsIJhLr2PpZdgZJ4VjqmXYN+csI3GfGErCJmF5LCzOfpmfn++Z/VIoFAY+eTEoJGz6ywABAABJREFUDctqd4ZWE88MYdnoI2EtZt5qK1arVaampjBNk8nJyXVjWbwcDNolrNPeeRj21TB1I27evMn58+efuuO03i+gLbvIlcreWS0My3G1lhClElQq6O3b0fV6u+DVhQLy6lVEqbSEsPyTX/59bt+ZoybBDjUVz0dlHFJC4JfraCkwsg6SiIbrxR0YA4IwwEeSzdoc3L0TIQQjOWeBqF5cvow6cYJ8dZ55J42RzZL74DuwbTuzFZcqsGUkBW73a55tKehRkOdT1hIRuEBgGEZcgGVtZNXF8zxc12V+fp4wCDFMA601pWodLWSPRHedWFwnhSMmZafkbINSnw4OLM0rWYyMqXraKrffowsB8CPNvWa3a8wxmXN9Rh2TjGUgA8H8oucnNEbizkhicKVKdBCTy7iWNrrsd0MI9hdWV2S+0i5hKwUpJSMjI4yMjHDw4EF83293X86dO4fv+wPPfgnD8KkNCmq12maHZRPDj86uSrFY5NSpU+zevZsjR46smxWO5WKQHYiHDx9y4sQJduzYwQsvvDAU+2oYOixRFHH+/Hnu3LkzkEDR1n5djzewubk5jh8/juu6ZLPZtgtNPp8fiuNluVjvpHFQ0CMjkM0i5uago0AQc3PoTCZ+vANf/IOLfOVPrhBIgREENAJNJpfGiyKCch1hKtK2QSUM0DrCsgzSBggRUosgm7U5tGcXslmdex2VrXjvPdQf/zFEEY4hMf0GwZ155v7rfyP4038aMllAU+5BVqC/o5RtKuhBKgTN7ouIuyuO7VDIFwjCgGq1ihEF3Lh7HykEdjP3xbHt9jGfdyzmu4y1teAYMtHiN8m5y1D9j9mMZVBN+IwogaRnTZVIJJQUhBoe1n0e1n0a9QbVus9EpMnasUapm4HCgs+xFHN9fkd4MjvjxbCV7PqcvYVUYsdr0Fhr0f2gYJrmime/DMrWeJOwbGLo0boovPvuu9y5c4dXXnmF7du3r/FWrQwGUdB3ul0dPXqU3bt3D2jrnh5rTVg8z2NqaoogCJicnBxIV6FVLK+3Ff67d+9y6tQpDh48yJYtWyiVSszMzHDq1Cm01u2b1Pj4+Krad27iKZDPE37DN2D8p/+EYRhEhQLiwQPEvXsEH/7wgu7KzbslPv0f/oQw0hhKUIviroAbhMggBFMRhRGVwEeaCqkMMiqkXPexsyaZlMNze3e3yUrGMZnvGIGSFy9BFDFGiKclJcOBTApcF3n1KtHLr5BP2z2tcjO20VeQXu+jl8inrK4FtKEMUk6KMHQZHduK53k03AaVSpnS7CymaWI7Dnkzh9aiZ5GdZGecsfpvOyTb+6YN1ZewCJFsCpAykgnLYgG7btoSzDQ8ZhowYsdjWmOORcZUIOLuUmfXRS2DjSTpW9IJdsbxc7o7iB1c5XEwWF8jYctFt+yXubm5dvbL6dOnyefz7e7Lche2BjUStklYNgA2+uqi67oIIZiZmWFycnLD+nDD04+EBUHA6dOnKZVKj+12tRpYS9H9/Pw8x48fp1Ao8MYbbwzMTW69ERatNZcvX+bq1au8+uqrjI+P43ke27dvZ/v27W2LzIcPH7ZnnHO53ILuyzBec9bL/l9pBN/+7RCGiM99DvvOHdi+neAjH4ldwprw/YCf/uxXmJ2vkUk7lCoNgjAil7YgiqgFIcqQOI7AM0wgwhE+842QbEahFpEVgLRjUa09EtWPPrwHtQratinZzUJDCEBDuQw0R756EJa0Yy54v06kTKNvh8MyVM8xM40mJD5vbdtuC47DMKThNnBdl1t371IN48cdx8a2HVTHCn6SnXHakH0JS8pQiYQlyYq4YBt9Xc4gOVAybXbZDq0XtEPMpl3yw7rHw2Y+pxIwnrJIm6pppZxkVSyTn2OqRMLSy0FstfUrsDEJy2Iopdrk5LnnnsN13fb42KlTp4iiaIF4v1f2yyA1LBsVzwxh2ciYnZ1lenoaIQQvv/zyhj5g4ek6EC1tj2VZHDt2bChXxdeqw9LZTTh48OBAC+7OkbBhRxiGnDp1irm5uXZe0WKC3GmRefDgQTzPY2ZmhpmZGW7duoUQYkH35UlGBDaxgrBtgj//57m9bx9Wucy+V19dksPys//XVzl/s4htKIpzdaQhyNiKMIyoeQFOyiTSIdowEVGIwqMaCgxDMDKaY9u27QvIioD2CFXaNLCB2dwoYr7Ols7ivlUMZ+OcrEqfgrtf8Zq1Deo9Aiihf/dCCcFcCIvvJEopMukMI7ksntY4zeDKSqXK7GwJ0zRxHBvHtplLGD/yE7hzxlLU6723US6je2L1EMmIUgnx4AHStpnftQv6FIqZLoRlsUlYt45GqOF+c/9nTEUYacYcE9tQ+Fov0Zk4hkokLEnkKjYHWLrPRmyT8dTq3+ueBcKyGLZts2PHDnbs2NE1+8VxnPa9oTP7ZRDj0psalk0MLTpteI8cOcK1a9fWepNWBU9a0LfS2Ydd27PaonutNe+++y7Xr1/n1VdfZevWrQP/jPXSYWk0Ghw/frxtwNAitEnkzbKs9k2q5TAzMzPDjRs3OHfuXHtEYGJiYs1cXIax47PWCPN5/LGxJWTlN3/7DL/9x1cJA596pDAthdKayI+oo3FSBqEOMUQzjzH08BAoA8ZGMmzfvmPJ/i5kbSqhZotj8XC+Rk2DOHIE484d5iIgiuJK2PfBtogOHCCXMin3GBNyLEW5jyDd71Pcpszu6fYt5GzFTM9HY7vjmYaPZVlYlkU+D2EY4boNGg2XRqPETGkW24q1L7ZtY3QUYzHZ6C+mT9Ke5G2DUh+HMehC6MIQ4/d+D3H1KgCj9Sqzo+Pob/kWokVGC+2XdN2Pj1zCbCUTc2DSpmKm7nO3g0CmDcmIY2IqiRtGA7EzzpmK+SFwB2thPWoWB4lu2S+tseLF2S++7z/1NbpSqWzoBetNwrJO0Rprmp2dbdvw3rp1aygDBweNxx0J6xzveZx09rXCanZYgiDgxIkTVKtV3nnnnRW72K0HwtIS109MTPDSSy89MaHtdJg5dOgQruu2uy83btxAKdXuvIyNja3rENeNiHdvPORf/OZxPC8kY1tUwgiCgCiICB0T2xD4QUAUaQojNvNuA6EUUkSMjeR4/cVDzCzubOhYs1Gbq/Og4zG9cxf5Y28zN30KXDdeIs/lCN9+C7JZbMug7HfvkmRTJo0eHRRDCub6FPMZ2+zRfdEIEXdYTCmwOrokGk2km0SiS12llGxbw06kbd6br9JoNKjVasyVShiG0SYv2/NZSv20J+hk694EizFbySUFvjpxok1WEAJTh9BooL78ZaLv/m5YlLUhRffgS90xEpazFA/r/a/X3bhILYioVeJxPiViUX7ONpEI6kHI4viZZdkZSwksvTeuhX4Fns0OSz8YhsHExAQTExNAnG/WGh9rNBqcPXu2fV94kuyXarW6YeIruuGZuVNupNXFSqXC1NQUtm1z7Nix9kE9aLvfYcXjFPRBEHDy5EnK5TJvv/02+Xx+hbfu6bFahKVarXL8+HEcx+Gdd95Z8fG4YbYWv3PnDqdPn+4brvqk1xDbttm5cyc7d+4kiiLm5uaYmZnh6tWrnDlzhkKh0CYwmUxmRa9Vw7r/VxRzcwjPQ09MLLFhWrw/6nWPf/jp/0ap0sAE5hoBhBGOFJgZm4bQNDwPKQSjGYN510MqhRYR2yZG2LVlyxLhdMY0sCTcna11X0V/38sEew8gijNoKWFioh1w0m9sq994UCFltUMRlYj1IJYUSGKuYUQRo0oQRhFBqAma/46iWExejnyCmodXWRxSCaCp+CFKawwlMVSc1yKVjIXlQmCi2ZFNE2ZTeKGmHgTUGnH3pTQ7S1Sepa4sbDt2HltM2vOOmag9SXLlytlGex/Em62R58/H/90souumHR8Tnoe8do3o+ecXbodldrVV1nRytv7nqwDKCd8lb5vMNvy2CYJEM5qyyJgGEZq6Hy3PzrjLaJoSgn2rbGcMMVnRWm8Slj5IpVLs2rWLXbt28bu/+7s899xzNBoNbt++zblz58hkMm0Cs5zsl00NyyaGCi2dwd69ezl8+PCCi8EmYVmIFrFzHGfBeM+wYzVE9w8fPmR6enpVx+PW2v2sG1ZjHK4TUkpGR0cZHR1t35xa3ZerV69immabvIyOjg60+7KRFm2WA3H3LuYv/RLqa1+LOySHDuF/7/cSvf12z9f8xP/3S7xXqiKCCG2bCM8nY6k4JJIQzw+wDIOMpYlkc/VYROzcNsH2sTFGck47R0MKwXjK4mGpSqqQJoyWFq1SNDshponettDVMeOYPce2DLW0g6KEIGtKTCGxgIKEuhvgBRGVzs+UAqQk6kF4so7Bg/kGvQrxrG22xfxhGLFY8m8ZaoF1cws5w2BLwcEYG0USUq43qNTrzM2XCKTRtk22bHtBZ6cbnATBPsASzX8QgPeoq+T4LmX7USEvqtUlb2H26uJ0BOAmjYMVHDNRa2Ms+pgIwUzdbxMuSwrShiRjKoJId9XM2Ep2Dcjck3MS9+dKoHWt3yQsy0MURYyMjJBOp3tmv4yMjLT1L92yX2q12iZh2cTaI4oiLly4wO3bt3nf+97Hti7zts8KYVEq9r3v126+d+/eAmK3noq1lSzstdZcu3aNd999lxdffJFdu3atyOd0w7B1WMIw5OTJk8zPz/P222+Ty+VWfRscx2mvsEVR1J5vvnz5MvV6nZGRkTaBGUQ42TDt/xVFtYr9Ez+BPHECPTGBtm3U1BTy6lXcj3+c6H3vaz+1tU//9X/+Y05ffgB+iDIUXhiSVor5mksmZ9HQGss0yJiaasNHpgxQsG/ndsaanVvZLAwLjkngBTwoxUVwr3J1JGtTrHcf3UrbBtWg+8hXIW3TCAJSSqHDiIYXUG14zNHsoFgGfg9BfiFlMdvjMwFSlrG02F/0eD/3sZxtMtPFzjgINJXAJ9UOcjSw7RymlcX3XITvE9Sr1HXEg0yK0HLQpo0yjCXUKWMaNHrsmxaWWBUbJmSzUInpW85zaZh2rBvSGj06uuQ9epkaxOeRWFaGSy/hfydqCWJ7JQU3y4+6XVlLMWKbGFJQDyJCrUmbw2NnDJuE5XHQ6kZ1dlAWZ7/UarU2gbly5QqmaTI3N8fdu3f5M3/mz7Bt27aB2hp/6lOf4md+5me4e/cur776Kr/wC7/AW2+9lfi6f//v/z1/8S/+Rf7cn/tz/Of//J8Hsi0tPDOEZT0VrIvRaDQ4ceJEOxej1wEppXwmCEun49Tii6HWmkuXLnH9+vV1m0WzUqL7MAw5c+YMMzMza2LnPEyEpZe4fi0hpWzPLh8+fLh9g5qZmeHKlStYlrWg+/Isi1mToP77f0eePUt04EBblxAVCshLlzB+/dfxmoSldTxOn3+P//tLp/CCCN+PsGyJ8kJqkcayBL4SKMBRIfO1kHzexJWSg7t3kG3mFJmGYq7usyVt8aBUa2+LbRqUemhNRJ9idrFjlGNIsqZCRxHCD6iWGyztCUA+bfUdp1IJq+1uEC0aeVoIL8FWN2FCirRtLAg2jIMpHcDBBEQUUqnXaczN4XseadugkM+QyWZQtkO9ObbWDxnTWNptEBC+8krccYsiIoiNDoRA53JEe/cueLolRU9ipoknyVLLICxJNsSpZXSLMqZBvYOgVbywrc8RaMZSFlprUoaiEYQL9s+h0U3CMuxo1W29rulCCDKZDJlMhj179rSzX37zN3+Tn//5n+ejH/0ohw8fZmZmhtu3b+P7/lM5U/7Kr/wKH/3oR/nMZz7D22+/zSc/+Uk+8pGPcOHChb5TCNeuXePv/b2/xzd+4zc+8Wf3wzNDWNYrisUi09PTbSFwvyLFMIxnjrB0wvd9Tpw4Qa1Wa9vRrkesRIel0WgwNTUFwOTkJI7jDPT9l4NhGQkrlUpMTU2xZcsWXnzxxaG9obYEzLt37yYMw3b35eLFi3iet6T7koT1vGjzuJA3bsTFaKdotVmYynPn4v8vlRj/whcIrt/h71/L4mVHqQsDUwkCLyCUAqU0qZRFNQyxZES1EWGYAmzFczt2ku44j8ZzDuW6t4CsAOSzNg8qS7NSpBCUenQ6UrZBxQ3I2QaOFNQaPtVqgwbx76iM3sesZSroQ1j62SQbUjSdx3oJ68WC4MtuSBqR6rdoIYDxbAqkIpvJEmmN53mUqg3uFe8RBgGmZTKez5LPZ0mlHHygGoQLXNHSpuo6HhUdeR6CAHXiBJUw/u309u2EH/zgEmvjnGUy0+jRxWmK7oPFyvhFsKVoBlv2PvcyZrKdcT/HNI2gWPeYdwP8SGNJwVjKwjYktpJsST+ecHtQaKXcP0vXnSdF67643EWoVvbL93//9/P93//9XL9+nc9//vP81E/9FJ/4xCf4p//0n/Kn/tSf4tu+7dv4yEc+wsGDBx9rez7xiU/w1/7aX+MHfuAHAPjMZz7D5z73OX7pl36JH/uxH+v6mjAM+Z7v+R7+4T/8h3z1q1+lVCo91mcuB5uEZUjRObrz/PPPs2fPnsQT/1nrsHR+13K5zNTUFJlMhsnJyXWdezHowr6V0/O07ldPi2HosLz33nucOXOGw4cPs2/fvnVzM+10Fmt1X2ZmZnj48CHvvvsujuO0Hx8ZGel541vr/b9a0CMj8X9EUVtgDSDqdaJt2xDXr+P88A+z8+xZ/q75KrPGKJ5dJNyyjfS28aYuIyQMQ3xMFAFuCMoS5PMWu3fvxjabXTmt2ZJ1qNQ8ql0E2o0uhTPASM6mWFv6/KylKDgmxUqD8nyN8qLHC2mbUp8E+X52xRm7f7p8Pm1RrHlNvrL03Cg4FsUeQZUAWcfsa70r0IkC9M5zUgqBY8e5LgBBGGJEPjOVGneLc83uTBxsOVbIkk3ZoCRSa5rxm4s3gOill8i+8hLlmVmwbHSmO9kXoh9JiM0Mkly7crZJMYHgJbgZx/ss4XPy9iOTAi/S3K3Gv9HbO0f6v/kKYtMhbPl4WnK3b98+/vpf/+v8/M//PP/m3/wbCoUCX/rSl/jVX/1VfuiHfoh9+/bxbd/2bfzlv/yX+cAHPtD3vTzP4+tf/zof+9jH2n+TUvKhD32Ir33taz1f95M/+ZNs3bqVv/pX/ypf/epXn+h7JOGZISzrpTCB2NmqFVz3gQ98gJHWzTcBz4qGRQixoKhvOTwdOHCAQ4cOravfuhsGKbpvpbAfOXKEvXv3rum+WUvC0hoVvHHjBq+99hpbtmxZk+0YBDrHA/bu3UsQBMzOzjIzM8P58+fxfb8tzOyXrLyREX7jN6J/+ZeRV6/Goz5KIR4+jFfFv+3bsH7+55EXL/Kpwit8PdiCcmxC12fk3ntUxvKEErSOGBmxqXkekRBIGWFZivcffZ75ppuTYypsIXC9oOtoUMYxKTe6F5ud56KlBAXbpF73qJQbSKDeo0g1VO9zOGUZ1PoUtynLoNrDJhliG1+ILYy7NQWS5Bgp0+hLWHIpK7FD008fYyjFlkIGrBS62X1puA0qlQqlUhxcmUo5OLaDZZkU0jaWqQgEVIKo3YWxbYv5LpqVTvQjdlprcpbRM1W+hcTLrU4mI7GdcYJOpscxcWRs7UIENwnL8jGIlHuIXcJyuRyvv/46r7/+Oj/2Yz9GpVLhK1/5Cl/84he5efNmImF5+PAhYRgu0Ulv27aN8y2XvUX4vd/7PT772c8yPT391N+hH54ZwrJe0OoUpFKpx05iV0rhur1XvzYSWt2kCxcucPPmzVVxeFottDQsusOJ5nERRRHnz5/nzp07vP7664wvCsZbC6wVYWktAMzPz69o1sxawTAMtmzZwpYtW9BaU61WmZmZaScrp9NpxsfHh6LDtVrQ27bh/eiPYn7yk+3xMF0o4H/v9xK+9Rb2T/0Uv5Pdw6/5WzFMiasFKQk+EX5lHpHLkUkZ1P0ApCDSPtlMilcPH6LcJCujaZtKpcFcEDIxloUuBW46ZVHtNg4mBbM1jxHHROqI2XKjnc9im4r5Ph2UfiNdGcekXu19D+gXJgkdwYQaujGWft2b+P37L7QkuVWlzOY+74OWhkZ0dFfIx0Vfw21gRz4PHj4EAQ+btsm2Y6OkIm0bpGwTE03akD3F7olieg1Kyp5mCi0k7a+cbVBOJCOKbtkqnXC7jKYJNgnLekGrw/K0aBGWTmSzWb7jO76D7/iO73jq9++GcrnM937v9/LP//k/b+fLrBQ2CcsQoTWusn//fp577rnHLlaVUkOhEVgNSCk5ffo0YRj2NSJYj2hduJ6UsHiex/T0NJ7nMTk5uSx9w2pgLTQs9Xqd48ePY5rm0IjrVxJCCLLZLNlsln379hEEQVu4/+DBgzZ5a42PPW4w2XpC+M47hJ/9LGpqChoNoqNH0bt2Ie7d4z1P8o/DfUgBVQzMIEBJTUUqDAG2IzGUxheSRtBgYjTH4T17KeRTPKy4TKRtHjYdwKSQzPUgGN26BUrAtpzDXM2jNFdb8ngubeNWu+WfxB2KfiNV7RV/10VevIi4fRukRO/fhzj8XN/uRsYxFhTYi688abt/90bKZH1LEmHK2KovYZFtjc1SKKXIpDNsydioTAPP93AbLpVqldnSLKZp4dg26ZSDaVlowDENMo6JNCSNUFNtCtZTRn/CotF4kaZfiZkzFdUEbYqtJOUEMuIlTE0YsrtuaG8+RcZcuxLvWU+5fxwMosPieR6+7z/1gtzExARKKe7du7fg7/fu3etqYnT58mWuXbvGd37nd7b/1rrPG4bBhQsXOHTo0FNtUwvPDGEZ5jGh1mr4e++991SdgmdlJGxubg7f98lkMrz11lsbLim8nwtaEsrlMsePHyefz/P6668P1b5Z7RX+UqnE8ePH2bp161CL61cShmGwdetWtm7dysjICDdv3iSXy3Hnzh0uXLjQDiYbHx8nn89vvH2UyRB+wzcs+FMwPs6PpV6jOtugZtuoIAQDGs0ARLuQpuHH2SjlRpm9O7ayf8dOEIJGEJE3jTZZARgtpJjpouvIZ+wFozyWISlYBrPzdVwvoNqjuA/6nCOOafQkLEqKmDg1Ghhf+hLMzbUfE/fuMXb9Cvc//KcXaHo6kTYfEZZuDZa02Z+wFFIms/U+7mQS5nuJ2JvolQ3TQt4xexoVtNAIwrj7YtnYlk0eCKMQt+HScF0ac7M8CDS2bWE7DpWGjdEsFi1DkktZWAKyhqTadExbDFNAPdT0WyZLLYOwJDmuGRLKSQGZlsFsl7HDI+Nru4g3qK7Bs4BBEJZqM0foaQmLZVm88cYbfPnLX+a7vuu7gLgW+fKXv8wP/uAPLnn+Cy+8wKlTpxb87R/8g39AuVzm537u59izZ89TbU8nhqeaeUbRcm/SWnPs2LGnWg1/FgjL7du3OXv2LKZpcuDAgaEqyAeFXi5oSWiFig6rlmc1Cct6FdevJKSUKKXYv38/+/fvbweTzczMcOrUKbTWbe3L+Pj4hu1G/ew//x0uT+xBzl/F8F20FDiEVI0UzkSOmgbD1jyozfHigQNsb45Tbsmnmat7eIs6AL2uuJZlgBe27YiL83UeVN3YHayHzbGhJHM9HoPeAn6IxfjFuoc8fy4mK6b5SEQRhRg3riNuXEfvP9D19QvHufQS0X2ok4prRe/EmTj/pdjnuwkB8z30Pi2YCQWwpWRXQqekarvuTWRt3itVaDQa1Go15kolDCMOrrRtGy+IUFWXMNJtAiMNRSOMqDQJSEpBI+GakqRvMaRIJCN526DYhwRCbEzQDS+Mre3o6+ZI2PIxCMJSaeYLDWLa5KMf/Sjf//3fz5tvvslbb73FJz/5SarVats17Pu+7/vYtWsXH//4x3Ech5dffnnB61u668V/f1psvGqvD4ZthntmZobp6Wm2bdvG0aNHn/qA3ciEpRWc+d577/Haa69x6dKlofotB4lWcb1cwtJKa7927VrPUNFhwCDNBHpBa83Fixe5efMm73//+1d8pnY9Y3EwWblcbvv4nzt3jlwut6D7shFI329+6SS//bV3CZ0M4eHD6HvvEXgetWwea6JANZWh5tcQKuL1F15kpLlauUVGRFNTBLNlZCpNtG8vZLPYlkGpS3dFAA0/ZCJlUpyr87DjWjWSc3oW7oWM3bVbA2AbinKfkSvZVMTLm7eaG9Hxe0lF2bQRt293JSxq8TjXoiCWmEz072zUErQnvQrrFvK2ydxTfkbONpjpQ4ogJn2WaWKZJuRyRFGE68bi/dLsLCkFgbKwbRvHcfA6uiS2ocilLUpRhDB7fx8paGudeiFvKYoJBE0mhdoAtS6kJ2VI9hXW1mxjk7AsH4MgLLVajUwmM5B9/hf+wl/gwYMH/PiP/zh3797ltdde4wtf+EK7trhx48aa/LbPFGEZFmituXLlCleuXOHo0aPs3r17IO+7UQmL67pMT0+3gzPT6TSXL1/esHqdx+mwBEHAyZMnKZfLQ589s1KBmC209kWlUlkRcf1GuAH32v9CCPL5PPl8ngMHDuB5HjMzM8zMzHDr1i2EEAu6L+vRNvzilfv8i1/9AwIvRJmSyHKYG58gk7WRaZNy3WW+Nksma/H+F99H2nGQAsaqZdzPf5F6ELY1C/LCBcLJSfIvPseDRXoTQwq25h3ulupUuo049bHa0n3q01zKwu0jqC97zWK/CzHIBS5lZfW0rcqnTGY7Rq30IsaST1k9dToQGwUkCczrSYnwfbJlWo8nfUYSp7YMucS0QEpJKuWQSjlooGBKbs/O06jXmZ+bQxlGm7xE2sKdD5mvuBi+ZNywyDgWKEnFj3Cb1+y8bTKfYN8sRfK1JDlQUnV9zqHRTCJBXGlsaliWj0Hsq0qlQjqdHtjC0g/+4A92HQED+MpXvtL3tf/qX/2rgWzDYmwSllWG7/ucOnWKcrk88LTxjUhYWiF/Y2NjvPTSS+0RsI34XTuxnOK+Vqtx/PhxbNteF4Lylexwdorr33nnnYHuC601URQRRRGe5yGlbP+znvA4NzLLstixYwc7duwgiiLK5TIPHz7kxo0bS7ovuVxu6LsvtZrLT33y81Sqbpzl4RhUGz6Gkmgj5OF8jbrfYKyQ5U9/4zuU6j62obCB2a/8Ptuqc9RGtjQrYg21OupP/pjawUfz2QLBRMaiNFfH86OuegwhRU8HMCkEc330GWGffPesY7ZF4tHevcjZ2QUZNCnfpWyl0bt2dX29WnwsL/qoJHevrGPiVnsTGsdUzQDF3nAT9B4520zsnvSzVI7fo38HRgAoRS6bJZeNgytd18V1XUqlElEUUUjb1LyAjBlR80LqXr39+oxjknbMOOxTQNDnclcP+u+PXmSkEylDdn3O82voDtbCRljgWS0MQu9TrVY3lPlQNzxThGWtR8Lm5+eZnp5uhxsOusDcaEX8zZs3OX/+fFcdwrCkpq8Ukr7fw4cPOXHiBDt37uT5559fFzeGlTr/ZmdnmZqaao9WDnJfaK0Jw7C9Ataymw6axUYrE6j179vl23zp6pc4OHKQ58eeZ3t2qavKeoOUkkKhQKFQ4NChQ7iu2+6+3Lhxo526PDExwejo6FB2X37yE5/n/kyFet0jU7CpugGWqahEde6WfISCHRPjvP3yS8w3AnKOhdfwmH84i1WcoZQtdCzfC3Ac8pUSs7fvwPbtjKVt6jWXB8UKAtFThzKSsRd0MjpRyNjM9hClSyGZ6xIy2ULKMh4RlheeR9y8iSgW24/7GvSePei9e7u+fvGo1aKJsL7amfYL+iBjq77voVRv9682EjNgVGIXJwlKigW5OVIIUo5DynHQhQJBEJARIXO1IuX5earVatM2Oda/VBs+1YZP3jZxPZ+RtI1lGfg6Fs+3dlNMNPrfv3qRkU708ih4fo31K7Apun8chGH41HrcSqVCJpMZ+sWjp8EzRVjWEi2x+EoKojcKYYmiiLNnz3Lv3r2eGSLPKmHRWnP9+nUuXbo00HHC1cBK/Gat8+rIkSPs27dvoO/dSVZagnWIj88wDNudl9Y5d+bhGX753C/jhR7T96YBKNgFjowdaf8z4owMdBsfF4MgjLZts3PnTnbu3EkURczNzTEzM8PVq1c5c+YM+Xye8fFxJiYmhuIG+i//3X/n1IU7VBsB+YJNJYiIRECxWqIW+iAlB3ft5sX9BxgppAk1lOZqcYckihjTPg/lIjMUIbAJyRKiTEVxttJ+aCSfYrZHF+X/z96fBUly5ted6O/7fHePPTIyqwqFpbBvvZDdjUb1SNRI5FAc3fugB5lJeqFMZtQbTQ980GLXjJIeJJGiTEYzXdk0F5NspGkZeySaxJkh2ZTYYpOXYpNsAVVAoQAUlkKh1txij/Dw/bsPHhEZmRlLFioLqCrUMYMByIjwcPfw8Pif7/8/52hLOhXakpGosmfSXtIZCGe/V6ZF+uM/jvzwQ8SNG+iapHXmCdInzoDMVRFCCAQKhcDWJf6hzsRecKSpy5VkYlX44SpCU7aMpYJ8WJ1p4h6BsKzqwJTtxfshAEPXKbgueqtHoVBASkkQBPR6PdIkwTRNPNchjk10w6AzDGE8xqdrkoproekSXZOMVnSU5vuTze6Pohcd/lzqjsGa+9l32x92WI6O49SwPMh4SFjuMrIs45133mFzc/Oui4AnYYp3Ejj4WeOga9qilO4HhZwtwrziPk1TLl68SLPZ5Gtf+9rUieN+wXF2WO62uP4gWTnY3ZvVGSml+L0rv8dvXf4tgmSsZ1D58baDNn9680/5wa0fUDALlK0yZypneLb2LE9Xn8YzPr0fmLtxT5BSUq1WqVarPP300wRBMO2+fPzxx+i6Ph0dq1arn2gVUVy/jnz/fYhj1COPkD37bO6AdQT88Wsf8h/+n3P0gpiio9GPI3b9LkoFKJkhpM5Tpx/hhSfO5F0yIdhp7ZEPSiWSShn8CGbuRXrgI3WDgVtGDfZrWOQCUiJgyciXWipqPzSyNX6NpWvYmkRH0HBNUIosU2SGRvriCyTPPUfBMmj5ISJM8g4h+/mDW3LwRyGCiZOcwI4TQFGWAs/UCLP8OyCkIFO5A1aSKYI0wza0FURgdZq7XKLrAXBNfa64fP+7LIdjaIxWdIpW6T4EYyczpZBSYlsW9jjLKElTgiDAyGK2d3tIIaadF9uySIBmPx8fq7kmVpLhOSZIQT/J9mXUCNRK0X7R1PfZZk/w7D3QXYGHhOV2kKbpHU/cTDosDzI+V4Tl0y7iR6MR586dQwixtPg+LkwY+v1KWCajPY1GgxdffHHpisOD3mE56Kg1IXIAZ8+exbbtz2rXPjGOi7AkScIbb7zBcDg89tDQycjXRLNykKwcej6KX3vn1/jjG38MQNkuY2s2SZbQDbokKkGhqFk1+lGfftjnRv8Gf3jtDxFCcKpwimdqz/BM9RmeqjyFY3y2zj53Ctu2eeSRR3jkkUfIsoxOp0Oz2eTDDz9kNBpRqVSmBOYoAlHtj/4I7bd+C9Ht5iNZmkb6wz9M8lf+yj4CMQ/bu11+4f/7u/hRgmFkXO+1GKkUXctIE4VVtHhq/SSn1hoI4GTN42ZzsG8bjmPR/PJX0P7kT8H3QdOoB30Mpbj5tbOoA8GbuQ5lvjC+XLQXZoiUPJveoi6GgjhJqDkGGpAmGVGS4ocJYRBTKDk0W4P5rwVcUyNZkvcxqZMVkGYZaQajKF/46g4DdOnQHMwPsgTwSg5ZlmEaGrquIaQgBcI0YxSneJaxNOwSmNPhOXAMhraCsKiVXSDXXE1YVpGikp07mc27jemaRsHzWPMsNC8kinLnsUG/T6edB1dadk5eBpokSrNpro0ASq6JZerECKQUdFacM0vTmGeqfS/oV+Ch6P52cFw5LMdtNHOv4XNFWD5N7Ozs8Oabb3LixIljn6tfhMkFn4xb0/cLlFJcvXqV9957j+eee45HH310ZSHzoBOWWdH9xHigXq/z0ksv3bc/Asdha3zQaOA49RKzRAVYSVaG0ZBffeNX+aD1wd7f4iHDOA/wElJQM2u4ussgGpBkOXmZdF+EElzvXedG/wbnts4RJAHr7jpPV5/mqepTPFl58tg7MJ+mhk9KSa1Wo1ar8cwzzzAajabdl8uXL2Oa5r7uy8HrWmxuov32b4OUZC+9lP/R99F+8APUmTOHAiFnkaYp/59/8hvsdLt04z79gY9WstBESppCsWTxxRe+QBZFaFJQca25RXWhaDF67DFS08J+7xKl3U121x+l+uUXyNYPC9grRYfWgnEwfck4mGVoMC64DU1SNHU0pYjiFJSi2/EXvnbVJ7pslErAQhOACforwh7DNMMPIvx5nEZBwfDQNYmuS5QUhKnCT1LSMVOydW1pICUszrqZ4CiuXGqFCMY6wn5MzAcUixcF/ThFCPJgSsuEUok0zQjCgDAM8YMhzRZT5zHLstDkOH9nPI62XrCpSIGma4zSDH8O4Yzm3EulgKer9wZhOY6uwecFDwnL0fCQsBwzlFJ8+OGHfPTRR7z44os8ssCV5W5gdsb+fsFkzGl3d5evfvWrVKvVI73u8zISNtFoPAgBiHdqa9xut3n99dc5efIkzz///F0R10/2b9W2t4Zb/NK5X2JnuLP4SQJM3WTT3wTy//YMD13oBElAL+yBgLpdpxN0UEpxrXeNa71r/N7Hv4cQgg1vg6cqT/FM9RmeqDxB1T7a92Pu7nzG147jOJw+fZrTp0+Tpum0+/Lee+8RRdGh7ov88ENEp0P24ot7G3FdlOsi33hjIWGJ05i//Q//DX/05gfEUpAlGdIDSU5GXcflz73yVZTS6Hc72JokVYr+AVH7dPwHqD31OP3GOltJiiYFLUNj3jK70BadY7UwFFGTAqlgzTYYjWKGg4DWzOONigeLxsWUYrBklMy1lqfTl1xzQfaJQggoWAaDJa+XYrHrGQACRlEyJyhT4Vgmtq3jWjojI9d0zNOgCMHK7omlS1js+MxROjBFSydc0YEJJ8RhwRSDY8wnPZom8VwXz3WpuyY3OwPCMGQwGNButzEMYyreNw2TIEn3jQi6lk7BMclEHjYpBPTmvM9jJQfXuDcWtB6OhB0dDzUsR8PnirDc7R/sKIp488038X2fr3/965RKpbv6fgcxcSq6Xwr5gyNztzPmJKUkjle4ytzHEEJw7do1Op3OAxOAeCcjYdevX+edd97hueee47EFTkefFMv0KvNwqXmJ//jufwSgYBYYRIfHcQxp4Jkeu/7u9G+pSulFvfw9UViGxZq9RpzFuLpLP+yDmAii833YHGwSpwnfv/59MpVRsSs8WXmSJypPcKZ8hkeKj6DJe6NAuR1omjYlJ7Pdl93dXT744ANs2+bxjz/mVBiiAXL/iyE6XCRfbd3gTz56jW//5z/hjd/30VyDOIrQdImQGkplVEolfvzVrzGIM1zLYJhlDEcxa+s6HFihr5RdBnFKzTb3jVxVyi7N4eF2gpRyYYJ92bPpzmzfMTQKhkYUJSRJytZub+G5WlZEl1xraWfBtYylY06moc0lQ2rcBbRNfSlhKTkmnQUjcJAHH87X5ghGYcwojJFFRWswFqbrAs8xMQ2dVAhGSYqhyZXdk3iRXdZkPy1jboE/i1V3plkHsUW3Mc/UVwr/MwWWaWKZJqVikTTLCMOQIAgYtlpIFB3LwrTy7ouuafhhgj85BwJOlVwSKYgUDOJk2j165h4ZB4OHhOV2cFw5LA87LA9xJHS7Xc6fP0+xWDz2UZXbwf3SeWg2m5w/f/4Tj8w9yCNhURTh+z5hGPLqq68+MKsmn4SwKKW4dOkSN27cWOgYdyeY7awchaz84bU/5D+88x/I1N61Z+s2BbOAQjEIB+hSR6HoBJ2F29GkRsWusOVvjUP6wDRMCkYBDY0wC+mHfRpOg53hztTZqRN0eH3zdV7ffB0AXRq8uPYCVbvK4+XHebz8OGvuYnL7Wdq6L4IQAtd1cV2XRx99lCRJ6HQ6DHyf5mjE6I03MBsNPM/Dsyysbpf0R34EgM3eFuevX+SdG+9xpXmNaNfine+HaLZGkuRWoYYDiRKs16r80LPPI02DkgEjPySIUooFk9YcjYZtagz9kNaB5Pl0wTlclmBvmhquUni6xPdjhr0Rk/SORtVjGI/mv87QlnYwLPMw0TrKvk6wLPtECKZjW4tgrAh7LK4InATozxCaJFF0+yGz7ZJS2UbT8vGolNweOJnZLylY2L2awDQ0WEFYDgZKHkTRMuiMj2XRSFi24nwLIege6PRoUuI6Dq7joABPU2x2Bvi+T7fTQdf1qXjfMi0EECUpu2P3MVPXKLsmaBrP3SPjYPCQsNwOjiuHZX19/Zj26N7EQ8JyDJis/j711FOcOXPmMx29uNcJi1KKK1eu8MEHH/D888/z6KOPrn7RHNzrx/lJ0e/3ef311xFC8OSTTz4wZAVun2ROxPW+7x87cbtdcX2mMv7Tpf/E9z7+3qHHgiSYuoNV7ApKKUzdxNZtelGPJN1fCJm6ia3ZNP0mwLSbkqmMXtRDoZBI1pwGURqxZtdJs5R+NCBRCUJMusWCilXmze03923fMVxOF0/zaOk0jxUf42TxJOve+mc+EnZU6LrO2toaa3/+z6N1u6j/9t8YbW0xSlO2O23ee7zGRf89rv2nHxCqiIJRQhMaWmTy33+zQxiBZmsgFEJmJGg8dmKDl848TbnkIISg3x+Rjq/FQtEmmqkzpYBGyWZrd3CoALVMjY6/oKMwp+AwNEnZMohHMX4/YJ4SJVoiiC+61lLB+7JsEykW58FATjYWkyGFEHIl2QhWaT5WEBrPMlYGSgZxeiCDRuE5JrZtgJRICTtLMmoAkhX3Hc/UV+6HMTvup+YrYpZ1owBKlr5gBC+HADzHppQKKBbJsowwzMX7nXabTCksyyILXTLdQNc0oiRlpzfC1DUeL7sLt/1p4yFhOTqOI4fF9/2HHZYHCcf9g52mKW+//TY7Ozt3ZfX3k+BeLuSTJOGtt96i3W7fsS3vg9hh2dra4s033+SJJ56g0+k8cDf72+mwzIrrX3311c9UXB/EAf/2rX/Lhe0LS7e75q7RHDXzYxzXtEIISlYJS7NIVEKapsRZnOtXFsDSLBzdoR20xqMnikwphALXcHF0G6EkmpRs+ztwYLV3FPu833qP671r/Kn4AYNogK4ZlGUJ+jC84nPC22DD26Dufvb3rIWQEv8v/UWu1TQ+futPuDLY4W2nxKBgErXeRU90skSxKXYxDIOLv6UxGoIyUlIlEUJhujpnHjnDk6dyLaHrWmzu9qbXoQCGYYoxNvsqOAYqTknV/NXyUsFhZ3C4GyKlpDslMoqyY6JlinZvRNhsMrxyDakyso0T0FhjEnJi6Bq9JaRi2bfF0CT9hTbJUPLMhSNqAEXbPNQ9mr6vgqKtL+0YHCWfJVgxHuVa2lKiIAVzjlEwHMUMx39vFG2MKKHommi6Rpgp+nEyHduSgpUjZY6xfD8gd04D9myhD9wzCivG52A1gZt9H8ivK8excRwbBSRxgkpCWv0BURSh6fpUvP98Yw1thT30p4mHLmFHx3F1WB4SloeYC9/3OX/+/CfSX9xN3KuExfd9zp07h67rfOMb38A6YAd6u3iQCMusUcMXvvAFTpw4weuvv/7AHN8ERyUsrVaLc+fOcerUKZ577rnPVFzfHDX5pdd/ic3hJhW7gilNgjSgH/ano1wADa8xV4CvlJqSk5pTY5SOcHSHglUgyRJ6YY802/u+FowCqcroBl1gUhMJtHFxFKRBrnNBMAwGSCHxjCKmZgKKMIsYxT5Fs0iQhoziXHuRpDE3/Bt0e12al/LOTsNt0A46rDlrrHsN1tw11tw6NbtG1alSs2uY+qfj8pNmKc1hk+3BLrf6W2z2trjauc7OYAdLs9EfdwmTE5TtEiVApYq+7+MHI+wULvzOiJs3RmgWkNlIkeK5Gi8++Twn6vmI3HrN49ZOj1kaUCpaBHFOWNaKNq3OkCxTCH1+obXIFrdSsOmFCQ3PZDgM6baHoEC+9RbFC/+Dkcx/H6R8i+zMGbKvfx2EoFQwaQ4WdGyEWEpmSp61+LUsdyXLN7+suFXommRZ+V2wDVrDJe8v5b5xr3lYNXJWdMylXSLIx9riJKXV2yOSUghKroVpaWiaZHvFfqwa5TI1uUdGxk8VB3oseR7Nqm7R8nu6pcuF2xCAYejUKx6mE5IpRRiGhGFIp9Mh0gacPz+kXq9Tq9WOZBt+N/Ew6f7oOC6XsAdpImMeHhKWT4Dt7W3efPNNTp06dexuRXeKe5GwTCyej7MAvReP85MgSRIuXLhAr9fj1VdfpVgsAg8WIZtACLHyM7t27RrvvvvuHY0LLsLtjIABXG5f5lfO/8pUVD+rSTE0g6JZRAqJLnQ2h5tLt9VwG+yMdvJMjTTeG9EXULSK2JqNlJJBMGAUL7awrdgV/MQnTiOk1ABFP+5DtEef1uw6cZZQMIpIAxKVMIx8AvLRIiEkNbs2JVibg1tsDm7te5+606A1amHrFmW7TNEsUrQKFM0ijuFSMkvoUsfWLUzNxNAMDGkghEBDIyMjU/k/cRoTpzGjJCBNEzpBj0E0YBAOaY/adIMe3aBHJdJov/sm7O6CYSBOnqLy9EuYhscoDknSlGa/SR2HTuBTrjQo2QXe/sMet276eJ5NoinSLEOXGc8++gSmlPi+z+n1yljPsb8wzYRAl5KaZ7I7FtaXCvZcobhrGwzmWPw6ho4lBSqI2Jnx9hVbW8i33mIkdbDHCzRJgrx8GdVooJ566tAq/SzKnrV0JGsV9R+tKJ6XdRSUgihRLPNzWBWyWHRM2ksITe7CtpxImCtIl64JenM+k2ycIcMQGkUHNQgpeyamaRADvTghy/a6bKs6MEVLp+nv6Vfg8Ee3inzpUq7UyRRMgzBZane2t9giBI5t49g2qlzm//3K45ixP809mtiG12q1Txzaeid4OBJ2NEzChx/aGq/GQ8JyG1BK8cEHH3DlyhVeeuklTp069Vnv0iHcS4W8UorLly9z+fLlYz9fD0JBPxl7Mk2Ts2fP7vOsfxCO7yCW2RorpXj33Xe5efPmXRXXH5Ws/ODmD/j3F/89STa/wIjTGD/2MTSD3XB3KrwHGMQDgnhMDhCsuWvs+AvsjxX0wz62Y7M92EGpDNdwcQ0XEIRJwCAaoFDUnTXaQZtM5d/vg90XpWDNWWNnuJNrdEI13QeEwJAmZb3MutsgyzKqTpUwiRglI9SMiUDDXZ/u7ygZMRqM2GRzur8Nt8HOcM/9bBYFs0icJITJYd1FySoRxBFRsr/ANDSDUiBI//B7rLd6YNlEKkDffIfObo/2F78IUiBu3uSRi1fIOj08XdA7tcGo+lUuvjbMtQymQCCplUz+7A//MGEm8uRxFfLuex8hJqnjtoVhmHiuRRAOMaSiNZNzYlrzheyeZ+H391bxC7aBhaDTG7EdJVNNzATi6lXcJKRfLDEZAUM3IAmQH31E+vRTdIeLCcnS8aEVdsa2qTFc6R62+HFdgh8nFJY0wlcV39qK71jJNekuGWmD1SNlJdtYaHQwQRiPQzAHe2J+IQRlz8I0dYQu2F2hgdl3v5jcw2b/Jlgc/DnZV0tfmNEzu51VGMzJ1SlZBk+dqAN1Hn300X224ZPQ1nK5PHXm8zzvrndfHhKWo2FSr90JYVFKPbQ1ftBwJ1/QKIp44403GI1G+1bC7zXcK4Rl0jnodru88sorlMvlY93+/V7QT1zSFmWKHEfI4r2GRSNhcRzv+24d90130lU5UnK9UvzO5d/hj2/88aGRj1kUrSJRGuVWxOwX3gM4hkPJKKFJjVbQWrQZYEIA9giNH/v4M10WTehseBvEWUzVrjCMfYJkv45CiJwY7fq7SG1MDCc6DKVQKkNmkjANudXfnB7bhPRYuo2jO9iaTapSGu4amcpIs5Q4S4izhCxLKVnlhWSlatfoBX3SOSSv7tQJ4whbsyiYXn69K5BCI4hCeu/9KaLfodeogBSsp2V2wyHq1i2sRx+nrFnof/QmW1mIsm2MJKN0fpP/uvUeYXUDBCRC0KgW+NKZFyhXSnT6AafqJXabQ55//iTXdzoEQUCzmQd7PnqiwmAwwrKgWLSm53ERiZjkaxRtA11Bu+MzAGoVj9Ycm2OiiEIW4x+8joSAMKRcsJd2UJalvxc9a2qxOw8F2yRYItZ3LX0pYfFMjZFafP07ps5oyeuBlSGMxoruiaGvHimTKzQbi8bScgKTn5+1gg1+SNm1MC0918BE6b6Rz9lu1OSvs/eHsmUsFdMfZV8Pvs88LDIHeK6xvx6ZtQ0HprbhrVaLK1euTB+fBLveDVfThxqWo2HyO38ctsb3al16XPhcEZZPik6nw/nz5ymXy3zjG9/41Furt4N7IYdlMBhw7tw5bNvmG9/4xl1Ju71XiNntQinF1atXee+993jhhRc4ffr03Ofd74RsHuYRFt/3ee2113Ac566I6yedFVgtro/SiH934d9xfuv8eIehaBaxDZs4jelFPbIso+7W6Yw6pGr59TdIBgyjvDiedE0UCj/yGSUjdKlTMktLwyelkFSdCjcHN/b93dItXMNDlzpZliKFzInE+PCEECBAG//BTE2uta7jeA4oRTYZa1GAEKRZRqbUwtE2U1o4ukcn6GJqJprUkeS5TwKBZxQYRkO88TFmSo0JT0LZKrMzaB7aZsksEcRDoiRE7myDaYKA9cQiUBkNo0DUH9Frt8huddjOQuxChbLS6KfwG7capIlABSFGzeXkepWXHnuOWq1AdxBSLzrsNodoWp6f4boOrusgEBRNwWanTxQlhGGPIBhh2TYn16sM4vTQdVJwc0JTs0xaneH+A1l0Ta2tEV0xIMv2HMQmBHJjA3OBTgbAsQyGS1bsLV2nv0Rhkq0YGFs1voRg6cyZZy0nLPaCAMVZrMpOKVoGrRXjUaNo+T2y5CzX2QAkmSLLxgRmHLeja5KSZyENnUwoWjOdoOk9bOZjXzW6BqzMZ3FMfeUYn2vONwd4trG8UJ0Nbc2yjE6nMyUvb7/9NqVSiVqtRr1ep1gsHkv35WGH5WiYaH3u9Jw/1LB8zqGU4tq1a1y6dImnn36aJ5544p63BtU07TMtdCf6nkcffZRnnnnmrt2w7seCPssyLl68yM7ODl/96lepVhenlt9pKvy9iIOf2aTLNNGCHed363bF9d2wyy+f+2Wudq/ObAT6UZ9+lHdRNKHxSPERojTCNd1pd+UgylY5H6VK97ogB7smJbuMI20ylVE0i9P3mIWpWTi6vS98coIwCQmTEMdwkGgM4yG6puMZHqY0QIh8bC3xUQFc2fqYSqWC6+aEYkLmUApHcwBo++2pZfLsZ+EZBdI0oz82D4jSFNJoeo4a7jq3ercO7aNAUHfW5pKVmlOj4/fIxoYDJc3GjmKk5dIWMaHI6JHgoHCFi9j5kKq0SRD0MvjT99cIlI2SGVIknDl9kqdPPplzB11S1S2arZxYVKsFdsfOXrapYwiBaeq4nsIPQmzLQkpJEARs7mwzCFLs6fiYjWcblBydmzsDDlbxUkh6C4ITtWeepvvRh9Dt5YRFCEgTcFyy555jsISQeLbBaLC4wI2W3PsE85y1Zh4Xi8Ic9zCKM1iyMLdKpO5ZBkG8JFBSCvorxqNW/XRYhsYwurOuhhTzNTBJmk1F/GsFGytKKXomSpN0RlmeizTz/HCJNTWApa92IfMMbSVhSdL55/3ZtaOvrEspp52Vp59+miAIaLVaNJtNrl27hhBiSl5qtdonWnCc3H8fEpbVOI7zpJRiOBw+7LA8SLidgihNUy5evEiz2eQrX/kKtVrtLu7Z8UHTNJJk+U3vbmBW3/Pyyy9z8uTJu/p+9xthCYKA8+fPk2XZkVzl7oVO2XFjtsMyEdcv6zJ9UtyuuP567zrfPPfNqTPXPOSdjio3+nudDkMzKBgFdKkzSkYMogF1t0571N4XLHkQJatEGIf0kr3306VB0SxgSINYJWRZRpRFdMPF+1S2K4ziEaM0H21JsmTf85UCPdC41d7kiZNPUPJyk4BUKZIsJkxCLM1iGA2J0mjaKMjFyAohoGpXGYTDud0kiUbFqcztEGnj7tHucD9ZMXWDmlUjSTNqTpUojRlGQ0aPnETbbtNOBjDuspW7I1xZoNlYY1CwqO32cUyd/37V5VrXRFkClQi+8tgG66eezF9TcZHNFp3X3kTf3EJpktHzT8NTz1CulRgNA/pRipgE7Kk8b8R1XSrlEpFSmFFEEASM/CFq1KMdKrqVImgGhm7sa6hUyvbCFfxSvUTzL/wF5IW3kFev5p2t04+TvfwFvPXa0gJ2WeCjrsmlxX7RNZcSkrJj0plTpE/gmDrNJMNeWB2olaNaq1Byllsuw35733koWDrhkhyafBsrxPSOsdKFTClFGCeEnXxbcZxgxwkNSydB4CcZ/SOI9lft66qQz0U6mUbBpup88ikG27Y5deoUp06dIssyer3elLy8/fbbFIvFKYEplUpHKq6PulD0EMfjEBZFEWmaPhTdfx4xHA45d+4chmFw9uzZe8ay+CjQNI04vrMfk9tFHMe8+eabDIfDT03fcz+NhHW7XV5//XXq9TovvfTSkW5OUspP/XO825joct5++21u3bp1VxYCbldcf37rPN9++9vYuk3drTMIB4Tp/gLU1Ewc3TnU6YjTmHbanv7/Ce8EkYqoO/UpgTmIulOnE3QP6TySLKYd5Nuq2FX8xMeQBmvuGgJBmEb48XBqArDmrNEOloylKUHaS9jyt1hbWyMSEbv+fvJQd9fojNoYmoFruuhSRyAQSpCpFB2DMI1wdS8nYELtzfUriWu4+NEQzywghUQKgRQSDYkhLZIsYc2rT3UwYRxQMsts9rb37YdjOMjHnqG906J0cxsnCdAywa5t0nnhSWTBZf2pl+lvf5+3r6d8cLNEZgm0RPFnPYF95iUg/87o/R7d3/5d5HAIhkE9jWhduMiJrZtsnf1zKKlRKFj05uSPlEsOO70RtmXxyFqZbtdnFEQUi4qd7pAw7CKlwLLsaQdGLCnIFIDrkX3962SvvJL/cXw9urbBcMGI0KrAx/IKO2PL0GAJodCPEOa4rHQu2ubK/JVl+ho4EMI4B7ax3DQAVi9AmrpcuQ1z1b1YcYiMKBRhnLEz7uDVXBNHSnTbIMoUvTkkaVWvXLDaxGCRTuagfuVOIKWkUqlQqVR46qmniKJo2n25cOECSimq1eq0+7KoNprNuHqI5TgOwjIY5L81DwnLA4ZVWRBbW1tcuHCB06dP8+yzz953XzhN0wiCxWLL40a/3+fcuXO4rsvZs2fvinhvHiYdFqXUPT2md+PGDd5+++3bHil8EEX3k9np0WjE2bNncd3jTWW+HXE9wH/96L/yf7//f6OU2kcuCmYBx3BI0oQ4i0lVurTTIaWkalcP6T9MzaQwLuajNMKSFjv+LsvKlzW3MQ6fzIjHJGUPAs8sULHKRGlCySwxTPLuyL79UZJ+c4CfDllvrM+9h617DbbHnZE0SfcZBqCg4a2z1c9DKbOxgB8USpHrVFTGdridE5yZ01wwC4zSjCBuz74dUkgqVoXd/n7SVLLKWJqN0hXZ116lc+s6Zj9jOw0xTzzC2vpJpNLZPKmQJ17krbcikCl6avIXHEHxz/zPDG0LTZM0qh7b/+0ccjhEFQogBMq0aUQROzebcP0GPPYYtmsx6B62jh7FKRXXJIkSdpv5iJ6ua9TqRTLdQikIo5AwCOn1emRpQm/YQzdNLMtG1/XpuZBC0p3tvBy4FpeNEJULFu0xYRHkBMTU8qBQKcCWkoZnTUf6Jr9nuWuzQiYZVVObfjbT78H4vw0Ba66JAtIs13AkWUaU5jqmVGXjztP8749laEsJi2cZK4nCqjySgqWvdAhbNlIHuQamuUIDE64wDijYxuH3UfvJkpSS1oz+xdAlJc9G6JJBkhEk6UoyUrSMlS5ji3Qyz93GONjtwjRNTpw4wYkTJ1BK0e/3aTab3Lp1i0uXLuG67pS8VCqV6b3mIWE5Oo6LsAghjv039V7D546wLEKWZbz//vtcvXp1Gt53P+LT7Dxsbm5y4cIFnnjiCZ5++ulPlThMboT3KmHJsoz33nuP69ev8+Uvf5lGo3Fbr7/fRt5WYTgc8tFHHwHw6quvHqtxxe2K65Ms4dfe/jX+5MafzH18EA0YRAOqdpUwDXF0h6JXJExC+lF/37iXqZvYmk3TP6zTiNKI1qiFEIK6nVsSV+0KhmYQpTH9aL+jVsNbZ2e4fWg7E0ghcDSHG/2b+/5uaiau4ebjZFHC5q1bKB3Wqo1D50EKQc2pTcnKofdAo+pU2RnszLVNLpklhmGeA5MPjuVkRiCoOlWG0ZDkwP3H1EwsadMatnFNF8fIhe+GMNjq7tJjjyw2nniJJFWUVEZ31MNLBInKELHJ71/ZIGrkVtL/y3NnqD77DLt+gqZJPFMnSDPE9jZoeh7KKFJUJtgWFkLFiFYT8cTjU3eoCYTIU+ENKWi293fFBNAbhtPn2ZaFbVmUyyUKrslmu0cYhvR6faSU2LaNbVucWKvQWaAjMXSN/oyNrhQCz9QwNQ2BwtIkqS4Jw4QwTAgEzO6xZRkLC21d00izYJ/D1b731uRSsbtpaCRDQQFFxdQouiYZOakJx8V3skIs75r6UsJyFPevVR2Jo7iUrfpdyB3Elm/DMbRDhCUniHvbPjjqFScZzRlCXC/YSE2Q6Aa9KJlreGAZci+baQHmkVwpBE/XP51VdSEEpVKJUqnEmTNniOOYVqtFq9Xi7bffJk1TqtUqtVptKv5+SFhW4zgIi+/7FAqFe7IWOk48JCxAGIa88cYbhGHI2bNn7+u22qdBWJRSvPfee1y7do0vfvGLbGxs3NX3m4fJF/xeFPbFccz58+cJgoCzZ89+IueOB0l0PxHXl8tl0jQ9drIyK64/KBg/iGE05FsXv8WF7QtLt9twG+yOdlFK5Q5hY8G5JjWqVhVd6rn3feJPH5sHXeoUjCK741yTydhXDkHBLOAZHprUlmpoDGniGR67o8MC/CiNiNIIMzW5vnkDu2BTLBbRpYatO1i6hYZESIkuNIaRj6M7hGk0zXSB8eib5s4lXwBr3hrtYYeMbBpaObFNrjs1msM2CoWpmXmgpG5iaiZZqgiTCF3q+JGPH/k03Aa3JqNhCkpOEUdzaQ+7REmEJjU2vBP0/AEjP+CP/nOL4SCiuFblz3/lq2QJ9OI8jd01c4LS6QVoRu7K5ZFgo9hOZ2b7dYNa1WN3hrAopah5Jraus90+PMJXLrl05oyPAdiOSSH2KBQ8skwRjbUv3W6PJBwQKB3btrDH3RcAXQrWiiZJqkjTjCBI8Ech/ZmGj+OajCYF/4FL2XOWdy+Krkl7iZ1x0bXybsACWIZG3w/pDyMyRhyUuuiaRgpUDQ3d0FBAlClGcUo8XmBZmV5vmyudu1Z1JBa6lIUh8uJF5McfE6Yx8sxTZC+9vBfcuW8/DNoLPtsJ5utK1LRhZmjaSvIlYDo+JoSgXMjzX0aZmqbaxwvE9BNoUs7VyZwuu/n1/xnAMAw2NjbY2NiYir6bzSbb29t0u/m97P3336der1OpVB5aHC/AcXVYXNd9SFgeNBwcCWu325w/f55qtcoP//AP39OWxUfB3SYskzyaIAh49dVXPzNyd7D1fK9gMBjw+uuv43keZ8+e/cTX04PSYbl69SqXLl3ihRdeQErJ1atXV7/oiLhdvcqtwS1+6dwv0fSbmLpJySiByDsqk5EogWDNW1toNZxmad4pcapTl7CqkxOYMAnph/3p6rZruAgEnaA9d1ugiNOEkRhNSY8uDQqmh6GZKJUxikf5/UoIOmFn4bEZsbnPCSzf14xhNGQYDXENB4FkGO+35NWljqGZFHSPTOV7PtHNTC2SEehCJ0kT1twaCpHrWRQolWJIi2E4xLVcwjgkTmOiNKJMme5wQJIl+0bH1pwGO/0WZaeEqRmMogCpdLa6O0ihsV5oMAoiNtvbNIpr/P6vb9Jrx9TXKvy5r36N0SCivlGiPQhxDJ1eb0R1vQRhQvbYY6zt3CIcKZpufm8SwQh0neyRU8Qza/eebTDSJc3WEKXNT0jUl1gP92Z0JlKKnJzYVp4vowsY+mRxSDAaYEiJlCYBGkVTo92fTxpc28RfGvhoLiUs2ipXrBWP26Y+LsDVwSk2ICcK3QVFvmXquLaBlmXUXZMwzRhGCQdr/lVxJK6l4YfLf8PmupRFEfpv/Tb0erhxgK9byLcuIj++SvL/+ktg7f+M9RU6GgH05nTJ8rfOX1u0dVrDo++rUoruzGdvGhplzwYUpiaJFowKliyd9hyjhePUr9wJhBAUCgUKhQKPP/74NApCKcWlS5eIoohKpTIdH/s8FNdHxXHk1XweLI3hc0hYJpjNw3jmmWd4/PHHH4gv0N0kLL1ej3PnzlEsFu+oGD8OTD6re0l4P7F0fuyxx3jmmWfu6Hq63wlLlmW8++673Lp1a2rhvLm5eWxdo9slK+/svsO/fvNfTxPooyRiN9nrVriGS8EsoAmNndHiXBSAhtdg19+dHkt7tEdIdKnnGhjdIU6TJWQlz3iJs2RfhybJYjpBZ/r/ZatClMaY0qDhrAGCMIvwI59ExSgF2kjycftj6mt1LPNw4V22yvjxiDgbHXosyRIKRoFO0CVODxdnUkhqdp2bc/JZpBDU7Bqbva29PwqQmmTNqbPbb5NlaT46phRFq5BnryQRutTojnrYuo2uDMIsolGsEycpvYGPa9o0Cmv80W9fp3kjYL1S4X9+5esMByGGqdMfxTi6pN8fUSjaUwJQ+/JLtDe3aNz6GH8wzMtKwyB76SXcR06M084FjaLNbnPA0I85caI4f8RKiIXFeblg052rORA0yrlNtCs1Br5JphRRGDIMQsKwT2/QQdNNLNsed1/2ihXXXp5AH6+43w1XrPavenxSMM8W5bMwjcWFVRglWLpGu7/XqRJSUHBMLEtHSEmUKYIVblmOoa8gLIrBnOOQ770HvS4IQUGl+JrMD6TfQ757iexLX9z3/GXBnABFx6Q3141tbwx5ZRikYmkHJopT4jCh0wlB5YGgtq0TAb1wL7xSXzBFcDt2xp8mhBDous5zzz03TWGfiPc//PBDTNOckpdqtXrfLxTfCY5jSmQwGOB53gNRwy7D5/IqSZKEt956i3a7vTIP437D3SIsN2/e5OLFizz55JM8+eSTn/kXQwjxmWfOTKCU4vLly1y+fPnYLJ3vZ9H9ZCRuMmI5WfFfZXhxVNyuuP4Prv4Bv/7ury+1GlYo/NhnEOXixZJVwtIs4mwvMFKQp8kvC3pMsgRd6mwNtslUihCSklXC1HKR9CAeECYBNadGL+xNXb/moe6uTS2SR3OeZmk2YTvAj3xefPwFpCYJkoAgCaarumtundYSm+W6s0bbn/+4LnPb5oPWxJBbOru6y+6wdeixDXcDP/RZK9SQQiNKY8JxF+Vmd2t6DRTNIq7ukWQJg7CHpdnITMfUBRKdC3+6xUfvdHhs4yR//htfo9UekiQptfUSIz+iPyYplmsx6I5oVBx2dvrw6qt0Bs+T3doGTSM7eRLKZVzPRsYxxBk7u3l3TKHQDY15NXS16CwcGTItA8aERZOSsmMgUkW3P0IlKbszGgYpxFjbYlMubLDb8wnDgGAU0Ot20bR8dMyybeLMmft++fuIfV2dg3AsY6mN76rHpRT0V1j8Bitsgi1DgxlerDLFYBgyGI+A2YZGmKQUXAvbNkBKggOdmFV3iFwIf3g/xPXrOUGREjU1GhCQZYjr12CGsJiaXBrMOXnOPOQdz/y/l3XDILdNXjUyZuh7pgh9P6Q/vuZ0TVL0LDRDI53zW6BrkjO1e3NVfTY0UgiB53l4nsejjz5KmqZ0Op0peRmNRpTLZer1OvV6/XNReM/iuDQsDzssDyCGwyGvvfYapmnyjW98A8uaPwpwv+K4CUuWZVy6dIkbN258IvH43cS90IWYkN9Op8PXv/51SqXSsWz3Xji2T4LZkbiD4vo7JSy3K67PVMZ/vvSfeWv3LTzTWx70mI4YxaPp+8x2PfIuQw1btxnGQ6SQCwlAw23sIzRKZYc0LicLJ4nSmKpdI84Oi+8B1t11tv3FxEhTGu2tFsN0SK1epxPN6F8E2LpFzakRJhF1t56fjywjHafPJ1lC2SizOdyau33HcJFK0hkd1tV4poelWaRZSt2t7Y1nqgxN6ewOWmQqYxD54+e7CKUxjH00qVF2StiazU63RX/czVp314iijE7QYb3Y4NKFTd750xbPPX6GLz7zLO2uTxQluK6N70cMxjoMx7Vo90fUi3ZOVoB6rUjTNKA2e69SaCiG3WDfNaiNLYQt67A9q7akmzAII2qeBami0/NpzRAbf4mQ2zB1DEPHMPLxmSxThGFIEAT0Oh063Q6GaU0JjD5TyJQ8m/Zwsf7Es5cTklWPl1xrRq9zeCRM17SVYY+LRppm9yEYpAz8kMHMOdOkpOCamJaOyhSGJhbqOhxDn69xkZIJk+jrs7/rAg4UhEXboLlCR7PIXECNTSZsQ8NfQeBsXaPPcsISJvPPWZJmtHuj6aiYZxu4jkksBL044UzVw1hAqj5rLBtz0jRtSk4ARqMRzWaTVqvFlStX9j1erVY/NefRzwrHpWF5SFgeQHz00Uc0Go27msL+WeI4AwcnZgRRFH1i8fjdxGcdruj7PufOnUPXdb7xjW98okTgRbgfRfe7u7ucP3+eRx99lGefffYQmbiTrtEkDDJN06mwfhlZGcUj/s2b/4Z3dt+Z/m2ebuUoQY+WZhFmIa1B3k3QhEbFrmBqJlEa5boVARVrfojiBJMOza3BwVR4gWd62JqNJjR0abCzhKzoSmdnaxdlKNYajVxvsm9rUDCL3OwfTp+HvTGvnKwIdKkhhYYmtXw1VPcIk5BEpXimS6YUmUpJsxTP8BjFAcNgvy3wxFygeSCrpmKXieMUz7TxTJdu0MeQJtu9JgrFRqmBpgxutbapOCXWnDo3rrR54w93efHMczxS2yBFEQYxhqHjeCbN9p4Op1h2McOIZmtvDOlgCenaBiXXZHPnMGEtFE2yTg959QJyaxtlmqjHH0c988x+W+IxSq6FZ2js9HxGcwpN1zbww8VF/ehAoS2lwHFsHMemWnTY6g4IgwDfH9HtdtF1fZz7YiHKi7svsFrsviqdXp8pfueNhJUcg9Zg8f1WitUdmrnCGHK9VXcQUEhMBmOlv+uYOLYJmmCUZNMRrmTBPUQ9cQZx8xbFKKBv2rMHgnriiQO7sULrIwS9heGaOZnzTGOl9XKy4pxrUtBf4CY3wYRcDYN4OtInpeDFZ+5dJ9PbGXNyHIfTp09z+vTpqfV9q9Xio48+4uLFi5RKpWlwZbFYfOC6L2ma3nHtMBwO72uzqKPic0dYXn755fty5fqoOK4xqW63y7lz56hUKvesGcFnORLWarU4d+4cJ0+e5Pnnnz928nu/dVg+/vhj3nvvPV588UUeeeSRuc/5pCRsVq8ihFh5rnf9XX7p3C+xOdivuzioWzlVOEWcxVSsCr24R5IeXi0tWSWCNGAU7c25pCrdpzOxNZuiVQRyy+B+NCA+kI0ySX6fT0RUnjavxbi6O+2s2LqNozvoUidTGVEakQQJH9+6iu3ZFEvFQ2RloqE5GHK597hBQS+wO5w8rsZjaQmkebBly2/NHUGpOzU6o+6hx2wj16F0/LwbYxkmBdPDlDaD0ZBhNGIY+eN8lwb9YMhaoU4/6CMyjSAKWS+toSmT5k6PH3x3i68+8zJFs0Sl5rG508c0dcpFm90ZsmLbBv4wmI4bARSK9j7b4rWyS7vVJzTnr2DqvT76H7+GDALQNMRggGg2qXR32D37IyDyQr7qmfjDiF57iFkvkCxYFfdcC39OxguAYxsMlyTMa7qGaRiYhkGxWCTLMoIwJAwCWq02w0EXpJFrX2xr/6qsEEu7HwJWdkcOFd8H6sJVeo2SZ9FZ0bVYpaGxDY3Jx+ePIvyZfTYNnaJrogEFU586bE2QPfUU4uMrOJcv0dfHBaACdfIE2TPP7N+PFZ2Rkm3SGc0/lokJxso7mZgv2j/4PqucyuYV6FmmePJTsjP+JJgdCbsdSCmp1WrUajWefvppgiCYal+uXbuGEGJKXmq12rEuEn5WOE5b4wcd914VepdxvxWCt4vJSNid5JNcv36dd95557bDDj9tfBafpVKKa9eucenSJZ5//nkeffTRu/I+98t1mmUZ77zzDltbWyv1YJ9kJOx2xfUftD7gV9/4VYbRcOFzJkGPNwd7eSZCCIpWEVu3idOYftinaldpBa2l3ZeCWSBN00OdFc/0cPRcuxOnMZnKaAeH9R7T5xseCvYFVE70KBOYicWVzSts1DeoV+roQh93rVKiLEGgSLNsH5mahaO7SOTCxxvuOjuD+USn4a2xM2juExjoUqNgFrE0iyxTmLrJMPQJ45CSWeZWZ5vJC3ShsVHcwI8CgigkThLWnAZJkhDGUd6daff5wXc3+cbLP4QWW1QqLs3OCNPUsXRJlGWkYy1R0TPxijbbzf2fs+WYDKIRhiEpmga7Oz0sW6czx5XLNHWG73yAEQTgunur/3GMceUjSs+/iPnYI7TaPjsznYPREu1DtIDIAHiOOR07nIfhgc6MlBLXcXAdB9vU6fkBQRDg+0O67TZev4+lFFqjwdoTj9Bd0t0outYCAXkO09CmnQ0Y51sdeM7B7tBBrBpPci0DP1pewC/rEkVxQhRJ+mNCqGsaxYKNbmgEWUY/TEh/9EcJn3sa9dFVUJA9ehr1xBmY2Tfb0JaOxsGMrmQO8hQWsfJYSpZBbwVBW+VUBswdO7MNncdq926B+kkJy0HYts2pU6c4deoUWZbR6/Wm5OXtt9+mWCxOyUupVLovp2YejoQdHZ87wvKgY3LhfxKrvFlnpx/6oR9ibW3tbuziseHTHgnLsoy3336b7e3tu27WcD+I7qMo4vz588RxzNmzZ3Gc5SMrt3tMt0tW/vjGH/Mf3/2PuIaL67n4kX/IxndR0KNSin7Yn+pc1r11wiSk7tanBCZV+6+1qlOjH/RJssNFycROuGiViNKQNEup2BUMzSTLUvzEnxavFavKMB4Sz9lOvm+gjzSutK9QX6ujmRqdUWffc0pW7r6VZDGO4WJqBprQ0YQEIdCQqAziLMZ0cucqpVKycYJ90SjRC/sUzULu9CU0pBBoQsPSLKIkpuGtkWYpSTAibG1TSHW6dOgUvTyskbzmX3PW2Ok10aRGxSmhCZ0oSrjRzjteRbuIhc1WZ4eKW8YSDtEo5Y3f2+WVZ7+AiF0KZRNpGOh6gm3oCE3S6QfTHItgFDFK0un1JITAMHNiUilYjIYhrWH+2ZdKLjudw12PUskmajZzfcPk2lJQkynpKGbw0TUyr7LvNZ5rLuwSGIY2DZmch2XF+Co7Y88xCZIU0zSgnaL99z9C9PugMjIhyU5Uaf/Qq1ieh2VZaAfIw0Ex/EEUHHNOPsve980ytJUi9VXjUa6tLy3yj9IFsg19+pwkTWl3977fuUjdRn/hedxnnpmbWwK5NfOqfQ3jJfcppbANuXIblqHBCsIyWuFUtkgn8/R6cbVD2WeI47DqPQgpJZVKhUqlwlNPPUUURVPty4ULF1BKUa1Wp/qX+0WffByEZTgcUi6Xj2mP7l08JCwPGGYDFW/nSxAEAefPnydN033OTvcyPs2RsDAMOXfuHFmWHak4v1Pc6xqWibi+UCgceWTwqMd0u+J6pRT/1/v/F7/70e8CECZ7RaOlWxTNIop8e0EaLA16lFJSs2psTxLnx5sSQlC2ypi6SZIlGMJgx99FLem+1N06nVFnSnQOdjYMzaThNEiyGE2UCNOQYTzcn1KuBFk/4cZwi/XG+tzzXHdqdILu9H1Gsc/sJMp0zEsdLo50qVM0S9zqH7Yt1qVG0SxzY1Zz4w8RH3/Mel+xq0IyFKJUQj32OJrrsWavkWUZVbdCd9TDjwJkpuOHPvVCFV0YdPtDUhFwsrzBaBTjGjY/+L1rfOmx53HMIpotSdKM4TDIC9R+QKVRREqNesWl1exTbxTZGo+HTWyTSyUbIQS7u4PpZwYsLLSjJMuF2kmCUIp6FhKkABktYYE8fP90HXPhOFHJs2n257MCTcq5mpgJPGe5nfH0e5Om6L/3ezAcgp4HZso0xbyxSbHwPq2nn6bTaWMYJpZlYds2hmGsFMPP+3rN/q1gm4RLukNHEeRnqwIlHYvegjGsCZbZOidpRhIntMefgaFrFD0LaWiMkmzmc1te6GtSLHX2Ugq8JYYMEywS009gapLBChLoWfN1Ms9u3NvF6XF1WJbBNE1OnjzJyZMn8wWnfp9ms8nNmze5dOkSrutOyUu5XL5nuy/HQe583184iv0g4XNHWO7V8abjwuRLeTudh0l4Zr1e56WXXrpvEmk/rbGpiZ6nWq3y8ssvfyrn514eCdvZ2eGNN9647byZo4yETcT1syvny7YfJiH/7q1/xxtbbyx8PExCanaNQTzA0i0aboNUpfSi/boVUzNxdGdumrxSim7YRYS5cH57uDPOW7FRKAbxkGCmoGt46+MxscXHW7Eq+8bSAASSguFh6SZkgp3NHUZZwIn1E3PrrIbbYMffXfg+e2Nehx+3dBtTmLT9zpzHLExp0fZncmSUQly/wfoAtksWhvQoY2C0u4jdIf6Zdbb6e6NxRasEmcAxLdIsIUthEI4o2B4qhSwGA4P3Xmvx4sbzuJZLGgt2d3pU18tYpDlZqRXo9AIaNY+dnR4CGAQJ2vhep5TCNDWSOKXTHU0Jn1CCctmh50eHriHHMen5IcGJEzzxwTv4KHalketsYh90l+yRU4fOy7JVdbXka1Au2ksT5hc5UuUHshdSKW7c3CMr4+M3pKBn2NjXrrL+yiukQuS2yUFIs9lECuj2bEzLxrasuYXb4e5OPvh0VJTceR2a/dubl50yC8uQS7tAguW2zvk29CnZiJOU1oyeyDJ1ip6FjsLSc3vleSjZBu0l76PGV9iysyOFWHm8BdugtULzs+h+ea8TluPIFrkdCCEolUqUSiXOnDlDHMe0Wi1arRYXL14kTVOq1epU/3K3FxxvB8dxrh4GRz7EfYlJPslRCMusHuPZZ5/lscceu68I3acxEjbJn/m09Tz3ImFRSvHxxx/z/vvv89JLL3Hq1OGCbhlWEZZJV2XynFU38U7Q4f946//gveZ7S5/XcBt5GKSCJEqm+pZJ3oqpmwglGCWjfRqSg9CkRsksT/Uqg6jPINpznrJ1G88oYGlWbn8sJVl2+PqUUqNqVecK8BVZntUSG2xv7qAMNR09tHRzKsKXQmJIAz8ZUTA8wjTKhf4z6fR1Z42dwXy3saJZJE5T+tFgzmOF/LGgj5QCS7OwdAtjGGL2BUGxiKvBKItpE1B0bZKdbfxaCSwLXRrU3DJxlNEedenTp+E1IJP0oiEFs4gfRRiGzvYHPmfKTxKFKaSS3Z0uaxtlwiid5qygCRo1l53tvDNWaxRp9vYq21rZRZOS3a6P1GSuXVAZKNBNnWwUgRqTX8Q4ldvCzRRXHn+MzWYbvd0GFSPJ6NgW2RdehnJl33mxLX2akXEQQohxKOV8LBvfkVIs7b5UXIvOuHshxmNus+2PkoppShOSFMIQzXNx3fwfpcA1BVutHoN+n047775MbJMNw8Cx9EOaDnWgIl9VfK8aTyrY5spuwjL9D0DZNWdsl+djnlnEBGGUIGF6rK5t4rommRD0wnhKGrVVxaNSjBJYVh6WHIPOCnJ1lJGued28om1wsnJvT0B8Gh2WZTAMg42NDTY2NvL8q8GAVqvF9vY277//Po7jTMlLpVL5TBdpj2sk7CFheYj7EkchLGma8s4777C9vc1XvvIVarXap7R3x4e7ORKmlOK9997j2rVrn0n+zL1GWGb1O1/72teoVCq3vY1lGpbb1atc7V7ll8//Mt2giy51SlYJTWgMkyH+OP9DCEHdqS+0CJ7krVRFNc9CUWk+9qWZxFnMIBpMgx1t3UYXBu3RYuF8kqWkKuXm4Mb4/SVFs4il5xarYRrm42TSoDk6HMY4gZmaXN+8ccgJLEwiwiQaE6cS2weE/kJILN3E1i1MYZNkCWvu2vRcQF6DakInzTIcXVGyCiglAEWmFJZm4kcjlBSYem7bPIoDkizDixN2s0G++J7lxUhVuvQzHz3LWHOqpLaJIUy2O01AUbA8CmaJ7XYTUzdY8xr4fkDJKtG7kXHSOU275VMvlbl5o4NhavvISrVeQJOSne09Yjg73tSo5F2X2nppfHwij90QGlKD/ihGCpmviSvIyKgXbPy+T38YMULD+J/+DM7ONqLVolow2Tn5KNQP6/cKBZtggQNYuWTTWUJYlhX85YJNewlhMWb0J6pSzj/ELJtmi0gUpCk4Djj782SEgILnMkqgVCqRpCnh2HmsPxggheBEvcQok1iWPVNE74nuXdvAX6nFWC5idyxjKWGRQq4cKTP0VUWdWOnKNZtF4wcR/thoQAClgo1lGeTHLvaPZs7A0SXDFdqTRcn0s1gVOumYh4kkwDP3eHcFPnvCMgshBMVikWKxyOOPP06SJLTbbZrNJu+++y5xHFOpVKbifdd1P9WF2+MiLA9dwh5A3E8dhE+KVYRlNBpx/vx5AL7xjW9g24dD0+4H3K2iPo5j3njjDUajEa+++upnciOYdCPuxO3tuHC74vpFWKRhuV2ycm7rHP/uwr8jTvPiJMkSWjNEwjEcSmYJXehsj7aXbqvhNtgd7U73a7bDMunAeIZHkqW0R+1Fm8E18h+5TrD3HKUy+lGf/rgLUzALSPJrds1ZQwhJksX4sU+Y5gXrxAmsUqnM1ZE5hoMmNNrB4X1R5N+FNFVsh/OPe81tsDPYnvs5rHlr3OptHXrMNV1IBR0RIGwbRiOMQpG6LKIycEcRPc9klAxp4LHd3aXqVRA7TYw3L9DuttmorpM89jSqDiWzjBwYuJlFtzuiXPS4eaODbkjqjTKbW3knRdMEmibY3d0jK5WqR2cYYhgaBVNnZ6eHZem05xCJajXvxEwKp3LBIg1jkjClH+TObVmWkUlJ+sQTiDNnyBolmCPQB4iX6ED0JQVHwbWWFuurVvRnx9DUxglUrY5oNqep7sMEkJC9+MJ0TGwW/sx765qG7rp4rotSijCKQOTz/+12G9M0sSyb2UvANZcTFlPXVtoVJys0NEXHoLuiexIu0fhA3oHpriA9izq8CugNAoxRRJxmaJqgXHCQhoYfp/gzn4Gly33/P3dfF4ybTXCU0EnXnO9m9uzG8YQT301kWXZPRiEA6LpOo9Gg0WiglML3/al18ocffohpmlPyUq1W7/pxPCQsR8e9eUU9xB1hGWFptVqcP3+e9fV1XnjhhftGrzIPd2Mk7GBS+2eVsitn5vM/S8IyGAx47bXXKJVKd5zHc5CETf57olk5Cln5zuXv8Fsf/NbS0TIhBIN4kI9+CaZ2xUmW0A/7JFmSj0y5i7svkJ97Q5psD7bHgnVBwcy3pZRiFPv4iU/ZquAn/qHslVlU7BrDaDB1AhvE+0exDGkgfEG72+a5R5/FtEzCJGQUj0jHwv6SVSRMIkbp/EH/klkkTBL6yeGARFhlW9xgp3/4sbJdJooTdKmzVt5APA7RB5dwmgGbcpCv7Jsm4uQpNoonybIMx3Tov/8utR9cRI4iTF2gfbRD+M5l7D/zY2j1ZwlaEr+fUPBs2tsjdJVR6bfYubUFtTqaY7PRKHLzQNij0DVKBZtoFNEeE4tyxWO7fdjGenJn8BwDS0pazfycN9bL9MKYdquNpmmYljmW+CjavWEuDhdMx8cADEPSW6LRWNZBsVd0FyaFqyYlmhTTf4TI/40QlN2x45FS8Jf+F+Tv/T7i2lWMMGbolZAvf4HkhRcPbdvU9YVkQgiBbZkYhsG66ZAkKUEQEIYBSimazSa2bWNriixbPMJUdE2ac2yjp+/DavcvU19O2lYJ4SG3Zl6mgUGp1SGNY7e0NFX79C+OZeC5JpmUtIIByxQsmhQMguVk5Cihk4vucPe6fgWOJwzx04AQAs/z8DyPRx99lDRN6XQ6NJtNPvjgA4IgoFwuT8X7nucd6+9xlmUope6oDpuQrocjYQ9xX2IeYZnVH9zN/JBPE8c9Era9vc2bb75522Lyu4EJYfksW+sTcf3jjz/O008/fcfnY/L6CdmYFdevIitJlvB/vvN/8kHrAwpGYdq1OIiKXcktgsfdFxT77IqFENTsGrZh48f+0i7durs+HrualA7qkG5lw9sgzmKqdoU4jRlEQ+Jsf3G25jZo+s2FIyYoQdAJ2BnuUq/X6acDmFnkNzWTulMjymJMzaIkSmRZRqoy0iwhzmI83aMb9KYjbLOQQqNqV+eSFUFOVoahT9kpo0uJFBoohSEt2sMOoyTIzyMgPY26XWb75rvIIMR0C5Rf+CJR4wk2u/m5spTOxhsf0k5iZLVMITMJHIW32UP//13A/5HniIK8kE8jCR9fpfj2ObTRCDITxzExvvRFhsUX9u2rV7DQpKDb9mccp9TcYth2DIZ+SKPssLvTZzhDcNs9n52dHQzDoFatIWROnitlZyocV0pNx8iEEBQLDq3+/A7Aqg5KqjI828DSNKQEofJrP0kydCnoDwNEnJIqxcEStl7xaHbnVOGv/Fl42adhKAbCBMMAP0TTJKahoRsamqZRcE3CNAMhyJQiUYooyQjiXCtWcPb2Xdc1CgWPQsHjxo2bFIsl4jji+uYOUZxgmrnrWB5aqU9lNKvuCgXXXElYltoIkxOJVaGU0YquhmebK62Z5YJ70CiMGYVxTr66Q0qeTcMxCZWiHyT7vttHCYNcedIUc8lVzbOoF+79iYh7aSTsdqBp2pScANPuS6vV4sqVK/ser1ard7ygOanTjiOHpVgs3tE27gc8JCwPIA52HtI05eLFizSbzbueH/Jp4rg6LEopLl++zOXLl3n55Zc5efLkMezdnWGWsHzauFNx/SIcPKajiuv7UZ9fOfcrfNT5aPq3WbviQTggTEPW3DWao+bS7out2URZRKufj5BJIfN8FGkQZ3neikJRs2esjRdg3V1na7h16O+O4eLqDgKJKU12g92FZEUqyaA5YJgOaTQaaHOsdMt2mVuDLRY6gTkNdoZNhABDM3L9htSQCAxpIIVGlEQUrSJKZWQosiwdC/dNtud0Vhpug5vdzf1BkZpB6d0rRO+/x7ruEJWLxKMRw7feYpClWI89Ts2p0vnwMtt+lw2nSjfV0DOBEUskdaKrAaLVR7plVCboX76O98afIJOUXaeCIxSy38d87Qc03QKs5doxKfPclFub+y2pq7UC7UPaEUW96rGz058K9aefjaNx+dpNHNehXC7vaXuEwDANNBnv6V3Gwn2lFEmqSNMsL9JFriqavNax8w6KJiWeZWBoAqEUSZISxymd7R5Kwbwo07VagWjZaNCyRQLXJS07MGNAkKYZozSb5n9oApoLdDe2ZVDSBbYwQcuT26NUTceQLMvixFqF/igiSRKCICQIAnq9HlLKMXmxGZjLy4jZ7JR50KRYrV9ZUdDlGpjlZMSx9JWEZZUWp+iYtNqKvh8jmvnCha5JSkUHoUmGSXqkMMjhCv1KwZ7flbsf9Ctw/xKWg5iYV5w+fZosy+h0OrRaLT766CMuXrxIqVSaiveLxeJtL+pNfgsfjoQdDZ87wvJZ6wE+Dei6Pi3kfd/n3LlzaJrG2bNn71u9yjxIKYmi5T90q5CmKRcuXKDT6fDKK6/cM+FLnxVhmYjrd3Z2PrG4fhEm370kSZBSHmkE7NbgFt98/Zv7NCqwZ1c8wYnCCVKVUrWqdKMu6Rx3rpJVIkgDRtFegZep/cnwlmZRtsoooObU6IeDQx0TKWROaPz5hGY01qRUrCo3h7ltsa3ZOIaLLjUypYjTkDAK2dzaRhmKtUZjKq6fni9yC+Wd4YKxNTUe8xo/rhTEaUxMXuh4hkeYxPjRYecz13AQStId7S/ohRCs2XV2+numAAXLwzVcVHfA8OOPCFyDvmNRUiaJaeN0+jSubhI/8Sy7nS5lw8ZIdOJUUJQaJBJzZBP4GZpICWIYDEeY2Dhb1+gHCeValYKCJIGhU8SI+oiPr6LWGliWjmfpbG8f7qqJAwGJJc9CZBnt1vAQEQiCgIHvUygWKBQK+649AVOnrlnhPuRkqT+K9rIls7z7UrBNHFNDyzIKUjD0Q3rD/aNRtarHcEkhvczVCljoSgY5l1kWVAkwWEIEgjDG93U6B0bdFGBEMRVDo2xoWNIiSk18yyQpeGRKEYVhTmCGPS63W1hW7jpmW9ahsdFl2SkAJceiPVxmibxav1J0jJX6lVU5MKa+OhzTMrRDY7pJmtHq7NHRgnJpOAaxgl6YkB1YQLENnWDF8TiGtoCw3Pv6FXhwCMsspJTUajVqtRpPP/00QRBMtS9Xr16dPj7RvxxlJG5iaXwndelkJOwhYXlAcZQ8iPsZk87D7u4ub7zxBidPnuT5559/4G4gdzoSNhqN9pG5eykZd3ID+zQJSxRFnDt3bhoeetzkdnJMV65cYX19nVJp+Y/vxZ2L/Js3/80+YnIQE4ewzcFe8OFsyGOURvTDPjWnRnvUnhueOIFneCjFgc6KwDMKOEZuNBClEQLmZrVMYGoWtm7TmnECC9KAIN0ryqzM4uqt61RKFTbqG+hSRwhBmqVEaUSURnhGYaHGRhc6Jbu8kMyUrQp+NNobjZtBySoRxCFRsr9INDSDNWctT7UvrBGlEX7kI5F0hwOineuIaASVCnVlo2caKTEd16DeH6ANYkzLQNTWUV4Z0emheQ2MkUHia2TDAWntNB001gplfD9k0BmwpikSBWGsiBVULOgkJvg+5aJNMAzRCjZptv86sG2D9ri7oGmCWtFhZ7tHuezgHyheh8MhnW6HjUdOoBuHv+flsrtw5KhSdmn1c/tm19BI44Reb8SwMyQ2NaJ0nMsxkxk0KT+WFSJSiqWEo+BaDJaQnaJnLX29a5vLk+WFoDePEClFHGd0uz66kPsIjW3pOI6JXrBJyR3Mrjd7hEFIMBrR63bRNA3btrFsG8eyVmanaCs6Erpc3T05mn5l+X4UHYNmfzm5mhgvLPpYDU2y29vraEkpqRYsNEPHT3LxfsFaTVgW5fI8s35vLKitwoNIWA7Ctm1OnTrFqVOnyLKMXq9Hs9nk2rVrvP322xSLxen4WLFYnHs+jiODZTQakWXZQ8LyEPcnpJTs7u7ywQcf8MILL3D69OnPepfuCu7EJWxiPrCxscELL7xwT95cP01r436/z+uvv06pVOILX/jCsTujTI7jpZdeYmdnh9deew1d11lbW6PRaFCr1fa1xX/v49/jNz/4TTzTo2gWGUZDRsn+isTWbQzNONR9mYQ8TlLq1911oiyi7tQJ05B+1M/HfWZQsSoM43nCecUwHjCMBxTMAqnKiNOYil3FkAapSvDjEcF43wpmkTRL6YU9FsFMLD4aO4FZrrWvwwNgGzaWZtGPeriGh6WZaFKbdmAEEl1q+NGIkl0my9Lc8UopMpVRskoMwyFSSGzDRhMSTUiE0HB0mzTLsLS8aE9VRpImZFmGUJJb3f0jbjWnSs8fkGQpjulSxkaPLW7KKB+NUoqTI40+0I981guP0B/6VH74VbTv/Xf0az3S0CJKJLpb4eazL+B5Lr4f0u+PkKUi5g1FJ8pIJ8enScgy1k5U2e34eYr1nMK6WHYI2j71ssOwH0zHvwzbhHGRrIB+r8dgMODppx5jlM6vNPU5yeVSQtm1sDWJA/id4ay0CE3TqJQL7LT6EIZgGGTj+4gAEOJQx2UWpaJ9qLsxC8cylhIWy9RhGWFxjKWEpezZdJbsn5xDaIIwIZgZZ6qXHdxM0KiWMYwacaZoD4Z0Bz6ddpvIEMTCyAmMZaHPsSYOV4jPi65Je2ko5WpXrqJrrSQsBzucc55AfxSPFzsXGBA4+wM0syybkmrIxwdtoOaYdMNkbodNwFyDgUbRoeLe+0J2OB7nq/sJUkoqlQqVSoWnnnqKKIpoNpu0Wi3efPNNlFLT7ky9Xp8ujh6XQxjwkLA8xP2HJEnodDpEUXRPjTjdDRw1IPMgrl69yqVLl3juued47LHH7sKeHQ8W2QAfNyZmA8clrp/FweT6kydPTlek2u02u7u7XLp0iTAM8xt6vcbvt36fH2z9AGBfd8UzPVzdJVUpaZYSpMFUTD8PUkhqzuHRLU1qVKwKppY7ceW5KC2UWkwOK3Z1LObPi57OAVthU7NYc9ZIVEo6diHzY39fXaMU6IHGldYV6mt1LPPwSn/RLOZamjg/riRL8OOZcROjQJpljOL5y8nr7jrbC53A1tjsbx+SwhTMAkmSEcT7tQ4Nt0GcJFTdKqM4YFDMKFXXuLVzE6NUoarbiFHCrVGL6lPPs149TRBGVJwqnKwh/8IG8cWPSdo+qlDhVuUkslRAJYJ+P9//9R/6ApsfXEP1+mA7lHRFp53ScHU2a6cgU9QbBZq9/QWr8H3CZkatVKQ54yQmhaA7LhCVUnQ6HYIgoNFo4BU9RnMsiwV7o1WaJqi4FirNOwydUczA0onnFdVKIc6fx3jjbQiCnLA88wzJiy+CEBRdk94k8HEmtHKCVbkiy2yUYXWhn64YgTKM+Ys0k1eVChb90fJOQN+Pcp3OzHkVwEahiLu+hqHDdndAqz+k2+mg63o+OmbbmKaJoWsriYS+ImDxKBoY29DoL+vAwMpxsLJt0R2FKLW4c7YqDHIUxGwng9wgQEClYGNYBqMkYzAeYSw6e9fNLO4HO+MJPg8dlmUwTZOTJ09y8uTJfMGl36fZbHLz5k0uXbqE67rU63UMw7jj8zQYDKZdzQcdn0vC8qCOhA2HQ86dO4dSipMnTz7QZAVuvwORZRnvvPMOW1tb90VY5t3usCiluHLlCh988MFdMRtYllwvpZy2y5999ll83+fqrav8q9f+FR+0P0A39Kmo1zRNBIJhNGQYDak7dYbxEM/wKFtlwuRw18TU8lT4Xf9w8Z5m6bSr0XAbNP0WJbOIqVukWXJIt7LmNsZi/sWfRdkqc2twa5+4XpManuFhavn+N7ebNP0W6431uR2smlOlN7ZdnoeKXWUQDOY+LoSgbq/NJSsCci3MjC5luk2nwmA0JElTDM2gYHnoUkMTBju95lQLJIWk5jYYfUFj7VxKt7NLEvqkmk791BPw/BfJ0oyCUSCLwEhs4oJL9sUG/ihi1EuREuqVMreu55qaxnqRdisi+frXkW+9heh0sPQUuV5n65mXoZTfv5LZW3Wvhzx/nlM7V2kqk2GpjHj5C6ixMUS15tHsjciUotVqkSYJ6+vrGIZBd8EqfbnkoGkSZWh0OkOaM12LStld2AXR3rpA/+JbIGQe4hiGyAsXMIKQ9JWv4boWg4mD1Di0ErWnkVmmL1k1Lqbrkv6SxwU5mViGhYRn/H01DR2WEBbPMRbqc8IwIQwTSgULYkHdLuDUaqBShsGIdrdDM0lZrxQIVV5sadr8wm20IqSx6ForHcRWkT/bmJ95MgvTkOOxM7VwJGxVGKRr6XvPUdDpBzC2hLZMnYJnjfdFHtrnZ0/cP7/nn3fCMgshBKVSiVKpxJkzZ4jjeKp9uXnzJkmS8Oabb061L7ebc+b7/qcedvlZ4XNJWB5ETFbJT58+fSxi9PsBt+MSFoYh58+fJ0mSOwo//DRxNwlLlmVcvHiR3d3du9KJu518FSEEQ4b85u5vMnJHnLRPEoQBQRDQbOZFtm3bOLbD6eppmkETFPvGvjSZW/fqUifLMkbJaF8I5EFoQqNsVaYakNltTXUruo2pW/TD3rSIm4eGuz5Xa5KqlF7U2+cEVqvXMXQDR3fyUS+hgRAYQmMYj9CERkp6yFVszRlbI8/ZD10aFI0iu8PDhESXGkWzzM5g7zFTt3AMC0e64xEyDT/2CeKQbtClatXYGex1pSzdpm7X6I76DA1B8MpXqHVjYt9nqEvWTj9LdzjESzWk0iHRSEJJGoA/CtEyAyEzXM9kZzPPQlnfKEImCcME6nWyH/kRSiKhqxQjzWLSmiqWHbqTjI8wwPvD38dtNQk9hwgDWm3kH3+f7M/+CKrRIBP5mEWz2URISaPRGI9ruPtGdSAfNbKlRADbO/NH+Iw5o2IARDG1S2/RkhpMxLW6DnGMuPwh4qUXiYrOXp4Sapo7hALb1BiMx60m2pfZr0ipYNNZYKOcP27Rmmd3PPP6ZUGMmiZXEppoRQfHMfWlhgKaFNP3UIDvT1LlTaquiSYVtqnoDkd0d3skQsMei/dN0xy73kkGwaoOzPLCOM+BWd498ezVuSgT2+T8K3j4fmbp2r6QznlwLWMhqQmjhDBKqHgWyTCk5NlYjkGQKvphzDPrDzssDwIMw2BjY4ONjQ1u3rzJjRs3KJfLbG1t8d577+E4znR0rFKprBwZGwwGh0xEHlQ8JCz3OZRSfPjhh3z00UdTC9rLly8zGq3ofz8AOKrovtfr8frrr1OpVPjqV79638zW3i3CMiFvd0tcf7vJ9e+33udXz/8qfuzjGE6+Su9ldKMucRoTRRFhEMII3my9iWmZ0+6Loec++Ok4ib5qV+lHfQSCmlNDkxpBHOzLbbE0C0uz9oniDxwBQTLC0i1u9m8Aubi/YBYwNHNMiHzCJMxJz5LwSUMZbG/t7HMCy7Is7xaNjW7X3DVuDjdnXiUwNRNLs5BCw9M9ojRizV1DMJMKoxRSSHShE6Uxa159/GqJEApBnqcSpwllu0SUxYRxSJSEVMwym739o3KGZuBqHs1BG9dw8CwXlMAPAm528v2rOBVkprPpdihV6ziZxiiK8fQCprBRoYYKddIIRn6EYzp02z6GJdEzgyQJaWwUafeGqGDve1hbKyA1SW93v/mv5ZjTef7Gzk16zS7DQpFoIpw3dBgMER98gPHICXZafXZ3djFNk2q1uieCH6/e65qk6lmMhiH95pA+CstbbLaxsAvS66HHEVgHsg90HcIQq9+lV9p7bDoOJnLyUiq6BNOwSzV1sMp3V6wswqVY/rhpavuyfA6i7Nm0FsxIKUCT4w7Nku/uKtetomct7E4JAZkSSGlh6JKy45BlMZKUaNCmm0GmmZyoFUlTubD7AkfQrywYsTqwR0sflUJMSU/uEnb4OQXHIFwh2l81picQ9PwIBbn+aawxeny9hGd9NiHGnwRZlt03v7OfJbIswzRNHn/8cR5//HGSJKHdbtNsNnn33XeJ45hKpTLtvszrpAyHw89FaCQ8JCz3NSatxH6/z9e//vWp69In1XbcbzhKQX/r1i3eeustnnzySZ588sn7ahVCCHHshKXf7/Paa69RqVT4whe+cOw/KpOuylHJyvevf59vv/Pt6ejRKB5N9RlCCCpWBbtgIxBsDbcwEoNglHdfet0emq5Nuy+PVB6hGex1IWbF+IZmUDAK2LpNlMZLyApYmo2lm/uek2TJfvtj3aZolshURsNtoJQiSkMGsU82diKzMotrt65jezbFUvGQqFeXGiWrPGdsTRGlEUmaUrWr3OzfnLufJbNEmESEyeFirGAWSNKUIN5fMEopWLPXDmWvOLpDycoF/K7p4kc+mjQIw3w/6oUahjBo9npoIuZU+QSdXp+i4yFTHaF0RGIQB3kw4mgYIzXJoBeiGXkeTKs5ZG29wE6zS6NaZWcwTp7fKDD0Q0b+/nuWaem0uj6WqeFaBs3ruwigZkq2p3WfAE1DtNtYtsaVy7fwXJdSuTw925qUJHHKWsGm3RqwM5PbUi67CzsRxYK9WBthW/SlyTgCfu/vWR7SWKoU2FlQmwoEGXvZC5POS37d5v8eBBFplu51Xw5cO8MVXYdVQYxLtRZK4Voai6Xl+XNWdWhWZaeYujYlhJom0cZGELbmosURSRITdTsEUYzSTTItX6gwDGNKGHRNWzpaB7kV8VIHMVbrV0rubHClWnBfW/HbotTKfS27Jp051+MTjfunuwIPOyxHxUFip+s6jUaDRqMxtStuNps0m00+/PBDTNOkXq9z+fJlzp49S6VSmRKW46ht/tW/+lf8wi/8Apubm3zpS1/iX/7Lf8krr7wy97m/8iu/wr/9t/+Wt956C4CvfOUr/JN/8k8WPv848LkkLPdT0boIg8GAc+fOYds2Z8+e3ef5/XkiLIuOUynFe++9x7Vr1/jSl77E+vr6p7x3d47jFt1vb2/zxhtvcObMGZ566qljF9dPOiuwOrleKcVvvPcbfPfKd5c+J1W549YoHqFLnWqhilbSGMUjekGPMAoJRgFpP+XN5ptYtjXtvsyGMMZpjDAEO8MdkixBkzpFq4ihGSRpTD8akGTxWPSeLHX5mjynE3bmPCpwdBctkmxtb/HYxmNYroUfj/Y5kFm6haWZhxzOJjA0C1dzaPrziVXNqdEb9Unm5M1U7AqDYHhI66JrBgW9QMtvU7QKWIaFACSSznDA1kzHpeZUieOUslOiM+pBBh1/QMUpkaYZcZRiGRYqyregZQbRMEUonWiUEsQhJbNIKPK8Dt2wqNRcdls9LMugtTNESqiteezsdmmsVfGHg/3HUcsNBnodn/YgRNg2AhioA4VQlpFYFtdu3KJUKlGYWW2slRwsQ+fW9vzP07TyhPh5cJzFCe3FjTrDk48gbt7M2wWalpOVOIZqlezkCegu6C5I6A/3tjtrh6yUwrZ0/CBGIGaIzN7vlmsbjOa4SE2gSbk0vwWWBySq8TaWoeTZ8y2RZ98jXk4CCo45t8sjRC5aNk0TzzZJhwFhGJAFIyK/T2LoSNMm0wxOrpXpjpaTs1X6FcfUV+pX9JkOz6Jb8qpxsKJrrhxNM/T55/3ZU5Wlr7uXMPkdeEhYVmPZeRJC4Hkenufx2GOPkaYpnU6Hra0t/s7f+TvcuHGDL37xi6yvr0/vE3fym/7tb3+bn/mZn+Gb3/wmX//61/nFX/xF/uJf/ItcunRpbv30ve99j7/+1/863/jGN7Btm5//+Z/nx3/8x7l48SKPPPLIJ96PZfhcEpb7HVtbW1y4cIHHHnuMZ5555tBF+nkhLItGwuI45s0332Q4HPLqq6/et3Z/xzUSppTio48+4sMPP+QLX/gCJ06cOIa927/9WXH9bAE2D2ES8u13vs3l9mV0TSdJ5xcLVafKIBwQZ/mPfJIl+wp827Q5UTyBLnTaYRvd1wlGAYPBgE67g2EaOLaDbducLJ0adzLyfUyz5IDTl+CEd4JEpViAIXUG0eCQlqRm13JhvJq/z0opon7ItdZ16vU6gcy7QQC6pmNrFp5ZBJWRqYw11yTOcmexIAlJ0hjP9FAZdIP5GpyG29inSZnFmrtGa9hGSolnehi6ji4MdKmRJCmjOEAp6IcD+uGAmlOjNWyTjg0FbN2iYlfxgxH9YEA/GLDhbaBSSNIhKIHIJGGSIBMN07TJQkGagMoEMpV0B30apRrtzpAgjFivVgmDlFYnH8srOQU6wQivYLDb7GGaBq3W/lEw3civ/eYM0VCPPUb1w3fykEHHySvbMCQDwhNrWE4Rx3GQUlArOYwGIa2dPrXGgbGtGQxGi4vuYImA2nFN+l//Otrv/z602zlRASiVyP7M/0RvuHglvVxwForEhRAUPZswyT+Pfd0XlY+TOZaBH8S5rTSHF+BKBWupDbBl6gyXrfQrRZRmeEu+w+Yibc8YuiYZrOjArHLUsgydYRChaRLXdce7poiimHAQkKYDdoYdhG2jDAt0E0M39o1rTUaslsGzjJWEJZoZO5tXGB5FtG/pOn2WE5YoOXy/l0Lw9InK0tfdS5hnsvIQ83E7tsaapk2Nai5cuMDbb7/Nb/7mb/Ktb32LK1eu8Oijj/ITP/ET/MRP/AQ/9mM/dtuhz//iX/wL/tbf+lv8zb/5NwH45je/yW/+5m/yr//1v+bv/b2/d+j53/rWt/b9/6/+6q/y67/+63z3u9/lJ3/yJ2/rvY+Kh4TlPoJSivfff5+PP/54aeH5eSEs8wr64XDI66+/juM4nD17FsO4f+Z+D+I4CEuWZbz11ls0m83PXFwP0A7a/NLrv8SNsTZkEvJo6RZhEtILeygUa+7a2JlrcYdJCokf+wyifGW+5JQ4WTqZOzAFA1r9FkEQIHzJhd0L49GxPA/i4H423DW2/O19TmDaWLdiSoMMhYHOtr+Tuz3NPRmCrJ9wY7BFo9GY6msmSNIEwyzS9HeXOIFVxiNegqJVRJKfUykkQkhMYRJnEXW3NqZSeTGbKYWjObRHHRSKJE1yIhhBySrSj+JDo2MNt8FOv0XBdHFMmyiJsaTFZifvtLimS8kssdNp5S5kXp1Wt8tasY5IMmzDIRkpNHTCMMUQFjutLo5j02oPCKMYyzQYjeKpjbFjWwSjBN0SdLo5SSmVPHZ39ghLuWxj2wZbB7sihQL86J+HP/hjGI1AKVJdo//oo5z6xtfwA0Wt5NDvDtndyl+r6ZLOAnF6sbR45Mu2jKUZKmGcgueR/sRPIG7dgn4fXBf1yCOUqx7dJYL5eZkvs5i95g92X2b5s1JjOq3UWCOTP39e1sksCq5F2F0scDF0jVGUUl2yjWRF16LombT7y7NThku6RAAF1yTs7v+eCCGwLBPLyicKHFNjt90n7HRBJTiuie15JJqJZhjUCs7cEatZZAd9vg/gsG3yYcLiWSbBAqvxCeZlrsxCLrBnPl0vYJv3T6k2+c16SFhW405yWF588UVefPFFDMPgf/yP/8Hf/tt/m+985zv8o3/0j/hrf+2v8eqrr04JzFe/+tWl24qiiNdee42///f//vRvUkp+7Md+jO9///tH2h/f94nj+K66r94/34JjxP04EhbHMW+88Qa+7/Pqq69SLC5eNbwd96z7GQePc2dnhzfeeINHH32UZ5999r78nGdxp4QlDMOpzfW9IK6/0rnCL5//5X3ZKQdDHk3NpO7USbIEV3cZxsO52ypZJcI0ZBDvjREFSUAwk96+Xt2gbJQI04jOoEOzv0u70yFLM+zp6JjDieLGfJevLKEbdBAI1tw1Nv0tNKFRMkuY0kAISZzG+IlPkiQMWgOGyZDGemPfONoEa+5a7vS1oECqO2u0/fahUEuYuJpVueVvHnpMitxgYLO/deix6ejYzPfEMWzKVoUkSbANi0E0xI9GeWZNr0nVreQkKdPZajepFSrowmAUhtQLNdJQYWKRxQKVCcIwRaWC7VYHz3NQsSSMQlzHouC4bG/tEY9qqcj2dpdkvGKt6xrdTv6ZCQFrawV2droIcfj+ppsabXuD9H/9X2Fri2Gvx9B1WXv0NK5tEw6H7Gzt70pVKh7NOdkrAPayka+iQ9AezH3MNHW6Ex2MlKgD4w+r8lWWdW5ALewI5N8vxTBI0DQNpUCpbDyipMgUuU7CD8lmSMyct1iKgmuwTI+Rdy2Wk4BVI2W2qTNaMUK16u49IVae5+J57rj7EtFrjwjDNqYh0KsFMG0SYaDp+tzzsSycE3LR/mxHbO4ailglpl/tVFa0zbl6qmfuo3Ew2CMsD0X3q5Gm6b5x/k8C3/cpl8v86I/+KD/6oz/KL/zCL3D9+nW+853v8J3vfIf/8l/+C3/wB3+wdBu7u7ukacrGxsa+v29sbPDuu+8eaT/+7t/9u5w6dYof+7Ef+8THsgqfS8Jyv6Hf73Pu3Dk8zztS1+Dz0mHJf7TzFf4rV67w4YcfTp3SHgTcieh+4oxWrVZ5+eWXP3Nx/Wu3XuNbF79FnC6bvdfwTI9bg1vTv9m6TcEsoFAMwgFhGlJ36nSCDqlafI07uoNQgpuDsWBdg0Z9PXcgSzK6gw7tYYdkkPJWcxdn4jpmmvsKJU3qeZdhLIyfaGpmYSiDznYX27Z5/tQLSCnIVEaYRIySEWmW0vAaUwvlecgDH+c/bmoWtmbT8g/rXXRpUDA8dgeHH2u4DYbBiJJVRJc6SZbixwGO7rLZ3d63japdRShwTIdeMKCol5ASXNtBRydLFY50Cf0EDRMhNYJRgoo1hBD0ugHFooupmWy3epQKDrqhsT3TJdlYL3Nrs42acUqqVovsbA9xXQNdF+zsdCkWbDpzOgDVaoGd9pBM02haFjTWeP7JR3NDhlvzx+eWrZ4vG4ta1kEoFmyavcWr6csIiWXqS4XXpYK9dISpWLCn+St5R2VsmzweFzMNyTCIpv+fP2+/bfIqwf4qolD2zJW5J6vIiGcbBCtGqFZ1YIquRas3E1gpBJZljVPES2NSrGhutonjiGLBxit5SNMmERpSyrHN8ApdySGHssMdllWi/aJrrhxNMxfpV04u63Xde5jUHvf7guGngeNKuj/oEnb69Gl+6qd+ip/6qZ/6VDIHf+7nfo5f+7Vf43vf+95dDbB8SFjucUxcrm5HKH1Uu9/7HZOW85tvvkmn07krI0+fJT5ph2Vra4s333zzrjij3a64HuC3P/xt/uj6H1G1qgRpMFfQ7ugOmtRoj/YnyM92TYQQnCycJMkSKnaFXtib6ltmUbJKBEnIKO7v+3ucRrTTvLC3Cw6Pl0vEaYKKFMPhkG67S5A2cZy881L28lG19oFU+1nMOoEZRYPmAfcxTUga7hpBEuQ2y0JDABmgVEqiUlzNoz1qo0mdLNufwZIn2yt6wf5j0aSGrds4mkOSpax5tWnxmmYZlrTY7u+QZhn+OMF+YlvcGuTHY+kmZadMHKXs9JqAwjZs1t11+qMB/VGfjeJJWr0OZatEMApx9CIylQx6I2RqIjVBPFIUCw5JnLLb6lOpeAx8n4Iq5EGJAtYaRZJY7SMrQggG/Yh63aPbHeD7Yx2NY9EfHv5cgyghTRN2d5vUSw6OXaS1O2RtQQK4bkg6C4hFoWAtJA66LuksiUVXSy5329SXajcKBYtwSX6KZejA4tc7pj43MDJ3TBaUCy67XZ98VHAyXrZnm+w5eYE+T/sygR8mS7/TC7NpxjANbSXZUCtokXOEDswKCQymYYCAeq1OphRRFNJtjwiCNppUlCsFRKWIyDQyoS10cD4YsJmf070n26a+knxZK7puwNwcGCkFT95HgZHAkRexHuJ4CMtgMKBery98/Cifw9raGpqmsbW1v0u/tbW1UvP6z//5P+fnfu7n+N3f/V2++MUvHm2nPyE+l4TlfvgiZVnGe++9x/Xr12/b5erz0mGZhGOORiPOnj07Xll7cHC7LmFKKS5fvszly5fvCXF9nMZ86+K3eO3Wa/v+bmgGJbOUB0ZGQwzNIEgDRtHiQk4KSc2p7eu+IHL7XsdwyLKMftSnZJZoj9pLuy+TcbIpcZKgFSXVQpU0SRCxJBsp2r02whRkusJ2rEPp9GZs8tHWFSqVylQUvO9xzcLWrWl35iDy7kiBW/1b+/4uhUQKSdmqMIpHpCrF1AwUikxlpFmGZ3gEccgwaB56bdWucau7/4fHMRxEmhPgRqFOlMZkWUZvMCCIQzSpUffqDIY+tzpblJwiRaNCu9+l5tSIooSCUSQMU8JRhKu7ZFJBomHo0O72KJolqlWLdrdPtVikue2jG5JiyWY0Chl09n8m9XoJFOzu7hFYXZe054xwFcsOrc6AeNSjZJtowiGOUqQUdBeQi0rFY7c9fxzMdS0GCwriSmlS9B+GFILejC2yLgWWoWHoGpoQ2JZOlGaoTKGyjDTNSKf/rdCSFDNJx/qTcUbMeMVeSIEKQgpSIKREytzuV0qZC+yFwBCCWtEhUxlRogjjhHSmG7T3ndzrqEyF+yhc22QY+jPal/3fY8fS6Q6WazEOFvAHUXQsmv0lITCAv6LL4zrmShH7KkJT8kw6489KCoFt2diWTblUJkkSgjCgs9tlp9WnULCpVEtotk2ENj0fh/UrOWZvewVrNWFZ5VSmSTGXQD/RKGEegezcS3hoaXx0HFeH5fHHH7+jbZimyVe+8hW++93v8pf/8l8G8s/xu9/9Lj/90z+98HX/7J/9M/7xP/7H/M7v/M5Kncxx4HNJWO51RFHEG2+8QRAEnD179rZDgSYdlju1ubuX0W63OXfuHABf+tKXHjiyArfXYUnTlLfeeot2u70vk+e4cLt6lV7Y45fP/zIfdz4+9FicxtNOxJqzRpAGlMwSylB0o+4h1zBDM3B193BeiYJBNJiK7tfddfx4RNWpoVAMoyFBsr/4qjt1OmGXdI7oXQjQDZ1aqZ47dEUQBAFREBIOQlzTpeB5WJZJNIr5uPUx9bU6lnn42iuYXm7Ju8Ae2dEdJDqdUefQY5nKqI7du+YR1ppTozvqHhLx7gU/tqbHU7SKeRcmzejHA/x4RD8cUHGqjIIA27Bp2AWSJKXd72FoOhuldQaDAMvScaRDFCUYWIRRSjRK8UyXNFYkicJA0uy0aZRrkAl22h2kEIwGCa5rIjRFuzugXqgwUHuakGLJJo4Suge6DZVKkd3mYe2IJhXD9i5SmBRLhWkuSbVWoLmAXCSTbk6WIra2IAxR1SqUK0vHgNSBa1sK8BwTS9cwTZ1onEgeBDFxnDJ7JVWr3lzCNd4ySZoRLyj4dV3S7IwWLlLomiSddk1mX6dhWwaGqaNlGY2iTUbuODWKYpJ0b5FOSIkmJVnefiGXvagpeXEtg07fP5T7MkGeXr98HGxFpiXOCltmOHyMB2GZq7s4iyyCIc+7KOgepqGjWUWiMKTVGhIELQQZ9VoJt+jhFl06o1mHsPyf2fvfqiWloziVFR2LzhyTh2dP3V/jYPCQsNwOjiNg0/f9uQtmt4uf+Zmf4W/8jb/BV7/6VV555RV+8Rd/keFwOHUN+8mf/EkeeeQR/uk//acA/PzP/zw/+7M/y7//9/+eJ554gs3NXF9ZKBTumjPrQ8Jyj6Hb7XLu3DnK5TJnz549tKp7FEy+AGmafqLX3+u4du0a7777Ls899xxvv/32Z707dw1HJSxhGPL6668D3JVO0+2SlZv9m3zz9W8uHaUCWPfW2R7mWooJ6RBCULJKWJpFnMWkWUqiklyYvwBSSGp2bWZbe+NTtm7jGh6akOhSZ2u4PQ12nIeGuz7uiCgMQ8cwClAskGUZYRCy6++it3W6SQ/XdrGFTckqYepm7s6VJeho9MI+UbZA0G2WiIZ9RoNePlniuHli++S8uOtsD+Z3ZRpug53h7qEqqWB6uHq+n2uFGlEaMwyH6FJnd9CeBnNCLv4XSuKZLt1RD1OaROPMlTAKSaIMTUp0ZdEfDrA1LxcaxxJT10g3d+hfuEhtp8umbuE8cQZZqrHV6gBQL1eIw4xhMCKOUgqOTbO5Z57Q2CiSZimt7cMr+QcLWccxIIu49M5HFAqlQ4s3i8azDEOj2xtBq4n2R9+Hfi+vNHUd58yjDL5+Ns9OOQBNE6g0o1F2UUnGKIjw/ZD+KKYPrK0V2W3PN4KQQtBf4oxVLDpzx7kmKBedheQLoFRw9mk2JkiSlEGSUshM2nOMAkxLx3EsDFNDE1ArOgRxwihK8k7QjNtYOtalQV5MHeyiljzrjt2/PGs1YVnpIOaYhEs6sgDBivBMzzEZjuK8+zLWsKmyyrsvQUint4ujZyRoVGslTNclnBK5vXOySkxfcg26K0M251/IT5+sLH3dvYiHhOXoOI68muFweCwE4a/+1b/Kzs4OP/uzP8vm5iZf/vKX+c53vjMV4l+9enXfvv5v/9v/RhRF/JW/8lf2becf/IN/wD/8h//wjvdnHh68avYIuFe7Djdu3ODtt9/mqaee4syZM594Px9UwpJlGe+++y63bt3ih3/4h6nX61y6dOmBHX87iuj+XhPXX9i+wP9+4X+fWhMrpRhEuVh+AiklNWuPYMxCKTXtSlTsCmEa4houRaNImIb0o/4+F628++LNSYvPESTBWKi/xq3BLaTQKNtlDGmggCAeMYyHUyeweW5hk332HA81UgzkkLX6GmEUstne5Pr2NUzTxHYcTlceoZl0cwG0ZmJpFrqmj7UrAg0ddesm1uYtCmFAhiKzLbKTJ1HVCkWjRD/sUzC9sS5BG4+ICRzNIcpiGt7aOFQzI0ojDGHghwGD0f59b3gNdnotQGFoBmW7hClNNjs703O47tRRlz8muPExprBwNx5lp1KkUdqgNxzgSBcNDZVKgijA2u7Q+W/fY2MQsKnZaGmPytYOm9tdePllDENHIOkO+9NVclu3GagBuqlRqtjstDpUC4fn8ssVl243v050XVKtuFy5coMsCymVKzi2s+/5uqkt1KiUqx672x20P/zvMOiDbeeJ9HFM6cP3GHol1Je+iKFrFB0TTUA4itENSWtncWjoMqF+qWjTWVLM29Z8/ckEq3JJ5IKidgLHMeaOFUVhQhQmOWHa2SPzmi5xXRvL1hFSEqYpozCm2+1i2dbc0Eq54vt/FO3JqinXowjhV1kDaJpksKIT5FoGwwNkQyAwdAOjYFAoFPBsnd1On1ZzSHCziVIZBcfAURFIG8PQGS51feNII11BfHgbuiY5s35/JdzD8Yw5fV5wXCNhx9XR+Omf/umFI2Df+9739v3/lStXjuU9bwcPTjV7H2O2EP/yl79Mo9G4o+1NCssHqZCPoohz586RJAlnz56dtkAfZIOBVR2Wzc1NLly4cMcEdx4+ibj+u1e+y2+89xvTImc32SMRRauIpVk5+VEZu6P5BGOC2RyWaCYhXhMaFbuCKU2yLCNIArpBZ+F2dGlQMAvsjolIptJDgYyWblO2yiilqDtrRGnIMB7uJ0bKYHtrB6UrGo0GgnxVtlwqk6YJo1GAoxze/vgdNE2bWiZbVjg9bw23wdbmh3DtY9ANKI07Yf4Q4/oVXOdlbgWHbYs1ISnbFW70bh16rObU6Pr9fR2UyXuFUUSjUCdMQgbBEKEkN9u5tqXqVbAzg60/+C7arVtsRBptBOLDq6w98iTpKzU8vUASpRhSp9nt4GgFuufOc2roc73UwBCwrklutkPkxx+TPv4YjSfPcHNz7/MoODa7u0NKFYc4i2m1exQ8h3brcKdA03QgpF73GPR93n//Y0a+z1NPP4HvH76XVaoeu6353Y4kyfJ8lOFgj6wAUtfRMsXGexcZfvmL9AcBrRmS0VhSIBY8i8GSlX9jRVZGGC2/Hy9zD4PVmo1Vt3vb1Ji1bkiTjH7Ppz/mZ6YBV67dol4rc/LUBlLXiJKUQRgRJ/mI8SiIpvekeRo21zEYzSm+Z9FfEtY52cYqwuKv6MCU3NWdoDRbzpwMXTIMExzbwbEdFLlt8u7uLtH1XeIoplF1sTwPy3MJkczb5LwwyH3vo8m5XZozG2X0Qw5l9z4edliOjuMgLL7v37fh2LeLh4TlM0YYhpw/f/5QIX6neJCE95MuQrlc5itf+cq+rtFxpcHfi1iUpzMrrv/iF794yDv9TjEbBgmrxfVplvLtd77N968vDpjqh32UqUizlDANqdgVDGnsF7+PscwCOFUpnaBDxa4wjHzSLKVslTF1iySN6UcDkrFzmGM4SLQDifb7YesOutQPdXsEkoJRwNItkiDh1tYtioUihmccmq83dJP19Q2afpNThVMEQUgQjGi3W2SZwrFtTpVPsdndRu/38yXmGetHx6uitTp0mjehvrZv26Zm5pbGw8PHME28V/n3vWgWsDQTlKA16BBnCdBHE5KKXaUz7LNWrBNEAZoy2HznAuvXt9GKdZqupCoMlB/DlauYJ56kXV+jaBXpDPoU7RK93Q6NTotbZhFHgK0pWpFA2TZGt0MjDbi11dl/fg0bpxrTfPcSKoqgXMYuP8WA/aNLlmWQJCnlksXudodWu00cx5x+9BH80fz7WJzM/7tpabkQfzQCBZZQlFREminCDG5lNsrPSFv9fZ8DsLQD4jjmUsKyTEhuGNrSIErXNZcW4ZZpMFwyViRg6fYB4iWFcxiFDPt9ioUCpuXSas18PkpRcEy8gk02DqccjA4Tl4nYfxk853BX4yDUMiKhwAl8Rt0YSqX96vcZrC701UotTtEzaXX3zqlATH971tbWUJnCNeHWbpfwZhM11r6UKkUwLIJU5WOCK4ho0TFpDQ5/ds/ch+Ng8JCw3A7ulLAopY61w3Kv43NJWO6VkbBOp8O5c+eo1Wq89NJLxzq+9aAQlkkXYZFF74MckimlJI73/7h/muJ6IcTKH55hNOTbb3+bt3beWvq8qlOlH/anCe+dma6IoRkUzTwrRCDYGh4OQJzFmrNGc9SaptLPBk+CwDU8KlaZRKX40fwVeID/P3t/FivJnW73ob9/zENG5LxrJFlkc2p2n55O92mypSNd2xpuy7qwnyT4Pt5nCRL0JD0I0Jsg2A+GLQFq2ZJgCz6wfGBbli0cHxxbks88dFeR7OY8VrHGnfMQ8/C/D5GZe+feORTJTbKKrAU0mrUzMzIjMjLiW//vW2t5Zp00T1b6meOQlMyzOWmY8uG969QbdTRHQyKxdRtLM1FFNeqlKSrzLMTWbJIiwbYtbNuqBLpFiZpp3OjfJMtSaqMRVpah5TmapuKrDkmRE4kcUa6nhri6SynXLY0NrXIeq+k1sjyn5TSJ0ogoj5mnIWgK4/Cog1QFcXZI8oSizBnOxzTMBpRQG04QpUIuDHRZoBYqY03SyhQGH36Ie/4KcZJSt32m0wjDNohyHVeWpKpEL1VGBTiiRNVK8lJdG/dxbRPu3Gb4734bEQQIKTFVlfFrH8Avfx8W1ztNU+h0XG7fHlMUJYN+Hwl0u13aLZ/D3unvx7J1JltW0H3PYR4l+Bc6FEXCJBT0NBUQdLWCIM/B8+GE1sv3LKY7istdTk+2pRMEu8fFtgVYQqWn2EVYvJpJMtreufA8i+mOjoKiCGYbimKAKI4YDkdceewcmdxwDxKCKM5wTJ3hQmOjAn7NRDc0SmCeZCRZwTSIF6GVm++ztrGHsEi2F/iHh2h/+Ic0erfJNAd8j+JXfuVUcCew12Gs5pg77aeh0sad+njLETkEQoFCqDQbTSSSLMtJkpiPbhySpRmOa3Ku00C1bRIUii2zcNvG7B4Rli83lsZID9JI2IOOryRheRCwFI4/88wzPPHEE2dOoh52wiKl5N133+X69es7bZ2/SiNhcRxz7do1hBAPhLj+XnCPn1z7SdUNEazE8mmRMk2mqzyRrtOlH/W3Ov9kRUaYheiqziyZYWomnuEhkUR5RJgeFXqV6Hx7ACNIHN3mbnBvJa7XFB1XdzFUg0IWhFmIa7iMo+3hk1KCFqt8eNIJTEKURURZhKs7SFjlnCyhKzq6auBoNgKFUpZ0Wh2KoiC5fh35wfsEkxRVaCRGhKFreNgI/zyy1kLI6jPnRUFe5hiKTlpmpHlCXmRoeo3b42OjY1GIPZyizRImhop2cI56+wKaqjIPI+4snqspOgdul3E4I0xCLmEQl4JZmdGWFv08pSkt5gjqqk22+BxRmJGXOXXbp3ziceZvvomdm/QyjaYG4XSG7rj0rSNdiu/bmCUM/91vQxCA44Ci4KcZvRs3EG4N+c1v0um6zKOQwSAgy3IG/T6aptFqtRCKYL6FBHi+TXxiHEzXFequhZAl8Swm1j2U1nnE4T0oNVBUsjQGoVM+//yp1XnLNrYSFk1Tt9onQzUuFu3SMuz5LW0rZlfY87BlaGxX3lSBlJv0NUEYMB6NabVboBiwg5SJYxobCcznCZCsxkc7dRupKdQMjSjPCeJ8FVi5vJbsG8NynS2EZjZD+63/C/JsmZgJ0ynqv/135D/+MXSOcig0Vd07XmfvycsBiDeNpR1zCKvZR1k+AoGh6xi6jlfzqnHVJCaNYm5/dIgAWi0Pv+EjDJPoWLdrk37F0FSudB8+/QqcjfPVVwHL+uwRYbl/fGUJixDic0kAPYmyLHn99de5d+/eSjj+WeBh7jzkec4rr7xCEAS8+OKLO3+MX+aRsOOi+8lkwtWrV2m323zzm9888xWsj0tW3hq8xT995Z8SZYsiTrI22qUrOr7pY6kWo3SzPe8SnumRFimzpOokJHlCkh+Na1iahWd4GIq5c7wL1p3HlsjLjEkyXv2763SZxFM800NX9CpU7rhuRQrKac6t4B7dbhdd00+9T91qEKYh2QYnsKzMsFSLeRKsQi9XaFmIwOPcHO6IhFk8pxiGpLaDnNzFzKdcal6kn4zWNDRwZDCwDH4EYDqh/tq7WJMIVBWjLJjcvk32TZj7DZIswdRNGnadIIi5PbqHqZucq53jjn+PJuAmgkSXtLHIkxQrFxTnLhDEMZ5eYxJNcG0HUQqGTz2F6PVwD6d0mTOQgtK2sL7zw1XHotv1CKKI+S8+RBwjKwowVWxQI2o3P0D7M9+lP57QrHsc3p7Q7/exbJtGo4EQohLhjzeP7SzJgRDQ9G0oJaPBnGlWkJayqqiFoPzTfxrl2lXEzVsYRcbE9Sm//gLy6a+d2uYu3UTd3+3glRe77iWS+Y5RMyHEzu4I7B/32qeP0fXTt/rZfMZsOqPT6dDt1JnuS6/fMvK2HAfTNY3DxSiZlBJTV6nVLBRdJc4LgjhjGsQ77fa3dWCUt96CPAdFZS7MymtaqlCWqG+8QfGrf3r1XN81GE53H698zz3D0FXmGz5HtQhzlFmzjRgpioJjO3iuwXnNIcsy4jhmfP1e1Wl1LdqtOpbnbOwGPXWuvteE4UHFow7L/WF5b/80hKUsy0calkf4bLBcIZdS8qMf/Qjbtve/6BPiYe2wBEHA1atXsSyLl156CV0/XSwex8NMzPZhGRz5eYjrP44T2O9+9Lv8+hu/fqqgXtuukJSU3JrfAio9iau7lQtYOiUrqmKgbbcZx9s7HVAVCUme0EuqzoqhmtSMGqpQSIp0ZWPcsjc7jy0hELSdzirIMT1RgAkENbXGqDcGAV9/4nlySqIsXI2yAbSdDqNouHX/m1aLWTxbe80Kuk77a9+md/s9tKlEM03kpUtkNY84z7Fyi9ffexNN11ZWq4Zh4OoOlAqTaIqpGbimg4qC8cq7DOYB0069qt6lpDUKmb/+Js6f+rO4pkOaZkzn1T50/Q7kguF0QvfZb5DemWJ+dBO1YDHSJcifeIqBV+OcXedOf4C6cCi7NxiCZdH+f//HiOsfce/uIeg6zWeeYZjqaJqCX7fpDcd06k2iZGECuyhe2oqgX8KBXdIvE7LhFHSdOEjo9Xt4NY+a563Ov4ooni6ia55FWZR0mw7TUcDw8Igo1+suveP6C8uifOlHEMfUajq9XNloZ2zb+k5SsUuaoSiC6Y6wRa9mMduxml/3LMZbxrUAPNfaqbdQVYXpjtcDxOlR8S2B6WRCGIZ0uh0M3cA0NNix/6ah7dWeFOUREalMXyTjcbiyTW7UTIQiUEyDpCgJ4hzE+ujYtg6MGA5BStwyI1AX9wRR7Y0YroenqnuKZSHY+X0AeI7BYHL6O60yWHZ/1qPPIZiF6aL7YmDoBr5Xaf6SOOGwP8UYjphHOe32kfYlykuevdjYue0HGWdh1ftVwPI4fZr7eRhWv69HhOURzhTLoMNut8sLL7zwmbdMH0bC0uv1eOWVV7h8+TLPPvvsfV30vswjYUIIZrMZ/X5/51jcJ8VJcf2+i2cpS/712/+aV3uv4uous3S28XmO7iAQjKKjTsByjAqARaChb/jVOJVg68iLZ3hkRbbWvUmLhOExpyFbs/FMj1JK2k6bIA1PBUZqio5n1LbaHwOoUuXm7ZuUqqTZajI61pUxVANbt3D0GnmR0bJbSFmSlTlZkZEWKYUs6NhdBuFgY0dJFSp1s0k/HMK583BwwKJiwwAuOB368wEX3YuUeUGe5KSThFKUKJaCamqoqkqSpyR5SqcwuTe6R1FzVlXUOeGAa6LOx4wOb+IdXEIWAte0mURTyrQ6rwxNpyx1ih98H3H5CvMbd0CCbF9g3mrTaXS506vGs9q1Bvd6VRiloesUisao1YFWZRCQGR6eKchlxnA8xTJNhoMA6vWKrOQ5aBpCgmvmHE4yZKcDuk5ZZLz74T2azQaOc5SxoqkK4xOaDyGg2bSxTJ3bt8Yck+ocnRtbhPhYFnm9Blt0JLWaRbQlX0XAWrr9SdR9m9GG4vborY2dBfIpd7HxBOXdd2E2A9/D+v63mGFsf3/PYrhDH6Np6spMQCIZjUakSUq3213pJrcZGCxRcwySXboQuVnEftywwzQMeqP5KrRS1VR830LVNaK8JEyyrcRMui5CiHXCUr0D8kQ2zz79iueYe7tJW6+DUlb6FcF9iPbNjWN4qqLiOA6O49CuW9zuTYiihNH4LnmW47om9ne6zGYzarXaA6O5vV886rDcH84qgwV4RFi+7Pi8RsKklNy4cYO3336b5557jscee+xzuQA9TIW8lJIPP/yQd999lxdeeIFLG0SU2/Bl7bAURcGtW7eI45iXXnoJz/POdPvLEbDlb2DfhTPOY/75q/+c13tHQZ1LrQlU42BpkVI364R5uOqgbIKCgqma3JpV3ZdVWKRmkhc5s7TqTrTsFtN4urlTsYCru0g41VkxNQt3ERgppSQvy51BlkZpcPPuLSzHou57p5K+8zJDVzzuzG5v3oCEc+55JvGkel+lyk8RKCgCFKGhIMiLgs4iR4WVykeiohKmEYamkxYZqqKhGhrnDy7QG/UZR1PiaUSe5ximyaXGJe5N+xhS0hAmhrBQpcLdPEJSIChoGz6KYjPMxkRpwrnaOYIoIEpTOk6be6MB7VqLXl3iv/gE4TxDAue9OrfvDHEsC891uLdw/vJqNrZhc3h4xBTa9QYKKoPxZHW98WyX3mwKnS7y3Dn027fomoI70oI0BU1DPvMMs9kMpSxpt9tYJ9y6Go0a/UXYpKarNJsW83nIcDTFNtafu/rOTX2rzkRVlSpIcguyHSNdvm8z2VHgantyNtI9Nr/HiYC4eRPld36nInmyGj+Sb72G+A/+PPLixY2v3/fbrS8E/1JKBsMBRVHQPeiiKuri9WInIYN93l/7u0BQ6XSEEKiL+58sJeNRuLoGNXwLRa06MGFWEKX56l5ZPvMsynvvURblUdWyDLh89rnVexjafv2Kqe9fLNxmgCArEQs1x2C2w2QB7sepDOK0wDRMTMPEx6coC0SZ42oFV69eRVVV2u027XabVqv1UOSqPSIs94ezymDRdf3M9awPKh78s/8hRlEUvPbaawwGA77//e/TbDY/t/d+WDosx4/Rr/zKr1Cvnw6U24Uvo4YljmOuXr1Knud4nveZkZX7HQEbRAN+cvUn3Jmv54CsaU0EXKxdJJdVkTEtpxtHpnRFxzXWgx5XYZHLTQlRbass8E2faTJbWRUfR8NqEmQBWXG6cEjymCSP8c06cR6TFimmauLoLpqiImVJlCdEeYiWaisnMNdxT21LU7RFlsvg1GMACipNu8m9+WZ3M1evUZbxUYfpGEzNxFBMhhuyZJa2xZquU9fr1P06eZ7jC4/pbE4YleRCIR3d5aBxmUOlAAnNaYzrH3BLVSmnA1zDxVZs7gzv4dkujupwOB5yoX7ArcM+55ptoiDD0HWEEBz2JjR8jziLmU4SkJJ2yycvCg6PhSqqi+KpNzwigoauMxwsRrIE1P/CnyW5+jPi969DUiKbTcrnnmVUc0mCORc6l5DydHGT5SWOq+M6OqPxnF6vWqn2fYfpaHNh7DdseoPNXZJm092aUK9pyk5BvWHqO8eldtkNq5qykwwYhno0zlWWKH/0x5DlYBggQJEl0zRD+aM/ovhP/pPVeN1x7EuNF0qlhRsMqvO32+muFZT7Ai9hf0aMZWo7CYvY4FJ2vPsipcQ0dO4N5rAYIXNsHce1QFWYXzhH/sMXmf/xH0BZneeoKuV3vo18/LHVNmvOfv3KLrc3ANNQtxOWxUiYqWvM2H1Mkj1E1TTUU2N2qqLyzacv8O1vf4uyLJlMJgwGAz744ANee+016vX6isC4i67Tg4ayLB8KYvVF46wIi+M4D+R58Fng0Vn1GSGKIq5du4aiKLz00kunVhA/azwMhOWk69UnOUYPUyfpfrAU13c6HVqtFjdu3DjT7R/vrNwPWflg/AH/5No/2Wj9exxdp8vt+VH3YRnwqCs6SZ4wTaeLbohcszQ+CYGgY3W4vdbJENSMGrZmUyIJswBXry2CJbd/9227s6aPSYqEpDgqqqQEPda4O77H05e+huvUVmNeURaRFukiy0XZ+pl11cRRbQZbyEzDahAkIVlxunipGTWKomAWnx6t6zpderMBjuFg6yaKUKvVV6kwmI/QPJ2aW6fgGRq/eI/h7Y9whU4qJNg+Ny6ewzVtaqZDkhSMghkHfocoTEERdGpNBuMpjVqNPJUYusFoPsERNZp1j/54TKfWoj+b0u3U6Y1G1M3GKqbc9xwc2+LunfXjUnc9esEUXdeoNy36wwnuD75P/2u/BFmGNAwGwyFFkvLs008xHW0gok0HRZFMZhFhuD7qZGoGm3QtsDtnZNcVolF36O8Q1O9Kt3cdY+fjDW+3WN+v2fTHFZESvR6EIejaqqXRIGeo6zAPEIMB8kSocJXPsruzMZtH9Pq9arW+1T71m9f3dBwcS98b1Jjv0XN4jrlTZ7PUvCz1J1JK4jgnimarf7dfeB7l+a+hX7/BLCvJL16EEzrQfSv7Qoi942A12yBJtxHYaiSs2EN6NE3Z60K27X2eudwCqn1pNps0m02efvpp4jhmMBisCIyu6yvy0mw2HxiSUBQFhrF9hPERKpwFYZnP57ju6UW2LysejDP8C8BnyUgHgwEvv/wy58+f5+tf//oX0h590AnLaDTi5ZdfptPp8I1vfOMTH6Mv00jYnTt3+MUvfsHTTz/NlStXODw8PLOxxU8irv+T23/Cv3r7X2FrNrqqM42np8TxqlCpW/VTVsPLgMclOnaldxBCIBAE2enVbk3V8HSPXnjStlgyT+cr0tR1D5gmExpWA01opGXKPJ1THBsd6zoHC3H95uMnJchZyc35LdqdNqGMCIP14qFpNyiKyqLT1h0UIShldfwKuRinkwrTeLOhbNvuMArHGztNDatBnMUIROVWpuqoi9wHBZUgCVEVhTANCdPK8tlRXSbHdEGWZtF55nuEzUtw432msymeXuemZVNgML5zG99q0PAbWLpJEudYhkWa5uRFdT4YikVZSPqTEV2vgyxkRU5cj+kspN5w6Y3GtP0mg0UeSrdTZzybkZwIdNQ0lfEooN2uMYtC+sNqdMwxbAI1pxCCQb+PEIJut4uKDhwVwo2WDWWKeeM9Dq8fIkwTefly5TJGde6c1LUsYVo64y0jX4oqmO4YB5M73Jgc2yDcQUhs29gpRhfqnvvM8YdXv/WjP6oCkAuR14aFGc81SdLt76+p8OGN21imSaPZODXqCJDssmNmcQx2EBYh2JrxsoR5UqdzchuKWAvtPNl9kYCqQG+cIpvnUYXAc20MWyfOJcHC4S3a4fQGlYPYZN/4247rYuVwBtN9+hXbYLSna7XtbZaE5SQsy+LSpUtcunSJsiwZj8cMBgPee+89oiii0WisCMwXuer+aCTs/nBWHZavin4FvsKE5bPAcS3G888/z2OPPbb/RZ8RHmTCcvPmTd544w2effZZHn/88U91Yf0yjIRty5w5q337uOJ6KSX/5t1/w2++/5trf1eEQtNuogmtGrMqqzGrYTTc+f4dp7PohhyRB1Mz8XQPRCXILylRUNeE+iehKCoNs0FvoVc5bn0MAnfRhTFVk1k6RxUqhTxdjAmpEA4Dgny+Nst/HG27xTiebHUvq5t1oixZjaNpioYi1IV2RVA36sySANeoVr+kLJFIClniGz6DYEhRLrddFTaaqlPTaozD9eNp6zZKqTKJptRMB1t3kLIkTQpuj+5UKX5PXuGyf5E4SXGCMRoqWq4znk145/13aVpNUBUsy6Fb63I4HdKuNYnihFkY0vYaxEnCLAhRFAVdGKRawXg6q3ItpimaruL7Nr3xiG69Re9wnai1/TpZUTAYHWlcNE1lNAzI85x+v49u6LSaLVzHYjSqyEezZVOIgvHhPZTf+V3c3hBFqoCE11+n/OEPkRcu0GzUGPY3ExbPt0mGm0e+Gg2H4XgLmVHETm2L45qEO0Tc+1bad42LAWtFuux0wDIhilcjYbFUquwR20G2Oxu2sH1BI80y5rMJjm3j1+sbdSiaruztOJR7uie+azHZQ1j2ifp9x2KyxWmtWuQAhLoqhKWUTCYhTKojYBoa9aaDFIJUU7Z224w9eiPY3VEDcC2dYqeN9f3pVzYRXdfWudjZX4AqikKr1aLVavHMM88QhiHD4ZDBYMD777+PYRhr3ZfPMxflEWG5P5wFYQnD8IEdDfws8IiwnBHyPF8lkP/gBz+g0Wh8oZ9HVVXSdPeF9/NGWZa8+eab3Llz58wyaFRVPZUG/zChKApeffVVptMpP/zhD9f0KmdBWD6uuD4rMv7FL/4F1+5eO/VYKcsVofBMD1M1qyR1p808nZ8gEBW67uagx+P6l7pZpyxLDNXAcWziPD7lQGZoJpZqMYw2j16xsD7WFf2YPkbg6A6WaqMpCrksiOOY23dvU2qSTre7ccW563R3dmfadvtU56QyBsgRhaBtd7g9vbvxtQdul8PZ6eNhaSYaxlpKPYBvetiqSyELClkyT0KKQiKkSpiEaIpG022glCq3h5WGxjNrGMJiMBvh1X0eO3icj+7dQRQw6U25eeMu55ptbs/uoek63WaL2TQmXfyODuptDgejVaHacOukSU5WSIaTKZqqMh6tE4d222M6C05ldTQ9n1s3B/T7fRzHod5oIADXtrH0kpyM0awiPsqrr9IcHDI265X1sJQQhih/8icUP/4xVZLLZuzSJYgd53y9bq+thBu6iqWrqKqCIgSGIuh6NrIsKUtJWZSURUlelgghiCchWl5W2obj3VBFVGGSUYotBKqmoigCRVFQNYFQFHRdIZcgbYNSSvJCkv/gl8l+9/cp0xSTkplQQFEpf/l7VbvkOKRcIzzHkSQJg8GAxy4fUMjt1vB112Kwg7AhJfM93QRjz0hZJerfTWgMY3+BOwviNdvk6uNV3Zc0KyiTnP44BCnxfBvbMcmBaZStmlfJHuJkmdrOAFApJYa+/7Pucyqzt7zP05dan6j4XLqOXb58maIoVt2Xt99+mzRNT3VfPks8Iiz3h7MI2Hw0EvYIHxthGHLt2jU0TeNHP/rRA+HY8KB1WNI05eWXXyZNU1566aUzu2g+zCNhS3G9qqq89NJLp+Z+Py1h+bgjYNN4yk9e/gk3Jrt1My27xTQ57d7lGi6O7lAUBUEe4OrunlT6alRsGI1WqfRL6KpBzaihKxplKYmKiGmywcd2gUprop3QmkjCLFwl0RuFwc17t7Bdm0utc5i6hSpUJCVZkZPkCZ6xaSTtCF3ngN58M5lRFQ3f8OkHp0mVoMpvOZydtlX2TI88L0FA22miKCp5maMKlfF8yrQM1p6bJjmWodOptZlGU4pc0pv1cU0Hz3KZzEJmyYiO1yJPJb3JiMfPXSQKMgIz5gnnMQ7vjZjMpjiazkeTmEKKquA5f45794arAs82DBQEsyhYkd5Wrc7hortimjquVz1nU7Bg73BMr9/D9328WkXGm02XtEiZzI51RNIUcesWmmYc5aQIUWkUohDt8JCRvvmaYVr61i6JEDA9Iag3TQ3b1NBVBdMyIC9Jk4w4ykijdCWlVlWFksrNahNarRrDbfqUAnRNY7zD7rjb9egNTmjDDi4jXvpVrPfepjkbknY6iO99F/nYYxSlJMkL4iSjKGWV77KBsERRxHA4otGoo+o2xY7iWdnTCbgf9699InbftRjvMDWA3fqj6nOYG/f1qPsiUBQVVVEopWQ+i5nPYiRVt6Net9EMjSjbfa9wbZ14D2Ep5O7CSdeUvSYFjqVvJCzbxsE+Do47iy27L4NBtWjw7rvvYlnW6vFGo3Hm3ZdHSff3h7OyNX5EWL4COKsWWq/X49VXX+XixYs899xzD8zKwoNEWGazGVevXsX3fb73ve+dqTjwYRXdj8fjtVyeTefNp7He/rhOYDenN/nJtZ8QZAFtp41AMEtnp7omXbdbFfQbPlaQBgRpgKVZmKpZBRU6XbIyY5pOT31PB87pVPolsiJlFA1pWk1m6ZxCFtQMD1uzkECcRcyzqthbOoFFxXZjACPTuX7vOv7CCSzIQoLsqNhUFRXf9OmHfSzNxlQNNEVFEUc3XkMxmKchNaNGXuYLHUtJURYYmokhDEbhePV8RQgUoaItRtmiLKHlNFGEutLD6IrBNJxVDmIS5lRFfNtpM5iNj75/CS2nhS50cmXOJJygKRqe4ZPlOW2vSZQmTGaV3sV0DYoUsiynWfNIk8oit+bYyFKj5nl0ux2UUuPmrXtoZclsNuLN0QyJgmXb+F6NmuNyODga09M1jeFi9KrT8ZgEc0bTBEucJhOaIrh++y6tZgvbtmk0HaRSIBTJpH9ifKso0MqC8clugBCV85kGvS2FsV93Thf+i4PWafuUskRIyLOcIEhIpuFKtm85JvEWfUaj4TDYMmYGoGi7r/X5nuvvtiJdXrhAdOECSbtGf7lft9dHJS3HwDc0TEVBqIKskERJxnA0YTyZ0Gq1OOjU9wYkhlvS61fvs8f9S1HY2z3ZJ+q/nw6MZWpbu0lLREm2bpu80O0VpWQ0DPBrJrN5gmPruL5NKRSmUbY+8rbnciuAMCkwd6y3eY7JcFfXagfOgrAchxAC13VxXZfHH3+cPM8ZjUYMBgPefPNNsixbjZa12+0zCbN+FBx5fzgr0f0jDcsj7IWUkvfff5/333+fb3zjG1zc4pH/ReFB6TwsU9qffPJJvva1r535rOXDqGG5ffs2r732Gs888wxPPPHE1mPySfdt2VW5X7Ly6uGr/Pc//+9X5OS441XNqGFpFnmZowt9b8fEN33SIl0LeoRK/7J0Dctljoa2M5UeoON015zA5ulslWoPlW7kwD1HXuToikGSxwRZsEo3gWqqSItVPhzeoN1uYZqnnegs3UIX+mrcLc6jteBJVdHwdZ/efHMGSxVuWTBPgzWSWUqJrqroisnd2el9bTtt7k5OGyt03S696RBNUfEdD0UoKKj0J8PVGJqm6HTdDlGaMIvnOLqDjoFuagzmY1pmG0VVmEZzLNWu/juc0XZb5EWlp5EFjCZzHr90nvF8RsN9jFu3DonjmDJLGPZD7tzsYVkWlmWhaRoNx2dWxHh1k/5kXO1HvcHg8IgwSGA6nSKykk67Q7dbRzUEo0l1TjS9Ddbllk2j2aB/ZwyacaRIXuS25J1zG489QLJYNVdVBd8zUTVBnuXM5xGyzBkcbg449X1nr3MV0ymi3wfDQF64cNT9Aea7sln25L5oqnKq87MOuVPIHocpoZUwWpgQSAmz2ZQoCvjalct4fg3LqmyqgyjdmMpumfvT6/M91x+/Zm81O1hiZ+Ak4NesvdvI92hGLFM/Ze98UrhvmwbTICWKMsLFfqtCUG+6VfclL5jvOR41WyOKd5MrZYeJwxKb3sdzDM63P9viU9M0ut0u3W4XKSVBEDAYDDg8POSdd96pwiwX3Zd6vf6JiMejkbD7w1lqWL4qeERYPgHyPOfnP/85k8nkE2WHfB7QNO0LJSxLIfmHH37It771Lc6d215wfBo8KMTsfiCl5J133uHGjRt85zvfoXvCovQkPi5hWa0oLo7H/ZCV3/rgt/jf3/nft3ZyltoU13AZxsMj0X0RM0vWC8G23WacjI+JyY9QypJxPK7crjSXQTKkbtYxVJNc5sxOZK103YOVuH4bmlaL27M7HF8WVYRCTa9hqiZCwqA3ohf06Xa66PrpWX7P8MjKjFm2uai1NAtdGFvNABpWk3kSkC9ti48dxprhUpRys22xW9kWH3++oeq0nDZ5UVC3a0zjGcNwSMfp0ptWpgWGZtB0GkRxwp1xdXwcw8HTPHqzAWUpueBfYBbMmd/8iIv9OXGc0Pdc2k+/AKVgNJ+iqip5Cu2mT388wrFsRqM5lm1z+dI5eqMRlrDo9cdEUcRkPMG2LLQcElkQ5erq3EqPuYVJYDwaIWRJp30ev+kwGE8hqnbUtk1G4w1dCwHJt38Zer8NQVBZ+xYlSIn+zNOMhXlq9VtRBc2mjaoJ8DRms4jRaL2YnO1KoLf17YSlLAn+z/8b9d33oSgqAuU4lD/6EfLcOTzf2hkc6Pn2ikxsgu/b28fJgJpr7SREiqIwXeSNSAmTyZgojOh0OsRRQRxNaDZcpuMAAdQ8C9M2UFSVJC8I4oyaaxLv+IyV+9fursY+cbmqKXs7I/uCN+/HhazmGMQ7HMKEEGRFuWabLKWklJLRcF7lvlg6UkDLc5CKYBpnp8T1mrr/mrrPqcy2TpMrOPvuyj4IIajVatRqNZ544gnyPF8J91977TWKolh1Xtrt9n2Puj8iLPeHs7B/fjQS9hXBJ13pn8/nXLt2Dcuy+NGPfvTA+o1/kYV8nue8+uqrzGYzXnzxxTMPPjyOh2UkbElyp9MpL7744n21cT8OYfm44vq8zPnf3v7f+J0bv7Nz7Oxkdsrxwt3QDDzdW4xhqNwL7+0cqXB1t3L3WWxrsqZJEdQMD0e30RV9Zyq9EIK21dmoNSllySydMSvnROOIeTaj1WljaMZi2waqolY5NChEeZW3sgme7pEVObN8M5npOF0GwXDj8atbdcIkIitOFyYHzgFhEtF2mqiKSl4WxGmMozvcnayHT3adAwazES23gUQSZTHzMCJIQkzNpOnUGU1n3Av7mJpBw2lwZ3CIeOcdLr3xPv0sJxcCvxAU1w8Zfec7YFkceG2mQUh/XB1nU1gIM0PNEvp/8Acc3O3TzwT+xYt4V65gODamqnL95l3ixQqzZVmc73SZTILqXJWS4WCAosBzz36N3nC25hgGULMcotlpG2jbMhk3DhB/6k8h3n4bMRiAW6N86ilqv/I94kFFPBxXx/VM8jJjOgtRDDi8N974/dR9l8loO2GJdqymNz94m+nb71YdFduCUkIQoPzu71D85f8Plu3vJCzannExdc/jtm3sJCy+bzOeVinxo9GINE3pHnRX47aKOLJylrDSdCwhAL1m0nFNUBWSrGAepWs/X79mMdljzZvu0YTUXWsnMYNqbHEXPNfaOzK2DycDPE92XwBc26Q/mhNF1TmrKIK672DYBmFWECb5Yn+31w6GfjoM8iRcS9tMWB77fAnLSWiaxsHBAQcHB0gpmc/nDAYD7ty5w1tvvYXruivy4vv+1nvMIw3L/eGsbI33LXx+mfCVJSyfBIeHh7z66qs89thjPPPMMw/0KsIXVciHYcjVq1cxTXOjkPys8TCMhEVRxNWrV9F1/WMdE0VRViuB+2yIP84IWJAG/Dcv/ze8N3pvzao4zMK1fJSG1VgkyW++Aad5yrAY0rbb3AvuYWt2ZeMrqfQvx0IaG1aDIA03ptIv9oKsyIiF4DCpOgfGQnivCY2szJin1bhXTa/Rj06L15dQpcqgN6RUy5UTWFEWzJKjsaWuUxGeanxMYKgGpmaiCR1VUdAVnbKU5GqBa7iUUlKWBZLKLcozPCbxDEuzEAiURQGkCAVLsyiKkvpiJAeq8bCizNHQOZz3K71KUh1rVVXxdZ/+/MjOWBEK59zzpHmKqqoMwhG2ZkOhIpF0vRZxmjKazsiKnK7fQik07o0GuHFK853r3FVUykaNA0UniEvmh4eIDz/k4KU/zeFgSLH43bT9JqJUSEZTyt/9XYz+gECaCARiMKAz7hP8mT9NGOW0Wq3KlSlNieOYUX/CeBygGwayLGi1XRzPZzieI0/8LoXYnofiORWRkefPI8+fX3tMMzU6512iJCYIQ8JjDmVpsr1gNnZkf9iOsX3VXoL1+i+YCmDZlVNEZTkcJ4gbN0jP7y4u5zvIDOy3O873uFnpuoIsJYPhgKIoqlybY8WP7+0es5LAcBisZbBoqkKtbqGbOgWgGxrbbS4qUjYNdhMJdU8OzUkisQmWobE56egI+7o4vmsy2tJtW/5GFUWgqurqmitLyXgcIBcdwZpjkBUFDVtDVcVGa2PPNhhku8fbtq0PPXv507tmnhWEEHieh+d5XLlyhSzLVt2Xn//850gp17ovx+9pjzos94ez0rA89dRTZ/SJHnw8Iiz3gePjTd/85je5cOHCF/2R9uKLEN33+31eeeWVz9WA4EEfCRuPx1y9epWDg4Ot4vptWBW7O1asPq64/u78Lj+59pOV9e9xq2KoRqBqRg1TMelH/a1kBUBXdFzDXW0ryiOiY9oP13CxNRtDNRiFox1kpXK/yop8TfuSFulaxout25iKhaKodJ0ueVkQZsEaMdJLndt372A6JnW/vtm2+JTVsiQt0lWnpWN3uTu7t7Fzsuzu3JndO/UYVJkz92anTQk0VcdVXfonMmsMVcdSbUbhGMdwcAyHsihQpwF3hu+AWwNVwdUdHLVGoRQMg3FFwjLw7BrzOIBCWeWjpDd+Tj9KMZtNbEWhyBUCpUpFrx/eYzCersiKoetQCvqTMeKDD1CGQ5pek8NSxVHAlBn9O7do37zHvFmt5AnANAy6zSbTYYKm2eR5QJwXHI5GtIuSOK46MKZprr6BVt1n0N9sjDA/UbTWmzaGpZLmGXeHw42dO8s0mOwY+ZrPthextZpFFG8xaZAlUZRWivLjWAR76mm8U3/iOubOLA/b1neGUap7smEAwjCh1++tQjhPXlf0PUGNrmMQhOu/7bwoGQ+PyGDdt3AByzURqkKQZGvOVv59dE92WQTD/XVg0j3kzbWNvdkp2n0UhkuDgk2hlVJKVEXw0c0RmqZRLzR838a0TaK8IIir/RT3cXnfZITQ8Cw6jc/WbvjTQNd1zp07x7lz55BSMpvNGAwG3Lp1izfeeAPP81bkJc/zR4TlPnAWhCWKos/cpvpBwleWsNzvSFiWZbz66qsEQfCZjzedJT5PwiKl5Pr167zzzjt8/etf5/Lly5/L+8KDPRJ2v+L6bTgekrYJH1dc/+bgTf7ZK/+scqTagjiPqRk1bs1vgahE9KZmkhUZ02S6En07hgOSEzbC6wjSAFtzuD2txOqOXtkeA4RZsLIb3maTfBxLJ7Bxdvr9DNXA0RyKKOfu4T3Od86jWippvl4YVML/5nbjALmwLd7y+FJ8v8m2GBb5LfPTnR9Lt1ClxiQ6ImNCgGf6OJpNVuRYukWYhsS9u7Tfvslg3EORYLgejW98l3ldo7cwQ7A1G1f3CIuI/mxIx22TZyWWaTIJZugZNCSMhEQrVQ6LkrZakZY8OxrBadZ9dKFzOKiOqTg8xBSCYalwoMGQkhAVuywZfngTmuujBxo6tl0wnh0iNI1WpwNSInKVKJowGg0pS4llmViWje9uHoOsey6TYYxXt7AcjVkYMolmEEG3Vd86ZujVbOJg87ie59nMxtsJS5Ztv2bYrsXMb8FwAMdlTwttln+pS3/H6KPj7C6gXcfcWcj7ns1oRxGvqoL3P7yJpmm0mi3EBpF3siOZHqqRs5OE5Tg0VWE6j5ElBMfIpGnp1HwLoaloulqx1y3HwjDUvRku6h4NjCLEXh2Ncx+EZZe+BaruyXwDkVjaJktgOhlTliU1z0OWksk4RC40QLatU/NsFCm3dl+gsk3eNDL2eetXPg2EEPi+j+/7PPnkk6Rpuuq+vPLKK0gpee+99zg4OKDdbm/UDj7C2eWwPHIJewSgsuO9du0ajuPw0ksvPVQ/vM+LsBRFwWuvvcZgMPhCAjMfxJEwKSVvv/02H330Ed/97nfpdDYlVO/HkrCc3L9PIq7/vY9+j//7w/97JynQFG1l7Vu9EVXHY1EvqEKlaTexFIu4iHfqTFShUjcb9I8V/xVJORo5M1STA6dLUqa4Ro1ZOqPcINhv2x3G8Xhr6nySpxTzgo8GN2m3WxRaQZEXlcBft9EUDU3RUBdjb47uEOfJWvaLIhRaVmsrWTFVE0MxGUXjU4+tiNAGsuIZNVQMhAJOzUFKuerkJGnKNDzmepZk1F95h9F8TLvWAKGQT+aM/+iPiL/zbUS9QcdtEKclh5PqvTpumzKHUTBBQdB2O+Tnz9MzX6MRpYxVjY4m6BcpB1HKvSefRFNVmnWPNMs5HB/bH1WllUOow+GxUEy/ENw9sWLqOzZBPOP9Gx/RaDRWws9m3WfUD2k2mkiqBZ84jsnThDdefxfdMLAsqxLw6zqWpePXLQpyZuGck02RONp+vu4aB7MMgxmbC11NV5lMtxMC1zWJv/ECyu/9PsQxaFo1x5Pn0Goin3oKJttHofI9uST7rlbaDhvgLM8JghmGYdBoNNn0s9c0ldmeUa196fWeZ200DUjibEWG3JqJkZd4vo2iKQuXrXRFYDzHYrDJYOEY9hGJfaNtwKpbuA26ru7NkrGtzYQFqnHOwWCAY6pr3azV6BgQRxmykMRpXmlf6g6GdaR9Wb2P+fATlpMwDIPz589z/vx58jznt3/7t7Esixs3bpzqvnie95VJZd+Hs8pheURYHmFlx3vlyhWefvrph+5HtpzF/SznSeM45tq1KhH9pZdewrJOW8Z+1njQRsKWhgPz+fy+xfXbsImwnBTXHx9f2IRSlvwvb/0v/D/X/5/qD8e6Jmle2Q9LZOWGpeprI1gnUcgCVajcDe8ipURXdTzDQxUqUR4xT6sRG1M1MVVzRyo9CAR10+fm7ObR34RSfTbVrIqAPMLRHA53pM5TgpyX3Jrfo3vQRdeOFhWyImNSZLi6QwlE2XoBpisGpmZgqCa60CjKkq5bdREkEilByhJFqAgpyMqcht1YjTgpQoAQmMIkK3O6tU71m6MkL3JM1WQcTMmK9fdt2HWCeF2QrwmNg8GMfDJD7TQZCKhLndCrUw4HHPQnZBefYB4lRGmCrmh0vTZ3BwNKKVGE4JzX5XA0ojB1rCefwnjjA2KGDBQFJy8Z+m38b36D1NDoT8bU9KNzUwDnnnmaw1v3yJMUjOo42nFCXxiwcPnTNJVm02UymvHB9Vu0Wq317IZCWdumoesYus5Bq8mdO2PiOCJJE+IkQeQwiwRBOEdVtVOJ9DXHYralWN03Dhbu0IjUGy6Djbkti10oJfLxJyjzAuXnP4cwBCGQTzxO+cvfZ7aDRCnKdp0ObA6yPPXZt3QL0jSlPxjw2OUOeWlsJCsAdc9iMNpOFAQw3SOm32caYJoawUI3MugdnceGqeP5Foqu7dWvGMZ+IqHvcRCD/foVzzUZ7nBDg+2kpyxL+oMBmipwao21a+3J0TG/ZpGMgkr7MgqQi0wlxzao+TY527vlX7Tg/qzx5JNPous6SZIwGAwYDAbcuHEDVVVptVp0Oh2azeZDtQh81jgrW+NHhOUrgG1F3vHV8c/SjvezxvKH8FmFOC2DD9vtNt/4xje+MFeQB2kk7Li4/sUXX/zUhgPLG+Jy/z6uXiXOY/7ZK/+MN/pvHP3xRNdEV3Q6ToeS8lR2ykl03A794KiLkBXZGsExNIO21a4cZpLtBaGmaHimf8rlS8qjzyCEoG13GEYj6qaPoRqUsiQtUoIsqMIAS0E0jphlM7oHXVTl9DlYif0DsvL0qmZWpmilRlIkDLPNRK1hNZnG442dKVuzUaTKID3daVoGP5Zy/dxsOU0m4YyiLKiZLrZug4QoSbkzfhOhFiCgLg2KQtBUDMa6znwyREYpaZbR9Vrkec7hcEQpJQ3Xw9Ic7gyq70ZTNfwf/Ii7tQbcvYtIU8zu49hf+xq9LIUkpuu36A2qY+25DkKRRPYV8svXEbduQbgQGgudwye/BufP0+34jOczrn/0EdNRRLfbxZCycvXq9XAMg3HnMbh0aW2fhRBMZzE1z+b8RZ9pEBAnKUmaYmsqd+4OKIoS0zRX3RdV07Ati/l0i4NbzSEONp+vrmMR7NCv7Mpi1VSFyWIcSz71FMWVKxDMQTfAsvDru7Nb6nVnp51xvW4znm5/vWXqKyJwHPGi8PN9H91wKXZ0JvZd733fZrLjMwBbwzSXqNVMkuHp30SaZCsCY9sGFuB6FkJVmMcZ8bFMFs82GaS7icS+DBfPNfcSFnXP8dhm31yUJf1eD1XTePKJSzsd04QQKIpyyjZZAlGUViRUSkxTp14z0UyDMC2I0px23ablffrAxgcBy3vVsh4wTZOLFy9y8eJFyrJkMpkwGAz44IMPeO211/B9n3a7TafTwXXdh25h+NPg0xKWZY7OI8LyFUWaprzyyivEcfypV8e/aBwnLGe9inHr1i1ef/31T6zNOEs8KCNho9GIa9euce7cOb7+9a+fGUlc7t/HJSuDaMBPrv6EO/M7O5/nmz6HweFq3MrRHVzdpZQlk3RCXuTVeJddXyMrm1DTavSC3qq411Vj0YFRiIuEeTrDVC10RWO0o5OjKTo1o7YaTVu3P666M67iMugNMS2Ti+cvksmMIAvXzoW202EUDU+RhiU8wyfJUqJi84p32+kwDEer4Mr113qkeX6qawNLLct6xoqqqnTsDmUpqds+szhgngQUZYkoVcI0QlhWlV9SmBQIJqTMZYaZ5ah2A8tymco5QRySpxUxadQ8yhLuLshK26+jKzp3+0O4cAEuXODA7zALYsK42k9TNxiNAxRF0G749Cdj6jWP8TyE738fcfkx6PewVZ1+4xyNp6+QyozD0ZDRaISjGbTbHfQ8R/nd30WMKsLm5SXROzcpv/Y15He/u9r3g26DNMsYTWcs/R2EEFimScPzKaVBnufEcUwUhkzGYzRdJw0TJCqGYZyyTkh2WMc6jkkw20x0FEUw3aEPqZ9Mt1cU8PzVP01Tg+1cfK8mQ9N333JrNfPUmFQYRYxGQ5qNJt1uY69tbrCna2HuEeQbhrqXBOyDbeuVcQEQH+sYuTULp1ad3/uO1f1kuJiGtvc5Ybxb31JzrFMjdEVR0Ov30XWdVrOJsed7A9Z0NJttk3VmQbIgetU55rom33is+aVx1lpOO2y6PymKQrPZpNls8vTTTxPH8ar7cv369UqTdaz7srTo/rLirGyNH+Y69ePiy31G7MHxVOrpdMq1a9fwPI+XXnrpof+xLFd8znJcqixL3nrrLW7fvv2ptBlniaX17xd5wV8SuGeffZYnnnjiTLcthKAoio9FVt4fvc//9Mb/RFZmWJpFnG9eGTxwDjiMDtcK6zALV2L4qsvRxlANojxCEcrW4r/rdOkF66NbWZGujYU1zAaKoqIIBV3VmacBabFebNiagyLUnWJ+tVD58PZ1TMfEdE2GSy2NAFu3MDULV3PIipym1SSXBWmekBTJ6vO3rBaTeHoUcpllEMWgqeA4HLgHHM4361kaZpN5HJzqugghOHAOiNOYttNCEQqFLIiymJrucm+6HoTpGi5FLonSiLrjY1x5DuXGIaNhj7zmglAwZwFtzad34Tyz6QBDNVAwaLgmg/mIOFWJwxzbsLBNg7woGS4IhKqqdOtNDnuTNSLnmTVytSQrUnqLHJYiXXxvQqkS3S9cwG+1SbKU0XRKWZYMBgOEANdtUpQS8cYbiNEQHBdNURhmGqQJyvvvoz75BPXnnmAeh2RFxmhyWhxvGjrjSYAQAl3X0XUdz/MoyxJdEfQOJ2uZL7ZtY5omjm0djV3FMeL6dcR8jnQc5BNPkETbg9TqdXenoP3kWNpJxHtcr/bZFe/rXJxs/syDgMlkQrvVxrIsHNvcSVhsa7cDGezfB79m0R/u1p7s20/XMTfm3ATzmGDRoXJdg7qhYVoGSVkyDdK1kaldVsRLbBO3L2Ho2t7Papkqs2O7m+c5vX6/ItTNJgI25qYcx7YwSDgq3l3HJIzzo+6LlIRBwqV2jTzPV/fs5f8/jLjfexRUv+lLly5x6dIlyrJkPB4zGAx47733iKKIRqOx0r44jvOl6r4sFyEfEZaPh4e7Kj8jLN2cnnrqKZ566qkvzQ/jLIX3y+5TkiS89NJLD4yV3vIH/0UQlrMS1+/avqIoJEmC4zj3dSP4k9t/wq+99mtrxbRruDiaQ1ZmTNMpyMqZ6zDcnSRf02sEWcBgQTpUodKwGhiKQVIkq2117M52560FWnaLSTKlOFHk25qNo7srN555GhBkO8bJUo2bh7fwGh6uc6IwlRBnCa5e49bs9sbXVyNw3YokmHUUBMr1G4iPblTFr6aht88RPu3SdtrV/JAQVSYJle4lLwoatg5ISllSlAV5meOoLvemp49DlWq/3p3yzBqW4oAKIJhEUxpWg9nXv075zls404B6qRA6TW49+QSy5qApKh23GjU7nM7RVR2ZKzR9n+FsTB5nqIVRZST4VXBlFGZrZKXheiBgfGycqu031jQdmqbSbnoc9iuXr6Io6Pf7qJrKc08+vXqucusWqBooCk0UekDN1rCDOYP+R/TO+VU3Z775+/RrLr3oNJGpVmLrFHmlw1tmvkynU/I851ynSRSBE0cYv/d7ECwINuC88RqzF//sSnNzEuoOQTvs1peYlr4zcX2fnbFpajvDIEGutCUSmE2nzOdzOp0O5mK8dJ+g33XNncW1qqp7U+O3imNW72HsJQE75+4Ay9IJghSCFKi+P1VTqTcdVF0jSLK9VsRCwCzcvS9+zaQ/2k3Q8mOkJ8sy+v0+tuNQr9er37yuMo92d3Fc29hLavL8tO5QSskLT19YjTYfv18rirL638OCT3ofVhSFVqtFq9XimWeeIYqiVffl/fffxzCMFXlpNpsPfTDl8nv+NPtRFAVRFD1Kuv+qoCxL3nzzTW7dusV3vvOdL11i6FkRltlsxtWrV/E8jxdffPGB6j5tc9L6rJHnOa+88gpBEPDSSy+d+UVj2TWq1+tcu3aNer1Ot9ul2+1uXG2SUvJv3v03/Ob7v3lqW0EaEKTVEqKt2XiGhxSSmlFbCeVPomW1mKbrVsOFLNY6H6Zq0jCblLKkbjWYHbM9Po6u06W3RTi/zG5p221G8YRClri6i61ZCKGSlRlBFlQBirHKjcFHtNstTPO0wYOqqPjGMZezk5CVJuXO9GhMTtw7RLz3Hug6qm9TzzUO77yDTIfI559fK9669gG3p3dP7YYiFBpmoxoDOwYhKoezJVlxFzkrmqIxmI6ZFce6T1aDWTinduEy6sXHmB/eIcBioimgqnT8FmUGt4cVyRQIOm6bSTCnN6nG6+pmnbBIaPk+w/mYbq1Nb3A0TtdpNoijnPF0fOyzC8JgmT8BnZbPOJhRFpKylKsCzrIsms0mYXC6KBOAiqRp5YxKyXyReg/guy69cLPWJNpiqyuA2UJjIYTANE1M06Rer5PnORoKSTzG+oM/oJzNkValkVAQuNGU8I//mOI//o9P5agoqiDNMmqegaZVhaBQlgVkRdSKvERKoxLZL40tqB43TY0oLhCChSFD5bZVlCVFUVKrGYRJypYmJLWFKHsbfM9mOouRVBrBOI7WjCQURdlLNva5f9U9k+F4d9di30iZbe0nLPvGtGquearbVOQFw94RgbWBjmdRIpiGySmy5tWsveYBu1LpAYQiVsc0zTL6vT61movn+6tX+q7JYI9ofw8/20quLnR9mvWje8eStCxX4PN8ke/ykHRfzmrh0LZtLl++zOXLlymKYtV9efvtt0nT9FT35WHDSa3PJ0EQVNeShyVq4yzw4FSenzOklPzsZz8jjuPPpOB8EHAWI2H37t3j1VdffWDd0pYXx8/TKSwMQ65evYppmp+J3fVxvcq3vvWtyh2o36fX6/Hee+9hWdaKvNTrdXKZ8y9+/i94+d7LO7dbM2oUsljrrCyDIiWSWTojzdOqIxCeDj88Dkuz0ITOveDu6m9LK2NTNUjLjHk6p2k1TonrT6LrHKwRmiALCI7ZH8tSogQK02jKC098Hd3QSYuMOI9J8qowsnQLTWhbrZYVodC0WvSOj3lJCffugapguB4mOgMlAd9HjMfI6Qzq/lE+ywbb4mUg5DAYr/1dVTQO3APyIqPltpgnAUEaoikGo2hKfsy+uWk30IWBpVtMoikKCn77EpP5jI7XIM4TKBWGs2rfapZDzahxZ3i0L12vDaUglxnDeYxj2AzHFRl1bRvdUBAI5sF64dX2m/T6U5qNGmmR0puMMA2D4Xi2cvipLRKv236dweBYwX35Et03X0VRNe5Kvfr60hRUddXh2CQgB/BrDtMt1sANv8ZouLlA9GoO0Tyno+uoYYQ0DaQAihxTKRCGQjfpkRdD5KXHyIuCNMtJ0wzXMZlOtxtLdNt1ev3NuS4AzUaN0XB7909XQCYpqqpgmjqarqHrKmJBjAxDpeFZJGlBnGanilzL1JnMYobDIVmW0e0erHUZPM/cKfwGuZfQqHtctxxHJ9yRzwKsyOg21FxzTyeJndcWAN1QGQznq+cJUbm7GZZBnBfMogRL19htE7KffPludUyX57rn+3gnRmzu5563L29mG7l65sr6IunxjsrxnK2HpftyFtkiJ6Gq6oqcHO++9Pt93n33XSzLWj3eaDQeiu7L0gzp09RTS8LyZaxdt+ErS1iEEDz55JPU6/UHqmNwlvg0DlrL8KcPPviAX/qlX+L8+fNn/OnOBssVp8+rwzIajbh69SoXLlzg+eefP/MbxiZxvWVZa6tNg8GAXq/HK6+8wjyf89vBb1MaJW2nTVREKw3KcWxzy4rzeKVxUYTC+dp5ClnQNJtM02Maj2PwTJ80T5hn68VdIQsmyRioCva6WSfKYzpOB0mVw3I8tFIgaDud3YSmhHScMs2mtNptxtkEju2Cpqi07FblGiYUbM2mkDl5mZPkVXq9pug4msMgPGGzXBSQJjiai0RlKhdFh6ZBWSKyFLEiOhsCITULV3MpZEHHa1fp82VOnKcYwuTOZN3woGE3mQUBhSzQFI2G42MoBvdGfYrFsrxA0LJaIAS2ZdGfj+jWuvRGQ0zdxHccZAl3h0f70nQ9ojhhHi++dwmGMEkI6bYb9Ccj9FKnTNdXxVVVJUsLmk2X0eyoE+PbHtd7txmNRjSaTdzFCma20LmomkKr6TL71rP0Brdo90fAIqtEUZBPPYXsdml43lpy+nGYuglbclIUsb3g8D0HQ88wRIBmRGSGTqxqRAgkgruJDmVJ/4MPKZMEy7KwLBtN0zBNA9he0Ec7xrkUwVaLZai6M0tdTVGUhGGytn9CVCYJWZqv/m07JqaloxmVpbOCJJiNKYqCbrd7yt1K3yP89jyb2Z6Owz59i2MbewjLflJk2/pewrLfithieKwbJSVMRgFLsbph6qiypOPbTKOUNDt9nbJMnWhPzoupa5X4ezikUa9vLP7CPaNe7n0EV5pbvrtnr2yf6jhJXpZd9we5+/JZuZIuIYTAcRwcx+Gxxx4jz/NV9+XNN98kyzKazeaKwKxZrj9AOKsMFtM0P7Ub6cOEL2elfp/odrsPhMPUZwVVVVcXtY+DPM/5+c9/znQ65cUXX3zgW46fF2G5efMmb7zxBs899xyPP/74mW//fpzAVFXl4OCAg4MDPpp8xH/1h/8V99J7xJOYPM8xTZNmrUnbb6MoCtO00kYMosHWDACoiilP97g7P+qYCCGom3UMzaiS7tMpTbPJONoe4ghg6Taa0FaC+3l6RGwM1cA1apiKgSJU+tF25zFRCCaDKbmS0+l0EOL0Bd4zfIbRaGsgpq05GIpOvshQUUTVaVBEZdZgmh3kbErhGNSEUUlWshQUB+lfQHU65GVB121TAuVCr6IqGkmaMDjhdqYpVcdlHI7X/t6yWyRpStOtU5Ql42hCXpSMpkdkxVD1lR1ymldFUsdtMZpO6dZbDIMxcZqsCkrbNKlZNlGUH5EVoOO1kbnEMDV64+rz+ZZHPzwiJbqu0W00udNbPy8MTefD67cYTya02+1VtpLv1oijjO6Bx3g2q8T6mob1H/05+m++B/d6oGvIS5eQly8DoLKZeAghVtbBJ6EoR49pmkrNM9FNhUKWRHFMVIRM4wh0FdWtQRCAXXU46wLSIgfLovHMM8SyXGhfZiiKQhpFSFRM0zz127Itg/mORHW/7jLeIUT3PYfhjsc9z2Z6bBRLSoiChGhRuCuK4O7dQ4QQdLsdarqG5RiomkohJXFadYp2wTZ0ZjsIWZWdsruwvp9AyX3J8/uE8DXXYL7nc6jK7pXnPM+5d3u8+rx+3cFy1sX7NcfYG0w5HE8ZDAY0m82No0Wmud/EwLH1vYQl20CohBA888T96R6Xxe1xzeYyj+tB6r583lpSTdPodDp0Oh2effZZgiBgOBxyeHjIO++8g23ba92XL5rQLXFWDmFfNjOCffhKE5Yv+xf9STosy3EnwzB46aWXHgr2fpbmApsgpeStt97i1q1bfO9736Pdbp/59j9ucv0r917hX/ziX5CQUPfr1P1qvj+KI4bzIXcHd9E0jYuNiwQyoG23SYqEWXJ65MXWbBRFOTVOJaWsLIUX9ck59xxxltBy2mRFxiyZniIuvumTFKe7L0ukRYqSRWQiY74Q11uqhaNXovJcFsRZTBTH9A/7aI5G028uJO/r6LgdBsEAuWW+xDc8kjxjki0GR07ULi27xd3zPnJ2F6YJ0rIgzxFhiNm5gGpbzKf3Tm3XMz3CJFol1i9hqCYGJpOoej9V1aibHpZmMQurkbBgkTvRsBrMgjlFWVK3fXRVQ0iVO6OjblPd9lBQEYqkNxugKRp5JgBBt9msRsRKl3l0VPx7lk1RlIzmxzomjkd/VP1bEYJ2yydKE+71R2tkRQJZlDKdTquMlcWoo22Z1ByLeTSkN1rvMnitNr1nNXj2ubW/65rGaEvKedOvMdzQebEtnWazRprlxGnCPIwYh/FSk41tmUeieFWl/KVfQvmTP4EoAkWhyDJQDMoXXkB1HFzAdWuVG4+QDIZT4jimLMpF56X6n6qq1FybKNw+DqbvKS6UPQW2ZehM2dyhyYuCNJqtQvUEYs1NCyrhdyElfs3GsHWEopDmBUGUrrQd6Z7FKc+1SJJd7l9yLxmxLGPnc6pgzD0dGGs/YdlHAPyazfgY6Z1OwpVdtaar1JsupqpgGtrWLJc4ihiORqfDT4+hZhske0jPPoKmCLGxo3TpnI9rf7L766buy3ECs7zvL+8ln1f35Yt06xRCUKvVqNVqPP744+R5znA4ZDAY8Prrr1MUxVr35YsIul7iLAjLfD7/So2DwVecsHzZ8XEL+cFgwMsvv/yZjTt9VvgsOyxLcX0Yhrz44oufmbh++fn3JdcD/F8f/F/863f+9amOiaZpeDUPr+YhEOiFzp3JHZJBglCq0TLf9el6XRRFYZ7OMVWTqIiI0l3p3IK21eHefFG8J8u/K9StOoZqUpQ5KirDZHTKCew4fNMnyVPm+ZEWIC5i4uKoyFFTlcPePc51ztGqtxBCoSgLkjwmzEOkPB1ieRItq8U0npJv6QR17S79YIBstxHFU3DnDiKMkKqCc/EKxeNXmKeni7uG3WAez9c0KLBwO1NdBAJLN0nyhFkyR6BwZ3S4RqrqVp0kzWnVmoRJxCSecuB2OVyI53VNo11rMp7OmWSL0S8JdaOOEAqlzOn179EezegP3kc4LtrFizQaDcoMBpP13BpyARLaDZ8oj+lNRnS9FvPy6HlSSqaTCWlY0j2otBM118ayNeIk5Xa/v8FsQDCZbu6UNDyPXrRFYSCr64ppadRqFkKRBFFElITYmc5wtJk4VKTiqHiUTz1FaVmIt9/GGI8YNg8on3kGeaL7KYSg3W5QlioSyLOMOI4JgoDxeFxlo5Q5aQq6rm/8/e0bcdqm1Vli20p/llemBhcvtLEtY+tvv1536PdnTMcBjNcfq3k2ds0EoVCvWczDhGJTp2TP+tz9jJTl+e77ie/ZTHaMzgGbP9sxWJZOuEfUr+9we8uzgsHhFNPUSJIcz7exXJO0lEyDpAq2DQKKNKDVbmOZ5tZt3c+a5r7xNt+zGG84Js88cTYmP9u6L8fHyODzGR17kPJkNE1bTSNIKZnP5wwGA+7evcvbb7+N67or8uL7/uf6uc8yg+XLvvB+HI8Iy5cY90tYpJTcuHGDt99+m69//etcXox0PCw467yZJY6L61988cXPTFy/JB77Lph5mfM/vv4/8tPbP6VhNtBUjSALCE+kRS8F6PN0TrvVRiJJkoQ4ijkcHHK3dxfLtLjQuEBqpNTNOqV+FBR5HJqiUdM9+ht0JlKWTOKq6O06XfrRAEe3sbUmAFEWrVkUt+z2gkRsJjRSghIr3BzeotVqUuqS/gndiaootJ0OWZHRcboIKhFwIXPShWalYTd3dl4qAf1ifwTIc+eg3UYmKb7dIFIEWXG6wGzbLcIsxtFddFVDVRTKUiKEYBaGDJL18bC202Y4Ha8+h67qNO06WZITZdFKz9N12xyOh9imRc10mIZzZvOQOFsUQhIu1M8zCeaESQiTCc7PXiYczlGlpCsURu0G5a/+hwyydeLe9lpkSVEFIs7HADimRX90RCaKsmTQ79N0fLy2Tb1eQzcUhtMp81TS8ZvM5emirOnXGQw2k4twwwq6oggadQdNA7ehEYQRybFCTtM1xpPtHYBkg5ZAXryIvHiRWrNOf4dgfvnayqb2KPOlKEvyLGE4nBPHMYIqH8JaZL4oikLNtZjvKORrNYv5lqBKqIrr6YaCNUlTBv0+tVoN06ztzWjZhvksQtcURgvNhxACv25j2AYoCmGcEcbJXu2JZWrMth9CFHV/98TYYxtdpcrv3sYmB7GT2NY1OdrGURdnNo1W+iNNV5EiQ6QBj1++yCTYk6uzp9PjueZewqJvMTrYpV/5NNjWfdk2Orb877PAZyG6PwsIIfAW5iFXrlwhy7JV9+XnP/95ZQXfatFut2m1Wpg7SOxZ4CwISxiGjzosXyV82Znp/RCWsix57bXX6PV6fP/736fZbH5On+7s8GnMBbZhOBxy7do1Ll68yHPPPfe5iOt3IUgD/ttX/lveHb4LsDa+tUynz8ucUpbERbwat4JKyG2ZFpZpUacaHXNKh5vDm2Rphm7o2JaNbds0nSaWbpEX+Wp74y3OW8ttd44J549bKMNRar2rOyR5iq7qG3VVspQQwJ3ZHTrdzsrK9Tg0RaNmuBwGW/JjJHTdA0bhEEuz0FUdVVRBlUKAQEEXBllZOaGtXrTYE11o5EWJiaTKWKlyVvIyx9FderM+pSyJjo32eHo1dpbm64VNx+7Qn45wDBvXsMmSGPHOO0w+vEGWp4hGA/nEE7QvP02WlbS8BqP5mDiNqVsNxvOKULRqdQzFWDiCVV66yiuv4PZn0GgSq3CvyDD6A8I//BP45V9efQbHshBIpvF6FeroDqGsiGaeF/T7PWzL4uDcOVAko9l0pU3XVY3ReLMzVp5u/s3VazUmi9Exw9TxPAspCqZBgGoIDvubz6dGrUa/v7kr41jWzoyUcsdYjmnqTOebX6sqCgfnDxjoQZX5kqREccRkMqEoikrUqrXJi3JrLohtmzsJi+/bDHrrx3Ap9K7Xfc4dtPdqS/a6fx1LjZdSMh2HcMyKt9FyEZqK75ikecksSE7pVTbpLNb2w7MZ7wlyzPZ0YGo1a28XZ5+DmKYpzHacC7B57EwCg8GIIKiybcowx9cULMckKUsmQbL23rvCIJewTH0vYdlkCKAogqcfP9vR4k3Y1305a+H+Zy26Pyvous65c+c4d+4cUkpmsxmDwYBbt27xxhtvVK6Ix7ovZ10rPhoJ+2T4ShOWLzv2EZY4jrl27RpSSn70ox99oTOdnwZnPRL20Ucf8eabb/L888/z2GOPndl2l/i4ZOVecI+fXPvJ1nDGZTp9224zS2fUjBq+4RPnMbN0vVhVhUrX79IP+xx0DyjKgjiOiaOY6WxKX+lj2Rbn/HOgVt2a7sKed5rO1sa9VEXDN/ydLl9FmaMr2lqQo64Y1AwHTdGRsiSIQybjKZNsTPegi6qcvpDbuo2CwjienHoMlo5j7dUxyhf5LktoQsUz6vSizYGSbafDndm9jV2ZrnNwKqUeqvG2KInJjnWlDFWnZbcocolj2IRpSJgE1F99k+T6R2SGBqqKcfsu7cGcmVpj5h797jpuh/54RNtrkBUZURIzy2JWldRoxMXBnMCvMVEX57yqUjc9+oeHEIYY9Tp1z0VIhcPBeO0ze7ZDfziGPCeVksFgwLlum4vnz3O3v94hAmjWfA77p4+55zpMtnRDbNPEOKeR5imTecBgWVzmOemHH6Fcv1m5iV28iLx0aTV3s2vcyHWsrWNCqqrs7Mx4rk2yIaByBVm9vxAC0zIxrWp1NVuMjk2ncwaDKZqmYdmV65hhGKsJqyzdXaQLuf77DsOQ0XhUCb1tB8cxdxKWWs1ivoew7BOG66q6ZtmsCIFfdzBtnVxWSe77uif7XMo0Tdlju7wo8Pc8535GrIaj3bko+QkCK4HJeEwUR3S7XWzbYh4kSAnTBQnTDZV6wwVVYRKmuPbuEM7qfXbfdzRVYbrhu3v8YhPLPNuO/f3gs7ZNfpBGwu4XQgh838f3fZ588knSNF11X1555RWAFXlptVpnous9i05UEASPCMsjfHmgqipZtvmCO5lMuHr1Ku12m2984xsPZBv3fnFWI2FSSt58801u3779mYrrlzeI+yErbw/f5p+98s/WuhabcOAccBgdgmQt3NHQDHzdBwFJlqAoylqwoqqouI6L67hIKYmTGKuwuH7nBqUsVuMxlmmiqhq+6WOqJsjKxngYny5yl9AUDd+oLzJWjpCVKaO4KrDKvCQcRmRqxpWLVypistSsFClhHlLTXZI8JSq2rZJr+Lp3anxsdQwUA0u1GEWbV/a7TnejbXH12Ob8lYbVIIxjbN2mblU3sDCNcHSHu+P1kEx3FpPeukPqOTQNF1UIMrtk0BuSvvsWfPvb1XvVOpQF1GyHwXyEIhRquke00Pv4Tg0nTLgnJYV6dN400egJiVGmtF2bocgJk4hwfqKTJUuMN95Fef1NZBjQ1FTcrz9DaZ9jMD7d2dilUTE1i9kx217XMXFdk6zI6U2HFCcLuSyj/nu/x/zmIWIZyPjBB8grVyh/5YeYlrGTdOwaEWr4NQb97fkoeb69qBSCjeNaUK3C2rZFkZVcuOCSJAlRHDMYVOeZZZrUai6jERsd7CrIte3P53Mm02kl+l2En+76fAC2o+8kLJatE+4p8k8W1qWUa3qYZsNBVxUs36CQMAsTshPjhfvGtLyaxWhPwOK+Ls59OYjtuVcJAfPg6HhJYDwakSQJ3W4XTdXwa+u2yVARz/7h0e9Adw0O6jZRVjKLklOdn+Ohk9vg1SxGGxzxnj0j/cqnwUnyAnzq7svDSFhOwjAMzp8/z/nz56tu5bRykvvoo49OdV88z/tE3ZezsjWuncgM+rLjK01YvgojYXF8+oJ669YtXn/9dZ5++mmuXLny0B+HsxgJy7KMV155hSiKPhdx/f2Qld/96Hf59Td+HSEELbuFKlTm2Xwty0QRCi27tRYGeRxpntLP+1VoJAWKVOg6XUp5WrMihOCJ1hMcBoecc86RpSlRHDObzhjlQwzTZGZNOagfUIiCJE9wdAdHdwBBksfM0zkSialamKqxk9CQwaQ/RbEVGn6DIAsJTmTINO0mSZ5gaRae6aEgKJHkZU5WZJRliaZojI6RtONwNAekYLrBHa0aIdtMVgSCtt2hPx9gaRamZlZOXgh0RWcSzsiKbM0prON06U+HHK9sbN3GnY5QspJJw2JEhi1VykIhs0zEaISqqHS9DqPZjDg9+r223Ra98QjPcdE1jXE4BatGaRqIOEY6DoqEPBeciyNGvsMhOZQqnmIRyPV9br77PpOrr9GWOTMVwhyUX/yctmFxePnKqWPQ8hsbR7Q0TWM0mmHbJrWaSZTGzMOQYBzSaTROkxVAvPcezs3bzE23CpYEyDLEhx8iLl/G/+Y36YWbu2euYzPbMtIFbE2Wrz6rupV0AdR9l/Fo+7YbfiV2VxQF267GJqt8zJQ4jinymN69AYZprlzHNE1b/bY9z2E2iZDAdDolCOZ0O53VKq2qKlstnpfIs93XtlrNIo62kwlFEUx3HAOotB2j3ozZsectxfyFhDjNmQW7i3NtTyilooqdY31wfw5iUbz78eNjZxLJcDgiz7Iq22Zx7u2zTQYYDuYkSXV9NEwdr26DqjANU7K8wHPMjd2T49DUzUXps1fuz87488JJLcsn7b48qBqWTwohBPV6nXq9zlNPPUWSJKvuy0cffbQw9DjqvtyvzvWsRPePOiyP8KXByZGwsix5++23uXnzJt/5znfodr/4VZ6zwKcdCQvDkJ/97GfYtv1AiOtLWfK/vvW/8u+v//vFBmB4LO/D0R1cw6UsSiRyrWOyCQ2rQZAFKyH5qlsjWHVMClmgoq70IYJqpckwDOq+T14UxFGEURi8d+M9FE3Fsi1SKyUwwtV4jKZotO3qZpyXObZmr41mrZAIev1DnHrV3dmEjtNhEG4Xz9f02iKQMsTWbHRFQ1FUVKEihEBXjOqGK0tcw0FKuVoJFxI0pcqXOXC71VTQqgMmURWdaTRFsh6u2bJaDGY9yhNV8nGyoikqvu1jqDqzMKQnYxStQJYFhlBQCpWIAi+XWDWH0LToj0dro2XtWoskzWj5dYbzCSDp1jr0kjHiyadQ3noTdTrlvGIxSKccahrl018DVaXp1hmdcNpSkoTaG2+RqAW3DQNd11EVBSUImb/6GhxcAmP9vI82BAjqusZBq8k8jJgEc6ITK+ppslnErNz4iCnqEVmpNgZpirhzh/jpZze+DsC1TIItVrqaqjLZYp8MUPfcrcYAUDmy7cQWsy3TMDANg07bR9fH1VhlHDOdTlFVBcuysSyLTttjCozHI+I4ods9WHtP37cZ7RhvUlWx13VL7nHd8uvOmgXwJkQbxu3ms4j5gmC02y6qpmK5JrmUTOfxKTvfXcGbAH7N2quB2ecgZpjazrwcOBo7k1IyGA4oipLOiSDOfWGQNddcc4ZLk4zB4cK4QUC94eLZOmVRMt+x35vc4TRV4anLn71+5dNgl23yru5LWZZf2iBuANM0uXDhAhcuXKAsSyaTCYPBgOvXr/P666/j+/6KwOxy8HpEWD4Zvrxn1iOsjUplWcbLL79MHMe89NJLX6oT/dOMhC2tnC9evMjzzz9/5t2mj6tXifOYf/7qP+f13utbnxNmYTU2JasuR8NqoCv6Rs1Kx+lsD42UME2m6KqOo7mMknFlU6yY5OW6ZkVTVZ48eJJe2Oecd444SYijiH6/jxCiKtBsi/P18wyiwVqQo67ouIa70qyMR2PuDO5Qb9Uxzc26qa7b3arZAWiYDYI0JCurgiDKj0nh5wGteU4vC8lrNfD9NUtXVaj4Rp3D+Wk9i6ZoeLp/5CJ2/FjabQbz8SkC1XW6pFlG12uTlRnTaMo8DdAxqtyVdqfqhkwnuM4BmqKipgmzMiG69DRaJtbISrNWR5asieV9+yhLRTz7LO1WC/n2m9yZhpQHXeSVK8gLFxEI0uSITKmqoFX34dZtPopDMqNKRlYW52HbsOkFCcymcGwEslnzV65TihA0GzXkQpA/mk0Jo9NFo+c4TGebC+MmMNoyNuUKsbODssupqe45DAbbCcu+Yn5X8StgL1mYTmM0TVvlP8iyrH4bccxoNCKOZkRRXtlKdzqnCNK+roRfdxjtCKSE/c5durH7PUxT22vbLITCbDJjtiA+ihA0mg66ZZLkOUlWMA/3uGXt0MCIe3dRPviAQErEufPIK09UtmQn4Ncs+sn28T+otFClLKvRPQndTmdtkcgwtb021FWnZ/NzpITJKICiZD6NsGyDWt2mRDAJEorF4pmmqcw2HJMrl1s7bZkfNHyc0Mo8z898we9BhaIoNJvNlVFRvBgXXRIYVVXXui/HiVxRFJ9aCxMEARcuXPhU23jY8IiwfImx7LDM53OuXr2K67q89NJLX7oVkE86ErYU139WVs7HV6Xuh6wMogG/9otf453ROzuf17SbzJP5qlg/rlkxNRPP8BZheerWUbElXN2tbsCLbUyOidqFUBYdGAtd0Rep9NW+OLaNY9tICWlazfYzhzcGb2CYBvaCwKiqSlZmjOMxspTIAA5nh3QPutSdOpZapY6XZUlSJER5TNNq7CQrbbvNKBqf6nIAiJs36b5/j2E6oxSgaFol7n7qKRCiSqLX3I16lqPHxqce69gd+vMhSLANG0evwjZ1oXN3st5x0VQNU1jM4kVhZZr43/k+tZ/+gt64Ty4kUtPg0mXcp7/JKAqqsT+vQVEW5FnJ7JhIXFVUirSyT277deZxwOG5FvUnfkw+m62FRXRqLXrDCZqm0qp7jMMph+MB+XCMJgSmpq7OQwWYZSWoCpy8eZYKnudgWRrj+Wxlidz0jojMSVi6uTVpXTxxBe5dhbKEZfFYFCAEzhNPsK0HUnPtnZbCyO2/KUXZrsGBSl8wm+4gQ3WH8Y7uh+c5zKbrn00cGx3TNMHtm1V2kaKq9A4PMRQFJ8swfB+t0djrDqbu6cb6dWcVmLgN+zofNc8i2UMCThb4pZSMhwFQnQudroermaiGRphkBBs6NtsCGJWf/hTx2mvUZcpEGChvvQ1vdCn+wl+ounAfA4oiGE1C+r0+QlHodNqnrrv3Q3qKPfcTVVVW+pU4SokXx1hRBM1mDdVQUTWVe8PT7/PckwcfZ5ceOGzrvsRxzGQyoVarkabp5x5a+UXDsiwuXbrEpUuXKMuS8XjMYDDg/fff57XXXqNer9PpdGi32+R5fia2xo80LF8hPOzajX1QVZUkSfjDP/xDnnjiCZ5++ukv5T5/3JGwsix58803uXPnDr/8y79Mq9U68890fP73fsjKB+MP+CfX/gnzdF6J1S0fRSjM0hlJflQsVHkn/c0dEyDJE4qywDd9DsNDXMPF0R2KomCSTiiOBR42rEWXothc0EhZEmQhqtDoLYiPa7hYqo0QgjiLmGdzTNPkUvMxekGPbq4RRzFBWIXy6YaOZVmYhokIFcbHnMDmyZw5Rzd0beE6FqQhDauBpmgoCAopyWVOmid4hsfhNjIzmXDw7l16WoZsNatCPo4RN2+C72NceAwdfY2ULWGoJqZiMokXKfWKiq3ZGJqBqZhkeU7d8gnTcJWh0nE63J7dW9uOqii4qssknOE7HqZmMIvn6Bc63HzRRAz6kBdIz6N76WlGwZxuvcU8CRnMh3TdDuMTZKrttpBldQz6s2o0sFNr0x+P18iKpmrESUa3XWc0n3A4GVAUBVmQMNMNDg4OEIeHFWFQVdq5pBfHyAsXwfOq46DrtBoe8yBmHoec4grl5vNYVRRGk81FoKZpDB97Et75kEqhfvSYvHiR6bmLsCVXwzZN5rPNK92KInbqPxp+jeGGgvH4tmdsL+b3LezYpr6VoBVFQRzNURSFbrdbfU2vvIryxhuQZUhA7ba48+1fxmg0sCxr4zViH9mwTI0t8ZwAGJa+d4TqpIvZSTi2sdeFDAnDY3on2zFxPAupKivXr016D3HvLuK11wCwVMFEqFULo99H+cUvKL/73bXnbyJCa5/V0Xnv/Y/QVI1Wu4XYl5a5AfeTFeN7mw0GylIyWowgdtsergDHs8lKyTSsrKSffeLB0q98GiyJSJ7n/OIXv6Ber3Pp0iXgSLcJn09o5YMERVFotVq0Wi2eeeYZoihadV/ef/99oJp6cRyHZrP5icjLo5GwR/jSQErJ4eEhYRjyne98h/Pnz3/RH+kzw8cZCVuOxiVJwksvvYTjOGf6WT6JuP6nd37K//CL/2E1RpWX+ZpmpWbUquJZMbgT3NlKVqDqsE8DxyUAAQAASURBVJiquXr98VwUIQR1s46u6uiKzmHQ25lKby10IaNjwvkgDQg4WmE3VZOm3SYvczpOmyALqlA+36MoSuI4IgojCGBWzHEchyzLUExlrZhYhl0u82VO6V4WAvnDoIeu6BiqgaZoqMoiZwWBeXNGnqR0611KqrpYWjZi3od+hHKlSVZmWHo1hiYQSCS6opHlBXmZ4xouSR6TlznzdEZXO+DOZJ2UAHSc9oo8LKEqCufcc6R5hqkbTBdJ7123S28yBNNAXrxY/a3WQZYgyenNKtepttuiNzkiK4Zm0K7V6Y8n69bJmsFkvt7lcC2LuuNzdzhgthgJy/KcQb9P3WrQ6XSQ3/se8o//GDEaIYCwUJHtNvI736HV8ECB0WxCljvMw9PFmG1ajKabCUDT9+kPNpfOjVqNflzCf/D/Qrz3HuL2bVBV5OXLeL/0TabBdj1BECQIUYmeDV1F1RRUVUEoYBnGQiNQDemtkr0X3S7DhBrq0QCfrH4DgsVilVHQPGciEIsRuWo1GCkWHUpotBzyvCBJcrJk/RoTx5t/O3me0+/3OOg2aHd8BALx+usor75aVcOahpAlnd4dsj/+Y+79yg8YlhLTNLEXtsmqqmLbxt7RpWSLZmgJz7MYDHZ3E/ZlmriuuZewnHQxi8KE6Ng41PmLDQoEaVEynccsL2Hiww+r/1AVUrkoZIUAKRHvvw/HCIvjGFutrQHyIqffG6NrOs1WcytZ2Ud67icrZt8oH0AQJ4RButJfqZrK+a7PlUsPX9bZLsRxzM9+9jPq9TovvPDCFxZa+SDDtm0uX77M5cuXKYqCP/mTP0FVVd555x3iOKbZbK7Gx+63JpnP5486LI/w8GO52jEcDjFN80tNVqDqJG0KIzyJIAi4evUqjuPw4osvnvlo3McV10sp+Y33foPfeO83dj4vzmMM1eDW/BaaotGwGqhCJcxCguyocPVMj6zImCabC0cpJZNkQtfpcmd2B0WoNKwGhmKQFCmzbEa56MAst3VSE3McumJgaTZ353fW/m6oBq5eQ1NUAiWgHwxIrZSW2apm+4dDpATTMrEtm47foZTlWtjlcVROaE16QWUukJXZahwOFo5eVptbcR+hpUjWCzBfEyRpQDy7e2rbju4iS7nmvLZE1zlYkYnjaDtt+rMRiiLwLA9T1UmLDA2d2+O7J557REJ0Tafh+AhgMBmvjZ3Yhr0iITXLwTJNptGc8TxYIysAvuVV3RWg7tZQNEGaZtwZHHXelinql7sXKVCr0q1Wo/yzfxZx7x6dAkLDpv30k8ySiOFi5MvUTUaTzedPzXKIgs1OXruySFaPmSbyhReQL7ywesy0HQinuI6BYWqoqkCogqIs0FWV0SRAGhmJzEhSON4QadfrG+2YoSIk0cLNaRMsU9/pWOU65jpZUEA4AtPQMQwdSzeQpaBbcykLSZqURGFKFMT0+31sx8Y0a9W+S1l1VuDYiJNCoRho0ynnS0l2cEAcx4RhyHg8RtN0LlxskaYS/Vjmy3GomrrXdWtfh6HmWmsWwJuwTwh/Px2YPC3oL6ynNV2h3qghDJVIFsSAimQqjo1/CQEnrumOvZ2wZHlOv9+n0/Jottyte23b+n10rfZnxWwbb1vCNDXCE+N+RV7Q8q0vVYG+JCuNRoMXXnhhbXHu8w6tfFigqiqqqnLp0iW63S5hGK66L++99x6maa7IS6PR2Np9CYIAb9EZ/6rgK01YvozjUWEYcu3aNTRN41vf+havvvrqF/2RPnPcz0jYUlx/6dIlnnvuuc9EXP9xRsCyIuN/fvN/5tXe7u9n2XlYdkxOdl9s3cbVXTShMY7HxMX2G62iqDTN5kofUspiTf+iCJW6Wadm1IiLhCjbvi1Hc0AIJsnpAjYtUtJiSBEXjIcTLN+iXWvj6i5G20BImMch49mQIip5b/Q+mqFiWTa2ba0RSVXR8HSPfrjZHrkKhPTphwNErXZU6Cy20SgNwmxM2jh9Ya8ZNbI8Xxu5W2ITWbF1C9/0kKWg4fjM4hmTaLJ4fpfedP35vuUzCULatTpSwDicMImnKIW+RlaEUNClgWUrIGAUTJinwSpE8jgajs9gPKHt18llziSoCvaW0ySQ1X5EUcRwOKLRaGBabqUvWkDRNJovPE8hBcF0SjAbr39mp0Zvg4ZHURTG083alZptM5ltfsy1LSaL1ymKwHUtDFNDUSs3vCSNEGZGkKcEJ9YcOo0m6ZYcKUVRtr4nVO5g4x2ZIJ7rEEfbh6kc2zrV3ahyilLiJEVvqQxG6wQ7KRLG0ZBzj7e5dOkCeVpSFpAOpqRJSH6s8FCQTIQJZIjpFP3Spaoz6XmUZUkcx2RpRr8/XphaVJbJpmWtDBMadftTd09sW99JWISA2R7jgfvpwBzvauRZyaBXHXtRa+GFIU2jJNItxorBkmLKSxfXtlFu6SxnWUa/38fzaximy44GNK5rEu2wgK62t7tbr+nqXjvjWs3c2P167ukvz+JhFEX87Gc/o9Vq8fWvf33vPe+zDq18mHA8h8VxHBzH4bHHHqMoCkajEYPBgLfeeos0TVfdl2azuTYCFobho5GwR3h4sSzKL1y4wPPPP08YhmcSqPigY99I2I0bN3jrrbc+c3H9/ZKVaTLln7z8T7g+vg4swh0NH6hE78vugWd6pEW6tfMAEGURNaPG3bBa2fdNH0M1yMucaTI9Go9RDWzNZrDDArmURdXJmd2m8nMV1AwPW7MopSTKQ8IspG41CNOIrNymfYEiLBhNRvhND9O0KMqi6vwcqwEvdS8zjsc0ZYsizYmjmGgQoWoqumVgWSa2bq+RquPQVQNbsVYiedluQ6eD6PVA12mVJpN0RN6oIw/Wha6+6ROlySn9jhCCc+55kiyhW6tcs9IiJcyqkMjD6Wmb5ZNkRREqTcdHSI1QiRmEFekQCBzFZXysUNY1jQO3yyicMg2PCsOm3ThFVhRFxTZsEjtnMD96rOH6DBddkfk8YDKZ0Go1efzgMr1hdWxqjo1tmVWWCzCcnCaaqqIyPq5DKUvE9RuI27fooNBrduHJJ0FfF+jbpnVKJ6EoCl7NwnMdbDslzhKCeOFitzjkTd9jOt9OOoJwe1HY8GoMR9u7f5qy+9aWb+m8LJFu0dQsUZ54eUUShzTqdRTdIC9yegtXN5QCzQM7DbF1DVUKjKJkmumElJQnRkAURcF1XVRV4cJFhzRNVpbJ+bDKQ7Iti3pjs8PeEp5n781O2ZfU7nn21mDNJfYJ1G3b2GibDCCfeILgjXPU+rcYJAWKCGgpJZprMf3+9zh+dmzSlaRpSn/Qp1ar8dilc3uDK/e5xinq/jDIes1isMV4Yoltna3nvvZwC+6XiKKIn/70p3Q6nU/krrlJuL8kL1+F7ss2W2NVVel0OtUIr5Sr7kuv1+O/+C/+C37rt36LP/Nn/gw//vGPz2wk7B/9o3/Ef/6f/+fcvXuXb3/72/zX//V/za/8yq9sff6v//qv83f/7t/lww8/5JlnnuEf/IN/wF/6S3/pU3+O+8FXnrAIIXZqAh4GSCm5ceMGb7/9Ns8//zyPPfYYcOQSVuVPfPm6SUtscwk7Lq7//ve/v7IfPEt8XHH9rdktfnLtJ2suVctwRwAE1M06ruESpuHG1f8lBIKO01lz1Do+DqYuRr4szSIvip1kBSoL5F54XNAumacz5sfGws6558nLnIblk5cF83S+Np4lS0kxLxgGI5qdJrq22eXnYKFHAcjJQQdN13BrNZIkJs8yDg+nZDKj7vj4tTqu46Kp1SVLEwoCjaxIadktSlkgJZTf+j7i5k3c233iMsN+/HHk5csojosiFBQhUEUVAGmqFiApypKizEnyFN/0uTs9rVlp2k3GwXQrWTF1k5rlIqUkSEPiNCM40X3qOJ1Ky0JFMjRVRZaSW6P199NUdS0cz7FsXMtCQeHO8LTrW5FV9HI6mRAEAZ1uB9uyCKKYTrNBVmZMghnzhZZp2wpyy6vTGyw+c1mi/NEfIT76CKQkywXKhzeRH31E+au/WglEqLom42mA45jYtoFQJEmWMo9CJnFKklcdiU1QxXYdgF9zdxbKyp7f2TzY/lpNU3fmkui6utWeGap9nh17PAgqg4lWs4m9IB/x8XBDVaV85hmiX7xGVEhQFbpKwUwtEV0X99uPY9o2ilTJ0oJgluA4JpNJtMh8MTENk7pfJ8/zVebLu+98SFkedV8M01wrky1b30lYFEXsdRizTJ0p24+lEJW18y64rrW9q6FqFH/hLzB/+3V4413KImdw6RLlL/0SlDqOANd3UA2N3nCdoCZJwmAwwPN9vFpta0jjcezrjPg1e29mzf0UzsEGO2PXNbl4vrH3tQ86lrll3W73TKYVNo2Ofdm7L/eTwyKEwHVdXNfl8ccf54knnuD73/8+v/mbv8nf+Bt/g8FgwN/7e3+Pd955hx//+Meruu/j4F/+y3/J3/pbf4t//I//MT/84Q/5L//L/5K/+Bf/Im+99RYHB6fJ9e///u/zn/1n/xl//+//ff7yX/7L/Nqv/Rr/6X/6n3L16lW++c1vfuz3/7gQ8mGv1j8l0jR9qAlLWZa8/vrrHB4e8t3vfnetKE/TlH/7b/8tf/7P//kvVfrsSdy8eZM7d+7wgx/8YPW34+L6733ve5+JuH7ZWQFW9o278PPDn/Pf/fy/20lCAA6cAw6jQ5Cgqzp1ow4CZsmMpKheq6kanuFttOc9juNOYJqi45kemlCJi4R5MkMiK3cus84wOq3XOI6uc0AvrKyNj8PWbGzdQZSS3r0B02yK1/RQN+QoCARtp0M/3G5b7Jt1ojSqRsvStOq8xBFFUVTzvbU2umFURGfj5+zSmw9Ofc7qeDSZxbM1t7QlDtwDDmenSV3DajAL5xTHrYsVjZbTQpYQZzGz0SHi7l1EktKoHTBs+WAedSI6TpsgivFsl3kSEKYRhmZArpDm68Vcx2nTn4xpeT5SSEbBFNuwSKP81Gp2x2vRG44ZjcYkSUKn26Hl+/iOx+FweEr/0qz5jMabO3aO5hIuxsfEzZsov//7YJrUNZ1JoVQ2xGFI+a1vUfvBL2OaOqah0xuNN45uNb3t76VqCuSCYssKf7fZPCJPJ6AIgSLUrV0S33OZ7ggo7Dgmgz9+uXKPA+Tly8hnnlnpS9otn8EWAwGAZsNbWTvPZjNmsyntVhvTqjoelqkTnwwmLAqUP/wjxIcfQFFQE5J5vUnxq78KGxZSzndb5EmJQCVNCubTZO1Y1WoW01lEksTEUUVgpJSYloW9GB1rd3zGO0I1Gw1n59gcQN13dlpD+77DdMfjAO22t3N0zTBU0qzYGNK5RLfrMRjO8RsuuqXRH824efsejUZ9FTzruMYp3chxeDVrb/ek2/Ho9bd37qAiHrvMELaZA3z3lx7j//f//VM7t/2gIwgCfvazn3H+/HmeeeaZz3whdFNo5bJee5i7L//u3/07fvjDH37iuqQoCg4ODvhrf+2v8dOf/pTf//3f54UXXuDHP/4xf+kv/SV+9KMf3Vcezg9/+EN+8IMf8A//4T8EquP92GOP8df/+l/nb//tv33q+X/1r/5VgiDg//g//o/V31588UW+853v8I//8T/+RPvycfCV77A8zEiShGvXrlGWJS+99BK2ba89viQpZ5Gq+iDj5EjY8dyZB0FcD/Dvr/97fuej39m5qlyJy1tr2SlZkS3yTyrUjBqe4VFSnuiGnEbH7jCIhshFoZ2XGaNj+hdN0Wku7IPDLEIRyuZsk2UnZ8v7RXnENJySzwpCQlrtJqZu4mguuqIhkWRFTpzFuIa7k6y0rBaTeEIhS4QQmKaJaZrUqZNlGXqhM5qOCJMIXa8sk6vMCx0hFmRvQ+gjQMtuMQ4nG/dxG1mpm3VmUYCpm9i6gyIgzhJ01aC3HA/r91FeeQURhnRTjZ76PorvU373uxjNFg27QZpmVbjlMU2Bq7mM4vXCuOU0UATYwZTR+28BAg662OevEJXrz9UUlckspN8foAh44dmnKSgI45BknJ8iKwByyyRU22swODZiJe7dg1KCpqNLgSskriHI04JZ7yaz5FlmCdQdb7vOZIfgu1HztpICIcTODkfd8xiNtxeVhqbDtq5AlqL8q/8T5e4ROReHh/DRDYr/8D8CXd+7gKUpKlLKqqMVhnQ63bUQuFrNPk1YVJXyT/0IfumbuMGMqaJVY4pbCr55EK1pS4QJnu1gGSayEOiaxnweY1s2tmUjgSxNieOY2XzOeDJmNB5iGhaWba1+H2v7scfpStOUnd8DgGWqO22Vgb3GAL5n09+jxcnygrKQjAdzoihkOBxx8dI5Di60ySUkWb6TrABYlr6XsNyPmH6fc9s2wvLs187tfN2Djvl8zs9+9jMuXrz4uUUkfJzQyoel+7IkYZ+mJivLkizL+Jt/82/y+OOPMxqN+K3f+i1+4zd+g7/6V/8qURTxG7/xG/zoRz/auo00TfnZz37G3/k7f2f1N0VR+HN/7s/xB3/wBxtf8wd/8Af8rb/1t9b+9hf/4l/kX/2rf/WJ9+Xj4CtPWB7WkbDJZMK1a9doNpt885vf3HjyL3+4X3Ydy/GRsH6/z8svv8xjjz3Gs88++4WL60tZ8i9f/5f8/s3fX/3N0R1cwyUvcibphLIs0VUdV3fp7xnbUoTCIB6Q5imKUFYp90mRrI2DdZ3dSfEAlmYyS+fECwvhpejeUE0KmTNPA0pZ4Bn+orOyGWmSkk5SCrOk5bcQYim8P7ppG2rlKDZP56uMFSEEpSxJi4wkj6mbdfrBaY3IEue8c0yiKc1OC78oF6MxEbNZlXdxqX6RG+FNTNM49b20nRbDYLIib8exIisSTN3C1s2V9XMYx5UFcBoRptVx8k2PaVh1pygKlNdfR0QxXf8chzLHkgJ/MCF75wOmP2gxj0LCZL1o69a69MYVeRQIGq6PqikE85D4Zz9FuX4dJasIR0sx6T/dg+eeW9uGZ3rcvHWLpu+iuyajhTbmwGtzuNCuHEfd8RhvsSXO8vXjYioKPjmaVjApBJFYRASqYvX9uJZ1yl55CU1TGe8QxZf5dt1D3avt7Ayoyu7f3C7ti/r++0zu9quRtmVhUxbQ6yPefx/x/HN7OwazecR4NCJOErrd7qmVzLLYcT/xfewnLxPs6OBY5mkhvJQwC0NmC7vpRt3F8EtqtoMqNJK4YD5TMAwD3/fx6xZ37gwr7ctsirIItFxlIiniNKk69VGdnTk2cH+2yrMtOTor7LlEK6pYdcyW+U5VxopG787C9KJbw3RNVF0jSNKNI2jbHOOWuC8xvbs/ZHObTuZhJixLsnLp0iW+9rWvfWEj5ttCK4+PkC2f96CGVi7rsU9DWObz6hxcuoQ1m03+yl/5K/yVv/JXKMuSa9eu8eyzz+7cRr/fpygKzp1bPy/PnTvHm2++ufE1d+/e3fj8u3dPO3B+FvjKE5aHEbdv3+a1117j6aef5sqVK1svHkKIlY7ly4ylS9j169d5++23eeGFF1bhVWeJjyuuD7OQf/rKP+Xtwdun/h5mVeGhCpVz7rlqVTndvVbZttuM4zHFYpm8lOWaIH05PmZq1lonZROaVpNZOic/pj8pZbHm+mVqFnWjgUDQdbrERUKQztc6FGmYEk5DdM+g7m4WANqajUBZEap0Q1Bl1+kyDIdYuoWpmmiKikABJKWUGIpOnKc4pUJeluS6hakZ1NxKN+IIl1vD28RRRCkllmXhWDaO49J2WkT/f/b+NFbSMz3vw3/Pu6+11+md3c2dnCGHGlKjoeK/pEkQG7ESb7Ac2AjsGAigD1GQDQiQwAgCBEEMBDECGAg8Y0RSYskYB1bkKF4mkkczkS3Dlof7vjSbZC+nz6l9fff3+X94q+pUnVNLk2ySTbIvoAfDU1XvWst9Pfd9XVcU4hkuqqLOsluK3A1N6IRJgGs4hGlINPvnGS79eESSrRY+ju4QxgnpfKSs10OMRzSdKkiFstAYknLom9DepxILusdtli2P9qCHa9rYlsU4nNAL+jScOuHV91Deu4o0DHBcVAnBKEZ5+23yeh3ZaGAZJrZh8N7774Gi4DjuguJpirYxK0Vh/Q+k73iMRlPKJQ/DUAmTiPG5GvEHCntxTKAVehWyHHKJnH22HMvemGlR9UobR7pMQ6e3wXFsfg6boAix0a0MCvevbZa01f0b9BBHZAVAUYEYceMG5W89vXGMDcB1LD744GYxktFsoh7r3iqK2El4No3BzeG5NmG4uYOkKkXnI88l3eToO0MxBWXXxdQMdF1nOvVxvcK2O4ojgiCg1+uR5zkl32UyKTqUmwonZQcxLDow27snlmXsJCy7gi1Lvk2/P2U8HjEYDmnU65jmquFAnrMIbARwfRPHs0mkZDAuFh12WRXfnph+N9aRnlrVZa/xxbSgHY1GPPfcc1y4cIEHHnjg8z6cBXbZJt+toZXz4/okhGUymVngrxHdK4rC008//bG3fTfjHmH5AkFKydtvv821a9d46qmnaDabO1/zUUIVv8gIgoArV67cNeL6w8kh333huxxOToqkl+GbPt2wuyiM5zbFucwZRsNFmOSyrmUTBIIkT2gPi26IpVl4hocEgiWS1HCadILO2m7DHJ7hk+YpnWO6FkUolIzCiazb6xGPE5yqg2Eaa7fjGyWiJCLeYrfctJuLjJV5ivzK406T/cOriPffL5LiJciSj7x0CVGt0rAadKZd6rUqUCOKI8IwYDgZko5TDuUhlmVj2Rb6UoG55+6xP1yXzeKQJPkJsmJoRfZGnMXFtbUcGAaIRKFrS1IxK94FoAj2Qp1b4z4s/agYqo6ju2ArDMMxk9k9qdhl2sMeys2bxXK6VZCEem5w6Kio/R61Tpf0gfs56B7SPohQZwGdy+/FilOm3eufOKeS7dIbrhJiw9DxXQdD1QmTsLBonl/6s2fhwgVG790AuWSq0GwiH7gfRYittsLbRmtK7nrrZCgsngdbCEml5G91B7NMc2thqootBYuioG0pIvI8p9/rIvOcZrO5tvgpl5yFvmUdNFXZqgmBYhJvG0olZy2pyqVkMFt5dWyLTIvwyw6WbpImLqNhSJLkpEmCbSvc3O/Q7/XRDX0h3Nd1YzE6tmv0qVxy6OzowOyyCN6lB4HCBGE0GjIajWg0Gpgzw4dlHA+unIwiJjOipOoKp8+UiVLJOEhmYaMncTvF7HjHsW7SyXxRuyvD4ZDnn3+eixcvcvny5c/7cLZiW/flbhodm1saf5Iu1XQ6xbbtT0R6Go0GqqpycLBq+nJwcLAxu+/06dMf6fl3Gl95wvJFcc9KkoSXXnqJIAh49tlnb9t/e5OD1pcFcRzzzjvvkOc5f+yP/bETOp5PiuPi+tv5onmn+w5//82/TyYzdEVfcdFaRsNpzIjDUYWyXLALIahYFVzdLexgtxQynuGR5TmD8GhVO0xDwvTox9NSLWp2jThPcDR7JXRyGRWrxjgeLcjSMnJZ7CMaxUzCMaVaGUPXcQ0XUzVRhEKaZ4RpgKXajKLhUTfiGBQhqFi1reNmTadJq7+PeO01RL8Htg2Kgmi3UccTSs/8HO2sIFVy9r+6rqPrOpdP3c9Bv4UIVcIgYDgcoGkalmVzvnqOg1HrhP2opVvIjBVjBEUouKaLp3skaQwUQZPhOMBwLXTLJptOjoiJlNRGEYeVCrhu0flyCwKoSZ1bg9VRPU2oRwV+HMNsZduXCqmU7CkKfRXa0Yhpa7/Yr+FQ8la/AwxNpz9cX8xrigEEhb2xbRKnEYPphGkC3UFyMrtCKFT+rT9Od++NIpk+z5CnTiPvu6+wjC6Vafc2BEzaNsPx5qI83JLZUS15dHubi+Bd7mDTNe5MR5AMzt0HH9wsDATmP/ZZBgjkuXOMNriLZXlOu92i7Hk0Gg3EhmJnndHEMkoldyvhEkIw3ELYoOhsbINjm0xnY3Gj8YTRzBxYqIJSycHS3ZnORyeKU8IwIAxDxuMxAoFlW1QqPtOJRGzpsuzswKjKTktkxzG2EhaJZH//kNF4PBu/O7kw4nnm1i5NluTEYUr7sLjuftnGck3iLGcwDhffq9NgOxlxHXOt+9cyNulkHvkCEpbBYMDzzz/P5cuXuXTp0ud9OB8Jd3No5XIGy8fFeDzGcZxPVL8ahsHTTz/ND3/4Q/7Mn/kzQHGdfvjDH/Irv/Ira1/z7LPP8sMf/pD/7D/7zxZ/+73f+z2effbZj30cHwVfecLyRcBxEfntuD/Mcbsp8F9EzK/LfKzh0yAry+L623EC+5c3/iXff/37Ry5UM5tiUzUJ03Ax9tV0d2tMNFF8PG+MbgCFDsQ3fQSCcTImnAU7LjuBbYKiqLiGx83xzcXfDNXAM3xUoRBlMeN4RM2qFyRqAzvKspx4EDHNplQaVVRVQSIZx2PGHBWaDbvBIBzi6A6GaiwE/XEWE6QhEomneXQ3BEIioeEWls2i3UL0+1CpLEZ5NMPCa43offAWPHRyVrfpNGmN2qiqgue6eK5LLiVRGGLnNm9dewegEO3PXJUszcQSNmjMLIpnGSzxFE1o7A9WuzEKCrZdYvjg/ShvvFEco6ZhRSmp5tJ48pvEXolBMKI97lB3arRHJ13dqk51YXcsGw28W4c4UpBJQUdJizwUAaFl0e31uHzmEvEaEli2Sic6FwKolUsIwHb14j4t5fp4hkswWX3NHFkukPfdV5CUY9imB7ANizHrCzvftRlt6TAobP4h3xZeCeDaNpMtNr7lksfgvksoVz9A7O9DMv+8COTZs3hPfo3RmhG3dJai7roOluVtFMrDejvb1XPY/v1R8h0GO2x1d+3Ddcy1xE1KuSAwhqGTaSm1iouplYijjMEgIAwigjAgDMd0uxNM01x0X46bl+zsNpRser3t55Ju0TJJJNPJiOFoUpCVDRbptm3sHCuLlvQ6o0HAaKaJ0U2VUsVF1VX6O/Qrtq3vvPabnOse/oLlr/T7fV544QXuv/9+Ll68+HkfzifG3RRaeSdMkMbj8R0Jjfwv/ov/gr/yV/4KzzzzDN/61rf4X/6X/4XJZMJf/at/FYC//Jf/MufOneN//B//RwD+0//0P+Xnf/7n+Z//5/+ZX/zFX+T73/8+P/nJT/je9773iY/ldnCPsNzlODw85OWXX+a+++77WDaCX9YOS6vV4qWXXuK+++7jzJkzG10tPi4+ql5FSsnvvPM7/NOr//TYA6zoQmzdpmpWibIITdVI1zg5ATiGA5IVjUqcxXSmRyNaju5QsarEabS1+6KrBo5m0wlWOxlxFq9YGe+5p4nSkLrTQMqcSTJZ6dAkSUI6SAlEUIheNxRfe3aTw9mI1/GxKgBTM7EUmzRPqdlVVKEuBPjzTBRbd2jPtsE0AOSCrBhSwUKnbwnEcHji1Odk5Tg0ReNM8yLTOOJr9TpJHBNMp4wnE4bDAZFh0VUH2PbqXH/drq8ENc5Rs2u0xz24eBFpO5T2D7DGU9JzVdpn96BswUwIb2omw8nJ4q1sl2gNeliGie+4RI8+ynj/Gla7R9c0EVJCkhKVfHqex8P3PcBkTa6JqZuL8EhVVan4LkLAIBghhKA9OEkMNVWjN1q/2u/ZNv3RBvtja3OyvQAGW7orlmExYn1hqKnKkf6m2y3MDA4OQNfJL1+m8jPforulqHTXpNMvw9A00DTyX/iFYrzw5g3mZEVeuoTp2CcIS5wkdNptHMfh8n0XaHc3d0c81zoxmnQc21LlAYwdi1FF92R70ZxtE/0zC5ScaU8GozHMFhpUS+F0o4Qqamiqhq53CIKAIAgY9AdourYgL5WKT7Aj3X6XC5kQLI7jOKSU9Po9LEvQbDYX+UvrsEsTpOnqxjHBJMroHAxpNDySQUCp4mA6JmGcMjr2Xtp1XRVFMFyznzOnypT8O7uY9mliTlYefPDBj5Xtcbfj8w6tvBOEZTKZ4HneJ54Q+vf//X+fVqvFf/vf/rfcunWLp556ih/84AcLYf2HH364cu4/+7M/y9/9u3+Xv/bX/hr/zX/z3/DQQw/xD/7BP/hMMljgHmG5a0fCpJS89957vPfee3z961/nzJkzH2s7XzbRvZSSDz74gHfeeYevfe1rnD17liAIFl82d+J+flSyEqUR/8cr/wcvH7689XmmZqIp2qLLIYQ46r5k4UKUXjbLTNPp2mJ/Ga7ucnN4Y/ZfAt8sYWkWWZ4yiIZkeYqrF4LswbEQw2UIIahbDQ4nJwMTLdXC0R3iKKHT74AFVa+2dpFZIKjbjQVZWX/MDnm+fDyrha8mVHyjxMG4OBZVqOimg56rqLmOgYYAMqAeCdirkTs1oOBslmoRxCEVp0Iuc9I8JZf5ImDyYHjs2AzwLI86DQ56LcIgYDDoo+k6tmVxvnqe9rh3QmzbdJsEYUjTr5HJjJGu0T/doOk2aQ+PkQMJturQP2ZhbGkmjm4hXckwHBMOA1BA+9l/g/Fb7yNvXAehMDldYXTqNM0zZ2GDLXbVLpEN9slfe5nh4S16lom8eBH70cfpDNff+6pbprXGTaw4ts1dEteyNxbNVb9Ed6NoXa4ELh5HxfcLQtDtov3+76OEIYqqIKIQXn4Ro9dB/86/BRRdPZkfFRwA0x0F9IJMqCrygQeQxwTEK2GPLAcT+vieT77DTdK2zK2ExfdsRuPtI1LTLQ5nMOuebBldUgS3YUVsrCUKWZbTGwxnZi0KTkXh9Nk9kArDQUi/PyIMQzqdDmk6IYpYEJh1Bd2u+1Eqre8mSSnpdrukacL991+m39sVXLnDNtmz6O4Q0xf7hWFvCrOukGXreBWXHMlwEu0kmyV/fejkIw9+ccbBut0uL774Ig8//DDnz5//vA/nU8fnYZt8JwjLdDq9Y9lyv/Irv7JxBOzHP/7xib/90i/9Er/0S790R/b9UfGVJyx3I7Is45VXXqHf7/Otb32Lcrn8sbf1ZSIsyyGZP/3TP02lUgGOvnTuBGH5qOL6ftjn11/+dYbxkIpVYRAN1tpkl4wScR4zio5WaKWUK0RCV3X23D3iLCbcIlJXFJWqWT02UiYZRUNGM9IjhMJp7zRSQpIXFsPpGi2Npuh4hreS9bKMMAvpDrvk4xzhKcVYjGbhaA6qopLLnDAJCdOIslU+6oqsQcnwCdN4rUsYgK7o2JpNLzzqZmQyI6uViT0Te9Al8ypMlCLAECND7vnI2VjZntvk5mB/7bbnifTHoSiCklGmN+3j+x6+X2iBojDEyi3eeP9tFCFwbIdGuU7ZL2OoBu1RlziNV8ar6m6d1nGyAjS9Bq1BcU6OYeHaDlEaYakW+/2TpgyV5nnaukv++GN02h0kUG/UOVVq0h70F8/zbAfHMpASDt99A/Ev/gWEIWg6Ipgiej38Ycj0ySdP7EMIhdGajg8UK+O9DVqYQmy/WWMil6idoghMU8fQNTS1sNxNkwxPmCCLe5vn865ajjByNCdH/tGLSMZkVZv5N5eSpvQOPiTdv7pwKZtPjwlRjIPF8RS7rKCq6swNTqAIBSEUNEUjiTMcTydNc5I4I45S0tnqvGObjJfIRBAEdHtdKpUqruOgqAqDwfaiN463j95alrGVsNjWbo1EuuO7vFRyt1pCA8TJ9uMsiMQEyGjH/cXf9856WGaDLIE4Srh5s81oNKLX7WGYxoy82GiaVoxP7RjTMoyTRZuUOZ1OhyzPaTSbhMGOYy3bDPrbCYu6Q/MDcq3bWRgkhLMRy3LZRtFVNM9iHK63Tdb19UXoF0VwPycrjzzyyKfisvlFwCbh/nIXZv68j2ubfKdGwtY5hH3ZcY+w3GUIgoAXXngBVVV59tlnMc2TjigfBV8WwhLHMS+++CJJkpwIyVwOyPy4qx8fR1z/4eBDvvfi91aE7pqiUbJKKEJZJNPX7Tr9qL82XX0ZFavCjUXHpBDSW5pVrOBHhQheV3Uc1aGzI6+lbtc4nLTIF0mBAt/wsTSLXErGSSGw1YS2Mna2ek1gMpyQhxlm2cScOVcdF/Prio5v+CRZQt2poQqVLM+IsphpOiXPcypWhXE4Jt2QXGiqFrqirWTJLODYWI8/Ba+/wWTUnbloWcjLl5GNBlCQlXXBj1C4orVGJ8kKQNWq0RmvkgxDNzjjnwIpaDb3GI6HtIcdPjy8hnl4gKJp6LMCTZ2931zDZTA+WeT7hkeaZjTLNabxlEk0ZTqa4lv+QreyDM906Qz6pFlGp91G0zRqtRqaqjOeTil7HoauMY6mjKMR4xgaXh3eeLMgK35p4b1qhTHdK1fgwoUTaeo1r0xng2i+6pZpdfprH1sW26uKwLZMTFNHUQSKqpAkKX7FIExikiQmyGKC2S1vaFXaG7o9uqbR7hdkX711cCSInx+TqtEhg3YbjhVTUoJtmow3COYBmtUq7eGxc9JBszVMQ6fi2TiRjoKg3x/QH445fXoPVSlGtColb2smiaFrW13TYDehcV1r65jV7Vgm7wyD1LWd2zD09WXBeBowngYIUQRXXnygia7qjIchrdagyHwZDlFVlTNnaoSRLDJfNnyPHs9wyWVOp118hpvNJr5nMdkRBmkYu0uYXSTQ86ydGhjT0DhsHX2+Pd/C9i2SXDIYBYXebc39VRTBQ5fvfv1Kp9PhpZde4tFHH+Xs2bOf9+HcFdjVfVm2TZ4Tl9upP+7USNid0LB80fCVJyx300jYfIXj1KlTPPbYY3dkbvLLQFjmoVWlUolvfvObJ8SfyysiHwebvoC24cWDF/k7r/ydE92CNE/pzjNQBJzxzpDlGZ7hMQyHa8XsiqJQM2snRPjjeMw4LookRSjsuXsoKEyTAIHYKIxvOs2Z89by45JRPCrcxmAm3lfQFQ1bbxKlIaN4vNimzCXj4Zg8kTg1B31DEWNrNgrqRtKDgFPeHlGaUHEqKAhyKUnzlCRLiNIIQzWRs/NdB8/wSOo20U9/EwZ9RC6RJR9mWQzNrWSlQXt8kqyoqsqe0yRKYppeHYRYHI+maHSn/aPVbAHlcpl6tQ6poDvsMRmP6fd6GIaBYzuYrr1wQzM0A992ERT2vr1jQngFgUxZ24nThEEcj2i321i2TbNep+L5mJrJ4aDLIAhWQtxdw6HTbqN0O0UY4tLb1tdsWsEQ0ekgjxGWzcWzPFH4m4aBbRtomoqmqpQrNlESE8YR4yRhPFtsblZqdDcQEk1V6Q02F/xl16Pdm71W1yBdXcEWi6CZ9e/DcI2uZxmTYH3HMk1T0jRFVVQGownj8YjRaES9Xkc1QVNzbNPEdhQahovMII4ygklEuqRp8D2bzhZ9i66rOwlNvkOLUS65WzNi4ORY24lt+NuPE3anvZfLDv3+hDg5el79jIvv7JElktbhgDyX9LrdIhPJtLBsa0bwi0Kt0JUcvc+yvCDoiqJQr9cRQsFxzJ2EJdoRfmnbOtMd27gd0X58zJ55PAoZz/QqmqFSrXugCAxDJY6PnnvxQh3Lun2TnM8DrVaLV155hccee+xjj55/FXCnQivzPL9jGpavGr7yhOVuwYcffshbb73FI488wn1rXHk+Lr7ohGUurr948SIPPvjgWiIx/9vHOc/lL53bbe/+v+/9v/yjd//R2oJz+Zjqdp398dGIkq4WnQhFKIzi0axYN7A1e+NI1hwls0Qv7C10LZqqUTJLqEIlTEJG8ajQkDgNWtPt7mNVuzazG14tWlWhFq5haNy6dYCGhlEzUdX118Q3fOI0IUg3F2JNu8nBuMUmVwDP8MkziRBQtsqoogh1FEIp4kxQkUgyNcM1HKRfL8aOZEGtXN1hGgdUnDJCHt2/ORnLspymV58J+jOSLCXKIqpWlf3hGs2OZpEk2YnRGzE7317Sp+T7lHyfLMsIwxBbWrQODzB0E9VUidSQKAvZc5uMwpPXpu7VFyn3K393a9w4PGQ6HHHhzFm8kstgOmIcT+iNhmRrCLmtW0yUaWFIsOQGaEjozHN2jhX5FbdEf814k6YpNPwKaS7xPJM4S5hGIVE6JQqmuJbDpL95VHG6gRQAVLzSESFZg2XXsfzyZZRXXy2CKlUFTUIvigvtyYWTc/WObW0cb4PCQGCb/sAwdIbjCYNBnyAIVtLr0yxjNJ0SJwnRMskzwDYMLNNCFSqGquH7heg/XxOkUvKdrURBUcTOfJZddsaWqe8U/e9aiCmuxfYRK30NaYyimGhGGnUXKmWfvdM1RsOQw8P+guDrRtGZPHu2zmiUIhBkWUa73ULTdGq12uIYNzluzaHp6lqR+zJcz1w7vrWMXWN2mrbdnjmNM7IopdudAJJS1V0I9x+9y/UrrVaLl19+ma9//esnEszvYTM+SWjlnbA1nk6n9zos9/DZI89z3njjDQ4ODnj66aep1Wp3dPtf1ODIdeL6TShEoh/dDe2jiuvTPOX7r3+ftztv03AaTOLJIoxxGZqq4eke7WNjW0mWHHVfKKx/VUUlyqKF7e861J063aC7QpBWOjmAbdiUjDJZnuLp3oq2YhnbQiMzmdEedwj7IVKT+GUfQzNwDRdd0ZEyJ0wjJsmEsllmHE82upwBNGe2xJtQMsoESbDRXKBkbn+86TS5OVyvWanbdW4ND9d2oZobRsRUoaKhMz6RTyNpxhqt915CKCrmmbO4lQZCCAzVYL93iG+rhFHEOBgThCG+5tFvDbFsC9M0Fz9QnunSOTaapCgqZccjmEwZj/s4ZZdUy+hPi9GrQmN00qXMs9xixEpVyc+fR3nnHdAN0FTKuUJrMilG546HeslC5+G7NrquIskJkohJOCWSMb3R+lExx7Q22gaXXW9rByHd0j2wTJPB+Oi18vHHka024vAAYqhmGS3dJP+pn4LSST2fa1tbxeqOZW0lLL5j886tD4jjuHCkOlaQlzx3rZA9iGOCOEYRoAiVNMsQlsC3bUzDQEiFKMyYjiJ2ZaSXSx69LfkzsNthzPNswh0dh13b8H2bTmf9/Z9jVwfG82x6/SNyVj/tUnb3SFNJ62DAcDjh4NYthsMY0zSIogjTNKlWj8iKotxGMr1v0elu71ptmEBdQFFgONhO0Hzf2mnPfFSAihXh/iN38TjY4eEhr7zyyj2ycgfwUUIr0zS9a2yNv2j4yhOWz3MkLIoiXnzxRdI0PaHLuFPQNI0o2t7uvtswF9e3Wq0Vcf02KIrykQjLRyUrk3jC337xb3Old2Xl767h4mgOSZ4wiAbYuo1AbB6RmmEu0J+HSqqKStWqogmNIA0W41F7zh6H05PC7GVYmoWKxsH4KCdkNWMlYhgOabp7tLZsK4oikkEClsD3fYSAJE9OnEvDbhKnMRWrgkCQ5glBsqpraTrbc2YqVrXQtMy7PNMpotMtAgpLJcqnLjGJp2vDKxfbH6/vStXsGt3JYC1ZqduNtWRFICgZJXrT1S6Aqeo0XnuX/K23aSYxEyUndF+n+9jjuA88Qm9U7EcoCrZtY9s2e4pGGub0RwOGwyFpmi7yLBzFIc9zXMvGNi2yPCu6KMMxH9y6Tq1Ww7Ksxf5LlrcitF+GoZgwswiWjz2G7PcR7TZGDr1MAcskf+opFNvGdRwsQy/C/CZTMjWiH0YsOwx7pkNvuL5YLTJQNhTUaYr54suob70FaYo8fZr80UehVALANq3NrwV821mIm4HCxvjf/A7ixg1ot0ltl+zUaShX1r5+1xhUsGVcTErJ/v4tkiSh2WyuLSTMHVbDZd9bjLtJKRlNp4ymRwWuYimkakDjtIOQCmGYMRmFK50YbUMXcw7H3u4OBqzt7CzjdlzKTiaIruJ2OjD2MReyJElo9/tA0X25fGoPx7Q5POxz/doBEgiCkFx2sBe2ySX6/e0kYVuo5exkdh5rqeTs3M8uXRCsD500TY1Ll5o7X/t54ODggFdffZUnnniCvb27l1R9EbHcfZnXJMujY3OykSTJx7ZNnkwmd3xx+4uArzxh+bwwHA55/vnnqVQqPPPMM5+YcW/CF63DEscxL7zwAlmW8eyzz64Ub9twu+c5F9d/FCewW+NbfPeF757omEBBZCZxscpXtYpMEUQxk71cwC9jXcJ9lmf0llbRHd2hYlaI8ghDM4jT9UWXb/jEWcI4WR03Wc5YUYRC090jzZOZC1nCKB6RLZGByWQKY4nwVDx3s11iQUTaxYTXsd9oVVHxDBdXc0lkRsNpkOQpURoWIZezy1y36vSC/qKjJG7eRLz9NiIMkUBNWgzO3yJ97FFYU8htIytVu0p/OkRykrzWrCrdNXkqAsEpt0mQxDS8ekHUspRpMsX6cJ/Dt14hMw0o+YBEjMcYr76GrJ8lM09+hfpmiW7cp1wuUy6XSdOUPMkwMo1bt26RkTMwVGzLQtd14mlMr99fGUWaQ0Fj3Tidb/t0R0vkyrLI/38/h9i/SXUcERsGyv2XCV2bcTiZOchBw68xidYXcZZuMd6QkVLzyutHuvIc45//cwbX94vlaiEQ776LevMm2Xe+A+Uyvu0QHNPxLCMI1xTiioK8cAHt8mW6qYQNxfiucTDbshhtyIXJ85xer4eUhch7U9EwXXd8S9B2fHeXPOcEYVNshZJtY+oGMhWkyfbvLte9DTvjHSNlu1zKgLUp7cu4rQ7MDheyLM+4tn+LdrtNpeFz7uxZsiTn8LDPaDih3++TZVOCUBafEcNArOlQ7RLTl3xnrfvXMvQ1TmXHsStvxrLW62QeeODUxnHazxP7+/u88cYbPPnkkzSbdyeh+rJg/p2iKApSSt58802CIODhh4uw449rmzydTu9pWO7hs8H+/j6vvvoq999/P/fff/+n2uX5IgVHjkYjnn/+eUqlEk888cSJ0YxtuJ3z3GRNuA1vdd7if3vpfyNItv/w1Z06vaC3MtblGR62bpNkycLuuOE01hKfZeiKjqEaR6n04mhbWZYxiAdkeUbNqjFco0VZxty2+GRnpXANM1WTbq+LOlERZbFwAluHpr1Ha7xdHyNQuTk+OaYlhIKlmVStKnEWU3fqAOTDPrzxHlkqict1PKnTTcbI69cQZR95LLhsG1kpW2WG09HKPdCEiq7puKoLCGpuFVUUwv9M5kRZhKu53BqdPC9DM0iuXi2oz4I4C6TnU2mNOPzwKjz00Mpr6m6NzqCPqZv4loMQgmkckEtJHKV4lkIYhgRhSKvdBinxdQ+/VDrxfq+5lUUY5HFos69uBYHnOpiGXpxPyaUVJyRpCqQwPSKylmFuzGTRVI3+hhBJ2CzSFzdvUrt+k5ZpHWllpITpFOXNN8l/5mcYb9G2eI6zYid8HGXPo9PdXCDvGgfzHJtgTWFb6Cba1CtlVMPa+D3g2haTHdkooy3uZMBaw4o8zxlOJsAEz7EZhyFW2cCxbFShEE5TxqNo0fBIdhCa27EzTnYQieVAyU3Y9UulaepO4qQohXbC930c16M3e49bnkbz9FkMTSOYRoyvt2m32wghFnkvpmWhCAXHMZhOtxMJ09Jgu78AUbj9mhimtlOQ73nm2lG8Rx+5+wTsN2/e5M033+Qb3/gG9Xr98z6crwyklLz99tu0222eeeYZbNv+RKGV90T39/CpY/6mvXbtGt/4xjc+k1asqqqLD8HdjMPDQ15++eWt4vpt2DUStuynPn/+Lvzh9T/k/3nn/8HVXSzNYhAN1u6j6a4ff1p2+TJnxXqap9iaTZCuLwzWJdwjV7clhOCsd5Y0T/EMn1E0JFszrG3p9sy2+GRXASTDaEiv18fKLfSqgW1aeIa30KtMk4BpMl0YCGwb8TI0A0u1NuwLJDme4XFztEpmxI0PUJIRslqlnut0RYw0DPQgQr3ZggceRRUqQggc1SFMI6p2FcFR30EisTWLSRRgGzZZXgRGpnlKKlMsYTGIRmu1MHWnTmt0UgAvhMBWbUbRFHFsJKQpDdqqPBK5S4lvedimhcwKq98gDomW9AIVs0KQRyiKgmPbWEHAYDLBqZ5iKiST4Yh+v79wVLJte61WwNANqm6JPJeUfYdROGEYDhejXc1Sncl0/XvLtzzCDfen4pRo9/rrX2e7DMcbiuF2m0iyKuwXAlQVcesWZc9nMNxcSNuGyZjNRXKWbl+ECHaMSUVrxsWSNC1c2EyT5l5zq3uZY1lbV/J9d/eY1S7CY5sG40lIGMeE8dHxaq6K7zjoqkYSSRRFbBz7WieEX4aqqjtF/ZsCJZexa8Sq7Dt0eptZQhRFDAddSqXS2oJrNJ6gGxpJknL6fBXfdQgmMYeH/WK8stvFME3Ona2TpvnWRa1dJE831J0dGN+36ETbtUWbcLcRlhs3bvDWW2/dIyufMaSUvPPOOxwcHCzICnyy0Mp7tsZfUXxWGpYkSXj55ZeZTCZ8+9vf/szY8d3eYZFS8v777/Puu+/y9a9//WPbKm4bCfuoehUpJb/99m/zo/d/BLAY+VKFStUudCbjeEyUF25T2wp5KIp5UzW5taQxmWtfUpkyDAvCUbbKTJPdCfcNu8HN0c3FfwuhUDbLGKpJkseM4zG2bq8dFZsjy3MGnT62amNULVRVIc3TE3oVUzWpmFUymdFwG8RpzDSZLCx8ASytWBVem6Eyw56zx+G665RlgKAhbTpECxISawLSgHx27ZtOk/3RrZOvpxiLa4fdtdfN0u0iKHDNYyWzTH88YN3IVWNGZES9jugPwJEgBCWpEsQJ9VyF5lli12ccTRjFI1ShLYTyK9ty67RnwZF0u4gXXoRul4YE0ylhPfYI+aVLpGlKEARMJhPyaUY76VIrV6lXK2iGRpCETKOAMDEZTE7e18Kad31xparaRjE9cntRbeomow2kwjdMhopSdFWWP1dSgqahq9t/YrZ1JwzdoL8lpNK1TcYbyBkUYv7hse3HcUy708F1XaqVysZxsTmieIdtrrl9zMpz7K3HCJtHqNIsozcaUav49IIRiiUouy6GppNEktEgJJuZGewajyqXHLpbiARAvONcixGrj68rCcKQXrdLrVrDsjbrNcueTbs7Io4TOnHREfSrJufvq4MUdNtDxuMJrdYATdMW3RdjKfNll7MXQMnbLdrfXR2sD530fYszZ6prnv/54Pr167z99ts89dRTX0ntw+cFKSXvvvsu+/v7PPPMM1vT6T+KbfJwOMT3/c/kHO4mfOUJCxSkZZtF7SfFeDzmhRdewLZtnn322RNz6p8m7mZb4zzPee2112i323zrW9+iXD7pAHS72ETMljsrt0NWojTi11/+dV5tvXrisUwe6UwMzaBmFl/8FavCIFwv8vYMj0xmJ4r5Ze2LIhTO+mfJ8uI4NxEWRVGpmJUTBEnKnEF0NOpTs+tkeUrJLJHrLqN4TJwdFTRJmjLqjrBNF8s3NxYZuqJjahYHk2P2vwJs3cbSLEzVAARBEqCrBsmaFPum01xPVgB8n0Zm0krGoM0/FxIRx+QzZ7htY2Cu7hKl8dprpqs6qlSZpCeLLFu3CeOIbI1bWsNt0Bp10RQd96HHsW62oTMks23SLGeShoxPN8mrNsxE+k23uTbl3lANBuNZ0R2GiH/1r8iHQ4Tj0FRsWuEE5aWXwbSwz5+nWa1jaDphGNPqtehPehz0b6GqKpZlcaZ2iv54xLq3cc2r0Oqt76DU3DKt/obH/Ard/obRM1WjvyH1HsB88CEmL78KcQyGUZCWLAMpEZcubRXbV/wS/cHmbZdch/YWEuxa9vbuh7Mq5g+jiE6nQ6lUwve8Igyyv+XcDIPhDkIT7MoBsbaTKl3TdpKmRREj5dF7CVDMgsDYhkk4yQjDzR0YZYdAXdc1Bju6DZaps+WtAGx2IZsGAb1ul0sXz5Nsv2TINYcqJYv3kmoJyk6ZM+eajIZTWocDut3CRdG0LGzL4szZOoMtFtxwO6J9do6DFWN0J/fzyF3UXbl27RrvvvsuP/VTP0W1eveQqK8Crly5ws2bN3nmmWc+Ukdkm23y9evXeeONN7hy5cq2TXwpcY+wfMqY54hcuHCBhx9++DN3JbtbCcvcIe2jius34fhI2McR1/fCHt99/rvcGN3Y+rw5CVnOTtEVHd/yUTjKWKlaVUbxaKvGBGYdk/HNxUK/ruqUjBJCCCbJZEYGioT77nR9YvtiW8u2xUu/tY7u4ug2YRiy39nHdV0M11xb+MJRIOQwXFMwSopjUnQ6UY8kPyIpuqJj6za6oqMIBUPRmSYhnu4SZtGJa1E//witazcRt24hNQ0UBRFFSM9DXriwlazYmkOW5WsNCVSh4mgug+Dk8WuKjiI1gmSCoRtYmomuaShCQVcMJtEUQ9eJ05iBrTD49lOIK1fYuzWgawrkpQeRDz64GIPyTY/OqL/2GD3DoxsVjyXvv482HILvU9ZMglzQ9ErQ6xNc+5DB+dP0p32aXoNhOMK0LUzbQkpJGEaEQcD+/iHTKChWlW0ba2aZrAhl49iWIsRWYfq2sauqW6K1YVRMURT6lk3+xBMor7wCc2csRUGeOkXl6Z+ms6VzoynbBc/xDs3FdIf74bLuZl4wV6pV3NkqpyK2j4X67vqxvDls09h6XYGVcMV1KPnuVo0OyM2mATMCY9RU+uEA1VaouIUFeRRmjAbhYiFul5i+7BddjW3YJaZ33fW215PJhP5gQK1ep1Ip0WptF+1vss6eo1RyGAymzBNUq3sul/zTZElGqzWg3x+TXZsShhLLsrEsC03XTgj3d3WlPM/cSVgsS19LWB579O5Ii//www+5cuUKP/VTP3Vbbpv3cOdw5coVbty4wdNPP/2Jx7fm3Zf9/X3+7J/9s/ypP/Wn+I//4//4Dh3pFwf3CMunBCklV69e5cqVKztzRD5N3I2EZTQa8dxzz1GpVHjiiSfuiEPa8kjYxxHXfzD4gL/94t8uHLWcJpNkfcbKJhKS5And6dEK+1nvLKlMcXWXYbQ+4X6uDTluW5xkCZ3giJjU7Bq6MEjzBEMzidP1P6LbLJCnyYTWoEUyTLBLNq7rFnoVVSeXOZNksnA1u51AyKpVYRSP116HJEqKEEu7xo1jmhVNqBiaWRA8wydKI+rf+nnElSvw4QfINCG9dIns/su4tTP0wyGGZizuZS5zJBJDMVGFyjSboioa6qxoV4WCKlRcwydKIupuHQWBEIXWJZcSBYVxNEXRBHEeEccRxIXOiFwQJccIUKVC/ef+OAe9VtFBWNI/KUJBZmJthk7dqS4yV5IoweoNqaOQGwYih66aMQawFeSoB0hswzpBfoQQ2LbF+cYZ2oMBTuwShCGj4YheOpvpr59mkgRrHatqfnVhKwsU3Y8PP0S8/z7+NGJUqRfmAWsKmnUOWYoQaLpG1fOZBCH2t55BfeAS6tWrKFmGPHMGefkSpmHTtE1YeveLxf9KBFCv+YBAypw8L+5vnuUoikowjYv7tqZp4NoW4y3jZMvZLuPJhMGsYLZnCyNCKDuT53cFF7qOTbDFUtkwtJ372OR+NofvuTs7MOmMcGZ5vmKcoHsavutgqibDQchWfrfj+1HTtZ1iets2TpCN8XjMYDikUa9jmibBDqG859lbTRgAjGMTCnkuF8J909V4YO8MtmnSaQ9pHRbW4qqqLEi+aZh4XhHyuet8dhGWdAPZf+Thz7/D8v7773P16lW++c1vfqLphXv46Lh69SrXrl3jmWeeuWPj/wcHB/ziL/4i3/72t/nf//f//VNzlr2bcY+wcOdHwrIs49VXX6XX633iUadPiruNsBweHvLSSy9x+fJlHnjggTvWcZqPhH0ccf0Lt17g77z6d06MFTm6g6u7RcZKOCgcvoL2zvdK02keOXwBmlKk0itCYRJPCNJgY7jkcZTNMqNovDJq5eguru6Qy5xRPCbJ47XEZw5JYaOthgpO1cUwdVKZ0p+t/M9hqiY1u0GWpxhKiiKUte5odbtOL+xtDLpUhELFrNKenhyRSmVGmkxpOk2uD68fPXBfvfg3Q9PZY398MokeijErTdEYz8WwMmf5Ld5wGuwP1utdGm6D1vhkl0oRAkspxPnH4ZkuvXER0Hgcdad+YhTM0k1co+gy1Uplbh7u0x10ObVXonMAjQzaytK1S7NFZomjOwRrMnwEgjBKEIBhGBiGQblUIs0yojCk3e0xmoyLmX7bXrKDPWkbLF5+GeXNN0FKrFRh2u7jXr+O+sf/bdRz54rxIQG6qhLGCbplk+QZSZqSZknheEZCKDXG6ewe+Do8+fBiH3Ye0t7SOaiXK3Q2jKgB7FUKBzzUwjZYUws9jKaqKELB1k0c1yDPJXkmSZKUMEoWJMN3Civl0XDIeDym0WhgGsZi+xXfpbdlXE3T1E9MaEquSzte78oGxT0d7NCE2Ia+1ehKUzcTryRN6Q6G7NUrTLIRVsXEs21kKhgNI+LoaLHhtsT0WztBq506SbEwNR6NaDYaGIaBaRk7gytty9hJWKItuTpQaH9a3T4ocPpCtXgvTCNahwN6vR55nnP6VIUwBMuyNhZ+m8jIHIqy3kr6zJky5fJmrcJngatXr/LBBx/w9NNPU5p9t9zDZ4P3339/ce3vFFlpt9v8e//ev8eTTz7Jr//6r38lyQrcIyx3HEEQ8MILL6AoCs8++yymudkm9rPA3UJYljtOTzzxBKePp29/Qsw7LB9lBAzgB+/9gH/87j9eS0KmyXTRZTnlniLNU+p2nWE0JF6j1VCFStkq05qu6jWOp9LX7BqGahClEZqibRwZq9sN+kHvhAPYNJkwnaWxq4pGw27Mnl9nnEyIlvJfpJR0ez0c6aJXNbQ1FqtzeLrHwfjWymidruq4ulM4hwmJhk4n6GwkK5rQ8Ax/5XyPY2+bpoVZp2jDGJimaJiqxShcX8ZtSrEHaG4gK7A5UFJVig5Klp/8DJXtCnEa0/BrCKXojE3iKWEW4Cku+4ND+v0eYRTRbO6h1upo711l3B+Aa4NQIAxAU5GXLlFyShtHy+pudW2ApKaqnD5zH+1eD6/kE0bF6NjcDrZZaTCKx1RKPoahIwYD1HfeItME0rIYScgRTCdj5Iv/krzyC4vV9ppXoTteX3C7pr2ipzgO33S3rqbn2fZicBIevYfTLCPNMsKlGUfHtJkGxwpbFTRDwzQMFCNHUSN0I+eRRy4DCtMgJpuRjF0/+GXP3ep2pd8Godn0GVnso+TSH2zfxrbQS4CS527V4cCRcUAYRYTzNosq8Bs2pmaiotE63E5GdqnPNe3IhUwCw8GA6XS6ki3kuxZRsH1ELtnhaKkb2k5y5XnWIkw0SdKFNbhfszh3oY6UEAURnW6Hfr+HruuL7ouu6wjERjKyjE2hk48+8vmOg125coVr167x9NNPfyWF2Z8nPvjgA65evXpHr3232+VP/ak/xUMPPcRv/MZvfKS4hy8bvrpn/img1+vxwgsvsLe3x+OPP/6R00s/DSx3Hj5r/cwceZ7z6quv0ul0PrWOk6IoxHFMmqaoqrrzXLM84zdf+03+9c1/vfV58+7IivBcgG/6C3viUTTCVE1MzdxaqEPxunEyJp6FkSlCoWJVMBSDICu2BUWHoRDXb+7mmJqFoegnCJKtO7h6oe/48MYH+KqHWta3hpg17GbR7Tm2uyRL6GczYbnT4Na06FxYmoml2QsXqDTPSNJkZqPcP7mDOIYoYq96/mOTFVUouPp6XUpxfJvJSs2pbiQrDbdBa7j+sYpZZRxNqDhltNn7Ks0z0iwhTiOC5OSKccWucDjo0O10yLKcvXmCuq5R/vk/Qftf/AFiMCjGgWyb/LHHkKdPI/L171kFsVLAL0MIhWkQ4Fo2pqmjKgoISLOUwWRIEqQc9m6x37mBZVn4BwfYJGC7NHNBNN+lYSA6XYgisCxM3dyYeg8FYZhsyVcZbRGam4ZBb7xFbO84J9y9luHbzkbtSJqlqKnCG9ffIY5jGs0Go2RGrDQwbQPbNFG0nEbTJ0tzgiBZFLhzyB2jWru0J4qibLVzBnY6qFmmsTPjZddvjK5pDNaNlEnJaDJlxJS9egXFSSm7LprQmIziE0GIu7oeJb9wIZNAv98nDEMazeaK3XKebb+mmro7w2XuILYNm4wHpITBeIIQAlVVuO/yHrZpMh4Vwv12q1XkRVkWp05ViKIcsUXnpGnrSe/nJbiXUi50E3dyFOkebg8ffvgh7733Ht/85jfvWFer3+/zp//0n+bcuXN8//vfx1jqEn8VcY+w3CFcu3aNN998k0ceeYQLFy58buTgOOYriVmWfS7MPIoiXnjhBaSUd0Rcvw55nuP7Pm+99Rbtdptms8ne3h7lcnntfRjHY/72i3+bW+NbNJwGaZ4ugh2XYWkWuqqfJCESRtFoQS6qdhVdFFoQXdFJ8vWriHW7Tj/sr3RMcpmvFPiGatCwG8RZgqs7TJL1RY+ne6QyYxSf/PEOkinDYEi33aHhNjFLJr5ZQldUkiwttCfy6Bj37CaHk+2jacezZsI0IlzS0hiagalYDKIhtlas3GqKipLlyFdfJb/6HlaY0rZ/grjvPPKBB06k2G8jK4oQlMwyvWl/7eN1p76RkJQsn8F0fZFTNktMw4Cy7aOpGooQIARZnmKqJofDDlmeEWWrxXnDbTBaQ05VoRBMQ1qtFoqi0NxrFtsEPNOjlQfIn/95GAwhSwvdiKpS92oLvcuJc/NqtPo9bNPCNAx0TQUkaZ5h6gYH3Q4SyfEavuz4DPIJp06fJk0SwjAkShKMLIMkoYuGVGedyLkt8awALtsuh9H6kS1FiK3dlYpXor8l26TkeLQ2bBvANEzYoU/ZRFhyKZmMhiRpQnNvryBwS4iSGNsyOeyv3jvNUXAsG0MzUIRKFufohkoSb7BK30Foyr5Lb4sDGrDT7thzbcIdHZZtOh4oAiU73c1jaUAxSpdlKwTVrlp4lk2WQJ6yM5RSVRWkhF6/RxxFNJvNFT2VEGJnXo3vW/R27GfX4LYQMNoxZlcuOfQHE9I0W3Sc6qd8LvunSaKUVmvAYDCg251gmkZhbmFZaMcI5nGSC4Wd8kMP3tnpgdvB3D735s2bd3QU6R5uD9euXePKlSt3VC80HA75c3/uz1Gv1/mt3/qtz31a527APcLCJ8tiyfOcN998k/39fb75zW/edYFMnydhGQ6HPP/881SrVb7+9a/f8bnLuRNYlmWcPXuW06dP0+12OTw85MUXXyxGYppNms0mtVoNVVXZH+/z3Re+S2fmtjUf+dIVnZJVrIqM4hGWZhFl0YKUbELVrjKKlkT4AkpmCVM1ibJoYWfcdJq0gtbWX1xNKXQtyxkrlmbjGUVK+zgZEyYBFavKJB5vJEZRFNHr9jldOY20IJUpvXC5QBOFa5hmY6kmw3i8MXhTIKi720MjTc1CE9riWgVpsAjGFG+8gfLeezSFx35JgThGe/sddKmgPvlTaIqKKlRM1STJEppeY3FfpZTkSKTMsTWHSTTBM9yFhFtSdB8szSJJs5lL2ywhGFGspCoqIheYXuG2lcucPM9IZvcryuLCbCCenfuswHUNl+FkvHYUrO7UaK8JmwTwNZ83rr6DaZhUq9UVLbMmtIIUCwGVox81RShMZx0UVdFwTAtD11EUgcwlURKhGpIgmxAERwWdEAJLc9YaOgCoQpvdQ9B1vRjNeeQR1CtXqE9iDmyFPMkQUqJGEfmFC6DrqAgGk82FY80r0x5sLoI1tn/Opxu6RcU5sd1KWLKRrGR5Tqfdxrcdms3mRhewdZ2NNM8ZTovk+XqpRGc6BAWskoljWqhCI09zxtOYNMl2joMdJ0rH4TvOzu7JrlHekuvstF0WO0p8w9AZrrmeQRgSzO5Ts16hrJkYqkEwTRmvsT8eTQK63Q5pmhbjj8cWI0q+zWCw/Xxv5/dhlwbG952dXRpdP7mfLM8XBNP2DRr1MqfPZgz6Rd7LoN9H0+ajYxa+7zJeI9q///49DOOz/Z2dBxPeunXrI9vn3sMnx/Xr13nnnXfuKFkZj8f8+T//53Ech9/+7d/+VBZ6v4i4R1g+AeI45oUXXiBNU5599tmtoUCfF+Zk7LPWsRwcHPDyyy9z//33c//999/xjtM6cb2iKOzt7bG3t0ee5/T7fVqtFm+++SZJkjA0h/xe9/dAOzlKkeRHzlx1u14EORplAiVY28WAgoScEOFLVjJXDNWg4TSIs7ggMRscvkzVxFRPjpSFaUCYHv3Qn/bOzDJWyjNnr9UiYDKdMulPOFM/gzTlhtFzSZgGWJrF9XFh4SwQ+JaHoZooCOIsIUgDPMOjvaX7Yus2SLHIlFlBECBu3KCp+Bz6s68aTScTU7Lr75NfOg+mSdPZ48bw5snXF4dKw2lwa0to5CAcrs1hUYWKq3sM1+hdBIKyWWbSv4l45x2UW8X289OnEQ89gqKXVsIx5zA0k1G4viAy0Hn9ytu4nkupVFq59nW3TmfYW+zbNi0s3UBVVQzFYBIF5CIjSiJGUbywpG76DYbB+vdf3a3RHq7vVHimS3e0hlRYFvlTTxH/0Ytos9VlCaSeR/vcOdKb+5yqNhjnUyzLWjtylGz5LtFUjd5oM8n3HY/RFjJU8Ur0toR9lD1vbThmmmW0220828Zyva3fN9vIGKwuYIVxRBivfmYbjQpZJtGFRppIRpOQJF7VXqwjAcuwre3jXqqi7AxptKztOTFC7Bb1+65Np7ddvxLHyco1syomnuWQJzAchGiayvVrN8nzvCCKa94zxSjLdsIy3WEz7Hv2zi6NZWjsUONstaoGMEyNdndQfDA0OHexhmPZBNOIw4MBnU6HNBkTxaIgMObR5+Sz1q9IKXn77bc5PDzcGUx4D3ceN27c4O23376jttHT6ZS/8Bf+AkIIfud3fuceAV3CPcLyMTHvHpTLZZ5++um7VghVzOt+dsJ7KSXvvfce77333qcirp/vY5e4XlEUarUatVqNhx9+mN99+3f5B6/8A6bBlDRJMUwD27Kx7NVWf9NtFpqQJQ5iaRae4ZHLnGE0JM3TomMy3dx1gCJ53DXclY6JZ3hYmkUmMwbRgDzP8XSPLD8ZLnkcTWePW+NbLB+cPXMyQ0putveJRhGn9k4htc0rq6rQ8A2P7pJ1skTOiNno6Dm6T5AE1JwaqlDJZUY0S7rPpSx0Mrk8QZoWmAbsTeCweuz+mCZiPIEgoFk9v7V703Q357BYmk2SphuDNstWle5kfSek4TRota+j/Kt/VehJjKLdrly9SvNwzK1/41uwZlXL0126k/6JvwdBSLfXo1Qq4XnFD4xlWFj6LONFKlRLZeI0ZhoHTNMJ03SCoZnkqSTNToqNdVWjPx4UgZNXriD294uMk/Pn4f4HmEabV5st3WS8oUAsP/EU/XK9sDaOImS5gnLxIk3TIEkSRK4wGvTpdXsYpoFl2di2haZpeKazdRxsW25LcVzbXa92ZaMYa75nkzSl3Wph2TaX7rtIe8v+K55Pf8vxK0LQX0OIliGB3mjps6qAXTZxTRtkYat92No9hrUNZd+lu2OkbJulMkDJc3bbKu+ArusnNDDL4n2pSdI0oVIzKXl1phuMFqIdx+o45k7CYln6TsKy67oatyHa9z2HTufo/sZxSjxbtKo0HO671ETXFG5e79LrzazFDRPLtrh4X2Xrtu8kpJS8+eabtNttnnnmGWzb/sz2fQ9w8+ZN3nrrLZ566qk7FsgZhiF/8S/+RaIo4gc/+MG90b5juDur7M8YH3X1/9atW7zyyiufWvfgTmNTCvydxrKd88/8zM98KnaK887K7TqB5TLn/3rr/+IPr/0hF/cuIoSgN+kxnAwJwoDBYICma9iWzfnqeQ4nhycCxsI0XGSUGKrBKe8UWZ7h6u5Gjclc/9ILVlfAx/GYcTxLbBYqZ/wz5HlejKZtMMgRiKLAXmNbHCRTpvGEbq+HkRmcPn0Kz/ZRhUqYhozj8crIkKEamKp5wtJ4GbqiY6v2Qltz3NpYCEHDqSOlQBEKnuGR5glhEhXXqYjZoFk9y6H9HCQJmEtjGHGC1DSapbO0tnRvms4erfF6MqMpOqpQmWzIiileu37bdadBa9xGXLuGGAyQpdJiFKyh+7SGHcS1a8iHHlp5XcOt0x4d3U9N1bE0nXAaokwl58+exbKtQt+ThIRZQJgFNN0GB8P151EyfdrRelJVccq0Dm6i/sEfQK9X2CpLiWi3aex3OfjZn1lrtWzrFp0tI1sCBapVZLW6MjAkgEapynA65dSpU6RpShiGBEHIcDBA0zTUximiNMGYWSYfxzbNhSLEVrJQWPRuflwIQf9YOGYUx3Q6HTzXxS+ViOLthfEmofQcFd9fuEptOoZ1AZ1BFBHMivhmtYJip3i2g6EZZLFkOAoWNsiWub0zAqBsMciAYpRr10iZYehbHxdC7OzilHxnowYmy3Pa7TZl38V0HKZyXHRfTIc8FQwHxTkbpr6TJLi3QViSZPuim66ru8mIb9PpbCeC28bopJQMRmNMU8dwNS43TmHqBsPBlPFowocfvkmr9QGNRoNms0mlUvlUzHeklLzxxht0u917ZOVzwP7+Pm+++Sbf+MY3qNVqd2SbURTxH/wH/wG9Xo/f+73fu5edswb3CMtHwHxW9MMPP+Qb3/gGe3t7n/ch3RY+iw5LFEU8//zzAJ+anfO8q3K7ZCVMQ37t5V/j9dbrAEfjVgqcq5/D0AzG0ZjBeAAxvHHtDRRFwbZtbMvGMI0V8mLO5rgPlvJBHN3BNdyFcD/Pc3zTJ8mS29K/3BrfWoyUGZqBb/iF81NcBFcWVsmVjd2cLM/pdDqU9BJW1SImXumcqEItBPeqATkkMlnv4jWDpVmoaAy3HLs3H8Nao6FRVAVLsykbZZIspnHqMuLKuyS+QWxqxHFAFgQ0Lj7GgdjcISgS7tefsyLUmVvY+kKq4TZojdaTlZLp058J90WvXxCVuW4lVxmIHITA7PbRLQ9NLUIpNUUjTXOqXpkkK8hZkkV0Wi3yKMMrlZnKkOmxZHff9DbqXTzLpTNaP9Jl6ibdUR/x3nsFWXHdxXGKNCW4cR1x/Tzy4n1rtxuEG0bFLGe1O3AMumYARRGraRqe5+F5Hnmek8QJ/dGI0WRc6Gcsa/FPCIFve1tDDqt+ic4WMlD2SnT6m4lWxfVWxsXCMKTT7VIulfA8D8eytibPC7FZ/zLHruKy7HpHHZgsQ9y8CZMJlErIM2dACMbTgCzPGUyWyJcGnu9g6SaWZtJqD4miTRa+ci0pWobv2nR2dGS3ubhB4XQ22JJFA5uL92w2gmeYBrbjLb7Dlrsviimo1PziPdeebg1q3JV5oqq7XddKnrPVihrYrdoHhms0OsvwPYvRuLi20yBiGkQg4Oe+83W+852fo9Pp0G63eeWVV8jznHq9TqPRoDHLo/mkkFLy+uuv0+v1eOaZZ+7pGz5j3Lp1i9dff51vfOMbd0yzHMcxf+Wv/BVu3rzJD3/4wzvWsfmy4R5huU2kacpLL73EZDLh29/+9heqVfdpE5bPUlwPt5dc3w26fPeF766MYx1tEAbRAKKCcJyqnEJTNZppk8PhIdPplG63i0RiWRa2bdPwG2QyO0FClrNaVKFy1jtLJjPG+fZCYM/d43Cy2jGJs3gl4d63SriaS5IlmJq1kq8CxShMp91mzz2F4s/aGseQyYx+2C/S67OEKIuwVAtHd1EVhSRPGUeFa5ijOUgpN3aNACpWhfGahPs58jzH0Wz2x7OE+8fuQ+QjxGELMUqRmsbe+YcZPP4wJdNFUwpnLiGUojEjJZpiEKcRFbtCJnPIczKZF4J5mVOxKnQmPTTl6OtLIhFCwTNcxsEUSyvmyhVRvFdUoaCioqs6hmohAGGVUKJ9slwrXp8rpCJDiJzI1ghnYyACQckoMVjSwkgp6XV7RHHE/WcfIEjXFIdSoqBsDBrVMZByfXHkmx7tqIsyGwNjqZBuCJMWEeLw8ARhMTSD7nBz0W/pFmPWF7KGptNbp3uh+Myd3TtNp9/HK/nEcUwQhDM3pS6maWE2NLIs2/j5z3cErmY7ghhV5Wi70+mUXq9HtVbDma0uu5ZdFI8bUHI9BluIgCLE1g4PcGTT2++j/uhHMNfrCAHVKs4v/klGGyLlx8GUcTCl6vtEYopdtnAtG5kJJuOIMCwWAMq+u1N7ssulzLHNE+T5OIwtmUywWQOTZhntVgvTNLn/4gV6Gxzh8lzSHw1RVZjIIU7NxjVt0ggG/enCflhRxU6hfKXs0OluvzfcRiNjp1PZ7ehkbHNBWJbx6EPnUVV1oaOUUjIajWi1Wly7do3XX3+dUqlEs9mk0Wjgedu1VusgpeS1115jMBjcIyufAw4ODnjttdd48sknaTQad2SbaZryH/1H/xHvvfceP/rRj+4646a7CfcIC7tHwiaTCc8//zyWZfHss88ugrC+KPg0Cct8PO6BBx7g8uXLn7q4Xgixcx/v99/ney9+b2eHo2yWmaZHhAPAtV1Ol0+jCpXOuEN/3Cef5FzpXkE3dSy7WFFeLp7mqNk19if7i2O1dRtXd4sxgnhAmqUIIYpU+sn6VPo5HN0hy1JuhftLf3NxdAekpD1q0zo85L76fSTm9rC1illlnByRjDALCY/b9NqNWTdJYGk202R6wiCgalcZhsMTQZZzCAR1p057umQvbBjIp55CjseIIKReOcstLQUygjUrxHWnzv5o/8Tf52g6TQ43dF4c3WQST486P0uLtgJB2ajQGR1dd3GmivKhgGhI0yhzqCSIIABNg7NH4tmm2+BwKd8lz3I63Q4yl3zt8uN0J+uL/LrXoDNc312pOdX1onjANZ2jzouqrvBQgWRS/J8TttBQWDi3N1gGbyMzAqjYPt1siJAsggILElnU4/ORJiEEpmlimiaSMmmakkQx+4ctgjBcBPHZto2m6wiK7JX+FjG+aRjbx8UUZSHmH4/HDIZD6o0G1lIndxpuHykytO3f22XP35o9A0WOB1IWY3qjUfFeEQLyHLpd3P/v/2P0C9/ZfB6auujQBFFIsKRDsisWrmlj6RZhHG/swKi3kfHiOtvJG8Bkh61y4bi1up+5Xsi2bcqVCuq6LJnRGOXVVxA3biBUjfFDD8CjjzENA6ZhsU/NVak4Hoos9F2Hre3XXdzGWNV4DYlYOZ/bISOWsfM5SXLyvgghePSRcyf+ViqVKJVKPPDAA0RRRLvdpt1uc/XqVXRdX3Re5i6W2zDPMxuPxzzzzDP3bG4/YxweHvLqq6/y5JNP0mw278g20zTll3/5l3nttdf40Y9+dMe2+2XFPcKyA61Wi5deeonz58/z8MMP3xVhkB8VnwZhWRbXP/nkk5w6deqObn++j4+aXP/8ref5zVd/E0d3aDpNpsl0bceg7tTpBb0TadRpntKbj9No8Ni5x4jzmEk44WBwwGQ8od/rYxgGlm1hWzaapq0V4QdJsNB/CCGoWlVs3WYcjxGIjXa0JbNEmITE2eo8/jzhfjKd0u/1eej0gzh+IfCeJOMTWhMoHM96YX9r6nbZLDMIByTHhN+GauDoDrqqowmNaTotirM1hy0Q1KzaKllZPCjA96nvXaazQQQPBSHqTjfnczTd5sZRL03VEVJsFOA37JPifdlskj/yCM3X36MVtosa3TDIH34Y2SzGPX2rRGtppCtLM9qdNqqqcuHshY35LrqiMdzwmCIUwi1aC1Mzmcw6L/LcOcThIaQpaBqNTKMdh5hCQbnvIorjoapFJ0lVVZRcoVGtzGREkkzmsw5ljmM4DKZj8jwr/j7rXBUEWzBMh6TK+iK3ZHsMJn2Y1fyFZXSxX1sxqbh7TKYBUkqiMCKYBoThiCxRcRwX1/RwLZNMStI0I46TWap58ZkuOS6tLbqqsu/T7g0YDodMJhOax8ZrfMfdOQ62yx1sW7AqzAT7ozGi1YLBoCCT8+8kRQEpiT68BuMxbOjAl11v49jb3ErYtS0iEeJUio5EnkoGg3BBGMv+7nT7dUX1MhzbYrpjZMw8tjCXJAmtdhvXPXLBGx+/5qMR6j/6R0UAqZSU84T+cwPU6zfI/vgfX3QK0yxbEPZmrYLf0LA1iyjIGAyDE98xo51jWrdBRszdov1d101VlLXdoLNnqpT87Q5dpmly7tw5zp07R57n9Hq9hYtlHMfUarVF9+V45yTPc1555RWm0ynPPPPMVz5A8LNGq9XilVde4YknnrhjpCLLMv6T/+Q/4Sc/+Qk//vGPPxWDoi8b7hGWDZBS8v777/Puu+/y+OOPc+7cud0vuktxpwnL3SiuB/jBlR/wj6/8Y6SUK8W+M3PSSvKEQTgoNA5bnKngSOh+c3w0UtaoNPD3fLIs49bgFuPJmNFgRNWu8u7wXWzbRtf1E6J9KGyLkzyhN1s511Ud3/CLDI6lsbKaXWMQDNZ2MSTF+F0wmfLguQeYMmU6PfrxNGduZgqCMIuwFJNW0GHb4HbVrDGMBmRrTBniLCbOYupOg1uTWwuCZWlWYSqgFAVNmqeYisnBlq5R3arTmXQ3krSyWWYYDjeOT9Wd+kayIoTA0z36QX/t4w27vl6ALwTW175B7+x95AcHgEQ2muAXxaYqFPI0XxxzEie0O20sy6JSrmBpFmF8bGU4zyHLKJdrKwL9ZdTcGu3BEQnSNQ1D09FUDUszyfKcvUoNiSR/6ilot8mvfUgmc6a5QBoa4SOXyU9VYGn/Ta/OrU2ETqhMo4gk3RBq6ldoD9ZfPyi6M3NtCxSfzzTLgOJ9OlVDRuGMEAjQXAPX1oniiM60R2fYZRqFRedlpntRTQ1T1zE0A6FJmvUSIMjzI1ITRjGSIiW93+8TBgHNYwnqot3Gfe0PmO7fKgjnAw8gH3+86H7MUPFKW+2WxUcZBwuC4j4fcyxzkQyFQIQhcgNh2SWhcG1roT1Z7kigC0olF0M3MISOMhQbE901Xd3pDuY6uwlLsNSxiuK4yLjxfXzfBwo3reOaJeWllwuyMiMm5kwTxq1biA8/RF66dGI/kyBkGoSMit4hRknHt32YCfdN02B8Jzoju0YOVWXnKF6p7NDrnXyfPPbIha2vOw5FUajX69TrdR555BEmkwntdnsh5vY8byHc9zyPV199lel0ytNPP32PrHzGmOuRvv71r98x3XKe5/zn//l/zj/7Z/+MH/3oR1/o+vKzxD3CwsmRsCzLeO211+h0OnzrW9/6wrs13EnCEoYhL7zwAkKIu0Zcn+Ypv/nab/KTmz9Z+/icECiKQsNpIHNJw27Qj/tr7WQ1RaNklk6QmmWNieVYnKudQ0OjPWpzODikNS7Szed2yaZpFvkmMxH+3B0MIMmSlcwVW7epW3XCNEJVtBP3S0pJt9dDxpJLZy8TrNE+RGm40LnsOXt0gi5ls4ShGmR5xjgZrxC5hl2nM+1tJAlQCNjbk1XSs+yaJtKMWmfKwaiFsB3scxcxTRdNKVafpcxRURlFmwuoklFiEk/XkiaAqlWlO9nceanb9dkxnoRnePQm68dNBAJd6ASODZcvndyvXaM9Lu5RFEaFG5Xv4fs+TbexSkiSFPH2WyjvX6UyzYhqVSpPfAP10iWEoqCIoqMmJCRpgufYJHlCnCYkxCRpDCkIUaY/PXa8/8ZPI26cZa894jBP4PRp5OnTR6v7gKao9Dd0dACqXoXWYHN3K043ryzrqr5VqO/bLsPpySJOKIUw/1StSX88wk0SwiBgNB7T6/UWVrB71TrDDd0PYUDJdjho3cS2FO6//BCKUIiihGkQIW/dQvn932cSxgWBSBKUl15Cttvk3/nO4hrtCnKs3MY42LyDI2u1oruSZSsubW6aMjGtwnVuDRRFMNxBihzLXi+Wl3JxjQ1dR9gZVddDEzrhNGE0OnpNxXNp78hW2dVJsC2T8cyFLIyK9365XMZbyoSwTeMEYRHXrxUzhDMEQinugRCIGzdOEBbXsZgc09rESUInKd6rwhDsNTxsV2UyTphuEO7vOh9NU3eO0ZVLDt01ZGRlOxu6cI8+/PELTiHEwtzi0qVLxDPnu3a7zfPPP7/QhT3yyCNfyAmPLzI6nQ4vv/wyjz/++B2bIsnznP/qv/qv+N3f/V1+/OMfc/HixTuy3a8C7hGWYwjDkOeffx5FUXj22We/FKK2O0VYBoMBzz//PPV6na9//et3/Mvz44jrx/GY773wPa72r259nqEa2Jq9MrYlhKBiVdAVnSANGMfjhRPY8QDH4/B0j2k6LcawNDhz6gye5hGGIYeDQ3rdggjs+Xt0og6aoW3NmPB0j+vD6/MjwzN8LM0ilxn9oM+t9gGmYnLq3B5htn0lsek0OZyd5yBaHT+xNRtbt7FUmyCZoghloyal6TS3dqKU0YT6v36V7riFMhM6hO++w/Sb31yMxFStKt1wNnonBKZqYKgGuqqjCAVN6Egp0VWdXOakeUqW56QyJc0SPMNjFI42kqqm26A1Xk9WNEUnS+XG82u4dVqjk68VCKpOmUk0xTNcgmBKOAq4fPYipZKPpmjkuaReqiBlXnQCf/z7pB9cJdNVUs1g2rsF/6JNnv4M8tyRHqbh1OlN148E1ZwK3fGaxxQFceE+BpcsZLK+YKs6FVob9DICwTjc/J4p2T7DyeZCreKWaPU3E0ZLNxmxeWVaVzUERaFt6DqlUoksywjCkDAIOLx1yDSOsGwby7IKy+R54G2e02l36U9G1Bt1ejOHt2LDAvetF6nHYxLXwZGCVCqMU0l68ybi1i3kmTOFmH7HOJiibP+eKbnekXOX7yMvXSoc3KQsuglZRgTkjz4KG1bAy563SFPfhCjZla3iLo5jmUSaZQPfcpG5QMjt38u304HxXJsgjAjCkG63S6VSwT0WShjFa7p1SwTOljlDoa59bA7HPklYliGlZBJOF7qfdcL92yUjne72a387v2eTNdbLpqHzwOU7N85jGAZnzpxhb2+PF198kTAMqdfrvP/++7z++utUq9XF6Ni9oMhPD91ul5deeonHHnvsjo1r5XnOX/trf43/+//+v/nxj3/M/ffff0e2+1XBPcKyhF6vx4svvkij0eBrX/val2Y1404Qls9CXD/vqsDtiev3x/v8ref/FlEW0XAbxGm8NnzRM7xFUOPxfS5b/DbsBpqiEWYhilA26j4qVoVJMlnRS8RpTDctCkav4nF27yx6rtMetun0O6Rpimma2HbRfZmL9hWhULNqx4iBZByPGMejmRNYh1PeKU7t7RWFfJSRrrMUFgoVq0ZrujnbJEgDfMPj5izhHgSu6WBrFgKFJE8YxxNqVpXDbWQFhdpLb9MdHsxyTFTIM0Svj/Laa+Tf+hZVu8ogHCxdR0mURURZ8aNvazZSQrihCLd1mzhNiq6VZqAKZeH8BeBoLlES0XBqMJPWLI/j6UInydIi0I9C0yFlMeBlaxaTaErJ9goHsjwjlRlZnqIpKpM4IEwjxuMRw+GIer1GpEa0JhFVq7pKOjod1P1r4Fg0hUNLyQAdxmPEW28iz54FAb7pbhwTQ27vctS9Gq0NqfaKUBgGmwlH3avQHvY3Pq6r28Xo42Az2SnE8JtX81VFXfu4qqp4rkvJ81FQ0MZjgjCk05l1MK2iQzkej/Ftl0ajcZJU5Dnh4QGxodHS549JMCR2GGNN2tB4BF1oDMdTkiRZ6UrNoWzIVlmGeSzTJH/2WRTbRrzzDiQJtmnSe/xx5Ne/vnEbu0IxTdNguMN22dQN4OSxRnFMFMcIRUFTFPy6iaVbxGHGaBisjI+VPXdnun2aZkyDgF63S61WO5HzYRjaiUBJAHn5fsRrr4KU+DIrOiyz73S5ZiV5p2ZEWyVXy2NyqqtSc3xsw6J1MCKON29L7CCkwFbiBGDbxtqsmIcePLMz3+ejIssyXnzxRbIs41vf+tbC6Gc6ndJut2m1Wrz99ts4jrMYHSuXy1+amuXzxrwWfPTRRzlz5swd2aaUkv/+v//v+f73v8+Pf/xjHjqW83UPu3GPsMxw/fp13njjDR5++GHuu+++uz4M8qNAUZSPTViklFy5coWrV69+atkzy3oVIcRtfem+3n6dX33pVxdOVpN4Nv+sGZSMUuHMFQ3wTZ9xNF6bGbKMmlWjH/UXTlqaolGxKihCYRSPFvtpOA06QWfrGBWyEE63Ji2ELTjvnsdWbIJpQGfU4Vb/FrpRzGk3Sg3aGwhGNBvFOFM9i+ZoHC6CI4sxM0u1yGXOMB6Ryxxf91cyWNYdV9M96r7M/zhJJivGBHvOHqNoRM2uoSoqucyJ0ohJPEEiUVCpBDm9wS2k6xZkBUBRkY6D6HapRgpDMdpI+gzVRKASJOsLNF01EFIQpLNi+ZgBgW/4HAaHG+2Vm+4e+8ODtY/ZusU4HJ8wGZjDM3w64x6DQZ8gCGg2jwTeDaexGBObQ/T7kGZYhkNPzD9nAgwDMRxCHINpoKLDhvT5hlffmNeiKgrD6eaCuu5VaA02d0CiZPN73zIsuqP+xserbnmr9qPilbdqX6peiXa/h3j/fZQ33yzE6q5bGBs8/DBVr0RnOMR2HGynsNWO45jpdEq/18PSDaZRSC4Etm2tOikJEKrKYE2GR6AIJkIiR10apQqTfIzqKHhWYSKBVIjCmPEk3BkWCWvyW1SV/Omn4RvfgCjCPnOa8XCLRgY2jr3NURgPbL6PAJMtnTIoyEh/WCx0zDUhmqNScT1UqTEeR+s42wpUTeXGrQN6vT71en3tlIHvunR6J7uB+RNPoN68Ad0uaZ4BRdipfPTRIqdmCZqq7AzQrHgunf76e5NlGd1Rn0atTKxN8EsetmYSTFNGw1XysUsD47km4y05MVCEWwbByQ7Yow+f3/q6j4o5WcnznG9+85toS1opx3G47777uO+++0jTdDE69vLLL5Pn+cJ1rNFofOHcTO8W9Pt9XnjhBR5++GHOLrlFfhJIKfnrf/2v86u/+qv8/u//Po8++ugd2e5XDfcIC0Voz5UrV/jmN7/5pfTAVlW1WF38iMiyjFdeeYXBYMC3v/3thdjyTuLjiOv/4MM/4Lfe/K21xXCcxrTTggDsuXukeUrFqjCKRwvdxXE0nSatoLWiiE3zdGUszDM8ymaZcTLeqpxd1zFJ8qQgTAaU6iWaShM1UZlMJly59h6oLHQv8wTxuRPY/acvE2sJmVwuriWjaMSIokAyVZOSWThD1e0GwTGrZjiyHN4UQDnb7IptcJCsXi9FUfB1H093Scc3aUSC0DCYsOQgrCpUxoJ+MCAz18/ya4qOoRiMN+haVKFgaxbDcH2hYqgmSZZuJCt1e5tAH3TFIIjXF5cNt0Fr2Kbb7ZIkCc1mc1EwmJrJIFjzOt0AAU4m6C5/o2Y56DpoKnWnRmcDMVCFwjjcXMzWnNrGcS8FwSjYXPRVnDL98Rb9iekSbrUD3v55jNeNBS0/niSIt99G+clPipV2VYXBAOVf/2vy6ZT8j/3C6t6EQBGCMAhwXY9LZ89x7eAWQTBlMOijaTq2bWFZNrqhU334YbqvvHqkJ5GyIIiqirzvvqIDNDv/LM8ZHNPaqLaC4Qgauo+UgmAanxCjr4yDHYemgaYRb9BfzVH2ffpbCA2wVk+3DM+xGe+wItbXjF2lWbawsxaKgq5A87RHGkkGg2DR1Z5D5Cn9Xp9GvYFprh9v22SegWmQ/ck/iXr1Pfo3byJVHXn5EnKNqLhc8nZ2em6nMzKaaW1G0zEjivtrVU080yFPBFkiGezIebHs3YRlk8nBY4/cOcKSpulCI/pTP/VTK2TlODRN49SpU5w6dQopJcPhkFarxQcffMBrr71GuVxejI65rvulWoT9tLBMVs6fvzP3VUrJ3/gbf4P/9X/9X/nhD3/IE088cUe2+1XEPcJCYTf4cz/3c1/aD/THGQmba3lUVeXZZ5/9VJxJPipZyfOc33rrt/iDD/9g57abbvNE1olvFrqQMA0ZRaOFE9jWIp6ChFiaxY1RMUalqzols4RAMIyHxGmx6qYrOq7h0g42j2RB0QVKRIJQBKe8U+i5ThqmDHoDunkXRVVIk5SHzz3MhO0EydZtBMpK4CQUJMbVPVRFJU4jNEXfflyy6B60JpufI2SRMn9zvA9GilLSEPEITA87V7GkitMPyRyXSuM8sSIJ0nBlfE1TNBzN3UhGBFC2yhvtjRWhYqmbyYxneAw2PAbQcE7aG8/h6A6dUZd2u42UkmZzb8Xq1tVdunH/xOvk6dPUDZ9OOCoS6YUCaQJpSv7gAyiazjTcPG5S96ocbhDEq4pGf7K50K35Vdpbuivb3juaotLfYEgA4Jr2othfB99xt3YNfNtlOBygvlqMCLG8Uh/HOG+8Sf+hx8A5GjeKoohOu43n+5RKJYI0WThTZXlOONO9jEZjFEWgPPgw3LiJ0u0W1s9QdD+eeQY8j7Ln09kSpCkltAer5hu6q+NZLrqiEScZpjAYrhnDmsM0jK2BlLCeSCxD07SFTmMTHNPaSVh2PT7vwMyh2gpV10dDYzyKOThooYp8ayp7YR6w5Xw1jfJPP023//DWY7md39s5GdmETXbGYRQRzgI8m7UKVctERWc8PAroXEa2pku3DEVZH27ZqJfYa94ZU545WVEUhaeeeuojBTALISiXy5TLZR588EHCMFyMjl25cgXTNBejY9Vq9d7o2BoMBgNeeOEFHnzwwTtKVv7m3/yb/I2/8Tf43d/9XZ566qk7st2vKu4RlhkUZXMi9RcdqqqeWEXbhrm4/tPS8nwccX2YhvzqS7/K1f5VGk6DLC80Kce7LJscvoCiKzELk3R0h4pVIUojNEXbuFq/ICFLY1tJltCZ542IYjzJMzyyPNtJfqpWlVE0XhTxQkCqJuCCb3uk3RQt03Ashxu3rpPrEss2sSzrxH04Sq8/+UM614poQsMzPbphl5JRwlRNciRhEhRjYGIp8HGD01ZxXVU8w6c/z6gxdOT9DyBefx2GQwJdx5hkHBqC+NELyGw4d7xFVzVMzcRUTQzFJM1S6m6NLM9JspgojRfXv+40aG8hTRWrQndDloumGoUlbpYBErpdxMFBUZU2GtQuPrKRrAgEZLB/ax9d16nVaivvybpTpzNeTwxU02b0s8/Cv/xDmBfwioI8ewb56KM0tnRIDM2gu4UU1J0KhxvF9DDZoi/xLX8rIal6FVr9zeYSjukw2RI+aOzQvli6yag/gDAsOk3L0HVK44Bppw1OYQkbBEEh8C6XcT2Pqlda0b+oioLrOLiz0bEszRhMpkyfegrz4ABnMkG1bZQHHkCpVgF2fqdXfZ/OYJXQJGlCb9xf/LdtWvhVHUu3yNNC67Bc9JZch9aWXB1gpzal7Hl0+v2tz9mW3QPgu87WLBo4SZyyPKc3GhSW6YMBuZpw8b77kbnKcDBd21Uo+S79Den2c+xyZYPdZKTkOTtHxizzduyM06NQUgW8uoOj24RBxnAYoCm7Rfsl36E/OPmcO9VdSZKEF154AU3T+MY3vvGRyMo6WJbF+fPnOX/+fDE61y0WYl5//XWSJKFery9Gx+4FUBZxAc8//zz3338/Fy58NIvqTZBS8t3vfpe//tf/Ov/kn/wTfvqnf/qObPerjHuE5SuAj9Jh2d/f59VXX+XBBx/k0qVLd4W4vhN0+O7z32V/XCSgz0e7NEWjYlcQUjCMhqiKiq7qOx2+LK0Qvd8cFRkrilCoWlU0VWMcHwUwOoYDkhVh/skTAgR0wg5xGhf5KqaPkIJJMlkZQ2vYDTpBF7lmlC3LczqdDgLBxQv30Yv7OIlLGiWIUDAdTRGGgtQltm1RdxuM4/FGogUF2bJ1e3H8w2OZIUUWjIetOYRphKPbTNeETxZkxTtxHeTly+SGgfjgfcrDiOlehfjShUJkvoQkT0njDMM02Z/cWnusiqKw5zaZxFOqThVVURAoi3jNXOZYqsU4muCZbuEklqdkebYgrb7uzVykJOL111HeeWex6m5LjfF9N+CbT611K/I1n7c+eLtI8C5XVub8TdXcKmqv2mXa9Qz+7X8bsb8PUQyVMrLZxDbshUZEiMKsQAgFoRSjTxW7wnA6wlD1Yp+iOOvic6GQ5Cklx1scz7z+FgIc3WYShWiqW+R5ytliAJJcSmzDJIojcinJZbZSfAoE402jZFGE/s67DK/fRFFV5IULyAcegKVUc13TtibXa2ImxteXkuCXi1gpmarqIstkMpnQ7/epVavYM+ejbSJ1IQSn6k06Wh+/VCLd2yMIAoIgIJ1MMJIUz3NppSnqlrGaXWtUZc9nMC7OcxQcFaxWycIzbZDq0jzkhm34HoPh9gJ/F7GyTHOnBsY2zZ2EZV0HRgL9Xp8wCnnw0iV6M1vtufZFkdqsMzHrJK9Ltz+GO0VGdj1nm9Ae1juijYPp4r1vlAyaFZ9gkjDsB6QbOi26sZ5APP7oJy9ukyTh+eefxzAMnnzyyU9MVo5DVVWazSbNZhMpJePxmHa7zY0bN3jjjTfwfX/RffF9/0s7abIJo9GI559/nsuXL98xi2EpJb/2a7/Gf/ff/Xf8w3/4D3n22WfvyHa/6rhHWGYQQnypOyy7CIuUknfffZcPPvjgUxfXz6/z7XRurvav8r0XvreSYTJHmqd0pwU58U0fXdFRhUqu52vT7aFIkY+yaNFpgaIYXqTbU4z+lIwSiVzqpGxAza4xCI+CHpMsWRwTFCNKtmajK3oRvriGrBROYG1s0+HC6Qv0o/6KDSwUc+hBEJBGKdpUpTVsoZrFuaqadkJIa6omuqKvdU1bnHeeI6XgxvAoHFNXNVzdRVcNpMyJshhVqOtJmwB5/hze5UcZJwHJBvtgJDs7ODW7zq3R5uDJhlPnxmB/7WNCETSdJoNwiG1aqAeHaG+9gyJU8Dw0BNo0IX3vA/KzF8gfeRix5CeWRRkf3rjB+b2zVMrzlPijaSpDMYjTIsAQWZCBgiBILM1iGoW4to20LKTvzwhDkSDvmBZh2i+Ex0A2bztJcHWHw/HhRj1Aw90sxBeiyAUK4vWjZp7pzLRIsmjFCEAp0ulVRaXilJgEASXDQVXUmXZEQUynqP/oH2EftAlUlUxCdvMm8f4+wS/8AtnsUCuOT2uL2L4Q4/egVEI2GkWna54MLyWVaUi/XEWeOsVoNGI4HNKo1zFnY2Oaqm7V3gBkszEuIQS6rqMvWSaHYYguFG4dHKCqauHOd8wyWVVVBuPtRMLQ1neRwjgkjENMwySKYgzPwLMcVFSm03jFcWpXga+pKoMt5A/Ad+zFiNMmTLdqkdZ3YKSEXq9LHCfsNZs4ts1kNr64rH1BgFdzsA0bsnzr7+XtdHpuh4yE0XZ9lK7ra53KlrHLES1OYuIspDsdoFiz8TipMR7HBNOjjtZ0erK7pWkqDz/4yUTZcRzz/PPPY1kWTz755Kc+qiWEWIxYXr58mTiOF6NjH3zwAZqmLchLrVa74+TpbsNoNOK5557j4sWLXFoTavpxIKXkN37jN/iv/+v/mt/5nd/h537u5+7Idu/hHmH5SmAXYcmyjJdffpnhcMjP/MzP3DXi+p/c/Al/9/W/u2IfvA41u8YgGpDlR+d4PN1eItc+bx0szeJgekAuc3RlplcRq3oVKHQyremqWP84JvEES7O4Ob6JKlSqdrWwTk7Cwn1s5gRWK9VoVBsMj1kvz6GpKr7n0dhrcjg+JAgDwiAg6Sf4Rgnf9dEtnURJsDSrWElLNhdjqtDwdI9esDrmlGQp/Www26eGozkMwgGe4WFpJgKFLM8I0oAgCfAMjyiLN5MV5nkum8e8iuDHbWNgZTpbgiNrdo3D8RHZETeuosgESjaQ0Uh0DjwFZI784C3y883Fc+MwYtAd4ZZdMj2nM10lCHWnxq0NbmMCQW5IRtH661x1KhvHyAAMzWQSrScclm6ujCUdR82p0dlkkQxYur3GjliS5RlZnhHGEZPoZLEnXn4ZZdzBqdhMtVnxlGVw+CH5zSuoly5jaAa5klGr+LNO2CydPstJkoQwjonTo89s/q2fQf3xj2A0WhAWzXbJfvZZBqMRk8mEZrO5opmouqWtzme2aR6N+RyDqqq4rkvJcVFMgyiKCINVy2Tbtjm3d4rulrBIIcTWfBoA33aIopg4iekuZajMCYwiFbId1r1l36PT36yzATY62s3h2Bbj6fbi/XgHRkpJt9slTVOazSaqqmx1ISu6EpJxEKB7GiXHg1xlOAhIljodtmXsJCy7yIhh6DvH6Eqes9apbBW7f2fGM3KZz8bj5vDqDrZuI1PodE6+Dx68/zSG8fFLqDiOee6553AchyeeeOJz0ZUYhsHZs2c5e/Zscf69Hu12m7feeosoiqjVaovRsePW1l90jMdjnnvuOe677z4uX758R7YppeT//D//T/7L//K/5Ld+67f4zne+c0e2ew8F7hGWrwC2EZa7UVwP8I/f/cf80/f/KWWzvLAoXjf+tM7hC47S7aEYfdpz9oiyaOe+j5OQJE+OBO2i6NCYqommaIsRtU3QFA3f9Bf6l0xmK52cJEqJBzEPnnoQzdUZhtt/fPfcPQ4nhyiKWJnlD8OITtgm6IfYioPveJS8MlWryiSdrKTbw2xUTLUZbNlfIY53Fh2acTw+0eUqmWUE4Bvmiv1xkASkMwLTtPe2hk+WrfLWkTvXcJhEwebVXNOjHxx7/VKeSSPVaauz/xbK4jGJZDQaoYSCUrWEaZ2c4941CrYpeBKKcaZ4izNfxSnTm2y+/p7h0Y42d1em0ebC0jasrWSm4pToj9ev6CvXr1NPBR17qXhSVZARYn+f7OJFrB3b912XMJlSKttoio5SqyDO/kWyt98m6nRJbYfWhYv0JhPC6ZRms3nCgjVKtxe0vu0ShJs1HbZpMpxOigwf28a2bSqyQhzHhGHIcDAgngQkMl8EVmrHVpPLrrfxOs2x6R7PCUzZ8xhEY0z/KNhxMol3OLOtwtD1nUGPrmWdcDc7jmBpn1JK2p3OzFyiiaIouLa9VRMF4FgW4yAousLzbB9NUC55mJpBME13kpHbyZspeQ7t7i4ysnsiYhdx2ua8Nh8da9QraH5eELRUKQhakn2icbAoinjuuefwPO9TCWH+OFAUhXq9Tr1e5+GHH2Y6ndJqtTg4OOCtt97Cdd2VzJcv8ujYZDLhueee48KFC3c0vPG3f/u3+ZVf+RX+3t/7e/yJP/En7th276HAPcIywxf5w7cLmwjL3MKv2Wzy+OOPf2ri+rlm5XbISpIl/OZrv8lz+88BLIr9uc5EVVRG8Yg4iwv72h0id4GgYlYWDl/zdHtN0QjmwvPZ3+t2fWtxjYRxMkZTNFrjFoZqUDJLRfEbjVaIgaEZWKp1ooNRbKawoJyMJ1w+c5lETZmGU1zDxdEccpkziIYr7lpN56Tr2fy4bdvCti0umWV64z7DyZD2QZssy7BMi4pfpeHXUTWVNCt0H8NocyGmqzqWZm0dJ3N1lyg9CoE8DlM1qds14ixhz2uS5xlxnhImEfHsNZ7hMo2nZBsMIXTVQOZs7LDpmkGaZSc7ZvU6XL2KG0v66uyxXEKeIff2kEj6/T5GpmOULHRj/diPozuryepLsHWb7mT9Y1B0ZjaRGdjuSuQa9lZCUHfrtI8J8cXBAezvF4F9Fx8mKLtrQxIBFLaMeSjKZsvahZBm88sBTN1kFExXuiwAXD4Dl89Q96p8eP0apqVw/+UHURSVNMmYhiFJmuFZ9s7OxrYwSyg6H8GxESohBKZpYpomzXqDIAyZBgHBNGDQ76PpOrZlYdk2uq5vtZSF29OVzEfKoiReSbF3yjaOUazeT3Y4e5U8l3avv/U520JHAWzLZDTrwOR5TrvTQUARyDm7r45t7SQswTrhv5QMZk52pmkU7ounPPIEBoPgxG+P79lEne0GAvmO8WwhxM6RMt9zGe1wb7MtY6ezWp5lJGlCZxbcKgxBperz+KMfT3A/Jyu+79+1AdVCCFzXxXVdLl26RJIki8yXF198EWBldOyLlPkymUz4yU9+wrlz5+4oWfmH//Af8su//Mv8xm/8Bv/uv/vv3rHt3sMR7hGWrwDWEZabN2/y2muv8dBDD3Hx4sVPXVx/O2RlFI/43gvf4/3++yceW9aZ6KpO0ynGenzDZ7QhU0NV1MIxbInUHE+3d3QHT/eKjslke8fEUA0szVqI+uMsPnIPm3VfLNUilSlhGq4t+KWU9Ho9ojjikQuPMMmm5LN7M4kniwDMRTjkTP9yOFk/ljRH1aoyjEYoukKlUkFKSNOEIAho99vcau3j2z6u46IYChWngqEaSCmZxtOF2N7QDEzFYHzlDZQPPoTpBMoV5OXLyGYDKMhKmmUbyQoU1+LmaP31VBWVklVCQcHSbBQhyGUxrpRkCWEaIclxNJtBsMH+WAhczTnZXQHkuXOo73+IuHFIas50E0mCLFfIL16k0+mgo+FWfNhQKzTcBu0thMPSLIIN41ymZm4lMw2vsVGbUrzeYsL6bSsIxkvib6RE+clPEFeuQJ5jZdB7/W2USxfJv/3tE6TFM1262zo7F++n2+kWGTJzS+cknbmencUxrK1Wx6qibdWe5HnOB9c/JIhD6vU6veX7p4DhGJR8B9sxZpEqKZMgXPn+Krv+Tu3JeFfAousRJwm+5+F7HvnMMjkIQ8atFoqiMh6O0AwdyzTXfnf5trMQom/CaEPg5zQKmEYB9VKZSJlSqrmYmkkcZQxHU+SSQcImQj+Hoes7bZU9xyEII7I8p91uo6oq9WNOeNEOFzLTNBakZxN8p+iMzB3NVHOmCxEq41FEEMTk2W1YCO/oKJU8Z2fXyTZ1djhFk6Tbx4MVRZzYj5QSzRCc2qtu3/gahGHIc889R7lc5mtf+9oXZqFU13VOnz7N6dOni4mHwYBWq8V7773HK6+8QrVaXYyOua77eR/uRkynU5577jnOnDnDAw88cMeu/w9+8AP+6l/9q/zar/0af/bP/tk7ss17OIl7hOUrgGXCIqXknXfe4cMPP+Spp56i2WzuePVHx8cR1++P9/lbz/+tnQ5fju4ghFjpNti6jWd4JFnCIBoUYmjdQhPa2g7H8WOdplPGcdE5KVuFp/68izOHq7vk5Ju7DhKG0RBhCqZp8aNes2soQmEcjwnTkCzP6Ha6SCSPX3ycXthn83K1ZJoEqEKjNTlECIWyVUZXDLI8ZRSPFiNyhftYD7lkVyQEK0JkU5hMphO64x5xFHGoHy6EyLpuYGg6FbOCKlTSF19AvvQCgZoVLk7XryMOD8iffhr7wgNk+XayUnSqNmtSFKESp8kSOTt5LZtuk3E8oez4qIqGQuGqJaVAkmMoJsNwhKVbxGm8am+tqpR+4d+h89pziOvXIc+RZ86QXbpEe1yMCZ09fY5Jsr74snWb/jbCsUUMD+AaLt14gwWyojHaMmZWsny6W7QrdW/VIllcv454993Cwcs08VOVVp4g3n8fcfo08thstqWbm93BAP2pbyKvfYBotY4stBQFeekS8vx5XNPdKu6ueZu1J1mWMR1OiNKERqOxtlhIspT2qEe81I1ApRjr0otRTF3RCeOIaENoZclxGW4gCnNEx0a5FEXBcRwcx0FKcAyD/dYh4/6EPMuwrOKzYtnWwrI32jH6VPa8ncRqbt4wnI5hFnqo2Sol20NFIwrTnYGTt9OBSZKELMtot9touk6tWlt1wrsNzYjvOETR9v1kx8hIdkwXUqq7aJqgXHYYDNbvr+y79HbYJhsbuqLLCKLtBGydg9hxbLJwfvyhj+4mFQQBzz33HNVqlccff/wLQ1aOQwhBpVKhUqnw0EMPFYtiM+H+u+++i2VZi+5LpVK5azpI8+t/6tQpHnrooTt2/X/4wx/yl//yX+Z73/sev/RLv3RHtnkP63GPsHwFMM+YieOY1157jeFwyLe//W08z7vj+/o4epXXWq/xd179O1iqRcNu0I/7a1Ofy1aZaTI9MSIUJMHCilhTNJpuk5x8xa1rHXzTnzktFa9N83RFr1I2y5iaicwl/ahfpNVvQd2u0wt7i+J5mXyZwqTf61M2y5zdO3sb4ZJFbsk890TKfEVzIoRCySzj6x5BGqIqKumGlVhP90jyBM3WaNqNo9XkIGQ0aqMoCmWnRO5K0miE9s6LYIJml/FyFd1QkL0e2StXmJ67n3ArWanNzns9EVOFiqM7W/UzTfdI9xKssVluuA1uDle7N6qqoKk6mtAom2WCNKD29LdRnlGQCNIkYf/WPg2/xoVTF5jEASXVn9kiS7I8JZc5aZZhKgZBvr7DYagGg+nmArLqVOhuEdrXnAqtLWRH2dTyoRiLHAarBZa4dq0gFoaOmUNXkQV5SWLEhx+uEBZLt+jMLJbXwTRMOvEU+Z1/E/H+VcStW0Vi/PnzyAsXUFV9a3cFYLrBySpNU9rtNqcqDTzjpKvdHDWvtDboMYgDgjgoRP5CkIoMwzVwTQdN0ciSnEkQEsUJpmEUncENcCxr68iZEOA6DpVKhTKQJglBGDKZjOn3e+i6QbVcohOnaLq+Uda9yWFsDkVR1hoHpFlGd1xcg3q5gqUqeKZDlsBgOD3RLd/lAGnoOu3+gHarhWmaVKrVE8fsuy7RDtKzq9OjqbvzTDRN4XBQfMcavo5vu5ArDAZT0iSbbWd3WTLdkg8Es27QDmvlXQ5i247loxKWIAj4yU9+QqPR4NFHH/3CkpV1sG2bCxcucOHCBdI0XWS+vPLKK+R5vpL58mloZG8H8+vfbDZ5+OGH79j1/4M/+AP+0l/6S/zNv/k3+Ut/6S99qe7r3Yh7hGWGL/MbbT6L/Ud/9EcYhvGpi+ullLdNVn78wY/57bd+m1zmTDjSk1SsCrqiM0pGhElI3anTC3ongiKPo2yWOZwckslsZTvTZLpidbzTMUzCIBrQUBt0wy66qtOwGjN9ycnXbRL/QzGzfLNzE8/zOH/qAt2gR8Wqois6URqeyEdx9CKHYrRFQyJljqWa3BjPLYkFvuFjaRa5zBnHY6IsomT4BGlEkh+tNq6uJktEIgiDkOsH1zA6HeqTCbJUQpLTU4vr7ZRMmA4Ihm282ikszUIgCsewJCRIAqp2lV7Q3yiQFwjKZpnulq5Xw2nsEOmX1hKCLM/J8gjTNLk1urXyPonjmHang+u4nKmf5cZof2Nja89v0p500XUNVaioioIijv7Zmk2UxSBnOSEzD2TBbFREMaj7yuweFaOMc4tjBZVxOEUTKvn+DeRwCLaDPHsGVJWaU1kUqutQd6snAyiXtAvlTOFQXQpqOaZr8C13qzVuyfZoxV3QNeRDDyEfemjl8ZpbpjXYTLbKTmmhZVhGHMd02h18z0Wzza0ufeuCCpdRcUsL0hWn8YprHwJs3wIto1kvF+Nk04D02Kq/ZzpbBeqaotKb2QwLljqVvk+W5YRhgCIFt1qHqKq6cB1btkwGdupbKp5/ZBu8AVJKgihcjB8KQ1B2PAzVJJzGhFFCf8fck23ofPDhh9iOU4il1zwn3UF6VFVlsGM/RfjldgKwvNoeJwmdpA+A0ASVsoeu6qTRbke0Xbof37WJdnRYbuf3ad37RNc0Hr58budrF9uYjSE1m00eeeSRL32tsbe3x97eHlIWxiatVotr167x+uuvUyqVaDabNBoNPM/7TK7FfAyv0Wjc0ev/h3/4h/yFv/AX+J/+p/+J//A//A+/1Pf1bsE9wvIVwHBm3en7/qdmnzjXq9xuZyWXOX//zb/PP/vwn5147LjO5Ix3hkxmeLp3orhfxnHScHw7ruHi6A6a0DiYHOwkP8uOYVEaEaVFsbdChOIpjulsLLIn0yIQr1FpcLp2ms5M89JfcgszVAPfKBW5JlnOJJss9rX5XPc4XDEckIzi0Yqep+k0kBJM1SLMwiJ75thtcXQHNAGa4LRvFV0aRSGNY2KRoqoKHjoyzQk1kIqy1jGs5hTJ9TW7ihAKeZ4RZTGTZLIgMHW7TntLrk3FqpywFV6GpVkEcbTxvumaQZytjocFQUi316VcKlGr1JnGwUay4hku7Um3IBlZTsJqR63mVE90dpax5zXZH64PxixeXyPod1D++R8iOh3UPEeToJQriO/8mwivQsX3izwU5sGJR0J3IQVVr0yaZ2RpRpwlZHt7iOvXMZKMrjJ7bp4XuS+nTi32bWjGIsByHXbmnki2Wt5CoU06jrltt+/7XDx730K4vA6FlfOO7JUdq/yOaa2OzGmF+NrSTfJMEIQR43BXdod/5IB1DKqq4Louvu2iGAZhGBKGId1utxhFtSwsy2Kv3tg6egeg7Khv1DX3RC4E7sXnfK9RI09BZoLBaEp6zEI5ThKu37iB47qUSqW1ZEVTtZ1kpOJ5dAa7XLt2Y5NQXkpJfzzCdxxG4RS3YuGYDkmUMxhMVxZBXGe3I9ou4gswHG2/P65jreTpzPHQ5XPo+u2VTnM3qlOnTt3Rlf0vAoQQlEolSqUSDzzwAFEULUbHrl69iq7ri9GxarX6qWS+hGHIT37yE2q12h3tbP3RH/0Rf/7P/3n+h//hf+CXf/mXv1L39fPEPcLyJcdcXA/w4IMPfipOYB9VXB8kAb/68q/yZvvNrc9TlMIZbNk+2NIsfMMnlSmD8P/P3p8HSXPf93346/vt+5p79jlwEABx8gIJgrJo2ZYl2bJIipZ8SZatlBxfSkmMrdhVchJXlLh+dpTYVT7KZVfISkKpJEdllY6iTB1RIlKSJSumBOABQOIiAOJ6rt3ZnXv67v790TOzMzsz3QtwQYLUvqv4B/H09nT39Mx83/15H0OyPEMgaNvViWGzaIat2lyfXkdTNFp6C2BDgrbc3w4SsiBCUkoaRoNJOKFjr09fVpPALncvU3PqO/00URpx6PdomE0m8aSY5thFK3HhpTkmLwJB2+pUnmvTbHLk95eFllAsTFzNRVc04iwhTZN5cpe/3Ld26RKy3sAcj8gcFy2BNI6Z+WOiC3vEaYIZJ2s/2J5eYxSOt8ZOCwS2btMwmsRZRNfpEKcJYRoSxMEykcrVHabRdOd0RpUKmtR3BiwAuKqzdo0n0ynD4bBoT7csbNVmMNu+6BICBHInGVKltrW3ZAFHd0p9LQ2rztG0j3z0UcTBPpgmmaISZSmM+nQ/+x+58aFv25nsted12R+deM8FcO8daC+/QOf6EVNNQclBSTNotkjf935yyyJOU2zNmntLtp9f02lsTm9W0HIbHI13L1gNTV/zKkAhwzg6OqLRaOA4TqWpu2a7BNHuY7B0k8G0nNCcXKjmedFQv2iprzsufhTSarsoQiEIYibT9djsqgcZrmUzns3mCX1FZHJOMUkKfJ/xeEwWRPhpgmUVBOZk4tguOdgqGq7HYUk5JxSls/25x0UoUPc8DEXD9xN6hwMG/SMc16Pu7jZCFz0w5a9TVWdymtSumuswqkrtmhv7p0GwLLDUHJW645KngtEwIK7otZFSVhKwmudUGvuLSc4mYXnnvXeU/t0CizSqy5cvc/fdd/+hX9QahsEtt9zCLbfcQpqmy86Xp59+miiK1qRj5rxA9svBIo2t2WzywAMPnNn1f/TRR/lzf+7P8WM/9mN87GMf+0P/vn4lcU5Y5vh6u+nyPOe5557j1Vdf5X3vex9XrlxZkoqzfI3Xa67vzXr874//7/ixT9tuF/0qW/wquqJjqdZG03yQBARJ8SOiSpW21UZXdG7OylO0Fp0oi4V+nMZLH8nqxCSMQxRVOU7/2gFN0bBVe+lT8RN/ua+6UWdwOCAPcu68fCdSVUrlXQBtqzP3v6QkWYy/NISvS70EstL/ctJLs0CSJQzmpllHdcjyDCkkHbuNQBCkIdNoQv7ge+CRR3CGE0QumKmgdDpk73gHYRgyGo1QVRXTNOnWugSxv5WsQBHh7GgO1+ax0qsQspBYuZqDQGJpNlmWEc2TwuKV0IOa0eBounsx23U6HEx689eE0XDEdDal0+lg6Dp7Tpf9ktSvjt3hYFIy/bFq9Er+XZM603z7BEJQLCyZzhDXroGmFz4TAKmg6iaj4SGi1yPfEoKhqdpuI76uk/7pP82NLzxF9spLkEN+261k998PzMCfoUiVWTIjkTGKqmCoBrqqoQqFIndMIBFFFHAUbpUHVcXM1iyvkJPNMZ0Wk8VWq4VlWdRtb6tc7PgaiUqjvGtZ+NHuJ+u6qlUSGk1RGcYTjuZSJChM7p5ZJAVmSc6gwodhGeZGFK4ADF3H0HUa9UbxHydjfD9gOBwWnxfLwjJNNF2n6XmVE4td5H153Iq6ZurPc5bXOAgDxv6Qu+++A103GQw3vS/Lv6vIqZZiMynrJOqeu9WcvgrjFNG3wZYghThJ6M2Jm2aqYKh09zxm04jpdHMSXZj2y4MKjFOY9uMdUdHvvLfav7IoJbzlllvONI3q6wWKoizJyX333cd0OuXg4IDr16/zzDPP4LruUjpWq9Ve9/VbkJV6vX6mAQdPPPEE3/Vd38WP/uiP8vf+3t87f1+/wjgnLF+HSJKEJ554gslksjTXV7Xdv1683n4VgBf7L/KJK59YS4daJQuTaIKfFO3paZ4y3NH6voCmaMySGQezg+P9KBrTeMosOn7aZ6gGuqLvnHAsJiaL7YIkoOt0SbLjKc4qbN1eelxOIkkTnn/teXJy7rp8F7nIsTQLR7MZBqM1L8kCXbvLwazHdq1SMWWZJT6e7jIIjqgZHoZqkqQJo3BMmh//sLatDkf+YekixNWKRLVwrv9fvVZCCNxb7sTp3ol86RWmsz65rZNfvoitadgUT7HDMIAIXrt+jZRkqeM3TkTAduzdiWF5nhGnEYFQC7naCShSwVRNGmadMInZ8zpkeU6SJSRJQpCGJGlCy24uyUaeQ3/QJwzDopBQLZLfDiYl3guzRm/bvw+GiN4BLd2j1/FhR9Nz2+5wWLL/jtspOlmisOiD0dalD81c44AQdvhLGma91KjfaF3g4L0qvPc9W/+95TQ4mBud0ywtYqxXbsO22+JgfBzPrRkapmagKRqKUIrOojDC1A3CKNq4t6QQy4VynudMxhPGk3FBFo2ikFOrMFI33XrpBEcgGFdIrOqOx8Fgt+RMSslwtt3kvijx7NZb5HpM3XQxFI0wShlPZ2sPe6p6OxqeR388wnVd3JXI5CAI6PV6xecjigmydGdk8jY52Mb5ui6Hgy0BBYHP0eERzWYTzdY4HPYRmqDR8NCkij8rpkqL16n0pnjucoqzC5qsXkpMK2RcRaFkRWqXbXM4PL4udsPEMWziaC4dy3JUpfrBWVDhb1HU7QECl/batJu10r8dj8drpYTni9pyCCGWn5U777yz8LwdHnJwcMArr7yClHKt86WqHymKIh599NFlz81ZXf+nnnqKj370o/ydv/N3+G//2//2/H39KuCcsHydwfd9Hn30UTRN4xu/8RuX5vqzJCxvJAnsc9c+x8984Wc2nsSf9JlcdC+S5RlBHOCze2FQM2oEabBMkdrlV8mznGk83bogXoWne8RZvNxuNXWsYTaQQjKOxhiKQZAEG+3xQFEu1jtE0zXuvnw3o3BEmqfHZn8BNbOGoZhEacQoHJ5K3qUrBoZqLM9vFI5gPrEp0sIKAqMJjd6sV0pWPN0jjKOtxw/FdYyzhJEmmb2tBbSQUlLTHHTFACGIkpDM8EiyBNOzCMOQIAjo9/vkeY5hGFiWxaXGpbknZbcJ39NrO4lkmqeYmsnVEt+IZxZJbw27hkBycHMfR9rcdcedIIoFeppmO59WK0oRsbx2zfIcceUK8oUXUKOYMJMotk723veR33nH2t+risY42L3g01Wd/iIi2fXA0AtiMl/Am5ngKAtB08gXT+ZXYGpmacyxrmjH+992fkKWTjaA9QhhiunjahJfx2stPVfSENiahaEaKFIhz3J0qbM/6C/7GfyZv9Zer6taaZgAHCco70LDrdGv2MdsRy/OAk3H47CEFAGEUUiWZQxnx4tiqUkatosuNUSusH9UHpUuT3wfngy5SJOEie8znc04StOl78U0zaWO/zRysG339Gw2o9/v02q3cB13SUYKj8jxOVk1A9dwUITGfq/8fE7jLagicbZpMgvK358iNrmcSJzELAiW+9VslZrtIqVA09Sd0jHTMBhXyNcarrM1QKBqurIgK7fffvuZlhL+YYKu61y6dIlLly6RZRmDwYBer8fzzz/PbDaj1WotpzO2ba/9bRRFPPLIIziOc6Zk5dlnn+U7v/M7+Vt/62/xYz/2Y+dk5auEc8Iyx9fDDdjv93nssce4cOECDzzwwJpE66wIy+s11+d5zqef/zS//uKvV+67a3e5Ob25/CFe+FXi7LhfBQrJ0yAYrPkzTmIaTTEUg1E4QkpJ224vpyInSVPTbK71mqwiyZKl7KtttYmzmLpRnxOO0XKhuzAXO67D2y++vZBtnVxPzLtaYIRAsGfvEWcJXbu7kWK2gKUWvTO7JGV5XnTDdBWTa9NrgMDVXSzFIiNlEk2XnSk13cOPw53N8VBMo6SQa1OXLMsYhcdGX1MzEblAkQodp410Jcn8yf3YH+P7Prmf8fTRM+iGhmlaWJa5sfBp2x16JX0tnlHbWgy5gCoVsjxnGk6LjonDHopUaLVbS+lby2pyFPaRisRQi6mBKtW5sV2gKzphHGJoBkkaE6Ux8XPPIp97DlSVhlmnp6bg+8hHHyVtNqFRXx5Dw6yXeldqhnc8vdFUsvvuRz5+BfwZqBreLOVAzcjf/nbwNmPGXd2lV+LrqFu1YnqzAy23tZyubEPTbiynC9tgqMYaYcqynGk4W/Pz1EyXWPhMgymaknPHfXejKhpRHDPzA+q2V5ouZupmJRmp+nr2LHdnSePy2CtIkWvaW2VpWZ4tpWadWhPFzPAsF1VoBEG0Fp8rpWRYGpksuNjp0hsOcGs1kjgmCIKlhE7TNCzLwjFNcnZbR1RVZTBeJ6LT6YTBcEi708Y0TJquS2+H7MwPQ/wwpF2vI8yElu0VKXaTYK0Ms/CmVEw9HKfSv+JY1YSl6vdJCFHaFRMnCVEScjgbHKeOSW1DOuY5ZmlaHoDYkYhQ5l8ZjUY88sgj3Hnnndxxx+7tznF6SClptVq0Wi3uvfdeZrPZ0rj/3HPPYdv2Ujpm2zaPPfYYtm3zrne968z8us8//zzf+Z3fyfd///fzj//xP/66WCt+reKcsHyd4OrVqzz11FPce++9vO1tm0+BvlzCkuf5crICpzPXx2nMT3/+p3lp+FKpX0UgCg/BiUnDql9Fkxp1s46u6hzMDkrJChTkp+f3CpKTwWFSLNqkkDStJqpQGcdjXM3l0D+s1Itviy3WFI2aXmMymXDz8Ca1eo079u4oXYRD0UVSN+rcPNFeb6pFASbkjMIxutRI8gQ/Lv+h79p7K9cuL1K8OF40WapF02wWnSNZvpOwLJ6ar5KVbdtIFGZJsYg5SbIcy+G21q2QQRhHDCcDDkdHDIfHizHTtLhcv1RaLmmoRSFkWSrUwtcSJzG9Xg/TMGk0G4j5Mq/rdpZSpyzP1vp6ANpOm6ujaxv7VV59ESPPaEqLQEI7U5C6ixiNyK4dEN/yNtIsQ5Xlnom6tSk1y++/j0yRyOeeoz4OOPAMsre/nfwd79j4e9dwOCzpdDEUg6NpiQRKKIxKOmOg2idRs9xSM37drjGYDDk8PCJNEzqdDoPVviBVEIuQVrOGKhSSNGPmBwTRygKyIm65MPSXy6MMTWfM7oW1oekMSogZzL0pJbIzKQTD2YQkS9dInu5oeKaLQKJkCjf75ROLhR9oNTLZ8zzSNCUIAuIo5osvvoiUcjl5OSm1rDvrcrDxZMx4NJp7tgoZXpVjsZDyTUjTbE2O5zXsopA1TBHIyuJKQ9eBcsJSFbhQSNMqfDKuu0HSTsI0DMYzf5k6tsCqdKwqwhm2p5nZlsldt1/cuv1wOOTRRx/lrrvu2vr7e46zgW3b3H777dx+++0kScLh4SG9Xo/HH3+cOI4xDIPbb7+dNE3PhLC89NJLfOd3fid//s//ef7pP/2nb5kSzD+sOCcsX+M4aa7vdDpbt/tyCMsbMdePwhEff+zjvDJ8ZfnftvWrKFKhZtQqZVFpnoKAa+NrCCHWSEdwYkHfdbo7E76yPFtKkLpOFz/26VgdwjTc2WJfeEw29xelEV+6+SUmkwntdpu3td9GmqXUjNrOfWlSw9bstVLJBYLEJ5ib9+tGHYTAUmwszWYcjrZOgHYd2yoMxWB/uk8y97poqoarFZ0HURoxDotkspOTlZPQVb1Iy4p2P0HWpErfHxxLzgxodVtoQiWPc8JZRDyI+dLgJaQhUXR13l9xvA9VqOhSYxwev47o9RAvvgCDIbgunfvex37ziDAKOewd4rouXs1bkpXCl7J7smCqJiN/x+InCMhUyUDNCOTKgt7MycMBmd9HCgVLNUlEhFQluqKjL6Y3spjeqGhorkqSpnPPUEKSxeT33kt6992kGKRZCDs+T7piMCmTRVpu6XSlXZH8VbdqDGa7iYAqlUoTOzkcHPQQArrd7sZ3Q8tpcLhF0qZZGu689FFBYBkG/g7SUrMcDuLdJECV1X6PmuNyMCgrks0rJzQNp7ZV2hYl8ZJYtrwGdk3F0W3SJGc4Xje7a6q6k3wpioLjOHQuNzkYHBGEIYHvr0gtzWXqWDbvlsnJGY/GTKYTOt0uulZIgFVFMqxY3Dc8j6PR5rGM/dnSL3Sh1aKtu0W542hKkmz+hsyC6hLHsskIzCVYw4rABLVamrZKhFexkI6pikRRVNp7DuSS0cDfkI7tShB7x71v2/rbNxgMeOyxx3j729/O7bffXnmM5zgbqKrKhQsXaLfbTCYTbNum2Wzyyiuv8NRTT1Gv15fTF8dxXvdk5LXXXuPDH/4wH/7wh/lX/+pfnZOVtwDOCcscX4tjviRJePzxx5lOp3zwgx/EcXZHV75RwvJGzPVXx1f53x7939Y8JYt9rf63tt1Gl/pGp8dJaFIrYmPnyV15nq/5HjzDw5x3jWhSKy0ehOO45MV2i9fXVZ2aXlvGE+fkNMzGVkKQ5zn9fp8wCrl44SJtt82NyXEHx2L6IoRgFI2IkghTNVFQSlveAZpWq/C/rBAUISR1o46hGERZzCQa0zAac7N+yb6MJqNotDaRirOYfnh8/WzVxlRMpFCwVYsgCZhE6z/YmqJhSKM0VthQTfKc7f6ePAEVOnsd+rM+fhDg+z7JLMGQOnW3jmM7aIaOqZrsT/aPz/3qa8jP/T7EEUiF1o0BR9duEL/jHfRqNRr1xtq9r6k6YRyVTg9M1VybBKwi73Ro3JxwYK78/XzSkzcaALRXjP5Znq1NA6FILbs+3uxkURSJruo0rSZBEtHBQwhBluWkWUqcxARxiGu4HJV4UyzNpFcyfZFCqTSpb+tNWUVV1LEmVZ770hdRVZVWq7X1u2HXhCxOY/qzIW23sbyOmq3h6Daa1EiTjInvE8Uxk7Cisdyp7exNWWBW0SHTcOqVpKeqOEVTNfqTQro6mx+z0AT1mocuNcIwQVd1ehURwmlWlN5apok1l4bFUYQfBIzHY4aDIUdHfQzDWErKioCJ4+SruludQrZL9nSMnOF0sjSoC5XiXBSd2TRgOgtxTlHiWLNtDl6nN2UbxrPy+9nUq9vta67L0XC0nPhsk47tShB79xY52EKGfc8993Dbbbed7kTOcWZIkmTp2X3wwQdRFIV77rlnGXBxcHDACy+8gGEYa50vVeTj+vXrfPjDH+Zbv/Vb+Tf/5t+ck5W3CERepQn4Q4SwQtf6VsJsNuPRRx/FMAze+973Lg2uu3DlyhVqtdrrMgK+EXP9k/tP8pNP/mRl8WHNqBGmx2WMllbIoeI0ZhgMl94QW7cRiLVksW0w5sb0KI2KlLGsSBk7mfC1mHBUJZCZikndrJORbaSOpVnK0eEROTm37N2CqZvlpn4BXauLRBKm4Zof5yTadocj/4i8pAtCSoWW0STJ02IhdMJPs0DLajEIBsfXYIso3lRNJLIoVFyBpqi4uosqtWVT+7ap0HJ7qaNLfasPZ4Ga7jE7EYGc5xBFIb4f4Ac+NekRyBDLsmh6TWzVQP+5X0T2+yQ1jzQHX8kJZhMSKYm//dsxvfXUnqbVpD/bvZjfc7vsT3YTvdY0Zfhrn4YgKEzyWQ5JDI0G6bd+G57XZBLMdoYbGIpBmmY7o54VIdEUnSDe/RlpWU3iNF4mdRXXKidOUsIkxNHL5WIdt02vhGx4plNKaAQCUzN3xgjHSUwyiQiyiEajsfW7wTWd6pJGy2O4a9IFdL02eZoDkjCKmcymGwb9mu0xKvGN1GyX0ZZ0sFW0vUYp6VEVtSgULZEodupNesNyOVi71oQMRK4wns4Iw3V5pq7pxElcSrYbjsurN24wGU9IsxRVVedSS7OYViJo1esclRAWIQWqVHZG90IhwRqWdMXYhknbazIa+4xGm+/L8ng9l0FJEpkUAillqVTrNB0u3WaDg/6gdJt2o741WW0B2zSLPqBZslZYqSiSH/8HfwPLNJbbHh0dceXKFe69915uvfXW0tc9x9kjTVMeffRRpJS8973v3RkOkaYpR0dHSwKTJMmy86Xdbm90vty8eZMPfehDPPzww/zkT/7km1JoeY43hvMJywqEEJWa7rcC+v0+jz76KJcuXeL+++8/FftXVfV1TVher7ke4DMvfYb/+Op/LIods4Q02/5620zzq/4CTdGoG3VUoTIIB2tPrrdhQVAWMqzVnpaG1UAiGYZDNEXbGUe8CkuzkEKueUxszcbRHWbBjBdvvIiqq9y2d1shyahIIGsYDQbBgDiLl8dVM2ooQmEaTZnNO1fK440LKFLF092NLhZVqnh6DVWqRGmEKlSO/D45GeLmTcRzX0T0++SmQX7HHeRvvxvLcCAXzOLNp5JxmtD3ByhSwdUdhsEIUzWwNQdFFCb7STQlziIUqWKp5tyYv+OaqjZhGm0s4oUoCsUMw+Bu6+1cH94g9TPG4wn9fh87imj5R4i6jqZkmJnAz2N0qdIKE5REJfc6y+mEpdpr05mTqJu10r4VTdGZepLsj/0xxBc+jzg8AinJ77yT7F3vQug6IhflsdG6y2FJZ0zbabM/3k2YOk5re8zycv8O/aCPbRUkXREKQkiyLCWKY4IkqmxZ15Ry30HLbXI43lF0GkUMjo6wbZdGvbnTGG5qZilhcQ27lKzA/OHAiqRM0SWe6aIpOmmSkaZ56aIaQK94mHOaCOGG61WSkSjZHWYBYOrGnBQd3ztew8FUTaIoZTSeUrPtZefILuRCEEURUgo63QvEcUzgBxzOI5Nt2yEMg7nUcvtvQ8Otjiquum6zMEBRhozDGZqjULO8QmY1PJZZaZrKsIJonCY2+TQdLvEWudoqhIBxhTQtJ+fGUfHZ1JwidYxccqHRXCMrh4eHPP7449x///1cvny58tjOcbZI05THHnsMIUQpWYHi893tdul2u9x///1MJhMODg64evUq//yf/3M++9nP8m3f9m1813d9F/feey8f/ehHefDBB/mJn/iJc7LyFsM5Yfkaw2uvvcbTTz/Nfffd97r0slLKUxGWN2KuT7OUn336Z/lPr/2n49ebm9sVoTAOx8ukqq4z91yU8MI4LWJm92f7xdNCq4UUcimtWkVlwtesWPg1zOIpsCrVYmKzYxJwMi55gVk8oz/pc3h4SM2rcc+le4r0oBOyt5PYVuK4mjwGxRSpaTYJ4gBVqiTZ9oWPJnUszdz6mkmW0A8WaWZdhuGAullDf/U66W99jlEekBkaYjxGPP4E5tgn+4YPbpznKlSp4OruUjoVJCHBicmZozm4ukuWZzSlwjSabUjCdEVHCEFYMlFomE0OZ0dLE3KtViNJEqKDA3JykijCyyVHWgbkxIbCQCRk6Zh8Lu1rWg32Z/tomoqlWWhSQwqFPC+Mtkkak6RpZezz0fQIuh3yb/6TEEWgSJhn/3ecdinhaVqNUrJiaVbpv0spmEblshZdM5hEM2axv5Vsdt0Ow9mIuumgSX0uOcsIogg/CrA1qzQqGdj5XgVhwOHhIXdevJ1I7P4+KeRR5a9h6SaTcPcC0lSNjfSwNMvWfDcdr4UjNGzNIssF05m/1rGhSllJRppOrZKMlE0ioDDsV3WIeJaz4bEY+9NlWIBqqWimoKPUmUx8gi1GdU1RefGll0jSlE63iyIVNFXDtmxycqIwxFQ1rh/sk6YZhmlgLSOTj3/uT/OQa1IhwbIMYynTipOUw/EAWEjHXHRpoKJy/aDMO3S62GS/QlJ2skRzG2quU2nsdy0Lf+7JiZNkOXX7E9/wruU2vV6PJ554ggceeIBLly5VHvs5zhZpmnLlyhXyPOehhx56XaRCCIHneXiex1133cWtt97KnXfeya/92q/xyU9+kiiKuPXWW/ne7/1ewjCs7Hw5x1cW55KwFURRue79q4k8z3n22We5evUq733ve2m326/r75999lnSNOUdW9KIVl9j1VwvhKgkK7N4xv/x+P/Bc4fP7d5IFCZyV3MZBINS2RDAnrPH/nTLU3IBdb1ICptFs2Lxd4qEr22kwdZsHM0pIpPnErSyuOTprIgdbdQb3N69nb4/358oFrmGYhCn8Zo0a1uy2OYpCdpWh97cJ7PsVZEGYRYxmh+boZqoUi01vAN07L251yeHHORnP4s47CEdj1qmomWCPPCJ8oz+t38zbOn+gGJBU6uIFRYCGkZrSZQWMBQTR7dRhVokIuUs/Ufb4GouYRptTy/Lc+RnPsPeq4dcrevFpcxBDQJy1yH6tm9Dt2wszSqmLCWRzS27TX/Wx1RNDNUoDPII0jwjThMsxeDmqLczS9bRbII4JN0h15NITNUqDS5o2c1Sb8pqstk21Mwao2D302hFSFShlUgyBRdre4RxhCo18jwjihOmob98SNFyGlvN5b4/4+ioT7PZpFVvEZS0zu/VOuyPdhM7VVEhz0l2TGEB9rw2+yWRzFIqKFISn5hsWLqFo9uQCxQUbvbLF8w1q1wy5pgW0woPzF69xX5JdDMUhGXs7/7uswxzLXjANWws3SKOEobjKWmakYURR+MxnXZnJ+lo1gozfZIkBL6PHwTEUYSmaZiWhW1ZWKZZOpHwHIdxBQHrNhocVPhxWrUaQRTh6Ityx03pmK4VEdi7cJoOl3a9Vmna7zQb9CokY7vka//jD/11Oo06BwcHPPnkk7zjHe/g4sXtiWHnePOQpimPP/44aZryvve978wIxWAw4CMf+ciyv+5XfuVXeO211/jWb/1WvvM7v5OPfOQj5+lvbwGcE5YVxHFcqlH+amFhrp/NZjz00EOl5vpdeP755/F9n3e/+91b//2N+FX2p/t8/LGPbycXK1iY5heTAUd3sFSLMA3X5FRSSFpma0PutA1dp+gusVWbKI12yrxOQxo0qbFn7y39JfHKhGOZwjOZ0Gq3uK11W+mESFM06nodQzU4mB3sLGiEYsHV0Bsc+SULO6nRttoIIZhE49KAgvV4YyAIUH7t14oUqnmBqJ0qZOSE0yHWN/wxzAfeQ5ZnRV/LfJErpaRu1OiXkBUoQhMOZ7uPXSBomE36fn95D2hSI89zojRkEs2KlCihlE56GoOIw8/8MmoYIoUEAZmuM37nOxm7LiBouy1SJcM0za33bsfplKaGWZpJnCTk5Jiqia4YqFICgjTLSNIEVWqlMcJdp1tKNppWg/5stxxRVzWyLN8a/b1Aw6oz8HcvzLpOOeFxDIdZ6G+dMlmaiaVZmIpJGMeEUcQ0nJHnMJlOGA6HtFotbu1e5nC0+zoIITBUo9Sj0621Sg39giIlrWwq1/ZaHJZ04ADULI8oSXB0C5FLpn6wTgpMu1I+1623SntkAGzDWhrtt8G1Tvs626+rRDAbTjFVE820iePtZENVlbmUd/39TbMiMjnwAzQhmEYhlmlhWvPI5BMsvdNoVIYD1ByndKqkKMV0c/VYNHVdOmab5rLcche6rQYHR+XHchrCYlsmM3838VFVZWvJ7MVOi3/4t3+A/f19nnzySd71rndx4cKF0tc6x9kjy7JlfPFDDz10ZmRlNBrx3d/93dTrdT71qU9hmuYyffXTn/40n/70p/md3/kdHnjgAf7Fv/gXfNu3fduZvO45Xj/O511vcaya67/xG7+x0ly/C2UpYW+ErHzx6Iv83DM/R5IlSCl3Ej1Hc8hZTwebRtOliX5RDpnlGWmeVpIVRSjUzfoy4Wuxn7WEr6Aw27ftdmXkL0DDanB1chVYj16eRBOu7l8ljEK63S6XG5crE8iSNAFRJKUhConZIsFsNepYVVRc1S0lKwCWajII+0syYarmvKtFMIkmyxjkDbICoCgFWZm/N3aqkImcgOIYJ0rK2D/+G1Mz8QwPTeiMw6Lccpd8qmN3Sqcm5AWh6c0JTZzFG1I2VSjUDI88z/EMlyRNmcU+QewvpxwGBs/6NzE/+EEagwH5dEpuWeS3347rejjk1KTHa0dX8Sc+R0dHx83hloUiJZ7ulprwoTDKLwzm02jK9ESnR0FGDtFUFVMzixhoJAKIsxRyOCzxnUghiUqmPzD315SVQNpNjmaDnf+uCKWUzEBBSqY7ZFh+HGCoOtdGx+lmUhUkfoyIE+6/626kopJUyKPK/C8A5FROLFpOYykx2oUyYgfgmS4jv1gMr0afW66Jo9nkuUBFqSQSZVMRKDpRysoiYS5/q3idWbh9MZ2mKTd7PRzDIrcFsQioOQ6GahKGyTyCVyyPZVs6mCIVHNvBsR2atRrX9/fxA5/+UZ88zzBMsyAwpomUkqlf/v5YhlEpgdtWXHlSOubWPHTTYzaNmc62n38UlX9upBCVPhnXtphUpJk1XJfeFkP+u+95Ozdv3uTzn/887373u9nb2yvdzznOHguyEkXRmZKVyWTCX/yLfxHbtvnFX/zFpQFfCMF9993Hfffdx9//+3+ffr/Pr//6r5/HVn+VcU5Y3sI4Ojriscce4/Lly9x3331fVrTeLsLyRsz1v/fa7/Hvn/73S1O9IhVaVhFruloO2TAbTONpqUwnSArfRpoXcp623UYg6Af9DdO+ruqYirk1rSpKInpJsYA2FIOG2SDNU3RV3/C9LCClLKKBV0jIInp5kQRmSIO33/52TN3cKHo8CVWqeIZ3vJCfN9uPKBaRy6hjinCHwwqyUjcazJIZ8cqU5mR8rqM7NPTmMtJ5dTqEppHfcivihedxhEGi5YQihckUbIf8xFPCKItI0pQD/9r8fBRc3UNTNJIsYRJNiNP4VN0vRRdOOaGpmfWtpEdVVRzNIYsy9m8ecLF5Ec3WiC5e2qBP3fnkpF6vU6vXN5rDTcMkcVJQ2fkj13W7HIx3n4+j2cvJSpwmxOnm4rRu1shlWkwoVB1VqpAL0iwlSmJszS412nuGQ69kWiAQlYSn7TTZH+1+DVu3S5PFitc5/o7J85yjwQDfn9HpdBinE5pGnf50hO1YWFqRMBcnKePZdPl5jeJyv0HTra8VL25DWWEoFGRkWNIhA4XJfRxsLmT9KMCPAiQCVdVwajq2ZhW9KZPp2vdk06vTH5cf62qc8C5UkR7PcrdukyYpB70DdE3nbbfdvlzsj4IpzEm17mrUTJc8k0WiXQmkFIxn0yWpzxv50rQ/nozp949o1uqMJ2Ms09r5mXEte2dvzgJVWoU8zzmcDJaeI7thbkjHDF2rJCONmsvRsNy0b5tGJWHZJTa52KzxhS98gfe85z10u93SfZzj7JFlGU8++SRhGPL+97//DT+0PYnZbMb3fM/3IKXkl37pl7Bte+e2zWaT7/3e7z2T1z3HG8c5YVnBW6mL5dVXX+WZZ57h/vvvP5N895OE5Y2Y6/M851PPfYrfeOk31v57mqVLErGYUNiaXSRjVSyyTpKahcRIiqIrRZUqo2hUdDOsJIHtgjn3eizJxXzKYSgGfuIfd64oOpZqbSU/cRJz2DtE0zVa7RaZyLg+uV6kjpmNrQEAulL0h6z2w2zsN43xE588L1LRPN3DVC2iLGJ0Iuq4abUYBcOtfppV2KrN1clrLE7WMzxM1SRNU0bRmOSd76A+mBH3bhJG8yWEZZG9/yFY6RuQQs7lacfHn2Tp+lREwEX3InEW03G6hHHAJJpsTGG69l7lJKrrdHYSmiRLuDnYxx/46J5BbuZEWYSu6tiajaao5IDMJMOVicK25nArt7jWv14YKDUVc/4kWdM1BIKa4ZVKxQQCVWqk2W4pSdftcDCPSfbjGX68/iTd0kyO/ENMQy+mM1JhITUL4hA/9FGkWhoG0HbLk8M0qZV6YwBs3dqIr16FZ3hLyVqe5xwdHRHHMd29veXCNc9yIGcWzda9OorAsSxqZp04iRHSZeJPl63uq6hSIXuGU1lYWZCRkqjcU5ReNr06h+MBURItp05CFdQ9F0MxCKNkZwLa8evItUb1bWg4tdOdzwnCkiQJBwcHmKZJo9Eg3PHgJUpiepM+uqqRpAmNllf0isxCprN1UtHwPI6Gq58Zga7p6JpeBF2kCY5ucPXmTUbDIaqqYp6ITAYIK0ipokiGFdfFc9w1n8yi3BGKhK665WKqJjd6A5IdEjg4XYBAEL6xKY0kZ3x4wIMPPrizlPkcbx6yLOPzn/88s9nsTMlKEAR83/d9H1EU8Wu/9mu4rnsm+z3Hm4tzwvIWQ5ZlPPvss1y7do2HHnrodZvrd2GVsKyWQcLpzPVhEvKTT/4kT+4/WbpdnudoUuPauHhKv5BEzZLZhv+iY3d2muazPKMfFIvnhtkAisW5IpWdPo6aXiPMwvV/n085FrA0i7pRJ8+LFLKN84xCDg8PcRyHC60LKEJZ+mPW0r0Wci/VJMkSgiSoJFM1o0aQhERzedc4Gi+LGFWpUjPrKEIikBz4B6VdLAKxRfKWMw5HjOfHIYRkr3074iO3orz0IvHRDRJTJb90Gazj7HkpJA2juUxU24U9u7tWjgnFdM2bT2GyLEURKvtVZMXu7iQ0OTAZjxG+wGpYaxn5URotPUG6oiOFQpiFGJqBpVmocyIQp8UCtGN36E0P6XQ6RUpWWJRVHvQOkFLiWA7SlWQiY9ft37E7palgpmbSL5FpQRHp7Ed9kiTdGtHd9lr4cUDTK6K88zwnTCJmUWGEV6XC2C+XHDWscjmZY9ilhAeYX7/iO+jo8Ig0S+l2u8sUnrrplUjOcqbRDF3Vl9dDapKa4WAoBnmWMw2CIqq8YjJiqMYyOWsbFKlWTmhaTp1emSwNtspYc/J51PIYTSkSBVstDwWF6SzYMH833erSSrWioV0IsWH6j+OY3sEBlm1Tr9fxLKdSUlazXXqj/tr1tWsmjuEQRxmjUfmkAkBVFISqFJ+ZPCMMAvygSIYDsEyTZr3OYDIu/GQ7UHdcjkYV77OmsYvSxElCbzyg4XmkakCj5qFJnekkZOYfkzAhYDSpLpSskq9ti1aezmbc0vDeUMjNOb58LMjKdDrl/e9/P/rch/nlIgxDvv/7v5/BYMD/8//8P9Rqteo/OsdbAueE5S2EOI55/PHH8X2fb/zGb3xD5vpdWBCWVb+KmBd2VaEf9PmZL/wM1yfXS30Ni36R1UX0qiRqkcwVJuHSlF6FbaTG0ixczSVaKUxsmS1G0WhnWd8CutQ59A+LUj6pUbNqRTdLNGQ4Hi6TwC61LhGm4e5EszkRyskJ03BJIIA1WdwCDbPJJNwevwwLMnRI1+6yP9ufn6NTeHLC0VrUsRSShtks95BQpJf1/X4hE7tYQ1ys4+rFU8s0KyYwWZ6eiqx0ne5WIpKuTGHaVov92QGGquNoTlFMlyaMo8nyvDt2e+dkJadIazFjHbWh73yaJhDYqr2MWw6TcCMVyzNcpsmUhlNHkyp5Xky4ZpFPlEaEQYiZG1y9eY08z5aeF9M0kXP2UvSplC96LdWkHw92/nvLanFU4p9ZlHb6sb81XcwwDNp2izhJyObnMA1na3JJS7UqpV6majEtMYXXDJf+bEiaphz2DhFS0O12174fFFm+8PZMZ428ZXk2TzQ7Xghe9PbQTAVFKIRhzNifrH2baFKlXzEparl1DkoSyKC6E8XSTfoVU4+GU+NgdLQWtGB5Jq7ukKUwGE8qpWuKotIfV79OfyV6OYoier0eruPi1byi9d4wKks4t0lfZ1HAbO7NMh0doWV0WjVGE3+rN6TmusuCRikklmVjLSKTo4jA9wlmPofDIYZhYFom1onIZDidWqEq+UtTVYaTMXkOg+nxPeQ0LGzdIgpTRC4ZjMrJvOvYWyOiV6Gc+B1cSEr/5p//yDlZ+Sogz3OeeuopJpMJDz/88JmRlSiK+IEf+AGuX7/O//v//r80Go0z2e85vjI4Jywr+GpKwmazGY888giWZX1Z5vpdWBCW12uuf2X4Ch9/7OPL6cGi1DHLMgbRYPmU0lANDMUobUOfxTPCJKRu1hlFIzp2hzRPlyb5k9jllVgtmdQVna7VJUiD1x1vHGcxh7NDcnIm4wm5n3PfLfdhWkXXSRX5aVktRuExSVosmleN+37iYyomhxXt9bAe57wqLRJCUjeK5LEwiZBCVpr160YhtVtrlSdfm+pIIelaXTIyWnaTcTjZKuEr5Fvl5LJhNugHA5gTuEXvzgK2btMwGiRpSt2sM10hMXAsQbKFg97QUUqeSnfs3XIyKAIN0jxdu09WYeg6t9YvE6UxnU6b6WzG4eiI8WhE/+gIwzCwbRtLcbbel8vjcNr0pmUJb2qpBAug47ZKvS0Cwc3R/kaUsmWYmJqFIhQMxWA4GzENZlsfJnhmeZElgKpoJEnCYa+Hqmm0Wq217wfPcColZ1WTEV3V2R8drl1TRTsugkySFE1opVHGQOU1rVnHZvtdcE1nGbKwC3606dFY+F8AHMcCmdBtNQjDiNGWUsKm49ErSVSD9cVyGIYc9g7xakVXBAA5jCumK7ZhMpqVTxEc2z5Od5NQaxbStyCIGU+Ka2rs8OMIBIZuYOgGNcdBMQ2CIMCfzRgOBqiatkwdMw2zUibn2fayw2UX6q67NalsGvjL0IaLrTYd0yVPYDD0t/o0q0IigLVjmUyKRLzLly7xDe/Znqp5jjcPC7IyHA7PlKwkScLf/Jt/ky996Ut85jOfOSeiX4M4JyxvARweHnLlyhUuX77M/fff/6YQJyklURRx/fr1NZlHGR678Rg/9fmfWlvExmm8fLK/MNtrQmMaTyslUYZSNHMvSM1iga9KlabVXE468iwvksBOMYGpm/Vlwpcijs3/42i89sRxV2FlTk7/qE8YhXQ6HUzL5NA/xNZsmmpzradlFWVytoVxHwrSNYkmdOz20oOzjQh17e7OeOg8zxiGQ9RYw9FtJtGYltVGEZJpNGWWrP/wF9OcCUm++4e6kIE1uDlbDRIQuEYROb2IOvYMl4OKSU7NrDGJJqWLeykUDqYHxCvnvoi3zrKM166/iiUsrIa1swcFqskKFNK7somRKhRuTvbX3ge7ZtFoNdBylSiIiP2Y61evkknQjELHv2quNjSdYVDhkbCaS2/LNtiaVTnBcQ2HXrx5Ln4c4McBnuHOSVOO1CSubmOoJiIXxEnCJJyiKeUPP2qGy83BAb1eb+mXOPkdpKs6lJARS6ue8mxLQUvzbCkzEwhMzcCrFdHKaZoxms1IVqYlDbfOYEtHzOs5ViFgNCtfUJ+G9DiGvdY1ozs6NdOFrPBDxHFCXJFktjqBCebSq0a9geMeT9cbbrUHxjXtnSljC5yUwBXnV5yj6Rl4pgtZjpRiIxZ5AdssCjI1VUNzNTzXW4tMHk/GNB2XMM+wTAvD3IxMBjBXSid3oWp6BTmD6Xhp2peGoGl7qEJjMg7wgwhNrTbt1z13Ga08mUwYjUZ0ul3e9477KuV85zhb5HnO008/zWAw4P3vfz+GYZzJfpMk4Qd/8Ad56qmn+MxnPnMenvA1ivMelhWkaXqqpzFniYW5/oEHHuDWW2898/2vmutffPFF9vf3mc1mtNtt9vb26Ha7W59g/NqLv8avPP8rlVOLxZQhzVPqRh1Naoyj8YZW39M94izequFfhaVZuLpLnhfTgF0FeIt4450TnXnJpKEYKELh+vT6xiaLJLA8z2m321z0Lm4lSYupUp7nDKMhLbNV2T0D2ydEcj4tKZ6+z5glM9pWu1LepSsGhqIvpyOrsFQLR3fI8xyBLBLWSsz6C7JyFJQ/dW+bHYIkwFJNEOBHPtMThnJXdwmTcD2d7ARM1YI8J9jyXiZJQq/XwzM9mq3mMgkOBFEaMQmnZPNzqRt1xmE5MSoz8xfnLnB1j1EJ2aibdYbBiDRNCfyANErI42KCYNsWmmFQs71Sb0vN9Bj701IjfctqlsrFamZtvqjcvY+m3Sj10NTNGlGaYGkWCgpJmjAJZ2tli45i88VXXsBxHGq12gZZcXSLaRiUHkfXa5d6aBQhkUItDeHouE16W0iPZ7gYqkGW5khk6cRCVTXyLCtd7LbdZiW56njNcg9MXiy6TzbXr6LrthG5wA/jnSWMnVqT3miAP/M56h/RbDY30oqKbcqPt6oHRle1Zc/QLizCAVSpULM9ZK4wGs+IouPfxG6zyUF/97Hk5NiazrWDfQI/IMszTMMsJi+muZQVVpVB7uqTWUVVuaVr2jTsGsPxjPF497VZFEqOJxPGoxGdTgdd1/mB7/oQD7/z/p1/d46zRZ7nPPPMMxweHvLwww+v+Re/HKRpysc+9jF+7/d+j89+9rPccsstZ7Lfc3zlcU5YVvCVJCxZlvHMM89w/fp13ve+99Fqtc78NXaZ66fTKQcHB+zv7zMajWg0Guzt7bG3t4eqq/zCs7/A4zcfr5yYlJUy1owahmrgxz66ou+cLKzC1V3SLMWfd4sgCiP9Yj/LhK/5orbq+BYxw32/v/TPLHwvURItk8DarXZ1rwjFE+CO3SHOCv/LLJ5t9bgIIU5FQlSp0jSaAKT57umLqVmF12GXn2aOheTN1mwszSZJE8bheG3SUhCmxkY7/ca+zDZHfn+DsOqKjmu4KEIhTRNmiV9KQjWpo0t963WKouI98ByPC529DTIExTV3dAdXdQCBHwdMwsnWtvmG2dg6DVtFYcTf/b4oUkVXdPwTsqPCgBziBz56ojOOx9SdBq1aE9d2IYcgCZdpU67uMg53P6GvIitQfIbKWu2ryArMiya3mNwtzcTSbVI/4ZWrr2LYFqZjbd1HxylPKNPVIsGvjCR03TYHpyh5HPm7z9fWLPw4wDWcwoeVZAxnkzUZULfWLi2kBGg6tVL/iqooxUOekvNpOtXRzF3v+Fh0dR49nAqG0+nyd6Zme1w/uMlgMKDVamFZ6++BKiQIQZLtfgDhWU5lbHK33txZSrlA29vefVOzXEzFxPcjyEXpZERVJHleTEdyjiOT/cAniWN0XafdaJKK8jjoTr2+0eGycU7NBgcVzfXNWo3+aIShaXiWSxbDcDQlTVc8kabB/kGP8Xi8JCuqovDjP/JfYRpnI0c6RznyPOfZZ5/l4OCAhx9+eONz8EaRZRk/8iM/wmc+8xl+8zd/87xH5Wsc54RlBVmWEcflZs2zQBzHXLlyhTAMeeihh0rzv98oFlOVxdu7y1wfBMGSvFztXeWz48/Sp49pmdTMGq7ubsiiTrsgh0KK5cc+lmYRJuFOktE0m4yj3aZ0KEz7db1OkieVcjFDNdAVnXG4uQDKkgy/7+O6LoZnYKrmRqnhSaySn5PH5OgOcRozCkdIIbdudxKa1LA1m2Fw/KMs50WKmqLjx0WqmqM5pHm2LIjchY7V4TDY9MkIIQvyKHXCJEJRlFKfEewmK6swNXPeDRLh6i66opNkCeNwsgwIUISCq7kMt7znvl+UPDbqDW7p3FJ6/VWhYGn2ynsp5nIyE4EkSov+mDiLd3buwOlIwiJZbBcMzSRNEqb+FN/38YOALMvmcckmtmVzqXaZOI0KWVaWMotmayZwVSqFvyneTfQ6TruUJAgEjmEzCXcvVJtWYxlTvA2z2YxkEqM6Grbt4Og2pmYiEQRRxCSYYukWfhiUksCq6Uoh9TJLPSN1y5unc+1GQQDWX0cIQc300BWdKE5I44zJjmJMAMcoDx8A6NZalaSn5TY5KpnSCAS6qm+N/xUU5MzSLK7f2OfazZu02+2tT5Tbteax72Tn8TY5qNimbrsMZyUx0EIiK4iRa9qkaYZr2iRRznC0GVvdrte3FlcCpGmCHwRYisqNwx6KqmLNwy5WI5MBWrVaZcqYZRr4we4J164pjSIldcdD5ippnPPyq1eZTCZ0u92ld/SBu+7gh/7ynyt9/XOcDRat8vv7+2dOVn70R3+UX/7lX+azn/0sd91115ns9xxfPZwTlhV8JQjLdDrl0UcfxbZtHnzwwTNrbF3FG2muvz65zr/9g3/L1f5VfN8veisUtUiBsSwc0ynM9vMFcdWidzGNOEksFk3tSZYwnHePlPlBVtEwG0zmZu1ls/0J8z+w3P+2J//T2XSZBNZutNGljiIVVKFulbLBccdK1UTH1mw83SumJSd6Wk5eA0WoTHfEMy/QttooojCQD8PhWlLYKjp2d04ed18/RSh4Ro1xOC7a7KVGkIZMwvHaYrRltulXkBVd1dGkxjTaslgW4GoutmahCp2+3z+emM0xnUwZDAe0mi1u69xKb1Ziss6hZbdKPSlyToySLMHWLISQxGlS+HjmBNjSzILUlEiS2na70pzetJr0V0hPDvOnyD6+H6DkEqFKDNPAMq1leIChGNi6jSpVTGlwOB1sTQWDghwrQt0phwTouO3S/hjywmy/rTgRCq1+MosxPWun9EKRChe8PeI0IUszxv5s455WFQ3IS1vniwlN+YK66TRK08EUqSIob7dvOg1G/hjPnN/fQVhMAxZff0HAnl1jP41KfVKu6TDZcd2guP/jNC79jLScBkdVXptM8tL117jl0mU6tfa8uHI9eazheqUGdiEEmqKWpqLZhlnpb9k1XVlFt97iYHj8+VClQs2aS8fmqWOnJRrT+W9MMCf9wJL0u45LTl4qB6s59taQg7VzatQ53NJcv0BOjgYcHva5/fLbyFKxDB/4yx/6U3zT+84N92828jzni1/8Ijdu3ODhhx8+s4e3WZbxD//hP+Tnf/7n+exnP8s999xzJvs9x1cX54RlBW82YVmY62+55Rbuu+++N8VcvzpZOU2/CsBTvaf45BOfJFh54pvlWZEC4/sEQYCUkpbbwrbtolzNrO9spFekQs2onWrK0HW6hGnIMBiWTlfKSM0iTnnxhK5Y3K/vKydnPBozmUxotVt0a13idNNT4xkelmote1Vs3SbP861pU6uwNAuBYLaQNc3lbKZq4if+cjrg6i5JmlZOTI5Tvor7sZiUeBjSIEhDxvNI5dO0zqtSxdW9rVMMTWq4uld0cOTQm5UTR03RMFSDSYncCYr44gURMRQDR3NQhMLNw31u9m/Qare5tXVrZfpYx+7Sq9xm91TE0mwczUZXtLmcbLqVtFiaTZzE5feg06FXYqIHcFSXG/2bBIFPFEZFepJVlFWqmlbELYcz8jxHVRRszS56SoAwDpmE0yL6uYSMKFJBleWEpu20tvo0cnJGoxHT6ZS7brmLIN29kHV0m1nkrxFaS7NwdBtySRCG2LpVmnIGxT2/nAT5PuKllyAIoNUiv+02HMtdSul2oZCUlaeHNew6gxMTJV01qI0D1N/4DLNXrxEpgrjZJPvAB8hvubyxj1NNek4zgSkhLHlefBdFQUitWV/zECpCUrM9FFSiKGU0Lf+ctbw6R+MK6dQpJjBNt06/gmBZholfQnxaTgNVKkynEdPZ9u22+U6WkclBQOD72LpBmKY7I5Oh2ksD0KrXOdox7Vl8DrI4wa3XlvI0UzeoWS5/93v/MrWV4INznD3yPOf555/n2rVrPPzww2dW45DnOf/oH/0jfuqnforPfvaz3H//uQ/p6wXnhGUFeV58cb4ZeOWVV3j22WffdHP9wrNy2snKf3r1P/FLX/yl3X0j830bucHh+JDxbFxIPOaLMMuyaJgNFKEwigpJlCrUneWOC5w0zRfdIg0E84Sv9ETCV8WiFYqFaz/oL4sMJ9EEP/Y3ksD23L1K+RkUT9xVVOI8ZhAOthbNwbwQMg1K5Ui6qtMxO/O+lf7OaQkUQQbDipZ7TdG5YO8VU5JospMAKVKdy7IqivbMFoNwsCQ3CnLuGzq+LxSp4Gg2oy0yu1VsI1F5njMYDAiCkL1ul9ubtxOlMVmWMommGzHIsJh4lC9SqyRcy21W5IuWahVFk0JZSrYMxSj1i9i6TRRHpfdMcZ8ev06aFqQ/CBakX2Gv1iVR0g0JzAKe6SHyQtKY50Wj+CScrpHIrtspTR+TQqIrOkG8fk1zcgb9AUEQcM9tb2eyxTMEFKTi6lU6is3BXh12LCRUqWCoJrqio0qNKI4Y+9O1UISW3VzGIYvXXkP+1m9BHBdRXXkOzRatP/eXOMh2k69jSdluku8Y9lzqdeLnzPdRPvWpYroS5viKwI5yYkXj8M9+lKyzHm1aacjP5wb3kmMxVJ0ojrfOO/M8ZzgYouYCw7NL4+v3ai1mYYipmcRRwmgy3djnaQhLlSFfUzTSLNmQd63iND6Z1SmNpZu4hkMcpQzHUxa3xGmIhmuZXD84IPADoihci0zWNA2BqJaDrXhpTiInZzQcksYJXqO+4aV5+6238iPf81dKj/EcXz6ef/55rl69euZk5cd//Mf5xCc+wWc+8xne9a53ncl+z/HWwDlhWcGbQVhWzfUPPfQQzWbzTPcPb6y5Psszfu6Zn+M/vvIfgepG+iP/iCwvjJRRGM31+z55lhejfMtir76HpmgoQmEST3ZOJRbxxjslVqJIhFrItU62q2/DLlJjKRajoxFhGmLVLS54F04lPztJGhSpUDfqSCHX5F5Nq1kY2yvIT9NqFmlqWYoQYpmothomANCeX+uqzpauvcfB7DipzNFcLM0syvrm5n117pOpkrItyMq29C1d0fF0FykURC4qW+z3thRMZlnO0dEhaZrS6XTout1Cdray/DJVC1d3EAiCJEIKwTgYlyaCNcwGQ39UYbJvl0vOKAjWOJpgqxaqVAs5WTRdJmkJIajpXmmMsaXZxGm00wOQZzmOtLl6eG0pgVno903DQMxbw+tWjeGJNnlFShzdxVB0hJD4gV9IvRYf8Sgq/mfbIGVBaE5MIxY9N0kS0253aDoNxsHmQwXxzDPIRx7B9WOmmiCXkuw97yF/8MHN6+Z2NiZBipB4pocudaIkRmSC/mwEUYTycz9XHKeiFIQlyzCSlPjutxP/iT+x89q23SaHFa31u3w04oknkI8+ClLiJTDW5kQpy5BvuwP3I9+NKjVmfkCcpCRpUn7POdURw12vtXWikec5g36fMIy49867GW25/isbYxnWmu9HUzTqpkueC4bjGQJRSTSqvCtwuhSy05j2d8nXNEWlZnqQCcIwYTIrIU+qSrLivcyy+aR/QfqFpNNskpCvfW5OYpeXJidnOBziz3weuOduBlsij//Ct3wbf/J97y8913N8eXjhhRd47bXXeP/734/rumeyzzzP+ef//J/zL//lv+Q3fuM3eO9733sm+z3HWwfnPSxvIlbN9R/84Ae/qub6Vfixzyef+CRP955e/rfVRnpHdwqTfBxiquba03KBwDAMDMOgTp04igviMst5rv8cuqEvpy91q46pmARJsIzjXcQbly6i8+IYUWE4G+LqLrZqF9KqE7G+UkhaZmsrWYmTmBs3bqDpGq1mi0veJdIspWE0GIbbyyphe/pZmqXHvh1REDxP9049qSlISLHD1Z4WOI5yVoXG/nT/FGSlu0ZWAKbxhGk8mV8ThbbVxlCMggzl7NTsl5EVgCiN6AdDarrHIBxgaAau7iIQ+LHPdMWHUXTJrL8PaZrS6x0ipaTb3aNh1bcmeQWJv5wS2apNnOd4RmGmTrOESTQjWpnCWKq1IVc6CVd3GATlT5+bZnM5FQlOmOAto5jEOKrNOJgW5Yo7PDCGqpfKBi3dJEpjms0WjbkExvd9hoMhR1mKaRhcbl3maNrfaJRPs2wZw9y0m4yTMZqu4mYqxm//LtlzzzGRKaHjoL3nvfTvW/9az/KMw8ND8iyn0+1ywetuNfSL/X3k7/8+ZBmm1JioAtIE+fjjZM0W+e23LbdVpbJBrGDRq1Jc87pZY5RMqHsu5tNXSac+Q0MnWzxMkZJGnHLz5ZchikHfPm2IK5IbNVXbWWopDg8hh2YMfX3+uvPXz3oHaylrlxp7xGlKlrCRPraA3LFAXiKHSbB5HywJYxxzy6XLjEvCEmBOjE50xcRpTG/e2yMUuNy8SBQlzPyA6Y6I4LIkruV+S/wvUHx1DCukaYam7/TaxGnC4bRP3XGZZlMarcJjNJ2GzPz1KcnJskgpJbZtY9s2OTlhGKKrGr2D/SLsYktkMmx38+UU0y0/8Ol2u1uJnhDw4N3nfoc3E1/60pd49dVXefjhh8+UrPzrf/2v+Rf/4l/wf//f//c5Wfk6xTlhWcFZekomkwmPPvoojuPwjd/4jW+auf71SsB6sx4ff+zjpVOLaTQliAPqZp1xNKbrFH6PkwtNgUDXdW5p3sLB7AAt1vB9n8lkwqA/4NA4xLIK2ZhruLSM1lbScRKO5pCRLWVMk2iynEJYarGvOI3xYx9TM+n5m/KYMAo5PDzEcZzCYG+1185ZlSoNq5CgDcPh0sx7KvlZXkyJro6LwkpTNfF0jyQvggRWpWNl0c8L+ImPq7tcn15DCknTbKIIpSAEK1I9gaBtt0/lWYnSiEO/eOKszQMKhBBz+VixuKkiK3DcG7OIQQ7TkHBlkbEgMIZiMvJHa+QojouOFcMwaDYbuLqLHwelUjdVaggkQTLd8BdZuoWtWsW0B1Eqi1KkQp5TSiYN1dwapbyAH/toUuO16dX5fS+wDasw9s/TycbBlLbdqiyztDWbo2iAuHYN+cILWIGP1W6T3XsvsWkShzE3Dm8wC2fohrGcWqor+v0ixrhYsMZpzOjXPg0H+2AIEBJnMqb1mf/ITLcI7r+PsT8hyVJ6vR6KVGh326iKwnSHnEk8/zxkGbVc49CgeB9VFeIY8cXn1ghL026W+myg+D7N8oxhMGI0O0TaoMiUZizQM0gywUCXkGWQbCcsdavGcEss8yoa1mYh5RKWBVKgpFtYu3X8AEkgGMxGy+Q2oQgabg1N6ARhyNifYWh6pc+j8IKsH2+eZRweHRUTxm6XVq1R6YFRt/g21vYJjILxUqbleBa2ZhPHKcPxhJziszusmAZZisboC08iez1y0yJ/+9vBXk9pari1jXM6iZrtcDAsVyfoqlbIElfeT6duY+sWUVAc9zaSuIBAFATFMLh48SJJHOMHAdPJhEG/j6brWKaJYzsMxifeAwpJahgEdLtdPNvZatq//eIlml6t9DzO8cbx0ksv8fLLL5/5ZOXjH/84/8v/8r/wq7/6q3zgAx84k/2e462Hc8LyJqDX63HlyhVuu+027r333jfVXP96yMqL/Rf5P5/4P9eidLfhZCP9YuG4KFBMs5RhNCwSnKzj6YamamieRs2rkaRJIRubFU+R95w9DtQDTNPENm1qeq1IvwrWJx0NszCb70pz8hMfP/ELs7JqoEp1WV65WJzOZjP6gz6NeoN6rY6ruRsRzEmWLJOnhBA0zWaxqKzoJ4FNj0aQBMtrtCBCEokiFW5Ob+7azdb9ZXlGPziWXli6hau5ZHmGQNKrjHM2l4lnC8RpxOEKqbM1h4bRIExDpFB2EhaBqCyYDNMQJ3e5Pr5OnufoatHTEocRr9x8DduyqNXrmJpJlufE2e5FjRQSV9s9FfFjHz/yi9Qw/whFkXh6DU3RSdOMSTQpvE95ISksS7ITCCzVXE4DtkGRCsn1a3DzNYRukN96KzPy42AFwDVcojyg47YAQRAVxv7VtXHHLlKyxOefRF65UkiSAG7cQHn+efhTf4pLt91Db3pELa3hz8MuRsPhUr9v29ZaRK64fgMODgp51XyqKjXJVSUmu/J7pHdcJAf80YQ9r02r3WYSTmlYDQ52meTnCzgNyE98nYjpupdpsGW6soq6VVu/tnt7gCAlp28UO98LMlKZ0rRqiIuXCeOY0Wz92lVNNIQQO5PQALK778H7wtMcKuL4ui/kRvfdu9yu5TbWvCt5nq8Z+E3bpOM0mAXhzukLsOFLyrJiukWe0+12kVJWxiqrUqnsePHMdU/JNPSX+9UslbrloSsm+0clMq6ZT+M//BwHkyG5lIg8h0f+gOxbvpX8bcd9FfIUvy1hVDGlEYLBlinNNJwddxfVbVQd2qrHcDwlSTa/l2quw2gyRSDQNB1N06l5NdI0mUvHAkhSpmGAaVlYpomu6wVZCUO63S6KouLaNn646YF57z33bvy3c5wNXn75Zb70pS/x/ve/H8/zzmSfeZ7zyU9+kv/pf/qf+OVf/mU++MEPnsl+z/HWxDlhOQEhRKW/oQwvv/wyzz33HO94xzvetEbVxVTl9ZCVz137HD/zhZ8hy7PiCb5UGIbDDWLgGd6yU+Qk4jReLvwt1aJm1EiyBEUqG0lhqqLiuR41t0bDaPDa0WsEfsBwOETV1KVh3zIsmlaz+KHP4TCo9pfUjBpBEqwtHBWhFL6TwZDJcEK73abpNJFSVnasKFIhJ19OTFzdLZLC0mCtx0XKIhigbMKRZAn9oE/banNzdhNPL/oWFqljq5BC0rSapfvzY584jXE1j1E4oGk2UaW6tbTSUm2EYCkN2wVTNbkxvTEnQYWfxlB0wnmpZk6OQNC0Whz5FclMRoNBMFi+Z1EacfXoKkdHR9TrdZq1Jg2jjipVpvGUIBHbZVxz8lvpN3GPJ2BpnjEIhxDFiMMeSIl18Tba7gXCJMDTPSbRZOvrdZxy4zppQvszv8fhtReRi4mZaZL90T9KPv9cCwRSyg1vi6qphcRPapDlBHEE0wny8SeKDRapUHkOQUD7c4/Taxfmb0VRcR0X13HX9PvhQPLCwYtF4phlYR4dFhdtZUGvZYJMUWA6I55M6E0mWLYFjqAf9tGkVpCrepM8E8xCf93I3m7RfOk1DleVq4s1fqdzvJnTZL8isevkwj3vdMhvvQXx2muQ5cgchiInUQSH3/Ag+WIaaGp4pouCQpLklRONltPksKSvhk4b60/+aWa/+5likgMgBPkDD5CvSH+2FZGuIkxCDqaHhHGIUCQNZ96X5IdMguJ76OQEJssyegc9hBR0Oh2ElDRsb0PqdRJNp15Zsmnqxk6iFqcJvUmfplMnVYJiUqRoTGcBsxWjuvxP/4npeAgCxPza5FmG/OxnSb/vL4NhoArJYFoxETcsRn75d07D8SqnNJZhLCdPUhM0azUUoTCeBIRh8TtlaDqwed6KouI4Lo7j0vQ8rh3sE8y7nrIsAyGo1+tLz0sQbTfsv++e80SpNwOvvPIKL774Ig899BC12tlMsPI856d/+qf57/67/45f+qVf4o//8T9+Jvt9I/jxH/9xfuEXfoFnnnkGy7L4o3/0j/K//q//K/fdd99X7Zi+HnFOWM4IWZbx9NNPc/PmTR5++OE3zVy/mKwApyIreZ7z6ec/za+/+OvL/7Z4gi+EoGE20BSNcTheGrSrPBmO5pCTL6cHi4X3IilsYUhfxA0f+Uc4joPjOGuLsPHBGEUq9Kwet7VuK/TNK4lj21K32nabgT/YkBUlecLz155fPkW7tX4rucgr5WemZqIIZY3UrErQDNXA073iuudpaR/I4pw93VsSu3E0Xh7DYl9ZXkwDHN3hcHWBPpshrl2FNCXv7kGriSZ1LNVmMH/P1qYvmo2rOSR5SpLGxFlSGb/cttoc+QNy5gsU8rUEMVWo1I1iIjIMhqX+l7peZxJO1iRw0/4R8fMvcFFVUNOU1HaJtJiD+fVQleL6qEIhTCPG8x6YrrNXKcVr2+2NbcRzX0Q+fgXmT0s91ePqHzuOrFWVgjxoUifJYsbhhJpRKycrwN7nX+TwteeLCYZuUFTZB8jf+V3S7/qzYJp0nc7WEIIkS5b3U8tuM0nG2DdvUgtihGYQxjkjFXJREJ7kxrUi5tdY70NZ6PfbjRZhFKEE6rJw0woC2vPvAyEE7VBwqANxBqpKbzTEqdXwPG/5HdGw6xvnbZqFpI9cELzrQbLPPwtJtJzakBX7y+5/YH49tcqn/zWztjm5EoLsT/5J5JUriOe+SGccsX+hQfbgg+R33rncLM7iZblnx25h2RqO7pCnOSN/uuG3KIt2hiIl7+jeO0gv/SXEa68Wn63Lt0D9eNHkmg6DinNqOccTmHzFpwNgOUVghC51rh8ekufZ3LvVQ1UUWu328j046U/ahqDinCSi0vhvasbyfVqdhjmeja1ZROMZ6gtfYqiuf7hFnpOnCeKll8jvu4+GV6M3GpS+lm1Wl3Eqp/BWrnbJZHl+XHoqwGs4mKpJluyWjAEoisJoOi1SxUyTo6MjoijCMi2mkwnDwYCa6zGZTDAtc016d/vFi7Tr9crjPMfrw6uvvsoLL7zAQw89RP2Mrm+e5/zsz/4sf//v/31+/ud/nm/5lm85k/2+UfzWb/0WP/zDP8wHPvABkiThv//v/3u+/du/naeeeurMEtDOcZ4StoEoil73hCWKIq5cuUIcxzz00ENn1tS6ijdiro/SiJ968qe4cvNK5bZdu+hDMVSDWbT59H6BKsnWav9IlmcbUqyT5xSGIXqic2N0AyHEsqjSNMyioV0xmCZTZtGs8JfMNv0gaZZydFiY2tudNl27yyg6Jl6O7mCrNmEark05PMMjSqPKRY+lWkgpCZJga1LYAqctmNSUIr1rIRubxlOCZz+PfORRWMh+FAX9bW9H+aY/ySQpN+i6mkuapxiqiaZo8/dv84ln25onkJUYagSCltVa+l8MxcDTXUAwiY/9LzXdw48D4rn3Jydn9tJL2P/5c6hxBEIiyGm6XQ7+9B8vEqy2QJEKF5wLJGlMmMaMw+3JYHWj8FOt/pu4ehX5m78FeQaahhMXi57Y1Eg/9GGobcoOTNXGUDQ0RV+GO0xPFDg6mkXy0z9FEgXH0xAoJiJRRPZH/gjeex5mHIxLr+VqEaV47lnkf/7PoOkgQMnATQTeNMFXBIP/4vuItO2L2ZbdXC7iF4cRz6YY/+E/IMIQhIKVCQIJZCnj224j+4ZvWNOIW5pFmISlfqW23WT82pdo/M7nUK7dJJCCUadB9g3fQH7xIrA9GewkmladfonUTgI6KkEeLw3wJ2GpFkEcnPguLlrtDdUgihMUITmaDEqPpeO16VVMg06zTd0u99IIBIZqEKcJtmpxcOOAJAfHc5dkRVc14jQp/X2pWQ6jivjgjtegV1HyuFdrsV/mk5lOufWT/45UCLJcMpQKyfw4cyHIHn6Y/D3voW57DMsmQnmRdlfWz6IKSS62RwwvYOnmWiLaNtQdl+F0gqkZeKZDEuUMR9M18/yiLDJnEXKQ0Ol2lkQxSRJsXePq/j5RGKKq2jIk5i9925/mT33gj5QewzleH1577TWee+45HnroIRqNxpnt9xd+4Rf4wR/8QX72Z3+Wj3zkI2e237PCwcEBe3t7/NZv/RZ/oiQB8RyvD+cTlhN4vZKwhbnedV0eeuiht4y5fhAM+MRjn+DV0aul2wkhaFsrRu752t3RHWzNJoxDRlHxQ32qRvr5Pw3DIWESFkWMirU1LllX9SKaNhxyyb1EGIb4vk//qGhaP7KOlrKxi95F0jzF07x1f0YSc9g7XCaB7Tl79Pze2jFOo+mylX0x5VCEQj/or/W9bIOne0RZtJTOnEwKMxSDWTxbLlyryMpiorPmIxoOqf/eo9hBSuzYDPQMy08Rzz7PuFmHe3frqmtGDT8JiNNorVHeVE1c3SPPM4bhqOi8mVWTlbbVorciAztpsrc1h7pRI01T/HnPR05Ov9ej+ft/UJAV0wQBnRkcjPeRf/D7ZH/im7e+Zt2oc218ncWNI4WkYdTRFJ04ixkHI4x5+ebJxbZ47ouQpWAYaLkAKYhtCUGIePEF8hNJMVIoaIqy0UmjaUV0syJVojgijxOC1SnD8gUFIFD9kCRNSq+lrhhrcsL88uVif0kMmkYqISPnmpWSXrxIZghszcTWbEAQxD6TcLZBVhaHoTsOfMu3In7rN7lw6HPTEuQZ+K0243vvw85z4jhe9nxYmlk6fSvipEOiVoP9P/vtMJ1CDlqtTt30UFCI4pSjaXm0bd30SskKQNudF2OWfI+5hr2ldyVfpqUV+2nRqtdRkEz8YGN7gShtrIeiz6hfQXo80600/hcTmAFxkvDa1auYpkGj1aRmWJiaSRjFmIrJ/qicGOmaDhWEJSlZ+AOQ50yqfDKux0G7RjKbIgCZpzTjDC0VjIVkcuEClm6UkxWKVK+qBLG6V+OwYkrjWlYlYdHniWdBHC47hlRLoWHVELlkNJqSZ3lBVg6PSJJ1sgKgqiqGadHtdNem/b3eAX7viKeeeoput0ur1UJRqqdh59iNq1ev8txzz/G+973vTMnKf/gP/4Ef/MEf5N/9u3/3liQrAMN5pHar1foqH8nXF84Jy5eBg4MDHn/8cW6//Xbuueeet4y5/tXRq3z8sY8TJAFdu0ucbSZ8wVwus8WQDuuLfEu1aFmtwg9wmv6ScLj0tIzDMWOKHz1bs3E0hygtCvhW5UjHCTAmeWPefOwHTIYTYmIO+4fLMb+jOzi6w2Q24fr+dWzHplavFcb+CllRmIR4usf+bL/wvditjaSwBRpmg0k02S6Ry4/JSc0o5CW6oqMrOsNwuPU6ubpLkiUb0yvxystMRMSkZQE5zVBBEyp5PCN+/kv4OwhL3SimXdtKKFeDALp2lyiN6Nod/DRgHIw3ZF7byMo2CODQP5wTPYGjOwx7A5r7I4wgIDUNEIK9QGHfTiFWEdeuQeCDuT55rBv1OXE7vlZZnjEIB8v/r0sdSzeRKCRZsuyyARDj0XLR68WSI32xkMsRk8lmyZ7V3Hqvx2m0JKJdu0svHNGotbCu75OYKhMNQgmkxf7re7fRK0kXgyJSeY1ouB7Zu9+NfOIJiCJEDjISZK5B9v6i82EWz9Z8WZZhIRVB12sTxsX0afW+yi/soX/PX2X/Sy/iD/sMNQ3njjtwsxw/8BkNR6iqyl69y43oZlG6t+P7o+O0OFgt4JzLGOIsWZ5H1+kg08LzpKDgRwGTEw31u3oxFpBCVEb66qq+M6Z4Ac/yNrwrtm3j6A5JkjKcTmg59a3xzatoOjX2R+XyQEMztnbWrCLNMuI4ptfrYds2tXodAYzDCeOw+FthZXSadfIUBtMxabpOPBSpMKjyeehmpRys7tQqiUbDrXP48PtRfvu3i4kKOX1dkgsBly7h3n17kdA2nTKezHbKQrWKNDNgZ+HuKmYlExrYbdpPsmMSrZsaqRKRpQGqKmk0OxsSPMc0Gc+Ke3Y1Mvm2Cxf4pj/yRzg4OOCZZ54hiiLa7TbdbpdOp4NhGJXncI5jXLt2jWeffZb3vve9ZyqP/9Vf/VX++l//6/zET/wE3/3d331m+z1LZFnGj/zIj/BN3/RN58WVZ4xzwvIGkOc5L7/8Ml/84hd55zvfyeXLl9+U13kj5vorN6/wU0/+1HJycJDME7zmCV+LBaGpmkWUZ4UhXUqJpVtLQ7o+j8hNs3Sjy6QqwnexIGuYDaDwwhiKwSAcrC3EBAJDN6jbhVm7P+2DD+PJmH6/j2EYKIrCbDaj0+pwa/tWVEVlf7K//YVXsGfvsT/vMEny9aSwhtkozOHRFFu317pTdmFbcaQqVepWodUdBSPiLKZu1Jkls61SOhEeT3kakWSq5UQyAykgnlEza8s+mwVJaprzIsqSiGBYFEwesPqmaKpO3agBgnE4JkqjU5EVW7VJs3R5b6VJwos3X0BRFDoWIKCZKLixZKzlhR5eSkjTojBwhbC4usMsnpUevxQSW7fXfD4CQc3wMFQT3A7j/oBmoLBvzu/DvNgqP5FC03E69CqihwuPTLHN4L0PMBr3IAsABSfIsaMcvX2B3q0XId29wOo4HXpbZFP5e95D1mojXnie7jBh/1KD7N57YYcJ1TVcDibHBFxRFDyjNi9ljJiEMyzD5UazzlRX6XQ66HMJm+MWfrEwCAnjkKN+v5BczuOSDcNYfp+oUmUYlC9wbd2mNy0KTVd9XIax6OWRkAl60/J7qOW0tl6bVdTNGgcVJGLbQnkWzZjN5X2KpiA16NRb+GHANNgkmFLIrV0yq9BVnaNJ+VTJNR32Bz16vR6u6+LVahvr+5bTWCNhx7HJGlM/YBYGtNx6Zdyxa9qVkwj1FJOBJEvI77mHVErkY4/BcEiuaeT33Uf2/vczDiakecosDjAcHc/0yJKcwXiy/M6XQu7sXllAV7XKbTxrPfFsG05j2ndNm+deeoEszeh0O3iWga3bRGHCaDwjz8GxrK2dNQ/f/w5arRatVot7772X6XTKwcEBV69e5emnn6ZWq9Htdul2uziO86Y8nPx6wfXr13nmmWd48MEHz3TC8Bu/8Rv8wA/8AJ/4xCf4i3/xL57Zfs8aP/zDP8znP/95fud3fuerfShfdzj3sJxAkiSlWfBZlvHUU0+xv79/5rrMBU6a60/TXA/w61/6dT79xU9XL7LnKWF5njMIBxsJXwvoqo6p7PZkaFKjbtaLsCIhKvtBoFgU9v3+GtFZ7CfPi4lLkiXU9BpRFm10ccRJvIyoBHAMh1atRazEGKpB3Sw8JicT0BbStzJPzQJdp0uYFKWZQRwsJXHbzqWK1AghuORcIs1TJtFkqzdIvPgC8v/7/2hhMzQhFfP9zXzyO95G9k1/bLmtoRp0rA5hEtIPBqQlAQkn45e3Hh+CPXuPTOTLdLhtPgdLtcjJl+/H4mmyaZo0Gg3EaIzyK7/Mni/ZrxWLSTWD+ihEcWpM/ur3MJ5L1kzNLDzsSfnCq2N3St8vcf0GF37ls4R5hqnopORM8ojQNkg//GGYezi2+V9OwtEcwiRaI57ipZeKich4DFJi3nYn0QceJjZUDMXA0R2kkIRxtJR/WZpFnCSlwRWO7hDEwc7PHYBn1opJWInsrGW3uLF/kzRM6Hb38NNwY5/dufxq4RcL5pHJeZ5jGAaWZXFr+xaO/PJFeeHHKScaNbNIDbRVu/gsz9ank1IIdNXYKOhchSY18iwvvX6u4cwnO7uvTdNp0F8hCJZelLOmaTF9SbP0VN6VPa9dmYjmqDZffPkFPK+G523vlmg69dKwAsdwqBkuszBktGU6CMWQQ1d1wi1hJAuoikqeZaWpZ7ZhMTspGUuSImBi/juzy7uiCEndriFzBQWFm4NygtWpN+kNy++tTq1Jb1Rx/3l1Dse7r1+e5UQzn+FsQqfT2fB46qpGzfRQhUavP1iLTBYC/tHf/K929q+EYUiv1+Pg4IDDw0MMw1iSl0ajcSo/6R8W3Lhxgy984Qs8+OCDdFaSBb9c/PZv/zZ/6S/9Jf71v/7X/MAP/MBbljB+7GMf41Of+hS//du/zZ0rYSLnOBucE5YTKCMsURTx2GOPkSTJV8xcfxqykmQJP/PUz/C5q5+r3P9JH8qiGFBKuXzaDseN9FWLykXq0ygYHZOFYEi8Raa0Ot3YBUUoXHAvEKcxg3CwRjpycvr9PmEY0ul0cHWX2WzG0eSIKIxQNRXbsjEtE13Tqc/jdIM4QFXUymmSQNCxOxuL/EUxZJzFS7nXaQohYfN6L2RxazK9JObCpz/L0eSATJsvGuIEdJ30W78F2sdf/B2rw6FfPOkWQlI3ih4SP173CO05e+xPy6+1QNCy2xyukAJlnuymCrUw7ydTLLW4zxcemTAIOTw6LJ4me7WlFeHC716h96UvFCsrqRSTFSnIPvAN5Pfcja7oNI0GkuK9WPXcnESRGlZ+/HWjweSpK/DYo+D7xXVzPaw/+s1Yb7ubLM+I4pgoD0uDFRShYKn2hscKKBzuvo/QdGpue8P/soAq1WXYxCSaztPTtjVpC2q6txGFfHIbR3eYhLtlSALJeDBiGk7pdDooioIQAk8vTOlJkhIkEUmabEz18rm/xfd98ihjFvnohl5MX0wLRV1/Ql8zPUZ++VPyttNaBgwcH6PAMz0MxSCOE3RFZ78ina3rdHb3xCxey22VRxlTJKKt9qisQpEKNaOGqRkMp+OdciQpJKqibk0rXCCJUw72D6jVazvTgGzdYrajrHOBmu0xmhMETdGoWx55KtakYy23zlFFzHO31uSgYvHfqbXoVUxyTkMimk6dLMvQpY4fREz8zXP0LJuxXyKfzIuI5oUnZRtUIUEIkh0EP89yRsMhURzT7rR3EgjXtJkEM6QQ1O0aCiqTScCldpe/95f/aum5LpCmKUdHRxwcHHBwcECWZXQ6HbrdLu12e+kZ+8OImzdv8vnPf573vOc9dLvdM9vv7/7u7/IX/sJf4J/9s3/G3/7bf/stSVbyPOe//q//a37xF3+R3/zN3+See+6p/qNzvG6cE5YT2EVYJpMJjzzyCLVajXe/+91vqrk+TdNTS8AWf/fy8GUe33+cx/cf3+njqGpxF0JQM2o4msMoHG1fwK3AUi0UqWxsJ0Shc9ekxigaEacxLbO1tZF+4xjt7tI0v7qfYTDk6s2ryySwlt1iFh9LrNIsJQgCAj8gCAuCYlomTbeJbdoIIbBUCz/x18zQCyhCKYzpJWWDUDwB7jpdoiRiEA02fC9r51JxvTVFo6YXxv2D3sukVx5BvPoq5Dl5u0X+7neT711YuzaFZGn7R3YRc6wrOjcmN0rlVkVZZnXPSt1sYEqTJE8YhiNGkyH9fp9Go7G2QGtbbQ4nB4inn0I+90WIQvA8sne8k/yOO0AUkcm25iyN05Zm4WgO5Dmj6Jgsd+xuZUGmrdrEaVIQ4yRBHPXJpYBWu5DSARIF13BIsgRHK576j8MJYbq+OOpYncr+l9NIyvac7nJBrkiJq3sYik6UJoz8YnLVdbscjMvPbc/tsj/ZvU2WZaSTlH44oNPevUArJoXRksCM/NHGk/eW3WR/dIDv+wR+QBRFaHpRVmlaJqpaFKEOS4z0AoFt2ExLvClSKJiagakWoROzlaLDBU4zXbH0belh6/Asj3EFwWo5zaX3wdEdLM0iSVNGs+OY7qoJjO/7pNMEaanYO1Lwiv206FX0qnS8Jr3xJkEQQlC3CukYmayWjBn2hq9obX8Uxv7VEtKTUKUEdhMEKPpQTu7D1i0c3SaOi9Z6t4qsAA23VunbadcaO037i2LOhu2hWHrptKNbb3Ew3Lx+3/PHv4M//u73lx7DNuR5zmg0WpKX6XRKs9lc+l7K7omvN+zv7/Pkk0+eOVn53Oc+x3d913fxT/7JP+GHf/iH35JkBeCHfuiH+L/+r/+LT33qU2vdK/V6/U15sP2HFeeE5QTSNCVJ1n8wF+b6t73tbdx9991vGXP9LlwbX+PKzSs8vv8418bXTr0Yh/WJgGd4mIq5taSwZtQI0qD06SMURvSG0SAXOdN4utSY73rtraboJC5+lMwGt168FUUqHMwOdkp8srzQ7otYMJ6OSURSpI2ZFrqhY2s2ru4Sp8WUQ1O0U8URSyFpWI0138tiijONpmsTg9PIseB4ErIkZ5lgFk6YivWn4nt29cRk9XUVoVAz6ihSbpi5pZA0zGYlWTEWi8u40H9PJxOSacKtF29BGsqyQ6XodllJIMvzYrqiqEuzrhSSul6n7w92vp6ru9TNOmES0A+GO+VuqtQwpLEzenuBjt3eSkQczcGay9IUqXJzXH5dm1Zzftwli2SjxiTYXlIJxfl3nS55nhElCWN/vJVQuobLLJrtvLfTNGM2mBIR0Wq1dn5P1Mw6oxOSMoEsYoFlIStShMLRbHBi/+vEv2k1iGWCaVnour7Ve91x25W+lCIOef2zbWlW0bGS5QxmY5pW40wiiFfJyC7UrdpW/4qqqNTMWlFcmaY7iyunsxnDwZCL3YtIdfciWZXF5CsuebChazpJkpRLFg2baTjDNQpyFUYJo8l4LWmtbnkMq4ia26iMgm57DQ4rYpO7tVYpedIUjQteGz+MGIynO+WPnVqjsuel6da2+leyLOOwdwgC7rztbcsCz12wjM34ZSkE/78f+DvU7O1SvtcD3/eX5KXf72Pb9lI6VpRWvjUX218uDg4OeOKJJ3j3u9/N3t7eme330Ucf5aMf/Sj/w//wP/Df/Df/zVv6+u06tk9+8pP8tb/2176yB/N1jHPCcgKrhOWtbK4/Lfan+zzVe4o/uPEHvDJ8ZeeTyV1yqAUWMcdBHKArOoNgs7xx42/mBZOri+VFJ8pqi/xqweRJhFHI4eEhju0cJ4HNDrDVQlp1sltlgabZZByNibOYMAjxAx9/LllYkBfDNGgYDQzFIM3TpX9mGxaJamWyMld3l/0qN6Y3Sq8NlJMaWysSj+I0RpNaZfoZlE8mbK14/9IsQQj5usnKcDjAn/m0O+2lsVuTGl27W6R3RaPd8sEcWla7snSzZtaYRhPSLJtP+zx0xVjz1kghqek1BkGFNMbuLMsqd6Fu1BmFo2LhrDpkecY4nKxFXZuqSZqnu3uHKCRGujRKY4PlXOa1TIxaPb8kYRSMybMMz/TWontXkSQJBwc92l4LzdF3pgILBJ7hMdoySVzfxkUR6lw2GTL2J5tpUDEcjfoEQYAQYJompmVhzk37UijoqlbqS1EUFYkkLokQN1UTSzPRhEYQxVslaJZmESQhecnC/jT+lppVY1Rhti88MENqplt42aKI0ax47yaTCcPRiHtvezvTCsls12tzcAY+mW370VWd2twMP5pOaDj1rVOa9fOq0a9IGatZbmVzvWOUl0UKQFM1oiQuJFhWDUWoTKY+QTQvFj5FP4uuasTJZoR4lmX0ej2kkNx2y62VQQQ1212+f6u479Y7+dif/Sulf/tGEMfFQ7aDg4PiOKVck459vUQm93o9nnjiCd75zndy4cKF6j84JZ544gk+/OEP86M/+qP8g3/wD97SZOUcXzmcE5YTWBCWhbn+4ODgzHPEF3ij5vo3in7Q54n9J7hy8wov9l9cPtFb+FD6FcZbKJ70j+MxruYSpdFOTX9lwSTFAqRuFGlaNyabC/zZbEZ/0KdRb+A6Lm17u2neUA1qemH4HYbDZfHhyVs7p4hL9v2CvFjCQjEUVEPFMI2l+V8KySgcLReui+6URczzLihSwdM9BsFg6XsppFTDtWhPKSRNs7ksZ9wFgaBttxkEg/l1EozC0cbCb7FdVaCAIoqUqXE0pqbXUKXKJJrgJ+tPJtfISpZz1D8ijmM6nc6aFLJpNBlGx0lxzpwUJVnKKBiSkkI+n5xVGLZd3SFMo533iyIlNb1exCj7w2Lhv+Oj0rKalSZyQzGBfEMeBkURp6VZBXHK4bBiMnma86uSB0ohueheIk4iojRmHKyHBCxCDi63LpMZ+a5TX3mtU3hFTmyjyWIBLHLJNJrhas5yKlJ0Zob4ftFbkWUZpmFya+sy03xWLsXxqn0pJycwuloUlopcMJxNiJP4dCWQbusUUcbrhvxt2FYUaagmWZBwdDTArrk03cYpFvbFZGQXhBAYql7q4VCkRAql9LvUVHUcw0GgMJ7Otkq+TK3cKwLVkjI4HaEpm+QUUyITFY3rRxX3Rb3JwQnTfpZl9A4KEtBut9lrtrdKvdb2s8Pb81e+5SN88IH3lv7tl4ssyxgMBsvpSxiGtFqt5fTlazUy+fDwkMcff5x3vOMdXJwXy54FnnrqKT70oQ/xsY99jB/7sR87JyvnWOKcsJxAlmVMp1Mee+wx0jTloYcewjTNM3+d1TJIePPJyklMoglP7j/JkwdP8srolfUiwy2QQtKyWhuL4kURY5qnDIIinvhUBZMc95IESXAclzzfz3A4ZDKZ0Gq3cCzsL36LAADNkUlEQVSHml6jH1QTqgvOBdIsJac8Aa1ltjiYHDCZTQj8gCRNih6YeeuxVIowAlux8RN/rRtkGwzFQFf1rf6YxQRJCsk0nhZRzqeIk24Yjc2pk2Dpe/Fjn1niz7crX8gpUsXTt0+IHN3FUi2SLCFMAwSFjCxNM44ODwvZV7uDohwvShtGg3G0XdYExf1S+KFcRsFwOVnYhtOmhq0u+jVFw9M9pFCYRVNm8+mGp7v4sU9SEZfs6m6lBLBjd+lNe3iGi6mYBRFb6YGB9Tb7XWhYdQYVZYquvi4FK8ilV/i3JkO+dPVl9lpdTNssnWwamlk8dCnxgeiKQZ6nxKXb6BiqgaEY5FnO0B8v/Vo5kMQxSZQym00JogDdMLBME9O0UFdM+7pqkGZJaSKaoZokWVyyjaDjtJG5xI/mk6AtsHUbP/ZLv3dc052XSb4+D0wOjIYjprMp3U6Hbq2DEBIVlUkwww83iUBVMhjs9q6sb3MaD8z6NrV52EEQRksfyV6txX6FB6ZK6nXaYz7NuTccjyCK8AyXJM4YTiZrrfVwbJRfIE1Ter0eiqLQbrcLb+IWqdcqVqc9q1Clwj/5L/8utvGV8xjkeb6MTD44OGA0GuF53pK8uK77NbFAPzo64sqVKzzwwANcunTpzPb77LPP8qEPfYi/8Tf+Bv/4H//jr4lrcY6vHM4JywkMh0P+83/+z2+6uX7hVxFCfNVjEYMk4AsHX+DKzSs8ffj0RqKSJjUc3alcZKtS5YJzgSAJKiVj2/pLoJiCjAYjtERj7+IeucyLxuqKAIBthEoKSd2sowhlbWKyLeErTmICP2Dmz0jiBN3QuVi/SKZm5CLfKmVbwNEcMrJSSRAUi8BFPLChGFu9QbA+qSmDKtVlp02apQyD4VYdvCo1HN2uJKWmaqFJDU3RSJOUl66+RKZktJothFzRyht1ptGUJN+94AXYs7vszyVqhlL0dZALxtF46X3SFA1d0SunV1Wmd0uzqOm1Qu42O1qTdW3sqyIuGeYhAlv8L0UPTA1d1RE59GfD0oW/KlVURS2VTAkBruZtJbu+73PU79NutLhj7w7SLC3umx1PwVt2tfSubbc4rNjm5PVeyMxMxSCIY8b+mLbbpjfpFYlkgY8fBERhiKppWPO+l0uNi5XTp47boVeRHrbabaOrOjXDI88oopPnk4fTTFdOs03LbXG0sk0ODAcDfD+g0+2gqeqGT8Y1CtIfxjGjecFhw6kzqFi0n8Z34pluZXHl1qjiOSzNxDXcoidn2N9J1aSQKFKW+m2KIsa8WsaVJqXE0dLNDRmXKhVqi9b6yRRT09dM+wuyoqrq0r+1S+q1il0emAfvvI+/+aGvbp9HFEVL8nJ4eIiu60vy0mw2v+prg23o9/s89thj3H///Wcqk3/++ef50Ic+xPd93/fxT//pP31Lnvs5vro4JywnMBwOuXr1Knfddddb3lz/ZiBOY57qPcXj+4/z+YPPI5EbPpRtkFLSMo6TwBSpUDcKo+HJFvldE5g0Szk6PFomgTXNJnEeY6kWQizkUJuyiNP4SxBQ1+t4hsehf1hKLpI0wcosrg+vE4ZhkZo0972oqnos98oKo+yuQshVWJqFQGxcxwURitKIUThCUzQM1di6eF2FJjUszVqbEhxPcgpDfJgEaIqOqZqMK6YJlmqDAD+eEcUxh71e0dHRvRVLt5cBBTWjdiqyUh46IPB0F0uzUZDcnNzceLK6ipbVpB8MShdA61OTYv+mapFkMaPgOB3rNGEIruYQJGHplEKVKoZqEsQ+nlFDk4WPYxKud2i07FYlgeg63bWCyAWm0ymD4ZBWs8ltndvWCISpmji6A7lgEk4Ik3D+WuVPvhtmvdL/UzM8RuGEsilEw2wgkQghmfqz5XQsy7J510sASU6cx5imhWWZ6Lqx4btxdJtZ5O8MK4DCz+VHwdZtBIKa6WGrFpPAL13Yn2YC4xjOnAwW2+QUC7QoDOl0u6iKUumT0VWdrtMmCGOG0/HOtC3PcndOixbYJk07idNMM9puk8NJf15qW4MMhtPZ2vdy22tyWDXtOUXc8WmmNFXTHgFcblwgilOmvs94OtsgK6c9nl3G/r/xHX+B9951f+nffiWxGpnc6/VI05R2u71MHXsrRCYPBgMeffRR7r33Xm699dYz2+9LL73Ed3zHd/Dd3/3d/Mt/+S/Pyco5tuKcsJxAlmXEcfni843irU5WTiLNUp4/ep7H9h/jif0ndi6iF5ODXX4WIQQNo4Ei52Vjs5sb2yySwDRNo9Vs0bbbjMLRepHfSszxOB4TxAGWZiGRlYlRUkoa5nHCl6u72Goh9xpH6+e1OoFJs5TAL8r2wjBE1VQs08KyLPa8PWbJrGj6zsXOmGPP8IjSqLQLBAqpl6mZSy/OLomMoRhoilY+dRKF7E2fp2mVERZLsyAvelaCIODw6IiaV8P13DWvRMtqIyiki5NoslPCdRpSsJCMDYIBqjiWzPmRz3SF1BVG/N0pQ6vHtksWt3gtW7WZRjNG4WjnAlmVKrpiMKua+OyY0mhSwzU8VKGiCoXr4817fRV1s8bIH68dTw5MxmPG4zHtdpuG2yBO41ICVTfqmKpJlMZb44uhuA6WZpVPs3KoWd48YWw3GmZjrefE0W1s3S4CBPzCf9Ow6lzv3ywSxwKfPC9M+5ZlYZqFaX9bf8tJdJz2KSYnRVKZpZnzgsiMwXRMtjLlPZUHZmWbHDg6PCJJYjqd7lISeZr9LLpipJDUrTqqUBlPpwQr3pLTSKtabpOjScU2ToOjCk9Ow64xOEF8BEUfiSo0pr6PrmgMK6YVnukwDso/G1W+HfIcy7BKjfKrJZlpmjIZjKlZHrVak/F0BuJ0E6Fdxn5LN/mf/8u/i6qcvYLiLLCITF4UVk4mExqNxnL68tWITB4MBjz22GPcc889Z0pWXnvtNb7927+d7/iO7+Df/tt/e05WzrET54TlBPK8MGaf9T6/kub6NwN5nvPi4MWi6+Xm40tvxWnlUEvC4B8VHgzVKAzfsb+ZBGbvLbtYynDBuVDIxeJJ6eJdkxq2Zu8kVIs+kCRNUBV1p1xo+fQ48DESg0k2KRZflomu68sSzlVC1TAbTKJJ6WIT1v08cFzoqUiFSTxZSop2TWpOwlRNJAqzOZErvEY1sjxlGI6WkcG2ZpPlOUHiM53NGPQHNJuNjR/EmlFnFs9IVgpBXd3DUq1i+hIWJZgdq0PPP6Ts6bxg3gETbF/0WaqFo7nIuRRwVnFvVRnai2N1CZOQOCtS17w5QZpFK5HP+SLCuOKJ7SkkZa7u4cczNEXH1V3yHMbBeE2qdpwudvxeFl6JIbPZjHa7g65rBTmokAeuRjhLIfEMD13qhHHIKCgCCvacDvsVZvzT9M20rFZpbLAiFfacPZIsYRpO5xOUQv4S+D6+HxRPj90mqZpjWibKrrI/3a1M/XJ0i9mWCYwiJDWrjioUorggUmXfKaZuEsYReZ6R5zmHh4ek82LAxfGZmkmYRKVJZWXbeKaHpVjEUcrQH5dGGVu6SRCFpdOnbdKqk6gkEBRmexBFElsYM55OODkOq1kOI7+crJzGkN9wagwqksqabp3+ZEiaJBz0eui6TrPZRAiBrmjULA9N6Oz3j0rlabs6XD74wHv5K9/ykdJjeCvB9/0leTk6OvqKRyYPh0MeffRR7r77bm677bYz2+/169f5M3/mz/DN3/zNfOITn/i6SU87x5uDc8JyAmdNWL7a5vo3C68MX+HJgyd5cv9Jro6vlm6rqzqmsr3nRMSCcX+MU3cQhjh1f0nLaq1NIRaxy2GyHnNsa0VpZGXC17yrZpGglZMzDIZbfTh7zh43JzcJwmBZuCeEKAz7loVhGAgEl9xLpHm6s6xygbpRr5SVeYaHrRXSrKo+HVuzybKChGyDFAp1ozDuB2lIP+gzHo+ZzJ/on0ytqZuNQgaW7T4+VWpccC4QpSGjcLw1fQsoUsOc6gW/qZqIXBAkITWjMBD7SbgxKTrN/aIpOqpU14jBKpaFm1Ln5uSg9DxrhsckmpYuNBWhYGoW0y0k2l0GHKSoqGtJXXme0+8PiKJwmci2Lc3rJBpWg0FJv42u6LTMJmmWMZrLx7ZBkxoISu9DiYKhGvgVze2e4S6DFmzdxpmnxw1nRVBDEidoucr+YJ84jtF1fSkdW0uis5r0T3TFnETHadE7xZQmiANMzSKOY4azzc/jYkqT5TmHveKatzsd5Mr39akSz065zTiYFNLSNGU4GW/IIru1NgejivS502xzimjlk9sYqo5nemRpzmA8IcuzU8qvTrGN16BX0fPSchscDHocHPQwDJ3GnKysounWGU3H1O0aEoXRpJCzrqLhegwmm+/13/3u/4K7L99eegxvVSRJshaZDCzJS6vVOnPf7Wg04pFHHuGuu+7ibW9725nt9+bNm3zoQx/iAx/4AD/xEz9xTlbOUYlzwnICZ0lYFlOVxSX+eh113pjc4PH9x3li/wleGb6y9m+u7haL9hNPyXNyxqNxkQTWKpLA2labXOQEyaaxfRVdZ75I3XHnLjwmCBiH48r0KX3u8zhJqBZTDiklo6CQp22LD87JCcNwSV7yPOdS/RKBEmAaZpFko1lrZZWLp6Ytq7WTGK2iZtTwE584jZfJbFmWMYgGa5HJi9eokp95ukc4l6mFk4A8zGnvtfHzdY3/acgKsDFZ8XQPU7OIkmhNgtW15nK7EmhSw5Dm1qmZpmjUjRpQTGoOZuXTHCkknu7tnK4dH3+bnn84N5fX5ubycFmOWby2jiqVymni6Uz9Hfp+n5pRR5Mqs9Dn5esvk6Zp8URfUXB1Bz8OSu8NVapoilZ5TKtJZQVpsonTiFEwWZKvXUWbq9hzuuxXLMYXcqhtUKSy9JwczQb4UTFt8eeysTAMUVUN0zK5UN/DT8OdfTNwut4VS7MI4vUJjK4UEc55BoPZCFWqxElMnCYc9o4jc1cXyZqik+VpqTxRVTQg3yoNXb0GQoi1bVRZFFZKJKPpdBnIUip3kgpCyFKCeZriSlUqcOJ4Th5v024gcslwMiZKtm+nKip5lm2VIy6gKSpplpZ61nRVIwgD9vcPiq6sRmODrBiaThRHG+963Somi7MgJE2yNQneAm2vwf/4/T/0dfHgMMsyhsPh0rgfBMEyMrnT6XzZCafj8ZhHHnmEO+64gzvuuONsDpqibPIjH/kI73rXu/jpn/7pNyXc6BxffzgnLFsQbomofL34WvOrnBUO/UMev1mQl37QZxwW5Y2ryMnp9/uEYfEk2TGdjQmMqZpLmdTqAv808h84JgJSFqQjz/OtyWW2bkNOpcRKlSptq02apxut9ifPrS7rvNp/Fd/3SbO00O2bFqZpIqWcL7rr6FLnwD+oNOyXycoUqRT+DyR5njOOJqUFfbAgPwFREnJ4dESapHQ6RZmZJjVqZh1yyMk2fETb0LY6HAVHO2Uyi33aisXN2X5pgpcqVGzN2VmeuEDdrDOJxtiajalaRGnEONyU2JyGPNQMj2k020oMiiCDOhKBRGF/ul+6r7LyzgUszSZOjj0pixI8XdG58/KdSKkwCScYqlF5HU4zgSmTealSxTM8LMVk4I9LPweWZhLFcakER5UqUsplCtw2CFFMAafRDMcoJqNxEhXTlywlmBe9qonCLPGXkxdjXla5ipbdrAwaWExOdh+P4LJ3iVno86VXXiIlp9VubXTddLwOvQqytud1Kgld9QRGcLl+gThJmfrBzvSvNzI52YbTxCav7qdu1dClwSwImAbHx7ar62RtP6fYpm66PPOlL2Ka5layUuyn2th/qd4lSTPiOGU4Pg7D+I73/zE+8ke+ufRvv1axGpk8HA5xXZdut8ve3t7rjkxekJW3ve1t3HnnnWd2jEdHR3z4wx/m7rvv5t//+3//lggTOMfXBs4JyxZEUVTpnyjDH1aychLjaLwsqvzi0RdJs3QjCaxu1rdOYFahKRpNo4kqVW7MbqxNFLZh1wTmZHLZIqa4bHEF2ycwxSLPWjPtnyxwzMlJ4qQoqgx8kjjBMAwsy+K21m0cRUdIiuhlVaiMotHGZKRtt+n7/VIJEhyTGluzMRUTP94ME4DjiUmYhBz2egghabdbG9O/htmc78/CVM2dsra23ebI75dq+qEoHC0ijosEL0M1iyf8K9MXKSR1vU6/RN4Eu0smVakU5EJIptEUT/fYn5UTDEM1EVR3wCw6WSzNwtVc0nknyyqZ8/Qas3haOhGRQuJq7rKFfltUKxT3cCFhMonThJE/2rgHTuO3MdUixKGMdBZmfJtpON2Qb2Ucn0vLalaau08WQL6ebTSlCF8QCASS/VFvPrlcmPZzTNNc/q9h1yvDAXb5W1ZhqAZBFHBz/ya6rnPbhVuxdYcojpbSsdNMTqRQUBWlgqwJDK14vZ3bIDB1cym7c3SnILlxwmg6WZ7Labwpp/OvOEzCcsmsazrz/pqT+3ewNYsoSkjTbK0zZftrlRdTJknCpD8CTZZ6M05zXqtRz5qiUTOLaOcf+shfZa/RKv3brwdEUbT0vSwCbTqdzlI6Vqb4mEwm/MEf/AG33347d91115kd02Aw4KMf/SiXL1/m53/+59F1/cz2fY6vf5wTli14o4RlYa5feFb+MJOVk5jFM37/ld/nV6/8Ktfia9QaNZpWk2k8rZwwrBIGVapL0tEP+hvyjNNOYNp2myzLClN7SeLVaSYwi0WsIhVuTm7uXBwlSUFezNRkf7pf6PbnvpdFWk3NqBUEIfYxVKOIia64FVtWi0Ew2FjQLo4rnkf71oxiKuFHAYe9HpquFx0rJ27RhtlkHI42Ft6mauHNJX7DYEjDapyKrHTtvZ0+E03q1A2PPBcoUmF/Uk4wTlsy2bHb+EmApVqkeTbvqFk/HykK2VVlgaTV2SqVEgjqZhGysCBQu3wyx8fVXU474jih1+thnpC9FNHDI1bf+MUkRBEK07DwO6lSrbwOpyE1e06X/S0EQpGSmlmY1kUu2K94Uu8aNtOoPDZYVTSEKFIBd2ExgVGkgqEYhHFUtN3H0ZK8JElC22uRKhmmae7Uv58mhayuezzz8uoT/eN/0xUdz3CxFIsbw4NS4neqaUbFtKc45iaHO0INdFWf9+GY3Oz3dkYmw/ZksDeyzWmileu2hx+F1AyXLBX/f/b+O1ySu77zxV+VqzqncyYoJ5SlmZFARIuM8jkCY4xhwWuM+a0DYF8bWHuD19jstcF7vWCeNfi5Do/3eo2ZGY0ABcuABDY2tqXRnNEoRyRNOKHP6Vy56vdHdfd0nw7VEkeaoH7/w8Oourqqu0/39/39vAPVRn1AGhZnyHddF7PWJJQgM4asTNK9Mqrf5qzZ0/i1m35u7GNPRvi+z9raWnf64nleX2RyL3FoNpvce++9nHrqqZxzzjkbdg21Wo25uTny+Tx79ux5SQq5pzi5MSUsQ/BiCMvJaq7fKKytrbGwsMDWrVs54+wzeKT8CAtLCzyw/MDYUr1RHhg4WgzZSXsyFCPWkA5DiiM77fFy1B7f8U6ktTS2b7+gCYwqqWS0DEEYULH7/SWCIFA0ogmM7/uYlolpmji2E8UlG1FcsizLbEpsou7Wh/peehFNOFZjP6+lRIkwDLFth6effwo1oUaLgnXH5Y0CtQk8NaXEDEEYIAkiDaeJ6Q1fqI8jK110jfhlMmq6PdGxqK/bPZ+0ZDKv56jY1b7XRBJF0moGRVJoOS2aTjMqWRwRhdxBRu3IxcaQsjCaPjTdFmktBSFU7fqANK9gHO1J6ex+JpNJMplsd5GsiAqSKMUSkU3JTfhhNMWtmoPkEiZL/EqpSVqONXaCJ4sSiqQgCCIJJYHv+1TNGkHQ/5nLJbJ9UcfDMJMqshyzYB82gdEVjZSaJvADqq0ahmxwePUIlmXhOA6KorTjkg0UJSL/kfF/fKu9GAocOnIYI2H0vQ+9kEQJURDxAz+ahooS9VYTyz06DRVFEVVWx05OoNPzEpe0laYWUyaZS2SpWw0yegapHZlsr/Nr5JM51mImYpPEJk8Sv7y+kFNqxzl3PDmO51FM5yiPMNu7rsvK8jKnzGzBlxn72znR9Yw45qffeANvuOCKsY892RGGIfV6vUteGo0G2WyWmZkZUqkUDz74IKeccgrnnHPOhq1hGo0G7373u1FVldtuuw3DMDbkvFO8sjAlLEPwQgnLK8Vc/2Jx+PBhHnroIc4///yB/HY/8Hl09dGu76XXaJ3TcxNPYDrlkrIoj/WYTDKBSapJcmqOpteMjZNNKFH877AJTK8EreW00BV96G53EASYltnuq7Ao6kVsxcbQDRRVQUDo+l5C2l6cwI8NH+igaBRZtVZpmS1WV1fJZrKcUjwFVVL7CFrBKLYnNePJSnS+/slKqk00omlORK6iBK/xC2YYbcRXJTVKbAtDGk5zIk9HRku345fH38Pm9Gb8wIuSs6za0CJMVdIQEWPJw2xyhqUhn6mMlkGToi4JL/AiU3fgYds2KytlMpk06XS67zEFoxBLutc31UuCRFpLo4gdMtaaSAoWXWM23iczhEDIokRGzyIS+W1SSjI2qSulJWk6rR97AiOJEsVEgTAIqVtNmlarXVYZmfYlScIwDLYUNtP0zJGmfcdxcGsOgRYOvA/99z+cZKXb7famY0fT0JjpSiGZHxsHDZA1slTNmGJPfVhPTlSgqcsaLdMmDImVTOlKNL2Kk8s5/vjfQ0VS2kb60aS3kMihiCpN06Rh9X83u67L8vIy2UyGTCYT45ESAWHs37ckRMqG9ccoksznPvDr6Ko24pGvTFiWxfLyMouLi6ytrSHLMqeccko3MvnHXc+0Wi3e8573AHDbbbeRSqU24rKneAViSliGwHXdWJ9EB1O/ymiEYchTTz3Fs88+y6WXXkqpVIo9/snKkywsLvBM9RmerT4b690YJdnqeExaXouG00AURPJGnnJMChJE04iyWY408+3EMTcYnHJktMzEHpgOoVLEqPBxGKESBIG8lufg2sEoccyyEEShW1Spamqk7hdENqc24/ruUN/L+ntZMVdoNBpUq1UK+cLA7lZCSZDX8rS8FhWzMnYBE2ewhyhNaTYxg+05VOzq2ISxSUsmc1oOL/DQJB3LM7uRub0wFIMg9LFj3o/1kwdRFMm0py8dAicikVJTsXKxgpFnNUZyJSKR1dOIgkSr0eJHh39EMpsmmezvuplJlGIJXhSJHBGfUdBlg4Kew/Tsdonk8MXdTHIm1m+S0dLUncbYBaskSaSVFLKk4Hpuu+9k8LjepLJRmMQDs15WldZS6HLUoVJp1qKkMV9iubYSxY3rOrp+tKwSomCV+loNI5UgmUqOvrf2dGXcpomAQFrPoEkKntfuVxny+zGcaPRjkqnIuBS2DjZnNuP7Pq7rUe3xvfRio0z7L/SYhGqQVJM4rsdKW6aUSqU4+5QzXvTkZJJjrjznEj78lveMfewrFaZpcu+991IqlSgUCn2RyR3fS7FYfMFpXqZp8r73vY9Wq8Wdd95JJpN5KS5/ilcIpoRlCCYlLL2TlakErB9BEPDQQw+xtrbGtm3bxu5gjsKz1WdZWFpg3+K+oelMk/SXdI5LKknqbn1sXDKMX0B3pxxhiIBAxa7E7mAbitE1gfcirUWlix0ze8ej0DuBCQmx24lJlhkZh3VN59TCqTRpIrQFXb2+l16j/UxyhqXmErVajWazGXWsDNld7JAawvY9qlmAiGz0vLYlo0Q5hqxE55tpBw+ECIJIVsugiCott0XTPfo6zCZm2kb80RAQyBuFAemWLumRRCj0qVk1RFFCFmVazvhd5byRo2JVxy7ADcUgr+exXKs9fRm+4E8qCWzfif0MdJLKmo0mlWqFYqHIbHYGTW7HPls10mqKhju+30VAIKNnqFoxi/4e4iMJUYqcJEi0XLP7+iTVBJZrj93NFgSBlJocSg77nm8dyVAkhayegUCgYtbwfG+irpSJPDCihCRKI0mpJquktQyKoLBYXca0I9mlaVoEQcfvItJsNjl7y5nY4vjvjtlUaai/pxfrCVQn/EEQBGqtBq7nkk/kYvtk0nqKujX+tTYUA8uzxk88ZIUgCLr+PkVWyWhpCCJviRf4E0UiC4IQtc2741MzX2x5peM4VFcrbCltIZPO4nsB1RhvykTFlIk0lSE9O7987b/j/FM2zkB+sqBDVmZmZjj//PO765gwDPsik1utVjcyeWZmJtaDYts2P/MzP0O5XOauu+4il8u9DHczxcmMKWEZgkkIS8evMp2sDMJ1Xfbt20cQBGzbtm2giPDF4HDjcNT1srif52rPUTSKrFnx6VmGYiAidhfKoyYmvf6SOJQSJSpWJYoTFkSqVnUguhkiUuK0u07GIaNlSCgJTM+kZtWG7oaGhLi2ixZoHKoe6i6+It2+jiiI3ftNKSlkUeZw4zCra6vd+GhFHoyPHPDz9EAQBLJaZCoXEVlsLhGnP+slK8OQUBIk2iWNR5pHxr9/YQ+ZGgNVVMnrOYIwpOlGzerDkFZTmL41NukJ+iVeoiiSVTNIgoLptmi2J3myKKNKamwcdilRYrm5HBVzNhpDizkTcoKUlsQPQupWfWTs8yjpWS+6RGQEyUooCZJKElmQWWwsDfhQejHJtCOjpak59ZEfC0EQyOk5NEmjbtVpjojoBSZa1E9yTZ2oY0nseNwiz0m9Vader2OaJoasE0p0Qy+GmfYVSSEMw7GEVEBAV/SRKYcCAlkjQ0JJUmnWaI2RaY0z23fw4048It9fhpSSYqm2NpaMFNMFyjFxx/lklrXmeAI9zNjf8XCl05EsMm2kaFktMkYGCZlaqzlQApnWk9SHJJX1IqkZQz9jxXSO//pTH5/+Tq+DZVnce++9FItFLrjggrGvTycyeWVlhUql0o1MLhaLZDKZPumY4zh86EMf4rnnnuM73/kOhcLJn8o2xUuPKWEZAs/z8P3hP/hTc/14tFot7r//flKpFJdccslL0l5bNsvsX9rPwuICT1WeGrnbmNEy2L49utm7Z2IShiGrVrxhP4rn7Z/29C7s624dy7XGdqf0Qld0JKQuoeq9pqpd7T5eFCNZ1Kq5GpEX1+0WVXr+0bhkXdPZnNnMYmOR6mqVhJBgdvMsDa8xmKg2gRwLjqZkJdUkCTmBEzhUh3h74sjK+ueVRaVL+mp2bWChPqlcLKNl+rxGSSWJISfwAo+aVSUIw7ZcLIglj3HliUcX/AqLzcWxhCutZmg6dVYra5gtMyKN6iBpXO9b6QRAWK5D3aqBMDw5bNhrkVST8VPEto8r6pjJICDSsJp9r01KTdJyzfETnxcxgTFUg5SSxPWiyViHME3Sp2KoOo7njJ0KiaKALutDSavgCjQqDTK5LEk9yaHVw1HoheMgywpGJ7FPjnw0E8nTkkVWmuMJRM7IUWlHdSfVJIZs4HgutZ4pQDSBMBn3/k5SXCkKEookx37OE1qClm32+V7WRxJPav6PC1pYb+y3bYdyeYVMJtP1MwzrgskYaTRRw7RsGpY5kRxsVD/L9Ve8hWu2/8TYx77S0CErhUKBCy+88AWtYxzHoVwus7y8zPe+9z0+//nP8+Y3v5kbb7yRd7zjHXz84x/n0Ucf5bvf/S4zMzMv4V1M8UrClLAMwSjCMjXXj0dvEth55533shC5TtfLwuICj60+1v0xL+gFak586aEma13zeUaPOiCqdnVgF15AiHbLJ1jgb01txQs9Wm5raFt7B51izFGmbkmQoh1iREJCyiMSrVzPxTIj07ERGpiiie/5yLJMsVREFMRuoposyNSdOmk1PdG9zCRm2sWE/V8TqqSR0TKEYUDVrpLT8y+IrAxCIKtn0ESNlmeSkBOxHSqj5GK9kEWZgl5ARGLVWh3rN8rqWerOcP9B/z1EkqtOqIJIlJTW+z6qkoYAHF4+jOM4lEqlofrvON+KKqnktRwhAqut1fGxuhMESqTUFC23NYSICGS0VNTh4zgI0O2KGfl8Eyzo01qKhtMcuqlw1LgvYrvuQCrcekwSUTzKIN9oNKjWqpSKRWZzszieE/39+T6rjQqtlollRb4xSZLIJjPImoKsKCNN+6Igoskq5piUQ4CckaFiDnqhNFkjrUXJZxJSbHraJKWUpVSJlbgJ1Ajzf0QmU7iuRxgKsVHGcZ0qMGjst22bcrncR1ZkSSEM/LFJfCk9SVJJYjkOtUZj6LeMQCSHc9YFNoiCwG+/7xPkU9mx1/pKgm3b3HvvveRyOS666KIf67fasizuuOMOvvnNb3L33XdTLpcxDIPf+73f4/3vf/+UsEyxYZgSliEYRlg6kxXf96cSsCHoJIG96lWv4rTTTjsm12C6JgeWD/Do6qPsW9wXu8s4ijB0ZCySIFFzavh+FGc6UWTyuuSuzo687dt9Bu6snqXlxvtvNFmLjPpug6yW7cb6rpcidSYwhyqHWC2vIggCQRCgqAqGbqAbelcSNpucxfKsaHHqDS+YhHYkcUyze3S+Tbi+29NpM1weM0kLfOd5604U6ewHPlW7OnSnf5IWewmJlJaialcBIYpNljRM3+5bICfVBI7vxr4f45rlU2oKQzEiSWkY8tShp/B9n1KpNHTSmNOzVEdIALsI210q1lokL9KyUTiAY9Lo8UXljRxrZpW4CUxCSYwl0dE9zlC1amS0NGEQUrFqA9+HSTWB5Vljpx0wmdF8JlVkuVkmq2VQJQ3TNgcWwpMY9pV2uaPbs9kQEkW4NuqNbt/E+muSpbbnBIFqs0a92URH4/DaYYCu7FLX9b7v/Ukimie5bkMx8HyPtJ5CRKLWagwQ60nM/9CZnIwnEZMkkc2mZwiCkDCg63tZj4nkaZkiy7XomE46Xi6XJZlMDj1mFHonMFEXTQp8qDYbeO3PYCGVZbUxeF8Xn3Ye/793/czY87+SYNs29913H5lMhosvvnjD1jK+7/OLv/iL3HPPPbz//e/nnnvuYe/evbz2ta/lpptu4qabburzyEwxxQvFlLAMge/7eF7Pj940CWwkXmgS2MsF13d5cOVB9i/t58DygQGNea7d+D7Me9ILTdK6ccINtzFSqw7xEiZN1kirUflf2SzHTn8SaoIwDIc+Z2dxbHs2DadBRsuwWFukvFImlUqRzqQJguBo3KtlI8syW3NbsUQLWZG7pn1DMUgqSbzA6/p6ZhOzQ4MOJrnntJbBkHQs3+qStBcqF+uF1C4LFQWRul3H9u2J5GICAnk9P1Lqp0nR+0EIlm/TiJE2Det3GXqclufJg0+SklNs3rSZutMY+Jzpsk4QBiP9Kh2M860YskFKTREEAS3XHPvZhBfQy7JOCiYKIlktiyzKNOwmpmOR1TNUY+KQJylJTKoJTHewB8ZQDFJqWzpm1kioidg29vUEIiSkVqvRajYjOZ6ixpr/BUFgJlmCUKBuNqg0qt2/Id/3u4ljyUQCTdFiN0WyRobqkOlKLwavKZo2qpJK0zJp2S1m0iWWY6Yrk6SHZYwMtZjrMVQDyz1q7BfbnSq9fS+ypBCGwXh5GgKyrOB4DpZlUS6vDpAV6G+kH33dw832Ud9LBhEZQoGV2uDk6KPveB+XnXHB2PO/UuA4Dvfdd19Xsr1Ra5kgCPjkJz/J3Xffzd13383pp58OwKFDh7jtttv4xje+wbe//W1OO+00Pvaxj/F//V//14Y87xSvLEwJyxD0EpapuX40NiIJ7OWAH/g8tvpYZNpf2o8qqROVLQ7rWEmpqcgg35PIJQoiBb0Qaw6Ho5HJkiCR03JRr4pdGfjhz6gZrCA+MlmRFNJqGqtlcXjpMHJKHlgQQEQs9VDnUOVQJHsRo64K3dBRVbVLXhRJYdaIJjAVu4o/ToI0AWnQZZ2SMUPTa1K1KmM9EZN5agS2prfi+S6WZ1NzRiy+JjTsy4IcTR3cRhRtLCpREea6xX9KjaZkboxhP6/leeTZR5BlmUKhEHncEMhoma70sOVYpNREZFYfg5yei+0BiiYwOep2nbSWRRJE6lYD2+9fSEfnGj+BERBIaalYD8yW9BY838Px3JGLcUPRcX03tg+n198xCptSs9F5Qqia9aGhCes7XkJCKpUKlmV1AycmlXD1SqaSapKEksB2HMr11W7ceAIdU7DRdQPD0IfK/SYJETAUHcuzx34XpbU0CSXqe6kNSb/qHjdBytgkXTDjyVHU95LR0lQa9QHfSy86BOooWckNRHnnE1nWYjwwkySDJVQD07FIG6k+30s2keZ3fvqTU/k2R8lKMpnkkksu2bDXJAgCPvWpT3H77bdz9913c9ZZZw09rtls8u1vfxvbtvmpn/qpDXnuKV5ZmBKWIYjy693uZAWm5vr1eCmSwF4OhGHIU5WnuuRlVC/LJC33hmJEpnFEDjcOxz73MMM+0PWXSIJEza51ZTuxhn1ZRxIkjqwdoVarUSgUyCQyZLQMCHQLJkUx2iHvRCaHYYhlW5HvxTKjpCNDx9ANTs2f2l3k9+6s1+1+qVfUYB8/gemdrEQm72yPyd4eetw4rCc1ndQ3PwzapZfB0OOGQUAgp+dZGzKBSSpteZfnYns2gkDsQjclJXni+SfRdI1cLj/S+7AptQnfjzT7Vas2tKjzx53AdIz7tmtjuhaiIA6QmPWYZAKTUBLY3tEUMlVSIy/TOulYPpFnLcZEX0wWKccY1jVZww/87t+CIETTB0VUaVqtrrm+1/wdErK2toZjO5RmSshSRCYmkXBl9TTVERK2TmRy6IdUmnWqjQqmaeE40fSyIx1TFBVBmEwON8kUqtfY3+t7qTTr3c/OJP0tSS3ZjhYeX9xJXDKaIKApGpZjkVAjyavjetTW9b1kjBSLqyusrq6Sz+dIJBID5yqkcqw2xl/3MEP+egyTpyVUg7dd9EbeefnUbO+6Lvfddx+GYXDppZduKFn5rd/6LXbt2sU999zDueeeuyHnnWKKYZgSliHwfR/Lsqbm+hF4OZLAXi48X3ue/Uv72be4r0s6CnqBqlMdK3eAo4b9ul3vyr1GeS4mTeQqGkX80EcWZZru4E5/Bx3/zZHyEVqtFqVipM/vhSiI5PU8uqyzbC4PJV8hIY7tYJomqqdScSrdqFdd69fsp9WoO0YUJI5MQNCONt0Pt8h2muBFYbLI5DiS1JGOGXKC5dbS+MX+C5jApLU0oiBG3TvWYCADgBIqPH/kefSEQSaTGUlW1vtuZFEmo2ai6N223E0UxIlKKyf1wMwkZwiBIPCpmMMJUiTxqjP2PQjb/ocRPTAdgpuQE6y21sYSPKXdaL/eIL0ecSlcSTVJwchRNRtRYSUhq6ureJ4XeYfE6LtJlaOELW9E+mMHE0m4UkUqZiUi34isNarUm3VM08KyLERRZHN+FhsHTdNGbnR1pgLj3j9REFEkZaj0rBNaICBAIMTKwUrpIisxnpNJjP3FVJHyEJKlyhF5DfzI+3Jo5Qirq6sUCoNltRDd/6gI8g4USY68o2Mms5H0TB74LAmCwG+/+9copHJjn+Nkh+u67N27F03TuOyyyzZsPROGIf/tv/03/uqv/oq7776bCy6Yyu6meGkxJSxD8JGPfATDMJifn+eqq646oRfkG41jkQT2cmGpucSB5QPcv3g/P6r+aKxMo2MIH9ZYr4gKWT2KJq7ZNdJaejLD/pBOlK4ErV0wCdH0x3RNFlcWcR13ZAKVKqloshY9ToCsmkWVVVpOf4GjKIjkjBzlVhnXcTEtE7Nl4geRZt/Q210vothNour0vbi+R9WqDCy6Jo5Mbk9WEkqCpJrE9d2h53thE5gVugZ7WcP0rIFggRc7geka30Wl/Tq2CN2A8soqelrvJh8NQ17PUxlyb73PmFHTZLQMNbsW7c6P+PPqpJDFTU3W36ckiGS0th/BrmN7NrIoR0b+GA/MJClkmqwTBD6u75HSUhhy5IdYL1WaKA54gshcWZSQJQXLtaJ7WGvheh6JbLLvVZ4kYWyScktd0XH9/mjl7tRHUGhYJpV6BbyQ1fpaJMVs9yVpmta3WJzk+SZJYssZWapmLboGSaVhtjDXEQFd0bE9Z2zpqyhIyJIUK0OdZHJkCDqLi0tsmtmMTziUmL7Yycl6jOqLueTU8/nY2z449rEnOzzPY+/evSiKwuWXX76hZOW///f/zle/+lW++93vcskll2zIeaeYYhymhGUIbrvtNv7mb/6G2267DcMwuPHGG5mfn+f1r3/90IXhKwXHQxLYy4U1a60bl/zk2pN9E5OslqXlxSd8yVK0ew6MLZiEyRaDhmJQ0As07SaPH3yckJBisdjdRe47VjYQBGFksWFSSZJQI3mPKIgDXomQEM/zMFsmpmXiOi6bM5uxJRvd0Pues7c7pmJVKej5F0RW1pMQRVLJahmCdhdNXsuxYpYHjhs4nzEz8jhDjgiWF3oogsKSOYGczYifwIiuRLPcJF1I48v+SDKSVJI4vhMb8tBLMHRZJ6Wmo8lIj3QsIk0ZKnaM9l/LULfrY3fwM2okIayaVepj0sPSaorm0DjkfhSMwtA+lWgCmcIPAkREyq3xC1VRENEVLXYHvrOgD4KAcrkMAhSLxegz2Y5MDvyAVbMy9uMzqb9lEqK1JbMJz/exXYflShnLiiYvnne0L6mYKWL5NnGpbqOmK70YlkTWIYu241Az6xMt/CeJRJ6ERIZuyKGlwxQKRQwjakPvhAi0TIumbSKJMoJAbImroeqYzvj3JGukqQ7pi/nY2z7IJaeeP/axJzM6ZEWWZS6//PIN23gNw5D/8T/+B3/0R3/Ed7/7XS6//PINOe8UU8RhSljGwHEcvv3tb7Nr1y5uvfVWJEnihhtu4Oabb+ZNb3oTijJYAncyIgxDnn76aX70ox8dV0lgLxcaToMDywdYWFxgqbXESmslduGmy9GivtkTPdtXMOnUsTwLAYFiohgbzwuRnGipvsTyyjK6qnP21rMjkuBU+rpDkkoSP/RH9rt0IIkSaTWN6Zlj5WwAWSXL82vPY5kWjuOgqmpXOtbxCABsSm7C8R0ksbODP/waXsjExAt9JGF8ZHLRKFE2V2PPV0qUqFhVMmoaQRCp2cNJ5CQTmEa9QdgMUTJq5F2QoiJMgKpVw2ufVxFVFEmh5Y5PucrqOWpWjZDB1/9oJ4+EJEgsNhfHnksRFWRRHjoB7EVUChp99nQ5SubyfZ+qXet+DkQkEqoRG4dcTBRjpxiSKGHIOqqkIgoSNas+dEd/kslCx2jv+R4rK1EvTrFYHJj6ZvQ0AmK0YLZbQ5vQZ1MllmKeL6Ono26aGOKjyipWm/h0PCe+77NSW6XVamGaJjoaFnbb92KgKIMbYZP4WyaJKE5rKXTFwHU9aubwniEBAV3VByYz65FL5KiMCRJotVqErQAppaDr+tBjkmqCvJGnbjapNkdPaibxt4wy5BdSOX773b92UikAXgh832fv3r2Iosi2bds2lKx86Utf4g/+4A+46667uPLKKzfkvFNMMQmmhGVCuK7L9773PXbu3MmePXtwXZcbbriB+fl53vzmN58wpvMXihMlCezlgu3ZPLjyIAuLCzy48uDQ3c+4QkigK9FKqSkqVqVPojUMM4kZDlUPsVJeQdd1crlcN9mr21je7l5puI3Y6Y8iKRiyMeCTkEWZbFsXv2atEQQBRaPYN2nwAz9KSzItbNtGViLD8WmF06i4le51IbTN35KG6ZrdBe+kZKVoFFm11vpkLGktjd6OTO5I5ApGkTWzMnShv/5860nN0QQvjZbTpOk1Y8lKGEK9XkO2ZKSMjKYO/u13yKkqKYQhseTHkA38MOgLIhiGUqLISmuVjNbuk3GtwclICAUjz6o13vSeUpKYnjXUq9UJSBAQkAU5liAZsoHre7FBEcOM/dHue7t/xWmOLZtc/7jV5horKyvISjuVbZ2GbthEpJP85bgOVbOOpmj4gRfrb5mkU2Vcwlan70UVVZaqZerNWhQ5bkem/Y50TFFUFElCFOPlWZMQll7y1/37DqHSOpq4NsqX0ou4FLJmq0W9Wo8mXOrozbxecqRKUS9O4IdUGvW+zZJcIkMlprxylKzspiveyTsuedPYx56s8H2f+++/H4Dt27dvKFn5yle+wu/8zu9w55138trXvnZDzjvFFJNiSlheBHzf5x/+4R+65KXRaHDdddcxPz/P2972tqEGwxMRruuysLCA53ls3779pCVlLxZe4PFI+REWFhd4YPkBmk5z4n4XWZJJysl2oWFboqUkBgomIUoXe3btWVbLq6TTaVLp1MDCDI52y6S0FLIgU3NqQwlVJ10sjiTJokzJKOGFHnWnPvRcQRBgWiaGb3C4fhhJiuKSDd1AUZW+60woCQp6gYbT6Pa9jELBKLK2jqwM3odB0ShgeRar5trY8+X1Qts/Mp7UbE5uJgh9bN+hZg8a2sMQKpUKuqchZ5VuGecoRASj3NebU7Nqfd4UWZAxFGNkgWcHaTVN020Odpa0+1gi/0+NmWRpZHdLB5IgYsjxJZIFo8CaVSGtptEktevb6UPYG5s8GpNEGKfUJGktQ8sxo2nTiJ+nUrLEkdoRVpZX0DSNXD438DehyCqE4Vjyrsoqs8kZWo5JpVkbOTktJvOUY+KAFVlpP9940pZL9HhORJVaq06lXu1GJguCwNb8Fkyssab9SQICFEklDP2h8dJRQW7kZwr8MDbuuJQqsDLC2N9stqhUK5x/+qtoeOO/V0a9lpIokdUzCKGI7wWxZEWRFILAHzDkK5LMZ9/7GyS1wVSykx2+73fTO3fs2LGhZOXP//zP+c3f/E1uu+023vSmVyYZnOLYYkpYfkz4vs8Pf/hDdu3axS233MLKygrXXHMNc3NzvOtd7xraiXEioJMElkwmufTSS6fBAzEIwoAn157sJo6N688YJhdb/9/TWhrXc1EkhR+t/Ii1ylrUY5AY/nkqthf4fQuunglHy42M9gk1QRiEsVIhWZS705++c8n90xI4Kp8KwzAq2bOi6YsgChi6gWEYqJrKbGK2GyrQicMNgoCqVe3G5MLRRfI4sgKQ0/PU7Rp+6HeDDgAqPXIsiDxHDafR9xzDkNfyVJ2jkjhFjLw0IWHXf7S6ukYiNFCzWuzfxKjIYU1WSasZgjCgalbJGtnYUAZFUpEFGdMb32JeTJQiVoVA1aqOnHj0SsFGQZO0KEVuXdraUXLtUDNrbf9VTNqaKCNLclcqNQozyaj1HkBtS+zCMKRq1rqLblXWcFybw4uHMXSDbC47lMBPYrTvnZpEC+bI91I167hto7goiGiKFiuXmiQ2eVQ3S7rtOWnZFtVGjZZp0mjWCYKOaV/vBl8cvfYMlRjCMom0rpDIs9pa67uGhtX/3ZRQo+6pYcuFZrNJpVpltjRLMpGcYCo0WRKb53vIgkLLMmnZg5+bmUyR5drg633Vudv54BvePfb8JyN832dhYQHf99m+ffuG+W3DMOSv/uqv+I3f+A2++c1v8uY3v3lDzjvFFC8UU8KygQiCgHvvvbdLXg4ePMg73vEO5ubmuPbaa8lkMsf6EifCyZwE9nIgDEOerT3LwuICC0sLfY3xE8nFiKK0c1qOgysHCVoBpZkStmgP1Z9343lj/pJLRtRJ0XSbY8sB109/hiGpJknICWRB5nBzMOI4JMS27C55ycpZbDky7K+PS+76MwSJMAhZtVZjyUpWy9F0h3fVCO14XUVUIkLkjF64d5DRMrScFl444rgQ7KqFgoqeM3CC8YuyYqJEeQJf0mxqFs/3EASRul0bGsUsIJDVs7ElkoZs4AU+bvvaOo9TRJWm0+wGMBSN4sj+oV5MUlxZMApIgtQmnrWRRZGTmNVTapKWaw6dckjtLiEBEd/xeOjZR0gmk1GE9BCyMolUShAEkmqShj04Zeokf8mCgiyoHKkdGXuupJqgNWJB34u0lqI+5Pl6sblt2vc8j+VKmZZpYllm17Sv6zpbCpvHhiRAtCkQjJiuxF2TobSndq5HtVWjmC4MjURuNJvUqlWKpRKnFLZO4LkZbpDvu25ZxfO9vs9BUk2QUBJYjkO91URAQFNULHdw6vvpG3+RUwtbxj7HyYYgCFhYWMB1XXbs2LGhZOVrX/saH//4x9m9ezfvfOc7N+S8U0zxYjAlLC8RgiBg//797Ny5k927d/PUU0/xtre9jbm5Oa6//vrIg3AcEoFXUhLYy4XDjcMsLC3wWPkxnqk+M1G6WFJJ8syRZ7DMdlO3EpmoM3oGMRSpOBU835s4PjirZWm5ra5UrVO46AZunzyrLwp5DHrDArodNKFP1RreQfN85XlM08Q0TYIg6Or1dV1HFKJd42Lbi5JWU6iyRtNpDE05y+o5mhMUa6a1NLZno8k6hqQPjTcGSCmpqMV+hIzP9wNWVlZIqylS+RQBIWk12o02XXNgsZczctFrGvPVOuDnECCjptFkvS96OvL8xEm8JBJqYuz7llJTpJUMpmvGEpFR06FeyKKMJmnd6+wlnjWz3iVfxUQhNhVMIHq/ajGfu6SY4PHnn2BLYQuzxdnIRO/0f0ZEUcCQjYF/X49Jpg+6rOEFPrqiRxHNjj3UxzFJq/0kJnpd0XB9txubHKWdZQgDWKmt0mg2sSwTyZfwRK/7NyTLykD3z0TTlWQ+VgqW1lJosk4YBFSbR//u6o0G9VqNYqmErmroqhE7hSokc6zGFFzGTao0WaOUKNJyTKqNOkHP39k5m87kk9d8ZOz5TzZ0yIrjOOzYsWNDw4B2797Nxz72Mf72b/+W66+/fsPOO8UULwZTwvIyIAxDHnroIXbu3Mktt9zCQw89xJvf/Gbm5+e54YYbhibbHItrfCUngb1cKJvl7uTl6crTA4taTdaQBZlnjzyL53kUS8W+FK4OREFkc3IzTuBQc2pjZRgFvUDVro6URHXSrYRQwPKtWF+DKIjk9NxQGVPH1EsIVadKQS/0TZhCQlzX7Zr2PT/aNd6a3Yol2Ihi/99BUk2RkBNtk32tTVaafZKvYUipKRzfHTCxR36Po0QtMrv7I/tMPC9KoMroGbKFXHd6MXjOyEMSBCEtrxUb15rXc1Ts8aQmoU7u+el4ZcZBFpV230oLTdIiWVrgU7FrBD278Dkj3/aaxCeujZaVRdHLuqxjulZsb8ckKV2+47FaXsXIJEglj/bdRLvvkRSpataYTc2w1BhPtiIi4sVOH4bJynRFJ62m8HyfSqtKzognK7IoIYlybETxuEmUKIhkjSwJJcHi2jLVRrUbmdzxjum6gaqqaIqKH/ix5beTdKr0EgipfQ31aoNDS4fJ5nOoqtomY+NJaVJNxJJIURCRRXl86SuQMdLUzBqy1Pm+Eag2mnzoTe9h+xkXj33syYQgCHjggQcwTZMrrrhiQ8nKN7/5TX7u536O/+//+/+Yn5/fsPNOMcWLxZSwvMwIw5DHH3+8S1727dvHG9/4Rubn57nxxhvZtGnTy05epklgxwY1u8YDyw+wsLjAY6uPoUs6ru/y/OLz0QSjWBxa9CUKInkjf1TW0ymFlFQabqOvALCYKLJqrsbu9neikF3fbe+SD++NkQSJjJZhLSaBCmA2OYvjOyiiMjIAwPVcdN/gcOUwruugqhpGOy55vUekmCghCiKe746MX+7cixd6sYvDtJrBUAz8wKdiVfHXycFc12VlZYVsMkshX8Dyx8v4DNlAEiR0We920gxbMKa1FKZnxZMao100GYY9XTdt6VXPtU40ZQshbxT6SjA76E0Es10Hx3di08omlbxF5GeNhJIkqSTboQP9C+SMlqIekwpmWiZ+3UNIiiN9XAD5RB6JSKJWMUd/Rjq+jbHXPkHniCop5I0Cvu+zZlbxRySNTULI0loqknmN+VMVhCi8oum2yLbT7Rpmk9XaWuQfM6O//S35zVg46Ppo0/4kr4Eqq/i+12dsr9fr1Ot1ZkozlDIlFFEh9IkNJZhkwjSJDyiSlQ16YEqpIv/5hl/bsHLE4x1BEHDgwAGazSZXXHEFqqpu2LnvuOMOPvShD/EXf/EXvPe9792w804xxY+DKWE5hgjDkGeeeYZdu3axe/du/vVf/5XXve51zM3NcdNNN3HKKae85ORlmgR2fMB0Te57/j5u23sbh7xDpLPpoe+9LMqktTRr5ujFQVpLY0gGkihF/pKYv/CMmsEKrIEpTbc3RlKo23W80COpJKnGpEHBkCLMIQEAEPWnRIQqwPf9tmzMwnFsFEWJdo0Ng2KySMttdScrshgt4AUB1qwKflumklASBGEQ6xHSpCj4oNONIgoSWS2LLMpRy3yrTrm8Qj6Tp5QvxSaqqZKKLPZ3rYiCSFbLIQlSt1VeV3QIQ6wYMpVSU1j+cFIjtv0ckiAhILbJStw0JF5WFnlecoRhgCppNO3mUEleUkli+3asJG9UGaoqad3AhZpVR5O1kQEUAC2zhVd3UdIKhjE6+Wm9rEwWJTJ6FiEUqFn1rhRzkoX6i5GViYJIVs8gCTJ1q4nd9lfoio7rO12Z1yjkE1nWYgjSqEV/Z8pkOTb1RoNas0az1SIIfHRdR9cNDKPHtB+2Y4pj/DTrZWW1Wo1Go8HMzEx3N78jK+vERduuS61Z70vC0xUd27PHktJJu2AKqTyrQ6Y5N++4nrde8Maxjz1Z8FKSle985zu8//3v56tf/Srvf//7j7n6Y4opOpgSluMEYRjy/PPPs3v3bnbv3s0PfvADrrzySubm5pibm+OMM87Y8C+OaRLY8YNqtcq+ffvYvHkzZ51zFg+XH2ZhaYEDywe6ExNVUtFlfSD2eBg6u+4JJdFtWR9mos/pORoT+EE6qV4iIi2vNVY2Nl4qFCGhJMhreRpuYygB8oMAy4wSxyRXwhc9FF1t91QofTZrsT310SQV0zNjXx9V0lAkheaIe7AsC6tqsbm4mXQmEzu9kASZpJKg5ox7XoG8lkOXdOpOncaYBbomawgIsaQrraUwXYuEmkATVUxvuJyvaBQom2tMUtK5/l5TagpDTmB5NnWrhihIJJT4EsmMlqHuNGLDE2aTm3ADF0loJ3Ot83c1mw0atRYzpSKiMv77aZxnoxNAoIoKtu/GGvInkZVpio7vu8NlZQJktHREjJE4UlsaPKYHk3hgJpWVbUrN4Ichvu+zXC23yyotPM9FVaO/oa2FLdRiYrR7pythGJGVVqvZ9dR1MExW1i3M9ILItJ8sxE5Oiqk85cZ4IplQDVqOyfrPsqZo/O78Z6INgZMcYRjy4IMPUqvVuPLKKzeUrHz/+9/nve99L1/60pf48Ic/PCUrUxxXmBKW4xBhGHLkyBFuueUWdu3axfe//30uu+yyLnk599xzf+wvkkqlwr59+6ZJYMcBlpeXeeCBBzjnnHM444wz+v6bH/g8vvY4+5f281j5sdgCv14z/HposkZGzUT+DbtKXs8PRAoPw7DeloSSIKm2JT5tgjDuuddjJjHTjTjuBgD4HlW70rcLm9Vy1O0aDbPZ7akQRbHb9aJqKgJRqlEYguVZbfKiYQ4hVoqoosvayM6TZqtFZa1CsVhkU24TVatyVM7kD3aoiIJIRsvEmthFQSSjZqjY0XEJOXr9HM9tt9tH9yyLEgklEWs+VyUVSRQx18UEJ9Q2QfUcqlaVtJbG9MxYQlo0SpTNOAO6TtEo0XSaY0MFZElBESOvzDgUjDyrPZPC3lSzht1gaW2Zeq3OuaeeQysYv+ueVBNYnhU7xegEHXQifE3HGpgyJNUEpmuNlJN18EJikzvvi+061NalZAkCJNQkTTumPHYCE31KS0ZkuP3WdMoqBQTKtQqNZj2KHPfBE4Ku/HKcaT8iK1VardYAWZmEaCUUHUNJRj6TnrLK9ZgkQS3qghkkPm+54I28e8fJbwrv+GErlQpXXnnlhioifvCDH/Ce97yHL3zhC3z0ox+drgmmOO4wJSzHOcIwZGVlhVtvvZWdO3dy9913c/7553fJy4UXXviCv1imSWDHDw4ePMijjz7KxRdfzKZNm8YeG4YhT1eeZmEpMu2vj6YdZ4Zfj9nELAFB22tRGUlaEmqCMAz7fDHrocs6GS3TjTiO+0oZJRUCUMQoAAAg9EOqbq0r94LoNbBsG8s0MS0LAcglcxiJBKEUDiy6ovjliGy0nBYJ1Rg5gak3GtRqNWaKJTZlNw316XTkTH7gU7NrZLUcq1ZMRHAYFWGOOk6VVDJqliDwERApm+PPJ4oiKTUVkacxSKkpkkoCJ/Da6W3D3+O0mqbltmKJa6+sTBZlcloOQlizqn3vUcEoshpzD6oULbSGeWVCoF6r4ZsB5532KuzQpD5mMS8AaT0T+3qMimk2FIOUksIJXOpmnYyejm20n2ShPio2WZXbHUR+VI5YTOZjpw8dE703wiPTwbjUr05Uc0pJs1Rb7imrtNubABF5UVUVXdHxfBcvCKhWK5imSak0g6L0B4BMYtrvlbEJCGSNLLIg0zDNbi/PJHI4VVLww8EgAVEQ+e25T5FPZMc+/kRHGIY8/PDDrK2tccUVV6DrGzdN+td//Vfm5ub4vd/7PX7pl35pSlamOC4xJSwnEMIwZG1tjW984xvs3r2bv//7v+fMM89kbm6Om2++mYsvvnis4XCaBHb8IAxDnnrqKZ599lm2bdtGPp9/wec4WD/YTRxbbC6SVtOxO/3QP92A3jjafqN9Wk3jBE6sBKXXV3PUHB5StQf7T2YTsyy1xstjIFpcNt0maTUdxeRatYHFbRiCGIi0Wi0qjahosjcuua/rRZTJallEQcAP/D7TfgjUqjWarWabrGyOXXBDRLz8IEBAoGbXRsYizxgllmOmFxBJ6dbMNTJaNpJIWbWhEdiFRIHVmJhgURBIqekuOev6ORCpWbVu2tmkhZQZLU3DaQ6dOojCUU+NJMgsNsZPAQHyen4oIYzei2g3/7Qtp4MY4gUeumyQVlPRFM6s9gmCJjG0y6KEIqljiTfAptQsfugTBv1llevvV1ei6OlxmGQiYig6CSUZpeqZo6cPk/TY9JZgjoIoCtH00bXI6Gl0SadhmpRrq1hWNMEMw5Atuc1Ygt1OIbOZmSkNdHtMQtoUSSEMw5ETvs6kKwyFoSWQvZhNF1mqD76eV565nQ+//qfGPvZERxiGPPLII5TLZa688soNJSt79+7lxhtv5L/8l//CJz/5yWNOVr785S/z+c9/niNHjnD55ZfzpS99ide85jXH9JqmOD4wJSwnMKrVKt/61rfYvXs3d955J1u2bGFubo75+Xm2b9/eR14sy+LDH/4w27Zt45d/+ZenSWDHEEEQ8PDDD7O6usr27dtJpVLxD4rBcmuZfYv7WFha4NnqsyOnHHGJUh2jvSEbba/FeInGuJLJ9UQoZ+RGTlZ6kTfyg30uAuS0HIqo0HCiJLTIYB9ieSYh4DoOZtv34ns+uq6hGwapRIqMnu7zynRM+yEhzxx6mqbdYqY0w2x6djKysu51jMoqMyiiSt2pd/0nk/bkzCZmWFp3nIBARsugiioNp4npmmOnU70YF3MsCNF5NVElhNjri0iNhOmNX+xntAwNp0FKTUfhCnZraFjBTHKW5eYgaQ2ByloFy7aYLc2QTxaoDflcKaJCpt1N4odBJKmLneqVWG6OJw+arBGEPm6bNEiiGH1+kahZ9W4oxSREJPK3eLFSvF4iEk1AsiiCQt1qdqcPGT1FzR6fHtY9bkhHTC9GpXB1iiId16HRbLJWr9BoNgiCAE3TSSSiyGRJOvqbMsl0ZRIy2Sn57JZVeh7VZr0vxlsSJURBGErgP3Ptxzklf/IWRYZhyKOPPsry8jJXXnklhmFs2Ln379/Pddddx6c//Wk+9alPHXOy8rWvfY0PfehD/Mmf/AlXXXUVf/RHf8TXv/51Hn30UWZnZ4/ptU1x7DElLCcJGo0Gd9xxB7t27eL222+nUChw0003MT8/zxlnnMFP/uRP0mq12LNnz4BPYoqXD57nsX//fmzbZvv27Ru6U9ZBxapEsrHFBZ5ce7K78J/EDA8RYajZNfzQj5K95KgccP2O8qQlkxAt3N3ARRZlGk5jpKG8aBRZs9Zi/QMlo4QkSLTc1oAfJQQ818O0TBzLiUr2ZK/re+ksusIwZHV1Fd8POGfrOWSMDMvmMk7MRGkmMctyzJQorWXIqhmqdm2kX6Z7LxMkeAFsSW7FD9yoAHOM1n9SUtNZxHf9HO5gsWYnOawSE2OtSCqSIA68rx3/T8dTk9Vz1Ib0z4QhrK2t4jguMzMlNmc2x96DKEgklQSyJCMKEnWrMbSPaJQUbD3iJldZPUNCTlCz6rHpYZNMRDJaOjK+j/gF7rwvhCJL9fGvxSR+GlmKfCquN77DaCY1w9LSIq2WiZrQsBwb0zRx3ci0r+s6pxS3xpr2ZVEBRk9XOhg2qYkmtREprbbq5JM5lodMVy7c8ip+8S3/fuz5T2SEYchjjz3G0tLShpOVhx56iGuuuYaPf/zj/Of//J+POVkBuOqqq3j1q1/NH//xHwPR5t5pp53Gr/zKr/CZz3zmGF/dFMcaU8JyEqLVanHXXXexa9cubr31VlqtFps2beKP//iPedvb3jYw2p/i5YFt29x///0oisLll1/+srwPTafJA8sP8Pjq4+w9sjd+xzdRomyWh+5Yp9rt7pZvtZOdpLFxtDDaiJ/RMuiS3pc4Nu65e7G+ZyXyIKSjJLSehakkyqSUJOXWaruo0sRxHJT2ossyTRAESsUis6nZ9jVGOn9V1Gi6jYFY39nkbF8R5ihEJGQFCDGURLR73V6095r2i0aRsrlK3PZ5QS+yah09zpCN6HUI/LZEKmw/b5EVsxy7Gz+TKLE8hLx2d9o9h5pdo5QoxU5gJiU1aTVNQkngeG7fBK1DHD3Pp1QqUUwVJyquHCRmnfdOpWm3aLkmsiQji3J3WjEKxUSBcozMDtokw66TUpMkFAPTtamvm2pMIpWCCf0fyQIrzVUMte2zcR1qVp3ePxFJFFEkNfYeJzXtP3fkeWzHZqZUQlVUsnoOEZG1eoVqo9Zj2ve7ccmKoo407Y9DWk9Tj3kNlHY5ZBgI1M1m34bCJ97+C5w7e9bYx5+o6HS2HTlyhCuvvJJEYnSk9wvFI488wrXXXstHP/pRPvvZzx4XZMVxHBKJBDt37uwrqvzwhz9MpVLh1ltvPXYXN8VxgSlhOYnxgx/8gPn5ed74xjeSyWS47bbbkCSJG2+8kZtvvpk3vvGNG9qMO8VoNJtN9u7dSz6f56KLLjom5Wa2Z/PgyoMsLC7w4MqDA96U9d6WUUgqSWRRRpEU3HaJ4zAIgkBBL8SayJNqkpwWxSuPOlcHKTWFG7gjfTWd+OUwCAkIBvpqfD+g1WpRq0cyIkWW2Zo7BUu0kBWZ9T/bKTWNLuvYvo0h6RP5b6KyzrWhkb69HSQAFbsSO03KalkaTmOkKV4RVTJaGgWFslnGjdvRNnJUxqR8dbAptQk/8AlCn6pVG/n8kxdXHvWtyKJMRs1CGPLk80/h+h6lUhFdMRAEYn1TBaMQGy6RUlPk9Bw1qzZWKqVKGiHBULlRL0YtwHVFb/trfOpWHVVWY7tEJpnAyKKELCkDRESVVTJqhiAMqDQ7kcExXhlVx3adsZ+1kJCg6bHSKFMqlZCk/g2Vjmk/KadYaayyVlvDNC1s20IQhC550TQNVVbHelc6mITc9cvYBLJ6GlXSKCYK/NJbfm7sY09UhGHIE088waFDh7jyyitJJkeXpb5QPPHEE1xzzTV84AMf4Pd///ePm6LNQ4cOccopp/BP//RPvO51r+v++6c+9Sm+973v8S//8i/H8OqmOB4w3Wo/SfF//s//4aMf/Sif//zn+Q//4T8AUUnkPffcw86dO/nIRz6C53nccMMNzM3N8eY3v3laGvkSoRMhfcopp2xIJPWLhSZr7Ni8gx2bd+AFHo+UH2FhcYEHlh8gIScm8lqktTS2b/dFsHYWUL1m9k65YRxZgSji92DjYH/EcRDtwvfq2NNaGtuzcfxB2U8Hju9QsSsk5AQtt0UxUURA6JZLhmFAs9nA0HWy2RxJIcnBtYNYloUkiRhGItoxVqO45IZTp+HUmUnMUGv/rxt4VK1K37V1kNfzrJmVkf0jjm+z0lomrWVwPJucnkNAoGrXuqWYvUgpqdgELzdwsFyLWlAnEAIKiXzbNzRo2k+pyXY/yniyktWzLLeWu8RKEkUKeuHoedum/aJRnOhzM5Pq9614gcdKa5mVlTKiIHDe6eegSiogxErBNFmP9VZFx2k8X3seAF0dbdpPaYnYIsmEMvoYy7W6pGJTahYv8DEUndoI074qa1RjEs0A8on8UCLieA4rXvTvKT1JKPgUU3lqZmMk6UoqCUxn9AQmJMRtOKw11yjNzCCJg503YRhStarYioMdmsyWitHfmW2xUi1jmhZra2td076Jha7rIxfEGT09UdJaoy8hLuy+du/efvLGGD/55JMvCVl5+umnueGGG3jve997XJGVKaaYBNMJy0mGMAz53Oc+xx/8wR/wta99jWuuuWbocZ7n8Y//+I/s3LmTPXv20Gg0uP7665mbm+Ntb3vbhmplX8lYWlriwIEDnHfeecdthHQQBDxReYKFxQX2L+0fqffPalmabnPsrqkiKuSNPLIgs9RaetFt6EA3cSwIA/zAp+W1YnfBZUmOfAbrootFQcQQDJYXlwk1SKQSzCSPekfCMMSybEwrko4JwtGY1625U9rE6+hXpSKpkca+JxY6p+ep26MnER2k1BS27+D2EC9BEMlpWWRRoWbXsH0bXY78TXEFkqqkIg0xxQtEAQpRUEETP/CHdresh6EY+IE/khh2gxkknbrToOGOJw8FvcCq1V9c6fsBKysrSJJEsVhAEIS23G75aI+OYw4lJjkjT8UcTzB0WccP/aGfF0VU2hKjEBFpqDRu8DnjE7gyWpq63egS2Y5pXwhFana96x2ZxG+SUpM03VYssew9lyAIZPQMiqDQtFtdgpIx0gPdL70ICVktl1EFlUQuOZSsdBA7ZfI8avU6tVadZquJ53lomtZN7ustJ55kujJqEnVqbiuffucnxj72RMWTTz7Jc889x5VXXrkhgSwdPPvss1xzzTVce+21fPnLXz7uyMpUEjZFHKaE5STD//yf/5M//MM/5LbbbuPSSy+d6DG+7/PP//zP7Nq1i1tuuYXV1VWuueYa5ubmeOc737mhOzyvJDz77LM88cQTXHLJJSdMwkkYhjxbe7Ybl9zxaxT0AlU7vmRSkRQMOeo66aSECYLQjtLtXzxOag7P6lkszyKpJBEEIYpLHhL/qogKhjK8Z8V2bMorZdLpNOl0ms2pzfiB300c638NouNN00TzVCpOFcPQ0Q0DXdMGJmSiILEpGcmn1qy17vRhGKKCyzCGhAgUjAJqO3FsWNJWB5Igk1CMWGO/LMjk9TyCIGC65kjTviRKGIox0B2yHqrcJkmuSVpLY0h6FAaw7jqSShLHd/ree9/3WVlZQZYVCoXomqKY4wrr9YhJJUlCaReUWrWJ0r5gMqO9oSTwA5+UmoySwOz6UNP+JM8pCBERHfW6Cm1/TUJJsmZWYiVjOSPX9vG8+GPSWhpd0hBCcWRSV4espKQkckYdS1ZkUUISJewhr1EvNqVn8HyfMBQoV1dptBpYlhX5xxQFwzCYzc/Gps4JgoAu60OjqH/udR9k+2mT/b6dSOjUDmw0WTl8+DDvete7uPrqq/nqV7/aRxyPJ1x11VW85jWv4Utf+hIQbaadfvrp/PIv//LUdD/FlLCcbKjVajSbTbZseXExj0EQcO+997Jz505uueUWDh06xDvf+U7m5ua49tprp3HIE6CjPz548CDbtm0jl8sd60t60TjcOMwDSw+wb2kfz1WfG3usJmvIojzUiN/ZlVdEhapdjSRHE5CVnB55W3onNYIgkNNySKJEzanheM7YxDLTMlldXSWXzZFMJgfS0tJqup2SZfYtuKP29zK20y6qNE38oL/rRWxHBJuuiRu47XjjLIooU3caWD2LMk3WEQUxtgFeFmUSSrIb6ZtUUiTUBJZrRffX5ktiO0p5LWZhLhARgsi0H8GQE6TUZNcA3zkuZ+QGfD8D5xOiaVvFGpw49Jr2G04TXdZp9kxgPM9jZWUFTdPI5fIIQhQg4AX+WKIHUTKcIAh4vj8Ye92D2eQMSzGfLYFoGtEbdR2RiiyKqNKwG5iuRVJNYHkWfjDeZ/RCu2Ai034C0xksxSwmi5Rj/C2CIJBQE33SzGHoTGCORga7VM0aYRiRlXK5DEHI1s1bcWKml5Pco6EYWJ7VnQyJgkhWzyAJMpVGlWqjhmmaKIGMGVjtv6OorHK9UnbUJGpLZhP/8V2/elwYxTcSzzzzDM888wxXXHHFhv7OHjlyhGuvvZarrrqKP//zPz9uyQpEscYf/vCH+cpXvsJrXvMa/uiP/oi//du/5ZFHHoktVp7i5MeUsEwxEkEQsLCw0CUvTz/9NG9729uYm5vj+uuvJ5vNnnQ/Gj8ugiDgwQcfpFqtsn379pNqOrXSWunGJT9TfaZPrpJQE4RhGFvM10kNc3wHTdJoeoNxyR0U9EK8KV2Akl5CkRWqVnUg1avZalKpVCgUChi6ERvt3Ekck0WJI/VFQo4+dxSX7GKaJqZp4Xku+WQBWZeQVBlpiMQikjfpWL5FEAR9i/dhEAWRjJYdmbilyzopJY0XeMiizMqEhZTj7lmVVDJqFk1SOVw/TBDzkzBpPPZMskQYhvhBQNWuYjs2KysrGEai/d0R3W9KTQ2divVfo4YA2O3yUFmUyWm5qLvFrOK3Ce2o2OT1mITUZNQ0KS1D3aqPjZFOqykabvNFd8FEn7kUju9EMi6BoZOevnNNkMAlSRKyIA8EGCiSQkZNc/jwEWpWnfPPeBXlGA+Ppqh4/mDL/HqUUgVWGiPkbgJktQwpNc1qY43V2lqU3md1TPs6um6g6xqSKKHJ2ojpygfYftplY6/jRMOPfvQjnnrqKa644goymcyGnXd5eZnrrruOSy+9lP/9v//3CZEQ+sd//Mfd4sht27bxxS9+kauuuupYX9YUxwGmhGWKiRCGIQ8++GCXvDz88MO85S1vYX5+nuuvv55isfiKJy+u67KwsIDv+2zbtu2kDjGo2lX2L+1nYXGBI80jWJ4Vm+wkCiI5IzfQdZFSU9Fuc8+Eo2hEMb5xX096e2rRISqRDEbH8iwOrR6iXqtTLBbRNG3ihXYxUaRsltEkjbSajsIEhuzoa4JOtVGh1qrjOg6qqnV9L727mLKoYMg6AQGGnMDxnaGFiAICeaMwcXFlxa62fTRQtap44aBMblgh5ajzLbeWkUWZrJaNggrMysACdVIZ33pCEPg+rVWTTDqDmBC7E7NJ3pPO5GOUxCuaNOWixbkfScfGIatlqTnxZZO99xBFUyejUsMe036cFKyDjJaJJWVw1LQfhiGV1vApki5reIE31NDfi1GkJgxDVsorhGHIGVtOJ6EmIBTGmvZLqSIrQwonezF5wWUU55xUEySUJKZtUa6uYlrRRkAQBGzOzWILzoBp/2Scrjz77LM8+eST7Nixg2w2u2HnLZfLXH/99Zx77rl87WtfmyaCTnHCY0pYpnjB6JRZ7dq1i927d7OwsMCb3vQm5ubmuOmmm5idnT2pflAmgWVZ3H///ei6zmWXXXZcj903Gi23xYHlA+xb3Mcj5UeGLnokQSKjZ2LlRoZiUNSL1N16n1xn1LHAoAeFkFq1hm/5nLn1TJCiKcIk04gOWVm/6Oru6IchVbuKLuk4gYvT3vH3fR/TsjBNE8e2u1r9VCJFNpEbIChH09COJo6VjNJE1zisCybyC+XaKV5V3MCdnKCN6ILpEAFJkKjZNVJKKpKVxfxiFBNFyq2ji9uufyiTJp1KdxPkEkqCleZKd2oyChPdRwh5o8CatUZWy6BKGk27OTBxk0UFRVJiZXkZPUvdHk5qoujsLEEQIAnyBAWXAoaSiO0sWu+7kUSJjJZBEkSqZr37d1VI5GNTzVJakqYzaNrvkBVCKJaKzKZmuqb2Uab9tN4mZDHvey6RpdIa/zdbTOYpNwevXZM1Mloa1/NZq61h2w7VRhXP8/o2An7hTT/LtlMvGX8hJxCee+45nnjiiQ0nK5VKhRtuuIFTTjmFXbt2oarqhp17iimOFaaEZYofC2EY8vTTT3fJy7/927/x+te/nptuuom5uTm2bt160pOXRqPB3r17KZVKXHDBBcdd+srLCduzeaj8EAuLCxxYPoDt2ciSTFJJxhIQ6O+C0WSNjJqJIo7XyXySShI/9AfM6yEha2trOLZDqVRCUaLUsqbTJKNm8EKPilUZuhAtJdqEIeYbMa2lUUUVoUMO1qVp+UEQmYwtG8ERsAUb3TAwDANFUQa6XhRJZTYxg+lZkQRuzM75JJ0ngiCyJbkZL/CoOfWxBv+slqXu1GO7YDJaBpGooLDpNGiNMI1ntDRNt9n1fFi2RblcJpvNkkoeNRHnjFw3trqPYHj9RKJoFNpkajxGvS4ppT29c6JAgIJRjJ1gSaKMKqkTkZqW0ySjRdLYaqs2NBVvJjXDcmP8eyYJIpqijXxdO1OmhJJgrbUWm/Q2LNUsCAPKK+VIRlkskUvkqI5JPktraQxZR0BisTa+f2iSxC9BoO27Gf+6dkz7AgIr1VUarSamaZIRU/zc9p9hdnaWmZkZUqnUCf3b8vzzz/PYY4+xY8eODfU51mo15ubmyOfz7NmzB13XN+zcU0xxLDElLFNsGMIw5LnnnmP37t3s3r2bf/7nf+bKK6/kpptuYn5+ntNPP/2E/oEZhtXVVRYWFjj99NM5++yzT7r7+3HgBR6Plh/lkfIj3Hv43tjujNnE7MhiRkVSuoWQXuhh+daAzj8MQ8qrZXw/akxXJIWcnhsoGOzEJfdGEk9KVtYXV3bCBGRRpmE3uyZ7SZBIa2lWzTVsy6LV1uqLoohhGBi6gapFXS+9i22pR5JVtat93SydEIC4i8xqORpOvZvoltEy6JJOyzX7IohTSgrbtwfS29bDkA2CMOibhKSUFIZiYLs2tXbQga7ohGHYfW06YQf5XL6vpXtcbHJKbZ/XswiCEMu3YqOxc3puoLNnGDYnN+GHYVR2ao4+fpKJjtwmNb0TnIhU5FBEhbpdx3LtiaVgE3lSRAlFlLE8u0smWo65rqdkeBRwEEYx0oIgUCqWEEWRpJqMTYMrJgqUW8NN+937FiChJmMDACYpy5QkCVEQuxHQvab9uYuuY1Ypsry83A1umJmZYXZ2llwud0J99x48eJBHH32U7du3k8/nN+y8jUaDm2++GV3X+da3vjWtJ5jipMKUsEzxkiAMQw4fPswtt9zC7t27+f73v89ll13G/Pw8c3NznHPOOSfUD8wwHDlyhAcffJALLriAU0455VhfznGNIAx4cu1J9i3uG9r1Mqk3Iq2lcX2XhJLoizgOgiBKPAKKxSKyHC384yRooiCyNbUVy4+mG8PikjtIqSmcwBlriO6QA0EQWWwc6ftvYRhNHCzTxLQsBGBLdiuWaKJp+kBKUm/iGAismCsjCyl7Xx/LtUaSkKSaIiFHcb4tt4Xlj9+plwUFTVbHRisbskFaTSMgsNRYJiSk1WqxVlnrhh10zydK6BPEJsuiTFpNIYsyTuBSs2pDCYYu6wRh2JXmjUJGS9Nwmt1JkiKqZPUMQRBSsardqdZ6OdsoTEJqcnoOTdJp2A2aI4IlALJ6ZqIiybGmfTWF47mYjhmVQPbIMoMgIiuiKHa9hpMQJLE99VkfwdztRwoCKq0axWQh9lyTRiKPSiI7u3Qmv3r1L3X/v+/7rK6usrS0xPJy9L0xMzPDzMwMxWLxuJbkHjp0iEceeYRt27ZRKBQ27LytVov3vOc9ANx2220bGos8xRTHA6aEZYqXHGEYsrKy0iUv3/3ud7ngggu65OWCCy44ochLGIbdVJfLLruMUql0rC/phEKn62Xf4j4WFhcICSfyWgwrrhQEgbScZnlxGVuwSefSKJJCSk3F9nBA/3RDEARyemTe7pQ3djAJWQEQRZGMmqFiVbodIpZnUV+3yx6GkJbSPL/6HKZpEYb9ccm9fw95o0DVqpBS01GymtsY8GZA1MbuBX7s4l0RVVRZxQ880h3J3ZAJhSi078WujD2fgEBOz7NmrUZt9bZAeWUFPaejrNPOFxKFgdCFoedbF6/cWyJasaoEoT9xwlicb0UWZTJaFkWIkubiijpfDKlJKFGMseM51Kyj0dmRFEwfmZTXQU4fHiO9HrOpGYIgjMiEGZH55ZXldkFnEQEBTdbwAz92cjWbmmEpRsqmyRppNUUYMta0P5susVQf/zeuKWp0Xf6gJPKTV/8i55TOGvq4MAypVCosLy+ztLSEbdsUi0VmZ2cplUrHlX/j8OHDPPzww1x++eUUi8UNO69pmrzvfe+j1Wpx5513bmjS2BRTHC+YEpYpXlaEYeQxuPXWW9m9ezd///d/z9lnn83c3Bzz8/NcfPHFx7UHJAxDHn30URYXF9m+ffv0h2EDcLhxuEteDtYPDj0mr+epDWmRdz2XlZUVdE0nn89TMApokkbFqsQW0431gwiQUaPGdT/waXiNicjKqKlO12TvRyb7UnKG5bZxPgRcx8E0LUzLxPd8dF1DNww2ZzfT8poD951S021JlkXNqaHLBgLE3rMkSKS01ICfSJHUbuJYxYxkcoVEvN8D+l/Her1OvR4lsyX1JBk9ixgKVOwqOT3HygSlj3HTNkmMCkkNSWexudwnmxtA2CZJMT4YUZBIKgkaTiOaakkKNas+kHynyzp+6I9cmHeQNwqsjXhOTdJIa2n8IEBGZjmGrMf5WzpYb9oXEDDXWsiSgp7Ru6lio/pNemGoBo5nx/bP9E5qBCEqx5TXmfZ1RcP1vQkikYcnkV285QL+f6//yNjHdhCGIc1mszt5qdfr5HK57vSlV5r4cqMzkb/88ss3dJPLtm1+5md+hnK5zF133XVC935NMcU4TAnLFMcU1WqVb37zm+zevZu/+7u/Y+vWrdx0003cfPPNbNu27bgiL77vc+DAARqNBjt27Jjqg18CrLRWIvKytMCPqj8iDEOKRpE1a23AGO64DisrKyQTSTLZDKqo9jXdd70bXmvAPzPOL9OLtJbG9mw0WevGJQ9rlR9HVtZjU3ITfuC3pwWDPTOu62FaJpITpXPJqtz1vUjS4N9DWsuQlBOYnkV1zDQkKtyMJiHjIIkym5KbsD2bql0bSwg6ZCUMoV6v0Wg0hu5qzxgzeKHfTRwbRf5KiSIrE00vouOiqVgWWVSiqdg6gjFprPNwiZfQ7tHRaDktWk5roGxyGFRJA8KhHp1e5Iw8TbtJVk8TBgIVqzp0UT+Rv2UdqfEDn5XlFWRZplAotD+fGRJyklVzFcsdP4X7cZLIOuj4bCRB5nB1MeZcCZqOOXAuURT4zNt+jS2ZzWMfPwqWZXUnL2traySTya7vJZ1Ov2yT/cXFRQ4cOMBll13GzMzMhp3XcRz+3b/7dxw8eJBvf/vbGyoxm2KK4w1TwjLFcYNGo8Htt9/Orl27uP322ymVStx4443cfPPNvPrVrz6m5MVxHBYWFgjDkG3bth1XMoOTFRWrwoPLD3L/4v08vvp438Letm3K5aNRuZqkIUvyyOjYpJrEkA0c30GX9YFY4GHIaBlMzxzYTU8oCZJKMur8sGtdg/1EErR104O+3hOr0i1AzGgZTNfEdKOoZMs0cRwHRVUxdAPD0JFludvx0iFRqqSR0TL4oTfQHTNpzHFvbLIgiOS0HkLQIzcrGUVWzKgrp1qtYLZMSjOlgb6HvJanYld6JGcCGS2NJul9iWNZvZ1YFrOrn9Wz1IZFDgvtok5Ro+W2UGWVNbNCXEjBpK/L5tQW/MDH8mzqYzwneSMfS1xlUUEW5W5IA3QM5u0YaauO4zlk9exk6Xo9/hbf91lZWUZWFAr5QndRLosSiqRiumbUVyTrmLZJY93fzCRkBYYnka1HRk9Ts+vdcsxhpn0YnTL22jNfzQeu+KnYa5kErhtNYzumfUVRupOXfD7/kv2+LC0t8cADD2w4WXFdl5/7uZ/jscce4+67755Kk6c46TElLFMcl2i1Wvzd3/0du3bt4rbbbiOZTHbTxl73ute9rKZK0zTZu3cvqVSKSy655Lg2dJ6saDpNHlh+gIXFBfY+v5fl8jK5XI5kIiIigiAM9XWsx0xyhobdIKkmo7SoIQWOcJQwxCVoJZQEeS1P02vGJlXFRRJHC9YsqqhGRu11RnffD7AsE9M0sW0bTdEopAv4so88JC5ZFiPfR3RuITYOGaCUmGFl5HFHiQYhrJjlaEpUWcOybGZmSgNN2mk1jemZY/0SKSXVNo07rE7Q0zMqYawXCcVAlVQUScX2rG6S2Xqk1TQttzUguVuPvJ5nzarQIT9HJX4+VfMoGZs0PCJ+kiRQMPJookbVro2Vg/Umkfm+x/LKCqqqks/l+yYIo0z7STWBoSRwPJem3USRFKyY2ORSssBKjKwMjpZE9kKVVTJqpmvaz+gZKmZl4LGqrPCf3/lpcsbG9ZN0EARBn2k/CII+0/5GNcIvLy+zf/9+Lr30UmZnZzfknACe5/Gxj32MhYUF7r77bjZt2rRh555iiuMVU8IyxXEPy7L49re/ze7du7n11ltRFKU7eXnDG97wkjb41mo17r//fjZt2sT5559/QoUDnIx4/vnnefCRB5G2SjznPsczlWdoea1YozQMJwydxZMf+FTtaCIxzNw/DLIo95n7FUkho2YICdt9KkcnBZP0p0C0gLb8KOUrp0URuQ27ibmun0QIRURfZKm6hGVZSFIUl6wbBqqq9pGXmeQs5VaZnJ5FFCSq9mB3DHTM5IMFkuuRUTO0PBNVVGlWGtStBslcEknuJ/K6HBGbF5JEZshHE6/WTxZkUcJQjNhWeVmU0GWjTwYYEYxUu6gzIpayqKBKSizR1eQornlUmIEiRpHbiqhQbq7GktwXY9pPqZ0+GZN6T3ywKIgYik7TaXXJiqaq5PJ5hJ5PQVpL07Ab8dHPqVm8wI/+HqwaQTB4vCRJKOIkpCY+xlgWZYrJIp7nDZj2r73wHVx30TvHPn4jEIYhtVqtS15M06RQKHQJjKZpL+q8Kysr7N+/n4svvnhDCYXv+/zSL/0SP/zhD7nnnnvYunXrhp17iimOZ0wJyxQnFFzX5e6772bXrl3s2bMH3/e54YYbmJ+f581vfvOGSrU6Pzhnn302Z5xxxpSsHEN0Ckp/9KMfsW3btm53geu7PFJ+hIWlBR5YemDo4lNAoJgoxsp+FFFhJjGDG7ismqtjd90lUSKlDprXO5BFmYyeQQgFJEGayC8zLonsaJdKi5ZntpPIomlEGIZYlo1pRdIxQRC6RZWn5k8dmJhEccnRArvuNLA8k7yep2rXCGImDQklERV2uhbl1dVu501KS0WSn/bUShJkdFnr630ZBlEQyWiZoXI6VVLJqNn24rlCzsjHJoxBfBJZJ3FMFVWONBfH3rOAMJFvRRJlNEnD9iyyWpsYmjXcoP+9NJQEru/EkuGCMToowGhLEj3fQxEVlpsreL7HynLUTZLL5/rIiigIJJTEgPRrPTJamnoPqZFFmayehZDIX9NO75rEUyNLMqIgxgZV9JIaQYhea0VQEJH41Fs/gSa/OLLw46DZbHZ9L7VajUwm0y2rTCaTE52jXC6zsLDARRddxObNL85/MwxBEPCJT3yCe+65h7vvvpvTTz99w849xRTHO6aEZYoTFp7n8Y//+I98/etfZ8+ePbRaLa6//npuuukm3v72t/9YDb+HDh3i4Ycf5qKLLmLLli0beNVTvFCEYchjjz3GkSNH2LFjB+l0euhxQRjw+OrjLCwtsH9pP1WriiAI5Cdc6OaNPDUrSiKThCiJqrfrpQNZkknKyZFysl7MJGcot8pk9exRw/mIwsSJYpMFkZJRIgQsz6S+TuoUhmA7NqZponkaFWctIi+6ga5rQ0n35uQWQgIazqAMrReqrCEJEk2nSblcJgxDSsXigPZflw3yeh7bt4eGChy9WI4WdsZgU3JTtMgPhajsc0Ti1GxyhqUJJFkd6VYncUxAoGoNBgxMOhkrGsV2qedRdNrpFUGhbjewfZu0mqEW87mJTPvExlNn9RyWa2KIBgcPHcSTAzLZTB9ZgdHdJv3XCiktPfB56qAjVzRkndXmGpY3/tomJTUCwtDEtQ/u+GmuOv3VYx//csC2bZaXl1leXqZcLpNIJLqm/UwmM/TvaXV1lX379nHhhRdu6G9HEAT8xm/8BnfccQd33303Z501POZ5iilOVkwJyxQnBXzf55//+Z/ZuXMnt9xyC5VKhXe9613Mz8/zzne+c+I4y96d/Msvv3yaunKMEQQBDz74INVqlSuuuGLiZLYwDHmm+gwPrTzEvx3+t1gJzqgkMuika+WQRAnLjdrqJ2ovH7LYFYQoeUoVVepuHcu1XhBZyem5vp13XdZJqSk83+vz0JTaz+04TlRUaZr4QYCu6RiGjq7riKI4UDSZVCLpkeX3d8d0zP1Vq8pKOUrnKhaLiEMWbAXjaBxyr4+mYlXxw6PEb1IysN5XIwoiWS2HJIjU7Hr3dZs0YayYKFA2VweUb53EMUmQqTt10kqKlQlincf7fo5ia2oLXuDTtFtjieG46UoHkiijSip1s8byygqGrlPMF8nqUeN7tVXDCzwyWoq63YyVgo3yt/RCANJtT0pWz6BKGi27NVCKmdZSNJzmyPSwDkZJxk7Pn8av/8QnjruJtud5lMtllpaWukWcnclLJ4ltbW2N+++/nwsuuGBDpVpBEPCbv/mb7N69m3vuuYdzzz13w849xRQnCqaEZYqTDkEQ8G//9m9d8nLkyBHe8Y53MD8/zzXXXDNyh95xHO655x50XWf79u0jj5vi5YHv+ywsLOA4Dtu3b3/RWnKA52vPs7C0wMLiAocbh/v+W8koUbbKsQssVVLRZK1bvtewGyN7TyY1X88mZhFFkbpdH7uIFQSBvJ4fu5BVJTXyUggKi82lPqlTCHiui2mamKaF57lkEzlUXUXSJKQhCUm6bHR9H4QhZXOVleUVJFmiWCgMXVCOIyFie2olIiILMout8VG3AHm9QMVaG7PgFshp2cjbYjUG4qvXI62lMF2z20ky+rg0kiChiDIt1xz53qTVDE23MXqK1HMfa9YaHZaUUJIk5ASO71DrSRwrJUsTddWUEiUO146wsrxCImGQyWb75ioC0WRRk3TWzLWxMcZJNYHpWrH3MOrakmpUimm5NnWrPtRovx5pLUXdaQwljb/6pl/mrMKZYx9/rBEEAWtra13pmOd5ZLNZ1tbWOO+88zjjjDM27LnCMOS3f/u3+d//+39zzz33cP7552/YuaeY4kTClLBMcVIjCAL27dvXJS/PPPMMb3/725mbm+O6664jm41kP7Vajfe85z2Ypsm3v/3tH0tONsWPD8dx2LdvH6Iocvnll29osMJic5F9i/vYv7SfltuKJEkx34KqrKKIykBsclpLY0hGX9fLpB0v6ycrnehl27P7ul4mISsdFBORNEkWorhkQiJJ2zrPhIJKs9Wg0qziOg6qqnZN+3JPCl5nmlG1qjTLTVRVQU7LQwlEbxzyOBSMIhWrQkZLo4gqDWc48Uur6YhchOP9HnrbFB9Jrtrvh9sa8GyosookSJju+AJGRYoih3uP6yzKexPHFElFEsTYwAdd1vGDYMDP0oHWjqIWkSi3yrH+lmKiyJHqIisryyTaHUTDZhFHJz9H+2RM16Rh978uWT1DdUxMM4Ch6Li+G0v0NqeijiE38NrxxcP/sEY951Wnv5oP7vjpsc9xvCEMw66EWFVVHMfpM+3/OL8lYRjy3//7f+erX/0qd999NxdffPEGXvkUU5xYmBKWKV4xCMOQBx98kJ07d7J7924effRR3vKWt3D11Vfz53/+5ySTSfbs2bOhWflTvHBYlsXevXtJJpMveYz0qrnanbw8VXlq6AJLl3VEQYxNk0oqSXJ6jrpTj5WMpdU0dmCPlIEZitGN+pVEaTKyYhRZtVYHy/faUjIBkZpVQxIlBEHAbN+P7/uYVtT34tg2sqKQaPteZjObWKovsryygq7p5PJRcllX5mVH3TGTyruyeo6GXR8INEiraQzZoOlGcqleEjIOkiBjKPrQyUpCSZJUEtieQ8Ouk9bizfMCAjkj2+5vGQ5D0UmpaWRB4khjcazcSmiThTi/kyzIaLKG4ztktWzUbWPVBsiLLutYjs3hxUMkksnIRzHkfFF/S41hTDypJEmoSWzXRpO0WCkYQN7IjX1NADRZww/87jUrkty+F6ia1S7ZGSUF0xWd//L2/0haS8Vez/GEarXK3r17OffccznttNNotVrdyUu1WiWdTveZ9ieVuoVhyB/+4R/yxS9+ke985ztcfvnlL/GdTDHF8Y0pYTlJcNttt/E7v/M77N+/H13Xufrqq9mzZ8+xvqzjFh0j91e+8hW+/OUv47ouV199NTfffDM33ngjs7Ozx52G+pWAZrPJ3r17KRaLXHjhhS/re1B36uxf2s/C4gKPrT6GH/gYSuSZiduVh34ZmCEbpLSIcKxfrKa1NJZnDTUb96Ij62m4jYHo5fUYRVbWo+N5EUKhmxDWCz8IsCwLs2Wi+RrNsIHvB+iG3i4h7D+fKEhsSW3GaaeDjTOKp5QUduAMjVTuRUbLklQSNNwmdavO0BU5bXKh59pSq/HYlNzUXkxHiWOjXqZJpXyd4xRJIatno04RqzqQODa5T2ewvFLqSugkqlYN13dIiAmeeP5JUqmIrAxDx99ixhDslJLCJyClJPF8n8qI12WSeGIYn84miZFpX0Km5Qz6XgB+8rKbufrsN8Y+z/GEWq3Gfffd102SXA/HcVhZWWFpaYlyuYymaczOzjI7O9ud7g9DGIZ88Ytf5POf/zx33XUXV1555Ut9K1NMcdxjSlhOAuzatYuPfvSjfO5zn+Otb30rnudx4MABfuqnNqYh+GTFv/zLv3DDDTfwsz/7s/zCL/wCt9xyC7t37+a+++7jda97HXNzc9x0001s3bp1Sl5eBlSrVe6//35OPfVUzjnnnGP6mrfcFg8uP8hDKw+xsLQQSy7GLXR7u1780Mf0zHiyMkIG1un8AKK0rNCfmKxERYo9sjYh6lTRJC1aRPb4NGYSMzy/dpCV8gqyJOH5PqIYdb0Yuo6qaQhEBvE1q0IYBv1xyW4Dq4fkGXKCkCBWPiWKEmk1TbUdcxz5aNLduOTeaUbJmCxhbD1p6EyIwjCkYlbw2wRw0oX5qB4VWZTIaO1kOatGTstMZNovJkqUYyK3BQSKSoFnDz2PbMioidHx7cPIz8D5BIG0muor1Dz62RK6ExFdiaYmrh8nUyu0O3zGo/Ma5/QsiqTQsFuYjsnpuVP59as/eUJ9z9brde677z7OPPNMzjzzzNjjfd+nXC53U8cAZmZmqNVqXHrppaRS0WQpDEP+5E/+hM9+9rPceeedvPa1r30pb2OKKU4YTAnLCQ7P8zjzzDP5b//tv/GRj3zkWF/OCYNvfOMbfOADH+Bzn/scv/Irv9L99zAMee6559i1axe7d+/mn//5n3n1q1/N3Nwcc3NznH766SfUj+qJgk5vwTnnnLOhhtWNgOM7PLjyIPsX9/PA8gPY6yJdJ1kgQjRZ8XyPpJqMFsttwrEek3pWJEFiU2oTju9QsSt90cvroUgKmqSNNaUnlSRJJYkkyjyz8gzl8grpTIZ0KhXFJdsWpmlhWhER2ZSexVcCFFUZmLwAXd+E3e4daY0JFYDORKnQTRgbvAeVrJYhCMMoWGAC034UNzy6DFMSJLJaFk3SKLdWh0ZO9yKtpmh55shY5aPHpVEkGVGUqVnVkedNq2labmts5w+AjsFTh54inU6RTqfbXh2dlmv1vaeTJqXFxT9HMsI8hmyw3FwZm2AnizKSKGLHpNzl9NzQvp2MluZjr/l5Ts+fFnvdxws6ZOWMM854UfHCQRBQqVRYXl7m3//7f8+jjz7Ka1/7Wq677jocx+H3f//3uf3223njG0+sidMUU7yUmBKWExz/+q//ylVXXcWf/dmf8cUvfpEjR46wbds2Pv/5z3PJJZcc68s7LvEnf/In/Pqv/zp/+Zd/yXve856Rx3XMlJ3Jyz/8wz9w+eWXMz8/z9zcHGefffaUvGwAjhw5woMPPnhCdN54gcej5UfZt7iPA8sH0GV9IrKS1bI03WafJ0ESo8Vyb9fLsOjiUYimG2uEYdgXvVxzan0LTEVU0BV9ZMdGL2aSMzy3+hyNtSanlk5BTWrU1vk+QkALNcr1Mo1WgyAIMHQdwzDQdL0v6lgWFQzFIAiCyLTuWyP9PZPGA5cSM1SsNTJaFhGBij3YnwIRYWo6zVgykFASuL6HF7hktRyKKFOz6wPENDLti5gxDe+yKKPKKq2O7EmArBbFADftJi2v1T5OQZWUWG9U6EUltnpSJ50e9HcklARJJUXg+9TsejeiehSyWpaaM9oQ38FRIh7FPSuiGiXjrbv/YrJIOWYyJQoiuqIffU16cPXZb+InL7l57OOPJzQaDe69915OP/10zj777B/7fEEQcO+997Jz50527tzJ4uIi27dv52d/9meZm5s77jZwppjiWGFKWE5w/M3f/A3vf//7Of300/kf/+N/cOaZZ/KHf/iH3HXXXTz22GPTHpF1qFQqvP71r+dP//RPecMb3jDx48IwZHl5uUte7r77bi688MIueTn//POn5OVF4LnnnuPxxx/nsssuo1QqHevLeUEIw5An1p5g3+I+FpYWRhq6c3qOhtMYm/7UISqGbET9KTE7/WNlYEK0KFUlFdMxEURhIrIym5jlR6s/YnV1lXwu3+0u0mSNjJrBDVyqVpWUmsLybFzfIQTcdlyyZZp4no+ua+iGQdJIkjWyXXlXB7pskNZSuL4X+UkImUnOsjxBwljeKLS9Fkd9PIIgHiVr7WLOhJzAC73Y11EWFDRZo+munzwJZLQ0mqjTcpqYnklaS8emaUXXmGfNHO2rSakpDNlAEiSONI+MPZdtO9gVCzEpdiVDwyAgkNbS2F5UTukHPlVr0O80qb/FUBK47cnYenQCElqOhSoprI651w5GSSZzRpbfevOn0ZUTI5Wx2Wxy7733dmWrG4UwDPna177Gxz/+cf7kT/6ESqXCnj17+N73vscll1zC/Pw88/PzXHbZZdPfmSlesZgSluMUn/nMZ/j93//9scc8/PDD7N27lw984AN85Stf4Rd+4ReAqJ331FNP5Xd/93f52Mc+9nJc7gkF3/d/rOSpMAxZW1vj1ltvZdeuXXz729/mnHPO4aabbuLmm2/moosuGmj/nqIfYRjy1FNP8dxzz7Ft2zZyudyxvqQfC2EY8qPqj1hYWmDf4r7u1CVv5KlZtdhdflEUyWrZaKErQE7Ltb0gUblkLyb1rMiSTEJOEBIORC+vx0xihmdWnqFSqVAoFDD04QWdWT2LKqptk/mgpM11PSwr6nrRAg1Hdrq+l2F/c6qkMpOYxfRaVKzK2C6QtJbBdFsxsb8CJaOIIqlUrMrInpzoyKiJfphMaT02Jzfjhz62a/f5PtZjYtN+osRya+VoGpzvUDWrfQEDtm3jVT1IQjKZHH++Ic8rizI5LUcIVMwqfuBN5m9BIKPHJ6rJokJSSaJISkQ+zeHHZ7Q0dbsxNE3tF17zES7dfGJE9XbIyimnnLLhHrtdu3bxH/7Df+Bv//Zvue6667r/vrq6yu23386ePXu48847KZVK/PVf/zWvf/3rN+y5p5jiRMGUsBynWF5eplweP2Y/++yz+cEPfsBb3/pW/uEf/qFP73rVVVfx9re/nd/7vd97qS/1FY9qtco3v/lNdu3axd/93d9x6qmnMjc3x/z8PJdffvmUvKxDGIY88sgjLC8vs2PHjrE7xycqDtYP8sDSA+xb2sfB2sGxx0qCRFpLj1w4p7U0uqTTclvosv6CyMp6+VVSjQoLoyb7aOE9k5zh6aWnqVarFItFdG34bndCTeAHflcq1UmxEhCo2jW8dpBAx4uy1FjCMs0oLtlxUFQVQzcwDB1ZlgEoGiXKZhkIkXvikqt2pY+YJJUkbuDGT0xEmYSSpNZOZktrmbbXw6SxboryYk37hhyRjM4ivbMQH2XGX4+CkWfVWhuw1XSKP/3AZ7G6iFmxkFMyyWQi5nyF9pRj9GdCFEQ2p7bgeA41qz42zW3SPp315Edt98kEgU/FqhEEAaIgkFASA504ADu2buPfX/mh2Oc5HtBqtbj33nvZvHkz55133oaSlW984xt85CMf4a//+q+Zm5sbeZxlWXznO9/hNa95zTR6f4pXJKaE5QRHrVZjdnaWL3/5y13Tveu6nHrqqXz2s5/tTl2meHlQr9e5/fbb2bVrF3fccQelUqk7ebnyyitf8eQlCAIOHDhAvV5nx44dGMbwnfyTCUvNpe7k5bnac31kQxZlUmpqol3+olHE9m0M2egjHOsxiqyshyEbFBIFDi0f4vny85RKJTRVG36sYhCG4ciUr66HRpCREAcM8X4QdMmLbdvIssLm7GZcyUFS5IHkYrFthhcFEce38QJv7LQEOh0qedZG+H8SSpKkmsT2bDRRY9mMn4TEmfZVSSWjZpEEkVVzLTb9LakkcAJnbOqWZVu01lpsnd1CKplizY6mI8Ogy0a7qHE8kUsqSez26wgCOS2LInU8KUdf17SWoeHUYwlxHDmTRZmMliUhGxxpLA0EQiTVJL/1lk+R1tJjn+d4gGma3HvvvczOzvKqV71qQ8nKHXfcwYc+9CH+8i//kp/8yZ/csPNOMcXJiClhOQnwyU9+kp07d/Jnf/ZnnHHGGXz+85/nm9/8Jo888gj5fP5YX94rFq1WizvvvJPdu3fzrW99i3Q6zU033cT8/Dyvfe1rX9JCxOMRnuexsLCA53ls374dVR0dzXqyYs1aY2FxgYWlBZ6tPoshG7GlghAtEFfN/smKoRjR5KEd+QuTkxWIdsifPPIkzWaTU2ZPoZgu4oeD3gdd0REQJuuiScywbC6TVSMPTcNpDDwuCAK0QGOxtoRpmUjtuGTdMFBVtY+8KKKKJmtIgoQqKUO7Y47ez+Sm/YbTIK2mokZ2qzpUrpTWMrQmMO13Si79wCerZxAQWTMrA0lisiSjSdrRWOkhsCyLtdU1Tpk9hUCO3oOOXFASjnp0IJqapNRU7HstCiJJNTmS4KbVaILneC5u4MaGAGiyThAGsX06HfIDQjfuumY1sD2bf3/Fv2PHKdvHPv54QIeszMzMbLhP8Tvf+Q7vf//7+dM//VPe//73b9h5p5jiZMWUsJwEcF2X//gf/yN/9Vd/hWmaXHXVVfzRH/0RF198YmiDXwmwLIu///u/Z/fu3dx6661omsaNN97I/Pw8b3jDG1AU5Vhf4ksKx3G4//77kWWZyy+/vCsJeiWj4TTYv7SffYv7eHz18ZHejFKiLV0a802tyRo5LYcoiBxpHBnbvt455xOHnsC0TEqlEop89PPX2/VieiYh4QsuzuxFWktHHho38tBk9RzNdghBGIZYlo1pRaZ9QRDQDQPDMEjqCZJqqivvihA1x2uyRstpdrtjJiUreT1Pxa72mfY7cclhSNTLgo8hG/ihP4FpX8ZQDOpOPxkQBZGslkMSRGp2HcdzYs34pmWyurrKOVvOwRJGJJH1JI5JxJv24YWVVzbdFimlXXg6wsOS1/OxZZ2iIGEo+hByJnDVKVfywe0fiL2eYw3Lsrj33nspFotccMEFG0pWvv/97/Pe976XP/7jP+ZDH/rQ1Eg/xRQTYEpYppjiZYbjONx9993s2rWLPXv2EIYh119/PTfffDNXX331STd5ME2TvXv3kk6nueSSS17xsrhhMF2TA8sHWFha4OGVh7sL5UnICvRHFytS5AXxA5+qUyUI+o3spUSJxw8+jm3blGZKyNJw8qjJGqqkIgsyoih2o5eHYXKz+QyCIGC6FvV1k4EwBNuxI8+LaWOIBp7qY+gGuq4NXdQl1RQFPU/VqlJzxk8aMlqGVoxpXxJlCnoBSZBYMctD45KPXnDbP2LFRVALbE1twfVdGk5zKPnrkJXztp5Li3hy2CmbTGtR4pjpWgOkCaBkFCcqrxxmxlcljYyabgcsRFO3UnKGlQne51EEMqWm+c2rj38pWIesFAoFLrzwwg0lFD/4wQ94z3vewx/+4R/y8z//81OyMsUUE2JKWKaY4hjC8zz+4R/+ga9//evs2bMH0zS5/vrrmZ+f561vfSu6fmLEfY5Co9Fg7969zMzMbPgu5ckKx3d4aOUhHi0/yn1H7oudbqhSJJsaJvmRRZmsnoUQKnaFvJbn0YOP4rkepVJppCxRlVUUUenbIRcEgayWRRblvq6XSU3aKTWF7dtdn4cu66TVNI7vUuuRZUWm/TyHq0e6vhffD9B1HcPQ0XW9S3p7TfuGkiClJHF8l6pd6XvuhJLAC/yxZnOIJiMZLUPFqrTjkrNIokzdrmOve+zEk4t15v6jscCtiMCYLVbX1jhr85m4khfrH4nKK1v464hoJ3HM9hxqVpWUlsLyrJhUteh9MV1zrPRNFmVKxgxe4LXlbqPPmdPzbU/W4H185IqfY9uWy8Zez7GGbdvce++95HI5Lrroog39zvqXf/kX5ufn+dznPscv/uIvTr8PGZ7a2emWmmKKXkwJyxRTHCfwfZ9/+qd/YufOnezZs4dKpcI111zD/Pw873jHO7q9GCcKKpUK999/f7dgbfoD9MLRKapcWFrggaUHBmKJVVlFFdWxDfYdlIwShxYPEfgByXwSn+EL1GFkZQACZNQMGS1DuVWONcSvTxhbD0VSyKrRVEgW5T4iEAJeu+vFNC08z0XTNDbntuCIDqI4+LmKEqvS+GEQxUILxHaPwNHJxbAbzuoZVFGj6TZJKsmJyEpOy1FzaiPjmkMHWmtNSqUSnuTHlj4qkoIsyrEkNqEYpLVMRN7GxEVLgoShGLGfH1mQ2301zR65W9tT01dSqiKJ4tBwhtec+hr+3bafGfs8xxq2bXPfffeRyWS4+OKLN/Q7a+/evdx444381//6X/nEJz4x/T4k2rDryIP/4A/+oPub9xM/8RNT0jLFAKaEZYopjkMEQcC//uu/dsnLkSNHeOc738n8/Dzvete7SKePb0nFysoK+/fv57zzzuO000471pdzUiAIA55ce5J9i/vYv7Qf0zORRXk8sWijqBd55PlHIIRisYgkRSlciqhQs2vd6cFEZKWNXhlYx6fS9JoDj41LGOtFKVGiYlWieOOQSIa2bjff8zwUX2W5toTt2Kiq2vW9yOt2amVRIaWmkEWJIAypDTnfsPsZh4JRwPXdSIrlDZdiASTkBG7gjUzwarVarK1VmC3NkEvl8QKXjJrBC7x2OWb/8S+kN6aQKLDaiqRqsiR346IrVn/i2CS9LOOPiwz1qqjSdFroisHqkPSwglHgP179KXT5+J0YO47DfffdRyqV4pJLLtnQxfLCwgLXX389n/70p/nUpz41XYgD5XKZYrEIwM/+7M9imiZvfOMb+V//63/xpS99ibe97W3H+AqnON4wJSxTTHGcIwgC7r//fnbt2sXu3bv50Y9+xNvf/nbm5+e57rrryGQyx9UP4OHDh3nooYe4+OKL2bx587G+nJMSYRjybO1Z9i3uY2FpYexCu6gXefjZhxFEgVKxNPhZESCrZtElHTd0WR0RC9yLcXKopJrEkI2eGF1etGm/0/UiIlG1qriB01cg6fs+pmVFvhfbRlaUdlGlgaZGU5beBb4kSGT0KHGrc764++lFRsvSdBp98qlIitYuf7Si8kdFVFAklZY7nPg1m00qlSqlYpHNuS2srfPBKO1OmjAMoyCAMOiWTb6Y17GD3sQxURBfVN/K6ONmsDwzit127a5EURREPvG6X+Hswlmx5zhW6JCVZDK54T67Bx98kGuvvZZPfOIT/Kf/9J+Oq+/qY4WvfvWr3QTNr3/96/zZn/0Zd9xxBwB//dd/zV/+5V9y2223IUnS9PWaoospYZliihMIYRhy4MABdu7cye7du3nsscd461vfytzcHNdffz2FQuGYfsE/++yzPPHEE1x++eXd3bMpXnocrB/sxiUfqh/q/ntBK/Dwcw8jSzKFYgFhoPEkgiZpyFI0remmenmtoVKhSScRmqxhyAayKHenBqMwCWEQBIHZxGzbj1PFXjexCYIA07KwTBPbcsjpWVzZwzB0lHVxydH5osV7UklQNldHxiV3EPlgvLHJYZqsRXIpRI40F4emtTUbTSrViKycWjg19r4lQWJzchO270Yka0zXS87IRTHNMT/rGS1N022RVtMokhL1sQy5/5SSwvTG+1tGHWfICVJqilef8mquPe+dYx9/LOG6Lvfddx+GYXDppZduKFl55JFHuPbaa/noRz/KZz/72eniu41f+7Vf4/Dhw/yf//N/WF1dZXFxkQsvvBDHcXjuuef4+Z//eW6//fZXRE/XFJNjSlimmOIERRiGPProo+zatYtdu3Zx4MAB3vSmNzE/P8+NN97IzMzMy/YDGYYhTz75JM8//zzbt28nm82+LM87xSA6RZWPLj3K9x/9PoqikC/kR5MVWRspLUuqSRJKAsuLiionnUT0EqAOVFklo0ZN7lX7aNfLbGKWpVb8Tn9SSeKFXuSDaXtoOr0m67tDCnqBg2sHMU0Ty7IQRBFD1zEMA1XV6PxZFIwCa1aFMAyjuGRJo+k2Bs6ntrtgXogPphOXHIQhVbOKj0+j0aBarVEqFTk1H09WALJalppdJySIZGFaDkWUqdn1Pk+QoRh4gRdbXjnKBxMRVZ2WZ9JwGn2+lXEY54M5K38Wn3ztxxGF4zMZ0HVd9u7di6ZpXHbZZRtKVh5//HGuvfZaPvjBD/J//9//9zQdsQdf/OIX+d73vseuXbuiDiPf74u6v+6667j99tvxfZ9vfetbXHfddSd99P8U8ZgSlimmOAnQIQwd2djevXt53etex/z8PDfddBNbtmx5ychLGIY8/PDDlMtlduzYQTKZfEmeZ4rJ0Ww22bt3L2pGpZVrsX9pP0+uPTmw894pZYwrCwTYnNqMH0TdJOPKLlVZRRGUsQvdTteLJmssNhZjd/AN2SBktA8mpUbxvrZno0lav2k/BNu2ME0LyzIJAUPX2ZTdhCd6BAwa0lNqGkPWsXyLlmuSUBIDMczDMJOYZXkI+ZIECcERqKxVSeQTlNIl1qy12L6c8VMdgYyaRpN1LNskFIg1zwsI5Iwsa2Zl7HFJNUlOz9FwGlTNSOY2CqMkY4aS4DNv/A0KRmHscx0reJ7H3r17URSFyy+/fEMJxdNPP80111zDu9/9bv6f/+f/mZIVYNeuXZx55pmcddZZ3HXXXXzhC1/ghz/8YZ/sy/MimefNN9/MF77wBT796U9z/vnn84UvfOEYX/0UxwOmhGWKKU4yhGHIs88+y65du7jlllv44Q9/yKtf/Wrm5uaYm5vjtNNO2zDy4vs+Bw4coNlssmPHjhM+hvlkQL1eZ+/evWzZsoXzzjuv+17XnTr7l/azsLjAY6uPoYgKoiBORFbWT1ZGTUtUSUWRJjTtt88pCRIZLTOy6+WFkKqZZNRin1RSuP5g+WEIOLaD6IlUGms4vtuOSzaiuOR1fxeiIFI0iiAI2J69rsRy+P0MQ73eoF6vUSqVKKVnkEW5m7K1Pi65A1lQ0GQ1dsLR6YOxfYeEYmC7NrURrfYT9+X0HKfJKhktgxf4VMxKH8kanaoGP7/jI1y++fiMMO6QlU6R7ah47xeDZ599lmuuuYZrr72WL3/5y1OyAhw8eJC5uTmefvpp0uk0p5xyCq7rctttt5FMJgcSMG+++WYee+wx5ubm+NznPneMrnqK4w1TwjLFFCcxwjDk0KFD7N69m927d/OP//iPbNu2jfn5eebm5jjrrLNeNHnxPI99+/YRBAHbtm076QovT0RUq9VulPS499Z0TR5aeYj7F+/vK6ochrhFbmdaIiDgBA61iSYRwxf3giCQ03JIotQtgpw0tWyYtEyTNTJqBtf3qFrRYjupJHEDL+qEacclW6aJ5/louhYVVRo6kihSMIqs9hQvarJGWk3jBz4Vu9KdWPX2waxHvV6n3mhQKpXIJDKEYdjjvxF6pGhHpW0vJBFs2GtpyFEni+t7VM2o46aUKLIyJMFrPbJ6lppdG+qDUdqJY2EY4gQeLac5dDp29Zk/wU9e9J7Y5zoW8H2fvXv3Iooi27Zt21CycujQIa655hre/OY389WvfnVKVtroRBTv3buXp59+mv/3//1/ufPOO7nyyivJZrPMz89z6qmnMjc3B8BHPvIRTNPkr//6r4HhXS1TvPIwJSxTTPEKQRiGLC0tsWfPHnbt2sU999zDRRddxNzcHPPz87zqVa+amLzYts3999+PqqobvkM5xYvD6uoqCwsLnH322ZxxxhkTP65TVLmwuMCBlQNRb0kbk3pWVElFlVRaboucnkMQhKHTEmhLiMyVYWv7gXNmtCgBb5Qp/IVcpyIpFPQCYRiyYq4QrCtedD2vW1Tpui6bUpuwJAvDMIZ+vjseFVmQKZvloR0qtXqdRqPBTKmEoSUiT8gY2VZKTZOQDSRB5nDz8Nj7gQ5RGp/gpUoqJaOI40UJcMGYn3xN1oAQ2xtNYAEkUSKhGCiiiiiIVK1aN3Ht9Ozp/OrrPoEsymPPcSzg+z73338/ANu3b9/Q760jR45w7bXXctVVV/Hnf/7n0+/EMbj33nv55Cc/yfve9z6ee+45/uIv/oLXvva1fP3rX0fTNJaXl5mZmQGmZGWKo5gSlimmeAUiDENWV1e59dZb2bVrF9/5znc499xzuemmm7j55pu58MILR+4OPvHEEzz33HOUSiUuvvji6S7icYBO783555/PKaec8qLP0ymq3Le4j0ONQzxbfTb2MR2yst4/IQgCOb2nYNB3JiYrsiRjyEY3Ghcgo2XQJX0gvWzS2F1VVpEFmZbbQhZlMloWIYSqXcNbRzbyap7nVp/DNC0cx0ZRVQxdRzcMlB5zcFpLY7oWQRhERI2IqLmBS71Wo9FsMlMqtSOWMxNOTCIfjKEk2s31NjWrNuAjyWpZ6k59ZClkB5qkISBg+RayIJPVswgI7cb6o9MRURBIa2mqVvyErLfnBaL3OqtlSalJfn7Hz1NMHH++Fd/3uxPhHTt2bOgieHl5meuuu47LLruMv/qrv+ozkE8xiH/6p3/i3e9+NwcOHKBUKrG0tEQulxuY0k/LI6foxZSwTDHFKxxhGFKtVvnmN7/Jrl27uOuuu7rj+ZtvvrkvPedf/uVfeM973sOv/uqv8mu/9mvTH5PjAIuLixw4cGDDe2/WF1UOW2yPIisDEGBraiuu71J3631TnPWQJZmEnBgrLUsqUXqZLMgcbh2OJUCKqKAreh8B6kAURLJ6FkmQqVk1snqW5Z5+Ej8IsEwL0zKxLQtZVtANnVK6iCCLOOs8KAIigRlgNlskC0lCMRyQlo1CySixMkRaFknRjnqGdEkfW0p59N4kUmpy6Gt5tLFepGbXyaiZiYjfTLLEcnPwOEEQ+NgVv8DFsxfFnuPlhu/7LCws4Ps+27dv31BCUS6Xuf766znvvPP4m7/5m2ma1QRYXl7m9a9/Pd/97nf7ioWDIJhugE0xElPCMsUUU/ShXq9z2223sWvXLu68805KpRJzc3Ns2bKFz372s3zkIx/h937v96Y/LMcBDh06xCOPPMKll17alVC8FAjDkB9Vf8TC0gL7Fvex0lqJ0sAm9Jesn6x0fBstt9VnKpdEiZSSGptC1kHRKLJqraJLOiktheMNTy+TRImkMnzRvh4ziRncwEURFepOA2td9G8QhliWhW/72JaNh4tuGO245Gh3uFat0mqZlGZKKLLC1vQW3MCj6QzGJfcip+ep2TWCmMS0hJIkraVxfZeaVcMLB2V3HZSMYpsAjcdsYhbbt1FFlYbTHFn0mTOyVK3h/pZrz7uG6867Nva5Xm4EQcDCwgKu67Jjx44NJSuVSoUbbriBU089lZ07dx53Pr5nnnmGz372s3z3u9/lyJEjbN26lQ9+8IP81m/91jG9Vs/zOPPMM9m5cyevfe1rj9l1THFiYTq3nOIVBdu2ueqqq1hYWOD+++9n27Ztx/qSjjuk02l++qd/mp/+6Z+m2Wxy55138sUvfpH/+T//J9lsFt/3+eEPf8hVV1011RYfQzz33HM8/vjjbNu2jULhpZXgCILAmbkzOTN3JnOvmuNg/SAHlg9w3+H7YgnLMBlYL3noRBI7ngMCL4ishGGI6Zldf8v69DIBgbSankiKVTSKLJvLfdeZ0dvEyomIlSgIZJIZ9KxO3a5h2TaWaVIulxEAUZTwA5+Z0gyKLDObnOkr8kyraXRZx2x3nfS+Bk2nEUtWREFElRQWG0eAKC45r+eRRCkqleyRts0mZliawH+U0/Mst5b70r/Sehpd0jFdk0b7/TUUg6bTGkpWLpq5kGvPvSb2uV5udMiK4zgbTlZqtRrz8/PMzs7yt3/7t8cdWYGouDIIAr7yla9w7rnncuDAAT760Y/SbDaPWVRwJ8XylFNO4fzzzz8m1zDFiYnphGWKVxQ+8YlP8Pjjj3PHHXdMCcuE+Iu/+At++Zd/mT/90z8lmUyye/duvvGNb6DrOjfeeCPz8/O84Q1vmOq2X0Y8/fTTPPPMM2zfvp1cLndMr6VTVLlvcd+A52Viz4ook1STOL5DUon+d9REpKAXWLPXYtvcNVkjr+VxgijeeFzXyyTnTChJUkoSQRC7hKGDjifMsm1EQSAMQ7ZktmBJNrquDZVOJpQESTWFF7iYjonlj5bJdTDOryMIIlktiyJGkqRJwhKSchIncIYGBhy9zvZ9I7DYGOyYKSWK/MYbfp2Ekhjy6GOHIAh44IEHME2TK664YkOlWo1Gg5tvvhld1/nWt751QjWyf/7zn+d//a//xVNPPXVMr8M0TQzDmJrqp5gY0xXGFK8Y3HHHHdx1113s2rWLO+6441hfzgmBz3/+8/zu7/4u3/zmN3nLW94CwE033YTjONx9993s3LmTD3/4wwBcf/313HzzzfzET/zEcbnbeDIgDEOeeOIJDh06xJVXXkk6nT7Wl8RscpZ3nPUO3nHWO1iz1lhYjMhLza4NTCyGQRZlUmqqOwXpyJE6EcJe4FG1omjevJ7vixMeBUEQSCpJjjSPTiIKRmFoellOz1G1q7HntDwTTVZZa61hKFFssOO5VKwKlUo1ShbbtAlJkkiLKQ6uHcJstFhdDdpdL3rU9dKWUrbcFq7vocoqCBEZ8QK/G7+8HqNKKTsIw4CKtUZWy9Fw6kdld06Lpjc4BZMFhVBgLFkBaDlNdFln1SyjKe2Y6MClalVRJZVfuOKjxyVZOXDgAK1Wa8PJSqvV4r3vfS+yLHPrrbeeUGQFoujzl3oiOwk6r9uUrEwxKaYTlileEVhcXOSKK65gz549lEolzjrrrOmEZQzCMORTn/oUf/mXf8mdd97Jjh07Rh7reR7f//73+frXv86tt96KZVlcf/31zM/P85a3vGVaJrlBCMOQRx99lKWlJa644gqSyeSxvqSxWF9U2ZtI1cF6sjIKiqQwY8zg+A6r1urYZCwBgbyRZ9VcHf7f24lWsigTBiFVp4oXjPaBjDtnSEiz2kRyZWY2z9DymmS0bNeLEgKe62FaUVyy57pomoZhGCSNJFkjOyCBU9pxzmEYULGrBIE/cbx0UkniBC7uul6dpJoioSSwXIu6U39BPS+jpGWqpPKzl32YSzddGnuOlxMdstJsNrniiis2dPPENE3e9773YZomd9xxB5lMZsPO/XLgiSee4IorruALX/gCH/3oR4/15UwxxQvClLBMcdIjDEOuu+463vCGN/Cf/tN/4plnnpkSlhjcddddfOxjH+Ouu+7ivPPOm/hxvu/zgx/8gJ07d7Jnzx6q1SrXXnst8/PzvP3tbx9oNJ5iMgRBwEMPPUSlUuGKK6444XZ1W26LA8sHWFhc4OHyw7i+OzFZgWgKUrfr+KGPLEbRvISR36WXbAgIFBIFyhMUJGa0DKZnklAS3fCAUV0vw6RYISFra2s4jsNMaQZJ6vhJZMIwoGoNEiHP8zBNC8uyUAMVR7S7pn15yE6zLMpsSm7C9m0qVnUgfrkXqqQhiRLmGGM/gKEkKOoF6k6DqlUdiEvuRdEoUjZXGTYmu/aca7juvOvGPtfLjTAMefDBB6nValx55ZUbSlZs2+ZnfuZnKJfL3HXXXcdUivmZz3yG3//93x97zMMPP8wFF1zQ/f8HDx7k6quv5v/f3p2HR1me+wP/zpaZyR6yIQQISwDZAknYrHoCxIZAyExc+FUtR6EX9kAVqadWqp5TbXuO1uW0Vetxq4pURclMwo4SlnjQakkCYQtKkDUxmUzIntnf5/dHyEAgJAHeMJPk+7mu/tHJ8OSebL7feZ/nvlNTU/HOO+/0dIlEsmNgoV6ru3+0P//8c3z66acoKCiASqViYOmmxsbG69pyJEkSvvnmG294qaqqQnp6OgwGA+bOnYvg4GAZq+272vbit71jrNVqfV3SdXF6nDhsPYzvrN9hb+VeONyOTp8frgtHo7Oxwzs0KoUKYbqw88ML6xGmC+tWa96QgBDYPXa4PK7LHtdpdN5D9kDHQykFBGrP1cLlciEqOqq1u1lAMBweh3fNttoUUJ7fhnbhc0UFRqGq0QKb3Qa7zQaHwwG1RgO9Xg+9Tg+1Rg0F2ncOUyiUCNeGQ6VUocHZAOdFXzeVQoWggGA0dKNhwcWvJ0DVOh+mrUnBxXeuQrShV5xkPzl2MpZMXuxXbc2FEN5Qn5KSIuvvidPpxKJFi1BeXo78/Hyfb6mqrq5GTU3noXzEiBHewFZRUYHU1FTMmDED77//Pjs8Uq/EwEK9Vnf/aC9cuBAbN25s9x/XtoN+999/P1avXt3TpfZ7kiShuLgYJpMJZrMZZ86cQVpaGgwGA+bNm4fQ0FC/uvjxF23zI1wuF6ZMmdLnzgZdPKjyYPXByzqOdRZWLtV6BsQNtVKNRkcjHJ6Og1BwQDCckrO1K1knggKCEKGNQL2jHo3OC/NbBFoP2LvdbkRFRZ2f+h4Ij/BcMXwpFAqEa8OhVqqhVChR1VTV7uOSJMFmt8N+/u6LSq1CVHAklFoVFGpFBzdBWrd0BZy/M6TT6Ls35yUwCtaWy+e8AIBaqUGYNhSAAna3HW7J3eHXMC4kDr+csRIBKv/5WRRCoLS0FLW1tUhOTpZ1G6rL5cKSJUtw7Ngx7Ny5E1FRUbKtfSOUl5dj1qxZSE5Oxt///neeGaFei4GF+rzTp0+joeFCx6GKigqkp6cjJycH06dPR1xcnA+r63+EEDh06BDWrVsHs9mMsrIyzJ49G1lZWcjMzERERATDC1q3D+3btw8AZB92548kIaGstgwlVSUosZRAAcVVhZV2d1YUQGhA66HzJleT9yB/YEAgPNKVg8XFLr4TodfoEaxpvYNyouIE3J4LYUWn1kGhUFxxdslla9qqL9TmbLrs3wkhAJcCzbZmNDTXQ6FQQq/XnZ/1osWlvxpRgdFweBzQqbSXtUu+WJi2Nfx11TpZpVQjSBMElUIFlUKFeseFdslh2jD8aua/I1wX3uVrvVGEEDh69ChqamqQkpIia1hxu9146KGHcODAAezatQuxsbGyrX0jlJeXIzU1FcOGDcPq1avbhRU5h8wS3QgMLNTvcEuY/2i72MjJyUFubi4OHTqE22+/HUajEQsWLEBUVFS/DC9OpxP79u2DRqNBYmJiv3tXtG1Q5f6q/dhv2d/pmZTOWv22CQ4I9m7ZqrXVdvn5o4OiUd18+TawmpoaqCQVRg4ZCYHWGTAqpapbwzOvdHA+JCAEerUezc5mNLuaEaDSQq1Uo8XVDCEAh8N+/tyLDQKAXqeDTq+HTqtFbFAsLJd0DgsKCIJeHQiHx4HG862hW1+787LD+JdSQIFwfQRqL2ou0NouORR6dSB+OvF+DA0b2uVrvVHaGlFUV1cjJSVF1rNdHo8Hv/jFL/D111+joKAAN910k2xr3yjvv/8+Fi9e3OHHeOlHvQ0DC/U7DCz+SQiB48ePe8NLcXExbrnlFhiNRmRlZWHgwIH9Irw4HA4UFxcjMDAQEydO5H5zAGcbzqLEUoKSqhL80PSD9/Huds/Sq1svZG1uG4ICglo7ZrntaHQ0XvbcDsOKEKg5VwPJIyEqKgpKpRJqlRohmhColCoIIVDrqIUkddy9LDIwEjW2mi5bPIdqQxGkCUKTs9kbNrw1AHA6nN6OY6HKENjVDuj1+tZ2yR38bujUeoRpwyBBgrW5usN2ye1e+xW+ngqFAksm/wyTYxM7fwE3kBAC3333HSwWi+xhRZIkPProoygoKMCuXbswZMgQ2dYmomvDwEJEfkcIgVOnTsFsNsNsNuPrr7/G9OnTYTAYYDAYEBcX1yfDi81mQ1FREcLDwzFu3DiGlQ5UNVehxFKCE7UncKj6UJfP12l0UKDjLVt6tR7B2mA43U7UO+o77gYmWu+sSEJCVGRrWFEpVQjSBLUbbqlSqhCmDbts1kukPhLn7Oe6fEdbqVQiNCDU2zVNp9YhJCAELo/7stksA/SRqGqoRIut9dC+2+2GVqeDXqeHTq+D6vzPjUqpRqBaj0ZnIwJUAQjVhkESHtTZ6y5rDd3ZnBfDGCPShs/ptP4bSQiBY8eOobKyEikpKbJ2H5QkCY8//ji2bt2K3bt3Iz4+Xra1iejaMbAQkV8TQqCiogJmsxkmkwlffvklpkyZ4g0vw4cP7xPhpbm5GcXFxYiKisLYsWP7xGvqaeds57x3Xr6v+/6yUKBT66BUKNHSRatfAIgNioVHeOCRPN7hlEIIWGusgAAioyKhVCihUqgQog3ptB2zQqFAuC4cOpUOtfZa2N2dT7FXKBSI0F15doxGpUFYQJg3ZNTZ69udRXG53bDbWu+8uFwuBARoERgYiNiwWDS5L7+LpFaqEaYNByBQ56hHhC78iofxbx16G/7fuIWd1n8jXTo8Vc55RJIk4cknn0Rubi527dqFUaNGybY2EV0fBhYi6jWEEKiqqkJeXh5MJhMKCgowfvx4GAwGGI1GJCQk9MoL/cbGRhQXF2PQoEEYNWpUr3wNvnbpoEq1Ug2VQtWtsHLpli2NUoOQgBD88MMPaPI0ISIyAkqFEkqlEmHasG6dgwnThqHJ1QSP8CBcGw6NUoNGVyPsrsvDS5Q+ClZb1+2YQ7WhcHqcCNIEAQKoc9TDc8msF4/HA5vNhgBPAKqbqqE53y5Zp9dD00HjhgH6AVBAAYVCiQZHA5wXdQYbHz0eDyU9BKXCf+70lZWVoby8XPawIoTAM888gw8//BC7du3CmDFjZFubiK4fAwsR9UpCtLaXbQsvO3bswOjRo5GVlYXs7GzcfPPNveLCv76+HsXFxYiPj8fw4cN9XU6f0OJqwZHqI9hXtc87qPJKogKjUGOraXd3RhISaqw1gAKIjY5FuC4cSoWydXtYN9oHh2hDYHPZLhscCbSGDq1a65310p2mAUDrFHuXcLVrx6xUKM/XpkK9vd57qL7tLIpHkmC32WGz2+Cw26FWq72DKjUaDUICguFwO7xdwNoO2Le1OF6WvAxatf/M/Tl+/DjOnDmDlJQUWec4CSHw3HPP4e2338bOnTsxfvx42dYmInkwsBBRryeEQH19PTZs2ACz2YzPPvsMQ4cOhcFgQHZ2tt8eXj937hz279+PUaNGYehQ/+m+1Jc43A4cqTmCkqoSHKo+1K6lcUfnSyRJgrXGCqVCicjISCgUCiigQIQ+AnX2OoRpw1qHNzoa4Oyg69aVhlJ25Kbgm+CSXHC4He1mvVxKp9EBAp1uLVMoFAjThiFYEwJrixV2d/szO5IQsNvtsNlssNvt0Kl1CNQHQhmgRIA2oN2sl8jASPz79H9HiPbaB8fK7cSJEzh16lSPhJWXX34Zr7zyCnbs2IHERP9pLEBEFzCwEFGf09DQgM2bN8NsNmPr1q2IiYnxbhtLTk72i/BSXV2NgwcPYuzYsRg0aJCvy+kX3JIbR2uOoqSqBKcbTuOHph8uDytWK5QqJSIHXAgrAwIHXNZauS0gaFQaNDoaYXfbuz2UEgBigmJgab5wyF2v0SNIEwSnx9nuMH+AKgAalebqWidfNIem7U7OxdQKDSSXhJpGK2x2OxQAdDo99HodBoRE4t9nPIaYoJguP9+NcvLkSZw8eRLJyckICZEvRAkh8Morr+DFF1/E9u3bkZycLNvaRCQvBhYi6tOam5uxbds2mEwmbN68GeHh4cjKyoLBYMD06dN9MuOksrIShw8fxoQJE3rdMLq+QhISjp07hhJLCQ5YDuBcyzlYrVaoVWoMiGw91wF0b84LFEC0Prr1zouzAS3Ozs/NdNQ6+WJatRYhASGQPBJccHXYfvlSkfpI1Ng7bp0cHBAMvVoPu9uOFmcLgrXBqLfXAwCEAJxOB2w2G9wODwyxWRg/eDxiYmJah2P6eAbQqVOn8P333yM5ORmhoaGyrSuEwBtvvIE//OEP2LZtG6ZPny7b2kQkPwYWIuo3bDYbtm/fDpPJhI0bN0Kn02HBggXIzs7GLbfcckOmyZeXl+Pbb7/FxIkTER0d3eOfj7rmcDiw6atNOOM6g1pdrbdbV3fPl+jVeggI75attoDQ0eT57q6pPj9xvsXdglBtKIQQqHPUdTjrJUIX4e1s1hmFQoEofRQABRweBxrOhxag9TzM0ikPYYg2DhaLBRaLBXa7HZGRkYiJiUF0dDQ0Gk2Xdcvp9OnTOH78OJKSkhAWFibbukIIvPvuu3j66aexefNm3HrrrbKtTUQ9g4GFiPolp9OJnTt3IicnB+vXr4dCoUBmZiays7Nx++2398jFWdsFWGJiIgYMGCD7+nT1HA4HioqKEBwcjAkTJkCpVOJsw1kcsR7B3h/2orKpstN/r1ProFB0POcFAAI1gQjSBMHhcSBAGQCr3drlAEmlQokw3eXdyNpmvSihRJ2zDm6PG2G6MDQ5m+CRPFdY7YJLw5JWrUVoQChcHjcWJGRi2uBp3o8JIdDc3OwNL01NTYiIiEBMTAxiYmKg1fbsYfwzZ86grKysR8LKmjVr8Pjjj2Pjxo1ITU2VbW0i6jkMLETU77ndbhQUFGDdunVYv349nE4n5s+fD6PRiFmzZl33xZkQwntoWO4LMLp2bWElJCQE48eP7/BsU1VzFfZX7ccBywGcrj/d7mNatbb7rZP1kWhxtSA4IBguyYV6e32Hk+e7msnSRqlQIiYoBkII1NprO2wAcLHOtqEZxxgxJ77zwZA2m80bXurr6xEaGuoNL3IObgSAs2fP4rvvvkNSUhLCw8NlW1cIgbVr1+LRRx9FXl4e0tLSZFubiHoWAwsR0UU8Hg/27NkDk8mE3NxcNDY2IiMjA0ajEWlpadDr9Ve13sWD7pKSkmQ9NEzXzm63o6ioCGFhYRg/fny3WmDX2GpwwHIA+6v2o6KpAiqFqluH4QfoB6DWXttuy5ZGpUGYNgySJLVu9RLSFQ/4d6Rdm2MFOp31EhMYA8sVptinDU+DYbShy893MYfDgerqalgsFpw7dw5BQUGIiYlBbGwsgoKCrqudeNuWySlTpiAiIuKa1+mIyWTCsmXL8Omnn2LevHmyrk1EPYuBhYjoCiRJwtdff+0NL9XV1UhPT4fBYEB6enqX7VWFEDh69CisViuSkpJkHXRH185ms6GoqAgREREYN27cNV1gNzgavOHl2Llj3in0l4rQR6DeXn/FjwNtk+fDoFPrUNVc1eH8lotdembmUqHa8x3CXC0IDAi84p2VmXEzcd/4+zr9XF1xuVywWq2wWCywWq3QarWIjY1FTEwMQkNDr+prW1FRgaNHj2Ly5Mmyb5ncsGEDfvazn+Hjjz9GVlaWrGsTUc9jYCEi6gZJklBcXIycnByYzWacPXsWd9xxBwwGAzIyMi7b5uV0OrF48WKkpqbipz/96VXfmaGeYbPZUFhYiKioKIwdO1aW4aItrhYcqj6E/VX7cbTmqHcGS7guHI2ORnhE1+dL2loSqxQqhOnCoFAo0GBv8A51bKNVa6FUKK94ZuZikYGRcLgd0GtaO4Rd3G0sMTYRSxKXyDrF3uPxoKamBhaLBdXV1VCpVN5tY+Hh4Z22E//hhx9QWlqKxMREREZGylYTAGzZsgUPPvggVq9ejbvuukvWtYnoxmBgISK6SpIk4eDBg8jJyUFubi7Kysowe/ZsGAwGzJ8/HzqdDnfffTdOnTqFrVu3ciikn2hpaUFRURGio6MxZswYWcLKpRxuB45Yj+CQ9RAOWQ5163yLd37KJRQKBcJ14VAr1Kh31gMC3Z7J0tFQTL1Gj2BNMAYGD8SSxCVQK3uuK54kSaitrfWeexFCIDo6GjExMRgwYEC7dsltbb4TExMRFRUlax35+fm477778Pbbb+Pee++VdW0iunEYWIgIQOtwtt///vfYuXMnKisrMWjQIPz0pz/FU089hYCAAF+X57eEECgtLfWGl0OHDiE4OBg6nQ6bNm2S7V18uj7Nzc0oKipCbGwsRo8efUO+J27JjVJrKUosJThoOdhheLlSWLmURqVBuDYcAgLNzmbY3Fe+w9LZNrT48Hg8nPwwtOqe7fJ1MSEE6uvrveHF6XQiKioKMTExkCQJpaWlmDRpkuxtvgsKCrBw4UL89a9/xaJFi/h7SNSLMbAQEQBg27Zt+OSTT3Dvvfdi1KhROHToEJYuXYpFixbhpZde8nV5vUJdXR3S0tJQU1ODiIgIHDx4ED/60Y9gNBqRlZWF2NhYXjT5QHNzMwoLCzFo0CCMGjXKJ9+DSwdV1tvrOz0MfzGVUoUgTRAaHA3ex0K0IdCr9Ghxt7Sb9dJZm+NBIYPw6NRHEaiRt6vX1RBCoKmpCRaLBRUVFbDb7QgNDUVcXByio6Nle3Pkyy+/xF133YX/+Z//wc9+9jP+3hH1cgwsRHRFL774Iv73f/8X33//va9L8XtWqxVz585FTEwMcnJyoNfrcerUKZhMJpjNZnzzzTeYMWMGDAYDDAYDBg8ezIuoG6CpqQlFRUUYPHgwRo4c6RdfcyEETtafxP6q/SixlHTaFUylUCFEG4I6e90VnxOkCUKgJhAKoUCts9Z7huZi0UHRWDl1JUK18k2Lvx7V1dU4cOAARo8eDY/HA4vFgoaGBoSHh3vPveh0umta+5tvvoHRaMR///d/Y/ny5X7xPSei68PAQkRX9PTTT2Pbtm0oLCz0dSl+raKiAnfccQfGjRuHDz/88LJ3iYUQKC8vh9lshslkwldffYWkpCRveImPj+dFVQ9obGxEUVERhgwZghEjRvjt1/hsw1lveLl4UOWVBkh2JDggGA6PA2qFGsHaYDg9TtSfn2QfoY/AyqkrMUDvH8NKrVYrSkpKMGHCBMTGxnoft9vt3nbJtbW1CAkJ8YaX7nbYKyoqQlZWFn7729/i0Ucf9dvvORFdHQYWIupQWVkZkpOT8dJLL2Hp0qW+LsdvnTx5EnPmzMHtt9+Ot99+G2p15weZhRCoqqpCbm4uTCYTvvjiC0yYMMEbXhISEniRJYO2sDJ06FCMGDHC1+V0W2VTJUosJdhftR8trpYuB0gCQGBAIDySBw63o93jWrUWA4MG4l8n/itigmJ6quSrUlNTg5KSEowbNw4DBw684vOcTiesViuqqqpw7tw56PV6b3gJCQnp8HekpKQE8+fPx6pVq/D444/z94ioD2FgIerjVq1ahT/+8Y+dPqe0tBRjx471/v/y8nL8y7/8C1JTU/HOO+/0dIm92tmzZ/Huu+/i6aef7rRta0eEEKipqcH69ethMpmwY8cOjB49GgaDAUajETfffDMvuq5BQ0MDioqKMHz4cMTHx/u6nGtWY6tBSVUJSiwlOFF3Ah3957qzmSyBmkCsnLYSNwXfdCPK7dK5c+ewf/9+3Hzzzbjppu7X5Ha7UVNTg6qqKlitVrS0tGDDhg248847kZaWBrVajcOHDyMjIwMrV67EU089xd8boj6GgYWoj6uurkZNTeeTs0eMGOHdxlRRUYHU1FTMmDED77///lVfhNO1EUKgrq4OGzZsgNlsxueff45hw4Z5w8vEiRP5veiG+vp6FBcXY8SIERg2bJivy5FNR4MqO5vJolVrsSJlBYaG+UdL7draWuzbtw9jx47FoEGDrnmdtpbizz//PHbv3g2lUomUlBTs3bsXy5cvx3/9138xrBD1QQwsRORVXl6OWbNmITk5GX//+9/bzUqgG6uhoQGbNm2C2WzGtm3bEBsb6w0vSUlJDC8dqKurw759+zBy5Mg+PfumxdWCg5aDKK0pxQHLgcsO2WvVWixPWo4REf6xFa6urg7FxcUYPXo04uLiZFvX6XTigw8+wKpVq6BWq6FUKjF//nzceeedmDt3brfPvRCR/2NgISIArWElNTUVw4YNw+rVq9uFlc72mlPPa25uxtatW2EymbB582ZEREQgKysLRqMR06ZNY7DEhXfwExISMGTIEF+Xc8M43A4cth5GSVUJDlsPQxISfj7l5xgTOcbXpQG4ECITEhJkDSsAcOLECcydOxd33XUXXn75ZRQXFyM3NxdmsxmnTp1Ceno67rzzTmRmZmLAAP9oOEBE14aBhYgAAO+//z4WL17c4cf4Z8J/2Gw2fP755zCZTNi0aRP0ej0WLFgAo9GIW265pctD/31R29kIud/B721cHhdq7bV+c8C+bXveqFGjZA+Rp0+fxty5czFv3jy89tprl91xLC0thdlshtlsxuHDh1FZWYnw8HBZayCiG4eBhYiol3I6ncjPz4fJZMKGDRugVCqRmZmJ7Oxs3HbbbdBoNL4usce1dZ263rMRJK+2xgc9cZaooqIC6enpmD17Nt58880ut0dWVlbyLjFRL8fAQkTUB7hcLhQUFCAnJwd5eXlwuVzIzMyEwWDArFmzoNVqfV2i7KxWKw4cOHDVXaeoZ7W1lI6Pj5e9S1tlZSUyMjIwY8YMvPvuu9wOSdRPMLAQEfUxHo8He/bs8YaXxsZGzJs3DwaDAWlpadDr9b4u8bpVV1fj4MGDXc7zoBurLawMGzYMw4cPl3Xt6upqzJs3D5MmTcKaNWv65fZHov6KgYWIqA+TJAlff/01cnJykJubC6vVirlz58JgMCA9Pb1XdlKyWCw4ePDgZZPSybeamppQWFjYI8M6a2pqMH/+fCQkJGDt2rX9YrsjEV3AwEJE1E9IkoSioiJveCkvL8cdd9wBg8GAjIwMhIaG+rrELlVVVeHQoUOYOHEiYmL843A5tXayKywsRFxcHEaOHCnr2nV1dcjMzERcXBxycnK8M6OIqP9gYCEi6ockScKBAwe84eX48eOYM2cODAYD5s+fj/DwcL8bwFdZWYkjR45g4sSJiI6O9nU5dF5bWBk8eDBGjhwp689NQ0MDsrKyEBkZiby8vD55FouIusbAQkTUzwkhUFpaipycHJjNZhw5cgSpqakwGo3IzMxEZGSkz8PLDz/8gNLSUkyaNAlRUVE+rYUuaGlpQWFhIQYOHIiEhARZf06amppgNBoRGBiIjRs39omzV0R0bRhYiIjISwiBsrIyb3jZv38/br31VhgMBmRlZSE2NvaGh5eKigocPXoUiYmJiIyMvKGfm67MZrOhsLAQMTExGD16tKw/Fy0tLbjrrrsAAFu2bOmVZ62ISD4MLERE1CEhBE6ePAmTyQSz2Yy9e/dixowZyMrKgsFgwODBg3s8vJSXl+Pbb7/F5MmTOa3cj7SFlejoaIwZM0bWnwObzYaFCxfC4XBg69atCAkJkW1tIuqdGFiIiKhLQgicPXvWOz38q6++QnJyMgwGAwwGA4YNGyZ7eDlz5gyOHTuGKVOmICIiQta16drZ7XYUFhYiMjISY8eOlfX77nA4cO+996K2thaff/45wsLCZFubiHovBhYiIroqQghUVlYiNzcXJpMJX3zxBSZNmuQNL6NGjbrui9jTp0/j+PHjmDJlCsLDw+UpnK5bW1gZMGAAbr75ZlnDitPpxKJFi1BRUYHt27fzjhoReTGwEBHRNRNCwGq1Yv369TCZTNi5cyfGjBnjDS/XclF76tQpfP/990hKSuI77H7E4XCgsLAQ4eHhGDdunKxhxeVyYfHixTh+/Dh27NjBxgpE1A4DCxERyUIIgbq6OmzYsAEmkwnbt29HfHw8DAYDjEYjJkyYAKVS2ekaJ06cwMmTJxlW/IzD4UBRURFCQ0Mxfvx4WcOK2+3GQw89hAMHDmD37t2cr0NEl2FgISKiHtHQ0IBNmzbBZDJh27ZtuOmmm5CVlYXs7GxMmTLlsvDyxBNPwGKx4C9/+UuvGGLZXzidThQVFSE4OBgTJkyQNax4PB4sX74c//znP7F7927cdNNNsq1NRH0HAwsReR05cgQWiwWpqam+LoX6mKamJmzduhUmkwlbtmzBgAEDsGDBAmRnZyM5ORmrVq3Cxx9/jLy8PEybNs3X5dJ5bWElKCioW3fIroYkSVixYgW++OIL7Nq1C0OGDJFtbSLqW+T7y0NEvVbb+xZnz57F7NmzUVdXB76X0d5f//pXxMfHQ6fTYfr06fjnP//p65J6leDgYNxzzz1Yu3Ytqqqq8Oc//xn19fW48847MXjwYLz33nv4/e9/j6SkJF+XSue5XC4UFxcjMDCwR8LKr371K+zatQv5+fkMK0TUKQYWIvJu8Rg6dCjGjBmDwsJCKBQKfP311zAajVixYkW/DjCffPIJHnvsMfz2t79FcXExEhMTkZ6eDovF4uvSeiW9Xg+j0YjVq1djyZIl0Gq1yMjIwLPPPouEhASsWLECu3btgsvl8nWp/VZbWNHpdJg4caLsYeXJJ5/E5s2bkZ+fj/j4eNnWJqK+iVvCiAhA615ylUqFKVOm4Mc//jEkSUJubi5mzZqFJUuWYObMmZAkCZIkQa1W+7rcG2r69OmYOnUqXnvtNQCtF1xDhgzBI488glWrVvm4ut5JCIHHHnsMOTk52LlzJxISEuByubB7926YTCbk5eXB7XYjMzMTBoMBqamp0Gq1vi67X3C73SguLoZGo0FiYqLsYeWZZ57BRx99hF27dmHMmDGyrd0THA4Hpk+fjpKSEuzbtw+TJ0/2dUlE/RLvsBARAEClUqG5uRlKpRLvv/8+vvvuO3z66ad46623MHPmTJSXl0OpVPa7sNK2hz8tLc37mFKpRFpaGv7xj3/4sLLeSwiBFStWwGw2o6CgAAkJCQAAjUaDO+64A2+88QbOnj2LnJwcBAcH45FHHsHw4cOxdOlSbNq0CTabzcevoO9qCytqtRqTJk2SNawIIfDcc89hzZo1yM/P9/uwAgC//vWvMWjQIF+XQdTvMbAQ9WMX32D94IMPsGjRIuzbtw+DBw/G+vXrkZSUBIVCAbfbjYcffhjx8fF4/fXXIUmSD6u+saxWKzweD2JjY9s9Hhsbi8rKSh9V1XtJkoTly5dj8+bNKCgowIgRIzp8nlqtRmpqKl577TWcOnUKmzdvRkxMDJ544gkMHz4cDzzwAHJzc9Hc3HyDX0Hf5fF4sG/fPqhUKiQmJkKlUsm2thACL730Et58801s374d48aNk23tnrJ161Z8/vnneOmll3xdClG/x8BC1I8pFAp88803mDNnDp5//nlkZGTgqaeewsCBA1FdXe19nhACzz77LO677z6UlJTI+q4r9S8KhQKDBg3C7t27u312QaVS4Uc/+hH+9Kc/4fjx48jPz8fw4cPxzDPPID4+Hvfddx8+/fRTNDQ09GzxfVhbWFEoFJg8ebLsYeWVV17BX/7yF3z22WeYNGmSbGv3lKqqKixduhRr1qxBYGCgr8sh6vd41UHUj509exYPP/wwhg4dii1btmDp0qVYuHAh9uzZg6amJgCt74hrNBpER0ejubkZs2fP9j7eH0RFRUGlUqGqqqrd41VVVRg4cKCPquq9FAoF/uM//gNDhw69pn+vVCoxbdo0vPDCC/j222+xZ88eTJgwAS+88ALi4+OxcOFCfPjhh+x0dxU8Hg/2798PIQSmTJkie1h544038MILL2Dr1q1ITk6Wbe2eIoTAgw8+iH/7t39DSkqKr8shIjCwEPVrcXFx2Lt3L9566y3vu90BAQGQJAmlpaUA4L2bcvr0aZw9e9Y7o6W/3GUJCAhAcnIyduzY4X1MkiTs2LEDM2fO9GFlpFQqMWXKFPzhD3/A4cOHUVRU5G2OEB8fjzvvvBOrV6+G1WpleLkCj8eDkpISSJLUI2Hlb3/7G373u99h06ZNmD59umxrX4tVq1ZBoVB0+r+jR4/i1VdfRWNjI37zm9/4tF4iuoBdwoj6MUmSLgseDocDa9asQXBwMH7yk58AAGw2Gz788EMUFxfj9ddf90WpPvXJJ5/ggQcewJtvvolp06bhz3/+Mz799FMcPXr0srMt5HtCCBw7dgw5OTkwm80oKSnBbbfdBoPBgKysLMTExMg6rb23kiQJJSUlcLlcSEpKkrWhhhACa9aswa9//Wts2LDBL4bRVldXo6amptPnjBgxAgsXLsTGjRvb/Yy0dVG8//77sXr16p4ulYguwcBCRF1qbm7GE088galTp+KBBx7oMOj0da+99hpefPFFVFZWYvLkyXjllVd8/o4xdU0IgRMnTsBkMsFsNqOwsBAzZ85EVlYWDAYDBg0a1C/DS1tYcTqdSEpKgkajkW1tIQTWrl2LlStXIi8vD3PmzJFt7Rvh9OnT7c5DVVRUID09HTk5OZg+fTri4uJ8WB1R/8TAQkTtCCEgSRJUKhWEEHj11VcRGRmJzZs346OPPvI+pz9e5FHvJoTAmTNnYDabkZubi6+++grJyckwGAwwGo0YOnRov/i5liQJBw8ehM1mQ3JysqxhBQBMJhOWLVuGdevWISMjQ9a1feHkyZMYPnw457AQ+VD/eouUiLqkUCi8+9ibm5tx+vRpPPvss1i7di1+97vfoaWlpV9c1FHfo1AoMHToUKxcuRK7d+/GqVOnsGjRIuTn52PSpEm4/fbb8fLLL6OsrKzPnnlpCystLS2y31kBgA0bNmDZsmX46KOP+kRYISL/wDssRNQtRUVF2LdvH+655x6EhYX5uhwi2QghYLVakZeXB5PJhJ07d2Ls2LEwGo0wGAwYO3ZsnwjpkiTh0KFDaG5uRnJyMgICAmRdf8uWLXjggQfwwQcf4K677pJ1bSLq3xhYiOiKLt4eRtQfCCFQW1uLDRs2wGQyYfv27RgxYoR329j48eN75fktIQQOHz6MhoYGpKSkyB5W8vPzcd999+Gdd97xNusgIpILAwsRdQvPrVB/VF9fj02bNsFkMuGzzz7DoEGDkJWVhezsbEyePLlXhBchBI4cOYK6ujqkpKRAq9XKun5BQQHuuecevP7661i0aBH/ThCR7BhYiIiIuqGpqQlbtmyByWTC1q1bERkZiQULFiA7OxtTp071y/AihEBpaSlqa2uRnJwMnU4n6/p79uzB3XffjT/96U9YsmQJwwoR9QgGFiIioqvU0tKCzz77DGazGZs2bUJQUBCysrJgNBoxc+ZMv9hGKYTA0aNHUVNTg5SUFNnDyjfffAOj0YjnnnsOy5YtY1ghoh7DwEJERHQd7HY78vPzYTabsX79emg0GixYsABGoxG33nqr7J24ukMIgW+//RbV1dVISUmBXq+Xdf2ioiJkZWXhmWeewYoVKxhWiKhHMbAQERHJxOVyYffu3cjJyUFeXh48Hg8yMzNhNBqRmpoq+2H3jggh8N1338FisfRIWCkpKcH8+fPxm9/8Br/61a8YVoioxzGwEBER9QC32409e/Zg3bp1yMvLQ0tLC+bNmweDwYC0tDTZt2gBrWHl2LFjqKysREpKCgIDA2Vd//Dhw8jIyMDKlSvx1FNPMawQ0Q3BwEJERNTDPB4P/vGPf3jvvNTW1iI9PR1GoxE//vGPZQkWQgiUlZWhoqICKSkpCAoKkqHyC44ePYqMjAz8/Oc/x7PPPsuwQkQ3DAMLERHRDSRJEvbu3YucnBzk5uaisrISd9xxB4xGI+bOnYuQkJBrWresrAzl5eU9ElaOHTuGjIwMLFq0CM8995xfdkQjor6LgYWIiMhHJEnC/v37YTKZYDabcfLkSaSlpcFgMGDevHkICwvr1p2M48eP48yZM0hJSUFwcLCsNZ44cQJz587F3XffjZdffplhhYhuOAYWIiIiP9A2jT4nJwdmsxnffvstZs2aBYPBgMzMTAwYMKDD8PLSSy8hISEBc+bMkT2snD59Gunp6cjMzMSrr77KsEJEPsHAQkRE5GfaOn213XkpKSnBbbfdBqPRiAULFiAmJgYKhQL/+Z//ibfeegsbNmzAtGnTZK2hoqIC6enpmDNnDt544w2GFSLyGQYWIiKSzXPPPQez2YyjR49Cr9fjlltuwR//+EeMGTPG16X1WkIIfP/99zCZTMjNzUVhYSFmzpwJnU6Hr776CiaTCbfddpusn7OyshIZGRmYOXMm/va3v/nFIEwi6r8YWIiISDZz587FT37yE0ydOhVutxtPPvkkDh06hCNHjsh+ELw/EkLgzJkz+OUvf4n169cDAKZOnQqDwQCDwYChQ4ded/cui8WCefPmYfLkyfjggw+gVqvlKJ2I6JoxsBARUY+prq5GTEwMCgoKcPvtt/u6nD7hjTfewBNPPIFt27Zh2LBhyM3Nhclkwv/93/8hMTERRqMRBoMBI0aMuOrwUlNTg/nz52P06NH4+OOPodFoeuhVEBF1HwMLERH1mLKyMiQkJODgwYOYMGGCr8vp9d555x089thj2LZtG2655Rbv40IIVFdXIy8vDyaTCbt27cLNN9/sDS9jxozpMrzU1dUhMzMTQ4YMwbp16xAQENDTL4eIqFsYWIiIqEdIkoSsrCzU1dVhz549vi6n13vvvfewYsUKbNmypdMzK0II1NbWYv369TCZTMjPz8fIkSORlZWF7OxsjBs37rID9A0NDcjKykJUVBRyc3Oh1Wp7+uUQEXUbAwsREfWIZcuWYevWrdizZw/i4uJ8XU6vVllZiYkTJ2LdunVITU29qn9bX1+PjRs3wmw2Y9u2bRg8eDCMRiOMRiMSExPR0tICo9GIwMBAbNy4EXq9vmdeBBHRNWJgISIi2T388MNYv349vvjiCwwfPtzX5fQJDQ0NCA0Nva41GhsbsWXLFpjNZmzZsgUDBgyAJEmIj4/Htm3b2BiBiPwSAwsREclGCIFHHnkEubm52L17NxISEnxdEl1BS0sLzGYznn/+eXz55ZcICwvzdUlERB1iYCEiItksX74cH330EdavX99u9kpYWBi3GhER0TVhYCEiItlcqRPVe++9hwcffPDGFkNERH0Cp0EREZFs+B4YERHJTdn1U4iIiIiIiHyDgYWIiIiIiPwWAwsREREREfktBhYiIiIiIvJbDCxEREREROS3GFiIiIiIiMhvMbAQEREREZHfYmAhIiIiIiK/xcBCRERERER+i4GFiIiIiIj8FgMLERERERH5LQYWIiIiIiLyWwwsRERERETktxhYiIiIiIjIbzGwEBERERGR32JgISIi8jPPP/88FAoFVq5c6etSiIh8joGFiIjIj+zduxdvvvkmJk2a5OtSiIj8AgMLERGRn2hqasL999+Pt99+GxEREb4uh4jILzCwEBER+Ylf/OIXmD9/PtLS0nxdChGR31D7ugAiIiIC1q5di+LiYuzdu9fXpRAR+RUGFiIiIh87c+YMHn30UWzfvh06nc7X5RAR+RWFEEL4uggiIqL+LC8vD9nZ2VCpVN7HPB4PFAoFlEolHA5Hu48REfUnDCxEREQ+1tjYiFOnTrV7bPHixRg7diyeeOIJTJgwwUeVERH5HreEERER+VhISMhloSQoKAiRkZEMK0TU77FLGBERERER+S1uCSMiIiIiIr/FOyxEREREROS3GFiIiIiIiMhvMbAQEREREZHfYmAhIiIiIiK/xcBCRERERER+i4GFiIiIiIj8FgMLERERERH5LQYWIiIiIiLyWwwsRERERETktxhYiIiIiIjIbzGwEBERERGR32JgISIiIiIiv8XAQkREREREfouBhYiIiIiI/BYDCxERERER+S0GFiIiIiIi8lsMLERERERE5LcYWIiIiIiIyG8xsBARERERkd9iYCEiIiIiIr/FwEJERERERH6LgYWIiIiIiPwWAwsREREREfktBhYiIiIiIvJbDCxEREREROS3GFiIiIiIiMhvMbAQEREREZHfYmAhIiIiIiK/xcBCRERERER+i4GFiIiIiIj81v8HktcjRIM1xXcAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "M = 150\n", - "\n", - "σ_1, σ_2 = np.sqrt(np.diag(Σ))\n", - "\n", - "x = np.linspace(-3 * σ_1, 3 * σ_1, M)\n", - "y = np.linspace(-3 * σ_2, 3 * σ_2, M)\n", - "\n", - "x, y = np.meshgrid(x, y)\n", - "xf = x.flatten()\n", - "yf = y.flatten()\n", - "xy = np.stack([xf, yf], axis=1)\n", - "exy = np.exp(μ + xy)\n", - "\n", - "z = X._cdf(exy).reshape(M, M)\n", - "\n", - "cdf_approx = np.array(\n", - " [\n", - " [np.sum(X_approx.pmv.reshape(N, N)[0:j, 0:i]) for i in range(1, N + 1)]\n", - " for j in range(1, N + 1)\n", - " ]\n", - ")\n", - "\n", - "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", - "ax = plt.axes(projection=\"3d\")\n", - "\n", - "ax.scatter(\n", - " np.log(X_approx.atoms[0].flatten()),\n", - " np.log(X_approx.atoms[1].flatten()),\n", - " cdf_approx.flatten(),\n", - " color=\"red\",\n", - ")\n", - "ax.plot_surface(μ[0] + x, μ[1] + y, z, alpha=0.6, cmap=cm.ocean)\n", - "\n", - "ax.set_xlabel(\"$x_1$\")\n", - "ax.set_ylabel(\"$x_2$\")\n", - "ax.set_zlabel(\"CDF\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Looking at the approximation using the sqaure root or eigendecomposition, note that the result is a different (although not much worse) estimation of the true CDF, despite the expectation of the discrete approximation remaining unchanged." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([1., 1.])" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "N = 10\n", - "\n", - "X_approx2 = X._approx_equiprobable(N, decomp=\"sqrt\")\n", - "X_approx2.expected()" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "M = 150\n", - "\n", - "σ_1, σ_2 = np.sqrt(np.diag(Σ))\n", - "\n", - "x = np.linspace(-3 * σ_1, 3 * σ_1, M)\n", - "y = np.linspace(-3 * σ_2, 3 * σ_2, M)\n", - "\n", - "x, y = np.meshgrid(x, y)\n", - "xf = x.flatten()\n", - "yf = y.flatten()\n", - "xy = np.stack([xf, yf], axis=1)\n", - "exy = np.exp(μ + xy)\n", - "\n", - "z = X._cdf(exy).reshape(M, M)\n", - "\n", - "cdf_approx = np.zeros(N**2)\n", - "\n", - "for i in range(N**2):\n", - " atom = X_approx2.atoms[:, i]\n", - " for j in range(N**2):\n", - " if np.all(X_approx2.atoms[:, i] > X_approx2.atoms[:, j]):\n", - " cdf_approx[i] += X_approx2.pmv[j]\n", - "\n", - "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", - "ax = plt.axes(projection=\"3d\")\n", - "\n", - "ax.scatter(\n", - " np.log(X_approx2.atoms[0].flatten()),\n", - " np.log(X_approx2.atoms[1].flatten()),\n", - " cdf_approx.flatten(),\n", - " color=\"red\",\n", - ")\n", - "ax.plot_surface(μ[0] + x, μ[1] + y, z, alpha=0.6, cmap=cm.ocean)\n", - "\n", - "ax.set_xlabel(\"$x_1$\")\n", - "ax.set_ylabel(\"$x_2$\")\n", - "ax.set_zlabel(\"CDF\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Finally, we can add see how the CDF is approximated with the tail points functionality enabled. As it happens, the curvature at the tails is approximated better in this manner." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([0.89439444, 0.95068046])" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "N = 10\n", - "\n", - "X_approx3 = X._approx_equiprobable(N, tail_bound=0.0015, endpoints=True)\n", - "X_approx3.expected()" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "M = 150\n", - "\n", - "σ_1, σ_2 = np.sqrt(np.diag(Σ))\n", - "\n", - "x = np.linspace(-3 * σ_1, 3 * σ_1, M)\n", - "y = np.linspace(-3 * σ_2, 3 * σ_2, M)\n", - "\n", - "x, y = np.meshgrid(x, y)\n", - "xf = x.flatten()\n", - "yf = y.flatten()\n", - "xy = np.stack([xf, yf], axis=1)\n", - "exy = np.exp(μ + xy)\n", - "\n", - "z = X._cdf(exy).reshape(M, M)\n", - "\n", - "cdf_approx = np.array(\n", - " [\n", - " [np.sum(X_approx3.pmv.reshape(12, 12)[0:j, 0:i]) for i in range(1, N + 3)]\n", - " for j in range(1, N + 3)\n", - " ]\n", - ")\n", - "\n", - "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", - "ax = plt.axes(projection=\"3d\")\n", - "\n", - "ax.scatter(\n", - " np.log(X_approx3.atoms[0].flatten()),\n", - " np.log(X_approx3.atoms[1].flatten()),\n", - " cdf_approx.flatten(),\n", - " color=\"red\",\n", - ")\n", - "ax.plot_surface(μ[0] + x, μ[1] + y, z, alpha=0.6, cmap=cm.ocean)\n", - "\n", - "ax.set_xlabel(\"$x_1$\")\n", - "ax.set_ylabel(\"$x_2$\")\n", - "ax.set_zlabel(\"CDF\")\n", - "plt.show()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.14" - } - }, - "nbformat": 4, - "nbformat_minor": 4 + "nbformat": 4, + "nbformat_minor": 4 } diff --git a/examples/Distributions/ExpectedValue.ipynb b/examples/Distributions/ExpectedValue.ipynb index 844d9a92b..d58743069 100644 --- a/examples/Distributions/ExpectedValue.ipynb +++ b/examples/Distributions/ExpectedValue.ipynb @@ -1,609 +1,609 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Demonstrations and Timings of HARK.expected\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, we import the relevant libraries.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:29:18.788837Z", - "iopub.status.busy": "2024-07-11T15:29:18.788656Z", - "iopub.status.idle": "2024-07-11T15:29:19.321764Z", - "shell.execute_reply": "2024-07-11T15:29:19.321241Z" + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Demonstrations and Timings of HARK.expected\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First, we import the relevant libraries.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:29:18.788837Z", + "iopub.status.busy": "2024-07-11T15:29:18.788656Z", + "iopub.status.idle": "2024-07-11T15:29:19.321764Z", + "shell.execute_reply": "2024-07-11T15:29:19.321241Z" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "from time import time\n", + "\n", + "import numpy as np\n", + "\n", + "from HARK.distributions import (\n", + " MeanOneLogNormal,\n", + " Normal,\n", + " calc_expectation,\n", + " combine_indep_dstns,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next, we define discrete distributions as approximations of continuous distributions.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:29:19.323728Z", + "iopub.status.busy": "2024-07-11T15:29:19.323403Z", + "iopub.status.idle": "2024-07-11T15:29:19.333036Z", + "shell.execute_reply": "2024-07-11T15:29:19.332500Z" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "dd_0_1_20 = Normal().discretize(20)\n", + "dd_1_1_40 = Normal(mu=1).discretize(40)\n", + "dd_10_10_100 = Normal(mu=10, sigma=10).discretize(100)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### The **new** `DiscreteDistribution.expected()` method\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There are two ways to get the expectation of a distribution. The first is to use the **new** `expected()` method of the distribution shown below.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:29:19.335074Z", + "iopub.status.busy": "2024-07-11T15:29:19.334783Z", + "iopub.status.idle": "2024-07-11T15:29:31.778443Z", + "shell.execute_reply": "2024-07-11T15:29:31.777953Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.53 µs ± 10.4 ns per loop (mean ± std. dev. of 7 runs, 1,000,000 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "ce1 = dd_0_1_20.expected()\n", + "ce2 = dd_1_1_40.expected()\n", + "ce3 = dd_10_10_100.expected()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The second is to use `HARK.distributions.calc_expectation()`. Comparing the timings, the first method is significantly faster.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:29:31.780122Z", + "iopub.status.busy": "2024-07-11T15:29:31.779855Z", + "iopub.status.idle": "2024-07-11T15:29:39.059028Z", + "shell.execute_reply": "2024-07-11T15:29:39.058519Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "89.5 µs ± 985 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "ce1 = calc_expectation(dd_0_1_20)\n", + "ce2 = calc_expectation(dd_1_1_40)\n", + "ce3 = calc_expectation(dd_10_10_100)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### The Expected Value of a function of a random variable\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Both of these methods allow us to calculate the expected value of a function of the distribution. Using the first method, which is the distribution's own method, we only need to provide the function.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:29:39.060781Z", + "iopub.status.busy": "2024-07-11T15:29:39.060524Z", + "iopub.status.idle": "2024-07-11T15:29:42.915305Z", + "shell.execute_reply": "2024-07-11T15:29:42.914709Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "4.75 µs ± 47.3 ns per loop (mean ± std. dev. of 7 runs, 100,000 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "ce4 = dd_0_1_20.expected(lambda x: 2**x)\n", + "ce5 = dd_1_1_40.expected(lambda x: 2 * x)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Using `HARK.distributions.calc_expectation()`, we first provide the distribution and then the function.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:29:42.917103Z", + "iopub.status.busy": "2024-07-11T15:29:42.916828Z", + "iopub.status.idle": "2024-07-11T15:29:52.328154Z", + "shell.execute_reply": "2024-07-11T15:29:52.327637Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "116 µs ± 1.51 µs per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "ce4 = calc_expectation(dd_0_1_20, lambda x: 2**x)\n", + "ce5 = calc_expectation(dd_1_1_40, lambda x: 2 * x)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### The expected value of a function with additional arguments\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For both methods, we can also provide a number of arguments to the function `args`, which are passed to the function and gets called as `func(dstn,*args)`.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:29:52.329834Z", + "iopub.status.busy": "2024-07-11T15:29:52.329585Z", + "iopub.status.idle": "2024-07-11T15:30:01.893270Z", + "shell.execute_reply": "2024-07-11T15:30:01.892739Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "11.8 µs ± 165 ns per loop (mean ± std. dev. of 7 runs, 100,000 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "ce6 = dd_10_10_100.expected(lambda x, y: 2 * x + y, 20)\n", + "ce7 = dd_0_1_20.expected(lambda x, y: x + y, np.hstack([0, 1, 2, 3, 4, 5]))" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:01.894939Z", + "iopub.status.busy": "2024-07-11T15:30:01.894674Z", + "iopub.status.idle": "2024-07-11T15:30:04.417377Z", + "shell.execute_reply": "2024-07-11T15:30:04.416848Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "311 µs ± 2.32 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "ce6 = calc_expectation(dd_10_10_100, lambda x, y: 2 * x + y, 20)\n", + "ce7 = calc_expectation(dd_0_1_20, lambda x, y: x + y, np.hstack([0, 1, 2, 3, 4, 5]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### The expected value of a function in `HARK`\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For a more practical demonstration of these methods as they would be used in `HARK`, we can create a distcrete distribution of shocks to income `IncShkDstn`. Given an array of liquid assets `aGrid` and an interest rate `R`, we can calculate the expected value of next period's cash on hand as the function `m_next = R * aGrid / perm_shk + tran_shk`. Below we see how this is done. Notice that the arguments to the function can be multidimensional.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:04.419068Z", + "iopub.status.busy": "2024-07-11T15:30:04.418811Z", + "iopub.status.idle": "2024-07-11T15:30:04.428399Z", + "shell.execute_reply": "2024-07-11T15:30:04.427964Z" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "PermShkDstn = MeanOneLogNormal().discretize(200)\n", + "TranShkDstn = MeanOneLogNormal().discretize(200)\n", + "IncShkDstn = combine_indep_dstns(PermShkDstn, TranShkDstn)\n", + "aGrid = np.linspace(0, 20, 100) # aNrm grid\n", + "R = 1.05 # interest rate\n", + "\n", + "\n", + "def m_next(x, aGrid, R):\n", + " return R * aGrid / x[0] + x[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:04.429902Z", + "iopub.status.busy": "2024-07-11T15:30:04.429661Z", + "iopub.status.idle": "2024-07-11T15:30:06.613165Z", + "shell.execute_reply": "2024-07-11T15:30:06.612782Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "27.1 ms ± 2.38 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "ce8 = IncShkDstn.expected(m_next, aGrid, R)\n", + "ce9 = IncShkDstn.expected(m_next, aGrid.reshape((10, 10)), R)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:06.615612Z", + "iopub.status.busy": "2024-07-11T15:30:06.615025Z", + "iopub.status.idle": "2024-07-11T15:30:09.410284Z", + "shell.execute_reply": "2024-07-11T15:30:09.409700Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "346 ms ± 2.32 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "ce8 = calc_expectation(IncShkDstn, m_next, aGrid, R)\n", + "ce9 = calc_expectation(IncShkDstn, m_next, aGrid.reshape((10, 10)), R)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Time Comparison of the two methods\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As a final comparision of these two methods, we can see how the time difference is affected by the number of points in the distribution.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:09.412223Z", + "iopub.status.busy": "2024-07-11T15:30:09.412048Z", + "iopub.status.idle": "2024-07-11T15:30:27.240008Z", + "shell.execute_reply": "2024-07-11T15:30:27.237214Z" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "size = np.arange(1, 11) * 100\n", + "\n", + "t_self = []\n", + "t_dist = []\n", + "\n", + "for n in size:\n", + " PermShkDstn = MeanOneLogNormal().discretize(n)\n", + " TranShkDstn = MeanOneLogNormal().discretize(n)\n", + " IncShkDstn = combine_indep_dstns(PermShkDstn, TranShkDstn)\n", + "\n", + " a_grid = np.linspace(0, 20, 100).reshape((10, 10))\n", + " R = 1.05\n", + "\n", + " start_self = time()\n", + " ce_self = IncShkDstn.expected(m_next, a_grid, R)\n", + " time_self = time() - start_self\n", + "\n", + " start_dist = time()\n", + " ce_dist = calc_expectation(IncShkDstn, m_next, a_grid, R)\n", + " time_dist = time() - start_dist\n", + "\n", + " t_self.append(time_self)\n", + " t_dist.append(time_dist)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:27.243810Z", + "iopub.status.busy": "2024-07-11T15:30:27.243635Z", + "iopub.status.idle": "2024-07-11T15:30:27.636999Z", + "shell.execute_reply": "2024-07-11T15:30:27.636445Z" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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Ro0eWx+fn87d9+3YYGxtj5MiReuPHjRsHIQR27NihN75du3bw9vbWDfv4+ECtVr90u23fvh3Ozs7o27evbpypqSlGjhyJhIQEHDp0KM+1Z7QB27Jly0sbow8aNEivvU3Ges6oO7fv37x+9sLCwtCyZUt4enpi7969sLOz003L+M3ZtWsXkpKScvuyc1QY6xl4+fo7e/Ysbt68idGjR2dpm5exXiIjIxEaGoqBAwfC3t5eN93Hxwft27fXfQ9mNmTIEN19Y2Nj1K9fH0IIDB48WDfe1tY2y+ckL9/h+VGiGm4XhBff7BlvXnd3d4Pjnzx5AgC4evUqAOhW/IvUanW+6rl9+zYAoFq1anrjlUolKlWqpJtuyMOHDxEXF4fatWvn+BwZZ/0sWrQIN2/ehEaj0U0rV65cto/LeCO+bPmvIr+1ZcjYLgMGDMh2ntjYWL0vrBcff+nSJZQvX97g9IwGwRlmzZqFLVu2IDQ0FKtXr4ajo6PBx1WpUkVv2MrKCi4uLrouIHL7fiqIbfD3339jypQpCAkJyfIFHRsbq/dPQ25k954FgOrVq+Po0aN648zMzLKsXzs7O91nK6/Pk5vPRk6io6MxdepUrFmzJsv2zU9ozI8Xv4eArOvk+vXreOONNwrsOW/fvg1XV1dYW1vrja9Ro4Zuel5rzO55qlSpohdsc3qe3Ojduzd+/PFHDBkyBBMmTEDbtm3x+uuv480338zyPC/WnfHZz6g7t+/fvH72goKC4OTkhF27dsHKykpvmpeXF8aOHYs5c+Zg1apVaN68Obp27Yq33347z5+/DIWxnoGXr7/r168DyHm95LSOa9SogV27diExMRGWlpbZPq+NjQ3MzMzg4OCQZfzjx491w3n9Ds+rMheSjI2N8zReCAEAuv9eVq5cCWdn5yzzZd4LVdx8/fXX+Oyzz/Duu+/iyy+/hL29PYyMjDB69OgCOUU4u/9qMweewqotY56ZM2dm2zXAi19YLz6+Tp06mDNnjsHpL4bns2fP6j5058+f1/svLi+K6v10/fp1tG3bFtWrV8ecOXPg7u4OpVKJ7du3Y+7cuUVyinh2ny259OrVC8eOHcP48ePh6+sLKysraLVadOzYMd/rI6+fgZd93xQHxalGc3NzHD58GAcOHMC2bduwc+dOrF27Fm3atMHu3bv1apWr7jfeeAO//PILVq1ahf/9739Zps+ePRsDBw7Eli1bsHv3bowcORLBwcE4fvw4KlSoUKi15YVc68/Q8+amlrx+h+dV8f1lL2Yydjs7OjqiXbt2eX58dl+iFStWBACEh4ejUqVKuvGpqam4efNmjs9Vvnx5qNVqhIWF5fjc69evR+vWrfHTTz/pjY+JicmS0jPLqOdly7ezszPYiWFu/pPJbW3Zrb+M7aJWq/O1Xby9vXHu3Dm0bdv2pYcwEhMTMWjQINSsWRNNmjTBjBkz0KNHDzRo0CDLvFevXkXr1q11wwkJCYiMjETnzp316n7Z+ym32yC72v/66y+kpKTgzz//1PtPzdAu6Nwewsn8nn1xT1h4eLhu+qt6lc9Gdp48eYJ9+/Zh6tSp+Pzzz3XjM/bs5VfGf9sxMTF6hyDy+988IL1H8rvdDalYsSL27t2L+Ph4vb1Jly9f1k0vCBUrVsS///4LrVart5fjVZ/HyMgIbdu2Rdu2bTFnzhx8/fXX+PTTT3HgwIE8vRdy+/7N7Wcvw8yZM2FiYoIPPvgA1tbWeOutt7LMU6dOHdSpUweTJ0/GsWPH0LRpUyxZsgTTp0/Pdrk5/XYUxnp+mYzvrrCwsGzXe+Z1/KLLly/DwcFBby/Sq9aT2+/w/ChzbZLyKzAwEGq1Gl9//TXS0tKyTH/48GGOj894Q7wYJtq1awelUonvvvtOLx3/9NNPiI2NRZcuXbJdppGREbp3746//voLp06dyjI9Y3nGxsZZ/gtYt26drr1VdsqXL48WLVrg559/RkREhMFlA9KbNDY2Fv/++69uXGRkJDZt2pTj8vNSW3brz9/fH97e3pg1axYSEhKyLP9l26VXr164e/cufvjhhyzTnj59isTERN3wJ598goiICPzyyy+YM2cOPD09MWDAAKSkpGR57LJly/TeJ4sXL0Z6ejo6deoEIPfvp9xug+zWT8Z/YpnnjY2NxfLly7M8p6WlZa567K5fvz4cHR2xZMkSvde+Y8cOXLp0Kcf3bF68ymcjO4bWB4BX7tE444fj8OHDunGJiYn45Zdf8r3MN954A+fOnTP4OcqoP7vtbkjnzp2h0WiwcOFCvfFz586FQqHQvTdfVefOnREVFYW1a9fqxqWnp2PBggWwsrJCy5Yt87zM6OjoLOMy9hwb+vzlJLfv39x+9jIoFAosW7YMb775JgYMGIA///xTNy0uLg7p6el689epUwdGRkYvrd/S0tLgYeDCWM+5Ua9ePXh5eWHevHlZ3ncZ68XFxQW+vr745Zdf9OYJCwvD7t27df8sFoS8fIdHREToQmRucU9SLqnVaixevBjvvPMO6tWrhz59+qB8+fKIiIjAtm3b0LRp0yxfPpn5+vrC2NgY3377LWJjY6FSqdCmTRs4Ojpi4sSJmDp1Kjp27IiuXbsiPDwcixYtQoMGDV7aUebXX3+N3bt3o2XLlhg6dChq1KiByMhIrFu3DkePHoWtrS1ee+01TJs2DYMGDUKTJk1w/vx5rFq1Su+/8+x89913aNasGerVq4ehQ4fCy8sLt27dwrZt23SXQujTpw8++eQT9OjRAyNHjkRSUhIWL16MqlWrvrQhbG5r8/b2hq2tLZYsWQJra2tYWlqiUaNG8PLywo8//ohOnTqhVq1aGDRoENzc3HD37l0cOHAAarUaf/31V7bP/8477+CPP/7A+++/jwMHDqBp06bQaDS4fPky/vjjD+zatQv169fH/v37sWjRIkyZMgX16tUDACxfvhytWrXCZ599hhkzZugtNzU1FW3btkWvXr1027NZs2bo2rUrgLy9n3KzDfz9/QEAn376Kfr06QNTU1MEBQWhQ4cOUCqVCAoKwv/+9z8kJCTghx9+gKOjIyIjI/Vq9vf3x+LFizF9+nRUrlwZjo6OBttMmZqa4ttvv8WgQYPQsmVL9O3bF/fv38f8+fPh6emJMWPG5LjNc6t8+fKv9NkwRK1Wo0WLFpgxYwbS0tLg5uaG3bt34+bNm69Ua4cOHeDh4YHBgwdj/PjxMDY2xs8//6zbpvkxfvx4rF+/Hj179sS7774Lf39/REdH488//8SSJUtQt27dHD8XLwoKCkLr1q3x6aef4tatW6hbty52796NLVu2YPTo0XqNtF/F0KFDsXTpUgwcOBCnT5+Gp6cn1q9fj7///hvz5s3L0iYqN6ZNm4bDhw+jS5cuqFixIh48eIBFixahQoUKaNasWZ6WlZf3b24+e5kZGRnht99+Q/fu3dGrVy9s374dbdq0wf79+zFixAj07NkTVatWRXp6OlauXAljY+OXtjvz9/fH2rVrMXbsWDRo0ABWVlYICgoqlPWcG0ZGRli8eDGCgoLg6+uLQYMGwcXFBZcvX8aFCxewa9cuANKetU6dOiEgIACDBw/G06dPsWDBAtjY2OCLL74osHpy+x0OAP3798ehQ4fydujwlc6Nk1l+O5PMLOO0xxdPzcw4dffFU+sPHDggAgMDhY2NjTAzMxPe3t5i4MCB4tSpUy+t94cffhCVKlUSxsbGWboDWLhwoahevbowNTUVTk5OYtiwYbnuTPL27duif//+onz58kKlUolKlSqJ4cOH607jTE5OFuPGjRMuLi7C3NxcNG3aVISEhGQ5BTS7ziTDwsJEjx49hK2trTAzMxPVqlUTn332md48u3fvFrVr1xZKpVJUq1ZN/Pbbb7nuAiA3tQkhxJYtW0TNmjWFiYlJljrPnj0rXn/9dVGuXDmhUqlExYoVRa9evcS+ffteuv5SU1PFt99+K2rVqiVUKpWws7MT/v7+YurUqSI2NlbExcWJihUrinr16ul1EyGEEGPGjBFGRkYiJCRECJG1M0k7OzthZWUl+vXrZ7Bz0ty+n3KzDb788kvh5uYmjIyM9E47//PPP4WPj48wMzMTnp6e4ttvvxU///xzllPTo6KiRJcuXYS1tbUAXt6Z5Nq1a4Wfn59QqVTC3t4+x84kX5TdKfOG5OazkZcuAP777z/durSxsRE9e/YU9+7dE3hJJ5QZYKALACGEOH36tGjUqJFQKpXCw8NDzJkzJ8fOJF9k6D3/+PFjMWLECOHm5qbrJG/AgAF6fRVl97kw1DVHfHy8GDNmjHB1dRWmpqaiSpUqOXYm+aIXP7/ZuX//vhg0aJBwcHAQSqVS1KlTx2A3BbntAmDfvn2iW7duwtXVVSiVSuHq6ir69u0rrly5opsnu+/y7L7XcvP+FeLlnz1D772kpCTRsmVLYWVlJY4fPy5u3Lgh3n33XeHt7S3MzMyEvb29aN26tdi7d+9LX3tCQoJ46623hK2trYCBziRzs54Nya4LgNyuv6NHj4r27dsLa2trYWlpKXx8fLJ0D7F3717RtGlTYW5uLtRqtQgKCsq2M8kXP7vZfXe0bNlS1KpVS2/cy77DMz82r7FHIUQxailIVMKtWLECgwYNwsmTJw12y0BERCUH2yQRERERGcCQRERERGQAQxIRERGRAWyTRERERGQA9yQRERERGcCQRERERGRAmetMUqvV4t69e7C2ti6ULsyJiIio4AkhEB8fD1dX1ywX9i0sZS4k3bt375UveEdERETyuHPnTpFdFLjMhaSMrtrv3LkDtVotczVERESUG3FxcXB3dy+0S64YUuZCUsYhNrVazZBERERUwhRlUxk23CYiIiIygCGJiIiIyIAyd7gttzQaDdLS0uQug16BUqkssjMgiIio9GFIeoEQAlFRUYiJiZG7FHpFRkZG8PLyglKplLsUIiIqgRiSXpARkBwdHWFhYcG+lEqojP6wIiMj4eHhwe1IRER5xpCUiUaj0QWkcuXKyV0OvaLy5cvj3r17SE9Ph6mpqdzlEBFRCcMGG5lktEGysLCQuRIqCBmH2TQajcyVEBFRScSQZAAPzZQO3I5ERPQqGJKIiIiIDGBIIiIiIjKAIakUa9WqFUaPHg0A8PT0xLx582StJzufffYZhg4dqhsWQmDo0KGwt7eHQqFAaGgo+vTpg9mzZ8tYJRERlTU8u62MOHnyJCwtLXM1r6enJ0aPHq0LWIUpKioK8+fPx/nz53Xjdu7ciRUrVuDgwYOoVKkSHBwcMHnyZLRo0QJDhgyBjY1NoddFRET5lJ4KmJSO/um4J6mMKF++fLE8a+/HH39EkyZNULFiRd2469evw8XFBU2aNIGzszNMTExQu3ZteHt747fffpOxWiIiylHiI2BxE+D0CrkrKRDFJiR98803UCgUL917sW7dOlSvXh1mZmaoU6cOtm/fXqh1CSGQlJouy00Ikes6ExMT0b9/f1hZWcHFxSXLoanMh9uEEPjiiy/g4eEBlUoFV1dXjBw5EoB0iO727dsYM2YMFApFjmeIxcTEYMiQIShfvjzUajXatGmDc+fOAQCuXLkChUKBy5cv6z1m7ty58Pb21g2vWbMGQUFBuuGBAwfiww8/REREBBQKBTw9PXXTgoKCsGbNmlyvEyIiKkJpT4Hf+wCPrwJHZgOpiXJX9MqKxeG2kydPYunSpfDx8clxvmPHjqFv374IDg7Ga6+9htWrV6N79+44c+YMateuXSi1PU3ToObnuwpl2S9zcVogLJS520Tjx4/HoUOHsGXLFjg6OmLSpEk4c+YMfH19s8y7YcMGzJ07F2vWrEGtWrUQFRWlCzcbN25E3bp1MXToULz33ns5PmfPnj1hbm6OHTt2wMbGBkuXLkXbtm1x5coVVK1aFfXr18eqVavw5Zdf6h6zatUqvPXWWwCA6OhoXLx4EfXr19dNnz9/Pry9vbFs2TKcPHkSxsbGumkNGzbEV199hZSUFKhUqlytFyIiKgJaDbBhCPDfScDMFui3HlDmrolHcSb7nqSEhAT069cPP/zwA+zs7HKcd/78+ejYsSPGjx+PGjVq4Msvv0S9evWwcOHCIqq2eEpISMBPP/2EWbNmoW3btqhTpw5++eUXpKenG5w/IiICzs7OaNeuHTw8PNCwYUNdILK3t4exsTGsra3h7OwMZ2dng8s4evQo/vnnH6xbtw7169dHlSpVMGvWLNja2mL9+vUAgH79+uH333/XPebKlSs4ffo0+vXrp6tDCAFXV1fdPDY2NrC2toaxsTGcnZ1Rvnx53TRXV1ekpqYiKirq1VYYEREVrN2TgctbAWMl0Gc1UL6a3BUVCNn3JA0fPhxdunRBu3btMH369BznDQkJwdixY/XGBQYGYvPmzdk+JiUlBSkpKbrhuLi4PNVnbmqMi9MC8/SYgmJuavzymSC14UlNTUWjRo104+zt7VGtmuE3ac+ePTFv3jxUqlQJHTt2ROfOnREUFAQTk9y/Hc6dO4eEhIQsl295+vQprl+/DgDo06cPPvroIxw/fhyNGzfGqlWrUK9ePVSvXl03LwCYmZnl6jnNzc0BAElJSbmuk4iIClnIIuD4Iul+98WAZ1N56ylAsoakNWvW4MyZMzh58mSu5o+KioKTk5PeOCcnpxz3LAQHB2Pq1Kn5rlGhUOT6kFdJ4e7ujvDwcOzduxd79uzBBx98gJkzZ+LQoUO5vsZZQkICXFxccPDgwSzTbG1tAQDOzs5o06YNVq9ejcaNG2P16tUYNmyYbj4HBwcAwJMnT/T2GGUnOjoaAHI1LxERFYGLfwK7Jkn3200F6rwpbz0FTLbDbXfu3MGoUaOwatWqXO9JyI+JEyciNjZWd7tz506hPZdcvL29YWpqihMnTujGPXnyBFeuXMn2Mebm5ggKCsJ3332HgwcPIiQkRHcavlKpfOn1zurVq4eoqCiYmJigcuXKereM8ANIh9zWrl2LkJAQ3LhxA3369NGrW61W4+LFi7l6nWFhYahQoYLe8omISCZ3TgIb3wMggPrvAk1HyV1RgZMtJJ0+fRoPHjxAvXr1YGJiAhMTExw6dAjfffcdTExMDP5IOzs74/79+3rj7t+/n227GQBQqVRQq9V6t9LGysoKgwcPxvjx47F//36EhYVh4MCBMDIyvHlXrFiBn376CWFhYbhx4wZ+++03mJub607D9/T0xOHDh3H37l08evQIAHD37l1Ur14d//zzDwCgXbt2CAgIQPfu3bF7927cunULx44dw6effopTp07pnuv1119HfHw8hg0bhtatW+u1PzIyMkK7du1w9OjRXL3OI0eOoEOHDvlaR0REVIAeXwd+7w2kJwNVAoFOM4FSeL1M2UJS27Ztcf78eYSGhupu9evXR79+/RAaGqp3VlOGgIAA7Nu3T2/cnj17EBAQUFRlF1szZ85E8+bNERQUhHbt2qFZs2bw9/c3OK+trS1++OEHNG3aFD4+Pti7dy/++usvXfuiadOm4datW/D29tYd2kpLS0N4eLiuPZBCocD27dvRokULDBo0CFWrVkWfPn1w+/ZtvUOi1tbWCAoKwrlz53QNtjMbMmQI1qxZA61Wm+PrS05OxubNm196xh0RERWyxMfAqjeBpMeAiy/w5s+AcelqlpJBIfLSGU8ha9WqFXx9fXX9+fTv3x9ubm4IDg4GIHUB0LJlS3zzzTfo0qUL1qxZg6+//jpPXQDExcXBxsYGsbGxWfYqJScn4+bNm/Dy8irUQ4D0nBACjRo1wpgxY9C3b99s51u8eDE2bdqE3bt353rZ3J5ERAUs7SnwS1fgv38AGw9gyF7A2unljysAOf1+FxbZuwDISUREBCIjI3XDTZo0werVq7Fs2TLUrVsX69evx+bNmwutjyQqfAqFAsuWLcu2u4IMpqamWLBgQRFVRUREWWi1wMahUkAyswHeXl9kAUkuxWpPUlHgnqSyg9uTiKgA7foUCFko9YX0zibAs1mRPj33JBEREVHxc3yJFJAAoNuiIg9IcmFIIiIiouxd2grsnCDdbzsF8Okpbz1FiCGJiIiIDPvvlHRNNgjAfxDQbIzcFRUphiQiIiLKKvoGsLo3kP4UqNIB6DyrVPaFlBOGJCIiItKX+Bj47U0g6RHgUhd4c3mp7QspJwxJRERE9FxaMrDmLSD6OmDjDrz1B6CykrsqWTAkERERkUSrBTb9D7hzHFDZAP3WA9bZX/qrtGNIIp3U1FRUrlwZx44dy3aeW7duQaFQIDQ0FABw8OBBKBQKxMTEFGptUVFRaN++PSwtLWFra4vU1FR4enrqXSeOiIhe0d7PgYubASNToM8qwLG63BXJiiGJdJYsWQIvLy80adIk149p0qQJIiMjYWNj89J5XyVQzZ07F5GRkQgNDcWVK1egVCrx0Ucf4ZNPPsnzsoiIyIATy4Bjz65s0H0x4NVc3nqKAYYkAiBdQ23hwoUYPHhwnh6nVCrh7OwMRSGf8XD9+nX4+/ujSpUqcHR0BAD069cPR48exYULFwr1uYmISr3L24Cdz/7pbPNZmeoLKScMSS8jBJCaKM8tD1eM0Wq1mDFjBipXrgyVSgUPDw989dVXuul37txBr169YGtrC3t7e3Tr1g23bt3STT99+jSuX7+OLl266C33n3/+gZ+fH8zMzFC/fn2cPXtWb/qLe4du376NoKAg2NnZwdLSErVq1cL27dtx69YttG7dGgBgZ2cHhUKBgQMH5uq1eXp6YsOGDfj111/1HmdnZ4emTZtizZo1uV5PRET0gv9OA+sHA0IL1BsANB8nd0XFRtk7ny+v0pKAr13lee5J9wClZa5mnThxIn744QfMnTsXzZo1Q2RkJC5fvgwASEtLQ2BgIAICAnDkyBGYmJhg+vTp6NixI/79918olUocOXIEVatWhbW1tW6ZCQkJeO2119C+fXv89ttvuHnzJkaNGpVjHcOHD0dqaioOHz4MS0tLXLx4EVZWVnB3d8eGDRvwxhtvIDw8HGq1Gubm5rl6bSdPnkT//v2hVqsxf/58vcc1bNgQR44cydVyiIjoBdE3gd+f9YVUuR3QZU6Z6wspJwxJpUB8fDzmz5+PhQsXYsCAAQAAb29vNGsmXVtn7dq10Gq1+PHHH3WHxZYvXw5bW1scPHgQHTp0wO3bt+Hqqh8GV69eDa1Wi59++glmZmaoVasW/vvvPwwbNizbWiIiIvDGG2+gTp06AIBKlSrpptnb2wMAHB0dYWtrm+vXV758eahUKpibm8PZWf8sC1dXV9y+fTvXyyIiomeSooFVPYHEh4CzD9BzRZnsCyknXBsvY2oh7dGR67lz4dKlS0hJSUHbtm0NTj937hyuXbumt5cIAJKTk3H9+nUAwNOnT2FmZpZluT4+PnrjAwICcqxl5MiRGDZsGHbv3o127drhjTfegI+PT65eR36Ym5sjKSmp0JZPRFQqZfSF9Phqpr6QrF/+uDKGIellFIpcH/KSy8sOWyUkJMDf3x+rVq3KMq18+fIAAAcHB5w/f/6VaxkyZAgCAwOxbds27N69G8HBwZg9ezY+/PDDV162IdHR0brXQEREuaDVApvfByJCnvWFtA5Qu8hdVbHEhtulQJUqVWBubo59+/YZnF6vXj1cvXoVjo6OqFy5st4t49R9Pz8/XL58GSJTY/EaNWrg33//RXJysm7c8ePHX1qPu7s73n//fWzcuBHjxo3DDz/8AEA6Ew4ANBpNvl/ri8LCwuDn51dgyyMiKvX2fQFc2CT1hdR7JeBYQ+6Kii2GpFLAzMwMn3zyCT7++GP8+uuvuH79Oo4fP46ffvoJgHSqvIODA7p164YjR47g5s2bOHjwIEaOHIn//vsPANC6dWskJCTonU7/1ltvQaFQ4L333sPFixexfft2zJo1K8daRo8ejV27duHmzZs4c+YMDhw4gBo1pA9gxYoVoVAosHXrVjx8+BAJCQmv/NqPHDmCDh06vPJyiIjKhH9+AP6eL93v9j1QqaW89RRzDEmlxGeffYZx48bh888/R40aNdC7d288ePAAAGBhYYHDhw/Dw8MDr7/+OmrUqIHBgwcjOTkZarUaAFCuXDn06NFD75CclZUV/vrrL5w/fx5+fn749NNP8e233+ZYh0ajwfDhw1GjRg107NgRVatWxaJFiwAAbm5umDp1KiZMmAAnJyeMGDECALBixYp89bMUEhKC2NhYvPnmm3l+LBFRmRO+A9jxsXS/zWSgbm956ykBFELkoTOeUiAuLg42NjaIjY3VBYQMycnJuHnzJry8vLI0Yi4L/v33X7Rv3x7Xr1+HlVXRXcxwypQpOHToEA4ePJinx/Xu3Rt169bFpEmTDE4v69uTiEjn7hlgRRepW5t6/YGg70rcqf45/X4XFu5JIh0fHx98++23uHnzZpE+744dOzBjxow8PSY1NRV16tTBmDFjCqkqIqJS4sktYHUvKSB5t2VfSHnAs9tIT257wS5I//zzT54fo1QqMXny5EKohoioFNHrC6kO0OsXwNhU7qpKDO5JIiIiKo3SU4C1bwOPrgDqCsBb69gXUh4xJBEREZU2Wi2weRhw+29ApWZfSPnEkGRAGWvLXmpxOxJRmbV/GhC24VlfSL8BTjXlrqhEYkjKxNRUOk7Ly1yUDqmpqQAAY2NjmSshIipCJ38Cjs6V7nddwL6QXgEbbmdibGwMW1tbvf6F8tN/D8lPq9Xi4cOHsLCwgIkJ3+ZEVEaE7wS2fyTdb/0p4NtX3npKOP56vCDjKvMZQYlKLiMjI3h4eDDoElHZcO8ssH4QILSA39tAi/FyV1TiMSS9QKFQwMXFBY6OjkhLS5O7HHoFSqUSRkY8okxEZcCT28Dq3s/6QmoDvDaPfSEVAIakbBgbG7MtCxERFX9Pn0h9ISXcB5xqAz3ZF1JB4b/ZREREJVV6CrDmbeBROKB2k071NyuaS3aUBQxJREREJZFWC2z+ALh9NFNfSK5yV1WqyBqSFi9eDB8fH6jVaqjVagQEBGDHjh3Zzp9xtfjMN164lIiIyqT9XwJh6wEjE6DXr4BTLbkrKnVkbZNUoUIFfPPNN6hSpQqEEPjll1/QrVs3nD17FrVqGd7YarUa4eHhumGeuURERGXOqeXA0TnS/a4LAO/W8tZTSskakoKCgvSGv/rqKyxevBjHjx/PNiQpFArdafq5kZKSgpSUFN1wXFxc/oolIiIqDq7sBraNk+63mgj4viVvPaVYsWmTpNFosGbNGiQmJiIgICDb+RISElCxYkW4u7ujW7duuHDhQo7LDQ4Oho2Nje7m7u5e0KUTEREVjXuhwLqBgNAAvv2Alp/IXVGpphAyX+Dq/PnzCAgIQHJyMqysrLB69Wp07tzZ4LwhISG4evUqfHx8EBsbi1mzZuHw4cO4cOECKlSoYPAxhvYkubu7IzY2Fmo1zwAgIqISIiYC+LGddKp/pdZSQ+0ydKp/XFwcbGxsivT3W/aQlJqaioiICMTGxmL9+vX48ccfcejQIdSs+fKL8aWlpaFGjRro27cvvvzyy1w9nxwrmYiI6JU8jQF+DgQeXpb6Qhq0o8yd6i/H77fsnUkqlUpUrlwZAODv74+TJ09i/vz5WLp06Usfa2pqCj8/P1y7dq2wyyQiIpJHegqw9m0pIFm7Am/9UeYCklyKTZukDFqtVu/wWE40Gg3Onz8PFxeXQq6KiIhIBkIAW0YAt44ASmvpEJuNm9xVlRmy7kmaOHEiOnXqBA8PD8THx2P16tU4ePAgdu3aBQDo378/3NzcEBwcDACYNm0aGjdujMqVKyMmJgYzZ87E7du3MWTIEDlfBhERUeHYPx04/8ezvpB+AZxry11RmSJrSHrw4AH69++PyMhI2NjYwMfHB7t27UL79u0BABEREXoXKH3y5Anee+89REVFwc7ODv7+/jh27Fiu2i8RERGVKKd/AY7Mku4HzQcqt5W3njJI9obbRY0Nt4mIqNi7uhdY3Us61b/lBKD1RLkrkp0cv9/Frk0SERFRmRZ5Dlg3QApIdd8CWk2Qu6IyiyGJiIiouIi5A6zqBaQmAF4tpcNsvPyWbBiSiIiIioOnMcCqnkBCFOBYE+i9EjBRyl1VmcaQREREJLf0FOCPd4CHlwBrF+lUfzMbuasq8xiSiIiI5JT4GFjZA7h5OFNfSIYvtUVFS/Yet4mIiMqsB5eB33sDT24BKjXQ+zfAuY7cVdEzDElERERyuLoXWD8ISIkD7DyBvmsBx+pyV0WZMCQREREVJSGAf5YBOycAQgt4NJH2IFmWk7syegFDEhERUVHRpAE7PgZO/SwN+74NvDaXZ7EVUwxJREREReHpE+CPAcDNQwAUQIcvgYAR7AepGGNIIiIiKmyPrkkNtB9fA5RWwBs/AtU6yV0VvQRDEhERUWG6cRD4oz+QHAvYuAN91wDOteWuinKBIYmIiKiwnPoZ2PaRdB22Cg2BPqsAK0e5q6JcYkgiIiIqaJp0YPenwIkl0rBPbyDoO8DUTN66KE8YkoiIiApSciyw/l3g2l5puM1nQPNxbKBdAjEkERERFZToG8DqPsCjcMDUAuixFKjZVe6qKJ8YkoiIiArCrb+BtW8DT6MBa1eg7++Aq6/cVdErYEgiIiJ6VWd/A/4aDWjTAFc/oM/vgNpF7qroFTEkERER5ZdWA+ydAhxbIA3X6gF0WwQoLeStiwoEQxIREVF+pMQDG94DruyQhltOAFpNYAPtUoQhiYiIKK9iIqQG2g8uACZmQLfvgTpvyl0VFTCGJCIioryIOAGs7QckPgSsnKT2RxX85a6KCgFDEhERUW6dWwv8OQLQpALOdaRLjNhUkLsqKiQMSURERC+j1QIHpgNHZkvD1V8DXl8GKC3lrYsKFUMSERFRTlITgU3/Ay79JQ03Hwe0ngwYGclbFxU6hiQiIqLsxN4F1vQFIs8Bxkqg6wKgbh+5q6IiwpBERERkyN3TwO9vAQlRgIUD0GcV4NFY7qqoCDEkERERvShsI7B5GJCeDDjWlBpo21WUuyoqYgxJREREGYQADn0LHAyWhqt2BN74EVBZy1sXyYIhiYiICADSngJbhgNhG6ThgBFA+2mAkbG8dZFsZG2av3jxYvj4+ECtVkOtViMgIAA7duzI8THr1q1D9erVYWZmhjp16mD79u1FVC0REZVa8VHA8s5SQDIykRpoB37FgFTGyRqSKlSogG+++QanT5/GqVOn0KZNG3Tr1g0XLlwwOP+xY8fQt29fDB48GGfPnkX37t3RvXt3hIWFFXHlRERUakSeA35oA9w7A5jbAf23APX6y10VFQMKIYSQu4jM7O3tMXPmTAwePDjLtN69eyMxMRFbt27VjWvcuDF8fX2xZMmSXC0/Li4ONjY2iI2NhVqtLrC6iYioBLr0F7BxKJCWBDhUBd5aC9hXkrsqMkCO3+9i0xOWRqPBmjVrkJiYiICAAIPzhISEoF27dnrjAgMDERISku1yU1JSEBcXp3cjIqIyTgjgyBxg7dtSQPJuAwzew4BEemRvuH3+/HkEBAQgOTkZVlZW2LRpE2rWrGlw3qioKDg5OemNc3JyQlRUVLbLDw4OxtSpUwu0ZiIiKsHSU4A/RwL/rpGGG/4PCPwaMJb9J5GKGdn3JFWrVg2hoaE4ceIEhg0bhgEDBuDixYsFtvyJEyciNjZWd7tz506BLZuIiEqYhIfAL0FSQFIYA11mA51nMCCRQbK/K5RKJSpXrgwA8Pf3x8mTJzF//nwsXbo0y7zOzs64f/++3rj79+/D2dk52+WrVCqoVKqCLZqIiEqe+xeA1X2A2AjAzAbo+Qvg3VruqqgYk31P0ou0Wi1SUlIMTgsICMC+ffv0xu3ZsyfbNkxEREQAgPCdwE8dpIBk7w0M2ceARC8l656kiRMnolOnTvDw8EB8fDxWr16NgwcPYteuXQCA/v37w83NDcHBUs+no0aNQsuWLTF79mx06dIFa9aswalTp7Bs2TI5XwYRERVXQgAh3wO7JwMQgGdzoNevgIW93JVRCSBrSHrw4AH69++PyMhI2NjYwMfHB7t27UL79u0BABERETAyer6zq0mTJli9ejUmT56MSZMmoUqVKti8eTNq164t10sgIqLiKj0V2DYWOLtSGvYfCHSeBRibyloWlRzFrp+kwsZ+koiIyoCkaGDtO8Dto4DCSDp7rdH7gEIhd2WUT3L8fsvecJuIiKhAPQwHVvcGntwElNZAz+VAlfZyV0UlEEMSERGVHtf2AusGASlxgG1FqQdtxxpyV0UlFEMSERGVfEIA/ywDdk4AhBbwaAL0/g2wLCd3ZVSCMSQREVHJpkkDdnwCnPpJGvbtB7w2FzBhH3n0ahiSiIio5EqOBf7oD9w4CEABtJ8KNBnJBtpUIBiSiIioZBIC2PyBFJBMLYE3fgSqd5a7KipFGJKIiKhkOvc7cHkrYGQKDPgLqOAvd0VUyhS7y5IQERG9VEwEsP1j6X7rSQxIVCgYkoiIqGTRaoFNw4DUeMC9MdB0lNwVUSnFkERERCXL8e+lnrRNLYEeiwEjY7krolKKIYmIiEqO+xeBfdOk+x2DAftK8tZDpRpDEhERlQzpKcDGoYAmFajaCajXX+6KqJRjSCIiopLhYDBw/zxgUQ7o+h37QqJCx5BERETF3+0Q4Og86X7Qd4CVo6zlUNnAkERERMVbSjyw6X8AhHTJkRqvyV0RlREMSUREVLztmgTE3AZsPICO38hdDZUhDElERFR8Xd4OnPkVgALosQQwU8tdEZUhDElERFQ8JTwE/hop3W/yIeDZVN56qMxhSCIiouJHCOCvUUDiQ8CxFtBmstwVURnEkERERMVP6CogfJt08drXlwImKrkrojKIIYmIiIqXJ7eAHROk+20mA851ZC2Hyi6GJCIiKj60mucXr/VoIrVFIpIJQxIRERUfIQuBiGOA0ooXryXZMSQREVHxEBUG7J8u3e/4DWDnKWs5RAxJREQkv8wXr63WBfB7W+6KiBiSiIioGNg/HXhwAbAsDwTN58VrqVhgSCIiInnd+hs4tkC6H/QdYFVe3nqInmFIIiIi+STHAZvfByAAv3eA6p3lrohIhyGJiIjks3MiEBMB2FYEOgbLXQ2RHoYkIiKSx6WtQOhvkC5euxRQWctdEZEehiQiIip6CQ+eX7y26SigYoC89RAZIGtICg4ORoMGDWBtbQ1HR0d0794d4eHhOT5mxYoVUCgUejczM7MiqpiIiF6ZEMCfI4Gkx4BTbaD1JLkrIjJI1pB06NAhDB8+HMePH8eePXuQlpaGDh06IDExMcfHqdVqREZG6m63b98uooqJiOiVnV0JXNkBGCuB15fx4rVUbJnI+eQ7d+7UG16xYgUcHR1x+vRptGjRItvHKRQKODs75+o5UlJSkJKSohuOi4vLX7FERPTqom9KjbUBoM1ngFMteeshykGxapMUGxsLALC3t89xvoSEBFSsWBHu7u7o1q0bLly4kO28wcHBsLGx0d3c3d0LtGYiIsolrQbY9D6QmgBUbAYEDJe7IqIcKYQQQu4iAECr1aJr166IiYnB0aNHs50vJCQEV69ehY+PD2JjYzFr1iwcPnwYFy5cQIUKFbLMb2hPkru7O2JjY6FWqwvltRARkQFH5gD7pgJKa+CDY4Cth9wVUQkSFxcHGxubIv39lvVwW2bDhw9HWFhYjgEJAAICAhAQ8PwsiCZNmqBGjRpYunQpvvzyyyzzq1QqqFQ83k1EJKvIf4EDX0v3O33LgEQlQrEISSNGjMDWrVtx+PBhg3uDcmJqago/Pz9cu3atkKojIqJXkpYsXbxWmwZUfw3wfUvuiohyRdY2SUIIjBgxAps2bcL+/fvh5eWV52VoNBqcP38eLi4uhVAhERG9sv1fAg8vAZaOvHgtlSiy7kkaPnw4Vq9ejS1btsDa2hpRUVEAABsbG5ibmwMA+vfvDzc3NwQHS93VT5s2DY0bN0blypURExODmTNn4vbt2xgyZIhsr4OIiLJx8wgQ8r10v+sCwNJB3nqI8kDWkLR48WIAQKtWrfTGL1++HAMHDgQAREREwMjo+Q6vJ0+e4L333kNUVBTs7Ozg7++PY8eOoWbNmkVVNhER5UZyLLB5GAAB1BsAVOsod0VEeVJszm4rKnK0jiciKpM2DQPOrQbsPIH3/wZUVnJXRCWYHL/fxaqfJCIiKiUu/ikFJIXRs4vXMiBRycOQREREBSv+PvDXKOl+09GAR2NZyyHKL4YkIiIqOEIAf34IPI0GnOsArSbKXRFRvjEkERFRwTm9Ari6CzBWAa//AJgo5a6IKN8YkoiIqGA8vg7s+lS63/ZzwLGGvPUQvSKGJCIienWadOnitWmJgGdzoPEHcldE9MoYkoiI6NX9PQ/47x9ApQa6LwaM+PNCJR/fxURE9GruhQIHpasioPNMwNZd1nKICkq+ety+efMmjhw5gtu3byMpKQnly5eHn58fAgICYGZmVtA1EhFRcZWWDGz6H6BNB2p0BXx6y10RUYHJU0hatWoV5s+fj1OnTsHJyQmurq4wNzdHdHQ0rl+/DjMzM/Tr1w+ffPIJKlasWFg1ExFRcbFvGvDwsnTx2tfm8eK1VKrkOiT5+flBqVRi4MCB2LBhA9zd9XenpqSkICQkBGvWrEH9+vWxaNEi9OzZs8ALJiKiYuLGIeD4s4vXdvsesCwnbz1EBSzX127btWsXAgMDc7XQx48f49atW/D393+l4goDr91GRFQAnsYAi5sCcf8B/oOAoHlyV0SlnBy/37nek5TbgAQA5cqVQ7ly/I+CiKjU2vGxFJDsKwEdpstdDVGhyNfZbWfOnMH58+d1w1u2bEH37t0xadIkpKamFlhxRERUDF3YDPy79tnFa5fx4rVUauUrJP3vf//DlStXAAA3btxAnz59YGFhgXXr1uHjjz8u0AKJiKgYiY8Cto6W7jcbC7g3kLUcosKUr5B05coV+Pr6AgDWrVuHFi1aYPXq1VixYgU2bNhQkPUREVFxIQSwZQTw9AngUhdo+YncFREVqnyFJCEEtFotAGDv3r3o3LkzAMDd3R2PHj0quOqIiKj4OPUzcG2PdPHaHst48Voq9fIVkurXr4/p06dj5cqVOHToELp06QJA6mTSycmpQAskIqJi4PF1YPdk6X77qYBjdXnrISoC+QpJ8+bNw5kzZzBixAh8+umnqFy5MgBg/fr1aNKkSYEWSEREMtOkAxuHAmlJgFdLoOH/5K6IqEjkup+k3EhOToaxsTFMTU0LapEFjv0kERHl0aEZwIGvAJUN8MExwKaC3BVRGVSs+0kSQkDxku7med02IqJS5t5Z4NC30v0usxiQqEzJ9eG2WrVqYc2aNS/tB+nq1asYNmwYvvnmm1cujoiIZJT2VDrMpk0HanYH6vBSU1S25HpP0oIFC/DJJ5/ggw8+QPv27VG/fn24urrCzMwMT548wcWLF3H06FFcuHABI0aMwLBhwwqzbiIiKmx7vwAeXQGsnIHX5vLitVTm5LlN0tGjR7F27VocOXIEt2/fxtOnT+Hg4AA/Pz8EBgaiX79+sLOzK6x6XxnbJBER5cL1A8DK7tL9fhuAKu1kLYeoWLdJytCsWTM0a9asMGohIqLi4OkTYPMH0v0GQxiQqMzKVxcARERUim0fD8TfA+y9gfbT5K6GSDYMSURE9FzYBuD8OkBhDLy+DFBayl0RkWwYkoiISBJ3D9g6Vrrf4iOgQn156yGSGUMSERE9u3jtcCA5BnD1A1qMl7siItkxJBEREXDyR+D6fsDETLp4rXHxvXICUVHJd0i6fv06Jk+ejL59++LBgwcAgB07duDChQu5XkZwcDAaNGgAa2trODo6onv37ggPD3/p49atW4fq1avDzMwMderUwfbt2/P7MoiI6NFVYPdn0v3204DyVeWth6iYyFdIOnToEOrUqYMTJ05g48aNSEhIAACcO3cOU6ZMydNyhg8fjuPHj2PPnj1IS0tDhw4dkJiYmO1jjh07hr59+2Lw4ME4e/Ysunfvju7duyMsLCw/L4WIqGzTpEm9aqc/BSq1Ahq8J3dFRMVGvi5wGxAQgJ49e2Ls2LGwtrbGuXPnUKlSJfzzzz94/fXX8d9//+WrmIcPH8LR0RGHDh1CixYtDM7Tu3dvJCYmYuvWrbpxjRs3hq+vL5YsWfLS52BnkkREmRz8BjgYDJjZAMNCABs3uSsiMkiO3+987Uk6f/48evTokWW8o6MjHj16lO9iYmNjAQD29vbZzhMSEoJ27fQ7NgsMDERISIjB+VNSUhAXF6d3IyIiAHdPA4dmSPe7zGFAInpBvkKSra0tIiMjs4w/e/Ys3Nzy9yHTarUYPXo0mjZtitq1a2c7X1RUFJycnPTGOTk5ISoqyuD8wcHBsLGx0d3c3d3zVR8RUamSmiQdZhMaoPYbQJ035a6IqNjJV0jq06cPPvnkE0RFRUGhUECr1eLvv//GRx99hP79++erkOHDhyMsLAxr1qzJ1+OzM3HiRMTGxupud+7cKdDlExGVOGlPgY3vAY+vAdYuQOdZcldEVCzl+dptAPD1119j+PDhcHd3h0ajQc2aNaHRaPDWW29h8uTJeV7eiBEjsHXrVhw+fBgVKlTIcV5nZ2fcv39fb9z9+/fh7OxscH6VSgWVSpXnmoiISqWkaGDNW0BECGCsBHosASyyb+JAVJblq+F2hoiICISFhSEhIQF+fn6oUqVKnh4vhMCHH36ITZs24eDBg7l6fO/evZGUlIS//vpLN65Jkybw8fFhw20iopzE3AF+ewN4FA6obIA+qwCv5nJXRZQrcvx+52tPUgYPDw94eHjk+/HDhw/H6tWrsWXLFlhbW+vaFdnY2MDc3BwA0L9/f7i5uSE4OBgAMGrUKLRs2RKzZ89Gly5dsGbNGpw6dQrLli17lZdCRFS63b8A/PamdOFaa1fg7fWAUy25qyIq1vIVkoQQWL9+PQ4cOIAHDx5Aq9XqTd+4cWOulrN48WIAQKtWrfTGL1++HAMHDgQg7a0yMnredKpJkyZYvXo1Jk+ejEmTJqFKlSrYvHlzjo29iYjKtJtHpENsKXFA+erA2xsAm5ybNhBRPg+3jRo1CkuXLkXr1q3h5OQEhUKhN3358uUFVmBB4+E2IipTLmySzmLTpAIeAUCf1WyDRCVSiTnctnLlSmzcuBGdO3cu6HqIiKigHF8C7JwAQAA1goDXfwRMzeSuiqjEyFdIsrGxQaVKlQq6FiIiKghaLbB3CnDsO2m4wRCg0wzAyFjeuohKmHz1k/TFF19g6tSpePr0aUHXQ0REryI9Fdj0v+cBqe3nUj9IDEhEeZavPUm9evXC77//DkdHR3h6esLU1FRv+pkzZwqkOCIiyoOUeGDt28CNg4DCGOi2EPB9S+6qiEqsfIWkAQMG4PTp03j77bcNNtwmIqIiFn8fWPUmEPUvYGoJ9PoVqNLu5Y8jomzlKyRt27YNu3btQrNmzQq6HiIiyqtH14DfegAxEYCFA9BvHeBWT+6qiEq8fIUkd3d3nj5PRFQc3DkJrO4FPI0G7LyAdzYC9jyxhqgg5Kvh9uzZs/Hxxx/j1q1bBVwOERHlWvhO4JcgKSC5+gGD9zAgERWgfO1Jevvtt5GUlARvb29YWFhkabgdHR1dIMUREVE2Tv8CbB0NCC1QuT3QcwWgspK7KqJSJV8had68eQVcBhER5YoQwKEZwMGvpWHffkDQfMDYNOfHEVGe5fvsNiIiKmKadGDbWODML9Jw84+ANpMBnmFMVChyHZLi4uJ0jbXj4uJynJeNuomIClhqErD+XeDKDgAKoPNMoOF7cldFVKrlOiTZ2dkhMjISjo6OsLW1Ndg3khACCoUCGo2mQIskIirTEh8Dv/cG/jsJGKuAN3+SrsVGRIUq1yFp//79sLeXrhx94MCBQiuIiIgyeXIb+O0N4PFVwMwW6LsGqBggd1VEZUKuQ1LLli119728vODu7p5lb5IQAnfu3Cm46oiIyrLIf6VetBPuA+oKwNsbAMfqcldFVGbkq58kLy8vPHz4MMv46OhoeHl5vXJRRERl3o2DwPLOUkByrAUM2cOARFTE8nV2W0bboxclJCTAzMzslYsiIirT/l0HbB4GaNMAz+ZA798Ac1u5qyIqc/IUksaOHQsAUCgU+Oyzz2BhYaGbptFocOLECfj6+hZogUREZcqxBcDuydL9Wj2AHksBE5W8NRGVUXkKSWfPngUg7Uk6f/48lEqlbppSqUTdunXx0UcfFWyFRERlgVYrhaPj30vDjT8AOnwFGOWrVQQRFYA8haSMs9oGDRqE+fPnsz8kIqKCkJ4CbHofuLBRGm7/JdDkQ3YSSSSzfLVJWr58eUHXQURUNiXHAmv6AbeOAEamQPdFgE8vuasiIuQzJBERUQGIuwf89ibw4AKgtJIaaHu3lrsqInqGIYmISA4Pw6VOImPvAFZOQL91gEtduasiokwYkoiIilrEcWB1byA5BihXWeok0s5T7qqI6AUMSURERenSVmDDYCA9GajQAOi7FrAsJ3dVRGQAQxIRUVE5+SOwfTwgtEDVjsCbywGlxcsfR0SyYEgiIipsQgD7pwNHZknD9foDXeYCxvwKJirO+AklIipMmjTgr9FA6G/ScKuJQMtP2AcSUQnAkEREVFhSE4E/BgDX9gAKI+C1uYD/QLmrIqJcYkgiIioMCQ+B1b2Ae2cAE3Og53KgWie5qyKiPGBIIiIqaNE3pD6Qom8A5vbAW38A7g3kroqI8kjWKycePnwYQUFBcHV1hUKhwObNm3Oc/+DBg1AoFFluUVFRRVMwEdHL3D0D/NRBCki2HsDg3QxIRCWUrCEpMTERdevWxffff5+nx4WHhyMyMlJ3c3R0LKQKiYjy4NpeYMVrQOJDwLkOMHgP4FBF7qqIKJ9kPdzWqVMndOqU92P0jo6OsLW1LfiCiIjyK/R34M8RgDYdqNQK6LUSMFPLXRURvQJZ9yTll6+vL1xcXNC+fXv8/fffOc6bkpKCuLg4vRsRUYERAjgyG9j8vhSQ6vQE3lrHgERUCpSokOTi4oIlS5Zgw4YN2LBhA9zd3dGqVSucOXMm28cEBwfDxsZGd3N3dy/CiomoVNNqpB60902Thpt8CPRYBpgo5a2LiAqEQggh5C4CABQKBTZt2oTu3bvn6XEtW7aEh4cHVq5caXB6SkoKUlJSdMNxcXFwd3dHbGws1Gr+p0dE+ZSWDGx8D7j0JwAFEPg1EPCB3FURlVpxcXGwsbEp0t/vEt8FQMOGDXH06NFsp6tUKqhUqiKsiIhKvadPgN/fAiKOAcZKoMdSoPbrcldFRAWsxIek0NBQuLi4yF0GEZUVMRHAql7Aw0uASg30WQV4tZC7KiIqBLKGpISEBFy7dk03fPPmTYSGhsLe3h4eHh6YOHEi7t69i19//RUAMG/ePHh5eaFWrVpITk7Gjz/+iP3792P37t1yvQQiKiu0WuDUT8DeqUBqPGDtAvRbDzjXlrsyIioksoakU6dOoXXr1rrhsWPHAgAGDBiAFStWIDIyEhEREbrpqampGDduHO7evQsLCwv4+Phg7969essgIipwDy4Df40E7pyQhis0AN78WeoskohKrWLTcLuoyNHwi4hKqPQU4Mgc6RR/bRqgtALaTgEaDAaMjOWujqhMYcNtIqLi4nYI8Nco4FG4NFy1E9BlFmBTQd66iKjIMCQREWWWHAvs/QI49bM0bOkIdJ4B1OwOKBRyVkZERYwhiYgow6W/pM4h4yOlYb93gA5fAuZ28tZFRLJgSCIiiosEdoyXQhIA2HsDQfMBr+by1kVEsmJIIqKyS6sFzqwA9nwBpMQCRiZAk5FAy48BU3O5qyMimTEkEVHZ9PCK1DA74pg07FoP6LqA/R4RkQ5DEhGVLempwN/zgMMzAU0qYGoJtP0MaDiUp/UTkR6GJCIqO+78A/w5UrqkCABUbg+8NoedQhKRQQxJRFT6pcQD+6YB//wAQAAWDkCnb4Hab/C0fiLKFkMSEZVu4TuAbeOAuLvSsG8/oMN0wMJe3rqIqNhjSCKi0in+PrDjY+DiZmnYzhN4bR7gzWs9ElHuMCQRUekiBHB2JbB7stR7tsIYaDICaDkBUFrIXR0RlSAMSURUejy+Lp3Wf+uINOziC3T9DnCpK2tZRFQyMSQRUcmnSQOOfQcc/BbQpACmFkDrSUCjYYAxv+aIKH/47UFEJdt/p4G/RgL3w6Rh7zbAa3OlNkhERK+AIYmISqaUBGD/dODEEgACMLcHOn4D+PTiaf1EVCAYkoio5LmyG9g2Foi9Iw379AYCvwYsHeSti4hKFYYkIio5Eh4COz8BwjZIw7Ye0qG1yu3krYuISiWGJCIq/oQAQlcDuz8Fnj4BFEZA4w+kxtlKS7mrI6JSiiGJiIq36BvAX6OBm4ekYec6QNB3gFs9WcsiotKPIYmIiidNOhCyEDgYDKQnAyZmQKuJQMBwwNhU7uqIqAxgSCKi4ufeWeDPD4Go89KwV0sgaB5gX0nWsoiobGFIIqLiIzUROPA1cHwRILSAma101prvWzytn4iKHEMSERUP1/YBW0cDMRHScO03pX6PrMrLWhYRlV0MSUQkr8THwK6JwL9rpWEbd6DLHKBqB3nrIqIyjyGJiOQhhBSMdk4EnkYDUACN3gfaTAZUVnJXR0TEkEREMnhyC9g6Bri+Xxp2rAV0XQBU8Je1LCKizBiSiKjoaNKBE4ulxtlpSYCxCmj1CdBkJE/rJ6JihyGJiIpG5L/Saf2RodKwZ3PgtXmAQ2U5qyIiyhZDEhEVrrRk4PAM4Og8QGgAMxugw3TA7x2e1k9ExRpDEhEVnjv/AFuGA4+uSMM1uwGdZgLWTvLWRUSUC0ZyPvnhw4cRFBQEV1dXKBQKbN68+aWPOXjwIOrVqweVSoXKlStjxYoVhV4nEeVRaqJ01tpPHaSAZOkI9FoJ9PqVAYmISgxZQ1JiYiLq1q2L77//Plfz37x5E126dEHr1q0RGhqK0aNHY8iQIdi1a1chV0pEuXbjELC4idRrNgRQ9y1g+AmgZle5KyMiyhNZD7d16tQJnTp1yvX8S5YsgZeXF2bPng0AqFGjBo4ePYq5c+ciMDDQ4GNSUlKQkpKiG46Li3u1oonIsORYYPdnwJlfpGF1BSBoPlClnbx1ERHlk6x7kvIqJCQE7drpf+EGBgYiJCQk28cEBwfDxsZGd3N3dy/sMonKnvCdwPeNnwekBkOA4ccZkIioRCtRISkqKgpOTvrtGZycnBAXF4enT58afMzEiRMRGxuru925c6coSiUqGxIfAxuGAL/3BuLvAfaVgIHbgS6zAZW13NUREb2SUn92m0qlgkqlkrsMotJFCODCJmD7eCDpEaAwAgJGAK0nAabmcldHRFQgSlRIcnZ2xv379/XG3b9/H2q1Gubm/GImKhLxUcC2ccDlrdKwY02g20LAjZcUIaLSpUSFpICAAGzfvl1v3J49exAQECBTRURliBBA6Cpg1ySpkbaRCdD8I6D5OMBEKXd1REQFTtaQlJCQgGvXrumGb968idDQUNjb28PDwwMTJ07E3bt38euvvwIA3n//fSxcuBAff/wx3n33Xezfvx9//PEHtm3bJtdLICobYiKAv0Y9vyCtqx/Q7XvAqZa8dRERFSJZQ9KpU6fQunVr3fDYsWMBAAMGDMCKFSsQGRmJiIgI3XQvLy9s27YNY8aMwfz581GhQgX8+OOP2Z7+T0SvSKsFTv4I7P0CSEsETMykdkeNhwPGJWpHNBFRnimEEELuIopSXFwcbGxsEBsbC7VaLXc5RMXXo2vAnyOAiGddbHg0Abou4AVpiUgWcvx+819BItKnSQdCFgIHvgY0KYDSCmj3BVB/MGBUonoNISJ6JQxJRPRcVJh0QdrIUGnYu43Ua7ath6xlERHJgSGJiID0VODILODIbECbDpjZAIHBgO9bgEIhd3VERLJgSCIq6/47Le09enhJGq7+mtRjtrWzvHUREcmMIYmorEpNAg58BRxfBAgtYOEAdJkF1OzOvUdERGBIIiqbbh0F/vwQiL4hDfv0lg6vWZaTty4iomKEIYmoLEmOk/o8OvWTNGztCgTNA6qyrzEiohcxJBGVFVf3Sr1mx/0nDfsPBNpPkxppExFRFgxJRKVdUrR0vbVzv0vDdp5Sp5BeLWQti4iouGNIIirNLm4Btn0EJD4AoAAafwC0+RRQWspdGRFRsceQRFQaJTwAtn8khSQAcKgGdFsIuDeUty4iohKEIYmoNBEC+HctsHMC8PQJYGQCNBsDtBgPmKjkro6IqERhSCIqLWL/A/4aDVzbIw07+wDdvgdcfGQti4iopGJIIirptFrg9HJgzxQgNR4wVgGtPgGajASMTeWujoioxGJIIirJHl8H/hwJ3D4qDbs3ArouBMpXlbcuIqJSgCGJqCTSaqTLiez/Ckh/CphaAG2nAA3fA4yM5a6OiKhUYEgiKmkeXAK2jADunpKGvVoCQfMBey956yIiKmUYkohKivRU4O95wKEZgDYNUKmBDtOBev15QVoiokLAkERUEtw7K+09uh8mDVftBLw2B1C7ylsXEVEpxpBEVJzF35f2Hp1YCggNYFEO6DQDqP0G9x4RERUyhiSi4iguEvh7vnRqf3qyNK72G1JAsnSQtzYiojKCIYmoOIm9CxydC5z5FdCkSOMqNABaTQQqt5W3NiKiMoYhiag4iImQwtHZ3wBNqjTOIwBo+QlQqRUPrRERyYAhiUhO0TeBo3OA0NWANl0a59kcaPmx9JfhiIhINgxJRHJ4fB04Mhs4t0ZqkA1Ie4xafAx4NpW1NCIikjAkERWlR1eBw7OA838AQiuNq9xOCkcejeStjYiI9DAkERWFB5ekcBS2AYCQxlUJlNocVfCXtTQiooIkhEBKuhZmpiX/EkkMSUSFKSoMODwTuLgFunBUrQvQcjzg6idraUREBem/J0nYEnoPW0LvooGnPb7qUUfukl4ZQxJRYYg8J10+5PLW5+NqdAVajAdcfOSri4ioAMUmpWHb+UhsDr2Lf25GPx//NA1fdqsNI6OSffIJQxJRQbp7RgpHV3Y8G6EAavWQwpFTTVlLIyIqCMlpGhy4/ACbzt7FwfCHSNVI7SsVCqCxVzn08HNDYG3nEh+QgGISkr7//nvMnDkTUVFRqFu3LhYsWICGDRsanHfFihUYNGiQ3jiVSoXk5OSiKJXIsDsngcMzgKu7pWGFEVD7TaDFR0D5avLWRkT0irRageM3H2PL2XvYHhaJ+OR03bTqztbo4eeGrr6ucLExl7HKgid7SFq7di3Gjh2LJUuWoFGjRpg3bx4CAwMRHh4OR0dHg49Rq9UIDw/XDSvYlwzJJeI4cOhb4Pp+aVhhDPj0ApqPAxyqyFsbEdEruhQZh81n7+LPc/cQGft8Z4SrjRm6+rqhu58rqjurZaywcMkekubMmYP33ntPt3doyZIl2LZtG37++WdMmDDB4GMUCgWcnZ2LskwifbeOSuHo5mFp2MgEqNsHaDYWKOctb21ERK/gXsxTbAm9h81n7yL8frxuvNrMBF18XNDN1w0NPe1LxeG0l5E1JKWmpuL06dOYOHGibpyRkRHatWuHkJCQbB+XkJCAihUrQqvVol69evj6669Rq1Ytg/OmpKQgJSVFNxwXF1dwL4DKFiGkUHToW+D239I4I1PArx/QbAxg5ylreURE+RX7NA07zkdi09m7OJGpAbbS2Ahtqjuiu58bWlcvD5VJyT+tPy9kDUmPHj2CRqOBk5OT3ngnJydcvnzZ4GOqVauGn3/+GT4+PoiNjcWsWbPQpEkTXLhwARUqVMgyf3BwMKZOnVoo9VMZIYR0OO3QDODOcWmcsRLwe0cKR7bu8tZHRJQPKelSA+zNZ+9h/+UHugbYANC4kj26+7qhU20X2FiYylilvGQ/3JZXAQEBCAgI0A03adIENWrUwNKlS/Hll19mmX/ixIkYO3asbjguLg7u7vxRo1wQAri6R9pzdPeUNM5YBfgPBJqOAmzcZC2PiCivtFqBf25FY/PZu9h+PhJxLzTA7u7nhq51XeFqW7oaYOeXrCHJwcEBxsbGuH//vt74+/fv57rNkampKfz8/HDt2jWD01UqFVQq1SvXSmWIEED4DikcRYZK40zMgfrvAk1HAtZsD0dEJcvlqDhsPnsPf4bexb1MDbBdbMzQ1dcV3X3dUMOl9DbAzi9ZQ5JSqYS/vz/27duH7t27AwC0Wi327duHESNG5GoZGo0G58+fR+fOnQuxUioTtFqp88fDM4Co89I4UwugwRCgyYeAleGzLYmIiqN7MU/x5zmpAfblqOcNsK3NTNC5tgu6+7mhkVfZaICdX7Ifbhs7diwGDBiA+vXro2HDhpg3bx4SExN1Z7v1798fbm5uCA4OBgBMmzYNjRs3RuXKlRETE4OZM2fi9u3bGDJkiJwvg0oyrRa4tAU4NBN4cEEap7QCGg4FAoYDlg7y1kdElEuxT9OwM+x5A2zx7GpISmMjtK5eHt193dC6umOpuK5aUZA9JPXu3RsPHz7E559/jqioKPj6+mLnzp26xtwREREwMjLSzf/kyRO89957iIqKgp2dHfz9/XHs2DHUrMnejCmPtBrgwibp2moPn50ooFIDjf4HNP4AsLCXtz4iolyQGmA/xJbQu9h3+QFS0583wG7oZY8efm7oXMYbYOeXQoiMnFk2xMXFwcbGBrGxsVCrefy1TNKkA2HrpXD0+FlbNjMbKRg1+h9gbidvfUREL6HVCpy8FY3NoXex7V/9BthVnax0DbAr2FnIWGXBkuP3W/Y9SURFRpMG/LsWODwLeHJTGmduJx1SazhUCkpERMVYeFQ8NofexZ+h93A35qluvLPaDN18XdHN1w01XKx5JYoCwpBEpV96KnDud+DIbCDmtjTOopzUGLvBEEBlLW99REQ5iIx9ij9D72Fz6D1cinzeIbK1ygSd6jiju68bGlUqB2M2wC5wDElUeqWnAGd/A47OBWLvSOMsywNNRkqn86us5K2PiCgbcclp2Hk+CpvO3sXxm491DbBNjRVoVc0RPfzc0IYNsAsdQxKVLsmxwLV9Uj9HV3cDyTHSeCsnoOloqSNIZek5Rk9EpUdquhYHwx9gc+hd7L30QgNsT3t083NFlzousLVQylhl2cKQRCXfk1tA+E4gfLt0TTXt8waMsHaVLh1S7x3AlD3IElHxIYTArcdJ+PvaI90tcwPsKo7PG2C72/OfOzkwJFHJo9UAd09Le4uu7AQeXNSfXq4KUK2TdKvQEDDm25yIioeH8Sk4dj0jFD3Wa3wNAE5qFbrWdUV3PzfUdFGzAbbM+OtBJUNKAnDjgLTH6OouIPHh82kKY8Aj4HkwKuctX51ERJkkpKTjn5uPcfTqYxy7/kiv52tAamNUz8MOzSo7oEllB/i627IBdjHCkETFV+xdaU9R+A7g5mFAk/J8mkoNVG4HVOsMVG7Ljh+JqFhI02gReicGR69Ke4tC78QgXavfHWEtVzWaVnZA08oOaOBpBwslf4qLK24ZKj6EkC4om9G+KOpf/em2FaVQVK0j4NEEMGHjRSKSlxACl6PidW2KTtyMRlKqRm8eD3uLZ6GoHAIqlUM5K150vaRgSCJ5pT2V9hJltC+Kj8w0UQG4NwSqdpQOo5WvDvD4PBHJ7L8nSTh27TGOXnuEY9cf4VFCqt50e0slmniXQ7Nne4vY6LrkYkiiopfw4NlhtJ1SO6O0pOfTTC0B79bSHqMqHQCr8vLVSUQE4EliKkJuPAtF1x7h1uMkvenmpsZo6GWvC0XVna1hxHZFpQJDEhU+IaQz0MK3S8Ho7mkAmY7Rq92e7S3qDHg2A0zNZCuViCg5TYOTt6Jx9NkhtAv34pD5KqfGRgr4utuiqXc5NK3sAD8POyhNjLJfIJVYDElUONJTgdtHn7Uv2gHERuhPd/UDqj47G825Dg+jEZFs0jVanL8bi2PXH+Po1Uc4HfFEryNHQLpobNPKDmjq7YBGlexhbWYqU7VUlBiSqOAkRUu9XIfvkHq9Ts10qquJGVCplbTHqGpHQO0iW5lEVLYJIXD9YSKOXX+Eo1cfIeTGY8Rn6sQRAFxszNC0soN0ar53OTiquYe7LGJIolfz6Orzw2h3jgMi039flo7SmWhVO0kBiZcDISKZ3I9Lxt/XHj1rV/QYUXHJetPVZiYIyNTY2svBkh05EkMS5ZEmXQpD4TukW/R1/elOtZ+3L3L1A4x4nJ6Iil5cchpO3IjWBaNrDxL0pitNjNDA0w5NvKW9RbXdbNiJI2XBkEQvlxwLXNv77KKxe55fNBYAjEwBr+bP2hd1BGw9ZCuTiMqulHQNztyOkQ6hXXuEf/+LhSZTJ44KBVDHzUbXrqi+px3MTI1lrJhKAoYkMiz65rPT9LcDt4/pXzTW3B6oGijtMfJuA5ip5auTiMqE1HQtHiak4EFcMh7Gp+BBfIru753oJJy6HY3kNP3G1l4OlmhaWTqE1rhSOdhasANayhuGJALSU4D7YcDdM9Lp+f+dBB5f05/Hoap0JlrVTlIHj0b8D4yIXo0QAnHJ6c/CjhR+9APQ80AUk5T20uU5WKnQtHI53SU/3GzNi+BVUGnGkFTWCAE8vi6FoYxb1L+ARr/HWCiMgYpNngWjjrxoLBHlWrpGi8eJqbqg8yAua/jJuJ/ywqn2OTE1VqC8lQrl1WYob6WCo1qF8lYqONuYoZ6HHao6WbGxNRUohqTSLuGBfiC6e1pqY/Qic3vAzf/5zb0BYG5X9PUSUbGVlJqOB3GG9/RkjHsYn4zHial6nS++jLWZCcpbq+BorYKjtZnufvkXhm0tTBmCqEgxJJUmqYlA5Llnh8xOSYfPXuzEEQCMVYBLXaBC/WehqB5g58UOHYnKIK1WIDopNdvDXA/jUnRtgRJfuHBrTowU0uGvjL09urCj1g9ADlYqmCt5+J6KJ4akkkqTDjy8rL+H6MFF/X6KAAAKoHw1/b1ETrUAY/YWS1SSCCGQkq5FUqoGSanpeJqqeXZfg+Q0zfPxac/HP800/DQ109+0dCSlapCYko7HCalI1+Z+t4+5qXGWoFNed//5OHtLJU+ppxKPIakkEAKIvZMpEJ0B7oUCaYlZ57V2lfYMZQQiVz+efUZURNI1WiSlaTIFmBzCTKom07zpeJqmxdPU9EwBRwozunCTpsnTIay8KmepzBR2XjzkpYKjWhpnpeLPBpUdfLcXR0+fAPfOAv9l2kuU+CDrfEprwM1Pfy+R2rXo6yUqgdI1WiQ+25uSmJKOhBQpoCQ8G5bGPZuemjFO82y+dL29Mxl7cNI0hZhiMlGaGMFCaQwLU2OYK41hoTR59tcY5rpxz8abZtw3hnmmYXOlMaxUJnCwUqGclRKmxuz4lehFDElyS08BosKehaFT0t8XT78HACMT6TCZmz/g9qwtkUMVnopPZYZGKzKFlecBJiO06ALNs3FSuNFkDTzPQs+LfeoUJCMFsgQXi0xhJnNQeTHMPJ9ukml6pjBkaszDWERFhCGpKGm10mU8MvYO/XcKiDoPaA30/2Hn9XzvUIX6gHMdwJR9flDxJoRAqkaLlHQtUtK0SEnXICVdi+S0Z38z9tSkSntlsgSeZyEoKSXzfFLoKaxQY2qsgKXKBJZKE1iqjGGpMoGVbtgEVipjWOjGSdMtVc8CTDZhRmlsxLOwiEoBhqTClPDg2Vlmz0LRvTPZn36vO9PMH3CtB1iWK/p6qVR4MahkBJQXA4suxGQKM/rTX5j/2TKS9R6XdfmF2W4GAEyMFM+DzLNQkyXgPPtroXxxXOb5pceoTLg3logMY0gqKKlJUjsi3WGzM1Jj6xeZmEmn37vVf97A2s6Tp9+XcBnBJDVdizSNQGq6dD9VIwWHF8elPgsdz8drdI+X5hF686bqQsoLoSRNi+RMgaWogkpuqUyMYGZqDJWJEVSmRjAzMdYPOLqwkinAZAo9mQOP5bPQozLhXhoiKhoMSQXl5mHg994vjFQA5as/74uoQn3AsSZPvy8EGadHxyWnISE5HfHPbk/TNAbDRpqBECKFlIywo9GNS0sXSNEFGE02Yajw2re8KjNTI6hMjLMEFpWJsd406fZsnOnzcbrHmBjrHif9NbAM0+fz85ATEZV0DEkFxa2edPp9BX/90+9V1nJXVuxptQIJqVKokQJOmhRyUjLdzxR+4pLTkZCSpgtC8clpSEhJL7Izi3LDxEgBpYkRlCZGMDWWAoPq2bDyWYAwNc40bGIElYFxSuPnf/XDi7Fuz4zBwPJsHIMKEVH+FYuQ9P3332PmzJmIiopC3bp1sWDBAjRs2DDb+detW4fPPvsMt27dQpUqVfDtt9+ic+fORVixAVaOwLhL8tYgg9R0rS6kSAEmLUvYSUiRgk3m4fhM8yWkphfY4SGFArBSmsDazATWZqZSI1qT54EhpxCSq3HPQo8qp/HGRjDi2UdERCWe7CFp7dq1GDt2LJYsWYJGjRph3rx5CAwMRHh4OBwdHbPMf+zYMfTt2xfBwcF47bXXsHr1anTv3h1nzpxB7dq1ZXgFhUurFdAIAY1WuqVrBbQZf4X0V6PJmEcLjRZI12qhzfgrBNI1+sswuJwX5nmaqpGCTIr+3prMe2/ik9PzdHHKlzE1VsDazBTWZlIblIygY21mAmtVpvtmprAyk6arzUxgpcoYL7VlYUAhIqKCoBBC3iaejRo1QoMGDbBw4UIAgFarhbu7Oz788ENMmDAhy/y9e/dGYmIitm7dqhvXuHFj+Pr6YsmSJVnmT0lJQUpKim44Li4O7u7uiI2NhVpdcD1RX70fj+nbLukFEU1GiHkWXqS/z6dpNFkD0IuPLy4NcF/GQmmcKdw8Dy3WKsPBxtrMNEsQYoNcIiLKTlxcHGxsbAr89zsnsu5JSk1NxenTpzFx4kTdOCMjI7Rr1w4hISEGHxMSEoKxY8fqjQsMDMTmzZsNzh8cHIypU6cWWM3ZiU9Jx6ErDwv9eTIzNlJIN4UCJkYKGBm98FehgImxNF03b6Zb5nmMni3D+Nk482ehJyPMZBdsMoKRCXvrJSKiUkbWkPTo0SNoNBo4OTnpjXdycsLly5cNPiYqKsrg/FFRUQbnnzhxol6oytiTVNA8y1lids+6WcOIQgFj45cHGd19IyMYGUHvb+ZlGOuCDLjXhYiIqBDJ3iapsKlUKqhUqkJ/HntLJd7wr1Doz0NERERFQ9ZjJA4ODjA2Nsb9+/f1xt+/fx/Ozs4GH+Ps7Jyn+YmIiIjyQ9aQpFQq4e/vj3379unGabVa7Nu3DwEBAQYfExAQoDc/AOzZsyfb+YmIiIjyQ/bDbWPHjsWAAQNQv359NGzYEPPmzUNiYiIGDRoEAOjfvz/c3NwQHBwMABg1ahRatmyJ2bNno0uXLlizZg1OnTqFZcuWyfkyiIiIqJSRPST17t0bDx8+xOeff46oqCj4+vpi586dusbZERERMDJ6vsOrSZMmWL16NSZPnoxJkyahSpUq2Lx5c6nsI4mIiIjkI3s/SUVNjn4WiIiI6NXI8fvNzm2IiIiIDGBIIiIiIjKAIYmIiIjIAIYkIiIiIgMYkoiIiIgMYEgiIiIiMoAhiYiIiMgAhiQiIiIiA2TvcbuoZfSdGRcXJ3MlRERElFsZv9tF2Qd2mQtJ8fHxAAB3d3eZKyEiIqK8io+Ph42NTZE8V5m7LIlWq8W9e/dgbW0NhUIhdznFUlxcHNzd3XHnzh1euqUY4PYoXrg9ih9uk+KlsLaHEALx8fFwdXXVu6ZrYSpze5KMjIxQoUIFucsoEdRqNb9wihFuj+KF26P44TYpXgpjexTVHqQMbLhNREREZABDEhEREZEBDEmUhUqlwpQpU6BSqeQuhcDtUdxwexQ/3CbFS2naHmWu4TYRERFRbnBPEhEREZEBDElEREREBjAkERERERnAkERERERkAEMSERERkQEMSWVEcHAwGjRoAGtrazg6OqJ79+4IDw/Xmyc5ORnDhw9HuXLlYGVlhTfeeAP379/XmyciIgJdunSBhYUFHB0dMX78eKSnpxflSymVvvnmGygUCowePVo3jtujaN29exdvv/02ypUrB3Nzc9SpUwenTp3STRdC4PPPP4eLiwvMzc3Rrl07XL16VW8Z0dHR6NevH9RqNWxtbTF48GAkJCQU9Usp8TQaDT777DN4eXnB3Nwc3t7e+PLLL/UubMrtUbgOHz6MoKAguLq6QqFQYPPmzXrTC2r9//vvv2jevDnMzMzg7u6OGTNmFPZLyxtBZUJgYKBYvny5CAsLE6GhoaJz587Cw8NDJCQk6OZ5//33hbu7u9i3b584deqUaNy4sWjSpIluenp6uqhdu7Zo166dOHv2rNi+fbtwcHAQEydOlOMllRr//POP8PT0FD4+PmLUqFG68dweRSc6OlpUrFhRDBw4UJw4cULcuHFD7Nq1S1y7dk03zzfffCNsbGzE5s2bxblz50TXrl2Fl5eXePr0qW6ejh07irp164rjx4+LI0eOiMqVK4u+ffvK8ZJKtK+++kqUK1dObN26Vdy8eVOsW7dOWFlZifnz5+vm4fYoXNu3bxeffvqp2LhxowAgNm3apDe9INZ/bGyscHJyEv369RNhYWHi999/F+bm5mLp0qVF9TJfiiGpjHrw4IEAIA4dOiSEECImJkaYmpqKdevW6ea5dOmSACBCQkKEENKHxsjISERFRenmWbx4sVCr1SIlJaVoX0ApER8fL6pUqSL27NkjWrZsqQtJ3B5F65NPPhHNmjXLdrpWqxXOzs5i5syZunExMTFCpVKJ33//XQghxMWLFwUAcfLkSd08O3bsEAqFQty9e7fwii+FunTpIt599129ca+//rro16+fEILbo6i9GJIKav0vWrRI2NnZ6X1fffLJJ6JatWqF/Ipyj4fbyqjY2FgAgL29PQDg9OnTSEtLQ7t27XTzVK9eHR4eHggJCQEAhISEoE6dOnByctLNExgYiLi4OFy4cKEIqy89hg8fji5duuitd4Dbo6j9+eefqF+/Pnr27AlHR0f4+fnhhx9+0E2/efMmoqKi9LaHjY0NGjVqpLc9bG1tUb9+fd087dq1g5GREU6cOFF0L6YUaNKkCfbt24crV64AAM6dO4ejR4+iU6dOALg95FZQ6z8kJAQtWrSAUqnUzRMYGIjw8HA8efKkiF5NzkzkLoCKnlarxejRo9G0aVPUrl0bABAVFQWlUglbW1u9eZ2cnBAVFaWbJ/MPcsb0jGmUN2vWrMGZM2dw8uTJLNO4PYrWjRs3sHjxYowdOxaTJk3CyZMnMXLkSCiVSgwYMEC3Pg2t78zbw9HRUW+6iYkJ7O3tuT3yaMKECYiLi0P16tVhbGwMjUaDr776Cv369QMAbg+ZFdT6j4qKgpeXV5ZlZEyzs7MrlPrzgiGpDBo+fDjCwsJw9OhRuUsps+7cuYNRo0Zhz549MDMzk7ucMk+r1aJ+/fr4+uuvAQB+fn4ICwvDkiVLMGDAAJmrK3v++OMPrFq1CqtXr0atWrUQGhqK0aNHw9XVlduDihQPt5UxI0aMwNatW3HgwAFUqFBBN97Z2RmpqamIiYnRm//+/ftwdnbWzfPi2VUZwxnzUO6cPn0aDx48QL169WBiYgITExMcOnQI3333HUxMTODk5MTtUYRcXFxQs2ZNvXE1atRAREQEgOfr09D6zrw9Hjx4oDc9PT0d0dHR3B55NH78eEyYMAF9+vRBnTp18M4772DMmDEIDg4GwO0ht4Ja/yXhO4whqYwQQmDEiBHYtGkT9u/fn2UXp7+/P0xNTbFv3z7duPDwcERERCAgIAAAEBAQgPPnz+u98ffs2QO1Wp3lB4Zy1rZtW5w/fx6hoaG6W/369dGvXz/dfW6PotO0adMsXWJcuXIFFStWBAB4eXnB2dlZb3vExcXhxIkTetsjJiYGp0+f1s2zf/9+aLVaNGrUqAheRemRlJQEIyP9nydjY2NotVoA3B5yK6j1HxAQgMOHDyMtLU03z549e1CtWrVicagNALsAKCuGDRsmbGxsxMGDB0VkZKTulpSUpJvn/fffFx4eHmL//v3i1KlTIiAgQAQEBOimZ5xy3qFDBxEaGip27twpypcvz1POC0jms9uE4PYoSv/8848wMTERX331lbh69apYtWqVsLCwEL/99ptunm+++UbY2tqKLVu2iH///Vd069bN4CnPfn5+4sSJE+Lo0aOiSpUqPOU8HwYMGCDc3Nx0XQBs3LhRODg4iI8//lg3D7dH4YqPjxdnz54VZ8+eFQDEnDlzxNmzZ8Xt27eFEAWz/mNiYoSTk5N45513RFhYmFizZo2wsLBgFwBU9AAYvC1fvlw3z9OnT8UHH3wg7OzshIWFhejRo4eIjIzUW86tW7dEp06dhLm5uXBwcBDjxo0TaWlpRfxqSqcXQxK3R9H666+/RO3atYVKpRLVq1cXy5Yt05uu1WrFZ599JpycnIRKpRJt27YV4eHhevM8fvxY9O3bV1hZWQm1Wi0GDRok4uPji/JllApxcXFi1KhRwsPDQ5iZmYlKlSqJTz/9VO9UcW6PwnXgwAGDvxkDBgwQQhTc+j937pxo1qyZUKlUws3NTXzzzTdF9RJzRSFEpi5MiYiIiAgA2yQRERERGcSQRERERGQAQxIRERGRAQxJRERERAYwJBEREREZwJBEREREZABDEhEREZEBDElEREREBjAkERERERnAkEREJLM7d+6gVatWqFmzJnx8fLBu3Tq5SyIiALwsCRGRzCIjI3H//n34+voiKioK/v7+uHLlCiwtLeUujahM454kIsq1Vq1aYfTo0bI9vxACQ4cOhb29PRQKBUJDQwt0+bl5fYWxDlxcXODr6wsAcHZ2hoODA6Kjowv0OYgo70zkLoCISo6NGzfC1NRUtuffuXMnVqxYgYMHD6JSpUpwcHAo0OXL/foA4PTp09BoNHB3d5e1DiJiSCKiPLC3t5f1+a9fvw4XFxc0adKkQJebmpoKpVIp++uLjo5G//798cMPP8haBxFJeLiNiPSsX78ederUgbm5OcqVK4d27dohMTERgP6hplu3bkGhUGS5tWrVCgCg1WoRHBwMLy8vmJubo27duli/fn2Oz52SkoKRI0fC0dERZmZmaNasGU6ePAkAGDhwID788ENERERAoVDA09Mz2+XEx8ejX79+sLS0hIuLC+bOnatXe6tWrTBixAiMHj0aDg4OCAwMzPL6ACAxMRH9+/eHlZUVXFxcMHv27LyvUAC///47zM3NERkZqRs3aNAg+Pj4IDY2Vvfau3fvjgkTJhR4CCSi/GFIIiKdyMhI9O3bF++++y4uXbqEgwcP4vXXX4eh8zvc3d0RGRmpu509exblypVDixYtAADBwcH49ddfsWTJEly4cAFjxozB22+/jUOHDmX7/B9//DE2bNiAX375BWfOnEHlypURGBiI6OhozJ8/H9OmTUOFChUQGRmpC0+GjB07Fn///Tf+/PNP7NmzB0eOHMGZM2f05vnll1+gVCrx999/Y8mSJQaXM378eBw6dAhbtmzB7t27cfDgwSzLWbFiBRQKRba1AECfPn1QtWpVfP311wCAKVOmYO/evdixYwdsbGwghMDAgQPRpk0bvPPOOzkui4iKkCAieub06dMCgLh165bB6S1bthSjRo3KMv7p06eiUaNG4rXXXhMajUYkJycLCwsLcezYMb35Bg8eLPr27Wtw2QkJCcLU1FSsWrVKNy41NVW4urqKGTNmCCGEmDt3rqhYsWKOryEuLk6YmpqKdevW6cbFxMQICwsLXe0tW7YUfn5+Ob6++Ph4oVQqxR9//KGb/vjxY2Fubq63DjZu3CiqVauWY01CCPHXX38JlUolpk+fLuzs7ERYWJhu2pEjR4RCoRB169bV3f7999+XLpOIChfbJBGRTt26ddG2bVvUqVMHgYGB6NChA958803Y2dnl+Lh3330X8fHx2LNnD4yMjHDt2jUkJSWhffv2evOlpqbCz8/P4DKuX7+OtLQ0NG3aVDfO1NQUDRs2xKVLl3L9Gm7cuIG0tDQ0bNhQN87GxgbVqlXTm8/f3z/H5Vy/fh2pqalo1KiRbpy9vX2W5fTo0QM9evR4aV2vvfYaatasiWnTpmH37t2oVauWblqzZs2g1WpfugwiKloMSUSkY2xsjD179uDYsWPYvXs3FixYgE8//RQnTpyAl5eXwcdMnz4du3btwj///ANra2sAQEJCAgBg27ZtcHNz05tfpVIV7ovIpaLug2jnzp24fPkyNBoNnJycivS5iSh/2CaJiPQoFAo0bdoUU6dOxdmzZ6FUKrFp0yaD827YsAHTpk3DH3/8AW9vb934mjVrQqVSISIiApUrV9a7ZXdqu7e3t66NUIa0tDScPHkSNWvWzHX9lSpVgqmpqV6bpdjYWFy5ciXXy8iox9TUFCdOnNCNe/LkSZ6XAwBnzpxBr1698NNPP6Ft27b47LPP8rwMIip63JNERDonTpzAvn370KFDBzg6OuLEiRN4+PAhatSokWXesLAw9O/fH5988glq1aqFqKgoANCdSv/RRx9hzJgx0Gq1aNasGWJjY/H3339DrVZjwIABWZZnaWmJYcOGYfz48bC3t4eHhwdmzJiBpKQkDB48ONevwdraGgMGDNAtx9HREVOmTIGRkdFLG1hnZmVlhcGDB2P8+PEoV64cHB0d8emnn8LISP9/y02bNmHixIm4fPmyweXcunULXbp0waRJk9C3b19UqlQJAQEBOHPmDOrVq5freoio6DEkEZGOWq3G4cOHMW/ePMTFxaFixYqYPXs2OnXqlGXeU6dOISkpCdOnT8f06dN141u2bImDBw/iyy+/RPny5REcHIwbN27A1tYW9erVw6RJk7J9/m+++QZarRbvvPMO4uPjUb9+fezateulbaJeNGfOHLz//vt47bXXoFar8fHHH+POnTswMzPL03JmzpyJhIQEBAUFwdraGuPGjdOdsp8hNjYW4eHhBh8fHR2Njh07olu3bpgwYQIAoFGjRujUqRMmTZqEnTt35qkeIipavHYbEZV6iYmJcHNzw+zZs/O0V4qIyjbuSSKiUufs2bO4fPkyGjZsiNjYWEybNg0A0K1bN5krI6KShCGJiEqlWbNmITw8HEqlEv7+/jhy5EiBX+uNiEo3Hm4jIiIiMoBdABAREREZwJBEREREZABDEhEREZEBDElEREREBjAkERERERnAkERERERkAEMSERERkQEMSUREREQGMCQRERERGcCQRERERGQAQxIRERGRAQxJRERERAb8H1qt2T4AIZD4AAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "plt.plot(size, t_self, label=\"dist.ev(f)\")\n", + "plt.plot(size, t_dist, label=\"ce(dist, f)\")\n", + "plt.title(\"Time to calculate expectation of a function of shocks to income.\")\n", + "plt.ylabel(\"time (s)\")\n", + "plt.xlabel(\"size of grid: $x^2$\")\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Aliases for the new `expected()` method\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There is a top-level alias for the new `expected()` method to make it clearer as a mathematical expression. The way to access it is as follows:\n", + "\n", + "`expected(func, dstn, *args)`\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:27.638871Z", + "iopub.status.busy": "2024-07-11T15:30:27.638525Z", + "iopub.status.idle": "2024-07-11T15:30:27.641144Z", + "shell.execute_reply": "2024-07-11T15:30:27.640676Z" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "from HARK.distributions import expected" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:27.642604Z", + "iopub.status.busy": "2024-07-11T15:30:27.642379Z", + "iopub.status.idle": "2024-07-11T15:30:27.954010Z", + "shell.execute_reply": "2024-07-11T15:30:27.953437Z" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 1. , 1.57585002, 2.15170003, 2.72755005, 3.30340006,\n", + " 3.87925008, 4.4551001 , 5.03095011, 5.60680013, 6.18265014,\n", + " 6.75850016, 7.33435017, 7.91020019, 8.48605021, 9.06190022,\n", + " 9.63775024, 10.21360025, 10.78945027, 11.36530029, 11.9411503 ,\n", + " 12.51700032, 13.09285033, 13.66870035, 14.24455036, 14.82040038,\n", + " 15.3962504 , 15.97210041, 16.54795043, 17.12380044, 17.69965046,\n", + " 18.27550048, 18.85135049, 19.42720051, 20.00305052, 20.57890054,\n", + " 21.15475056, 21.73060057, 22.30645059, 22.8823006 , 23.45815062,\n", + " 24.03400063, 24.60985065, 25.18570067, 25.76155068, 26.3374007 ,\n", + " 26.91325071, 27.48910073, 28.06495075, 28.64080076, 29.21665078,\n", + " 29.79250079, 30.36835081, 30.94420082, 31.52005084, 32.09590086,\n", + " 32.67175087, 33.24760089, 33.8234509 , 34.39930092, 34.97515094,\n", + " 35.55100095, 36.12685097, 36.70270098, 37.278551 , 37.85440102,\n", + " 38.43025103, 39.00610105, 39.58195106, 40.15780108, 40.73365109,\n", + " 41.30950111, 41.88535113, 42.46120114, 43.03705116, 43.61290117,\n", + " 44.18875119, 44.76460121, 45.34045122, 45.91630124, 46.49215125,\n", + " 47.06800127, 47.64385128, 48.2197013 , 48.79555132, 49.37140133,\n", + " 49.94725135, 50.52310136, 51.09895138, 51.6748014 , 52.25065141,\n", + " 52.82650143, 53.40235144, 53.97820146, 54.55405148, 55.12990149,\n", + " 55.70575151, 56.28160152, 56.85745154, 57.43330155, 58.00915157])" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "expected(func=m_next, dist=IncShkDstn, args=(aGrid, R))" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:27.970063Z", + "iopub.status.busy": "2024-07-11T15:30:27.966031Z", + "iopub.status.idle": "2024-07-11T15:30:27.986446Z", + "shell.execute_reply": "2024-07-11T15:30:27.986012Z" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "3.7147215033527026" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "expected(func=lambda x: 1 / x[0] + x[1], dist=IncShkDstn)" + ] + } + ], + "metadata": { + "jupytext": { + "formats": "ipynb,py:percent" + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + }, + "vscode": { + "interpreter": { + "hash": "ab336f3885e19cdf99951e4b73ee65835b5095c97279903ad09e0692d3a202c7" + } + } }, - "tags": [] - }, - "outputs": [], - "source": [ - "from time import time\n", - "\n", - "import numpy as np\n", - "\n", - "from HARK.distribution import (\n", - " MeanOneLogNormal,\n", - " Normal,\n", - " calc_expectation,\n", - " combine_indep_dstns,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Next, we define discrete distributions as approximations of continuous distributions.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:29:19.323728Z", - "iopub.status.busy": "2024-07-11T15:29:19.323403Z", - "iopub.status.idle": "2024-07-11T15:29:19.333036Z", - "shell.execute_reply": "2024-07-11T15:29:19.332500Z" - }, - "tags": [] - }, - "outputs": [], - "source": [ - "dd_0_1_20 = Normal().discretize(20)\n", - "dd_1_1_40 = Normal(mu=1).discretize(40)\n", - "dd_10_10_100 = Normal(mu=10, sigma=10).discretize(100)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### The **new** `DiscreteDistribution.expected()` method\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "There are two ways to get the expectation of a distribution. The first is to use the **new** `expected()` method of the distribution shown below.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:29:19.335074Z", - "iopub.status.busy": "2024-07-11T15:29:19.334783Z", - "iopub.status.idle": "2024-07-11T15:29:31.778443Z", - "shell.execute_reply": "2024-07-11T15:29:31.777953Z" - }, - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1.53 µs ± 10.4 ns per loop (mean ± std. dev. of 7 runs, 1,000,000 loops each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "ce1 = dd_0_1_20.expected()\n", - "ce2 = dd_1_1_40.expected()\n", - "ce3 = dd_10_10_100.expected()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The second is to use `HARK.distribution.calc_expectation()`. Comparing the timings, the first method is significantly faster.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:29:31.780122Z", - "iopub.status.busy": "2024-07-11T15:29:31.779855Z", - "iopub.status.idle": "2024-07-11T15:29:39.059028Z", - "shell.execute_reply": "2024-07-11T15:29:39.058519Z" - }, - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "89.5 µs ± 985 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "ce1 = calc_expectation(dd_0_1_20)\n", - "ce2 = calc_expectation(dd_1_1_40)\n", - "ce3 = calc_expectation(dd_10_10_100)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### The Expected Value of a function of a random variable\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Both of these methods allow us to calculate the expected value of a function of the distribution. Using the first method, which is the distribution's own method, we only need to provide the function.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:29:39.060781Z", - "iopub.status.busy": "2024-07-11T15:29:39.060524Z", - "iopub.status.idle": "2024-07-11T15:29:42.915305Z", - "shell.execute_reply": "2024-07-11T15:29:42.914709Z" - }, - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "4.75 µs ± 47.3 ns per loop (mean ± std. dev. of 7 runs, 100,000 loops each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "ce4 = dd_0_1_20.expected(lambda x: 2**x)\n", - "ce5 = dd_1_1_40.expected(lambda x: 2 * x)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Using `HARK.distribution.calc_expectation()`, we first provide the distribution and then the function.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:29:42.917103Z", - "iopub.status.busy": "2024-07-11T15:29:42.916828Z", - "iopub.status.idle": "2024-07-11T15:29:52.328154Z", - "shell.execute_reply": "2024-07-11T15:29:52.327637Z" - }, - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "116 µs ± 1.51 µs per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "ce4 = calc_expectation(dd_0_1_20, lambda x: 2**x)\n", - "ce5 = calc_expectation(dd_1_1_40, lambda x: 2 * x)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### The expected value of a function with additional arguments\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For both methods, we can also provide a number of arguments to the function `args`, which are passed to the function and gets called as `func(dstn,*args)`.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:29:52.329834Z", - "iopub.status.busy": "2024-07-11T15:29:52.329585Z", - "iopub.status.idle": "2024-07-11T15:30:01.893270Z", - "shell.execute_reply": "2024-07-11T15:30:01.892739Z" - }, - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "11.8 µs ± 165 ns per loop (mean ± std. dev. of 7 runs, 100,000 loops each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "ce6 = dd_10_10_100.expected(lambda x, y: 2 * x + y, 20)\n", - "ce7 = dd_0_1_20.expected(lambda x, y: x + y, np.hstack([0, 1, 2, 3, 4, 5]))" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:01.894939Z", - "iopub.status.busy": "2024-07-11T15:30:01.894674Z", - "iopub.status.idle": "2024-07-11T15:30:04.417377Z", - "shell.execute_reply": "2024-07-11T15:30:04.416848Z" - }, - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "311 µs ± 2.32 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "ce6 = calc_expectation(dd_10_10_100, lambda x, y: 2 * x + y, 20)\n", - "ce7 = calc_expectation(dd_0_1_20, lambda x, y: x + y, np.hstack([0, 1, 2, 3, 4, 5]))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### The expected value of a function in `HARK`\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For a more practical demonstration of these methods as they would be used in `HARK`, we can create a distcrete distribution of shocks to income `IncShkDstn`. Given an array of liquid assets `aGrid` and an interest rate `R`, we can calculate the expected value of next period's cash on hand as the function `m_next = R * aGrid / perm_shk + tran_shk`. Below we see how this is done. Notice that the arguments to the function can be multidimensional.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:04.419068Z", - "iopub.status.busy": "2024-07-11T15:30:04.418811Z", - "iopub.status.idle": "2024-07-11T15:30:04.428399Z", - "shell.execute_reply": "2024-07-11T15:30:04.427964Z" - }, - "tags": [] - }, - "outputs": [], - "source": [ - "PermShkDstn = MeanOneLogNormal().discretize(200)\n", - "TranShkDstn = MeanOneLogNormal().discretize(200)\n", - "IncShkDstn = combine_indep_dstns(PermShkDstn, TranShkDstn)\n", - "aGrid = np.linspace(0, 20, 100) # aNrm grid\n", - "R = 1.05 # interest rate\n", - "\n", - "\n", - "def m_next(x, aGrid, R):\n", - " return R * aGrid / x[0] + x[1]" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:04.429902Z", - "iopub.status.busy": "2024-07-11T15:30:04.429661Z", - "iopub.status.idle": "2024-07-11T15:30:06.613165Z", - "shell.execute_reply": "2024-07-11T15:30:06.612782Z" - }, - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "27.1 ms ± 2.38 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "ce8 = IncShkDstn.expected(m_next, aGrid, R)\n", - "ce9 = IncShkDstn.expected(m_next, aGrid.reshape((10, 10)), R)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:06.615612Z", - "iopub.status.busy": "2024-07-11T15:30:06.615025Z", - "iopub.status.idle": "2024-07-11T15:30:09.410284Z", - "shell.execute_reply": "2024-07-11T15:30:09.409700Z" - }, - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "346 ms ± 2.32 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "ce8 = calc_expectation(IncShkDstn, m_next, aGrid, R)\n", - "ce9 = calc_expectation(IncShkDstn, m_next, aGrid.reshape((10, 10)), R)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Time Comparison of the two methods\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "As a final comparision of these two methods, we can see how the time difference is affected by the number of points in the distribution.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:09.412223Z", - "iopub.status.busy": "2024-07-11T15:30:09.412048Z", - "iopub.status.idle": "2024-07-11T15:30:27.240008Z", - "shell.execute_reply": "2024-07-11T15:30:27.237214Z" - }, - "tags": [] - }, - "outputs": [], - "source": [ - "size = np.arange(1, 11) * 100\n", - "\n", - "t_self = []\n", - "t_dist = []\n", - "\n", - "for n in size:\n", - " PermShkDstn = MeanOneLogNormal().discretize(n)\n", - " TranShkDstn = MeanOneLogNormal().discretize(n)\n", - " IncShkDstn = combine_indep_dstns(PermShkDstn, TranShkDstn)\n", - "\n", - " a_grid = np.linspace(0, 20, 100).reshape((10, 10))\n", - " R = 1.05\n", - "\n", - " start_self = time()\n", - " ce_self = IncShkDstn.expected(m_next, a_grid, R)\n", - " time_self = time() - start_self\n", - "\n", - " start_dist = time()\n", - " ce_dist = calc_expectation(IncShkDstn, m_next, a_grid, R)\n", - " time_dist = time() - start_dist\n", - "\n", - " t_self.append(time_self)\n", - " t_dist.append(time_dist)" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:27.243810Z", - "iopub.status.busy": "2024-07-11T15:30:27.243635Z", - "iopub.status.idle": "2024-07-11T15:30:27.636999Z", - "shell.execute_reply": "2024-07-11T15:30:27.636445Z" - }, - "tags": [] - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "plt.plot(size, t_self, label=\"dist.ev(f)\")\n", - "plt.plot(size, t_dist, label=\"ce(dist, f)\")\n", - "plt.title(\"Time to calculate expectation of a function of shocks to income.\")\n", - "plt.ylabel(\"time (s)\")\n", - "plt.xlabel(\"size of grid: $x^2$\")\n", - "plt.legend()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Aliases for the new `expected()` method\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "There is a top-level alias for the new `expected()` method to make it clearer as a mathematical expression. The way to access it is as follows:\n", - "\n", - "`expected(func, dstn, *args)`\n" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:27.638871Z", - "iopub.status.busy": "2024-07-11T15:30:27.638525Z", - "iopub.status.idle": "2024-07-11T15:30:27.641144Z", - "shell.execute_reply": "2024-07-11T15:30:27.640676Z" - }, - "tags": [] - }, - "outputs": [], - "source": [ - "from HARK.distribution import expected" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:27.642604Z", - "iopub.status.busy": "2024-07-11T15:30:27.642379Z", - "iopub.status.idle": "2024-07-11T15:30:27.954010Z", - "shell.execute_reply": "2024-07-11T15:30:27.953437Z" - }, - "tags": [] - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 1. , 1.57585002, 2.15170003, 2.72755005, 3.30340006,\n", - " 3.87925008, 4.4551001 , 5.03095011, 5.60680013, 6.18265014,\n", - " 6.75850016, 7.33435017, 7.91020019, 8.48605021, 9.06190022,\n", - " 9.63775024, 10.21360025, 10.78945027, 11.36530029, 11.9411503 ,\n", - " 12.51700032, 13.09285033, 13.66870035, 14.24455036, 14.82040038,\n", - " 15.3962504 , 15.97210041, 16.54795043, 17.12380044, 17.69965046,\n", - " 18.27550048, 18.85135049, 19.42720051, 20.00305052, 20.57890054,\n", - " 21.15475056, 21.73060057, 22.30645059, 22.8823006 , 23.45815062,\n", - " 24.03400063, 24.60985065, 25.18570067, 25.76155068, 26.3374007 ,\n", - " 26.91325071, 27.48910073, 28.06495075, 28.64080076, 29.21665078,\n", - " 29.79250079, 30.36835081, 30.94420082, 31.52005084, 32.09590086,\n", - " 32.67175087, 33.24760089, 33.8234509 , 34.39930092, 34.97515094,\n", - " 35.55100095, 36.12685097, 36.70270098, 37.278551 , 37.85440102,\n", - " 38.43025103, 39.00610105, 39.58195106, 40.15780108, 40.73365109,\n", - " 41.30950111, 41.88535113, 42.46120114, 43.03705116, 43.61290117,\n", - " 44.18875119, 44.76460121, 45.34045122, 45.91630124, 46.49215125,\n", - " 47.06800127, 47.64385128, 48.2197013 , 48.79555132, 49.37140133,\n", - " 49.94725135, 50.52310136, 51.09895138, 51.6748014 , 52.25065141,\n", - " 52.82650143, 53.40235144, 53.97820146, 54.55405148, 55.12990149,\n", - " 55.70575151, 56.28160152, 56.85745154, 57.43330155, 58.00915157])" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "expected(func=m_next, dist=IncShkDstn, args=(aGrid, R))" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:27.970063Z", - "iopub.status.busy": "2024-07-11T15:30:27.966031Z", - "iopub.status.idle": "2024-07-11T15:30:27.986446Z", - "shell.execute_reply": "2024-07-11T15:30:27.986012Z" - }, - "tags": [] - }, - "outputs": [ - { - "data": { - "text/plain": [ - "3.7147215033527026" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "expected(func=lambda x: 1 / x[0] + x[1], dist=IncShkDstn)" - ] - } - ], - "metadata": { - "jupytext": { - "formats": "ipynb,py:percent" - }, - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.9" - }, - "vscode": { - "interpreter": { - "hash": "ab336f3885e19cdf99951e4b73ee65835b5095c97279903ad09e0692d3a202c7" - } - } - }, - "nbformat": 4, - "nbformat_minor": 4 + "nbformat": 4, + "nbformat_minor": 4 } diff --git a/examples/FrameAgentType/FrameModels.ipynb b/examples/FrameAgentType/FrameModels.ipynb index cb17f224e..30883265e 100644 --- a/examples/FrameAgentType/FrameModels.ipynb +++ b/examples/FrameAgentType/FrameModels.ipynb @@ -1,1180 +1,1180 @@ { - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "9943b45d", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:50.324553Z", - "iopub.status.busy": "2024-07-11T15:30:50.324299Z", - "iopub.status.idle": "2024-07-11T15:30:51.165514Z", - "shell.execute_reply": "2024-07-11T15:30:51.164938Z" - } - }, - "outputs": [], - "source": [ - "from HARK.distribution import (\n", - " IndexDistribution,\n", - " Lognormal,\n", - " MeanOneLogNormal, # Random draws for simulating agents\n", - ")\n", - "from HARK.frame import (\n", - " BackwardFrameReference,\n", - " Frame,\n", - " FrameAgentType,\n", - " FrameModel,\n", - " draw_frame_model,\n", - ")\n", - "from HARK.rewards import (\n", - " CRRAutility,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "d531d493", - "metadata": {}, - "source": [ - "TO DO:\n", - "\n", - "Refactor to separate model from simulator (AgentType)\n", - "\n", - "- [x] Separate FrameModel from FrameAgentType - AgentType has cycles parameter. FrameModel need not have it.\n", - "- [x] Define Repeater transformation -- transforms FrameModel to be either explicitly infinite or to become finite cycled. Can take age-varying parameters here (and only here).\n", - "- [x] FrameAgentType consumes a FrameModel, and runs simulations in HARK way\n", - "- [ ] Further decouple FrameModel from FrameAgentType.\n", - " - [x] FrameModel should take parameters dictionary\n", - " - [x] Generalize simulation to access appropriate solution (transition_cNrm)\n", - " - [ ] FrameModel transition equations should not reference 'self' whiteboard\n", - " - [ ] FrameAgentType with an arbitrary well-formed FrameModel and solution should be able to forward-simulate\n", - " - [x] Replicate the ConsPortfolioFrameModel with new architecture.\n", - "- [ ] Automated tests\n", - "- [ ] Easier single variable target frames\n", - "\n", - "Solver as something that consumes and works with a FrameModel\n", - "\n", - "- [ ] Data structure for the solution of a model? -- A policy. (Look at Bellman library?)\n", - "- [ ] Extract the key sequence of variables along which to pass value\n", - "- [ ] Value-passing -- inverse function\n", - "- [ ] Value-passing -- Inverse expected value -- for chance transitions\n", - "- [ ] Policy updating --\n", - "- [ ] Value backup\n", - "\n", - "Solvers for repeated FrameModels\n", - "\n", - "- [ ] Finite solver as composition of these tools\n", - "- [ ] Infinite solver through use of tools to convergence\n", - "\n", - "Feed solution back to FrameAgentType\n", - "\n", - "- [ ] Build solution object a la HARK? Or ...\n", - "- [ ] Adjust simulator so that it uses the new solution object" - ] - }, - { - "cell_type": "markdown", - "id": "09b0e141", - "metadata": {}, - "source": [ - "## Some simple models" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "f5349e23", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.167610Z", - "iopub.status.busy": "2024-07-11T15:30:51.167238Z", - "iopub.status.idle": "2024-07-11T15:30:51.170315Z", - "shell.execute_reply": "2024-07-11T15:30:51.169842Z" - } - }, - "outputs": [], - "source": [ - "init_parameters = {}\n", - "init_parameters[\"PermGroFac\"] = 1.05\n", - "init_parameters[\"PermShkStd\"] = 1.5\n", - "init_parameters[\"PermShkCount\"] = 5\n", - "init_parameters[\"TranShkStd\"] = 3.0\n", - "init_parameters[\"TranShkCount\"] = 5\n", - "init_parameters[\"RiskyAvg\"] = 1.05\n", - "init_parameters[\"RiskyStd\"] = 1.5\n", - "init_parameters[\"RiskyCount\"] = 5\n", - "init_parameters[\"Rfree\"] = 1.03" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "d86a211c", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.171888Z", - "iopub.status.busy": "2024-07-11T15:30:51.171470Z", - "iopub.status.idle": "2024-07-11T15:30:51.175487Z", - "shell.execute_reply": "2024-07-11T15:30:51.175029Z" - } - }, - "outputs": [], - "source": [ - "# TODO: streamline this so it can draw the parameters from context\n", - "def birth_aNrmNow(N, **context):\n", - " \"\"\"Birth value for aNrmNow\"\"\"\n", - " return Lognormal(\n", - " mu=context[\"aNrmInitMean\"],\n", - " sigma=context[\"aNrmInitStd\"],\n", - " ## TODO -- where does this seed come from? The AgentType?\n", - " seed=self.RNG.integers(0, 2**31 - 1),\n", - " ).draw(N)\n", - "\n", - "\n", - "frame_model_A = FrameModel(\n", - " [\n", - " Frame((\"bNrm\",), (\"aNrm\",), transition=lambda Rfree, aNrm: Rfree * aNrm),\n", - " Frame((\"mNrm\",), (\"bNrm\", \"TranShk\"), transition=lambda bNrm: mNrm),\n", - " Frame((\"cNrm\"), (\"mNrm\",), control=True),\n", - " Frame(\n", - " (\"U\"),\n", - " (\"cNrm\", \"CRRA\"), ## Note CRRA here is a parameter not a state var\n", - " transition=lambda cNrm, CRRA: (CRRAutility(cNrm, CRRA),),\n", - " reward=True,\n", - " context={\"CRRA\": 2.0},\n", - " ),\n", - " Frame(\n", - " (\"aNrm\"),\n", - " (\"mNrm\", \"cNrm\"),\n", - " default={\"aNrm\": birth_aNrmNow},\n", - " transition=lambda mNrm, cNrm: (mNrm - cNrm,),\n", - " ),\n", - " ],\n", - " init_parameters,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "ab44a7f1", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.176808Z", - "iopub.status.busy": "2024-07-11T15:30:51.176641Z", - "iopub.status.idle": "2024-07-11T15:30:51.295861Z", - "shell.execute_reply": "2024-07-11T15:30:51.295342Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "draw_frame_model(frame_model_A)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "430c58ba", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.297415Z", - "iopub.status.busy": "2024-07-11T15:30:51.297234Z", - "iopub.status.idle": "2024-07-11T15:30:51.300732Z", - "shell.execute_reply": "2024-07-11T15:30:51.300263Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "True" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "isinstance(\n", - " list(frame_model_A.frames.var(\"bNrm\").parents.values())[0],\n", - " BackwardFrameReference,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "6430ea1c", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.302058Z", - "iopub.status.busy": "2024-07-11T15:30:51.301890Z", - "iopub.status.idle": "2024-07-11T15:30:51.305046Z", - "shell.execute_reply": "2024-07-11T15:30:51.304588Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "{('bNrm',): }" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "frame_model_A.frames.var(\"aNrm\").children" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "e031ba38", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.306374Z", - "iopub.status.busy": "2024-07-11T15:30:51.306194Z", - "iopub.status.idle": "2024-07-11T15:30:51.309245Z", - "shell.execute_reply": "2024-07-11T15:30:51.308784Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "True" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "frame_model_A.infinite" - ] - }, - { - "cell_type": "markdown", - "id": "c425cd0d", - "metadata": {}, - "source": [ - "## Modifying the model\n", - "\n", - "-- To refactor to use standalone models" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "36a87446", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.310618Z", - "iopub.status.busy": "2024-07-11T15:30:51.310449Z", - "iopub.status.idle": "2024-07-11T15:30:51.421905Z", - "shell.execute_reply": "2024-07-11T15:30:51.421397Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "double_model = frame_model_A.prepend(frame_model_A)\n", - "draw_frame_model(double_model, figsize=(8, 12))" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "456c2bbd", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.574536Z", - "iopub.status.busy": "2024-07-11T15:30:51.574287Z", - "iopub.status.idle": "2024-07-11T15:30:51.711871Z", - "shell.execute_reply": "2024-07-11T15:30:51.711396Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "double_model = frame_model_A.make_terminal().prepend(frame_model_A)\n", - "draw_frame_model(double_model, figsize=(8, 12))" - ] - }, - { - "cell_type": "markdown", - "id": "95361006", - "metadata": {}, - "source": [ - "## repeat()" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "3a9bdddc", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.713616Z", - "iopub.status.busy": "2024-07-11T15:30:51.713374Z", - "iopub.status.idle": "2024-07-11T15:30:51.888086Z", - "shell.execute_reply": "2024-07-11T15:30:51.887557Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "repeat_model = frame_model_A.repeat({\"bNrm\": {\"Rfree\": [1.01, 1.03, 1.02]}})\n", - "draw_frame_model(repeat_model, figsize=(8, 18))" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "50fa976b", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.889734Z", - "iopub.status.busy": "2024-07-11T15:30:51.889503Z", - "iopub.status.idle": "2024-07-11T15:30:51.892886Z", - "shell.execute_reply": "2024-07-11T15:30:51.892371Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "1.03" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "repeat_model.frames.var(\"bNrm_1\").context[\"Rfree\"]" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "46df498f", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.894391Z", - "iopub.status.busy": "2024-07-11T15:30:51.894167Z", - "iopub.status.idle": "2024-07-11T15:30:51.897423Z", - "shell.execute_reply": "2024-07-11T15:30:51.896932Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "{}" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "repeat_model.frames.var(\"aNrm_2\").children" - ] - }, - { - "cell_type": "markdown", - "id": "ee7f196c", - "metadata": {}, - "source": [ - "## Trying again at a solver ...." - ] - }, - { - "cell_type": "markdown", - "id": "7ec1ea98", - "metadata": {}, - "source": [ - "- [ ] Create grid of state values with a 'forward simulation' with dummy strategies\n", - "- [ ] For each control variable, backwards:\n", - " - [ ] Create objective function $f$ summing:\n", - " - [ ] Direct rewards of (a, s)\n", - " - [ ] Weighted expected value of (a,s)\n", - " - [ ] Over a grid of state values in the control variable's scope:\n", - " - [ ] Find optimal a* for s given $f$\n", - " - [ ] Using (s, a*) pairs:\n", - " - [ ] Interpolate\n", - " - [ ] Into a decision rule\n", - "- [ ] When all the decision rules are done, forward simulate.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "e60e0e50", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.898853Z", - "iopub.status.busy": "2024-07-11T15:30:51.898617Z", - "iopub.status.idle": "2024-07-11T15:30:51.900929Z", - "shell.execute_reply": "2024-07-11T15:30:51.900473Z" - } - }, - "outputs": [], - "source": [ - "model = frame_model_A" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "7a49ded9", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.902413Z", - "iopub.status.busy": "2024-07-11T15:30:51.902194Z", - "iopub.status.idle": "2024-07-11T15:30:51.905422Z", - "shell.execute_reply": "2024-07-11T15:30:51.904956Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "FrameSet([(('bNrm',),\n", - " <, target:('bNrm',), scope:('aNrm',)>),\n", - " (('mNrm',),\n", - " <, target:('mNrm',), scope:('bNrm', 'TranShk')>),\n", - " (('cNrm',),\n", - " <, target:('cNrm',), scope:('mNrm',)>),\n", - " (('U',),\n", - " <, target:('U',), scope:('cNrm', 'CRRA')>),\n", - " (('aNrm',),\n", - " <, target:('aNrm',), scope:('mNrm', 'cNrm')>)])" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model.frames" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "901d1782", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.906890Z", - "iopub.status.busy": "2024-07-11T15:30:51.906641Z", - "iopub.status.idle": "2024-07-11T15:30:51.909165Z", - "shell.execute_reply": "2024-07-11T15:30:51.908709Z" - } - }, - "outputs": [], - "source": [ - "def make_decision_rule(control_frame: Frame):\n", - " # get scope\n", - " scope = control_frame.scope\n", - "\n", - " # get objective function\n", - "\n", - " # get grid over the scope\n", - "\n", - " # get optimal action for each scope point given objective\n", - "\n", - " # interpolate from (s, a*) into decision rule" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "6a9a5c88", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.910602Z", - "iopub.status.busy": "2024-07-11T15:30:51.910379Z", - "iopub.status.idle": "2024-07-11T15:30:51.913029Z", - "shell.execute_reply": "2024-07-11T15:30:51.912554Z" - } - }, - "outputs": [], - "source": [ - "def create_value_function_from_reward_transition(transition, local_context):\n", - " def value_function(**parent_state):\n", - " inputs = parent_state.copy()\n", - " inputs.update(local_context)\n", - "\n", - " return transition(**inputs)\n", - "\n", - " return value_function" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "3642e854", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.914439Z", - "iopub.status.busy": "2024-07-11T15:30:51.914211Z", - "iopub.status.idle": "2024-07-11T15:30:51.917103Z", - "shell.execute_reply": "2024-07-11T15:30:51.916633Z" - } - }, - "outputs": [], - "source": [ - "for f in range(len(model.frames) - 1, 0, -1):\n", - " frame = model.frames.iloc(f)\n", - "\n", - " if frame.reward:\n", - " frame.value = create_value_function_from_reward_transition(\n", - " frame.transition,\n", - " frame.context,\n", - " )\n", - "\n", - " elif frame.control:\n", - " pass\n", - "\n", - " elif len(frame.children) == 0:\n", - " # terminal chance node\n", - "\n", - " pass\n", - "\n", - " else:\n", - " # intermediate state node\n", - " pass" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "8ede194b", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.918470Z", - "iopub.status.busy": "2024-07-11T15:30:51.918237Z", - "iopub.status.idle": "2024-07-11T15:30:51.921307Z", - "shell.execute_reply": "2024-07-11T15:30:51.920849Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "{'CRRA': 2.0}" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model.frames.iloc(3).context" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "858c0834", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.922729Z", - "iopub.status.busy": "2024-07-11T15:30:51.922511Z", - "iopub.status.idle": "2024-07-11T15:30:51.925671Z", - "shell.execute_reply": "2024-07-11T15:30:51.925173Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "(-0.5,)" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model.frames.iloc(3).value(cNrm=2)" - ] - }, - { - "cell_type": "markdown", - "id": "be0911b8", - "metadata": {}, - "source": [ - "### pycid rules in parallel..." - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "761360bc", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.927137Z", - "iopub.status.busy": "2024-07-11T15:30:51.926918Z", - "iopub.status.idle": "2024-07-11T15:30:51.930143Z", - "shell.execute_reply": "2024-07-11T15:30:51.929678Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "'\\ndef impute_random_decision(self, d: str) -> None:\\n \"\"\"Impute a random policy to the given decision node\"\"\"\\n try:\\n domain = self.model.domain[d]\\n except KeyError:\\n raise ValueError(f\"can\\'t figure out domain for {d}, did you forget to specify DecisionDomain?\")\\n else:\\n self.model[d] = StochasticFunctionCPD(\\n d, lambda **pv: {outcome: 1 / len(domain) for outcome in domain}, self, domain, label=\"random_decision\"\\n )\\n'" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "'''\n", - "def impute_random_decision(self, d: str) -> None:\n", - " \"\"\"Impute a random policy to the given decision node\"\"\"\n", - " try:\n", - " domain = self.model.domain[d]\n", - " except KeyError:\n", - " raise ValueError(f\"can't figure out domain for {d}, did you forget to specify DecisionDomain?\")\n", - " else:\n", - " self.model[d] = StochasticFunctionCPD(\n", - " d, lambda **pv: {outcome: 1 / len(domain) for outcome in domain}, self, domain, label=\"random_decision\"\n", - " )\n", - "'''" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "31bb749a", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.931505Z", - "iopub.status.busy": "2024-07-11T15:30:51.931287Z", - "iopub.status.idle": "2024-07-11T15:30:51.934495Z", - "shell.execute_reply": "2024-07-11T15:30:51.934002Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "'\\ndef expected_utility(\\n self, context: Dict[str, Outcome], intervention: Dict[str, Outcome] = None, agent: AgentLabel = 0\\n ) -> float:\\n \"\"\"Compute the expected utility of an agent for a given context and optional intervention\\n For example:\\n cid = get_minimal_cid()\\n out = self.expected_utility({\\'D\\':1}) #TODO: give example that uses context\\n Parameters\\n ----------\\n context: Node values to condition upon. A dictionary mapping of node => value.\\n intervention: Interventions to apply. A dictionary mapping node => value.\\n agent: Evaluate the utility of this agent.\\n \"\"\"\\n return sum(self.expected_value(self.agent_utilities[agent], context, intervention=intervention))\\n'" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "'''\n", - "def expected_utility(\n", - " self, context: Dict[str, Outcome], intervention: Dict[str, Outcome] = None, agent: AgentLabel = 0\n", - " ) -> float:\n", - " \"\"\"Compute the expected utility of an agent for a given context and optional intervention\n", - " For example:\n", - " cid = get_minimal_cid()\n", - " out = self.expected_utility({'D':1}) #TODO: give example that uses context\n", - " Parameters\n", - " ----------\n", - " context: Node values to condition upon. A dictionary mapping of node => value.\n", - " intervention: Interventions to apply. A dictionary mapping node => value.\n", - " agent: Evaluate the utility of this agent.\n", - " \"\"\"\n", - " return sum(self.expected_value(self.agent_utilities[agent], context, intervention=intervention))\n", - "'''" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "471405c0", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.935939Z", - "iopub.status.busy": "2024-07-11T15:30:51.935712Z", - "iopub.status.idle": "2024-07-11T15:30:51.938973Z", - "shell.execute_reply": "2024-07-11T15:30:51.938494Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "'\\ndef impute_optimal_decision(self, decision: str) -> None:\\n \"\"\"Impute an optimal policy to the given decision node\"\"\"\\n # self.add_cpds(random.choice(self.optimal_pure_decision_rules(d)))\\n self.impute_random_decision(decision)\\n domain = self.model.domain[decision]\\n utility_nodes = self.agent_utilities[self.decision_agent[decision]]\\n descendant_utility_nodes = list(set(utility_nodes).intersection(nx.descendants(self, decision)))\\n copy = self.copy() # using a copy \"freezes\" the policy so it doesn\\'t adapt to future interventions\\n\\n @lru_cache(maxsize=1000)\\n def opt_policy(**parent_values: Outcome) -> Outcome:\\n eu = {}\\n for d in domain:\\n parent_values[decision] = d\\n eu[d] = sum(copy.expected_value(descendant_utility_nodes, parent_values))\\n return max(eu, key=eu.get) # type: ignore\\n\\n self.add_cpds(StochasticFunctionCPD(decision, opt_policy, self, domain=domain, label=\"opt\"))\\n'" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "'''\n", - "def impute_optimal_decision(self, decision: str) -> None:\n", - " \"\"\"Impute an optimal policy to the given decision node\"\"\"\n", - " # self.add_cpds(random.choice(self.optimal_pure_decision_rules(d)))\n", - " self.impute_random_decision(decision)\n", - " domain = self.model.domain[decision]\n", - " utility_nodes = self.agent_utilities[self.decision_agent[decision]]\n", - " descendant_utility_nodes = list(set(utility_nodes).intersection(nx.descendants(self, decision)))\n", - " copy = self.copy() # using a copy \"freezes\" the policy so it doesn't adapt to future interventions\n", - "\n", - " @lru_cache(maxsize=1000)\n", - " def opt_policy(**parent_values: Outcome) -> Outcome:\n", - " eu = {}\n", - " for d in domain:\n", - " parent_values[decision] = d\n", - " eu[d] = sum(copy.expected_value(descendant_utility_nodes, parent_values))\n", - " return max(eu, key=eu.get) # type: ignore\n", - "\n", - " self.add_cpds(StochasticFunctionCPD(decision, opt_policy, self, domain=domain, label=\"opt\"))\n", - "'''" - ] - }, - { - "cell_type": "markdown", - "id": "b47198b3", - "metadata": {}, - "source": [ - "## Forward simulating the model" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "2bef5647", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.940409Z", - "iopub.status.busy": "2024-07-11T15:30:51.940195Z", - "iopub.status.idle": "2024-07-11T15:30:51.942681Z", - "shell.execute_reply": "2024-07-11T15:30:51.942229Z" - } - }, - "outputs": [], - "source": [ - "frame_agent_A = FrameAgentType(\n", - " frame_model_A,\n", - " T_sim=5000,\n", - " AgentCount=200,\n", - " read_shocks=True,\n", - " cycles=0,\n", - ")\n", - "\n", - "# frame_agent_A.solve()\n", - "# frame_agent_A.track_vars += [\n", - "# \"mNrm\",\n", - "# \"cNrm\",\n", - "# \"aNrm\",\n", - "# \"bNrm\",\n", - "# 'U'\n", - "# ]\n", - "\n", - "# Doesn't work yet.\n", - "# frame_agent_A.initialize_sim()\n", - "# frame_agent_A.simulate()" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "d178e201", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.944028Z", - "iopub.status.busy": "2024-07-11T15:30:51.943861Z", - "iopub.status.idle": "2024-07-11T15:30:51.946140Z", - "shell.execute_reply": "2024-07-11T15:30:51.945674Z" - } - }, - "outputs": [], - "source": [ - "## TODO: Forward simulate" - ] - }, - { - "cell_type": "markdown", - "id": "634a4b6c", - "metadata": {}, - "source": [ - "## Progressively more complex models" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "641517a2", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.947724Z", - "iopub.status.busy": "2024-07-11T15:30:51.947322Z", - "iopub.status.idle": "2024-07-11T15:30:51.954930Z", - "shell.execute_reply": "2024-07-11T15:30:51.954460Z" - } - }, - "outputs": [], - "source": [ - "# maybe replace reference to init_portfolio to self.parameters?\n", - "frame_model_B = FrameModel(\n", - " [\n", - " # TODO : make an aggegrate value\n", - " Frame(\n", - " (\"PermShk\"),\n", - " None,\n", - " default={\n", - " \"PermShk\": 1.0,\n", - " }, # maybe this is unnecessary because the shock gets sampled at t = 0\n", - " # this is discretized before it's sampled\n", - " transition=IndexDistribution(\n", - " Lognormal.from_mean_std,\n", - " {\n", - " \"mean\": init_parameters[\"PermGroFac\"],\n", - " \"std\": init_parameters[\"PermShkStd\"],\n", - " },\n", - " ).discretize(\n", - " init_parameters[\"PermShkCount\"],\n", - " method=\"equiprobable\",\n", - " tail_N=0,\n", - " ),\n", - " ),\n", - " Frame(\n", - " (\"TranShk\"),\n", - " None,\n", - " default={\n", - " \"TranShk\": 1.0,\n", - " }, # maybe this is unnecessary because the shock gets sampled at t = 0\n", - " transition=IndexDistribution(\n", - " MeanOneLogNormal,\n", - " {\"sigma\": init_parameters[\"TranShkStd\"]},\n", - " ).discretize(\n", - " init_parameters[\"TranShkCount\"],\n", - " method=\"equiprobable\",\n", - " tail_N=0,\n", - " ),\n", - " ),\n", - " Frame(\n", - " (\"Rport\"),\n", - " (\"Share\", \"Risky\", \"Rfree\"),\n", - " transition=lambda Share, Risky, Rfree: (\n", - " Share * Risky + (1.0 - Share) * Rfree,\n", - " ),\n", - " ),\n", - " Frame(\n", - " (\"bNrm\",),\n", - " (\"aNrm\", \"Rport\", \"PermShk\"),\n", - " transition=lambda aNrm, Rport, PermShk: (Rport / PermShk) * aNrm,\n", - " ),\n", - " Frame(\n", - " (\"mNrm\",),\n", - " (\"bNrm\", \"TranShk\"),\n", - " transition=lambda bNrm, TranShk: (bNrm + TranShk,),\n", - " ),\n", - " Frame((\"cNrm\"), (\"Adjust\", \"mNrm\", \"Share\"), control=True),\n", - " Frame(\n", - " (\"U\"),\n", - " (\n", - " \"cNrm\",\n", - " \"CRRA\",\n", - " ), ## Note CRRA here is a parameter not a state var transition = lambda self, cNrm, CRRA : (CRRAutility(cNrm, CRRA),),\n", - " reward=True,\n", - " ),\n", - " Frame(\n", - " (\"aNrm\"),\n", - " (\"mNrm\", \"cNrm\"),\n", - " default={\"aNrm\": birth_aNrmNow},\n", - " transition=lambda mNrm, cNrm: (mNrm - cNrm,),\n", - " ),\n", - " ],\n", - " init_parameters,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "06c92f23", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:51.956337Z", - "iopub.status.busy": "2024-07-11T15:30:51.956106Z", - "iopub.status.idle": "2024-07-11T15:30:52.071764Z", - "shell.execute_reply": "2024-07-11T15:30:52.071259Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "draw_frame_model(frame_model_B) # , dot = True)" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "fd86cf56", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:52.073525Z", - "iopub.status.busy": "2024-07-11T15:30:52.073203Z", - "iopub.status.idle": "2024-07-11T15:30:52.081318Z", - "shell.execute_reply": "2024-07-11T15:30:52.080829Z" - } - }, - "outputs": [], - "source": [ - "# TODO: streamline this so it can draw the parameters from context\n", - "def birth_aNrmNow(self, N):\n", - " \"\"\"Birth value for aNrmNow\"\"\"\n", - " return Lognormal(\n", - " mu=self.aNrmInitMean,\n", - " sigma=self.aNrmInitStd,\n", - " seed=self.RNG.integers(0, 2**31 - 1),\n", - " ).draw(N)\n", - "\n", - " # maybe replace reference to init_portfolio to self.parameters?\n", - "\n", - "\n", - "frame_model_C = FrameModel(\n", - " [\n", - " # TODO : make an aggegrate value\n", - " Frame(\n", - " (\"PermShk\"),\n", - " None,\n", - " default={\n", - " \"PermShk\": 1.0,\n", - " }, # maybe this is unnecessary because the shock gets sampled at t = 0\n", - " # this is discretized before it's sampled\n", - " transition=IndexDistribution(\n", - " Lognormal.from_mean_std,\n", - " {\n", - " \"mean\": init_parameters[\"PermGroFac\"],\n", - " \"std\": init_parameters[\"PermShkStd\"],\n", - " },\n", - " ).discretize(\n", - " init_parameters[\"PermShkCount\"],\n", - " method=\"equiprobable\",\n", - " tail_N=0,\n", - " ),\n", - " ),\n", - " Frame(\n", - " (\"TranShk\"),\n", - " None,\n", - " default={\n", - " \"TranShk\": 1.0,\n", - " }, # maybe this is unnecessary because the shock gets sampled at t = 0\n", - " transition=IndexDistribution(\n", - " MeanOneLogNormal,\n", - " {\"sigma\": init_parameters[\"TranShkStd\"]},\n", - " ).discretize(\n", - " init_parameters[\"TranShkCount\"],\n", - " method=\"equiprobable\",\n", - " tail_N=0,\n", - " ),\n", - " ),\n", - " Frame( ## TODO: Handle Risky as an Aggregate value\n", - " (\"Risky\"),\n", - " None,\n", - " transition=IndexDistribution(\n", - " Lognormal.from_mean_std,\n", - " {\n", - " \"mean\": init_parameters[\"RiskyAvg\"],\n", - " \"std\": init_parameters[\"RiskyStd\"],\n", - " },\n", - " # seed=self.RNG.integers(0, 2 ** 31 - 1) : TODO: Seed logic\n", - " ).discretize(init_parameters[\"RiskyCount\"], method=\"equiprobable\"),\n", - " aggregate=True,\n", - " ),\n", - " Frame(\n", - " (\"Rport\"),\n", - " (\"Share\", \"Risky\", \"Rfree\"),\n", - " transition=lambda Share, Risky, Rfree: (\n", - " Share * Risky + (1.0 - Share) * Rfree,\n", - " ),\n", - " ),\n", - " Frame(\n", - " (\"bNrm\",),\n", - " (\"aNrm\", \"Rport\", \"PermShk\"),\n", - " transition=lambda aNrm, Rport, PermShk: (Rport / PermShk) * aNrm,\n", - " ),\n", - " Frame(\n", - " (\"mNrm\",),\n", - " (\"bNrm\", \"TranShk\"),\n", - " transition=lambda bNrm, TranShk: (bNrm + TranShk,),\n", - " ),\n", - " Frame((\"Share\"), (\"Adjust\", \"mNrm\"), default={\"Share\": 0}, control=True),\n", - " Frame((\"cNrm\"), (\"Adjust\", \"mNrm\", \"Share\"), control=True),\n", - " Frame(\n", - " (\"U\"),\n", - " (\"cNrm\", \"CRRA\"), ## Note CRRA here is a parameter not a state var\n", - " transition=lambda cNrm, CRRA: (CRRAutility(cNrm, CRRA),),\n", - " reward=True,\n", - " ),\n", - " Frame(\n", - " (\"aNrm\"),\n", - " (\"mNrm\", \"cNrm\"),\n", - " default={\"aNrm\": birth_aNrmNow},\n", - " transition=lambda mNrm, cNrm: (mNrm - cNrm,),\n", - " ),\n", - " ],\n", - " init_parameters,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "f54fc581", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:52.082759Z", - "iopub.status.busy": "2024-07-11T15:30:52.082530Z", - "iopub.status.idle": "2024-07-11T15:30:52.291761Z", - "shell.execute_reply": "2024-07-11T15:30:52.291223Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "draw_frame_model(frame_model_C, figsize=(8, 12)) # , dot = True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "49dbf354", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "jupytext": { - "formats": "ipynb,py:percent" - }, - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.9" - } - }, - "nbformat": 4, - "nbformat_minor": 5 + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "9943b45d", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:50.324553Z", + "iopub.status.busy": "2024-07-11T15:30:50.324299Z", + "iopub.status.idle": "2024-07-11T15:30:51.165514Z", + "shell.execute_reply": "2024-07-11T15:30:51.164938Z" + } + }, + "outputs": [], + "source": [ + "from HARK.distributions import (\n", + " IndexDistribution,\n", + " Lognormal,\n", + " MeanOneLogNormal, # Random draws for simulating agents\n", + ")\n", + "from HARK.frame import (\n", + " BackwardFrameReference,\n", + " Frame,\n", + " FrameAgentType,\n", + " FrameModel,\n", + " draw_frame_model,\n", + ")\n", + "from HARK.rewards import (\n", + " CRRAutility,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "d531d493", + "metadata": {}, + "source": [ + "TO DO:\n", + "\n", + "Refactor to separate model from simulator (AgentType)\n", + "\n", + "- [x] Separate FrameModel from FrameAgentType - AgentType has cycles parameter. FrameModel need not have it.\n", + "- [x] Define Repeater transformation -- transforms FrameModel to be either explicitly infinite or to become finite cycled. Can take age-varying parameters here (and only here).\n", + "- [x] FrameAgentType consumes a FrameModel, and runs simulations in HARK way\n", + "- [ ] Further decouple FrameModel from FrameAgentType.\n", + " - [x] FrameModel should take parameters dictionary\n", + " - [x] Generalize simulation to access appropriate solution (transition_cNrm)\n", + " - [ ] FrameModel transition equations should not reference 'self' whiteboard\n", + " - [ ] FrameAgentType with an arbitrary well-formed FrameModel and solution should be able to forward-simulate\n", + " - [x] Replicate the ConsPortfolioFrameModel with new architecture.\n", + "- [ ] Automated tests\n", + "- [ ] Easier single variable target frames\n", + "\n", + "Solver as something that consumes and works with a FrameModel\n", + "\n", + "- [ ] Data structure for the solution of a model? -- A policy. (Look at Bellman library?)\n", + "- [ ] Extract the key sequence of variables along which to pass value\n", + "- [ ] Value-passing -- inverse function\n", + "- [ ] Value-passing -- Inverse expected value -- for chance transitions\n", + "- [ ] Policy updating --\n", + "- [ ] Value backup\n", + "\n", + "Solvers for repeated FrameModels\n", + "\n", + "- [ ] Finite solver as composition of these tools\n", + "- [ ] Infinite solver through use of tools to convergence\n", + "\n", + "Feed solution back to FrameAgentType\n", + "\n", + "- [ ] Build solution object a la HARK? Or ...\n", + "- [ ] Adjust simulator so that it uses the new solution object" + ] + }, + { + "cell_type": "markdown", + "id": "09b0e141", + "metadata": {}, + "source": [ + "## Some simple models" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "f5349e23", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.167610Z", + "iopub.status.busy": "2024-07-11T15:30:51.167238Z", + "iopub.status.idle": "2024-07-11T15:30:51.170315Z", + "shell.execute_reply": "2024-07-11T15:30:51.169842Z" + } + }, + "outputs": [], + "source": [ + "init_parameters = {}\n", + "init_parameters[\"PermGroFac\"] = 1.05\n", + "init_parameters[\"PermShkStd\"] = 1.5\n", + "init_parameters[\"PermShkCount\"] = 5\n", + "init_parameters[\"TranShkStd\"] = 3.0\n", + "init_parameters[\"TranShkCount\"] = 5\n", + "init_parameters[\"RiskyAvg\"] = 1.05\n", + "init_parameters[\"RiskyStd\"] = 1.5\n", + "init_parameters[\"RiskyCount\"] = 5\n", + "init_parameters[\"Rfree\"] = 1.03" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "d86a211c", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.171888Z", + "iopub.status.busy": "2024-07-11T15:30:51.171470Z", + "iopub.status.idle": "2024-07-11T15:30:51.175487Z", + "shell.execute_reply": "2024-07-11T15:30:51.175029Z" + } + }, + "outputs": [], + "source": [ + "# TODO: streamline this so it can draw the parameters from context\n", + "def birth_aNrmNow(N, **context):\n", + " \"\"\"Birth value for aNrmNow\"\"\"\n", + " return Lognormal(\n", + " mu=context[\"aNrmInitMean\"],\n", + " sigma=context[\"aNrmInitStd\"],\n", + " ## TODO -- where does this seed come from? The AgentType?\n", + " seed=self.RNG.integers(0, 2**31 - 1),\n", + " ).draw(N)\n", + "\n", + "\n", + "frame_model_A = FrameModel(\n", + " [\n", + " Frame((\"bNrm\",), (\"aNrm\",), transition=lambda Rfree, aNrm: Rfree * aNrm),\n", + " Frame((\"mNrm\",), (\"bNrm\", \"TranShk\"), transition=lambda bNrm: mNrm),\n", + " Frame((\"cNrm\"), (\"mNrm\",), control=True),\n", + " Frame(\n", + " (\"U\"),\n", + " (\"cNrm\", \"CRRA\"), ## Note CRRA here is a parameter not a state var\n", + " transition=lambda cNrm, CRRA: (CRRAutility(cNrm, CRRA),),\n", + " reward=True,\n", + " context={\"CRRA\": 2.0},\n", + " ),\n", + " Frame(\n", + " (\"aNrm\"),\n", + " (\"mNrm\", \"cNrm\"),\n", + " default={\"aNrm\": birth_aNrmNow},\n", + " transition=lambda mNrm, cNrm: (mNrm - cNrm,),\n", + " ),\n", + " ],\n", + " init_parameters,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "ab44a7f1", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.176808Z", + "iopub.status.busy": "2024-07-11T15:30:51.176641Z", + "iopub.status.idle": "2024-07-11T15:30:51.295861Z", + "shell.execute_reply": "2024-07-11T15:30:51.295342Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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+Y1+SvLw8jR49WuvWrdPcuXM1efJksyOdF1PAAACgzvzwww+6/vrrq5S/W2+9VTt27KhR+TvT5MmTlZWVpR9++EERERFKTU11ucvEGIahlJQU9ejRQ7t371ZWVpbLlz+JAggAAOqAYRhasmSJrrnmGm3btk2S5Ovrq5dfflmffPKJWrVqdVHvO2jQIO3cuVPDhw/XuHHjNGjQIO3du7cuo1+0vLw8DRw4UOPHj9fw4cO1c+dOl5v2rQ4FEAAAXJLCwkINHz5cjzzyiE6ePClJ6tatm7Zs2aKnnnpKPj6XVjcqbxl35mrgggULZLPZ6iJ+rdlsNi1YsKDKql9qaqpLXefvQiiAAADgom3evFm9e/fWe++959g2evRoZWdn6+qrr67TfVWuBj744INKSEhQu3btFBsbq5ycnDrdT3VycnI0fvx4hYaGKiEhQQ8++KBbrfqdiQIIAABqrby8XLNnz1bfvn0d9/ANDg7WihUrlJGRoSZNmtTLfoOCgpSSkqK8vDxNmjRJq1atUs+ePdWvXz+99957jusM1hW73a7MzEz17dtXPXv21OrVqxUfH6+9e/cqJSXFrVb9zmQxanA2pc1mU3BwsAoLC932gwIAgLqxb98+jRgxQv/6178c22644Qa9++67Tp/ULSsr0+rVq5WcnKz169erWbNmuu666xQZGen4CgsLq9HlWAzDUH5+vrKzsx1fW7ZsUUFBgQYMGKDY2Fjdeeed8vX1dcInq73a9DUKIAAAqLGPPvpIo0ePVkFBgSTJx8dHiYmJmjp1qho2NPfqcrt27dL777+vrVu3Kjs7W4cOHZIktWjRQpGRkerSpYusVqusVqv8/Pxkt9tVUlKikpIS5ebmKjs7W0ePHpUktWnTRpGRkYqKitL999+v7t27m/nRaoQCCAAA6lRxcbHi4uKUkpLi2BYWFqbly5erb9++JiY7N8MwdODAgSqrefn5+SopKVFpaalOnTqlRo0ayd/fX1arVWFhYY4Vw6ioKIWGhpr9EWqNAggAAOpMTk6OHnjgAe3atcux7Z577lF6erpCQkJMTIYz1aavMQQCAADOyTAMvfHGG7r22msd5c9qtSotLU0ffPAB5c+NcSs4AABwlqNHj2r06NH629/+5tjWs2dPvffee7ryyitNTIa6wAogAACoYt26derVq1eV8jdhwgRt2bKF8uchKIAAAEDS6UuqPPPMMxo4cKAOHDgg6fQE7ccff6xXX31V/v7+JidEXeEQMAAA0J49ezR8+HD95z//cWwbOHCgli5dqrZt25qYDPWBFUAAALzc8uXLdfXVVzvKX8OGDfXSSy9pzZo1lD8PxQogAABeqqioSI899piWLVvm2Na5c2dlZmbq2muvNTEZ6hsrgAAAeKGvvvpKV199dZXyN2rUKG3fvp3y5wUogAAAeJGKigq99NJLuuGGG7Rnzx5JUmBgoJYvX663335bgYGBJieEM3AIGAAAL3HgwAGNGjVKn332mWPbddddp8zMTHXq1MnEZHA2VgABAPACn3zyiXr16uUofxaLRc8884y++OILyp8XYgUQAAAPVlpaqoSEBC1cuNCxrW3btnrnnXd00003mZgMZqIAAgDgoXbt2qVhw4Zpx44djm2333673nzzTbVo0cLEZDAbh4ABAPAwhmEoLS1NUVFRjvLXqFEjvf7661q9ejXlD6wAAgDgSY4dO6bo6GitXLnSse2qq65SZmamevToYWIyuBJWAAEA8BAbN25Ur169qpS/8ePH66uvvqL8oQoKIAAAbu63337TtGnTNGDAAO3bt0+S1KxZM3300UdKTk6W1Wo1OSFcDYeAAQBwY3l5eXrwwQe1adMmx7Ybb7xR77zzjtq3b29iMrgyVgABAHBT77//vnr37u0ofw0aNNDs2bP12WefUf5wXqwAAgDgZk6ePKkJEybozTffdGwLDw/Xu+++q+uvv97EZHAXFEAAANzItm3bNGzYMP3www+ObQ888IBSUlIUHBxsYjK4Ew4BAwDgBioqKrRgwQL94Q9/cJS/Jk2a6K233tK7775L+UOtsAIIAICLO3z4sB5++GF9+umnjm3XXHONMjMz1bVrVxOTwV2xAggAgAtbs2aNevXqVaX8xcXFafPmzZQ/XDRWAAEAcEGnTp3Ss88+qwULFji2tW7dWm+//bYGDx5sYjJ4AgogAAAu5ocfftCwYcO0bds2x7Zbb71VS5YsUatWrUxMBk/BIWAAAFyEYRh66623dM011zjKn5+fn15++WV98sknlD/UGVYAAQBwAcePH9e4ceO0YsUKx7Zu3bopMzNTV199tYnJ4IkogEAt7N69W0VFRWbHcDmBgYG6/PLLzY4BuK1NmzZp+PDh2rt3r2PbmDFj9Morr6hJkyYmJoOnogACNbR7924m7s7jhx9+oAQCtVReXq4XXnhB06dPV3l5uSQpODhY6enpuu+++0xOB09GAQRqqHLl75133tGVV15pchrX8e2332rEiBGsjAK1tG/fPo0YMUL/+te/HNv++Mc/avny5erQoYOJyeANKIBALV155ZW65pprzI4BwI199NFHGj16tAoKCiRJPj4+SkxM1NSpU9WwIf9pRv3jf2UAADhJcXGx4uLilJKS4tgWFham5cuXq2/fviYmg7ehAAIA4AQ5OTl64IEHtGvXLse2e+65R+np6QoJCTExGbwR1wEEAKAeGYah119/Xddee62j/FmtVqWlpemDDz6g/MEUrAACAFBPjh49qkcffVQff/yxY1uvXr2UmZnJMBlMxQogAAD1YN26derZs2eV8jdhwgR9+eWXlD+YjgIIAEAdKisr0zPPPKOBAwfq4MGDkqQWLVrok08+0auvvip/f3+TEwIcAgYAoM7s2bNHw4cP13/+8x/HtoEDB2rp0qVq27aticmAqlgBBACgDixfvlxXX321o/w1bNhQc+fO1Zo1ayh/cDmsAAIAcAmKior02GOPadmyZY5tXbp0UWZmpqKiokxMBlSPFUAAAC7SV199pauvvrpK+XvooYe0bds2yh9cGiuAAIB6ZxiG9u/fr+zsbMdXfn6+SkpKVFpaKrvdLj8/P/n7+8tqtSosLEyRkZGKjIxUVFSUQkNDZbFYzP4YDhUVFUpKSlJiYqJ+++03SVJgYKBSUlI0fPhwk9MBF0YBBADUi127dmnFihXaunWrsrOzdfjwYUlSy5YtFRkZqX79+qlx48ayWq3y8/OT3W5XSUmJiouLtWfPHqWkpOjIkSOSpNatWzvK4NChQ9W9e3fTPteBAwc0atQoffbZZ45tffr00bvvvqtOnTqZlguoDQogAKDOlJWVadWqVUpOTtaGDRvUrFkz9enTR9HR0Y4Vvfbt29doNc8wDO3bt6/KquHrr7+umTNnqn///oqNjdWQIUPk6+vrhE922ieffKJHHnlER48elSRZLBY988wzmj59ulNzAJeKAggAuGT79u1TWlqa0tPTdejQIfXr10/vvfee7rrrLvn5+V3Ue1osFoWFhSksLExDhgyRJNntdq1cuVLJycm6//771bZtW0VHRys6Olrt27evw09UVWlpqRISErRw4ULHttDQUC1btkw33XRTve0XqC8MgQAALprNZtO4ceMUHh6ul19+WXfffbdycnL0r3/9S0OHDr3o8lcdPz8/PfDAA9q4caN27NihIUOGaMGCBQoPD9e4ceNks9nqdH+S9O2336pPnz5Vyt8dd9yhb775hvIHt0UBBABclKysLEVERGj58uVKSkrS/v379cYbbygiIsIp++/Ro4eSk5O1f/9+JSUlafny5YqIiFBWVtZFvV9FRYUqKiocjw3DUFpamiIjI7Vjxw5JUqNGjfTGG29o1apVatGiRZ18DsAMFEAAQK3YbDbFxMRo8ODB6tatm3bu3KmJEycqKCjIlDxBQUGaOHGicnJy1LVrVw0ePFgxMTG1Wg1cs2aNmjRpoj/96U+y2Ww6duyY7r33Xo0dO1YlJSWSpKuuukpfffWVYmNjXWoiGbgYFEAAQI1VrvplZmYqJSVFWVlZ6tChg9mxJEnh4eFau3atUlJSlJmZWePVQLvdrnHjxqm0tFSbN2/Wvffeq169emnlypWO54wfP15fffWVevToUZ8fAXAaCiAAoEaSkpKqrPqNHTvW5VbCLBaLxo4dW2U1MCkp6byvycjIUF5enuPx2rVrtW/fPklSs2bN9NFHHyk5OVlWq7U+owNORQEEAJyXYRh69tlnlZCQoMTERJda9atO5WpgYmKiEhISNGXKFBmGcdbziouLNXv27HO+R58+ffTNN984JpABT8JlYAAA1TIMQ08++aQWLlyoBQsWaOLEiWZHqjGLxaJZs2YpJCREcXFxOnHihF555ZUqq5ZvvPGGDh48eM7XV1RUqHXr1s6KCzgVBRAAUK3ExEQtXLhQqampiomJMTvORZk0aZICAgI0duxYBQYGOlb8CgoKNHXq1Gpf99VXX+mf//yn7rjjDmdFBZyGAggAOKekpCQ9//zzmj9/vtuWv0oxMTEqKipSfHy8goODNXnyZE2dOlWnTp2q9jVNmjRRly5dnJgScB4KIADgLFlZWY5z/iZNmmR2nDoRFxengoICJSQkqHfv3rruuuv0xhtvSDp9fb8ePXqoe/fujq8//OEPatmypcmpgfpBAQRcwIYNGzRgwABJ0tatWxUZGVnl5w8//LA+/PBDnThxwox48DI2m01jxozRwIEDNXPmTLPj1KlZs2Zp8+bNGj16tHbu3Kkff/xRZWVl6tKli3x8mIuE9+B/7YCLmT59utkR4OXi4+NVUFCgjIwMl7vMy6WyWCxavHixCgoKNHnyZHXs2FFdu3al/MHr8L94wIX07t1bn3zyibZt21br1xqG4bhjAXCxsrKylJ6ernnz5rn8pV4uVnh4uJKSkpSWlqa1a9eaHQcwBQUQcJL9+/dr9OjRCg0NVaNGjdSxY0eNHz9edrvd8ZwnnnhCISEhNVoFDA8P12233aY1a9YoKipKVqtVqamp2rBhgywWi95//33NmDFD7dq1U2BgoO69914VFhbq1KlTeuqpp9SqVSsFBATokUceOe+J8PAeZx76dfehjwsZO3asbrrpJo0ePbpWt4wDPAXnAAJOcODAAV133XU6fvy4YmJidMUVV2j//v368MMPVVxc7Hhe5T1Np02bpm3btumaa6457/t+//33GjZsmMaOHavo6Gh169bN8bMXXnhBVqtVf/3rX5Wbm6uFCxfK19dXPj4+Kigo0PTp0/Xll19qyZIl6tixo6ZNm1Zvnx/uISEhwWMP/f5e5aHgHj16KCEhQSkpKWZHApzLqIHCwkJDklFYWFiTpwMeKTs725BkZGdn1/q1o0aNMnx8fIyvvvrqrJ9VVFQY69evNyQZH3zwgXH8+HEjJCTEuOOOOxzPeeihh4wmTZpUeV2HDh0MScann35aZXvle0VERBh2u92xfdiwYYbFYjFuvfXWKs+//vrrjQ4dOtT6M1W6lN8LXEd+fr7RoEEDY8GCBWZHcar58+cbDRo0MPbt22d2FOCS1aavcQgYqGcVFRVatWqVbr/9dkVFRZ3189+vtAQHB+upp57S3/72N23fvv28792xY0cNHjz4nD8bNWqUfH19HY/79OkjwzD06KOPVnlenz59lJ+fr99++62mHwkeKD09XVarVaNHjzY7ilONGTNG/v7+Sk9PNzsK4FReXQANw9C33357zvtDAnXlyJEjstlsioiIqPFrnnzySTVt2vSC5wJ27Nix2p9ddtllVR4HBwdLksLCws7aXlFRocLCwhrnq4mjR48qKSlJPXr00HXXXafDhw/X6fuj7pSVlSktLU0jR45UUFCQ2XGcKigoSCNHjlRaWprKysrMjgM4jVcXwKVLl6p79+5aunSp2VGAKmq6Cmi1Wqv9WYMGDWq1vS7+IWQYhr788ks99NBDat++vRISErRz50599dVXTFu6sFWrVunQoUMaP3682VFMMX78eB08eFCrV682OwrgNF5bAI8fP67JkyfL399fCQkJOn78uNmR4KFatmypoKAg7dy5s1ave+qpp9S0aVPNmDGjnpLVrWXLlqlNmza6/vrrtXTp0rMmi0tLSznM7KKSk5PVt29f9ejRw+wopujZs6f+9Kc/KTk52ewogNN47RTw1KlTVVJSos8//1wDBgzQtGnT9Nprr5kdCx7Ix8dHQ4YM0TvvvKOtW7eedR5gdStvlauA06dPV69evZwR9ZK88sor5/15dHS0oqOjFRQUpGbNmqlZs2Zq3ry54/vqtjVv3lwhISFVzmdE3dm1a5c2bNigzMxMs6OYKjY2VsOHD9e3336rK6+80uw4QL3zygL49ddfKzk5WUlJSYqKitL06dOVkJCg0aNHu8V/aOF+nn/+eWVlZenGG29UTEyMrrzySh08eFAffPCBvvjii2pf9+STT+rll1/WN998oyZNmjgxce1ZrdYaXYjaZrPJZrMpLy+vVu8fGBhYbUGs7nFISIj8/Pwu8hN5hxUrVqhZs2a6++67zY5iqnvuuUchISFasWIFd+OBV/C6AlhRUaHHHntMV155pZ544glJ0oQJE/Tmm2/qscce08aNG7klEOpcu3bttGXLFk2dOlXLly+XzWZTu3btdOutt6px48bVvq5p06Z66qmn3OIw8D//+U+9+eabWr58ucrLy8/6+Z///GeVlJTo119/1bFjx3Ts2LFzPq86RUVFKioq0t69e2uVq7I41mbVsVmzZl5THLdu3ao+ffp4zeetjp+fn/r06aOtW7eaHQVwCotRgzO/bTabgoODVVhY6PYTYkuWLNEjjzyi9evXq3///o7t69ev10033aQlS5booYceMi8gXNa2bdsUGRmp7OzsC16g2Zv8/vfy3XffacKECWcNfRQVFSkgIMDx2DAMFRUVVSmEx44du+DjY8eOOeVcwoCAgBqtMv7+sTsVKcMw1LZtW0VHR2vWrFn1tp+8vDzHxPqHH36oe+65p8rPp0+frhkzZujIkSNq0aJFveW4kMTERC1evFgHDx40LQNwKWrT17xqBfD48eNKSEjQsGHDqpQ/SRowYICGDRumhIQE3XnnnWratKkpGQF3d8UVV2jNmjVatWqVJk6cqL1796p3795nHcK2WCwKCgpSUFDQeS9n83uVxbE2pbHycW2K44kTJ3TixAn9/PPPNX6NJDVp0qRKIaxJeQwJCVGjRo1qtZ+6cODAAR0+fFiRkZFO2+fMmTN19913u+SdRiIjIzVnzhwdOHBAoaGhZscB6pVXFcDKwY958+ad8+fz5s1Tt27dGAgBLpHFYtFdd92lW265RZs2bVJUVFSd/Qf/zOIYHh5e49cZhqETJ07UeJWxctuvv/5aq+J48uRJnTx58qKKY21XG5s1a3ZJxbHycKezCmDv3r319ddf66OPPrqocw6Li4vPe8rEpar8PWzdulV33HFHve0HcAVeUwDPHPyo7l92oaGhDITgLIWFhfrss8+0fPlys6O4HavVqj//+c9mx5B0ujgGBgYqMDBQHTp0qPHrDMPQyZMnz1saq/tZbS4sXFkc8/Pza/W5KotjbQ9XN2rUSNnZ2WrZsqXat29/wf1UHqb9/vvvNXPmTH388cfy8/PTuHHjNHPmTO3bt0+PP/641q9fr8aNG2vy5MmKi4ur8h4PPPCAiouLNXPmTN11113n/UdB//79dfToUb399tuaOHGitm7dqpiYGD311FPq2LGjkpKSZLVaNX/+fB06dEh/+tOftHjxYrVv316zZ89Wamqqfv31V918881666231KxZswt+xrCwMLVo0ULZ2dkUQHg8ryiA5xr8qA4DIaioqFB2drbWrFmjNWvWaPPmzbUaVoBnsVgsCggIUEBAwEUVx9ocoq783hnFsXIlrW/fvrVanR06dKiuvPJKvfjii/r73/+u2bNnq1mzZkpNTdVNN92kl156ScuXL1d8fLyuvfZa9evXz/HaBg0aKDExUaNGjarRKuCvv/6qW2+9VQ888IBGjBih1q1bO362fPly2e12PfHEEzp27Jjmzp2r+++/XzfddJM2bNigp59+Wrm5uVq4cKHi4+P15ptvXvCzWSwWx/msgKfzigK4dOlSbdq0SevXr7/gtcR8fX31+uuv66abbtKyZcsYCPESBw8edBS+tWvX6tdffzU7EtzcmcXx97flO58zi2NtznGsbXEsLi6Wr6+vunTpUqvPdd111yk1NVWSFBMTo/DwcMXFxemFF17Q008/LUkaNmyYQkND9eabb1YpgJI0fPhwzZo1q0argIcOHVJKSorGjh3r2FZ5+aD9+/dr9+7djlsclpeX64UXXlBJSYm2bt2qhg1P/+ftyJEjWr58uRYtWlSjw+VdunTR559/XvNfCOCmPL4Anm/wozoMhHi+U6dO6YsvvnCUvh07dlT73G7dumnw4MHq3LmznnzySSemhDe6lOJYXFxcqxXHn376qdbn1I0ZM8bxfYMGDRQVFaV9+/Zp9OjRju1NmzZVt27d9OOPP571+spVwIceekirVq3SXXfdVe2+GjVqpEceeeScP7vvvvsc5U+S+vTpI0kaMWKEo/xVbs/MzNT+/fvVqVOnC36+ml7PEnB3Hl8ALzT4UR0GQjyLYRjavXu3Pv30U61Zs0YbNmxQcXHxOZ8bFBSkgQMHavDgwRo8eLDjsN+2bducGRmoFYvFoiZNmqhJkyYKCwur0WvCwsLOez/pc/l9KQ0ODpa/v/9Zl28JDg6udiX9wQcfdKwCDhkypNp9tWvXrtrL6pwrh6SzPnvl9oKCgmr3cyar1arS0tIaPRdwZx5dAGsy+FEdBkLcX2FhodatW+dY5avuzhMWi0VRUVGOwtenTx9uOwavYLfba33dwgYNGtRom1T9bQ4rVwEffvhhrV69utp9na+cVrfP2mb5PT8/v7PuYw14Io8tgLUZ/KgOAyHupaKiQtu2bXOs8p1veKNNmzaOwjdo0CBTLz4LmMXPz092u92UfY8YMUKzZ8/WjBkzXGri1m63m3JNRsDZPLYA1mbwozoMhLi+gwcPKisryzG8cfTo0XM+z8/PT3379nWUvh49erjkhWgBZ/L39zftfLczVwFdSUlJifz9/c2OAdQ7jyyAFzP4UR0GQlzLqVOn9O9//9txWPebb76p9rldu3Z1FL7+/fufdScKwNtZrdZqz4V1hspzAb/++mvTMvxeSUlJrc+LBNyRRxbAix38qA4DIeYxDEO5ublas2aNPv30U23YsEEnT54853MDAwOrDG/U5i4RgDcKCwvTnj17TNt/w4YNlZiYWO2krxlyc3NrPEQDuDWjBgoLCw1JRmFhYU2ebqrt27cbPj4+xvz58+v0fefNm2f4+PgYX3/9dZ2+L85WWFhofPTRR8a4ceOMjh07GpLO+WWxWIyoqChjypQpxsaNGw273V6vubKzsw1JRnZ2dr3ux93we3FfU6dONVq2bGlUVFSYHcUlVFRUGC1atDCmTZtmdhTgotSmr3nUCmBdDH5Uh4GQ+lNRUaHt27c7Vvk2b95c7b1X27Rpo5tvvlm33HKLBg4cqJYtWzo5LeA5IiMjdeTIEe3bt49VL0n5+fk6evSo0+6NDJjJowpgXQx+VIeBkLp16NChKsMbR44cOefzfH19qwxv9OzZk+ENoI5ERUVJkrKzsymAkuMWcJW/F8CTeUwBrMvBj+owEHLx7HZ7leGN8530ffnll1cZ3ggICHBeUMCLhIaGqnXr1srOzj7vBZm9RXZ2ttq0aVPr68YC7shjCmBdD35Uh4GQmjtzeGP9+vXnHd646aabdMstt2jw4MHq2LGjk5MC3slisSgyMtKx8uXtsrOzOfwLr+ERBfBS7vhRW9whpHpFRUVV7rxxrvuAVoqMjHSs8l1//fXceQMwSVRUlF5//fWLuiuIJzl16pS2bNmiCRMmmB0FcAq3L4D1OfhRHQZCTquoqNDXX3/tuPPGpk2bqh3eaN26tW6++WbHnTdatWrl5LQAzmXo0KGaOXOmVq5cqQceeMDsOKZZuXKlCgoKNHToULOjAE7h9gWwPgc/quPNAyGHDx92DG9kZWWdd3jjj3/8owYPHqxbbrlFPXv29NqiDLiy7t27q3///kpOTvbqApicnKwBAwboyiuvNDsK4BRuXQCdMfhRHW8ZCLHb7dq0aZPjXL7zDW906dLFcVh3wIABDG8AbiI2Nlb333+/cnJy1KNHD7PjON2OHTv0xRdf6IMPPjA7CuA0bl0AnTX4UR1PHQipHN5Ys2aN1q9frxMnTpzzeQEBAbrpppscpa9z585OTgqgLgwZMkRt2rTRokWLlJycbHYcp1u0aJHatm2rO++80+wogNO4bQF05uBHdc4cCHn00UfVu3dvU3JcqqKiIq1fv96xyne+4Y1rrrmmyvCGN580DngKX19fxcTEaMGCBXrxxRcVFBRkdiSnsdlsWrZsmeLj4xlGg1dxywJoxuBHdSoHQh5//HG3GQipHN6oXOXbtGmTysrKzvncVq1aOe68wfAG4Lmio6M1Z84cLV68WBMnTjQ7jtNkZGSotLRU0dHRZkcBnMotC6AZgx/VcZeBkF9++aXK8MYvv/xyzuedObwxePBg9erVyy1KLYBL0759e40ZM0bTpk3TXXfdpfDwcLMj1bu8vDw999xzGjNmjNq1a2d2HMCp3K4Amjn4UR1XHAix2+3avHmzY5Vv27Zt1T63c+fOjmnd/v37KzAw0IlJAbiKuXPn6h//+IfGjBmjtWvXevRtFw3D0OjRo9WsWTPNnTvX7DiA07ldATR78KM6rjAQsmfPHkfhW7duHcMbAGolKChIGRkZGjx4sNLS0jR27FizI9Wb1NRUrVu3TllZWV51ziNQya0KoCsMflSnPgZCPv30U8XGxqpz58765JNP1KhRoyo/P3HihGN4Y82aNcrNza32va6++mpH4bvhhhsY3gBwTjfffLOio6MVHx+vwYMHe+Sh4Ly8PE2ePFkxMTEaNGiQ2XEAU1gMwzAu9CSbzabg4GAVFhaa9i+liooK9e3bV4WFhdq+fbvp5/6dS1lZmXr37q2QkJBLHghZunSpRo8e7bizxvvvv6977rlHO3bscNx549///ne1wxstW7Z0FL5BgwapdevWF50Fp23btk2RkZF65513uFjsGb799luNGDFC2dnZuuaaa8yOgzpgs9kUERGhrl27etyhYMMwNHDgQOXm5ionJ4fVP3iUWvU1owYKCwsNSUZhYWFNnl4v3nrrLUOSsX79etMy1MS6desMScaSJUsu+j2SkpIMSVW+unTpYrRu3fqs7ZVfDRs2NG688Ubj+eefN7Kzs43y8vI6/FQwDMP44Ycfqv398yXjhx9+MPv/RKhDa9asMSQZiYmJZkepU1OmTDEkGVlZWWZHAepcbfqaW6wAHj9+XF27dtXAgQP17rvvOn3/tTV8+HB99tln+v7772s1EFJRUaG4uDi98sorNXp+p06ddMsttzjuvMHwRv3bvXu3ioqKzI5xUcrKyvSXv/xFv/76q3x8fPSPf/xDLVu2rJP3DgwM1OWXX14n7wXXkZSUpISEBM2fP1+TJk0yO84lmz9/vuLj45WUlKT4+Hiz4wB1zuNWAB9//HEjICDA2L9/vyn7r639+/cbAQEBxhNPPFGr11177bXnXWGxWq3G7bffbrz++uvG7t276yk9PNnUqVMd/3uaPn262XHgBp599llDkpGammp2lEuSmppqSDKmTJlidhSg3tSmr7l8Ady+fbvh4+NjzJ8/3+n7vhTz5s0zfHx8jO3bt9fo+YcOHbrgIba5c+fWb2h4vJ9//tnw8fExJBmhoaGG3W43OxJcXEVFhfHEE08Yktzu73ClefPmGZKMCRMmGBUVFWbHAepNbfqaS1/h15Xu+FFbEyZM0BVXXKHHH39cFRUVF3x+q1atLngT9vNdyw+oibCwMN1xxx2SpAMHDujjjz82ORFcncVi0auvvqpnn31WcXFxmjp1qowLnznkEgzDUGJiouLj4zVlyhS98sorHjXQAlwKly6AlXf8eP31111y6vd8Ku8Q8u9//1vLli274PMtFot27Nih4uJi/ec//1FKSopiYmIUFRXluGTLn//85/qODS8QGxvr+D45OdnEJHAXFotFc+bM0dy5czV79mwNGjRIe/fuNTvWeeXl5WngwIFVclP+gDPU9ZJiXSkoKDBatmxpDBs2rM7e87nnnjMkGUeOHDnnz6+66irjxhtvrLP9GYZhDBs2zGjVqpVRUFBw0e9ht9uNEydO1F0oeLXy8nLj8ssvd5xa8O2335odCW4kKyvLCAsLMwICAoyUlBSXO6RaUVFhLFq0yAgICDDCwsKY9oVX8YhDwK56x4/amjdvnoqLizVt2rSLfg9fX181adKkDlPBm/n4+GjcuHGOxykpKSamgbsZNGiQdu7cqeHDh2vcuHH685//7DKrgZWrfuPHj9fw4cO1c+dOLvQMVMMlC2DlHT9mzJjhcnf8qK3KO4S88cYb+vrrr82OA0iSHn74Yfn7+0uSlixZopMnT5qcCO4kKChIqampeuqpp7Rx40ZdeeWVWrBggWw2myl5bDabFixYoB49emj37t3KyspSamoqF3kGzsPlCqA7D35Up7YDIUB9a9asmYYNGyZJKiws1HvvvWdyIriboqIiZWZmqry8XCUlJUpISFC7du0UGxurnJwcp2TIycnR+PHjFRoaqoSEBD344IOs+gE15HIF0J0HP6pT24EQwBnGjx/v+D45OdltJjvhGl566SUdPnxYknTvvfcqLy9PkyZN0qpVq9SzZ0/169dP7733nux2e53u1263KzMzU3379lXPnj21evVqxcfHa+/evUpJSWHVD6ghl7oTSH3f8WP69OmaMWOGjhw5ohYtWpz184iICLVo0UIbNmyo831LF3+HEKC+XHvttdq6daskacuWLbruuutMTgR3kJ+fr65du6q0tFS+vr769ttv1blzZ0mn7zizevVqJScna/369WrWrJmuu+46RUZGOr7CwsJqNJFrGIby8/OVnZ3t+NqyZYsKCgo0YMAAxcbG6s477/SYxQLgUtWmrzV0UqYa8ZTBj+rMmzdP3bp107Rp0/Taa6+ZHQdQbGysHn30UUmnVwEpgKiJKVOmqLS0VJL0xBNPOMqfdPqIx7333qt7771Xu3bt0vvvv6+tW7dq8eLFmjNnjiSpRYsWioyMVJcuXWS1WmW1WuXn5ye73a6SkhKVlJQoNzdX2dnZOnr0qCSpTZs2ioyM1IQJE3T//fere/fuzv/ggAdxmRXAr7/+WpGRkUpKSqq3e07WZAWwZcuWWr9+fb3sXzp9L8qEhARlZ2erd+/e9bYfoCaKi4vVvn17FRQUqFGjRtq/f7+aN29udiy4sOzsbEVFRUk6fS5pbm6uQkJCLvg6wzB04MCBKqt5+fn5KikpUWlpqU6dOqVGjRrJ399fVqtVYWFhjhXDqKgotx8IBJzBLVcA33nnHfn5+VW5PEVdq5x6LCkpOefPi4uLHc+pL+PHj1diYqLeeecdCiBM17hxYz388MN6+eWXderUKb311luKj483OxZclGEYiouLczyeNm1ajcqfdPpi0u3atVO7du0cd6MBYB6XGQIZMWKE7HZ7vV6TrEOHDpKk77///qyfFRcXKz8/3/Gc+rJo0SLZ7XaNHDmyXvcD1NTvrwnIpDqq87e//U3/+te/JEldunSpMkgEwL24TAHs3bu3YmNj9dxzz+nAgQP1so8///nP8vPz06JFi876j1xaWpp+++033XrrrfWyb+n0vVenT5+uxx57TL169aq3/QC10bVrV8dlM/bs2aO1a9eanAiuqKysTAkJCY7Hc+fOddymEoD7cZkCKEmzZs2S1Wqtt0NQrVq10rRp07Ry5Ur169dPc+fO1euvv67hw4dr4sSJuvnmm3X77bfXy74lKT4+Xo0bN9bMmTPrbR/AxeD+wLiQlJQU/fDDD5Kkvn37asiQIeYGAnBJXGYIpNKSJUv0yCOPaP369erfv3+97GP58uV6/fXXlZOTo99++00dO3bUsGHD9PTTT6tRo0b1ss/169frpptu0pIlS/TQQw/Vyz6Ai1X5/wf79u2Tj4+PfvrpJ1122WVmx4KLKCgoUJcuXXTs2DFJ0ldffeUYBAHgOmrT11yuAFZUVKhv3746fvy4vv76a4+4vlNZWZl69+6tkJAQbdy4UT4+LrXwCkg6vQJfec/qKVOmaPbs2SYngquIj4/X/PnzJZ0+X5sL2gOuqTZ9zeWaiI+Pj9544w199913Wrhwodlx6sRrr72m7777Tm+88QblDy5rzJgxatjw9IUB0tPT6/wODnBPP/74o+Nvsb+/v55//nmTEwGoCy7ZRpwxEOIsDH7AXbRt21Z33XWXJOmXX37RypUrTU4EV/DXv/7V8Y+BSZMmKSwszOREAOqCyx0CrlTft4VzFm7/BneyYcMGDRgwQNLpE/03btxociKYadOmTfrjH/8o6fQQXW5urgIDA01OBaA6bn0IuFLTpk01d+5cZWZm1tu9eevb+vXrlZmZqblz51L+4BZuvPFGXXnllZKkzz//XDt37jQ5Eczy+4s+z5w5k/IHeBCXLYCSNGrUKN1www167LHHVFZWZnacWikrK9Pjjz+uP/7xj1z0GW7DYrFUuSTMokWLTEwDM73//vv68ssvJUndu3fX6NGjTU4EoC65dAF054EQBj/grkaOHKnGjRtLkpYuXaqioiKTE8HZSktL9de//tXxeN68eY4BIQCeweWbiTsOhDD4AXcWHBysESNGSJJOnDih5cuXm5wIzvbaa68pLy9PkjRo0CDdcsst5gYCUOdcdgjkTO42EMLgB9zd119/rauvvlqS1KNHD33zzTeyWCwmp4IzHDlyRF26dJHNZpOPj4++/vpr9ejRw+xYAGrAI4ZAzuROAyEMfsAT9O7dWzfccIMkKScnR//+979NTgRnmTFjhmw2myTp0UcfpfwBHsotVgAl97hDCHf8gCd55513HANMw4YNc4vVd1ya7777ThERESovL1eTJk2Um5urNm3amB0LQA153Aqg5B4DIQx+wJPce++9atGihSTpww8/1C+//GJyItS3hIQElZeXS5Kefvppyh/gwdyqpbjyQAiDH/A0/v7+jkt/lJWVafHixSYnQn1av369Pv74Y0lSu3btqlwDEIDncasCKJ2+Yb3ValV8fLzZUaqIj49X48aNNXPmTLOjAHVm7NixjuGPlJQUx+oQPEtFRUWVwjdnzhzHpYAAeCa3K4CuOBDC4Ac8VceOHXXrrbdKkn7++Wf94x//MDkR6sOyZcu0fft2SdLVV1/NxesBL+A2QyBncqWBEAY/4On+/ve/67bbbpMk3XrrrZRAD3Py5El17drVcVrNunXrHPeDBuBePHII5EyuNBDC4Ac83S233KLw8HBJ0qeffqo9e/aYGwh1av78+Y7yd/vtt1P+AC/hto3FFQZCGPyAN2jQoIHGjh0rSTIMQ6mpqSYnQl05ePCg5s6dK0lq2LChkpKSTE4EwFnctgBK5g+EMPgBb/Hoo4/Kz89PkvTmm2+qtLTU5ESoC1OnTtXJkyclSePGjVO3bt1MTgTAWdy6AJo5EMLgB7xJq1atdN9990mSfv31V33wwQcmJ8Kl2rFjh958801Jp+///Nxzz5mcCIAzueUQyJnMGAhh8APeaNOmTfrjH/8oSfrDH/6gzZs3m5wIF8swDA0ePFhr166VJM2dO1eTJ082ORWAS+XxQyBnMmMghMEPeKPrr79ePXv2lCR9+eWXjsuGwP18+umnjvIXHh6uJ554wuREAJzNI9qLMwdCGPyAt7JYLIqNjXU8XrRokYlpcLF+++23Khd9fvHFF+Xv729iIgBmcPtDwJWOHz+url27auDAgfV60/rhw4frs88+0/fff8+5f/A6J06cUGhoqIqKitS4cWPt37+f/z9wMykpKRo/fryk04fyN23a5LjbCwD35lWHgCs5YyCEwQ94u4CAAI0aNUqSVFxcrKVLl5qcCLVhs9k0bdo0x+P58+dT/gAv5TErgFL9DoQw+AGc9r//+7+KiIiQJF1xxRXatWsXJcJNPPvss3rhhRckSffdd5/ef/99kxMBqEteuQIo1e9ACIMfwGlXXXWVbrzxRknSd9995zL35Mb5/fzzz3r55ZclSX5+fnrxxRdNTgTATB7XZOpjIITBD6CqM4dBkpOTTUyCmnr22WcdF/CeMGGCOnXqZHIiAGbyqEPAlep6IITBD6Aqu92uyy67TIcPH1aDBg30888/KzQ01OxYqMZXX32l6667TpLUvHlz5ebm8rcM8EBeewi4Ul0OhDD4AZzNz89P0dHRkqTy8nKlp6ebnAjVMQyjymVfnnvuOf6WAfDMFUCpbgZCGPwAqpefn6/w8HBVVFQoNDRUeXl5TrkTD2pn5cqVuueeeyRJXbt21c6dO/m/E+ChvH4FUKqbgRAGP4DqhYWF6Y477pB0+jzZjz/+2ORE+D273a6nn37a8Xju3LmUPwCSPLgASpc2EMLgB3BhlRcUlhgGcUXJycnKzc2VJN14442Owg4AHnsIuNLFDoQw+AFcWEVFhbp16+YoGd999526detmcipI0rFjx9SlSxcVFBRIkrZu3arIyEiTUwGoTxwCPsPFDIQw+AHUjI+PT5VVwJSUFBPT4EyzZ892lL+RI0dS/gBU4fErgFLtBkIY/ABq59ixY2rXrp1KS0sVHBys/fv3q0mTJmbH8mq5ubnq3r27ysrKZLVa9f333yssLMzsWADqGSuAv1ObgRAGP4DaadasmR544AFJUmFhod577z2TE+Gvf/2rysrKJElxcXGUPwBn8YoVwEpPPPGElixZou+///6cF609cOCAunXrpkceeUSvvfaaCQkB93TmhYavueYabd26lfsDm+SLL75Q3759JUmtW7fW7t27FRgYaHIqAM7ACmA1Zs2aJavVqvj4+HP+PD4+Xo0bN9bMmTOdnAxwb9dee62ioqIkSdu2bdNXX31lciLvVFFRoUmTJjkez5o1i/IH4Jy8qgCebyCEwQ/g0nBJGPO99957jvIdERGhRx991OREAFyVVx0Cls49EMLgB3DpiouL1a5dOx0/flyNGjXS/v371bx5c7NjeY2SkhJdccUV+vnnnyVJn376qQYPHmxyKgDOxCHg8zjXQAiDH8Cla9y4sR555BFJ0qlTp/TWW2+ZnMi7vPrqq47yN3jwYMofgPPyuhXASpUDIevXr9eAAQMY/ADqwA8//OC4EHTnzp31ww8/8I8qJ/jll1/UpUsXFRUVycfHR998840iIiLMjgXAyVgBrIHKgZC+ffsy+AHUkcq77kjSnj17tHbtWpMTeYfp06erqKhIkjR69GjKH4AL8toC2LRpUyUlJam0tJTBD6AOxcbGOr5nGKT+ffvtt0pLS5MkBQQE8I9ZADXitQVQkkaNGqVvv/1Wo0aNMjsK4DFuv/12tWvXTpL0ySefOM5LQ/2YPHmyysvLJZ2+AHSbNm1MTgTAHXh1AbRYLLriiiu4YC1Qhxo2bKiYmBhJp6fuK1enUPf+53/+R3//+98lSe3bt9fEiRNNTgTAXXh1AQRQP8aMGaOGDRtKktLT02W3201O5HnKy8sVFxfnePz888+rcePGJiYC4E4ogADqXGhoqO666y5JpydUV65caXIiz/P2229rx44dkqTIyEg9+OCDJicC4E4ogADqxZnDIIsWLTIxiec5ceKEEhMTHY/nz5/P5XYA1Ap/MQDUixtvvFFXXnmlJGnjxo3auXOnyYk8x7x583Tw4EFJ0p133qkbb7zR5EQA3A0FEEC9sFgsVe4PzCpg3Thw4ICSkpIknR64mTt3rsmJALgjCiCAejNq1CjHYMLSpUsdFyvGxUtMTFRxcbEkafz48eratavJiQC4IwoggHoTHBysESNGSDp93try5ctNTuTevv76ay1ZskTS6d/ttGnTzA0EwG1RAAHUqzMPAycnJ6sGtx/HORiGobi4OMfvb+rUqWrRooXJqQC4KwoggHrVu3dvXX/99ZKknJwc/fvf/zY5kXv6+9//rnXr1kmSOnXqpMcff9zkRADcGQUQQL3j/sCXpqysTJMnT3Y8fvHFF9WoUSMTEwFwdxRAAPXu3nvvVfPmzSVJH374oX755ReTE7mX9PR0fffdd5KkG264Qffee6/JiQC4OwoggHrn7++v0aNHSzq9mrV48WKTE7mPwsJCPffcc47H8+fP5/7lAC4ZBRCAU4wdO9ZRXFJSUlReXm5yIvfwwgsv6OjRo5KkoUOH6g9/+IPJiQB4AgogAKfo1KmTbr31VknSzz//rH/+858mJ3J9eXl5euWVVyRJfn5+euGFF8wNBMBjUAABOM3vLwmD83v22Wd16tQpSdKTTz6pjh07mpwIgKewGDW4KJfNZlNwcLAKCwsVFBTkjFwAPFB5ebk6d+6svXv3ymKxaPfu3ercubPZsVzSf/7zH/Xp00eS1Lx5c+Xm5qpp06bmhgLg0mrT11gBBOA0DRo00Lhx4ySdvrBxamqqyYlck2EYmjRpkuPxjBkzKH8A6hQrgACc6pdfflFYWJjsdruaN2+uffv2yd/f3+xYLuW///u/HZd66datm3JycuTr62tyKgCujhVAAC6rVatWjnLz66+/6oMPPjA5kWs5deqUEhISHI+TkpIofwDqHAUQgNNxZ5DqvfHGG/rxxx8lSQMGDNBtt91mciIAnogCCMDpbrjhBvXs2VOS9OWXX2r79u0mJ3INv/76q2bNmiVJslgsXPQZQL2hAAJwOovFUuWSMIsWLTIxjeuYNWuWjh8/LkkaNWqUrr76anMDAfBYDIEAMEVRUZHatWunoqIiNW7cWPv37/fqSdfdu3ere/fu+u2332S1WrV79261a9fO7FgA3AhDIABcXmBgoEaNGiVJKi4u1tKlS01OZK6nn35av/32myQpPj6e8gegXrECCMA0//u//6uIiAhJ0hVXXKFdu3Z55TlvGzdu1I033ihJatOmjXbv3q2AgACTUwFwN6wAAnALV111lfr16ydJ+u6777RhwwZzA5mgoqJCcXFxjsezZs2i/AGodxRAAKby9kvCZGZmauvWrZKkHj166JFHHjE5EQBvwCFgAKay2+267LLLdPjwYTVo0EA///yzQkNDzY7lFCUlJerWrZvy8/MlSVlZWRo0aJDJqQC4Kw4BA3Abfn5+GjNmjCSpvLxc6enpJidynpdfftlR/m699VbKHwCnYQUQgOl+/vlndezYURUVFQoNDVVeXp7H3/7s8OHD6tKli06cOCEfHx/t2LFDV111ldmxALgxVgABuJXLLrtMt99+uyTpwIED+vjjj01OVP+ee+45nThxQpIUHR1N+QPgVBRAAC7Bm4ZB/vd//9dxqDsgIEAzZswwOREAb0MBBOASBg4cqM6dO0uSPvvsM33//fcmJ6o/kydPVkVFhSTpmWeeUevWrU1OBMDbUAABuAQfH58q9wdOSUkxMU39Wbt2rf75z39KksLCwjRx4kSTEwHwRhRAAC7j4Ycflr+/vyTprbfe0smTJ01OVLfKy8urXPT5+eefl9VqNTERAG9FAQTgMpo3b64HHnhAklRYWKj33nvP5ER1a8mSJcrJyZEkRUVFafjw4SYnAuCtKIAAXMqZh4GTk5NVgytVuYUTJ04oMTHR8Xj+/Pny8eFPMABz8NcHgEu59tprFRkZKUnatm2bvvrqK5MT1Y25c+fq0KFDkqS77rrLcQ9kADADBRCAS7FYLB53SZh9+/Zp3rx5kqSGDRvqpZdeMjkRAG9HAQTgch544AE1bdpUkvTee+/p119/NTfQJUpMTFRJSYkk6bHHHtPll19uciIA3o4CCMDlNG7cWA8//LAk6dSpU3rrrbfMDXQJtm/frqVLl0qSmjZtqmnTppmcCAAogABc1Lhx4xzfp6SkOC6c7E4Mw1BcXJxjkGXq1Klq1qyZyakAgAIIwEV169ZNAwcOlCTt2bNHa9euNTlR7X3yySdav369JKlTp0567LHHTE4EAKdRAAG4rN9fEsadlJWVafLkyY7HL730kho1amRiIgD4/yiAAFzWHXfcodDQUEmnV9N+/vlnkxPVXFpamuN+xn/84x91zz33mJwIAP4/CiAAl9WwYUONHTtWklRRUaG0tDSTE9VMYWGhpk+f7ng8f/58WSwW8wIBwO9QAAG4tDFjxqhhw4aSpPT0dNntdpMTXdjzzz+vo0ePSpKGDRumPn36mJwIAKqiAAJwaaGhoRoyZIgk6ZdfftHKlSvNDXQBP/30k1555RVJUqNGjfTCCy+YGwgAzoECCMDlnXlnkEWLFpmY5MKeeeYZxyrlU089pQ4dOpicCADOZjFqcKd1m82m4OBgFRYWKigoyBm5AMDBMAx1795d3333nSQpJydH3bt318mTJxUYGGhyuv/vyy+/1PXXXy9JatGihXJzcxUcHGxyKgDeojZ9jRVAAC7PYrFUuSRMdHS0OnXqpKCgIMfhVrMZhqFJkyY5Hs+YMYPyB8BlUQABuDzDMNS1a1c1aNBA0umVtr1790qSVq1aZVquEydOOIY9PvzwQ23evFmSdMUVVygmJsa0XABwIQ3NDgAA52MYhu6+++5qi55Zh4CLiorUtWtXHTp0SMOGDdMXX3zh+FlSUpJjchkAXBF/oQC4tJMnT2r16tXV/rx58+ZOTPP/ffnllzp06JAkKTMz07G9X79++stf/mJKJgCoKQ4BA3BpAQEBSkxMrPbnzZo1c2Ka/6+oqOic23fu3KmlS5c6OQ0A1A4FEIDLmzlzphYuXCgfn7P/ZJm1AnjixIlzbj927Jgefvhhffnll05OBAA1RwEE4BYef/xxffTRR2rcuHGV7b6+vqbkOXnyZLU/8/X1ZQIYgEvjHEAAbuOOO+7Qv/71L/Xv399RwM51KVPDMLR//35lZ2c7vvLz81VSUqLS0lLZ7Xb5+fnJ399fVqtVYWFhioyMVGRkpKKiohQaGnrBe/dWtwLYsWNHLVmyRFdeeeWlf2AAqCcUQABuJSoqSl9++aX+8pe/yGq16oknnpAk7dq1SytWrNDWrVuVnZ2tw4cPS5JatmypyMhI9evXT40bN5bVapWfn5/sdrtKSkpUXFysPXv2KCUlRUeOHJEktW7d2lEGhw4dqu7du5+V49tvvz1r27hx45SUlKSAgIB6/A0AwKXjTiAA3FZZWZlWrVql5ORkbdiwQc2aNVOfPn0cq3mRkZFq3779BVfzpNOrhvv27auyarhlyxYdO3ZM/fv3V2xsrIYMGeI45Hz77bfrk08+kSSFhIQoMzNTgwcPrtfPCwDnU5u+RgEE4Hb27duntLQ0paen69ChQ+rXr59iY2N11113yc/Pr872Y7fbtXLlSiUnJ+vzzz9X27ZtFR0drejoaBUXF+uWW25R27Zt9fHHH5s2jQwAlSiAADySzWZTQkKCMjIyZLVaNWrUKI0fP14RERH1vu+cnBwtWrRIy5YtU0lJicaMGaO5c+fyNxGAy6AAAvA4WVlZGjNmjAoKCjRz5kyNHj3alL9HNptNixcv1rRp0xQSEqKMjAzdfPPNTs8BAL9Xm77GZWAAuDSbzaaYmBgNHjxY3bp1086dOzVx4kTT/jEaFBSkiRMnKicnR127dtXgwYMVExMjm81mSh4AuBgUQAAuKysrSxEREcrMzFRKSoqysrLUoUMHs2NJksLDw7V27VqlpKQoMzNTERERysrKMjsWANQIBRCAS0pKSqqy6jd27NgaTfM6k8Vi0dixY6usBiYlJZkdCwAuiAIIwKUYhqFnn31WCQkJSkxMdKlVv+pUrgYmJiYqISFBU6ZMOecFqgHAVXAhaAAuwzAMPfnkk1q4cKEWLFigiRMnmh2pxiwWi2bNmqWQkBDFxcXpxIkTeuWVV1xu1RIAJAogABeSmJiohQsXKjU1VTExMWbHuSiTJk1SQECAxo4dq8DAQM2ePdvsSABwFgogAJeQlJSk559/XvPnz3fb8lcpJiZGRUVFio+PV3BwsCZPnmx2JACoggIIwHRZWVmOc/4mTZpkdpw6ERcXp4KCAiUkJKh3794aNGiQ2ZEAwIELQQMwlc1mU0REhLp166asrCyPOmfOMAwNHDhQu3fv1s6dO/n7CaBecSFoAG4jPj5eBQUFysjI8KjyJ50eDFm8eLEKCgo4DAzApVAAAZgmKytL6enpmjdvnstf6uVihYeHKykpSWlpaVq7dq3ZcQBAEoeAAZjEkw/9/h6HggE4A4eAAbi8hIQEjz30+3tnHgpOSEgwOw4AUAABON++ffuUkZGhmTNneuyh398LDw/XjBkzlJGRof3795sdB4CXowACcLr09HRZrVaNHj3a7ChONWbMGPn7+ys9Pd3sKAC8HAUQgFOVlZUpLS1NI0eO9Lpz4YKCgjRy5EilpaWprKzM7DgAvBgFEIBTrVq1SocOHdL48ePNjmKK8ePH6+DBg1q9erXZUQB4MaaAATjVgAEDVF5ero0bN5odxTR9+/aVr6+v1q1bZ3YUAB6EKWAALmnXrl3asGGDYmNjzY5iqtjYWK1fv17ffvut2VEAeCkKIACnWbFihZo1a6a7777b7CimuueeexQSEqIVK1aYHQWAl6IAAnCarVu3qk+fPvLz8zM7iqn8/PzUp08fbd261ewoALwUBRCAUxiGoezsbEVGRtbL+2/YsEEWi0UWi0XZ2dln/fzhhx9WQEBAvez7YkRGRp4zJwA4AwUQgFMcOHBAhw8frrcCeKbp06fX+z4uVWRkpA4dOqQDBw6YHQWAF6IAAnCKysOd9V0Ae/furU8++UTbtm2r9WsNw1BJSUk9pDpb5e+Bw8AAzEABBOAU2dnZatmypdq3b1+r1+3du1exsbHq1q2brFarmjdvrvvuu095eXnnfP4TTzyhkJCQGq0ChoeH67bbbtOaNWsUFRUlq9Wq1NRUx+Hk999/XzNmzFC7du0UGBioe++9V4WFhTp16pSeeuoptWrVSgEBAXrkkUd06tSpWn2usLAwtWjRgsPAAEzR0OwAALxD5fl/FoulVq/76quvtGnTJj3wwANq37698vLytGjRIvXv31+7du1S48aNqzw/KChIEydO1LRp07Rt2zZdc801533/77//XsOGDdPYsWMVHR2tbt26OX72wgsvyGq16q9//atyc3O1cOFC+fr6ysfHRwUFBZo+fbq+/PJLLVmyRB07dtS0adNq/LksFgvnAQIwDQUQgFPk5+erX79+tX7dX/7yF917771Vtt1+++26/vrr9d///d8aOXLkWa+ZMGGCXn75Zc2YMeOCd9zIzc3Vp59+qsGDBzu2bdiwQZL022+/6V//+pd8fX0lSUeOHNF7772nW265Rf/4xz8knb6mX25urt58881aFUBJ6tKliz7//PNavQYA6gKHgAE4RUlJyVmrdTVhtVod35eVlenXX39Vly5d1LRp02rP8wsODtZTTz2lv/3tb9q+fft5379jx45Vyt+ZRo0a5Sh/ktSnTx8ZhqFHH320yvP69Omj/Px8/fbbbzX9WJJOfzZnnXMIAGeiAAJwitLS0iplrqZKSko0bdo0hYWFqVGjRmrRooVatmyp48ePq7CwsNrXPfnkk2ratOkFzwXs2LFjtT+77LLLqjwODg6WdPr8vd9vr6ioOG+ec7FarSotLa3VawCgLnAIGIBT2O32i7oA9BNPPKG33npLTz31lK6//noFBwfLYrHogQceUEVFRbWvq1wFnD59+nlXAc9XShs0aFCr7TW4tXoVfn5+tR4eAYC6QAEE4BR+fn6y2+21ft2HH36ohx56SPPnz3dsKy0t1fHjxy/42qeeekqvvPKKZsyYoaZNm9Z63/XNbrerUaNGZscA4IU4BAzAKfz9/S/qfLcGDRqctbK2cOFClZeXX/C1lauAq1ev1tdff13rfde3kpIS+fv7mx0DgBdiBRCAU1itVhUXF9f6dbfddpuWLVum4OBgde/eXZs3b9b//M//qHnz5jV6/ZNPPqmXX35Z33zzjZo0aVLr/denkpKSizovEgAuFSuAAJwiLCxMe/bsqfXrXn31VY0aNUrLly9XXFycDh48qP/5n/+p8X19mzZtqqeeeqrW+3WG3NzcswZKAMAZLEYNzlq22WwKDg5WYWGhgoKCnJELgIeZNm2aUlJSdPjw4VpfDNoTGYahVq1aKTY2VjNmzDA7DgAPUJu+xgogAKeIjIzUkSNHtG/fPrOjuIT8/HwdPXq03u+NDADnQgEE4BRRUVGSxK3P/k/l76Hy9wIAzkQBBOAUoaGhat26NQXw/2RnZ6tNmzYKDQ01OwoAL0QBBOAUFotFkZGRFMD/k52dzeFfAKahAAJwmqioKG3ZsuWiLgjtSU6dOqUtW7Zw+BeAaSiAAJxm6NChOnbsmFauXGl2FFOtXLlSBQUFGjp0qNlRAHgpLgMDwKkGDBig8vJybdy40ewopunbt698fX21bt06s6MA8CBcBgaAy4qNjdXnn3+unJwcs6OYYseOHfriiy8UGxtrdhQAXowCCMCphgwZojZt2mjRokVmRzHFokWL1LZtW915551mRwHgxSiAAJzK19dXMTExWrZsmWw2m9lxnMpms2nZsmWKiYmRr6+v2XEAeDEKIACni46OVklJiRYvXmx2FKfKyMhQaWmpoqOjzY4CwMtRAAE4Xfv27TVmzBhNmzZNeXl5Zsdxiry8PD333HMaM2aM2rVrZ3YcAF6OKWAAprDZbIqIiFDXrl21du1aWSwWsyPVG8MwNHDgQOXm5ionJ4e/owDqBVPAAFxeUFCQMjIy9NlnnyktLc3sOPUqNTVV69atU0ZGBuUPgEugAAIwzc0336zo6GjFx8d77KHgvLw8TZ48WTExMRo0aJDZcQBAEoeAAZjMkw8Fc+gXgDNxCBiA2zjzUPC0adPMjlOnpk6dyqFfAC6JAgjAdDfffLPmzp2r2bNna8GCBWbHqRPz58/XnDlzlJSUxKFfAC6nodkBAECSJk+erOPHjysuLk4BAQGKiYkxO9JFS0tLU3x8vKZMmaL4+Hiz4wDAWSiAAFzG7NmzVVRUpLFjx+rEiROaNGmS2ZFqbf78+YqPj9eECRM0a9Yss+MAwDlRAAG4DIvFoldffVWBgYGKi4tTQUGBZs6c6RaDIYZhaOrUqZozZ46mTJmiWbNmuUVuAN6JAgjApVgsFs2ZM0dNmzZVQkKCNm/erMWLF6tDhw5mR6tWXl6eRo8erXXr1mnu3LmaPHmy2ZEA4LwYAgHgkiZPnqysrCz98MMPioiIUGpqqmpw1SqnMgxDKSkp6tGjh3bv3q2srCzKHwC3QAEE4LIGDRqknTt3avjw4Ro3bpwGDRqkvXv3mh1L0ulVv4EDB2r8+PEaPny4du7cybQvALdBAQTg0oKCgpSamlplNXDBggWy2Wym5LHZbFqwYEGVVb/U1FSu8wfArVAAAbiFytXABx98UAkJCWrXrp1iY2OVk5PjlP3n5ORo/PjxCg0NVUJCgh588EFW/QC4LQogALcRFBSklJQU5eXladKkSVq1apV69uypfv366b333pPdbq/T/dntdmVmZqpv377q2bOnVq9erfj4eO3du1cpKSms+gFwW9wLGIDbKisr0+rVq5WcnKz169erWbNmuu666xQZGen4CgsLq9HlWAzDUH5+vrKzsx1fW7ZsUUFBgQYMGKDY2Fjdeeed8vX1dcInA4Daq01fowAC8Ai7du3S+++/r61btyo7O1uHDh2SJDVt2lTXXXedLr/8clmtVlmtVvn5+clut6ukpEQlJSXKzc1Vdna2jh49Kklq06aNIiMjFRUVpfvvv1/du3c386MBQI1QAAF4NcMw9MEHH2jo0KGSpE6dOikgIEAlJSUqLS3VqVOn1KhRI/n7+8tqtSosLMyxYhgVFaXQ0FCTPwEA1F5t+hoXggbgcSwWiwoKChyPJ0+erHHjxpmYCABcC0MgADzSDz/84Pi+W7duJiYBANdDAQTgkb7//nvH9127djUxCQC4HgogAI9UuQLYuHFjzukDgN+hAALwOGVlZfrxxx8lnV79q8llYADAm1AAAXicn376SeXl5ZI4/AsA50IBBOBxzjz/jwEQADgbBRCAxzlzApgVQAA4GwUQgMehAALA+VEAAXgcCiAAnB8FEIDHqSyArVq1UtOmTc0NAwAuiAIIwKMUFRXpwIEDklj9A4DqUAABeJTdu3c7vqcAAsC5UQABeBTO/wOAC6MAAvAoFEAAuDAKIACPcmYB5CLQAHBuFEAAHqXyLiAWi0WdO3c2OQ0AuCYKIACPYRiGYwUwPDxcjRo1MjkRALgmCiAAj/HLL7/IZrNJ4vw/ADgfCiAAj8EACADUDAUQgMeoPP9PYgAEAM6HAgjAY7ACCAA1QwEE4DEogABQMxRAAB6jsgD6+/srLCzM5DQA4LoogAA8Qnl5uXJzcyVJl19+uXx8+PMGANXhLyQAj5CXl6eysjJJHP4FgAuhAALwCJz/BwA1RwEE4BEogABQcxRAAB6BAggANUcBBOARuAg0ANQcBRCAR6hcAWzWrJmaN29uchoAcG0UQABur7i4WPn5+ZI4/AsANUEBBOD2Kq//J1EAAaAmKIAA3B4DIABQOxRAAG6PARAAqB0KIAC3xwogANQOBRCA2zuzAHbp0sXEJADgHiiAANxeZQEMCwtT48aNTU4DAK6PAgjArf366686duyYJM7/A4CaogACcGtnDoBw/h8A1AwFEIBbYwAEAGqPAgjArVEAAaD2KIAA3BoFEABqjwIIwK1VngPo6+ur8PBwc8MAgJugAAJwWxUVFdq9e7ek09f/a9CggcmJAMA9UAABuK38/HydOnVKEod/AaA2KIAA3Bbn/wHAxaEAAnBbFEAAuDgUQABu68yLQHMXEACoOQogALfFCiAAXBwKIAC3VVkAg4KC1KpVK5PTAID7oAACcEunTp1SXl6epNOrfxaLxdxAAOBGKIAA3NKePXtkGIYkzv8DgNqiAAJwS2cOgHD+HwDUDgUQgFtiAAQALh4FEIBbogACwMWjAAJwS2cWwMsvv9zEJADgfiiAANxS5TmAoaGhCgwMNDkNALgXCiAAt1NQUKAjR45I4vAvAFwMCiAAt7N7927H9xRAAKg9CiAAt8MACABcGgogALdzZgHkItAAUHsUQABuh4tAA8CloQACcDuVK4ANGjRQx44dTU4DAO6HAgjArRiG4SiAnTp1kq+vr8mJAMD9UAABuJUDBw6ouLhYEod/AeBiUQABuBUGQADg0lEAAbgVBkAA4NJRAAG4Fa4BCACXjgIIwK1QAAHg0lEAAbiVygLYpEkThYaGmpwGANwTBRCA27Db7frxxx8lSZdffrksFovJiQDAPVEAAbiNn376SeXl5ZKYAAaAS0EBBOA2OP8PAOoGBRCA26AAAkDdoAACcBtcBBoA6gYFEIDbOPMi0JdffrmJSQDAvVEAAbiNyhXAVq1aqWnTpuaGAQA3RgEE4BaKiop08OBBSZz/BwCXigIIwC3s3r3b8T0FEAAuDQUQgFtgAAQA6g4FEIBbOHMAhBVAALg0FEAAboFrAAJA3aEAAnALlQXQYrGoc+fOJqcBAPdGAQTg8gzDcBTA8PBwNWrUyOREAODeKIAAXN7hw4dls9kkMQACAHWBAgjA5XH+HwDULQogAJdHAQSAukUBBODyKIAAULcogABcHgUQAOoWBRCAy6u8CLS/v7/CwsJMTgMA7o8CCMCl/fbbb9qzZ48k6fLLL5ePD3+2AOBS8ZcUgEvbu3evysrKJHH4FwDqCgUQgEvj/D8AqHsUQAAu7cwCyEWgAaBuUAABuLTKARCJFUAAqCsUQAAujUPAAFD3KIAAXFplAWzWrJmaN29uchoA8AwUQAAuq7i4WPn5+ZJY/QOAukQBBOCycnNzHd8zAAIAdYcCCMBlMQACAPWDAgjAZTEAAgD1gwIIwGVRAAGgflAAAbisMwtgly5dTEwCAJ6FAgjAJRmG4TgH8LLLLlPjxo1NTgQAnoMCCMAl/frrryooKJDE4V8AqGsUQAAuifP/AKD+UAABuCQKIADUHwogAJdEAQSA+kMBBOCSzrwINHcBAYC6RQEE4JIqVwB9fX3VoUMHk9MAgGehAAJwORUVFdq9e7ek09f/a9CggcmJAMCzUAABuJz8/HydOnVKEuf/AUB9oAACcDlnDoBw/h8A1D0KIACXc+YACCuAAFD3KIAAXA6XgAGA+kUBBOByKIAAUL8ogABcTmUBDAoKUqtWrUxOAwCehwIIwKWcOnVKeXl5kk4PgFgsFnMDAYAHogACcCm5ubkyDEMSh38BoL5QAAG4FM7/A4D6RwEE4FIogABQ/yiAAFwKBRAA6h8FEIBL4SLQAFD/KIAAXErlCmBoaKgCAgJMTgMAnokCCMBlFBQU6MiRI5JY/QOA+kQBBOAydu/e7fieAggA9YcCCMBlMAACAM5BAQTgMs4cAOnWrZuJSQDAs1EAAbgMVgABwDkogABcRmUBbNCggTp27GhyGgDwXBRAAC7BMAxHAezUqZN8fX1NTgQAnosCCMAlHDhwQMXFxZI4/w8A6hsFEIBL4A4gAOA8Dc0OAMC7nTx5UkVFRRRAAHAiCiAA0+zYsUN/+MMfVFJSIj8/P8f2TZs2qUWLFrrjjjs4FxAA6gGHgAGY5ptvvlFJSYkkyW63O7YvXbpU9957r8aPH29WNADwaBRAAKa58cYbz/vzEydOOCkJAHgXCiAA01x22WW69tprz/mzxo0ba+bMmU5OBADegQIIwFT33nvvObcvWLCAYRAAqCcUQACmuueee87adttttykmJsaENADgHSiAAEzVuXNnhYaGOh4HBgYqIyNDFovFxFQA4NkogABMd+YwyPz589W6dWsT0wCA5+M6gABM9/bbbysgIEBXXnmloqOjzY4DAB6PAgjAdL6+vkpLSzM7BgB4DQoggDpnGIb279+v7Oxsx1d+fr5KSkpUWloqu90uPz8/+fv7y2q1KiwsTJGRkYqMjFRUVJRCQ0M5BxAA6hEFEECd2LVrl1asWKGtW7cqOztbhw8fliS1bNlSkZGR6tevnxo3biyr1So/Pz/Z7XaVlJSouLhYe/bsUUpKio4cOSJJat26taMMDh06VN27dzfzowGAx7EYhmFc6Ek2m03BwcEqLCxUUFCQM3IBcANlZWVatWqVkpOTtWHDBjVr1kx9+vRxrOZFRkaqffv2NVrNMwxD+/btq7JquGXLFh07dkz9+/dXbGyshgwZwr2BAaAatelrFEAAtbZv3z6lpaUpPT1dhw4dUr9+/RQbG6u77rpLfn5+dbYfu92ulStXKjk5WZ9//rnatm2r6OhoRUdHq3379nW2HwDwBBRAAPXCZrMpISFBGRkZslqtGjVqlMaPH6+IiIh633dOTo4WLVqkZcuWqaSkRGPGjNHcuXP5mwQA/4cCCKDOZWVlacyYMSooKNDMmTM1evRoU/4e2Gw2LV68WNOmTVNISIgyMjJ08803Oz0HALia2vQ1LgQN4LxsNptiYmI0ePBgdevWTTt37tTEiRNN+8dgUFCQJk6cqJycHHXt2lWDBw9WTEyMbDabKXkAwB1RAAFUKysrSxEREcrMzFRKSoqysrLUoUMHs2NJksLDw7V27VqlpKQoMzNTERERysrKMjsWALgFCiCAc0pKSqqy6jd27FiXuzafxWLR2LFjq6wGJiUlmR0LAFweBRBAFYZh6Nlnn1VCQoISExNdatWvOpWrgYmJiUpISNCUKVNUg9ObAcBrcSFoAA6GYejJJ5/UwoULtWDBAk2cONHsSDVmsVg0a9YshYSEKC4uTidOnNArr7zicquWAOAKKIAAHBITE7Vw4UKlpqYqJibG7DgXZdKkSQoICNDYsWMVGBio2bNnmx0JAFwOBRCApNPn/D3//POaP3++25a/SjExMSoqKlJ8fLyCg4M1efJksyMBgEuhAAJQVlaW45y/SZMmmR2nTsTFxamgoEAJCQnq3bu3Bg0aZHYkAHAZXAga8HI2m00RERHq1q2bsrKyPOqcOcMwNHDgQO3evVs7d+7k7xcAj8aFoAHUWHx8vAoKCpSRkeFR5U86PRiyePFiFRQUcBgYAM5AAQS8WFZWltLT0zVv3jyXv9TLxQoPD1dSUpLS0tK0du1as+MAgEvgEDDgpTz50O/vcSgYgDfgEDCAC0pISPDYQ7+/d+ah4ISEBLPjAIDpKICAF9q3b58yMjI0c+ZMjz30+3vh4eGaMWOGMjIytH//frPjAICpKICAF0pPT5fVatXo0aPNjuJUY8aMkb+/v9LT082OAgCmogACXqasrExpaWkaOXKk150LFxQUpJEjRyotLU1lZWVmxwEA01AAAS+zatUqHTp0SOPHjzc7iinGjx+vgwcPavXq1WZHAQDTMAUMeJkBAwaovLxcGzduNDuKafr27StfX1+tW7fO7CgAUGeYAgZwTrt27dKGDRsUGxtrdhRTxcbGav369fr222/NjgIApqAAAl5kxYoVatasme6++26zo5jqnnvuUUhIiFasWGF2FAAwBQUQ8CJbt25Vnz595Ofnd8HnTp8+XRaLRUePHnVCMufy8/NTnz59tHXrVrOjAIApKICAlzAMQ9nZ2YqMjKzT9w0PD5fFYtETTzxx1s82bNggi8WiDz/8sE73WZ3p06crPDy8Rs+NjIxUdnZ2/QYCABdFAQS8xIEDB3T48OE6L4CV0tPTdeDAgXp57/oQGRmpQ4cOuVVmAKgrFEDAS1Qe7qyPAnjVVVepvLxcL7744kW9/uTJk3Wc6MIqfw8cBgbgjSiAgJfIzs5Wy5Yt1b59+1q97ujRo7r//vsVFBSk5s2b68knn1RpaWmV54SHh2vUqFE1WgWsPLdw165dGj58uEJCQvSnP/3J8T633XabNmzYoKioKFmtVvXo0UMbNmyQJK1cuVI9evSQv7+/IiMjtX379lp9ljOFhYWpRYsWHAYG4JUogICXqDz/z2Kx1Op1999/v0pLS/XCCy/ov/7rv/Taa68pJibmrOdNmTJFv/32W41XAe+77z4VFxfr+eefV3R0tGN7bm6uhg8frttvv10vvPCCCgoKdPvtt2v58uWaOHGiRowYoRkzZmjPnj26//77VVFRUavPU8lisXAeIACv1dDsAACcIz8/X/369av16zp27Oi4a8Zjjz2moKAgJScnKz4+Xj179nQ8r1OnTho5cqTS09P1zDPPqG3btud93169eundd989a/v333+vTZs26frrr5ckde/eXYMHD1Z0dLS+++47XXbZZZKkkJAQjR07Vhs3blT//v0lnV5dnD59eo0/W5cuXfT555/X+PkA4ClYAQS8RElJiRo3blzr1z322GNVHldO+/7jH/8467mJiYk1XgUcN27cObd3797dUf4kqU+fPpKkm266yVH+ztz+448/XnBf1bFarSopKbno1wOAu6IAAl6itLRUVqu11q+7/PLLqzzu3LmzfHx8lJeXd9ZzK1cB09LSdPDgwfO+b8eOHc+5/cySJ0nBwcGSTp+zd67tBQUF593P+Vit1rPOZwQAb0ABBLyE3W6v0QWgL+RC5xBWngv40ksvnfd51ZXRBg0a1Gp7DW5nXi0/Pz+dOnXqol8PAO6KAgh4CT8/P9nt9lq/bvfu3VUe5+bmqqKiotoLLnfu3FkjRoxQamrqBVcBzWa329WoUSOzYwCA01EAAS/h7+9/Uee7vfHGG1UeL1y4UJJ06623VvuaxMRElZWVae7cubXenzOVlJTI39/f7BgA4HRMAQNewmq1qri4uNav++mnn3THHXfolltu0ebNm/XOO+9o+PDh6tWrV7WvqVwFfPvtty8lcr0rKSm5qPMiAcDdsQIIeImwsDDt2bOn1q9bsWKFGjVqpL/+9a/6+9//rscff1yLFy++4OsSExOrPW/PVeTm5p41XAIA3sBi1OAMapvNpuDgYBUWFiooKMgZuQDUsWnTpiklJUWHDx+u9cWgPZFhGGrVqpViY2M1Y8YMs+MAwCWrTV9jBRDwEpGRkTpy5Ij27dtndhSXkJ+fr6NHj9bLvZEBwNVRAAEvERUVJUnc+uz/VP4eKn8vAOBNKICAlwgNDVXr1q0pgP8nOztbbdq0UWhoqNlRAMDpKICAl7BYLIqMjKQA/p/s7GwO/wLwWhRAwItERUVpy5YtF3VBaE9y6tQpbdmyhcO/ALwWBRDwIkOHDtWxY8e0cuVKs6OYauXKlSooKNDQoUPNjgIApuAyMICXGTBggMrLy7Vx40azo5imb9++8vX11bp168yOAgB1hsvAAKhWbGysPv/8c+Xk5JgdxRQ7duzQF198odjYWLOjAIBpKICAlxkyZIjatGmjRYsWmR3FFIsWLVLbtm115513mh0FAExDAQS8jK+vr2JiYrRs2TLZbDaz4ziVzWbTsmXLFBMTI19fX7PjAIBpKICAF4qOjlZJSUmN7unrSTIyMlRaWqro6GizowCAqSiAgBdq3769xowZo2nTpikvL8/sOE6Rl5en5557TmPGjFG7du3MjgMApmIKGPBSNptNERER6tq1q9auXSuLxWJ2pHpjGIYGDhyo3Nxc5eTk8HcMgEdiChjABQUFBSkjI0OfffaZ0tLSzI5Tr1JTU7Vu3TplZGRQ/gBAFEDAq918882Kjo5WfHy8xx4KzsvL0+TJkxUTE6NBgwaZHQcAXAKHgAEv58mHgjn0C8CbcAgYQI2deSh42rRpZsepU1OnTuXQLwCcAwUQgG6++WbNnTtXs2fP1oIFC8yOUyfmz5+vOXPmKCkpiUO/APA7Dc0OAMA1TJ48WcePH1dcXJwCAgIUExNjdqSLlpaWpvj4eE2ZMkXx8fFmxwEAl0MBBOAwe/ZsFRUVaezYsTpx4oQmTZpkdqRamz9/vuLj4zVhwgTNmjXL7DgA4JIogAAcLBaLXn31VQUGBiouLk4FBQWaOXOmWwyGGIahqVOnas6cOZoyZYpmzZrlFrkBwAwUQABVWCwWzZkzR02bNlVCQoI2b96sxYsXq0OHDmZHq1ZeXp5Gjx6tdevWae7cuZo8ebLZkQDApTEEAuCcJk+erKysLP3www+KiIhQamqqanDVKKcyDEMpKSnq0aOHdu/eraysLMofANQABRBAtQYNGqSdO3dq+PDhGjdunAYNGqS9e/eaHUvS6VW/gQMHavz48Ro+fLh27tzJtC8A1BAFEMB5BQUFKTU1tcpq4IIFC2Sz2UzJY7PZtGDBgiqrfqmpqVznDwBqgQIIoEYqVwMffPBBJSQkqF27doqNjVVOTo5T9p+Tk6Px48crNDRUCQkJevDBB1n1A4CLRAEEUGNBQUFKSUlRXl6eJk2apFWrVqlnz57q16+f3nvvPdnt9jrdn91uV2Zmpvr27auePXtq9erVio+P1969e5WSksKqHwBcJO4FDOCilZWVafXq1UpOTtb69evVrFkzXXfddYqMjHR8hYWF1ehyLIZhKD8/X9nZ2Y6vLVu2qKCgQAMGDFBsbKzuvPNO+fr6OuGTAYD7qU1fowACqBO7du3S+++/r61btyo7O1uHDh2SJLVo0UKRkZHq0qWLrFarrFar/Pz8ZLfbVVJSopKSEuXm5io7O1tHjx6VJLVp00aRkZGKiorS/fffr+7du5v50QDALVAAAZjKMAwdOHCgympefn6+SkpKVFpaqlOnTqlRo0by9/eX1WpVWFiYY8UwKipKoaGhZn8EAHA7FEAAAAAvU5u+xhAIAACAl6EAAgAAeBkKIAAAgJehAAIAAHgZCiAAAICXoQACAAB4GQogAACAl6EAAgAAeBkKIAAAgJehAAIAAHgZCiAAAICXoQACAAB4GQogAACAl6EAAgAAeBkKIAAAgJdpWJMnGYYhSbLZbPUaBgAAABensqdV9rbzqVEBLCoqkiSFhYVdQiwAAADUt6KiIgUHB5/3ORajBjWxoqJCBw4cUGBgoCwWS50FBAAAQN0wDENFRUUKDQ2Vj8/5z/KrUQEEAACA52AIBAAAwMtQAAEAALwMBRAAAMDLUAABAAC8DAUQAADAy1AAAQAAvAwFEAAAwMv8P2CsqXrZmDwsAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "draw_frame_model(frame_model_A)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "430c58ba", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.297415Z", + "iopub.status.busy": "2024-07-11T15:30:51.297234Z", + "iopub.status.idle": "2024-07-11T15:30:51.300732Z", + "shell.execute_reply": "2024-07-11T15:30:51.300263Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "isinstance(\n", + " list(frame_model_A.frames.var(\"bNrm\").parents.values())[0],\n", + " BackwardFrameReference,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "6430ea1c", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.302058Z", + "iopub.status.busy": "2024-07-11T15:30:51.301890Z", + "iopub.status.idle": "2024-07-11T15:30:51.305046Z", + "shell.execute_reply": "2024-07-11T15:30:51.304588Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{('bNrm',): }" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "frame_model_A.frames.var(\"aNrm\").children" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "e031ba38", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.306374Z", + "iopub.status.busy": "2024-07-11T15:30:51.306194Z", + "iopub.status.idle": "2024-07-11T15:30:51.309245Z", + "shell.execute_reply": "2024-07-11T15:30:51.308784Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "frame_model_A.infinite" + ] + }, + { + "cell_type": "markdown", + "id": "c425cd0d", + "metadata": {}, + "source": [ + "## Modifying the model\n", + "\n", + "-- To refactor to use standalone models" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "36a87446", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.310618Z", + "iopub.status.busy": "2024-07-11T15:30:51.310449Z", + "iopub.status.idle": "2024-07-11T15:30:51.421905Z", + "shell.execute_reply": "2024-07-11T15:30:51.421397Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "draw_frame_model(frame_model_A.make_terminal())" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "39fa6959", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.423514Z", + "iopub.status.busy": "2024-07-11T15:30:51.423278Z", + "iopub.status.idle": "2024-07-11T15:30:51.572857Z", + "shell.execute_reply": "2024-07-11T15:30:51.572359Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "double_model = frame_model_A.prepend(frame_model_A)\n", + "draw_frame_model(double_model, figsize=(8, 12))" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "456c2bbd", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.574536Z", + "iopub.status.busy": "2024-07-11T15:30:51.574287Z", + "iopub.status.idle": "2024-07-11T15:30:51.711871Z", + "shell.execute_reply": "2024-07-11T15:30:51.711396Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "double_model = frame_model_A.make_terminal().prepend(frame_model_A)\n", + "draw_frame_model(double_model, figsize=(8, 12))" + ] + }, + { + "cell_type": "markdown", + "id": "95361006", + "metadata": {}, + "source": [ + "## repeat()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "3a9bdddc", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.713616Z", + "iopub.status.busy": "2024-07-11T15:30:51.713374Z", + "iopub.status.idle": "2024-07-11T15:30:51.888086Z", + "shell.execute_reply": "2024-07-11T15:30:51.887557Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "repeat_model = frame_model_A.repeat({\"bNrm\": {\"Rfree\": [1.01, 1.03, 1.02]}})\n", + "draw_frame_model(repeat_model, figsize=(8, 18))" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "50fa976b", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.889734Z", + "iopub.status.busy": "2024-07-11T15:30:51.889503Z", + "iopub.status.idle": "2024-07-11T15:30:51.892886Z", + "shell.execute_reply": "2024-07-11T15:30:51.892371Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "1.03" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "repeat_model.frames.var(\"bNrm_1\").context[\"Rfree\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "46df498f", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.894391Z", + "iopub.status.busy": "2024-07-11T15:30:51.894167Z", + "iopub.status.idle": "2024-07-11T15:30:51.897423Z", + "shell.execute_reply": "2024-07-11T15:30:51.896932Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{}" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "repeat_model.frames.var(\"aNrm_2\").children" + ] + }, + { + "cell_type": "markdown", + "id": "ee7f196c", + "metadata": {}, + "source": [ + "## Trying again at a solver ...." + ] + }, + { + "cell_type": "markdown", + "id": "7ec1ea98", + "metadata": {}, + "source": [ + "- [ ] Create grid of state values with a 'forward simulation' with dummy strategies\n", + "- [ ] For each control variable, backwards:\n", + " - [ ] Create objective function $f$ summing:\n", + " - [ ] Direct rewards of (a, s)\n", + " - [ ] Weighted expected value of (a,s)\n", + " - [ ] Over a grid of state values in the control variable's scope:\n", + " - [ ] Find optimal a* for s given $f$\n", + " - [ ] Using (s, a*) pairs:\n", + " - [ ] Interpolate\n", + " - [ ] Into a decision rule\n", + "- [ ] When all the decision rules are done, forward simulate.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "e60e0e50", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.898853Z", + "iopub.status.busy": "2024-07-11T15:30:51.898617Z", + "iopub.status.idle": "2024-07-11T15:30:51.900929Z", + "shell.execute_reply": "2024-07-11T15:30:51.900473Z" + } + }, + "outputs": [], + "source": [ + "model = frame_model_A" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "7a49ded9", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.902413Z", + "iopub.status.busy": "2024-07-11T15:30:51.902194Z", + "iopub.status.idle": "2024-07-11T15:30:51.905422Z", + "shell.execute_reply": "2024-07-11T15:30:51.904956Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "FrameSet([(('bNrm',),\n", + " <, target:('bNrm',), scope:('aNrm',)>),\n", + " (('mNrm',),\n", + " <, target:('mNrm',), scope:('bNrm', 'TranShk')>),\n", + " (('cNrm',),\n", + " <, target:('cNrm',), scope:('mNrm',)>),\n", + " (('U',),\n", + " <, target:('U',), scope:('cNrm', 'CRRA')>),\n", + " (('aNrm',),\n", + " <, target:('aNrm',), scope:('mNrm', 'cNrm')>)])" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.frames" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "901d1782", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.906890Z", + "iopub.status.busy": "2024-07-11T15:30:51.906641Z", + "iopub.status.idle": "2024-07-11T15:30:51.909165Z", + "shell.execute_reply": "2024-07-11T15:30:51.908709Z" + } + }, + "outputs": [], + "source": [ + "def make_decision_rule(control_frame: Frame):\n", + " # get scope\n", + " scope = control_frame.scope\n", + "\n", + " # get objective function\n", + "\n", + " # get grid over the scope\n", + "\n", + " # get optimal action for each scope point given objective\n", + "\n", + " # interpolate from (s, a*) into decision rule" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "6a9a5c88", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.910602Z", + "iopub.status.busy": "2024-07-11T15:30:51.910379Z", + "iopub.status.idle": "2024-07-11T15:30:51.913029Z", + "shell.execute_reply": "2024-07-11T15:30:51.912554Z" + } + }, + "outputs": [], + "source": [ + "def create_value_function_from_reward_transition(transition, local_context):\n", + " def value_function(**parent_state):\n", + " inputs = parent_state.copy()\n", + " inputs.update(local_context)\n", + "\n", + " return transition(**inputs)\n", + "\n", + " return value_function" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "3642e854", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.914439Z", + "iopub.status.busy": "2024-07-11T15:30:51.914211Z", + "iopub.status.idle": "2024-07-11T15:30:51.917103Z", + "shell.execute_reply": "2024-07-11T15:30:51.916633Z" + } + }, + "outputs": [], + "source": [ + "for f in range(len(model.frames) - 1, 0, -1):\n", + " frame = model.frames.iloc(f)\n", + "\n", + " if frame.reward:\n", + " frame.value = create_value_function_from_reward_transition(\n", + " frame.transition,\n", + " frame.context,\n", + " )\n", + "\n", + " elif frame.control:\n", + " pass\n", + "\n", + " elif len(frame.children) == 0:\n", + " # terminal chance node\n", + "\n", + " pass\n", + "\n", + " else:\n", + " # intermediate state node\n", + " pass" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "8ede194b", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.918470Z", + "iopub.status.busy": "2024-07-11T15:30:51.918237Z", + "iopub.status.idle": "2024-07-11T15:30:51.921307Z", + "shell.execute_reply": "2024-07-11T15:30:51.920849Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'CRRA': 2.0}" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.frames.iloc(3).context" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "858c0834", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.922729Z", + "iopub.status.busy": "2024-07-11T15:30:51.922511Z", + "iopub.status.idle": "2024-07-11T15:30:51.925671Z", + "shell.execute_reply": "2024-07-11T15:30:51.925173Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(-0.5,)" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.frames.iloc(3).value(cNrm=2)" + ] + }, + { + "cell_type": "markdown", + "id": "be0911b8", + "metadata": {}, + "source": [ + "### pycid rules in parallel..." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "761360bc", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.927137Z", + "iopub.status.busy": "2024-07-11T15:30:51.926918Z", + "iopub.status.idle": "2024-07-11T15:30:51.930143Z", + "shell.execute_reply": "2024-07-11T15:30:51.929678Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'\\ndef impute_random_decision(self, d: str) -> None:\\n \"\"\"Impute a random policy to the given decision node\"\"\"\\n try:\\n domain = self.model.domain[d]\\n except KeyError:\\n raise ValueError(f\"can\\'t figure out domain for {d}, did you forget to specify DecisionDomain?\")\\n else:\\n self.model[d] = StochasticFunctionCPD(\\n d, lambda **pv: {outcome: 1 / len(domain) for outcome in domain}, self, domain, label=\"random_decision\"\\n )\\n'" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "'''\n", + "def impute_random_decision(self, d: str) -> None:\n", + " \"\"\"Impute a random policy to the given decision node\"\"\"\n", + " try:\n", + " domain = self.model.domain[d]\n", + " except KeyError:\n", + " raise ValueError(f\"can't figure out domain for {d}, did you forget to specify DecisionDomain?\")\n", + " else:\n", + " self.model[d] = StochasticFunctionCPD(\n", + " d, lambda **pv: {outcome: 1 / len(domain) for outcome in domain}, self, domain, label=\"random_decision\"\n", + " )\n", + "'''" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "31bb749a", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.931505Z", + "iopub.status.busy": "2024-07-11T15:30:51.931287Z", + "iopub.status.idle": "2024-07-11T15:30:51.934495Z", + "shell.execute_reply": "2024-07-11T15:30:51.934002Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'\\ndef expected_utility(\\n self, context: Dict[str, Outcome], intervention: Dict[str, Outcome] = None, agent: AgentLabel = 0\\n ) -> float:\\n \"\"\"Compute the expected utility of an agent for a given context and optional intervention\\n For example:\\n cid = get_minimal_cid()\\n out = self.expected_utility({\\'D\\':1}) #TODO: give example that uses context\\n Parameters\\n ----------\\n context: Node values to condition upon. A dictionary mapping of node => value.\\n intervention: Interventions to apply. A dictionary mapping node => value.\\n agent: Evaluate the utility of this agent.\\n \"\"\"\\n return sum(self.expected_value(self.agent_utilities[agent], context, intervention=intervention))\\n'" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "'''\n", + "def expected_utility(\n", + " self, context: Dict[str, Outcome], intervention: Dict[str, Outcome] = None, agent: AgentLabel = 0\n", + " ) -> float:\n", + " \"\"\"Compute the expected utility of an agent for a given context and optional intervention\n", + " For example:\n", + " cid = get_minimal_cid()\n", + " out = self.expected_utility({'D':1}) #TODO: give example that uses context\n", + " Parameters\n", + " ----------\n", + " context: Node values to condition upon. A dictionary mapping of node => value.\n", + " intervention: Interventions to apply. A dictionary mapping node => value.\n", + " agent: Evaluate the utility of this agent.\n", + " \"\"\"\n", + " return sum(self.expected_value(self.agent_utilities[agent], context, intervention=intervention))\n", + "'''" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "471405c0", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.935939Z", + "iopub.status.busy": "2024-07-11T15:30:51.935712Z", + "iopub.status.idle": "2024-07-11T15:30:51.938973Z", + "shell.execute_reply": "2024-07-11T15:30:51.938494Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'\\ndef impute_optimal_decision(self, decision: str) -> None:\\n \"\"\"Impute an optimal policy to the given decision node\"\"\"\\n # self.add_cpds(random.choice(self.optimal_pure_decision_rules(d)))\\n self.impute_random_decision(decision)\\n domain = self.model.domain[decision]\\n utility_nodes = self.agent_utilities[self.decision_agent[decision]]\\n descendant_utility_nodes = list(set(utility_nodes).intersection(nx.descendants(self, decision)))\\n copy = self.copy() # using a copy \"freezes\" the policy so it doesn\\'t adapt to future interventions\\n\\n @lru_cache(maxsize=1000)\\n def opt_policy(**parent_values: Outcome) -> Outcome:\\n eu = {}\\n for d in domain:\\n parent_values[decision] = d\\n eu[d] = sum(copy.expected_value(descendant_utility_nodes, parent_values))\\n return max(eu, key=eu.get) # type: ignore\\n\\n self.add_cpds(StochasticFunctionCPD(decision, opt_policy, self, domain=domain, label=\"opt\"))\\n'" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "'''\n", + "def impute_optimal_decision(self, decision: str) -> None:\n", + " \"\"\"Impute an optimal policy to the given decision node\"\"\"\n", + " # self.add_cpds(random.choice(self.optimal_pure_decision_rules(d)))\n", + " self.impute_random_decision(decision)\n", + " domain = self.model.domain[decision]\n", + " utility_nodes = self.agent_utilities[self.decision_agent[decision]]\n", + " descendant_utility_nodes = list(set(utility_nodes).intersection(nx.descendants(self, decision)))\n", + " copy = self.copy() # using a copy \"freezes\" the policy so it doesn't adapt to future interventions\n", + "\n", + " @lru_cache(maxsize=1000)\n", + " def opt_policy(**parent_values: Outcome) -> Outcome:\n", + " eu = {}\n", + " for d in domain:\n", + " parent_values[decision] = d\n", + " eu[d] = sum(copy.expected_value(descendant_utility_nodes, parent_values))\n", + " return max(eu, key=eu.get) # type: ignore\n", + "\n", + " self.add_cpds(StochasticFunctionCPD(decision, opt_policy, self, domain=domain, label=\"opt\"))\n", + "'''" + ] + }, + { + "cell_type": "markdown", + "id": "b47198b3", + "metadata": {}, + "source": [ + "## Forward simulating the model" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "2bef5647", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.940409Z", + "iopub.status.busy": "2024-07-11T15:30:51.940195Z", + "iopub.status.idle": "2024-07-11T15:30:51.942681Z", + "shell.execute_reply": "2024-07-11T15:30:51.942229Z" + } + }, + "outputs": [], + "source": [ + "frame_agent_A = FrameAgentType(\n", + " frame_model_A,\n", + " T_sim=5000,\n", + " AgentCount=200,\n", + " read_shocks=True,\n", + " cycles=0,\n", + ")\n", + "\n", + "# frame_agent_A.solve()\n", + "# frame_agent_A.track_vars += [\n", + "# \"mNrm\",\n", + "# \"cNrm\",\n", + "# \"aNrm\",\n", + "# \"bNrm\",\n", + "# 'U'\n", + "# ]\n", + "\n", + "# Doesn't work yet.\n", + "# frame_agent_A.initialize_sim()\n", + "# frame_agent_A.simulate()" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "d178e201", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.944028Z", + "iopub.status.busy": "2024-07-11T15:30:51.943861Z", + "iopub.status.idle": "2024-07-11T15:30:51.946140Z", + "shell.execute_reply": "2024-07-11T15:30:51.945674Z" + } + }, + "outputs": [], + "source": [ + "## TODO: Forward simulate" + ] + }, + { + "cell_type": "markdown", + "id": "634a4b6c", + "metadata": {}, + "source": [ + "## Progressively more complex models" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "641517a2", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.947724Z", + "iopub.status.busy": "2024-07-11T15:30:51.947322Z", + "iopub.status.idle": "2024-07-11T15:30:51.954930Z", + "shell.execute_reply": "2024-07-11T15:30:51.954460Z" + } + }, + "outputs": [], + "source": [ + "# maybe replace reference to init_portfolio to self.parameters?\n", + "frame_model_B = FrameModel(\n", + " [\n", + " # TODO : make an aggegrate value\n", + " Frame(\n", + " (\"PermShk\"),\n", + " None,\n", + " default={\n", + " \"PermShk\": 1.0,\n", + " }, # maybe this is unnecessary because the shock gets sampled at t = 0\n", + " # this is discretized before it's sampled\n", + " transition=IndexDistribution(\n", + " Lognormal.from_mean_std,\n", + " {\n", + " \"mean\": init_parameters[\"PermGroFac\"],\n", + " \"std\": init_parameters[\"PermShkStd\"],\n", + " },\n", + " ).discretize(\n", + " init_parameters[\"PermShkCount\"],\n", + " method=\"equiprobable\",\n", + " tail_N=0,\n", + " ),\n", + " ),\n", + " Frame(\n", + " (\"TranShk\"),\n", + " None,\n", + " default={\n", + " \"TranShk\": 1.0,\n", + " }, # maybe this is unnecessary because the shock gets sampled at t = 0\n", + " transition=IndexDistribution(\n", + " MeanOneLogNormal,\n", + " {\"sigma\": init_parameters[\"TranShkStd\"]},\n", + " ).discretize(\n", + " init_parameters[\"TranShkCount\"],\n", + " method=\"equiprobable\",\n", + " tail_N=0,\n", + " ),\n", + " ),\n", + " Frame(\n", + " (\"Rport\"),\n", + " (\"Share\", \"Risky\", \"Rfree\"),\n", + " transition=lambda Share, Risky, Rfree: (\n", + " Share * Risky + (1.0 - Share) * Rfree,\n", + " ),\n", + " ),\n", + " Frame(\n", + " (\"bNrm\",),\n", + " (\"aNrm\", \"Rport\", \"PermShk\"),\n", + " transition=lambda aNrm, Rport, PermShk: (Rport / PermShk) * aNrm,\n", + " ),\n", + " Frame(\n", + " (\"mNrm\",),\n", + " (\"bNrm\", \"TranShk\"),\n", + " transition=lambda bNrm, TranShk: (bNrm + TranShk,),\n", + " ),\n", + " Frame((\"cNrm\"), (\"Adjust\", \"mNrm\", \"Share\"), control=True),\n", + " Frame(\n", + " (\"U\"),\n", + " (\n", + " \"cNrm\",\n", + " \"CRRA\",\n", + " ), ## Note CRRA here is a parameter not a state var transition = lambda self, cNrm, CRRA : (CRRAutility(cNrm, CRRA),),\n", + " reward=True,\n", + " ),\n", + " Frame(\n", + " (\"aNrm\"),\n", + " (\"mNrm\", \"cNrm\"),\n", + " default={\"aNrm\": birth_aNrmNow},\n", + " transition=lambda mNrm, cNrm: (mNrm - cNrm,),\n", + " ),\n", + " ],\n", + " init_parameters,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "06c92f23", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:51.956337Z", + "iopub.status.busy": "2024-07-11T15:30:51.956106Z", + "iopub.status.idle": "2024-07-11T15:30:52.071764Z", + "shell.execute_reply": "2024-07-11T15:30:52.071259Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "draw_frame_model(frame_model_B) # , dot = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "fd86cf56", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:52.073525Z", + "iopub.status.busy": "2024-07-11T15:30:52.073203Z", + "iopub.status.idle": "2024-07-11T15:30:52.081318Z", + "shell.execute_reply": "2024-07-11T15:30:52.080829Z" + } + }, + "outputs": [], + "source": [ + "# TODO: streamline this so it can draw the parameters from context\n", + "def birth_aNrmNow(self, N):\n", + " \"\"\"Birth value for aNrmNow\"\"\"\n", + " return Lognormal(\n", + " mu=self.aNrmInitMean,\n", + " sigma=self.aNrmInitStd,\n", + " seed=self.RNG.integers(0, 2**31 - 1),\n", + " ).draw(N)\n", + "\n", + " # maybe replace reference to init_portfolio to self.parameters?\n", + "\n", + "\n", + "frame_model_C = FrameModel(\n", + " [\n", + " # TODO : make an aggegrate value\n", + " Frame(\n", + " (\"PermShk\"),\n", + " None,\n", + " default={\n", + " \"PermShk\": 1.0,\n", + " }, # maybe this is unnecessary because the shock gets sampled at t = 0\n", + " # this is discretized before it's sampled\n", + " transition=IndexDistribution(\n", + " Lognormal.from_mean_std,\n", + " {\n", + " \"mean\": init_parameters[\"PermGroFac\"],\n", + " \"std\": init_parameters[\"PermShkStd\"],\n", + " },\n", + " ).discretize(\n", + " init_parameters[\"PermShkCount\"],\n", + " method=\"equiprobable\",\n", + " tail_N=0,\n", + " ),\n", + " ),\n", + " Frame(\n", + " (\"TranShk\"),\n", + " None,\n", + " default={\n", + " \"TranShk\": 1.0,\n", + " }, # maybe this is unnecessary because the shock gets sampled at t = 0\n", + " transition=IndexDistribution(\n", + " MeanOneLogNormal,\n", + " {\"sigma\": init_parameters[\"TranShkStd\"]},\n", + " ).discretize(\n", + " init_parameters[\"TranShkCount\"],\n", + " method=\"equiprobable\",\n", + " tail_N=0,\n", + " ),\n", + " ),\n", + " Frame( ## TODO: Handle Risky as an Aggregate value\n", + " (\"Risky\"),\n", + " None,\n", + " transition=IndexDistribution(\n", + " Lognormal.from_mean_std,\n", + " {\n", + " \"mean\": init_parameters[\"RiskyAvg\"],\n", + " \"std\": init_parameters[\"RiskyStd\"],\n", + " },\n", + " # seed=self.RNG.integers(0, 2 ** 31 - 1) : TODO: Seed logic\n", + " ).discretize(init_parameters[\"RiskyCount\"], method=\"equiprobable\"),\n", + " aggregate=True,\n", + " ),\n", + " Frame(\n", + " (\"Rport\"),\n", + " (\"Share\", \"Risky\", \"Rfree\"),\n", + " transition=lambda Share, Risky, Rfree: (\n", + " Share * Risky + (1.0 - Share) * Rfree,\n", + " ),\n", + " ),\n", + " Frame(\n", + " (\"bNrm\",),\n", + " (\"aNrm\", \"Rport\", \"PermShk\"),\n", + " transition=lambda aNrm, Rport, PermShk: (Rport / PermShk) * aNrm,\n", + " ),\n", + " Frame(\n", + " (\"mNrm\",),\n", + " (\"bNrm\", \"TranShk\"),\n", + " transition=lambda bNrm, TranShk: (bNrm + TranShk,),\n", + " ),\n", + " Frame((\"Share\"), (\"Adjust\", \"mNrm\"), default={\"Share\": 0}, control=True),\n", + " Frame((\"cNrm\"), (\"Adjust\", \"mNrm\", \"Share\"), control=True),\n", + " Frame(\n", + " (\"U\"),\n", + " (\"cNrm\", \"CRRA\"), ## Note CRRA here is a parameter not a state var\n", + " transition=lambda cNrm, CRRA: (CRRAutility(cNrm, CRRA),),\n", + " reward=True,\n", + " ),\n", + " Frame(\n", + " (\"aNrm\"),\n", + " (\"mNrm\", \"cNrm\"),\n", + " default={\"aNrm\": birth_aNrmNow},\n", + " transition=lambda mNrm, cNrm: (mNrm - cNrm,),\n", + " ),\n", + " ],\n", + " init_parameters,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "f54fc581", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:52.082759Z", + "iopub.status.busy": "2024-07-11T15:30:52.082530Z", + "iopub.status.idle": "2024-07-11T15:30:52.291761Z", + "shell.execute_reply": "2024-07-11T15:30:52.291223Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "draw_frame_model(frame_model_C, figsize=(8, 12)) # , dot = True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "49dbf354", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "jupytext": { + "formats": "ipynb,py:percent" + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 } diff --git a/examples/MonteCarlo/Generic Monte Carlo Perfect Foresight.ipynb b/examples/MonteCarlo/Generic Monte Carlo Perfect Foresight.ipynb index 1ba3abc7a..0ad3149c8 100644 --- a/examples/MonteCarlo/Generic Monte Carlo Perfect Foresight.ipynb +++ b/examples/MonteCarlo/Generic Monte Carlo Perfect Foresight.ipynb @@ -1,2047 +1,2047 @@ { - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "be704ca8", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:01.511370Z", - "iopub.status.busy": "2024-07-11T15:34:01.511125Z", - "iopub.status.idle": "2024-07-11T15:34:02.453530Z", - "shell.execute_reply": "2024-07-11T15:34:02.452849Z" - } - }, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "from HARK.ConsumptionSaving.ConsIndShockModel import PerfForesightConsumerType" - ] - }, - { - "cell_type": "markdown", - "id": "d0698156", - "metadata": {}, - "source": [ - "## Original Perfect Foresight Example" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "83e6f76e", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:02.455570Z", - "iopub.status.busy": "2024-07-11T15:34:02.455300Z", - "iopub.status.idle": "2024-07-11T15:34:02.458615Z", - "shell.execute_reply": "2024-07-11T15:34:02.458150Z" - } - }, - "outputs": [], - "source": [ - "PFexample = PerfForesightConsumerType()\n", - "PFexample.cycles = 0\n", - "\n", - "SimulationParams = {\n", - " \"AgentCount\": 3, # Number of agents of this type\n", - " \"T_sim\": 120, # Number of periods to simulate\n", - " \"aNrmInitMean\": -6.0, # Mean of log initial assets\n", - " \"aNrmInitStd\": 0, # 1.0, # Standard deviation of log initial assets\n", - " \"pLvlInitMean\": 0.0, # Mean of log initial permanent income\n", - " \"pLvlInitStd\": 0.0, # Standard deviation of log initial permanent income\n", - " \"PermGroFacAgg\": 1.0, # Aggregate permanent income growth factor\n", - " \"T_age\": None, # Age after which simulated agents are automatically killed,\n", - " \"LivPrb\": [0.98],\n", - "}\n", - "\n", - "PFexample.assign_parameters(**SimulationParams)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "e0f219ec", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:02.459993Z", - "iopub.status.busy": "2024-07-11T15:34:02.459770Z", - "iopub.status.idle": "2024-07-11T15:34:02.526989Z", - "shell.execute_reply": "2024-07-11T15:34:02.526448Z" - } - }, - "outputs": [], - "source": [ - "PFexample.solve()" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "c3981c6d", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:02.529193Z", - "iopub.status.busy": "2024-07-11T15:34:02.528717Z", - "iopub.status.idle": "2024-07-11T15:34:02.533233Z", - "shell.execute_reply": "2024-07-11T15:34:02.532754Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "PFexample" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "66cc08fb", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:02.534823Z", - "iopub.status.busy": "2024-07-11T15:34:02.534580Z", - "iopub.status.idle": "2024-07-11T15:34:02.615890Z", - "shell.execute_reply": "2024-07-11T15:34:02.615372Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "{'who_dies': array([[ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 1.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 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"execute_result" - } - ], - "source": [ - "PFexample.track_vars = [\"who_dies\", \"mNrm\", \"pLvl\", \"aNrm\"]\n", - "PFexample.make_shock_history()\n", - "\n", - "PFexample.initialize_sim()\n", - "PFexample.simulate()" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "3b126cc4", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:02.617463Z", - "iopub.status.busy": "2024-07-11T15:34:02.617208Z", - "iopub.status.idle": "2024-07-11T15:34:02.693136Z", - "shell.execute_reply": "2024-07-11T15:34:02.692638Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(np.mean(PFexample.history[\"mNrm\"], axis=1))\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Mean normalized market resources\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "633034d3", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:02.694781Z", - "iopub.status.busy": "2024-07-11T15:34:02.694532Z", - "iopub.status.idle": "2024-07-11T15:34:02.761840Z", - "shell.execute_reply": "2024-07-11T15:34:02.761317Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(np.mean(PFexample.history[\"mNrm\"] * PFexample.history[\"pLvl\"], axis=1))\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Mean normalized market resources\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "bb741c54", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:02.763477Z", - "iopub.status.busy": "2024-07-11T15:34:02.763214Z", - "iopub.status.idle": "2024-07-11T15:34:02.824903Z", - "shell.execute_reply": "2024-07-11T15:34:02.824427Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/tmp/ipykernel_177460/842794148.py:2: RuntimeWarning: divide by zero encountered in log\n", - " np.log(\n" - ] + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "be704ca8", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:01.511370Z", + "iopub.status.busy": "2024-07-11T15:34:01.511125Z", + "iopub.status.idle": "2024-07-11T15:34:02.453530Z", + "shell.execute_reply": "2024-07-11T15:34:02.452849Z" + } + }, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "from HARK.ConsumptionSaving.ConsIndShockModel import PerfForesightConsumerType" + ] + }, + { + "cell_type": "markdown", + "id": "d0698156", + "metadata": {}, + "source": [ + "## Original Perfect Foresight Example" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "83e6f76e", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:02.455570Z", + "iopub.status.busy": "2024-07-11T15:34:02.455300Z", + "iopub.status.idle": "2024-07-11T15:34:02.458615Z", + "shell.execute_reply": "2024-07-11T15:34:02.458150Z" + } + }, + "outputs": [], + "source": [ + "PFexample = PerfForesightConsumerType()\n", + "PFexample.cycles = 0\n", + "\n", + "SimulationParams = {\n", + " \"AgentCount\": 3, # Number of agents of this type\n", + " \"T_sim\": 120, # Number of periods to simulate\n", + " \"aNrmInitMean\": -6.0, # Mean of log initial assets\n", + " \"aNrmInitStd\": 0, # 1.0, # Standard deviation of log initial assets\n", + " \"pLvlInitMean\": 0.0, # Mean of log initial permanent income\n", + " \"pLvlInitStd\": 0.0, # Standard deviation of log initial permanent income\n", + " \"PermGroFacAgg\": 1.0, # Aggregate permanent income growth factor\n", + " \"T_age\": None, # Age after which simulated agents are automatically killed,\n", + " \"LivPrb\": [0.98],\n", + "}\n", + "\n", + "PFexample.assign_parameters(**SimulationParams)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "e0f219ec", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:02.459993Z", + "iopub.status.busy": "2024-07-11T15:34:02.459770Z", + "iopub.status.idle": "2024-07-11T15:34:02.526989Z", + "shell.execute_reply": "2024-07-11T15:34:02.526448Z" + } + }, + "outputs": [], + "source": [ + "PFexample.solve()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "c3981c6d", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:02.529193Z", + "iopub.status.busy": "2024-07-11T15:34:02.528717Z", + "iopub.status.idle": "2024-07-11T15:34:02.533233Z", + "shell.execute_reply": "2024-07-11T15:34:02.532754Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "PFexample" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "66cc08fb", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:02.534823Z", + "iopub.status.busy": "2024-07-11T15:34:02.534580Z", + "iopub.status.idle": "2024-07-11T15:34:02.615890Z", + "shell.execute_reply": "2024-07-11T15:34:02.615372Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'who_dies': array([[ 0., 0., 0.],\n", + " [ 0., 0., 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[-36.87127373, -36.87127373, -33.32717843],\n", + " [-37.21684518, -1.27807355, -33.76261493],\n", + " [-37.55365424, -2.52615583, -34.18701038],\n", + " [-37.88192307, -3.74259139, -34.60064474],\n", + " [-38.20186823, -4.92818269, -35.00379088],\n", + " [-38.51370077, -6.08371181, -35.39671474],\n", + " [-38.8176264 , -7.20994102, -35.77967551],\n", + " [-39.11384561, -8.30761326, -36.15292583],\n", + " [-39.4025538 , -9.37745262, -36.51671191],\n", + " [-39.68394144, -10.42016485, -36.87127373],\n", + " [-39.95819413, -11.43643779, -37.21684518],\n", + " [-40.2254928 , -12.42694183, -37.55365424],\n", + " [-40.48601376, -13.39233038, -37.88192307],\n", + " [-40.73992889, -14.33324028, -38.20186823],\n", + " [-40.98740568, -15.25029222, -38.51370077],\n", + " [-41.22860738, -16.14409113, -38.8176264 ],\n", + " [-41.46369311, -17.01522664, -1.27807355],\n", + " [-41.69281793, -17.8642734 , -2.52615583],\n", + " [-41.91613301, -18.69179151, -3.74259139],\n", + " [-42.13378565, 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[-16.14409113, -1.27807355, -33.76261493],\n", + " [-17.01522664, -2.52615583, -34.18701038],\n", + " [-17.8642734 , -3.74259139, -34.60064474],\n", + " [-18.69179151, -4.92818269, -35.00379088],\n", + " [-19.49832683, -6.08371181, -35.39671474],\n", + " [-20.28441144, -7.20994102, -35.77967551],\n", + " [-21.05056386, -8.30761326, -36.15292583],\n", + " [-21.79728952, -9.37745262, -36.51671191],\n", + " [-22.525081 , -10.42016485, -36.87127373],\n", + " [-23.2344184 , -11.43643779, -37.21684518],\n", + " [-23.92576966, -12.42694183, -1.27807355],\n", + " [-24.59959082, -13.39233038, -2.52615583]])}" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "PFexample.track_vars = [\"who_dies\", \"mNrm\", \"pLvl\", \"aNrm\"]\n", + "PFexample.make_shock_history()\n", + "\n", + "PFexample.initialize_sim()\n", + "PFexample.simulate()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "3b126cc4", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:02.617463Z", + "iopub.status.busy": "2024-07-11T15:34:02.617208Z", + "iopub.status.idle": "2024-07-11T15:34:02.693136Z", + "shell.execute_reply": "2024-07-11T15:34:02.692638Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(np.mean(PFexample.history[\"mNrm\"], axis=1))\n", + "plt.xlabel(\"Time\")\n", + "plt.ylabel(\"Mean normalized market resources\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "633034d3", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:02.694781Z", + "iopub.status.busy": "2024-07-11T15:34:02.694532Z", + "iopub.status.idle": "2024-07-11T15:34:02.761840Z", + "shell.execute_reply": "2024-07-11T15:34:02.761317Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(np.mean(PFexample.history[\"mNrm\"] * PFexample.history[\"pLvl\"], axis=1))\n", + "plt.xlabel(\"Time\")\n", + "plt.ylabel(\"Mean normalized market resources\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "bb741c54", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:02.763477Z", + "iopub.status.busy": "2024-07-11T15:34:02.763214Z", + "iopub.status.idle": "2024-07-11T15:34:02.824903Z", + "shell.execute_reply": "2024-07-11T15:34:02.824427Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_177460/842794148.py:2: RuntimeWarning: divide by zero encountered in log\n", + " np.log(\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(\n", + " np.log(\n", + " np.mean(PFexample.history[\"mNrm\"], axis=1)\n", + " - np.min(np.mean(PFexample.history[\"mNrm\"], axis=1)),\n", + " ),\n", + ")\n", + "plt.xlabel(\"Time\")\n", + "plt.ylabel(\"Mean normalized market resources\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "603ae6e5", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:02.826424Z", + "iopub.status.busy": "2024-07-11T15:34:02.826181Z", + "iopub.status.idle": "2024-07-11T15:34:02.829695Z", + "shell.execute_reply": "2024-07-11T15:34:02.829265Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(0,)" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "PFexample.newborn_init_history[\"pLvl\"][1, PFexample.history[\"who_dies\"][1, :] > 0].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "567440dd", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:02.830992Z", + "iopub.status.busy": "2024-07-11T15:34:02.830825Z", + "iopub.status.idle": "2024-07-11T15:34:02.834069Z", + "shell.execute_reply": "2024-07-11T15:34:02.833623Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(0,)" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "PFexample.newborn_init_history[\"aNrm\"][2, PFexample.history[\"who_dies\"][2, :] > 0].shape" + ] + }, + { + "cell_type": "markdown", + "id": "0ead3ec8", + "metadata": {}, + "source": [ + "## Using the Generic Monte Carlo Simulator" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "adfbe431", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:02.835418Z", + "iopub.status.busy": "2024-07-11T15:34:02.835248Z", + "iopub.status.idle": "2024-07-11T15:34:03.072702Z", + "shell.execute_reply": "2024-07-11T15:34:03.072124Z" + } + }, + "outputs": [], + "source": [ + "import HARK.models.perfect_foresight_normalized as pfn\n", + "from HARK.distributions import Lognormal\n", + "from HARK.simulation.monte_carlo import AgentTypeMonteCarloSimulator" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "5a0c394b", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:03.074937Z", + "iopub.status.busy": "2024-07-11T15:34:03.074443Z", + "iopub.status.idle": "2024-07-11T15:34:03.078102Z", + "shell.execute_reply": "2024-07-11T15:34:03.077454Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "DBlock(name='', description='', shocks={'live': }, dynamics={'p': at 0x7f39a5da56c0>, 'r_eff': at 0x7f39a2a97740>, 'b_nrm': at 0x7f39a2a977e0>, 'm_nrm': at 0x7f39a2a97880>, 'c_nrm': , 'a_nrm': at 0x7f39a2a97920>}, reward={'u': at 0x7f39a2a979c0>})" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pfn.block" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "e9d068bd", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:03.079667Z", + "iopub.status.busy": "2024-07-11T15:34:03.079431Z", + "iopub.status.idle": "2024-07-11T15:34:03.082510Z", + "shell.execute_reply": "2024-07-11T15:34:03.082064Z" + } + }, + "outputs": [], + "source": [ + "pfn_simulator = AgentTypeMonteCarloSimulator(\n", + " pfn.calibration,\n", + " pfn.block,\n", + " {\"c_nrm\": lambda m_nrm: PFexample.solution[0].cFunc(m_nrm)},\n", + " { # initial states\n", + " \"a_nrm\": Lognormal(-6, 0),\n", + " #'live' : 1,\n", + " \"p\": 1.0,\n", + " },\n", + " agent_count=3,\n", + " T_sim=120,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "36ba1dda", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:03.083966Z", + "iopub.status.busy": "2024-07-11T15:34:03.083724Z", + "iopub.status.idle": "2024-07-11T15:34:03.086235Z", + "shell.execute_reply": "2024-07-11T15:34:03.085768Z" + } + }, + "outputs": [], + "source": [ + "pfn_simulator.read_shocks = True\n", + "# pfn_simulator.shock_history['live'] = 1 - np.roll(PFexample.history[\"who_dies\"], -1)\n", + "\n", + "pfn_simulator.shock_history[\"live\"] = 1 - PFexample.history[\"who_dies\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "bc84d3e5", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:03.087683Z", + "iopub.status.busy": "2024-07-11T15:34:03.087445Z", + "iopub.status.idle": "2024-07-11T15:34:03.089960Z", + "shell.execute_reply": "2024-07-11T15:34:03.089470Z" + } + }, + "outputs": [], + "source": [ + "pfn_simulator.newborn_init_history[\"a_nrm\"] = PFexample.newborn_init_history[\"aNrm\"]\n", + "pfn_simulator.newborn_init_history[\"p\"] = PFexample.newborn_init_history[\"pLvl\"]\n", + "# pfn_simulator.newborn_init_history['live'] = PFexample.newborn_init_history['pLvl']" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "65df3a7f", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:03.091464Z", + "iopub.status.busy": "2024-07-11T15:34:03.091231Z", + "iopub.status.idle": "2024-07-11T15:34:03.113213Z", + "shell.execute_reply": "2024-07-11T15:34:03.112766Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'live': array([[ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 0.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + 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[-42.55267428, -21.05056386, -7.20994102],\n", + " [-42.75418661, -21.79728952, -8.30761326],\n", + " [-42.95058933, -22.525081 , -9.37745262],\n", + " [-43.14201201, -23.2344184 , -10.42016485],\n", + " [-43.32858093, -23.92576966, -11.43643779],\n", + " [-43.51041916, -24.59959082, -12.42694183],\n", + " [ -1.27807355, -25.25632639, -13.39233038],\n", + " [ -2.52615583, -25.89640959, -14.33324028],\n", + " [ -3.74259139, -26.52026268, -15.25029222],\n", + " [ -4.92818269, -27.12829717, -16.14409113],\n", + " [ -6.08371181, -27.72091418, -17.01522664],\n", + " [ -1.27807355, -28.29850463, -17.8642734 ],\n", + " [ -2.52615583, -1.27807355, -18.69179151],\n", + " [ -3.74259139, -2.52615583, -19.49832683],\n", + " [ -4.92818269, -3.74259139, -20.28441144],\n", + " [ -6.08371181, -4.92818269, -21.05056386],\n", + " [ -7.20994102, -6.08371181, -21.79728952],\n", + " [ -8.30761326, -7.20994102, -22.525081 ],\n", + " [ -9.37745262, -8.30761326, -23.2344184 ],\n", + " [-10.42016485, -9.37745262, -23.92576966],\n", + " [-11.43643779, -10.42016485, -24.59959082],\n", + " [-12.42694183, -11.43643779, -25.25632639],\n", + " [-13.39233038, -12.42694183, -25.89640959],\n", + " [ -1.27807355, -13.39233038, -26.52026268],\n", + " [ -2.52615583, -14.33324028, -27.12829717],\n", + " [ -3.74259139, -15.25029222, -27.72091418],\n", + " [ -4.92818269, -16.14409113, -28.29850463],\n", + " [ -6.08371181, -17.01522664, -28.86144954],\n", + " [ -7.20994102, -17.8642734 , -29.41012026],\n", + " [ -8.30761326, -18.69179151, -29.94487875],\n", + " [ -9.37745262, -19.49832683, -30.46607775],\n", + " [-10.42016485, -20.28441144, -30.97406109],\n", + " [-11.43643779, -21.05056386, -31.46916387],\n", + " [-12.42694183, -21.79728952, -31.95171268],\n", + " [-13.39233038, -22.525081 , -32.42202586],\n", + " [-14.33324028, -23.2344184 , -32.88041365],\n", + " [-15.25029222, -23.92576966, -33.32717843],\n", + " [-16.14409113, -1.27807355, -33.76261493],\n", + " [-17.01522664, -2.52615583, -34.18701038],\n", + " [-17.8642734 , -3.74259139, -34.60064474],\n", + " [-18.69179151, -4.92818269, -35.00379088],\n", + " [-19.49832683, -6.08371181, -35.39671474],\n", + " [-20.28441144, -7.20994102, -35.77967551],\n", + " [-21.05056386, -8.30761326, -36.15292583],\n", + " [-21.79728952, -9.37745262, -36.51671191],\n", + " [-22.525081 , -10.42016485, -36.87127373],\n", + " [-23.2344184 , -11.43643779, -37.21684518],\n", + " [-23.92576966, -12.42694183, -1.27807355],\n", + " [-24.59959082, -13.39233038, -2.52615583]])}" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# pf_simulator.track_vars = [\"mNrm\"]\n", + "pfn_simulator.initialize_sim()\n", + "pfn_simulator.simulate(sim_periods=120)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "9e2c7ad0", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:03.114760Z", + "iopub.status.busy": "2024-07-11T15:34:03.114523Z", + "iopub.status.idle": "2024-07-11T15:34:03.186167Z", + "shell.execute_reply": "2024-07-11T15:34:03.185672Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(np.mean(pfn_simulator.history[\"m_nrm\"], axis=1))\n", + "plt.xlabel(\"Time\")\n", + "plt.ylabel(\"Mean normalized market resources\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "2b471cf1", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:03.187901Z", + "iopub.status.busy": "2024-07-11T15:34:03.187619Z", + "iopub.status.idle": "2024-07-11T15:34:03.254681Z", + "shell.execute_reply": "2024-07-11T15:34:03.254185Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_177460/785913752.py:2: RuntimeWarning: divide by zero encountered in log\n", + " np.log(\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(\n", + " np.log(\n", + " np.mean(pfn_simulator.history[\"m_nrm\"], axis=1)\n", + " - np.min(np.mean(pfn_simulator.history[\"m_nrm\"], axis=1)),\n", + " ),\n", + ")\n", + "plt.xlabel(\"Time\")\n", + "plt.ylabel(\"Mean normalized market resources\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "464f19e7", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:03.256295Z", + "iopub.status.busy": "2024-07-11T15:34:03.256038Z", + "iopub.status.idle": "2024-07-11T15:34:03.332958Z", + "shell.execute_reply": "2024-07-11T15:34:03.332488Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(pfn_simulator.history[\"live\"].sum(axis=1))" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "1cc1dc83", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:03.334568Z", + "iopub.status.busy": "2024-07-11T15:34:03.334308Z", + "iopub.status.idle": "2024-07-11T15:34:03.414606Z", + "shell.execute_reply": "2024-07-11T15:34:03.414140Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(np.mean(pfn_simulator.history[\"a_nrm\"], axis=1), label=\"Generic monte carlo\")\n", + "plt.plot(\n", + " np.mean(PFexample.history[\"aNrm\"], axis=1),\n", + " label=\"HARK 0.13 PerfForesightConsumerType\",\n", + ")\n", + "plt.xlabel(\"Time\")\n", + "plt.ylabel(\"Mean normalized market resources\")\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "dcff94ad", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:03.416235Z", + "iopub.status.busy": "2024-07-11T15:34:03.415972Z", + "iopub.status.idle": "2024-07-11T15:34:03.420025Z", + "shell.execute_reply": "2024-07-11T15:34:03.419536Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", + " 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", + " 0., 0., 0., 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+ "(array([ 8, 50, 65, 76, 81, 82, 93, 107, 117]),\n", + " array([2, 1, 2, 0, 0, 1, 0, 1, 2]))" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.where(pfn_simulator.history[\"live\"] < 1)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "0e37528d", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:03.426279Z", + "iopub.status.busy": "2024-07-11T15:34:03.425901Z", + "iopub.status.idle": "2024-07-11T15:34:03.429353Z", + "shell.execute_reply": "2024-07-11T15:34:03.428881Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(array([ 8, 50, 65, 76, 81, 82, 93, 107, 117]),\n", + " array([2, 1, 2, 0, 0, 1, 0, 1, 2]))" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.where(1 - PFexample.history[\"who_dies\"] < 1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7e5cf6a1", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + } }, - { - "data": { - "image/png": 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qaYpmpaaMHVdqiuTtt9/Gm2++iWrVqqF69er4/vvvYW9vj5MnT0odWqlmr1Jg2eAA9G5UAWoRmLTlAubsv8FhmEQSyN1+KvgfGkVOEe0nHaoDABYduYVPNp5DZrYaarWICRvCcTYyHo7WCiwdHACFXNp/KgRBwIg2vvilb33dSa7By08hMWcY5uXoRDxKSoedlRyNK5cp8LXKOqiw9v1meD1nteqD38/gzxB+GNOXtqbGmSs1xZednY1169YhJSUFgYGBL31eeno6EhMT89zI8JRyGWb1qqfrifHL/uv4YutFZGWrJY6MqHR5WaFwfgRBwJh21TDrnXqQywRsOXsfw1edwbc7LuOfCw+hlAtYPCgAVd0djB12ofXwr4CVQU1gr1Lg5O049P3tJGIT03SnnlpUdYNK8erjxXYqBZYMCkDfAM1q1Rdb+WFMX9rtJxcmNUV34cIF2NvbQ6VS4aOPPsLWrVtRu3btlz5/+vTpcHJy0t28vb1LMNrSRRA0PTG+61YHggCsPRWJkWvOspcNUQlK0a3UFL5vSJ/G3lgyqBGslTIcuf4IK0/cAQD82Ks+mlVxNUaYxdKymhvWfdAMbvYqXIlORM+FJ/BXuGZmVNuX1NPkRyGXYcY7fhjbNvfD2Fd/XTTJXjaiKOLe01STSrpYKGwANWrUQHh4OEJCQjBixAgMHjwYly9ffunzJ0+ejISEBN0tKkra6aGlwcDASlg4oKHu+OTzS8REZFxJhdx++q+2NT3w5/vNUCbnH6hPOlRHd38vg8dnKHW9nLBlRHNUdLXFvafPcCunSWCbAupp8iMIAiZ0rIFvcz6M/XEyEqP/NL0PY3+FP0DLmYcwbNUZk+mzw0JhA7CyskLVqlXRqFEjTJ8+HfXr18ecOXNe+nyVSqU7LaW9kfG9Ube8piuoSoGQiJwl4iROzCUyNn22n/6roU8Z7Bn3GtZ90Ayjc1YvTJmPqy02fdQcdb00v9freDqinFPRZg4NCqyE+f0bwkouw66LDxG04rSuPskUhOe0zDh4NRYDl4Ug4Zn0HxS1KzUWVyicmJiIbdu24cqVK4aIRy9qtRrp6WyiZIoCfV2x7sPcJeJeC4PZpI/IyHRHugs4/VQQd0drNKvialIdYgtS1kGFdR8E4rNONTDznXrFeq0u9cpjZVBj2KsUCL79BO8uOYknJtKk72FC7ofCM3efou9vwYhNlPaDosUUCvfp0wfz588HADx79gwBAQHo06cP6tWrh82bNxs8QK3Jkyfj6NGjuHPnDi5cuIDJkyfj8OHDGDBggNF+JhVPHU8nbB4RqOsL0WvRCVx7mCR1WEQWS3f6qQgrNebKXqXAqNeroq6XU7Ffq3lVN6x9vxlc7Kxw/l4Cev8WjAfxzwwQZfE8zElgxrWvhrIOKlx9mIRei4L1motlSJnZal37ALPffjp69ChatWoFANi6dStEUUR8fDzmzp2LadOmGTxArdjYWAwaNAg1atRAu3btcPr0aezZswcdOnQw2s+k4qvoaodNHwWiZjkHxCalo89vwWx4RWQkhelTQwXzq+CEDR8GwtPJGrcfpaDXwhO49ShZ0phicpKaNjXcsfmj3AaCvRcF43pMyX9QjM/ZehIEwMnGzLefEhIS4OLiAgDYvXs33nnnHdja2qJLly64ceOGwQPUWrZsGe7cuYP09HTExsZi//79TGjMhLujpoupv48zEp5lYsDSEBy/+VjqsIgsTnI+Ay1Jf1Xd7bFxRHNUKWuHBwlp6LMoGJcfSNMSJFstIjZJsw1WztFaU0s0IhA1PHI/KJb0mBptkbCjtRJymWltVeqd1Hh7eyM4OBgpKSnYvXs3OnbsCAB4+vQprK2LVqRFls/Z1gp/DGuKllXdkJqRjaAVp7GPnTyJDCYzW420TE1vqJeNSaDC83K2wcYPA1HH0xFPUjLQb3FwoYaAGtqT5HRkq0XIBMDNXrPV4+5gjfUfNkN9b2fEp2o+KJ68/aTEYtIVCZvYcW6gCEnNuHHjMGDAAFSoUAHly5dHmzZtAGi2pfz8/AwdH1kQO5UCy4YEoFMdD2RkqzHij1BsP/dA6rCILELKc6d17LhSYxCu9ir8+X4zBFQsg8S0LLy3NAQnSniVWVtPU9ZBlaezs7OtFdYMb4rmvq5ITs/C4OWndPOvjM1Ui4SBIiQ1I0eORHBwMJYvX47jx49DJtO8RJUqVYxaU0OWQaWQY8G7DdHD3wtZahEfrwvDhjPsH0RUXNp6GmulDEqJxxpYEicbJVYPa4JW1TSrzENWnsbBqyW3yqw9+VTO8cWdEHuVAsuHNEb7Wh5Iz1Ljg9VnsPtiwZPXDSG3R40FrNQAQEBAALp06YL79+8jK0vzRurSpQtatGhh0ODIMinkMvzcuz76N/GBWgQmbjr/0knBRFQ4hZ37RPqztdLMwOpY2wMZWWp8+HtoiSQPQG6RsEc+SQ0AWCvlWPheQ3SpVx6Z2SJG/XlW12HZWHK3nyxgpSY1NRXDhg2Dra0t6tSpg8hIzSCwMWPGYMaMGQYPkCyTTCbghx51MbRFZQCaScFL/70tcVRE5kvXo4b1NEahUsixYEBDvFWCyQOQu/1UUGNBpVyGuf388U7DCshWixi3PhwbThtvBVy7/VTGzgKSmsmTJ+PcuXM4fPhwnsLg9u3bY/369QYNjiybIAj46q1aGPW6LwBg2s4r+PXwTYmjIjJPyTzObXRKuQxz+vmjZ0MvXfKw0cjb5w8TNCefXrZSoyWXCfixVz0MaOoDUQQmbj5vtOnj8SkWVCi8bds2zJ8/Hy1btszTdbJOnTq4deuWQYMjyycIAj7rVBPj21cHAMzafQ1z9huvNQBRUZ2NfIpRf57F1YfSHO19ldy5T0xqjEkuE/BTr/ro38Qbogh8tuk81p0yTvIA5G4/5VdT818ymYBp3esiqEUlAJrp478bYWvfogqFHz16BHf3F4eGpaSkmE1rbTI9H7evhs861QCgmZb7895rJjWRluiP4LvYeT4a/ReflKxnSUGKM/eJ9KPZPvfD4MCKAIBJWy4YbVWkMNtPzxMEAVPfqo33W2m29r/66xJWHI8waExPTXSYJVCEpCYgIAA7d+7Ufa1NZJYuXYrAwEDDRUalzqjXq2LKm7UAAPMO3sQv+64zsSGTkZKhSRqepmZiwNKTuPQgQeKI8tI23ivq3CfSjyAI+F/XOnlWRdaE3DX4z4lJKLhQ+GWxffFmLXzUWrO1/832ywatWTTlPjV6/+3/4Ycf0LlzZ1y+fBlZWVmYM2cOLl++jBMnTuDIkSPGiJFKkfdfqwJB0NTXzD2oqa8Z36E6VwFJctrGdjZKeU5iE4I/hjU1yMwhQ+BKTcnTrorIBAHLjkVgytaLUIvAwGYVDfL6KelZum1FfSeQC4KAz9+oAaVcwLyDNzFt5xXIBAFDW1YudlzxlrT91LJlS4SHhyMrKwt+fn7Yu3cv3N3dERwcjEaNGhkjRiplhreqgi+7aFZs5nLFhkxEWmY2AOCrt2qjwXOdXE1lxYY1NdIQBAFfdqmVu92z7aLBtqK0W0/2KkWR/n8VBAETOlTHmLZVAQDf7riMlcXcihJFUTf7qYydBazUAICvry+WLFli6FiIdIa3qgIgd8VGEASM71Bd4qioNEvP0qzUlHVQYfWwJhi8/BTCIuPx3tIQrP2gGWqWc5Q0Pq7USEe73QMAS/6NwBdbL0AhE9CnsXexXjd360lVrNgmdKgOtShiwaFb+N/2y5DJBAwKrFSk10tKz0KWWvMh0yJqav755x/s2bPnhfv37NmDXbt2GSQoIiDvis2cAzew4BCPe5N0tCs11koZHK2VWDW0CepXcNJsRS0JwQ0JpiU/T9enhis1ktAmNtoam8+3nMem0HvFek19i4QLiu3TjjUwoo2mxmbqX5fw+8mi1f9oj3NbK2WwVsqLFZcx6J3UTJo0CdnZ2S/cL4oiJk2aZJCgiLSGt6qCz9+oCQD4cc81LDnKBn0kDe1KjfYXuaO1EquHNkVdL83Aw/5LQnDrUbJk8ek6CnOlRjLaGptBgRVzjnufK1aDvoev6Casb2wTO9XAh601q+BfbbtYpBE1pnzyCShCUnPjxg3Url37hftr1qyJmzf5SZoMb0QbX10fm+//uVLsPWGiotCu1KgUub82nWyV+H1oU9Qq74jHyel4d8lJRD5JlSS+pDSOSTAFgiDgm651dE3wJmw4h90Xo4v0WjEFzH0qamyT3qiZu5q0+bzeSZcp96gBipDUODk54fbtFz8t37x5E3Z2dgYJiui/xraritGva4rd/rf9slGbXRHlJ3f7Ke+Sexk7K/wxrAmqe9gjJjEd7y49ieiEZyUeXzILhU2GIAj4rltd9GqkGVswZm0YDl3Vf4K2obaf/hvb1Ldq490iJl3aImEXEywSBoqQ1HTr1g3jxo3L0z345s2b+OSTT9C1a1eDBkekJQgCPulYHR+8plk6nbz1Av4+90DiqKg00R7ptla8WEfgaq/CH8OaopKrLe49fYYBS0LwKCm9ROPTFgpz9pNpkMkEzHynnm5W1Ed/hOLEzcd6vcbDxMKNSNCXIAiY9t+k61rhki6LW6mZNWsW7OzsULNmTVSuXBmVK1dGrVq14Orqip9++skYMRIB0LwRJ3eumbusuz4c+y/HSB0WlQKiKCI9K7dQOD/ujtZY834zeDnb4PbjFAxcFqLr51EStCs1dlypMRlymYBf+jZA+1oeSM9SY/jqMwi9+7TQ32/o7afnaZOut+t7apKu30MRcvvJK7/PlBvvAUXcfjpx4gR27tyJkSNH4pNPPsGBAwdw8OBBODs7GyFEolzaZd0e/l7IUosY+edZHNfz0w+RvjKzReScYoWqgBMfXs42WDO8Kco6qHD1YRIGrzitSzaMSa0Wuf1kopRyGea/649W1dyQmpGNoBWncCX61WM2stUiHiVrVmoMuf30PLlMwOw+9dGupjvSs9QYtuoMzt+LL/B7nqZYUKFwZmYmFAoFLl26hI4dO+Kzzz7D6NGj8dprrxkrPqIXyHKm0Xas7YGMLDXeX30GYZGF//RDpK+0rNwTn88XCuenkpsd1gxvCmdbJc5FxePD38/oVnmMRTvCAeD2kymyVsrx28BGCKhYBolpWRi47BTuPE4p8HseJ6cjWy1CLhPgZl/0PjWvopTLsGBAQwRWcUVyehYGLz9VYHsCi9p+UiqV8PHxyfdIN1FJUshlmPf8p5+VpyXvE0KWS1skLAivTmoAoLqHA1YGNYGtlRzHbz7Bx2vDkZWtNlp82lUahUwoVHxU8mytFFg2pLHupNyApSF4mLO9lB/tY2XtVZDLjDsmxlopx5LBAbq+S+8tC0FUXP6n+OItbftpypQp+OKLLxAXF2eMeIgKTaWQY9F7jVA/p2X9wGWncO+pNMdpybKl5xQJqxSyQs8ha+DtjCWDAmAll2H3pYeYsvWi0cZ9PN9NmHPSTJeTjRKrhzZBJVdb3I9/hveWhei2c/5L16PGSFtP/2WvUmBlUO4pvkHLT+Fx8ovF7hbXp2b+/Pk4evQoPD09UaNGDTRs2DDPjagk2akUWDmkMaq62+NhYhoGLTuFJ/m8EYmKI7dIWL8Oqi2qumFu/waQCcD6M1GYufuaMcJjPY0ZKeugwh/Dm6KcozVuxiZj6KrTSM14se4qRnucuxgjEvRVxs4Kq4c2hZezDSIepyAon5ow7UqNs4mu1Oj9DujevbsRwiAqujJ2Vvh9WBP0WhiM249TMGTFaaz7oBlPgZDBFHSc+1XeqFseM3rWw8TN57HoyC24O6gMMin5eUxqzEuFMrZYPawJei8KRlhkPEb/GYbfBjaCUp67zvDQiCefClLOyVrz+3RRMC7cT8CHv5/B8iGNocr5u2/qKzV6vwO+/vprY8RBVCzlnWzyvBFHrDmLZYMD8vySICqq5+c+FUWfxt54lJyOH/dcw3c7L6Osgwpv1/c0WHzsUWN+qns4YPmQAAxYGoKDV2MxecsF/Nirnm77sKS3n55Xpaw9VgY1Rv/FJ3H85hNMWH8O8/r7I1OtRmqG5r1gqkkNf+OTxahS1h7LhzSGjVKOo9cf4fPN541Ww0ClS5qupqboA/xGtvHF4JyZQBM2hOvdiK0gSVypMUuNKrpgfv+GkMsEbAq9h1l7crcnc7efSj6pAYB6FZzx28AAKOUCdl6Ixvf/XNFtPckE002g9U5qZDIZ5HL5S29EUmrg7YxfB2h+SWw5ex8/7jFODQOVLsVdqQFy2tO/XQdd/DQdZj/4PRSXHiQYJL7cQmHTrHOgl2tf2wPTe/gBABYevoXfg+8AkG776Xktq7nhp971AQDLjkVg9t7rADTHuWVGPpFVVHqnWlu3bs3zdWZmJsLCwrBq1Sp88803BguMqKher+mO6T38MHHzefx6+BbKOVljUGAlqcMiM6btU1NQ473CkMsEzO5bH3EpGQi+/QRDV57G1pEt4OlsU6zXZU2NeevT2BsxiWn4ed91fP33JZR3skGMdkSCBNtPz+vWwAvRCWmYsesq1udM9TbV49xAEZKabt26vXBfr169UKdOHaxfvx7Dhg0zSGBExdGnsTceJqZh9r7r+N/fl+DlbIN2tTykDsuiJaZlwtFCVwq0R7r1Pf2UH5VCjkUDG6H3ohO4HpOMoBWnsXFEYLGunTapMdUtAXq10W2r4n78M6w7HYXRa8/qtjylXKnR+vC1KoiOf4ZVwXcBmG49DWDAmppmzZrhwIEDhno5omIb07Yq+gZ4Qy0Co/8Mw8X7hlnqpxeduPUYr806hF0XCj/t15xoV2qsDdTYzslGiRVBTeDuoMK1mCSM/OMsMovRnC8pjSs15k4QBHzXvS5aVy+rS2gcVAqTOMWp3TrtVEfzwdCrTPFWFo3JIO/QZ8+eYe7cufDy8jLEyxEZhCAImNajLlpVc8OzzGwMXXka9+OfSR2WRdp/ORbxqZkYtz4c4VHxUodjcGkGXKnR8nK2wfIhjWFrJcexm48xecuFIhe2c/vJMmhHFtTxdARgvJlPRSGXCZjb3x8/966PSZ1rSh3OS+md1JQpUwYuLi66W5kyZeDg4IDly5fjxx9/NEaMREWm/SVRw8MBsUnpGLriNBLTMqUOy+J88WZNvF6jrGYS8aozFpc8aguFDT2CoK6XExa8m3v65dfDt4r0Osk5f6ftuf1k9uxVCqwY0hhd/Mpj1OtVpQ4nD5VCjncaVUB5J9NdqdH7HfB///d/eb6WyWQoW7YsmjZtijJlyhgqLiKDcbRWYnlQY/RYcBzXYpIw+s8wLB8cAAV72BiMZhZXQ/RaeAJXHyZh2MrT2PhRIBwspMYmPbNoHYUL4/Wa7vimax18ue0iftxzDZXd7PCmX3m9XkNXU8OVGovg7miNBQPYob8o9H4HDB482BhxEBmVl7MNlg1ujN6/ncDR64/w/T9X8PXbdaQOy6LYqzQD+7ovOI6rD5MwZm0Ylg6yjOQxLUu7/WScP8t7zSri1qNkrDh+BxM2hMPL2Qb1vZ0L/f1Jz81+IirNivQOjY+Px88//4zhw4dj+PDh+OWXX5CQwCJMMm1+FZwwu08DAMCK43ewJuSutAFZIC9nGywdFABrpQyHr2mSR0tgzJUarS+71EabGpoi0eGrz+CBHlt4rKkh0tA7qTlz5gx8fX3xyy+/IC4uDnFxcZg9ezZ8fX1x9uxZY8RIZDBv+pXHpx2rAwC+/uuSQbu6kkZ9b2f88lzyuP50pLQBGYAxCoX/Sy4TMK+/P6p72ONRUjqGrzqT76DD/PBIN5GG3knN+PHj0bVrV9y5cwdbtmzBli1bEBERgbfeegvjxo0zQohEhjXq9aro1sATWWoRI9acxZ3HKVKHZHE6+5XHuPbVAABfbruI03fiJI6oeHTN9wxcKPxfDtZKLBvcGK52VrgcnYjPNr161IcoirkdhVWWUcNEVFRFWqn5/PPPoVDkfiJQKBSYOHEizpw5Y9DgiIxBEATMfKceGng7I+FZJt5ffUb3SZcMZ2zbanjTrxwys0V89Hso7j1NlTqkItOdfjLiSo2Wt4stFr7XCAqZgJ3no195Iio9S40stSbxYU0NlXZ6JzWOjo6IjHxxOTkqKgoODg4GCYrI2KyVcvw2sBHcHVS4EZuMCevDoVZz+KUhyWQCfupdH7XLO+JJSgbeXx1a6O0UU6PbfjLySo1Wk8ou+KabppD9p73XsP9yzEufqy0SFgTAtgSSLiJTpvc7tG/fvhg2bBjWr1+PqKgoREVFYd26dRg+fDj69+9vjBiJjMLD0RqLBjaClVyGvZdjMO/gTalDsji2VgosGRwAN3srXIlOxOebi95gTkrpWcYvFP6vAU0r4r1mPhBFYNz6cNyMTcr3eboiYSuFyQ4ZJCopeic1P/30E3r27IlBgwahUqVKqFSpEoYMGYJevXph5syZxoiRyGga+pTBtO51AQC/7L+OvZceShyR5fFytsGvAzTbKdvPPcCyYxFSh6S3kigUzs/Ut+qgSWUXJKdn4YPVofk2jtTW05hCO30iqemd1FhZWWHOnDl4+vQpwsPDER4ejri4OPzyyy9QqVTGiJHIqPo09sbgwIoAgPHrw3HrUbLEEVmeJpVd8GWXWgCA6buu4sQt8zp1lqY70l2yPXesFDIsHNAQnk7WuP04BZ9uOPfCNmlSOrsJE2kV+R1qa2sLPz8/VKxYEXv37sWVK5bRj4JKpy/fqo0mlV2QkpGNj34PRQoLhw1ucPNK6OnvhWy1iNF/hpnVKIX0nOZ7KkXJ16y42qvw63u526SLjuYtHE7mMEsiHb2Tmj59+mD+/PkANIMsAwIC0KdPH9SrVw+bN282eIBEJUEpl2H+u/66wuFJxRguSPkTBAE/9PRDHU9HxKVk4KPfQ3UrIKZOqpUarQbezvhf15zC4T3XcOxG7koXe9QQ5dL7HXr06FG0atUKALB161aIooj4+HjMnTsX06ZNM3iARCXF3UEzb0Vb+7HyxB2pQ7I41ko5Fr3XCM62Sly4n4BpOy9LHVKhpJVAR+FX6d/EG30CKkAtAmPWntUdkWc3YaJceic1CQkJcHFxAQDs3r0b77zzDmxtbdGlSxfcuHHD4AESlaTGlVww+U1N7cf3O6/gjJk3jTNF3i62+KVvAwDAHycj8Vf4fWkDKgTt9pO1BNtPWoIg4NtudeHn5YSnqZkY9WcYMrLUuXOfmNQQ6Z/UeHt7Izg4GCkpKdi9ezc6duwIAHj69Cmsra0NHiBRSRvaohLeqlceWWoRo/48iyfJ6VKHZHFer+GO0a9XBQBM3nLhpceVTYEoipJvP2lZK+X4dUBDOForcC4qHjN2Xc1dqeH2E5H+Sc24ceMwYMAAVKhQAeXLl0ebNm0AaLal/Pz8DB0fUYnTdhyuUtYOMYnp+GTjiydOqPjGd6iOwCquSM3Ixog/zppsY77MbBHa//tLoqPwq3i72OLnnNlay49HYE9OGwIHrtQQ6Z/UjBw5EsHBwVi+fDmOHz8OmUzzElWqVGFNDVkMO5UCC95tCJVCM2168b+3pQ7J4shlAub0b4CyOcXZX267KHVI+dLOfQKMP/upsDrU9sDwlpUBALcfaWaXcaWGqIhHugMCAtClSxfcv38fWVmaT1ddunRBixYtDBockZRqlXfE129rTpz8uOcaQu+yvsbQ3B2sMa+/P2QCsOXsfWw5e0/qkF6g3XoSBNNJagDg88414e/jrPuawyyJipDUpKamYtiwYbC1tUWdOnV0c6DGjBmDGTNmGDxAIin1b+KNt+t7IlstYsyfYXiakiF1SBanWRVXfNyuOgDNRO8IE5uanp6p7VEjgyCYzhgCTRuChnCy0SQzrvZWEkdEJD29k5rJkyfj3LlzOHz4cJ7C4Pbt22P9+vUGDY5IaoIg4IcedVHJ1RYPEtIwcfN59q8xgtFtq6JpZRekZmRjzNqzullLpkCKuU+F5eVsgz/fb4qJb9TA6zXcpQ6HSHJ6JzXbtm3D/Pnz0bJlyzyfWurUqYNbt24V8J1E5snBWon57zaEUi5g3+UYrD0VJXVIFkcuE/B//RrA2VaJi/cTMWv3NalD0smd0G16SQ0A1PF0wsg2VWFlQltjRFLR+13w6NEjuLu/+IkgJSXFpJZmiQyprpcTJnaqCQD4dscl3IzlfChDK+9kgx971QcALDsWgUNXYyWOSENbU6OS+Dg3Eb2a3u/SgIAA7Ny5U/e1NpFZunQpAgMDDRcZkYkZ1rIyWlVzQ1qmGh+vCzOpLRJL0aG2B4Y0rwQA+GzTeZPoEWTqKzVElEvvpOaHH37AF198gREjRiArKwtz5sxBx44dsWLFCnz//ffGiJHIJMhkAn7qXR9lbJW49CARs/delzokizSpc01U97DH4+R0TDaBGVym0niPiF5N73dpy5Ytce7cOWRlZcHPzw979+6Fu7s7goOD0ahRI2PESGQyPBytMfOdegCA347exombj1/xHaQva6Ucv/RtAKVcwN7LMdh4Rtpj3roJ3SZYKExEeemV1GRmZmLo0KEQBAFLlizBqVOncPnyZfzxxx/sJkylRsc65fBuUx8Ami2SxLRMiSOyPHU8nTChQw0AwDfbLyHySapksZjCMEsiKhy9khqlUonNmzcbKxYiszHlzVrwcbHF/fhn+G67eUyaNjcfvFYFTSq5ICUjG+M3hCNbolEV2o7C1jxdRGTy9H6Xdu/eHdu2bTNCKETmw06lwE+960MQgI2h97D/cozUIVkcuUzAz33qw16lQOjdp1h8VJpRFdpCYW4/EZk+vYeFVKtWDd9++y2OHz+ORo0awc7OLs/jY8eONVhwRKasSWUXvN+qChYfvY1JWy5gb8UycLFjV1dD8naxxddv18Znm87jl/3X0aG2O6q6O5RoDLrtJ67UEJk8vZOaZcuWwdnZGaGhoQgNDc3zmCAITGqoVJnQoToOXo3FzdhkfPXXRSx4t6HUIVmcXo0q4J8L0Th07RE+2Xgemz8KhEJecglGOmtqiMyG3r8ZIiIiXnq7fZuTjKl0sVbKMbtPfchlAnaej8Y/F6KlDsniCIKA6T3rwcFagXNR8Vh6LKJEf7729BOPdBOZPr5LiYqpXgVnjGzjCwCY+tclxKdy6KWhlXOyxldv1QYAzN53HTdjk0rsZ/P0E5H5MJukZvr06WjcuDEcHBzg7u6O7t2749o105kPQ6Xb6LZV4VvWDo+T0zFt5xWpw7FIvRtVQOvqZZGRpcanG8+X2GkoXUdhJjVEJs9skpojR45g1KhROHnyJPbt24fMzEx07NgRKSkpUodGBJVCjlm96kEQgE2h9/DvjUdSh2RxBEHAjHf84KBSIDwqHquD75TIz9Ue6VaxUJjI5JnNu3T37t0YMmQI6tSpg/r162PlypWIjIx8oVj5eenp6UhMTMxzIzKWRhVdMDiwEgBg8pYLSEnPkjYgC1TeyQaT3tQMFv1pzzU8iH9m9J+ZO9CSKzVEpk7vpCYyMjLfWSyiKCIyMtIgQRVGQkICAMDFxeWlz5k+fTqcnJx0N29v75IKj0qpzzrVgJezDe49fYaf9nJ71Bj6N/ZBQMUySMnIxtS/Lhp9NpSuUJgrNUQmT+93aeXKlfHo0YtL63FxcahcubJBgnoVtVqNcePGoUWLFqhbt+5Lnzd58mQkJCToblFRUSUSH5VedioFfuipGRmy6sQdXLiXIHFElkcmE/BDTz8o5QL2X4nF7osPjfrzWChMZD70TmpEUYQgCC/cn5ycDGtra4ME9SqjRo3CxYsXsW7dugKfp1Kp4OjomOdGZGytq5dFtwaeUIvAlG0XJGvvb8mqezhgRGvNibOv/75k1PlbLBQmMh+Fbr43YcIEAJpiva+++gq2tra6x7KzsxESEoIGDRoYPMD/Gj16NHbs2IGjR4+iQoUKRv95REUxpUstHLwai/P3EvBnyF0MzKm1IcMZ+XpV7DgfjduPUzBr91VM626cobq6mhpuPxGZvEK/S8PCwhAWFgZRFHHhwgXd12FhYbh69aqueNdYRFHE6NGjsXXrVhw8eLDEtrqIisLdwRqfddJMmZ615xpik9IkjsjyWCvl+L6HJpFZExKJ8/fijfJzcpvvcaWGyNQVeqXm0KFDAICgoCDMmTOnxLdyRo0ahT///BN//fUXHBwc8PChZh/dyckJNjY2JRoLUWEMaFoRm0Lv4fy9BPyw8wr+r5+/1CFZnEBfV/Tw98LWsPv46q9L2DqiOWSyF7fHiyO3poYrNUSmTu936YoVK+Do6IibN29iz549ePZMc6TS2CcQFi5ciISEBLRp0wbly5fX3davX2/Un0tUVHKZgGnd60IQgG3hD3Di5mOpQ7JIkzvXhL1KM0JhY6jhDwNwpYbIfOid1MTFxaFdu3aoXr063nzzTURHa2bdDBs2DJ988onBA9QSRTHf25AhQ4z2M4mKq14FZwxsVhEA8NVfF5GZrZY4Isvj7miNce2rAQBm7r5m8DEVuVO6mdQQmTq9k5px48ZBqVQiMjIyT7Fw3759sXv3boMGR2QJPulYAy52Vrj1KAV/nLwrdTgWaXDzSqjuYY+4lAz8vPe6wV5XFEVuPxGZEb3fpXv37sXMmTNfOHlUrVo13L3LX9hE/+Vko8SnHTVFw7/su464FA68NDSlXIb/da0DAFgTchcX7xumP1BmtgjtiXwVV2qITJ7eSU1KSkqeFRqtuLg4qFQqgwRFZGn6NvZGrfKOSEzLwux97DRsDM193fBWvfJQi8A32y8ZpM5PO/cJAFRcqSEyeXq/S1u1aoXVq1frvhYEAWq1GrNmzcLrr79u0OCILIVcJuDrt2sDAP4MicSVaM4hM4YpXWrBWinD6TtPsedS8TsNp+c03hME9qkhMgd6v0tnzZqFxYsXo3PnzsjIyMDEiRNRt25dHD16FDNnzjRGjEQWoVkVV3Tx06wkfLv9stFPDJZG5Z1s8EGrKgCA6buuIv25lZaieL7xXn6d1InItOid1NStWxfXr19Hy5Yt0a1bN6SkpKBnz54ICwuDr6+vMWIkshiTOteESiFD8O0n2HMpRupwLNKHrX1R1kGFu09S8Xtw8er8tEkRj3MTmQe9k5pDhw7ByckJU6ZMwYYNG/DPP/9g2rRpKF++PBYsWGCMGIkshreLLT54TbOSMHP3VR7xNgI7lQKfdqwOAJh74AaeFqMwWzf3iUXCRGZB76SmZ8+eCA0NfeH+OXPmYPLkyQYJisiSfdjaF272Voh4nIJ1pzk53hh6NfJGzXIOSEzLwpwDN4r8OrrtJxYJE5kFvd+pP/74Izp37oyrV6/q7vv5558xdepU7Ny506DBEVkie5UCY9tpmsXN2X8DKelZEkdkeeQyAV920RRm/3HyLm4/Si7S63Clhsi86J3UDB8+HJ9++inat2+PO3fuYObMmfj222/xzz//oFWrVsaIkcji9Gvsg4qutnicnI6l/0ZIHY5FalnNDW1ruiNLLRa5IV9uTQ1XaojMQZHeqRMnTsSAAQMQEBCAGTNmYM+ePWjRooWhYyOyWFYKmW6K9+Kjt/A4OV3iiCzTxDdqQBCAnReii9SQT7tSo2KhMJFZKNSU7rlz575wn5eXF2xtbfHaa6/h1KlTOHXqFABg7Nixho2QyEK9Wbc86lW4jfP3EjDvwA18062u1CFZnJrlHNGtvie2hT/AT3uvYWVQE72+P3dEApMaInNQqKTml19+yfd+uVyO48eP4/jx4wA0jfiY1BAVjkwmYFLnmnh3SQjWhEQiqEVlVHKzkzosizO+Q3XsOB+Nw9ce4VREHJpUdin092o7CrPxHpF5KFRSExHBPX8iY2ju64bW1cviyPVHmHvwBmb3aSB1SBanoqsd+jb2xpqQSPy45yo2fBhY6EZ6ukJhrtQQmQW9Pn5kZmbC19cXV65cMVY8RKXOhA6anirbwu4X+ZQOFWxM22pQKTTjEw5ff1To79NtP3Glhsgs6PVOVSqVSEtLM1YsRKVSfW9ntKvpDrUIzDt4U+pwLFI5J2sMbl4JAPDTnmtQqws3oiI9iys1ROZE748fo0aNwsyZM5GVxd4aRIYyrr1mteav8Pu4GcvVGmP4qLUv7FUKXHqQiL2XCzfsMj2TR7qJzIne79TTp09jy5Yt8PHxQadOndCzZ888NyLSn18FJ7Sv5QG1qGntT4bnYmeFoBaVAGhWxAozUJSnn4jMi95JjbOzM9555x106tQJnp6ecHJyynMjoqIZ117TZXj7+Qe4EZMkcTSWaWiLyrCzkuPSg0Qcuhb7yufr+tSwpobILBTq9NPzVqxYYYw4iEq9ul5O6FTHA3suxWDOgRuY/25DqUOyOGXsrPBeYEX8duQ25h64iddruBd4EiqNU7qJzAo/fhCZEG1tzc4L0bgZy9UaYxjesgqslTKER8Xj+M0nBT43nR2FicxKkZKaTZs2oU+fPmjWrBkaNmyY50ZERVervCM61vaAKAK/HbktdTgWqayDCv2b+AAA5h4suH5Jt1LD7Scis6D3O3Xu3LkICgqCh4cHwsLC0KRJE7i6uuL27dvo3LmzMWIkKlU+auMLANgWfh/RCc8kjsYyffiaL6zkMpyKiEPI7Zev1rBQmMi86J3U/Prrr1i8eDHmzZsHKysrTJw4Efv27cPYsWORkKD/wDgiyquhTxk0qeyCzGwRy4+xm7cxlHOyRu+ACgCA+Yde3huIHYWJzIveSU1kZCSaN28OALCxsUFSkmbff+DAgVi7dq1hoyMqpUa01qzW/BkSiYTUTImjsUwftfaFQibg3xuPceFe/h/ItCs1PP1EZB70fqeWK1cOcXFxAAAfHx+cPHkSgGY+VGH6PhDRq7WpURY1yzkgJSMbf4TclToci+TtYou36pUHACw7ln/9EjsKE5kXvZOatm3b4u+//wYABAUFYfz48ejQoQP69u2LHj16GDxAotJIEAR8lLNas/xYhG7FgAxreKsqAIAd56PzrV9iR2Ei86L3O3Xx4sWYMmUKAM3IhOXLl6NWrVr49ttvsXDhQoMHSFRavVWvPLycbfAkJQMbQ+9JHY5FquvlhGZVXJClFrHyxJ0XHk/jSg2RWdE7qZHJZFAocnv29evXD3PnzsWYMWNgZWVl0OCISjOFXIb3W1UGACw5ehvZhRzCSPoZ3lKzWvNnSCSS0/POtMud0s2khsgc6N1RGADS0tJw/vx5xMbGQq1W53msa9euBgmMiIA+jb3xy/4biIxLxaGrsWhf20PqkCxO25ruqFLWDrcfpWDjmSgEtdAkkqIo5hYKc/uJyCzondTs3r0bgwYNwuPHj194TBAEZGdz75/IUGytFOjb2BuLj97GquA7TGqMQCYTMKxlZUzZehHLj0dgUGAlyGUCMrNFaBfHuFJDZB70/vgxZswY9O7dG9HR0VCr1XluTGiIDG9gs4oQBODfG49xMzZZ6nAsUk//Cihjq0RU3DPsvfQQAJCelfv7jCs1ROZB73dqTEwMJkyYAA8PfmIkKgneLrZoX0vzflsdfEfaYCyUjZUcA5tVBAAszWl4qG28JwjsU0NkLvR+p/bq1QuHDx82QihE9DJDmlcCAGwKvYfENDbjM4b3AitCIRMQevcpLj9IzNN4r6BJ3kRkOvSuqZk/fz569+6Nf//9F35+flAqlXkeHzt2rMGCIyKN5r6uqOZujxuxydh05h6GtqwsdUgWx93BGp3qlsPO89FYE3IXQS0qAeBxbiJzondSs3btWuzduxfW1tY4fPhwnk8wgiAwqSEyAkEQMLh5JXy57SJWB9/BkOaVIJNx9cDQBjT1wc7z0dgWdh9v1/cEwK0nInOi97t1ypQp+Oabb5CQkIA7d+4gIiJCd7t9O/9W40RUfD38veBgrcCdJ6k4cv2R1OFYpMAqrqhS1g4pGdlYfzoKAFdqiMyJ3klNRkYG+vbtC5mMn16ISpKdSoE+Ad4AWDBsLIIgYEBTTcHwjvMPAPA4N5E50TszGTx4MNavX2+MWIjoFd7LOaFz5PojPExIkzgay/ROQy+oFDJkZmua1HDuE5H50LumJjs7G7NmzcKePXtQr169FwqFZ8+ebbDgiCivym52aFLJBafuxGFTaBRGt60mdUgWx9nWCm/X98SmnHlbKm4/EZkNvZOaCxcuwN/fHwBw8eLFPI/x2COR8fVp7I1Td+Kw4cw9jGxTlQXDRjCgqY8uqWFNDZH50DupOXTokDHiIKJCetOvHP739yVExqXiZMQTNPd1kzoki9PA2xm1yzvicnQiTz8RmRG+W4nMjK2VQnfceEPOCR0yLEEQ8GFrzfTuGh4OEkdDRIVVpCndRCStvo29sfZUJHZdfIhvnmXCyUb56m8ivXRr4IV6FZzh5WwjdShEVEhcqSEyQ/UrOKGGhwPSs9T4+9wDqcOxWJXd7GDF7Scis8F3K5EZEgQBfRpretZwC4qISINJDZGZ6uHvBaVcwIX7Cbj8IFHqcIiIJFeompq///670C/YtWvXIgdDRIXnYmeFDrU98M+Fh9gUeg9TPWtLHRIRkaQKldR07949z9eCIEAUxTxfa2VnZxsmMiJ6pR7+FfDPhYfYeeEBpnSpBTl71hBRKVao7Se1Wq277d27Fw0aNMCuXbsQHx+P+Ph4/PPPP2jYsCF2795t7HiJ6DmvVXeDo7UCMYnpOH0nTupwiIgkpfeR7nHjxmHRokVo2bKl7r5OnTrB1tYWH3zwAa5cuWLQAIno5VQKOd6oWw4bztzD9nMP0KyKq9QhERFJRu9C4Vu3bsHZ2fmF+52cnHDnzh0DhERE+tA24vvnQjQys9USR0NEJB29k5rGjRtjwoQJiImJ0d0XExODzz77DE2aNDFocET0aoFVXOFmb4WnqZk4fvOx1OEQEUlG76Rm+fLliI6Oho+PD6pWrYqqVavCx8cH9+/fx7Jly4wRIxEVQCGX4U2/8gCA7eeiJY6GiEg6etfUVK1aFefPn8e+fftw9epVAECtWrXQvn17Tukmksjb9T2xOvgu9l56iLTMupwsTUSlUpFmPwmCgI4dO+K1116DSqViMkMksUY+ZeDpZI0HCWk4fO0R3qhbTuqQiIhKnN7bT2q1Gt999x28vLxgb2+PiIgIAMBXX33F7SciichkAt7KKRjefp6zoIiodNI7qZk2bRpWrlyJWbNmwcrKSnd/3bp1sXTpUoMGR0SF1zUnqTlwJQYp6VkSR0NEVPL0TmpWr16NxYsXY8CAAZDLc/ft69evr6uxIaKSV8fTEZXd7JCWqcbBq7FSh0NEVOL0Tmru37+PqlWrvnC/Wq1GZmamQYIiIv0JgoCOdTwAaFZriIhKG72Tmtq1a+Pff/994f5NmzbB39/fIEERUdG0r6VJag5de4QsNuIjolJG79NPU6dOxeDBg3H//n2o1Wps2bIF165dw+rVq7Fjxw5jxEhEhdTQpwzK2CrxNDUTZ+4+5dgEIipV9F6p6datG7Zv3479+/fDzs4OU6dOxZUrV7B9+3Z06NDBGDESUSHJZQJer+kOANh/mVtQRFS6CKIoilIHUVISExPh5OSEhIQEODo6Sh0OkVHsuhCNEWvOopKrLQ592oZ9pIjI7BX232+9V2qGDh2KVatW5fsDhw4dqu/L6eXo0aN4++234enpCUEQsG3bNqP+PCJz1Kp6WVjJZbjzJBW3HqVIHQ4RUYnRO6lZuXIlRo4cibFjx0Ktzi1EfPbsWb7JjiGlpKSgfv36WLBggVF/DpE5s1cp0MxXU0uzn6egiKgU0TupAYCdO3fin3/+QadOnfD06VNDx/RSnTt3xrRp09CjR49CPT89PR2JiYl5bkSlQftamroaHu0motKkSElN7dq1ERISgszMTDRp0gRXrlwxdFwGMX36dDg5Oelu3t7eUodEVCLa5RztDr37FHEpGRJHQ0RUMvROarRFh66urti/fz9at26NwMBA/P333wYPrrgmT56MhIQE3S0qKkrqkIhKhJezDWqVd4RaBA6xuzARlRJ696l5/rCUQqHA0qVLUbt2bYwcOdKggRmCSqWCSqWSOgwiSXSo5Y4r0YnYfyUG7zSqIHU4RERGp3dSc+jQIbi4uOS5b8KECahXrx6OHz9usMCIqHja1fLA3IM3cfT6I6RnZUOlkL/6m4iIzJjeSU3r1q3zvb99+/Zo3759sQMiIsPw83KCm70VHidnICwynt2FicjiFSqpmTBhAr777jvY2dlhwoQJBT539uzZBgksP8nJybh586bu64iICISHh8PFxQU+Pj5G+7lE5kgmExDo64bt5x7gxK0nTGqIyOIVKqkJCwvTTeAOCwt76fOM3bn0zJkzeP3113VfaxOswYMHY+XKlUb92UTmqLmvK7afe4DgW4+BDtWlDoeIyKgKldQcOnQo3/8uaW3atEEpmupAVGwtfN0AAGGR8UjNyIKtld47zkREZqNIfWqIyDx4u9jAy9kGWWoRpyLipA6HiMioCvWxrWfPnoV+wS1bthQ5GCIyLEEQ0NzXFRtD7yH41hO0qeEudUhEREZTqKTGycnJ2HEQkZG0qOqGjaH3cOLWE6lDISIyqkIlNStWrDB2HERkJIE5wy0vPkhAfGoGnG2tJI6IiMg4WFNDZOE8HK3hW9YOogicvM26GiKyXEU6CrFp0yZs2LABkZGRyMjIOyzv7NmzBgmMiAynRVU33HqUguBbj/FG3XJSh0NEZBR6r9TMnTsXQUFB8PDwQFhYGJo0aQJXV1fcvn0bnTt3NkaMRFRMzXO2oFhXQ0SWTO+k5tdff8XixYsxb948WFlZYeLEidi3bx/Gjh2LhIQEY8RIRMXUrIorBAG4EZuM2MQ0qcMhIjIKvZOayMhING/eHABgY2ODpKQkAMDAgQOxdu1aw0ZHRAbhbGuFOp6OAIDg21ytISLLpHdSU65cOcTFaYoNfXx8cPLkSQCaOUzs9ktkuprndBc+cZNJDRFZJr2TmrZt2+Lvv/8GAAQFBWH8+PHo0KED+vbtix49ehg8QCIyDO3Rbq7UEJGl0vv00+LFi6FWqwEAo0aNgqurK06cOIGuXbviww8/NHiARGQYjSqWAQBExqXiSXI6XO1VEkdERGRYeic1MpkMMlnuAk+/fv3Qr18/gwZFRIbnaK2Eb1k73HqUgvCoeLSr5SF1SEREBlWkPjVpaWk4f/48YmNjdas2Wl27djVIYERkeA28yzCpISKLpXdSs3v3bgwaNAiPHz9+4TFBEJCdnW2QwIjI8Br4OGPz2XsIj4qXOhQiIoPTu1B4zJgx6N27N6Kjo6FWq/PcmNAQmTZ/b2cAQHhUPNRqnlYkIsuid1ITExODCRMmwMODS9dE5qZGOQeoFDIkpWXh9uMUqcMhIjIovZOaXr164fDhw0YIhYiMTSmXwc/LCQBwjltQRGRh9K6pmT9/Pnr37o1///0Xfn5+UCqVeR4fO3aswYIjIsNr4O2MM3efIjwqHu80qiB1OEREBqN3UrN27Vrs3bsX1tbWOHz4MARB0D0mCAKTGiIT18DHGQBYLExEFkfvpGbKlCn45ptvMGnSpDz9aojIPDTIKRa+Ep2ItMxsWCvl0gZERGQgemclGRkZ6Nu3LxMaIjPl5WwDN3sVstQiLj1IkDocIiKD0TszGTx4MNavX2+MWIioBAiCoFutCYuMlzQWIiJD0nv7KTs7G7NmzcKePXtQr169FwqFZ8+ebbDgiMg4/H2csf9KDOtqiMii6J3UXLhwAf7+/gCAixcv5nns+aJhIjJd9Ss4A2CxMBFZFr2SmuzsbHzzzTfw8/NDmTJljBUTERlZPW8nCAJw7+kzPE5OhxsndhORBdCrpkYul6Njx46Ij483UjhEVBI0E7vtAQDhrKshIguhd6Fw3bp1cfv2bWPEQkQlqMFzc6CIiCyB3knNtGnT8Omnn2LHjh2Ijo5GYmJinhsRmYf6OUnNRR7rJiILoXeh8JtvvgkA6Nq1a57CYFEUIQgCJ3UTmYma5RwAADdikiWOhIjIMPROag4dOmSMOIiohFV31yQ19+OfISktEw7Wyld8BxGRadM7qWndurUx4iCiEuZkq4S7gwqxSem4EZuMhj480UhE5k3vpAYA4uPjsWzZMly5cgUAUKdOHQwdOhROTk4GDY6IjKu6h4MmqYlJYlJDRGZP70LhM2fOwNfXF7/88gvi4uIQFxeH2bNnw9fXF2fPnjVGjERkJNU8NMe6r7OuhogsgN4rNePHj0fXrl2xZMkSKBSab8/KysLw4cMxbtw4HD161OBBEpFxVPfQ1NVcj0mSOBIiouLTO6k5c+ZMnoQGABQKBSZOnIiAgACDBkdExlU9Z6WGJ6CIyBLovf3k6OiIyMjIF+6PioqCg4ODQYIiopJRNecE1MPENCQ8y5Q4GiKi4tE7qenbty+GDRuG9evXIyoqClFRUVi3bh2GDx+O/v37GyNGIjISJxslyjtZAwBuxnILiojMm97bTz/99BMEQcCgQYOQlZUFAFAqlRgxYgRmzJhh8ACJyLiqeTggOiEN12OS0aiii9ThEBEVmd5JjZWVFebMmYPp06fj1q1bAABfX1/Y2toaPDgiMr7q7vY4ev0Rrj3kSg0Rmbci9akBAFtbW/j5+RkyFiKSgPYE1A1uPxGRmdM7qUlJScGMGTNw4MABxMbGQq1W53mcE7yJzAt71RCRpdA7qRk+fDiOHDmCgQMHonz58nmGWhKR+amWs1LzKCkd8akZcLa1kjgiIqKi0Tup2bVrF3bu3IkWLVoYIx4iKmH2KgW8nG1wP/4Zrscko0llFgsTkXnS+0h3mTJl4OLCX3pEliR3C4p1NURkvvROar777jtMnToVqampxoiHiCRQQ1sszKSGiMyY3ttPP//8M27dugUPDw9UqlQJSqUyz+McaklkfqrpZkCxWJiIzJfeSU337t2NEAYRSak6t5+IyALondR8/fXXxoiDiCRU1V2T1DxJycCT5HS42qskjoiISH9619QQkeWxtVLA28UGALegiMh8MakhIgBAdXd2FiYi88akhogAAJXc7AAAUXE82UhE5olJDREBALycNdtP9+OfSRwJEVHRMKkhIgCAV5mcpOYpkxoiMk96n37Kzs7GypUrXzrQ8uDBgwYLjohKDldqiMjc6Z3UfPzxx1i5ciW6dOmCunXrcqAlkYWokLNS8zg5A2mZ2bBWyiWOiIhIP3onNevWrcOGDRvw5ptvGiMeIpKIk40SdlZypGRk4378M/iWtZc6JCIivehdU2NlZYWqVasaIxYikpAgCKyrISKzpndS88knn2DOnDkQRdEY8RCRhFhXQ0TmTO/tp2PHjuHQoUPYtWsX6tSp88JAyy1bthgsOCIqWVypISJzpndS4+zsjB49ehgjFiKSmCdXaojIjOmd1KxYscIYcRCRCdBtP3GlhojMEJvvEZGO9lg3V2qIyBwVKanZtGkT+vTpg2bNmqFhw4Z5bsa2YMECVKpUCdbW1mjatClOnTpl9J9JVFp4OdsCAB4mpiErW/2KZxMRmRa9k5q5c+ciKCgIHh4eCAsLQ5MmTeDq6orbt2+jc+fOxohRZ/369ZgwYQK+/vprnD17FvXr10enTp0QGxtr1J9LVFq4O6iglAvIVot4mJgmdThERHrRO6n59ddfsXjxYsybNw9WVlaYOHEi9u3bh7FjxyIhIcEYMerMnj0b77//PoKCglC7dm0sWrQItra2WL58uVF/LlFpIZMJKO/EuhoiMk96JzWRkZFo3rw5AMDGxgZJSUkAgIEDB2Lt2rWGje45GRkZCA0NRfv27XX3yWQytG/fHsHBwfl+T3p6OhITE/PciKhg7FVDROZK76SmXLlyiIuLAwD4+Pjg5MmTAICIiAijNuR7/PgxsrOz4eHhked+Dw8PPHz4MN/vmT59OpycnHQ3b29vo8VHZCm0vWoeMKkhIjOjd1LTtm1b/P333wCAoKAgjB8/Hh06dEDfvn1Nrn/N5MmTkZCQoLtFRUVJHRKRyeNKDRGZK7371CxevBhqteZUxKhRo+Dq6ooTJ06ga9eu+PDDDw0eoJabmxvkcjliYmLy3B8TE4Ny5crl+z0qlQoqlcpoMRFZIu1KzT3W1BCRmdE7qZHJZJDJchd4+vXrh379+hk0qPxYWVmhUaNGOHDgALp37w4AUKvVOHDgAEaPHm30n09UWlTgSg0Rmaki9an5999/8d577yEwMBD3798HAPz+++84duyYQYP7rwkTJmDJkiVYtWoVrly5ghEjRiAlJQVBQUFG/blEpcnzNTUcXEtE5kTvpGbz5s3o1KkTbGxsEBYWhvT0dABAQkICfvjhB4MH+Ly+ffvip59+wtSpU9GgQQOEh4dj9+7dLxQPE1HRlXeygSAAaZlqPEnJkDocIqJC0zupmTZtGhYtWoQlS5bkmdDdokULnD171qDB5Wf06NG4e/cu0tPTERISgqZNmxr9ZxKVJlYKGdwdNLVo7FVDROZE76Tm2rVreO21116438nJCfHx8YaIiYgkxhNQRGSOitSn5ubNmy/cf+zYMVSpUsUgQRGRtLzKaGZAcaWGiMyJ3knN+++/j48//hghISEQBAEPHjzAmjVr8Omnn2LEiBHGiJGIShhXaojIHOl9pHvSpElQq9Vo164dUlNT8dprr0GlUuHTTz/FmDFjjBEjEZUw9qohInOkd1IjCAKmTJmCzz77DDdv3kRycjJq164Ne3t7Y8RHRBJgrxoiMkd6JzVaVlZWqF27tiFjISIToV2puf80VeJIiIgKr9BJzdChQwv1vOXLlxc5GCIyDdqamsS0LCSlZcLBWvmK7yAikl6hk5qVK1eiYsWK8Pf3Z5dRIgtnp1LA2VaJ+NRM3I9/hprlmNQQkekrdFIzYsQIrF27FhEREQgKCsJ7770HFxcXY8ZGRBIq52iN+NRMxCamo2b+M2OJiExKoY90L1iwANHR0Zg4cSK2b98Ob29v9OnTB3v27OHKDZEFcrbVrM7EP8uUOBIiosLRq0+NSqVC//79sW/fPly+fBl16tTByJEjUalSJSQnJxsrRiKSgLONFQAgIZXzn4jIPBRpSjcAyGQyCIIAURSRnZ1tyJiIyASUsdOs1DxN5UoNEZkHvZKa9PR0rF27Fh06dED16tVx4cIFzJ8/H5GRkexTQ2RhnHJWauKZ1BCRmSh0ofDIkSOxbt06eHt7Y+jQoVi7di3c3NyMGRsRSUhXU8PtJyIyE4VOahYtWgQfHx9UqVIFR44cwZEjR/J93pYtWwwWHBFJpwwLhYnIzBQ6qRk0aBAEQTBmLERkQnK3n7hSQ0TmQa/me0RUeuhWalhTQ0Rmosinn4jIsjnb5qzUcPuJiMwEkxoiytfzhcJqNRtsEpHpY1JDRPlystEkNWoRSErPkjgaIqJXY1JDRPmyVspho5QDABJYV0NEZoBJDRG9lHYL6ilPQBGRGWBSQ0QvxWJhIjInTGqI6KWcbdhVmIjMB5MaInop7VBL9qohInPApIaIXopDLYnInDCpIaKX0vWqecbtJyIyfUxqiOilOCqBiMwJkxoieilnDrUkIjPCpIaIXspJ16eGKzVEZPqY1BDRS5XJ6VOTwD41RGQGmNQQ0Us9P9SSiMjUMakhopfSJjUJzzI5qZuITB6TGiJ6qTyTutM4qZuITBuTGiJ6KZVCDlsrzaRu9qohIlPHpIaICqQtFuYJKCIydUxqiKhAThxqSURmgkkNERXImV2FichMMKkhogJpt5+4UkNEpo5JDREVyEk31JIrNURk2pjUEFGBONSSiMwFkxoiKhCHWhKRuWBSQ0QF4vYTEZkLJjVEVCD2qSEic8GkhogKpJv/xO0nIjJxTGqIqEDOOc33uFJDRKaOSQ0RFcg5Z/spMS0T2ZzUTUQmjEkNERVIOyZBFIGkNK7WEJHpYlJDRAWyUshgr1IA4BYUEZk2JjVE9EocaklE5oBJDRG9kjN71RCRGWBSQ0SvxKGWRGQOmNQQ0Ss5cf4TEZkBJjVE9ErsVUNE5oBJDRG9knb7iV2FiciUMakholdioTARmQMmNUT0Ss4caklEZoBJDRG9kramhttPRGTKmNQQ0Stx+4mIzAGTGiJ6Jd32UwpXaojIdDGpIaJX0q7UJKZlcVI3EZksJjVE9EpONkrIBM3/JqdlSR0OEVG+FFIHQESmTymX4cb3b0IuE6QOhYjopbhSQ0SFwoSGiEyd2SQ133//PZo3bw5bW1s4OztLHQ4RERGZGLNJajIyMtC7d2+MGDFC6lCIiIjIBJlNTc0333wDAFi5cqW0gRAREZFJMpukpijS09ORnp6u+zoxMVHCaIiIiMiYzGb7qSimT58OJycn3c3b21vqkIiIiMhIJE1qJk2aBEEQCrxdvXq1yK8/efJkJCQk6G5RUVEGjJ6IiIhMiaTbT5988gmGDBlS4HOqVKlS5NdXqVRQqVRF/n4iIiIyH5ImNWXLlkXZsmWlDIGIiIgshNkUCkdGRiIuLg6RkZHIzs5GeHg4AKBq1aqwt7eXNjgiIiKSnNkkNVOnTsWqVat0X/v7+wMADh06hDZt2kgUFREREZkKQRTFUjNyNzExEU5OTkhISICjo6PU4RAREVEhFPbfb4s+0k1ERESlB5MaIiIisghmU1NjCNqdNnYWJiIiMh/af7dfVTFTqpKapKQkAGBnYSIiIjOUlJQEJyenlz5eqgqF1Wo1Hjx4AAcHBwiCYLDXTUxMhLe3N6KioliAXAi8Xvrh9dIPr1fh8Vrph9dLP4a8XqIoIikpCZ6enpDJXl45U6pWamQyGSpUqGC013d0dORfdD3weumH10s/vF6Fx2ulH14v/RjqehW0QqPFQmEiIiKyCExqiIiIyCIwqTEAlUqFr7/+msMzC4nXSz+8Xvrh9So8Xiv98HrpR4rrVaoKhYmIiMhycaWGiIiILAKTGiIiIrIITGqIiIjIIjCpISIiIovApMYAFixYgEqVKsHa2hpNmzbFqVOnpA5JctOnT0fjxo3h4OAAd3d3dO/eHdeuXcvznLS0NIwaNQqurq6wt7fHO++8g5iYGIkiNi0zZsyAIAgYN26c7j5er7zu37+P9957D66urrCxsYGfnx/OnDmje1wURUydOhXly5eHjY0N2rdvjxs3bkgYsXSys7Px1VdfoXLlyrCxsYGvry++++67PHN0SvP1Onr0KN5++214enpCEARs27Ytz+OFuTZxcXEYMGAAHB0d4ezsjGHDhiE5ObkE/xQlo6BrlZmZic8//xx+fn6ws7ODp6cnBg0ahAcPHuR5DWNeKyY1xbR+/XpMmDABX3/9Nc6ePYv69eujU6dOiI2NlTo0SR05cgSjRo3CyZMnsW/fPmRmZqJjx45ISUnRPWf8+PHYvn07Nm7ciCNHjuDBgwfo2bOnhFGbhtOnT+O3335DvXr18tzP65Xr6dOnaNGiBZRKJXbt2oXLly/j559/RpkyZXTPmTVrFubOnYtFixYhJCQEdnZ26NSpE9LS0iSMXBozZ87EwoULMX/+fFy5cgUzZ87ErFmzMG/ePN1zSvP1SklJQf369bFgwYJ8Hy/MtRkwYAAuXbqEffv2YceOHTh69Cg++OCDkvojlJiCrlVqairOnj2Lr776CmfPnsWWLVtw7do1dO3aNc/zjHqtRCqWJk2aiKNGjdJ9nZ2dLXp6eorTp0+XMCrTExsbKwIQjxw5IoqiKMbHx4tKpVLcuHGj7jlXrlwRAYjBwcFShSm5pKQksVq1auK+ffvE1q1bix9//LEoirxe//X555+LLVu2fOnjarVaLFeunPjjjz/q7ouPjxdVKpW4du3akgjRpHTp0kUcOnRonvt69uwpDhgwQBRFXq/nARC3bt2q+7ow1+by5csiAPH06dO65+zatUsUBEG8f/9+icVe0v57rfJz6tQpEYB49+5dURSNf624UlMMGRkZCA0NRfv27XX3yWQytG/fHsHBwRJGZnoSEhIAAC4uLgCA0NBQZGZm5rl2NWvWhI+PT6m+dqNGjUKXLl3yXBeA1+u//v77bwQEBKB3795wd3eHv78/lixZons8IiICDx8+zHO9nJyc0LRp01J5vZo3b44DBw7g+vXrAIBz587h2LFj6Ny5MwBer4IU5toEBwfD2dkZAQEBuue0b98eMpkMISEhJR6zKUlISIAgCHB2dgZg/GtVqgZaGtrjx4+RnZ0NDw+PPPd7eHjg6tWrEkVletRqNcaNG4cWLVqgbt26AICHDx/CyspK9xddy8PDAw8fPpQgSumtW7cOZ8+exenTp194jNcrr9u3b2PhwoWYMGECvvjiC5w+fRpjx46FlZUVBg8erLsm+b03S+P1mjRpEhITE1GzZk3I5XJkZ2fj+++/x4ABAwCA16sAhbk2Dx8+hLu7e57HFQoFXFxcSvX1S0tLw+eff47+/fvrBloa+1oxqSGjGzVqFC5evIhjx45JHYrJioqKwscff4x9+/bB2tpa6nBMnlqtRkBAAH744QcAgL+/Py5evIhFixZh8ODBEkdnejZs2IA1a9bgzz//RJ06dRAeHo5x48bB09OT14uMIjMzE3369IEoili4cGGJ/VxuPxWDm5sb5HL5CydQYmJiUK5cOYmiMi2jR4/Gjh07cOjQIVSoUEF3f7ly5ZCRkYH4+Pg8zy+t1y40NBSxsbFo2LAhFAoFFAoFjhw5grlz50KhUMDDw4PX6znly5dH7dq189xXq1YtREZGAoDumvC9qfHZZ59h0qRJ6NevH/z8/DBw4ECMHz8e06dPB8DrVZDCXJty5cq9cDgkKysLcXFxpfL6aROau3fvYt++fbpVGsD414pJTTFYWVmhUaNGOHDggO4+tVqNAwcOIDAwUMLIpCeKIkaPHo2tW7fi4MGDqFy5cp7HGzVqBKVSmefaXbt2DZGRkaXy2rVr1w4XLlxAeHi47hYQEIABAwbo/pvXK1eLFi1eaBFw/fp1VKxYEQBQuXJllCtXLs/1SkxMREhISKm8XqmpqZDJ8v66l8vlUKvVAHi9ClKYaxMYGIj4+HiEhobqnnPw4EGo1Wo0bdq0xGOWkjahuXHjBvbv3w9XV9c8jxv9WhW71LiUW7dunahSqcSVK1eKly9fFj/44APR2dlZfPjwodShSWrEiBGik5OTePjwYTE6Olp3S01N1T3no48+En18fMSDBw+KZ86cEQMDA8XAwEAJozYtz59+EkVer+edOnVKVCgU4vfffy/euHFDXLNmjWhrayv+8ccfuufMmDFDdHZ2Fv/66y/x/PnzYrdu3cTKlSuLz549kzByaQwePFj08vISd+zYIUZERIhbtmwR3dzcxIkTJ+qeU5qvV1JSkhgWFiaGhYWJAMTZs2eLYWFhuhM7hbk2b7zxhujv7y+GhISIx44dE6tVqyb2799fqj+S0RR0rTIyMsSuXbuKFSpUEMPDw/P87k9PT9e9hjGvFZMaA5g3b57o4+MjWllZiU2aNBFPnjwpdUiSA5DvbcWKFbrnPHv2TBw5cqRYpkwZ0dbWVuzRo4cYHR0tXdAm5r9JDa9XXtu3bxfr1q0rqlQqsWbNmuLixYvzPK5Wq8WvvvpK9PDwEFUqldiuXTvx2rVrEkUrrcTERPHjjz8WfXx8RGtra7FKlSrilClT8vxDU5qv16FDh/L9fTV48GBRFAt3bZ48eSL2799ftLe3Fx0dHcWgoCAxKSlJgj+NcRV0rSIiIl76u//QoUO61zDmtRJE8bmWkkRERERmijU1REREZBGY1BAREZFFYFJDREREFoFJDREREVkEJjVERERkEZjUEBERkUVgUkNEREQWgUkNERERWQQmNURkNoYMGYLu3btLHQYRmSiF1AEQEQGAIAgFPv71119jzpw5YBN0InoZJjVEZBKio6N1/71+/XpMnTo1zyRue3t72NvbSxEaEZkJbj8RkUkoV66c7ubk5ARBEPLcZ29v/8L2U5s2bTBmzBiMGzcOZcqUgYeHB5YsWYKUlBQEBQXBwcEBVatWxa5du/L8rIsXL6Jz586wt7eHh4cHBg4ciMePH5fwn5iIDI1JDRGZtVWrVsHNzQ2nTp3CmDFjMGLECPTu3RvNmzfH2bNn0bFjRwwcOBCpqakAgPj4eLRt2xb+/v44c+YMdu/ejZiYGPTp00fiPwkRFReTGiIya/Xr18eXX36JatWqYfLkybC2toabmxvef/99VKtWDVOnTsWTJ09w/vx5AMD8+fPh7++PH374ATVr1oS/vz+WL1+OQ4cO4fr16xL/aYioOFhTQ0RmrV69err/lsvlcHV1hZ+fn+4+Dw8PAEBsbCwA4Ny5czh06FC+9Tm3bt1C9erVjRwxERkLkxoiMmtKpTLP14Ig5LlPe6pKrVYDAJKTk/H2229j5syZL7xW+fLljRgpERkbkxoiKlUaNmyIzZs3o1KlSlAo+CuQyJKwpoaISpVRo0YhLi4O/fv3x+nTp3Hr1i3s2bMHQUFByM7Oljo8IioGJjVEVKp4enri+PHjyM7ORseOHeHn54dx48bB2dkZMhl/JRKZM0Fke04iIiKyAPxYQkRERBaBSQ0RERFZBCY1REREZBGY1BAREZFFYFJDREREFoFJDREREVkEJjVERERkEZjUEBERkUVgUkNEREQWgUkNERERWQQmNURERGQR/h+BdSiRJJ7QKAAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(\n", - " np.log(\n", - " np.mean(PFexample.history[\"mNrm\"], axis=1)\n", - " - np.min(np.mean(PFexample.history[\"mNrm\"], axis=1)),\n", - " ),\n", - ")\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Mean normalized market resources\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "603ae6e5", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:02.826424Z", - "iopub.status.busy": "2024-07-11T15:34:02.826181Z", - "iopub.status.idle": "2024-07-11T15:34:02.829695Z", - "shell.execute_reply": "2024-07-11T15:34:02.829265Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "(0,)" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "PFexample.newborn_init_history[\"pLvl\"][1, PFexample.history[\"who_dies\"][1, :] > 0].shape" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "567440dd", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:02.830992Z", - "iopub.status.busy": "2024-07-11T15:34:02.830825Z", - "iopub.status.idle": "2024-07-11T15:34:02.834069Z", - "shell.execute_reply": "2024-07-11T15:34:02.833623Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "(0,)" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "PFexample.newborn_init_history[\"aNrm\"][2, PFexample.history[\"who_dies\"][2, :] > 0].shape" - ] - }, - { - "cell_type": "markdown", - "id": "0ead3ec8", - "metadata": {}, - "source": [ - "## Using the Generic Monte Carlo Simulator" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "adfbe431", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:02.835418Z", - "iopub.status.busy": "2024-07-11T15:34:02.835248Z", - "iopub.status.idle": "2024-07-11T15:34:03.072702Z", - "shell.execute_reply": "2024-07-11T15:34:03.072124Z" - } - }, - "outputs": [], - "source": [ - "import HARK.models.perfect_foresight_normalized as pfn\n", - "from HARK.distribution import Lognormal\n", - "from HARK.simulation.monte_carlo import AgentTypeMonteCarloSimulator" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "5a0c394b", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:03.074937Z", - "iopub.status.busy": "2024-07-11T15:34:03.074443Z", - "iopub.status.idle": "2024-07-11T15:34:03.078102Z", - "shell.execute_reply": "2024-07-11T15:34:03.077454Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "DBlock(name='', description='', shocks={'live': }, dynamics={'p': at 0x7f39a5da56c0>, 'r_eff': at 0x7f39a2a97740>, 'b_nrm': at 0x7f39a2a977e0>, 'm_nrm': at 0x7f39a2a97880>, 'c_nrm': , 'a_nrm': at 0x7f39a2a97920>}, reward={'u': at 0x7f39a2a979c0>})" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pfn.block" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "e9d068bd", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:03.079667Z", - "iopub.status.busy": "2024-07-11T15:34:03.079431Z", - "iopub.status.idle": "2024-07-11T15:34:03.082510Z", - "shell.execute_reply": "2024-07-11T15:34:03.082064Z" - } - }, - "outputs": [], - "source": [ - "pfn_simulator = AgentTypeMonteCarloSimulator(\n", - " pfn.calibration,\n", - " pfn.block,\n", - " {\"c_nrm\": lambda m_nrm: PFexample.solution[0].cFunc(m_nrm)},\n", - " { # initial states\n", - " \"a_nrm\": Lognormal(-6, 0),\n", - " #'live' : 1,\n", - " \"p\": 1.0,\n", - " },\n", - " agent_count=3,\n", - " T_sim=120,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "36ba1dda", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:03.083966Z", - "iopub.status.busy": "2024-07-11T15:34:03.083724Z", - "iopub.status.idle": "2024-07-11T15:34:03.086235Z", - "shell.execute_reply": "2024-07-11T15:34:03.085768Z" - } - }, - "outputs": [], - "source": [ - "pfn_simulator.read_shocks = True\n", - "# pfn_simulator.shock_history['live'] = 1 - np.roll(PFexample.history[\"who_dies\"], -1)\n", - "\n", - "pfn_simulator.shock_history[\"live\"] = 1 - PFexample.history[\"who_dies\"]" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "bc84d3e5", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:03.087683Z", - "iopub.status.busy": "2024-07-11T15:34:03.087445Z", - "iopub.status.idle": "2024-07-11T15:34:03.089960Z", - "shell.execute_reply": "2024-07-11T15:34:03.089470Z" - } - }, - "outputs": [], - "source": [ - "pfn_simulator.newborn_init_history[\"a_nrm\"] = PFexample.newborn_init_history[\"aNrm\"]\n", - "pfn_simulator.newborn_init_history[\"p\"] = PFexample.newborn_init_history[\"pLvl\"]\n", - "# pfn_simulator.newborn_init_history['live'] = PFexample.newborn_init_history['pLvl']" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "65df3a7f", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:03.091464Z", - "iopub.status.busy": "2024-07-11T15:34:03.091231Z", - "iopub.status.idle": "2024-07-11T15:34:03.113213Z", - "shell.execute_reply": "2024-07-11T15:34:03.112766Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "{'live': array([[ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 0.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - 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[-42.55267428, -21.05056386, -7.20994102],\n", - " [-42.75418661, -21.79728952, -8.30761326],\n", - " [-42.95058933, -22.525081 , -9.37745262],\n", - " [-43.14201201, -23.2344184 , -10.42016485],\n", - " [-43.32858093, -23.92576966, -11.43643779],\n", - " [-43.51041916, -24.59959082, -12.42694183],\n", - " [ -1.27807355, -25.25632639, -13.39233038],\n", - " [ -2.52615583, -25.89640959, -14.33324028],\n", - " [ -3.74259139, -26.52026268, -15.25029222],\n", - " [ -4.92818269, -27.12829717, -16.14409113],\n", - " [ -6.08371181, -27.72091418, -17.01522664],\n", - " [ -1.27807355, -28.29850463, -17.8642734 ],\n", - " [ -2.52615583, -1.27807355, -18.69179151],\n", - " [ -3.74259139, -2.52615583, -19.49832683],\n", - " [ -4.92818269, -3.74259139, -20.28441144],\n", - " [ -6.08371181, -4.92818269, -21.05056386],\n", - " [ -7.20994102, -6.08371181, -21.79728952],\n", - " [ -8.30761326, -7.20994102, -22.525081 ],\n", - " [ -9.37745262, -8.30761326, -23.2344184 ],\n", - " [-10.42016485, -9.37745262, -23.92576966],\n", - " [-11.43643779, -10.42016485, -24.59959082],\n", - " [-12.42694183, -11.43643779, -25.25632639],\n", - " [-13.39233038, -12.42694183, -25.89640959],\n", - " [ -1.27807355, -13.39233038, -26.52026268],\n", - " [ -2.52615583, -14.33324028, -27.12829717],\n", - " [ -3.74259139, -15.25029222, -27.72091418],\n", - " [ -4.92818269, -16.14409113, -28.29850463],\n", - " [ -6.08371181, -17.01522664, -28.86144954],\n", - " [ -7.20994102, -17.8642734 , -29.41012026],\n", - " [ -8.30761326, -18.69179151, -29.94487875],\n", - " [ -9.37745262, -19.49832683, -30.46607775],\n", - " [-10.42016485, -20.28441144, -30.97406109],\n", - " [-11.43643779, -21.05056386, -31.46916387],\n", - " [-12.42694183, -21.79728952, -31.95171268],\n", - " [-13.39233038, -22.525081 , -32.42202586],\n", - " [-14.33324028, -23.2344184 , -32.88041365],\n", - " [-15.25029222, -23.92576966, -33.32717843],\n", - " [-16.14409113, -1.27807355, -33.76261493],\n", - " [-17.01522664, -2.52615583, -34.18701038],\n", - " [-17.8642734 , -3.74259139, -34.60064474],\n", - " [-18.69179151, -4.92818269, -35.00379088],\n", - " [-19.49832683, -6.08371181, -35.39671474],\n", - " [-20.28441144, -7.20994102, -35.77967551],\n", - " [-21.05056386, -8.30761326, -36.15292583],\n", - " [-21.79728952, -9.37745262, -36.51671191],\n", - " [-22.525081 , -10.42016485, -36.87127373],\n", - " [-23.2344184 , -11.43643779, -37.21684518],\n", - " [-23.92576966, -12.42694183, -1.27807355],\n", - " [-24.59959082, -13.39233038, -2.52615583]])}" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# pf_simulator.track_vars = [\"mNrm\"]\n", - "pfn_simulator.initialize_sim()\n", - "pfn_simulator.simulate(sim_periods=120)" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "9e2c7ad0", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:03.114760Z", - "iopub.status.busy": "2024-07-11T15:34:03.114523Z", - "iopub.status.idle": "2024-07-11T15:34:03.186167Z", - "shell.execute_reply": "2024-07-11T15:34:03.185672Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(np.mean(pfn_simulator.history[\"m_nrm\"], axis=1))\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Mean normalized market resources\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "2b471cf1", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:03.187901Z", - "iopub.status.busy": "2024-07-11T15:34:03.187619Z", - "iopub.status.idle": "2024-07-11T15:34:03.254681Z", - "shell.execute_reply": "2024-07-11T15:34:03.254185Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/tmp/ipykernel_177460/785913752.py:2: RuntimeWarning: divide by zero encountered in log\n", - " np.log(\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(\n", - " np.log(\n", - " np.mean(pfn_simulator.history[\"m_nrm\"], axis=1)\n", - " - np.min(np.mean(pfn_simulator.history[\"m_nrm\"], axis=1)),\n", - " ),\n", - ")\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Mean normalized market resources\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "464f19e7", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:03.256295Z", - "iopub.status.busy": "2024-07-11T15:34:03.256038Z", - "iopub.status.idle": "2024-07-11T15:34:03.332958Z", - "shell.execute_reply": "2024-07-11T15:34:03.332488Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(pfn_simulator.history[\"live\"].sum(axis=1))" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "1cc1dc83", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:03.334568Z", - "iopub.status.busy": "2024-07-11T15:34:03.334308Z", - "iopub.status.idle": "2024-07-11T15:34:03.414606Z", - "shell.execute_reply": "2024-07-11T15:34:03.414140Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(np.mean(pfn_simulator.history[\"a_nrm\"], axis=1), label=\"Generic monte carlo\")\n", - "plt.plot(\n", - " np.mean(PFexample.history[\"aNrm\"], axis=1),\n", - " label=\"HARK 0.13 PerfForesightConsumerType\",\n", - ")\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Mean normalized market resources\")\n", - "plt.legend()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "dcff94ad", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:03.416235Z", - "iopub.status.busy": "2024-07-11T15:34:03.415972Z", - "iopub.status.idle": "2024-07-11T15:34:03.420025Z", - "shell.execute_reply": "2024-07-11T15:34:03.419536Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", - " 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", - " 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", - 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] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "np.where(pfn_simulator.history[\"live\"] < 1)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "0e37528d", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:03.426279Z", - "iopub.status.busy": "2024-07-11T15:34:03.425901Z", - "iopub.status.idle": "2024-07-11T15:34:03.429353Z", - "shell.execute_reply": "2024-07-11T15:34:03.428881Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "(array([ 8, 50, 65, 76, 81, 82, 93, 107, 117]),\n", - " array([2, 1, 2, 0, 0, 1, 0, 1, 2]))" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "np.where(1 - PFexample.history[\"who_dies\"] < 1)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7e5cf6a1", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.9" - } - }, - "nbformat": 4, - "nbformat_minor": 5 + "nbformat": 4, + "nbformat_minor": 5 } From 5c81c7b5dadd1469c67f145e98397ab7631dfbe4 Mon Sep 17 00:00:00 2001 From: Alan Lujan Date: Thu, 7 Nov 2024 15:03:20 -0500 Subject: [PATCH 6/9] fix tests --- HARK/distributions/continuous.py | 3 ++- HARK/distributions/discrete.py | 4 +++- HARK/distributions/multivariate.py | 3 ++- HARK/distributions/utils.py | 4 ++-- 4 files changed, 9 insertions(+), 5 deletions(-) diff --git a/HARK/distributions/continuous.py b/HARK/distributions/continuous.py index e5db04547..1eb96524f 100644 --- a/HARK/distributions/continuous.py +++ b/HARK/distributions/continuous.py @@ -6,7 +6,8 @@ from scipy.stats import rv_continuous from scipy.stats._distn_infrastructure import rv_continuous_frozen -from HARK.distributions.base import DiscreteDistribution, Distribution +from HARK.distributions.base import Distribution +from HARK.distributions.discrete import DiscreteDistribution # CONTINUOUS DISTRIBUTIONS diff --git a/HARK/distributions/discrete.py b/HARK/distributions/discrete.py index f1335361f..79dfda2cc 100644 --- a/HARK/distributions/discrete.py +++ b/HARK/distributions/discrete.py @@ -1,6 +1,8 @@ -from typing import Any +from typing import Any, Callable, Dict, List, Optional, Union +from copy import deepcopy import numpy as np +import xarray as xr from scipy import stats from scipy.stats import rv_discrete from scipy.stats._distn_infrastructure import rv_discrete_frozen diff --git a/HARK/distributions/multivariate.py b/HARK/distributions/multivariate.py index b4cdd5091..e31377785 100644 --- a/HARK/distributions/multivariate.py +++ b/HARK/distributions/multivariate.py @@ -6,8 +6,9 @@ from scipy import special from scipy.stats._multivariate import multi_rv_frozen, multivariate_normal_frozen -from HARK.distributions.base import DiscreteDistribution, Distribution +from HARK.distributions.base import Distribution from HARK.distributions.continuous import Lognormal, Normal +from HARK.distributions.discrete import DiscreteDistribution # MULTIVARIATE DISTRIBUTIONS diff --git a/HARK/distributions/utils.py b/HARK/distributions/utils.py index 2d7186399..c522c7867 100644 --- a/HARK/distributions/utils.py +++ b/HARK/distributions/utils.py @@ -4,10 +4,10 @@ import numpy as np from scipy import stats -from HARK.distributions.base import ( +from HARK.distributions.base import TimeVaryingDiscreteDistribution +from HARK.distributions.discrete import ( DiscreteDistribution, DiscreteDistributionLabeled, - TimeVaryingDiscreteDistribution, ) from HARK.distributions.continuous import Normal From c0817b74abe18625c7701e1052c7f9f0097e9083 Mon Sep 17 00:00:00 2001 From: Alan Lujan Date: Thu, 7 Nov 2024 15:29:30 -0500 Subject: [PATCH 7/9] changelog --- Documentation/CHANGELOG.md | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/Documentation/CHANGELOG.md b/Documentation/CHANGELOG.md index f9d27bb03..8d9b53adb 100644 --- a/Documentation/CHANGELOG.md +++ b/Documentation/CHANGELOG.md @@ -14,11 +14,12 @@ Release Date: TBD ### Major Changes -- Adds a discretize method to DBlocks and RBlocks (#1460)[https://github.com/econ-ark/HARK/pull/1460] +- Adds a discretize method to DBlocks and RBlocks [#1460](https://github.com/econ-ark/HARK/pull/1460) - Allows structural equations in model files to be provided in string form [#1427](https://github.com/econ-ark/HARK/pull/1427) - Introduces `HARK.parser' module for parsing configuration files into models [#1427](https://github.com/econ-ark/HARK/pull/1427) - Allows construction of shocks with arguments based on mathematical expressions [#1464](https://github.com/econ-ark/HARK/pull/1464) - YAML configuration file for the normalized consumption and portolio choice [#1465](https://github.com/econ-ark/HARK/pull/1465) +- Reorganizes the `HARK.distribution` file into `HARK.distributions` submodule with various files for readability and extensibility [#1496](https://github.com/econ-ark/HARK/pull/1496) #### Minor Changes @@ -66,7 +67,6 @@ This release drops support for Python 3.8 and 3.9, consistent with SPEC 0, and a #### Minor Changes - - Add option to pass pre-built grid to `LinearFast`. [1388](https://github.com/econ-ark/HARK/pull/1388) - Moves calculation of stable points out of ConsIndShock solver, into method called by post_solve [#1349](https://github.com/econ-ark/HARK/pull/1349) - Adds cubic spline interpolation and value function construction to "warm glow bequest" models. @@ -79,7 +79,6 @@ This release drops support for Python 3.8 and 3.9, consistent with SPEC 0, and a - Default parameter dictionaries for AgentType subclasses have been "flattened": all parameters appear in one place for each model, rather than inheriting from parent models' dictionaries. The only exception is submodels *within* a file when only 1 or 2 parameters are added or changed. [#1425](https://github.com/econ-ark/HARK/pull/1425) - Fix minor bug in `HARK.distribution.Bernoulli` to allow conversion into `DiscreteDistributionLabeled`. [#1432](https://github.com/econ-ark/HARK/pull/1432) - ### 0.14.1 Release date: February 28, 2024 @@ -206,7 +205,7 @@ Release Date: March 4, 2021 - Converts non-mathematical code to PEP8 compliant form [#953](https://github.com/econ-ark/HARK/pull/953) - Adds a constructor for LogNormal distributions from mean and standard deviation [#891](https://github.com/econ-ark/HARK/pull/891/) - Uses new LogNormal constructor in ConsPortfolioModel [#891](https://github.com/econ-ark/HARK/pull/891/) -- calcExpectations method for taking the expectation of a distribution over a function [#884](https://github.com/econ-ark/HARK/pull/884/] (#897)[https://github.com/econ-ark/HARK/pull/897/) +- calcExpectations method for taking the expectation of a distribution over a function [#884](] (#897)[https://github.com/econ-ark/HARK/pull/897/) - Implements the multivariate normal as a supported distribution, with a discretization method. See [#948](https://github.com/econ-ark/HARK/pull/948). - Centralizes the definition of value, marginal value, and marginal marginal value functions that use inverse-space interpolation for problems with CRRA utility. See [#888](https://github.com/econ-ark/HARK/pull/888). From bc5b2f25b0c9ec42bedc772d9f867895310dc3a2 Mon Sep 17 00:00:00 2001 From: Alan Lujan Date: Mon, 18 Nov 2024 13:15:10 -0500 Subject: [PATCH 8/9] update import to fix check --- HARK/tests/test_core.py | 6 ------ 1 file changed, 6 deletions(-) diff --git a/HARK/tests/test_core.py b/HARK/tests/test_core.py index b6289506a..c0b55f978 100644 --- a/HARK/tests/test_core.py +++ b/HARK/tests/test_core.py @@ -182,12 +182,6 @@ def test_create_agents(self): self.assertEqual(len(self.agent_pop.agents), 12) -import pytest -import numpy as np -from HARK.distribution import Uniform -from HARK.core import Parameters - - @pytest.fixture def sample_params(): return Parameters(a=1, b=[2, 3, 4], c=5.0, d=[6.0, 7.0, 8.0], T_cycle=3) From 7d871524854632aff2bc7d26d93560040eac2097 Mon Sep 17 00:00:00 2001 From: Alan Lujan Date: Tue, 19 Nov 2024 09:05:24 -0500 Subject: [PATCH 9/9] fix check fails --- Documentation/CHANGELOG.md | 8 +- Documentation/overview/ARKitecture.md | 2 + HARK/core.py | 457 +- HARK/model.py | 8 +- HARK/tests/test_core.py | 6 + .../example_ConsAggShockModel.ipynb | 1318 +++--- .../example_ConsMarkovModel.ipynb | 1584 +++---- .../example_TractableBufferStockModel.ipynb | 826 ++-- .../DiscreteDistributionLabeled.ipynb | 1666 +++---- .../Distributions/EquiprobableLognormal.ipynb | 1392 +++--- examples/Distributions/ExpectedValue.ipynb | 1212 ++--- ...eneric Monte Carlo Perfect Foresight.ipynb | 4088 ++++++++--------- 12 files changed, 6380 insertions(+), 6187 deletions(-) diff --git a/Documentation/CHANGELOG.md b/Documentation/CHANGELOG.md index 8d9b53adb..bbc87c016 100644 --- a/Documentation/CHANGELOG.md +++ b/Documentation/CHANGELOG.md @@ -77,7 +77,7 @@ This release drops support for Python 3.8 and 3.9, consistent with SPEC 0, and a - Create functions for well-known and repeated calculations in single-function solvers. [1395](https://github.com/econ-ark/HARK/pull/1395) - Re-work WealthPortfolioSolver to use approximate EGM method [#1404](https://github.com/econ-ark/HARK/pull/1404) - Default parameter dictionaries for AgentType subclasses have been "flattened": all parameters appear in one place for each model, rather than inheriting from parent models' dictionaries. The only exception is submodels *within* a file when only 1 or 2 parameters are added or changed. [#1425](https://github.com/econ-ark/HARK/pull/1425) -- Fix minor bug in `HARK.distribution.Bernoulli` to allow conversion into `DiscreteDistributionLabeled`. [#1432](https://github.com/econ-ark/HARK/pull/1432) +- Fix minor bug in `HARK.distributions.Bernoulli` to allow conversion into `DiscreteDistributionLabeled`. [#1432](https://github.com/econ-ark/HARK/pull/1432) ### 0.14.1 @@ -123,7 +123,7 @@ Release Date: February 16, 2023 - Changes the `DiscreteDistribution` class to allow for arbitrary array-valued random variables. [#1146](https://github.com/econ-ark/HARK/pull/1146) - Adds `IndShockRiskyAssetConsumerType` as agent which can invest savings all in safe asset, all in risky asset, a fixed share in risky asset, or optimize its portfolio. [#1107](https://github.com/econ-ark/HARK/issues/1107) - Updates all HARK models to allow for age-varying interest rates. [#1150](https://github.com/econ-ark/HARK/pull/1150) -- Adds `DiscreteDistribution.expected` method which expects vectorized functions and is faster than `HARK.distribution.calc_expectation`. [#1156](https://github.com/econ-ark/HARK/pull/1156) +- Adds `DiscreteDistribution.expected` method which expects vectorized functions and is faster than `HARK.distributions.calc_expectation`. [#1156](https://github.com/econ-ark/HARK/pull/1156) - Adds `DiscreteDistributionXRA` class which extends `DiscreteDistribution` to allow for underlying data to be stored in a `xarray.DataArray` object. [#1156](https://github.com/econ-ark/HARK/pull/1156) - Adds keyword argument `labels` to `expected()` when using `DiscreteDistributionXRA` to allow for expressive functions that use labeled xarrays. [#1156](https://github.com/econ-ark/HARK/pull/1156) - Adds a wrapper for [`interpolation.py`](https://github.com/EconForge/interpolation.py) for fast multilinear interpolation. [#1151](https://github.com/econ-ark/HARK/pull/1151) @@ -136,7 +136,7 @@ Release Date: February 16, 2023 - Updates the `numpy` random generator from `RandomState` to `Generator`. [#1193](https://github.com/econ-ark/HARK/pull/1193) - Turns the income and income+return distributions into `DiscreteDistributionLabeled` objects. [#1189](https://github.com/econ-ark/HARK/pull/1189) - Creates `UtilityFuncCRRA` which is an object oriented utility function with a coefficient of constant relative risk aversion and includes derivatives and inverses. Also creates `UtilityFuncCobbDouglas`, `UtilityFuncCobbDouglasCRRA`, and `UtilityFuncConstElastSubs`. [#1168](https://github.com/econ-ark/HARK/pull/1168) -- Reorganizes `HARK.distribution`. All distributions now inherit all features from `scipy.stats`. New `ContinuousFrozenDistribution` and `DiscreteFrozenDistribution` to use `scipy.stats` distributions not yet implemented in HARK. New `Distribution.discretize(N, method = "***")` replaces `Distribution.approx(N)`. New `DiscreteDistribution.limit` attribute describes continuous origin and discretization method. [#1197](https://github.com/econ-ark/HARK/pull/1197). +- Reorganizes `HARK.distributions`. All distributions now inherit all features from `scipy.stats`. New `ContinuousFrozenDistribution` and `DiscreteFrozenDistribution` to use `scipy.stats` distributions not yet implemented in HARK. New `Distribution.discretize(N, method = "***")` replaces `Distribution.approx(N)`. New `DiscreteDistribution.limit` attribute describes continuous origin and discretization method. [#1197](https://github.com/econ-ark/HARK/pull/1197). - Creates new class of _labeled_ models under `ConsLabeledModel` that use xarray for more expressive modeling of underlying mathematical and economics variables. [#1177](https://github.com/econ-ark/HARK/pull/1177) #### Minor Changes @@ -147,7 +147,7 @@ Release Date: February 16, 2023 - Adds `benchmark` utility to profile the performance of `HARK` solvers. [#1131](https://github.com/econ-ark/HARK/pull/1131) - Fixes scaling bug in Normal equiprobable approximation method. [1139](https://github.com/econ-ark/HARK/pull/1139) - Removes the extra-dimension that was returned by `calc_expectations` in some instances. [#1149](https://github.com/econ-ark/HARK/pull/1149) -- Adds `HARK.distribution.expected` alias for `DiscreteDistribution.expected`. [#1156](https://github.com/econ-ark/HARK/pull/1156) +- Adds `HARK.distributions.expected` alias for `DiscreteDistribution.expected`. [#1156](https://github.com/econ-ark/HARK/pull/1156) - Renames attributes in `DiscreteDistribution`: `X` to `atoms` and `pmf` to `pmv`. [#1164](https://github.com/econ-ark/HARK/pull/1164), [#1051](https://github.com/econ-ark/HARK/pull/1151), [#1159](https://github.com/econ-ark/HARK/pull/1159). - Remove or replace automated tests that depend on brittle simulation results. [#1148](https://github.com/econ-ark/HARK/pull/1148) - Updates asset grid constructor from `ConsIndShockModel.py` to allow for linearly-spaced grids when `aXtraNestFac == -1`. [#1172](https://github.com/econ-ark/HARK/pull/1172) diff --git a/Documentation/overview/ARKitecture.md b/Documentation/overview/ARKitecture.md index 92cff8145..4401496cf 100644 --- a/Documentation/overview/ARKitecture.md +++ b/Documentation/overview/ARKitecture.md @@ -33,6 +33,7 @@ Python modules in HARK can generally be categorized into two types: tools and mo **Model modules** specify particular economic models, including classes to represent agents in the model (and the ''market structure'' in which they interact) and functions for solving the ''one period problem'' of those models. For example, **ConsIndShockModel.py** concerns consumption-saving models in which agents have CRRA utility over consumption and face idiosyncratic shocks to permanent and transitory income. The module includes classes for representing ''types'' of consumers, along with functions for solving (several flavors of) the one period consumption-saving problem. Model modules generally have **_Model_** in their name, and the classes for representing agents all have **_Type_** at the end of their name (as instances represent a collection of ex ante homogeneous agents who share common model and parameters-- a "type"). For example, **_HARK.ConsumptionSaving.ConsIndShockModel_** includes the class **_IndShockConsumerType_**. + ## HARK After you [installed](https://docs.econ-ark.org/Documentation/guides/installation.html) or [cloned the repository of](https://github.com/econ-ark/HARK) HARK, you can explore the content of it. In the subfolder HARK, you can find a range of [general purpose tools](#general-purpose-tools), as well as the next subfolder ConsumptionSaving which has [AgentType subclasses](#agenttype-class) and [Market subclasses](#market-class). @@ -106,6 +107,7 @@ A discrete time model in our framework is characterized by a sequence of ''perio An instance of **_AgentType_** also has the attributes named in **_time_vary_** and **_time_inv_**, and may have other attributes that are not included in either (e.g. values not used in the model solution, but instead to construct objects used in the solution). Note that **_time_vary_** may include attributes that are never used by a function in **_solveOnePeriod_**. Most saliently, the attribute **_solution_** is time-varying but is not used to solve individual periods. + #### A Universal Solver When an instance of **_AgentType_** invokes its **_solve_** method, the solution to the agent's problem is stored in the attribute **_solution_**. The solution is computed by recursively solving the sequence of periods defined by the variables listed in **_time_vary_** and **_time_inv_** using the functions in **_solve\_one_period_**. The time-varying inputs are updated each period, including the successive period's solution as **_solution_next_**; the same values of time invariant inputs in **_time_inv_** are passed to the solver in every period. The first call to **_solve\_one\_period_** uses **_solution_terminal_** as **_solution_next_**. In an infinite horizon problem (**_cycles_=0**), the sequence of periods is solved until the solutions of successive cycles have a ''distance'' of less than **_tolerance_**. Usually, the "sequence" of periods in such models is just *one* period long. diff --git a/HARK/core.py b/HARK/core.py index 2a98868b0..9e35a4ded 100644 --- a/HARK/core.py +++ b/HARK/core.py @@ -15,11 +15,13 @@ from copy import copy, deepcopy from dataclasses import dataclass, field from time import time -from typing import Any, Callable, Dict, List, Optional, Union +from typing import Any, Callable, Dict, Iterator, List, Optional, Set, Tuple, Union from warnings import warn import numpy as np import pandas as pd +from xarray import DataArray + from HARK.distributions import ( Distribution, IndexDistribution, @@ -28,7 +30,6 @@ ) from HARK.parallel import multi_thread_commands, multi_thread_commands_fake from HARK.utilities import NullFunc, get_arg_names -from xarray import DataArray logging.basicConfig(format="%(message)s") _log = logging.getLogger("HARK") @@ -61,205 +62,389 @@ def set_verbosity_level(level): class Parameters: """ - This class defines an object that stores all of the parameters for a model - as an internal dictionary. It is designed to also handle the age-varying - dynamics of parameters. + A smart container for model parameters that handles age-varying dynamics. + + This class stores parameters as an internal dictionary and manages their + age-varying properties, providing both attribute-style and dictionary-style + access. It is designed to handle the time-varying dynamics of parameters + in economic models. Attributes ---------- - _length : int The terminal age of the agents in the model. - _invariant_params : list - A list of the names of the parameters that are invariant over time. - _varying_params : list - A list of the names of the parameters that vary over time. + _invariant_params : Set[str] + A set of parameter names that are invariant over time. + _varying_params : Set[str] + A set of parameter names that vary over time. + _parameters : Dict[str, Any] + The internal dictionary storing all parameters. """ - def __init__(self, **parameters: Any): + __slots__ = ("_length", "_invariant_params", "_varying_params", "_parameters") + + def __init__(self, **parameters: Any) -> None: """ - Initializes a Parameters object and parses the age-varying - dynamics of the parameters. + Initialize a Parameters object and parse the age-varying dynamics of parameters. Parameters ---------- - - parameters : keyword arguments - Any number of keyword arguments of the form key=value. - To parse a dictionary of parameters, use the ** operator. + **parameters : Any + Any number of parameters in the form key=value. """ - params = parameters.copy() - self._length = params.pop("T_cycle", None) - self._invariant_params = set() - self._varying_params = set() - self._parameters: Dict[str, Union[int, float, np.ndarray, list, tuple]] = {} + self._length: int = parameters.pop("T_cycle", 1) + self._invariant_params: Set[str] = set() + self._varying_params: Set[str] = set() + self._parameters: Dict[str, Any] = {"T_cycle": self._length} - for key, value in params.items(): - self._parameters[key] = self.__infer_dims__(key, value) + for key, value in parameters.items(): + self[key] = value - def __infer_dims__( - self, key: str, value: Union[int, float, np.ndarray, list, tuple, None] - ) -> Union[int, float, np.ndarray, list, tuple]: + def __getitem__(self, item_or_key: Union[int, str]) -> Union["Parameters", Any]: """ - Infers the age-varying dimensions of a parameter. + Access parameters by age index or parameter name. - If the parameter is a scalar, numpy array, boolean, distribution, callable or None, - it is assumed to be invariant over time. If the parameter is a list or - tuple, it is assumed to be varying over time. If the parameter is a list - or tuple of length greater than 1, the length of the list or tuple must match - the `_term_age` attribute of the Parameters object. + If item_or_key is an integer, returns a Parameters object with the parameters + that apply to that age. This includes all invariant parameters and the + `item_or_key`th element of all age-varying parameters. If item_or_key is a + string, it returns the value of the parameter with that name. Parameters ---------- - key : str - name of parameter - value : Any - value of parameter - - """ - if isinstance( - value, (int, float, np.ndarray, type(None), Distribution, bool, Callable) - ): - self.__add_to_invariant__(key) - return value - if isinstance(value, (list, tuple)): - if len(value) == 1: - self.__add_to_invariant__(key) - return value[0] - if self._length is None or self._length == 1: - self._length = len(value) - if len(value) == self._length: - self.__add_to_varying__(key) - return value - raise ValueError( - f"Parameter {key} must be of length 1 or {self._length}, not {len(value)}" - ) - raise ValueError(f"Parameter {key} has unsupported type {type(value)}") - - def __add_to_invariant__(self, key: str): - """ - Adds parameter name to invariant set and removes from varying set. - """ - self._varying_params.discard(key) - self._invariant_params.add(key) - - def __add_to_varying__(self, key: str): - """ - Adds parameter name to varying set and removes from invariant set. - """ - self._invariant_params.discard(key) - self._varying_params.add(key) + item_or_key : Union[int, str] + Age index or parameter name. - def __getitem__(self, item_or_key: Union[int, str]): - """ - If item_or_key is an integer, returns a Parameters object with the parameters - that apply to that age. This includes all invariant parameters and the - `item_or_key`th element of all age-varying parameters. If item_or_key is a string, - it returns the value of the parameter with that name. + Returns + ------- + Union[Parameters, Any] + A new Parameters object for the specified age, or the value of the + specified parameter. + + Raises + ------ + ValueError: + If the age index is out of bounds. + KeyError: + If the parameter name is not found. + TypeError: + If the key is neither an integer nor a string. """ if isinstance(item_or_key, int): if item_or_key >= self._length: raise ValueError( - f"Age {item_or_key} is greater than or equal to terminal age {self._length}." + f"Age {item_or_key} is out of bounds (max: {self._length - 1})." ) params = {key: self._parameters[key] for key in self._invariant_params} params.update( { - key: self._parameters[key][item_or_key] + key: ( + self._parameters[key][item_or_key] + if isinstance(self._parameters[key], (list, tuple, np.ndarray)) + else self._parameters[key] + ) for key in self._varying_params } ) return Parameters(**params) elif isinstance(item_or_key, str): return self._parameters[item_or_key] + else: + raise TypeError("Key must be an integer (age) or string (parameter name).") - def __setitem__(self, key: str, value: Any): + def __setitem__(self, key: str, value: Any) -> None: """ - Sets the value of a parameter. + Set parameter values, automatically inferring time variance. + + If the parameter is a scalar, numpy array, boolean, distribution, callable + or None, it is assumed to be invariant over time. If the parameter is a + list or tuple, it is assumed to be varying over time. If the parameter + is a list or tuple of length greater than 1, the length of the list or + tuple must match the `_length` attribute of the Parameters object. Parameters ---------- key : str - name of parameter + Name of the parameter. value : Any - value of parameter + Value of the parameter. + Raises + ------ + ValueError: + If the parameter name is not a string or if the value type is unsupported. + If the parameter value is inconsistent with the current model length. """ if not isinstance(key, str): - raise ValueError("Parameters must be set with a string key") - self._parameters[key] = self.__infer_dims__(key, value) + raise ValueError(f"Parameter name must be a string, got {type(key)}") - def keys(self): + if isinstance( + value, (int, float, np.ndarray, type(None), Distribution, bool, Callable) + ): + self._invariant_params.add(key) + self._varying_params.discard(key) + elif isinstance(value, (list, tuple)): + if len(value) == 1: + value = value[0] + self._invariant_params.add(key) + self._varying_params.discard(key) + elif self._length is None or self._length == 1: + self._length = len(value) + self._varying_params.add(key) + self._invariant_params.discard(key) + elif len(value) == self._length: + self._varying_params.add(key) + self._invariant_params.discard(key) + else: + raise ValueError( + f"Parameter {key} must have length 1 or {self._length}, not {len(value)}" + ) + else: + raise ValueError(f"Unsupported type for parameter {key}: {type(value)}") + + self._parameters[key] = value + + def __iter__(self) -> Iterator[str]: + """Allow iteration over parameter names.""" + return iter(self._parameters) + + def __len__(self) -> int: + """Return the number of parameters.""" + return len(self._parameters) + + def keys(self) -> Iterator[str]: + """Return a view of parameter names.""" + return self._parameters.keys() + + def values(self) -> Iterator[Any]: + """Return a view of parameter values.""" + return self._parameters.values() + + def items(self) -> Iterator[Tuple[str, Any]]: + """Return a view of parameter (name, value) pairs.""" + return self._parameters.items() + + def to_dict(self) -> Dict[str, Any]: """ - Returns a list of the names of the parameters. + Convert parameters to a plain dictionary. + + Returns + ------- + Dict[str, Any] + A dictionary containing all parameters. """ - return self._invariant_params | self._varying_params + return dict(self._parameters) - def values(self): + def to_namedtuple(self) -> namedtuple: """ - Returns a list of the values of the parameters. + Convert parameters to a namedtuple. + + Returns + ------- + namedtuple + A namedtuple containing all parameters. """ - return list(self._parameters.values()) + return namedtuple("Parameters", self.keys())(**self.to_dict()) - def items(self): + def update(self, other: Union["Parameters", Dict[str, Any]]) -> None: """ - Returns a list of tuples of the form (name, value) for each parameter. + Update parameters from another Parameters object or dictionary. + + Parameters + ---------- + other : Union[Parameters, Dict[str, Any]] + The source of parameters to update from. + + Raises + ------ + TypeError + If the input is neither a Parameters object nor a dictionary. + """ + if isinstance(other, Parameters): + for key, value in other._parameters.items(): + self[key] = value + elif isinstance(other, dict): + for key, value in other.items(): + self[key] = value + else: + raise TypeError( + "Update source must be a Parameters object or a dictionary." + ) + + def __repr__(self) -> str: + """Return a detailed string representation of the Parameters object.""" + return ( + f"Parameters(_length={self._length}, " + f"_invariant_params={self._invariant_params}, " + f"_varying_params={self._varying_params}, " + f"_parameters={self._parameters})" + ) + + def __str__(self) -> str: + """Return a simple string representation of the Parameters object.""" + return f"Parameters({str(self._parameters)})" + + def __getattr__(self, name: str) -> Any: """ - return list(self._parameters.items()) + Allow attribute-style access to parameters. - def __iter__(self): + Parameters + ---------- + name : str + Name of the parameter to access. + + Returns + ------- + Any + The value of the specified parameter. + + Raises + ------ + AttributeError: + If the parameter name is not found. """ - Allows for iterating over the parameter names. + if name.startswith("_"): + return super().__getattribute__(name) + try: + return self._parameters[name] + except KeyError: + raise AttributeError(f"'Parameters' object has no attribute '{name}'") + + def __setattr__(self, name: str, value: Any) -> None: """ - return iter(self.keys()) + Allow attribute-style setting of parameters. - def __deepcopy__(self, memo): + Parameters + ---------- + name : str + Name of the parameter to set. + value : Any + Value to set for the parameter. + """ + if name.startswith("_"): + super().__setattr__(name, value) + else: + self[name] = value + + def __contains__(self, item: str) -> bool: + """Check if a parameter exists in the Parameters object.""" + return item in self._parameters + + def copy(self) -> "Parameters": """ - Returns a deep copy of the Parameters object. + Create a deep copy of the Parameters object. + + Returns + ------- + Parameters + A new Parameters object with the same contents. """ - return Parameters(**deepcopy(self.to_dict(), memo)) + return deepcopy(self) - def to_dict(self): + def add_to_time_vary(self, *params: str) -> None: """ - Returns a dictionary of the parameters. + Adds any number of parameters to the time-varying set. + + Parameters + ---------- + *params : str + Any number of strings naming parameters to be added to time_vary. """ - return {key: self._parameters[key] for key in self.keys()} + for param in params: + if param in self._parameters: + self._varying_params.add(param) + self._invariant_params.discard(param) + else: + warn( + f"Parameter '{param}' does not exist and cannot be added to time_vary." + ) - def to_namedtuple(self): + def add_to_time_inv(self, *params: str) -> None: """ - Returns a namedtuple of the parameters. + Adds any number of parameters to the time-invariant set. + + Parameters + ---------- + *params : str + Any number of strings naming parameters to be added to time_inv. """ - return namedtuple("Parameters", self.keys())(**self.to_dict()) + for param in params: + if param in self._parameters: + self._invariant_params.add(param) + self._varying_params.discard(param) + else: + warn( + f"Parameter '{param}' does not exist and cannot be added to time_inv." + ) - def update(self, other_params): + def del_from_time_vary(self, *params: str) -> None: """ - Updates the parameters with the values from another - Parameters object or a dictionary. + Removes any number of parameters from the time-varying set. Parameters ---------- - other_params : Parameters or dict - Parameters object or dictionary of parameters to update with. + *params : str + Any number of strings naming parameters to be removed from time_vary. """ - if isinstance(other_params, Parameters): - self._parameters.update(other_params.to_dict()) - elif isinstance(other_params, dict): - self._parameters.update(other_params) - else: - raise ValueError("Parameters must be a dict or a Parameters object") + for param in params: + self._varying_params.discard(param) - def __str__(self): + def del_from_time_inv(self, *params: str) -> None: + """ + Removes any number of parameters from the time-invariant set. + + Parameters + ---------- + *params : str + Any number of strings naming parameters to be removed from time_inv. + """ + for param in params: + self._invariant_params.discard(param) + + def get(self, key: str, default: Any = None) -> Any: + """ + Get a parameter value, returning a default if not found. + + Parameters + ---------- + key : str + The parameter name. + default : Any, optional + The default value to return if the key is not found. + + Returns + ------- + Any + The parameter value or the default. """ - Returns a simple string representation of the Parameters object. + return self._parameters.get(key, default) + + def set_many(self, **kwargs: Any) -> None: """ - return f"Parameters({str(self.to_dict())})" + Set multiple parameters at once. - def __repr__(self): + Parameters + ---------- + **kwargs : Keyword arguments representing parameter names and values. """ - Returns a detailed string representation of the Parameters object. + for key, value in kwargs.items(): + self[key] = value + + def is_time_varying(self, key: str) -> bool: """ - return f"Parameters( _age_inv = {self._invariant_params}, _age_var = {self._varying_params}, | {self.to_dict()})" + Check if a parameter is time-varying. + + Parameters + ---------- + key : str + The parameter name. + + Returns + ------- + bool + True if the parameter is time-varying, False otherwise. + """ + return key in self._varying_params class Model: @@ -280,12 +465,12 @@ def assign_parameters(self, **kwds): Parameters ---------- **kwds : keyword arguments - Any number of keyword arguments of the form key=value. Each value - will be assigned to the attribute named in self. + Any number of keyword arguments of the form key=value. + Each value will be assigned to the attribute named in self. Returns ------- - none + None """ self.parameters.update(kwds) for key in kwds: @@ -297,13 +482,12 @@ def get_parameter(self, name): Parameters ---------- - name : string + name : str The name of the parameter to get Returns ------- - value : - The value of the parameter + value : The value of the parameter """ return self.parameters[name] @@ -343,7 +527,7 @@ def del_param(self, param_name): Returns ------- - None. + None """ if param_name in self.parameters: del self.parameters[param_name] @@ -366,8 +550,8 @@ def construct(self, *args, force=False): Parameters ---------- *args : str, optional - Keys of self.constructors that are requested to be constructed. If - no arguments are passed, *all* elements of the dictionary are implied. + Keys of self.constructors that are requested to be constructed. + If no arguments are passed, *all* elements of the dictionary are implied. force : bool, optional When True, the method will force its way past any errors, including missing constructors, missing arguments for constructors, and errors @@ -492,13 +676,13 @@ def describe_constructors(self, *args): Parameters ---------- - *args : str + *args : str, optional Optional list of strings naming constructed inputs to be described. If none are passed, all constructors are described. Returns ------- - None. + None """ if len(args) > 0: keys = args @@ -701,8 +885,7 @@ def unpack(self, parameter): """ Unpacks a parameter from a solution object for easier access. After the model has been solved, the parameters (like consumption function) - reside in the attributes of each element of `ConsumerType.solution` - (e.g. `cFunc`). This method creates a (time varying) attribute of the given + reside in the attributes of each element of `ConsumerType.solution` (e.g. `cFunc`). This method creates a (time varying) attribute of the given parameter name that contains a list of functions accessible by `ConsumerType.parameter`. Parameters @@ -1576,7 +1759,7 @@ class Market(Model): A list of all the AgentTypes in this market. sow_vars : [string] Names of variables generated by the "aggregate market process" that should - be "sown" to the agents in the market. Aggregate state, etc. + "sown" to the agents in the market. Aggregate state, etc. reap_vars : [string] Names of variables to be collected ("reaped") from agents in the market to be used in the "aggregate market process". diff --git a/HARK/model.py b/HARK/model.py index 368ef783e..9a199dfe0 100644 --- a/HARK/model.py +++ b/HARK/model.py @@ -169,9 +169,11 @@ def simulate_dynamics( ## This is quite slow. for i in range(dr[varn].size): vals_i = { - var: vals[var][i] - if isinstance(vals[var], np.ndarray) - else vals[var] + var: ( + vals[var][i] + if isinstance(vals[var], np.ndarray) + else vals[var] + ) for var in vals } vals[varn][i] = dr[varn][i]( diff --git a/HARK/tests/test_core.py b/HARK/tests/test_core.py index c0b55f978..5cb5ef5d1 100644 --- a/HARK/tests/test_core.py +++ b/HARK/tests/test_core.py @@ -182,6 +182,12 @@ def test_create_agents(self): self.assertEqual(len(self.agent_pop.agents), 12) +import pytest +import numpy as np +from HARK.distributions import Uniform +from HARK.core import Parameters + + @pytest.fixture def sample_params(): return Parameters(a=1, b=[2, 3, 4], c=5.0, d=[6.0, 7.0, 8.0], T_cycle=3) diff --git a/examples/ConsumptionSaving/example_ConsAggShockModel.ipynb b/examples/ConsumptionSaving/example_ConsAggShockModel.ipynb index f7ac6923d..cf318b973 100644 --- a/examples/ConsumptionSaving/example_ConsAggShockModel.ipynb +++ b/examples/ConsumptionSaving/example_ConsAggShockModel.ipynb @@ -1,662 +1,662 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "tags": [] - }, - "source": [ - "# Example ConsAggShockModel" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:23:22.349452Z", - "iopub.status.busy": "2024-07-11T15:23:22.349156Z", - "iopub.status.idle": "2024-07-11T15:23:23.282879Z", - "shell.execute_reply": "2024-07-11T15:23:23.282351Z" - } - }, - "outputs": [], - "source": [ - "from copy import deepcopy\n", - "from time import process_time\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "from HARK.ConsumptionSaving.ConsAggShockModel import (\n", - " AggShockConsumerType,\n", - " AggShockMarkovConsumerType,\n", - " CobbDouglasEconomy,\n", - " CobbDouglasMarkovEconomy,\n", - ")\n", - "from HARK.distributions import DiscreteDistribution\n", - "from HARK.utilities import plot_funcs\n", - "\n", - "\n", - "def mystr(number):\n", - " return f\"{number:.4f}\"" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:23:23.284817Z", - "iopub.status.busy": "2024-07-11T15:23:23.284556Z", - "iopub.status.idle": "2024-07-11T15:23:23.287378Z", - "shell.execute_reply": "2024-07-11T15:23:23.286915Z" - } - }, - "outputs": [], - "source": [ - "# Solve an AggShockConsumerType's microeconomic problem\n", - "solve_agg_shocks_micro = False\n", - "# Solve for the equilibrium aggregate saving rule in a CobbDouglasEconomy\n", - "solve_agg_shocks_market = True\n", - "# Solve an AggShockMarkovConsumerType's microeconomic problem\n", - "solve_markov_micro = False\n", - "# Solve for the equilibrium aggregate saving rule in a CobbDouglasMarkovEconomy\n", - "solve_markov_market = False\n", - "# Solve a simple Krusell-Smith-style two state, two shock model\n", - "solve_krusell_smith = True\n", - "# Solve a CobbDouglasEconomy with many states, potentially utilizing the \"state jumper\"\n", - "solve_poly_state = False" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Example implementation of AggShockConsumerType" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:23:23.288851Z", - "iopub.status.busy": "2024-07-11T15:23:23.288677Z", - "iopub.status.idle": "2024-07-11T15:23:23.297131Z", - "shell.execute_reply": "2024-07-11T15:23:23.296662Z" - } - }, - "outputs": [], - "source": [ - "if solve_agg_shocks_micro or solve_agg_shocks_market:\n", - " # Make an aggregate shocks consumer type\n", - " AggShockExample = AggShockConsumerType()\n", - " AggShockExample.cycles = 0\n", - "\n", - " # Make a Cobb-Douglas economy for the agents\n", - " EconomyExample = CobbDouglasEconomy(agents=[AggShockExample])\n", - " EconomyExample.make_AggShkHist() # Simulate a history of aggregate shocks\n", - "\n", - " # Have the consumers inherit relevant objects from the economy\n", - " AggShockExample.get_economy_data(EconomyExample)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:23:23.298622Z", - "iopub.status.busy": "2024-07-11T15:23:23.298385Z", - "iopub.status.idle": "2024-07-11T15:23:23.301612Z", - "shell.execute_reply": "2024-07-11T15:23:23.301166Z" - } - }, - "outputs": [], - "source": [ - "if solve_agg_shocks_micro:\n", - " # Solve the microeconomic model for the aggregate shocks example type (and display results)\n", - " t_start = process_time()\n", - " AggShockExample.solve()\n", - " t_end = process_time()\n", - " print(\n", - " \"Solving an aggregate shocks consumer took \"\n", - " + mystr(t_end - t_start)\n", - " + \" seconds.\",\n", - " )\n", - " print(\n", - " \"Consumption function at each aggregate market resources-to-labor ratio gridpoint:\",\n", - " )\n", - " m_grid = np.linspace(0, 10, 200)\n", - " AggShockExample.unpack(\"cFunc\")\n", - " for M in AggShockExample.Mgrid.tolist():\n", - " mMin = AggShockExample.solution[0].mNrmMin(M)\n", - " c_at_this_M = AggShockExample.cFunc[0](m_grid + mMin, M * np.ones_like(m_grid))\n", - " plt.plot(m_grid + mMin, c_at_this_M)\n", - " plt.ylim(0.0, None)\n", - " plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:23:23.302965Z", - "iopub.status.busy": "2024-07-11T15:23:23.302762Z", - "iopub.status.idle": "2024-07-11T15:25:57.519420Z", - "shell.execute_reply": "2024-07-11T15:25:57.518916Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Now solving for the equilibrium of a Cobb-Douglas economy. This might take a few minutes...\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=-0.33966384051602827, slope=1.102624348735711, r-sq=0.9966224603747361\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=-0.4959923714165125, slope=1.1479009506512385, r-sq=0.99473669162057\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=-0.45166864478060786, slope=1.1124057973784134, r-sq=0.9821113562470477\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=-0.3840154156210827, slope=1.0841395602960584, r-sq=0.9875705261040257\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=-0.36198128155029563, slope=1.0753681485578617, r-sq=0.9905843996750162\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=-0.3523090029998188, slope=1.0715656485158445, r-sq=0.9908961093312041\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=-0.34805666066738283, slope=1.0699082913395124, r-sq=0.9910154806768872\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=-0.3461952993752169, slope=1.0691876132809157, r-sq=0.991065010874361\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=-0.3453850118498396, slope=1.0688755589956198, r-sq=0.9910860802385022\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=-0.3450341442894489, slope=1.068741033425316, r-sq=0.9910951040899086\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=-0.3448829558954367, slope=1.0686832829276534, r-sq=0.9910989700363684\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=-0.3448180900636173, slope=1.0686585844571508, r-sq=0.991100623001836\n", - "Solving the \"macroeconomic\" aggregate shocks model took 154.01046979999998 seconds.\n", - "Aggregate savings as a function of aggregate market resources:\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/mnt/c/Users/alujan/GitHub/alanlujan91/HARK/HARK/ConsumptionSaving/ConsAggShockModel.py:3207: RuntimeWarning: divide by zero encountered in log\n", - " Aagg = np.exp(self.intercept + self.slope * np.log(Mnow))\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Consumption function at each aggregate market resources gridpoint (in general equilibrium):\n" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "if solve_agg_shocks_market:\n", - " # Solve the \"macroeconomic\" model by searching for a \"fixed point dynamic rule\"\n", - " t_start = process_time()\n", - " print(\n", - " \"Now solving for the equilibrium of a Cobb-Douglas economy. This might take a few minutes...\",\n", - " )\n", - " EconomyExample.solve()\n", - " t_end = process_time()\n", - " print(\n", - " 'Solving the \"macroeconomic\" aggregate shocks model took '\n", - " + str(t_end - t_start)\n", - " + \" seconds.\",\n", - " )\n", - "\n", - " print(\"Aggregate savings as a function of aggregate market resources:\")\n", - " plot_funcs(EconomyExample.AFunc, 0, 2 * EconomyExample.kSS)\n", - " print(\n", - " \"Consumption function at each aggregate market resources gridpoint (in general equilibrium):\",\n", - " )\n", - " AggShockExample.unpack(\"cFunc\")\n", - " m_grid = np.linspace(0, 10, 200)\n", - " AggShockExample.unpack(\"cFunc\")\n", - " for M in AggShockExample.Mgrid.tolist():\n", - " mMin = AggShockExample.solution[0].mNrmMin(M)\n", - " c_at_this_M = AggShockExample.cFunc[0](m_grid + mMin, M * np.ones_like(m_grid))\n", - " plt.plot(m_grid + mMin, c_at_this_M)\n", - " plt.ylim(0.0, None)\n", - " plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Example Implementations of AggShockMarkovConsumerType" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:25:57.521152Z", - "iopub.status.busy": "2024-07-11T15:25:57.520884Z", - "iopub.status.idle": "2024-07-11T15:25:57.550165Z", - "shell.execute_reply": "2024-07-11T15:25:57.549432Z" - } - }, - "outputs": [], - "source": [ - "if solve_markov_micro or solve_markov_market or solve_krusell_smith:\n", - " # Make a Markov aggregate shocks consumer type\n", - " AggShockMrkvExample = AggShockMarkovConsumerType()\n", - " AggShockMrkvExample.IncShkDstn = [2 * [AggShockMrkvExample.IncShkDstn[0]]]\n", - " AggShockMrkvExample.cycles = 0\n", - "\n", - " # Make a Cobb-Douglas economy for the agents\n", - " MrkvEconomyExample = CobbDouglasMarkovEconomy(agents=[AggShockMrkvExample])\n", - " MrkvEconomyExample.DampingFac = 0.2 # Turn down damping\n", - " MrkvEconomyExample.make_AggShkHist() # Simulate a history of aggregate shocks\n", - " AggShockMrkvExample.get_economy_data(\n", - " MrkvEconomyExample,\n", - " ) # Have the consumers inherit relevant objects from the economy" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:25:57.552124Z", - "iopub.status.busy": "2024-07-11T15:25:57.551838Z", - "iopub.status.idle": "2024-07-11T15:25:57.556201Z", - "shell.execute_reply": "2024-07-11T15:25:57.555663Z" - } - }, - "outputs": [], - "source": [ - "if solve_markov_micro:\n", - " # Solve the microeconomic model for the Markov aggregate shocks example type (and display results)\n", - " t_start = process_time()\n", - " AggShockMrkvExample.solve()\n", - " t_end = process_time()\n", - " print(\n", - " \"Solving an aggregate shocks Markov consumer took \"\n", - " + mystr(t_end - t_start)\n", - " + \" seconds.\",\n", - " )\n", - "\n", - " print(\n", - " \"Consumption function at each aggregate market \\\n", - " resources-to-labor ratio gridpoint (for each macro state):\",\n", - " )\n", - " m_grid = np.linspace(0, 10, 200)\n", - " AggShockMrkvExample.unpack(\"cFunc\")\n", - " for i in range(2):\n", - " for M in AggShockMrkvExample.Mgrid.tolist():\n", - " mMin = AggShockMrkvExample.solution[0].mNrmMin[i](M)\n", - " c_at_this_M = AggShockMrkvExample.cFunc[0][i](\n", - " m_grid + mMin,\n", - " M * np.ones_like(m_grid),\n", - " )\n", - " plt.plot(m_grid + mMin, c_at_this_M)\n", - " plt.ylim(0.0, None)\n", - " plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:25:57.557710Z", - "iopub.status.busy": "2024-07-11T15:25:57.557447Z", - "iopub.status.idle": "2024-07-11T15:25:57.561222Z", - "shell.execute_reply": "2024-07-11T15:25:57.560704Z" - } - }, - "outputs": [], - "source": [ - "if solve_markov_market:\n", - " # Solve the \"macroeconomic\" model by searching for a \"fixed point dynamic rule\"\n", - " t_start = process_time()\n", - " print(\"Now solving a two-state Markov economy. This should take a few minutes...\")\n", - " MrkvEconomyExample.solve()\n", - " t_end = process_time()\n", - " print(\n", - " 'Solving the \"macroeconomic\" aggregate shocks model took '\n", - " + str(t_end - t_start)\n", - " + \" seconds.\",\n", - " )\n", - "\n", - " print(\n", - " \"Consumption function at each aggregate market \\\n", - " resources-to-labor ratio gridpoint (for each macro state):\",\n", - " )\n", - " m_grid = np.linspace(0, 10, 200)\n", - " AggShockMrkvExample.unpack(\"cFunc\")\n", - " for i in range(2):\n", - " for M in AggShockMrkvExample.Mgrid.tolist():\n", - " mMin = AggShockMrkvExample.solution[0].mNrmMin[i](M)\n", - " c_at_this_M = AggShockMrkvExample.cFunc[0][i](\n", - " m_grid + mMin,\n", - " M * np.ones_like(m_grid),\n", - " )\n", - " plt.plot(m_grid + mMin, c_at_this_M)\n", - " plt.ylim(0.0, None)\n", - " plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:25:57.562719Z", - "iopub.status.busy": "2024-07-11T15:25:57.562451Z", - "iopub.status.idle": "2024-07-11T15:26:38.867366Z", - "shell.execute_reply": "2024-07-11T15:26:38.866872Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Now solving a Krusell-Smith-style economy. This should take about a minute...\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=[-0.5817183825422839, -0.5703319414353534], slope=[1.180307914835392, 1.182408206717251], r-sq=[0.9975542198241366, 0.9980320884475001]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=[-0.4180260563496857, -0.41316539564814475], slope=[1.08342735891103, 1.0852799171504508], r-sq=[0.99973377603989, 0.9993225507148125]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=[-0.3600899736514895, -0.35512016452337497], slope=[1.0714753213364976, 1.0712256905434414], r-sq=[0.9999986714166439, 0.9999961301697309]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=[-0.3788395320005977, -0.3715109817321105], slope=[1.0786573434429672, 1.0774887741894947], r-sq=[0.9999982037028008, 0.9999942754223826]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=[-0.37896012954317376, -0.37156486819095047], slope=[1.0787111353569707, 1.0775241504232804], r-sq=[0.9999982049718272, 0.9999940788572959]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "intercept=[-0.37899550407019866, -0.3715956660284524], slope=[1.0787232463104646, 1.0775357473879463], r-sq=[0.9999982037318698, 0.9999940713848707]\n", - "Solving the Krusell-Smith model took 41.253191999999984 seconds.\n" - ] - } - ], - "source": [ - "if solve_krusell_smith:\n", - " # Make a Krusell-Smith agent type\n", - " # NOTE: These agents aren't exactly like KS, as they don't have serially correlated unemployment\n", - " KSexampleType = deepcopy(AggShockMrkvExample)\n", - " KSexampleType.IncShkDstn[0] = [\n", - " DiscreteDistribution(\n", - " np.array([0.96, 0.04]),\n", - " np.array([[1.0, 1.0], [1.0 / 0.96, 0.0]]),\n", - " ),\n", - " DiscreteDistribution(\n", - " np.array([0.90, 0.10]),\n", - " np.array([[1.0, 1.0], [1.0 / 0.90, 0.0]]),\n", - " ),\n", - " ]\n", - "\n", - " # Make a KS economy\n", - " KSeconomy = deepcopy(MrkvEconomyExample)\n", - " KSeconomy.agents = [KSexampleType]\n", - " KSeconomy.AggShkDstn = [\n", - " DiscreteDistribution(\n", - " np.array([1.0]),\n", - " np.array([[1.0], [1.05]]),\n", - " ),\n", - " DiscreteDistribution(\n", - " np.array([1.0]),\n", - " np.array([[1.0], [0.95]]),\n", - " ),\n", - " ]\n", - " KSeconomy.PermGroFacAgg = [1.0, 1.0]\n", - " KSexampleType.get_economy_data(KSeconomy)\n", - " KSeconomy.make_AggShkHist()\n", - "\n", - " # Solve the K-S model\n", - " t_start = process_time()\n", - " print(\n", - " \"Now solving a Krusell-Smith-style economy. This should take about a minute...\",\n", - " )\n", - " KSeconomy.solve()\n", - " t_end = process_time()\n", - " print(\"Solving the Krusell-Smith model took \" + str(t_end - t_start) + \" seconds.\")" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:26:38.869121Z", - "iopub.status.busy": "2024-07-11T15:26:38.868870Z", - "iopub.status.idle": "2024-07-11T15:26:38.873890Z", - "shell.execute_reply": "2024-07-11T15:26:38.873386Z" - } - }, - "outputs": [], - "source": [ - "if solve_poly_state:\n", - " StateCount = 15 # Number of Markov states\n", - " GrowthAvg = 1.01 # Average permanent income growth factor\n", - " GrowthWidth = 0.02 # PermGroFacAgg deviates from PermGroFacAgg in this range\n", - " Persistence = 0.90 # Probability of staying in the same Markov state\n", - " PermGroFacAgg = np.linspace(\n", - " GrowthAvg - GrowthWidth,\n", - " GrowthAvg + GrowthWidth,\n", - " num=StateCount,\n", - " )\n", - "\n", - " # Make the Markov array with chosen states and persistence\n", - " PolyMrkvArray = np.zeros((StateCount, StateCount))\n", - " for i in range(StateCount):\n", - " for j in range(StateCount):\n", - " if i == j:\n", - " PolyMrkvArray[i, j] = Persistence\n", - " elif (i == (j - 1)) or (i == (j + 1)):\n", - " PolyMrkvArray[i, j] = 0.5 * (1.0 - Persistence)\n", - " PolyMrkvArray[0, 0] += 0.5 * (1.0 - Persistence)\n", - " PolyMrkvArray[StateCount - 1, StateCount - 1] += 0.5 * (1.0 - Persistence)\n", - "\n", - " # Make a consumer type to inhabit the economy\n", - " PolyStateExample = AggShockMarkovConsumerType()\n", - " PolyStateExample.MrkvArray = PolyMrkvArray\n", - " PolyStateExample.PermGroFacAgg = PermGroFacAgg\n", - " PolyStateExample.IncShkDstn[0] = StateCount * [PolyStateExample.IncShkDstn[0]]\n", - " PolyStateExample.cycles = 0\n", - "\n", - " # Make a Cobb-Douglas economy for the agents\n", - " # Use verbose=False to remove printing of intercept\n", - " PolyStateEconomy = CobbDouglasMarkovEconomy(\n", - " agents=[PolyStateExample],\n", - " verbose=False,\n", - " )\n", - " PolyStateEconomy.MrkvArray = PolyMrkvArray\n", - " PolyStateEconomy.PermGroFacAgg = PermGroFacAgg\n", - " PolyStateEconomy.PermShkAggStd = StateCount * [0.006]\n", - " PolyStateEconomy.TranShkAggStd = StateCount * [0.003]\n", - " PolyStateEconomy.slope_prev = StateCount * [1.0]\n", - " PolyStateEconomy.intercept_prev = StateCount * [0.0]\n", - " PolyStateEconomy.update()\n", - " PolyStateEconomy.makeAggShkDstn()\n", - " PolyStateEconomy.make_AggShkHist() # Simulate a history of aggregate shocks\n", - " PolyStateExample.get_economy_data(\n", - " PolyStateEconomy,\n", - " ) # Have the consumers inherit relevant objects from the economy\n", - "\n", - " # Solve the many state model\n", - " t_start = process_time()\n", - " print(\n", - " \"Now solving an economy with \"\n", - " + str(StateCount)\n", - " + \" Markov states. This might take a while...\",\n", - " )\n", - " PolyStateEconomy.solve()\n", - " t_end = process_time()\n", - " print(\n", - " \"Solving a model with \"\n", - " + str(StateCount)\n", - " + \" states took \"\n", - " + str(t_end - t_start)\n", - " + \" seconds.\",\n", - " )" - ] - } - ], - "metadata": { - "jupytext": { - "cell_metadata_filter": "-all", - "formats": "ipynb,py:percent" - }, - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.9" - }, - "latex_envs": { - "LaTeX_envs_menu_present": true, - "autoclose": false, - "autocomplete": true, - "bibliofile": "biblio.bib", - "cite_by": "apalike", - "current_citInitial": 1, - "eqLabelWithNumbers": true, - "eqNumInitial": 1, - "hotkeys": { - "equation": "Ctrl-E", - "itemize": "Ctrl-I" - }, - "labels_anchors": false, - "latex_user_defs": false, - "report_style_numbering": false, - "user_envs_cfg": false - } + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "tags": [] + }, + "source": [ + "# Example ConsAggShockModel" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:23:22.349452Z", + "iopub.status.busy": "2024-07-11T15:23:22.349156Z", + "iopub.status.idle": "2024-07-11T15:23:23.282879Z", + "shell.execute_reply": "2024-07-11T15:23:23.282351Z" + } + }, + "outputs": [], + "source": [ + "from copy import deepcopy\n", + "from time import process_time\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "from HARK.ConsumptionSaving.ConsAggShockModel import (\n", + " AggShockConsumerType,\n", + " AggShockMarkovConsumerType,\n", + " CobbDouglasEconomy,\n", + " CobbDouglasMarkovEconomy,\n", + ")\n", + "from HARK.distributions import DiscreteDistribution\n", + "from HARK.utilities import plot_funcs\n", + "\n", + "\n", + "def mystr(number):\n", + " return f\"{number:.4f}\"" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:23:23.284817Z", + "iopub.status.busy": "2024-07-11T15:23:23.284556Z", + "iopub.status.idle": "2024-07-11T15:23:23.287378Z", + "shell.execute_reply": "2024-07-11T15:23:23.286915Z" + } + }, + "outputs": [], + "source": [ + "# Solve an AggShockConsumerType's microeconomic problem\n", + "solve_agg_shocks_micro = False\n", + "# Solve for the equilibrium aggregate saving rule in a CobbDouglasEconomy\n", + "solve_agg_shocks_market = True\n", + "# Solve an AggShockMarkovConsumerType's microeconomic problem\n", + "solve_markov_micro = False\n", + "# Solve for the equilibrium aggregate saving rule in a CobbDouglasMarkovEconomy\n", + "solve_markov_market = False\n", + "# Solve a simple Krusell-Smith-style two state, two shock model\n", + "solve_krusell_smith = True\n", + "# Solve a CobbDouglasEconomy with many states, potentially utilizing the \"state jumper\"\n", + "solve_poly_state = False" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Example implementation of AggShockConsumerType" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:23:23.288851Z", + "iopub.status.busy": "2024-07-11T15:23:23.288677Z", + "iopub.status.idle": "2024-07-11T15:23:23.297131Z", + "shell.execute_reply": "2024-07-11T15:23:23.296662Z" + } + }, + "outputs": [], + "source": [ + "if solve_agg_shocks_micro or solve_agg_shocks_market:\n", + " # Make an aggregate shocks consumer type\n", + " AggShockExample = AggShockConsumerType()\n", + " AggShockExample.cycles = 0\n", + "\n", + " # Make a Cobb-Douglas economy for the agents\n", + " EconomyExample = CobbDouglasEconomy(agents=[AggShockExample])\n", + " EconomyExample.make_AggShkHist() # Simulate a history of aggregate shocks\n", + "\n", + " # Have the consumers inherit relevant objects from the economy\n", + " AggShockExample.get_economy_data(EconomyExample)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:23:23.298622Z", + "iopub.status.busy": "2024-07-11T15:23:23.298385Z", + "iopub.status.idle": "2024-07-11T15:23:23.301612Z", + "shell.execute_reply": "2024-07-11T15:23:23.301166Z" + } + }, + "outputs": [], + "source": [ + "if solve_agg_shocks_micro:\n", + " # Solve the microeconomic model for the aggregate shocks example type (and display results)\n", + " t_start = process_time()\n", + " AggShockExample.solve()\n", + " t_end = process_time()\n", + " print(\n", + " \"Solving an aggregate shocks consumer took \"\n", + " + mystr(t_end - t_start)\n", + " + \" seconds.\",\n", + " )\n", + " print(\n", + " \"Consumption function at each aggregate market resources-to-labor ratio gridpoint:\",\n", + " )\n", + " m_grid = np.linspace(0, 10, 200)\n", + " AggShockExample.unpack(\"cFunc\")\n", + " for M in AggShockExample.Mgrid.tolist():\n", + " mMin = AggShockExample.solution[0].mNrmMin(M)\n", + " c_at_this_M = AggShockExample.cFunc[0](m_grid + mMin, M * np.ones_like(m_grid))\n", + " plt.plot(m_grid + mMin, c_at_this_M)\n", + " plt.ylim(0.0, None)\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:23:23.302965Z", + "iopub.status.busy": "2024-07-11T15:23:23.302762Z", + "iopub.status.idle": "2024-07-11T15:25:57.519420Z", + "shell.execute_reply": "2024-07-11T15:25:57.518916Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Now solving for the equilibrium of a Cobb-Douglas economy. This might take a few minutes...\n" + ] }, - "nbformat": 4, - "nbformat_minor": 4 + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=-0.33966384051602827, slope=1.102624348735711, r-sq=0.9966224603747361\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=-0.4959923714165125, slope=1.1479009506512385, r-sq=0.99473669162057\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=-0.45166864478060786, slope=1.1124057973784134, r-sq=0.9821113562470477\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=-0.3840154156210827, slope=1.0841395602960584, r-sq=0.9875705261040257\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=-0.36198128155029563, slope=1.0753681485578617, r-sq=0.9905843996750162\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=-0.3523090029998188, slope=1.0715656485158445, r-sq=0.9908961093312041\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=-0.34805666066738283, slope=1.0699082913395124, r-sq=0.9910154806768872\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=-0.3461952993752169, slope=1.0691876132809157, r-sq=0.991065010874361\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=-0.3453850118498396, slope=1.0688755589956198, r-sq=0.9910860802385022\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=-0.3450341442894489, slope=1.068741033425316, r-sq=0.9910951040899086\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=-0.3448829558954367, slope=1.0686832829276534, r-sq=0.9910989700363684\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=-0.3448180900636173, slope=1.0686585844571508, r-sq=0.991100623001836\n", + "Solving the \"macroeconomic\" aggregate shocks model took 154.01046979999998 seconds.\n", + "Aggregate savings as a function of aggregate market resources:\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/mnt/c/Users/alujan/GitHub/alanlujan91/HARK/HARK/ConsumptionSaving/ConsAggShockModel.py:3207: RuntimeWarning: divide by zero encountered in log\n", + " Aagg = np.exp(self.intercept + self.slope * np.log(Mnow))\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Consumption function at each aggregate market resources gridpoint (in general equilibrium):\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "if solve_agg_shocks_market:\n", + " # Solve the \"macroeconomic\" model by searching for a \"fixed point dynamic rule\"\n", + " t_start = process_time()\n", + " print(\n", + " \"Now solving for the equilibrium of a Cobb-Douglas economy. This might take a few minutes...\",\n", + " )\n", + " EconomyExample.solve()\n", + " t_end = process_time()\n", + " print(\n", + " 'Solving the \"macroeconomic\" aggregate shocks model took '\n", + " + str(t_end - t_start)\n", + " + \" seconds.\",\n", + " )\n", + "\n", + " print(\"Aggregate savings as a function of aggregate market resources:\")\n", + " plot_funcs(EconomyExample.AFunc, 0, 2 * EconomyExample.kSS)\n", + " print(\n", + " \"Consumption function at each aggregate market resources gridpoint (in general equilibrium):\",\n", + " )\n", + " AggShockExample.unpack(\"cFunc\")\n", + " m_grid = np.linspace(0, 10, 200)\n", + " AggShockExample.unpack(\"cFunc\")\n", + " for M in AggShockExample.Mgrid.tolist():\n", + " mMin = AggShockExample.solution[0].mNrmMin(M)\n", + " c_at_this_M = AggShockExample.cFunc[0](m_grid + mMin, M * np.ones_like(m_grid))\n", + " plt.plot(m_grid + mMin, c_at_this_M)\n", + " plt.ylim(0.0, None)\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Example Implementations of AggShockMarkovConsumerType" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:25:57.521152Z", + "iopub.status.busy": "2024-07-11T15:25:57.520884Z", + "iopub.status.idle": "2024-07-11T15:25:57.550165Z", + "shell.execute_reply": "2024-07-11T15:25:57.549432Z" + } + }, + "outputs": [], + "source": [ + "if solve_markov_micro or solve_markov_market or solve_krusell_smith:\n", + " # Make a Markov aggregate shocks consumer type\n", + " AggShockMrkvExample = AggShockMarkovConsumerType()\n", + " AggShockMrkvExample.IncShkDstn = [2 * [AggShockMrkvExample.IncShkDstn[0]]]\n", + " AggShockMrkvExample.cycles = 0\n", + "\n", + " # Make a Cobb-Douglas economy for the agents\n", + " MrkvEconomyExample = CobbDouglasMarkovEconomy(agents=[AggShockMrkvExample])\n", + " MrkvEconomyExample.DampingFac = 0.2 # Turn down damping\n", + " MrkvEconomyExample.make_AggShkHist() # Simulate a history of aggregate shocks\n", + " AggShockMrkvExample.get_economy_data(\n", + " MrkvEconomyExample,\n", + " ) # Have the consumers inherit relevant objects from the economy" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:25:57.552124Z", + "iopub.status.busy": "2024-07-11T15:25:57.551838Z", + "iopub.status.idle": "2024-07-11T15:25:57.556201Z", + "shell.execute_reply": "2024-07-11T15:25:57.555663Z" + } + }, + "outputs": [], + "source": [ + "if solve_markov_micro:\n", + " # Solve the microeconomic model for the Markov aggregate shocks example type (and display results)\n", + " t_start = process_time()\n", + " AggShockMrkvExample.solve()\n", + " t_end = process_time()\n", + " print(\n", + " \"Solving an aggregate shocks Markov consumer took \"\n", + " + mystr(t_end - t_start)\n", + " + \" seconds.\",\n", + " )\n", + "\n", + " print(\n", + " \"Consumption function at each aggregate market \\\n", + " resources-to-labor ratio gridpoint (for each macro state):\",\n", + " )\n", + " m_grid = np.linspace(0, 10, 200)\n", + " AggShockMrkvExample.unpack(\"cFunc\")\n", + " for i in range(2):\n", + " for M in AggShockMrkvExample.Mgrid.tolist():\n", + " mMin = AggShockMrkvExample.solution[0].mNrmMin[i](M)\n", + " c_at_this_M = AggShockMrkvExample.cFunc[0][i](\n", + " m_grid + mMin,\n", + " M * np.ones_like(m_grid),\n", + " )\n", + " plt.plot(m_grid + mMin, c_at_this_M)\n", + " plt.ylim(0.0, None)\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:25:57.557710Z", + "iopub.status.busy": "2024-07-11T15:25:57.557447Z", + "iopub.status.idle": "2024-07-11T15:25:57.561222Z", + "shell.execute_reply": "2024-07-11T15:25:57.560704Z" + } + }, + "outputs": [], + "source": [ + "if solve_markov_market:\n", + " # Solve the \"macroeconomic\" model by searching for a \"fixed point dynamic rule\"\n", + " t_start = process_time()\n", + " print(\"Now solving a two-state Markov economy. This should take a few minutes...\")\n", + " MrkvEconomyExample.solve()\n", + " t_end = process_time()\n", + " print(\n", + " 'Solving the \"macroeconomic\" aggregate shocks model took '\n", + " + str(t_end - t_start)\n", + " + \" seconds.\",\n", + " )\n", + "\n", + " print(\n", + " \"Consumption function at each aggregate market \\\n", + " resources-to-labor ratio gridpoint (for each macro state):\",\n", + " )\n", + " m_grid = np.linspace(0, 10, 200)\n", + " AggShockMrkvExample.unpack(\"cFunc\")\n", + " for i in range(2):\n", + " for M in AggShockMrkvExample.Mgrid.tolist():\n", + " mMin = AggShockMrkvExample.solution[0].mNrmMin[i](M)\n", + " c_at_this_M = AggShockMrkvExample.cFunc[0][i](\n", + " m_grid + mMin,\n", + " M * np.ones_like(m_grid),\n", + " )\n", + " plt.plot(m_grid + mMin, c_at_this_M)\n", + " plt.ylim(0.0, None)\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:25:57.562719Z", + "iopub.status.busy": "2024-07-11T15:25:57.562451Z", + "iopub.status.idle": "2024-07-11T15:26:38.867366Z", + "shell.execute_reply": "2024-07-11T15:26:38.866872Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Now solving a Krusell-Smith-style economy. This should take about a minute...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=[-0.5817183825422839, -0.5703319414353534], slope=[1.180307914835392, 1.182408206717251], r-sq=[0.9975542198241366, 0.9980320884475001]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=[-0.4180260563496857, -0.41316539564814475], slope=[1.08342735891103, 1.0852799171504508], r-sq=[0.99973377603989, 0.9993225507148125]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=[-0.3600899736514895, -0.35512016452337497], slope=[1.0714753213364976, 1.0712256905434414], r-sq=[0.9999986714166439, 0.9999961301697309]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=[-0.3788395320005977, -0.3715109817321105], slope=[1.0786573434429672, 1.0774887741894947], r-sq=[0.9999982037028008, 0.9999942754223826]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=[-0.37896012954317376, -0.37156486819095047], slope=[1.0787111353569707, 1.0775241504232804], r-sq=[0.9999982049718272, 0.9999940788572959]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "intercept=[-0.37899550407019866, -0.3715956660284524], slope=[1.0787232463104646, 1.0775357473879463], r-sq=[0.9999982037318698, 0.9999940713848707]\n", + "Solving the Krusell-Smith model took 41.253191999999984 seconds.\n" + ] + } + ], + "source": [ + "if solve_krusell_smith:\n", + " # Make a Krusell-Smith agent type\n", + " # NOTE: These agents aren't exactly like KS, as they don't have serially correlated unemployment\n", + " KSexampleType = deepcopy(AggShockMrkvExample)\n", + " KSexampleType.IncShkDstn[0] = [\n", + " DiscreteDistribution(\n", + " np.array([0.96, 0.04]),\n", + " np.array([[1.0, 1.0], [1.0 / 0.96, 0.0]]),\n", + " ),\n", + " DiscreteDistribution(\n", + " np.array([0.90, 0.10]),\n", + " np.array([[1.0, 1.0], [1.0 / 0.90, 0.0]]),\n", + " ),\n", + " ]\n", + "\n", + " # Make a KS economy\n", + " KSeconomy = deepcopy(MrkvEconomyExample)\n", + " KSeconomy.agents = [KSexampleType]\n", + " KSeconomy.AggShkDstn = [\n", + " DiscreteDistribution(\n", + " np.array([1.0]),\n", + " np.array([[1.0], [1.05]]),\n", + " ),\n", + " DiscreteDistribution(\n", + " np.array([1.0]),\n", + " np.array([[1.0], [0.95]]),\n", + " ),\n", + " ]\n", + " KSeconomy.PermGroFacAgg = [1.0, 1.0]\n", + " KSexampleType.get_economy_data(KSeconomy)\n", + " KSeconomy.make_AggShkHist()\n", + "\n", + " # Solve the K-S model\n", + " t_start = process_time()\n", + " print(\n", + " \"Now solving a Krusell-Smith-style economy. This should take about a minute...\",\n", + " )\n", + " KSeconomy.solve()\n", + " t_end = process_time()\n", + " print(\"Solving the Krusell-Smith model took \" + str(t_end - t_start) + \" seconds.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:26:38.869121Z", + "iopub.status.busy": "2024-07-11T15:26:38.868870Z", + "iopub.status.idle": "2024-07-11T15:26:38.873890Z", + "shell.execute_reply": "2024-07-11T15:26:38.873386Z" + } + }, + "outputs": [], + "source": [ + "if solve_poly_state:\n", + " StateCount = 15 # Number of Markov states\n", + " GrowthAvg = 1.01 # Average permanent income growth factor\n", + " GrowthWidth = 0.02 # PermGroFacAgg deviates from PermGroFacAgg in this range\n", + " Persistence = 0.90 # Probability of staying in the same Markov state\n", + " PermGroFacAgg = np.linspace(\n", + " GrowthAvg - GrowthWidth,\n", + " GrowthAvg + GrowthWidth,\n", + " num=StateCount,\n", + " )\n", + "\n", + " # Make the Markov array with chosen states and persistence\n", + " PolyMrkvArray = np.zeros((StateCount, StateCount))\n", + " for i in range(StateCount):\n", + " for j in range(StateCount):\n", + " if i == j:\n", + " PolyMrkvArray[i, j] = Persistence\n", + " elif (i == (j - 1)) or (i == (j + 1)):\n", + " PolyMrkvArray[i, j] = 0.5 * (1.0 - Persistence)\n", + " PolyMrkvArray[0, 0] += 0.5 * (1.0 - Persistence)\n", + " PolyMrkvArray[StateCount - 1, StateCount - 1] += 0.5 * (1.0 - Persistence)\n", + "\n", + " # Make a consumer type to inhabit the economy\n", + " PolyStateExample = AggShockMarkovConsumerType()\n", + " PolyStateExample.MrkvArray = PolyMrkvArray\n", + " PolyStateExample.PermGroFacAgg = PermGroFacAgg\n", + " PolyStateExample.IncShkDstn[0] = StateCount * [PolyStateExample.IncShkDstn[0]]\n", + " PolyStateExample.cycles = 0\n", + "\n", + " # Make a Cobb-Douglas economy for the agents\n", + " # Use verbose=False to remove printing of intercept\n", + " PolyStateEconomy = CobbDouglasMarkovEconomy(\n", + " agents=[PolyStateExample],\n", + " verbose=False,\n", + " )\n", + " PolyStateEconomy.MrkvArray = PolyMrkvArray\n", + " PolyStateEconomy.PermGroFacAgg = PermGroFacAgg\n", + " PolyStateEconomy.PermShkAggStd = StateCount * [0.006]\n", + " PolyStateEconomy.TranShkAggStd = StateCount * [0.003]\n", + " PolyStateEconomy.slope_prev = StateCount * [1.0]\n", + " PolyStateEconomy.intercept_prev = StateCount * [0.0]\n", + " PolyStateEconomy.update()\n", + " PolyStateEconomy.makeAggShkDstn()\n", + " PolyStateEconomy.make_AggShkHist() # Simulate a history of aggregate shocks\n", + " PolyStateExample.get_economy_data(\n", + " PolyStateEconomy,\n", + " ) # Have the consumers inherit relevant objects from the economy\n", + "\n", + " # Solve the many state model\n", + " t_start = process_time()\n", + " print(\n", + " \"Now solving an economy with \"\n", + " + str(StateCount)\n", + " + \" Markov states. This might take a while...\",\n", + " )\n", + " PolyStateEconomy.solve()\n", + " t_end = process_time()\n", + " print(\n", + " \"Solving a model with \"\n", + " + str(StateCount)\n", + " + \" states took \"\n", + " + str(t_end - t_start)\n", + " + \" seconds.\",\n", + " )" + ] + } + ], + "metadata": { + "jupytext": { + "cell_metadata_filter": "-all", + "formats": "ipynb,py:percent" + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + }, + "latex_envs": { + "LaTeX_envs_menu_present": true, + "autoclose": false, + "autocomplete": true, + "bibliofile": "biblio.bib", + "cite_by": "apalike", + "current_citInitial": 1, + "eqLabelWithNumbers": true, + "eqNumInitial": 1, + "hotkeys": { + "equation": "Ctrl-E", + "itemize": "Ctrl-I" + }, + "labels_anchors": false, + "latex_user_defs": false, + "report_style_numbering": false, + "user_envs_cfg": false + } + }, + "nbformat": 4, + "nbformat_minor": 4 } diff --git a/examples/ConsumptionSaving/example_ConsMarkovModel.ipynb b/examples/ConsumptionSaving/example_ConsMarkovModel.ipynb index d648e6541..f388077cc 100644 --- a/examples/ConsumptionSaving/example_ConsMarkovModel.ipynb +++ b/examples/ConsumptionSaving/example_ConsMarkovModel.ipynb @@ -1,795 +1,795 @@ { - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:31.723046Z", - "iopub.status.busy": "2024-07-11T15:27:31.722813Z", - "iopub.status.idle": "2024-07-11T15:27:32.481049Z", - "shell.execute_reply": "2024-07-11T15:27:32.480477Z" - } - }, - "outputs": [], - "source": [ - "from copy import copy, deepcopy\n", - "from time import process_time\n", - "\n", - "import numpy as np\n", - "\n", - "from HARK.ConsumptionSaving.ConsMarkovModel import (\n", - " MarkovConsumerType,\n", - " init_indshk_markov,\n", - ")\n", - "from HARK.distributions import DiscreteDistributionLabeled\n", - "from HARK.utilities import plot_funcs\n", - "\n", - "mystr = lambda number: f\"{number:.4f}\"\n", - "do_simulation = True" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This module defines consumption-saving models in which an agent has CRRA utility over consumption, geometrically discounts future utility flows and expects to experience transitory and permanent shocks to his/her income. Moreover, in any given period s/he is in exactly one of several discrete states. This state evolves from period to period according to a Markov process." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In this model, an agent is very similar to the one in the \"idiosyncratic shocks\" model of $\\texttt{ConsPrefShockModel}$, except that here, an agent's income distribution ($F_{\\psi t},F_{\\theta t}$), permanent income growth rate $\\Gamma_{t+1}$ and interest factor $R$ are all functions of the Markov state and might vary across states.\n", - "\n", - "The agent's problem can be written in Bellman form as:\n", - "\n", - "\\begin{eqnarray*}\n", - "v_t(m_t,s_t) &=& \\max_{c_t} u(c_t) + \\beta (1-\\mathsf{D}_{t+1}) \\mathbb{E} [v_{t+1}(m_{t+1}, s_{t+1}) ], \\\\\n", - "a_t &=& m_t - c_t, \\\\\n", - "a_t &\\geq& \\underline{a}, \\\\\n", - "m_{t+1} &=& \\frac{R(s_{t+1})}{\\Gamma(s_{t+1})\\psi_{t+1}} a_t + \\theta_{t+1}, \\\\\n", - "\\theta_{t} \\sim F_{\\theta t}(s_t), &\\qquad& \\psi_{t} \\sim F_{\\psi t}(s_t), \\mathbb{E} [F_{\\psi t}(s_t)] = 1, \\\\\n", - "Prob[s_{t+1}=j| s_t=i] &=& \\triangle_{ij}, \\\\\n", - "u(c) &=& \\frac{c^{1-\\rho}}{1-\\rho}\n", - "\\end{eqnarray*}\n", - "\n", - "The Markov matrix $\\triangle$ is giving transition probabilities from current state $i$ to future state $j$." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The one period problem for this model is solved by the function $\\texttt{solveConsMarkov}$, which creates an instance of the class $\\texttt{ConsMarkovSolver}$. The class $\\texttt{MarkovConsumerType}$ extends $\\texttt{IndShockConsumerType}$ to represents agents in this model.\n", - "\n", - "To construct an instance of this class, the same attributes as for $\\texttt{IndShockConsumerType}$ are required, except for one as described below:" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Additional parameter value to solve an instance of MarkovConsumerType\n", - "\n", - "| Param | Description | Code | Value | Constructed |\n", - "| :---: | --- | --- | --- | :---: |\n", - "| $\\triangle$ |Discrete state transition probability matrix | $\\texttt{MrkvArray}$ | |$\\surd$ |\n", - "\n", - "The attribute $\\texttt{MrkvArray}$ is a $\\texttt{numpy.array}$ of size ($N_s$, $N_s$) corresponding to the number of discrete states.\n", - "\n", - "Note that $\\texttt{MrkvArray}$ is am element of $\\texttt{time_inv}$, so that the same transition probabilities are used for each period. However, it can be moved to $\\texttt{time_vary}$ and specified as a list of $\\texttt{array}$s instead.\n", - "\n", - "The attributes $\\texttt{Rfree}$, $\\texttt{PermGroFac}$ and $\\texttt{IncomeDstn}$ should be specified as arrays or lists with $N_s$ elements for each period." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Solve MarkovConsumerType\n", - "\n", - "When the $\\texttt{MarkovConsumerType}$ method of a $\\texttt{MarkovConsumerType}$ is invoked, the $\\texttt{solution}$ attribute is populated with a list of $\\texttt{ConsumerSolution}$ objects, which each have the same attributes as the \"idiosyncratic shocks\" model. However, each attribute is now a list (or array) whose elements are *state-conditional* values of that object.\n", - "\n", - "For example, in a model with 4 discrete states, each the $\\texttt{cFunc}$ attribute of each element of $\\texttt{solution}$ is a length-4 list whose elements are state-conditional consumption functions. That is, $\\texttt{cFunc[2]}$ is the consumption function when $s_t = 2$.\n", - "\n", - "$\\texttt{ConsMarkovModel}$ is compatible with cubic spline interpolation for the consumption functions, so $\\texttt{CubicBool = True}$ will not generate an exception. The problem is solved using the [method of endogenous gridpoints](https://www.econ2.jhu.edu/people/ccarroll/EndogenousGridpoints.pdf), which is moderately more complicated than in the basic $\\texttt{ConsPrefShockModel}$." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:32.483030Z", - "iopub.status.busy": "2024-07-11T15:27:32.482767Z", - "iopub.status.idle": "2024-07-11T15:27:32.486741Z", - "shell.execute_reply": "2024-07-11T15:27:32.486279Z" - } - }, - "outputs": [], - "source": [ - "# Define the Markov transition matrix for serially correlated unemployment\n", - "unemp_length = 5 # Averange length of unemployment spell\n", - "urate_good = 0.05 # Unemployment rate when economy is in good state\n", - "urate_bad = 0.12 # Unemployment rate when economy is in bad state\n", - "bust_prob = 0.01 # Probability of economy switching from good to bad\n", - "recession_length = 20 # Averange length of bad state\n", - "p_reemploy = 1.0 / unemp_length\n", - "p_unemploy_good = p_reemploy * urate_good / (1 - urate_good)\n", - "p_unemploy_bad = p_reemploy * urate_bad / (1 - urate_bad)\n", - "boom_prob = 1.0 / recession_length\n", - "MrkvArray = np.array(\n", - " [\n", - " [\n", - " (1 - p_unemploy_good) * (1 - bust_prob),\n", - " p_unemploy_good * (1 - bust_prob),\n", - " (1 - p_unemploy_good) * bust_prob,\n", - " p_unemploy_good * bust_prob,\n", - " ],\n", - " [\n", - " p_reemploy * (1 - bust_prob),\n", - " (1 - p_reemploy) * (1 - bust_prob),\n", - " p_reemploy * bust_prob,\n", - " (1 - p_reemploy) * bust_prob,\n", - " ],\n", - " [\n", - " (1 - p_unemploy_bad) * boom_prob,\n", - " p_unemploy_bad * boom_prob,\n", - " (1 - p_unemploy_bad) * (1 - boom_prob),\n", - " p_unemploy_bad * (1 - boom_prob),\n", - " ],\n", - " [\n", - " p_reemploy * boom_prob,\n", - " (1 - p_reemploy) * boom_prob,\n", - " p_reemploy * (1 - boom_prob),\n", - " (1 - p_reemploy) * (1 - boom_prob),\n", - " ],\n", - " ],\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Several variant examples of the model will be illustrated below such that:\n", - "1. Model with serially correlated unemployment\n", - "2. Model with period of \"unemployment immunity\"\n", - "3. Model with serially correlated permanent income growth\n", - "4. Model with serially correlated interest factor\n", - "\n", - "### 1. Serial Unemployment\n", - "\n", - "Let's create a consumer similar to the one in \"idiosyncratic shock\" model but who faces serially correlated unemployment during boom or bust cycles of the economy." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:32.488109Z", - "iopub.status.busy": "2024-07-11T15:27:32.487941Z", - "iopub.status.idle": "2024-07-11T15:27:32.494743Z", - "shell.execute_reply": "2024-07-11T15:27:32.494254Z" - } - }, - "outputs": [], - "source": [ - "# Make a consumer with serially correlated unemployment, subject to boom and bust cycles\n", - "init_serial_unemployment = copy(init_indshk_markov)\n", - "init_serial_unemployment[\"MrkvArray\"] = [MrkvArray]\n", - "init_serial_unemployment[\"UnempPrb\"] = 0.0 # to make income distribution when employed\n", - "init_serial_unemployment[\"global_markov\"] = False\n", - "SerialUnemploymentExample = MarkovConsumerType(**init_serial_unemployment)\n", - "SerialUnemploymentExample.cycles = 0\n", - "SerialUnemploymentExample.vFuncBool = False # for easy toggling here" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:32.496369Z", - "iopub.status.busy": "2024-07-11T15:27:32.496131Z", - "iopub.status.idle": "2024-07-11T15:27:32.500052Z", - "shell.execute_reply": "2024-07-11T15:27:32.499597Z" - } - }, - "outputs": [], - "source": [ - "# Replace the default (lognormal) income distribution with a custom one\n", - "employed_income_dist = DiscreteDistributionLabeled(\n", - " pmv=np.ones(1),\n", - " atoms=np.array([[1.0], [1.0]]),\n", - " var_names=[\"PermShk\", \"TranShk\"],\n", - ") # Definitely get income\n", - "unemployed_income_dist = DiscreteDistributionLabeled(\n", - " pmv=np.ones(1),\n", - " atoms=np.array([[1.0], [0.0]]),\n", - " var_names=[\"PermShk\", \"TranShk\"],\n", - ") # Definitely don't\n", - "SerialUnemploymentExample.IncShkDstn = [\n", - " [\n", - " employed_income_dist,\n", - " unemployed_income_dist,\n", - " employed_income_dist,\n", - " unemployed_income_dist,\n", - " ],\n", - "]\n", - "SerialUnemploymentExample.assign_parameters(MrkvArray=[MrkvArray])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Note that $\\texttt{MarkovConsumerType}$ currently has no method to automatically construct a valid IncomeDstn - $\\texttt{IncomeDstn}$ is manually constructed in each case. Writing a method to supersede $\\texttt{IndShockConsumerType.update\\_income_process}$ for the “Markov model” would be a welcome contribution!" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:32.501627Z", - "iopub.status.busy": "2024-07-11T15:27:32.501247Z", - "iopub.status.idle": "2024-07-11T15:27:32.503891Z", - "shell.execute_reply": "2024-07-11T15:27:32.503445Z" - } - }, - "outputs": [], - "source": [ - "# Interest factor, permanent growth rates, and survival probabilities are constant arrays\n", - "SerialUnemploymentExample.assign_parameters(Rfree=np.array(1.03 * np.ones(4)))\n", - "SerialUnemploymentExample.PermGroFac = [1.0 * np.ones(4)]\n", - "SerialUnemploymentExample.LivPrb = [0.98 * np.ones(4)]" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:32.505321Z", - "iopub.status.busy": "2024-07-11T15:27:32.505080Z", - "iopub.status.idle": "2024-07-11T15:27:32.951132Z", - "shell.execute_reply": "2024-07-11T15:27:32.950636Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "The calc_limiting_values method must be run before the calc_stable_points method.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Solving a Markov consumer with serially correlated unemployment took 0.1601 seconds.\n", - "Consumption functions for each discrete state:\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Solve the serial unemployment consumer's problem and display solution\n", - "start_time = process_time()\n", - "SerialUnemploymentExample.solve()\n", - "end_time = process_time()\n", - "print(\n", - " \"Solving a Markov consumer with serially correlated unemployment took \"\n", - " + mystr(end_time - start_time)\n", - " + \" seconds.\",\n", - ")\n", - "print(\"Consumption functions for each discrete state:\")\n", - "plot_funcs(SerialUnemploymentExample.solution[0].cFunc, 0, 50)\n", - "if SerialUnemploymentExample.vFuncBool:\n", - " print(\"Value functions for each discrete state:\")\n", - " plot_funcs(SerialUnemploymentExample.solution[0].vFunc, 5, 50)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:32.952916Z", - "iopub.status.busy": "2024-07-11T15:27:32.952560Z", - "iopub.status.idle": "2024-07-11T15:27:46.174749Z", - "shell.execute_reply": "2024-07-11T15:27:46.174185Z" - } - }, - "outputs": [], - "source": [ - "# Simulate some data; results stored in cHist, mNrm_hist, cNrm_hist, and Mrkv_hist\n", - "if do_simulation:\n", - " SerialUnemploymentExample.T_sim = 120\n", - " SerialUnemploymentExample.MrkvPrbsInit = [0.25, 0.25, 0.25, 0.25]\n", - " SerialUnemploymentExample.track_vars = [\"mNrm\", \"cNrm\"]\n", - " SerialUnemploymentExample.make_shock_history() # This is optional\n", - " SerialUnemploymentExample.initialize_sim()\n", - " SerialUnemploymentExample.simulate()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 2. Unemployment immunity for a fixed period\n", - "\n", - "Let's create a consumer similar to the one in \"idiosyncratic shock\" model but who occasionally gets \"unemployment immunity\" for a fixed period in an economy subject to boom and bust cycles." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:46.176759Z", - "iopub.status.busy": "2024-07-11T15:27:46.176483Z", - "iopub.status.idle": "2024-07-11T15:27:46.179195Z", - "shell.execute_reply": "2024-07-11T15:27:46.178722Z" - } - }, - "outputs": [], - "source": [ - "# Make a consumer who occasionally gets \"unemployment immunity\" for a fixed period\n", - "UnempPrb = 0.05 # Probability of becoming unemployed each period\n", - "ImmunityPrb = 0.01 # Probability of becoming \"immune\" to unemployment\n", - "ImmunityT = 6 # Number of periods of immunity" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:46.180645Z", - "iopub.status.busy": "2024-07-11T15:27:46.180431Z", - "iopub.status.idle": "2024-07-11T15:27:46.184495Z", - "shell.execute_reply": "2024-07-11T15:27:46.184006Z" - } - }, - "outputs": [], - "source": [ - "StateCount = ImmunityT + 1 # Total number of Markov states\n", - "IncomeDstnReg = DiscreteDistributionLabeled(\n", - " pmv=np.array([1 - UnempPrb, UnempPrb]),\n", - " atoms=np.array([[1.0, 1.0], [1.0 / (1.0 - UnempPrb), 0.0]]),\n", - " var_names=[\"PermShk\", \"TranShk\"],\n", - ") # Ordinary income distribution\n", - "IncomeDstnImm = DiscreteDistributionLabeled(\n", - " pmv=np.array([1.0]),\n", - " atoms=np.array([[1.0], [1.0]]),\n", - " var_names=[\"PermShk\", \"TranShk\"],\n", - ")\n", - "IncomeDstn = [IncomeDstnReg] + ImmunityT * [\n", - " IncomeDstnImm,\n", - "] # Income distribution for each Markov state, in a list" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:46.185937Z", - "iopub.status.busy": "2024-07-11T15:27:46.185707Z", - "iopub.status.idle": "2024-07-11T15:27:46.188578Z", - "shell.execute_reply": "2024-07-11T15:27:46.188134Z" - } - }, - "outputs": [], - "source": [ - "# Make the Markov transition array. MrkvArray[i,j] is the probability of transitioning\n", - "# to state j in period t+1 from state i in period t.\n", - "MrkvArray = np.zeros((StateCount, StateCount))\n", - "MrkvArray[0, 0] = (\n", - " 1.0 - ImmunityPrb\n", - ") # Probability of not becoming immune in ordinary state: stay in ordinary state\n", - "MrkvArray[0, ImmunityT] = (\n", - " ImmunityPrb # Probability of becoming immune in ordinary state: begin immunity periods\n", - ")\n", - "for j in range(ImmunityT):\n", - " MrkvArray[j + 1, j] = (\n", - " 1.0 # When immune, have 100% chance of transition to state with one fewer immunity periods remaining\n", - " )" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:46.190198Z", - "iopub.status.busy": "2024-07-11T15:27:46.189723Z", - "iopub.status.idle": "2024-07-11T15:27:46.196479Z", - "shell.execute_reply": "2024-07-11T15:27:46.196022Z" - } - }, - "outputs": [], - "source": [ - "init_unemployment_immunity = copy(init_indshk_markov)\n", - "init_unemployment_immunity[\"MrkvArray\"] = [MrkvArray]\n", - "ImmunityExample = MarkovConsumerType(**init_unemployment_immunity)\n", - "ImmunityExample.assign_parameters(MrkvArray=[MrkvArray])\n", - "ImmunityExample.assign_parameters(\n", - " Rfree=np.array(np.array(StateCount * [1.03])), # Interest factor same in all states\n", - " PermGroFac=[\n", - " np.array(StateCount * [1.01]),\n", - " ], # Permanent growth factor same in all states\n", - " LivPrb=[np.array(StateCount * [0.98])], # Same survival probability in all states\n", - " BoroCnstArt=None, # No artificial borrowing constraint\n", - " cycles=0,\n", - ") # Infinite horizon\n", - "ImmunityExample.IncShkDstn = [IncomeDstn]" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:46.197916Z", - "iopub.status.busy": "2024-07-11T15:27:46.197696Z", - "iopub.status.idle": "2024-07-11T15:27:46.422573Z", - "shell.execute_reply": "2024-07-11T15:27:46.422017Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "The calc_limiting_values method must be run before the calc_stable_points method.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Solving an \"unemployment immunity\" consumer took 0.1454 seconds.\n", - "Consumption functions for each discrete state:\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/mnt/c/Users/alujan/GitHub/alanlujan91/HARK/HARK/interpolation.py:2188: RuntimeWarning: All-NaN slice encountered\n", - " y = self.compare(fx, axis=1)\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Solve the unemployment immunity problem and display the consumption functions\n", - "start_time = process_time()\n", - "ImmunityExample.solve()\n", - "end_time = process_time()\n", - "print(\n", - " 'Solving an \"unemployment immunity\" consumer took '\n", - " + mystr(end_time - start_time)\n", - " + \" seconds.\",\n", - ")\n", - "print(\"Consumption functions for each discrete state:\")\n", - "mNrmMin = np.min([ImmunityExample.solution[0].mNrmMin[j] for j in range(StateCount)])\n", - "plot_funcs(ImmunityExample.solution[0].cFunc, mNrmMin, 10)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 3. Serial permanent income growth\n", - "\n", - "Let's create a consumer similar to the one in \"idiosyncratic shock\" model but who faces serially correlated permanent income growth in an economy subject to boom and bust cycles." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:46.424362Z", - "iopub.status.busy": "2024-07-11T15:27:46.424094Z", - "iopub.status.idle": "2024-07-11T15:27:46.426783Z", - "shell.execute_reply": "2024-07-11T15:27:46.426289Z" - } - }, - "outputs": [], - "source": [ - "# Make a consumer with serially correlated permanent income growth\n", - "UnempPrb = 0.05 # Unemployment probability\n", - "StateCount = 5 # Number of permanent income growth rates\n", - "Persistence = (\n", - " 0.5 # Probability of getting the same permanent income growth rate next period\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:46.428386Z", - "iopub.status.busy": "2024-07-11T15:27:46.428064Z", - "iopub.status.idle": "2024-07-11T15:27:46.431463Z", - "shell.execute_reply": "2024-07-11T15:27:46.430939Z" - } - }, - "outputs": [], - "source": [ - "IncomeDstnReg = DiscreteDistributionLabeled(\n", - " pmv=np.array([1 - UnempPrb, UnempPrb]),\n", - " atoms=np.array([[1.0, 1.0], [1.0, 0.0]]),\n", - " var_names=[\"PermShk\", \"TranShk\"],\n", - ")\n", - "IncomeDstn = StateCount * [\n", - " IncomeDstnReg,\n", - "] # Same simple income distribution in each state" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:46.433208Z", - "iopub.status.busy": "2024-07-11T15:27:46.432749Z", - "iopub.status.idle": "2024-07-11T15:27:46.435478Z", - "shell.execute_reply": "2024-07-11T15:27:46.434951Z" - } - }, - "outputs": [], - "source": [ - "# Make the state transition array for this type: Persistence probability of remaining in the same state, equiprobable otherwise\n", - "MrkvArray = Persistence * np.eye(StateCount) + (1.0 / StateCount) * (\n", - " 1.0 - Persistence\n", - ") * np.ones((StateCount, StateCount))" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:46.436956Z", - "iopub.status.busy": "2024-07-11T15:27:46.436724Z", - "iopub.status.idle": "2024-07-11T15:27:46.444107Z", - "shell.execute_reply": "2024-07-11T15:27:46.443535Z" - }, - "lines_to_next_cell": 2 - }, - "outputs": [], - "source": [ - "init_serial_growth = copy(init_indshk_markov)\n", - "init_serial_growth[\"MrkvArray\"] = [MrkvArray]\n", - "SerialGroExample = MarkovConsumerType(**init_serial_growth)\n", - "SerialGroExample.assign_parameters(MrkvArray=[MrkvArray])\n", - "SerialGroExample.assign_parameters(\n", - " Rfree=np.array(\n", - " np.array(StateCount * [1.03]),\n", - " ), # Same interest factor in each Markov state\n", - " PermGroFac=[\n", - " np.array([0.97, 0.99, 1.01, 1.03, 1.05]),\n", - " ], # Different permanent growth factor in each Markov state\n", - " LivPrb=[np.array(StateCount * [0.98])], # Same survival probability in all states\n", - " cycles=0,\n", - ")\n", - "SerialGroExample.IncShkDstn = [IncomeDstn]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 4. Serial Interest factor\n", - "\n", - "Finally, suppose that the consumer faces a interest factor serially correlated while his/her permanent income growth rate is constant." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:46.445698Z", - "iopub.status.busy": "2024-07-11T15:27:46.445437Z", - "iopub.status.idle": "2024-07-11T15:27:46.642321Z", - "shell.execute_reply": "2024-07-11T15:27:46.641785Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "The calc_limiting_values method must be run before the calc_stable_points method.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Solving a serially correlated growth consumer took 0.1337 seconds.\n", - "Consumption functions for each discrete state:\n" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Solve the serially correlated permanent growth shock problem and display the consumption functions\n", - "start_time = process_time()\n", - "SerialGroExample.solve()\n", - "end_time = process_time()\n", - "print(\n", - " \"Solving a serially correlated growth consumer took \"\n", - " + mystr(end_time - start_time)\n", - " + \" seconds.\",\n", - ")\n", - "print(\"Consumption functions for each discrete state:\")\n", - "plot_funcs(SerialGroExample.solution[0].cFunc, 0, 10)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:46.643965Z", - "iopub.status.busy": "2024-07-11T15:27:46.643712Z", - "iopub.status.idle": "2024-07-11T15:27:46.648979Z", - "shell.execute_reply": "2024-07-11T15:27:46.648525Z" - } - }, - "outputs": [], - "source": [ - "# Make a consumer with serially correlated interest factors\n", - "SerialRExample = deepcopy(SerialGroExample) # Same as the last problem...\n", - "SerialRExample.assign_parameters(\n", - " PermGroFac=[\n", - " np.array(StateCount * [1.01]),\n", - " ], # ...but now the permanent growth factor is constant...\n", - " Rfree=np.array([1.01, 1.02, 1.03, 1.04, 1.05]),\n", - ") # ...and the interest factor is what varies across states" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:27:46.650470Z", - "iopub.status.busy": "2024-07-11T15:27:46.650246Z", - "iopub.status.idle": "2024-07-11T15:27:46.822371Z", - "shell.execute_reply": "2024-07-11T15:27:46.821851Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "The calc_limiting_values method must be run before the calc_stable_points method.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Solving a serially correlated interest consumer took 0.1082 seconds.\n", - "Consumption functions for each discrete state:\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Solve the serially correlated interest rate problem and display the consumption functions\n", - "start_time = process_time()\n", - "SerialRExample.solve()\n", - "end_time = process_time()\n", - "print(\n", - " \"Solving a serially correlated interest consumer took \"\n", - " + mystr(end_time - start_time)\n", - " + \" seconds.\",\n", - ")\n", - "print(\"Consumption functions for each discrete state:\")\n", - "plot_funcs(SerialRExample.solution[0].cFunc, 0, 10)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "jupytext": { - "cell_metadata_filter": "-all", - "encoding": "# -*- coding: utf-8 -*-", - "formats": "ipynb,py:percent" - }, - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.9" - }, - "latex_envs": { - "LaTeX_envs_menu_present": true, - "autoclose": false, - "autocomplete": true, - "bibliofile": "biblio.bib", - "cite_by": "apalike", - "current_citInitial": 1, - "eqLabelWithNumbers": true, - "eqNumInitial": 1, - "hotkeys": { - "equation": "Ctrl-E", - "itemize": "Ctrl-I" - }, - "labels_anchors": false, - "latex_user_defs": false, - "report_style_numbering": false, - "user_envs_cfg": false - } + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:31.723046Z", + "iopub.status.busy": "2024-07-11T15:27:31.722813Z", + "iopub.status.idle": "2024-07-11T15:27:32.481049Z", + "shell.execute_reply": "2024-07-11T15:27:32.480477Z" + } + }, + "outputs": [], + "source": [ + "from copy import copy, deepcopy\n", + "from time import process_time\n", + "\n", + "import numpy as np\n", + "\n", + "from HARK.ConsumptionSaving.ConsMarkovModel import (\n", + " MarkovConsumerType,\n", + " init_indshk_markov,\n", + ")\n", + "from HARK.distributions import DiscreteDistributionLabeled\n", + "from HARK.utilities import plot_funcs\n", + "\n", + "mystr = lambda number: f\"{number:.4f}\"\n", + "do_simulation = True" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This module defines consumption-saving models in which an agent has CRRA utility over consumption, geometrically discounts future utility flows and expects to experience transitory and permanent shocks to his/her income. Moreover, in any given period s/he is in exactly one of several discrete states. This state evolves from period to period according to a Markov process." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In this model, an agent is very similar to the one in the \"idiosyncratic shocks\" model of $\\texttt{ConsPrefShockModel}$, except that here, an agent's income distribution ($F_{\\psi t},F_{\\theta t}$), permanent income growth rate $\\Gamma_{t+1}$ and interest factor $R$ are all functions of the Markov state and might vary across states.\n", + "\n", + "The agent's problem can be written in Bellman form as:\n", + "\n", + "\\begin{eqnarray*}\n", + "v_t(m_t,s_t) &=& \\max_{c_t} u(c_t) + \\beta (1-\\mathsf{D}_{t+1}) \\mathbb{E} [v_{t+1}(m_{t+1}, s_{t+1}) ], \\\\\n", + "a_t &=& m_t - c_t, \\\\\n", + "a_t &\\geq& \\underline{a}, \\\\\n", + "m_{t+1} &=& \\frac{R(s_{t+1})}{\\Gamma(s_{t+1})\\psi_{t+1}} a_t + \\theta_{t+1}, \\\\\n", + "\\theta_{t} \\sim F_{\\theta t}(s_t), &\\qquad& \\psi_{t} \\sim F_{\\psi t}(s_t), \\mathbb{E} [F_{\\psi t}(s_t)] = 1, \\\\\n", + "Prob[s_{t+1}=j| s_t=i] &=& \\triangle_{ij}, \\\\\n", + "u(c) &=& \\frac{c^{1-\\rho}}{1-\\rho}\n", + "\\end{eqnarray*}\n", + "\n", + "The Markov matrix $\\triangle$ is giving transition probabilities from current state $i$ to future state $j$." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The one period problem for this model is solved by the function $\\texttt{solveConsMarkov}$, which creates an instance of the class $\\texttt{ConsMarkovSolver}$. The class $\\texttt{MarkovConsumerType}$ extends $\\texttt{IndShockConsumerType}$ to represents agents in this model.\n", + "\n", + "To construct an instance of this class, the same attributes as for $\\texttt{IndShockConsumerType}$ are required, except for one as described below:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Additional parameter value to solve an instance of MarkovConsumerType\n", + "\n", + "| Param | Description | Code | Value | Constructed |\n", + "| :---: | --- | --- | --- | :---: |\n", + "| $\\triangle$ |Discrete state transition probability matrix | $\\texttt{MrkvArray}$ | |$\\surd$ |\n", + "\n", + "The attribute $\\texttt{MrkvArray}$ is a $\\texttt{numpy.array}$ of size ($N_s$, $N_s$) corresponding to the number of discrete states.\n", + "\n", + "Note that $\\texttt{MrkvArray}$ is am element of $\\texttt{time_inv}$, so that the same transition probabilities are used for each period. However, it can be moved to $\\texttt{time_vary}$ and specified as a list of $\\texttt{array}$s instead.\n", + "\n", + "The attributes $\\texttt{Rfree}$, $\\texttt{PermGroFac}$ and $\\texttt{IncomeDstn}$ should be specified as arrays or lists with $N_s$ elements for each period." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Solve MarkovConsumerType\n", + "\n", + "When the $\\texttt{MarkovConsumerType}$ method of a $\\texttt{MarkovConsumerType}$ is invoked, the $\\texttt{solution}$ attribute is populated with a list of $\\texttt{ConsumerSolution}$ objects, which each have the same attributes as the \"idiosyncratic shocks\" model. However, each attribute is now a list (or array) whose elements are *state-conditional* values of that object.\n", + "\n", + "For example, in a model with 4 discrete states, each the $\\texttt{cFunc}$ attribute of each element of $\\texttt{solution}$ is a length-4 list whose elements are state-conditional consumption functions. That is, $\\texttt{cFunc[2]}$ is the consumption function when $s_t = 2$.\n", + "\n", + "$\\texttt{ConsMarkovModel}$ is compatible with cubic spline interpolation for the consumption functions, so $\\texttt{CubicBool = True}$ will not generate an exception. The problem is solved using the [method of endogenous gridpoints](https://www.econ2.jhu.edu/people/ccarroll/EndogenousGridpoints.pdf), which is moderately more complicated than in the basic $\\texttt{ConsPrefShockModel}$." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:32.483030Z", + "iopub.status.busy": "2024-07-11T15:27:32.482767Z", + "iopub.status.idle": "2024-07-11T15:27:32.486741Z", + "shell.execute_reply": "2024-07-11T15:27:32.486279Z" + } + }, + "outputs": [], + "source": [ + "# Define the Markov transition matrix for serially correlated unemployment\n", + "unemp_length = 5 # Averange length of unemployment spell\n", + "urate_good = 0.05 # Unemployment rate when economy is in good state\n", + "urate_bad = 0.12 # Unemployment rate when economy is in bad state\n", + "bust_prob = 0.01 # Probability of economy switching from good to bad\n", + "recession_length = 20 # Averange length of bad state\n", + "p_reemploy = 1.0 / unemp_length\n", + "p_unemploy_good = p_reemploy * urate_good / (1 - urate_good)\n", + "p_unemploy_bad = p_reemploy * urate_bad / (1 - urate_bad)\n", + "boom_prob = 1.0 / recession_length\n", + "MrkvArray = np.array(\n", + " [\n", + " [\n", + " (1 - p_unemploy_good) * (1 - bust_prob),\n", + " p_unemploy_good * (1 - bust_prob),\n", + " (1 - p_unemploy_good) * bust_prob,\n", + " p_unemploy_good * bust_prob,\n", + " ],\n", + " [\n", + " p_reemploy * (1 - bust_prob),\n", + " (1 - p_reemploy) * (1 - bust_prob),\n", + " p_reemploy * bust_prob,\n", + " (1 - p_reemploy) * bust_prob,\n", + " ],\n", + " [\n", + " (1 - p_unemploy_bad) * boom_prob,\n", + " p_unemploy_bad * boom_prob,\n", + " (1 - p_unemploy_bad) * (1 - boom_prob),\n", + " p_unemploy_bad * (1 - boom_prob),\n", + " ],\n", + " [\n", + " p_reemploy * boom_prob,\n", + " (1 - p_reemploy) * boom_prob,\n", + " p_reemploy * (1 - boom_prob),\n", + " (1 - p_reemploy) * (1 - boom_prob),\n", + " ],\n", + " ],\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Several variant examples of the model will be illustrated below such that:\n", + "1. Model with serially correlated unemployment\n", + "2. Model with period of \"unemployment immunity\"\n", + "3. Model with serially correlated permanent income growth\n", + "4. Model with serially correlated interest factor\n", + "\n", + "### 1. Serial Unemployment\n", + "\n", + "Let's create a consumer similar to the one in \"idiosyncratic shock\" model but who faces serially correlated unemployment during boom or bust cycles of the economy." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:32.488109Z", + "iopub.status.busy": "2024-07-11T15:27:32.487941Z", + "iopub.status.idle": "2024-07-11T15:27:32.494743Z", + "shell.execute_reply": "2024-07-11T15:27:32.494254Z" + } + }, + "outputs": [], + "source": [ + "# Make a consumer with serially correlated unemployment, subject to boom and bust cycles\n", + "init_serial_unemployment = copy(init_indshk_markov)\n", + "init_serial_unemployment[\"MrkvArray\"] = [MrkvArray]\n", + "init_serial_unemployment[\"UnempPrb\"] = 0.0 # to make income distribution when employed\n", + "init_serial_unemployment[\"global_markov\"] = False\n", + "SerialUnemploymentExample = MarkovConsumerType(**init_serial_unemployment)\n", + "SerialUnemploymentExample.cycles = 0\n", + "SerialUnemploymentExample.vFuncBool = False # for easy toggling here" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:32.496369Z", + "iopub.status.busy": "2024-07-11T15:27:32.496131Z", + "iopub.status.idle": "2024-07-11T15:27:32.500052Z", + "shell.execute_reply": "2024-07-11T15:27:32.499597Z" + } + }, + "outputs": [], + "source": [ + "# Replace the default (lognormal) income distribution with a custom one\n", + "employed_income_dist = DiscreteDistributionLabeled(\n", + " pmv=np.ones(1),\n", + " atoms=np.array([[1.0], [1.0]]),\n", + " var_names=[\"PermShk\", \"TranShk\"],\n", + ") # Definitely get income\n", + "unemployed_income_dist = DiscreteDistributionLabeled(\n", + " pmv=np.ones(1),\n", + " atoms=np.array([[1.0], [0.0]]),\n", + " var_names=[\"PermShk\", \"TranShk\"],\n", + ") # Definitely don't\n", + "SerialUnemploymentExample.IncShkDstn = [\n", + " [\n", + " employed_income_dist,\n", + " unemployed_income_dist,\n", + " employed_income_dist,\n", + " unemployed_income_dist,\n", + " ],\n", + "]\n", + "SerialUnemploymentExample.assign_parameters(MrkvArray=[MrkvArray])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note that $\\texttt{MarkovConsumerType}$ currently has no method to automatically construct a valid IncomeDstn - $\\texttt{IncomeDstn}$ is manually constructed in each case. Writing a method to supersede $\\texttt{IndShockConsumerType.update\\_income_process}$ for the “Markov model” would be a welcome contribution!" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:32.501627Z", + "iopub.status.busy": "2024-07-11T15:27:32.501247Z", + "iopub.status.idle": "2024-07-11T15:27:32.503891Z", + "shell.execute_reply": "2024-07-11T15:27:32.503445Z" + } + }, + "outputs": [], + "source": [ + "# Interest factor, permanent growth rates, and survival probabilities are constant arrays\n", + "SerialUnemploymentExample.assign_parameters(Rfree=np.array(1.03 * np.ones(4)))\n", + "SerialUnemploymentExample.PermGroFac = [1.0 * np.ones(4)]\n", + "SerialUnemploymentExample.LivPrb = [0.98 * np.ones(4)]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:32.505321Z", + "iopub.status.busy": "2024-07-11T15:27:32.505080Z", + "iopub.status.idle": "2024-07-11T15:27:32.951132Z", + "shell.execute_reply": "2024-07-11T15:27:32.950636Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "The calc_limiting_values method must be run before the calc_stable_points method.\n" + ] }, - "nbformat": 4, - "nbformat_minor": 4 + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Solving a Markov consumer with serially correlated unemployment took 0.1601 seconds.\n", + "Consumption functions for each discrete state:\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Solve the serial unemployment consumer's problem and display solution\n", + "start_time = process_time()\n", + "SerialUnemploymentExample.solve()\n", + "end_time = process_time()\n", + "print(\n", + " \"Solving a Markov consumer with serially correlated unemployment took \"\n", + " + mystr(end_time - start_time)\n", + " + \" seconds.\",\n", + ")\n", + "print(\"Consumption functions for each discrete state:\")\n", + "plot_funcs(SerialUnemploymentExample.solution[0].cFunc, 0, 50)\n", + "if SerialUnemploymentExample.vFuncBool:\n", + " print(\"Value functions for each discrete state:\")\n", + " plot_funcs(SerialUnemploymentExample.solution[0].vFunc, 5, 50)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:32.952916Z", + "iopub.status.busy": "2024-07-11T15:27:32.952560Z", + "iopub.status.idle": "2024-07-11T15:27:46.174749Z", + "shell.execute_reply": "2024-07-11T15:27:46.174185Z" + } + }, + "outputs": [], + "source": [ + "# Simulate some data; results stored in cHist, mNrm_hist, cNrm_hist, and Mrkv_hist\n", + "if do_simulation:\n", + " SerialUnemploymentExample.T_sim = 120\n", + " SerialUnemploymentExample.MrkvPrbsInit = [0.25, 0.25, 0.25, 0.25]\n", + " SerialUnemploymentExample.track_vars = [\"mNrm\", \"cNrm\"]\n", + " SerialUnemploymentExample.make_shock_history() # This is optional\n", + " SerialUnemploymentExample.initialize_sim()\n", + " SerialUnemploymentExample.simulate()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2. Unemployment immunity for a fixed period\n", + "\n", + "Let's create a consumer similar to the one in \"idiosyncratic shock\" model but who occasionally gets \"unemployment immunity\" for a fixed period in an economy subject to boom and bust cycles." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:46.176759Z", + "iopub.status.busy": "2024-07-11T15:27:46.176483Z", + "iopub.status.idle": "2024-07-11T15:27:46.179195Z", + "shell.execute_reply": "2024-07-11T15:27:46.178722Z" + } + }, + "outputs": [], + "source": [ + "# Make a consumer who occasionally gets \"unemployment immunity\" for a fixed period\n", + "UnempPrb = 0.05 # Probability of becoming unemployed each period\n", + "ImmunityPrb = 0.01 # Probability of becoming \"immune\" to unemployment\n", + "ImmunityT = 6 # Number of periods of immunity" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:46.180645Z", + "iopub.status.busy": "2024-07-11T15:27:46.180431Z", + "iopub.status.idle": "2024-07-11T15:27:46.184495Z", + "shell.execute_reply": "2024-07-11T15:27:46.184006Z" + } + }, + "outputs": [], + "source": [ + "StateCount = ImmunityT + 1 # Total number of Markov states\n", + "IncomeDstnReg = DiscreteDistributionLabeled(\n", + " pmv=np.array([1 - UnempPrb, UnempPrb]),\n", + " atoms=np.array([[1.0, 1.0], [1.0 / (1.0 - UnempPrb), 0.0]]),\n", + " var_names=[\"PermShk\", \"TranShk\"],\n", + ") # Ordinary income distribution\n", + "IncomeDstnImm = DiscreteDistributionLabeled(\n", + " pmv=np.array([1.0]),\n", + " atoms=np.array([[1.0], [1.0]]),\n", + " var_names=[\"PermShk\", \"TranShk\"],\n", + ")\n", + "IncomeDstn = [IncomeDstnReg] + ImmunityT * [\n", + " IncomeDstnImm,\n", + "] # Income distribution for each Markov state, in a list" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:46.185937Z", + "iopub.status.busy": "2024-07-11T15:27:46.185707Z", + "iopub.status.idle": "2024-07-11T15:27:46.188578Z", + "shell.execute_reply": "2024-07-11T15:27:46.188134Z" + } + }, + "outputs": [], + "source": [ + "# Make the Markov transition array. MrkvArray[i,j] is the probability of transitioning\n", + "# to state j in period t+1 from state i in period t.\n", + "MrkvArray = np.zeros((StateCount, StateCount))\n", + "MrkvArray[0, 0] = (\n", + " 1.0 - ImmunityPrb\n", + ") # Probability of not becoming immune in ordinary state: stay in ordinary state\n", + "MrkvArray[0, ImmunityT] = (\n", + " ImmunityPrb # Probability of becoming immune in ordinary state: begin immunity periods\n", + ")\n", + "for j in range(ImmunityT):\n", + " MrkvArray[j + 1, j] = (\n", + " 1.0 # When immune, have 100% chance of transition to state with one fewer immunity periods remaining\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:46.190198Z", + "iopub.status.busy": "2024-07-11T15:27:46.189723Z", + "iopub.status.idle": "2024-07-11T15:27:46.196479Z", + "shell.execute_reply": "2024-07-11T15:27:46.196022Z" + } + }, + "outputs": [], + "source": [ + "init_unemployment_immunity = copy(init_indshk_markov)\n", + "init_unemployment_immunity[\"MrkvArray\"] = [MrkvArray]\n", + "ImmunityExample = MarkovConsumerType(**init_unemployment_immunity)\n", + "ImmunityExample.assign_parameters(MrkvArray=[MrkvArray])\n", + "ImmunityExample.assign_parameters(\n", + " Rfree=np.array(np.array(StateCount * [1.03])), # Interest factor same in all states\n", + " PermGroFac=[\n", + " np.array(StateCount * [1.01]),\n", + " ], # Permanent growth factor same in all states\n", + " LivPrb=[np.array(StateCount * [0.98])], # Same survival probability in all states\n", + " BoroCnstArt=None, # No artificial borrowing constraint\n", + " cycles=0,\n", + ") # Infinite horizon\n", + "ImmunityExample.IncShkDstn = [IncomeDstn]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:46.197916Z", + "iopub.status.busy": "2024-07-11T15:27:46.197696Z", + "iopub.status.idle": "2024-07-11T15:27:46.422573Z", + "shell.execute_reply": "2024-07-11T15:27:46.422017Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "The calc_limiting_values method must be run before the calc_stable_points method.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Solving an \"unemployment immunity\" consumer took 0.1454 seconds.\n", + "Consumption functions for each discrete state:\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/mnt/c/Users/alujan/GitHub/alanlujan91/HARK/HARK/interpolation.py:2188: RuntimeWarning: All-NaN slice encountered\n", + " y = self.compare(fx, axis=1)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Solve the unemployment immunity problem and display the consumption functions\n", + "start_time = process_time()\n", + "ImmunityExample.solve()\n", + "end_time = process_time()\n", + "print(\n", + " 'Solving an \"unemployment immunity\" consumer took '\n", + " + mystr(end_time - start_time)\n", + " + \" seconds.\",\n", + ")\n", + "print(\"Consumption functions for each discrete state:\")\n", + "mNrmMin = np.min([ImmunityExample.solution[0].mNrmMin[j] for j in range(StateCount)])\n", + "plot_funcs(ImmunityExample.solution[0].cFunc, mNrmMin, 10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3. Serial permanent income growth\n", + "\n", + "Let's create a consumer similar to the one in \"idiosyncratic shock\" model but who faces serially correlated permanent income growth in an economy subject to boom and bust cycles." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:46.424362Z", + "iopub.status.busy": "2024-07-11T15:27:46.424094Z", + "iopub.status.idle": "2024-07-11T15:27:46.426783Z", + "shell.execute_reply": "2024-07-11T15:27:46.426289Z" + } + }, + "outputs": [], + "source": [ + "# Make a consumer with serially correlated permanent income growth\n", + "UnempPrb = 0.05 # Unemployment probability\n", + "StateCount = 5 # Number of permanent income growth rates\n", + "Persistence = (\n", + " 0.5 # Probability of getting the same permanent income growth rate next period\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:46.428386Z", + "iopub.status.busy": "2024-07-11T15:27:46.428064Z", + "iopub.status.idle": "2024-07-11T15:27:46.431463Z", + "shell.execute_reply": "2024-07-11T15:27:46.430939Z" + } + }, + "outputs": [], + "source": [ + "IncomeDstnReg = DiscreteDistributionLabeled(\n", + " pmv=np.array([1 - UnempPrb, UnempPrb]),\n", + " atoms=np.array([[1.0, 1.0], [1.0, 0.0]]),\n", + " var_names=[\"PermShk\", \"TranShk\"],\n", + ")\n", + "IncomeDstn = StateCount * [\n", + " IncomeDstnReg,\n", + "] # Same simple income distribution in each state" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:46.433208Z", + "iopub.status.busy": "2024-07-11T15:27:46.432749Z", + "iopub.status.idle": "2024-07-11T15:27:46.435478Z", + "shell.execute_reply": "2024-07-11T15:27:46.434951Z" + } + }, + "outputs": [], + "source": [ + "# Make the state transition array for this type: Persistence probability of remaining in the same state, equiprobable otherwise\n", + "MrkvArray = Persistence * np.eye(StateCount) + (1.0 / StateCount) * (\n", + " 1.0 - Persistence\n", + ") * np.ones((StateCount, StateCount))" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:46.436956Z", + "iopub.status.busy": "2024-07-11T15:27:46.436724Z", + "iopub.status.idle": "2024-07-11T15:27:46.444107Z", + "shell.execute_reply": "2024-07-11T15:27:46.443535Z" + }, + "lines_to_next_cell": 2 + }, + "outputs": [], + "source": [ + "init_serial_growth = copy(init_indshk_markov)\n", + "init_serial_growth[\"MrkvArray\"] = [MrkvArray]\n", + "SerialGroExample = MarkovConsumerType(**init_serial_growth)\n", + "SerialGroExample.assign_parameters(MrkvArray=[MrkvArray])\n", + "SerialGroExample.assign_parameters(\n", + " Rfree=np.array(\n", + " np.array(StateCount * [1.03]),\n", + " ), # Same interest factor in each Markov state\n", + " PermGroFac=[\n", + " np.array([0.97, 0.99, 1.01, 1.03, 1.05]),\n", + " ], # Different permanent growth factor in each Markov state\n", + " LivPrb=[np.array(StateCount * [0.98])], # Same survival probability in all states\n", + " cycles=0,\n", + ")\n", + "SerialGroExample.IncShkDstn = [IncomeDstn]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4. Serial Interest factor\n", + "\n", + "Finally, suppose that the consumer faces a interest factor serially correlated while his/her permanent income growth rate is constant." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:46.445698Z", + "iopub.status.busy": "2024-07-11T15:27:46.445437Z", + "iopub.status.idle": "2024-07-11T15:27:46.642321Z", + "shell.execute_reply": "2024-07-11T15:27:46.641785Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "The calc_limiting_values method must be run before the calc_stable_points method.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Solving a serially correlated growth consumer took 0.1337 seconds.\n", + "Consumption functions for each discrete state:\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Solve the serially correlated permanent growth shock problem and display the consumption functions\n", + "start_time = process_time()\n", + "SerialGroExample.solve()\n", + "end_time = process_time()\n", + "print(\n", + " \"Solving a serially correlated growth consumer took \"\n", + " + mystr(end_time - start_time)\n", + " + \" seconds.\",\n", + ")\n", + "print(\"Consumption functions for each discrete state:\")\n", + "plot_funcs(SerialGroExample.solution[0].cFunc, 0, 10)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:46.643965Z", + "iopub.status.busy": "2024-07-11T15:27:46.643712Z", + "iopub.status.idle": "2024-07-11T15:27:46.648979Z", + "shell.execute_reply": "2024-07-11T15:27:46.648525Z" + } + }, + "outputs": [], + "source": [ + "# Make a consumer with serially correlated interest factors\n", + "SerialRExample = deepcopy(SerialGroExample) # Same as the last problem...\n", + "SerialRExample.assign_parameters(\n", + " PermGroFac=[\n", + " np.array(StateCount * [1.01]),\n", + " ], # ...but now the permanent growth factor is constant...\n", + " Rfree=np.array([1.01, 1.02, 1.03, 1.04, 1.05]),\n", + ") # ...and the interest factor is what varies across states" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:27:46.650470Z", + "iopub.status.busy": "2024-07-11T15:27:46.650246Z", + "iopub.status.idle": "2024-07-11T15:27:46.822371Z", + "shell.execute_reply": "2024-07-11T15:27:46.821851Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "The calc_limiting_values method must be run before the calc_stable_points method.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Solving a serially correlated interest consumer took 0.1082 seconds.\n", + "Consumption functions for each discrete state:\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Solve the serially correlated interest rate problem and display the consumption functions\n", + "start_time = process_time()\n", + "SerialRExample.solve()\n", + "end_time = process_time()\n", + "print(\n", + " \"Solving a serially correlated interest consumer took \"\n", + " + mystr(end_time - start_time)\n", + " + \" seconds.\",\n", + ")\n", + "print(\"Consumption functions for each discrete state:\")\n", + "plot_funcs(SerialRExample.solution[0].cFunc, 0, 10)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "jupytext": { + "cell_metadata_filter": "-all", + "encoding": "# -*- coding: utf-8 -*-", + "formats": "ipynb,py:percent" + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + }, + "latex_envs": { + "LaTeX_envs_menu_present": true, + "autoclose": false, + "autocomplete": true, + "bibliofile": "biblio.bib", + "cite_by": "apalike", + "current_citInitial": 1, + "eqLabelWithNumbers": true, + "eqNumInitial": 1, + "hotkeys": { + "equation": "Ctrl-E", + "itemize": "Ctrl-I" + }, + "labels_anchors": false, + "latex_user_defs": false, + "report_style_numbering": false, + "user_envs_cfg": false + } + }, + "nbformat": 4, + "nbformat_minor": 4 } diff --git a/examples/ConsumptionSaving/example_TractableBufferStockModel.ipynb b/examples/ConsumptionSaving/example_TractableBufferStockModel.ipynb index ec3187ac6..7e446ebea 100644 --- a/examples/ConsumptionSaving/example_TractableBufferStockModel.ipynb +++ b/examples/ConsumptionSaving/example_TractableBufferStockModel.ipynb @@ -1,416 +1,416 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Example TractableBufferStockModel" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:37.397658Z", - "iopub.status.busy": "2024-07-11T15:28:37.397488Z", - "iopub.status.idle": "2024-07-11T15:28:38.138893Z", - "shell.execute_reply": "2024-07-11T15:28:38.138246Z" - } - }, - "outputs": [], - "source": [ - "# An alternative, much longer way to solve the TBS model\n", - "from time import process_time # timing utility\n", - "\n", - "import numpy as np # numeric Python\n", - "\n", - "from HARK.ConsumptionSaving.ConsMarkovModel import (\n", - " MarkovConsumerType,\n", - ")\n", - "from HARK.ConsumptionSaving.TractableBufferStockModel import TractableConsumerType\n", - "from HARK.distributions import DiscreteDistributionLabeled\n", - "from HARK.utilities import plot_funcs # basic plotting tools\n", - "\n", - "do_simulation = True" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:38.140862Z", - "iopub.status.busy": "2024-07-11T15:28:38.140575Z", - "iopub.status.idle": "2024-07-11T15:28:38.143289Z", - "shell.execute_reply": "2024-07-11T15:28:38.142819Z" - } - }, - "outputs": [], - "source": [ - "# Define the model primitives\n", - "base_primitives = {\n", - " \"UnempPrb\": 0.00625, # Probability of becoming unemployed\n", - " \"DiscFac\": 0.975, # Intertemporal discount factor\n", - " \"Rfree\": 1.01, # Risk-free interest factor on assets\n", - " \"PermGroFac\": 1.0025, # Permanent income growth factor (uncompensated)\n", - " \"CRRA\": 1.0,\n", - "} # Coefficient of relative risk aversion" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:38.144857Z", - "iopub.status.busy": "2024-07-11T15:28:38.144604Z", - "iopub.status.idle": "2024-07-11T15:28:38.147174Z", - "shell.execute_reply": "2024-07-11T15:28:38.146723Z" - } - }, - "outputs": [], - "source": [ - "# Define a dictionary to be used in case of simulation\n", - "simulation_values = {\n", - " \"aLvlInitMean\": 0.0, # Mean of log initial assets for new agents\n", - " \"aLvlInitStd\": 1.0, # Stdev of log initial assets for new agents\n", - " \"AgentCount\": 10000, # Number of agents to simulate\n", - " \"T_sim\": 120, # Number of periods to simulate\n", - " \"T_cycle\": 1,\n", - "} # Number of periods in the cycle" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:38.148655Z", - "iopub.status.busy": "2024-07-11T15:28:38.148424Z", - "iopub.status.idle": "2024-07-11T15:28:38.153501Z", - "shell.execute_reply": "2024-07-11T15:28:38.153035Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Solving a tractable consumption-savings model took 0.0018313999999999275 seconds.\n" - ] - } - ], - "source": [ - "# Make and solve a tractable consumer type\n", - "ExampleType = TractableConsumerType()\n", - "ExampleType.assign_parameters(**base_primitives)\n", - "t_start = process_time()\n", - "ExampleType.solve()\n", - "t_end = process_time()\n", - "print(\n", - " \"Solving a tractable consumption-savings model took \"\n", - " + str(t_end - t_start)\n", - " + \" seconds.\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:38.155159Z", - "iopub.status.busy": "2024-07-11T15:28:38.154710Z", - "iopub.status.idle": "2024-07-11T15:28:38.452503Z", - "shell.execute_reply": "2024-07-11T15:28:38.451910Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Plot the consumption function and whatnot\n", - "m_upper = 1.5 * ExampleType.mTarg\n", - "conFunc_PF = lambda m: ExampleType.h * ExampleType.PFMPC + ExampleType.PFMPC * m\n", - "# plot_funcs([ExampleType.solution[0].cFunc,ExampleType.mSSfunc,ExampleType.cSSfunc],0,m_upper)\n", - "plot_funcs([ExampleType.solution[0].cFunc, ExampleType.solution[0].cFunc_U], 0, m_upper)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:38.454367Z", - "iopub.status.busy": "2024-07-11T15:28:38.454005Z", - "iopub.status.idle": "2024-07-11T15:28:38.615600Z", - "shell.execute_reply": "2024-07-11T15:28:38.615039Z" - }, - "lines_to_next_cell": 2 - }, - "outputs": [], - "source": [ - "if do_simulation:\n", - " ExampleType.assign_parameters(\n", - " **simulation_values,\n", - " ) # Set attributes needed for simulation\n", - " ExampleType.track_vars = [\"mLvl\"]\n", - " ExampleType.make_shock_history()\n", - " ExampleType.initialize_sim()\n", - " ExampleType.simulate()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:38.617489Z", - "iopub.status.busy": "2024-07-11T15:28:38.617241Z", - "iopub.status.idle": "2024-07-11T15:28:38.624528Z", - "shell.execute_reply": "2024-07-11T15:28:38.624049Z" - } - }, - "outputs": [], - "source": [ - "# Now solve the same model using backward induction rather than the analytic method of TBS.\n", - "# The TBS model is equivalent to a Markov model with two states, one of them absorbing (permanent unemployment).\n", - "MrkvArray = np.array(\n", - " [[1.0 - base_primitives[\"UnempPrb\"], base_primitives[\"UnempPrb\"]], [0.0, 1.0]],\n", - ") # Define the two state, absorbing unemployment Markov array\n", - "init_consumer_objects = {\n", - " \"CRRA\": base_primitives[\"CRRA\"],\n", - " \"Rfree\": np.array(\n", - " 2 * [base_primitives[\"Rfree\"]],\n", - " ), # Interest factor (same in both states)\n", - " \"PermGroFac\": [\n", - " np.array(\n", - " 2 * [base_primitives[\"PermGroFac\"] / (1.0 - base_primitives[\"UnempPrb\"])],\n", - " ),\n", - " ], # Unemployment-compensated permanent growth factor\n", - " \"BoroCnstArt\": None, # Artificial borrowing constraint\n", - " \"PermShkStd\": [0.0], # Permanent shock standard deviation\n", - " \"PermShkCount\": 1, # Number of shocks in discrete permanent shock distribution\n", - " \"TranShkStd\": [0.0], # Transitory shock standard deviation\n", - " \"TranShkCount\": 1, # Number of shocks in discrete permanent shock distribution\n", - " \"T_cycle\": 1, # Number of periods in cycle\n", - " \"UnempPrb\": 0.0, # Unemployment probability (not used, as the unemployment here is *permanent*, not transitory)\n", - " \"UnempPrbRet\": 0.0, # Unemployment probability when retired (irrelevant here)\n", - " \"T_retire\": 0, # Age at retirement (turned off)\n", - " \"IncUnemp\": 0.0, # Income when unemployed (irrelevant)\n", - " \"IncUnempRet\": 0.0, # Income when unemployed and retired (irrelevant)\n", - " \"aXtraMin\": 0.001, # Minimum value of assets above minimum in grid\n", - " \"aXtraMax\": ExampleType.mUpperBnd, # Maximum value of assets above minimum in grid\n", - " \"aXtraCount\": 48, # Number of points in assets grid\n", - " \"aXtraExtra\": None, # Additional points to include in assets grid\n", - " \"aXtraNestFac\": 3, # Degree of exponential nesting when constructing assets grid\n", - " \"LivPrb\": [np.array([1.0, 1.0])], # Survival probability\n", - " \"DiscFac\": base_primitives[\"DiscFac\"], # Intertemporal discount factor\n", - " \"AgentCount\": 1, # Number of agents in a simulation (irrelevant)\n", - " \"tax_rate\": 0.0, # Tax rate on labor income (irrelevant)\n", - " \"vFuncBool\": False, # Whether to calculate the value function\n", - " \"CubicBool\": True, # Whether to use cubic splines (False --> linear splines)\n", - " \"MrkvArray\": [MrkvArray], # State transition probabilities\n", - "}\n", - "MarkovType = MarkovConsumerType(**init_consumer_objects) # Make a basic consumer type" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:38.625993Z", - "iopub.status.busy": "2024-07-11T15:28:38.625752Z", - "iopub.status.idle": "2024-07-11T15:28:38.629449Z", - "shell.execute_reply": "2024-07-11T15:28:38.628984Z" - } - }, - "outputs": [], - "source": [ - "employed_income_dist = DiscreteDistributionLabeled(\n", - " pmv=np.ones(1),\n", - " atoms=np.array([[1.0], [1.0]]),\n", - " var_names=[\"PermShk\", \"TranShk\"],\n", - ") # Income distribution when employed\n", - "unemployed_income_dist = DiscreteDistributionLabeled(\n", - " pmv=np.ones(1),\n", - " atoms=np.array([[1.0], [0.0]]),\n", - " var_names=[\"PermShk\", \"TranShk\"],\n", - ") # Income distribution when permanently unemployed" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:38.630942Z", - "iopub.status.busy": "2024-07-11T15:28:38.630695Z", - "iopub.status.idle": "2024-07-11T15:28:38.633030Z", - "shell.execute_reply": "2024-07-11T15:28:38.632580Z" - } - }, - "outputs": [], - "source": [ - "MarkovType.IncShkDstn = [\n", - " [employed_income_dist, unemployed_income_dist],\n", - "] # set the income distribution in each state\n", - "MarkovType.cycles = 0" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:38.634478Z", - "iopub.status.busy": "2024-07-11T15:28:38.634249Z", - "iopub.status.idle": "2024-07-11T15:28:38.764369Z", - "shell.execute_reply": "2024-07-11T15:28:38.763860Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "The calc_limiting_values method must be run before the calc_stable_points method.\n" - ] - } - ], - "source": [ - "# Solve the \"Markov TBS\" model\n", - "t_start = process_time()\n", - "MarkovType.solve()\n", - "t_end = process_time()\n", - "MarkovType.unpack(\"cFunc\")" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:38.765970Z", - "iopub.status.busy": "2024-07-11T15:28:38.765719Z", - "iopub.status.idle": "2024-07-11T15:28:38.882997Z", - "shell.execute_reply": "2024-07-11T15:28:38.882470Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Solving the same model \"the long way\" took 0.12803889999999996 seconds.\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Difference between the (employed) consumption functions:\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "print(\n", - " 'Solving the same model \"the long way\" took ' + str(t_end - t_start) + \" seconds.\",\n", - ")\n", - "# plot_funcs([ExampleType.solution[0].cFunc,ExampleType.solution[0].cFunc_U],0,m_upper)\n", - "plot_funcs(MarkovType.cFunc[0], 0, m_upper)\n", - "diffFunc = lambda m: ExampleType.solution[0].cFunc(m) - MarkovType.cFunc[0][0](m)\n", - "print(\"Difference between the (employed) consumption functions:\")\n", - "plot_funcs(diffFunc, 0, m_upper)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "jupytext": { - "cell_metadata_filter": "-all", - "formats": "ipynb,py:percent" - }, - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.9" - }, - "latex_envs": { - "LaTeX_envs_menu_present": true, - "autoclose": false, - "autocomplete": true, - "bibliofile": "biblio.bib", - "cite_by": "apalike", - "current_citInitial": 1, - "eqLabelWithNumbers": true, - "eqNumInitial": 1, - "hotkeys": { - "equation": "Ctrl-E", - "itemize": "Ctrl-I" - }, - "labels_anchors": false, - "latex_user_defs": false, - "report_style_numbering": false, - "user_envs_cfg": false - } + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Example TractableBufferStockModel" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:37.397658Z", + "iopub.status.busy": "2024-07-11T15:28:37.397488Z", + "iopub.status.idle": "2024-07-11T15:28:38.138893Z", + "shell.execute_reply": "2024-07-11T15:28:38.138246Z" + } + }, + "outputs": [], + "source": [ + "# An alternative, much longer way to solve the TBS model\n", + "from time import process_time # timing utility\n", + "\n", + "import numpy as np # numeric Python\n", + "\n", + "from HARK.ConsumptionSaving.ConsMarkovModel import (\n", + " MarkovConsumerType,\n", + ")\n", + "from HARK.ConsumptionSaving.TractableBufferStockModel import TractableConsumerType\n", + "from HARK.distributions import DiscreteDistributionLabeled\n", + "from HARK.utilities import plot_funcs # basic plotting tools\n", + "\n", + "do_simulation = True" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:38.140862Z", + "iopub.status.busy": "2024-07-11T15:28:38.140575Z", + "iopub.status.idle": "2024-07-11T15:28:38.143289Z", + "shell.execute_reply": "2024-07-11T15:28:38.142819Z" + } + }, + "outputs": [], + "source": [ + "# Define the model primitives\n", + "base_primitives = {\n", + " \"UnempPrb\": 0.00625, # Probability of becoming unemployed\n", + " \"DiscFac\": 0.975, # Intertemporal discount factor\n", + " \"Rfree\": 1.01, # Risk-free interest factor on assets\n", + " \"PermGroFac\": 1.0025, # Permanent income growth factor (uncompensated)\n", + " \"CRRA\": 1.0,\n", + "} # Coefficient of relative risk aversion" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:38.144857Z", + "iopub.status.busy": "2024-07-11T15:28:38.144604Z", + "iopub.status.idle": "2024-07-11T15:28:38.147174Z", + "shell.execute_reply": "2024-07-11T15:28:38.146723Z" + } + }, + "outputs": [], + "source": [ + "# Define a dictionary to be used in case of simulation\n", + "simulation_values = {\n", + " \"aLvlInitMean\": 0.0, # Mean of log initial assets for new agents\n", + " \"aLvlInitStd\": 1.0, # Stdev of log initial assets for new agents\n", + " \"AgentCount\": 10000, # Number of agents to simulate\n", + " \"T_sim\": 120, # Number of periods to simulate\n", + " \"T_cycle\": 1,\n", + "} # Number of periods in the cycle" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:38.148655Z", + "iopub.status.busy": "2024-07-11T15:28:38.148424Z", + "iopub.status.idle": "2024-07-11T15:28:38.153501Z", + "shell.execute_reply": "2024-07-11T15:28:38.153035Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Solving a tractable consumption-savings model took 0.0018313999999999275 seconds.\n" + ] + } + ], + "source": [ + "# Make and solve a tractable consumer type\n", + "ExampleType = TractableConsumerType()\n", + "ExampleType.assign_parameters(**base_primitives)\n", + "t_start = process_time()\n", + "ExampleType.solve()\n", + "t_end = process_time()\n", + "print(\n", + " \"Solving a tractable consumption-savings model took \"\n", + " + str(t_end - t_start)\n", + " + \" seconds.\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:38.155159Z", + "iopub.status.busy": "2024-07-11T15:28:38.154710Z", + "iopub.status.idle": "2024-07-11T15:28:38.452503Z", + "shell.execute_reply": "2024-07-11T15:28:38.451910Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the consumption function and whatnot\n", + "m_upper = 1.5 * ExampleType.mTarg\n", + "conFunc_PF = lambda m: ExampleType.h * ExampleType.PFMPC + ExampleType.PFMPC * m\n", + "# plot_funcs([ExampleType.solution[0].cFunc,ExampleType.mSSfunc,ExampleType.cSSfunc],0,m_upper)\n", + "plot_funcs([ExampleType.solution[0].cFunc, ExampleType.solution[0].cFunc_U], 0, m_upper)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:38.454367Z", + "iopub.status.busy": "2024-07-11T15:28:38.454005Z", + "iopub.status.idle": "2024-07-11T15:28:38.615600Z", + "shell.execute_reply": "2024-07-11T15:28:38.615039Z" }, - "nbformat": 4, - "nbformat_minor": 4 + "lines_to_next_cell": 2 + }, + "outputs": [], + "source": [ + "if do_simulation:\n", + " ExampleType.assign_parameters(\n", + " **simulation_values,\n", + " ) # Set attributes needed for simulation\n", + " ExampleType.track_vars = [\"mLvl\"]\n", + " ExampleType.make_shock_history()\n", + " ExampleType.initialize_sim()\n", + " ExampleType.simulate()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:38.617489Z", + "iopub.status.busy": "2024-07-11T15:28:38.617241Z", + "iopub.status.idle": "2024-07-11T15:28:38.624528Z", + "shell.execute_reply": "2024-07-11T15:28:38.624049Z" + } + }, + "outputs": [], + "source": [ + "# Now solve the same model using backward induction rather than the analytic method of TBS.\n", + "# The TBS model is equivalent to a Markov model with two states, one of them absorbing (permanent unemployment).\n", + "MrkvArray = np.array(\n", + " [[1.0 - base_primitives[\"UnempPrb\"], base_primitives[\"UnempPrb\"]], [0.0, 1.0]],\n", + ") # Define the two state, absorbing unemployment Markov array\n", + "init_consumer_objects = {\n", + " \"CRRA\": base_primitives[\"CRRA\"],\n", + " \"Rfree\": np.array(\n", + " 2 * [base_primitives[\"Rfree\"]],\n", + " ), # Interest factor (same in both states)\n", + " \"PermGroFac\": [\n", + " np.array(\n", + " 2 * [base_primitives[\"PermGroFac\"] / (1.0 - base_primitives[\"UnempPrb\"])],\n", + " ),\n", + " ], # Unemployment-compensated permanent growth factor\n", + " \"BoroCnstArt\": None, # Artificial borrowing constraint\n", + " \"PermShkStd\": [0.0], # Permanent shock standard deviation\n", + " \"PermShkCount\": 1, # Number of shocks in discrete permanent shock distribution\n", + " \"TranShkStd\": [0.0], # Transitory shock standard deviation\n", + " \"TranShkCount\": 1, # Number of shocks in discrete permanent shock distribution\n", + " \"T_cycle\": 1, # Number of periods in cycle\n", + " \"UnempPrb\": 0.0, # Unemployment probability (not used, as the unemployment here is *permanent*, not transitory)\n", + " \"UnempPrbRet\": 0.0, # Unemployment probability when retired (irrelevant here)\n", + " \"T_retire\": 0, # Age at retirement (turned off)\n", + " \"IncUnemp\": 0.0, # Income when unemployed (irrelevant)\n", + " \"IncUnempRet\": 0.0, # Income when unemployed and retired (irrelevant)\n", + " \"aXtraMin\": 0.001, # Minimum value of assets above minimum in grid\n", + " \"aXtraMax\": ExampleType.mUpperBnd, # Maximum value of assets above minimum in grid\n", + " \"aXtraCount\": 48, # Number of points in assets grid\n", + " \"aXtraExtra\": None, # Additional points to include in assets grid\n", + " \"aXtraNestFac\": 3, # Degree of exponential nesting when constructing assets grid\n", + " \"LivPrb\": [np.array([1.0, 1.0])], # Survival probability\n", + " \"DiscFac\": base_primitives[\"DiscFac\"], # Intertemporal discount factor\n", + " \"AgentCount\": 1, # Number of agents in a simulation (irrelevant)\n", + " \"tax_rate\": 0.0, # Tax rate on labor income (irrelevant)\n", + " \"vFuncBool\": False, # Whether to calculate the value function\n", + " \"CubicBool\": True, # Whether to use cubic splines (False --> linear splines)\n", + " \"MrkvArray\": [MrkvArray], # State transition probabilities\n", + "}\n", + "MarkovType = MarkovConsumerType(**init_consumer_objects) # Make a basic consumer type" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:38.625993Z", + "iopub.status.busy": "2024-07-11T15:28:38.625752Z", + "iopub.status.idle": "2024-07-11T15:28:38.629449Z", + "shell.execute_reply": "2024-07-11T15:28:38.628984Z" + } + }, + "outputs": [], + "source": [ + "employed_income_dist = DiscreteDistributionLabeled(\n", + " pmv=np.ones(1),\n", + " atoms=np.array([[1.0], [1.0]]),\n", + " var_names=[\"PermShk\", \"TranShk\"],\n", + ") # Income distribution when employed\n", + "unemployed_income_dist = DiscreteDistributionLabeled(\n", + " pmv=np.ones(1),\n", + " atoms=np.array([[1.0], [0.0]]),\n", + " var_names=[\"PermShk\", \"TranShk\"],\n", + ") # Income distribution when permanently unemployed" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:38.630942Z", + "iopub.status.busy": "2024-07-11T15:28:38.630695Z", + "iopub.status.idle": "2024-07-11T15:28:38.633030Z", + "shell.execute_reply": "2024-07-11T15:28:38.632580Z" + } + }, + "outputs": [], + "source": [ + "MarkovType.IncShkDstn = [\n", + " [employed_income_dist, unemployed_income_dist],\n", + "] # set the income distribution in each state\n", + "MarkovType.cycles = 0" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:38.634478Z", + "iopub.status.busy": "2024-07-11T15:28:38.634249Z", + "iopub.status.idle": "2024-07-11T15:28:38.764369Z", + "shell.execute_reply": "2024-07-11T15:28:38.763860Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "The calc_limiting_values method must be run before the calc_stable_points method.\n" + ] + } + ], + "source": [ + "# Solve the \"Markov TBS\" model\n", + "t_start = process_time()\n", + "MarkovType.solve()\n", + "t_end = process_time()\n", + "MarkovType.unpack(\"cFunc\")" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:38.765970Z", + "iopub.status.busy": "2024-07-11T15:28:38.765719Z", + "iopub.status.idle": "2024-07-11T15:28:38.882997Z", + "shell.execute_reply": "2024-07-11T15:28:38.882470Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Solving the same model \"the long way\" took 0.12803889999999996 seconds.\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Difference between the (employed) consumption functions:\n" + ] + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print(\n", + " 'Solving the same model \"the long way\" took ' + str(t_end - t_start) + \" seconds.\",\n", + ")\n", + "# plot_funcs([ExampleType.solution[0].cFunc,ExampleType.solution[0].cFunc_U],0,m_upper)\n", + "plot_funcs(MarkovType.cFunc[0], 0, m_upper)\n", + "diffFunc = lambda m: ExampleType.solution[0].cFunc(m) - MarkovType.cFunc[0][0](m)\n", + "print(\"Difference between the (employed) consumption functions:\")\n", + "plot_funcs(diffFunc, 0, m_upper)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "jupytext": { + "cell_metadata_filter": "-all", + "formats": "ipynb,py:percent" + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + }, + "latex_envs": { + "LaTeX_envs_menu_present": true, + "autoclose": false, + "autocomplete": true, + "bibliofile": "biblio.bib", + "cite_by": "apalike", + "current_citInitial": 1, + "eqLabelWithNumbers": true, + "eqNumInitial": 1, + "hotkeys": { + "equation": "Ctrl-E", + "itemize": "Ctrl-I" + }, + "labels_anchors": false, + "latex_user_defs": false, + "report_style_numbering": false, + "user_envs_cfg": false + } + }, + "nbformat": 4, + "nbformat_minor": 4 } diff --git a/examples/Distributions/DiscreteDistributionLabeled.ipynb b/examples/Distributions/DiscreteDistributionLabeled.ipynb index 48e2fbe03..cf3a81128 100644 --- a/examples/Distributions/DiscreteDistributionLabeled.ipynb +++ b/examples/Distributions/DiscreteDistributionLabeled.ipynb @@ -1,835 +1,835 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# `DDL`: Using `xarray` in `DiscreteDistribution`\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First we import relevant libraries and tools, including the new `DiscreteDistributionLabeled` class.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:39.809239Z", - "iopub.status.busy": "2024-07-11T15:28:39.808988Z", - "iopub.status.idle": "2024-07-11T15:28:40.352492Z", - "shell.execute_reply": "2024-07-11T15:28:40.351950Z" - } - }, - "outputs": [], - "source": [ - "import numpy as np\n", - "\n", - "from HARK.distributions import (\n", - " DiscreteDistributionLabeled,\n", - " MeanOneLogNormal,\n", - " calc_expectation,\n", - " combine_indep_dstns,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We create a distribution of shocks to income from continuous distributions.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:40.354583Z", - "iopub.status.busy": "2024-07-11T15:28:40.354231Z", - "iopub.status.idle": "2024-07-11T15:28:40.363445Z", - "shell.execute_reply": "2024-07-11T15:28:40.362927Z" - } - }, - "outputs": [], - "source": [ - "PermShkDstn = MeanOneLogNormal().discretize(200)\n", - "TranShkDstn = MeanOneLogNormal().discretize(200)\n", - "IncShkDstn = combine_indep_dstns(PermShkDstn, TranShkDstn)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Taking the components of `IncShkDstn`, we can now create a `DiscreteDistributionLabeled` object. As a demonstration of additional features, we can add a name attribute to the `DDL` object, as well as named dimensions and coordinates.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:40.365035Z", - "iopub.status.busy": "2024-07-11T15:28:40.364789Z", - "iopub.status.idle": "2024-07-11T15:28:40.368409Z", - "shell.execute_reply": "2024-07-11T15:28:40.367721Z" - } - }, - "outputs": [], - "source": [ - "x_dist = DiscreteDistributionLabeled.from_unlabeled(\n", - " IncShkDstn,\n", - " name=\"Distribution of Shocks to Income\",\n", - " var_names=[\"perm_shk\", \"tran_shk\"],\n", - " var_attrs=[\n", - " {\n", - " \"name\": \"Permanent Shocks to Income\",\n", - " \"limit\": {\"type\": \"Lognormal\", \"mean\": -0.5, \"variance\": 1.0},\n", - " },\n", - " {\n", - " \"name\": \"Transitory Shocks to Income\",\n", - " \"limit\": {\"type\": \"Lognormal\", \"mean\": -0.5, \"variance\": 1.0},\n", - " },\n", - " ],\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The underlying object and metadata is stored in a `xarray.Dataset` object which can be accessed using the `.dataset` attribute.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:40.369943Z", - "iopub.status.busy": "2024-07-11T15:28:40.369702Z", - "iopub.status.idle": "2024-07-11T15:28:40.379462Z", - "shell.execute_reply": "2024-07-11T15:28:40.378988Z" - } - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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<xarray.Dataset> Size: 640kB\n",
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-                            "    perm_shk  (atom) float64 320kB 0.03491 0.03491 0.03491 ... 11.51 11.51 11.51\n",
-                            "    tran_shk  (atom) float64 320kB 0.03491 0.05308 0.0644 ... 5.724 6.966 11.51\n",
-                            "Attributes:\n",
-                            "    name:     Distribution of Shocks to Income
" - ], - "text/plain": [ - " Size: 640kB\n", - "Dimensions: (atom: 40000)\n", - "Dimensions without coordinates: atom\n", - "Data variables:\n", - " perm_shk (atom) float64 320kB 0.03491 0.03491 0.03491 ... 11.51 11.51 11.51\n", - " tran_shk (atom) float64 320kB 0.03491 0.05308 0.0644 ... 5.724 6.966 11.51\n", - "Attributes:\n", - " name: Distribution of Shocks to Income" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "x_dist.dataset" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Using functions with labels to take expresive expectations.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Taking the expectation of a `DDL` object is straightforward using the own `expected()` method.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:40.380980Z", - "iopub.status.busy": "2024-07-11T15:28:40.380727Z", - "iopub.status.idle": "2024-07-11T15:28:40.384030Z", - "shell.execute_reply": "2024-07-11T15:28:40.383566Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([1., 1.])" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "x_dist.expected()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "As in the `DiscreteDistribution`, we can provide a function and arguments to the `expected()` method.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:40.385529Z", - "iopub.status.busy": "2024-07-11T15:28:40.385283Z", - "iopub.status.idle": "2024-07-11T15:28:40.387737Z", - "shell.execute_reply": "2024-07-11T15:28:40.387244Z" - } - }, - "outputs": [], - "source": [ - "aGrid = np.linspace(0, 20, 100)\n", - "R = 1.03" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The main difference is that the `expected()` method of `DDL` objects can take a function that uses the labels of the `xarray.DataArray` object. This allows for clearer and more expresive mathematical functions and transition equations. Surprisingly, using a function with labels does not add much overhead to the function evaluation.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:40.389284Z", - "iopub.status.busy": "2024-07-11T15:28:40.388887Z", - "iopub.status.idle": "2024-07-11T15:28:50.798166Z", - "shell.execute_reply": "2024-07-11T15:28:50.797376Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "12.9 ms ± 268 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "x_dist.expected(\n", - " lambda dist, a, R: R * a / dist[\"perm_shk\"] + dist[\"tran_shk\"],\n", - " aGrid,\n", - " R,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Compared to the old method of `calc_expectation` which takes a `DiscreteDistribution` object as input, the new method which takes a `DiscreteDistributionLabeled` object is significantly faster." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:28:50.801014Z", - "iopub.status.busy": "2024-07-11T15:28:50.800415Z", - "iopub.status.idle": "2024-07-11T15:29:04.469314Z", - "shell.execute_reply": "2024-07-11T15:29:04.468693Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "169 ms ± 1.57 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "calc_expectation(IncShkDstn, lambda dist, a, R: R * a / dist[0] + dist[1], aGrid, R)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can also use `HARK.distributions.expected`.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:29:04.471912Z", - "iopub.status.busy": "2024-07-11T15:29:04.471287Z", - "iopub.status.idle": "2024-07-11T15:29:04.474795Z", - "shell.execute_reply": "2024-07-11T15:29:04.474058Z" - } - }, - "outputs": [], - "source": [ - "from HARK.distributions import expected" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:29:04.477066Z", - "iopub.status.busy": "2024-07-11T15:29:04.476612Z", - "iopub.status.idle": "2024-07-11T15:29:04.497062Z", - "shell.execute_reply": "2024-07-11T15:29:04.496453Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 1. , 1.56267794, 2.12535588, 2.68803382, 3.25071176,\n", - " 3.8133897 , 4.37606764, 4.93874558, 5.50142352, 6.06410146,\n", - " 6.6267794 , 7.18945734, 7.75213528, 8.31481322, 8.87749116,\n", - " 9.4401691 , 10.00284704, 10.56552498, 11.12820292, 11.69088086,\n", - " 12.2535588 , 12.81623674, 13.37891468, 13.94159262, 14.50427056,\n", - " 15.0669485 , 15.62962644, 16.19230438, 16.75498232, 17.31766026,\n", - " 17.8803382 , 18.44301614, 19.00569408, 19.56837202, 20.13104997,\n", - " 20.69372791, 21.25640585, 21.81908379, 22.38176173, 22.94443967,\n", - " 23.50711761, 24.06979555, 24.63247349, 25.19515143, 25.75782937,\n", - " 26.32050731, 26.88318525, 27.44586319, 28.00854113, 28.57121907,\n", - " 29.13389701, 29.69657495, 30.25925289, 30.82193083, 31.38460877,\n", - " 31.94728671, 32.50996465, 33.07264259, 33.63532053, 34.19799847,\n", - " 34.76067641, 35.32335435, 35.88603229, 36.44871023, 37.01138817,\n", - " 37.57406611, 38.13674405, 38.69942199, 39.26209993, 39.82477787,\n", - " 40.38745581, 40.95013375, 41.51281169, 42.07548963, 42.63816757,\n", - " 43.20084551, 43.76352345, 44.32620139, 44.88887933, 45.45155727,\n", - " 46.01423521, 46.57691315, 47.13959109, 47.70226903, 48.26494697,\n", - " 48.82762491, 49.39030285, 49.95298079, 50.51565873, 51.07833667,\n", - " 51.64101461, 52.20369255, 52.76637049, 53.32904843, 53.89172637,\n", - " 54.45440431, 55.01708225, 55.57976019, 56.14243813, 56.70511607])" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "expected(\n", - " func=lambda dist, a, R: R * a / dist[\"perm_shk\"] + dist[\"tran_shk\"],\n", - " dist=x_dist,\n", - " args=(aGrid, R),\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Additionally, we can use xarrays as inputs via keyword arguments." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:29:04.499560Z", - "iopub.status.busy": "2024-07-11T15:29:04.499106Z", - "iopub.status.idle": "2024-07-11T15:29:04.502529Z", - "shell.execute_reply": "2024-07-11T15:29:04.501988Z" - } - }, - "outputs": [], - "source": [ - "from xarray import DataArray\n", - "\n", - "aNrm = DataArray(aGrid, name=\"aNrm\", dims=(\"aNrm\"))" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:29:04.504656Z", - "iopub.status.busy": "2024-07-11T15:29:04.504464Z", - "iopub.status.idle": "2024-07-11T15:29:04.510221Z", - "shell.execute_reply": "2024-07-11T15:29:04.509618Z" - } - }, - "outputs": [], - "source": [ - "def mNrm_next(dist, R, a=None):\n", - " variables = {}\n", - " variables[\"mNrm_next\"] = R * a / dist[\"perm_shk\"] + dist[\"tran_shk\"]\n", - " return variables" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:29:04.512037Z", - "iopub.status.busy": "2024-07-11T15:29:04.511882Z", - "iopub.status.idle": "2024-07-11T15:29:17.731513Z", - "shell.execute_reply": "2024-07-11T15:29:17.730953Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "16.3 ms ± 142 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "expected(\n", - " func=mNrm_next,\n", - " dist=x_dist,\n", - " args=R,\n", - " a=aNrm,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Taking the expectation with xarray inputs and labeled equations is still significantly faster than the old method." - ] - } - ], - "metadata": { - "jupytext": { - "formats": "ipynb,py:percent" - }, - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.9" - }, - "vscode": { - "interpreter": { - "hash": "ab336f3885e19cdf99951e4b73ee65835b5095c97279903ad09e0692d3a202c7" - } - } - }, - "nbformat": 4, - "nbformat_minor": 4 + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# `DDL`: Using `xarray` in `DiscreteDistribution`\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First we import relevant libraries and tools, including the new `DiscreteDistributionLabeled` class.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:39.809239Z", + "iopub.status.busy": "2024-07-11T15:28:39.808988Z", + "iopub.status.idle": "2024-07-11T15:28:40.352492Z", + "shell.execute_reply": "2024-07-11T15:28:40.351950Z" + } + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "from HARK.distributions import (\n", + " DiscreteDistributionLabeled,\n", + " MeanOneLogNormal,\n", + " calc_expectation,\n", + " combine_indep_dstns,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We create a distribution of shocks to income from continuous distributions.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:40.354583Z", + "iopub.status.busy": "2024-07-11T15:28:40.354231Z", + "iopub.status.idle": "2024-07-11T15:28:40.363445Z", + "shell.execute_reply": "2024-07-11T15:28:40.362927Z" + } + }, + "outputs": [], + "source": [ + "PermShkDstn = MeanOneLogNormal().discretize(200)\n", + "TranShkDstn = MeanOneLogNormal().discretize(200)\n", + "IncShkDstn = combine_indep_dstns(PermShkDstn, TranShkDstn)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Taking the components of `IncShkDstn`, we can now create a `DiscreteDistributionLabeled` object. As a demonstration of additional features, we can add a name attribute to the `DDL` object, as well as named dimensions and coordinates.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:40.365035Z", + "iopub.status.busy": "2024-07-11T15:28:40.364789Z", + "iopub.status.idle": "2024-07-11T15:28:40.368409Z", + "shell.execute_reply": "2024-07-11T15:28:40.367721Z" + } + }, + "outputs": [], + "source": [ + "x_dist = DiscreteDistributionLabeled.from_unlabeled(\n", + " IncShkDstn,\n", + " name=\"Distribution of Shocks to Income\",\n", + " var_names=[\"perm_shk\", \"tran_shk\"],\n", + " var_attrs=[\n", + " {\n", + " \"name\": \"Permanent Shocks to Income\",\n", + " \"limit\": {\"type\": \"Lognormal\", \"mean\": -0.5, \"variance\": 1.0},\n", + " },\n", + " {\n", + " \"name\": \"Transitory Shocks to Income\",\n", + " \"limit\": {\"type\": \"Lognormal\", \"mean\": -0.5, \"variance\": 1.0},\n", + " },\n", + " ],\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The underlying object and metadata is stored in a `xarray.Dataset` object which can be accessed using the `.dataset` attribute.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:40.369943Z", + "iopub.status.busy": "2024-07-11T15:28:40.369702Z", + "iopub.status.idle": "2024-07-11T15:28:40.379462Z", + "shell.execute_reply": "2024-07-11T15:28:40.378988Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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<xarray.Dataset> Size: 640kB\n",
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+       "    tran_shk  (atom) float64 320kB 0.03491 0.05308 0.0644 ... 5.724 6.966 11.51\n",
+       "Attributes:\n",
+       "    name:     Distribution of Shocks to Income
" + ], + "text/plain": [ + " Size: 640kB\n", + "Dimensions: (atom: 40000)\n", + "Dimensions without coordinates: atom\n", + "Data variables:\n", + " perm_shk (atom) float64 320kB 0.03491 0.03491 0.03491 ... 11.51 11.51 11.51\n", + " tran_shk (atom) float64 320kB 0.03491 0.05308 0.0644 ... 5.724 6.966 11.51\n", + "Attributes:\n", + " name: Distribution of Shocks to Income" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x_dist.dataset" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Using functions with labels to take expresive expectations.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Taking the expectation of a `DDL` object is straightforward using the own `expected()` method.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:40.380980Z", + "iopub.status.busy": "2024-07-11T15:28:40.380727Z", + "iopub.status.idle": "2024-07-11T15:28:40.384030Z", + "shell.execute_reply": "2024-07-11T15:28:40.383566Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([1., 1.])" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x_dist.expected()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As in the `DiscreteDistribution`, we can provide a function and arguments to the `expected()` method.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:40.385529Z", + "iopub.status.busy": "2024-07-11T15:28:40.385283Z", + "iopub.status.idle": "2024-07-11T15:28:40.387737Z", + "shell.execute_reply": "2024-07-11T15:28:40.387244Z" + } + }, + "outputs": [], + "source": [ + "aGrid = np.linspace(0, 20, 100)\n", + "R = 1.03" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The main difference is that the `expected()` method of `DDL` objects can take a function that uses the labels of the `xarray.DataArray` object. This allows for clearer and more expresive mathematical functions and transition equations. Surprisingly, using a function with labels does not add much overhead to the function evaluation.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:40.389284Z", + "iopub.status.busy": "2024-07-11T15:28:40.388887Z", + "iopub.status.idle": "2024-07-11T15:28:50.798166Z", + "shell.execute_reply": "2024-07-11T15:28:50.797376Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "12.9 ms ± 268 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "x_dist.expected(\n", + " lambda dist, a, R: R * a / dist[\"perm_shk\"] + dist[\"tran_shk\"],\n", + " aGrid,\n", + " R,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Compared to the old method of `calc_expectation` which takes a `DiscreteDistribution` object as input, the new method which takes a `DiscreteDistributionLabeled` object is significantly faster." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:28:50.801014Z", + "iopub.status.busy": "2024-07-11T15:28:50.800415Z", + "iopub.status.idle": "2024-07-11T15:29:04.469314Z", + "shell.execute_reply": "2024-07-11T15:29:04.468693Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "169 ms ± 1.57 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "calc_expectation(IncShkDstn, lambda dist, a, R: R * a / dist[0] + dist[1], aGrid, R)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can also use `HARK.distributions.expected`.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:29:04.471912Z", + "iopub.status.busy": "2024-07-11T15:29:04.471287Z", + "iopub.status.idle": "2024-07-11T15:29:04.474795Z", + "shell.execute_reply": "2024-07-11T15:29:04.474058Z" + } + }, + "outputs": [], + "source": [ + "from HARK.distributions import expected" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:29:04.477066Z", + "iopub.status.busy": "2024-07-11T15:29:04.476612Z", + "iopub.status.idle": "2024-07-11T15:29:04.497062Z", + "shell.execute_reply": "2024-07-11T15:29:04.496453Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 1. , 1.56267794, 2.12535588, 2.68803382, 3.25071176,\n", + " 3.8133897 , 4.37606764, 4.93874558, 5.50142352, 6.06410146,\n", + " 6.6267794 , 7.18945734, 7.75213528, 8.31481322, 8.87749116,\n", + " 9.4401691 , 10.00284704, 10.56552498, 11.12820292, 11.69088086,\n", + " 12.2535588 , 12.81623674, 13.37891468, 13.94159262, 14.50427056,\n", + " 15.0669485 , 15.62962644, 16.19230438, 16.75498232, 17.31766026,\n", + " 17.8803382 , 18.44301614, 19.00569408, 19.56837202, 20.13104997,\n", + " 20.69372791, 21.25640585, 21.81908379, 22.38176173, 22.94443967,\n", + " 23.50711761, 24.06979555, 24.63247349, 25.19515143, 25.75782937,\n", + " 26.32050731, 26.88318525, 27.44586319, 28.00854113, 28.57121907,\n", + " 29.13389701, 29.69657495, 30.25925289, 30.82193083, 31.38460877,\n", + " 31.94728671, 32.50996465, 33.07264259, 33.63532053, 34.19799847,\n", + " 34.76067641, 35.32335435, 35.88603229, 36.44871023, 37.01138817,\n", + " 37.57406611, 38.13674405, 38.69942199, 39.26209993, 39.82477787,\n", + " 40.38745581, 40.95013375, 41.51281169, 42.07548963, 42.63816757,\n", + " 43.20084551, 43.76352345, 44.32620139, 44.88887933, 45.45155727,\n", + " 46.01423521, 46.57691315, 47.13959109, 47.70226903, 48.26494697,\n", + " 48.82762491, 49.39030285, 49.95298079, 50.51565873, 51.07833667,\n", + " 51.64101461, 52.20369255, 52.76637049, 53.32904843, 53.89172637,\n", + " 54.45440431, 55.01708225, 55.57976019, 56.14243813, 56.70511607])" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "expected(\n", + " func=lambda dist, a, R: R * a / dist[\"perm_shk\"] + dist[\"tran_shk\"],\n", + " dist=x_dist,\n", + " args=(aGrid, R),\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Additionally, we can use xarrays as inputs via keyword arguments." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:29:04.499560Z", + "iopub.status.busy": "2024-07-11T15:29:04.499106Z", + "iopub.status.idle": "2024-07-11T15:29:04.502529Z", + "shell.execute_reply": "2024-07-11T15:29:04.501988Z" + } + }, + "outputs": [], + "source": [ + "from xarray import DataArray\n", + "\n", + "aNrm = DataArray(aGrid, name=\"aNrm\", dims=(\"aNrm\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:29:04.504656Z", + "iopub.status.busy": "2024-07-11T15:29:04.504464Z", + "iopub.status.idle": "2024-07-11T15:29:04.510221Z", + "shell.execute_reply": "2024-07-11T15:29:04.509618Z" + } + }, + "outputs": [], + "source": [ + "def mNrm_next(dist, R, a=None):\n", + " variables = {}\n", + " variables[\"mNrm_next\"] = R * a / dist[\"perm_shk\"] + dist[\"tran_shk\"]\n", + " return variables" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:29:04.512037Z", + "iopub.status.busy": "2024-07-11T15:29:04.511882Z", + "iopub.status.idle": "2024-07-11T15:29:17.731513Z", + "shell.execute_reply": "2024-07-11T15:29:17.730953Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "16.3 ms ± 142 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "expected(\n", + " func=mNrm_next,\n", + " dist=x_dist,\n", + " args=R,\n", + " a=aNrm,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Taking the expectation with xarray inputs and labeled equations is still significantly faster than the old method." + ] + } + ], + "metadata": { + "jupytext": { + "formats": "ipynb,py:percent" + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + }, + "vscode": { + "interpreter": { + "hash": "ab336f3885e19cdf99951e4b73ee65835b5095c97279903ad09e0692d3a202c7" + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 } diff --git a/examples/Distributions/EquiprobableLognormal.ipynb b/examples/Distributions/EquiprobableLognormal.ipynb index a16529e11..da8c848da 100644 --- a/examples/Distributions/EquiprobableLognormal.ipynb +++ b/examples/Distributions/EquiprobableLognormal.ipynb @@ -1,699 +1,699 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Equiprobable Discretization of Multivariate Lognormals\n", - "\n", - "This notebook describes two ways of discretizing a multivariate lognormal distribution. Suppose $X = (X_1,\\,...,\\,X_n)$ are jointly lognormally distributed, with parameters $\\log(X) \\sim \\mathcal{N}(\\mu,\\,\\Sigma)$. We want to produce a discretized version of this distribution with atoms indexed by $[i_1,\\,...,\\,i_n]$ such that an approximation to the integrals of any function $\\theta$ of $X$ can be given as:\n", - "$$\n", - "\\begin{align*}\n", - "\\mathbb{E}[\\theta] &= \\int_{\\infty}^{\\infty}\\cdots\\int_{\\infty}^{\\infty}\\theta(x)f_{X}(x)dx_1\\cdots dx_n\\\\\n", - "&\\approx \\sum_{i_1}\\cdots\\sum_{i_n}\\theta(X[i_1,\\,...,\\,i_n])w[i_1,\\,...,\\,i_n]\\\\\n", - "&= \\frac{1}{m^{n}}\\sum_{i_1=1}^{m}\\cdots\\sum_{i_n=1}^{m}\\theta(X[i_1,\\,...,\\,i_n])\n", - "\\end{align*}\n", - "$$\n", - "To do so, we first begin with a standard $n$-variate normal given by $Z \\sim \\mathcal{N}(0,\\,I_{n})$. Fix an integer $m$, and divide the real-line into $m$ equiprobable intervals by the standard univariate normal distribution. Let the collection of these intervals be denoted by $\\mathcal{Z}$. Then $\\mathcal{Z}^n$ is an equiprobable grid in $\\mathbb{R}^n$ by the standard $n$-variate normal distribution.\n", - "\n", - "We now want to construct a random vector $Y = (Y_1,\\,...,\\,Y_n)$ such that $Y \\sim \\mathcal{N}(\\mu,\\,\\Sigma)$. There are two approaches to doing so.\n", - "\n", - "## Eigendecomposition\n", - "\n", - "Note that $\\Sigma$ is a covariance matrix, and thus real-symmetric and positive semi-definite. We can decompose it into\n", - "$$\n", - "\\Sigma = Q\\Lambda Q^T\n", - "$$\n", - "\n", - "### Approach 1\n", - "\n", - "Construct a matrix $\\tilde{\\Sigma}$ such that\n", - "$$\n", - "\\tilde{\\Sigma} = Q(\\Lambda)^{1/2}\n", - "$$\n", - "By construction, $\\tilde{\\Sigma}\\tilde{\\Sigma}^T = \\Sigma$. Let $Y = \\mu + \\tilde{\\Sigma}Z$. By the linear transformation theorem for multivariate normals, $Y \\sim \\mathcal{N}(\\mu,\\,\\tilde{\\Sigma}\\tilde{\\Sigma}^T) = \\mathcal{N}(\\mu,\\,\\Sigma)$.\n", - "\n", - "### Approach 2\n", - "\n", - "We can also use the positive-definite square root of $\\Sigma$, $(\\Sigma)^{1/2} = Q(\\Lambda)^{1/2}Q^T = \\tilde{\\Sigma}Q^T$. While all the above arguments apply, the initial rotation by $Q^T$ makes for a better approximation of the true CDF.\n", - "\n", - "## Cholesky Decomposition (recommended)\n", - "\n", - "An alternative way of constructing $Y$ is to use the Cholesky decomposition instead. Note that $\\Sigma$ is real and positive semi-definite, which implies that such a decomposition exists, with $\\Sigma = LL^T$. Then, let $Y = \\mu + LZ$. By the earlier argument, $Y \\sim \\mathcal{N}(\\mu,\\,\\Sigma)$.\n", - "\n", - "This construction can also be implemented using a simple recursive formula. Each $Y_{i}$ is written as\n", - "$$\n", - "\\begin{align*}\n", - "Y_{i} = \\sum_{j = 1}^{n}\\text{Cov}(Y_{i},\\,Z_{j})Z_{j}\n", - "\\end{align*}\n", - "$$\n", - "For $j > i$, $\\text{Cov}(Y_{i},\\,Z_{j}) = 0$. For $j < i$\n", - "$$\n", - "\\text{Cov}(Y_{i},\\,Z_{j}) = \\frac{\\sigma_{ij} - \\sum_{k < j}\\text{Cov}(Y_{i},\\,Z_{k})\\text{Cov}(Y_{j},\\,Z_{k})}{\\text{Cov}(Y_{j},\\,Z_{j})}\n", - "$$\n", - "For $j = i$\n", - "$$\n", - "\\text{Cov}(Y_{i},\\,Z_{i}) = \\sqrt{\\sigma_{i}^2 - \\sum_{j=1}^{i}\\text{Cov}(Y_{i},\\,Z_{j})}\n", - "$$\n", - "with the base case for all of the above given by $\\text{Cov}(Y_1,\\,Z_1) = \\sigma_1$.\n", - "\n", - "## Computing the atoms \n", - "\n", - "Now that we have a multivariate normal distribution, we wish to compute the conditional expectation of the lognormal variables $X_i = \\exp(Y_i)$ in each of the equiprobable regions of $\\mathbb{R}^n$. Note, firstly, that we can compute the expectation of each lognormal variable separately in each of the regions. Further, as the regions are rectangular, we can use the following simplification:\n", - "$$\n", - "\\begin{align*}\n", - "\\mathbb{E}[X_i | Z \\in [\\underline{z}_1,\\,\\overline{z}_1] \\times \\cdots \\times [\\underline{z}_n,\\,\\overline{z}_n]] &= m^{n}\\int_{\\underline{z}_n}^{\\overline{z}_{n}}\\cdots\\int_{\\underline{z}_1}^{\\overline{z}_1}\\exp(Y_i)f_{Z}(z)dz_1\\cdots dz_n\\\\\n", - "&= m^{n}\\exp(\\mu_i)\\int_{\\underline{z}_n}^{\\overline{z}_{n}}\\cdots\\int_{\\underline{z}_1}^{\\overline{z}_1}\\exp\\left(\\sum_{j=1}^{n}\\text{Cov}(Y_{i},\\,Z_{j})z_{j}\\right)f_{Z}(z)dz_1\\cdots dz_n\\\\\n", - "&= m^{n}\\exp(\\mu_i)\\prod_{j=1}^{n}\\int_{\\underline{z}_{j}}^{\\overline{z}_{j}}\\exp\\left(\\text{Cov}(Y_i,\\,Z_j)z_j\\right)\\varphi(z_j)dz_j\n", - "\\end{align*}\n", - "$$\n", - "The key is to compute each of these integrals efficiently.\n", - "\n", - "### Change of variables\n", - "\n", - "The definite integral of a lognormal variable $X$ such that $\\log(X) \\sim \\mathcal{N}(0,\\,\\sigma)$ over the interval $(\\underline{x},\\,\\overline{x})$ can be computed using\n", - "$$\n", - "\\begin{align*}\n", - "\\int_{\\underline{x}}^{\\overline{x}}xf_{X}(x)dx = \\frac{1}{2} \\cdot \\exp\\left(\\frac{\\sigma^2}{2}\\right) \\cdot \\left[\\text{erf}\\left(\\frac{\\sigma^2 - \\log(\\overline{x})}{\\sigma\\sqrt{2}}\\right) - \\text{erf}\\left(\\frac{\\sigma^2 - \\log(\\underline{x})}{\\sigma\\sqrt{2}}\\right)\\right]\n", - "\\end{align*}\n", - "$$\n", - "We apply this formula to each of the integrals above. Define $\\tilde{X}_{ij} = \\exp\\left(\\text{Cov}(Y_i,\\,Z_j)Z_j\\right)$. Then\n", - "$$\n", - "\\int_{\\underline{z}_{j}}^{\\overline{z}_{j}}\\exp\\left(\\text{Cov}(Y_i,\\,Z_j)z_j\\right)\\varphi(z_j)dz_j = \\int_{\\underline{\\tilde{x}}_{ij}}^{\\overline{\\tilde{x}}_{ij}}\\tilde{x}_{ij}f_{\\tilde{X}_{ij}}(\\tilde{x}_{ij})d\\tilde{x}_{ij}\n", - "$$\n", - "where $\\underline{\\tilde{x}}_{ij} = \\exp(\\text{Cov}(Y_i,\\,Z_j)\\underline{z}_j)$ and $\\overline{\\tilde{x}}_{ij} = \\exp(\\text{Cov}(Y_i,\\,Z_j)\\overline{z}_j)$. The integral on the right can then be computed using the formula above.\n", - "\n", - "### Advantage of Cholesky Decomposition\n", - "\n", - "There are a couple of reasons to prefer the Cholesky decomposition over the Eigendecomposition method. The first is that it reduces the number of computations required vis-a-vis the integrals that the number of unique integrals that need to be evaluated. Since $L$ is lower triangular, $Y_i$ is a function of $(Z_1,\\,...,\\,Z_i)$ but does not depend on $(Z_{i+1},\\,...,\\,Z_{n})$. As such, the conditional expectation problem can be reduced to:\n", - "$$\n", - "\\begin{align*}\n", - "m^{n}\\exp(\\mu_i)\\prod_{j=1}^{n}\\int_{\\underline{z}_{j}}^{\\overline{z}_{j}}\\exp\\left(\\text{Cov}(Y_i,\\,Z_j)z_j\\right)\\varphi(z_j)dz_j &= m^{i}\\exp(\\mu_i)\\prod_{j\\leq i}\\int_{\\underline{z}_{j}}^{\\overline{z}_{j}}\\exp\\left(\\ell_{ij}z_j\\right)\\varphi(z_j)dz_j\\\\\n", - "&= m^{i}\\exp(\\mu_i)\\prod_{j\\leq i}\\int_{\\underline{\\tilde{x}}_{ij}}^{\\overline{\\tilde{x}}_{ij}}\\tilde{x}_{ij}f_{\\tilde{X}_{ij}}(\\tilde{x}_{ij})d\\tilde{x}_{ij}\n", - "\\end{align*}\n", - "$$\n", - "The first implication is that calculating each conditional expectation requires the product of only $i$ integrals as opposed to $n$. Further, the conditional expectation of $Y_{i}$ depends only on the first $i$ standard normal variables, which means that only $m^{i}$ conditional expectations need to be calcualted, as opposed to $m^{n}$. While vectorization neutralizes the benefit on the first count, the computation of $m^{i}$ expectations which are copied over $m^{n-i}$ times as opposed to computing $m^{n}$ expectations really speeds up the process.\n", - "\n", - "Lastly, the approximation produced using the Cholesky decomposition also fits the true CDF than the one produced using the eigendecomposition, as seen in figures below.\n", - "\n", - "The rest of this notebook demonstrates the discretization output and the results obtained through its use." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import HARK\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "from matplotlib import cm\n", - "from scipy import integrate" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, we test a trivariate lognormal distribution. Each variable is mean-one and correlated with the others." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "Σ = np.array([[3.0, 1.0, 2.0], [1.0, 2.0, 1.0], [2.0, 1.0, 4.0]])\n", - "μ = -np.diag(Σ) / 2 # Create mean-one lognormal\n", - "\n", - "X = HARK.distributions.MVLogNormal(mu=μ, Sigma=Σ)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Use direct integral solution to test the expected value." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1.0000000002309708\n", - "1.0000000000008682\n", - "0.9999999999848911\n", - "CPU times: total: 828 ms\n", - "Wall time: 3.34 s\n" - ] - } - ], - "source": [ - "%%time\n", - "f1 = lambda x: X._marginal(x, 1)\n", - "f2 = lambda x: X._marginal(x, 2)\n", - "f3 = lambda x: X._marginal(x, 3)\n", - "\n", - "μ_1 = integrate.quad(lambda x: x * f1(x), 0, np.inf)[0]\n", - "μ_2 = integrate.quad(lambda x: x * f2(x), 0, np.inf)[0]\n", - "μ_3 = integrate.quad(lambda x: x * f3(x), 0, np.inf)[0]\n", - "\n", - "print(μ_1)\n", - "print(μ_2)\n", - "print(μ_3)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We now use the multivariate discretization tool to provide an approximation of the expected value. Note the improved time performance." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: total: 0 ns\n", - "Wall time: 106 ms\n" - ] - }, - { - "data": { - "text/plain": [ - "array([1., 1., 1.])" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time\n", - "N = 10\n", - "\n", - "X_approx = X._approx_equiprobable(N)\n", - "\n", - "X_approx.expected()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can look at the atoms of the discretized distribution. Note, there are 1000 $(10^3)$ of them, owing to the dimension of the distribution." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", - "ax = plt.axes(projection=\"3d\")\n", - "\n", - "ax.scatter(\n", - " np.log(X_approx.atoms[0].flatten()),\n", - " np.log(X_approx.atoms[1].flatten()),\n", - " np.log(X_approx.atoms[2].flatten()),\n", - " color=\"red\",\n", - ")\n", - "\n", - "ax.set_xlabel(\"$x_1$\")\n", - "ax.set_ylabel(\"$x_2$\")\n", - "ax.set_zlabel(\"$x_3$\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We now try discretizing the distribution with the same decomposition method but a truncation at finite endpoints. In this example, the underlying standard Normal distribution is truncated to $[-3,\\,3]$, such that the marginal CDFs of each of the random variables in the correlated distribution range from 0.0015 to 0.9985 in the range specified." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: total: 31.2 ms\n", - "Wall time: 185 ms\n" - ] - }, - { - "data": { - "text/plain": [ - "array([0.89439444, 0.95068046, 0.88488625])" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time\n", - "N = 10\n", - "\n", - "X_approx2 = X._approx_equiprobable(N, tail_bound=0.0015, endpoints=True)\n", - "\n", - "X_approx2.expected()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", - "ax = plt.axes(projection=\"3d\")\n", - "\n", - "ax.scatter(\n", - " np.log(X_approx2.atoms[0].flatten()),\n", - " np.log(X_approx2.atoms[1].flatten()),\n", - " np.log(X_approx2.atoms[2].flatten()),\n", - " color=\"red\",\n", - ")\n", - "\n", - "ax.set_xlabel(\"$x_1$\")\n", - "ax.set_ylabel(\"$x_2$\")\n", - "ax.set_zlabel(\"$x_3$\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We now attempt an approximation of the same distribution using the eigendecomposition method instead. Note that the atoms are similarly distributed, though they have been rotated to reflect the alternate construction. Another factor is that this approach is noticeably slower than the Cholesky decomposition due to the additional computations." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: total: 46.9 ms\n", - "Wall time: 277 ms\n" - ] - }, - { - "data": { - "text/plain": [ - "array([1., 1., 1.])" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time\n", - "N = 10\n", - "\n", - "X_approx3 = X._approx_equiprobable(N, decomp=\"eig\")\n", - "\n", - "X_approx3.expected()" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", - "ax = plt.axes(projection=\"3d\")\n", - "\n", - "ax.scatter(\n", - " np.log(X_approx3.atoms[0].flatten()),\n", - " np.log(X_approx3.atoms[1].flatten()),\n", - " np.log(X_approx3.atoms[2].flatten()),\n", - " color=\"red\",\n", - ")\n", - "\n", - "ax.set_xlabel(\"$x_1$\")\n", - "ax.set_ylabel(\"$x_2$\")\n", - "ax.set_zlabel(\"$x_3$\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now we test a bivariate distribution. One purpose of this test is to examine the approximate CDF values of the discretized distribution. The other is to compare the output from both constructions with the analytical CDF." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "Σ = np.array([[3.0, 1.0], [1.0, 2.0]])\n", - "μ = -np.diag(Σ) / 2 # Create mean-one lognormal\n", - "\n", - "X = HARK.distributions.MVLogNormal(mu=μ, Sigma=Σ)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([1., 1.])" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "N = 10\n", - "\n", - "X_approx = X._approx_equiprobable(N)\n", - "X_approx.expected()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Note that the plots of the two discretizations closely match the true CDF, showing that the algorithm is working well." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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AGRwcRDAYbMu+9DpuASO/r2oCprIGpp+uU4IgiGqQYCEIoiHumV8hRMNGea2KsGSzWSSTSQDA1NQUIpHIsdd5EunkgFZRFEeYAFbqoBQw6+vrWFhYQDAYLBMwfr+/Y/tXSbvNIY6K/M6qCRhd11EsFknAEARxYiDBQhBEXSoL65vp6t2KGpYXL17g4cOHGBsbw+TkJDkp9SiqqmJoaAhDQ0MAAMMwsL297RTwz83NIRKJlNXAkOPbQRoJGF3XAVS3USYBQxBEr0OChSCImrh7qxymY/1xIiymaWJ+fh4bGxv41Kc+hZGRkSOthyjHK5EETdNw+vRpnD59GgBQKpUcAbO8vIwHDx4gGo2W1cC0u16pFwf01QSM/FMsFknAEATRV5BgIQjiANV6qxxmkHPUGpa9vT0kk0n4fD5MTU0hFAodeh1Eb+Hz+TA8PIzh4WEAVjNQaaH8+PFjFAoFxGIxR7wkEomyQvXj4hUhd1zckU9VVQ8IGHcKmc/ncwTMYe9tgiCIbkCChSCIMmr1VjkMh42wCCGwtraGhYUFXLp0CRMTE5QC1kJ6aUDq9/tx5swZnDlzBoBlZZ1Op7G9vY2FhQXouo54PO5EYOLxeEsFTL9QT8AUCgVnGRIwBEH0AiRYCIJwkPnwR4mquFEUxRE8jSiVSpibm0M6ncbt27dx6tSpI22TqE+vRhKCwSDOnTuHc+fOOYNtGYF58eIFDMPAwMCAI2Bisdihxe5JGKA3K2Bk80oSMARBeAkSLARBOClg0gXsuIOUZlPCtre3kUwmEYlEMDU1hUAgcORtEv0PYwyhUAihUAijo6MQQiCXyzkC5vnz5+CcHxAw9a7lXhVyx6WWgOGcOwJGUZQDNTAkYAiC6AYkWAjihNOKFLBKGqWECSGwsrKCpaUlXL16FZcuXaJBUBvp13PLGEMkEkEkEsH58+chhEA2m3UEzLNnzwCgzIEsEon07fk4DrUEjGmauH//PsbGxnD69GkSMARBdAUSLARxQjlsb5XDUM/WWNd1zM7OIpPJ4MMPP0QikWjJNon6nIRIAmMM0WgU0WgUFy5cgBACe3t7SKfT2NrawtOnT6EoSpmAOQnn5SjI54GiKDAMwxEmpmnCNM0DRfwylayVzxGCIAgJCRaCOIEIIWAYBgzDANBcb5XDUCvCsrW1hZmZGSQSCUxNTVG/DaKtMMYQj8cRj8cxPj4OzrkjYDY3N7G0tATGGHw+H168eIHBwUFypquCTBOVf+TP3G6C8hlSWQNDAoYgiFZAgoUgThgyqiJrTNrhxlVZwyKEwNLSElZWVjA5OYkLFy7QIKaD0Lm2UBQFAwMDGBgYwKVLl2CaJhYWFpDNZvHy5UssLi4iEAg4FsqDg4MIBoPd3u2uU23ywR2BkcvIiZBSqVQmYGQERqaQEQRBHBYSLARxQnCngB3XBawR7ghLoVBAMpmEruv45JNPEIvF2rJNoj6U+nQQVVURCoWgKApu3LgB0zSdJpbr6+uYn59HKBRy0scGBwfh9/u7vdsdR6aM1oMEDEEQ7YQEC0GcANpRWF8PWcPy+vVrzM7OYmRkBHfu3Gl7x3KCOAruYvNTp0451tqGYTgC5tmzZ5ibm0MkEnHESyKROBFpjc0IlkoaCRgABwr4ScAQBFELGj0QRJ8joyqmaXbM0UcWOyeTSbz99tsYHR1t+zaJ2lBKWG3qRZ40TcPp06dx+vRpAFbPIOlA9vTpU2SzWUSj0TIB04+i/CiCpZJaAqZUKkHXdef3JGAIgqhG/z1ZCYIA0PreKs2Sy+WwvLyMUqmEqakpRCKRtm+TaAylhB0fn8+HkZERjIyMAACKxaITgXn8+DEKhQJisZgjYAYGBqCqapf3+vi0QrBUUk3AyMkVGYGpFDDShYwgiJMHCRaC6EM6nQImefnyJebm5jAwMADTNEmsED3BUe+NQCCAM2fO4MyZMwCsei0ZgZmfn4eu6xgYGHAK+AcGBnoyYtAOwVKJrG9xb1MKmGoRGLcLGUEQ/Q8JFoLoM2RUpd2F9ZXbnJ+fx8bGBj71qU/BNE2naR/RfWhQ1xmCwSDOnTuHc+fOQQiBfD6PdDqN7e1tvHjxAoZhYGBgwInAxGKxnhAwnRAslTQjYBRFOVDET9c6QfQnJFgIok+o7K3SKbEia1V8Ph+mpqYQCoXw6tWrMltjovtQSlh12nVeGGMIh8MIh8MYGxuDEAK5XM6JwKyurkIIUdbEMhqNenLA3Q3BUkmzAqayBqbb+00QRGsgwUIQfUBlb5VONGsTQmBtbQ0LCwu4dOkSJiYmnNniep3uCeIkwhhDJBJBJBLB+fPnIYRAJpNxIjDLy8tgjJUJmEgk4pkBt1f2Q+IWMPJZwzmHrusoFoskYAiizyDBQhA9TCd7q7gplUqYm5tDOp3G7du3HRtYSa1O90R3oEFafbpxfhhjiMViiMViuHjxIjjnjoDZ2trCkydPoKpqWQ+YUCjUlX31QoSlHm5baoAEDEH0IyRYCKJH6VZh/c7ODqanpxGJRDA1NYVAIHBgmcpO970KDWb6H68Ia0VREI/HEY/HMT4+Ds45dnd3kU6nsbGxgcePH0PTtAMCphN4XbBUUk3AyD/FYhG6rgOo3geml46TIE4SJFgIogfpVm+VlZUVLC0t4erVq7h06VLN7fZThKXXBmu16Jfv46SgKAoSiQQSiQQuX74M0zQdAfPy5UssLi4iEAiUCZhqkwetoNevHXeKrKqqBwSMOwIjC/g1TevYs5UgiMaQYCGIHkL2VjEMo6MpYLquY3Z2FplMBh9++CESiUTd5fulhqVfxEo/HEM76YXz404PAwDDMLCzs4N0Oo3nz5/j4cOHCIfDZU0s/X7/sbcr7+NecDNrlnoCplAoOMtIASMjMCRgCKJ7kGAhiB6hWylgW1tbmJmZQSKRwNTUFHw+X8PP9FOEhSC8iKZpOHXqlFM/ViqVsL29je3tbaysrCCTySASiZQJmGbu3UpOwn3crICRkRcSMATReUiwEEQP0I3eKkIILC0tYWVlBZOTk7hw4ULT2+2XGpZ+4iQMPI9Cv0TRfD4fhoeHMTw8DMCKim5vbyOdTuPJkyfI5XKIxWKOgBkYGICmNR4CyOumH85Rs9QSMJxzR8AoinKgBoYEDEG0DxIsBOFh3L1VhBAdeyEWCgUkk0nouo5PPvkEsVjsUJ/vl5SwfoEiXicPv9+PkZERjIyMAACKxaLTA2ZxcRHFYvGAgHH3OZGcRMFSST0BUywWUSgUoCiKIwoDgQAJGIJoMSRYCMKjcM5hGEbHU8Bev36N2dlZjIyM4M6dO03NwlbSDwNkGmicHE7Cdx0IBHD27FmcPXsWAJDP550IzPz8PHRdx8DAgCNg4vF42cTDSThHzVLZ50oKmG9+85u4ffs2wuFwVRtlEjAEcXRIsBCEx3D3VpHpKp14yXHOsbi4iLW1Nbz99tsYHR098rooJcx79LqAJFpLKBRCKBTCuXPnIIRAPp93IjBra2swTRMDAwOIx+Pd3lXPI5/RQgjHZcxtkCJ/X1kD06lnO0H0AyRYCMJDuFPAgM50rAeAXC6H6elpAMDU1BQikcix1tcPERagf2aV++U42kE/XKfHhTGGcDiMcDiMsbExCCGQy+WcJpYA8Cd/8idIJBJOBCYajdJ15UJGWWQURUZY3L8zDAOlUokEDEEcARIsBOERutFbBQBevnyJubk5jI2NYXJysiX2pe4XNb2ACa9D12g5jDFEIhFEIhEMDw/jT/7kT3Dr1i0nhWx5eRmMMcd9bHBwEJFI5ESfRxlRrnYODiNgZIRGppARBGFBgoUguky3equYpon5+XlsbGzgU5/6lFOc2wrk/pNg8Q4USSCOghyIx+NxxONxXLx4EZxz7O3tIZ1O482bN3jy5ElZn5jBwUGEQqETde8fpl9NIwEj1+OOvpCAIU46JFgIoot0q7fK3t4ekskkfD4fpqamEAqFWrp+eQxSgBGEVyEh15jKZ5KiKBgYGMDAwAAuXboEzjl2d3eRTqexsbGBR48ewe/3l/WAafUzxmvUi7A0opaAKZVK0HUdAAkYgiDBQhBdgnOOzc1NRCIRaJrWsd4qa2trWFhYwKVLlzAxMdGWl577xUt0n5M00020lmaipIqiIJFIIJFI4PLlyzBNEzs7O0in01hfX8fCwgICgUBZBCYQCHToCDrDYSIsjagmYGTKsIzAMMZIwBAnChIsBNFhZApYqVTCN77xDXzLt3zLkTpQH5ZSqYS5uTmk02ncvn3b6ZDdDtwpYYQ3oO+iNiToanOUtE5VVTE0NIShoSEAgGEYjoB5/vw5Hj58iHA4XBaB8fv97dj9jnGcCEsjZH2LxC1gdF13BI5bwHRqEowgOgUJFoLoINVSwDoxkNzZ2cH09DQikQimpqbaPrvpTgnrVYQQyGazCIVCVRvqEf0BCbn6tOL8aJqGU6dOOZMkpVKprIA/m80iGo06BfyJRKIjkzitRDqEdYJmBIyiKAeK+EnAEL0MCRaC6AC1eqsoitLWQb0QAisrK1haWsLExAQuX77ckZdWr0dYDMPAgwcP8OrVKydff2hoCIODg4jFYj334u+1/SW8QzuMM3w+H4aHhzE8PAwA0HXdETBPnjxxOsbLCMzAwMCRGth2Es551+6zZgVMZQoZPReIXsLbTwCC6APq9VZpp2DRdR2zs7PIZDL48MMPkUgk2rKdargbqfUae3t7uH//PoLBIKampmAYhtNQb2VlxbFzHRwcxNDQUM+4IfXid9EpeuH76xadcPrz+/0YGRlxnAqLxaJzzy0uLqJYLCIejzsRmIGBAc9FPTsZYWmEW8DI+55zDl3XUSwWScAQPQkJFoJoI3KWS4qSyhdauwb1qVQKyWQSiUQCU1NTXUmv6MVu92tra5ifn3cMCUqlEgKBAKLRKC5cuFBm5/r69Ws8fvy4zA1paGio74qJ+x0ScvXphjV5IBDA2bNncfbsWQBAPp93BMzDhw9hGAbi8bhz38Xj8a6LhW5GWOoh94kEDNHrkGAhiDbgDsnX663S6giLEAJLS0tYWVnB5OQkLly40NU0hV4ZDBqGgYcPH+LNmze4desWTp8+XXXfK+1c3W5IUuyEw2Enfcwrufg08CCOihd6KYVCIYRCIYyOjkIIUSZg1tbWYJqmE30ZHBxENBrtuIDpFQv3egKmWCzWtVHu9nVAnGxIsBBEizlMb5VWCpZCoYBkMgld1/HJJ58gFou1ZL1HpVOGAsclk8lgenra6UkTDAad3zUSXW43JBmR2d7eRiqVcnLx3TPB3Uxl6YXvgvAeXhAsbhhjCIfDCIfDGBsbc8wxpIB59uwZhBAHBEy7j8FLKWGHwS1gVFV1esAIIVAsFssiMLKAX9O0jvUMIwgJCRaCaCEyqmKaZlMP9FYJltevX2N2dhYjIyO4c+eOJwpUeyHC8uLFC8zNzeHixYu4du3asQcclcXExWIRqVQK6XQa8/PzKJVKGBgYcNLHerGAvx+h76A2XhMslTDGEI1GnbRNIQQymYwjYJaXl8vqzgYHBxEOh1t+TF5NCTss7hrLSgFTKBScZaSAkREYEjBEu+n+qIYg+gB3bxU509bMw/u4dR6cczx69AjPnz/H22+/jdHR0SOvq9V4uYbFNE3Mz89jY2MD7733nlPs22oCgQDOnTuHc+fOQQiBXC7nDKRWV1cBAIlEwkkha8dACqABeT28Lqq9QC9dP4wxxGIxxGIxXLx4sazubHNzE0tLS9A0rSwC0wrjjF6NsDSCBAzhFUiwEMQxOUwKWCXHSZvK5XKYnp4GAExNTSESiRxpPe3CqxGWbDaL6elpKIqCqakphEKhjmyXMYZIJIJIJILz589DCIG9vT2kUqmygZQUL4ODg2XpacfFi98F4X28HmFpRGXdGefcqTvb2NjAo0ePyowzjnrf9UuEpRHNChiZOkYChmgVJFgI4hjIqEq9wvp6HDUl7OXLl5ibm8PY2BgmJyc9ObPnxRqWV69e4cGDB544b4wxxONxxOPxAwX86+vrWFhYQCgUKhtIeaGAnzhZ9LpgqURRFOd+AlD1vgsGg2URmGac//o1wtKIWgJGFvEXCgUoinKgiJ8EDHFYSLAQxBGo7K1y1IfvYQWLO5Xp3XffxZkzZw69zU7hpZQwzjkWFhbw4sULz543dwE/gLL+L8vLy3jw4IHTTG9oaOhQBfw0MKgPnZ/a9JtgqaTafSebWD5//hwPHz5EOBxuOHFwUiIsjXALGACOgDFNE6ZpOkX8xWIR4XAYgUCABAzRFCRYCOKQVPZWqXxAH4bDCJa9vT0kk0lomtbRVKaj4pWUsMrUuXA43N0dahJN0w4U8EsBMz8/D13XDxTw15vh9cJ34UXovNTnpJ0fTdNw+vRpnD59GgAc5z/3xEE0GnXESyKRgKZpJzbC0gj5fpTnRgqYZDKJiYkJDA0NlaWQyf8f571K9CckWAiiSZrtrXIYmolCCCGwtraGhYUFjI+P4+rVqz3xYvRCStjGxgZmZ2cxOjqKyclJz3XHPgzuZnruXhSpVArPnz+HEKJsFjgSidALv0noPNWm3yMsjah0/tN13Zk4WFpaQi6XQywWg6ZpThShl58z7UYKEc45/H6/k0ZmGAZKpZLz+8oaGBIwBAkWgmiC4xTW16PRoL5UKmFubg7pdBq3b9/GqVOnjr3NTtHNCIvbPe2dd97BuXPnurIf7aJaL4pMJoNUKoWtrS08efIEmqY54kWmLhLEYTnpgqUSv9+PM2fOOGmlMvL5/PlzZLNZfPWrXy3rvRSPx0nAVME96VctAlNNwMg+MDKFjDhZkGAhiAYctrfKYaiXErazs4Pp6WmEw2FMTU01VfjpJbpVw5LP55FMJmGaZkvc03phwOa2ch0fHy9zQnr58iV2dnagqioWFhYwNDSERCIBv9/f7d32BN2OAnqdXrj+u4mMfBYKBYTDYVy5csWJwLx48QKGYRwQMDTY3hcslTQSMAAOFPCTgDkZkGAhiBrIQkHDMFqWAlZJNcEihMDKygqWlpYwMTGBy5cv9+SAoRsRls3NTczMzODMmTO4cePGiZ3ZrHRCWllZwZs3b6CqKpaXl5HNZhGNRh0L5UQicWLPFVEfEizNId8RoVAIoVAIo6OjZb2Xtre3sba2Bs65U3s2ODh4YpvH1hIsldQSMKVSCbquAyABc1IgwUIQVWhXClgllYJF13XMzs5ib28PH374IRKJRMu32Sk6WcPCOcfS0hKePXuGmzdvYmxsrCPb7RU0TYPf78e1a9cAWNdZKpVCOp3G4uIiisUi4vG4I2BO2izwSRwwNgsJluaoVnRfrfdSNpt1IjDPnj0DAMdCOZFIIBqN9v355pxDCHGkSZJqAkZmQei67vyeBEz/QYKFICo4bm+Vw8AYc0RRKpVCMplEIpHAvXv3er7nRqdSwgqFApLJJHRdx927dxGNRtu+zV7H7/c7BfyAlUYnBYycBZaDqKGhISrgP8GQYGmOZmyNGWOIRqOIRqO4cOGC0zxWmmc8ffoUiqKU9YAJh8N9d/7le6EVIkLWt0jcAkamkFUKGOlCRvQWJFgIwsbdW0XOlrX7oSYjLEtLS1heXsbk5CQuXLjQFw/TTqSEbW1tIZlM4vTp07hz5w40jR5ptaj3XYRCIYyNjZUV8Lt7wLhTzIaGhjxvqX0YqIalMf3wPGo3R7E1djePlbVnUsBsbm5iaWmpzDxjcHAQwWCw57+PVgqWSuoJGBmBURSlqgsZ4W3o7U4QsB6ghmG0PQWs2nY3Nzfh8/nw8ccfIx6Pt32bnaKdKWFCCDx58gTLy8t46623cP78eXrh1OEw58ZdwH/x4kVwzrG7u4t0Oo1Xr17h0aNHCAQCjngZHBzs+QJ+unZqQxGW5uCcH7sOTFEUDAwMYGBgAJcuXYJpms699/LlSywuLsLv9x8QML1GOwVLJc0KmMoUMrrmvQcJFuJE4354yRdzpx5Um5ubWF1dhd/vx927d/suOtCuCEuxWMTMzAzy+XzfiTwvIlNUEokELl++DMMwsLOzg1QqhWfPnmFubq5qIz2iPyDB0hztaBypqmqZeYZpmtje3sb29jbW19exsLCAYDBYJmB6YfJAps9147pyCxj5fuKcQ9d1FItFEjAeht4qxInFnQIGHK9j/WFw9wg5c+YMDMPoywFeO2pYZJ3P4OAgbt261dbz1m8vqFaJR03TcOrUKacnkLuR3uPHj1EoFMpsXAcGBjxd8EopYfUhwdIczdSwHBdVVcvuPcMwsL297RTwz83NIRKJOBMHg4ODnqyFbEU0qhXI74sETG/Qf6MkgmiCdvZWqUcul0MymYQQAlNTU9ja2sLr1687su1O08oIixACT58+xdOnTzta59MvL6V2HkdlI718Pu8ImPX1dZimiUQi4aSPnQQXpH6CBF1ztCPC0ghN03D69GmcPn0agNVoWFooLy8v48GDB56MfjZradxp6gmYYrFY10aZnmntp/tXLkF0kE70VqnFy5cvMTc3h7GxMUxOTkJRFKTT6b4dELSqhkXXdczMzCCbzeKjjz7CwMBAC/bu5NGp66yyD4W0cU2lUk4Bv1vAhEKhrr/su719L0MRluboRISlET6fDyMjIxgZGQFgpc/KCIyMfsZiMUe8dKv/kpwo9DpuAaOqqtMDRghxQMD4fD5nORIw7YEEC3Fi6FRvlUpM08T8/Dw2Njbw7rvvOjPRch+60Q2+E7QiJSydTiOZTCIej2NqasqT6Q1EbSptXKULUiqVwsbGBh49egS/3++Il8HBQQQCgW7vNuGCBEtzdCPC0ohAIFAW/SwUCk70c2FhAbqudyV906sRlka408YrBUyhUHCWkQJGRmA6OTHaz5BgIU4EMie101GVvb09JJNJaJqGqampA3aw/S5YjjqrL4TAysoKlpaWcO3aNYyPj9MDvw9wuyBdvnzZKSJOp9N4/vw5Hj586OTgDw0NdSSFpV8jnK2CBEtzeCHC0ohgMIhz587h3LlzEEIgn88799+LFy9gGAYGBgYcAROLxdoiLHpVsFRCAqazkGAh+hqZAiZdwDr1oBBCYG1tDQsLCxgfH8fVq1erPqBJsBykVCphdnYWu7u7+PDDD5FIJFq/c03SLy8Vrx5HZRGxzMGvlsIyNDTk+QL+foQES3P02iCcMYZwOIxwOOykb+ZyOef+e/78udNAVhbwx2KxllwLpml6oui+1TQrYCp7wJCAaQ4SLETf0q0UMMMw8ODBA6RSKdy6dcspiKxGp7rBdwNFUZxz3yw7OzuYnp5GNBrF1NRUT1h09gq9EEmozMGXKSypVApzc3PODLBMIWvVAIoGC7UhwdIcXkwJOwyMMUQiEUQiEZw/f95pICsjMCsrK2CMOeJlcHAQkUjkSNdGr4m7o1JLwHDOHQGjKMqBIn4SMNUhwUL0Je6oSif93uWAOxwO4969ew3z8dvZXLHbHEaMCSGwurqKR48eYWJiApcvX/bEA7tfv5teoTKFJZfLIZVKlQ2g3D0owuHwoa8b+o7rQ4KlOXohJewwuBvIyvqzTCaDdDqNra0tPHnyxOkTI0VMs/ffSREsldQSMKZpwjTNmjbKJGAsSLAQfUW3equ4ay4OM+CmlLD9iFQ6ncadO3cwNDTUgb07WfTDy849A+wu4E+n09jc3MTS0hJ8Pp8jXoaGhqiAv0X0w/XTbno9wtIIRVEQj8cRj8cxPj4Ozjl2d3eRTqfx+vVrLC0tQdO0sgmEyppNyUkVLJXI8Yk8F/UEjHQh0zSta003uw0JFqJvkL1VpADo1ANR13XMzs5ib28PH3zwgdOVuBn6WbA0Ez3a3d3F9PQ0QqEQpqamaIDZRvotkuAu4L906RJM08TOzg7S6TTW1tYwPz+PcDjspI8lEomaLnMn8eXfLBRhaY5+i7A0QtqTJxIJx0BDCpiXL19icXERgUCgTMDI5zsJlurUEzAvX75EJpPBxMTEgRqYkyJgSLAQPY/MCZVipZPhU9l5PZFI4N69e4e23e1nwVIvJcxtSnD58mVMTEyciAcu0T5UVcXQ0BCGhoYwMTGBUqmE7e1tpFIpPHnyBLlc7oCFq0zLIGpDgqU5+j3C0giZHiYn7AzDcCYQpANgOBxGIpFAqVSia6oJ3ALGMAzoug7GGAzDcM6hLOJ394Hp1+uQBAvR03SrsF4IgSdPnmB5eflYndf7uei+VkqYYRh4+PAh3rx5g9u3bzsOUUT7OImDA5/Ph+HhYQwPDwOwmujJ+pf5+XmUSiUMDAygUCggn8/TwLwGJOia46RFWBqhaVqZA6BhGE4B/+bmJkqlEr7xjW84IqdeBJTYd1aTRfrAfgTmpAgYEixEzyKjKrJrbqdeFoVCATMzMygWi/j4448Rj8ePvK5+L7qvPLa9vT1MT0/D7/djamoKwWCwS3t38ujX66xZAoHAgQL+dDqN5eVlrK6uYm1tzSkeHhoaOlIBfz9CQq45TnqEpRGapuH06dM4ffq0M0k3ODiIdDrtREBjsZhzD3aiB1MvUc0KulYKmRQwAA4U8PeygKGrgeg5ZE6nYRgdTwHb3NzEzMwMRkZGcPv27WM/UKVg6cdBQaUYW19fx8OHD+v2pfEa/fKd9MtxtAp3Af/r169x7tw5RCIRpNNpvHnzBk+ePHEKiGUNzEkV1/34bGoHFGFpHs45AoFAmYV5sVis2YPJncJ5Ummmd00tAVMqlZx0ss9+9rP4+Z//edy7d68Tu91SSLAQPUW3UsA453j06BGeP3+Ot99+G6Ojoy1Zr3ywcM777mEs091M08TDhw/x+vVrvP/++06KDkF4ATkgdzsgyQLiVCqF9fV1LCwsIBQKlRUQn5T0FRIszUERluapVnQfCARw9uxZnD17FsB+DyaZwqnrOgYGBpwIzElrImua5qH7klUTMMvLyz173kiwED2D7K3S6ahKLpdDMpkE5xxTU1OIRCItW3e/CxbDMPD1r38dmqZhamqqps0l0X5OekrYYahWQCwHT8vLy3jw4EHZ7G8ikei7+1dCgqUx0viFzlNzNPO+q+zBlM/nnXvwxYsXThNZeQ/GYrGeHYg3QzMRlmbIZrOIRqMt2KPOQ4KF8DyVvVU6KVZevnyJubk5jI6O4q233mr5A9EtWPqN3d1d7Ozs4NKlS7h+/XpPvkxoAHIyaPQ9a5p2oIBfDp4WFhac2V+ZQtZPgycSLI2RkwH98p23m8PaGjPGEA6HEQ6HMTY2VlaDlk6nsbq6CiGEE30ZHBxENBrtq+u2FYKFc06ChSDaRWVvlU75jZumifn5eWxsbODdd9/FmTNn2rIdeSz9JFhM08TCwgJevHiBcDiMt956q9u7dOLppxd3qzlK5MmdvuKe/U2lUnj+/DmEEGXpY5FIpGe/AxIsjSHBcjikUc5RcdegnT9/HkIIZDKZsigoY6xMwPTyPQi0RrDkcjkAIMFCEK1E1qrs7e0hFAp1NKqyt7eHZDLZkTQmKcD6JV0nl8thenoajDFcv34d6+vr3d4lwqZfrjGvUW32N5PJIJVKYWtrq6yAv1EHcC9CgqUx7gk1ojGtbhzJGEMsFkMsFsPFixfBOT9wD7rTPOU92EvfVyvSxrPZLAASLATRMqRY2draQjKZxLd+67d2rLeKbGbYSSerfmke+erVKzx48ABjY2OYnJzEmzdv+mKQ3A/HQNSnlc8X9+BpfHwcnHOngZ7sAB4MBp30sUQicehi2k5CgqUxFGE5HO3udK8oimOiIbe3u7uLdDqNjY0NPHr0CH6/vywC4/VJhFZEWLLZLHw+HwKBQIv2qrOQYCE8hbu3iqqqHStkNAwDDx48QCqVwq1bt3D69Om2b1PS64KFc47FxUWsr6/jnXfecVxe+iFy1Ov7L6EBZ/dQFOVAAb9soLe8vOzklLsFjJcK+EmwNIYiLIej0yYziqIgkUggkUjg8uXLME3zwCRCIBAoi8B4bVDfKsHSy6lxJFgIT1Ctt4oULO1mZ2cH09PTCIfDuHfvXscfVL0sWPL5PKanp8E5x927d8sc1KStMUF4mU6LUncDPQDQdd2pf1lcXESxWEQ8Hnf6v8Tj8a7P3PfqAKdTSFFH56k5jlvDclxUVcXQ0BCGhoYAWJMIUsA8f/4cDx8+RDgcLnMB7HYUtBXnLJPJIBwOt2iPOg8JFqLr1OqtoqoqTNNs2wyfEALPnj3D48ePMTExgcuXL3flhdOrA/vXr19jdnYWZ8+exVtvvVW1C2+/RCj6AfouvInf78eZM2ccY498Po9UKoV0Oo21tTVwzrvqfkTXTWPI0vhwtDsl7LBomoZTp07h1KlTAIBSqeREQVdWVpDJZBCJRMoETKf7MLUqwtKr9SsACRaiy9TrreJudtTql4Gu65idncXe3h4++OADJ12jG1R2hPc6nHM8fvwYq6urdZto9tpx9TM0mKqPl85PKBTC2NhYWQG/2/3InWI2NDTU9tx7aojYGDpHh8NrgqUSn89XZmOu67ojYJ48eYJcLlfWh2lgYACa1r7hNOccQghKCev2DhAnE3dvFfmwr7yJ3D1KWvlwS6VSSCaTSCQSuHfvXtc7VvdSSlihUEAymUSpVMLdu3frztZQhIXoBbx8jVZzP5LFw69evcKjR4+c3HuZQtbq1BWqYWkMRVgOh9cFSyV+vx8jIyMYGRkBUN6HSaZxVgqYVtboyOyTVgmWXoUEC9FxOOcwDONAClgl8uY0TbMlsxdCCDx58gTLy8uYnJzEhQsXPPGS6RXB8ubNGySTSYyMjODmzZsNH569murWr3h5YE40R2XxsMy9T6VSePbsGebm5hCJRBzxkkgkjv3spOumMRRhaZ5WRQu6ibsPEwCnD9P29jbm5+fLGsm2og5NvkdJsBBEhxBCOC5gzRQptrKpYqFQwMzMDIrFIj7++GPH7tALeF2wCCGwtLSElZUV3LhxA+fPn2/qc/2QEuYFQdsK+uU42kWvnp/K3HtZwJ9Op/H48WMUCgXE4/Gymd/DDpwowtIYirA0j3zX9ZPAC4VCCIVCGB0dLWskK+vQTNMsEzCxWOxQxy8L7o97jWUyGaphIYhGuFPAgOY61jPGoCiKE4k5Kpubm5iZmcHw8DBu377d1lzTo+DlSESxWEQymUSxWMQnn3yCWCzW9GcpJYwgOku1An45cFpfX4dpmkgkEk4EppkCfhIsjem1FKdu0o+CxU21RrLZbNaJwKyurkIIcSgjjVYU3ANUdE8QDXH3VjnsLMFxrI0553j06BGeP3+OmzdvYmxs7EjraTdejUTIxp2nTp06ktDzshA7iXjxGvMC/XxeKmd+5cAplUo5BfxuAVOt+zcJlsZQSljz9LtgqYQxhmg0img0igsXLlQ10mCMlfWACYfDZfdcq2ygc7kc2RoTRDWq9VY57IvvqOlSuVwOyWQSnHNMTU15Om/TaylhQgg8ffoUT58+PVatTz9EWPploNYvx0EcncqBE+cce3t7SKVSZd2/pXiRzfNIsDSGUsKa56hjgX6hmpHG3t4e0uk0Njc3sbS0BE3TyiIwhmG0LMIinc96ERIsRFuo1VvlsBwlJezly5eYm5vD6OgoJicnPV/c5yXBous6kskk8vn8sWt92mlLTRyeXheP7eQkXp+KomBgYAADAwNO929p3Sqb50UiEZRKJezs7CAWi3kundYr9FOEpdpTQv6MgdVZCmjmLqL0uXLc9+GlS5fAOcfOzg62t7ediQQ5hnn58iUSicSRrcwzmQyuXLnSyt3vKPT0IVoO5xy6rrdkJuUwKWGmaWJ+fh4bGxt49913nTxur+MVwZJOpzE9PY1EIoG7d+8e2+5Zfu+9Llh6ed8JollUVT3QPC+dTuPhw4dYX1/H8vKyY906NDR0pAL+fqUXIiziwB9W9m8VDKhxDMwWZPWmPFSFWR8XcnvC/rv9f9eEid8fOO7h9C3uPktyImF5eRkbGxtYX1/HwsKCY2XujoQ2Qz6f93S2SSNIsBAtQ6aASRewVoR9mx3MZzIZTE9PQ9M0TE1Ntb2ZWivpdq2HEAIrKytYWlrC9evXcfHixZa8fN0ubzSwIbwKRZ6q4/P5MDIygkePHuHdd9+F3+936l/m5uZgGAYGBgacFLJYLOb5QXu78FqEhQuAAzAFYNr/VpXqgoQBUIE6YqV+vQmDfNe7Vgg7GsPsHwhAsRcIRSK4ev06NJ/fFjUCQlgChwkBYf8hLFRVRTAYRDQaxXvvvQfDMLC9vY3t7W0nEhoOhx3xkkgkavZiymQyJFgIolUpYJU0SgkTQmB9fR3z8/MYHx/H1atXPfXiaIZuFt3ruo7Z2Vns7e3hww8/RCKRaNm63SlhRHc5qQPJZqHzUxsZIQ0Ggzh37hzOnTsHIQRyuRxSqRTS6TRWVlYaFg73M92OsBhC2OKEwRTlCVsMgKYoUjfYekI46Vuq/JsQrk/Yy7BqYkW4VwRFYZbocD4r/2YLFiGgsP11uCPuzI7qMCbAlIrUbZd4kS0RcELfJZxzJy1M0zScPn0ap0+fBmBFQmUq5/LysuMENjg4CF3XcebMGWfZbDZ7KKdPr0GChTg27qhKM3bFh6FeSphhGHjw4AFSqRRu3brl3JS9RrdSwra3tzE9PY1YLIZ79+4dOwWsEndKGNF96HsgjkK1lE7GGCKRCCKRSFkBv7tw2OfzOeJlaGio6bSVXqTTERYuBEoCKHFA5wKqfO9a2gEMVsBEgYysCAhXBYoUFiqrvc8Kar3Lre1YYoY5QZSy30uEbb5iixwBu72BPV6QOWRVz519TJbmsRtNMlYuZOwmlP3+bKtna+zz+TA8POwU08teTNvb2/jVX/1V/NZv/RauXbuGTz75BC9fvmzJdfrVr34VP/dzP4dvfvObePnyJX77t38b3/M931P3M3/0R3+EL37xi5ibm8OFCxfwUz/1U/jc5z53qO2SYCGOzFF6qxyWWoP5nZ0dJJNJhEIh3Lt3r6dfhp0WLEIIPHv2DI8fP8bVq1dx6dKltswOtrLxZ7colUrIZDI9n+7Sy/vebvp9sHNcmjk/lYXDpmliZ2fHaZw3Pz/vpK0MDQ0hkUi0fIKkm3QiwmJyjpJg0DlQciIagJ8xMIUdCKsoANTtNJS5OSgvX0H4NIjLV2C+/TYUvwZWV6zUf2YoAJjCUPeIXWlgcp8YrN5q/kDAXr8thoUoj56w/fQ1Ic+tXJdLyEAO4l2f57aI6eX3TiWH6cPi7sX0a7/2a/jxH/9x/N7v/R6++tWv4tWrV/jrf/2v45d/+Zfx7d/+7fi2b/s23L1799Ap9NlsFu+99x4+//nP4y//5b/ccPnl5WX8pb/0l/CFL3wB/+pf/St8+ctfxg/+4A/i3Llz+PSnP930dkmwEEdC9lZpt6d6ZUqYe7A9MTGBy5cv9/xgTFEUlEqljmyrVCrhwYMH2NnZwQcffIDBwcG2bavXIywyAlUsFqFpmjPYkv0qCOIkcBTTDFVVMTQ0hKGhIUxMTDhpK6lUCk+ePEEul0MsFnPup4GBAc+7OdajXXV6QggUTIECt2pSrDoPQOoTza5LEcB+YIMBKgPU9Da03/8DoKRbg3xdB3swC+3xYxj/0/fWKlmpW88CWNtuJFaYqC14hCzEhwBzn7MqyztCUAoSt3BxrZABzrrc34M7nUwKmV7kOI0jL126hB/5kR/BD//wD2NiYgL/9J/+U6TTaXzlK1/B93//92Nrawt3797Ft3/7t+O7vuu7cOvWrYbr/OxnP4vPfvazTe/Dl770JVy+fBk///M/DwC4ceMG/viP/xj/+B//YxIsRPuQN78UK+32U3enhLnrLdo92O4knSq639nZwfT0NCKRCKampmoW5rUKGXHrtZeEEALPnz/H4uIiJiYmcPbsWWSzWaRSKbx8+RKLi4sIBoPOgKxXZot77XvoJL0+6dFOWuHyV5m2UiwWnfqX+fl5lEolDAwMOJMCvRbRbLUTYokL5AyOnCmggMGnMiiwhvmcWYX0/hpF9JodcVH/259C2XgFYVtRM8aAfA5KIAh1eRl8YmJ//2EX3x/M76o8UgAMggt3Gcs+dhSl3rngnAOcl4uV6gvuiw/3+uznmHyeKXUyO+Q7iDHmWHLLMYz7/17HNM2WvK+z2SyuX7+Ot99+G5///OchhMDjx4/xh3/4h/jKV74CIURTguWwfP3rX8d3fud3lv3s05/+NP723/7bh1oPCRaiadpVWF8PmS6VSqWQTCaRSCTaUm/RTdpddO8egF+5cgVXrlzp2GCg2w5oh8U0TczNzeHNmze4c+cOEokEdF0v61chXVrkbHE+n3dmi4eGhhCPxz1n/NBLg79O0wsDlm7SDlvyQCBwoIBfdv5eXV0FAKdx3tDQkOcL+FsRYRFCoMAFsoZAkQsosMSHwhjcT1AGwCfFinAZcQkr4sIUu6B9Zwf81ClAs96VytYWcOEioJfAUmlgonydjcSKFdwoP8ayO8eOdIAB3LE0rlgHBLhpQGvw/hb1BI1TsI/91DAcvI9r2eozxg5EKzjnzrjGi++r40RY3OvI5/OIRqPOzxhjuH79Oq5fv44vfOELx93Nmrx69epAm4kzZ85gd3cX+Xy+6YwFEixEU8ioimmaHe1SyxjD1tYWVlZWjtV13cu0s4ZFGhOk02ncvn3b6bHQKXopwpLNZnH//n34fD5MTU0hGAxW/V4qXVoKhYIzWzw7OwvOORKJhCNgvD7YIohayHu3ndevu4D//PnzEEI4Bfxv3rzBkydPDqRkBoPBtu3PUThO0b0QAnslEwUOGHYBvQJblIBB7Jt2gTHAr9o/t0Mc8unqU5iVryUX13xgegkCAloqBQyf3u+RUtEAtDmxUucaEMKqV3EvUrm4sFakqCpMkx94tkoBIoRoHH2RaWBl+1g9pQwNlpE/d0+Cei0K0wrBks1mAaBMsPQaJFiIusjeKoZhdCQFzE2hUMDm5iYMwzh213Uv0y7Bsre3h/v37yMYDGJqaqorxgTdtGw+DBsbG5idncXY2BgmJycPNfgIBoMYHR3F6OgohBDIZDJIp9PY2trCkydPHLckKWDanYpXi174HroFCcrqdEKwVMIYQzweRzwex/j4OEzTxO7uLlKplNM4T6ZkSheybkfc3bazzSKEwE6JY1c34VeZ7eHFYAAI2DbETMBJBWMMUN3NG11fia9Kepi4chmYmYG2tQMMDwOGARSL1v6eP2+tUwjLRayeWMERxMqBZWzRA7bfo63KB2Q0RNg1K5aOqji2JqNZtaJe7uegI5CquOBVfp+maXZNwPS6YDl79iw2NjbKfraxsYF4PH6oelASLERNupECJtnc3MTMzIzzYupXsQK0R7BIZ55Lly7h6tWrXRuQeT3CwjnH48ePsbq6infffRdnz5491voYY4jFYojFYrh48aLjlpRKpZwmX9IjX9a/dKLYmAbktfHy9dltuiFYKlFV1REmgBU1luljy8vLePDgAWKxWFnjvE4X8B8mwiKEwG6JI10woDAGn6ZA2soIACFFcYrqZb2KyhjUGqLAEiuw+9bvw2/ehP/xIzDOIYpF6zsMBGC+9z4wfNpKA2uwz5ZYQe3+J82kC7rEijz+mk0q7f1xhIprO4Bl56ygcZpive/D/bkygVTl9+7lqqWRuVPJ2slRBHEl2WwWgUCgK+L+7t27+N3f/d2yn/3+7/8+7t69e6j1kGAhqiJ7q3Q6qsI5x6NHj/D8+XPcvHkTxWIRe3t7Hdl2t2hlnYdhGHj48CHevHnjid40Xq5hKRaLSCaTKBaLuHv3bltmntxuScC+R34qlcLCwgJ0XS/L1e+1YmPiZOCla1LTtAMF/FLAyHuqsoC/3TVlzdoaZ0sm3hQMx+GLqQo4rCgKBOBXFQhbpEhkHQsg3bekxxbgc9v/uj7DACiBAMz/6a+AP38O5fVrcE2DGB+HsJ9FaoP9bSoNTK04r3avFWcvhDwvlY0jDzajrJsGZosKxT5egYqJBlcPuGZrrsoaWFZGp2rUw7hRFMVp6dBuWhVhiUQiLbmXM5kMlpaWnH8vLy9jenoaQ0NDuHjxIn7yJ38S6+vr+M3f/E0AwBe+8AX8yq/8Cn78x38cn//85/GHf/iH+Lf/9t/id37ndw61XRIsRBmVvVU6KVZyuRySySQ455iamkIkEsHKyopnB7ytolVpU5lMBtPT02U1GN3GqxGWdDqN6elpDA4O4vbt246DTLtxe+QLIZDP55FKpZBKpfDs2TMoilLWbK+V9sle/B68gpcG5F7CCxGWRgQCAZw9exZnz5517ik5KfD8+XMIIZyassHBwZYN2tw0KrovGCa2CqbVkR6W0FAUq1aFC0ughGyxAsAZgKuw6kukbbEUKgDgs9PGKmFwWRMzBjE+DnN8fP/3TUSDmhIrSvWNuyMpiqLuF8Xbe17SS1BV1Y602FKmyZqVsqhLxd+liGE4mPZ1cHX1RU1lwX619em63rFnaisESyaTQTgcbsn+/Nmf/Rm+7du+zfn3F7/4RQDAD/zAD+A3fuM38PLlS8c8AwAuX76M3/md38Hf+Tt/B7/0S7+E8+fP45/9s392KEtjgAQL4aKyt0o7GkHW4tWrV3jw4AFGR0cxOTnp3Jzd6gLfSVpxjC9evMDc3BwuXryIa9euecalyms1LO4+PteuXcP4+HhX0+XC4TDC4TDOnz/vdAtPpVJ49eoVHj161DL7ZC8POAnv0guCxY37nhobG3NqylKplFNTJgv45Z9WTArUGgCbXOB1voQiFxCOMLEiJqYATDtqENIUSwTYiV0cgMYsVy5RsVoGQGsgVkSVfWHyu1Qqk8f2PwscQ6yULSKgMKWiBt/6l6pp8Pk0gLF9zcG5tc/u603+kvPGgkbuVw1xUslxIjBCCOi63nh/Wog0OzoO2WwW0Wi0Jffyt37rt9Z9r//Gb/xG1c/cv3//WNslwUJ0vLeKG9M0MT8/j42NDbz77rsHrO9UVe1Ijmg3OY5gcZ+/999/30mT8ApeSglzO6Z5sY+Pu1t4r9on9yJeEtReo9cESyXumrLx8XFwzrGzs4N0Ol3WU8ktYI5iilEtwrJTNPA6r0NTVJiwIgkhOwWM25ecCiCoMnABCJfll09RqooCIaR72EHbYMs0jIHXqTlR6hTYc1gOZUxuqBpCOLbJtagmVg4chKgQRnK7FXUrXEZWqkVYyna+doTrqDUrtX7eabECtDYlrJchwXLC6WZhvUxh0jQNU1NTVWe6KMJSm2w2i+npaSiKUvP8dRuvpITJa83v93fNMe2wVLNPlqkuR7FP9sL3QPQW/XbNuFMuATiTAul0GisrK5ibmyszxRgYGGgqXdRd5G1wgfVsEbpppUQBllgJ2GLFKna3xIWqMJgVQ3t/RY8V9zegKXZPlipfi1ZHSDBYYqV2f3pbrByxZsXZz0ZiBYDJTfiZr+E4o2rhvO0eZqXISV81NLZBRv2aFfl7pxllDXexbogV6UpGgoUEy4mmW71VhBBYX1/H/Pw8xsfHcfXq1ZqzIydBsBwlCiFT6M6fP4/r1697dqbdCylhr169wuzsrOfS5Q5LMBgsa7bnVfvkXqRXIwjtptcjLI2onBRwm2IsLi6iWCwiHo879S+1opqy6H67aOB1vgQA8KkKhAAMYaWBWTUpAqbYFysy2iGTtGQRvagIoCgM9vI1juOYYqVet3hrkcY1K6hWsyJk5Gd/ecE51AYisGbjSPv8OOuzU8kcG+Qax9FMIX6lmKl8b3VDrABwJpNJsJBgOZF0s7eKYRiYm5vD1tZWUy5WJyUlrNlBPeccCwsLePHiRdUUOq/RzQiLdJxbW1vDpz71Kc+fq8NwWPvkbvepIHqTfhcslbhNMQA4phjpdBpra2tOVFNGaWRNgCEEtkwFSlaHT2HQVAUlLgAOxAIqOKx6FcBK6VLs+g1ZIM7B4FdYWVqY5DBipfJJa0UfaqeBHUuslC1So2aFwSVgrP9ye/whJ+mk85ezrnpd7t1U1rZUuofZ9skMh69ZAcqFS7fECrDf/LIVgqWXm0YCJFhOHN1MAdvZ2UEymUQoFMK9e/eaSss5CRGWZo8xl8thenoaADA1NdUyx4920q0alkKhgGQyiVKphLt37/b8zFIj6tkny5liIQRWVlbIPrmCbkcAvUyzFrH9SigUwtjYWFkBv7sHjKIoCA6ewo4SgmkAI6rVU8UUAn7F6rFiOJeXgI8p8NlpXULYA2wwBKRYqYCxckHC7HiFXGWlNTGr+Ls7srJ/ldsiVLZDcVKhZGKX/X/rlw0j0g1rVrAvVhgYFEWBpmouNzF5D+5HSRqKlnqF+G7RgeoRk2o2xtWuc5mF0k1alQFDgoXoKbrVW8XtzDQxMYHLly83vW0SLBayE/vo6Cjeeuutnklr6kZKWCqVQjKZxKlTp3Dnzp2OWRZ7iUr75FQqhZmZGezu7uLZs2dgjDlpLq22T+5FTvKgvB4nXbC4qRbVXNrcxmauCL67g9xOGuvFHEJ+P0KhEOKRCLiwOskzJhs/MnDX0F7AqlnhgsHdrF4IK7KiVDh6uUXNYdPAyv8m7G1VOoYx5//M7peyLygq1mP/5TBiRR5bZfG89AlQ3FEEIfY/L69DxppzDbOL9KtFTPYXEc717VWxArSm4B6wBEsvTHLW4+S9yU8g7t4qspCtUy8hXdcxOzuLvb29IzkznZSUsFqCxd1I85133sG5c+c6vHfHo5MpYTKCsLS0hMnJSVy4cIEGW7C+g1AoBMYYPvWpT7XVPpnoL0iwVKfEOZ7t6TD9IQz5guD5HE6dGgJnKkrFAgrZLPZSKfgDAQRDIUSCAYRCof0GkPYw3u9SKVY6k7V+KVZqodX5ThrXrKDu7+T+MeayTnanbDl/EbagEuCiIrpj17ZUihXrYwebbIpqBf3Oudr/u5DvSXejzspzUUWsVD3GKjUrbhcxL4gVoDWWxoAlWHpt/FAJCZY+h3MOwzC6kgImZ7oTiQTu3bt3pEHQSYiw1EqbyufzSCaTME3TaaTZa3QqJcwwDMzOzmJnZwcffvghEolEy9bdbwO2w9gnDw4OYmBgoGciekeBUsJqQ4LlIBndwOpuAYqqwjA5YkENTNMgFBWxYBCBWNjqscI59GIRRiFvTRBsvUHA70cwFEIgGEI0GICAcviaFVn8UoXmxEpZGXz1ZepsA8CBnicHNAPsontu2SA795htKFDmXowqYqUatdLEpHMYY85+HbVmRb6vvCJWgNZGWCgljPAk7t4q9cKe7dr2kydPsLy8jOvXr+PixYtH3rYULP384pSDQbeX/+bmJmZmZnDmzBncuHGjJQ+sbtCJCMve3h6mp6cRDAYxNTXVFnesfrj+an0P9eyT19fXD22fTPQX9F3vs5nT8SpXclJdI34NJVNAmCYCCoOq7tesqIqCRCQMJRYFh4BhmCgWiygWi8i/2cSupiHg91tRmEAAPp8PCrPdw2TEQqaI2f9V7Cr2ynoUCQMDuCUCZGd56eQlYNetKO41uqIYNlaNfoMi/EaCxt6EM9HhWtY0TSeaIQRv6t1Wt6ZFOofZSsgpvLf/XauZpJfTwNy0SrDkcjkSLIT3cKeAAeioWCkUCpiZmUGhUMDHH3+MeDx+rPXJG5Xz5h5svYh8qEuRubS0hGfPnuHmzZsYGxvr8t4dj3bXsLx48QJzc3O4dOkSrl692pbrvB/EymH2/yTaJ/f699su+uHabwVCCKzu5rGrczCFQbWjIIrCwASDwgRUVYPVz0SBgLAsihWr9wrAoGkaVE1DIhYFcAp6yUCxkEchm0V6awsMQDQaQSgcRjAQhKqpYGI/XUxTZA2Mm33BoQLOgN39O/l5BlTtci+jIczp+8IAYW+FMQCujvQCzYuVGteNJcrs/jSKWl50L/fT5RwmhGjsGiYFSoVrGAC7b035WekVsQK0TrBkMpmezNJwQ4Klz3D3VmGMdTSVQ0YFhoeHcfv27ZYUO7ujD/0uWPL5PObm5hxnq16fDQHaF2Fx2zu/9957GBkZafk2iNr2yel0uqp9ciKR6Nv79CRCgsUaMD7ZzqMkAE1VwCHgVxUIMJS4QEhV4FNVKMySBYYQCKpVUq9t5zAGaxCtaRq0WAyRWMxKaTJKKOo68vkCdnZ2oSoKAsEAAv4AwkE/oNZOqZZipRZOTUrV31n/ZcztQOYO7QgrWAEATEAI5lJAVZLP6ogVGfcRFVGcyjiPpT+szAoFDIKJMhFTvlLRWNTY6WIAnL4twlXr4qWalUpamRIWi8VasEfdgwRLn9DN3iruwvBWRwXkYN40zb4tBJbH+I1vfAPDw8N95WzVjhqWQqGA6elpp7an151POkUrhKPbPnliYqKqffLAwICzTC/YJ1MNS21OumAplEw83clDMAbOACY4Qj7NSvsSHEG7IaRgCkwwKIBLrNgJV1Y7FvgUBbysMn3/fz5VAdQgAoEgEAO44NCLOop6EZmdbeztAprmQyAQQCDgRyAQcAboDcWKQMMIRTN1LWCwXMPcP3M5iMlP1zMLsLI/SladSf2t2cJnf7+liJHI/i0CjY/PibC4CvXldc05h+FRsQK0brKWGkcSnqCbvVVyuRySySQ4522JCshj6dfCe1nvAwCXL18+lOVzL9DqlLCtrS0kk0kMDw/j5s2bNJvfJO26pirtk2WjvVQq1VP2yf10z7WSkyzmsnoJT7bzllOlEAhpKsAYTGE1f9SYle7FsZ/MFLCbQnIhygb2foVB1LjEfFUaOypMQTAYRDgUBBIJcM6hFwsoFIrYTqdhGCZ8fj+Cfh+ikQh8/gCYUi3aUZEmVQVZ+1F3GVbnHnF5McuUM+FEZeSZsdPZuBXpqRXt2d9tXnUZVhGFsSyOmeMeVq8ov9p5EB4XK0BrIixCCKphIboP5xy6rnc8qgIAr169woMHDzA6OorJycm2DR771SmsWCxiZmYG+XweAHDmzJm+Gzi1KiVMCIHl5WU8efIEb731Fi5cuNCCvWtMv30f7YQxhnA4jHA4jPPnz5N9ch8gbfC9DNvagvZv/y3Ur38dIhyG+ZnPwPiu7wKOEaVO5YpYzepQFQUKY1YEhFniwhBWw0ZhRwmYEBAlHUFVsQVN+fPOp1jLliFctsbWD1z/hR1dkPUkVpQrELTcxYAETNOEXsjDMAxspdPgXMDv9zvRF7/fb6WBgQGcgwNO1Mc+a/sRnkZipYllpFgp+5zLNUAenclNp72CqLFeDlEWWamzUTDpLuYSTahYd60ITC+IFaC1KWEUYSG6gkwBky5gnRQrpmliYWEBr169wrvvvoszZ860dXuKovRdLxZp+Tw4OIhbt27hK1/5Sl/OZrYiOlYqlZxePh999BEGBgZatHcnj06m+PSKfXI/3netwuvnhm1sIPg3/yaUR4+sGXTOoX3lK1C/9jUU/9E/atxgsArru3lsFkrwaarTwNGnKjAFoNs1K4IBql0WYcJKT6o2KNZk6pOrCaIAwAUQUBl4zcJ01I16+DUVAVc9gmEYKBSKVgpZJgvOTYSCQQSDIQQCAVeKsWud3CrC53bBvdPg3l5MgEFBcwXv9dLAXIuBMQZ/IFAjEsPsdTUpVqotJx3D5FJ2vxbpGubUwQjRE2IFoBoWNyRYepBupoBlMhlMT09D0zRMTU11JMVDVdW+ibAIIfD06VM8ffq0rLlhv0aRjhth2dvbw/379xEOh3H37t2uOFL1Q5TFC8dA9sm9h9drWHz//J9DefQI4syZ/YhKJgPtP/wHGP/D/wDz3r2m1yWEwNPtHHaLJgJ+DTrniGgKFEVBiVvPsKBqOYOZQsC0H2s+ZqVGWuNgYXW0hyViBCxBU0lArVFAjsYRDaVKepamaYhGNUQRsepE9BL0ko5CIY/d3R0oimLXv1h/VEUBU2SHepfrF3NHeezeJlz+ZL8OhLkiGs2JFdmQ8eC+y0iMsKM0HKLMrZkdqHdpQkSh3AqZ7W+oZyIrEtM0j/3eMwwDxWKRUsKIzmKaJp4/fw7GWEdTiIQQWF9fx/z8PMbHx3H16tWOzYb2y2Be13XMzMwgm80eiBT0yzFWcpwalvX1dTx8+BCXL1/GxMSEpwdOxOHxkn0yXVvV8bpg0f7gDwC/vzz9KxoFdnag/vEfNy1YDMPAwnYeRYPD79PAIRDzaTABmFxAUxQntcsSKtY58SkMjAsYJV0GKGAIQJMD/yqnzlfL7cqmlsOWXF293wtY6WpqMIBAMIBYLAbBBYq6Dt2Ovmy9eYNAwO9EXwKBQJV3+f73fsAm2S60Z3Y4xnm81yikd19DVm1K9R0v+zRz/0rsb4PzpppM1uzbYrd86CVaEWHJZDIAQIKF6Azu3irpdBqMMZw9e7Yj2zYMA3Nzc9ja2sKtW7ecGdJO0Q8pYel0GslkEgMDA5iamjqQu9+vguUoKWGcc8zPz+PVq1d4//33MTw83Ka9O3l4dQBK9snexKvXi0Qwu2Fg2Q8rHKEakC+V8OBNFn5VhU9ToTIGn8JgwkrpMmH1XHHXoSgA7LIWGAJQfH5wWB3mnQhIlc1rNcSKsIMKfmYpnWpiR8jPu/5duVg1xzCmMASDAQSDAcTj1mBe1y0Hst3dXRiGAZ/fh0AgiEDAD7/PD7WZyUg70uKuu6l0DENFNKhahEUeS92vyxZG+33ZrIQymcrWVN8WmQbm8TTHSlohWLLZLAASLEQHkL1V5MBP07SOeYbv7OwgmUwiFArh3r17CAQCHdmum15OCRNCYGVlBY8fP8b169cxPj5e9YHdr05ohz2ufD6P6elpCCE6lnJ4EvDyoLManbRP9nqdRjfxumAxP/1pKF/6ElAqAXISaG8P8Pth/oW/0PDz6YKOuTcZxAN+aCpDyXYAUxUFphAocYGgJtOKrJ4gpuOqZZW1Sz8wxiwho1U0Z2T2OWR2PQwAR21IoSIA+BSUN4UU5X/VFJTbIrt+J2MhHOUCjrl+L5hlu6yoKkKhkPVsHbAGxIViEXqxiHQqDaOkIxKJwh/wI+APwO/3oVI9MVajr4s7KiM4AAWC74sY2eW+bP+bucYqertUprKV9W1hivUB9zptsdKL93qrBEsoFOr5SR4SLB5Gdj6XYkXWqqiqikKh0PZtP3v2DI8fP8bExERX7XZ7Nfogi8V3d3fx0UcfIZFI1Fy23R3hu8VhjuvNmzdIJpM4c+YMbty40fMPV6J11LJPTqfTWF1dBYCesE/uNbwuWEqf+xzU//pfoTx8uD9zrmko/ZW/AvOjj+p+9mUmj0fpHAZDAaiMQedARLOcvmTNil+xi+sBmAIwbdFiiZL90TIDg+D7molZPwa3esgDthDiZUUi+/hcjlrV0BoU4UM6gqF89e7qEyYEuB2RYgJWM0ZYNTnhcMiqGbPNfIrFIorFopVKJFBW/6JpakNbYuu7KHfw2s8cU+wICRx3sX3RVfXQUCNgdWA56S7m7tnCAPAqQqlXaEUflmw22xc1gSRYPEq9wnpVVduaIqXruuPK9MEHH2BwcLBt22qGXkwJ29nZwfT0NKLRKKamphrm3/eqKGtEM0X3shfN8vIybty4gfPnz3do704evfrSdtMO++Ref5G3C68LFnH6NPL/4l/A9//8P1D+9E+BUAjGf//fw/zv/ru6DmGr21k82iliJOyHFQcAoprV/FEOkP12fxTDXQAOBr8qDYOFNRYXHKZpwK8ymAearViD8YBb4FSgMjgWydVQWPUeIuVbqf8dyaJzJ8AjC93lbwWsUb5ijS/C4TAi4TAErIk3XddRKBSwtfUGwUDASh8LBhDwB6BqFYPparlqNrzCqQuK3YiSQ0o7edD7PgCs8fGJyoiK65yYpun0aelFWlXD0uuWxgAJFk8ioyqmaVZ1AGunYJF2u4lEoqmBdifopZQwIQRWV1fx6NGjQ0Wm+lmw1DsuKY4zmQw+/vhjxOPxDu7dycHLg87jclz75H4Qce3E89dOIoHS5z4HfO5zTS3+cHMPq5kixmJBCDD4mNWF3pT1Jyh3lZIIDoR89ow99l3CTMGsIvsa56meWGGs/vmtmXol9wl23UoDmuujojiWxnLdAKD5/dD8PoQjYQwNDqKoF1HUdWSzWWxvb0NV1bIIjOxAX2s7lljhgPu4ygQUXIX9sE+SqCla6ugjcG5C8N6a7KykVSlh0WjU+/dyA0iweAjZW8UwjLqNINshWNyz3NevX8fFixc9c3H3ymDeMAw8ePAA6XT60JGpXjnGw1IvwlIZhaImgkQrqGef/OLFC5imWWafTNTG6xGWw/LfXm5jM1fC+XgQiqJANzmCmurUR5RMAZ/KoNkz/0IIqwBdCPg0BqOKk5UKAc1fvbbTp6CmWAGDY4FcDcvxS6mbC9VoGCtQ31XM2RWldgzDqoOxf6+4G1gKcC5QzOdRKBaQy+VQLBQQjcas4v2AFYFxN5QUAna0o3FRv1vMye9CHhWDy1oZ1cUMFxy8xzIzqiEnro9DPzSNBEiweIbD9FZptWApFAqYmZlBoVDw5Cx3L6SE7e7uYnp6GqFQCFNTU4c2J+jXovtaNSxra2uYn5/HlStXcOXKlb4aFHmZkxhNqLRPzmazSKVSjn0yACwtLWF4eLjt9sm9Rr8IFs45vrqWxp5uYnwgBKYoKJocUdUSKyXTsuhVFatJJIM1pDbBYHCBkKag2tNZYwwlxg4GFISwxISwogP7le/7EQFr/aha0wJY+8KFOPB79+Bc2OlSLmfh8nXUPy32+hqnXDmRkYpPKgpDKBJBKBIB7JrbQiGPfD6PnZ0dgDGEQiEE/JbNMudmTQe1yu2xyv4ubP8vllGBgODC2a1yNzIB3mP2xbVoVYSFBAvREmTH+npRFTetFCybm5uYnZ3F6dOncfv2bVdHXO/g5ZQwIQTW1tawsLBwrH4h/Vp0XxlhMU0T8/PzeP36NW7fvo1Tp051ce9ODv0w6GwFjDFEo1FEo1HHPvm//Jf/Ar/f79gnRyKRsvqXk2z+0A+CxTAM/OHaNrIlE1cSYZiweqdENdVqAMlh53kJhAIaOFBWtxJQWVWxosBy/RKcwyyVLL8wYTl9MQEIlcEA9s0AXOvUGHOK8auhyhSpKr93BA+DnZZWbicm6/MZZJG9/KXtrVUWJKqfcgZ7/xtfA8IxBIpEoohELPtcwzCs6Es2h1RqC4ZhIBwOI5PJIBAIwKdpB4VQs80o+b6okQJG1uJwsz/ECueW8xkJFgvvjU5PEO7eKkDzHetbIVg453j8+DFWV1dx8+ZNjI2NHWt97cSrERbDMPDw4UO8efPm2IPvfk4Jk8eVy+UwPT0NxhimpqYQDAa7vHfN0YxxANGbyFSL8fFxBINBlEolpFKpttgn9yK9ft0X9BK+/DyFgiFwdSgCU1gCRLX7q0Ba/TLA51dRqjhcnwK4vXNlehXnAqrCwG2Bovr8Tk2LEICvhsgBAKVBeEFp4AhmpYrV1DqunysVy9gl9kKmUNnHI6zwT7VNCjuy0uiKr7WEpmmIalFEI1FAcGzv7KJUKiGTyWBzcxOqoiASiSAUCsEfCEBTtaZS2ITAwQiMtSN9kQYmkeOeVtWw9DokWLpEZW8VxljTL8LjDuBzuRySySQ457h7967nL2RFUTzXnXZvbw/T09MIBAItGXz3q2CRkaPNzU3MzMzg3LlzeOutt46dk0scjV4fgLYL+ez1+Xxkn+yilyMsuwUdf/BsC4YArg/FoCh2tIFZTSAVW6wUTY5oQAWvcPhShNXhHrBSs0yxX2gfVPfFQOUt5a8jViCsVK96dS2NBuwqE7U/L/cd0gms2i5YKVUKLMEl4xPu6IxcTkHj7C1WNV3s4FbBFDCFwe/3Y2BgAIBAUdehF3Xs7mWQ33gNVWGIxmIIh8MIBAJQq3W1r7M5bpoHv5AeRo4JjitYcrmc58d5zUCCpcPU6q1yGI4TYXn16hUePHiA0dFRTE5O9kS6g6qq0HW927vhsL6+jocPH+LSpUuYmJhoyeC7XwULsB9ZefvttzE6Otrt3TmR9Oqgs5scxj55cHAQg4ODfWcc0auCZStXwJdX0zDBMDkUgU9lKHIBv6LApyhgENDtXiBRv0usCAHV7juoqAwlDlT6UPkrGkPKdCjAKqLndZqK+Oo4hgF2v5V6NCNW6jiWOcvU+Ll0NwasdDETUpC4a132ozHNiRVrbXID+9cTs2pb/AHEYjFwbkLXSyjqRaS3d1Es5OHzaZbFciQMvz9QN1VMcA702Tu0llPsYSFbY+LQHKawvh6ypuMwLxPTNLGwsICXL1/i3XffxZkzZw693W7hlZQw0zTx8OFDvH79Gu+//z6Gh4dbtu5+LLrXdR3Ly8vQdR13795FLBbr9i4RRBmHiTjVs09++vRpQ/vkXqQXBcvabhZ/sr6LkgDeGgpDYQqKXEBjAn5VcZpCAkBIU2AK2ZhRwBBAiVsRlGpPY7VKJoSQKVVWEKF6qpYQUMHsqEf1a86qNWlkYVwplirW0SCdrP4WyrcmhZEMwgjnX8Kpi1GYHc1pXLZvfVqIGveEgKKoCAZVBINBDMSt6IJsYPkmlYZe1OFTFUSiUUfAONEgISA8MEZoNa0ouAeslLB+cEQkwdIhGvVWOQzyAm62A2omk8H09DQ0TcO9e/d6Lo3BC9GHynPY6vqLfiu6397edlLmIpEIiRWP0E/XWCs5yvP4sPbJvdhputcEy1Iqgz/d2EPJFJg8FYGiKhAQCCoMjJWLFR8T0BTA4EDJ5cYVrJXSZdem7PcKsc6N4BzcNKzIhn1/ydWVOYIx1ExXYgJQFcuRDHDakuw3T4RjMubO2dr/pfPXVn1X9dfDYTmQCbD9wn8hrYjde1IebhJ2tKaZ7SmKglAo5IxXjFIJxZKVQvZ6cwumYcDv9yMUDEBhQDQS6alrtRlaYWkMUA0L0STN9lY5DFKkNFLfQgisr69jfn4e4+PjuHr1ak/O+HXbJezFixeYm5vDxYsXce3atbacQy+IslYghMDz58+xuLiIq1evIhwOY2lpqdu7RRBtp5F9sqZpjngZHBw8tPV5N+glwfLw9Q7+fDOLEheYGAzDryrwKwwlzqEoKky7GaFPtQvtFRV6xSNXU3AgpUvYxfYBy6cYsAvtrWwxAQOW4K1lUSzs9LJ6UwVaRapYeVRDpnm5VuiGWyLBzmRzhI20O3brm2b6tjTzbavAwUgOc6eUCWc/FVvECDD7XB7l/Smg+XzQfD5EwlZqU6lUQrFYxPrqCl5vbEBRFCc1s1/qy1oVYaEaFqIhrUoBq0QOmOulSRmGgbm5OWxtbeHWrVvOLGAv0q2UMJlG9+rVK7z33nsYGRlp27YURUGpVGrb+juBaZqYm5vDmzdvcOfOHQwNDWFzc5Nm9T1Arww6O027rs1q9sk7OztIp9M9ZZ/cK4Llmy/TmNvKwRDAhXgQg0E/TCFQMDhifg0GF/ApDCZjKJkcYZ92IIqiQEBlquUGBliOU0KAC0BRgFItG2LOodZpB+A7UPNSjmNxfFTYfnNH4Q7rWEa/UJjYj9Aw+bfqmWMKqh9ixeYgGjiHWULJdlSzfyDsIntV0+w9cyRVcwdZgc/ng19TceOttzB5/Tp2d3eRTqed+rJAIFAmYHqxv1IrU8KohoWoyWF7qxwG6XdeaxC/s7ODZDKJUCiEe/fu9cRMXj26EWFxW/DevXsX4XC4rdvr9QhLNpvF9PQ0VFUtc03rx9ocgjgsqqo64mRiYsKxT06n0563T/bKftTia2spLG0XoAuBkVAQZyNBFF0F9YA1OHd+5tPgfnMKIaAyIKAqthsYYLrCG1aEoIboEFa0waxxjpQGNSdKE+N11R1dqbEPtepWrCw0tl+s77iCWWlo+z0c7d81asmCxi5m1roPFuMzAIqqQlFVcAEIYb0XLEHF6tgnVz9JDAJMrkNRkEgkkEgkcPnyZZim6dSXra6ulk0QDA4OIpFIeLLnXCWtEiyZTKYv0rK9/431GO7eKrLArB0P/GqCRQiBZ8+e4fHjx33VQbzTg3nppDY2NobJycmOpNH18sB+Y2MDs7OzVc9Xv9Xm9Dr0XVSn08/JZuyT5cxwN9NbvBxh4Zzjj1a38GyvCEMwJAIaxmIBS5gIgYhfARcMpuuaD2uKnbpl9VGBAEp2/YjTg6UsHQzw1ehyD1jRk7wrauFGCEBVUdviGNZ260VXlEZixV6mHtLCuPLOdzuCCdhRJb6vM5isQ3Gtv6mhcx3nMGlQ4I7AOEEhIet37DPClPoRGF4760JVVZw6dcrpjabruiNgHj9+jEKhgHg87kRgvGqQ0cqUMIqwEGVwzmEYRstTwKpRKVh0Xcfs7Cz29vbwwQcfYHBwsC3b7QadSgnjnGNxcRHr6+t45513cPbs2bZvU9KLA3t389F33nkH586dO7AMNV30Bl4ddBLetk/2qmDhnOM/r7zBWkaHEAxhH8N4IgLBGHwKoDIFBnfK1AFYdsSMMSjMcgIz7aYqvjp9UWq5hQF20bk92q52jvxKnX4saEEqGFzRkTo017fF5QrmSikDyiMxwipGqWlE5hYiVX9vd7GvZ4cs+8SAc6tfjuB2n7p9NzLGzUOdOb/fj5GRESetO5/PI51OI51O48WLFzAMA4lEwpkkiEajnrjumzVWqoesp6MaFgIAynqryAd8uy92t2BJpVKYmZlBPB7H1NRUT+Zq1qMTKWH5fB7T09NOM81Oz0b0WkpYsVhEMplEsVis23y0XwSLVwduxPHw4rVZzz55eXkZc3NzHbNPrm1D2z1M08TvLr/B65xV88cYx5XBAac/iikEVFdhN4OApjAoCitzCZO/UxW1atqWyqpER4SwxtnCXUtaAjfdS1pDf7PCEMsdK2AC4IoTazgQyQCsxpWod+5rCKWy42tCrMj6lzqbsYwDpLGAbWtsxZXkUVmCgjVIcRMCELyO4nFtk9kpYkKm49n/UQSHUvUbax7pPjY6OuoM6KWAWVlZAWPMES+Dg4MIhUJdef5TDUs5JFiOiTsFDEBHxApgDeINw8DS0hKWl5dx/fp1XLx4sS8HVe0ezL9+/Rqzs7M4e/Ys3nrrra4Uv/aSYEmn05iensbg4CBu375dNxe4l46rn3HSLzw4QCfqU2mfXCwWkUqlqtonDw4OItJCe1evXS8lw8B/eLKJVMGEwhgMIXDzdAxhn4K8waEyWAX1whIcjDEUDY6gpjpd6t0ENbWGhbHV5V7AGmBzWAX4dkYTAqpiWSED4EwBVAWGy9LYia7UOH0aY679EWX/A6w0LwMAM7htFcycSIe0AXNcwWpGKhrX0DTtClaRmrZf2+9Yl4EJu7hf7AuYSkzDgFKte30FtSIwTIhji5UD63QZZFy4cKEswrmxsYFHjx7B7/eXCZhO1QW3UrBQDcsJx91bhTHW8ZmopaUlCCHw8ccfIx6Pd3TbnaRdKWHulKZud2HvhYG9EAKrq6t49OgRrl27hvHx8SZm+PojwkL0N7000RMIBDpmn+ylyKJumPh3j19jWzfBmIKi4LgyEEZQU5E3OCAEon4rVY4xQDetgoywT6sqVgLqvqiQdSCmEDCEQFBR7CL9ig8yO/LiGumLilG/v1bzSBulWuTGhXt9wqmTd4kaYQkRkwHgwipaZ/u9WuywBNQ6qW4SFfX3BbAtiZu4BkSZOHJHYZw1wTSNxteTEDVdyFTwlnWaqUVlhFMW8Fc6/Mn0zMHBwbYV8LdCsOi6jlKpRILlpNKO3iqHYXNzE7u7u4jH4/jwww97wu3iOLQjJaxQKGB6ehqGYdRNaeoUXi+6lzbZqVTqUDVSJFi8BX0X5fT6+Wi3fbJXBEteN/Dvn2xiWzfAoKBomjgXCWAg6HOK6mN+K1ripH0xZlsKV8YRLFcwgIFz4URGJJpiRz+qHLYQgHagrkWA2fZaTNQf3FeKm2poSgMRIQAmRRHDwUiOsCIRnFvLMexHZliFo1gzb5xmmlEyHEw9Oyj3OAwurK709omoPFXuVLBKVNF+sVKNygL+UqnkpI89efIE+XwesVjMicDE4/GWZWmYpnnsFP9sNgsAlBJ2EmlXb5VmcEcEYrEYzp492/diBdgvSG/Vy3NzcxMzMzMYGRnBzZs3PdH/wMtF95lMBtPT0/D7/ZiamjrUjK3XhdhJwgsDT6K9VLNPTqfTSKVSR7JP9oJgyRR1/LulTezqJlRVQU43MBTyYSxuOaf5FEuYlDjsEbkFg4DfttBlsJo/CiFQ4gI+TYXOqzxvhYDGahfaB9WDhfRWnQ+cfan3tPMpaBgjaCRq1FoWyy4UxbIzdl4prg9Y58IWMvt5ZdXXUx4iqUo1sVJrSVXTAEVx1cLIHjHyv51LBTsqPp+vrIC/UCg499jc3BwMw8DAwIAjYI5jUd6KCEsmkwFAguXEwTmHrutdiarkcjkkk0mnKPzp06cnZiDobpR5HIEmhMDS0hJWVlZw48YNnD9/vlW7eGy8mhImLZ4vXLiAa9euHTrt0ctCjCAk3R6Utwv34Ooo9smHEixCQHn0CEoyCQSDMKemII7ZsHivqOO3H29ir2TAp6jI6gYifhVXBqPQbMcvU9imvBW7GfHZPViAsmL7gKvepJKaNS2wa0aqnAthD/i1BqleDI0jGlUL/d3rEGjYK0WB3XulBjLyYQpANqRxRIz9x4riNKFW0DjtTK6fy8p51zksTyPjdg2M2Bcw9qK1v5XuEwwGy1I0c7lc1XtM/gmHw03fU60QLLLg3mvmGUeBBEsTyBQw6QLWabEiB42jo6OYnJyEqqpO0f1JQN6wxxnQu12tPvnkE8/lc3pNsHDO8ejRI6ytreHdd9/FmTNnjrQed7F3vw4KewkSjyeXo9gnN33fGgb8/8f/Ae3f/3uwXM5ydhoagv7jPw7zs5890v5miiX8fx9tIFMyoSkqcoaJoKbi2mAEEZ+CgmFF3WOB/RoVYRfL+xSgWFa4Yh2DUsc1q7I2pRJfTYtjYfcsqR/5UFn96EsjsQJYfVsa1b8wVpmKdXCZyt87AsZVKqMJAUURgLCEYbUC/2aiK84ydpPHWilm8vyV18EI+I5t/tw5GGOIRCKIRCJOAX8mk0EqlcLm5iaWlpbg8/mc+2toaKhuxkKrBMthRJKXIcHSgG6mgJmmiYWFBbx8+fJAX5BudH/vFnJm4KjHu7W1hWQyiVOnTjV0teoWXhIshUIByWQSpVLp2BbPvS5YenGfieY5yQKuGftkVVVRKpUQj8fr2idrv/3b8P3f/zdELAY+MgJwDvbiBQL/6B8hf/MmxPj4ofZtJ6/jt5deW2lgjEHnHJrCcHkghIhPQ8Gw61YcsSLgUxTopkCJc6iKgmrKw4quVN+m30lV2n9eyTUosBzCpCSRaVtCALpegqYwGAee3/sRAgUuMcIAGCZQLAKhIASz9rVhg0jUFysAoLEmCu2bEUa2K5g8t1L7KRBOLxsh0LhrJQD5Pch7rdoz1Q7qHEBBk80qPYqiKIjH44jH47h06VJZjdna2hrm5+cRDocd8ZJIJMp6LLWiD0u/WBoDJFjq4o6qdMquWCLrBjRNw7179w6E6lVVRbFY7Nj+dBN57g/rFCaEwNOnT/H06VO89dZbOH/+vGcHoF6p9UilUkgmkxgaGsKdO3eOLe7cYrNXQ9JevWYOS78cB9Eeqtknz8zMOIYb9eyTtf/4H63ZcWnGoaoQY2Ngz55B+8M/ROlv/s2m9yOV1/Hvll5jTzegMAZu156MhPwYCPqdwXNQY+DCGqQXOWAY1vMz5lOripKAwg78nMEac1vRFas8nwv5dydsg6CmQq98PruNu1StyjatUIYQAn6ZhmYYUL/551AeLVqiJRiA+c67UN55G4YTp5FZU3YfEimW1PoRHKvgv+6pbSotrR5Wgb+Awe30MVPWw1hFMQcjMPtCRM4NVD6GakVpGACfR+pWWkW1GjPpQPbkyRPkcrmyHkuGYbSkhqWVVufdhARLFbrVW0Vue319HfPz87h48WLNuoHKTvf9zmEjSrquI5lMIp/P94Ttc7cjLEIIrKysYGlpCZOTk7hw4UJLrnnq/0H0Av3wMm81gUAAgUAAQ0NDGBsbq2ufPL65CVSmttjvLbaz0/Q2N3NF/LulDeRKHIrCYAoG0+AYCGhOkT0AqAqgKQp0k6PkGuyGtOoRFFnMrdhOWRyAwYVTkO/XVPAj1LUAABMc9Wo9/Mp+Kpn61f8KZfXZfoimUID2tT+BKOkwb9/Z/5Bw/mN9DgIlk+8Xy7uvV/vvqgLwBoqFsX3hUIvKniu1luFwpZLZ4ozZ0kORz31W8Q5wimT2D7PWprQeSgU7Kj6fD8PDwxgeHgaw32MpnU5jfn4exWIRT548we7uLgYHBxGLxQ498ZfL5brugtoqSLBUIHuryMFjJ2eF5UzW1tYWbt265cx0VeOkCZbDDOhlY8NEIoG7d++WhVi9SjeL0w3DwOzsLHZ2dvDhhx8ikUi0bN39IFgMw/Bkx++j0MvfA9F53NkFbvtkzjl2dnaQSqXw/PlzsFOnMLq0BCMahc/ng+bzgek6mKLAvH69qW1tZPL47cevUeACCoASt1NiFIErgxEotuBQmSVWihXewwqTNurOzkNRmDOA1k1edQgc0BTHGrkSFY17qghFrSl4mRAQdtoU296G8uyZ/Qu5PIO2uwvz4UOY734KqPquEk6xv1kZrrB/rzHAYLJUvew/+/sCu0anDjICU1co2IKvqu2z/cfkwkkbk2lkJjcOfESpEV1RIKD2WXSlGSp7LH31q1/F0NAQ9vb2sLq6CiFEWf1LM7UpmUwG4XC4Q0fQXkiw2AghysRKpwvrd3Z2kEwmEQqFcO/evYbWsSdRsDQ6XiEElpeX8eTJE1y/fh0XL17smZnTbkVYMpkM7t+/j2AwiKmpqWN7vlciz78X0t2OwsbGBmZmZgDAmU2u5qbUC/TKvdBJSMDVp1btmaIozsBpYmIC/H/+n6H8rb8F/9oaiuEwdMOAv1CA/s47yN65g2iDGraXe3n89tJruzbFqplQrWYpuD4UQ8inQmMMecNEtEbKV0RTYQrhuHXpXECYAj5mN1msMjC2ohK1j9+v7te1VENtEAPwuT7PNt+g0iVLyeVgnj4NGAbY7g7EqYOTlFqDYn3Aqlvh7qiMY+Usu93L7dbfX6VB00vYa2hYb+Mq/HfSyEzLrc00uVMfJMoDLg69VGjfLmSa+Llz5xAOhyGEwN7eHtLpNN68eeNEOd0CJhgMHlhPNpulCEs/0c3CeiEEnj17hsePH+PKlSu4cuVKU9s+aYKlUUqYruuYnZ3F3t4ePvroIwwMDHRw746PFCydLE5/+fIlHjx4gPHxcVy7dq0t2+3VCIvbAvvmzZvw+/1Ip9PY2Ngoc1M6deoUEomEJ40ciOYhMVedZu9b5f33Yf7SL8H3f/6fiD54AK4o2P74Y6x813fh9eIisLhY0z55M1u0Iium1cRRZQw+TUHRMHEhFsKZcAAFk6MkhN3npOK7EgJBTQG3e6zoFfuv1Sm09ym1oyv1GkgClpAwUVvUMQiYgjmfF6HggZWpxQJMe/ZbBA4ONhlEw74tbnHgRqZrmbB6mPAKEWNvwNmnWusp2x/RXARG4OBCAgJM9rix+68IZ5/2DQp8rKFz84lAjgdkDQtjzCngHx8fL4tyvnjxAouLiwgGgwgEApidncVnPvMZnDlzpqWC5Vd/9Vfxcz/3c3j16hXee+89/PIv/zI++uijmsv/4i/+Iv7JP/knWF1dxenTp/G93/u9+Nmf/dmqwqoZTvxbVkZVTNPseFTFPcg+TPdw4OQJlnoRiO3tbUxPTyMej+PevXs9kQJWSSfdtDjnWFxcxPr6Ot577z2nAVY7kOkkvSRYSqUSkskkcrkcPvnkE4RCIacZ2KVLl2AYhtMo7PHjxygUCodqxtdNeul7ILrPYZ5H/IMPULxzB8hkAJ8PwWAQbwG47rJPrhT8CEXwB5slFDhQMjgCfg0MQK5kYCCgYTwRQs4uphdCIKjtF7er9kBX58KpSakkpFWPxgCAX2U1xQpQP7Lh1GOgut0vYIsh92dGR4FwGMjnrP3f3YU5eMpyGzt7FqgyqGxkhWztRv1ifCEEuBRN2Bcx8gfMFjSQtbpViucdWKMYTe0IjPtachsEWPska2CAYHWDtxOHHN/VKrp3RzkBOC5/f/Znf4af//mfx4/92I9hYmICgUAAY2NjyOVyx0oN+zf/5t/gi1/8Ir70pS/h448/xi/+4i/i05/+NBYXF6uOIX7rt34LP/ETP4Ff//Vfx9TUFB49eoTPfe5zYIzhF37hF460DydWsMjeKoZhdCUFLJVKYWZmBvF4/EipOCdRsFQer4xOPXr0CNeuXcOlS5c8O1BsRKfctAqFAqanp2GaJqampjqS2+oVB7Rm2Nvbw/379xGJRJz6p1KpVLaMpmllhZKyGV8qlcKzZ8+gKEpZ+lij9M5O0av3RjshAVefQ0+gMAZU9LiqZZ/89OVr/N7aG+jCSmeKR0IwDSBnCIR8Cq4PxWC4HhuxgAaDW1EWQwgU7MYhMX91UcL2fb6qHRgUVju64q/S78R9rWjMGmQzWcVecYqshpYo/7miwPiO74D2+/8ZKBSgwBIOIj4A41v+Xwf2wYqK1FcIWhMpXKrC6qa9CQCCMZQEnNoYhVliUAEcAcPQeFtOdKXar6S4qrOSIGvSKfkEIN+ZzbqESZe/z3zmM/jMZz6D1dVV/N7v/R5+5Vd+BV/72tcwODiIu3fv4ju+4zvwHd/xHfjwww8PNbn7C7/wC/ihH/oh/E3b8e9LX/oSfud3fge//uu/jp/4iZ84sPzXvvY13Lt3D9/3fd8HALh06RL+2l/7a/jGN77R9DYPHOORP9nDdDsFTFrtHqfOopmajn6iMiWsVCrhwYMHTqH4YaJTXkSKlHYOoGQ/muHhYdy8efPYdonN0ivd7mWK3KVLl3D16tWm78tQKISxsTGMjY2Bc47d3V2kUinH7S8SiTjpYwMDAx0770TzkJirTjsivpqmgYXj+FN9D76wHyoAHwDdKOHNbhaawnDldAR6IQfmD8Dn06ApsiBcIOdSJ35bvFQb1Qc1tUzwuAloVtRXrRiFW7bGAibftxO2ZJFrG0JAqAq45VkM3TBhmAKGyWEHKKAotlwS+6lODABODcH43u+F9vgRdMOEGByEOH8eYAcnqZQmoisNIxFCQLZrPMwy0tpZwoSwvgNlX7hUTYOrk1YmhFW7UqsPjArAR7lgDsfN+rl48SJ+6Id+CN/85jdx6dIlfP7zn8cf/MEf4Mtf/jJ+6Zd+Cbqu4y/+xb+Iz3zmM/hbf+tv1V2Xruv45je/iZ/8yZ90fqYoCr7zO78TX//616t+ZmpqCv/yX/5L/Omf/ik++ugjPH36FL/7u7+L7//+7z/S8QAnULDI3irdiKoUCgXMzMygUCgc22r3JDWOBMoF2s7ODqanpxGJRNpSKN4Njtscsx5uM4Ju9KPxekoY5xyPHz/G8+fPj50ipygKEokEEokErly5glKp5ERf5ufnUSqVnF4WQ0NDHffH9/L3QHiPdgiWrZyO35p/gXyJgzNmFbYLy5J3KBHAWMSHU36GYqGAvZ1tKEIgGgkjFwwjEAg4gl8Iy47YrHJJq8xKERPCijDI5C05EC+ZtcVAtX4t7sG8X1P2tykH6FJcCCv6ojsrrxb6UeGbvAEOK+WLwbJGZow5qVIKANMldqrhU9BEfUvjgv2mllEAA3AcCpiwfqZgX6QoDZpfCtsUgNcQWkESK2W0oss9YBXdx2IxTExMYGJiAj/yIz8CzjlmZmbwB3/wB1heXm64jjdv3sA0TZw5c6bs52fOnMHCwkLVz3zf930f3rx5g2/5lm9xWoV84QtfwN/9u3/3yMdyYgRLZW+VTouVzc1NzM7O4vTp0y3ptn7SUsLk8a6urmJxcfFQBgW9QLvctEqlEmZnZ7G7u9s1MwIvCxbZr6dQKODu3bst7wjs8/lw5swZnDlzBkII5HI5p5fF06dP4fP5ytLH2ll/1S/3Sivx6nXpFVotWNL5Ev7V/DqKhkCRWw0ViyUOpjAojCHqV3FpKAYFwNBAHLmSAdUsIV8sIZPNIJ1Ow+fzIRAIIBEOouRTnZ4fgBUJ0RiDzy6YN4WAUaFoQppSM/ICYVsI184lg6gclVecI1b383Y6mf13Q4Zw7HW7lwGYY+XM7MIQAeGsnzf8WpqIrjSzTJUiemGnxJlytzmgKa7zUKUORggBwXnVTfmYJTKJfWSE5bhU68OiKAref/99vP/++8defy3+6I/+CP/7//6/49d+7dfw8ccfY2lpCT/2Yz+Gf/AP/gF++qd/+kjrPBGCpbK3SicbQcrZ29XVVdy8eRNjY2MtWa+MsHTSVarbvHjxArqu486dO1bBZh/BGGu5tbGsxwiHw12NRHm1hmV3dxd//ud/joGBAdy9e7ftTl+MMUQiEUQiEVy4cAGmaTouL8+ePcPc3BxisRhOnTqFoaEhxOPxvuj9QvQ2rXq/pPNF/F9zL5AzBIqcI6Awq1+HwqBzjrCq4uapKAKKgoJpQi+ZUBmDPxiCLxBCHHFwzlEsFlEsFrC9swNzOw2/piEYCMAXCIJpPjBVqRp1AWTkovY+BrTanwWAQBXHMbfm1Rir+3l3sX4tVOxHTniFoBG2i5rGAM4ZGLOL5av1MmH1a1eaXUZVqqdwla1HRmDkyeCWAHHqURgguAlVqz4hEzgZQ5hD0coIy3En4k6fPg1VVbGxsVH2842NDZw9e7bqZ376p38a3//9348f/MEfBAC8++67yGaz+OEf/mH8vb/39470butrwdLt3iq5XA7JZBKcc9y9e7elXtjyQjZNs+8tVff29rC1tQWfz4epqSnPFDG3mlYO7F+8eIG5uTlcvnwZExMTXRW1XqxhWV9fx8OHD7saqVNV1YmsAPtdjlOpFGZnZ8E5d6xgT5061ZLeL177HrzASZnwOQqtmhDbyRfxL2bXkDUEDFi1JwADh1X7EVIVvHUqAr+mImvsZw5EfCpKrkeioigIBoMYjkcgBJDVS8gXCtgrFqHvZgAAA6EA/CErfazy3RioF11pYCHs2BQf+JTL/apBZbpfYXX7ugCWiKi1DGMMXAjoYC6lZFkEWwKBOSLBFACrUhtTfjyoKnb2l2miVsbl+OX+oGmvHwDAgVLJgGkYEJa/snPOAlRoX5VWCpbjjj39fj/u3LmDL3/5y/ie7/keANZk/Je//GX86I/+aNXP5HK5A6LEnc55FPp2pNvNwnoAePXqFR48eIDR0VFMTk62vND2JAgWIcSBwuV+FStAawb2nHPMz8/j1atXeP/99x0nq27ipZQwaen84sWLps9Pp54blV2OM5kMtra28Pr1azx+/Nixgh0aGsLg4OCh73samB/EK9elV2mFYMkVS/iNB+vYM6xogAYBgwOm4FAVBr/CMBTUEAn4UHJN94c0pUysaHZqlMkZcga3Cr9VFeFIBOFIBBCAyg3k9SLy+Tx2dnagqioCgQACgQDCwQAMbgmlagTr9GsBAL+iWFGESuyeIs1EV0QT0ZVGgkarUmMjAOtn9vXsYwwmBFTGreaWMq3MdezV4zLlKDUK5Mv2mTXeZ4UBnCmAqqEkhBOBURng1+i5VI1WCBaZhtyKyfIvfvGL+IEf+AF88MEH+Oijj/CLv/iLyGazjmvY3/gbfwNjY2P42Z/9WQDAd3/3d+MXfuEXcOvWLScl7Kd/+qfx3d/93Uc+rr4c6Xazt4ppmlhYWMDLly/xzjvv1AyXHRd5XP1ax2IYBh4+fIg3b97g1q1bePPmTd8PLo6bEpbP5zE9PQ0hBO7evdsRy+Jm8EpKWLFYxPT0NAzD8NT5qQZjDLFYDLFYzOn9sr29jVQqhSdPniCfzyMejzvpY17u/UL0LscVLMWSgd+YW8NeyXLQ4pyjwAU0RYFPUQDOAcFx+YDLo5X6xIVl3Vvi++5gMb8KvUoeE2OW6PcFAkDM2pau6ygUCtjb28Pu1iYCoQgCAT8CgSD8fv9+ZKRG9MS9P2a14b1TfM/aHl2xtidgNJAZDMIRNIYQMFw7pTCr0F8BYDpRoerrY0DNAvn9/bEFTROXiDsSJSMwIaW+scBJplURlkwm0xLB8lf/6l/F5uYm/v7f//vOhOh/+k//ySnEX11dLYuo/NRP/RQYY/ipn/oprK+vY3h4GN/93d+Nf/gP/+GR96EvBYtpml0RK5lMBtPT01BVtSM9Lvq18F6eR5kCFgwGkUqloOt64w/3MMcRLG/evEEymcSZM2dw48YNT1nneiElbHt7G/fv38fQ0BDefvvtnotKSo/906dPAyjv/bK6ugrGWFn6WK1IZLe/By9CQq82xxEsJcPAP3/wAm/yJhQGGKZA3jQR8/ugACiZBkxT4JMLp6BU5ATFfNb9WTI5iq5XXEhTqooVAAj7yh3DZPpYMBiEygDh1L8UkU6nLJcxfwCBYADxYBBcqR1zqFa7Aki7Y9mXpf75aHTnWX1Z6lMtulKJWqe/jHRJ0xiDwbmdSsagSCc1tp8i1kzkpKnoCuA4qLmvJY0xBKhEryacc8/UsEh+9Ed/tGYK2B/90R+V/VvTNPzMz/wMfuZnfqYl2wb6VLDIAuZO9laRqUsXL17EtWvXOlIs24+CRdZejI+P4+rVq855PAk2zkcRLO6+Pjdu3MD58+fbtHdHp9spYc+fP8fCwgKuXbuG8fHxQz8XvDigrez9Iuu8Xrx4gYWFBSeFcmhoCIlEwlMClugdjipYOOf4zYfrWNsrwq8yFLmAbgoM+H0omhzgHAwMb52OIejbvzZ9dqQib6d8VeyM1QSximBxBsU18CsKDKYgHNYQDofBYDkoFgp55DMZ7G69gaKqCIWCCAZDCAZD0DS5XwKcK9ZAngnbetgKp8g6WYXV7zavKWiiuL1+ShlEjSiPC+auG6mBwmx3MshUMlGmtlRmWRRDscSLqOL4BVjWxqa10Xq7vN/RXoiycVFY9eaz1Su0KiVM2hr3A30pWDopVgzDwNzcHLa2tnDr1i1nBrQT9JNgMU0T8/Pz2NjYqFpb0GoHLS9y2NSpUqmEmZkZZDKZY/f1aSfdEiycczx8+BAbGxu4ffs2Tp061fF96ATuTuKy90s6ncbW1hYWFhac3i+maTqpZDRQsKCIU32OIliEEPhXc+tYShfgVxW7I71VQJ83TIBbDRujfgVnY0EAgE+xismzhokBv1Y1QhDxq2U1Lm7CPle3e3ufFSsJCYCAbpowAbshpA1ToYaiGI7GodvpY8ViEW92Myht7dsnx0IBaP5g1fPAOUexZCBrcCiKNdhnsArfFbaf7iQ46rqDKczqG1PvXB83uuJsyzY7qIUprD6W1vcmnDQy1XFXtWqRlCYjMPKNZl1L1t99jNnGC0QtWiFYisUiTNNsqeFTN+lLwdIpdnZ2kEwmEQqFcO/evY4XhPeLYMlms5ienoaiKJiamqrqhuRuHNmvHCZ1and3F/fv30c0GsXU1FRb+3ccl27UsBQKBdy/fx9CiJrXVL/i8/kwMjKCkZGRst4v29vbmJ+fx9LSkpM6Njg42BeNV4n2cFhBJ4TA//vhC8xsZRHRrFoTYTfy4FxAA1Cyi89vnRuET1EsoVKynu3hGilfzCU+yn9uRVeEXXBe4gJGxecjPgXFOs5gpi1wZHF+PL5vn1woFpBKbcMUAn6/H4FAwLJQtu8ZYRfcW5MyduG7s4/76WJy8+4ULNl0EbDtheuIFdFkdKWxjfF+dKXuMq4VOc027eNhsCJGVt2OJQurirEK9zBLsFgRljAFfBvSCsGSzWYBgATLSUYIgWfPnuHx48ddtUXth0G8dFM7f/48rl+/XjOVjlLC9llbW8P8/HzPNM/sdA1LOp3G/fv3MTw8jJs3b7YkrN6rM/Hu3i+rq6u4ceMGABzo/SLTxwYGBk5c7xev3z/d5LARlv/P4kskN3cR8akwuIDJOUomx2DID9PgyBsm/KqC90YG4FOVMgtjCKsYv1oUJeLXUOK2G5diRWwNDhRNjohPRaZU/T2oMWYLoOrHUOlEJlEUBaFQCIPRMErcyqSQ9S+ZjGWfHAgEEPBpgKbVXD8ge53UTsFSGFA0retQY6zMmhiA5azWKF0MlhBqnA62vy9HXUbKlqIAIDiYAFRF2G5k+xGYyvoWGWHxMauxJ1Ef0zSPPZmUyWTAGPO0wcxh6EvB0s4XkK7rePDgAXZ3d/HBBx9g8IC7Sefo5QgL5xwLCwt48eIF3n33XcdpohYnISWs0TG60+Y6nX54HDqVEiaEwPPnz7G4uIjJyUlcuHCBBqMuZG1fIpGo2vvlwYMHZb1fhoaG+uZFV4teFaKd4jCC5d8/foU/e7UDv6qiZAIFvQQhOBKhAIq6AS6AoKbidMiHaNCHXEVDlJgtSipRYNWNMABFg6Pg/h2zIja1CGgMep2u9ryOM5hw/V7TNGia5hQvy/SxYi4LBmBj45UdoQkiEAjs1142EdHQmJXqJYQ8lvLlFQj4VMVKMZO/rfhOmKjfQwY4GDmptYzZYBmG8nohwazIkgHrIJgAFMYh7AiMFDDCbuhC0ZXmaFWEJRqN9s17sC8FS7tIpVKYmZlBPB7vaudwSa9GHXK5HKanpwGgaTe1fogmNaKeYJHnjDHWcylOnUgJM00TDx8+xObmZtcnErxM5QC9Wu+XVCrl9H4JBAKOdfJRer8QvU2zguXLK5v42to2OKzBvPF8HVo2i0gug8LpEfhOnwKLxiCEwI2ROEoVY2J7WOug2nUTOufwqQr2akRQwlp1i2PA6tBeL7oS1Or3XanXl8Xv9yMY8MMIBbH55g0GBgZQLOrY29tFOm3A5/MjEPAjFgxCcdknV8KAxnUpiowSHbQnVm0RozRR1N+odkUuYzRYRmtgzyxsuzG9IgKj60VEQ36KrjRJqwRLOBwmwXKScDsxXb9+HRcvXvTEBdCLEZaNjQ3Mzs5idHQUb731VtPpJ70qzg5DrYH95uYmZmZmcO7cuUOdM6/Q7pSwfD6P+/fvO2IuGAy2bVv9jLv3y/j4eM3eL7L+pV96v/TDMbSTRufn/7eewu+vpFASAlwI+B4twW+UoOol6LE4QttpZHd24LtyBe9OXjggVgAg6ldhcKtXidVzxQTA7O7t1Z8dDaMrau0ifaCxzXAjfAqDDuv8SGcxYACmaaJYLKBYKOB1KgUIwB/wOzUymubbLz5vopAeVWp33HUlDABzUsqslC5pTyxca2hUjN/sMg3fwhUNMmUExlRUaLy3xivdpFWCpVWWxl6gLwVLK19AhUIBMzMzKBQKnnNi6iXBwjnHo0eP8Pz5c7zzzjs4d+7coT5/UlLC3AN7IQSWlpawsrKCt99+G6Ojo13cu6PTzpSwra0tTE9P4+zZs7hx40bPiblOctjnYr3eL8+fPwcAJ3VsaGiIhGIf0ijC8uD1Nv790muUuFXnFdjbBecmTFguUCKXRyYcQUTP4/TaMobenzgQEfExqyhf5xwF53VmbTPsU6HXKMywCvSr75eV/sRRK7oSUOvXe/hYfSHBIGBwJvOzyn6nqirC4QgGo1HoXMAwSlb6WKGI3d1dKIriiBcEg1DqDEotZ7DGEY8St9KxzLKif+t3ml0T0yhlTFVYw5SxRtEVwK6lqfJzXsjDH6NnRLO0og9LJpNBJBLpm0mZvhQsrWJzcxOzs7M4ffo0bt++7bl0iF4RLPl8HslkEqZpYmpq6kiK/6SlhOm6jpmZGeRyOXzyySc97aPeDsEihMDKygqWlpbw1ltv4cKFCy1df79ynO+hXu+XxcVFhMPhnuv9QjUstZFmE7UGOyvpDP71/CsUDQFTcPhVFXpRh2pyBPN5FMNhKD4fgqYBzeR49/kjZI1vs/KXIEWDgE9RkDEOKg+1Ts2FAlSN1EhCqmKlJNVAYfUbPdbq9yLxq1axvtuq143sNs+Y5drn8/kQjUYhhHDqX3J7u9jZ3nbskwOBAPyBgBUhkes5GFwpp0EdjsEFTDsKw+3j9tkuZe69ZWhcuwI0rpMRFdEVN/puGsqZ/rSWbwetiLDkcrm+cQgD+liwHGeQxDnH48ePsbq6ips3b2JsbKzFe9caekGwyHSm43ZgPwkpYVKw7Ozs4P79+xgYGMDdu3c9bVncDK2OjpmmiQcPHiCVSuHDDz9EIpFo2br7mVbOstXq/ZJKpZzeLwMDA079Sz/N8p00qn1vrzIF/LOZNWRLHCbn0DQVprD6q7C9PRQHBxFiADMNGBx4a/slzKEhgDEEVCsikNFN+BQGUWPAXTe64qtdu8IgUKpzPD6FQTdF2dDbSZ2y3a3qppKViYTqgs6vsqruY9I+2e/3w5cYgGFyx31se2cb3OSOfXIoEADz++s2ZvSp1V3V3DgRGFipZEUhnIIXBut8aJY3c1ka2YFtKUrD6EotN7OAwmAU8hQBPwStECyZTKavjFP6VrAclVwuh2QyCc457t6962l1qqoqdF3v9m5UhXOOpaUlPHv2rCXpTCchJYwxhu3tbSwvL+Pq1au4dOlSXwzyWhlhyeVyuH//PjRNw9TUVEd6H/XDd9BuavV+SaVSePr0KTRNK0sf67ZhiZsT8/0KAfU//2do//E/QllfB5+YgPE//o8wp6ZqLG4PaivOz3ahhF/55gqyJY68YcCvqZbwMDmywQhiwRAC3KpB4QK4nE3jzF4a5s1PwBhDRt8f9oZ9qtNY0k296IoVvShPnVUVq2BcALYIsnu/2L1JrIwpAQGAqXWcwwCENEtsMNn8EVZkQjaE9Cl213YGgPMDzzYhBMw6UQ/AqtUxxb59sjRRcdsnZ3e2wTQNfrv3SyAYPDCAbfhYbeSEBkA3OQxFARfWSfExBlWx7JWd1QvZB6fh5qoS1az6TBIszWOa5rHPl3QJ6xdIsLiQPUFGR0cxOTnp+ZQGr0ZYCoUCkskkSqVSy0SfTAk7SuflXsA0TaTTaeTzedy5c6evurK3SrDIaJ28P+nld3g6kQLl7v1y4cIFJ2q4tbWF1dVVPHz48MT3fukG2m/9Fvz/9J8CpgkRiUD94z+Gev8+iv/r/wrz058+sHw1wZIvGfjF//YU2ZKJTMnqqRLWVOi6iXzJRDQcBK5ehXi+CsUwEDF0XHq9isK168jdumO1mrfxqwqKZvU6k1rRFYUBQVWF7Gpi2I0ihXwNCoGgT62Z3mQ5h9U+RwyAblpCBxX1IBKrd4v184LJUeQCRcOEqljRGU0BIJjtfCasQXylDbFVVHIAaZ8cjYTBTg2hKNPH8nls7+xAVVWneWU4GICB+veNpioN61J8ilJmXlASAiXXudcUBj+zGn/aXTKrrkdB9YJ8H2MIqkpLajJOEq20Ne4X+lawHGaQZJomFhYW8PLlS7zzzjs4e/Zsm/euNXhRsLx58wYzMzM4ffo07ty507K6H3nj9qNgyWazmJ6ehmEYOHfuXF+JFeD4tsZulz4vp2gS1VEUBYODg47VtK7rTvRlbm4OpmmW9X4JhUIdu8dPTA1LKgXfv/7XED4fxPg4AECcOQO2sgLfb/4mzG/9VqAiWlkpWEzO8Y//9Cl2iyZyBodPURDRVOzlimCKgoBPsaIRkTBKE1fB0mm859Mh7r2P/MjBd2pIU6pGV5gtRBisRpIQVkSlaHKYXED4tZqD8LBPrZqKJQmoSs00M8CyOi6YtVfgU8obTcreIhzWgL4EIACGktsNS1iDflVGLoSAyS0pxGpELWSql9/vh9/vRyxmWUIXi0XoxSJ29/awtfkagVDYicD4/YGD2q+Jy7vRk9ngAkxhMDnfPxY7ouUWMLXu2JjPev4LIWhioknk+SKXsHL6VrA0SyaTQTKZhKIoTfcE8QpeKkR3O1rduHEDY2NjLc+ZB9B3YeXXr19jZmYGY2NjUBQFhmF0e5daznFsjQ3DwOzsLHZ2dvDRRx9hYGCgxXvXmH4RyF45Dr/fj7Nnz+Ls2bNlvV82Nzed3i/SOrkTvV+8cl7aifL4MVgqBX7xYtnPxfAwlJcvwVZXIa5dK/9dRdrVr/35Cl5lizDBLAtsTcFeXoffp6FkcvgZEFQU5IolKGC4NHkJaiKMfJWhrF9ltjAo/53GrOaSBhfIGxyiYjgd8VVvLrlP7Sp1KYRqIUT93wN2/QsvPy/uy0djsKIT5TXtMGzRBQ74FQV6yQSEVdzvU/a72wtYg3uzyjvOsk8OIhgMIsEAwzBRsNPHUuk0BBcIBPy2gAki4NeabFrZ+JgdjSePxQRgR6EsJzIBkykHIjAaA4IKc8Yp/fTubifyfLVCsHTjndkuTqxgEUJgfX0d8/PzuHjxIq5du9ZzN5OmaZ4QLMViETMzM8jn821ztJI3rmmannNrOwruGh9p87y0tOTZmqTjcNSUsGw2i/v37yMQCHiiUSvReip7v8jUyGq9X4aGhhCPx0+EwGg5wSCgaUCpBLhNPEolCE0DqkzUuSMs/9eDNcxvZcGYVbAeVhjyBodPU1EoGYj6NKgA9nI6/D4VsZAfQ5Eggqpqp32VE9L2a1d89ji3aHLkDKvmpNYgup5rlizmr0WoTpNJAAho9QvYlZrF+K4BeoWgqbZkSUabmdX3xKyI+PgVQBjWuuS1LoQoEwIqY+CqinA47EyyGiUDhWIBerGIvd09MGEiGI44AkZRq4igmnva5DJs/7syyiIwVnpcVFPKIuy9NsbqFvJ8tcIlrJ8yEnp/5FeDei81wzAwNzeHra0t3Lp1y+kz0Gt4IcKSSqWQTCYxODiIW7dutU1MyO+zHwrvi8UikskkisViWY1PvxoLHCUlTEaeLly44InJhH4ZJHs9BUpV1bLeL4VCAalUCltbW23p/eL189Eq+M2b4FeuQJmfB79yxRIvug5lYwPmX/gLEFVMUeS5+U9PN/HHqynA7gkSYlZ9hs6tvukhTYVZ1AFVhaIq4BC4fDqKmK+6WPGpCgwh4FcYCqaJjMt/OOpXUayRshVUlbpiwKcoNT8LNE59Yg08hK3tl//MnaLMIOqmo1n7WF/QyP3QuShbjsGKSqmMWf1WqtSuaD4NUV8UiEbBIFAs6igUi8hms9je3oamaU7xvt/vt9zDGlz/lvkB6qoWBdjvWeNEYCzHuFDIGg+QYDkcsuD+uO8dSgnrcXZ2dpBMJhEKhXDv3r2OuAy1i25a/brrCiYnJ3HhwoW2DuoYY30xoN/e3sb9+/cxODh4oLfPcWs9vIqiKCiV6hmN7uNOLTxKg1GiNr0ouoLBIEZHRzE6OgohBHZ3d5FKpfDy5UssLi4iFAo51sm90vulK/h80P+X/wWB/+1/g7K87MzW8xs3oP/oj1YtpBZC4FFW4M8fbUDYjlEBACqsdK2ApkIRAvlcAfFw0Co8Z8DVkQRURYGmsgP1IgFVgaoAWf3gRJuwHb1qHoLCUKyxgMZQs4Df2m79pogaY9Dr1K7sN2U88GPn1AUaCCoAdY8PsCInVkpZ+XEIwBZjltDTS6btWMagKcqBDvQ+RYGw+7oAlmDQi0UUikVsb2/DNE0EVAWBcASBYLCmdb7KFBgNCmFUxsCrCJ8Bv+r0lJGp3L34DOoGrSi4B0iw9CxCCDx79gyPHz/GlStXcOXKlZ6/ebpVdC+bGmaz2Y7WFXjRZKBZhBBYXV3Fo0ePcO3aNYyPjx+4/o5T6+Flmk0JK5VKznXV680yidbDGHN6v1y+fLms98vi4iKKxSISiYQTfYlGo00943v9PdAs/O23kf/Sl6D98R+DbW6Cj43B/JZvAWoMaJZSGXxlT0N8wE7xsQvfFU1ByKcBnKNQKCES8KNQMhH0KRiKBDEQ8iPu33f5sorNgYxuwuQCmlr9fEd9Ws0Bv8ZqixXAKpYv1nk1aMxqUlkLn8oOpGa5CWhqjUaTVuk80FiM+JT6KWtymXouZu7tcGGJmKLrnSh7qhhWSbwjNRRFQTAUQtC2TzZt++RCsYhMJgMAB+yTFaDuOQMAJgSqVV0yAHHf/oC7FRa9J4lWnS9yCetBdF3HgwcPsLu7iw8++MBxq+l1ujGAT6fTSCaTGBgYwNTUVEebGvZqhEWmIKZSqbrXX68eXyOaESyZTAZ//ud/jnA43BfNMr1KPwniyt4v+XzeSR9bWVmBqqqe7f3SNQYHYXz3dzdcbCtXxD9JrsEQgKoyCM6xq5sYCvnBhQA3DJh8v4O6X1MQUBVcHIoAQkBRGJh9qe3p+0PaeEBDoUpXewB1045CvnrpXvVTsVQFdcUOIBpGRhSGOhEWBr9Su+5GwuoYAsiVNW4CWbs/DWDV2DAFyJescYHGAE2xolpwNYUM+n1QNQ1hW6yWSiUUC4Uy++SQ34dAKIxAIFBz8KzVaFwZ8ynQlP0vtN/MctpNKyMsJFh6ADlrJgfY8Xi87wp3OylYhBBYWVnB0tJSzQhBu/FCzc5hkYXjPp+vYaPDfhYs9Y7r1atXmJ2dxaVLl3D16tUTM+Pdafr5vDLGnALk8+fPO71fUqkUnj9/jocPHyIajTrpY7L3Sz8JuFZRKBn4hf/2FOmiCZ+mQNcNcABDIR9KJgczTJgAioaJoXAAusmhcWD8dAyKoiDuV2BygWyp/FmtMVa1pgWwC+JrCBIFKOsLUklYO6aVsaqiWOf5pDIZGfn/s/fnUZKld30n/Hme526x51b7XtVV3dWLutXd6u4swQBGQmMMNjN4jo/NAYx9fF4v2GDhc0BjvzCGwfIYrFcseqXXtrA9HmzD4AWwZElYIEYYsakya9+69qquNSMjM9a7Pu8fNyIqMjMiblZVZGZkVn7P6dPdGduNG3f5fZ/f7/v9dh+bi4MlRd8Ux5bmpx9sJfETDkeZRHqAqOM5gYYgjGhF1EsR56LI1js1Z9pM08Q0TbId9smB61Iul5ktFjEtC9u2sW0by7Lai1C9dmvBWlhsbxKWx8MgCEsrwHdzJGwdQGvN5cuXuXLlCkeOHGHv3r0b7oatlEJrveIXA9/3OXXqFPPz83zgAx9gZGRkxT6rH9ZSs/MkaAWRLlc4vlEJS6/CUGvNxYsXuXnzJu973/vYtm3bGmzdJjYiOrNfDh061DX7ZWRkhFQq1c482Gj3hydBGIb80z+8zJVSnZQhma+BbGWHhBoVaRphbOVbsGICYwvBRM5hPG0T6QgvBC9aurCU69NdMaQg6FH9pk21xEq4ZQMsiP8xmj+dRrfzHuN/a7xQo7VoO4zFP7OI+w0CIh2hRIuOCKJm2GOrmO+vTYn3xXJGvfp3eZYTmZIs6leiv1Yn0hAJ2mRSNrtDSsbdl9Z5kEunCFMp8sTHhOu6uA2X2dosURRh2zYp08RMpTANcwGXS6m427bgczdDIx8Lg+qwVCqVDTVavWEJy82bN7l9+zZvv/02+Xx+rTdnRdBp9btShGVubo7p6Wmy2eyad6jWS0EfRREXL17k1q1bjxVEulFF991GwjzP48SJEzQaDd55550N1bYeZjyrHYXF2S/VapWZmRnu37+P7/t87Wtfa4+OjY6OPrMjib/49WucmamSUhLCCCUFjSBi3DYIwoi6F+KYCj+IkEpi6AiJ5tDWPPNeQME2unYSpKBnl8NU3cMaFc1CWut4JKuZau9HUbuZ4RiSWq8RM+LuS6NPlW9JQbXPKaHiNkSbIMkOUhvpuKliiv5kQ2tNoPuT4TgPpe9T4vyWBNKjeoyudaKzUoh0TEAfdWAEpnykzImI64y2fbIGP/Bj/Uu9TqlSQUrZ7r7Yts1Iaum5s9lheTxsjoR1x4YlLHv27GHr1q0bIrOjFzoJy6BvsJ0i8UOHDnHgwIE1X4FcDyNhrusyPT2N7/tMTk4+Vjt2vRCyx8ViwjI/P8/U1BS5XI7JyckNfY4OE9b6/B0WCCHIZrNks1ny+Txnz57l+eefp1gscuXKlWc2++XfnLrBH9+dxxICBdSjiCDSbLEUdTfWodiGou6HTKQMfD/AD0Je2LeFih/yqH2xtGLOW2bvcTAV61NahbIfxULyUENaSap95qRM2V8sn/SzGVLGI1N93r/ehxBVXR9HQTqKUEK2Py/qsA+zeug8Fm5Hst1xEhFZjq1y7yyZGJHWBBHt3yruwMSmCy0CY5omtmUSZbJoNJ7n4bou1UqV2YcPmK3OMt48d1rOfZui+8fDIDpSrYWZTcKyDiCl3PCFUMvqd9BFfBAEnD59mtnZ2aEyKRj2kbDZ2Vmmp6cZGxvjjTfeeOzjb6PO1HcSsffee48zZ85sGKe+Tax/CCEYHx9nfHycw4cPt7NfWvoXgNHR0bb+5WmzX4YRX3z3Lr91baatyWgEGkOADENqdR/HMgiCCD+MyBiSatXFMA22jOdI2/F1Lm+b3a2BtV7iNiVFPL6EiLUuvTQkSoqe9lv9ujbQXzMDcQchSVeSlM0itMbTiqof0WksLGg6dimJIu5qaGJCsOSatxyxvUgW9ZvL6MBYUvTNqoFY2N8qKbp1YCzVJDDN0bpWZ4U8jBgQVUYWOPcVCgUMw9gcvXwMDKLDUq/X0VpvEpZNDA8GLbyfn59nenq6nVMzTCYFw9qB6LTMfhq91LB+v6dFa9Tt3Llz3L59m9dee40tW7as9WY9k9iIhPhpsfhcXZz9Ui6XmZmZWZD90jk+tt5n86fulPi35+4SRJrQ9TEdi5QSNNwQGWocy8D1Q2xDIrXGq3vYjoVhSHaPPyqGegnC87aJH2kMIZAyJhmxc5hgxDJ6khVDiK6jYi1kTKPv4ylDUk94vNGneJfQl/DEz4nQwogrfCnbXRUNeJEm1CFuhztXZ3ZKy0TLXI7YPkHUD3TNQumE1skdGAF9nxNpjRdovCaPVC0CIwRCCEZTFiodO/cBbee+27dvU61W+epXv8ro6Gj7/Ek1bZY3sRCDICzVahVgk7CsBzwrLH5QhEVrza1btzh//vzQrn4P40hYqxtVKpWe2pBgoxKWMAwpl8tPNCa3icFh2M7nYUASgRNCkM/nyefzHDhwgCAI2tkvFy9efOLsl2HBzbkqnzp+nSjSNNyAsVQsnHf9CB2GGKaBF0TYzWV3N4gwTEUQRRzdMdbWWues7k5bRlP7EerFrmGtxPb+7l+1oPf1vm+BvoyuRVJuimPIvuNgQoC8/5DM+fMYxSIoRXTwINGbb6KbXThbLSRF3bJT7GYujSklUsakL9Kd52sy0Yg7MP2fYy9jNM1Sy+jAdASChlpTb37wmGPEXbMOpFIpdu3aRRiGlEol9u/fT7FY5N69e1y8eBHbtje1Y10wCMJSqVRQSm2ojvCGJSzPCgZRxLdyQmZmZnj99dcZHx8f0NYNFsM2ElapVJiamsJxnIEYEmxE0f3c3ByXLl1CCME777yz4cc0N7GxYRgGW7ZsYcuWLQuyX4rFYjv7pXN8bJg61ItR9Xz+8dcu44cRdc9nxDZo+AGKpuYs0nEnAAia1saEGtNSbB/NkLYencudWhBBK/U9IkJTbHSLFoSM3TsoEq37jms5Rv/xp5Sp+hbn5jI0I0kEIPPebayvfe3RH8IQ+e67iAcPCP7snwXVK2zyEQxJmyB0khgp4n1oSIEpBH6HJqYbltOBWQ6NTiJx/Z4z7vS+todhiGEYbfK/f/9+giCgVCoxOzvL1atXOX36NLlcrk1gWtbjzyLCMHzqa0fL0ng9LaAkYbN6WOd42iK+XC4zPT2Nbdt88IMf7JsTstYYpg7EnTt3OH36NPv27ePw4cMDuSgM0/cbBG7dusW5c+fYtm0b5XJ5k6wMATZHwpbiSc/d5Wa/jHUIkIelAAvDkJ/6vUuU3YCaFyB0HEgoEXhBiCEgbVvMzc+jTJMo0uhQU0jbWIZk59ijLmnajF2+zGY3peyH1JrdlBHHJOhxTTOFIOjRYcmYqu9KvyX7j3spIfD7dG9MKQn7vN6SAj9hHEz8wR/G/9FJJrRGlErIa9cwDj+3LLF9NxviSNPu7tgqzoExpcBsCuBBELb0IMsY9ZKCRIJmSLE8LU2X56QNSdro3RHo5hJmGAYTExNMTEwAsWFNsVhkdnaWM2fOEARB25p8bGxswxXf/TCoDstG22cbtoLYSD9SPyilCILuK1hJuH37NmfPnl03gX3DMBIWRREXLlzg9u3bvPrqq+1Z3UFgo4juoyji/Pnz3Llzh/e///1EUUS5XF7rzdrEJlYU/bJfzp492y7AWgQmnU6v2TX35/7kGtfn6tS9gDCKGE9bEEHN87ENRVpJPN9HConnR1iGwjI0QRTxYscoGLRCHyPmvYX3IVtJ6kFIt7V9S/bXp8g+Yncp+mtLlKDve+tlJcr3L95NKfDKlYVkBeL/FgJx/z7G84d7Zss0twQ/4XZmykeuXn60cLtbAnhbPsqO6dWFMaXoa1AAsY10UiWheriqjTv9R7mWY2ts2zY7duxgx44dbYerFoG5cuUKhmG0R8fGxsaGenH1aTEoDctGG7/esITlWcGTdFjCMOTs2bPcv39/XQmgB20w8LhoNBpMT08ThiHHjh2LfekHiFaHZT07qXTuo8nJSdLpNA8ePNgQRGy9Y70eUyuJlTwuu2W/FItFHj58yOXLlzFNsz06tiLz+1qjfud3MP7rf0XMzxO++Sb+d383v3qnzu/fKhL4EVLCSMoiDDRBGJGyDALPB8MmDCPcIGI0rfC8gGzWYddohpRlAJqUodAaZup+149Pm6pnRkraVD07JElWwhlT9RXLpwyVIMZXfbsNAp2o4zCVJLQsaDQWPtA6nsw+425NWEomkoh+naBIaxqBJmqOt4nmexpSIEVMYmiO94VR/3NfQKLwv5ermhKCEbt/cf24Nr2d1uN79+5d0L1sde4zmUz73NkI5hedGCRh2UjX/Q1NWLoF1m00PG4RX6lUmJ6exjAMPvjBD64rQZaUEt/vfnNcaczMzHDixAkmJiZ46aWXVuTi2FqBWq+EpWXrPD4+vmAfbbRRt/WMjX49fBKsxrm2uABriZCLxSJXr17lzJkz7fn98fFxcrnc042PaY318Y9j/st/Cb4fk5cvfpE/+tJX+dX/6f8FpomlJKGO8LwQJWOPr3rDZyRlUmt4gGgGR4aMp0xShmT7aAZHSdwwotjwmUhZbcvbTvTrgsR5IX0Ih0oQ2yd89cUWyks+P8Gq2DEkjb4CFk0QavSRI8hTp7pqR6znDuEux/mrf+Rkou2yEo+0OJp4n7sdu86SAttodu77fNxyND2mkl1tq0dsY0GgZjdEUfRUhHxx99L3/SXmF4VCod29zOVy6/Ie2sIgclg2OyybGDo8DmFpZWDs3buXw4cPD8089XKxFiNhWmuuXr3K5cuXeeGFF9i9e/eKXQhb77veUoG11ty8eZMLFy5w+PBh9u3bt2AfPQsLB5vYxONAKdXOfgEWZL/cunUL4KnsX+XJk5j/+l+jDQPGxgC4Yab52Z3vw7hzh2DPXupBSN4QKCVxvQApBTnLoNaIc1cqdQ8p4pGjIIh44eAYUsCsGy8aGUL0JBZ52+zZJclZBu4TiO2liHUvUaQxmxkgiHgUSjTHzmTz/w0BulWh65jkaK2RUnTPilmwDcmExgs1vPoqwa1bWMVibGncvMaFb7+NMTHRN+lRCnD7dJEAHJWcq5IUnOlFGtHhSmYpidXqwHR8zeVcnXu5svUT27dfO4ACvBOmabJ161L75GKxyI0bN4CnO3/WGoPqsGwkS2PYJCzrHsshLGEYcv78ee7evTtw3cVqYrVdwnzf59SpU8zPz/PWW29RKBRW9PNaJGU9dSPCMOTcuXPcv3+fN954g7FmcdSJTcIyHFjPK44rhWE5Lntlv9y9e5eLFy8uyH4ZGRlJNLBQX/kKeB40x33rwuB/fes78JRNWKkShRFZJdBIXD9AKUkUaaIwwlSKhhfiGHECvR1q9u0s0NCaTtFFwTZ6jnz163Is6XBojSHiXBJTCSJiHUrYNAIIoqhd++ctg5rbW2mRswxqQe8ufM5U+FGEEnHRrmTceHjUIdCJhKadN2MYPHznHUZrNexiEQyD6MABZCHf7C71Pt8sJWkkEJakTtBytDgSFnwfL4zwOjswSmJLQRj1bcD0NAdIG5KUkby4ttJJ9y375F27drXPn/VsnzxI0f1GwoYmLM9CoZREWGq1GtPT0wghOHbs2LpbaejEao4WlctlpqamSKfTA7EsXg46R8LWAxqNBlNTUwAcO3as53jhs3Aerhds/g7Dj+Vkv7TGX8bHx7tmv4iO66QGfvy1D/GencNWEhkEcUgk4BgaX4MOQnJK4kYaUwkMJSAIieoeRj5HPr9QrxcHDPZw+LKMntoMS8YLMpaIXa68MKIRRmgd38NiEtTrfrYwv6T74/3vD2FEc9u6b1/WVNSCACkEpmq6cjVDEUGjI72g66GBcMcOwgMH2n9bnL3SDUkhj1KQSJzsZXRgLCX76nm8MEIiaTT3q60kZlsD8wi9BPljy+iuwOpODXSePy375Jb+Zb3YJw+C4G12WDYxdFBK9dR13L17l9OnT7Nr1y6ef/75oTspHxerNRLWGp1bbfe0zpGwYUexWGR6epqtW7dy9OjRvqtBmxqWTQwzhr3z1Jn9AvEiVGv85fr160gp28VXyz0p+OAHMT/9aahW+fn3fyt/PLqLQlMTURsZJ0OcVTLvBRg6JrIuEY4VZ7GkpGS25qI0HNo1tqRZMOKYPTsEVsdqvCQeW4r1FSEge+ayKJEktjf6EpKMYdDoc50xE5zJ4FFnKNIaN9C4ix5PmxLPC7CahX0Y+EgRE4wWd0jS0BiSRLG93dQJ9UOyBiZ5WxZ3aTo1MC0RvyXBj+SSDowSghFr+AjLYhiGsWD8cj3YJw+iw9LKYdlI2CQs6xxKKRqLnEo6rXdffvlltm/fvkZbN1is9EhYpx3vWrinCSGGvrjXWnP9+nUuXbrE888/z549exIv7psdluHAWt+ENzEYLM5+mZ+fZ2Zmpu2elM1mGRsd5dC3fzv/7dQ1PrflEGnPxbUdapaDMzGOqSQVL8QWgoYfkDclylS4XoAtoFh1kUKwZ3sO21p+4WRKSRBpbClww4iK/yjLXjRdq3oha/V2FYN4TKwfZMLjjpJU+1xb45T3pGuvaLpzRTSAagiWH2KLACUgZUj8SLa3NeYlCzfM6JM/00JSB0bQ39o5/pzeXbAW+nVpWiJ+kLhhgCDW7xhN4pG3ZDMTJhmD1rA8DYbdPrnlFDqIkbBhDQF/UmxowvIs3KAXj4TV63Wmp6fRWq+I9e5aYiWL+c791rLjXQsMM2EJw5AzZ84wMzPDm2++yejo6LJetxEIy0a5lqz332HQWO/7Q0rJyMgIIyMj7eyX1vjYv/rQd/Ar2x8S1BtklcTP5HDGRhGGRSjAQFN3A9K2EetGwgitodQU3eeVYiS3tFjLmsaS7oqt4iJWCZhtdO/45yyzb4ejXzdACfp2X6Sgb5AkJAcnWkoSRL07+EqIrl2lluA/1HGXpdKhsRHNxHqrGfiogQTpyrICHG0lEsfODCUJnlInA49M0DSt3yB+z3255Y9JD6uRTD/75Nu3b6+JfXKrnhuE6H7fvn2D2KShwYYmLM8COsek7t+/z6lTp9i+fTsvvPDC0KxoDAorNRL28OFDTpw4wbZt2xLHm1YaQoihJCwtLZSUksnJyceywx5mErZctArb9Uxc1vO2P5OIIuSpU8jr19HZLOGbb0I+3/cllmWxbds2RKbAfztTxt1ukRWaqhfg+z66WmcsJ6nXfAylsEwD7QVYjkW14SNoFrpRxKG9o7iet+QzHENS9cN26nrVCyk2rZNzfUaE+i3GpwzRN/skbaq+hCXpcScp80Qni+1ThlzSAdKLgiMXEw2taXdjABxDEESP3LqEaDmYPXoPU/bfFwBRX4l8c9Qr4T0EyTqZ2DZ56XMcJSnYyxeur7ToflDotE8G1sQ+uXWv3BwJW4pNwrLO0Uq6v3DhAjdu3OCll15i586da71ZK4JBj4Rprbly5QpXrlzh6NGj7N69e2Dv/aQYxrT7FqHbsWMHL7zwwmPfeDZCh2UTGxdDSeQqFaxPfAL1h38Yu30BevduvB/+YaJXX+370iCK+IdfOcfDhs+IbRKEGsOQKMsipwSVuotCU643MLQmnXYoleukHIuGF2Aaktf2TiCkXjLB1RLLKwEl16fzCQXH6JlfYinRd9zLNhSB3/vxhIZDtyiUBTASkt5TpkoW7Hf5EI1u8xVbJRMNJQSujqgHIfWOv5tS4hgCJZpBkYuI0IL3INmaueXw1g92giA/3q7utslb049nQjOsHZYkPI598ujo6EAmM1rk7mmvS5s5LOsMQ3kjGjDCMKRcLhMEAZOTkxvOFaITg1yp932fkydPUqlUePvtt8knrFyuFoapG9GZQfM0hK51Hq7XQMyNhE3iuBDDuj/MX/s11O/+LtGePZDLQRAgr1zB+vmfp/FzPwd9rvP/5KsXeHe2io5irYUhQRiStIwzTLLpNJ7nM2oLIj/A9wKiKKTeaJCyTWzHYaLgUKrWaRESBViGRAnRkWy/8FxWQtI1RZJYMF/1+7l/9SEzCdoSUzZHtXpdWrTGSxiNUlL02vT2Z3QlAB0ZMCppvErrniTCjyJ8L3ZtawQRUggcJTGVRLIwLNNU/bNXoLVNTyfIBwh6PGdr+vFsgdcrYVmM1bBPHoTgHjZdwjYxZHjw4AEXL15ECMHk5OSGGwFbjMcJyeyH+fl5pqamyGazHDt2bKg82YeFsARBwOnTpymVSk+dQdNp17xJWDaxiQR4Hup3fgddKMRkBR5lfFy5gpqeJvyGb+j60v/71A1+93qRCDAjcCxFxQ9RQmNJQSPSEAUIIXAjyFkWWoQYqnndiUL2Fwxu3LmLEBJTaLTboIwBXhwI2Q2WFNR6EpK4IO+FnGX01WPYhqTWp/uSMhTVnlbI8bhYv+R6gU4McbRVl3Ew9KORsD5kpL2dpkrsaLTE+pHWsb1z83sJ4v1gK0mo+w+ELUeQr0SyTsaSoqvup2AZbc3ScrFRCEsnFtsnh2FIqVR6avvkQY3PbRKWTQwFtNa8++67XLt2jb1793L37t0NT1ZgMMV8y0nn4MGDHDx4cOgK6GEgLNVqlampKSzLGkgGTadd80a7aa0nDNuxPiwYuv3iuoh6Hb1YJ2YYEEVQqXR92dTtGf6vk7cQQiODiJRlUGz4pAxFCk3ND0kbktlGiG1IUpGmHoY4tkHDC0hZBvu2jfPczhHcIKBUnOVBpcH8/SKR57E9dJktjGC1V44f7bespaj2IBVZU/Udx0rqTCRpMZLDE/u/f8pUiSGOXT+j+SfRdAerJ2zncgy1ehE3TayFiTTMNcmIrWICo6RA60ff0FqGJXKvUa9O9BLkP253BYbLJWyloJQaiH3yIDosWmtqtdomYVlPGLob0QDgui4nTpzAdV3eeecdoiji9u3ba71Zq4JWMf8kK/WtRPZ79+7x/ve/n4mJiRXayqfDWovuHzx4wIkTJ9i9ezdHjhwZCMHoHAlbjygWi1y5coV8Ps/4+Dj5fH7dXlvW62/wTCGbJTx4EHX8OHpsrK1lEKUSZLNEhw4tecmDco3/46sX8dHUvTgEsuQGOIak4QakLYUtJTMNH0cpGg0fxzYxDRGTFdMga5vsGssQRJp5L6ISSUzLZPzOHeTp00yUS1SzOeqjYzx46UWMQgHbduLcl6h3gWUqidfDfUsK+mpbYpvg3sesJWVXUXgLAhK7GjLhXLZV921oG3Egehb3j7ZDJ7p6pZRMdDozpWgn1ceZKY+eb0mJY0h0pBMHwnqNerWhu3fFlBCMO48/Dqa1fuYWq5Zjn9wiL532yZsjYb2xoQnLRsPMzAwnTpxgfHyc119/HcMwqFQqqxKmOAxoncSPu1rTcrgSQnDs2DFSqdRKbeJTY61E91prLl++zNWrVwdu3LBeCUtn5szu3bup1WrcunULoJ0yvhY+/ZsYHIbymBSC4Lu/G/Xuu8gLF2LS0mggajWCb/929HPPLXh6GIb8r186Q8kLqbgBNhCYAlsI6g2fiVQsho90SNpQ1Ooe446FrzUqEqRMg8gPePnoDixDUqw/siVOXb+OOn2alNugli8gtCZdnME5cZLZb/omqtUqjbkiVcvBdmLyYllW+5yXQKPPuFbOMvoSFjPB4tc2BLU+415po797mED33b7lbIMQyaQoZahEMtJHAtRGP7G9F0WEvqas45SXFoFZ3IFJ+j4Qj59169KMOcays1daaC3APWuEpROPY58Mg9lXm4RlE2uCzmLyhRdeYPfu3e0bQkvX8SzoA1on8eMQlgcPHnDy5Em2b9/O0aNHh/6iuRYjYUEQcPLkScrl8ooYEHT+busFizNnOt1fWkF9rRtNNpttk5flzimvBTb69WEjIfrAB3A/9jGM//yfke++i962jeDDHyb4s392iXvUT/3OeW5VXeZdn4wUWKZBGGr8MCRjSObdeOxLeyFuGGKZBn4QYqcsdBgR1BocOLCFchCyIINea1LvXo7tiqWmLJvXXBkh5+cozM+j9+5lxJIUK3Vc16U0O0sURVi2jW3bbM1n8LVuC9MFsWNXq+aNtMZopsSHUTzyFGpN1PzHD0OCSC9wARMi7mqopvtgpDVKCKQUSOKOSbum1hpTxu8foRfYB0OyHTL0zm9pkd2UoRK7J33yMoGY2CXpaJxluHo5SlBtEjgvivC8R8+3lcRREilYhiS/Ox7XHQw2CUs39LNPfvDgAb7vc/z48Se2T46iaHMkbBOrD8/zOHHiBPV6vWsx+aRdh/WIxyl8O3U+L774Irt27VrpzRsIVpuwVCoVpqamcByHycnJp9ar9MNQrmZ3QaPRYGpqCoDJyUls28ZrWssKISgUChQKBQ4ePIjneW2by9OnTxNFUfsmMz4+/lh5NZtYGwwrkYveeAPv9dfB92P9SpeC799OXeOPbxepBhF5wwA0fhCihEBEESEC2zJx6z6WoQi0xtIa0zbRrkcYQWY0QyabYswxqXQUuPg+qtFACEE93VH4CAlCIOfmQIIbxe5Jrc51EAS4jTqBW+e927NEQmE6DtKykaaFbBIfS4q+dsVZqzuZiC8jGseQfYX+UrQs1R/9zZACUwpMFafRa60xZEx8unEOW/XuRrT+mjQOJgW4fbpAEHc0koiTTHAyA+j3Ma0RMiuQBFo3NTACiYizYJrP65XPYklJwXr8GmOTsCSj0z45nU4zOzvLxMTEE9sn12o1tNabhGU9YVhvRMvF7Ows09PTjI6O8v73vx/DWPpztUjKoOYehxktb/KkETjP8zh58iS1Wo133nmHXMtpZx1gNQnLvXv3OHXqFHv37uXw4cMrdr4IIdZNFkupVGJqaorx8XFeeukllFJ9t9uyLLZv38727dvRWlOpVJiZmeHu3btcvHiRdDrdJi+FQmHNz9H18BusJoZ+fwgBPRYRjt8u8u9O3qARgS2g6gWkjFhi7rk+2lDx6n/DwzIVDc/HsUxMrQlqLl4z+HHfzniVd3G9rA2FNg3G5maojW/teCDOCdHpNCOWQdWPMKXAkIIw0oRSoq0UjpNCE1+PG65LY26eIAgwTQvbttmWzxCiel53jITRI1MJ3D63goy51AggiDRBpKkHUQeheXQM2IbCan4XKQSGkPj0uB5rvaxxMGcZ2pRELCPYMs6aSQ6/bLmZxQQm/rtobqepJJYCN2BJV2giZT7RPWJQuSLPCsIwxLKsp7JPrlarAJuEZRMrj878iyNHjrB3796eJ3tr1eJZ0bEkFfRzc3NMTU2Rz+eZnJwcKsvi5WA1RPed3adXXnmF7du3r+jnwXC4nyXh9u3bnD17lsOHD7Nv377HvsEKIcjlcuRyOfbv399u88/MzHDu3Dl832d0dLQ9PjaIkLHH3b5NbAwUay7/6LfP4gaaMIyoa9hiG1RcHwVEhiKvJFEYIYQgCCJs00AFPpFS1KIIheTwgS0oKRmxuzhlCUFj/37E6TkIAjBU3N4IApRpYB7YRxjFY1sVbynxy9kmZS9sCvMd8vkCYRjiui6u2+Duvfu4OhYnO7aD7dgY6lFJUu9jZbwcG+EkpA0VWwd3wA1C3I7/N5XEDyMsFetBDBmPVEU6tjU29MJxte7of94tpwPjGMmWyLaUVHuYGzz6rO7dIA3Uw4h6GOEoiRdGOIbCVAKaY3pbUk92L910h3w8LF58Xq598h/+4R9y8OBBvuVbvoVqtYppmgPRV37qU5/iZ37mZ7h79y6vvvoqv/ALv8Bbb73V8/mlUom///f/Pv/xP/5HisUi+/bt45Of/CTf/u3f/tTbsklYhgye53Hq1Ckqlcqy8i+EEAPLJ1kP6FX4aq25desW58+f59ChQxw4cGBdFmgrLbr3fZ8TJ06sevdpmDssURRx4cIF3nvvvYE6yHW2+TtdYh48eMClS5dwHKdNXkZHR9e8+/KsYr1dJ7TW/P0vnGS26oEhiYQgi6bc8LENSdkPsaWGSOP6AY5l4nk+EjAQVN240zIxmiGXiUcWTaVwF91DtIbwhecpS5BXrmKWy1j1OrWREWb+h2/B1hLdIdBfjKDLKJVSinQ6zXg+ixdGBH5Ao9GgXq8zNzeHUgrbsRnPpPCxED0K3axl9C3gpRR9s1uARF2JY6i2IN8LoyXdiygIcH0fKXScUK/1khE3KcBNIBG2UtQThP/LGwdLCpNcXj5La7/GOTDx3/OWQfYJxsFgk7A8LpKmZXrZJ3/mM5/hZ3/2Z6lWqxw5cgSlFKdPn+aVV1554mvcr/zKr/DRj36Uz3zmM7z99tt88pOf5CMf+QgXLlxg69atS57veR4f/vCH2bp1K7/2a7/Grl27uH79OiMjI0/0+YuxoQnLersRlUolpqenyefzjxVoKKV8ZghLN3IWhiFnz57lwYMHvP766+0TeT1iJTsR5XKZqakpMpnMqnefhpWwtDRiLZvwTCazIp+z2CUmCAJKpRIzMzNcvHgR13UZGRlp34jS6fSKXL+G8TdYS6zH/fGJ/+c8F+7NYTsWZT/E9wIytoEwJCUvIGUoLD/EleBYJn7DQxmKat0lsk0s00AqwZ7t8WKYrUSPFHpNxjKw/4dvpP7ii5TuPQDbQW/bBlKSswzmvaDL65q5JH00GY6S+KHGNE1M0ySXyxHpCM+Nx8fmSrNUA41lWc0OjI3ZMRpnJBTwGUP1+E4xpCBRM5I0khbqiDqK2cajfWAIgWNKrOYIlCVJzGcRy5C/JwnyTSkSyUjKkInmALbq7rq27QmyV1rYJCyPh9ZI2HLRsk/+7Gc/SxRFHD9+nM9+9rNcvHiRyclJ8vk8H/rQh/jwhz/Mhz70ocdyAP3EJz7BX/trf40f+IEfAOAzn/kMn/vc5/ilX/olfuzHfmzJ83/pl36JYrHI7//+77fri/379y/785KwoQkLDG+h1IlO+9TnnnuO/fv3P1ax8ix3WGq1GlNTUyilOHbs2LoXOa8UYblz5w6nT59m//79PPfcc6tO5ofxPCyXyxw/fpxcLsc777zTVSO2UjAMg4mJCSYmJtBaU6/XmZmZaWe+mKbZ7r6MjY0NZNvW2wLOJpbiN07f4IsX7mCaBiXXJwwixmyDehARChHrNmoeuYyDF4T4DZfIUFSqDbanLeo6duY6sn9Lu3tRaI5uPYImbSrKUUjJA6/qQioL+7Mdz4BGn3tOylCU+xCGbsW1FBLHcUilHEw5Stb3abgurutSqVQQgni8zLIwRbrpA9wL/a813cbBlmxjAklIKcnsonMq0JqKF9JiUxlTEUSxQYDZJECdfEAKaCSOg8nEYEtLSfyETo5YhjdYLz6zPfPko0XPgiHQIPE0emQpJW+++Sazs7P88R//MSdPnuQP/uAP+K3f+i0+9alP8QM/8AO88MILfPjDH+ZjH/sY27Zt6/lenufx9a9/nY997GML3v9DH/oQX/va17q+5jd+4zeYnJzkb/2tv8Wv//qvs2XLFv7SX/pL/OiP/uhAjoENT1iGHb7vc/r0aebm5njzzTfbNnePg2eVsNy/f5+TJ0+ya9cunn/++Q2xijNowhJFEZcuXeLmzZu8+uqrXdu4q4Fh07Dcu3ePkydPrhmB64QQgnQ6TTqdZs+ePQtmlK9cucKZM2coFApt8X42m33i7R020riJ5eP8vRL//A+v0vBCIhOkjsX2FTfAtAxMranXA7akLBquj1KSQErcuk/KNqgGEbZtsmNLjrQTr+AKdJs8KBEXx3ONgPueC4ierlMF2+irIekX5pg2JP2S77OmQS0IUYZBxjDirqfWeL6P22gQNqrcKs9jGga2E+tfFmS/LGMcLOn06RwH6wmt+76RAmp+iGYhQVNCkDLilHpLisSuh0yaXYPEXJXljIOZsvtzCpZBxnzyYnOzw/J4GISBUrVaJZPJYNs23/RN38Q3fdM38b//7/87s7Oz/PZv/za/9Vu/lbi4+/DhQ8IwXEJqtm3bxvnz57u+5sqVK/z2b/823/M938PnP/953n33Xf7m3/yb+L7PT/zETzzVd4JNwrKmmJubY3p6mkwmw7Fjx57YUlYpNVTF4EpCKUUQBFy8eJHr16/z8ssvs2PHjrXerIFhkKL71rhTo9FgcnJyxcadloNh6bB0ZhqtluHA46JzRvnw4cPU63WKxSIzMzNcv34dpdSC4Mr1ZiwxbFgPnaeq6/NTXzrDfM3FSlm4QYT2Q5SSSNsg9IM4cV2C74doQ+EGAULHxaoVaKy0RTplsnPrI2v8EcdEa0gZgpm6z5z76BxVAoIe+8ZSconmpYWMKfuSGduQeH0W2LpOYgmBZVlYlsWIPca86+N6Lo2Gy2wpzn6xrTj7ZTybxhOynf3S5a2eehwMAY2wf/ZZylRUunSZQq2p+CEVPyRrxvoVx1DYhkQJsUQLk0Q0rGW5gyWL9k0pu6bb78g8ndV9yyVsE8vDIAnLYoyOjvLd3/3dfPd3f/dTvX8vRFHE1q1b+Wf/7J+hlOKNN97g9u3b/MzP/MwmYVmv0Fpz8+ZNLly4wMGDBzl48OBT3TSfpQ4LwOXLl9FaMzk5ueFs+walR2q5pRUKBSYnJ1d13KkbhoGwBEHAqVOnmJ+fX1d216lUqm1x2ZmQfP36dc6cOUM+n28TmHw+3/Nash4K89XGWh+TAIQh4s4ddDoNzaTrTmit+d++cJLbczVStsm8FyKDEFMKQikIXR9TSequz5hlUNMCPB9DShpegG0ppBAIrTmwe4yW2txR8dr9w7q35DNNKalEGtmlbhKCvvknjqHwvB6Pa913vCkmE32uf1rTCOMV+5STIuU8yn5pNN3H7tyZI5Bx98W2HRzbXlAwZ0zVd/uhf6I8QNZQzNR1395H0pEVj4NFaAT1IFpAouymK5mjBF7C+pUpJV7SONgyTv1uon0BbH9KwrLZYXk8DGKErhdheRxMTEyglOLevXsL/n7v3r2eC307duzANM0F23/06FHu3r2L53lPnfO24QnLMBRKnQiCgNOnTzM7O8sbb7zBWJcb1OPiWSEspVKJcrlMNpvlrbfeWvMifCUwiNGplj3vIMjwoLDWI2G1Wo3jx49jWdYTBWQOy3WkMyH50KFDbYeYmZkZbt26BbCg+7LY1nIYvsMmHkF98YtYn/404sYNUIrwm78Z70d+BN1REPyLr13ij24UETqi5AaklcATcRegNbLlewFp08AHpI4II40bBDi2gRGESMtg944RbMvEURKNpuIFVHuYfI06JuV50fXaMWJbPfUfWuu+3YuMpfpa+OaspdkpC19vdO04GIZB1jDIZzOgoeF5uG6DSrnM7GwR0zTb1slZM9Xz/SHuACXpV4QQaHqPhMkEUgfdc2JaaIU8hs0ujaUEaUOhBETEXZgW/IRzukWM+iHu0ix9nxHbwDGernjeJCyPh0F0WCqVylMv5lqWxRtvvMGXv/xlvuu7vguIf8svf/nL/OAP/mDX13zwgx/k3/7bf7vgN7948SI7duwYSCj1xqv4hhgtl6ZUKsWxY8cG4pENG5+waK25ceNGO4hv586dG5KswNMV9p32vK+99hpbtmwZ8NY9Oday4J+ZmWF6epodO3bwwgsvbKibZ8shZseOHURRRLlcZmZmhtu3b3Pu3Dmy2WybvGySle5YK0Kvfvd3sT/2MUS9jh4ZAd/H+I3fQF67Rv3f/BtwHP7g8l1+Zeo6UmikVOSUYL7hYymFkBLX9ckqSVVrpNZoIfG8AMtSCDRRFJGzDJysw84tOQwpeVCNk0a2Z23m3O4uX6HWPY+XfqdP3jb6ajIsKXH72Hv1GuNqISksMm3E+hen6SxGnnb2S8N1qc0UmStqTNvBtuMRMnPRvSTexj5dIJojZbp3hyVtdB8Hezw86kZ5ocYLH/1WLQITh3UmBVcuZxxM4HXRwTyN2L6FTdH942EQhKVWqw1k+uSjH/0o3//938+bb77JW2+9xSc/+Umq1WrbNez7vu/72LVrFx//+McB+Bt/42/wi7/4i/zQD/0Qf/tv/20uXbrEP/pH/4i/83f+zlNvC2wSllWB1rpdQBw4cIBDhw4N9Ca5kQlLEAScOXOGYrHIG2+8wY0bNzZ04fWkhMV1XaanpwmCgMnJyVUPJUzCWhCWTqJ79OhRdu/evaqfv9qQUlIoFCgUChw8eBDP8ygWixSLRU6fPk0QBKRSKSzLYnx8fN076g0Ca3ktMf/P/xNRq6F3726v1Ot0GnnmDOp3foe7H/xm/ulXzsVhf5EmRFOuBTiWwo40NS9gxFQ8bIrqRRDS0CGObdBwA9KOAa5PoBQvH9pKyQ2IOorSXp2QjPFoZGrxXcqQsq9dsKlkb/ewAYyDJXU+upGpVvZLOp0mYyrm6g3chtvOfjGUwnYeEZgkzUi6aQqgeXKy2yY9/T7HUNR6PKdFYLKmpOJH2EqSMiRSCCIWamCWs4XdRPuDGAeDTQ3L42IQ+6tarQ6kBvgLf+Ev8ODBA378x3+cu3fv8tprr/GFL3yhLcS/cePGgm3ds2cPX/ziF/m7f/fv8r73vY9du3bxQz/0Q/zoj/7oU28LPAOEZa3HYYIg4OzZszx8+HCgoXSd2KiEpVqtMjU1hWma7Y7UrVu3NuR3beFJRPelUompqSnGxsZ46aWXhrL7tNqEJYoizpw5w4MHD57YfW+9w7Istm/fzvbt29Fac+rUKcIw5O7du+1uZWt8bGRkZLOoWE1ojTxzBp3JLBwrsm3QGn3xMv+wNMKcG1CtByhDEgiNZUjcuoeRtrDDiIcNn5SlCCoNwoyN0uB6ASnboFZ1GVOSPXvHKS7qpIylrJ7kIGsbzLtBVxesvG30JCwC3X5PgUZJgRKCVri6KQQRcXcg0ho0zT5GnBbvSIkXaYRodloESOJrhxBgCUEkBJYUIOLXRFo3x6NEorYG4vEoyzSxTJNcLkukNW7TOnl+fh58H2nb7fEx0zSXFPwtPb7u4RImINEyOW2qRMIil1G7tIhGa4SshVj/IuPgyuWI9rsQllHHxFZPf03YHAl7PAxKdD+oCYsf/MEf7DkC9pWvfGXJ3yYnJ/mDP/iDgXz2YgxfZbOBUKlUmJ6ebhfcK7WiuREJy927dzl9+jS7d+/myJEj7QveRndEe9wOy82bNzl//jyHDx9m3759a07Qe2E1NSyNRoPp6WmiKNoQ2TyDgBAC0zTJZrMcPHgQ3/eZnZ1lZmaGc+fO4fs+o6Oj7fGxYevQrSTW5JwRAr11K/LKlYXi7DAErfnZRoELM2XKjQBHSUIlYzLS8BhPW8y7AVpJUoaiXnPZlnWY80IsU2JZBm65Rso0yG7Jk+oy1mNKQb3LZmn9SO/QbXlBL3iuxlKxsxWimZIehDSCqKut8UTKYs7tIZoBRh2DuT7zXuMpo+frLSXJm4qogygBRJEm1K3t1kuKdykEKcch1bxGOEIzU6nTcBtUKmUQot15cWwHKRdmonQ7ctKGpPq0ZETrvjk38XcWPd3YGkFEI4jImoqq75MyFY5SSNES1z/6fKPXOFj66bsrsElYHgdRFKG1HoiG5eDBgwPaquHBJmFZIbz33nucOXOGffv28dxzz63oCauUwnXdFXv/1URnbsjLL7+8xI1ircXbKw0p5bI6EVEUcfbsWe7du8frr7/O+Pj4Kmzdk2O1Oixzc3McP36c8fFxXnrppc3Z6R4wTZOtW7eydetWtNZUq1WKxSIPHjzg0qVLOI7TJi+jo6Ob+3EF4P8v/wv2xz8Os7MwMgJBgLh3j9848Dq/ZY1RbQrsfUOiI00UhFhCMNfwUZZJFIYETUvceT8gZZvoMCSqNvClImcodu1a2lk0lVgUFPkIo47Zc0XeUQqtNbYSNIKIihcsEH9PpCx6Jd+TIMYX0FdsD/TVxnhhRGBK5hvdP99SkoKtiLTGlAKBINQRQbSoSaIUmUyaTCaN1uD5Hq7rUqtWKZVKpE2FslM4th3fh7p1WBLIiEAnZrw4pkoUytuqvz00xERNE+fStLJpJJC2VNw90eB3+b0FsG0A42CwqWF5HLQWnp92f9Xr9Q256LThCctqr56FYci5c+e4d+/eqgmfB2WFu9Zo6TB83+edd97pKhqTUhIEPW6KGwDLIWSNRoOpqSm01hw7doxUqr/rzTBgNQhLa5HgueeeY//+/UPbbVor9LM7zmazZLNZ9u7dSxAElEolZmZmuHjxIp7nUSgU2tkw6XR6w+zbtdSwBH/xLyKvX8f4T/8JcesWSMnFvUf45Df8T9SEwhbgRxECgY5CtB/iWAZVAaEfIIXA9UPGHRNfSoTrE0SaShBhGJJXXtpN1OV3GnUsyj2IhWXINmGRaFJKYClJxQuwleROpdH1dQKo9inCc5bZV/idt42eJAogbSY5d+m+42BeGOGHijlvYYemHeJoSAwpiJojaa1pL9uysC0LcjmiKMKMfIrVBqVSibDZOahUKk3xvgn0J2YQGwPUlyGC776nH8FPCJzsHNHrRARUvJAKIZaMx/PSpsJUMh6zY3DjYBATls2sqOWhde8fBpewYcSGJyyriWq1yvT0NEqpVS0kN8KY1OzsLNPT04yNjfHGG2/01GEopfC8pbkBGwVJhGV2dpapqSm2bNnCiy++uG5WrlayM6a15sKFC9y6dWvo3NGGDcsp0A3DYGJigomJidimtl5nZmaGYrHIlStXME2zTV5GR0eHUjO1LmAYeP/gH+D/pb+EOnWKmmXz964pGl5E4AaxDsSJU+vNKBZWV9EQajTQ8ALSjomvQTV8yoDnBzi2yZHdY0Q9Cs6wRyq6FIIg1E2Hq4DZhk9DGKRFfL11jN7nb8E2+xIW25B9CYtKIMApQy1wyVqMrGUk6le6fX5niGPBNtquaY6SOIbCUgJaNsJSYpgpRkwHNMzNlfB8H9d1Kc/PI6Qk79gIK85/kT32v5KCPkZpwPJS6ZOcv9J9bJNbsJWk7IfMeyGtjbKVYMvo4GqXQWgynhW0BPdPuyBUrVbXTc7Y42DzTjMg3LlzhzNnzizRXKwGWunv6xFaa65fv86lS5c4cuQIe/fu7XuybvSRsF6i+07Hq+eff549e/asq1Xuleqw+L7P9PQ0jUaDycnJpw7L2sh4kuNFCNF2WNqzZw9hGFIqlSgWi1y+fJl6vU6hUGiL97PZ7Lo6LmHtjVn0wYMEBw/y47/2h8y6s9SDEEMJ0rbJg5pHwVTUw1ibEYdB+iglsUyFFYRoIZkLQqQQOLZJNmNzeO94V8vinGUsEYSnmgnrQgjuVh+NFsenq2g/p587mKEE9LkF9XUHQ/d9b0gOcjSlpB8LSC1jxKrTQa0RRjQaLmJ2FiwLXRghbyk84vEyACljXdjIyEjsYOZ5KL/BbKXC7OwspmW19S+2ZdFq3SRpUxwl+o6/AdhK4SeFRfZ9NEY3rZEX6oHYGbewqWFZPgZF7gYRHDmM2PCEZaVvRlEUcf78ed577z1eeeWVtt3bamK9dlg6QzSX6+S0UcbfeqEbIQvDkDNnzvDw4cN163i1EoSlUqlw/PhxMpkMk5OTmyv9qwClVLu7cvjwYer1eju48vr16yilFgRXDvsoyLBYpP/7P3yXqeszeEJgijiNZLYRMGYZFKsuGcvEr9dpzMySqldpKJPRTIrG+ARlz8VxLIIgxDIUh/dP9FxZz1ixcN0QEscQVLyQ+7W4g7I1vbhI1W2JRs4yKPUQvMf6kz7jYGb/HJCsZfTtBDhKJo5Z9bVDBmwpafTJVjGEeJSbokGdOok8cRKaC4F6bBTjW7+ZUm6k/Zr5uo8lQQlQUmKmHHBsjGx8zfaa2S+zxSKaeLwsn3aILKfvtcqUfayhmwgTjluxjNE0S3YX7U+kTFJPGRbZiU3CsnwMwtJYaz2wHJZhw+Yd/ilQq9WYnp4G4NixY2smclqPLmGVSoWpqSls236sEM31Ss6Wi8Wi+3q9ztTUFEKIde14NWjCcv/+fU6ePMnevXs5fPjwqqySa63XfDX+aTHoAj2VSrFr1y527dpFFEXMzc21ycvZs2fJ5XJt8pLP59f9/ktEoxHrUSwLvWdPzyT0Tpy+9ZBf/oN3CQE/CEFDyjZIByGzNY+0baLn5gnu38UOQvwIxmqzVO9LvIaHs2cXDdcnZRns2z3Gjny6p/g9ijSOIZmp+cy6j44FS4qeuhbo3+EoOGZfwmIbikafcS5TSehDWNKWZL6Pe1jaUIkFvp9wz0ibqr3P5MULyK8fh1aSvQYxO0v0H/4jfM/3QpOEazRuJJipx0QuZUj8SJMxFY5hkDIN0ulYvO8HPm7DxavXmS/NoZTCth0cx8ay7AVFareuRycMIZoErfexlTZUolOZrbq7g+3ODfYes0lYlo9Bdlg2Ccsm2rh37x6nTp1i586da56evd4Iy507dzh9+jT79u177GJzo4+EdX6/VkL79u3bOXr06Lq+6A/qd9Nac+XKFa5cucLLL7/Mjh07BrB1zwZWmixIKRkdHW13AF3XbXdfbt68CbCg+7LcRYqVxqD2i/rqVzH+w39A3LsHhkH0/PP43/u96H37er5mrury8c+fpFLzCJUCrbGkoN7wiKTEMRW1aoN8aQYv1NhhgBNpZuwMo16dYH6eYH6EdC7D+HiWfD6FXvR1hIg7JEoI3qt2l3KPONaSEbLWSFjGlH1zRYyE/Zekx6gnjIMlvLypj+n9HpaSPQMYu0GdOhX/R+t7CbA9l7ptI69eJTpyBIj3j5SPvrutJPUgWLAfBZAxFSnLJGtbSJkjE0S4rofrNpifnycIAqzm+Fg2lcLFoB8ZcQxJxe+/8LCsDJcubyGAPStAWDY1LMvDs0xY7t69y0//9E/zuc99jtu3b7N161Zee+01fviHf5hv/dZvZf/+/RufsAz6Jh1FERcvXuTWrVtdbXfXAuuFsERRxIULF7h9+zbve9/7nmh8br181ydFa+Tt6tWrvPvuu7zwwgvs2bNnrTfrqTGIDktrhLBUKvH222+Tz+cHtHWbWAnYts2OHTvYsWMHURRRLpeZmZnh9u3bnDt3jmw22x4vy+fz65uQT01h/rN/BkGA3r49DiD8kz/BKpVwf+InoIsAVmvNT/3m17l+b45UxiEMIzwvxDQNUAYKje/6FByD+YbPRLVCzbapo8iHPqVMFif0oV7FGM2zZ9cYGVNRbhbMSkLWNJite9wrN9ia7V2I6h6pK0LE3YduepjmU/p2VzJGf+1IJiFA0ZT93x+S9S19t59FI21RBJXK0vdw68w5KcRcqeOvC/dZN2KmoS3qd4zYDjptKNKOTS6VIkTj+UEzvLLBbKWMi4xzX5xY/6KUseg9E66jWlNPuEcakqa18sL6aNQxSZuDJRebHZblYxCEJQxD6vX6uiIs165d44Mf/CAjIyP8zM/8DK+88gq+7/PFL36Rv/W3/hbnz58HNjssj4V6vc6JEycIw3CoBL7roYhvhfk97b7b6B2WKIoIw5Br167xgQ98IBZ0bgA8LWGp1WpMTU1hGAbHjh3DsgaTEfCsYa00G1JKCoUChUKBgwcP4nkexWKRYrHIqVOniKKIsbGxdgdmtUYfB7U/1O/8DtRq6BdeePTe6TTy0iXU179O+M3fvOQ1n/3dc3z96gzplEUjiKg3PEYdk7IGpaM4e0XHK+FjtSplw0JEsd1wFEakifBDjURw5PB2hBDkbZOy75M1DGbqHpVG3FExlWCux8iXY7RITrfFPYHXRwA+4vR3B0uZCq8PWXCM/vqUrNXf7thSIlG/0ssVrYWMqR7pV4SEVApqNTr3R9TsfumOIjC2PhYd25EwgiUlDTS1IFrQ8UkZklwmzUgugwHMNeLuS61Wo1QqYRgGtu1g2zYpx6LeO3szfr8EEgiQUopyF9H+7tzgu56D0GU8KxhUyj2wrgjL3/ybfxMhBH/0R3+0oDZ86aWX+Ct/5a+0/3+TsCwTDx484OTJk2zbto2jR48OVYtz2AlLsVhkenqaiYmJpw7z28iEpVarcerUqXa+yrCMzAwCT/O7FYtFpqam2LFjx5qPX65nDJN+xLIstm/fzvbt29FaUy6XKRaL3L17l4sXL5JOp9vkZWRkZOh/c3nzJiwuEEwTDYiHD5c8/w8v3eFX/ugKQmvqoSYMI0Ysg2oQFyxREOH5AYWUSSOIKI+MY8wWaRgWtg7BMal7IbYQHHhpH7ZlIEUstvb8iLuNhaNfo47FbA/CUrANSl0CF7WGjCn7EgIzwR0sSHC7SrLmTULaVMz3IURKiMQOzQJLZQHhiy+i/uTrcXtEgBH4VNJZMA2ijvTwWNMW/3eS7TK0EuaXoh5E1IMIQ0IQaRxDUcjlUIU8fhBSd+Pwyrm5EpWiD1YKx4kJjGkuHR9LsoiG3qL9QetXYLPD8jgYxPjceiMsxWKRL3zhC/z0T/9014XszkXbTcKSgFby+o0bN3jppZfYuXPnWm/SErSE6MMmCtZac+3aNd59992BWfEOOzl7UrQI8datW6lWqxuug/AkHRatNTdv3uTChQsbZjRuE0shhCCfz5PP59m/fz++7zM7O8vMzAznzp3D931GR0fb2pdBm5sM4poZ7dqFunFj4R+DAAHosbEFf35YrvNPPneCwA8xLIUXaqxI40YR0jZwGwFSQME0CZpR7NH4BG6tjuPVSdfrzKWz2BLGD+1mZOcE43ZTo1LurlHpd8X0e3YgNGlD4vZ6VNNOT+8GR6m+3RdHSep9Xi9F8jhYAh8iY6m+HRpYSpqil19GVKvI8+dBa7L1KvPbdhJ8yzeDvbCgF02yECR0cR6NtvU+1jKGYs4LaQTRgjG6tGEylnKQYgSlQ2Yq9Tj7pTyPEKLdfXEcGylVomhfCZqapIXbkrcUeWvwJeEmYVk+BtVhicnscDs0tvDuu++iteaFju50L2x4wvI0N6NGo8GJEyfwfZ/JycmhZaytAzwMw6GxdvV9n9OnTzM3N8dbb71FoVAYyPtutA5Lp4j8pZdeYnx8nNu3bw8d+XxaPC5hiaKIs2fPcv/+/XVr5TyMGBYb334wTZOtW7eydetWtNZUq1WKxSIPHjzg0qVLOI7TJi+jo6ND0e0Ov+VbUNPTiKtX0Tt2gO8jbt4kOnCA8I032s/TWvOTv/bHzNY9DCmoeBFGGBAISco2ma15OLaB8nwiLYgMidvwsWwTDuyDuTmCcgWZcjC3jPHKB48ShZqZSoOxHhqVlCl7OoClTUW1R0GvNXgR0KPWzNtG3w5JxpTNQMLuSBoXy1n9gw+VIDEsUiSkkaQNtdRQQAjCd94heuUVxIMHBI6Jv20nLCq6tdYg4o5G0nbEOpr+z+n1TVsjZAKNKSVWKsVILgtoaq5Lo+FRqVQolWZJmQbKTmHbNpZldb2HpAxJpct+XYnuCmyK7h8HgyIs6XR63dQPj3NPGo7qdoXxJKu7Dx8+5OTJk0xMTPRNXh8GDBthKZfLTE1NkUqlBq432EiEJQgCTp06tYDU+X48oLzRVqV6BWJ2g+u6TE1NEUURk5OTpFKDS11+EqyXC/9GhBCCbDZLNptl7969BEFAqVRiZmaGixcv4nkehUKhLd5/3Bv1oAhc9Prr+H/lr2D8p/+EuH0blCJ69VX87/s+6Fis+fQXT3LqvVl0GNEQAkcJAqkwdUTZD7BNia65aMuEMKLhhjiOief6WKbCGBllvjBK2pS8/fp+5poZKpaSzPYo/gu2xUyPDJWc1X0cDMCR0Ag1do9bimNIAq0xhEAunKoiQhBpja1krP3oeCyeo9KEUUTKkIjm7JUG0BChCXVPntRGrG/pP4aVRCQsJaj18hPIZCCdptLUryx5vLmolETMABIaMMvqJmXMOPQz8MP29xJIstksYyN5ojBCey7FWoPZ2SJaayyrJd53MAxFez93we4+pgxPg412L1tJDIKwVCqVodFXLwctp9iWsL4f1r66HTJorXn33Xe5du0aR48eZdeuXUNfsIhmSvEwjEq99957nDlzhv379/Pcc88NfN9tlJGwarW6IIemRepa+2ujkLIWpJRtMtYPc3NzTE1NMTo6yssvvzw0K3PDfg1YDlYivHO1YRgGExMTTExMoLWmXq8zMzNDsVjkypUrmKbZJi+jo6PLWsAZyG8rBOGf+lOE77yDvHkTbZro/fsXrMr/93O3+fWp60itiYQgZxnM1T0II+yMjfYCVKTRpoFbaWBkHUyIyYqShH6IH0aMOCa7921ZkLNRSFs86KHGbvS5lvh9ZqocCYaI9RlKxB2AINR4UUQjCLlXdXuOdJlKoPViH62Fj9PncbSmaioiHdsWm1JiKoFq3uvQehmEpn+HBvqNw8XIWEaCJXJvAtDC8shI8uiaIZcepxooewHlmLeSNS1GRmwsOYLr+dRcl3q9wdxcnP3iWA6uY2PaC7Nf0oZk1FmZcTCt9SZhWSbCMHzqBd6WpfF6uWeNjY3xkY98hE996lP8nb/zd5aQrVKp1NaxbBKWDriuy8mTJ6nX67zzzjvkulhRDiOEEGueAB9FEefPn+fOnTu89tprbNmyZUU+pxWsuJ5Hplqhh3v27OHw4cMLLuat/95ohGU5xXKL7D733HPs379/3f6+m1gdCCFIp9Ok02n27NlDGIaUSiWKxSKXL1+mXq9TKBTa4v1uN/GBE7h0muj555f8+eFcjf/P56fjEEEvwEpZzDU8ZKRxLMVcwyNnGgRC06i5jOUcZv0Qw1Q4pkG97uEIjW2b5LfmyRUWdh3rPYhHzjZ6FssZUy14zJQCx4j3jx9o7ns+DTegopeqWHKW0Tc/pWCZzPbo6sSPG5T6jYPZRpts+F7IEhWO1liGIohim2DHUBhNQgOxpsSQkt6DVmAuY5Sr33torRHQV4cDsTalnPA5y8lNScqzMaV45HbW+pvlsCWbRQG1RoPId5krzxPMPsp+sW2H50YKK3K9bd3HNgnL8jCIDkutVltXHRaAT33qU3zwgx/krbfe4id/8id53/veRxAE/NZv/Raf/vSnOXfuHPCMEJblFEvFYpETJ04wOjrK+9///qEYrXocrGUCfL1eZ3p6Gq01k5OTAxfFdqKzoB+W1fflorN71yv0sHXTWO8r4YvR7xzUWnPx4kVu3ry5omR3ExvvuOqEUqrdXTl8+DD1er0dXHn9+nWUUguCK1dLlBqGIf/vf/815t2QSt3DlLEFrikEbhgSGZKsqfCCkCiIMA1FyQ1w0haBF1B3A0ZNRRhFqIzFzh0L9VxZy6TSS6NiGTQaPcbBTEUQxSNYVS9gtv6o2E2ZkmoIvYaEUobsH/j4lLWvrfp3RzqJWC0IuwZbumGIROAYEiUlGo3ftIqGpq4kYaSsf8aLJmPKnu5fLSTW6lonEqeUIRMJS9pY+n38SDPb/v0VY7kCmTzoMKLSaNBouFQqM9ydvcnph4W2tfigbMU3Ccvj4VkcCQM4ePAgx48f56d/+qf5kR/5Ee7cucOWLVt44403+PSnP91+3vqqylcAnaLnQTlZrQXWalSqlca+WnbPnXqd9URYfN/n5MmTVKvVvt27Vrdso3VYen0n3/c5ceJEu6s5rMYWGwHr8br2NEilUuzatYtdu3YRRRFzc3Nt8nL27FlyuRxKqTaZXqn988nfnOLaTIVSxSWtJFgGeCF1P2DEMahFGsIIKQRBEJG2FIFt0qi6OCJOUC/7AbmMwXMHt7F4M1O2olLvfr1YXMhnDYUpoOGHzDZ8Kj3GkHJWk8z12CX9imch6KstkYLE8aek4jwmNH0E/cajEas5b+ljGVMRaY2jJH6ku9r8Okr2NRXQWqOk7NPDIQ5xTOjALCc3xVbJhKWXVXHntpTdAL/1PGmSL6TIWooPbrEpzc5y584dLly4QCqVWmAr/qT32k3C8ngYlOh+vREWgB07dvCLv/iL/OIv/mLXx69du/ZsExbP89pF5CCdrNYCq01YOone0aNH2b1796p87nocmWqZEKTTaSYnJxNXdjciYenWYalUKhw/fpxMJsM777wz1DaMz1qxv9EgpWR0dLTtNue6LjMzM9y8eZNarcbv/d7vLQiuHJRRyJdPXOdLp25S9gJytoFQkvmah1KCgmXgNW2LiTQNP4gdwiyDatVlzIoDHUMlcCzBnud2NYXTjyCAuR6Fe8ExqQURWUNiCsF8w2+vtqctg5ofIu7cQdy/H2eM7N0HzYUUX0dNnfnS4z5typ7OYgAjttFXhF6wTMp+b0JjK5mo+WgkhEWmDNWTbNSDEDcIKTVEuzviKEnGVFiGRABepHEMiZdArPwEkpC2VF/rZ4gNE5IIS5JtshQiUa+Tbor2O1HxA7ZnLEZHRhgdGeHAgQP4vt82trhw4QKu6zIyMtI+Px5HH9EKjdy8fi4Pg8ph2agLf88sYZmdneXEiRMUCgWOHTs21MXScrCahKXVLahUKrz99tvk8/lV+Vx4ZDCwXgr6u3fvcurUqccyIXgWCEtLx7N37962S8gwY6OMUm2U7/G0sG2bnTt34routVqN3bt3MzMzw61btzh37hzZbLY9XpbP559ohfi9mQo//7lp/FBjS0kURFS9AMs0kEFIGIVgGvgNH6UEtm1gS4HrBeQNSbHmkUqZaEJeeG4nVmZpkOxI2u4aCJkyJDlD4vkhs5WlGpSM0Lhf/jLizp323+SJE4QfeAvrhecpuwGgl3RzALKmQTHorU8xpaRf8ouhBPTx38haRscY01I4hug6AtaJpG5DzjaY69DQNMJoAcERxC5lSsTfJ9Tgh01y2foeaNyQni5qEOtKktB/7CzOcEn6vrFOpv94W69t2b9ID2WaJlu2bGHLli1tY4tisUixWOTatWvt0crWP/3I/aZD2OPhWe6wLAfPBGHpLIY6wwwPHz7Mvn37hr5YWg5Wi7DMz88zNTVFNptdM6K3HpzCOnUZ73vf+9i2bduyX7ueCNly0SIsWmuuXr3K5cuXe+p4NrEy2AjXuZWAEIJCoUChUODgwYN4ntfWvpw6dYooiuLibHSUrcUiqRMnEGFI+OabRC+9RLeqPooifvzf/T4NL6DhhxhCYBkKQwi064MhMaSg1PBwLAM/iBCRxmqOa5XDCNsxCKKALWNZsuP5roWtVAv9hMctgzAIKVVd7gdRz2LY+5Ovx2RFyUciCz9A/dEfUdi3k5lUrmnhtfS79V/t10uE34uR1E2IEshGxjDwwt6ERgnRU9PTgpFwLighmKn7CxzADCnIWQpbxR0DpcPEc6qfCxvQ1jP1Q9owEsnIck7tbiNlUgj25HrbxncaW+zevbs9WlksFrl58yZnz56NbZWbnclCobCAoGwSlsfDJmHpj2eCsLTg+z6nTp1ifn6eD3zgA22rtI2A1Sjib9++zdmzZzl48CAHDx5cswJo2DsQnudx4sQJGo3GE+kyWk5oGwktF7sTJ05QKpXW/QjmesVGO65WApZlsX37drZv347WmnK5THFmBvXpTyM/9zki10UphZHJoP/8n8f/kR9Zoqz+5G8e5/rdEjUtSBsKHWnm/ZC0EERKEjQCfNvAtgxcL8CUglQY8dCNMC0DxzbxfI9sJsVrR/dS6rLCrqRkthFgSUHBVMzXPWbm6wAUUlbPUbGUZVC9ci3+H9lRHJkG+AFcvASvvt5MR1m0b6Toq0/JW8YCu+XFyJqq7ziXTNC/QL/eTYycZSSK6ZM6FlnbYH6Ri1kQaWY7MmvmGwFGEJK2YzITa2EePf9RZ6T3fTJtSOYSxs4SoXV/AwTAlt31ODsyNraxfELROVp56NChNrkvFoucOXOGMAwXjI+1RsI2sTwMYn9Vq9UNuxD4zBCWubk5pqen252BQYYZDgNWkrCEYci5c+e4d+8e73//+5mYmFiRz1kuhpmwtDpQuVyOycnJJ3KbG+bv96TwfZ+5uTny+TyTk5PY9tLxlk1sYrWRJLYXQpDP5xk9exb7t3+bKJ/Hy+dpeB4Ui8h/9a+4USigvv3bGRsbI51O87unbvFbX78GhkEKTaXqYVgGBVNR9wIadY/xvEMp0BBFZC1FUHHxpcRJWyA0DdclnbI58twOhCGhS4E9ljLRWlOsujyoL1SWm6aCHkVs1jaY9bwuy/ICMwo6iM5ScluwjQVF+2LYhupLWFJmb20JxISnn/5FChK7J0n1XspI1oyohLU4JaAWQiWIcGuP9n3GjAX9hhTYSjDnJXST+n8MAp1IrrppUxbDMSWuu/TT9hWeLpR3MbmvVqsUi0UePnzI5cuXUUqhteb+/fuMjo6u+9H7lcagOiybGpZ1jNu3b3Pq1KkNne+wUoSlXq8zNTWFEIJjx46teeo4DO9IWCtH5Gk7UBuNsBSLRd59912UUnzgAx/YXHFbI2zE695qQX3lK9BoIHbuxCbWwOhcDnH5Mtunpzn7gQ9w6dIlKr7gU7/7HvUAlGUyX3XJpSwMS1F3faIgImWZFN0AxzExg4jaXB1pGSjbJAj92L3KNnnu4Hayjk1pkZ4jYyhsAYEfMNslLFLAAn3GYjTCCL11C+K9O9DZR4kiRt06D7ZsoU1WFufWJOynJD1GknhcJehfYkLT+7tpTV9DAICUSnDl0jpR9J+1DCK9VONT9cP2a0dsAy+MyFoGhpSEOqJTF/846fb9YCoB/Tlcz/2+Pz+4+7kQgmw2SzabZe/evYRhyPXr17l9+zZXr17lzJkz5HK5tq14LpfbvBd0oBWy+SzmsCwXzwRhyeVyvPnmm22HmI2IlSjiHzx4wMmTJ9m+fTtHjx4dmovLsBX0URRx4cIFbt++PZAckWH7fk+DGzducOHCBXbs2EG5XB6aY+hZxeZI2BOiXF7yJwEI0yQPvP/978d1Pf76L36Bh3MNDFNQLVexTAPPBS+KEFoQhBGmJUnZFrLmUgsjDMfEQlMJPAxTYUnF3j1byKQd8mmTBy1nL0OSEoKZSgPfUHhLtihGIW1T6lHUp6ym3e8r78O4dx98P25JNGPp9Y4dRHv20O0wUQl2xI6SffUrpuo/TgYk5pGoBBF71kou8MME2pVNTLePyQZoRI9xL4mm4oUEWlMLHv1SaUM2CYzAlIJygrNXt3T7xUgiiZLuAZljjkm+n2PAU0Ip1da/vPHGGzQajfb42M2bNwEYHR1t618Glf2yXtGq3waRw7LZYVnHKBQKBEHCEsQ6xyCT7rXWXL58matXr/Liiy+ya9eugbzvoDBMBb3rupw4cQLP85icnBzIysZGEN1HUdQeI3zjjTfwfZ/5+fm13qxNbGIJltN5il55Bf7rf40L/NZYSxCA7xO9/joAv/CbU1y+V2XLeIGyF5BWAdrzccMQr96IM1ZSNj4SWaoS2iZSxXq1yADLNEDDtm15xkdje+FaGGHL2PFrptyg1mQShZS1ZAysBcOQ9GIzWdukXvdh61bCb/1W5MkTiPsPwDQRB/ZTfPP1WNeio+a+efTagm0u0XV0ImcbFPu4eyWl22eWkUeSZBFsG4Jan1u9EiIxA8YxVCJhaROAHsdOtsdoWy2I2gRmzDFwQ90cIZN4UcTiRshy0u2T9lnGUl2J4r4Bdld6oVN07zgOO3fuZOfOnW1t2MzMDHfv3uXixYvt7JexsTFGR0fXVc7aINC65w9iJKxXztt6xzNBWJ6FUQilFL7fxytymWhl09Rqtb4Bh2uJYRkJm5ubY2pqipGREV5//fUn0qt0w3oX3buuy/T0NEEQMDk5SSqV4v79++v6O22Ea8hG+A6DxnKPyeB//B8x/st/QZ4+DZkMCIEolwkPHyb4zu/kv/7Ru3zx+HVSpqI8V8ZzfTIpB6OQYa7mkXIMpAQjDKmXygRSEHkujmNiWxJfWYRByPh4lp3bxwHIOya2lBRrDR7WFhalbo8Rn6RxMK/jdXrbNsIPfxtEsV3vWNp+JFZvP63DxjdhtT9h2qtnN6IFx+hPWNKmTMxfCRJcuXKW6kuaILljkTFlW0fT65RK6gRBTF4aQdQeCxNospZBxozDTKUQT5Ruvxi9tuRp9SvLQS+XsJY2LJ/Pc+DAAYIgYHZ2lmKxyMWLF58q+2W9YlCZNZsjYZsYegyiiG8V4C1h9LAK5Iahw9LKa1gJXdQwfL8nxfz8PMePH2dkZIQ333yzvVrULThyE5tYNxgZwf3EJzB/+ZdR/+2/QRQRfOd34n/P93ANm09/7qv4tRry1m0iP2DMrSEQzGzZjrVzG0EEthRIKQmUCZ6PYQl836NR8fEdn3TWYvuWAjrSTGQslBDcn6st2ZSUZTDvdl+c6jcOZhmqO5lpFpSdhKR1prb/kqDriN29ei+YCeKQwn4IEq55aUPR6ENoTCkSLZVlwnXalIKqH9DP2ctS8pHEp8fz3ISuRzfhvybu/rQ6QOOOSaA1aVO1wywXI4Gfge4u2neUZFt65Y2HlhuEaBhGO/sF4qJ7cfZL5/jYRjNNgsEI7lvGB5sjYZsYaiilnrjI1Vpz69Ytzp8/z6FDhzhw4MBQr2asZYcliiLOnz/PnTt3Vswxbb0Sljt37nD69OmupgPr9TttNGySxqVY7rVOb92K93f/LvzwD7deiO+H/OTPfYH5uo+6cg1fR2TDgJqyMHSEM1ekLgT5HVuRUchcqJFSkkpbhFGAYZikx3KEMmLvjnF0o0p5rkgRRSaXRVk2pmkuKIuzKYt6bWkYJPQfB8s7Jg97jmzpBYTClGCjyVvxuJIl4uI4Zcq2vkUDaI0GHEPSCDVCtop4jRSi3YEwDUkQgSXjnJVAa4JIt4mRKQWVhFGtJMF+xlyGnXECockljK0BhJFGP2IsS2ArkThSltRNAvCjiHkvbJNMQ0DeNnEMiSbeH0nfp5eD2N58alXu8U9q09sr+6Uz2LXVfRkZGdkQ2shBWUBv5rCscwxz8T0oPGkRH4YhZ8+e5cGDB7z++uuMj4+vwNYNFmtV/DYaDaanpwnDkMnJSdLp9Ip8znor7jtDMl999VW2bt265DnrvcPyLFxDNrFMdBwLP/srv8+Vh2VkaR4ReAhpUJcm6Shg3klBEDJ+/w7zuTzSVFiOhVTQcD2EgJGsScOAFw/uZfdIlpn5On4Q4siIe5UabrkCxK5kjm1jO05PUXnSONjiVzlSkDIkBrG2oxFEEIQ0gpB6EFKt+czONxAItmRtHtR6yfxhImvzsIemBmAiY/Owy+tNJbGVJGUahAgMIWINn9b4kcYLIzRx0GOS9iRpCittqERBftJZbsjYeKB1Ket2XciYCjdMIj0JYnvBkm5RoFmgERp3DJSU2E0HsqDL5bVXuv3eVdCvwGCCI7tlv8zOzjIzM8PZs2cJgqDdfWlZi6/H6/UgOiywqWHZxDrAkxCWWq3G1NQUSimOHTu2blw61qKgn52dZXp6mvHxcV566aUVFQSuJ9G97/ucPHmSarXaNyRzvROWjYD1eBNfaTzNMflffv8iXzl9CyPU+L6HjjQ0Dbeq0sREk23UmMHEikJwUkRENNwAw1BIA7AErx7cRdaxedAc/1JKkstn8E0bDfieR8N1qVSrNCpzzMw/Ii+WabX5U193MEOioogtpsILQqquTyPUNJqPT2QdSn0ISb/sFEjORqn3IAp+GOGHEY6heFhf2jUSxKLxnGNCU9cRaY0bRgs6LlonWwSnDNmfsGhNNSlQ0mx2YPSSobk2ksa0jAS3NYhF+0mdHhALSGLGVGQtAykEfqiJ0F31OALBnvzq3OtXIunesiy2bdvGtm3bFmS/zMzMcPnyZUzTbI+Orafsl0EQliAIcF13s8OyieHG4xKW+/fvc/LkSXbt2sXzzz+/rlqqqzkSprXm5s2bXLhwgSNHjrB3794VL/zWi+i+Wq1y/PhxUqlUouZpvXWNNirWw3G12niS8/nqe7P8889NE4Wacs0ln0sTvKdxQ3AIIWVjVasUhYmtBGbKphoGCAm2ZSAMkDri+T07EEJR7dCkmIZq56sI4gLNsizyuRxjWYtbpQqNRoNqsQgabNvCdhxGUo/Ov5QhyRgKHUZUGj4pQ/Jwrt7z+ywmFK3jRCCwDUm5T/GctRWVPuNNjiETslF0z2wVDVS8EMdUSzo0tiHJWwa2UlhS4mtNEIU9wxiTRspytkE1wYWsdai09k63x5PI23LIyHIOycW/WWcGjEQw4hiEWmNJEROX5pvuyFjYanXu98vVsDwpumW/lEolisXiguyXFoEZ5uyXQRCWSiXuyG52WNYxnoWVxeUW8VprLl26xPXr13n55ZfZsWPHKmzdYLFaxW8Yhpw7d4779+/zxhtvMDY2tuKfCeujuH/w4AEnTpxgz549HDlyJPEcW+8dFq31ut5+eDaug6sB3w/5yX/9VepeQN0LKORSNLyAupPFqdcwlCYqV6lJhaVDdGGcmtQYhoprRhUhw5Cj+3cgLHvJ+xfSVtfxKYB6BOlUinQqFXdffJ9Go0GtUuZWbR7TMBDKoiFNarbV/s2zTu/FhJSluhKKlqA8axu4XQIq2683DSpB7+5M1jJp9BkXy9pmon6l2+NuEPGg+bkTaZuHNRdBTDxyzbBGDW2hfjmhA2MrlUhYWoRAdwmNBMiZqqudcSeWcxomaVNShuzb9YrQaA13q3HXypSCvG1iKcneVequQExYVlMgr5RifHy8Pdruui4zMzMUi0Vu376N1nrB+NgwBGG3MKiUe2BTdL+J4cZyCIvneZw4cYJGozG0lsXLgZRyIBbO/VCv15mengZY9XG5YSYsWmuuXr3K5cuXeemll9i5c+eyXrfeCcsmNibk3BxmqYQYH0cvU7/3j//tf+d+qUrNi0eDqnWPCLD27kLdvE00P09gKiIhkWMjWLu3oE0jPqdFRDoMGRkdpTA+Sr1LYdrLsjiXshYU3ULAtmwamU4BIzyoubiuS6Ph4roVoijCtm1SjgNCg+heDGUsk/piwqFpNxAS0+0TrlVRwjukDNmXsGQslTju1Rp90sC8GyzJi9mRtVFCYkhJpOPuxOKt9hO+R8aUHYRGd10AMKRkqVpoIZKyZBZ+TnekDJVoedwZkOlHmpkmafyOQ08XbPw4GJSQ/Elh2/aS7Jdisci9e/eWZL+MjIwMLJrgSTCIblS1WiWVSm3YDJtnhrBs9IIpibCUSiWmp6cpFApMTk6u6Yn5tFBK0Wg0kp/4hCgWi0xPT7N161aOHj266if/IENAB4kwDDl9+jSzs7O89dZbFAqFZb92PelyNjI28jXwseC6GL/5m+z8/OeR1SrWjh2Eb75J8D//z9DHTOO//PcL/D/T15sFtMCR4ElJFMbFhnFgL9W6R9BwcfJpIkMSKoXWGikDzFCTG8vz0qHdlLrY/KZsg3IPJy/HMigHIXnLwBIwX/WYrcdjXhMFJ3YfS6VIpVJoDUHg02i4qNDjvTtllFLYjoNj21i23bb47TYq1XLBkrK/kN9Qom+YJJD4uJcg+kib/QmLoUTXYMROBJHmbv3RPUMKGHVM0qaBFLHzV1KXx1aPiITW3S2Nk3Ji0qZMJCyWSiYsYcJ5LKBr16xgm2xJL+3qrRRWQsPypOjMftm/f/+C7JdLly7RaDQoFArt8bHVzn4ZBLmrVqvr1nRgOVi/VesmFqAXYenUYKxEZshaYKU6EFprrl+/zqVLl3j++efZs2fPmuyrYSzu6/U6U1NTSCmZnJzEth/vprdedDkbGev9vB8kjM9/HuM3fgNtGHg7doBhYHzxi3G+yvd9X9fXXL9T4v/363+CH0YoJUkJqGqB5/mkbRM7DJnzNRgG1qhFSISMIkJlYmmPMIRMPsOeHdtQpoIuhCXrWNSrS8XnppIoNFkE8/OLF2uWFttCgGmamKbJRM7BLDdwPRe34VKamyMKQyzbJptyeKhDlDK6FuB5x6TU6E0G8rZJsUcmDMCIY/bVaxhK9NSvtOAnEJq8ZVLsM3IGS7sakYaZus9Mc9RtzDFpBBEjTqw5CnRMPnTHPumU6eiYsSzAsuyMlUokLGGC1kaJ7iNynciaqusI3KGRlXG27IVhIiyL0S/75fr160gp292XsbGxx77nPS7CMHzqheRKpbJhBfewSVg2DFoFYecFIgxDzpw5w8zMzKpqMFYaK0FYOvfVm2++yejo6EDf/3EwbCNhs7OzTE1NsXXrVl588cUnugG1Opzx7Pdm4byJNcT8POr3fg89NkbQnK/X4+MgBOpP/oTwIx9Bb9u24CVBEPK//dJX8P2IUAhSGtwgJBCStGUg6h4NNIZtoQyB53lEGkYLFqF28SJJLu9wcM8OTEMyu7jADgIoFqlVbCiMtoUOGVORUoIgiLhbXBoiCZBPWcz3WtnXmrIbxN0XJ0XKSaHRhEFIo9HAiHzu3y8jpcSxHWzHxrbt9nlqJJzrIuFSYCaIu/OWucCqdzGUSCY0SVeTXlkknZBCUAtCapVHzzOlYCxl4Rgy7lgsIJhLr2PpZdgZJ4VjqmXYN+csI3GfGErCJmF5LCzOfpmfn++Z/VIoFAY+eTEoJGz6ywABAABJREFUDctqd4ZWE88MYdnoI2EtZt5qK1arVaampjBNk8nJyXVjWbwcDNolrNPeeRj21TB1I27evMn58+efuuO03i+gLbvIlcreWS0My3G1lhClElQq6O3b0fV6u+DVhQLy6lVEqbSEsPyTX/59bt+ZoybBDjUVz0dlHFJC4JfraCkwsg6SiIbrxR0YA4IwwEeSzdoc3L0TIQQjOWeBqF5cvow6cYJ8dZ55J42RzZL74DuwbTuzFZcqsGUkBW73a55tKehRkOdT1hIRuEBgGEZcgGVtZNXF8zxc12V+fp4wCDFMA601pWodLWSPRHedWFwnhSMmZafkbINSnw4OLM0rWYyMqXraKrffowsB8CPNvWa3a8wxmXN9Rh2TjGUgA8H8oucnNEbizkhicKVKdBCTy7iWNrrsd0MI9hdWV2S+0i5hKwUpJSMjI4yMjHDw4EF83293X86dO4fv+wPPfgnD8KkNCmq12maHZRPDj86uSrFY5NSpU+zevZsjR46smxWO5WKQHYiHDx9y4sQJduzYwQsvvDAU+2oYOixRFHH+/Hnu3LkzkEDR1n5djzewubk5jh8/juu6ZLPZtgtNPp8fiuNluVjvpHFQ0CMjkM0i5uago0AQc3PoTCZ+vANf/IOLfOVPrhBIgREENAJNJpfGiyKCch1hKtK2QSUM0DrCsgzSBggRUosgm7U5tGcXslmdex2VrXjvPdQf/zFEEY4hMf0GwZ155v7rfyP4038aMllAU+5BVqC/o5RtKuhBKgTN7ouIuyuO7VDIFwjCgGq1ihEF3Lh7HykEdjP3xbHt9jGfdyzmu4y1teAYMtHiN8m5y1D9j9mMZVBN+IwogaRnTZVIJJQUhBoe1n0e1n0a9QbVus9EpMnasUapm4HCgs+xFHN9fkd4MjvjxbCV7PqcvYVUYsdr0Fhr0f2gYJrmime/DMrWeJOwbGLo0boovPvuu9y5c4dXXnmF7du3r/FWrQwGUdB3ul0dPXqU3bt3D2jrnh5rTVg8z2NqaoogCJicnBxIV6FVLK+3Ff67d+9y6tQpDh48yJYtWyiVSszMzHDq1Cm01u2b1Pj4+Krad27iKZDPE37DN2D8p/+EYRhEhQLiwQPEvXsEH/7wgu7KzbslPv0f/oQw0hhKUIviroAbhMggBFMRhRGVwEeaCqkMMiqkXPexsyaZlMNze3e3yUrGMZnvGIGSFy9BFDFGiKclJcOBTApcF3n1KtHLr5BP2z2tcjO20VeQXu+jl8inrK4FtKEMUk6KMHQZHduK53k03AaVSpnS7CymaWI7Dnkzh9aiZ5GdZGecsfpvOyTb+6YN1ZewCJFsCpAykgnLYgG7btoSzDQ8ZhowYsdjWmOORcZUIOLuUmfXRS2DjSTpW9IJdsbxc7o7iB1c5XEwWF8jYctFt+yXubm5dvbL6dOnyefz7e7Lche2BjUStklYNgA2+uqi67oIIZiZmWFycnLD+nDD04+EBUHA6dOnKZVKj+12tRpYS9H9/Pw8x48fp1Ao8MYbbwzMTW69ERatNZcvX+bq1au8+uqrjI+P43ke27dvZ/v27W2LzIcPH7ZnnHO53ILuyzBec9bL/l9pBN/+7RCGiM99DvvOHdi+neAjH4ldwprw/YCf/uxXmJ2vkUk7lCoNgjAil7YgiqgFIcqQOI7AM0wgwhE+842QbEahFpEVgLRjUa09EtWPPrwHtQratinZzUJDCEBDuQw0R756EJa0Yy54v06kTKNvh8MyVM8xM40mJD5vbdtuC47DMKThNnBdl1t371IN48cdx8a2HVTHCn6SnXHakH0JS8pQiYQlyYq4YBt9Xc4gOVAybXbZDq0XtEPMpl3yw7rHw2Y+pxIwnrJIm6pppZxkVSyTn2OqRMLSy0FstfUrsDEJy2Iopdrk5LnnnsN13fb42KlTp4iiaIF4v1f2yyA1LBsVzwxh2ciYnZ1lenoaIQQvv/zyhj5g4ek6EC1tj2VZHDt2bChXxdeqw9LZTTh48OBAC+7OkbBhRxiGnDp1irm5uXZe0WKC3GmRefDgQTzPY2ZmhpmZGW7duoUQYkH35UlGBDaxgrBtgj//57m9bx9Wucy+V19dksPys//XVzl/s4htKIpzdaQhyNiKMIyoeQFOyiTSIdowEVGIwqMaCgxDMDKaY9u27QvIioD2CFXaNLCB2dwoYr7Ols7ivlUMZ+OcrEqfgrtf8Zq1Deo9Aiihf/dCCcFcCIvvJEopMukMI7ksntY4zeDKSqXK7GwJ0zRxHBvHtplLGD/yE7hzxlLU6723US6je2L1EMmIUgnx4AHStpnftQv6FIqZLoRlsUlYt45GqOF+c/9nTEUYacYcE9tQ+Fov0Zk4hkokLEnkKjYHWLrPRmyT8dTq3+ueBcKyGLZts2PHDnbs2NE1+8VxnPa9oTP7ZRDj0psalk0MLTpteI8cOcK1a9fWepNWBU9a0LfS2Ydd27PaonutNe+++y7Xr1/n1VdfZevWrQP/jPXSYWk0Ghw/frxtwNAitEnkzbKs9k2q5TAzMzPDjRs3OHfuXHtEYGJiYs1cXIax47PWCPN5/LGxJWTlN3/7DL/9x1cJA596pDAthdKayI+oo3FSBqEOMUQzjzH08BAoA8ZGMmzfvmPJ/i5kbSqhZotj8XC+Rk2DOHIE484d5iIgiuJK2PfBtogOHCCXMin3GBNyLEW5jyDd71Pcpszu6fYt5GzFTM9HY7vjmYaPZVlYlkU+D2EY4boNGg2XRqPETGkW24q1L7ZtY3QUYzHZ6C+mT9Ke5G2DUh+HMehC6MIQ4/d+D3H1KgCj9Sqzo+Pob/kWokVGC+2XdN2Pj1zCbCUTc2DSpmKm7nO3g0CmDcmIY2IqiRtGA7EzzpmK+SFwB2thPWoWB4lu2S+tseLF2S++7z/1NbpSqWzoBetNwrJO0Rprmp2dbdvw3rp1aygDBweNxx0J6xzveZx09rXCanZYgiDgxIkTVKtV3nnnnRW72K0HwtIS109MTPDSSy89MaHtdJg5dOgQruu2uy83btxAKdXuvIyNja3rENeNiHdvPORf/OZxPC8kY1tUwgiCgCiICB0T2xD4QUAUaQojNvNuA6EUUkSMjeR4/cVDzCzubOhYs1Gbq/Og4zG9cxf5Y28zN30KXDdeIs/lCN9+C7JZbMug7HfvkmRTJo0eHRRDCub6FPMZ2+zRfdEIEXdYTCmwOrokGk2km0SiS12llGxbw06kbd6br9JoNKjVasyVShiG0SYv2/NZSv20J+hk694EizFbySUFvjpxok1WEAJTh9BooL78ZaLv/m5YlLUhRffgS90xEpazFA/r/a/X3bhILYioVeJxPiViUX7ONpEI6kHI4viZZdkZSwksvTeuhX4Fns0OSz8YhsHExAQTExNAnG/WGh9rNBqcPXu2fV94kuyXarW6YeIruuGZuVNupNXFSqXC1NQUtm1z7Nix9kE9aLvfYcXjFPRBEHDy5EnK5TJvv/02+Xx+hbfu6bFahKVarXL8+HEcx+Gdd95Z8fG4YbYWv3PnDqdPn+4brvqk1xDbttm5cyc7d+4kiiLm5uaYmZnh6tWrnDlzhkKh0CYwmUxmRa9Vw7r/VxRzcwjPQ09MLLFhWrw/6nWPf/jp/0ap0sAE5hoBhBGOFJgZm4bQNDwPKQSjGYN510MqhRYR2yZG2LVlyxLhdMY0sCTcna11X0V/38sEew8gijNoKWFioh1w0m9sq994UCFltUMRlYj1IJYUSGKuYUQRo0oQRhFBqAma/46iWExejnyCmodXWRxSCaCp+CFKawwlMVSc1yKVjIXlQmCi2ZFNE2ZTeKGmHgTUGnH3pTQ7S1Sepa4sbDt2HltM2vOOmag9SXLlytlGex/Em62R58/H/90souumHR8Tnoe8do3o+ecXbodldrVV1nRytv7nqwDKCd8lb5vMNvy2CYJEM5qyyJgGEZq6Hy3PzrjLaJoSgn2rbGcMMVnRWm8Slj5IpVLs2rWLXbt28bu/+7s899xzNBoNbt++zblz58hkMm0Cs5zsl00NyyaGCi2dwd69ezl8+PCCi8EmYVmIFrFzHGfBeM+wYzVE9w8fPmR6enpVx+PW2v2sG1ZjHK4TUkpGR0cZHR1t35xa3ZerV69immabvIyOjg60+7KRFm2WA3H3LuYv/RLqa1+LOySHDuF/7/cSvf12z9f8xP/3S7xXqiKCCG2bCM8nY6k4JJIQzw+wDIOMpYlkc/VYROzcNsH2sTFGck47R0MKwXjK4mGpSqqQJoyWFq1SNDshponettDVMeOYPce2DLW0g6KEIGtKTCGxgIKEuhvgBRGVzs+UAqQk6kF4so7Bg/kGvQrxrG22xfxhGLFY8m8ZaoF1cws5w2BLwcEYG0USUq43qNTrzM2XCKTRtk22bHtBZ6cbnATBPsASzX8QgPeoq+T4LmX7USEvqtUlb2H26uJ0BOAmjYMVHDNRa2Ms+pgIwUzdbxMuSwrShiRjKoJId9XM2Ep2Dcjck3MS9+dKoHWt3yQsy0MURYyMjJBOp3tmv4yMjLT1L92yX2q12iZh2cTaI4oiLly4wO3bt3nf+97Hti7zts8KYVEq9r3v126+d+/eAmK3noq1lSzstdZcu3aNd999lxdffJFdu3atyOd0w7B1WMIw5OTJk8zPz/P222+Ty+VWfRscx2mvsEVR1J5vvnz5MvV6nZGRkTaBGUQ42TDt/xVFtYr9Ez+BPHECPTGBtm3U1BTy6lXcj3+c6H3vaz+1tU//9X/+Y05ffgB+iDIUXhiSVor5mksmZ9HQGss0yJiaasNHpgxQsG/ndsaanVvZLAwLjkngBTwoxUVwr3J1JGtTrHcf3UrbBtWg+8hXIW3TCAJSSqHDiIYXUG14zNHsoFgGfg9BfiFlMdvjMwFSlrG02F/0eD/3sZxtMtPFzjgINJXAJ9UOcjSw7RymlcX3XITvE9Sr1HXEg0yK0HLQpo0yjCXUKWMaNHrsmxaWWBUbJmSzUInpW85zaZh2rBvSGj06uuQ9epkaxOeRWFaGSy/hfydqCWJ7JQU3y4+6XVlLMWKbGFJQDyJCrUmbw2NnDJuE5XHQ6kZ1dlAWZ7/UarU2gbly5QqmaTI3N8fdu3f5M3/mz7Bt27aB2hp/6lOf4md+5me4e/cur776Kr/wC7/AW2+9lfi6f//v/z1/8S/+Rf7cn/tz/Of//J8Hsi0tPDOEZT0VrIvRaDQ4ceJEOxej1wEppXwmCEun49Tii6HWmkuXLnH9+vV1m0WzUqL7MAw5c+YMMzMza2LnPEyEpZe4fi0hpWzPLh8+fLh9g5qZmeHKlStYlrWg+/Isi1mToP77f0eePUt04EBblxAVCshLlzB+/dfxmoSldTxOn3+P//tLp/CCCN+PsGyJ8kJqkcayBL4SKMBRIfO1kHzexJWSg7t3kG3mFJmGYq7usyVt8aBUa2+LbRqUemhNRJ9idrFjlGNIsqZCRxHCD6iWGyztCUA+bfUdp1IJq+1uEC0aeVoIL8FWN2FCirRtLAg2jIMpHcDBBEQUUqnXaczN4XseadugkM+QyWZQtkO9ObbWDxnTWNptEBC+8krccYsiIoiNDoRA53JEe/cueLolRU9ipoknyVLLICxJNsSpZXSLMqZBvYOgVbywrc8RaMZSFlprUoaiEYQL9s+h0U3CMuxo1W29rulCCDKZDJlMhj179rSzX37zN3+Tn//5n+ejH/0ohw8fZmZmhtu3b+P7/lM5U/7Kr/wKH/3oR/nMZz7D22+/zSc/+Uk+8pGPcOHChb5TCNeuXePv/b2/xzd+4zc+8Wf3wzNDWNYrisUi09PTbSFwvyLFMIxnjrB0wvd9Tpw4Qa1Wa9vRrkesRIel0WgwNTUFwOTkJI7jDPT9l4NhGQkrlUpMTU2xZcsWXnzxxaG9obYEzLt37yYMw3b35eLFi3iet6T7koT1vGjzuJA3bsTFaKdotVmYynPn4v8vlRj/whcIrt/h71/L4mVHqQsDUwkCLyCUAqU0qZRFNQyxZES1EWGYAmzFczt2ku44j8ZzDuW6t4CsAOSzNg8qS7NSpBCUenQ6UrZBxQ3I2QaOFNQaPtVqgwbx76iM3sesZSroQ1j62SQbUjSdx3oJ68WC4MtuSBqR6rdoIYDxbAqkIpvJEmmN53mUqg3uFe8RBgGmZTKez5LPZ0mlHHygGoQLXNHSpuo6HhUdeR6CAHXiBJUw/u309u2EH/zgEmvjnGUy0+jRxWmK7oPFyvhFsKVoBlv2PvcyZrKdcT/HNI2gWPeYdwP8SGNJwVjKwjYktpJsST+ecHtQaKXcP0vXnSdF67643EWoVvbL93//9/P93//9XL9+nc9//vP81E/9FJ/4xCf4p//0n/Kn/tSf4tu+7dv4yEc+wsGDBx9rez7xiU/w1/7aX+MHfuAHAPjMZz7D5z73OX7pl36JH/uxH+v6mjAM+Z7v+R7+4T/8h3z1q1+lVCo91mcuB5uEZUjRObrz/PPPs2fPnsQT/1nrsHR+13K5zNTUFJlMhsnJyXWdezHowr6V0/O07ldPi2HosLz33nucOXOGw4cPs2/fvnVzM+10Fmt1X2ZmZnj48CHvvvsujuO0Hx8ZGel541vr/b9a0CMj8X9EUVtgDSDqdaJt2xDXr+P88A+z8+xZ/q75KrPGKJ5dJNyyjfS28aYuIyQMQ3xMFAFuCMoS5PMWu3fvxjabXTmt2ZJ1qNQ8ql0E2o0uhTPASM6mWFv6/KylKDgmxUqD8nyN8qLHC2mbUp8E+X52xRm7f7p8Pm1RrHlNvrL03Cg4FsUeQZUAWcfsa70r0IkC9M5zUgqBY8e5LgBBGGJEPjOVGneLc83uTBxsOVbIkk3ZoCRSa5rxm4s3gOill8i+8hLlmVmwbHSmO9kXoh9JiM0Mkly7crZJMYHgJbgZx/ss4XPy9iOTAi/S3K3Gv9HbO0f6v/kKYtMhbPl4WnK3b98+/vpf/+v8/M//PP/m3/wbCoUCX/rSl/jVX/1VfuiHfoh9+/bxbd/2bfzlv/yX+cAHPtD3vTzP4+tf/zof+9jH2n+TUvKhD32Ir33taz1f95M/+ZNs3bqVv/pX/ypf/epXn+h7JOGZISzrpTCB2NmqFVz3gQ98gJHWzTcBz4qGRQixoKhvOTwdOHCAQ4cOravfuhsGKbpvpbAfOXKEvXv3rum+WUvC0hoVvHHjBq+99hpbtmxZk+0YBDrHA/bu3UsQBMzOzjIzM8P58+fxfb8tzOyXrLyREX7jN6J/+ZeRV6/Goz5KIR4+jFfFv+3bsH7+55EXL/Kpwit8PdiCcmxC12fk3ntUxvKEErSOGBmxqXkekRBIGWFZivcffZ75ppuTYypsIXC9oOtoUMYxKTe6F5ud56KlBAXbpF73qJQbSKDeo0g1VO9zOGUZ1PoUtynLoNrDJhliG1+ILYy7NQWS5Bgp0+hLWHIpK7FD008fYyjFlkIGrBS62X1puA0qlQqlUhxcmUo5OLaDZZkU0jaWqQgEVIKo3YWxbYv5LpqVTvQjdlprcpbRM1W+hcTLrU4mI7GdcYJOpscxcWRs7UIENwnL8jGIlHuIXcJyuRyvv/46r7/+Oj/2Yz9GpVLhK1/5Cl/84he5efNmImF5+PAhYRgu0Ulv27aN8y2XvUX4vd/7PT772c8yPT391N+hH54ZwrJe0OoUpFKpx05iV0rhur1XvzYSWt2kCxcucPPmzVVxeFottDQsusOJ5nERRRHnz5/nzp07vP7664wvCsZbC6wVYWktAMzPz69o1sxawTAMtmzZwpYtW9BaU61WmZmZaScrp9NpxsfHh6LDtVrQ27bh/eiPYn7yk+3xMF0o4H/v9xK+9Rb2T/0Uv5Pdw6/5WzFMiasFKQk+EX5lHpHLkUkZ1P0ApCDSPtlMilcPH6LcJCujaZtKpcFcEDIxloUuBW46ZVHtNg4mBbM1jxHHROqI2XKjnc9im4r5Ph2UfiNdGcekXu19D+gXJgkdwYQaujGWft2b+P37L7QkuVWlzOY+74OWhkZ0dFfIx0Vfw21gRz4PHj4EAQ+btsm2Y6OkIm0bpGwTE03akD3F7olieg1Kyp5mCi0k7a+cbVBOJCOKbtkqnXC7jKYJNgnLekGrw/K0aBGWTmSzWb7jO76D7/iO73jq9++GcrnM937v9/LP//k/b+fLrBQ2CcsQoTWusn//fp577rnHLlaVUkOhEVgNSCk5ffo0YRj2NSJYj2hduJ6UsHiex/T0NJ7nMTk5uSx9w2pgLTQs9Xqd48ePY5rm0IjrVxJCCLLZLNlsln379hEEQVu4/+DBgzZ5a42PPW4w2XpC+M47hJ/9LGpqChoNoqNH0bt2Ie7d4z1P8o/DfUgBVQzMIEBJTUUqDAG2IzGUxheSRtBgYjTH4T17KeRTPKy4TKRtHjYdwKSQzPUgGN26BUrAtpzDXM2jNFdb8ngubeNWu+WfxB2KfiNV7RV/10VevIi4fRukRO/fhzj8XN/uRsYxFhTYi688abt/90bKZH1LEmHK2KovYZFtjc1SKKXIpDNsydioTAPP93AbLpVqldnSLKZp4dg26ZSDaVlowDENMo6JNCSNUFNtCtZTRn/CotF4kaZfiZkzFdUEbYqtJOUEMuIlTE0YsrtuaG8+RcZcuxLvWU+5fxwMosPieR6+7z/1gtzExARKKe7du7fg7/fu3etqYnT58mWuXbvGd37nd7b/1rrPG4bBhQsXOHTo0FNtUwvPDGEZ5jGh1mr4e++991SdgmdlJGxubg7f98lkMrz11lsbLim8nwtaEsrlMsePHyefz/P6668P1b5Z7RX+UqnE8ePH2bp161CL61cShmGwdetWtm7dysjICDdv3iSXy3Hnzh0uXLjQDiYbHx8nn89vvH2UyRB+wzcs+FMwPs6PpV6jOtugZtuoIAQDGs0ARLuQpuHH2SjlRpm9O7ayf8dOEIJGEJE3jTZZARgtpJjpouvIZ+wFozyWISlYBrPzdVwvoNqjuA/6nCOOafQkLEqKmDg1Ghhf+hLMzbUfE/fuMXb9Cvc//KcXaHo6kTYfEZZuDZa02Z+wFFIms/U+7mQS5nuJ2JvolQ3TQt4xexoVtNAIwrj7YtnYlk0eCKMQt+HScF0ac7M8CDS2bWE7DpWGjdEsFi1DkktZWAKyhqTadExbDFNAPdT0WyZLLYOwJDmuGRLKSQGZlsFsl7HDI+Nru4g3qK7Bs4BBEJZqM0foaQmLZVm88cYbfPnLX+a7vuu7gLgW+fKXv8wP/uAPLnn+Cy+8wKlTpxb87R/8g39AuVzm537u59izZ89TbU8nhqeaeUbRcm/SWnPs2LGnWg1/FgjL7du3OXv2LKZpcuDAgaEqyAeFXi5oSWiFig6rlmc1Cct6FdevJKSUKKXYv38/+/fvbweTzczMcOrUKbTWbe3L+Pj4hu1G/ew//x0uT+xBzl/F8F20FDiEVI0UzkSOmgbD1jyozfHigQNsb45Tbsmnmat7eIs6AL2uuJZlgBe27YiL83UeVN3YHayHzbGhJHM9HoPeAn6IxfjFuoc8fy4mK6b5SEQRhRg3riNuXEfvP9D19QvHufQS0X2ok4prRe/EmTj/pdjnuwkB8z30Pi2YCQWwpWRXQqekarvuTWRt3itVaDQa1Go15kolDCMOrrRtGy+IUFWXMNJtAiMNRSOMqDQJSEpBI+GakqRvMaRIJCN526DYhwRCbEzQDS+Mre3o6+ZI2PIxCMJSaeYLDWLa5KMf/Sjf//3fz5tvvslbb73FJz/5SarVats17Pu+7/vYtWsXH//4x3Ech5dffnnB61u668V/f1psvGqvD4ZthntmZobp6Wm2bdvG0aNHn/qA3ciEpRWc+d577/Haa69x6dKlofotB4lWcb1cwtJKa7927VrPUNFhwCDNBHpBa83Fixe5efMm73//+1d8pnY9Y3EwWblcbvv4nzt3jlwut6D7shFI329+6SS//bV3CZ0M4eHD6HvvEXgetWwea6JANZWh5tcQKuL1F15kpLlauUVGRFNTBLNlZCpNtG8vZLPYlkGpS3dFAA0/ZCJlUpyr87DjWjWSc3oW7oWM3bVbA2AbinKfkSvZVMTLm7eaG9Hxe0lF2bQRt293JSxq8TjXoiCWmEz072zUErQnvQrrFvK2ydxTfkbONpjpQ4ogJn2WaWKZJuRyRFGE68bi/dLsLCkFgbKwbRvHcfA6uiS2ocilLUpRhDB7fx8paGudeiFvKYoJBE0mhdoAtS6kJ2VI9hXW1mxjk7AsH4MgLLVajUwmM5B9/hf+wl/gwYMH/PiP/zh3797ltdde4wtf+EK7trhx48aa/LbPFGEZFmituXLlCleuXOHo0aPs3r17IO+7UQmL67pMT0+3gzPT6TSXL1/esHqdx+mwBEHAyZMnKZfLQ589s1KBmC209kWlUlkRcf1GuAH32v9CCPL5PPl8ngMHDuB5HjMzM8zMzHDr1i2EEAu6L+vRNvzilfv8i1/9AwIvRJmSyHKYG58gk7WRaZNy3WW+Nksma/H+F99H2nGQAsaqZdzPf5F6ELY1C/LCBcLJSfIvPseDRXoTQwq25h3ulupUuo049bHa0n3q01zKwu0jqC97zWK/CzHIBS5lZfW0rcqnTGY7Rq30IsaST1k9dToQGwUkCczrSYnwfbJlWo8nfUYSp7YMucS0QEpJKuWQSjlooGBKbs/O06jXmZ+bQxlGm7xE2sKdD5mvuBi+ZNywyDgWKEnFj3Cb1+y8bTKfYN8sRfK1JDlQUnV9zqHRTCJBXGlsaliWj0Hsq0qlQjqdHtjC0g/+4A92HQED+MpXvtL3tf/qX/2rgWzDYmwSllWG7/ucOnWKcrk88LTxjUhYWiF/Y2NjvPTSS+0RsI34XTuxnOK+Vqtx/PhxbNteF4Lylexwdorr33nnnYHuC601URQRRRGe5yGlbP+znvA4NzLLstixYwc7duwgiiLK5TIPHz7kxo0bS7ovuVxu6LsvtZrLT33y81Sqbpzl4RhUGz6Gkmgj5OF8jbrfYKyQ5U9/4zuU6j62obCB2a/8Ptuqc9RGtjQrYg21OupP/pjawUfz2QLBRMaiNFfH86OuegwhRU8HMCkEc330GWGffPesY7ZF4tHevcjZ2QUZNCnfpWyl0bt2dX29WnwsL/qoJHevrGPiVnsTGsdUzQDF3nAT9B4520zsnvSzVI7fo38HRgAoRS6bJZeNgytd18V1XUqlElEUUUjb1LyAjBlR80LqXr39+oxjknbMOOxTQNDnclcP+u+PXmSkEylDdn3O82voDtbCRljgWS0MQu9TrVY3lPlQNzxThGWtR8Lm5+eZnp5uhxsOusDcaEX8zZs3OX/+fFcdwrCkpq8Ukr7fw4cPOXHiBDt37uT5559fFzeGlTr/ZmdnmZqaao9WDnJfaK0Jw7C9Ataymw6axUYrE6j179vl23zp6pc4OHKQ58eeZ3t2qavKeoOUkkKhQKFQ4NChQ7iu2+6+3Lhxo526PDExwejo6FB2X37yE5/n/kyFet0jU7CpugGWqahEde6WfISCHRPjvP3yS8w3AnKOhdfwmH84i1WcoZQtdCzfC3Ac8pUSs7fvwPbtjKVt6jWXB8UKAtFThzKSsRd0MjpRyNjM9hClSyGZ6xIy2ULKMh4RlheeR9y8iSgW24/7GvSePei9e7u+fvGo1aKJsL7amfYL+iBjq77voVRv9682EjNgVGIXJwlKigW5OVIIUo5DynHQhQJBEJARIXO1IuX5earVatM2Oda/VBs+1YZP3jZxPZ+RtI1lGfg6Fs+3dlNMNPrfv3qRkU708ih4fo31K7Apun8chGH41HrcSqVCJpMZ+sWjp8EzRVjWEi2x+EoKojcKYYmiiLNnz3Lv3r2eGSLPKmHRWnP9+nUuXbo00HHC1cBK/Gat8+rIkSPs27dvoO/dSVZagnWIj88wDNudl9Y5d+bhGX753C/jhR7T96YBKNgFjowdaf8z4owMdBsfF4MgjLZts3PnTnbu3EkURczNzTEzM8PVq1c5c+YM+Xye8fFxJiYmhuIG+i//3X/n1IU7VBsB+YJNJYiIRECxWqIW+iAlB3ft5sX9BxgppAk1lOZqcYckihjTPg/lIjMUIbAJyRKiTEVxttJ+aCSfYrZHF+X/z96fBUly5ted6O/7fHePPTIyqwqFpbBvvZDdjUb1SNRI5FAc3fugB5lJeqFMZtQbTQ980GLXjJIeJJGiTEYzXdk0F5NspGkZeySaxJkh2ZTYYpOXYpNsAVVAoQAUlkKh1txij/Dw/bsPHhEZmRlLFioLqCrUMYMByIjwcPfw8Pif7/8/52hLOhXakpGosmfSXtIZCGe/V6ZF+uM/jvzwQ8SNG+iapHXmCdInzoDMVRFCCAQKhcDWJf6hzsRecKSpy5VkYlX44SpCU7aMpYJ8WJ1p4h6BsKzqwJTtxfshAEPXKbgueqtHoVBASkkQBPR6PdIkwTRNPNchjk10w6AzDGE8xqdrkoproekSXZOMVnSU5vuTze6Pohcd/lzqjsGa+9l32x92WI6O49SwPMh4SFjuMrIs45133mFzc/Oui4AnYYp3Ejj4WeOga9qilO4HhZwtwrziPk1TLl68SLPZ5Gtf+9rUieN+wXF2WO62uP4gWTnY3ZvVGSml+L0rv8dvXf4tgmSsZ1D58baDNn9680/5wa0fUDALlK0yZypneLb2LE9Xn8YzPr0fmLtxT5BSUq1WqVarPP300wRBMO2+fPzxx+i6Ph0dq1arn2gVUVy/jnz/fYhj1COPkD37bO6AdQT88Wsf8h/+n3P0gpiio9GPI3b9LkoFKJkhpM5Tpx/hhSfO5F0yIdhp7ZEPSiWSShn8CGbuRXrgI3WDgVtGDfZrWOQCUiJgyciXWipqPzSyNX6NpWvYmkRH0HBNUIosU2SGRvriCyTPPUfBMmj5ISJM8g4h+/mDW3LwRyGCiZOcwI4TQFGWAs/UCLP8OyCkIFO5A1aSKYI0wza0FURgdZq7XKLrAXBNfa64fP+7LIdjaIxWdIpW6T4EYyczpZBSYlsW9jjLKElTgiDAyGK2d3tIIaadF9uySIBmPx8fq7kmVpLhOSZIQT/J9mXUCNRK0X7R1PfZZk/w7D3QXYGHhOV2kKbpHU/cTDosDzI+V4Tl0y7iR6MR586dQwixtPg+LkwY+v1KWCajPY1GgxdffHHpisOD3mE56Kg1IXIAZ8+exbbtz2rXPjGOi7AkScIbb7zBcDg89tDQycjXRLNykKwcej6KX3vn1/jjG38MQNkuY2s2SZbQDbokKkGhqFk1+lGfftjnRv8Gf3jtDxFCcKpwimdqz/BM9RmeqjyFY3y2zj53Ctu2eeSRR3jkkUfIsoxOp0Oz2eTDDz9kNBpRqVSmBOYoAlHtj/4I7bd+C9Ht5iNZmkb6wz9M8lf+yj4CMQ/bu11+4f/7u/hRgmFkXO+1GKkUXctIE4VVtHhq/SSn1hoI4GTN42ZzsG8bjmPR/PJX0P7kT8H3QdOoB30Mpbj5tbOoA8GbuQ5lvjC+XLQXZoiUPJveoi6GgjhJqDkGGpAmGVGS4ocJYRBTKDk0W4P5rwVcUyNZkvcxqZMVkGYZaQajKF/46g4DdOnQHMwPsgTwSg5ZlmEaGrquIaQgBcI0YxSneJaxNOwSmNPhOXAMhraCsKiVXSDXXE1YVpGikp07mc27jemaRsHzWPMsNC8kinLnsUG/T6edB1dadk5eBpokSrNpro0ASq6JZerECKQUdFacM0vTmGeqfS/oV+Ch6P52cFw5LMdtNHOv4XNFWD5N7Ozs8Oabb3LixIljn6tfhMkFn4xb0/cLlFJcvXqV9957j+eee45HH310ZSHzoBOWWdH9xHigXq/z0ksv3bc/Asdha3zQaOA49RKzRAVYSVaG0ZBffeNX+aD1wd7f4iHDOA/wElJQM2u4ussgGpBkOXmZdF+EElzvXedG/wbnts4RJAHr7jpPV5/mqepTPFl58tg7MJ+mhk9KSa1Wo1ar8cwzzzAajabdl8uXL2Oa5r7uy8HrWmxuov32b4OUZC+9lP/R99F+8APUmTOHAiFnkaYp/59/8hvsdLt04z79gY9WstBESppCsWTxxRe+QBZFaFJQca25RXWhaDF67DFS08J+7xKl3U121x+l+uUXyNYPC9grRYfWgnEwfck4mGVoMC64DU1SNHU0pYjiFJSi2/EXvnbVJ7pslErAQhOACforwh7DNMMPIvx5nEZBwfDQNYmuS5QUhKnCT1LSMVOydW1pICUszrqZ4CiuXGqFCMY6wn5MzAcUixcF/ThFCPJgSsuEUok0zQjCgDAM8YMhzRZT5zHLstDkOH9nPI62XrCpSIGma4zSDH8O4Yzm3EulgKer9wZhOY6uwecFDwnL0fCQsBwzlFJ8+OGHfPTRR7z44os8ssCV5W5gdsb+fsFkzGl3d5evfvWrVKvVI73u8zISNtFoPAgBiHdqa9xut3n99dc5efIkzz///F0R10/2b9W2t4Zb/NK5X2JnuLP4SQJM3WTT3wTy//YMD13oBElAL+yBgLpdpxN0UEpxrXeNa71r/N7Hv4cQgg1vg6cqT/FM9RmeqDxB1T7a92Pu7nzG147jOJw+fZrTp0+Tpum0+/Lee+8RRdGh7ov88ENEp0P24ot7G3FdlOsi33hjIWGJ05i//Q//DX/05gfEUpAlGdIDSU5GXcflz73yVZTS6Hc72JokVYr+AVH7dPwHqD31OP3GOltJiiYFLUNj3jK70BadY7UwFFGTAqlgzTYYjWKGg4DWzOONigeLxsWUYrBklMy1lqfTl1xzQfaJQggoWAaDJa+XYrHrGQACRlEyJyhT4Vgmtq3jWjojI9d0zNOgCMHK7omlS1js+MxROjBFSydc0YEJJ8RhwRSDY8wnPZom8VwXz3WpuyY3OwPCMGQwGNButzEMYyreNw2TIEn3jQi6lk7BMclEHjYpBPTmvM9jJQfXuDcWtB6OhB0dDzUsR8PnirDc7R/sKIp488038X2fr3/965RKpbv6fgcxcSq6Xwr5gyNztzPmJKUkjle4ytzHEEJw7do1Op3OAxOAeCcjYdevX+edd97hueee47EFTkefFMv0KvNwqXmJ//jufwSgYBYYRIfHcQxp4Jkeu/7u9G+pSulFvfw9UViGxZq9RpzFuLpLP+yDmAii833YHGwSpwnfv/59MpVRsSs8WXmSJypPcKZ8hkeKj6DJe6NAuR1omjYlJ7Pdl93dXT744ANs2+bxjz/mVBiiAXL/iyE6XCRfbd3gTz56jW//5z/hjd/30VyDOIrQdImQGkplVEolfvzVrzGIM1zLYJhlDEcxa+s6HFihr5RdBnFKzTb3jVxVyi7N4eF2gpRyYYJ92bPpzmzfMTQKhkYUJSRJytZub+G5WlZEl1xraWfBtYylY06moc0lQ2rcBbRNfSlhKTkmnQUjcJAHH87X5ghGYcwojJFFRWswFqbrAs8xMQ2dVAhGSYqhyZXdk3iRXdZkPy1jboE/i1V3plkHsUW3Mc/UVwr/MwWWaWKZJqVikTTLCMOQIAgYtlpIFB3LwrTy7ouuafhhgj85BwJOlVwSKYgUDOJk2j165h4ZB4OHhOV2cFw5LA87LA9xJHS7Xc6fP0+xWDz2UZXbwf3SeWg2m5w/f/4Tj8w9yCNhURTh+z5hGPLqq68+MKsmn4SwKKW4dOkSN27cWOgYdyeY7awchaz84bU/5D+88x/I1N61Z+s2BbOAQjEIB+hSR6HoBJ2F29GkRsWusOVvjUP6wDRMCkYBDY0wC+mHfRpOg53hztTZqRN0eH3zdV7ffB0AXRq8uPYCVbvK4+XHebz8OGvuYnL7Wdq6L4IQAtd1cV2XRx99lCRJ6HQ6DHyf5mjE6I03MBsNPM/Dsyysbpf0R34EgM3eFuevX+SdG+9xpXmNaNfine+HaLZGkuRWoYYDiRKs16r80LPPI02DkgEjPySIUooFk9YcjYZtagz9kNaB5Pl0wTlclmBvmhquUni6xPdjhr0Rk/SORtVjGI/mv87QlnYwLPMw0TrKvk6wLPtECKZjW4tgrAh7LK4InATozxCaJFF0+yGz7ZJS2UbT8vGolNweOJnZLylY2L2awDQ0WEFYDgZKHkTRMuiMj2XRSFi24nwLIege6PRoUuI6Dq7joABPU2x2Bvi+T7fTQdf1qXjfMi0EECUpu2P3MVPXKLsmaBrP3SPjYPCQsNwOjiuHZX19/Zj26N7EQ8JyDJis/j711FOcOXPmMx29uNcJi1KKK1eu8MEHH/D888/z6KOPrn7RHNzrx/lJ0e/3ef311xFC8OSTTz4wZAVun2ROxPW+7x87cbtdcX2mMv7Tpf/E9z7+3qHHgiSYuoNV7ApKKUzdxNZtelGPJN1fCJm6ia3ZNP0mwLSbkqmMXtRDoZBI1pwGURqxZtdJs5R+NCBRCUJMusWCilXmze03923fMVxOF0/zaOk0jxUf42TxJOve+mc+EnZU6LrO2toaa3/+z6N1u6j/9t8YbW0xSlO2O23ee7zGRf89rv2nHxCqiIJRQhMaWmTy33+zQxiBZmsgFEJmJGg8dmKDl848TbnkIISg3x+Rjq/FQtEmmqkzpYBGyWZrd3CoALVMjY6/oKMwp+AwNEnZMohHMX4/YJ4SJVoiiC+61lLB+7JsEykW58FATjYWkyGFEHIl2QhWaT5WEBrPMlYGSgZxeiCDRuE5JrZtgJRICTtLMmoAkhX3Hc/UV+6HMTvup+YrYpZ1owBKlr5gBC+HADzHppQKKBbJsowwzMX7nXabTCksyyILXTLdQNc0oiRlpzfC1DUeL7sLt/1p4yFhOTqOI4fF9/2HHZYHCcf9g52mKW+//TY7Ozt3ZfX3k+BeLuSTJOGtt96i3W7fsS3vg9hh2dra4s033+SJJ56g0+k8cDf72+mwzIrrX3311c9UXB/EAf/2rX/Lhe0LS7e75q7RHDXzYxzXtEIISlYJS7NIVEKapsRZnOtXFsDSLBzdoR20xqMnikwphALXcHF0G6EkmpRs+ztwYLV3FPu833qP671r/Kn4AYNogK4ZlGUJ+jC84nPC22DD26Dufvb3rIWQEv8v/UWu1TQ+futPuDLY4W2nxKBgErXeRU90skSxKXYxDIOLv6UxGoIyUlIlEUJhujpnHjnDk6dyLaHrWmzu9qbXoQCGYYoxNvsqOAYqTknV/NXyUsFhZ3C4GyKlpDslMoqyY6JlinZvRNhsMrxyDakyso0T0FhjEnJi6Bq9JaRi2bfF0CT9hTbJUPLMhSNqAEXbPNQ9mr6vgqKtL+0YHCWfJVgxHuVa2lKiIAVzjlEwHMUMx39vFG2MKKHommi6Rpgp+nEyHduSgpUjZY6xfD8gd04D9myhD9wzCivG52A1gZt9H8ivK8excRwbBSRxgkpCWv0BURSh6fpUvP98Yw1thT30p4mHLmFHx3F1WB4SloeYC9/3OX/+/CfSX9xN3KuExfd9zp07h67rfOMb38A6YAd6u3iQCMusUcMXvvAFTpw4weuvv/7AHN8ERyUsrVaLc+fOcerUKZ577rnPVFzfHDX5pdd/ic3hJhW7gilNgjSgH/ano1wADa8xV4CvlJqSk5pTY5SOcHSHglUgyRJ6YY802/u+FowCqcroBl1gUhMJtHFxFKRBrnNBMAwGSCHxjCKmZgKKMIsYxT5Fs0iQhoziXHuRpDE3/Bt0e12al/LOTsNt0A46rDlrrHsN1tw11tw6NbtG1alSs2uY+qfj8pNmKc1hk+3BLrf6W2z2trjauc7OYAdLs9EfdwmTE5TtEiVApYq+7+MHI+wULvzOiJs3RmgWkNlIkeK5Gi8++Twn6vmI3HrN49ZOj1kaUCpaBHFOWNaKNq3OkCxTCH1+obXIFrdSsOmFCQ3PZDgM6baHoEC+9RbFC/+Dkcx/H6R8i+zMGbKvfx2EoFQwaQ4WdGyEWEpmSp61+LUsdyXLN7+suFXommRZ+V2wDVrDJe8v5b5xr3lYNXJWdMylXSLIx9riJKXV2yOSUghKroVpaWiaZHvFfqwa5TI1uUdGxk8VB3oseR7Nqm7R8nu6pcuF2xCAYejUKx6mE5IpRRiGhGFIp9Mh0gacPz+kXq9Tq9WOZBt+N/Ew6f7oOC6XsAdpImMeHhKWT4Dt7W3efPNNTp06dexuRXeKe5GwTCyej7MAvReP85MgSRIuXLhAr9fj1VdfpVgsAg8WIZtACLHyM7t27RrvvvvuHY0LLsLtjIABXG5f5lfO/8pUVD+rSTE0g6JZRAqJLnQ2h5tLt9VwG+yMdvJMjTTeG9EXULSK2JqNlJJBMGAUL7awrdgV/MQnTiOk1ABFP+5DtEef1uw6cZZQMIpIAxKVMIx8AvLRIiEkNbs2JVibg1tsDm7te5+606A1amHrFmW7TNEsUrQKFM0ijuFSMkvoUsfWLUzNxNAMDGkghEBDIyMjU/k/cRoTpzGjJCBNEzpBj0E0YBAOaY/adIMe3aBHJdJov/sm7O6CYSBOnqLy9EuYhscoDknSlGa/SR2HTuBTrjQo2QXe/sMet276eJ5NoinSLEOXGc8++gSmlPi+z+n1yljPsb8wzYRAl5KaZ7I7FtaXCvZcobhrGwzmWPw6ho4lBSqI2Jnx9hVbW8i33mIkdbDHCzRJgrx8GdVooJ566tAq/SzKnrV0JGsV9R+tKJ6XdRSUgihRLPNzWBWyWHRM2ksITe7CtpxImCtIl64JenM+k2ycIcMQGkUHNQgpeyamaRADvTghy/a6bKs6MEVLp+nv6Vfg8Ee3inzpUq7UyRRMgzBZane2t9giBI5t49g2qlzm//3K45ixP809mtiG12q1Txzaeid4OBJ2NEzChx/aGq/GQ8JyG1BK8cEHH3DlyhVeeuklTp069Vnv0iHcS4W8UorLly9z+fLlYz9fD0JBPxl7Mk2Ts2fP7vOsfxCO7yCW2RorpXj33Xe5efPmXRXXH5Ws/ODmD/j3F/89STa/wIjTGD/2MTSD3XB3KrwHGMQDgnhMDhCsuWvs+AvsjxX0wz62Y7M92EGpDNdwcQ0XEIRJwCAaoFDUnTXaQZtM5d/vg90XpWDNWWNnuJNrdEI13QeEwJAmZb3MutsgyzKqTpUwiRglI9SMiUDDXZ/u7ygZMRqM2GRzur8Nt8HOcM/9bBYFs0icJITJYd1FySoRxBFRsr/ANDSDUiBI//B7rLd6YNlEKkDffIfObo/2F78IUiBu3uSRi1fIOj08XdA7tcGo+lUuvjbMtQymQCCplUz+7A//MGEm8uRxFfLuex8hJqnjtoVhmHiuRRAOMaSiNZNzYlrzheyeZ+H391bxC7aBhaDTG7EdJVNNzATi6lXcJKRfLDEZAUM3IAmQH31E+vRTdIeLCcnS8aEVdsa2qTFc6R62+HFdgh8nFJY0wlcV39qK71jJNekuGWmD1SNlJdtYaHQwQRiPQzAHe2J+IQRlz8I0dYQu2F2hgdl3v5jcw2b/Jlgc/DnZV0tfmNEzu51VGMzJ1SlZBk+dqAN1Hn300X224ZPQ1nK5PHXm8zzvrndfHhKWo2FSr90JYVFKPbQ1ftBwJ1/QKIp44403GI1G+1bC7zXcK4Rl0jnodru88sorlMvlY93+/V7QT1zSFmWKHEfI4r2GRSNhcRzv+24d90130lU5UnK9UvzO5d/hj2/88aGRj1kUrSJRGuVWxOwX3gM4hkPJKKFJjVbQWrQZYEIA9giNH/v4M10WTehseBvEWUzVrjCMfYJkv45CiJwY7fq7SG1MDCc6DKVQKkNmkjANudXfnB7bhPRYuo2jO9iaTapSGu4amcpIs5Q4S4izhCxLKVnlhWSlatfoBX3SOSSv7tQJ4whbsyiYXn69K5BCI4hCeu/9KaLfodeogBSsp2V2wyHq1i2sRx+nrFnof/QmW1mIsm2MJKN0fpP/uvUeYXUDBCRC0KgW+NKZFyhXSnT6AafqJXabQ55//iTXdzoEQUCzmQd7PnqiwmAwwrKgWLSm53ERiZjkaxRtA11Bu+MzAGoVj9Ycm2OiiEIW4x+8joSAMKRcsJd2UJalvxc9a2qxOw8F2yRYItZ3LX0pYfFMjZFafP07ps5oyeuBlSGMxoruiaGvHimTKzQbi8bScgKTn5+1gg1+SNm1MC0918BE6b6Rz9lu1OSvs/eHsmUsFdMfZV8Pvs88LDIHeK6xvx6ZtQ0HprbhrVaLK1euTB+fBLveDVfThxqWo2HyO38ctsb3al16XPhcEZZPik6nw/nz5ymXy3zjG9/41Furt4N7IYdlMBhw7tw5bNvmG9/4xl1Ju71XiNntQinF1atXee+993jhhRc4ffr03Ofd74RsHuYRFt/3ee2113Ac566I6yedFVgtro/SiH934d9xfuv8eIehaBaxDZs4jelFPbIso+7W6Yw6pGr59TdIBgyjvDiedE0UCj/yGSUjdKlTMktLwyelkFSdCjcHN/b93dItXMNDlzpZliKFzInE+PCEECBAG//BTE2uta7jeA4oRTYZa1GAEKRZRqbUwtE2U1o4ukcn6GJqJprUkeS5TwKBZxQYRkO88TFmSo0JT0LZKrMzaB7aZsksEcRDoiRE7myDaYKA9cQiUBkNo0DUH9Frt8huddjOQuxChbLS6KfwG7capIlABSFGzeXkepWXHnuOWq1AdxBSLzrsNodoWp6f4boOrusgEBRNwWanTxQlhGGPIBhh2TYn16sM4vTQdVJwc0JTs0xaneH+A1l0Ta2tEV0xIMv2HMQmBHJjA3OBTgbAsQyGS1bsLV2nv0Rhkq0YGFs1voRg6cyZZy0nLPaCAMVZrMpOKVoGrRXjUaNo+T2y5CzX2QAkmSLLxgRmHLeja5KSZyENnUwoWjOdoOk9bOZjXzW6BqzMZ3FMfeUYn2vONwd4trG8UJ0Nbc2yjE6nMyUvb7/9NqVSiVqtRr1ep1gsHkv35WGH5WiYaH3u9Jw/1LB8zqGU4tq1a1y6dImnn36aJ5544p63BtU07TMtdCf6nkcffZRnnnnmrt2w7seCPssyLl68yM7ODl/96lepVhenlt9pKvy9iIOf2aTLNNGCHed363bF9d2wyy+f+2Wudq/ObAT6UZ9+lHdRNKHxSPERojTCNd1pd+UgylY5H6VK97ogB7smJbuMI20ylVE0i9P3mIWpWTi6vS98coIwCQmTEMdwkGgM4yG6puMZHqY0QIh8bC3xUQFc2fqYSqWC6+aEYkLmUApHcwBo++2pZfLsZ+EZBdI0oz82D4jSFNJoeo4a7jq3ercO7aNAUHfW5pKVmlOj4/fIxoYDJc3GjmKk5dIWMaHI6JHgoHCFi9j5kKq0SRD0MvjT99cIlI2SGVIknDl9kqdPPplzB11S1S2arZxYVKsFdsfOXrapYwiBaeq4nsIPQmzLQkpJEARs7mwzCFLs6fiYjWcblBydmzsDDlbxUkh6C4ITtWeepvvRh9Dt5YRFCEgTcFyy555jsISQeLbBaLC4wI2W3PsE85y1Zh4Xi8Ic9zCKM1iyMLdKpO5ZBkG8JFBSCvorxqNW/XRYhsYwurOuhhTzNTBJmk1F/GsFGytKKXomSpN0RlmeizTz/HCJNTWApa92IfMMbSVhSdL55/3ZtaOvrEspp52Vp59+miAIaLVaNJtNrl27hhBiSl5qtdonWnCc3H8fEpbVOI7zpJRiOBw+7LA8SLidgihNUy5evEiz2eQrX/kKtVrtLu7Z8UHTNJJk+U3vbmBW3/Pyyy9z8uTJu/p+9xthCYKA8+fPk2XZkVzl7oVO2XFjtsMyEdcv6zJ9UtyuuP567zrfPPfNqTPXPOSdjio3+nudDkMzKBgFdKkzSkYMogF1t0571N4XLHkQJatEGIf0kr3306VB0SxgSINYJWRZRpRFdMPF+1S2K4ziEaM0H21JsmTf85UCPdC41d7kiZNPUPJyk4BUKZIsJkxCLM1iGA2J0mjaKMjFyAohoGpXGYTDud0kiUbFqcztEGnj7tHucD9ZMXWDmlUjSTNqTpUojRlGQ0aPnETbbtNOBjDuspW7I1xZoNlYY1CwqO32cUyd/37V5VrXRFkClQi+8tgG66eezF9TcZHNFp3X3kTf3EJpktHzT8NTz1CulRgNA/pRipgE7Kk8b8R1XSrlEpFSmFFEEASM/CFq1KMdKrqVImgGhm7sa6hUyvbCFfxSvUTzL/wF5IW3kFev5p2t04+TvfwFvPXa0gJ2WeCjrsmlxX7RNZcSkrJj0plTpE/gmDrNJMNeWB2olaNaq1Byllsuw35733koWDrhkhyafBsrxPSOsdKFTClFGCeEnXxbcZxgxwkNSydB4CcZ/SOI9lft66qQz0U6mUbBpup88ikG27Y5deoUp06dIssyer3elLy8/fbbFIvFKYEplUpHKq6PulD0EMfjEBZFEWmaPhTdfx4xHA45d+4chmFw9uzZe8ay+CjQNI04vrMfk9tFHMe8+eabDIfDT03fcz+NhHW7XV5//XXq9TovvfTSkW5OUspP/XO825joct5++21u3bp1VxYCbldcf37rPN9++9vYuk3drTMIB4Tp/gLU1Ewc3TnU6YjTmHbanv7/Ce8EkYqoO/UpgTmIulOnE3QP6TySLKYd5Nuq2FX8xMeQBmvuGgJBmEb48XBqArDmrNEOloylKUHaS9jyt1hbWyMSEbv+fvJQd9fojNoYmoFruuhSRyAQSpCpFB2DMI1wdS8nYELtzfUriWu4+NEQzywghUQKgRQSDYkhLZIsYc2rT3UwYRxQMsts9rb37YdjOMjHnqG906J0cxsnCdAywa5t0nnhSWTBZf2pl+lvf5+3r6d8cLNEZgm0RPFnPYF95iUg/87o/R7d3/5d5HAIhkE9jWhduMiJrZtsnf1zKKlRKFj05uSPlEsOO70RtmXxyFqZbtdnFEQUi4qd7pAw7CKlwLLsaQdGLCnIFIDrkX3962SvvJL/cXw9urbBcMGI0KrAx/IKO2PL0GAJodCPEOa4rHQu2ubK/JVl+ho4EMI4B7ax3DQAVi9AmrpcuQ1z1b1YcYiMKBRhnLEz7uDVXBNHSnTbIMoUvTkkaVWvXLDaxGCRTuagfuVOIKWkUqlQqVR46qmniKJo2n25cOECSimq1eq0+7KoNprNuHqI5TgOwjIY5L81DwnLA4ZVWRBbW1tcuHCB06dP8+yzz953XzhN0wiCxWLL40a/3+fcuXO4rsvZs2fvinhvHiYdFqXUPT2md+PGDd5+++3bHil8EEX3k9np0WjE2bNncd3jTWW+HXE9wH/96L/yf7//f6OU2kcuCmYBx3BI0oQ4i0lVurTTIaWkalcP6T9MzaQwLuajNMKSFjv+LsvKlzW3MQ6fzIjHJGUPAs8sULHKRGlCySwxTPLuyL79UZJ+c4CfDllvrM+9h617DbbHnZE0SfcZBqCg4a2z1c9DKbOxgB8USpHrVFTGdridE5yZ01wwC4zSjCBuz74dUkgqVoXd/n7SVLLKWJqN0hXZ116lc+s6Zj9jOw0xTzzC2vpJpNLZPKmQJ17krbcikCl6avIXHEHxz/zPDG0LTZM0qh7b/+0ccjhEFQogBMq0aUQROzebcP0GPPYYtmsx6B62jh7FKRXXJIkSdpv5iJ6ua9TqRTLdQikIo5AwCOn1emRpQm/YQzdNLMtG1/XpuZBC0p3tvBy4FpeNEJULFu0xYRHkBMTU8qBQKcCWkoZnTUf6Jr9nuWuzQiYZVVObfjbT78H4vw0Ba66JAtIs13AkWUaU5jqmVGXjztP8749laEsJi2cZK4nCqjySgqWvdAhbNlIHuQamuUIDE64wDijYxuH3UfvJkpSS1oz+xdAlJc9G6JJBkhEk6UoyUrSMlS5ji3Qyz93GONjtwjRNTpw4wYkTJ1BK0e/3aTab3Lp1i0uXLuG67pS8VCqV6b3mIWE5Oo6LsAghjv039V7D546wLEKWZbz//vtcvXp1Gt53P+LT7Dxsbm5y4cIFnnjiCZ5++ulPlThMboT3KmHJsoz33nuP69ev8+Uvf5lGo3Fbr7/fRt5WYTgc8tFHHwHw6quvHqtxxe2K65Ms4dfe/jX+5MafzH18EA0YRAOqdpUwDXF0h6JXJExC+lF/37iXqZvYmk3TP6zTiNKI1qiFEIK6nVsSV+0KhmYQpTH9aL+jVsNbZ2e4fWg7E0ghcDSHG/2b+/5uaiau4ebjZFHC5q1bKB3Wqo1D50EKQc2pTcnKofdAo+pU2RnszLVNLpklhmGeA5MPjuVkRiCoOlWG0ZDkwP3H1EwsadMatnFNF8fIhe+GMNjq7tJjjyw2nniJJFWUVEZ31MNLBInKELHJ71/ZIGrkVtL/y3NnqD77DLt+gqZJPFMnSDPE9jZoeh7KKFJUJtgWFkLFiFYT8cTjU3eoCYTIU+ENKWi293fFBNAbhtPn2ZaFbVmUyyUKrslmu0cYhvR6faSU2LaNbVucWKvQWaAjMXSN/oyNrhQCz9QwNQ2BwtIkqS4Jw4QwTAgEzO6xZRkLC21d00izYJ/D1b731uRSsbtpaCRDQQFFxdQouiYZOakJx8V3skIs75r6UsJyFPevVR2Jo7iUrfpdyB3Elm/DMbRDhCUniHvbPjjqFScZzRlCXC/YSE2Q6Aa9KJlreGAZci+baQHmkVwpBE/XP51VdSEEpVKJUqnEmTNniOOYVqtFq9Xi7bffJk1TqtUqtVptKv5+SFhW4zgIi+/7FAqFe7IWOk48JCxAGIa88cYbhGHI2bNn7+u22qdBWJRSvPfee1y7do0vfvGLbGxs3NX3m4fJF/xeFPbFccz58+cJgoCzZ89+IueOB0l0PxHXl8tl0jQ9drIyK64/KBg/iGE05FsXv8WF7QtLt9twG+yOdlFK5Q5hY8G5JjWqVhVd6rn3feJPH5sHXeoUjCK741yTydhXDkHBLOAZHprUlmpoDGniGR67o8MC/CiNiNIIMzW5vnkDu2BTLBbRpYatO1i6hYZESIkuNIaRj6M7hGk0zXSB8eib5s4lXwBr3hrtYYeMbBpaObFNrjs1msM2CoWpmXmgpG5iaiZZqgiTCF3q+JGPH/k03Aa3JqNhCkpOEUdzaQ+7REmEJjU2vBP0/AEjP+CP/nOL4SCiuFblz3/lq2QJ9OI8jd01c4LS6QVoRu7K5ZFgo9hOZ2b7dYNa1WN3hrAopah5Jraus90+PMJXLrl05oyPAdiOSSH2KBQ8skwRjbUv3W6PJBwQKB3btrDH3RcAXQrWiiZJqkjTjCBI8Ech/ZmGj+OajCYF/4FL2XOWdy+Krkl7iZ1x0bXybsACWIZG3w/pDyMyRhyUuuiaRgpUDQ3d0FBAlClGcUo8XmBZmV5vmyudu1Z1JBa6lIUh8uJF5McfE6Yx8sxTZC+9vBfcuW8/DNoLPtsJ5utK1LRhZmjaSvIlYDo+JoSgXMjzX0aZmqbaxwvE9BNoUs7VyZwuu/n1/xnAMAw2NjbY2NiYir6bzSbb29t0u/m97P3336der1OpVB5aHC/AcXVYXNd9SFgeNBwcCWu325w/f55qtcoP//AP39OWxUfB3SYskzyaIAh49dVXPzNyd7D1fK9gMBjw+uuv43keZ8+e/cTX04PSYbl69SqXLl3ihRdeQErJ1atXV7/oiLhdvcqtwS1+6dwv0fSbmLpJySiByDsqk5EogWDNW1toNZxmad4pcapTl7CqkxOYMAnph/3p6rZruAgEnaA9d1ugiNOEkRhNSY8uDQqmh6GZKJUxikf5/UoIOmFn4bEZsbnPCSzf14xhNGQYDXENB4FkGO+35NWljqGZFHSPTOV7PtHNTC2SEehCJ0kT1twaCpHrWRQolWJIi2E4xLVcwjgkTmOiNKJMme5wQJIl+0bH1pwGO/0WZaeEqRmMogCpdLa6O0ihsV5oMAoiNtvbNIpr/P6vb9Jrx9TXKvy5r36N0SCivlGiPQhxDJ1eb0R1vQRhQvbYY6zt3CIcKZpufm8SwQh0neyRU8Qza/eebTDSJc3WEKXNT0jUl1gP92Z0JlKKnJzYVp4vowsY+mRxSDAaYEiJlCYBGkVTo92fTxpc28RfGvhoLiUs2ipXrBWP26Y+LsDVwSk2ICcK3QVFvmXquLaBlmXUXZMwzRhGCQdr/lVxJK6l4YfLf8PmupRFEfpv/Tb0erhxgK9byLcuIj++SvL/+ktg7f+M9RU6GgH05nTJ8rfOX1u0dVrDo++rUoruzGdvGhplzwYUpiaJFowKliyd9hyjhePUr9wJhBAUCgUKhQKPP/74NApCKcWlS5eIoohKpTIdH/s8FNdHxXHk1XweLI3hc0hYJpjNw3jmmWd4/PHHH4gv0N0kLL1ej3PnzlEsFu+oGD8OTD6re0l4P7F0fuyxx3jmmWfu6Hq63wlLlmW8++673Lp1a2rhvLm5eWxdo9slK+/svsO/fvNfTxPooyRiN9nrVriGS8EsoAmNndHiXBSAhtdg19+dHkt7tEdIdKnnGhjdIU6TJWQlz3iJs2RfhybJYjpBZ/r/ZatClMaY0qDhrAGCMIvwI59ExSgF2kjycftj6mt1LPNw4V22yvjxiDgbHXosyRIKRoFO0CVODxdnUkhqdp2bc/JZpBDU7Bqbva29PwqQmmTNqbPbb5NlaT46phRFq5BnryQRutTojnrYuo2uDMIsolGsEycpvYGPa9o0Cmv80W9fp3kjYL1S4X9+5esMByGGqdMfxTi6pN8fUSjaUwJQ+/JLtDe3aNz6GH8wzMtKwyB76SXcR06M084FjaLNbnPA0I85caI4f8RKiIXFeblg052rORA0yrlNtCs1Br5JphRRGDIMQsKwT2/QQdNNLNsed1/2ihXXXp5AH6+43w1XrPavenxSMM8W5bMwjcWFVRglWLpGu7/XqRJSUHBMLEtHSEmUKYIVblmOoa8gLIrBnOOQ770HvS4IQUGl+JrMD6TfQ757iexLX9z3/GXBnABFx6Q3141tbwx5ZRikYmkHJopT4jCh0wlB5YGgtq0TAb1wL7xSXzBFcDt2xp8mhBDous5zzz03TWGfiPc//PBDTNOckpdqtXrfLxTfCY5jSmQwGOB53gNRwy7D5/IqSZKEt956i3a7vTIP437D3SIsN2/e5OLFizz55JM8+eSTn/kXQwjxmWfOTKCU4vLly1y+fPnYLJ3vZ9H9ZCRuMmI5WfFfZXhxVNyuuP4Prv4Bv/7ury+1GlYo/NhnEOXixZJVwtIs4mwvMFKQp8kvC3pMsgRd6mwNtslUihCSklXC1HKR9CAeECYBNadGL+xNXb/moe6uTS2SR3OeZmk2YTvAj3xefPwFpCYJkoAgCaarumtundYSm+W6s0bbn/+4LnPb5oPWxJBbOru6y+6wdeixDXcDP/RZK9SQQiNKY8JxF+Vmd2t6DRTNIq7ukWQJg7CHpdnITMfUBRKdC3+6xUfvdHhs4yR//htfo9UekiQptfUSIz+iPyYplmsx6I5oVBx2dvrw6qt0Bs+T3doGTSM7eRLKZVzPRsYxxBk7u3l3TKHQDY15NXS16CwcGTItA8aERZOSsmMgUkW3P0IlKbszGgYpxFjbYlMubLDb8wnDgGAU0Ot20bR8dMyybeLMmft++fuIfV2dg3AsY6mN76rHpRT0V1j8Bitsgi1DgxlerDLFYBgyGI+A2YZGmKQUXAvbNkBKggOdmFV3iFwIf3g/xPXrOUGREjU1GhCQZYjr12CGsJiaXBrMOXnOPOQdz/y/l3XDILdNXjUyZuh7pgh9P6Q/vuZ0TVL0LDRDI53zW6BrkjO1e3NVfTY0UgiB53l4nsejjz5KmqZ0Op0peRmNRpTLZer1OvV6/XNReM/iuDQsDzssDyCGwyGvvfYapmnyjW98A8uaPwpwv+K4CUuWZVy6dIkbN258IvH43cS90IWYkN9Op8PXv/51SqXSsWz3Xji2T4LZkbiD4vo7JSy3K67PVMZ/vvSfeWv3LTzTWx70mI4YxaPp+8x2PfIuQw1btxnGQ6SQCwlAw23sIzRKZYc0LicLJ4nSmKpdI84Oi+8B1t11tv3FxEhTGu2tFsN0SK1epxPN6F8E2LpFzakRJhF1t56fjywjHafPJ1lC2SizOdyau33HcJFK0hkd1tV4poelWaRZSt2t7Y1nqgxN6ewOWmQqYxD54+e7CKUxjH00qVF2StiazU63RX/czVp314iijE7QYb3Y4NKFTd750xbPPX6GLz7zLO2uTxQluK6N70cMxjoMx7Vo90fUi3ZOVoB6rUjTNKA2e69SaCiG3WDfNaiNLYQt67A9q7akmzAII2qeBami0/NpzRAbf4mQ2zB1DEPHMPLxmSxThGFIEAT0Oh063Q6GaU0JjD5TyJQ8m/Zwsf7Es5cTklWPl1xrRq9zeCRM17SVYY+LRppm9yEYpAz8kMHMOdOkpOCamJaOyhSGJhbqOhxDn69xkZIJk+jrs7/rAg4UhEXboLlCR7PIXECNTSZsQ8NfQeBsXaPPcsISJvPPWZJmtHuj6aiYZxu4jkksBL044UzVw1hAqj5rLBtz0jRtSk4ARqMRzWaTVqvFlStX9j1erVY/NefRzwrHpWF5SFgeQHz00Uc0Go27msL+WeI4AwcnZgRRFH1i8fjdxGcdruj7PufOnUPXdb7xjW98okTgRbgfRfe7u7ucP3+eRx99lGefffYQmbiTrtEkDDJN06mwfhlZGcUj/s2b/4Z3dt+Z/m2ebuUoQY+WZhFmIa1B3k3QhEbFrmBqJlEa5boVARVrfojiBJMOza3BwVR4gWd62JqNJjR0abCzhKzoSmdnaxdlKNYajVxvsm9rUDCL3OwfTp+HvTGvnKwIdKkhhYYmtXw1VPcIk5BEpXimS6YUmUpJsxTP8BjFAcNgvy3wxFygeSCrpmKXieMUz7TxTJdu0MeQJtu9JgrFRqmBpgxutbapOCXWnDo3rrR54w93efHMczxS2yBFEQYxhqHjeCbN9p4Op1h2McOIZmtvDOlgCenaBiXXZHPnMGEtFE2yTg959QJyaxtlmqjHH0c988x+W+IxSq6FZ2js9HxGcwpN1zbww8VF/ehAoS2lwHFsHMemWnTY6g4IgwDfH9HtdtF1fZz7YiHKi7svsFrsviqdXp8pfueNhJUcg9Zg8f1WitUdmrnCGHK9VXcQUEhMBmOlv+uYOLYJmmCUZNMRrmTBPUQ9cQZx8xbFKKBv2rMHgnriiQO7sULrIwS9heGaOZnzTGOl9XKy4pxrUtBf4CY3wYRcDYN4OtInpeDFZ+5dJ9PbGXNyHIfTp09z+vTpqfV9q9Xio48+4uLFi5RKpWlwZbFYfOC6L2ma3nHtMBwO72uzqKPic0dYXn755fty5fqoOK4xqW63y7lz56hUKvesGcFnORLWarU4d+4cJ0+e5Pnnnz928nu/dVg+/vhj3nvvPV588UUeeeSRuc/5pCRsVq8ihFh5rnf9XX7p3C+xOdivuzioWzlVOEWcxVSsCr24R5IeXi0tWSWCNGAU7c25pCrdpzOxNZuiVQRyy+B+NCA+kI0ySX6fT0RUnjavxbi6O+2s2LqNozvoUidTGVEakQQJH9+6iu3ZFEvFQ2RloqE5GHK597hBQS+wO5w8rsZjaQmkebBly2/NHUGpOzU6o+6hx2wj16F0/LwbYxkmBdPDlDaD0ZBhNGIY+eN8lwb9YMhaoU4/6CMyjSAKWS+toSmT5k6PH3x3i68+8zJFs0Sl5rG508c0dcpFm90ZsmLbBv4wmI4bARSK9j7b4rWyS7vVJzTnr2DqvT76H7+GDALQNMRggGg2qXR32D37IyDyQr7qmfjDiF57iFkvkCxYFfdcC39OxguAYxsMlyTMa7qGaRiYhkGxWCTLMoIwJAwCWq02w0EXpJFrX2xr/6qsEEu7HwJWdkcOFd8H6sJVeo2SZ9FZ0bVYpaGxDY3Jx+ePIvyZfTYNnaJrogEFU586bE2QPfUU4uMrOJcv0dfHBaACdfIE2TPP7N+PFZ2Rkm3SGc0/lokJxso7mZgv2j/4PqucyuYV6FmmePJTsjP+JJgdCbsdSCmp1WrUajWefvppgiCYal+uXbuGEGJKXmq12rEuEn5WOE5b4wcd914VepdxvxWCt4vJSNid5JNcv36dd95557bDDj9tfBafpVKKa9eucenSJZ5//nkeffTRu/I+98t1mmUZ77zzDltbWyv1YJ9kJOx2xfUftD7gV9/4VYbRcOFzJkGPNwd7eSZCCIpWEVu3idOYftinaldpBa2l3ZeCWSBN00OdFc/0cPRcuxOnMZnKaAeH9R7T5xseCvYFVE70KBOYicWVzSts1DeoV+roQh93rVKiLEGgSLNsH5mahaO7SOTCxxvuOjuD+USn4a2xM2juExjoUqNgFrE0iyxTmLrJMPQJ45CSWeZWZ5vJC3ShsVHcwI8CgigkThLWnAZJkhDGUd6daff5wXc3+cbLP4QWW1QqLs3OCNPUsXRJlGWkYy1R0TPxijbbzf2fs+WYDKIRhiEpmga7Oz0sW6czx5XLNHWG73yAEQTgunur/3GMceUjSs+/iPnYI7TaPjsznYPREu1DtIDIAHiOOR07nIfhgc6MlBLXcXAdB9vU6fkBQRDg+0O67TZev4+lFFqjwdoTj9Bd0t0outYCAXkO09CmnQ0Y51sdeM7B7tBBrBpPci0DP1pewC/rEkVxQhRJ+mNCqGsaxYKNbmgEWUY/TEh/9EcJn3sa9dFVUJA9ehr1xBmY2Tfb0JaOxsGMrmQO8hQWsfJYSpZBbwVBW+VUBswdO7MNncdq926B+kkJy0HYts2pU6c4deoUWZbR6/Wm5OXtt9+mWCxOyUupVLovp2YejoQdHZ87wvKgY3LhfxKrvFlnpx/6oR9ibW3tbuziseHTHgnLsoy3336b7e3tu27WcD+I7qMo4vz588RxzNmzZ3Gc5SMrt3tMt0tW/vjGH/Mf3/2PuIaL67n4kX/IxndR0KNSin7Yn+pc1r11wiSk7tanBCZV+6+1qlOjH/RJssNFycROuGiViNKQNEup2BUMzSTLUvzEnxavFavKMB4Sz9lOvm+gjzSutK9QX6ujmRqdUWffc0pW7r6VZDGO4WJqBprQ0YQEIdCQqAziLMZ0cucqpVKycYJ90SjRC/sUzULu9CU0pBBoQsPSLKIkpuGtkWYpSTAibG1TSHW6dOgUvTyskbzmX3PW2Ok10aRGxSmhCZ0oSrjRzjteRbuIhc1WZ4eKW8YSDtEo5Y3f2+WVZ7+AiF0KZRNpGOh6gm3oCE3S6QfTHItgFDFK0un1JITAMHNiUilYjIYhrWH+2ZdKLjudw12PUskmajZzfcPk2lJQkynpKGbw0TUyr7LvNZ5rLuwSGIY2DZmch2XF+Co7Y88xCZIU0zSgnaL99z9C9PugMjIhyU5Uaf/Qq1ieh2VZaAfIw0Ex/EEUHHNOPsve980ytJUi9VXjUa6tLy3yj9IFsg19+pwkTWl3977fuUjdRn/hedxnnpmbWwK5NfOqfQ3jJfcppbANuXIblqHBCsIyWuFUtkgn8/R6cbVD2WeI47DqPQgpJZVKhUqlwlNPPUUURVPty4ULF1BKUa1Wp/qX+0WffByEZTgcUi6Xj2mP7l08JCwPGGYDFW/nSxAEAefPnydN033OTvcyPs2RsDAMOXfuHFmWHak4v1Pc6xqWibi+UCgceWTwqMd0u+J6pRT/1/v/F7/70e8CECZ7RaOlWxTNIop8e0EaLA16lFJSs2psTxLnx5sSQlC2ypi6SZIlGMJgx99FLem+1N06nVFnSnQOdjYMzaThNEiyGE2UCNOQYTzcn1KuBFk/4cZwi/XG+tzzXHdqdILu9H1Gsc/sJMp0zEsdLo50qVM0S9zqH7Yt1qVG0SxzY1Zz4w8RH3/Mel+xq0IyFKJUQj32OJrrsWavkWUZVbdCd9TDjwJkpuOHPvVCFV0YdPtDUhFwsrzBaBTjGjY/+L1rfOmx53HMIpotSdKM4TDIC9R+QKVRREqNesWl1exTbxTZGo+HTWyTSyUbIQS7u4PpZwYsLLSjJMuF2kmCUIp6FhKkABktYYE8fP90HXPhOFHJs2n257MCTcq5mpgJPGe5nfH0e5Om6L/3ezAcgp4HZso0xbyxSbHwPq2nn6bTaWMYJpZlYds2hmGsFMPP+3rN/q1gm4RLukNHEeRnqwIlHYvegjGsCZbZOidpRhIntMefgaFrFD0LaWiMkmzmc1te6GtSLHX2Ugq8JYYMEywS009gapLBChLoWfN1Ms9u3NvF6XF1WJbBNE1OnjzJyZMn8wWnfp9ms8nNmze5dOkSrutOyUu5XL5nuy/HQe583184iv0g4XNHWO7V8abjwuRLeTudh0l4Zr1e56WXXrpvEmk/rbGpiZ6nWq3y8ssvfyrn514eCdvZ2eGNN9647byZo4yETcT1syvny7YfJiH/7q1/xxtbbyx8PExCanaNQTzA0i0aboNUpfSi/boVUzNxdGdumrxSim7YRYS5cH57uDPOW7FRKAbxkGCmoGt46+MxscXHW7Eq+8bSAASSguFh6SZkgp3NHUZZwIn1E3PrrIbbYMffXfg+e2Nehx+3dBtTmLT9zpzHLExp0fZncmSUQly/wfoAtksWhvQoY2C0u4jdIf6Zdbb6e6NxRasEmcAxLdIsIUthEI4o2B4qhSwGA4P3Xmvx4sbzuJZLGgt2d3pU18tYpDlZqRXo9AIaNY+dnR4CGAQJ2vhep5TCNDWSOKXTHU0Jn1CCctmh50eHriHHMen5IcGJEzzxwTv4KHalketsYh90l+yRU4fOy7JVdbXka1Au2ksT5hc5UuUHshdSKW7c3CMr4+M3pKBn2NjXrrL+yiukQuS2yUFIs9lECuj2bEzLxrasuYXb4e5OPvh0VJTceR2a/dubl50yC8uQS7tAguW2zvk29CnZiJOU1oyeyDJ1ip6FjsLSc3vleSjZBu0l76PGV9iysyOFWHm8BdugtULzs+h+ea8TluPIFrkdCCEolUqUSiXOnDlDHMe0Wi1arRYXL14kTVOq1epU/3K3FxxvB8dxrh4GRz7EfYlJPslRCMusHuPZZ5/lscceu68I3acxEjbJn/m09Tz3ImFRSvHxxx/z/vvv89JLL3Hq1OGCbhlWEZZJV2XynFU38U7Q4f946//gveZ7S5/XcBt5GKSCJEqm+pZJ3oqpmwglGCWjfRqSg9CkRsksT/Uqg6jPINpznrJ1G88oYGlWbn8sJVl2+PqUUqNqVecK8BVZntUSG2xv7qAMNR09tHRzKsKXQmJIAz8ZUTA8wjTKhf4z6fR1Z42dwXy3saJZJE5T+tFgzmOF/LGgj5QCS7OwdAtjGGL2BUGxiKvBKItpE1B0bZKdbfxaCSwLXRrU3DJxlNEedenTp+E1IJP0oiEFs4gfRRiGzvYHPmfKTxKFKaSS3Z0uaxtlwiid5qygCRo1l53tvDNWaxRp9vYq21rZRZOS3a6P1GSuXVAZKNBNnWwUgRqTX8Q4ldvCzRRXHn+MzWYbvd0GFSPJ6NgW2RdehnJl33mxLX2akXEQQohxKOV8LBvfkVIs7b5UXIvOuHshxmNus+2PkoppShOSFMIQzXNx3fwfpcA1BVutHoN+n047775MbJMNw8Cx9EOaDnWgIl9VfK8aTyrY5spuwjL9D0DZNWdsl+djnlnEBGGUIGF6rK5t4rommRD0wnhKGrVVxaNSjBJYVh6WHIPOCnJ1lJGued28om1wsnJvT0B8Gh2WZTAMg42NDTY2NvL8q8GAVqvF9vY277//Po7jTMlLpVL5TBdpj2sk7CFheYj7EkchLGma8s4777C9vc1XvvIVarXap7R3x4e7ORKmlOK9997j2rVrn0n+zL1GWGb1O1/72teoVCq3vY1lGpbb1atc7V7ll8//Mt2giy51SlYJTWgMkyH+OP9DCEHdqS+0CJ7krVRFNc9CUWk+9qWZxFnMIBpMgx1t3UYXBu3RYuF8kqWkKuXm4Mb4/SVFs4il5xarYRrm42TSoDk6HMY4gZmaXN+8ccgJLEwiwiQaE6cS2weE/kJILN3E1i1MYZNkCWvu2vRcQF6DakInzTIcXVGyCiglAEWmFJZm4kcjlBSYem7bPIoDkizDixN2s0G++J7lxUhVuvQzHz3LWHOqpLaJIUy2O01AUbA8CmaJ7XYTUzdY8xr4fkDJKtG7kXHSOU275VMvlbl5o4NhavvISrVeQJOSne09Yjg73tSo5F2X2nppfHwij90QGlKD/ihGCpmviSvIyKgXbPy+T38YMULD+J/+DM7ONqLVolow2Tn5KNQP6/cKBZtggQNYuWTTWUJYlhX85YJNewlhMWb0J6pSzj/ELJtmi0gUpCk4Djj782SEgILnMkqgVCqRpCnh2HmsPxggheBEvcQok1iWPVNE74nuXdvAX6nFWC5idyxjKWGRQq4cKTP0VUWdWOnKNZtF4wcR/thoQAClgo1lGeTHLvaPZs7A0SXDFdqTRcn0s1gVOumYh4kkwDP3eHcFPnvCMgshBMVikWKxyOOPP06SJLTbbZrNJu+++y5xHFOpVKbifdd1P9WF2+MiLA9dwh5A3E8dhE+KVYRlNBpx/vx5AL7xjW9g24dD0+4H3K2iPo5j3njjDUajEa+++upnciOYdCPuxO3tuHC74vpFWKRhuV2ycm7rHP/uwr8jTvPiJMkSWjNEwjEcSmYJXehsj7aXbqvhNtgd7U73a7bDMunAeIZHkqW0R+1Fm8E18h+5TrD3HKUy+lGf/rgLUzALSPJrds1ZQwhJksX4sU+Y5gXrxAmsUqnM1ZE5hoMmNNrB4X1R5N+FNFVsh/OPe81tsDPYnvs5rHlr3OptHXrMNV1IBR0RIGwbRiOMQpG6LKIycEcRPc9klAxp4LHd3aXqVRA7TYw3L9DuttmorpM89jSqDiWzjBwYuJlFtzuiXPS4eaODbkjqjTKbW3knRdMEmibY3d0jK5WqR2cYYhgaBVNnZ6eHZem05xCJajXvxEwKp3LBIg1jkjClH+TObVmWkUlJ+sQTiDNnyBolmCPQB4iX6ED0JQVHwbWWFuurVvRnx9DUxglUrY5oNqep7sMEkJC9+MJ0TGwW/sx765qG7rp4rotSijCKQOTz/+12G9M0sSyb2UvANZcTFlPXVtoVJys0NEXHoLuiexIu0fhA3oHpriA9izq8CugNAoxRRJxmaJqgXHCQhoYfp/gzn4Gly33/P3dfF4ybTXCU0EnXnO9m9uzG8YQT301kWXZPRiEA6LpOo9Gg0WiglML3/al18ocffohpmlPyUq1W7/pxPCQsR8e9eUU9xB1hGWFptVqcP3+e9fV1XnjhhftGrzIPd2Mk7GBS+2eVsitn5vM/S8IyGAx47bXXKJVKd5zHc5CETf57olk5Cln5zuXv8Fsf/NbS0TIhBIN4kI9+CaZ2xUmW0A/7JFmSj0y5i7svkJ97Q5psD7bHgnVBwcy3pZRiFPv4iU/ZquAn/qHslVlU7BrDaDB1AhvE+0exDGkgfEG72+a5R5/FtEzCJGQUj0jHwv6SVSRMIkbp/EH/klkkTBL6yeGARFhlW9xgp3/4sbJdJooTdKmzVt5APA7RB5dwmgGbcpCv7Jsm4uQpNoonybIMx3Tov/8utR9cRI4iTF2gfbRD+M5l7D/zY2j1ZwlaEr+fUPBs2tsjdJVR6bfYubUFtTqaY7PRKHLzQNij0DVKBZtoFNEeE4tyxWO7fdjGenJn8BwDS0pazfycN9bL9MKYdquNpmmYljmW+CjavWEuDhdMx8cADEPSW6LRWNZBsVd0FyaFqyYlmhTTf4TI/40QlN2x45FS8Jf+F+Tv/T7i2lWMMGbolZAvf4HkhRcPbdvU9YVkQgiBbZkYhsG66ZAkKUEQEIYBSimazSa2bWNriixbPMJUdE2ac2yjp+/DavcvU19O2lYJ4SG3Zl6mgUGp1SGNY7e0NFX79C+OZeC5JpmUtIIByxQsmhQMguVk5Cihk4vucPe6fgWOJwzx04AQAs/z8DyPRx99lDRN6XQ6NJtNPvjgA4IgoFwuT8X7nucd6+9xlmUope6oDpuQrocjYQ9xX2IeYZnVH9zN/JBPE8c9Era9vc2bb75522Lyu4EJYfksW+sTcf3jjz/O008/fcfnY/L6CdmYFdevIitJlvB/vvN/8kHrAwpGYdq1OIiKXcktgsfdFxT77IqFENTsGrZh48f+0i7durs+HrualA7qkG5lw9sgzmKqdoU4jRlEQ+Jsf3G25jZo+s2FIyYoQdAJ2BnuUq/X6acDmFnkNzWTulMjymJMzaIkSmRZRqoy0iwhzmI83aMb9KYjbLOQQqNqV+eSFUFOVoahT9kpo0uJFBoohSEt2sMOoyTIzyMgPY26XWb75rvIIMR0C5Rf+CJR4wk2u/m5spTOxhsf0k5iZLVMITMJHIW32UP//13A/5HniIK8kE8jCR9fpfj2ObTRCDITxzExvvRFhsUX9u2rV7DQpKDb9mccp9TcYth2DIZ+SKPssLvTZzhDcNs9n52dHQzDoFatIWROnitlZyocV0pNx8iEEBQLDq3+/A7Aqg5KqjI828DSNKQEofJrP0kydCnoDwNEnJIqxcEStl7xaHbnVOGv/Fl42adhKAbCBMMAP0TTJKahoRsamqZRcE3CNAMhyJQiUYooyQjiXCtWcPb2Xdc1CgWPQsHjxo2bFIsl4jji+uYOUZxgmrnrWB5aqU9lNKvuCgXXXElYltoIkxOJVaGU0YquhmebK62Z5YJ70CiMGYVxTr66Q0qeTcMxCZWiHyT7vttHCYNcedIUc8lVzbOoF+79iYh7aSTsdqBp2pScANPuS6vV4sqVK/ser1ard7ygOanTjiOHpVgs3tE27gc8JCwPIA52HtI05eLFizSbzbueH/Jp4rg6LEopLl++zOXLl3n55Zc5efLkMezdnWGWsHzauFNx/SIcPKajiuv7UZ9fOfcrfNT5aPq3WbviQTggTEPW3DWao+bS7out2URZRKufj5BJIfN8FGkQZ3neikJRs2esjRdg3V1na7h16O+O4eLqDgKJKU12g92FZEUqyaA5YJgOaTQaaHOsdMt2mVuDLRY6gTkNdoZNhABDM3L9htSQCAxpIIVGlEQUrSJKZWQosiwdC/dNtud0Vhpug5vdzf1BkZpB6d0rRO+/x7ruEJWLxKMRw7feYpClWI89Ts2p0vnwMtt+lw2nSjfV0DOBEUskdaKrAaLVR7plVCboX76O98afIJOUXaeCIxSy38d87Qc03QKs5doxKfPclFub+y2pq7UC7UPaEUW96rGz058K9aefjaNx+dpNHNehXC7vaXuEwDANNBnv6V3Gwn2lFEmqSNMsL9JFriqavNax8w6KJiWeZWBoAqEUSZISxymd7R5Kwbwo07VagWjZaNCyRQLXJS07MGNAkKYZozSb5n9oApoLdDe2ZVDSBbYwQcuT26NUTceQLMvixFqF/igiSRKCICQIAnq9HlLKMXmxGZjLy4jZ7JR50KRYrV9ZUdDlGpjlZMSx9JWEZZUWp+iYtNqKvh8jmvnCha5JSkUHoUmGSXqkMMjhCv1KwZ7flbsf9Ctw/xKWg5iYV5w+fZosy+h0OrRaLT766CMuXrxIqVSaiveLxeJtL+pNfgsfjoQdDZ87wvJZ6wE+Dei6Pi3kfd/n3LlzaJrG2bNn71u9yjxIKYmi5T90q5CmKRcuXKDT6fDKK6/cM+FLnxVhmYjrd3Z2PrG4fhEm370kSZBSHmkE7NbgFt98/Zv7NCqwZ1c8wYnCCVKVUrWqdKMu6Rx3rpJVIkgDRtFegZep/cnwlmZRtsoooObU6IeDQx0TKWROaPz5hGY01qRUrCo3h7ltsa3ZOIaLLjUypYjTkDAK2dzaRhmKtUZjKq6fni9yC+Wd4YKxNTUe8xo/rhTEaUxMXuh4hkeYxPjRYecz13AQStId7S/ohRCs2XV2+numAAXLwzVcVHfA8OOPCFyDvmNRUiaJaeN0+jSubhI/8Sy7nS5lw8ZIdOJUUJQaJBJzZBP4GZpICWIYDEeY2Dhb1+gHCeValYKCJIGhU8SI+oiPr6LWGliWjmfpbG8f7qqJAwGJJc9CZBnt1vAQEQiCgIHvUygWKBQK+649AVOnrlnhPuRkqT+K9rIls7z7UrBNHFNDyzIKUjD0Q3rD/aNRtarHcEkhvczVCljoSgY5l1kWVAkwWEIEgjDG93U6B0bdFGBEMRVDo2xoWNIiSk18yyQpeGRKEYVhTmCGPS63W1hW7jpmW9ahsdFl2SkAJceiPVxmibxav1J0jJX6lVU5MKa+OhzTMrRDY7pJmtHq7NHRgnJpOAaxgl6YkB1YQLENnWDF8TiGtoCw3Pv6FXhwCMsspJTUajVqtRpPP/00QRBMtS9Xr16dPj7RvxxlJG5iaXwndelkJOwhYXlAcZQ8iPsZk87D7u4ub7zxBidPnuT5559/4G4gdzoSNhqN9pG5eykZd3ID+zQJSxRFnDt3bhoeetzkdnJMV65cYX19nVJp+Y/vxZ2L/Js3/80+YnIQE4ewzcFe8OFsyGOURvTDPjWnRnvUnhueOIFneCjFgc6KwDMKOEZuNBClEQLmZrVMYGoWtm7TmnECC9KAIN0ryqzM4uqt61RKFTbqG+hSRwhBmqVEaUSURnhGYaHGRhc6Jbu8kMyUrQp+NNobjZtBySoRxCFRsr9INDSDNWctT7UvrBGlEX7kI5F0hwOineuIaASVCnVlo2caKTEd16DeH6ANYkzLQNTWUV4Z0emheQ2MkUHia2TDAWntNB001gplfD9k0BmwpikSBWGsiBVULOgkJvg+5aJNMAzRCjZptv86sG2D9ri7oGmCWtFhZ7tHuezgHyheh8MhnW6HjUdOoBuHv+flsrtw5KhSdmn1c/tm19BI44Reb8SwMyQ2NaJ0nMsxkxk0KT+WFSJSiqWEo+BaDJaQnaJnLX29a5vLk+WFoDePEClFHGd0uz66kPsIjW3pOI6JXrBJyR3Mrjd7hEFIMBrR63bRNA3btrFsG8eyVmanaCs6Erpc3T05mn5l+X4UHYNmfzm5mhgvLPpYDU2y29vraEkpqRYsNEPHT3LxfsFaTVgW5fI8s35vLKitwoNIWA7Ctm1OnTrFqVOnyLKMXq9Hs9nk2rVrvP322xSLxen4WLFYnHs+jiODZTQakWXZQ8LyEPcnpJTs7u7ywQcf8MILL3D69OnPepfuCu7EJWxiPrCxscELL7xwT95cP01r436/z+uvv06pVOILX/jCsTujTI7jpZdeYmdnh9deew1d11lbW6PRaFCr1fa1xX/v49/jNz/4TTzTo2gWGUZDRsn+isTWbQzNONR9mYQ8TlLq1911oiyi7tQJ05B+1M/HfWZQsSoM43nCecUwHjCMBxTMAqnKiNOYil3FkAapSvDjEcF43wpmkTRL6YU9FsFMLD4aO4FZrrWvwwNgGzaWZtGPeriGh6WZaFKbdmAEEl1q+NGIkl0my9Lc8UopMpVRskoMwyFSSGzDRhMSTUiE0HB0mzTLsLS8aE9VRpImZFmGUJJb3f0jbjWnSs8fkGQpjulSxkaPLW7KKB+NUoqTI40+0I981guP0B/6VH74VbTv/Xf0az3S0CJKJLpb4eazL+B5Lr4f0u+PkKUi5g1FJ8pIJ8enScgy1k5U2e34eYr1nMK6WHYI2j71ssOwH0zHvwzbhHGRrIB+r8dgMODppx5jlM6vNPU5yeVSQtm1sDWJA/id4ay0CE3TqJQL7LT6EIZgGGTj+4gAEOJQx2UWpaJ9qLsxC8cylhIWy9RhGWFxjKWEpezZdJbsn5xDaIIwIZgZZ6qXHdxM0KiWMYwacaZoD4Z0Bz6ddpvIEMTCyAmMZaHPsSYOV4jPi65Je2ko5WpXrqJrrSQsBzucc55AfxSPFzsXGBA4+wM0syybkmrIxwdtoOaYdMNkbodNwFyDgUbRoeLe+0J2OB7nq/sJUkoqlQqVSoWnnnqKKIpoNpu0Wi3efPNNlFLT7ky9Xp8ujh6XQxjwkLA8xP2HJEnodDpEUXRPjTjdDRw1IPMgrl69yqVLl3juued47LHH7sKeHQ8W2QAfNyZmA8clrp/FweT6kydPTlek2u02u7u7XLp0iTAM8xt6vcbvt36fH2z9AGBfd8UzPVzdJVUpaZYSpMFUTD8PUkhqzuHRLU1qVKwKppY7ceW5KC2UWkwOK3Z1LObPi57OAVthU7NYc9ZIVEo6diHzY39fXaMU6IHGldYV6mt1LPPwSn/RLOZamjg/riRL8OOZcROjQJpljOL5y8nr7jrbC53A1tjsbx+SwhTMAkmSEcT7tQ4Nt0GcJFTdKqM4YFDMKFXXuLVzE6NUoarbiFHCrVGL6lPPs149TRBGVJwqnKwh/8IG8cWPSdo+qlDhVuUkslRAJYJ+P9//9R/6ApsfXEP1+mA7lHRFp53ScHU2a6cgU9QbBZq9/QWr8H3CZkatVKQ54yQmhaA7LhCVUnQ6HYIgoNFo4BU9RnMsiwV7o1WaJqi4FirNOwydUczA0onnFdVKIc6fx3jjbQiCnLA88wzJiy+CEBRdk94k8HEmtHKCVbkiy2yUYXWhn64YgTKM+Ys0k1eVChb90fJOQN+Pcp3OzHkVwEahiLu+hqHDdndAqz+k2+mg63o+OmbbmKaJoWsriYS+ImDxKBoY29DoL+vAwMpxsLJt0R2FKLW4c7YqDHIUxGwng9wgQEClYGNYBqMkYzAeYSw6e9fNLO4HO+MJPg8dlmUwTZOTJ09y8uTJfMGl36fZbHLz5k0uXbqE67rU63UMw7jj8zQYDKZdzQcdn0vC8qCOhA2HQ86dO4dSipMnTz7QZAVuvwORZRnvvPMOW1tb90VY5t3usCiluHLlCh988MFdMRtYllwvpZy2y5999ll83+fqrav8q9f+FR+0P0A39Kmo1zRNBIJhNGQYDak7dYbxEM/wKFtlwuRw18TU8lT4Xf9w8Z5m6bSr0XAbNP0WJbOIqVukWXJIt7LmNsZi/sWfRdkqc2twa5+4XpManuFhavn+N7ebNP0W6431uR2smlOlN7ZdnoeKXWUQDOY+LoSgbq/NJSsCci3MjC5luk2nwmA0JElTDM2gYHnoUkMTBju95lQLJIWk5jYYfUFj7VxKt7NLEvqkmk791BPw/BfJ0oyCUSCLwEhs4oJL9sUG/ihi1EuREuqVMreu55qaxnqRdisi+frXkW+9heh0sPQUuV5n65mXoZTfv5LZW3Wvhzx/nlM7V2kqk2GpjHj5C6ixMUS15tHsjciUotVqkSYJ6+vrGIZBd8EqfbnkoGkSZWh0OkOaM12LStld2AXR3rpA/+JbIGQe4hiGyAsXMIKQ9JWv4boWg4mD1Di0ErWnkVmmL1k1Lqbrkv6SxwU5mViGhYRn/H01DR2WEBbPMRbqc8IwIQwTSgULYkHdLuDUaqBShsGIdrdDM0lZrxQIVV5sadr8wm20IqSx6ForHcRWkT/bmJ95MgvTkOOxM7VwJGxVGKRr6XvPUdDpBzC2hLZMnYJnjfdFHtrnZ0/cP7/nn3fCMgshBKVSiVKpxJkzZ4jjeKp9uXnzJkmS8Oabb061L7ebc+b7/qcedvlZ4XNJWB5ETFbJT58+fSxi9PsBt+MSFoYh58+fJ0mSOwo//DRxNwlLlmVcvHiR3d3du9KJu518FSEEQ4b85u5vMnJHnLRPEoQBQRDQbOZFtm3bOLbD6eppmkETFPvGvjSZW/fqUifLMkbJaF8I5EFoQqNsVaYakNltTXUruo2pW/TD3rSIm4eGuz5Xa5KqlF7U2+cEVqvXMXQDR3fyUS+hgRAYQmMYj9CERkp6yFVszRlbI8/ZD10aFI0iu8PDhESXGkWzzM5g7zFTt3AMC0e64xEyDT/2CeKQbtClatXYGex1pSzdpm7X6I76DA1B8MpXqHVjYt9nqEvWTj9LdzjESzWk0iHRSEJJGoA/CtEyAyEzXM9kZzPPQlnfKEImCcME6nWyH/kRSiKhqxQjzWLSmiqWHbqTjI8wwPvD38dtNQk9hwgDWm3kH3+f7M/+CKrRIBP5mEWz2URISaPRGI9ruPtGdSAfNbKlRADbO/NH+Iw5o2IARDG1S2/RkhpMxLW6DnGMuPwh4qUXiYrOXp4Sapo7hALb1BiMx60m2pfZr0ipYNNZYKOcP27Rmmd3PPP6ZUGMmiZXEppoRQfHMfWlhgKaFNP3UIDvT1LlTaquiSYVtqnoDkd0d3skQsMei/dN0xy73kkGwaoOzPLCOM+BWd498ezVuSgT2+T8K3j4fmbp2r6QznlwLWMhqQmjhDBKqHgWyTCk5NlYjkGQKvphzDPrDzssDwIMw2BjY4ONjQ1u3rzJjRs3KJfLbG1t8d577+E4znR0rFKprBwZGwwGh0xEHlQ8JCz3OZRSfPjhh3z00UdTC9rLly8zGq3ofz8AOKrovtfr8frrr1OpVPjqV79638zW3i3CMiFvd0tcf7vJ9e+33udXz/8qfuzjGE6+Su9ldKMucRoTRRFhEMII3my9iWmZ0+6Loec++Ok4ib5qV+lHfQSCmlNDkxpBHOzLbbE0C0uz9oniDxwBQTLC0i1u9m8Aubi/YBYwNHNMiHzCJMxJz5LwSUMZbG/t7HMCy7Is7xaNjW7X3DVuDjdnXiUwNRNLs5BCw9M9ojRizV1DMJMKoxRSSHShE6Uxa159/GqJEApBnqcSpwllu0SUxYRxSJSEVMwym739o3KGZuBqHs1BG9dw8CwXlMAPAm528v2rOBVkprPpdihV6ziZxiiK8fQCprBRoYYKddIIRn6EYzp02z6GJdEzgyQJaWwUafeGqGDve1hbKyA1SW93v/mv5ZjTef7Gzk16zS7DQpFoIpw3dBgMER98gPHICXZafXZ3djFNk2q1uieCH6/e65qk6lmMhiH95pA+CstbbLaxsAvS66HHEVgHsg90HcIQq9+lV9p7bDoOJnLyUiq6BNOwSzV1sMp3V6wswqVY/rhpavuyfA6i7Nm0FsxIKUCT4w7Nku/uKtetomct7E4JAZkSSGlh6JKy45BlMZKUaNCmm0GmmZyoFUlTubD7AkfQrywYsTqwR0sflUJMSU/uEnb4OQXHIFwh2l81picQ9PwIBbn+aawxeny9hGd9NiHGnwRZlt03v7OfJbIswzRNHn/8cR5//HGSJKHdbtNsNnn33XeJ45hKpTLtvszrpAyHw89FaCQ8JCz3NSatxH6/z9e//vWp69In1XbcbzhKQX/r1i3eeustnnzySZ588sn7ahVCCHHshKXf7/Paa69RqVT4whe+cOw/KpOuylHJyvevf59vv/Pt6ejRKB5N9RlCCCpWBbtgIxBsDbcwEoNglHdfet0emq5Nuy+PVB6hGex1IWbF+IZmUDAK2LpNlMZLyApYmo2lm/uek2TJfvtj3aZolshURsNtoJQiSkMGsU82diKzMotrt65jezbFUvGQqFeXGiWrPGdsTRGlEUmaUrWr3OzfnLufJbNEmESEyeFirGAWSNKUIN5fMEopWLPXDmWvOLpDycoF/K7p4kc+mjQIw3w/6oUahjBo9npoIuZU+QSdXp+i4yFTHaF0RGIQB3kw4mgYIzXJoBeiGXkeTKs5ZG29wE6zS6NaZWcwTp7fKDD0Q0b+/nuWaem0uj6WqeFaBs3ruwigZkq2p3WfAE1DtNtYtsaVy7fwXJdSuTw925qUJHHKWsGm3RqwM5PbUi67CzsRxYK9WBthW/SlyTgCfu/vWR7SWKoU2FlQmwoEGXvZC5POS37d5v8eBBFplu51Xw5cO8MVXYdVQYxLtRZK4Voai6Xl+XNWdWhWZaeYujYlhJom0cZGELbmosURSRITdTsEUYzSTTItX6gwDGNKGHRNWzpaB7kV8VIHMVbrV0rubHClWnBfW/HbotTKfS27Jp051+MTjfunuwIPOyxHxUFip+s6jUaDRqMxtStuNps0m00+/PBDTNOkXq9z+fJlzp49S6VSmRKW46ht/tW/+lf8wi/8Apubm3zpS1/iX/7Lf8krr7wy97m/8iu/wr/9t/+Wt956C4CvfOUr/JN/8k8WPv848LkkLPdT0boIg8GAc+fOYds2Z8+e3ef5/XkiLIuOUynFe++9x7Vr1/jSl77E+vr6p7x3d47jFt1vb2/zxhtvcObMGZ566qljF9dPOiuwOrleKcVvvPcbfPfKd5c+J1W549YoHqFLnWqhilbSGMUjekGPMAoJRgFpP+XN5ptYtjXtvsyGMMZpjDAEO8MdkixBkzpFq4ihGSRpTD8akGTxWPSeLHX5mjynE3bmPCpwdBctkmxtb/HYxmNYroUfj/Y5kFm6haWZhxzOJjA0C1dzaPrziVXNqdEb9Unm5M1U7AqDYHhI66JrBgW9QMtvU7QKWIaFACSSznDA1kzHpeZUieOUslOiM+pBBh1/QMUpkaYZcZRiGRYqyregZQbRMEUonWiUEsQhJbNIKPK8Dt2wqNRcdls9LMugtTNESqiteezsdmmsVfGHg/3HUcsNBnodn/YgRNg2AhioA4VQlpFYFtdu3KJUKlGYWW2slRwsQ+fW9vzP07TyhPh5cJzFCe3FjTrDk48gbt7M2wWalpOVOIZqlezkCegu6C5I6A/3tjtrh6yUwrZ0/CBGIGaIzN7vlmsbjOa4SE2gSbk0vwWWBySq8TaWoeTZ8y2RZ98jXk4CCo45t8sjRC5aNk0TzzZJhwFhGJAFIyK/T2LoSNMm0wxOrpXpjpaTs1X6FcfUV+pX9JkOz6Jb8qpxsKJrrhxNM/T55/3ZU5Wlr7uXMPkdeEhYVmPZeRJC4Hkenufx2GOPkaYpnU6Hra0t/s7f+TvcuHGDL37xi6yvr0/vE3fym/7tb3+bn/mZn+Gb3/wmX//61/nFX/xF/uJf/ItcunRpbv30ve99j7/+1/863/jGN7Btm5//+Z/nx3/8x7l48SKPPPLIJ96PZfhcEpb7HVtbW1y4cIHHHnuMZ5555tBF+nkhLItGwuI45s0332Q4HPLqq6/et3Z/xzUSppTio48+4sMPP+QLX/gCJ06cOIa927/9WXH9bAE2D2ES8u13vs3l9mV0TSdJ5xcLVafKIBwQZ/mPfJIl+wp827Q5UTyBLnTaYRvd1wlGAYPBgE67g2EaOLaDbducLJ0adzLyfUyz5IDTl+CEd4JEpViAIXUG0eCQlqRm13JhvJq/z0opon7ItdZ16vU6gcy7QQC6pmNrFp5ZBJWRqYw11yTOcmexIAlJ0hjP9FAZdIP5GpyG29inSZnFmrtGa9hGSolnehi6ji4MdKmRJCmjOEAp6IcD+uGAmlOjNWyTjg0FbN2iYlfxgxH9YEA/GLDhbaBSSNIhKIHIJGGSIBMN07TJQkGagMoEMpV0B30apRrtzpAgjFivVgmDlFYnH8srOQU6wQivYLDb7GGaBq3W/lEw3civ/eYM0VCPPUb1w3fykEHHySvbMCQDwhNrWE4Rx3GQUlArOYwGIa2dPrXGgbGtGQxGi4vuYImA2nFN+l//Otrv/z602zlRASiVyP7M/0RvuHglvVxwForEhRAUPZswyT+Pfd0XlY+TOZaBH8S5rTSHF+BKBWupDbBl6gyXrfQrRZRmeEu+w+Yibc8YuiYZrOjArHLUsgydYRChaRLXdce7poiimHAQkKYDdoYdhG2jDAt0E0M39o1rTUaslsGzjJWEJZoZO5tXGB5FtG/pOn2WE5YoOXy/l0Lw9InK0tfdS5hnsvIQ83E7tsaapk2Nai5cuMDbb7/Nb/7mb/Ktb32LK1eu8Oijj/ITP/ET/MRP/AQ/9mM/dtuhz//iX/wL/tbf+lv8zb/5NwH45je/yW/+5m/yr//1v+bv/b2/d+j53/rWt/b9/6/+6q/y67/+63z3u9/lJ3/yJ2/rvY+Kh4TlPoJSivfff5+PP/54aeH5eSEs8wr64XDI66+/juM4nD17FsO4f+Z+D+I4CEuWZbz11ls0m83PXFwP0A7a/NLrv8SNsTZkEvJo6RZhEtILeygUa+7a2JlrcYdJCokf+wyifGW+5JQ4WTqZOzAFA1r9FkEQIHzJhd0L49GxPA/i4H423DW2/O19TmDaWLdiSoMMhYHOtr+Tuz3NPRmCrJ9wY7BFo9GY6msmSNIEwyzS9HeXOIFVxiNegqJVRJKfUykkQkhMYRJnEXW3NqZSeTGbKYWjObRHHRSKJE1yIhhBySrSj+JDo2MNt8FOv0XBdHFMmyiJsaTFZifvtLimS8kssdNp5S5kXp1Wt8tasY5IMmzDIRkpNHTCMMUQFjutLo5j02oPCKMYyzQYjeKpjbFjWwSjBN0SdLo5SSmVPHZ39ghLuWxj2wZbB7sihQL86J+HP/hjGI1AKVJdo//oo5z6xtfwA0Wt5NDvDtndyl+r6ZLOAnF6sbR45Mu2jKUZKmGcgueR/sRPIG7dgn4fXBf1yCOUqx7dJYL5eZkvs5i95g92X2b5s1JjOq3UWCOTP39e1sksCq5F2F0scDF0jVGUUl2yjWRF16LombT7y7NThku6RAAF1yTs7v+eCCGwLBPLyicKHFNjt90n7HRBJTiuie15JJqJZhjUCs7cEatZZAd9vg/gsG3yYcLiWSbBAqvxCeZlrsxCLrBnPl0vYJv3T6k2+c16SFhW405yWF588UVefPFFDMPgf/yP/8Hf/tt/m+985zv8o3/0j/hrf+2v8eqrr04JzFe/+tWl24qiiNdee42///f//vRvUkp+7Md+jO9///tH2h/f94nj+K66r94/34JjxP04EhbHMW+88Qa+7/Pqq69SLC5eNbwd96z7GQePc2dnhzfeeINHH32UZ5999r78nGdxp4QlDMOpzfW9IK6/0rnCL5//5X3ZKQdDHk3NpO7USbIEV3cZxsO52ypZJcI0ZBDvjREFSUAwk96+Xt2gbJQI04jOoEOzv0u70yFLM+zp6JjDieLGfJevLKEbdBAI1tw1Nv0tNKFRMkuY0kAISZzG+IlPkiQMWgOGyZDGemPfONoEa+5a7vS1oECqO2u0/fahUEuYuJpVueVvHnpMitxgYLO/deix6ejYzPfEMWzKVoUkSbANi0E0xI9GeWZNr0nVreQkKdPZajepFSrowmAUhtQLNdJQYWKRxQKVCcIwRaWC7VYHz3NQsSSMQlzHouC4bG/tEY9qqcj2dpdkvGKt6xrdTv6ZCQFrawV2droIcfj+ppsabXuD9H/9X2Fri2Gvx9B1WXv0NK5tEw6H7Gzt70pVKh7NOdkrAPayka+iQ9AezH3MNHW6Ex2MlKgD4w+r8lWWdW5ALewI5N8vxTBI0DQNpUCpbDyipMgUuU7CD8lmSMyct1iKgmuwTI+Rdy2Wk4BVI2W2qTNaMUK16u49IVae5+J57rj7EtFrjwjDNqYh0KsFMG0SYaDp+tzzsSycE3LR/mxHbO4ailglpl/tVFa0zbl6qmfuo3Ew2CMsD0X3q5Gm6b5x/k8C3/cpl8v86I/+KD/6oz/KL/zCL3D9+nW+853v8J3vfIf/8l/+C3/wB3+wdBu7u7ukacrGxsa+v29sbPDuu+8eaT/+7t/9u5w6dYof+7Ef+8THsgqfS8Jyv6Hf73Pu3Dk8zztS1+Dz0mHJf7TzFf4rV67w4YcfTp3SHgTcieh+4oxWrVZ5+eWXP3Nx/Wu3XuNbF79FnC6bvdfwTI9bg1vTv9m6TcEsoFAMwgFhGlJ36nSCDqlafI07uoNQgpuDsWBdg0Z9PXcgSzK6gw7tYYdkkPJWcxdn4jpmmvsKJU3qeZdhLIyfaGpmYSiDznYX27Z5/tQLSCnIVEaYRIySEWmW0vAaUwvlecgDH+c/bmoWtmbT8g/rXXRpUDA8dgeHH2u4DYbBiJJVRJc6SZbixwGO7rLZ3d63japdRShwTIdeMKCol5ASXNtBRydLFY50Cf0EDRMhNYJRgoo1hBD0ugHFooupmWy3epQKDrqhsT3TJdlYL3Nrs42acUqqVovsbA9xXQNdF+zsdCkWbDpzOgDVaoGd9pBM02haFjTWeP7JR3NDhlvzx+eWrZ4vG4ta1kEoFmyavcWr6csIiWXqS4XXpYK9dISpWLCn+St5R2VsmzweFzMNyTCIpv+fP2+/bfIqwf4qolD2zJW5J6vIiGcbBCtGqFZ1YIquRas3E1gpBJZljVPES2NSrGhutonjiGLBxit5SNMmERpSyrHN8ApdySGHssMdllWi/aJrrhxNMxfpV04u63Xde5jUHvf7guGngeNKuj/oEnb69Gl+6qd+ip/6qZ/6VDIHf+7nfo5f+7Vf43vf+95dDbB8SFjucUxcrm5HKH1Uu9/7HZOW85tvvkmn07krI0+fJT5ph2Vra4s333zzrjij3a64HuC3P/xt/uj6H1G1qgRpMFfQ7ugOmtRoj/YnyM92TYQQnCycJMkSKnaFXtib6ltmUbJKBEnIKO7v+3ucRrTTvLC3Cw6Pl0vEaYKKFMPhkG67S5A2cZy881L28lG19oFU+1nMOoEZRYPmAfcxTUga7hpBEuQ2y0JDABmgVEqiUlzNoz1qo0mdLNufwZIn2yt6wf5j0aSGrds4mkOSpax5tWnxmmYZlrTY7u+QZhn+OMF+YlvcGuTHY+kmZadMHKXs9JqAwjZs1t11+qMB/VGfjeJJWr0OZatEMApx9CIylQx6I2RqIjVBPFIUCw5JnLLb6lOpeAx8n4Iq5EGJAtYaRZJY7SMrQggG/Yh63aPbHeD7Yx2NY9EfHv5cgyghTRN2d5vUSw6OXaS1O2RtQQK4bkg6C4hFoWAtJA66LuksiUVXSy5329SXajcKBYtwSX6KZejA4tc7pj43MDJ3TBaUCy67XZ98VHAyXrZnm+w5eYE+T/sygR8mS7/TC7NpxjANbSXZUCtokXOEDswKCQymYYCAeq1OphRRFNJtjwiCNppUlCsFRKWIyDQyoS10cD4YsJmf070n26a+knxZK7puwNwcGCkFT95HgZHAkRexHuJ4CMtgMKBery98/Cifw9raGpqmsbW1v0u/tbW1UvP6z//5P+fnfu7n+N3f/V2++MUvHm2nPyE+l4TlfvgiZVnGe++9x/Xr12/b5erz0mGZhGOORiPOnj07Xll7cHC7LmFKKS5fvszly5fvCXF9nMZ86+K3eO3Wa/v+bmgGJbOUB0ZGQwzNIEgDRtHiQk4KSc2p7eu+IHL7XsdwyLKMftSnZJZoj9pLuy+TcbIpcZKgFSXVQpU0SRCxJBsp2r02whRkusJ2rEPp9GZs8tHWFSqVylQUvO9xzcLWrWl35iDy7kiBW/1b+/4uhUQKSdmqMIpHpCrF1AwUikxlpFmGZ3gEccgwaB56bdWucau7/4fHMRxEmhPgRqFOlMZkWUZvMCCIQzSpUffqDIY+tzpblJwiRaNCu9+l5tSIooSCUSQMU8JRhKu7ZFJBomHo0O72KJolqlWLdrdPtVikue2jG5JiyWY0Chl09n8m9XoJFOzu7hFYXZe054xwFcsOrc6AeNSjZJtowiGOUqQUdBeQi0rFY7c9fxzMdS0GCwriSmlS9B+GFILejC2yLgWWoWHoGpoQ2JZOlGaoTKGyjDTNSKf/rdCSFDNJx/qTcUbMeMVeSIEKQgpSIKREytzuV0qZC+yFwBCCWtEhUxlRogjjhHSmG7T3ndzrqEyF+yhc22QY+jPal/3fY8fS6Q6WazEOFvAHUXQsmv0lITCAv6LL4zrmShH7KkJT8kw6489KCoFt2diWTblUJkkSgjCgs9tlp9WnULCpVEtotk2ENj0fh/UrOWZvewVrNWFZ5VSmSTGXQD/RKGEegezcS3hoaXx0HFeH5fHHH7+jbZimyVe+8hW++93v8pf/8l8G8s/xu9/9Lj/90z+98HX/7J/9M/7xP/7H/M7v/M5Kncxx4HNJWO51RFHEG2+8QRAEnD179rZDgSYdlju1ubuX0W63OXfuHABf+tKXHjiyArfXYUnTlLfeeot2u70vk+e4cLt6lV7Y45fP/zIfdz4+9FicxtNOxJqzRpAGlMwSylB0o+4h1zBDM3B193BeiYJBNJiK7tfddfx4RNWpoVAMoyFBsr/4qjt1OmGXdI7oXQjQDZ1aqZ47dEUQBAFREBIOQlzTpeB5WJZJNIr5uPUx9bU6lnn42iuYXm7Ju8Ae2dEdJDqdUefQY5nKqI7du+YR1ppTozvqHhLx7gU/tqbHU7SKeRcmzejHA/x4RD8cUHGqjIIA27Bp2AWSJKXd72FoOhuldQaDAMvScaRDFCUYWIRRSjRK8UyXNFYkicJA0uy0aZRrkAl22h2kEIwGCa5rIjRFuzugXqgwUHuakGLJJo4Suge6DZVKkd3mYe2IJhXD9i5SmBRLhWkuSbVWoLmAXCSTbk6WIra2IAxR1SqUK0vHgNSBa1sK8BwTS9cwTZ1onEgeBDFxnDJ7JVWr3lzCNd4ySZoRLyj4dV3S7IwWLlLomiSddk1mX6dhWwaGqaNlGY2iTUbuODWKYpJ0b5FOSIkmJVnefiGXvagpeXEtg07fP5T7MkGeXr98HGxFpiXOCltmOHyMB2GZq7s4iyyCIc+7KOgepqGjWUWiMKTVGhIELQQZ9VoJt+jhFl06o1mHsPyf2fvfqiWloziVFR2LzhyTh2dP3V/jYPCQsNwOjiNg0/f9uQtmt4uf+Zmf4W/8jb/BV7/6VV555RV+8Rd/keFwOHUN+8mf/EkeeeQR/uk//acA/PzP/zw/+7M/y7//9/+eJ554gs3NXF9ZKBTumjPrQ8Jyj6Hb7XLu3DnK5TJnz549tKp7FEy+AGmafqLX3+u4du0a7777Ls899xxvv/32Z707dw1HJSxhGPL6668D3JVO0+2SlZv9m3zz9W8uHaUCWPfW2R7mWooJ6RBCULJKWJpFnMWkWUqiklyYvwBSSGp2bWZbe+NTtm7jGh6akOhSZ2u4PQ12nIeGuz7uiCgMQ8cwClAskGUZYRCy6++it3W6SQ/XdrGFTckqYepm7s6VJeho9MI+UbZA0G2WiIZ9RoNePlniuHli++S8uOtsD+Z3ZRpug53h7qEqqWB6uHq+n2uFGlEaMwyH6FJnd9CeBnNCLv4XSuKZLt1RD1OaROPMlTAKSaIMTUp0ZdEfDrA1LxcaxxJT10g3d+hfuEhtp8umbuE8cQZZqrHV6gBQL1eIw4xhMCKOUgqOTbO5Z57Q2CiSZimt7cMr+QcLWccxIIu49M5HFAqlQ4s3i8azDEOj2xtBq4n2R9+Hfi+vNHUd58yjDL5+Ns9OOQBNE6g0o1F2UUnGKIjw/ZD+KKYPrK0V2W3PN4KQQtBf4oxVLDpzx7kmKBedheQLoFRw9mk2JkiSlEGSUshM2nOMAkxLx3EsDFNDE1ArOgRxwihK8k7QjNtYOtalQV5MHeyiljzrjt2/PGs1YVnpIOaYhEs6sgDBivBMzzEZjuK8+zLWsKmyyrsvQUint4ujZyRoVGslTNclnBK5vXOySkxfcg26K0M251/IT5+sLH3dvYiHhOXoOI68muFweCwE4a/+1b/Kzs4OP/uzP8vm5iZf/vKX+c53vjMV4l+9enXfvv5v/9v/RhRF/JW/8lf2becf/IN/wD/8h//wjvdnHh68avYIuFe7Djdu3ODtt9/mqaee4syZM594Px9UwpJlGe+++y63bt3ih3/4h6nX61y6dOmBHX87iuj+XhPXX9i+wP9+4X+fWhMrpRhEuVh+AiklNWuPYMxCKTXtSlTsCmEa4houRaNImIb0o/4+F628++LNSYvPESTBWKi/xq3BLaTQKNtlDGmggCAeMYyHUyeweW5hk332HA81UgzkkLX6GmEUstne5Pr2NUzTxHYcTlceoZl0cwG0ZmJpFrqmj7UrAg0ddesm1uYtCmFAhiKzLbKTJ1HVCkWjRD/sUzC9sS5BG4+ICRzNIcpiGt7aOFQzI0ojDGHghwGD0f59b3gNdnotQGFoBmW7hClNNjs703O47tRRlz8muPExprBwNx5lp1KkUdqgNxzgSBcNDZVKgijA2u7Q+W/fY2MQsKnZaGmPytYOm9tdePllDENHIOkO+9NVclu3GagBuqlRqtjstDpUC4fn8ssVl243v050XVKtuFy5coMsCymVKzi2s+/5uqkt1KiUqx672x20P/zvMOiDbeeJ9HFM6cP3GHol1Je+iKFrFB0TTUA4itENSWtncWjoMqF+qWjTWVLM29Z8/ckEq3JJ5IKidgLHMeaOFUVhQhQmOWHa2SPzmi5xXRvL1hFSEqYpozCm2+1i2dbc0Eq54vt/FO3JqinXowjhV1kDaJpksKIT5FoGwwNkQyAwdAOjYFAoFPBsnd1On1ZzSHCziVIZBcfAURFIG8PQGS51feNII11BfHgbuiY5s35/JdzD8Yw5fV5wXCNhx9XR+Omf/umFI2Df+9739v3/lStXjuU9bwcPTjV7H2O2EP/yl79Mo9G4o+1NCssHqZCPoohz586RJAlnz56dtkAfZIOBVR2Wzc1NLly4cMcEdx4+ibj+u1e+y2+89xvTImc32SMRRauIpVk5+VEZu6P5BGOC2RyWaCYhXhMaFbuCKU2yLCNIArpBZ+F2dGlQMAvsjolIptJDgYyWblO2yiilqDtrRGnIMB7uJ0bKYHtrB6UrGo0GgnxVtlwqk6YJo1GAoxze/vgdNE2bWiZbVjg9bw23wdbmh3DtY9ANKI07Yf4Q4/oVXOdlbgWHbYs1ISnbFW70bh16rObU6Pr9fR2UyXuFUUSjUCdMQgbBEKEkN9u5tqXqVbAzg60/+C7arVtsRBptBOLDq6w98iTpKzU8vUASpRhSp9nt4GgFuufOc2roc73UwBCwrklutkPkxx+TPv4YjSfPcHNz7/MoODa7u0NKFYc4i2m1exQ8h3brcKdA03QgpF73GPR93n//Y0a+z1NPP4HvH76XVaoeu6353Y4kyfJ8lOFgj6wAUtfRMsXGexcZfvmL9AcBrRmS0VhSIBY8i8GSlX9jRVZGGC2/Hy9zD4PVmo1Vt3vb1Ji1bkiTjH7Ppz/mZ6YBV67dol4rc/LUBlLXiJKUQRgRJ/mI8SiIpvekeRo21zEYzSm+Z9FfEtY52cYqwuKv6MCU3NWdoDRbzpwMXTIMExzbwbEdFLlt8u7uLtH1XeIoplF1sTwPy3MJkczb5LwwyH3vo8m5XZozG2X0Qw5l9z4edliOjuMgLL7v37fh2LeLh4TlM0YYhpw/f/5QIX6neJCE95MuQrlc5itf+cq+rtFxpcHfi1iUpzMrrv/iF794yDv9TjEbBgmrxfVplvLtd77N968vDpjqh32UqUizlDANqdgVDGnsF7+PscwCOFUpnaBDxa4wjHzSLKVslTF1iySN6UcDkrFzmGM4SLQDifb7YesOutQPdXsEkoJRwNItkiDh1tYtioUihmccmq83dJP19Q2afpNThVMEQUgQjGi3W2SZwrFtTpVPsdndRu/38yXmGetHx6uitTp0mjehvrZv26Zm5pbGw8PHME28V/n3vWgWsDQTlKA16BBnCdBHE5KKXaUz7LNWrBNEAZoy2HznAuvXt9GKdZqupCoMlB/DlauYJ56kXV+jaBXpDPoU7RK93Q6NTotbZhFHgK0pWpFA2TZGt0MjDbi11dl/fg0bpxrTfPcSKoqgXMYuP8WA/aNLlmWQJCnlksXudodWu00cx5x+9BH80fz7WJzM/7tpabkQfzQCBZZQlFREminCDG5lNsrPSFv9fZ8DsLQD4jjmUsKyTEhuGNrSIErXNZcW4ZZpMFwyViRg6fYB4iWFcxiFDPt9ioUCpuXSas18PkpRcEy8gk02DqccjA4Tl4nYfxk853BX4yDUMiKhwAl8Rt0YSqX96vcZrC701UotTtEzaXX3zqlATH971tbWUJnCNeHWbpfwZhM11r6UKkUwLIJU5WOCK4ho0TFpDQ5/ds/ch+Ng8JCw3A7ulLAopY61w3Kv43NJWO6VkbBOp8O5c+eo1Wq89NJLxzq+9aAQlkkXYZFF74MckimlJI73/7h/muJ6IcTKH55hNOTbb3+bt3beWvq8qlOlH/anCe+dma6IoRkUzTwrRCDYGh4OQJzFmrNGc9SaptLPBk+CwDU8KlaZRKX40fwVeID/P3t/FivJnW73ob9/zENG5LxrJFlkc2p2n55O92mypSNd2xpuy7qwnyT4Pt5nCRL0JD0I0Jsg2A+GLQFq2ZJgCz6wfGBbli0cHxxbks88dFeR7OY8VrHGnfMQ8/C/D5GZe+feORTJTbKKrAU0mrUzMzIjMjLiW//vW2t5Zp00T1b6meOQlMyzOWmY8uG969QbdTRHQyKxdRtLM1FFNeqlKSrzLMTWbJIiwbYtbNuqBLpFiZpp3OjfJMtSaqMRVpah5TmapuKrDkmRE4kcUa6nhri6SynXLY0NrXIeq+k1sjyn5TSJ0ogoj5mnIWgK4/Cog1QFcXZI8oSizBnOxzTMBpRQG04QpUIuDHRZoBYqY03SyhQGH36Ie/4KcZJSt32m0wjDNohyHVeWpKpEL1VGBTiiRNVK8lJdG/dxbRPu3Gb4734bEQQIKTFVlfFrH8Avfx8W1ztNU+h0XG7fHlMUJYN+Hwl0u13aLZ/D3unvx7J1JltW0H3PYR4l+Bc6FEXCJBT0NBUQdLWCIM/B8+GE1sv3LKY7istdTk+2pRMEu8fFtgVYQqWn2EVYvJpJMtreufA8i+mOjoKiCGYbimKAKI4YDkdceewcmdxwDxKCKM5wTJ3hQmOjAn7NRDc0SmCeZCRZwTSIF6GVm++ztrGHsEi2F/iHh2h/+Ic0erfJNAd8j+JXfuVUcCew12Gs5pg77aeh0sad+njLETkEQoFCqDQbTSSSLMtJkpiPbhySpRmOa3Ku00C1bRIUii2zcNvG7B4Rli83lsZID9JI2IOOryRheRCwFI4/88wzPPHEE2dOoh52wiKl5N133+X69es7bZ2/SiNhcRxz7do1hBAPhLj+XnCPn1z7SdUNEazE8mmRMk2mqzyRrtOlH/W3Ov9kRUaYheiqziyZYWomnuEhkUR5RJgeFXqV6Hx7ACNIHN3mbnBvJa7XFB1XdzFUg0IWhFmIa7iMo+3hk1KCFqt8eNIJTEKURURZhKs7SFjlnCyhKzq6auBoNgKFUpZ0Wh2KoiC5fh35wfsEkxRVaCRGhKFreNgI/zyy1kLI6jPnRUFe5hiKTlpmpHlCXmRoeo3b42OjY1GIPZyizRImhop2cI56+wKaqjIPI+4snqspOgdul3E4I0xCLmEQl4JZmdGWFv08pSkt5gjqqk22+BxRmJGXOXXbp3ziceZvvomdm/QyjaYG4XSG7rj0rSNdiu/bmCUM/91vQxCA44Ci4KcZvRs3EG4N+c1v0um6zKOQwSAgy3IG/T6aptFqtRCKYL6FBHi+TXxiHEzXFequhZAl8Swm1j2U1nnE4T0oNVBUsjQGoVM+//yp1XnLNrYSFk1Tt9onQzUuFu3SMuz5LW0rZlfY87BlaGxX3lSBlJv0NUEYMB6NabVboBiwg5SJYxobCcznCZCsxkc7dRupKdQMjSjPCeJ8FVi5vJbsG8NynS2EZjZD+63/C/JsmZgJ0ynqv/135D/+MXSOcig0Vd07XmfvycsBiDeNpR1zCKvZR1k+AoGh6xi6jlfzqnHVJCaNYm5/dIgAWi0Pv+EjDJPoWLdrk37F0FSudB8+/QqcjfPVVwHL+uwRYbl/fGUJixDic0kAPYmyLHn99de5d+/eSjj+WeBh7jzkec4rr7xCEAS8+OKLO3+MX+aRsOOi+8lkwtWrV2m323zzm9888xWsj0tW3hq8xT995Z8SZYsiTrI22qUrOr7pY6kWo3SzPe8SnumRFimzpOokJHlCkh+Na1iahWd4GIq5c7wL1p3HlsjLjEkyXv2763SZxFM800NX9CpU7rhuRQrKac6t4B7dbhdd00+9T91qEKYh2QYnsKzMsFSLeRKsQi9XaFmIwOPcHO6IhFk8pxiGpLaDnNzFzKdcal6kn4zWNDRwZDCwDH4EYDqh/tq7WJMIVBWjLJjcvk32TZj7DZIswdRNGnadIIi5PbqHqZucq53jjn+PJuAmgkSXtLHIkxQrFxTnLhDEMZ5eYxJNcG0HUQqGTz2F6PVwD6d0mTOQgtK2sL7zw1XHotv1CKKI+S8+RBwjKwowVWxQI2o3P0D7M9+lP57QrHsc3p7Q7/exbJtGo4EQohLhjzeP7SzJgRDQ9G0oJaPBnGlWkJayqqiFoPzTfxrl2lXEzVsYRcbE9Sm//gLy6a+d2uYu3UTd3+3glRe77iWS+Y5RMyHEzu4I7B/32qeP0fXTt/rZfMZsOqPT6dDt1JnuS6/fMvK2HAfTNY3DxSiZlBJTV6nVLBRdJc4LgjhjGsQ77fa3dWCUt96CPAdFZS7MymtaqlCWqG+8QfGrf3r1XN81GE53H698zz3D0FXmGz5HtQhzlFmzjRgpioJjO3iuwXnNIcsy4jhmfP1e1Wl1LdqtOpbnbOwGPXWuvteE4UHFow7L/WF5b/80hKUsy0calkf4bLBcIZdS8qMf/Qjbtve/6BPiYe2wBEHA1atXsSyLl156CV0/XSwex8NMzPZhGRz5eYjrP44T2O9+9Lv8+hu/fqqgXtuukJSU3JrfAio9iau7lQtYOiUrqmKgbbcZx9s7HVAVCUme0EuqzoqhmtSMGqpQSIp0ZWPcsjc7jy0hELSdzirIMT1RgAkENbXGqDcGAV9/4nlySqIsXI2yAbSdDqNouHX/m1aLWTxbe80Kuk77a9+md/s9tKlEM03kpUtkNY84z7Fyi9ffexNN11ZWq4Zh4OoOlAqTaIqpGbimg4qC8cq7DOYB0069qt6lpDUKmb/+Js6f+rO4pkOaZkzn1T50/Q7kguF0QvfZb5DemWJ+dBO1YDHSJcifeIqBV+OcXedOf4C6cCi7NxiCZdH+f//HiOsfce/uIeg6zWeeYZjqaJqCX7fpDcd06k2iZGECuyhe2oqgX8KBXdIvE7LhFHSdOEjo9Xt4NY+a563Ov4ooni6ia55FWZR0mw7TUcDw8Igo1+suveP6C8uifOlHEMfUajq9XNloZ2zb+k5SsUuaoSiC6Y6wRa9mMduxml/3LMZbxrUAPNfaqbdQVYXpjtcDxOlR8S2B6WRCGIZ0uh0M3cA0NNix/6ah7dWeFOUREalMXyTjcbiyTW7UTIQiUEyDpCgJ4hzE+ujYtg6MGA5BStwyI1AX9wRR7Y0YroenqnuKZSHY+X0AeI7BYHL6O60yWHZ/1qPPIZiF6aL7YmDoBr5Xaf6SOOGwP8UYjphHOe32kfYlykuevdjYue0HGWdh1ftVwPI4fZr7eRhWv69HhOURzhTLoMNut8sLL7zwmbdMH0bC0uv1eOWVV7h8+TLPPvvsfV30vswjYUIIZrMZ/X5/51jcJ8VJcf2+i2cpS/712/+aV3uv4uous3S28XmO7iAQjKKjTsByjAqARaChb/jVOJVg68iLZ3hkRbbWvUmLhOExpyFbs/FMj1JK2k6bIA1PBUZqio5n1LbaHwOoUuXm7ZuUqqTZajI61pUxVANbt3D0GnmR0bJbSFmSlTlZkZEWKYUs6NhdBuFgY0dJFSp1s0k/HMK583BwwKJiwwAuOB368wEX3YuUeUGe5KSThFKUKJaCamqoqkqSpyR5SqcwuTe6R1FzVlXUOeGAa6LOx4wOb+IdXEIWAte0mURTyrQ6rwxNpyx1ih98H3H5CvMbd0CCbF9g3mrTaXS506vGs9q1Bvd6VRiloesUisao1YFWZRCQGR6eKchlxnA8xTJNhoMA6vWKrOQ5aBpCgmvmHE4yZKcDuk5ZZLz74T2azQaOc5SxoqkK4xOaDyGg2bSxTJ3bt8Yck+ocnRtbhPhYFnm9Blt0JLWaRbQlX0XAWrr9SdR9m9GG4vborY2dBfIpd7HxBOXdd2E2A9/D+v63mGFsf3/PYrhDH6Np6spMQCIZjUakSUq3213pJrcZGCxRcwySXboQuVnEftywwzQMeqP5KrRS1VR830LVNaK8JEyyrcRMui5CiHXCUr0D8kQ2zz79iueYe7tJW6+DUlb6FcF9iPbNjWN4qqLiOA6O49CuW9zuTYiihNH4LnmW47om9ne6zGYzarXaA6O5vV886rDcH84qgwV4RFi+7Pi8RsKklNy4cYO3336b5557jscee+xzuQA9TIW8lJIPP/yQd999lxdeeIFLG0SU2/Bl7bAURcGtW7eI45iXXnoJz/POdPvLEbDlb2DfhTPOY/75q/+c13tHQZ1LrQlU42BpkVI364R5uOqgbIKCgqma3JpV3ZdVWKRmkhc5s7TqTrTsFtN4urlTsYCru0g41VkxNQt3ERgppSQvy51BlkZpcPPuLSzHou57p5K+8zJDVzzuzG5v3oCEc+55JvGkel+lyk8RKCgCFKGhIMiLgs4iR4WVykeiohKmEYamkxYZqqKhGhrnDy7QG/UZR1PiaUSe5ximyaXGJe5N+xhS0hAmhrBQpcLdPEJSIChoGz6KYjPMxkRpwrnaOYIoIEpTOk6be6MB7VqLXl3iv/gE4TxDAue9OrfvDHEsC891uLdw/vJqNrZhc3h4xBTa9QYKKoPxZHW98WyX3mwKnS7y3Dn027fomoI70oI0BU1DPvMMs9kMpSxpt9tYJ9y6Go0a/UXYpKarNJsW83nIcDTFNtafu/rOTX2rzkRVlSpIcguyHSNdvm8z2VHgantyNtI9Nr/HiYC4eRPld36nInmyGj+Sb72G+A/+PPLixY2v3/fbrS8E/1JKBsMBRVHQPeiiKuri9WInIYN93l/7u0BQ6XSEEKiL+58sJeNRuLoGNXwLRa06MGFWEKX56l5ZPvMsynvvURblUdWyDLh89rnVexjafv2Kqe9fLNxmgCArEQs1x2C2w2QB7sepDOK0wDRMTMPEx6coC0SZ42oFV69eRVVV2u027XabVqv1UOSqPSIs94ezymDRdf3M9awPKh78s/8hRlEUvPbaawwGA77//e/TbDY/t/d+WDosx4/Rr/zKr1Cvnw6U24Uvo4YljmOuXr1Knud4nveZkZX7HQEbRAN+cvUn3Jmv54CsaU0EXKxdJJdVkTEtpxtHpnRFxzXWgx5XYZHLTQlRbass8E2faTJbWRUfR8NqEmQBWXG6cEjymCSP8c06cR6TFimmauLoLpqiImVJlCdEeYiWaisnMNdxT21LU7RFlsvg1GMACipNu8m9+WZ3M1evUZbxUYfpGEzNxFBMhhuyZJa2xZquU9fr1P06eZ7jC4/pbE4YleRCIR3d5aBxmUOlAAnNaYzrH3BLVSmnA1zDxVZs7gzv4dkujupwOB5yoX7ArcM+55ptoiDD0HWEEBz2JjR8jziLmU4SkJJ2yycvCg6PhSqqi+KpNzwigoauMxwsRrIE1P/CnyW5+jPi969DUiKbTcrnnmVUc0mCORc6l5DydHGT5SWOq+M6OqPxnF6vWqn2fYfpaHNh7DdseoPNXZJm092aUK9pyk5BvWHqO8eldtkNq5qykwwYhno0zlWWKH/0x5DlYBggQJEl0zRD+aM/ovhP/pPVeN1x7EuNF0qlhRsMqvO32+muFZT7Ai9hf0aMZWo7CYvY4FJ2vPsipcQ0dO4N5rAYIXNsHce1QFWYXzhH/sMXmf/xH0BZneeoKuV3vo18/LHVNmvOfv3KLrc3ANNQtxOWxUiYqWvM2H1Mkj1E1TTUU2N2qqLyzacv8O1vf4uyLJlMJgwGAz744ANee+016vX6isC4i67Tg4ayLB8KYvVF46wIi+M4D+R58Fng0Vn1GSGKIq5du4aiKLz00kunVhA/azwMhOWk69UnOUYPUyfpfrAU13c6HVqtFjdu3DjT7R/vrNwPWflg/AH/5No/2Wj9exxdp8vt+VH3YRnwqCs6SZ4wTaeLbohcszQ+CYGgY3W4vdbJENSMGrZmUyIJswBXry2CJbd/9227s6aPSYqEpDgqqqQEPda4O77H05e+huvUVmNeURaRFukiy0XZ+pl11cRRbQZbyEzDahAkIVlxunipGTWKomAWnx6t6zpderMBjuFg6yaKUKvVV6kwmI/QPJ2aW6fgGRq/eI/h7Y9whU4qJNg+Ny6ewzVtaqZDkhSMghkHfocoTEERdGpNBuMpjVqNPJUYusFoPsERNZp1j/54TKfWoj+b0u3U6Y1G1M3GKqbc9xwc2+LunfXjUnc9esEUXdeoNy36wwnuD75P/2u/BFmGNAwGwyFFkvLs008xHW0gok0HRZFMZhFhuD7qZGoGm3QtsDtnZNcVolF36O8Q1O9Kt3cdY+fjDW+3WN+v2fTHFZESvR6EIejaqqXRIGeo6zAPEIMB8kSocJXPsruzMZtH9Pq9arW+1T71m9f3dBwcS98b1Jjv0XN4jrlTZ7PUvCz1J1JK4jgnimarf7dfeB7l+a+hX7/BLCvJL16EEzrQfSv7Qoi942A12yBJtxHYaiSs2EN6NE3Z60K27X2eudwCqn1pNps0m02efvpp4jhmMBisCIyu6yvy0mw2HxiSUBQFhrF9hPERKpwFYZnP57ju6UW2LysejDP8C8BnyUgHgwEvv/wy58+f5+tf//oX0h590AnLaDTi5ZdfptPp8I1vfOMTH6Mv00jYnTt3+MUvfsHTTz/NlStXODw8PLOxxU8irv+T23/Cv3r7X2FrNrqqM42np8TxqlCpW/VTVsPLgMclOnaldxBCIBAE2enVbk3V8HSPXnjStlgyT+cr0tR1D5gmExpWA01opGXKPJ1THBsd6zoHC3H95uMnJchZyc35LdqdNqGMCIP14qFpNyiKyqLT1h0UIShldfwKuRinkwrTeLOhbNvuMArHGztNDatBnMUIROVWpuqoi9wHBZUgCVEVhTANCdPK8tlRXSbHdEGWZtF55nuEzUtw432msymeXuemZVNgML5zG99q0PAbWLpJEudYhkWa5uRFdT4YikVZSPqTEV2vgyxkRU5cj+kspN5w6Y3GtP0mg0UeSrdTZzybkZwIdNQ0lfEooN2uMYtC+sNqdMwxbAI1pxCCQb+PEIJut4uKDhwVwo2WDWWKeeM9Dq8fIkwTefly5TJGde6c1LUsYVo64y0jX4oqmO4YB5M73Jgc2yDcQUhs29gpRhfqnvvM8YdXv/WjP6oCkAuR14aFGc81SdLt76+p8OGN21imSaPZODXqCJDssmNmcQx2EBYh2JrxsoR5UqdzchuKWAvtPNl9kYCqQG+cIpvnUYXAc20MWyfOJcHC4S3a4fQGlYPYZN/4247rYuVwBtN9+hXbYLSna7XtbZaE5SQsy+LSpUtcunSJsiwZj8cMBgPee+89oiii0WisCMwXuer+aCTs/nBWHZavin4FvsKE5bPAcS3G888/z2OPPbb/RZ8RHmTCcvPmTd544w2effZZHn/88U91Yf0yjIRty5w5q337uOJ6KSX/5t1/w2++/5trf1eEQtNuogmtGrMqqzGrYTTc+f4dp7PohhyRB1Mz8XQPRCXILylRUNeE+iehKCoNs0FvoVc5bn0MAnfRhTFVk1k6RxUqhTxdjAmpEA4Dgny+Nst/HG27xTiebHUvq5t1oixZjaNpioYi1IV2RVA36sySANeoVr+kLJFIClniGz6DYEhRLrddFTaaqlPTaozD9eNp6zZKqTKJptRMB1t3kLIkTQpuj+5UKX5PXuGyf5E4SXGCMRoqWq4znk145/13aVpNUBUsy6Fb63I4HdKuNYnihFkY0vYaxEnCLAhRFAVdGKRawXg6q3ItpimaruL7Nr3xiG69Re9wnai1/TpZUTAYHWlcNE1lNAzI85x+v49u6LSaLVzHYjSqyEezZVOIgvHhPZTf+V3c3hBFqoCE11+n/OEPkRcu0GzUGPY3ExbPt0mGm0e+Gg2H4XgLmVHETm2L45qEO0Tc+1bad42LAWtFuux0wDIhilcjYbFUquwR20G2Oxu2sH1BI80y5rMJjm3j1+sbdSiaruztOJR7uie+azHZQ1j2ifp9x2KyxWmtWuQAhLoqhKWUTCYhTKojYBoa9aaDFIJUU7Z224w9eiPY3VEDcC2dYqeN9f3pVzYRXdfWudjZX4AqikKr1aLVavHMM88QhiHD4ZDBYMD777+PYRhr3ZfPMxflEWG5P5wFYQnD8IEdDfws8IiwnBHyPF8lkP/gBz+g0Wh8oZ9HVVXSdPeF9/NGWZa8+eab3Llz58wyaFRVPZUG/zChKApeffVVptMpP/zhD9f0KmdBWD6uuD4rMv7FL/4F1+5eO/VYKcsVofBMD1M1qyR1p808nZ8gEBW67uagx+P6l7pZpyxLDNXAcWziPD7lQGZoJpZqMYw2j16xsD7WFf2YPkbg6A6WaqMpCrksiOOY23dvU2qSTre7ccW563R3dmfadvtU56QyBsgRhaBtd7g9vbvxtQdul8PZ6eNhaSYaxlpKPYBvetiqSyELClkyT0KKQiKkSpiEaIpG022glCq3h5WGxjNrGMJiMBvh1X0eO3icj+7dQRQw6U25eeMu55ptbs/uoek63WaL2TQmXfyODuptDgejVaHacOukSU5WSIaTKZqqMh6tE4d222M6C05ldTQ9n1s3B/T7fRzHod5oIADXtrH0kpyM0awiPsqrr9IcHDI265X1sJQQhih/8icUP/4xVZLLZuzSJYgd53y9bq+thBu6iqWrqKqCIgSGIuh6NrIsKUtJWZSURUlelgghiCchWl5W2obj3VBFVGGSUYotBKqmoigCRVFQNYFQFHRdIZcgbYNSSvJCkv/gl8l+9/cp0xSTkplQQFEpf/l7VbvkOKRcIzzHkSQJg8GAxy4fUMjt1vB112Kwg7AhJfM93QRjz0hZJerfTWgMY3+BOwviNdvk6uNV3Zc0KyiTnP44BCnxfBvbMcmBaZStmlfJHuJkmdrOAFApJYa+/7Pucyqzt7zP05dan6j4XLqOXb58maIoVt2Xt99+mzRNT3VfPks8Iiz3h7MI2Hw0EvYIHxthGHLt2jU0TeNHP/rRA+HY8KB1WNI05eWXXyZNU1566aUzu2g+zCNhS3G9qqq89NJLp+Z+Py1h+bgjYNN4yk9e/gk3Jrt1My27xTQ57d7lGi6O7lAUBUEe4OrunlT6alRsGI1WqfRL6KpBzaihKxplKYmKiGmywcd2gUprop3QmkjCLFwl0RuFwc17t7Bdm0utc5i6hSpUJCVZkZPkCZ6xaSTtCF3ngN58M5lRFQ3f8OkHp0mVoMpvOZydtlX2TI88L0FA22miKCp5maMKlfF8yrQM1p6bJjmWodOptZlGU4pc0pv1cU0Hz3KZzEJmyYiO1yJPJb3JiMfPXSQKMgIz5gnnMQ7vjZjMpjiazkeTmEKKquA5f45794arAs82DBQEsyhYkd5Wrc7hortimjquVz1nU7Bg73BMr9/D9328WkXGm02XtEiZzI51RNIUcesWmmYc5aQIUWkUohDt8JCRvvmaYVr61i6JEDA9Iag3TQ3b1NBVBdMyIC9Jk4w4ykijdCWlVlWFksrNahNarRrDbfqUAnRNY7zD7rjb9egNTmjDDi4jXvpVrPfepjkbknY6iO99F/nYYxSlJMkL4iSjKGWV77KBsERRxHA4otGoo+o2xY7iWdnTCbgf9699InbftRjvMDWA3fqj6nOYG/f1qPsiUBQVVVEopWQ+i5nPYiRVt6Net9EMjSjbfa9wbZ14D2Ep5O7CSdeUvSYFjqVvJCzbxsE+Do47iy27L4NBtWjw7rvvYlnW6vFGo3Hm3ZdHSff3h7OyNX5EWL4COKsWWq/X49VXX+XixYs899xzD8zKwoNEWGazGVevXsX3fb73ve+dqTjwYRXdj8fjtVyeTefNp7He/rhOYDenN/nJtZ8QZAFtp41AMEtnp7omXbdbFfQbPlaQBgRpgKVZmKpZBRU6XbIyY5pOT31PB87pVPolsiJlFA1pWk1m6ZxCFtQMD1uzkECcRcyzqthbOoFFxXZjACPTuX7vOv7CCSzIQoLsqNhUFRXf9OmHfSzNxlQNNEVFEUc3XkMxmKchNaNGXuYLHUtJURYYmokhDEbhePV8RQgUoaItRtmiLKHlNFGEutLD6IrBNJxVDmIS5lRFfNtpM5iNj75/CS2nhS50cmXOJJygKRqe4ZPlOW2vSZQmTGaV3sV0DYoUsiynWfNIk8oit+bYyFKj5nl0ux2UUuPmrXtoZclsNuLN0QyJgmXb+F6NmuNyODga09M1jeFi9KrT8ZgEc0bTBEucJhOaIrh++y6tZgvbtmk0HaRSIBTJpH9ifKso0MqC8clugBCV85kGvS2FsV93Thf+i4PWafuUskRIyLOcIEhIpuFKtm85JvEWfUaj4TDYMmYGoGi7r/X5nuvvtiJdXrhAdOECSbtGf7lft9dHJS3HwDc0TEVBqIKskERJxnA0YTyZ0Gq1OOjU9wYkhlvS61fvs8f9S1HY2z3ZJ+q/nw6MZWpbu0lLREm2bpu80O0VpWQ0DPBrJrN5gmPruL5NKRSmUbY+8rbnciuAMCkwd6y3eY7JcFfXagfOgrAchxAC13VxXZfHH3+cPM8ZjUYMBgPefPNNsixbjZa12+0zCbN+FBx5fzgr0f0jDcsj7IWUkvfff5/333+fb3zjG1zc4pH/ReFB6TwsU9qffPJJvva1r535rOXDqGG5ffs2r732Gs888wxPPPHE1mPySfdt2VW5X7Ly6uGr/Pc//+9X5OS441XNqGFpFnmZowt9b8fEN33SIl0LeoRK/7J0Dctljoa2M5UeoON015zA5ulslWoPlW7kwD1HXuToikGSxwRZsEo3gWqqSItVPhzeoN1uYZqnnegs3UIX+mrcLc6jteBJVdHwdZ/efHMGSxVuWTBPgzWSWUqJrqroisnd2el9bTtt7k5OGyt03S696RBNUfEdD0UoKKj0J8PVGJqm6HTdDlGaMIvnOLqDjoFuagzmY1pmG0VVmEZzLNWu/juc0XZb5EWlp5EFjCZzHr90nvF8RsN9jFu3DonjmDJLGPZD7tzsYVkWlmWhaRoNx2dWxHh1k/5kXO1HvcHg8IgwSGA6nSKykk67Q7dbRzUEo0l1TjS9Ddbllk2j2aB/ZwyacaRIXuS25J1zG489QLJYNVdVBd8zUTVBnuXM5xGyzBkcbg449X1nr3MV0ymi3wfDQF64cNT9Aea7sln25L5oqnKq87MOuVPIHocpoZUwWpgQSAmz2ZQoCvjalct4fg3LqmyqgyjdmMpumfvT6/M91x+/Zm81O1hiZ+Ak4NesvdvI92hGLFM/Ze98UrhvmwbTICWKMsLFfqtCUG+6VfclL5jvOR41WyOKd5MrZYeJwxKb3sdzDM63P9viU9M0ut0u3W4XKSVBEDAYDDg8POSdd96pwiwX3Zd6vf6JiMejkbD7w1lqWL4qeERYPgHyPOfnP/85k8nkE2WHfB7QNO0LJSxLIfmHH37It771Lc6d215wfBo8KMTsfiCl5J133uHGjRt85zvfoXvCovQkPi5hWa0oLo7H/ZCV3/rgt/jf3/nft3ZyltoU13AZxsMj0X0RM0vWC8G23WacjI+JyY9QypJxPK7crjSXQTKkbtYxVJNc5sxOZK103YOVuH4bmlaL27M7HF8WVYRCTa9hqiZCwqA3ohf06Xa66PrpWX7P8MjKjFm2uai1NAtdGFvNABpWk3kSkC9ti48dxprhUpRys22xW9kWH3++oeq0nDZ5UVC3a0zjGcNwSMfp0ptWpgWGZtB0GkRxwp1xdXwcw8HTPHqzAWUpueBfYBbMmd/8iIv9OXGc0Pdc2k+/AKVgNJ+iqip5Cu2mT388wrFsRqM5lm1z+dI5eqMRlrDo9cdEUcRkPMG2LLQcElkQ5erq3EqPuYVJYDwaIWRJp30ev+kwGE8hqnbUtk1G4w1dCwHJt38Zer8NQVBZ+xYlSIn+zNOMhXlq9VtRBc2mjaoJ8DRms4jRaL2YnO1KoLf17YSlLAn+z/8b9d33oSgqAuU4lD/6EfLcOTzf2hkc6Pn2ikxsgu/b28fJgJpr7SREiqIwXeSNSAmTyZgojOh0OsRRQRxNaDZcpuMAAdQ8C9M2UFSVJC8I4oyaaxLv+IyV+9fursY+cbmqKXs7I/uCN+/HhazmGMQ7HMKEEGRFuWabLKWklJLRcF7lvlg6UkDLc5CKYBpnp8T1mrr/mrrPqcy2TpMrOPvuyj4IIajVatRqNZ544gnyPF8J91977TWKolh1Xtrt9n2Puj8iLPeHs7B/fjQS9hXBJ13pn8/nXLt2Dcuy+NGPfvTA+o1/kYV8nue8+uqrzGYzXnzxxTMPPjyOh2UkbElyp9MpL7744n21cT8OYfm44vq8zPnf3v7f+J0bv7Nz7Oxkdsrxwt3QDDzdW4xhqNwL7+0cqXB1t3L3WWxrsqZJEdQMD0e30RV9Zyq9EIK21dmoNSllySydMSvnROOIeTaj1WljaMZi2waqolY5NChEeZW3sgme7pEVObN8M5npOF0GwXDj8atbdcIkIitOFyYHzgFhEtF2mqiKSl4WxGmMozvcnayHT3adAwazES23gUQSZTHzMCJIQkzNpOnUGU1n3Av7mJpBw2lwZ3CIeOcdLr3xPv0sJxcCvxAU1w8Zfec7YFkceG2mQUh/XB1nU1gIM0PNEvp/8Acc3O3TzwT+xYt4V65gODamqnL95l3ixQqzZVmc73SZTILqXJWS4WCAosBzz36N3nC25hgGULMcotlpG2jbMhk3DhB/6k8h3n4bMRiAW6N86ilqv/I94kFFPBxXx/VM8jJjOgtRDDi8N974/dR9l8loO2GJdqymNz94m+nb71YdFduCUkIQoPzu71D85f8Plu3vJCzannExdc/jtm3sJCy+bzOeVinxo9GINE3pHnRX47aKOLJylrDSdCwhAL1m0nFNUBWSrGAepWs/X79mMdljzZvu0YTUXWsnMYNqbHEXPNfaOzK2DycDPE92XwBc26Q/mhNF1TmrKIK672DYBmFWECb5Yn+31w6GfjoM8iRcS9tMWB77fAnLSWiaxsHBAQcHB0gpmc/nDAYD7ty5w1tvvYXruivy4vv+1nvMIw3L/eGsbI33LXx+mfCVJSyfBIeHh7z66qs89thjPPPMMw/0KsIXVciHYcjVq1cxTXOjkPys8TCMhEVRxNWrV9F1/WMdE0VRViuB+2yIP84IWJAG/Dcv/ze8N3pvzao4zMK1fJSG1VgkyW++Aad5yrAY0rbb3AvuYWt2ZeMrqfQvx0IaG1aDIA03ptIv9oKsyIiF4DCpOgfGQnivCY2szJin1bhXTa/Rj06L15dQpcqgN6RUy5UTWFEWzJKjsaWuUxGeanxMYKgGpmaiCR1VUdAVnbKU5GqBa7iUUlKWBZLKLcozPCbxDEuzEAiURQGkCAVLsyiKkvpiJAeq8bCizNHQOZz3K71KUh1rVVXxdZ/+/MjOWBEK59zzpHmKqqoMwhG2ZkOhIpF0vRZxmjKazsiKnK7fQik07o0GuHFK853r3FVUykaNA0UniEvmh4eIDz/k4KU/zeFgSLH43bT9JqJUSEZTyt/9XYz+gECaCARiMKAz7hP8mT9NGOW0Wq3KlSlNieOYUX/CeBygGwayLGi1XRzPZzieI0/8LoXYnofiORWRkefPI8+fX3tMMzU6512iJCYIQ8JjDmVpsr1gNnZkf9iOsX3VXoL1+i+YCmDZlVNEZTkcJ4gbN0jP7y4u5zvIDOy3O873uFnpuoIsJYPhgKIoqlybY8WP7+0es5LAcBisZbBoqkKtbqGbOgWgGxrbbS4qUjYNdhMJdU8OzUkisQmWobE56egI+7o4vmsy2tJtW/5GFUWgqurqmitLyXgcIBcdwZpjkBUFDVtDVcVGa2PPNhhku8fbtq0PPXv507tmnhWEEHieh+d5XLlyhSzLVt2Xn//850gp17ovx+9pjzos94ez0rA89dRTZ/SJHnw8Iiz3gePjTd/85je5cOHCF/2R9uKLEN33+31eeeWVz9WA4EEfCRuPx1y9epWDg4Ot4vptWBW7O1asPq64/u78Lj+59pOV9e9xq2KoRqBqRg1TMelH/a1kBUBXdFzDXW0ryiOiY9oP13CxNRtDNRiFox1kpXK/yop8TfuSFulaxout25iKhaKodJ0ueVkQZsEaMdJLndt372A6JnW/vtm2+JTVsiQt0lWnpWN3uTu7t7Fzsuzu3JndO/UYVJkz92anTQk0VcdVXfonMmsMVcdSbUbhGMdwcAyHsihQpwF3hu+AWwNVwdUdHLVGoRQMg3FFwjLw7BrzOIBCWeWjpDd+Tj9KMZtNbEWhyBUCpUpFrx/eYzCersiKoetQCvqTMeKDD1CGQ5pek8NSxVHAlBn9O7do37zHvFmt5AnANAy6zSbTYYKm2eR5QJwXHI5GtIuSOK46MKZprr6BVt1n0N9sjDA/UbTWmzaGpZLmGXeHw42dO8s0mOwY+ZrPthextZpFFG8xaZAlUZRWivLjWAR76mm8U3/iOubOLA/b1neGUap7smEAwjCh1++tQjhPXlf0PUGNrmMQhOu/7bwoGQ+PyGDdt3AByzURqkKQZGvOVv59dE92WQTD/XVg0j3kzbWNvdkp2n0UhkuDgk2hlVJKVEXw0c0RmqZRLzR838a0TaK8IIir/RT3cXnfZITQ8Cw6jc/WbvjTQNd1zp07x7lz55BSMpvNGAwG3Lp1izfeeAPP81bkJc/zR4TlPnAWhCWKos/cpvpBwleWsNzvSFiWZbz66qsEQfCZjzedJT5PwiKl5Pr167zzzjt8/etf5/Lly5/L+8KDPRJ2v+L6bTgekrYJH1dc/+bgTf7ZK/+scqTagjiPqRk1bs1vgahE9KZmkhUZ02S6En07hgOSEzbC6wjSAFtzuD2txOqOXtkeA4RZsLIb3maTfBxLJ7Bxdvr9DNXA0RyKKOfu4T3Od86jWippvl4YVML/5nbjALmwLd7y+FJ8v8m2GBb5LfPTnR9Lt1ClxiQ6ImNCgGf6OJpNVuRYukWYhsS9u7Tfvslg3EORYLgejW98l3ldo7cwQ7A1G1f3CIuI/mxIx22TZyWWaTIJZugZNCSMhEQrVQ6LkrZakZY8OxrBadZ9dKFzOKiOqTg8xBSCYalwoMGQkhAVuywZfngTmuujBxo6tl0wnh0iNI1WpwNSInKVKJowGg0pS4llmViWje9uHoOsey6TYYxXt7AcjVkYMolmEEG3Vd86ZujVbOJg87ie59nMxtsJS5Ztv2bYrsXMb8FwAMdlTwttln+pS3/H6KPj7C6gXcfcWcj7ns1oRxGvqoL3P7yJpmm0mi3EBpF3siOZHqqRs5OE5Tg0VWE6j5ElBMfIpGnp1HwLoaloulqx1y3HwjDUvRku6h4NjCLEXh2Ncx+EZZe+BaruyXwDkVjaJktgOhlTliU1z0OWksk4RC40QLatU/NsFCm3dl+gsk3eNDL2eetXPg2EEPi+j+/7PPnkk6Rpuuq+vPLKK0gpee+99zg4OKDdbm/UDj7C2eWwPHIJewSgsuO9du0ajuPw0ksvPVQ/vM+LsBRFwWuvvcZgMPhCAjMfxJEwKSVvv/02H330Ed/97nfpdDYlVO/HkrCc3L9PIq7/vY9+j//7w/97JynQFG1l7Vu9EVXHY1EvqEKlaTexFIu4iHfqTFShUjcb9I8V/xVJORo5M1STA6dLUqa4Ro1ZOqPcINhv2x3G8Xhr6nySpxTzgo8GN2m3WxRaQZEXlcBft9EUDU3RUBdjb47uEOfJWvaLIhRaVmsrWTFVE0MxGUXjU4+tiNAGsuIZNVQMhAJOzUFKuerkJGnKNDzmepZk1F95h9F8TLvWAKGQT+aM/+iPiL/zbUS9QcdtEKclh5PqvTpumzKHUTBBQdB2O+Tnz9MzX6MRpYxVjY4m6BcpB1HKvSefRFNVmnWPNMs5HB/bH1WllUOow+GxUEy/ENw9sWLqOzZBPOP9Gx/RaDRWws9m3WfUD2k2mkiqBZ84jsnThDdefxfdMLAsqxLw6zqWpePXLQpyZuGck02RONp+vu4aB7MMgxmbC11NV5lMtxMC1zWJv/ECyu/9PsQxaFo1x5Pn0Goin3oKJttHofI9uST7rlbaDhvgLM8JghmGYdBoNNn0s9c0ldmeUa196fWeZ200DUjibEWG3JqJkZd4vo2iKQuXrXRFYDzHYrDJYOEY9hGJfaNtwKpbuA26ru7NkrGtzYQFqnHOwWCAY6pr3azV6BgQRxmykMRpXmlf6g6GdaR9Wb2P+fATlpMwDIPz589z/vx58jznt3/7t7Esixs3bpzqvnie95VJZd+Hs8pheURYHmFlx3vlyhWefvrph+5HtpzF/SznSeM45tq1KhH9pZdewrJOW8Z+1njQRsKWhgPz+fy+xfXbsImwnBTXHx9f2IRSlvwvb/0v/D/X/5/qD8e6Jmle2Q9LZOWGpeprI1gnUcgCVajcDe8ipURXdTzDQxUqUR4xT6sRG1M1MVVzRyo9CAR10+fm7ObR34RSfTbVrIqAPMLRHA53pM5TgpyX3Jrfo3vQRdeOFhWyImNSZLi6QwlE2XoBpisGpmZgqCa60CjKkq5bdREkEilByhJFqAgpyMqcht1YjTgpQoAQmMIkK3O6tU71m6MkL3JM1WQcTMmK9fdt2HWCeF2QrwmNg8GMfDJD7TQZCKhLndCrUw4HHPQnZBefYB4lRGmCrmh0vTZ3BwNKKVGE4JzX5XA0ojB1rCefwnjjA2KGDBQFJy8Z+m38b36D1NDoT8bU9KNzUwDnnnmaw1v3yJMUjOo42nFCXxiwcPnTNJVm02UymvHB9Vu0Wq317IZCWdumoesYus5Bq8mdO2PiOCJJE+IkQeQwiwRBOEdVtVOJ9DXHYralWN03Dhbu0IjUGy6Djbkti10oJfLxJyjzAuXnP4cwBCGQTzxO+cvfZ7aDRCnKdp0ObA6yPPXZt3QL0jSlPxjw2OUOeWlsJCsAdc9iMNpOFAQw3SOm32caYJoawUI3MugdnceGqeP5Foqu7dWvGMZ+IqHvcRCD/foVzzUZ7nBDg+2kpyxL+oMBmipwao21a+3J0TG/ZpGMgkr7MgqQi0wlxzao+TY527vlX7Tg/qzx5JNPous6SZIwGAwYDAbcuHEDVVVptVp0Oh2azeZDtQh81jgrW+NHhOUrgG1F3vHV8c/SjvezxvKH8FmFOC2DD9vtNt/4xje+MFeQB2kk7Li4/sUXX/zUhgPLG+Jy/z6uXiXOY/7ZK/+MN/pvHP3xRNdEV3Q6ToeS8lR2ykl03A794KiLkBXZGsExNIO21a4cZpLtBaGmaHimf8rlS8qjzyCEoG13GEYj6qaPoRqUsiQtUoIsqMIAS0E0jphlM7oHXVTl9DlYif0DsvL0qmZWpmilRlIkDLPNRK1hNZnG442dKVuzUaTKID3daVoGP5Zy/dxsOU0m4YyiLKiZLrZug4QoSbkzfhOhFiCgLg2KQtBUDMa6znwyREYpaZbR9Vrkec7hcEQpJQ3Xw9Ic7gyq70ZTNfwf/Ii7tQbcvYtIU8zu49hf+xq9LIUkpuu36A2qY+25DkKRRPYV8svXEbduQbgQGgudwye/BufP0+34jOczrn/0EdNRRLfbxZCycvXq9XAMg3HnMbh0aW2fhRBMZzE1z+b8RZ9pEBAnKUmaYmsqd+4OKIoS0zRX3RdV07Ati/l0i4NbzSEONp+vrmMR7NCv7Mpi1VSFyWIcSz71FMWVKxDMQTfAsvDru7Nb6nVnp51xvW4znm5/vWXqKyJwHPGi8PN9H91wKXZ0JvZd733fZrLjMwBbwzSXqNVMkuHp30SaZCsCY9sGFuB6FkJVmMcZ8bFMFs82GaS7icS+DBfPNfcSFnXP8dhm31yUJf1eD1XTePKJSzsd04QQKIpyyjZZAlGUViRUSkxTp14z0UyDMC2I0px23ablffrAxgcBy3vVsh4wTZOLFy9y8eJFyrJkMpkwGAz44IMPeO211/B9n3a7TafTwXXdh25h+NPg0xKWZY7OI8LyFUWaprzyyivEcfypV8e/aBwnLGe9inHr1i1ef/31T6zNOEs8KCNho9GIa9euce7cOb7+9a+fGUlc7t/HJSuDaMBPrv6EO/M7O5/nmz6HweFq3MrRHVzdpZQlk3RCXuTVeJddXyMrm1DTavSC3qq411Vj0YFRiIuEeTrDVC10RWO0o5OjKTo1o7YaTVu3P666M67iMugNMS2Ti+cvksmMIAvXzoW202EUDU+RhiU8wyfJUqJi84p32+kwDEer4Mr113qkeX6qawNLLct6xoqqqnTsDmUpqds+szhgngQUZYkoVcI0QlhWlV9SmBQIJqTMZYaZ5ah2A8tymco5QRySpxUxadQ8yhLuLshK26+jKzp3+0O4cAEuXODA7zALYsK42k9TNxiNAxRF0G749Cdj6jWP8TyE738fcfkx6PewVZ1+4xyNp6+QyozD0ZDRaISjGbTbHfQ8R/nd30WMKsLm5SXROzcpv/Y15He/u9r3g26DNMsYTWcs/R2EEFimScPzKaVBnufEcUwUhkzGYzRdJw0TJCqGYZyyTkh2WMc6jkkw20x0FEUw3aEPqZ9Mt1cU8PzVP01Tg+1cfK8mQ9N333JrNfPUmFQYRYxGQ5qNJt1uY69tbrCna2HuEeQbhrqXBOyDbeuVcQEQH+sYuTULp1ad3/uO1f1kuJiGtvc5Ybxb31JzrFMjdEVR0Ov30XWdVrOJsed7A9Z0NJttk3VmQbIgetU55rom33is+aVx1lpOO2y6PymKQrPZpNls8vTTTxPH8ar7cv369UqTdaz7srTo/rLirGyNH+Y69ePiy31G7MHxVOrpdMq1a9fwPI+XXnrpof+xLFd8znJcqixL3nrrLW7fvv2ptBlniaX17xd5wV8SuGeffZYnnnjiTLcthKAoio9FVt4fvc//9Mb/RFZmWJpFnG9eGTxwDjiMDtcK6zALV2L4qsvRxlANojxCEcrW4r/rdOkF66NbWZGujYU1zAaKoqIIBV3VmacBabFebNiagyLUnWJ+tVD58PZ1TMfEdE2GSy2NAFu3MDULV3PIipym1SSXBWmekBTJ6vO3rBaTeHoUcpllEMWgqeA4HLgHHM4361kaZpN5HJzqugghOHAOiNOYttNCEQqFLIiymJrucm+6HoTpGi5FLonSiLrjY1x5DuXGIaNhj7zmglAwZwFtzad34Tyz6QBDNVAwaLgmg/mIOFWJwxzbsLBNg7woGS4IhKqqdOtNDnuTNSLnmTVytSQrUnqLHJYiXXxvQqkS3S9cwG+1SbKU0XRKWZYMBgOEANdtUpQS8cYbiNEQHBdNURhmGqQJyvvvoz75BPXnnmAeh2RFxmhyWhxvGjrjSYAQAl3X0XUdz/MoyxJdEfQOJ2uZL7ZtY5omjm0djV3FMeL6dcR8jnQc5BNPkETbg9TqdXenoP3kWNpJxHtcr/bZFe/rXJxs/syDgMlkQrvVxrIsHNvcSVhsa7cDGezfB79m0R/u1p7s20/XMTfm3ATzmGDRoXJdg7qhYVoGSVkyDdK1kaldVsRLbBO3L2Ho2t7Papkqs2O7m+c5vX6/ItTNJgI25qYcx7YwSDgq3l3HJIzzo+6LlIRBwqV2jTzPV/fs5f8/jLjfexRUv+lLly5x6dIlyrJkPB4zGAx47733iKKIRqOx0r44jvOl6r4sFyEfEZaPh4e7Kj8jLN2cnnrqKZ566qkvzQ/jLIX3y+5TkiS89NJLD4yV3vIH/0UQlrMS1+/avqIoJEmC4zj3dSP4k9t/wq+99mtrxbRruDiaQ1ZmTNMpyMqZ6zDcnSRf02sEWcBgQTpUodKwGhiKQVIkq2117M52560FWnaLSTKlOFHk25qNo7srN555GhBkO8bJUo2bh7fwGh6uc6IwlRBnCa5e49bs9sbXVyNw3YokmHUUBMr1G4iPblTFr6aht88RPu3SdtrV/JAQVSYJle4lLwoatg5ISllSlAV5meOoLvemp49DlWq/3p3yzBqW4oAKIJhEUxpWg9nXv075zls404B6qRA6TW49+QSy5qApKh23GjU7nM7RVR2ZKzR9n+FsTB5nqIVRZST4VXBlFGZrZKXheiBgfGycqu031jQdmqbSbnoc9iuXr6Io6Pf7qJrKc08+vXqucusWqBooCk0UekDN1rCDOYP+R/TO+VU3Z775+/RrLr3oNJGpVmLrFHmlw1tmvkynU/I851ynSRSBE0cYv/d7ECwINuC88RqzF//sSnNzEuoOQTvs1peYlr4zcX2fnbFpajvDIEGutCUSmE2nzOdzOp0O5mK8dJ+g33XNncW1qqp7U+O3imNW72HsJQE75+4Ay9IJghSCFKi+P1VTqTcdVF0jSLK9VsRCwCzcvS9+zaQ/2k3Q8mOkJ8sy+v0+tuNQr9er37yuMo92d3Fc29hLavL8tO5QSskLT19YjTYfv18rirL638OCT3ofVhSFVqtFq9XimWeeIYqiVffl/fffxzCMFXlpNpsPfTDl8nv+NPtRFAVRFD1Kuv+qoCxL3nzzTW7dusV3vvOdL11i6FkRltlsxtWrV/E8jxdffPGB6j5tc9L6rJHnOa+88gpBEPDSSy+d+UVj2TWq1+tcu3aNer1Ot9ul2+1uXG2SUvJv3v03/Ob7v3lqW0EaEKTVEqKt2XiGhxSSmlFbCeVPomW1mKbrVsOFLNY6H6Zq0jCblLKkbjWYHbM9Po6u06W3RTi/zG5p221G8YRClri6i61ZCKGSlRlBFlQBirHKjcFHtNstTPO0wYOqqPjGMZezk5CVJuXO9GhMTtw7RLz3Hug6qm9TzzUO77yDTIfI559fK9669gG3p3dP7YYiFBpmoxoDOwYhKoezJVlxFzkrmqIxmI6ZFce6T1aDWTinduEy6sXHmB/eIcBioimgqnT8FmUGt4cVyRQIOm6bSTCnN6nG6+pmnbBIaPk+w/mYbq1Nb3A0TtdpNoijnPF0fOyzC8JgmT8BnZbPOJhRFpKylKsCzrIsms0mYXC6KBOAiqRp5YxKyXyReg/guy69cLPWJNpiqyuA2UJjIYTANE1M06Rer5PnORoKSTzG+oM/oJzNkValkVAQuNGU8I//mOI//o9P5agoqiDNMmqegaZVhaBQlgVkRdSKvERKoxLZL40tqB43TY0oLhCChSFD5bZVlCVFUVKrGYRJypYmJLWFKHsbfM9mOouRVBrBOI7WjCQURdlLNva5f9U9k+F4d9di30iZbe0nLPvGtGquearbVOQFw94RgbWBjmdRIpiGySmy5tWsveYBu1LpAYQiVsc0zTL6vT61movn+6tX+q7JYI9ofw8/20quLnR9mvWje8eStCxX4PN8ke/ykHRfzmrh0LZtLl++zOXLlymKYtV9efvtt0nT9FT35WHDSa3PJ0EQVNeShyVq4yzw4FSenzOklPzsZz8jjuPPpOB8EHAWI2H37t3j1VdffWDd0pYXx8/TKSwMQ65evYppmp+J3fVxvcq3vvWtyh2o36fX6/Hee+9hWdaKvNTrdXKZ8y9+/i94+d7LO7dbM2oUsljrrCyDIiWSWTojzdOqIxCeDj88Dkuz0ITOveDu6m9LK2NTNUjLjHk6p2k1TonrT6LrHKwRmiALCI7ZH8tSogQK02jKC098Hd3QSYuMOI9J8qowsnQLTWhbrZYVodC0WvSOj3lJCffugapguB4mOgMlAd9HjMfI6Qzq/lE+ywbb4mUg5DAYr/1dVTQO3APyIqPltpgnAUEaoikGo2hKfsy+uWk30IWBpVtMoikKCn77EpP5jI7XIM4TKBWGs2rfapZDzahxZ3i0L12vDaUglxnDeYxj2AzHFRl1bRvdUBAI5sF64dX2m/T6U5qNGmmR0puMMA2D4Xi2cvipLRKv236dweBYwX35Et03X0VRNe5Kvfr60hRUddXh2CQgB/BrDtMt1sANv8ZouLlA9GoO0Tyno+uoYYQ0DaQAihxTKRCGQjfpkRdD5KXHyIuCNMtJ0wzXMZlOtxtLdNt1ev3NuS4AzUaN0XB7909XQCYpqqpgmjqarqHrKmJBjAxDpeFZJGlBnGanilzL1JnMYobDIVmW0e0erHUZPM/cKfwGuZfQqHtctxxHJ9yRzwKsyOg21FxzTyeJndcWAN1QGQznq+cJUbm7GZZBnBfMogRL19htE7KffPludUyX57rn+3gnRmzu5563L29mG7l65sr6IunxjsrxnK2HpftyFtkiJ6Gq6oqcHO++9Pt93n33XSzLWj3eaDQeiu7L0gzp09RTS8LyZaxdt+ErS1iEEDz55JPU6/UHqmNwlvg0DlrL8KcPPviAX/qlX+L8+fNn/OnOBssVp8+rwzIajbh69SoXLlzg+eefP/MbxiZxvWVZa6tNg8GAXq/HK6+8wjyf89vBb1MaJW2nTVREKw3KcWxzy4rzeKVxUYTC+dp5ClnQNJtM02Maj2PwTJ80T5hn68VdIQsmyRioCva6WSfKYzpOB0mVw3I8tFIgaDud3YSmhHScMs2mtNptxtkEju2Cpqi07FblGiYUbM2mkDl5mZPkVXq9pug4msMgPGGzXBSQJjiai0RlKhdFh6ZBWSKyFLEiOhsCITULV3MpZEHHa1fp82VOnKcYwuTOZN3woGE3mQUBhSzQFI2G42MoBvdGfYrFsrxA0LJaIAS2ZdGfj+jWuvRGQ0zdxHccZAl3h0f70nQ9ojhhHi++dwmGMEkI6bYb9Ccj9FKnTNdXxVVVJUsLmk2X0eyoE+PbHtd7txmNRjSaTdzFCma20LmomkKr6TL71rP0Brdo90fAIqtEUZBPPYXsdml43lpy+nGYuglbclIUsb3g8D0HQ88wRIBmRGSGTqxqRAgkgruJDmVJ/4MPKZMEy7KwLBtN0zBNA9he0Ec7xrkUwVaLZai6M0tdTVGUhGGytn9CVCYJWZqv/m07JqaloxmVpbOCJJiNKYqCbrd7yt1K3yP89jyb2Z6Owz59i2MbewjLflJk2/pewrLfithieKwbJSVMRgFLsbph6qiypOPbTKOUNDt9nbJMnWhPzoupa5X4ezikUa9vLP7CPaNe7n0EV5pbvrtnr2yf6jhJXpZd9we5+/JZuZIuIYTAcRwcx+Gxxx4jz/NV9+XNN98kyzKazeaKwKxZrj9AOKsMFtM0P7Ub6cOEL2elfp/odrsPhMPUZwVVVVcXtY+DPM/5+c9/znQ65cUXX3zgW46fF2G5efMmb7zxBs899xyPP/74mW//fpzAVFXl4OCAg4MDPpp8xH/1h/8V99J7xJOYPM8xTZNmrUnbb6MoCtO00kYMosHWDACoiilP97g7P+qYCCGom3UMzaiS7tMpTbPJONoe4ghg6Taa0FaC+3l6RGwM1cA1apiKgSJU+tF25zFRCCaDKbmS0+l0EOL0Bd4zfIbRaGsgpq05GIpOvshQUUTVaVBEZdZgmh3kbErhGNSEUUlWshQUB+lfQHU65GVB121TAuVCr6IqGkmaMDjhdqYpVcdlHI7X/t6yWyRpStOtU5Ql42hCXpSMpkdkxVD1lR1ymldFUsdtMZpO6dZbDIMxcZqsCkrbNKlZNlGUH5EVoOO1kbnEMDV64+rz+ZZHPzwiJbqu0W00udNbPy8MTefD67cYTya02+1VtpLv1oijjO6Bx3g2q8T6mob1H/05+m++B/d6oGvIS5eQly8DoLKZeAghVtbBJ6EoR49pmkrNM9FNhUKWRHFMVIRM4wh0FdWtQRCAXXU46wLSIgfLovHMM8SyXGhfZiiKQhpFSFRM0zz127Itg/mORHW/7jLeIUT3PYfhjsc9z2Z6bBRLSoiChGhRuCuK4O7dQ4QQdLsdarqG5RiomkohJXFadYp2wTZ0ZjsIWZWdsruwvp9AyX3J8/uE8DXXYL7nc6jK7pXnPM+5d3u8+rx+3cFy1sX7NcfYG0w5HE8ZDAY0m82No0Wmud/EwLH1vYQl20CohBA888T96R6Xxe1xzeYyj+tB6r583lpSTdPodDp0Oh2effZZgiBgOBxyeHjIO++8g23ba92XL5rQLXFWDmFfNjOCffhKE5Yv+xf9STosy3EnwzB46aWXHgr2fpbmApsgpeStt97i1q1bfO9736Pdbp/59j9ucv0r917hX/ziX5CQUPfr1P1qvj+KI4bzIXcHd9E0jYuNiwQyoG23SYqEWXJ65MXWbBRFOTVOJaWsLIUX9ck59xxxltBy2mRFxiyZniIuvumTFKe7L0ukRYqSRWQiY74Q11uqhaNXovJcFsRZTBTH9A/7aI5G028uJO/r6LgdBsEAuWW+xDc8kjxjki0GR07ULi27xd3zPnJ2F6YJ0rIgzxFhiNm5gGpbzKf3Tm3XMz3CJFol1i9hqCYGJpOoej9V1aibHpZmMQurkbBgkTvRsBrMgjlFWVK3fXRVQ0iVO6OjblPd9lBQEYqkNxugKRp5JgBBt9msRsRKl3l0VPx7lk1RlIzmxzomjkd/VP1bEYJ2yydKE+71R2tkRQJZlDKdTquMlcWoo22Z1ByLeTSkN1rvMnitNr1nNXj2ubW/65rGaEvKedOvMdzQebEtnWazRprlxGnCPIwYh/FSk41tmUeieFWl/KVfQvmTP4EoAkWhyDJQDMoXXkB1HFzAdWuVG4+QDIZT4jimLMpF56X6n6qq1FybKNw+DqbvKS6UPQW2ZehM2dyhyYuCNJqtQvUEYs1NCyrhdyElfs3GsHWEopDmBUGUrrQd6Z7FKc+1SJJd7l9yLxmxLGPnc6pgzD0dGGs/YdlHAPyazfgY6Z1OwpVdtaar1JsupqpgGtrWLJc4ihiORqfDT4+hZhske0jPPoKmCLGxo3TpnI9rf7L766buy3ECs7zvL+8ln1f35Yt06xRCUKvVqNVqPP744+R5znA4ZDAY8Prrr1MUxVr35YsIul7iLAjLfD7/So2DwVecsHzZ8XEL+cFgwMsvv/yZjTt9VvgsOyxLcX0Yhrz44oufmbh++fn3JdcD/F8f/F/863f+9amOiaZpeDUPr+YhEOiFzp3JHZJBglCq0TLf9el6XRRFYZ7OMVWTqIiI0l3p3IK21eHefFG8J8u/K9StOoZqUpQ5KirDZHTKCew4fNMnyVPm+ZEWIC5i4uKoyFFTlcPePc51ztGqtxBCoSgLkjwmzEOkPB1ieRItq8U0npJv6QR17S79YIBstxHFU3DnDiKMkKqCc/EKxeNXmKeni7uG3WAez9c0KLBwO1NdBAJLN0nyhFkyR6BwZ3S4RqrqVp0kzWnVmoRJxCSecuB2OVyI53VNo11rMp7OmWSL0S8JdaOOEAqlzOn179EezegP3kc4LtrFizQaDcoMBpP13BpyARLaDZ8oj+lNRnS9FvPy6HlSSqaTCWlY0j2otBM118ayNeIk5Xa/v8FsQDCZbu6UNDyPXrRFYSCr64ppadRqFkKRBFFElITYmc5wtJk4VKTiqHiUTz1FaVmIt9/GGI8YNg8on3kGeaL7KYSg3W5QlioSyLOMOI4JgoDxeFxlo5Q5aQq6rm/8/e0bcdqm1Vli20p/llemBhcvtLEtY+tvv1536PdnTMcBjNcfq3k2ds0EoVCvWczDhGJTp2TP+tz9jJTl+e77ie/ZTHaMzgGbP9sxWJZOuEfUr+9we8uzgsHhFNPUSJIcz7exXJO0lEyDpAq2DQKKNKDVbmOZ5tZt3c+a5r7xNt+zGG84Js88cTYmP9u6L8fHyODzGR17kPJkNE1bTSNIKZnP5wwGA+7evcvbb7+N67or8uL7/uf6uc8yg+XLvvB+HI8Iy5cY90tYpJTcuHGDt99+m69//etcXox0PCw467yZJY6L61988cXPTFy/JB77Lph5mfM/vv4/8tPbP6VhNtBUjSALCE+kRS8F6PN0TrvVRiJJkoQ4ijkcHHK3dxfLtLjQuEBqpNTNOqV+FBR5HJqiUdM9+ht0JlKWTOKq6O06XfrRAEe3sbUmAFEWrVkUt+z2gkRsJjRSghIr3BzeotVqUuqS/gndiaootJ0OWZHRcboIKhFwIXPShWalYTd3dl4qAf1ifwTIc+eg3UYmKb7dIFIEWXG6wGzbLcIsxtFddFVDVRTKUiKEYBaGDJL18bC202Y4Ha8+h67qNO06WZITZdFKz9N12xyOh9imRc10mIZzZvOQOFsUQhIu1M8zCeaESQiTCc7PXiYczlGlpCsURu0G5a/+hwyydeLe9lpkSVEFIs7HADimRX90RCaKsmTQ79N0fLy2Tb1eQzcUhtMp81TS8ZvM5emirOnXGQw2k4twwwq6oggadQdNA7ehEYQRybFCTtM1xpPtHYBkg5ZAXryIvHiRWrNOf4dgfvnayqb2KPOlKEvyLGE4nBPHMYIqH8JaZL4oikLNtZjvKORrNYv5lqBKqIrr6YaCNUlTBv0+tVoN06ztzWjZhvksQtcURgvNhxACv25j2AYoCmGcEcbJXu2JZWrMth9CFHV/98TYYxtdpcrv3sYmB7GT2NY1OdrGURdnNo1W+iNNV5EiQ6QBj1++yCTYk6uzp9PjueZewqJvMTrYpV/5NNjWfdk2Orb877PAZyG6PwsIIfAW5iFXrlwhy7JV9+XnP/95ZQXfatFut2m1Wpg7SOxZ4CwISxiGjzosXyV82Znp/RCWsix57bXX6PV6fP/736fZbH5On+7s8GnMBbZhOBxy7do1Ll68yHPPPfe5iOt3IUgD/ttX/lveHb4LsDa+tUynz8ucUpbERbwat4JKyG2ZFpZpUacaHXNKh5vDm2Rphm7o2JaNbds0nSaWbpEX+Wp74y3OW8ttd44J549bKMNRar2rOyR5iq7qG3VVspQQwJ3ZHTrdzsrK9Tg0RaNmuBwGW/JjJHTdA0bhEEuz0FUdVVRBlUKAQEEXBllZOaGtXrTYE11o5EWJiaTKWKlyVvIyx9FderM+pSyJjo32eHo1dpbm64VNx+7Qn45wDBvXsMmSGPHOO0w+vEGWp4hGA/nEE7QvP02WlbS8BqP5mDiNqVsNxvOKULRqdQzFWDiCVV66yiuv4PZn0GgSq3CvyDD6A8I//BP45V9efQbHshBIpvF6FeroDqGsiGaeF/T7PWzL4uDcOVAko9l0pU3XVY3ReLMzVp5u/s3VazUmi9Exw9TxPAspCqZBgGoIDvubz6dGrUa/v7kr41jWzoyUcsdYjmnqTOebX6sqCgfnDxjoQZX5kqREccRkMqEoikrUqrXJi3JrLohtmzsJi+/bDHrrx3Ap9K7Xfc4dtPdqS/a6fx1LjZdSMh2HcMyKt9FyEZqK75ikecksSE7pVTbpLNb2w7MZ7wlyzPZ0YGo1a28XZ5+DmKYpzHacC7B57EwCg8GIIKiybcowx9cULMckKUsmQbL23rvCIJewTH0vYdlkCKAogqcfP9vR4k3Y1305a+H+Zy26Pyvous65c+c4d+4cUkpmsxmDwYBbt27xxhtvVK6Ix7ovZ10rPhoJ+2T4ShOWLzv2EZY4jrl27RpSSn70ox99oTOdnwZnPRL20Ucf8eabb/L888/z2GOPndl2l/i4ZOVecI+fXPvJ1nDGZTp9224zS2fUjBq+4RPnMbN0vVhVhUrX79IP+xx0DyjKgjiOiaOY6WxKX+lj2Rbn/HOgVt2a7sKed5rO1sa9VEXDN/ydLl9FmaMr2lqQo64Y1AwHTdGRsiSIQybjKZNsTPegi6qcvpDbuo2CwjienHoMlo5j7dUxyhf5LktoQsUz6vSizYGSbafDndm9jV2ZrnNwKqUeqvG2KInJjnWlDFWnZbcocolj2IRpSJgE1F99k+T6R2SGBqqKcfsu7cGcmVpj5h797jpuh/54RNtrkBUZURIzy2JWldRoxMXBnMCvMVEX57yqUjc9+oeHEIYY9Tp1z0VIhcPBeO0ze7ZDfziGPCeVksFgwLlum4vnz3O3v94hAmjWfA77p4+55zpMtnRDbNPEOKeR5imTecBgWVzmOemHH6Fcv1m5iV28iLx0aTV3s2vcyHWsrWNCqqrs7Mx4rk2yIaByBVm9vxAC0zIxrWp1NVuMjk2ncwaDKZqmYdmV65hhGKsJqyzdXaQLuf77DsOQ0XhUCb1tB8cxdxKWWs1ivoew7BOG66q6ZtmsCIFfdzBtnVxWSe77uif7XMo0Tdlju7wo8Pc8535GrIaj3bko+QkCK4HJeEwUR3S7XWzbYh4kSAnTBQnTDZV6wwVVYRKmuPbuEM7qfXbfdzRVYbrhu3v8YhPLPNuO/f3gs7ZNfpBGwu4XQgh838f3fZ588knSNF11X1555RWAFXlptVpnous9i05UEASPCMsjfHmgqipZtvmCO5lMuHr1Ku12m2984xsPZBv3fnFWI2FSSt58801u3779mYrrlzeI+yErbw/f5p+98s/WuhabcOAccBgdgmQt3NHQDHzdBwFJlqAoylqwoqqouI6L67hIKYmTGKuwuH7nBqUsVuMxlmmiqhq+6WOqJsjKxngYny5yl9AUDd+oLzJWjpCVKaO4KrDKvCQcRmRqxpWLVypistSsFClhHlLTXZI8JSq2rZJr+Lp3anxsdQwUA0u1GEWbV/a7TnejbXH12Ob8lYbVIIxjbN2mblU3sDCNcHSHu+P1kEx3FpPeukPqOTQNF1UIMrtk0BuSvvsWfPvb1XvVOpQF1GyHwXyEIhRquke00Pv4Tg0nTLgnJYV6dN400egJiVGmtF2bocgJk4hwfqKTJUuMN95Fef1NZBjQ1FTcrz9DaZ9jMD7d2dilUTE1i9kx217XMXFdk6zI6U2HFCcLuSyj/nu/x/zmIWIZyPjBB8grVyh/5YeYlrGTdOwaEWr4NQb97fkoeb69qBSCjeNaUK3C2rZFkZVcuOCSJAlRHDMYVOeZZZrUai6jERsd7CrIte3P53Mm02kl+l2En+76fAC2o+8kLJatE+4p8k8W1qWUa3qYZsNBVxUs36CQMAsTshPjhfvGtLyaxWhPwOK+Ls59OYjtuVcJAfPg6HhJYDwakSQJ3W4XTdXwa+u2yVARz/7h0e9Adw0O6jZRVjKLklOdn+Ohk9vg1SxGGxzxnj0j/cqnwUnyAnzq7svDSFhOwjAMzp8/z/nz56tu5bRykvvoo49OdV88z/tE3ZezsjWuncgM+rLjK01YvgojYXF8+oJ669YtXn/9dZ5++mmuXLny0B+HsxgJy7KMV155hSiKPhdx/f2Qld/96Hf59Td+HSEELbuFKlTm2Xwty0QRCi27tRYGeRxpntLP+1VoJAWKVOg6XUp5WrMihOCJ1hMcBoecc86RpSlRHDObzhjlQwzTZGZNOagfUIiCJE9wdAdHdwBBksfM0zkSialamKqxk9CQwaQ/RbEVGn6DIAsJTmTINO0mSZ5gaRae6aEgKJHkZU5WZJRliaZojI6RtONwNAekYLrBHa0aIdtMVgSCtt2hPx9gaRamZlZOXgh0RWcSzsiKbM0prON06U+HHK9sbN3GnY5QspJJw2JEhi1VykIhs0zEaISqqHS9DqPZjDg9+r223Ra98QjPcdE1jXE4BatGaRqIOEY6DoqEPBeciyNGvsMhOZQqnmIRyPV9br77PpOrr9GWOTMVwhyUX/yctmFxePnKqWPQ8hsbR7Q0TWM0mmHbJrWaSZTGzMOQYBzSaTROkxVAvPcezs3bzE23CpYEyDLEhx8iLl/G/+Y36YWbu2euYzPbMtIFbE2Wrz6rupV0AdR9l/Fo+7YbfiV2VxQF267GJqt8zJQ4jinymN69AYZprlzHNE1b/bY9z2E2iZDAdDolCOZ0O53VKq2qKlstnpfIs93XtlrNIo62kwlFEUx3HAOotB2j3ozZsectxfyFhDjNmQW7i3NtTyilooqdY31wfw5iUbz78eNjZxLJcDgiz7Iq22Zx7u2zTQYYDuYkSXV9NEwdr26DqjANU7K8wHPMjd2T49DUzUXps1fuz87488JJLcsn7b48qBqWTwohBPV6nXq9zlNPPUWSJKvuy0cffbQw9DjqvtyvzvWsRPePOiyP8KXByZGwsix5++23uXnzJt/5znfodr/4VZ6zwKcdCQvDkJ/97GfYtv1AiOtLWfK/vvW/8u+v//vFBmB4LO/D0R1cw6UsSiRyrWOyCQ2rQZAFKyH5qlsjWHVMClmgoq70IYJqpckwDOq+T14UxFGEURi8d+M9FE3Fsi1SKyUwwtV4jKZotO3qZpyXObZmr41mrZAIev1DnHrV3dmEjtNhEG4Xz9f02iKQMsTWbHRFQ1FUVKEihEBXjOqGK0tcw0FKuVoJFxI0pcqXOXC71VTQqgMmURWdaTRFsh6u2bJaDGY9yhNV8nGyoikqvu1jqDqzMKQnYxStQJYFhlBQCpWIAi+XWDWH0LToj0dro2XtWoskzWj5dYbzCSDp1jr0kjHiyadQ3noTdTrlvGIxSKccahrl018DVaXp1hmdcNpSkoTaG2+RqAW3DQNd11EVBSUImb/6GhxcAmP9vI82BAjqusZBq8k8jJgEc6ITK+ppslnErNz4iCnqEVmpNgZpirhzh/jpZze+DsC1TIItVrqaqjLZYp8MUPfcrcYAUDmy7cQWsy3TMDANg07bR9fH1VhlHDOdTlFVBcuysSyLTttjCozHI+I4ods9WHtP37cZ7RhvUlWx13VL7nHd8uvOmgXwJkQbxu3ms4j5gmC02y6qpmK5JrmUTOfxKTvfXcGbAH7N2quB2ecgZpjazrwcOBo7k1IyGA4oipLOiSDOfWGQNddcc4ZLk4zB4cK4QUC94eLZOmVRMt+x35vc4TRV4anLn71+5dNgl23yru5LWZZf2iBuANM0uXDhAhcuXKAsSyaTCYPBgOvXr/P666/j+/6KwOxy8HpEWD4Zvrxn1iOsjUplWcbLL79MHMe89NJLX6oT/dOMhC2tnC9evMjzzz9/5t2mj6tXifOYf/7qP+f13utbnxNmYTU2JasuR8NqoCv6Rs1Kx+lsD42UME2m6KqOo7mMknFlU6yY5OW6ZkVTVZ48eJJe2Oecd444SYijiH6/jxCiKtBsi/P18wyiwVqQo67ouIa70qyMR2PuDO5Qb9Uxzc26qa7b3arZAWiYDYI0JCurgiDKj0nh5wGteU4vC8lrNfD9NUtXVaj4Rp3D+Wk9i6ZoeLp/5CJ2/FjabQbz8SkC1XW6pFlG12uTlRnTaMo8DdAxqtyVdqfqhkwnuM4BmqKipgmzMiG69DRaJtbISrNWR5asieV9+yhLRTz7LO1WC/n2m9yZhpQHXeSVK8gLFxEI0uSITKmqoFX34dZtPopDMqNKRlYW52HbsOkFCcymcGwEslnzV65TihA0GzXkQpA/mk0Jo9NFo+c4TGebC+MmMNoyNuUKsbODssupqe45DAbbCcu+Yn5X8StgL1mYTmM0TVvlP8iyrH4bccxoNCKOZkRRXtlKdzqnCNK+roRfdxjtCKSE/c5durH7PUxT22vbLITCbDJjtiA+ihA0mg66ZZLkOUlWMA/3uGXt0MCIe3dRPviAQErEufPIK09UtmQn4Ncs+sn28T+otFClLKvRPQndTmdtkcgwtb021FWnZ/NzpITJKICiZD6NsGyDWt2mRDAJEorF4pmmqcw2HJMrl1s7bZkfNHyc0Mo8z898we9BhaIoNJvNlVFRvBgXXRIYVVXXui/HiVxRFJ9aCxMEARcuXPhU23jY8IiwfImx7LDM53OuXr2K67q89NJLX7oVkE86ErYU139WVs7HV6Xuh6wMogG/9otf453ROzuf17SbzJP5qlg/rlkxNRPP8BZheerWUbElXN2tbsCLbUyOidqFUBYdGAtd0Rep9NW+OLaNY9tICWlazfYzhzcGb2CYBvaCwKiqSlZmjOMxspTIAA5nh3QPutSdOpZapY6XZUlSJER5TNNq7CQrbbvNKBqf6nIAiJs36b5/j2E6oxSgaFol7n7qKRCiSqLX3I16lqPHxqce69gd+vMhSLANG0evwjZ1oXN3st5x0VQNU1jM4kVhZZr43/k+tZ/+gt64Ty4kUtPg0mXcp7/JKAqqsT+vQVEW5FnJ7JhIXFVUirSyT277deZxwOG5FvUnfkw+m62FRXRqLXrDCZqm0qp7jMMph+MB+XCMJgSmpq7OQwWYZSWoCpy8eZYKnudgWRrj+Wxlidz0jojMSVi6uTVpXTxxBe5dhbKEZfFYFCAEzhNPsK0HUnPtnZbCyO2/KUXZrsGBSl8wm+4gQ3WH8Y7uh+c5zKbrn00cGx3TNMHtm1V2kaKq9A4PMRQFJ8swfB+t0djrDqbu6cb6dWcVmLgN+zofNc8i2UMCThb4pZSMhwFQnQudroermaiGRphkBBs6NtsCGJWf/hTx2mvUZcpEGChvvQ1vdCn+wl+ounAfA4oiGE1C+r0+QlHodNqnrrv3Q3qKPfcTVVVW+pU4SokXx1hRBM1mDdVQUTWVe8PT7/PckwcfZ5ceOGzrvsRxzGQyoVarkabp5x5a+UXDsiwuXbrEpUuXKMuS8XjMYDDg/fff57XXXqNer9PpdGi32+R5fia2xo80LF8hPOzajX1QVZUkSfjDP/xDnnjiCZ5++ukv5T5/3JGwsix58803uXPnDr/8y79Mq9U68890fP73fsjKB+MP+CfX/gnzdF6J1S0fRSjM0hlJflQsVHkn/c0dEyDJE4qywDd9DsNDXMPF0R2KomCSTiiOBR42rEWXothc0EhZEmQhqtDoLYiPa7hYqo0QgjiLmGdzTNPkUvMxekGPbq4RRzFBWIXy6YaOZVmYhokIFcbHnMDmyZw5Rzd0beE6FqQhDauBpmgoCAopyWVOmid4hsfhNjIzmXDw7l16WoZsNatCPo4RN2+C72NceAwdfY2ULWGoJqZiMokXKfWKiq3ZGJqBqZhkeU7d8gnTcJWh0nE63J7dW9uOqii4qssknOE7HqZmMIvn6Bc63HzRRAz6kBdIz6N76WlGwZxuvcU8CRnMh3TdDuMTZKrttpBldQz6s2o0sFNr0x+P18iKpmrESUa3XWc0n3A4GVAUBVmQMNMNDg4OEIeHFWFQVdq5pBfHyAsXwfOq46DrtBoe8yBmHoec4grl5vNYVRRGk81FoKZpDB97Et75kEqhfvSYvHiR6bmLsCVXwzZN5rPNK92KInbqPxp+jeGGgvH4tmdsL+b3LezYpr6VoBVFQRzNURSFbrdbfU2vvIryxhuQZUhA7ba48+1fxmg0sCxr4zViH9mwTI0t8ZwAGJa+d4TqpIvZSTi2sdeFDAnDY3on2zFxPAupKivXr016D3HvLuK11wCwVMFEqFULo99H+cUvKL/73bXnbyJCa5/V0Xnv/Y/QVI1Wu4XYl5a5AfeTFeN7mw0GylIyWowgdtsergDHs8lKyTSsrKSffeLB0q98GiyJSJ7n/OIXv6Ber3Pp0iXgSLcJn09o5YMERVFotVq0Wi2eeeYZoihadV/ef/99oJp6cRyHZrP5icjLo5GwR/jSQErJ4eEhYRjyne98h/Pnz3/RH+kzw8cZCVuOxiVJwksvvYTjOGf6WT6JuP6nd37K//CL/2E1RpWX+ZpmpWbUquJZMbgT3NlKVqDqsE8DxyUAAQAASURBVJiquXr98VwUIQR1s46u6uiKzmHQ25lKby10IaNjwvkgDQg4WmE3VZOm3SYvczpOmyALqlA+36MoSuI4IgojCGBWzHEchyzLUExlrZhYhl0u82VO6V4WAvnDoIeu6BiqgaZoqMoiZwWBeXNGnqR0611KqrpYWjZi3od+hHKlSVZmWHo1hiYQSCS6opHlBXmZ4xouSR6TlznzdEZXO+DOZJ2UAHSc9oo8LKEqCufcc6R5hqkbTBdJ7123S28yBNNAXrxY/a3WQZYgyenNKtepttuiNzkiK4Zm0K7V6Y8n69bJmsFkvt7lcC2LuuNzdzhgthgJy/KcQb9P3WrQ6XSQ3/se8o//GDEaIYCwUJHtNvI736HV8ECB0WxCljvMw9PFmG1ajKabCUDT9+kPNpfOjVqNflzCf/D/Qrz3HuL2bVBV5OXLeL/0TabBdj1BECQIUYmeDV1F1RRUVUEoYBnGQiNQDemtkr0X3S7DhBrq0QCfrH4DgsVilVHQPGciEIsRuWo1GCkWHUpotBzyvCBJcrJk/RoTx5t/O3me0+/3OOg2aHd8BALx+usor75aVcOahpAlnd4dsj/+Y+79yg8YlhLTNLEXtsmqqmLbxt7RpWSLZmgJz7MYDHZ3E/ZlmriuuZewnHQxi8KE6Ng41PmLDQoEaVEynccsL2Hiww+r/1AVUrkoZIUAKRHvvw/HCIvjGFutrQHyIqffG6NrOs1WcytZ2Ud67icrZt8oH0AQJ4RButJfqZrK+a7PlUsPX9bZLsRxzM9+9jPq9TovvPDCFxZa+SDDtm0uX77M5cuXKYqCP/mTP0FVVd555x3iOKbZbK7Gx+63JpnP5486LI/w8GO52jEcDjFN80tNVqDqJG0KIzyJIAi4evUqjuPw4osvnvlo3McV10sp+Y33foPfeO83dj4vzmMM1eDW/BaaotGwGqhCJcxCguyocPVMj6zImCabC0cpJZNkQtfpcmd2B0WoNKwGhmKQFCmzbEa56MAst3VSE3McumJgaTZ353fW/m6oBq5eQ1NUAiWgHwxIrZSW2apm+4dDpATTMrEtm47foZTlWtjlcVROaE16QWUukJXZahwOFo5eVptbcR+hpUjWCzBfEyRpQDy7e2rbju4iS7nmvLZE1zlYkYnjaDtt+rMRiiLwLA9T1UmLDA2d2+O7J557REJ0Tafh+AhgMBmvjZ3Yhr0iITXLwTJNptGc8TxYIysAvuVV3RWg7tZQNEGaZtwZHHXelinql7sXKVCr0q1Wo/yzfxZx7x6dAkLDpv30k8ySiOFi5MvUTUaTzedPzXKIgs1OXruySFaPmSbyhReQL7ywesy0HQinuI6BYWqoqkCogqIs0FWV0SRAGhmJzEhSON4QadfrG+2YoSIk0cLNaRMsU9/pWOU65jpZUEA4AtPQMQwdSzeQpaBbcykLSZqURGFKFMT0+31sx8Y0a9W+S1l1VuDYiJNCoRho0ynnS0l2cEAcx4RhyHg8RtN0LlxskaYS/Vjmy3GomrrXdWtfh6HmWmsWwJuwTwh/Px2YPC3oL6ynNV2h3qghDJVIFsSAimQqjo1/CQEnrumOvZ2wZHlOv9+n0/Jottyte23b+n10rfZnxWwbb1vCNDXCE+N+RV7Q8q0vVYG+JCuNRoMXXnhhbXHu8w6tfFigqiqqqnLp0iW63S5hGK66L++99x6maa7IS6PR2Np9CYIAb9EZ/6rgK01YvozjUWEYcu3aNTRN41vf+havvvrqF/2RPnPcz0jYUlx/6dIlnnvuuc9EXP9xRsCyIuN/fvN/5tXe7u9n2XlYdkxOdl9s3cbVXTShMY7HxMX2G62iqDTN5kofUspiTf+iCJW6Wadm1IiLhCjbvi1Hc0AIJsnpAjYtUtJiSBEXjIcTLN+iXWvj6i5G20BImMch49mQIip5b/Q+mqFiWTa2ba0RSVXR8HSPfrjZHrkKhPTphwNErXZU6Cy20SgNwmxM2jh9Ya8ZNbI8Xxu5W2ITWbF1C9/0kKWg4fjM4hmTaLJ4fpfedP35vuUzCULatTpSwDicMImnKIW+RlaEUNClgWUrIGAUTJinwSpE8jgajs9gPKHt18llziSoCvaW0ySQ1X5EUcRwOKLRaGBabqUvWkDRNJovPE8hBcF0SjAbr39mp0Zvg4ZHURTG083alZptM5ltfsy1LSaL1ymKwHUtDFNDUSs3vCSNEGZGkKcEJ9YcOo0m6ZYcKUVRtr4nVO5g4x2ZIJ7rEEfbh6kc2zrV3ahyilLiJEVvqQxG6wQ7KRLG0ZBzj7e5dOkCeVpSFpAOpqRJSH6s8FCQTIQJZIjpFP3Spaoz6XmUZUkcx2RpRr8/XphaVJbJpmWtDBMadftTd09sW99JWISA2R7jgfvpwBzvauRZyaBXHXtRa+GFIU2jJNItxorBkmLKSxfXtlFu6SxnWUa/38fzaximy44GNK5rEu2wgK62t7tbr+nqXjvjWs3c2P167ukvz+JhFEX87Gc/o9Vq8fWvf33vPe+zDq18mHA8h8VxHBzH4bHHHqMoCkajEYPBgLfeeos0TVfdl2azuTYCFobho5GwR3h4sSzKL1y4wPPPP08YhmcSqPigY99I2I0bN3jrrbc+c3H9/ZKVaTLln7z8T7g+vg4swh0NH6hE78vugWd6pEW6tfMAEGURNaPG3bBa2fdNH0M1yMucaTI9Go9RDWzNZrDDArmURdXJmd2m8nMV1AwPW7MopSTKQ8IspG41CNOIrNymfYEiLBhNRvhND9O0KMqi6vwcqwEvdS8zjsc0ZYsizYmjmGgQoWoqumVgWSa2bq+RquPQVQNbsVYiedluQ6eD6PVA12mVJpN0RN6oIw/Wha6+6ROlySn9jhCCc+55kiyhW6tcs9IiJcyqkMjD6Wmb5ZNkRREqTcdHSI1QiRmEFekQCBzFZXysUNY1jQO3yyicMg2PCsOm3ThFVhRFxTZsEjtnMD96rOH6DBddkfk8YDKZ0Go1efzgMr1hdWxqjo1tmVWWCzCcnCaaqqIyPq5DKUvE9RuI27fooNBrduHJJ0FfF+jbpnVKJ6EoCl7NwnMdbDslzhKCeOFitzjkTd9jOt9OOoJwe1HY8GoMR9u7f5qy+9aWb+m8LJFu0dQsUZ54eUUShzTqdRTdIC9yegtXN5QCzQM7DbF1DVUKjKJkmumElJQnRkAURcF1XVRV4cJFhzRNVpbJ+bDKQ7Iti3pjs8PeEp5n781O2ZfU7nn21mDNJfYJ1G3b2GibDCCfeILgjXPU+rcYJAWKCGgpJZprMf3+9zh+dmzSlaRpSn/Qp1ar8dilc3uDK/e5xinq/jDIes1isMV4Yoltna3nvvZwC+6XiKKIn/70p3Q6nU/krrlJuL8kL1+F7ss2W2NVVel0OtUIr5Sr7kuv1+O/+C/+C37rt36LP/Nn/gw//vGPz2wk7B/9o3/Ef/6f/+fcvXuXb3/72/zX//V/za/8yq9sff6v//qv83f/7t/lww8/5JlnnuEf/IN/wF/6S3/pU3+O+8FXnrAIIXZqAh4GSCm5ceMGb7/9Ns8//zyPPfYYcOQSVuVPfPm6SUtscwk7Lq7//ve/v7IfPEt8XHH9rdktfnLtJ2suVctwRwAE1M06ruESpuHG1f8lBIKO01lz1Do+DqYuRr4szSIvip1kBSoL5F54XNAumacz5sfGws6558nLnIblk5cF83S+Np4lS0kxLxgGI5qdJrq22eXnYKFHAcjJQQdN13BrNZIkJs8yDg+nZDKj7vj4tTqu46Kp1SVLEwoCjaxIadktSlkgJZTf+j7i5k3c233iMsN+/HHk5csojosiFBQhUEUVAGmqFiApypKizEnyFN/0uTs9rVlp2k3GwXQrWTF1k5rlIqUkSEPiNCM40X3qOJ1Ky0JFMjRVRZaSW6P199NUdS0cz7FsXMtCQeHO8LTrW5FV9HI6mRAEAZ1uB9uyCKKYTrNBVmZMghnzhZZp2wpyy6vTGyw+c1mi/NEfIT76CKQkywXKhzeRH31E+au/WglEqLom42mA45jYtoFQJEmWMo9CJnFKklcdiU1QxXYdgF9zdxbKyp7f2TzY/lpNU3fmkui6utWeGap9nh17PAgqg4lWs4m9IB/x8XBDVaV85hmiX7xGVEhQFbpKwUwtEV0X99uPY9o2ilTJ0oJgluA4JpNJtMh8MTENk7pfJ8/zVebLu+98SFkedV8M01wrky1b30lYFEXsdRizTJ0p24+lEJW18y64rrW9q6FqFH/hLzB/+3V4413KImdw6RLlL/0SlDqOANd3UA2N3nCdoCZJwmAwwPN9vFpta0jjcezrjPg1e29mzf0UzsEGO2PXNbl4vrH3tQ86lrll3W73TKYVNo2Ofdm7L/eTwyKEwHVdXNfl8ccf54knnuD73/8+v/mbv8nf+Bt/g8FgwN/7e3+Pd955hx//+Meruu/j4F/+y3/J3/pbf4t//I//MT/84Q/5L//L/5K/+Bf/Im+99RYHB6fJ9e///u/zn/1n/xl//+//ff7yX/7L/Nqv/Rr/6X/6n3L16lW++c1vfuz3/7gQ8mGv1j8l0jR9qAlLWZa8/vrrHB4e8t3vfnetKE/TlH/7b/8tf/7P//kvVfrsSdy8eZM7d+7wgx/8YPW34+L6733ve5+JuH7ZWQFW9o278PPDn/Pf/fy/20lCAA6cAw6jQ5Cgqzp1ow4CZsmMpKheq6kanuFttOc9juNOYJqi45kemlCJi4R5MkMiK3cus84wOq3XOI6uc0AvrKyNj8PWbGzdQZSS3r0B02yK1/RQN+QoCARtp0M/3G5b7Jt1ojSqRsvStOq8xBFFUVTzvbU2umFURGfj5+zSmw9Ofc7qeDSZxbM1t7QlDtwDDmenSV3DajAL5xTHrYsVjZbTQpYQZzGz0SHi7l1EktKoHTBs+WAedSI6TpsgivFsl3kSEKYRhmZArpDm68Vcx2nTn4xpeT5SSEbBFNuwSKP81Gp2x2vRG44ZjcYkSUKn26Hl+/iOx+FweEr/0qz5jMabO3aO5hIuxsfEzZsov//7YJrUNZ1JoVQ2xGFI+a1vUfvBL2OaOqah0xuNN45uNb3t76VqCuSCYssKf7fZPCJPJ6AIgSLUrV0S33OZ7ggo7Dgmgz9+uXKPA+Tly8hnnlnpS9otn8EWAwGAZsNbWTvPZjNmsyntVhvTqjoelqkTnwwmLAqUP/wjxIcfQFFQE5J5vUnxq78KGxZSzndb5EmJQCVNCubTZO1Y1WoW01lEksTEUUVgpJSYloW9GB1rd3zGO0I1Gw1n59gcQN13dlpD+77DdMfjAO22t3N0zTBU0qzYGNK5RLfrMRjO8RsuuqXRH824efsejUZ9FTzruMYp3chxeDVrb/ek2/Ho9bd37qAiHrvMELaZA3z3lx7j//f//VM7t/2gIwgCfvazn3H+/HmeeeaZz3whdFNo5bJee5i7L//u3/07fvjDH37iuqQoCg4ODvhrf+2v8dOf/pTf//3f54UXXuDHP/4xf+kv/SV+9KMf3Vcezg9/+EN+8IMf8A//4T8EquP92GOP8df/+l/nb//tv33q+X/1r/5VgiDg//g//o/V31588UW+853v8I//8T/+RPvycfCV77A8zEiShGvXrlGWJS+99BK2ba89viQpZ5Gq+iDj5EjY8dyZB0FcD/Dvr/97fuej39m5qlyJy1tr2SlZkS3yTyrUjBqe4VFSnuiGnEbH7jCIhshFoZ2XGaNj+hdN0Wku7IPDLEIRyuZsk2UnZ8v7RXnENJySzwpCQlrtJqZu4mguuqIhkWRFTpzFuIa7k6y0rBaTeEIhS4QQmKaJaZrUqZNlGXqhM5qOCJMIXa8sk6vMCx0hFmRvQ+gjQMtuMQ4nG/dxG1mpm3VmUYCpm9i6gyIgzhJ01aC3HA/r91FeeQURhnRTjZ76PorvU373uxjNFg27QZpmVbjlMU2Bq7mM4vXCuOU0UATYwZTR+28BAg662OevEJXrz9UUlckspN8foAh44dmnKSgI45BknJ8iKwByyyRU22swODZiJe7dg1KCpqNLgSskriHI04JZ7yaz5FlmCdQdb7vOZIfgu1HztpICIcTODkfd8xiNtxeVhqbDtq5AlqL8q/8T5e4ROReHh/DRDYr/8D8CXd+7gKUpKlLKqqMVhnQ63bUQuFrNPk1YVJXyT/0IfumbuMGMqaJVY4pbCr55EK1pS4QJnu1gGSayEOiaxnweY1s2tmUjgSxNieOY2XzOeDJmNB5iGhaWba1+H2v7scfpStOUnd8DgGWqO22Vgb3GAL5n09+jxcnygrKQjAdzoihkOBxx8dI5Di60ySUkWb6TrABYlr6XsNyPmH6fc9s2wvLs187tfN2Djvl8zs9+9jMuXrz4uUUkfJzQyoel+7IkYZ+mJivLkizL+Jt/82/y+OOPMxqN+K3f+i1+4zd+g7/6V/8qURTxG7/xG/zoRz/auo00TfnZz37G3/k7f2f1N0VR+HN/7s/xB3/wBxtf8wd/8Af8rb/1t9b+9hf/4l/kX/2rf/WJ9+Xj4CtPWB7WkbDJZMK1a9doNpt885vf3HjyL3+4X3Ydy/GRsH6/z8svv8xjjz3Gs88++4WL60tZ8i9f/5f8/s3fX/3N0R1cwyUvcibphLIs0VUdV3fp7xnbUoTCIB6Q5imKUFYp90mRrI2DdZ3dSfEAlmYyS+fECwvhpejeUE0KmTNPA0pZ4Bn+orOyGWmSkk5SCrOk5bcQYim8P7ppG2rlKDZP56uMFSEEpSxJi4wkj6mbdfrBaY3IEue8c0yiKc1OC78oF6MxEbNZlXdxqX6RG+FNTNM49b20nRbDYLIib8exIisSTN3C1s2V9XMYx5UFcBoRptVx8k2PaVh1pygKlNdfR0QxXf8chzLHkgJ/MCF75wOmP2gxj0LCZL1o69a69MYVeRQIGq6PqikE85D4Zz9FuX4dJasIR0sx6T/dg+eeW9uGZ3rcvHWLpu+iuyajhTbmwGtzuNCuHEfd8RhvsSXO8vXjYioKPjmaVjApBJFYRASqYvX9uJZ1yl55CU1TGe8QxZf5dt1D3avt7Ayoyu7f3C7ti/r++0zu9quRtmVhUxbQ6yPefx/x/HN7OwazecR4NCJOErrd7qmVzLLYcT/xfewnLxPs6OBY5mkhvJQwC0NmC7vpRt3F8EtqtoMqNJK4YD5TMAwD3/fx6xZ37gwr7ctsirIItFxlIiniNKk69VGdnTk2cH+2yrMtOTor7LlEK6pYdcyW+U5VxopG787C9KJbw3RNVF0jSNKNI2jbHOOWuC8xvbs/ZHObTuZhJixLsnLp0iW+9rWvfWEj5ttCK4+PkC2f96CGVi7rsU9DWObz6hxcuoQ1m03+yl/5K/yVv/JXKMuSa9eu8eyzz+7cRr/fpygKzp1bPy/PnTvHm2++ufE1d+/e3fj8u3dPO3B+FvjKE5aHEbdv3+a1117j6aef5sqVK1svHkKIlY7ly4ylS9j169d5++23eeGFF1bhVWeJjyuuD7OQf/rKP+Xtwdun/h5mVeGhCpVz7rlqVTndvVbZttuM4zHFYpm8lOWaIH05PmZq1lonZROaVpNZOic/pj8pZbHm+mVqFnWjgUDQdbrERUKQztc6FGmYEk5DdM+g7m4WANqajUBZEap0Q1Bl1+kyDIdYuoWpmmiKikABJKWUGIpOnKc4pUJeluS6hakZ1NxKN+IIl1vD28RRRCkllmXhWDaO49J2WkT/f/b+NFbSMz3vw3/Pu6+11+md3c2dnCGHGlKjoeK/pEkQG7ESb7Ac2AjsGAigD1GQDQiQwAgCBEEMBDECGAg8Y0RSYskYB1bkKF4mkkczkS3Dlof7vjSbZC+nz6l9fff3+X94q+pUnVNLk2ySTbIvoAfDU1XvWst9Pfd9XVcU4hkuqqLOsluK3A1N6IRJgGs4hGlINPvnGS79eESSrRY+ju4QxgnpfKSs10OMRzSdKkiFstAYknLom9DepxILusdtli2P9qCHa9rYlsU4nNAL+jScOuHV91Deu4o0DHBcVAnBKEZ5+23yeh3ZaGAZJrZh8N7774Gi4DjuguJpirYxK0Vh/Q+k73iMRlPKJQ/DUAmTiPG5GvEHCntxTKAVehWyHHKJnH22HMvemGlR9UobR7pMQ6e3wXFsfg6boAix0a0MCvevbZa01f0b9BBHZAVAUYEYceMG5W89vXGMDcB1LD744GYxktFsoh7r3iqK2El4No3BzeG5NmG4uYOkKkXnI88l3eToO0MxBWXXxdQMdF1nOvVxvcK2O4ojgiCg1+uR5zkl32UyKTqUmwonZQcxLDow27snlmXsJCy7gi1Lvk2/P2U8HjEYDmnU65jmquFAnrMIbARwfRPHs0mkZDAuFh12WRXfnph+N9aRnlrVZa/xxbSgHY1GPPfcc1y4cIEHHnjg8z6cBXbZJt+toZXz4/okhGUymVngrxHdK4rC008//bG3fTfjHmH5AkFKydtvv821a9d46qmnaDabO1/zUUIVv8gIgoArV67cNeL6w8kh333huxxOToqkl+GbPt2wuyiM5zbFucwZRsNFmOSyrmUTBIIkT2gPi26IpVl4hocEgiWS1HCadILO2m7DHJ7hk+YpnWO6FkUolIzCiazb6xGPE5yqg2Eaa7fjGyWiJCLeYrfctJuLjJV5ivzK406T/cOriPffL5LiJciSj7x0CVGt0rAadKZd6rUqUCOKI8IwYDgZko5TDuUhlmVj2Rb6UoG55+6xP1yXzeKQJPkJsmJoRfZGnMXFtbUcGAaIRKFrS1IxK94FoAj2Qp1b4z4s/agYqo6ju2ArDMMxk9k9qdhl2sMeys2bxXK6VZCEem5w6Kio/R61Tpf0gfs56B7SPohQZwGdy+/FilOm3eufOKeS7dIbrhJiw9DxXQdD1QmTsLBonl/6s2fhwgVG790AuWSq0GwiH7gfRYittsLbRmtK7nrrZCgsngdbCEml5G91B7NMc2thqootBYuioG0pIvI8p9/rIvOcZrO5tvgpl5yFvmUdNFXZqgmBYhJvG0olZy2pyqVkMFt5dWyLTIvwyw6WbpImLqNhSJLkpEmCbSvc3O/Q7/XRDX0h3Nd1YzE6tmv0qVxy6OzowOyyCN6lB4HCBGE0GjIajWg0Gpgzw4dlHA+unIwiJjOipOoKp8+UiVLJOEhmYaMncTvF7HjHsW7SyXxRuyvD4ZDnn3+eixcvcvny5c/7cLZiW/flbhodm1saf5Iu1XQ6xbbtT0R6Go0GqqpycLBq+nJwcLAxu+/06dMf6fl3Gl95wvJFcc9KkoSXXnqJIAh49tlnb9t/e5OD1pcFcRzzzjvvkOc5f+yP/bETOp5PiuPi+tv5onmn+w5//82/TyYzdEVfcdFaRsNpzIjDUYWyXLALIahYFVzdLexgtxQynuGR5TmD8GhVO0xDwvTox9NSLWp2jThPcDR7JXRyGRWrxjgeLcjSMnJZ7CMaxUzCMaVaGUPXcQ0XUzVRhEKaZ4RpgKXajKLhUTfiGBQhqFi1reNmTadJq7+PeO01RL8Htg2Kgmi3UccTSs/8HO2sIFVy9r+6rqPrOpdP3c9Bv4UIVcIgYDgcoGkalmVzvnqOg1HrhP2opVvIjBVjBEUouKaLp3skaQwUQZPhOMBwLXTLJptOjoiJlNRGEYeVCrhu0flyCwKoSZ1bg9VRPU2oRwV+HMNsZduXCqmU7CkKfRXa0Yhpa7/Yr+FQ8la/AwxNpz9cX8xrigEEhb2xbRKnEYPphGkC3UFyMrtCKFT+rT9Od++NIpk+z5CnTiPvu6+wjC6Vafc2BEzaNsPx5qI83JLZUS15dHubi+Bd7mDTNe5MR5AMzt0HH9wsDATmP/ZZBgjkuXOMNriLZXlOu92i7Hk0Gg3EhmJnndHEMkoldyvhEkIw3ELYoOhsbINjm0xnY3Gj8YTRzBxYqIJSycHS3ZnORyeKU8IwIAxDxuMxAoFlW1QqPtOJRGzpsuzswKjKTktkxzG2EhaJZH//kNF4PBu/O7kw4nnm1i5NluTEYUr7sLjuftnGck3iLGcwDhffq9NgOxlxHXOt+9cyNulkHvkCEpbBYMDzzz/P5cuXuXTp0ud9OB8Jd3No5XIGy8fFeDzGcZxPVL8ahsHTTz/ND3/4Q/7Mn/kzQHGdfvjDH/Irv/Ira1/z7LPP8sMf/pD/7D/7zxZ/+73f+z2effbZj30cHwVfecLyRcBxEfntuD/Mcbsp8F9EzK/LfKzh0yAry+L623EC+5c3/iXff/37Ry5UM5tiUzUJ03Ax9tV0d2tMNFF8PG+MbgCFDsQ3fQSCcTImnAU7LjuBbYKiqLiGx83xzcXfDNXAM3xUoRBlMeN4RM2qFyRqAzvKspx4EDHNplQaVVRVQSIZx2PGHBWaDbvBIBzi6A6GaiwE/XEWE6QhEomneXQ3BEIioeEWls2i3UL0+1CpLEZ5NMPCa43offAWPHRyVrfpNGmN2qiqgue6eK5LLiVRGGLnNm9dewegEO3PXJUszcQSNmjMLIpnGSzxFE1o7A9WuzEKCrZdYvjg/ShvvFEco6ZhRSmp5tJ48pvEXolBMKI97lB3arRHJ13dqk51YXcsGw28W4c4UpBJQUdJizwUAaFl0e31uHzmEvEaEli2Sic6FwKolUsIwHb14j4t5fp4hkswWX3NHFkukPfdV5CUY9imB7ANizHrCzvftRlt6TAobP4h3xZeCeDaNpMtNr7lksfgvksoVz9A7O9DMv+8COTZs3hPfo3RmhG3dJai7roOluVtFMrDejvb1XPY/v1R8h0GO2x1d+3Ddcy1xE1KuSAwhqGTaSm1iouplYijjMEgIAwigjAgDMd0uxNM01x0X46bl+zsNpRser3t55Ju0TJJJNPJiOFoUpCVDRbptm3sHCuLlvQ6o0HAaKaJ0U2VUsVF1VX6O/Qrtq3vvPabnOse/oLlr/T7fV544QXuv/9+Ll68+HkfzifG3RRaeSdMkMbj8R0Jjfwv/ov/gr/yV/4KzzzzDN/61rf4X/6X/4XJZMJf/at/FYC//Jf/MufOneN//B//RwD+0//0P+Xnf/7n+Z//5/+ZX/zFX+T73/8+P/nJT/je9773iY/ldnCPsNzlODw85OWXX+a+++77WDaCX9YOS6vV4qWXXuK+++7jzJkzG10tPi4+ql5FSsnvvPM7/NOr//TYA6zoQmzdpmpWibIITdVI1zg5ATiGA5IVjUqcxXSmRyNaju5QsarEabS1+6KrBo5m0wlWOxlxFq9YGe+5p4nSkLrTQMqcSTJZ6dAkSUI6SAlEUIheNxRfe3aTw9mI1/GxKgBTM7EUmzRPqdlVVKEuBPjzTBRbd2jPtsE0AOSCrBhSwUKnbwnEcHji1Odk5Tg0ReNM8yLTOOJr9TpJHBNMp4wnE4bDAZFh0VUH2PbqXH/drq8ENc5Rs2u0xz24eBFpO5T2D7DGU9JzVdpn96BswUwIb2omw8nJ4q1sl2gNeliGie+4RI8+ynj/Gla7R9c0EVJCkhKVfHqex8P3PcBkTa6JqZuL8EhVVan4LkLAIBghhKA9OEkMNVWjN1q/2u/ZNv3RBvtja3OyvQAGW7orlmExYn1hqKnKkf6m2y3MDA4OQNfJL1+m8jPforulqHTXpNMvw9A00DTyX/iFYrzw5g3mZEVeuoTp2CcIS5wkdNptHMfh8n0XaHc3d0c81zoxmnQc21LlAYwdi1FF92R70ZxtE/0zC5ScaU8GozHMFhpUS+F0o4Qqamiqhq53CIKAIAgY9AdourYgL5WKT7Aj3X6XC5kQLI7jOKSU9Po9LEvQbDYX+UvrsEsTpOnqxjHBJMroHAxpNDySQUCp4mA6JmGcMjr2Xtp1XRVFMFyznzOnypT8O7uY9mliTlYefPDBj5Xtcbfj8w6tvBOEZTKZ4HneJ54Q+vf//X+fVqvFf/vf/rfcunWLp556ih/84AcLYf2HH364cu4/+7M/y9/9u3+Xv/bX/hr/zX/z3/DQQw/xD/7BP/hMMljgHmG5a0fCpJS89957vPfee3z961/nzJkzH2s7XzbRvZSSDz74gHfeeYevfe1rnD17liAIFl82d+J+flSyEqUR/8cr/wcvH7689XmmZqIp2qLLIYQ46r5k4UKUXjbLTNPp2mJ/Ga7ucnN4Y/ZfAt8sYWkWWZ4yiIZkeYqrF4LswbEQw2UIIahbDQ4nJwMTLdXC0R3iKKHT74AFVa+2dpFZIKjbjQVZWX/MDnm+fDyrha8mVHyjxMG4OBZVqOimg56rqLmOgYYAMqAeCdirkTs1oOBslmoRxCEVp0Iuc9I8JZf5ImDyYHjs2AzwLI86DQ56LcIgYDDoo+k6tmVxvnqe9rh3QmzbdJsEYUjTr5HJjJGu0T/doOk2aQ+PkQMJturQP2ZhbGkmjm4hXckwHBMOA1BA+9l/g/Fb7yNvXAehMDldYXTqNM0zZ2GDLXbVLpEN9slfe5nh4S16lom8eBH70cfpDNff+6pbprXGTaw4ts1dEteyNxbNVb9Ed6NoXa4ELh5HxfcLQtDtov3+76OEIYqqIKIQXn4Ro9dB/86/BRRdPZkfFRwA0x0F9IJMqCrygQeQxwTEK2GPLAcT+vieT77DTdK2zK2ExfdsRuPtI1LTLQ5nMOuebBldUgS3YUVsrCUKWZbTGwxnZi0KTkXh9Nk9kArDQUi/PyIMQzqdDmk6IYpYEJh1Bd2u+1Eqre8mSSnpdrukacL991+m39sVXLnDNtmz6O4Q0xf7hWFvCrOukGXreBWXHMlwEu0kmyV/fejkIw9+ccbBut0uL774Ig8//DDnz5//vA/nU8fnYZt8JwjLdDq9Y9lyv/Irv7JxBOzHP/7xib/90i/9Er/0S790R/b9UfGVJyx3I7Is45VXXqHf7/Otb32Lcrn8sbf1ZSIsyyGZP/3TP02lUgGOvnTuBGH5qOL6ftjn11/+dYbxkIpVYRAN1tpkl4wScR4zio5WaKWUK0RCV3X23D3iLCbcIlJXFJWqWT02UiYZRUNGM9IjhMJp7zRSQpIXFsPpGi2Npuh4hreS9bKMMAvpDrvk4xzhKcVYjGbhaA6qopLLnDAJCdOIslU+6oqsQcnwCdN4rUsYgK7o2JpNLzzqZmQyI6uViT0Te9Al8ypMlCLAECND7vnI2VjZntvk5mB/7bbnifTHoSiCklGmN+3j+x6+X2iBojDEyi3eeP9tFCFwbIdGuU7ZL2OoBu1RlziNV8ar6m6d1nGyAjS9Bq1BcU6OYeHaDlEaYakW+/2TpgyV5nnaukv++GN02h0kUG/UOVVq0h70F8/zbAfHMpASDt99A/Ev/gWEIWg6Ipgiej38Ycj0ySdP7EMIhdGajg8UK+O9DVqYQmy/WWMil6idoghMU8fQNTS1sNxNkwxPmCCLe5vn865ajjByNCdH/tGLSMZkVZv5N5eSpvQOPiTdv7pwKZtPjwlRjIPF8RS7rKCq6swNTqAIBSEUNEUjiTMcTydNc5I4I45S0tnqvGObjJfIRBAEdHtdKpUqruOgqAqDwfaiN463j95alrGVsNjWbo1EuuO7vFRyt1pCA8TJ9uMsiMQEyGjH/cXf9856WGaDLIE4Srh5s81oNKLX7WGYxoy82GiaVoxP7RjTMoyTRZuUOZ1OhyzPaTSbhMGOYy3bDPrbCYu6Q/MDcq3bWRgkhLMRy3LZRtFVNM9iHK63Tdb19UXoF0VwPycrjzzyyKfisvlFwCbh/nIXZv68j2ubfKdGwtY5hH3ZcY+w3GUIgoAXXngBVVV59tlnMc2TjigfBV8WwhLHMS+++CJJkpwIyVwOyPy4qx8fR1z/4eBDvvfi91aE7pqiUbJKKEJZJNPX7Tr9qL82XX0ZFavCjUXHpBDSW5pVrOBHhQheV3Uc1aGzI6+lbtc4nLTIF0mBAt/wsTSLXErGSSGw1YS2Mna2ek1gMpyQhxlm2cScOVcdF/Prio5v+CRZQt2poQqVLM+IsphpOiXPcypWhXE4Jt2QXGiqFrqirWTJLODYWI8/Ba+/wWTUnbloWcjLl5GNBlCQlXXBj1C4orVGJ8kKQNWq0RmvkgxDNzjjnwIpaDb3GI6HtIcdPjy8hnl4gKJp6LMCTZ2931zDZTA+WeT7hkeaZjTLNabxlEk0ZTqa4lv+QreyDM906Qz6pFlGp91G0zRqtRqaqjOeTil7HoauMY6mjKMR4xgaXh3eeLMgK35p4b1qhTHdK1fgwoUTaeo1r0xng2i+6pZpdfprH1sW26uKwLZMTFNHUQSKqpAkKX7FIExikiQmyGKC2S1vaFXaG7o9uqbR7hdkX711cCSInx+TqtEhg3YbjhVTUoJtmow3COYBmtUq7eGxc9JBszVMQ6fi2TiRjoKg3x/QH445fXoPVSlGtColb2smiaFrW13TYDehcV1r65jV7Vgm7wyD1LWd2zD09WXBeBowngYIUQRXXnygia7qjIchrdagyHwZDlFVlTNnaoSRLDJfNnyPHs9wyWVOp118hpvNJr5nMdkRBmkYu0uYXSTQ86ydGhjT0DhsHX2+Pd/C9i2SXDIYBYXebc39VRTBQ5fvfv1Kp9PhpZde4tFHH+Xs2bOf9+HcFdjVfVm2TZ4Tl9upP+7USNid0LB80fCVJyx300jYfIXj1KlTPPbYY3dkbvLLQFjmoVWlUolvfvObJ8SfyysiHwebvoC24cWDF/k7r/ydE92CNE/pzjNQBJzxzpDlGZ7hMQyHa8XsiqJQM2snRPjjeMw4LookRSjsuXsoKEyTAIHYKIxvOs2Z89by45JRPCrcxmAm3lfQFQ1bbxKlIaN4vNimzCXj4Zg8kTg1B31DEWNrNgrqRtKDgFPeHlGaUHEqKAhyKUnzlCRLiNIIQzWRs/NdB8/wSOo20U9/EwZ9RC6RJR9mWQzNrWSlQXt8kqyoqsqe0yRKYppeHYRYHI+maHSn/aPVbAHlcpl6tQ6poDvsMRmP6fd6GIaBYzuYrr1wQzM0A992ERT2vr1jQngFgUxZ24nThEEcj2i321i2TbNep+L5mJrJ4aDLIAhWQtxdw6HTbqN0O0UY4tLb1tdsWsEQ0ekgjxGWzcWzPFH4m4aBbRtomoqmqpQrNlESE8YR4yRhPFtsblZqdDcQEk1V6Q02F/xl16Pdm71W1yBdXcEWi6CZ9e/DcI2uZxmTYH3HMk1T0jRFVVQGownj8YjRaES9Xkc1QVNzbNPEdhQahovMII4ygklEuqRp8D2bzhZ9i66rOwlNvkOLUS65WzNi4ORY24lt+NuPE3anvZfLDv3+hDg5el79jIvv7JElktbhgDyX9LrdIhPJtLBsa0bwi0Kt0JUcvc+yvCDoiqJQr9cRQsFxzJ2EJdoRfmnbOtMd27gd0X58zJ55PAoZz/QqmqFSrXugCAxDJY6PnnvxQh3Lun2TnM8DrVaLV155hccee+xjj55/FXCnQivzPL9jGpavGr7yhOVuwYcffshbb73FI488wn1rXHk+Lr7ohGUurr948SIPPvjgWiIx/9vHOc/lL53bbe/+v+/9v/yjd//R2oJz+Zjqdp398dGIkq4WnQhFKIzi0axYN7A1e+NI1hwls0Qv7C10LZqqUTJLqEIlTEJG8ajQkDgNWtPt7mNVuzazG14tWlWhFq5haNy6dYCGhlEzUdX118Q3fOI0IUg3F2JNu8nBuMUmVwDP8MkziRBQtsqoogh1FEIp4kxQkUgyNcM1HKRfL8aOZEGtXN1hGgdUnDJCHt2/ORnLspymV58J+jOSLCXKIqpWlf3hGs2OZpEk2YnRGzE7317Sp+T7lHyfLMsIwxBbWrQODzB0E9VUidSQKAvZc5uMwpPXpu7VFyn3K393a9w4PGQ6HHHhzFm8kstgOmIcT+iNhmRrCLmtW0yUaWFIsOQGaEjozHN2jhX5FbdEf814k6YpNPwKaS7xPJM4S5hGIVE6JQqmuJbDpL95VHG6gRQAVLzSESFZg2XXsfzyZZRXXy2CKlUFTUIvigvtyYWTc/WObW0cb4PCQGCb/sAwdIbjCYNBnyAIVtLr0yxjNJ0SJwnRMskzwDYMLNNCFSqGquH7heg/XxOkUvKdrURBUcTOfJZddsaWqe8U/e9aiCmuxfYRK30NaYyimGhGGnUXKmWfvdM1RsOQw8P+guDrRtGZPHu2zmiUIhBkWUa73ULTdGq12uIYNzluzaHp6lqR+zJcz1w7vrWMXWN2mrbdnjmNM7IopdudAJJS1V0I9x+9y/UrrVaLl19+ma9//esnEszvYTM+SWjlnbA1nk6n9zos9/DZI89z3njjDQ4ODnj66aep1Wp3dPtf1ODIdeL6TShEoh/dDe2jiuvTPOX7r3+ftztv03AaTOLJIoxxGZqq4eke7WNjW0mWHHVfKKx/VUUlyqKF7e861J063aC7QpBWOjmAbdiUjDJZnuLp3oq2YhnbQiMzmdEedwj7IVKT+GUfQzNwDRdd0ZEyJ0wjJsmEsllmHE82upwBNGe2xJtQMsoESbDRXKBkbn+86TS5OVyvWanbdW4ND9d2oZobRsRUoaKhMz6RTyNpxhqt915CKCrmmbO4lQZCCAzVYL93iG+rhFHEOBgThCG+5tFvDbFsC9M0Fz9QnunSOTaapCgqZccjmEwZj/s4ZZdUy+hPi9GrQmN00qXMs9xixEpVyc+fR3nnHdAN0FTKuUJrMilG546HeslC5+G7NrquIskJkohJOCWSMb3R+lExx7Q22gaXXW9rByHd0j2wTJPB+Oi18vHHka024vAAYqhmGS3dJP+pn4LSST2fa1tbxeqOZW0lLL5j886tD4jjuHCkOlaQlzx3rZA9iGOCOEYRoAiVNMsQlsC3bUzDQEiFKMyYjiJ2ZaSXSx69LfkzsNthzPNswh0dh13b8H2bTmf9/Z9jVwfG82x6/SNyVj/tUnb3SFNJ62DAcDjh4NYthsMY0zSIogjTNKlWj8iKotxGMr1v0elu71ptmEBdQFFgONhO0Hzf2mnPfFSAihXh/iN38TjY4eEhr7zyyj2ycgfwUUIr0zS9a2yNv2j4yhOWz3MkLIoiXnzxRdI0PaHLuFPQNI0o2t7uvtswF9e3Wq0Vcf02KIrykQjLRyUrk3jC337xb3Old2Xl767h4mgOSZ4wiAbYuo1AbB6RmmEu0J+HSqqKStWqogmNIA0W41F7zh6H05PC7GVYmoWKxsH4KCdkNWMlYhgOabp7tLZsK4oikkEClsD3fYSAJE9OnEvDbhKnMRWrgkCQ5glBsqpraTrbc2YqVrXQtMy7PNMpotMtAgpLJcqnLjGJp2vDKxfbH6/vStXsGt3JYC1ZqduNtWRFICgZJXrT1S6Aqeo0XnuX/K23aSYxEyUndF+n+9jjuA88Qm9U7EcoCrZtY9s2e4pGGub0RwOGwyFpmi7yLBzFIc9zXMvGNi2yPCu6KMMxH9y6Tq1Ww7Ksxf5LlrcitF+GoZgwswiWjz2G7PcR7TZGDr1MAcskf+opFNvGdRwsQy/C/CZTMjWiH0YsOwx7pkNvuL5YLTJQNhTUaYr54suob70FaYo8fZr80UehVALANq3NrwV821mIm4HCxvjf/A7ixg1ot0ltl+zUaShX1r5+1xhUsGVcTErJ/v4tkiSh2WyuLSTMHVbDZd9bjLtJKRlNp4ymRwWuYimkakDjtIOQCmGYMRmFK50YbUMXcw7H3u4OBqzt7CzjdlzKTiaIruJ2OjD2MReyJElo9/tA0X25fGoPx7Q5POxz/doBEgiCkFx2sBe2ySX6/e0kYVuo5exkdh5rqeTs3M8uXRCsD500TY1Ll5o7X/t54ODggFdffZUnnniCvb27l1R9EbHcfZnXJMujY3OykSTJx7ZNnkwmd3xx+4uArzxh+bwwHA55/vnnqVQqPPPMM5+YcW/CF63DEscxL7zwAlmW8eyzz64Ub9twu+c5F9d/FCewW+NbfPeF757omEBBZCZxscpXtYpMEUQxk71cwC9jXcJ9lmf0llbRHd2hYlaI8ghDM4jT9UWXb/jEWcI4WR03Wc5YUYRC090jzZOZC1nCKB6RLZGByWQKY4nwVDx3s11iQUTaxYTXsd9oVVHxDBdXc0lkRsNpkOQpURoWIZezy1y36vSC/qKjJG7eRLz9NiIMkUBNWgzO3yJ97FFYU8htIytVu0p/OkRykrzWrCrdNXkqAsEpt0mQxDS8ekHUspRpMsX6cJ/Dt14hMw0o+YBEjMcYr76GrJ8lM09+hfpmiW7cp1wuUy6XSdOUPMkwMo1bt26RkTMwVGzLQtd14mlMr99fGUWaQ0Fj3Tidb/t0R0vkyrLI/38/h9i/SXUcERsGyv2XCV2bcTiZOchBw68xidYXcZZuMd6QkVLzyutHuvIc45//cwbX94vlaiEQ776LevMm2Xe+A+Uyvu0QHNPxLCMI1xTiioK8cAHt8mW6qYQNxfiucTDbshhtyIXJ85xer4eUhch7U9EwXXd8S9B2fHeXPOcEYVNshZJtY+oGMhWkyfbvLte9DTvjHSNlu1zKgLUp7cu4rQ7MDheyLM+4tn+LdrtNpeFz7uxZsiTn8LDPaDih3++TZVOCUBafEcNArOlQ7RLTl3xnrfvXMvQ1TmXHsStvxrLW62QeeODUxnHazxP7+/u88cYbPPnkkzSbdyeh+rJg/p2iKApSSt58802CIODhh4uw449rmzydTu9pWO7hs8H+/j6vvvoq999/P/fff/+n2uX5IgVHjkYjnn/+eUqlEk888cSJ0YxtuJ3z3GRNuA1vdd7if3vpfyNItv/w1Z06vaC3MtblGR62bpNkycLuuOE01hKfZeiKjqEaR6n04mhbWZYxiAdkeUbNqjFco0VZxty2+GRnpXANM1WTbq+LOlERZbFwAluHpr1Ha7xdHyNQuTk+OaYlhIKlmVStKnEWU3fqAOTDPrzxHlkqict1PKnTTcbI69cQZR95LLhsG1kpW2WG09HKPdCEiq7puKoLCGpuFVUUwv9M5kRZhKu53BqdPC9DM0iuXi2oz4I4C6TnU2mNOPzwKjz00Mpr6m6NzqCPqZv4loMQgmkckEtJHKV4lkIYhgRhSKvdBinxdQ+/VDrxfq+5lUUY5HFos69uBYHnOpiGXpxPyaUVJyRpCqQwPSKylmFuzGTRVI3+hhBJ2CzSFzdvUrt+k5ZpHWllpITpFOXNN8l/5mcYb9G2eI6zYid8HGXPo9PdXCDvGgfzHJtgTWFb6Cba1CtlVMPa+D3g2haTHdkooy3uZMBaw4o8zxlOJsAEz7EZhyFW2cCxbFShEE5TxqNo0fBIdhCa27EzTnYQieVAyU3Y9UulaepO4qQohXbC930c16M3e49bnkbz9FkMTSOYRoyvt2m32wghFnkvpmWhCAXHMZhOtxMJ09Jgu78AUbj9mhimtlOQ73nm2lG8Rx+5+wTsN2/e5M033+Qb3/gG9Xr98z6crwyklLz99tu0222eeeYZbNv+RKGV90T39/CpY/6mvXbtGt/4xjc+k1asqqqLD8HdjMPDQ15++eWt4vpt2DUStuynPn/+Lvzh9T/k/3nn/8HVXSzNYhAN1u6j6a4ff1p2+TJnxXqap9iaTZCuLwzWJdwjV7clhOCsd5Y0T/EMn1E0JFszrG3p9sy2+GRXASTDaEiv18fKLfSqgW1aeIa30KtMk4BpMl0YCGwb8TI0A0u1NuwLJDme4XFztEpmxI0PUJIRslqlnut0RYw0DPQgQr3ZggceRRUqQggc1SFMI6p2FcFR30EisTWLSRRgGzZZXgRGpnlKKlMsYTGIRmu1MHWnTmt0UgAvhMBWbUbRFHFsJKQpDdqqPBK5S4lvedimhcwKq98gDomW9AIVs0KQRyiKgmPbWEHAYDLBqZ5iKiST4Yh+v79wVLJte61WwNANqm6JPJeUfYdROGEYDhejXc1Sncl0/XvLtzzCDfen4pRo9/rrX2e7DMcbiuF2m0iyKuwXAlQVcesWZc9nMNxcSNuGyZjNRXKWbl+ECHaMSUVrxsWSNC1c2EyT5l5zq3uZY1lbV/J9d/eY1S7CY5sG40lIGMeE8dHxaq6K7zjoqkYSSRRFbBz7WieEX4aqqjtF/ZsCJZexa8Sq7Dt0eptZQhRFDAddSqXS2oJrNJ6gGxpJknL6fBXfdQgmMYeH/WK8stvFME3Ona2TpvnWRa1dJE831J0dGN+36ETbtUWbcLcRlhs3bvDWW2/dIyufMaSUvPPOOxwcHCzICnyy0Mp7tsZfUXxWGpYkSXj55ZeZTCZ8+9vf/szY8d3eYZFS8v777/Puu+/y9a9//WPbKm4bCfuoehUpJb/99m/zo/d/BLAY+VKFStUudCbjeEyUF25T2wp5KIp5UzW5taQxmWtfUpkyDAvCUbbKTJPdCfcNu8HN0c3FfwuhUDbLGKpJkseM4zG2bq8dFZsjy3MGnT62amNULVRVIc3TE3oVUzWpmFUymdFwG8RpzDSZLCx8ASytWBVem6Eyw56zx+G665RlgKAhbTpECxISawLSgHx27ZtOk/3RrZOvpxiLa4fdtdfN0u0iKHDNYyWzTH88YN3IVWNGZES9jugPwJEgBCWpEsQJ9VyF5lli12ccTRjFI1ShLYTyK9ty67RnwZF0u4gXXoRul4YE0ylhPfYI+aVLpGlKEARMJhPyaUY76VIrV6lXK2iGRpCETKOAMDEZTE7e18Kad31xparaRjE9cntRbeomow2kwjdMhopSdFWWP1dSgqahq9t/YrZ1JwzdoL8lpNK1TcYbyBkUYv7hse3HcUy708F1XaqVysZxsTmieIdtrrl9zMpz7K3HCJtHqNIsozcaUav49IIRiiUouy6GppNEktEgJJuZGewajyqXHLpbiARAvONcixGrj68rCcKQXrdLrVrDsjbrNcueTbs7Io4TOnHREfSrJufvq4MUdNtDxuMJrdYATdMW3RdjKfNll7MXQMnbLdrfXR2sD530fYszZ6prnv/54Pr167z99ts89dRTX0ntw+cFKSXvvvsu+/v7PPPMM1vT6T+KbfJwOMT3/c/kHO4mfOUJCxSkZZtF7SfFeDzmhRdewLZtnn322RNz6p8m7mZb4zzPee2112i323zrW9+iXD7pAHS72ETMljsrt0NWojTi11/+dV5tvXrisUwe6UwMzaBmFl/8FavCIFwv8vYMj0xmJ4r5Ze2LIhTO+mfJ8uI4NxEWRVGpmJUTBEnKnEF0NOpTs+tkeUrJLJHrLqN4TJwdFTRJmjLqjrBNF8s3NxYZuqJjahYHk2P2vwJs3cbSLEzVAARBEqCrBsmaFPum01xPVgB8n0Zm0krGoM0/FxIRx+QzZ7htY2Cu7hKl8dprpqs6qlSZpCeLLFu3CeOIbI1bWsNt0Bp10RQd96HHsW62oTMks23SLGeShoxPN8mrNsxE+k23uTbl3lANBuNZ0R2GiH/1r8iHQ4Tj0FRsWuEE5aWXwbSwz5+nWa1jaDphGNPqtehPehz0b6GqKpZlcaZ2iv54xLq3cc2r0Oqt76DU3DKt/obH/Ard/obRM1WjvyH1HsB88CEmL78KcQyGUZCWLAMpEZcubRXbV/wS/cHmbZdch/YWEuxa9vbuh7Mq5g+jiE6nQ6lUwve8Igyyv+XcDIPhDkIT7MoBsbaTKl3TdpKmRREj5dF7CVDMgsDYhkk4yQjDzR0YZYdAXdc1Bju6DZaps+WtAGx2IZsGAb1ul0sXz5Nsv2TINYcqJYv3kmoJyk6ZM+eajIZTWocDut3CRdG0LGzL4szZOoMtFtxwO6J9do6DFWN0J/fzyF3UXbl27RrvvvsuP/VTP0W1eveQqK8Crly5ws2bN3nmmWc+Ukdkm23y9evXeeONN7hy5cq2TXwpcY+wfMqY54hcuHCBhx9++DN3JbtbCcvcIe2jius34fhI2McR1/fCHt99/rvcGN3Y+rw5CVnOTtEVHd/yUTjKWKlaVUbxaKvGBGYdk/HNxUK/ruqUjBJCCCbJZEYGioT77nR9YvtiW8u2xUu/tY7u4ug2YRiy39nHdV0M11xb+MJRIOQwXFMwSopjUnQ6UY8kPyIpuqJj6za6oqMIBUPRmSYhnu4SZtGJa1E//witazcRt24hNQ0UBRFFSM9DXriwlazYmkOW5WsNCVSh4mgug+Dk8WuKjiI1gmSCoRtYmomuaShCQVcMJtEUQ9eJ05iBrTD49lOIK1fYuzWgawrkpQeRDz64GIPyTY/OqL/2GD3DoxsVjyXvv482HILvU9ZMglzQ9ErQ6xNc+5DB+dP0p32aXoNhOMK0LUzbQkpJGEaEQcD+/iHTKChWlW0ba2aZrAhl49iWIsRWYfq2sauqW6K1YVRMURT6lk3+xBMor7wCc2csRUGeOkXl6Z+ms6VzoynbBc/xDs3FdIf74bLuZl4wV6pV3NkqpyK2j4X67vqxvDls09h6XYGVcMV1KPnuVo0OyM2mATMCY9RU+uEA1VaouIUFeRRmjAbhYiFul5i+7BddjW3YJaZ33fW215PJhP5gQK1ep1Ip0WptF+1vss6eo1RyGAymzBNUq3sul/zTZElGqzWg3x+TXZsShhLLsrEsC03XTgj3d3WlPM/cSVgsS19LWB579O5Ii//www+5cuUKP/VTP3Vbbpv3cOdw5coVbty4wdNPP/2Jx7fm3Zf9/X3+7J/9s/ypP/Wn+I//4//4Dh3pFwf3CMunBCklV69e5cqVKztzRD5N3I2EZTQa8dxzz1GpVHjiiSfuiEPa8kjYxxHXfzD4gL/94t8uHLWcJpNkfcbKJhKS5And6dEK+1nvLKlMcXWXYbQ+4X6uDTluW5xkCZ3giJjU7Bq6MEjzBEMzidP1P6LbLJCnyYTWoEUyTLBLNq7rFnoVVSeXOZNksnA1u51AyKpVYRSP116HJEqKEEu7xo1jmhVNqBiaWRA8wydKI+rf+nnElSvw4QfINCG9dIns/su4tTP0wyGGZizuZS5zJBJDMVGFyjSboioa6qxoV4WCKlRcwydKIupuHQWBEIXWJZcSBYVxNEXRBHEeEccRxIXOiFwQJccIUKVC/ef+OAe9VtFBWNI/KUJBZmJthk7dqS4yV5IoweoNqaOQGwYih66aMQawFeSoB0hswzpBfoQQ2LbF+cYZ2oMBTuwShCGj4YheOpvpr59mkgRrHatqfnVhKwsU3Y8PP0S8/z7+NGJUqRfmAWsKmnUOWYoQaLpG1fOZBCH2t55BfeAS6tWrKFmGPHMGefkSpmHTtE1YeveLxf9KBFCv+YBAypw8L+5vnuUoikowjYv7tqZp4NoW4y3jZMvZLuPJhMGsYLZnCyNCKDuT53cFF7qOTbDFUtkwtJ372OR+NofvuTs7MOmMcGZ5vmKcoHsavutgqibDQchWfrfj+1HTtZ1iets2TpCN8XjMYDikUa9jmibBDqG859lbTRgAjGMTCnkuF8J909V4YO8MtmnSaQ9pHRbW4qqqLEi+aZh4XhHyuet8dhGWdAPZf+Thz7/D8v7773P16lW++c1vfqLphXv46Lh69SrXrl3jmWeeuWPj/wcHB/ziL/4i3/72t/nf//f//VNzlr2bcY+wcOdHwrIs49VXX6XX633iUadPiruNsBweHvLSSy9x+fJlHnjggTvWcZqPhH0ccf0Lt17g77z6d06MFTm6g6u7RcZKOCgcvoL2zvdK02keOXwBmlKk0itCYRJPCNJgY7jkcZTNMqNovDJq5eguru6Qy5xRPCbJ47XEZw5JYaOthgpO1cUwdVKZ0p+t/M9hqiY1u0GWpxhKiiKUte5odbtOL+xtDLpUhELFrNKenhyRSmVGmkxpOk2uD68fPXBfvfg3Q9PZY398MokeijErTdEYz8WwMmf5Ld5wGuwP1utdGm6D1vhkl0oRAkspxPnH4ZkuvXER0Hgcdad+YhTM0k1co+gy1Uplbh7u0x10ObVXonMAjQzaytK1S7NFZomjOwRrMnwEgjBKEIBhGBiGQblUIs0yojCk3e0xmoyLmX7bXrKDPWkbLF5+GeXNN0FKrFRh2u7jXr+O+sf/bdRz54rxIQG6qhLGCbplk+QZSZqSZknheEZCKDXG6ewe+Do8+fBiH3Ye0t7SOaiXK3Q2jKgB7FUKBzzUwjZYUws9jKaqKELB1k0c1yDPJXkmSZKUMEoWJMN3Civl0XDIeDym0WhgGsZi+xXfpbdlXE3T1E9MaEquSzte78oGxT0d7NCE2Ia+1ehKUzcTryRN6Q6G7NUrTLIRVsXEs21kKhgNI+LoaLHhtsT0WztBq506SbEwNR6NaDYaGIaBaRk7gytty9hJWKItuTpQaH9a3T4ocPpCtXgvTCNahwN6vR55nnP6VIUwBMuyNhZ+m8jIHIqy3kr6zJky5fJmrcJngatXr/LBBx/w9NNPU5p9t9zDZ4P3339/ce3vFFlpt9v8e//ev8eTTz7Jr//6r38lyQrcIyx3HEEQ8MILL6AoCs8++yymudkm9rPA3UJYljtOTzzxBKePp29/Qsw7LB9lBAzgB+/9gH/87j9eS0KmyXTRZTnlniLNU+p2nWE0JF6j1VCFStkq05qu6jWOp9LX7BqGahClEZqibRwZq9sN+kHvhAPYNJkwnaWxq4pGw27Mnl9nnEyIlvJfpJR0ez0c6aJXNbQ1FqtzeLrHwfjWymidruq4ulM4hwmJhk4n6GwkK5rQ8Ax/5XyPY2+bpoVZp2jDGJimaJiqxShcX8ZtSrEHaG4gK7A5UFJVig5Klp/8DJXtCnEa0/BrCKXojE3iKWEW4Cku+4ND+v0eYRTRbO6h1upo711l3B+Aa4NQIAxAU5GXLlFyShtHy+pudW2ApKaqnD5zH+1eD6/kE0bF6NjcDrZZaTCKx1RKPoahIwYD1HfeItME0rIYScgRTCdj5Iv/krzyC4vV9ppXoTteX3C7pr2ipzgO33S3rqbn2fZicBIevYfTLCPNMsKlGUfHtJkGxwpbFTRDwzQMFCNHUSN0I+eRRy4DCtMgJpuRjF0/+GXP3ep2pd8Godn0GVnso+TSH2zfxrbQS4CS527V4cCRcUAYRYTzNosq8Bs2pmaiotE63E5GdqnPNe3IhUwCw8GA6XS6ki3kuxZRsH1ELtnhaKkb2k5y5XnWIkw0SdKFNbhfszh3oY6UEAURnW6Hfr+HruuL7ouu6wjERjKyjE2hk48+8vmOg125coVr167x9NNPfyWF2Z8nPvjgA65evXpHr3232+VP/ak/xUMPPcRv/MZvfKS4hy8bvrpn/img1+vxwgsvsLe3x+OPP/6R00s/DSx3Hj5r/cwceZ7z6quv0ul0PrWOk6IoxHFMmqaoqrrzXLM84zdf+03+9c1/vfV58+7IivBcgG/6C3viUTTCVE1MzdxaqEPxunEyJp6FkSlCoWJVMBSDICu2BUWHoRDXb+7mmJqFoegnCJKtO7h6oe/48MYH+KqHWta3hpg17GbR7Tm2uyRL6GczYbnT4Na06FxYmoml2QsXqDTPSNJkZqPcP7mDOIYoYq96/mOTFVUouPp6XUpxfJvJSs2pbiQrDbdBa7j+sYpZZRxNqDhltNn7Ks0z0iwhTiOC5OSKccWucDjo0O10yLKcvXmCuq5R/vk/Qftf/AFiMCjGgWyb/LHHkKdPI/L171kFsVLAL0MIhWkQ4Fo2pqmjKgoISLOUwWRIEqQc9m6x37mBZVn4BwfYJGC7NHNBNN+lYSA6XYgisCxM3dyYeg8FYZhsyVcZbRGam4ZBb7xFbO84J9y9luHbzkbtSJqlqKnCG9ffIY5jGs0Go2RGrDQwbQPbNFG0nEbTJ0tzgiBZFLhzyB2jWru0J4qibLVzBnY6qFmmsTPjZddvjK5pDNaNlEnJaDJlxJS9egXFSSm7LprQmIziE0GIu7oeJb9wIZNAv98nDEMazeaK3XKebb+mmro7w2XuILYNm4wHpITBeIIQAlVVuO/yHrZpMh4Vwv12q1XkRVkWp05ViKIcsUXnpGnrSe/nJbiXUi50E3dyFOkebg8ffvgh7733Ht/85jfvWFer3+/zp//0n+bcuXN8//vfx1jqEn8VcY+w3CFcu3aNN998k0ceeYQLFy58buTgOOYriVmWfS7MPIoiXnjhBaSUd0Rcvw55nuP7Pm+99Rbtdptms8ne3h7lcnntfRjHY/72i3+bW+NbNJwGaZ4ugh2XYWkWuqqfJCESRtFoQS6qdhVdFFoQXdFJ8vWriHW7Tj/sr3RMcpmvFPiGatCwG8RZgqs7TJL1RY+ne6QyYxSf/PEOkinDYEi33aHhNjFLJr5ZQldUkiwttCfy6Bj37CaHk+2jacezZsI0IlzS0hiagalYDKIhtlas3GqKipLlyFdfJb/6HlaY0rZ/grjvPPKBB06k2G8jK4oQlMwyvWl/7eN1p76RkJQsn8F0fZFTNktMw4Cy7aOpGooQIARZnmKqJofDDlmeEWWrxXnDbTBaQ05VoRBMQ1qtFoqi0NxrFtsEPNOjlQfIn/95GAwhSwvdiKpS92oLvcuJc/NqtPo9bNPCNAx0TQUkaZ5h6gYH3Q4SyfEavuz4DPIJp06fJk0SwjAkShKMLIMkoYuGVGedyLkt8awALtsuh9H6kS1FiK3dlYpXor8l26TkeLQ2bBvANEzYoU/ZRFhyKZmMhiRpQnNvryBwS4iSGNsyOeyv3jvNUXAsG0MzUIRKFufohkoSb7BK30Foyr5Lb4sDGrDT7thzbcIdHZZtOh4oAiU73c1jaUAxSpdlKwTVrlp4lk2WQJ6yM5RSVRWkhF6/RxxFNJvNFT2VEGJnXo3vW/R27GfX4LYQMNoxZlcuOfQHE9I0W3Sc6qd8LvunSaKUVmvAYDCg251gmkZhbmFZaMcI5nGSC4Wd8kMP3tnpgdvB3D735s2bd3QU6R5uD9euXePKlSt3VC80HA75c3/uz1Gv1/mt3/qtz31a527APcLCJ8tiyfOcN998k/39fb75zW/edYFMnydhGQ6HPP/881SrVb7+9a/f8bnLuRNYlmWcPXuW06dP0+12OTw85MUXXyxGYppNms0mtVoNVVXZH+/z3Re+S2fmtjUf+dIVnZJVrIqM4hGWZhFl0YKUbELVrjKKlkT4AkpmCVM1ibJoYWfcdJq0gtbWX1xNKXQtyxkrlmbjGUVK+zgZEyYBFavKJB5vJEZRFNHr9jldOY20IJUpvXC5QBOFa5hmY6kmw3i8MXhTIKi720MjTc1CE9riWgVpsAjGFG+8gfLeezSFx35JgThGe/sddKmgPvlTaIqKKlRM1STJEppeY3FfpZTkSKTMsTWHSTTBM9yFhFtSdB8szSJJs5lL2ywhGFGspCoqIheYXuG2lcucPM9IZvcryuLCbCCenfuswHUNl+FkvHYUrO7UaK8JmwTwNZ83rr6DaZhUq9UVLbMmtIIUCwGVox81RShMZx0UVdFwTAtD11EUgcwlURKhGpIgmxAERwWdEAJLc9YaOgCoQpvdQ9B1vRjNeeQR1CtXqE9iDmyFPMkQUqJGEfmFC6DrqAgGk82FY80r0x5sLoI1tn/Opxu6RcU5sd1KWLKRrGR5Tqfdxrcdms3mRhewdZ2NNM8ZTovk+XqpRGc6BAWskoljWqhCI09zxtOYNMl2joMdJ0rH4TvOzu7JrlHekuvstF0WO0p8w9AZrrmeQRgSzO5Ts16hrJkYqkEwTRmvsT8eTQK63Q5pmhbjj8cWI0q+zWCw/Xxv5/dhlwbG952dXRpdP7mfLM8XBNP2DRr1MqfPZgz6Rd7LoN9H0+ajYxa+7zJeI9q///49DOOz/Z2dBxPeunXrI9vn3sMnx/Xr13nnnXfuKFkZj8f8+T//53Ech9/+7d/+VBZ6v4i4R1g+AeI45oUXXiBNU5599tmtoUCfF+Zk7LPWsRwcHPDyyy9z//33c//999/xjtM6cb2iKOzt7bG3t0ee5/T7fVqtFm+++SZJkjA0h/xe9/dAOzlKkeRHzlx1u14EORplAiVY28WAgoScEOFLVjJXDNWg4TSIs7ggMRscvkzVxFRPjpSFaUCYHv3Qn/bOzDJWyjNnr9UiYDKdMulPOFM/gzTlhtFzSZgGWJrF9XFh4SwQ+JaHoZooCOIsIUgDPMOjvaX7Yus2SLHIlFlBECBu3KCp+Bz6s68aTScTU7Lr75NfOg+mSdPZ48bw5snXF4dKw2lwa0to5CAcrs1hUYWKq3sM1+hdBIKyWWbSv4l45x2UW8X289OnEQ89gqKXVsIx5zA0k1G4viAy0Hn9ytu4nkupVFq59nW3TmfYW+zbNi0s3UBVVQzFYBIF5CIjSiJGUbywpG76DYbB+vdf3a3RHq7vVHimS3e0hlRYFvlTTxH/0Ytos9VlCaSeR/vcOdKb+5yqNhjnUyzLWjtylGz5LtFUjd5oM8n3HY/RFjJU8Ur0toR9lD1vbThmmmW0220828Zyva3fN9vIGKwuYIVxRBivfmYbjQpZJtGFRppIRpOQJF7VXqwjAcuwre3jXqqi7AxptKztOTFC7Bb1+65Np7ddvxLHyco1syomnuWQJzAchGiayvVrN8nzvCCKa94zxSjLdsIy3WEz7Hv2zi6NZWjsUONstaoGMEyNdndQfDA0OHexhmPZBNOIw4MBnU6HNBkTxaIgMObR5+Sz1q9IKXn77bc5PDzcGUx4D3ceN27c4O23376jttHT6ZS/8Bf+AkIIfud3fuceAV3CPcLyMTHvHpTLZZ5++um7VghVzOt+dsJ7KSXvvfce77333qcirp/vY5e4XlEUarUatVqNhx9+mN99+3f5B6/8A6bBlDRJMUwD27Kx7NVWf9NtFpqQJQ5iaRae4ZHLnGE0JM3TomMy3dx1gCJ53DXclY6JZ3hYmkUmMwbRgDzP8XSPLD8ZLnkcTWePW+NbLB+cPXMyQ0putveJRhGn9k4htc0rq6rQ8A2P7pJ1skTOiNno6Dm6T5AE1JwaqlDJZUY0S7rPpSx0Mrk8QZoWmAbsTeCweuz+mCZiPIEgoFk9v7V703Q357BYmk2SphuDNstWle5kfSek4TRota+j/Kt/VehJjKLdrly9SvNwzK1/41uwZlXL0126k/6JvwdBSLfXo1Qq4XnFD4xlWFj6LONFKlRLZeI0ZhoHTNMJ03SCoZnkqSTNToqNdVWjPx4UgZNXriD294uMk/Pn4f4HmEabV5st3WS8oUAsP/EU/XK9sDaOImS5gnLxIk3TIEkSRK4wGvTpdXsYpoFl2di2haZpeKazdRxsW25LcVzbXa92ZaMYa75nkzSl3Wph2TaX7rtIe8v+K55Pf8vxK0LQX0OIliGB3mjps6qAXTZxTRtkYat92No9hrUNZd+lu2OkbJulMkDJc3bbKu+ArusnNDDL4n2pSdI0oVIzKXl1phuMFqIdx+o45k7CYln6TsKy67oatyHa9z2HTufo/sZxSjxbtKo0HO671ETXFG5e79LrzazFDRPLtrh4X2Xrtu8kpJS8+eabtNttnnnmGWzb/sz2fQ9w8+ZN3nrrLZ566qk7FsgZhiF/8S/+RaIo4gc/+MG90b5juDur7M8YH3X1/9atW7zyyiufWvfgTmNTCvydxrKd88/8zM98KnaK887K7TqB5TLn/3rr/+IPr/0hF/cuIoSgN+kxnAwJwoDBYICma9iWzfnqeQ4nhycCxsI0XGSUGKrBKe8UWZ7h6u5Gjclc/9ILVlfAx/GYcTxLbBYqZ/wz5HlejKZtMMgRiKLAXmNbHCRTpvGEbq+HkRmcPn0Kz/ZRhUqYhozj8crIkKEamKp5wtJ4GbqiY6v2Qltz3NpYCEHDqSOlQBEKnuGR5glhEhXXqYjZoFk9y6H9HCQJmEtjGHGC1DSapbO0tnRvms4erfF6MqMpOqpQmWzIiileu37bdadBa9xGXLuGGAyQpdJiFKyh+7SGHcS1a8iHHlp5XcOt0x4d3U9N1bE0nXAaokwl58+exbKtQt+ThIRZQJgFNN0GB8P151EyfdrRelJVccq0Dm6i/sEfQK9X2CpLiWi3aex3OfjZn1lrtWzrFp0tI1sCBapVZLW6MjAkgEapynA65dSpU6RpShiGBEHIcDBA0zTUximiNMGYWSYfxzbNhSLEVrJQWPRuflwIQf9YOGYUx3Q6HTzXxS+ViOLthfEmofQcFd9fuEptOoZ1AZ1BFBHMivhmtYJip3i2g6EZZLFkOAoWNsiWub0zAqBsMciAYpRr10iZYehbHxdC7OzilHxnowYmy3Pa7TZl38V0HKZyXHRfTIc8FQwHxTkbpr6TJLi3QViSZPuim66ru8mIb9PpbCeC28bopJQMRmNMU8dwNS43TmHqBsPBlPFowocfvkmr9QGNRoNms0mlUvlUzHeklLzxxht0u917ZOVzwP7+Pm+++Sbf+MY3qNVqd2SbURTxH/wH/wG9Xo/f+73fu5edswb3CMtHwHxW9MMPP+Qb3/gGe3t7n/ch3RY+iw5LFEU8//zzAJ+anfO8q3K7ZCVMQ37t5V/j9dbrAEfjVgqcq5/D0AzG0ZjBeAAxvHHtDRRFwbZtbMvGMI0V8mLO5rgPlvJBHN3BNdyFcD/Pc3zTJ8mS29K/3BrfWoyUGZqBb/iF81NcBFcWVsmVjd2cLM/pdDqU9BJW1SImXumcqEItBPeqATkkMlnv4jWDpVmoaAy3HLs3H8Nao6FRVAVLsykbZZIspnHqMuLKuyS+QWxqxHFAFgQ0Lj7GgdjcISgS7tefsyLUmVvY+kKq4TZojdaTlZLp058J90WvXxCVuW4lVxmIHITA7PbRLQ9NLUIpNUUjTXOqXpkkK8hZkkV0Wi3yKMMrlZnKkOmxZHff9DbqXTzLpTNaP9Jl6ibdUR/x3nsFWXHdxXGKNCW4cR1x/Tzy4n1rtxuEG0bFLGe1O3AMumYARRGraRqe5+F5Hnmek8QJ/dGI0WRc6Gcsa/FPCIFve1tDDqt+ic4WMlD2SnT6m4lWxfVWxsXCMKTT7VIulfA8D8eytibPC7FZ/zLHruKy7HpHHZgsQ9y8CZMJlErIM2dACMbTgCzPGUyWyJcGnu9g6SaWZtJqD4miTRa+ci0pWobv2nR2dGS3ubhB4XQ22JJFA5uL92w2gmeYBrbjLb7Dlrsviimo1PziPdeebg1q3JV5oqq7XddKnrPVihrYrdoHhms0OsvwPYvRuLi20yBiGkQg4Oe+83W+852fo9Pp0G63eeWVV8jznHq9TqPRoDHLo/mkkFLy+uuv0+v1eOaZZ+7pGz5j3Lp1i9dff51vfOMbd0yzHMcxf+Wv/BVu3rzJD3/4wzvWsfmy4R5huU2kacpLL73EZDLh29/+9heqVfdpE5bPUlwPt5dc3w26fPeF766MYx1tEAbRAKKCcJyqnEJTNZppk8PhIdPplG63i0RiWRa2bdPwG2QyO0FClrNaVKFy1jtLJjPG+fZCYM/d43Cy2jGJs3gl4d63SriaS5IlmJq1kq8CxShMp91mzz2F4s/aGseQyYx+2C/S67OEKIuwVAtHd1EVhSRPGUeFa5ijOUgpN3aNACpWhfGahPs58jzH0Wz2x7OE+8fuQ+QjxGELMUqRmsbe+YcZPP4wJdNFUwpnLiGUojEjJZpiEKcRFbtCJnPIczKZF4J5mVOxKnQmPTTl6OtLIhFCwTNcxsEUSyvmyhVRvFdUoaCioqs6hmohAGGVUKJ9slwrXp8rpCJDiJzI1ghnYyACQckoMVjSwkgp6XV7RHHE/WcfIEjXFIdSoqBsDBrVMZByfXHkmx7tqIsyGwNjqZBuCJMWEeLw8ARhMTSD7nBz0W/pFmPWF7KGptNbp3uh+Myd3TtNp9/HK/nEcUwQhDM3pS6maWE2NLIs2/j5z3cErmY7ghhV5Wi70+mUXq9HtVbDma0uu5ZdFI8bUHI9BluIgCLE1g4PcGTT2++j/uhHMNfrCAHVKs4v/klGGyLlx8GUcTCl6vtEYopdtnAtG5kJJuOIMCwWAMq+u1N7ssulzLHNE+T5OIwtmUywWQOTZhntVgvTNLn/4gV6Gxzh8lzSHw1RVZjIIU7NxjVt0ggG/enCflhRxU6hfKXs0OluvzfcRiNjp1PZ7ehkbHNBWJbx6EPnUVV1oaOUUjIajWi1Wly7do3XX3+dUqlEs9mk0Wjgedu1VusgpeS1115jMBjcIyufAw4ODnjttdd48sknaTQad2SbaZryH/1H/xHvvfceP/rRj+4646a7CfcIC7tHwiaTCc8//zyWZfHss88ugrC+KPg0Cct8PO6BBx7g8uXLn7q4Xgixcx/v99/ney9+b2eHo2yWmaZHhAPAtV1Ol0+jCpXOuEN/3Cef5FzpXkE3dSy7WFFeLp7mqNk19if7i2O1dRtXd4sxgnhAmqUIIYpU+sn6VPo5HN0hy1JuhftLf3NxdAekpD1q0zo85L76fSTm9rC1illlnByRjDALCY/b9NqNWTdJYGk202R6wiCgalcZhsMTQZZzCAR1p057umQvbBjIp55CjseIIKReOcstLQUygjUrxHWnzv5o/8Tf52g6TQ43dF4c3WQST486P0uLtgJB2ajQGR1dd3GmivKhgGhI0yhzqCSIIABNg7NH4tmm2+BwKd8lz3I63Q4yl3zt8uN0J+uL/LrXoDNc312pOdX1onjANZ2jzouqrvBQgWRS/J8TttBQWDi3N1gGbyMzAqjYPt1siJAsggILElnU4/ORJiEEpmlimiaSMmmakkQx+4ctgjBcBPHZto2m6wiK7JX+FjG+aRjbx8UUZSHmH4/HDIZD6o0G1lIndxpuHykytO3f22XP35o9A0WOB1IWY3qjUfFeEQLyHLpd3P/v/2P0C9/ZfB6auujQBFFIsKRDsisWrmlj6RZhHG/swKi3kfHiOtvJG8Bkh61y4bi1up+5Xsi2bcqVCuq6LJnRGOXVVxA3biBUjfFDD8CjjzENA6ZhsU/NVak4Hoos9F2Hre3XXdzGWNV4DYlYOZ/bISOWsfM5SXLyvgghePSRcyf+ViqVKJVKPPDAA0RRRLvdpt1uc/XqVXRdX3Re5i6W2zDPMxuPxzzzzDP3bG4/YxweHvLqq6/y5JNP0mw278g20zTll3/5l3nttdf40Y9+dMe2+2XFPcKyA61Wi5deeonz58/z8MMP3xVhkB8VnwZhWRbXP/nkk5w6deqObn++j4+aXP/8ref5zVd/E0d3aDpNpsl0bceg7tTpBb0TadRpntKbj9No8Ni5x4jzmEk44WBwwGQ8od/rYxgGlm1hWzaapq0V4QdJsNB/CCGoWlVs3WYcjxGIjXa0JbNEmITE2eo8/jzhfjKd0u/1eej0gzh+IfCeJOMTWhMoHM96YX9r6nbZLDMIByTHhN+GauDoDrqqowmNaTotirM1hy0Q1KzaKllZPCjA96nvXaazQQQPBSHqTjfnczTd5sZRL03VEVJsFOA37JPifdlskj/yCM3X36MVtosa3TDIH34Y2SzGPX2rRGtppCtLM9qdNqqqcuHshY35LrqiMdzwmCIUwi1aC1Mzmcw6L/LcOcThIaQpaBqNTKMdh5hCQbnvIorjoapFJ0lVVZRcoVGtzGREkkzmsw5ljmM4DKZj8jwr/j7rXBUEWzBMh6TK+iK3ZHsMJn2Y1fyFZXSxX1sxqbh7TKYBUkqiMCKYBoThiCxRcRwX1/RwLZNMStI0I46TWap58ZkuOS6tLbqqsu/T7g0YDodMJhOax8ZrfMfdOQ62yx1sW7AqzAT7ozGi1YLBoCCT8+8kRQEpiT68BuMxbOjAl11v49jb3ErYtS0iEeJUio5EnkoGg3BBGMv+7nT7dUX1MhzbYrpjZMw8tjCXJAmtdhvXPXLBGx+/5qMR6j/6R0UAqZSU84T+cwPU6zfI/vgfX3QK0yxbEPZmrYLf0LA1iyjIGAyDE98xo51jWrdBRszdov1d101VlLXdoLNnqpT87Q5dpmly7tw5zp07R57n9Hq9hYtlHMfUarVF9+V45yTPc1555RWm0ynPPPPMVz5A8LNGq9XilVde4YknnrhjpCLLMv6T/+Q/4Sc/+Qk//vGPPxWDoi8b7hGWDZBS8v777/Puu+/y+OOPc+7cud0vuktxpwnL3SiuB/jBlR/wj6/8Y6SUK8W+M3PSSvKEQTgoNA5bnKngSOh+c3w0UtaoNPD3fLIs49bgFuPJmNFgRNWu8u7wXWzbRtf1E6J9KGyLkzyhN1s511Ud3/CLDI6lsbKaXWMQDNZ2MSTF+F0wmfLguQeYMmU6PfrxNGduZgqCMIuwFJNW0GHb4HbVrDGMBmRrTBniLCbOYupOg1uTWwuCZWlWYSqgFAVNmqeYisnBlq5R3arTmXQ3krSyWWYYDjeOT9Wd+kayIoTA0z36QX/t4w27vl6ALwTW175B7+x95AcHgEQ2muAXxaYqFPI0XxxzEie0O20sy6JSrmBpFmF8bGU4zyHLKJdrKwL9ZdTcGu3BEQnSNQ1D09FUDUszyfKcvUoNiSR/6ilot8mvfUgmc6a5QBoa4SOXyU9VYGn/Ta/OrU2ETqhMo4gk3RBq6ldoD9ZfPyi6M3NtCxSfzzTLgOJ9OlVDRuGMEAjQXAPX1oniiM60R2fYZRqFRedlpntRTQ1T1zE0A6FJmvUSIMjzI1ITRjGSIiW93+8TBgHNYwnqot3Gfe0PmO7fKgjnAw8gH3+86H7MUPFKW+2WxUcZBwuC4j4fcyxzkQyFQIQhcgNh2SWhcG1roT1Z7kigC0olF0M3MISOMhQbE901Xd3pDuY6uwlLsNSxiuK4yLjxfXzfBwo3reOaJeWllwuyMiMm5kwTxq1biA8/RF66dGI/kyBkGoSMit4hRknHt32YCfdN02B8Jzoju0YOVWXnKF6p7NDrnXyfPPbIha2vOw5FUajX69TrdR555BEmkwntdnsh5vY8byHc9zyPV199lel0ytNPP32PrHzGmOuRvv71r98x3XKe5/zn//l/zj/7Z/+MH/3oR1/o+vKzxD3CwsmRsCzLeO211+h0OnzrW9/6wrs13EnCEoYhL7zwAkKIu0Zcn+Ypv/nab/KTmz9Z+/icECiKQsNpIHNJw27Qj/tr7WQ1RaNklk6QmmWNieVYnKudQ0OjPWpzODikNS7Szed2yaZpFvkmMxH+3B0MIMmSlcwVW7epW3XCNEJVtBP3S0pJt9dDxpJLZy8TrNE+RGm40LnsOXt0gi5ls4ShGmR5xjgZrxC5hl2nM+1tJAlQCNjbk1XSs+yaJtKMWmfKwaiFsB3scxcxTRdNKVafpcxRURlFmwuoklFiEk/XkiaAqlWlO9nceanb9dkxnoRnePQm68dNBAJd6ASODZcvndyvXaM9Lu5RFEaFG5Xv4fs+TbexSkiSFPH2WyjvX6UyzYhqVSpPfAP10iWEoqCIoqMmJCRpgufYJHlCnCYkxCRpDCkIUaY/PXa8/8ZPI26cZa894jBP4PRp5OnTR6v7gKao9Dd0dACqXoXWYHN3K043ryzrqr5VqO/bLsPpySJOKIUw/1StSX88wk0SwiBgNB7T6/UWVrB71TrDDd0PYUDJdjho3cS2FO6//BCKUIiihGkQIW/dQvn932cSxgWBSBKUl15Cttvk3/nO4hrtCnKs3MY42LyDI2u1oruSZSsubW6aMjGtwnVuDRRFMNxBihzLXi+Wl3JxjQ1dR9gZVddDEzrhNGE0OnpNxXNp78hW2dVJsC2T8cyFLIyK9365XMZbyoSwTeMEYRHXrxUzhDMEQinugRCIGzdOEBbXsZgc09rESUInKd6rwhDsNTxsV2UyTphuEO7vOh9NU3eO0ZVLDt01ZGRlOxu6cI8+/PELTiHEwtzi0qVLxDPnu3a7zfPPP7/QhT3yyCNfyAmPLzI6nQ4vv/wyjz/++B2bIsnznP/qv/qv+N3f/V1+/OMfc/HixTuy3a8C7hGWYwjDkOeffx5FUXj22We/FKK2O0VYBoMBzz//PPV6na9//et3/Mvz44jrx/GY773wPa72r259nqEa2Jq9MrYlhKBiVdAVnSANGMfjhRPY8QDH4/B0j2k6LcawNDhz6gye5hGGIYeDQ3rdggjs+Xt0og6aoW3NmPB0j+vD6/MjwzN8LM0ilxn9oM+t9gGmYnLq3B5htn0lsek0OZyd5yBaHT+xNRtbt7FUmyCZoghloyal6TS3dqKU0YT6v36V7riFMhM6hO++w/Sb31yMxFStKt1wNnonBKZqYKgGuqqjCAVN6Egp0VWdXOakeUqW56QyJc0SPMNjFI42kqqm26A1Xk9WNEUnS+XG82u4dVqjk68VCKpOmUk0xTNcgmBKOAq4fPYipZKPpmjkuaReqiBlXnQCf/z7pB9cJdNVUs1g2rsF/6JNnv4M8tyRHqbh1OlN148E1ZwK3fGaxxQFceE+BpcsZLK+YKs6FVob9DICwTjc/J4p2T7DyeZCreKWaPU3E0ZLNxmxeWVaVzUERaFt6DqlUoksywjCkDAIOLx1yDSOsGwby7IKy+R54G2e02l36U9G1Bt1ejOHt2LDAvetF6nHYxLXwZGCVCqMU0l68ybi1i3kmTOFmH7HOJiibP+eKbnekXOX7yMvXSoc3KQsuglZRgTkjz4KG1bAy563SFPfhCjZla3iLo5jmUSaZQPfcpG5QMjt38u304HxXJsgjAjCkG63S6VSwT0WShjFa7p1SwTOljlDoa59bA7HPklYliGlZBJOF7qfdcL92yUjne72a387v2eTNdbLpqHzwOU7N85jGAZnzpxhb2+PF198kTAMqdfrvP/++7z++utUq9XF6Ni9oMhPD91ul5deeonHHnvsjo1r5XnOX/trf43/+//+v/nxj3/M/ffff0e2+1XBPcKyhF6vx4svvkij0eBrX/val2Y1404Qls9CXD/vqsDtiev3x/v8ref/FlEW0XAbxGm8NnzRM7xFUOPxfS5b/DbsBpqiEWYhilA26j4qVoVJMlnRS8RpTDctCkav4nF27yx6rtMetun0O6Rpimma2HbRfZmL9hWhULNqx4iBZByPGMejmRNYh1PeKU7t7RWFfJSRrrMUFgoVq0ZrujnbJEgDfMPj5izhHgSu6WBrFgKFJE8YxxNqVpXDbWQFhdpLb9MdHsxyTFTIM0Svj/Laa+Tf+hZVu8ogHCxdR0mURURZ8aNvazZSQrihCLd1mzhNiq6VZqAKZeH8BeBoLlES0XBqMJPWLI/j6UInydIi0I9C0yFlMeBlaxaTaErJ9goHsjwjlRlZnqIpKpM4IEwjxuMRw+GIer1GpEa0JhFVq7pKOjod1P1r4Fg0hUNLyQAdxmPEW28iz54FAb7pbhwTQ27vctS9Gq0NqfaKUBgGmwlH3avQHvY3Pq6r28Xo42Az2SnE8JtX81VFXfu4qqp4rkvJ81FQ0MZjgjCk05l1MK2iQzkej/Ftl0ajcZJU5Dnh4QGxodHS549JMCR2GGNN2tB4BF1oDMdTkiRZ6UrNoWzIVlmGeSzTJH/2WRTbRrzzDiQJtmnSe/xx5Ne/vnEbu0IxTdNguMN22dQN4OSxRnFMFMcIRUFTFPy6iaVbxGHGaBisjI+VPXdnun2aZkyDgF63S61WO5HzYRjaiUBJAHn5fsRrr4KU+DIrOiyz73S5ZiV5p2ZEWyVXy2NyqqtSc3xsw6J1MCKON29L7CCkwFbiBGDbxtqsmIcePLMz3+ejIssyXnzxRbIs41vf+tbC6Gc6ndJut2m1Wrz99ts4jrMYHSuXy1+amuXzxrwWfPTRRzlz5swd2aaUkv/+v//v+f73v8+Pf/xjHjqW83UPu3GPsMxw/fp13njjDR5++GHuu+++uz4M8qNAUZSPTViklFy5coWrV69+atkzy3oVIcRtfem+3n6dX33pVxdOVpN4Nv+sGZSMUuHMFQ3wTZ9xNF6bGbKMmlWjH/UXTlqaolGxKihCYRSPFvtpOA06QWfrGBWyEE63Ji2ELTjvnsdWbIJpQGfU4Vb/FrpRzGk3Sg3aGwhGNBvFOFM9i+ZoHC6CI4sxM0u1yGXOMB6Ryxxf91cyWNYdV9M96r7M/zhJJivGBHvOHqNoRM2uoSoqucyJ0ohJPEEiUVCpBDm9wS2k6xZkBUBRkY6D6HapRgpDMdpI+gzVRKASJOsLNF01EFIQpLNi+ZgBgW/4HAaHG+2Vm+4e+8ODtY/ZusU4HJ8wGZjDM3w64x6DQZ8gCGg2jwTeDaexGBObQ/T7kGZYhkNPzD9nAgwDMRxCHINpoKLDhvT5hlffmNeiKgrD6eaCuu5VaA02d0CiZPN73zIsuqP+xserbnmr9qPilbdqX6peiXa/h3j/fZQ33yzE6q5bGBs8/DBVr0RnOMR2HGynsNWO45jpdEq/18PSDaZRSC4Etm2tOikJEKrKYE2GR6AIJkIiR10apQqTfIzqKHhWYSKBVIjCmPEk3BkWCWvyW1SV/Omn4RvfgCjCPnOa8XCLRgY2jr3NURgPbL6PAJMtnTIoyEh/WCx0zDUhmqNScT1UqTEeR+s42wpUTeXGrQN6vT71en3tlIHvunR6J7uB+RNPoN68Ad0uaZ4BRdipfPTRIqdmCZqq7AzQrHgunf76e5NlGd1Rn0atTKxN8EsetmYSTFNGw1XysUsD47km4y05MVCEWwbByQ7Yow+f3/q6j4o5WcnznG9+85toS1opx3G47777uO+++0jTdDE69vLLL5Pn+cJ1rNFofOHcTO8W9Pt9XnjhBR5++GHOLrlFfhJIKfnrf/2v86u/+qv8/u//Po8++ugd2e5XDfcIC0Voz5UrV/jmN7/5pfTAVlW1WF38iMiyjFdeeYXBYMC3v/3thdjyTuLjiOv/4MM/4Lfe/K21xXCcxrTTggDsuXukeUrFqjCKRwvdxXE0nSatoLWiiE3zdGUszDM8ymaZcTLeqpxd1zFJ8qQgTAaU6iWaShM1UZlMJly59h6oLHQv8wTxuRPY/acvE2sJmVwuriWjaMSIokAyVZOSWThD1e0GwTGrZjiyHN4UQDnb7IptcJCsXi9FUfB1H093Scc3aUSC0DCYsOQgrCpUxoJ+MCAz18/ya4qOoRiMN+haVKFgaxbDcH2hYqgmSZZuJCt1e5tAH3TFIIjXF5cNt0Fr2Kbb7ZIkCc1mc1EwmJrJIFjzOt0AAU4m6C5/o2Y56DpoKnWnRmcDMVCFwjjcXMzWnNrGcS8FwSjYXPRVnDL98Rb9iekSbrUD3v55jNeNBS0/niSIt99G+clPipV2VYXBAOVf/2vy6ZT8j/3C6t6EQBGCMAhwXY9LZ89x7eAWQTBlMOijaTq2bWFZNrqhU334YbqvvHqkJ5GyIIiqirzvvqIDNDv/LM8ZHNPaqLaC4Qgauo+UgmAanxCjr4yDHYemgaYRb9BfzVH2ffpbCA2wVk+3DM+xGe+wItbXjF2lWbawsxaKgq5A87RHGkkGg2DR1Z5D5Cn9Xp9GvYFprh9v22SegWmQ/ck/iXr1Pfo3byJVHXn5EnKNqLhc8nZ2em6nMzKaaW1G0zEjivtrVU080yFPBFkiGezIebHs3YRlk8nBY4/cOcKSpulCI/pTP/VTK2TlODRN49SpU5w6dQopJcPhkFarxQcffMBrr71GuVxejI65rvulWoT9tLBMVs6fvzP3VUrJ3/gbf4P/9X/9X/nhD3/IE088cUe2+1XEPcJCYTf4cz/3c1/aD/THGQmba3lUVeXZZ5/9VJxJPipZyfOc33rrt/iDD/9g57abbvNE1olvFrqQMA0ZRaOFE9jWIp6ChFiaxY1RMUalqzols4RAMIyHxGmx6qYrOq7h0g42j2RB0QVKRIJQBKe8U+i5ThqmDHoDunkXRVVIk5SHzz3MhO0EydZtBMpK4CQUJMbVPVRFJU4jNEXfflyy6B60JpufI2SRMn9zvA9GilLSEPEITA87V7GkitMPyRyXSuM8sSIJ0nBlfE1TNBzN3UhGBFC2yhvtjRWhYqmbyYxneAw2PAbQcE7aG8/h6A6dUZd2u42UkmZzb8Xq1tVdunH/xOvk6dPUDZ9OOCoS6YUCaQJpSv7gAyiazjTcPG5S96ocbhDEq4pGf7K50K35Vdpbuivb3juaotLfYEgA4Jr2othfB99xt3YNfNtlOBygvlqMCLG8Uh/HOG+8Sf+hx8A5GjeKoohOu43n+5RKJYI0WThTZXlOONO9jEZjFEWgPPgw3LiJ0u0W1s9QdD+eeQY8j7Ln09kSpCkltAer5hu6q+NZLrqiEScZpjAYrhnDmsM0jK2BlLCeSCxD07SFTmMTHNPaSVh2PT7vwMyh2gpV10dDYzyKOThooYp8ayp7YR6w5Xw1jfJPP023//DWY7md39s5GdmETXbGYRQRzgI8m7UKVctERWc8PAroXEa2pku3DEVZH27ZqJfYa94ZU545WVEUhaeeeuojBTALISiXy5TLZR588EHCMFyMjl25cgXTNBejY9Vq9d7o2BoMBgNeeOEFHnzwwTtKVv7m3/yb/I2/8Tf43d/9XZ566qk7st2vKu4RlhkUZXMi9RcdqqqeWEXbhrm4/tPS8nwccX2YhvzqS7/K1f5VGk6DLC80Kce7LJscvoCiKzELk3R0h4pVIUojNEXbuFq/ICFLY1tJltCZ542IYjzJMzyyPNtJfqpWlVE0XhTxQkCqJuCCb3uk3RQt03Ashxu3rpPrEss2sSzrxH04Sq8/+UM614poQsMzPbphl5JRwlRNciRhEhRjYGIp8HGD01ZxXVU8w6c/z6gxdOT9DyBefx2GQwJdx5hkHBqC+NELyGw4d7xFVzVMzcRUTQzFJM1S6m6NLM9JspgojRfXv+40aG8hTRWrQndDloumGoUlbpYBErpdxMFBUZU2GtQuPrKRrAgEZLB/ax9d16nVaivvybpTpzNeTwxU02b0s8/Cv/xDmBfwioI8ewb56KM0tnRIDM2gu4UU1J0KhxvF9DDZoi/xLX8rIal6FVr9zeYSjukw2RI+aOzQvli6yag/gDAsOk3L0HVK44Bppw1OYQkbBEEh8C6XcT2Pqlda0b+oioLrOLiz0bEszRhMpkyfegrz4ABnMkG1bZQHHkCpVgF2fqdXfZ/OYJXQJGlCb9xf/LdtWvhVHUu3yNNC67Bc9JZch9aWXB1gpzal7Hl0+v2tz9mW3QPgu87WLBo4SZyyPKc3GhSW6YMBuZpw8b77kbnKcDBd21Uo+S79Den2c+xyZYPdZKTkOTtHxizzduyM06NQUgW8uoOj24RBxnAYoCm7Rfsl36E/OPmcO9VdSZKEF154AU3T+MY3vvGRyMo6WJbF+fPnOX/+fDE61y0WYl5//XWSJKFery9Gx+4FUBZxAc8//zz3338/Fy58NIvqTZBS8t3vfpe//tf/Ov/kn/wTfvqnf/qObPerjHuE5SuAj9Jh2d/f59VXX+XBBx/k0qVLd4W4vhN0+O7z32V/XCSgz0e7NEWjYlcQUjCMhqiKiq7qOx2+LK0Qvd8cFRkrilCoWlU0VWMcHwUwOoYDkhVh/skTAgR0wg5xGhf5KqaPkIJJMlkZQ2vYDTpBF7lmlC3LczqdDgLBxQv30Yv7OIlLGiWIUDAdTRGGgtQltm1RdxuM4/FGogUF2bJ1e3H8w2OZIUUWjIetOYRphKPbTNeETxZkxTtxHeTly+SGgfjgfcrDiOlehfjShUJkvoQkT0njDMM02Z/cWnusiqKw5zaZxFOqThVVURAoi3jNXOZYqsU4muCZbuEklqdkebYgrb7uzVykJOL111HeeWex6m5LjfF9N+CbT611K/I1n7c+eLtI8C5XVub8TdXcKmqv2mXa9Qz+7X8bsb8PUQyVMrLZxDbshUZEiMKsQAgFoRSjTxW7wnA6wlD1Yp+iOOvic6GQ5Cklx1scz7z+FgIc3WYShWiqW+R5ytliAJJcSmzDJIojcinJZbZSfAoE402jZFGE/s67DK/fRFFV5IULyAcegKVUc13TtibXa2ImxteXkuCXi1gpmarqIstkMpnQ7/epVavYM+ejbSJ1IQSn6k06Wh+/VCLd2yMIAoIgIJ1MMJIUz3NppSnqlrGaXWtUZc9nMC7OcxQcFaxWycIzbZDq0jzkhm34HoPh9gJ/F7GyTHOnBsY2zZ2EZV0HRgL9Xp8wCnnw0iV6M1vtufZFkdqsMzHrJK9Ltz+GO0VGdj1nm9Ae1juijYPp4r1vlAyaFZ9gkjDsB6QbOi26sZ5APP7oJy9ukyTh+eefxzAMnnzyyU9MVo5DVVWazSbNZhMpJePxmHa7zY0bN3jjjTfwfX/RffF9/0s7abIJo9GI559/nsuXL98xi2EpJb/2a7/Gf/ff/Xf8w3/4D3n22WfvyHa/6rhHWGYQQnypOyy7CIuUknfffZcPPvjgUxfXz6/z7XRurvav8r0XvreSYTJHmqd0pwU58U0fXdFRhUqu52vT7aFIkY+yaNFpgaIYXqTbU4z+lIwSiVzqpGxAza4xCI+CHpMsWRwTFCNKtmajK3oRvriGrBROYG1s0+HC6Qv0o/6KDSwUc+hBEJBGKdpUpTVsoZrFuaqadkJIa6omuqKvdU1bnHeeI6XgxvAoHFNXNVzdRVcNpMyJshhVqOtJmwB5/hze5UcZJwHJBvtgJDs7ODW7zq3R5uDJhlPnxmB/7WNCETSdJoNwiG1aqAeHaG+9gyJU8Dw0BNo0IX3vA/KzF8gfeRix5CeWRRkf3rjB+b2zVMrzlPijaSpDMYjTIsAQWZCBgiBILM1iGoW4to20LKTvzwhDkSDvmBZh2i+Ex0A2bztJcHWHw/HhRj1Aw90sxBeiyAUK4vWjZp7pzLRIsmjFCEAp0ulVRaXilJgEASXDQVXUmXZEQUynqP/oH2EftAlUlUxCdvMm8f4+wS/8AtnsUCuOT2uL2L4Q4/egVEI2GkWna54MLyWVaUi/XEWeOsVoNGI4HNKo1zFnY2Oaqm7V3gBkszEuIQS6rqMvWSaHYYguFG4dHKCqauHOd8wyWVVVBuPtRMLQ1neRwjgkjENMwySKYgzPwLMcVFSm03jFcWpXga+pKoMt5A/Ad+zFiNMmTLdqkdZ3YKSEXq9LHCfsNZs4ts1kNr64rH1BgFdzsA0bsnzr7+XtdHpuh4yE0XZ9lK7ra53KlrHLES1OYuIspDsdoFiz8TipMR7HBNOjjtZ0erK7pWkqDz/4yUTZcRzz/PPPY1kWTz755Kc+qiWEWIxYXr58mTiOF6NjH3zwAZqmLchLrVa74+TpbsNoNOK5557j4sWLXFoTavpxIKXkN37jN/iv/+v/mt/5nd/h537u5+7Idu/hHmH5SmAXYcmyjJdffpnhcMjP/MzP3DXi+p/c/Al/9/W/u2IfvA41u8YgGpDlR+d4PN1eItc+bx0szeJgekAuc3RlplcRq3oVKHQyremqWP84JvEES7O4Ob6JKlSqdrWwTk7Cwn1s5gRWK9VoVBsMj1kvz6GpKr7n0dhrcjg+JAgDwiAg6Sf4Rgnf9dEtnURJsDSrWElLNhdjqtDwdI9esDrmlGQp/Www26eGozkMwgGe4WFpJgKFLM8I0oAgCfAMjyiLN5MV5nkum8e8iuDHbWNgZTpbgiNrdo3D8RHZETeuosgESjaQ0Uh0DjwFZI784C3y883Fc+MwYtAd4ZZdMj2nM10lCHWnxq0NbmMCQW5IRtH661x1KhvHyAAMzWQSrScclm6ujCUdR82p0dlkkQxYur3GjliS5RlZnhHGEZPoZLEnXn4ZZdzBqdhMtVnxlGVw+CH5zSuoly5jaAa5klGr+LNO2CydPstJkoQwjonTo89s/q2fQf3xj2A0WhAWzXbJfvZZBqMRk8mEZrO5opmouqWtzme2aR6N+RyDqqq4rkvJcVFMgyiKCINVy2Tbtjm3d4rulrBIIcTWfBoA33aIopg4iekuZajMCYwiFbId1r1l36PT36yzATY62s3h2Bbj6fbi/XgHRkpJt9slTVOazSaqqmx1ISu6EpJxEKB7GiXHg1xlOAhIljodtmXsJCy7yIhh6DvH6Eqes9apbBW7f2fGM3KZz8bj5vDqDrZuI1PodE6+Dx68/zSG8fFLqDiOee6553AchyeeeOJz0ZUYhsHZs2c5e/Zscf69Hu12m7feeosoiqjVaovRsePW1l90jMdjnnvuOe677z4uX758R7YppeT//D//T/7L//K/5Ld+67f4zne+c0e2ew8F7hGWrwC2EZa7UVwP8I/f/cf80/f/KWWzvLAoXjf+tM7hC47S7aEYfdpz9oiyaOe+j5OQJE+OBO2i6NCYqommaIsRtU3QFA3f9Bf6l0xmK52cJEqJBzEPnnoQzdUZhtt/fPfcPQ4nhyiKWJnlD8OITtgm6IfYioPveJS8MlWryiSdrKTbw2xUTLUZbNlfIY53Fh2acTw+0eUqmWUE4Bvmiv1xkASkMwLTtPe2hk+WrfLWkTvXcJhEwebVXNOjHxx7/VKeSSPVaauz/xbK4jGJZDQaoYSCUrWEaZ2c4941CrYpeBKKcaZ4izNfxSnTm2y+/p7h0Y42d1em0ebC0jasrWSm4pToj9ev6CvXr1NPBR17qXhSVZARYn+f7OJFrB3b912XMJlSKttoio5SqyDO/kWyt98m6nRJbYfWhYv0JhPC6ZRms3nCgjVKtxe0vu0ShJs1HbZpMpxOigwf28a2bSqyQhzHhGHIcDAgngQkMl8EVmrHVpPLrrfxOs2x6R7PCUzZ8xhEY0z/KNhxMol3OLOtwtD1nUGPrmWdcDc7jmBpn1JK2p3OzFyiiaIouLa9VRMF4FgW4yAousLzbB9NUC55mJpBME13kpHbyZspeQ7t7i4ysnsiYhdx2ua8Nh8da9QraH5eELRUKQhakn2icbAoinjuuefwPO9TCWH+OFAUhXq9Tr1e5+GHH2Y6ndJqtTg4OOCtt97Cdd2VzJcv8ujYZDLhueee48KFC3c0vPG3f/u3+ZVf+RX+3t/7e/yJP/En7th276HAPcIywxf5w7cLmwjL3MKv2Wzy+OOPf2ri+rlm5XbISpIl/OZrv8lz+88BLIr9uc5EVVRG8Yg4iwv72h0id4GgYlYWDl/zdHtN0QjmwvPZ3+t2fWtxjYRxMkZTNFrjFoZqUDJLRfEbjVaIgaEZWKp1ooNRbKawoJyMJ1w+c5lETZmGU1zDxdEccpkziIYr7lpN56Tr2fy4bdvCti0umWV64z7DyZD2QZssy7BMi4pfpeHXUTWVNCt0H8NocyGmqzqWZm0dJ3N1lyg9CoE8DlM1qds14ixhz2uS5xlxnhImEfHsNZ7hMo2nZBsMIXTVQOZs7LDpmkGaZSc7ZvU6XL2KG0v66uyxXEKeIff2kEj6/T5GpmOULHRj/diPozuryepLsHWb7mT9Y1B0ZjaRGdjuSuQa9lZCUHfrtI8J8cXBAezvF4F9Fx8mKLtrQxIBFLaMeSjKZsvahZBm88sBTN1kFExXuiwAXD4Dl89Q96p8eP0apqVw/+UHURSVNMmYhiFJmuFZ9s7OxrYwSyg6H8GxESohBKZpYpomzXqDIAyZBgHBNGDQ76PpOrZlYdk2uq5vtZSF29OVzEfKoiReSbF3yjaOUazeT3Y4e5U8l3avv/U520JHAWzLZDTrwOR5TrvTQUARyDm7r45t7SQswTrhv5QMZk52pmkU7ounPPIEBoPgxG+P79lEne0GAvmO8WwhxM6RMt9zGe1wb7MtY6ezWp5lJGlCZxbcKgxBperz+KMfT3A/Jyu+79+1AdVCCFzXxXVdLl26RJIki8yXF198EWBldOyLlPkymUz4yU9+wrlz5+4oWfmH//Af8su//Mv8xm/8Bv/uv/vv3rHt3sMR7hGWrwDWEZabN2/y2muv8dBDD3Hx4sVPXVx/O2RlFI/43gvf4/3++yceW9aZ6KpO0ynGenzDZ7QhU0NV1MIxbInUHE+3d3QHT/eKjslke8fEUA0szVqI+uMsPnIPm3VfLNUilSlhGq4t+KWU9Ho9ojjikQuPMMmm5LN7M4kniwDMRTjkTP9yOFk/ljRH1aoyjEYoukKlUkFKSNOEIAho99vcau3j2z6u46IYChWngqEaSCmZxtOF2N7QDEzFYHzlDZQPPoTpBMoV5OXLyGYDKMhKmmUbyQoU1+LmaP31VBWVklVCQcHSbBQhyGUxrpRkCWEaIclxNJtBsMH+WAhczTnZXQHkuXOo73+IuHFIas50E0mCLFfIL16k0+mgo+FWfNhQKzTcBu0thMPSLIIN41ymZm4lMw2vsVGbUrzeYsL6bSsIxkvib6RE+clPEFeuQJ5jZdB7/W2USxfJv/3tE6TFM1262zo7F++n2+kWGTJzS+cknbmencUxrK1Wx6qibdWe5HnOB9c/JIhD6vU6veX7p4DhGJR8B9sxZpEqKZMgXPn+Krv+Tu3JeFfAousRJwm+5+F7HvnMMjkIQ8atFoqiMh6O0AwdyzTXfnf5trMQom/CaEPg5zQKmEYB9VKZSJlSqrmYmkkcZQxHU+SSQcImQj+Hoes7bZU9xyEII7I8p91uo6oq9WNOeNEOFzLTNBakZxN8p+iMzB3NVHOmCxEq41FEEMTk2W1YCO/oKJU8Z2fXyTZ1djhFk6Tbx4MVRZzYj5QSzRCc2qtu3/gahGHIc889R7lc5mtf+9oXZqFU13VOnz7N6dOni4mHwYBWq8V7773HK6+8QrVaXYyOua77eR/uRkynU5577jnOnDnDAw88cMeu/w9+8AP+6l/9q/zar/0af/bP/tk7ss17OIl7hOUrgGXCIqXknXfe4cMPP+Spp56i2WzuePVHx8cR1++P9/lbz/+tnQ5fju4ghFjpNti6jWd4JFnCIBoUYmjdQhPa2g7H8WOdplPGcdE5KVuFp/68izOHq7vk5Ju7DhKG0RBhCqZp8aNes2soQmEcjwnTkCzP6Ha6SCSPX3ycXthn83K1ZJoEqEKjNTlECIWyVUZXDLI8ZRSPFiNyhftYD7lkVyQEK0JkU5hMphO64x5xFHGoHy6EyLpuYGg6FbOCKlTSF19AvvQCgZoVLk7XryMOD8iffhr7wgNk+XayUnSqNmtSFKESp8kSOTt5LZtuk3E8oez4qIqGQuGqJaVAkmMoJsNwhKVbxGm8am+tqpR+4d+h89pziOvXIc+RZ86QXbpEe1yMCZ09fY5Jsr74snWb/jbCsUUMD+AaLt14gwWyojHaMmZWsny6W7QrdW/VIllcv454993Cwcs08VOVVp4g3n8fcfo08thstqWbm93BAP2pbyKvfYBotY4stBQFeekS8vx5XNPdKu6ueZu1J1mWMR1OiNKERqOxtlhIspT2qEe81I1ApRjr0otRTF3RCeOIaENoZclxGW4gCnNEx0a5FEXBcRwcx0FKcAyD/dYh4/6EPMuwrOKzYtnWwrI32jH6VPa8ncRqbt4wnI5hFnqo2Sol20NFIwrTnYGTt9OBSZKELMtot9touk6tWlt1wrsNzYjvOETR9v1kx8hIdkwXUqq7aJqgXHYYDNbvr+y79HbYJhsbuqLLCKLtBGydg9hxbLJwfvyhj+4mFQQBzz33HNVqlccff/wLQ1aOQwhBpVKhUqnw0EMPFYtiM+H+u+++i2VZi+5LpVK5azpI8+t/6tQpHnrooTt2/X/4wx/yl//yX+Z73/sev/RLv3RHtnkP63GPsHwFMM+YieOY1157jeFwyLe//W08z7vj+/o4epXXWq/xd179O1iqRcNu0I/7a1Ofy1aZaTI9MSIUJMHCilhTNJpuk5x8xa1rHXzTnzktFa9N83RFr1I2y5iaicwl/ahfpNVvQd2u0wt7i+J5mXyZwqTf61M2y5zdO3sb4ZJFbsk890TKfEVzIoRCySzj6x5BGqIqKumGlVhP90jyBM3WaNqNo9XkIGQ0aqMoCmWnRO5K0miE9s6LYIJml/FyFd1QkL0e2StXmJ67n3ArWanNzns9EVOFiqM7W/UzTfdI9xKssVluuA1uDle7N6qqoKk6mtAom2WCNKD29LdRnlGQCNIkYf/WPg2/xoVTF5jEASXVn9kiS7I8JZc5aZZhKgZBvr7DYagGg+nmArLqVOhuEdrXnAqtLWRH2dTyoRiLHAarBZa4dq0gFoaOmUNXkQV5SWLEhx+uEBZLt+jMLJbXwTRMOvEU+Z1/E/H+VcStW0Vi/PnzyAsXUFV9a3cFYLrBySpNU9rtNqcqDTzjpKvdHDWvtDboMYgDgjgoRP5CkIoMwzVwTQdN0ciSnEkQEsUJpmEUncENcCxr68iZEOA6DpVKhTKQJglBGDKZjOn3e+i6QbVcohOnaLq+Uda9yWFsDkVR1hoHpFlGd1xcg3q5gqUqeKZDlsBgOD3RLd/lAGnoOu3+gHarhWmaVKrVE8fsuy7RDtKzq9OjqbvzTDRN4XBQfMcavo5vu5ArDAZT0iSbbWd3WTLdkg8Es27QDmvlXQ5i247loxKWIAj4yU9+QqPR4NFHH/3CkpV1sG2bCxcucOHCBdI0XWS+vPLKK+R5vpL58mloZG8H8+vfbDZ5+OGH79j1/4M/+AP+0l/6S/zNv/k3+Ut/6S99qe7r3Yh7hGWGL/MbbT6L/Ud/9EcYhvGpi+ullLdNVn78wY/57bd+m1zmTDjSk1SsCrqiM0pGhElI3anTC3ongiKPo2yWOZwckslsZTvTZLpidbzTMUzCIBrQUBt0wy66qtOwGjN9ycnXbRL/QzGzfLNzE8/zOH/qAt2gR8Wqois6URqeyEdx9CKHYrRFQyJljqWa3BjPLYkFvuFjaRa5zBnHY6IsomT4BGlEkh+tNq6uJktEIgiDkOsH1zA6HeqTCbJUQpLTU4vr7ZRMmA4Ihm282ikszUIgCsewJCRIAqp2lV7Q3yiQFwjKZpnulq5Xw2nsEOmX1hKCLM/J8gjTNLk1urXyPonjmHang+u4nKmf5cZof2Nja89v0p500XUNVaioioIijv7Zmk2UxSBnOSEzD2TBbFREMaj7yuweFaOMc4tjBZVxOEUTKvn+DeRwCLaDPHsGVJWaU1kUqutQd6snAyiXtAvlTOFQXQpqOaZr8C13qzVuyfZoxV3QNeRDDyEfemjl8ZpbpjXYTLbKTmmhZVhGHMd02h18z0Wzza0ufeuCCpdRcUsL0hWn8YprHwJs3wIto1kvF+Nk04D02Kq/ZzpbBeqaotKb2QwLljqVvk+W5YRhgCIFt1qHqKq6cB1btkwGdupbKp5/ZBu8AVJKgihcjB8KQ1B2PAzVJJzGhFFCf8fck23ofPDhh9iOU4il1zwn3UF6VFVlsGM/RfjldgKwvNoeJwmdpA+A0ASVsoeu6qTRbke0Xbof37WJdnRYbuf3ad37RNc0Hr58budrF9uYjSE1m00eeeSRL32tsbe3x97eHlIWxiatVotr167x+uuvUyqVaDabNBoNPM/7TK7FfAyv0Wjc0ev/h3/4h/yFv/AX+J/+p/+J//A//A+/1Pf1bsE9wvIVwHBm3en7/qdmnzjXq9xuZyWXOX//zb/PP/vwn5147LjO5Ix3hkxmeLp3orhfxnHScHw7ruHi6A6a0DiYHOwkP8uOYVEaEaVFsbdChOIpjulsLLIn0yIQr1FpcLp2ms5M89JfcgszVAPfKBW5JlnOJJss9rX5XPc4XDEckIzi0Yqep+k0kBJM1SLMwiJ75thtcXQHNAGa4LRvFV0aRSGNY2KRoqoKHjoyzQk1kIqy1jGs5hTJ9TW7ihAKeZ4RZTGTZLIgMHW7TntLrk3FqpywFV6GpVkEcbTxvumaQZytjocFQUi316VcKlGr1JnGwUay4hku7Um3IBlZTsJqR63mVE90dpax5zXZH64PxixeXyPod1D++R8iOh3UPEeToJQriO/8mwivQsX3izwU5sGJR0J3IQVVr0yaZ2RpRpwlZHt7iOvXMZKMrjJ7bp4XuS+nTi32bWjGIsByHXbmnki2Wt5CoU06jrltt+/7XDx730K4vA6FlfOO7JUdq/yOaa2OzGmF+NrSTfJMEIQR43BXdod/5IB1DKqq4Louvu2iGAZhGBKGId1utxhFtSwsy2Kv3tg6egeg7Khv1DX3RC4E7sXnfK9RI09BZoLBaEp6zEI5ThKu37iB47qUSqW1ZEVTtZ1kpOJ5dAa7XLt2Y5NQXkpJfzzCdxxG4RS3YuGYDkmUMxhMVxZBXGe3I9ou4gswHG2/P65jreTpzPHQ5XPo+u2VTnM3qlOnTt3Rlf0vAoQQlEolSqUSDzzwAFEULUbHrl69iq7ri9GxarX6qWS+hGHIT37yE2q12h3tbP3RH/0Rf/7P/3n+h//hf+CXf/mXv1L39fPEPcLyJcdcXA/w4IMPfipOYB9VXB8kAb/68q/yZvvNrc9TlMIZbNk+2NIsfMMnlSmD8P/P3p8HSXPf93346/vt+5p79jlwEABx8gIJgrJo2ZYl2bJIipZ8SZatlBxfSkmMrdhVchJXlLh+dpTYVT7KZVfISkKpJEdllY6iTB1RIlKSJSumBOABQOIiAOJ6rt3ZnXv67v790TOzMzsz3QtwQYLUvqv4B/H09nT39Mx83/15H0OyPEMgaNvViWGzaIat2lyfXkdTNFp6C2BDgrbc3w4SsiBCUkoaRoNJOKFjr09fVpPALncvU3PqO/00URpx6PdomE0m8aSY5thFK3HhpTkmLwJB2+pUnmvTbHLk95eFllAsTFzNRVc04iwhTZN5cpe/3Ld26RKy3sAcj8gcFy2BNI6Z+WOiC3vEaYIZJ2s/2J5eYxSOt8ZOCwS2btMwmsRZRNfpEKcJYRoSxMEykcrVHabRdOd0RpUKmtR3BiwAuKqzdo0n0ynD4bBoT7csbNVmMNu+6BICBHInGVKltrW3ZAFHd0p9LQ2rztG0j3z0UcTBPpgmmaISZSmM+nQ/+x+58aFv25nsted12R+deM8FcO8daC+/QOf6EVNNQclBSTNotkjf935yyyJOU2zNmntLtp9f02lsTm9W0HIbHI13L1gNTV/zKkAhwzg6OqLRaOA4TqWpu2a7BNHuY7B0k8G0nNCcXKjmedFQv2iprzsufhTSarsoQiEIYibT9djsqgcZrmUzns3mCX1FZHJOMUkKfJ/xeEwWRPhpgmUVBOZk4tguOdgqGq7HYUk5JxSls/25x0UoUPc8DEXD9xN6hwMG/SMc16Pu7jZCFz0w5a9TVWdymtSumuswqkrtmhv7p0GwLLDUHJW645KngtEwIK7otZFSVhKwmudUGvuLSc4mYXnnvXeU/t0CizSqy5cvc/fdd/+hX9QahsEtt9zCLbfcQpqmy86Xp59+miiK1qRj5rxA9svBIo2t2WzywAMPnNn1f/TRR/lzf+7P8WM/9mN87GMf+0P/vn4lcU5Y5vh6u+nyPOe5557j1Vdf5X3vex9XrlxZkoqzfI3Xa67vzXr874//7/ixT9tuF/0qW/wquqJjqdZG03yQBARJ8SOiSpW21UZXdG7OylO0Fp0oi4V+nMZLH8nqxCSMQxRVOU7/2gFN0bBVe+lT8RN/ua+6UWdwOCAPcu68fCdSVUrlXQBtqzP3v6QkWYy/NISvS70EstL/ctJLs0CSJQzmpllHdcjyDCkkHbuNQBCkIdNoQv7ge+CRR3CGE0QumKmgdDpk73gHYRgyGo1QVRXTNOnWugSxv5WsQBHh7GgO1+ax0qsQspBYuZqDQGJpNlmWEc2TwuKV0IOa0eBounsx23U6HEx689eE0XDEdDal0+lg6Dp7Tpf9ktSvjt3hYFIy/bFq9Er+XZM603z7BEJQLCyZzhDXroGmFz4TAKmg6iaj4SGi1yPfEoKhqdpuI76uk/7pP82NLzxF9spLkEN+261k998PzMCfoUiVWTIjkTGKqmCoBrqqoQqFIndMIBFFFHAUbpUHVcXM1iyvkJPNMZ0Wk8VWq4VlWdRtb6tc7PgaiUqjvGtZ+NHuJ+u6qlUSGk1RGcYTjuZSJChM7p5ZJAVmSc6gwodhGeZGFK4ADF3H0HUa9UbxHydjfD9gOBwWnxfLwjJNNF2n6XmVE4td5H153Iq6ZurPc5bXOAgDxv6Qu+++A103GQw3vS/Lv6vIqZZiMynrJOqeu9WcvgrjFNG3wZYghThJ6M2Jm2aqYKh09zxm04jpdHMSXZj2y4MKjFOY9uMdUdHvvLfav7IoJbzlllvONI3q6wWKoizJyX333cd0OuXg4IDr16/zzDPP4LruUjpWq9Ve9/VbkJV6vX6mAQdPPPEE3/Vd38WP/uiP8vf+3t87f1+/wjgnLF+HSJKEJ554gslksjTXV7Xdv1683n4VgBf7L/KJK59YS4daJQuTaIKfFO3paZ4y3NH6voCmaMySGQezg+P9KBrTeMosOn7aZ6gGuqLvnHAsJiaL7YIkoOt0SbLjKc4qbN1eelxOIkkTnn/teXJy7rp8F7nIsTQLR7MZBqM1L8kCXbvLwazHdq1SMWWZJT6e7jIIjqgZHoZqkqQJo3BMmh//sLatDkf+YekixNWKRLVwrv9fvVZCCNxb7sTp3ol86RWmsz65rZNfvoitadgUT7HDMIAIXrt+jZRkqeM3TkTAduzdiWF5nhGnEYFQC7naCShSwVRNGmadMInZ8zpkeU6SJSRJQpCGJGlCy24uyUaeQ3/QJwzDopBQLZLfDiYl3guzRm/bvw+GiN4BLd2j1/FhR9Nz2+5wWLL/jtspOlmisOiD0dalD81c44AQdvhLGma91KjfaF3g4L0qvPc9W/+95TQ4mBud0ywtYqxXbsO22+JgfBzPrRkapmagKRqKUIrOojDC1A3CKNq4t6QQy4VynudMxhPGk3FBFo2ikFOrMFI33XrpBEcgGFdIrOqOx8Fgt+RMSslwtt3kvijx7NZb5HpM3XQxFI0wShlPZ2sPe6p6OxqeR388wnVd3JXI5CAI6PV6xecjigmydGdk8jY52Mb5ui6Hgy0BBYHP0eERzWYTzdY4HPYRmqDR8NCkij8rpkqL16n0pnjucoqzC5qsXkpMK2RcRaFkRWqXbXM4PL4udsPEMWziaC4dy3JUpfrBWVDhb1HU7QECl/batJu10r8dj8drpYTni9pyCCGWn5U777yz8LwdHnJwcMArr7yClHKt86WqHymKIh599NFlz81ZXf+nnnqKj370o/ydv/N3+G//2//2/H39KuCcsHydwfd9Hn30UTRN4xu/8RuX5vqzJCxvJAnsc9c+x8984Wc2nsSf9JlcdC+S5RlBHOCze2FQM2oEabBMkdrlV8mznGk83bogXoWne8RZvNxuNXWsYTaQQjKOxhiKQZAEG+3xQFEu1jtE0zXuvnw3o3BEmqfHZn8BNbOGoZhEacQoHJ5K3qUrBoZqLM9vFI5gPrEp0sIKAqMJjd6sV0pWPN0jjKOtxw/FdYyzhJEmmb2tBbSQUlLTHHTFACGIkpDM8EiyBNOzCMOQIAjo9/vkeY5hGFiWxaXGpbknZbcJ39NrO4lkmqeYmsnVEt+IZxZJbw27hkBycHMfR9rcdcedIIoFeppmO59WK0oRsbx2zfIcceUK8oUXUKOYMJMotk723veR33nH2t+risY42L3g01Wd/iIi2fXA0AtiMl/Am5ngKAtB08gXT+ZXYGpmacyxrmjH+992fkKWTjaA9QhhiunjahJfx2stPVfSENiahaEaKFIhz3J0qbM/6C/7GfyZv9Zer6taaZgAHCco70LDrdGv2MdsRy/OAk3H47CEFAGEUUiWZQxnx4tiqUkatosuNUSusH9UHpUuT3wfngy5SJOEie8znc04StOl78U0zaWO/zRysG339Gw2o9/v02q3cB13SUYKj8jxOVk1A9dwUITGfq/8fE7jLagicbZpMgvK358iNrmcSJzELAiW+9VslZrtIqVA09Sd0jHTMBhXyNcarrM1QKBqurIgK7fffvuZlhL+YYKu61y6dIlLly6RZRmDwYBer8fzzz/PbDaj1WotpzO2ba/9bRRFPPLIIziOc6Zk5dlnn+U7v/M7+Vt/62/xYz/2Y+dk5auEc8Iyx9fDDdjv93nssce4cOECDzzwwJpE66wIy+s11+d5zqef/zS//uKvV+67a3e5Ob25/CFe+FXi7LhfBQrJ0yAYrPkzTmIaTTEUg1E4QkpJ224vpyInSVPTbK71mqwiyZKl7KtttYmzmLpRnxOO0XKhuzAXO67D2y++vZBtnVxPzLtaYIRAsGfvEWcJXbu7kWK2gKUWvTO7JGV5XnTDdBWTa9NrgMDVXSzFIiNlEk2XnSk13cOPw53N8VBMo6SQa1OXLMsYhcdGX1MzEblAkQodp410Jcn8yf3YH+P7Prmf8fTRM+iGhmlaWJa5sfBp2x16JX0tnlHbWgy5gCoVsjxnGk6LjonDHopUaLVbS+lby2pyFPaRisRQi6mBKtW5sV2gKzphHGJoBkkaE6Ux8XPPIp97DlSVhlmnp6bg+8hHHyVtNqFRXx5Dw6yXeldqhnc8vdFUsvvuRz5+BfwZqBreLOVAzcjf/nbwNmPGXd2lV+LrqFu1YnqzAy23tZyubEPTbiynC9tgqMYaYcqynGk4W/Pz1EyXWPhMgymaknPHfXejKhpRHDPzA+q2V5ouZupmJRmp+nr2LHdnSePy2CtIkWvaW2VpWZ4tpWadWhPFzPAsF1VoBEG0Fp8rpWRYGpksuNjp0hsOcGs1kjgmCIKlhE7TNCzLwjFNcnZbR1RVZTBeJ6LT6YTBcEi708Y0TJquS2+H7MwPQ/wwpF2vI8yElu0VKXaTYK0Ms/CmVEw9HKfSv+JY1YSl6vdJCFHaFRMnCVEScjgbHKeOSW1DOuY5ZmlaHoDYkYhQ5l8ZjUY88sgj3Hnnndxxx+7tznF6SClptVq0Wi3uvfdeZrPZ0rj/3HPPYdv2Ujpm2zaPPfYYtm3zrne968z8us8//zzf+Z3fyfd///fzj//xP/66WCt+reKcsHyd4OrVqzz11FPce++9vO1tm0+BvlzCkuf5crICpzPXx2nMT3/+p3lp+FKpX0UgCg/BiUnDql9Fkxp1s46u6hzMDkrJChTkp+f3CpKTwWFSLNqkkDStJqpQGcdjXM3l0D+s1Itviy3WFI2aXmMymXDz8Ca1eo079u4oXYRD0UVSN+rcPNFeb6pFASbkjMIxutRI8gQ/Lv+h79p7K9cuL1K8OF40WapF02wWnSNZvpOwLJ6ar5KVbdtIFGZJsYg5SbIcy+G21q2QQRhHDCcDDkdHDIfHizHTtLhcv1RaLmmoRSFkWSrUwtcSJzG9Xg/TMGk0G4j5Mq/rdpZSpyzP1vp6ANpOm6ujaxv7VV59ESPPaEqLQEI7U5C6ixiNyK4dEN/yNtIsQ5Xlnom6tSk1y++/j0yRyOeeoz4OOPAMsre/nfwd79j4e9dwOCzpdDEUg6NpiQRKKIxKOmOg2idRs9xSM37drjGYDDk8PCJNEzqdDoPVviBVEIuQVrOGKhSSNGPmBwTRygKyIm65MPSXy6MMTWfM7oW1oekMSogZzL0pJbIzKQTD2YQkS9dInu5oeKaLQKJkCjf75ROLhR9oNTLZ8zzSNCUIAuIo5osvvoiUcjl5OSm1rDvrcrDxZMx4NJp7tgoZXpVjsZDyTUjTbE2O5zXsopA1TBHIyuJKQ9eBcsJSFbhQSNMqfDKuu0HSTsI0DMYzf5k6tsCqdKwqwhm2p5nZlsldt1/cuv1wOOTRRx/lrrvu2vr7e46zgW3b3H777dx+++0kScLh4SG9Xo/HH3+cOI4xDIPbb7+dNE3PhLC89NJLfOd3fid//s//ef7pP/2nb5kSzD+sOCcsX+M4aa7vdDpbt/tyCMsbMdePwhEff+zjvDJ8ZfnftvWrKFKhZtQqZVFpnoKAa+NrCCHWSEdwYkHfdbo7E76yPFtKkLpOFz/26VgdwjTc2WJfeEw29xelEV+6+SUmkwntdpu3td9GmqXUjNrOfWlSw9bstVLJBYLEJ5ib9+tGHYTAUmwszWYcjrZOgHYd2yoMxWB/uk8y97poqoarFZ0HURoxDotkspOTlZPQVb1Iy4p2P0HWpErfHxxLzgxodVtoQiWPc8JZRDyI+dLgJaQhUXR13l9xvA9VqOhSYxwev47o9RAvvgCDIbgunfvex37ziDAKOewd4rouXs1bkpXCl7J7smCqJiN/x+InCMhUyUDNCOTKgt7MycMBmd9HCgVLNUlEhFQluqKjL6Y3spjeqGhorkqSpnPPUEKSxeT33kt6992kGKRZCDs+T7piMCmTRVpu6XSlXZH8VbdqDGa7iYAqlUoTOzkcHPQQArrd7sZ3Q8tpcLhF0qZZGu689FFBYBkG/g7SUrMcDuLdJECV1X6PmuNyMCgrks0rJzQNp7ZV2hYl8ZJYtrwGdk3F0W3SJGc4Xje7a6q6k3wpioLjOHQuNzkYHBGEIYHvr0gtzWXqWDbvlsnJGY/GTKYTOt0uulZIgFVFMqxY3Dc8j6PR5rGM/dnSL3Sh1aKtu0W542hKkmz+hsyC6hLHsskIzCVYw4rABLVamrZKhFexkI6pikRRVNp7DuSS0cDfkI7tShB7x71v2/rbNxgMeOyxx3j729/O7bffXnmM5zgbqKrKhQsXaLfbTCYTbNum2Wzyyiuv8NRTT1Gv15fTF8dxXvdk5LXXXuPDH/4wH/7wh/lX/+pfnZOVtwDOCcscX4tjviRJePzxx5lOp3zwgx/EcXZHV75RwvJGzPVXx1f53x7939Y8JYt9rf63tt1Gl/pGp8dJaFIrYmPnyV15nq/5HjzDw5x3jWhSKy0ehOO45MV2i9fXVZ2aXlvGE+fkNMzGVkKQ5zn9fp8wCrl44SJtt82NyXEHx2L6IoRgFI2IkghTNVFQSlveAZpWq/C/rBAUISR1o46hGERZzCQa0zAac7N+yb6MJqNotDaRirOYfnh8/WzVxlRMpFCwVYsgCZhE6z/YmqJhSKM0VthQTfKc7f6ePAEVOnsd+rM+fhDg+z7JLMGQOnW3jmM7aIaOqZrsT/aPz/3qa8jP/T7EEUiF1o0BR9duEL/jHfRqNRr1xtq9r6k6YRyVTg9M1VybBKwi73Ro3JxwYK78/XzSkzcaALRXjP5Znq1NA6FILbs+3uxkURSJruo0rSZBEtHBQwhBluWkWUqcxARxiGu4HJV4UyzNpFcyfZFCqTSpb+tNWUVV1LEmVZ770hdRVZVWq7X1u2HXhCxOY/qzIW23sbyOmq3h6Daa1EiTjInvE8Uxk7Cisdyp7exNWWBW0SHTcOqVpKeqOEVTNfqTQro6mx+z0AT1mocuNcIwQVd1ehURwmlWlN5apok1l4bFUYQfBIzHY4aDIUdHfQzDWErKioCJ4+SruludQrZL9nSMnOF0sjSoC5XiXBSd2TRgOgtxTlHiWLNtDl6nN2UbxrPy+9nUq9vta67L0XC0nPhsk47tShB79xY52EKGfc8993Dbbbed7kTOcWZIkmTp2X3wwQdRFIV77rlnGXBxcHDACy+8gGEYa50vVeTj+vXrfPjDH+Zbv/Vb+Tf/5t+ck5W3CERepQn4Q4SwQtf6VsJsNuPRRx/FMAze+973Lg2uu3DlyhVqtdrrMgK+EXP9k/tP8pNP/mRl8WHNqBGmx2WMllbIoeI0ZhgMl94QW7cRiLVksW0w5sb0KI2KlLGsSBk7mfC1mHBUJZCZikndrJORbaSOpVnK0eEROTm37N2CqZvlpn4BXauLRBKm4Zof5yTadocj/4i8pAtCSoWW0STJ02IhdMJPs0DLajEIBsfXYIso3lRNJLIoVFyBpqi4uosqtWVT+7ap0HJ7qaNLfasPZ4Ga7jE7EYGc5xBFIb4f4Ac+NekRyBDLsmh6TWzVQP+5X0T2+yQ1jzQHX8kJZhMSKYm//dsxvfXUnqbVpD/bvZjfc7vsT3YTvdY0Zfhrn4YgKEzyWQ5JDI0G6bd+G57XZBLMdoYbGIpBmmY7o54VIdEUnSDe/RlpWU3iNF4mdRXXKidOUsIkxNHL5WIdt02vhGx4plNKaAQCUzN3xgjHSUwyiQiyiEajsfW7wTWd6pJGy2O4a9IFdL02eZoDkjCKmcymGwb9mu0xKvGN1GyX0ZZ0sFW0vUYp6VEVtSgULZEodupNesNyOVi71oQMRK4wns4Iw3V5pq7pxElcSrYbjsurN24wGU9IsxRVVedSS7OYViJo1esclRAWIQWqVHZG90IhwRqWdMXYhknbazIa+4xGm+/L8ng9l0FJEpkUAillqVTrNB0u3WaDg/6gdJt2o741WW0B2zSLPqBZslZYqSiSH/8HfwPLNJbbHh0dceXKFe69915uvfXW0tc9x9kjTVMeffRRpJS8973v3RkOkaYpR0dHSwKTJMmy86Xdbm90vty8eZMPfehDPPzww/zkT/7km1JoeY43hvMJywqEEJWa7rcC+v0+jz76KJcuXeL+++8/FftXVfV1TVher7ke4DMvfYb/+Op/LIods4Q02/5620zzq/4CTdGoG3VUoTIIB2tPrrdhQVAWMqzVnpaG1UAiGYZDNEXbGUe8CkuzkEKueUxszcbRHWbBjBdvvIiqq9y2d1shyahIIGsYDQbBgDiLl8dVM2ooQmEaTZnNO1fK440LKFLF092NLhZVqnh6DVWqRGmEKlSO/D45GeLmTcRzX0T0++SmQX7HHeRvvxvLcCAXzOLNp5JxmtD3ByhSwdUdhsEIUzWwNQdFFCb7STQlziIUqWKp5tyYv+OaqjZhGm0s4oUoCsUMw+Bu6+1cH94g9TPG4wn9fh87imj5R4i6jqZkmJnAz2N0qdIKE5REJfc6y+mEpdpr05mTqJu10r4VTdGZepLsj/0xxBc+jzg8AinJ77yT7F3vQug6IhflsdG6y2FJZ0zbabM/3k2YOk5re8zycv8O/aCPbRUkXREKQkiyLCWKY4IkqmxZ15Ry30HLbXI43lF0GkUMjo6wbZdGvbnTGG5qZilhcQ27lKzA/OHAiqRM0SWe6aIpOmmSkaZ56aIaQK94mHOaCOGG61WSkSjZHWYBYOrGnBQd3ztew8FUTaIoZTSeUrPtZefILuRCEEURUgo63QvEcUzgBxzOI5Nt2yEMg7nUcvtvQ8Otjiquum6zMEBRhozDGZqjULO8QmY1PJZZaZrKsIJonCY2+TQdLvEWudoqhIBxhTQtJ+fGUfHZ1JwidYxccqHRXCMrh4eHPP7449x///1cvny58tjOcbZI05THHnsMIUQpWYHi893tdul2u9x///1MJhMODg64evUq//yf/3M++9nP8m3f9m1813d9F/feey8f/ehHefDBB/mJn/iJc7LyFsM5Yfkaw2uvvcbTTz/Nfffd97r0slLKUxGWN2KuT7OUn336Z/lPr/2n49ebm9sVoTAOx8ukqq4z91yU8MI4LWJm92f7xdNCq4UUcimtWkVlwtesWPg1zOIpsCrVYmKzYxJwMi55gVk8oz/pc3h4SM2rcc+le4r0oBOyt5PYVuK4mjwGxRSpaTYJ4gBVqiTZ9oWPJnUszdz6mkmW0A8WaWZdhuGAullDf/U66W99jlEekBkaYjxGPP4E5tgn+4YPbpznKlSp4OruUjoVJCHBicmZozm4ukuWZzSlwjSabUjCdEVHCEFYMlFomE0OZ0dLE3KtViNJEqKDA3JykijCyyVHWgbkxIbCQCRk6Zh8Lu1rWg32Z/tomoqlWWhSQwqFPC+Mtkkak6RpZezz0fQIuh3yb/6TEEWgSJhn/3ecdinhaVqNUrJiaVbpv0spmEblshZdM5hEM2axv5Vsdt0Ow9mIuumgSX0uOcsIogg/CrA1qzQqGdj5XgVhwOHhIXdevJ1I7P4+KeRR5a9h6SaTcPcC0lSNjfSwNMvWfDcdr4UjNGzNIssF05m/1rGhSllJRppOrZKMlE0ioDDsV3WIeJaz4bEY+9NlWIBqqWimoKPUmUx8gi1GdU1RefGll0jSlE63iyIVNFXDtmxycqIwxFQ1rh/sk6YZhmlgLSOTj3/uT/OQa1IhwbIMYynTipOUw/EAWEjHXHRpoKJy/aDMO3S62GS/QlJ2skRzG2quU2nsdy0Lf+7JiZNkOXX7E9/wruU2vV6PJ554ggceeIBLly5VHvs5zhZpmnLlyhXyPOehhx56XaRCCIHneXiex1133cWtt97KnXfeya/92q/xyU9+kiiKuPXWW/ne7/1ewjCs7Hw5x1cW55KwFURRue79q4k8z3n22We5evUq733ve2m326/r75999lnSNOUdW9KIVl9j1VwvhKgkK7N4xv/x+P/Bc4fP7d5IFCZyV3MZBINS2RDAnrPH/nTLU3IBdb1ICptFs2Lxd4qEr22kwdZsHM0pIpPnErSyuOTprIgdbdQb3N69nb4/358oFrmGYhCn8Zo0a1uy2OYpCdpWh97cJ7PsVZEGYRYxmh+boZqoUi01vAN07L251yeHHORnP4s47CEdj1qmomWCPPCJ8oz+t38zbOn+gGJBU6uIFRYCGkZrSZQWMBQTR7dRhVokIuUs/Ufb4GouYRptTy/Lc+RnPsPeq4dcrevFpcxBDQJy1yH6tm9Dt2wszSqmLCWRzS27TX/Wx1RNDNUoDPII0jwjThMsxeDmqLczS9bRbII4JN0h15NITNUqDS5o2c1Sb8pqstk21Mwao2D302hFSFShlUgyBRdre4RxhCo18jwjihOmob98SNFyGlvN5b4/4+ioT7PZpFVvEZS0zu/VOuyPdhM7VVEhz0l2TGEB9rw2+yWRzFIqKFISn5hsWLqFo9uQCxQUbvbLF8w1q1wy5pgW0woPzF69xX5JdDMUhGXs7/7uswxzLXjANWws3SKOEobjKWmakYURR+MxnXZnJ+lo1gozfZIkBL6PHwTEUYSmaZiWhW1ZWKZZOpHwHIdxBQHrNhocVPhxWrUaQRTh6Ityx03pmK4VEdi7cJoOl3a9Vmna7zQb9CokY7vka//jD/11Oo06BwcHPPnkk7zjHe/g4sXtiWHnePOQpimPP/44aZryvve978wIxWAw4CMf+ciyv+5XfuVXeO211/jWb/1WvvM7v5OPfOQj5+lvbwGcE5YVxHFcqlH+amFhrp/NZjz00EOl5vpdeP755/F9n3e/+91b//2N+FX2p/t8/LGPbycXK1iY5heTAUd3sFSLMA3X5FRSSFpma0PutA1dp+gusVWbKI12yrxOQxo0qbFn7y39JfHKhGOZwjOZ0Gq3uK11W+mESFM06nodQzU4mB3sLGiEYsHV0Bsc+SULO6nRttoIIZhE49KAgvV4YyAIUH7t14oUqnmBqJ0qZOSE0yHWN/wxzAfeQ5ZnRV/LfJErpaRu1OiXkBUoQhMOZ7uPXSBomE36fn95D2hSI89zojRkEs2KlCihlE56GoOIw8/8MmoYIoUEAZmuM37nOxm7LiBouy1SJcM0za33bsfplKaGWZpJnCTk5Jiqia4YqFICgjTLSNIEVWqlMcJdp1tKNppWg/5stxxRVzWyLN8a/b1Aw6oz8HcvzLpOOeFxDIdZ6G+dMlmaiaVZmIpJGMeEUcQ0nJHnMJlOGA6HtFotbu1e5nC0+zoIITBUo9Sj0621Sg39giIlrWwq1/ZaHJZ04ADULI8oSXB0C5FLpn6wTgpMu1I+1623SntkAGzDWhrtt8G1Tvs626+rRDAbTjFVE820iePtZENVlbmUd/39TbMiMjnwAzQhmEYhlmlhWvPI5BMsvdNoVIYD1ByndKqkKMV0c/VYNHVdOmab5rLcche6rQYHR+XHchrCYlsmM3838VFVZWvJ7MVOi3/4t3+A/f19nnzySd71rndx4cKF0tc6x9kjy7JlfPFDDz10ZmRlNBrx3d/93dTrdT71qU9hmuYyffXTn/40n/70p/md3/kdHnjgAf7Fv/gXfNu3fduZvO45Xj/O511vcaya67/xG7+x0ly/C2UpYW+ErHzx6Iv83DM/R5IlSCl3Ej1Hc8hZTwebRtOliX5RDpnlGWmeVpIVRSjUzfoy4Wuxn7WEr6Aw27ftdmXkL0DDanB1chVYj16eRBOu7l8ljEK63S6XG5crE8iSNAFRJKUhConZIsFsNepYVVRc1S0lKwCWajII+0syYarmvKtFMIkmyxjkDbICoCgFWZm/N3aqkImcgOIYJ0rK2D/+G1Mz8QwPTeiMw6Lccpd8qmN3Sqcm5AWh6c0JTZzFG1I2VSjUDI88z/EMlyRNmcU+QewvpxwGBs/6NzE/+EEagwH5dEpuWeS3347rejjk1KTHa0dX8Sc+R0dHx83hloUiJZ7ulprwoTDKLwzm02jK9ESnR0FGDtFUFVMzixhoJAKIsxRyOCzxnUghiUqmPzD315SVQNpNjmaDnf+uCKWUzEBBSqY7ZFh+HGCoOtdGx+lmUhUkfoyIE+6/626kopJUyKPK/C8A5FROLFpOYykx2oUyYgfgmS4jv1gMr0afW66Jo9nkuUBFqSQSZVMRKDpRysoiYS5/q3idWbh9MZ2mKTd7PRzDIrcFsQioOQ6GahKGyTyCVyyPZVs6mCIVHNvBsR2atRrX9/fxA5/+UZ88zzBMsyAwpomUkqlf/v5YhlEpgdtWXHlSOubWPHTTYzaNmc62n38UlX9upBCVPhnXtphUpJk1XJfeFkP+u+95Ozdv3uTzn/887373u9nb2yvdzznOHguyEkXRmZKVyWTCX/yLfxHbtvnFX/zFpQFfCMF9993Hfffdx9//+3+ffr/Pr//6r5/HVn+VcU5Y3sI4Ojriscce4/Lly9x3331fVrTeLsLyRsz1v/fa7/Hvn/73S1O9IhVaVhFruloO2TAbTONpqUwnSArfRpoXcp623UYg6Af9DdO+ruqYirk1rSpKInpJsYA2FIOG2SDNU3RV3/C9LCClLKKBV0jIInp5kQRmSIO33/52TN3cKHo8CVWqeIZ3vJCfN9uPKBaRy6hjinCHwwqyUjcazJIZ8cqU5mR8rqM7NPTmMtJ5dTqEppHfcivihedxhEGi5YQihckUbIf8xFPCKItI0pQD/9r8fBRc3UNTNJIsYRJNiNP4VN0vRRdOOaGpmfWtpEdVVRzNIYsy9m8ecLF5Ec3WiC5e2qBP3fnkpF6vU6vXN5rDTcMkcVJQ2fkj13W7HIx3n4+j2cvJSpwmxOnm4rRu1shlWkwoVB1VqpAL0iwlSmJszS412nuGQ69kWiAQlYSn7TTZH+1+DVu3S5PFitc5/o7J85yjwQDfn9HpdBinE5pGnf50hO1YWFqRMBcnKePZdPl5jeJyv0HTra8VL25DWWEoFGRkWNIhA4XJfRxsLmT9KMCPAiQCVdVwajq2ZhW9KZPp2vdk06vTH5cf62qc8C5UkR7PcrdukyYpB70DdE3nbbfdvlzsj4IpzEm17mrUTJc8k0WiXQmkFIxn0yWpzxv50rQ/nozp949o1uqMJ2Ms09r5mXEte2dvzgJVWoU8zzmcDJaeI7thbkjHDF2rJCONmsvRsNy0b5tGJWHZJTa52KzxhS98gfe85z10u93SfZzj7JFlGU8++SRhGPL+97//DT+0PYnZbMb3fM/3IKXkl37pl7Bte+e2zWaT7/3e7z2T1z3HG8c5YVnBW6mL5dVXX+WZZ57h/vvvP5N895OE5Y2Y6/M851PPfYrfeOk31v57mqVLErGYUNiaXSRjVSyyTpKahcRIiqIrRZUqo2hUdDOsJIHtgjn3eizJxXzKYSgGfuIfd64oOpZqbSU/cRJz2DtE0zVa7RaZyLg+uV6kjpmNrQEAulL0h6z2w2zsN43xE588L1LRPN3DVC2iLGJ0Iuq4abUYBcOtfppV2KrN1clrLE7WMzxM1SRNU0bRmOSd76A+mBH3bhJG8yWEZZG9/yFY6RuQQs7lacfHn2Tp+lREwEX3InEW03G6hHHAJJpsTGG69l7lJKrrdHYSmiRLuDnYxx/46J5BbuZEWYSu6tiajaao5IDMJMOVicK25nArt7jWv14YKDUVc/4kWdM1BIKa4ZVKxQQCVWqk2W4pSdftcDCPSfbjGX68/iTd0kyO/ENMQy+mM1JhITUL4hA/9FGkWhoG0HbLk8M0qZV6YwBs3dqIr16FZ3hLyVqe5xwdHRHHMd29veXCNc9yIGcWzda9OorAsSxqZp04iRHSZeJPl63uq6hSIXuGU1lYWZCRkqjcU5ReNr06h+MBURItp05CFdQ9F0MxCKNkZwLa8evItUb1bWg4tdOdzwnCkiQJBwcHmKZJo9Eg3PHgJUpiepM+uqqRpAmNllf0isxCprN1UtHwPI6Gq58Zga7p6JpeBF2kCY5ucPXmTUbDIaqqYp6ITAYIK0ipokiGFdfFc9w1n8yi3BGKhK665WKqJjd6A5IdEjg4XYBAEL6xKY0kZ3x4wIMPPrizlPkcbx6yLOPzn/88s9nsTMlKEAR83/d9H1EU8Wu/9mu4rnsm+z3Hm4tzwvIWQ5ZlPPvss1y7do2HHnrodZvrd2GVsKyWQcLpzPVhEvKTT/4kT+4/WbpdnudoUuPauHhKv5BEzZLZhv+iY3d2muazPKMfFIvnhtkAisW5IpWdPo6aXiPMwvV/n085FrA0i7pRJ8+LFLKN84xCDg8PcRyHC60LKEJZ+mPW0r0Wci/VJMkSgiSoJFM1o0aQhERzedc4Gi+LGFWpUjPrKEIikBz4B6VdLAKxRfKWMw5HjOfHIYRkr3074iO3orz0IvHRDRJTJb90Gazj7HkpJA2juUxU24U9u7tWjgnFdM2bT2GyLEURKvtVZMXu7iQ0OTAZjxG+wGpYaxn5URotPUG6oiOFQpiFGJqBpVmocyIQp8UCtGN36E0P6XQ6RUpWWJRVHvQOkFLiWA7SlWQiY9ft37E7palgpmbSL5FpQRHp7Ed9kiTdGtHd9lr4cUDTK6K88zwnTCJmUWGEV6XC2C+XHDWscjmZY9ilhAeYX7/iO+jo8Ig0S+l2u8sUnrrplUjOcqbRDF3Vl9dDapKa4WAoBnmWMw2CIqq8YjJiqMYyOWsbFKlWTmhaTp1emSwNtspYc/J51PIYTSkSBVstDwWF6SzYMH833erSSrWioV0IsWH6j+OY3sEBlm1Tr9fxLKdSUlazXXqj/tr1tWsmjuEQRxmjUfmkAkBVFISqFJ+ZPCMMAvygSIYDsEyTZr3OYDIu/GQ7UHdcjkYV77OmsYvSxElCbzyg4XmkakCj5qFJnekkZOYfkzAhYDSpLpSskq9ti1aezmbc0vDeUMjNOb58LMjKdDrl/e9/P/rch/nlIgxDvv/7v5/BYMD/8//8P9Rqteo/OsdbAueE5S2EOI55/PHH8X2fb/zGb3xD5vpdWBCWVb+KmBd2VaEf9PmZL/wM1yfXS30Ni36R1UX0qiRqkcwVJuHSlF6FbaTG0ixczSVaKUxsmS1G0WhnWd8CutQ59A+LUj6pUbNqRTdLNGQ4Hi6TwC61LhGm4e5EszkRyskJ03BJIIA1WdwCDbPJJNwevwwLMnRI1+6yP9ufn6NTeHLC0VrUsRSShtks95BQpJf1/X4hE7tYQ1ys4+rFU8s0KyYwWZ6eiqx0ne5WIpKuTGHaVov92QGGquNoTlFMlyaMo8nyvDt2e+dkJadIazFjHbWh73yaJhDYqr2MWw6TcCMVyzNcpsmUhlNHkyp5Xky4ZpFPlEaEQYiZG1y9eY08z5aeF9M0kXP2UvSplC96LdWkHw92/nvLanFU4p9ZlHb6sb81XcwwDNp2izhJyObnMA1na3JJS7UqpV6majEtMYXXDJf+bEiaphz2DhFS0O12174fFFm+8PZMZ428ZXk2TzQ7Xghe9PbQTAVFKIRhzNifrH2baFKlXzEparl1DkoSyKC6E8XSTfoVU4+GU+NgdLQWtGB5Jq7ukKUwGE8qpWuKotIfV79OfyV6OYoier0eruPi1byi9d4wKks4t0lfZ1HAbO7NMh0doWV0WjVGE3+rN6TmusuCRikklmVjLSKTo4jA9wlmPofDIYZhYFom1onIZDidWqEq+UtTVYaTMXkOg+nxPeQ0LGzdIgpTRC4ZjMrJvOvYWyOiV6Gc+B1cSEr/5p//yDlZ+Sogz3OeeuopJpMJDz/88JmRlSiK+IEf+AGuX7/O//v//r80Go0z2e85vjI4Jywr+GpKwmazGY888giWZX1Z5vpdWBCW12uuf2X4Ch9/7OPL6cGi1DHLMgbRYPmU0lANDMUobUOfxTPCJKRu1hlFIzp2hzRPlyb5k9jllVgtmdQVna7VJUiD1x1vHGcxh7NDcnIm4wm5n3PfLfdhWkXXSRX5aVktRuExSVosmleN+37iYyomhxXt9bAe57wqLRJCUjeK5LEwiZBCVpr160YhtVtrlSdfm+pIIelaXTIyWnaTcTjZKuEr5Fvl5LJhNugHA5gTuEXvzgK2btMwGiRpSt2sM10hMXAsQbKFg97QUUqeSnfs3XIyKAIN0jxdu09WYeg6t9YvE6UxnU6b6WzG4eiI8WhE/+gIwzCwbRtLcbbel8vjcNr0pmUJb2qpBAug47ZKvS0Cwc3R/kaUsmWYmJqFIhQMxWA4GzENZlsfJnhmeZElgKpoJEnCYa+Hqmm0Wq217wfPcColZ1WTEV3V2R8drl1TRTsugkySFE1opVHGQOU1rVnHZvtdcE1nGbKwC3606dFY+F8AHMcCmdBtNQjDiNGWUsKm49ErSVSD9cVyGIYc9g7xakVXBAA5jCumK7ZhMpqVTxEc2z5Od5NQaxbStyCIGU+Ka2rs8OMIBIZuYOgGNcdBMQ2CIMCfzRgOBqiatkwdMw2zUibn2fayw2UX6q67NalsGvjL0IaLrTYd0yVPYDD0t/o0q0IigLVjmUyKRLzLly7xDe/Znqp5jjcPC7IyHA7PlKwkScLf/Jt/ky996Ut85jOfOSeiX4M4JyxvARweHnLlyhUuX77M/fff/6YQJyklURRx/fr1NZlHGR678Rg/9fmfWlvExmm8fLK/MNtrQmMaTyslUYZSNHMvSM1iga9KlabVXE468iwvksBOMYGpm/Vlwpcijs3/42i89sRxV2FlTk7/qE8YhXQ6HUzL5NA/xNZsmmpzradlFWVytoVxHwrSNYkmdOz20oOzjQh17e7OeOg8zxiGQ9RYw9FtJtGYltVGEZJpNGWWrP/wF9OcCUm++4e6kIE1uDlbDRIQuEYROb2IOvYMl4OKSU7NrDGJJqWLeykUDqYHxCvnvoi3zrKM166/iiUsrIa1swcFqskKFNK7somRKhRuTvbX3ge7ZtFoNdBylSiIiP2Y61evkknQjELHv2quNjSdYVDhkbCaS2/LNtiaVTnBcQ2HXrx5Ln4c4McBnuHOSVOO1CSubmOoJiIXxEnCJJyiKeUPP2qGy83BAb1eb+mXOPkdpKs6lJARS6ue8mxLQUvzbCkzEwhMzcCrFdHKaZoxms1IVqYlDbfOYEtHzOs5ViFgNCtfUJ+G9DiGvdY1ozs6NdOFrPBDxHFCXJFktjqBCebSq0a9geMeT9cbbrUHxjXtnSljC5yUwBXnV5yj6Rl4pgtZjpRiIxZ5AdssCjI1VUNzNTzXW4tMHk/GNB2XMM+wTAvD3IxMBjBXSid3oWp6BTmD6Xhp2peGoGl7qEJjMg7wgwhNrTbt1z13Ga08mUwYjUZ0ul3e9477KuV85zhb5HnO008/zWAw4P3vfz+GYZzJfpMk4Qd/8Ad56qmn+MxnPnMenvA1ivMelhWkaXqqpzFniYW5/oEHHuDWW2898/2vmutffPFF9vf3mc1mtNtt9vb26Ha7W59g/NqLv8avPP8rlVOLxZQhzVPqRh1Naoyj8YZW39M94izequFfhaVZuLpLnhfTgF0FeIt4450TnXnJpKEYKELh+vT6xiaLJLA8z2m321z0Lm4lSYupUp7nDKMhLbNV2T0D2ydEcj4tKZ6+z5glM9pWu1LepSsGhqIvpyOrsFQLR3fI8xyBLBLWSsz6C7JyFJQ/dW+bHYIkwFJNEOBHPtMThnJXdwmTcD2d7ARM1YI8J9jyXiZJQq/XwzM9mq3mMgkOBFEaMQmnZPNzqRt1xmE5MSoz8xfnLnB1j1EJ2aibdYbBiDRNCfyANErI42KCYNsWmmFQs71Sb0vN9Bj701IjfctqlsrFamZtvqjcvY+m3Sj10NTNGlGaYGkWCgpJmjAJZ2tli45i88VXXsBxHGq12gZZcXSLaRiUHkfXa5d6aBQhkUItDeHouE16W0iPZ7gYqkGW5khk6cRCVTXyLCtd7LbdZiW56njNcg9MXiy6TzbXr6LrthG5wA/jnSWMnVqT3miAP/M56h/RbDY30oqKbcqPt6oHRle1Zc/QLizCAVSpULM9ZK4wGs+IouPfxG6zyUF/97Hk5NiazrWDfQI/IMszTMMsJi+muZQVVpVB7uqTWUVVuaVr2jTsGsPxjPF497VZFEqOJxPGoxGdTgdd1/mB7/oQD7/z/p1/d46zRZ7nPPPMMxweHvLwww+v+Re/HKRpysc+9jF+7/d+j89+9rPccsstZ7Lfc3zlcU5YVvCVJCxZlvHMM89w/fp13ve+99Fqtc78NXaZ66fTKQcHB+zv7zMajWg0Guzt7bG3t4eqq/zCs7/A4zcfr5yYlJUy1owahmrgxz66ou+cLKzC1V3SLMWfd4sgCiP9Yj/LhK/5orbq+BYxw32/v/TPLHwvURItk8DarXZ1rwjFE+CO3SHOCv/LLJ5t9bgIIU5FQlSp0jSaAKT57umLqVmF12GXn2aOheTN1mwszSZJE8bheG3SUhCmxkY7/ca+zDZHfn+DsOqKjmu4KEIhTRNmiV9KQjWpo0t963WKouI98ByPC529DTIExTV3dAdXdQCBHwdMwsnWtvmG2dg6DVtFYcTf/b4oUkVXdPwTsqPCgBziBz56ojOOx9SdBq1aE9d2IYcgCZdpU67uMg53P6GvIitQfIbKWu2ryArMiya3mNwtzcTSbVI/4ZWrr2LYFqZjbd1HxylPKNPVIsGvjCR03TYHpyh5HPm7z9fWLPw4wDWcwoeVZAxnkzUZULfWLi2kBGg6tVL/iqooxUOekvNpOtXRzF3v+Fh0dR49nAqG0+nyd6Zme1w/uMlgMKDVamFZ6++BKiQIQZLtfgDhWU5lbHK33txZSrlA29vefVOzXEzFxPcjyEXpZERVJHleTEdyjiOT/cAniWN0XafdaJKK8jjoTr2+0eGycU7NBgcVzfXNWo3+aIShaXiWSxbDcDQlTVc8kabB/kGP8Xi8JCuqovDjP/JfYRpnI0c6RznyPOfZZ5/l4OCAhx9+eONz8EaRZRk/8iM/wmc+8xl+8zd/87xH5Wsc54RlBVmWEcflZs2zQBzHXLlyhTAMeeihh0rzv98oFlOVxdu7y1wfBMGSvFztXeWz48/Sp49pmdTMGq7ubsiiTrsgh0KK5cc+lmYRJuFOktE0m4yj3aZ0KEz7db1OkieVcjFDNdAVnXG4uQDKkgy/7+O6LoZnYKrmRqnhSaySn5PH5OgOcRozCkdIIbdudxKa1LA1m2Fw/KMs50WKmqLjx0WqmqM5pHm2LIjchY7V4TDY9MkIIQvyKHXCJEJRlFKfEewmK6swNXPeDRLh6i66opNkCeNwsgwIUISCq7kMt7znvl+UPDbqDW7p3FJ6/VWhYGn2ynsp5nIyE4EkSov+mDiLd3buwOlIwiJZbBcMzSRNEqb+FN/38YOALMvmcckmtmVzqXaZOI0KWVaWMotmayZwVSqFvyneTfQ6TruUJAgEjmEzCXcvVJtWYxlTvA2z2YxkEqM6Grbt4Og2pmYiEQRRxCSYYukWfhiUksCq6Uoh9TJLPSN1y5unc+1GQQDWX0cIQc300BWdKE5I44zJjmJMAMcoDx8A6NZalaSn5TY5KpnSCAS6qm+N/xUU5MzSLK7f2OfazZu02+2tT5Tbteax72Tn8TY5qNimbrsMZyUx0EIiK4iRa9qkaYZr2iRRznC0GVvdrte3FlcCpGmCHwRYisqNwx6KqmLNwy5WI5MBWrVaZcqYZRr4we4J164pjSIldcdD5ippnPPyq1eZTCZ0u92ld/SBu+7gh/7ynyt9/XOcDRat8vv7+2dOVn70R3+UX/7lX+azn/0sd91115ns9xxfPZwTlhV8JQjLdDrl0UcfxbZtHnzwwTNrbF3FG2muvz65zr/9g3/L1f5VfN8veisUtUiBsSwc0ynM9vMFcdWidzGNOEksFk3tSZYwnHePlPlBVtEwG0zmZu1ls/0J8z+w3P+2J//T2XSZBNZutNGljiIVVKFulbLBccdK1UTH1mw83SumJSd6Wk5eA0WoTHfEMy/QttooojCQD8PhWlLYKjp2d04ed18/RSh4Ro1xOC7a7KVGkIZMwvHaYrRltulXkBVd1dGkxjTaslgW4GoutmahCp2+3z+emM0xnUwZDAe0mi1u69xKb1Ziss6hZbdKPSlyToySLMHWLISQxGlS+HjmBNjSzILUlEiS2na70pzetJr0V0hPDvOnyD6+H6DkEqFKDNPAMq1leIChGNi6jSpVTGlwOB1sTQWDghwrQt0phwTouO3S/hjywmy/rTgRCq1+MosxPWun9EKRChe8PeI0IUszxv5s455WFQ3IS1vniwlN+YK66TRK08EUqSIob7dvOg1G/hjPnN/fQVhMAxZff0HAnl1jP41KfVKu6TDZcd2guP/jNC79jLScBkdVXptM8tL117jl0mU6tfa8uHI9eazheqUGdiEEmqKWpqLZhlnpb9k1XVlFt97iYHj8+VClQs2aS8fmqWOnJRrT+W9MMCf9wJL0u45LTl4qB6s59taQg7VzatQ53NJcv0BOjgYcHva5/fLbyFKxDB/4yx/6U3zT+84N92828jzni1/8Ijdu3ODhhx8+s4e3WZbxD//hP+Tnf/7n+exnP8s999xzJvs9x1cX54RlBW82YVmY62+55Rbuu+++N8VcvzpZOU2/CsBTvaf45BOfJFh54pvlWZEC4/sEQYCUkpbbwrbtolzNrO9spFekQs2onWrK0HW6hGnIMBiWTlfKSM0iTnnxhK5Y3K/vKydnPBozmUxotVt0a13idNNT4xkelmote1Vs3SbP861pU6uwNAuBYLaQNc3lbKZq4if+cjrg6i5JmlZOTI5Tvor7sZiUeBjSIEhDxvNI5dO0zqtSxdW9rVMMTWq4uld0cOTQm5UTR03RMFSDSYncCYr44gURMRQDR3NQhMLNw31u9m/Qare5tXVrZfpYx+7Sq9xm91TE0mwczUZXtLmcbLqVtFiaTZzE5feg06FXYqIHcFSXG/2bBIFPFEZFepJVlFWqmlbELYcz8jxHVRRszS56SoAwDpmE0yL6uYSMKFJBleWEpu20tvo0cnJGoxHT6ZS7brmLIN29kHV0m1nkrxFaS7NwdBtySRCG2LpVmnIGxT2/nAT5PuKllyAIoNUiv+02HMtdSul2oZCUlaeHNew6gxMTJV01qI0D1N/4DLNXrxEpgrjZJPvAB8hvubyxj1NNek4zgSkhLHlefBdFQUitWV/zECpCUrM9FFSiKGU0Lf+ctbw6R+MK6dQpJjBNt06/gmBZholfQnxaTgNVKkynEdPZ9u22+U6WkclBQOD72LpBmKY7I5Oh2ksD0KrXOdox7Vl8DrI4wa3XlvI0UzeoWS5/93v/MrWV4INznD3yPOf555/n2rVrPPzww2dW45DnOf/oH/0jfuqnforPfvaz3H//uQ/p6wXnhGUFeV58cb4ZeOWVV3j22WffdHP9wrNy2snKf3r1P/FLX/yl3X0j830bucHh+JDxbFxIPOaLMMuyaJgNFKEwigpJlCrUneWOC5w0zRfdIg0E84Sv9ETCV8WiFYqFaz/oL4sMJ9EEP/Y3ksD23L1K+RkUT9xVVOI8ZhAOthbNwbwQMg1K5Ui6qtMxO/O+lf7OaQkUQQbDipZ7TdG5YO8VU5JospMAKVKdy7IqivbMFoNwsCQ3CnLuGzq+LxSp4Gg2oy0yu1VsI1F5njMYDAiCkL1ul9ubtxOlMVmWMommGzHIsJh4lC9SqyRcy21W5IuWahVFk0JZSrYMxSj1i9i6TRRHpfdMcZ8ev06aFqQ/CBakX2Gv1iVR0g0JzAKe6SHyQtKY50Wj+CScrpHIrtspTR+TQqIrOkG8fk1zcgb9AUEQcM9tb2eyxTMEFKTi6lU6is3BXh12LCRUqWCoJrqio0qNKI4Y+9O1UISW3VzGIYvXXkP+1m9BHBdRXXkOzRatP/eXOMh2k69jSdluku8Y9lzqdeLnzPdRPvWpYroS5viKwI5yYkXj8M9+lKyzHm1aacjP5wb3kmMxVJ0ojrfOO/M8ZzgYouYCw7NL4+v3ai1mYYipmcRRwmgy3djnaQhLlSFfUzTSLNmQd63iND6Z1SmNpZu4hkMcpQzHUxa3xGmIhmuZXD84IPADoihci0zWNA2BqJaDrXhpTiInZzQcksYJXqO+4aV5+6238iPf81dKj/EcXz6ef/55rl69euZk5cd//Mf5xCc+wWc+8xne9a53ncl+z/HWwDlhWcGbQVhWzfUPPfQQzWbzTPcPb6y5Psszfu6Zn+M/vvIfgepG+iP/iCwvjJRRGM31+z55lhejfMtir76HpmgoQmEST3ZOJRbxxjslVqJIhFrItU62q2/DLlJjKRajoxFhGmLVLS54F04lPztJGhSpUDfqSCHX5F5Nq1kY2yvIT9NqFmlqWYoQYpmothomANCeX+uqzpauvcfB7DipzNFcLM0syvrm5n117pOpkrItyMq29C1d0fF0FykURC4qW+z3thRMZlnO0dEhaZrS6XTout1Cdray/DJVC1d3EAiCJEIKwTgYlyaCNcwGQ39UYbJvl0vOKAjWOJpgqxaqVAs5WTRdJmkJIajpXmmMsaXZxGm00wOQZzmOtLl6eG0pgVno903DQMxbw+tWjeGJNnlFShzdxVB0hJD4gV9IvRYf8Sgq/mfbIGVBaE5MIxY9N0kS0253aDoNxsHmQwXxzDPIRx7B9WOmmiCXkuw97yF/8MHN6+Z2NiZBipB4pocudaIkRmSC/mwEUYTycz9XHKeiFIQlyzCSlPjutxP/iT+x89q23SaHFa31u3w04oknkI8+ClLiJTDW5kQpy5BvuwP3I9+NKjVmfkCcpCRpUn7POdURw12vtXWikec5g36fMIy49867GW25/isbYxnWmu9HUzTqpkueC4bjGQJRSTSqvCtwuhSy05j2d8nXNEWlZnqQCcIwYTIrIU+qSrLivcyy+aR/QfqFpNNskpCvfW5OYpeXJidnOBziz3weuOduBlsij//Ct3wbf/J97y8913N8eXjhhRd47bXXeP/734/rumeyzzzP+ef//J/zL//lv+Q3fuM3eO9733sm+z3HWwfnPSxvIlbN9R/84Ae/qub6Vfixzyef+CRP955e/rfVRnpHdwqTfBxiquba03KBwDAMDMOgTp04igviMst5rv8cuqEvpy91q46pmARJsIzjXcQbly6i8+IYUWE4G+LqLrZqF9KqE7G+UkhaZmsrWYmTmBs3bqDpGq1mi0veJdIspWE0GIbbyyphe/pZmqXHvh1REDxP9049qSlISLHD1Z4WOI5yVoXG/nT/FGSlu0ZWAKbxhGk8mV8ThbbVxlCMggzl7NTsl5EVgCiN6AdDarrHIBxgaAau7iIQ+LHPdMWHUXTJrL8PaZrS6x0ipaTb3aNh1bcmeQWJv5wS2apNnOd4RmGmTrOESTQjWpnCWKq1IVc6CVd3GATlT5+bZnM5FQlOmOAto5jEOKrNOJgW5Yo7PDCGqpfKBi3dJEpjms0WjbkExvd9hoMhR1mKaRhcbl3maNrfaJRPs2wZw9y0m4yTMZqu4mYqxm//LtlzzzGRKaHjoL3nvfTvW/9az/KMw8ND8iyn0+1ywetuNfSL/X3k7/8+ZBmm1JioAtIE+fjjZM0W+e23LbdVpbJBrGDRq1Jc87pZY5RMqHsu5tNXSac+Q0MnWzxMkZJGnHLz5ZchikHfPm2IK5IbNVXbWWopDg8hh2YMfX3+uvPXz3oHaylrlxp7xGlKlrCRPraA3LFAXiKHSbB5HywJYxxzy6XLjEvCEmBOjE50xcRpTG/e2yMUuNy8SBQlzPyA6Y6I4LIkruV+S/wvUHx1DCukaYam7/TaxGnC4bRP3XGZZlMarcJjNJ2GzPz1KcnJskgpJbZtY9s2OTlhGKKrGr2D/SLsYktkMmx38+UU0y0/8Ol2u1uJnhDw4N3nfoc3E1/60pd49dVXefjhh8+UrPzrf/2v+Rf/4l/wf//f//c5Wfk6xTlhWcFZekomkwmPPvoojuPwjd/4jW+auf71SsB6sx4ff+zjpVOLaTQliAPqZp1xNKbrFH6PkwtNgUDXdW5p3sLB7AAt1vB9n8lkwqA/4NA4xLIK2ZhruLSM1lbScRKO5pCRLWVMk2iynEJYarGvOI3xYx9TM+n5m/KYMAo5PDzEcZzCYG+1185ZlSoNq5CgDcPh0sx7KvlZXkyJro6LwkpTNfF0jyQvggRWpWNl0c8L+ImPq7tcn15DCknTbKIIpSAEK1I9gaBtt0/lWYnSiEO/eOKszQMKhBBz+VixuKkiK3DcG7OIQQ7TkHBlkbEgMIZiMvJHa+QojouOFcMwaDYbuLqLHwelUjdVaggkQTLd8BdZuoWtWsW0B1Eqi1KkQp5TSiYN1dwapbyAH/toUuO16dX5fS+wDasw9s/TycbBlLbdqiyztDWbo2iAuHYN+cILWIGP1W6T3XsvsWkShzE3Dm8wC2fohrGcWqor+v0ixrhYsMZpzOjXPg0H+2AIEBJnMqb1mf/ITLcI7r+PsT8hyVJ6vR6KVGh326iKwnSHnEk8/zxkGbVc49CgeB9VFeIY8cXn1ghL026W+myg+D7N8oxhMGI0O0TaoMiUZizQM0gywUCXkGWQbCcsdavGcEss8yoa1mYh5RKWBVKgpFtYu3X8AEkgGMxGy+Q2oQgabg1N6ARhyNifYWh6pc+j8IKsH2+eZRweHRUTxm6XVq1R6YFRt/g21vYJjILxUqbleBa2ZhPHKcPxhJziszusmAZZisboC08iez1y0yJ/+9vBXk9pari1jXM6iZrtcDAsVyfoqlbIElfeT6duY+sWUVAc9zaSuIBAFATFMLh48SJJHOMHAdPJhEG/j6brWKaJYzsMxifeAwpJahgEdLtdPNvZatq//eIlml6t9DzO8cbx0ksv8fLLL5/5ZOXjH/84/8v/8r/wq7/6q3zgAx84k/2e462Hc8LyJqDX63HlyhVuu+027r333jfVXP96yMqL/Rf5P5/4P9eidLfhZCP9YuG4KFBMs5RhNCwSnKzj6YamamieRs2rkaRJIRubFU+R95w9DtQDTNPENm1qeq1IvwrWJx0NszCb70pz8hMfP/ELs7JqoEp1WV65WJzOZjP6gz6NeoN6rY6ruRsRzEmWLJOnhBA0zWaxqKzoJ4FNj0aQBMtrtCBCEokiFW5Ob+7azdb9ZXlGPziWXli6hau5ZHmGQNKrjHM2l4lnC8RpxOEKqbM1h4bRIExDpFB2EhaBqCyYDNMQJ3e5Pr5OnufoatHTEocRr9x8DduyqNXrmJpJlufE2e5FjRQSV9s9FfFjHz/yi9Qw/whFkXh6DU3RSdOMSTQpvE95ISksS7ITCCzVXE4DtkGRCsn1a3DzNYRukN96KzPy42AFwDVcojyg47YAQRAVxv7VtXHHLlKyxOefRF65UkiSAG7cQHn+efhTf4pLt91Db3pELa3hz8MuRsPhUr9v29ZaRK64fgMODgp51XyqKjXJVSUmu/J7pHdcJAf80YQ9r02r3WYSTmlYDQ52meTnCzgNyE98nYjpupdpsGW6soq6VVu/tnt7gCAlp28UO98LMlKZ0rRqiIuXCeOY0Wz92lVNNIQQO5PQALK778H7wtMcKuL4ui/kRvfdu9yu5TbWvCt5nq8Z+E3bpOM0mAXhzukLsOFLyrJiukWe0+12kVJWxiqrUqnsePHMdU/JNPSX+9UslbrloSsm+0clMq6ZT+M//BwHkyG5lIg8h0f+gOxbvpX8bcd9FfIUvy1hVDGlEYLBlinNNJwddxfVbVQd2qrHcDwlSTa/l2quw2gyRSDQNB1N06l5NdI0mUvHAkhSpmGAaVlYpomu6wVZCUO63S6KouLaNn646YF57z33bvy3c5wNXn75Zb70pS/x/ve/H8/zzmSfeZ7zyU9+kv/pf/qf+OVf/mU++MEPnsl+z/HWxDlhOQEhRKW/oQwvv/wyzz33HO94xzvetEbVxVTl9ZCVz137HD/zhZ8hy7PiCb5UGIbDDWLgGd6yU+Qk4jReLvwt1aJm1EiyBEUqG0lhqqLiuR41t0bDaPDa0WsEfsBwOETV1KVh3zIsmlaz+KHP4TCo9pfUjBpBEqwtHBWhFL6TwZDJcEK73abpNJFSVnasKFIhJ19OTFzdLZLC0mCtx0XKIhigbMKRZAn9oE/banNzdhNPL/oWFqljq5BC0rSapfvzY584jXE1j1E4oGk2UaW6tbTSUm2EYCkN2wVTNbkxvTEnQYWfxlB0wnmpZk6OQNC0Whz5FclMRoNBMFi+Z1EacfXoKkdHR9TrdZq1Jg2jjipVpvGUIBHbZVxz8lvpN3GPJ2BpnjEIhxDFiMMeSIl18Tba7gXCJMDTPSbRZOvrdZxy4zppQvszv8fhtReRi4mZaZL90T9KPv9cCwRSyg1vi6qphcRPapDlBHEE0wny8SeKDRapUHkOQUD7c4/Taxfmb0VRcR0X13HX9PvhQPLCwYtF4phlYR4dFhdtZUGvZYJMUWA6I55M6E0mWLYFjqAf9tGkVpCrepM8E8xCf93I3m7RfOk1DleVq4s1fqdzvJnTZL8isevkwj3vdMhvvQXx2muQ5cgchiInUQSH3/Ag+WIaaGp4pouCQpLklRONltPksKSvhk4b60/+aWa/+5likgMgBPkDD5CvSH+2FZGuIkxCDqaHhHGIUCQNZ96X5IdMguJ76OQEJssyegc9hBR0Oh2ElDRsb0PqdRJNp15Zsmnqxk6iFqcJvUmfplMnVYJiUqRoTGcBsxWjuvxP/4npeAgCxPza5FmG/OxnSb/vL4NhoArJYFoxETcsRn75d07D8SqnNJZhLCdPUhM0azUUoTCeBIRh8TtlaDqwed6KouI4Lo7j0vQ8rh3sE8y7nrIsAyGo1+tLz0sQbTfsv++e80SpNwOvvPIKL774Ig899BC12tlMsPI856d/+qf57/67/45f+qVf4o//8T9+Jvt9I/jxH/9xfuEXfoFnnnkGy7L4o3/0j/K//q//K/fdd99X7Zi+HnFOWM4IWZbx9NNPc/PmTR5++OE3zVy/mKwApyIreZ7z6ec/za+/+OvL/7Z4gi+EoGE20BSNcTheGrSrPBmO5pCTL6cHi4X3IilsYUhfxA0f+Uc4joPjOGuLsPHBGEUq9Kwet7VuK/TNK4lj21K32nabgT/YkBUlecLz155fPkW7tX4rucgr5WemZqIIZY3UrErQDNXA073iuudpaR/I4pw93VsSu3E0Xh7DYl9ZXkwDHN3hcHWBPpshrl2FNCXv7kGriSZ1LNVmMH/P1qYvmo2rOSR5SpLGxFlSGb/cttoc+QNy5gsU8rUEMVWo1I1iIjIMhqX+l7peZxJO1iRw0/4R8fMvcFFVUNOU1HaJtJiD+fVQleL6qEIhTCPG8x6YrrNXKcVr2+2NbcRzX0Q+fgXmT0s91ePqHzuOrFWVgjxoUifJYsbhhJpRKycrwN7nX+TwteeLCYZuUFTZB8jf+V3S7/qzYJp0nc7WEIIkS5b3U8tuM0nG2DdvUgtihGYQxjkjFXJREJ7kxrUi5tdY70NZ6PfbjRZhFKEE6rJw0woC2vPvAyEE7VBwqANxBqpKbzTEqdXwPG/5HdGw6xvnbZqFpI9cELzrQbLPPwtJtJzakBX7y+5/YH49tcqn/zWztjm5EoLsT/5J5JUriOe+SGccsX+hQfbgg+R33rncLM7iZblnx25h2RqO7pCnOSN/uuG3KIt2hiIl7+jeO0gv/SXEa68Wn63Lt0D9eNHkmg6DinNqOccTmHzFpwNgOUVghC51rh8ekufZ3LvVQ1UUWu328j046U/ahqDinCSi0vhvasbyfVqdhjmeja1ZROMZ6gtfYqiuf7hFnpOnCeKll8jvu4+GV6M3GpS+lm1Wl3Eqp/BWrnbJZHl+XHoqwGs4mKpJluyWjAEoisJoOi1SxUyTo6MjoijCMi2mkwnDwYCa6zGZTDAtc016d/vFi7Tr9crjPMfrw6uvvsoLL7zAQw89RP2Mrm+e5/zsz/4sf//v/31+/ud/nm/5lm85k/2+UfzWb/0WP/zDP8wHPvABkiThv//v/3u+/du/naeeeurMEtDOcZ4StoEoil73hCWKIq5cuUIcxzz00ENn1tS6ijdiro/SiJ968qe4cvNK5bZdu+hDMVSDWbT59H6BKsnWav9IlmcbUqyT5xSGIXqic2N0AyHEsqjSNMyioV0xmCZTZtGs8JfMNv0gaZZydFiY2tudNl27yyg6Jl6O7mCrNmEark05PMMjSqPKRY+lWkgpCZJga1LYAqctmNSUIr1rIRubxlOCZz+PfORRWMh+FAX9bW9H+aY/ySQpN+i6mkuapxiqiaZo8/dv84ln25onkJUYagSCltVa+l8MxcDTXUAwiY/9LzXdw48D4rn3Jydn9tJL2P/5c6hxBEIiyGm6XQ7+9B8vEqy2QJEKF5wLJGlMmMaMw+3JYHWj8FOt/pu4ehX5m78FeQaahhMXi57Y1Eg/9GGobcoOTNXGUDQ0RV+GO0xPFDg6mkXy0z9FEgXH0xAoJiJRRPZH/gjeex5mHIxLr+VqEaV47lnkf/7PoOkgQMnATQTeNMFXBIP/4vuItO2L2ZbdXC7iF4cRz6YY/+E/IMIQhIKVCQIJZCnj224j+4ZvWNOIW5pFmISlfqW23WT82pdo/M7nUK7dJJCCUadB9g3fQH7xIrA9GewkmladfonUTgI6KkEeLw3wJ2GpFkEcnPguLlrtDdUgihMUITmaDEqPpeO16VVMg06zTd0u99IIBIZqEKcJtmpxcOOAJAfHc5dkRVc14jQp/X2pWQ6jivjgjtegV1HyuFdrsV/mk5lOufWT/45UCLJcMpQKyfw4cyHIHn6Y/D3voW57DMsmQnmRdlfWz6IKSS62RwwvYOnmWiLaNtQdl+F0gqkZeKZDEuUMR9M18/yiLDJnEXKQ0Ol2lkQxSRJsXePq/j5RGKKq2jIk5i9925/mT33gj5QewzleH1577TWee+45HnroIRqNxpnt9xd+4Rf4wR/8QX72Z3+Wj3zkI2e237PCwcEBe3t7/NZv/RZ/oiQB8RyvD+cTlhN4vZKwhbnedV0eeuiht4y5fhAM+MRjn+DV0aul2wkhaFsrRu752t3RHWzNJoxDRlHxQ32qRvr5Pw3DIWESFkWMirU1LllX9SKaNhxyyb1EGIb4vk//qGhaP7KOlrKxi95F0jzF07x1f0YSc9g7XCaB7Tl79Pze2jFOo+mylX0x5VCEQj/or/W9bIOne0RZtJTOnEwKMxSDWTxbLlyryMpiorPmIxoOqf/eo9hBSuzYDPQMy08Rzz7PuFmHe3frqmtGDT8JiNNorVHeVE1c3SPPM4bhqOi8mVWTlbbVorciAztpsrc1h7pRI01T/HnPR05Ov9ej+ft/UJAV0wQBnRkcjPeRf/D7ZH/im7e+Zt2oc218ncWNI4WkYdTRFJ04ixkHI4x5+ebJxbZ47ouQpWAYaLkAKYhtCUGIePEF8hNJMVIoaIqy0UmjaUV0syJVojgijxOC1SnD8gUFIFD9kCRNSq+lrhhrcsL88uVif0kMmkYqISPnmpWSXrxIZghszcTWbEAQxD6TcLZBVhaHoTsOfMu3In7rN7lw6HPTEuQZ+K0243vvw85z4jhe9nxYmlk6fSvipEOiVoP9P/vtMJ1CDlqtTt30UFCI4pSjaXm0bd30SskKQNudF2OWfI+5hr2ldyVfpqUV+2nRqtdRkEz8YGN7gShtrIeiz6hfQXo80600/hcTmAFxkvDa1auYpkGj1aRmWJiaSRjFmIrJ/qicGOmaDhWEJSlZ+AOQ50yqfDKux0G7RjKbIgCZpzTjDC0VjIVkcuEClm6UkxWKVK+qBLG6V+OwYkrjWlYlYdHniWdBHC47hlRLoWHVELlkNJqSZ3lBVg6PSJJ1sgKgqiqGadHtdNem/b3eAX7viKeeeoput0ur1UJRqqdh59iNq1ev8txzz/G+973vTMnKf/gP/4Ef/MEf5N/9u3/3liQrAMN5pHar1foqH8nXF84Jy5eBg4MDHn/8cW6//Xbuueeet4y5/tXRq3z8sY8TJAFdu0ucbSZ8wVwus8WQDuuLfEu1aFmtwg9wmv6ScLj0tIzDMWOKHz1bs3E0hygtCvhW5UjHCTAmeWPefOwHTIYTYmIO+4fLMb+jOzi6w2Q24fr+dWzHplavFcb+CllRmIR4usf+bL/wvditjaSwBRpmg0k02S6Ry4/JSc0o5CW6oqMrOsNwuPU6ubpLkiUb0yvxystMRMSkZQE5zVBBEyp5PCN+/kv4OwhL3SimXdtKKFeDALp2lyiN6Nod/DRgHIw3ZF7byMo2CODQP5wTPYGjOwx7A5r7I4wgIDUNEIK9QGHfTiFWEdeuQeCDuT55rBv1OXE7vlZZnjEIB8v/r0sdSzeRKCRZsuyyARDj0XLR68WSI32xkMsRk8lmyZ7V3Hqvx2m0JKJdu0svHNGotbCu75OYKhMNQgmkxf7re7fRK0kXgyJSeY1ouB7Zu9+NfOIJiCJEDjISZK5B9v6i82EWz9Z8WZZhIRVB12sTxsX0afW+yi/soX/PX2X/Sy/iD/sMNQ3njjtwsxw/8BkNR6iqyl69y43oZlG6t+P7o+O0OFgt4JzLGOIsWZ5H1+kg08LzpKDgRwGTEw31u3oxFpBCVEb66qq+M6Z4Ac/yNrwrtm3j6A5JkjKcTmg59a3xzatoOjX2R+XyQEMztnbWrCLNMuI4ptfrYds2tXodAYzDCeOw+FthZXSadfIUBtMxabpOPBSpMKjyeehmpRys7tQqiUbDrXP48PtRfvu3i4kKOX1dkgsBly7h3n17kdA2nTKezHbKQrWKNDNgZ+HuKmYlExrYbdpPsmMSrZsaqRKRpQGqKmk0OxsSPMc0Gc+Ke3Y1Mvm2Cxf4pj/yRzg4OOCZZ54hiiLa7TbdbpdOp4NhGJXncI5jXLt2jWeffZb3vve9ZyqP/9Vf/VX++l//6/zET/wE3/3d331m+z1LZFnGj/zIj/BN3/RN58WVZ4xzwvIGkOc5L7/8Ml/84hd55zvfyeXLl9+U13kj5vorN6/wU0/+1HJycJDME7zmCV+LBaGpmkWUZ4UhXUqJpVtLQ7o+j8hNs3Sjy6QqwnexIGuYDaDwwhiKwSAcrC3EBAJDN6jbhVm7P+2DD+PJmH6/j2EYKIrCbDaj0+pwa/tWVEVlf7K//YVXsGfvsT/vMEny9aSwhtkozOHRFFu317pTdmFbcaQqVepWodUdBSPiLKZu1Jkls61SOhEeT3kakWSq5UQyAykgnlEza8s+mwVJaprzIsqSiGBYFEwesPqmaKpO3agBgnE4JkqjU5EVW7VJs3R5b6VJwos3X0BRFDoWIKCZKLixZKzlhR5eSkjTojBwhbC4usMsnpUevxQSW7fXfD4CQc3wMFQT3A7j/oBmoLBvzu/DvNgqP5FC03E69CqihwuPTLHN4L0PMBr3IAsABSfIsaMcvX2B3q0XId29wOo4HXpbZFP5e95D1mojXnie7jBh/1KD7N57YYcJ1TVcDibHBFxRFDyjNi9ljJiEMyzD5UazzlRX6XQ66HMJm+MWfrEwCAnjkKN+v5BczuOSDcNYfp+oUmUYlC9wbd2mNy0KTVd9XIax6OWRkAl60/J7qOW0tl6bVdTNGgcVJGLbQnkWzZjN5X2KpiA16NRb+GHANNgkmFLIrV0yq9BVnaNJ+VTJNR32Bz16vR6u6+LVahvr+5bTWCNhx7HJGlM/YBYGtNx6Zdyxa9qVkwj1FJOBJEvI77mHVErkY4/BcEiuaeT33Uf2/vczDiakecosDjAcHc/0yJKcwXiy/M6XQu7sXllAV7XKbTxrPfFsG05j2ndNm+deeoEszeh0O3iWga3bRGHCaDwjz8GxrK2dNQ/f/w5arRatVot7772X6XTKwcEBV69e5emnn6ZWq9Htdul2uziO86Y8nPx6wfXr13nmmWd48MEHz3TC8Bu/8Rv8wA/8AJ/4xCf4i3/xL57Zfs8aP/zDP8znP/95fud3fuerfShfdzj3sJxAkiSlWfBZlvHUU0+xv79/5rrMBU6a60/TXA/w61/6dT79xU9XL7LnKWF5njMIBxsJXwvoqo6p7PZkaFKjbtaLsCIhKvtBoFgU9v3+GtFZ7CfPi4lLkiXU9BpRFm10ccRJvIyoBHAMh1atRazEGKpB3Sw8JicT0BbStzJPzQJdp0uYFKWZQRwsJXHbzqWK1AghuORcIs1TJtFkqzdIvPgC8v/7/2hhMzQhFfP9zXzyO95G9k1/bLmtoRp0rA5hEtIPBqQlAQkn45e3Hh+CPXuPTOTLdLhtPgdLtcjJl+/H4mmyaZo0Gg3EaIzyK7/Mni/ZrxWLSTWD+ihEcWpM/ur3MJ5L1kzNLDzsSfnCq2N3St8vcf0GF37ls4R5hqnopORM8ojQNkg//GGYezi2+V9OwtEcwiRaI57ipZeKich4DFJi3nYn0QceJjZUDMXA0R2kkIRxtJR/WZpFnCSlwRWO7hDEwc7PHYBn1opJWInsrGW3uLF/kzRM6Hb38NNwY5/dufxq4RcL5pHJeZ5jGAaWZXFr+xaO/PJFeeHHKScaNbNIDbRVu/gsz9ank1IIdNXYKOhchSY18iwvvX6u4cwnO7uvTdNp0F8hCJZelLOmaTF9SbP0VN6VPa9dmYjmqDZffPkFPK+G523vlmg69dKwAsdwqBkuszBktGU6CMWQQ1d1wi1hJAuoikqeZaWpZ7ZhMTspGUuSImBi/juzy7uiCEndriFzBQWFm4NygtWpN+kNy++tTq1Jb1Rx/3l1Dse7r1+e5UQzn+FsQqfT2fB46qpGzfRQhUavP1iLTBYC/tHf/K929q+EYUiv1+Pg4IDDw0MMw1iSl0ajcSo/6R8W3Lhxgy984Qs8+OCDdFaSBb9c/PZv/zZ/6S/9Jf71v/7X/MAP/MBbljB+7GMf41Of+hS//du/zZ0rYSLnOBucE5YTKCMsURTx2GOPkSTJV8xcfxqykmQJP/PUz/C5q5+r3P9JH8qiGFBKuXzaDseN9FWLykXq0ygYHZOFYEi8Raa0Ot3YBUUoXHAvEKcxg3CwRjpycvr9PmEY0ul0cHWX2WzG0eSIKIxQNRXbsjEtE13Tqc/jdIM4QFXUymmSQNCxOxuL/EUxZJzFS7nXaQohYfN6L2RxazK9JObCpz/L0eSATJsvGuIEdJ30W78F2sdf/B2rw6FfPOkWQlI3ih4SP173CO05e+xPy6+1QNCy2xyukAJlnuymCrUw7ydTLLW4zxcemTAIOTw6LJ4me7WlFeHC716h96UvFCsrqRSTFSnIPvAN5Pfcja7oNI0GkuK9WPXcnESRGlZ+/HWjweSpK/DYo+D7xXVzPaw/+s1Yb7ubLM+I4pgoD0uDFRShYKn2hscKKBzuvo/QdGpue8P/soAq1WXYxCSaztPTtjVpC2q6txGFfHIbR3eYhLtlSALJeDBiGk7pdDooioIQAk8vTOlJkhIkEUmabEz18rm/xfd98ihjFvnohl5MX0wLRV1/Ql8zPUZ++VPyttNaBgwcH6PAMz0MxSCOE3RFZ78ina3rdHb3xCxey22VRxlTJKKt9qisQpEKNaOGqRkMp+OdciQpJKqibk0rXCCJUw72D6jVazvTgGzdYrajrHOBmu0xmhMETdGoWx55KtakYy23zlFFzHO31uSgYvHfqbXoVUxyTkMimk6dLMvQpY4fREz8zXP0LJuxXyKfzIuI5oUnZRtUIUEIkh0EP89yRsMhURzT7rR3EgjXtJkEM6QQ1O0aCiqTScCldpe/95f/aum5LpCmKUdHRxwcHHBwcECWZXQ6HbrdLu12e+kZ+8OImzdv8vnPf573vOc9dLvdM9vv7/7u7/IX/sJf4J/9s3/G3/7bf/stSVbyPOe//q//a37xF3+R3/zN3+See+6p/qNzvG6cE5YT2EVYJpMJjzzyCLVajXe/+91vqrk+TdNTS8AWf/fy8GUe33+cx/cf3+njqGpxF0JQM2o4msMoHG1fwK3AUi0UqWxsJ0Shc9ekxigaEacxLbO1tZF+4xjt7tI0v7qfYTDk6s2ryySwlt1iFh9LrNIsJQgCAj8gCAuCYlomTbeJbdoIIbBUCz/x18zQCyhCKYzpJWWDUDwB7jpdoiRiEA02fC9r51JxvTVFo6YXxv2D3sukVx5BvPoq5Dl5u0X+7neT711YuzaFZGn7R3YRc6wrOjcmN0rlVkVZZnXPSt1sYEqTJE8YhiNGkyH9fp9Go7G2QGtbbQ4nB4inn0I+90WIQvA8sne8k/yOO0AUkcm25iyN05Zm4WgO5Dmj6Jgsd+xuZUGmrdrEaVIQ4yRBHPXJpYBWu5DSARIF13BIsgRHK576j8MJYbq+OOpYncr+l9NIyvac7nJBrkiJq3sYik6UJoz8YnLVdbscjMvPbc/tsj/ZvU2WZaSTlH44oNPevUArJoXRksCM/NHGk/eW3WR/dIDv+wR+QBRFaHpRVmlaJqpaFKEOS4z0AoFt2ExLvClSKJiagakWoROzlaLDBU4zXbH0belh6/Asj3EFwWo5zaX3wdEdLM0iSVNGs+OY7qoJjO/7pNMEaanYO1Lwiv206FX0qnS8Jr3xJkEQQlC3CukYmayWjBn2hq9obX8Uxv7VEtKTUKUEdhMEKPpQTu7D1i0c3SaOi9Z6t4qsAA23VunbadcaO037i2LOhu2hWHrptKNbb3Ew3Lx+3/PHv4M//u73lx7DNuR5zmg0WpKX6XRKs9lc+l7K7omvN+zv7/Pkk0+eOVn53Oc+x3d913fxT/7JP+GHf/iH35JkBeCHfuiH+L/+r/+LT33qU2vdK/V6/U15sP2HFeeE5QTSNCVJ1n8wF+b6t73tbdx9991vGXP9LlwbX+PKzSs8vv8418bXTr0Yh/WJgGd4mIq5taSwZtQI0qD06SMURvSG0SAXOdN4utSY73rtraboJC5+lMwGt168FUUqHMwOdkp8srzQ7otYMJ6OSURSpI2ZFrqhY2s2ru4Sp8WUQ1O0U8URSyFpWI0138tiijONpmsTg9PIseB4ErIkZ5lgFk6YivWn4nt29cRk9XUVoVAz6ihSbpi5pZA0zGYlWTEWi8u40H9PJxOSacKtF29BGsqyQ6XodllJIMvzYrqiqEuzrhSSul6n7w92vp6ru9TNOmES0A+GO+VuqtQwpLEzenuBjt3eSkQczcGay9IUqXJzXH5dm1Zzftwli2SjxiTYXlIJxfl3nS55nhElCWN/vJVQuobLLJrtvLfTNGM2mBIR0Wq1dn5P1Mw6oxOSMoEsYoFlIStShMLRbHBi/+vEv2k1iGWCaVnour7Ve91x25W+lCIOef2zbWlW0bGS5QxmY5pW40wiiFfJyC7UrdpW/4qqqNTMWlFcmaY7iyunsxnDwZCL3YtIdfciWZXF5CsuebChazpJkpRLFg2baTjDNQpyFUYJo8l4LWmtbnkMq4ia26iMgm57DQ4rYpO7tVYpedIUjQteGz+MGIynO+WPnVqjsuel6da2+leyLOOwdwgC7rztbcsCz12wjM34ZSkE/78f+DvU7O1SvtcD3/eX5KXf72Pb9lI6VpRWvjUX218uDg4OeOKJJ3j3u9/N3t7eme330Ucf5aMf/Sj/w//wP/Df/Df/zVv6+u06tk9+8pP8tb/2176yB/N1jHPCcgKrhOWtbK4/Lfan+zzVe4o/uPEHvDJ8ZeeTyV1yqAUWMcdBHKArOoNgs7xx42/mBZOri+VFJ8pqi/xqweRJhFHI4eEhju0cJ4HNDrDVQlp1sltlgabZZByNibOYMAjxAx9/LllYkBfDNGgYDQzFIM3TpX9mGxaJamWyMld3l/0qN6Y3Sq8NlJMaWysSj+I0RpNaZfoZlE8mbK14/9IsQQj5usnKcDjAn/m0O+2lsVuTGl27W6R3RaPd8sEcWla7snSzZtaYRhPSLJtP+zx0xVjz1kghqek1BkGFNMbuLMsqd6Fu1BmFo2LhrDpkecY4nKxFXZuqSZqnu3uHKCRGujRKY4PlXOa1TIxaPb8kYRSMybMMz/TWontXkSQJBwc92l4LzdF3pgILBJ7hMdoySVzfxkUR6lw2GTL2J5tpUDEcjfoEQYAQYJompmVhzk37UijoqlbqS1EUFYkkLokQN1UTSzPRhEYQxVslaJZmESQhecnC/jT+lppVY1Rhti88MENqplt42aKI0ax47yaTCcPRiHtvezvTCsls12tzcAY+mW370VWd2twMP5pOaDj1rVOa9fOq0a9IGatZbmVzvWOUl0UKQFM1oiQuJFhWDUWoTKY+QTQvFj5FP4uuasTJZoR4lmX0ej2kkNx2y62VQQQ1212+f6u479Y7+dif/Sulf/tGEMfFQ7aDg4PiOKVck459vUQm93o9nnjiCd75zndy4cKF6j84JZ544gk+/OEP86M/+qP8g3/wD97SZOUcXzmcE5YTWBCWhbn+4ODgzHPEF3ij5vo3in7Q54n9J7hy8wov9l9cPtFb+FD6FcZbKJ70j+MxruYSpdFOTX9lwSTFAqRuFGlaNyabC/zZbEZ/0KdRb+A6Lm17u2neUA1qemH4HYbDZfHhyVs7p4hL9v2CvFjCQjEUVEPFMI2l+V8KySgcLReui+6URczzLihSwdM9BsFg6XsppFTDtWhPKSRNs7ksZ9wFgaBttxkEg/l1EozC0cbCb7FdVaCAIoqUqXE0pqbXUKXKJJrgJ+tPJtfISpZz1D8ijmM6nc6aFLJpNBlGx0lxzpwUJVnKKBiSkkI+n5xVGLZd3SFMo533iyIlNb1exCj7w2Lhv+Oj0rKalSZyQzGBfEMeBkURp6VZBXHK4bBiMnma86uSB0ohueheIk4iojRmHKyHBCxCDi63LpMZ+a5TX3mtU3hFTmyjyWIBLHLJNJrhas5yKlJ0Zob4ftFbkWUZpmFya+sy03xWLsXxqn0pJycwuloUlopcMJxNiJP4dCWQbusUUcbrhvxt2FYUaagmWZBwdDTArrk03cYpFvbFZGQXhBAYql7q4VCkRAql9LvUVHUcw0GgMJ7Otkq+TK3cKwLVkjI4HaEpm+QUUyITFY3rRxX3Rb3JwQnTfpZl9A4KEtBut9lrtrdKvdb2s8Pb81e+5SN88IH3lv7tl4ssyxgMBsvpSxiGtFqt5fTlazUy+fDwkMcff5x3vOMdXJwXy54FnnrqKT70oQ/xsY99jB/7sR87JyvnWOKcsJxAlmVMp1Mee+wx0jTloYcewjTNM3+d1TJIePPJyklMoglP7j/JkwdP8srolfUiwy2QQtKyWhuL4kURY5qnDIIinvhUBZMc95IESXAclzzfz3A4ZDKZ0Gq3cCzsL36LAADNkUlEQVSHml6jH1QTqgvOBdIsJac8Aa1ltjiYHDCZTQj8gCRNih6YeeuxVIowAlux8RN/rRtkGwzFQFf1rf6YxQRJCsk0nhZRzqeIk24Yjc2pk2Dpe/Fjn1niz7crX8gpUsXTt0+IHN3FUi2SLCFMAwSFjCxNM44ODwvZV7uDohwvShtGg3G0XdYExf1S+KFcRsFwOVnYhtOmhq0u+jVFw9M9pFCYRVNm8+mGp7v4sU9SEZfs6m6lBLBjd+lNe3iGi6mYBRFb6YGB9Tb7XWhYdQYVZYquvi4FK8ilV/i3JkO+dPVl9lpdTNssnWwamlk8dCnxgeiKQZ6nxKXb6BiqgaEY5FnO0B8v/Vo5kMQxSZQym00JogDdMLBME9O0UFdM+7pqkGZJaSKaoZokWVyyjaDjtJG5xI/mk6AtsHUbP/ZLv3dc052XSb4+D0wOjIYjprMp3U6Hbq2DEBIVlUkwww83iUBVMhjs9q6sb3MaD8z6NrV52EEQRksfyV6txX6FB6ZK6nXaYz7NuTccjyCK8AyXJM4YTiZrrfVwbJRfIE1Ter0eiqLQbrcLb+IWqdcqVqc9q1Clwj/5L/8utvGV8xjkeb6MTD44OGA0GuF53pK8uK77NbFAPzo64sqVKzzwwANcunTpzPb77LPP8qEPfYi/8Tf+Bv/4H//jr4lrcY6vHM4JywkMh0P+83/+z2+6uX7hVxFCfNVjEYMk4AsHX+DKzSs8ffj0RqKSJjUc3alcZKtS5YJzgSAJKiVj2/pLoJiCjAYjtERj7+IeucyLxuqKAIBthEoKSd2sowhlbWKyLeErTmICP2Dmz0jiBN3QuVi/SKZm5CLfKmVbwNEcMrJSSRAUi8BFPLChGFu9QbA+qSmDKtVlp02apQyD4VYdvCo1HN2uJKWmaqFJDU3RSJOUl66+RKZktJothFzRyht1ptGUJN+94AXYs7vszyVqhlL0dZALxtF46X3SFA1d0SunV1Wmd0uzqOm1Qu42O1qTdW3sqyIuGeYhAlv8L0UPTA1d1RE59GfD0oW/KlVURS2VTAkBruZtJbu+73PU79NutLhj7w7SLC3umx1PwVt2tfSubbc4rNjm5PVeyMxMxSCIY8b+mLbbpjfpFYlkgY8fBERhiKppWPO+l0uNi5XTp47boVeRHrbabaOrOjXDI88oopPnk4fTTFdOs03LbXG0sk0ODAcDfD+g0+2gqeqGT8Y1CtIfxjGjecFhw6kzqFi0n8Z34pluZXHl1qjiOSzNxDXcoidn2N9J1aSQKFKW+m2KIsa8WsaVJqXE0dLNDRmXKhVqi9b6yRRT09dM+wuyoqrq0r+1S+q1il0emAfvvI+/+aGvbp9HFEVL8nJ4eIiu60vy0mw2v+prg23o9/s89thj3H///Wcqk3/++ef50Ic+xPd93/fxT//pP31Lnvs5vro4JywnMBwOuXr1Knfddddb3lz/ZiBOY57qPcXj+4/z+YPPI5EbPpRtkFLSMo6TwBSpUDcKo+HJFvldE5g0Szk6PFomgTXNJnEeY6kWQizkUJuyiNP4SxBQ1+t4hsehf1hKLpI0wcosrg+vE4ZhkZo0972oqnos98oKo+yuQshVWJqFQGxcxwURitKIUThCUzQM1di6eF2FJjUszVqbEhxPcgpDfJgEaIqOqZqMK6YJlmqDAD+eEcUxh71e0dHRvRVLt5cBBTWjdiqyUh46IPB0F0uzUZDcnNzceLK6ipbVpB8MShdA61OTYv+mapFkMaPgOB3rNGEIruYQJGHplEKVKoZqEsQ+nlFDk4WPYxKud2i07FYlgeg63bWCyAWm0ymD4ZBWs8ltndvWCISpmji6A7lgEk4Ik3D+WuVPvhtmvdL/UzM8RuGEsilEw2wgkQghmfqz5XQsy7J510sASU6cx5imhWWZ6Lqx4btxdJtZ5O8MK4DCz+VHwdZtBIKa6WGrFpPAL13Yn2YC4xjOnAwW2+QUC7QoDOl0u6iKUumT0VWdrtMmCGOG0/HOtC3PcndOixbYJk07idNMM9puk8NJf15qW4MMhtPZ2vdy22tyWDXtOUXc8WmmNFXTHgFcblwgilOmvs94OtsgK6c9nl3G/r/xHX+B9951f+nffiWxGpnc6/VI05R2u71MHXsrRCYPBgMeffRR7r33Xm699dYz2+9LL73Ed3zHd/Dd3/3d/Mt/+S/Pyco5tuKcsJxAlmXEcfni843irU5WTiLNUp4/ep7H9h/jif0ndi6iF5ODXX4WIQQNo4Ei52Vjs5sb2yySwDRNo9Vs0bbbjMLRepHfSszxOB4TxAGWZiGRlYlRUkoa5nHCl6u72Goh9xpH6+e1OoFJs5TAL8r2wjBE1VQs08KyLPa8PWbJrGj6zsXOmGPP8IjSqLQLBAqpl6mZSy/OLomMoRhoilY+dRKF7E2fp2mVERZLsyAvelaCIODw6IiaV8P13DWvRMtqIyiki5NoslPCdRpSsJCMDYIBqjiWzPmRz3SF1BVG/N0pQ6vHtksWt3gtW7WZRjNG4WjnAlmVKrpiMKua+OyY0mhSwzU8VKGiCoXr4817fRV1s8bIH68dTw5MxmPG4zHtdpuG2yBO41ICVTfqmKpJlMZb44uhuA6WZpVPs3KoWd48YWw3GmZjrefE0W1s3S4CBPzCf9Ow6lzv3ywSxwKfPC9M+5ZlYZqFaX9bf8tJdJz2KSYnRVKZpZnzgsiMwXRMtjLlPZUHZmWbHDg6PCJJYjqd7lISeZr9LLpipJDUrTqqUBlPpwQr3pLTSKtabpOjScU2ToOjCk9Ow64xOEF8BEUfiSo0pr6PrmgMK6YVnukwDso/G1W+HfIcy7BKjfKrJZlpmjIZjKlZHrVak/F0BuJ0E6Fdxn5LN/mf/8u/i6qcvYLiLLCITF4UVk4mExqNxnL68tWITB4MBjz22GPcc889Z0pWXnvtNb7927+d7/iO7+Df/tt/e05WzrET54TlBPK8MGaf9T6/kub6NwN5nvPi4MWi6+Xm40tvxWnlUEvC4B8VHgzVKAzfsb+ZBGbvLbtYynDBuVDIxeJJ6eJdkxq2Zu8kVIs+kCRNUBV1p1xo+fQ48DESg0k2KRZflomu68sSzlVC1TAbTKJJ6WIT1v08cFzoqUiFSTxZSop2TWpOwlRNJAqzOZErvEY1sjxlGI6WkcG2ZpPlOUHiM53NGPQHNJuNjR/EmlFnFs9IVgpBXd3DUq1i+hIWJZgdq0PPP6Ts6bxg3gETbF/0WaqFo7nIuRRwVnFvVRnai2N1CZOQOCtS17w5QZpFK5HP+SLCuOKJ7SkkZa7u4cczNEXH1V3yHMbBeE2qdpwudvxeFl6JIbPZjHa7g65rBTmokAeuRjhLIfEMD13qhHHIKCgCCvacDvsVZvzT9M20rFZpbLAiFfacPZIsYRpO5xOUQv4S+D6+HxRPj90mqZpjWibKrrI/3a1M/XJ0i9mWCYwiJDWrjioUorggUmXfKaZuEsYReZ6R5zmHh4ek82LAxfGZmkmYRKVJZWXbeKaHpVjEUcrQH5dGGVu6SRCFpdOnbdKqk6gkEBRmexBFElsYM55OODkOq1kOI7+crJzGkN9wagwqksqabp3+ZEiaJBz0eui6TrPZRAiBrmjULA9N6Oz3j0rlabs6XD74wHv5K9/ykdJjeCvB9/0leTk6OvqKRyYPh0MeffRR7r77bm677bYz2+/169f5M3/mz/DN3/zNfOITn/i6SU87x5uDc8JyAmdNWL7a5vo3C68MX+HJgyd5cv9Jro6vlm6rqzqmsr3nRMSCcX+MU3cQhjh1f0nLaq1NIRaxy2GyHnNsa0VpZGXC17yrZpGglZMzDIZbfTh7zh43JzcJwmBZuCeEKAz7loVhGAgEl9xLpHm6s6xygbpRr5SVeYaHrRXSrKo+HVuzybKChGyDFAp1ozDuB2lIP+gzHo+ZzJ/on0ytqZuNQgaW7T4+VWpccC4QpSGjcLw1fQsoUsOc6gW/qZqIXBAkITWjMBD7SbgxKTrN/aIpOqpU14jBKpaFm1Ln5uSg9DxrhsckmpYuNBWhYGoW0y0k2l0GHKSoqGtJXXme0+8PiKJwmci2Lc3rJBpWg0FJv42u6LTMJmmWMZrLx7ZBkxoISu9DiYKhGvgVze2e4S6DFmzdxpmnxw1nRVBDEidoucr+YJ84jtF1fSkdW0uis5r0T3TFnETHadE7xZQmiANMzSKOY4azzc/jYkqT5TmHveKatzsd5Mr39akSz065zTiYFNLSNGU4GW/IIru1NgejivS502xzimjlk9sYqo5nemRpzmA8IcuzU8qvTrGN16BX0fPSchscDHocHPQwDJ3GnKysounWGU3H1O0aEoXRpJCzrqLhegwmm+/13/3u/4K7L99eegxvVSRJshaZDCzJS6vVOnPf7Wg04pFHHuGuu+7ibW9725nt9+bNm3zoQx/iAx/4AD/xEz9xTlbOUYlzwnICZ0lYFlOVxSX+eh113pjc4PH9x3li/wleGb6y9m+u7haL9hNPyXNyxqNxkQTWKpLA2labXOQEyaaxfRVdZ75I3XHnLjwmCBiH48r0KX3u8zhJqBZTDiklo6CQp22LD87JCcNwSV7yPOdS/RKBEmAaZpFko1lrZZWLp6Ytq7WTGK2iZtTwE584jZfJbFmWMYgGa5HJi9eokp95ukc4l6mFk4A8zGnvtfHzdY3/acgKsDFZ8XQPU7OIkmhNgtW15nK7EmhSw5Dm1qmZpmjUjRpQTGoOZuXTHCkknu7tnK4dH3+bnn84N5fX5ubycFmOWby2jiqVymni6Uz9Hfp+n5pRR5Mqs9Dn5esvk6Zp8URfUXB1Bz8OSu8NVapoilZ5TKtJZQVpsonTiFEwWZKvXUWbq9hzuuxXLMYXcqhtUKSy9JwczQb4UTFt8eeysTAMUVUN0zK5UN/DT8OdfTNwut4VS7MI4vUJjK4UEc55BoPZCFWqxElMnCYc9o4jc1cXyZqik+VpqTxRVTQg3yoNXb0GQoi1bVRZFFZKJKPpdBnIUip3kgpCyFKCeZriSlUqcOJ4Th5v024gcslwMiZKtm+nKip5lm2VIy6gKSpplpZ61nRVIwgD9vcPiq6sRmODrBiaThRHG+963Somi7MgJE2yNQneAm2vwf/4/T/0dfHgMMsyhsPh0rgfBMEyMrnT6XzZCafj8ZhHHnmEO+64gzvuuONsDpqibPIjH/kI73rXu/jpn/7pNyXc6BxffzgnLFsQbomofL34WvOrnBUO/UMev1mQl37QZxwW5Y2ryMnp9/uEYfEk2TGdjQmMqZpLmdTqAv808h84JgJSFqQjz/OtyWW2bkNOpcRKlSptq02apxut9ifPrS7rvNp/Fd/3SbO00O2bFqZpIqWcL7rr6FLnwD+oNOyXycoUqRT+DyR5njOOJqUFfbAgPwFREnJ4dESapHQ6RZmZJjVqZh1yyMk2fETb0LY6HAVHO2Uyi33aisXN2X5pgpcqVGzN2VmeuEDdrDOJxtiajalaRGnEONyU2JyGPNQMj2k020oMiiCDOhKBRGF/ul+6r7LyzgUszSZOjj0pixI8XdG58/KdSKkwCScYqlF5HU4zgSmTealSxTM8LMVk4I9LPweWZhLFcakER5UqUsplCtw2CFFMAafRDMcoJqNxEhXTlywlmBe9qonCLPGXkxdjXla5ipbdrAwaWExOdh+P4LJ3iVno86VXXiIlp9VubXTddLwOvQqytud1Kgld9QRGcLl+gThJmfrBzvSvNzI52YbTxCav7qdu1dClwSwImAbHx7ar62RtP6fYpm66PPOlL2Ka5layUuyn2th/qd4lSTPiOGU4Pg7D+I73/zE+8ke+ufRvv1axGpk8HA5xXZdut8ve3t7rjkxekJW3ve1t3HnnnWd2jEdHR3z4wx/m7rvv5t//+3//lggTOMfXBs4JyxZEUVTpnyjDH1aychLjaLwsqvzi0RdJs3QjCaxu1rdOYFahKRpNo4kqVW7MbqxNFLZh1wTmZHLZIqa4bHEF2ycwxSLPWjPtnyxwzMlJ4qQoqgx8kjjBMAwsy+K21m0cRUdIiuhlVaiMotHGZKRtt+n7/VIJEhyTGluzMRUTP94ME4DjiUmYhBz2egghabdbG9O/htmc78/CVM2dsra23ebI75dq+qEoHC0ijosEL0M1iyf8K9MXKSR1vU6/RN4Eu0smVakU5EJIptEUT/fYn5UTDEM1EVR3wCw6WSzNwtVc0nknyyqZ8/Qas3haOhGRQuJq7rKFfltUKxT3cCFhMonThJE/2rgHTuO3MdUixKGMdBZmfJtpON2Qb2Ucn0vLalaau08WQL6ebTSlCF8QCASS/VFvPrlcmPZzTNNc/q9h1yvDAXb5W1ZhqAZBFHBz/ya6rnPbhVuxdYcojpbSsdNMTqRQUBWlgqwJDK14vZ3bIDB1cym7c3SnILlxwmg6WZ7Labwpp/OvOEzCcsmsazrz/pqT+3ewNYsoSkjTbK0zZftrlRdTJknCpD8CTZZ6M05zXqtRz5qiUTOLaOcf+shfZa/RKv3brwdEUbT0vSwCbTqdzlI6Vqb4mEwm/MEf/AG33347d91115kd02Aw4KMf/SiXL1/m53/+59F1/cz2fY6vf5wTli14o4RlYa5feFb+MJOVk5jFM37/ld/nV6/8Ktfia9QaNZpWk2k8rZwwrBIGVapL0tEP+hvyjNNOYNp2myzLClN7SeLVaSYwi0WsIhVuTm7uXBwlSUFezNRkf7pf6PbnvpdFWk3NqBUEIfYxVKOIia64FVtWi0Ew2FjQLo4rnkf71oxiKuFHAYe9HpquFx0rJ27RhtlkHI42Ft6mauHNJX7DYEjDapyKrHTtvZ0+E03q1A2PPBcoUmF/Uk4wTlsy2bHb+EmApVqkeTbvqFk/HykK2VVlgaTV2SqVEgjqZhGysCBQu3wyx8fVXU474jih1+thnpC9FNHDI1bf+MUkRBEK07DwO6lSrbwOpyE1e06X/S0EQpGSmlmY1kUu2K94Uu8aNtOoPDZYVTSEKFIBd2ExgVGkgqEYhHFUtN3H0ZK8JElC22uRKhmmae7Uv58mhayuezzz8uoT/eN/0xUdz3CxFIsbw4NS4neqaUbFtKc45iaHO0INdFWf9+GY3Oz3dkYmw/ZksDeyzWmileu2hx+F1AyXLBX/f/b+O1ySu77zxV+VqzqncyYoJ5SlmZFARIuM8jkCY4xhwWuM+a0DYF8bWHuD19jstcF7vWCeNfi5Do/3eo2ZGY0ABcuABDY2tqXRnNEoRyRNOKHP6Vy56vdHdfd0nw7VEkeaoH7/w8Oourqqu0/39/39vAPVRn1AGhZnyHddF7PWJJQgM4asTNK9Mqrf5qzZ0/i1m35u7GNPRvi+z9raWnf64nleX2RyL3FoNpvce++9nHrqqZxzzjkbdg21Wo25uTny+Tx79ux5SQq5pzi5MSUsQ/BiCMvJaq7fKKytrbGwsMDWrVs54+wzeKT8CAtLCzyw/MDYUr1RHhg4WgzZSXsyFCPWkA5DiiM77fFy1B7f8U6ktTS2b7+gCYwqqWS0DEEYULH7/SWCIFA0ogmM7/uYlolpmji2E8UlG1FcsizLbEpsou7Wh/peehFNOFZjP6+lRIkwDLFth6effwo1oUaLgnXH5Y0CtQk8NaXEDEEYIAkiDaeJ6Q1fqI8jK110jfhlMmq6PdGxqK/bPZ+0ZDKv56jY1b7XRBJF0moGRVJoOS2aTjMqWRwRhdxBRu3IxcaQsjCaPjTdFmktBSFU7fqANK9gHO1J6ex+JpNJMplsd5GsiAqSKMUSkU3JTfhhNMWtmoPkEiZL/EqpSVqONXaCJ4sSiqQgCCIJJYHv+1TNGkHQ/5nLJbJ9UcfDMJMqshyzYB82gdEVjZSaJvADqq0ahmxwePUIlmXhOA6KorTjkg0UJSL/kfF/fKu9GAocOnIYI2H0vQ+9kEQJURDxAz+ahooS9VYTyz06DRVFEVVWx05OoNPzEpe0laYWUyaZS2SpWw0yegapHZlsr/Nr5JM51mImYpPEJk8Sv7y+kFNqxzl3PDmO51FM5yiPMNu7rsvK8jKnzGzBlxn72znR9Yw45qffeANvuOCKsY892RGGIfV6vUteGo0G2WyWmZkZUqkUDz74IKeccgrnnHPOhq1hGo0G7373u1FVldtuuw3DMDbkvFO8sjAlLEPwQgnLK8Vc/2Jx+PBhHnroIc4///yB/HY/8Hl09dGu76XXaJ3TcxNPYDrlkrIoj/WYTDKBSapJcmqOpteMjZNNKFH877AJTK8EreW00BV96G53EASYltnuq7Ao6kVsxcbQDRRVQUDo+l5C2l6cwI8NH+igaBRZtVZpmS1WV1fJZrKcUjwFVVL7CFrBKLYnNePJSnS+/slKqk00omlORK6iBK/xC2YYbcRXJTVKbAtDGk5zIk9HRku345fH38Pm9Gb8wIuSs6za0CJMVdIQEWPJw2xyhqUhn6mMlkGToi4JL/AiU3fgYds2KytlMpk06XS67zEFoxBLutc31UuCRFpLo4gdMtaaSAoWXWM23iczhEDIokRGzyIS+W1SSjI2qSulJWk6rR97AiOJEsVEgTAIqVtNmlarXVYZmfYlScIwDLYUNtP0zJGmfcdxcGsOgRYOvA/99z+cZKXb7famY0fT0JjpSiGZHxsHDZA1slTNmGJPfVhPTlSgqcsaLdMmDImVTOlKNL2Kk8s5/vjfQ0VS2kb60aS3kMihiCpN06Rh9X83u67L8vIy2UyGTCYT45ESAWHs37ckRMqG9ccoksznPvDr6Ko24pGvTFiWxfLyMouLi6ytrSHLMqeccko3MvnHXc+0Wi3e8573AHDbbbeRSqU24rKneAViSliGwHXdWJ9EB1O/ymiEYchTTz3Fs88+y6WXXkqpVIo9/snKkywsLvBM9RmerT4b690YJdnqeExaXouG00AURPJGnnJMChJE04iyWY408+3EMTcYnHJktMzEHpgOoVLEqPBxGKESBIG8lufg2sEoccyyEEShW1Spamqk7hdENqc24/ruUN/L+ntZMVdoNBpUq1UK+cLA7lZCSZDX8rS8FhWzMnYBE2ewhyhNaTYxg+05VOzq2ISxSUsmc1oOL/DQJB3LM7uRub0wFIMg9LFj3o/1kwdRFMm0py8dAicikVJTsXKxgpFnNUZyJSKR1dOIgkSr0eJHh39EMpsmmezvuplJlGIJXhSJHBGfUdBlg4Kew/Tsdonk8MXdTHIm1m+S0dLUncbYBaskSaSVFLKk4Hpuu+9k8LjepLJRmMQDs15WldZS6HLUoVJp1qKkMV9iubYSxY3rOrp+tKwSomCV+loNI5UgmUqOvrf2dGXcpomAQFrPoEkKntfuVxny+zGcaPRjkqnIuBS2DjZnNuP7Pq7rUe3xvfRio0z7L/SYhGqQVJM4rsdKW6aUSqU4+5QzXvTkZJJjrjznEj78lveMfewrFaZpcu+991IqlSgUCn2RyR3fS7FYfMFpXqZp8r73vY9Wq8Wdd95JJpN5KS5/ilcIpoRlCCYlLL2TlakErB9BEPDQQw+xtrbGtm3bxu5gjsKz1WdZWFpg3+K+oelMk/SXdI5LKknqbn1sXDKMX0B3pxxhiIBAxa7E7mAbitE1gfcirUWlix0ze8ej0DuBCQmx24lJlhkZh3VN59TCqTRpIrQFXb2+l16j/UxyhqXmErVajWazGXWsDNld7JAawvY9qlmAiGz0vLYlo0Q5hqxE55tpBw+ECIJIVsugiCott0XTPfo6zCZm2kb80RAQyBuFAemWLumRRCj0qVk1RFFCFmVazvhd5byRo2JVxy7ADcUgr+exXKs9fRm+4E8qCWzfif0MdJLKmo0mlWqFYqHIbHYGTW7HPls10mqKhju+30VAIKNnqFoxi/4e4iMJUYqcJEi0XLP7+iTVBJZrj93NFgSBlJocSg77nm8dyVAkhayegUCgYtbwfG+irpSJPDCihCRKI0mpJquktQyKoLBYXca0I9mlaVoEQcfvItJsNjl7y5nY4vjvjtlUaai/pxfrCVQn/EEQBGqtBq7nkk/kYvtk0nqKujX+tTYUA8uzxk88ZIUgCLr+PkVWyWhpCCJviRf4E0UiC4IQtc2741MzX2x5peM4VFcrbCltIZPO4nsB1RhvykTFlIk0lSE9O7987b/j/FM2zkB+sqBDVmZmZjj//PO765gwDPsik1utVjcyeWZmJtaDYts2P/MzP0O5XOauu+4il8u9DHczxcmMKWEZgkkIS8evMp2sDMJ1Xfbt20cQBGzbtm2giPDF4HDjcNT1srif52rPUTSKrFnx6VmGYiAidhfKoyYmvf6SOJQSJSpWJYoTFkSqVnUguhkiUuK0u07GIaNlSCgJTM+kZtWG7oaGhLi2ixZoHKoe6i6+It2+jiiI3ftNKSlkUeZw4zCra6vd+GhFHoyPHPDz9EAQBLJaZCoXEVlsLhGnP+slK8OQUBIk2iWNR5pHxr9/YQ+ZGgNVVMnrOYIwpOlGzerDkFZTmL41NukJ+iVeoiiSVTNIgoLptmi2J3myKKNKamwcdilRYrm5HBVzNhpDizkTcoKUlsQPQupWfWTs8yjpWS+6RGQEyUooCZJKElmQWWwsDfhQejHJtCOjpak59ZEfC0EQyOk5NEmjbtVpjojoBSZa1E9yTZ2oY0nseNwiz0m9Vader2OaJoasE0p0Qy+GmfYVSSEMw7GEVEBAV/SRKYcCAlkjQ0JJUmnWaI2RaY0z23fw4048It9fhpSSYqm2NpaMFNMFyjFxx/lklrXmeAI9zNjf8XCl05EsMm2kaFktMkYGCZlaqzlQApnWk9SHJJX1IqkZQz9jxXSO//pTH5/+Tq+DZVnce++9FItFLrjggrGvTycyeWVlhUql0o1MLhaLZDKZPumY4zh86EMf4rnnnuM73/kOhcLJn8o2xUuPKWEZAs/z8P3hP/hTc/14tFot7r//flKpFJdccslL0l5bNsvsX9rPwuICT1WeGrnbmNEy2L49utm7Z2IShiGrVrxhP4rn7Z/29C7s624dy7XGdqf0Qld0JKQuoeq9pqpd7T5eFCNZ1Kq5GpEX1+0WVXr+0bhkXdPZnNnMYmOR6mqVhJBgdvMsDa8xmKg2gRwLjqZkJdUkCTmBEzhUh3h74sjK+ueVRaVL+mp2bWChPqlcLKNl+rxGSSWJISfwAo+aVSUIw7ZcLIglj3HliUcX/AqLzcWxhCutZmg6dVYra5gtMyKN6iBpXO9b6QRAWK5D3aqBMDw5bNhrkVST8VPEto8r6pjJICDSsJp9r01KTdJyzfETnxcxgTFUg5SSxPWiyViHME3Sp2KoOo7njJ0KiaKALutDSavgCjQqDTK5LEk9yaHVw1HoheMgywpGJ7FPjnw0E8nTkkVWmuMJRM7IUWlHdSfVJIZs4HgutZ4pQDSBMBn3/k5SXCkKEookx37OE1qClm32+V7WRxJPav6PC1pYb+y3bYdyeYVMJtP1MwzrgskYaTRRw7RsGpY5kRxsVD/L9Ve8hWu2/8TYx77S0CErhUKBCy+88AWtYxzHoVwus7y8zPe+9z0+//nP8+Y3v5kbb7yRd7zjHXz84x/n0Ucf5bvf/S4zMzMv4V1M8UrClLAMwSjCMjXXj0dvEth55533shC5TtfLwuICj60+1v0xL+gFak586aEma13zeUaPOiCqdnVgF15AiHbLJ1jgb01txQs9Wm5raFt7B51izFGmbkmQoh1iREJCyiMSrVzPxTIj07ERGpiiie/5yLJMsVREFMRuoposyNSdOmk1PdG9zCRm2sWE/V8TqqSR0TKEYUDVrpLT8y+IrAxCIKtn0ESNlmeSkBOxHSqj5GK9kEWZgl5ARGLVWh3rN8rqWerOcP9B/z1EkqtOqIJIlJTW+z6qkoYAHF4+jOM4lEqlofrvON+KKqnktRwhAqut1fGxuhMESqTUFC23NYSICGS0VNTh4zgI0O2KGfl8Eyzo01qKhtMcuqlw1LgvYrvuQCrcekwSUTzKIN9oNKjWqpSKRWZzszieE/39+T6rjQqtlollRb4xSZLIJjPImoKsKCNN+6Igoskq5piUQ4CckaFiDnqhNFkjrUXJZxJSbHraJKWUpVSJlbgJ1Ajzf0QmU7iuRxgKsVHGcZ0qMGjst22bcrncR1ZkSSEM/LFJfCk9SVJJYjkOtUZj6LeMQCSHc9YFNoiCwG+/7xPkU9mx1/pKgm3b3HvvveRyOS666KIf67fasizuuOMOvvnNb3L33XdTLpcxDIPf+73f4/3vf/+UsEyxYZgSliEYRlg6kxXf96cSsCHoJIG96lWv4rTTTjsm12C6JgeWD/Do6qPsW9wXu8s4ijB0ZCySIFFzavh+FGc6UWTyuuSuzo687dt9Bu6snqXlxvtvNFmLjPpug6yW7cb6rpcidSYwhyqHWC2vIggCQRCgqAqGbqAbelcSNpucxfKsaHHqDS+YhHYkcUyze3S+Tbi+29NpM1weM0kLfOd5604U6ewHPlW7OnSnf5IWewmJlJaialcBIYpNljRM3+5bICfVBI7vxr4f45rlU2oKQzEiSWkY8tShp/B9n1KpNHTSmNOzVEdIALsI210q1lokL9KyUTiAY9Lo8UXljRxrZpW4CUxCSYwl0dE9zlC1amS0NGEQUrFqA9+HSTWB5Vljpx0wmdF8JlVkuVkmq2VQJQ3TNgcWwpMY9pV2uaPbs9kQEkW4NuqNbt/E+muSpbbnBIFqs0a92URH4/DaYYCu7FLX9b7v/Ukimie5bkMx8HyPtJ5CRKLWagwQ60nM/9CZnIwnEZMkkc2mZwiCkDCg63tZj4nkaZkiy7XomE46Xi6XJZlMDj1mFHonMFEXTQp8qDYbeO3PYCGVZbUxeF8Xn3Ye/793/czY87+SYNs29913H5lMhosvvnjD1jK+7/OLv/iL3HPPPbz//e/nnnvuYe/evbz2ta/lpptu4qabburzyEwxxQvFlLAMge/7eF7Pj940CWwkXmgS2MsF13d5cOVB9i/t58DygQGNea7d+D7Me9ILTdK6ccINtzFSqw7xEiZN1kirUflf2SzHTn8SaoIwDIc+Z2dxbHs2DadBRsuwWFukvFImlUqRzqQJguBo3KtlI8syW3NbsUQLWZG7pn1DMUgqSbzA6/p6ZhOzQ4MOJrnntJbBkHQs3+qStBcqF+uF1C4LFQWRul3H9u2J5GICAnk9P1Lqp0nR+0EIlm/TiJE2Det3GXqclufJg0+SklNs3rSZutMY+Jzpsk4QBiP9Kh2M860YskFKTREEAS3XHPvZhBfQy7JOCiYKIlktiyzKNOwmpmOR1TNUY+KQJylJTKoJTHewB8ZQDFJqWzpm1kioidg29vUEIiSkVqvRajYjOZ6ixpr/BUFgJlmCUKBuNqg0qt2/Id/3u4ljyUQCTdFiN0WyRobqkOlKLwavKZo2qpJK0zJp2S1m0iWWY6Yrk6SHZYwMtZjrMVQDyz1q7BfbnSq9fS+ypBCGwXh5GgKyrOB4DpZlUS6vDpAV6G+kH33dw832Ud9LBhEZQoGV2uDk6KPveB+XnXHB2PO/UuA4Dvfdd19Xsr1Ra5kgCPjkJz/J3Xffzd13383pp58OwKFDh7jtttv4xje+wbe//W1OO+00Pvaxj/F//V//14Y87xSvLEwJyxD0EpapuX40NiIJ7OWAH/g8tvpYZNpf2o8qqROVLQ7rWEmpqcgg35PIJQoiBb0Qaw6Ho5HJkiCR03JRr4pdGfjhz6gZrCA+MlmRFNJqGqtlcXjpMHJKHlgQQEQs9VDnUOVQJHsRo64K3dBRVbVLXhRJYdaIJjAVu4o/ToI0AWnQZZ2SMUPTa1K1KmM9EZN5agS2prfi+S6WZ1NzRiy+JjTsy4IcTR3cRhRtLCpREea6xX9KjaZkboxhP6/leeTZR5BlmUKhEHncEMhoma70sOVYpNREZFYfg5yei+0BiiYwOep2nbSWRRJE6lYD2+9fSEfnGj+BERBIaalYD8yW9BY838Px3JGLcUPRcX03tg+n198xCptSs9F5Qqia9aGhCes7XkJCKpUKlmV1AycmlXD1SqaSapKEksB2HMr11W7ceAIdU7DRdQPD0IfK/SYJETAUHcuzx34XpbU0CSXqe6kNSb/qHjdBytgkXTDjyVHU95LR0lQa9QHfSy86BOooWckNRHnnE1nWYjwwkySDJVQD07FIG6k+30s2keZ3fvqTU/k2R8lKMpnkkksu2bDXJAgCPvWpT3H77bdz9913c9ZZZw09rtls8u1vfxvbtvmpn/qpDXnuKV5ZmBKWIYjy693uZAWm5vr1eCmSwF4OhGHIU5WnuuRlVC/LJC33hmJEpnFEDjcOxz73MMM+0PWXSIJEza51ZTuxhn1ZRxIkjqwdoVarUSgUyCQyZLQMCHQLJkUx2iHvRCaHYYhlW5HvxTKjpCNDx9ANTs2f2l3k9+6s1+1+qVfUYB8/gemdrEQm72yPyd4eetw4rCc1ndQ3PwzapZfB0OOGQUAgp+dZGzKBSSpteZfnYns2gkDsQjclJXni+SfRdI1cLj/S+7AptQnfjzT7Vas2tKjzx53AdIz7tmtjuhaiIA6QmPWYZAKTUBLY3tEUMlVSIy/TOulYPpFnLcZEX0wWKccY1jVZww/87t+CIETTB0VUaVqtrrm+1/wdErK2toZjO5RmSshSRCYmkXBl9TTVERK2TmRy6IdUmnWqjQqmaeE40fSyIx1TFBVBmEwON8kUqtfY3+t7qTTr3c/OJP0tSS3ZjhYeX9xJXDKaIKApGpZjkVAjyavjetTW9b1kjBSLqyusrq6Sz+dIJBID5yqkcqw2xl/3MEP+egyTpyVUg7dd9EbeefnUbO+6Lvfddx+GYXDppZduKFn5rd/6LXbt2sU999zDueeeuyHnnWKKYZgSliHwfR/Lsqbm+hF4OZLAXi48X3ue/Uv72be4r0s6CnqBqlMdK3eAo4b9ul3vyr1GeS4mTeQqGkX80EcWZZru4E5/Bx3/zZHyEVqtFqVipM/vhSiI5PU8uqyzbC4PJV8hIY7tYJomqqdScSrdqFdd69fsp9WoO0YUJI5MQNCONt0Pt8h2muBFYbLI5DiS1JGOGXKC5dbS+MX+C5jApLU0oiBG3TvWYCADgBIqPH/kefSEQSaTGUlW1vtuZFEmo2ai6N223E0UxIlKKyf1wMwkZwiBIPCpmMMJUiTxqjP2PQjb/ocRPTAdgpuQE6y21sYSPKXdaL/eIL0ecSlcSTVJwchRNRtRYSUhq6ureJ4XeYfE6LtJlaOELW9E+mMHE0m4UkUqZiUi34isNarUm3VM08KyLERRZHN+FhsHTdNGbnR1pgLj3j9REFEkZaj0rBNaICBAIMTKwUrpIisxnpNJjP3FVJHyEJKlyhF5DfzI+3Jo5Qirq6sUCoNltRDd/6gI8g4USY68o2Mms5H0TB74LAmCwG+/+9copHJjn+Nkh+u67N27F03TuOyyyzZsPROGIf/tv/03/uqv/oq7776bCy6Yyu6meGkxJSxD8JGPfATDMJifn+eqq646oRfkG41jkQT2cmGpucSB5QPcv3g/P6r+aKxMo2MIH9ZYr4gKWT2KJq7ZNdJaejLD/pBOlK4ErV0wCdH0x3RNFlcWcR13ZAKVKqloshY9ToCsmkWVVVpOf4GjKIjkjBzlVhnXcTEtE7Nl4geRZt/Q210vothNour0vbi+R9WqDCy6Jo5Mbk9WEkqCpJrE9d2h53thE5gVugZ7WcP0rIFggRc7geka30Wl/Tq2CN2A8soqelrvJh8NQ17PUxlyb73PmFHTZLQMNbsW7c6P+PPqpJDFTU3W36ckiGS0th/BrmN7NrIoR0b+GA/MJClkmqwTBD6u75HSUhhy5IdYL1WaKA54gshcWZSQJQXLtaJ7WGvheh6JbLLvVZ4kYWyScktd0XH9/mjl7tRHUGhYJpV6BbyQ1fpaJMVs9yVpmta3WJzk+SZJYssZWapmLboGSaVhtjDXEQFd0bE9Z2zpqyhIyJIUK0OdZHJkCDqLi0tsmtmMTziUmL7Yycl6jOqLueTU8/nY2z449rEnOzzPY+/evSiKwuWXX76hZOW///f/zle/+lW++93vcskll2zIeaeYYhymhGUIbrvtNv7mb/6G2267DcMwuPHGG5mfn+f1r3/90IXhKwXHQxLYy4U1a60bl/zk2pN9E5OslqXlxSd8yVK0ew6MLZiEyRaDhmJQ0As07SaPH3yckJBisdjdRe47VjYQBGFksWFSSZJQI3mPKIgDXomQEM/zMFsmpmXiOi6bM5uxJRvd0Pues7c7pmJVKej5F0RW1pMQRVLJahmCdhdNXsuxYpYHjhs4nzEz8jhDjgiWF3oogsKSOYGczYifwIiuRLPcJF1I48v+SDKSVJI4vhMb8tBLMHRZJ6Wmo8lIj3QsIk0ZKnaM9l/LULfrY3fwM2okIayaVepj0sPSaorm0DjkfhSMwtA+lWgCmcIPAkREyq3xC1VRENEVLXYHvrOgD4KAcrkMAhSLxegz2Y5MDvyAVbMy9uMzqb9lEqK1JbMJz/exXYflShnLiiYvnne0L6mYKWL5NnGpbqOmK70YlkTWIYu241Az6xMt/CeJRJ6ERIZuyKGlwxQKRQwjakPvhAi0TIumbSKJMoJAbImroeqYzvj3JGukqQ7pi/nY2z7IJaeeP/axJzM6ZEWWZS6//PIN23gNw5D/8T/+B3/0R3/Ed7/7XS6//PINOe8UU8RhSljGwHEcvv3tb7Nr1y5uvfVWJEnihhtu4Oabb+ZNb3oTijJYAncyIgxDnn76aX70ox8dV0lgLxcaToMDywdYWFxgqbXESmslduGmy9GivtkTPdtXMOnUsTwLAYFiohgbzwuRnGipvsTyyjK6qnP21rMjkuBU+rpDkkoSP/RH9rt0IIkSaTWN6Zlj5WwAWSXL82vPY5kWjuOgqmpXOtbxCABsSm7C8R0ksbODP/waXsjExAt9JGF8ZHLRKFE2V2PPV0qUqFhVMmoaQRCp2cNJ5CQTmEa9QdgMUTJq5F2QoiJMgKpVw2ufVxFVFEmh5Y5PucrqOWpWjZDB1/9oJ4+EJEgsNhfHnksRFWRRHjoB7EVUChp99nQ5SubyfZ+qXet+DkQkEqoRG4dcTBRjpxiSKGHIOqqkIgoSNas+dEd/kslCx2jv+R4rK1EvTrFYHJj6ZvQ0AmK0YLZbQ5vQZ1MllmKeL6Ono26aGOKjyipWm/h0PCe+77NSW6XVamGaJjoaFnbb92KgKIMbYZP4WyaJKE5rKXTFwHU9aubwniEBAV3VByYz65FL5KiMCRJotVqErQAppaDr+tBjkmqCvJGnbjapNkdPaibxt4wy5BdSOX773b92UikAXgh832fv3r2Iosi2bds2lKx86Utf4g/+4A+46667uPLKKzfkvFNMMQmmhGVCuK7L9773PXbu3MmePXtwXZcbbriB+fl53vzmN58wpvMXihMlCezlgu3ZPLjyIAuLCzy48uDQ3c+4QkigK9FKqSkqVqVPojUMM4kZDlUPsVJeQdd1crlcN9mr21je7l5puI3Y6Y8iKRiyMeCTkEWZbFsXv2atEQQBRaPYN2nwAz9KSzItbNtGViLD8WmF06i4le51IbTN35KG6ZrdBe+kZKVoFFm11vpkLGktjd6OTO5I5ApGkTWzMnShv/5860nN0QQvjZbTpOk1Y8lKGEK9XkO2ZKSMjKYO/u13yKkqKYQhseTHkA38MOgLIhiGUqLISmuVjNbuk3GtwclICAUjz6o13vSeUpKYnjXUq9UJSBAQkAU5liAZsoHre7FBEcOM/dHue7t/xWmOLZtc/7jV5horKyvISjuVbZ2GbthEpJP85bgOVbOOpmj4gRfrb5mkU2Vcwlan70UVVZaqZerNWhQ5bkem/Y50TFFUFElCFOPlWZMQll7y1/37DqHSOpq4NsqX0ou4FLJmq0W9Wo8mXOrozbxecqRKUS9O4IdUGvW+zZJcIkMlprxylKzspiveyTsuedPYx56s8H2f+++/H4Dt27dvKFn5yle+wu/8zu9w55138trXvnZDzjvFFJNiSlheBHzf5x/+4R+65KXRaHDdddcxPz/P2972tqEGwxMRruuysLCA53ls3779pCVlLxZe4PFI+REWFhd4YPkBmk5z4n4XWZJJysl2oWFboqUkBgomIUoXe3btWVbLq6TTaVLp1MDCDI52y6S0FLIgU3NqQwlVJ10sjiTJokzJKOGFHnWnPvRcQRBgWiaGb3C4fhhJiuKSDd1AUZW+60woCQp6gYbT6Pa9jELBKLK2jqwM3odB0ShgeRar5trY8+X1Qts/Mp7UbE5uJgh9bN+hZg8a2sMQKpUKuqchZ5VuGecoRASj3NebU7Nqfd4UWZAxFGNkgWcHaTVN020Odpa0+1gi/0+NmWRpZHdLB5IgYsjxJZIFo8CaVSGtptEktevb6UPYG5s8GpNEGKfUJGktQ8sxo2nTiJ+nUrLEkdoRVpZX0DSNXD438DehyCqE4Vjyrsoqs8kZWo5JpVkbOTktJvOUY+KAFVlpP9940pZL9HhORJVaq06lXu1GJguCwNb8Fkyssab9SQICFEklDP2h8dJRQW7kZwr8MDbuuJQqsDLC2N9stqhUK5x/+qtoeOO/V0a9lpIokdUzCKGI7wWxZEWRFILAHzDkK5LMZ9/7GyS1wVSykx2+73fTO3fs2LGhZOXP//zP+c3f/E1uu+023vSmVyYZnOLYYkpYfkz4vs8Pf/hDdu3axS233MLKygrXXHMNc3NzvOtd7xraiXEioJMElkwmufTSS6fBAzEIwoAn157sJo6N688YJhdb/9/TWhrXc1EkhR+t/Ii1ylrUY5AY/nkqthf4fQuunglHy42M9gk1QRiEsVIhWZS705++c8n90xI4Kp8KwzAq2bOi6YsgChi6gWEYqJrKbGK2GyrQicMNgoCqVe3G5MLRRfI4sgKQ0/PU7Rp+6HeDDgAqPXIsiDxHDafR9xzDkNfyVJ2jkjhFjLw0IWHXf7S6ukYiNFCzWuzfxKjIYU1WSasZgjCgalbJGtnYUAZFUpEFGdMb32JeTJQiVoVA1aqOnHj0SsFGQZO0KEVuXdraUXLtUDNrbf9VTNqaKCNLclcqNQozyaj1HkBtS+zCMKRq1rqLblXWcFybw4uHMXSDbC47lMBPYrTvnZpEC+bI91I167hto7goiGiKFiuXmiQ2eVQ3S7rtOWnZFtVGjZZp0mjWCYKOaV/vBl8cvfYMlRjCMom0rpDIs9pa67uGhtX/3ZRQo+6pYcuFZrNJpVpltjRLMpGcYCo0WRKb53vIgkLLMmnZg5+bmUyR5drg633Vudv54BvePfb8JyN832dhYQHf99m+ffuG+W3DMOSv/uqv+I3f+A2++c1v8uY3v3lDzjvFFC8UU8KygQiCgHvvvbdLXg4ePMg73vEO5ubmuPbaa8lkMsf6EifCyZwE9nIgDEOerT3LwuICC0sLfY3xE8nFiKK0c1qOgysHCVoBpZkStmgP1Z9343lj/pJLRtRJ0XSbY8sB109/hiGpJknICWRB5nBzMOI4JMS27C55ycpZbDky7K+PS+76MwSJMAhZtVZjyUpWy9F0h3fVCO14XUVUIkLkjF64d5DRMrScFl444rgQ7KqFgoqeM3CC8YuyYqJEeQJf0mxqFs/3EASRul0bGsUsIJDVs7ElkoZs4AU+bvvaOo9TRJWm0+wGMBSN4sj+oV5MUlxZMApIgtQmnrWRRZGTmNVTapKWaw6dckjtLiEBEd/xeOjZR0gmk1GE9BCyMolUShAEkmqShj04Zeokf8mCgiyoHKkdGXuupJqgNWJB34u0lqI+5Pl6sblt2vc8j+VKmZZpYllm17Sv6zpbCpvHhiRAtCkQjJiuxF2TobSndq5HtVWjmC4MjURuNJvUqlWKpRKnFLZO4LkZbpDvu25ZxfO9vs9BUk2QUBJYjkO91URAQFNULHdw6vvpG3+RUwtbxj7HyYYgCFhYWMB1XXbs2LGhZOVrX/saH//4x9m9ezfvfOc7N+S8U0zxYjAlLC8RgiBg//797Ny5k927d/PUU0/xtre9jbm5Oa6//vrIg3AcEoFXUhLYy4XDjcMsLC3wWPkxnqk+M1G6WFJJ8syRZ7DMdlO3EpmoM3oGMRSpOBU835s4PjirZWm5ra5UrVO46AZunzyrLwp5DHrDArodNKFP1RreQfN85XlM08Q0TYIg6Or1dV1HFKJd42Lbi5JWU6iyRtNpDE05y+o5mhMUa6a1NLZno8k6hqQPjTcGSCmpqMV+hIzP9wNWVlZIqylS+RQBIWk12o02XXNgsZczctFrGvPVOuDnECCjptFkvS96OvL8xEm8JBJqYuz7llJTpJUMpmvGEpFR06FeyKKMJmnd6+wlnjWz3iVfxUQhNhVMIHq/ajGfu6SY4PHnn2BLYQuzxdnIRO/0f0ZEUcCQjYF/X49Jpg+6rOEFPrqiRxHNjj3UxzFJq/0kJnpd0XB9txubHKWdZQgDWKmt0mg2sSwTyZfwRK/7NyTLykD3z0TTlWQ+VgqW1lJosk4YBFSbR//u6o0G9VqNYqmErmroqhE7hSokc6zGFFzGTao0WaOUKNJyTKqNOkHP39k5m87kk9d8ZOz5TzZ0yIrjOOzYsWNDw4B2797Nxz72Mf72b/+W66+/fsPOO8UULwZTwvIyIAxDHnroIXbu3Mktt9zCQw89xJvf/Gbm5+e54YYbhibbHItrfCUngb1cKJvl7uTl6crTA4taTdaQBZlnjzyL53kUS8W+FK4OREFkc3IzTuBQc2pjZRgFvUDVro6URHXSrYRQwPKtWF+DKIjk9NxQGVPH1EsIVadKQS/0TZhCQlzX7Zr2PT/aNd6a3Yol2Ihi/99BUk2RkBNtk32tTVaafZKvYUipKRzfHTCxR36Po0QtMrv7I/tMPC9KoMroGbKFXHd6MXjOyEMSBCEtrxUb15rXc1Ts8aQmoU7u+el4ZcZBFpV230oLTdIiWVrgU7FrBD278Dkj3/aaxCeujZaVRdHLuqxjulZsb8ckKV2+47FaXsXIJEglj/bdRLvvkRSpataYTc2w1BhPtiIi4sVOH4bJynRFJ62m8HyfSqtKzognK7IoIYlybETxuEmUKIhkjSwJJcHi2jLVRrUbmdzxjum6gaqqaIqKH/ix5beTdKr0EgipfQ31aoNDS4fJ5nOoqtomY+NJaVJNxJJIURCRRXl86SuQMdLUzBqy1Pm+Eag2mnzoTe9h+xkXj33syYQgCHjggQcwTZMrrrhiQ8nKN7/5TX7u536O/+//+/+Yn5/fsPNOMcWLxZSwvMwIw5DHH3+8S1727dvHG9/4Rubn57nxxhvZtGnTy05epklgxwY1u8YDyw+wsLjAY6uPoUs6ru/y/OLz0QSjWBxa9CUKInkjf1TW0ymFlFQabqOvALCYKLJqrsbu9neikF3fbe+SD++NkQSJjJZhLSaBCmA2OYvjOyiiMjIAwPVcdN/gcOUwruugqhpGOy55vUekmCghCiKe746MX+7cixd6sYvDtJrBUAz8wKdiVfHXycFc12VlZYVsMkshX8Dyx8v4DNlAEiR0We920gxbMKa1FKZnxZMao100GYY9XTdt6VXPtU40ZQshbxT6SjA76E0Es10Hx3di08omlbxF5GeNhJIkqSTboQP9C+SMlqIekwpmWiZ+3UNIiiN9XAD5RB6JSKJWMUd/Rjq+jbHXPkHniCop5I0Cvu+zZlbxRySNTULI0loqknmN+VMVhCi8oum2yLbT7Rpmk9XaWuQfM6O//S35zVg46Ppo0/4kr4Eqq/i+12dsr9fr1Ot1ZkozlDIlFFEh9IkNJZhkwjSJDyiSlQ16YEqpIv/5hl/bsHLE4x1BEHDgwAGazSZXXHEFqqpu2LnvuOMOPvShD/EXf/EXvPe9792w804xxY+DKWE5hgjDkGeeeYZdu3axe/du/vVf/5XXve51zM3NcdNNN3HKKae85ORlmgR2fMB0Te57/j5u23sbh7xDpLPpoe+9LMqktTRr5ujFQVpLY0gGkihF/pKYv/CMmsEKrIEpTbc3RlKo23W80COpJKnGpEHBkCLMIQEAEPWnRIQqwPf9tmzMwnFsFEWJdo0Ng2KySMttdScrshgt4AUB1qwKflumklASBGEQ6xHSpCj4oNONIgoSWS2LLMpRy3yrTrm8Qj6Tp5QvxSaqqZKKLPZ3rYiCSFbLIQlSt1VeV3QIQ6wYMpVSU1j+cFIjtv0ckiAhILbJStw0JF5WFnlecoRhgCppNO3mUEleUkli+3asJG9UGaoqad3AhZpVR5O1kQEUAC2zhVd3UdIKhjE6+Wm9rEwWJTJ6FiEUqFn1rhRzkoX6i5GViYJIVs8gCTJ1q4nd9lfoio7rO12Z1yjkE1nWYgjSqEV/Z8pkOTb1RoNas0az1SIIfHRdR9cNDKPHtB+2Y4pj/DTrZWW1Wo1Go8HMzEx3N78jK+vERduuS61Z70vC0xUd27PHktJJu2AKqTyrQ6Y5N++4nrde8Maxjz1Z8FKSle985zu8//3v56tf/Srvf//7j7n6Y4opOpgSluMEYRjy/PPPs3v3bnbv3s0PfvADrrzySubm5pibm+OMM87Y8C+OaRLY8YNqtcq+ffvYvHkzZ51zFg+XH2ZhaYEDywe6ExNVUtFlfSD2eBg6u+4JJdFtWR9mos/pORoT+EE6qV4iIi2vNVY2Nl4qFCGhJMhreRpuYygB8oMAy4wSxyRXwhc9FF1t91QofTZrsT310SQV0zNjXx9V0lAkheaIe7AsC6tqsbm4mXQmEzu9kASZpJKg5ox7XoG8lkOXdOpOncaYBbomawgIsaQrraUwXYuEmkATVUxvuJyvaBQom2tMUtK5/l5TagpDTmB5NnWrhihIJJT4EsmMlqHuNGLDE2aTm3ADF0loJ3Ot83c1mw0atRYzpSKiMv77aZxnoxNAoIoKtu/GGvInkZVpio7vu8NlZQJktHREjJE4UlsaPKYHk3hgJpWVbUrN4Ichvu+zXC23yyotPM9FVaO/oa2FLdRiYrR7pythGJGVVqvZ9dR1MExW1i3M9ILItJ8sxE5Oiqk85cZ4IplQDVqOyfrPsqZo/O78Z6INgZMcYRjy4IMPUqvVuPLKKzeUrHz/+9/nve99L1/60pf48Ic/PCUrUxxXmBKW4xBhGHLkyBFuueUWdu3axfe//30uu+yyLnk599xzf+wvkkqlwr59+6ZJYMcBlpeXeeCBBzjnnHM444wz+v6bH/g8vvY4+5f281j5sdgCv14z/HposkZGzUT+DbtKXs8PRAoPw7DeloSSIKm2JT5tgjDuuddjJjHTjTjuBgD4HlW70rcLm9Vy1O0aDbPZ7akQRbHb9aJqKgJRqlEYguVZbfKiYQ4hVoqoosvayM6TZqtFZa1CsVhkU24TVatyVM7kD3aoiIJIRsvEmthFQSSjZqjY0XEJOXr9HM9tt9tH9yyLEgklEWs+VyUVSRQx18UEJ9Q2QfUcqlaVtJbG9MxYQlo0SpTNOAO6TtEo0XSaY0MFZElBESOvzDgUjDyrPZPC3lSzht1gaW2Zeq3OuaeeQysYv+ueVBNYnhU7xegEHXQifE3HGpgyJNUEpmuNlJN18EJikzvvi+061NalZAkCJNQkTTumPHYCE31KS0ZkuP3WdMoqBQTKtQqNZj2KHPfBE4Ku/HKcaT8iK1VardYAWZmEaCUUHUNJRj6TnrLK9ZgkQS3qghkkPm+54I28e8fJbwrv+GErlQpXXnnlhioifvCDH/Ce97yHL3zhC3z0ox+drgmmOO4wJSzHOcIwZGVlhVtvvZWdO3dy9913c/7553fJy4UXXviCv1imSWDHDw4ePMijjz7KxRdfzKZNm8YeG4YhT1eeZmEpMu2vj6YdZ4Zfj9nELAFB22tRGUlaEmqCMAz7fDHrocs6GS3TjTiO+0oZJRUCUMQoAAAg9EOqbq0r94LoNbBsG8s0MS0LAcglcxiJBKEUDiy6ovjliGy0nBYJ1Rg5gak3GtRqNWaKJTZlNw316XTkTH7gU7NrZLUcq1ZMRHAYFWGOOk6VVDJqliDwERApm+PPJ4oiKTUVkacxSKkpkkoCJ/Da6W3D3+O0mqbltmKJa6+sTBZlcloOQlizqn3vUcEoshpzD6oULbSGeWVCoF6r4ZsB5532KuzQpD5mMS8AaT0T+3qMimk2FIOUksIJXOpmnYyejm20n2ShPio2WZXbHUR+VI5YTOZjpw8dE703wiPTwbjUr05Uc0pJs1Rb7imrtNubABF5UVUVXdHxfBcvCKhWK5imSak0g6L0B4BMYtrvlbEJCGSNLLIg0zDNbi/PJHI4VVLww8EgAVEQ+e25T5FPZMc+/kRHGIY8/PDDrK2tccUVV6DrGzdN+td//Vfm5ub4vd/7PX7pl35pSlamOC4xJSwnEMIwZG1tjW984xvs3r2bv//7v+fMM89kbm6Om2++mYsvvnis4XCaBHb8IAxDnnrqKZ599lm2bdtGPp9/wec4WD/YTRxbbC6SVtOxO/3QP92A3jjafqN9Wk3jBE6sBKXXV3PUHB5StQf7T2YTsyy1xstjIFpcNt0maTUdxeRatYHFbRiCGIi0Wi0qjahosjcuua/rRZTJallEQcAP/D7TfgjUqjWarWabrGyOXXBDRLz8IEBAoGbXRsYizxgllmOmFxBJ6dbMNTJaNpJIWbWhEdiFRIHVmJhgURBIqekuOev6ORCpWbVu2tmkhZQZLU3DaQ6dOojCUU+NJMgsNsZPAQHyen4oIYzei2g3/7Qtp4MY4gUeumyQVlPRFM6s9gmCJjG0y6KEIqljiTfAptQsfugTBv1llevvV1ei6OlxmGQiYig6CSUZpeqZo6cPk/TY9JZgjoIoCtH00bXI6Gl0SadhmpRrq1hWNMEMw5Atuc1Ygt1OIbOZmSkNdHtMQtoUSSEMw5ETvs6kKwyFoSWQvZhNF1mqD76eV565nQ+//qfGPvZERxiGPPLII5TLZa688soNJSt79+7lxhtv5L/8l//CJz/5yWNOVr785S/z+c9/niNHjnD55ZfzpS99ide85jXH9JqmOD4wJSwnMKrVKt/61rfYvXs3d955J1u2bGFubo75+Xm2b9/eR14sy+LDH/4w27Zt45d/+ZenSWDHEEEQ8PDDD7O6usr27dtJpVLxD4rBcmuZfYv7WFha4NnqsyOnHHGJUh2jvSEbba/FeInGuJLJ9UQoZ+RGTlZ6kTfyg30uAuS0HIqo0HCiJLTIYB9ieSYh4DoOZtv34ns+uq6hGwapRIqMnu7zynRM+yEhzxx6mqbdYqY0w2x6djKysu51jMoqMyiiSt2pd/0nk/bkzCZmWFp3nIBARsugiioNp4npmmOnU70YF3MsCNF5NVElhNjri0iNhOmNX+xntAwNp0FKTUfhCnZraFjBTHKW5eYgaQ2ByloFy7aYLc2QTxaoDflcKaJCpt1N4odBJKmLneqVWG6OJw+arBGEPm6bNEiiGH1+kahZ9W4oxSREJPK3eLFSvF4iEk1AsiiCQt1qdqcPGT1FzR6fHtY9bkhHTC9GpXB1iiId16HRbLJWr9BoNgiCAE3TSSSiyGRJOvqbMsl0ZRIy2Sn57JZVeh7VZr0vxlsSJURBGErgP3Ptxzklf/IWRYZhyKOPPsry8jJXXnklhmFs2Ln379/Pddddx6c//Wk+9alPHXOy8rWvfY0PfehD/Mmf/AlXXXUVf/RHf8TXv/51Hn30UWZnZ4/ptU1x7DElLCcJGo0Gd9xxB7t27eL222+nUChw0003MT8/zxlnnMFP/uRP0mq12LNnz4BPYoqXD57nsX//fmzbZvv27Ru6U9ZBxapEsrHFBZ5ce7K78J/EDA8RYajZNfzQj5K95KgccP2O8qQlkxAt3N3ARRZlGk5jpKG8aBRZs9Zi/QMlo4QkSLTc1oAfJQQ818O0TBzLiUr2ZK/re+ksusIwZHV1Fd8POGfrOWSMDMvmMk7MRGkmMctyzJQorWXIqhmqdm2kX6Z7LxMkeAFsSW7FD9yoAHOM1n9SUtNZxHf9HO5gsWYnOawSE2OtSCqSIA68rx3/T8dTk9Vz1Ib0z4QhrK2t4jguMzMlNmc2x96DKEgklQSyJCMKEnWrMbSPaJQUbD3iJldZPUNCTlCz6rHpYZNMRDJaOjK+j/gF7rwvhCJL9fGvxSR+GlmKfCquN77DaCY1w9LSIq2WiZrQsBwb0zRx3ci0r+s6pxS3xpr2ZVEBRk9XOhg2qYkmtREprbbq5JM5lodMVy7c8ip+8S3/fuz5T2SEYchjjz3G0tLShpOVhx56iGuuuYaPf/zj/Of//J+POVkBuOqqq3j1q1/NH//xHwPR5t5pp53Gr/zKr/CZz3zmGF/dFMcaU8JyEqLVanHXXXexa9cubr31VlqtFps2beKP//iPedvb3jYw2p/i5YFt29x///0oisLll1/+srwPTafJA8sP8Pjq4+w9sjd+xzdRomyWh+5Yp9rt7pZvtZOdpLFxtDDaiJ/RMuiS3pc4Nu65e7G+ZyXyIKSjJLSehakkyqSUJOXWaruo0sRxHJT2ossyTRAESsUis6nZ9jVGOn9V1Gi6jYFY39nkbF8R5ihEJGQFCDGURLR73V6095r2i0aRsrlK3PZ5QS+yah09zpCN6HUI/LZEKmw/b5EVsxy7Gz+TKLE8hLx2d9o9h5pdo5QoxU5gJiU1aTVNQkngeG7fBK1DHD3Pp1QqUUwVJyquHCRmnfdOpWm3aLkmsiQji3J3WjEKxUSBcozMDtokw66TUpMkFAPTtamvm2pMIpWCCf0fyQIrzVUMte2zcR1qVp3ePxFJFFEkNfYeJzXtP3fkeWzHZqZUQlVUsnoOEZG1eoVqo9Zj2ve7ccmKoo407Y9DWk9Tj3kNlHY5ZBgI1M1m34bCJ97+C5w7e9bYx5+o6HS2HTlyhCuvvJJEYnSk9wvFI488wrXXXstHP/pRPvvZzx4XZMVxHBKJBDt37uwrqvzwhz9MpVLh1ltvPXYXN8VxgSlhOYnxgx/8gPn5ed74xjeSyWS47bbbkCSJG2+8kZtvvpk3vvGNG9qMO8VoNJtN9u7dSz6f56KLLjom5Wa2Z/PgyoMsLC7w4MqDA96U9d6WUUgqSWRRRpEU3HaJ4zAIgkBBL8SayJNqkpwWxSuPOlcHKTWFG7gjfTWd+OUwCAkIBvpqfD+g1WpRq0cyIkWW2Zo7BUu0kBWZ9T/bKTWNLuvYvo0h6RP5b6KyzrWhkb69HSQAFbsSO03KalkaTmOkKV4RVTJaGgWFslnGjdvRNnJUxqR8dbAptQk/8AlCn6pVG/n8kxdXHvWtyKJMRs1CGPLk80/h+h6lUhFdMRAEYn1TBaMQGy6RUlPk9Bw1qzZWKqVKGiHBULlRL0YtwHVFb/trfOpWHVVWY7tEJpnAyKKELCkDRESVVTJqhiAMqDQ7kcExXhlVx3adsZ+1kJCg6bHSKFMqlZCk/g2Vjmk/KadYaayyVlvDNC1s20IQhC550TQNVVbHelc6mITc9cvYBLJ6GlXSKCYK/NJbfm7sY09UhGHIE088waFDh7jyyitJJkeXpb5QPPHEE1xzzTV84AMf4Pd///ePm6LNQ4cOccopp/BP//RPvO51r+v++6c+9Sm+973v8S//8i/H8OqmOB4w3Wo/SfF//s//4aMf/Sif//zn+Q//4T8AUUnkPffcw86dO/nIRz6C53nccMMNzM3N8eY3v3laGvkSoRMhfcopp2xIJPWLhSZr7Ni8gx2bd+AFHo+UH2FhcYEHlh8gIScm8lqktTS2b/dFsHYWUL1m9k65YRxZgSji92DjYH/EcRDtwvfq2NNaGtuzcfxB2U8Hju9QsSsk5AQtt0UxUURA6JZLhmFAs9nA0HWy2RxJIcnBtYNYloUkiRhGItoxVqO45IZTp+HUmUnMUGv/rxt4VK1K37V1kNfzrJmVkf0jjm+z0lomrWVwPJucnkNAoGrXuqWYvUgpqdgELzdwsFyLWlAnEAIKiXzbNzRo2k+pyXY/yniyktWzLLeWu8RKEkUKeuHoedum/aJRnOhzM5Pq9614gcdKa5mVlTKiIHDe6eegSiogxErBNFmP9VZFx2k8X3seAF0dbdpPaYnYIsmEMvoYy7W6pGJTahYv8DEUndoI074qa1RjEs0A8on8UCLieA4rXvTvKT1JKPgUU3lqZmMk6UoqCUxn9AQmJMRtOKw11yjNzCCJg503YRhStarYioMdmsyWitHfmW2xUi1jmhZra2td076Jha7rIxfEGT09UdJaoy8hLuy+du/efvLGGD/55JMvCVl5+umnueGGG3jve997XJGVKaaYBNMJy0mGMAz53Oc+xx/8wR/wta99jWuuuWbocZ7n8Y//+I/s3LmTPXv20Gg0uP7665mbm+Ntb3vbhmplX8lYWlriwIEDnHfeecdthHQQBDxReYKFxQX2L+0fqffPalmabnPsrqkiKuSNPLIgs9RaetFt6EA3cSwIA/zAp+W1YnfBZUmOfAbrootFQcQQDJYXlwk1SKQSzCSPekfCMMSybEwrko4JwtGY1625U9rE6+hXpSKpkca+JxY6p+ep26MnER2k1BS27+D2EC9BEMlpWWRRoWbXsH0bXY78TXEFkqqkIg0xxQtEAQpRUEETP/CHdresh6EY+IE/khh2gxkknbrToOGOJw8FvcCq1V9c6fsBKysrSJJEsVhAEIS23G75aI+OYw4lJjkjT8UcTzB0WccP/aGfF0VU2hKjEBFpqDRu8DnjE7gyWpq63egS2Y5pXwhFana96x2ZxG+SUpM03VYssew9lyAIZPQMiqDQtFtdgpIx0gPdL70ICVktl1EFlUQuOZSsdBA7ZfI8avU6tVadZquJ53lomtZN7ustJ55kujJqEnVqbiuffucnxj72RMWTTz7Jc889x5VXXrkhgSwdPPvss1xzzTVce+21fPnLXz7uyMpUEjZFHKaE5STD//yf/5M//MM/5LbbbuPSSy+d6DG+7/PP//zP7Nq1i1tuuYXV1VWuueYa5ubmeOc737mhOzyvJDz77LM88cQTXHLJJSdMwkkYhjxbe7Ybl9zxaxT0AlU7vmRSkRQMOeo66aSECYLQjtLtXzxOag7P6lkszyKpJBEEIYpLHhL/qogKhjK8Z8V2bMorZdLpNOl0ms2pzfiB300c638NouNN00TzVCpOFcPQ0Q0DXdMGJmSiILEpGcmn1qy17vRhGKKCyzCGhAgUjAJqO3FsWNJWB5Igk1CMWGO/LMjk9TyCIGC65kjTviRKGIox0B2yHqrcJkmuSVpLY0h6FAaw7jqSShLHd/ree9/3WVlZQZYVCoXomqKY4wrr9YhJJUlCaReUWrWJ0r5gMqO9oSTwA5+UmoySwOz6UNP+JM8pCBERHfW6Cm1/TUJJsmZWYiVjOSPX9vG8+GPSWhpd0hBCcWRSV4espKQkckYdS1ZkUUISJewhr1EvNqVn8HyfMBQoV1dptBpYlhX5xxQFwzCYzc/Gps4JgoAu60OjqH/udR9k+2mT/b6dSOjUDmw0WTl8+DDvete7uPrqq/nqV7/aRxyPJ1x11VW85jWv4Utf+hIQbaadfvrp/PIv//LUdD/FlLCcbKjVajSbTbZseXExj0EQcO+997Jz505uueUWDh06xDvf+U7m5ua49tprp3HIE6CjPz548CDbtm0jl8sd60t60TjcOMwDSw+wb2kfz1WfG3usJmvIojzUiN/ZlVdEhapdjSRHE5CVnB55W3onNYIgkNNySKJEzanheM7YxDLTMlldXSWXzZFMJgfS0tJqup2SZfYtuKP29zK20y6qNE38oL/rRWxHBJuuiRu47XjjLIooU3caWD2LMk3WEQUxtgFeFmUSSrIb6ZtUUiTUBJZrRffX5ktiO0p5LWZhLhARgsi0H8GQE6TUZNcA3zkuZ+QGfD8D5xOiaVvFGpw49Jr2G04TXdZp9kxgPM9jZWUFTdPI5fIIQhQg4AX+WKIHUTKcIAh4vj8Ye92D2eQMSzGfLYFoGtEbdR2RiiyKqNKwG5iuRVJNYHkWfjDeZ/RCu2Ai034C0xksxSwmi5Rj/C2CIJBQE33SzGHoTGCORga7VM0aYRiRlXK5DEHI1s1bcWKml5Pco6EYWJ7VnQyJgkhWzyAJMpVGlWqjhmmaKIGMGVjtv6OorHK9UnbUJGpLZhP/8V2/elwYxTcSzzzzDM888wxXXHHFhv7OHjlyhGuvvZarrrqKP//zPz9uyQpEscYf/vCH+cpXvsJrXvMa/uiP/oi//du/5ZFHHoktVp7i5MeUsEwxEkEQsLCw0CUvTz/9NG9729uYm5vj+uuvJ5vNnnQ/Gj8ugiDgwQcfpFqtsn379pNqOrXSWunGJT9TfaZPrpJQE4RhGFvM10kNc3wHTdJoeoNxyR0U9EK8KV2Akl5CkRWqVnUg1avZalKpVCgUChi6ERvt3Ekck0WJI/VFQo4+dxSX7GKaJqZp4Xku+WQBWZeQVBlpiMQikjfpWL5FEAR9i/dhEAWRjJYdmbilyzopJY0XeMiizMqEhZTj7lmVVDJqFk1SOVw/TBDzkzBpPPZMskQYhvhBQNWuYjs2KysrGEai/d0R3W9KTQ2divVfo4YA2O3yUFmUyWm5qLvFrOK3Ce2o2OT1mITUZNQ0KS1D3aqPjZFOqykabvNFd8FEn7kUju9EMi6BoZOevnNNkMAlSRKyIA8EGCiSQkZNc/jwEWpWnfPPeBXlGA+Ppqh4/mDL/HqUUgVWGiPkbgJktQwpNc1qY43V2lqU3md1TPs6um6g6xqSKKHJ2ojpygfYftplY6/jRMOPfvQjnnrqKa644goymcyGnXd5eZnrrruOSy+9lP/9v//3CZEQ+sd//Mfd4sht27bxxS9+kauuuupYX9YUxwGmhGWKiRCGIQ8++GCXvDz88MO85S1vYX5+nuuvv55isfiKJy+u67KwsIDv+2zbtu2kDjGo2lX2L+1nYXGBI80jWJ4Vm+wkCiI5IzfQdZFSU9Fuc8+Eo2hEMb5xX096e2rRISqRDEbH8iwOrR6iXqtTLBbRNG3ihXYxUaRsltEkjbSajsIEhuzoa4JOtVGh1qrjOg6qqnV9L727mLKoYMg6AQGGnMDxnaGFiAICeaMwcXFlxa62fTRQtap44aBMblgh5ajzLbeWkUWZrJaNggrMysACdVIZ33pCEPg+rVWTTDqDmBC7E7NJ3pPO5GOUxCuaNOWixbkfScfGIatlqTnxZZO99xBFUyejUsMe036cFKyDjJaJJWVw1LQfhiGV1vApki5reIE31NDfi1GkJgxDVsorhGHIGVtOJ6EmIBTGmvZLqSIrQwonezF5wWUU55xUEySUJKZtUa6uYlrRRkAQBGzOzWILzoBp/2Scrjz77LM8+eST7Nixg2w2u2HnLZfLXH/99Zx77rl87WtfmyaCTnHCY0pYpnjB6JRZ7dq1i927d7OwsMCb3vQm5ubmuOmmm5idnT2pflAmgWVZ3H///ei6zmWXXXZcj903Gi23xYHlA+xb3Mcj5UeGLnokQSKjZ2LlRoZiUNSL1N16n1xn1LHAoAeFkFq1hm/5nLn1TJCiKcIk04gOWVm/6Oru6IchVbuKLuk4gYvT3vH3fR/TsjBNE8e2u1r9VCJFNpEbIChH09COJo6VjNJE1zisCybyC+XaKV5V3MCdnKCN6ILpEAFJkKjZNVJKKpKVxfxiFBNFyq2ji9uufyiTJp1KdxPkEkqCleZKd2oyChPdRwh5o8CatUZWy6BKGk27OTBxk0UFRVJiZXkZPUvdHk5qoujsLEEQIAnyBAWXAoaSiO0sWu+7kUSJjJZBEkSqZr37d1VI5GNTzVJakqYzaNrvkBVCKJaKzKZmuqb2Uab9tN4mZDHvey6RpdIa/zdbTOYpNwevXZM1Mloa1/NZq61h2w7VRhXP8/o2An7hTT/LtlMvGX8hJxCee+45nnjiiQ0nK5VKhRtuuIFTTjmFXbt2oarqhp17iimOFaaEZYofC2EY8vTTT3fJy7/927/x+te/nptuuom5uTm2bt160pOXRqPB3r17KZVKXHDBBcdd+srLCduzeaj8EAuLCxxYPoDt2ciSTFJJxhIQ6O+C0WSNjJqJIo7XyXySShI/9AfM6yEha2trOLZDqVRCUaLUsqbTJKNm8EKPilUZuhAtJdqEIeYbMa2lUUUVoUMO1qVp+UEQmYwtG8ERsAUb3TAwDANFUQa6XhRJZTYxg+lZkQRuzM75JJ0ngiCyJbkZL/CoOfWxBv+slqXu1GO7YDJaBpGooLDpNGiNMI1ntDRNt9n1fFi2RblcJpvNkkoeNRHnjFw3trqPYHj9RKJoFNpkajxGvS4ppT29c6JAgIJRjJ1gSaKMKqkTkZqW0ySjRdLYaqs2NBVvJjXDcmP8eyYJIpqijXxdO1OmhJJgrbUWm/Q2LNUsCAPKK+VIRlkskUvkqI5JPktraQxZR0BisTa+f2iSxC9BoO27Gf+6dkz7AgIr1VUarSamaZIRU/zc9p9hdnaWmZkZUqnUCf3b8vzzz/PYY4+xY8eODfU51mo15ubmyOfz7NmzB13XN+zcU0xxLDElLFNsGMIw5LnnnmP37t3s3r2bf/7nf+bKK6/kpptuYn5+ntNPP/2E/oEZhtXVVRYWFjj99NM5++yzT7r7+3HgBR6Plh/lkfIj3Hv43tjujNnE7MhiRkVSuoWQXuhh+daAzj8MQ8qrZXw/akxXJIWcnhsoGOzEJfdGEk9KVtYXV3bCBGRRpmE3uyZ7SZBIa2lWzTVsy6LV1uqLoohhGBi6gapFXS+9i22pR5JVtat93SydEIC4i8xqORpOvZvoltEy6JJOyzX7IohTSgrbtwfS29bDkA2CMOibhKSUFIZiYLs2tXbQga7ohGHYfW06YQf5XL6vpXtcbHJKbZ/XswiCEMu3YqOxc3puoLNnGDYnN+GHYVR2ao4+fpKJjtwmNb0TnIhU5FBEhbpdx3LtiaVgE3lSRAlFlLE8u0smWo65rqdkeBRwEEYx0oIgUCqWEEWRpJqMTYMrJgqUW8NN+937FiChJmMDACYpy5QkCVEQuxHQvab9uYuuY1Ypsry83A1umJmZYXZ2llwud0J99x48eJBHH32U7du3k8/nN+y8jUaDm2++GV3X+da3vjWtJ5jipMKUsEzxkiAMQw4fPswtt9zC7t27+f73v89ll13G/Pw8c3NznHPOOSfUD8wwHDlyhAcffJALLriAU0455VhfznGNIAx4cu1J9i3uG9r1Mqk3Iq2lcX2XhJLoizgOgiBKPAKKxSKyHC384yRooiCyNbUVy4+mG8PikjtIqSmcwBlriO6QA0EQWWwc6ftvYRhNHCzTxLQsBGBLdiuWaKJp+kBKUm/iGAismCsjCyl7Xx/LtUaSkKSaIiFHcb4tt4Xlj9+plwUFTVbHRisbskFaTSMgsNRYJiSk1WqxVlnrhh10zydK6BPEJsuiTFpNIYsyTuBSs2pDCYYu6wRh2JXmjUJGS9Nwmt1JkiKqZPUMQRBSsardqdZ6OdsoTEJqcnoOTdJp2A2aI4IlALJ6ZqIiybGmfTWF47mYjhmVQPbIMoMgIiuiKHa9hpMQJLE99VkfwdztRwoCKq0axWQh9lyTRiKPSiI7u3Qmv3r1L3X/v+/7rK6usrS0xPJy9L0xMzPDzMwMxWLxuJbkHjp0iEceeYRt27ZRKBQ27LytVov3vOc9ANx2220bGos8xRTHA6aEZYqXHGEYsrKy0iUv3/3ud7ngggu65OWCCy44ochLGIbdVJfLLruMUql0rC/phEKn62Xf4j4WFhcICSfyWgwrrhQEgbScZnlxGVuwSefSKJJCSk3F9nBA/3RDEARyemTe7pQ3djAJWQEQRZGMmqFiVbodIpZnUV+3yx6GkJbSPL/6HKZpEYb9ccm9fw95o0DVqpBS01GymtsY8GZA1MbuBX7s4l0RVVRZxQ880h3J3ZAJhSi078WujD2fgEBOz7NmrUZt9bZAeWUFPaejrNPOFxKFgdCFoedbF6/cWyJasaoEoT9xwlicb0UWZTJaFkWIkubiijpfDKlJKFGMseM51Kyj0dmRFEwfmZTXQU4fHiO9HrOpGYIgjMiEGZH55ZXldkFnEQEBTdbwAz92cjWbmmEpRsqmyRppNUUYMta0P5susVQf/zeuKWp0Xf6gJPKTV/8i55TOGvq4MAypVCosLy+ztLSEbdsUi0VmZ2cplUrHlX/j8OHDPPzww1x++eUUi8UNO69pmrzvfe+j1Wpx5513bmjS2BRTHC+YEpYpXlaEYeQxuPXWW9m9ezd///d/z9lnn83c3Bzz8/NcfPHFx7UHJAxDHn30URYXF9m+ffv0h2EDcLhxuEteDtYPDj0mr+epDWmRdz2XlZUVdE0nn89TMApokkbFqsQW0431gwiQUaPGdT/waXiNicjKqKlO12TvRyb7UnKG5bZxPgRcx8E0LUzLxPd8dF1DNww2ZzfT8poD951S021JlkXNqaHLBgLE3rMkSKS01ICfSJHUbuJYxYxkcoVEvN8D+l/Her1OvR4lsyX1JBk9ixgKVOwqOT3HygSlj3HTNkmMCkkNSWexudwnmxtA2CZJMT4YUZBIKgkaTiOaakkKNas+kHynyzp+6I9cmHeQNwqsjXhOTdJIa2n8IEBGZjmGrMf5WzpYb9oXEDDXWsiSgp7Ru6lio/pNemGoBo5nx/bP9E5qBCEqx5TXmfZ1RcP1vQkikYcnkV285QL+f6//yNjHdhCGIc1mszt5qdfr5HK57vSlV5r4cqMzkb/88ss3dJPLtm1+5md+hnK5zF133XVC935NMcU4TAnLFMcU1WqVb37zm+zevZu/+7u/Y+vWrdx0003cfPPNbNu27bgiL77vc+DAARqNBjt27Jjqg18CrLRWIvKytMCPqj8iDEOKRpE1a23AGO64DisrKyQTSTLZDKqo9jXdd70bXmvAPzPOL9OLtJbG9mw0WevGJQ9rlR9HVtZjU3ITfuC3pwWDPTOu62FaJpITpXPJqtz1vUjS4N9DWsuQlBOYnkV1zDQkKtyMJiHjIIkym5KbsD2bql0bSwg6ZCUMoV6v0Wg0hu5qzxgzeKHfTRwbRf5KiSIrE00vouOiqVgWWVSiqdg6gjFprPNwiZfQ7tHRaDktWk5roGxyGFRJA8KhHp1e5Iw8TbtJVk8TBgIVqzp0UT+Rv2UdqfEDn5XlFWRZplAotD+fGRJyklVzFcsdP4X7cZLIOuj4bCRB5nB1MeZcCZqOOXAuURT4zNt+jS2ZzWMfPwqWZXUnL2traySTya7vJZ1Ov2yT/cXFRQ4cOMBll13GzMzMhp3XcRz+3b/7dxw8eJBvf/vbGyoxm2KK4w1TwjLFcYNGo8Htt9/Orl27uP322ymVStx4443cfPPNvPrVrz6m5MVxHBYWFgjDkG3bth1XMoOTFRWrwoPLD3L/4v08vvp438Letm3K5aNRuZqkIUvyyOjYpJrEkA0c30GX9YFY4GHIaBlMzxzYTU8oCZJKMur8sGtdg/1EErR104O+3hOr0i1AzGgZTNfEdKOoZMs0cRwHRVUxdAPD0JFludvx0iFRqqSR0TL4oTfQHTNpzHFvbLIgiOS0HkLQIzcrGUVWzKgrp1qtYLZMSjOlgb6HvJanYld6JGcCGS2NJul9iWNZvZ1YFrOrn9Wz1IZFDgvtok5Ro+W2UGWVNbNCXEjBpK/L5tQW/MDH8mzqYzwneSMfS1xlUUEW5W5IA3QM5u0YaauO4zlk9exk6Xo9/hbf91lZWUZWFAr5QndRLosSiqRiumbUVyTrmLZJY93fzCRkBYYnka1HRk9Ts+vdcsxhpn0YnTL22jNfzQeu+KnYa5kErhtNYzumfUVRupOXfD7/kv2+LC0t8cADD2w4WXFdl5/7uZ/jscce4+67755Kk6c46TElLFMcl2i1Wvzd3/0du3bt4rbbbiOZTHbTxl73ute9rKZK0zTZu3cvqVSKSy655Lg2dJ6saDpNHlh+gIXFBfY+v5fl8jK5XI5kIiIigiAM9XWsx0xyhobdIKkmo7SoIQWOcJQwxCVoJZQEeS1P02vGJlXFRRJHC9YsqqhGRu11RnffD7AsE9M0sW0bTdEopAv4so88JC5ZFiPfR3RuITYOGaCUmGFl5HFHiQYhrJjlaEpUWcOybGZmSgNN2mk1jemZY/0SKSXVNo07rE7Q0zMqYawXCcVAlVQUScX2rG6S2Xqk1TQttzUguVuPvJ5nzarQIT9HJX4+VfMoGZs0PCJ+kiRQMPJookbVro2Vg/Umkfm+x/LKCqqqks/l+yYIo0z7STWBoSRwPJem3USRFKyY2ORSssBKjKwMjpZE9kKVVTJqpmvaz+gZKmZl4LGqrPCf3/lpcsbG9ZN0EARBn2k/CII+0/5GNcIvLy+zf/9+Lr30UmZnZzfknACe5/Gxj32MhYUF7r77bjZt2rRh555iiuMVU8IyxXEPy7L49re/ze7du7n11ltRFKU7eXnDG97wkjb41mo17r//fjZt2sT5559/QoUDnIx4/vnnefCRB5G2SjznPsczlWdoea1YozQMJwydxZMf+FTtaCIxzNw/DLIo95n7FUkho2YICdt9KkcnBZP0p0C0gLb8KOUrp0URuQ27ibmun0QIRURfZKm6hGVZSFIUl6wbBqqq9pGXmeQs5VaZnJ5FFCSq9mB3DHTM5IMFkuuRUTO0PBNVVGlWGtStBslcEknuJ/K6HBGbF5JEZshHE6/WTxZkUcJQjNhWeVmU0GWjTwYYEYxUu6gzIpayqKBKSizR1eQornlUmIEiRpHbiqhQbq7GktwXY9pPqZ0+GZN6T3ywKIgYik7TaXXJiqaq5PJ5hJ5PQVpL07Ab8dHPqVm8wI/+HqwaQTB4vCRJKOIkpCY+xlgWZYrJIp7nDZj2r73wHVx30TvHPn4jEIYhtVqtS15M06RQKHQJjKZpL+q8Kysr7N+/n4svvnhDCYXv+/zSL/0SP/zhD7nnnnvYunXrhp17iimOZ0wJyxQnFFzX5e6772bXrl3s2bMH3/e54YYbmJ+f581vfvOGSrU6Pzhnn302Z5xxxpSsHEN0Ckp/9KMfsW3btm53geu7PFJ+hIWlBR5YemDo4lNAoJgoxsp+FFFhJjGDG7ismqtjd90lUSKlDprXO5BFmYyeQQgFJEGayC8zLonsaJdKi5ZntpPIomlEGIZYlo1pRdIxQRC6RZWn5k8dmJhEccnRArvuNLA8k7yep2rXCGImDQklERV2uhbl1dVu501KS0WSn/bUShJkdFnr630ZBlEQyWiZoXI6VVLJqNn24rlCzsjHJoxBfBJZJ3FMFVWONBfH3rOAMJFvRRJlNEnD9iyyWpsYmjXcoP+9NJQEru/EkuGCMToowGhLEj3fQxEVlpsreL7HynLUTZLL5/rIiigIJJTEgPRrPTJamnoPqZFFmayehZDIX9NO75rEUyNLMqIgxgZV9JIaQYhea0VQEJH41Fs/gSa/OLLw46DZbHZ9L7VajUwm0y2rTCaTE52jXC6zsLDARRddxObNL85/MwxBEPCJT3yCe+65h7vvvpvTTz99w849xRTHO6aEZYoTFp7n8Y//+I98/etfZ8+ePbRaLa6//npuuukm3v72t/9YDb+HDh3i4Ycf5qKLLmLLli0beNVTvFCEYchjjz3GkSNH2LFjB+l0euhxQRjw+OrjLCwtsH9pP1WriiAI5Cdc6OaNPDUrSiKThCiJqrfrpQNZkknKyZFysl7MJGcot8pk9exRw/mIwsSJYpMFkZJRIgQsz6S+TuoUhmA7NqZponkaFWctIi+6ga5rQ0n35uQWQgIazqAMrReqrCEJEk2nSblcJgxDSsXigPZflw3yeh7bt4eGChy9WI4WdsZgU3JTtMgPhajsc0Ti1GxyhqUJJFkd6VYncUxAoGoNBgxMOhkrGsV2qedRdNrpFUGhbjewfZu0mqEW87mJTPvExlNn9RyWa2KIBgcPHcSTAzLZTB9ZgdHdJv3XCiktPfB56qAjVzRkndXmGpY3/tomJTUCwtDEtQ/u+GmuOv3VYx//csC2bZaXl1leXqZcLpNIJLqm/UwmM/TvaXV1lX379nHhhRdu6G9HEAT8xm/8BnfccQd33303Z501POZ5iilOVkwJyxQnBXzf55//+Z/ZuXMnt9xyC5VKhXe9613Mz8/zzne+c+I4y96d/Msvv3yaunKMEQQBDz74INVqlSuuuGLiZLYwDHmm+gwPrTzEvx3+t1gJzqgkMuika+WQRAnLjdrqJ2ovH7LYFYQoeUoVVepuHcu1XhBZyem5vp13XdZJqSk83+vz0JTaz+04TlRUaZr4QYCu6RiGjq7riKI4UDSZVCLpkeX3d8d0zP1Vq8pKOUrnKhaLiEMWbAXjaBxyr4+mYlXxw6PEb1IysN5XIwoiWS2HJIjU7Hr3dZs0YayYKFA2VweUb53EMUmQqTt10kqKlQlincf7fo5ia2oLXuDTtFtjieG46UoHkiijSip1s8byygqGrlPMF8nqUeN7tVXDCzwyWoq63YyVgo3yt/RCANJtT0pWz6BKGi27NVCKmdZSNJzmyPSwDkZJxk7Pn8av/8QnjruJtud5lMtllpaWukWcnclLJ4ltbW2N+++/nwsuuGBDpVpBEPCbv/mb7N69m3vuuYdzzz13w849xRQnCqaEZYqTDkEQ8G//9m9d8nLkyBHe8Y53MD8/zzXXXDNyh95xHO655x50XWf79u0jj5vi5YHv+ywsLOA4Dtu3b3/RWnKA52vPs7C0wMLiAocbh/v+W8koUbbKsQssVVLRZK1bvtewGyN7TyY1X88mZhFFkbpdH7uIFQSBvJ4fu5BVJTXyUggKi82lPqlTCHiui2mamKaF57lkEzlUXUXSJKQhCUm6bHR9H4QhZXOVleUVJFmiWCgMXVCOIyFie2olIiILMout8VG3AHm9QMVaG7PgFshp2cjbYjUG4qvXI62lMF2z20ky+rg0kiChiDIt1xz53qTVDE23MXqK1HMfa9YaHZaUUJIk5ASO71DrSRwrJUsTddWUEiUO146wsrxCImGQyWb75ioC0WRRk3TWzLWxMcZJNYHpWrH3MOrakmpUimm5NnWrPtRovx5pLUXdaQwljb/6pl/mrMKZYx9/rBEEAWtra13pmOd5ZLNZ1tbWOO+88zjjjDM27LnCMOS3f/u3+d//+39zzz33cP7552/YuaeY4kTClLBMcVIjCAL27dvXJS/PPPMMb3/725mbm+O6664jm41kP7Vajfe85z2Ypsm3v/3tH0tONsWPD8dx2LdvH6Iocvnll29osMJic5F9i/vYv7SfltuKJEkx34KqrKKIykBsclpLY0hGX9fLpB0v6ycrnehl27P7ul4mISsdFBORNEkWorhkQiJJ2zrPhIJKs9Wg0qziOg6qqnZN+3JPCl5nmlG1qjTLTVRVQU7LQwlEbxzyOBSMIhWrQkZLo4gqDWc48Uur6YhchOP9HnrbFB9Jrtrvh9sa8GyosookSJju+AJGRYoih3uP6yzKexPHFElFEsTYwAdd1vGDYMDP0oHWjqIWkSi3yrH+lmKiyJHqIisryyTaHUTDZhFHJz9H+2RM16Rh978uWT1DdUxMM4Ch6Li+G0v0NqeijiE38NrxxcP/sEY951Wnv5oP7vjpsc9xvCEMw66EWFVVHMfpM+3/OL8lYRjy3//7f+erX/0qd999NxdffPEGXvkUU5xYmBKWKV4xCMOQBx98kJ07d7J7924effRR3vKWt3D11Vfz53/+5ySTSfbs2bOhWflTvHBYlsXevXtJJpMveYz0qrnanbw8VXlq6AJLl3VEQYxNk0oqSXJ6jrpTj5WMpdU0dmCPlIEZitGN+pVEaTKyYhRZtVYHy/faUjIBkZpVQxIlBEHAbN+P7/uYVtT34tg2sqKQaPteZjObWKovsryygq7p5PJRcllX5mVH3TGTyruyeo6GXR8INEiraQzZoOlGcqleEjIOkiBjKPrQyUpCSZJUEtieQ8Ouk9bizfMCAjkj2+5vGQ5D0UmpaWRB4khjcazcSmiThTi/kyzIaLKG4ztktWzUbWPVBsiLLutYjs3hxUMkksnIRzHkfFF/S41hTDypJEmoSWzXRpO0WCkYQN7IjX1NADRZww/87jUrkty+F6ia1S7ZGSUF0xWd//L2/0haS8Vez/GEarXK3r17OffccznttNNotVrdyUu1WiWdTveZ9ieVuoVhyB/+4R/yxS9+ke985ztcfvnlL/GdTDHF8Y0pYTlJcNttt/E7v/M77N+/H13Xufrqq9mzZ8+xvqzjFh0j91e+8hW+/OUv47ouV199NTfffDM33ngjs7Ozx52G+pWAZrPJ3r17KRaLXHjhhS/re1B36uxf2s/C4gKPrT6GH/gYSuSZiduVh34ZmCEbpLSIcKxfrKa1NJZnDTUb96Ij62m4jYHo5fUYRVbWo+N5EUKhmxDWCz8IsCwLs2Wi+RrNsIHvB+iG3i4h7D+fKEhsSW3GaaeDjTOKp5QUduAMjVTuRUbLklQSNNwmdavO0BU5bXKh59pSq/HYlNzUXkxHiWOjXqZJpXyd4xRJIatno04RqzqQODa5T2ewvFLqSugkqlYN13dIiAmeeP5JUqmIrAxDx99ixhDslJLCJyClJPF8n8qI12WSeGIYn84miZFpX0Km5Qz6XgB+8rKbufrsN8Y+z/GEWq3Gfffd102SXA/HcVhZWWFpaYlyuYymaczOzjI7O9ud7g9DGIZ88Ytf5POf/zx33XUXV1555Ut9K1NMcdxjSlhOAuzatYuPfvSjfO5zn+Otb30rnudx4MABfuqnNqYh+GTFv/zLv3DDDTfwsz/7s/zCL/wCt9xyC7t37+a+++7jda97HXNzc9x0001s3bp1Sl5eBlSrVe6//35OPfVUzjnnnGP6mrfcFg8uP8hDKw+xsLQQSy7GLXR7u1780Mf0zHiyMkIG1un8AKK0rNCfmKxERYo9sjYh6lTRJC1aRPb4NGYSMzy/dpCV8gqyJOH5PqIYdb0Yuo6qaQhEBvE1q0IYBv1xyW4Dq4fkGXKCkCBWPiWKEmk1TbUdcxz5aNLduOTeaUbJmCxhbD1p6EyIwjCkYlbw2wRw0oX5qB4VWZTIaO1kOatGTstMZNovJkqUYyK3BQSKSoFnDz2PbMioidHx7cPIz8D5BIG0muor1Dz62RK6ExFdiaYmrh8nUyu0O3zGo/Ma5/QsiqTQsFuYjsnpuVP59as/eUJ9z9brde677z7OPPNMzjzzzNjjfd+nXC53U8cAZmZmqNVqXHrppaRS0WQpDEP+5E/+hM9+9rPceeedvPa1r30pb2OKKU4YTAnLCQ7P8zjzzDP5b//tv/GRj3zkWF/OCYNvfOMbfOADH+Bzn/scv/Irv9L99zAMee6559i1axe7d+/mn//5n3n1q1/N3Nwcc3NznH766SfUj+qJgk5vwTnnnLOhhtWNgOM7PLjyIPsX9/PA8gPY6yJdJ1kgQjRZ8XyPpJqMFsttwrEek3pWJEFiU2oTju9QsSt90cvroUgKmqSNNaUnlSRJJYkkyjyz8gzl8grpTIZ0KhXFJdsWpmlhWhER2ZSexVcCFFUZmLwAXd+E3e4daY0JFYDORKnQTRgbvAeVrJYhCMMoWGAC034UNzy6DFMSJLJaFk3SKLdWh0ZO9yKtpmh55shY5aPHpVEkGVGUqVnVkedNq2labmts5w+AjsFTh54inU6RTqfbXh2dlmv1vaeTJqXFxT9HMsI8hmyw3FwZm2AnizKSKGLHpNzl9NzQvp2MluZjr/l5Ts+fFnvdxws6ZOWMM854UfHCQRBQqVRYXl7m3//7f8+jjz7Ka1/7Wq677jocx+H3f//3uf3223njG0+sidMUU7yUmBKWExz/+q//ylVXXcWf/dmf8cUvfpEjR46wbds2Pv/5z3PJJZcc68s7LvEnf/In/Pqv/zp/+Zd/yXve856Rx3XMlJ3Jyz/8wz9w+eWXMz8/z9zcHGefffaUvGwAjhw5woMPPnhCdN54gcej5UfZt7iPA8sH0GV9IrKS1bI03WafJ0ESo8Vyb9fLsOjiUYimG2uEYdgXvVxzan0LTEVU0BV9ZMdGL2aSMzy3+hyNtSanlk5BTWrU1vk+QkALNcr1Mo1WgyAIMHQdwzDQdL0v6lgWFQzFIAiCyLTuWyP9PZPGA5cSM1SsNTJaFhGBij3YnwIRYWo6zVgykFASuL6HF7hktRyKKFOz6wPENDLti5gxDe+yKKPKKq2O7EmArBbFADftJi2v1T5OQZWUWG9U6EUltnpSJ50e9HcklARJJUXg+9TsejeiehSyWpaaM9oQ38FRIh7FPSuiGiXjrbv/YrJIOWYyJQoiuqIffU16cPXZb+InL7l57OOPJzQaDe69915OP/10zj777B/7fEEQcO+997Jz50527tzJ4uIi27dv52d/9meZm5s77jZwppjiWGFKWE5w/M3f/A3vf//7Of300/kf/+N/cOaZZ/KHf/iH3HXXXTz22GPTHpF1qFQqvP71r+dP//RPecMb3jDx48IwZHl5uUte7r77bi688MIueTn//POn5OVF4LnnnuPxxx/nsssuo1QqHevLeUEIw5An1p5g3+I+FpYWRhq6c3qOhtMYm/7UISqGbET9KTE7/WNlYEK0KFUlFdMxEURhIrIym5jlR6s/YnV1lXwu3+0u0mSNjJrBDVyqVpWUmsLybFzfIQTcdlyyZZp4no+ua+iGQdJIkjWyXXlXB7pskNZSuL4X+UkImUnOsjxBwljeKLS9Fkd9PIIgHiVr7WLOhJzAC73Y11EWFDRZo+munzwJZLQ0mqjTcpqYnklaS8emaUXXmGfNHO2rSakpDNlAEiSONI+MPZdtO9gVCzEpdiVDwyAgkNbS2F5UTukHPlVr0O80qb/FUBK47cnYenQCElqOhSoprI651w5GSSZzRpbfevOn0ZUTI5Wx2Wxy7733dmWrG4UwDPna177Gxz/+cf7kT/6ESqXCnj17+N73vscll1zC/Pw88/PzXHbZZdPfmSlesZgSluMUn/nMZ/j93//9scc8/PDD7N27lw984AN85Stf4Rd+4ReAqJ331FNP5Xd/93f52Mc+9nJc7gkF3/d/rOSpMAxZW1vj1ltvZdeuXXz729/mnHPO4aabbuLmm2/moosuGmj/nqIfYRjy1FNP8dxzz7Ft2zZyudyxvqQfC2EY8qPqj1hYWmDf4r7u1CVv5KlZtdhdflEUyWrZaKErQE7Ltb0gUblkLyb1rMiSTEJOEBIORC+vx0xihmdWnqFSqVAoFDD04QWdWT2LKqptk/mgpM11PSwr6nrRAg1Hdrq+l2F/c6qkMpOYxfRaVKzK2C6QtJbBdFsxsb8CJaOIIqlUrMrInpzoyKiJfphMaT02Jzfjhz62a/f5PtZjYtN+osRya+VoGpzvUDWrfQEDtm3jVT1IQjKZHH++Ic8rizI5LUcIVMwqfuBN5m9BIKPHJ6rJokJSSaJISkQ+zeHHZ7Q0dbsxNE3tF17zES7dfGJE9XbIyimnnLLhHrtdu3bxH/7Df+Bv//Zvue6667r/vrq6yu23386ePXu48847KZVK/PVf/zWvf/3rN+y5p5jiRMGUsBynWF5eplweP2Y/++yz+cEPfsBb3/pW/uEf/qFP73rVVVfx9re/nd/7vd97qS/1FY9qtco3v/lNdu3axd/93d9x6qmnMjc3x/z8PJdffvmUvKxDGIY88sgjLC8vs2PHjrE7xycqDtYP8sDSA+xb2sfB2sGxx0qCRFpLj1w4p7U0uqTTclvosv6CyMp6+VVSjQoLoyb7aOE9k5zh6aWnqVarFItFdG34bndCTeAHflcq1UmxEhCo2jW8dpBAx4uy1FjCMs0oLtlxUFQVQzcwDB1ZlgEoGiXKZhkIkXvikqt2pY+YJJUkbuDGT0xEmYSSpNZOZktrmbbXw6SxboryYk37hhyRjM4ivbMQH2XGX4+CkWfVWhuw1XSKP/3AZ7G6iFmxkFMyyWQi5nyF9pRj9GdCFEQ2p7bgeA41qz42zW3SPp315Edt98kEgU/FqhEEAaIgkFASA504ADu2buPfX/mh2Oc5HtBqtbj33nvZvHkz55133oaSlW984xt85CMf4a//+q+Zm5sbeZxlWXznO9/hNa95zTR6f4pXJKaE5QRHrVZjdnaWL3/5y13Tveu6nHrqqXz2s5/tTl2meHlQr9e5/fbb2bVrF3fccQelUqk7ebnyyitf8eQlCAIOHDhAvV5nx44dGMbwnfyTCUvNpe7k5bnac31kQxZlUmpqol3+olHE9m0M2egjHOsxiqyshyEbFBIFDi0f4vny85RKJTRVG36sYhCG4ciUr66HRpCREAcM8X4QdMmLbdvIssLm7GZcyUFS5IHkYrFthhcFEce38QJv7LQEOh0qedZG+H8SSpKkmsT2bDRRY9mMn4TEmfZVSSWjZpEEkVVzLTb9LakkcAJnbOqWZVu01lpsnd1CKplizY6mI8Ogy0a7qHE8kUsqSez26wgCOS2LInU8KUdf17SWoeHUYwlxHDmTRZmMliUhGxxpLA0EQiTVJL/1lk+R1tJjn+d4gGma3HvvvczOzvKqV71qQ8nKHXfcwYc+9CH+8i//kp/8yZ/csPNOMcXJiClhOQnwyU9+kp07d/Jnf/ZnnHHGGXz+85/nm9/8Jo888gj5fP5YX94rFq1WizvvvJPdu3fzrW99i3Q6zU033cT8/Dyvfe1rX9JCxOMRnuexsLCA53ls374dVR0dzXqyYs1aY2FxgYWlBZ6tPoshG7GlghAtEFfN/smKoRjR5KEd+QuTkxWIdsifPPIkzWaTU2ZPoZgu4oeD3gdd0REQJuuiScywbC6TVSMPTcNpDDwuCAK0QGOxtoRpmUjtuGTdMFBVtY+8KKKKJmtIgoQqKUO7Y47ez+Sm/YbTIK2mokZ2qzpUrpTWMrQmMO13Si79wCerZxAQWTMrA0lisiSjSdrRWOkhsCyLtdU1Tpk9hUCO3oOOXFASjnp0IJqapNRU7HstCiJJNTmS4KbVaILneC5u4MaGAGiyThAGsX06HfIDQjfuumY1sD2bf3/Fv2PHKdvHPv54QIeszMzMbLhP8Tvf+Q7vf//7+dM//VPe//73b9h5p5jiZMWUsJwEcF2X//gf/yN/9Vd/hWmaXHXVVfzRH/0RF198YmiDXwmwLIu///u/Z/fu3dx6661omsaNN97I/Pw8b3jDG1AU5Vhf4ksKx3G4//77kWWZyy+/vCsJeiWj4TTYv7SffYv7eHz18ZHejFKiLV0a802tyRo5LYcoiBxpHBnbvt455xOHnsC0TEqlEop89PPX2/VieiYh4QsuzuxFWktHHho38tBk9RzNdghBGIZYlo1pRaZ9QRDQDQPDMEjqCZJqqivvihA1x2uyRstpdrtjJiUreT1Pxa72mfY7cclhSNTLgo8hG/ihP4FpX8ZQDOpOPxkQBZGslkMSRGp2HcdzYs34pmWyurrKOVvOwRJGJJH1JI5JxJv24YWVVzbdFimlXXg6wsOS1/OxZZ2iIGEo+hByJnDVKVfywe0fiL2eYw3Lsrj33nspFotccMEFG0pWvv/97/Pe976XP/7jP+ZDH/rQ1Eg/xRQTYEpYppjiZYbjONx9993s2rWLPXv2EIYh119/PTfffDNXX331STd5ME2TvXv3kk6nueSSS17xsrhhMF2TA8sHWFha4OGVh7sL5UnICvRHFytS5AXxA5+qUyUI+o3spUSJxw8+jm3blGZKyNJw8qjJGqqkIgsyoih2o5eHYXKz+QyCIGC6FvV1k4EwBNuxI8+LaWOIBp7qY+gGuq4NXdQl1RQFPU/VqlJzxk8aMlqGVoxpXxJlCnoBSZBYMctD45KPXnDbP2LFRVALbE1twfVdGk5zKPnrkJXztp5Li3hy2CmbTGtR4pjpWgOkCaBkFCcqrxxmxlcljYyabgcsRFO3UnKGlQne51EEMqWm+c2rj38pWIesFAoFLrzwwg0lFD/4wQ94z3vewx/+4R/y8z//81OyMsUUE2JKWKaY4hjC8zz+4R/+ga9//evs2bMH0zS5/vrrmZ+f561vfSu6fmLEfY5Co9Fg7969zMzMbPgu5ckKx3d4aOUhHi0/yn1H7oudbqhSJJsaJvmRRZmsnoUQKnaFvJbn0YOP4rkepVJppCxRlVUUUenbIRcEgayWRRblvq6XSU3aKTWF7dtdn4cu66TVNI7vUuuRZUWm/TyHq0e6vhffD9B1HcPQ0XW9S3p7TfuGkiClJHF8l6pd6XvuhJLAC/yxZnOIJiMZLUPFqrTjkrNIokzdrmOve+zEk4t15v6jscCtiMCYLVbX1jhr85m4khfrH4nKK1v464hoJ3HM9hxqVpWUlsLyrJhUteh9MV1zrPRNFmVKxgxe4LXlbqPPmdPzbU/W4H185IqfY9uWy8Zez7GGbdvce++95HI5Lrroog39zvqXf/kX5ufn+dznPscv/uIvTr8PGZ7a2emWmmKKXkwJyxRTHCfwfZ9/+qd/YufOnezZs4dKpcI111zD/Pw873jHO7q9GCcKKpUK999/f7dgbfoD9MLRKapcWFrggaUHBmKJVVlFFdWxDfYdlIwShxYPEfgByXwSn+EL1GFkZQACZNQMGS1DuVWONcSvTxhbD0VSyKrRVEgW5T4iEAJeu+vFNC08z0XTNDbntuCIDqI4+LmKEqvS+GEQxUILxHaPwNHJxbAbzuoZVFGj6TZJKsmJyEpOy1FzaiPjmkMHWmtNSqUSnuTHlj4qkoIsyrEkNqEYpLVMRN7GxEVLgoShGLGfH1mQ2301zR65W9tT01dSqiKJ4tBwhtec+hr+3bafGfs8xxq2bXPfffeRyWS4+OKLN/Q7a+/evdx444381//6X/nEJz4x/T4k2rDryIP/4A/+oPub9xM/8RNT0jLFAKaEZYopjkMEQcC//uu/dsnLkSNHeOc738n8/Dzvete7SKePb0nFysoK+/fv57zzzuO000471pdzUiAIA55ce5J9i/vYv7Qf0zORRXk8sWijqBd55PlHIIRisYgkRSlciqhQs2vd6cFEZKWNXhlYx6fS9JoDj41LGOtFKVGiYlWieOOQSIa2bjff8zwUX2W5toTt2Kiq2vW9yOt2amVRIaWmkEWJIAypDTnfsPsZh4JRwPXdSIrlDZdiASTkBG7gjUzwarVarK1VmC3NkEvl8QKXjJrBC7x2OWb/8S+kN6aQKLDaiqRqsiR346IrVn/i2CS9LOOPiwz1qqjSdFroisHqkPSwglHgP179KXT5+J0YO47DfffdRyqV4pJLLtnQxfLCwgLXX389n/70p/nUpz41XYgD5XKZYrEIwM/+7M9imiZvfOMb+V//63/xpS99ibe97W3H+AqnON4wJSxTTHGcIwgC7r//fnbt2sXu3bv50Y9+xNvf/nbm5+e57rrryGQyx9UP4OHDh3nooYe4+OKL2bx587G+nJMSYRjybO1Z9i3uY2FpYexCu6gXefjZhxFEgVKxNPhZESCrZtElHTd0WR0RC9yLcXKopJrEkI2eGF1etGm/0/UiIlG1qriB01cg6fs+pmVFvhfbRlaUdlGlgaZGU5beBb4kSGT0KHGrc764++lFRsvSdBp98qlIitYuf7Si8kdFVFAklZY7nPg1m00qlSqlYpHNuS2srfPBKO1OmjAMoyCAMOiWTb6Y17GD3sQxURBfVN/K6ONmsDwzit127a5EURREPvG6X+Hswlmx5zhW6JCVZDK54T67Bx98kGuvvZZPfOIT/Kf/9J+Oq+/qY4WvfvWr3QTNr3/96/zZn/0Zd9xxBwB//dd/zV/+5V9y2223IUnS9PWaoospYZliihMIYRhy4MABdu7cye7du3nsscd461vfytzcHNdffz2FQuGYfsE/++yzPPHEE1x++eXd3bMpXnocrB/sxiUfqh/q/ntBK/Dwcw8jSzKFYgFhoPEkgiZpyFI0remmenmtoVKhSScRmqxhyAayKHenBqMwCWEQBIHZxGzbj1PFXjexCYIA07KwTBPbcsjpWVzZwzB0lHVxydH5osV7UklQNldHxiV3EPlgvLHJYZqsRXIpRI40F4emtTUbTSrViKycWjg19r4lQWJzchO270Yka0zXS87IRTHNMT/rGS1N022RVtMokhL1sQy5/5SSwvTG+1tGHWfICVJqilef8mquPe+dYx9/LOG6Lvfddx+GYXDppZduKFl55JFHuPbaa/noRz/KZz/72eniu41f+7Vf4/Dhw/yf//N/WF1dZXFxkQsvvBDHcXjuuef4+Z//eW6//fZXRE/XFJNjSlimmOIERRiGPProo+zatYtdu3Zx4MAB3vSmNzE/P8+NN97IzMzMy/YDGYYhTz75JM8//zzbt28nm82+LM87xSA6RZWPLj3K9x/9PoqikC/kR5MVWRspLUuqSRJKAsuLiionnUT0EqAOVFklo0ZN7lX7aNfLbGKWpVb8Tn9SSeKFXuSDaXtoOr0m67tDCnqBg2sHMU0Ty7IQRBFD1zEMA1XV6PxZFIwCa1aFMAyjuGRJo+k2Bs6ntrtgXogPphOXHIQhVbOKj0+j0aBarVEqFTk1H09WALJalppdJySIZGFaDkWUqdn1Pk+QoRh4gRdbXjnKBxMRVZ2WZ9JwGn2+lXEY54M5K38Wn3ztxxGF4zMZ0HVd9u7di6ZpXHbZZRtKVh5//HGuvfZaPvjBD/J//9//9zQdsQdf/OIX+d73vseuXbuiDiPf74u6v+6667j99tvxfZ9vfetbXHfddSd99P8U8ZgSlimmOAnQIQwd2djevXt53etex/z8PDfddBNbtmx5ychLGIY8/PDDlMtlduzYQTKZfEmeZ4rJ0Ww22bt3L2pGpZVrsX9pP0+uPTmw894pZYwrCwTYnNqMH0TdJOPKLlVZRRGUsQvdTteLJmssNhZjd/AN2SBktA8mpUbxvrZno0lav2k/BNu2ME0LyzIJAUPX2ZTdhCd6BAwa0lNqGkPWsXyLlmuSUBIDMczDMJOYZXkI+ZIECcERqKxVSeQTlNIl1qy12L6c8VMdgYyaRpN1LNskFIg1zwsI5Iwsa2Zl7HFJNUlOz9FwGlTNSOY2CqMkY4aS4DNv/A0KRmHscx0reJ7H3r17URSFyy+/fEMJxdNPP80111zDu9/9bv6f/+f/mZIVYNeuXZx55pmcddZZ3HXXXXzhC1/ghz/8YZ/sy/MimefNN9/MF77wBT796U9z/vnn84UvfOEYX/0UxwOmhGWKKU4yhGHIs88+y65du7jlllv44Q9/yKtf/Wrm5uaYm5vjtNNO2zDy4vs+Bw4coNlssmPHjhM+hvlkQL1eZ+/evWzZsoXzzjuv+17XnTr7l/azsLjAY6uPoYgKoiBORFbWT1ZGTUtUSUWRJjTtt88pCRIZLTOy6+WFkKqZZNRin1RSuP5g+WEIOLaD6IlUGms4vtuOSzaiuOR1fxeiIFI0iiAI2J69rsRy+P0MQ73eoF6vUSqVKKVnkEW5m7K1Pi65A1lQ0GQ1dsLR6YOxfYeEYmC7NrURrfYT9+X0HKfJKhktgxf4VMxKH8kanaoGP7/jI1y++fiMMO6QlU6R7ah47xeDZ599lmuuuYZrr72WL3/5y1OyAhw8eJC5uTmefvpp0uk0p5xyCq7rctttt5FMJgcSMG+++WYee+wx5ubm+NznPneMrnqK4w1TwjLFFCcxwjDk0KFD7N69m927d/OP//iPbNu2jfn5eebm5jjrrLNeNHnxPI99+/YRBAHbtm076QovT0RUq9VulPS499Z0TR5aeYj7F+/vK6ochrhFbmdaIiDgBA61iSYRwxf3giCQ03JIotQtgpw0tWyYtEyTNTJqBtf3qFrRYjupJHEDL+qEacclW6aJ5/louhYVVRo6kihSMIqs9hQvarJGWk3jBz4Vu9KdWPX2waxHvV6n3mhQKpXIJDKEYdjjvxF6pGhHpW0vJBFs2GtpyFEni+t7VM2o46aUKLIyJMFrPbJ6lppdG+qDUdqJY2EY4gQeLac5dDp29Zk/wU9e9J7Y5zoW8H2fvXv3Iooi27Zt21CycujQIa655hre/OY389WvfnVKVtroRBTv3buXp59+mv/3//1/ufPOO7nyyivJZrPMz89z6qmnMjc3B8BHPvIRTNPkr//6r4HhXS1TvPIwJSxTTPEKQRiGLC0tsWfPHnbt2sU999zDRRddxNzcHPPz87zqVa+amLzYts3999+PqqobvkM5xYvD6uoqCwsLnH322ZxxxhkTP65TVLmwuMCBlQNRb0kbk3pWVElFlVRaboucnkMQhKHTEmhLiMyVYWv7gXNmtCgBb5Qp/IVcpyIpFPQCYRiyYq4QrCtedD2vW1Tpui6bUpuwJAvDMIZ+vjseFVmQKZvloR0qtXqdRqPBTKmEoSUiT8gY2VZKTZOQDSRB5nDz8Nj7gQ5RGp/gpUoqJaOI40UJcMGYn3xN1oAQ2xtNYAEkUSKhGCiiiiiIVK1aN3Ht9Ozp/OrrPoEsymPPcSzg+z73338/ANu3b9/Q760jR45w7bXXctVVV/Hnf/7n0+/EMbj33nv55Cc/yfve9z6ee+45/uIv/oLXvva1fP3rX0fTNJaXl5mZmQGmZGWKo5gSlimmeAUiDENWV1e59dZb2bVrF9/5znc499xzuemmm7j55pu58MILR+4OPvHEEzz33HOUSiUuvvji6S7icYBO783555/PKaec8qLP0ymq3Le4j0ONQzxbfTb2MR2yst4/IQgCOb2nYNB3JiYrsiRjyEY3Ghcgo2XQJX0gvWzS2F1VVpEFmZbbQhZlMloWIYSqXcNbRzbyap7nVp/DNC0cx0ZRVQxdRzcMlB5zcFpLY7oWQRhERI2IqLmBS71Wo9FsMlMqtSOWMxNOTCIfjKEk2s31NjWrNuAjyWpZ6k59ZClkB5qkISBg+RayIJPVswgI7cb6o9MRURBIa2mqVvyErLfnBaL3OqtlSalJfn7Hz1NMHH++Fd/3uxPhHTt2bOgieHl5meuuu47LLruMv/qrv+ozkE8xiH/6p3/i3e9+NwcOHKBUKrG0tEQulxuY0k/LI6foxZSwTDHFKxxhGFKtVvnmN7/Jrl27uOuuu7rj+ZtvvrkvPedf/uVfeM973sOv/uqv8mu/9mvTH5PjAIuLixw4cGDDe2/WF1UOW2yPIisDEGBraiuu71J3631TnPWQJZmEnBgrLUsqUXqZLMgcbh2OJUCKqKAreh8B6kAURLJ6FkmQqVk1snqW5Z5+Ej8IsEwL0zKxLQtZVtANnVK6iCCLOOs8KAIigRlgNlskC0lCMRyQlo1CySixMkRaFknRjnqGdEkfW0p59N4kUmpy6Gt5tLFepGbXyaiZiYjfTLLEcnPwOEEQ+NgVv8DFsxfFnuPlhu/7LCws4Ps+27dv31BCUS6Xuf766znvvPP4m7/5m2ma1QRYXl7m9a9/Pd/97nf7ioWDIJhugE0xElPCMsUUU/ShXq9z2223sWvXLu68805KpRJzc3Ns2bKFz372s3zkIx/h937v96Y/LMcBDh06xCOPPMKll17alVC8FAjDkB9Vf8TC0gL7Fvex0lqJ0sAm9Jesn6x0fBstt9VnKpdEiZSSGptC1kHRKLJqraJLOiktheMNTy+TRImkMnzRvh4ziRncwEURFepOA2td9G8QhliWhW/72JaNh4tuGO245Gh3uFat0mqZlGZKKLLC1vQW3MCj6QzGJfcip+ep2TWCmMS0hJIkraVxfZeaVcMLB2V3HZSMYpsAjcdsYhbbt1FFlYbTHFn0mTOyVK3h/pZrz7uG6867Nva5Xm4EQcDCwgKu67Jjx44NJSuVSoUbbriBU089lZ07dx53Pr5nnnmGz372s3z3u9/lyJEjbN26lQ9+8IP81m/91jG9Vs/zOPPMM9m5cyevfe1rj9l1THFiYTq3nOIVBdu2ueqqq1hYWOD+++9n27Ztx/qSjjuk02l++qd/mp/+6Z+m2Wxy55138sUvfpH/+T//J9lsFt/3+eEPf8hVV1011RYfQzz33HM8/vjjbNu2jULhpZXgCILAmbkzOTN3JnOvmuNg/SAHlg9w3+H7YgnLMBlYL3noRBI7ngMCL4ishGGI6Zldf8v69DIBgbSankiKVTSKLJvLfdeZ0dvEyomIlSgIZJIZ9KxO3a5h2TaWaVIulxEAUZTwA5+Z0gyKLDObnOkr8kyraXRZx2x3nfS+Bk2nEUtWREFElRQWG0eAKC45r+eRRCkqleyRts0mZliawH+U0/Mst5b70r/Sehpd0jFdk0b7/TUUg6bTGkpWLpq5kGvPvSb2uV5udMiK4zgbTlZqtRrz8/PMzs7yt3/7t8cdWYGouDIIAr7yla9w7rnncuDAAT760Y/SbDaPWVRwJ8XylFNO4fzzzz8m1zDFiYnphGWKVxQ+8YlP8Pjjj3PHHXdMCcuE+Iu/+At++Zd/mT/90z8lmUyye/duvvGNb6DrOjfeeCPz8/O84Q1vmOq2X0Y8/fTTPPPMM2zfvp1cLndMr6VTVLlvcd+A52Viz4ook1STOL5DUon+d9REpKAXWLPXYtvcNVkjr+VxgijeeFzXyyTnTChJUkoSQRC7hKGDjifMsm1EQSAMQ7ZktmBJNrquDZVOJpQESTWFF7iYjonlj5bJdTDOryMIIlktiyJGkqRJwhKSchIncIYGBhy9zvZ9I7DYGOyYKSWK/MYbfp2Ekhjy6GOHIAh44IEHME2TK664YkOlWo1Gg5tvvhld1/nWt751QjWyf/7zn+d//a//xVNPPXVMr8M0TQzDmJrqp5gY0xXGFK8Y3HHHHdx1113s2rWLO+6441hfzgmBz3/+8/zu7/4u3/zmN3nLW94CwE033YTjONx9993s3LmTD3/4wwBcf/313HzzzfzET/zEcbnbeDIgDEOeeOIJDh06xJVXXkk6nT7Wl8RscpZ3nPUO3nHWO1iz1lhYjMhLza4NTCyGQRZlUmqqOwXpyJE6EcJe4FG1omjevJ7vixMeBUEQSCpJjjSPTiIKRmFoellOz1G1q7HntDwTTVZZa61hKFFssOO5VKwKlUo1ShbbtAlJkkiLKQ6uHcJstFhdDdpdL3rU9dKWUrbcFq7vocoqCBEZ8QK/G7+8HqNKKTsIw4CKtUZWy9Fw6kdld06Lpjc4BZMFhVBgLFkBaDlNdFln1SyjKe2Y6MClalVRJZVfuOKjxyVZOXDgAK1Wa8PJSqvV4r3vfS+yLHPrrbeeUGQFoujzl3oiOwk6r9uUrEwxKaYTlileEVhcXOSKK65gz549lEolzjrrrOmEZQzCMORTn/oUf/mXf8mdd97Jjh07Rh7reR7f//73+frXv86tt96KZVlcf/31zM/P85a3vGVaJrlBCMOQRx99lKWlJa644gqSyeSxvqSxWF9U2ZtI1cF6sjIKiqQwY8zg+A6r1urYZCwBgbyRZ9VcHf7f24lWsigTBiFVp4oXjPaBjDtnSEiz2kRyZWY2z9DymmS0bNeLEgKe62FaUVyy57pomoZhGCSNJFkjOyCBU9pxzmEYULGrBIE/cbx0UkniBC7uul6dpJoioSSwXIu6U39BPS+jpGWqpPKzl32YSzddGnuOlxMdstJsNrniiis2dPPENE3e9773YZomd9xxB5lMZsPO/XLgiSee4IorruALX/gCH/3oR4/15UwxxQvClLBMcdIjDEOuu+463vCGN/Cf/tN/4plnnpkSlhjcddddfOxjH+Ouu+7ivPPOm/hxvu/zgx/8gJ07d7Jnzx6q1SrXXnst8/PzvP3tbx9oNJ5iMgRBwEMPPUSlUuGKK6444XZ1W26LA8sHWFhc4OHyw7i+OzFZgWgKUrfr+KGPLEbRvISR36WXbAgIFBIFyhMUJGa0DKZnklAS3fCAUV0vw6RYISFra2s4jsNMaQZJ6vhJZMIwoGoNEiHP8zBNC8uyUAMVR7S7pn15yE6zLMpsSm7C9m0qVnUgfrkXqqQhiRLmGGM/gKEkKOoF6k6DqlUdiEvuRdEoUjZXGTYmu/aca7juvOvGPtfLjTAMefDBB6nValx55ZUbSlZs2+ZnfuZnKJfL3HXXXcdUivmZz3yG3//93x97zMMPP8wFF1zQ/f8HDx7k6quv5v/f3p2HR1me+wP/zpaZyR6yIQQISwDZAknYrHoCxIZAyExc+FUtR6EX9kAVqadWqp5TbXuO1uW0Vetxq4pURclMwo4SlnjQakkCYQtKkDUxmUzIntnf5/dHyEAgJAHeMJPk+7mu/tHJ8OSebL7feZ/nvlNTU/HOO+/0dIlEsmNgoV6ru3+0P//8c3z66acoKCiASqViYOmmxsbG69pyJEkSvvnmG294qaqqQnp6OgwGA+bOnYvg4GAZq+272vbit71jrNVqfV3SdXF6nDhsPYzvrN9hb+VeONyOTp8frgtHo7Oxwzs0KoUKYbqw88ML6xGmC+tWa96QgBDYPXa4PK7LHtdpdN5D9kDHQykFBGrP1cLlciEqOqq1u1lAMBweh3fNttoUUJ7fhnbhc0UFRqGq0QKb3Qa7zQaHwwG1RgO9Xg+9Tg+1Rg0F2ncOUyiUCNeGQ6VUocHZAOdFXzeVQoWggGA0dKNhwcWvJ0DVOh+mrUnBxXeuQrShV5xkPzl2MpZMXuxXbc2FEN5Qn5KSIuvvidPpxKJFi1BeXo78/Hyfb6mqrq5GTU3noXzEiBHewFZRUYHU1FTMmDED77//Pjs8Uq/EwEK9Vnf/aC9cuBAbN25s9x/XtoN+999/P1avXt3TpfZ7kiShuLgYJpMJZrMZZ86cQVpaGgwGA+bNm4fQ0FC/uvjxF23zI1wuF6ZMmdLnzgZdPKjyYPXByzqOdRZWLtV6BsQNtVKNRkcjHJ6Og1BwQDCckrO1K1knggKCEKGNQL2jHo3OC/NbBFoP2LvdbkRFRZ2f+h4Ij/BcMXwpFAqEa8OhVqqhVChR1VTV7uOSJMFmt8N+/u6LSq1CVHAklFoVFGpFBzdBWrd0BZy/M6TT6Ls35yUwCtaWy+e8AIBaqUGYNhSAAna3HW7J3eHXMC4kDr+csRIBKv/5WRRCoLS0FLW1tUhOTpZ1G6rL5cKSJUtw7Ngx7Ny5E1FRUbKtfSOUl5dj1qxZSE5Oxt///neeGaFei4GF+rzTp0+joeFCx6GKigqkp6cjJycH06dPR1xcnA+r63+EEDh06BDWrVsHs9mMsrIyzJ49G1lZWcjMzERERATDC1q3D+3btw8AZB92548kIaGstgwlVSUosZRAAcVVhZV2d1YUQGhA66HzJleT9yB/YEAgPNKVg8XFLr4TodfoEaxpvYNyouIE3J4LYUWn1kGhUFxxdslla9qqL9TmbLrs3wkhAJcCzbZmNDTXQ6FQQq/XnZ/1osWlvxpRgdFweBzQqbSXtUu+WJi2Nfx11TpZpVQjSBMElUIFlUKFeseFdslh2jD8aua/I1wX3uVrvVGEEDh69ChqamqQkpIia1hxu9146KGHcODAAezatQuxsbGyrX0jlJeXIzU1FcOGDcPq1avbhRU5h8wS3QgMLNTvcEuY/2i72MjJyUFubi4OHTqE22+/HUajEQsWLEBUVFS/DC9OpxP79u2DRqNBYmJiv3tXtG1Q5f6q/dhv2d/pmZTOWv22CQ4I9m7ZqrXVdvn5o4OiUd18+TawmpoaqCQVRg4ZCYHWGTAqpapbwzOvdHA+JCAEerUezc5mNLuaEaDSQq1Uo8XVDCEAh8N+/tyLDQKAXqeDTq+HTqtFbFAsLJd0DgsKCIJeHQiHx4HG862hW1+787LD+JdSQIFwfQRqL2ou0NouORR6dSB+OvF+DA0b2uVrvVHaGlFUV1cjJSVF1rNdHo8Hv/jFL/D111+joKAAN910k2xr3yjvv/8+Fi9e3OHHeOlHvQ0DC/U7DCz+SQiB48ePe8NLcXExbrnlFhiNRmRlZWHgwIH9Irw4HA4UFxcjMDAQEydO5H5zAGcbzqLEUoKSqhL80PSD9/Huds/Sq1svZG1uG4ICglo7ZrntaHQ0XvbcDsOKEKg5VwPJIyEqKgpKpRJqlRohmhColCoIIVDrqIUkddy9LDIwEjW2mi5bPIdqQxGkCUKTs9kbNrw1AHA6nN6OY6HKENjVDuj1+tZ2yR38bujUeoRpwyBBgrW5usN2ye1e+xW+ngqFAksm/wyTYxM7fwE3kBAC3333HSwWi+xhRZIkPProoygoKMCuXbswZMgQ2dYmomvDwEJEfkcIgVOnTsFsNsNsNuPrr7/G9OnTYTAYYDAYEBcX1yfDi81mQ1FREcLDwzFu3DiGlQ5UNVehxFKCE7UncKj6UJfP12l0UKDjLVt6tR7B2mA43U7UO+o77gYmWu+sSEJCVGRrWFEpVQjSBLUbbqlSqhCmDbts1kukPhLn7Oe6fEdbqVQiNCDU2zVNp9YhJCAELo/7stksA/SRqGqoRIut9dC+2+2GVqeDXqeHTq+D6vzPjUqpRqBaj0ZnIwJUAQjVhkESHtTZ6y5rDd3ZnBfDGCPShs/ptP4bSQiBY8eOobKyEikpKbJ2H5QkCY8//ji2bt2K3bt3Iz4+Xra1iejaMbAQkV8TQqCiogJmsxkmkwlffvklpkyZ4g0vw4cP7xPhpbm5GcXFxYiKisLYsWP7xGvqaeds57x3Xr6v+/6yUKBT66BUKNHSRatfAIgNioVHeOCRPN7hlEIIWGusgAAioyKhVCihUqgQog3ptB2zQqFAuC4cOpUOtfZa2N2dT7FXKBSI0F15doxGpUFYQJg3ZNTZ69udRXG53bDbWu+8uFwuBARoERgYiNiwWDS5L7+LpFaqEaYNByBQ56hHhC78iofxbx16G/7fuIWd1n8jXTo8Vc55RJIk4cknn0Rubi527dqFUaNGybY2EV0fBhYi6jWEEKiqqkJeXh5MJhMKCgowfvx4GAwGGI1GJCQk9MoL/cbGRhQXF2PQoEEYNWpUr3wNvnbpoEq1Ug2VQtWtsHLpli2NUoOQgBD88MMPaPI0ISIyAkqFEkqlEmHasG6dgwnThqHJ1QSP8CBcGw6NUoNGVyPsrsvDS5Q+ClZb1+2YQ7WhcHqcCNIEAQKoc9TDc8msF4/HA5vNhgBPAKqbqqE53y5Zp9dD00HjhgH6AVBAAYVCiQZHA5wXdQYbHz0eDyU9BKXCf+70lZWVoby8XPawIoTAM888gw8//BC7du3CmDFjZFubiK4fAwsR9UpCtLaXbQsvO3bswOjRo5GVlYXs7GzcfPPNveLCv76+HsXFxYiPj8fw4cN9XU6f0OJqwZHqI9hXtc87qPJKogKjUGOraXd3RhISaqw1gAKIjY5FuC4cSoWydXtYN9oHh2hDYHPZLhscCbSGDq1a65310p2mAUDrFHuXcLVrx6xUKM/XpkK9vd57qL7tLIpHkmC32WGz2+Cw26FWq72DKjUaDUICguFwO7xdwNoO2Le1OF6WvAxatf/M/Tl+/DjOnDmDlJQUWec4CSHw3HPP4e2338bOnTsxfvx42dYmInkwsBBRryeEQH19PTZs2ACz2YzPPvsMQ4cOhcFgQHZ2tt8eXj937hz279+PUaNGYehQ/+m+1Jc43A4cqTmCkqoSHKo+1K6lcUfnSyRJgrXGCqVCicjISCgUCiigQIQ+AnX2OoRpw1qHNzoa4Oyg69aVhlJ25Kbgm+CSXHC4He1mvVxKp9EBAp1uLVMoFAjThiFYEwJrixV2d/szO5IQsNvtsNlssNvt0Kl1CNQHQhmgRIA2oN2sl8jASPz79H9HiPbaB8fK7cSJEzh16lSPhJWXX34Zr7zyCnbs2IHERP9pLEBEFzCwEFGf09DQgM2bN8NsNmPr1q2IiYnxbhtLTk72i/BSXV2NgwcPYuzYsRg0aJCvy+kX3JIbR2uOoqSqBKcbTuOHph8uDytWK5QqJSIHXAgrAwIHXNZauS0gaFQaNDoaYXfbuz2UEgBigmJgab5wyF2v0SNIEwSnx9nuMH+AKgAalebqWidfNIem7U7OxdQKDSSXhJpGK2x2OxQAdDo99HodBoRE4t9nPIaYoJguP9+NcvLkSZw8eRLJyckICZEvRAkh8Morr+DFF1/E9u3bkZycLNvaRCQvBhYi6tOam5uxbds2mEwmbN68GeHh4cjKyoLBYMD06dN9MuOksrIShw8fxoQJE3rdMLq+QhISjp07hhJLCQ5YDuBcyzlYrVaoVWoMiGw91wF0b84LFEC0Prr1zouzAS3Ozs/NdNQ6+WJatRYhASGQPBJccHXYfvlSkfpI1Ng7bp0cHBAMvVoPu9uOFmcLgrXBqLfXAwCEAJxOB2w2G9wODwyxWRg/eDxiYmJah2P6eAbQqVOn8P333yM5ORmhoaGyrSuEwBtvvIE//OEP2LZtG6ZPny7b2kQkPwYWIuo3bDYbtm/fDpPJhI0bN0Kn02HBggXIzs7GLbfcckOmyZeXl+Pbb7/FxIkTER0d3eOfj7rmcDiw6atNOOM6g1pdrbdbV3fPl+jVeggI75attoDQ0eT57q6pPj9xvsXdglBtKIQQqHPUdTjrJUIX4e1s1hmFQoEofRQABRweBxrOhxag9TzM0ikPYYg2DhaLBRaLBXa7HZGRkYiJiUF0dDQ0Gk2Xdcvp9OnTOH78OJKSkhAWFibbukIIvPvuu3j66aexefNm3HrrrbKtTUQ9g4GFiPolp9OJnTt3IicnB+vXr4dCoUBmZiays7Nx++2398jFWdsFWGJiIgYMGCD7+nT1HA4HioqKEBwcjAkTJkCpVOJsw1kcsR7B3h/2orKpstN/r1ProFB0POcFAAI1gQjSBMHhcSBAGQCr3drlAEmlQokw3eXdyNpmvSihRJ2zDm6PG2G6MDQ5m+CRPFdY7YJLw5JWrUVoQChcHjcWJGRi2uBp3o8JIdDc3OwNL01NTYiIiEBMTAxiYmKg1fbsYfwzZ86grKysR8LKmjVr8Pjjj2Pjxo1ITU2VbW0i6jkMLETU77ndbhQUFGDdunVYv349nE4n5s+fD6PRiFmzZl33xZkQwntoWO4LMLp2bWElJCQE48eP7/BsU1VzFfZX7ccBywGcrj/d7mNatbb7rZP1kWhxtSA4IBguyYV6e32Hk+e7msnSRqlQIiYoBkII1NprO2wAcLHOtqEZxxgxJ77zwZA2m80bXurr6xEaGuoNL3IObgSAs2fP4rvvvkNSUhLCw8NlW1cIgbVr1+LRRx9FXl4e0tLSZFubiHoWAwsR0UU8Hg/27NkDk8mE3NxcNDY2IiMjA0ajEWlpadDr9Ve13sWD7pKSkmQ9NEzXzm63o6ioCGFhYRg/fny3WmDX2GpwwHIA+6v2o6KpAiqFqluH4QfoB6DWXttuy5ZGpUGYNgySJLVu9RLSFQ/4d6Rdm2MFOp31EhMYA8sVptinDU+DYbShy893MYfDgerqalgsFpw7dw5BQUGIiYlBbGwsgoKCrqudeNuWySlTpiAiIuKa1+mIyWTCsmXL8Omnn2LevHmyrk1EPYuBhYjoCiRJwtdff+0NL9XV1UhPT4fBYEB6enqX7VWFEDh69CisViuSkpJkHXRH185ms6GoqAgREREYN27cNV1gNzgavOHl2Llj3in0l4rQR6DeXn/FjwNtk+fDoFPrUNVc1eH8lotdembmUqHa8x3CXC0IDAi84p2VmXEzcd/4+zr9XF1xuVywWq2wWCywWq3QarWIjY1FTEwMQkNDr+prW1FRgaNHj2Ly5Mmyb5ncsGEDfvazn+Hjjz9GVlaWrGsTUc9jYCEi6gZJklBcXIycnByYzWacPXsWd9xxBwwGAzIyMi7b5uV0OrF48WKkpqbipz/96VXfmaGeYbPZUFhYiKioKIwdO1aW4aItrhYcqj6E/VX7cbTmqHcGS7guHI2ORnhE1+dL2loSqxQqhOnCoFAo0GBv8A51bKNVa6FUKK94ZuZikYGRcLgd0GtaO4Rd3G0sMTYRSxKXyDrF3uPxoKamBhaLBdXV1VCpVN5tY+Hh4Z22E//hhx9QWlqKxMREREZGylYTAGzZsgUPPvggVq9ejbvuukvWtYnoxmBgISK6SpIk4eDBg8jJyUFubi7Kysowe/ZsGAwGzJ8/HzqdDnfffTdOnTqFrVu3ciikn2hpaUFRURGio6MxZswYWcLKpRxuB45Yj+CQ9RAOWQ5163yLd37KJRQKBcJ14VAr1Kh31gMC3Z7J0tFQTL1Gj2BNMAYGD8SSxCVQK3uuK54kSaitrfWeexFCIDo6GjExMRgwYEC7dsltbb4TExMRFRUlax35+fm477778Pbbb+Pee++VdW0iunEYWIgIQOtwtt///vfYuXMnKisrMWjQIPz0pz/FU089hYCAAF+X57eEECgtLfWGl0OHDiE4OBg6nQ6bNm2S7V18uj7Nzc0oKipCbGwsRo8efUO+J27JjVJrKUosJThoOdhheLlSWLmURqVBuDYcAgLNzmbY3Fe+w9LZNrT48Hg8nPwwtOqe7fJ1MSEE6uvrveHF6XQiKioKMTExkCQJpaWlmDRpkuxtvgsKCrBw4UL89a9/xaJFi/h7SNSLMbAQEQBg27Zt+OSTT3Dvvfdi1KhROHToEJYuXYpFixbhpZde8nV5vUJdXR3S0tJQU1ODiIgIHDx4ED/60Y9gNBqRlZWF2NhYXjT5QHNzMwoLCzFo0CCMGjXKJ9+DSwdV1tvrOz0MfzGVUoUgTRAaHA3ex0K0IdCr9Ghxt7Sb9dJZm+NBIYPw6NRHEaiRt6vX1RBCoKmpCRaLBRUVFbDb7QgNDUVcXByio6Nle3Pkyy+/xF133YX/+Z//wc9+9jP+3hH1cgwsRHRFL774Iv73f/8X33//va9L8XtWqxVz585FTEwMcnJyoNfrcerUKZhMJpjNZnzzzTeYMWMGDAYDDAYDBg8ezIuoG6CpqQlFRUUYPHgwRo4c6RdfcyEETtafxP6q/SixlHTaFUylUCFEG4I6e90VnxOkCUKgJhAKoUCts9Z7huZi0UHRWDl1JUK18k2Lvx7V1dU4cOAARo8eDY/HA4vFgoaGBoSHh3vPveh0umta+5tvvoHRaMR///d/Y/ny5X7xPSei68PAQkRX9PTTT2Pbtm0oLCz0dSl+raKiAnfccQfGjRuHDz/88LJ3iYUQKC8vh9lshslkwldffYWkpCRveImPj+dFVQ9obGxEUVERhgwZghEjRvjt1/hsw1lveLl4UOWVBkh2JDggGA6PA2qFGsHaYDg9TtSfn2QfoY/AyqkrMUDvH8NKrVYrSkpKMGHCBMTGxnoft9vt3nbJtbW1CAkJ8YaX7nbYKyoqQlZWFn7729/i0Ucf9dvvORFdHQYWIupQWVkZkpOT8dJLL2Hp0qW+LsdvnTx5EnPmzMHtt9+Ot99+G2p15weZhRCoqqpCbm4uTCYTvvjiC0yYMMEbXhISEniRJYO2sDJ06FCMGDHC1+V0W2VTJUosJdhftR8trpYuB0gCQGBAIDySBw63o93jWrUWA4MG4l8n/itigmJ6quSrUlNTg5KSEowbNw4DBw684vOcTiesViuqqqpw7tw56PV6b3gJCQnp8HekpKQE8+fPx6pVq/D444/z94ioD2FgIerjVq1ahT/+8Y+dPqe0tBRjx471/v/y8nL8y7/8C1JTU/HOO+/0dIm92tmzZ/Huu+/i6aef7rRta0eEEKipqcH69ethMpmwY8cOjB49GgaDAUajETfffDMvuq5BQ0MDioqKMHz4cMTHx/u6nGtWY6tBSVUJSiwlOFF3Ah3957qzmSyBmkCsnLYSNwXfdCPK7dK5c+ewf/9+3Hzzzbjppu7X5Ha7UVNTg6qqKlitVrS0tGDDhg248847kZaWBrVajcOHDyMjIwMrV67EU089xd8boj6GgYWoj6uurkZNTeeTs0eMGOHdxlRRUYHU1FTMmDED77///lVfhNO1EUKgrq4OGzZsgNlsxueff45hw4Z5w8vEiRP5veiG+vp6FBcXY8SIERg2bJivy5FNR4MqO5vJolVrsSJlBYaG+UdL7draWuzbtw9jx47FoEGDrnmdtpbizz//PHbv3g2lUomUlBTs3bsXy5cvx3/9138xrBD1QQwsRORVXl6OWbNmITk5GX//+9/bzUqgG6uhoQGbNm2C2WzGtm3bEBsb6w0vSUlJDC8dqKurw759+zBy5Mg+PfumxdWCg5aDKK0pxQHLgcsO2WvVWixPWo4REf6xFa6urg7FxcUYPXo04uLiZFvX6XTigw8+wKpVq6BWq6FUKjF//nzceeedmDt3brfPvRCR/2NgISIArWElNTUVw4YNw+rVq9uFlc72mlPPa25uxtatW2EymbB582ZEREQgKysLRqMR06ZNY7DEhXfwExISMGTIEF+Xc8M43A4cth5GSVUJDlsPQxISfj7l5xgTOcbXpQG4ECITEhJkDSsAcOLECcydOxd33XUXXn75ZRQXFyM3NxdmsxmnTp1Ceno67rzzTmRmZmLAAP9oOEBE14aBhYgAAO+//z4WL17c4cf4Z8J/2Gw2fP755zCZTNi0aRP0ej0WLFgAo9GIW265pctD/31R29kIud/B721cHhdq7bV+c8C+bXveqFGjZA+Rp0+fxty5czFv3jy89tprl91xLC0thdlshtlsxuHDh1FZWYnw8HBZayCiG4eBhYiol3I6ncjPz4fJZMKGDRugVCqRmZmJ7Oxs3HbbbdBoNL4usce1dZ263rMRJK+2xgc9cZaooqIC6enpmD17Nt58880ut0dWVlbyLjFRL8fAQkTUB7hcLhQUFCAnJwd5eXlwuVzIzMyEwWDArFmzoNVqfV2i7KxWKw4cOHDVXaeoZ7W1lI6Pj5e9S1tlZSUyMjIwY8YMvPvuu9wOSdRPMLAQEfUxHo8He/bs8YaXxsZGzJs3DwaDAWlpadDr9b4u8bpVV1fj4MGDXc7zoBurLawMGzYMw4cPl3Xt6upqzJs3D5MmTcKaNWv65fZHov6KgYWIqA+TJAlff/01cnJykJubC6vVirlz58JgMCA9Pb1XdlKyWCw4ePDgZZPSybeamppQWFjYI8M6a2pqMH/+fCQkJGDt2rX9YrsjEV3AwEJE1E9IkoSioiJveCkvL8cdd9wBg8GAjIwMhIaG+rrELlVVVeHQoUOYOHEiYmL843A5tXayKywsRFxcHEaOHCnr2nV1dcjMzERcXBxycnK8M6OIqP9gYCEi6ockScKBAwe84eX48eOYM2cODAYD5s+fj/DwcL8bwFdZWYkjR45g4sSJiI6O9nU5dF5bWBk8eDBGjhwp689NQ0MDsrKyEBkZiby8vD55FouIusbAQkTUzwkhUFpaipycHJjNZhw5cgSpqakwGo3IzMxEZGSkz8PLDz/8gNLSUkyaNAlRUVE+rYUuaGlpQWFhIQYOHIiEhARZf06amppgNBoRGBiIjRs39omzV0R0bRhYiIjISwiBsrIyb3jZv38/br31VhgMBmRlZSE2NvaGh5eKigocPXoUiYmJiIyMvKGfm67MZrOhsLAQMTExGD16tKw/Fy0tLbjrrrsAAFu2bOmVZ62ISD4MLERE1CEhBE6ePAmTyQSz2Yy9e/dixowZyMrKgsFgwODBg3s8vJSXl+Pbb7/F5MmTOa3cj7SFlejoaIwZM0bWnwObzYaFCxfC4XBg69atCAkJkW1tIuqdGFiIiKhLQgicPXvWOz38q6++QnJyMgwGAwwGA4YNGyZ7eDlz5gyOHTuGKVOmICIiQta16drZ7XYUFhYiMjISY8eOlfX77nA4cO+996K2thaff/45wsLCZFubiHovBhYiIroqQghUVlYiNzcXJpMJX3zxBSZNmuQNL6NGjbrui9jTp0/j+PHjmDJlCsLDw+UpnK5bW1gZMGAAbr75ZlnDitPpxKJFi1BRUYHt27fzjhoReTGwEBHRNRNCwGq1Yv369TCZTNi5cyfGjBnjDS/XclF76tQpfP/990hKSuI77H7E4XCgsLAQ4eHhGDdunKxhxeVyYfHixTh+/Dh27NjBxgpE1A4DCxERyUIIgbq6OmzYsAEmkwnbt29HfHw8DAYDjEYjJkyYAKVS2ekaJ06cwMmTJxlW/IzD4UBRURFCQ0Mxfvx4WcOK2+3GQw89hAMHDmD37t2cr0NEl2FgISKiHtHQ0IBNmzbBZDJh27ZtuOmmm5CVlYXs7GxMmTLlsvDyxBNPwGKx4C9/+UuvGGLZXzidThQVFSE4OBgTJkyQNax4PB4sX74c//znP7F7927cdNNNsq1NRH0HAwsReR05cgQWiwWpqam+LoX6mKamJmzduhUmkwlbtmzBgAEDsGDBAmRnZyM5ORmrVq3Cxx9/jLy8PEybNs3X5dJ5bWElKCioW3fIroYkSVixYgW++OIL7Nq1C0OGDJFtbSLqW+T7y0NEvVbb+xZnz57F7NmzUVdXB76X0d5f//pXxMfHQ6fTYfr06fjnP//p65J6leDgYNxzzz1Yu3Ytqqqq8Oc//xn19fW48847MXjwYLz33nv4/e9/j6SkJF+XSue5XC4UFxcjMDCwR8LKr371K+zatQv5+fkMK0TUKQYWIvJu8Rg6dCjGjBmDwsJCKBQKfP311zAajVixYkW/DjCffPIJHnvsMfz2t79FcXExEhMTkZ6eDovF4uvSeiW9Xg+j0YjVq1djyZIl0Gq1yMjIwLPPPouEhASsWLECu3btgsvl8nWp/VZbWNHpdJg4caLsYeXJJ5/E5s2bkZ+fj/j4eNnWJqK+iVvCiAhA615ylUqFKVOm4Mc//jEkSUJubi5mzZqFJUuWYObMmZAkCZIkQa1W+7rcG2r69OmYOnUqXnvtNQCtF1xDhgzBI488glWrVvm4ut5JCIHHHnsMOTk52LlzJxISEuByubB7926YTCbk5eXB7XYjMzMTBoMBqamp0Gq1vi67X3C73SguLoZGo0FiYqLsYeWZZ57BRx99hF27dmHMmDGyrd0THA4Hpk+fjpKSEuzbtw+TJ0/2dUlE/RLvsBARAEClUqG5uRlKpRLvv/8+vvvuO3z66ad46623MHPmTJSXl0OpVPa7sNK2hz8tLc37mFKpRFpaGv7xj3/4sLLeSwiBFStWwGw2o6CgAAkJCQAAjUaDO+64A2+88QbOnj2LnJwcBAcH45FHHsHw4cOxdOlSbNq0CTabzcevoO9qCytqtRqTJk2SNawIIfDcc89hzZo1yM/P9/uwAgC//vWvMWjQIF+XQdTvMbAQ9WMX32D94IMPsGjRIuzbtw+DBw/G+vXrkZSUBIVCAbfbjYcffhjx8fF4/fXXIUmSD6u+saxWKzweD2JjY9s9Hhsbi8rKSh9V1XtJkoTly5dj8+bNKCgowIgRIzp8nlqtRmpqKl577TWcOnUKmzdvRkxMDJ544gkMHz4cDzzwAHJzc9Hc3HyDX0Hf5fF4sG/fPqhUKiQmJkKlUsm2thACL730Et58801s374d48aNk23tnrJ161Z8/vnneOmll3xdClG/x8BC1I8pFAp88803mDNnDp5//nlkZGTgqaeewsCBA1FdXe19nhACzz77LO677z6UlJTI+q4r9S8KhQKDBg3C7t27u312QaVS4Uc/+hH+9Kc/4fjx48jPz8fw4cPxzDPPID4+Hvfddx8+/fRTNDQ09GzxfVhbWFEoFJg8ebLsYeWVV17BX/7yF3z22WeYNGmSbGv3lKqqKixduhRr1qxBYGCgr8sh6vd41UHUj509exYPP/wwhg4dii1btmDp0qVYuHAh9uzZg6amJgCt74hrNBpER0ejubkZs2fP9j7eH0RFRUGlUqGqqqrd41VVVRg4cKCPquq9FAoF/uM//gNDhw69pn+vVCoxbdo0vPDCC/j222+xZ88eTJgwAS+88ALi4+OxcOFCfPjhh+x0dxU8Hg/2798PIQSmTJkie1h544038MILL2Dr1q1ITk6Wbe2eIoTAgw8+iH/7t39DSkqKr8shIjCwEPVrcXFx2Lt3L9566y3vu90BAQGQJAmlpaUA4L2bcvr0aZw9e9Y7o6W/3GUJCAhAcnIyduzY4X1MkiTs2LEDM2fO9GFlpFQqMWXKFPzhD3/A4cOHUVRU5G2OEB8fjzvvvBOrV6+G1WpleLkCj8eDkpISSJLUI2Hlb3/7G373u99h06ZNmD59umxrX4tVq1ZBoVB0+r+jR4/i1VdfRWNjI37zm9/4tF4iuoBdwoj6MUmSLgseDocDa9asQXBwMH7yk58AAGw2Gz788EMUFxfj9ddf90WpPvXJJ5/ggQcewJtvvolp06bhz3/+Mz799FMcPXr0srMt5HtCCBw7dgw5OTkwm80oKSnBbbfdBoPBgKysLMTExMg6rb23kiQJJSUlcLlcSEpKkrWhhhACa9aswa9//Wts2LDBL4bRVldXo6amptPnjBgxAgsXLsTGjRvb/Yy0dVG8//77sXr16p4ulYguwcBCRF1qbm7GE088galTp+KBBx7oMOj0da+99hpefPFFVFZWYvLkyXjllVd8/o4xdU0IgRMnTsBkMsFsNqOwsBAzZ85EVlYWDAYDBg0a1C/DS1tYcTqdSEpKgkajkW1tIQTWrl2LlStXIi8vD3PmzJFt7Rvh9OnT7c5DVVRUID09HTk5OZg+fTri4uJ8WB1R/8TAQkTtCCEgSRJUKhWEEHj11VcRGRmJzZs346OPPvI+pz9e5FHvJoTAmTNnYDabkZubi6+++grJyckwGAwwGo0YOnRov/i5liQJBw8ehM1mQ3JysqxhBQBMJhOWLVuGdevWISMjQ9a1feHkyZMYPnw457AQ+VD/eouUiLqkUCi8+9ibm5tx+vRpPPvss1i7di1+97vfoaWlpV9c1FHfo1AoMHToUKxcuRK7d+/GqVOnsGjRIuTn52PSpEm4/fbb8fLLL6OsrKzPnnlpCystLS2y31kBgA0bNmDZsmX46KOP+kRYISL/wDssRNQtRUVF2LdvH+655x6EhYX5uhwi2QghYLVakZeXB5PJhJ07d2Ls2LEwGo0wGAwYO3ZsnwjpkiTh0KFDaG5uRnJyMgICAmRdf8uWLXjggQfwwQcf4K677pJ1bSLq3xhYiOiKLt4eRtQfCCFQW1uLDRs2wGQyYfv27RgxYoR329j48eN75fktIQQOHz6MhoYGpKSkyB5W8vPzcd999+Gdd97xNusgIpILAwsRdQvPrVB/VF9fj02bNsFkMuGzzz7DoEGDkJWVhezsbEyePLlXhBchBI4cOYK6ujqkpKRAq9XKun5BQQHuuecevP7661i0aBH/ThCR7BhYiIiIuqGpqQlbtmyByWTC1q1bERkZiQULFiA7OxtTp071y/AihEBpaSlqa2uRnJwMnU4n6/p79uzB3XffjT/96U9YsmQJwwoR9QgGFiIioqvU0tKCzz77DGazGZs2bUJQUBCysrJgNBoxc+ZMv9hGKYTA0aNHUVNTg5SUFNnDyjfffAOj0YjnnnsOy5YtY1ghoh7DwEJERHQd7HY78vPzYTabsX79emg0GixYsABGoxG33nqr7J24ukMIgW+//RbV1dVISUmBXq+Xdf2ioiJkZWXhmWeewYoVKxhWiKhHMbAQERHJxOVyYffu3cjJyUFeXh48Hg8yMzNhNBqRmpoq+2H3jggh8N1338FisfRIWCkpKcH8+fPxm9/8Br/61a8YVoioxzGwEBER9QC32409e/Zg3bp1yMvLQ0tLC+bNmweDwYC0tDTZt2gBrWHl2LFjqKysREpKCgIDA2Vd//Dhw8jIyMDKlSvx1FNPMawQ0Q3BwEJERNTDPB4P/vGPf3jvvNTW1iI9PR1GoxE//vGPZQkWQgiUlZWhoqICKSkpCAoKkqHyC44ePYqMjAz8/Oc/x7PPPsuwQkQ3DAMLERHRDSRJEvbu3YucnBzk5uaisrISd9xxB4xGI+bOnYuQkJBrWresrAzl5eU9ElaOHTuGjIwMLFq0CM8995xfdkQjor6LgYWIiMhHJEnC/v37YTKZYDabcfLkSaSlpcFgMGDevHkICwvr1p2M48eP48yZM0hJSUFwcLCsNZ44cQJz587F3XffjZdffplhhYhuOAYWIiIiP9A2jT4nJwdmsxnffvstZs2aBYPBgMzMTAwYMKDD8PLSSy8hISEBc+bMkT2snD59Gunp6cjMzMSrr77KsEJEPsHAQkRE5GfaOn213XkpKSnBbbfdBqPRiAULFiAmJgYKhQL/+Z//ibfeegsbNmzAtGnTZK2hoqIC6enpmDNnDt544w2GFSLyGQYWIiKSzXPPPQez2YyjR49Cr9fjlltuwR//+EeMGTPG16X1WkIIfP/99zCZTMjNzUVhYSFmzpwJnU6Hr776CiaTCbfddpusn7OyshIZGRmYOXMm/va3v/nFIEwi6r8YWIiISDZz587FT37yE0ydOhVutxtPPvkkDh06hCNHjsh+ELw/EkLgzJkz+OUvf4n169cDAKZOnQqDwQCDwYChQ4ded/cui8WCefPmYfLkyfjggw+gVqvlKJ2I6JoxsBARUY+prq5GTEwMCgoKcPvtt/u6nD7hjTfewBNPPIFt27Zh2LBhyM3Nhclkwv/93/8hMTERRqMRBoMBI0aMuOrwUlNTg/nz52P06NH4+OOPodFoeuhVEBF1HwMLERH1mLKyMiQkJODgwYOYMGGCr8vp9d555x089thj2LZtG2655Rbv40IIVFdXIy8vDyaTCbt27cLNN9/sDS9jxozpMrzU1dUhMzMTQ4YMwbp16xAQENDTL4eIqFsYWIiIqEdIkoSsrCzU1dVhz549vi6n13vvvfewYsUKbNmypdMzK0II1NbWYv369TCZTMjPz8fIkSORlZWF7OxsjBs37rID9A0NDcjKykJUVBRyc3Oh1Wp7+uUQEXUbAwsREfWIZcuWYevWrdizZw/i4uJ8XU6vVllZiYkTJ2LdunVITU29qn9bX1+PjRs3wmw2Y9u2bRg8eDCMRiOMRiMSExPR0tICo9GIwMBAbNy4EXq9vmdeBBHRNWJgISIi2T388MNYv349vvjiCwwfPtzX5fQJDQ0NCA0Nva41GhsbsWXLFpjNZmzZsgUDBgyAJEmIj4/Htm3b2BiBiPwSAwsREclGCIFHHnkEubm52L17NxISEnxdEl1BS0sLzGYznn/+eXz55ZcICwvzdUlERB1iYCEiItksX74cH330EdavX99u9kpYWBi3GhER0TVhYCEiItlcqRPVe++9hwcffPDGFkNERH0Cp0EREZFs+B4YERHJTdn1U4iIiIiIiHyDgYWIiIiIiPwWAwsREREREfktBhYiIiIiIvJbDCxEREREROS3GFiIiIiIiMhvMbAQEREREZHfYmAhIiIiIiK/xcBCRERERER+i4GFiIiIiIj8FgMLERERERH5LQYWIiIiIiLyWwwsRERERETktxhYiIiIiIjIbzGwEBERERGR32JgISIi8jPPP/88FAoFVq5c6etSiIh8joGFiIjIj+zduxdvvvkmJk2a5OtSiIj8AgMLERGRn2hqasL999+Pt99+GxEREb4uh4jILzCwEBER+Ylf/OIXmD9/PtLS0nxdChGR31D7ugAiIiIC1q5di+LiYuzdu9fXpRAR+RUGFiIiIh87c+YMHn30UWzfvh06nc7X5RAR+RWFEEL4uggiIqL+LC8vD9nZ2VCpVN7HPB4PFAoFlEolHA5Hu48REfUnDCxEREQ+1tjYiFOnTrV7bPHixRg7diyeeOIJTJgwwUeVERH5HreEERER+VhISMhloSQoKAiRkZEMK0TU77FLGBERERER+S1uCSMiIiIiIr/FOyxEREREROS3GFiIiIiIiMhvMbAQEREREZHfYmAhIiIiIiK/xcBCRERERER+i4GFiIiIiIj8FgMLERERERH5LQYWIiIiIiLyWwwsRERERETktxhYiIiIiIjIbzGwEBERERGR32JgISIiIiIiv8XAQkREREREfouBhYiIiIiI/BYDCxERERER+S0GFiIiIiIi8lsMLERERERE5LcYWIiIiIiIyG8xsBARERERkd9iYCEiIiIiIr/FwEJERERERH6LgYWIiIiIiPwWAwsREREREfktBhYiIiIiIvJbDCxEREREROS3GFiIiIiIiMhvMbAQEREREZHfYmAhIiIiIiK/xcBCRERERER+i4GFiIiIiIj81v8HktcjRIM1xXcAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "M = 150\n", - "\n", - "σ_1, σ_2 = np.sqrt(np.diag(Σ))\n", - "\n", - "x = np.linspace(-3 * σ_1, 3 * σ_1, M)\n", - "y = np.linspace(-3 * σ_2, 3 * σ_2, M)\n", - "\n", - "x, y = np.meshgrid(x, y)\n", - "xf = x.flatten()\n", - "yf = y.flatten()\n", - "xy = np.stack([xf, yf], axis=1)\n", - "exy = np.exp(μ + xy)\n", - "\n", - "z = X._cdf(exy).reshape(M, M)\n", - "\n", - "cdf_approx = np.array(\n", - " [\n", - " [np.sum(X_approx.pmv.reshape(N, N)[0:j, 0:i]) for i in range(1, N + 1)]\n", - " for j in range(1, N + 1)\n", - " ]\n", - ")\n", - "\n", - "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", - "ax = plt.axes(projection=\"3d\")\n", - "\n", - "ax.scatter(\n", - " np.log(X_approx.atoms[0].flatten()),\n", - " np.log(X_approx.atoms[1].flatten()),\n", - " cdf_approx.flatten(),\n", - " color=\"red\",\n", - ")\n", - "ax.plot_surface(μ[0] + x, μ[1] + y, z, alpha=0.6, cmap=cm.ocean)\n", - "\n", - "ax.set_xlabel(\"$x_1$\")\n", - "ax.set_ylabel(\"$x_2$\")\n", - "ax.set_zlabel(\"CDF\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Looking at the approximation using the sqaure root or eigendecomposition, note that the result is a different (although not much worse) estimation of the true CDF, despite the expectation of the discrete approximation remaining unchanged." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([1., 1.])" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "N = 10\n", - "\n", - "X_approx2 = X._approx_equiprobable(N, decomp=\"sqrt\")\n", - "X_approx2.expected()" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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nT58+9jIPwyANDLvRcktRFAwNDWFoaAgXL16EZVnY3d1FOp3G8+fPcf/+fQQCAVfADA8PIxQKdXy7+gWvgJG/Vy0BU10DM0jnKUEQRC1IsBAE0RTvzK+3gV492hFhyWazmJmZgaZpmJ6eRiQSOdbyTjK9GtCqquoKE8AWoJlMBplMBpubm1heXkYoFKoQMN3uoePX3snyN6slYAzDQKlUIgFDEMSJgQQLQRANqS6sb6Wr93FqWIQQ2NzcxNLSEs6fP49r166Ri9KAoKoqRkdHMTo6CgAwTROZTMYt4F9cXEQ0Gq2ogdF1vcdb7Q+aCRjDMADUtlEmAUMQRL9DgoUgiLp4e6scpmP9USMspmlicXER29vb+PDDDzE2NnboZRC18WMkQdM0jI2Nub9zuVxGOp1GJpPBo0ePsLCwgFgsVlED0wkL634c0NcSMPJPqVQiAUMQxEBBgoUgiAPU6q1ymEHOUWpYdnZ2MDs7i3A4jDt37iAYDB52s4k+R9d1jI+PY3x8HABQKpXcCMzKygoKhQISiUSFjfJxDRj8KOSOgjfyqarqAQHjTSHTdd0VMIe9tgmCIHoBCRaCICqo11vlMBwmwiKEwPr6OlZWVnD58mVcvnyZBlBtpl+PZzAYxMTEBCYmJgAAxWLR7QGzvLwMwzCQSCTcCEwikSAHOYdGAqZYLLqfIQFDEEQ/QIKFIAgXmQ9/lKiKF0VRXMHTCMMwMD8/j729PXz88cducTbRfgYhkhAKhTA5OYnJyUl34C0FzLNnz2CaJoaGhpBMJjEyMoJ4PN5S/dNJGKC3KmBk80oSMARB+AkSLARBuClg0gXsuIOUVlLCUqkUZmdnMTQ0hOnp6a67QxH9DWMM4XAY4XAYZ86cgRAC+XzeFTBPnz4F5xxDQ0NuBCYejx84rwdByB2FegKGc+4KGEVRDtTAkIAhCKIXkGAhiBNOO1LAqmmUEiaEwNraGh49eoQ33ngD58+fpwFQhzkJx5cxhmg0img0irNnz0IIgVwu5wqY9fV1AKhwIItGoz3eav9QT8BYloW7d+9iamoKY2NjJGAIgugJJFgI4oRy2N4qh6GerXGxWMTc3ByKxSJu3bqFRCLRlvURzTlpkQTGGGKxGGKxGM6dOwchBPb29pBOp7G9vY2HDx9W1G/kcjlEIhEafDvI+4GiKDBN0xUmlmXBsqwDRfwylayd9xGCIAgJCRaCOIEIIWCaJkzTBNBab5XDUCvC8urVK8zNzeHUqVO4efNmR+xpCaIejDEkEgkkEglcuHABnHPs7e1hbW0N+Xwe3/rWt6BpWkUTy1AoRINvwE0TlX/ka143QXkPqa6BIQFDEEQ7oBEDQZwwZFRF1ph0oimjt4aFc44HDx7gyZMneOuttzA1NdX29RGNoQHjQRRFcQv0w+Ew3njjDezu7iKdTuP58+e4f/8+AoHAAQFzEqkVnfNGYORn5ERIuVyuEDAyAiNTyAiCIA4LCRaCOCF4U8CO6wLWDBlhyefzmJ2dBecct2/fRiwW68j6iOactJSww6KqqitMAMCyLGQyGWQyGWxubmJ5eRmhUKhCwJwUowiZMtoIEjAEQXQSEiwEcQLoRGF9IxRFQbFYxNe+9jWcOXMG169fp/4YhG+pdS2oqorR0VGMjo4CAEzTdJtYrq+vY3FxEdFo1G1gOTw8DF3Xu73pXaEVwVJNMwED4EABPwkYgiDqQYKFIAYcGVWxLKsrjj6WZeH58+fY29vDBx984Db9I3oHpYTVp9XIk6ZpGBsbw9jYGACgXC4jnU4jk8ng0aNHWFhYQCwWc6MvyWRyYOq0jiJYqqknYMrlMgzDcN8nAUMQRC0G425KEMQB2t1bpRWy2SxmZmZgWRYSiQSJFR9BKWHtRdd1jI+PY3x8HABQKpXcCMzKygqKxSLi8bgrXpLJZN9GGdshWKqpJWDk5IqMwFQLGOlCRhDEyYMEC0EMIN1OARNCYHNzE0tLS7hw4QKi0SiePn3asfURRDtpx7URDAYxMTHhivRisej2gFleXoZhGEgkEm4EJpFI9I2A6YRgqUbWt3jXKQVMrQiM14WMIIjBhwQLQQwYMqrS6cJ6iWmaWFxcxPb2Nj788EOMjY3h+fPnNKPvI2hQ131CoRAmJycxOTkJIUSFgHn27BlM08TQ0JArYOLxuG/Tn7ohWKppRcAoinKgiJ/OdYIYTEiwEMSAUN1bpRtiZWdnB7OzswiHw7hz5w6CwSCASltjwh+QgKxNN44LYwzhcBjhcBhnzpxxHfSkgHny5Ak45wcEjF8G370QLNW0KmCqa2B6vd0EQbQHEiwEMQBU91bpdLM2IQTW19exsrKCK1eu4NKlSxXrq9fpniAI+/qMRqOIRqM4e/YshBDI5XKugHn8+DEYY6772PDwMKLRaE8H334b+HsFjLzXcM5hGAZKpRIJGIIYMEiwEEQf083eKhLDMDA/P4+9vT18/PHHbt8KL7U63RO9gwZpjen18WGMIRaLIRaL4dy5cxBCYG9vD+l0Gtvb23j48CEURakQMJFIpGvb7YcISyPktpGAIYjBhQQLQfQp3S6sB4BUKoXZ2Vkkk0lMT0/XbZw3KClhNJgZfPworBljSCQSSCQSuHDhAjjn2NvbQyqVwqtXr7C6ugpN0yqaWIZCoY6dr34XLNXUEjDyT6lUgmEYAGr3gemn/SSIkwQJFoLoQ7rdW0UIgbW1NTx69AjXr1/HuXPnGq5zkCIs/TZYq8eg/B4nEUVRMDQ0hKGhIQC2scbu7i7S6TSeP3+O+/fvIxgMVkRgQqFQ29bf7+eON0VWVdUDAsYbgZEF/JqmdeXeShBEa5BgIYg+QvZWMU2zaylgxWIRc3NzKBaLuHXrFhKJRNPvDEoNy6CIlUHYh07Sb8dHVVVXmAC2gJE9YKS9eDgcrojA1IuGNkNex351MDsKjQRMsVh0PyMFjIzAkIAhiN5BgoUg+oRepIC9evUKc3NzOHXqFG7evNly5+5BirAQhN9RVRWjo6MYHR0FYFuNSwGzvr6OxcVFRKNRt4nl8PAwdF1vadkn4TpuVcDIyAsJGILoPiRYCKIP6HZvFc45Hjx4gCdPnuCtt97C1NTUob4/KDUsg8RJGHgehUGJonnRNA1jY2MYGxsDAJTLZdeB7NGjR1hYWEAsFnOjL8lksu5khDxvBu0YNaKegOGcuwJGUZQDNTAkYAiic5BgIQgf4+2tIoToygMxn89jdnYWnHNMT08jGo0eehmDkhI2KFDE62Sj6zrGx8cxPj4OACiVSm4EZmVlBcViEfF43BUvyWTygOPWSR6INxIwpVIJxWIRiqIgn88jHo8jGAySgCGINkOChSB8Cuccpml2NQXs+fPnWFxcxJkzZ3D9+vWKRm2HYRAGyDTQODmctN86GAxiYmICExMTAOw6NRmBWV5ehmEYSCQSbgNL4OQdo0ZU97mSAuY73/kObt686VpOUwSGINoHCRaC8Bne3ioyXaXTDznLsrC0tISXL1/i3XffdQcyR4VSwvxHvwtIonOEQiFMTk5icnISQggUCoWKIn4AmJubw8jIiCtiBqkI/7jIe7QQwnUZ8xqkyPera2C6cW8niEGBBAtB+AhvChjQ+Y71ALC3t4fZ2Vlomobp6WmEw+FjL3MQIizA4MwqD8p+dIJBOE/bCWMMkUgEkUgEZ86cQalUwn//7/8dp06dQiaTwZMnT8A5x9DQkFsDE4/HT/w5JqMsMooiIyze90zTRLlcJgFDEEeABAtB+IRe9FZ5+vQplpeXceHCBVy9erVts6beBzU9gAm/Q+doc86ePYtz585BCIFsNutGYB4/fgzGWEUPmGg0euKOqYwo19rvwwgYGaGRKWQEQdiQYCGIHtOL3iqmaWJhYQGpVAoffvih6ybULuT2k2DxDxRJII5C9UCcMYZ4PI54PI5z586Bc45sNot0Oo3t7W08fPgQiqJUCBhZ0zHIHKZfTTMBI5fjjb6QgCFOOiRYCKKH9KK3ys7ODmZmZhCJRHDnzh0Eg8G2r0PugxRgBOFXSMg1p9E9SVEUJBIJJBIJXLhwAZxz7O7uIp1OY2trC6urq9A0raKJZTvSTv1GowhLM+oJmHK5DMMwAJCAIQgSLATRIzjnePXqFaLRKDRN60oK2Pr6OlZWVnDlyhVcunSpY+v0PniJ3jPos9tE5zhslFRGV5LJJC5dugTLslwB8/z5c9y/fx/BYLAiAhMKhTq4B93hMBGWZtQSMDJlWEZgGGMkYIgTBQkWgugyMgWsXC7jG9/4Bj73uc+13HX6qBiGgfn5eezt7eHjjz/G8PBwR9fnTQkj/AH9FvUhQVef46Z1qqrqChPATkfd2dlBOp3G06dPsbS0hHA4XBGBCQQC7dr8rnGcCEszZH2LxCtgDMNwBY5XwHRjEowgugkJFoLoIrVSwDo9kEylUpidnUUymcSdO3c6Lo6AypSwfmV7exsrKyuIRqOunWs3jh3RXUjINabdx0fTNIyOjmJ0dBSALWBkAf/6+joWFxcRjUZd8ZJMJvviupMOYd2gFQGjKMqBIn4SMEQ/Q4KFILpAvd4qiqJ0bFAvhMDa2hoePXqE69ev49y5c117YPVzhEUIgdXVVTx+/Bjnz59HuVzGo0ePsLCw4HYDlwOpozbW7DY0UCGOSqeNMzRNw9jYmGv8YRiGK2DW1taQz+cRi8UqrjtN89/QhXPes+usVQFTnUJG9wWin/DfVU8QA0aj3iqdEizFYhGzs7MwDAO3bt1CIpFo+zoa4W2k1k+USiXMzc2hUCjg1q1briEBYwylUulAN3DZi2JkZMT3zfT67bfoJjRwq0+3nf4CgQDGx8cxPj4OAO51l8lksLKygmKxWDFxMDQ05IuJg25GWJrhFTDyuuecwzAMlEolEjBEX0KChSA6iJzlkqKk+oHWiUH91tYW5ufnMT4+jo8++qhns5H91u1eps4NDw/jww8/hKqqrkMPAASDQZw+fRqnT592u4FLAfP06VNwzpFMJt30sZPYi6IfISHXmF5bk3uvO8CejJHX3dLSEgzDQCKRqBAwvRAOvYywNEJuEwkYot8hwUIQHcAbkm/UW6WdERbOOR48eIAnT57g7bffxpkzZ9qy3KPSLxEWIQQePnyIhw8fVqTONdp2bzfwqakpt5me7EWxtrbmFhtLAdNLK1caeBBHpdeCpZpQKITJyUlMTk5WTBxkMhk8e/YMpmm6kc/h4eGuRT77xcK9kYAplUoNbZT9dB4QJw8SLATRZg7TW6VdgiWfz2NmZgZCCExPTyMajR57mcelG4YCx8UwDMzNzSGXy+HTTz/F0NBQxfutii5vM73z58+Dc+46IXmtXKV46YUTkt9/C8Kf+E2weKk1cZDP590IzMbGBoQQrs2yFDCd2B8/pYQdBq+AUVXV7QEjhECpVKqIwMgCfk3TutIzjCC8kGAhiDYioyqWZbV0Q2+HYHn+/DkWFxdx5swZvPnmm755aPo9wpJOpzE7O4uhoSFMT0+31YlIUZQDVq7VTkj9UEh8UqCBV338LFiqYYwhGo0iGo3i7NmzFZHPTCaDx48fgzFW0QOmXambfk0JOyzeGstqAVMsFt3PSAEjIzAkYIhOQ09IgmgD3t4qcqatlZv3ceo8LMvC0tISXr58iXfffRcTExNHWk6n8GsNixACjx8/xurqKq5du4YLFy50/EFbywkpnU4jlUrhwYMHKJVKbh7+yMgIEolEW4UnDSTq42dR7Rf69fypFfmsl7opRUwkEjnS/vZrhKUZJGAIv0CChSCOyWFSwKo5atrU3t4eZmdnoWkapqene1ofUQ8/RljK5TLm5+exu7uLTz75BMlksifbEQgEMDEx4YpMmYefSqWwubnpFvDLWeBYLHbsh7/ffguiP+inCEszFEVBIpFAIpHAhQsXwDnH7u4u0uk0tra2sLq6Ck3TKppYtnpvHZQISzNaFTAydYwEDNEuSLAQxDGQUZVGhfWNOGxKmBACT58+xfLyMi5cuICrV6/6dlbPbzUsOzs7mJmZQSwWw/T0tK+6aYfDYYTDYZw5cwZCCORyOaRSKaTTaTx69KgixUwOoujhT3SDQRIs1SiK4ta3XLp0CZZluQLGW3vmjcCEQqGayxrUCEsz6gkYWcRfLBahKMqBIn4SMMRhIcFCEEegurfKUW++hxEs5XIZi4uLSKVS+PDDD930Ir/il5QwIQQ2Njbw4MEDXL16FRcvXvT1g5Ixhlgshlgs5qaxyEHUy5cv8eDBA3cQJVPImokvP++vH6DjU59BFizVyPQwb+2ZNM94+vQplpaWEA6HKyYP5LV3UiIszfAKGACugLEsC5ZluUX8pVIJkUgEwWCQBAzREiRYCOKQVPdWqb5BH4ZWBYuMDkQiEdy5c8dtaOhn/JASVi6XsbCwgEwmg48//tgdiPQTtWaBZQH/xsYG7t27h2g06oqXegX8vf4t/Aodl8ac5OOjaRpGR0cxOjoKoLZ5hrz2/DA540fk81FGn6SAmZ2dxZUrVzAyMlKRQib/Ps5zlRhMSLAQRIu02lvlMDSLQsgC8ZWVFVy9ehWXLl3qm5t4r1PCdnd3MTMzg3A4jDt37vgqBew4qKpaMYgql8tu/Yu3E7i0UK62aiYO0i/XVC84SRGWZtQyz5AC5vXr1zAMA9/85jfJ/a8BUohwzhEIBNw0MtM0US6X3fera2BIwBB0JRFECxynsL4RjQb1hmFgfn4ee3t7+OSTT/ouOtCrCIsQAk+ePMH9+/dx+fJlXL58eaAfdLquY3x8HOPj4wDsTuCy/kU20guFQmCMYXd3t2N9KIjBhARLfQKBgHvthcNhpNNpTExMIJPJVEweSAEzNDTkNmw86Xgn/WpFYGoJGNkHRqaQEScLEiwE0YTD9lY5DPVSwra3tzE3N4dkMok7d+60tUdIt+hFDYtpmlhcXMT29jZu3rzpRiGOQ78N2EKhEM6cOVNRwP/o0SPs7Ozg7t27YIxV1L+c9AL+k5zy1Ar9dv73Cs45NE3D6dOncfr0aQD25IFsYrm0tATDMFz7cilgTurAWwqWapoJGAAHCvhJwJwMSLAQRB1koaBpmm1LAaumWrAIIbC6uorHjx/j+vXrOHfuXN8OFrodYdnb28PMzAyCwWDf1Pl0GlnAn0wmIYTAO++8g729PdfGdWVlBYFAwBUvw8PDdNyICkiwtEatAXgoFMLk5CQmJychhHDtyzOZjBv9HBoacgVMPB4/MQPveoKlmnoCplwuwzAMACRgTgokWAiiBp1KAavGK1iKxSJmZ2dhGAZu3bqFRCLR9vV1k27WsEgHn4sXL+Lq1as0wKpCHg9FUTA0NIShoSFcvHgRlmVhZ2cHqVQKT548wb179xCJRFzxkkwm+zK6d1jofKkPCZbWaGZrzBhDJBJBJBLB1NQUhBDI5/NuBGZjYwNCCNc+OZlMDmz6JuccQogjpcfVEjAyC8IwDPd9EjCDBwkWgqjiuL1VDgNjDJZlYWtrC/Pz8xgfH8dHH300EIWa3UgJsywL9+7dw9bWVl9YPfsNVVUxMjKCkZERAHYBfyaTQSqVwtraGvL5/IEUFsrBP1mQYGmNw9oaM8YQjUYRjUZx9uxZCCGQzWbdCMyjR4/AGKtoIBuNRgfit5DPhXaICFnfIvEKGJlCVi1gpAsZ0V/0/6iIINqEt7eKnC3r9E2NMeYWR7/99ts4c+ZMR9fXTTqdEpbNZjEzMwNd13Hnzp26Dd0Im1Z+C13XcerUKZw6dQpAZQ7+vXv3KlJYRkZGBmIGmGpYmtPvv3E3OG7jSMYY4vE44vG4239JCpjt7W2sra1V9IlJJpOIRCJ9+du0U7BU00jAyAiMoig1XcgIf0OChSBg30BN0+x4CpiXfD6Pzc1NcM4xPT2NaDTa0fV1m06mhD179gyLi4s4f/48rl27RuH+Jhz1XK7Owa9OYQGAZDLpppD16wCqH7e5W1CEpTU4522NPiqKgkQigUQigQsXLhxoILuysgJN0yqaWIbD4batv5N0UrBU06qAqU4ho3Pef5BgIU403puXfDB340b1/PlzLC4uIhaLIRgMDpxYAToTYbEsC8vLy3jx4gXef/9918qX6Dy1Ulj29vaQSqXw6tUrrK6uQtM0V7wMDw9T1GsAIMHSGseNsDSjVgNZKWCeP3+O+/fvIxgMVggYvxpoyPS5XpxXXgEjn0+ccxiGgVKpRALGx5BgIU4s3hQw4Hgd61vFsiwsLS3h5cuXeO+991AoFLC9vd3RdfaKdtew5HI5zMzMQFEUTE9Pd3w2cdAeUO0Wj4wxdwbYW8CfTqexubmJ5eVlhMPhigGUHwv4KSWsMSRYWuOwNSzHxZseBtiW7vL68xpoeGtg/NI8t93RqKMify8SMP0BCRbiRNLJ3ir12Nvbw+zsLHRddwfcGxsbXe9V0i3aGWF58eIFFhYWMDU1hevXr3ctBWxQHkrd2I/qAn7TNN30sUePHmFhYaGiiV4ymfTFoIVoDAm61uh0hKUZmqZhdHTU7T1VLpddAbO+vo7FxUVEo9GK669XEwitWhp3m0YCplQqNbRRHpRnhZ8hwUKcKLrRW6XWOp8+fYrl5WVcvHgRV65ccW/W3bT+7Tbt2DfOOZaXl/Hs2TO8++67mJiYaNPWnTy6fZ5pmlZRwF8qlVwBs7y8DMMwDhTw92oQQ4ON+lCEpTW6HWFphq7rGBsbc50TDcNAJpNBOp12HQBjsViFgOmWO6WcKPQ7XgGjqqrbA0YIcUDA6Lrufo4ETGcgwUKcGLrVW8VLuVzG4uIi0ul0zc7r9TrdDwLHTQnL5/OYnZ2FEALT09OIRCJt3Dqi2wSDQbcLuLeJnuwBI4SoSB8bFAvXfocES2v0OsLSjEAggPHxcbfuzzuBsLKygmKxWBEB7aSFuV8jLM3wpo1XC5hiseh+RgoYGYHpVhbHoEOChTgRyJzUbkVVACCTyWB2dhbRaBTT09M1CyAHXbAcdVZ/a2sLc3NzOHPmDK5fv06pQwNGrSZ62WwWqVTKtXDtlgPSoEY42wUJltbwW4SlGd4JBKDSwnxpacmNgMoamKGhobaJjH4VLNWQgOkuJFiIgUamgEkXsG6lgD1+/Birq6u4evUqLl68WHedJFgq4ZzjwYMHePLkCd555x1MTk52aOtaY1AeKn7fD28PCmnhKvPvpQNSKBRy08eSyaRvCogHHRIsrdHvg/BqC3MZAZV9wrw9mIaHh4+VwmlZ1kBOQrUqYKp7wJCAaQ0SLMTA0osUMMMwMD8/j2w2i08++QTJZLLh57vRDb5XKIriHvtWKBQKmJ2dhWmaA9mXptf0UyRBUZQDDkgy//7Ro0fI5XJu/v3IyAiGhoaOlX9Pg4X6kGBpDb+nhB2GWhHQ6h5MQgg3+pJMJg/VRLbfxV2r1BMwnHNXwCiKcqCInwRMbUiwEAOJN6rSLb/37e1tzM3NIZlMYnp6uiUHlkEuuj+MGHv16hXm5uYwMTGBGzdu+Gb2bVB/m35D07QDBcSy/uX+/fsolUpIJBJuD5hEItHygIh+48aQYGmNfksJOwy1ejBls9kKF0DGWIWFcqMatJMiWKqpJ2Asy4JlWXVtlEnA2JBgIQaKXvRW4ZxjbW0Njx8/xvXr13Hu3LmW13nSU8I451hdXcX6+jreeustTE1NdWnrThaD9rALBAKYmJhwXeMKhQJSqRTS6TSePn0KznnF4CkWiw3cMegmdOyaM0gRlmZ4UzjPnz8PzrkrYGQNmrdPTDKZRCQScc+jkypYqpHjE3ksGgkY6UKmaVrPmm72GhIsxMAge6tIAdCNG2KxWMTs7CwMw8Bnn32GeDx+qO8PsmBpFj3yHrvbt28jFot1cetOHoMcSQiHw5iamqoo4PfO/npTzEZGRg4U8J/Eh3+rUISlNQY5wtIMRVHcJrKyBm13dxfpdBovX77EyspKhYlGqVQiwVKDRgLm+fPnyGazuHLlyoEamJMiYEiwEH2PzAmVYqVb4dOtrS3Mz89jfHwcH3300ZFy6AdZsDRKCdve3sbs7CzGxsaOfOwIoha1Zn/l4OnFixd48OABgsGgK14OU2d1EiHB0honKcLSDEVRkEwmkUwmcenSJViWhZ2dHWQyGTx//hw7OztQVRVLS0uuiKnlonnS8QoY0zRhGAYYYzBNE+Vy2X1fVdWKPjCDeh7SKIHoa3pRWM85x/379/H06VO8/fbbOHPmzJGXNchF97VSwoQQWFtbw6NHj3Djxg1MTU3RYKgLnORjXGvwlMlkkEqlsL6+jmw2i1KphGw22/UGev3AIEfm2slJjrA0Q1VVjIyMYGRkBADcujNd1/HkyRPcu3cPkUikIo2TXAArkc5qskgf2I/AnBQBQ3dlom+RURXZNbcbD4tcLofZ2VkAaIuT1aAX3Xv3rVQqYW5uDoVC4Ujpc8TxGNTz7LCoqorR0VG3ieu3v/1txONxWJblNtBLJBIVDfQG5YF/FCjC0hoUYTkckUgEV69eBWA3WM5kMshkMlhfX8fi4iKi0WhFDUwrJjaDTC0r6HopZFLAADhQwN/PAoYEC9F3yJxO0zS7mgL27Nkz3Lt3D1NTU7h+/XpbLnopWAZxUOAVY6lUCrOzsxgeHsaHH37YNzPYg/KbDMp+dAJFUTA0NOQ20KvVf0LO/I6MjJy4Av5BvDd1AoqwtA7nvEKA6LqOU6dO4dSpUwBsF0BpY762toZ8Po94PF5ho9wvz5B20UrvmnoCplwuu+lkP/zDP4zf/u3fxp07d7qx2W3lZP3iRN/TixQw0zSxvLyMly9f4r333sP4+Hjbli1vLJxz31j5tgvGGCzLwtraGh4+fHhoBzWC6AbVkadwOIxwOIwzZ85ACIFcLucKmMePH4Mx5oqX4eFhhMPhgT6nSbC0BkVYWqeZS1ggEMD4+Lj7rC2VSu41KKOg8Xi8Igo6aM/PaizLOnSaXC0BI01I+hESLETfIHurdDOqsre3h5mZGQQCAUxPTx9wFzougyxYLMvC3t4eCoUCPv30UwwNDfV6k040lBJ2eBhjiMViiMViOHfuHDjn2NvbQyqVwsuXL/HgwQMEAgFXvAxi8TAJluZI4xc6Tq1x2OddMBjE6dOn3ShosVh0BczS0hIMw8DQ0JAbgRnENM5WIiytIJvu9iMkWAjfU91bpRtiRQiBp0+fYnl5GRcvXsSVK1c6cgP0CpZBQobyAbTcRNOP0ADkZHCYvklDQ0MYGhqqcD9KpVJu8bA39354eLjvU1dIsDRHTgYM2iC5Uxy3D0soFMLk5CQmJychhKiZxjk0NOReg/F4vO9/m3YIFs45CRaC6BTVvVW64TdeLpexuLiIdDqNmzdvusW5ncDbSGsQEELg8ePHWF1dxcTEBLLZbN+KlUGCBpz1OU7kqdr9qFwuuwOntbU1FAqFvk9dIcHSHBIsh0Ma5bQDxhgikQgikYjbhymfz7vX4cbGBoQQfd9Ith2CJZ/PAwAJFoJoJ7JWZW9vD+FwuGspYJlMBrOzs4hGo5ienu54eocUYIOQrlMulzE/P4/d3V188sknKBaLyGazvd4swmEQzjG/o+t6Re69N3Xl3r17FTO/IyMjiMfjvh84kWBpjndCjWhOJzvdM8YQjUYRjUZx9uzZmo1kGWMVAiYajfr+t2tH2ngulwNAgoUg2oYUK7K54Pd93/d1JQVMRgauXr2Kixcvdu0GNgjNI3d2djAzM4NYLIbp6WkEAgFsbW0NxCB5EPaBaEynrvXq1BU585tKpbCxsQEAFeljkUjEdwMnEizNoQjL4eikYKmmViNZKWC2t7extrYGVVUrrkM/Gmm0I8KSy+Wg63rf1tmRYCF8hbe3iqqqXSlkNAwDc3NzyOVy+OSTT5BMJju6vmr6WbAIIbCxsYEHDx7gypUruHTpkvt7DULkqN+3X+K3h+9JpNbMryzgf/XqFVZXV6FpmlvAPzIy4ouBBQmW5lCE5XD00mRGURQkEgkkEglcuHABnHPs7u4inU67Rhq6rh8QML2mXYKlH6JJ9SDBQviCWr1VpGDpJNvb25ibm0MymexZcXi/ChbTNLGwsIB0Oo2PP/4Yw8PDFe8zxvpyv4iTRa9EKWPMHThdvHjRLeBPp9PY3NzE0tISIpGIK1562TyvXwc43UKKOjpOrdHOGpbjoigKkskkkslkhZFGJpPB8+fPcf/+fQSDwQoB04uJhHYcs2w2i0gk0qYt6j4kWIieU6+3iqqqsCyrIzN8nHOsra3h8ePHPe8P0o8D+93dXczMzCAcDuPOnTs1/eEHIcIySNBv4W9qFfDXap4nBUy3CvjpvGkOWRofjm6mhB2W6uvQNE13IkE6AcqJBFkHc9j+KEehXRGWfq1fAUiwED2mUW8Vb7Ojdj4MisUiZmdnYRgGPvvsM8Tj8bYt+yh4O8L7Ha/d8+XLl3H58uW6v00/7degQ4Opxvjx+FR3/5bN81KpFJaWllAul5FIJNwUsk5Zt1JDxObQMTocfhYs1WiahtHRUdctVE4kZDIZrK+vY3FxscLKvBORUM45hBCUEtbrDSBOJt7eKvJmX30ReXuUtOvmtrW1hfn5eYyPj+Ojjz7yRY+EfkkJM00Ti4uL2N7ebsnumSIsRD/QL+eot3me7D2RSqUqrFu9aSvtGphQDUtzKMJyOPpJsFRTPZFgGEbdSKhMNTvuOENmn7RLsPQrvR+tEScOzjlM0zyQAlaNvDgtyzr2Bc85x/379/H06VO8/fbbOHPmzLGW1076QbDs7e1hZmYGwWAQd+7caSmHtx9T3QaZfhmYE83x9p7wFvB7nY80TXPFy8jICEKh0JHWRedNcyjC0jrtihb4hUAgUGFlLiOh6XQaDx48QKlUOnYvJvkcJcFCEF1CCOG6gLVSpNiupoq5XA6zs7MA7K7rfrtg/S5YNjc3ce/ePVy8eBFXr149VFfwfh/sDMqs6aDsR6fo9+PjLeCXzkcy7/7Zs2e4f/8+QqGQK16Gh4dbTluhCEtzKMLSOvJZN6gCzxsJBYBCoeBGYJaWlmAYhtuLKZlMYmhoqOmxkAX3xz3Hstks1bAQRDO8KWBAax3rGWNQFMWNxByFZ8+e4d69e5iamsL169d9eZP0ayTCsizcu3cPW1tb+OCDD9wQeKtQShhB9AZFUdwZ3cuXL8M0TWQyGaRSKTx69AgLCwuIxWKueEkmk3Vnb0mwNKefU5y6zaALlmrC4TDC4bDbi6lQKLgRmKdPn8KyLFfA1KtFa0fBPUBF9wTRFG9vlcPOEhzV2tg0TSwtLWFrawvvvfeeG671I36MRGSzWczMzEDXddy5c+dI6SR+FWInFb+dY37hJBwXTdMwNjaGsbExAHbevax/uX//PkqlUsWgKZFIdMz0ZBChlLDWOWmCxYs3lXNqaqqimay3Fk26jw0PDyMWi7XNBjqfz5OtMUHUolZvlcM++I6SLiXrLQKBwJEH293Ebylhz549w+LiIs6fP49r164d+UY5CBGWQRmoDcp+EO0hEAgcKOD3zvpyzt1B03Ei3CcFSglrnaOOBQaRWs1ks9msey0+evTIFTmcc2Sz2WOZaeRyuUNnSvgJEixER6jXW+WwHCYlTAiBJ0+e4P79+7h48SKuXLnSF7M4fhEslmVheXkZL168wPvvv3/sqBTN0PqLfhePneQkn5+1Zn29gybDMLCwsOD2pvBL528/0U8RFnHgj33ue/8rapngsP33q2EQYMy5joSzFudv+y9h/wGlzzWCMYZ4PI54PI7z58+7IuXJkyfI5XL49re/DVVVK9wAw+Fwy/evbDaLy5cvd3gvOgcJFqLtcM5hGEZbZlJaTQkrl8tYXFxEOp1uyXLXT/hBsEhjAsYYpqen2zIgkb97vwuWft52gjgs1YOmv/zLv8Tly5dhGEZF528pXrrVOM/P+DHCIgRgAeDO3wpjEIyh1rSFCgANtl9tsm8KY2CK85kqYcPgCDqmgAGIRGO4dv1NqJruTKIICCEgfDBp5zcURXF7LZVKJXzwwQfY3d1FOp3Gy5cv8eDBAwQCgYoUskbP7kKh4DvTocNAgoVoGzIFTLqAtSPs28pgPpPJYHZ2FtFoFNPT0y1Z7vqJXtd6vHjxAgsLC203JvC6vNGMGuFXKPLUGClgEokELl265Hb+TqVSbuO8WCxW0TjPD/2tuokfIiwmF+BgsABYAvA+UXSFgXuexQK2kGAQUAAwMCcCwpx3bRjkftW4RpyXFIXB/rqwl1P9yBdwxYr9vwK6rlcZ7wgwTdsXTWJfxAj57xN8ncqie0VR3N4uly5dgmVZrhugdzLBa6HsFTAypaxfOVl3FaJjtCsFrJpGKWFCCDx+/Birq6u4evUqLl686LtZrlboVdG97E2zubmJd955x7VhbBfelDCit/TjddFN6PjUpzpCWt352zAMN31sZWUFxWIRiUSiYtDU68F8p+lFhIULgTIHDGFHURirEgvObVdXpQ4QzsvMESuAClYjsuIkhwkBRWngTMUAVWH1AzNif21CcNjyB7AsXhFNERBQWNV2OGKGyfPG8ww5iUKGc17TJUxVVTdVE4A7mZBOp/HkyRP82q/9Gv7yL/8St27dwvd+7/cinU4jHo8fe3v+4i/+Ar/1W7+F73znO3j+/Dn+83/+z/ixH/uxht/56le/ii9+8YtYXFzEuXPn8Cu/8iv4qZ/6qUOtlwQLcWy8UZVW7IoPQ72UsFKphPn5eeRyOXzyySdIJpNtW2e36UVKWD6fx+zsLIQQmJ6e7ohziDcljOg99DsQR6FZSmcgEMDExAQmJiYAoKKAf3NzE5ZlIZlMuilksVhs4ARityIslhAwOGBwwBR2fYjKGFRUCgcZLNEVxY5+VC2HwU7jqgcTjV28ZOSl2c+oMMX5/H6FDGMMqqY62ynAFMecRQhbqAA4uDP7r1UIGfkRvi+CZGPKQaJVW+PqyYRLly7hz/7sz/DVr34VX/rSl/Dw4UP88i//Mr7xjW/g85//PL73e78Xw8PDh96eXC6H999/Hz/90z+Nv/k3/2bTzz969Ah/42/8Dfzcz/0c/viP/xhf+cpX8DM/8zOYnJzED/3QD7W8XhIsxJE5Sm+Vw1JrML+9vY25uTkMDw9jenq65QZofqXbgmVrawvz8/M4ffo03nzzzY51HG5X489eIYTA06dPsb29fexu4b1m0AaI7WTQBjft5rDHR/adOHPmDIQQyOVySKfTbg8YmdbiLeDv9/OzkxEWLgTypoAlgLLzGhOAwuw/MrLi/ZUYAzRHrFTD0LgmRQH261FqwCCgqEqtRe/j1KzUfouDMTvNTFGV/Q2u+j5gCxEZbZGCpuY2MQa1Kg1RRl84530vYo7ah2VsbAw//uM/jh//8R+HEAJvv/02fvInfxKvX7/GL/3SL+HBgwf44IMP8P3f//34/u//fnzuc59rKQLzwz/8w/jhH/7hlrfj93//93Hp0iX89m//NgDgxo0b+Ku/+iv87u/+LgkWovPI3iqd9lT3poRxzrG2tobHjx/jzTffxNmzZ/v+QQfY+1gul5t/8JhwzrGysoKNjQ288847mJyc7Oj6+jnCYlkWFhcX8fr1a0xMTLjdwsPhsBuCP4m5+sTJ4zimGYwxxGIxxGIxnDt3Dpxz7O3tIZVKVRQNewv4+60GEWh/nZ4QAiVuC5WiJRBQFCiKXRzPAQiG/TSqqp9GAaB6xApznLrkx1S3XgWeV+3/txdZvR9iv+hFOGKGi32BJIvsnU1hotYyvPsGWGb5QJSkAscSnynKwWiLELaLmbMPDLXHH3ICtTo1WYqXfhIx7WocWSwW8df/+l/HrVu3ANgtDL761a/iz//8z/HzP//z+Oyzz/DHf/zHx15PNV//+tfxgz/4gxWv/dAP/RB+4Rd+4VDLoactcSjkhS7FSqf91GVKWKFQwNzcHAzDwGeffdaWPEy/0I2i+2KxiJmZGZimidu3b3el2618YPTLQ0GSy+Vw9+5d6LqO27dvuw+9crnsdgv35upLAVOrQ7Gf6LffoZsMwsRHp2iny5+iKBgaGsLQ0JBbNJzJZNyc+3v37iEajVbYtvbDpEC7jhEXAnlLIGdylLmAxhhCqgLB9ovoBYCgsl/zIYQtUqRgsOtKhGtXLDyiRK0rJJgdWam5Dx4xospl1kDAjYJwIdzyfeb8lznCxrLM5qJURqyqt8d5zfuqUuMZ492P6lT16oG/FC6WZfn2HmlZVluc+Ko73Z85cwZf+MIX8IUvfAGAPU7oBC9evHBTRiUTExPY3d1FoVBo2ZXU/3cCwjd0qrC+EYqiYG9vD1/72tcwMTGBjz76qC8eYIeh00X3r169wtzcHCYmJnDjxo2OpYDVotcOaIfl5cuXmJ+fx9mzZ/HGG28AsIuKAUDXdZw6dcptvCVz9VOplNtsT6aOjYyM+CrVxS/b4Uf8OkjxC520JVdVtSLnvlwuu/Uvq6urKBaLiMfj7nXl1wL+40ZYTC6QNTnylnCcuxh0xqCpSoXblwAQlAXpHicwwew+KQqrXbNii5H629fM1phBNI6IuJ/Zr1XZ/9sjcpxrrVw2wS3u1qswtr9+wXnTdcERRPK8rHV+Vhfk1zuH5fNXPhe90Re/RGHaEWGxLAuFQqHhZKXfU54Ha+RHdAwZVbEsq2tdajnn2NnZQTabxbvvvoszZ850fJ29oFM1LJxzrK6uYn19HW+99Rampqbavo5m9EuExZsu9+6777qOaY1+l+pcfZnq8urVK6yurkLX9Ypmeye9VwXRf8hrt1uCV9d1jI+Pu01ri8WiOymwuLgI0zQxNDTkXlPxeNwXYvyoRfdlLpAqlmEJQFEVKAAsMLuQ3umZIutVBADNiawI2CIFsOWAJiMINQ6FjJzUO0rHFisCYKwFUSucfi2MQXNsjd23nOiMcGyWhbcmqEZ9i1esNKL6N6klYKoFOWOsZhSml7Uw7RAsuVwOALqSXVHN6dOn8fLly4rXXr58iUQicaiebyRYiIbIUKlpml1JAZPIRoalUgmnT58eWLECdEawFItFzM7O9jyFrleWzYehVCq5x+qo6XKMMSQSCSQSCVy8eLEi1cXbq0IKmKGhoa5GugCKJDTCD4NeP9JtwVJNKBTC5OQkJicnIYRAPp9HKpVyrysAFeljkUikJ9taz3a2HmUukC6Z2DMsRHQVTGGwpA0xmC1MHGQ6mO5JA/OiMaf63v50hTBhABQoB5y2JIqsPzmAU7TiuHjhwL1jvyqmFbMdr8Cwm0jWXqcUGBXvVtWtMKBpBKZeVLD6NXl+NzvPGWMVmR3eYv5uZBD0u2C5ffs2/uRP/qTitT/7sz/D7du3D7UcEixEXXqRAgbYhWCLi4s4e/YsVFV1U3IGlXYLlu3tbczOzmJsbKznKXR+j7Ck02nMzMxgeHgYN2/ebNuxqk51MQwDqVQKqVQKS0tLKJfL7kzxyMhIx61eaUBeHz+fn72m14LFC2MM0WgU0Wi0ooA/nU5XRDWleBkZGelaAX+rERZLCKRLFvbKFlQwhHUV3LlHqoy5kRLv04DBI1aEHPzb43hVYVAUb/f6/X+r8P5uB38/ta5YsV+3a1bq17xAuCUlbl2+czQqlmIHfiprSg4KrwZRHFm3IvZXyL3XbFWNSqspjPU+Vx2FqfU5GYXp1r3jsIK4FrlcDsFgsC2uqtlsFqurq+7/P3r0CDMzMxgZGcH58+fxS7/0S9jc3MS/+3f/DgDwcz/3c/i93/s9/JN/8k/w0z/90/jzP/9z/Kf/9J/w5S9/+VDrJcFC1ET2VulmVMU0TSwtLWFrawvvv/8+xsfH8fDhQxQKhY6vu5e0q85DCIG1tTU8evTINy5qfq1hEUJgfX0dKysreOONN3D+/PmOHqtAIIDTp0/j9OnTB2aKHz9+DEVRKupf/J5LTJwsen0fqYW3gF9GNWXTvKdPn2JpaQmRSMS9rpLJZMcs8JvZGgshsGNYyBiWW3+iaQrABFQAFgC9IlICV8ToCoMUCBzuP+3XK8TKPpVipcb7DcWK1AUNfnMhKj9TkY1W+S8mRZTTN6ZcLkNRVI/xWAtirzpC5N02mSLn1Kx4i/Dr7UMjUVNdsO/92/u+1yW107QrwhKNRttyLX/729/G5z//eff/v/jFLwIAfvInfxJ/9Ed/hOfPn2NjY8N9/9KlS/jyl7+Mf/gP/yH+5b/8lzh79iz+4A/+4FCWxgAJFqKK6t4q3RIre3t7mJmZQSAQwJ07d9wBWy+aKnabdqRNlUolzM3NoVAo4NatW0gkEm3auuPhxwiLaZpYWFhAOp3Gxx9/fKTGWceh1kzx7u4uUqnUAfvkdjol+e138BN+HJD7AT9FWJrh7fp95coV19UvnU5jbW0N+Xwe8Xjcva7amZbZqOg+W7aQLpngArAEoAqBoK4CEDA5YEEgrKn2oN8ZSAvY9R6aori1KsC+FKiXHga0Q6yIhgX6kCldjU4JNxLE9rfbqaNRVQ2q08fFbRzpecYfiLTUSWc7uFnCtnOu8bq77DoRk3rLq/c5wzC6ej9th2DJZrNtaxD9fd/3fQ33/4/+6I9qfufu3bvHWi8JFsKlurdKJxpBViOEwJMnT3D//n1cvHgRV65cqbjxnxTBcpx9TKVSmJ2dxfDwMD788ENfuaj5rYYlm83i7t27CAaDmJ6e9kXPB9lIL5lM4vLlyzBN0y00lk5Jx7VP7ocBJ+E/+kmwVFPt6lcqldyopjctU04KHMeWvNbg1uQCz7JFWGDgsAfKAVWBqjCYXA7CgbCqwG5tIsCd8InK6jd+1JiMuFTeVwVssSJrPWpGXtx0syobYFcTCNvguEHNymHFyoG3hXBSxJo0jpQuX62MQzivKVZQtR0yEtbMPayRAC2Xy11/pkmzo+MgLY378VqW+GdkQ/SMbvdWkZTLZSwsLCCTyeDmzZtuvr8XVVXdGppB5aiCRQiBR48eYW1tDdevX8e5c+d8dzPyU0rYixcvMD8/j/Pnz+PatWu+tEcFAE3TWrZP7mWh8aDgJ0HtN/pZsFQTDAYrCvgLhYIrYGT6SjKZdK+tw1xX1QPcTMnEVt6ArqrgQkBV7GaOjDFw2aUegK4oEJAF9/a6VAXQmOI6hDklIs57++lP1WiyuAXVcsT5bqOBP5Md7hvVrHgiKwLYl0T7W1irZqUaO3WriXUxq9E4UooY9yOyrqe1+qF6dUa1jmW95XU7siJpZ0pYP0OC5YTTq8L6TCaD2dlZRKNR3Llzp67lK0VYamMYBubn55HNZvHpp59iaGioQ1t3PPyQEsY5x/3797G5uYn33nvvQAMrv1Ntn5zNZo9kn9zr34HoPwb1nGGMIRKJIBKJ4OzZs64teTqdxuvXr7G2tgZN0yomBhrVlcnBsMkFNrMGipYFXVH2i+OdZ6q0KuZODYuoXIgdWYHi9mB032dOGlgdvGKlFg3FCqRYaVyzUhFZOSBK9ovw7cL/yhJ8WcsCAGbZQCTcOGXZtTWuqlWRaWUSzjkUZ1KsUUbIYWpW5DOruuFkr8SKtFImwUKC5UTTi94q3qjA1atXcfHixcY30hMgWA4bhchkMpiZmUEikcD09HTHCknbQa9TwqS9s2mauH37dt/fsBljiMfjiMfjuHDhgi/tk/uRQYggdIJBirA0wmtLfuHCBbcHWDqdxubmJpaXlxEKhSrqyrz3Xc45clzBw90iTIsjEtBgCjstLKopUJgCSwiYwm4KGdIUcCGgMDmpAygKswff1Z0fOy5WmvVZabFmpULE1CrBB4Tg4FzANC0IbhfuV297TbFSc7M8ERNWFXlyUslkAf5ha1aqXcd66VQqJ5NJsJBgOZH0qrdKqVTC/Pw8crkcPvnkEySTyabfOSkpYa0M6r3OVteuXcOFCxd8P5DoZYQllUphZmYGY2NjePvttwdy4F7PPrk6Tz8Wi1XMGhJEK5wUwVKNdO0bHh5268oymQxSqRQePXqEhYUFxONxu3g/mcSeEoQlVMSFQFDXYHDb4SuqKuDYt+FlAEKaHBTbXVOEsEUHk7UpXhgQcNLAKuMZwqlZ2R/Ye1PH5P8rMiJRo94FsMUKGIPgAlJ1sHQaytoamGlCDA0BV68AjWr9ZM1KQ0UjBYECTdegOnWWdpaX2N8ieX9qQazUPCerXMTk+KZZzUoji+NyudxwWzqNnMxsh2DpRQ+WdkKC5YTRqxSw7e1tzM3NYXh4+FBRgZMQYWllH8vlMubn57G7u9uy2PMDvahhEULg8ePHWF1d9W1tT6eoZ5/86tUrcM7xV3/1V2SfXMWgpj21AxK4NpqmYWxsDGNjYwDsybd0Oo2XqQzWNl7AUjTwTBoKE4iEQgjoASeKAgACGlMchywnggJAShApVoRgcM2/HIWiedOVPNsjwA5EVqrPYoXVj6zYAkPAkSzuq8rqGtRvfhOwLKCQh1osAt/5Dsz/+X8GvM6TTsRFSqxm54j3PKpuHCnllhsxkXl0cp+qREzL56Snrqhew8j93akvVnp9f2hXBgwJFqKv6EVvFc45VldXsb6+fqTeICRYgJ2dHczMzCAWi2F6erpujYIf6XZKmGmamJ+fx87OTl8Ju07gtU8eGRnBN7/5Tbz77rsdt0/uR2hQXhsSLLUJBoNQ4iPQ9RjOKwpePHuGeDQCyzDwKptFAALhUBihUAiBUAhqIABNrYqgCAGNMae+hYE7mWDCESuBOj1WgOOngR2M2QCsWID6rW8BlgXBGFRVAyYmgHIZyswsrO/9a5UL4YAMrwhPBMmuMzlYF+LZ7YNpYEJA8Vo1e6JG3qJ7LsR+xKhRJKaBy5e9yErxU8v62A9iBWhPwT1gC5Z22Rr3ipP5dDpheHuryFmMbjyECoUC5ubmUC6X8dlnnyEejx96GSclJayWYBFCYGNjAw8ePMCVK1dw6dKlvhs8dDMlbG9vD3fv3kU4HO47YddpZE52PfvktbU1FAoFJBIJNwKTSCR866RGdAcSLAfhQmBjt4i8ySGYggBToKsKgpEoQoEQogEGwyijUDJQKJWws7ODYEBHKBhEKBhAKBSCqulQFdnV/mAamN5ArKgdECsAwJ5uAqYJoShQC3kg4Ri5KCqUzaewjDIQ2M+MYKxG5ML9W9iaQnAwpuzbE8OuY6kQMKgSK3Wo6fIlncOcqAxTlKZixbs8b82K9/Ve1qxU0w5LY8AWLJOTk23Yot5BgmXA4ZzDNM2up4BtbW1hfn4eExMTuHHjxpFnCE5ChKVW2pS3ueFHH32EkZGRHm3d8ehWStizZ8+wuLiIixcv4urVq209xwd1wFZtn1wsFpFKpZBKpbC5uXli7JP9MIvqV0iwVGKYFh7uFADGYAEIKwo4AzhToDOBSECxm0PqAcT0AIbjcWgKQ8kooVgykCsUkd7dgyo44vE4gsGgHa1RnOdjVYG9cOtD4KRgycaS4oDksBO89iMHByta5D9Z9Ss2pgnBLSiFHJD0PG9k0INbENCdl5qfFwzY3y93G4XjtsXBIcAcs4GmYoXXsUH2OocxuwElg1P34RTd11xeg5oVP4kVoL0RFkoJI3yJt7dKtT1fJ/FayL799tvHVvRSsAzyg1POnshUvd3dXczMzLiRAj80NzwqnY6wcM6xvLyM58+f44MPPnAH3+1mEM6/Zr9DKBTCmTNnjm2fTAwW/X7et4vdUhnru0WAKdAYENFVcGGnbjHOEdB0cCGL3fcjHYIxBIIhBIJ2vZgCjrJRRqlkYC+bxevtbWiqilAwgGgkDDUchsLs/iz7EQvbehiKAu55zYsGuG5ZNlW/m0CFdTGXvVOcL/CREWgvX4JFohC7O3ahfSAAZlkQo6MQznOoFbECgZpigYFB03SoquqKMLven7tbXF10X1esVK+yxufsrLWqgn7UPqf9KFaA9gmWfD5PgoXwH94UMABdEyu5XA6zs7MAgOnp6bbkS8oLlXM+kC5PQKVgkRaaly5dwpUrV/p+sNDJGpZCoYCZmRkIIXD79u2O5ecOglg57PbXsk/e2dlBKpUaSPvkfv99O8UgnPvt4FW2hOfFMlTFLlIPqIrdNV4IW7RoTlE9A0whoEKxIwdVokF1+mloYRWhUAgC9oC0VCrBLBWxu5dFOrOLQEBHMBBEMBREQA9AU5itguqgAo2jFE66lPcTbp2JfPHUKVjf89egrK06Rf8MKBQhTBPW2287434OJoUUq5VYBscGubFNctUWwLskO8vLFjCCO+lismal3iIbiRpPXYzb6d6JwEiB5Ac3sHq0S7Bks1myNSb8hbe3CmOsaznoMiXn7NmzuH79etvW6x3M9/OAqBFyHxcWFpBKpXDz5k3Xprbf6VSEZXt7GzMzM8dOOSRaQ1VVV5wA9e2T5WdisRgNdAcAEizA090i0sUydE1FyeIYCumwuIDBBTQAYc2elOGMwRR2l/r9AnsBBU6EhDGAKbCAivAIU1UMxaKAM/ttmiZKRgmlYgm5VA6mYVSkj+m6VjF4V9FEcAsBpjQ2HWaOpbF16xbEyAiU1VWgUADGxmC9/RbE2ClncO9xFeNwG0R6l602ePYLCHCnhqXx9nhcw+ARMU75jeKNwhwlAiOL7uGkzftUrADtTQk7Sh2xnyDBMiD0qreKaZpYWlrC1tYW3n//fYyPj7d1+fKGZVmWrxskHod8Pg/AriGYnp4eKKvZdtewCCHw8OFDPHz4EDdu3MDZs2fbtuxBp53CsZZ9sizgf/z4sdvHoh/sk6mGpT4nWbBYloX1vRKyJgdTFQgIxIMaytzuSB90iubLAoATUVDBEHAiIVzYw3kOaU9cOyQRqIrEaJoGTdMQjUTBIGBxC6ViCSWjhL29PTAGBBzxEgoEoOqNUzNtsdKgCN8bvWAM/I03wN94o/IztZpLMvc/rv2wojBwWXDvipnKJoxm2WwcgXE+Vx1RYZ7j5/ZvkQX80j2sUc1KLVHjZKP4mXZN1lLjSMIX9Kq3yt7eHmZmZhAIBHDnzp2ODErkvgxq4f3m5ibu3bsHAHjvvfd8PbA7Cu1MCSuXy5ibm0M2m8Wnn36KoaGhtiz3JNDJ+4HXPvns2bPgnGN3dxepVArPnz937ZO9Bfx+s08+qYPyZpxUMVe2LDzcKaLE7Sl9XQE0p4DcLoq3myACTr2oWUZAYdAUHIigaDIlu8YppgGAYPuFJB5kupKuadBiGqIi6hatF4tF7O3sIGNaUDUVoWAIoVDQdiBzBrdu3QsYBDj2q+ft/zB745sWvDOgeQRD2hLL71SJGekaZpkWuOBuZKbmomQDy8ZrtNfpHchLxzCveJGF+PXESrnsSVHzJ+2IsMhJJaphIXoK5xyGYXQ1qiKEwJMnT3D//v2OuDJVM4hOYZZl4d69e9ja2sIHH3yA7373uwM5OGhXStju7i7u3r2LWCyG27dvd63gmwayh0dRFNc+GQDZJ/cxNa1kB5xcycTqTh6qokBXFFhCIKCqdjSFC7ugXlGhMFsQmLDvE6qiHhj8q2B2hMPTp0T2WlFtGy17MF+1DW5tBarH0wyBgB1dGUkmIYRAqWSgZJSQy+eR3tmBrmkIBAIIB4MIhkJO8btnu4QtCpgbPROynQrA4PqP2d+qE5nwUtUIsh72shj0QBBgSlUkhsGjcZqKFQEBRa2O+BwsqBecu39XFPM7YqUfnrntTAmjCAvRE2QKmHQB65ZYKZfLWFhYQCaT6VqthaIoA9WLJZvNYmZmBpqmuZGpbjdY7BbtiI7JKNTly5dx+fJlEhHHoBcpPq3aJ0sB02375EG87trFSTs26YKBx7tFBFQVnDFwwRHVdZjOzL3G7IJ7AdvdisMOjgTUfbEiO7kzAKpip4bJHosSrcoJq5pmAkD1DM7tyIrt4MU5R6lkoFjIYXdvD1YmA13X3fqXQCDg1o9UpIqxStcxmeLleARjP52NVW62QN3okRfBbbGy71jqrLY6EiMEGOy0Minaqhct0JpAqhlZcX5Hy+lJ1w9QDcs+JFj6kF6lgGUyGczMzCAej+POnTtdm+VWVXVgIizSnOD8+fO4du2aO3s5iFEk4HgRFsuysLS0hJcvX+LDDz/E2NhYm7euNQZBIPlpH+rZJ79+/Rpra2uufbIUMGSf3DtOUg3Li70iNrNFhAMBGJwjrClQmIayk2Ika1Ysz+1MAaApDMKpa2GwRYwQgKravVqqUWV/kBqHVQDQWf2mkYCsh6mNoiiIhEOIRsIA7BSsYqmEUqmEfD4NzjkCegDBYADhcBi6rtf8fW3rYvkvz8a5URHnBeYUyDeokhFO0b/97/r3Iu978hMylcyzAXZRf7NzskHfln4SK4D9HDzuPdA0TZRKJUoJI7qLZVl48uQJGGOYmJjoWgrYo0ePsLa2hqtXr+LixYtdfYgNwmDesiwsLy/jxYsXNc0JBmEfa3HUyFE+n8fMzAwYY5ienkY4HO7A1hG9ppF98sbGBu7du9cV++STMig/LCdFsKylc3hdMBEJ6hAAgppiR0mYYxmMyjoOO9rCoKsMpiUATYUFWYrCoKm1RYcCJzpS55BqrYiVBj+HjEpIVE1FVIsgGo1ACGfgWsijbJp4vf0aDMwp4A8gGAxBc1LfmlWQyCQumbYGsR+Nc4Mmshjem6IleE2t0bCUxlUv9u/BbWsvT5SmMlrV6Jy1ymU3TaxfaEeEJZvNAgAJFqI7eHurpNNpMMZw+vTpjq+3VCphfn4euVyuZ4XO/Z4S1srge1AFy1FSwl69eoW5uTmcPn0aN27cOHE59J3E7wPQWvbJsv6F7JO7j9/Pl+MihMDsy12UIRAN6m6qka4qUGDXrIABAc0eMMo7EYc9028JgAt5f2MQAgjWECuyEFx30smYONj4Udof10NhAK/QK9Wd7IVrB7z/sqcehQEBXUUwMORuk1EuwyiVUCgUsbOzC1VRoKkqYrEYAsGAXZdTg9quYfupXQAcZbG/72AA5wfPp1bPMbumpiKXzPn+ft8WyJqrGsuzHAfVfqMdgiWXywEgwUJ0AdlbRV5smqZ1pcnR9vY25ubmMDw8jOnp6Z7ZCvdzStiLFy+wsLCAqamphv1pBtUJ7TD7JYTA2toaHj16hLfeegtTU1Md3rqTQ78OOgOBACYmJjAxMdEx++R+Sg/pNoMsWCzLwjdf7EJTGKLBAMpcgDGBiKbB4AIWHPtiTYECwBICJgAIIKwrcjy+34uEAQFmvyJbNMqieQEgoCiwRO1jqTBANHDGUpjHlcx9tfLTCmpEZ5xz246I2L5hQloBQyCg6wgEdMTjcXDBUSoWYZZNZLNZlNNlaJpWUf+iKEqLhfhyEytFDBcCpmnZwsW7801gDVLJAJmWZodp9i2PbbGpOM8g3qeTnu0SLOFwuO/7lZFg8TFCiAqxImtVVFVFsVjs2Ho551hdXcX6+jrefPNNnD17tqcPrX6MPnDOcf/+fWxubuKdd95pGg0b1KL7VvfLMAzMzc0hn8/js88+6/viQKL9DIJ9cr8xqIKlWC7jfzzfQ0RXEAnoMCyOkKaCMcBwlIgKgaCmwuKAxWS0wG4UyV3hYbtt8XIZOmPg+1ZbFQQVBaKOHGGscZE9k2KlzkcE9tPWGsHc3if7HVLkAoTjFBYKh8FCQCIRh8U5ykYZpVIJu7u7ME0TqqYiEgojFArZBfx1xUadHC8hoGm6IyyczzgNKL0Chh1YVPMUNXuPPDUwzncsi4Nb/u610oh29GHJ5XJdNzPpBHQ39ymNCutVVe1YilShUMDs7CxM0/TNwLHfUsIKhQJmZmYghMD09DQikUjT7/SjKGuFVorud3Z2cPfuXSQSCdy+fXtgG4T6gUESxfXsk9PptGufHI/H3ehLI/vkfn+Qd4pBFCx7JQNff7aLZEhHwOkaH1SZe6/SFABCIKCpdoG9Z/fDKnPtfgUASwCm4wrGmSdlyYOmoK5YAdt3/KqFAKA2ECtAc7Ei0Nx1DPC4hjl6S1FUBEIqgsEgwOyUqkKhYF9nGaeAPxDYj8Doulu3Uq8ghQunmL8ibc3+j7e23nufUluIwFTXyuy/LPparADtq2Hpd0tjgASLL5FRFcuyajqAdUqwvHz5EgsLC5iYmMCNGzd8Ez7sp5Swra0tzM/P4/Tp03jzzTdbPoaDLFjq7ZcQAk+fPsXy8jKuXLmCS5cuDdzgyC+chON6VPvkQRJxnWCQzp1X2SK+/mIHk7EQQprmjK/tugdNYbC4gMkFwroK964lBFTGoDGAVxfFMzsSEwgEa4oVBbVFjERrcmg1ewF1kT1MGtFS9AW1t9MbqVBUDbF4AoCsqS2jWCggn8tjZ2cHqqpCURTEojEEgwE7ull97giP61ej88oRPooie9HILwm32H9/kXXECgQss/Op852mXSlhg1DvR4LFR8jeKqZTHFbPrrjdgoVzjuXlZTx79gxvv/02Jicn27bsdtAPg3nOOVZWVrCxsYG3334bZ86cOdT3+2Efj0K9AaFsnPnq1auu9fMhThat2icDdn8pcqI7yCBFWDZ28/jOiz2cjgUR1TWUuIAGIKJrsISAYXGAC8SyO7BMC0pyCCwYdBpDApwdjM4pAjKn68B7DE5zSADeGIt01VIYIAQDqvPH5LLl+96mk0yW18NNlZKbUAuv4KiHbWHcvDmk9zxgjEHXA9D1AOIJp4DfKKFUKGJ3dwclw4Cu6YhEIgiGgggGglA1FUIAnFvNbYkdsVK5I3JrZQqbLX4UVvEB++uwHcEGATlxfRwGoWkkQILFNxymt0o7BUsul8Ps7CwAtJy+1G38nhJWLBYxMzMD0zRx+/btIzlxDGrRfa0alnw+j7t370JVVUxPTx+pUJo4Gic1mtDIPhkAvv3tb7v2ycPDw0gmk76JMPeSQREsK9s5zLzOYioeQDSgo8gFAgpDQFXdmhXs7GDo//vfoKTSUMJhWPEErOvXoTpOhQcL2m3Xr6IJCMvyRDsEOAcUhTlF+gevORXsQDNJLwoDOJhjk1y5TvmXymwjAADu51jVGJ85RejV7+0vTwBNBsOy1qTRWcAYEAqGEAqGMISk40BmoFgoIJNOo2SUENCDAAQCwaA7IVt7ha2lsAlhp7FJAePuJwSEj8cLh6VdERYSLERbkB3rG0VVvLRLsMgmhufOncMbb7zhW/tYP6eESQve8fFxvPXWW0e+sQxq0X11hGVrawtzc3NNXdOI9jIIg8524rVP3tjYwCeffIJ8Po9UKoXl5WWyT3YYBMEyv7WDhe08LiTCCDkmDCGVQWWKO+BXy2VEv/z/gqXrME+N24rBMKB/59tQQzqsa2/YC3PqVeD0YeFCwOICTHXqXRxFoasM9Z5YTAB2QKN+WKR5p/tKreMmTHleVJhsXOkVNU5KFWxrZo0xuDqrBsJtDtmY6vcZYwgG7MjK0JAtYAqFPHK5HAr5Ah7vPUYwGEQ0EkEoHEYwEHQL+Blr1JRlf4erC/7lV7jFa4rEfoRzDiEECRYHEiw9xNtbBWi9Y/1xBYtpmm46Tq0mhn7DjxEWIQRWV1fx+PHjtljwDnJKmLzprqysYH19He+8847v0g4bQXUOg4v8XXVdr7BPLhQKbv1LtX3y8PDwiUkf6/fz/n9sprG2U8T5RBiRgObWqahMhSUEdFUB5wKBjcewgkEgFN6POASDCOztAgsLEFevgcOOaFgCCCgM3H1WV4o6ldUXK0IAusLqF+GjeV0LY6Lh9+1tsNPHKtZtf9uJSNi1LbZgE1URGuZGZ1ijfDO5PS3U0TDGEIlEYZqWk0YWh1EyUCqVsP16G0bZQDAQRCgURCIRh64HmmqWWgjOgQF6jspxT7tqWPodEiw9orq3CmOs5Zms4wzgd3d3MTs7i0AggDt37vRFOo6iKK6o8wPFYhFzc3MolUptc1IbVMEiz9Vvf/vbKBaLvnGeO6n0+wC0U1Tn50ciEUQiEdc+eW9vr8I+ORQKudGXQbZP7tcIC+ccX32SxrNsCZPxIIbD+n5BvabY9SFgMCyBoMoA04Qd2lDALAtqLgvNLMOMxSEsAdPijpBhUFl10ff+emWNfL2rLNBErKg16jGqYbX6rXiQPV0aUT38rYzQyLwz7kRj5BY7pfneRTdsUX8Q4Yg7VVERDocRDoeRTCZhmiYKhTzKZRMvXr6CZZkIBYOIhCOIRMLQdN1dTd0iezFYqWAA3DHBcQVLPp8nwUIcnnq9VQ7DUSIsQgg8efIE9+/fx6VLl3DlypW+eRCpqgrDMHq9GQDsZpqzs7MYGxvDzZs32zZQGVTBUigUsLOzg/Hxcdy+fXtgB3Z+p1+udT+iKAqGhoYwNDSES5cuHcs+ud/oR8FiWhb+7HEK20UTY+EgJqIhGFxAcI6hYACmEDCcW62uOLa50Si0TBowSijHE9ABmGOngHweIhp1B+VM2OlelYJBuLUiaoNUsJqNHT0whoaDf1m30nAZnv/W/0zziIj3k/uCzBONcdLEFNbK0jyfqNNTRdM0xB0HMsA2wSiVSiiWStjZ24MQ3E4xCwURj0UPPkcEIHw0qdku6jnFHhayNSYOzWEK6xshazpafZiUy2UsLCwgk8ngo48+cp1x+gU/pIR5u7B3opnmoBXdS4H88OFDBINBfPDBB3038CEGn6NEnOrZJ6fTaczPz4NzjmQy6QqYfm7Y1m+CpVQ28aePX2PX4EiGdEzEgzAcN7BgUEeJ7//eCgSCqgqAwTwzBePsObDdXWh7u+CJBFAsAoyBX7vmComgdrD4ngsBwS3oip2qxTwD/IrIhVNIjwOSxhY7dr8WbxPE6k85kROBms5gdr+VGl88sJyW5UXd953SFmdPBGSfSG9KWa2lSQvpZmvVdR26rjtRAYGSYaCQz6NUMrC3lwVjQCAQQDQSRigURg1LhIGgHQX3gJ0S1m/jvlqQYOkSzXqrHAZ5ArfSATWdTmN2dhbxeBx37txBIBA48np7Ra+jD6VSCXNzcygUCrh16xYSiUTzLx2SQSq6lzVS29vbuHz5Mra2tvpq0DPIDMo51m6Oc362Yp8s619GRkb66h7cT4IlZ5Txp4+kWNEwFQ9DYXYKU0BhMPcbq0BntsNXWY6+dR3WnTvQvv51KOkURLkMBALg169DXLoEANCdw8CcvuxCCLuuhXMIAGXO7ILxGuhOY8na8REBzUkVq3d5usEX5wNCSEvl/WG+a2EsHOFU42dTWoiHKHW2snp7qi3J9qMxlT1TFKfmxt58UWf1DT3I3AJ+OMsolUooGSXsZfNYuncPVrnsXmNDQ0MDE8lvh6UxQDUsRIu02lvlMEiR0kh9CyHw6NEjrK2t4dq1a7hw4ULfPHiq6aVLWCqVwuzsLIaHh/Hhhx927EbYa1HWLnK5HO7evQtd1zE9PY2dnR28fPmy15tFEF2hkX3yxsYG7t2711f2yf0iWDIFA3+2nkK2zBHWFVwYiiCgMpQsjoiuwhL2wFllDGUL0DUFVtUgmScSUP/GD6OczgCGASU5BARDsIeLAhwKuKeBoUS6ONU7TI2K8AE7VawRAgedh6W5l3yfCTv6Irh8TTgiR1Q2hWTNLb9amdJodk7sbxNgCWd7BGAYJSiqVza1mp5Wue5QKIRQKAQmBIbjUaTTaaRSKdy/fx+lUgmJRMK9xvo5RbNdERaqYSGa0q4UsGrkxVcvTUpGBPL5PD799FMMDQ0de529pBcpYV7B98Ybb+D8+fMdfXArioJynze6evHiBRYWFnD27FnXJpsctvxBPww6e0Gnz02vfTIAGIbhDq689slydjgej/vqt+oHwbKVK+K/radQtDh0RcGbo3EIAEXLLrCHsKMjBgdM2K9VixUhBMKqM7QfTsLisCMiwk53CtRIBZOoEDBZnUGlY2Fc9yxz26A0K8Svz37zxH1c/zKx7wqmMDt9DZ7PSzEjnP9p9ktLd7FmsKpifNdLQNHAFNuhDUI4dTBo0uelke+yhUAg4Dr8AXAd/tLpNJ4+feqmaA4PD2N4eLivLMrbmRJGNSxEXQ7bW+UwMMbqFt6/fv0a8/PzGB4exp07dwYiNNrtCIthGJifn0c2m+2a4OvnCAvnHCsrK9jY2MC7776L06dPu+8NWm0OQRwH7+Cq2j55fX3dl/bJfh7cPd0r4v+3kUKJcyhgeHMsBtNRBwEF0JkCgwuYjjANqGx/IC2EXXDvFISY3q7znl0ONiik1xlQZErd6EqjfixAc4vjVo68xtCazbHn/3mFgtrv07IfgGH7IsODra2aKyhRV4DsC2CZVsad79ivOX1imEwoqy9WGDdrvhMOhzE1NYWpqSkIIZDL5VwB8+jRI/cak9eZH66xerRLsGSz2YFw5+z/0azP8PZWkQVmnbjhVwsWzjlWV1exvr7ekaLwXtLNwXwmk8HMzAwSiQSmp6eh63pX1tuvA/tSqYSZmRmUy2Xcvn37QNh5kGpzBgH6LWrTi3vlYe2Tk8lk1+5HEj9HWB6mc/jLp2mYwu4qf2U4CsZsL66AyqBAqSqytxslKo4uKQvAsgQUCAQ0tWYUxK49qTNglmlYovagupVUsEZXowCgNorOONvAm3ahb963RUq1SkewShFju5Q1Tq2SR6Le2uSxqo7A7H+fuUX9dhqZgMLgETDO9orqGFmd/WIMsVgMsVgM58+fB+ccu7u7SKfTePHiBR48eIBgMFgxSeCnGrN2poRRhIWogHMO0zTbngJWC69gKRQKmJ2dhWmaA9nnohspYUIIrK+vY2VlpSc1P/04sE+n05iZmcHIyAg++uijmtE8SgnzB34ddBL71LJPzmQySKVSPbNP9qtgub+dxdefZVC287ZwNhZCWFOhKwyGxZ3GkPufZ0IgoqswAZhW5f0oqKk1hQUTADtgYbyPrtiDas4tp2eJHNjvu2Yd6N4oEcLp6K44vUwq1gxARk7qUysV7MBn0NwVrNn3nSwyqAywnFqUSlGyX+BfT4jsb7OdoFY/ArOPbFrJ5YbIdTMB5YjPFEVRkEwmkUwmcenSJViWhUwmg3Q6jfX1dSwuLiIajVbUmPUyS6UVY6VmyCgT1bAQAFDRW0Xe4Dt9k5eC5eXLl1hYWMDExARu3Ljh6wLOo9LplDBp+7yzs4OPP/4Yw8PDHVtXPfopJcwr7prV9wyKYPHrwI04Hn4+NzVNw9jYGMbGxgD0xj65vg1t75jf2sW3XuyAQ4GAwFhUx0Q0BEtwFEwLiYBmF3oLAV1RwCEQUBUYNX7qoKrUjYIEVOb0RRSulbAQdh2IygBD1pIKBs4UlD3nUoAxJzWt9vmlMsAE28/NqkrRUmBbBjPFE1Vwwhyy4F5ljWIZ++tpdobLdTVbjhQisibGu71MeIr7G2gWzoXt3NZkffUaUgoGqKJ9z0lVVTE6OorR0VEAdjq4nCRYWVlBsVhEIpFwU8iGhoa6ej1QDUslJFiOiTcFDEBXxApgD3DX19eRyWTw9ttvY3JysuPr7BWdHMzv7OxgZmYGsVgM09PTPQsH94tgMU0TCwsLSKfTLYm7ftmvQUfek/w8QCcaU88+eXt7u2P2yX44X9jWFtRvfAMQAt+69i6+aahQwWABiOoKLg1FUHQi8HFdhcUFNFWByQVKnCOo1E7NUr3jfTngZgzciVyULAHUsCm2AyPeIvzKyQzVccaqNwzwVMrU32eGitoOZzXu33YqmBNtYJXRDjj7gRZTwZrdnT0VJ3XhVb1X6kVhykYJTGk8ALcDK7XXp7aYCnZUAoEAxsfHMT4+DsDOXpFNYp89ewbTNN0C/pGRkY4X8LdTsAxC5g0JlmPg7a3CGOua8s7lcsjlciiXy5ienkYkEunKentFJ1LChBDY2NjAgwcPcOXKFVy6dKmnM+j9MLDPZrO4e/cugsEgpqenEQwGm35nUCIsxGDTb9GzRvbJT548ce2T5cDqqPbJvY4sav/xPyLwe78Hlsnga7f+Gr45LaCcOwdzfBwaBK4Mx2xhASCkKk7diEDJsu+lCgRU5WB9iuAcgYD9OhcCJpdNHu3ohq4qdcfoAa1SAFWUsAin+3uDQya7w9d/v7mIUJR9968DBfTCLl5Xme1A5tm0Q/+WMhWs0f4AcGJdXslSOwpjOQ2v62WOCdRPK1OEQLdjfeFwGOFw2J0kyOVyroB5/PgxGGMHTDLaeb20Q7AYhoFyuUyC5aTSid4qrbK5uYl79+4hEAjg4sWLAy9WgPanhHmjBB999JEvOsD6vej++fPnWFhYwIULF3Dt2rWWz3cSLP6CfotKBuV4NLNPNgyjYma4VfvkXgoW5bvfReB3fxcwTXz1R/7P+PZbH0HXAihvbUEJBHD1ypSd0QC7A70ChmLl6B0RXXNrWRhz0p+EHYEpWgeH1QAQaJAmpjPZrd6LAHOG0rrSWIw0S9GqU79fuYwmxfqQ+wmG6keKIvuysP0+KY1qTmyx0ixK0zySI3dL1QMQCnNqYbw9Ypi7TfW2p/6v0h28Bfznzp1zTTLS6TRevnyJBw8eIBAIVAiYVib1GmFZ1rEjpblcDgAoJewk0qneKs2Q3cNfvXqFDz74wPUXPwnIgvR2PDx3d3cxMzODcDjccpSgG/i16J5zjvv372NzcxPvvfee63XfKn4XYieJfosiEEenmX0yY8wdVDWydu2lYNH+638Fy+Xw//mxv4P5a+8gEA7DKBlghoHLu68R0s4jqCgwOYfm1ozsE9EUWMJuFsmFQNmyh82aUj+CEaiTPgbAjp7UEDN2nU8LHeJF80hFo22Ty2gWZmAN1uPqOc/fXhGDA6KhNSHSDBmBEcKuYbG/6xVeHgEj9gWMpNOpYEfBa5Jx8eLFmlHOaDTq1r8MDw8fuoC/HRGWbDYLgATLiYNzDsMwuh5V2d3dxezsLILBIO7cuYNQKITnz5+fmIGgt1HmUR07hBB4+vQplpeXcenSJVy5csVXAzg/poQVi0XMzMzAsizcvn37SDc8vwoxgvDip3tBu2lknyytXevZJ/dSsLDtbfzp538E89feQTAYRLlYAg8EcLaYxXj6FUzGULQ4YgG1UqwIYad0ATC5gLm/REAIaLJxYfX64ESE62xPvQJ94QzwtSY2xrZFcf1jyeAIigaHu9k6ADulrFUbY6CGiIEtYmSLGvc7tdK0WoiuMI9YqVeRL3d7P3q1L2A0NNVovqA6ylkul930Ma/Ln7eAv5kYaYdgkQX3fjPPOAokWFpApoBJF7BuiRUhBJ48eYL79+8fGGSrquoW+g868oI96oBeRqdev36Nmzdvuo4gfsJvgmV7exuzs7MYGxvD22+/feSbprfYe5AHhf0CiUfiMPbJpVKpZzOzf/rJ53Fvp4SAoqAoACscwWh+D5efrSN/6zNw7nSt5/YgWIFd22GYHCpjKHOgevQf0muLFcCugalZKenUTggIu3eKqByiW2bZjowIWQWzD5P/EVJEiH21UHU/bFa7IgvtG2FvZ+MP2R3vGy8Hzrq49DSGLU5sUyG5X42bXjqL2f+E2xyyNeEj/7/XqWBHRdf1igL+YrHoCph79+7BNE0MDQ01TNNsl2DphINgLyDB0oRepYBJq91MJlOzzqLb3d97iZwZOMr+ykLxQCCA6elphEKhdm9eW/CLYBFC4PHjx1hdXcX169dx7ty5Y53v/S5Y+nGbidYhAVfbPlnWv+zs7Lh/Ommf7EUIgT97vI17568htLKKAlPBVQ3xTBpXdrdQmDwDfuki7Kb1+40gS5wDnCGmV/ZgkageUVG1Qqe2xBEmYr+YnUOACyCsKjB47ZoXEwwBplY0qawmoDAYct2e0Iasq1EAWK4YkClTnuIbAGqjdDXsOwE3q5FpQavY7WGqXnddy5xlqBD728uaR2DktVbrc/WET6BGxVC/EgqFMDk5icnJSQghkM/n3etsY2MDACrSxyKRSFv6sAyKpTFAgqUh3qhKt+yKAbsh3+zsLOLxOO7cuVOz6EpVVZRKpa5sT6+Rx/6wTmHSoODChQu4evWqr0Oifqj18Paj+fTTTzE0NHTsZXrFpp+PfyMGRbQMyn4QncU7sLIsC5FIBIFAoKP2yRIhBP5k7RXup7IIhUIoXL0KtrWF8KstXGRlsHNnYb31NkQ0hqgjTEquOmHQlfrRg4BT76Iodo95IQBLCFgCUBVZhH8QXWG1Iy9yrdyy7bjqYDdcrPVFe+BvCQGmKNj3AKjIbwNjAipsQSMjSaJGlEZrIRVMbcGBrFnDSgBQZLRHbq/jTKY4AsYVTp7tE5X6y6Ve0b6G7ruCdQvGGKLRKKLRKM6ePQshhJum+erVK6yurkLTNLcuJpFIHLneNpvNIhqNDsT9nwRLDXrVW0UIgUePHmFtba1pt3Vvp/uTwGEiSpZlYWlpCS9fvsQHH3yAU6dOdXjrjk+vIyx7e3u4e/cuIpFIW/vRUP8Poh8YhId5pwiFQjh79izOnz/fMftkwL5H/O8rL/FwJ4+AakcslGAQOH8Wp964hEgkAB4MQlcYAipDoUpgCCEQVLWK6Ipwoie6ClicwxSAMCvvs0GV1U0TgxBQmFJ3AG9b8NYfVssU8kZ3dk1hDVK0mN1sUXFMBar6sihsP0ojpJ2yqH0+2zUizWkagal3qADn2DsCRth9YmQaGZchIM+21RMrdu3KyXlmMMaQSCSQSCQqCvjn5+exvb2NjY0NRCKRiutM1pk1I5/PD0SXe4AEywFkbxU5eOzWrHCpVMLc3BwKhUJLs9snTbC0OqDP5XKYmZmBqqqYnp6u637jN3pZnP7s2TMsLi7i4sWLuHr1alsHb/0uWIQQeP36NQA7XN+vUSJJv/4ORG+oTuVsZJ98//59lEolDA0NuZ85jH3yf1l5iUeZPJiiwGSACjtaMhwM4PRwFJrC3E7ztepT9lPBBDQnklAWAhYXEEytOdBmcARHvboWrYnYUBWgwYRmI4tkZ8ebRkW0elbJMlri6ICyR9Aw2FEZt16ESYv5hqtqredKCxEYJuxtY4CbRmaYFgyjDO6kwtkfrL0yfYBSwY6CvM4YY3jrrbcQCoWQyWSQTqfx8OFDtxGkFDCNCviz2ezAtL8gweIghKgQK910AXv9+jXm5uYwMjKCDz/8sCUnrJMoWJrtr+wVcu7cObzxxht9NbjsRYSFc47l5WU8f/68Y5EoeQ31Ot3tKFiWhXv37mFra8tNSUwmkxgZGcHo6Gjbm4R1mn7a1m5BAq4xzWrP2mGfbIuVF3i8U4QFIGibeaHMBYKagmsjUegKQ9G0jXCjAe1AjYrqRhoESpZA2fNeWFNh1rn9BB3r41rY9SysWhdVvG85dvs1aUmMKI0L4Ot1WPRQK3IiBBx3NEfAOA1eFAYoHhHj3Tm5nIZrkzUwDT7kBlJqvKFqun28axTyA05NkiO2iP2ie13XcerUKfcZXSqV3ImCpaUllMtlJBIJN/oi0zgBexKXIiwDRK8K6znnWF1dxfr6Om7cuIGpqamW13vSBEujlDDLsrC8vIwXL17g/fffd105+gkpWLpVnF4oFDAzMwMhBG7fvt2xGZh+jbDI4wMAt27dgqqq7mDs9evXWFtbQyAQcGeSh4eHWw7RE/6DxFxtDnPdHsY+2duX4r88eIHHu0WYAtBVFaYQdq0JA94di4NzuA0h4wHNjiQ4aM7PptWpQdEVBrOOV7DaxC2rWXREZXZtS717dqCe65iDIoSz/Prnntak0F5uR/PpIOambFmOWhDCEXqA3RvFFUf1t4fh6BEY4bE0ZtLYgKHCCUCBQFBpuAknBjkeqBU5CQaDOH36NE6fPu1OFEgB81d/9Vf4x//4H+PmzZv4nu/5Hrx48aJtRff/+l//a/zWb/2WO9b6V//qX+HTTz+t+/kvfelL+Lf/9t9iY2MDY2Nj+Ft/62/hN3/zN49sfnTiBYuMqliW1dWoSqFQwOzsLEzTxO3btw+tgE+aYKkXgcjn85iZmQFjrKMD707TTTet169fY3Z2FhMTE7hx48axXUgaIeu/+kmwpFIpzMzMYHx8HG+99RY45zBN0+1yLHP5pRXso0ePsLi4iHg8jtHRUTcVxo8Rvn76HYjec5z7USP75IcPHyKfL2CJDWFHi0AwBaGADosLlB2xcjlp946QZ2xIYyjL3hyMweACBUsgoikHmkbKbddY7fcAIKAebDYpccVMnV1XGWA6x8aufa/8IBOiaVKTojDwhqP/FpaB5nUpSp3lMOwLNiG4/RlLQGV2c0cGqV+Y3JxjRWAqzqU6C9GYLXgIuOO7Zs9n70TB1NQU3nrrLVy+fBn/9b/+V/y3//bf8N3vfheBQAB/5+/8HfzAD/wAfuAHfgAXLlw49Pb8x//4H/HFL34Rv//7v49bt27hS1/6En7oh34I9+/frzlJ/B/+w3/AL/7iL+IP//APMT09jQcPHuCnfuqnwBjD7/zO7xx6/cAJFiyyt4ppml1PAXv58iUWFhZw+vRpvPnmm0caMJ5EwVK9vy9evMDCwgKmpqZw/fp1Xw4QW6UbblpCCDx8+BAPHz7EjRs3cPbs2Y6spxo/OKC1ghAC6+vrWFlZwZtvvolz584BQM3rTFVVjI6Ouj19isWimwrz5MkTAHDTYEZHR31hp01RhIOQgGtMOydQvPbJQgj8r0tPsZvOo1AsA4KDm2WYQgCKirNDEYyF912RGAQCigoBoGhyGI6MUeo0IgScVLA6P6+u7IsVe0zOnLQpZ1udcnDZ6xCojBooTjqVEAKmYUAI7qkfcaIMXhtfISpcsxSIJmKl1SaRzayORdOIiP2Z/Q9ZjnuahME2LpA20g0jMA3qW4SQx7l2lIbBTgckbOQz87DjQ1m/Oz09DQD4hV/4Bezu7uLKlSv4gz/4A/zsz/4sLl265IqXz3/+866leSN+53d+B3//7/99/L2/9/cAAL//+7+PL3/5y/jDP/xD/OIv/uKBz3/ta1/DnTt38IUvfAEAcPHiRfz4j/84vvGNbxxqf7ycSMHSqxQwy7Jw//59PHv2DO+88w5Onz595GW1UtMxSHhTwjjnuH//PjY3N499HP2CFCmdGkCVy2XMzc0hm83i1q1bSCQSHVlPLfqh271lWVhYWEAqlcLHH3+M4eHhQ30/FArhzJkzOHPmjGtRub297abChMPhivSxTka1iMNDYq42nYj4cs7xnx+8xOO9MkymIhLVEdFV5EoGDMNEQFiIlXN4+bKAYDCESDCAoWgY+RqFKNGAVlOUsP0uJnJP3KiBNP/lwh6ciyorYY0BZSZqNjgEbLFjeL7DmQpTMKdPi9OVveKr3sE/B2MMuluzIfYH8YAbrWEtRFdasSi2P3O85QjY71tOUT9zjqWCfYHi3Yd6qxOCNxQ0Ida0XOdE0a6sn2KxiOvXr+PXf/3X8eu//uvY3d3FX/zFX+ArX/kKfuM3fgP/6B/9I7ferB6GYeA73/kOfumXfsl9TVEU/OAP/iC+/vWv1/zO9PQ0/v2///f45je/iU8//RQPHz7En/zJn+AnfuInjrwvJ06wyN4q3Y6qZLNZzM7OQlEUTE9PHzt16SQ1jgT2BZqsLeCc4/bt2wPTEOk4zTGbsbu7i7t37yIWi2F6errrtRZ+TwnL5/O4e/cuNE3D9PT0kf3uJV6LSpkKI/OLHzx4gFKp5Bbvj4yMIBaLde0+5OffgfAf7RYsQgj8lwcv8XingKLFoSoKgqqCnFGGIRgioQA+PJ1ERFNgGQYKxQIye7vI7OxA13UEg0EEg0EEgkGEVMWOyFR3SBcCIc3u+a4wwOS2U5gcDQdVBqPBbVZT6qeKAc5iKtyFK49Ro+/bMkigzNl+IUflwqAwQHdVD3MjNAdH841/l1ajK7zpZyojJ3YtjLDrcxz7YkVxol3ONtVsDikAblk1N1uF3GdC0o4u98DBovtEIoEf+ZEfwY/8yI+47ze7xl+/fg3LsjAxMVHx+sTEBJaXl2t+5wtf+AJev36Nz33uc26rkJ/7uZ/DL//yLx95X06MYKnurdJNsSIbGLbTveqkpYSpqord3V2srKwcK5XOr3TKTevp06dYWlrC5cuXcfny5Z7MJPtZsMh6nsnJSbz55psdScfTNK3C4SWfz7vpY48fP4aqqhXpY+1sxOeFoggH8et56RfaLVj+y4PnWNstosQ5VIUhqDLsGmUozP73teEYEgENCgPyegBBTcepkVGULBOlkoFSqYjMTgbc4hgKBxAMRxAMBhHSdTDF7qfChThYgO+tEWzQjlBvIlZ0hR1wKIPnGClATRHlRWWKW/h+AEcYlN1UtP2cNJmaxRigCAauSKOv2utSFTRNO1Mb9oCR29skAsNsq2l7NGIXuqhOLYos0meMQXAOVa095AyRWDmAjLAcl2Z9WDo16fvVr34V/+Jf/Av8m3/zb3Dr1i2srq7iH/yDf4Df+I3fwK/+6q8eaZknQrBU91bpViNI0zRx7949vHr1qu22sTLC0i1XqV7COUc2m0WhUMA777yDM2fO9HqT2g5jrK3Wxt7mmR9++GFLOaqdwo81LN4mrd2s5wFwwElJNuKT4jIWi7nRl2Qy2de1WUT/067ny/979SXup/KwnFG5rjDsGRZ0VQUDMB7WcS4RQt7k7nA+EdBgCgFVUREJhxEJhyEgoAsLRslAoZhHKpOBALOjLsEgRmIRoI4oCWvqQcHhQWGo+777rBXVr+//u1l0RmVwoj31P6M57mMH1g/YjS+5sMWIZVsqqwqD6lgWM6e2Rn6+IS24lAmBeoeygoqgE7OdyNzjyO3jWjYMcHFwzKI79TFEJe2MsBxXlIyNjUFVVbx8+bLi9ZcvX9ZNyf/VX/1V/MRP/AR+5md+BgDw7rvvIpfL4Wd/9mfxT//pPz3Sc22gBUsve6vs7u5iZmYGoVAId+7caXvRrTyRLctqqW9Lv1IsFjE7O4tSqYSpqamBFCuSdg3svc5pfmie6bcaFtM0sbCwgEwm01KT1k6iKIpr8XrlypWKRnz37t2DaZpu9GVkZASRSORY9zA//Q5+YdAnfI7DYSbElHv3oP2n/wT1u9+FGBqC+df/Osy/+TeBYBD/x8OXmNvaAwfABYeiMBQtgZCqwOAcYcZwcTiKnKdORVUOigdNAZhggKJDDWuIhSOICcAoGyiVSijl89jM7UFTNTd9LBgM2oMjUV3XUkmgxvoq3leVmu/LlLCWoitgMFn9lTBI2+H6y9A8UR7G7AgJd+257C3SGcCZR8TYhSaV21JHGFWuqxUXsiafcQwIhKLa9cOWnaqnOhGYoEbXXy06lRJ2FAKBAD766CN85StfwY/92I8BsCeSv/KVr+Dnf/7na34nn88fECVyf476HBrYkW6vCuuFENjY2MCDBw9w6dIlXLlypSPrPQmCRabrjI+PIxqNDux+StoxsH/16hXm5uZw+vRp3Lhxwxez835KCcvlcrh79y4CgQCmp6dbSr/q5oC2uhFfLpdDKpXC9vY21tbWoOu6mzp22N4vNDA/iF/OS7/SqmBR5ucR/Cf/BGxrCyKRAHv9GoHf/V0o9+/j//jJ/wu+83zPTR0qc46IqgMMKFoWhGnh2pmRA+uJahrK3LExVgDDEsiXBeIB1S1wBwAw+7oJBAKIjQzDsCwYhoFisYi9vT2k02nouo5YUAcPRxEIBGruU63oyYHjULPBiNzG5tEVUxwtuuLdDtHs9xACFmMQ3GNx5qxfdZo0Cg4IBWCs/vNB1HHzqv5MKz1TmPPbM9gqhUOACyCsMLIxrkM7BIsQomlKWKt88YtfxE/+5E/i448/xqeffoovfelLyOVyrmvY3/27fxdTU1P4zd/8TQDAj/7oj+J3fud38OGHH7opYb/6q7+KH/3RHz3yfg3kCLBXvVXK5bI7c/vRRx9hZGSkY+uS+zWIdSxCCKyuruLx48duus7y8rLv0orazXFSwrzH7K233sLU1FSbt+7o+CUlbGtrC3Nzczh79mzbask6CWOspd4vUsD4tfcL0b+0Klj0P/5jsK0t8KtX9+tFdnbw35+m8LX7T8HjMTDBULIE4gENJc6hCAGFC5wfjiERqhTeYc2evFGZbWNcch5zmsLqdq2XRfiKoiAUCrlZDZZloVQqwjIMpNMpCCEQCAQRDAURDASh6xoCtWpTPATrRFfchoeMNY2uKAz7heqPH0FZvAe2twuRGAJ/+23g4oVDRVcO+xmvXbHOgLIFqAqH4qSTSbev/eU0j65ocp8aoMB2ZKs2J1AAhAenDLXttCvCks1m2yJY/vbf/tt49eoV/tk/+2d48eIFPvjgA/zpn/6pW4i/sbFR8fz5lV/5FTDG8Cu/8ivY3NzEqVOn8KM/+qP45//8nx95GwZSsFiW1XWxkk6nMTs7i3g8jjt37nSscNbLIBbel0olNwXss88+QzweB2AP5g3D6PHWdZajChbDMDA3N4d8Pl9xzPxCr1PChBBYW1vDo0eP8Pbbb/dtWmF175dSqeRGXzY3NyGEqEgfq5UKSBGFg1DkqT4tCRbDgHL3LkQyWZF29K03P8CfXHgXrFSCOhRH0eQIqQryZQtBlcG0OMKairNJj2OmEAio9ug5bx28F4Y1pTK64kFVlIr+Ie7rqorReNyJfgiUyyZKpSJKxSJ2d3bBFIZYMIBgKIxgKAhV1Zy+8M4mSecrYf9HeNKrZJKZpjD3c7VQmIDF7eiCsrAA9Tvfcd9jr15B+epXob7/LoybH9VdhnN4GiMEeJPfi8GphYHtoFYzCiMALiv8666reQRGrk8WuXjPpbDKoNC1VxfOuW9qWCQ///M/XzcF7Ktf/WrF/2uahl/7tV/Dr/3ar7Vl3cCAChZZwNytFDDZjO/atWu4cOFC1x6AgyZYtre3MTs7i9HRUdy8ebMiBewk2DgfRbDs7Ozg7t27SCQSuH37dtcti1uhlylh5XIZ8/Pz2NvbO3L/Gb8OaIPBICYnJzE5Oen2fkmlUnj58uWB3i/JZLLXm0v0IS0JFlUFQiEgk3Ffmjl1Fv/5+idQLBNMVZAv240Vy0xAVxgKJQsqY3h/MukMWgUCioKSJaCw2qIkoNYXK2GthlgRAozJju7C/VvVVITUKALhCCKcg5fLKBoGdnd2UX5drmmfnK3xmFWYXQBfKJVgWBwamLu+/QYl9l8aYzABoGRAnZ11FrA/G82KRYj5BeDd94A693C1gSGApJnLGeD0manzGRmF0RhQMmWtCXNSyVhFlERp4h4GyJocG+FEvwA7ukLOYI1pV0pYLpfz3STmURlIwdItsVIqlTA3N4dCodCT4t1BESxe0ffmm2/i7NmzB36/djpo+ZXDpE4JIfD06VMsLy/jypUruHTpkm8H1r0SLNlsFnfv3kU4HMbt27e7EvXsFd7eLxcvXqzo/bKysoJisQgAePHiBRRF6WrvFz9DEafGtCpYzP/pf4L+B38Akc/j3tQl/D9v3IYwLSASwV4oAm5aiAc1KGDIFQ2EdBVvnUogoCoIKHaqWLZs2SlGdUSJ3T/l4HsMsrM8AMedyuQCJucAGCKaUlHMX/llBZFwGIFQCIlEApxzu3i/VEImkwHnHBFdQyAcQSgYhO65h3CxL4TKAjAr1ERl1KIMQFEYtCdPgGebYKoGBHQgGIIIhaDn9lAOBsC2tyGO2AhZCGE7sDWAAbZwavIZOaqQ+1h2rZXtaJICgMnikwbnh9c9TDgCEgAianecWvuZdgiWUqkEy7LakhLmBwZSsHSD169fY25uDqOjo/jwww97UhA+CILFMAzMzs6iUCg0nAGXjSMHmVZTpyzLwuLiIl6/fo2bN2+6KUJ+pRc1LC9fvsTc3BwuXLiAa9eunbiHY3Xvl0KhgG9961vI5XL47ne/C0VR3OjLyMjIsZtlEoNJq4Ku/IUvQFlawtraU/yHqx+jZFrQY1HsnpqAqmmI6yqYAIqmibCuYSioYTIeQpnbQkUS1bWaoiTkTQUTApqi2ANrYUcBsjU7QdpNGhs6fynS2ctGURSEw2GEw2F7gM0tFEu2A1k2mwUAN/oSCgbtAbiqNby/aApDmQtwLmAFQ7BGxuxBvoxU5PLgTIHy6jWEZVW4mcnlqmglulI7Jc6LXfjfeDmNPiMAlLkdJZOGCCoTUOGxI/P0pPH+KrZgUaACCFJ0pSntECy5XA4ASLCcVDjnWFlZwcbGBm7cuIGpqameDYb6fRCfTqcxMzOD4eHhpqKPUsJsZFd2VVUxPT3ddrvsTtDNGhYhBFZWVrC+vo533323rkf8YZfZ7zPx4XAYqqri8uXLSCQS2N3dRSqVwubm5oHeL0NDQwPVlLUZJ03MHoaWbY2HhrDyq/9X/NH/WEEhn0cgFEQ2EoMeCNipQxa3IyGwbY3fnhg6EPUIqgrKdaIrmlMVbgkBgwMl+dwTApGAhnr2XmFdRbnBLVVl9RsnMsYQDOhQNR3RaNR1Hi2VSigUCtjZ2YEODsYUFArFfftk7zIgKkwCxPg4RDgMli+4nRX1XBbG8AgQi8E8NQH5BQbb2lllSmUQo2YX+eZd7YHmEZiWPiOEW68je8OYEHYKngBUxRYwQooXb9NOZteu0DXXHMuyjp0VkM1mwRhDJBJp/uE+YCAFS6cuhkKhgNnZWZimidu3b/dctfZrhMXbtO+NN97A+fPnm/5mJyElrNk+SperqakpXL9+vW8cobqVElYulzE7O4t8Pu+L69NvuLnnioJkMolkMonLly+jXC4jlUohlUphaWkJ5XIZyWQSo6Ojben94mf6XYh2mlYFy6tsHv/3+6+wF0sgNJSEIQQUAGXOEXJStItlEyoD3j8zXNNZKlRVoyILwO0ISu3nXERXncLxmlvfMCqhK6xuLQfg1J14bseMMdc+OR6Pg3MLRrGAzM4u9vZ2kU6b0PUAgsEAgsEQAoEAglqVCFMUWN/zPdC+8ueAZUJYHFYoDGgarM99rkKM2EXxAGccXrsZlTFoilMv4xTP6y26h9XLjDvMZ3RVqesMJpgs6BewADAuoCoCChhMswyIIEVXWqRdEZZBSv8dSMHSCV68eIGFhQVMTk7izTff9MUMZD9GHQzDwPz8PLLZ7KHqfvo9mtQK9QSLN2rwzjvvYHJysgdbd3S6kRK2t7eH7373u4jFYr41H/ADtQbouq5X9H7J5/PY3t4+0PtF/qFje3JoRbDsGWX8wfwm8mUOzemxUbIEVCYQVRRwAeTLZQQ1FWPRIBLhwIGoRlSze6swBuiMocw58qY9ax8L1BmmCGcGv47ojGhqY0GioGH0pdn7YV2D4CEwlsX4+IRrn1wqlWz7ZM4RCgYRDIUQDAahabq9uZOTKP/Y/wnK6ipCL1/AmDwDfu0qEKnt5CRTyiSWELCq1ElA2I5bDJ4JIu/vJgR40xBMC5/xRFdaQQoYQKAMBsUqD8zgudO0S7AM0oQTCZYmWJaF+/fv49mzZ3jnnXfakmLSLvotwpLJZDAzM4NEIoHp6elDDXz6UZwdlloDe1njUywW+zZq0OmUsOfPn2NhYaGjjVpPCowxRKNRRKNRt/fLzs4OUqkU1tfXsbi4iEQi4YqXRCLRN5G+etD50phGx8cwTfzfvruBTNEEdwbMxbKFkKpAB0PJtKAwBl1VEdQUvDuegFF9KxACuspgcYG8xVH0vB8NqHXTxMINoitCiIYOVhqDs9za+6YyNI007PcWcb6jqohEoohEogAEmGkiVyqhVCxhd3cXiqK49S/BcBj44AOUlfopaYCdNVY/giT3RZoR7H9OFsdrTkqW1kLtisaUinqeWjSKrrjbjNq9WYRZRpDRZEertEuwtMvS2A8MpGBp1wMom81idnYWiqJgenrad3mA/SJYhBBYX1/HysoKrl69iosXLx76NzopKWHegb0UeMlksmfGDu2gUylhnHM8ePAAT58+xfvvv4/x8fG2r2OQOMp9UVVVV5wA+71fUqkU5ufnwTmviL7U6v1C9C+NIiycc/wvM0/wvGDAsAQUZs/qh1QVZrkMzhiCuoaSaSHEGN4ci1eIFQaBoKpCZcBurZQv2Rm9Tn0Kq/8WIrrScICuq6xh9MQuKm/0vlMEL4BaokcIQA/oiOk6YrEYhBAwDLt4P5fNIZ3OIKAyhCJR1z65Vk8SjTGUm907axwHWRwv3b1U52Bpbmd5th+hcjaYt3B7aOUuXm8x5b0dqMn+m3DrFe3ow5LNZhGNRgdmUqY/R0BdYHNzE/fu3cP58+dx7do1X84i9oNgKZfLWFhYwM7ODj7++GMMDw8faTknKSVMCIGNjQ08ePCg6719OkEnBIthGJiZmYFhGLh9+/ZAzSJ1kuP+DtW9X7LZLLa3t93eL6FQCCMjIxgdHUUymfS9yKYalvpIs4l6954/nH2CxztFlCwLqsKgqSoUALlCCbGAZjf7NS0EAYzHQhiNBu0+KwACKkPBFNgzyogGas+6N4quhFSlSQSkkdWugNlgdN7sfcDubG+JSqteLwG1sqaEMeZGV5CwB6OWUUKhZCCzkwG3uF3z4nxGD+hug8dGqIw1jcDoDK7o8aaSKcyOwqhOp3su6kecADjpfo2pF11RGVDO7kJRzjVZAiFpR4Qln8/3ZVZGPfz9NDkGRx0kmaaJe/fu4fXr1/jggw9cW1A/4nfBsrOzg5mZGUSjUUxPTx/L8eIkpIQpigLTNDE3N4dUKnUsgecn2h0dk80yh4aGDjQYJerTbtHLGEM8Hkc8Hnd7v2QymYreL0NDQ270JR6P97XwPqnU+s3+3fwG7qVyKJQt6KqCkKYCAigUy4gGNHDYvTqCjEFXGK6fiqNsCYRUhnyZo+R0sY8HatsYN4uuqAoDr/E9AYGQYjtUacz5tlOYLv+tye+y6rCE7dqlOWMHudvM+a9witwZE070xd6+Wsen0bYDgKYqUMNhBMMRu0DdtNz+L9I+OaxrCEYiCIZCdQeuCmtudyzq1PlwARhOmEhjzG4YqTCoTp+VA7UqLVy71VbGkphmPwP8OPHrV9ohWLLZrO8yg44DPek97O7uYmZmBqFQqC8sY1VVhWEYzT/YZYQQePLkCe7fv4/Lly/j8uXLxx6onISUMMuy8OTJE8RiMUxPTw9Mb4x2Rlhk5LObzTJpkN0amqZhbGwMY2NjAGxXRZk+trGxAcaYL3u/0O9bG3nNVh+f/235OWa3sihze4Ab0FRwi8MyORTFnvGPBlSUDRMmgLdOJxHQFOTKFkqefikMqFu/EdHrR1eCyn43dgE7MmA3i+SwBKDqKoyafVkAQCCgKnXWa0eULE1pGLWIaCoMzqEwoGRaMMplQHAwZjt3KYAn+lL73NLZvkMZA4OmadA0zbVPNowyTKOIfKGAzM4OVFV1e78EHPtkBc3rW1qJwGiMubUrZS4qjrvObAGjMgEulIaiRYGA6Yi+yteBqMpIsBwSy7KOfbykS9igQIIFqEjBadcAuxv4McJimiYWFhaQTqfx0Ucfubnvx0WmhLXcF6DPePHiBV6+fIl4PI5PPvlkoG7s7RAsnHMsLy/j+fPn+PDDD91BMXE4upkCFQ6HMTU1hampKXDOD/R+iUajbvrYSev90g/UEix//vg1/vtmxu6HYnEENQXCsiAEUOQcUU1FSFNRKBjQNAWXR2IYi4awWzrYXz0W1JwZ/oMozow/YKcTKYzZHde53SekVK793AsorO4yASCs1RdCQFWDyprbBff73OkLwxUVhf2CFoRUBoNzN5ojIxbMMSXggqMs6p/rjDFEwwFYoQBisH+HUqkEo1TC7t4ezHQauq4jHNARCIURCATrZnK1EoFpVAtUFgJlSyCgMJic24X8jqXy/pfluljd6Io0lKFrvHXaaWs8KAysYGl1kGQYBhYWFrC7u9vWAXY38Jtg2dvbw927dxEOh9seIZAX7qAJFm/h+NjYGCKRyECJFeD4tsalUgkzMzNu/6NBCnGfFGr1fkmn09je3q7o/SKjL90qFKUalvpUC5bvPM/gf195CSEEciZHVFcRgJ1WZJgWogENIU1FyShDVxQENRVDTt1KNQyAVc/9S3X6BTGgZHIUPL+RrjBnebXPjYCq1Fyfu0/NysYbjd4he8V4lldV98Eg9ov1GWAKAbNqe4KKLbh0lUFlHiEDmUpWmVLGGEMoFEIoFEICdhPOYqkIo1hENp2G4ALBYACBYBChYAiabg/rWonAeAVYPVTpMFa9P44g0xQGBRwmOxiBYQCiGnNrMwft2dYp5PEil7BKBlawtEI6ncbs7Kxrs3vcrqLdxi+F6EIId9a0U9ay8kY3SGFlORAvl8v47LPP8OzZM5TL5V5vVts5jq1xJpPB3bt3MTIygnfeeacnM3SDIpD9tB+6rmN8fBzj4+Nu7xeZPvbw4cOu9n7x03HxE95r9sF2Fv+P+ScwBVC0BMKqgiADcoYFRWEI6RrCCoNVNu0BNQOujyWRDOko1qiOjwc0lDwDZU0BFNiRCVMw5IyDERkACGsKinUEicrQMLoSVBs3RdQUBsNq8AFxsBFlddF9UG0coRHCTpuSvWoq37S3IaAwmExxZVD10hRVwVA0irIzcWOWTRSd/i97u3tgCkMoGEQ4GIAeDENR6z8vVSdy1QiVsdrF/x4BoytA2eKulbI8JlFdhcIYTGecMijP7k4jx3XtECyt9rrrB06kYBFC4OHDh3j48GFfuzBpmtZzweI1Kbh58yZGR0c7sh554VqWNRBF1ul0GjMzMxgZGcFHH30ETdMGtk7nqClhT548wfLycl9fo0RzvL1fzp07B865W7wve7/E43E3fWwQer/0A/Ka3cqV8G+/+xgly24aGFIZNCGQNeyUMJMLBMEhLIasYUJXVVw+FUc0oNWMdqibm8DaCkKZHbBkAvl330du2M5sCGuqW5B/4HsMDaMn9ncbFLp70sxqvq+wAw0ZvYQ0tY5r1/59qVn6VUBR6tsUOwJABUPRk/KmOsYFqu1HvG8gILdb1xDTY3bqjwAMo4RiqYTdbA7lzA40TXNrX4LBoHsfZWgegWEt7BOEgOW4qplcwJSRIQDjIfu5LZ9rdN22hjxe7XAJm5qaascm+YL+H/nVod7gplQqYW5uDoVC4VCd1v1IryMs2WwWMzMz0HW94yYF8vfs9wG9tyfNG2+8gfPnz7v7NsiC5TD7xTnHvXv3sLW11VERfBgGRSz1QwqUoihNe78MDw+7nzlOimA/HI9eIYRA0QJ+7+4GCiYHUxQwwWGWONSAiqCmwjAtaBywmEBBACFdQzykYzQWQiKoolg1wlfvLSL5lT+DEY4gH4mC7WUhXmyBfc9fg5ichKqwAylUkoimVkRlqra2YWqTytDgu82/Dzj3gKrzxZuiHFCbF7g3yTgDcFBEuJ3tnUe9xoCyWwxvL9DOTLML3gPBIKKhEMqJBDjnMEq2gNnZ2YFlWQgEAggFg4iEglD0xlklulInulLxmdoiLKop0D2ZEQAJllaRBffHfe5QSlgf8/r1a8zNzWF0dLSvG/FJemn1K92aLly4gKtXr3b8RsQY6/sBvTQkyGQy+OSTT5BMJiveP26th19RFKXlVLdisYi7d+9CCIHbt29TI8I20q+iq1bvl1Qqha2tLaysrLi9X0ZGRjA8PNz393W/YFkWvpxRYcQMKEwBEwLFkolkOACTC1icIwSgZJrgQQ067PSiS6fiCKqsItqhKQxKPofSN7+NXHwIZiwOwBm7l0pQvvtdqD/6N+pGVxhEwwaKEU1t2OixWapWSGtc+6IxhjK3q0y8eHsvNnsCKnBS1hpchiFFgdFERCtOZ3uvwFIApyaGORFte1sVRUEoHEbIuY+apgmjVEKhVEJ2dxdQFKf2xY7AVFw7QoA32ljYgq3eYU8G96MDMpW7X+9B3aYdBfcACZa+hHOOlZUVbGxs4MaNG5iamhqIC6cXRfeWZWFpaQkvX77sep8av5kMHIZsNou7d++6ltm16qWOU+vhZ1pNCUulUpiZmcGpU6fw1ltvkaMMcQBv75cLFy5U9H5ZW1tDoVBAIpHA6Ohoy71fBuFZ0An+YH4Tz0oCYzEGDUCxbGIoqKNYthDSFFiGhb2yheFoEMWyhYDGcHU8AU1REAtoKJrcjjpYAnuGCWXzBUb3dlCcnKxckaaB7e4itLeHQqJ2xkNUr9OvxaVR6EK4tr31aBIYQUBlqO2UbFejK6y5GNEVBaUmE1LNnm4KUPM4cMh0Odvu2RQCuqI4ne1t/2fB4NonJ2JRmMI2HTJKpZr2ydFwqOlxqReBCasKQp7amXZY9J4k2nW8yCXs/8/enwfJlabnfejv+76z5V4b9h0NNBq9b9PTheFyJZLivQrKkuwIKyyFxKAshcMSLVq04lIUGZRJech7PZI8EmfEkWTPle1rXdKWLYnmMsPRkEPOiByT00Bh39FYGntlVVbldvbv/nEyE7Vk5ikAWVVZhXoiOhpAZp485+RZ3ue87/M8GwzNZpPTp093HIY204+31gV8vV5namoKpRQnTpxY86ffG7XDcv/+fc6dO8eBAwc4evRozwJpo25fGtIIy0Jb8WPHjrFv376tInKVsNkI8UqyX9rjY+Pj40OT/TLs+N8v3eePHlRRhoEtE02FRBBoTVYpag0fIQUF28ANIjKmouSYjGRtbAU6TsaU5hbYGWshiLPZdo2/CEYY4IneBVq/o9ZSou84V8aQfbsvpuz/+X6J80mHJRHKp4ntg5Rru5misYGWMUCq81dCUJZmqhgCDCk7WhgAy7KwLIt8obDMPnl2+jGWk8V2Eu2LZVldrsvdiWLJWvxbbiaznLXAIDssm6nm3bSERQjBgwcPOHfuHLt27eKVV17ZdE9s15KwtIvuffv28fLLL6/LxWe9NTtPiziOuXz5Mnfv3uWtt95i+/btfd+/mQlLr+2Koojz589TLpd5//33GR0dXeO1e3HwIpDApdkv1WqVcrnMvXv3uHz5MtlstjM+NjIysukI3FNDa+Tly8irV9GOQ/T++/z2XMivXXuIEGCjqfshQaQZcwwkUKm7ZCyDMIzQQmEpgQ4jDmwbI2MkLlGVLi5fhb278UslhOejO8RRQxiSzWeptsbEliKjZF9CYQmBr5MEetExBmZBLa1bWo8Fm73gz7KVYN/rG5w+hKd9/KTpPNJG0gCUFD2tntvflZqpgu7RCUrWMYxiVJR0ZJQUmEIg2wRmgX3yqEje63kenusx25gljmPslnDftm1s00hc15ZcVkwpyBlbhOV5MAjC0nZf3BoJ2wC4desWFy9e5PXXX2fnzp3rvTqrAqVUMkO6iheDdmDfvXv3ePPNN9mxY8eqfM9KsJ6anaeF67pMTU0RRREnTpxYkTB4sxKWXqNuzWaTU6dOIaVkcnJyVU0btvDiQUpJqVSiVCotyn6ZmZnh0qVLBEFALpcjDENqtdqaZb8MDXwf6x//Y9TXv46o19FScvLIG/zy9/3HBNk8eUPyKAZDw6htQAwNP8Q2FW4QMZY1EQjCIOTVveNYStIM4+QJfxeITIbwvfdQ/9cfguch2gIQy6L5vX+s5ziVqQRCJ8V4rJ8U7lGs0Whmo7gn2bCkoN7dIRlokRVE5/PtkEolBLJltRzHMW2TYfHoMUydQj54AMogt28f7rGjqdbAabxY0H3Ua/G29HEYa8FUsq+1MzwZTYtiTcQTMb8SopMNoxBopchms8m9S0MQBgmB8Tzm5+eRcYSdzXc6MO0Cu2SqZefRVmjk02FQHZZarUah0P1BwEbEpiUsu3btYnR0dFOHzC20+l0NwtJoNJiamkIIseKiezWxUQr6crnM6dOnmZiY4LXXXlvxhWeziu67jYSVy2WmpqbYuXMnx48f33r6tkZ4kTsK3bJfPvnkE+r1Ot/5zncwDGNR9stGy+V6Whj/5/+J+rVfQ09MoPfs4WNp88Xdb1J98IjSoQxVP3labgjQkSbWyX/EkLdU0pWIIrYVMihT0QgixhyLZpcueN5UScbJocNEpRHEjRsJSRoZIffyEdx8AbTuJMPHmpawX1Nu9jbsKFiqZy4LJEGSbp9sFUepRa9HOnHlClqFvCEF9aBl0ztTxvj130CEIYbvYfoezt27ZM+dJfrP/jO0YSTn15JiXdEaOevDhVfSgekr02mvf9oydG/zgkhrolAnqykSstYW8iMEpmlimmbLPjnG9wNcz6Neq1OZncUwTRzbougowtGRRQL+rQ7L02FrJKw7Ni1hsW17058gCwnLoIPVHj58yNmzZ9m9ezevvPLKUOzLYR8J01rz8ccfc/36dV555RX27t37VE9sNwohe1osJCxaa27evMm1a9c4fvw4e/fuXee1e3HwQnUPUtDOftm+fTvlcpkPP/yQubk5yuUyt2/f5sKFC53sl7GxMUql0lBcAwcJ9Vu/BaYJo6PMSoP/9uCnmM6WKMzPEtTqWIUCdT9kPAuRjvHDGMdMrIwtBIEXEEvJzvGkILKV7EpWAAwliVqpjXpsDD02BiTCcG1IZKxxI01zCbkoWgaNoPsyNf1HpAS6fxAkpGpGLClotkiAmjoNcYwWgsB2CGwHw/PQ0iS8dJX46FEgIXnt3BQpBErSynfpff6lrYcQdHUpWwhD0jcYE1ZGjKx2B4aEwLShhMBqERgpBFbLWYxiQkg8zyOuz3Ptzid4nkepVOrox8Iw3HTnz2piEB0prfUWYdnC8KBt9TvIIn6h7mLYxumGeSQsCALOnj3L/Pz8M+f7bFaXsDYRS7N13sIW1gtSSkZHRzsaKt/3O+L98+fPE0XRouyXTCazsQmg1ojZWXAcAuBn977Lg2wJ0/cRmSxRFBGEERkBQZSkudumwgsjcgJqno+Ukld2jXRGwHKWQTNcfi9ylMRrVdJSJF2LMNY0ghgMaHo9BSJ9CUfONPpqW/rntoAt+2tj0HpRcS/u318222XXazSdCcSDB9AiLIvE7lpjKknc+r8pE9thQcuZTLTF9r1XA5L3+CnvkStowazk7hn1WEakNc0WgTFamS9tYqaEJJPJsG+iiH14/yLzizt37nQK8Lt37276yZdBYBAdlmazidZ6i7BsYXgwSOF9s9lkamqKOI6ZnJwcOrHWsHYgqtUqp06dIpvN9rQsXgmGdfueF0IIwjDk29/+NqZpMjk5ueXWtE7YjIT4edGNeFiWxc6dO9m5c+ei7JfHjx9z9epVbNvuWCdvyOwXIYhffx35ta/xC2//AHfzo6jAx5ISVwhMwyCMNVoLLEPihzE6irHQNP0YxzEZLzgUM8m1zlIStwtZgYQ4hGj8MKYaRCzsEphKEvZoC+RMo2cuCyRP/IO+BXr/Al5JQZCSbL/o+00TfH/RyFfYdsrsMeHgGLIlghf4kV6mLzEkSCWhnZ/SxULtecX2bSiRnmyf5pi26D168fKKlsJuWRkvNL/QWnPt2jWmp6d5+PAhV65cwbbtRdlJg54Q2egYBGGp1+sAW4RlI2BDP/16CgyKsDx69IizZ8+yc+fOoXVUG8aRsHv37nH+/HkOHjzIkSNHnuu426yEpVarMT8/z/79+zl27NjWaMA64UW5Jj4NVkLglma/RFHUEe8vzH5pWyevJPtlGBD+h/8h/+NDn3N2Ce26xEhiFWNlszRNByOOUaZBM4jIG5Kq62NocBwTKWD/xBMxb8EyaCwgLIJk/EhrTdn10Z0ifIGlrhS4fWaY+u1CJURfMmPK1us9liGg7+cXr2mC+MgR5Jkznb871Xn8QjEJWDx8uPsyUqLtI62ph/GCvJOkE2NJiRIk2hEpCFaQNp826mVIkSrIFyvo0vT6XUbt7uWkEALbtsnn87zxxhuEYcjc3BwzMzN8/PHHnDt3btOPXz4tBkFYarUaSqlNZWazaQnLi4LnLeIXhmq+9tpr7N69e4BrN1gM00hYHMdcvHiRBw8eDCxAc7OJ7rXW3Lhxg1u3buE4DsePH1/vVdrCFp4bSqlF2S+u6y4afwEWifeHtWD4SnY7X5n8AfT0DE3PZ7vSNEujNPNFbCUxtKAZ+GQkzDQ8bEOhSITdx/aMdUbBlBS4rXuQKQUSQdUPaQQRo465gKwsRtZUyzQrbaSRmawp+4rt7TSx/dLuyRJIWBbyGL35JuL+fcTjxyAEKk622X31VVQXy/pOmGQf2HLpdiRdn2DBPT1rCDSiNU4GWgv0kl2apoFBa8I4LUAVAt3//qNaI4JLYUhB0epdYC8swA3DYHx8nPHxcQA8z2NmZobZ2VnOnz9PGIaMjIx0zp8Xzr2PZH89r+lH29J4M+27LcKywfE8Rbzrupw+fZogCDZEqOawdCDao3NaayYnJwc2jzss2zcIhGHY0fQcPXqU+/fvr/cqbYGtkbBueN4buuM47N69m927d6O1Zn5+npmZGe7fv981+2UYutfnHlX48unb6EyWcE+GUSVpAFGosZRAxBolNWhN3Q2wDYUOQ6ysw7ZihoLzZISnZCpiIQjimPkFQZFCLC/6O6+h+44eOUot6tgsRV8eoPsvO3lL/9cdI7FoXgTDIPyTfxJ5+zby7ic0TJOZ8QnUzp10G562lWylz/dGmqmXFEmCvUbjLdgdhhRJF0Ym7wni/sexlZJlAy2xfUrXyZCi6zaN2UZPO2vo7xJm2za7du1i165dHaF4m8DcuHEDwzAW6cdehHHiQXVYtgjLBsFm+pH6QSlFGPYxmu+B6elpTp8+zfbt23n11VeH4iaahmEYCWvvtx07dnD8+PGB7rfNIrqv1WqcOnUKx3GYnJykUqlsiu3awhbSIIToZL8cOnRoUfbL5cuX8X2fUqnUGR9bj4LiYc3j//0H1xE6cZUyNIRSIFqFcRhpRiyDRhAQRxrDEgRhzIhjYUjB3pYrmCAp7OtR3BHVL0TJNjoi7aUoWEZPQbygN9EByJj9i++sqfqOR5krSIvvGQQpBPGBA9gvHcKLNEG5TK87QBoZMWR69kpCepbvizDWhK0Oj90iI7YSKJlI7yOtn/q4WlGXZmlrh+T3GnP6l5IrtTUWQpDP58nn8+zfv584jjvjY3fv3uXixYvkcrkOgRkZGdl4+rEVYFAalmHTIT8vNt8v/YLhaTssbQHczZs3N5yt7CANBp4W7fGmGzdurNp+a3dY9DPcbIYFbTvsffv28fLLLyeOOF1yWLaw9tiox9RqYrWPy6XZL233pHK5zM2bN1FKrWn2ixeG/MzvXSKMNc0gQsdQzJoEQYQXRjiGQmqdFMlRTBBrckoio6TgfGlnCSkFGSWp+VFrmd3vP/1q8X7ajpyp+o6DGUIS9vG7kim6EUvKnqNoyeuCIKXT0Eava7W1QvF6mgg+LZBSAH4rODMhh8l6C5GMmxlStDow/W2VDZG+LlYPS+S8+URs33M7ntGmd6l738IHAFeuXFlmn1wsFjfFdW6QhGUz7I82NjVheREKpacp4j3P4/Tp03iex4cffrjhElCllARB7xCx1UIQBJw5c4ZarcanP/1pisXiqnxP+wnURiQsC4nwG2+8scgOezONum10bPbr4bNgrc41IUQnOXzv3r2Lnh7fuXNn1bNftNb8N9+8QqXp0/AjTCnIWYqmm1xTs3FEo+qSyye2xn4UYxkSL4iYyJiM52y25x1qQcRMEIDWRLp7UZUzVc9xKEeJvvqSfkh0If2cw/qL6fUSq+JuMFLIxqKxKN1doWNISZi6Hn1XA1OSPsaluo9oaU2yj6OWrXQUJ7oklWiMNIspnZQiZc6OnnwnrbsCCWEZhBPYwgcAwDL7ZKBDcDay/fggcli2OixbGDqslLCUy2XOnDnD2NgY77777oZso67HSNj8/DynTp0in89z4sSJVbVfbF9YN1oqcJvQ1ev1rkT4RXhwsIUtPC0WPj1+6aWXuma/jIyMdOyTn7f4+v+cvs35x1W0hoyRZIP4QYgVhujbt6kHIdvcBtWRMcxt4wjHwY9ituUMRBSzb1uRsvvkgVHJMXuSB6uPXXHGUDR6fM4UEMYxphKd+ljrpNMQ6yfuX1prYpLCv5VDD0DelDTCmJbBFrIVcigBIQWWTK5FSjwxPdat79CtL0sTyicWzq0QTFhum6V1K+SxN2xDpn6PKSVRCrFLn+JK9DyaJwQGnri4GUogtaZHNmcHso/YvtRHbN/GIArwblhqn1ytVpmZmeHRo0cd+/GNaJ88qA7LsOuSnxYbr2rdwiKkEZaFo0zHjh1j3759G/KJA6y9S9gnn3zCxYsXOXz4MIcPH171/dYmKRupG9HOoMnlckxOTna9IWwRluHARj3vVxPDdFwuzX5pi48fP37MtWvXsCzrmYuv37s1zb+9dA9bqaR4DWLyUmAIjXv9BkYYkolCaoUiGa+Bez/E3LWDKIZGw+P4kZ24S65LSkg6FfACmLKLYL0FicaLY0SLfCAgbgUt+lGMYSnmvN73szy93L2S3zHUELZ/U/3k3zufN3qL+aWAnCkJ4riV5p4Qng5har0vWtj16NINf5K90hvpj6PSjQOUSNfi9CJGCwlM0oEJsZVMiKIQrVG0BXk5PQT5o7axoutKFEWr/hBOCEGxWKRYLHLw4EGiKKJSqWxI++RBiu43EzY1YXkRCqV+hMX3fc6cOUOj0VjVUaa1wlqNFkVRxMWLF3n48CHvvPNOx750tbFwJGwj4MGDB5w9ezY1g+ZFOA83CrZ+h42BpeLjpcXX+fPnO9kvabP712aq/JPv3ES2kuPjWOO0yELj8Sx2GOAqi6yEWAhc08FpNvBufUK8ayc79pfIZRaTo6whu6baA+QtRWMhYWmlvCsBSkqaQdy1+NVaY0a9C0g7ZZQsGY/qk+sCfT8fa4i16LldhhRkDUnYIjQCiONo2aRUmoZGLHH86gZ7Ba5ephJEPd0B2t+VnqsS6ycdGLfdgRGJU5shkyVEPe674ysYB4P1mRpQSm1Y++RBELytDssWhg5Kqa66jtnZWaamphgZGen55HujYS1GwhqNBlNTUwghOHHiBJl2kvEaYOFI2DBDa82VK1e4c+cOb731VmeeuBe2NCxbGGYMS5HSD0uLr27ZL6Ojo53xsXb2y1zT47PfvMZ0zSVvGURRYlWsY01kSIzQp4FiJPDwC3lMHWM0m9S8EGFJMpbJ3m3LH3RlTYN6jzmiIE5Grtqi8kYYd95bsnqn1xdso68NsK3kYiK0BI6S1PtltxiqZ+cHEv2L2+f+EsbJWFpjwXbXghgrjDDiOBG4owniNknoflzZhsRNIRpyBYdkmBoC2V/vA727NFrTIW6mFEQ6IYxG+6EaiU4pTWzfxjCMOXezT24L+D/++GOUUkNjnzyIDks7h2UzYYuwbHAopXBdt/N3rTU3b97k2rVrvPzyy+zfv39D3JBXgtUeCXv8+DFnzpxh165dvPLKK2t+gRVCDH1x7/s+p0+fxnVdPvzwwxU9wdnqsAwHNst1YAvLs1+q1SrlcrmT/ZLJZBgZGeEfX67y8UyTsaxNHGvCMMJRAmUaaA0RElPHRKZBJvDwmwG+YRApA0tr9u0sLJNoGEJ0JQ6mEmSVohlFNIN42XN9x+jvzqX6dSZSxPJ6BdqTtE6DY6ie3ZX255cSqraWpk2Esqak4QaAxlISW8mkGyNaw3NapOpOhND4Kc/lzBW4kKWFZ7aXE6XsN9XK2FnoQmYIwZ7cyh+CrpaG5VmxsIO5b9++obJPbjuFDmIkrP2AY7NgUxOWF+EGvXAkzPd9zp49S7Va5YMPPqBUKq3z2g0Wq1XML3S4eu2119i9e/fAv2OlGGbC0jYgKBaLTE5OrvgCvhkIy2a5lmz032HQ2Az7Y+Hs/qFDhwjDkNnZWf7+71/l1N0qGampRgGRFuQtE0OppGiOY/x8geKjBxiexjUMYqXwI7CJOXhgJ7a1/BwvOWany2DIJIG9EUZU3AjhCBpB9+tX1lDUenRllKBv9yMtWyVrGvh9rpuGEK3l9z6PdQqhyRjdnc/EgmU+WUWBH2n8RR0bTdZQoJO8FGhnnyzRwKwgcFIJQbCCUa9+aAvy+7+pe1aMBkbtpyMs691h6Yd+9slXr17Fdd1FI5iFQmHVtqddzw1CdH/gwIFBrNLQYFMTlhcB7TGpSqXC1NQUxWKRz3zmM5tiBGwpVmMkbKHOZxisnoUQQ0lY7t27x/nz55/JgGCYSdhK0S5sNzJx2cjrvoWVwzAMvvHI4+R8TKmQR2lNEASYcUit5hHbJgJJLCQ5x8LftRdZfoTnR8RoHKnJjI9TeuUwnuctXriGIIrJGBI/jpnzAtoFt60EzR6ERKD7Pu3PW0bfcS9D9ReYJyGMvfdJxpDUexApSDoN/bJfoLs2RWvdcQlTQuCGEb1JUSJorwYRbbMCKQROS+zetjDQXcIZF39peuDkSgT5llLpbmZKdg3xHHcM1Erm1lpYC9H9ILGe9snte+XWSNhybBGWDQ4pJfV6nT/6oz/iyJEjHDx4cNMWJoMeCZubm+PUqVOUSqWh0fkMW9p9HMdcvnyZe/fu8fbbb7Nt27anXsZm6LBsYfNis10vP7o7w/94+ja6pTtAC4Rh4kmDHUWTWsMDHYPvM12tUco7NLbvJhuHaA1+Jst3vX2QmttcVHsrIShaimoYLRi/evKGvGn07KAULAO3T9egX20thcbtQzZIIUOwxNmrCywlWiNP3SFEd8G+RndG5mxD0gj6f0+45DoYa524loXJ3w0hcEXUshyWoJen1ttGd8euhViJIF8JSE01E92XsT37dAGnw95hScNa2ie3yd3zXpe2clg2GDbbjWgpgiDgzp07uK7LBx980GlnblYM6km91po7d+5w+fLloSN5w9SN8DyPqakpgiBgcnKSbDb7TMtp79uNGIi52bBFHBdjs+2PxzWXf/D714g1OEIQxxo/iBCGYputqHshWdvE80Jix2BPPsd808OyJPNujKEEewoGNbfRcYaylQAEFTdI0s67jkXpvkV0v2DCNK1F1jT6dj9yptHfPUyKvmQJ2qNZvZExVPd10E9GwsKU67YpRaoI3jYk9SDCjyPa4ShKCBxDYkqZkCOdfn9IS60X9A/YhMR6udtomq0kxRVkryzERicsC/E09smjo6OMjIw81bYPQnAPWy5hWxgizM3NMTU1hWmaZLPZTU9WYOUhmf0QRRHnz59nenqad999d+hEacNCWCqVCqdOnWJ0dJT33nvvuQSHC+2atwjLFrawOoiiiJ/7nQvM+QFeEOEAkRAoU0EQ4QuwpaDR9JGmgRNF+LHAsS3CKGa0ZOOYitf2FphveoRuk1jH3LivsW2H0XyGehDSbeSpaJs9SYUpe+taADJm/3GttCtGWiloK9mXTFhSrECwvxwa3RkJM1awjCRMs//9qxvRiLRuuaxFKAEgsJXEUgmB6YRetrASQb6l0rs0Vg8iuT1jPvV1fDMRlqXoZp/c1r9cuHDhqe2TBzU+t0VYtrDuWNgdOHz4MCMjI5w7d269V2tN8LzFfL1eZ2pqCqUUJ06c6Fh/DhOGgbC0AzMH1X1aaNe8WW9aGwFbZLE7Nst++dw3r3BtrknTj8igkaaR5K54ATsci0YQJhoJJQm8gJJjUg9jLEOipEAJOLp3jFIpSyav+WR6Ft9zMYWkWq2ia7NowyKjNVahgJHJdvad6rMP85bqSUjS3L2MFDG+FPR1HgPSi3dDEvaJepeSnt0VSMbF7JaFcz+kvW7K/jkyALZKgi/b/0FC6BwjITASgWIFo14pgn3o3XXaln36cadhcwlbTdi2vSwA9mnskwfRYdFa02g0tgjLRsJmuRG1EYYh586dY3Z2lvfee4+xsTHm5uZWPZtkWNAu5p/lSf2jR484c+YMe/bs4dixY0NbOK+n6D6OYy5evMiDBw8G2n1aOBK2EfHJJ59w48YNisViJ+diPT36nwcb9TfYQhcEAWJ2Fp3L8a9uzPB7t6ephzFGDMpqjUlFMVkpaXgB2lDoWBMHIbYU1MMYxzLw/BBLSvaOF9hVzDDd8NGtvoZSKkkEF5rclcvoixeh6aKloLFzJ83XXyeXzzNPBqW6lxP9CvW8ZaS4f6m+YvycoWj0KfJt2X2EbfH69b/eZlT3/JaOEQcrEbjLvi5mAJaUBHH/e/lys+iEejTDuLOObec2S0mkEMs6MFJ0H/VaCEN079IUTEXGePpxMK310N5zVxO97JNnZ2c79snZbLZDXkZGRrZGwvpgUxOWzYRqtcqpU6fIZDKcOHGiUzANYkxqo6B9Ej/N05o4jrl27Rq3bt3i9ddfZ9euXau5is+N9RLdu67L1NQUcRwPPDBzoxKWNoF7+PAhhw8fxnXdzk0mn893yEupVHohb8abARvtmARAa9TXv47xq7+KePiQj0o7+R9f+i6aE9swhcRUibjb0OCGEcpUhEoiYt1Ku9eMGIpISYIwIqMkjpIUSlmaUdwhKwmSP49fuoA3dSb5m1IQxxTu3sMOQoIP3uNhtYphKGzbwbZtbMtCSEnG6GfRqzGlWPIAKrH51a3tDKI4GYPSC6IYxZMxsUhrzFbqfCIQT5aXpNYnYvp+HRZbpY9ypR0i1kpS6SX09Q2AVMcuJQReipOZ0xrjCmPdITBPOjAKSUKM0kwKDCUIu4j2tz2l2B6euF5tXSMX2ycfPny4Y588OzvbsU92HAetNXNzc89ln7xFWLaw5tBad4qkQ4cO8dJLLy3qLrQJy4ugD2ifuCslLJ7ncfr0aTzPY3JyckOcvOsxEjY7O8vU1BTj4+O89tprA2/dL/zdNgrahgNhGPLhhx929snhw4fxfb9jcXnu3DniOO48IRsfHx/KUUPYfB3nFxXqt38b64tfRGvNo/Gd/NeFI3izFXQYE2/bjnIswiDEDyOKlkEz0mSUIAwjvCAkb5t4OhljwgupRTEHj+2mYBtLtCYtB6w4Rp4+DQiwWgWrUhCFWNOPGUGQ37kTz/fxXLfT9bcsi215B2VnyNjJ50KtCeOEiPhRjB/png5elhLEuvfwkikFuk/WJIAfRWiSjoOSAqMV4tjaulS9hxKiZ3HfJruJNqX3tW0leSeWTO/AOEpST9HAdHMaXtqByRhJmKUpJQiI4yfWzJ317WqsABOZpy8ZtwhLb3SzT75+/TqVSoXTp08DLNK/rNQ+OY7jrZGwLawtwjDkwoULTE9P88477zAxMbHsPc/SddioeJrCt12Ej46O8u67765ZSu3zYi0Jy0I91Msvv8z+/ftXtajdKE+z5+fnOXnyJCMjI7z//vtIKfF9v/O6ZVmLZpRrtRrlcpkHDx5w5cqVTot/fHz8qR1itrD22FBELgwxfu3XQGvCw4f5W9ZRXCuDqyWiWqWwbZy667cKdJmI7y2TZsNHKYFpKEQYkXNM5ucbYBoc2DOGbRk4Si4JOkyQ85o0hUzEHAuhFIXqPM3ZCmJiGxnHppTLIBG4gc9ctc7DapPGdAUhRNJ5aXVglFIULINmn7ZD1lRU+0S+Z03VEqN3RxL0GAO9k+NtQxJrja1kZ58Jkq5KqDWOIXtqaNpXszQy4hgydWTMTMmRgXQns8TVK92pLOl4PUmtlyQkxmgRGENI/C7fNeqYCcl5SmwRlpUjk8lQLBYBeO2117raJy/Uv/SyT240GmittwjLRsKGuhEtQa1W67iA9ROIt0nKoOYehxltb/J+I3Baa27fvs2VK1c4evQoBw4c2FDHwVoRliiKuHDhAo8fP+7ooVYLQogNk8Vy//59zp07x0svvcShQ4dS11sIQaFQoFAocPDgwU6Lv1wuc/HiRYIgYHR0tDM+9qzW0IPCRvgN1hIbbn/MzSEePCAeHeWz5h7uS4u6NDDjmGwYUK+75EeKzLoBtpI4tkmj4eHYJp4fogRkLIPpahPHNslmLLaN5bBVO9DwCRIDLEG2kMWTCuIIeHKP0XGM4zXRpsIF6kG0iGCMlEo0o5ii1gSBj+t61Os1KpVZDMNE5zLEpo1lWV2v0Wki9bSQdksJvD4NCceQHZvhRg/tiECjoWMpHOsk00W07LkU8QrGwWRiU9wH6YSmd6enDceQffU+kHSDlhKwGKiHMW0Ckzdkx/lM6/a/wrbMs2WLDCpX5EVBu5brZ5988+ZNzp8/v8g+uVQqdWrAer0OsEVYtrD6aKeKHzhwgCNHjvR9MtF+7UXRsfQr6MMw5Pz588zMzPD+++9vSKvntRDdN5tNTp06hRBizdzShsH9rB+01ly9epXbt2/z1ltvdVr0T4uFLf62Q8zMzAyPHz/m6tWrOI7TIS+jo6Nr+pBhq2DYBMjlIJvlV3WRb4gRItNCxxodxUSmTVZJyg0f2zYoCIHnBlimgesF5EwDU2vm/QDDUMSx5qV944CgZJtduhkaoTWuMtAHDyCvXUP4Phm3QRhF1LXgwfbdeDv2gB8uW1VDCYiS486ybCzLBorEcUzouzQ8n2Z9ljiOsS0b27GxbRvDMMgY3YXubVhS0Ow7HqVTk+uTTJne71FSMOct3652Lgo6hjixGo6WjFV11kLrrknxC2ErkSqCX4kgP90AOj1AU6BpRvGiyBxTCnKmYsx5tnJxyx3y6dDr4XOaffJP/MRP4DgO3/M938Prr7+OYRgDMYf54he/yOc+9zkePHjAW2+9xS/+4i/ywQcf9Hx/pVLhp37qp/g//o//g5mZGQ4cOMDnP/95/uSf/JPPvS5bhGWIEEVRR+S70lRxIcQLJbzvVfgu7UhtVBen1Rbdl8tlpqam2LFjB6+++uqa3UiGucMSBAFnzpyhXq/z4YcfDuyp1EKHmP379xOGIZVKhXK5zJUrV/B9n1Kp1LkJZbPZLVKxDthQ+9xxOPuZ7+dLpx4RxzHNGGQcM9Ks42YLVE0bS0lUEBFZRjJGFEXYUlALQkYMRRjGmIbi8L7xZEQM3bVw1xpKliKKwXn/PfSDB8yXZ5kXJhgmYwrm/9gfT/QsS6AEPce1pJRsLxWp+RFFNGEQ4nkerusxPz+PlJKJnENsJuNj3a5RWVNR6zMOlhY2CeC5HsxWIJOBLp3PjKGodSFi7VwUPwioRYIZN0jGqkyFJUXizEXSIXLMdJcyQ0q8lPt3mDYOJkjtwCROZSnja0ots4kOYk3WUMhnPE+2CMvTYaXTMkvtk7/whS/wla98hd/93d/lC1/4AlEU8Rf/4l/kB37gB/iBH/gB9uzZ89Tr8iu/8iv8+I//OF/60pf49Kc/zec//3l+8Ad/kMuXL3d9qOf7Pj/wAz/A9u3b+Vf/6l+xZ88ebt26xcjIyFN/dzdsasKykW5ESzNCnsalSUr5whCWbuTswYMHnDt3jn379nH06NENfXFcrU6E1ppbt25x9epVXnnlFfbt2zfw7+iHYSUs9XqdkydPkslkmJyc7DkTPAgYhsHExAQTExNorWk2m5TLZWZmZrhx4wamaXbIy+jo6KrorobxN1hPbLT9UXV9ftbcS2UsBreJdJugoZHJE+3aCUIQ+iEjtkndD8laBtWGD1KQ1Zp6rHFsg2LeYayUFOmjjtW1m2FLjUbQCEKqsYD/xw/Bo0fISgWdyRAePoDW3e+xRcug1k+I3vq/QGCaJqZpks/nk1wW3ycOParVKrOzs5imiWPb2I6DZZogRKqew+imPu98uSb/0R/hX7qMGSaEJN6zh+i7vzshLy3EKd/hSMGsaOkqSQhafeE6iETULwEpBJGmNWC2GP26PLCyfBanlc+Stpy0Mbtee21X/undwdrYIixPh7ZhxdNACME777zDO++8w0/+5E/yjW98gx/5kR/h8OHD/NN/+k/5K3/lr/Dyyy93yMv3fu/3UigUUpf7D//hP+Sv/tW/yo/8yI8A8KUvfYlf//Vf58tf/jJ/+2//7WXv//KXv8zMzAy///u/37mXHjx48Km2pR82NWGB4S2UFuL+/fucP3+evXv38vLLLz/1yf2idljiOObKlSt88sknvP766+zcuXOd1+75sRqEJYoizp07x8zMDJ/61KcG9rTjaTCM5+Hjx485ffo0+/bt4+WXX17TBxxCCLLZLNlsln379i2aT75+/TrNZpNSqdQR7+fz+YEFeG5hY0JrzX/9W2e5WWmS2bcHz/VoVJuM2wZeLkuswWiJDtxYk1WSOTfANCSuG6BsE6kkWsOhPU80a2pBca9k4kZV9UKqXkjDMCg5C87b7duJt2/HUpJ6D7IC9J1OMoTo2X0RQlDKZQhih0wB4ijC9Tw8z6M+U0ZryDk2nuNgOw5GjyfR/ex/5dmz2P/+WwSlJyPD4t49jK9+lfBP/2kQiaNYo08HJ9mO/kNYYRwz74eLNC6OkjgtgbtGY8gVjIOlWDPDSmIg0zVBgu5dGktKJpxnf5DzIhgCDRKD0CMHQcD4+Dg/93M/x9/7e3+PSqXC7/zO7/C1r32Nv/k3/yY3b97kzJkzHD9+vOcyfN/no48+4id/8ic7/yal5Pu///v5gz/4g66f+dVf/VUmJyf563/9r/Nv/+2/Zdu2bfz5P//n+Ymf+ImBHAObnrAMM+I45tKlS9y7d4833niDHTt2PNNyXkTC4roup0+fJggCJicnyeVy671qA8GgCUuj0eDUqVMYhrGuo3LDpGHRWnPz5k2uXbvGa6+9xu7du9d7lRbNJx89epRms8nMzAzlcplbt26hlOqQl37uMGkYNtK4hZXjl37/Ct+59oDc3Cyu6+Ij2Z7LMlcYx5YSEUa4fsiurEXdD6kplSTFNwNGMiZ+rLEEHNk/gVLJQzHHkNT9sJWSDjNuwFzrGMmbCrfH4VKwDWo9rLcMKXom2wPkLUmtjyWWYyiC1iiWVKpD7AEC38eMAyqNJnNzcyhD4bScxyzbRgqxwB2sC+IYdfYsgb1Ytye0htlZxN276L17yRiy5/a14UVxV91KGxlzuQ7HjeJFpGDEMtCClvuWpkv0CSmTba0gyP7raq8gK6aXI9rOXHdThJViq8PydBgEYanX6+Ryuc7vNjIywp/9s3+WP/tn/ywAN2/eTJ2ymJ6eJoqiZXXpjh07uHTpUtfP3Lhxg9/+7d/mL/yFv8Bv/MZvcO3aNf7aX/trBEHA3/27f/e5tgm2CMu6odFoMDU1BcCJEyeeyz1IKTU0xeBqQynF3Nwc586dY2xsjPfee2/DWBavBIMU3U9PT3P69Gl27drFK6+8sq43jWHpsLS7TbOzs3zwwQeUSqX1XqWuyGQy7Nmzhz179nTSkdvk5cKFCxQKhQ55KRaLW92T58BG2He/d/UB/+qPrmPcuIEnQWtB3vNo1utkA5/mtmQcLG8azDQDbMckbPoIAZap0H5IJu8wXsxQKjwp1ouWwgs1M01/0fdpDYHWILpfM/qJtwuW0Vdf0muMrI1+I1KmZVGwMhjZPLHW+J6H63nMzc8RhckozXjOITJsTMtELO2BNJs4lVm8Lg+4tBCI2Vn03r2pDmS2Ial6/bPPDCF54rHVHc2o7TKW7C8pINsKeWyHZKaPg6W7g6XlzQA92zQ7c88+DgZPXMK2sDIMkrD0wiDHtBYijmO2b9/OP/tn/wylFO+99x53797lc5/73BZh2ah4+PAhZ8+eZffu3QMpJF+UDkt7vvn69escP36cffv2bYhi42kwCD2S1pqPP/6Y69ev8+qrrz6T2G7QGAbC0nZHk1IyOTm5YYwZFqYjQ+IO09a+3LlzByFEx5d/bGys53ZttnNlEFjvY3IluDdb5+9/4yLy4SOM0CPM5iGIiDIOyjRozDewCw20nQE0pmXQqHk4tpFYGcsYI2OhtGbfrhEgKYrDKKbcDLoShBHH5GG9q56eXJfOwUJ002m0YcreYnxI8kD6FeiWEp3vlkLgOE7L5bBEGEV4nkvd86nNVVvZL06if2llv2Db2HGI32XZQmt0LocUIlUPYslktK7fGZXW9cgoibeERMQaakEMrQ5VwVLEOtluKZJuy9K9q1fgDpYm/Jd0HwdzlGTUfr4ycavD8nQYxAhdGmFZCSYmJlBK8fDhw0X//vDhw57j97t27cI0zUXrf/z4cR48eIDv+0+tzVmKTU9YhqFQamO1NBcvAmEJw5CzZ8/ieR6HDh1i//79671Kq4LnHZ1q76e5ubmh6iCs90jY7Owsp06dYvv27c/kjjZM1xHbttm9eze7d+8mjmOq1Srlcpm7d+9y8eJF8vl8Z7ysWCwu2tZh2YYtrAxhGPOzXzlDM4hR1XnmrSxGEIGSZHXEvJY4sUtQrsDeLJap8NwA21K4XoBjmxQFBEHIS8d2kzENYq15VPcYz1j4PQpz20iOmW4kN9Mn0NFSbX1K9yI6Z/YeJYNkdKlfZknW6O0OZihFoVjAizQFrfEDH8/1qNfrzFZmMQ0T27Fx3nwLffNWMgbWghYCbBt94AA5s7s72EIEsU6IWY+HAI6Sqa5dhpJ4KVbFQaRxo5h6kPxdAFlTJiN8QhBrnUqMnJW4g/XIcNnxnONgsEVYnhaD6LDUarXndru0LIv33nuPr3/96/yZP/NngOS3/PrXv86P/uiPdv3MZz7zGf7lv/yXi37zK1eusGvXrucmK/ACEJZhQbPZZGpqijiOB6652OyEpVarcerUKRzH6fsEeTPgeQr7er3OqVOnsG2bEydODOQCMSisZ8F/584dLl26xLFjxzZdV05KSalUolQqcfjwYXzfZ2ZmhpmZGc6ePUscx53Oy2a+RjwPhvl4+Af/7izXZ+qEYUhg2eTqdZqZLLnQx7UdVBwRugHxiElRCoIoKaTDKMa2jFb6o+TA7hITBYfHDa+zbNXDSUuJRHDe7XzV9B9RypvGsgDKhUhz3kobW0oPi0wsgoUQSbaLldwr4jjG8zwiz+XO0ZcZq9XJPn785IOZDOH3fz8olXqdSr4jBt27t5EEPfZf1yDlOt8tLFID9SDuaITypkQjsJVIHOK67CBDilTC0muTd2Wf/x6yJbp/OgyCsDQajYHY8//4j/84P/zDP8z777/PBx98wOc//3nq9XrHNewv/aW/xJ49e/iFX/gFAP7z//w/5wtf+AI/9mM/xn/xX/wXXL16lZ//+Z/nb/yNv/Hc6wJbhGVN8PjxY86cOcOOHTs4fvz4wE/ezUxY2snjBw4c4OjRo5w+fXpT63WelbA8evSIM2fOPLPT3GpjPQhL29Ti/v37vPvuu53Arc0My7IWefNXq1VmZmZ48OABc3NzVCoVwjBkfHyckZGRoTtO1hrD3HH6tdO3+Nq1xwRRhCEkZiFP1QuwwhApBEEQYgQ+DdvGyGSINLh+0lXxgxCpIRPHOJZBYbTA48aTQSjHUFR7dBFGHbMztrW0IC9aRt/xon52w5YAP9SYio62RCA6afKGTMbJHCUSnYtI/q61RuvkE40w7LJWT9BL/yKlJJPJUCjlqQUR4Y4dzD98SPzoEb5SeNu2YStFptlEa6cvibUNSeBHaHqT3fS8E5E6pmWv0B2sHkSdDowUSUaN1SKjoX72cbCMkow8hztYG1salqfDIPZXvV5/Ll10G3/uz/05Hj9+zM/8zM/w4MED3n77bb7yla90hPi3b99etK779u3jq1/9Kn/zb/5N3nzzTfbs2cOP/diP8RM/8RPPvS7wAhCW9Xx6FsdxJz17Nd2INiNhieOYy5cvc/fu3UXJ45s9c+ZpRfdaa65fv87HH3/M66+/zq5du1Zx7Z4da01YfN/n1KlThGHI5OTkQC7eGw1CCIrFIsVikYMHD3L+/Hm01oRhyMWLFwmCgNHR0Y54/0XcR8OKa4/m+OffvkqsY4hiItOgWhzFqTVQc/P4QiBlSMO0MIpFbMvBDWMc28T1QhxTEjc8PENy+MDEss5GyTaZ94PuX96+Z+rlI0+2IfG7jHRJwDYlmqQYj7QmijV+pAnimCDSjDkms1439UiCMcek4vVYp9br816IIZN8E0Mm9sNKSJRMOkOapHPUyxQgbHVFTMPA3LMH9uwh09JGep6HV5un3M5+cVruY6a1aDe0uxi6y/6BdnL9SkIc+78nhWcgBTSXuLHFmkUjd1lDgNaJC5novsx+42CDwNZI2NNhUKL7lQSPrwQ/+qM/2nME7Bvf+Mayf5ucnOTb3/72QL57KTY9YVkvLLXdHVR6djdsNsLiui5TU1NEUbTMQW2zO6I9TYelndBeq9X48MMPVxQEtV5YSw3L/Pw8J0+eZGRkZNO5yD0PpJTYts3hw4fRWlOv15mZmeHx48dcvXoVx3E65GV0dPSFGeMYtpGwRjPgZ/7PU1S9iKYXYkhJrDWOadDYtpNtpSKzTQ+pJFY2R10a5B2TKIoJo5i8KanONTBtk4MHtyWjYUvQqxNhq8TmGLqbRjXDGEMkZEGj8aOYZhDjRhET0ma64fbcrrSwRy/l+hC31iiMddfRp1HHYM570jUylcRWEksKlJQooYljFvR0EkghcGwbx7bJWWPMN31cz02yX+p1tNbYLeF+PpvBDZ8cL92OHFulJ9endU4MCc2wtxYIIGOovgYGAEpK5v2ItguZKQVZU2FKQZxE9vQcB3ted7A2tgjLyhHHMVrrgWhYDh8+PKC1Gh5s3clXAdPT05w5c4Zt27Zx/PjxVS+YlFJ4npf+xg2AcrnM6dOn2bZtG6+++uqyE3e9xdurDSnlijoRtVqNkydPks1mOXHixKomtA8Ca9VhefDgAWfPnuXw4cMcPnx46IrRYYEQgnw+Tz6fZ//+/YRhSKVSoVwuc+XKFXzfp1QqdcT72Wx2a1+uAbTW/PSvfsTjhk+t6VOwTHxTQRjjBSETGYvHpiI7OkbgB7hRzLhtUPcjMrZCNENmPB/LsdgzlmdibPmDspJj4vYoqEu2uXhUTGtsQ6KEwJAw63Z3FQMI+tkRy95hkZC4gy3tFiyEIQT1lFyUpSQgiOJF6zTimMy17pO2kjhKJu5bUqB1QoSaQYRSklw2Sy6bRZM8GPJcj2aziTdXITJMHNtG6+6kbiWjXmlhkRmlqKYI8sUK4iKXdnqCWC8idRlDInQSYBkt2J6MkozYg7mnbGlYVo72g+fn3V/NZnNTdsw3PWFZy5us1ppr165x8+ZNjh8/zt69e9fkezfDmNRCK95XXnmFvXv3dv3tpJSEYX8Hl42MlRCydlHe1vVshEJytQlL+9y7devWohHCLTxB38wIw2BiYoKJiQm01jSbzY518o0bNzBNs0NeRkdHN03Xatg0LF/+95e59Gieuh8yYpv4UhL4IYYAR0M9jHFMg2bDwzIVsRBEYUzONmnMNwmVRBoKIWDfwYmuJW3GUD1JR6g1SghsQzIbRbhhzKN6Msa1LWv1/FzGUH2tgIu2wbzXj7AovKj3db1g93Ymg8SdLC2ZfuGYmBfFy4r5vKmItMZRElNJQBBqjWWaWKZJoZAnoySVRhPP83CbDeI4Znp6GrvVocnadqo7WBLimDYOlpZKr1OzV1ZCjKSA2RaBEWgypsJRiu0DENu3Ecfx0D9QGxa07/3D4BI2jNgcd50hgOd5nD59Gs/z1nw8Z6OPSQVBwNmzZ5mfn0+14lVK4fu956A3OvoRFq11RxP15ptvLkugHWasZmcsDENOnz5NvV7nww8/3JQX6kFhJQW6EKKTLr5v3z6iKKJSqTAzM8P169dpNpuUSiXGxsYYHx8nn89vCNI87Pi/Pn7Evz51i1oYk5WJE5UfawwBcTPAcgwiQ+E1fWzLwPUCCsQ45VnKzQAzlyHI5DBtkw9f3ZtY9S6BEqKr2N4QkoIt8cKIiheiXZgNIjKGxiQpbPtZ/eZNRaXP62mHXVoBn4asqZj3en+/kjJ9fEoIakG0LGPGUoKsobBl0tPItbJfpJQEvo/tOHieR61WwyEGO4Pd0r90KzzTkuuVoEX++oyDmYpGn45Ust7po2kLoRE0gphGEPPO9sHVL4PQZLwoaAvun/d6Wq/Xh3pE/FmxRVgGgHK5zJkzZxgbG+Pdd99d86ePSqkN23WoVqucOnWqM9qUZsW72UfCeonufd/nzJkzNJvNDVmUr1aHpV6vc/LkSRzHYXJycutJXh88601QKdXprhw9epRms8nMzAzlcplbt26hlOqQl7GxsQ33GwwD2SpXm/y3rbwVEcU0tCbjWHhegIhjpKlQShIHIUpJvCAk5zXIXr7CnO2gEHjz82Qsxfa3j1MsOl3zTsazVoewSARZS+GGERXXxzZsZt0n95HkdE32zYhj9iUs/VyxTCn7Zq886Y50/x2k6B82CekdibypmO+XraJ1SzOyHH6k8aOQkm1QdZOHZbYSRGGAIWCkkCfM5RLtQRxRqTeo1+tUKhUMw+h0XyzbxlSyNY7XT5sik/DIPujhSL1kvdOWobsGgGYMyURmcOfwloZl5RgUuRtEcOQwYtMTltW8GWmtuXHjBjdu3FjXjIeN2mG5e/cuFy5c4NChQ7z00ksr2nebYfytH7oRsvn5eU6dOkWhUGBycnJDjuOsBmGZnp5mampqaK2cNysymQx79uxhz549xHHM3Nxch7xcuHCBQqHQIS/FYnEoCEEvDMNImNaav/urH1GpucRSoqUgJyVzTY+coWhGkJMCNwY/iLAsAzuMsa7doG5aBMpCCY2tY/JunVdvXaT2Svdg3cTFSyEFlJs+c22nMN2teNUdEyzV5zfMGLL/OJhl9CULedOg0qc7UrBUJ3ekG9QK9C1pyJmKelrrYwG8SDMfJALpuOEjgaKtEIbB+EiJSGuCKMl+8TyPSqVCHMeUHCvpwNg2pmnQjbikH5G6r94HEhKYqpMxuu/XvYX+ts5Piy3CsnIMwtJYaz2wHJZhw8arfIYE7SfejUaDT3/60xSLxXVbl43mEhbHMRcvXuz4ej+N/d5GJWcrxVLR/b179zh//vxTkbphxCAJi9aamzdvcu3atVW1C+/2vRt1/7cx6AJdSsno6Cijo6NAMhrb1r7cuXMHIUQnuHJ8fHyowkyHBf/kt89z6W4FwzSohxGRH4JjkjMUNS/EVpI4ihPbYstAuAFRtQquR6M4giNiAgQi1hw2A0bu3eFRswmZzJMvETBqGdT9sCt5GHGsrk/bAZSkZ2YLQM40nxCfZ0Bad0RJSeJn1R15q3emDCTOw2kdGlPJvrNaApZpZJJzKbkexECsBdPNJ/vBUZJcJkMplyXWGtcPUZFHpeExPz+PlALbdnCcxIFMSpV0PVLISNaQNMIUYb+U+Ck1Qa8r2b6C0/dzT4stwrJyDLLDskVYtgDA7OwsU1NTjIyMDMUYykYiLM1mk6mpKbTWz5SPsdlHwtrbF8cxV65c4ZNPPnlqUjeMGNTvFkUR58+fp1wup+qdtrAYa0G2bNtm9+7d7N69mziOqVarlMtlPvnkEy5evEg+n++MlxWLxaEoZNaThP7epbv82lQSvjbvB8RBxGjGohpEeCRaBb/po3M2VqyRXgBK4voh0raxpSbSYEYRhy2fTBRTdbLQdhuSrQ6GGxBpenY6HEMuIyztkbCS3X8crJ/+JNGF9P6sKRPdSG8kzl39kPbr5U0j5TuWu2ktW4ZlLCM9WoNcNJu1mES4UbxIgG8riWln2ZnLJ7biTQ/P96hWa8y2sl9KGRttOliW1fO4lELStinuhWAFov1uBNVRgx0Hgy2XsKfBi0xYHjx4wGc/+1l+/dd/nbt377J9+3befvtt/sv/8r/k+77v+zh48ODmJyyDvBktfLL78ssvs3///qF44rpRCMv09DSnT59mx44dHD9+/JlOzI2yrc+K9sjbd77zHXzfZ3JyclPMog6iw+K6LqdOnUIIweTkJI4z2CeBWxgspJSUSiVKpRKHDx/G931mZmaYmZnh7NmzxHG8qPvyov2e92br/ON/d55aMwBLoXSi96i4AYZlYMaaZtNnNO9Q8wIsJQkRuA2f0ZE81YqNFYYoBONGzLgM2TY/x9y+A6hCnrxlUG741NwkG8U2ul9vBb06EMlImOxzj3NUujtYP/1K3lLM9XEPK1hGz84PtNa9z/dD/3E2SLoR/b4jWUa3f12Y5ZLexbGVSBy5vPYyJfl8gfFSiTCKqLsuoe8xX5tZlP1i286iMeC0wElDgpsi2s8a3Ufgduftvr/3s2Crw7JyDIKwRFFEs9ncUITl5s2bfOYzn2FkZITPfe5zvPHGGwRBwFe/+lX++l//61y6dAnY6rCsGL7vc/bsWarVKp/61KcYGRlZ71XqYNiL+IVp7M9r97zZOyy1Wo0wDLEsa10MHFYLz0tY2l3NiYkJXnvtta0b4DNiPTUblmWxc+dOdu7cidaaarXKzMwMDx484MqVK2Sz2Q55GRkZWZPfeL32RxTF/L1/8x0ezjZwshZuGBMFEZYpiQ2T0A+RgGUoGq6PaRo0mwFCgG0Z1KMIZ2yE8ME0NiEHZQOaEdIyKbzxKo+DiNoCXUjJMXsSixHH6mkJrKTo7w5mKeb6vJ5W/OqU/oilBM0+Wvmk89HHnQx6iunbyJgSz+tzT9Eat0txnwTdJ+ufM/vbLkMSWLkQkYY5L2Su9XclDYrFDMVRQeAH1F2XZtNlbm4OpRS27VDM2riG3ffccJSklnKP7PW77C3YfT/3LBiELuNFwaBS7oENRVj+2l/7awgh+MM//MNFD2hfe+01/vJf/sudv2+OamiVUalUmJqaolAorMjJaq0xzISlTfRqtdpAtD6bmbB88sknXLhwAYC33nprKLp3g8Lz/G7tcaJh6mpuRAzTfhNCUCwWKRaLHDx4kCAImJ2dpVwuc/HiRYIgYHR0tCPe3zQhaFoj7t/nv/udy1y4O0feMZnzQ3QYk1ESF0Hk+piGwvMCSpZJUwoadQ/bNvD9CKkjVMairkexd5scC8sYzZBthSyP3ngLb9sOWOLalTEVjZ7p9oJGFwmK1lCyDMI+pK6frrt35yaBFFDv59wFeClaDZVSB+dMldo9CVNS53OWotllPRJNW/LnNGIm0KkdmIxhdDJRAJTpMJbLY0pwXY+661KtVKiHMZZldbovlmWysJuSsjmJwUKXesGUgh3ZwROWrQ7LyjGI8bmNRlhmZmb4yle+wmc/+9mu0yQLmwNbhKUPtNbcunWLq1evcuTIEQ4ePDhUN/022kL0YRMFz83NMTU1RT6fH1ga+zCTs2dFHMdcunSJ+/fv89prr3H27Nn1XqWB41k6LAv3y7vvvsv4+Pgqrd0W1humabJ9+3a2b9+ezPfX68zMzPD48WOuXr2K4zgd8jI6OjrQmfi1umaKmzcxfuVX+NrFe/yGcRClDOYnJjALOZACIQVojRQC3wsomYpQCiI/xLIMXDfAsQ3ySlFueNi2yYGjR9ix51O4XoDvWHjN5RlVAno+/Zd9Xkvrf1hS9tWnFG2jb1ZIwTSo9iniHUOmhjB263wshK36j3spIVKJhKVkzy6NIPnN0kIrs2Z/pzNIulkLEWkWuKcpzEye0dERRqKIZtOl4XnUaklxats2jmOTcWyaYf+yLtODxO3K2cvWYRDYIiwrx6A6LIkL3cawl7927Rpaa1555ZXU9256wvKsN6MgCDh37hyVSoX333+/44IzjGgf4FEUDc0IUfup+OHDhzl8+PDAioLN1mHxPI9Tp04RRRGTk5Od33LYyOfz4mkJi+/7TE1NdXQ8m+YJ+zpjGGx80yCEIJ/Pk8/n2b9/P2EYUqlUKJfLXLlyBd/3KZVKHfF+Npsd/nNldhbri1/kk4/v8fnR9zCEAt+F8jSeBpXNEApB4Ic4UmJJiUAQRjFxrNFxRMaxiMOIahxh2xY7R7Mc2VlipuaCBq26F81jWYv5HgX1WMbqSViEhkaoMXvUT0Xb6D4OpjVSCkwhMGSS99I+6gTJmFZbsC6ERuvuv11aGGTWVC2tRm+kZZHk0vJZSHJYukFrDSJZj7TUeTPF6Qxo5bP0hhQ8cSFTFk7eYXxUEYc+ddej0WjQqMwQGxa27bQ6MBZCLCYLvTQ9qzEOBlui+6fBoAjLhrgmtvA096ThqG5XGU9bLM3NzXH69Gmy2Syf+cxnhm4EbCmGibBEUcTFixd5+PAh77zzDhMTEwNd/mYiLG1dxvj4OK+99hpKKYIguSFttqdSvQIxu6FarXLy5EmKxeJQ6Hg2yoV/s8IwDCYmJpiYmEBrTbPZ7Fgn37hxA9M0O+RldHT0qY6XtSJw6utfJ/6jP+Lv7v1juMIgEoIglyesuZjNBiqToeoFFC2DesPDUJJAClw/xLZNoigm8AIKpqKuYVQKdu8ZpdLqqIxkLSo9dSi9XaX6CdLzxuIS2xACU8lOaGGsNaYQhLEmjGOCWBPEmijWgMYN4t7uW1pTCwz8KEYAhhQYUrb+LzBEQtZs9UT5EevEArnNHywlcPtwDUvJVCKRdmZbUvTs0LQfKq3ke7qNYC2EYwjclPG3jKEIFpArP47xvRgQYDoUMjkKBgl5cT3m5ipEUTI+5jhOJ/ulm2hfiqTDshrYbPey1cQgCEutVttQRj1Hjx5FCNER1vfDC0FYVgqtNXfu3OHy5csD7wysJoQQCCHWfVSq0WgwNTWFEIITJ06QWZgDMCBshpGwhcfZ0aNHOXDgQOc4a/9/s5CyNqSUHTLWDw8ePODs2bNDlzszLOvxPFiN8M61hhCCbDZLNptl3759RFFEpVJhZmaG69ev02w2KZVKHfF+Pp9P/e1W+7c1/rf/Devnf55fsA5xox7SdCuQyyGlwjAkbrWJOSEoCEGt7mEaChGGNBE4TkJWRBQjpcBv+tiOxZ6Xti9ab2VI6EJYlBQ9OwhKiK7dFSmSMEg3fkIY6mFEsKDTYLZYS6/DqWibfUetirbRKfI1tMjOk/cbUjDjBl1DFJUUOErS9BNy0yZdkdaL9ChZQzLXRwgvdLquJGsq5vuK6UWqJfJKyIgtJW6KVXFaXo0bRviRIMIAx2AsX8QgxnPdRP9SnccADCfTGSGTMimOd2StJItmwGiPqm8RlpUhiqLnfkDetjTeKPessbExfvAHf5AvfvGL/I2/8TeWka1KpdLRsWwRlhbCMOT8+fPMzMxsuHl5IcS6J8A/fvyYM2fOsGvXLl555ZVVu0C1gxU36shUuwP16NEj3nvvPcbGxha93t5vm42wpBXLWmuuXbvGzZs3efPNN9mxY8cart0WNiqUUp3uytGjR2k2m8zMzFAul7l16xZKqQ55GRsbWzbXvdoETn70EdY//sf8hr2Tr+44TsOwMaIAo1nDtUw8P2J0NEM9iHCFwDYUjaZHqZAhiDVojSK5HhhuiC5k2HtgAsd5sh1KiJ5J8WMZi8pSwtJoIm/cYNtcmfnRCewjL2GVCsRa0/Aj5r2QqoCyH+E1Ayxr+XW2ZBtU+rQ3HEP2JQOO0X+MqmQtFqAvRBRrAhHzsOEte00gyJoSx1BEWuMoSaw1fhclerZLtspS9BOwa61bLmbpOpq00bUUPoMSy4MrlyJnKGoLvqdj92zYmHmHEVNixiHVRpNarUqlkmS/2LbDsVxpVToh7fvYFmFZGQbRYWk0GhuqwwLwxS9+kc985jN88MEH/NzP/RxvvvkmYRjyta99jV/6pV/i4sWLwAtCWNKKpWq1yqlTp3AchxMnTmDbq9MaXU2sVwL8wkJzLVLHFxb0G20utp0jAnDixImuuRNtErbRn4QvRb9zMAxDzpw5Q7Va5cMPP6RQKKzx2r042GzH1VJkMhn27NnDnj17iOOYubm5Dnm5cOEChUKhQ3DW4jgzvvY1PnbhHx3+NG4kkVGIUAoXQVyrY9gOdSuLMBT4IV4YUcjYzPshGcciCkJEw0MphZO1yIznGBtdXIyMZi2m+2g9FkI8foz99a9TrMxgBR46U2Du1Gmi7/1e9M6dT5bpmDzS/Uam+j8sShPDp72uUx5G5U2Dire8Y6tbblzNMKbiBR3CIUWSPZIxFaaUaMBMed6lBH0zZiAhRGl7Ps2FzJC0rJn7jOeZBtU+BgewNMRyMWI01SAiaxgEdpZcJkdGCULPo+l5zN68xjdvXGJ0dLSTjZTJZJ77oeAWYXk6vIgjYQCHDx/m5MmTfPazn+W/+q/+K+7fv8+2bdt47733+KVf+qXO+14IwtIPbXH4wYMHOXLkyIZ8ag/rMyrl+z6nT5+m2WyuWaG5UK+zkQjLzMwMU1NTbN++vW9oZrtbttk6LL22qdFocPLkSWzbZnJycuj1YhsZG/Xa9qyQUjI6OtoxTPE8r6N9uXPnTqI/sCyUUvi+vyrHXvhwmv/njg9omg6ekljNBpGUEMb4SlIcH6VZyBE0PExTIWQy2us4Fn7dxQpjYstMxOkZg/17l3f+wx6/q6lEZ5zJkoKckvD1f0el2uSxU0DmS4RCgu+jvv1twv/gP4BWYWm0i98ui1YCqn2E6okjVu97UdaQfYmAAKpdyMhC6K7DYk9QsIxFo3CxhloQLUq8zxoKTSK8N6VEiKQT0+YXOVNR6+PspXXaWiS6n35Oacn3GMylEM6VnLppo2mGFJ393tYbIU22j+f4Y0ePU6/XKZfLHWc+27Y75GVsbOyZtIRbhOXpMCjR/UYjLAC7du3iC1/4Al/4whe6vn7z5s0Xl7CEYciFCxeYnp5eFXH4WmOtCUs7m6ZUKnHixIk1E0ZvtJGphdbYx44dY9++famF42YkLN06LNPT05w+fZrdu3dz7Nixob6pvWjF/maEbdvs3r2b3bt3E8cx1WqV69evU6/X+da3vkU+n+90X4rF4kCOx5+zDzNj3qOCQS4OkPksdS2ICBkt5nFLJUI3wDIVrhfiWArlWHjVJraShKZCiJiMITh8dM+y49AxZNdOA8CYYyX6kCBitulTL89g1D0wTcZDl7LVesBkmlCvIaYfo7fvQLSexien6/LjfsQxmeszDpYzVd/iOWsa+H0ISdE2+oYwCgG1lJBGI8WeN6OekKaFlsWChHBlDYUQibA/iOLuBs8amhFYfW59GVOmBkqmdT0F6bbJGaVShf1ZQ3bV4xwoZhY58x04cGCRNuzGjRucP3+eYrHYIS/FYnFF18R2aOTW9XNlGFQOy0bJYHlavJCEpVarMTU1hWmaPUdzNhrWirAsFIyvRzZN22BgIxT0URRx/vx5yuXyU1ljb3bCspDEvfrqq+zZs2ed1y4dm2WUarNsx/NCSkmpVGJ0dBTHcThy5AgzMzPMzMxw9uxZ4jhepH15lnvEr/7Rdf5AjTGXrTFan0cqxWOVxQ59ckA8PpYI6qXA80MyjomjNUHNRZkGXhBimBIh4NXXDxB38RcuOBauu7j4L5kKBXh+SGXha2GLZLSuoR20vYZbhfuI07ZB1l2f7PdzFoP0Eai0Y9Ds42oGULSMvh0e6B9YCa0ski6kSrc+Ww8iaoHEizRKJB0bp0ViwjhxKrNFnNphSbszriRQMmcaKaNpYBmCZsrtv9fPcrC03BxnqTbMdd3O+XHnzh2ARd2XXufHlkPY0+FF7rCsBC8EYVl4cb537x7nz5/nwIEDHDlyZNOcTGtBWNoF+PT0dFfB+FphIziFtR3TpJRMTk4+VcGzUQjZ06BNWBaSuE996lOLUmy3sLrYesrZG5ZlsXPnTnbu3InWmmq1yszMDPfv3+fy5ctks9kOgRkZGUm9b9x+NM8//60zuKZJZu8emvcfEvkeGR2iLQdvx3aUaeH6IZahkKYi9nxipfClIPQDDFOA1BzeN0FsdQ+Ba7auE0oKRk1F0w2Zq7lYhsJf+nOPjYFtI5tNKgsdHMMQTBM9kYybWW3HsW4dFq37djdMJfqSCUOIVC1Gr5DGzjJSuie5FeSipDlu5RaEK3YCHBeMbWUNiR8ElFSSNdPt65LOSHoOTL+xM0jfXmCRg1s3COi6LgXLYDyTPgrpOE6nO6m1Zn5+ftH5kclkFp0f7aJ7i7A8HbYIS3+8EIQFFueDvP3222zbtm29V2mgWO0ivl6vMzU1hVJq3btSw96BaI86PatjWtsJbTNBSkkYhvzhH/4hwFOTuC0MBpvtuFoNCCEoFosUi0UOHjxIEATMzs5SLpe5ePEiQRAwOjra6b4sDTUNw4j/+pd/n2YzIECglUnm0EFqgU/sR0jbQoYRNT/CsU2iMMLwQjKmYi6MUYbEchITlZFijqOHdvK4S4J93jIJI802y2C24TG94D3FjPkkZLANwyB6+y3Gv/kNyqECEYOOQUjiN98AKzGbaes8NMs7BCOO2ZewFFPcw4q20TeoMWt0T2FfiHRXrv6EpZed80I4huz7PY0wpuJr4rqPGYCtBAXLwFKSWCeBlTnLWKSZ6bouKyAjaeGXC7UpvZAQo+XvOVh8+ugBIQSlUolSqcShQ4cIw5DZ2VlmZma4fPkynucxMjLS0b1sPShZOdojdM+Der3Orl27BrRGw4UXgrDU63U++ugjpJSrlg+y3lhNwvLw4UPOnj3Lnj17hkJrMKyERWvNxx9/zPXr1zl+/Dh79+59puUM6/Y9D5rNJpVKhV27dnVCMrewhfXGSuzRTdNk+/btbN++Ha019XqdmZmZjjjZcZwOeRkdHeVz//qPuHGvgjANiGN0HDPvBzhKoh1Fve5RyDuYCHQck49j6lrT8ELsnI0WMUEQks87HDq4nWqXQjNrSIqW5P68i9uFhHaz8QXQR44SF3PoC5cRc3PoQoH4lWPo/fuBhFDUO4X68mXYSlLrM64lU4ag0sbJsqbC7at/SU+3D3X/a2fBVMutnpcuI2WsLWtI7ms6angv0ngLCKIpBY4hsZVIdEQ9dDD9thUSIpT2nqyh+pJAANljvx/oMg72tDAMg23btrFt27ZOsGt7fGxmZgatNRcuXOiMj20Zq/TGoDosWxqWDYxHjx4xPj7Oyy+/vO7F9mphNQhLHMdcvXqV27dv88Ybb7Bzge3lemIYR8LCMOTcuXNUKhU++OADSqXSMy9rsxGWTz75hBs3buA4Dm+88cbWE7d1wtZ+f34sFCfv37+fMAypVCqUy2WuXLnC7158xK+dm8WwbeI4wnVDspaBbRl4rkcwO8+I0swryOQy2EFExQ0wpETlbfwwIIpjMo7F0Zd2M5pzmFtQoGcNRUZAueoSRbprx8wx+xSwAip79xPt3tf1ZcdULcKi2xu86PV+XQch6F84ryCoMUy57mWM/pkmphSpgvx+9r8rXYZjyBbZ7f56EGvmvIB6awzLkIKipbANhUbjhxrbkHip6faSIFW03/dl0LrrPjOlZFd+sBEOC4Nd9+7dy8OHD7lx4wa2bXPnzh0uXLhAPp/vjI+VSqVNW5M9Ldohmy9iDstK8UIQlsOHDxOGK/Op36gYdBHveR6nT5/G8zwmJyeHirEPW0Ffr9c5deoUlmVx4sSJ536CNGzb96yI45jLly9z7949Dh8+zPT09FbRvM7YGgkbLAzDYGJigomJCa7dm+H3f+seWkjcIKBWqWEqiRI2emYW4/FjzDDC0zFF8yFhtsDsxHYs2yRvK2Y9FyklGcfiyEu7sEwDw5QQRjhKkpeScs2loTUjOYtKj0K24Fi4XUbIIBHUV/qQBq+dPt/lMMmZqq9bVSnF3Wthun03GCsY1Yp6dT6aLuLhQwqOwez23dAntT3NcatgGT2DONtIOjAa0aOj5CjZISvt98+4IbRSW0wpyBgWjhJEOunAdGM/KY2eRJuS0nHKmN3H7PYVnNSO1/NCa41lWbz00ku89NJL+L7f6bycP3+eKIo642Pt8coX9R7Rrt8GkcMyTPXaIPFCEJYXAYNMup+dnWVqaorR0VHefffdNbMsXimGqaB//Pgxp0+fZu/evQPr4G0G0X07o6dNeKvVKo8fP17v1drCFpZhEAVSEET8/C9/m+mqSz6Xpe6HjI3YEIQ0my7Owwf4EViilQLvawjmcXJZyI4yH/iYpoEyJPv3TZDPOigpqHkR22yTcrXJ9ILqVRkKehT3Xp9rh9EW1HdBZpHOIfmuhbsmZ6oOoekGK8XdKy3dvmAr5rzen+9KaDTIkyeR585CrDHrc5gTO4i+93uJu4QYJxkw/a+taUeDIRfk0PQ4djKG7DvKFcSaqh91OlILNTCRTl5XgkWkpxuWptt3gyUlTZYvp5s72KCxVHS/1NyiPV45PT3N9evXsSyrQ15GR0cxze5mE5sR7Xv+IEbCNmv48nBVoquEF4GxK6UIgv5hW2nQWnP79m2uXLnC0aNHOXDgwFDuu2EYCdNac/36dT7++GNee+01dne5OT4rNrrovlqtcvLkSQqFAh9++CGGYVCr1Tb0Ng3jefC02AzbMGgM6pj8+V/+fa7cm2Us6zAXROhIo4RG2ybWbAU/FjiWJO82mBYZTFOjw4h4powoZlDZDAjYtq3I2EgB0OzI2UzXfR43vEXfJaRgvkcHoO84GHTN4WijYBmU2zbInd3y5JhJ03WkieH9lIcwUvQnPHnLYN5ffI+TV64gz5xJ/qI1dScLnof6d/8O/R/9R+glozGZFNKE1tRTCEDeNJh1kw5Wr1Mq7XGTElBb4Ja2VAOTMSTjGZNYQ6gFcY/jVCnRbtr0RLf9LoB9xdU3PennErZ0vHJh9svHH3/M+fPnKRQKHX1YoVDY1ONjg8qs2RoJ28LQ43mL+DAMOX/+PDMzM0+VGbIeWO8OSxiGnDlzhmq1yqc//WmKxeJAl7/e2/c8ePjwIWfOnOHgwYMcOXKkc/HtFhy5hS1sBvzrb17id8/fJWcq5r0AP4wo2iZKCMpNHyuOcIiwax7z2QyOlHixwJQhxCFBFOI1ahQLDsWchS0iTGFQ90P8LsXzSMZitgcp6TcOVnRM5vsU6+GC87P9p3bpZLa6ClJolJBIAQKBBLQAWwpCrckoAQgirdE6KdwjrROxfr9xrxXoW1SXOk5eON/5c8FrUM/mk3m2OEZevUr09tuLtzGFdBUsM5WwiHZuDXQdCUuCLfuziLzVP92+GcbUg4jZluNa3lLkTIUSkjDWtBNg3BSSaEjRlUhuz9pkjNU3PnmaIMSF2S9A1+yX0dHRTgdms5knDUJw3+5abY2EbWGooZR65iK3HaTZ1mDY9mCFeIPGenZYarUap06dwnEcJicnV8XxZCMSloUdp24GDRtxmzYjtkjjcjzPE81rn8zw5d86hykFrhsQSMmIY1Kve0RK4TgmoWFhVRsYjkksE9tbS0WIWKMdG3ukQMExeGnPNqzQ5+bNu9iGRDgZbNvGdhzUgifLso8+o984mG2q7oEhJKNSxDFjpkIAYaiZD0NyJIVUTiqmm35Pgfe2vE25B1ESQD5n44URhhIYQmJIgRQCKZOSX0oI4oSU9IoU6arVqNU6f3TCgDp02h6iWl301sTOuD+RsAxBvd9bWsRKP2Esy1CwFPN9RtsAVuBmvCg3peZHHcInBJQsg7xl0JLS9Jxj6+UgdqC0Npbyz2PTuzT7pVqtUi6XefDgAVeuXOlkv7THxza68+QgLI1hK4dlw+NFGIV41iL+wYMHnD17lv3793P06NEN0XJdr+K3be/c3lerdVxttOI+DEPOnj3L/Pw8H374Ydf52Y3eYXkRriFbeDp4Xsh/8//9Fl4U0qz7iIxFLtZU5l2KWYumEMRhRDaXxS0UaPoBRhQiZEwYaCKpKO4eJ7QUk8cP4QYRfmCxc2eeYkZyd7ZGrV5ntlLBNE0c2yabyTDrdr9t2yn2trUgSlLbDZXc+LXGDyMaXkhGWpTn3M57ozhi3o/JuwECgWMafd2ogj6dCw2EuiV27zG1vC1n8biRvGgpSdZUOIbEbI3ISDTNbkymNALlMgC+2Xp4pDUIgV4SSluwVLqYPiWAMWcp6kHc2RfdrgtGymgbdA9xXIh+WhvdCrJUUjDrBhhSULIMLCPRvyzsIvX6zQ48Q/7Ks2BQwZELs5GWZr9cuXIFz/MolUqd8bF8Pr/hrtmD6LDAloZlCxsAT0tY4jjmypUrfPLJJ7z55pvs2LFjFddusFjrgl5rzdWrV7l169aa2DtvJNF9o9Hg5MmTWJbVt+O00QnLZsBGu4GvBZ7nmPx//f/+PffmGrjNANux0LGm3vQTa+AoxjQVltZUI429ew+yMUdUm8fXApV1UDtGkWMjfPDyPuYbT7oTQkAkTYqFAsVCgSiO8Twv+a82y6O5WZxW58W2bYxWkVPImIt0EJBoNrKGwCTpLkReSKXbfuiznQJN1eutj1RSMNfndQHM93kdwF9AFPwoXhaWOJG1mG76mFJSsA0cQ2EIgXz9VaKv/Tu0FNScbIesYJrER44uWkavLJI2TClaupLe77NVQlieMIHl722mjJStRPhvr+A9bWISxvqJ9ojEoaxoGxiA12VdcqZaUbr9ILBaSfcLs18guQ+1x8du3ryJlLLTfRkfH98Q2S+DICxhGOJ53laHZQvDjachLK7rcvr0aYIgYHJycsMd3Gs5EhYEAadPn6bRaKyZvfNGEd2Xy2WmpqbYvXt3aqDoRusabVZshONqrfEsRO5f/+4Ffv/CPTw/JIxjHCVoNEOETIh51jYJmz5zbpgQl9Ec1byFnhjHNiVYkoIpOLB3J82g9ZvUG+C6FLeNLeqUKCnJZjJkMxnGCg5mtYHnejQaDeYqFQzDwLYdbKVR0mTEUgitqTUDml5AE9hWyFDv0V0QgmV6ivZxIhAUM2ZfvUXJMZnpQ0hKttk3qNFQIjX4sK2vCeKYmYWjZ7v2IT/1Ibt+77cRNMjqCLltAvf//icIM4vHngZhZ9wWsLf3zlI4RnfNyOL3pJORnvbNLShBT02QG8W4DZ+iqZgPIgqWQc5MCuEg1mvWXYGn07A8DxZmv8RxzPz8POVymU8++YSLFy92sl/GxsYYGRkZykmSQRCWWmtEcqvDsoHxIjxZXGkRPzMzw+nTpxkfH+e9994bOsvilWCtit9qtcqpU6fI5XJMTk6umcXisBf3C93kjh8/zt69e1M/s9E7LFp3D+nbSHgRroNrgat3pvnyb57G8wO8MGa8mGGu6eN5IUpJnKxNfa5JJMC2DWxLMu/7GIbCcEyECHF0xJGDBxCWBU0X+Z0/Qt6/D3FMXkbU3niH+PXXF9lQKSWo+CGWaWKZJoVCPrlOhAFG4FJ+8JCqG/LItrFtB8exO9f3fmGLpYxFxV1eqLcF5ZYhwVv2cgdpQYyGIaG7vCX5ftuk3OzTwRGiL2GKjx/HffNVZu4+RBsGjI0l69X0GXEMsoaBrSReHLNAL78MK7EzrrdIQq/QyKxh4Ib9u0kpXKWltUknV2kkT6nEwrrqhx3tjhKCPQMOi+yHOI7XvLshpWRkZISRkZFO9kt7fOzChQuEYbhIvD8s2S+DSrkHtkT3WxhupBEWrTU3b97k2rVrHDt2jH379g3FSfoskFI+t4VzGu7fv8+5c+c4dOgQL7300pruq2EmLHEcc/78eaanp5/KTW6jE5YtbE6s6Jh03YQ42DaeF/Cz/+L38ENNqAUF26JcdYk12LZJzlRU5usYtomhAamJ4wjLMkGAgU/kx+zcvwvlZIhjjfr330I8egSGiTAM5mKQ586BUsSvvtpZjZGs3Rn9MVu6Bd8PmQ9ixkbHiWwfOwxwXQ/XbTI/P4dSilIug+s7WLbddSzK6CbiXyDk7t+Z0KlC9jQnq17hi22UHIMZt//1vhpL9Pbti/4t1pqZZsAMAdtyNtMNP9lvtkHGVEgh8MIYP9YrtjN+0oHRXe8JUcrxZAhS99dKtDZp423Qe7/vW8MOy6CE5M8Dy7LYsWMHO3bsWJT9Ui6XuX79OqZpdkbH1jP7ZRDdqHq9TiaT2fAGBL3wwhCWzV4w9SMsbVH03Nwcn/rUpxhZIkbcaFBK4bpu+hufAQu1PW+99Rbbl9wE1wKDDAEdJFzX5dSpUwBMTk7iOCt3mtlIupzNjM18DRw0xI0bmP/yX6L+8A9BSqLPfIafs16hPNek5kc4StB0PZRhoARYOqbRCLEcCz8IUQZIBJFpIqTGij08T7B39wRH9m1nuunD40eI6WmwLFCK0chjJpNkicgrV4iPHYNW8REDI7aJjGNmax7TjSdFfIRuSTdMzAXdF9/3yYiI+3NzxFGEZVk4joPd6r4IRFcL3rYLVsZUna5CN+Rts29woWPIFItfTTV4vuI8bxmpNsJhSxMTxJrpZgALOjo5UzHuWEiZdCDcMO7ahVm4GlovJ1ortTNOIyMreTiWppNxlOz6nn3FDFYfl7lBY7U0LM+Kbtkvc3NzlMvlRdkvbQKzltkvgyB39Xp9aDpGq4EXhrBsdvQiLNVqlampKRzH4cSJExtCfJaG1epALE1nXy9tzzAW95VKhVOnTjE+Ps5rr7321E9wNoouZzNjs97Enhfd9ou4dw/7p34KefMmemwMgoBf+7ff4g8Kc8wdPITjWGg/AsskDCPyUiK1xpWSKAiRKhmVspQgVhrtu3hCsmP7CDsmRnFbGgUxPw+x7pCSzqoYBngeuC5WscCobTBX93C7uEsZSlDpMlIlpcRxHEpZmziTJwojXNfF8zzm5+cTYXIhS9O3sW27Fdy4GDnboNnoPc+VMfsnrects2cuTPK6QS3FMSstnyVjSGp9Rs5kyohVPYjIGRGPWutpSsGoYyY5JSLpVER6cadJJ4xlEQqm6hvMCb2DJheikULgsqbqO+IHidmCGy3fr0dGs+krMEAMG2FZCqVUZzQMwPO8jnj/zJkzaK3XLPsliqLnHtGv1WobTpP8NNgiLJsE7YJw4QXi3r17nD9/ngMHDqyqDe9aYzUIy9zcHKdOnaJUKvHOO++sq7Zn2EbC7t69y4ULFzh69CgHDhx4puOo3eFMZr83x3G4hc0L4zd/E3nzJvGRI6AUt3zFL8bbiTyfbKNGQBEshe+H5JXE9wM0AmGrlr1sTBhGZDMGvu8hlGLbaJG9O7dRyFhPXLdyuSSUI44xBFTMVtcyisjrCFXIMdv0iQzZlawAlLI2Zbd7xW5IwVzLmtgwjM7T5VhrfM8jIyPuzc8ThUn3xXbsTg6XECJ1xMnrUhQvRPdexRM4pkEt6M02sqbsnr+yAH6KQL1o9w9pTJbxZDuCWPNooWsbsDNnoYQkZ4oklb7LSJgh0+2MmynkK2fKxIWsDzJKphKWuMfv9tLIFmHpB9u22bVrF7t27epkv8zMzPDw4cNl2S8jIyMDrRMGpWHZiJbOK8ULQ1g2+0hY+8Rpd1kuLJzsPAABAABJREFUXbrEvXv31m2saTUxaJewdkH+0ksvcejQoXU/2YelG9Eej7t79y7vvPMOExMTz7ys9d6nz4sgCPA8j2x2bW/4g8YwHFfDhF4EWp47h7ZtUIoohr8zP0GAJDQgnqslHQsMRm2D+aqLAmTBISYmCEMQkDc1dT/CMBQjI3n27Uyuw7ZjUq0nKna9cye6WEJUZhmREdNGkZHaHML1Kb/5DnEzKbT7lbC6z6lVylhdBe1SCBzHIZux2OEUCKPEDtV1XarVKkIIhI55MDuPadldi05TpQcxzqcQhSCF8GRNg0bYm9AoKVO/I20EyhCi7zI0iVD+fr3Z+geNrSMMHZM3FW4UEcb9jQ0g6QSlOYjZKp2whCnnsCDJ3FmKUdtcMzvjNtbKJWw1sDD75eDBg4uyX65evYrrupRKpc742PMShag1svk8aDQaWx2WLQw/2jeUer3OpUuXiKKIEydObPgCqxsG1YGI45hLly5x//593n777Y6n+3pjGDosQRAwNTWF67p8+OGHz30RbB+fG/EGNjc3x0cffYTv++RyOcbHxxkfH6dUKm2op4cbnTSuJfTYGCII0MBn50a47Su0ZRDMNwhyinzOQcYxM5U6hmGQLVhUw4A41limxJYhwlBIASMjOQ7s2oEQyW8wt1BALgTRd38X6vd/H+vBbUaaHhUnT3zsCPEbbwC9R74gac7M9ROk9/nNLSU7hMNQBkbWIJfNoUmEybpZZa5aJQxmMU0T20mcx0zTTOyOHXNR/sdSjKTYGSspU52u0jo8Jctgpkd3qY00O+OinS7qXxjGiBDMuSFVNyKea4DWbMuagCRvStxIL35/C84KCEu6g1hvO+M28pbRlUi+tMbjYDAcovtBYWn2S7PZ7Ij3b926tSj7ZWxsrNOpXCkGZWu8RVi2MPRoXxQ++ugjtm/fzquvvrrhCsOVYhAFved5TE1NEYYhk5OTQ0Xs1puw1Go1Tp48ST6fZ3JyciBt73axvNGe8Lfd4g4fPsy2bds6As3z588TxzGjo6MdAvO0N6gtDAe6uj39sT+G+p3f4St3XH5HZVBK4tebYJnkx0pEbkDNSwIjTQUVz0NKSc42EAQEMSBgrFTgwK6dHd4wWnCWFcfFiTHMH/qTfHL3AbrZRJdGYEGOwkjOXiSwX4iRvN2z2BYpZKaQMSl3Wa5AYJkWka/YPr6dKIpwvUT7Up6ugSDJfSHpMqkeHQwz1c64P1GQglRCk1YLZwyZqoFRKbbMqst6aPQTCYsQaCS35590YEYzFgXLQAiBG0ZEOj1bZWUOYul2xkaP7Tm8xuNgsPFGwp4GmUyGPXv2sGfPnk72y8zMDHfv3l2W/VIqlVLrsUGNhG0Rlk2Azfx0UWvNxx9/DMD+/fs5evRoyic2Np53JKwtIB8bG+P1118fOmK3nqL7R48ecebMGQ4cOMCRI0cGdt5sNMKitebatWvcunWLt956i/HxcXzfX2SPWa1WKZfL3Lt3j8uXL5PP5zvkpVgsDuU1Z6Ps/7VCr/0RfeYzXPsP/mO+8G8u4YcBlvYI7Qzh6CjKMAmjGGUohNDEOsY0DTKGwA89Yg2FvMIqLCYrQFKFt5A1DRwBM/NNxksZ4vHuI5dxH9tf0afYLjlWX0eqfoeCRuPGkCG53uayuaT7ojVBEOC6TR7MztHwAkzTxHGS7BfLMjvHfTfR90Kk8ASKdrqjVhoZyVkGbp+MF6CvCxokOTHLiJXWi7pXi44jIZh1A2Zbn5HAeMYiRpMzJY2gu7InZ6VrbdL2GXS3MzaE4GBp7eyM29jMhGUhFma/HD58mCAIOuL9ixcvEgQBIyMjjI+P98x+GaSGZbPihSEsmxVBEHD27Fmq1SqmaQ7NWNNq4nk6EHfu3OHSpUvPJSBfbaxHh0VrzY0bN7hx4wZvvPEGO3fuHOjyF46EDTvaNuDz8/N8+tOfplAoLCPIC+ebDx06hO/7nfGAtrtMm7yMjY1tCne+FwmeH/LTlW083h/iNGrMolCFAhnLIFCSMIgxzJaRhGOSl5qq5yKEQBpQGhtl+8TEIrJiGYrZZtDJUCnPN2m0KtduI0TQCovs2UHRzHcJfGyja75K57P99SVZQ1HpcqoKIbAsi/FClmoYUYxiPM/FdT3q9RlAY9s2hYxDJXb6FmBpWo1+6w+JQ1maiD2Nn2cNlSrq79aBWWQSpvtn0cQko2235xIr/rYLmWNIYp1YFGvEM5ORhbD72Bkb60AcXhTCshSmaS56uNVoNLpmv7T/M01zIOPSWxqWLQwt2kns2WyWyclJvv3tbw9lfseg8SwFfRzHXLhwgYcPH/Luu+8yPj6+Smv3/Fhr0f3SAr1YLA78OzZKh8V1XU6ePIlSisnJyQ7RSCO2lmWxc+dOdu7cidaa+fl5yuUyd+7c4cKFCxSLxQ6BKRQK60KUh5GcDwO67ZfP/vPf5saV25izFeaExFYCS8cEY6N4YYxpS5Aax5AYSjPnekgpEAoO7Z1gZHzbMvlIKWejgbmam2SBtGCbirkeXYCRrN0zBb6UtftqRPp1H4qO1fdpfsaUfaPfHVNRDSOUkmSzWbLZLFpDEPh4nof2XR5W5jAMA9txsG0b27Y62SUZK51spGWN5FIIiyB9xGolLmTdv+OJWUPRNlcwpvWkaF/qQuYYglHHItYaWyUuZN2QUTK1a5U1VVfntvXQr8DG1CwOGkIIcrkcuVyOffv2dbJfZmZmuHXrFufPn6dYLNJsNmk0Gs9F8mq12laHZQvDh7az1cIk9kG7Zw0rnnY724GHWmtOnDixql7qg8BadlgajQanTp3CNM1FBfqgsREIS3tUcNu2bbz66qvPfNMQQlAqlSiVShw+fLjj7d8mMEKIRd2X9UpW3kJ3/MpXp/iDb19EPXwMloltGphNF3++QSAE1o5xQBP5IcqxmHM9TEMRi5jd28Z4af9eZpZklxQdkyAIqdSXizqKOYvHPYJEdB+SaSgJ8/PIc+eQd++ClMQHDxK/9hr5Ur6rUxSAQOMoSWRKDClQCEAjW/8Hge+7jEqYsI1O6v3CNbG0ZpttotHEJFEykdaEhoNv24xkLIy6i+d7uK5HpVIhjmNs28K2HUasAs0+v4FtyNRRrV7WvW0UbDOVsKTISnCU7Lof9YKRMDtFqwP9yZcbaua9kPu15D0FS1G0TJQSNMOINv/ImArPS7GR7rFB66FfgRe3w9IPvbJfLl++zK1bt7h582ZHG/m02S/1er2z3M2IF4awbJani3Ecc/HiRR48eLDM2epFISxPU9DPzs4uKkI3wtOetSIs5XKZqakpdu3axSuvvLLqN5ZhthZvZxb1GxV81mvIQm//tjiz7SyztPuy2h76w7r/1wtL98fF6w/5X379NHFlHlNCI4yQ5Yc0NOQdCfUKfjOLMAwKWUk1CLFMhRYx+3ZuY8+2iUWOXoaUjNgGrhcw3+PJuRd2/3cpBXN9HLDq5VmM3/otaDYT9bkGeeEi8v4Dsv/hn0KaClMKJBBHMUEY44URXhBR1dDoQQiUgobrMdcIsCqNZa8bShDp/sdSPQjJScFoJoORz4EQhGFArdmk1nT55JM56iTdF8e2sWx7UaJ93jTwot7bLki3TLaVpNrndUG6qL9gKdzm8mtxi8MB4Kd0PRyVLvxfaA5Q9aNO0KVAM5axyJkJrWxTym7oZWdcsk0m1tjOGJJaRWu9RVhS0L4/XL16lbfffhshBOVyuZP94jhOh+CMjo72NcHZ0rBsYWjQbDY5deoUQNdOwRZheQKtNbdv3+bKlSscO3aMffv2bRjSutqi+4X75pVXXmHfvn2r9l0Lsd7uZ92gtebq1avcvn17TaytF4ozX3rpJVzXXWSNqZRa1H0ZZDDZRjn+1wv1hsd/88++TrXuops+IvARDReEoChi6koRNJo4c7OwY4JICgyRjIHt37WTsWKRUt5hupFkrIxmLBoNj+k5n22jOWo1b9l3ZmzFfA+NykjOZqbHOFjeMWicOo9sNrGlIBd4GFFEGGuad+oEU2eZf+lY189mbKMnWQEoZWxqTZdeM2FFx2KmsXxbOq9nTOa9ZPlNb+n3mGQdE5Ep4Pg+RD5BpU4Tje04SNtBmzaa/l3Hom0y5/UX06cRiZUESvbswLTye9IyXAAKttFzrC/tezSCcjMR8AuS/JzxjImtFGGs8RZcT/OmQTVYvi6H1kFsD0/0iluEZWVoJ91ns1kKhUIn+6VSqTAzM8P169dpNpud7JexsbFl48WNRmOLsGxh/fH48WPOnDnDzp07OX78eNeLwItCWJRSaK17tpujKOL8+fOUy2Xef/99RkdH12Etnx2rWdi3tTyPHj1a830zbB2WtnanWq3y4YcfrsuF3nEcdu/eze7du4njuHNz+vjjjzl//jylUqlDYHK53HOTjmHa/8OC9nH5M7/4VR7O1omDmIzUeE0XJQWBMnCNmFAqCl6daH4Gdk/goTENwaG9uym0bNHdKMaUgqJlUJ5rdSe0ptqjqM07Fs0uY2LQ2wHMMSQlyyB/9QqNWoNGJoeHBQpQYId15u8/hh6EJWcZNPuky0spej/Gp2+0CwC2YcAyovIEJcek4gYYpgWmhXLyRGGI63l4tTk816ORMcnlchQKWcxMBk+zKMPEVClWxFKmjoNZaYV0HzF9ch4JCrbRcQPrs5i+kCkGCABFK3FMi7TmwYLjJW8qRhwTQwosJaDLqqx1un0bW4Rl5Wh3o5ZOgBiGwcTERCe0uZ39MjMzw+3bt/noo4/41re+xR//43+cH/qhHxqorfEXv/hFPve5z/HgwQPeeustfvEXf5EPPvgg9XO//Mu/zH/yn/wn/Ok//af5N//m3wxkXdp4YQjLRn26qLXm+vXrfPzxx7z66qvs2bOn53ullC8EYVnoOLX0YtjuQkkpmZycxHGc9VjF58Jqie49z+PUqVPEcczk5OSaa3mGibA0m01OnjyJaZp8+OGHQ+HitTB47MiRIzSbTcrlMuVymY8//hjTNDvkJW00YAsrQ/t4/J/+zXc4d/0ROtIIKYlMC6KYyDRR2ie0MpS8Bp4hiWJNRkVIx+Hw3t1kWvk7hayNIQVBFFOef6LQGMlneorje4qoF2aoCBixDUyg4QbU6y5zsabpFBBLyY7WFCOfptn72EgLY6x54aKRp6WopxCBbqLvhTCXuH8JksIsbxjkcznylmK62qDqujyuPCIKQyzLIptxGB8pkMtmMLUmbyrqQYzuwq5KKyASaevZTwOjSYibSqsrtO7a9Vj0PSuwM+5F0GpB1BkDK1oKQ0rylgIS/YsQgoNbhGXo0a7b0kbWl2a/FAoF7t69y//8P//P/NRP/RSmaTIyMsK+ffv47u/+7me+x//Kr/wKP/7jP86XvvQlPv3pT/P5z3+eH/zBH+Ty5cts37695+du3rzJ3/pbf4vv/u7vfqbvTcPWHW+I4fs+Z86codForMi9yTCMF46wLERbk9GvC7URsBodlrm5OU6ePLmu2TPDMhJWqVQ4efJkJ2B1WI+TTCbD3r172bt3L1EUUalUKJfLXLt2Ddd1GRkZYWJioqev/1Js1Ic2q41zVx/xv37lHBqNH8Q4psS1s0jTIJYxeaXRXp26YSKkwJQxMpvl8P69WC3DBCkFecvgfqW+bPmGpaBL4ZuxFNUetsSjWTvpsEQx83WPygIti2Ma1LwAeeggolyGKEqEJ1pDGKKVRO8/0HW5SoqejmQAOcdoid11V8aSs1VfMbxSgmrKqFaa01XGMnFsG8e2KRUhjCI8z6Xpely/fQ9TCgzbwXYcshmbYtbBshRaSJpRTCOMSGnAYEqR2oHJ9NPAtET3jRQyUrTNnuYHbVhpK0u6nbGlku3RiE5mjCUFr28rYKfYQ68W2in3W9eddLTvi09zX5ZS8s477/DOO+8ASYbad33Xd+H7Pn/lr/wVHj9+zPd8z/fwgz/4g/yJP/EneO2111b8W/zDf/gP+at/9a/yIz/yIwB86Utf4td//df58pe/zN/+23+762eiKOIv/IW/wM/+7M/yzW9+k0qlsuJtWSm2CMuQYm5ujqmpqU7a+EqchF60Dkt7W7XW3Lx5k2vXrnH8+HH27t27nqv33Bh0Yd8WlB85coSDBw+u2w1kGDosKxHXDyMWalsgmVVud1+uX7+OZVlMTEwwPj7OyMhIzxvfeu//YcNczeW//99PE8SSZhDhux4aCzlaQFdsbLeBMA1qygA0KvYZ3zPBtoMHMFr7OG+biCji8fxy3yshBHPN7uNXuczScTDNiGMhtUbFMY/n3e6fc0zcukd89GXE/QeIu3cT0kLy1H/m7ffQu7rnKBUzFrN9CEvGbBEWTceCeCGyltGXsJQcq6fuBsA0ZCqhCZYQGkMpjHZwJZqc1Nyfq1GrVqnMzvLYNDvifdMysQyJMBQTliJCUA0iwiXHfcEylodBLoHf5xqsgYwSNFKIRMZQqYQlPVtFUPND+vlMF0yDcrR4e/xYszNv9132amLLIWzlGAS527ZtG0op/s7f+Tt8z/d8D5cvX+arX/0qX/3qV/npn/5pRkdH+fmf/3l++Id/uO9yfN/no48+4id/8ic7/yal5Pu///v5gz/4g56f+7mf+zm2b9/Of/qf/qd885vffObt6IcXhrBslMIE4JNPPuHixYscPnyYw4cPr3jdXxQNixCiU9SHYci5c+eYnZ3lU5/6FCMjI+u9es+NQYnutdZcuXKFO3furImgPA3rSVgW7ot33nmnMxO8UdHOvmj7+s/OzlIul7l8+TK+73dsMcfHx4fexnu9oLXmS798inKlgZHNEnoBxbyDiyYiJt6xk8LjW1RiMKKAWEF2tMBL3/U9NERCVrblHMqVOmOlLNUuQvTRgtOzgG/nbWQMRc6U1BoelbkGoLGc3iOKHTtfpYj+b9+LuHcfcf8+SEnp6EFmR8bpVdyqlKftYeu6o3t0WHoFXLYhU9IPi7ZBudFHPyNETxMCSEhUNutQ0gqKSaHnei6e61Gu1UBAMZNhbt7CdmyUVIAm71hkbINYJl0YmXJPNYTo6yCmtSZjGKTdbfuRHki6IGlkJG+li/Z7bc6xsfUTYG8RlpVjECn3QEfDIoTglVde4ZVXXuHHfuzH8DyPb33rWyuqAaanp4miiB07diz69x07dnDp0qWun/nWt77F//A//A9MTU099zb0wwtDWDYCoijiwoULPH78+JnCDZVSeF5v95bNBCkl9Xq9kyFy4sQJbHv9niYNEm0Ni9b6mYl2EAScPn2aZrPJ5OTkUKTfrhdhCcOQM2fOUKvV1k1cv5pQSnWEme1U5XK5zOPHj7l69SqZTIbx8fGh6HANE/7J//JNLn1cRmVsoiCk4Jj4CoIgBK0ZGctQKR7F8JoEocv4xCjvvP8Oc36I6XsUiHnshSAg6LVfexRsjilRwKilmK26izJJSjmnpwOWUktGuoRE79mDbmkbVTED9d73gH76EyUXkAUNS4toKcQTXc0zLD9Z3xRCkzGp9CE0yXc8oQlKKXLt7ovWBEFAhpD7c3VmK7OYpoVj23i+jWVaneuplbUYNxVCSdxIUw+jRUqYomUw068T1E/k04Ih0sfOVuIglnoH0Lpjg7wQOVOxt7B+Gs4twrJytDssz4t6vU6hUFj277Zt833f933PvfxuqFar/MW/+Bf55//8n6/6g8AtwjIkaDQaTE1NIYTgxIkTzyQWV0oNhUZgLSCE4PTp0+zdu5djx45tqgtje1uelbDUajVOnjxJLpfjww8/HJpgwvXQsAyjuH41sTBVef/+/YRh2Om+PHr0qEPe2t2XjWhKMQj87h9e419/9TyWZeAGMUXHQFqSpuuhlCRjQyRAWQYNYbB35yH279iJ0awz+gf/F+Htu8wjUYUC9ttvMGcttwZXSlBZ0nWRQjCWMTEkPJhbnnECYJkKehTLpYzT11K4n6YiZ/cf5yq03LvaWHrlKWb7k4mMqWgG/c/vNEJjpnRoMn3S7YUQWJbFSDZPZGWJ4gjP9XA9j/rMDOikcCvlM0zHUWekD5JRtYJjY5gSN9akPezWOqYeaJw+z8iKduLs1Q/PSkYWIm8ZXcfOXh57flfB58FWyv3KMYgOi+/7BEHw3A/kJiYmUErx8OHDRf/+8OFDdu5cPmp6/fp1bt68yZ/6U3+q82/t+7xhGFy+fJmXXnrpudapjReGsAzzSNijR484c+YMu3fvfq4AvxdhJExrzY0bNwiCgMOHD/Pyyy+v9yoNHP1c0NLQPpb279/P0aNHh+q4X+sn/O3Q0B07dmxoE4bngWEYbNu2jW3btlEqlbhz5w6lUqkTSpbNZjvkpVQqvRD76N6DWf7Bf/87SAk1L8JRkiCOqPsxlmWQMWK8ICY2oOY1OHZgPzvGxrHR2L/5m0zP1IgtG4RAVGYZ+dY3aP7xP4FeMkIxms8w3SrwlRSMOSZzNZfpWZ9CnyfftT5Ffb/TOS1fJWuZ1IPeZMdYMC7WpcGCmXJs5Byzp0Vz8v2KRoqeoxcZ6XyHZdIM+00R6I5FsJKqMzqp0QR+gOd5xF6Tx+VZDCMJrrRtG61tZsInfS6RMRk1FIahcGNNLVjcgckZMi3cHiOFfEH3oMeF6EVGFqKXTuaV8fXtJA+qa/AiYBCEpV5PDD+el7BYlsV7773H17/+df7Mn/kzQFKLfP3rX+dHf/RHl73/lVde4ezZs4v+7ad/+qepVqv8o3/0jwaa8/bCEJZhhNaaa9eucfPmTV577TV27979XMvb7ISlnZsxNzdHJpPZcPkqK0UvF7R+aBO5Gzdu8Prrr7Nr167VWr1nxloSlrt373LhwgVefvllDhzo7pj0okFKiVKKAwcOcODAAYIgYHZ2lunpac6fP08URYyNjXUIzGYZsVyIMAz5u5//Cr4XEQQxlgA/DsllM2gtyJgxDTdC2hFVr8nbLx+llC8gEEzcv8XD2QZkc09GvQyDmldDXL26jLCEJKnwo7ZJZb7J45b4PmMZVHuMAeUcs3cXQtNXsJ53TJpdwinbCHT/68ni7oxeJrpPIxNpdslZy+hLWCxD9iVrAHG/gBhaVsRduhqCpPtiWRZjOQtVc/E8H9dzqVQqxHGMbdtJByaXbY3dPdnXpiEpZiykoXCjmKqAIOVhUDNFTJ8zJfWUjtRKRPthj9/15bH1HQPeGglbOQZBWGq1GsBAxr9//Md/nB/+4R/m/fff54MPPuDzn/889Xq94xr2l/7SX2LPnj38wi/8Ao7j8Prrry/6fFtLvPTfnxcvFGEZphlu3/c7GoMPP/yw69zh02IzE5ZarcapU6dwHIcTJ07wne98Z9OOv7W7IivdvrbxQKVSWZH99XphUGYC/bDZxPWrCdM02b59O9u3b0drTa1WY3p6mnv37nH58mVyuVyHvBSLxU1RfPz9f/rb3HlQwfdDTNuk6saYViLEzpiaWjOi6laxTJMPXn2NjGPjGAaWgMr0XLKQBfthRIRUrAxyZpaFR7ZlSCwBwgt5vGSMKpe1ehKLjG1SD7tfw4tZq2/AYBD1vrcpKZjv5w5mqcXdmSUaDcdU1PqQJSHoGY7ZRpQi2C/YJuW6B3NzyEuXEPPz6FKJ+JVjUCwB/QkbgG2olPVIQjyllGQyDpmMgwbCIMT1XFzXhcY89VhhOzaO42BZFkEYU64+cW2Lmi4jBZOSbVAPY5pLnM0cJamndUZMg3qfAE/oTUbaUD1CJ3fmbEr2+o4CbxGWlWMQhKXRaJDL5Qayz//cn/tzPH78mJ/5mZ/hwYMHvP3223zlK1/pCPFv3769Lr/tC0VYhgWVSoWpqSlKpRInTpwYWADcZiUs7TGnffv2cfToUaSUQ5PpsRp4mg5LW6NhGAYnTpwYao3GagVithGGIadPn6Zer6+K0cBmuAH32v9CCAqFAoVCgUOHDuH7PjMzM5TLZc6ePYvWelH3ZZiPMyCx+W00IJulLUj4t189ze/+4XXqdZdcIUMzDIiJMSwDU0XM1jyqXpUd2/O8cexNDENRylg0Gz4qa1OzHCS6k8EBYEggiNCtpHsBjGUtDCl5OLM8kwXA70MsvD7Xb9s0oEcxngjmexe/aXbGOdugGT75vF7CWHK2gduDSAEUHZO5Pun2CJhPIRsA4s4d1G//dvKXOEbcu4e8dJHo+76fwksHUxPhw2cIgxSAaRqYZp5CPs9oxuT+bBXX8zrdF8tKxPu24+CYJmUvxpM+vk5+46xlkM1YIATVMKZgGZRTDAriFALXi4ws2h6ru07m2Pj6m6xsaVhWjkHsq1qttqI8rpXiR3/0R7uOgAF84xvf6PvZf/Ev/sVA1mEptgjLGkJrzZ07d7h8+fKqZGJsNsKycGRu6ZjTZtvWpVhJcT8zM8OpU6c2TFDmanY4G40GJ0+exLbtFecWrRRaa+I4Jo5jfN/vEOZh399L8TTXGsuy2LlzJzt37kRrzfz8POVyuWO5XigUGB8fZ2JigkKhMDxaqSjC+M3fRP3GbyDLZeKJCcIf+iEuHHmTL//KH9BoeNi2STMM8IMQ0xSEBJQrNYLIY+e2cb7n3XepegETeYeZ2Qax1uSVJN63D3npUkKEMhmk0FTCxP43PnyI0YyF7waUZ+uUSt0LRscymO+Ry+JYBtU+RW4/QX0xazPbY7kAKuVYXVY7675/XQbLUNCHsJQcM9VhrNb0UN/6VkIIAaRI/qxBfeub2EcP9v28XEGBb5sq1bmrEcQ4joPjOOhSiSgMcT0P13WZr1Yp2YogiFGGgaM1UggafkhjwXKVzDJuKSKgGkQs5ahigdamFwq2QaVHsGgbRo/fdT3tjNvYDA941gqD0Pu0LY03M14owrKeI2FRFHH+/Hmmp6d57733GBsbG/h3bKYiPggCzpw5Q71e7zoyt5k7LJC+fbdv3+by5cscO3aM/fv3r+GaPTtW6/ybnZ3l5MmT7Nq167lMK7pBa00URZ0nYG276TBMCol2JlD7/59UP+GrN77K4ZHDHBs7xu7C8+nShgFCCEqlEqVSicOHD+P7fie0su1sOD4+3unArKcrnfG//q+Y/9P/hDZNdKGAvH2b4L/7RT6bnWTOKhJFGq1D/EBjmZJKs0Z9PkYZcGjPbj79+qvMuwHbCg6PWx0SxzaYrXuQyxJ98AHqo4+g0WA0dinnR8i8chjj2FFmWyn3tmUw18PJK5+1cHuMg+UzSSBkN2Qsg3qfAlelCLzr/RLZBcvIxOL+ik4dxfL6dI0ArJT8l5ylaNz+BOW5yTe3v1y0VqbZJLx7H8Z650gUHHOx5XMXhCn3jJxlLNIQCRLjirxhkM/liLWmoDTVe49wXZdGvY5lWR3xvmmaCKDccPFbGhYhBKWshf3/Z+/PguU68+w+9Pd9e9475+FgIjgDZJE1dLGGJikPca/VLcn9oojruAo5HHJYEX7Tk14sv8h+kSXZDoUcCoW72i073HLLLcvt4crdrpa65JZaUvVQJACCE0iCBAESOEPOw849f/dhZ+bJc04OB8QBCYBYERVFnMzcU2bu/K/v/19rmTqByt+LkmXQ30BYjGMsAgRLfu91KXiu4m587f3GY9H98ZGm6T1P2oxGo3kGy6OKrxVh+apwOC/kflmJPiqEZTgccunSJTzPW7la/nUlLFmW8d5777Gzs3PfiO/9wv14z2Yr/veDuC2SlZlgHfL3IE3Teedl9p27uneV//n9/5kojXhr9y0AimaRF+ovcLF2kYu1i1Ttr9Yo4iQIo2manDlzhjNnzpBl2bz7cvPmTd577z1KpdJ8dKxQKHx5P6C9Hvr/9X+hPA81NTDJajX+yk9H7LR2yZ5ycQo640SREDEa9xmnGZom+MYzz/P0mTOYtk7NkHOyAlAo2ASjXL+gzp4haf5pxM4OmS2obm3RynTUaF/fUPIs9laQknjNGNC6UEZvg6B+GO0X6romsDSJJiWaAEOTZOTOVoL9BsbsXTEMOdW/CJRQKAUylMRSUrJ0DE0wiNJ98nAIuiaOQWg2iMsNHX/NvUHLso0diU0uZlLAYEPHwjG0tdbLUgiEYSA1jWKxiGEYU+vkgOFwiBSCasHB1/IRslmnvDcO5/k4pi5xTR19qn8JVlybVX+fwdIEoyWucM+UXYwNBPHLwOMOy/FxkhqWRxmPCct9xs7ODlevXuWJJ57g4sWL9/ULLKWcF1IPK8ve3t7m6tWrPP300zz//PMrz+NRIWersKy4D8OQy5cvk6Ypr7322kOXYH6SHRalFNeuXePzzz//QiGrx9n+IllZ/BwujoNlWYZSin/2yT/jxx//mCCZFq4qP99+2OePb/8xP7vzM4pmkaJV5Ony01ysXeRC9QIF88sb3bgf9wQpJZVKhUqlwnPPPUcYhvPuy6effoqmaXPyUqvVTkyvt/RYPvsM0euRPfHE/G+/+im8ozyiTOGKiG6k6IV9JCGZJtA0jZeefpqnz5zBsQ2iMGGw2OVQ6mgBa+jUXnyOYZgQRDGHq/hV3QZTl/RX5Jjo2vpQxkUyY2oCx9AwhESgkAImiUJkGUGUkKjcoWyGZsmhtUCoDqNZctkbTQ78bTDw866iHNMsOcSjAFCYho6hSQxdQ9ckQhOYusRPFXGmmCTZEXH9cQhNqhSquQW6AUkMSiwQJEWJlL0NKd3r9D+Q62x6m3QlG+5PpiYZhXmwqBACXdPQPRfPc1EqN9NxRMx2f0SvmwdXzsT7s+5LlGQMJtE8pNO1DAqOQSYEwzglUfl7nDumrf7OFkydcElH6UHQr8BjwnI3SNP0nnWBsw7Lo4yvFWH5Mov4LMv48MMPuXnzJt/61reWBu6cNGYM/WEkLIvuTt/+9rfnbhSr8Kh3WA47avX7fS5dukS1WuWb3/zmQylmPCnCMhPX+77Pq6++eqI36dnI10yzcpisHEZGxm+89xv84ed/CEDZLmNqJlmW0Q/7JFmCQlG36vSjPoNwwO3hbf71Z/8aIQSnvdNcqF3gQvUCz1eexzW/+lGOe4FlWZw9e5azZ8/m16Dfp91u88knn/DOO+9QLpfnBOakxxdUoQCmCZMJhCF/8FGX32zVGBk26AmfRQOCRGCIvCi0PZfnTp2hXqng2QYF12KndzDMsVJxDxS5lqHhahKJmpKVg1inUSkVbForuiRlz6J9mMyofFTK0TXIMsq6xA8ioiA7kAHSLLsM1hCSZMN3bpmYXi0EsURze15BFKdEccqi5W+jaNNd2L+pa9iWjmnoCCkwdMkgTvHjbCkhEAKGQQKGQfb97yP/4A+Yt4KEACWQ//a/DWvIrqGJfBtrsKnrINjcgSlaBm0/ZNklFQIsy6TkFMhMjzTNCMIgJ/GtNoj8++HZNr2FYt4PY/wpoRNCUHEtCqbGMJGM4gS1OV7yAB4E/Qo8Ft3fDU4qh+VeM1gedHytCMuXhTAMuXLlCmEY8tprr31pH6LZBz5JkgffxWcBM4vnIAh49dVXj3W9HnXCsii6v337Nu+88w7PPfcczzzzzENHRmc4CVvjRXH9q6++et/E9cBGsjKKRvzq5V/levf6/G/jeMw4no4TCag6VTzdYxSNyFRGprJ590Uowe3hbe6M7vDWzlv4iU/DbXCheoHnqs/xXOW5E+/AfJkaPikl1WqVarXK888/z2QymTuPffLJJxiGMScv1Wr1nrsv6qmnSL/9bfTf/m12dgf89ezb7Dkp46yPj4lSGYaEOFHUt4p8+8LLBGOfopN3VjpLRrKkrjErzuueRb8/oZtmFMvLu5sFzyJo9ZEff4zY20NZFurJJ1Fnz6zPKRECgaBk65gI4jhh6EeMgwir6KxNt4/WjA5JIVZ2dSDv+gzXuItpUqw1AgCYHBpLipKUKEmB/JgbBYfRKEAAjm3gWDqarpEJCJIMQ5NzUpi9+CKqUEC+805ua1wpk738Mv6zT690SIOcSHTWnCdsHrEqWsZGJ7PZ7UCxfFFQiP1ukqZJPNfFc/PuSxxHBGGICn3udLsYhjF3HjMNM+dmStEdB0gseuMQU5eUXAupaYzTlGChe7fMNtkzNM4WHoz8pJPoGnxd8JiwHA+PCcsJo9vtcvnyZarVKq+88sp9HYE4jMUZ+4cFg8GAS5cuUSwWee211459vb4OI2FpmnLt2jVu3brFz/3cz9HcMBLxoONebY1nrmhnz57lhRdeuC/i+tnxbdr2ndEdfnTpR7T99srnSCGxdIttfxsAXdMpGAU0oREmIcNoiELRsBt0wy5KKW4Pb3N7eJt/fvOfI4Rgy93i2cqzXKxd5KnSU9TdLz769lUTXcdxOHfuHOfOnSNN03n35fr160wmEyqVypzAfCF7TiGI/4P/gMn/8g/5D/SLfGSaZIYiwkbaGca4R1wsU6+WePWb3wUEVhYzHkWcP1+hfaj7YeiS3jjE1nUcTdCe6lpcx2S4oosS9fro//SfwnCYHxLAjRtoL32D3vdeOfJ8z9RxdUkSJoggpj85SkzkGkG9rsmVHR2AkmfSW1PIFx0zzz45AoUQULRNemu2bxsa4yWdpkVMpoJ/BUyCmMkhArRVsikJgWlqIAXRc08zOn9+TvAMXW7MeNkUKp93YNYfp6nLGcdaiflxrJhiKFsGvSUEUAjmwZUNz8IYTginzmPjTgdU3p2ZifdnY4hRktEa7I/rFWwT1zaQUtBZorW5UHtwRNePR8KOj8caluPha0VY7ucXWSnFp59+yocffsiFCxd46qmnvvQbx8yp6GEp5Gedg2effZZnn332rq6XlJI43uzr/7BCCMH169dJkuTYXacHHfcyEnbr1i3ef/99XnzxRc6fP3+ix7VOr7IM77be5X+/9r8jhaRgFhhFoyPPMaSBZ3q0/Nb8b5nKGESDfJ8oTN2kYTeI0ghXcxnFeRdGTFfbAXbGOyRZwh9+/odkKqNklXim8gxPl5/mmcoznC+dR5cP321c0zRqtRq1Wo0LFy7g+/5c+/Lxxx9jmuaB7sumH3OlFB/sXOePf/8f8Kulp7kzqiIsSYCGbSiUEKRxyulKhT/1b71KaxjQKLl8sLOHaVlLs1Eq5XxlvNf36S6sznuuiT+cHHm+YxmM/vXPkMMh2Pb+cnwUUXn7MjvPPguVMmXbxBAw9kPGfR+9aNNfRQoUc63DMpRci84KZzHICc1arPisq2kX0NA3uHvZBsFo9e+Nbax3N4Nc8zPwI1iMrRG5a5ptGdiGRi9OGUfpSntlf4n4fBFFe3MHZp0hAuSC/Mm0q7HqNqZrm3/D/ChFkxLXcXAdB0XuihkGIb7vEwz7dIQ2Jy+Wac3fplEQMQoimp5FMokouxamqTFJFeMk44WvON1+EY8Jy/FxUjksj0KdsA4P3y/dA4hZ0ni32+X73/8+1epX5wT0MHQesiybC6a/aOfgUR4JG41GcwHdSWeKfJX4IoRl9lm5ffv2fRXXK6WORVb+xc1/wW++/5v5aNcUlm5RNIsoFONojCY0FIpe0Fu5HV3olJ0yO/7ONKRvvwOjS50oiRhGQ+p2nb1xC0F+/QbhgCs7V7iycwUATeq8WH+RmlPlydJTPF1+iqbbXHkeX5Wt+ya4rovrupw/f540Tel2u7TbbT744AOiKDrSfYH8XG50bnHls7d57/aH7Axa7P1Rm91+HeFJEnR0CdLMSDKNZ4CXn7+Q2xaXHPY6QxT5GNfhjomhS0gzWoc0LcDKxHfPMYg/+ywPqly8/qaJNehx6vZNesVv0u8eDJRcRwqKrrk2N2Rd9wVgsiFzZF3XQQgOZIssw6bPk2fpBGsS3zUplneIFIz8mJEf0yjajIYBmhQUXQvD1EiFYBSnRGmGrWv4G1Ll5QYdiBSbOzCuqe8TlhUjYevG8yDvSB3O0xGAaRiYhkGxWKBmG3zeHRKEwTy40rIsLCsX7+uaRpIpskwd0A45ps6F6mPC8jDipHJYtra2TuiIHkw8Jiz3iNFoxKVLl7Asi9dffx3L+mrnRx90wjJzuorjmNdff31efNwtHvTz/KLY29vjypUrmKbJk08++ciQFbh7khnHMVeuXGEymfDaa6994c/KMty1uF5l/K/v/6/8/s3fP/JYmISESb7KXbEreTK2buLoDoNwQJwdLIQszcLSLTp+B2DeTVEohnE+JiaR1Jw6URrRsOukWcYoHhFnMUJMNTBCUrEqvLP39nTL+bFZus0TxXM8UXyCJ8tPcqZwhtPe6QdmVGQTNE2j0WjQaDRQSs27L61Wi3euvUsr7rCXdfjc30bTdVzdQ5Mavc8S3nxfJzUlZAJhgKHFpFi8nMY83dyieqYOQrDX2e+KGZbO4jtU8Uw0IdhbQlZKBZvBihGoMDn42TazhEocEmSwi03kp2RLCMC6DoS9JJl9EeuKbNvU1m7bs401Fr4KU9/UHVG5Y9Y9oGgb9DZkp4ynBDHNFL1D5gK2rdNwDAJdEqQZoxXExV9iLLCIkm2sHX2DQ10VdVQKn+t91l8Pz1hP4ACUFDiOjePYKCCJE4IwyIMr+300TWPoOBiWhWmayOn32jM0as6Doxl5TFiOj5PIYfF9/3GH5VHCSf9gzyx4n3zySS5cuPBAfDkf5EJ+5nRVqVT43ve+d09f0Eetw6KU4pNPPuH69eu8/PLL3L59+6s+pBPH3XRYfN/njTfewHGcr1xcP4kn/P2rf5+re1fXbrfhNmhP2vk5zmofAQWzgKM7pFlKqlLCNGQQDlZux9IsbM2hF3anRdIod1dS4OgOjm6jSR0pBHuT1hFXwDAJuN69zu3RHX5254286yN1irKAGAoGnww57Z3ilHeKhtN4IO5bqzAMR3w6uMmN4S0+6X/K9e4NJsGENErRE50wiknkNirRefufGESphnJdtChCSydoms53o5hTto164SJKQbu3QFaM3GrYdXPL2UbRZq8zolFf/sNvWjosISyOZTAME+TZs9SvvYNIbbrCZBeTWjQi0W2yM2eOvK7gmlP72uUI1xTaBcdcSxjyca3V42LOoZDERSgFBUtjXfldsM2V3aYZNhXw+oKpwdJjNLQjov5FBEHCxIjn+iNDkxRcC93QCDLFKEqwDLmxU2RsEsHAXEyvpv87PE5Xsgy6G0jPJsMvAQfeUwEYho5hFCgWCmRKYamUveGY8bT7Ypp55sv3zxQfKIfQxy5hx8dJdVgeE5bHOILFkabjWPB+mXhQCcss4O/555/n6aefvueb6qNEWNI0nY8U/vCHP6RcLrO9vf3InN8MxyUsswT1s2fP8uKLL56s9e1diutbfosfXfoRO+MdylYZS7cIk5xwzEa5BIKG12BvvLdkh7mb2CgaUXNqjKMxju5Q9IqkWcogGpCk+wVKwSyQpimDsJ9vW+R70KbXIMxCZCZRaYgfjxFCUjAKGDJfaY2ymHEypmQWmcQBkzTXWqRZwvZkm/6wT/eDLgANt0ln0qHu1NnymjScBg23QdWpULNr1JwajvHlZP0EcUBr3GZ3uMft4TZ3Btvc6n1Of9LHMVxEJsmUolGokbgpEo3+cIDm+wgl+df/aEKrM8F0BMpx0B2Jm0i+YxeoNBqIZ57m1LPnuN05OI7luSaTTGEbGqbMOy9SSvrjJcJpWClwL7omnoLg5Zfo3vwcfB/IuwGaSshefA5qR0eFHctYSVhMQ1srqHdMfS1h2fRNS9am06uNdrr5/leTDc8yNupXgnj9465tzMewVmGRFMVpRndBX6RJSdV2SHSNSMEwSpZaKwfJJgcxfUFwn/+fOHR99GOQnk0dqYJlrM2skUJQKXjEUkeVy6RJQjAV70fbn/LTn+5Rq9VOzHnvXvA46f74OCmXsMei+8c4gCAIuHLlCnEc89prrz1wH5AHjbDMktm3t7dPVIPwoJ3nF8VkMuHSpUtomsZrr702Hyl8lAjZDEKIje/ZTFz/jW98gycWAgBPAnczAgbwUfcjfvXyrzKO8iK3H/bnLkK61ClZJXSpI4Vke7S9dltNt8neZA8UDKMhwyh3kVrswEihMY5GTJKjgu4Zqk6VcTwmziKk1ADFMB6BUvMCNRfyxxSMAtIUJCrFTyYEYV5AS6lRsSq0pgRrb7zL3nj3wH4aboO230GXBmW7RMkqUjCLFMwCnuFSNEsYUsfSLUzNxJAGuqYjEGhCm1o4KzKVEqcxcZYQxBPiNKEfDBiEQ0bhiF7QpzfpMYkDKlaFzrg7PwZDM2i4DSQa49AniCcEcUDDrtP9+ENqnSFJMOFfvVlmMHAplSwiBMgEgcmz33yZxC4QeA71yZjJ7/1L5MCHcpnsqaegWGQSZ5SLNmmUMJh2M6pl54hjGEC55BxxgDI0jbJtEPoRfT8Ey4Vf+AXkRx8hdncRpknn4nNk586zbHl9XQel6Fq01+SrrNNLCGC4ZtRKCsFgjZ2xUopxlGKvqRDiY6TXryMspi4ZbejArFS3T+FZq7tEAGmWEUXJ/P2UUlD2LAxDJ0YxiFJ0uTnY0ta1OWGZL1Qcejs36WhcU9toDmDpkuEGp7Jwet0FoOs6BV2nVCjw//2Fl4jGIzqdztx5b5Z7VKvVKBQKX3oW3WPCshmz8OHHtsab8Ziw3AU6nQ6XL1+m0Wjw/e9//4Fsdz5IhXwQBFy+fJksy3j99ddPNJn9USjou90uly5dYmtri5deeunAzf1ROL/DWGdrnGUZ77//Pnfu3OF73/setVrtRPd9t05gf/j5H/Ib7/4GSba8GEqyhEk8QZMao2iUC++NIog8i2US56RDCEHdqbPnL+m+wLwD4+gOu+NdlMpwDBfPcBGIg/bHbnM6cjYtWA51X5SChpOL9JVSDBY6QAiRC/31Mk2nSZal1JwaURozSSakC+fZdLfmxxtnES2/NXc7EwjqduOA+9kiSmaJIImIkqNVV8WuMA594vTgNTU1k5JRIs0yGl4DRUYQh1iaRWfU3zc4UHC6cJrs408wPvmUrq5x63qVz/ckuhiDK9Ati7JX5U/9iZ+nNZyQJTH6hx8g3r5KTzMRUiJu30a7cYPyv/NvkpoGg0GA5+3fy1d967QFcbxlaJQMg05vzChJCRa/q55L9p1v5+dcdFbaCm/qoKwr1VeK1acouSb9te5i6+2KXVMnTjPsFY8LwUpr5xnW5s6QWyYvt1TexyYh/LqxthkWSVGWKfrDfRIohaBR9Yh1jUgphlGKWnLlDziIzc5r4R5i6XLjcbimsZGwbCKBq3QyT5RdirYFtkW9XufChQsHco9u3LiBpmlz8lKr1e67PvIxYTkeZvXavdSTM63fg7aAftL4WhGWL7q6oJTixo0bfPTRR7zwwgucP3/+gZkTPYwHhbDM8mjq9Tovv/zyiZO7h72gn3USXnjhBZ588skjj59EyOKDhlUjYXEcc/ny5XnQ6kmK64F5V+U4ZEUpxW9f/23++M4fI8XqH9uSVSJMQyZRTkwWhfcAjuFQMkpIKde6hQkEDefgONkk9pnE+4JvTeicKmwRpwk1u4ofT5gkBwXhUuQi/dakhdSmxFAx1b4olMrQ0BilY+4M78zHWWaXwtSsXB9j5FqbpttEqYxEZSRZQpolpGlKwSysJCs1u0ZvMiBTB+8/AkHdrRPEEZ7poUsNgZybC4zDCb1J/8Brmu4We8M848YxHQqmi0ok23ufI299hGPZDDtVLn8K0pRkqYIk5tSp03z3wjeIlKBUcNACjeD6pziGxtArkk4/B86oD7//+7Rf+XkcZ//zZpk63WF4pBkyC2C0DI2iodPp+uypvPCteS7BEptjAENffd8reqs7KOvGzwDKnkVnydjaDKahwZpif1Pqu6UJkmz196TsrCc8m44fNv8ee9ZmS+Rl410HtrGB0GRKEccJrSmJ0TVJybPQDA0/zRjH6dSdb/9azva4OBJWMI0D3/+l+9pwP5dCbMybWaWTeaFZPPK3xdyjLMvmuUeffvop7777LsVice68VywWT7ymeaxhOR5mn4uTsDUuFo9+Dh4lfK0IyxdBkiRcvXqVfr/PD37wAyqVyld9SGvxVeewKKW4desW165d4+LFizz55JP3hdw9KMTsbrE4Ireuk/CwE7JlWEZYxuMxb775Jq7r8uqrr57ozPXMCWz2OdlEVqI04teu/trcMhgBRauIrdkkKqEf9smyjIbboDvpkqrVnz+BYJSM5uNkjuHgGfnql5/4+JGPJjVKZnl194V8fKtslbk9PGjCYGgmBcNDkzpkCik1dse780JbCAECtOkfzMzkVvsWjueCUmSz7otizloUauVom63bmJpFZ9JDl/pU9C+RCIQQFM0So3CEa+S5EpnKSFVKmqXU7Bp7o6Mkp2KVGYcT4nS/GBQI6k6DKI5pFur40YQoiQlVymDSo5hplCKd28rjX1zK0HWTKAHLkzypG1x84mnqW6VcZJ0q/M+2KQUj2pUaUkqkplFWMSQmvXEEwyGDOGEymWDbFufO1AnC7Ig+oVpyEAI6PZ9WdpBkhGtWxddpPNaV2iXPWtsh2bRyvUmTsUkXkmwgApvyXUqOtTpbZopNgZOuuZ6wCBSDDQ5jx+nA+Av7SNKMzkJQo2Xq1Ao2sYBRkhEk+/q3xY/Ipp84AQw2jL8VbWPjNVuV87KMsCxCSkm1Wp1HLoRhSLvdptPpcOvWLYQQ885LvV4/kYT6xx2W42Gm9bnXOumxhuVrjuFwyKVLl3Ach9dff/1EvsT3G5qmfWWFbpqmvPvuu+zt7d2XsZ5FPIwF/czSOUmSjSNy95oK/yDi8Hs2E9efO3eOF1544SsV1/eCHr9y6Ve4Nbi1sBEYhkOG5HoTTWqcLZwlyRI802MYDpeOj5StMn7iHyjEJ/FkPiYGeYfG1myUUpSs0tJtmbqFrdl0Ju0j+4jTiG4a4eouCIEf+OhSxzVdTM1EIEjShEk6IZsobuzcoFKp4LouCjUncyiFq7tkWUbX7y1YJi+sHhtF4jRhlOTuWkmWzEflZgTjzuDO0YsqRJ4js4Ss1J063XGPTGVIoVG0CpiaAUrSGfdIs7ygdnQHS7iYmkHJLiISn3YMP/2ZRiZ1khQsN+UbXpnzZgFlGGRAFqeEYYIAPE0x8wVrqohOIqkbEplJTMPALeedsCAIuHl7myDO5pkXrmPTLLlkaUZrcNTm2DL1PPRwCda5eIlpx2YVNnVI1hEhXZOM1hS+pi7Xvl4IwThK0c3V5cFhC+dl+1iHTe5fkOtP1qHomGtDNWFzB8Y2tLUOYmGUkCx0YFzbwNAlEw0MKUmmx7jO6Q2gaBkHujTLYG4K+YSl10zXJM/cZf6KZVmcPXuWs2fPkmUZw+GQdrs9N8cpFotz8lIqle6aeMzuv48Jy2acxHVSSjEejx93WB4l3E1BNEthf/rpp3n++ecf2BGww9A0jSS5N2/8L4KZeFwIweuvv45tr5p+Phk8bIRlMBjw5ptvHtvS+avulN0PLHZYbt68ybVr1x4Icf3N/k1+dOlHa62GpZRUrSq3R/udDl3qFM0iuqYTJAHDcEjDbdCZdA4ESx5GySrlTmPB/v40qVM0c7evRCVkWUaUhnO3sGUoWxX8eEKc5cVpopID56AU6BON2707PHXmKUpeCSkkinzMK0oiLGkxiIbzfBfI5/xBIQRU7RrDcHRkzAvyUbWSVaI1PkpIdGlQMAq0x5353wRgGzZlq0yaZNTcKkESMo7GBElIlsIwmFILBRWngiFMuuM+o3BE3akhC1V+91qJ4UgRW3lG4w9qDaqBQtWqNM/V6Q0nRNPCTjvdpF2oIn2fhmuwm2oIpRiGCapRJ3FdDCFxXZfTWzX6QUwURQRBgJZMaH3eobOtY3oupmVh6MaB1fRiwSZcMQ7m2CajaPlj5aK1UtsC65Pb8/yU1Y+X3fXakKJt0vZXP152DFptxSqFg65JRhuIQrSB0Li2wWSN5bJAbSQjm0gRarMGxrOMjbkoYbx/Ln4QE8cJw2FEqTCh7Fk4toGvICRbuoABYBlybtixCsGGrBhTk0uJ0bO1wsaO1zpIKSmXy5TLZZ599lmiKJprX65evYpSimq1Ote/HOe3/bgLRY9xMg5hURTlI7uPRfdfL8zEv7dv3+Y73/nOQ5ccqmkacbz+Jn3SaLfbXLlyZal4/H7hYRoJu3PnDm+//TbPPvsszz777LHIr5TyS38f7zdmupx3332XO3fu8P3vf38+onBSuFtx/aWdS/wv7/4v2JpNw20wikYEycGRH1PLQyBbk4OFeZIldIN9V6vThdNEaUTNqc3F8odRdxr0loyTpVky17pU7dwJzNAM6tOclCiNGEWjuTi+7jTpBquJkUCSDGJ2/B0ajQaxiGn7Bzs1ObnqoksN13DRNR2JnM4qKTSlEyUxRb1ARsbcH0mARGJpNpN4QtEqIUW+TyklEokhTOIspu7VSdKYOIsJkxBPL7DdP+hI5pkF0kQxiseU7SKmbiHR2Ot3yNQQS7eouzXa/R7v/Ms+7Z4HToSZZvzpikuWaKhmFfe5pxmMgjlZAahsVRh8+1tU/vCn7HVjhBTUiWiVaqTf+ubB99kyEGFCs1KE1GMwmqAbBRxLsN0ZMBgMkVJgWTa2bWNZJvGaRZN1hbC+pkDJAx9Xf/dd6yBhkTI3Xph91HVNzov5vImmyNRCt2GD/a6ha2vH1Yq2QXcN4dHkegey46DomBvHvZJsffek6JgMNxzHpi52LnI/eBwzw2cF9MchhhAMRgGaJikXLKSe618WXcPitRbSoEu5kVwVLWMp0dw0Dna3ME2T06dPc/r0aZRS8+7LnTt3uHbtGq7rzslLpVJZ+nu/mHH1GOtxEoRlNMoXeh4TlkcM67IggiDg0qVLKKXuKYX9q4SmaQTBaivMk4RSik8//ZQPP/yQF198kfPnz38p+4X9DsuDFJR1GEopPvzwQ27evHnX5PdRFN1nWUav17svyfWz7d9NZ+XHH/+Y3/7ot1FKMWI/TNA1XDzTI81SkjQhVnFuabwCUkoqduWI/sPQDIpmEU1ohGmIreVOYOvUC023SWvqBJZk8QHxPQhcw6NsVUizhIpVwU/8IwRLQ2PQGuKnY7aaW0uLhqbXnAv9ozQlShcKO5WL3nfGe4Cah1aCygMFzQJRGtNLBwjEwY6DWSJMIqLkYKGoS52iUaY1OkiaynYFS1qkMiPNUvrBkKZrszNoUbQLWJoJmaTV77N7LeWTyz7S09D0Cr/07RdIU0mmGxSbNWzbYK+/39EQAtIM9GeeYc9wkDdvwnhMcrZOei63NabVmj/ZDxMankWrO56/R5om8YoFaugoxbz7MhwOGA5SOsPBfHxM1/X5tbBNY62L1kpCEgSUP/gIs93DdGzEiy/A1hZZpsjSjDTNIIoxk4QkzfK/c9DZrB8lREtW4sX0fKIReConNlKbkkwJSggyBRKwtTzDZBm0DYSnaJtru0ewufNhbQiUFJKNHRjbkAw3/BRu0rcUbePouaiD0xozIpimGZ2Fz59jGXiuSSbFxv2UbJ3Ohmu26nb2QuP+jQEJISiVSpRKJZ555hniOKbb7dJut3nvvfdIkoRqtTofH5uNOT8mLMfHSREWIcRDWbPeDb52hGUVZvP0sy7Bw+pu8WV1HmZhh51O5ysxI5jdCB9UwhLHMW+99Rbj8ZhXX331rlc+HraRt00YjUZ88sknAF+5uD7JEn79nV/nZ7d/tvRxP/bxY5+qU2WSTnB1l4JXIEoihvHwwPti6mauM/E7R7YTpzGdSSd38LJrtCdtylYZUzdJ0phhNCLJ9ouupttcL8AXAld3uDM6JMCXBq7hYkiDNM7YvnMHoUOzdpQgSyGpOtXlIZeAJjTKdoW98d5S2+SKVWYQjEjSeJr4nZOZ3AmsxiAYzfUnM9i6jY5BfzKgaBexdItMZZjCZGfQQqlpJ0rBlrdFmimKdoFx6GOaFgJB707I5d/rIS2wLIc/8/oPcIsFWj2fkmczGQckh97yRt2jN5wQxynUamS1nNS0jyxYKU7XXNq9Ca1DYzm6ptGbOnkJAZZlYlkmUKJSsvi8NZgSmCFSSmzLwrJtaiWHYIWLl+cYjKMEXUoKpoYuJaiMZKdF/P/7LYTfx9dsfCHg8nukP/wB6vnn8/dPCkYTsVKb4drGARH5wbPM7ZiHa9zFdF2SZIpgEOC6GoZuYJs6hqGjaQIlBBo5oViVIbPJgcyzjI0F/CZ737K93qUMNgVj5oL8yYbjWHYu+YLn9MOmVuuJJmHMJIypuCaRH1H2LEzLIFSKwaH9ymP8hi27Zq6p80T5ywl3BTAMg62tLba2tua6iXa7zd7eHh9++CGO48wzX+AxYTkOToKw+L7/pefsfBX42hMWpRQff/wxH3/88X2Zp/+y8WUQFt/3uXTpErqu8/rrr8/DDr9MzL7gD6Kwb+Z85TgOr7322hfyu3+URPetVovLly9TrVZJkuTEycqiuP6wYPwwhtGQX3/713ln75212216TVp+nmfST/cDIzWhUbErmNIkUxnjZLxW+2JIA8/w5lbA/bC3MMsu8MwCrp4L5fthD4FYOgdvaCau7tJaJsDP8g6QlVncvHMLp+DMbUpt3cbWbTShIYVEExqTZIJneIRpdIAwmZqFLZeTr9k1aY87uR3xNLRyZptcd+q0R/nrbN3C0m0MTcfULZIkJYjzon8Y5CYGTbfJ9mCfNFXdMoayaI+6pFmKoZmcdk/THvcYdiPe+L+7ZCiq1Qa/8INXiGJFuz+h5Nn4o4BK1ZsLowEaFYcoSnOysoBi0SZYcIGyDUnJ0vPnLinAyyWH9gqNipA6nufieS5K5aYaYRgyGAyIwyGR0vPRMTvXvpRsA0uTmKZERSn+OKA33t+e9vs/RfN9enYBpA4oiGK0n71B8sQTYNuUPYvuGn2Ka60mLJATmnXOW0XHpDsO51EjcTy7hvk+LUMjnF5TKQSuY2KaGpqukZK7k23ShDimtpawSLG5e2Js0K+IDcGYkAc5biIsy89FzbsdBdtYa2AA+bjXbHyM6Xun65KyZyN0ySjJNrq2OYa29DkX6l9dkSqEoFAoUCgUeOqpp0iShG63S6fTmS9OXblyZd59cV33kS+ovwhOqsPydbi+XzvCsjgSFscxV69eZTgc8sMf/pByufwVH929434TllarxZUrVzhz5gwvvvjiV0YWZvt90LoQe3t7XLlyhfPnz3Px4sUvfAN5FDosSilu3rzJBx98wEsvvYQQgps3b57o9u9Gr3JndIdffvOX6Uw6GJpBySyBAD/y5+nyAkHDbazsQKQqpRf0qNk1BtEAhaLqVDGEQZiFDMPhXFfiGR5KqTU5LIokSwjSgD0/13VoUqdgeJiaSaYU4XTcK1XZ2rE0M7b4ZMEJbHZ9Zu5knuGSwaERs5yAGZpB0SjOXZkabgMECJVbI6Ny4hVn6fQxNb+HZlmGKS2G4QjLsIiSiCAJmSQBVbtKd7RHqtL90bGpc1hn3KfmVhFCEEQBaQzdSQtDM2gW6/RHPjuDFmWtwk/+8TWSGM6fP82/8Z3v0moNqZ0qo6cKfxSQJCmT+T1P0ax4BEHM8EgxqhZGkQTNkk33xojs+qcM4xhpWWRPPgnVysL7vXzRQNc1egvEQQiwbQvbtqjXqoRJQkklpGHAuNWnFyl6Zv74VrOCf7iYDkLE9g5lkdGVs59lAYYBUYT4/HPUc8+hbehepBu6Cpu6DvtjYGrpCFLBNgmnbneZUoz8EBY+UoYmCRUUXBPL0pFSEmYKP05Jpl2TDdITio5B319PAja5lJWOYRG8aTnI0LSlo2tqJuQiJxKbCMsyA4IkyWj38wtnGxroGk3bIBaCQZxMjS/24Zn6UsLyQrO04Sy+POi6TrPZpNlscubMGS5dukS9XqfdbvPxxx9jmuacvFSr1RNduHqYcRJ5NV8HS2P4GhKWGQaDAZcuXaJQKPDaa689FJbFx8H9IixKKT755BOuX7/OSy+9xLlz5058H3eDWXH6oAjvF8NFX375Zc6ePXtP23vYCcssb2ZnZ2curt/e3j6xrtHdkpV39t7hf3jrf5iHu8VpTHuhW+Ea7lxvsm4sC6b6D39vXvF0J/vC+1kHxtFc4iw+IMo/jJJZIsoihgsdmjRLDhCTil0liANMzcRzPQSCKI2YJBOiNJo7gd3o3qDeqGOZR7udFbvCOBoTZ0cLq1SlFPUSvUl/6eNSaFTtKrcHR/NZNCEp2xW2hzv7z5d5IGTDabA3bKOyPPFFIiiYBTzdYxKHZCqj43dxDReVCoRU1As1sjSjOxhRdAp4BvzOb3yMP8p45uxZXv/ud9nbHVCueKTZPlmp1ot0xyFSCiquxd7egNpWCQ4RlkrVo+dHFB0TFafsXf+cyh/9EaeCPi3DQwLyo49IX3kF9czTmIZOf4WTVbloHwl91KSk4hjYhsZeLyNKJJruUig7mGFEEAaMhgO6gz6GYWLbNrZt5YVblgIKQxz6zs8+1tN7wWRtLolYH9YoBIPJequqmcXvYlF+Nyi6Fp1RwGgcMjrQCVI4tonnGGhKUXbyTs8y4byprdevaBKGGwT55qYCUG3eRtHW6YxXdVjya7NJ+H8cMX3BMmiNAsbT905KQaVgYxgafqoYx8lKknex8WCKrJVSaJrG+fPnOX/+PGma0uv16HQ6XL9+nclkQrlcnov3vw7jTKtwElMio9EIz/Me+Wv4tSQsn3/+Oe+++y7PPPMMzz333CP1Jt8PwrIYnvmgdKKEEF9p5swiFvU8J3V9HmbRfRRFXL58mTiOee211+ZCzHWGF3eDuxXX/z+f/j/8H9f+j7VWwwCjaMQ4HoPIrYctzSLJEobRkCRLNnZfICcAutDZHm+jVIYQkqJVwtasfOY7GTOJJ9ScGoNwMM8zWYaG26Ttd1BkBGkAh2pRS1iEg9wW+KWnXkJquZtYkExIpjqSutugu8ZmueE0afvtpe+LoVm4mnPAmngGU5tqd8ZHCdkp9xRBHLJVbCKAIImI44gshTv+7nxfFbuMrTkEWcgwGGE5dbTMQNdSNHT+2T/+kN5uxHOnz/Nv/PzPcedODwCnYNFqjUimI1wJYJoatpR0umNMU6e3RG2taRqNok27PUYphXzrCox9wnIJ9KlV62SCduUKyZkzlGoFWoPl42Czq2lISckxyZKU/nBC2w+pVz2ieP99lULMuy+1sstOd0QYBgRBwGDQR9M0LMumVirjd0NyJjz9TMcJaBrq9Gkc01jrHlb2LHrr7Ipdi/6axx1Lx9/QLdhkZyxXCvIFkyBGFzAMpi0ZBZ5rYtsmQpMEacY4SlZqY2YoOSbdDQL1cMNvYMExNp/LivuKUirvQLLZPKDkGHTWjPDB0U5Plil6i2OLpoaeGtRsg0GUzrNfKo5Js3B/4wO+KA6HRmqaRr1ep16vc+HCBSaTydw6+caNG/PHZ+GVX2SM+mHFSWlYHndYHkG8//773Lp1i+9+97s0Go2v+nBOHCdNWMbjMZcuXcI0zQcuPPNB6EIEQcCbb76JlPJE9TwPwrl9EYxGI958800KhQKvvPLKgbb/vRKWuxXXZyrjN9//Td5rv0fBLKzUmhwJelQceK4QgrpTx9Is/MRf+9403CatBUKjVMYwHLBocHzaO02UxdScGnEaM4rG8yyVGZru1tpOj4ZGZ6+Ln46p1ev0ot6Bx03NpOHUCdKQulOfnpYiU3kGS5ImFM0Se+PW0vckH2eDfnDwms0skA1pkaqEulfPCzulSLMMic7uqHWgCitZRVQmCZIAUzco2SVMYbLd26OnRghgy2viTyKCOKThNfiD/+cmuzdjvvn0Bb754nNsb+ddp1q9yF5rRDotais1jyjN0DLFYJwXeeWKe8AtDPICNQoihrOOSRggd/cwdUFfmsxLK9sG30fs7BCfXh58q2m58LxqGfQGk4NWs0KsDJKcPW4YOoaRz/5nmZpqXwJGzz8Dl4eIMMw/1yp/fvaNF6FYxHMMJsPVBFffoOswjfWPu7a5EG56dCTMtfS1+hhgI+GxTWO/yBcwnkTzzgKAqWtoUtBwDFJgGCVHxtj0DavRUhy1Ij4MR9cYreniACv1LWpqMpFbL68nTpsc1WCNY9wUupDsdnIXQwGUCzampfPiqQdnHOwwNo05OY7DuXPnOHfuHFmW0e/3abfbfPrpp7z77rsUi8U5wZnp8R5VnJSG5TFheQSxtbXF+fPn16aMP8w4ycDB3d1d3nrrLZ544gkuXrz4wInbv+pwxW63y6VLl+5L/szDKLqf6XeefPJJLly4cORH5l66RrMwyDRN58L6dT9ifuzz9678PT5ofzD/m6EZlKwSAsE4GjNJJscKenR0hyAJ5iNkUkjKdjl35VJpnlKvFGWrcoCsHEbupNVge3x0vMoxXBzdQRcaujRpTVZvx1AGuzu7KAMazSbi0OiOFIKSVeT2aEn6PCDJx7x2RvkolxASTUg0qSGQFM0ik2hCpjJswybLUjKlSLOUgllkHPoM0tGBbRqaiau5dA6ZAlSdCkmcUrILJJnDYDJElwY7/XY+8+6UIdXY6bWoFWrYwuHa5W1uvD3glee/yfnTW/QGE5RSlAo2cZrOyQqA41qMW8O5uF6Iw6veimbZRUjBbndBbJHlZgEFLeMAtZleSksoBofGwYqOiaVJUIpW62jGDuTF5KouhoAjVsdSChzHxnFsGk+fZbveRL73LrLTITFNJufPkz39NFYYkmTrf7MWAw6XP77pXrl/v1k2ErZJ0G8b2kZCE2+4X7uWQXfR5ECB51o4joGSgnGcbgxYLDnm2k4TbB7lso11xgA5mTtOMv26AFDIDQiWpdcfeM6CTkYB/VEAI/jFC6c37v+rwt2MOUkpqVar80yuMAxpt9t0Oh1u3bqFEGLeeanX6w/UoulJIE3Tez6n8Xj8yGewwNeQsNTr9QdG93A/cBJjUkoprl+/zieffMI3v/lNzpw5c0JHd7L4KkfCbt26xfvvv8/Fixd58sknT3wF6GHqsCzm8azT73xREraoVxFCbPwh3B3v8qNLP5pmnuwjTg+GJ572TpOqlIpdYRgOl2o4ynYZP17ovpB3bvrBvs7E1m0KZgFU3okZxiOi5GDBpEuDolmgtaJrMol90izF1m0G0+dYmoWjOxiaQaYUcRYRTsLcCcxzKJaKR8iKoRl4hkvrUEjk/uPTMa+Fx5XKSKadl4bToD1eTuDqbp3OuHvkPXRNF1JBf5J3YzzTwTFdDGHSHw/w4wnDcDwfqQvCkGaxxmAyJEsFKlM0SnUMZXLj5h5X/6DN6y9/l0qhhG7qBKMxlZKDaeoHRrTqNY+dncGB70m1VqAzJRqWqeHoGnt7QwqVQ/kEjo2qVglatw9ewTACw6Dw7JMEKKQQVD2LKEwY9nyGQL2+eiXT0FevlJYKDv01GpJMgX76FJw+BYDMMvQwJAhCet0O/X4PwzCxptqXxVVZQ9cYrtm2rmsM1wrZ1VFNx6Fb2ior5RkKjkWwwlENps5dG0a5jnRPBIwnIePpuRmaROgaDc8CTTKO0yNidGNDV+M4o1wFy1jpdpaPhImNpMfU5MbuiWcaGwnLqv1cPPXVj2avwuGRsLuBZVmcPXuWs2fPkmXZPLjys88+47333qNYLM7JS6lUeuAWUu8WJ2lr/Kjja0dYHuXWIuyPhH3RfJJF57RXX32VYvH+hVLdK76Koj7LMt5//33u3LnDK6+8Qr1evy/7eVgIyyy5fnd3d2MezxcZCbtbcf2HnQ/51cu/in/IDWsRmtAoO+WDnQ4BRauIrdskWcIgHFCxK3Qn3bXdl6JZJE4TWuPWgb87hotnuAgEcZaQZulaAX7BKJCq7MAoWpiGhOl+EWolFp9s32Cr3qRermNIY35N4yx3FspUSm+BTC0iH/MSB8jWIrbcrXyca9ljXpPd4cHHTM2kaBbRhU6mKUzNzHVA0QRXL3BnQYxvaiZ1t85oMmYYjAjjmJpdIxj7hB9fp/pZm512wLufV/l3f/7fJLPKeWZKz6dSchiPAqLp2JlA0Ky5KI66BGbTz0etZDMaTOiNQkole0mhLHB/+F0GP+mj+T5oWi5sl5LspZegVKKRZfQHE9rthW6ShMEaTcK6AtU0NVhRzwsh6PuHuy8Sx3FwHIeyd4q9/pgwDPB9n36vh24Y89yXaqG01u645Jh0RqtTFAuOdcDtSil1gK8IYLiBbGz6ZpfdzZ2PMFnfoSnYJt1xwGThWO1pQCOaxE+yjR2Y44xyLbMW338s72Jusk0u2Jv1K5tI4Cpy1Sw6VNwHt9NwL4RlEVJKyuUy5XKZZ599liiK5tqXq1evopSiWq3O9S+2/WBqetbh8UjY8fG1IyyPOmYf/C9ilTfTH7iu+1A4p33ZI2GHxeT3M1X2YRDdR1HEpUuXSJLkgLh+Fe72nO6WrPz0s5/yj97/R7kbleERpAHD8ODojqVbWJp1NGtEwTAczp+/5W0RJAE1t0aapnPh/SJq9mrh/CT2mcQ+JatMkASkWZKHRmp5fkuQBLnAH6jYNcbRaGmHJ78OuRPYJ1MnMN00jmhLyna+nySLsXUbUzPRpY4U+XXT0cmUIkkTbMciUwqlMhS5Lsgz86DGklVCzkbuyLtZlrSI0piGVydVGXEaE8QBRatIb9yf2yFDPuJUd+rsDdtYuknRzrtAQRBxp5sTmLpXI4lgu7PL1jsfkX36GePA4q1bBf50NsH/6RX43iukTo1KyWXy8U0aWspu30LUajSrLqNRwGRB2yCEwCvYDMYhjZJzYGTLtE0Ijr5H9jNPcvOVVyjv7mIM+ijXxbvwLO7F59lrD1j2Ua0UnQN2xovwXHMtYVmX+VFaM0oGYBo6pmlgmgbFYpEsywiCXPvS6XRIgwFBpmPbFpZlH7E/Xi2Gz+FY+hJ73v3XHKfIH20o4Nd1nyDvnhwemTuMZbbOQRgTTI9dlxJMjYabd2BGcXqkU3KcUa5xuOZ3RSkKpnbEevgwNoZBrgmdnKHkmEvtmV84/eB2V+BkrHqXwTRNTp8+zenTp1FKzbsvd+7c4dq1a7iuOycvlUrloei+nARhGY/HD4QZ0v3GY8LyiGExUPFuvgTb29tcvXqVp556aqn+4EHElzkSNhgMePPNNymXy0fE5PcDD7qGZTQa8cYbb1Aqlfje9753rOtx3HO6W3G9Uor/84P/k5/c+Alw0GbY1E1KRp63kqYpk3SyNuhRSknVqu6Pk01rSCHE3DkszVIMabIz3mHdunLDbdCddElVfh6Hc1R0abDlbpFkCZpVygX48ZhM7RdLAkkyjNkZ77DV3Fp6nRtunc5CJyhIAoJkfzW97jTY8XeXdop0aVAwCmwPdpY/Znq0hke1ME23yd6ofeD0danTdBokWUbJLjIIRhhRQJoo4iShUawjlEZvOMQxbM76ivjWHUyzyps7Dv92qUjaGmFc/wh70CK88AKTm7eh2ycwwZAm9VNVtr/5Co2nTzPpjEDla+FKKVzPRPgRu3v9ae6LQEoxT6o/CMVgEpGUSoRnz1Kpl9GUotv1sTK1lKxAPlq1Cq5trgxltE2D0Zpi3DTW36uD+OB2pZS4roPrOigFmlQkgzHjsU+328MwjLltsmGYG7Uly8aOFr9yprG6OwRTfcuGEMZNGprihi4QcKCzsgwl16QzDg/YPzu2gedaKCFyEf8GouGY+lpyqRQYGwwMYHky/SKOEzpprjBSuPAAC+7h5Dos6yCEoFQqUSqVeOaZZ4jjmG63S7vd5t133yVNU6rV6nx87EHVLZ8EufN9/yuPmvgy8LUjLA9DIX4vmN0kjtt5UErx4Ycf8umnn/Ltb3+bU6dO3c/DO1F8WWNTMzL37LPP8uyzz34pn6EHeSRsJq5/6qmneP755499PY4zEjYT18/OfZO4PkxC/ser/yNXd68ufTxKIlpJi5pTYxgPsXSLptvMdShRnyTdLypMPbfqbS9Jk1dKMQgHuQ7DabAz3qFgFnB0m0wp/Kld8Qxb3ha74z3WEZqqXeX26PaBvwkEnuFhaRZSCXa294iykLOnzpJx9POw5TXZHbdW7qfpNNkbLx/zsnUHXej0JkdHxBzDRqLT8w8+JoSgYe93UDzLQxNabmQwmXBnsK8bqtgVVCZwLJ1eOkCluaC2YLkYWKR7n6AG8GHk8H2thPbp52SjmEAJ7P6AyR/8jCSD5rk6Ld2hGk9o3dzGEW/Tq1XmIYdKKWolh25nTBynedcIhVCCWq1Aexge+QxVyh69SUjB0iibGoPOfuR8nK763qm1HYB1YYYFzyRYYZEM6wtxQ1/fefDsnCyUSkWgSJpmhGFIEAS022MsQ9LVzfn4mLZEJ3J0ZG7BWhnmoY+r4Nr6WsKiaYLhhg7MpgLX1LWNmpBlHZhJEDOZjlUJIE0zGrZBKgSDMCY9RGBcU1tPWFAkqWKd8a5trN8GfPHQSYHgwtaDTVhOIlvkbmEYBltbW2xtbeUW8uMx7Xabvb09PvzwQxzHmZOXSqVyXzpAXwQnca0eB0c+xkOJWT7JcQhLFEW89dZbTCYTXnvttYdOtHW/R8KUUnz00UfcuHHjSydzDyJhOa64fhU2EZZZV2X2nE038W7Q5dff/nU+6Hyw9nmLQY9JlDCOpsXpQt4KwCRZ333RNZ2iUZzbDY+iIaNof/TI0i2KZglTmviJjy61peNimtAo29WltsUKxTgeE0cxOzs7KAOq1SoZWZ59YtiY0kAKiSENJklA0SwQpiFxGs9n7wWCutNYSVZKZokwiRgl46OPWUXCOGKSjNGkjmNY+yNmaARRiKmbhElEmESU7BJBGBEleUFq6xYVp8J4MmEY5PqP04VTJEnGKPQ5XTjFcOzjpTo7bYeXq3XCnTbZMKJveZxhQkvaJHGIVBlBmlIyUtrCAhsqnTtsD4fgefkIWslFCZFLUDQJKjdGQEGi1Py/Z2NuQggcWwel2L01gUzHsfPVV9PS6K8Y+SoVnZVjUaahr9W2rFvUt019bSZIybWOhFQuwrXNA2RB0w52X4q25Harz2g8ptfLuy+WbWNbFoZpUnGtI2NHaoGvyGOI5VfdqsT2NvLKFeq3b9IpVMguXiT71rfy9MdD2GSJXHRM2mtE/fk21pOEsptn1Qyn43dCTEMaLZ0wVQzCmE2BmRrgxxnrBnA8S18p2p9hU6dnlT3z2aqLZz3YOSVfRodlHYQQFAq5dfhTTz1FkiR0u106nQ7Xrl0jiiIqlcp8fMx13a9sMfukRsIeE5bHeChxHMIyGAy4dOkSxWKRV1999aEMarqfI2FJkvDWW28xGo2+EvOBB42wzMT1e3t7G8X1q7BOw3K3epVP+5/yo0s/YhgO0aVOyS6hCQ0/9ufakFl+ysqgx2neyizEMVVpTmB0ay68T6cBjI7hINEOjJsdRpYpkixecAITeEYBx7ARCMI0IkljdGkcsf9dhJVZS53AojQiSiN0qVMwC9MOziIEpmbi6A6mzM+h7tbnRfoMutBJswxTsylZAkUGCJTKsDSbUThCSm1OuEZhgqUnmMKaE5AZ6m6N3miAY9qUnRJREmFJm+1ufmxlp4QtHba7bYqWR8NpEIUJRb3EQD7BM2ab7daA6nBCS5iUiWmnBpFtISYhW1rMeBLS03K9mNQ1BlkGUYRdL2MKwd7ekFLNm16BPNFPExqWrTP0Y6SQOZFT4Fgatq6xuzsgXiLOLhUdWv3lRbFl6bCCsBQLFu0VHRQp5EoSBLn2JVgSdDmD2KA/SdfcJ4QA07Ly0Rny4igIQ8IgoDUa5Z+NZgk/ldiWtVBk7ovui6659vhRLO2eiM8/R/vd3wWl0KMQxmPk5cuIVov03/l3DvACy9A2EpZN5eRxOjD6IaKklKI3nDALStI1ibR0Go7JODnqQAbgmRq9yaZ78707lRUd44gRAzzY7mAzfNWE5TB0XafZbNJsNlFKMZlMaLfbtNttrl+/jmma8+5LtVq97yPfizgpwvKwLTh/EXztCMujPhIGmwnL7du3eeedd3jmmWd47rnnHtprcr+K+llYpmVZvPrqq1+J+cCsG/FF3d5OEjNxfZqmvPbaa1/YiWWVhuVuycqb22/yP739P82thpMsoTPZF9Hbuk3JKqELnVawvMMwQ9NtsjfZm09UDcLBAd1K0SxStIokabLSfQumDlxAL+gtnhnjeMQ4zov8ollEIUhUSsOpI4QkzVImySQfJxP7TmCVSmWpqUNOnOSh/ezvTxM6SZrRX5Hj0nSbB9y7DjzmNbk9uHNkuqxgFkiSjGG8T1Ysw6JqV0niFFO3GIU+43BC3WnQGnSpF2qkWYrMdPrjEadKTdJYITKJJQxE36VSqXPnqQnN65+wM84oJRMMw6LvVaDg4Q17DDPJWO3/TNXVhJZZoHqmzihIGMQppZJzJDMFoFx22e36SCkwDY2SbbC3N8Aqu8RxSqby0UOV5V0YIQTxmvvJeE2BuW6tvFS0Vgr189eu/7wfsRtexKbuhzqYTq9pGp7r4rkuSimiKCJTGaPhkF63i2GY2LbF4tfU3FBMFVxzaYdIe+ONWaALgWHORTHi1i3E7i7q1Nb+Nmxjo8ZlExkpOubaThRAtMFBzNIle939rqNj6biejZqOjyWZQoqD+p4vcqwF29hIWIwV5gAXH3D9CuSE5css+u8GQghc18V1Xc6fP0+apvR6PTqdDtevX2cymVAul+fdl0KhcF9/gx8TluPjwfxEPcY9YRVhybKMDz74gM8++4zvfOc7bG1tLXn1w4P7MRLWarW4cuUK586d+0rDMuXCfP5XSViGw+HcbOBb3/rWPd1YD5Ow2X/PNCvHISu//dFv8+OPf7x2tEwTGqNoNLc2LpgFHMMhTVP6UZ80S+eZIOvS5JVSWJrF9nBnLoT3TA9Hz4lEkEwYRSMqdjUf40pXF45Vp8Yw3Hca8+ODo1hSSPRAp93v8MITL2DaJnEa4ceT+WtKdokgDpmky1fyS1aJIIpWPt5wpkL5JWi6TfaGR8ldxakQRwm2YVG0CiiV4UcTPKPAdm9fr6IJnabbIJ0KSIfBmIJWRBMaUkhkpuNHEwq6g+EX8YfQaw9ofvfb3LEblL2PMD96nz2nBgWPkg6eY7Dti3zeKIoQcUSgQ+Ol59kZ7hd7pmPCkuJvFMRICfWSQ689pjUKEEJg2gaMA7qdLpqmYVomqDwpvtv3YdqlmXem0pRi6w7j9wcI20GdfwIsa74fIQT9JYRphmVCfcHU+UuTCKWoF2zE9O95kno+3KdrgjhRFHQTMf1r/h3JZ7YMQ5uPFilym9xM5eNGcZph6dpK+928cLPJlGBryyVJU8IgIAhClFK0Wm1s28YgJcvkSqcxZ9lIWxRBJ19EMFXKUNu/XgiBuHPnAGE5nCe0bB+bNCGbbpOa3KyjcUzjgHHCJEyYhPsp8yXPZpKlFMw1Ke7HOFbb0DYSlmX6FSkEzzUffMJyEmGIXxY0TaNer1Ov17lw4QKTyWRunXzjxo3547PwypOcRsmyDKXUPf2uKqXwff/xSNhjPJxYRlhmlrxRFPHaa689Eh/ukxwJU0px48YNPvroI1566aWv3HFjRli+ytb67u4ub7311l2L61dh9voZ2VgU128iK3Ea8w/f/Yd83P+YolFkEC3XmlTsypQ87BcDo2jEKBrNj6FqV3F0Z6oz0ZfqTGCaS3IofHIcjfc1MEBz6vJVtSv5+FQ8PhIa2XS3aPmtldkOAkk0iLk9vkO9XmeYDWEhRsbQdBpuM9eLWCaSEhk50UtUQpImeIZHd9InWWKNrAmNslWhNT5KVjSp0XAa+JFP1a0ghYYmJJnKMKVJa9TNtSnR7PmSslllb5hvyzVdSlYBP4jY7ufXyjM9CnqJ1rCDaziY2KRJRkEU0Ecu417KuJ9SqXgMOgHF03XGFRdlWYjrN6kM2kwiRVyooE6VwB8joohaxUF94xvsnHoSkgTR7aIbGj3r6M9YueygGTpEKXs7+58VXZPsdUfs7e1hGAa1ag0hc/Jcqbjs9X1QU6c6FGLsY/z+71Po7TDR3ZwVXL1K8if+BGw1gdzquDs+urJv6hquqaMBzUJ+DeI4JgxToigmJMIu2rT7R3VEMzRrBdrd1ZlCzarHXm/160s1Dz1KsEwd3dDRNYHUJErkpMY0NFqjMLfO1jR0z8PzPD7//DblcoksTfl8t02SJJimiW3bWJaNrutzgrBUi6FpOYNQilIa0pKH3qNDq+/ruleQu5BtIgGbAhiLjrm20wXrc1EU4AcRrfYYqWnUNZtSwUZokmGcEk67N+4xCMtqY4ccmhRLO2tP1gtYGxzlHgQ8aCNhdwPHcTh37hznzp0jyzL6/T7tdptPP/2Ud999l2KxOCc4xWLxnn4XZ3XaSeSwPMiZeSeFx4TlEcThzkO/3+fSpUtfmiXvl4WT6rCkaco777xDu93+wvqMk8YiYfmysUjevvnNb3LmzJkT2e7hczquuH4QDviVy7/Cp71P539btCseRSOCJKDhNmhP2mu7L7ZuE2UR3VGuRRFCULbKGJpBmuV5K5nKqNm1I2TlMJruFnv+0efYuoNruGhCYkgzP6YVZEVDY9Aa4qdjms0mmjz6w1Wxq9wZbrPSCczdYm+UO4VpUpt2NTSklLlAX0nCJMQzvXwMavo/TWiY0mRnePQctrwmt3sHR8dMzcDVPNI0pVlsMIkmoAS98YggCihYHmW7xG63S4cuW4Umg9GYkuOSRRIr9hj3gVSjUDAQqUSKjEkUUaqWaF98mdrTT9H75HPqFYddrwqVMqQZnsxIqyU6gwBx6xby6lXwfepGyl6pjvjOz6FOnwbAtQ0cQ2d77yiptR2dWzc+x3EdyuXyvNgQQqAQaFKb610ylaG/+Sai2yVwPJRuIZSCiY/2B39A+kv/LmgamibwLAPb0JBKEcUpvh8STSI0x6TXXUYo8v0aG4rPeI3zGEAYbyiMk4wkSUmSlPms4wKaVY9sFGDbBpZlYBgaQgoGpqDkuRQ9m+4oIElSgiAgDAMGgyFSyrltcn9Z50XTUE89hbhxA7l4CtOU+OyZZ+Z/Ok5HYhMsY7N+ZdWI1eKxbcqBKTkmeU9WECcp7QWy6DkmrmuiC4EUYiX5EUIw2KRfsQ16S/UrD353BR5uwrIIKSXVapVqtQrkLoftdptOp8OtW7cQQsy1L7Va7a67SrPfwscjYcfDo1G53gW+aj3AlwFd1+eF/GeffcZ7773Hc889xzPPPPNInb+Ukiha/wOzCUEQcOnSJYB70mecNL4qwpJlGe+88w6tVosf/vCHJxpGNfvsJUmClPJYI2CfDz/nR5d+dETsPrMrhnyc5LR3mlSlVO0qg2hwwK54hrJVzvUiCyNTSqkD+SimZlK1ayilqDt1hvHoSMdESo2qVV1KViAfFUuymJJVZm9qW2xqJq7hYkgDhcoF9EHEnZ07KAMazeaRsRiBoO6uNg2YWSzvjfYfT7OUlPy7XzALhHF8wG55hoLpkWaKQXAwWFNKQc2qsztoz/9dsAq4mkOSZvT8aVBmABWniu/7FO0Ctm6hKZ2dbpeqV0akgiROKZpFiDWMyMPvKDSpkyoYTwIMZTOJItIsYzxOaNQLtPcyuHCRYcmZj3nV6kXSOKUzCKDVQv7sZ5Ak4NgEpoDBAPlHf4j6f/2/aZw/Rac7or1EDxEEAYNxh0KxcGQu3TC0eV7LXLgfhMidHWxdMtTtfCBLCDTTpNJvodo7ROfOM+r5BGHMMlpScK0DmSCHsU63IYVc6zym6+sfF8dw95q5agVBTDC93goYdgNcy6dq6BSlwCrYiLJLrBTjMGE4nhAEAUkw4rNuF9OysC0L27bnC2LpD3+I3mox6S8coxBkr70G3r4+6zjdk00dmIJtEm7Qr2zSyBSc5VqcRWjTbtyy+9Z4EjGeRJi6BmlGpWhjGDrjJMNfIJYl21gaBrkIfUWxf2HrwRfcw6NDWA7DsizOnj3L2bNnybJsHlx569atefdlRmBKpdLGazCzNL6Xumw2EvaYsDyiOE4exMMMKSVJkvDuu+9y584dvvvd79JoNL7qwzpx3OtIWLfb5fLlyzQaDV5++eUH6gY7u4F9mYQlDEMuX758z+L6VZid040bN9ja2qJUWr9a+NbOW/za279GmKwp2qROySqxPd4+sJ+ZXXGcxQyiAVW7SnchXHEZCmaBNMvYO9RZcQ0X13ABMR81a09Wi/kt3caU5gEjgJnD1wx2ZvHpnVuUSiVO109jSCN3UVMZURqRpAmWZtHyl+9Hkzolo7TStrhiVxmHY+IlxK1ilxmHkwNjcwC2YVO1aiRpQqNQJ0oiRuEYoSTtUf/A85uFLUQKEyFpj7tsuU2UkuhSQ1M6QRRhSguZ6RixSzicapYS2Ov0OV1t0O4MieOE5lYVMsHeTk4c61tF2lOnrq2ax+7ugMapMkwi5I0bEEdQKFIyYCANKJhUBx3CGx+zaznUG4X562cYj8cMh30qzSb2kgC5Usk58hriGDJFSWaYWYSdJkQZ9DNJJxIkrSFuM55rHhYzg2blxzInshlMU2O4hlCUija9Ne5hJc+isybbpeRZ9P3V3x1T1xkvK5zVzBob/CBmHMQMD3VnSqbO6WadgmvSD0K6wzG9kc9gMEDTtLltcvH/82fpf/gxtPbAssmeew6qlYO7W2tZAI5lbAyM3FTw5SNWm/Qr6+2lYZ/grdqdZxnzTk9v4b1xLAPPs0gRGCvCIBcRLvnc6JrkmebDMfbzqBKWRUgpKZfLlMtlnn32WaIommtfrl69ilKKarU6774s+z09iQyWyWRClmWPCctjPLy4efMmhmHw2muvLXUbehRwLy5hs87TxYsXefLJJx/IztOXaW08HA554403qFQq9yyuX4bZebz88svs7e3xxhtvoOs6jUaDZrNJrVY7sM/f/eR3+b+v/994hkfJLDGKR0c6BbZhY0jjADGA/ZDHGba8LaI0ouE2iNKIQTg4QlzyAn9EvEQD4sc+fuxTMAqkZMRpRMWuYGgmWZbiJ/782IpmkThNGEbDI9uZwUosPp46gTmuQ/+Q+5hjOEipMYgGOIaLpZlIIdFEfn0EAk3ohElIxa6QqgylcvFmhqJgFBlHYwxpYGkWQpCPiAmJpVlkmcJ0LDKVkaqMOI0RKte23+lvHziWhlunM+qTqYyC6eGaDhJ9LrjXhM6Zwhm6o0GeZu816I9GVJ0qIpFooUs80ZhMQlzd43arQ6NSnpMVw9QRGezuzK6BYhKlaFJQKTrs7gwwTG0qhgeGQ5C5PsLUFIbKKKuYVixR3fyaZwudKgUMBwNGoxEXLj7FOFpeHB+WYeiapHS6gW4I0sGEARaD2c9lHIGuI5pNvILLOB7lC2BKzceABLnYvr9m1b/orbZCBjYWthuDFk0d1hCWomeu3b9paCs7G1GUEkU+Ks0YjgJ0JGeKZbwtgzhNGAUTOsM+iQ9ho4F17ty0+3L0vrJRv2LqGwnLpnGwkmMt1RktYp09NOSp8+Mwni52rjAgsPSlxzIJ4/k5lD2LiibRTZ0wyxge6sAZmlwqyH+mXtw81vaA4CScrx42mKbJ6dOnOX36NEqpefflzp07XLt2Ddd15+SlUqnMR9pPYhwMeExYHuPhQ7fbpdVq4TgOr7766iN90zhuQOYisizj2rVr3L59m1deeYV6vX6fju7escoG+KSxu7vLlStX7ovN9eHk+jNnzszb6bPP6rVr1wjDkFqtRrVW5Z93/jk/2/0ZwIGuhGM4FIzCXIPhJz7DcDUxkFJStatHtCia0HLCIQ3iLMaUJnt+C7Wm+1K1qwyj0VzUfthW2NBMmk6TJEuwtBQ90RnH4wOrx0qBFmh80rlBvVHHMi0Oo2iViJJ9J7BJ7DOJ90XXRbNEnMQEyfLiK9ezLB8h2/KabA+OjrHlQZExYXJwBfqUt0WUJNS9am5bHPvYmsvucBfbsCnaBVQsuNPdo1GsQyJI44yaXUWFEhlbJIHAH4VYusXt7Q7FosugHxJPR2TqlSLbd/bJZb1ZYhwmuJZOu5W/t5VaYd9qtlSCvT10MoQCGae0MgkoVKGAaerzlW2lFL1ejyAIaDabmJbNODpaoM+Iha5JKp5JlmT0+z6dcYb50ndQP/tj8Ce5UDxN831duADFIlGyv0I6c72bkZeiZ9GZBh0uhlbOseF7tm6UDFjeHVlAuNFVa/n+Z5/YkmfRHa3ehxSC4cJIWhyn9KZjVwKDmlOmVrIYTALCKGDYGRIriWXbWJaFZVm49ubuyYYGzLE0MLq2ORdl4B8nuDKYynCWby/dFAYpBUM/OqBvsQyNQsEGKRlECQXLoLuEaF44/XDoV+Dr0WFZByFEnn1UKvHMM88QxzHdbpd2u827775LmqZUq1Usy7rn39vRaISmaQ/MOPv9xNeSsDyqI2G3bt3i/fffp1wuUygUHmmyAnffgTjslPagd57ud4dFKcUnn3zC9evX+da3vsXpqWj5JLe/KrleSjl3Wrl48SK+7/PpnU/5u2/8Xa73rqMb+lTUa2OauaXrJM7zSupOnWE0xDVcSmYpH/s61DUxdRNbs2n7R52xUpXOCUfTbbLntyiaxbz7oFKG0Ygo3S8YGm5zKuZf/V5UrDK3R3dYrK6kkBSMAqZmIpSgs9el43c5tXVq6Xez7tToBX1StZyE1+wag2C41NVMCknNrk3F9wchBNSdBrtLbItrTo2+PyTNUhzTxjWcvBujNHYH+85mmtCpmBXSNKXmVRkFY6IgRRMaVa+CSGTeucGCxEAmBslEEowTTMNg586AUtHBNiyG4QAhBFuni+zeXiScCt3UyUbhfNVZCBgtjE1lTz+Nc+sGW6M2n9m5EJbJBGwH9dRTlCsue90xmVJ0Oh3SJGFrawvHtfKAwMPXBmhUXJI4pdsb0zq0Cl/63rdpGwbyvfdgMICCR/b8BdSLL2JaB9PtF0fClFLohn4gtDIjA7WvkVnXfbFM/cB5H4Zjr+866LrcqF8Zr7L4nXWJNhRSpYK1dmRNCEEQK9JUomsuZcchjiM0lRKPe4yGQMHBz3Qsy1rafYHloZSLcC1zqU5rEcEGc4KiYzLYQAD3r4dazjWVYnQM0f5hp7IwTgmnhFwAtqnRdEzCTDFYeI8fFv0KPCYsh2EYBltbW2xtbaGUYjwe02632d7eJggC/uAP/mCufalUKndVu/m+j+u6D+SUyEnja0lYHjXMUsh3d3d55ZVX6HQ6hOF6+8ZHAXfjEjbLEymVSg+NU9r9JCxZlvH222/TbrdPXFwPBzsrm0SFQgjGasxv7f0WgRdwxjlDEAYEQUC7nRMO27ZxbIcnqk/QDtrzlPoZ5l0TzUBlCj/xDzx+GLrUKZmluaB9EB4cy8p1Kx6WlhfYrFjg2M9zOUoGMpUxjIYHnMBq9Tq6pmPrdi5UFzpCCHSh48cTTM0kTMMjI2tNd4vWuLV0ocWQJp7h0Rp3jjymS52CUaA12hfR27qDpZvY0iFJU4p2gXHkM4kC4iSmaJbpLmyraHp4RpGe3yeIQ1zTpWrVCKKQSRxQsar0gxGe7qFLkyzSiH1F5KfoumTYiyiVHDRNsrszRNMkpapNGkG2sCK9dbrM3s7gwN9qjeKBsaXGc+cZ+D9k8N5bMC2WVaWC+s53oFhkEiWkaUq73UZISbPZREqZJ9gvbMe1DDxLZ9ifEAUxnRXWwEoI1FNPkT71VD4zt1CElQo2rcO6lymEEPhBvN99YbH7koctzmxrZ0Rn8StScC3CFduG3JFqXQem6Nl0lxC0GXJdyPoi3t/w+Cph+Hwfh0a5pBRY0/waTXeJkxg9zWA8JBj10S0TpZtIw8oXKcRBTchKiPWLj4Ym14dvAqYhYT3nmV+P/Ct49H52HNH+pmumgMEonJ+zoWuUCjaGpfN0/eEZ+XlMWFZDCEGhkBt/mKbJ7du3efLJJ+l0Oly7do0oiqhUKvPxsU1kZDQa3fdwywcFD37V9hhrcdjlynEc+v3+iQcqPog4ruh+e3ubq1ev3peRp/uJ+0VYwjDk0qVLKKXui7j+bpPrr7Wv8feu/D0m8QRHd/BMD+XlOpQoi4iiiDAIYQJvdd7CtMx598XQ8xCvWdek6lTnY2JVp4oudII0YBSO5t0CS7cwpXVE+7KIKI2wdYfPh58BOSEqmHm3JEMRJgGTOKBklZaSlRlMZbKzs3PACUwpNe8WzQjPnfGdA68zpIGpmRjSwNM9wjSi4TQO1EkKhSY0hNJIs4Sm15hlHuYWvUKSphlJmlC0ioRpSJRG+JGPp3vc6R+0LbZ0C0tYdEc9ik4RW7dQSjGaTNj2d/Nj9epEYcpOv0XNrSDTfBSoaBTQlY0KNBIfVCzz2j7RME0YTXw8rYBuaHgFgzhK6PXC+Zk0TxUJw/QAWQGY3cUMQ6PomLR2BxQvPEv37Fno9fIWTKUCUlIo2HT7Y9qtFqZpUq1W55+9OMvz5GtFhzRO6PV8fJVrVfordBxSSPqjhccOFWDrpn+KC4QEFkIoRf6+ea7NKJgRAjU/7/xwN08AHL5Oh6GtCHmcwXPMlWNUiryAn4TJ2u/uJktl1zGYrHiOEGDqBtLQ8AoWWZYRhCHhaAyqT2rrWK6Lkh5pKtDWaDc2aWCKjklng4NYmq6/npau4U9JRO4SdvQ5xxHtR2tMGCDP7lkkaDPr5BfP1VYGdz6IyKYBso+xHmmaous6zWaTZrOZ/zZMJrTbbdrtNtevX8c0zTl5qVarRxZbx+PxI5Grdxw8JiwPMTqdDpcvX6bZbPLSSy/NbxBfRNvxMGJTQa+U4qOPPuLGjRt8+9vf5tSpU1/i0d07hBAnTlgGgwFvvvkm1WqVb37zm/dFXH83yfX/8ta/5B+994/mHYVJMmGSTItEkVsRO56DQLDr72IkBsEk774M+gM0XZt3X85VztEO9nNYFq2QdalTtIrY0ibO4rVkxdJtTM2kM9kfJ0tVesD+2NYdCmaup2k6zdyqOIsYRz6pyou0mROY4zkUS8UjtsWa1KaE56jmJM5iMpVhWTafD28vPc6SVSaIh0TJ0SIp16VER3QpUkgq9n7w4wxFs4hneLk7mWExDIZotsZ44qMQNIsNJJJ2r49t2pwpnWY49inYHjLVUIkGqUY4zjCESZiloARxnDGeTKgWSww6Ibaj0R+MqRUqjNQYTZOUqzZRnNLvH+wKF0s2vcGEWtlhNJjQmWpabNfMRcmH9GdSU+zt7eG5LqVyeX61PcfE0gSWgvbuwa5bueLSHiwPZiyXnZVdCinEWkth2zZXruoLBFGyX9Ad0L5MOzG9UUCapfvdl4XPjhAwWCOmh83dkXUBiSiFY65fHdekWDuylmP9d7/gmvMRKiklruPgOg5KQRzHjIcByThgNAkoFl3sgkemGSi5H1rpHMMSWW5aoBJsHAcrOAbhcPabutzWONlAeo7jVFZ0DNrDo7/dF89W1r7uQcPjDsvxcJjYCSFwXRfXdTl//jxpmtLr9ebkZTKZUC6X+f3f/31effVVfvCDH8wJy0ksxP7dv/t3+a/+q/+K7e1tvvOd7/B3/s7f4Yc//OHS5/53/91/x6/92q/x9ttvA/C9732P/+K/+C9WPv8k8LUkLA/LCvsqKKX49NNP+fDDD3nhhRc4f/78gXP6OhGWVeeZJAlvvfUWw+GQV1999aFMgT1p0f3Ozg5vvfUWzz77LM8+++yJi+tnnRXYnFyvlOJ/u/a/8Xuf/t6ajeZjVYNowCSeoEmNZqGJXsy7Jv1JnzAKCSYB6TDlrfZbWLY1774shjAmWYJAsOfvkWTJwgiZSZolDMMRcRZRMktEWZSPga1AySoRJtEBArMIW7PRY4Pt3Ts8deopbM8mSAKCeH+V1zZsDGEcyZeZwdQsbGnT8ZcTq7pTpzfpL3U2qjlVBpMhSXbwu2FqJo7m0A8GlO1S3p1SCiE0eqMBw8l4YRs1shRKTome30dlMPIDKm4ZMkGSZJiaSRpOHchSg8jP7ZbjMGM0GFMaRfQGQ0S1RjxR6KZgNJ5Q8lw67TGOY6KZ0OkOqVaPjiQ6BRvLzmgtBEBqmjxgFzvDZOKz192jVCpRmK42eo6JY+buaLvbK97PNavW+hqXrlLJWZuaHq3J/DAMba32peTlOodZN252D5g9p+zZa+2QHUvH36D7WKe1UKycgJyj5Fl01+hXAEYbjsEx9aXHIQSYpoFpGBi6hm7HhGFIa6dPEAS4jk65WsJ0HBzdZAMH2KhfKTsm/bsgX8uujYDNoZOuRXdDp+fwosYMF85UNxzfg4PZ78BjwrIZm66TpmlzrSfkFsZ7e3v8k3/yT/hrf+2v4bouTz75JL7v0+l0qNVqX/hY/uE//If85b/8l/nlX/5lfv7nf56//bf/Nn/qT/0prl27xtbW1pHn/97v/R5//s//eV5//XVs2+Zv/s2/yS/+4i/yzjvvcO7cuS98HOvwtSQsDzMWU9m///3vzxNYF/F1ISyrRsJ83+fNN9/Esixee+21u06ffVBwUiNhSik+/vhjPv744y9FXL9YgC1DkAT8xru/wY3ejblT1zLMxrtmIvM0Sw8U+JZhsVXYwpQm/bCP7usEk4DRaESv28MwDRzbwbZtzpTO0PLbzETxi8L7GU55p0lVgomFKU2G8fAIYaw5dfprhPFKQTSK+bjzCfV6nUAGBJO8SNGkxNJtSmYp1/ioDEu3SFVKkiaEaUSSxbi6m4c6riBN+8n2yx5r0vY7GJqJY7qYmjG1RNaJ4phx6JOmKf0033bdrdMZTvNpFBRSQVGZ9CcdfCP/IT1dOEOSpPjxhKJVwI8jdCEhkZjSRkUaKtVQWYJQJq0PrvHEu9fYbg9AwRmvwN7zLxGcOZtfBwxKZZ0gDpmMYopFh27nYJejXHYY9X38Q4VkpV6g3Tv43NFoRJoFFIplHMehVLDRgU5nxFhBqbrcXENq0F+j81hHCtYl1OeBjmvyUwr2SjthIQSObTIMZnqJg9oXhcLQp/cFkZe3h79rrmMdcJY7jIJrrReHK0UQZxTXfIc3aTFcS8ff0PlINoy1FTyLkR+iaRLXdXDdWfclYjgICXYHuHqGsGwqlSK64xAocYBQmLrcOKZlrhD7L8JfGNNaFhx5HNG+foyRrmV6HcfUOd94ePQry0xWHmM57tbW2HEcnnzySX7rt36LIAj4yU9+wn/z3/w3fPTRR2xtbfHDH/6QP/Nn/gx/+k//ab73ve/d1Xvwt/7W3+I//o//Y/6j/+g/AuCXf/mX+a3f+i3++//+v+ev/JW/cuT5v/7rv37g37/6q7/Kb/7mb/KTn/yEv/AX/sKx93s3eExYHiL4vs/ly5eRUq7VHnxdCMuygr7VanHlyhXOnj3LCy+88FDfNE+CsKRpyttvv0232+Xnf/7nN4Y13i3uRlwP0J60+dGbP+LOaKrZEOSjWrpNlEQMogFKKRpuY+rMtbqo0YXOJJnQivLivegUOVM+g0AwDIZ0hh2CIED4gqutt6ejY/ZSK8mm22RnvMOiy5cmNDyrgKWZKPKxsp3RzsqgO4EkGcbsjHZoNptzfc0MaZZhT8Mglzl9AVTtGpOp9a5nFpBCIoVAColAYGk2YRJSc6vkNWw2fw9cw6M97pBlGWEWEE47OmW7jB8OiQ+Njm15TfYGHUpOEUMJwhsf4/R8toMhSEm50sQ6f4Ht7h6GprNVaNIeDGh6dZI4w5AWaQia0hiOAgqmx52Pb7F1+RJ3ehGZV6CqCVq9CfHly2CYlJ95GomkPxzOP9uWaTFk3xWs2SigYKm2ZNE2VinFYDBgPB5z8cWn0XUT0pReezR/juMYDIbLOyGVircyeLFYdBiuGbtaV/CXizbt3moiJDYUrlGy/50/3H1BQZJm83+r/D+mGpmpA+barecdmHXH7zkGu8n6rfjRehLg2OZ6wqJYe30BbENjdOhveffFxDRNSqUiuoTByGdnp08Y7iCloF4vUSwXEYaFY5u0N3Q14mT9PdY2tENjZ0cJy3FIz6bRtaP7yfHc6cpDNRUy+14/zL+9XxbuJYfFtm1+6Zd+iQ8//JAzZ87wd/7O3+F3fud3+PGPf8zf+lt/C13X+cVf/EV+6Zd+iX//3//3124riiLeeOMN/tP/9D+d/01KyZ/8k3+Sn/70p8c6Ht/3ieP4nro8m/C1JCwP05d/hlkhfubMGV588cW1N4O7cc96mLF4notjct/4xjd44oknvuKju3fcK2EJw5A333wTyA0ZZg49J4W7Fdd/0vuEX7n0K4yihTJEwTAczoXyhjTyoMcswjVcxtFy96ayVWaSTubFPUCYhITJfhHUrDQpGSXiLKE36tEetun2emRphj0fHXM4XTy1VEeSqpRB2J8L47dH20ghKRoFjGmYY5wlTGKfJE3mTmDNreaBcbT58XjNaTL98mKw4eTdkWX2ydrU1ezOYPvIYzNdys7waMZK3anTHffnGiEhoGB4FK0yQRyiazr9yQB9Z4/K7oC2rdNoniONIsTegHZ4ja2XvkWWSpI4peHViaMMLTNQqYROn9FOD8cpclsFbHVbDHsBWblKzRCIRBIWDES/j7h5E+cbL7B9Z79LZtsW7Xb+HjuOgWlIdvd6ON7RrohXsA5krHS7XaIo4vlnz6Mj6bWGkGWI7W0YDcFxKXznBSbx8sJYrLmH2pa+sqAueBajtRqR9d+DdZ0bTZP0V4yaCSHQdMlokqBpWk5YVTbtKKjcBCDLGIwnZAsk5jBmhGcVbFNfewqmrjHe4Lq1aZS16FoMJ+sJy6ZME9c28IN4PvOvlCKKInw/pNPZJklitmpFLM/FLRaIEISHyIlAbNav2CbBgm3yslNLNtyndW1zp6dgGwRLRgkfRv0K8Fh0fwykaXrPEyC+71MoFDh37hx/8S/+Rf7iX/yLJEnCH/3RH/HjH/+Yf/bP/tlGwtJqtUjT9IjO99SpU7z//vvHOo7/5D/5Tzh79ix/8k/+yS98LpvwtSQsDxOUUty4cYOPPvro2IX416XDkv9oK5Ik4b333qPVavGDH/yASqXyVR/aieBeRPcPmrj+j2//Mf/gnX+wsrMAoGu5Be/no8/nf7N0i6KZ649G0YggCWg4DTpB54j17yIcw0EowfZ4WuBr0Kg1KJgeKoHBeEBv1GM0HPF2u4Uzcx0zzQO12owozJzAck3NwbBKU5l0drs4ts2L515Ek9o0QT5ikgQkaZJbH4+XBzqioOmtDny0dBtTmHT93pHHZrqUzhJL4y23ySQKqbkVEIIkSwjiAF1Y3O7tEx9TSaqDBOUW0HXFMJpgKxuzVMH2B6hhSGbZWMIimMToykRLIPxXPyW+cYdiGHEntTh1uoFSBiGSppmP5rTi3BlLahrnVMDNBbICeScjmIxp1D36/TGTSUq1WqS7pEPheDbjaEyWZbTbbRxL46kz57BMk1bPB3+M/Ff/CtHp5JxQQHztKrz2b8Eh224hWTu2tc7y13HM1YRFqbVi9GLBZDhZve1ywZ6HTS593LPmXaG8ozILrczHxQqOwXASzf+dP2/BNlmIjfksmxLfC665sjM1O5hNeSS2pbHmNHNNyIYOzIywzF8jxDyQslSCJE2RKmF3r0/42R5SCKqVApVaCdNxGUUJBcekv2E/2ZEFhoMdFsFmMX3pGE5lq+jZxbMPj34FmNceD+PC8JeNk0q6P+wSpus6r7/+Oq+//vo9bfu4+Bt/42/wG7/xG/ze7/3efQ2wfExYHmAkScLbb79Nr9e7q6yM49r9PuyYdZn++I//GOC+WPR+lfiiHZaZjfNzzz3HM88885WL63/ro9/ip5//lJpdI0xDBuHgyFiVYzhIIekGBwvaxa6JEIIzhTPEWZwnz8dDouRooVC2yrltcHqwIkqyeK5bcTyXc8VzJGkCMfj+mH5nQJB1sB0L23aoeHmuy+FjWsSiE5hRNGkfch/TpUbNrePHE6p2FU1qCKbJ7CojVRm25tAP+pjT4MpFUlc0i8RpwnChK6UJiSYNbM3E1G3SLKHh1ZFCkqmMNMswpcnOcG/awcpfZ+kWprDmxMczHYpWCb/XYzcYgG3j4FLRPbqRz0Rl1BOT1nBAxSgRJimmsJGZxviNS2Qf3MArFuhaFZoqJb2zTTuxOaUl7CUpTpqPxFlCYcuQoXPw/qUbOoN+QKPh0Wot6HXE0c6HEDAch6RpwnjUo+IYaLrLcBCiN/MVSvnGm4hWGxwbNA2XhGFvhPzDPyD7hV88kCxfLrv0VhSQjmMyWlPEhmsE9aWizWA8/UyKfGVd1ySaFEgpKLo2UsY52ZhS41mwpCJPPfdsg0wpkjQjTdUBR69V9r6z7XmOzThM862qWadj3za5UrDpT6Kl2pfpITP047Xf6U1SjIJrbRTcb+ryFD1rrQsbbLZ29myLMNap12wUijCMCMKAGzfukCYplmVinq1Rdl1Sqa0kof4hXUl+TfcvQsk1Nor2NzqVAeMl+y/YBqcrD3bA8WEcdxHrMU6GsIxGo7ko/4ui0WigaRo7Owet7nd2djZqXv/r//q/5m/8jb/B7/7u7/Ltb3/7no5jE76WhOVh+CKNx2MuXbqEaZp3Pc7zdemwDIf5SrfjOHzrW9965FrQd+sStiiuvx82zncrro/TmL//9t/n0naeEzQgL0oNaVC0imhCYxSPMDVzKcFYhJSSmlXb175M4RounuGRqYxRNKJgFej6PbIVoniY2gEnAZNoKkyWIAuSilchiRNkIsgmis6ggzAFylBYtnXE/96KLT7euUGlUsF1jxYVuT2yQXvanRkfmggxpImru9zx7xx5rZgm14/CEWmWokuNbCrUT1VGwbDxwwmD4OCUvy41SmaZncHBbk3B9MgS0HSNZqGBH03QhUZ72CdOQ2zbo55odKTgTjSgbrhEQ5/xeETtdg92fJzqKeKSwcQP0T/5DM1xiDWPopB04gzDqrKVDdgxbE71+uzoZYqGIvHHaKZDq3mwO9yolRgOJwfIiuOadJeEOFZrBfqjCdGoRzrJ0Cu5jadpavT6PoxHiJ0dME2Y3gcKhsQXNqLXR7RbqEZz/9obq3/6Cp61Um9gGBqDUYBl6jiGjqYJtKmbV5pm2IZOImKiOCaJUxIFSbeTt0CqNWQtW5n7AhB7Fv6h1XopBLqpYxoaRDF110Jq+XcvA1KV53WEcUqSZdPv5P442Fy4j8IwNJS/qH05+D0uuhat/mHlyEH4wXothmPp6wmLEPukbgU2akLU+tE6yDtBs/BNgcC2LGzLolwqk6QJQRDS6w5p39hGSkmx6NFolLE9l3GcEiVZHn655LOweNszjqFf2eRU5pjL9SvPn3m49Cvw2NL4bnBSHZannnrqnrZhmibf+973+MlPfsKf/bN/Fsjfx5/85Cf8pb/0l1a+7r/8L/9L/tpf+2v8zu/8Dt///vfv6RiOg68lYXnQsbe3x5UrVzh37twXEo7POizL3EweFXz++ee8++67ALzwwguPHFmBu+uwfBni+rvRq/TDPr9y6Ve42b955LHFHJS6WyeYBjAqFINgcMQ1zNRMHN2hNTnqjOXHPv7UEWnL3WIUjak5telj4/ljM9SdOr2gt9TlSwgwTJ16uU4v6EMkCIKAcBIwGQQULBfPK2BaJnGQcKN9g3qjjmUeXUwoWoW8MxIOjzwG4OoeIOgHy62R606d9rizlLA23Dqdce/ISJypW9jCpjPuATl58SwPR3cJo4hBMsCfzuLX3Tq90YCCVcCwC3BasvPhBxRjk4pdZNgaULy9jZykRDtDzMxAyRukZ5/GPP8cKklBWmhCshsnbAmDzBXsjcB44SKdm23qwy6DMCMuljG++QoUpqMtWcbWVoFud0R4aFXZ8xwmk0MkTJeoLOHzTz/DdVwq1eq8O1Gueux1xhBGeRK9uW904KPl7YAsyx+fQ60dB1sUYbuWgWPpaAjSJMUwNfbaI8IgZtn6f7nk4E+7M+LONvKP/ijX0wC66zD8+Z+HJ84v3a/jGEfICuSZKVEYI4G9NV0HKQR+lFA0NQzLQGoShCBVikmUEEQpqcrd6rK8/TK1MFZz8mIa+ZjtKntd29SPdBwOY5P2pOSaG7snmzQhMwexLwpd0ymVDFBw2ikRRSFBEHLjkztTXYFBo16muFXFtE0GQTS3e1bq4KLnJtH+cZzKPMs8oMeb4eJDZGc8w2PCcnycRMCm7/tLF8zuFn/5L/9l/sP/8D/k+9//Pj/84Q/523/7bzMej+euYX/hL/wFzp07x1//638dgL/5N/8mf/Wv/lX+wT/4Bzz99NNsb+djxoVCgULh/rjaPSYsDxAWV8hffvllzp49+4W2M/sCzFJUHyVkWca1a9e4ffs23/3ud3njjTdONKvkQcJxCUsQBFy6dAkhxAMhrv9s8Bk/uvSjI7bBh9F0m3Ox+zierqrPXMM0myRLiNOYlHRl5gmAlBo1q8ruOBed+/H+Cr2lW3hGAU1qaEJj199d233Jjym3PzYMHcMoUCwWcuetIKTtt5FdjUEywLEdLGFRtsqYuglKkaoUTegMoiFhsrwoLltlJlFAlC5fId5kW7w3bh0YeBdCULAKuJpLphQNzWSSBPiRjy4MdvutA+TmtHeKTIFtWPQnfRpeg6hUofT8C6Q7eySTFBEE6JOMXqWGoReQQicaBJif3CIoNkktB7s/oSVMSlISZ9Ad+WAYlJ65AD/3A1o3b6EyReXMGXqdCHwf86MPqOzdRGYQV8/DhQswJddSCAaDg9esXvfodbq8884tyqXKkVnt+XhWsQiWmRMTR8OTipHSIIrA0FHVyvw1pbK7NHjRMnWKtoEUULEMRqMAP4hZpLz1emFlQW7oGv3ZmNmgj/wX/xyiGAwdEJRHXdq//y8Rv/ALqEbjyOs911qrnSl4FsEap6liwaI/DAjDGJZkpFiWDqGk4VpIXSNVCj+M8cN43nEJ43h+z8mm3ZrF73vBMdYeg2BzqKW1xhIa8s/zcEMHxjE1RqudmwEO6FuWoeRa9IYBUghsy8a2bCiXSZKEIAxodYaM+j3GocLzHJrNCo7n0NJgNhImxXHCIE3aGzJrVjkPXnjIBPfwmLDcDU4ir2Y8Hp8IQfhzf+7Psbe3x1/9q3+V7e1tfu7nfo4f//jH80mNmzdvHjjW//a//W+Jooh/79/79w5s5z/7z/4z/vP//D+/5+NZhkermj0mHsSuw2LQ4b2ukD+qhCWKIq5cuUIYhrz66qt4nvdIO6IdR3Tf7/d58803qdfrfPOb3zzxH4q7Fddf2bnC33/775OpjLpbzwWp0fCAe5eUkqpVXerMNXcNY0jVqRJmIY7uUHSLRFlue7x4TebdF395gR8mIXEaU3NqbI93EUJSskqYmgkIgngyJ0t1tzEX1x+GlJKCWyDzFWM5plFvEEYhO90dPt/9DNM0sR2Hc9VzdOMeCoUudSzNwtAMdKkBAlOaJGmKbpmgMjJyIX+uY1B4RoFxOKJkFefFokQihcTSLOI0oek1phqHmCiLsaTFOPAZpgdHqZpug71hF1A4hk3BKqChs93bY8Z4ThdPE8Uxg8mQerWBXmjSG/apfijwzRGW4WEojSSRxJZD1vHxd3fxnn2B1s8uYQ0HCNOjG0wQYYjzzFOocplWtw/F/B6mMh3CIdWf/SuSXpu2YVFINcQnnyDbbbJ/40+A61GtF+eOYaWSAyrlxiefI2VCtVrDsZ0D5+d6JoNZIWgYZC+8gLzyFvg+ri0YpxpkiuziRXD3iY5p6eCH2KaOZxuQKfxxyKQ/oWDo7LaX598IYDBaXYyXivY8I0Z++FFOVixrLneQug1hgvjgg6WEZW36PLCipp1jXTYMgOdYdPpHq3xTl7iejWlpJFlKMhnhONbS0MoNzRMKrrmxgF8Xqgl5B2aVU9oM6YZUecfU15I/AGOFHkjXdQp6gYJXwNAl+sgnCAM+uXGHLJuOxDpDKo0qtm2xuzEMcjOWdWDKrsVW+eHSr8DJjDl9XXBSI2En1dH4S3/pL60cAfu93/u9A/++cePGiezzbvDoVLMPMUajEZcuXcK27RMJOpwVlo9SIT8cDnnzzTcpFou8+uqrcyL2KBsMbOqwzMT1zz//PE8//fRXKq4H+Kef/FP+8Yf/eF7ktP32/DHP9HANF5UpYhXTnrRXbQbIOwmtSQulFHEaz/UvuYVvBUPm4xyTJFg5VgW5TsQz3TmhUSo7EshoaTYlqwQKGm6DMAkZx/6BToypTHZ2dlA6NJvNfCbetimXyqRpwmQS4CiH9268h6Zpc8vk2NoXMDfdLW4PtllWeRqahas5S22Ltaku5fPRUa1L3a3THfUPdFCEyC2S4ySlWagziSf44QRPh+3hLkII6l49Jy/dPXTN4EzpNDudDjWvjGdXkdln6KlBmEnSTDCJE7JEQyFoGDa3a00KP/dtyjducqfjg66jX7yA/e3v0OruX99KoUCv5bM12Kbb65IWy9R0SWeig6EQgwHi05uob3yDJMkwTZ1S0aLV6tPr9Zn4Pk8+dZ54yWJ5oejgL2SuqBdeJNN15AcfMIkn4Dhkzz+PeuEFAKTMXbh0pfCkZNyfEPQPjuGsWumG9UJ9OJSv0p9+Jhf+NEYHkSJ6vaOvFTBcQ4ZgvasZQBStv9/LFWr5JMkY9H1cR+P6J5/huC6Viouna5i2AUIQphmjScRwHMzvScs0bJapryUsUsiN2hPT0GHpwF2O43RxXGf5iNUillkIH9yGgT+Jp99lG1VWxFHMXmuPbnfEzk6HetkmynSazQpeyWOSZEfyZyYb3hfXMpaO2V04U1n7ugcVjzssx8dJEJaZrfHXAY8Jy1eMnZ0drl69yvnz57l48eKJFZ2PkvB+Z2eHt956i6effprnn3/+wDU6qTT4BxGrukdKKa5fv84nn3zCd77zHba2tk50v4thkLBZXJ9kCb/x7m/wh5//4crnjKNxnluSxkRpRMWuYEqTSTphFI72LVinmSdLuy/k3Yhe0MtdwsIRqUopWeU8MT5LGEVjojQvZlzDRQixdjTNMRwk+pL9CTzDw9JssjDl9s5tSoUSpmcd0b8YukmzeYrOpM3ZwlmCICQIJnS7HbJM4dg2Z8pn2e7vLHV5cg0PlKAfHF3Zz529TLr+Uaeypttkb9QGBZZh4ZkuutBQqaA96s5JjC51SmaZcTihWWwwDsdkKXRGXZqlBiKTdAdDGoUaWQKCDK12mt5Hn2GFGYkm0TOdNIlwNckdLMolj6zwDDu1c2T+hEK5gFsusLt9UH8ilUZty6N1+U7+GZIS0uk1EAI0iWi1KBRsTEPDH03Y253Q6XaJ45hnn3uKyWT593t8uDAWAvX8Bexvv0R/NAHDwDB1Sp6FSjL6PZ80jNnuLM/2kVLsd2yWQF/XwVCKwSKZKRbzynpqKOWR5oRFJahi8cjLS0Wb/hrCUvTstTa/ui436kLWjXKFUch4OMznz4tFQDD2I8ZTcqGUouCaiExR9EyUAD9K8cNkwTZZHMP9y9wfm1t1LBuIRNG1NhKWTdA0uVED41o5YZlBINCmAvt6o45SClNT+J0BNz69TZYpLMukWilSr5fB0AmTbGl6/YH9rNAFPSYsjz7ulbAopU60w/Kg42tJWB6EkTClFB999BE3btzgW9/61kbruLvFo0BYFgvzVdfoUR4Jk1ISH1paTtOUq1ev0u/3efXVVykuKX7uBYt6FSHExh+ecTTm/8/en/1Kcqbnvejvi3nOedXIoTk0m80eqW412fKxsL3tI5+GL3x0420c/wv2hQED9oV9axiGAQO2AbW0twUIhrwNaxs6e2v7yLIsS7YsyZbIKrKb81zFqlW1Vs6ZkTHHdy4iM9fKtXKoIleRVWQ9AEFyZWZkZGRkxPt87/s8z79+/V/zevf1rc9r2k3GyXhp2XucRCxcwzRFQxXqKSewk2g7HXqz3jJgcZyMVhZkHd2lYdXJy5xZPkMg1q6cL93CinWuSJIwC8lnOR/c/pBavYbqaBSywNRMbM2q9lfR0IRKmM1wdZe4SLBtgW1blUC3KFEzjevdj8myFF3XsSx7nvmiUzdrzNKYrDhdsPiGR1YUS0tjIQS2Zs3f3ybLCxp2nTCdkWQJsiyxFIdxfCT0tzSLhtkgymKi+fv4WoCKiq5pkFd5KQoKGhrdcEjdbDCqNTA6l9BuHyCkQVaCLHJGzUdoPfk4/VlI3a4zkSmNCx2m0Qx1tlqsNmoeUZQQjROEYSCkxBeSfnLsnColtZqN4ZncvjWqMla6XSRVJ8vznFMifAC/Zm9cqfd8G9sxKdKC4TCkd4wIGJYBG/QRtbrDYIuDV7Sl8PR9m8kxwlA++STqu+9CmoCu45AR5gUoCvKrT596vaHrbOsqWJa+lbDUvKNxtHUwDG1jgR7FEf3+gMuX9pBCX/scIQSOpdMdzAhn6bIDa+kqjmeiaipZWTIJk3lo5fr77C73L0XsJhKmocIO/cquYMvAMRjs0JWsG9Fbjsgh0FSFQkoa9QaSKg8sjmN6/RG3bnXRNI1zbR/bdXH9qvsSriGNp3NeKjyI+hV4SFjuFAtjpPtpJOx+x5eSsHzeyLKMV155hdlsdk+KTnjwCUue5/zkJz9hPB5vPUZfppGwOI55+eWXUVX1TEYHT+JuxfX7031+fOXH1eiXgMAMMFWTtKi0Joube8fpcBgdbpzBz8qMKItQFZVpOsXQDHzDRyCIjmlMltvaFMA4h63Z7E9vLUe6NEXD1V0M1URSMktn2Lqz0S2sOhagxRof9E87gS2yYTzDpShLony1yNUUDV3RcXUXUECWtJst8rwgimJmsxnRaIZUSsbWGNt2qDnBMtxPSoGh6CR5iiYKdEUnKRLSIiUtUkzV5uZw1S/fNRzKQjCOJxiaQWD5aEJlOJ2yP6qea+oVeelPh6R5ykX/IuNZSJqlBEad4XSCpwfkeYFp+KjPfw+u71Pe6jLKUhrnH8O6dInDyZSG59PvTmi3A3rDEQ0/oN89qiI7bZ88hWiRZn7xInz4IdY0YjIf59STiIZd0L10Dnk4Js9zet2q0Gs2m6iaynBNgCSAZesrhEVRoBHYyEISjiOmG7oV61y4lt/blmLasc1lt2Ht/pjaCmGh2aT84Q9R/vRPIY4pyMEOKL/7XeS50wsvyQ7b2yzffi0Xa7JrjiNwzSpc8wTCWchwMKTTacEGsrLAcf3KUUdFMhpGSCkJXJNilhL4Joapk0vJNCkollbLkGzp8sCddWB2dXFsSyfaYb2sbdCvHGFDAOgxhzDfrUT7UBEYXdPRPR3f8ynLkjhJKIuSDz64SSllZalc82i3awhdYxRlFGXJdA25anoWLd8+9fcHAWfhfPVlwKI+e0hY7hxfWsIihPhc3KUmkwlXrlzBdV1efPFFdH37TeKT4kHuPMxmM15++eVlBs22wvyLPBJ2XHS/ENe3222ee+65M1/Buluy8kb3Df7lq/+SOJsXF5IVbYimaARWgK3ZVTdly08tMAPiIl7OnKd5Si8/0riYmklgBJiKyTAZbt2vjrvH4dwtbIG8zFdcxjpOh2E8wjd8dFVHSklaJEwXuhUpKMY5t8PbdDoddO30b7Ru1wmT8JQF8+L9HM1hkoSnncIUUDzBY53HudG/wSAesT+6TVEUmJaJZVlcrl+mm/ZOXZ+WwY/h6jGoWQE6BkJT0ITKJAnJ8pxRNCUrMjzTxTU9xtMpt4YHeKZHzahzs39AJ2ghMwWkxFY9BAJFaBSUxFJiPfYEh36dll8HqXI4GKIoCumspN0O6A6GCCFIZvObr6ZQq9ukWc5ocPTZZaeD/o3n6F99BzEb09YyJqbB7SeeofXs19j/eED34ADLsak3mgghaDY8ur3TRbYQMJ6nYQaugamrDPshvdtjXM8i3OAO5brGFtJxYqTr1GtNZunmVft1Y0zysccoLl1C6R7SF1C0O7Dmeq/p6irZOYFdo2oAsx1BjevSHifTCZPxhHa7zfm9xs70+k0amwV5cWyDySxlOkmQ47g6fwV4nollGZSKJEyyrXb7hrbjunYHGS6uZewkLLtyUTzHYDo7/X3LxYwfoG/ZV0VRcGwb29Q4pztkWUYcJ/T7I27dPkTXdWzb4vL5FrqhEilipfvy1AM6DgYPOyx3isW9/dMQlrIsH2pYHuLeYH9/n5/+9KdrtRhnjQe1w9Lr9bh69SoXLlzga1/72s4L34NMzHZhERy5OG/upbj+bpzA/su1/8L/8eb/cSoHZAWi0pvcmNwAqtEkz/CQUq4k1LedNoNosLHTUW1KEOcxh0nVWdFVA0/30BSVtMiYZNUIVNNqnCIrK9sRgpZ15AR2mvwIXNVleDgCAc8+9iylqDooi/1d7HNv1key/vM3rRbjeLySWH/8s7TsNt2wh2lamGYl5s3znDiKsXKL195/HU3XlmJfwzDwDY+ikEySKZ7pYGkWQihoQuNg1KOQR2NTLafFOJwS2D55kSMlDMZjVEWl47coMgijGXtBiyjKsXUTVeqkRY6uGMRxyixJqFs1Dvp9DF2nLGAwqo5Xp94kjjK6g+r/W7U63YMpvmdRkNMfjGl49VOfPfje95lceBxneJuDWYLstCGoMX7vOvl/f5kLoxGqpiEvX6Z89lmKxvquaq3hoKkqhoDxCT2K4xobCYvjWoTxuvE/8ANn68hVtuUaYxjqZrKjaQTPPMlwspkMBJ611r3r6HF76+ttc31+y3EcJ2oSGI9GzGYz2p02hm6s1VYdR5V7sv09krRYXjsW/5ZSEk5TptOUmmcSjyM8z8K2dUpFYZpk5Mccv5Js++JTzTEZ7TAf2LUQqWm7hf+Woa8nLPIoNDLZIaa35k5lAoGhGxi6Ab5PURYkSZX7cmt/n+E0w7RM6jVvrn3R+eoDTFjOwqr3y4DFcfo09/PZbFbpyx4Sloc4K5RlyTvvvMP169fviUh6HR40wiKl5Nq1a7z99ts8++yzXL58efeL+GKPhAkhmEwm9Hq9z0Rcv+viWcqS33zrN/lp96e4ussk3RCKaDggV3UqcR4TH+s2eIZXdVbyuHJX2nCqBmZAkqcrAYxZkTIo+sv/tzQb36gu2G2nTZiFlUvUMWiKjqd7a8MnF9DR+PjmDaQqaTQbDJIjobumalhq1enJypy220KWJbksyIqMpEjJi2w+slbluJyEqmgEekA3XHVIEwhM3eBCcJ7utM9l/zJlVpIlGdk4qYiRBaqhgwrTZMY0mdFxOuxPjiyKBYI9r0ORV6nmvWmful2nzCWB7TMOx+RCoitVLgiFSp7HeLrHYDTB0W1G45BSSmqWT3cwxLUtTNWmP3f+CjyX8XhGFFfFvaIoTMcJ7bZPf1RZTgeuy6B/QnyvCIQqSD2TyD76bWvjIdHv/AFumiIsE4oC8e47OMMeg5//n0E76q66roHtaIhScHh7vTPcbIt2Id6iQdmmEVE1ldGWDofvWfQGmwnHLrthRd1esOy0K3bMrfoaxzaWmSQSyWAwIE1SOp3O0m1x2+sBbMvYSlhUIdaK/o8bdlimgapWQv4wTJbZL4FvY7kGhYTpjk7Rtq7GArvISOCY27tJsPmeMg/VVFVlK8GFzZk1qqLi2A6O7dDwTdTepMp96Y3Yv3WIoRv8v7/ZZDx28H3/vtDc3g0edljuDGeVwQI8JCxfdHxWI2GL7JA4jnnhhRc+sxPrQSrky7Lktdde4/DwkO9973s0Gnee7vtF7bDkec6NGzeI45gXX3zxnonrF7+BXRfOKIv41Vd/lTe6byz/ZmgGgVEl1E/SqmtSt+qEWbhWRL6AIhQszeLm5Gb1BwG+4WPpFkVZME7H5EU+T6UfUazpVCzgGR6FLE+5fBmqgWt4aEIFCZnMt7qFmaXJtf3r2K6NH/inkr7LssAyLW5uMgSQsOeeYxgNceZuXYqoCKBAQVc0pKxIX9utHIYWot7qyKtMkxBVUSnKAqFXq7LnO+e5PThgHE2JxxF5nmMYJpfql9gf3MY0TGp2gCIUVKlye3hEyNpuC1kojJIBcZbQcdsMphNimeIbAQfDHuf8Dre6PTpBk/5gimOZOLrDrYMB9cDH0HQO5uSg1QyQmWB8rEvRqTUoinLZbYGKHB4XkPueje9b3Lx5RAAlMJ1MaP3kNfQsQwTB0dK1YRAMukTXriOfeIJGwwEhGQwmRLGCItcX8H5gbSxWbVvfahscbSmU64FNb0sHZFfSxq5xremOEadtRKvC9vvYgrBIKen1exRFQWevg6pUx7ES5G/fh3zHNdb3LYY7SEA678Cox7ovUkom05jJNKbuW6TTmCBwMG2dtJBM42zl0+3Sr7i2sVNwr26wdz6C3HgeyUrEQuCaWw0aqufugmQaZRiGgWEYBD4UZYFrCFQyrl69WnWFWy1arRbNZvOejZCfJR4SljvDWWWw6Lp+5mHR9yu+tITls8B4PObll1+mVqvx4osvfqYhjg9KhyWOY65evUpZlvzwhz/Esqy7ev0XUcOyENcXRYHv+/fUCexOWtLdWZcfX/kxt6arGSFpntLN5wWygAvuBQoKBIKRHK39XtYGPUqYpJNlx0YIwQXvIlmRUTMDJumUbE0qfN1qEKbTtTqStEhJoz41q06URaRFWpEY3UFV5rqVPCHMZ2iZxge3Kicw91jA4AK6quPoDt1Z79RjAKpQqVl1DqYHy/c+Dt/wmaXRkd7nGCzNQhMa0zXanIVtsa4b1HSDWlCjzAt8JWA0HjOdTenRo2/2udi4xDSboQhBy21gKCY3+1X3pWbXELngZv+AllcnmuWMwykXa+e53evTqTWYjGPqXpXifvtwSLtRYxpFhOPqs3TadYq8pD84IiueazGdzQiPrTS7tk1/PqalKIJWx6c3GMHk6ByTUjIcDcnSlHIQITTtiKxULyQuBJ1kSOhrDIbHcl1q7oq4f+VY2iaTNWM8UDmHRb3142C2rW8v2LcUuFWY5Obui21v082A55hbuwqGoW3VtyDlTjvjUlZFZK9Xnb+ddmeloAxck+4WQibYnRGj73D/0nWV8Wz1OB3vvkgpMYyK6I5HM+S8gaapglrNRTd14izfaWdsG9pOwhLtEv475mbCMh8J03aSHjaOJm57H1VR+e7XLvONbzxHWZaMx2N6vR4fffQRr7/+OkEQLAmM53n3ZfelLMsvVGD1vcJZERbHce7L8+Be4OFZdY9w48YNXn/9dZ544gmeeOKJz/yEehAIy/GU9ueee+4T/XgfpE7SnWA4HHLlyhU6nQ6NRoNr166d6faPd1buhKy8N3iPX7n6K4Tp+uyKBTp2h/3wqPuwDHhUdeI8ZppMcQ2XQhYrAviTWOhM9hfdlzlc3cPWK9ecWRriGC696MjaeB3adpt+fJRHsnDZWmDhBHZruM+Tl57Ac/zKnrTIlyNsjm4DysZwSkM1sRSL/qy/9vG61WCahOTF6SLJNz3SvMqOOXkM2nab3nSAb3qYmolgvspdKgxmQzRfJ3BrZGmOlml8fPNjTMWgUEuswuJ2PqDu1rA0k9ksIS8LztU6jCcRrmGjCJXxdIZjWaRxiWvbjKYT9NKk1QjoDoc0nQZjIhoNj95ogMkRmWu1Kmvkg4PV42LpFqGcENQcCnIOewNqgceoF82PuaTXq1b5n3nqScavvosYHTNrEJI9I6c3g1EhkCfJgNx8vm7TcZxy2Yqj6gSwbTzfItqQzQJVB2AT/MBaGgCsg+sYW8etbMfYSlh819xqV+x7NpMdmo7hOOSwe4iqqrSardO/+R3XgMCzdmen7CABwY7PIYQgzQrUOZE6Cq6VDPpTJFD3LdQ0px44oCpMk5z0xPda7mhr6LrCdIfexzK0LWNl1UjYLtG+bVb6lU/yPk9fbgLVYly9Xqder/Pkk08SxzH9fn9JYFRVXem+3C8koSiKM3ew/CLiLAjLdDrFdU8vsn1RcX+c4Z8D7hWBKMuSt956i5s3b/Kd73yHTqdzT95nF+53wrIgdJ9WSP5FGgm7efMmr732Gk8//TSPPfYYBwcHZza2+EnE9f/j5v/gN9/6TRzNwVTMalTrxHiWpmgEZnBqJGsR8LhAy24B1felisq++CQ0RcPTfbprQiPDbEqYVa/puHuM4iENq46maKRFxjSdkh/rtOw5exzMumwczJCCcpJzY3qbVrtFJGOiE4Vfw2qQlRmaouHobYRQkLLyzq9MAgSylEyT9Sv3badDL+yv/Q6bVoM4T9GFhm3bqIpSjZAhoFSYxBNKSibxlAnTyiEMk8kxJzbXcGnUGkyiKYqtkaUpAQ7dfp88y5gOJniWT7PWRCKJZhm2YVGWEiEVojSm7bZJ0oTuaEDHa5NmGd3hkFbQIJnl6EYVKtmpNTk8GKOpCvWGyzgMKaLV88e2TEajGZ1zPof9UUUIAHV+mynmGStCCDqdDnkqkY8+iji4jZ7G1AOVYSnJwohEM5CXLq2eH7rGcINWZNs4mGFoR+NKwyHK1SuI2weARDaaZH/+BVhjEgDg+9vF+LtS2csdFXS+0654+2/UsjQmW9YSLEPlg+s3sUyTeqN+atQRIIx25J7s0NBUoZXbCY2yoyOhaerKcT7ZfZFUx3o0iYkPj34DnmvheBaFgPEsZbLjs/j2bv1KvmUBTEqJpoqdOhnXMnYSlk3vsyAsJ2FZFhcvXuTixYuUZcloNKLX6/HBBx/w2muvUavVlgTGdd3PbdX94UjYneGsOixfFv0KfIkJy71AkiRcvXqVPM958cUXcRznc9uX+5WwlGXJ22+/zccff3wmhO6LMBImpeSdd97h2rVrK8fkrD7b3YrrpZT81ru/xe+8/zsAy1GtZddEqbomWZmhqzr9aH13YYG20553Q46KN0Mz8HUfRSjM8nkRKmEYn050X2AxerVwAlt9X4Gju7i6g66azNIQTWjk8vTqtiIVpv0pYR6uzPKv7nOLfjTY6IRWt+a2xnOtTjWbr6IqGopQqBk1JskEW7cRVCF0EklRFtTNOt3wtG2xoRpYqs04WjUz8AyXIpdMs5DA8rE0k7wsSJKMm4NqTE9I+Er7cabxjFyRmKqBkmp0hz3e6b1HzayRI2l4dTzL53Da51zQZjiZkKQp5+pthsOQJEsxNB0NjWE2pShKTMNg0A/xXBuplHSHIzpBk8PpeGU/677PiJDD3nD5N9syGfSn5HlOt9tFN3SajSY132U8SDCeeZJ6PmD01tscjgsUKRkqNuU3vwnN1cKtFjj0DtZX59vGwYKaQ7c/hWiG+vu/D+EUNB2EwDi8xfT/9x/hL/5FWKOdOynGV4VA1RRUIVCUSo9R86yqSXHsJ1X91CSlLHEdg7KU5EVJWUiK5e9QMN4xarV1HAzItrhqpVnGbNrDsW2CWm2t0saxdWY7CuuTXYyTCNztLmfAUvS/eRvmxm1UOjAoSrkshBcLMGEYM52TpcA10TQF3TOJ85LpmvfcRZyE2C3ady19p0BlXVDtnbzPuaZL4O7WIyiKQqPRoNFo8NRTTxFFEb1ej36/zwcffICu60vy0mg0PtPuy0PCcmc4C8Iym80+V3L6WeMhYTkjLEZ5ms0mzz333OfenlVVlTTd4c3/GSPLKiHhQkh+Fq1MVVVPpcE/SFgEZE4mk1OmDGdBWO5WXJ8WKb/2k1/jlduvnHrseNckMAM0oWEqJqZjMk2nKy5gULlWtd322qDH41krNbNGXuSYmoXjOCRFwiSZrNz0TdXC1Az60XodCUiyIiNT8qVtMVQhkrZmoyoqUpbM4oibt25SapJ2p7N2xXnP7XAQbu7OtOw2g9kqmZFSksucUpY0rRa3JrfXvrbjdjicnHYqcwwHCrFCVoSoRsoMYZApBXlZMI4nlIYkzwriLMHQTOq2T5HDjX71nnW7RpkLxuWETrvD5bbNfu8AC439/S5x8jGXOud5//rHWKbJpc55Dg4rzZEQgqZf59bhERn0kxLl/XcZ3LpFblnYjz1GLzsS/2qqQqsdcHAwoDghivZsh1GvR7fbxXEcavU6ArBNE/O8Tn804eC5b8LFy4jDQxquTddpw5pVwyLdXASGW8Z8Fvsk3v8AwhAse6lLqZnQixLcd99G/59+HnVOQqrfTYlIM1wBWVaQpQWFlEtDO9PSub1lzKledxh2T3ffFEWg6So1zyHJC1RVR9XmHQUhKGQlLldVhcEWO2NFiI3jakmS0Ov1uHSpg2TzeI5jm1sJi6Kwk1SpO1zODF3bquO5k21oqsJ4mqy1TZbzf5uGxuExdzrb1vEDB6koTOKMLC93EiffMbbmvFSjtLuLw3VhkHfyPpu6K7tg2zaXL1/m8uXLFEXBcDik1+vx7rvvEscx9Xp9SWDutebhIWG5M5xFwObDkbCHuGtcv36dN998cznKcz+w3futwzKdTnn55ZeXgZlnRege5JGwKIp4+eWX0XWdF1544dTc76clLHc7AjaKR/zSlV/i4/HHW5/XslsMkyFFWTDNjgoE13BxNIdSlkzTSrOyK5W+5bQYzIaUslhJtNcUrQp2VHQkMMtnK8GUJ+FoDkIop7JVojxaJtGbpcn1/Y+xPYuLzfNYuoUqVCqyk5PmCa7pcbBln/ecPQ6m6x9fWieHp0mVIgRNu7mWrARmlS6vKTotz0ZBkBYZmmIwnAwpjhGjmlUjihM808ExHKZJSJoWDMMxNdvHNmz6owl5nnOu1iacpoySKY+dv8x4FGFf8HBMi/39HkkUUyYp718/RNu/RW0yoWnb3Gyeh0cfA02jnqaov/+f6E5CUBSUsiS4ts/B08/BU09RrzskRUZRyFNkRVUV9m/2OeweEgQBvuej6Qqtlku/N1rVlTQayEaDwg9gjZ7ENA2GG8jBtnEwVVUYzYt+bdjHlwmGUKCUFBLUUiKSgvj6LcLD1fPLsnTiLcW859kkg/XjgFCNOa1DWUrSJAck4y2Ep93yEVGKZRmYlo6mqwhVoZSSNC8xdHWte1kURfT7A5rNBopiUmwZS9s1chp4FsPxjtDKXcW5a9Abbu/i7CQSnsVgzWdddF+Ykz1VqY4PUhJHGVE0YvFws+GiaQLVNpjE6dr1CFPXgO2EJStKtnl12Za2M7hy0/t8UsJyHMe1LVCtwvd6PXq9Hu+//z6GYax0X846lf5h0v2d4axsjR8Sli8BzoJUlGXJ66+/zu3bt3n++eeXF4j7AfcTYTk4OODVV1/lscceO/PAzAdVdD8YDLhy5Qp7e3t8/etfX3vh+jTW23frBHZtdI1fvvrLzLIZTaeJgrK2a9JxO5VeZc1uhWlImIZYmoWhGWRlRsftkBc5k3RySv+y5+xxsCHoMS9zBvGAht1kklSvPS68T4pKyC+R1Mw6sywiKzevRhuZwQe3j5zAZtmMWXZUAGlqpZ85DLuYqompmWiKhirU5fegC4Moj/DNgLIsKGRBUZaUFJjCRFFURtEIRQgUoQBVAaUpOr7hk+QJbbcJQiAQlFJiKDr96ZAkT4Gj/e84bQ7HAxYHWhEKLaeJKBVmMqYfDtFVHVt1EQjqblC5eI0m+JZDVuREswxVUXFth1mYYpkGcZaQp7DXblOUJdYopvfff5/6ZMxUV7k1DClvHFL2evj/j59D/NnLdMdTZK0OAlwh6PUTjHfeJvjm0xyGE1RVJZ+dLiY1AdcODmg2mvieS7PtMphMKOUaETwVKRkM1o98Bb7D4Wx97o9pnR4HU1SB75m4rkkSZURRSqxojFJR7RgKCtVqeSlzpH16fNfzLOIN+iTYPfaT7LAjjnYU+nlRIEtJNEuI1uho9vYCTCmxbQPd0JBC0B+NGI+GNJtNLpxrbg2cBHZmiexy/zJ0dWt3C3bfa++kA6PtCLYUohqfW2ebvMh7kXnJ7f6wek9Do1ZzQFMr8X5WnY+7bJMNVWEcl2wb9nYtYydhWfc+QsBTZ0BYTsJxHBzH4ZFHHqEoCgaDAb1ej7fffps0TWk0Gkvh/lmMsT8MjrwznJXo/qGG5SF2Io5jrly5gpSSH/7wh9i2/Xnv0gruh86DlJL333+f999/n29+85ucP3/+zN/jQdSwnBTXb7qhf9LPtuiq3ClZuXL7Cv/qJ/9q6aB13PHKNVwc3aEoC1Sh7uyY+KZPWhwFPS7+LYSgZtYwVINc5lVC+5ZUeqhsfbvHnMCOC++h0rSc986TFTm6opMUCWEWnhjVqpzAPux/RKvVxDRP22bbeuWatdDPJEVCUhwVcovOyeGG0MnAqMItZ0k8f09JKYv5a02EFNwanx4Razttbo0OT5HSjtvhcNzD1Ex8y0MiUaXK4fhIwG+oJm2nxSSaMkgmBKaHhoFqSkazMbXDGer16/SGfRreHspXvsKhY9K0myiaQm88pOHWGbx2hQtpxMH5Dh0MbkU5ZRzRunWD7is/QVy/iaLrKHN3JFtq6DWVbNSj+8EH8MgjNL0ahwdH3QlJZeleRDmdToeLF5tMopCDfnV8o01aE9fhcLqelCTR5gJwFqdomkIQmCiKIE1TJpOI0TBBFQH9xVjWY4+jvvMuxAmYJnU1p58AioJ84iuntrutM6EoCuMtYZKmqW21AjYtjekWfYqiCCZbtg9VdkwSZyRxhpQwmYyZTqe0Wi0Cy8TTFfTApgSiLK+6GMc+ku9ttu9dINmhbwlck+6WLhFsH9cDCDyT7mD7+6wLYDwOz7VOjcedFO7rulb9v5Skac7hvKMmqHJkbM8iLyXzp6yFbWmMtxsmLvOVNkJhrT3zhZaPZ99bdy1VVWm327TbbaSUy+7L4eEh77zzDrZtL7sv9Xr9ExGPhyNhd4az1LB8WfCQsHwCLFbHO50OX//61+/L9qemaZ8rYcnznJ/+9KcMh0N+8IMfEATBPXmf+4GY3SmklLz99ttcv36d7373u7Tb7a3Pv1vCcmQFWixfv4us/If3/wP/97v/98ZOTpiGpEWKozsM4+HSqjjJk1MjWlXQ43DuoHV630bJ6CiHJekRmAGmZlGUOZNkSlZWhc027cvJ97txwv5YIPB0D0szAUH/YEBv1mWvs7d2DNE3A9I8ISrWr0Tbmo2CxjAarn28aTcZRxPy8vRn9g2PrChO2RbDPGNlsjo65hg2NaNedZNMhzANScKYjrPHwagPSBzDIbB9JmHIzWFFggLTxxAm3XCAguDCwYzB1ZeIZclF1Wd0a5/w8Bbnvv2zpFaTw9EAUzdIo5z6qM+BaVBTNA5jiaOrOLbP+DDBkRrJ/BxM4xhfCHK1oI9ApVKZK0IwOTYyJIHhYIAmBJe/cplcFnSHR8cu8FzGw/XHehauJzKOYzI+4eykKBDUbWxbJ5wlzPKEfi8+8RxldeSq1aL83s+gXLkCcYSmZKC6lF9/DvnIoyuvVRWF8XhzIR7Uto9K+b5NsiH3BaoRp2SjlTIEgb1xBA5A148IkZQwGg2JZhGddgfd0EnijPFwtpIRo2oqnmehmzoI0M1t9r0L96/tHZhdlsi2qRPtGPfaBU1Tt5I7AEtXWU91KwghmMXZKdvkxXVvPIkRUjKeJui6SlBzUA2NSZKTpEe/bcGujpHcGcJZc0xGa8js04+cfXdlG4QQuK6L67o8+uij5Hm+7L688cYbZFlGs9lcEpg7zUh7SFjuDGdh//xwJOxLgk8yliSl5Nq1a7z99ts888wzPPLII/eFXmUdPs9CfjabceXKFTRN44c//OE99WR/UEbC8jzn1VdfZTqdnhLXb8LdEJa7FdfnZc5vvvWb/LeP/9vWsbMqSb5Y5pActyrWVR3f9FFQ0BSNW+Gtre45nuFRlOVyW+NkDEvSI3B1D9dw0RVtayq9IhSaVouDNfbHEsk0mxKmM2b9GdN8QrPVQtd0LM3CUq1KgE+JisosiynWkA046pxE+frCs+N06G6wLa5bdaZxeGoMTghBx+4Q5wltr4VAkJcZUZZgqTb749Vwzo69x2A6ou03ycuMNMsZTibEWaVjCUyfw9GQcTHDM13MTGX/jf+OIgQXaufZT1OkqdMchYxff5OZ5YCq0nIbHI6GhJoKYUGZKzR1QSgLBnnBnlS4rZsoFy+iffQRnZqLKOB2UiDCkExVmWoqFxSN2TSuzlUp6fd62LbG5UuXGAxPF+SGpgOnC/3AcxgP1hMAz7aZTSaYloZfMykpGE9ChuEY3aptJBb1wKHfW31MPvkUxaVLiP19hrpK0eysFfjX6jb9DRbKUFksb8OntSPfNYoVBBa9QYiUksFgQJqmdPY6S1Kua+qpQMsiLxgd+04adRctyfB8B8PUyJBMo5Qsr645Nddaq5E5jl3dk105NHeyjW0OYgtssyKGSo90nDid7L7AkUV1mhV0u/POMBX5tFyTTMJwFMEao44FPMdguqGDuICx4bs9C/3Kp4GmaXQ6HTqdztyBLaTX63H79m3efvttHMdZkpdarbbxHvNQw3JnOCtb488rOuPzwJeWsNwtiqLgtddeo9vt8r3vfY/GGgvM+wmfVyHf6/W4evUqFy5c4Gtf+9o9X2l5EEbCdonrN0FRlOUq4C4b4rsZAZukE37lyq/wwfADhBBHVsVFvBzhgrl1bxquTZIHyIqMYTSkaTe5Nb2FpVl4hlfd7LJwRf9StxqEyfpU+vmnoJAFUTbjYG6jrKsGnu6hKSqFLJhmIbKUuLpLd8N4FoBWanQPu5TqkRNYWZbM0hkzqsKn43S4PauS4AF0RcdQDQzVQBEKhmpSlAWmalEaEilLSiSyLClliWcETOIxrl7NfCti0XFQsDSLvChpOPWj70eWFGWJisbBCeG9ruo4mks/PLJ01hWdjrtHnMaUlHTDHp7uUmQSUzdxTJsiLzkcDQFB229CrtC99QGtOMMKmuynKQqC85pJ34QkDFHimHOPPMbNg4rsiYsXOd8dUeYph6oKUmJOpvR1B9npoJ3r0I5GxL0+k1zDBLAs0meeQXEcDm71mEwidMPA0AVeTadWa6wVSKuqulGjYuoG6/JMXM9EGJKgrTOezkhOdGfC6eZiV1ljVw2AZeN95zkmWwIflR2FxDb9iRBsHRcDyWjHuFe8oyshRJUB1OtXIZydTmel+An8itBsgiIE40lEUUiG/VVC7nomtmti6iqupW9MbLet3d2TXbztJJFYu687XLkUsdse2rWMjcd0SVwQqKq6pvsSMZ5EWIZGNA6p2zpt3zzVfQGwDH0nYVlnEy0EPHnx/qkphBB4nofneTz22GNkWbbsvrz22msURbHSfTHNIyvmhx2WO8NZaVieeOKJM9qj+x8PCcsdIIoirly5ghCCH/7wh3fcGv088VmL7qWUXL9+nbfeeouvfe1rPPLII5/J+97vI2GL8cFz587x7LPP3tWFfHEj3bZidbfi+v3pPj++8mN6s97y9ce7GaZmLt25+nF/C8GoimrXcOnObYQX6fALOLqDozsYqsEgGm7dVmAGJEW6zHwByIqUQXGkp3E0B12vCMWe0yGXBVF25AIGYBQGH9++geVY1AL/lG2xQNB22qeCLrMyIyszwiykY3fmnY7T1ZYiFBpWk/3x/trPsed0uDU+rc0xNBNLWPRP5MxYuoWKxiga4Zs+lm6RFxmK1Lg5POq2+IaHrTgkesooqjQrSVJQdwOG4RhRKAynVcBjIQS3o5jAsiuHtQySvMDXNIx6jYPucLld7+mnCUcR4fXriPnvKDA9Dp78GvWLHZI85dYPfkD7cEh58wBME3nhAmqjwVc8n8FP3qN5cAulCLntB/TqdWQuSVKBZVmYprn8Bho1n+7B6cEdRREMjxER2zXwAoM4TRCU3D5cn83juRbT0fpCVQjBaMuqvGUZWwnLdEuyu+0YhFvE6oFvbyUkfuBstCOGShC+K71+Mo047B4uQzhPXld2XQcC3z4K0zyBcJoQThNcxyCcpeiGip9H6G+9QTqeMK61KL76VdxGZyfZmO4Q9Xv2ZiKxQLyjQ+O55qlu0knsGoSoMnHi+XNPh1ZKKXFsnf1bMVmaI+Vg2X1xPItUVrqUYsfimaKsD528vBfgWNu8xz5f6LrO3t4ee3t7SCmZTqd0u11u3rzJW2+9heu6S/KS5/lDwnIHOAvCEkXR55r391njS0tY7nSUa9ExOH/+/F0XnJ8nPkvCsnBLOzg4+My7T/fzSNiNGzd4/fXX+epXv8pjjz12168/HpK2Dncrrn+9+zr/8pV/SZJvLiLSPAWjIjaISkRvqRZZmTFOx8tj7eouErl1dGuWzXB1l5vjSmdi6868IyGI82iZdt+0m4yT8anxqeNYOIHN8tGpx3RFr4wBopLbh7e42L6IaqmnPqemqARm7RRZWUJW6fSH4fruzUJ83wtPB2UKoOW0OZiuz1iRhWB8rHul5gWB7mOaAWmekqqVUUGURfh6QG9WFem2blG3awzGEyZZRTID08PWXJJkzOG4T8dpI6VAKILQNMBr0e51OdQUOqrHQRzRiWf0z3eQikVRzrtMzTpFKul//etw/jxiPMazbPp+h9aFzlJ74jeadBUXzh1Lni9LxO//N/Y+eIdulpGpCm1Nh0uXSBsXiOWMwaBPWUosy8SybBxz/Y21EfhMJgmd8x5JnjKezojm41idRp1NSfK2ZTIdre+w1Gouw95mwhJtGUMKAntrh8TzLKIt7mGGqbFNUGGbGpPNL8f3LHr9Lds3FK5du4mmazQbTcSaDsRsx5iVviO93jSPnLvyd99n9Pu/D2VlF6yKt2n82X/H/v/8L9Ta55hECeUag4JqPGr7fuzqwBiGynTHZ7EMjc2G5xV27Udl33yawC1skyXQ7/UpyxLP95ckfNF9EVSOaYqp0fYtxnG2dB5beR/HZLiGXH3e42B3AyEEvu/j+z5f+cpXyLJsaZv8k5/8BCkl7777Lnt7e7RarXs6Ev4g46xyWB66hD0EUko+/PBD3n333c+0Y3BW+KwIS5IkXLlyhbIsefHFFz9zt7T7cSTsbsX1m7AgLCc/3ycR1/+Xa/+F3//o97dasaqKSmAGy44JsnL5mnCUdF+zajiaQ5zHW8mKpmgERrAinI+yGdExK2FdNdhzO6R5hmf4TNdYHwO07Tb9eHPqfFpklOGU672PabWa5FpOnudoioqjO2iKjq4aqEIhyiI8wyPOE/JjHR8Flbpdp7uBrFTie5VhdJowaYpKYNToTk/nrwRGgKpoKIqCb7oUoyHJh++hDybMKBn6HvLiBXAcNFXHVV0m8YyW26y0NaXgcDAgLwtUodD2W4wnM8bz/Tznd4iilHE0RVM0PNtn9o1nObh6hdZgxjSfUdcEB40anW9+j4Nwhm2ZmKZOWUj6o2m1/NxqIVst/NYe2Wi8IpTXldPjWufGA6bvv81IVVHrdTRVhTyjc/1jbrcu03j0USRVWGwcx8g8452330c3DCzLwrYsdNOg1XAxDIVsGnM4PFnISSZbbHm3jYPpWwoB2zGZbnPwMnXYQlh2Wd/uctZK1hSyd4osz4miCYZpUK831nYObEvfSVjSbJfrlll9jjxD+cM/hKKswjaFQoFkEEtm/+7fM/urv4iiKtRrNrqpk5WS8awiMLal7yQKYbS9A+M7Fr01Wqjj2HU8HdvYTeC2aIZKKen1epi6stLNOmmbbOgqB8edxwIbx7VISsk4qnJfNG39gueDRFhOQtd1zp8/z/nz5ymKgj/4gz/AcRw+/vhj3njjDXzfX3ZfgiC4b3W/nzXOKoflIWH5kmPhcDUYDPj+979PvV7/vHfprrGYxb2X86Sj0YgrV67QaDT4xje+8bkI7e63kbA8z3nllVcIw5AXX3zxUzl4rCMsJ8X1x8cX1qGUJb/x5m/wX6/91+oPohq/MlWTtEgZp2OklMs0+EG0fvxmsS1d0bkV3kJKWZESM0ARCkmeLMe5TM3EUEz60elOxAICQd2scWN84+hvQsE3fEytGrlM8hhHc7g922J/XEI5LbkxvU1nr4OuHY1V5GXBOJngGe6p0TGoSJWhmtiaiSYMirKg41aaF4lESpCUCBQUFPIix7RNECw8shCCo9d6bUpZdbyyMsdSTYazMfni/ExixNtv05rmDG2TAoHoHkIcYT77TRpehzhLKGVBL+zTsOuMwxBVVdnz6mR5Tn80ISsybMOiaTe40a2Oja5qNO0mt4c90DXs77+IOpwRD3uEpoF36VEOpzmtRp3RdEwWZswVKdXrNY29Rp0bt1YJm+849AdH7YLAtxEqRH/6DtOiQPP9pfMSmk5cJIj9feSjj85XnXUMXafTaHDLHBLHEUIUpPmY0SxhEtkYioVhGIgT16m67zEcrCcsvmsz2TAOBjAebSY6nmdtHWVKtljoqqpyyrHsOAxD2zqepOkK463ZKJLphnGwNE3p9npcutjGcoyNY06ua279fKqq7tDYHI1Qif19SNKKrCz7CgJfZkyGYxgOKet1hscczxRVoR7YmIpC4FbWyeu6xI6t7wydvJNRrl3jc84dELhN33lZlnR7PWxDww3qc63aYt9WR8dcx6wS7hfal3HEeDzvvhgaQc1BFxJDU0jzo2u6ooj7Sr/yabD4nh9//HF0XSdN02X35eOPP0YIsaJ90fX7dwzuXuOsbI0fEpYvATYVeScdro6LyR4kLH4I9yrEaZEl8tRTT/H4449/bqsm99NI2Gw24+WXX8Y0TV588cVPfTFe3BAXn+9u9SpRFvG/vfK/8VbvraM/SlbsiDVFo+NWrjDjbPtgRdtpH3VfqJzGjpMSXdVp2+2l6H4T1EX35cRolpQlk3TCJJ0sncC6UY/ACDBVAwmkRcosm5HLHEpBNIyYZhM6ex3UNSLrul0nTNYbB+RljqGYRGnCLFtP1JpWk1EyXNv5cXQHWQqi9DQxazttetPBSqEm+n06k5xu3UWgUFctDLsJhwdMuyP2OfqdNq0GeSZpeHUG4YBZEpEmZaVZCJoUecl+rzp+raCBKjVuD6oOj2taGMLilleCdwlFCDTFph5IeqPqc3aCFoe9qlvUqgdMopDx9HQhrYuqu2IaOn5g0R0OSaKYchzhauoKyagJwUiqcOL3qGkqo+GMc+cDcukwHE+RUqKmKY6ucXO/R1GUmKa57L6omoamzm9P02m1Td9fVrCmaTDZMCpWC1xGG4gOQLZlRd609K2EolZztjpW+b5Fb4tdcS2w6W1xH/M9a21+S5wk9Ho9arUAVbOQW7o868azVvbBt+jvyE5ZdqCKgmogavVaY4uCCRoUp38XZVEyHISE05gsK9B0laDuoOoaszRfuoI5lrGTsMx26Fs2jXIdxy6/Nk1VmKyxTS7Kku7hIaqm8dhjl7YeMyEERclp2+Tqf0jSnEFvQimrhZBa3cGyLeKioFV3MI0vRim2uFct6g/DMLhw4QIXLlygLEvG4zG9Xo9r166tdF/a7Tae532pui+flrAsnNweEpYvKQ4PD3n11Ve5ePEizzzzzAOjV1mH44TlLFcxjo87fec73/ncLfXul5GwwWDAyy+/fObuaIvPd7dkpTvr8uMrP+bW9NbW59WtOgfhwTI7xdbtSp8iJeNkTFZmy07KcbKyDr7hcxgeLot7XdHxTB9NaCRFwjSdYM5thQfx5u6Lpuh4hrd0AhunJ4mUwFVceoc9LMvi0oVL5GVGmM1WLIrbTovebIBk/flRM2vM0pisWL/62nba9ML+2jG6wKgRZzFpfrqgWpexYmoG7dSgUHTqqsO4jBmWEa4wKBFEkyG0G6iKSttpEiUp47jqbDi6gyh1ao7BYDoiSVNmYYpnOQhVQUjBwaCPANr1BhQKh4MjAnYu2KM7HJLl1ffi2Q7d/gjTMHBdk95oSCto0OutCi98pyIXnU6NwXjE4SBiMBhgqwbmo48iBoOqoJ1fa7SsrBLF9/aW27Asg1bL47A3pjsaLv8uhMAyTTzH49w5nTzPieOYaDZjNByi6zrJtZuYr7+JOhxWq9ZBQPmtbyEvXGC2ZRzMMHRgfRGrGxqjLfkqvmeT9DYLUNQddsMnTR5OPb7jumBZxinCMosiBoM+jXqD8+dbOwTmcqugH0DdMJa0wEJsDyDPnau+38VI2Pw9ihJwLWisH2UKfGvZxcmzgv7h0TE1bR3PtzFVBdPQNnY3LFPb2RnZNGJ1HOvIyHH4nsngREeuKAoOu110XafZaOz+XgUrx32dbXLNM+mPoyqraDiD4QwB/OzTe18YZ63FtMO6+5OiKNTrder1Ok8++STJnIQvCIyqqsvOS7PZXJub9UXCWdkaPyQsXxIIIZYrIYtE9ueee46LFy9+3rv2qSGEOPNxqSzLeOWVV4ii6FOPO50VFta/n+cFfzGr+8wzz/Doo4/ufsFdQAhBURR3RVbeHbzLv33j35KXObZmnxqFWmDP2eMgOlhZgoyyiCibP19U4YyGahAX8VZy2HY6c/3H0cayMmNwrANTtxoIqg6LqRpMs5AkXy2uHN1BoGzVx+iFxoc3P8J0TEzXWunymFoVTOnqHlmZ0XSaFGVOWqSkeVp1ZpiHXM5Ga0MuATrO3sbgyqbVZBRNTuW3CAHn3AvEWUzHa82PQc4sjQjMGjfFB4hyhiyrrq0vTNJckhc5DbeB4jZBCg5GA+Rcr+PodtWNGveZRBNsw0bmCnUvoDsZULMDepMxgeMhKSgLSW9OVmzTouZ63DrorXR6NKnTqtsMp2P6oxhFCGZrijrPdsiLgsNBJTbu9Xpoiopl1xCPucj9fcTt26AILGCQKMjOHvLRR6nVbVRDYTAeMwlV0vQ0sfNcuxqZEQJd19F1Hd/3KcsSO4uJ/7+/g4hmZJqOoigo/T7KH/0Rzo9+gUm++bc+3TLuFNRser3NHZBNOqnltreMHwkBo63jXuwMQMxOWN5Ow5DRaESrWQX3WabGeItgP/DsnY5Z4Q5diXOMsGA7lN/6FsqVq8vOmRCSsWpQfu/7VYLnGmzTASVRRhJl6IZKlhZ4voXtmuTAOEyXTlueYxLv0AOl6fb7m+eYO53KtBNFY57nHHa7WKZJvVFds3ZqbTxr45jd4nptmAaqmp6yTX7iUoM8z5f37MW/H0Tc6T0KwDRNLl68yMWLFynLktFoRK/X44MPPuC1116jVqstCYzrul+o7stiEfIhYbk7fKkJC1QXp5/85CeMRiN+9md/llqt9nnv0pnhLIX30+mUl19+Gdd1eeGFF+6b2dPFD/7zICxSSt566y1u3LjB888/T6vVOvPtK4pCkiQ4jnNHN4I/ufEn/JvX/83KCJNruDiaQy5zxvEYiaRpNTnYpg2h6piEWUgvqroFC9G9qZgkRaVZkVLSctp07yCVfhgPTxEES7NxdAdVVN9jmIaE+eaCUs80rt++jl8PcJ3ThDkrMnzD58bkxppXz0fg7D3CdEZgBcv3XbgBIQS60EnylLYzN0sQLHUthjDJ8oyGXQegKAvyMictMjzN49bo9qn37DhtDiddaDTg4AAmE2peC7PQsMYjhrZF3zVoldCfDJFIfMvFMRwm04hbw+rYGqpOzaxxOOoziadYukWRlrSCOt1JH1u3iMNZZd3cqDOcjplM4hWy0qk1SdOc7uioA9MKGhx2j7pYvmfj2Cb7h12Q1Upgt9tF1VSeevyJysFK1ylfeAHx4YeI/X08RaPbukDz+a+TqDAKJxBVoY+bgh1t02LK6eJZURSCj2+Spyl4PlAJn3NFQYkjypevMHnuZ7At69QqrO85TEabC3YpN/9+FGW7FbLnW1tF5L6/3V3MdQ3CLSNQ2jF9jAQm4zHT6ZR2u405d1raVcCbpg5bCItl6cx2EJbixLiZ/M53KP0A5Y3XYTolaNUYPPdt5KVLG7YA+ZqskeOoRt+q/ZxO4iXJVBRBre6gmzq6qrC06FoDVVs/ynUclqntJCzHbZOzLKPb7WI7DrVaDQG4trEz3NLcESQKRzqZ490XVVV45onzKKK6hx2/XyuKsvznQcEnvQ8rikKj0aDRaPDUU08RRRH9fn9JYHRdX5KXRqPxwHdfFt/zpyEsRVEQRdF9sXD8WeHB/tY/JRZFuGVZ9zyR/fPAWRGWg4MDXn31VR599FGefvrp+2qlY5OT1r3GQlw/m8144YUXzvyisega1Wo1rly5Qq1WW6YQO45z6juQUvJ/vvN/8rsf/O6pbYVpSJhWJMDSLGpGjZIS3/BXck+OY53VcCmPUuoBTNWkbtaRSOpWY257fPp86zh7c73K6cojziPiPDrmBCZxdKdy5RIKeVkwy0LiPEGLVT7qXafVamKap7OQNEWrRslmp926qoMEDbPB/mR9hkqlrfE5iNaTrz17j5vT069VVRVfC+iFqzoYIaBptzic9hAIvNZ5rK/ZGO99xGGvz1hIpG0jLz9Gq32ZwXRM06tTFAVhEiEzlVkSoQiFdtAgiQpuDap9UxA07TqH4wHT8QwhwMBENyVSSA5HfTpem8PesHq+otCu1xiNQpJj3Q5N0xiOqnPDMDSCwKE7HFaJ9PKogLMsi1aztarv0HXk00+jPvs1RL2GNhnTjVcL/k2kRAixUbyuqQrDW/1qDExRUKBS96gq5DnFYEoSx4xHI1RNw7YsLMvCMCv3swmrozmmraHrKrqhoGmS9p6DIkAKVla7LdNgdkwgflwnrigC1zXR9Xn3ev77E3MxugQs00BVq652lpWkaU5xTE9i2+ZWwuL7FoPhbD4yVBkUHDeS0HR1p8D8ZIfmJFzHJI43k571oZcC+eSTFE8+We1H20duGZtTFLFT1G9Z+trRtbKUjOYaIMvUMQT4NRsUhUmUrlgF11xrq54IKqK7DZqmMpkTmjTL6B528TwXPwiWQ2C2pe8kLLuO+yadzFcuN7HMo7pjQVoWK/B5fkRyHoTuy1ktHNq2zaVLl7h06RJFUSy7L++99x5RFFGv15cEZt398H7HSa3PJ0EYVr8T3/fPZJ8eBHxpCYuUkqtXr7K3t8fTTz99X18EPik+7UjY8VG5b3zjG1y4cOEM9+5ssPjePkunsOPi+nvRbTquV/nWt75VuQN1uxweHvLee+9hWdaSvNRqNbIy49d+8mu8evDq1u16hkchC27PjroAi6BIgEk6IcmTSoMRHW5Vq1aEQuV2eLQtRajUrDqGYpDLnGkypWbVONzRydlz9jiYHY2TzbIZs2P2x7KUEAqG0YhnH/sahmGSlxlxnizH12y92p9No2QL2+JNGSumZmEoOoPo9OsFgpa9PmPFUA0sxWI4W7U7NjWTltUkkzkNp84knjKJJ2itNn1NpZjOtV+uR8ffQ6Ciqxq96QBV0XBVlzCe0am1GI/7FIdDRmkClkndCzCEwc3+EbHq+C3KArrjijQFQqf74XWwLBrtFnEWI0uxQlYAGm6NXn9Ep1VjOB3THQ7wLIfecLycMffmmQutWp3Dw6NOjG0beF4VDHmre5okKkJUs/prUPc9BhvE5zXfo2/ZcwuCVcF3UOaM/DrtdptSSpI4RpKT5BNyJnSHEYZvousGWVGQphmxTIlTaDoeB/3NxhLtZm1J3tZBlnJrB8Z3TwdCqpqKaWgYpo6pCvYaLiVVFyNOc+IkXxIkTVOrvI9+nyzL6HT2VsaVar5Fb4vwW1U2k8AFdtV1vm8xHm8nG8kOS+TAtxnuIBK7OjCuaxCGFUnoHRPe+4GN5ZpkpURT70RXsr27Ergm/dFsea77QYB/YsRmV1aMIsTu9/HWk6uvPraqAT3eUTmes/WgdF/OIlvkJFRVpdls0mw2efrpp5nNZsvuy/vvv49hGCvdl8/DrfRusTBD+jREa0FYHnZYvgQQQvDCCy88ECf3J8WncdBaWDsPh8P7elRuseL0WXVY+v0+V65cuWfGDOvE9ZZlcfnyZS5fvkxRFPR6PQ4PD3nllVeY5lP+IPwDSqOk6TRJimStQ1fDajBZk3OS5MkyYFEIwTnvHKUsaVpNxumYfI0LUGAGK2RhgVIWjOaEQVN0fMMjzmPaTnVTjrLZyr4JIWhZbQ42BTkClJAMUybZmGarxSgbw7GaW1EUWnarOl5CwdFsSlnOx7RSkiKtdBeqTX+2XujvGR5FWTJZEwaoCpWaUV+bseLoDo7mUMqy0qyIaiQtLVJ0LG6OVw0PWnaTQTihVBWs1h6+5aIJg1uDw6WwXxEqdaOOqijEaUT3Jy9x7qMuB7OQmqajXb6E8vVvcbDs5kj2am2G42llAJDlKG+/jfjoECfPcGyT7iOXcb7+HN3+CVKlG8hSYjk6h6OjY2PpJgfhgMFgQL3RwJ0nKYfzosz3LAxLpT8eEw1n1Jxg7XFt+AG93nrBxTpHtwXKQiIfewzefRdmM7BsEAIzmRHoEu17zyAvOCRZyiwqKUoNKS10TdDvToi6A/I8w5hnvliWjaZpO3+rky1dAV1Xd9gZr+8YFHnBLC9I4pTxMKQsVqtfIcByDCzbRCkKiniMYwqCcxfIstVr2i7BfuDbDLYShd2C/F0hjKoqdm5jVyilELu34dhHhOU4JuOIyfx7qNVsmraBamhM44woWSXjnmPt7EipqiCOY3r9PvVabW3xN9kxUhb4u53K1A3k6unHN2d0nSQvi677/dx9uVeupMfhOA6O4yzvh4PBgF6vx9tvv02apqe6L/cjziqDxTTNL9xk0DZ8aQkLVIFH94PD1L2CqqrLi9rdIIoiXn75ZTRN48UXX7zvrZ0/K8Jy/fp13nzzzXsWJHonTmCqqrK3t8fe3h4fDT/in//3f87t9DbxKCbPc0zTpO7VaQdtFFVhlIxoWk26UXdtFsICmqrh6R63p0cdEyFElXSvWeRFziSdUDfrDKLBRrE6gK1VeptBXBXV02NjZ7pq4OkuhmKiqdpSH7MOSqkwPByRqzntdhshTl/g62ad/qy/cX8czUERKlmZUbNqKIqCirJcataFXmWnSIlneCxX9KVEFSpCVq9tuy0KWcw1KwW6ohGnKd10df8N1cQU5sroHFSOZWma03IbxHnMJJ7ilg63xkdkxTUdPN2jOx5QlCXi+nXOvfEhU0Wj7fl00xmNt9+jP47gm9/Edzx0TWU8DZduZeKN1zn33sdIy6HvmPSTGOWtN7FUh/DS0TnrFxneeMytZB/ZbC0doBzT5sNrNxmNx7RaldAboBXUKfIS03EYjMfLHEnfcRiN13climL9+aaqKoPBeiKjaxrDYYjWaRL8zz+H8Sd/SBkNmSJIXIvut75PWKvBcPX4CgHNWo08FQRBQFEUxHFEHMeMxxMURWE2DVFVHdM0T/22As9mPN5cmAa+Q6+7eQzK9216awjvArWaQ3+N2F9KiMOUMi94+/qtisS3WmTjGFVTcVwTw9JRVGWZpr4uQR2qDs02eK7FdA0JOI5N215gNymCdEuOTbUNi9GOAr/YYc1sGFq1jWNPc10LJ7DIpWQUJlimymR75iTdXjVq1Gg01ha3nmPsDL/cFjq5wDrtkaGrPH6H+SuL4va4ZnORx3U/dV8+ay2pqqq0223a7cpOfzab0ev16Ha7vPvuu9Uo65y81Ov1+2aB+qwcwh7EcbhPgy81Yfmif9GfpMPS7/e5evUq586d49lnn/3cV2zuBGdpLrAOZVny1ltvcfPmzXsmrr/b5Port6/wr37yr0hJqQU1akGNPM+J4ojBdMDt3m00TeNi7SITOaFtt4mLmElyuuhy9Oqid3KcSkpZJd3PX7Pn7JHkCQ27ct4apxOKEx2bwKwR5zFRur6oyYqUWGikIiecVQWeoRq4uoemqJSyIMlT4ijm1sFtdEenEay3Fe04HQ5nq85kp/Yli0mLqjiKTljdtuwWt8ODtc5QtmajSJVwzeeo2TVmcXQq28XSLJRSW3ZqTM3CM11MxWAQjoiyGObHsuk06U/m/+01KMsSDb0KfgQoC9of3wZFI/ZtZkgs22UmTazDLraUdOMpTbtBnM4LqumUzs1bTB2HcLHIoHm0pjN6b70D5y5UCemvv0ry/vscRlVxIet1yu8+jwx8oknIZDKh0+lgzEcdmw0fZMlwdnrt3dSttXkotmVuHK9qBB7d7mpxb1oavmdiWgajcch0FtE/14If/QhxcABliff4o0yyzb+L6Jg+RFVVXNfDdT2klBi6wsHBgHgypSzKeeel+kdV1bmofTNh2Xmn2FFgb7uO5kVBPBotR18Wv/0iL5iMZjCqnLsWYnnTNnBcC91UySVE8+5CFG8vrG3b2EpYNFXZqT3R9O33gyqUcjsZuZPMkV0dGN+zKvOHYwjDmHDeUVE1BT2w6QQ2YZqvzXPJsoSDgy7NZhPbtte+j23pOwnLLpKn69raLs1XLrd2ksxNWNd9OU5gFvf9xb3ks+q+fJ5unUIIXNfFdV0effRR8jxfdl/efPNNsixbjpa1Wq2N3/lngbMgLNPp9Es1DgZfcsLyRcfdFvLXrl3jrbfeuif2vPcS97LDctLK+axbzCdvMLuS6wH+4wf/kf/rnf/rVMdE0zR8z8f3fAQCrdC4NbpF0k8QSjVaFjgB7aCNqqiEaYihGszyGVmxWQxchTg2OQhXtShCKARmgKmalJQoqPSj3tbuy5LQHLNaTouUtDgaSdJSjZuH+5xrn6NVa6IIhaIsSIqEWR5RliUdt7PRdhigZTUZxiOKDTa1HafD4bTHOrLjGz5pnhNlp8lK024wisantuvoLo7qIBDYusUsnRHlMT4eN4cHK+/TtBtkaUHbazCOJ/TDQeUkNnfuckyLeqnSnc3IzeoSrQBOqaPZJr3ZhFnvgPYTz9IdVJ0G17KwJlPypCAMjjRVCpJItdHiiLqpMXjnNXpvv0lTc5nULMhzRK+P8tJLTL77XabTjM7eHrqm0Wr6xHlCXhaM16yqa6rGcLimqxCGBO9/SHI4Qnoe8pFH4FhxkKUlmqZSq1koGszihDCKSMYRtcJnGp4Q9s/dqKxajUl3/cCSbRlM1gRfQvWbqtcCsrT6FvIsI45jwjBkOByi6RpFllIUCrqun/r9CdjaERBit8h83XgTQJZXpgbnzzXXdn4WcF1zSViSKCU5IQL3AwtdSjo1hwKYzpJThXSeb79GLkT/27BNsA9QC0z6W4IxYbcG5riD2CbsukbKUnL71mjpeOZ4Jq5nz62TE0aTCTKf0Wq3sbZMEOQbuoQLqIrYaSPtOwb90enP/NXHzybDbFP35fgYGXw2o2P3U56MpmlLreciZLHX63FwcMA777yD4zjL7kutVvtM9/ssM1i+6Avvx/GQsHyBcaeEpSxL3njjDW7fvs3P/MzP0GyuDwO7X3HWeTMLhGHIyy+/jG3b91RcvyAeuy6YeZnz66/9Oi/tv0TdqqMpGrN0dkqzYms2qqIyTae0mi0kkiRJiKOYg/4Bt7q3sEyLi7WLpGZK3axTUjKOx6e6Brqi4+ru2tBIKUvGSVVAdtwqt6QKnqwK97iImSbT5chTZW28OftESlBjhev96zSbTaQuTzl+KUKl43TIioyW00YVCqUsKcqCrMhIipSGVedgE5mRc9ey6frH62adMJmRrdHutJ0WcRrjaw6abiKEQlHmCKEwmYV049V97ThtDscDFmTFNmzqVsB0FjFJwmUnZs/tcDDs49sehqYRxjP6aUGu65CmKIbJBWwOZUqapqCqOG6NwWiKrurU/WqMzLU9eqoGWQ7zueY2BrIIkZbGQRKifPghNdWgZ8xd1jSN0nMpez28/gj38uO023Vm6Wwp4G9668dWGn7AYffEaNbt26h/8t+ZThOEnJPvt9+m+OEP8R+7iOeZzKKMQk3onSjyLdNktGWGZ7qlMPQchyjcrL4I5w5NAlYyX4qyhDJnOAhJkgQBVefFtjFNE0VR8AOH8XAG8fz9rVWHuiBwGA03ExrHNtbm3CRpSq/bxfM9dN3ZSig2jdctYBg6vcPV7qntmriehdAU0rzYmiEDu0MYDWO3S5mqbt+Gpu3u4mxyEDuO2a5cFN9idCwMcjZNmM01WOEsRMqEJ558jGkmidZ0X6AaM9yVm+N7u/UrirK+oHzmK/cmdHlT92XT6Njiv88C90J0fxYQQuB5Hp7n8dhjj5Hn+VK4/9prr1EUxbLz0mq17vkY/FkQltls9rDD8mXCF52Z3glhSZKEq1evUhQFL7744ufaJv2k+DTmApvQ6/W4evUqFy9e5Gtf+9qZnyt3m1w/SSf8ypVf4YPhBwAMoiML3ePp9GVZEhYhUXp0ExUILNPCMi1q1MizHEc6XB9cJ0szdEPHtmxs26bhNLA0a0kAClluDXEUCFpOm8N59yXKZiudCVXR8A0PT/eI8wRTNSsHsBMft3ICg5uTfdqdIyvX49BVHUd35hbJ6w5qFWB5GHYxVRND1VGEiqqoCASqUFGFRl7m7LmdxUvmn6Pa1yIv0WwNEEsilJc5nuZw+N7ryFu3IE3BdpDnzxNc+gpREp4iOBVZ6eNbPrZuEmUxKhoHw/5Kd6bjtCkKSc31Gc3GqIqCq3qMyxD10mU6b72LInJu6FFFRMIpdPbQGns0dYNhOOZw3MfSTfqFRLZbiP19JC4t0ySahUzTGeWTT4IQiCxHUY5uxlJK0jzHK0tqrsPY1+mOj7pdtmnRH64nArOTYy5lifLyFZqzGT2vgQLUtQJ1MmDyxp8xOf8XsB2d0WS91sN3HeITbmvLxzyHyRb3qjTZ3CF0HWtpGHASqqLQ6XRQFas6FklKFEeMRiOKosA0TZyRRPzJFZS5E5pstymffx7mo6HGjgwO17WYneiwLITetVrApUt7WwnPNgvoJdbo06IwIZoX3LW6QzlNqNdtdMsgLyXTMCE7RpKiHda9vmfS29E92VT8H21jdxdnl4OYbe/OklmXiyKB8XhMGFbZNtNRQhSlVffFt5fal3I+3ue5uzs9d6JfWXdMTFPjkfP33shmV/flrIX7n4Xo/iygadpSCyqlZDqd0uv12N/f56233sJ13SV5CYLgzD/Tw5GwT4YvNWH5omMXYRmNRly5coV6vc43v/nN+3Jl5E5w1iNhC3H9s88+y+XLl89suwvcLVnZn+7z4ys/prchX2SRTt+220yyCa7hUjfqREV0SrOiKirtWpverMdeZ4+iLIjjmDiKGU/GdJUulm1xLjhHqUpszaLj7FHInHEyIT/WgVk4gXW3uHyVZYGu6Hx8LMhRV3Vcw0VXKsF7lEaM+iOG2ZDOXmetg5Sj24BySsy+gCIUGlZj2QlKioSkOCpSNaHh6T7DeP2+tp0OB6PbrBsR6zh7HLx+BXHtI4SqInUdMRrSGMWMC4W8faRpcgyHmlEjyzIMzWAST5jEE2pWwDSaLcmKrVvU7IDhZEqcHRVFNbPBcDqmEzSZPKUTlpB8cB2iGaga8tw5zn//zzEsMkbRUeFvqw6DYgzf+AY1TUPv3kIMYiaajnzsMeTTXwVVoe54DHsT0A1kWZKnCedEiW0Z3NAEJKuFvWs4RNPTx7zhBwwGq90Q0euhhRMs36GlF4wk9AE8FwYDGI+YGJsXROItBbNlmCv5KsdhmsbWkS3HMjcSFoBsPjolhMC0TEzLnP89I+31UH73PyHiglJVq5HNW7dQf+/3KP5ffxk8n2hH8XyyczKbzRgMB5XQ23bQdxCeWs3eaA+9wK7C2jA1inHEsB8CR9+bH9hYjolUBOMd3YR1phcn32O6w953l2bjThzEXMdc0SutQ3xC+C+B0XBIFEd0Oh0C31kStOPdF01TqDdcFE2tcm82+ygAR2GQm2Ca6zNcnn60/bkU9vfaNvl+Ggm7Uwgh8OfW7Y8//jhZli27Lz/5yU+QUq50X87ClessOlFhGD4kLA/xxYGqqmTZ+gv7/v4+P/3pT3nyySf5yle+8kB3m85qJKwsS95880329/fvyWjcQly/uEHcCVl5s/cmv/rKr67kkqzDnru31JgcL+p1VScwAoQQZHkGghXioyoqruPiOlWHJk5irMLio/1rlLJYjsdYpomiqPiGj6mZIAUFBYNovVVwtW2NwAjmwvgjZGV21LUpYNKbkqsZj154DNuwUYWKlCVpkRJmM1zDXRHPn4Sm6Hi6S2/DvphqlbGyqVO05+xxsGFErON0OOzdQNy6BYaJdKqCu241SQY9gpuHqI88RSEgTGe4msv+cDXtPrACwqgqwlpeg1KWyBIOBv0Vwf+ev4csJLqmcTjuoSoa6le/Trp3AWYzmvUWWrPJrd5oOWa32GavP8axLOxGQM8zqMVfZ9wbIx0H3KNcifypZ6H3P9DGIywVIrUq7ibnHll2DJbHVdMYjtZXbIKjokRTFep1FxkPyJSMm4p1esFfSuqWxXDDKI/nOEy2iLU36VMAAtfmcLbZwSve0n1Rj6XLn4Su69Rv7xOlEjEfA5NSUgiBGkckr7yK/uLPMp5sHqlRhFjR/0yn0yMHtnn4abKjK7GL0Pi+tdWSuXqP9YX1wia41fJJRzNc18L2LSQwjTOSY+5Wu8ITfc+kt8YN6zjiHZ81CFZHudZiRy6KpikrpEcCw8GAJEnodDpoqraR9OR5SX8+WteoO7iKwPEssrLqvhzXDWqaynjHiJxnGyRrzr+nz0i/8mlwkrwAn7r78iASlpPQdZ1z585x7ty5ynhmMqHb7XLjxg3eeOONKpPqWPflk9ROZ2Vr7J3IDPqi40tNWB7kIv1OoKoqcbx6QZVS8vbbb3P9+nW+/e1vs7e39znt3dnhLEbCsizj6tWrJEnymYjr74Ss/MG1P+DfvfnvEAgadgNNaMxOZJkoikLTPC2IXyArMnpRbxkaKaSg7bSRSMbJeEVsL4TgseZjHIQHnHPOkaUpURwzGU8Y5H0M02RqTdir7ZFTkBYJtu4sNStJkTBJJ1VquGajK/rS2ngdRC7oHfZRbZV60CDKoxUxPlTZJWE2w9ZsAjNAoCApKcpyvu8SKWG4ofPiai6llGszVpDQcTtryYoQgqbVoj8b4qUSM5ZorRYIBUOq9PKIyDaIZkPK3k1w7IrcjFe7YK7hYSkWhmMwjEb0wj6e4ZHE+ZKs2EbVbekOhyu5N3WrRm88pNk5R17mjJMIYxqvkBVN0ciSgk6zTnc8YDaZgQQZtJDKqtai6dWYPGLiZjHD114lK0oUXcd/8mvc/sqTp45Bww04jE4fV8s0GQ6nNBseQoXhdEJ3PATL4oJtV+TMWaz8yUr74ftorTYM12tUbMtkuqHorvnu1iI2Szf/9i1T30qE6oFLb43d8AJ+/7Dq64jKp25ZtBUF+mhElkZ0Dw8xTHPpOqZp2vK3Xas5DPrhyjhSp91ertIapraTbOwq8i3b2J4hY2g7nbsWV6LjTlvAksAomspwC2kEdhIJw9B2amDWjXKdxK5tHB87k0j6/QF5llWjf4tV7V1hkEplpFAUJeH82Gq6Sq3uInSFSZTh2sbaMMjj2HSJf+Y+ICzHcVLL8km7L/erhuWTQojKJj0IAp544gnSNKXX69Hr9fj444+r+8Sx7sud6lzPSnT/sMPyEF8YnBwJy7KMV199lTAMeeGFF74w7PzTjoQtxPWO4/DCCy+gaWf7s7hbcX0pS37jzd/gv177r8u/rdOsIKGQBd1ofXr7AidDI5fdGkGVs6JalLJEFRoH8+R6ARiGgWEY1IKgsl6NIozC5N3r76GqKpZtkVopM2O2LHhUodJ22wgEWZnjam5FsE7cuEUiuN09wK1V3Z11qJzAKtviOD9dpPi6T1bmJHmKqZroqo4mVBRFRRECXTEoihIpy3nGyhyyylrRFYO8zOi4HUBSSolEImWJis4wGlKUBVMyZlqBzCZ09Bo385ASCXmOVBTQ1BWyYmgmgeWiCJVxOOUgPvp+LM0izyqyVXcCFFWhyEsOB/1KAD5H22tRFpLAdemHw+pvbovusfwRQ9NpeQ1uD7qMkxMdl8Fqx8HUdQxdYzjp8ZGp0foLfwGlLFFsm55iw4kOpUCsLfRrgYvvONwu+/RPjorpOqNvfAf+7CWYTEBTIc9B1+Gb32S4ZdRnm6C+sldeXywbur41nd73HOJosxh/nV32cWQbzk0ALQhoX7iEqo6qsco4Zjweo6oKlmVXlsmKX63wDwfEcUKnUzmwHe3f9vwWw9B2jkhlu7JTAvuUBfBJbDr+CwLTbvukwxmeb2N7JgUwDtMVvUm4YzTOd016g+0dmF0jVp5r7hTCL8bOpJT0+j2KoqTd6aAeu+7uIj2BbzM8QUbyrKB3eHQuNS2dTmCTFCXjWbKWBK2zRHYdk4t768NW7xdss03e1n0py/LM75/3EwzD4MKFC1y4cIGyLJfdl2vXrp3qvvi+v3FR8iFh+WT44p5ZD7EyKjWdTrly5Qq2bfPiiy+euePV54lPMxK2ENdfunSJZ5555nMX10dZxK+++qu80X1j63NUoVLIgjiPqVt1dFUnyZOla9cCHaezOTRSwiSZkKgJtmbTTwb4ZjAX3a9qVjRV5St7T3A4O+S8f444SYijiG63ixCiKtBsiwu1C/RmfXJ5VHgsQik1Va/yPAYjbvRuUm/WME3r9H7BTtviutVgmkyXJOykZqVhNRiEh2sdyVRFxdcDDqeniV41XubRPR5o6XnIWsDeQchhbYpUq0JcRBHy8mXONS6T5QUdv02cxUySKdNUIAqFOD+mo1E0HMVB1VUURWEYjTA1E1GoS7IihKDtN4nilGl8VIg3nPqSrBi6TuC6FHnBfn/1GKmKSnhMDG+bBq5bjWi98d67xHFMp9NZ/v7rQZPD/ukuSjOo0etVpMexzUqAHM+YxBOiJCVbI4yu+wHDxx5HGCbigw8QkwmyVkM++STNp55abu8kar7HaItGY1t3IPAcuvHmcbA03XxdEIKtnRtNVRg+8gS881FltGDMr5lpBooCTz7JaBShadrSgUiWZfXbiGMGgwHhZESalSCh1W6vkJU7ge/bG48bbB9pO/qc2685d0ICFkL06SRiOv8+hICg7mLaBiiC7g6djdjglrXAnWS42Jaxc1/jOKOUJb1er+qitlf1Ip67PY8GQN+RNwMwmURLzY5h6vg1G1SF8az6fTiWvjb/5elHWw/UdMfdhFbmef6Fqi22QVEUarUatVqNJ598kiRJlt2Xa9euLXOVWq0WzWZz5bgURfGptTBhGHLhwoVP+zEeKDwkLF9gLDosh4eHvPLKKzzyyCN89atffaAulneCTzoStsidudfieinlHZGV7qzLr7/267w3eG/r8xp2g0ly1DE5rs0wNINAD5BINEXjdnh7w1YqeIZHUZZL3cskGTNZkh6BbwbYqoWmaPTiPlB9Fse2cWwbKSFNE6I4hhBe772OYRrYcwKjqip5mTNMhshSIkM4mBzQ3mtTs2uYmokqlMqhqUiJshjfCrZnrNht+rP+ymjUcbTtNr1w/eOGYmBpNsNoePox1cBUbIYnx6CEoP3s9zhM/wxlPMYtFUxFh/OPo37tW+yPV4mPoRmoUiOcd7IUodB0agip0p0MjjptQsEUNuN0gqpoNP2AKEuYRjFRclS46WrlimRoOoHnMpiO6E0GONrp1bWWW+egN8JzbExToz8dMRtHhL2QNE3Z29tbFh6qqjI8mVJfSkgTCiOn3Qqq7246YTZfbW4FdXr99QW0Ote1yAsXkCdupOUWW15jSxFfD7ytgvNiixWwrquMT36+Ywh8d6s7Vy1w6J2/gPj2t1FefRWSeZGrqpTf+hb1Z59iMFh9vVAUbLty3DNNjWsf3QRAUVUODw7QDR3LsrAtG03fPQ6261Id1BwGO7on4Y5ugu1sJwFCsLbbJiWMByEMQjptHzVK8RsumqkxS/JTHZddHZhaYNEfbP6+gJUu5DrouspoMqN72EUoCu32aXJQkZ4dYZBbiC6cNhhIk4zeQUVOhIBa3cX3LBRFnOqyPPOVB3sMe1P3JY5jRqMRnueRpulnHlr5ecM0TS5evMjFixcpy5LRaESv1+PDDz/k9ddfJwgCWq0W7XabPM/PxNb4izIlc6f4UhOWL1rhfhKKohBFEVevXuW5557j4sWLn/cu3RPc7UjYcXH99773PRqN9TkTnwbH53/vhKy8P3ifX776y4RpiKZo1K06ilAI03BF17G1YwKkecqwHBKYAbfD27iGi6M5FGXBOBuf0EjUCdMZWbHp5i2ZZTM0oXIwqzQytu7gaDaKUJY5K6ZpcrnxCAfhIZ1cI45iwlkVyrco0EzDRMyUFSewMA0J06MCZeEeFiZTAjPAUA0EAokkLwuyIsXTPW5v0OsA7NkdDsL1I3K2ZqOgMo5PjwhZmoWKVrmqySrB3dQMdFXDUkziLMN5/meZHe4zThOkZdE5/wT701WNjqZqmMIiTGY0nTqKIhjMRlAqHE5WTQGadpMwjmjXGgxnYw4nPZpOi34yXHley2lQlCX96XBpOdzxWxwOVp9n6SZpVtCoewymY6ZpVUgUs5RoLjg+Xjg0vRqHvSNyJt5/n+YH7+JNQ27pJunjjyOfeQaO3Vg3jR/pusZgw2iWZRobHxNCnBq9WdnuJjKT55jvv8v4nWuoRUF58SLyq1+F+YiEUAT1wKM/mM7fB5BiPvInKQu5045YzI+VfO45iscfR+zvAxJ54SK47tbRl6IoGI8qm+q9TgchxJEjXxwzmUzxXJOyVJfal9PXCLmz46DtyD1xHJNZvL04L/Ltgg7Ps7fqgKAiEnlRMugekVnTNvADB6mIyjL4E+aVLCDEbjc019b4+MZNNFWj2WquHfkryu2fV9OUnWGQgWvS3WAwICWMBiGagGk/xLINvJpNiWAUJjz9eHvrth8kLK4neZ7z05/+lFqtxqV50OtnHVp5P0FRFBqNBo1Gg6eeeqqyMZ93Xz766CPKsiTLsipKoNH4RGN0D0fCHuILg6IouHbtGkmS8MILL1Cr3XvP988LdzMSdj+K6//Hzf/Bv37tXy87JnmZ0z/meOXoDq7uYigG+7P9jWQFqsJbV/Xl64+TAiFEpVnRLDSh0Q17ZOXmYsbWHFRFXRHOn8xZ0RWdpt2klJK202KWzapQvsCnKEriOCKeVd2XSTHFcRyyLEMxlZViwtZtFJRlt+j4eBcwD3zscDs8QBUqhmagKzqqoqIKBaTAUAzyMqfjtlnkqFTvIRGoqKjkMp9bJC8ekahCIy1ysiLF1i3iPCHJI5I8ouPsceO461ejDkDHrXJWjsPUTFp2kzhLUISgPxvMn9vhcHT0XIHgfHCOOE2Ispgoqwq5tteiOxwun+fZDoHls9/trnSLbMOiP1olXQ3fx1AMbg+O3ifLc/rdHq7h0263V85DRVEYTarv0TB0Gh++R/STlxgKEJpFniQor79OGcfI558HIHBcxuP15KLu+hxuMD7wHZc4XP9YI/Dpb+wQSJIkww9sdL1a1RWKhKJA/Nb/hfPhh0yERq4IivduUxy+R/qX/hKF41Rz9mpCoW3oHOgQ5lM0N0dRVFRVQVPnYmKhoCoKqlLSueAipUAWLtmlFllWkkQZZSk3WvjmeU63e0irWaPV9pfn+YojHxLfM/j44y6j0Yh+v49pmti2hWXZqKqK79s7OzCzHc5djrudsCiCjd/pAra13bhACBivychJopRkvn/tto+vqVieWTluTeMqe+kYtrm5AXjedje0vMi5dWuAruk0mo21ZOVOSM+dZMXsbH0Bk/n5EUfp0rK70XA41/J3vvZBQhzHvPTSS9RqNb7+9a9/bqGV9zMsy+LSpUtcunSJsiz50z/9U1RV5b333iOKIur1+lL74jjOHS2mT6fThx2Wh3jwEUURV65coSxLTNP8QpMVqEZbFiLAbZhOp7z88su4rntfiOullPzWu7/F77z/O1uflxQJpmZyOD1EFWrlGKZoRFnEND0q9gIzqJy6kvUjO1JKJskES7XYn+4jhELNrGGoJlmZMT0mzF9sK0o337gN1cTW7FMdD105ylmZKTMOp10yK6NpNqvZ/n4fKcG0TGzLplPrkJc50QbbYgWVul1f2iMXsqiyZ92vzK0AAQAASURBVOZCbEUo1M0GNyf7a18fGAFRNllxRFvAMzyyvCBZI+rvOHscTk5n37TnZEVTNQLLQ1VU4ixGw+Dm8Nbp587JimPauKYDEm4ND1eIp295SxJS9wKEgFkS0x0OT422WapNVI4RAppBnTRPyMuSweiIWC5S1C93LlGgnCrdWl6dvCjxPIvBoEf3tVdBEbiOyyBXQDMhiVGuX6f46lfB8zA0AzZkoWxLHl+X8r6ApigEgYVh6CgqlJSVwUOaYpsGg0Vo5bFNiI+uody4gbRthup8DlxKmEyRb7wBzz+Ppipbx8E8xzoiHEUJJ06NIHAYD9aTLEyo+Q5FXtAITDRVBSkoc8l0HHH79iGObWMa7lL7cRICgarq1Ov1pYg5jmNmsxnD4RBN01HVFmlaohvGWmsAy9YJdxTfu0aogpqzM+Ml3SGEDwKH0Q63rFIeWSgDqLpCre6iGirTOKOYB1lug23qGwlLlud0u10aNY9G09topbCL9MDurBiAcMe+uq659jlPPf5gj4OdxIKs1Ot1vv71r59aFIHPLrTyQcGCrF26dIlOp0MURcvuy/vvv49hGEvy0mg0No6OhWGI73+xyO8ufKkJyxdxJGwwGHDlyhX29va4dOkSV65c+bx36Z7jTkbCut0uV69evWc6nrvNV0mLlN944zd4rfva1ufZml11OeYuYYUsVhzDLM3CMzwMxWCQDEjyzTdSRVGpm/WlPkTKklFybCRIKARmgG/4FVnJNt/YXb2yCz7++gUWOStlXNLvD7ADm4bXwNUdzKaJEIJZNGMwGZLPct4dvIdmqFiWjW1bK0RSU3RczV3pOB3HIhCyP1v/eN2qM43DJRFbopQEqkWUJmQnH+M0WREIPNPFM1yyvMC3XCZJWHVRJLSdNt0TI18Np8FkFtIOmmRFxigaI7OE8ma3Cmj0PajV0BQVCoVmUCNOE4bztPem3aQfjSCKqhyYJKHVOMewLui0WkziKb35e9asGguboiiK6PcHtBoNNN2kPJbFZFkmgWsTziLCaE4Qw7CyHjYMHKkexQqaJkwmiNEYrVZnsCGTZZtoPvBcxsMIRRF4noVhaggFsiInzTN60ZAiL1YIyQKevT5kUhzcRpclQ+WYaFUIUATi5k14/nlqvr9RawNVmOS2kENzh3DYMAwOx6tdrkp028Vv+jzx2DnSVKKrGgKFPC2J47wKmZSgG+pS8C+EQNf1qjPp+5RlSRzHRFFCtzuam1pUY2OmZaHMry2eZxFvCVAUQiwJwibo+vbiXFOVnWNppnEHVsQntlFkR3knAOfO1ShMnULAeBpTrNE8pRvGEbMsq8hK3ce0N5MVWNhcfzobads2lqGTm+DY+lrC8syT57a+7kFCFEW89NJLNJtNnn322Z33vHsdWvkg4XgOi23bXL58mcuXL1MUBcPhkF6vx9tvv02apsvuS71eXyEos9ns4UjYQzy4WCS0P/PMMzzyyCOEYXgmgYr3O7aNhEkpuXbtGm+//TZf//rXl/O1Z4m7dQIbJSN++covc210Dai0GzWzhqTqgKRzTUlgBsRFTJRuLhjiPMY3fG6Glbh3YVOclRnjdLwkcoZqYKk2/dnpjsHR5ygxVZMbk5tUxa/ANTxszQIEcV51dOpWgzANycr1N3YpQc5KuqMetUaAaVqVBWQyZcJR0Xtx7yL9WZ+arFFmkmQWE/diVE1Ftw0s28JUzLWkqPpMJqZibAyEbNktBrPhSjgjUiJu3aK+PyCMphSmjjh/vhKJC4Gm6HScNkmW0fFbyFKSFAlhOsPQTPZHh5z0L+24q/krhmZQs3yKojIS6E6rx5T+AOPVd5hMxyhSIjUN59IjBN//OQ7D8UpWTMtt0BuOoNtFeeUVRBhiSTCK91CaNQ6f/y7MxwFaXp3esCr+ptOQ0WhEs9ng0XOXOegNq6yAmk8pJIPJCE/aR2QFwDBAVdHzgt78ewcqS2JFRZoGdc/nsLfeHlgTq0WvIgSuZ2OZGoauIUXBNJoxTrIVYtKq15YJ4ychhMJo06iSolAvSw6P7ytUJ968CNi1HLFr/CjaofvITnQdKpLYp16r4XoeCIXRSdtnQHNVbNui5rsks4IsLQmnCVm6WrAFgUdRSi5cdEnTZGmZnPerPCTbsghq6x32FqjVna36IIB4Q6DkAkFg7xTC77IiDnyb8Q6SUBQF3W51/iuqoF530a0j8b66gTilaUq318XzPC5dOkevv31fd1lA64a60/LYdXYTlnyDLuirT30xCEsURfzZn/0Z7Xabr33ta3e9ALhOuL8gL1+G7ssmW2NVVZfdlaeffprZbEa/36fb7fJP/sk/4bd/+7f583/+z/OX//JfPrORsH/xL/4F//gf/2Nu3brFt7/9bf7ZP/tn/OzP/uzG5//bf/tv+ft//+/z4Ycf8vTTT/OP/tE/4kc/+tGn3o87wZeesAghtmoCHgRsSmhfuIRJKb+Q3aQFNrmElWXJG2+8we3bt+8bcf3H44/5pSu/tJJGnxUZ3UUavKiIimd4zLJZlU6/AUIIWnaLw9mRo9YkmTChKl4VoVCzatiaXRUEW/JaBFWg5PFtgSRMp4THxs72nCrEsG7Vq4ySbLokWACylBTTgn7Yp9FuomvrV6r33A4H805PSQk6aDUNx3dJkpg8zbg1GpKVGYEbEHgBvuOjqdUlS1M0kIK8yDFsA0mVXyNlCQhszSLOUnzTQ6DMF+AVlA8/wnz9OoWqYFgOMowp3vqQVGrEj16ibjXYH592VmvZLfqTASfJyp7T4WDcwzNdbNMmK1KiNGEaRasdqjSj/eq7dKdjFD+gqZkUaYT2wUfsmzby8ceXTzU0g/F0BmWJ8tprNMMZNBtoUuNWliKGA5Q336T83vdQhGAWZ1Uw4WhEGIa0O21c2yGKUzqtOuPZlN50OP+eYTY7UZBZFvLiRRrvfsCBbYCmVbkssxmy1YJWi+lsPbHQNJVZlNBq+iiaIM1SJrOQSTImzASq1NZaIMN2h6+67zEYru/oyEuXKN988yjjBar9lVA++hiKIk67nx3/uKa+tWtgWwbTLSGJmq4t9T9QjWYMh0OajQb2XBM3Dde/Pi8LJmGIYSr0xvMOgwaWY+BYNppQyVOJpmkc3B4jANMwMQ2TWlBbjo7FSczbb72PEEeifcM0V4iavqPzoevqTjG9skPUX9kqbydFpqXB5mYXwEq3qywkw97Rd2+7Bs2GQ5QVjKYJRVGdNwsbWT8I8O+gcFNUsVO/EnjWTtLDjnpBCJiuIT17HZ9G7Ww1k58HZrMZL730Ep1O50yiANaNjn3Ruy93ksMihMB1XVzX5ZFHHuErX/kKP/jBD/jt3/5t/s7f+TscHh7yD/7BP+Cv//W/zo9+9CMeP3YPuVP8m3/zb/jbf/tv80u/9Ev84Ac/4J/+03/KL/zCL/DWW2+tDRX/oz/6I/76X//r/MN/+A/5K3/lr/Drv/7r/NW/+ld5+eWX+cY3vnHX73+3EPJBr9Y/JdI0faAJS5qmXLlyhTzP+e53v7siIk/TlN/7vd/jL/2lv/SFSp89iY8//pj9/X2+//3vL/+WpilXr14lyzKef/557A3jJZ8UiwCtxcV0Yd+4Da8evMqv/eTXto5tAew5e0tXLl3V8U0fBYVpOl0GKC6yTTZ1FxaoWw3CZEpWZmiKhm/4aIo+T6UfI2Vlf+ybAYMNY1er+3XabtjSLByt0mYc3j5kmk7xmj6qcvqcEwhaTuuIoK1BzawzS2ekRUqapsRRTBRHFEWBaZq0/TaqrlGwvhDuOJ21GSvkOe2XXmeYhhTeUStdzGagKLR+7v/JYXq6smraTQbhaOU6YWkmDbtJlmdM0xnxnJwoKHi6zzha3c5ed0b2R3+M0WoxFDkZEluq5IMJmWNT/vCHSyFv024ymk5pzmakv/c7TDwHXzWZZnM1S5IgioLi53+ezt4jHPT7DAZDkiRhr9Nhr9XE1Exudk9/V22/TndwulOiJAnmH79MenAIZQFCIOt1yu//LI1LlxgcW2W3LB3XtRCiyue51V1/3rSC2qkAywUMQyeLi43X3nZt/X5C9Z78yZ8i334HyhKQ1f7u7VH+/M/TaDUZDDcXne1Gje6GbhFAp1XjsLtBvwK0GsEyiHEymTCZjGk1W5hW1fHwXGtrECZUnz9NNy9GtJs1xuMIz7ZRFY08LZmOk2WHoFZ3GAxCkiQmjirnMSklpmVhz0fH6g136/hTq+XR620yPKjgOCazDWQVoNlwd3Zg6g2X4WAzqdmk9ziOTsfn8HCCogiCpktWZFy7sY/l+MvgWcPQtupt6rXdHadOy+NwxzHZ9T5VR+k0Efy5HzzJ//JXv7/mFQ8OwjDkpZde4vz58zz99NP3fCF0XWjl4prxIHdf/vN//s/84Ac/+MSmP0VRsLe3x9/6W3+Ll156iT/8wz/k6aef5kc/+hE/+tGP+HN/7s/dUc7LD37wA77//e/zz//5Pweq4/3II4/wN//m3+Tv/t2/e+r5f+2v/TXCMOS3fuu3ln974YUX+M53vsMv/dIvfaLPcjf40ndYHmSMx2Nefvll6vU6P/MzP3NKRL4gKWeRqno/4+RI2EJc73kezz///Ocurgf4Tx/8J/7o4z9CExrJuoF95nkddnNJVqDqvhzXZzi6Q2AGINmZcN+22/Si/rzrULmPHXf8UhWNpt1EVzRmeYSiqJTlaRJQkYz2WrIC1VjaZDYhn+TMiGi2GxiagatXwns5f+8kS7B0aytZadktBlE1xiWEwDTNyjiCGlmWYRQGvVGfKInQ9XmmhW2jaTpCbCErQKu0GMYTCmeVvErL4tww49bhDaitJlA37EqH4pkepmpQdZ0iHN1mf3SiEyOhbjfoH7M6dk2HwPSYXH+NmVqAmGc1SNBLlUhTIcurVVsh6HgtZAlCLelOByiUIARqoSAXBE1RIM8xEPRHI7rdHqam8tQzTzNNZ0ySKaPJmiJSQrzBirXZOU/3534O0evBZAq2hdzbA0VBEyqthofQBGEcEcUR8Vwb4Vmbb7ibBOcANdfjcE0WTvXxlK0dklrg0fuZn0FcvIi4cQOKArm3h3z0UVDVnde6fEPHZ4FNHaEFBFVXfjwaEc5mtNudleLAtsythMX3HSaT7YXzZBqRZhn9Y/ojNInn25iGhWMa5Hk1B29bNhLI0rSyTJ5OmUxH9Ac6lmlh2dby97HyOXYUm5albyUrUHVYtkFRBOMt4ZwAjmPsJCwLXUlZSvavH9DvD2g0G7RcFy9wUHSV7mA70bgjMf2OUS/fM5fuX5tgmus7Ss88dX7n+9/PmE6nvPTSS1y8eJGnnnrqM5nauJvQygel+7IgYZ+mJlvYIv+tv/W3ePTRRxmPx/zu7/4u//7f/3v+xt/4G0wmE/7Df/gP/PCHP9y4jTRNeemll/h7f+/vLf+mKAp/8S/+Rf74j/947Wv++I//mL/9t//2yt9+4Rd+gd/8zd/8xJ/lbvClJywP6kjY/v4+P/3pT3niiSd44okn1l48Fj/cL7qO5fhI2CIk89FHH70nK0B3K64vyoL//fX/nT+58SfLv9m6jad7FLJgFI8oZIGhGtiavbWYh8qBqx/1SYu0csey6hiKQVzETJLJ0lGq42xPigdwdJtJOl52bSrRfRXmWJYF0zQklzmB4W/dryzJiEcJpVnSDJoIMRfeH8sTMRQTSzWZplMCK8BQqoyVkrISYBcJvu4vncDW4XxwnsFsSLPdnFsmx8RxxGQyRVEEF2uXuD67gWkap76XltOmH91EaGo1PnSMxO6lOgdagmIYOKaHoRpoioKmGExmU/IyZxJPljVI3aoxCE+v0LfdNt1xH890cUyLKI1J8oz+dExi6SiqOk9MN+hgcVCmkCSo58/TrLeRsmQYTo7GAOs1pGWxN005sI9G68QsQtZrePVz7B/cwvcsDNeiPxfrt90W3TVkoBnU6G/oeERxVnUp2m1Ep0PNd9GMKtDzcNA/OQkHQOB6jDcU3pZhMBhvLiDjLRqRun+Un7IOci7IXhdQKYTYrH2hKlpHW8iQpmuMNmTGLLY/HIcMBwPiebbNyWTvLNuu6aiE35sfdx17Q9ijYBrFTKOY1LcJiwjNU/FtF1VRyROHyTgmKErqDYcbN7qV9mUyroiNbR9lIimC6Q5diedaOwXou2yVg2C3C9lixGsTdENdjnIt8p2arSa2ZROFKVGY0un4yFlKo+GimTrTOCU6YUiQ7NAt2XYV0LoNlmXsJCzrdDJCCL76xIPrELYgK5cuXeLJJ5/83EbMN4VWHh8hWzzvfg2tXNRjn4awTKfV9XEhwg+CgF/8xV/kF3/xF5FS8sorr/DUU09t3Ua326UoCs6dW9VVnTt3jjfffHPta27durX2+bdu3Vr7/LPGl56wPGiQUvLOO+9w7do1vv3tb6+dM1xACLHUsXyRseiwfPjhh7zzzjv3LCTzbsX1YRryv77yv/Ju/92Vv0dZtMzeUITCOfccilCYrBlHOo623aYf95ci8lKWKyNhulKJ903VYrRjVKxhN5kk4xX3LClLxsloKYy2NJuaXkMIQcfpkBYpk3RKKY/OpyRKiEYRum/gu+vnyF2tchQbz+2W19kLd5wO3bCHpVmYqrnMV1ksKOhCJ8oTPMOjlAVFWWIZJuXcVckubW4M9omjCCkllm3j2S6O49B0mkRpRFDbQ+88gvrRR6C4YJhoac5s0sO8eI7IsZjOhe++FRBF41PuYp7hEcbRipBfEYI9t0NRSBzTZpqGTNMQAdSMGsNkAo0Gcm8P5eZNaprDgUioRyma7dD7ymN0pz2a8xGzJUwT/emvMrr6JmI0Ak2HLCUwTLRvfZvXr72LpuvUg/ryXDR1k8F4/bhTnq4vDBtejShKabdqlLJgPJsyjEYQQTtorCUrAMYGfRJUmS1xtH6syrNtJtMtRazc/LvSVG1r9yXw3K0WuzXfpdfb/DurefZWdzHftXn/g4+rkYxOB/VE97YiRNsL9F2Fs2MbW9PpDV1bak/yvGAwOfq+FVNQc108x+Cy2mEyjsnSgiRNiKKIwWBAWZY0Gj5hWOlfNhVOJ+20T8Ky1jthHccuFzIhTjuInUTgW/R6IdPphNF4TLvVwjRXDQfyoqAsJIPuEdF1PBPXt8lkySzJd4rpHds8RXJOYhe52qSTuXShjuuYW197v2IymfDSSy/xyCOP8OSTT37eu7PELtvk+zW0crFfn4awhGF1DVwnuhdC8J3vfOcTb/t+xkPC8gAhz3NeeeUVwjDkhRdeuCOHiLsJVXyQEccx77//Pt///vep1+tnvv27FdffDm/z4ys/3tnlqFk1+lF/6bhl6zau7iKlZJgMKeYjWsd1LZsghCA9JuA3NRNP9xFCEGUzwqy6yHWcPbpRdzkqtg6+4ZMVOf14VZ8gEPiGj6n+/9n701jZzvSsG/89ax5rrn3mYx8Px7Pb7nYnduAlQe/Ah0BCEAkiQgn5CykfaMQkIYEihAQSkRAREhJK9wtpXtFAQEQJUUhaydvpJpA3KN0+x+15to/tM+y9a57WvJ7/h1VVu2rvGo7tbfvYPpfUavms2qvWWlW11n09931dl0mv02M8HOFWXXRzdfFaMksEcbiSpMz2V7cb7E/T6cM0nHd8Zmg6Ta6NVmesKEKhalfpTLpUaxXkdHQsDEK6oy7RIOI6N7AsG8u20M/vIKI+ottlp69yXcuROxXkhfPzwtwzPcIwOkJWLM0izTKSLMW3XCzdKl4jYW/QJj/UqV3MYEEI5EMP4ZaqWO/cwE4juqcayDvugGqlcAXr945+Dg99kbZiY129SjkIGFdPs3eiQZgVegW/5C99F33DpTU5ShQqboneIVviku9iGhoyF4TjgzGvGVRFWduNUFWVbn99YT86LOxfgG2u13ioWzog5ZJLe4P+xNgy/rnhKz/F+t91nue02y1kntNsNlcWP5WSQ2sDITIMvTBU2IBtTla+Z6/VBuVS0h8NCeKIOEoQqqDccDB1jyyVDHqFXbLjKFy91qbX7aEb+ly4r+vGfHRsVRjkIm6mA7Opkwbg+9bW9xFCMBwOGA6HNBoNTMM8tB2GK/YxGUVzF7pGwyV3TBRDYzSJV7rEiS0ETQi2WjyXPHulTua+T6k72Gzs/I477uDChQuf9OFsxKbuy600OjazNP4wXarJZIJt2x+K9DQaDVRVZXd3ebR5d3eXkydXjy+ePHnyfb3+uPG5JyyfFves8XjMpUuXsCyLp5566sgYwjqsc9D6rCCOY1599VXyPOdP/sk/+ZGL62/mRvNK+xV+7ZVfI5c5hmosuWgtouk0p8Th4EG52H0RQlC1qji6wyBeX6QB0xGzaYdkiiiNlgT+lmpRd+rEWYyjOYyT1WM3VbvGMBySyqOjLRLJIBwQDWPG4YhSrYyu67i6g6WZqEIllRlhEmKpFv2ovza8rgh8rKwfN5NTy+A1pE9TZhksB5oRgcDQDQzd4O6Td3Ojt4sIVcIgYDDoo2ka1tmznDt3HzcmPbBMKJWYFaqO7pDE2RLB0hQdz3SxVIsojcnyrLBojkbYuk2WyiNkpe7U5mTFnQZGTpIA7eEm186dL8TiqgpCoKs6g/HRIqdke0gJlfvvo3fuJIGUBEFAPI7QdB3Xcwub5vfeQ1y9ihMldMtNuOMOOOzPnws0RaVcchEqDIIxg3CAL9YLs6temVZnTUK9568VxZc9b7nLkaWIN95AXLmCiBMmp8/CXffMbZkXUfF82p3133W5Ip9jEYMN7l6KIjaGSSqCtWQpy3NarX0826HRaCDWFDvbpot936bdXl/kq+p6kjjDtkdWyXcYTMmnlJLBaAzTdB2hCWonHUqug1fy6XbGjMcTwjBkNBohEFi2RaNeKQiPsv7NtnVgDFPfOj5lmTqDNWGks/e4enWX4Wg0Hb87KiQulW36vc1EQghlKffFL9tYrkmc5fRHIUgYbDnWkm/T/4C5Nhc/hfkr/X6fS5cuceHChQ/kQPVJ4lYOrVzMYPmgGI1GOI7zoepXwzD40pe+xLe+9S3+/J//80Bxnb71rW/xla98ZeXfPPXUU3zrW9/ib/2tvzX/t9/7vd/jqaee+sDH8X7wuScsnwbMdBlnz57l4sWL7+vLfrMp8J9GzOZqZysNHwVZWRTX34wT2B++94f85xf/88HI0NSm2FItgiyYp9BvKsRn0BSNnJyrw6vAsmPYOBnPic2iE9g6KIqKY7jzfRX7M/B0D03ViNOYYTKkZtVoT9pri5Esy0kGMeN0TKVRnYpuJeNkPO/gADTsJr2gi63ZmJqFIhRyKUnzhCAJkEgczaGzEIK5CIGg7tY3kJUiULK3Zuyo6TTZH7ZQVRXPdfHcYiwtCkPs3OblaSK9lWnYQYBpWTiGg6laKKqgbPukeVZ0fJIImUtujJdXljRFRZM6QbpcYDqaTZ7lNMs1JlHAOJ4wTiaFtqTfK0TzC7/hslmiNTi4DhWvhKYqxFFGe3zQ4RqORgz6fc6fvIMMWZCVF19Eee01yCVurhFca6G89x75k09CqYRp6NQ8nzBJyfWU9nj5ehuqybr0+k2r55vGmnR1YTFF5ih/9EeI994DBFUk3RdeQr3yLtmP/AgcSmrON4zcaJq6NrwSio7RJoH3Nm1MuezRXbE9naaol0oetuWvvQcItq/Ab6nxqZTcuQPZuh1sImUApqEDq18jpWQcBEyCgCzLEabgdKOKoepEYUZrf8BkMmE87tPujDFNc959OWxesq0z4vsW7dZmIfymDBeJJAondLuDgqysGUE09O1lzPiQecCwHzCcfld0U6XRLJHkkr6UaztcprF9NXvV70JVFe6+o7H1b28l9Ho9Ll++zF133cUdd9zxSR/Oh8atFFp5HCZIo9HoWEIj/87f+Tv87M/+LE888QQ/8AM/wL/4F/+C8XjMz/3czwHwMz/zM5w5c4Z/+k//KQB/82/+TX74h3+Yf/7P/zk/+qM/yq/+6q/yve99j6997Wsf+lhuBrcJyy0MKSVvv/02r7/++gfWZXxWOywzEnfHHXdw8uTJta4WHxTvV68ipeTXX/11vv32tw9tgEE0YECxamzrNmWzTJIl6Kq+dlTK1V0k8khey6JjmK3b1Kw6URohxPobrKGaWJpFJ1gOjUyymG52sL8d9wRhElJ3GiBzxsmEID0ofJIkIeunTERArV5bu/radHbYHxVEY6bnWISlW+gYpFlG1aqgKhqKEORSksucLM+K452sJjOGYmKqJv1wcSV+VgmKIhtluNy1EQhM3eCUf4oojag3GkRhxCQYMxqP6A/6TPQAtA62vTzXX7MbdEZHrXtLZoXONN9EVVTKtoemqgRhTPcQkXJ0h94KpXXNqdAadCm5HoamMwxH9CY9ml6DwXS0SwL9Xp8gmHDfnRcZhdNCcTBAefNN0DQc06GVKkgkpV4X88qbBH/iKQbBiDCz6I6Odi1M3Virdym73lotiO+6a3UHmqLQWxgVEzduFE5epgmahiqBTMBohPLKK+RPPDF/rWHoG/UpFd/baEds6gbrCnUoOnqboK0oIuIkod1q4TgO58+e2TjuVSq5WwT7rDUpOHjN5vtMyXe2kqI43jxSVvadecaNlJL+4OCcnLLKidMncCyb8v6AVqtPEAT0e300XZuTl0ajvDUxXmwhZ6om5p2gw5BS0u11sS2F5k5znr+0CpsshmEqph+vH01LoowkTGi1RghRWEYbjkkYpwwXNDrRluuq6SqDFaOOd56vY64Zmb0VMSMr99xzD+fOnfukD+fY8UmHVh4HYRmPx3ie96EnhP7SX/pL8zyXGzdu8Nhjj/HNb35zLqx/5513ls79h37oh/gP/+E/8Au/8Av8g3/wD7j33nv5jd/4jY8lgwVuE5ZbdiQsyzKef/55Op0OP/ADP0C5XP5A+/msie6llFy5cmVJXB8Ewfxmcxyf5/slK1Ea8W+f/bc8v//8xtdZmoWmaNwYTR01pt0XUzWJs5hBNEAiqVgVxsl4LZmZwdM9rg7eY7Yzz/CxNHMqcB+Q5gmecXRU7DAUoVCzauyNpxqZhWe7oRq4ukcSxrR7LaQlqHq1lWMphR6lPicrq4/ZJc1zhmlRJI0PnaKqqPi6z+5o1s0Q6IqGpmooQsXSTJCCLM+o2lVEHBWjRteuQZ5jnjzP6JxByfbnHZ0sz0nyhKpVYXdwSAdkgG+XqeU6+702YTCh3++h6Tq2ZXG2dpb2qHNE2bDj7hAmMTulgjAOwiGdSZeG02AYLhetAoGGziRfXuX1HQ9d1bEtk0FwUIgbmkFvdFBQdrpdkjjhxM4J0gWrYNFuQ5IgSz4VqeLqkjEw9A2G198lGz1IyS2vJSW+5dFa06FSxfpHg6kZDNcQg4pforU40rW3X8xJaRqKhF6uFK0ITSs+s9n7aSq1conBcIIiBIoiEMpyR9MwVCrV6aqiLIhcnhedpjzPieMETVPIsvzIaJYQLIU9HoVkeKhzcRBM6ON7/lZtybaV/m2EBtia37KpewJFF2obKVK19cVXmmUMxmN6oyFSShqnPTxnhzyB/b0+g8GIdrtNlo4JI+YEZlVBty2ksVxy6KwIaZRS0ul0SNOEC3feSb+/fj+arqwlPTO4rnXTYnopod+dwDQ3xrJ1vIqLFILBFtF+2bNor8ikue9TNA7W6XR45plnuHjxImfPnv2kD+cjxydhm3wchGUymXzgDJfD+MpXvrJ2BOw73/nOkX/7yZ/8SX7yJ3/yWN77/eJzT1huRYRhyKVLl1AUhR/6oR/CND+4u8hnibDkec6LL77I/v7+krh+dgM5DsLyfsX13bDLr3z/VxgnYypWhUE0WHKQmsE3/cJlK1pYoZ12X2bQVZ0dZ4c4i1EVdS1hURSVilk5NC4lGcVDRnOnMcEJ9yQgSfOUNEtJ8qOrjJqi4+kerUPdlxniLKY3eI9slKN4Cq7rYKomju6iKSpS5oRpRJhG+IZPa7x6PwAls0wQB2tH1wzVwFLNQ2GYkiRPSPIEW3eYROF8FI40RTz/HKLVBsNgJ7e5/uozyP23kY88Agvi3KbbZG9wVCujCAVf9+lN+vi+h+97ZHlOFIZYuc1Lb72KIgS+69Mo1/E8D0Mx2O3vk+UZi1Mxha3x0a7QXHwvoez6GLrGKBxjqsV+jl6nEq2wOxV5t5ESmjtNTpSb7Pd68+Ou2TaazEkVhWt5gpx+V4WUhSBDCDR19cqupqirs1oA0zDWCupVVaU3WN9lSJMMkBimjmXoGK6JJhJQM0wJEzUnF5AlEYljEDmSNMvJSAmyCZNs9QiRrmv0J4O1GhHfdeiPesUTTSsMAzRNQ1NVNFXFNS3iJEdgFWQnLxy2kjgjDFNc21oq9IMgoNPtUKlUcR0HXde2EoFJsMUxa4shgOfaWwlLvMUyuew7G13OAIItVsTlsk1nOpYWRTFRVLxec+B8o4FlWKRJyrvvthkOh3Q7XQzTmJIXG03T8D2L0RYHsVWFn5TFdz7Lc5o7za02wyXfXkl6Du10y3GwtlsUBglh0KNac8lG4Ubb5HWF7KdFcD8jK/fddx9nzpz5pA/nE8E64f5iF2b2ug9qm3xcI2E3Y7r0WcNtwnKLodvtcvnyZXZ2dnjwwQc/NJv/rBCWOI65fPkyWZbx1FNPYVkHtpaLAZkf9Hp9EHH9lf4Vvnr5q0skRFM0ymYZVVHnyfR1u04v7JHJzZ9DxaosaUxcw8XRHbIsox/3yfJsWtTbdCbriQEUAYz7k/0FC2KBa3iFvgLJJJ6AkCioS3kpy9cExsMReZBjlk1MqyAAURYRZQfFiKEaeIZLnMXU7BqaopLLnDiLGSeTohtiVRmEw7XXwFJtVKHMrY8Pw9O9QlOSHBQWorWPaHegUmZH8dmTAeQVRK8Hu3vI6ThD02myPzh6vYSAilk5MnrmGg6nSieRuaTRaNAddukOe7x1420sYYEqMEwTy7RQe13E/j6lVNB1r8HJE7AQIli2S+RZTqNUnH8/7EMIFbtCq79izMwu0er3SLOMdquFpmnUajVM3WQ0CWhUKuQypz8Z0Kq6qK5BbThGutPVtjyHOCa/+xye7dHpr+6uVL0y+2sE9SXbY3/SW/N3hdheVVVc20TXVFSt0CcpimA4maBYOXEeEEcBnKyi2jokAVXDpguQpoAkP38Hcvp7s02T/miDO5jr0YrWj4NZprFklZzlOVkczyNaDV2n1Vt9Tuhglx2koaNrGuPRhHEw4e67z6JpJpNJTMl3NqbC29ZmK2KAINxcwNuWsZGw6Pp2y+TtYZDbj3PT6NxoEhBEMbnMKTcszl9oQAbt9pBOe8BgUHw3VKVGGMki82XNMQWHCF4uc9qtYlGh2WxSKTtbdTLbgitvRvPj+zb9LeGWmqocsU32fAvbtwrtyzBYSVhNU+fOc/Utx/jJo91u8/3vf5/777//I4kE+DRiW/dl0TZ5Rlxupv44rpGw49CwfNrwuScst9JI2HvvvcdLL73ExYsXOX/+/LEc22eBsAyHQy5dukS5XOaRRx458mNfXBH5IFh3A9qEyzcu8++e/3dHuiCH0+RPe6dJZYpv+vSj/sqQUkUpAiAPC8zH8ZjxVP8hhGDH2SksitNwY+DpjrtzMN51cJaM4xHjuHjglswSkiK7xdEdwjRknIzn3SGZS8b9MVmS4dRc9DXjLrZmI1Dm4vcxR4vOE+4JwjSialcQotBZZHlGksVEaYypGqR5viTaX4RvlIjSmDg9tNo6HIKAHTElK8XFLNy3el04d24qvl8mK0KAoZnUrBpxmrDjN8ilJM5igjjA1A3ao86Bu5kKlUqFHW2HNMzojfqMRyPiF1/Ev3EDK5OkGCBAufoezpN/ArtcIc9zJmFE/1C+jiZUovjoyrEQAplBksS0Wi0s2+bMyVO4loUqNG50WwSLq/yui/fwY3QufR/RH8wdeWWthrx4EUu3GK0Q1AvEWtthRYilzoth6Di2OXU/ksg8x3QVojhiEEXzzB6AZqVGEB7ab61G/sAD2C+8QG9GSIRA7pxA3ndx/jLPdghWhF3OkKabf9uj8eaCc2PuCzAOQobjgNFoyHA4pF6vExJDGoMBmu1S3THRFBWkIIlzJpOEOCo6Hp5rb+xc2FuyVWC7FqPkOWvtjGcYbXkPz7W3Wg0fFqgfxqwDI5F0p4RYMeHshQaOaTEZh0zGId1Ol1xKLNPCsovRMVUp7t22rTNe0JVkeUHQFUWhXq8jhLLVQexmjtX3LYbDza8xzO1l0KrPdjQM5+Gbnm9iKgp21WEwjuY6onvvWm1/fSthf3+f5557jgceeIBTh4JYb+MAxxVamef5sWlYPm/43BOWWwF5nvPyyy9z/fp1vvjFL1KvH9+KzKedsOzt7fHss89yxx13cM8996wkErN/+yDnuXjTudn27jff+Ca//cZvryUMMBvZqXFtdDCnrykaJauEIpR598XQDCzVWhLTr0LZLNMNu/NxKk3R8A0fTdEKDUU0QIhCQ3KUrCyjZtemGpflAkkRKiWzhIbK3u4eqlSx687aVcySUZpaJ68vKppOk93xHuvskUqGT5ymgKBkFtdGU9S5iYAmNLI8x1RNpCEBiZSFg5BilPBCnXFZUqfouAlAJGMwKyj+KZI0peHVyGROlqfEWUKURpQMn+uDo+m8ju4wCaMjVsyKENiqTV8MKPk+JSEQ3S65ruMaHnGWYgHJ3i79l77P8KGHaDoNgvjotak4FVr9o6NjdbfG1d09ovGY86dPo9sGk3iMksB4Eq68hsoDD5PZLuL6dYhjqFSQZ85ge2Xa/TWWxP7RxHshwHNsfMclTlLSXGcShcRJQBwEEEDJ9dfaAgshGI5Xb5MPPYR71z0EL72CyDJkvY48ew60g4f2pu6Doev0hxvcwVxnY7ZJyfM22hk7tsVwHNDv9wiC4Eh6vSIE7V6f9LCDmQK6r+FYFoYFjR2POMoYj6IjAYPbCI2ub9eebFu/KkbKNhO3VeOqi3Ack8kWEjAjHYcRRhFhFKGoCoancX/zPDKDbmdIuzWg1+2iG8XomO83kEgEgizLaLX20TSdWq02v59vchCD7WJ6mCbTbyEsM9K5DoapMboJe+bW3qwDKClVXUzH5IF7b20CsL+/z7PPPsvDDz98JMH8Ntbjw4RWHoet8WQyud1huY2PH3Ec88wzzxDHMU899dSxCalm+LQGRy46pD388MMbV36EEB/IDe39iuvTPOU/vvAfebXzKg2nwSSerOwK6IqOa7hH8kXSPKUTHBCThtOYEw5FUdYef8Np0A7aSwTpcCdn5j6W5Rm+6S9rZRawKTQylxntUZuoF5KpOaVKCV0rNC66qk+7EBGjeETZrDCKhqT5+u/WNuvmsllhHI3nxClMgyPbu3HvCLGa73/nFO++9SpM2jD73YQh6Cn1kyfZHeyyqsgvXMSOjojpigG5WKkdqtl1WsM2AoFrOTg3OhBm6PUTXJcRUha/M5nrpO++S3LiDrqyj23bmKY5f0CV7BKtQW9p36ZhUrI8+v0h3X6LUqVEomYkcXE9DMVgJI8WomWnVKSc1+vIQ4scrrm+Y5GnEt+1MU0DoUiiNGYUjBkmQ0QIgxnxkCD294pOlm1j3PPAyv1BkZ+yKUgyrNWRjz22krZ6jrOx0C67HvsbTCNM04ANhMXcklnlWibvXb1OHMc0m80j9r1l31trp5ykKeMgYDAaH/w+DXBtG9swEVKQJEdzeg6j7LsbHchuZrTJto2N11EIwWDLSJl7E4RlWxdn5kI2I5mqJTh7VxPXNBmPIvb3+ly7dpXRKMU0DaIowjRNqtUDsnJTYnpvezJ9mt6Es9eW9/E9i3a02Z55GYLBVLh/7523rp3x3t4ezz333G2ycgx4P6GVaZreMrbGnzZ87gnLJzkSNhgMuHz5MqVSiS9+8YtHHpTHAU3TiKLND6BbDXme88ILL9BqtW7aIW1Twb8K75esjOIRX7v8Nd7qvbX0747u4OouSZ4wiAZYeiHqXRaOH0XVrtILD4pxVahUrAq6ohOkAaPp6FbTabI/2ZzXYms2ilAP3McoMlZ8w0dVVMI0ZBQNqTsN9ifruy9RFJH0E6QFJb+MEAUxOqxxadgN4jSmbJVRhEqWZ4RpQJCE81XTurM+QwWgatUYBIO1mpaqVWUQDclWESI5vS55C3HXBcTbV6A7JW+6Tu3Cg7Q8k1Vkpek0VpIVRQgczaYfLFjyUhT+vumTpBkVt8woHDGKx4yTIRUBnTwCUdxHNE0DXcdTTSa+TzYeMhgMSNMU0zRxbBsTCwVByfXRdY0wjhiEI7Jewjs3rlKr1Zb0WRWnTGewulgXcvUqnambdBacwWzTwrVNhCJQFYX9XpcszxkeqvVKzkIHJQxR/tf/Quy3IM/Rgf4zL8CTT8KK3+MmW23fcTeOZNmGyWiD89U2oflosrngXDf+BsV94N2r10iShGazubKQ0NZ0FGYo+y7tQyGa4yBgHBTHpakKUoJbM7GNwuUuDnNGw7BwOYOt+Swl393agUm2dCTKZYdeb7NA/UgX6RBupgOjaUevVxzHxNMxyOoJh7LnMxmH3Li+Ty4lQRCSyzb21HWsVi3TWeG4tYh8S4iooq63TZ6h7Ntbcm+2d7ZArrSaLpVsTp2qbvvjTwS7u7s8//zzPPLII+zs7HzSh/OZwmL3ZVaTLI6OzchGkiQf2DZ5PB5Tq9WO/dhvdXzuCcsnhRs3bvDcc89x4cIF7r777o+MOH3aOixRFPHMM8+sFNdvws2e50xc/36cwK6PrvPVy1+lvULoPkkmTJKikKjZxQqhgoKUcinDZBGrOiaZzJZIjqVZ1OwacRZjauZSYv0iSmYxljV3zpoiyeJ57ooiFBpOkySPabo7pHnKMBqSLrh1jccTGEuEq+K567t8TXunIFAragVFUfB0D1f3yGRKw2mS5kmhDZmGRUJBeNqT7souDxTXsRf0V4+vyGnnZlR0r+S5c8harRDaS0m1eZ62LlYGX9btGvvDo6N3CoIT7gniNKHp15FTPcs4Ghc21P39I/vTag0SzSAPA5gFlkqJiCLsu+8l0BTK5TLlcpk0SVGkQE0Eu7s3SGRK1zKxLQtd10mDlBvd3SOjSEjI1mg3Km55pVuXqijUvTKJnZHJlFE4IUjGBFP9SM2tHhl3m8FQDh4Hyve/j9jdLc5N06gmOXu9Hsof/zH5//F/LFVxhmHMtQyrYBnmWhtkgOEG/Ym1RYy/bRzMd521mTF5ntPv9UiznGZzvdZgMN5MFLah7Hu0e4MlEgOg2Aol28bUDUQGlqWvDes0jc2PalVVtgryty2IKepNdDUcayth2eaW5ro2e60OrWm+zYUzp7B0nckoZG+vT6/XI53aJtuWhW4YiCPG4nKrbXKpZNPrbr4mW7gowNZxMM+zVr7m4sWT23f+CeD69eu89NJLPProozSbzU/6cD7TmN1TFKWoCV5++WWCIODixUK/90FtkyeTyW0Ny2189JBS8vrrr/P222/z6KOPfuSt2E9TcORwOOTpp5+mUqmsFNdvws2c5zprwk14qfUSv/Lsryy5U63CKhLiGi6O5sy7L7nMb6pjoqs6pmpybXigf5k7huUZg3hAmqXU7Br9cEC2ZmQKprbFhruis1K4htmaRafTRR2riJKCaRkr91MQhZ2NGSuKUFCFwo3R9RVbRUHCrBpRGtNw6iAKcX8uM1KZkWYpjubQCbo3RVYOLo6LdN2iazUZzolQoYfRMVQNR3fIU0nTK0anpJQkeUqYhpSNMtcHu4ffDVu3mUThSvLjN8/SvXC9CG6MIqQQiDynXj7J3umT+LaHqRvkMmMYjjA1k/EkpCRNstfeQVy/TpblDGpVlDN3UaqWjhSUdb9Ge42zVZ4Wx2TpBp5jI4QgTCOSNJ1aLh+9fq7p0Bmu7taYmkF7RjqCoMhIMQyYHtNY0cC2Ef0+otVCLhQ6Zdtlf01HUQixkVBUPJ/eYP0Kt287hGuyYqAwBdgEcw1ZKnQTLRrVCoq+3snKd50j+SyLKNLtP5hzV57nDMZjSt50HwKsioFr2ShSJQwShoMQEIQrEtQXUSm5W+2Moy1i+5Jn09uSE5NuWRS6GRcyIXP29/fxfR/f94njhDhOQED9pI/nnkBmGa29Aa1WCyHEPO/FtKzCirxkT6/NeugrOj2HMd6igfE8cythKUbxjr7mgftvPbeta9eu8fLLL/OFL3zhWLWyt7EZUkpeffVVWq0WTzzxBLZtf6jQytui+9v4yJGmKc8++yyj0Ygnn3wS3/c/8vdUVXX+I7iVsbe3x/e///0P3HHaNhK26Kc+e/02/ME7f8B/e/2/4ekejuasFKrDeq3GosuXoRrU7BppnhbC7mR1kTNPuD80s7+4LwSc8c+QZCkls8QgWk1abM1BEcqa8TTJKBry3o33MHMTvWpgGSae4WGoBrmURFPnMCEENau2kawYqompGvTCdcWlxDd8rg1XkZkCdbtOe9xBItFyUBQNVTdQhVJoR3SPIAmo2GWQYh6lnecSR7cZhRNMzSCTOWmWkMuMOMuw9BKd8WotTMNpsDdcnc+ioROsyAUp8lY6cO+95OUK2t4efgb2zkmC02fRyBhGQ+ZaXwm26iCjCO3pp9HbbaSukyQJF96+xt4goH3fRXq93txRybVdxodGnQQC33FwLYc4SbGkThgHhAsFddOvs7+gbVqEbViMg9VFXtnx2Zv9XRwX9sjTbk9FCnpQuK9lGRwaMZ1sEMxXPZ/OGv0HsDHBHCCKNxfq685nhsPWuVDoTlqtFpZpUqvX1+bRQJFJs6k7VPZdehsE/bC9Q7MYOBlGMWF0UERrnkrF9xBSQdFshv2AfEV3c9v90rSMjcQLWOsEOIOibB+x8lxrowtZFEW8021RKpVWFlxSFmRyEkRYvsmFuo+uqYwGE/b3+nQ6HQzTxDTqpGm+sWu0zQ3Nto2tOS/ryMgi1pG4i7eY4P7q1au88sort8nKxwwpJa+99hq7u7tzsgIfLrTytq3x5xQfl4ZlPB5z+fJlTNPkySefxDDWrGQfM271DouUkrfeeos33niDRx55hJMnP1gbfdNI2PvVq+Qy59de/jX+4J0/AJiTC0UoVO0qmtAYJSOiLFppR3wYpmpiauaSxmSmfclkRj8qMlZuNuG+aTe5OjjIaxFCoWSWMTWTNEsYxiMc3SbKIoI1xCjLc/rtHpZqY1YtVFWZH8vSsStmYYEsoek2iLKESTxeKv5t3UYgGMbrV3ibzs7G69SwG7TGHRgNEe+8Q95ukwNJs4k8fwfNxnluDI+6egH4ZonWqLOSkDiGSxgnK7dVrArt0erivmZXaa3Y5ht+oXfwa0gpCW2X0ckmXQGpXmIQHC3Om14RHCmuXkV0OuS+T5gkWLrB2DMwhwNOJgnxqVMEQcB4PEZOcjp5l3qlRqnkI1QYhWMG0RApYRisMHtQdbrD1Z+BoRtrtTCKEPQWi3bPA9MsDAw0DVVOfy9xDLqOnAa2ApRcj8GGgh/WLwwoQtAfrSczjmVvHvfyHIYbuhuec9Q1K45jWu02rutSr1U37h9uIgxyi6C/5LkMNoy0AUsE5TDSLAMh2e8V30XVUai4LoaiE0UZw15BYLaNR/mutbXDsu1cS6XtGph8FZuaIghD+v0eJa+E46wvthzHmB9LFMdEMaAJTpyt4lgmcZQwHo7Z3eujadq8+2IsZL4YpsZwC9EoRPubr8lht7fDUBQYrMhwOXmyTKVyvAY6Hwbvvfcer776Ko899tjnUvvwSWE2UXP9+nWeeOKJjaZK78c2eTAYfCwL3rcaPveEBdiYaXEcaLVafP/73+f06dPcd999H6sv+61sa5xlGS+88ALtdvumxfXrsI6YLXZWboashGnI15/9Oi/uv3hkWy5zukFROBiaQc2sIRCbE+4Nfz4StohF7YsQgjPeGRKZkMucNEtXjiEpikrFOEqQpMwZRP15JkbNrpPmKSWjRK7LglwtWA8nacqwM8Q2HKyShVBWXxNDNTAVk/3x0Q6EpZnYuo2lWsjpdctkTpSELI2bzwTyG8hK026yP25DMEF57jnEYIC07UITcuUKO/2U3S/osGL8xzd8wjhcSUgMzURmEK/Q/3i6xzgMVv7uZx0U27CwjSI7QsqcNE+J4pQgPlqgNJydleGUtm4fjGF1OuRAGCdomsqO5rIvs8Kzv9Oh/OBDnKzvoCkKg9GYVr/N/nCf91rvoaoqlmVxpn6KwWS8UghccUpFYTuZIN5+G9HpgGkiz56ldPEhWmsCQqtehXZ3gcyoKvnFiyjf/z7WaExHNYuwxyxD3nNPQWjm13h9wa7r+kqdzfx9S6UjYvVFePZmvYSlGwxZTzgc01oKYgyjiHa7TalUwvc8yr6/fN6H4NrW1E56Pbblv2wbWbMtc6vr1qLDWJbn9BZIqeoonKhWyBOIQpVhP1z5nd5EJGbHsW2Ua5sGRgixtoszCQK6nQ5333WeMNxMAtYdap5LRpMQVVXQPZN7amchlwwHE/b3u0VGkGVhWxbVamOrXfG2ayIEWztKBYk7+h28/75bZxzs3Xff5fXXX+fxxx+nWr01TQA+q3jjjTe4du0aTzzxxPvqiGyyTZ7l9b3xxhsfyTHfyrhNWD5CSCm5cuUKr732Gg8++CBnzpz52I/hViUsURRx+fJlpJTvS1y/DodHwj6IuL4TdPjlS7/M9ZUajAPMSEgrOCjkVyXcV+3qVNy++cHZdJpcHR10THRVLxy+hMo4GTNJJgcJ98HmhPuG05xqaZaLAlt3cDWHMIq40b6O47iYnrnWAWcWCLkueT5MI0zVohW159kwUGQ0OLqDpuhoioqhGgRJiG/4RFlUhD8uvGdBVorrKG7cgMEAWa3ORd1Ns0arex2xV0OeXf79uLpDnCYrO1KqomEKk2F8dAXfUA2yvAivdA0bXTPQVA1BofkZBiNUTRCkwZJxQs2uEazoIpXtcjEitgKWahHkRVGcAiQJuuvS0CwyKdlRVLJMMrSMOYlteHWCNMR1XVzXLTo5YUQUBrx39RpBHBWryraNNbVMVhWN3mgIgyHqH/4hjIbFNZQS/Z13GXaHcP/9K49xVWEn771IrqiUXn2DvfEELIv8wgXkwj40Vdsoti87Hq0NdsRbIkEYb1zxlwy3jFot/v2sYK5Uq7jTVc5ti1SOZW0MJvRde+uY1ZEgzUPwnM35LIoQGzUyWZ4jZc5+vweA5qqUPBcVjWCcMBqEKNeuMnq+izAt5J13zkf9FuG65sYsHIBwy/aSb68U/o/HY3r9PrV6Hc91CcP1JPZmrJfLJYdOdzQ/Xs3SOHtnE9vQCSYRrf0+77zzDmEosSwby7LQdG1JuC8EDLeRkbJNv7dljM5YrZO5775bYxzsnXfe4Y033uDxxx+nstAZvY2PHm+88QZXr17lS1/60oce35p1X65fv85P/MRP8GM/9mP89b/+14/pSD89uE1YPiIsdg++/OUvf2I3i1uRsAwGAy5dukS1WuXhhx/+0J7ksDwS9kHE9W/13uJfP/OvEULQdJtrM1bWkZDDuSin3FNkZHiGt7b7MguXPBz0mGTJUl5Lza7NAxQtzT6SVzJD09lZa1scJBNa/RbpIMEq2Tius6BXyZkkk3lx7us+cRZvDIQsbIeP2hJnMmMYD1GEQsWscnV8bWm7oiiYqomu6niGR5zGNNxGEfg4eAUUh1zYZOS4UqevJNhSIRsHZJox/0xN1UCgkRNiaiaKUFCEQFVUFKHgqC5xGmO6dRQhkEy/FzIDqTCMRuQiY5xOIC0KJFuzSdN8JQFquo2VHRRN0UjibGVHrOHWafW7RQc3ycEvc1IzibMUqUk6IoUoQhiC/EQhYvdMl/ahnBYhBLZtca55mv1eDzeOCcKQ4WBINy1m+s/WTzFOIoyXX4LhAHx/Tvpq44i9l1+GM2eKf19A2fHpr9JgCODee+hefJBsOARdRzMMNE1F01RURcGxbOIkmaY6z46V+bXWhaDZKB3d9/R7IHNJo+kXn8907EzmRTioIhSiKMf3LJIsJ4nTpfGckutuHOfybHve/RiNx/SnBbM9XRjRVIX+BrE/QLRF6G6b5kbC4ljm1g5Nkmy+N5d8d6MpASzrfNIsozMjkWGI8//+Ls0b14nQGWUawXe/S/6//+/IQ2Yv27oNlmUsdatWYVU3aTQa0R8MaNTrmOb2blKpZNPvbyYsq4JssyxjFGQgoNL0KZdc4iCm2x2xt7+Hqihzkm8a5k2J9g19+3MpXJEDo6qCe+/55HNN3n77bd566y2++MUvfqjphdt4/3jrrbd49913eeKJJ45NHL+7u8uP/uiP8uSTT/L//D//z7HUTZ823CYsHP9IWBiGXL58GeBYugcfBrcaYdnd3eXZZ5/lrrvu4q677jo2DdFsJOyDiOufvv40//6Ff3+kUHV0B9dwSbJipKvu1GlNWlu/K02nyfXxQZdGUzQqVmWpY6KpGp7uHQmXPIyyWWYYjUiyg1VYRy8cw0AyjIttNbu2lqxICpKohgp21cUw9ZV6FV0xaDgNsizFUE1UMWGSHC3I6k6DzqS9skgHUFApm+Ul0jVDLnOCNMA3PK4NlsmMMDOECEBY7EiHa2JSHLySIXWBnF4DUzORwHiNZqZuN7i2IsUeoOHUaU1WWRsraEIjyI4W777p01phhwxQsatL3RVFCDzTwTJMyAUl1+Xq/nWGwwH1C2doEXHitXfZDzvFeq+mk99917yA1FUDuULkrSAYT0IEhY2wYRiUSyXSLCOJInZbLcajIafefRdl2i1SKHwJhpZdaIN295CHCIuuGniORNdVVHVG7IvupKEbDMZjTNMhSRNSGRVdoilXz5WU4WR1cenbLq1Rb+U2gGalOu8KrNveXxxh00EYAkPTig6ka2LYCoUVgUDmkiTNiKOUMEpwLIvhOGQ4GDAajWg0GpgLusFyyd84jmYa+lax/CbtCYDj2BsNCVRN3aL/2e50pesq/TXETflf/4uo0yHRVfY1HaTES/s4//O3if5/P89gnJKmeSGm3+J05rn2VhH7InGSFK6Po+GQZqOBYRi4rsV4i65km/AfYDze3umZnY/tW9xZ9dBVhfEoYH+/R5JkSFklCCSWZa0t/KItI2W6oa7UDt15ZxPT3DwK+FHjrbfe4sqVK3zpS1+iVFq9aHAbHw3efvvt+bU/LrLSarX4c3/uz/Hoo4/yb//tv/1ckhW4TViOHb1ej8uXL9NoNHjwwQc/8S/WrUJYpJS8+eabvPnmmx9KXL8Osw7L+xkBA/idN36H3379t1dum43oCAQ77g5JnlC36wyjIVF29KGpKRols3TEtvhwwn3NrmEoBnEeoyrq6nBECiF6YfG7vH2SjJlMuz+aolOz64CkbjemnZKD4kNKSafbxZEuelVD21AQlEyf3dHu0midpqi4houuGNORKY1O0F1LVlRFw9e9udZnFZpOk70VmhbZ3EFcv87OIGPPm5KV8bjQYTSLxGhd1dGFzihaXeg1nSb7K4IhAXa81aGRUHwmrc4NxI3r0O+DpiNP7KA1dkjTbCVJrTtVsiyjWa4hZU6YRoyjCYNkiKYZtActer0uYRTRbO6g6xraw4/SPnmefG8XpEQ2GjCdK6+6FbprbIfrXm0uvF6EpqqcOnmO/W6Xku8VxD3LSOIEgWQHlUzVqOc5wrHIqmWyPCPOEhQhaI+nxHNFbVZ1yozC1dfZt92NI1mWbm1019rs/rV63EtKSZQkRHFCkqZE8ZoC2hQkSkgmxmhGygMP3YWmGqRJRhDEhYXulvUp33GIok3ZMsZWwf42d8aK520kTbA59BIKUX+7s2IfUYy48g4IwWSWryMEI01nlCbkrz4PF+6iUnNxTYthP2YwDAubrhVYl90zg2Ho8/BECQz6fSaTyVK2kG0ZWwlLtCaHZgbbMraaA1iWuUQkkjQlSUHoKifO1HBMgzzPGI173LjRRdf1efdF13UEAk1Xi+uxASXPot05+vu4/xO2M37jjTd49913+dKXvvS5FGZ/krhy5QpvvfXWsV77TqfDj/3Yj3HvvffyjW984yMJGP+04PN75h8BZmKoe++9lzvuuONjcyDbhMXOwyd1PFmW8fzzz9PtdvnBH/zBj2TFR1EU4jgmTVNUVd16rmme8o3nv8HT15/e+DpVUSmZJXbHCzkdolh1tzSLOI0ZRAMMzcBQjZVdhUWUzBLDeDjv5gghKJtlTNUkyiIG0QCJXHDVWl9ZWZqNpmi0DhEkS7PxDJcsy3n32jv4io9a1laOUszQtJvsT1pH3i7NM/phURDtuE2uT53ODNXA1m10tXjAZ3lGmiUI1A3WxlsE+I06zXsfZ+/15xHdCCkAy0LefTeUCn2QrdoM1szAbyIrdbe2lqw0nQb7+1dRLl0qhOoUXQbeuULt/i8yuecu6l51Hv4VZzFJljKKJ0Tp0aK55tRo9Tt02m2yLGdnIUG9bJVplTIoLT/MBKIYD5pMIIzAc4scFEATKv3xauKgKipRnFDxfXRNQ71wB/krLxP6FhMhCWMYhQMwoC8SjBvvzleVm359LalwDZvuaEMHQlsveBdC2ej+5do2gzXnA1DxSxvHoMq+t3GcyzVNXr9yhSSOaTQb9IOF74sCZskgU2PqOy4KClkiCaNkSeC/LW/Ec+2NHRZNUzfaJcP2BHXPsbYSlrW3hzgCJI7MGSorHvNhiJSFgF83VAZJH93TKTsuMlMYjaI5eVAUsdGNDcD3bdrtAZJi0S4MQxrNJvpCcbUuBHUGw9A2hohCYZscbOn0JMl6oiilJEwS8jynVPPYOVUthPv9Ca1WCygyX06dqpHEOUKsv2eKNd37+y9+MvoVKeVcN3Gco0i3cXN45513ePPNN/niF794bDVOr9fjx3/8xzlz5gy/+qu/+rG5y96quE1YjgF5nvPKK69w7do1Hn/8cRqNxid9SHPMCqUsyz4RZh5FEZcuXQKK8TjTNI/9PfI8x/d9XnnlFVqtFs1mk52dHcrl8kriMoyHfO3y19gd79J0m/ORr8M6E1uzURX1aLdAMs3ZKAqhqlVFUzRycgzVIM5WP1Drdp1e2FvSfUi5nLliqAZNu0mcxXi6yyhZXZjNhP+jFWNRYRowDId0Wm0abhPd1ylZJXRFJ8sLjcmiUL7pbA6ELF7TWOqKxFm8dJ6GamIoBqO4j6maWJqFrmrFA19KMplhqCadFeNYi8exe0aB6pcR/R4IBVmtgDkNi9N9emtCBBtOYy1ZKVsluuMVfyeh6lQIk5j6uzfQ93pQa5CrCikSpz/h+svPkNVcRt6yaLJm1+lEqzoeOsPRiP39fRRFobnTRJl+B0u2T2uwuvNU1x06//O/o167DlkKhjEXuVdLDXqjIWWvICVCFFqhKI1xDZu93sI1ve8u1NZ1GA6opYKOEOiqRnLfRbRKpRBAT/NeJsMA3TDQNO3I78SxbMZrBOOqohYC/zWoeSXavfVkxzHtjdoObVWBvQBdXT9uk0tJv9cnTROaOzuoK4pKz7YPQjIXoNoKrm1jGyYyU6goDuNJRBIfJS9pupnQlH13Y/dECEF/Cwmwrc2ERbBhlMt1wTTxJkMmi1k3sw7KwjNqlveTpAmtmX5KgF93sXQLVajs7q5fhJi+HCmh2+sSRxHNZhNtYbpAVZWVgvxFFKRnc/hluqXToyrK1vG2ctmh0ynuq7NATt0xOHehiaHrTEYhvX6HdmuCaRqFuYVlHckMWvUdth2D8+c//oyTmX3utWvXjnUU6TZuDu+++y5vvPHGseqFBoMBf+Ev/AXq9Tq/9mu/9pHUTp823CYsfLgsljiOeeaZZ4jjmKeeemqjz/YngU+SsHwU4vpFzJzAsizj9OnTnDx5kk6nw97eHs8880whoG82aTab1Go1VFXl+ug6v3zpl+edkGCq0ZjpTIQo8kQs1SpyTFZY2C6iZtWK5PmZCF8UXRRTM+fdl6Jj0mQ/2N84iqIqKq7ucXV44Bhmaiae7iGEwjgZFcGJVpVRPCLNV49PRFFEr9Njp3ICLEFOfiQ80tZsXN3FVE1G8RhNUUlXjKYJBHWnVnRf1sDSbBQURlNHriiLlkfmphkusxwVIQS6YmCoOpqioSgqtmoRZwk7XgPpQt48C3IqlEdiqzbjeELJ9Ke7lAvvb5EkGRWnjBCFHgUhChG+UJC5QHd1kJDKjCxPibMEVSiM44A4iVCuvolwVaRWfI4lqbHrG9CbINot5AJhqbt12sPVxMNVHF6+9hqmYVKtVpdW0WU27dwcgqpojL/zHZT33sExbUzTQYsi5AsvkVg2w/ssEiL6hwiEoqikh0Xbvkf2w38K8c47ZK0hUleRZ8+hnNjBB3zfJ8syXNXm6t4u3V4PRVGwLRvLtjBNE11Rl6xzD6PqlWj1emu3b4t9Gk7Wdx4URdAfru+eiA3ZLVme0261cEybZrOJIhTElSuIV19FDIfISgV5/32wpqDIZM5gMsYw9ANdkgJWycQxLTShkqaSKEy3dk+2KSJLnrO1gI+TzeNRpZJDf10yvaKQf+ELZH/0h0XY59QxDkCePVuMIgKObTFZE745nIwZMqZRK6M4KWXHQ0VjNIyOOJv1B2M6nTZpmtJs7hzp5pZL7pwkrMO2p7AQguGWa1YqO3S7m99nFYkFSLOcNItAE1SbFaqNClmS0W0P2b3RQ9Nmo2MW1Yq/MnTyvntPfqyxBXAQTHjjxo33bZ97Gx8e7733Hq+99tqxkpXRaMRf/It/Ecdx+PVf//VPVAd9K+E2YfkQGA6HXLp0iVKpxBe/+MVbcrZwRsY+bh3LjRs3eO6557j77ru5cOHCsY+jrRLXK4rCzs4OOzs75HlOr9djf3+fl19+mSRJ6Jt9fq/9ewhdHHmoLOpM6tMck7JRJlTDIxkqMzTdZqFXWaxOJMXrp/W6qZrU7BpJnmCpFuEa5y1TKzoU3UMjZVEaES3kiJz0ThbHZpaZpOM54ZphPJkw7o85UTsJGxZkoizG1uwFO2WBYzrYatHNSPKEMIlwDIfWZL2VsqM7yFwySdcUElOyspjlUoxVRcRTUrPj7nD1kAB/BoGgZte4PlxtNV0yS3Qnq1PsVUXDUmzG8dGiThEKpu4xSYezg5pXTJoUZLkgY/pPC5+vrdv0x6uLeUtYvPTGq7ieS6lUWirAZuGRUGSX2KaNPh1dNNs9BrvXSDyLsaEzhiK4cZLRfPlVwvNnYcW9pe5W2O+vIE62jf/YE3TWBBaqqorQNeqNOjKXhFFIGIZ0Ox2khJO1JmGWYlnWyuJrk/7E1M2NZKfilbZu72ywSq64Ht0V2S5pltFqtSi5LrbjFc5lL76Icvny9LMViPEY9fp1BlECFy6sfY/Deo0wjgjjg99gvVwhVcE1HTRFJY5yRqNw3nUpgt02ExpjS+CkrmtbSdGmDBwA5aGH6KgqfP/7xaihpiHvvZf8S1+av2YTYZkhCGOyLDvIEwK8moNt2CRRTp7lvPnmu+R5XhDFFd+ZTeOoM8w0MOtwUw5iN0EWtjmVuY65ZGftVhyqzRLqlDC19tukyYgoLsbHLPPgd/Jx61eklLz66qvs7e1tDSa8jePH1atXefXVV4/VNnoymfBTP/VTCCH4zd/8zdsEdAG3XoX9KcHM7erChQvcfffdt4ReZRWEEB+r8H5RXP/oo49y4sTx2zveTL6KoijUajVqtRoXL17km698k//6/H9lEkxIkxTDNOaryout/lUkxNRMfMNHSkkv6pHneTGCtCXhfpZJspjr4hqFw1eap3N7ZN/wSbJ0PmK2DjvuDjdGy+5XM70KUnC9dY1wGLLT3Nn4y9aEjme4dMJFciSPiPk9zWUSj6naxciblDlxFjNJJqR5hme4JGm20oCg2KWkOUhpPfttlCBAlkvI06dhYb636eywt24cTVI4s41XEyZHdwiTaCVZEQhKRkFmVqFm12iN2rMXI0+eQLz5Jtg2ldymRQxBiNR15EIytKmaBCsIbBREtLsdSqUSnueiqTqOYWJoRRcpzTJKnksQhwVZm7pH2YZNZ/c9kCkYy8WGqRm046BInD804qEoKv0NnYpNY1U1r0JnUJyDUAS2bWPbNrJSIUkS8lQyHA7pdroYpoFl2di2haZplBxvY3J72XHZO9TNWzqubYXrltbEqmI4SVNa+/tYts0dZ8+x3+1BFKE891zxgvkohaQ6CWhfugTnzq0kgZqi0t8QdglT8X8cL4v+NXB9G1s3MVWT/nDCaLT+nrvN7rjkOVsF+dv2US55dC5ehHsvQhSCbsCh67/tuWBb5nxkbBGjYMIomBT34STEq2qcOXGG8TghXJErs80S2fdthlsIy7YQToBgiyDfccyNYaQAtm0eyd+Jp7oYzdI5fb5BuezQ74xot0d0Ox0Mw8SyLc6fq2w9xuOClJKXX36ZVqvFE088gW3bH9t73wZcu3aNV155hccee+zYAjnDMOQv/+W/TBRFfPOb37w92ncItwkL728kbCZse+uttz4St6uPAutS4I8bH4e4ftZZuVknsFzm/JeX/wt/9N4fccfOHShCoTPuMBgPCMKAfr+Ppms4tsPpymn2xntLAWOw3OXQVZ2m2ySTRcbKaEUwIRQuSZrQlrJZAMbxeL7irwiF095pcpkzZrI2X6UYy2ocyWuBQq8SJBM63S5GbnDy5El8uwidjLOYYTxc0uaYqomhGvTWpJ7DLOHemovnw8NJ8QIadp1cgm0pIH1SmRElIUEaFuNaEprX+7Rf+B4iy0DVUDod5I1d8kcegXqtIIcbtDPF9tWjaIZqgBRFEOUK1J3GASE5vF+nwf6hbfLOC8h2h539Mfv6GJHnReL7XXfNBfJNt8H+1N5YEQJLtzA0g8loRDTJOXPqNIZVBGUmWcwgjiGe5rGMVmt3XM0hsMxiXDJJlkL9SmHGvqkvFNwL57euu0KR5dIZrNccLOaZLEIIwU61Tm844oR1gjRNCcOQIAgZ9PtomoZShyhLMAxj5QjPJs2Fqqp0N3RXdE3buF1TlCPjYlEc02638VwXv1Sa627E/n5xPZdEqgKhGxAE0Ost6ThmKPse7d76a7fqGGYYBwHjIKBRqTBKh+iehmc76IpGHGUMBiF5nuM59tZV/m3W6a5tbSUsc3I3Na84ci6qsrWL4znW2kDJLM9ptVr4ro3terTHxffRrTo4pk0cZgz6AY5tbrUitkx9K2FZRYQWYVvGxqBPKLon2wjLtmdlYdkckCuCatPn1Nk6MsvIs4xXX32Od96xaDQaNJtNKpXKRzIiJqXkpZdeotPp3CYrnwCuX7/Oyy+/zBe+8AVqCwtaHwZRFPFX/spfodvt8nu/93u3s3NW4DZheR9I05TnnnuOwWDAk08++amxDPw4Oiyz7BkhxEcqrn8/tsVBEvD1Z7/OS62XAA4cvBQ4Uz+DoRmMozG9UQ9iePndl4t5ftvGtmwM01giL4WQXOfG+KDLYes2nu6RyYxBVGhZSkaJKI/WCuZnqNk1ro+vz4sTXdPxjRKqUObBlZqi4ZulI05gM2R5TrvdpqSVMOsmCTGd4KAYV4RK2SphKCYCQZzHR/Qsi5gl3G/q9pSNMr2ov7KzgRDYmk1ZmuQv/RE7mYksl8iQJDIn6rWI3nyDxtmLa8kITF3L1mzXFA1LtRmEG0b11grwy7TGKwp918H5oR+m9eabaO0OumWhnbsT7ew5hKKgKTpxklByirDLMI0YJ2Out65DlGP7PiHRkTTwslVaK7Qv2T6tYRdqNWS9jtjdBdsBTcUJE1p5TH7H/UeSyRVFZbAm/wTA0k1Ga9y/SrZPf7z+e6mIA52Zpml4nofneeR5TpamdIaFXa0Q03GY6f+EEMW4V3/9vrdpXyqeX3RHNmxvLZCJMAxpdzqUSyU8z1sOk5zll0zHwaDIpekJiv9eo6fbRhRKvkentyGpHeYOaEma0h0efEcVU1B2XHzbwTBVBoOAdIVz1rZ0eyhGubYRltGWHJmS7248Fyh0HauQTUfwbNvEcZefg+Nwwjgs3lvzNCoVE9vRGfRD4ni1g9e6f5/BtPSNIZ0A7k04iK0j6zMoimCwRSdTLjn0FrRDM7e4/+2HHuRHfuRJ2u02rVaL5557jjzPqdfrNBoNGtM8mg8LKSUvvvgi3W6XJ5544ra+4WPGjRs3ePHFF/nCF75AvX48BgtxHPOzP/uzXLt2jW9961vH1rH5rOE2YblJTCYTLl26hGEYPPXUU58qe7mPmrD0+30uXbpEvV7n4YcfPvYVpUVxPdxccn07aPPVS19dGsc62CGFM1cEru7SrDTRFZ2dbIe9wR7jyZhOp4OkCBazbZtmqTkf41pEkARzHYkiFE77p0mzlDzNiVi/ktd0j9r7Fgn3B4V2ySxhaw6ZzLA1ZylfBYqCqN1qseOdQLiCVZcklxn9sI9vlonSkDiLMVUTV3fRFJUkzxgno6krmUeaZwTJ+gd2xaowjIZHEu5nEICr2+xeeQWR9AuBswgONnoWJzoh3e4enl9CU/RpOr1gZiesKyZxGlFzamQyQ0qQeUYucyTgGT79cIChmXO7bjHdv695TKIQz3ARiiiE1xT/rwgFFQ3Dnf12C0F/nufksugK5RfvJpUXDj65oIMiFFzNZbiQ/SKlpNvpksQJ50/eQZQfLZQEswJpTRGcz1bABfmXnkC5fAnRakEUYguT0T33IO+//8ifbequ2LpFu7++Q6Cr62/5tmHSHawmgYqicKJxkn2tS7lcJo5jgiCk3+/T6XQwTQtDamRZttZcI0k3i8g3Z7MUDmAzTCYTut0u1VoNZ7q6bOoGTK2WZXMHHGee44MQVLOMdpJCvQ4r5s03dU9mUNh8byv53tp95FLSH4+QSAaTMeiCUsnB1C3SOGc4LHQw5ZJHt7+ZSCRbBPm+5zDckhOz7T6tKMrKYMs0y2jt72OaJneeP7eR9KRpyiQJ6Y6HoIFf8rA1k3CSFZoVOQ2/3Gab7NlbM1q2ZcXcDBkp+ctkZBU0ffX3+/77zqKq6lxHKWUxWrm/v8+7777Liy++SKlUotls0mg08DzvfY+SSyl54YUX6Pf7t8nKJ4Dd3V1eeOEFHn300WNzg03TlL/21/4ab775Jt/+9rePjQR9FnGbsLB9JKzdbvPMM89w+vRp7rvvvo/dBeTD4qMkLDNx/T333MOdd975kYvrhRBb3+PN7pv838/832vHtWaoWBXGyZhxcvCAsi2bE+UTqIpKe9imN+ohR5LXO6+jmzqWXawoq8rRh1bdqXNtdG1en1qahWd4SCkZRAOSPEERSpFKv0X/4uouSZ4yWOzmaDauUcy0todt9nb3ON84T2qmGx12KlaNUTQklcUq5hEXL6Bu1QGBoyk4mkOQBkcE/TW7Si/sH7F/nmEmkG9NOoXIWQjIJagHR9dIDPa1gEwmRCvE8A2nwbU1AvzZ9r3R0dE4AM/w6EWDDZqWMq01OTl1p057zdhW3akvdWzyLKfdaSPznAfrp2l3W+B7cOi+UHfrB25Th8/DrS93Xhyb/E/8Cej3KWWCfUNHrhDQFt2V9QWVZ7oE4RoyY1iFdkUyT7VXFRVFKchu2SkxFOOiq7jobjYlhVJIXMsqRgFNC9/zyLKcKI5I4oRre3tEUTQP4rNtG03XEYBjWfQ3aF9cy9qYzaJr2lxsPxqN6A8G1BsNrIVO7nBRa6Gq5E8+ifI//gfEMUiJyHJwXbIf/MGVISgVf7mDcxiKEPS2EBpji/GKaRgMZp0POSUuTM97SmA8RwfVZdgPVnY4dG17gW+bxlbCsi3zpOy7R4jTTC9k2zblSmXrvfjw2NlwMmJIcQ2NkkHJ9rA0gxs3BhutovMtnREhxNaRsg9DRhYRR0eJk6oqXLx7OX9FCEGpVKJUKnH33XcTRRGtVotWq8Vbb72FruvzzsvMxXIT8jzn+eefZzQa8cQTT9y2uf2Ysbe3x/PPP8+jjz5Ks9k8ln2macrP//zP88ILL/Dtb3/72Pb7WcVtwrIBUkquXLnCa6+9xgMPPMDZs2c/6UP6QPgoCMuilucLX/gCOzs7x7r/2Xu83+T67177Lv/xxf+Iozk03SZBEqwkLg2nQTtoHxkByWR2oDtR4f4z9xfZJcGw6L6MxvS6PQzDwLItbMtG07SVgYhhGh64gonCAtnSLUbxCIFYmxZfNstMkoDkUJ5LkAYEacB4MqHf7XPPybtxPBchBEEyWSJe8/O0G7SDLpL1D/yKWaEfDUiz5UJfVzUc3cVQdHRFJ8hCVKGRy1XdBEHVqtGe5axUKoVQfDSEUhkENFOTVrhLfvo0mEdXBut2nfZ4U07LZk1Lluerx9QorsNh3cr8fTeQlYpVXiIrWZrRarcwg4Dz7+3Sbz2NKiXS95D33488VRQtpmbQG60uflVFZRSuKa7KZVSnglzztw23yjCYUHJcFEVFnf4uiv+BzCWNaplcFl2jLE+n/5/hWzZRXgQGzu4GKUBeuCu1xsnaLkjFLdNaNWangmYLTp88RWfQLwIwo5gojAjCHmqi4TkeluHiOiVyKZGtDvnzz5Pu7xPaLtldd+Hc/yDjDYLpiuez1+kyGAwYj8c0D43XlD3viB5Dnj5N9md/FPHGm6iTCZ1SmezOO4vOywrkW8bBKr5PZ0vnY7RCoL4I33GI1unHpgQmShOiOEYYgrLrYag6SZQz6AfkUlLy16TbLyBcUVQvouQ5B+Nza3DYICFJEvZbLVy3cMFThNi6D987SnpmiJOYVtKhUSuTmQGVmo8uDCajeEnzIgRbx8EOj2mtgm5sJyPbujiGoTFYcSwX7jyBZW2eujBNkzNnznDmzBnyPKfb7c5dLOM4plarzbsvhzsneZ7z3HPPMZlMeOKJJz5VEx6fBezv7/Pcc8/xyCOPHBupyLKMv/E3/gbf+973+M53vvOp0EN/0rhNWNYgz3NeeOEFWq0WX/7yl4/Nsu6TwHETlizLeO655+j3+x+Zluf9iuullPzOG7/D77zxOwD0s/7cWtjWbTzDI8kS+mG/WPker9dPQFGAN5zG0khZrVKjtFMizVL2+/sMxgOGgyFVq8rrg9exbRtd14+I9gFs1SbKIzpT0bamaJTMEqpQmSyQjbpdpxf0Vo5cSYpsm2A84a7TFwhEQBAcPDwN1cQzvCL9PI2wFJO9oMUm66WaVacf9laOUyRZSj/r03DqXBvdmO/HUE0c3UZTdASSTOYYirEULImmIe+7D/HCC4hel0as09L6RRbGPfccCV2oWBW6QW8tiWu4DfaHqz8zRSl0M/01mpZNoZKe7tKfrCEWQiNaGL1J4oRWu4UjFGqvvYbWnpD7NiAQ/T7i0iWyJ5+Eeh3X8FYGS0LRqdofHFgc65qGrmqoioKpm6RZRrNSLYiGzEizlCRPyfOMXtQnzhNW6Y+bXn1uCnAYuqrTGfbWdseqXoVWb/XxwvZRqHEYHOT46AqmbmO4FlEc0Z30afXahEmMP5lQvnwZJY6LSrQL5vU3yJIx1Ue+gKqoCAR5XozTxXFCGMVEcVIkqAcBzUMJ6rPruBKuh3z0Ucrl8sqwyBmKcbBtyfSbr4HvOAw3aIugGKfauA/XZTjtNEkp6S8EdKq2SsVxsUwNP7UZDlYX8aa50MVZA8s0tpKN4YJGJopj2q0Wvu/P7/dl36U32Nxx2uoKBwxGk8KBcXTw+Tg1G9e0SUKJkArd3ub30Y3tpUwYbCYjprldJ7Mu3PL+i2e2vv8iFEWhXq9Tr9e57777GI/HtFqtuZjb87y5cN/zPJ5//nkmkwlf+tKXbpOVjxkzPdLDDz98bAuzeZ7zt//23+Z//I//wbe//W3OnHl/35/PK24TFo6OhM0E5FCks3/a50SPk7CEYcilS5dQVfUj0/K8X3F9kiX8+xf+PU9ff3rl9pnORFEUGk6DTGbUnXoxppWtaO8rKiWzVNgbH3qf9lRjYjgG99XuQ6UYHdvr77E/2j8SwicQlMzSkRDKxdwXKMbH6naDKA3RFP3I5yWlpNPtIhPJnacvEMqjD9Y4i+hMV6mbzg6toE3J9DFVkyzPmaTjpRyYut2gM+lsFBo3nQb7kzaLpGcxQ0URChWzwo3R7vw8LNVEU3WU803y6ln0azcYjvvgGOQ7jUPOTVAyy4yi0dpiumZX13ZAoCBd66yPfbNEZ9Rbua0owsXKwEyAql2mNSqK+CiMCjcq36O8v89Oe8JutQRK8d2Uuobo9zGvvEP5/EWiLKXuVxCKgiKKbloucxShEIYhhqURpzExEXEaFa0OCSXLZxCsLs6aXp39NQJ+XdHorunKAFSc0jwHZhXWOUFBka2yad9lZ7WQXyiFMP904wTtQZ8kjtF/7/cgDElMEzEN9/SCmO73vkt26iSscDuyHZNr+++iG5K7LtyNpurkmSSKEyZBNC3sP1yQY9n3N7qDCSE22jlDQQI2ERZNU7dqZCzTmBOWw8jyjMF4yCgYk2YZRkmnZLuQqwyHEdFUcO57DlG7t/F9Nn3eAL7rMJySnjAqvvvlchlvIRNC17eXD5tc44pjdRmuuK6TMGAy7ULu1CvUTBslVxkOIqIV3aPDQZaHcTOifd+zV+57EeueRA9c/ODTF0KIubnFnXfeSTx1vmu1Wly6dGmuC/s0jqN/2tFut3n22Wd58MEHjy2iIc9z/t7f+3v87u/+Lt/5zne44447jmW/nwfcJiyH0Ov1uHz5MvV6nYceeujY09k/CRwXYZmJ6xuNBg899NAtIa4fRAO+9szXuNK7svF1hmZgqdYyCRHF+JWhGvMux8wJrBusX20G8HSPSTIhSAPQ4NTOKTzdIwxD9gf7dDtdpJSc8E/QilpohoayYYXWN3yuDt6b/7dreDiaTS5zekGP660bWIpF81STMF//4J1ZIM/O83DopaVa2LqDo9mMkwmqoh4ZBZuh6TSPkLZFKKiUzTKdhWu1NAYH1LwaN85VkbICgK7o6KqBoRpoioIuDHIpMVQdKSVpnpHnGalMSbIUR3foB4O1pGrHbbK3YUwsSdL1RMipHrEbVoSCoqhUrDJRElG2fYJJwHDU564zd+L7HsZ7e2QCaqpKBqRCkiBJTIVs1GGUjpnEqz+jhl1nGK0uWhteldawt3Kbpqj0JxscuNwye2sIiYJgsOFvK26Z3nB996Fse+yt6RbBZiF/gaLnaCQJ6nAIponQtIORT0UhjyKCt95CufvuwjJ5+rvP85xBr8ckCqk36nQnh45TF+xUaiRJRknYICGKU4JJONd/qOp2orDNHazieXS3dBO2BTCWPZ/2Bhc0gPG2fZR8utNOUZwktJLp/gS4VRvbsNGVIhh3nT2vZRlb9SvFayYEYUin06FSqeAeGqXbdqyeazPa9j6GzuYhO5iE0cF+VPAbhXA/GKcMRyGWoTO6GTKyZdyLLd8BWB1u6XkW584ejwAbwDAMTp06xc7ODs888wxhGFKv13n77bd58cUXqVar89Gx20GRHx06nQ7f//73eeCBB45tXCvPc37hF36B//pf/yvf+c53uOuuu45lv58X3CYsC7h69Sovvvgi9957L3fcccctGwb5fnEchOX69es8//zzH6m4ftZVgZsT118bXuOXL/8ycRbTdJrEWcwgGhwZK/IMr1idPBz4N3MLm6LhNFCFWojjNzzwq3Z1Hvo4Q5zFdLKiYHTLLicaJzClSWvQot1rk6QJpmli20X3ZSbaVxSVilk5on8ZxyPG8WjqBNbmhHuCEyd2SGVKHuUkK1ypin1VaU3Wj7uFWUjJ9BcS7sE2HGzNQlU00ixhnEyomOXlEa/D7zUlK5uIXc2u0gt6S8VgkickecIkGePoLlk2JlqTpeIazpz8mLqBIgo3MVUUCfGe7jKJA2pOBYQCMwfbyQT1jbfQd/eJdQ333Dnk+fNIARKJzCWu7jIIhzimRS5zsjwryBIZuqLRD/vEacJoNGQwGFKv1wiVkHAUUjUNBnqGFMmSeFtkGXW3we4aslK2SvOOzdHrKRhH6wvAqlNZ211RFY3uaD3hqPlVWmtcxYCVI4zz4xLKRhvkIjtl/Xsbmn6wXYj59RIUv29DVRgbKkpYZJR020WnzLKKDuVoNMI1bRqNBoqy6jiL+8aRDpAGjmth6SaOaTMJIiaTeG5Bu/TSm3AH27Zw5dk2o2Bz0XxT2Spb9rEpyX0cBkRJXJgk2FB1PVShExzShHiuQ7jF/jeOEyZBQLfToVarHcn5sC2TyZbuiW2aWwnLNmc40zSO7GNRuG+WTZoVl/Ewod8L1toW5/nmay8E9LeJ9j17pX7l/otnj/15mGUZzzzzDFmW8QM/8APoU2vzyWRCq9Vif3+fV199Fcdx5qNj5XL5dgfmmNDtdnnmmWe4//77OXXq1PY/uAlIKfnH//gf86u/+qt85zvf4d577z2W/X6ecJuwULDel156iWvXrvH4448fm13drQJFUT4wYZFS8vrrr3PlypWPVFw/06sIIW7qpvvC/gt8/dmvzwMdZ2GMuqpTNstIJL2wR8ksHSEXq1Cza3TDLtl0PEgVKjW7hipUhsmQMCkezuvE+ssnVDh67U/2EbbgtHsaW7EJg5D2sM2N3g10Q8d3fOp+nc5k9ThTNB3FOF09jepo7E1m7lgCz/Cxpra+w2RUBNLp3pIt8qrjarpN9g51TYJ0smSZ3HR26Id9KnYFXdHJpSSe5o7kMkehGJk7HIq5iKpVpResdxSzVAuZs5asGKpJnst5MGR2yEHIN0vcGO7NP6+DkwlQvvtddm4MuWFRrJpee5N87wLyoYcAgWvY7I32V4+CSXB0h864R7/fIwgCms0DgXfTa7B/MkB9zUEMhkjXBUUgJhMcdFrn1qzESVhzKQCoe7W5ruUwNFWnN16/Dl1zy+vHvSRMwvWFpWs6GwlH1XDovPQCotsD00CeOwf+QSBs2SltJENlx2e/Nz02x0HWaoi9vWnKvKCaSfbjGEwT9557cEyTOI6ZTCb0ul0cwyJMYphMsG3rCHHQFJXemrDJSRQyiUIQks60M6M7Gq5loysGMpNMghjbtLaOg23TtziWuZGwqDdBihzb3tq1GG7RpiwGXy5+rlbFxDMdZCqQm76IFMLyazf26PX71Ov1lSPRnmtvHSuLt9hYG4a2VWvjuzbRCpI5QxRHjJOATjBAsRSqro+GzmgYzcfEhIDhFjtj33e2Wh6blgErCMuD9x2vGc+MrOR5zhe/+EW0Bb2W4zicP3+e8+fPk6bpfHTs2WefJc/zuetYo9GYk5zbeH+YTdlcvHiR06dPH8s+pZT84i/+Ir/yK7/C7//+73P/Crv629iO24SFwlpuPB7z5JNP4i7M6H5WoKrqVt/+VVgMyvzBH/zBW0JcD/DtK9/mN175jZXFcJIl8w5D02mS5AlVq8ooHhXjWyvQdJrsB/tLg+6ZzJY0Jq7uzm2QNw3EK4pCxaosjVKlecowH4IOpVqJhtJASzTG4wlvvfcWUmGue5kliI8nE3rdHnedvItYi8nkIuGSjOIho7go1EzVomSUEELQsBuFk1g8Xhq4LkbF6htHvJAzJ67iNQdkQkK7jXpjl1KY4VZOkl0wqLt14iwhSCZLhLBiVRiEg7VkRVdNVKExjlcXCKqiYqrG2vBKS7OJk/goWQHE22/T3B2w1/APbIbDEOXKFbLTp1FqDQQqab66MGx6DfYGLTqdDkmS0Gw25wWDrdt0x31wXfIvfhHx3HOI0QikRFoW+gOPk60h9A2vvjZAUlM0epMNhMQus7eOzCgq/Q1kpu5Vaa8ZMwNwDHv9qn4QIH/n/0Xptg/GZV58ifzLTyDvuBOQBBu6QgCTaHnf8vHHEf/9vxdp80KQxBJMnfyxx8CyEBT2wWEQ4Loed5w+w3u7NwiCCf1+D03TsW0Ly7LRDb0Ys9qUO6NpdBeE60mWHiF/rmFQrTuFA14mGY1D4oWV/5saB9tACgEqvke7t9nZK4o3dz1KnsdgtPk41nXLwigijCK0KeErNxwM1SAM0iPifZml9Pt9GvUGprlao7jJghiK674t/LLkubQ66z872J46L4SYZ8XkcqHTJsCrO9i6jSpVbuxtfh/L0Nj86UCSrLBLF4L7j5GwpGk6D2B+/PHHl8jKYWiaxokTJzhx4kRhnT8YsL+/z5UrV3jhhRcol8vz0THXdT8zEyMfJRbJynG5wkop+aVf+iX+1b/6V3zrW9/ikUceOZb9fh5xm7BQ2A1++ctf3tqy/7Tig4yEfRzi+vdLVrI847+8/F/4n+/+z42vE4jCVerQSJNneNiaTZRFDKLB3AlsYxFPMRZj6RZXh8UYla7o+JaPgsIwHs67PLqq42gOncl6cTMUwvRIRAgFdrwdtEwni1IGvQHdrItQBWmScvHMvYzZTJAczUECnXD5PXXVwJ86hqVZiqIotIL1o2ICQd2us7/CPU288w7i5ZfRohQNg73r7yDffYn8i49DqVhtNzQTW7NwDY80S6nYFZI8IUwOBPpQjC/ZqskgXF14CQElw6cb9FZu1xQNXegM09VFeuXqPh1bW85EMS0Ie4h2m9qZe2mtsU72DJe9fotWu4WUkmZzB3XmciQLYhhMRwjlzg7yR34E0elAnlM7fRftNYGbqtAYbshOqTrltd0VQzPobBC8F6Ni679vyRp9Ehw4h61D5fmX6HdaYNmgFiN3BBOUp58mO3GCSuPE2u4GTMX4o+XtstEg+zN/BvHGG3idLl3bRV64gJwSvSiKaLdaeL5PpVxmEsdzZ6oszwnDkDAIGA5HKIpARilxnhUGFyvuH2XPo9Vbf46aqtEe9pYLYwF2ycI1bAQKmtARg/U/Q9e2GG3pjIgtLms34+xlGptXzIUQG8f34KADs0hyzbKBb7nkGbz3zh55Gm9MZVc1dWvHqVxyaG2xXt5mIy1uwja55Lv015DJUTBhFExo1Mvofk7J8SEV9HsT0nSZCG2zgdY0lf7g6DmfO1PH944aRXwQzMiKoig89thj70s/K4SgXC5TLpe55557CMNwPjr2xhtvYJrmfHSsWq3eHh1bgX6/z+XLl7nnnnuOlaz8y3/5L/mlX/olfvd3f5fHHnvsWPb7ecVtwvI5gKqqW1eqFjFbZWg2mzz44IO3hLg+SAL+zff/DW/336bhNAoxetQ7cl5zh68V+otRPJpnsji6Q9ksE2URqqKuXK2HAxLSXhjbSvJkiZT4po+ru+Qy30p+qnaNYXgQbiiEINNS0MCzPeJOgp7qOKbNe7tXkZrEsk0syzryOZSMEmEWEWdHV2aTPKYTdlCFhm96dIIOvuFjaibIQhw/TsZI5NTpq0pr1WhaGCJeex1NCpzqDj2RgHQQvS7ijTeQjz0OonAOszWLveEu6SFLZlVRMKfuYcbUsazhmeRZTponRFlCnEVIWdg6r3P8KsIfS3QmqzsVhmoQI8jXWSNrPvtryIqCQppk7O7tous6tVpt6TvZcOtH9Seqimw20VWNoVxPDGobSIWlmxtJQ9kqrf1bRSirHcWSBPHaa9Tefo9elqKcOkV+8WKRi7OAqltir7eG7GQZ5ptXGKpaQVag6NhZNgQTxNVrKI3Ns936uoLL85Bf+AJWuc5wwUo5CIJC4F0u43oeVb9Mu9+bb1cVBddxcB2nWFzKJIPhkEkQkOc5lmXN/zcr9rZ1AiprCE0QhQRRiBAKmqqiODm+7RYOfolkMAzm9y/HsjaOct1M4GTJcdnfYGwAMNmibyl77tb3WdWBieKYMI4Z9PuEScDdd17ANhzCScJwePS8Kp67tVu0DYudkXUol1x6/S12xtpNZKtERb5Qe/o7EqagXPUxFIPxKCZNspXalOVjcWh3jpLzB+47t/X9bwZJknD58mU0TeMLX/jChzb7sSyLs2fPcvbsWbIso9Pp0Gq1ePHFF0mShHq9Ph8dux1AWcQFXLp0ibvuuotz547nM5VS8tWvfpVf/MVf5Hd+53f48pe/fCz7/TzjNmH5HOD9dFiuXbvGCy+88JEZD3wQcX1r0uKrl7/KjVGR+j7raKhKoTMRQjCMhiiKgia0rQ5ftmajCGWesSKEoGJV0FWdcTJmMh1VcnUXiVwS5q+CQNAJOsRZXOSrWCUUoTCOx0tjaA2nQXvSWTlDnuU57XYbBcEd58/TjXu4iUsSJhAKJsMJqqGS6zmWbVF3G4zi0UZtjq7o2JpNL+wBMIyHDOODh64mNDzDw9EcoizGM1xGh9LnRa+LPglxyk36YroKKQTSdhDtNjKJwTAomWXG8eQIWQHIZE6QBJiKxY3h7tqreMJrMoonVJzyVGCvzAusXObYqsUomlCyS+RZRiqzuauYlBJHd+mfOYHycg+yDKYPfREGuIpJt+qteW/wVJdX3nmtSPAuV5aC0G3dpnfYnWoBZXO1mF4g8E2X/niIrmrFOSlFnociilV3z/QYq5OpCH12eRVAogoNmWfU/NLKQtPSbcIoxJ1qDKQUkKWI7/w24upV7Ewh11Xyl18hu3qN5P/8P8lcl1xmheHEhtV4Q6h0yOe2zQcnVfy3JeVG7Yuu6hu3CyGW7HvH4zG9Xo9atYo9dT7aJJQWQtCs1xGqSqlcJk1TgiBgNBrR63YxDJNyyaeVphvHataJtGeoeD7dYfH7740XzkcX+CUXSzfREBiGRhyv/i1WfG9r4OSmThiA59hbQym3aRbWdWAk0Ov2CKOQey9cYBQE82BTq2LiWS55AoPepHBe23K/LjQ/W7Q2N0VGtpcnwRbzANM0GB7q0kgp6S98lidP1EgTkzSU9PuTlWZh6075wQc+/Ep8kiRcunQJwzB49NFHj92ZVFVVms0mzWYTKSWj0YhWq8XVq1d56aWX8H1/3n3xff9zNzo2HA65dOkSFy5cODaLYSklX//61/lH/+gf8Vu/9Vs89dRTx7LfzztuE5YphBCf65EwKSWvvfYa77zzDo899tixpbkefo8sy+bX+WY6N2923+Rrz3xtLqpfRJYf6EzKZnlOWICV6fZQdEPiLF7KRJFSzot6OOi+JHmypGNZhbpdpxceBD0ezldxDRdHczAUg93x7kqyUjiBtXBMhzMnztKLe4UNrK5jTIuQNMsIgoAkTFAmCvuDfTRLI9MyVE078kC1NAtVqAzi7Suh14YH4ZiaouIaLoZqIIFUGaBmKl0lhqWxFkmx5C4oGT5BPFlLngSCmlVf6lIdRtNpsDta351qug3e619bu33HbdIJuuj33ove6aLu7SMkCCS6asADD6OcPF1UHnKWvTTNUIkz3nnvPc40T1Eul5f2m0uJpVqEasTUY2w+yiJljms4DIIxhq4VW6cJ87mUSHJUTSWeaXEksPAzLFklrg9vHD2ZKII0pdE8S2vNaJwiFPToqMOaeOcdlPZVSr7N9dnqs5Qw7pO/9hzy8aIj1vRqdEdDLFtDVYrQSlVRp9koCrZukuw04N33yHWNDIUUSRTHJKqCd/ZOgg2zihXXY39DEGXFLdGdjpMNh0MGgwGNeh1zSr4M3VgKElyFMJ6JqgW6rqPrOqVSiSzLCMMQDcH13V1UVS3c+SxryTLZ0HR6o81EYr0rl2QYjMhkyiSIClvhsoOtW8gMhuNgTmAUZXMBquv6dkG+aW0lLKMtoZUlz6N/aIRPSuh2O8Rxwk6ziXXIPGCmfQEORO2KxHFNJuPVovubCZS8GTKyzSbatkzGW66J51obRfsAqUxpDYrvmuZrlG0Pkav0+yHJ9DMcjo4ei20b3Hn+w5nQxHHMpUuXsCyLRx999CMf1RJCzEcsL1y4QBzH89GxK1euoGnanLzUarXPRKzDJgyHQ55++mnuuOMO7rzzzmPZp5SSb3zjG/z9v//3+c3f/E3+1J/6U8ey39u4TVg+F9hGWGbi+uFwyJNPPonnrV+J/qD4IOL67177Lv/hhf+w1eHrMGmAQ+n2UR8pZfG6qLd2/Gvxb3fHu+QyR1M0KlYFRSzrVWC1WP8wJskEW7O5OrpajF5NnbeitNDRzJzA6qU6tWqd4RqCoakqvufR3GmyO9ojCAMGkz5xlOAbPiW3hGEbJCLBUi1y8sIgYA00oePqDr1guXuU5tk8MV5XdexmnaFv4A4CLL+KikKeZ4TDHqM7TuN7dYIkJFn3GUmoOw1aK7QxM9Sd1dqZGap25UheyiIaTv3AglkTxD/wRcT169DtgqbROHuRfd+A4Oi1TaKEbruLV/bJDXlEO9Nw6uwO9478HRSkASnmDnJHzsut0R6+j/T4IEB57jnE1au4iaTne4gHHkCeP3/kb2tuZaWIX7RaICW6ojH/YgoBqopy48acL03iiDRPp7+t5cJTCIGhGcSP3ofS34N4CKoGeQ6KRFy4i7DhURICTdHmdtN5LsmynCRNCbfY1c4WiAaDAePxmGazuaSZKDvuRsLj2c5aXZCqqriui2c7YOhEUVQ49C1YJtu2Tb1Zor2hC6QIsZXQuFPLZIBxOGEcTknDlMC4ho3MJbqurRRtQzHK1dqSzxJuEeQvBj2ug3Eo6FFKSafTIU1Tms0mqqps3Eee5+QyY3dqcuBUbVzTIYlyBv3JvCN2M4GS4y2WyI5tbX3NzTiVya12xsvdoDRN5yYVQheUyh6uYTHoR0SH3uqBi2c/FMGI45inn34ax3F45JFHPhFdiWEYnD59mtOnTxf24N0urVaLV155hSiKqNVq89Gxw9bWn3aMRiOefvppzp8/z4ULF45ln1JK/vN//s/83b/7d/m1X/s1/vSf/tPHst/bKHCbsHwOsImwBEHApUuX0HWdJ5988pYQ10sp+W+v/zd+/8rvU7EqRQdkDdFYRxpm6fZQjEY1vSZxGqOgkLGesOw4Owv2wUc7JjPhvqEaXBuuX/GHAz3NzLUsl/lSJyeOYqJ+xN0n78awja2jZ023yf54H0URS7P8YRjRDlsEvRBXcXAcl7JXpmbVGKdjomz5SWuoBqZizYnJKuiqjqVZDLIh4uJFxi+9xKS/i1QEIpfIWgnvgcdAikLcr2pImU9dwwKSPJke887cdWwVKlaF7qS3drtneAyD8drup2/5RzUtul4U+efPF+YLw6NkRyIZDoeIEMrVCqZ1dI67GAVb/5k0nDp7w9VES1XUwlJ3DWpujc6od/APeY7yR3+E2NsHw8AWOuN+H+W73yVXVOTZM/OXKkJZW6xLVcVPoS1ylmzicomcrmpXncrG5PqaX6E96MGJHbIf+WGUl18piJBlkd91gdoXnqC9wZms7JToj/votoZtWGiKhqqoyLzQlGRZRncwoNftEkYRzWbzyDjT5HB1eAi2sbnj4NsOw2CCoijYto1t21RkhTiOCcOQQb/P68MxmQBr2n3RDq0mV/wSncHm3+QmIjEOJxj6NCNHLQTipmaRxjnDYUA6vSdnW/SFtmkyGG/We1iGsZWwLF4vKSWtdntqLtFEURR8110a01sFY+FzWkyj1xyNiuuhSJU42rzA5DrbyYjrWFs7LNv0SYpyM6J9Z6WYHoprNBgPMS2VcT7Arlp4lkMaQa834YH7P/g4WBRFPP3003iex8MPP3xLiOAVRaFer1Ov17l48SKTyYT9/X12d3d55ZVXcF13KfPl0zw6Nh6Pefrppzl37tyxhjf++q//Ol/5ylf4T//pP/Fn/syfObb93kaB24Rlik/zj28b1hGWbrfL5cuX2dnZ+UjF9TPNys2QlSRL+HfP/zsu37gMMC/2FVHYBeuKXnQ6sqhwtdoichcIylZ5Ti7mehVFJ0iD+eiYEIVL1iJZWYUwDTFUg6vDq+iqTsks9AWDeDDPDAEwNRNDNVbqaSTTleXRmLtO3UWipARRgK07hW5GSobxcO6uNU+vX2EkIITAti1s2+JOs0Jn2GE4GdLebZNlGZZpUfEq1Et1NFUnkxlplq61DIbCmcpUzPlr5LmzSM9D7N6AKEKWSrjn7iY0dOI1HSFd0Wk6jSLU020iyUmzlCiNCdMQicQ3fEbReK39saGaZFm2tsNmaCZJkqz9e9/w6Y57R/5dIun1epiZiV4y0Fe5L0kwFYNgjf2xZ7gbuz41p8b+YDWZEUIQxoe6GtevI1ptcGx8YdAyJODBcIR49RXkmdPzQfqaW6W1zhns9Gms519jFEWFO5oA0rQ462mnZtvo61InoNEg/5PLuVSby1HQ1eKxkmQpyQpTgIZf5Z3dPVRD4f47L2DoJnlWzPJPwhDHtDcW6ALBYIPrGoBlmgyD5WJVCIFpmpimycmdHYajMUEYEkwC+r0emq5jWxaWbaPr+tZ7lWvZDLeMYakL42DFMRfHrRgKZcfFUg2iKNs4kuy5DsEWAhdsGXvyHWd+rHme02q3EVAEcs50SaaxlbDMCMphpFlKZ9Arwi+jiFLNxdItwklyJB3+ZronSbr5W6Yq6lbRfsnfrpMxbiKrZGZxPTNiANA8jQc+oJ3xjKz4vs9DDz10S5CVwxBC4Louruty5513kiTJPPPlmWeeAVgaHfs0Zb6Mx2O+973vcebMmWMlK7/1W7/Fz//8z/ONb3yDP/tn/+yx7fc2DnCbsHwOsIqwfNzi+pshK4NowFcvf5V3+u8c2bbYndAVnYbdQIjCNWqdTkNTNTzdW0p+P6xXsXWbklFCFSo3xiv0BAswNANLteYdlyRLDnQZotDHWKqFlJJJOllJCqSUdLtdojjivnP3Mc4m5NPOUZBMCObWuGLezdFVg73xZiJVs2v0wwGqoVIxKkgJaZoQBAGtfpsbrRv4to/jOEWxZJeL0TEpidJwLrY3VBNjSgqXUK0gqxUAPN0jzpKV7mQzVKzKkjZmEUIIKmYFIaFilxBCKb4vMifJUuIsIs0yLNVkEK4mVooisFVzbZdIU3SyPD+yei1lTrvTwcDArjiIlenp04DI4RrNjSysitcRJcdwaK/o6sxQd+u0Dm8fDIodaxpaKkBMi1dDR/QHxTiWqqIpKoPJ+iLMOn2e1iMPwMsvw0xgLRTk6dPIe+6hZPvL4vFDKDn+xv37lrsx98XQjI2uZ3mW89Y7V0izlHK9Tj8cwuJnrAoct4xqFJ9hnudEUcI4COcFfcX36Q42jGpJNtpIA3i2SxBG+J6H73nkU8vkIAwZ7e+jqirDfh/dNLHWWCa71uagR4FYe61ymRdmDOUKvaiH7mr4tociFcbjmCA4ICjxlgwtx7K36ldsy2Q4mZDlOa1WC1VVqR9ywtuWJbPNDW12LONJxGAyZjAlZ2bJwLdd8rQQ7sdbxgVVdbWF8CLKJZfOFqeym9HJhFuInqarK7s0J5tVyqX3n9kWhiFPP/005XKZhx566FOzUKrrOidPnuTkyZOFaUG/z/7+Pm+++SbPPfcc1Wp1Pjp2K2fZTSYTnn76aU6dOsXdd999bNf/m9/8Jj/3cz/H17/+dX7iJ37iWPZ5G0dxm7B8DrBIWKSUvPrqq7z77rs8/vjjNBqNLX/9/vFBxPVXh1f55Uu/vEQmVsExHJAsdVYszcI3fNI8pR8V6eq2ZqMoytb9QSHQHyfjJb3K4Y6JZ3hkMmMQrXlIShhGQ1RLLeyCpaRm15bcwrI8o9PuIJE8eMdD06T4davdkjCN0BRteq6CklkqEuBlxiAakk7HrupOg86k2O8MQrAkRDYVk/F4THfUI44i9vX9uRBZ1w10TaNqVlCFTpInSCmPhE9C4ZxWkIr1D/qGvbobNIOuGsR5PHdjW3Ut606dYTyaWslqc9cwKL5fpmIyike4hkOcJ6RpunT+JbNEZ7zc3cryjHarjaoonDxxksmaIFHXcOiscP2aYSOZAUzVZCJX71vXdPqrHMcsC6SkGkNXWyBCaQaeO8+VqTpV9gfr39s1bYKHH4aTpxDXrxVuac0m8tQpUBQ0ZfMtX9siEDc1kyHri+Oy47PfX03WsiwjHE6I0oRGo7GyWNAUhdawMx+XmkExFFzTxtJN7CnRHk2ClZ3jil/aKtg/XJwrioLjODiOg5TgmibX9nbp9XrkWYZlFb8Vy7bmQvzx1rBIf6NTGhw4oSVpukT0nLKFazrITNDrbyYjrmOt7XzMEEQRWZbRarXQdJ1atbZk1OHa1lYBu+vYW0lNvEKnE8XxPBTTcHQUK6dp+0tp9Iuo+Nttk2/mmbKti7PKQewwyu7qY3no4vt3kwqCgKeffppqtcqDDz74qSErhyGEoFKpUKlUuPfee4tFsalw//XXX8eyrHn3pVKp3DIdpNn1P3HiBPfee++xXf9vfetb/MzP/Axf+9rX+Mmf/Mlj2edtrMZtwvI5gKIUK9hxHPP8888zGo1uKXH9c3vP8Y3nv4GlWdSdOoNwMNdALGKWNJ9ky9vCNCRMp616ReOEe4Jc5kfCFA+jZJYIs3BuPbykVxHFdkuz5l2ZVce0iIbToBN05ivvi9oXQxj0u30qZoXTJ05vHWUzVQtD1RcIlzxElgoC4xslgiREU7S1x+cbPlEWodkaTbtxsJochAyHLRRFoeyWyB1JpmRzC11NnTqGKYVjWJbnRGl4RBOzfA3W56hA8flYqslgw0haodUpumJxerSgaTpNrg4O6YeUwqZZVwvSGSQhVbeMKgrnqyRJuHH9Bk2/zpkTZwmTENMoyF8u5bQbU4zL6cJgvIZwWJpF97CuJZeIvV1otWioLvuNDtTrK/++YpVXa2pOnwbXIeuNwXcKghJHkOfkFy6AEKiKttFeuch0mR5bo45sLB+DazobQygd0964XVf1jdoXKML6ViFNU1qtFjuVBk7JX2sTW/HKtPpHyWIuc0bhmDCN6Oa9onOmgevaWJqFIlSiOGU8nmxw9irg287GUS4hCmF+pVKhDKRJQhCGjMcjer0uum5Qr1ToxQM0XV+TLc9WhyVNU9d2uyZRyCQKaVYqZHpIpeyhq0aRjXIoMyTaIsi3LZNuf0Cr1cI0TSrV6pFjvpnuybbOiHETbme+59DuHnyH3IqNY9rEU+G+lHJt13MRoy16nZvRyfiuvdVBbN2xPHjv+yMsQRDwve99j0ajwf333/+pJSurYNs2586d49y5c6RpOs98ee6558jzfCnz5aPQyN4MZte/2Wxy8eLFY7v+f/AHf8BP//RP8y//5b/kp3/6pz9Tn+utiNuEZYrP8hdtlkPwx3/8xxiG8ZGL66WUN01Wfv/t3+c3Xv2NYoxqOg61mIsyikcESVBkmATtrfP3ZavM3nivcAwThd2xoRkESbBkdbzKWWz5ZIoRNV3V6QZdNFWjYTWKdnjcJz2Um9B0mwUJWXF4URRxrX0Nz/M4u3OWVtCmbFUwVYMgDRke6to4epFef2Qs69ABWqrF1eHV6X8LPN3D1ixyimsZpAElo0SQBktkZnk1WaKkCpNJwNXd95ASLNvCtixMyyKdjlw5uk0ui66PYzhYmoUmisDNKIsYxxOqdpX2pMO6rpEQotCVrLHqhamJwgbHsIpVWU2IZGFP6pouN4a7S9+TOI5ptdu4jsvpxmmuDVaPqgHseE32hi2EIlAVFVVR5t0dVSjYukOcRkWWCgLyHPU730G89RZKkqFKwSldJ3/0UbInnphaHRcFtyoUwiTCNizyPCfNM7IsLSpk06T6p/4vuv/994tRLilB05F334W8914A6k6FvQ3dFd/y2I/Wk3RbtxlvCB90TWejUUDFKa3tngDUvMoBYVpAHMe0W23KfgnNMtaO0sF27ULV9dlfIDTjKGAcHZyTbqqkSkijXioc3MKY0ThY6hRahrmRsOjaQYaMYKFT6ftkWU4YBpBJ9trF6NjMdWzRMlkRgv4Wh7Gy6y8FY65Ckhb3097CaJnhG5QsF5kLkjBjsM0dTFXZ39/HdpxCLL3iNfGW624YBv0t+paS69KKNxPaw65d4zBgPO0O6a5G2fVQZDGKlSar782+Zx8hbYdxMzqZbWYHUNhTr9r3hXMnt/7tDLMxpGazyX333feZrzV2dnbY2dkptJjDIfv7+7z77ru8+OKLlEolms0mjUYDz/M+lmsxG8NrNBrHev3/8A//kJ/6qZ/in/2zf8Zf/at/9TP9ud4qEPKzGj7yPpFlGemWm/anFe12m+9+97ucPn36I3MkmelVbrazksuc//Tif+L/e+//27rvk95JsjwjzMKNYvFNpAEOrI41oXFjfGMr+dlxd1ZqR4QQlM1yIdxPAmzDXjsCNZ4UgXiNaoMTlZP0wqOrx7pq4Bs+ilCQMmcYj+aC+7Xn6jTZn6wv7AF2nCa5lAghiNKQYTxaGpuCIkQTKQiSAImcuygFQTFuY5omVa+KZVkkcv0Ka9WqkmUZumqgCoVc5kRpzCSZzElhw27Q2pDFUrWr9Cb9I8c4g6PbJGl2pMM2g6mZIFmyng6CkE63Q7lUolFpFLa7WQrBBCaTYhTLLTqNJctnGK53JGs4NVrj5YJdvPkmyqXLYJo0hcO+kkIUFp2RP/m/IRfyjCp2ZaXrmCqKUS1Ls8jiGO36DdQ0hXoTMe3UaCjkUpDlOXJKdvIsJ85TkjTBVA3iJF1LBizdIoqTlTlAUHRPpJSkayy/BQJTM4+YBSyi6h51H5vZdvu+z4XT51daMc/gms68eF2HkuNt1Ng0SlVah0iApqr4louu6CRJoYnZNNrUrFQ3WioD2IbNJAwIw3D+PyllMTZmWZxq7mwM5gSolcobXcgM3SBONncAmuUqUZxi6QZhkB0RosdJQjAqbKlLpdJKsmLoekFYNtwPG5Uyrd5mMlIrlen0N9tEK4pyZNxvESXfZTAcF/dY10NTdIJxzHgh82WnXmGv3dt4LJWStzELRlGmx7LBacz3XIajoyTtS4/cy1/9yZtzgJq5UZ04ceJYV/Y/jYiiaD461ul00HV9PjpWrVY/ksyXMAz53ve+R61W44EHHji26//Hf/zH/PiP/zj/5J/8E77yla98rj/XjxO3OyyfcVy9epUXX3wRgHvuuecjcQJ7v+L6STLh33z/3/Bq+9WNr1OUwhlslnAPRVHqGz6ZzAq9Sp7PHb426SYAwiTE0z2uj6+jKRplqwyi6KQsFsFzx7A1QvfZiJgqVMpWmWE0pOEsd18WncBO75zGt0sryQpAksV0gjZVq8owHhamAk4TiWQUjYiyg+JKIKjbja1kpWbVaAcdsiRG7O/BeIJq2bjn7sawPbI8I5NZ4do1tX8WCEzDxDRMyqUySZpAXPjV32jdQNcNbNvCsuylrIWyWWYQDtd2qyzdomZVSbKUhluMpEVpSJBGReo6xdjaMByuJSuqoiJQSbLVhaYQAkuz6C/kyozGY/r9PrVqFcd2MFWLftBBvPACypV3CvcsTS30HY8+RqbLtWTFUHUG0dECSLz3HgCeatIS0wUPy4LBEK5fgylhqbtV2os2xgvIZE7NLh24iu1UplskjIp/a3oN9te5kk0tc4fhGF3RppofpTAzyCVIialadMcDoiReqfuouiX21jmPATW3THtF92QGx7CPkJUgCOh0OlQqFVzHZbyhewPFSNomwuLZzkayAqwshtMsozsdvar6JSbRCL/iFuOeebGKvjgatK3bUHJ9BqPR1KGvsEyWFJ2kMAgYDodkYUSYZdPfizXvcs+gqdpWnU3ZddnvbSYscZoymIyY7cnwdEq2h8wFrf0e/W4Xy3HwN4z/lm4iB2ZbN0JV1K3jYCXPozfc3HUyp25TUsqlDBy3YuFMM19uRijf3+IgVvY9uv3Nx2KbOqtO6aGLd278uxlmblSnT5/mnnvu+dwXtaZpcubMGc6cOVNYm08zX1566SXiOF4aHbOmAbIfBjM3tmq1eqxk5dKlS/zET/wE//Af/sPbZOVjxm3CMsVn7Ut3WFz/zDPPbE27/yDv8X7F9XvjPf71M/+aKItoOA36UX/livnckWuyXERFaTRfQdcUjbpTR1M0WsHmAn6WiTLTjqR5Sjs4cPiajY6FSYimakvOYqtgqAaWduAYNtPQzJzL+p0+RHDnqTtRNJXRxvGuovvQDjtImZPm6VxXA+AaHo5mk8scRahb9S91u04n6CInI5RLlxDdLsiCCgxfe4X88cfxmmdJshRFKNSdOopQiLOYcTyar7KX7BJYoDs6XubNOy+DwQBN07Asi53SDuNovH60DigZ/hrHMIGlm3hG4Y5kaSZcu0b67hXiOCSolcjPnAbdoGyUj+atLF4/pzHPe5HAoP//Z+/Pg2U77/pe+POseey59zk6R0fz5EkSkh0wGQiQAJ5iXvICl1xuSG6Sl0owKZLUS6YKlaLI5YZKQVJUkjJUXTs3kAquAoID2EnAdnjxTUiQdI5kjZasI+mMe3f37nnNa71/rO7ePa61JW/ZstnfKv2hc/qsXmv12r2f7/P7DkMm0wmtVgtd02jZbQ5GHcQzzyB98UXQNLBMiGPEK6/QjjVu/LGHFtHB63D1Ct1tUrQ4BgFyKpHJy/cgg2RG4oVU2CuiSGqhN0VXjNXOlo2/1+iMcu/UtuW+pmgk3iDvMZJy2YauaqiyhiLJ5OI2Qd2pEMYRXhBsTGqiku+OdTnZZJJPFhuNBqZpUrerhf4XSUilC3hTM3Z6ZPK/11ekU7vehwxG3oQRR4tas2JgqSaKUHIJWQF0ZTPCVQC6pqFrGvV6nTRJEJMJnuczGAzynxfTxDQMVE2j5jp0+v3C94mSYuKkq9rGFCeMIjrRIX7g0zvscu+dd2JbDr4fMxxtv3dlvxdkWWawZdKwjKpj0yshAKpavoO+y0cz8X0mvo+ua6SktM44kEj0B9MN6VjNsekcFj9L65072+AHm7+XhBDH8q/MSwnPnz9/omlUXy+QZXlBTu6//34mkwkHBwdcv36d5557DsdxFtKxSqXyuu/fnKxUq9UTDTh48skn+fCHP8yP//iP87f/9t8+/Vy/wjglLF+HiOOYS5cuMZlMeO9734tt26Vt968Xr7dfBeDFwxf5xSd+ceFVgVW/yiScMI2meSJXWpDINYMma0zj6SLNqmpU0SSNaTRdaXk3lLy8blsnSn4xMAgGGKmBIhT8yKdttYmzeDHFWYat2qSkW88vTmJe2n+JjIy7zt1FRoapmtiazSgYbZV6Hcm7tu/uT8IxQRxgqxaDoIerORiKSZImjMLRij+lZbboeF0gQzz7LKLbJXNdkGVIU8RwRPXis3h/uk046zeZF2xC/nk4mo2ju5Dl07AgCUFmkcufphlB4EMoeO36FRKShY5fX4uAbZmtoxb6LTc+ThP8KGAcjBHPP4f0whchjkAIpFfAePUK1W99P5EkaLstyCDNEsIkzqOV44CmWT8iKxkc9g8J5oWEikLNrHMw7kDgI736KmhqPgUB0GTqsczBjVdgeCdUqxtn2bQa28kKkJ05Q/vqIR0jZmGUSBIQEjQb+b+361uN9nPUzSoHOwooASqGU/jvXcPZjEleQtWorCSLxWlMHMQwS/tqOU06S++fyWAoGoaqo0gquqIRhBFV28ELAsJ4dSGnSPKCjGRZxng0ZjQe5WRRzws5y74fGk6VzrC/8+8lIUrJiGs4eAUeHlmWd5KiecfGXrXBJBljODqObkMmmEwDPP9oQ6JM6lV3XLrDAY7j4CxFJvu+T6fTQQhBGoSEWbozMllTNQbjEgO7ZRFskWl5vkev26Ner6Oa2mJypjsqjulAAoPhlDhOUBSFfslkpO46pXKw43z/lxVbWkZ5WaRrWXQO+wvZn1BEHkggqUxn0rHjaNyLSkcBNE3d6g2648JZbKt49380Gq2UEp4uaoshhFj8rNx55525563b5eDggFdffRVJklY6X9anlesIw5DHH3980XNzUvf/mWee4UMf+hB/82/+Tf7e3/t7p5/rVwGnhOXrDNPplMcffxxd13nve9+7KHQ6ScLyRpLA/vvV/86vPPMrGyWA670oZ+2zpKT5hKFgg7GqV/Fi7yheN4OBv5Q+o9mYiolAMApHK4b7bahoFYI0YBzlr5tPOGQh0zAbyEJmFI3QJZ1pPN06FYriiG6ni6qp3HPunkXE8oI8ibyZ3ZBNwiRk6A/ynf+SjhVN0dEljUGQX98oHC0Z8sWCwKiSRtebER/PQ9o/IDPMnKwASBKuWSUYHBIe3IDmZqR1lmUkWcrAHyyITE5iHHRFX0xiUiMljCMM1yAIAnzf5/DwMI8c1nVM0+Rc7VyhZ2V+3L7Xh0Ef6cUXQZbInFp+LkmCe63Djaf+G9nb37H1GK7uMIk8XNNFRuJgv4MjWdx9510IkcfGpkmGJASp50MU5YWKMyiZwNNUmHgIzyNbIyyqrDIOdu8uq3c/wODV6zDsg6LkjClJyc7skZ0/j6Eaxclcqkm3oIDS0iw6o92TJUPVC6cviqQU9q4ATMPVxZsAgjgkmCW0NZw6vWl/8ZeqoWBqJpqsIiGhSRr98Yix7zEYDPCm3kp7vbmcXrYDRb4GgLpTpVvQ7wIw8ounAHXH3fC3rGMuSfPDYMWvMycwmqzR6xcTp3VZ4XrIRZokjCeTXDKXJAvfi2EYCx1/1bY4KJnAbLtn0+mUw8NDGs0GVbeyQnqCKCKI8mdJKFCruriGzWF/UjhVKiMAQohS479rW6WEJY9nLjHKr13zunTMqZsoBtRqNoNZ6tg6HMssJSwVx6LT23xmy+KM52TltttuO9FSwj9K0DSNW265hVtuuYU0Ten3+3Q6HV588UWm0ymNRmMxnbEsa+XfhmHIY489hm3bJ0pWnn/+eT74wQ/y1/7aX+MnfuInTsnKVwmnhGWGr4cH8PDwkMcff5xbbrmFBx54YEWidVKE5fWa67Ms45Nf/CS/8/LvlB67bbW5OT1KeFr0q2QxA3+wkKmsxwdvwyScoMs6w2CIEGLhMekH/Vwas4SG2WAYDLc2qidZspB9Nc0mYRpS1at554t/ZBCfm4ttx+bus3fnErX135WzrpYRIwSCttUmSmNaVhs/8hZkaRmmasKMdG1HxigcYSgm18Z5Ypit2lihihTITExl0ZpRSzSmckREgkiSrQsRQ8kX88tTlyzLGIfjBekzVZMszZBkiabWQHFkkixlEk4ZToZ4vkfmwTO9Z9F0FcMwMU1jw1TZNI8ikMXBAYQRWbWy+PsaOj07QFy7tpWwKJJCkmZ4kUfiJ3S6HWRJptFszDpucqP7cF446jqYsooaxMiyjpQJtFQiCKbYQiOotQjVnEzOn5GK7tKd7CYUlcYenT/5xxEvvYR07TqZLJHdeivZ3XeDrGCpFr2wiHAYTIPdiydTNQqTu1zd4SAsCDKwqhwUeFOaTr2QCJiaweEaIcob7OfPY4at2YzjCf1xHyEE9993F4aqkyQZfhhiaxZewTnaulU6PSn6WQeo2S79kolEkcEawLXsnU3vcwLTrNTwmWBVTGzNIkkyRqMp0ezYeVTx7msRQnCm1UZWFCrVKnEU4fv+QkKnqiqmaWJpOhkbNUgLaKq2cb2TyZj+YECz1cTQjTy1awfpyTLoj0dIkmAcjzArBo5uEkcZg8GEdEnmW+ZNqbpOaaO8oemlhGVbh8syFFkq9aYoiszNw/xZU22FiuVAJjHse0Sz45umXkpY1qfqc7yzwL8yHA557LHHuPPOO7njjt2vO8XxIUkSjUaDRqPBfffdx3Q6XRj3X3jhBSzLWkjHLMviiSeewLKsEw0XevHFF/ngBz/ID/7gD/JTP/VTXxdrxa9VnBKWrxNcuXKFZ599lvvvv5/bbrtt4++/XMKSZdlisgLHM9eHScgvPfVLXB5czv0q/mBrV4ggJxTr3oz1fpW6WUeXdQ6mB6ULmLbV5sA7Sgybe1IWEjRJZRyNcVSHjtcpTQxbTiAbkS9IVEnF1V0mkwn73X0q1Qp3tO8o9b8okoKrVdifrk5WDMXA0RyyDMbRGE1SCdNwJfVq+7Xurdy7STRhIqdINRUxGmPqNRqJRkxGOgmINZ2sUtk4jqEYCCFWyMrGa1QDEPiJBwl40eoixLJMbm3eCmlGEIWMxkN6o0NuDI4WY4Zhcq56bjUkYe3+W6mEJ1JSAaTbP5uKVqE3PSSKIzqdDoZuUKvXFj0yeUTx0XtEqkR8561IX/wiRCktyeJq5kMakF24ldSSIM3lhZIi0TSbBFGQ97lIMvmTKvKfgzRBlVRG/hjJdknf9SDJux5cOb+aWd0or1xG1awUFlRWDHenUR9yMtMp+Pd5b0sxESiLEXZ0G6/Af1O3q/RGA7rdHkkS02q1GAajRc+OJCTSOKZSMdFkDYFEGEVMPG8xISgz2+ekqcSTUFKIaRlG6b0wFH3F17L5HvKiuX4aeEdEUxa4zjzqW+Vmt6gQlkUa5XJksuu6ebGm75PEMV98+UuLyGTDMDaklhXLWpFpjcYjRsPhzLOVy/CO402ZTyfmkjgAxZSoWS4ikxGZRKfXLzxOWdkoUEi64XgdLlXHoVuQQgar7fZRHNOdyQyXpWNzb9kuSJLY2m5fr7qcP7u9aHkwGPD4449z1113cfvtr79U8hTHg2VZ3Hbbbdx2223EcUy326XT6XDp0iWiKELXdW677TaSJDkRwnL58mU++MEP8j3f8z38zM/8zFumBPOPKk4Jy9c4sizj+eef5+rVqzzyyCM0dxTWfTmE5Y2Y6/t+n1+8+Iu8Onh18WdCiIXPZBzl/SrrZvhdSLMUgeDa6NoG6VjxYCBo2bub1pclaG2rzTSe0jSbREnEMBhuTanKu0E2jxemIZdvXmY8HtNsNrm9cTtJluSpWTuOpckahmxy6G3uei8TtKpeI8tSKlqFRF1ttl9Gy2pvv3eyRHbPPYgnn8TsDrhpKSRxBCJDuutt1Opn0SSVKI0ZheP8FzkUkhVN1pGRV/xB6zBkg8Pp4REx1aGm12jShAhCPyTuR1wevIyky0iqhKbpedGiokAQomgGciYxJUKEEdntd2y8z57VZn/cIQgDup0ujuPgVtwFWamZNfa3+EKyd7yDNMtwXr5CPxyBKpPddoH0oYdWtrNlITP0RzvJoiIpeax14udGdklBk1VUWUWWFGQhIaPScmTSWVxwGEWEcUhKmntxyhZOonghaOsWXrh7IdiwaivelXXUrGqhXEyRVQ4nxVKuNM04OOggBLTb7Y3vhoZTozM6xFt/dGWwTQtLM5DIF6Njb0qy5Z7YRvF1KrJSSmgc3SqUGx3HI1N13MUCeBXZwsRfcyoIPaZuOihCxfejlcmCrmkrEqZlyLKMbdu0a3X2D3v4QYDveUtSS2OROjafFmVkjIYjxpMxrXYbTc37tVRF2fk+c9Rsm+5wmw8vXUj4WrUqlbqeR1r7MaMtxv2yaYVtGkxKXrNeKLkNx9nZnuz4jOfSMU1VCaMIq2Zgz1LH1qVjVdfmcMvE6J3337H12P1+nyeeeIK7775762bhKd4cKIrCmTNnaDabjMdjLMuiXq/z6quv8swzz1CtVhfTF9u2X/dk5MqVK7z//e/n/e9/P//iX/yLU7LyFsApYZnha3HMNzfXT6dTvumbvgnbtne+9o0Sljdirn9t+BoffeKjK56S+bGW/6xpNtFkLTfNF0CVVGzNXkwu1n0vjuZgKAZhEiILuTTeeB6XPF/oz99flVWqeu5h6Ad90iylpte2EoIsyzg8PCQIA245cwt1u86NyVH8sirn0xcJiVGYL3xN1URkEsOgpM/AbDDwB3ny1syiI4RERa+iyzpRGjEKR9T0WuE0Jzt/K1WjzuCLXyAZDcCpkd1+G8mtF+gHR/fPVCwMWUeWFGzNxo98JuFkhXCpsoo2K/LcBVMxidNk6xQtIQEV2m6b3rRHOkscC8chhmxQtetUz9+N+tKLqHHMgZEhSMhqVbK7V7XgDbPO/qSTewAOe9SqtZVnX1d0vNBj6y63LMNDDyPe+Qjh4T6ZYcCWyNeKXimUgtXMGp3xmpE9jWFG+Np2ixujG5v/UMrvZdNu4oc+zUp9kVyVpilRGhNGIaZqLqJ4t8HWTLoF3hZFkhmUTBTKzAl1q1IoJzMUjRdefhFFUWg0Glu/G9YN+suYhFNM3eDmaDZpVMC2LUzFQGQSQRgxnk4ZeSWmcLuyUia5iZxQFB7DqdAt6EQBFjKpXdBVfUYSshWipzsaruGQJQJFKNzs7b6nkDfXCyEwjbzANQOiMMTzfUajEePhkF63lxe7ziRlecDEUXpZxXHolnhgspLvciEJBuPJbAo3mV2Lims6ZAkMBlNMw2C0ZRqxDMswdqZ/zVFG3oWgtLjSNsvfZx7hPPX9BYGdF1bOU8cUefuyaFuc8eHhIU888QT33nsvFy5cKHzvU5w84jjm8ccfR1VVHnroIWRZ5t57710EXBwcHPDSSy+h6/pK50sZ+bh+/Trvf//7+bZv+zb+5b/8l6dk5S2C0+LIJQQF0oe3GpbN9Q8//PDC4LoLFy9epFKpvC4j4Bsx11+8eZF/+9S/PTLD70BFrxAkRxHFhmLg6i5REq14Q2zVJps1txdBV3Q0WSNMQlzNzc16YX9Di6zJGqZiLgzsRcer6lWyLMOLvZWFepIm9Lo9MjLO751HV/VSU3/baiMhESQBw2C4U9LWstp0ve7Ogj8ASZKp6TXSLEGTNMIkYhhuHrNpNjn0D/M/z7Ktkb3LxZHLUCQZR3NQZY0sTUnJFl6ebdBkDUWohZ9TRa8wCScrHqIsgzAM8DwfbzrlzMGE6PAaagbm2fOY970NxanmyUppSpalTIOAg/4Bw+Ewj801zMXx8lLPCn1v9+fbttscTHYTvabZoFsg5XJ1l5FfTNzCONrwSs0hSzKKpBAUlAK6mkOUxoupjZhFDydJQpTE6IpemAzWdlqF05WqWSkkNBICVdF2nmMUR8SjAD+LqNVqW78bKpZb2ptSMR2GBYSk5dSJ4lx+l6Uwmk4Jo1US5Jp2YXN9zamURibXnSqHBcEAuqoRxlGhdLRdbXAwKCYjFcvJCyYVkzDIix6XNwZMXS+U4AHUHJfXrl9nPBqTpHnSVy61NNA0LY+odl0OCzpPFFma5UPs/p6puW5hb4okCW5ptAmDhPHIx/O3PysVx2ZYEIusyBJpWuxTqrpOqWSsXa9xUNIn06i6hfHLQgialSoikxapYwC6pvJ//r2/iqIcTT17vR4XL17kvvvu49Zbby1831OcPJIk4fHHH0eSJB5++OGdxZNJktDr9RYEJo7jRedLs9nc6Hy5efMm73vf+3j3u9/Nv/k3/+ZNKbQ8xRvD6YRlCUKIUi/DWwG9Xo8nnniCc+fOcf/99x+L/SuK8romLK/XXA/wX17+L3z+yudxdZdBkBcobkPTbNL3+yvdHctyqPmkQ5GUPK0qLpETaG4+dZjp5uckSJbyhC9JSAyDIaqkkpKWkhVLsyBjpTjSVE0czcHzPV668RKKpnDhzAXSLC0lKzWjxqF/uDD1y5JMXa+jCIVpeBTB3Lb3ZtOh3c+gIqk4mk3PW12MykKmZtRy30sSoQo19+bMj/U6yApAnCb0/QGKrGApJsNghCZr2JqNKinEacIknBAkQR59KxuL+78NtmrhR/7GIl6IvFBM13XuOXcP11vXCbwz9D2fOI7Qutcxp4e5ll8z0GSNG4fXibyIuy/ciWM5SEgkaUKcJhiKyc3hzZ3nUTNrHOyIKIacqA4LyIg0L2MsgKmYJVKtOgej3efQspuL6Y0fbR6nYrh0vA6qrmIoOqqsIgkZQb7jGMVJKVGQSnwHDbdBZ8d0JQxD+r0+pmlSq9R3G8Ol4k0Ut4SsQJ6ENVjrqDFtA1uzc/lfJjg4PGS3PR1kUfz9qClqKaGpWE4pGVlOFdsG2zAXn8vcK6NaCq7pIjKJycTHMa1SwpKmKWEYIkmCVvsMURThez7dWWSyYzv4vjfzvWy/9qrj0h0Ufw8qJb9X0jTjcDxcTCqcuoWpGoR+wmCYE0hd1wrJCuRkpNsvibAvibIFNojsOiRJ2upNWYZtmitJcnPp2J23nFshK91ul0uXLvHAAw9w7ty50nM7xckiSRKeeOIJhBCFZAVydUm73abdbvPAAw8wHo85ODjg6tWr/OzP/iyf/exn+fZv/3Y+/OEPc9999/GhD32Ihx56iI9//OOnZOUthlPC8jWG1157jeeee44HHnjgdY2gJUk6FmF5I+b6OI3598/8e/7g6h8s/mzZZzIKRwsysmftse/tF8pR5pHBNyc3891Cs57HCoebnoK6WWcUjLYnfKVHCV81Pd8FVmQFWcg7SUZVr26NLfYij/64T7fbpeJWuPfsvcciP9sSzZI0WemEMVSDptnEi3wUSdnqVYHcQ6Ir+oocbnHMLKE/S8ZqWW163mFehimrhGnMOBgRZ0f3yFIt0jRbtNxvgyzJefeLny8mwiQk9FZ3US3VwtVcsizLuxCi6eKzXj7vNKNw6lY3866TuQm5UqkQx/GsrNLPSwitBqNwRJpltFot/CzAnxw9Dw2zzs3xTWRZwlRzk7c884EkWUKcJDOJ0u6Hz1IsDsP+zr9vWU32x7unMw2zXmi0tzWLTkGMsSxJjIMSsjG7piiJtsZrt+0Wk7iHZRkYin70+jjBDwN0Wd1I/lqGQOxMLvMDn263y51nbyMUu79PdFUvDAyAvICxSLRmaeZWo7wX+gtC2Ko0UC2BozsoQiEMI0bTKemMVKqKUurDqdgOnX6RpAy8EjLimFap7Mw2NsMFoiReCV5wVZ12q0oUJgxG4/UsCgxV40uvvkqSJLTabWRJRlVULNMiIyMMAgxF5frBPkmSohs65iIy+ejXfdnGnBAwLJhaQd6JsjzZGnvTRbGn5qpUTAdD1rm+3y/+3XOMPcLS3hRVPVa55eGwWCZp6RrjpWuaS8f+7J94dPFnnU6HJ598kre97W3ccsst5Sd/ihNFkiRcvHiRLMt45JFHXhepEELgui6u63LXXXdx6623cuedd/LpT3+aj33sY4RhyK233sr3f//3EwRBaefLKb6yOJWELSEMw7fshCVNU55//nmuXbvGww8/vNNcvwvPP/88SZLw9re/fedr1s31QohSsjIJJ/zixV/kpcOXdr9IQFWr5p0bQb/Us5JLdrb4UESeDKXLOl7sYSrmsRK+WmaLnr9KGuYTk7nZPs3SrZOfxXVO89jRWrXG7e3bV0iIozmYqkkYhytm+/Wksu23RtA0W3QWPhlBRa8svCrDWZeLrhgoklx+76w2B9O8OHL9fVzdRZf1vKYl9gsXxookY2vOhg9pGZIQVPXaIkJ4Dk3WsVULRVLz80iZFWNuh6u5eJG/lXTOUdNqPPfq86RJSpblkcrmrDlc03QszSJO4q0L+DkaZoPe9BBVVjFVI59MIC9Sv3TZYH+0O4HO1R3GwfZuB8jvmSK0rVOROepmncN5p8kWtJ1m4fSlZtYK5W6KpCAyUXgfWnaTMIlmqV2CJEnxgmBBAnZFHXvelF7vkGa9QcWtFPpT2m6r8Do0RSNOokJfSNttcjDYfQxZUhCCjUmuLEm4hosmaaiyyvVud2dMLYBjWIuF9ja4pl1KRo4jB7N0szDC2jEsxkuERpFkKubMBzfx8LyANAjpjUa0mq2dk/Wq49Afj3LC73l4vk8UhqiqimGaOJaFoqoLUrcNNdcpLZTcq9fZPywmejXHYTCZULNdFKEwHod43hH5k4RAkqTCHp7jdLi0atXScstWvUanRDK27b2EEPyTv/n/wbUtDg4OeOqpp3j729/O2bNnC491ipNHkiRcunSJJEn4hm/4hhMjFP1+nw984AOoqso3fdM38du//dtcuXKFb/u2b+ODH/wgH/jAB07T394COCUsS4iiqPAX21cLURRx6dIlPM/j0Ucf3ShLOg5efPFFPM/jXe9619a/fyN+lZuTm3z0iY+WmtxVWcVSrcXi11ItbNUmTMKVCYUkSdSNOt2CssE52nabSTjBVm2idNX3sow9a28jPngdiqRwxj5DEAcMwsHKYm+RwjMe02g2uNC4sIg33nqtkkpFr2AqJgfTA4ItzfZH1ytT06qF3hBZUmiZLSQhGIfjgj6WzXjjbbAVmyRL8JMAW7WwFIs0yz1Cc2mYLCRc3aVfQFbyyVdjQ5q2cn1CoqJV6ft9ZCFja/ZskZwXE06i6WKBvT6VWUZVq/LCqy8szN3ALEHJx/c9BIKaXSdTMgzD2Prstu123na/A5ZmEUbhTFaWT7Lm3pEsS4mTBAWZ7rS/9TnL36N4kd6w64Ulj7qiEyfxTu8L5HKwIsnantNif1hADg1nZ8GiIilYmomt2sRJQhQnTHyPKI4YT8YMBgMajQa3tc8XmvFlSUISSiFp2nOb7BfcK0lIyEImKiJFlUbheQA4hsM0mFIxK2iSShDGjKaTxWK9qHtl8T4lZEQIgaaohZ6kiu0yLEkhy99nOwFI05TpcIyj2biVOuOJtzF9AdBVlSCONr6fkjSPTPY9H02SGAc+pmFimLPI5DVJXatW29nhModtmky8glRBVSWKo43zdMw8AjoKEmQhF3pKAPYaNfZLopXrFbd0eqJrKkG4+3nSdY0g2PwM7zh/C3/nh/4X9vf3eeqpp3jnO9/JmTNnCt/rFCePNE0X8cWPPPLIiZGV4XDId3/3d1OtVvmN3/gNDMMgyzJeeOEFfvM3f5Pf/M3f5Pd///d529vexs/93M/x7d/+7Sfyvqd4/TglLEt4KxKWyWTC448/jmmaPPTQQ6Xm+l14+eWXGQwGPPzwwxt/90bIyvPd5/m1536NIAlyv8qO3XFHc0iyZGdcrq7ouaQozUhItsqdlqFIChW9srHIn/tesixjEOQJW02zWdqJAmsTndk0SFPy9LIrN68QhAGtZivvDikhBEKIo/cV+fTAkPMEs+XpiyIp2IpdKimraBX8JCCcER9N1qnoLiCYhBO8ON8NPA5ZcVSHKI12kihdzj8LTdYZBSPG4WjroghyaVRRiz1Z7lXqFpAxRSi4egWBQBYyaZYQxAGTcLq4T6YwePnqK+imnpu71xZWGRmu5HK1dxXP80iWm8NNE1mSqOgVxsFk5+RECIGruQz93Tr6PbvN/qibpzepBrqiIwsFIQRJmiAj0Z+MtiakQb4Az9PLdhOzZe/KNjTt4jAAVVbI0s2JwzIadqNQslY3axxOj57JLMsIpgHhNOD8LedRFY0sFYWSspbboFOQYCbIJWN+tJvMt5zdHpo5XNMpTBDbZfqXhYRrOqiShoLCjV5359RMEgJZVgqJ03FM/a1Knc6weBphasZW6VmSJHQ6HRzDwnIdhCTy7zvTIUsFw9FRKeJxiEbddbl+cIDne/ieT5al6IaRExjDQJYlVEUpLHJ0TJNxAVk57rmcbTSJ45QsEfT7063SsbJmelmWydKs0LRfZvyH3ROYD37LH+fhe27nC1/4Au9617vY29srPM4pTh5zshKGIY888sgbXgetYzwe8z3f8z1omsZv/uZv7twMPjw85D//5//MI488wr333nsi732K149Tgd5bGN1ul4sXL3Lu3DkeeOCBLyt6eVes8Rsx13/+yuf5xDOfWPyCkMWRuX25HLJm1JhEk8Kd1iAOUCWVJEuIkoiG1UAgtpr2dUVHl/WtE4koiRbkRJM1mmaTJEvQFX1nl4YsZKpGda3AkJzweHkSmCZpvPP2d6Kr+kps8dbjzTplFiRpqdkeZkWThouCQpzGhZMVgJpRZxyOVzwtYRLQmR5dj6GYNMwGYRIsUtK2wVEdwjQs9JFEs939a5Nrs+uRcHQXTdZI0oRxOCZMwpnsrJgclSVxzSVq2/poJEnCUR1ELNi/uc+55ll0y8DbMoVp22064w7VanVrc7ipm0R2jFDEzh25ttVif7z7ehzNWRQ0ZlnGNPSYhkvdPyJ/TSQCVE3DVA00Sc3DALKUOIkxZJObo93v4RpuobdFCFFIdgCqRpVOwdTC0Z1CsgKrSU1ZljHoD/C8Ka1Wi1E8pqnX6Xk9VCOPwFYkFdKMaRAs5E5l59l06oWFlwBhwbQC5mSkeEddk7cvapIspT8dIksSAgnFANd0kZGZev5KNG7dre7oXjlCWXGiJERpxHTVdhlMNslVEiccdA7QVI3bL9y2ID1REh3dQzk30euyjijZb5NlmcFkvCD1WS1bmPZH4xGHhz2a1RpDMkzD3PkzYxlGKWEpknlB/nPTHQ4W5aWSLqhbLopQF6ljlmGU+lfqrlMqB9O18gXuLp/N2ZrL008/zYMPPki73S49zilOFmma8tRTTxEEAY8++uiJkZXpdMr3fd/3IUkSn/zkJwuVK/V6ne///u8/kfc9xRvHKWFZwlupi+XVV1/l+eef521ve9uJRCauE5Y3Yq7Psoxfe/7X+Nwrn1v58yQ7MrfPzfa2atP3+4VkBXJN/zgYL0hOb7p6nLlpX5XUmaejeCfTUI2862AyS4oSLDwhfuwvJFWarGEoxnbyE0d0O11UTaXZahIT0x13USSFmlFDEtJGAICmaOiyvmKm3zhuGhFEAV7q4cUejuZiKuaKV2WOlS6WAjiaw7XR1aX/z4+ZZinDYEiURriaix8HROnuRaCETFWvrpx/kqYbHpazzhniNKZltwjjkHE43tjZ3LP22C+RCTatJp0dhCbNUg76B0wHHrprkOoZXuLliWWqlcvKRN46P16SR21rDjcyg+uHN3IDpapgzHaSVU1FIKgalWJiJQQSUuHubctuLeRmURISrZFCW7U48MYoqoSlmmiyihASaZoRJhHTwENCUGR2atlNDgqmL7qiczjp7/x7yJ9Rgt27zDWzsjC5Z1lGr9cjiiLae3uLhWs020SIknjDS6MaKntOkyCO0TWVsecTxpvPXFgwAYJZ1PGWxfvKe+3oyphDkcvN9nW7upgELRM5w9ZxDAcSICtOylJkmcNxyfscg/SoW8hVHMccHBxgGAa1Wo1Jgf9l4I0wtQgv9DFcHddwSKKMwWhMkhw9VzXXXelnEQg0VUNTtTzoIomxVI1r+/sMBwMURcFYi0wGNsID1qEoMoNxeXP9sk9mnjo2h1O3qFs28lAwGu1+v+NIRKYl/SyyLDMYbf5smKpC9+Z1HnzwQVqt7S33p3jzkKYpX/jCF5hOpydKVnzf5wd+4AcIw5BPf/rTOFu6uE7x1sMpYXmLIU1TnnvuOa5fv86jjz660Ox/uVgmLMtlkHA8c70f+/ybJ/8NXzj4QuHr5mlRV2eLaFd3MWUTL/Y2/BctqzXrHNn8lbNcDlk366Rp3vo+JzDbMO92GUdLvygzVkiOqZjUjBpxGtPd4r8IwoBut4tt25xtnl1Me4CNqYiruxiKQZIk+fUVxPoCR8RhtqAdh7nsCnKvSt2ooQgZCYl976Cwi0UIQcNoLpn12TgmCPasNkJIqJLKMBgRZ5sEUhISVa1aSLYgl0XdGK9GBkszyZUu66RZiiJUbo53xwrDrKV+B6HJgNFwhPAFVs1ayciP03jxWeqKAVlGEIeoSk5kVElFCEGUxPixT8V22R93aLVapGmKH+RllQedg3yKY7mIWJBK2bbUZyAPMdgfFXtfyqYWeTmqNyORm89I024yDsbUnAqqpACCOInxQh8/ClBklb5XTNRd3aET7iY0ruGWnidZfhPSNKXX7ZGkCe12e5HCU7Oq9AtIQJREjKPpUQyxANMysVQLSeRFkGSCoffGJiNzqIp6LDJS5m+JdhAnPw7wx0HevRKFOBUbUzWJooTheLxiVq/ZlVKpV5noWhKCwZq/JYoiOgcHmJZFtVqlapd32jimuXhm5nI7WZOoWxVkZMYTr1TyrKoqmSTlPzNZSuD7eH6eDAdgGgbNWp3RdJoXnu5A1XZKY5PVEg/C2JsiSYJRNEF388LKNIbhYEo8K5qUhCjtZ3Esg/G0mLDUXHsjWnkynbLXqvHQQw+97pCbU3z5mJOVyWTCo48+iqZpJ3LcIAj4wR/8Qfr9Pv/lv/wXKpXKiRz3FG8+TgnLWwhRFHHx4kWCIOC9733vGzLX78KcsCz7VcQsoaUMPa/Hv3v637E/2S/sqpn7S5blQsuSKFM1c2lSEqLJWqmsCPIF43oS2Pw4y2b7htnIpVwFhmXIF48dr0OURPnExKwhMsEwHNIf9RdJYGcbZwmSYOsO8fK1CQRenBu/W1a+A9cP+htytrqxO34ZIEljDr0ebavNzek+pmJgaw7ZbJG7PB2ZF0d2vWJ/TtWo0lvqfwGRJ5opJkmaMgqHJFlCVauVkpW2vZ1kpGm68H60rCY3JzdR5bwrRpVU4jRmHE4WUrSm2SwkK/1+Hz3SUWvqzt00SUgYsr6IW46SmEGyuthwdZd+0KdiOmiynneUpAl+5DMNPYIgQM90ru1fJ8vShefFMAykGXupGJXCqQbki+tpuDvBqGU16UyKDOoy42BMEAdbpYuKqrDnNAnjEIEgTpPFonQOW7PoFsjJoHwiUTUr9KdDkiSh2+kiJEG73V79fihZeFfMykZnihd5K/61lt2kquTPRppkjLzVCHFd1egWFDhCThKK0sPgGDHEulUu0zJd9qMu42DCeDaZkjWJulnJO5Q8fyfpmUNTtGNOYI5eE4Zh7lmxHdyKixACXSnfWd7W35Jk6WLypikqiSzRblUIgpjhaMJ6f03NcRbmdUlImKaFOY9MDkN8z2M6mdAdDNB1HcM0MNcik6G4BDJHxrAk7MDQtcVrgigiiPLvKFmXqFsuMgoiFRz0iu+vqZcTlvX7MJeUvv/7v/uUrHwVkGUZzzzzDOPxmHe/+90nRlbCMOSHfuiHuH79Or/zO79DrVY7keOe4iuDU8KyhK+mJGxurrcsi2/6pm868fzvOWF5veb6y/3L/MLFX1hMD1RJpWpWF5Kj+WLYUPKY2CJfhhd5RElERa8wCAe0zHwXb1sjPbDTK7G8CFJllT1rrzCNa471TpQ4jelN88b68WhMOk25//z9mKZJz++Vkp91kjT3rgghqBpVNFnDizx0OZeeFU1MYF4cmSeaebG3VJgpqOhVdEUniiOEJArTuWDmfwnGK90rkDEOx4sOGklItK02SZrQtBqMwvFWgta2W6VJcHm62yGQEaUhh2ut14ZqUjfqJEm81ZszlyDZwkapqYXPf8PcLSeD/JmI04gwyf9jre1DVWXOV28nSCLarRZTz+NweMjhoM9hr4eu69iWjSGZhZHZLadFpyB5TJFURiWdKg2zXphepskaN4Y3NxaAiqJgaxbqTNqoyAoT3yPeIsGsmC69ErmYhEQcx3Q7HRRVpdForHw/VEyX/rR4YVjm5TBVk+74cDVlTYBtWZiqSZaBKlRuBLufNSFEYQQx7DbbL8PQDMZBwXEytqapJVm6iKW2dYsw9Wg1K6QxDMaTDR9E1S4vnFx+xIIgoNvp4lbyrgjIr7lfcj2uaTEqvS82nWEfyI+lOSqu4UAi6A9zw7u8YwNLINA1HV3TsU0T2dDzjqTplEG/j6Kqi9QxyzBLI5Frjku/RDLmWhb+ltSuJE0XJLBdr1Np5D8Dvhcx3CIdK0oGg/z+Lhvyx+M8Ee+O2y7wyDt31wCc4s3BnKwMBoMTJStxHPNX/+pf5eWXX+Yzn/nMKRH9GsQpYXkLYG6uP3/+PPfff/+bQpwkSSIMQ65fv74i8yjCY9cf45ef/uWVHdAoPTK3z832qqQyiSalkqh103wnzo+zmHSImfwqY2NSsw2C3Ocyl59JQtpZMtm221vjiDMyDnuHeRJYq4Vp5t0upmJimzZREjEIBhsL1zI529z70bbajMIRTatBlmb0gwHJlilL22ovyMomMobBADXSMFWTaTChYTaQhcw0mjKJVhdWdaPOMBgV+l8kIVHVa0denxls3cZUrNxcHk2xNbvQ4wH5JCdPQNtNyFRJ5WBysDJhMtVcLpSlGVeuX8GWbIyqWVRaPrtPxefjaE7hxEiXDfYnnZVz0V2NW6vnUFGIgph4GnPz+k2QQah554u6tMttqAb9gj4VgLpZLZzQOJpVOH3J38dcMfjPEacxA3+Yt97P74cA0zQwVRNFKCRpwjQIkEXJdMVw2R906HQ6C7/E+neQIoq/L2zdKiVFjm5tNeRPwimTMJcYKbKCYSs4mg2ZhBf4K9G5dbtaGA0N5ZIySUgbk6B11JwK/Unxayzd4GDYw5v17ghFUHNz2arvh4ymU/ySSY+maByO8vfxZ9KrWrWG7diL19SdCr2SqZOu6qWEZW5unyOMI7oz476kCRpWFUkC09Dx/O3nPS+LVBUV1VFxHXclMnk0HlF3XII0wTRMdGMzMhnK5WBAYUoZ5Kb9/mhEFMcMyb8DjYq28O/0B1M0VSmd5NTco6nSeDxmOBzSard59J1ve0v5Wv8oIMsynn32Wfr9Po8++ii6rp/IceM45od/+Id55pln+MxnPnManvA1ilPC8lXGSZvr1zE319u2zW233cbly5d55plnaDab7O3t0W63t+5gfOqlT/Gplz5VuMOcZAkCQcfrkGbpwiQ/DsdL04Ecru4uShrXsewNMRQDR3cQCAzV2FnCt5CfLe38p1l6tFCdme0N2UAWMtcn1zfPP82TwLIsY6+9x9nK2cXxptGUaZQvAFRJpWLmOtdRMNpMFtuB5QnRvGdECEHNzO+TF3lMoyl1s1FKznQ5n2ANZ36a5UmWoRg4mkOW5YuxrtctlGRIYmaw9zcXy5NosiBALbPFJBjTspoIIZhG3kZxpau5TMNpITkyFYswDjfkcF7sMfJHdDodKkYFt+6gKhqWYiIQRGnMKBgvJlg1o0pnUjxZ2nNahU30kpCQhNgqzYvTmJiYWqVGXx3gODa+5xMGIeN+hKka2JaDZug4ulM4GakaxWQFQJE1smz3IrNmVumVEJr1BZUX+YsFdH6MGuNgRM1xUSWVLMtyEhB4C2IYhrm527ZtKpXKxjFdwyklI6ZqMCmYWCiyymEJAWjYtUVS2rLkTbe0/DshE0glv7I0RaNXIsFqONXC2GXIpXpFEAIGa1OPjGwliKDRqCEho+kV+qMpyRb5WD6BOcSbevQOe9Tr9dcvBc5g7BeTFUPTN853GWmWgcgWfi27amFpJqGfzDwi+TNh6PpKuz3k98q2bGzLJiPDVFSudw44PDwkzVIM3cAw81Sy/L5mDKfFJEJX1a2pacuoOi790eommR+G+GH+DMmmRLtex/NDhkOPMNxOgOZTpdF4zGg4pNVqoWkaD953T+H7n+JkkWUZzz33HL1ej3e/+90r/sUvB0mS8KM/+qM89thjfPaznz0t/PwaxmkPyxKSJCGOi3d1TgrL5vpHHnmEer1+4u+xy1w/mUw4ODhgf3+f4XBIrVZjb2+Pvb09ZFXmV5//VZ7cf7J0YlLU5F7RKxiKwSScoCv6inxsF1zNJUqjlRJBV897TLzYW0iZdFlfHLMIsiRT0Soc+ocbvpcwDo+SwBpNWmaLToknRCBoWk2iWUv48jmtvG65iyVLEfsH0D8ERSG75Raw8t1TRVKo6TVAkGYJg2C4dfpiqvkCfk6gdqFptuj5vXw6pOYFkcNgtCK9yslKZaOdfuNYRj5BWv9sVVnF1V1kJLIsYxxNCksfNVlDEerWcw/D/DOoOBXazfbO67NUi4rqkiEI4oBxMNn6LNXNGodev/C6ck/JbiKhyiqyUDaIcm5ADvB8Dz3WGEYjXMulWWni2nkvThhHTMMpaZZiKtYGuVs5D7tRHGOMwNbshXdiGxp2vdRIXzEqW03uipxLykQoeO3aFUzHQtG3Sy8aVvH76IpOlESFJLntNDkYlZQ86sXX6+gWY3+Kruq4mg1ITDwPLzj6rPYqTfZLzPZVyy30r2iKRpzEhdfTdGp0SyY9bbfBwcyQLxBUzZw0en6wiAR2DJub3QP6/T6NRgPTNFeOoUgKaZbkhGIHanb5NKis/BKg4Va3TnI0RaViOGSJIAyTwtZ5VVWI45gsywncPDLZ8z3iKELTNPYaTcIsXZlYbpxvrc5Bv8RXV69xUNJcX3OcXHomoGrlfjZvEjKeHD0zuqbS6fYYjUYLsqJrKv/nj/11FKVciXCKLx9ZlvH8889zcHDAu9/97o2fgzeKNE35sR/7MT7zmc/wuc99jttuu+1EjnuKrw5OCcsS0jQlior1rieBZXP9I488cqLm+jnm5vr5x7vLXO/7/oK8XO1c5TOjz9Cnj2EauIa7IBHLTfIrC/IStO18IWoq5kJetQ11s9iUDvnCvabXiLOYzqSzs3Ec8kWUJmtbSVcap3g9D6fiYDh5CeBxCivz3pDVX6JzIhRnMYNggEBQ0Sv56+II6X/+T8SNGzD36Og66UMPo9xxF6ZsLSYmAEJIVPUKqqThz1LVHM0hTuNCUgBHZGXdJyOEhKvlHQ1REiEJid6WycoyWmaT7vSwcLqWew4ywjTE1fKFQJImjMLxIgVNEXl617ZkLM/z6PV61Ks1bmmeKyzQlCUZUzZXyKGpWpiKiSzkfDIySwYrMkE3zQbdacmizWwuorW3X7dBGEVM/Sme5+H5PmmazuKSDQzD5FzlFoIkRBEyaZrhRQHTYLqYaMiSjCKUnf1AMPMNFUxo8gJLs9Dw37SKiyan0ynhKEBzdCzLQlO03BcjVMI4YuxPMVRjtnu/+1lou00OilrrkVBllaAgwKJuVVcKK7eh5TS39syYmomtWZAIwjgu9K+4hr3Vm7KMdqVRmjBWt6uFSWUSAllSdj6PpqpTt6rsH/S4cv06tXp9647ycQonj/Max7AKpzCyJEOWkRSQNNe0mfhTqmYl70qZeHhrXrWissgkifF8H1NWuNHtICtK/jNjmiuRybBENHYiQ9e0Qn+KpqmEUbT10TV1HUe3kVKFF19+ldFoRLvdXgR9fMMD9/K/f88HC97/FCeFeav8/v7+iZOVH//xH+e3fuu3+OxnP8tdd911Isc9xVcPp5KwrzDG4zGPP/44tm2/KeZ6eH3N9YZhcOHCBeSazK8Pf52hPCTwAoajIT25l6fAmCa2blM18ib5NEtLyco8NWsunZrvNs+b7ZMsYeDn3SPbksC2nqtscDDNfRCarFHRK6RZutFXMidZ28jKZDpZJIEZjoEi5fe/ZbVmzfGbfgFN0TBkY6svYjkAwFRNKnqFJM0LK8PnnkVcvQaWCYqau2unE+zHniTbu8BQW13wZFm6QpyaZhNJ5B0gSZZu9HvM0bLas89jm58mZRgMUCQFR8uTs6p6FV3WCJJw5j05+ndNo5ys6Iq+SEcDFmldc9ianccMCy0nZBkrvpTJeEJ/0Kder3OheWFrvPTRBUBVq26EOXjRFG82kZGFjK3ayJKMq7sokkyUxEwjb0EKLNXaOM91tOxWYdM85NI8L/TRdR1d16nCbBfZYzQa4w19er3eou9Fnu3QKpqMpdp5/4+sM/DHRElMukVKpx4jxjjvZSku5vQLCNF4PCb1EoyKuVgoh3G4GrogBI5Vw9BVyAR+GGwsejVFLZWLNZw6nZLpShlUWeFwx0TDCz280KPh1Bl6AxzHwlQt4jhhOBmTLAV66JpeTFgyCvtOIG+kL41Vdmp0R9vPF8CLAuLDDq8eXGHvljbtWhNFKIyn/kraVxQXb6DJkkR/XPyslJGV/HzdmSF/NwxNZ+RNVoilU80DE/wgZjSabKQjrpyrrOA6DpqqcouuEQQBvuctIpPnpL/iVuiXyMGOY9qvWPZO8uQFAdPAR81gmvS5/213oakGw4FHFMU8dP+pHOwrgSzL+OIXv8jNmzdPnKz8w3/4D/nkJz95Sla+jnBKWL6C6HQ6XLx4kQsXLnDfffe9KYa+5cnKcZPAnj54mo89+TGCOFhokdMszVNgPI+DgwO6UpeG08inQUqekDU3ya//klJkBVdzt/oyluNbVUnlrHOWMAmRhFTog1g3uYdJuGH+l4QE2SxWeG1Sk5ExGo4Yj8e5f6eSJ4utd7rMY3/9xGcUjLBVm5S0VH5mablR/aiDJKP60lWsSCMQJgOifAGoVYhHA6avvQR3373zeDWjziAYLsm58smNrhiEccgwyCdey8liuyBLCrbqLMjQ8jRDEQquXsn7X4TEwaSYOKqyiiIphXKnSTjBUAyuTfIwBFVRcTQXRcgcdA8YDXPpxfn6+VLi27bbx0oo60zzRc/6JEpXdBzNQZVVwjhkGnlbfVG2anM4LYt2bm2QBAFoqoqmqlQrVUzZ5Gb/AM/zGPQHeXqSmZOXKEmoGm4uSctASAJHs9AVHUlIRHHEKJjmjfUFxCknNMUL5qbT2EoSMjKGwyGTyYQ7z91BUFAm6ugWN4YHLBNhVVdxdAdVKIRxjCZphT01ANMSAuAadul0pWbVOBgWv0/udcpWYoglRaJmuqiSRhjGO0nPHHWneHICOQHYFh6wjKK+kyzLGI9GeFOPVruFoqkr12+7FpZqkiWC7qD4fGt2pZAYQU40yghLUtLPQsbWydU4mC7S1ty6japINGSHwWiyUlg5x7wsUhISpmFiGia1eWSy7zMcDkn8AD9JdkYmw/FM+7ua6/PLyX8O4jCk0WoyCqYQTBEKNOtV3nHPnaXHP8WXhyzLePHFF7l+/Trvfve7T0xpkmUZP/mTP8knPvEJPvvZz3LvvfeeyHFP8dXHKWFZwpuVCJJlGa+++iovvPACb3/72zl//vyb8h7LnpXjkpXfe/X3+O2XfntDniIJCcu0sMx8IW5kBp1Rh+7Nbm60NzuLXzh1s44iFIbBEEmSkIRU2usxl1hdG11bvN884WsYDld2enfFG8+RZAk9r5fHFvs9XM3Ny/riCdNwupIE1t5rc8Y9s9NTsxz727JaedxrFhPG4U5C5eru1s6WceYztjOQY7RMohWqJMChAOLdv0wbZpO+31/bfc9y0jQjToqkcsY5QxiHmKq50nWxDEVSsVV7p+QqzmIO/V5eQul1UYYDGl98DeWgg+dYDO84R3b+HCBQJAVDMY7nbVr6vKI0oud16ff7+H5A+0yLC7XbiNOIptVkGk63TrZaZnmccstqF0YcB0mAK1xujG8s/kxTNWzVzv0BaYIXBUiSXLhoczSbXgmhaTk5oXFdB9d1SJKc9Pu+x2g0QpZkYjcmVdI86CJjZXENUDFcpvGEVqWGyCSiJGbkT1YitmtmcT+MIsmM/M3FZUZG/7CP7/vcd9u9jAtIJ+STRdY8JVESLYidIqu5BNK20RWdJEkZeZOVVMGm3VgkUe2CruiM2H0uEuVlk67hbE3+SrN0EcfcrrSQkoyaUUFkEqPplCBa/Zkt+84UCEZe8X0zNXNnwECWZQz6A9RMot5sbO0amgRTJsGUlttAMfM+mCyVGI4nG0lfpX0nGaUx0LqqrTTMb0PNcelPij8DQ9MW/Th5X42LLBRGY48gyJ8JZQv5WI5Mrlaq2LrOjW4Hb+ptRCarqoqAUtO+qij0x9vPNyNjOBhAklKp1Va8NFkGZ1tNjBNKpzrFbrz00ktcu3aNd7/73di2Xf4PjoEsy/jpn/5pPv7xj/OZz3yGBx544ESOe4q3Bk4Jy5uMNE159tlnFyPPr4S5/jhkJc1SPvHsJ/j8a58Hjhrpp/F0w0jettt0vS5u1cWpOoRBiOd5HPYP6aU9ukYX0zTZq+7lpmVJJiPbqa+f+0uWZT7rCV+5bElHkqSVxeYuLO/ELy/OTdlk2B2io1NtVznjntkZR7yMptnk0DtckBRZyFsjk3d7bwRZu4V47QoYBk6icEMPSaMQoQqq7fOodhs/8lemPC2rPTu/4oVI3axzdXhl8f+WamGpVi6Rm5n3FUnFUqxCfwjk07JD7xD2b5L+t/+HQ98HWYZRinH9FeyH/hjSw48iENwsmeZsm4ikaUav1yVJEvb22uw5bW5cfwGuX4MkhVYL/ex5bM1GFhJhHCMJQbeg0wfyKVR32UCfkXuFJGkhQWtZm16rMAkXRZb5a1oM/SE1q4oqq6RpwiQ8msQIIRBIhb08tmZtJHrJsoRtW9h2Ht1sSxZXu9fwBvlx5/p9Q9cRS63hywl1AEh5bLCpmiioeKG3kApuQ8NqbEw95j03cRyxt7c3L7XfieMkgzWsKvujbk5Q5iRWgGPlzfBpmpHNSeBohPB9smoVllIJDVUvJTTHkZTpqr6VpC1jEuRkqrv0OTmOM2uxjwmDqLzk0SmPVXZ0ayUIYI4sy+gfHhIEIRfuuCvf1d8BAYxmssHO7P4ICapVNzeOewFRnJYSjbpbKX2Na9kEg92TNthONNaxTP7yvprB4mIqdQdTNgij4m4rXdOYhAGu4+I6Lmk6m/T7HqODEZKQ2Gs06Pv+xs/NMqqOs1UOlpExGAzwph5vu+ce+lsijx++9/7Saz3Fl4eXXnqJq1ev8uijj54oWfnZn/1Z/vW//tf87u/+Lu985ztP5LineOvglLC8iQjDkIsXLxJFEe9973tPTJ+5jOOa65cxjab8X5f+L57vPr/4s+VGeku1sFWbIA7QFX1lt1wglvT7VaIwwvM9mMILhy+g6dpslG9SMSqYqkkQBQzD/JfmPN64cJc+Ay/x8p2w6TD3RCjWQqa1DEmSqBv1rTvxURxx48YNVE2lUW9wi3sLcRpT1+s7yyphe2dLkiUrU6OKXsHRnFkB4nbddnrvfcgHHdo3J3QqMlmQQpqQnjtPv2HB7L4aah5LrEk6Nyc3S8lKa0tny/IiVwiJltVClTQm0QSB2BlQkJOVPlmWIn3hKfB9cPPUK4DQm5I8/RjW3XfRVyJURcPVXCQhEcT+SjHiNrKSJAmdThdJkmi396ibNQZP/SHSkxdhbpiVZaLbLtB7z3tAkrBVmzhOcHUHXdbJspTJ2hTGUm0m4SS/rgzEK5cRzz+PGI3BNEjvuQfnHY+UpoY1zMYiNSxM+hCFiBdfQly9gplKWLfdhfXgexiL3Je0zSgvECiSSpItTYniGHH5MuL6dZAkjFvvJLhwnnq9sZDAzGVjvTTB0HXONc5xOO1vRurGMdPLzzAdDqm7LQbn2ki6TkV30GWNNM19HNPQQ1f0lQU55JsB3W6XLM1otduccfdKvTqqrFJktM9jircv7sfhhHE4yY30vWu4n/8DnFeukaYZI13De/vbyB5+GITANRz8qPhc1qcg69BUjV4J6anbtUXj+8q5BmPGs2d4r9JCjxUUoTLxPKY7SEcRBIKht2W6NSeMUcSF87cWkhXIpV7rU5oMGHgj5kWot9T2iBKdOMoYjsdbk8R2FUEuIwiL768kyn0ylm4UTj2G3hjZkTgMhhiujmvYxGHGYDhZOe+KbXFweHQ+kiRhWRaWZZGREQQBiqKwf7Cfh11sRCbn2La5kJFPtzzfo91uE26RjEmS4F13nfpX3ky8/PLLvPbaa7z73e/GcZwTOWaWZfz8z/88P/dzP8d/+k//iYcffvhEjnuKtxZOU8LWEATljenHwdxc7zgODz744Jtmrk/TlCRJji0B25/s8wtP/MJGYeA65j0n02i6NSlsGXv2HvvTfaIoypOTPI84itF0DdM0MU0TR3Oom3WCOMhb3wsWQ47mkGTJVpmToRi4mkucxUzCCaZibp0gBGFAt9vFtm1q1RpNo7kSWzy/PklIDILBQsZyHM8EwJ6VX/P8nBzNIUkThsFwRTrWnmR0v/A/EJ0DMlUju/02srvvgbXnoWW16Ew7CCGo6tVFT8vytOu46WyaoqNJGuPZ5EaVc5IhC5lJNFkQm4bR5NA/zAsfp1PkT/8nkCVQj3bApTSj2pvQ/dPfSLYlElKVNFzNwZQtRsEol63NHsMoiul0Oui6Tr1ey6VzBzdIf+c/5ZMQY1YSGUYQhaSPPIrywNtRd8Qg67KOrTl5o3oGnUmPNEsQL76I9Pjj+TEVBeIENcmQ3/5OJt+we5fNUEySNDmSMEUR0n/9HOLg6POvB4LDW5okf/pbQVMxFANLs1CETJjEjIMJdaO2WmYZRUif+6+I/X3mi/5GKNG95zbSb/7mfKt8hoyMOI5JgpipN8ULPDRdzw3Iponiecif+xwMhjRD6KqAZZF8y5+CtaZmVdZo2y3iOCKME0bBmDAK6XQ6yJJMo9lAlRVUSSX44gtIzz8HwyG4LukDD5DdcQcwi0IuCShoO8UpZgBVzWH8q/8eDnv51EuSIE5wowz9G/8E6bv/GCN/utK5so66XSv1nZSllOXHKUn1EhKqoqyQI0uzsDWLOEoZTMYYqsa0xLvStGt016Y0WZrS7fVIkoRWq8Ut9XZp9HLDqZVOcmzdXAQEKJJMxawgZRKDmXTsOMlfxzHkN90q3ZLiyr1qg/2S2ORmpUZ3zdifn7eLyCSGIw9T0wuLHoXIPXFBFBJHEZ7v43seURShahqmYeA6LkISLK9sMjL6/T6B79Nqt6m7lY0+GYD7b7+dj/z57y+8jlO8cVy+fJnLly/z6KOP4rruiRwzyzI++tGP8pM/+ZN86lOf4r3vfe+JHPcUbz2cTljeBBwcHHDp0iVuu+027r333jfVXP96/CovHr7Ix578WOliZF2yNTcyq7JKVc+Twvp+n4yMhtlgf7bbryoqqqtScSvESZyTl2m+i9y22+wr+5iGiaVbi4SvfrA66agZNSbhhCjdno7jxz5+7GNpFoZsoEoqTbNJP+gvdtWm0ymH/UNq1Ro1t4at2RsdK8tllUII6mYdS7E4DIp3aufpZ3OysnxOcCQdk5BQJIWb3IRv/EY2orKWjtdcki3N7+0cpmpia3b+OQuplKwYiokkpAVZAYiSkN5SEpepWjT0OkES5IlaaZqvBAQs/5aXMqjGModGtrLIXkaUhggE18bXyLIMVVFzghtGXNm/gm1ZuJUKpmrk8cOvXkaKIljeWdNUiCLky5ex3vEogx0BB0ESEEwDGmadnn+IEIKKYmJeeh48GFdsfDkDLcMdxfReeg7uuxO2SA4EAl3WGERH7yUuv5yTFV0HSUbNyI/X7SJe/hLZ/fevfNYAju7iJVOadh1JkvCjkOkz/xP293PpkyzTDiUOrBDx6quICxfIbrt95TxUReWW6lk6k+4i+tXzPIaDAXuXLiEd9pFVDc9W8g9lOkH+/P9D8sEPgnT0TJmqzrXBUUFqEidMBmPabpNWu4UX+jiaTed/fh7pscdygifLcHCA1O2STqdkb387klT8XaLKKofTfuFramaVwYvPIB32QFZysgKgSowIGT3zGM0/9ig+U1zbwVAN4jhlNB0TL+2Ol+2nSUKeTR12w9HtY6Z6rS64p+F0IWuVVZla1cWOTMZr3S/LWCcHaZpPt8gy2u02khAMSzwwmrJ7ejVH1XRXrjtOk6OunJl0zNXzYsV558s2mHq5IT89xpZmWbKaJCQGWzwl+Xn3AbAsA0lOaJsVptOQyXTzHs9N+wKBqmqoqkbFrZAk8Uw65iMGA8a+h2GamIaBpmk5WQkC2u02sqxg6NpWwnIqB3vz8Morr/Dyyy+fOFn52Mc+xj/+x/+Y3/qt3zolK1/nOCUsaxBClP6S3IUsy3jllVf44he/yDve8Q7OnTt3wmeXY+5XeT1k5b9d+W/8yrO/QpqlO83tkEudwiTcKtmKkmixYDYUg7peJ8xCFFnZnhTmuFScCjW9xpXelTwueTBEUZXcsG+aGLqxSByThczB9KD0/leNai6BSo5+4Ugil4aNBiMmgwnNZpO6U8/lDCUdK7Ikk2UZV0d5qpWt2liaRRAHK+lgkiRR02ulAQADf0DdrHNzcjNPHVNN/HiLnE1I1MxaIQnxYi/vOlFd+v6AmlFDlTW8cMo4WpWemKoJCKZR8YLIUkyuja/PplyCilZBs9pk9fMMr3+JVFWRkKjFMr1oAIZJtre39Vh1o86h3198ZlEScfXwKr1ej2q1Sq1So6bXUCQFL/Z2x7RKgsY4Zb8kja3tHE3AMjKGnatM0jFUFVBSjETQClRCTaY6HTPoHZJsISx55PZa4tf16zmvnElLqpFMR00gyhDXrpPdv7qYkYSUew3CMWOOPgv12iu4SYqeKhBn+FKWT37CCHHt2gphgbyNfi5Lk2UFx3ZwbId0OEAZDMgUmWoAB0aMlAqEqiHGI8TBPtmZM0fnzxGpjMKITqeDaZkIW9DzemiyytQ7pP3Ek0hhSmAaDOUMVBXCEOkLX6DyrkePkdhVLZ1o5LFSs89yXZYkySh+wGHvJhgao3DMaDZJFLKgZldQpTxKuTMo87dUS/0thmYUFlJCeXxwBhyMO4vX2Y6FpdpEUcxgMiLLwNKMFWN6mqZ0DjoISdBqtRCSRMOp0ivxyVQtt7QHpiwla+CNQMA4GWE6Bo5mE0Upg/FosSdxLPO6rJbKwSqmXUrC6k55mpltmBwsfd5WxcTSTOIwZTCakGW7vTSyrGDbDrbtUHMcrncO8GddT+lsQ6ZarS48L1NvkwxJkuChe04Tpd4MvPrqq3zpS1/ikUceoVKpnMgxsyzjl37pl/j7f//v88lPfpI/+Sf/5Ikc943gp3/6p/m1X/s1nnvuOUzT5Ju/+Zv5p//0n3L//acE+CRxSlhOCGma8swzz7C/v8973vMearXaib/HPAlsHtd4HLKSZRm/8cJv8LuXf3fxZ8vm9ppRW8TUWqq1MqnYBVu1yci4Psl3c+cTCkUoDMPhQucvS/KiRNG2bWzb3jBRypJM1+xyoXGBcTrOz2ftOMtoWS16Xm/DcJxkCS9df2mxi3Zr9VYQlCZambOJxDKpmUQTJrNFvzbzbAgESZps9IGsQ5ZkXM2lO4vZXU4d0xSNilaZNcSPMRWzsKQQ8gWDKZuL81s+T0PJpXZplhAlMVEa4m9J21pG02ytSfKy3F8UAt9wP+qkQ6M7wYpgqAO2QvrwQ7ClBb2q1xj6w5UJ2Xg8ZjAc5K3dhglZRpQeRVAr9Sa1UELxBJEiMVQSUmBvlHHznY3Cc9+aGqZp+ZRhdg52InPFjCBJ8lWmrlE1KmiKRpKkTMIJjuZskBVgZWHdDmUO1KWfgy1Th6bV3CofTLKMgQYYCc1AZqgl6KnAiTOkTMW3qoz9fJIgCYkg2S6JkuIYATgoDGwZmVm4RpYixQmjbhe5UkHXDfacFp2ZdyUIcjmk4zi4rrv4jqgYFbovPYMvfKioIKUoKVRiUDKFcOKT7N+AZnXnZ6ApWqlEq2pW6HtDhD2bomXp6oQuTWmgcX1Li3hGRt/PF/QNq46sQ8WoIiMzCTym/urzXSbRUhW19HwrpluaQla3q3THRz+r8yQvAEVTqJgVLNkiSXsEUTTzbnVQZJlGs/m6puxlMdCKJJU221u6yWCaX5MX+osYZkWXqZoVyCREKkq7V2q2w0FJKaWu6VBCWIokwHN44erPwXTmywJQLZWa5UKaIcvyzshiTVUZTMZ5qphh0Ov1CMMQ0zCZjMcM+n1qboXxeIxhGisE6J5bL+BaJ2MAP8URXnvtNV566SUeeeQRqtXd3y2vB1mW8YlPfIK/83f+Dr/6q7/Kt37rt57Icd8o/ut//a/8yI/8CO95z3uI45h/8A/+Ad/xHd/BM888c2KhAqc4JSwngjAMeeKJJ4jj+C1lrg/igP/7qf+bJ/ef3HHQowXwnr2HH/s0jebWpLA5akaNSbQaXZpl2UbCl6HkEqD1UsAVE2WWEQYhaqLy/GvPI4SgZ/YWk5eKXkGXdabRlEk0yeNyvVUzPOQGy163R5Zl7O3t5T4U72BBvOam/TAJV/wuFb1CkAQ7I4EhL9ObiimSkPAjf2tS2ByaoqHL+s6JThiHdOIOmqxhKvkz0rbbua9kS6KarugoQt3ZAePHHn7szTxG8czfU8GPvY1+GcgX/N0i/1C1Svxt30Z2pcNr/etkuoF6+11Uz15AEjLTJf9LRaswCSeLKODlfo9Wq4Wu6QgB7oywzhHfeo7euTqi24VERkokbu3HhK5D9R2PMBIy8Zb46Jpe3V4wadtkZ84grlzByTQGapLL2nwfqjWSdjP/zGcflaVaBImfS7iEhB8FjIMxGZCdP4947Qqul9DTZwvMJAEhyG69dfVWGdXtpAfIzp9DdDq0POgY+bUEWUxgQnprnSw4zDtYDJuaXsWbpZF54dpzWKmCpqOPAiaajEAgy3J+TppK1mgwHA5JkwFjY4ysyiCg3+9TrVZXDK22ZtGd9MgUJZf/zb5HYgl6WgZyQiuBvhxSc/JY8CCKGHmTlXjtqlEcqQxHwsfs/DlwXBiPcumZkCBNkNOM/oMPwBbCsny+uYcjW0lfM6281T5NMiTk0ulKzayUToM0eTNaeB3L33friNOY/nTASBoTEWGaBocHI2qui2aYC7JiKFppClnVchdEYxdqdpXOqJhE2Lq5lfjEaUJ3Jh1ruXVqVQtV1phOfSb+JvnzSwIP8ilNcTrbcaY0jmEVxi9HSZRHsE+GSJqgblZQhMp44uH5R+dYsfOyyIx5yEHM3t7ewpAfxzGWpnJ1f5/BoI+iqIuQmIfuua/wHE/x+nHlyhW++MUvnihZAfj1X/91PvKRj/CJT3yC7/zO7zyx475RfPrTn175/49//OPs7e3x2GOP8af+1J/6Kp3V1x9OCcsaXq8kbDwe89hjj1GpVHj00UffVHP965GAHfqH/OITv8hrw9cKXzc3cs99KEPyXyy2ZmMqZl6uOJtSrJc3bj9ZSMm9KUEc4GgOlmLhJd7GtENXdGpGjUEw4Bb7FoIgyOOSe3nT+py8mLrJGecMKSmu5q4cJ4ojup3uIglsz97bIDWTcLIoOtQVHVdzUYRC1+8WLkQgX5gH6RGpWSZmFb2CIRt4iUeS5WTyOBOdeeHmMizVwtZsoiRiGAwxFIMsg8kO4rg4P72aS62S1enK/DqzLGMYjqhqVTpel6LkJ4Gg3jhPxzSAfIEewspUyVRM6nqNJEsXTerznpswDGm324teg4bZXEyaFlAU0j/xJxHPPYv0yqvUPXjtbbeQvu1tYEsIEiq6i64YxGnEKBijyxqTaLqTaKWPPIo+9si6ffKaigwch+Qbv3FlaiLPyjHH4XhFTqcoCo7mor79EdJXb8LLl0nSGcMRguz8+YUhHfIizjwWefv5ZPfei/7KVYbdLniCuX8pu+WWRXBBlmVICK4Ory1+nnQtDxWQhYQfB4z9MfWH/hi9//H/ywmYLOcx0GRkDzyAe/YsLlDTarx2cIXReEQcxyiKQpZluRF51vOhyRoTptBoQKUC/X5OIKScvEhhxKRZJ2k0FhMOmBUv6jmBSZOjTpNdqJnVo1JLWSb5tm9F/r3fg/4ASECSqN/3Dm4+VBw5aqomky3einmrPeSTnKpro0s6fhQxnG5KLod+8c+jrup0S+Kb1/0i29Cwa3RGPaI45vr1yxiGTq1aRxdQvfg04omLqGOfG2dapA89SHbn9mJC9RjxwWGJfE0Aoy1JZctQZIXeuL+S0GW7JpZqEYYxw/EE27BKO2dqtsthST9L1XbolExpTN0o9dLME8/SLFuRLbo1G0M18P0439Qjo9ftEccxrXZrJT1MURQUTafdaq9M+7vdLpP9A5555hna7TaNRiPfHDjFG8bVq1d54YUX+IZv+IYTVZz8x//4H/nhH/5hfvmXf5kPfOADJ3bck8RgMJsSN4pVA6d4fThNCVtDFEWFLcXLmJvrb7/9du655563jLn+1cGrfPSJj+InPhWtsvBVrMuoVEnF1uxSj4epmDTMBpNosjMpbI7mrPRwW8miqeYSpjAOidOYlHTrdCObNx97PqEfoqMTqdFizG9pFo7mMPEmfOnql7Bsi0q1kpOVYyR8zYmXLOSjpDB/sGH0rxt1RuG2jpVVuLo7M3HrxGnMINi81wCu5hKm4Vap2zJqRg1VUsmAkT8iSLbLXmpGnfExzm/P2sNP8ojqMA4ZBsONz1AgqJuNFXP+NjiqQ5jOe0wE1qznJk5ijJq52F5v25sekY3z1/M0qrTgkdZkDUezkYVKmiUM/dHG5yQQ1FSH/kvPwmgIpplPRNZK+eZJbEVo6Q16z1/EvdrByGSSCxcYX7gFPzt6z5bdXHhOdqEuLPpPP4a4eg0kiezWW8nuvis3oJNvFDiqU0hwdUXHUW3k554nffxxRtMBsWWS3ncf2QMPgBDYqoUXBQyGA4bDIfV6nSzN8HyPwM8jYPeqbSI5zkv3hIBOB/lznwPPY/6B7QmDG9/5LWTt9u57YzU49Aa4uosmqQRRxNAbrzxLFcPdJAlZlocZ+D6i0USt1gmS3Tv3hmIQRGFhvPcKMZpBVTSqugtZbmx3dWdFxrUN7UqLg2HxM9F0GqXHqRgu3eEhnU4Hy7KoVKsIQPrc5/J46zTDTEFPMtREYvBnvp3pGmlRZZUkjbfGE8/h6NaiWX4X6lsikdfRdhscFEynVFnlbKXF1A/ojyY7ZcKtSq1UVla1XQZFpCbLzf/rkrBlSEJCEmIlkGEduqojyJj0J4R+jGkfxbPP4VrWVrP9vRcu8IPf/p0cHBywv79PGIY0m03a7XY+MT4tknxduHbtGs899xwPP/zwiS7aP/WpT/EX/+Jf5OMf/zjf+73fe2LHPUmkacqf+3N/jn6/z+///u9/tU/n6wqnhGUNxyEsb2Vz/RM3n+DfPvVvNyYHiqRQM2qLFCpDMfJyxy3xscuQhUzVqC522TVZyxO+0lnC19KiYlt/yTbUjBphGmIp1k4yBTlRkiWZw8lhnjjm53HJuq4jyzLT6ZRWo8WtjVvRFI2bk5uli/f1FvY5FnHCsrrw8xynYHJbceRyZPIwGBImIVU9DwrYlX42R9WoMg2XXifyKY8u6wRxyHA2mWmYDQb+YCsxLLveeczxfNoQxMGxyIqt2MRZvPBcJHFCp9tBlmWajSaSJFHRK7hahXE4ZugPdi6+HM0hiIPC+yEJCVd3GfjLC1OBM5v+pbOJVlWvlJKj48RVN63WahHlEgzFwFFtdMVg6A9X+mfW0bJbpT0nbbvFwbiEPNktOkvXJdIM16zmrfJpysif4Kg2l2+8spDiaUuljGmaEgQhRCmH4z5CiEVcsp5mSK9cRozHqE6F9K67iPTd0ihHs5gE3gbRVSQFV3dRJAUZiRuDzrYwvKNrcprHuDfHiSne3qsyR5bBntsEJMIoZjgZbTl3GSGkwimroRoEcVD4PVAxK3T6XTqdTu4bqlTyW9DrIX/ykwC0IujoUn5iaQq2jf6//kVs3cnPbzymVWmUmu3bx3hNw67SK0kZq5jO1r6YOQSgqxp+FCIJQdWsoAiF0cTDn/W2HCc22dSMhX9m57lYTqmsrOnWSk37LbfGcy+/SJqktNotVEWhYrrImcJw7BGGEe16nYPDzWnP//JnvoM//uDDQP77fTKZcHBwwMHBAcPhkEqlQrvdpt1uY9v2m7I5+fWC69ev8+yzz/LQQw/RXIte/3Lwu7/7u/zAD/wAH/3oR/kLf+EvvGU/g7/+1/86n/rUp/j93/99bl2TEp/iy8MpYVlDHMc7DX1wZK4/ODg48VHnHOvmeiHEsX44P/2lT/PbL/526SK7YTQQMxPxIBhsJHzNoSs6uqzv9FAokkLVqCIygSRJC1lZEbbJyhbHQXDoH5KkycJfsj6NiOJoEVEJYOs29UqdWI7RFI2aUUMIwSgYrbSZS0LKSwJLdtghn0hM4ymmYm4tqyy6lg0IOGefI85iptFubxDkn8sgKCYhmqzRNvcIkoC+3ycuWPC3rT0OpsWfiRCCtrVHlmWF0yFLtXIJxWzaE0V5CpVhGNRqtcXzuUyQ5hMsRagEsc9wdh9N1STLspV44A1kual9q29lCS2rjRd6s2PmErr1485lh0Wfk6M5eJFfGDhhqbkPKk5jVEnF0R0UkcvDRv6YNEuxVJswDgp3gh3NYRpOdzbVQ05cB/6QIvbfsBpcu3mNLMw4s3cWPwlXnnk4mgZlWV66588ik7MsQ9d1TNPkfPNcecGmVT+Kzd0BV3cIkghXcxBITPzpwp8DIIs86rtouqLLOlEcFd4b13BKW+0b9ur5qrKKq7tISAy9CWEU0q40ORiWkKdjTGAsyeTF176E61Zw3SPfkHj2WaT//t9zGVyUcajN5ImzDbHkz//5WUlr/h3YdBokUUJ/Mtn6nSwJCVmSiHZ8X0MeiRzFUeGekWvYjPySVK+C3hrXsDEVAylTudErJqjtSr3UtN+u1lfSwbah4VbpFXTBZGmGP5ky8nLivs3jWbVcTMVkNPZWIpMlSfBPfvhHcExr67GDIKDT6XBwcEC320XX9QV5qdVqx/KT/lHBjRs3ePrpp3nooYdotVondtzf+73f43u/93v5+Z//eX7oh37oLUtWPvKRj/Abv/Eb/N7v/R537pB9nuKN49TD8jowN9cnScJ73/teDMM48fdYN9cfh6zEacwvP/3L/OG1Pyw9/voiWwixSApbjjmeN9LvIivz9x0EAxzVYTgd0jAbG0WMy9g13YjTeOF1kITEOfcccRpvLDwzMkajXKd/5syZfOE3nXIwPCAMQhRVYWAOMEwDVc07YzRZw499ZEkuJSvzTpR5x8qcXCyXVc6nQcvFkUVomS2uT64v7repmjiqQ5Tm93a+MGtazTy9q4RsVvTKLH45QwiJqlFDk7QNo/2evVdKIIUQ1I0G+0slopKQqRs1lHlx5SzNLM2OyErgB3R78xSqCvPHc/3zTbKEQ39p0aio1PQaslAZvY744l2oGXW6ky4Z2SLVDcDUzFmSHcRJxDTyCu+rLClk6fZ27Dmk2WJ7PpGM0mglTECWZOp6DUMx8CJ1kQK2DiEEkhCFC3JJSLOJ3e5zloTEK9deYRpMabVaDJN8MWebecBEmmYEUbiQTc2nK4ZhUK1WFyWv0TTkC4fPoOtaPn0xTOQ1M3zVqJaSlabdoDszx3eXNhks08JWbZIkRZVUbo6KP9OK4ZROV1RlM7FuHeufZZRES4l8gorjIstS4e6+Isn0SyYVaZzy4s0vUa1WN9OAZtMuN14iKysXcjTRcgyLm8P851VIgpqTE/2p5zOddb7kEc7Fn8NxIpF1VSslLFLB75yRP2HEhKrlYtgyruEQxymD0XhjojrZ0VezeB8E/UmJ30ZSCk37WZoxHg7xw3AnWYH898eN2T22Krm0OApTbmm0d5IVAF3XOX/+POfPnydJEnq9HgcHBzz11FOkaUqr1aLdbtNsNheesT+KuHnzJk8//TQPPvjgiZKVz3/+83zf930f/+yf/bO3LFnJsowf/dEf5dd//df53Oc+d0pW3iScTljWsGvCMhqNePzxx6lWq7zrXe96Uwx5b6S5fo5XB69yaf8SF29e3LlQLZXFzORHtmozCkYbPR/rMNU8EnhuaF8cZiavUiSFcTgmTEPqRn3TgL3rHOeyslnimCZrDL0hV25eIcsymq0mTau5klaWpAm+7+N7Pn7go8gKhmlQd+qYeu6tMBWTMAm3krC5tGV5EboNiqSwZ+0RpAFDf1goaSojDYqkUDEqmLLJwfRgY3d8495YxZ+foRg4mosu69yc3CiUx0lCombUS2VgVb2KIZskWcwgGDIYDzg8PKRWq60s0Fpmq9TULwsFW7EWkxZD0XG0fId5vDQZ2UVsl2GrNmEcFUvKkHF0iyiJsVQLIQTjYLIR/dwwm6Xx0seRlOWfT06KBQJXd9AVgyRJGAYj4iQ+lhSs7bQ5GO9+rzRNScYJh0GfVrO5c4HWsvOySEs1SdOMoT8hWnvG6maNg1EHz/Nyz1gYompq7hczDRQln34Wlc0KITBVc2vS3RyyrKAIGUMx0GUdPwoZrflfdFknTuJC4ujo9szDsfs5q1pVBiXhAE27vkjL0hSNiu5CKuhPx8Sz75SyCYzneaSTGGEqWNaWBW8UIf/Kr7A3Dtg3l9LZsozs/HnSP/tnFy8tmmjYuo2lmkjI3Ox1YNfvhSzD0s3CqGdpljRXNKVRZYUkTQq9NNaWFLKV1vrxFFMzSqVeDbdCb1S8edGq1Hea9ufFnHXbRTK0wmnHrmnP//qtH+Sb3vZQ4TlsQ5blyYhz6dhkMqFery98L1ufia9T7O/v89RTT/Hggw/SLvDBvV78j//xP/jwhz/MP/kn/4Qf+ZEfeUuSFYC/8Tf+Bv/u3/07fuM3fmOle6Varb4pqbF/VHFKWNaQJAlxvPplvr+/z5NPPvmWM9fvwvXxdS7tX+LSzUtcGV5ZeCrKOkRglTC4uospm1tjjqt6FS/xNoon16HJGlW9CoJ8x36HJGreIL9toRrFEd1ul6pR5cLZCyiSwv50f+cudZqlBH6AiASjyYhYxHnamGGi6XmkcB4FHDEIBqiyiiEbhdMkOCqOnN/HZWI2jacrC7bjLLpXXiegqlXRFG3rfSojK+vHk+ZyLEnBm8VCH12HTFWvcljyPBiKiUDgxR5ZlifiJZOI82dvRdGVhXm/ZTbpeD3KJgIVrbJhlF6GrdnU9BpBHDAIhkTp9mdLlTVUoZb6r1pWk84Wkmwq5oLAyMjcHBdPohpmo/Rnp2pUGXqbPoll7Nl7kGXEacLQP1oYL8PVXcbheOdEKElSpv0pIQGNRmPn90TVrDLw1p9ngavZGIpJkiZImURnjaglySrxb5h1QinCME00Tduq/mk75SRsz2mxv/aauUxLZLl8zNEdOiXTlZbToFNigC/zt8COcADyn+mKUUGXNJI03embmEynDPsD9lpn8jjpHVCvXEP63d8hnn9XZRm4FZLv+k6YxU4bqp6HDBQ8O3MZ3JxcZSkMxiPiJb9lza6U9rO03BqdEi/IcXwyx3nNudoeUZzujEyGcqkX5Elk/S2m/TRN6Xa6IOD28xcKiZoANFUjWItpViSZ/+Mv/xim/uWrJTzPW5CXw8NDLMtaSMfy0sq35mL7y8XBwQFPPvkk73rXu9jbUTD8RvD444/zoQ99iH/0j/4Rf+tv/a239P3bdW4f+9jH+Et/6S99ZU/m6xinhGUNy4QlyzIuX77Miy++yDvf+U5uueWWN+U934i5/rjoTDs8ffA0j914jMuDyzsXQnM51C7Z1HLMsS7rW8sb1+FoDkmWrCSB2aqNpVor3pAiQhWEeQmebdl5Epi1x8H0YCGtWu9WmWNuho/SiMAP8HwPz8vPY05edEOnptfQZZ2EJE8327G7q0oqlmptfa/le2SrNjLyolRzF8rut6nmsqYkTVAltVzehaBptejsIEmmauGoNnGaIBD0/OKF4TpZGQz6eFOPZqu5MHbn06YzefxwOMLbUVopENT14y36x+Eo73YRUNHm8cYxQ39IkiVIyLiaw6CEXO7ZbfZLJWW5T8RQDGw1nxblE5ijhY+pWsRJ8SRHkRRUSV3xa6xDElIe1bs0jXT1fBqWpilDf0ySxjja7uSwOI7pdLrU7Rqao+/caBcIbM0p9EtJQsJSTWQho818I0N/tLKrLjJBGqUcjvr4vo8Q5LIy08TQ9ZzwyQqykAkLku9UWV14pHZBVww0WUWXDeI4YeiNNsJPbN1mGk6LDfA7iMgyala1NJ55PoExtTzZMI4TBpMxaZbMylGH3H/bPYwLOpwA2m6Tg5uvIb70JcR0StZo5BHZS/H3LbdR2iez7TWSkI7M8FMPSzNn3TUF134MUuMYVnHEcJZhaAZ+VJzqtey3sfV5ZHLCcJz3Hh0nFc3UtqeHpWlKp9NBEhK3X7jAxC/+HGpOZaus7ME77+Ovve/k06aiKN9kOzg4yM9TklakY18vkcmdTocnn3ySd7zjHZw5c+bEjvvkk0/y/ve/nx//8R/n7/7dv/uWJiun+MrhlLCsYU5Y0jTl6aefptPpnHjp0Rxv1Fz/RjEIBjy5/ySXbl7ii70vLgiHIiu4WrkcCnJD+igaYat27mHZEXO8rWByHYZiLJLL9if7G8eZTqcc9g+pVWs4jkPT3L7AnzfIp1lK3+/TMBtbzfDzuGTPy8mLJSyELlB1Fd3QF+Z/Wcgrfh5TMZGkTenbOhRZwVEd+n5/0YOSpAmDcLCy+MrlWLXSBbwQgqbRpB/0qejV3DAcDjcWh0KIWedJ8S63IimLBXFFr6JIcl5auTapWCEraUbvsEcURbRarZWeobrRYLCUFGcq5oKkDvwhSRZDNpOLlcgBHc0mSMKdz4sk5RMaR3UYBiNGwe5pRtNs0C2bHskmKclWGZ6pmNiaDVnuNSmTix1PUlYe83zOPZcX5CUJI381eW4ecnCufo7UyIp8zjNJ2etPTZOFTMWooCDjRwGGYi6Ok2UQhgGel/dWpGmKoRucb55jmk4LpTgtp0WnLBFtLT1skT4mFMa+hxd4x5quNJw6vXHx99ixJjCmy3Cte0WWZLIgY9Qf4VQrWIa9aLvfBoHA0PTClCxJSLlEq6BbRZEUICuO9FV0dEVDVzSCIGI4mWxIx7bJuNbhmk5ph8txYpObTpXujpJMTVZxDQdTMbnR7axMidaxzZCfpimdg5wENJtN9upNDgYlhG+HrOwv/9n/F4/c+/bCf/vlIk1T+v3+YvoSBPl0dD59+VqNTO52u1y6dIm3v/3tnD179sSO+8wzz/C+972Pj3zkI/zET/zEKVk5xQKnhGUNaZoyHo+5ePEiSZLwyCOPvGnm+vlUBd58srKOSTjhqYOn+MLBF7g8uLwWHbuJXSlb85jj5XjiY6VnwUKW5cf+Rlxyf9BnPB7TaDZwLGdBBMpwxj6zWOgNwt0JaA2zwf5on8l0gu/5eY+IbixajyVZoqpVsZR8GrRsHt8GXdFRJXXrrvY8Glog8GM/b34uuRZJkmayrbX3nfmMDNnAiz2m0ZTKMeRdsqTgqPbWCZGl2tiaRZzEeYQr4MUeSZLS6+am9mazhSwfLUprRp1RMNyZaCbI5XK25jAMhowKdr3zhK+jIspdWF5kK7JCRasgCRk/9BjPJG8VzWUSTQuT1ubelmFJyWdOtDqLqWCSpfnUbolULftWdqFu1kpTuCq6w8ifLEiYEFJeoClrDMYjLl+9TLveRrO0wsmmqZqEcVR4/bpikKRRyQLYQELk0rlMMAqmBLMJUgbEUUQapoymI4IwQNN1TMPAMEyUJdO+oZqEcVB8zpqBX9K70rAayChEcbx1+gLgGA5jf0KRNNE1XUYlJZDbPDAZMBwMmUwntFstztT2iOI4TxIMA4bTzc2MplOnW0Kemm6dbomR/jhpZntuk/0lOZ2h6ri6QxxnDMb55Ow4Mq4iv8gcDadWOsk5DqlxTZuJP6VqVpDJp0RBuLqBsE6ykiSh05lFqTebSEJslXotY1eHi65q/PRf/rFF0e1XAtsik13XXZAXx3G+JhbovV6Pixcv8ra3ve1ElSfPP/8873vf+/grf+Wv8FM/9VNfE/fiFF85nBKWNfT7ff7gD/6AWq32pprr534VIcRXPRYxiAOe7jzNpZuXeLrz9EaUsCqpWJpVSmoUSWHPziN3B/6gUAKyrb8E8inIsD9EjVXOnDlDJmUgKJS3wIxQGQ06Xmflz+Y+jlEwWvSHtKxW/rqlJz+KI3zPZ+pNiaMYTdc4WzlLqqZkIsPW8kVrGG9K0BzNIUmTnZKoOTRFQ5f1vGRS0Xd6ehRZwVbt0vudJ1PVQeShA3PZ1MbxZnK2YYGcDcBULGRJziU8ccblq5dJ5IRG/SgGG6Cm1xiFo9fVAaNKufZeIBgF48UzpikaqqSWTq/aVouDggmSruTyPoGg7w8KI5N3eVuW0TSbO0IiBK7mYChG/l7egLBgiqjKGpKAoMDrJQmBpdhbnwXP8+gdHtKoNrjzzO0kaUoQBztlT3WzUTopbVh1etPi12y7R46W74rnpGGct7uPu8Rxgu97eL5PGAQoqoo563u5pXa2tGTzON0sLbu5mK7IkkzVyBe5Y3+ymGAsG+l3XvuxJjB1DpeOkwGDfh/P8xf9HuuyMkM1cHSHNM7oj0ekWUrVdBmUkKPjRDSXTUYEYtaZsp3wK5IJgGOzAADJw0lEQVRM1ayiCIXecLRziilLMgIKiexxZFyGqhfKxWB3AWbFcNAVHd8PEcgrpv05WVEUZeHfqjku/XHxPW66VbpbfDLvue9d/MU/8+cK/+2bjTAMF+Sl2+2iadqCvNTr9a/62mAbDg8PeeKJJ3jggQdOtIPuxRdf5H3vex8/8AM/wM/8zM+8Ja/9FF9dnBKWNQwGA65evcpdd931ljfXvxmIkojnus9xaf8ST+0/hUAcq2BSkiTqen3Rm7GYKgixkabVttp0vM7GBCZJE3rd3iIJrG7WiZIIQzVymdashHEdxyJUM1O7ozv0vf6KCX0dcRJjpRbXBtcIgiBPTZr5XhRFWci90jQnM+NwXCh9A7A0iyzLVvw8MIs51pxFA72qqOiyXtiAPr9mUzVXggIWkh6hMArH+JGHJuvosrYSebwNpmoCAi+aEkYR3U4H0zQ51z5/JP8LBrhabgovIyt7Vpv9gtABW7VxVAdJSNyc7BeWtTatmcSr4JtKkeQZKRstjm+pVi7JC4YLb1IZ8YF88jcNi6c0spQ/B144paJXch9IEjH0hyuLuWORA3u7ZGoymdAfDGjU61xoXVgpkcwN6xUkJKZhHviQk4wSQ/oxpj1VozLrgNmNmlFFZBKKrOAFPuMg/3lK03TW9eIjxRBkIYZhYpoGmrbpu3E0h3FYPBVxNKcwGczWbCq6gxeEDKbDnVLB4ySMrROIjHyBFgYBrXYbRZZLfTKyJLPntImShNFkSrBj8X4cQnMc+dpxJh5Nt0F31Msnn2YFVdKY+v6K9+M405XjTGn2Kg32T2CSc7baIkkyojChN0vjWiYr+XVtJyPL2GXs/xsf/AHedttdhf/2K4nlyOROp0OSJDSbzUXq2FshMrnf7/P4449z3333nWgp4uXLl/mu7/ouvvu7v5t//s//+SlZOcVWnBKWNaRpShQVLz7fKN7qZGUdaZbyYu9FLu5f5Mn9J3cSAk3RClO2ltO0ZCFzc6n3Y455EpiqqjTqDZpWMy9RXN7tW4o5HodjvMhbpD2V7dCvJ3zZmr2Qe62Tg+WOlSRN8L28bC8IAhRVwTRMTNPkTOUM43CMozlbidkcFb2Cn/iliWoVvYKhGLkXJ+gXFnoqklJ6zQ2zgSbnk5zhDq8RzEohsww/9vB9n26vR8Wt4LjOileibtRn8go5v/87JkrHSUjLU8xc+n5/qWBSmU2djq5rxYhfcq27PEECQUXP/S+TaMLA372oVSV11kFTTNCb1vYJjCxkXL2CKinIQuXG6EbhcWpGlb63WhCZAePRiNFoRLPZpO40CGK/kEC5egVD1kmzlKE33vocSsgYqsa0wCguEDj6buP/HFV9NYXMUA0czSbLMgbTfHJaNarc6N/ME8f8PLzBmE1eDCM37R+H0DWsJr1J8QJ43gOjyioVvQLAaDpZ+ZlrOg26JR6YZZ9MBvS6PeI4otVqLySRxznOUXGloGI4uYQzCBl5k6XX1OiVkJHjEJaaXS3ti9nmyQGwNQtLswjDmCzNGHrF3ym2bhX6dsgyTN0s9O0I8t8ZxVPHI9N+kiQcdg9pOFVazTMMxxPiJEEREpmg8LtBlVXiJN74eXdNm5/6ob/5ll0YzyOT54WV4/GYWq22mL58NSKT+/0+TzzxBPfee++JkpUrV67wHd/xHXzXd30X/+pf/au37Gdyiq8+TgnLGrIsN2af9DG/kub6NwNZlnF5cJlLNy9xcf/iYrG2LQlsG+YTl57fo6JV0GWdSTxhGk63J4F5B4U76pD7VRAwDaeFEwRNzqOMdyV8LYohZw3muwohF7vHvocRG4zSUb74Mg00TctTe/QqqqwuCFXNqDEOx4XyOMh39cM0XEil5iRPlVTG0Xhxf3dNatZhKkcTE8ilSVW9ki8ogyHxbEFrqzZJluDHPpPplP5hn3q9tvELsarXmESr12GrTl6+lhyVYB6HrAgEdaNOz9++6DPkvE9GQjCJpseQi5W/p6O5+LFHnMZ5Kp1WQZ5FPs8JkkBQ02ulfqWW1SotIa3oLuNwkpvHNRchJCbBZCVJTJEUFEnBX/qz3CsxYDqd0my20DR11npfvCBt2a2lCcysA0Y2cvnWjKCtvmY7jhMO0LIadApkVUIIzrpniJMEP/IZ+XkqVBiG+J6H5/n57rHbIJFTDNNA3rFIqeguwxLJ1O7JiaBqzJLYkpTuZFDok7E0C29WMpplGd1ul2RWDDg/v+XX7DyObs0kXJuvyYmdg5TKdMaHhZPFUnLAbmnVMo4jO3NNhyAKqRguaZIxHI83zPBVy2UwLUtgq9CfFk/njjMRmscvJ3HMQaeDpmnU6/X8dyeCquXiqDbd4RAv2C0/22baB/jTD76HP/8nvqPwHN5K8DxvQV56vd5XPDJ5MBjw+OOPc88993DhwoUTO+7169f5zu/8Tr7lW76FX/iFX/i6SU87xZuDU8KyhpMmLF9tc/2bhaujq1y6eYmnDp7iyvBK4WuLJjAiEowPx1g1C0mTaNmtY/WNNM1mHkM823W21LxRez3m2NIsyCiVtM2jlUfhiKpenS3st/tw2nab/fE+fuAvCveEELlh3zTR9dyncotzy4IMFHW8VPUq02haGJ1razau6hJlUWkB5zwOeZePQ8y8PZZi4sV5oMBoNGI829FfT63ZRlbWoUgKZ+wzhElUOH0hm/kjSgorDdmELMNPgpzgKjpBHGykgx2n0FGTNWSh4MXbn4G8cNNBl3QOJl3CZPcCqGJU83MoWPjO5WLTLUTLUm1s1cr9a8grBCLLMg4P+4RhsEhkO8711a06hwVTCkVSaFrNvBE8mOycsGiyTpYlREWfs5BRJG2FZK1DCLA0m8lMJqYrGq7ukqUZA39ElMTEUYySyhwMDoiiCE3TFtKxlSQ6s87htF94/Q27UTqBadkNxuEUV3NIkpT+ZES6NrFquU06oy5pltHt5J9Ls9VaaX2fv6YIbbfJwTFeczgZUDEqSMgMJuONpLBjHecYhvw3EpssC4nKwgw/IYgiWm6dTklAQNOp0S0hIw2nSm9HgtgcNbtCd9Dj4KCDrmvUZmRl9TV5P4ujW5iqie9HjCZTlsfCFcveGojw//1//+/ctvfm1BS82YjjeCUyGViQl0ajsfLzcxIYDoc89thj3HXXXdx+++0ndtybN2/yvve9j/e85z18/OMfPyUrpyjFKWFZw0kSlvlUZX6Lv15HnfuTfS7tX+LizYu8NnxtZfdxlyE9I2M0HOVJYI08Caxu1MnIiJKosO9kudxyG3RFp6JVEAgG4WAjRGAdmqxhKJuEaj4VkoTEMBgSJdHW7pSMjCAIFuQlyzLOVc/hyR6GbuRkZrYoTrK872V+jxpmg4E/KPWEVPUq03hKlERHMc5pyjAcrhAJV3MJkrCwFwPyDhA/DgjjEH/kQ5jR2mvhZd5KotNxyApA02zN/Ev5ddmag6XMpi/hcHHM40wnVElFk/StkxVVVnLvhpCQkGZdK0WFlfPelpLeDas1i4Wem+rNJU9Kfu6arCMJUWjoz4+1y7B/hJbVpjvp4uouhqLjhwEvX71MnMT5jr6cn/ckmhYmbCmSiiLJpee07EsxVQtHs0mShIE/WsgujxNG0LbbHIxKpjQFRZJCCCq6i6u7DLwBI39CkiR4M9lYEAQoiophGpytnWEa+zv7ZuB4vSv5FGJ14iELiapZRUJh5I+RMgk/9omThG7nKDJ3eZGsq3lfTdHnoSkaSZrs7HMCUBWVNE3XXpN7SzRJY+L5hHEMWVpogFdk9VivybL199rymjQhKUpps+uoQmHi+Yx3dJ5oikqUxIXTJ13RCOOwcHhuqDoTb5KTFUOnVqttkBVTM7bKzgxFxzUc4jgljhJG3uYmxdl6i3/4Az9ccAZfO0jTlMFgsDDu+76/iExutVpfdsLpaDTiscce44477uCOO+44mZMmL5v8wAc+wDvf+U5+6Zd+6cRJ1im+PnFKWLYgKBgxHxdfa36Vk8Khf8iT+09y8eZFel6PYTDcmgR2eHhIEOQ7yY6eJ8MsE4Y56Zi30WdZhkC87gnMPCkMwdbkMlu1SUlLJVaqpFI366RZyiSa7Hx9RkZVrvJa7zU8zyNJk1y3b5gYhoEkSYu+F13W2Z/u7/SqzFE36wyXjOPLmBvtZSGTpumiLLMIFb2KF3uEcUC31yOJE1qtvMwsnzTNJAZpRj8ckJSQlZbZmk1Mtn+VzI9pKxYHXqdwcS0LBVspjxyumTWGwXDRWp93Ag1Xd82zGXkomeZU9ArjcLx1IXrkr1ERSOxv8V8t4ziSKlu1CeJw8SzOS/AUSeGu83fNjOweQkil6XhfrsxLCImqXsFWbYbeiFHB+1mqhR8WRxSrsgqCwl4RSRLoioEXeguJVJomDL1xTqD9nPzLsYSX+IvJiz4rq1xGzazS98rkcg06JROYc5Wz+EHAK1deI0wjGs3mRtdN222VkrWW26JTRuiOMTm5pXaWKEqIopjhZLzVc3Wc4xxnunKcKc3ye+VlmjZRGDOYjBdn1nYbHJS+V7lpv266PPOlFzAMYytZgeMZ+/cqTeIkQaQyw8mEaFYI/aFv+la+45FvLvy3X6tYjkweDAY4jkO73WZvb+91RybPycrtt9/OnXfeeWLn2Ov1eP/7388999zDr/zKr7wlwgRO8bWBU8KyBWEYlnaIFOGPKllZxzgc89T+U1zcv8gL3ReI03gjCaxqVEsjgVVZpabXUGSF/fF+eZzujgnM8sRkEAywFGsxtSjCNknbPOI1iAOGYf7nQoiVcsuMjDiK86JK3yOOYnRdxzRNLjQu0At6K16VUTTakNoct9NmHhNtqiambO6UoeUTkwlBHNDtdBBCotlsbEz/akadcTjGUs3cMJz4jLYcLz+/XqFECqBt7S18Jo7qYKgm8WySNl+MScyM+CULUEdzCBJ/0aI9hyxJs0LM3LxvKmapt8VQDLIsW0Re78K8/HI+KcvSlGEwJkqPprGuXmGyg/jMIQkZW7UYBTkx2BbVCvkzPAkn2KpFkqYM/c0I8IbVKC2sNFWLKAkLJ2SSkDEUnWnooat5Al6WpQy81fesGzUOSxrijxNRvGsCIwmJqpHHkAskbg4OZpPLuWk/wzCMxX8Nu17+rBwjGcxUDSb+lP2DfTRN42z7LBWjQrokHTvO5ESWZCQhFX6fSEJGkeXCAA4hBLpyFFOsKjP/WQKDyYg4TfJSSlVf8URtvbYdk4hlWJrJNCzesNkVrazKKlXTJUsgDBNGfoHf7BiG/DiKGPaHSKq825txjOOQZRiasbiHAvIJlqzxkQ/+b9Sdyu5/+3WCMAwXvpd5oE2r1VpIx4oUH+PxmD/8wz/ktttu4667Ti5Jrd/v86EPfYhz587xq7/6q2iadmLHPsXXP04Jyxa8UcIyN2vOPSt/lMnKOvzY5w9f/UN+64nf4lp8Dbfq0rAaW7tY1rFMGGRJpjqbAAyCzWLI42j+Id95T9MURVIKPRfHmcAYikFFz6ccN8Y3diZQxXFOXvRE52BykOv2Z74XRc5H4q7u5mV0kY+u6McKH2iaTQ79w42F8nKYwCAYUNWqDIMhfpSTFVXT8o6VtUe0bswmOmvEMI9zruSL2WBAVa/R818fWVnHwgAvZARiJvHajeOWTLbs1mzBb5Nm6SzaePVZUYSCqZmliVhzsrINlVk6V5BEhHFQ2sXTstqLiUgUxXQ6HYw12UvNqNH3Byx/8PmksIoqKUxDjzCJkIQolTvWzBr9khjjtt3eSiCEELiz8kpZKNwYbA+jmMPV84jiou9OTVZnss8CAiUJdFlHEhKmahHHMf3pkDAMF+QljmMaTp1UyUnMLv37cVLIqlqF515Z3tE/+ru5dMxULDqj3s6IYjjmBOYYhK4ohUyan49s0h0NCs/neAWPVQ5LEsaO85qaVWXojaiaedrfcDLdKHOs2RX6BWWSURQRDCckMlQKjORlxyl6zf3n7uIj7//fCv/t1yOSJOHw8HAxfYnjeCUyeZk4TCYT/vAP/5Bbb72Vu++++8TOYTgc8uEPf5h6vc5/+A//4U0p5D7F1zdOCcsWvBHC8vVqrj8pHB4ecunSJc6dO8cdd93B84fPc+nmJZ7cf7KQDBSVMgohqBk1ZCEzjaYYirEz2nYZbau9QQTmRGEaTRcynIpewYu91zWBmceqZlm2IYdbLrdMkgTP9/A8jzAI87hkM49LVhSFPWuPUTjC1dwVWdw6jjuBaVmt3J8VhHzp6stoppovCtZe1zAb9P3BhiF583htkjRBkWQm0WRnqEERWVlgyYjvai6GYhDG0SLdag5VVtFkrTQ1rG7WV3xCsJS6Jqv4kc84HFM366XPS0WvMA4mhVMTsvw9x+GYip57p0bhmGBN+ta0mnRn0qT57qdt21Qq1cUiWZM1BKJ04rNn75Fm6SzGeDvpP45czNVdxkExyZhLBQViNl3K6HvDRerhHFWzshJ1vA3LscG7sG0Co8rKLK5YMJyOMSSda73r+L5PGIaoqjqLSzZR1Rn5N1xGJf4WBZnXrl/FssyVz2H1vVWyLCNOk6OI4jBg5B3J5441OUFgaLkUrgjHSfWqmBWG3gjXcDAVA89fjUwGqFoVBiWJXcchI8eJX95WyFkx3Fmcc8DImxYa8qMoonNwwLn2WVKl+HfnPEGsCE23RnfLa37oT38P777nXYX/9usdWZYxGo0W5GU8HlOtVmm32ziOw9NPP8358+e5++67T2wNMx6P+Z7v+R40TeO3fuu3ME3zRI57ij9aOCUsW/B6CcsfFXP9G8X169d55plnuP/++zfy29Ms5YXeC1y8mXe9LO92///Z+/N4ye66zh9/nv2c2rd7uzt7QkL2pDsJJGwSCEvWvjciIqKgIvJzYRlH0VG/M6MojoIzDshjBGdUHjqOQHcnIWQxAgkoCpp0+ibdSTp70unlLnVv7Wc/5/fHqap769ZyKnCTXlKvv6BT9TmnTtWt+rzO+7Xk9BxNpxnryejEFoeEUVzyiA30OKbvhJIgp+cwXTM24nZUzPBaCVrTbaLL+sAW8iAIMC2z3VdhUTSK2LKNoRsoqoKAgCJGREgQhG5HS1z4QAfFRJFlc5mW2WJ5eZlsJstJxZPQ2h0tHYIWPW4ldmIySAYWpV8lI3JlVQgJ23HDo691Z71B74kiqmS1NGEo0HJbKKIc621JaxlMtznSiAywObUJL/Db06J6N+Z5LTRZh4BY8jBsqtcx7zu+E6W2uTZe4GHbNktLZTKZNOl0evUJYTvxK6apfv31EogmIboUSYTqdmMsKVjUuRK/qR/kgREEgaweSRlN20RXjNjJQVpPRVK4EZ9XRVYgjJvAiBSMPAIipm1SbdXbZZWRaV+SpKgnKb8J0x9u2nccB6dmE2r0vg/rX/+QyUlU+prE9XxUUWWhPpqYj0PWxuldGUZEIm9JCtf1Cfyoj2cUxolNHkdSpikajusMnSwDpI00hqTjuB7VRr3nka7rsri4SD6bI5lMEoxYR5ZkwiAYGRAgi1L0m7x+4qxofOp9/zH6jE3QhWVZLC4uMj8/z8rKCrIsc/LJJ3cjk3/Y/Uyr1eJd73oXAHfccQepVGojTnuCVyAmhGUAXNcdmY+/FhO/ynCEYcjTTz/N888/z8UXX0ypVIp9/DOVZ5hbmOOZyjM8W302ljgOk2yl1BQJJepMqDv1qDhSz8Vq/qF3AtMx/3uBR8XuvWuf1tLYno3jj06V6xAqBKIUoCGEShSicsuDKwejxDHLQhCFblGlqkV33wVB4KTUSTi+MzpCmPbm1lyi0WhQrVYp5At9d7cMxaCgFWh5rb7JxHoUEyWWYzwriqgwndzU9dGMIpzjlUxG/TZ+6KOJUbzxIOKSUAy8wI99P9ZvwNdPX+pOHUmQIiN6DEEqGgXKMVMaSRBJa2lEQcJsmjx/+ACJTJJksrfrZhw5Y0JO4ASjiYgu6eSNPI5nUx3gfek53pA0rw4yeibyQo34M5QlmYSSQJVUfD+g2qoNnEiNM4GZShVZjCE+pWSRpebqYzrEwfN8VppVTMtECWQWqotRQp+uo+urZZUQBas0Kg30pE4ylRx6rNXpyigPkEhCNdAkHQGBSrOON2Aqm9JSNOzRJCKXyFKJ8QkNmmasx6bMFL4fEAbR+ayfhsHGmfanM0UW4kz7a4z9iqSQ1dOEgcDiygpH5o+QSqU46+TTY2OTpzJ5Fmtxjxls7H/9uZfx3jfdNPK5r1SYpsn9999PqVSiUCj0RCZ3fC/FYvFFp3mZpsl73vMeWq0Wd999N5nMie8dmuClw4SwDMC4hGXtZGUiAetFEAQ88sgjrKyssHXr1pF3MIfhhdoLzC3MMTc/x+HG4b7/vjbqdxR6Ws5j4m1HbRoVUYk6WoQQAqg4lZEmXIimNdDfA5NSU1F3gGdRt+tRwaCW7rm7HhJiW3Z3+hISoms6pxROoUkToS3oWut76QQAdF7LQnOBWq1Gs9mMOlbU3o4VWCU1hJGnJKtlAahZ9R5T+fro4mEoJabaE4AQEMhqGdTONMdd3bCNXTJpFFhel/SlSWv9NDVERCRRik17Kxh5VmJImSZpFBMFbM+havWn3HWQUpJRFG6MfK5oREllzUaTSrVCoVCglCmRUNqxz1adlJqi7jRGEsHOJGVUpw/0foYFBLJ6BkVUMV2ru2FOqSlajjk6IEAUMJREt09lGNYTCElsTxYRqVtNbNcey7sxjgdGFmUEURiaQiZLEhk1iyqpLDVWaLYaUeiFaREEQdvvItJsNjlzyxk44ujvjlERzauP6SVZAgIZPYooblgtTMekkMwTNd8Px7A2+rVIasn2VGTE53dd/HIUZpBFFqJOFct1xopEFgURSZJGJr4JghC11o/w0sDgSY3jOCyXy5xU3EIxX8JzfVaaMRHVeoKGNXoqlDFSA6dLv3rTz3Hmpo0rPTxR0CErU1NTnHvuud19TBiGPZHJrVarG5k8NTUV60GxbZuf/MmfpFwuc88995DL5V6GVzPBiYwJYRmAcQhLx68ymaz0w3Vd9uzZQxAEbN26ta+I8AfB+q6XohHJnEZ6C+gnDN2JSej1TBNEQaRgFGLlYhBt8CtWhbSaRhIlanZt4F39jJrBCqyRunaICEeyvfkd5lUJCXEdF83XOFQ91N18Rbp9HVGIxvYdo70iKhxqHGJ5ZbkbHz1ICjHIz9PB2gQzEZH55gIvjqz0w5ANkkoKVVI50jwS6w3pkqkRUESVnJYFQcB0Vpvr1yOjpWm5rVi5WM+Gv3sN5GjD315bEZUofjiGIE0lSiw0F6NizkZjYDFnQjZIqinCEBp2Y2js8zgTmJSaojWiu0WXdTJqGkmQWWwsjbwW06kpFhqjj5c12v0uIz4WeSMXSTUds8f3sR5jRRSPY1pPFiKvkECXLDetFpVGlXq9jmlGCXKhFHZDLwaZ9sdJBhMFEVUeXaSZUlNk9DQNq0VtRFP8OKRmrBS2GPN/Rk+T0bNUG/U+30vPscaYroxTFDnIJ9PxcKXTkSwyl8hQadXanhwD07L7OlTSRmrk5wcgrScHJpVtzpX47R/75ZHPfSXCsizuv/9+isUi55133sh9TCcyeWlpiUql0o1MLhaLZDKZHumY4zi8//3v58CBA3zzm9+kUCi8HC9nghMcE8IyAJ7nDRyhw8RcH4dWq8WDDz5IKpXioosueknaa1esFebm55hbmOPplaeHbs4yWgbLH04YFCmamBBGhCCurwMis/NCc11akgA5LYciKZFEyzW7McNxCWiGbCCKYtdIrkgKGbW/N6bTt7JirkTkxXW7RZWevxqXrGs6m9ObmW/OU1mukBATbNq0iabf7E9UG2PCATBlRF6UhJIgqSajYs+2T2Ut4sjK6nGnWWwtILWnOaIgUrfrfV6RKaNNpkZAFNpRyFal+2+GbJBSUniBT9WuEgQBhmLgjyEXizOqdzb8sqiw0FgYOV3JalEq20plBbNlRqRRXUcaB/hWUkqyXVzpdYMHBiWH9V0LJBKqEdvdMpUosdha6krtZFGhYTd67oCPM+0YdwKzdgIRJc2lo7CAVr1LmIqJPOWYNK+EmsByrZjYaBFNVgfG/QZOgFltkS8U0BSdwytHotALx0GWFYxOYp+sIAjjTVfGIRCFRI7lVmX19WtpfC+g2qp3wy0io32TFzM5GQRZlBEEYeTUWUBAUzUsx+rxvUTekjWlv1qSRsx7O85UaD1hsW2HcnmJTCbT9TMUU3nK62RuhqKT0lbPrZjOjyEZGywHu/nKd/DWi1838rmvNHTISqFQ4Pzzz39R+xjHcSiXyywuLvLtb3+bT3/601x99dXcdNNNvP3tb+ejH/0o+/fv51vf+hZTU1Mv4auY4JWECWEZgGGEZWKuH421SWDnnHPOy0LkOl0vcwtz7C/v727wC0aBql2NlWzpst7t7cho0V2iQXHJAsLAlvtB2JLagh/6Xf/MMKTVNE7gDI2mXSvlCMNw6KTB9VwsMzIdG6GBKZr4no8syxRLRURB7PFpNOwGKTU1HllJDL6rr0jtbogQKnaFgl5orxdHVoaRpKgBXZd0LM9ClbTYyYqAQF7Ps2wNvwssCRJ5PY8iKKzYlZF3wnN6buiEq+c1tD0wotje8AsyTadJa820RZN0wjDgyNIRHMehVCoN1H9PJ6dGRjkrokJBLxACFbMyknCNU1qZ0dLUneZA6VlSSUYyNS9qK69ao6Vn40xg0no6CtIYcEk7vSuKoGJ5DrUYf8s4EcXDSEaj0aBaq1IqFtmc30zDbpLVM4QBLDcqNJpNLCvyjUmSRDaVRVZlZEUZatoXBRFFUmKjpTN6mtqAYANZjG5CiEgIiCzW4gonNyY2eZj5P/KWZAgDASEQWIrxyYyTZra+48W2bcrlcg9ZURUV13NH/t0lVJ2EkiAMBKqNxsDJoCiISKLY388kiHzyJ3+VtDHcq/RKg23b3H///eRyOS644IIf6rfasizuuusubr/9du69917K5TKGYfAHf/AHvPe9750Qlgk2DBPCMgCDCEtnsuL7/kQCNgCdJLBXv/rVnHrq0dEJW57FvsV9PFZ+jAfnH4zdSHQig9dLcNZKoWpO1DC/3l8yDOuTuwwlutvv+E6Pf2bcBDRd1pHa0cFZNYsqq7ScFk23986nKEaG/UOVQyyXo0LKIAhQVAVDN9ANvSsJm0pOYXlWVDDpDy6YhPYkZP00aQCmk9M4voMiKjTcxlCZ1LgTnenkNFW7RlpJERBSNav4rNughO1pSAyBlIXIEN7x9qyNTa5aq+9HSk1i+06sH2oUKUiq0Ybf8zz8IODpQ0/j+z6lUmngpDGamlRGHi/yoGS7j+v0vliuHW2C219DBaMQG9EsIkUliW7MRKQteczoWQgFama977qktGSsB0YQohjkuJ6bDslIae0yVtfpu2ufT+RYaU8phkGVVYLQx1vz3R0SRbg26o1u30RaS3WLOzvnmTMi4llrNanUq+ioHF45AtCVXeq63vO9P84EZpzzTqoJWo5J1ojIW9M2aa1L74o8J6PN/4IgoCnR5GQUhhGotSgkC4RhiIRMvdUa6FEZRzK21tjfScfL5bIkk6vkYSzTfrrAYvtY0fuVQRYU6q0WlhOR+GI6T3nABGbbmRfwc9e8e+T6ryTYts0DDzxAJpPhwgsv3LC9jO/7/NIv/RL33Xcf733ve7nvvvvYvXs3V111Fdu3b2f79u09HpkJJnixmBCWAfB9H89b/WGYJIENx4tNAnu54Pouj5UfY25hjocXHu4zvef0HA2nESvZ0iQt6n8QiNK9nOGGz7gNuSqrZNSoWK1slWM3x53Sw0EpYEkliaEa2J6N6Zqk1BTztXnKS2VSqRTpTJogCFbjXi0bWZY5KXsSlmQhK3LXtN9pb/c7EqowGDpZGec1p9QUhpzA9m1qbZI2tvysLRdbi0gO1zYNO3UszxrbsJ/T86wMmcCoUvR+CIg98c7DMKjfZeDjtDxPvfAUSSXFlk1baLiNvsmIIRt4gRdLWEdNYHQpet8IQxqOiRVTWjnOBCatpmm46ycwa4ITHJOm0yKtpWI3veNs6FNakqbT6rumqqyS0aK2+ZrVQJNUmiP+9qB/uhASUqvVaDWbkRxPUcfzgCRLCIi0bJNybbn7N+T7fjdxLJVMokhKrMRwHHIwaOIRkV8D23WptepMZ0osxExgRhVOdpBNZKnGpJBFcccma8diGT0i+i3LpmG2UBUVz/NGElZJFBEFCdd3sSyLcnm5j6wICGiK2m2kH31Og9//TheNEErMV/rf21++7qc47+SNK0A8nuE4Dg888EBXsr1Re5kgCPj4xz/Ovffey7333stpp50GwKFDh7jjjjv42te+xje+8Q1OPfVUPvzhD/Mf/+N/3JDjTvDKwoSwDMBawjIx1w/HRiSBvRwIwoAnlp9gbiEqqlREZayyxUEdK+vTvSCSIuSNPOUhbehr0TGRy0JUhCciUnEqfRK0FxOZnFST2C2bwwuHUdIKiURi4GO1QONQ5VAkexGjrgrd0FFVtUteZDEqrbQ9m6pTGxjP2sEgctF3TFmjlJjCdFtUrSr+CM/HuKRmS+okvNCLIojt1SlDD9aUUY6CJMgklMj30ZmqrZd3QeTpMD2r731aj7yW57HnH0OWZQqFQvv7QiCjptFlDcuzadotEmpipFwQIK/nY3uAOhOYmlXrygcbdrOP5OaN+H4XURBJKIlY4rYltRkv8PF8j6pVIwj6/44SioHt2/gx4SXjRB1PJ6dwAw9JkKlbjYF3+zN6itqajpeQkEqlgmVZ3cAJSRTb0dWjN8drpyK6opNWU7ieT7m2TLPVxLIsEoKBiYWuGxiGPlDuN46ELakatBxrZIdJUkmQ0qK+l0qzPrTUNUoQiylVHaPnpZQusjQi7thQDUqJIvVWk2qzMfTcOxOYVbKS64vyHqeUcpwCzJSWoGG3+nwvhXSO//LjH538brNKVpLJJBdddNGGSdqDIOATn/gEd955J/feey9nnnnmwMc1m02+8Y1vYNs2P/7jP74hx57glYUJYRkA3/dxXbc7WYGJuX49XooksJcDYRjyXPW5KC55YW7oFCGjZbA8ayRhMBSDjJpBFMSBscvrMdCwT1vioOeQBIm6XY82s2Ma9gVBYH5lnlqtRqFQIJ1Ik9WzUR9Eu2BSFmXSarq7+Q3DEMu2It+LZUYN3IaOoRucnD+5Gz7QkcbJokzTbmF6q3c4h72W9VhLQqIizdwak7018HGj1+slSWp7AhZ5Lqp4YXTNxjPsi2S0zEBZVkJJkpQTuIGL7TmEYYAVIzFMySmeOPAkuq6Ry+WHeh82JTfhhz5BEFKzqgON+z/sBCalpLrSN9uzCQl/6MCBaN0kLW9VCiaLq8S7atW7Ebg5I0fFrIxcq5gsUm6OJpS6rOEF3qpnQYh8OJqkY9kW9fYGfS3xCQlZWVnBsR1KUyVkKSIT0+kSCzEekFFJZbIkRSERSFQaVVbqFUzTwnGi6WVHOqYoKgJrijJHYJwyybWhBZHvJfr7rrUa3es9yLS+HuN4TsZLRpOQJQnHc1DktpctgGqj3uMtSWoJlirLLC8vk8/nBt5I6aSDjcI4r22QPE2RZG7a+nbectHrRz73lQDXdXnggQcwDIOLL754Q8nKb//2b7Nz507uu+8+zj777A1Zd4IJBmFCWAbA930sy5qY64fg5UgCe7lwqH6o2/VysH4QaBv2Y6YBsGrYbziNrtzLD32qVrVHKvFiDPulRAnXd4d6VTpIqSncwGW+PE+r1aJUjPT5ayEIAkWjiCqqlK3yQE9PSIhjO5imieqpVJxKN+pV13o1+2k16nuRBJnDjUOxr2U0CREiP4asIQkShxtH+MEN+xFEIdpQJtUES63y0HhgiA5VTBRjk+EkQSalJpFEub0prw6U8qmhwoEjL6AnDDKZzFCy0knoWj1nsUsKO5MREYnkGBOYcTwwnUkTEAUkWIODKHJ6lopVY9R7EN8DE0nH0mqGSqsyNF4aQJU1wjCIlUUWEoWRZa+GolMwijTtFlWzShCGLC8v43le5B0So+8mXdFwfS82hGM8CVeRcnOZrN72uTXrXfJiWRaiKLIlvwkLG03Tht7oiqYCvdKr9ZBFCVGQBpLNtR07YRDGEp+xyNEPYewXBZGskUUSZPAFDiwcZHl5mUKhv6wWVqcio6DJGo7vxHTzSCAIfdNPSZT4vR/7NTLGK7tZ3XVddu/ejaZpXHLJJRu2nwnDkN/93d/lb/7mb7j33ns577zzNmTdCSYYhglhGYAPfvCDGIbB7OwsV1555XG9Id9oHI0ksJcLS60l9i7uZc/8Hp6uPD3yRzKlpvACb+CmWBZlsnoUl1x3olLAOEM09Bv2oa1l7/pBoo1iRsvQclvML83jOu7QBCpVVtEkrSubyqgZNEnD9Hr9GqIgktNzlM0yruNiWiZmy8QPIs2+obe7XkSx2wXS6XvxAm+gr2PciUknCrnTVu76HlW7f70XF5kcHTciWDqmb1O3aj3SsfE9MFlWekhBlGamiTqmG3W+BF7I8mIZPa13k48GIa8X2lOu0Z+rrJajbteprTvntdAknZAgdmqy/nUKrAZKNJwmpmuiiAqSKI0meMQnmgHosoHne3iBR0KNOnccz6Fm1Xve025XygiMI6mSRRlJlLA9G0kQsaoWgR9iZJM9Nw1KyQJLMccbZ0OfUA1M1+r7fKbbgQEt26ZcLRO6ASuN6HPc6UvSNK1nszjONRiHQHQkbN3QAqc/tCChJjBdM76UMyYSGcaTnqmhyvzCAqdsOhlBkgaWPY5j2h/HkD9sncvOuIifffN7Rj73RIfneezevRtFUbj00ks3lKz84R/+IV/84hf51re+xUUXXbQh604wwShMCMsA3HHHHfz93/89d9xxB4ZhcNNNNzE7O8vrX//6gRvDVwqOhSSwlwtVu8rDCw+zZ34PT6482XNnNqfnaLrN2B92RVRIqkkEQUAShhdMQtvbEjOB0WWdol6k6TZ54oUnCAkpFovdu8hrYSgGAkJf2EAHnU4Vx3cQEfu8EiEhnudhtkxMy8R1XLZktmBJFrqh9xxTbvepCAhUrCp5PR/rbYle82ASoogKWT0bybzsGlkt256EjFta2Q9N0kirKYIwRBYkFmLkYgAlI760UnAEWsstMsUsvuwPNSGn1BSWZ8XK/NZ+DiK5W5ow6Mjdos+gKIik1XRP6twgdHpgRvkjUkpEkBp2I0pNG0KQMmqaujPcr9BBXs+zMkAKpkiRdIww8vTEScFkUUKRVUwnJkigbewPgoByuQwC3b+JrNaZPsDSGMeTJTnW3zIOydiUnsYPfDwvYKGyGPUlWRaet9qXNJUt0fIsRn2mJVFCFMTY75msnumLoO54bzzfp9KsUUwWfujCSRgv9Uzw4IX5QxQKRQwjakNPqAmSShLH9ag2ayiSHKVuxqTMaXK8IX+Y1O0j7/hZXr3lrJHPPZHRISuyLHPppZdu2I3XMAz57//9v/Onf/qnfOtb3+LSSy/dkHUnmCAOE8IyAo7j8I1vfIOdO3dy2223IUkSN954IzfffDNvetObUJT+5vATEWEY8swzz/Dcc88dU0lgLxdabqs7eZlvzrPUWhrd0E67EFIQeyVdnYJJsV0w6ZkvSi5WTBRZrC+yuLSIruqcueVMBEGgYlV65Gujpj9rIUsySTmJ6Ztk1AxBEFBxKt1S1NXTFsgoGV5YeQHLtHAcB1VVu9KxjkcAIm+L67tRopfbwBoScTzuxKSUmMIPPCQx6jpZ66PpvTYlyq3l2PWmjCmWrWUyWhZJFIeSyHEmMI16k6AZoGZUdF1HluQodUwQqVk13CBaV5HUdtfPaPlLTs9RtaoDSUFXOibIiILEfHN+5FqKpEQThxjfzVRiNTlMbZM6Qqhata4fSBIkdDk+DrmUmIr1wMiijCIpbSmgTNNuDix5HCdhrFNu6fkeS0tLSKJEsVjsmfpG0cpRKpUu6VFk8oDN7TjHG6ckURal9sQneu87vhcBgcVqmUaziWmaaKGKLTht34uBovTfCFvrXRmGXCJHJYZApLUkmqRDCJVWfWBwhCiKqLIaG4mcS2SpjEgZa7VaBC0fORX9TQyCKqlsSk3RdEyqjfrQYIZxvCvZRJpqq/892Zyd4rdnPzryuScyfN9n9+7diKLI1q1bN5SsfO5zn+OP//iPueeee7jiiis2ZN0JJhgHE8IyJlzX5dvf/jY7duzg1ltvxXVdbrzxRmZnZ7n66quPG9P5i8XxkgT2csHxHfYt7eOhhYfYu7h3YBFhXCFkBzktR1JNUrWrY7STT3Goeoil8hK6rpPL5brJXpGZPWqMD4OQmluLvSurSiqarPV1ZHRM1IIgdIs3C3qhx+vhB35019i0sG0bWYkMx6cWTqXiVrrnBVHaWacMsnOscclK0SiybK30ROym1PSalLba6uPMldi7/yWjyJK5ntSsJni1XJOG24glK2EI9XoN2ZKRMjKa2v+3LwiRR0eTogS2+ZiAgshk73dJztDX0J7ARH0yBpbXL3cjbKeCxSSMpdQUpmMO9Gp1CJIkSkjIsQQpISdwfGdgoV/P+SeLfdOOSE6lt7tlGqT1NA27EZvil9HTrDQrLC0tISvtVLZ1I6JBQQKr04eAqlmNfBKeE5toNg5hmU6VWBhCfDp9L7qks1RbplKvRpHjdmTa70jHFEVFkaLCyh9kurIeaz0nUcBH5Jmqt5rd6cU4kcgZIzOy3LPZatGsNskVcqiaOvRxAu3JSVvGlzWyiKFErdXA8VZf7zjXu5TOszSge+XHXnsDbz7/qpHPPVHh+z4PPvggANu2bdtQsvKFL3yB3/u93+Puu+/mqqtemdd3gqOHCWH5AeD7Pv/0T//UJS+NRoPrr7+e2dlZrrnmmoEGw+MRrusyNzeH53ls27bthCVlPyj8wGf/8n7m5qO45IbTGLvfRREVEkqiK+tJKJFkYq1XpYOp5BQHlg+wXF4mnU6TSqf6NmYQyXE6nhlFUqLOkgGESld0JEGiOcIUDdEEpqgX8UOfhtsYuFYQBJiWiREYHK4dRpKiuGRDN1BUpec8DcWgqBVpuI2hk4QOiok2CRkxyepI5EzfomJVRk69Cm3/SByp2ZzcjB/6uL4btd6ve3wYQqVSQfc05KzSLeMchlKiyFKrvCqJ8R1qVq9MSxJlDFmPJa0ZLU3TafURDE3SSGsZgsCnYtUoGvkeY/8gyIKEJsVPTYpGgWVrpd2tY2A6Vl8YgNAOUIjbOBeMPMsx0cqGYpDVs9iuHYVXDIhMhmgicrh6hKXFJTRNI5fP9f1NRMZ+v6/5fC1kUWY6OYXjuVTM2tDY6nE8MJoSJWx5/mjS1kk06/hemqbJUq3clY4JgsCW/OZY034+kWUlplNFkzVc3x36t5HRon6VIAxZqsV4ipJ5lpuD379ms0WlWuHc086hMWQK2kExmac8ZJ2snkGVVEIPlmKmK5oSEc31WxhN0fj9d/86uvLK+73yfb+b3nnZZZdtKFn5q7/6K37rt36LO+64gze96U0bsu4EE7wYTAjLDwnf9/ne977Hzp07ueWWW1haWuLaa69lZmaGd77znT0lWccTOklgyWSSiy++eBI8EIMwDHm68nQ3cWyUyd6QDURRHEoY1hraJVHi+aXnWamsRD0GicGfp1KiNLBbppPs1fJaNJwGSSWJH/rxcjFRJqWmelKooolBv2m/M5EIwzAq2bOi6YsgChi6gWEYqJrK9BpDvCIpZLUsQRhQs2o9BG/QZGUQcnqeul3DD/32ZKgd92rXeuKAc1qOulOPTX3L64UoQIDouIqokNUyAFTsGq7vsLy8QiJMoGbV2L+JTkDBevS8drvejpwevVlUJQ1REGLft2KiRBj4CO2I7JGeqRj5li7rXfK2FoZsRCl1vkvVqlFKxBdSKpKCKAhdqdQwrC23lEWZjJ5BQKC6hkzosobpWBxZOIKhG2Rz2YEEftA0Zz3yRq7ruelOHwSFut3AcqLpQ9Tfog4k7D3HG6OUcliQQBQ6kcJxHSr1Go1mg0arQRB0TPt6N/iig3ESzcaRunXIWOccXNej2uol1Skt2U706t8uNJtNKtUqm6amMfRE7FQorY0R95wsYLp21OfjuNRaA2R86QKLA8z2bzr3Sn78qhtHrn8iwvd95ubm8H2fbdu2bZjfNgxD/uZv/oZf//Vf5/bbb+fqq6/ekHUnmODFYkJYNhBBEHD//fd3ycvBgwd5+9vfzszMDNdddx2ZTOZon+JYOJGTwF4uvFB7gT3ze5hbmONI40j339NqGjdwYzeeoiiS03IcXDqI3/SZmp7CEZyBm+6pRLtzJOYvuZQoIQlRGtQow7YsySTkxIj42vYGS0mhiAqHBkQch4TYlt0lL1k5iy3b6IbeF5csCiJZPYskSIihyKK5NB5Zcer4AyZZgiCuGq7DkIpV6foxhiGrZWk4jeGkJgSrYqGgkCyksPyYzesYm2WIPD9O4KCICnW7PvBzIQoiaS0dmeJHIKFEm8VVstZpqFcxXbMbMzwOWREQyOiZ2GMWjAIi0Sa6YtaGThaLiULbYzQcaTVFw20OlIJ1CjIVUcZxPB597lGSyWQUIT2ArMR5LQBEUYgmHM6QBnUtSpmTkDlcGy2JS2sp6k5j5N+gIETm82GN7R1sTk/jBj5hELK4skSj1cKyzK5pX9d1TipsphYzkdNkDc93RxrbCdupX+tuniiSQlbPRIEPzQa5RGZgglqj2aRWrVIslTileBKLIwonYXTPTQe6omO7dg9h0mSNtJYi8EMqjTqEIbKs4KwjwIIg8FszH2FzdmrkMU40BEHA3Nwcruty2WWXbShZ+fKXv8xHP/pRdu3axTve8Y4NWXeCCX4QTAjLS4QgCHjooYfYsWMHu3bt4umnn+aaa65hZmaGG264IfIgHINE4JWUBPZyYb45z575PTy+/DjPVJ6JvQPZIQzPzT+HZbabuhWlGz/c8Zd4vjd2geN6qZoma6TVNH7gU7VXe2NUWUUV1Vh5kiAIFIwC5VZ5tYMm8Kk61T7T/lRiihcqL2CaJqZpEgRBV6+v6zqiEG14i0aRFbNCSk2hyRotpzlQspTVcjTdeNldRstguiaarGPIBpZvUbfqfUlYaTWN5VlDSxp9P2BpaYm0miKVTxEQdCOTLdemts4HlDdyVKxqrAdj7TShey5aCkMyML1V6dU4CXKyIKMro2VlCSVJVstgeTaVVmWkPG7YdGgtJFFuk6FoAy60fS+KqFC3Gl3yVUwUKbdGb2QFIfInrfdUrUdKTPL4C0+wubCJzcVNXd/LWoiCiK5otGISxqZTUyw0Rr9GQzVwPBtV0qIJiOdSM2usf2vHIUjjTDs6/qzOZ0cSIzIvIrFcX6Far2OaLaRAxBeD7t+QLCt93T/jmPZHybM6SKpJdFlDQKTWauK0vXn1RoN6rUaxVMLQdVRJi51CjZMyFjepkkWZzZlpLMeh2qzjeqvfA+eddDa//PYPjFz/REOHrDiOw2WXXbahYUC7du3iwx/+MF/5yle44YYbNmzdCSb4QTAhLC8DwjDkkUceYceOHdxyyy088sgjXH311czOznLjjTf2JdscrXN8JSeBvVxYsVaYm59jbmGOp1ee7tOW67KOiMiB+QN4nkexVOxJ4epAFES2JLfgBA41pzbS4F8wCiM9HpH0KYsgCH1yr0HoTH8Gyd7Wm/bzWr7HwB4S4rpu17Tv+dFd45OyJ2EJNqLY+3cQ9dAkcQKHqlUZm6yk1BS27+Cuk0Styu0iomZIBm7oDpVOeV6UQJXRM2TzWdywn9To0qqELwhDmk4j1nyeN/ID+2vWn+tUokTdbVI1RxOMglFkOaYEUxHbaWVeC0WMGsojSV6953rmjQIr5ui+GIgnUik13fXtxG1SR5nVOwjcgKWlRRKZJKnkat+NruiklRRu4FE1a5SSxXhi0CYicUb7QRvsjqQvDEOqrRpZIxO76ZckCUmQ+iYC6zHSKyMQFXNqaRaryyzXlrGsqKyy4x3TdQNVVTEUDWeEdwWAEFJ6kkZMp0ovgYjKKlv1FvOLC6RyaVRVpZQuxnaqpLUk9ZhjSYKEKAi4MX/faT1J3WogCKvlmY2Wyfvf9GNcdMq5I597IiEIAh5++GFM0+Tyyy/fULJy++2383M/93P83//7f5mdnd2wdSeY4AfFhLC8zAjDkCeeeKJLXvbs2cMb3/hGZmdnuemmm9i0adPLTl4mSWBHBw2nwcMLDzO3MMf+8n50WcfxHF6YfyGKOy4WBxZ9iYJIXs+vJncJkFWzqLJK023SWiNxGeZtWY9OFLLjO1151qDI30HelmGYTk7j+G25kzNY7uR6LrpvcLhyGNd1UFUNox2XvN4jUjRKSGLUS1F1agRDSEFKTeH4Lo4f09/Q9vf4YUDVruGtm7C4rsvS0hK5ZI58Ph8rA0vICQRBQJc1QIy6UwaYuNNqCtMzY0lNwSiwbC1DGE3dsloWIYz8NGvPdZxCx6gEMzcwOUwSouhdUZCwHQsr6Cd66zEofWvQMbN6lopVQZcN0moK1/epWpWeCUVGT1O3Rne8mJaJV3cRk9JQHxdEkiNZkKNwBKuKP8QAn0/kWYkppRynuFIRFfJGDj8MqZuNoYRkrJhmvT1hGvGnKooCmqxjOmZE5hUD07ZZrCxF/jEzmipFpn0HXR9u2h+nU0ZXou+ktcSnXq9Tr9cplUrkUzkScgIQWayWh/b4wHjBBWNFORuZgbKy6cwUv3PDfzjqN/9eLgRBwN69e2k2m1x++eWo6vBktheLu+66i/e///389V//Ne9+97s3bN0JJvhhMCEsRxFhGPLss8+yc+dOdu3axb/927/xute9jpmZGbZv387JJ5/8kn/5TpLAjg1YnsXuF3Zzx+47OOgeJJVNDXzvJVEiraZHEoaUmsJQDGRkDrcOx3pb0lpbErVeqiZE3g5ViiRibuCSlJOxhYUwWFIURfHqPVOcklFiqRWVQvq+35aNWTiOjaIo0V1jw6CULPVMVtaa7Kt2tbuBTypJvNCLjZTW5EiKtl7OJIsyDadBtVmjXF4inylQzBdpxaRpqZKKJEiY3qoMKWqVz6GIcrdV3lAMgjCIPb9RpGbVHC4DYnuCFSc/i5d4dQopQ6LkMdMZPG1LKSlM3+wpUx2EYXLFqBg0QxgI1O0GsiT3kOz1aJkt/LqHnJYxjMTQxwlASluVla31RtXtJnZbrjTOxlkURDRFiy2u7JGVrfl7adktmnb03ISawHKt2O6mcfwdw+RSuhJJPF3Po9FoUK6v0GqZBIGPruvouoFhrDHtD/GurMd6AlGr1Wg0GkxNTXXv5neuZ+QzSeN7AdVWjWDN1iKhRglzo0ipgICmjCErS+ZYGTDR+vHXzPCmc14ZUbsvJVn55je/yXvf+16++MUv8t73vvcVQwAnOPYxISzHCMIw5IUXXmDXrl3s2rWL7373u1xxxRXMzMwwMzPD6aefvuFfHJMksGMH1WqVPXv2sHnzZs46+yweKz/G3MIcDy883G2rV2UVXdJHmuE76CR3ddOHPGcg0Rg3hlmTNdJKGqGdVLU+2nYtxvFcJJQEeS1P020OJF9+EGCZUeKY7Mq4oouqq+2eCqXnRm6HbOiihhmYsUZxVdZQ2kWUg2BaFlbFZHNpC9lMloXWaI+QLCoYsj7ymgAU9DyqpNN0GiNTknRFhzCMLX3skJqEkkCX9B7fy1pE/TPxAQCD+mcSSjKSdXkOVauKLMpocvQaRiGrZ6nZtdjJ3nRyGjfwkAWJmtXoI3LNZoNmrUmxVEQaUK7Ys1aMrCyjRRM123NiicF4fhMdxx/e39KJspaQOFIb/Rkax0syrqxsKlUiCALCEMrVZerNBqZp4XluJBczDE4unkQ15ntk7XQlDCOy0mo1u546YKisTBYlMnoWIRSpturkjWy8n2aMLpgorazJeoKe0BJ8cuY3UOWN27gfqwjDkH379lGr1bjiiis2lKx85zvf4d3vfjef+9zn+MAHPjAhKxMcU5gQlmMQYRhy5MgRbrnlFnbu3Ml3vvMdLrnkki55Ofvss3/oL5JKpcKePXsmSWDHABYXF3n44Yd51atexemnn97z34Iw4MmVJ3lo4SEeLz/O4cbhkWsJCBQTxYGEoWuOD32qVpW8HpULxt35HdTb0kkJi7wl0eZvrRE/DmuTzXoCAKxqz/nk9Dw1q0rDbHZ7KkRR7Ha9qJqKQESAgjDA8iwyWgZd0rtRzmuhiFFhZmMIuWi2WlRWKpQKJabzU1StKoaSiF6r70Sb8DWbJVGQyKhpKnZl5OsVBYm0muqSRkOOrp8buFTN1TUlUSKhGLGxr5qsIdAfc9yNpvVdqlaVtJqi6fZ3t6zHOCRTlTSmEyVarkXFqg6V5MmigizKWN7o6UQhUWC5JzlM6EZnt5wWR5bnqdfqvOrkV2GGo9dKaSlaTiv2s9xJb+v24ngO1XVliCktSdNpxZKtcQzkncdoskZGS+P5PlWz1tMvI4oCuqzHhgSME5uc0dNRCER7+U5ZpSzIrNSrVOpVbMsm9AJ8IezKL0eZ9iOyUqXVavWSFcZLf9NlHUPWkUWFhtXCdAZMUEJI6kmasX6awsBr8I4Lr+amS9858rknAjp+2EqlwhVXXLGhiojvfve7vOtd7+Izn/kMH/rQhyZ7ggmOOUwIyzGOMAxZWlritttuY8eOHdx7772ce+65XfJy/vnnv+gvlkkS2LGDgwcPsn//fi688EI2bdo08rFhGPJ87fluXPJ6ic8oM/x6bEpuiqJ+Q9qSqsETlnF6WzqEQxVVjjSPxG4aR8mTZLHt1UAgCAKqdrVnsx2GIZZtY5kmpmUhALlkHiOhE0r0bboSSoJE2/htuia6olMfcme53mhQq9WYLk0xlZmmMsDvoUgds3pI3WqQ1lKRz2QEBATyen7o4zqhB4TRPjOO8EmCSFJN9qWTrUdKTZJQk/i+R9WqDY12HlZIuR5rSY0kSGT1HCIiVavW43kpGIXYz6Am6wRhMNArEwL1Wg3P9Dj31Fdj447sGxGIZI1x12Nt58pa9KTcmdV2hPTo6cM4ZGVYbLIsymT1LEIoUDFr5BM5FusxnTiKjjtimrN6XiPKJIXoOmXVDOVGhXK1U1Zpt28CRORFVdVIxuZZBEFItVrBNE1KpSmUtVOuENJ6fKfK+mlVpzDTdGzqZkRQRpVSdhCVYDp93y+yJPO72z9BxjixvZdhGPLoo4+ysrLC5Zdfjq7rG7b2v/3bvzEzM8Mf/MEf8Mu//MsTsjLBMYkJYTmOEIYhKysrfO1rX2PXrl384z/+I2eccQYzMzPcfPPNXHjhhQNN2mufP0kCOzYQhiFPP/00zz//PFu3biWfz7/oNQ43DncTx+ab8ySV5Fhm+PXSH7EtqZJEiapd7XpZ0loa27djJShrjfidzRghVOxKn89h3BjmvJGn3i5VlESZmlXrM9GHIUiBRLPVoNKoEoa9cclrf3RlUSGjpREFiSD0qdirE4IQqFVrNFtNpkpTTGemWRmD9E0lpvDDABGRmtMfUNDBONMLiPw8y9YyWS2HJIjU7PrAa98/meiHKAg9G29RbL/H68IUxi2kzGgZGk5jIBntNN0rooosyD29Q8OQ03MDP6vRexHdzT9ty2kEYoAf+KiSRkbLEAQ+FavWE509nSyxEBMAIIkSiqTE+iOmk1N4oY8QQtWqDwxNkEUJRVZj/S3jxhgnFAMBkbrVxHYHywCjycLo93wcEiWJIrKoYHs2CdUgqaSwbYv5tmnfsqJI5c25TdiC0/43m6mpUl+3xzimfVVS8QNvaBdMZyIoCRLzlaXRUdvp4kBi97pXvYafvPJHR57H8Y4wDHnssccol8tcccUVG0pWdu/ezU033cR//s//mY9//ONHnax8/vOf59Of/jRHjhzh0ksv5XOf+xyvfe1rj+o5TXBsYEJYjmNUq1W+/vWvs2vXLu6++262bNnCzMwMs7OzbNu2rYe8WJbFBz7wAbZu3cqv/MqvTJLAjiKCIODRRx9leXmZbdu2kUql4p8Ug3KrzNzCHHvm9/Bs9dmhcpY487UgCGS1LAklKo6MizgeVTK51vRcs2tktWyfR2IQCnqBir0uhrmThCapNJ0mLbfVM/0JAddxMNu+F9/z0XUN3TBIJ9KktBS1NR6ejmkf4NnDz9K02mQlPR0bDwyD/B6dkkYtSmpr+44G+ULGW2/NmmKnk6Y1lnkeoJQotsMMBkCgLZuLZGXzMQRSlVREQYwlNVkt8q1EUdQJTGewp2ZYqlkIVFYqWLbFdGmKfDI/8HO1NnAh8IOo8yY2gnnE9WhDVzQ83+9OG4V2hK/c7pXp+GtKqRJLMUREV3Q8341NguspGBWiaZcm6Zi22W6Wh4yRpmaOnh4JQhQBHhdRPJUuDdz0q7JKRsvg+z71RotybYlms0kQBGiaTiIRRSZL0qppf5xI5HFIWy6Ro9KqtOOiM4QBVFv1nmsnSwoQ9BFIQRD4res/zubs9MhjHM8Iw5D9+/ezuLjIFVdcgWEYG7b2Qw89xPXXX89v/MZv8IlPfOKok5Uvf/nLvP/97+fP//zPufLKK/nTP/1TvvrVr7J//36mp0/c93iC8TAhLCcIGo0Gd911Fzt37uTOO++kUCiwfft2ZmdnOf300/mxH/sxWq0Wt956a59PYoKXD57n8dBDD2HbNtu2bdvQO2Ud1OwaDy08xNzCHE8sP4Ef+CO9LetRMApUrUiKldEy7RLHVl+J47glkxBtyN3ARZEUGk4D0x18d7poFFm2lmP9A6VECVmQabmtvk1tCHiuh2mZuJaL6It4stf1vXQ2XWEYsry8jOf5nH3y2aT1FMvWSqz3Yio5zWLMJj+lpsm1N/C1GDP+uKRmc3IzXuhju/bIgsVxYo5hdfKTUBIk1SSWa0XrrtmzrI0mHoVhpGbVq+NRNatkjRwVs8J603QYwsrKMo7jMjVVYnNmcywxk0UZve2NUESFul3HGjChGCYF639cvt0/MxgZLeqVadiN2D6RcaZgGT0TfXaHfNQTaoKknEREYD5GMjaOv0WRFCDEHTA16lkrWWBhcRGrZaOldFpWVPjqupFpX9d1Ti6eFPu5ViWVIPRjSVsUU9z7NywKIlkjixRK1MwmOSPNwoBrcOmpF/Lzb/qpkesfzwjDkMcff5yFhYUNJyuPPPII1157LR/96Ef5//6//++okxWAK6+8kte85jX82Z/9GRDd3Dv11FP5yEc+wm/+5m8e5bOb4GhjQlhOQLRaLe655x527tzJbbfdRqvVYtOmTfzZn/0Z11xzTd9of4KXB7Zt8+CDD6IoCpdeeunL8j603BZ7F/fyxPITPHDkgf7o4nUoJoosm4MJQ1JJklASWH5U+CgIQneSMAzDiFJaS2NIRo8xftSx1yKlRmb1zh3vThmk47vU1txtl0WFhJJgubXcLqo0cRwHpb3pskwTBIFSsch0arp9jqvGb3OAaX9cSVspMcVSm4REHSTpyAhv904DikaRsrlMXCzx+sdpkkZGzeAFXruAsv24RInyGKR02KRGb/uR3MCjalUpJUqxZGpcUpNSUiSUBF7g9ZRVriWOpVKJUqr0AxdXdrp1Wq5Jw26iSAqSIMYmrvVMOoa+ztXY5NX0PZfqusSxcfpbBEEgpSZj/R+d8+pGBg8w7UuShCxI2HGllGOQmrSe4vnDz2M7DlOlErIcRVArgkqlWWWlVsGyLAQPPMHvxiUrijrAtB8/Xcka2b7rtx6yKJPR00iCTMsyadqr3zm/9s5f4vTiienD7HS2HTlyhCuuuIJEYnik94vFY489xnXXXceHPvQhPvnJTx4TZMVxHBKJBDt27OgpqvzABz5ApVLhtttuO3onN8ExgQlhOYHx3e9+l9nZWd74xjeSyWS44447kCSJm266iZtvvpk3vvGNG9qMO8FwNJtNdu/eTT6f54ILLhjpNXqp4PgOjyw9wtzCHHsX9/bp+dcmd41CSk0hiRKqpHbTqAZJckRBJKfHhwAklAR5PR/1n8R0vKTVtq9miF9kbQu5HwR9xnnfD2i1WtTqUeSuIsuclDsZS7SQFbmv9y6SNyWxfRtNUseahBSNUrvUs/+adEz7YQhhEFJxKrEhBVktS92pD31cZNqPNpVL5lLsHfSCkWfZWol9nzclp/FDP5JqWVX8IcEM48jU1pOayLSfhUDkqReewvVdSqUihpogDMPY0s+iUWgTuOEwlAQFo0DDbo7cFGuyRhD6sddt2AZ8rWm/YbeQRDHWKzPOZj4iInJf1PNqZLBA1ayTM7KxRCShJjBdc+TNgJAQv+lRbpQplUpIUv8NlbSWIqNmqLRqLFaWME0L27aiwtQ2edE0DU3R8AM/tqvnB+meSapRkMaWzCY+9KafHvnc4xVhGPLkk09y6NAhrrjiCpLJ4WWpLxZPPvkk1157Le973/v4oz/6o6PyWzQIhw4d4uSTT+Zf/uVfeN3rXtf990984hN8+9vf5vvf//5RPLsJjgVMbrWfoPh//+//8aEPfYhPf/rT/OIv/iIQlUTed9997Nixgw9+8IN4nseNN97IzMwMV1999aQ08iVCJ0L65JNP3pBI6h8UqqSyddNWtm7aih/47F/ez9z8HA8vPowu6WNtxjNaBsuzcJxVwqBKatsQHXS9J5IgkdEyYyWWJZUkB+sHgWjzmFEzUdyvXe3ZYGXUDKZvjpwSub5Lxa6QkBM03SaFRHG1XNJ3CcOAZrOBoetkszmSQpKDKwexLAtJEjGMRHTHWI3ikptOk6bTZCoxRc2pM5WYiqYadmXg5q/bTj+EDbi+w1JriYyWxfLM1bADq4ob9L+ulJKi5Y6O63UDF8uzqfo1fHzyRg5JlAaa9tNaKpLyxJCVrJ5lobXYfY2iKJLXc1EAwhrTftEojemp6Z3U+KHPUnOJpaUyoiBw9mlnock6QijETrB0WY+VI0FEhA/WXgBAVYab9hNKYqQUDKJN8jCJl+M5LHkR+diUinplkmoiSmYbQII0RY81x0NELAeRGi/wu+eSUBME+JTSETGznMFET1e0keWcISFew2G5uUJpagpJHNzJ1XSbuIGH5VsUC3lSagrbdVhcWaJlmqysrBCGIVtymzGx0HV96IY4OwZZEQWRutU7hWo6LZpOi/dcMTvyuccznnrqqZeErDzzzDPceOONvPvd7z6myMoEE4yDyYTlBEMYhnzqU5/ij//4j/nyl7/MtddeO/Bxnufxz//8z+zYsYNbb72VRqPBDTfcwMzMDNdcc82GamVfyVhYWGDv3r2cc845x2yEdBAEPF19mrn5OR5aeGgoyRinZFIWZfJ6HkVUmG/Nx7ehJ6aHFjP2Tkv89mZptKRNERUMxejztQiCgCEYLM0vIWgCespgKrkq2wrDEMuyMa1IOiYIqzGvJ+dOZslc6jtORssAq7HQOT0yiQcx8cApJYUdOD2RvlH5ZZS01XAamJ6JIRvRefmj79ZrkoYoiJh93puOaV+l6Tbxg2Bgd8t6GIqBH/hDp1gd035ajshPXGHmoGmI7wcsLS0hSRLFYgFBEJhKTLPYWiClpiLTfsdT03Po8eRnhmzgBu7Az+qqaV9EEsTVpvohEIC0nqEWE3Wc0TI9nzsBgayRRRF6/TWFZIHlmHSttJai4TRj5ZHr5WcZPR11EK0x7cdNMUJCVsrLyMgk86mhZAVWu1nWQ5Ei6ZjvB9QbTVbqK7TMFp7noWlaN7lvbTlxrutnGo5hxzuzeDq/es0vjXzu8YqnnnqKAwcOcMUVV2xIIEsHzz//PNdeey3XXXcdn//85485sjKRhE0QhwlhOcHwP//n/+RP/uRPuOOOO7j44ovHeo7v+/zrv/4rO3fu5JZbbmF5eZlrr72WmZkZ3vGOd2zoHZ5XEp5//nmefPJJLrroouMq4eT56vNd034nonatEX8UVCkqZqzb9a4kTBTEnrvyHYybeJXTc5iuSVJNIgri0GmEIinosj7QkG47NuWlMul0mnQ6zebUZvzAHxgmEIbR403TRHNVKm4Vw9DRDQNd0/omZKIgdeVTFas6Us6UUBL4od8n81mPgl5AlTUadoOGO9znIAlyVDQZQxpkQSan5wAB2xtu2pclGU3SekpCB2GtyT6pRt4m27P6ulBSagrLs3qIg+/7LC0tIcsKhUI+KhzVC5FMbd3ox5ATq0WYZpVSMn6iIyCQ0TPdQtNhSLb7eZJqsm3abww07U8lSyzGxCaLgoChJEZet7SWIq1EfTFx6VpZPfNDd8F0TPuSIHKkNviahYQsl8uk5BRyWhlJVmRRRhAFXG/0TYPp9BSu7yIis1xbodaoYVnRVFZRFAzDYHN+E01vtP9NFERUWRn4nvz/3vSzXLjlvJHPPx7RqR3YaLJy+PBh3vnOd/LmN7+ZL37xiz3E8VjClVdeyWtf+1o+97nPAdHNtNNOO41f+ZVfmZjuJ5gQlhMNtVqNZrPJli1bfqDnB0HA/fffz44dO7jllls4dOgQ73jHO5iZmeG6666bxCGPgY7++ODBg2zdupVcLne0T+kHxpHGEfYt7mP3/G6erz4/8rG6rCOJ0sBNWycuWRZlmk6TlJoaS4KWN/LUrFoPUeqspYgKdaeO5VkjE8tMy2R5eZlcNkcymewzayfbd/SjDffqJjEyzi9hO+2iStPED3q7XkRBIKNlabktvMAFBHJ6dG4Np4m5ZlOmywaCIGDGBBVIokxSWY2KTiiJqC/Dt6O7/G2+JApi5CewKyPXExDI6XlW1hRX6pLeNte7VM0aIWH0OCMbm6i1vuNlLXRZJ6Wm8AKPptNClZQeQuh5HktLS2iaRi6XRxCiaYgXeLHTs6lEiTCEIAypWKs9On2PG9NTk9YyPVHXIJBW0+3W+Uh2lFKTtFwzvgw1NcVizKRmbRdMQk2QVJLYnt0XWTxOAIAoCuiyMVLmtXatnnLMVuSHCgkpl8sQhGzZtAV3xOQ0eo3xvpukmqC11isj0I77Vqk1GyzXVjBNE9mXsEK7/XcUlVWOa9o/LX8Kv/72j4w8j+MRzz77LM8++yyXX375hv7OHjlyhOuuu44rr7ySv/qrvzpmyQpEscYf+MAH+MIXvsBrX/ta/vRP/5SvfOUrPPbYY7HFyhOc+JgQlgmGIggC5ubmuuTlmWee4ZprrmFmZoYbbriBbDZ7TKSLHEsIgoB9+/ZRrVbZtm3bCTWdKpvlaPIyP8fTlad75CpJJUkQBgNkSb0QECglSpGJfUhccgcFo0DFijGlC1HhoizK1O1631rNVpNKpUKhUMDQjdgSx07imCRIzDcWCFk9dhSX7GKaJqZp4XkuhWQBSZOQNBlpgMQirWUwZB3bc/BCN3ZyIYoSGTU9VPKktVO8fD9AkqSxCynXS9rWQhGjIABN0jlSPzy05K+73hidJhBNJsIQwjDqSrEci6WlJQwj0f7uiKZTSTUxMqYZQJP1HjO+JEhktSyCIFEza7hBNL3LGfmBscn95xZPalJqioyWpWE3qFnDzy+jpajbzdgumGGTmu57GviYjokfBrFpftOpqVgpmyzJiIKAs24iIosSaTXDwvwCdavBOaedQzkmgllXdFzfwQ9GfzbiGuuTapKckaXarLGwUsayzCh1TBDQdR1dN9B1LQr1GDJd+YU3foCLT7pg5Hkcb3juued4+umnufzyy8lkMhu27uLiItdffz0XX3wxf/u3f3tcJIT+2Z/9Wbc4cuvWrXz2s5/lyiuvPNqnNcExgAlhmWAshGHIvn37uuTl0Ucf5S1veQuzs7PccMMNFIvFVzx5cV2Xubk5fN9n69atJ3SIQd2p89DCQzy08BCH6odoea2BrexrMSw1LJogRElcnalCKRElbcV9PemKjojYjVfuypNcm4PLB6nX6hSLRXRNH7uHppSINviKqJBVswRhO0xg3WZNF3RWGhXqrTqu46CqWtf3svYupiKq3SSqpJLCCRyqAwiJIAjk9fxYQQVTiSlWrArZdvllxarih/13yKcTUyyMVVxZYrG11H6P8oi0pXfrNs7jyvjWP873PForJrl0FjEhdacpcQQS4iVeka8lhyoqWJ4d6zXJ6TkqVpUXQ2o0SSOtZfB9j6pVI+iEEQgCCSVBI4aIZvVsrEQNog4dL/ARgKpVH2jaN1QDx7NjycMwghSGIUvlJcIw5LQtp5FQDUSkkab9caY+4xRcQiSNq9sNdCUiao7rslBZ6t4ICIKALblNWILdZ9o/Eacrzz//PE899RSXXXYZ2Wx2w9Ytl8vccMMNnH322Xz5y1+eJIJOcNxjQlgmeNHolFnt3LmTXbt2MTc3x5ve9CZmZmbYvn0709PTrzjyYlkWDz74ILquc8kllxzTY/eNhuma7F3cy9zCHI8uPTrQrC2LMmktHZvGZMgGRaNIw23EGqsTShSBu36qExJSq9bwLI8zTzoTQRaQRbkdNTwaHbKyfi/bMWqLCFSsKoasY/l21zjv+z6mZWGaJo5td7X66WSajJHpCwGI7qpn8AOPql0lCIN2HPI4HSr9xZViOyZYEqSuX2htF8zI12wUWRrQBSMgkNVyKKJM3WmQlBOUreXYhLFiokh5zQSm6x/KpEmn0l1JX1JNUm6VY0MAxiE1hO3iR2uFjJpBl3Wadv/0ThFVJFGKLQfN6rk2weh/sbIoR0QxjP73fMykQxREdEWPlW+tL7gUhEheKAsKNbuB3Y5KzifyrMT0vGT0FDW70Xf6HbJCCMVSkVKy1JN+Nsi0n9aj7pnYZDkjQ9UcTRaLyQLlAYEDiiST1TOEvsBKo0Kz1aLWqOF5Xs+NgF+++udPKO/KgQMHePLJJzecrFQqFW688UZOPvlkdu7ciaqqG7b2BBMcLUwIywQ/FMIw5JlnnumSl3//93/n9a9/Pdu3b2dmZoaTTjrphCcvjUaD3bt3UyqVOO+884659JWXE67vsm9pH3MLc+xb3IfpmsiSTFJOxnasQO9d7a7uPvSpWtUeaVjHJ7F+sxsSsrKygmM7lEolVEWN0s3cxtC1OhhGVtYjraZRJKUdJlDHWWeg94MgMhlbDjjgCDa6YWAYBoqi9HW9KKLCdHIay7O6iWNDr09iagzvj8BJqciT0EkcG4aclqPm1GI9Ghktg4CAKmqYbmvoRCGjZ2g4je40yrItyuUy2WyWVHLVRJwzslStqAsno7U3ya7ZFzAQkal4ojlskpRQkqteEasWxU7HTLBkUUGRZEw3ntQ07DoZLRPFPZv1gWR9HNO+LEookjrymBktTVbLsNKqjjHR6TftB2FAeakcySiLJfLJHJXW8L/JhJogpaQQEJgfYtrvYJyyzMh3o9NyRl/X6VQJ1/eQRJmVWoVqo4ZpmuTlLB+49D1MT08zNTVFKpU6rn9bXnjhBR5//HEuu+yyDfU51mo1ZmZmyOfz3Hrrrei6vmFrTzDB0cSEsEywYQjDkAMHDrBr1y527drFv/7rv3LFFVewfft2ZmdnOe20047rH5hBWF5eZm5ujtNOO42zzjrrhHt9Pww6XS/7l/bz70f+PdanMCriWBZlclqOgCDS+vtmnwQtDEPKy2V8P2pMVyRloASts1YohFStiCCMS1ZSaiTp6h5bgKyaRZEUmk6zu+GURZmkkmTFqmBbFi0z0uqLoohhGBi6gapFXS9rSUhUqBglq1Xtak/08bgTk/Xxyt32d8/sCSVItY38cWZ3Qzbww96Y46TSkd453enR+jjkTthBPpfvaek2lLbJfoBPo2NGd3yHIAhoua3YZLq8kW9PJka/eZtTm/B8Hz8IhpJW6J8QDYIkyqiSui5AQSCjZdAklabdouWa5PRsW342GuNIrmQx8knZntMtT7Q9h9q6qUYpWWJpHUEKwihGWhAESsUSoiiSUAyasab9AkvN5ejmgZYh8AMqrV6COy4RWV8AOQiKpADhaomnEBE1TdT40YtvoiDmWFxc7AY3TE1NMT09TS6XO66+ew8ePMj+/fvZtm0b+Xx+w9ZtNBrcfPPN6LrO17/+9Uk9wQQnFCaEZYKXBGEYcvjwYW655RZ27drFd77zHS655BJmZ2eZmZnhVa961XH1AzMIR44cYd++fZx33nmcfPLJR/t0jmmEYchTlae6pv31JGK8yUF0p9/2bRJKIppwWDXcwCUIgijxCCgWiyiSQkbPxErQJEFic2oztm8PjUvuoI+sDECHHAgIzDfne/5bGEYTB8s0MS0LATgpexKmaKJpel9K0mo3iwKC0J48jf66zmgZWq7ZTizrh6FEMcGBH9B0m7EdL4qooErq0GAEiBLHslq2+5rDEFqtFiuVlW7YQQeSKEVyrZgJgSIpJJQEqqTgBT4VszLQ1B4ljPld0/0wZLQMdbvRDVHoklagaq5OtcYhKzCeTC2rZdFlA9NtUbOGR1OPT2r6iQh05IUp/CAYaNoPgoisiKLY9RqOk/glixJyO9Vs/b9n9CxCKFA16+SN7MCulN7nyIiiGOtzG3Zer54+m4+86cPd/+/7PsvLyywsLLC4GH1vTE1NMTU1RbFYPKYluYcOHeKxxx5j69atFAqFDVu31Wrxrne9C4A77rhjQ2ORJ5jgWMCEsEzwkiMMQ5aWlrrk5Vvf+hbnnXdel7ycd955xxV5CcOwm+pyySWXUCqVjvYpHXc4UDvA3Pwcc/NzeKE3lhl+UHGlIAgkpSTlhTK2YJPOpZElmfSIpK21WCtBGxSX3EFaTWMHduyGSxIk0lp07G4csWevi8+NyEtGSnNg+QCmaRGGvXHJa/8eorS0Kik1Gd3JdlsD45uTShI3cIcXPrahSGqbCHhtH43f9dGshShIpNVUrJRPaEc5r1gVFFFBsAXKy2X0rI6yRjsfxSbnYknkoHJIRZLbJaJEU7HQQxQkUmqir/ul7/WKKrIoDZXGiYJIVsuiiRo1u94NcBiGcVPS1pIaXTZIqylc36NqVrvUaxwpGIxXsgiRad8PfQgjr5XruiwuLbYLOosICOiyhhd4eDGlruOQGk3WSCoJJEGOemyGmPbHWUtXNFzfHRgm8Gtv+QinF04b+LwwDKlUKiwuLrKwsIBt2xSLRaanpyNZ6DHk3zh8+DCPPvool156KcViccPWNU2T97znPbRaLe6+++4NTRqbYIJjBRPCMsHLijCMPAa33XYbu3bt4h//8R8566yzmJmZYXZ2lgsvvPCY9oCEYcj+/fuZn59n27Ztkx+GDcCRxhHmFuZ4aOGhoV0vw4orXc9laWkJXdPJ5/MU9AK6rFOxK7Ebz5FTHQEyagZN0vBDn7pTj42aXUtW1kOTNTJqJtqw2hVKRql77BBwHQfTtDAtE9/z0XUN3TDYkttC0230ve4oDS2J5VnU7RqGnCAkjDWTy6JMQkn2EShZVMjpq4TAD/0oscyKTyxbG5tcr9ep16NktoSeIKtl22WfNbJadixi2kksGwZRFMlpWRJygoXW4miCFrZN6jEkSRZkNFmn6TbbvSFRaed6ImEoCTzfjZXRjfLKKFIUIx0GIZIox8cTj0lq1pv2wzDEXDHRFA09k+jKC8cx7SfVBKZrxXqb1kvZ0loKXTIwnVXTvqHq2K4Tv9YQydjWky/mg1e9f+RzOwjDkGaz2Z281Ot1crlcd/qyVpr4cqMzkb/00ks39CaXbdv85E/+JOVymXvuuee47v2aYIJRmBCWCY4qqtUqt99+O7t27eIf/uEfOOmkk9i+fTs333wzW7duPabIi+/77N27l0ajwWWXXTbRB78EGNT1UjSKLFvLfRHHjuuwtLREMpEkk43IhSZrXa9MWktjSAZNt9knaZpOTrPQHOyXWYuMmsH0TVRJJaEk2gSh/47+KLKyHpuSm/ADP7ozbFX6SZjrYVomkitSM2vImtL1vUhS/99DRs2SUKNzq1qDpVOwOklYsWJkcqLMpsQmHN+JfDQjNucds3sYQr1eo9FoDLyrPZWYwvW9buLYeplRB8NkT+vRMbKvLyRdP0UZ930eJvHqSPxM16LhNEir68sm+6FJGiFh7KQrbxSo2RGRExGoWoNJ8Q9i2vcDn6XFJWRZplAoRNdJz5BUUlTMSqzfJJ/IsdKqjHxMWktRd/qTyDpIqAYJOYkiqhyuHvmB1hJFgd9626+zKT018vnDYFlWd/KysrJCMpns+l7S6fTLNtmfn59n7969XHLJJUxN/WCvZRAcx+Gnf/qnOXjwIN/4xjc2VGI2wQTHGiaEZYJjBo1GgzvvvJOdO3dy5513UiqVuOmmm7j55pt5zWtec1TJi+M4zM3NEYYhW7duPaZkBicqanaNfYv7eHD+QR5ffhx/jYTFtm3K5dWoXE3WkAV5qNcioSRIKAkc30GTtLH8MmktjeVZfZtIQzFIKanuhl4WZVJqajwJ2rqpTqebRiAy2XvtY2W0LC23heVGUcmWaeI4DoqqYugGhqEjy3K346XhRCSqc/c+6o5ZbYMXEMgbBZbHStxaDT9Y9dGofYljnRjmMIRqtYLZMilNlfr6HvJ6gYq10kOkoumV3pM4tjY5bBRGPS4iqTqmZ6FICsvmCnG+n2KiRHmMyc/m1Gb8IMDxnJGdKnk9H0sKFVFFFEXsNbLDqG8miyqq1K0Glme1O2Mqsee2ltT4vs/S0iKyolDIF7qbckmUUNqelE5fkeXa1NeVYo7r4xmURNb3GCNL1ayONO0D5BLZgYllbzzrdbxn24/Gnss4cN1oGtsx7SuK0p285PP5l+z3ZWFhgYcffnjDyYrruvzcz/0cjz/+OPfee+9EmjzBCY8JYZngmESr1eIf/uEf2LlzJ3fccQfJZLKbNva6173uZTVVmqbJ7t27SaVSXHTRRce0ofNERcttsW8xikt+4PkHmC/Pk8vlSCaSGEo06YqTzEBEGOpOvRuLXLWqAycSWS1L022OjBiGiAhltSyWZ1GxKyM323HBAp1pgS7p1J0GzXU+Fd8PsCwT0zSxbRtd1cmn8viyjzwgLllq94UICMiCxHxrnjjEnWOn4wQEFluLBGFIpbKCZdlMTZX6mrQzaoaW28IbUGrZQVJJklbSOL4bGzk8KmGsd80EYtvg7/gOVbNK3wUimqCMk0RW0AssW6vkR5U0Mu12+qhIMtqAj1usWUgUWY4hBTk9jy7pNOzGyBjjtaWUvu+xuLSEqqrkc/meCcKwSY2u6KSVVBSDbTeRRAl7QMP8WhQTBcqteLlgWkv3TSTXm/bTWmrgNEdTNP7zO36DjJ6OPc6LRRAEPab9IAh6TPsb1Qi/uLjIQw89xMUXX8z09PSGrAngeR4f/vCHmZub495772XTpk0btvYEExyrmBCWCY55WJbFN77xDXbt2sVtt92Goijdycsb3vCGl7TBt1ar8eCDD7Jp0ybOPffc4yoc4ETECy+8wL7H9qGerPK8+zxPV56OJhEx5YMwWPajSApZLUsQtNvsw2CguX8QZFEmqSa7m0VFVMhokadpfZ/KuClo3alO4JJVs6hSe7KxjowJoYjoiyxUF7AsC0mK4pJ1w0BV1Z69+VRiiiWzTE7LIYkSNafW1x2zen3KjJdE1kKVNJorTZpmEyNvIMm9RN6QDYIwwPZHb34VUUGRVFpuE13SSatp3MClatZ6yKQkShiyMTBwYC0GJZFpshoFDIQBVSt6nyMzvozpjfY66XIU1zwsiaxTJKmKGuVWOVYKNnah55rPa6dPJprurE41JEFEUzRajtklK5qqksvnEdZ8CsaZhgBMp6YIgiCampnVgcZ8WZKRBAl7wGeo5/zHkPdJokjRKBKEIQ272WPav/HCa3nnedfEnvMPizAMqdVqXfJimiaFQqFLYDRN+4HWXVpa4qGHHuLCCy/cUELh+z6//Mu/zPe+9z3uu+8+TjrppA1be4IJjmVMCMsExxVc1+Xee+9l586d3Hrrrfi+z4033sjs7CxXX331hkq1Oj84Z511FqeffvqErBxFdApKn3vuObZu3drtLvACj/3l/cwtzPHwwsMDN7MCAsVEMdbwLYsy04lp3MBlxVoZSVgkUSKlDE/QkgSJjJZBFEUkQRrLR5FW01h+vwSt898iL4VJy231+GXCMMSybEwrko4JgtAtqjwldwpL5vrNsdA2lqs03IgM5Y0CFatCGGOMTigJvMDH9izKy8vdzpukmiCtZiKiYUUyubg4ZIgkcWk1PfA6KmJH3hZStSpktGyseR6gkCj0tLevhyzJ5LQsqqSx0FgYOf0RBZGUmup2zQxdU1RQJAXbs8i0PTU1s9ZHXjqyxDgyXDQKlIdMmzRJI61l8H0fWZBZbC3h+R5Li1E3SS6f6yEroiBiKHps50pGy/S8TkkUyepZRCRqVr2bkDeVKsbGGEd9KsROwtab9jN6VCIqCyq/9paPdNd5OdFsNru+l1qtRiaT6ZZVJpPJsdYol8vMzc1xwQUXsHnz5g07tyAI+NjHPsZ9993Hvffey2mnDU5Om2CCExETwjLBcQvP8/jnf/5nvvrVr3LrrbfSarW44YYb2L59O29729t+qIbfQ4cO8eijj3LBBRewZcuWDTzrCV4swjDk8ccf58iRI1x22WWk04MlIkEY8NTKU8wtRHHJFavS9YjESY0gkv10pixdb4kgdLteOpAlmYSciN3EQiQRWmotkdNzSEJnutF/Bz6lRp6YuLvzoihS1IuAMDQu2XZsTNNE8zQqzkpEXnQDXdcGku5Nyc1ASNNtjpxeaLKOKIg0nSblcpkwDCkVi33af13Syel5nMCh0p5mDETY9kuM4avZlNyE63sICG2vz+AN/7iSrM7jOoljoiBRs/sJxriTsYJRHOAPErqJY027ieVZpNRkbAyzJmkEhD2loYOQM/I07QYJKcHhw4fxpYBUNt1DVgCmUlMsxiSRCUKUPNewBxPMKGo6g6EkqJo1WjHkZypZZDGmCFOVVELCgaTmZ1/z01x28taRz385YNs2i4uLLC4uUi6XSSQSXdN+JpMZ+Pe0vLzMnj17OP/88zf0tyMIAn7913+du+66i3vvvZczzzxzw9aeYILjARPCMsEJAd/3+dd//Vd27NjBLbfcQqVS4Z3vfCezs7O84x3vGDvOcu2d/EsvvXSSunKUEQQB+/bto1qtcvnll7+oZLbnqs/xyOIj/PuRf4/dxBYTRZbN/iQyoCeJynItBFEYmBS2HgM3zwKrUq/2dGOcQkpop3zpvVMGTdZIK2m8wO9JCJtqp3c5jhMVVZomfhCgazqGoaPrOqIo9hVNJpQESbW/O6Zj7q9ZVZbKZQRBoFgsIq7bsK0396/10VTtWk+h5bhkYP3jBERyehZZkKnZ9a40aVyz+LDHdXt4JIWG3SChJscy449TIgmwJbUFL/CxXJO6PZwYjmPalyUFWZBpWHUWl5YwdJ1CrkDWaBNjs47jO2T0NHWrMTQ5roPpVImFmJ4UAUhpKep2g7SWiiZ+jtX3WtJ627cSs7NYP13p4KzimfyHN/3K6CcfBXieR7lcZmFhoVvE2Zm8FAoFRFFkZWWFBx98kPPOO29DpVpBEPBbv/Vb7Nq1i/vuu4+zzz57w9aeYILjBRPCMsEJhyAI+Pd///cueTly5Ahvf/vbmZ2d5dprrx16h95xHO677z50XWfbtm1DHzfBywPf95mbm8NxHLZt2/YDa8kBDjcOs2d+D3PzcxysH+z5b6PIylqoUrRpFxDQJI2m2xza9bI2aWsUphJTiIJIw2mMlE+NMylSJCUiQ6LGkdaRbkIYRHtHz3UxTRPTtPA8l3wij6TLyJqMNCAhSZP1doO6TwiUW2WWFpeQZIlioTDw7vIof4YgRNMMSZSRGC8EoKAXWFmXMLZuVbJaBkNO0LQbUTTuCKTVFC3P7EmcG4SMFkXeqqKK6VlDJ08ZLUPdbhAyWkoXmfZX3ztDNkgqKTy/N/hh3AlRKVHicO0IS4tLJBIGmWyW9dQxp2cx5ARVs0prRCBFSk3Scs3YnpRhpn1DMUipKVzPpWbVSKqpWEI/jNQIgsCvv/njnJo7ZeTzjzaCIGBlZaUrHfM8j2w2y8rKCueccw6nn376hh0rDEP+63/9r/zt3/4t9913H+eee+6GrT3BBMcTJoRlghMaQRCwZ8+eLnl59tlnedvb3sbMzAzXX3892Ww2kv3UarzrXe/CNE2+8Y1v/FBysgl+eDiOw549exBFkUsvvXRDgxUWW4vMzc8xtzBH02myaC7G3g0eFpucUlMk5AQtb7V9ftxNZ1pNY/t2V4YUTTeSfV0vgiBEJY5jyNpKiajEURIkslrkZaha1Z7JBoAqaNSbdarNKq7joKpq17Qvr0nBEwWRjBZF07aWWyiqgppRBm5up5LTLI7h1Skmiiy3VsjoaVRxOPHLqOlo+jPCYwLR5t8PfRzfIaWkMBQD27X7pFeqpCKJIuaQDpgOFEmJzPhrNvkJNRGZ3tckjqmShigIsYEPhtxONhvSZ6OIKlk9gxTKLJll/Bh/SylR5HB1nqWlRRLtDqJB7rq1n8OUmsKQE9ieRc1aJV8CEXmoWaMJRkJJYPvWwBb6tdiUmsbrdAy1qkNJUGbIMd9wxuv4ia0/NvIYxxrCMOxKiFVVxXGcHtP+D/NbEoYhf/iHf8gXv/hF7r33Xi688MINPPMJJji+MCEsE7xiEIYh+/btY8eOHezatYv9+/fzlre8hTe/+c381V/9FclkkltvvXVDs/InePGwLIvdu3eTTCZf8hjpilWJiioX5nhy+cmBGyxd0RERh05TOkgoCQp6gapTjb/DPKTjpXtMWY+il30PURTHIytGiSVraeBd6yghTKZm1ZAEiZAQq92p4vs+phX1vTi2jawoJNq+l+nMJhbq8ywuLaFrOrl8rpuKJQirZGhceVdOz1OzawTrYoRTapqEbGB6FnWnPnbCmCwoaLJG0+2fgBhypy/HpWHXSWmp2KQsAYGskaWypjF+PTRZJaNGEsEjjSMj5VbjmvYlUUaT1EjG1ZHQmbU+otmRYR2eP0QimYx8FAPWi/pbqgxi4oZskFSTeL6PJqnMx/hbovWy7fWGQ5d1vMDtJotJokRWyyAgUltTijlsUpNQE/znt/0mSXU8Y/uxgmq1yu7duzn77LM59dRTabVa3clLtVolnU73mPbHDW8Jw5A/+ZM/4bOf/Szf/OY3ufTSS1/iVzLBBMc2JoTlBMEdd9zB7/3e7/HQQw+h6zpvfvObufXWW4/2aR2z6Bi5v/CFL/D5z38e13V585vfzM0338xNN93E9PT0JBXsKKDZbLJ7926KxSLnn3/+y/oeNJ1ml7zsL+/HCzwSaoIwCPsa1Adh7R1tXV4Tz7uu6yWjZjB9MzZBqTNZqTv1vujl9SgaRZateFlbJEVKtl9vqy/S1w8CLMvCbJlovkYzbOD7Abqht0sI15+jyJbUFlzfoTokLrmDtLoa2TwKaTVDUk3Qck1qVm1gfwp0jODZsYoVpxPTBGFIEPpUzArBkOs0Tqt89LjovVakiLyFYUjVqvVNg8YlckWjP3yg69UR5W5Kly7qPPXC06RSEVkZBFmMJkRWzGc2raZxApe0mo4+W1aVYMAEZZx4YoBCIs9ya7D3pmPaV2UV0+73vQD8xNYf4w1nvC72OMcSarUaDzzwQDdJcj0cx2FpaYmFhQXK5TKapjE9Pc309HR3uj8IYRjy2c9+lk9/+tPcc889XHHFFS/1S5lggmMeE8JyAmDnzp186EMf4lOf+hRvfetb8TyPvXv38uM//uNH+9SOaXz/+9/nxhtv5Gd+5mf4hV/4BW655RZ27drFAw88wOte9zpmZmbYvn07J5100oS8vAyoVqs8+OCDnHLKKbzqVa86qtfc8iz2Le5j39I+Hlp4KLZzYtTGtOMtCcKAgICm24wlK8M8K7Iok9WzEK52vYztwZFVFFHp6SeJmuENWm6rx6dRSkxxcOUgS+UlZEnC831EMep6MXQdVdMQ6BCllXYccn9ccgeGYhCEYU+z+8DXLUqk1VS320aTtag/JfCp2r0So3HN7tPtAIKea9ieYqyYla6fZdyN+TDTviSKZLUcoiBStWtktMxYpv3xSI1AUS1y4ODzqAkN2RhebFhKFNt9OsMhCiJJNdkzCZQEiayeRRBEamY0ETEUHdd3B/axvNhjApSSBZaay13TftMxadpNziiczq++6SPH1fdsvV7ngQce4IwzzuCMM86Ifbzv+5TL5W7qGMDU1BS1Wo2LL76YVCoFRGTlz//8z/nkJz/J3XffzVVXXfVSvowJJjhuMCEsxzk8z+OMM87gd3/3d/ngBz94tE/nuMHXvvY13ve+9/GpT32Kj3zkI91/D8OQAwcOsHPnTnbt2sW//uu/8prXvIaZmRlmZmY47bTTjqsf1eMFnd6CV73qVRtqWN0IuL7Lo+VH2TO/h72Le/tKHMfdOGe1LI7vkFASINCWU/X7FcaNYpYEic2pzVF8sFkZOblQJRVF6iUr65FUkyTkJIog80z5WcrlJdKZDOlUKopLti1M08K0otc/nZkmkH0UVe2bvEC7O0YxsD0HN3BiJXXrE8bWQxGjks8QkAV5LNN+ySiyNCI2WRQikmHIBsvmMlaMvyWjpWm6zVgvR1pLIwsysiRTt+tDfS4ZLU3DacYa3g0hwVMHnySdTpNOp0kqqchX4lo9Xp1xP4txPisBgYyWJakmWW4tY7nDCbsiKQiCEJtylzdyrAyQ2qXUJL/yul/k5OzxU4DYISunn376DxQvHAQBlUqFxcVFfvZnf5b9+/dz1VVXcf311+M4Dn/0R3/EnXfeyRvf+MaX4OwnmOD4xISwHOf4t3/7N6688kr+8i//ks9+9rMcOXKErVu38ulPf5qLLrroaJ/eMYk///M/59d+7df40pe+xLve9a6hj+uYKTuTl3/6p3/i0ksvZXZ2lpmZGc4666wJedkAHDlyhH379h0XnTd+4PP48uPdokpVVFkyxyMrTbfZQ1A6d7RFQaRqVXEDd2B08TCslYGtjV6uO/WeiZAiKWiSFtsQD9FG9sDyARrLDU6eOgUjqfdJ2kJAD3WW6os0Wk2CIMDQdQzDQNP1nqhjWVQwZB0/9AfGJa/F+A3wU6yYy2T1XM+1W4+slqXu1GPJQEJO4AYubuCR07IookLDafYRU1VSEQUx1mQ/yLSf0aJCxJZr0mj7bRRRjR7njSZy+AKLCwvoKYN0OtX3n3XZIK2kIISKVcMNYvpbRvhb1mItqcloGTRJw3Stvq6WztRkFGRRQpHUvmsKcM3ZVzN7wfaRzz+W0Gg0uP/++znttNM466yzfuj1giDg/vvvZ8eOHezYsYP5+Xm2bdvGz/zMzzAzM3PM3cCZYIKjhQlhOc7x93//97z3ve/ltNNO47//9//OGWecwZ/8yZ9wzz338Pjjj096RNahUqnw+te/nr/4i7/gDW94w9jPC8OQxcXFLnm59957Of/887vk5dxzz52Qlx8ABw4c4IknnuCSSy6hVCod7dN5UQjDkKcqTzE3P8dDCw8NnYjk9Bx1pz4ySlcQBPJaHkMxWGwtxhZIjvSsrOl6sT2bUAjH6o2ZTk7zXPk5lpeXyefy3e4iVVLJaG1ZllUlpaa63S0h4Lbjki3TxPN8dF1DNwxSRoqM3t9iv+rv8brdMVOJaRbHiIEuGAVWrEpbgta5diJZLYMiqtSdaJoRJXq5sZt3RVRQJXVgpHRaXZXLtbyoL6c2hmk/Z2QHThI6SKgJknICSVQ4Uj881KMDYNsOdsVCTIpdydAgdMz9pmuR1TIEYdj2pPR+5mRRQZHkgcSh5xyVBLZvD/zMJpUkhpLA8RxkQWZ5DHI9lSqxOKDnpZDI89tX/waqrMaucSyg2Wxy//33d2WrG4UwDPnyl7/MRz/6Uf78z/+cSqXCrbfeyre//W0uuugiZmdnmZ2d5ZJLLpn8zkzwisWEsByj+M3f/E3+6I/+aORjHn30UXbv3s373vc+vvCFL/ALv/ALQNTOe8opp/D7v//7fPjDH345Tve4gu/7P1TyVBiGrKyscNttt7Fz506+8Y1v8KpXvYrt27dz8803c8EFF/S1f0/QizAMefrppzlw4ABbt24ll8sd7VP6ofF89XnmFubYM7+HhXa8b97IU7Nq+OFoD4AkSKS1dGQgH1AuuRbjelYUUUFXdMIwjNKlPHPolGUqOcWzi89SqVQoFAoY+uCCzqwWnVcQBF0PzVq4rodlRV0vWqDiyG7X9zLob06RVDYlpml5ZhQoMILUZbQsTacRcy0FinoBVdaoWTWa3uhum4yaoWJXRqwXYXNyM37oY3vOSNIybqR153G6rEXkLfSpmpWeSZZt23hVD5KQTI5Ozhrkg4mirbMIgkTVjNLcxinXFBBIa5mhk7AOFEnFkHU0ScMLojCDQR/JjJYZmpL2i1f9AhdMnzfyOMcKOmTl5JNP3nCP3c6dO/nFX/xFvvKVr3D99dd3/315eZk777yTW2+9lbvvvptSqcTf/d3f8frXv37Djj3BBMcLJoTlGMXi4iLl8ugflrPOOovvfve7vPWtb+Wf/umfevSuV155JW9729v4gz/4g5f6VF/xqFar3H777ezcuZN/+Id/4JRTTmFmZobZ2VkuvfTSCXlZhzAMeeyxx1hcXOSyyy4beef4eMXhxmEeXniYPfN7OFA7MPKxsiiTUlND067SHTmR18KQDcpmeWyysn6yklCiPhHbt7ubyKnEFM8sPkO1WqVYLKJrg3sjkkoSL/S6crOuSRuR2hopUseLstBYwDLNKC7ZcVBUFUM3MAwdWY5M42tlYLIotyN9oWr3Rvqm1BS27+DGTJ5kUSahJLqvLalGXg/LjeKS16JklMaS86037WtSRDK8wI8mRO23Yuw0LaNdIrnuLVSktkcnDDhSmcesmEgpmWQyMXK9olGgHON3EhA4KXUStu/QsBsjZW3TySkWxiBdhUSR5TXkRxEVsnqGMBTaBMlHFEQMRafp9MveXnPq5bx/2/tij3MsoNVqcf/997N582bOOeecDSUrX/va1/jgBz/I3/3d3zEzMzP0cZZl8c1vfpPXvva1k+j9CV6RmBCW4xy1Wo3p6Wk+//nPd033rutyyimn8MlPfrI7dZng5UG9XufOO+9k586d3HXXXZRKpe7k5YorrnjFk5cgCNi7dy/1ep3LLrsMwxh8J/9EwlJribmFOebm53i2+mwP2ZBEiZSS6pNNDUIxUcT2bHRZx/GdoXeth5GV9dBlnaJR5NDSIQ6WD1IsFdFUbeBjE2qCIAiGbnQ7HhpFUBAEkYVmryHeD4IuebFtG1lW2JLbjCM6SIrcp4oS29MBSZSwPQs38GJjeqO+mTwr1uDNu6Ek2r0sDoqosmSOGze8zDC/RycIQBJklltl3JjSx5SaxPJtPH/44yzbwlxpsXl6C+lUmuoIX0pcKeXqcVOYrtmeTgmrnhSnd+qW1bLUnFosIY4z93e8WEklxUJjsc+Qn9bS/PZbPnFcdK6Ypsn999/P9PQ0r371qzeUrNx11128//3v50tf+hI/9mPHV2HmBBO83JgQlhMAH//4x9mxYwd/+Zd/yemnn86nP/1pbr/9dh577DHy+fzRPr1XLFqtFnfffTe7du3i61//Oul0mu3btzM7O8tVV131khYiHovwPI+5uTk8z2Pbtm2o6vGhW99IVO0qc/NzzC3M8VzlOTRZiy0VhHaUrlnu2Td3CgBd3+0SnnHJCkSbzqeOPEWz2eSk6ZMopUsDu14MxSAMw1izeWfNJXOJjBptiJtOf4t9EARooc58dR7TMpHaccm6YaCqag95USWt3VAvoXbM8ENM6uMmZJUSU9TascOD4pI7yGgZmk4zVs5nyAZ+6OMHPhkti4gYyeXWkRJZlFFlldaAaUMHlmVRWV5hy9RJhEr0ZnfJoChTd1anI5FvJdmTEjYIoiCRUIyhcsCOJ8XzPCzPjiWGejtEIS6aO6Nnu/K5jpSwYTcwXYsPvuZn2LrlkpHPPxbQIStTU1Mb7lP85je/yXvf+17+4i/+gve+970btu4EE5yomBCWEwCu6/Kf/tN/4m/+5m8wTZMrr7ySP/3TP+XCCy882qc2QRuWZfGP//iP7Nq1i9tuuw1N07jpppuYnZ3lDW94A4qiHO1TfEnhOA4PPvggsixz6aWXdiVBr2S0nBYPLT7E3Pwcj5UfGxhxDKskYFSokyqr5PU8AgLzzfmx7pA/eehJTMukVCqhyKufv05PCYDt2fj4sSZtGO7fSKkpEnKi2/WS1XI0nDp+6EdEyLIxrci0LwgCumFgGAZJPUFSTfYRurSWwZD0aL124tYPY9qXRYWslgGEKGo69EgoCbzAiw0/kAQZQ9H7yICAQFbLoYgyNTsqfcwZuZHpb6Zlsry8zKs2n4UlDo8RzmhpNFlHEWQONQ7HvuZxiVzRKNJ0m5Gnxu/31HQQpYxVRq4lCRKaotMaEKN91alX8b5LfyL2fI42LMvi/vvvp1gsct55520oWfnOd77Du9/9bv7sz/6M97///RMj/QQTjIEJYZlggpcZjuNw7733snPnTm699VbCMOSGG27g5ptv5s1vfvMJN3kwTZPdu3eTTqe56KKLXvGyuEGwPItHlh5hz/weHll6pOsTmUpMsWguxiXQokpqdAfbabS9BFH7esWq9E0ISokSTxx8Atu2KU2VkKXB5FGXdWRRRhEVRLHjUxl8V33cRvepxBSCIGB7drccsoMwBNuxI8+LaaNLBr7iY+gGuq4N3NQllCQFo0DNrsWaxNNahpbbwh8h2xIFiaJRRBIkymZ5pNRKQCCnD5egrX3kluRmvMCn5TRpDuij6ZCVs086G5N4clhKFllqlqPuHCWB5dnUrVpf4lgxURqrvHJQpLQiKmS0TBSXbFbxQ5+p5DSLzXhiOOzzkNbS/Pabf/OYl4J1yEqhUOD888/fUELx3e9+l3e96138yZ/8CT//8z8/ISsTTDAmJoRlggmOIjzP45/+6Z/46le/yq233oppmtxwww3Mzs7y1re+FV0fbIA+XtBoNNi9ezdTU1MbfpfyREWnqHJ/eT/3H74/tnBRlVVUUR0o+ZHETlKUQNWuktNy7H9hP57rUSqVhsoSNVlDEqSeY69KkxRqTq2XVI1BVtJqGsu3ulIiTdbIqBlc36NqV7pToY4X5UjtSNf34vsBuq5jGDq6rndJ79qN9qC45A6SShI3cGMnJqIokVZTVK1qNy5ZFhUaTr9Rfcpok8kYrDf3R6WPBrZrU7PrmGaL5ZUVztx8Jq7kxk7HMlqahhv136yFLuuktVR0Pa0qSSWJ6ZmxkraUmsZ0WyMfJwkS08lpPN+jYo7ueskbBVaGhAD8wmt+nos3Hdv9YLZtc//995PL5bjgggs29Dvr+9//PrOzs3zqU5/il37plybfhwxO7ex0S00wwVpMCMsEExwj8H2ff/mXf2HHjh3ceuutVCoVrr32WmZnZ3n729/e7cU4XlCpVHjwwQe7BWuTH6AXjyAMeHz5cfbM7+GhhYf6vCmapCGL8sAekfWYSkxx8PBBwiAkWYgSvwZhEFnpgwAZNUNGzbBsL4/0ZUAkC3MCZ2gbuiIpZNUsQRAgiVIPAQoBr931YpoWnueiaRpbsidhSzai2P+5UiSVjJohJIjkbIKAGUP8AApGkWVzcDpjZFSPpGgJJTEWSctpOap2jZDB5ZWhHdKqNJmamsYV483zqqwiEl9eaSg6GTWLG7hRH8sQMiILMpqsxX5+JFFGlVRMtxXJ3fQoYKG+LnFMlTQEgZ7i0g5ef9rreO8l7xl5nKMN27Z54IEHyGQyXHjhhRv6nbV7925uuukm/st/+S987GMfm3wfEt2w68iD//iP/7j7m/cjP/IjE9IyQR8mhGWCCY5BBEHAv/3bv3XJy5EjR3jHO97B7Ows73znO0mn00f7FEdiaWmJhx56iHPOOYdTTz31aJ/OCYEwDHm68nQ3cazlthAFMXYCA5E/4bEDj0EIxWIRURLJaTlkUe6ZHmiShizJNAd4D9ZjOjHNQts3kmrHB5uu2RcfnFASBOHwhLG1KCVKrFgr0VSIqMXeW7eJ9zwPxVdZrC1gOzaqqnZ9L/K6O7WyqJBUk0iChCgIrFiVoZKwcSdFxUQRy7UjKZZvDQ04iMornaEkpNVqsbJSYfPUJjLJDG7gklGzBGHUaRKs+2kWhMi8XrHiE+UKiQLLrWjKIYmr8dPrr+e40c6lRJGlIf0tGTWDLuu0HBNVUgcWqJYSJX7zR34dTR6cQncswHEcHnjgAVKpFBdddNGGbpbn5ua44YYb+I3f+A0+8YlPTDbiQLlcplgsAvAzP/MzmKbJG9/4Rv7X//pffO5zn+Oaa645ymc4wbGGCWGZYIJjHEEQ8OCDD7Jz50527drFc889x9ve9jZmZ2e5/vrryWQyx9QP4OHDh3nkkUe48MIL2bx589E+nRMWB6oH2LOwp6eochAKeoHHnn8MQRQoFUsDPytpLU1CTuAG7sAN53qMKkhc2/Xi+i4h4yWMDVpTFMR2vLFMzarh+DYZLUvLbeIFHr7vY1pW5HuxbWRFaRdVGmiqFsm71nhbxHZ3jCRI1OxoPYDp5PTIa9hBVs/RsOs98ildNkipKTzfo2pXCQmjZDNBwhySuNVsNqlUqpSKRTbnNrGyzsTeCT4QEFgxK/iBz1SyxOIYPS+j3htBEMjpWWRRQURkfl389CAM8rcMPG5iqj19SrblblFYgiiI/IfXf4wz8qfHrnG00CEryWRyw312+/bt47rrruNjH/sYv/M7v3NMfVcfLXzxi1/sJmh+9atf5S//8i+56667APi7v/s7vvSlL3HHHXcgSdLkek3QxYSwTDDBcYQwDNm7dy87duxg165dPP7447z1rW9lZmaGG264gUKhcFS/4J9//nmefPJJLr300u7dswleehxuHO5OXl6ovdD994JW4NEDjyJLMoViAaGv8STCWhlYUk2SlJOYvjlwejDuJEJvt6CrkoobuFSt6sDUqbHXFGCTsQkEqFn1vnjjIAgwLQvLNLEth6yWxVM8DENHWReX3Fkwp2dJySnK9nKsZCypJHECd2R5pSqp3T6aI635gXHJzUaTSjUiK6fkT2YxZsIhCiJbkpuxfaebODYMeSPPirUSG9KQ0TI0nDopNY0mabTc1kBZ2Dj+Foj8SU232fN6dVknraR53alX8faz3zb6hI4iXNflgQcewDAMLr744g0lK4899hjXXXcdH/rQh/jkJz852Xy38au/+qscPnyY//f//h/Ly8vMz89z/vnn4zgOBw4c4Od//ue58847XxE9XROMjwlhmWCC4xRhGLJ//3527tzJzp072bt3L29605uYnZ3lpptuYmpq6mX7gQzDkKeeeooXXniBbdu2kc1mX5bjTtCPTlHl/oX93PfYfSiKQr6QH0pWdFkfKi0zFIOUksL2ozvm45KVQT6YTpP7+q6XcacbSSWJG7rdDXun/LDl9G+2C3qBgysHMU0Ty7IQRBFD1zEMA1WNfBYQSeWWrRXCMCCjtaVN7fjl3tcTXaMX44OR26WSEFKxavihR6PRoFqtUSoVOSV/yovwwXTInkCuHXzQcJo9cdMJxcANvNh+lGE+mE7imO1Z1Ow6kii3ycxoeeAoH8zZhbP56JW/csxu1F3XZffu3WiaxiWXXLKhZOWJJ57guuuu46d+6qf4b//tv03SEdfgs5/9LN/+9rfZuXMnYRji+35P1P3111/PnXfeie/7fP3rX+f6668/4aP/J4jHhLBMMMEJgA5h6MjGdu/ezete9zpmZ2fZvn07W7Zseck2DWEY8uijj1Iul7nssstIJo/tyNJXAprNJrt370bP6rSyUd/Lk8tP9t3xH0VW1mNzajN+4MdOS8bxwciiTFbPoks68835oR00HcSVVyaVZCRF8iw0WeuRRIUh2LaFaVpYlkkIGLrO5uxmHNEdaIhPqkkMOYHt21iehSZpNJz4Ms5hhE4UJARboFqpkiwkKaaLLJsrxI1CIpmeNzSVK62m0SUdy3MIQj/WexQZ5jOxPhhDMSjqeepOk5pdG/pew/Cel4SS5D+96RPk9NzIYx0teJ7H7t27URSFSy+9dEMJxTPPPMO1117Lj/7oj/I//sf/mJAVYOfOnZxxxhmceeaZ3HPPPXzmM5/he9/7Xo/sy/MimefNN9/MZz7zGX7jN36Dc889l8985jNH+ewnOBYwISwTTHCCIQxDnn/+eXbu3Mktt9zC9773PV7zmtcwMzPDzMwMp5566oaRF9/32bt3L81mk8suu+y4j2E+EVCv19m9ezdbtmzhnHPO6b7XTafJw4sPd4sqFVEBgfFKIddtxIdNS1RZRRGVsUz7nTVFQSSn5xCFyBS+3qSuyzqCIIx9ng2nEaWS+S7Vdd6QEHBsB9ETqTRWcHy3HZdsRHHJ6/4uRFGioBeAEC/w++KSR12jtajXG9TrNUqlEqX0FKIgtqckjaE+F1lQUGU1dsJBGEUJ275NUklge063Yb7vHEf4W4Y9TpGiXh8/CKiuSxwbRlYEBD50+bEbYdwhK50i22Hx3j8Inn/+ea699lquu+46Pv/5z0/ICnDw4EFmZmZ45plnSKfTnHzyybiuyx133EEymexLwLz55pt5/PHHmZmZ4VOf+tRROusJjjVMCMsEE5zACMOQQ4cOsWvXLnbt2sU///M/s3XrVmZnZ5mZmeHMM8/8gcmL53ns2bOHIAjYunXrCVd4eTyiWq12o6RHvbeWZ/Fo+VEePPJgT1HlIMRtcjvTEiEUcAKnr5n+xazZ6XqRRTlKGwujlKtxJkCDpGWqpJLRMviB395sB20y42D7Dm47LtkyTTzPR9O1qKjS0JFFibxR6Ik5jtZrJ3lZq0QtStsqM2hiUq/XqTcalEolskaWAL/nendTtlyThhtJ0TrRwXGN8jCYKGlSu+Om00kTQilZYmkM037OyEUTtAFbA1mUyLR7fTzfo+E0Bvpb3nLm1fzo+TfHHutowPd9du/ejSiKbN26dUPJyqFDh7j22mu5+uqr+eIXvzghK210Iop3797NM888w//5P/+Hu+++myuuuIJsNsvs7CynnHIKMzMzAHzwgx/ENE3+7u/+Dhjc1TLBKw8TwjLBBK8QhGHIwsICt956Kzt37uS+++7jggsuYGZmhtnZWV796lePTV5s2+bBBx9EVdUNv0M5wQ+G5eVl5ubmOOusszj99PETmTpFlXvm97B3cW/PJGPcO/KdyYrlWmT17NBpCYxv2tckjZSWQkSk6TZHkpZx1pRFmanEFH4QsGyW+2Rorud1iypd12VTahOWZGEYxsDPd8ejokoKS63yQNlWrV6n0WgwVSqR0JKokkrT7S/47CDZjodWkDnUONzXXL8e48QSK6LCVGIa27eptFbwBwQBdKArOkEQxBZsypKMLmkoktpOcKt2n3NG7gw+ftVHkcRj7zvB930efPBBALZt27ah31tHjhzhuuuu48orr+Sv/uqvJt+JI3D//ffz8Y9/nPe85z0cOHCAv/7rv+aqq67iq1/9Kpqmsbi4yNTUFDAhKxOsYkJYJpjgFYgwDFleXua2225j586dfPOb3+Tss89m+/bt3HzzzZx//vlD7w4++eSTHDhwgFKpxIUXXji5i3gMoNN7c+6553LyySf/wOusLap8ofYCz1Wfi33OMBlYZ1qiiAo1u4bt25GEyFyKTbFSRAVd0XtSytJaGkM2+rpeXgwB6kxrJGFNN4ldxVtnVM+reQ4sH8A0LRzHRlFVDF1HNwyUNebgjJah5bYIwrAdvyxRtao4gUO9VqPRbDJVKqFpOmmlN2J5GDqTIl02SKtpXN9dY7pfRVwp5drXDWD7dvt15xBCof26V0mbKIqklNRYE7K1PS8ACJDVMmS0LB+67IPkjXzsGi83fN/vToQvu+yyDd0ELy4ucv3113PJJZfwN3/zNz0G8gn68S//8i/86I/+KHv37qVUKrGwsEAul+ub0k/KIydYiwlhmWCCVzjCMKRarXL77bezc+dO7rnnnu54/uabb+5Jz/n+97/Pu971Lv7Df/gP/Oqv/urkx+QYwPz8PHv37t3w3pswDHmq8hRz83M8tPDQwH6WsT0rApyUOgnXd2m4jZF+FFmSSciJkRvnTteLIikcrB8cmoDWgSIqaLLWl/4F7W4SLYckytStOhk9w+IaaZkfBFimhWmZ2JaFLCvohk4pXUSQhb5phIBAYAaYDZNUKU0oBH3SsmEoGiXKAyYmSjsuOQgDKlYFQzKiiOUhZvwOREEipSSpOf3XUkAgp+eQBZmaXSetpoaWQ67FKDnfL73mFzmvdG7sGi83fN9nbm4O3/fZtm3bhhKKcrnMDTfcwDnnnMPf//3fT9KsxsDi4iKvf/3r+da3vtVTLBwEweQG2ARDMSEsE0wwQQ/q9Tp33HEHO3fu5O6776ZUKjEzM8OWLVv45Cc/yQc/+EH+4A/+YPLDcgzg0KFDPPbYY1x88cVdCcVLheerzzO3MNctqhwnDayD9ZOVzrSk6TZ7nj8OWemuaZRYspbQJT0qbgy8gellkiiRVJLjeWsSUzi+E0m3nH4ZWhCGWJZFYPlYtoWHh24Y7bjk6O5wrVql1TIpTZVQZCVKVwt9Wk5zYPRvBzk9H01SRki2AAzZIK1lCAKfil3raa7vQQjFRJHyGERpOjGN5Vtoot4+z8Hyu7yRi0ouB+wabnj1dVx79rWxx3q5EQQBc3NzuK7LZZddtqFkpVKpcOONN3LKKaewY8eOY87H9+yzz/LJT36Sb33rWxw5coSTTjqJn/qpn+K3f/u3j+q5ep7HGWecwY4dO7jqqquO2nlMcHxhMrec4BUF27a58sormZub48EHH2Tr1q1H+5SOOaTTaX7iJ36Cn/iJn6DZbHL33Xfz2c9+lv/5P/8n2WwW3/f53ve+x5VXXjnRFh9FHDhwgCeeeIKtW7dSKBRe8uOdlj2N07KncdM5N3G4cZh9i/t44MgDsYRlkAysbte7cq8oQtjA8R0EhLFkU0WjSNkqQxgFCHTijjvpZX7gU7WriIJIUkmOtWbJKLFoLvacZ4dYdbpZREEgm8yiZlUadh3LtrFMk3K5jECUKuYHPlOlKRRZZjoxxZHG4e56HY+KtU7WllbTNJxGLFkRRQlVUlloN9SLgkRezyOJEjW71jPtmUqOJ5XL63kWW4ttoheRuqSWIqEY7cb66DwTikHDaQ4kKxdvuoh3vuqdscd6udEhK47jbDhZqdVqzM7OMj09zVe+8pVjjqxAVFwZBAFf+MIXOPvss9m7dy8f+tCHaDabRy0quJNiefLJJ3PuucfeNG6CYxeTCcsEryh87GMf44knnuCuu+6aEJYx8dd//df8yq/8Cn/xF39BMplk165dfO1rX0PXdW666SZmZ2d5wxveMNFtv4x45plnePbZZ9m2bRu5XO6onkunqHLP/B6eqz7Xky41rmdFEiVSSpTeldJSOJ4zlGQUjAIr1srAFKu1UGWVglaIemPs6siul3HWTCgJUkoaQYD5xnzPf+t4wizbRhQEwjBkS+YkLMlC17WB0klDSZBSkgRhSNNtYg2JN+49z+IIaVmULKaKUTHkfGt+yONW0SkFHRSO0D3PtpdGQGC+0V/wOZ2c4tde/x8xlGOrlTwIAh5++GFM0+Tyyy/fUKlWo9Hg5ptvRtd1vv71rx9Xjeyf/vSn+V//63/x9NNPH9XzME0TwzAmpvoJxsZkhzHBKwZ33XUX99xzDzt37uSuu+462qdzXODTn/40v//7v8/tt9/OW97yFgC2b9+O4zjce++97Nixgw984AMA3HDDDdx88838yI/8yDF5t/FEQBiGPPnkkxw6dIgrrriCdDp9tE+JUqLENWdcwzVnXEPVrjI3P8fcwhwVq8JCayGWrMii3DMF6fSSqLJKRo0iiSt2hTAMKRgFKlYllqx0JitHmkcAkASJglEYmF6W03NjrWn5FqqkUrEq6IreNsR7VKwKlUolShbbtAlJkkiLKQ6uHMJstFheDtpdL3rU9dKWUppuCy/wUCWFIAwoJabwA4+qXe0r+ASYSk73eGv6EVK1KuT0PDW7Fk2HpN645LVQRIWAYCRZic7TxJANlq1lVEUlo2aj87SqKJLKz1/+88ckWdm7dy+tVmvDyUqr1eLd7343sixz2223HVdkBaLo85djIhuHznWbkJUJxsVkwjLBKwLz8/Ncfvnl3HrrrZRKJc4888zJhGUEwjDkE5/4BF/60pe4++67ueyyy4Y+1vM8vvOd7/DVr36V2267DcuyuOGGG5idneUtb3nLpExygxCGIfv372dhYYHLL7+cZDJ5tE9pJJpOk4cWHmJuYY795f0DJxzrycowKJLCtBH5LCpWZWD3RweCIJDX8wNDAjr/vZNeFoRR8aUfDF8PIoN63uhfMySkUW0gezLTmzbR9Btk1SyVthclBDzXw7SiuGTPddE0DcMwSCVSpPUMtXWvXWnHJYdCSNWKJkPjJqEllWRkxl8XBJBQkiSVJLZvU7NqiKJIRs1QsSuxaw47tizKfHDrz3PR9AWxa7yc6JCVZrPJ5ZdfvqE3T0zT5D3veQ+maXLXXXeRyWQ2bO2XA08++SSXX345n/nMZ/jQhz50tE9nggleFCaEZYITHmEYcv311/OGN7yB3/md3+HZZ5+dEJYY3HPPPXz4wx/mnnvu4Zxzzhn7eb7v893vfpcdO3Zw6623Uq1Wue6665idneVtb3tbX6PxBOMhCAIeeeQRKpUKl19++XF3V9fyLPYt7mPP/B4eLT+K7dkRWVGTVK14f0neyFOzavihjyRKZLVs5HdxeqN5BQTyiXxv5O4QpLU0lmuRUBLtfpThXS+DGt1DQlZWVnAch6nSFJIkUdALkfwrhIpdxV9H0jzPwzQtbMtC8VUcye6a9uUBd5olQWJTcjNO4LQnQ8NTwVRZQxIkzJiSTV3WKRlTNJzGwLjkntdtFNuFmP244ZwbuPYY862EYci+ffuo1WpcccUVG0pWbNvmJ3/yJymXy9xzzz1HVYr5m7/5m/zRH/3RyMc8+uijnHfeed3/f/DgQd785jdz9dVX87//9/9+qU9xggk2HBPCMsFxi3G/tO+55x6+8pWv8O1vfxtJkiaEZUzU6/UfSnIUBAHf//73u+Rlfn6ed77znczMzHDttdeSSqU28GxPXHS0+J07xpqmHe1T+qHQKarcX97Pvx/+95ERxxBJtup2feBURRTEblFl3a6TUTOxRYrQJiuehbuufyWSURm0vFY3AnkoWVlewXVdSlMlJFEiraax/NU1O+cmCXJENtZMPUqJEvP1BUzLxDJNbNtGVhQMw8DQDWRFRoCuvCsIfQRBJKdlkUWZmlPHbgcNQDTtSCjjpat1el6gE5ecIQhDKlalR4qW0TI0nebA637Z5m387NafjT3Wy4kwDLuk/oorrtjQvxPHcfjpn/5pDh48yDe+8Y2jLqlaXFykXB6d/nbWWWd1CduhQ4e4+uqrueqqq/jrv/7rScLjBMclJoRlguMW435p//iP/zi33357j/G1Y/R73/vex5e+9KWX+lRf8QiCgN27d7Nz50527drFgQMHeNvb3sbMzAzXX389mUxm0ukyAJ3+CNd12bZt2wnnDfIDn8eXH2duIep6WVsUCaPJynpMJaZwAxdZlGk4jW5y2Hqk1MjcH9fmnlAS5PU8NafWc14hkcHe8zxKpYisJNQEfuBje/bAtQRBIKNmIkO8IDLf7DXEB0GAaVlYpoVlWUiyRCldRFRFBFkc0DIjkNWj9VpuC1XWWBkigVuLYqJEuTWY0MmiTKY9ubJ9G9d3sf3+13Na5lQ+fuXHUaRjp28kDEMeffRRVlZWuPzyyzdUhuq6Lj/3cz/HE088wbe+9S1KpdKGrf1y4ODBg7zlLW/h8ssv52//9m8nnpEJjltMCMsEJzyef/55arXVO4+HDh3ine98Jzt27ODKK6/klFNOOYpn98pDGIbs3buXr371q+zatYsnn3ySt771rWzfvp0bb7yRfD4/IS9E8qEHH3wQYMPL7o5FrC2qnFuYIwzDsclK3xREgIyaQZM0ml6TlhPJpJJKEi/0hhKLtVhbkKjLOmktje3ZPHvoWVzf7ZIVXdERQqEbFjByzcQUi+Zi99xaTquvmyUMQ4T/f3v3Hhd1ne8P/DU3mOF+HbwLKt4VBdS0cjExRJEZtHxUuz7K9mfnaGVup1a3Omdrd8+xLTu7W23HLluZp7JkhosXKPFCx1pbAR1vaF5RIRgGuTPDMPP9/v5AZkVR0L4wA7yePfqjYfjwHgH7vubz/bzfDhkaGhtR11QLmUwOjUZ9ddaLN67/1QjzCYfNYYOPUgOro3275Gt1dc6L4upujVKmvKFdcpA6CM/d9W8IVAd2+lp7iiiKOHnyJKqqqhAfHy9pWHE4HHjiiSdw5MgR7N27FxEREZKt3RNKS0uRkJCA4cOHY9OmTe3CipRDZol6AgML9Tu8JcxztF1spKenIyMjA8eOHcPs2bOh1+uxaNEihIWF9cvwYrfbcejQIahUKsTExPTLd0Uv1l7E4YrDMJlNrluYOtLRLVvX8/Pya91Zcdhxxdb5TkRH09xFiKiqqoJckGPk0JEAWs/myGSym559abfmTQ6v+149EG91WFHfXN/uLIooAs3NNlitNthsVogANGo11BoN1N7e0PpF3NA5TKPyga/Kt7Wds62m9fV3oX0x0HoGKEgdhGpbdbtHA70D4Kvyw7LJv8CQAM95g6etEUVlZSXi4+MlPdvldDrx5JNP4sCBA8jPz8fAgQMlW7unfPzxx1i+vONb93jpR70NAwv1OwwsnkkURZw9e9YVXoqKijBr1izo9XqkpqZiwIAB/SK8NDc3o6ioCD4+Ppg0aRLvNwfwY8OPMFW0znoprS91Pd6VsAIAGpUGoijC5rBBo9K4LuA7OvPRYVgRRVRdqYLgFBAWFga5XA6VXNW6EyFv3fm61ayXrs6j8ffyh6/KF00OK+qua0YgArA3210dxwLk/rApm6HRaFrbJXfwu+Gt9EawOhiCKLQOh+zkf/dhPuGwdBCqZDIZ/t/UFZisnXTrF9CDRFHEDz/8ALPZLHlYEQQBzzzzDPLz87F3714MHTpUsrWJ6M4wsBCRxxFFESUlJTAajTAajThw4ABmzJgBnU4HnU6HIUOG9MnwYrVaUVhYiKCgIIwfP55hpQOWJgsOVxzGuZpzOFZ5rNOLcI1SA8jQ4eF+tfLqPBWhBbW2WoT5hN2wCyKKrTsrgiggLLQ1rCjkCviqfNsFHoVMgQB1ABQyRbtZL6GaUFyxXem0ToVMAT8vP1eLZ2+lN/y9/OG4OvPk2s8P1YSivK4cTdbWQ/sOhwPeajU0ag3UGjUUV39ulHIV1EpvNNgbXAfsxasH7K+/1S7cR4vKpo53shaPXYw5kXNuWX9PEkURp0+fRnl5OeLj4yXtPigIAp5//nnk5ORg3759iIyMlGxtIrpzDCxE5NFEUURZWRmMRiMMBgO+/fZbTJ061RVeoqKi+kR4aWxsRFFREcLCwjB27Ng+8Zq6W42txjXr5cyVMzcMXFQr1ZDJZJ12IgOACJ8IOEUnnKLTNbxRFEVYqlp3RkLDQiGXybs0O6Zt1otGpUGNtabT8y1tHcWqrdUdflylUCHAKwAQAUEUUHu1c1ibFocDNmvrzktLSwu8vLzh4+ODiEAtGhw3Do1UyJX/bA3dXItA70BU3aS72uxhs/Hg+AdvWX9Pun54qpTziARBwAsvvICMjAzs3bsXo0aNkmxtIvppGFiIqNcQRREVFRXIzMyEwWBAfn4+JkyYAJ1OB71ej+jo6F55oV9fX4+ioiIMGjQIo0aN6pWvwd2uH1SplCu7HFauv2VLKVfCT+WHiooKNDgaEBwaDLlM/s+Bi1fPhtyKq8MZnK5D9g0tDR3WE6oJRdVN5p1cq+3gv5+Xf2vYsNXCcd25FKfTCavVCpXTC5aGSqiutktWazRQddC4IVgTApkog1wuR529DvZrGhJM0k7CiqkrPOrn8cyZMygtLZU8rIiiiJdffhmffvop9u7dizFjxki2NhH9dAwsRNQriWJre9m28LJ7926MHj0aqampSEtLw7hx4zzqQutmamtrUVRUhMjISERFRbm7nD7B5rCh2FKMovIi16DKmwn1uRoWrvk/oSAKqLJUATJAG6ZFsKY1sADo0pmZAO8ANLU0dXimxc/LDz5KHzS2NKKxpbHL53D8vPxc7YbbtO3kKOWq1m5eV19n2wF/pyDAZrXBarOi2WaDUql0DapUqVQI8PKH1WG7JvS0HrBXKbwQrA7CyriVHtW++OzZs7h06RLi4+MlneMkiiLWr1+P999/H3v27MGECRMkW5uIpMHAQkS9niiKqK2tRXZ2NoxGI7766isMGzYMOp0OaWlpHnt4/cqVKzh8+DBGjRqFYcOGubucPqnF2YITlhM4bD6M45XH2+1wdHS+RBAEWKoskMvkCA0NhUwmg0wmQ7A6GNW2agSpg6CQKa7uRtw4y+VmQyk7MsB3AJxwwuaw3TCD5loapQYixJvOlgEAyIBA70D4q/xR1XQFVkf7zmWCKMJms8FqtcJms0Gj0EDto4bCSwEvb692s17CfcLxqxm/gr/3nQ+Oldr58+dRUlLSLWHljTfewJtvvondu3cjJiZGsrWJSDoMLETU59TV1WHHjh0wGo3IycmBVqt13TYWFxfnEeGlsrISR48exdixYzFo0CB3l9MvOAUnTl05BVOFCRfrLqK0vvTGsGKxQK6QIzTkaliBDME+wbjSdF07ZBkQ6BUIL6UXGpobYHVYuzyUEgC0PlqYrznk3jbrxe60o85WB/Hqlo+X0gtKmfK2Wyf7e/tDo9C07uTY2896UcpUcLY4caW+ClabDTIAarUGGo0aof5h+LeZzyLcJ7zTr9dTLly4gAsXLiAuLg7+/tKFKFEU8eabb+L111/Hrl27EBcXJ9naRCQtBhYi6tMaGxuRm5sLg8GAHTt2ICgoCKmpqdDpdJgxY4ZbZpyUl5fj+PHjmDhxYq8bRtdXtA2qPFxxGKYKE6qaqmCxWKBUKBESGgLZ1X9CfEJQ1dT5+ZJwn3AoZAo0tDSgwX7jQfd2z+2gdfK1vBReCLja0atFaOmw/fL1wjRhsNg6bp3s6+ULjcIHzU4brC1W+Kh8UXe1aYAoAnZ7M6xWKxzNTugjdBg/eDy0Wm3rcEw3zwAqKSnBuXPnEBcXh4CAAMnWFUURGzduxB/+8Afk5uZixowZkq1NRNJjYCGifsNqtWLXrl0wGAzYtm0b1Go1Fi1ahLS0NMyaNatHpsmXlpbi1KlTmDRpEsLDPedd7P7Mbrdjx7c7cKnlEqo11a4zJXcy5wVoHQbpo/LpcNbLzQZIXk95deJ8U0sTgryDIEK86ayXEE0Iqm3VnbZOlsvkCNWEQoQIh/Nqu+SrCUchV2DF1CcwxGswzGYzzGYzbDYbQkNDodVqER4eDpWqZ8+zXLx4EWfPnkVsbCwCAwMlW1cURXz44Yd46aWXsGPHDtxzzz2SrU1E3YOBhYj6Jbvdjj179iA9PR1ZWVmQyWRISUlBWloaZs+e3S0XZ20XYDExMQgJCZF8fbp9zc3NKCwshJ+fHyZOnAi5XI4fG37EscpjKPyxsN2gyo7cas4L0BpmfFW+sDvt8JJ73XQX5Fo360amkCkQqA6ETNbajtjhdCDQOxAN9oYb5qp0JNQntN1uUdtOjiAISIlOwbRB01wfE0URjY2NrvDS0NCA4OBgaLVaaLVaeHt7d/r1fopLly7hzJkz3RJWNm/ejOeffx7btm1DQkKCZGsTUfdhYCGifs/hcCA/Px9bt25FVlYW7HY7Fi5cCL1ejzlz5vzkizNRFF2HhqW+AKM71xZW/P39MWHChA7PNlU2VcJUYcJh82FcrL3Ybhfjdua8hGnC0NDSAD8vPzhFJ2psNR3uiMhkMgSpg246k+Xa50X4RrTOZbHVotl5805owK13dhaPXYw5w289GNJqtbrCS21tLQICAlzhRcrBjQBw+fJl/PDDD4iNjUVQUJBk64qiiC1btuCZZ55BZmYmEhMTJVubiLoXAwsR0TWcTif2798Pg8GAjIwM1NfXIzk5GXq9HomJidBoNLe13rWD7mJjYyU9NEx3zmazobCwEIGBgZgwYUKXWmDX2GpgMptgqjDhct1lyGSyLh2G76gbmUqhQqB3IARRQE1zDQRBuPkB/w60a3Pc1gBA4dXhrJfrD/hf6/4R92NR9KJOv961mpubUVlZCbPZjCtXrsDX1xdarRYRERHw9fX9Se3E226ZnDp1KoKDg+94nY4YDAasXLkSX375JRYsWCDp2kTUvRhYiIhuQhAEHDhwwBVeKisrkZSUBJ1Oh6SkpE7bq4qiiJMnT8JisSA2NlbSQXd056xWKwoLCxEcHIzx48ff0QV2Q3MDjlYexWHzYfxQ9UOHZ0sAIEQdgurmW58vUcgVCPQOhEapQXljOZzCrW/vuv7MzPX8vf2hVqhhdVihUWluesD/7qF346HxD93ya3WmpaUFFosFZrMZFosF3t7eiIiIgFarRUBAwG392ZaVleHkyZOYMmWK5LdMZmdn45e//CU+//xzpKamSro2EXU/BhYioi4QBAFFRUVIT0+H0WjE5cuXMW/ePOh0OiQnJ99wm5fdbsfy5cuRkJCAX/ziF7e9M0Pdw2q1oqCgAGFhYRg7dqwkw0WtLVYcqzwGk9mEYkuxq61xsDoYtc21EESh0zXaDvjLZXIEqgOhkClQ21x7wzwXb6U35DJ5125D8wlDU0sTfLx80OxobjfrZeqAqVg+ebmkw1WdTieqqqpgNptRWVkJhULhum0sKCjolu3Ef/zxRxQXFyMmJgahoaGS1QQAO3fuxGOPPYZNmzZhyZIlkq5NRD2DgYWI6DYJgoCjR48iPT0dGRkZOHPmDO677z7odDosXLgQarUaDzzwAEpKSpCTk8OhkB6iqakJhYWFCA8Px5gxYyS9WG/T4mzBcctxnLCcwJGKI2hsaez0c252vqRtkr1KrkKdvQ6iKEKlUN0wV6UjHd2Gplaq4eflh8H+g/HY5MeglHdfVzxBEFBdXe069yKKIsLDw6HVahESEtKuXXJbm++YmBiEhYVJWkdeXh4eeeQRvP/++3j44YclXZuIeg4DCxEBaB3O9vvf/x579uxBeXk5Bg0ahF/84hd48cUX4eXl5e7yPJYoiiguLnaFl2PHjsHPzw9qtRrbt2+X7F18+mkaGxtRWFiIiIgIjB49uke+Jw7BgVNVp2Aym3DUfLTD+SydzWRpo5KrXB3CGlsa0WS/+dmZYE0wam0d7+xEBUXhqfin4KXoud9pURRRW1vrCi92ux1hYWHQarUQBAHFxcWYPHmy5G2+8/PzsXTpUvz1r3/FsmXL+HtI1IsxsBARACA3NxdffPEFHn74YYwaNQrHjh3DihUrsGzZMmzYsMHd5fUKNTU1SExMRFVVFYKDg3H06FHcfffd0Ov1SE1NRUREBC+a3KCxsREFBQUYNGgQRo0a5ZbvgSAKOFvdOqjyiPkIamw1XZ7JopAr4KvybTfTxc/LzzWn5dogdKs2x0MChuDp+Kfho5K2q9ftEEURDQ0NMJvNKCsrg81mQ0BAAIYMGYLw8HDJ3hz59ttvsWTJEvz3f/83fvnLX/L3jqiXY2Ahopt6/fXX8T//8z84d+6cu0vxeBaLBfPnz4dWq0V6ejo0Gg1KSkpgMBhgNBrx/fff46677oJOp4NOp8PgwYN5EdUDGhoaUFhYiMGDB2PkyJEe8WcuiiJK6kpgqjDBZDbdcodFKVfCV+WL2quT6Tvio/KBj8oHcshRZa3qMKxofbVYM30N/L08o0tdZWUljhw5gtGjR8PpdMJsNqOurg5BQUGucy9qtfqO1v7++++h1+vxX//1X1i1apVHfM+J6KdhYCGim3rppZeQm5uLgoICd5fi0crKyjBv3jyMHz8en3766Q3vEouiiNLSUhiNRhgMBnz33XeIjY11hZfIyEheVHWD+vp6FBYWYujQoRgxYoTH/hmX1ZfBZDbhcMVhlNWXuR6/2QDJjvh7+cPmtEEhU8Df2x8tzhbXJPsQTQjWTF+DYLW0bYLvlMVigclkwsSJExEREeF63GazudolV1dXw9/f3xVeutphr7CwEKmpqfjtb3+LZ555xmO/50R0exhYiKhDZ86cQVxcHDZs2IAVK1a4uxyPdeHCBcydOxezZ8/G+++/D6Xy1geZRVFERUUFMjIyYDAY8M0332DixImu8BIdHc2LLAm0hZVhw4ZhxIgR7i6ny8yNZld4abA34Iq185ksvipftIgtsDvs7R73UnhhoN9APDr5UYT7SHs+5E5VVVXBZDJh/PjxGDBgwE2fZ7fbYbFYUFFRgStXrkCj0bjCi7+/f4e/IyaTCQsXLsS6devw/PPP8/eIqA9hYCHq49atW4c//vGPt3xOcXExxo4d6/rv0tJS/OxnP0NCQgI++OCD7i6xV7t8+TI+/PBDvPTSS7ds29oRURRRVVWFrKwsGAwG7N69G6NHj4ZOp4Ner8e4ceN40XUH6urqUFhYiKioKERGRrq7nDtWbat23TZ2rvpch4fobzWTxdfLF89MewYD/Qb2RLmdunLlCg4fPoxx48Zh4MCu1+RwOFBVVYWKigpYLBY0NTUhOzsbixcvRmJiIpRKJY4fP47k5GSsWbMGL774In9viPoYBhaiPq6yshJVVVW3fM6IESNctzGVlZUhISEBd911Fz7++OPbvginOyOKImpqapCdnQ2j0Yivv/4aw4cPd4WXSZMm8XvRBbW1tSgqKsKIESMwfPhwd5cjmXp7PY6aj8JkNrkGVaqVashksg5nsmhUGqyOX40hAUPcUO2NqqurcejQIYwdOxaDBg2643XaWoq/+uqr2LdvH+RyOeLj43Hw4EGsWrUK//mf/8mwQtQHMbAQkUtpaSnmzJmDuLg4/O///m+7WQnUs+rq6rB9+3YYjUbk5uYiIiLCFV5iY2MZXjpQU1ODQ4cOYeTIkX169k3boMpiSzFMZpNrUGUbb6U3nox7ElFBUW6qsL2amhoUFRVh9OjRGDJEugBlt9vxySefYN26dVAqlZDL5Vi4cCEWL16M+fPnd/ncCxF5PgYWIgLQGlYSEhIwfPhwbNq0qV1YudW95tT9GhsbkZOTA4PBgB07diA4OBipqanQ6/WYPn06gyX++Q5+dHQ0hg4d6u5yeozdaccJywmYzCYcqzwGp+DEytiViA6JdndpAP4ZIqOjoyUNKwBw/vx5zJ8/H0uWLMEbb7yBoqIiZGRkwGg0oqSkBElJSVi8eDFSUlIQEhIi6dcmop7FwEJEAICPP/4Yy5cv7/Bj/GvCc1itVnz99dcwGAzYvn07NBoNFi1aBL1ej1mzZnV66L8vajsbIfU7+L2NQ3CgxlaDMB9pp8Xfqbbb80aNGiV5iLx48SLmz5+PBQsW4O23375hx7G4uBhGoxFGoxHHjx9HeXk5goKCJK2BiHoOAwsRUS9lt9uRl5cHg8GA7OxsyOVypKSkIC0tDffeey9UKpW7S+x2bV2nfurZCJJWW+OD7jhLVFZWhqSkJNx333149913O709sry8nLvERL0cAwsRUR/Q0tKC/Px8pKenIzMzEy0tLUhJSYFOp8OcOXPg7e3t7hIlZ7FYcOTIkdvuOkXdq62ldGRkpORd2srLy5GcnIy77roLH374IW+HJOonGFiIiPoYp9OJ/fv3u8JLfX09FixYAJ1Oh8TERGg0GneX+JNVVlbi6NGjnc7zoJ7VFlaGDx+OqChpD/1XVlZiwYIFmDx5MjZv3twvb38k6q8YWIiI+jBBEHDgwAGkp6cjIyMDFosF8+fPh06nQ1JSUq/spGQ2m3H06NEbJqWTezU0NKCgoKBbhnVWVVVh4cKFiI6OxpYtW/rF7Y5E9E8MLERE/YQgCCgsLHSFl9LSUsybNw86nQ7JyckICAhwd4mdqqiowLFjxzBp0iRotVp3l0NXNTY2oqCgAEOGDMHIkSMlXbumpgYpKSkYMmQI0tPTXTOjiKj/YGAhIuqHBEHAkSNHXOHl7NmzmDt3LnQ6HRYuXIigoCCPG8BXXl6OEydOYNKkSQgPD3d3OXRVW1gZPHgwRo4cKenPTV1dHVJTUxEaGorMzMw+eRaLiDrHwEJE1M+Jooji4mKkp6fDaDTixIkTSEhIgF6vR0pKCkJDQ90eXn788UcUFxdj8uTJCAvzjLa9BDQ1NaGgoAADBgxAdHS0pD8nDQ0N0Ov18PHxwbZt2/rE2SsiujMMLERE5CKKIs6cOeMKL4cPH8Y999wDnU6H1NRURERE9Hh4KSsrw8mTJxETE4PQ0NAe/dp0c1arFQUFBdBqtRg9erSkPxdNTU1YsmQJAGDnzp298qwVEUmHgYWIiDokiiIuXLgAg8EAo9GIgwcP4q677kJqaip0Oh0GDx7c7eGltLQUp06dwpQpUzit3IO0hZXw8HCMGTNG0p8Dq9WKpUuXorm5GTk5OfD395dsbSLqnRhYiIioU6Io4vLly67p4d999x3i4uKg0+mg0+kwfPhwycPLpUuXcPr0aUydOhXBwcGSrk13zmazoaCgAKGhoRg7dqyk3/fm5mY8/PDDqK6uxtdff43AwEDJ1iai3ouBhYiIbosoiigvL0dGRgYMBgO++eYbTJ482RVeRo0a9ZMvYi9evIizZ89i6tSpCAoKkqZw+snawkpISAjGjRsnaVix2+1YtmwZysrKsGvXLu6oEZELAwsREd0xURRhsViQlZUFg8GAPXv2YMyYMa7wcicXtSUlJTh37hxiY2P5DrsHaW5uRkFBAYKCgjB+/HhJw0pLSwuWL1+Os2fPYvfu3WysQETtMLAQEZEkRFFETU0NsrOzYTAYsGvXLkRGRkKn00Gv12PixImQy+W3XOP8+fO4cOECw4qHaW5uRmFhIQICAjBhwgRJw4rD4cATTzyBI0eOYN++fZyvQ0Q3YGAhIqJuUVdXh+3bt8NgMCA3NxcDBw5Eamoq0tLSMHXq1BvCy9q1a2E2m/GXv/ylVwyx7C/sdjsKCwvh5+eHiRMnShpWnE4nVq1ahX/84x/Yt28fBg4cKNnaRNR3MLAQkcuJEydgNpuRkJDg7lKoj2loaEBOTg4MBgN27tyJkJAQLFq0CGlpaYiLi8O6devw+eefIzMzE9OnT3d3uXRVW1jx9fXt0g7Z7RAEAatXr8Y333yDvXv3YujQoZKtTUR9i3R/8xBRr9X2vsXly5dx3333oaamBnwvo72//vWviIyMhFqtxowZM/CPf/zD3SX1Kn5+fnjwwQexZcsWVFRU4M9//jNqa2uxePFiDB48GB999BF+//vfIzY21t2l0lUtLS0oKiqCj49Pt4SV5557Dnv37kVeXh7DChHdEgMLEblu8Rg2bBjGjBmDgoICyGQyHDhwAHq9HqtXr+7XAeaLL77As88+i9/+9rcoKipCTEwMkpKSYDab3V1ar6TRaKDX67Fp0yY8/vjj8Pb2RnJyMl555RVER0dj9erV2Lt3L1paWtxdar/VFlbUajUmTZokeVh54YUXsGPHDuTl5SEyMlKytYmob+ItYUQEoPVecoVCgalTp+L++++HIAjIyMjAnDlz8Pjjj2PmzJkQBAGCIECpVLq73B41Y8YMTJs2DW+//TaA1guuoUOH4umnn8a6devcXF3vJIoinn32WaSnp2PPnj2Ijo5GS0sL9u3bB4PBgMzMTDgcDqSkpECn0yEhIQHe3t7uLrtfcDgcKCoqgkqlQkxMjORh5eWXX8Znn32GvXv3YsyYMZKt3R2am5sxY8YMmEwmHDp0CFOmTHF3SUT9EndYiAgAoFAo0NjYCLlcjo8//hg//PADvvzyS7z33nuYOXMmSktLIZfL+11YabuHPzEx0fWYXC5HYmIi/v73v7uxst5LFEWsXr0aRqMR+fn5iI6OBgCoVCrMmzcPGzduxOXLl5Geng4/Pz88/fTTiIqKwooVK7B9+3ZYrVY3v4K+qy2sKJVKTJ48WdKwIooi1q9fj82bNyMvL8/jwwoA/PrXv8agQYPcXQZRv8fAQtSPXbvB+sknn2DZsmU4dOgQBg8ejKysLMTGxkImk8HhcOCpp55CZGQk3nnnHQiC4Maqe5bFYoHT6URERES7xyMiIlBeXu6mqnovQRCwatUq7NixA/n5+RgxYkSHz1MqlUhISMDbb7+NkpIS7NixA1qtFmvXrkVUVBQeffRRZGRkoLGxsYdfQd/ldDpx6NAhKBQKxMTEQKFQSLa2KIrYsGED3n33XezatQvjx4+XbO3ukpOTg6+//hobNmxwdylE/R4DC1E/JpPJ8P3332Pu3Ll49dVXkZycjBdffBEDBgxAZWWl63miKOKVV17BI488ApPJJOm7rtS/yGQyDBo0CPv27evy2QWFQoG7774bf/rTn3D27Fnk5eUhKioKL7/8MiIjI/HII4/gyy+/RF1dXfcW34e1hRWZTIYpU6ZIHlbefPNN/OUvf8FXX32FyZMnS7Z2d6moqMCKFSuwefNm+Pj4uLscon6PVx1E/djly5fx1FNPYdiwYdi5cydWrFiBpUuXYv/+/WhoaADQ+o64SqVCeHg4Ghsbcd9997ke7w/CwsKgUChQUVHR7vGKigoMGDDATVX1XjKZDP/+7/+OYcOG3dHny+VyTJ8+Ha+99hpOnTqF/fv3Y+LEiXjttdcQGRmJpUuX4tNPP2Wnu9vgdDpx+PBhiKKIqVOnSh5WNm7ciNdeew05OTmIi4uTbO3uIooiHnvsMfzrv/4r4uPj3V0OEYGBhahfGzJkCA4ePIj33nvP9W63l5cXBEFAcXExALh2Uy5evIjLly+7ZrT0l10WLy8vxMXFYffu3a7HBEHA7t27MXPmTDdWRnK5HFOnTsUf/vAHHD9+HIWFha7mCJGRkVi8eDE2bdoEi8XC8HITTqcTJpMJgiB0S1j529/+ht/97nfYvn07ZsyYIdnad2LdunWQyWS3/PfkyZN46623UF9fj9/85jdurZeI/oldwoj6MUEQbggezc3N2Lx5M/z8/PDQQw8BAKxWKz799FMUFRXhnXfecUepbvXFF1/g0Ucfxbvvvovp06fjz3/+M7788kucPHnyhrMt5H6iKOL06dNIT0+H0WiEyWTCvffeC51Oh9TUVGi1WkmntfdWgiDAZDKhpaUFsbGxkjbUEEURmzdvxq9//WtkZ2d7xDDayspKVFVV3fI5I0aMwNKlS7Ft27Z2PyNtXRR//vOfY9OmTd1dKhFdh4GFiDrV2NiItWvXYtq0aXj00Uc7DDp93dtvv43XX38d5eXlmDJlCt588023v2NMnRNFEefPn4fBYIDRaERBQQFmzpyJ1NRU6HQ6DBo0qF+Gl7awYrfbERsbC5VKJdnaoihiy5YtWLNmDTIzMzF37lzJ1u4JFy9ebHceqqysDElJSUhPT8eMGTMwZMgQN1ZH1D8xsBBRO6IoQhAEKBQKiKKIt956C6GhodixYwc+++wz13P640Ue9W6iKOLSpUswGo3IyMjAd999h7i4OOh0Ouj1egwbNqxf/FwLgoCjR4/CarUiLi5O0rACAAaDAStXrsTWrVuRnJws6drucOHCBURFRXEOC5Eb9a+3SImoUzKZzHUfe2NjIy5evIhXXnkFW7Zswe9+9zs0NTX1i4s66ntkMhmGDRuGNWvWYN++fSgpKcGyZcuQl5eHyZMnY/bs2XjjjTdw5syZPnvmpS2sNDU1Sb6zAgDZ2dlYuXIlPvvssz4RVojIM3CHhYi6pLCwEIcOHcKDDz6IwMBAd5dDJBlRFGGxWJCZmQmDwYA9e/Zg7Nix0Ov10Ol0GDt2bJ8I6YIg4NixY2hsbERcXBy8vLwkXX/nzp149NFH8cknn2DJkiWSrk1E/RsDCxHd1LW3hxH1B6Ioorq6GtnZ2TAYDNi1axdGjBjhum1swoQJvfL8liiKOH78OOrq6hAfHy95WMnLy8MjjzyCDz74wNWsg4hIKgwsRNQlPLdC/VFtbS22b98Og8GAr776CoMGDUJqairS0tIwZcqUXhFeRFHEiRMnUFNTg/j4eHh7e0u6fn5+Ph588EG88847WLZsGf+eICLJMbAQERF1QUNDA3bu3AmDwYCcnByEhoZi0aJFSEtLw7Rp0zwyvIiiiOLiYlRXVyMuLg5qtVrS9ffv348HHngAf/rTn/D4448zrBBRt2BgISIiuk1NTU346quvYDQasX37dvj6+iI1NRV6vR4zZ870iNsoRVHEyZMnUVVVhfj4eMnDyvfffw+9Xo/169dj5cqVDCtE1G0YWIiIiH4Cm82GvLw8GI1GZGVlQaVSYdGiRdDr9bjnnnsk78TVFaIo4tSpU6isrER8fDw0Go2k6xcWFiI1NRUvv/wyVq9ezbBCRN2KgYWIiEgiLS0t2LdvH9LT05GZmQmn04mUlBTo9XokJCRIfti9I6Io4ocffoDZbO6WsGIymbBw4UL85je/wXPPPcewQkTdjoGFiIioGzgcDuzfvx9bt25FZmYmmpqasGDBAuh0OiQmJkp+ixbQGlZOnz6N8vJyxMfHw8fHR9L1jx8/juTkZKxZswYvvvgiwwoR9QgGFiIiom7mdDrx97//3bXzUl1djaSkJOj1etx///2SBAtRFHHmzBmUlZUhPj4evr6+ElT+TydPnkRycjL+5V/+Ba+88grDChH1GAYWIiKiHiQIAg4ePIj09HRkZGSgvLwc8+bNg16vx/z58+Hv739H6545cwalpaXdElZOnz6N5ORkLFu2DOvXr/fIjmhE1HcxsBAREbmJIAg4fPgwDAYDjEYjLly4gMTEROh0OixYsACBgYFd2sk4e/YsLl26hPj4ePj5+Ula4/nz5zF//nw88MADeOONNxhWiKjHMbAQERF5gLZp9Onp6TAajTh16hTmzJkDnU6HlJQUhISEdBheNmzYgOjoaMydO1fysHLx4kUkJSUhJSUFb731FsMKEbkFAwsREZGHaev01bbzYjKZcO+990Kv12PRokXQarWQyWT4j//4D7z33nvIzs7G9OnTJa2hrKwMSUlJmDt3LjZu3MiwQkRuw8BCRESSWb9+PYxGI06ePAmNRoNZs2bhj3/8I8aMGePu0notURRx7tw5GAwGZGRkoKCgADNnzoRarcZ3330Hg8GAe++9V9KvWV5ejuTkZMycORN/+9vfPGIQJhH1XwwsREQkmfnz5+Ohhx7CtGnT4HA48MILL+DYsWM4ceKE5AfB+yNRFHHp0iX86le/QlZWFgBg2rRp0Ol00Ol0GDZs2E/u3mU2m7FgwQJMmTIFn3zyCZRKpRSlExHdMQYWIiLqNpWVldBqtcjPz8fs2bPdXU6fsHHjRqxduxa5ubkYPnw4MjIyYDAY8H//93+IiYmBXq+HTqfDiBEjbju8VFVVYeHChRg9ejQ+//xzqFSqbnoVRERdx8BCRETd5syZM4iOjsbRo0cxceJEd5fT633wwQd49tlnkZubi1mzZrkeF0URlZWVyMzMhMFgwN69ezFu3DhXeBkzZkyn4aWmpgYpKSkYOnQotm7dCi8vr+5+OUREXcLAQkRE3UIQBKSmpqKmpgb79+93dzm93kcffYTVq1dj586dtzyzIooiqqurkZWVBYPBgLy8PIwcORKpqalIS0vD+PHjbzhAX1dXh9TUVISFhSEjIwPe3t7d/XKIiLqMgYWIiLrFypUrkZOTg/3792PIkCHuLqdXKy8vx6RJk7B161YkJCTc1ufW1tZi27ZtMBqNyM3NxeDBg6HX66HX6xETE4Ompibo9Xr4+Phg27Zt0Gg03fMiiIjuEAMLERFJ7qmnnkJWVha++eYbREVFubucPqGurg4BAQE/aY36+nrs3LkTRqMRO3fuREhICARBQGRkJHJzc9kYgYg8EgMLERFJRhRFPP3008jIyMC+ffsQHR3t7pLoJpqammA0GvHqq6/i22+/RWBgoLtLIiLqEAMLERFJZtWqVfjss8+QlZXVbvZKYGAgbzUiIqI7wsBCRESSuVknqo8++giPPfZYzxZDRER9AqdBERGRZPgeGBERSU3e+VOIiIiIiIjcg4GFiIiIiIg8FgMLERERERF5LAYWIiIiIiLyWAwsRERERETksRhYiIiIiIjIYzGwEBERERGRx2JgISIiIiIij8XAQkREREREHouBhYiIiIiIPBYDCxEREREReSwGFiIiIiIi8lgMLERERERE5LEYWIiIiIiIyGMxsBARERERkcdiYCEiIvIwr776KmQyGdasWePuUoiI3I6BhYiIyIMcPHgQ7777LiZPnuzuUoiIPAIDCxERkYdoaGjAz3/+c7z//vsIDg52dzlERB6BgYWIiMhDPPnkk1i4cCESExPdXQoRkcdQursAIiIiArZs2YKioiIcPHjQ3aUQEXkUBhYiIiI3u3TpEp555hns2rULarXa3eUQEXkUmSiKoruLICIi6s8yMzORlpYGhULheszpdEImk0Eul6O5ubndx4iI+hMGFiIiIjerr69HSUlJu8eWL1+OsWPHYu3atZg4caKbKiMicj/eEkZERORm/v7+N4QSX19fhIaGMqwQUb/HLmFEREREROSxeEsYERERERF5LO6wEBERERGRx2JgISIiIiIij8XAQkREREREHouBhYiIiIiIPBYDCxEREREReSwGFiIiIiIi8lgMLERERERE5LEYWIiIiIiIyGMxsBARERERkcdiYCEiIiIiIo/FwEJERERERB6LgYWIiIiIiDwWAwsREREREXksBhYiIiIiIvJYDCxEREREROSxGFiIiIiIiMhjMbAQEREREZHHYmAhIiIiIiKPxcBCREREREQei4GFiIiIiIg8FgMLERERERF5LAYWIiIiIiLyWAwsRERERETksRhYiIiIiIjIYzGwEBERERGRx2JgISIiIiIij8XAQkREREREHouBhYiIiIiIPBYDCxEREREReSwGFiIiIiIi8lj/Hy8d778YC2kIAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "M = 150\n", - "\n", - "σ_1, σ_2 = np.sqrt(np.diag(Σ))\n", - "\n", - "x = np.linspace(-3 * σ_1, 3 * σ_1, M)\n", - "y = np.linspace(-3 * σ_2, 3 * σ_2, M)\n", - "\n", - "x, y = np.meshgrid(x, y)\n", - "xf = x.flatten()\n", - "yf = y.flatten()\n", - "xy = np.stack([xf, yf], axis=1)\n", - "exy = np.exp(μ + xy)\n", - "\n", - "z = X._cdf(exy).reshape(M, M)\n", - "\n", - "cdf_approx = np.zeros(N**2)\n", - "\n", - "for i in range(N**2):\n", - " atom = X_approx2.atoms[:, i]\n", - " for j in range(N**2):\n", - " if np.all(X_approx2.atoms[:, i] > X_approx2.atoms[:, j]):\n", - " cdf_approx[i] += X_approx2.pmv[j]\n", - "\n", - "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", - "ax = plt.axes(projection=\"3d\")\n", - "\n", - "ax.scatter(\n", - " np.log(X_approx2.atoms[0].flatten()),\n", - " np.log(X_approx2.atoms[1].flatten()),\n", - " cdf_approx.flatten(),\n", - " color=\"red\",\n", - ")\n", - "ax.plot_surface(μ[0] + x, μ[1] + y, z, alpha=0.6, cmap=cm.ocean)\n", - "\n", - "ax.set_xlabel(\"$x_1$\")\n", - "ax.set_ylabel(\"$x_2$\")\n", - "ax.set_zlabel(\"CDF\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Finally, we can add see how the CDF is approximated with the tail points functionality enabled. As it happens, the curvature at the tails is approximated better in this manner." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([0.89439444, 0.95068046])" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "N = 10\n", - "\n", - "X_approx3 = X._approx_equiprobable(N, tail_bound=0.0015, endpoints=True)\n", - "X_approx3.expected()" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "M = 150\n", - "\n", - "σ_1, σ_2 = np.sqrt(np.diag(Σ))\n", - "\n", - "x = np.linspace(-3 * σ_1, 3 * σ_1, M)\n", - "y = np.linspace(-3 * σ_2, 3 * σ_2, M)\n", - "\n", - "x, y = np.meshgrid(x, y)\n", - "xf = x.flatten()\n", - "yf = y.flatten()\n", - "xy = np.stack([xf, yf], axis=1)\n", - "exy = np.exp(μ + xy)\n", - "\n", - "z = X._cdf(exy).reshape(M, M)\n", - "\n", - "cdf_approx = np.array(\n", - " [\n", - " [np.sum(X_approx3.pmv.reshape(12, 12)[0:j, 0:i]) for i in range(1, N + 3)]\n", - " for j in range(1, N + 3)\n", - " ]\n", - ")\n", - "\n", - "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", - "ax = plt.axes(projection=\"3d\")\n", - "\n", - "ax.scatter(\n", - " np.log(X_approx3.atoms[0].flatten()),\n", - " np.log(X_approx3.atoms[1].flatten()),\n", - " cdf_approx.flatten(),\n", - " color=\"red\",\n", - ")\n", - "ax.plot_surface(μ[0] + x, μ[1] + y, z, alpha=0.6, cmap=cm.ocean)\n", - "\n", - "ax.set_xlabel(\"$x_1$\")\n", - "ax.set_ylabel(\"$x_2$\")\n", - "ax.set_zlabel(\"CDF\")\n", - "plt.show()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.14" - } + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Equiprobable Discretization of Multivariate Lognormals\n", + "\n", + "This notebook describes two ways of discretizing a multivariate lognormal distribution. Suppose $X = (X_1,\\,...,\\,X_n)$ are jointly lognormally distributed, with parameters $\\log(X) \\sim \\mathcal{N}(\\mu,\\,\\Sigma)$. We want to produce a discretized version of this distribution with atoms indexed by $[i_1,\\,...,\\,i_n]$ such that an approximation to the integrals of any function $\\theta$ of $X$ can be given as:\n", + "$$\n", + "\\begin{align*}\n", + "\\mathbb{E}[\\theta] &= \\int_{\\infty}^{\\infty}\\cdots\\int_{\\infty}^{\\infty}\\theta(x)f_{X}(x)dx_1\\cdots dx_n\\\\\n", + "&\\approx \\sum_{i_1}\\cdots\\sum_{i_n}\\theta(X[i_1,\\,...,\\,i_n])w[i_1,\\,...,\\,i_n]\\\\\n", + "&= \\frac{1}{m^{n}}\\sum_{i_1=1}^{m}\\cdots\\sum_{i_n=1}^{m}\\theta(X[i_1,\\,...,\\,i_n])\n", + "\\end{align*}\n", + "$$\n", + "To do so, we first begin with a standard $n$-variate normal given by $Z \\sim \\mathcal{N}(0,\\,I_{n})$. Fix an integer $m$, and divide the real-line into $m$ equiprobable intervals by the standard univariate normal distribution. Let the collection of these intervals be denoted by $\\mathcal{Z}$. Then $\\mathcal{Z}^n$ is an equiprobable grid in $\\mathbb{R}^n$ by the standard $n$-variate normal distribution.\n", + "\n", + "We now want to construct a random vector $Y = (Y_1,\\,...,\\,Y_n)$ such that $Y \\sim \\mathcal{N}(\\mu,\\,\\Sigma)$. There are two approaches to doing so.\n", + "\n", + "## Eigendecomposition\n", + "\n", + "Note that $\\Sigma$ is a covariance matrix, and thus real-symmetric and positive semi-definite. We can decompose it into\n", + "$$\n", + "\\Sigma = Q\\Lambda Q^T\n", + "$$\n", + "\n", + "### Approach 1\n", + "\n", + "Construct a matrix $\\tilde{\\Sigma}$ such that\n", + "$$\n", + "\\tilde{\\Sigma} = Q(\\Lambda)^{1/2}\n", + "$$\n", + "By construction, $\\tilde{\\Sigma}\\tilde{\\Sigma}^T = \\Sigma$. Let $Y = \\mu + \\tilde{\\Sigma}Z$. By the linear transformation theorem for multivariate normals, $Y \\sim \\mathcal{N}(\\mu,\\,\\tilde{\\Sigma}\\tilde{\\Sigma}^T) = \\mathcal{N}(\\mu,\\,\\Sigma)$.\n", + "\n", + "### Approach 2\n", + "\n", + "We can also use the positive-definite square root of $\\Sigma$, $(\\Sigma)^{1/2} = Q(\\Lambda)^{1/2}Q^T = \\tilde{\\Sigma}Q^T$. While all the above arguments apply, the initial rotation by $Q^T$ makes for a better approximation of the true CDF.\n", + "\n", + "## Cholesky Decomposition (recommended)\n", + "\n", + "An alternative way of constructing $Y$ is to use the Cholesky decomposition instead. Note that $\\Sigma$ is real and positive semi-definite, which implies that such a decomposition exists, with $\\Sigma = LL^T$. Then, let $Y = \\mu + LZ$. By the earlier argument, $Y \\sim \\mathcal{N}(\\mu,\\,\\Sigma)$.\n", + "\n", + "This construction can also be implemented using a simple recursive formula. Each $Y_{i}$ is written as\n", + "$$\n", + "\\begin{align*}\n", + "Y_{i} = \\sum_{j = 1}^{n}\\text{Cov}(Y_{i},\\,Z_{j})Z_{j}\n", + "\\end{align*}\n", + "$$\n", + "For $j > i$, $\\text{Cov}(Y_{i},\\,Z_{j}) = 0$. For $j < i$\n", + "$$\n", + "\\text{Cov}(Y_{i},\\,Z_{j}) = \\frac{\\sigma_{ij} - \\sum_{k < j}\\text{Cov}(Y_{i},\\,Z_{k})\\text{Cov}(Y_{j},\\,Z_{k})}{\\text{Cov}(Y_{j},\\,Z_{j})}\n", + "$$\n", + "For $j = i$\n", + "$$\n", + "\\text{Cov}(Y_{i},\\,Z_{i}) = \\sqrt{\\sigma_{i}^2 - \\sum_{j=1}^{i}\\text{Cov}(Y_{i},\\,Z_{j})}\n", + "$$\n", + "with the base case for all of the above given by $\\text{Cov}(Y_1,\\,Z_1) = \\sigma_1$.\n", + "\n", + "## Computing the atoms \n", + "\n", + "Now that we have a multivariate normal distribution, we wish to compute the conditional expectation of the lognormal variables $X_i = \\exp(Y_i)$ in each of the equiprobable regions of $\\mathbb{R}^n$. Note, firstly, that we can compute the expectation of each lognormal variable separately in each of the regions. Further, as the regions are rectangular, we can use the following simplification:\n", + "$$\n", + "\\begin{align*}\n", + "\\mathbb{E}[X_i | Z \\in [\\underline{z}_1,\\,\\overline{z}_1] \\times \\cdots \\times [\\underline{z}_n,\\,\\overline{z}_n]] &= m^{n}\\int_{\\underline{z}_n}^{\\overline{z}_{n}}\\cdots\\int_{\\underline{z}_1}^{\\overline{z}_1}\\exp(Y_i)f_{Z}(z)dz_1\\cdots dz_n\\\\\n", + "&= m^{n}\\exp(\\mu_i)\\int_{\\underline{z}_n}^{\\overline{z}_{n}}\\cdots\\int_{\\underline{z}_1}^{\\overline{z}_1}\\exp\\left(\\sum_{j=1}^{n}\\text{Cov}(Y_{i},\\,Z_{j})z_{j}\\right)f_{Z}(z)dz_1\\cdots dz_n\\\\\n", + "&= m^{n}\\exp(\\mu_i)\\prod_{j=1}^{n}\\int_{\\underline{z}_{j}}^{\\overline{z}_{j}}\\exp\\left(\\text{Cov}(Y_i,\\,Z_j)z_j\\right)\\varphi(z_j)dz_j\n", + "\\end{align*}\n", + "$$\n", + "The key is to compute each of these integrals efficiently.\n", + "\n", + "### Change of variables\n", + "\n", + "The definite integral of a lognormal variable $X$ such that $\\log(X) \\sim \\mathcal{N}(0,\\,\\sigma)$ over the interval $(\\underline{x},\\,\\overline{x})$ can be computed using\n", + "$$\n", + "\\begin{align*}\n", + "\\int_{\\underline{x}}^{\\overline{x}}xf_{X}(x)dx = \\frac{1}{2} \\cdot \\exp\\left(\\frac{\\sigma^2}{2}\\right) \\cdot \\left[\\text{erf}\\left(\\frac{\\sigma^2 - \\log(\\overline{x})}{\\sigma\\sqrt{2}}\\right) - \\text{erf}\\left(\\frac{\\sigma^2 - \\log(\\underline{x})}{\\sigma\\sqrt{2}}\\right)\\right]\n", + "\\end{align*}\n", + "$$\n", + "We apply this formula to each of the integrals above. Define $\\tilde{X}_{ij} = \\exp\\left(\\text{Cov}(Y_i,\\,Z_j)Z_j\\right)$. Then\n", + "$$\n", + "\\int_{\\underline{z}_{j}}^{\\overline{z}_{j}}\\exp\\left(\\text{Cov}(Y_i,\\,Z_j)z_j\\right)\\varphi(z_j)dz_j = \\int_{\\underline{\\tilde{x}}_{ij}}^{\\overline{\\tilde{x}}_{ij}}\\tilde{x}_{ij}f_{\\tilde{X}_{ij}}(\\tilde{x}_{ij})d\\tilde{x}_{ij}\n", + "$$\n", + "where $\\underline{\\tilde{x}}_{ij} = \\exp(\\text{Cov}(Y_i,\\,Z_j)\\underline{z}_j)$ and $\\overline{\\tilde{x}}_{ij} = \\exp(\\text{Cov}(Y_i,\\,Z_j)\\overline{z}_j)$. The integral on the right can then be computed using the formula above.\n", + "\n", + "### Advantage of Cholesky Decomposition\n", + "\n", + "There are a couple of reasons to prefer the Cholesky decomposition over the Eigendecomposition method. The first is that it reduces the number of computations required vis-a-vis the integrals that the number of unique integrals that need to be evaluated. Since $L$ is lower triangular, $Y_i$ is a function of $(Z_1,\\,...,\\,Z_i)$ but does not depend on $(Z_{i+1},\\,...,\\,Z_{n})$. As such, the conditional expectation problem can be reduced to:\n", + "$$\n", + "\\begin{align*}\n", + "m^{n}\\exp(\\mu_i)\\prod_{j=1}^{n}\\int_{\\underline{z}_{j}}^{\\overline{z}_{j}}\\exp\\left(\\text{Cov}(Y_i,\\,Z_j)z_j\\right)\\varphi(z_j)dz_j &= m^{i}\\exp(\\mu_i)\\prod_{j\\leq i}\\int_{\\underline{z}_{j}}^{\\overline{z}_{j}}\\exp\\left(\\ell_{ij}z_j\\right)\\varphi(z_j)dz_j\\\\\n", + "&= m^{i}\\exp(\\mu_i)\\prod_{j\\leq i}\\int_{\\underline{\\tilde{x}}_{ij}}^{\\overline{\\tilde{x}}_{ij}}\\tilde{x}_{ij}f_{\\tilde{X}_{ij}}(\\tilde{x}_{ij})d\\tilde{x}_{ij}\n", + "\\end{align*}\n", + "$$\n", + "The first implication is that calculating each conditional expectation requires the product of only $i$ integrals as opposed to $n$. Further, the conditional expectation of $Y_{i}$ depends only on the first $i$ standard normal variables, which means that only $m^{i}$ conditional expectations need to be calcualted, as opposed to $m^{n}$. While vectorization neutralizes the benefit on the first count, the computation of $m^{i}$ expectations which are copied over $m^{n-i}$ times as opposed to computing $m^{n}$ expectations really speeds up the process.\n", + "\n", + "Lastly, the approximation produced using the Cholesky decomposition also fits the true CDF than the one produced using the eigendecomposition, as seen in figures below.\n", + "\n", + "The rest of this notebook demonstrates the discretization output and the results obtained through its use." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import HARK\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib import cm\n", + "from scipy import integrate" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First, we test a trivariate lognormal distribution. Each variable is mean-one and correlated with the others." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "Σ = np.array([[3.0, 1.0, 2.0], [1.0, 2.0, 1.0], [2.0, 1.0, 4.0]])\n", + "μ = -np.diag(Σ) / 2 # Create mean-one lognormal\n", + "\n", + "X = HARK.distributions.MVLogNormal(mu=μ, Sigma=Σ)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Use direct integral solution to test the expected value." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.0000000002309708\n", + "1.0000000000008682\n", + "0.9999999999848911\n", + "CPU times: total: 828 ms\n", + "Wall time: 3.34 s\n" + ] + } + ], + "source": [ + "%%time\n", + "f1 = lambda x: X._marginal(x, 1)\n", + "f2 = lambda x: X._marginal(x, 2)\n", + "f3 = lambda x: X._marginal(x, 3)\n", + "\n", + "μ_1 = integrate.quad(lambda x: x * f1(x), 0, np.inf)[0]\n", + "μ_2 = integrate.quad(lambda x: x * f2(x), 0, np.inf)[0]\n", + "μ_3 = integrate.quad(lambda x: x * f3(x), 0, np.inf)[0]\n", + "\n", + "print(μ_1)\n", + "print(μ_2)\n", + "print(μ_3)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We now use the multivariate discretization tool to provide an approximation of the expected value. Note the improved time performance." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: total: 0 ns\n", + "Wall time: 106 ms\n" + ] }, - "nbformat": 4, - "nbformat_minor": 4 + { + "data": { + "text/plain": [ + "array([1., 1., 1.])" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%time\n", + "N = 10\n", + "\n", + "X_approx = X._approx_equiprobable(N)\n", + "\n", + "X_approx.expected()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can look at the atoms of the discretized distribution. Note, there are 1000 $(10^3)$ of them, owing to the dimension of the distribution." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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RUP+exAtBEET+kFghCKJotCr7SicSiWB2dhaiKKK/vx8Oh0OLpdYUlc6snITdbofdbkdbWxsYYxniZXl5GZIkwePxqOLF5XJVZUCfS7woGUgl85ItXhS3MYIgCCIFiRWCIIqi0NkpJ8EYw8rKCsbGxuD3+5FMJisqVKo9YDRSZuU4OI6Dw+GAw+FAe3s7GGPY399X3cYWFxfBGMsYUFlXV1eV34/Sz6KQLl5yZV7S3cYIgiBqFRIrBEEURPrsFMaYJkJFFEWMjIxge3sbN27cQDKZxMLCgkYrJqoJjuNQV1eHuro6dHR0gDGGSCSiZl7m5ubAcZwqXiRJqhphlk0+4oXn+UMN+yReCIKoJUisEASRN7IsQxRFTcu+wuEwAoEA7HY7+vv7YbVasb6+bogAtFqDwmpddy44joPL5YLL5UJXVxdkWVbFy/b2NiKRCCYnJ7G9va027Dscjqo8B+niRbn+s8XL/v4+nE4nHA4HiReCIGoCEisEQZxI+o4vY0yTIXiMMSwsLGBqagq9vb3o6elRP/O4CfZEfpzW88fzPNxuN9xuN86cOYMXX3xRHVa5sbGBqakpmEwmtWTM5/PBbrdXeNWFo9wL2eJlamoKbW1taGxsVDMv2Q37JF4IgjhNkFghCOJYspvotRAqiUQCQ0ND2Nvbw+3bt+Hz+TL+Pn3OClE4tRasOhwONDc3o6enB5IkYXd3V3Uam5iYgNVqzeh5sdlslV5ywaQLeaURH0hlXhKJBBKJBIDcVsm1dj0QBHG6ILFCEMSRaDk7RWF7exuDg4Pwer3o7++H2Ww+9DOUWSGKRRAEVZQAKSOInZ0d7OzsYGVlBePj47DZbBmZF4vFUuFV5092ZjM986L8F4/HSbwQBHFqILFCEMQh9JidIssyZmZmMD8/j4sXL6Kzs/PIz+R5nsRKidD5SyEIAurr69VSMVEUVaexhYUFjIyMwOFwZIiXXALaKBz1vWYLmGzxEo/H1bIxs9msihetNiEIgiD0gsQKQRAZ6DE7JRaLIRAIIJFI4O7du3C5XMf+PGVWSqPWgs9CjtdkMqGhoQENDQ0AgGQyqYqXubk5DA8Po66uTm3W93q9hhMv+RzvceIlFoupP0PihSAIo0NihSAIFaX+XctJ9JubmxgaGkJTUxNu3bql1tofB4kVolyYzWY0NjaisbERQKqfKhQKYWdnBzMzM4hGo3C5XGrWxePx5HUN64VSBlYo+YoXpR+GxAtBEEaBxApBEGrZ18TEBJxOJ1paWjQp+5qYmMDy8jKuXr2Ktra2vP8tiZXSofNXHBaLBc3NzWhubgYAxONxdcbLxMQE4vH4IfGSPitFb7T6Xo8SL7Isq+KF5/lDPS8kXgiCKDckVgiixkkv+9rb29OkAXd/fx+BQAAA0NfXB6fTWdC/Jzew0qBgUjusVitaWlrQ0tICADg4OFDLxsbGxpBIJODxeNSyMY/HA57ndV2THt/vUeJFkiRIkoRYLEbihSCIikBihSBqlFyzU7RobF9dXcXIyAg6Oztx4cKFogI3arAn8qXc14ndbofdbkdraysYYzg4OFAzLysrKxBFURUvPp8PLpdLU/FSbBlYoSjiRVl7tnjJbthXyse0sDYnCIJIh8QKQdQgjDGIoghRFAFkBibFZjREUcTo6Ci2trbwxBNPoKmpqej1URlY6dD50x+O4+BwOOBwONDe3g7GGKLRqCpeFhcXwRhTZ7x4vV64XK6SgvlKfa/HiRdRFNW/z+55IfFCEESpkFghiBpDyaYooiR917dYkbC7u4tAIACLxYL+/v6Sh+6RWCkNCg4rA8dxcDqdcDqd6OjoAGMMkUhELRubn58HgIwBlU6ns+Dvywjf71HiRRRFJJPJDPGiZF6UsjGCIIhCILFCEDVCetnXUW5fhWZWGGNYXFzE5OQkenp60Nvbq0kgRWKFKAQjBO+54DgOLpcLLpcLnZ2dYIxhb28PoVAI29vbmJ2dBc/zGeLF4XAcezxGvS9IvBAEoRckVgiiBsh3dkohIiGRSGB4eBjhcBi3bt2C3+/XbL3KOspVn38aMWpQW8twHAe32w23240zZ85AlmVVvGxtbWF6ehomk0kVLl6vF3a7PeMeqJZ74iTxAuBQsz6JF4IgckFihSBOOUo2RZKkE5178nXhCoVCCAQCcLlc6O/vh8Vi0XLJVRGMGRk6f9UBz/PweDzweDzo7u6GLMsIh8MIhUJYW1vDxMQELBaLKl58Ph+A6vx+jxIvyWQSiURC/XsSLwRBZENihSBOKUrzq+L2lY/FKM/zavblqM+cnZ3F7Owszp8/jzNnzuhmo6r8vmoMzIwAZVaqD57nM0SJJEmqeFlZWcH4+DgYY1hYWEBTUxN8Ph+sVmuFV10cucSLsrGiZF6yxYviNkYQRG1BYoUgTiH5ln1lc1xmJRaLYXBwELFYDE8++SQ8Ho+ma85eBwC1t4YgjuI0izJBEOD3+9USS1EU8Z3vfAeCIGBpaQmjo6NwOBwZZWNaZznLhdLPopAuXp5//nlcunQJDodDFS/pbmMEQZxuSKwQxClDyaYc1UR/HEfNN9na2sLQ0BAaGhpw8+ZNmEz6PjrSd1uJwqEA7nRiMpnA8zy6urrgcrmQTCZVp7G5uTns7+/D6XRmiBez2VzpZRdFuniJRqPqNZ1eNsbz/KGGfbr2CeL0QWKFIE4J2bNTipksnZ1ZkWUZU1NTWFxcxJUrV9De3q7pmo9bB0BipRTo3J1O0ksjzWYzGhsb0djYCCBleqGIl5mZGUSjUbhcLlW4eL1e3Tca9EDZeDkq85IuXrJ7Xki8EET1U31PLYIgDpE9O6XYQWzpmZVoNIpAIABZlnHv3j3U1dVpuubjILFCFEItBaTH3RMWiwVNTU3qQNZ4PK4OqJyamkIsFlPFi8/ng8fjyRAARiVX71p65kU5J7IsI5FIIB6Pk3ghiFMEiRWCqGLymZ1SCIpl8NraGkZGRtDW1oaLFy+WPaAhsVIaFJCdbvL9fq1WK1paWtDS0gIg1XemiJexsTEkEgm43e4M8WK0HjHlGXDcupTzQeKFIE4nJFYIokopton+JBT3occeewzNzc0lf14xGEWsVHMgU+lzR+hDKQ55NpsNra2taG1tBWMMBwcHatnY6uoqRFGEx+NRxYvL5aq4eFGu40KOOZd4Uf6Lx+NIJBIAcs95qeZ7niBOKyRWCKIKKWR2Sr7s7e1hdnYWkiShv78fdrtdg5UWj1Gm2JN9MmEktLonOI6Dw+GAw+FAW1sbGGOIRqNq5mVpaQmyLB8SL+W+F4oRK9mkl8UKgnBIvKRnXpRmfcXMgO59gqg8JFYIoopQZqeIoqhJ2ZfymcvLyxgfH0d9fT0SiUTFhQqQ/4BKPalWoVKNay4WIwjacqPXbCOn0wmn04mOjg4wxrC/v6+Kl4WFBQCA1+tVG/br6up0v9bS+/C04jjxEovF1J9RxIuSeSHxQhCVgcQKQVQJepR9JZNJjIyMIBQK4ebNm0gkEmpQUmmMklmpVujcnU7K9b1yHIe6ujrU1dWhs7MTjDHs7e1hZ2cHwWAQs7Oz4HleFS8+nw8Oh0PzYF6LzMpJ5CtelIwLiReCKC8kVgiiCihldspR7OzsIBAIwOl0oq+vD1arFevr6xXPZigcNfOlXMRiMaysrMDtdhuy8fg4KIA6nZQjcD8KjuPgdrvhdrvR1dUFWZaxt7eHUCiEra0tTE9Pw2QyZYgXu92uSeZX+f3l4ijxIsuyKl54nj/U80LihSD0gcQKQRiY9NkpjDHNyr7m5+cxPT2Nc+fOobu7W/3MSguEdCqZWdna2sLg4CAcDgcWFxchSZIahPn9/rKUvxD5U2vfhRGOl+d5eDweeDwedHd3Q5ZlhMNh7OzsYGNjA5OTk7BYLBkDKospL62kQFM4TrzE43HEYjESLwShIyRWCMKgyLIMURQ1LfuKx+MYGhrC/v4+7ty5A6/Xm/H3RugTUaiEWJFlGdPT01hYWMDly5fR0NAAABmNx/Pz8+A4Tg3C/H6/JjvIWmMU0UlohxEC96PgeV69J3p6eiBJkuosuLKygvHxcVitVvVnfD4frFbriZ+r9I0Z6Ziz16OIF0mSIEnSkVbJJF4IojhIrBCEwUifnaLli3p7exuDg4Pw+Xzo6+uD2Ww+9DO1nFmJxWIIBAJIJpO4d+8enE6nGnSk1+6nl79sbm5ienoaZrM5Q7zkE4TpCQVEpxOj3Jv5IAgC/H4//H4/AEAURVW8LC0tYXR0FA6HQ826+Hw+WCyWQ58jy7Lhr2flGa2UiqaLF1EU1b/P7nkxmggjCKNCYoUgDER62RdQ/CT6dNKzBZcuXUJHR8eRn1mrmZUHDx5gcHAQDQ0NuHXrFkwm05FOYNnlL9k7yGNjY2oQpvyXSxjqTTUFtkRhVGOAazKZUF9fj/r6egApc4+dnR3s7OxgYWEBIyMjcDqdGWVjZrO5Kh35jhIvoigimUySeCGIAiGxQhAGQY/ZKQcHBwgEAhBFEXfv3oXL5Tr252sts8IYw/T0NObn53H58mV0dHQU/BnZO8hKEBYKhTA3N4fh4WG4XK6MIEwZVkeUjlGu13Jg5DKwQjGbzWhsbERjYyMAIJFIqPfNzMwMotEo6urq4HQ61UDfZKrOkKUQ8aLMeVHKxgiCILFCEBVHj9kpALCxsYHh4WE0Nzfj8uXLeQXIRrIL1jvLE4/HEQgEEI/H8xJy+ZIdhMXjcbXfZXx8HIlEQh205/f7dZkSfhqCWeIwRrk39cBisaCpqQlNTU0AUveN0qwvyzK+/e1vZ4h+j8dTtaL/JPECPOpZVDY3SLwQtQyJFYKoIIwx7OzsQJIkOJ1OTYSKJEmYmJjA6uoqrl69itbW1rz/Lc/zNVEGtr29jUAggPr6ety8eVPXHVur1YqWlha0tLSAMYaDgwNVvCwvL0OW5Qy7V62cxk5zYFvr1IIYtVqtaG5uhs1mw97eHm7duqXeN2NjY0gkEnC73ep943a7T5V4CQaDmJycxO3btwHgULM+iReiliCxQhAVQpZldQgjYwxXrlwp+TMjkQgCgQB4nkdfXx8cDkdB/95ImRU9StIYY5iZmcHc3NyJ/Tt6wHEcHA4HHA4H2tvbwRhDJBJRg7C5ubkMV6ViZ1UY6XssB7UQvAO1KUCVBnubzYbW1la0traqwxqV+2Z1dRWiKMLj8ajC3+12V20wn24lr/TtKGXCSuaF4zgSL0TNQGKFIMqMUvaluH0JgoBEIlHyZyrN3V1dXTh//nxRL67TnFmJx+MYHBzEwcGBpmVfpcBxHFwuF1wulzpob3d3F6FQSJ1VUYzdK3E6OU09K/mSq8Ge4zjY7XbY7Xa0tbWBMYZoNKr2vCgZS6XcUslYVlMwr5QEA1D7WRTSxUsikVAzM+nixWQy1dR1QpxuSKwQRBlhjKlN9MCjKcilBOWiKGJ0dBQPHjzA9evX1V6JYlAEghEceLQUK+m2zTdu3DBsoy7P8/B6vfB6veqsCiUAU+xe0x2TfD7fkcdSi7vwtUKl781yks+ziOM4OJ1OOJ1ONWO5v7+vZl6U7LUe5ZZ6cZxlcz7ihef5Qw37Rj5egjgOY76xCeKUcdzslFKyGeFwGIFAAHa7HX19fbDZbCWtU1nTaRErjDHMzs5idnYWFy9eRGdnZ8WPqxAEQThk96oEYDMzMzg4OMjZdFxNx0jkTy0KUMZYwRmR7NlIucot0we7er1eOJ1OQ9036ZmVk8hXvGSXjRnpeAniOEisEITOnDQ7pRixwhjDwsICpqamcPbsWZw9e1aTF096g2elKdUNLJFIIBAI4ODgAE899RTcbreGq6sMZrM5wzEpvW5/bGwMyWQSHo8HjDGYzeaCAp5qxQjXarmgMrDiyFVuqQx23drawvT0NEwmU0bmpZheMS0pRqQppIsX5ZpReiSVQbckXohqgsQKQeiIsrulBN25Xj6FipVEIoGhoSHs7e3h9u3b8Pl8mq1XWZ8syxV31iklsxIMBhEIBAxf9lUq2U3H0WhUrdkPh8P49re/nVEyZrTdY6Jwau370yPLmz3YNbtXbGpqCmaz+ZB4KSdabTQo547EC1HNnM43OEFUmPQ0/EmzUwrJIChBuNfrRV9fHywWi5bLzigDqzTF9PJUe9lXKaTX7StBSEdHB4LBILa3tzEzMwOTyXTIaYyoHoxQnllujuvd0IpcvWLhcBg7OztYW1vDxMRE2Y0u9Dru48RLPB5XzV5IvBBGgsQKQWhMrib64x7y+QTl6Za7egbhymcawRGs0MxKIpHA4OAg9vf38eSTT8Lj8ZR9DUZDKX05c+YMZFlGOBxGKBTKCMD8fr8agGktfstFrQRR1XwtFkslBJogCPD7/fD7/QBSJibKvaMYXdjt9gzxovW9U64SznTxIgiCarDCGEM8Hs/IvCjN+iaTSbPhxQSRDyRWCEJDlGyKJEl5P8xPKgOLxWIIBAJIJBK6914YKbNSiFAIhUIIBALweDzo6+uD2WzWeXXVR/r8FiAVgClOYwsLCxgZGUFdXV1G0/FpLZ+rZmotQDRCNslkMmUYXeS6d9Jd+rxeb8nPoFJ6VkohvacyW7zEYjH1ZxTxomReSLwQekJvIoLQgOzZKYU8uI8TK5ubmxgaGkJTUxNu3bqle/CovKiqJbPCGMPc3BxmZmZw4cIFdHV10QsT+QW0JpMJDQ0NaGhoAJDKTO3s7CAYDGJqagqxWAwul0vNvHg8HkM26xtBWJeLWjpWhUoF7ceRfe8oLn07OzuYnZ3F/v5+ycK/HOVv+UDihTACJFYIokQKLfvKJpdYkWUZExMTWF5extWrV9HW1qbpmk9ajxGCopPEimI0EIlENCv7Ok0U+h1aLJYMp7GDg4OcE8IV8eJyuSgYKTNGyDKUm2o45myXvkQiod476cJfadj3er0nGpgY1ckvX/GilIuReCG0gMQKQZSAkk05qYn+OLIzGfv7+wgEAgCAvr4+OJ1Ozdab73qMLlZ2dnYwMDAAt9tNZV86kWtCeDAYVEtfAGTU7DscDgpGykCtneNqECvZWCwWNDc3o7m5GQAQj8dV8TIxMYF4PA63263eO263+5B4MWJGKRdHiRelYT8Wi6nDj0m8EMVCYoUgiiB7dkopD970TMbq6ipGRkbQ0dGBixcvVuRlVcqQSi3JVY7GGMP8/Dymp6dx/vx5nDlzhl54OdD6nKQ7jXV2dkKWZUQiEQSDwYw5FT6fT828lDqglDiMETYRyo1RyqFKwWq1oqWlBS0tLQAys5Zra2tIJpOHxIsR7OOLIXuOmCJeJEmCJElHWiWTeCGOg8QKQRRI9uyU7IdzofA8D0mSMDQ0hM3NTTzxxBNqOUElMGpmJZlMYmhoCLu7u7hz5w68Xm/lFlcF6Pkd8jwPt9sNt9uN7u5uSJKE3d1dBINBrKysYHx8HDabLcNpjLJf2lBrAV01ZlZOIjtrmS5elpeXIUkSTCYTnE4nwuEwXC5XVWRZcqG8H9MHDiviRRRF9e+VsjHl/5b6XiVOFyRWCCJPCpmdUggHBwdIJBKIRqPo7++v+I60URrs0zNOStmXy+XSZb4MURqCIOR0GgsGg5ibm8Pw8DDq6upU8ZJPzX4h1EpQcxoD95M47cfMcRwcDgccDgfa29vBGMP+/j5GR0eRSCQQCATAGMsYUFlXV1e15+Qo8SKKIpLJJDiOw+7uLmw2G9xutypgSLzUNiRWCCIPSm2iP+ozl5aWMD4+Do7j8OSTTxriYWykBntZljE/P4+pqSmcO3cO3d3dhjhHRqfS5yiX05jS75Jds+/3++F2u6t257icGOG+LDfV0ruhFRzHoa6uDna7HV6vFx0dHYhEImrmZW5uDhzHZYgXp9NZ8Xu+WHKJl8XFRfj9fpjN5ozMizLnRSkbI2oHEisEcQLFzE45iWQyieHhYezs7ODq1asYGRkxzMvGKD0rsizjwYMHYIzh9u3b6q59uanWnV0jBbYWiyVnzb5SNibLcobTWCE7x0Y6Tr2p1muxFGrxmIFHvTocx6nDXbu6utR+sVAohO3tbczMzGRkNr1eb1WbXSjlvyaTCWaz+VDmBcChfhcSL6cfEisEcQTpdbValn0pAwxdLhf6+/shSRJkWTbMS9kIPSvhcBhra2swmUxU9lUERriOjiO7Zn9/f18VL3Nzc+B5Hl6vVxUvdrvd8MdULmrtPJyGBvtiOMq6OL1f7MyZM5BlGbu7uwiFQtjY2MDU1JRqdqH8Z7fbK3AExSNJklomelTZWDKZRCKRAEDipRYgsUIQOdCr7Gt2dhazs7MZTlbxeFz9eyO8lCvZs6KUAExOTsLj8cDhcJBQOeUoZS91dXWq09je3h6CwSA2NjYwOTkJi8WS4TRmtVorveyKYJRnRDmpxWMG8i9/U4S91+tFT0+PanahOI1NTEzAarVmlI1Vui/yJI6bMZNLvCjVD4lEQv17Ei+nCxIrBJGFFrNTsonH4xgcHMTBwcGhAYbKQ9QoQ8Aq1bOSXhp3+/ZtPHjwQBVyROFUOjtWLDzPw+PxwOPxqMFXOBxGKBTC0tISRkdH4XA4VPFSS8FstX6npVBrPSsKxb4Pss0uJEnCzs4OdnZ2Mpz60jMvRtsQKuTYlX4WhXTxopSNZYsXxW2MqB5IrBDEQ9JnpygvSC0eaFtbWxgaGkJ9fT1u3LgBkynztlN+hxH6RIDKZFbC4TAGBgbgdDrR398Pi8WC7e1tw5yTauM0vYgFQYDf74ff70dvby+SySR2dnYQCoUwMzODRCKBsbExNDQ0wO/3w+PxVOV8inw5Td9tPtSyWNHiuxYEAfX19aivrwfwyKlPGe46MjICp9OZkXmptM14KRt3x4kXJfPC87wqWtLdxgjjQmKFIJB6OIqiqGnZlyzLmJqawuLiIi5fvoz29vacn5mezjYC5cysKI5oExMT6O3tRU9Pj3qOjNA7QxgPs9mMxsZGNDY2AgCeeeYZNDU1IRaLYWxsDIlEAh6PR828VPOMimxq8X6opcxZOnqJtGynvnTxn24znt6wn73BpjfpPSulkq94yS4bq8VrzsiQWCFqmvQHl/JS1OIhFY1GEQgEIMsy7t27h7q6uiN/tlYzK6IoYnh4GKFQCLdu3YLf78/4e6NYKFcrtXLuOI5DfX09PB5PzgF7siyru8Z+v7+qbV5rMXCnBnt9yRb/iUQCoVAIOzs7mJ6eRjQahcvlUsWLx+PRXbzoeezp4kV5RsqyjEQigXg8TuLFoJBYIWqW9LIvoPRJ9Arr6+sYHh5GW1sbLl68eOIOkfJwNIpYKYdI2N3dxcDAAOx2O/r6+nI2TFc6s1LNL6dqXnuhpF8juQbsZc+o4HleDbz8fn/VOSXV0ncL1KZAAyrXw2ixWNDc3Izm5mYAqX5L5f5Jn5GkbADoUXZZrmNXrisSL8aHxApRk+gxO0WSJIyPj2NtbQ3Xrl1TZ0rkg5HEip4iIb3s6+zZszh79uyR577SYkVZA1G95JpRoTglra+vY3JyElarNUO8GK3ZOJ1K3w+VoJbFihGO22q1HpqRpJSNZZdd+ny+kge8Kjb+leg7O068xOPxY62SjfBdnWZIrBA1BWMM8Xgcu7u7qKur00yo7O3tIRAIwGQyob+/v+Dd2kraBWej11pEUcTIyAiCwSBu3rypNnwet45aDM60gs7dYXLZvCqB1+LiIkZHR+F0OjOckspdr38StRYU1WqDvVGPW5mR1NraeqjscmVlBaIoZoiXQnvGlHePEY49XbwIgqDOeFHiiHTxYjab1Z8j8aI9xnoKE4SOKLNTlKGMr371qzWZnbK8vIzx8XGcOXMG586dK+oha6T+DD3Wsre3h/v37x9b9pUNiZXiqbUXZbHHm+2UpDwfFKexg4ODQ/X6lXQaq8UsQy0eM2AcK/vjyFV2GY1G1XtocXERjDG1ZMzr9cLlch37fRpJrGSTXiqeLV5isZj6M4p4UTIvWm2K1jIkVoiaQKlBlWUZgiBokmJPJpNqpuDGjRuqu0oxGKkMTMu1pIu5np4e9Pb25n3ejZRtqkZI6BWO2WxGU1MTmpqaAACxWEwNvEZHRzN2jRWnsXIGIbX4nRqlHKrcVONxcxwHp9MJp9OJjo4OtWcs3W2M47gMm+Rswwsji5VsSLyUDxIrxKmGMaYOeVTS6opYKQVlLojD4UB/f3/JE7WNJFa0ymiIoojR0VE8ePAgr7KvbIyQbaIXSm1js9nQ2tqqlrxk7xoDODbw0ppazDLU4jFXU8B+HOk9Y52dnWCMYW9vD6FQCNvb25idnVVLM5V7SMsZZ+UmX/GSPeOlWo+3nJBYIU4tStlX9uyUUoQBYwzz8/OYnp4+NBekFIwmVkpdy97eHgYGBmC1WosWc1QGVjz04tOeXLvG6YHXzMwMTCZTRr+LHk5jtfbd1qJYUZ571S5WsuE4Dm63G263G2fOnIEsy+o9tLW1henpaTXIX11dhdfrhd1ur9rv/yjxIsuyKl54nj/UsE/i5TAkVohTSXo2JduSWNmxL/QlGI/HMTQ0hP39fdy5cwder1ez9Rqp5KnUjMby8jLGxsbQ3d2Nc+fOFf3QNYJYqfTvL4VqXnshVOo4cwVe4XAYoVAIa2trmJiYgM1myxAvpTqN1cp3mo5RG8315LRkVk6C53l4PB54PB50d3dDlmWsrq5ienpavYcsFkvGPWSz2Sq97KI5SrxIkgRJkhCPxyFJEg4ODlBfX0/iJQ0SK8SpIp/ZKcoLQOlfyYft7W0MDg7C5/Ohr68PZrNZ03UboeRJgeM4NRtVCOllX6X28CjrMMo5qTZq/cVWCdLntwCp+0Gp1V9YWMDIyEjJk8FrNctQa8esiJVaO26e5+F0OmGxWHDr1i1IkqRuAKysrGB8fBw2my2jbKzUEuxKosQnSkzCGMPu7i7Gxsbw1FNPZcx5UdzGTCaTZjPhqgkSK8SpQZmdctKuVCFiRZZlzMzMYH5+HpcuXUJHR4cuDwkjlYEVI5wikQgGBgZgNpvR19enye4XiRWimjGZTGhoaFBFuzIZPBQKYWpqCrFYDG63O8NpLJ+d9FoLUkis1BaSJKnvZUEQ4Pf74ff7ATzaANjZ2cHS0hJGR0fhcDgyNgCMPCfpJJR3niJK0jMvoiiqIiW756UWxAuJFaLqUWpAFaFyUso0Xawcx8HBAQYHB5FMJnH37l24XC5N1529JqOIlUJL0lZWVjA6OlqSdfNR6yCxUjy1dO6q4UWdPRk8fT7F6uoqRFHM2DHO5TRWS9+pQjW6YpVKNTeZl8pxls3ZGwDJZDLDaWx/fx91dXUZVslaV0HoTbpYy5V5UapHkslkhnhJn/NyGssHSawQVc1RTfTHodzIx5U6bWxsYHh4GM3Nzbh8+bLusxWMJFbyzaxIkoTR0VFsbm7i+vXraGxs1HQdRurjqTZqMcipNpThem1tbWCMYX9/XxUv8/Pz4Dguo1bf4XAAqL3vtlYzK7V2zAqFzJcxm81obGxU3z2JREIVLzMzM4hGo4fmJBltyGs26WIlm1oWL8b+1gjiGJRsiiRJBe9CHWVfLEkSJiYmsLq6iqtXr6K1tVXLJR+JkbII+awlveyrv79fl6ZHI52TaoTOXfXAcRzq6upQV1eHzs7OnC5JZrNZLXGJxWJV3WhcCLUqVk5DgFkMpRy7xWLJmJMUj8fVDYDJyUnEYjFDDXnNxXFiJZuTxAuAQ05j1SpeSKwQVUd6DWc+ZV+5yJXJiEQiCAQC4HkefX196k5mOTBSZuWkjMbq6ipGRkbQ1dWF8+fP6/bgM4LpQK0FSYQxyHZJUhqNFxYWsLe3h2effRZ2uz0j81Jt5S75UotuYLV4zAqFBOsnYbVa0dLSgpaWFgCZQ17HxsaQSCTg8XjUsrF8+8b0pBDjn2yOEi/JZBKJRAIcx+EHfuAH8D//5/9Ef3+/lsvWHRIrRFVRTNlXLrLFgdJ30dnZiQsXLpT9gWUksXKUSJAkCWNjY9jY2NCl7CsbyqwUTy2JrFq4RpRG40gkArPZjEuXLqlB19zcHIaHhzN2jL1er+F2jIulVjMrtXbMCnpmlbKHvB4cHKhlY0rfmMfjyegbK3csoFSKaEEu8TI3N1dxQVYMJFaIqkGZnVJsNiUdRRwodrtbW1tlCcBPWo8RyLWW/f19DAwMQBAE9PX16TLsLhsSK6VB5+70oQTuJpMpo1Y/vdxlYmIC8Xgcbrcbfr8fPp8Pbre7KgMUoDYDdyoD0//YOY6Dw+GAw+FQ+8ai0ah6Hy0tLUGW5UPiRe9rUcvMUi4UE4Jqg8QKYXiyZ6do4ZLC8zwikQiGh4dhs9l067vIFyM1k2eLhLW1NQwPD+te9nXSOipBtQZJ1bpu4niOuh/Sy10YY4jFYggGgwiFQlheXoYsyxlOY3V1dVVzjdRqZqWWxUolsoIcx8HpdMLpdKKjo+OQ6cXCwgIAZDiN6XEf6SlWZFkmsUIQepA9O0ULP3FF/IyPj6O3txdnz56t+MvQCP0ZCopwkiQJ4+PjWF9fxxNPPKE2LZZzHUY5J4SxqfT9Wy7yCdw5joPdbkd7ezva29vVoEsRL0oZSHq/i91uN+w5rEWxUus9K0Y49mzTC8YY9vb2sLOzg2AwiNnZWfA8n7EJ4HA4Sr5WJUnSbVZMNBoFABIrBKEVhc5OyZdEIoHh4WEkEgn09vait7dXg9WWDs/zqntHpeF5HqIo4rnnnlPNBspR9pUNiZXSoHN3Oin0OZgedHV1dalOY8FgEBsbG5icnITFYoHP51PLxow0FbwWA/daLH1TkGXZkGYRHMfB7XbD7XZn3Efpjn0mk0nNuhS7CaBnZmV/fx8AiRWC0AStmuizCQaDGBwcVB84lQjAj8JIPSs7OzuIRCLo7u6uiNmAglFK46ox6K/VQOe0o8W1mO401tPTA0mS1Cbj9KnginCp5GA9xc2o1q7nWi8Dq4Zjz3bsk2UZ4XAYOzs7hzYBlPson5hDz+Pf39+H2Ww21GZEvpBYIQxFKbNTjoIxhpmZGczNzeHChQvo6urCiy++aIhAWMEIYkWWZYyPj2NlZQU2mw2XLl2q6HqMkFmp9O8niHT0CNwFQUB9fT3q6+sBPJoKHgwGMwbrKeKlnLMplPuv1sRKLWaTFCrVs1Iq6aWVyiZAOBxGKBTCysoKxsfHYbVaM8ovc4kGvTMrTqezKu8nEiuEIdBidkouYrEYBgcHEYvF8NRTT8HtdgM4eihkpah0FiEajWJgYAAcx+HKlSuYmZmp2FoU0u0WK/FwZYxhdXUV0WgU9fX1FbGxLIVaEVq1cpwKet8L2VPB4/G42u+SPptCKRvT876oVbFSLdkFPTBKz0qpKHbjfr8fACCKoipe0jOY6ZkXi8Wiq1iJRCJlnR+nJSRWiIqjV9nX1tYWBgcH0djYiJs3b8JkenS5GyGTkU4lG+zX19cxPDyM9vZ2XLx4ETs7O4YIAJVroBJiRRRFjIyMYHt7G263G8vLywCgvlj8fr+hm5KNui6iNCpxX1qt1kOzKRTxsrS0BMYYvF6vmnnRcue2lsVKrR2zwmkVaiaTKWcGc2dnB/Pz84hEInA6nYjH44hEIroMeq1WJzCAxApRYbScnaIgyzImJyextLSEK1euoL29/dDPGFGslHs9sixjYmICKysruHbtmjrl1wjlV8o6gPIHaJFIBAMDAzCbzXjqqafA8zx4nlebkre2tjA1NQWLxaLunPl8Pt0cXAginUoGsemzKRR710gkglAohO3tbczMzEAQhIxm/VJ6A5V7/zQGr8dxWgP2fKiVY8/OYCYSCezs7GB0dBTr6+uYn5+Hy+XKsEpO33AtBioDI4gCSZ+dotTnanEDKeVMANDX1wen05nz52pdrESjUQQCATDG0NfXl5EaNsq5qYRYWV9fx9DQkDpTRumhSneC6e7uzmhKXlhYwMjICOrq6jKakitdd20EwVkuqvHlWwxGazbnOA4ulwsul0t1SNrd3UUwGMTa2homJiYy6vT9fn9Bor5WMyvUs1J9PSulYrFY0NTUhImJCTz22GOwWCzqO2ZqagqxWAwul0u9l4rpHVPESjVCYoUoO8rkeK3LvtbW1jAyMqKWMx33sDdKQK5QzvVsbGxgaGgIbW1tuHTp0qHzVIuZlfQs0+OPP47m5mb1z3OR3ZScSCQQCoUQDAYxPj6OZDJ5qK6/nAFXrQV3tYLRxEo2ytwJr9cL4FGdfjAYxOLiIkZHR+F0OtX74qTd4loVK7WSXcjFaelZKRbl+K1WK5qbm9V3USwWUwdUKr1jbrdbFS9ut/tE8UJihSDyIH12ivLS1eIlpAx43NjYwOOPP57X8EKe51WxZATK0WB/VNlXNkYRcuUSK7FYDAMDA5Ak6VCWKd/r02KxqC+W9Lp+JUgDoAZoSr8LQRRDNQXu2XX6SqlLrt1iv99/KOBKHwZcS1DPSm2KFSVGyiU6bDZbRu9YunhZXV2FKIrweDxq2Zjb7T50HiORCPWsEMRxpJd9AdpMogeAvb09DAwMwGKxFDS8UBAEdS1GQO8Ge6XsS5Zl3Lt379jdFaNlVvQUTtvb2wgEAmhsbMSVK1c0KT/IruvPNYTParVm9LvoMcfCCN8hoS1Gz6ychFLqomwoKQFXMBjEyMiIGnAp4kUQhKo+3mJhjNVkKRRQu2VgANQN1JOOn+M42O122O12tLW1gTGGaDSqbgQsLy9DlmUkEgl8+9vfxute9zrcu3ev7A32H/7wh/Gbv/mb+OVf/mX8wR/8QUmfRWKF0B29ZqcsLS1hYmIC3d3d6O3tLWg3xijZAwU917O5uYmhoSG0tLTg0qVLeT0IjXBu9MysMMYwOzuL2dlZXL58GR0dHZr/DoXsIXyiKKovlbm5OQwPD2s+x6KWArxaEmWn7Vizd4uj0agqXhYXF9WhkEtLS/D7/XA4HDVxbddydqGWy8DyFSvZcBwHp9MJp9OJ9vZ2MMawv7+PF154AS+99BI+8YlPqK59Z86cwcDAAB5//HFdz/MLL7yAj3/843j88cc1+TwSK4RuKLNTZmdn4Xa74fV6NXnRJJNJDA8PY2dnBzdv3lRLDAqhFsSK4oq2vLyMq1evorW1Ne+1AJXfxVWyb1oHaMlkEoODg4hEInjyySfh8XiOXYPWmEwmNDQ0oKGhAUBqjoUSoI2Ojqq7y0rmpa6uriYCNOJkKn1P6kl6wKU4jW1sbGB8fBwPHjzAzMwMTCZTRrO+zWar9LJ1gcrAalesaFF1wnEc6urq8JrXvAavec1rIIoinn/+efz6r/86NjY28MpXvhIWiwWvetWr8NrXvhavec1rcOXKFc2uuUgkgve85z34xCc+gf/23/6bJp9JYoXQhfTZKevr66qdZans7OxgYGAALpcL/f39RdvFGk2saJ3NODg4wMDAQF5lX7nWAhgjHa+1WAmHwxgYGEBdXR36+vp0Kb8qFKvVipaWFrS0tKi7y8oci/n5eXUycqFWsKdtF55IUStBrCJeBEHAjRs3IMuyOlRvdXUVExMTsNlsGc36p8U+vFYDdiWTVovHDjz63rW+x00mE/r6+nDhwgU8/vjj+NCHPoSXXnoJ3/jGN/CFL3wBv/7rvw6Xy4U3vvGN+PSnP13y7//gBz+It7zlLXj9619PYoUwLkqtpHLjaTEtnjGGubk5zMzM4Ny5c+ju7i7phjKaWNGyZ0Up+2pubsbly5cLFhzpmZVKo5VYYYxheXkZ4+Pj6O3tRU9PT97XT7ldvJTd5c7OTtUKNhQKqVawNptNzbp4vd6cgqtWAlqFWjleI9yT5SQ9k6SIdp/Ph7Nnzx4qp1Tq8dMngpc6l6JS1GrArryTK71JVin0nF4PpDYxnU4nzGYz7t69i7t37+I3f/M3EY/H8fzzz2NycrLkZ+nf/M3f4OWXX8YLL7yg0apTVOedTBgSpexLcftSdghKFSvxeByDg4OIRqMnlu3kixHFSqnrkWUZU1NTWFxcxNWrV9HW1lbU55SjsT1ftBArkiRhZGQEDx48KLpssFKkW8Gm97sEg0HMzMzg4OAgw03J4/EYSmwS2lMrwgw4vhwqu5wy3T58cnIS8Xg8w9o1/d4wOrWaWUkfZ1CL6C1WIpFIzioLq9WKV77ylXjlK19Z0ucvLS3hl3/5l/GVr3xF8xJNEiuEJqSXfQGZs1NKsQl+8OABBgcH4ff70d/fr9lOmdGsi0sVK4r9riiKuHfvXkmOH0YKdkstj9vf38fAwAAEQUBfX1/V17jn6ndRLJIVNyWfzwebzQZZlk91j0MtYoR7spwUcv2m24cDqV1kxdp1ZWUFkiSptq5G7wWr1Z4V5VlPYkUf9vf34XK5dPv8l156CZubm7h586b6Z5Ik4Vvf+hb+6I/+CPF4vOjjI7FClEx6NiVXc1gxmZX0LMHly5fR3t6u6cNbEARDvfgVsVJMcLm1tYXBwcGiy76yqcTk+KMopTxOGX6Zz5DQasVqtWa4Ke3v7yMYDGJzcxOJRALf+c53Mvpdql2s1Tq1Jj5LKYfKtnbd399Xxcv8/Dw4jlOzLj6fz1BOY7WaWVFEmlG+h3JTDrGi51DI173udRgaGsr4s5/6qZ/CpUuX8Bu/8RslHRuJFaJo8p2dUmgWQ5kJIklSyVmCo+A4zlCZlXSBkO+DWpZlTE9PY2FhAVeuXEF7e7tmazGSfXGhYiXdBe244ZenDcUBpq6uDm63G8PDw7h69aq6szw+Pg673a4KF5/PV7U1/ekYQVSXk1oK5LQSZ+n3htILtre3h1AohM3NTUxPT8NsNmc4jVmtVg2OoDhquWelVvtVAH1FqmLeouecFZfLhWvXrmX8mdPpRH19/aE/L5Tqf1MRFUGZnZJP2lYQhLyFwfr6OoaHh9Ha2prXTJBi0aLpX0sKLb2KxWIIBAJIJpO6CLpqFSvZ50XPXSQjowjO9IbkZDJ5qN9FqelXpofXYoBUTdRiZkWP402ffdTd3Q1JklSnsZWVFYyNjcHhcGRkXsrpHFirZWC1PGMFKE9mhSbYEzUBYyxDqORjs8fzPJLJ5LE/I0kSxsfHsba2VpbdcCM22AP57SwpfTyNjY24fPmyLrvjWrqTlUIhYiUYDGJgYAANDQ24devWqcgaaInZbEZjYyMaGxsBpISdYpE8NDQEWZbh9XpVpzEjlcUQKYxwT5aTcgXtgiCo1z0AVdhnD25NdxrTM6is5TKwqjjuSASmf/xHmL7xDSAWg3T3LsR3vAOsSFMbhdMoVp5++mlNPofe5kTeHNdEfxwnZVYikUhGE7TD4dBszUdhZLFyFIwxTE9PY35+Xvep63oMY9RrHYwxzM/PY3p6GhcvXkRnZycF2Tg5sLXZbGhra1Nr+iORCEKhELa3t9UBfEoA5/P5KloWcxK19H3X0rFWKpOULeyVwa2hUAjj4+NIJBLweDyqeNE6K1k1QbvGVMVxx+Ow/D//D0zf+Q6YzQYIAsx/9VcQnn8e8Q9/GCzP4cu50FOsSJKEg4MDyqwQpxslm6KkaQt5gRwlDBhjasq9q6sL58+fL9uDymhi5SS74FgshsHBQcTjcdy9e1dXRw/AOOfnJLGSTCYxNDSE3d1dzWytTwOFBngcx8HlcsHlcqGrqwuSJGF3dxfBYBBLS0sYHR2F0+lUhUs1z7CoZqgMrDJkD25NdxpbXl5Ws5KKeCnVaYx6VoyL8OyzMD33HOSODuDhxiqTJPBTUzD90z8h+YEPFP3ZeoqV/f19ACCxQpxOlNkpoigWPV01V2ZFFEWMjIxge3sbN27cUK1Yy4VRgnGF45rat7e3EQgE0NDQgJs3b5YlSKyGzMru7i4GBgbgcDjQ19d3aqZXGwFBENTAq7e3F8lkUp1hMTU1hVgsBrfbrWZeXC5XTQZX5cYI92Q5MWLQznEcHA4HHA4H2tvbM7KSStlY+gBLn88Hu91e0HuTelaMCz82BoiiKlQAAIIA5nSCf/FFoESxolcGm8QKcWoptuwrm2w3sHA4jEAgALvdjv7+/oqUlyg9GUZKO2f3iWSXfWlt33zSWowg5o4ScMvLyxgbG0NPTw96e3tr8sV+EloGtmazGU1NTWhqagKQmmGh9LssLS2BMZZhkUz9LvpglExDuaiG483OSsqyjN3dXYRCIWxsbGBychIWiyXDhe+kd56R3kvlpCqOW/nuGAPSr81kEijR0EXP49/f34fVai2rUYSWkFghcqLMTik2m5KO4ryV3lvQ29uLnp6eir2I0ntEjPJwTBcI8XgcgUCgbGVf2Rg1syJJEsbGxrCxsVGRjFy1oPd9Zbfb0d7eru4sKzawW1tbqg2sEpz5/X5ds15GuE4JfajGDAPP8/B6vfB6vejp6YEkSWqzfnpJZXqzfnYAacSMUjkw0vv4KKS7d2H6278Ft7EB1tycEiy7u+BkGdKrX13aZ+tcBuZ0OqvuflIgsUJkkD07pVShonyGKIp4+eWXsbe3h9u3b8Pn82mx3KJRHghGyB4oKGJle3sbg4OD8Pv9ZSv7ysYo1sXp2aZoNIqBgQFwHIe+vj7Y7fYKr87YlCuI5zgObrcbbrcbZ86cUW1g0/td6urqVOGit5PSaaYaMg1achqOVxAE1NfXo76+HgDUkspQKISZmRlEo1HVQlxp1q9lsWL0Z4N8+TKS73sfzH/xF+AnJwGOA7NYIL7xjRC///tL+mw9xUokEimLeZFekFghVLJnp2g1SXZ/f18dRtTf32+INGQ+7lvlhuM4LC0tYX19HZcuXUJHR0dFM09G2LFWMiubm5sYHBxEW1sbLl26VJMv8kKoZICXbQObSCTUfpeJiQnE43F4PJ6MfpdqD0jLSS2dq9MgVrLJLqmMxWKqeBkbG0MikQCQKnVtaGioqX6wauhZAcdB/PEfh3TnDoTnnweXSEC6dg3yzZtAiUJD78xKqcYPlYTEClHU7JR8kGUZMzMzmJubgyAIuH79umFuFCNNaQdSZV+JRAIPHjzAU089BbfbXdH1GKUMDEgNCg0Gg7h27RpaS7CFJCqDxWJBc3MzmpubM5yUgsEgFhcXASCj36XQZmSgdgJ4o9yT5aIWMgw2mw2tra1obW1VSypffPFF7O/vY2VlRe0HU/6r5lKek6iGMjAAqWzK+fMQz5/X9GPLUQZWrZBYqXG0aqLPRpkknkgk8Nhjj2F0dNRwD1ijNJEHg0EEAgHwPI/Lly9XXKgAxjg38Xgce3t74Hke9+7dq1oXk0phxMA2l5PS3t4egsGg2oxstVozxAu5vD3iNGYajqMae1ZKgeM42Gw2AMC1a9fAcRwikQiCwWDG/KNsp7HTQjWUgemJnpklEitE1VLK7JTj2NzcxNDQEJqbm3Hr1i3EYrGKB765qHRAzhjD7OwsZmdncfHiRSwtLRnmxVzprFMoFMLAwAB4nkdPTw8JlQIxynV0Eun9Lt3d3WozcjAYxMLCAkZGRtTJ4X6/Hx6Pp6aDGaB6vlstqDVxBuBQGbbiNHbmzBnIsoxwOIxQKIS1tTVMTEycKnEvy3JNz2/SU6yRWCGqDi1mp+RClmVMTExgZWUFV65cQVtbG4BH1sVGe/FkWyqXk0QigcHBQUSjUbXsa3V11TCirlI9K4wxLCwsYGpqChcuXMCDBw/KvgaicmQ3IycSCdUieWxsDMlkMqPfpdZErNGeoXpzao+XMUCSUj0OWcenZJNyHXf6/BYgNa9McRpTxH01D2+VJKmqxVaplKNnpVqpnquY0AS9yr729/cRCAQAAH19fRmuE8rNZ7QXT6UyK0rWwOv14t69e6rhQKWzGelUomdFFEUMDQ0hHA7jzp078Hq9CAaDhixnqgZOw3mzWCwZk8Oj0aja7zI/P6+WTGxsbKCpqelUlcTk4jR8p4VgtHdGySSTMH35yxC+8hVwoRDk3l6Ib3kL5Nu31R8ppE/HZDKhoaFBtXBPJBJqZlIZ3upyuVTx4vF4DN0TUjU9KzqgbCKTWMkNiZUaQsvZKemsrKxgdHQUnZ2duHDhwqGHjXLzGc3pQ5n/Ui4YY5ibm8PMzAwuXLiArq6ujO+g0mVp6ZR7LXt7e7h//z7sdnvGNHojNfpXE6cqwHsIx3FwOp1wOp3o6OhQh++9/PLL2NrawuzsLGw2W8bwPSM4D2rNafxuj+K0Ndib//zPYfr858HMZsDphPDcc+BHR5H8j/8R0t27AEoL2C0Wy6HhrYrT2OrqKkRRhMfjUcvGjObEV8s9K8r7Vk+xQtbFhKFJn52iPPy1eECJoojR0VFsbW3h+vXraGxszPlzRrQJBsobkCcSCQwNDSESieDJJ5+Ex+PJuR6jBOblFAmrq6sYGRlBd3c3zp07d0jAGeWcEMaC53n1PnrssccgCIK6qzw3N4fh4WF1V1npd6n2wPfUZRpO4DSJFW55GcJXvgLm84E9fFeypibwk5Mwfe5zkJ58Enj4TtLqO7bb7bDb7Whra1Mzk0pZpeLE5/V6VYHvcDgqen0ZbUOznJRDrFSzmyaJlVOOLMsQRVHzsq/d3V0MDAzAZrOhv79fdTDJhfI7K9UfchTlEiuhUAiBQAAejwd9fX1H7vbWWmZFlmWMjY1hfX39SLFrhMxKtQaHlT5v5Sa7JCYej6uB2cjICERRzAjMqnHmQK19p6dJnPGzs+B2dyFfvJjx53JjI7jFRXDBIFhDg26lUOmZyc7OTsiyrDqNbW1tYXp6WnUaU+6R497relDLZWDpMZoeUBkYYUjSZ6coD3wtHvqMMSwuLmJychI9PT3o7e3N63ONFIgr6L0mxhjm5+cxPT2N8+fP48yZM8eeKyOdI71FwsHBAQYGBsAYw717945MTxtBrADVFzRV01r1wmq1Zsyv2N/fV/td5ubmwPO8GpT5/f6yB2bFUkvf7WmyLmYOR6qhPpEArFb1z7l4HLBYwB5ef+XKJvE8f8iJb3d3F8FgECsrKxgfH4fNZlPvD6/Xq3vze62LFS3L87NRBnNXKyRWTiHpZV+AdpPoE4kEhoeHsbu7i1u3bqkTqvOhks5bR6GnOFDKvvb29tRm8ZMwWoO9XmvZ2trC4OAgWlpacPny5WNfTkYQK9UmVGqJfK8NjuNQV1eHuro6dVdZCcwUC1i73Z6xq2xEF6VK3wvl5jTde/K1a5C7u8HPzEDu7QXMZmB/H9z2NsR3vQt4GEhWSqAJgpDTaUwR98rOfLqNuNb3SC33rOjZXA8AkUiErIsJ45A+O4XjOM12KZRSJrfbndEAnS/lbmbPB70E1M7ODgYGBuB2u9Hf3593k6+R+jP0WAtjDNPT05ifn8eVK1fQ3t5+4r8xglipVui8HQ3P8/B6veomgiiKaiPyzMwMDg4ODOmidJqC93w48nglCdzcHLhkEvKZM0A1NA7bbEh+8IMw/8EfgJ+dTdkXm82Q7t5F8t3vVn/MKNmFXE5jSlnlxMQE4vE43G63Kl7cbnfJ667lnhW9xcr+/j5cLpdun683JFZOCYwxxONxhEIh9cWqVdmXMrgwn1KmozBqZkXLgC697OvcuXPo7u4u6FwZrQxMy7UkEgkEAgEcHBzg7t27eT80jZRtqiZqKaDVApPJhMbGRrVvKhaLqSVjKysrkGU5o9/F6XRW7BzX0nebqySKm5qC5VOfAjc9DU6SIDc3Q3znOyG95jWHZpYYDfnyZcR/7/cgvPwyuHAYcns75CeeANIyFEYRK9mk24gDj5zGlHtEkiR4vV5VvBTTE2bUYy8H5RArlFkhKooyO2Vvbw8vvfQSXv/612vyQovFYhgcHEQsFjvSwSpfTntmJZlMYmhoCLu7u3mXfeVaj1HOkZbnRsk0KQYDhZQOkFgh8kHrAN5msx3qdwkGg9je3sbMzExGI7Lf74c1rQdBT2o+sxIMwvLRj4JfXITc2QlmMoFbW4P5E58A8/kg37hRucXmi8sF6VWvOvKvq+U7znYaS+8Jm5+fB8dxalmZ3++H3W4/8bhqWazoWQKnOMFRzwpRMWRZRiKRgCzLMJlMmgWYW1tbGBoaQkNDA27evFlybaoRMytaCSglGHe5XEWVyCnwPI9kMlnyerRAC5GQbsZQTKZJWUcly5mqIWjIhbLuagl8jEx6v0tXVxdkWUY4HFZ3lMfGxuB0OjMakfXqd6m10r7s/g3hhRfALyykHLWUYcM9PeDHxyF8/evVIVZOoBoD9lw9YXt7ewgGg9jc3MTU1BQsFkuGeMkl8Gu9Z0XP750yK0RFUKadKm5fPM+rL8hSbnhZljE5OYmlpaW8+wrywaiZlVLWxBjDwsICpqamig7G0zFSFqHUEjlRFDE8PIxQKITbt2+rTZvlXgdBaA3P8xmNyMlkUu13UaaGu91uNevicrk0DUJqSXxmi21uexuM41Shov6c0wl+ZaXcy9OFahQr2SgzkDweD3p6eiBJEsLhMEKhEJaXlzE2NgaHw6HeR4qhxWk49mKhnpXjIbFShShlX9mzU5SbvNiLPhqNIhAIQJZl3Lt3T9OUoREzK6WsKZlMYnh4GOFwuKRgPHs9RgnMS8loRCIR3L9/H1arFX19fSWVyFQ6s6KsoVqhzIr+mM3mnFPDg8EglpeXIctyxo5yKYP3KvZ9Mpb6r8yBZPbxssZGcACYKGb0eXCRCKSurrKuTS9O0yBMBUEQVPHe29uLZDKJnZ0dhEIhzM7OZpQohcNhmM3mmsuw6ClWRFFEPB6nMjCifKRnU7ItiZULvZjd+bW1NYyMjKCtrQ0XL17U/KYxamalmLKrcDiMgYEB1NXVlVT2lWs9RjlHxa5lbW0Nw8PD6Orqwvnz50t+6RpBrFQjtSJQjHhtZNfyK4P3Hjx4gJmZGZjN5ox+l0KeH2U/XkmC8PTTEL7xDXDb25DPnoX0xjemmsLLQHbgLt25A7mnB/zkJOSODuBhzwpzuSC99rVlWZPenKbZMkdhNpszDC3i8TgePHiAiYkJTE9PY3R0FB6PR71PtM5OGhE9xUokEgEAEiuE/uQzO0XJrhSSLZAkCWNjY9jY2MBjjz2G5uZmTdetYNTMSiEBeXoPRm9vL3p6ejR9qRhJrBQqEmRZxsTEBFZWVvDEE0+ou8xarMMo54QgCoXjOLhcLrhcLpw5cyajHGZpaQmjo6NwOp2qcPF6vScGLOUMZE1/+7cwfe5zqSyG0wnhe9+DMDqKxC/8AuQ7d3T//YcySV4vEr/yKzD/+Z+Dn5hIuYF1dEB817sgP/647uspB7VYCmW1WtHQ0ICJiQncu3dPdeNTysYUNz5FvFTSjU8v9BQr+/v7AEisEDqjzE5RgrbjHmSCIOQtCvb29hAIBGA2m9HX1we73a7Jeo9al9GCzkLEQTKZxMjISMk9GFqtR28KWUssFsPAwAAkSUJfX9+R0+iLgTIrpUHnzljkKodRSsaU2RXH7SiX8/vk1tchfPWrgNcLpmxiNTeDn5qC6Z/+CYmbNw/1jmhNriwD6+lB4nd+B9zSEpBIgHV2ZkyEr3ZOYxlYPqTPhnM4HHA4HGhvb1ezk4p4mZuby+gb8/l8eTmNGR09zQX29/dht9ururSOxIqBYYxlCJV8ZqfkI1YYY1heXsb4+Di6u7vR29ur+8PRqJmVfNYUDocRCATgcDjQ39+vWdlXNkbKIuQrEh48eIBAIIDm5mZcvnxZ84chiZXiqPYXd6FU6/Hm6ncJBoMIBoNYWloCgIx+l3KWCHELC+BDIciXLqX9IQe5qQn80hK4UAjs4cBAvTiyR4fjwE5Jj0o2tZhZAY4+7vTspOLGt7u7i1AohPX1dUxOTsJqtWaIl3JZiWuJJEm6xRb7+/sl9coZARIrBuWoJvqTOEmspGcIbt68ifr6es3WXMq6KsFJ2R7GGJaWljAxMYGzZ8/i7Nmzut7sRmuwP+ncKMNCL1++jI6ODl3WYaRzQhB6Y7fb0d7eru4o7+3tYWd5GZGXXsJSPA5WX4/Z2Vk0NTXB5/PpFtwAAGw2MJMJSCYzMhdcPA5mNoOVISCsRYOIWrXvzVek8TwPr9cLr9erOo0pzfqLi4tqaWW205jR0btnpZptiwESK4ZEyaYovtuFPKyPEwU7OzsIBAJwOp0luzQVCs/zSCQSZft9+XBcqVO69e6tW7fg9/srup5yc5xISCQSGBoaQiQSwVNPPQW3263bOiizUhp07qoXjjH4vvMdNH7pSynLXrMZ0w4H4j/+41g4OMDIyAjq6urg9/vh8/ny6ncpBPnSJbDubnAzM2Dnz6f6VqJRcJubkN7+dqAMNqi1WBIlyzLMZnOll1F2ig3WBUFAfX29uvGabiU+MzODg4MDuFwuVbh4PB5DikG9e1bq6uqqWviTWDEQyuwUURTzLvvKJldpE2MMc3NzmJmZ0WQeSDFUU8/K7u4uBgYGYLfbyyrqjCRWjsqshMNh3L9/H263G319fbq/VEmsFEc1v5SIFMIzz8D8l38JZrWmnK9iMdQHAqj78pch//ZvIwGo/S7j4+NIJpOH+l1Kug6sViR/9mdh/tjHwE9NAYyBmc2QnnwSyR/+Yc2O8zhqMbNSiwIN0K78Lbu0Mr1Zf3R0FKIoqveJz+czjNOY3mKFMiuEJhRb9pVNtiiIx+MYHBxENBrFnTt34PV6tVpyQRgpEFfIXlN6L09PTw96e3vL+qI0Us9KdmYlvSRODye0oyCxQhzHqb02GIPw9a9n9mbYbNhra4N3chLiyAgsN26gubkZzc3NYIyp/S5KOQyADIvkYgxU5AsXEP+v/xXCwACwtwfW0gL5sceAMu3814KNbzbUs6ItNpsNra2taG1tBWMM0WhUFS+Li4tgjGWUjFXKaUzvBnsSK0TJKLNTis2mpJNeBvbgwQMMDQ3B5/OVZRc833UZhXSxIooiRkZGsL29XdZenqPWU2nShZMkSRgZGcGDBw/Kfm5IrJQGnbsqJZEAt7kJ5vE8+jPGIFssQDwOLhjM+HGO41QHpY6ODsiyjL29PQSDQWxsbKhNyIpw8fl8+b8PXC5Ir3ylhgeXP7WYWalFgQboP8EdSN0nTqcTTqcTHR0dal9YKBTC9vY2ZmZmYDKZDjmNlQOl7F8PSKwQJZE9O6VUoQKkRIEoipicnMTCwgIuXbqEjo6Oij/8jOoGprzUBwYGYLVa0d/fXzEnESM1kytr2d/fx/3791V7a5vNVtZ1GCHbVI2CqdL3+2mCW1yE8NJLwM4OWFsbpNu3Ab0Fu8UC1tQEfnoa7OHgPAaAj8cBQQA7oYeO53l4PB54PB709PRAFEWEw2EEg0HMzc1heHgYLpdLFS5GreOvRbFCZWDlg+M4uN1uuN1unDlzBrIsq3OQ1tbWMDExoYp8RbzoZWpRjp6VaobESoXInp2Sa8hjMSjlOiaTCXfv3oWrDE2Q+WDEnhWO45BMJvHcc8+hu7sb586dq+iL0WiZlWQyiWeffRYdHR24cOFCRV6g1SgUiPKj133Lv/gizJ/6FLgHD1IzRSQJwje+geQv/IK+1rkcB+l1rwM/NQVucRGssRFcLIa61VVIr3oV5KtXC/o4k8mU0YQcj8fVfpf0On4l82KUZtxaDNypDCxPHgp3aOj0lT6/BUhVXChOYwsLC6qphfIzXq9XM6cxPcVKNBolsUIURjGzU/JlfX0dm5ubcDgcuHfvnqF2yoyWWRFFEbOzsxBFEbdv30aDzvMC8sEoYkWWZSwtLSGRSOD69etoaWmp2FoqnW1ijGFra0stsTFCAFcIJPRKIBqF6W//FtzeHuQrVwCOAyQJ/Pg4TP/wD0j+h/+Q+jOdkF7xitQa/vVfwa+ugpnN2L56FdYPfACmEnd3rVYrWlpa0NLSotbxK/0u8/PzatCm7CiXqxQmm1rMrNRqGVje1sWDgzB/8pMQ7t8Hs1ggvelNSPz0TwM6OHaaTCY0NDSo8UEikVD7XaamphCLxeB2uzOcxooVmmRdfDwkVsqIVk302UiShImJCayurqKhoQE2m81QQgUwVmZFKfsymUzgOM4QQgUwRslTLBZDIBBAPB6H2WyuqFABKptZSSQSCAQC2NvbgyiKMJvN8Pv9qK+vL6zmvwLUYrCjNfz0NPjVVcg9PY9EiSCAtbSAHxsDgkF9y8E4DtKb3gTpFa8At7oK0WLB9PQ0Wh+6HGn3ax7V8Xd2dmYM3VNKYWw2m5p18Xq9Zbv2a1Ws1GJmJZ9gnR8dhfU//kfwD/u5uEgEpj//c/BjY4j98R8DOpcpWywW1dQCSA1xVcTL6upqRoZScRrL5/qVZRmMMV3LwMoxfkFPSKyUiVJmpxxHJBJBIBAAz/Po6+vD6uoqotGoJp+tJUbJGiwvL2NsbAzd3d1ob2/Ht771LcO8ECudRdje3kYgEEBDQwMuXLiAl19+uWJrUaiUWEm3aL579676Z+k1/263Ww3g3G63IQOMU5NZkaTUcMJy9kwxlvov+3vleXCMgWMMZTm7TifY+fNgogjMzOj+rMoeuqeUwgSDwUNzK/x+f0m7ySdhlGdzOanF0jcgP5Fm+uu/Bre5mbmB4HZDePllCN/8JqQ3vakMK32E3W6H3W5HW1ub2uOpiJf5+XlwHJfRrH9Udl6JjfRssKcyMOJYtJidctTnrqysYGxsDF1dXTh//jx4njdUBiOdSruBSZKE0dFRbG5u4saNG2hoaEA8HgdgnBeiIlbKvZ70OTyKIUMkEjFEoFsJsbKysoLR0VH09vaiu7sboiiCMXao5j8YDCIYDGJoaAiyLB+yia3kNWWE61kTolGYvvpV8M8+Cy4Wg3zuHKQ3vAHyhQsA9BVj8tmzYM3N4JaXwbq7H/6hDG51FdKdO2Bldgys1P2YXQqTfu2PjIxAFEU1GPP7/ZpZv1biWWgEajWzks9xCy+/DDidmeWXNhuYLIOfmCi7WEmH4zjU1dWhrq5OzVAqTmNbW1uYnp6GyWTKaNZXDGuU2Ih6Vo6GxIqO6FX2lW6ze/36dTQ+dIsBKi8KjqKSmZVIJIKBgQGYzWb09/erDwjlwWiUl0P6espVxpdMJjE0NIS9vT08+eST8Dy0SjVCSZqyjnIFabIsY2xsDOvr66qgPep3W63WDO/+SCSCYDCIra0tTE1NFW8TSzxCkmD+1KcgPPMMmM8HWCwQnn0W/NQUEh/8YGqqup64XBDf8Q6Y//IvwY2MpLI6sRhYezvEt79d136VXCjXYqWD9+xrf39/X+13mZubgyAIGf0uxToIKsdrhGdzOanlnpWT3nvM5wO3tpb9D1P/t0xmQtzKCoRvfhP88jJYczPEV73q0WZGGumOfN3d3ZAkSXUaW1lZwfj4OOx2u5pxUf6NHpB1MXEkWs5OSSccDiMQCKjT1bNfBEYVK8q6yr1TpuySnzlzBufOnct4GKSLAyNQbrGyu7uL+/fvo66uDvfu3cuwZKx0SZpCucRKLBbDwMAAZFnGvXv31JdHPnAcB5fLBZfLhTNnzkCSJLVsZm5uDiMjI6pNbLlLxozwHRYLPzEB/sUXUyUfD3cFWWMj+NFRmJ5+Gkm9xQoA6ZWvTFkIP/88uO1tsK4uSHfvgrW16f67j8JIgWz6bnJXV1eG9Wt6QJa+m5yve5JRxFm5McrmWbmRJOlEW2DxLW+BZXgYCIcBtxtgLCVePB6Ir3617mvkh4dh+fCHwa2uAoIAThQh/Mu/IPGf/hPkp5469t8KgqC+A4DUprNSMra8vAwAeP7559V7xev1ahYHRCIRwzjDFguJFY1Jn52i1J5qlRJfWFjA1NQUzp49i7Nnz+b8XKOKFeXhWy6xIkkSxsbGsLGxcSj7lL0mI4oVvVF6d466lhSRUOkyjHKIlWAwiIGBATQ0NODq1aslvyAEQSioZKwQYZQvpyHA41ZXwSWTYOnlCxwH5veDm5xM9ZOof6zf8coXL0K+eFG3z8+XahCe6davZ8+eRTKZPNTvorgnnSTca1WsUM/K0YjvfCf4iQmY/vVfgVAIHFLZlsSv/ipYT4/eC4T5k58Et7aWeh7wPMAY+JkZmP/0TxG/fh0oYEabyWRCY2MjGhsbEQ6HMTQ0hK6uLoRCIUxMTCAej6t9kT6fr6RNrmg0SpkV4hGyLEMURc3LvhKJhFqqc/v2bdUDPBdGFStKAKjnlFYFpezLZDJllH1lo8y2Mcr5Uq4VPYOSXL07uSi3uDwKPcvR0jcALl68iM7OTl2ONVfJ2Pb2NjY3N9WSsfr6evWlpJVvP1AdAe6RKHa5kpSap6AQiwGNjWUvwzIK1RS8m81mNSADUhlMpWRMEe5erzdDuCvHlz6DrJao5TKwE2MDiwWJ3/mdlGgZHARsNkiveAXYQ3cuPeEWF8FPT0Nua3tkusFxkNvbwS8vg5+chPzYY0V9tiRJMJlMGXbi6ffK8vKyeq8omwH5zkJSSjWpZ4XImJ2iBHdaPWyCwSACgQC8Xi/6+/tPrH03iutWNuXKGqyurmJkZCTDdOA4jGRIoFw3eq0nGo3i/v37EAThWBGnrAWofEmCXuVokiRheHgYwWDwxA0AQDvRll4ypjTv59p5VoI3l8tV9Pkvdr3cygqE554Dv7AA2e+HfOdOwUMItUC6ehVCWxv4mRnIZ88CJhO4YBDcwQHEvr6yr6fSnIZMg81mQ1tbm+qeFIlEEAqFsL29jZmZmYwGZCW4qubjLYZKP3MrRd7HzXGQH3usaGFQNMp7KPt65LjU35Xw3s7exOU4Dna7He3t7Whvb8/ZG6a49qXPQjrqXqGeFSKj7AvQdhL99PQ05ufnC9r1NWpmRcky6bW29LKvJ554Ak15ziIwmrjTaz0bGxsYGhpCe3s7Ll68eOJLIT2zUkn0KANTRJvJZEJfXx+sBaTutSbbaUnZTQsGg1haWgKAQy5jesJNT8Pyp38Kbm0NzOmEKRYDe/55iO9+N6Qy1IRn4PVC/MmfhOkv/xL81BTAGFhdHcQ3vhHS931feddiACqd5dSadOHe1dUFSZKwu7uLYDCI5eVl7O3tAQCmp6fV+S5aZh2NiFJ6W4tiRc+hiFrAurogd3eDHxuDXFenihR+ZQWsrU11KCyGk449V2/Y3t4egsEgNjY2MDk5CYvFor4rHA4H3G63+u/39/epZ6WWSZ+dwnGcZg8YZTBfIpHAU089lXHRnYRRxQqgXyC+v7+PgYEBCIKAvr6+ggK60y5WZFnG1NQUFhcXce3aNbS2tub178pRkpbvOrRcw9bWFgYHB9HW1paXaCs32TvP2S+k9OF8+ZSMFXTuGIPpS18Ct76eyqRwHBgAbmkJpi9+EdL164DXW8rhFYx87RoS//k/gx8dBRePQ+7szHDeqfT1WU5O+7EqLmI+nw+9vb3Y3d3Fiy++qD7DlGnhWmQdjUqtOqABVZBREgQk3/9+WD7yEQjj42BWKxCPAz4fku9//6Oy1SIoVKilO4319PSopi6hUAhLS0v4tV/7NTx48AB3797FK17xCiSTSd3Eyu/+7u/ic5/7nGqm0dfXh4985CO4qHGfH4mVItBrdgoAbG5uYmhoCE1NTbh161bBO0lGFit6rG1tbQ3Dw8Po7OzEhQsXCn7YnWaxEo/HVdF77969gmpWjWI+oJVYYYxhZmYGc3NzuHr1Ktoq6OaULxzHwe12w+12n1gyVl9ff2hacsHPpJ2dVMlVa2tGqQNrawM/OQl+fh7y9esaHV0B1NVBfvLJ8v9eA3KaMisnYTKZwPM8Ll26BCA1LVwpg1laWgJjLMMi+aiBeyrxOPixMYAxyJculRRc6kWt9ukAVSBWAMg3byL+u78L09e/Dm5+Hqy9HdJrXpO6nkqg1KxStqnLZz/7WXz5y1/GN77xDXzkIx8BALz1rW/FG9/4Rrzuda9Df3+/ZsYu3/zmN/HBD34Qd+7cgSiK+K3f+i288Y1vxOjoqKalZyRWCoQxhp2dHVWpaiVUZFnGxMQElpeXSwqmBEFQe2iMduNrGYhLkoTx8XGsr68XVPal55q0QKvgPBQKYWBgAH6/Hzdv3ixY9GY3uVYKLVzJkskkBgcHEYlECs5UGonskrGDgwOEQqGMkjFl11mxxywIQUhNZ5ekzMnsspwSL6e8BMfonPbMSjbZjebZNfzZA/fMZrMqXPx+f4YNrvDMMzB/7GPglpfBAZDb2pD8uZ8rf2njCeg9ydzIGDFmyQU7exbJs2c1/UytS+AaGxvx3ve+F+9973vVqopf+qVfwtNPP42f/umfxubmJvr6+vC6170Or3vd63Dnzp2iSyy/9KUvZfzvT33qU2hqasJLL72E79OwXJfePgUgyzISiQRWVlYQjUbxxBNPaPK5+/v7CAQCAIC+vr6S1Gg5XbcKhed5TTIryvniOK7gmRi51lTpgDydUtfDGMP8/Dymp6dx4cIFdHV1FR3kG2HWSqkbAXt7e7h//z4cDgf6+vpO1XBGu90Ou92eUTK2vb2NtbU1TExMgDGGubk5NDc351fv73ZDunYNpm98IzWE0WRK1WTPz0Nua0s1uRuUWtiJPm09Kydx3PGmZx2V2UbhcFgV7qOjo6irq4PP50PTzg6af/d3we/uQm5rAwPAr6zA8pGPIN7SUvKuuJbUchmY0XtW9ETP2WpKc/373vc+vP/97wdjDFNTU/ja176Gr33ta/j93/99/K//9b/wnve8R5PfFw6HAaC4DbNjILGSB0rZl+L2ZTKZNAtwFfeqjo4OTWrolX8vSZLhAjMtnLfW19cxPDycd6P4SWgloLSiFLGSTCYxPDyMcDiMO3fuwFtif0E5p8cftwaguEBNKRHs7u7GuXPnKmvBvLoKLhKB3NAAaPwQBzKDt56eHoiiiGeeeUZ9McViMXg8nox6/1znQ3rzm8GvroKfmEj9AWNgTU0Q3/UuQId5MERhkFjJTfbAvUQioWYd9z77WbgXFhDr6YHl4eBB85kz4KemIPzbvxlKrCjZpFr6nhWqJbOiB3puLu/v72eUSHIchwsXLuDChQv4+Z//eciyrFkMJMsyfuVXfgX9/f24du2aJp+pQGLlBBhjahM9kAomTSaT6v5VLKIoYmxsDJubmyWVMWWjlKUZKVugUIowkGUZ4+PjWF1dxWOPPYZmjXzVjWRdDBQvVpQMgtLgdtIkYD3XoiXFWCjLsozJyUksLy+XfG+VHDSEQjB9/vMQRkaAg4NU9uLuXYhvfjOgwXd0FCaTCRzHoaenB06nU633DwaDWFxcBMdxGS5jio01a25G4pd+CUIgAG5zE6yuDvLjj4O1tOi2ViI/Kr1xUG5KySRZLBY0NzejubkZFosFvNsN2O1IJBKIRqMAAJckITk+jmQ0eqztq9Zwm5tAOJyaDZJVklpzM1YSidTMkocbwLUsVvRypTzJtpjnec3O+wc/+EEMDw/jmWee0eTz0iGxcgzp2ZT03Y5SG8V3d3cRCARgsVhOnHdRDEZtsi9WGESjUQwMDABIlclpOfHbCAF5OsUIzZWVFYyOjmqeQTBCZqVQC+VsUwEtGvyKPp+MwfzZz0J4/nlIXV1AWxu4YBDCv/wLmNMJ6Q1vKHltJy8hdd7S6/3TbS+VkjG73Z7hMoZXvEL3tRGFUYtlYFoEUezMGfCyDLvNlnKKfLgBya2vY8Pjwej3vger1ZrRrK/FZs8hdnZg/qu/gvD88+BiMTCPB+Ib3wjxh35I7QerFdtifngY5k98AsLzzwNmM8Q3vQmmK1dq4thzoWcJXCQSgdPp1P3Z8Yu/+Iv453/+Z3zrW99CR0eH5p9PYiUHJ81OMZlMRYkBxhgWFxcxOTmJnp4e9Pb26nIBGVmsFLoupeyrra0Nly5d0vxhZjSxUkifSLrJwPXr19Up0VphhAxdIRbKOzs7GBgYgNfrLcpUQGu4hQXwo6OQuruBh7aRrKkJSCQgPPMMpFe+EtB4oyLj9x/xbMm2vUwmk6rL2OTkJOLxeMZU8XwnJVeCSovpcmPU70EPtMoyiG94A0xf/GJq+vhD63br+jpYeztafuZn0NDTo17/CwsLGBkZgcvlUsWLx+MpPZBkDOY//VOYvvlNsJYWyH4/uGAQ5s98JhWs/+APAqiNUih+chK2X/iFVObW5QISCZj/4i9wvb0dwqtfbUiXNr3RU6xEo1Fdp9czxvAf/sN/wOc//3k8/fTT6Onp0eX3kFjJQpmdcpwrRzFBt9JPsLOzg1u3bmnefJSOUcVKIcJAcUdbWVnBtWvX0KJTGYoRxUo+61GyTRzHFTxbppC1VDoYzFesLC0tYXx8HOfOnUN3d7chgjpubw9cNKoKFQXmdoMPh8Ht74PpKFbyxWw2o7GxURW70WhULRmbn58Hz/MZLmOVHKJZy1T8XlxdhfDMM+B2diB3dUF6xSsAnYMgTQYsd3cj/tu/DcvHPgZubg4AIF+6hMQHPgB27hwEIMP2NZFIqBbJY2NjSCaTGf1exYh3bmYGwksvQe7sBDye1Lra2oClJQhf+QrEN70JsNlqogzM9JnPgNvcTJ0LxSLf5YJnfh7yN74B9sM/XOEVlh89e1YikYim1SjZfPCDH8RnPvMZfOELX4DL5cL6+joAwOPxaBqXkFh5iGL3qwiV4yyJBUEoqGclFAohEAjA5XKhv79fnxRzGkYVK/muKxqNIhAIgDGmedlXNtUoVpTBhq2trbpkmxSqIbMiSZLa+3Xz5k014DACzO9P7Rzu7GQMU+R2dh79nd5rKCLAdTgccDgc6OjogCzL6lTxlZUVjI+Pw+FwqIGb1+utWQefSlCpQFZ49llYfu/3UrvhDysNpMuXkfid3wHLc9BsoWhZ9ibfuoXYxz8ObnY29dlnz6asunNgsVjQ0tKClpYWMMYQjUbVZn1FvCvDK/1+f14BGbe9DS4aBTtzJuPPmccDLhwGFw6DPRQrpz2zIrzwQmqTJv04zWZAlmEaG0OyckurGHq7gemZWfnYxz4GAHh1lg34n/3Zn+H973+/Zr+HxApyN9Ef95DMN+hmjGF2dhazs7M4f/48zpw5U5aXjVHFSj6B+MbGBoaGhnQr+ypmTeXkuPUwxjA9PY35+fmyDDY0UmYl1zk5ODhQe5nu3bunS3YpfQ2FwtrbIT3xBEzf+hbkRALM6QQXDIKPRpH8wR/UtcEe0Caw5XkeXq8XXq8XZ8+eRTKZVAO3iYkJJBKJknedteC070YDFexZ2duD+Q//EFwwCPn8eYDnwRIJCENDMP/5nyPxoQ/p8ms1P15BADt/vqB/wnEcnE4nnE6nKt6Vfq/19XVMTk7CZrOpvS4+ny+nCyfz+8EcDmBvL6OpnguHwTwesId/Vgs9K8zvB7ewkPlnynvmYdbJyHBbW+DHxwGzGdK1a5pkF/UsA9NbrJQrRqh5saJkU5Q0XD4PR6Vn5biHaTwex+DgIA4ODvDkk0/CU8ab0Mhi5ah1pZd9Xb16Fa067dYVsqZKcFRTeyKRQCAQQCwWw927d+Eqw668ERrsj1rH9vY2BgYG0NzcjCsGbswU3/lOwOmE8OKLqV1pnw/JN78ZUn9/pZdWFGazGU1NTWhqagJjLMNlbH5+HoIgZLiMUcmYdlTqXhQCAfCrq5DPnHm0G26xgDU0QHjuOSAc1iXINGLgnt3vJYqi2u8yNzeH4eFhuFwu9fr3eDypTZ/eXsiPPw7hu9+F3NYG1NWBCwbBRSIQf/iH1T6NWsisiG99K6z374OFwynhxhj4zU1IDgfY619f6eUdDWMw/d3fwfT3fw9uezslftvakPz3/x7SvXslfbTePStaTpKvFDUrVpTZKaIonlj2lY1yUR2Vutva2sLQ0BDq6+tx48aNsjf6Gi1boHCUiFJ2yGVZ1szBKV94ni/ZhlpLcn13Shmh1+st6/VklOsoPcOTPvTy0qVL6Ozs1P33lxQkOp0Q3/lOiK9/fapHxecrawOpngEux3HHloyNjY2hrq4uI3CjkrHiqVhmJZEAZPlQ2RQzmcAlEuCSSehxlR3Vv8GtrKTEfygEuaUF0pNP6jK7KB9MJhMaGhrQ0NAAILVJqfS7jIyMQBTFR2YV73kPfFYrhPv3wQWDYG43ku9+N8S3vU39vFroWRF/+IfBDw/D9M//DG55GQAgOZ2Yedvb0GugmTfZCM8+C/OnPw1mtUK+eBGQJPCLizD/4R9C7uwEK8EBS283MD0zK+WiJsVKoWVf2SgXlSiKGReYLMuYmprC4uIiLl++jPb29oo8eIycWUkkEhl/trm5iaGhIbS0tODSpUtlD2aMEpArpK+HMYaFhQVMTU2VtYxQwQg9K8o6FIc+xaRCi6GXZcXjAStziUO5nz1HlYxtb2+rjcrpLmPlsNOsWpJJ8MPD4A4OIJ89q865qcT5ki9fBvN6wW1tpWaDAKnd8K0tSLdugenUJ5ZLnPEvvwzzJz4BfnMTjOchyDJMX/saEr/4i4f6QSqB1WpFa2srWltbwRjD/v6+WjY5t7MD/vZttNy4AR/Pw3XhAqxZFQS1kFmB2YzEf/2vEN/1LggvvwxmsSB04wbWQyH0VnptxyB8/etAIgGmuF3xPOSzZ8GPjUF49lmIP/IjRX+23j0rWs3xqyQ1J1aU2SmFZlPSSZ8Sr6A0hSvZgUoqWaOKlfQ5K8rgvqWlpbL0X+SzJiOgiBUlMA+FQrh9+3Zq9kUF1mKUMjDl/rJYLLh37x6VF1UB2SVj6S5js7OzMJlMGS5jxRiPGOH61Bp+YgLmj34U/MwMkEwCXi/Et74V7K1vrch6WGsrxB/+YZj+4i/AT0+D2e3gIhGwhgYk3/teQCcBdUisHBzA/JnPgAuHIV29mvq9kgR+bAymv/s7JP/Tf9JtLcXAcRzq6upQV1eHzs7OjMzjQiiE3fFx2BcWMua7GLH0TRc4DvITT0B+4gkAQGJ7G8LuboUXdTzc1hZYdlac4wCOA1fC2pUqHz0n2FNmpYrInp1SrFABUg+h9Fkr6bNALl68WPFSB6OKFaU/5ODgAIFAAJIkVVzYGS2zwnEcYrEYnn32WVitVvT19VUsMDdKzwpjDIODg+jq6sL58+dr42WuEUb4/oDMRmUlcAuHwwgGg1haWsLo6GhJJWOnJkMTicDykY+Am58H6+oCrFZwW1swfeYzsNts4Hors/ecfN/7IHd0QPjKV1L9BZcvQ3zrWyFfuaLb78wWK/z0NLiVlVTvjPLnD/sGhLExiNvbYA/LsYxIeuYRSFVmhEIhhEIhzMzM4ODgAFarFRzHIRQKqf0utUA1ZJTkCxdgGhlJPVOV6y+ZTAmv9vbiP/dh/FGtc1bKRU2IlezZKdlDHotBEAQkEgkMDw9jY2MDjz32GJqVFHmFMapYEQQBsVgM3/3ud9Hc3IzLly9XXNgZTaxEo1E8ePAAPT09OH/+fEWDsEqfG8X9TBRFnD9/Hr0VCtSqFSMH8On2r729vUgkEmq5TC2XjAnPPw9uYSFlrfvQVYo1N4OLRuH46lcrJlbA85Be/3pIZWyAPpRlkOXUf1lBLeN5cIwBBnznHYfJZMqYbxSLxTA9PY1wOIzh4WHIsqzeAz6f71TfA9UgVsQ3vQnCd74Dfnw8VQ4pSal5MVeuQOrrK/pzlVhNzzIwarA3OIXMTikUjuMwNDQEm82m21C+YsnVG1JpZFnG5uYmdnd38fjjj1es7CubSgfkCrIsY3x8HNvb2/D7/bhw4UKll3R0z0ooBO6ll8BNTAAOB9hjj4Fdvw5o2PifSCQwODiIaDQKi8Wi6xBVovJYLBY0NzejublZt5KxaoALhQDGVKGi4nSCDwbBlftZJcupjMb8PGC1Qr56tWzZi+zMitzTA1gs4F96CaynB6yxEeA48GtrkJ94IvW/qxibzaZaf1+5cgX7+/sIBoPY3t7GzMwMTCbTqXXaqwaxws6dQ+JDH4Lpb/4GwtRUSsB///cj+Z73ZNhRF0p677QeUBmYwSm1if64z11eXkYsFkNzczOeeOIJw91k6SVqRiAWiyEQCODg4AB1dXWGESqAMcSK4obGGENXV5dhhGbOMrDtbfCf/jS4ycnUAzqZBD8wAHlhAfI73nFo17MYdnd3cf/+fbhcLty7dw/f/e53K/odVfNuplHKwAohV8mYYg+7uLiI0dFR1R5Wj5cwNzMD4bnnwEUikM+cSdlMl8EqHEjN5oEgAAcHma5x4TDEy5c13RA4kUQC5r/8SwjPPJNaDwDW0ADxJ36iZKvWfMgQK+EwrP/9v4MfGko11w8NAV4v5J4eyD09Kftfg72Hi0E55vR+l66uroyyScVpz+l0quLF6/WW3XX0ENEohJdfBgBIN24ABezm6+mGpSXy448j8dhj4La3wUymjGG/xaIcux7vGWXjh8SKQSlmdko+JJNJjIyMIBQKwel0orm52XBCBTBGAK6gTFtvamrCmTNnMD09XeklZVDpOSsPHjxAIBBQy+IWFxcRi8Uqtp50cjXY888/D25yEuzKFTVwYjs74J59Frh+HSixTGV1dRUjIyM4e/Yszp49q764qzHorjTVLLLS4Xle3U0GUlk3JeuyuroKAAgEAurPOByOoo9d+OpXYfn4x4FgUG2elf/1X5H4rd965ISlI9LNm5CfeCI15bupCcxiAffgAWC3I/L931/W71R45hkIX/0q5NZWoKcHkGVwCwswfeYzKYcync9Huo2v5Y//GMJXvwrW3AyppQXcxga4YBBIJpH4tV8zhBOYFhyVYUgvmwSgOu2FQiFMTU0hFovB7XarJWNut7ussYnpi19M9VptbgIAWGMjEr/+6xm2zMdRDZkVFY7TNLuopxMYQNbFhkaSJM2Fys7ODgKBAJxOJ/r6+jA0NGSo7EU6RuhZkWUZ09PTWFhYwJUrV9De3o7t7W3DiCiFSrmBMcYwMzODubk5XL58GR0PPdqNYhcMHLGW0dHUblL6Lp7XCywvg1taAitSrChlcGtra7h+/bpaxw0Yx5WsGjmN581isaClpQUtLS2IRqN47rnn4PP51HIZs9mcUTKWa6J4Tra3Yf7kJ8FiMbDLl1Ni5eGkdtNnP4vkL/6ivgcGABYLEh/6EMyf+hSEZ58Ft7ubyhy8+904uHIFeDiXohwIzz4LWCyPdo95Hqy7G/zoKPjBQUhveIOuv1/NMmxvw/S1r6XW8dD+m7ndYJEIuHAY3N6eLnNeKkG+QXu60x6Qys4rPV/Ly8uQZVkVN6UK+JPgBwdh+b//b3AHB2B+f8oda3MT1t/+bcidnZCvXz/xM6pKrGiMnk5gAPWsGBqO4zQt+1KG0J07dw7d3d3gOM4QguAoKr02pewrmUxmuH1VOouRi0pkodL7MZ566im40+pdjRSY51yLxXK4kVX5mSLLEJTrRRRF3Lt3Dw6HI+PvK51ZOS0ZitOI8t10dXWhq6sLkiSp5TILCwsYGRnJOVE8F0IgAG5rC/L584/cfiwWyPX1EL7zHSR/5mfKMtCTNTQg8au/CgSD4KLRVAbDbAZbXy/vtRiJgGX3RShWrfG47r9eLQMLhYB4HCy75MbhADY3UxmWamJvL3Uec+x2F2tdbLfbYbfb0dbWBsYYIpEIgsEgHjx4oAr4dItkLftdTJ//fMrKuq1NvW9YczO41VWY/v7vkSCxcix6lsAps35cZSpj1ZNTKVa0EirxeBxDQ0PY398/NIROEARDTT5Pp5Ji5cGDBxgcHERDQwNu3bqVUUdrtJkmQPnFSjgcxv379+F2u3Hv3r1Du75GKuHLlVlh16+DGx8H9vcf1SSvrgI+X1FZlVAohIGBAdTX1+Pq1as5H9qVFivVSlWLrHgc3IMHYHV16m76UaQfpyAIGSVj8Xhc3XEeGRmBJEkZTcp2u/3RvxfFlKtUdtAkCI+cqMqJ1wt+chL83/4tuAcP4G5qQqinB7h1qyy/Xr56FaZ/+qdUEKqck0gEMJshd3bq/vuVwJ21tqaGUobDYOkbGeEwUFeXsjKuAriFBZi+8AXwQ0PqnBHxh34o1af0EC1KgjiOg8vlgsvlwpkzZ1QBHwqFVJtwp9Op3gNer7ek38kvLaWuj/TnDccBggB+cTGvz6iWnhU90PPY4/E4JEmiMrDTzPb2NgYHB+Hz+dDX13coqKx09uI4KrE2xWZ2fn4+o6wpHSMF4grlWhNjDEtLS5iYmMjI0FVqPfmQK7PC7twBm5sD9/LLKY95xlKNrm9+M5A1jfk4GGNYXFzE5OQkLly4gK6uriODaxIrxVN1540xCF/+Mkxf+AK4rS3AZoP0ilcg+RM/UZTjjtVqVUvG0nect7a2MD09rTrN+f1+1F+4AIvXC25jQ50YD1kGt7UF6XWvK6hhWAtM//zPMP3DPwCMgTmdcExOouOFF8CfP6/rfBMF6dWvhjAwAH50NFXek0yCi0Qg9fdDvnpV99+vZlacTojvehfMf/In4FZWwDwecPv7QCSSCvarQKxwm5uw/MEfgJubA1paAMZg+upXwS8sIP6hDwEPxbUeGYZ0Ad/b26v2uwSDQUxMTCAej8Pj8agi3uVyFbQGubcXwtNPp94FyjP8oZW0fP58fp+hc9+GVnArKynzjZ0dyG1tKcviEzZTTkJPsbK/vw8AJFZOI+m9FpcuXUJHR0fOIMpojlvplLvcKh6PIxAIIB6P4+7du0emHBURdWgycQUphzgQRRGjo6PY3t7GrVu3jrXhNZJYydmzYrNB/vEfB3frFrCykipPOX8eyCFOj0KSJIyMjGB7exu3b99Wm0aPW0clg27GWPUF/ajOzIrw1a/C8rGPgXEcWH09uIMDmD73OXDBIBK/+ZslTSjPteOsuIzNzc1heH8fF65fR8fXvw7L9jZ4pxN8NAq5owPJH/kRDY8yj7U+eJBqKHe5VOEUd7thGh6G8K//ClnpqSmE7W2YvvKV1JwIrxfSq16V6ic44nNYRwcSv/RLEL72NQhDQ2A+H6R3vAPia15TFley9Ab75E/+JJjJBPNnPwsuFAJzOCC+851I/uzP6r4OLRCeeQb8/HxKZD4MTJnfD25iAsL3vgfpB34AQHnKoXL1uyiGFUtLSwCQ0e+SkX3MQfJd70rdo2trqVI9jkt9R14vxDzvG1mW8+8tqxD888/D8od/mDIReJiBlf/lX5D4jd8AK+D9l42eYiUSiYDjuEOl1dXIqRQrxb6klcnqoigeG3QDj4ZCGhGTyVS2gHd7exuBQAD19fW4efPmsfaJykO4lsRKJBLBwMAAzGYz7t27B5vNVtH1FMKRotdsBrt6FShidzUajeL+/fsQBCGv8wFUXqwQZUIUYfqnfwIAsJ6e1P91u8HsdggvvAB+YgLypUua/TpBEFBfX4/6+noAqU2X4KVLWDxzBuZnnoElHIZ4+zbYD/wA3O3tsJfxucUtLIALhQ4db6K+Hvz8PLCzA5wg8jM+b3kZ1g99CPzUVEqcyDLM//iPSHzgAxB/7MeO/HesqwviT/0URFlW+1XKRUb/hiBAfO97Ib7rXeC2tlJBcRXV4XOzs2A2mypUAAAmEzhBAD8/D+UpW2zPSinY7Xa0t7ejvb0djDHs7e2p2cepqamM7KPP5zs044idP4/4Rz8Ky//4H6lrE4B88SISv/EbkC9ezGsNhu9ZiUZh/sQnUvekslGQTIKfmID5r/4Kid/4jaI/Ws9jV2asGCXeKoVTKVaKYWNjA8PDw3lPVjdyz0o5MivpblbHZaDSUc6p3u4XhaCIAz0E1Pr6OoaGhtDV1YXz58/ndcxGCsy1Xoti09za2opLly7lfQ0YySGt2jDKtZQXu7vgNjfBsoNwlwtYWQG3ugpkBe9aHp/VakVrWxvwkz8J9t73IhKJIBIMIrywgI1PfQpWjoPlwgXUXbsGXyEuY8VgsaT6AEQx9f8DYAB4UUxlNQocimn+9KdTYq+3V82KcKurMP/Zn0F65Ssz+iZyUoHndc5nss0GVoZ+Gc3x+4FsUwLGAFHMMA5IzyZVAo7j4Ha74Xa70d3drWYfQ6GQalhRV1enChel30Xq68PBF76QEsOMQb5wIVOYnYDRe1b4kRHwq6uQu7sfCXazGay5GfzAQMrqvMjBxXqXgenpBFdOal6sSJKEiYkJrK6u4urVq2jNs+7e6D0regXgQGoHcnBwEAcHBydmoNJRglNJkgyT8lUeElqeK1mWMTExgZWVFTz++ONoLmAegdEyK1qshTGG2dlZzM7OqjbWhWAkAVdNFH09b29DGBhIOTCdPZvaHS3Hy87pTAmT7KxBLJYKDDQYwJYvSsmYZ2oK5i9+EVhfRyKZROy738X6xYsYvXsXdV5vqtelvr7gOv+TkM+fh9zVBX52NlX3LwjgYjFYgkFIb3pTYf0z8TiEZ55JicC0zDdraQE/MwPhpZcgFnhPloNKZBn0QnrqKQhPP52yd384FJlbWkqV1t2+rf6c0TIM2dnHRCKh9ruMj48jmUxm9rtcvFjUc8dox50NJ0kpg40sUcEEAVw8Dk4Ui7bP1lusnAbbYuCUipV8b5ZIJIJAIACe59HX11dQXZ+Re1bSMxhaT7VNNx64ceNGQZ+vuLQZJRgHMgWUFg/LWCyGgYEBSJKEe/fuFfygMJJY0eK7EkURg4OD2NvbO2TTnC9GsnOuNgo9b8Jzz8H8v/83uI2N1L93OCC98pVI/tzPARranebEaoX4+tfD/Gd/BmxtgdXXAwcHqVr/xx+H/Nhj+v7+LLgHD2D+678G9vbArlyBmedhDgbhmZtDR18fNtra1InijLFDLmMlYbNBfM97YPqzPwM/Pg5wHMyxGHYuXYL1zW8u7LOUayD7vaj8b4M8b7LJuYHEGLi5OQijo6kG7rNnM/pAjIp85QqS73kPTJ/7HPiJiVRPVmMjxB/90VTP30OMLtAsFguam5vR3NwMxpja7xIKhbD40PmrmPvA6GJFPn8+1UO3tvaoP4Ux8OvrkG/eBEubC1Yoem7eRiIROJ1OyqxUMysrKxgdHS2oRCcdo2dWAG3FSvru+MWLF9HZ2VnUDWCkYBx4JFa0WJPSv9PY2IgrV64UtVtipPNTakYjEong5ZdfhsPhwL179w7VOpdrHbVKofcnt7UF88c/nnK6uXAhVfoTDsP0b/8GdvYsxLe+VaeVPkL8oR8CFwxCePpp8BMTgNUK+cYNJH7xF4EjXui6DbsbHk7NXbly5VFg7/eDBYOw3b+Ptte+Vp1rodT5b2xsYHJyEg6eR+fyMrzJJOznzoF76qkj138U8qVLSHzoQxCGhoBIBNsA1puajjXoyInNBunJJ2H64hdTrl4Pn0vc5iaY2w3pxo3CPq9MHCqJYgymL34Rpi98AdjdTf2ZzZYS0+97X8GlcWWF4yC96U2Qbt+GMDmZ+t8XLx7qOzJ60J6O0rjtcDjQ0dEBWZYP3QdWqzWj3+WooDzv7EI4DNMzz6Tuy85OSP39QB59j6XC6ush/siPwPypT4EbHwez21OzZZqakPzRHy0p8yxJUl69m8UQjUZPhRMYcIrFylEBjuLM9ODBg0OTsgvByD0rHMeB4zjNxFR62Vexu+MKRhN5ysuwFIGQLuTy7d85CiNlEUpZi9Kvc+bMGZw/f76kgJLESnngX3oJ3OZmquxLCZi8XrBQCMI3vlEWsQKrFcmf/3mIb387+KUlMLc7tZ5K7JzHYqn/m6NvgtvbU/9ndp2/PDMD4Xd+B9zkJKRkEhLHIXb+PEK/+qtwX7gAt9ud//3g80H6vu9LLWdpKVUiVwTJ970Pwugo+JmZVFCfTAI2G5L/7t9VzPqXf+klmL785VTgeekSxLe9TS2RAg5nVrjpaZj+4R/AzGYwRUCGwxC+/nXIFy6o58nQ1NdDunfvyL+udM9KBrIM0z/8A0x/93fgNzchXb+O5L/7d0dmOHmeh8fjgcfjQU9PD0RRVAe0zs3NYXh4WB3Q6vP54PF4VIGSj0jjR0Zg+f/9/x7NbuE4yFevIv7f/3vGdaMX4tvfDrmlBaannwa3sQHp/HmIr399RmasGPS0bY5EIqfCCQw4xWIlF+FwGIFAADabDX19fSWpWaMF3elwHKdZk30wGEQgECiq7CsXRsocAI/OVbFrSiaTGBwcRCQSwZNPPglPiZ7rRiqTK2YtsixjamoKS0tLBffrHLcOmmBfHIWcN+7gIPX/ZAcNViu43d3MOQo6w9rbIbW3A7EYhG99C8KLLwIHB5CvXoXU3/9oDorOa2Bmc+YAVMbA7ewcHXDKMux/8AcQZmdTzexWK6T9fdhnZiD/n/+DgZ/4CQDFlcqU0lfHzp5F7KMfhelf/gX88HCqV+J1r0vNiagApr/9W1h+//dT55bnIXztazB94QuI//7vqw5S2ccrjIwAu7spJ0Llzz0eYGMD/AsvVIdYOQEjlYFZPvIRmD/5SUCSALMZppkZmL76VRx8/OOQn3rqxH9vMpkOue0p/S6jo6MQRREejwd+vx+iKB5/bSeTsPzu74JfWADr6kplKeNx8IEALP/rfyH+4Q9rddhHw3GQn3oKiTyOvRD0NBxS3MBOAzUhVhhjWFhYwNTUFM6ePYuzZ8+WHIAYuWcFKH1avFZlX7nWZbTzVqxYCYfDGBgYQF1dXc7BoeVcix4UmllJJBIIBAKIxWK4e/euZg/JSosV3ZGklIvO/j5YZyfYw/kHpVLo/SqfOZPadY9EAOW7YwxcKATx7t2y2tYCACQJpr/+awjf+Q7gcKQCpi9+EfzICJI/93NgGgjh45AvX4Z88yaE554D83gAsxncgwepYXCveEXOf8NPToIfG4Pc1qb2+AhOJ7j2djQvLOD7zp7FrtudUSpjt9szpokftSFU6j3AWluR/JmfKekztIDb2oLlT/4EkCTVohqSBG5hAeY/+RPEP/pRADkC92Qyp30yM5vBZTttVSlGKQPjZmZg/su/BCyW1LUPpJ4F6+uw/M//idj/9/8V/DzIHtAajUbVfpd4PI6RkZGMkrF0Ec8PDoKfnU1lUJT3rNUK1tAA/vnnwa2vl2UDQw/0brAnsWJwlAAnkUhgaGgIe3t7eQ2gyxcjDjhMpxRRkEgkMDg4iP39fU2yBekYKRhXKHRNjDEsLy9jfHxcM/GbvhZlCGGlr6tCMivhcBj379+Hx+PBvXv3NDV2OM1ihVtchOV//++UWEkkUoPUXv96iD/6o2UZvJeO/PjjkJ58EsK3vw1WVwdYLOCCQbDWVogPh9aVE35yEsILL6R2Uh86DrLWVvCjoxC++12I73iHvteFyYTk+94HuasLwve+By4eh/ia10B6zWuOHgK3twcukQDLMiNgViu4SAR8NAp3R4daMiaKojqYcnp6GgcHB+puszJNXHkOVOSZkEyCHx9X+1vkq1dTwrEE+BdfTM2rSLcgFgQwnw/Cyy8D29tAff2h45V7elL3RHqmK5kEt78P6dq1ktZkFIwiVoTnnwcODjI3BDgOzOWCMDqaei48zJgUA8dxcDqdcDqd6OzsxDe/+U2cO3cO8Xgca2trmJiYgM1mU++Dht3dlFjN7kuyWFIZ4YeT2qsRcgPLj1MrVoBHJUwejwd9fX1FN/jmQhAEwwSVuShWrIRCIQwMDMDr9WqWLdBiXXpSiFiRJAmjo6PY2trCzZs31RS3lmsB9K1jLWQt+QSDy8vLGBsbw7lz59Dd3a35/VDp0jjd7u94HJY/+RPwo6Mp/36bLeVA9Xd/lyrTKdT1KQcFBfMmExK/9Esw9fZC+MY3wMViEF//ekhvfWvJddnFwC0tpQL/dGt0QQDzesGPjgLveMfhf8RYqhfi618Ht7EB+dw5iN///Y928AvF6YT0lrekJozL8okCkp09C+b1gtveztjp5ba3werrIWdZBJtMJjQ0NKChoQFA5jRxxV1JCdhOLJXRmlAI5k9+EsLwcGreC8dB7ulB8qd+Cqy7u/jPPeqa5LjU7j1SM2Wy+zfkxx+HdPduKtNmtYKZTOAiEciXL0M8ItNlKGQZ/MQEuNVVsLq6VO9HlvAzTM+KEitl2/U+HA7KNH43Mcbg8XjgdDrVfhdFxM/MzGAqFMJTJhPMKyvgWlthNplSvbnb25A7Oso3e2d/H/z0NCAIKRMSDWJKvcWKlpvNleTUipXp6WnMzMzgwoUL6Orq0vwBoFxcoihqKoK0olBRwBjD3NycrucMMG5mJZ9ztb+/j4GBAQiCUHLP01Gk76JWmpNEgizLGBsbw/r6ui7CTcFIpgNawg8OgpuagnzunFoyxJqbgYMDmL761dQ8jRJeYkXdv04nxHe/G+K73qXWqlcM5bma3SuTSBy5u2/6x3+E+f/9f1M7rRYLhO99D8LXv47Eb/825McfL34tPJ/XYERWXw/xHe9I2S8vLKTK6XZ3AZ5PZctO2OVMnyae7q60traGcDgMQRAwOTl5YsmYFpj+6Z8gvPhiqvfG4QASCfDT048mdhf5u+Xbt8F8vtQkekXQyTL4YBDiq1+dcixDjkySxYLkz/4s5IsXIbzwApBIQLp+HeL3fV/RA/nKRiQC85/+KYSXXkoZN3AcWHc3Eh/4ANi5c+qPGaVnRXr1qwGPJ5VBaWhI3X+iCG5/H+Kb3wxoOPOIMXYoo5Qt4uPxOOLT07B85jMQp6YQs9lgjcXAOxw4ePe7YTKbobfEE77+dZj/+q9Ttu4cB7mrC8mf/mnIJbrp6SlWotFowXPNjMqpFSs2m61k56rjSLcHNiKFiBWlVE6rJnGt1lUu8unv2djYwNDQENrb23Hx4kXdXihaWimXynEiIRaL4f79+2CMoa+vr/S5EsdghDIwPYQ7Fw6Dk6RDJUOoqwO3s5MKaiqQwuc2N8E//zz4qSkwlwvy9eupF3KZM33y5ctgfj+4xcXUzulDK2UuHoeYNkhP/W6CQZg+/WmAMbALFwAATJbBT03B/Od/jvjv/V5Z+m6S73sfmNcL0z/+I7gHD8AuXkTyHe+A9P3fX9DnZLsrTU9PY29vD4wxTE1NIRaLwWc2o8Fqhbu3Fy6fT7vrNByG8NJLKfGsCEOLBXJPD/iZGfAzM2ojfKGwpiYk/v2/h+UP/xDc3Fxq4KUkQe7oQPLnf179jnJWLdjtkN74RkhvfGMpR1d2TP/4jxC+/e1UX5jLpQo/y//5P4j/l/+iCnOjlIGx+nrE//N/hvV3ficVnD/cMJDPnkXi135N29/18Nl+XMButVqB/+v/Anf+POyf/zzk1VVEL13C8qtfjYXGRgjf+Y5qWuHz+TTfSOSHhlKbIMlkqnxRlsHPzaWa+0t0I9OzioLKwKqAzs5OXYNijuMMGXgr5Lu2UCiEQCAAt9utS9lXNkbNrBy1JsXdanFxEY899hhadG7iM5JYOUokBINBDAwMlDRPRot1VDuspeVwQzuQque/dAnQQAAWet64tTWYP/lJ8AsLkN1u8LEYhIEBSKurEN/+9pLXUwisuRnJd74T5s99DtzoaOo6sNkgvupVkHI48gijo+C3tlKZAAWeh9zcnCq/2dzUvSk/tRAB4jveAfEHfxA4OEgF+xqICJ7nYbPZcPHiRWBvD/ijP4Lw5S9D3t9HxOPB1Otfj8Rb3gJ/fT38fn9JARsXj4NLJCBnb/ZZraneAcXWuUjEn/gJyOfOwfSlL6Xssq9cgfj2t2eU8xgly1AyBwcQvvvdVMZIKWm0WCD39oKfm0uVgV6/DsBAZWAAxHe+E/KVKzD98z+nyq0uX0by7W8/NBumVJQ45cTvWrmv3vGOlK0yz6MbQJcsIxwOIxQKYWVlBePj46pphc/ng8/nKzkDKTz9NLi9PciXL6t/Jp87B358PNU/9653Ff3ZeruBkVghDC1WTiptYoxhfn4e09PTOH/+PM6cOVOWh6QRz9lRYiUWiyEQCCCZTOLevXtlcdVQZuQYQaxkn5d0V71S58kUwmkVK/Lly5CuX4fw7LNgTU1gD3tWYDKlGtpLfIEV890IzzwDbmEB0tWrAM+DITXJnf/Wt8DdvHl0Y3n2715bA7e8DOb1pspcirxO5KeeQqKnJzXFPZkE6+xMlc3lOjdKqVZWnT33sM6+1PNZMDxfWmYsFoPwzDMQvvc9IBKBt6kJOzduAJcuwfpf/guEr30NcLvB/H7Yd3bg//znsdLQgPnr1zExMQGHw5HhMlbIpgLz+yG3tYGfm4OclmnnNjfBfL68r4MjycMG1qj9oAUTiwHx+OHNB4sFnCiqluHKs9ZIAk2+fBmJtABdl99RzHGn/SzP86ooOXv2LJLJZEa/y8HBAdxut5p5cbvdBZ9jfm0NLPv743mA48AFgwV9VjqyLIMxRm5geUBipQSMPBjyuNKmdIe0O3fuwKth/elJVEtmRTFn8Pv9uHXrlq614fmspxKkiyZRFDE8PIxQKFT2a6Yg8TY/D/6b3wQ3PQ3W2AjW3w9282b5bXfzQRCQ+Pmfh7m+HsJzz4Hb2QFrb0fybW/TbP5FQSJPklIzOBoaMoIB1tAAfmMD/OIipJOC1FgM5j/9U5i++lVwe3tgdjukJ55A8pd/uWhLZtbUBCmPfys99hjk1taUSOruTn3nkgRucxPiq16VOq5qQZZh+sxnYPrmN8EcDsBigfvb34Z1YgJCMqkKXDzMfDC3G8LCAjq+9jU0vP/9SDKmzrSYmJhAPB6H1+tVxUtdXd3xQsBkgvimN8HyyU+Cn5hImQZEIoAoplzYdOpPS+fUiBWPB6yjA/zYGFhaVoLb3gbzeCA/vKeUe9VIYqUcKM92rb5rs9mMxsZGdeB3LBZTLZKHhoYgy3LGveBwOE783fKZMzC9/HLqO1J+VpJSJaclVFsoG7ckVk7m1IqVWs0SKBy1tp2dHQwMDMDlcmnukFbKuipJujhIzzhpOV+mEIySSVDWsb+/j/v378NsNqOvry9VP1zmdeQjVrjxcQgf/Siwuprq+xgZAZ59FvJ73gO5HNPXi8HnQ/Lnfg7Jd78bXDQK1tioicNMUfB86ncrwyEVlHsjjxeq+W/+Bua///vUznxPD7C/D9MzzwDJJBIf/rDm2Y2M+8TlQvIDH4Dl938f/OSk6i6lOFgZUrAeAT85CeF730vVxz8UJAc2G2yTkxC+/OXUbn1ra8a/YV4v+LU1cOEwzPX1aGpqQlNTExhjGS5j8/Pz4HleDdb8fn/Oe1q+cwcJiwXCN74BfmkJ8tmzkF75Skj9/WU5B0eWRDEGRKOpBv98n0WMgZufBxeLpfpGyjnVm+chvvnNsCwsgB8fTwm9aBT8/j6Sb3mLmqXSOmivFpSeDb2O22azoa2tDW1tbWCMIRKJIBQKYXt7GzMzMzCZTGrJ2FH3gvja10J45hnwk5OpGUqSBH51FXJ3d0n3g/Kd6yFWlFk2VAZGGDLwVsheW3oJj14Ws/mQr/NWOVHESjKZxPDwMMLhsO5GA/msp9Io39Wzzz6Ljo4OXLhwoSK7fnmJN8bAf/7zwNoa2LVrjwLT5WXw//APkO/dA4rYDWaMYXp6Gg8ePIDf70d9fT1cLpf258Hny9h11YKC72+Og3T7Nkx///epLITdngryFhfBGhshn2RfvL8P4ctfBnO5UqILADweyDwPYWgoNSzx6tXiDiZPpNe8BrHOTpi+9a1Unf2ZM5Be+9rqyqrgoW1zLAaW1TMiut3gNjdToi+RyAjWuYOD1LnPCk44joPD4YDD4UBHRwdkWcbu7i6CwSBWVlYwNjYGp9N5uGSM41LmCk88kdpFfvhnx5JMphyvQiHI586VZHmdK7PCTU/D9KUvgZ+YAMxmSLdvp0omj7l3uIUFmP/4jyGMjKRKCZuaIP7Yj0F8y1vKJmDlO3eQEASYvvxlcIuLQFMTEq9+NaQ3vEFdQ9nKwPb3Yfrc52D69rfBBAHSG94A8W1vq5jzn549G9lwHAeXywWXy4Wuri5IkqTeC4oFv3Iv+Hw+1XGPnT+PxK/8SsoNbH4e4HlId+6kzDRKyDIqx65XLBaJROBKt36vYkislICRp9gLgoD4w6m+yWQSQ0ND2N3d1XQwZjHwPI9EIlGx358LnucRjUbx7LPPwuFwVCTjlL2eSosVZfClKIp44okn0Jq1i1tO8rIuDoXATU6CtbZmBiCtrcD4eKosrMCXSjKZRCAQUO0fw+EwVlZWwBiDz+dDfb6NzLIMbn4e/OYmmM2W6rkoU2q+0Ayd1N+favodGkqVUMky5IaGVHP9CfawXDgMLhLJnIsCpI51ZQXc9nahyy8Kdu4ckml2sKXCDQ7C8ulPp0rkXC6Ib3sbxB/6ITXjoQuKCJHlzPp8UQS7eBFyPJ5ya+voSGXDwmFgfx/ij/0YcML1yPM8vF4vvF6vWuOvlIyNj48jmUzC4/Go17fT6QSXRxksPzkJ62/9VmrAaTIJ5nRCfMMbkPjt3y7KLCK7wZ5bXITlT/4E3NpaqgQuHk85ri0uIvkrv5L7uPf3Yf1v/w38xATk1tZUn8jWFsx/9Edgbjek7/u+gtdVLPLNm0jcuJHqX7FYDmUZy5JZ2duD7f3vTwnKh7/P9K//CuHf/g3xP/zDigiWSjqgCYKg9rv09vZm3AuK457b7U4J+XPn4Pof/wPC2hpgMqUcwEr8rvQWalQGVgWUqwzMyD0rkiQhHA5jYGAAdXV1FQ/ClXVVOhDPJhaL4f/P3neGx1Vda797nzNN0qh3ybKK5W7cO9jGNBMIvSUEElJI40tPbnIJhJAbElJICGmUJEDondAM2Njg3tSr1Xvv0rRT9vdjzYxm1NvIwuF9Hh7Almb2nDllrb3e0tzcjIyMDGRkZJzxMfyZblYURUFeXh76+vrAOT+jjQowwcmKLNPO79DNA02jomCSmqO+vj5kZ2cjODgYGzduhBAC8+bNgxACfX196Ojo8CYte4TMUVFRCAsL8x/pOxyQX3uNkrk9+QqJiVCuuSYwQYuaBn7yJKTcXCTW1sK0cSNw6aUT//whIVC++EXw4mKwxkbAbIa+eDE1geNAREZSfkZHh/9EoLcXCAmZFrd7LATyepVefRWme+4h4wP3ZEHKy4N07Bicv/1twOhE+tKlEDExYNXVpL/hHKyvD5LDAW3rVqg33gjjPfeAV1RQYGNwMNTLLiO62yRhMBhGpYxVVVVBkiTv1CUiImJkGqjDAdOPfkQ0mfh4wGQiOtrrr0PEx0P51rcmva6hkxXpwAGwxkaaznnsjSMjIRUUQMvNhT6SQ9yRI2Dl5dDT0730SpGSAl5eDumNN2a1WQFA6x6lmfQ0Z4E8nw1PPQX55EkyTfDUAnY75N27oe3eTROWWcZcsWsG/K8FYDCktaurC3V1dd6NqsjISETYbBPSu4yFQGaseCjcnzQrn2BO08AYY+jr68Px48fPKO1rKOYSDUzTNBQXF6OnpwexsbFYMIO7sdPBmWxWfIv01atX4+jRo2dkHb6YULMSGgp99Wrwd98lOpXB4OWpi6QkiMWLJ/x+LS0tyMvLQ2pqKhYsWAAhhHcayBhDaGgoQkNDkZaW5t2J6+joQHFxMRRF8T7MIiMjYT1+HNLhwySiDQ0FVBW8shLya69B+cY3ZjZHRVVh+OtfIe/eDTidiB0YgOHIEUglJXB95zsT3zU1Gon6s3Ll5N7fbIb66U/D8PDDYA0N1LgMDADt7dAuuGB8GtkcA6ushPHRR8G6uqjRkiRAUcBsNsgHDkDbt4+oRAGAiI6GcuONMDz/PHhxMQDA4HKhb8MGyOeeC5hMcDzxBKSTJ4HuboiMDErUnuY9fiTKWE9PDzo7O1FXV4eioiKEhIR4z29Pcy4dOQJeWUnTC0/AaXg44HLB8NprUG6/fdyJz7BjMKRZ4adPUxPs+xlNJsq8aGzESHdM1tICJgTEkE06ERICXlMzPHD0DGI2bIvl996DYMxfF2exAH19kPbtO2PNSqDt76cK35BWz0ZVV1cX2traUF5eDoPB4Kd3mexmcCCbFbvdDiHEJ83KJ5i7zYqiKGhqaoLNZsP69evPKO1rKObKZMVmsyEnJweMMSQmJs6pm+WZEtg3NjaisLAQaWlpyMjIgMPhgBDijLvyTPR46NdcQ1z/0lIqQoQA4uKg33LLhJoCjz6lurraL1NnrPceuis9MDCAzs5OtLe3o6KsDItefRVWVYWBcwTpOrgsQ09PBy8vp2C96aSqD4F0/Djk3buhR0UB4eGwtbcjWNdh3LMH0tq10HbunLH3Gg3qNdcAmuYNRITZDPWqq6B88YtzpiicKHhJCVh9PRXEnvuDwUD/bbeD5+YCAWpWALfOIT0dvKgIcDrRrKpQMzIQ4ZlsGI0z5ho3Gry2sFarlybjmbp4mvPw8HCklpYiQVWHmUMIsxlsYICc4SbZrAwt3kVEBHhlJfyuRvd1PlSn4/3r2FgqzhXFr1ln/f0z0txNCkKANTdTXkds7LAU+FmZMIz17J2tWkYI8Jwc8IYG6PHx0JKSJv65hQC6u+k8m2XhOBMC4fX1iOjoQFpMDJTly9HT1zeskfc0LhOxCw9kszIwMAAAnzQrcx3/rW5gHtqXLMuwWq1zqlEB5sYxa21tRX5+PhISErB48WKUl5dDUZQzuiZfzPZkRdd1lJaWoqGhAStXrvSOwD3X0MelWUFCArQ77wQ7cYIoTKGh0NeuBZKSxv1VVVWRl5eH/v5+bNq0aUqiRMYYQkJCEBISQuJNux1izx7YbTa0t7dDURSYLRYEBwUh1OkEm2aw3lDwU6eoKPMpgvSQEKC7G9KJE7PSrECSvOJl1tIChIdPX9w+MABeXg5hMkEsWjRrBSZTFKLPDb0WGaM/mwVXPBEVBe288wAA9pISGGaTLqPrkA4fJvpVZyflruzYgbjVqxEXF+d1G+rs7ERHeDgidB1qSwu41QrZYIBBlsH7+iDmz5+SecTQ+46+aROk7GywlhbSrGgaeHU1RGwsTQJHgLZpE0R6OmnWEhNJs9LaCiHLUD/1qSkfmkmjqwuGZ5+FlJMD2O0QYWHQduyg4FB3EzUbIZjqRRfBmJPj37w5nSQY37EjoO8NUGaT8c47IWVlgTmdEEYjYjMz0TYB+iI/cQKGJ58kcwVZhrZtG5QvfWnQzCOQ6+7ogOHPf4aUn090XosF8sqVkL7xDUS6GRkul2uYXXhYWNjglN1qHfYcDWSz0t/fD0mSphUOO5dw1jYrswFZlr0i9jMNIQTq6upQWlqKjIwMBAUFobKy8kwvaxjOJMVJCIGysjLU1NRg2bJlSExMPONrGgmzuR6n04mcnBxv8KWvzaHnwXmmbZQnNWmyWiF27sRkVjwwMICsrCxYLBZs3rwZhhkSmUoWC+SlSxF8/DgiU1OhKApsNhsczc1o7e9HdV0dgoKDvULmaevJhurnPA9Gxsg5ajZhtQ4X2k8WQkB++mkY//53anwYg5aZCdedd0J3TxQCeW7qyckQ8fFg3d1UoJjNtPtss5E4O8BTjaGY7U0DafdusqGWJMBohLx7N+SXX4a+aROUG2+Evm4dgoOD6Z5xww0w7tsH84cfQhECLkmC3tsLzjlaL7oIrLcX4eHhkyrGh35ebcMGsKYmSO+9R9Q4xiASEqB85jMQcXEjv4jVCuf//i+Mf/4zBYuqKkRUFNQbb4R2/vnTPUQTg67D8PjjlI2TmEhapM5Oct2zWKC5p3OzQQNTbr6ZBPUFBYP3SMagbds2K82b8de/hnz4MPS4OMoPstthzslB2j//Cfg4ow0Fz8uD6a67iJIZFQUoCuSXXwavrITjwQenZOAwYQgB+Z//hHT0KPTUVDIM6euDdOgQDEFBUL73PfpsRiPi4uK8jbzdbvc2L7W1tQAwqHeJiIDFYgkoBc5jWzwX6P8zgU+alWlgrgjsfQP71q5di8jISLS3t5/xCcZIOFOaFafTidzcXDidzmFp9HNJRwPMXrPS3d2N7OzsUYMvfScrZxKTCoWcJNra2pCbm4t58+Zh4cKFk7+xCwFWUQGpqIge+itWkCDaDW3LFvCKCvCiIhijomB0OMB0HcoVV0A+/3x0uoWbRUVFsFqtXqH+VFKW9RUrgHfeoQwKt/CbORyApkFfs2Zyn2sOQHr7bZh++UvaibZaaac/Nxfmb38b9mefhQiwxkxfvhzqpz4FQ1sb2QV3dYHpOkRwMJTPfAbaGOnrU3tDHdK+fZA++ADMZoO2Zg1pYtwubLParHR1Qd6zByIkBCIsDNKHH4K3tgJOJ/ibb4KXlEC58Uaon/scFZicw/nrX8P4xz/CuGcPjE4n9PR0dFx1FVrOOw+dRUVQVdVPzzWeOHnY5+Uc6tVXQ9u0CbyqCkKWoS9ePK4rm8jIgPP3vwerqACz2yn/ZxbtXFllJaS8POgpKYMhngkJVHB/8AG0Cy4gI4vZoIFFRMD+9NMwPPccpH37KPzz0kuhXnddwCeFrL6e9HuRkYMUrqAgqJGRsJaUAGVlRM0bAfLLL9N0b8GCQXOFsDDw/HxIBw+SBXSg1t3QACkrC3pS0qCLo9UKkZAA6dQpqE1NwwxIfLVfvnqXzs5OtLS04PTp0zCZTDAajV5N5EybH/X393/SrHwc8N9CA+vt7UVOTg4sFotfYN9cWNtIOBOala6uLuTk5CAiIgJr1qwZVpRPyBp3FhHoZsV3CpeZmYn58+ePeL14HpxneuoUCA2PEAKVlZWorKzE8uXLp+Z4puuQ//1vyG+8QeneQkAOC4N6/fX08GcMIj0dyq23egXIIi4O2rp10DdsQITRiIjISGRkZMDlchGdpqPDm7LsG9pnmcDOobZ1K7TNmyEdPgzIMiwDAzC4/1zdvn3yn+9MQggYnniCphjx8V6bVxEUBNbSAsMzz8B1992BXYPJBOW226BnZkJ+4w3w+nroyclQrrkG+vnnzywdTQgYf/tbyC+8AKaqEIxB3rsX8ttvw/mnP80K1cUXvLERzJ2VwvPywFtaaEdb14k2JEkwvPoqtM2bB5vGiAi4fv5zuL7zHbCeHoiEBASbTFiKQWcizzleUVHhFSd7dpp9i7Wx0txFQgK0yV6vnENkZk5q4jpTYF1dwMAA4LOJAbiL7d5esvuerWYFAMLDoXzta1C+9rXAv5cPWGcnTXiHNJeayQS5uxuis3PU35UKC2nDYiRzhcpKBLLSYb29lHk05BoUwcHgPT2kxxrnfPQ1ZklNTYWmaeju7kZVVRXsdjsOHjzope37GldMBwMDA2dNICRwFjcrs4Ez2RD4Fpzp6elIT0/3t3mco83KbE4xfIMwxyvK59KxCuQkQdM0FBUVoa2tzTuFG2sdwJlvVma6mVRVFfn5+ejp6cHGjRsROsW8DOn4cRheeQXCaiW3LwCsuRnys89CX7TIK54XaWlQ09IGbZRHOAeNRiPi4+MRHx/vtwvX3NyM06dPw2KxeKcuowo3LRa4/ud/IH/wAfjRo+hvaQHbsgWh1103a7kuMwZVBa+rI82IbwHn/n9++rT3jwK6MRUcDO2SS6Bdckng3gMAz86G/MorEMHBXn2HUBRIeXkw/upXUK+9FrLLBZaWFtB1eCDMZnLQstvBa2pIHO92QwPn0GNjwauqIOXlQR064Roh4HSYnsttq9/Z2YmamhoUFhZ6J4uRkZHeyffZsCssoqJoktDbC/gEDbOeHoiICC9dcjY0K2cS+rx5gNVKn9utiwQAqbcXelCQ30R6KER0NHhTk3+zqetkrhDg8GY9IQEiLAyss9OvKWEdHRDh4WTVPUlIkoSoqCh0dXXBarUiLS3Na5HsMa7w1buEhIRM+lrwNCtnwzUEnOXNSqBdlc5UKKSqqigsLERnZyfWrFmDqBHC7uZaAe7BbE1WfKlx4wVhzhWHMg/8inOXC6yoiB50cXGUzTHFB5rdbkd2djYYY9iyZcu4wru5RAObqTXYbDZkZWXBaDROO3eIHzkCOJ0Q6enePxMJCeBFRZCOHx/u9DXBnbKhu3CqqnrtkUtLS+FyuRAeHu5tXvzoNEFBUC+/HLj8clTn5hKlbKqUF7udgvcOHgTPyaHE8M2boW3dOuHPMmXIMkRsLBkl+ELTACGgj6ZR+JhCOn6cEuh9Phez2YD+fsj/+Q/Q3Y0kTYNzxw7gC18IuMmASE2FvmABpLy8QYMBVQWz2YgOM03KkG92CwDvZLGzsxOFhYVeenVjYyNiYmKmnWdxJiHS0qCtWgXp4EGIhASIkBCwjg6wgQEo11zjPZazoVk5o4iIgHLddTA++ijQ1ARhtYINDIDbbOi4/HKEjlH0q5deCmNeHlh7OzV/mgZeXw8REwMt0FPjiAiol1wCw7PPUthpaCgF4DocUK6+elrhsB6B/dDNKpvN5tW7VFdXD7ryuScvE5m0fzJZ+QRenInphScHYyjta6S16bp+xp2chmI2mqi+vj7k5OTAbDZj69at4xakc1ZgX18P6R//ACsrI2GoxQKxejX0226bNOe6vb0dubm5iI+Px5IlSya0g8cYO2M2ykPXMRNr8ByDxMRELFq0aNq7mKy3d+TsEs6J9jFDkGUZMTExiImJ8Xdg6uhAZWWll04TFRWFiIgIr0HAVK97VlkJ6aOPwE+fhnToENFYQkIAziG/8w7Uyy+H67vfDWzDwhiUm26CqbCQ3JsiIwFNo91NqxXq1VcH7r3PNIQAa28n22SXCwgOhliyBHpJCUL37QNfvRr6qlWBXYMkQf3MZ8AcDvCaGkqN7++HHhUFPSUFrK0NsFqhrVgxI283tFjr6elBVlYWurq6UF1d7T3H4wYGEFVQAEN1NTmlbdwIff36uW2LzRiUL3wBsFjAT50C7+mBCAsjkf/FF3t/bCZoYKyujjZQ0tICv6EwBShf/SpgNkN+8UWasISGovXSS9F5/fUYq+RXL78crLoa8n/+Q0GojEHEx8P1/e9PKLB2ulCvvx4IDob07rtg3d0QsbFQL7lk2qYEmqYNM3RhjHmNKzxZR0Mn7Waz2U+sP5IpzNkUCAl80qxMC7MpsBdCoL6+HiUlJd4cjLGKEQ9NZK4FLgW6ifJkhXgC/SbyHnOyWVEUSM89B1ZcTNMUkwno6wM/dAiIioJ+880Tei0hBKqqqlBRUYElS5Yg2U1XmtRaPuaaFSEEqqurUV5ePqVjMBr0ZctIH6KqgwnxLhft/I8iFJ0ufB9k8+bN83KfPWnjhYWFCA0NRWRkJBRFmfRxY7W1MDz5JBXL7e3gdXVECTIYqADq6YH09tvg5503YmL4TEK98UbwmhrITz0F3toKwRhEbCxcX/ua1w1synC5IB0+DF5RAREeDm379ulbLE8D2oYNEP/6F9DVRToGt5gdQkDY7eCFhVCioxHU2AienR34ZgWASE6G6447wEpLYTh9mgI+e3rAW1qgZ2ZCvfnmgJgceMTJAHCOezrZ09ODgZMnIT3xBHrb2oDwcFiEgPH4cfAbboB+BsIMJ4WwMCi3305NnocGNWRHfjo0MF5SAuNPfwopK4vOmeRkOH/yE2izac88EcgylC99CcpnP0s0qshINNfUjLrp6oUkQfn2t6F++tOQioshTCZo69f70eoCvW71iiug7tpFGhWrdVim0FQwkfqMc46wsDCEhYUhLS0Nqqr63fMLCgpgtVphtVpRUVGBnTt3wmKxeAX2ZwvO6mYl0LvCszVZUVUVRUVFaG9vH5X2NdLagMD6eE8Fvna4M9ms6LqO4uJiNDc3+2WFTHRNZ7og9wVjDIaaGsoGSEsbpFxYrWR7eewYcMUV405XfLUZGzZsQNgUbuxjXkOtrWC9vRTINpO7Ww4HceNDQoBpTnc0TUNhYSE6Ojqwfv16hA8JYpsOtPPPJ5ekkhLi6AsB1tMD/ZxziCo1C/Bwnz33BIfD4Z269Pb2oq+vD729vV7KzXhFgXT0KFh7O/QlSyC/+irZ9YaFkX1vXx9EeDhYSwukU6cC3qyAc7h+/GO4brkF8kcfQRgM0M89lwT3bkzpvOjshOknP6HCzsN7f+wxuO66a3Q7Yo/4NyIiILv4+urVUK+5BoZ//YuKOAAM8Lpx8fx8yKtXQxiNNNGbJRgfeQTyiRPQ4+PBhAD6+qiJkmUoHiewAMBXYM8YQ2REBOKKiiBxDtd558HucKDfbodeXw88+SSaQ0MRmpHhpcjMJTaBL0RMDDCKWcKUJysdHTDfeit4QwPZATMGXlkJ8//7f3CEhkI799xprjoAsFgg3JtGk/ncIj0dqg/tdtZhNBINbYYwlfpMlmVER0cj2r254nQ60dnZifz8fHzzm99Ef38/Vq1a5aVaBtq44S9/+Qt++9vfemuvhx56CBs2bJjx9zmrm5VAYzaaFQ+lyWQyYevWrePvQLjhOTnnmm7Ft4maqQvIbrcjJycHQghs3rzZuys3Ucy1ZoVzTvaz7vApP1gsQE8P/f0YzUp/fz+ys7NhNpunpc0YUezvcIC/+y5Ybi7Q3w8EBUEsXQr90kunZwna0QH+8svghw8TN3jpUkqlj46eUlHq0ehwzsekTE4VIioKrjvvhPzGG5ShIEnQLrsM6qc/PS0e8zC4+dEiOnpcaofZbEZiYiISExORl5cHs9kMWZZRX1+P4uJihISEeCljYWFhw65BXlkJER5ORagQ9G9Zpv/2ZErNdiGYlAT1M5+ZsZczPvoopGPHIJKS6HrSNLDaWhjvuw/2Z57x++5YXR3kd94BLy8HAOgZGVB37YKYP3/G1kNvxOD64Q/B8/Ig5eRQ6rrNRhQXgwGsrQ3GlhbwoCDomZkz+96jobcX8muv0TGKiiJxc3Q0YLOB19eD5+RAX7cuIG897J7T2+t105NlGdaQEFhDQiCioiAKCqD29qKhrQ1lZWUwmUx+LmMzlZsUaExVs2J45RXwxka6bt33B2EygXV1wfDYY3OzWfHBXGN/zCZmYjPZZDIhISEBCQkJqKysRE5ODnbv3o0nn3wSJ0+eREJCAi644AJceOGFuOiiizBv3rwZWj3w/PPP43vf+x7+/ve/Y+PGjfjjH/+ISy65BKWlpZPaMJ4IPmlWpgFZlgNKafIUGJOhNHnAGJuTjmC+TdRMPETa2tqQl5eH+Ph4LF68eEoX/lxsVlzR0bRb39YG+Ipu29ogUlKAMXZ3WlpakJ+fP/XskCFrGdoosP37wT76iAqpxESgrw/s6FFwxqBff/3U3shuh/Tb34JlZVFRLstgBw5AKiuDfMcdk/5+Ojs7kZOTg7i4uAlrdKYCER8P5StfgfLlL9MfzOB9gLW1wfDEE0Q1UxToqalQP/OZCYcRMsZgsVgwb948pKenDxMxa5rm5T1HRUXBYrHQLn5bGwQAPS0NvL6eplwAaXF6ewGjEfrq1TP2OWcVNhukvXupIfFsBEgSRHIy5UAcPUo6AocDaGuD4fHHwWprKf2cMfBTp2BobobyjW/MvJ0w5yQYXrQIIikJvKCA7F5NJkBRYG5pgWPbNkgB2LUcCayjA8xmo916X1gstLHQ3IxA3TU9z1TvvctDs+zooP8ODaWpq6ZBMhoRn5KC2JUrR6RFel3GIiIov+hMFcadnZDcwZR6Rob3nPJgqjvgvKyM7tG+n4sxCFkGLyiYiZUHFDO5cRlQCAHW1EST2ISEKRvd+GKmmS+cc6xZswZr1qxBS0sLwsPDcfXVV2PPnj147LHHcPvttyMjIwMXXXQRLrnkEnx6mvTJBx54AF/5yldw2223AQD+/ve/46233sI///lP/PjHP56Jj+TFWd2sBHoU7DslGJrdMR340r5Wr17tHfdNZX1zsVmZCWteIQTKy8tRXV2NpUuXIikpaVprmkvHiXMOZ0QExI4d4K+9RjusVivRQwwG6JdcMvjw9oEQAmVlZaipqcGKFSsQPwVLxaEY9l319YHn5FCh5rE9Dguj4qK4GGhtBaawo8KOHwfLyyN9jtulTERHgxUUwLx/P8T69RN6HSEEamtrcfr0aSxevHjGdpHGvZfM9L3G4YDxl7+EdOoU7R5bLJAKC8F//Ws4f/Yz6GvXTuhlfBvNoSLm/v5+dHZ2orW1FWVlZTCbzUiJiUFiTg4MbW3QlyyBXlkJXllJRgLt7WAGA9Rdu6DNUsE8EUzqPu9wgLlcZMvrC1kGEwKsuRmGhx+GdOwYWGMjWG8v1PPPJ4E/KBtDKioCz872E0fPFLR162AoKqJmcckSyjtpaICQJHRu3Ajl5pthniVtjYiOhpAkKtDMZqLuWK00YTObKeQwUO89ZANQOnoUPCcHvLoaCAqCHh8Pbd068I4O6MnJXo3YUFqk0+lEb24upEcegSEnB/2yDNuWLdCvuQbhKSmTnsJPFdLhw5Cff540K0IAYWFQL74Y6lVXDWYITVGzIuLiBqmyPseMKYrXUn0uY9byZaYBVlYGw9NPg5eVUbOSng7lppugL18+rdcN5FRpYGAA8+fPx3nnnYfzzjsPP//5z9HT04P9+/djz549ePbZZ6fVrLhcLpw6dQo/+clPvH/GOceFF16II0eOzMRH8MNZ3awEGp6TTFXVGWtW+vv7kZOTA4PBMCF72bEw14pwD6a7LpfLhdzcXNjtdmzatAnWaaYRz0XrYl3XoV9zDUREBPj+/UBvLzkCXXghxAiFoueYOBwObN68ecZcQIZNVgYGiII2tCEJDqZGpb9/as1KXR09xH3Pd8aAsDAYy8ogJkA30XUdhYWFaGtrG9euerLwHIMpbYA4HOAFBeA1NYAsUwbLwoVj7sxJJ05Q6nVamveY6GFh4KdPQ379dbgm0KyMtVbGmFeUOX/+fK9osyMsDOXV1QjNzUWwqsKUlARzQgLksDAK49u8maxCp/qAFQLS3r2Q33wTvLER2qJFUK+5ZvYmNRER0DMzwU+donwGzzHq7oYwmyEdPAheW0vTPYcDrLUV0kcfQb3wQiA8nKYfJhNYQ0NAlqddfDGkY8fAS0shQkIAXSfXq6uvRt3FFyN6hqkVY0HeswcIDqZmyeUC+vtp0iPL0HbuhD5DTmAjwbdZ4cePw3j//RSWGRkJ1tcHqawMvKmJHJluumk4XdYNc2srwv76V/DqaugREdCdTmhvvomOykqcuOEGGEJCEBUV5aWMzeSmowesrg7y008Ddrv3umetrZBff50aLff9fKo0MOXqq2F45BGwri6I0NBBN0JJgjJBI5ZpweGAtG8fpJISiNBQqBdcMGZmylBMpllhDQ0UVpqURPqxWQBrbYXpD38Aq6uDnphIOU/5+TA2N8N5113TooQGcqpks9mGCezDwsJw5ZVX4sorr5z267e3t0PTNMQNsZGPi4tDSUnJtF9/KD5pVqYBz5RgphqChoYGFBUVYf78+ViwYMG0T+K5OFkBptccdHd3IycnB2FhYdi8efOMUMnmGg3MO82QZYiLLoK2cyftZlosI+7g9/T0ICcnB6Ghodi8efOMPnCHTVbCwqjI6+oCfHclu7tJrzJGyOSYsFrBdB1C1/2LeLsdemTkuJoVh8OB7OxsAJh2kz+jsNkgv/AC5VVwDug6pMOHoe7YAW3XrlEnMqy2lsTfQ5o3ERYGXlIyqCcZBxPV+viJNpcuhaOqCv0lJWi22dAUEgIWHOwt6iIBTPWqk//9bxgffpg0SRYL5MpKSIcPw/Wzn0Hbtm2kDwBWWQleVgamqtBTUqAvWTKyZfRE4LaRNZWVgVVV0TnrcACaBm3lSvCGBioojUbA4YDo6QHr7oZUVkbuQwBdi5M4z3luLuR33/UaF6iXXz4qhUzExsJ1112Q3n2XpmpmM7Rzz4V6wQXQS0pmTTjO6ush7dtHLmVRUUQncjrBFAXa8uVw/PrXAdUu+U4Z5P/8B6y/H/qCBYCuk9nDwABYRwe0zZvHbJrkt9+mRmXRIkCSwAFwmw0JNTWIMJnQtnAhOjs7UVFRAbvd7nXSi4yMhNVqnZFCUsrLA+vogL50qfeYibg4Oq+OH/drVqY0WUlPh+PBB2H+n/8B6+ignf+gILi+/nWo11037fWPBdbRAdO3vgUpN9ebx2N47DE477prwk5kE5oudHTA+Kc/QTpyBMzppKboiivIEjrAmiTp8GGw2lroixd7N2l0q5XytA4cgDrNZiWQk5VP3MA+JpiNG/tMBEN6UsVbW1uxatUqxMwQF3quTQw8mEpz4EvvWbBgAVJTU2fs+/VMD+ZKJs2waYYk+TcGPvA0uOnp6UhPT5/x9Q9bi8UCsWED+JtvQtTX025zXx/tdl10Ef3/FKCvXw8eFwdWUTGYEdDaSsXlueeOWXR3dXUhJycH0dHRWLp06fRv/p5zcyYKlexsSDk50DMyBhuPzk7IBw5AX7TIL1DSFx53MT9bZIAogfPnT6hQnM65YE5LgzktDdEA0nXdqwOorq72s0eOiopCaGjohN6LtbfD8PTTELIM4abnCSHAq6pg+Mc/RgyblN5/H/L779PEzqPDW7uWdtOn2JBqW7fC8ZvfwPDss+AFBRAJCVCvuALMbgd/+WWvJamIjgYaG4GuLrDmZkBRSMMTEQFt5coJvZf8wgsw/u53YO714623IL/0EhwPPTT6dx8bC/WWW6Decsuwv5ut+xOvqSH3tyVLoMXHQ1u71tskICxsZg0kRoDfZKWighwHGSN9UVQUEBUF5nSC9fWN/Tmys4m65nteBQUBqgq5ogLR27d7adYeJ73Ozk7U1dUBgFfTNdEgvhFhs9G/h3x3wmSiY+rzmad679J27cLAuedCOnAAzOmkJjMxcWrrnQQMf/sbpKwsSnE3maiZbG6G6b77YF+/fkK6rnGnC0LA9KtfQTpwACI2Fnp4OFh3NwyPPw5hNo94ncwkWEMD3YOHaoLMZrpOpoFANyuBzFmJjo6GJEloaWnx+/OWlpYZoaAPxVndrMwGpju98KV9bd26dUZ3hOfyZGUy61JVFYWFhejs7MTatWu9qcczBc+Ncq64kkykmdN1HSUlJWhqapqWrmk8jKQvElu2QOcc7Ngxoh4EBUG/7DKI6bjOJCZC+9rXKATz9GkwISDCw6HfcAPUrVshTp0a8dfq6upQUlKChQsXIiUlZXrFXGsr+EsvgX/0EdFvtm6Fdt1107JlZkVFJFD2va4jI4GmJvDaWmijFKzapk3Qk5LAq6pIG2AwgLW3A0LQRGYWwTn3FmwLFiyA0+lER0cHOjs7UV9fDwDev4+KihrVdY0XFlJT67sTyRj0mBjw6mqw+npqxHp7iQqVnw/p0CHoKSkQy5bRz9tskE6cgMjMhLZ165QtrfUNG+DcsMFvQiW/9BL9v+fPQkK8lDE4HFQ0x8XRZGQCNBfW2grjn/5EgmpPg6mq4JWVMP75z3A+8MD4C+3pIZ0GAD6DQaPjQbg1PF4dhNkMER9PlDBZnpFGfsz392lWRHIyUfN8f0DTaIIw3n0vNBSoqhr64vSvIc2Hr5OeEMIbxNfS0uIN4vN1GZvoBFskJdHxcjoHbeh1Hby/H8rixd6fm3aCfUgItEsvnfrvTxYuF+R336VG0vO5OIeIiwNvbCT65LXXjvsy402UeGEhWaUnJnrdJkV8PNDQAMPrr9P0aKqN5AQgYmJo08h3mi0ETXiGUKAm9bpCBFyzEshmxWg0Yu3atdi7dy+uuuoqAPRd7t27F3fccceMv98nzco0MZ1gSE+AYUpKCjIzM2ecuzhXm5XJTFY8zZzRaAyI/axnPcDHp1lxOBzIycmBrutTsmqeDEbMOJEkiK1bSUfS10d6lRl4WIgtW6AuWwaWlwe4XBALFwLz5lEI15A1+DZrE80eGhM9PZDuvhs8P99r3ctfeAEsLw+u++6bvfAxDyIj4frRj2B88EHw2lpAVSHCw6HedBPUSTQrIxbzqgqelQXW3g6RmAj9nHMmVXyaTCa/oq63txednZ1obGxEaWkpgoKCvJSx8PDwwfuayUTvo6p+u5RMVSEkCTCZwBobYfzDH0jI2t4O1tIC1toKzWAgF7ygIMBoBM/Lm5ksG5/iUFu/HvLrr4NVV9N7cQ5oGkRGBpQbb4S+ejU1HRO83qQjR8C6u0nk7ONqJcLDIR05QhbkY5xX0uHDkN94g5pUxpAiBDDN5nmi0BcuhIiNBaupocaMMdLwdHZC27Ej4OnovoW7etll4CdPUqMUG0uNY309RHLyyNRBH6g7dsCYlUW01fBwKjIbGoDw8DFNIhhjCA0NRWhoKFJTU/2C+IZSxqKiomC1WkdtNLRVq8CXL4eUm0sTU1kGa2uDNn++3zn8cRCa+0FR6J+h5wLnVNjb7cN+hbW3Q37xRUgffghwDm3nTvCkpDE/N2tuptcaYhYgrFawnh7aMAtgs6Jt2gR5927w8nLo8+aRC11DA4XJnnfe1F/XXZsFouYQQsBmswU8wf573/sePv/5z2PdunXYsGED/vjHP2JgYMDrDjaTOKubldkYmU+lIdA0DcXFxWhpaZlR2tdMrG02MNF1NTU1oaCgIGDNnAe+zcpcwFjNiseSNzo6GsuWLQt4czWSdbEXJtPgjtpMISwMYsgDYGjD5HQ6kZOTA03TsGXLlqnTM3zA9+0DLyoiNzIPDSg2Fqy0lKxur7lmSq8rli4FKyyEcDj8aGAIChrXTUlftQqOv/0NPDcXzC3OnQy1Y6T7H2togOnee8GLigCXCzCZoK1eDdfdd08p7Iwx5peurCiKl0pTVFQEVVUH7ZEXLoRh3jzwmhroqalU1CgKWHs7tB07IOLiYPjTn8BLSqAvWgQWFERUH4cD0smTUOPjKZRNkqjhmWGI+fOhfPnLMDzxxKDrT3g4lJtugnrjjZOfJrgDJ4fBk2Ezxv2GlZVBfvFFeplFi8iYIDsbwf/5D9iSJdRMTQZCgGdlEf++rw/64sVQd+4cnbYZEQHluutgeP558MJCr1ZEj42l49/bG1AqmO9kRdu+HcrXvw7DU0+B5+d77ZT1qCjwrCxoF1wwavOkXXQR1JISyHv3Ai0tdNyjoqDcdhtERsaE1zM0iM9ut6Orq8uPMuaZukRGRvozJIKCoHz96xDvvgvp+HFAVaFdeCHUSy4hC1w3PnbNSnAwtBUrIB88OJjNBJAZjNkMfdUq/5/v7ITp29+m88lkonOyqAhL582DvHbtqOeTiI2le+fAAAUFu8H6+4HQUGoAAwiRkgKX5/yrrweEgJ6QAPWmm+janCI8z/iP62QFAG688Ua0tbXh7rvvRnNzM1atWoXdu3cPE93PBM7qZmU2MFnNimdSIMvyjBVao2GuNivjuYHpuo7S0lI0NDRMOo1+qusB5k6A5ojUKx/NzqJFizBv3rxZacbngvmA7xp6enqQnZ2NiIgILF++fMZu9KykhB62vpa2sgyYTOD5+VNuVrTVq8HKygYF9kIAsgx1xw7S5owHs3laSfF+jaYQMN5/P3h2Nu32BwUB/f2QjhyB4aGH4LrnHvo5pxO8qAi8ro6ssjMzqbCbwPlmMBgQFxeHuLg4CCEwMDCAzs5OtLe3o7y8HHGXXIIlTz8Nc1kZfXeMQc/MhOv//T+abuXkELXCYKDiRZYptb2nB6y1lYTJ/f3QPLQw+DRlmgbpxAly0rJaoW3fPukGTNu+HdqKFZAKCoi+5c48mQq09esHLcc9G1K6DtbVBXXHjjHdjKScHNKM+HxOR0ICQpubwfPzoU2yWZGfeQaGf/8bbGCAzsOXXoLxvvsgkpOhL11Kk6MhOhx9wwa45s2D9NFHZLvb1QXudML4l79Af+stuL7/fWruAwA/G1/GoN5wA9DfD8Mrr0APD4funrgann0W0PXRqZEGA5TvfhfaxReDFxdTc75mjTc9faqwWCywWCx+lLGOjg40NTWhtLQUFovF27iEh4dDjoigqei111KTOsImz1Sti88klK9+lSzVa2uJ7upygQkB5aqroPucuwBgePNNSIWFdO/x3GedToSVlUHfuxcYJfhVX74c2qpVkI4cgR4XBwQFgXV3g9ls5HYWwBrKu4b16+FcsYLCYXWdzB6myWjQNM0/S2iGMRvNCgDccccdAaF9DcUnzco0MZmGINC0r6GYq9bFYwn/PRQnz675rPngzyEzgqHTDE3TUFBQgM7Ozhm35B0PI9LAZhmeNXjMBGbaYAGA1yZ2GBQFIjx86u8VFEQ7cMuXkxjTYIC+cCE5Ts2ymQM/fRpSfj70hITBB21ICER0NO24NzdDhIZCfv55SCdP0uTFaASsVqgXXgjtwgsn9X6MMYSEhCAkJAQpKSnQNA1dK1ageskS8A8+IHrT/PnARRchIioKVqeTtEKeyVZ4OERiIlh9PVh/PxVEPT3Qly2DNtS6ua8Ppp/8hOhV7qmLiImB6+67x6UKDUNk5PDf6e+nIn8S9yORnAzltttgfPhholMZDJTxkpAA5RvfGPuXu7qGFbRCCNKS9PRMeA0AwKqrqah322az+npIpaWA0wnR1ETaoLffhvM3vxmWHSPi48HLy8H6+qCtWOENqORlZTA+/DCcv/71iJlP08VQsxPW3k5W3osW0U476PxAfT2k/fuJjjOa8xFj0Jcvn3YmxmjwpYylpaVBVVXv1KWsrAwOhwNhYWF+LmMjXfnDNCtuJzxPrkegdUJTgb5uHRx/+xsMTz1FQvuoKKhXXEGTyCH3N37sGE3lfDaEhMkEJgQMubnQRmlWwDlcd94Jw+9/D/nUKaCrC8JqhfK5z82ONbMHZvOMnkMeY4FANCu6rs8KDWw28UmzMk1MRLOiaRpKSkrQ3Nw8K5MC37XNxWZltCaqvb0dubm5iI2NnRlXp0muaS41K5612Gw2ZGdneydxgdDsjIWZCPCcLjzNUnFxccDMBMSWLcCbb5L7k4ea0dYGmEzQp6uNMJuhr1sHfQJZMTOJYQ/B7u5BC2wfCIsFvL0drKcHPD8fhuefB2w2EliHhEBPTIS0dy8VitMI2ZQkaZBKs3Ur7Ha7V6hflZUFiXOsCA9HxOnT4KGhkGQZ+oIF4E4nRHAw1A0bIFavhrZmjVdo64HhX/+C/OGHtPMaHAxoGlh9PYy/+AXszz8/ZUttVl8P6YMPyC6ac2qULrjAWzCPB+X226FnZkJ++22w1lboK1ZAufbaUZ3APBDz54MdPepv5a1pYJo2aZcnKSsLrKeHGmRVJQqg2xabMQY9IQGspQXG3/wG9h07/IpJ1tICnptLdCXPvcdggD5/PnhZGXhZGVlJzzBGalZYby+56vn+XEQEWGsr6RbmiE2rLMuIiYnx0rvtdruXGllbWwvGmJ/LmIcy5ksDk44cgenOO4mOCEDPyIDz//4P2nRMTAIEfeVKOCfijhcUNHxDyG1owcaZjoiYGLh+9Sso1dX0XaekjG+uMMcRSCcwm80GIcQnzcrHBXNBszIwMICcnBxwzgNO+xppbYqizNr7TRRDpxhCCFRWVqKyshJLlixB8hlI3Q1Is9LRAX7sGBXAkZHQ168HJlDsedbS1taGvLw8JCYmYtGiRWeEIjCmZmU8VFeD5+aSSHnZMhLMT/KadLlcyMvLAwBs2rQpYDdfsXo1tFtvBX/2WaKEAUBoKLSbbqJGZoauI1ZTQ9kPJSUQMTHQLrgA2qZNAZuy+H53IjWVaEldXX6WoqyrCyIiAnpiIsx33w1WV0fp5UYjZUF0d0Pv7QWvrIQ2jWZlKCwWC5KTk5GcnAxd19HT04N+ux1SXR1NSEJCYBYCckgIxFe/Cn2UtGWmaZDfeouKVU/BKkkQSUlg9fWQDx6EesUVk14fa2uD4fHH6XjEx1NGzv794A0NcN1++8Q0G4xB27mTspImAX3tWuhHjoAVFQHx8YAQCKmuhrJ8OTBUCzAefM4B1t0N5nBQ4+F5bjFG4bMNDeDFxf50MLudNCIGAxWannuQ0UjXhMMxubVMEEOnDMJqJRF1f7+fzob195Od+hwuyiwWC5KSkpBsNgMuFwYUBa0GwzDKmNPpBEB6JfOtt5KxiLuR4SUlMH/hC7C/+SblfXwMoZ5/PqR9+/z1Tt3d0A0GYCLTT8Yg0tImRp/9GCDQtsUAPmlWPsEgxtKsNDU1obCwEMnJyVi4cOGsF5uSJMERoIfJdODbGLhcLuTn56O/vx8bN25EaID9+yeyphlBVRWkBx8Eq672ugrxd96B9tWvjpvGzhiDy+VCTk4Oli1bhsRZ8Msfay2TPi5CgL/8Mvgzz3hzBERICPTLLoP+la9MmM7Q29uL7Oxs7w03oI0+Y9A/+1noW7aA5+QQL3nlSmCcHfDJgBcXw3TXXeQkYzaDuVyQ9u2D8uUvQx2NAjGDEHFxUC+7DIZnniG3tZAQsN5eMFWF67rraBe9tpZyKdzXobBYaFe7ri4gonYPOOeIiIhAxMUXgy1cCLFnD5TCQnSZzahfsADdoaGIyM/3ui95dqOFEGCKAma3Dw+H8xQC42RxjLqmrCyyl162zHvOishI8NJSSPn5o7uRCUFThxMnwBwO6IsXU6Ckrx5qLOg6TWEyMsAdDtKZmEzoXL0aIddfj4hJZhlpK1dSk+p2FQNj1HioKomTPYJ/xvyuTdbcDHn3brDmZvDycoiEBLKRdk8zRFQUGSUEAEMnKyIpCfqKFZAOHoTOGJ2fXV1gbW1QL7tsyvlOswJdh/zWW5Defx+ssxMmWUZ4SgrUm2+G85xzvC5jDocDJSUlMD/3HCy9vRChoWCe885oJI3Ov/4F5/33n+EPNDVoF10E9dgxyO+8A7S30x8ajWg491wkbds2IjXubEagmxWDwTDrTIxA4pNmZZoYaXqhaRpKS0vR2NiIFStWBMQZYaJrm4s0MM+6PMnrVqsVW7ZsmZE0+qliRpsVISC9+CJYVRXE0qVUNAkBdvo0+FNPUfEzSuGtKArKysqgqiq2bNlyxpo3D6YyWWGFheD//jd57nsoIh0d4K+8ArF4McT27eO+hscJLj09HfPmzcMHH3wwO9qZ1NThBdhMvK8QkB9/HKyhAXpmJh0bAKypCYann4a2c+e0PPtHwkiTZeXrXwfCwykVvKeH9BPXXgv1mmtommEygTkcfvQjIUnkRjaaWF0ICm98802w5mboy5ZBvf56SuyeAkRqKvDlL8MAIBJAhI+Aubm5GadPn4bFYvFmumhGI7TFiyEfPTpYfAO0C280TpmmxGpqSDTs21y7M0ZYU9Oovye//DKJ2Xt6IBgDZBna5s1w/c//jK6r8MBmg+Gvf4V89CjZtTIGPS4Oyk03oZExLJhC2JrIyIB67bWQn32WvlvGqLkLDvaGj7KuLuiZmYPfmbswZmVl0JYuhZSTA1ZbC97eThS4oCAoN944pknAmNB18Oxs8KoqiLAwaJs3+zk9jRTQq9x0E/1efj41/FYr1J07oY4ycfMFa28Ha2oiHZSvlfQsgJ84AfmVV2jDZvFi0vxUVUH+5z+h//jHXspYd3c3kpOTEVlXByEEVEUhC3XGwDkHF4KctGYTNhtN4IbQLqcEg4E0ZLt2gZ84AXCOgXPOQbmmIXkORAaMBdbQQLq+hgaIuDhomzdPKGtpLATS/c2TXj8XQq5nCmd1szJbNDDf6YXNZkNOTg4YY7MqEB9tbXOxWWGMobe3F3V1dcjIyEBaWtoZv6hmtFlpb6cwwKSkwd1dxiBSU8Gqq8HKyiDOOWfYr/X19SE7OxtGoxGyLJ/xRgUYY7LicoGdPk0UN4OBRvPu4Dt2/DiN+n3dYKKjwdrbwQ8ehDZGsyKEwOnTp1FXV+fVd3k0YWdaOzMtVFdDOnqUqCyaNtgIxMWBV1SAZ2dT7oNvwNoMYFiDZzBAufVWKDfeCNbbSyJl9yaBCA2FHhUFNjAA1tnpbbIxMAA9NXWw8RwCw6OPwvDYYzR5MZnAT5+G/OGHcPzqV9NyMnN/APDqakRUVCBCVSFSUuBcuhRd7sC+2tpauBQFxeeei4U5OTBUVoKFh9P56XBAvfhi6KtXT+29IyJI4zMETFUhgoLIXUrXSQviPoasvByGp54CACpMGQMGBiAfOAB9+XJytRoD8htvQN63jwLwUlO9IZKGJ54Av/76qX0OxqB88YvQlyyB9NFHYPn5kI8dowmOe4dbRETA9dOfeu9XUkEB5UosWkTNVmQk+OnTlEETFgbl//0/yluZCnp7Yfr5zyEdO0bHl3Poyclw3X23l4I2UrOC8HAoX/86WG0tNYJRUeM7tblcMDz5JE01ensBiwXaunVwfe1rU9YxTRbSoUMAMGhTbDJR2Kjb8MJj5qDrOiwWC4wZGZCys8GNRuhCQOg6NFUFdB2tZjOay8q8LmOB2plndXUw/ulPkPbvp3N8zRq47rhjmGPcpCFJ0DZvpuYUgLOvj5zvxkNfH+R33qENFUmCdu65UC++eNqOXBMBLyoiS/XGRro3u1yQ9+yB6+tfn5YOMZCTlf7+/jNaewYCZ3WzAgTezchXYN/c3IyCggIkJSWdMY3B0LXNtWZF0zR0dHRgYGAAa9eunX6Y3wxhRpsVd7ryMLoT50S/GOF9PJOE1NRUxMfH4+jRozOzlmlixMmK3Q7+2mtg+fmDWRLBwdB37IDYto147oxh2FVnMIxJyVEUBbm5ubDb7X76FM91dKZdyaYKfuwYCaxbWgAAbGAAIi4OIjLS2wzITz0FwyuvQAQHQ9u+Heqll067aRlzA8Bk8tOtAIC+ZAn0ZcvAc3Ko+bTb6bsMDoZ6yy0jroc1NsLw9NOUf+LRmgkBXlUF46OPwrFhw7R2saW9e6nQ7O+nPzAawdevh+HaaxEbG4uuri4UFhbCcP75OM0YIl5+GWF1dWBWK5w33AD59tshT/H99ZUrIR09SpqVxESaQNTVQSgKjA89BN7QQD+XnAzXD34AbedOSKdOAT09EIsWDX7u4GAIsxnS/v1jNyuqCmn/ftJfeMIiZRl6ejp4eTmsZWVgk9WreMAYtC1boG3ZAgBQTp+G/MorYLW1EGlpUK65xi93hHV00PXraWRTUqClpFCzMm8etPPPn9o6ABj++U9I+/eTK11ICE0aamth/OUv4Xj8cSAoaHQbX8Yg5s8ffm8ZBfILL0B+/nnSZKWkgA0MQNqzB0ZFgevuu2dlwsLa2mhC5wvPRoDnvMagdbF6880wvPYaOeAFBwOcQ7bbIUwmiFtv9TI3XC6Xn8tYSEjIzGz6dXXB/LWvgZ8+Teci55A+/BDmwkI4Hn+cmvMZwoSmC319MN15JzkUyjJNco8cAT96lOzWfTNtZhqaBvnZZ8FbWsiK2U2Z5OXlMDz7LJweh7wpvXRgaWBnk14F+C9oVgINT7NSVFSExsZGLF++HPFTGNUHAnPJ4QqgCyg7OxuqqiIqKmrONCrADNs8x8ZCZGSAZWdDhIV5H4isvh6Ij4dYsMD7o7qu4/Tp06ivr/dOEmw225z53kaarLDcXLCcHHI08jwo2trAP/oIWkYGZS8wRrumnhu5qgJ2+4gTJYB2grKyshAcHIxNmzb5UQI9D+ApNSsVFeD79lFae1oa9J07gQCFsI4EVlUF+e23afq0ZAkFT6oqUVJMJvCqKrC+PjBNgx4UBNbfD/mZZ4CeHqif//ysrRMATV1uvx2Gxx4DP32amuuEBKjnngv18stH/BWem0vFuS8lgjEK7Cst9WajTAWsuhrS++8DFgslxwPeXBg9IwP6xo1gborMvHnzgFtugfbZz6KrpQVdHR3obmlB38mTCA0LQ1RU1KBt7EQKOiGgZ2ZCvfpqSO++C15aSoWy0UiUKJuNmk3GwCsrYfrRj+D4178o5BIg+pcvZBlshCmNHxSF9Cmea0rTiL7kzpgJrqkBm6GGXV+4EK4f/3jUvxdW62BwpW8xabdDn871Y7NBfu89iNDQQdqXwQDdHRYqHT8ObceO4Ta+U8HAAOR33yVxvvscFEYjBOeQsrLIyWwGC+/RINLTwT/8kBpez2dyOMgEwudYegp3bdMmOH/5SxjvvRfMvbkjQkLg+t//RegVVyAUdC/0dRmrrq6GJEl+LmNT1SvIb73l1Sh5bKmF1QrW2Aj5mWcG85hmAB773jHX8957kE6epBBdz7Vhs0E+eBDahx9Cu+SSGVvPULCGBvDKSuhJSYPfHWPQk5PB6uvBq6qmbHgQ6GblExrYJ/CDR3vh0RjMpdHbXJqseKZOycnJMJlM6OrqOtNL8sOM5qxwDv266yA1NtL0ITiYdqlDQ6Fdd533Ie10OpGbmwuXy4XNmzcj2M1n90wDR6RCzDJGmkyyoiIav/vuaMXEAEVFtFO7dSv01avBT570Nmusuxv6okXQR8jqaGlpQX5+PubPn48FCxaM+pknrZ3Ztw/S735HVBd3ICN//XVo997r1zAGErykBLDZIJYsgWYyUfHZ3k7TKbsdTFGgZWZ6H3giIgIwmSAfOgTt4ov9Eq7HhNNJO489PRAZGd4ibLLHTCQnw3XXXdSs9PVBJCaOHaBnNA5ODH3F2ZpGxdg0dGi8ogKsv3+wUQHo2jEYwPPzoW/cOOzzSTYb4nfvRtK+fWAOB1zz5qFt5040GI2oqakB59xbzEVFRcE4VPTe0UF0k6NHKWxw0yYon/+8N0xReucdmowlJQ1S+dxZMPJLL0H99KchTCZ/xyNNA+vtHbXh88Jshp6RAenECYjwcGr22tsp78bpRERuLuT33gNuuingEwFt+XJISUngp0/T8ZdlsMZGahw3bJjy6zK7nQr1oYW0wUDHyVOcD7n38exsKqIrK6HHx0PbsWPM5HqAXO5YXx/0oeL70FCgsZGO7Sw0K9r27eB5eeClpdDj4sgQoqUF2sqV0Fes8P6cb4Om3HorlMsvh3zgACAEtPPO8ws4ZYwhKCgIQUFBXje93t5edHZ2oqGhAcXFxQgJCfGe62FhYRMujCU3vdEvP4dzwGiElJ09MwfF5zOP16zwY8foe/Z93rhtkKWsrIA2K+NiGpsHs9GsnE34pFmZBlpaWlBWVgbOOTZt2nTGaV9DMReaFd/JgWfqVFdXN2cmBx7M9BRKLF0K9X//F/zAAaJOxMVBbNlCgnsA3d3dyMnJQXh4ONasWQPZ58HgS3s6083KiBMnXYcY7VzXdSA4GNqdd0K8/jr4hx8Cqgrt4ouhX3kl4JNPIYRAeXk5qqursWLFilEnkp6U30kV3v39kP76V7L/9GgHNI1MDh59FNqvfz07FJD+/kEqTVQUlBtuAC8pAS8pIVpKfz/tGPpAREWBlZRQSOMEmhVeXAzjPfeAV1fTBCsoCOr554Nfd93UON2SNGFRurZ+PaXKNzZSU8M5Wdp2dVERMR1dwCj3LiFJYCNZSes6jH/4A6QPPyQhtdkMY2EhkmpqEP3jH0M97zxvQVdfX+8t6DxTlzDGYPn978Hz8kjLA8DwwguQCgrg/MlPgIgIGP7xj2GuWWCMGqiyMuirV0Pbvh3Snj3keCTLYAMD0DMyxm9WGIN65ZXgZWXUeHZ3U4HGGPQVK2CzWhF78CDYxo3j5rRMG1FRUG+5hahiNTV0zcfEQNu1a8rGCQA14yIlBby42HuMAVDQZXAwmU/A/94n7d8P4/33k7Og0wmpuxuGF16AumMHlG99C/oo01oRGQkRFkb6Fl+BeE8PEBIyvQnRJKAvXAjl9tshvf02eG0tIMtQL7mEjAF8CvBh1LfISKhXXjmh9+CcIzw8HOHh4UhPT4eiKOjq6kJHRweKi4uhKArCw8O9zctYu+4iPNzfIc4DRRlGHfXC6aTrPjh4/PuqEN7AWV3Xxy/Y3dSvEV8nAIGkfm+RlAQ9LQ1SURF0q3WQBlZfD33ePOjTuA4n9NmniE+alY8hAqFZ0XUdpaWlaGhoQGpqKhobG+dcowKc+WbF4XAgNzcXiqL4TQ7O9LpGQkAocykp0EdI2K2rq0NJScmoSeyecymQbiETBed8mNudWLyY+MyKMmgX29VFeQeeXfiICOhf+AJ0D5VpyGdUVRV5eXno6+vDpk2bYB3HbWay1zHLzaUCOjV18L0liQrr3FygtRWYBD1pqvcRkZRE4X7uSQOCg0mkarFAuewyGF5+mShFvmYKNhtgNk8sO8LhoEalvJyOvdEI9PZCfustRMsyOj772UmvGU4neHExeE0NhCxDX7iQ9AwjnYuhoXD94Acw/fKXZB4hBATn0Bctguub35z8e/tApKTQ5+npIfc8gwFQVbCBAWgjNFM8Px/S8ePQ583zuheJiAgS/L/+OvR16/wKOpfL5aXRFBYWIuroUWQePQqRmQmz1QpZlskAoaQE8qFDUC+/nCYq7iA773klBBVyKSmAJMH1ve9BXr4c0ocfkjnB2rVQL7tsQo2nvmoVXD/4AYx33w3e3w9htUJfsAD6kiVQ6uvBu7vBKiqgeYokl8vbLM009IUL4fr+9+l71TToycl+jl1TAudQPvc5mH7xC/DKSiqMHQ4wux3qZZeRoB8+zYrLRa5k7skWczioAenvp6mDyQTlm98cuYEKCoJ66aUw/POfQFMTWS4PDNBUY8eOWZuuAoC+YgX0Zcso08hgGDGjZybv9waDAbGxsYiNjYUQAjabzXuuV1VVQZIkb+MSGRnpN2FUL70UhmeeIa1NdDSdX93dgCQNzyvq6IDx0Uchv/su4HJBW7YMyle+QpliQyEE5LffhvzCC+ANDdDj4mC54ALwUZpND/StW4GPPiJ9j+f86+kBjEYyJQkkJAnqZz4D9tBD5MTmFtiL6Ggon/nMtHSFmqYFzAG1v7//E83KfztsNhtyc3MhhMDmzZuhKArq6urO9LJGxJlsCjo6OpCbm4vo6GisXbt22OTgbJ+sjARd11FUVITW1lasWbNmVM2Ob7NypjGSZkWsXAlRXk50MLOZdvM5h37eecNDL0fYZRsYGEBWVhbMZjM2b948nIozyjom1Sx4hP9D359z4v3P0nWhLVsGnp1NQZOexOW2NrKJXbcOWmMj5Ndeo/C3sDCih1VVQV+71k/wPBqko0fJ/nXevMEcj7AwwGZD+IcfouPaaye3YLsd8ksvkUOP53gfPAh1+3aalIzwfWoXXAB7ejrkvXvJAjctDeqFF047+0KfNw/o64PxP/+hTJDQUOjp6dAuuohS7IeA19bSDq9v48sYZaOUl1Nh71NcGI1GxMfHIz4+nmiXR4+CG43oURR0NTVBlmWYzWZYnU7wvXvBk5OhXngh5BdfJM1RVBRRHDs6gOBgKJ5jbTJB/fSnJ2SpO+LnXrUK2s6d0CsqhjeJ7p1dVlYGwzPPQDpxggqq88+HevPNo+98TxUGA8SCBeAHD8L4wgtgLS3QMzOhXXLJlC2htQsvhFOSqCCurgaioqBcfjmUm2/2nl+eKQOrqSG72JAQopgGBwOyDCHLYH194I2NkD76aNRpj3rtteTe9M475OZksUC99FIoX/7yrNoXAyC78lHu+R7abyA2pxhjCA4ORnBwMObNm+cNYO3s7ERdXR2Kior8KWNLloD/6EcwPvDAoEW3xQLl1lv9p4NOJ8zf+x6kkydpY0WWIR86BKmoCI4//xn6EDMI+bnnYHzwQbo3h4SAl5cjqqgIA1deCYzhqqVeeCH40aOQ9+8H3KYWMBqhfupTo2cdzSD0Zcvg+ulPybq4vh4iPp6si6cZTqlpmjcvaqZhs9k+aVb+m9Ha2or8/HzEx8dj8eLFkCQJ/f39c25K4IGnWZlNOpEQAlVVVaioqMCiRYswb968Ye/9XzNZ8YHdbkeO26Jx8+bNYwYczrVmZViTYLVCv/56sMJCsKoqmgJkZpID0jgP27a2NuTm5mLevHlYuHDhhM/LCTcrug6WnQ2WnU0TiuJiYPFi2nnWdcoB2bABmKgWZLoIC4N6443ghw+TfgWAvnMnWXdarVCvvBKspwfSiRNUlJlM0FevhnLbbRMKz2Td3fTwH7JDJywWSP394Hb7pJYr5eZCysqCnpbmzQJiHR2QDhyAvmjRqA9okZZGBSAAdHVBPniQckrCw6Ft3Di5Xez+fkinTsHwxz9S02QwUHHa0wPp9Gkot9wy4s608NA0fCd+AGmG4uPHnD4wxmCMjIRkNMIUGwtd1+F0OKBXVQHl5Rjo6ICruRlyUhKUW29FyGuvgTc1AUJAxMbC9Z3vjLybPEXo55wDuaiIppfuBkvu7aWm1mSC+Sc/IWeyiAhgYADGP/0JxgcfhJ6WBu2yy+C67bYZs+aVX3qJHN/cls1yRQWkEyfg+v73oY/QNE4E2vnnk/Wxx1BgCJ3Hq98wGGgiabPR1M7zc+6NCBERQfRHz+RyKAwGqLfeCvWKK8Cbm4keOEcMcHzhudfPxnPaG8AaEYGMjAy4XC50dXWhs7NzkDK2ZAli//Y3xBYXw8w5tA0byDjFB9L+/ZBycsjVzRPSGh4OXl0Nw1NPwenbrPT30znEOW2sAEBUFPS6OsS9/z7wrW+Nfr6aTHDddRe57WVlQUgSbfRs3jymZmkmIZKTx7UdnywCrVmZS/rpmcBZ36zMxMXvq7tYtmwZEnwKnTPREEwUngthttamKAry8/PR29uLDRs2IMxjvzkE/22TFc+UKTY2FkuWLBn3BuX5rubCMfKzLhYCqK4mgfG8eRAbNkBMcAzv28QuX77c7xqaCEbNe/F/E/AXXwR/+20a1YeHUxZMRweQnEzFVnw89C9+cUZ3VfmpU5T03dBAAXyXX+6lswCAiI6GdsUV0Hbtoj/wnSSFhED5+teh7toF1tYGhIaSOH6CDzE9NZWK2f5+v4kC6+6GKykJ2iR311hRERXEPs20iIoCb24Gr66GNs5uImtogPHXvx50E9M0yG+8AeWrX52Q3S1rbobxT38CP3kSUl4eFaSSBCQkQA8OBquvh/GZZ2C/+mrvMfJcL9ratRDz5pEIOy0NMBhIZG23Q73oonGbP23tWkjvvUeJ7XFxCBoYAK+vB0JCILZtgxIeDqWyEt0dHcj5+tcRqygIs1ph2boVhhlOUNfWrwcvKgLPy6PzRdNg7OmB6+qrEZSfD1ZXR/oOVYV07BhliOg6+OnT4JWVkPbvh/2ppwYtkKcI1toK+YUXIDiH8DFt4KdPw/DSS1SQTnUawNiotDLPM0vMn0/5MO68D4/tO+vthYiOJnev8PDxr5fw8OFC+zkEzz32TNB+jUYj4uLiEBcX50cZa+vsxOl58yDLMiIVBZHNzX6UMX76NH0fvtMBxiBCQsCHZKfw6mqywx4yWVLCwiA3N0OUl49t3GA0UoM7DcvsuYZANysxs+h6ORs465uV6cKzI67rup/uwgPPyaZpmh/VaS7Ac+ObiD3gdNHb24ucnBwEBQVhy5YtY1J7ZtQmeIYwoTW1tdFufXz8hLiqQghUV1ejvLwcixcvJnvVSaxnLuSKeJuEpiZIDz1EDyGnk3ILrrkG+k03jVusqKqKgoICdHd3Y+PGjVMKu5zI8WAVFeDvvkvFS3Q0sGQJUVjc7kr6rl3QL70UmAC9aqKQ3n4bxt//noT8JhPYyZOQ9uyB62c/g7Zpk/8Pj3ZNMAaRnj4l0bS+ciW0TZsg7dtH1tBmM1hXF2AwoPPyy0c3Qhj1BfWRGzmP4HYcyM8/T65H7jBBCAFWXQ3DE09AW7Vq3MRz+aWXiBvuzncQViuYwwG0tECkppJeoa6OrKiHao6sVri++10YHnyQiiNNgwgJgXrZZcO59iN99HPOgXrddZBffx28uJgoMIoCbeNGSGlpCOcciIxEVGEhQk0mNK5cieKODtiys2G1Wr1C/dDQ0OlvDlmtUG67jWySy8sBkwk1DgcyLrsM1h/+kHI7OAevqyMHLaOR6JhmM0RoKHhBAQyvvgrlC1/wviRrbATPzQXTdWgrVpDGZgywigoY/vY3SLm5JIwfGCBnsJAQcrWqrKTvwcc0Y6bg3WBjDK5vfhOmpiZIJ0+SI5nJRJTAxYvBVBWqOztmzkPTaJIUFDTiJAk4M82KL0aijHV3d3sDWIuKimC1WhEZGYl5sgzDSPbWTieEr4MfyHoZBgNRMX02QrjLRdOys4yyNBEEOhQyPdAmHLOMuVVdzzF4aF9xcXGj7ojP5WbFd22BEnIB8DrrpKenIz09fdwH9YzaBM8QfMM9h6GjA/ypp8BPnKAd+5gY6FddBXHhhaPu0PsW6OvXr0f4JHf15sr0ibvdnaRf/Qo8K4uyAqKjgY4OSI8+SoXLGIWgzWZDVlYWjEbjuE3sWJgIDYyVlVEx4Mn8YAxwB8iJuDjod9wxpfceFX19MD7yCOBy+bkY8cpKGB55BNr69YGnKTAG589+BmNiIk0FHA7o6elQP/c59C5cOGlrTbFkCVhBAYTTCdhsNFlwOskYYJziFn19xF+PjR0sxhijaUd5OaTCQmjnnjv673d1gWdnkxC9v5++P10nK2CHg0TWbhch4d40GnpO6MuXw/ngg5Byc4H+fuhpaaT7mEjzwBjUa6+Ftm4deFER5DffhNA0iBUr/DIWGOewShIWLFiABQsWwOFweMXLHv2irz3yVPMuEBxMnHw3L7/nww/BZBl6ZCRklwsC8CbQe4tFzqkoFALSwYPUrAgB+bXXYHjySWpkhYAID4dy/fVQfXQifoeiuRmGxx8nPZSbisXa2iDZ7dCWLyc3NkmCGOl6drno+59G4e3LBhCZmXD89a+QX3wRhnffBQYGKL0+LAzatm0T1y0MLapnC7oO6cABSPv2kcA+LIymBNu2ee8Ps0kDmwx8rb4B+JlS5MXHY7Usw1RVBT0+HrLJBKm/H0zXh7mYifnzoa1aBenAAS+VES4X5LY2DCxbBuMU9U8fZwTSDcxut39CA/u4YSoXv67rKCsrQ21tLZYtW4bExMRRf5ZzDsbYnJsUAPAGpgVqbZqmobi4GC0tLVi9ejWiPQLicTBXJysjNgeqCunBB8FOnKAiKjQUrLUV0t//Ds1kosT2IfCEXxqNRmzevHlKxcpcaVYYY7AUF4MXFJBewbMrlpQEVFWBv/469MsuG7Eob29vR25uLhITE7Fo0aJp7RpOSLMy2rU+ktB+BsCLisBaWykwzGcNemwshT3W1AxOSzo7iVuv6xBJSRPPT5kIQkPh+v73ga9+Fay/HyI6Gqy7G4aiIrgmGbyqrVoFVlICw1NPgVdWgikKBGPkinXJJdDG0p54ztcRTA0wAVMDpqpguk47rUlJNFXp6SG9itNJ4lohoN5449g7sUFBxGefChiDSE2FlpoK6Drkt94CmpvBCwrA3UGeIizMj85iNpuRmJiIxMRECCHQ29uLjo4ONDY2oqSkxE+8HB4ePn6uRGkppL17wSsqoMfFQdu+3UuRYYxB27kT8uHDfvlBUBT6b58CRbjpObyggCyXAW9TzVpbYXjqKYgFC4ZPAAHwrCzwxkboGzaAtbeDd3eTPqanB6y5GWxgAOqll/qZKEhHjkB+8klIJSUQVivUT38ayuc+57eTPlEIIfwLuagoqF/7GtQvfpHMEhwOiOTk8ac6qgrp/fchv/suWEcH9AULiKa5du2k1zRVSHv2wPDss9TYhYXRsX/iCcBuh/apTwEY1OgEullhlZUwPP00ZflEREC98kpqLCZYNPuZUixZApVziPvvB29ogKbrcJnN6N+2DQPbtiFSUQY3SRmD64c/hKmri7R77nuyIzUVzbffjpRxPjcvLSXr58pKiMREqBdfPKvfYSAQSMbLJ25g/wVwOBzIycmBqqrYvHnzuF84Y2xOCsY9CNTabDYbsrOzwTnHli1bxhSMj7QmXdfnlM5ntOaA5eeD5eXR7qy7EBAhIZTX8fbb0M47z684a21tRV5eHpKTk7Fw4cIp34zmSrPCOYehq4soJkO+Y2GxgFVVgR07RuJLN0dWCIGamhqUlZVhyZIlSB4rVHCCmEizoi9cCG61+tsSO50UbjjBvIJJgfOR6VGe5sj93fNTpyDv2QPW2Um72lYrtC1biH89kw+rkBDAbofhwQchZWVhXnc3nFFRkL7wBXqviVxrnIMXF0MqLobQdQizmZLaNQ2m//s/2Bct8k+r90VoKPRlyyjnJDLS+9lYUxNEZOS4+RwiKgp6aiqk/HzoixZB27wZ0vvvU1YN56Q5iooi7Upb28w7Xw2Bvn498P77MLz4IlkTG43gTifQ1gZp/376+yHHlDGGsLAwhIWFefMuPDvRRUVFUFUVERERXsrY0N1PnpUF44MPgnV2QlitkMvLIZ88CeWWW7xZIdqFF0I5fRqG1193L1T3Ok0Jk4mmi5Lk1UhJBw9SOKJP0raIjwc7fRrSRx+N2KywujqimplM0DduBDt0iFzPbDbw2lpo27dDvekm789Lhw7B9OMfEx0yNBSspQXGv/wFvLISzvvum/RmwagJ9kbjpHJeDP/+N+QXXiAHsaAgSIcPg+fnQ/n+96fe0E4QrKkJhsceg+HFFyEMBmibNtF1ERkJNDRA/uADmjSGhgbMCcwXvKQE5i9+EaylhSZfqgrpyBHwnBy4fv7zSX9HjDEYrrwS+rnn0sRkYAB9qaloiY1FZ1MTCsvKvJSxyMhIhCUlwfHoo+Sq1dgIERuL8pgYGMbRVfFjx2C67z6iHFosYNnZkD78EK5vfcvb7H0cEWjNynhxAB83fNKs+KCtrQ15eXlj0r5GwpgUojOMQDQrnoI8MTERixcvnvRNVvIZfQfqYp0sRm1WWlu9QXu+EBERxGl3OChfxCfgcCoC8mHvOxFB+SyAMQZnWBg93Gy2wePQ1UW0q6Ag8LfeAsLCoG/eDHXzZhQWFaGjo2NK9Lex1iHcu/PswAFKNdY0iLVroe/YQbSCtDTon/oU+BtvAIWF3kZCrFlDPzPD0Jcvh56URAFhnjwXXQdvaYG+bh3E/PlgjY2Qd+8GhCAdB+dg7e2Q9u2DSEiYVsDeMLhcMP7hD0Slio+HGh4OY2srDH/7G00bRihK/SAEDE89BcMbb0AwRkWVopCYOT4e6O6G/N57UG6/feTfZ4xCLysrKfQvKIj0JhYLlM98ZvzmgnOoV18NVl9PttiaRjRDqxUiJQXaqlUUKFhaCp6dDe3ii91vO80ND10Hz8ujKVlGhtcyWsTG0vkjSWRewDn0iAjAYIC8dy+0q64iM4QxYDAY/MTLAwMD6OjoQFtbG8rKymAymbyNS0RYGIJfegmsp4dsgRUFaG8nd6WHHkLYtdeCuamFyh13QN21C1JWFk3BCgoAu50S4mUZ6lVX0eQDJEYfsSmWZaCzc+SFR0cDbic5kZgI9dJLSR9TXg511y4o3/gGBQACRDP717+oIfLJNRK9vZD27QPPzx81uHE0zMRGFmtshPTOOzQJc29eiLg48LIyyC+9RBkdAXr+8OJiWK66iho8RQHjHLyqCtqOHeSsFR0NVlsL1tJC+pvRmrMZhOHPfx4MmvWcD729MLz8MtTrrpv0d+SBiIqCetVVAACr+x8AcDqdXpexwsJCaJqGiIgIRC5ciMhNm2CxWKAWFcE0Vv2gaTD+859kib5wIU0+AbDaWhgef5w2Cz+mRfknCfaTw1nfrEzkBqDrOsrLy1FTU4OlS5ciyZfWMQH8t0xWfOlx0ynIfa1553qzIiIi6MbudPqJ6llvL4kITSa4XC7k5eXBZrNNKOBwouuZCwJ7zjn6MjOhr1gBfvIkaVYY8xaT+vbtlBDf3g7tvfeQ19AAZ2oqtmzZMnWu/ghgjEGoKqT776dmxBOG9/rrYNu2Qbv3XsBigX711RALF4Ll5RFVJCMDYt26wcJqJmGxQPnWt2D85S+JmuJpjpKS4PrGNwDGwCsqgO5uiGXLvL8moqPBOzvBi4tntFnhOTnghYXQMzIAsxl6Tw9UiwUhra2Q3n573GaF1ddDOnqU/sdkokJOkkgv0tlJaexdXWO+hsjMhPPnP4e0dy+ksjJoUVHQzjtvwpQN/Zxz4PrRjyDv3w9p717oCQm0Iz1//mARHBxMltkzAFZXB/P3vw+en0/NgdkM9eKL4fzFL+j7q6mBWLCAdsQBL+2Kl5XR9zdKs8I6OsjJS9ehL19OYaSMISQkBCEhIZg/fz40TfMWc+Xl5RCNjViTmwspMhKm/n6Yysu9x5u3tCDj1VdhnD8f2LWLirbMTKiZmVCvuw7Svn2QDhwAGIO2fTu07du9BamemQm8/ba/pbOmAU4n9OXLR1y/tno1pCNHwCorKWzUbR8tNmwgnYvv9dTXB6msjNy2fJ+3Vivp/YqLz0izwisrwbq7/Zz5PDRNVlND7lQBMAcAANOdd9I147kHuoXo0kcfQVu8mI6/2eylMwY8ANjlgnzoEGm9fN/HagWamyEdPTrlZmU0mEwmvxyjgYEBchlra0N5eblXv8gYg+JLGfMBq6sDq66GHhfnd26J+Hjw+no6twIdDAkALhdYTQ3ptObPn3aTK4QIWP3jcXQ7m2hgQoizv1kZD0NT1qfyBcuyPKeblZnYoXc6ncjNzYXT6ZzycfLA16UskML/yWDUZmXlSip+i4roJmWxEM1IUSAuvhi9/f3IdrsBbd68ecY+z1yhgTHGoEsStB//GPjzn8kNrK0NAKBffDHEqlUAYxgICkJ7djZiYmOReMMNM/7gZYzBePw4+BtvUOHomdgMDIB/+CHEO+9Av+YaKuKWL4cYpQibDkYqoLRzz4XjL3+hQMSWFoiUFKgXXTSoSXG5qNEa+lpGI4nIRwHPzaUd8+xsyiq54gooN9zgbxM69HdaWgaLoMFFU/ZBXR1NCMcwAWEtLUBvL/SEBGq+NA3edHSXiyYLE3BSE8nJUD//eUx11iwyM6FkZkJfuBDySy9RgFxZGelFkpJIvzIFR7lh0HWYv/MdOsYREVRYDgxAfvVVsP5+uD7/efr87s/u+3tgzKsJGQpp924YnniCrKgBICICyo03UkChz/kjSRKio6O9Wj97XR1Mzz0Hh80GV0MD9OZmiMhIyJzDqGnQDAaY9u6Fvnq1vxOaJEG78EJoF1444nrU88+H9O67kIqK6NpxB1nqGRnQLrpoxN8R6elQbroJ8ptvUmPIGERCAtSrrqINC1+YzeRC19fnf567zx8x2uaNzUa/Exk5PCdopGalp4ds02NixszM8b6GxULnu09WDQA6fwyGUb+/aaOzE9Lhw4PNviTRtSdJgKaBFxUBISHQtm713icC3qxwDiFJYG5jBj8IMeZ9YSbg26inpKRA0zR0d3ejtLQUnZ2dOHDgAEJDQ72UsdDQUDoekkTX3tBnoce1cBZMjfixYzC4g2DBGBmY3HyzfxM8SXhCQAM5WTmbmhXG2H93s9Le3o68vDzExMRgyZIlU3bzmsuTlZkQs3d1dSEnJwcRERFYs2bNtF3PPKYEc6EY92DU42QyQfvWtyA98gilkLtcQEQE9M9+FvXLlqHw2LEJu6BNdj1z4fh415GQAO3//g9abS34Bx+AFRZCrFoFAaCzowNNzc2YFxeHsKgo6AFKYTZkZdHx96WWuXcK2YEDwDXXzPj7TgQiPR1KZCQVXjExfs2CiI0lGpHvZE7TqOjyzSxxuWin12wGr6qC+fvfp3wYt8icP/AAeHHxmPx/ERExWFwbjd7zkfX1TSi7RYSFEaUxJgYoKyOOuPtaZwC0FSsor2SWoKelEaVszx76A0mCCA6GtmLFjOwC8xMnwAsLqVi2WMhmGQAcDsj/+Q/Q3Az09ZF+JDycfkbXKUk9Npbc3oa+ZmkpjI88AqEoNNFgjJy1nngC+vz5YwZHWpKTYdi0CUEffECWyWFhcHEO0d6OnuBg9KWkIKixEVpeHswXXDDx4jYiAq6f/QzyCy9QEa3r3uZ3mP2zD/R16+BauhS8tpYaVfckeRjcaeKGf/6T9DLBwXSONzRQ2vdQa2GbjbQkb71Fzl6xsVCvvx7q1VcPTs98NRzd3TA8/jjkDz7wmgpobptpbePGUaem+vLl0FNTyahgwQIqbO12sPZ2EpXPRMM7AtjQ54jbnQ2qSudYdzfU7dtp88GNgGtWZBnaxRdDfu65wQmbEDT9CQ6Gun27/88rCmlLamshYmJoUjcFo4ShYNXVkA4fhsHlQszy5agxGpGQlITIyEivtis/Px+6rhNlLCIC8zMzYczKIvtjSaLJZkMD9JSUmaXRjgDP9YyBAYikJKKMFhXB8Je/wHXXXVPWzXlqjUB952dTs6IoCvbs2XP2NysjFZC++oKZEADP5WZlOmvzzQlZuHAhUlJSZqwgn2uOYJIkjU67SkmBdu+9YBUVwMAAtKQklLS1oen0aaxatSog4UtzpVnxayo9VsDr14NVVEA4HGhob0dvXx/SUlIQUls7vr3tNNYxqpvUWH8XaPT1wfDCC5AOHSLaWVQU1EsvJXEz59AXLoS+dCmkvDxqBiQJ6OigpPEVK8hi9vBhSO+8A97aSiLusjKwtjaaYniut95eSB98AJ6TA3316hGXoq1ZAz09Hby8nL4HVYWhvZ0seS+6aFwBrcjIgD5vHuS334aIjgZ6e8kuWNOgz58Px/33TztkcDKQDh0iIb2nQNZ1sM5O8OZm0kZguHXxZMBbWqix8zSXHrqbO99DJCRQ09faSrvhsky2yXFxcI2SuC0dOkTUoyVLBgvvxESwkhJIH300dsq9plFRvWcPeH09mMEAOTgYIiYGbONGCIcDmqqisrISnSaTn1DfPM6UQCQmQvnOd0hrIsSEcqIAAEFB0BctAisvh/zKK2BOJ527Gzb4Fa/KbbeRPfXRo97Jq4iNheuuu/w3FwAYH3gA8htvQISEkK6pvh7GBx4gp7drr6Xf9UxWNA3G+++H/OGHpKGx2cAUBXJTE1h1Nfhll0H54hdHLqRNJih33AHDAw/QpBCgKdS6dVA++9mJff4pQERHQ1uxAlJ2NjUFnNPxFgKQJLjuvBPazp1+mwezoVlx3XEHeHY2eFnZ4GTCbIbrjju8Oi2AbKtN3/0upIIC731VT0uD84EHRp4mqCppYYKCRk+hB8h6+u9/B+vpARiDwWRC6tKlUH76U5hMJiQkJCAhIQFCCPT39xNlrL0dTevWYVlpKUIKCyHJMmTOIeLioHzzm2NOmmcC0oEDQFcXxNKlg9fzokVgRUXgJ05MWeDvqX0CMVnRNA12u/1j36x4po0fffQRHnvssbO/WRkKh8OBvLw8OJ3OGdMXnI0Ce1VVkZ+fj56enhkVSvuuay4U4x6Maz/NOfHxnU4/t7hAeZnPlcnTSC5cIjMTzowMS0JiRwABAABJREFUdOzbBz00FAuTk2GoraXQPh9txkyCcw7n8uXAe+8RfcpzI3Y6iZIXYGefESEEDP/4B+S9eyFiYiCiosA6OmiHWZKgXXIJYDJBvfpqyhrJywNUFfoFFxDPOiIC/Phx+nkhoMfEgA0MgBcV0YPfF1Yr2R8XFo7arCAoCK5vfxvGhx8GLy+HqacHrtBQKJ/5DBVH48G9Yy0dOkSBimYzdFmGSEmBiI0dTvOZCvr7qbCJiho7IFJVIb/zDjlcxcfTd+6mq/CWFkhZWSSunQb01FQqdmw2IDiYGjNdp89oNHqPOXQdCA6GCA2FiIyE8qUv0U7zSOjupkna0MLTaAQfTcwOAAMDMN1zD6SDB6mBAsD7+6FmZEDbvh0sKAjmEydgnT8fy6+8Er1BQejo6EBTUxNKS0sRFBTkZ488ahE0hZwj+a23ID/9NBWZAJ3ba9bA9b3vDTavoaFw/vGP4CdPUrK51Qr1vPOAIdbZrLIS8r599L26v38RGgrU1cHwwgtQL7uM9Fbu4p3n51N2T0gIeG8vhVNKEjWtPT1AVhb0NWtGdfbSly6F84EHIJ04QcYFSUl0/Uwx72lCYAyuX/wClhtuIAMWn/un6+tfH5F6F3AaGKhhtT/7LAz/+Q94Xh5EaCjUSy8d1kAbf/UrSFlZpBMxmwGXC7yiAqb//V/YX3jBr8mS3nkHhn/+k/KYZJkmRt/61jAtED99mow+VHVwE6a3F1FHjmDg/feBL33J+7OMMVitVlitVtJ2nXMOejduhG33bqhVVegPDoZ982YEx8YiqqcHVqs1YMeONTaSqYzv9cw5GOdknjBFeGyLA9GgDgwMAMDHvlnx1B25ublIT0//72pWPLSv6OjoGaEzeXC2TVb6+vqQnZ0Ni8UyrSC/sTAXJyvjNQceOlxUVBSWLVsWUHMAP4F9QwO5/dhsEPHxEOecM3OC8b4+Ssg2GkkoP+QzjST077LZkB8bi3nbtyPdZgPTdeLRr107bkL5VMEYg23DBug7d4J/8IHnD8kRbN06ynqZSdTUgJWWAkFBJNAf4WHIKishHT8OPTnZu3ssQkLAqqsh795NdsFGI/HTd+wYLHA9DyghILkpPx6htggOpsK5vx/CXUQDGORsj9Mci/R0OO+7D7ysDM3l5eiNjsbC8VzAfD/TwADZqQYH06TIagXCw8ELC0nTMlUoCgx//zsMzz5LTY/ZDPXKK+H67ndHPpfd9CtYLLQ77XteNTWBdXeP/D5OJ+TduyHt30+hkCtXQv3Upwbzbnygr1hB9sj790OoKhWWbucmbckSKogbGsi+NyMD2saNYLW1kA4dgr5qlV/WigciPX2Q8uN5vug64HBAG4PjbnjpJUj790OPj6fj4XRCKiyEVFoKERdH9ECXC+qFF4LFxyMUQGhoKNLS0qAoCrq6utDR0YGSkhIoioLw8HA/e+SpFkWsvp6oQ0IMToscDkjHj0N+5x0/+2JIEvSNG6Fv3Djq6/GqKrISH0I/E+Hh4G1tYK2t1By7Jyu8vh7M6aRgSsa89ydhNhPlTNfBTp8GxtqsCA2FdsEFU/r8U4W2aRNsu3fD8Le/UbMVFwflllugjkJVnY1mBQAQHg7l1ltH/WvW1ATp8GGiPXqmFkYj9JgYMpXIyvI2N9K+fTD9/OeUWB8RAeZywfDaa+D19XA88ohfQygdPAjW2+s/LQ4NheAcwR99BOHTrAyFJEmIWLQIcF8/viGsDQ0NEEIQZczdrE8mRmE8iKQkICfHP6tL18nWfYK5ciMh0E5gwNnTrPT29kLX9f+OZmUo7SspKWlGO9q5LrCfzNoaGhpQVFSE1NRULFiwIGCj6bk2WRmLdiWEQF1dHUpLS2ecDjfeetjJk+DPPktcbTc9RV+yBPqXvjRs13JSEAL89dfBn3qK7JkliQLivvMdv+nI0AlPfX09iouLsXD5cqR86lNeoWCgk9oZY5RV8LOfQWzaRBoVVYXYvBn6pZfOHP9cVSH98Y/gr74K9PbScUlNhfa//ztMJ8FbWkh7MoT6JsLDwTo6yDHO94E29JxxOsEbG707zPSiRB3jx49TUR8cTAVZYyNEZOTEpgmSBH3xYthNJqhu+9kJIzISrLgYukdP091Nzl75+eAFBVBPn4Z6/fUQ8+ZN6mUNf/kLjH//Owmbg4PB7HZKVO/pgfO3vx38QSEgffghpHffJQvjvj7omZnkSMU5FbpmM3Sf92c+RYThoYcgv/8+FbNGI+TXX4eUlQXnnXf6UV3cvwjH734H0//9H+T33/fmlWgrV0JftQosP997PEVEhNcJiBcXg58+PeJuvrptG6TduyGVlkKPiaFdWHcBPlbBLO3eTXQ3T+NmMhGVqKSEphTnn4+qgQGEn38+hkrLDQYDYmNjERsb63UC6ujoQEdHByoqKmA0GhEZGYmoqChERERMapOO5+WBdXb60dpgNkNYrZAOHKCAzkncC71GBna7X+PN7HbK9HFfx55mxXPcoWn+myaKQsfKYwAxB6EvXQrnQw9N6GfnSuYY6+0FUxToQxknRqPXxtwDw9NPg9ntg5RM0GYLz82FdOgQbdZ4YLO532CIQYkkwdjfj8lUT0NDWPv6+tDZ2YmWlhacPn0aZrPZ27hM9nwfCu2888CPHAErLydjCV0Hq6+HmDdvbErneK8b4GbFZDLNGfOiqcLzvZ177rngnJ/9zYqqqjhx4sSM0r6GYi5PViY6wdB1HcXFxWhubg6YDsMXZ/SYqSr4nj1gH3xA4tnly2HYtm3EZkXTNBQWFqKjowPr1q1DRIAmB0PBOQd6e8FffhnMZiN3K7d4mhUUgL//PnTfXc1Jgh08COmhh7xWu1BVsIICSPfeC/Wvf/U2Qp7Jiq7rKCkpQVNTE9asWYMoT6M0Sw9YLx3NbIZ+5ZVAIEIeAfAXXgB/6ikSc6alEcWsrAz2b30Lhffcg7D58xEVFUVuNRERfjQi71r7+yGsVnoNXwhB/3h2UI1G2pGsr/cGagKAtngxWEUFWF8f5ZQIAREZCdf//M+kBJ1TKX60FSvAs7NJWBsWBvmNN8Dr6+mzmM1EISkuhuu++ya+lp4eGJ5/nj6v+7wRFgvQ2wv5/ffhqqz0Tj6kffsobZ0x6JmZkE6dIupbVxcQFQXW1wd12zboK1YMexteUAD5wAHoiYleepJISAAvLob85ptQvv3t4WuLiIDz97+Hq6WFfu7ZZ8FaWsA6O8k2uKeHCpP5891v4g4CdTpH/qyRkXD99KeQn3sO0okTJGa/4AIoN95I19koYAMDw52NDAaIoCDoq1bBdcUV6P/oo3EONH3nwcHBCA4O9nNd8jQudrsdoaGh3qmL1Wod9TxhDQ2QPvoIvKYGzOGAHh9PExG3wxVTlHHXMxT6ypXQFy8m7dW8eXT99PWR6PymmwYnlO7iXVu7FnpGBrkQ6jodd1UFUxRoyckQRiP0iVBPe3upwXG7oc01zNpkZbx1pKRAREZ6Axg9YD09ECEhg8GiqkoOfUPrKbMZTNcpU8anWdGXLKHzxm4f1BfpOmS7HcqaNZjqJ2eMITQ0FKGhoUhNTYWqquju7kZnZ6ff+e7rMjaZ+6K+cCGU22+H4aWXwBoaaDNp+XKon/3stCYrgYxtGBgYmNY0da7gsccew+LFi3Gh2+XwrG9WZFlGdHQ0UlJSZoz2NRSSJME52sPrDGMiTYHNZkNOTg4ATDqNfqo4YwJyIcD/8Q/wV18Fk2Wy3HzrLQQfOYLgIVxiz3HhnGPz5s3jilhnEowxyJWVZIfrDsMCQDtcMTFg2dnA1VdPXCg7BPzttwG7nV4bAEwmiAULwMrLwT/6CPrVV3vXoWkaTpw4AVVVZ+38GIqJJNhPG0KAv/IKFaTuB5FDCAyEhiKsqwuZ9fWojYtDfn4+hBCIDAtD5rx5CC0pAebPJ/pWZydYby+5DfkIt6WsLCq4nE7oCxZAX7+enJJ27KDivLmZin+HA7yuDuq110Lbtg28ogLCTSMbq9idsUOQkQH1iisg7d0L+eBBCrxMTKTpUWgohLtIkT74gHbVJwDunpAMK2yCg4HmZips0tMpC+Kdd2gylJbmFSTzkycp76S/H9ratVBuumnESR4vLycql68JAOcQkZGQsrKg+FI5HA5IR4+SfiY2FtrmzdB27CCDgddeg1RUBFitEEYj1G3bBqcAAwPURMTHj34Mk5Oh/OAHUDw6mwlskGnr10N+9VXSBikKNUp9fSRod4uOAZ8GtLMT8p494CUlEGFhlGWzevWwQlySJERFRSFKliEXFEA/cQJ2TUPrwoXISUsD85m6REZGDmZfNDTA8NhjFPw6MABWVASpuBgiIQHahg3UXOzcOfnCX5LgvPNOmO69l7QtLhcQFAT1wgvh+spXBo+hxx3LbIbzxz+G8be/hXT8OE2YJYkap5gYaDt3jpoVAwCstRXys89S46iq0BcsgHr99dBXrpzcugOMaTcruu7NHhJpaSOHgE4EFgtct90G029/CzQ0kDbQbgdTVSif+9zgPUiSSKNXW+v/+6pKE5YhQnvt3HOhrV8P6cgR0uPJMlhPD+wxMRBXXYXxniissRHS8eN0/1yyhL7zET6jp97z2IH7Usbq6uoAYNKUMX3DBjhXraLPKkl0L5xmo+HRrAQC/f39Z0UgZHl5Of7yl7/g6aefxtKlS8/+ZoUxhoyMjIAWOnN5siJJElxuweZIaGtrQ15eHuLj47FkyZJZ2905Y5qVqirw994DoqMHd0aSksDz8xF34AAJ/RhDe3s7cnNzkZCQgMWLF8/6rhfnnHj0vjvxHrhpEdNxwGK1tUQxGvq6jHndfADapdF1HWazGcuXL/ffDerooAekw0HHMz19+sLVxkbw/fuJghMaCn3LFoitWyfe3AoBduoU2KFDRL9JS4PYtm2wKRsLuk47ikFBgDvEzOFwIDQiAob+foRrGqzLlnmpBx0dHSi9+GJEdXUhsqICZiEgRUaCffrT0D79aXpNTYP85pvEW7daAYMB0qFD4JWVUG+6Cdq2bWBdXeT0VVYGGI1kEXzrrRDJyaNmZ0wUwj3N4fn5kI4coSVt2UIP+1EKTX3tWuiLFxM9sK0NwrMrCngdsXhJyehvardDOnmSHu6hodBTUylXxuHwd+9x2zl7JjSssxOsvR26Z2qnKGD9/UBMDERQENTzzgMzmSC/+SbUmJhhDYM3N8NN5/LC5fLmiwAUNGe6+27w0lKvK5K+aBGc99wDkZEB5Xvfg9LbC9baCsNLL4E3NEC4jRxYby+0DRvItWs8TIIzrp57LuRXXqHvyK15YSDalPyf/4C7aW+MMbDGRpjuvJPW774XyG+9BeWLX/TXkHjQ2QnTvfeSI53BAJOmITw7G2mXXIL2225DR3c36urqUFRUBKvVisjISCR/9BGMNTVEdbTbaSoBgFVVgbW1Qd21C+oUnZBEaiocDz8MnpVFk+358/1pZvB3xxILFsD55z+D5+WBFxdTQRwbS+51mZmjF+YDAzD+5jckJo+JAUwmmtRVV8N1113TysmYaUzHupgfOwbTL35B9w9QCKjzrrvG1A6NBfVznwMsFhj+/W+wpiaI+HgoN9wA5fOfH/whxqBccw1Mv/sd4LH2VlWyFE5KGm6FbDLB+ctfknPie++B2e1QL7gAeenpWDGCnswX0jvvwPjwwyRod+cbaTt3ksHDOM+b8ShjFovFz5hi1A1toxFiItf8BBFoGlhISMjHfrLyox/9CI2Njbjtttvwt7/97exvVmYDc71ZGWltvjqeZcuWIXFo0NcsrOtMTFZYeTnt8vraVTMGERsLa10dtP5+VLe2orKyEkuXLkXSLOxmjwTOOZxJScTZbm4GPN+ProO1tEDfvn1csfVYEGlp4FVV/u5OnubIXQQ2NjaioKAAAHDOOef43fxYaSnYO+8Mamk4h1i8GPqnPz2pIo0WI0jMXlYG/sYbFL4VGkoi41OnoFdVga1cOaENB/b++5Cee44KmuBg8OpqiJwc6LffTsYEY8Gt28GxY+gxGKBrGsIjIiApCgTnXm62L/UAaWlwbduGvpwctNTXo9VggCMiApFlZYiMjERMTw+MeXlkJew5LrGxYMXF4FlZ0C69FOo110Ddvp2KYouFmj7Pg8xmIyejtjaaAKxbN+HvnTEG6DpZvz7/PFHKAIiHH4b62c/Sw34k44DWVvBTp8C6uoiC6Am080BRyIZ5pPfs6IDx97/3prdDCIi4OOjLl9OuqizTRMVuB+vshLZxo5fSJYKDISwWes/QULD2drDubvpvSQISEqDHxoIXFYHn5kJzJ2N7oK9Z493tFSkp9Nn6+8EGBmgKAABCwPjAA0Qt8+SGOJ3gRUUw/u53pDFgDAgLgwgLg3LrrZAOH6bGICQE6kUXQdu0aUbD6AxPPgnjvfeC2WxEk9F1CIsF2rp1pF+qrITpmWcA92cwPPMMeEnJYHYISBhteOopaOee639vAyDv3g2em0viZk9x19MDw549iNy+HeHr1yMjIwMulwudnZ3o6OhA96FD0GpqEFldDSU8HJIQYA4HmNMJJgT0ZcumN+kzGMYspodpOAwGaqLXrp3wW0jHj4MXFdFxck+gRUQEeHExpPfem1PNylSti1lZGSxf/SrZ67oneDw/H5avfhW2F1+EyMyc/GIYg3rddWQG0NdH1+sI57t6003g9fXUTFdXQ8gyWRz/7GcjG62EhUH5ylegfOUrZNggBPr37x+zSWM1NaR1s9u9uUXo7YW0ezfkRYsom2fCH2t0ylh5eTnsdjvCwsK8zctYFMnpIpDNis1mOysmK5GRkXjiiSfw3e9+F7/4xS/+O5qVQFNIPm4Ce5fLhdzcXNjt9oDpeMbDGZusGI0QnlwOnxswc7mgyzJyCwvR53Ri48aNVIyeIXDOoYSHQ7/kEqKsFRWRsHVggDj003S30a+4gkTclZXEQ1dV2kXLyIB67rk4XVKChoYGLF++HHl5ef6/PDAA9v77JC737Ig6nWCFhWAJCRA7dkx8ITU1kO+7Dyw/H6y5GbDZyGnJU2y2t4O//z7M0dGjFshedHeDv/027bC7CzYBgJWUgL/5JrRRqAN+H+3aa4GjR2FubIQxMRGsu5uK6tWroW3ePCK32mg2I2rTJkQBmO8zdWlsbETrsWNIqasDCw1FCOcwm830cA4PB6+sHBSWRkUNThTcYNXVMP72t0RvclOY9IULSbsywWyosGPHYHj6aRKlu3+HdXfD8OST0NasGWZpzAsLif7T0OB15OJHjlCRGBxMjmAWCzmGjQD5lVfAT52iAtFsphC1ykqI8HCo27ZBPnEC6O4mAfm6dXDef//gjrrVCm3LFsivvEL0TLudzsuuLujz5tHuOGMk0K+vH/beIj4eype/DMOjj1JzAQAGA7Tt271TAFZVBSkvj2xZPRRKkwl6QgKkwkIS0voUeCIpCer119P9wqNXmUHw0lIY772Xpj9hYd5AQaaqNMnp64NgDHJWFkLT08FUFdKhQ7SJ4XP/EvHxRM/LyoI65NyQjh4lnYDvLnRYGNDYCKmgwCsUNhqNiI+PR3x8PAxLloAXFIABUBmDSwhwiwWyJIHLMrjHfCBAmAnBOWtspIbZlyrLGERo6OD5MRvQdfD8fMrqcTohMjOhrV7tt+kwVRqY4bnnyC47NnYwB8Rioangc89Rzs1UwfnYuUqyDNePfwzlxhtp0hocTPk7E6FLMwZ9AsGI0tGjdP0vWDB47w4LAzo7Ie3dO6lmZfjy/SljdrvdSxmrddPbPI3LRLKMJoNANitnAw3Mc/2XlZWhu7sb77zzzn9HsxJofJwmK93d3cjJyUFYWBi2bNkSMB3PRNZ1JiYrYtUqICEBrKqK3IE4J0vgzk60r1kD1a1PCYRd82TgaebExRdDj48Hy8oCurqA9HTomzZ5px9ThdiwAeoPfwjpiSeoMJVl6Bs3wvHVryKnogJOpxObN2/23lB9iwdWV0cUK89OF0B0nogIsIICiHPPndjOs8sF+c47wfLyIBIS6DU5By8ogB4URI1QVBTQ3AxLXR3UJUvGfDlWW0s0riE7piI+HqirA9rbgSH+/75ob29HjsGApd/+NlLcblQwGKBfdRVc3/jGhChuvrt3aWlp0FQVoqQEnS4X6t0FdlBQECK6umAcS6Cu6zD8/e/gpaX0oDYaaQJQXAzDI4/A9fOfj1s4M8YQfugQTZl8djpFRARYbS3kd9/1b1ZcLsjPPAPW2ko0sIEB6EYjFVonTwIJCRBu69MRd7jtdiqko6MHCxb3RIpXVED58Y+hfO97YDU1ELGx0FetGnaeqFddRbS4kydpwtbfDz0zk5y33MUKczhGDZ/Tdu6EvngxpJMnaTc2I8PvfdjAAFGahmq9PG5HfX0QLhdYXR0gy+R6xnnA3O7kN98ka143jYb+UAY0jZqqnh6aZNlsSNm7F9LWrX65HcMw0t+5U7+HggGjNu/6unUwvPgiGKgZh65D2O3QDAa4dB3tnZ2ozs72al2Cg4NndBd6RtyxrFb63ENogcxmI6e22YAQkF9+GdL771MDyjnw0UfgK1dC+dKXvNPWqdLAeFGR1yXSC/ekmxcXz9SnGBMiLQ2axz1wEvA8/8ecrHhcxIb+jNE4mPszQ7BYLEhKSkJSUhJ0XfdSxjxZRhOmjE0AgdSsDAwMfOybFcYYvvGNb+Ddd99FcnIy/vCHP3zSrMwEPg6hkEII1NbW4vTp08jMzMT8+fPPKKfxjE1WwsOhfe1rkP78Z7DiYggALl1HQ1ISGrdswdYVK854owL4WAYzBrFyJUQABKHioougbtsGVl0NYTSiNzIS2Tk5CA0NxerVqyHLMhQ3V91v58/zvQ292bqLLEywCWVHj9J34KbjCEkCM5shFAWstNS/6TAYxp+OGgy0BkUZRlvyaC1GPA5CoKamBmVlZUSJvPBCqLfdBjQ2UjERGUmF5BSucWnRIhhSU5Hc2ws9OhoOxmDv7MRAVxcKdB3q8ePegi8sLMx7jFlVFaSSEpqGeNZtMkFPTIRUUABWVzfMMtkPfX2QW1shu3fmh31mtw2wL3hlJXhdHdnS5uZSECNjRGGTJChf/jK0884bfarjOUZDH+KSROeEokBfvBhyZSUMjzxCdMaMDKjXXDM4qQkJgXLHHVCrqsBLS8nC2GCgyYBn+mexQPNxAxt6HxOJiVCvuGLEJeqpqeR21NHhR2NiHR3U0HV1wfTTn1IDL0kkyN61C7ymhqgukZFQt20bm14zMAB5/37wU6coQHH9emjbto284+z5DjwWvLI8SMd0uYgC19UFPSkJXFEgv/UWifHffJOaQvd5zlpbSWi/atWwt9C2boWUmwvh68TU0QERFDTizwOUE6JecAEMTzxBYn+jEcxgAAsJgcHhQOh11yE6OhqdnZ2orKwk+2QhkFRUBOvAAFhKClHvpuie6Fe8u1yQPvgA0uHDdA6tWwf1wgvH3vUHoG3cSJO+igqicEoSTQYlyd9WN4DgZWWQ9u2DiI4eFJ07nZBycqAfPerVpE11siKSkwddBn3ym6DrI1+nQoBVVw9mnsxmFoemgZ86RcYKQUFwuDc8xvrcemYmXRM22+AkStfJFfDiiwO2VM45wsLCEBYWhrS0NKiqiq6uLnR2dqKsrAwOh2NalLFAu4F93DNWADJH+M53voPrr78e8fHxnzQrM4G5PFnhnENVVeTm5qKrq2tW7XfHwpnMWRGbNkFNSwOOHUNLRQXqJQnJV18Nrago8I5TE8SsuaWZTBCLFqGpqQkFx48jPT0d6enpg1MU97991yLi40lT0tY2OKnQddJVbNo0YZE9a26mItZTxEVF0QRElokC5HLRz0RHw56ZCWmc70ZkZEDMn0/UtoULqZBzv4a+c6fXFtUXuq6jsLAQ7e3tWL9+PcI9PyPLgE8zMOXzIiICCA2lBPCODpgkCda0NLi+8hWEXHklOnp60NnZiYKCAm+4WVRUFGJ7emAeawJgt4+cJt/XB8OLL0I6dAjxXV1Aayv9rG8ToaqkO1izxv93VRUYGABvaqKmMzSUihu34YK+cuXY9DO3tal06BBZFHvOobY2iLAw6JmZMDz+OAxPPklrDw6GdOIEeEEBXD/4ATRP8cEYRHo6tPR0iPR0SG+/DV5dDeg69OhoaBdcMHWxq9UK5aabYPzLX2i6GhoK5m4Y1F27YHz6aZq0JiZScXXkCMwvvURFncFAdqv/+Q9c3/nOyAXvwACM991Hkx13MSLt3Qvx9NNQr7wS2qZN9Npu6KtX03+4XERRDQmhwEu35spj+KCsXIkBlwu8vh7q1VeDl5SQU5wsg2kahMkE9ZZbqPEfAnXXLvCsLHJT8lzHJhPUq64alh3khckE1z33gA0MkEObzUZTqb4+6OvWQbr4YsyLicG8efOgaRrsBw8i+N57ITU1QXM3GuIf/4D9l7+EZdWq4YWcy0UZLk4n9MWLhwVsejUcqkpOYHv3Ep2bMciHD0M6cADOe+4Z8Zr2QMTFwXXHHTA88giFUeo6REQElM9+dlQa40yDVVSQBstXRG4yQVgskHJz/ZqVqRSvynXXQX7jjcFmG6Dm0mKBct11/mupqYHpnnsgnTrlnbYqX/4ylC98IfB2zgMDZPJw6BCd6wBCIyIQu2sX2BAqqi+0DRugbtgA+dAhMoSRZbDubhLxB8i+fiTIsoyYmBhvpIPNZvM2LzU1NeCc+7mMjUcZC7TA/uM+WQGAP/zhDwhzb0homvbf0awEeoIwlzUrLpcLNpsNJpMJW7ZsgWmKVrczjTOdYO+KiEBuQgIcERFYvXo1QkJCSLQ6R4IqR0qODwSEEDh9+jTq6uqwcuVKxA6hSXl2vfzWEhUFfdMm8H37KIfCZKJskcRE6OvWTfy9ExOpgHbv+IrYWBJEu3fP2enTQFQUtM9+Flp0NNh4343RCP3mm8H/8Q+w4mIvPUIsW0bZLEPgdDqRnZ0NXdcHraltNrATJ6hIjI6GWL9+WkYG0gcfwPDII8RVj44GFAW8rg6Gt9+Gdu21pBGwWsHb2+EqLESfy4Xm+HiUBwdjHWMwV1dDSk2laR9jVPjHxPiFIg4eUAHDww9D3r8fIjoaekgI0NNDbmCVlbSzKwQFuS1cOIzvrbstT1l7+2CAonvHVsgymSmMBcagXnMNeHk5eHExhNVKlC3GqHAyGMieNyjIm2AuYmPBqqpgeOYZKv6HBJnpixZBT00lip+uQ09KGnk3WAiaoE2gUVZvvBEiNBSGl18Ga2qCnpkJ9ZprSOPQ3Q2xdCmdO0KA22zgbW3QIyKgJyQAQUFgtbUwPPIImR0M0fvJ+/ZBOnmSdvLNZjoWFRWUYXTsGER8PFxf+hI5LjEG9ZJLoK1aBSk7m8wHPLoYo5GoNRkZ0NPToUdEQFRVUThidDScv/sdpPfeI+1IZCS07dtJ+D8SQkLguusuSAcPghcUePVC+rp1YxepBgOcv/oVhKJAPnAAgnOiq7lcMD70EFw/+AEQGgpJ1xH98MPg3d0QixdDYwyKzQZDTQ16fvELnPrOdxDhY49sKS4mE4aamsGi+aabvMeEvk6igUnHjkHet4+sit3HWjidkLKzIb/3HtQbbhjzu9bXrYPTo79xuShgdJoU2kBA1/UphfjpGzfC+bOfwfib35BbFojm6frRj6Bv2DD4gw4HzN/8ptfqGkFBYF1dMP7mNxBWK9ShjU1dHaQPPwSz2Sgkdf36kc04amog79kD1tEBff58qBddNCJF0/D885A++ICuoZAQQNPAamqw8KWXwG6+me79I8FohOt//xfilVcg7dkD5nBAvewyKNdd598AzjKCgoIQFBTkRxnz6BRLS0sRFBTkRxkb2phomhYwBsfZ0qyEhYV5J46SJP13NCuBhi/Vai7ZxTU1NaGoqAicc6xbt25OhE55MJ6lciDR09OD7OxshIWFYfPmzV7u6RnLfhkBs7EWRVH8jBZGGh0zn+LBF2LrVujR0dQU9PZCnz+fgisnEZQlNm6EWL4c7NQpKl5NJiAoiIrxSy6B2L6d9AapqWATnHqJhQuh/eQnYLm5pD+IiSEXsCF++r29vcjKykJERMSgJXNNDaTf/Y6aJE+RvnAhtB/+EEhImPDnGlyMoJR2u52oVJ5jabdDys2FdPAgtLVrYfj73yHl5cHIOUJ0HQlmMxy7dqH/+uuBJ56AMz8f/UFBsLhckC0WaFdeCTZCA8XLyqhQnjcPCAuD3tcHZ1oaQoKCwPv6vDa9yjXXQPnSl4btZiM4GPrSpVRENjaCmUyAw0EBlykpw2hjI0FfuhTOn/4U8nvvkRNTdDQV0tu3Qzp8mChNQ4oMER0N1tgI1tjoPxnwUFtMJojMzJEnSYqC5FdfRdD3v0+2xwsWQPnqV6Fefvnoi2QM2qc+Be3SS70TDTAG4913UyHluYfbbJRWrWlgDQ3g/f10jBISwJuaIOXnQ9uyxf87cFO/YDaDtbWBFxbSRzEaaWdYUWD8618hFiwgHY7ZDPsTT8D4pz/B8MorgMNBjmPz54P39npD+ISiwNTdTTa/iYlAZCTUW24Z9/vwwmKBdtFF0IZkSY0HKSsLUkMD0dg8BZC7WZAOHoT2qU+BFxSQs2BCAiBJkABIISFAcjIS2togh4ejNSgIDQ0NqDh2DOv//Gfa/Z83DwaLBay9HcbHHoOIi/NO1zzPUp6fD6Eo/k2hyQRhMkE6dmzcZgUAfWdTtPGdLkRGBlmhd3YOFvFOJ1n3+lB7p2NdrH7mM1B37YJ07BgAor8Npd9J+/ZRiGNMjLehFzExYM3NMDz5JNRrr/We9/LLL8P4u98NptUbjVDPPx/O++7zozJKH34I089/Thb2AARjMDz3HBy//71/IyEEpHfeoePgecZIErSkJBhLSyEdPgz1qqtG/4ChoVC+8AWyTh7Jyv8Mw5cylp6eDkVRvFOX0tJSOJ1OhIeHe5uXkJCQgE9WEqbyvJqD8L0mPmlWZgCSJEEIMWeaFU/aeGNjIxYtWoSysrI51agAAZysuAuy0XYM6+vrUVxcjIyMDKSlpfl9X2d62uOLKTUrHR3gr74KfvAg8e137IB+1VUjhtL19/cjKysLwcHB2LRp06i7eiPRwNx/AbF4MYQn0XgqMBig/vKXkH73O/ATJyhlOjIS2te/Dv2WW/xFsZNx9AsPh9i+feTiFkBzczPy8/P9KW9CQHrkEWq+MjO9gnZWXAzpkUeg3H335D+fb8qz7/losRDFqKICbGCA+OuZmV7KF2tthXnPHrAf/hA8JQXmd96BXlOD/qgoVK1Zg1qrFcHHj3vD/DxaF9bURJSvIVQgkZAAPTISjj/+kWgzfX2U9fLGGxDh4dC2baNCE4B23nlkoMAYRG8vRGQkRHo6UcFGEbUPhViwAMoINC0RFER5Ky6XX/PIPJoidwPG8/Ig7d1LGpHYWGjr10OkpECEhw/bFY+4/34EvfQSmMEAYTSC5+XB9J3vgJWUUMhjevro63Y3Qt71JSYChYWDTVJrKzUsAHSrldbX3w9eX0/n5kj3Cp8ChNXXgykKRGioV/8j4uLAKishvfceNSsApd7fcw9cP/sZ3b8kCaysDIanngIvKoIIDYXU2wuDwwFt+/YJfw8zAV5cTJ/Td6fWZAKMRkjZ2dA+9Sn6PofaWwNE2dE0hJpMCHFfa6iqgrG7G/2JiXC5XBBOJ4wWC0K6u4HXXweGNCt+hamuAz09YDYbUeXmaBCzL/TMTGjnn09TgeZm+jy6Dm3VKr9J2LRDISMioO3aNepf89paOq+H7OYLi4WMRBwOwGIBq6iA8be/BRwO0ssxRhqsd9+Ffs45RBkDgP5++rnubojUVNLAqSr9/p/+BOcf/+hzEHTKSxr63p7n9MDAxD7jGM/1uQSDwYDY2FjExsZCCOHnMlZdXU33asa8YeIzzXY5WzQrQ/Ff0awEuoHwdMiqqp5xcbbdbkdOTg6EENji3vUrGSvA7QxhpjUr7ORJ8NdfBzt9mug7u3ZBv/RSL09f13UUFxejubkZa9asQdTQXeUArGk68ArsJ4quLsg//CFYbi4VgkJAys0FO34c2v33+1GZWlpakJeXh9TUVCxYsGDc6yOglLTERGi//z202lqahMyfP2JzNeVG0uUC++gjsqQNC0NFWhoq+vqGU96qq8EKC8ny2EfQjuRksmSurfXaIY8It82vcGtUAJCbVEQEibWBYeYDIjIS/NQpiJAQ/6I5JgassBC8rAzarl1Ej9J1mDlHBoAURfHmYRQUFEDXdURGRiLR5UIC50S9slgGNSP9/bSu4GAKFLznHvDSUrJ1FgL6iy/C9cMfQt+4Efry5dAXLQLv7qaplhDeoDdtmrkU+ooVEOnpRLdMTSXKl8PhDRkUMTHgx47B+OijQH8/RFgYpPffJ41LWBhEUhK09euhfPWrlKdSUYGQN9+EajQOipdNJrCmJpgeeADa3r0QMTFQr7ySMiPGOc+1bdsgHTtGmqfERPDmZmowJImuH0mineHmZnJAWrZs+GusXw/p4EGiMzqdVJB5XKB8zosRKXWMeQt+kZkJ5YtfpIyd6mqoKSmoMxgQPUvCcC9GczzSNGo8QVQ9ER1N9EGPHsetddJTUohe6IahuxuywYDQiAhACKiqCpfLBafBAHtxMfKOHEFkZCR0XYcQAtrq1ZBffhlobQXv6iJHREWhhqW1FTwnh87TuQrGoF57LV1ThYVjWhcHsk7xbEZAUfyolszhoLwh98RE/uADEt/7TIIREgLR2wv5jTe8zYqUlUV03cTEwYZSliGioiCdOgXW3Dy4sSBJ0FatgrxnD1FhPa/b3w9hMECfSGDvxxSMMS9lLDk5Gbquo7e3F4WFheju7sahQ4cQHBw8JmVssjhbclaG4r+iWQk0PCfXmd6V96Sux8XFYcmSJd7OXQgx/Z2bGcZMTjHYoUOQfvMbKnbDw0l4+uCDQHMz9K98BQ6HA9nZ2d4GzjKEEuS7prnSrEy2QeBvvQWWm+ufIm+3gx87BvHBB9Avv9wvCHTFihWInyB3e8zGyeGgnbHg4In564/8BsD8+aNOQjxrmHTD1NEB+bvfBTt1CtA0uFwuJISFIeFXv4JlCEfam9I9iqAddvvI76Eo+P/sXXd4W9XZ/51z75Vk2ZYt79hxYsfZe28gCRASIGGvstsCpbuFFvja0hZomW1ZZbRQRtl7BEImZO94JI7jvfdeWnec749XkiWvOIkdAuV9nj4PdTSOzl3v+A35o48geR/yIiyMfD0uvRSwWKBddhlMjz0GlJeDCUEFi8NB/h1Ll8KUldV3Eh34ewOuXUVREB8fj/j4eL8rc2NjI0ptNuhhYYjMyIBISYFuMkFuagLTdcKkm0xQXnwRPCeHJg4mE4RhgBcXw/TUU3BNmQKRkADtsssgbd4MXlVFkKkJE6CfffbJd/QVBZ4774Tp/vsJaiaEP5FRf/QjQNMgf/YZdXUnTCC+R20thGHQngkBef16oK0Nnr/8BVJWFpjLBT0iAgpAOPj6etpjIWDExoK53VD++1+I2FiCMvUTxsSJUG+5BfL774NVVoK1tsJITaXEuKmJkjFdBwOg9oHN1886C/qBA5C2baNCzO0mrkdsLHEFdB3QNBi9FDoA6JxduxY8O5s4FqNHQ1+1Co6kJLQdOHDinWVdJwnq4mJSAZsyhYoxzmktfUxW9WnTIH/2GRG4fQ0eLxzQz0+LjIR6440wPfkkWHExFcqdnaTs9oMfBHXU/d16L/xOVhTIsgxuGDDNnYsxY8agsbERQgjs378fkTYbxixejJgPP6Q1WCxgkkSk/JgYyB98AM+oUV2FYLdgtbW0n/v3A7IMffFiaOed12tDZMiCcxhTp/YtZoCTg4ENJLRly6CMGOFXtIOiEMxLCGjXXtvV2Ojs7H2CoSjEf/OFx0PCDt3X7BU1gVdF0v/9V18NKSODJs1e3pPU0YGGadNg7y708S0OzjkiIyNhMpkwcuRI2O12P2Ts6NGjUFUVERERJyUJ3tHR8d1k5bvoPXwjva+rWBFCoLCwEMXFxZgwYQKGB3SAAwup06lYGbQphmGAv/MOGRSOG0edUIA6cZ9/jqYFC3Cwrg6xsbGYOHFiv12L061YOZ61sH37KCkInOyFhNAIPjMT2ooVyMrKQnt7+3EbgfZaOGka2N69YBkZtPehoRAzZhAhfQi8e06kWJGefhps927ow4ahXVXBhICtpQXs0UehLlwYlOCIESOA2FigthYIhFHV1gJxceS30UvIH3wA5Z13qPMfFwfW1gbl3XcBjwfaTTdBveYaSF98QcZ8Xr8HERYGffp08NpaGDNnQn7rLQgfdwIko4uwMIKGDWBfgnxd4uMhnnwSyMmB6OyEarWidOFCqDNmIKaqCiH79wfh1sE5jORk8LIySFlZpFY1ejS01FTq/jNG3dBBuncYEybA9dxzkHbsoEnU8OEEhzGbwWpqaIoTH0/XdX4+dehNJjL8LC+HiIwkBbGsLILXSRIZKRoGeG0tSZwC5FNy8CD0BQvAamogbdp0zGIFAPSFC6HPnEn7sWYNfWdcHHhODskDWyxARESf0siwWOC54w5IixeD79xJXiUdHUBYGPE0mpshRoyAtmpV8Ps0DcpLL/kNORljMKKjCYa4fz/k73+/Z9IiBEGhTKb+j09nJ0z/+AekXbsoyWxpoaLObCY57ORkeO66q9f9MaZNg3b++ZDXriUYk1diWVu6FPqiRV3Lv+oqiLg4yB9/DF5eDmP+fGiXXdaD9K+fcQaMsWNJgCEuDkKWwevrIcLDYVx6KWJiYhAdHY3KykpMnz4dnZ2dKDzvPGj79sFqNoPbbODDh0MZO5bMKfPywPPze/X9YQ0NMP31rzRFtNnIu+jFF0l97u67T7y5MgQx5M3EsDC4n34a5rvvJulgTSNi/c03Q732Wv/L9IkToXDuFz3xLg6sszOI72RMm0ZT44YGv1gGhCDe2JQpQbLgvte7H34Y8ptvQsrIgLDb0XLppSiZMwf2gU4SfHDRbwAU7Fjh46z0BxkrLi6GJEn+qYvdbh8QZKyzs/NrMfoe6vifKFZOBY/k6ypWPB4PsrKy4HA4enVd990AdV0/IbWRoYpBKwwaGsgnxOtu7QsREwNPZiaK1q3D6CuuQHJy8oDgToNerFRXg+/ZA5SVATExEHPnDkh2NWgtZWXgu3YRlCkyEmLOHIjZs4MTFK9xW48QAh4Au3btgsViOSHDy94mK2z3bvCNG2k9UVFAWxv4unUE3whIYtDZSSTlkBAgOfmEHzTHVax4PGAHD4K/9x50ztHmdEKxWKhLFRYGVFSA79hBMEFfhIXBuPxy8OefJyihzQbW2kowhcsuo/d191lpbYW0eTPtgRdmIUJDiWS8bRv0Cy8EOjthTJ4MfepU6s5bLDDS0sBzc8E3b4Z29dXgR46QqpOiELxGUaCtXNmlyHUcIaWkAI8+Cp6Xh5aiIlRLEsLHj6fJS0kJ5jQ3QwoPh+zxQDGZyBjQ54Pi4wB0dEDKyiI8enQ0wdRCQiCtXw/l7bfBKipoCnH99b2bQwKUSDsclEh3v+/YbERu7/4WsxlCUWgaYTJRd97HhwBIDa21lXgkBQXQV62ClpAAuaKCoG+B0y+LBay1FdK+fTDGjqVEe6BhscAYOxZi1Soo//0vWFMT9MmTwdxusPp66LNm9X9szGboZ54J/cwzoV1+OUz/+hfJBgPQly+HesstPZI5+e23yXumoYGU8WQZrLkZ3GKBsFhgWbMGzMdJEALSl19C/ugj8LIy8n654AKScu2lUSB/9BGkr76CMXw4mKpS4eV2Q+g6jOho8OJimO+6C85XX+3pH8M51BtvpALu8GGSjx43jiSXA48rY9CXLQs2Ge0twsLgvu8+KM88Ayk9HdzhgJGWBvXGG/3qVb7r3Gq1wm63Y3hcHJTJk+F2udARGgqHwwFPRQXMJhOi2tuhtbTA3EuyL23aRKaq48b590U4nZD274e0d++AitdTFb3CwJqb6drsY2p03N8xfjycH3wAnpFBUK+JE3uocOlLlhCUcfduKsxl2S9Uot5wg/91IjYW6o03Qnn2WZrWmM10/dntNCXtpfAypk6FZ+pUmi5yjuaqKr8sen/BDx4kv5yjR4HwcGjnnUeE/NOo2Dze6I1g3xtkrNUrbV9eXo4jR44gLCzMX7xERET02nz9Dgb2XfQbX4cxpE/VymazYcGCBb0WIz4y1+kyMfDFoBV3FgslRAHKYoZhoKW2FpKqYuyMGQjrzzwvIAa9WCkshPTMM0RgtFgIr7x1K4wbboDopiLU51qKiiC98AJQUwNERhK599AhGDU1MAK6u+Kss4AtW4ik7nu4NTZClWVkhIcjLi4OY8eOPaHCvcdkpaMD7OBBKlJ8D7vQUAjO6e/TpwNWK/jnn4N/9BE5xysKxOTJ0H/wA6BbojaQGHCx0tgI/p//gGdkQNTWwjAMhGsaZN9kxOfm3dHR463GBRdAhIeDf/EFWHk5jBkzYKxcCXHGGb2SqVlDAz3IuymviMhIMl6rq6NuoNsNMWECREoKWHU15E8/Jd8QALykBNrVV4PNnQuelwdhscCYNg3GtGkn3kGUJBgTJsBts8FoaEBKSgpSUlKgTp4Mae1aSFlZaJFlCABmkwnWlhYoEREwJkwAKy2F8u9/ky8F4OdbsJoaSEeOAJIEYbWC5+dD3rgRrieeIIhYQPD9+/2/UYSGQl+6lNS5+oBf+sNuhzFjBuQNG6CHhtLvdzop0QwNJRiVxwPe2gre3AzdYkHDffch8pe/hFJT0wWbUxSCmoA8J1h19XFJavtCjBlDxeTWreQ9YzJBW76cSO4D7AaL0aPhfuQRui6B3hNPjwfKhx92KR1ZrfC5kLP6ehgpKZBKS2HywnCkdetg+vvfwTweiIgIsLIygmDV11OiGBiGAXnTJio4w8PBDxwA83bVmcsFpmlkOFleDuXjj0mO2BusoYES25oaCK88cr8+OwMMMWIEPA8+SAaNTid9ZsCzy3ed++9VJhPE+PEI2bYN5uRkRMfEQNc0uMvL4Tabkd3aCvf27f4kzudzIWVlkQJVYAHnE7fIzz/tihVfscUPHIDpkUcgHTwIgLhU7rvv7t+IdKDBeU9/pcAwmeD6xz+gvPQSwf8cDmgrV0L9/vdhTJgQ9FL1xhthDB9OPi/V1TDGj4d2+eX9wt0A+K+dgUyT+P79MD/wANDSQgpntbUwPfcceGkpPL/97Td2yjIQNTCfd4vdbkdaWhpUL1exqakJOTk5UFUVkZGRaG5uRnh4OGbOnAnG2Ckn2JeUlOD+++/H5s2bUVNTg8TERFx33XX43e9+N6gc7u+KlUGKUzlZEUKgvLwcubm5vapafZ1rG2gMWmFgs0EsXgz+/vsQ4eFQTSY01dbCWlUF69SpxywKhmRNAHU/P/yQ5FgnT+7CBBcVgX/wAfRp04IVdrqFr8DkmzeD1db6P8MHcWNffQXMmeOX1DXOPZdEBr74gpzXGYOLcxTPno1hl16KxJNIMnoUu21tRNruXnRERoLl5YG//TYpSu3YQcpcSUmkrLVzJ6T2dugPPNCTG3K8a+gj+EcfgaWnoy4qCqF2O8JaWqiLXFND8K6WFpJHDnBAD/gSCK/MbpAjdF8RGQlhtVLBEpiIt7dTcm2303RAlmlq4XTSg93Lf4DFAmnPHvDKSrgfeeTYXekTiMACTzGbwW+7Dea//AUhjY3QQkKg19dDBZA3fz4aCwsx8cMPEVlUBDFxIsFbt24Fz88Hczi6uqWqSpC3hgaYHn0UziVL/AkI37cPpscfp/MjOhqsuZlc0KuqoP7858fcU+3yy7skfxkjNS0fgd7lAm9thREbS54kANwzZyL7j3/E7AceIMEAh6PLAR5EIIbJRDyFgW0YWHExFWsmE/SJE2HceisVGybTiXvu9NMdZy0tNMXyGUL6zj1FoclkezsZpioKFTZvvQXoOjmQAyQXXlcH+bPPoF10UXDx7ONb+a639nbiGfiOg1c9UXAOVl7etaaSEiivvUbiEGYz4PFA7NoF7corYfR27RxvMNan34nvnA1MZPUlS8ALC8GzsyEiI6E4nVCEQMgll2DuqlVoa2tDU1NTkM/FRJcLdqcTPFCl0/vZ4jTryvs4Kzw3FyE33gjW3Oy/p8jr1oEfPgznmjWEIBjqiIiA+stfQv3FL/qXCmYM+jnn+I0tjzeOWawIAfm998gEcuzYLun3lhZIW7aAX3SRX9r7mxYnYgLanavocDjQ1NSEt99+Gy+88ALCwsIwb948NDU1wX0KlfKOev3pnn/+eYwePRqHDx/GLbfcgs7OTjz22GOD9j3/E8XKtwkGpmkajhw5goaGhj5Vrb6utR1PDOaa9OuuAyoroe3dC0dbG2wmEywTJsD49a+Pa1Q8qNLFDQ1AQQElDoHwtORksIICUhzq56HPOQdzOsHy82lUH3gOe9WiWHl5V2KiKNB/9zsY55wDceAAqmtrUT1iBEZfdRVsXhfYE40ekxWrlTqUHR1BRQfbsYOMIr0QFug6ddlGjCBoi8UCdvQoWHo6Od33F77v8xV5A5msNDVBZGSgVpLgMgxEnXEG2IYNJALQ3Ox/8BqXXUb8pv6i2z2jt3uIiI6GsWABpDVrwCSJOv/t7eDV1dDOPZeOjarCSEkBLygAq6khPordTn8fPhyw28FycyFt3nx8vhkDiN7WbMyZA/df/0qTj9xcID4eOO88jFy4EPbMTJiKi1EbEgK1qgpRtbWIKC8nedOODiryfGpjnZ0QNht4SQkl99XVkD77DPKGDWBuN/S5c4nrAm9ysXMntPPPP2Z3WERHw/Ob34AfOgR50yZIn3wC5lV/giyTQaJ33wBK8hzJyTDGjAGrrYWRlkaSwa2tlGCHhkK97TaaVHXfn5oawtwPG0bkcU2D/MYbkL/8kqaHAIyEBKjXXXd8Ph2GAZ6dTftrMkGfPp04UX395ogIkpSuq6Nry+Eg1TFVpUSxsxPus86CZrPRmmtqenjkiJgYvwGlHlismM0wJkyAtHUrJbrh4WQs6lMos1ioQDOMrjUKAWn9erCaGhgTJ4I1NRGf6OhRyB9+CM/YscfdbDie6D5ZYTU15NtTVATW0gLh8UCfPRv6/PkwZs0CY8zvc5Gamur3uWibOhWmffvgyssDj4mBxWSCtbUVLDy8/+nC1xA+GJjy8st++KU/ObdYwKuqIL/9NtSf/vTULWoIpIJZYyPdp4cNO3ax4nBAyssL2gsAQEQEWG0teEHBN7JY8QkenYzqF2MMoaGhCA0NxYMPPoh7770Xmzdvxvr16+FwOHDBBRdg2rRpWL58OZYvX45FixYNmSH4ihUrsCJANnvUqFHIzc3Fs88++12xcjrGqXCx7+joQEZGBhRFwcKFC8lxewBxOhYrgznFEFFRyL35ZrQMH44xFgvCUlOhz50LHGeSPqgSvX3d6H1d0wHwZ3SvkzVcruB/9GJ+e3ABJAmd06cjXQgoioLp06cPyhi2x1QjMhLGpEng27eTrGt4OJCbC2ndOsIujxoFZGdDuN1kDGi3Q6Sm+nk1rKGhb+Wv5mbwjRvBvIR0MW8ejHPOGVCx0tnUBEdFBRAdjRHJybSHZjNBX8rKIIYNg37DDTAC1G9ONtSrryZlm717iW9gtUJbtgyqr/BQFOKurFsHZe9egu7AKyUaFQWfWzkvLOz/ixobIeXnQ9jtQV3GY0Vve2ZMnAjPxIlBf1MAxNpsMFmtCI+IgFFeDl5QAHR0QOMcJiGgaxqYolAS6YNnMQZ5wwbq9jscYPX1YIZBnJ1580jaNCICrLoavLQU+kCgLGYzjNmzoSYmEryzvZ3OHYuFFL/c7iA1LcNkgnrVVTD94x+UiMfF0Wvb26GtWgXtiiuCP7+tDaZnnoG0ZQtdW6Gh0FasgDF2LOTPPyflrhEjqOgoLYXy8svwJCdTUWGx9A8B83igPPssFTxeDo1st0O7/npoF1zQ5+9VL7kEpqefpumKxwM0NflhXsb8+XBcdBHQ0ECcKJOJpoWBJFovz0f0Av/QLrmEeFFHj8Kw2cBBqk8iKgqCMfCKCnKR98JKWWMjeHExjPh4SF9+CenQISoWdR1i504IRYF6110nL7rQrSHR9eeuYoXV1sL0hz9Q0hoeThCuigoYKSkkWdzLsfCRlvG970Hu6EDYhg3Qy8uhejxoNptRe/bZ0BhDVH097Ha73xT46wxf4u43FQ3cEy+nTMrKgtrbmx0OyJs2gZWWQgwfTi7ypxtnoaUFpmefhbRlC527ERGIWLwYnvPP7/s9JhM1SgJVyAA6DzkniN83MHy52GAKKoSEhOCCCy7A8uXL8dJLL2H//v3Izc3F+vXrcf3116OlpQVnnXUWli9fjssuuwzJfQjGDFa0trYiapD9oL7+q/RbEkPNWfEZ2SUnJ2Ps2LHHdaKfjsXKYK1JVVVkZWWhs7MTM26+GeHh4f1K4PYXgzpZiYmBGDcOfNcuws9zTh3M0lKIpKRjkqc559AlCWLWLLCPP6ZOsk/dy+sD0b1L3djYiIyMDCQmJmLcuHGDdjPsrYgTZ5wBQ9PINK6uDuzwYfKUGDOGeA0WC2HjNQ2suJiKFbeb1LD6mgZ2dEB68kmwjAwgIgICIEjZ4cOQr76632Klvr4eWQUFmDVyJKI7O7sSqREjYHAOTJ1KTvSjRw9utzA0FOrtt0O76CJKlKOiCIPfTexBu+Ya8LIysE8+gTF6dFdnWghKTlUV8gcfEN9k3DgiBTMGqCrMv/sd5E8+of0LCYE+fTrcDz7Yw/zRF6yuDnz/fthKS+GWJPrNA1CHMZKSIMLDIaenQ5hMYKGhYO3tkLwTKa5p0BgjYraug7e0QJsxA/KaNRCMQYweDcnhIGUzVQXPzoaekNBlGHicOGqRmAjtwgshrVtH/CCHAyIyEtp55/VQStOuvBJgjAQAGhpI6eiKK6DeckuP42164gkqSmJiyKSxrQ3KG2+QCpnV2nV+ShKMkSMhbdsGy+2302QnKgrGvHmU0O/bR4Tf888nwq+iQNq8mQz04uOB1FQ6vpWVkF99Ffr48X1e99pVV4F1dkL+6COCZoWGQk9Ohnb++TAmT6YpqxBAdDT0hQshf/IJJWtWK/F4yspgTJrUqySyMWUKPL//PSl1ZWdDmzsXvLISzOMBb2uDMWoUPIGcCO9+8aNHIaWnd4kcCAHmdlNRZbVC+9nPuq4zw6DCZtMmsOZmGNOnQ1u1qst3JSBYVRXkd96BvH07/fYlS6BdeaWf7O1rjDDGIK9dCyk/nwp0H0m+sxPSrl1Ekl+8uO8TSFGg3X47+FlngR89CrMsg0+ejIiICDQ1N6OwsBBOpxMRERF+g9WwsLCvxdjZV6yIuDggJyf4H70NLt+kMjBYUREst90GXlTkf61pxAi4nnuu96mD00n3bO/Erd+C0+2m67avYk4I8MxMSHv2AEJAnzWLuGG9qNaZHn6YuFPR0TCiosBaWhD75pvU7OrWOPGHokA/+2woL79Mam7h4WS0W1ICIzER+gnw0E6H8OUYQ+Fg3+HlYqampmLmzJm45pprIITAkSNHsH79eqxbtw7jxo0b0mKloKAATz311KBOVYD/kWLlmwwDMwwDubm5qKysxNSpUxHvkwk8jjidnNl94Zus+J2KTyDa29uRnp6O0NDQPgUGjicG2xTSuPhichXPzqYpiKpCxMbCuOKKY5KNfdMMY9ky8IoK8EOHyONBCIj4ePoMb/InhEBpaSny8/N7SFcPRvQ61QgJgTj/fJpgtbdDcrnAjh7t6nTGxBCURtchOjuBlhaCrU2ZAjFjRu/fs2cPecUEwEyEqoIdOYKQgwchenmoCSFQUlKCgoICTJo6FfaoKODll8FycrqI7kVFZIh4550QU6dCv/lmmv4cRwgh+i2WRGJir4mZPziHdvHFkHbvJjM17zFi5eVAZyepg3k5AyIkBPp550FbuhSWH/wA8tat9BmyDKGqkHbuhOWnP4Xz/fd7uELzrCxS6Kmqgs3jgdnjgbmwEJ5f/KL/9QF+uWRp50465iYTmGH4k3Te0QFFValg1jQ44+ORN2UKxnz6KfThw2HSNLCYGHLL9vk4NDWBNzTASEmBfizibWC0tFDRMXw41B//mHxZDANi+PAexa7P6Vy76ipoF19MRWNERK8FGisthbR9O8nm+qBk3omfdPQotG4JEC8qIm+SmBgytMzLIy8YRaHkUdNgPnAAPCMDngcegLxtG10DXoI/GINISgLPyYF04AC0vpoUsgz11luhXnYZySUzRqpVubmQjhxBmBBICg8HpkyB+sMfgtXWQsrMpGYAYzDGjIH7zjv79EsxJk+GZ/LkrqmsxwN+5AjBIidODCa4R0XBGDUKpk8/JQNGTSOVNq9SHTMMmN59F8ayZcRfEQLKM89AeeMNuscpCqS9eyGvXw/Xo4+S95Nv/xsaYP6//+uSExYCymuvQcrMhOvRR4kHFjBZ4QcO9CTJh4ZS0nr0aP/FCkC/b/JkGJMn02cCiGluRpzHA2PcODgtFr/BamlpKTjnfo+LqKioU2by7OOsaFdcAXnbNoj2drq/C0E8I+/0rdubYP7d78ALCuhcVBSSlC8thfm3v4Xzo4+CihH5/fdheuopUuDinM6ZP/6xB0SSHzwI5cUXIWVkAGYztPPPh+cHP/BDL33frTz+OElzO50QABSLBdqFF8Jz111Bx4vn5kLeswdGQoIf7SCsVhgOB+wbNgC3394nXFu98kqwkhIqiKqrAQBGYiI8v/zloKmk9RuNjZC3baPnr8UCY84c6AsX9rjvHk/ouk7n9hBIVXd2dgJAEMGeMYZJkyZh0qRJ+NWvfjXgz7r77rvx8MMP9/uanJwcjA8oiisrK7FixQpcccUVuOWWW45z9f3H/0SxcipiKIoVl8uFjIwMaJqGBQsWnLAc3ek6WQFOjGgGAFVVVcjOzkZqairS0tIGpSAddDWwlBTov/0tdWCrqkjtaNYs4nAMdC02G4xbb4XIySEMeUgIxKRJRLgF3fiys7PR2NiIOXPmINKXJA1i9Etuj4mhKdL06cAnn3Q5JEdFUSJVUECJa2srxMKFpAbWx4OJFRRQoheIrVUUwGSCqagIopsaTeBvnzt3LiIiIiASE2FYLORan5kJVlJCcIKUFIL1bNkCVlkJ7bHHTt7k8DjDmDABnp/+FMpLLxGBWwgIb9JrjB/vT65ZQwOkdevA09Mh7drV5aDu7WwLSQLPzYW0dWsXudXphLR1KyUj7e3QZ82CW9fhaG2FLScH8jvvQP3lL4+5RjF8OPTZs6mT39wMQ5bBvSIFRmwsTcbi40km9/LLkVZUBNOGDXDoOtra2wFFQbjNBlNzMyRdJ9+UceOg/vjHAyOnezyQP/kE0tatZLIZEkKQsCuvHJiRn9lMhWBzM/midPOIYTU1YJ2d9FsCf7fNRp4fDQ3QU1PpPd7pEBgjE83oaJqOqSqELPsTRNHWBvmLL2i60tHhd3bv+lLvvWkgpNfoaBjR0ZBffx1SRga5v4eGQm9oQERmJn3PVVfB/cgj4AcPgldWklLX3LkD21/fvdZsJvnh3oIx6MuXg/3jH/41M03zn4fC6aQC+/BhGFOmgBUUQHnvPQirtYunpOvghYVQXn8dnj/8oevr160Dz8sjcQDfpCQ2Fjw7G/LGjdAuvzzYIDEkpKdkuBA0ZTrehNHhgPm3v4Xyxhv+Asx83XUIeeghJCUl9SoVGx4e7p+62Gy2IfNC8XFWtNWr4Tl8GMpLL5EQB2MQISHw3HUXjDlzgt7DCgrIs8Rm6yo2ZZmMkXNzwbOyCCoHQPrqK5jvu4+KSbud4HSHD8Py85/D+c47fq8UnpkJyy9+QQacXg6e8tJL4NnZcD33nP/eLG3fDuXtt4GQECpCGANaWiB/9BH0WbOgB3AYWGUlCY10a5aooaEwtbVBNDb2FGvxRVgYPH/8I3hmZpe64Lx5Xc2AIQzW2AjliSfAjx6FCAsDV1VIBw+C5+ZC/eEPB6wI2D1Olq/SX3R2diIkJGRQPv+OO+7ATTfd1O9rRgU0IqqqqrB06VIsXLgQ//rXv076+7vH/0yxckIO2McRg81ZaWxsRGZmJmJiYjBp0qSTOvkGe2IwGOG76fd54ba1gW/fTpK9cXEwFi2iZD9g0jRt2jTCJg/imga9qIuOhhFw4z6etQhNg2hoAAsPh5g2DaJbB8zpdCI9PR2ccyxcuHDICHQD4fIY551H5pzZ2fQg4Rxoa4OYMgXaPfcQoX3EiP4hWFZrrxLB0DRKhALW4HK5kJ6eDgBYsGBBEH9LTJ0KMXUq+NNPQ+TlARMmdJFVbTaw/HzwbdtgXHTRwDdhkEI/91zo8+ZBys4GAPBdu+i/AxJxERMDXl5OfhjeggYAJS4mEyVanINXVkIHwCoqYP7Tn8DT08G8ErtSWxv4tGmUVCckQMrMhNrY6C9y+woRHU28mEWLaM+EIL7J7t0wpk6Fdskl1In1yaxGRoKnpsJWWgpj5EhoQsBjsYC53WhMTET5FVdAnjsXUXFxiPTh8rOzIW3eTETx1FQSI/BC2uTPP4f8wQe0huHDCYa2fj2gaVBvvfWYED5WU0PGc+npdN6kpkK9/HJ/Yi7i4qhT394e1Clm7e0QCQkwRo4EP3KEku6mJlJlio+n1wpBBZDJBKbr1FFWFCKtNzdDOniQpJdzciB0vSuZ8YoDDMRfCQCpoR09SkIC3gaVERICjzep97nJG/PmYaju6mLkSGhLlkD54AN/wgxF6eLbWa1+Xyfp4EESXAicVkoSGXju2NHVwABN/iDLwZMSRSGY4ZEj9N0B03b9zDOJx+GTZBeC1BHDw6F3S96PFZYf/xjyRx/RtBAAU1VSqnM44Pr3v3tIxXo8HjQ2NqKpqQmHDh2CYRhB8sghx5LiPo7wk80Zg+d3v4N61VWQt2+HkGXoS5f2msyztja6X3afpnn9mphPLhuA/NZbgMsV9DnCa8Qqf/451Jtvpre+9hpYYyOMlJSue6bTCenAAeKheZsj0pYtxJMKXFdkJNDcDPnLL4OKFRETQw2qzs4gKKjkcECEhfllxvsMSYIxc+YpF0WQtmyh63D8eLp+AaCtDdKOHdAXLjxhVbyhNOju7OyE1WodlOZtbGwsYgeoPldZWYmlS5di1qxZeOmll4bk9/3PFCtDHZIkDYpcnBACRUVFKCoqwvjx4zF8+PCTPvFO58lKr2aVhYWQ77uP4Ds+GcuUFDjvugsHHQ6oqnpSk6a+gnMOVe2VwnhqQwiY1qzBnH/+E4qug4WHQ1+9GsZNN/mnEk1NTcjIyEB8fDwmTJgwpO7H/U5W6urIidxshva3v0H6z3/Av/qKlMCWL4dxyy00CRpAiBkzgPXradzvkzWtrwdMJnimTvUXK62trTh48CCio6P7LeRZfn6XZ4UvfElSRcWA1gQhwNeuhem992CqriZH7+9978RUaJxOSlzDw6EvWAAA4Hv39o4b13WC3ZjN1N32XSOcU6fZZKJkVggoTz1FMIWYGJpgWa1gLS0IycpC+/TplFx7PTWO1a4xJk4E37+fDEi9n4/OTuiLF0O74YYeJnKwWOD51a9gfuAB8KIimACYQI7Vlj/9CVHR0WhsbMSRI0eg6zpSc3OR8u67kDo7wcxmsK++grRuHTz33gtj1ChSrbLZ/LK2gnOgthbyu+9CKAr0Cy7ocszuHp2dMP3tbyRvGx8PYTaDHzoEU3k5PL/7HYxx4yBSUqDPnw95/XqC9oWFgbW1gbW2Qr3mGmgXXgj5iy/IANFup0ldbCwdO0mi/TcMkk7ujuX3+rDw3bvJod1uJ1hORwf0mTOhjx17jN0HnW9790Latw/CYiHVpFGjAEmC7i0C4XAcs+jsEc3NkHfsICn1yEjoCxce0zNFvflmyNu3dxlq+jyD7HaCovomnX3de3yyt4H/brP13pAwDL84QGCxop17LvihQ5C++gqsqor+PTwc6rXXHtc1yEpLIX/4IU1kAv9uGJDfeQfsj3/ssR8mkwnDhg3DsGHDIIRAe3s7mpqaUFNTg7y8PISEhPghY5GRkSfcUPRBTAPv4WL0aKjHKG6NMWPIZ6etLQgaybwQskD+Ei8q6qng5vWcCpSslg4coOMQeM/0ciV5Tk7QJLfXxoEk9fCwMqZMgT5lChm0JiQQJLelBZLDgfbVq09bA0OemUmiDoHXuc0GlJeDFxaeVLEyVJOVjo6OU76flZWVWLJkCUaOHInHHnsM9QFGnwl9yJOfSHxXrAxSDAbB3kcW7+jo8MNaBmttp1uxwhjrPQkWAtI//0nJ0pgxdKPQNOi5uWi6915Y/vAHzJo1a0gUXIbEwf5E1vH++5AffhihXi8T1tIC6dlnwerrof3+936PnXHjxmHEAA0vT2o9vU1WVBXsq68oSe7oAJdliORk6LffDv3uu/0k4eMJMWkSjMsuA//4Y+DIEUp2bDYYF18MdcoUGGVlqK6uxuHDhzF69GikpKT0X8gnJBAHJuhLBK2tLwiYroNlZRG/JjQUfM8eSC+9RFMuWYZ05Ahh8Z9+ustosKkJ0t69xDWIjCSH88Aus9sNafdu8MxMMJeLXjN7Nozp02FMmgTpwAEqSAK8MBAWBmPECHC3mz7X6xfCPB4qBMeMgX7GGWCVlZDS0ykJsFqBigpSkQoLg9TSAqW1FbylBfrkyQPyaBBxcdAuvhjyl18SfIMxiBEjoC1b1rNQ8YYxbx5czz8P6csv/TwTbelSSFFRiAMQFxcHIQQ6a2pg/dvfoLW3ozk6GpIsw2wyIbSiAvKLL0L9zW/A2tth+I5NZyd5TFRXEySrpAT6J5/Ac889finhwPNS2ruXOqFjxvghQkZEBPFFNmzwixZ4fvUrgHNIu3aBe/1N1MsuI2hHSAjU22+nxByA+Sc/gbxlC01jLBYIk4neExpK0wYhiCMTFgZt8WKIxEQis3/2GRV9HR2AywV51y7IV14JbfFiqLfe2ifsRf74Y8hvvQVWW0vndmUleHEx2Ny5UFpbYYwe3bdARR/BSkthevDBLhK2YUD++GN4fv7zfiWZjTlz4Hr0UeJFVFVR4RgVBWPECOjnnuvnOujz5tHEsqaGikyvMARrbYV2/vlBcBn9zDMhbdxIe+aFjLG6OgirFfoZZ3iXF+DmbjaTlPU550DKyYGQZRizZ9MxHkgTz+MBz8wkg8M+psNMCOK/9FO8McZgs9lgs9mQkpICTdPQ3NyMxsZGHD161G/Q54OMHU93uzdfmQGFzQb1hz+E6bHHaA8tFpIVB6D+8IdB54mRkkK8r8DweewETlvsdoKfdX+d9/v8f5o+HVi7lsQXfHA8VQU0rQdcDZzD87vfwfTww5AyM4G6OojwcNQtXQr1qqtwepYqAHwiMYF/CzCePdEYymLFZwh5KkUiNmzYgIKCAhQUFPTgyw4mmul/plgZahjYyRYEbW1tSE9PR1hYGBYsWDCoxL7TsVgB+lhXSQnBMBIT/R2NTrcbHRYLohsaEB8S0rc6yUnGaVGsuN3gr70GMAZHXBysERHUoW1qAlu3Dvlz5qDCZMLs2bNhDyQ8DmH0VlSyzEywXbsoORk+HMLjIb+N9ethXHPNid3MGYNx0UUwpk8HP3oUEIISzNRUoKYGTqcT2dnZmD59ev/jacOgYjcqiqYQRUUEQdN1kjCOj4fRGzG3vR3S44+D7dtHD2Gnk87FiAhScBPCr+5keuIJuF59FayqitzD8/MBxsB0HdL69dBuvNFP/pU2b4a0cycRlyMjwVpaIK9ZA40x6PPmgWdk0EPcS/SGrkNftAhGcjJMzz0HQ1XB6+upow7AGDcOrn//m4oXh4OShIgImrYkJYGXloJ1dgJuN0LKyiCmToV26aUDlpr1PaC5wwEjIQH6/PnHVK8TiYnQrr22789kDLayMlja2mCMHQuLLMPj8cDtdqPVagXfuxelBw9iFGOwNDWBh4VRoVJS4ocesY4OSPv3w/Tww3C98koPDgurrqZkIvDeyRhEeDjJMPvCbofnT38i49L6ehJH6N4BVBTwvXshzGYYCQngTU1kKOqTDDaZ/Gvzebn41LTE8OFQb7sN/KyzYP7FL/wqcUzXSZErP5/w/90Iwqy4GMqLLxJcZ9gw8hSRZbDqalh27UJnfDzB86xWmhR89RXx2JKSiCSvqnSeBiYMQkB59VXypBg3ju6dQhCf5IUX4J4ypV+ui37eeXAsWADpiy/A8/KA8HAYs2ZBnz/fX4SIESOgfv/7MP3rX8Q78x4vY/LkLglv3+ctWgTtqqsgf/ih/5iI8HBo113nL/57iK7IMow5c3omwceK5maYnniCrq2Wln5f2idnoo+QZdkPkwk06GtsbERRUREURfFPXex2e7/iL4HqZ8cb6q23QthsUF55BbyqCkZKCrQbboB63XVBr9Ouvhry7t0EofNyVlhjI/HPAiS1tdWrYXrsMYi2Nrq+vDBQERkJbenSrteddx7kzz8HT0/vEotxOmFMmAB11aoe6xTDhsH9j3+A5+YSFy45GSU1NUg+jeWH9TlzCLbY0eEXO2A1NYDNBr0vBbOBfO4QFisOh+OUT1ZuuummY3JbBiP+Z4qVoY6T4axUVFQgJycHo0aNwqhRowa9Kj5di5XeigPmdlOCqSgQQqClpQUutxtRcXGw1NVB8/pUDNV6jrlPLS3U+Y6NPS7DyQFHTQ11yex28oDwFtiGLEPPz4d1zRos/vGPYToFBENf+CcrHR3g69aBbd8Olp0NkZDQlRiZTBCpqWClpUBZGXCM5LbPYAxISSHMtDc0TUNJSQlUVcWiRYuClE56hNMJ/sYbYHv3EqfAYqEJQWsrEBZG05/bbgN6kW7k778PvnUrfXd4OFhuLuB20+f4VJQYg4iIgHT4MFhjI2HgDxwAc7upI8k5pNpa4JVXoE+ZAqaqkA4fpsmHT30qLAwoL4e0fz8ldLfdBmPPHoIeKQqM6dMJj68o8FgskD/7DEZJCcmDLl1Kcry+yUFyMsnv1tZCjBhBvAuzGayoCIaioP6ss5AQkEjTAgT4kSN0rMLCoM+a5Z+C8T17oLz6KkFLwsIgVVeDFxZCveGGARsjsrIyyJs3+6FQ+uLFpKAT+P2MwWI2w2I2U1EqywiNi0PV+PGwr10LXl6OuLIyCMbIcNNspiS9vR3SoUOQMjN7KEGJyMiuyVkgqd7phNHLVEgkJ0P0JeGp65D27gXsdmjXXus3mhSSBMYY9IkTwWtrifC7dCmZn3YL+YMP6FpOS6PzBgBsNlJH2rQJWoC6E6ushOXnPwc/eLBLCc9iAeLjIUJCwB0O1C1ZgshFi8D37YPp4YfB6+qoiKuoIN+U0FAgLAzasmVw//GPQGQkWEMDTT+HDetq8jAGIzkZvKwMPCeHRD/6C5sN+pVXor87o/a978GYOJF8NNrbYYwfT34f3e9TnEO97Tboy5ZRossY9Jkz/XsE9FKsnGAo778Pae9egtGNHg2jtJQksANeIySJJHe7iXccTwQa9CUnJ0PXdbS0tKCpqQnFxcXIzs6GzWbzT13Cw8ODfp/vGXhCUF7GoF1zDTSv3xNMpl4nTvqyZXDfcw9MzzxDxoycwxg3Du4//SmoUFevvto/iWTNzQBo2uK+555gY1ObDa7HHoPyzjuQNm0CDAP60qUkId7X5I+xIOieUVU1pPDlkw198WKS7969myaFQkBEREC9+GISbDnRz/2WwcBOVXxXrAxSnEhBoOs6jhw5gvr6+gG70Z9IcM7h8XiG5LNPJnorDkRKCjlKV1Sg3mYDAxAXGwupooLIsSeaBA8g+hUiaG8Hf/dd8N27Ca8bHQ3jvPNgnHfeyZujBYbNRsmKj/8kBIyKCmgVFZDdboysqAD+9S+IZctgXHjh4H53H8EYg3A4ID3yCPnGmExAXR2ZyTU3w7j0Ukp2TSaSV3a7B62gdLS2Iv/ddxGuaRApKf0XKgD4li3gW7ZAjBxJKjkTJgA5ORCSBOPmmyHmzOldNtrtpvdFRXV17H28BF/B4nsIGAb5ijidkLZtg1ReTmTukBDqWNbUQGptpSQxIYE6c92UcERkJHhLC/2b3Q79nHO68OABoS9ZAv3MM4mc2ttUMSQE2ve+B+Xxx8ELCwmO09EBREej6corUT5/PuIDC5XOTpj+8Q+SJ3Y6yVxtxAh47rgDxpgxkNesIeUvb+dQAGB5eVBeegkqY/T3fo4BKyyE6bHH6NzwTjT4/v1gpaXQVq+GMWwYWGUlPewZIyx8bS3E7NlImjsXmDEDLCkJ/PnnwXQdBufQZRmGooAbBrjJBN7RQcWn7zu9yZkxZw7EsGHg+flUcMoydUJlGfqSJX2uOfjACLCKCvCjRymRT0oisvjIkf5zmuXkwJgzB9oxpJj5oUM9OVMmE/1mHyTL+52mJ54ghTiLhVSYDIPM8BwO6BMmwMMY2iZOBDQNpuefB29shDF2LHhWFnEUDIPOQc4hf/opoGlwP/UU8UMMgyBcgeE1GuyhtHWiwRiMGTP6Vhjr/tqxY8k7pZcYlGLF68UiYmL8kyNtxQo6vwOmLMb48XC9+urJfVe3kCQJ0dHR/ue5y+XyT13Ky8vBGAsi6vvipBJ3xnpyUrqF5uVk8SNHSA1u8uSe9xOzGe4HHwS/6ipIhw6RjPpZZ/UOAY2Ohnr77QSbPIE4poP91x0WCxXWCxfStako0CdNIojvSZyfQ60G9l2x8g2PocbwHW+x0tnZiYyMDEiSdFxu9Kdibacqei0OLBa0rF4N8eijCG9vR0hcHFhhIWCxQL/22uM2ljue6BMGJgT4iy+Cf/UV3bRjYsgU7uWXSW3p3HMHbxF2O4yzzwZ/5x3IZjM8DQ1g5eUw6Tp4aiqMs84iD4oNG8DS0gZMXj+Z4Jwj5OBBsD17yNwxJIRu1o2NYGVlNGWZOxdoawOzWmEMEjytfcMG4Pe/x7SGBkgAHCEh5NnRlwO9YYDt3EnJng9iI8sQEybQlCQkpG9/G7ebID4BD3yRmEgJgNe9G4BfZUdbuRKw2cDKygi2Exvb1Rk2mfwdbT0trVclHNbRQcXNQBSFOO9XtldbtQoiLIygNSUlMCZMgLZ6NTpmzeohJKC8+y7kjRthDBtGUwVNAysqgunvf4f7jjsIVjRsGL3Y4yFFspwc8I4O8Lw8iJQUqFdfDX358l7XIn/6KVhlJRU1nFOxU1cH+YsvoJ9xBtRbboHJCwfx+UIYSUnEF2GMCt6rrqIJ69GjxCcwmcDdbiIiaxo0SUKRyYTwpqag61XExsLzox9Bee45gmgJAREdDfWKK/yCBv2GpkF+6y3IW7YAra3gpaXgWVnQly/v8qjp6KCCoj+Ph9ZWPzGdeacvPn8Jv8FfwMSBVVSAp6fDGD4cvLyczC+tViL/NzaCV1bCtXo1Qc/y88HKyqiI8nhIuliWAUkiSWWzGYIxyFu2wFNYCJGaCpGWBp6RASMiwn+Osupq8nwaCOn/FEd3sjmamyFv20Yy5BER0BYu7GGI2yPcbpo0BCbwYWHQrrwS0u7d0M46C/rKldB9qndDGBaLBYmJiUhMTIRhGGhra0NTU5MfUWH1FlMtLS2IiIgY2gQ+PPzYE9LjKTxPIk77YgWgSfcgK5ENtRrYsRp639T4nylWhjqOh2BfW1uLQ4cOISkpaVCdxvtb29fOxegluhdRQggUFxejMDIS03//e0Tu3QuUlMCYNg3GBRdALFo0pOvps1gpKiJzsuRkP6xBhIX5ORr6kiXH5mj4+FIDeDDqP/0pUFcHZeNG8KoqMttLTqYpjiQB0dGUCOXknJJihTEGU34+mGFQgg34TR/R0gJ29CjBwdraYMyd26XkdRJRuW8fon75S4R2dkJKSIAmBOTaWkgPPkhKT70ViJpGU6/uHUYvTh9e8mmvER4OkZYGtn8/EVMZIw+B8eOpe93SAt7aSvCJ1FQiadtsYLredWx9oapdyWNCAnXA09NhJCeTEk5zM1hrK/TzzguGEnpdwo+b78MY9GXLoC9bRkWVr2tXVxf8Oo8H0oYNxLnwJc+K4ofv8dxceq+ugxcUQNq1C6yujjrwskzramqC8vzzlOh2T2ZcLkiHDxNEMlDZKDYWPCcHPD8f+tlnw52U1FO6uBtnQD/nHBiJicS/8Xjo+72TAM/w4XBFRqIiJwcejweSJKGirAyJO3fC8vHHYLW1AOfQFy2C+qMfEQRqACFt2QL5s88gYmPJfNJmI3PDDRugrl5NTYuqKhJQ6EPYgjU2wvTQQyQx7HaDdXQQ72nECILrVVUB3fD/rLMTTFVhRET44VmsrY2mPC4XjJEj0XH22WBOJ+2Bt+DxF9G+88V3HoaEAPX14BUV0NPSoF5zDUwVFQTLs1pJ/aytDSI2FuYHHoB23nk01TuViaNXZQ6K0uN6DSTYs8pKmO6/H1J+PkECDQPyp5/Cc9tt0PtrEkVGwkhNJeNMu72rSPMalKo//vFx81QGIzjniIyMRGRkJEaNGgWPx4Pq6moUFhYiOzsbuq7Dbrf7IWODKY98usWA4VCdnZCysgCvkWcPftk3LL5tnJVTFd8VK4MUA5leGIaB/Px8lJWVYfLkyRg2wIfoqVjb1xGBxYGmaTh06BBaW1v9Smj66tVf23oCg9XV0YPV6wXhCxEZSfjftra+cbpNTeBffgm2dy91emfPhrFsGSX7fYQ7JAQZ3/sejHHjMDMrC6b6eiKEB47svS7UpyI45zBMpmCBiogIiJQUgqpIEhAaCjF/PsTMmcEFmcdDkzHDoPH5MR6+hmEgf/duhD3xBMKbm8GSkiih1zS4o6IQ0toK6Z13oC1bBjQ307TCl/CbTBCjRxNULVDetrmZ1Jv6k2plDMYll0DKz6ciMCqKkkOLBZrX0FCvqwPGj4e2erVfaceYMAFSfT0ll95E3+cxIYYNI0z5OedABohQXFNDPJFFi/yO7qyhAdKmTYThB2DMmAF92bIBqXf1CEkCXC7wQ4dgLSlBmMcDTJtGSaHLRdCv7sfA60oOs5nkg7dvh3T0KJ3z3s8UABUbZ5xBMLcvv+xZrHBO56jTGfx3r+qQL6k2xo0jsnc/IRIToV55JUxPP01TFu++GklJYPPnY6KuQ1u4EKWlpaiqqgLeeAN44w04JQksMhImlwvy2rWEMf/1r3t+QUsLFWNNTWSEOW8epK1b6RzyGRsmJ8MQAnzfPigff0wO1mPHQp8ypc/EXlqzhsz4xo6lQjAsjCBlxcUwvOp+nl/+MkgtzhgxAiI2lpTUkpNhWK3EF2hqImLyvfdCN5mAykqSq01MJChdQoJfypoJQRwXs5k4dRYLTV9Ayk3uP/8Z8saNZCRZVETntqpCLi+HvGkT1Ouvh+fXv+7ZTOnogPzVV+AZGcRLWLyYVLt6K6gbGyHt309qddOm9VkM8AMHoLz1FhXHZjO0ZcugXnNNVyMoAAYmv/kmpNxc6AHiAKysDMpLLxHXqi9VP86hXXwxeHExmfpFRgIOB5iuQ73kklNbqDQ3E8ettZU4XJMn+5sFJpMJ0dHRKC0txaJFi9DR0YGmpibU1dUhPz8fFosliKg/VEnuCUdrq18Fsd/7q65D2rePziPOSQ1xABMGvm8f8WwqK+keYLdDvegiEvM43acyfcRQc1a+m6x8F/3GsQj2brcbGRkZfo+QU3lCna7Fim9dHR0dSE9Ph8ViwcKFCwdVCe14os/JSmRk71Ce9nb6t76OZXs7pOeeAzt0iLgQAPiHH4Ll5kL/2c96deFtbW1Feno67HY7GidMgDZ2LPDee9R19xUrLldX8n8KgjGGzgkTgL17yfckJsZvGCji46HffjvEOef0wD+zjAzwV14hqBRIEca45po+J2QejwcFb7yB2M8+w7CcHHCHA6iqokmAtzgQZjPYwYOQf/QjoKoKCA2FsWIFKZCFhEAsWwaRlwd2+DAVFC4XmMMB4+yzgWOQIsXMmdDvuQd8zRqw3Fzqrp97Ln2+LMPtdvd4yGiXX07wqEBXbbcbIjGRICYAQVcuvZQ6/jU1kLdsgfLaa1BeegnGuHFg7e2UqHqTZHnNGvD8fHh++tPjdmpmlZVQnn0WPDcXNpcLKR4PTAUFUH/yEzISTEmBlJnZJQ8MAF5vFjFqFLRJkyBv2kTntvcYw2wmTpLDQWpqkZHgXs+LoDCZoC1cCOXdd+l8t1gouSwthYiLoyRtoNHWRu9ZsoQ+w6tMZkyeTFPF0lKw+fNhsVgQIgTG7NkDREbCHRsLj8cDh8cDWVWhvPceas86CxETJ/q71PzQIZLyrajwe4HokyeTmpZPnUgI4sV0dBAHCHTuSTk5MP/1r/DceWdPdSohSPUtMrJLAGHKFBgjR0LKzIR24YV0TLsn2FYr1O99D6YnngArKqLzXdP80rQYMQKiupoSeIuFlLf+/nfwsjKa8DY0UGEUGQm0txNMcfnyIBNKn2+H6fe/B9M0cpD3FqGsqQnyW29Bu+CCIAI0q6iA+c47Ie3fT+pyhgHxwgvQly4lYnZqqv+10uefw/TPf4J5PRZERAS0730P6k03BRVAPDMT5j//mYrE6GigowPKa6+BFxXB/de/+oVVGGNARwd5c8TGBokDiOHDafKXldUvF8mYOROe3/4W0hdfQMrNhUhKgrpsGfSzz+731BuU0DRIX33lNxYUISH+poqUkgL1+uv94g4+OBRjDOHh4QgPDUVqbS1EQwNaIyNRHRmJvLw8uN1uREZG+ouX0NBQsgAoL4e8eTPgdEKfOZNU1XpJ5FlJCeRPPiEn+ORkqKtW9TQqFQLSF19AeecdghuOHg3tyitpahtYyOo6lJdfhvzee9SwMpmgz58Pzx139GyyqCpMjz4Kad06mpIKAfmtt5AyZQq4T/69l2C1tTD94x9kUjlyJHHQ6uqgvP46RFISrekbGLquD5mBc2dnZxAP6tsU/zPFyqngrBiG0SsOs6mpCZmZmYiKihoyj5Bjre10LFY452hpacHRo0eRnJyMMWPGfK0Y1r7UwMTYsRCTJoHt20dO21Yr0NgItLfDuOSSPomNbP9+4nNMmODvRIqEBLCcHPqsbjCGqqoqZGdn+z1Etm7dCve4cTCmTQNPT/cTvFlnJ4yZM3s42g9KlJVR4jxihH/6wxiDY/x4GJdc0uWBAhB2f+VKiLPP7knUrKiA9NRTQGMj7ZlXtUh67jnoMTHkaB8QHR0dyPrqK0xYtw7RZjMwejRQW0twqtZWcEWhh1VrKxWN+fmUELe1QXrhBbCaGuj33AMxZgz0H/8Y/KuvwPLyiLy+YAHEmWcOCIInpk2DPm0adfG86l8AiA/Ty/u1FSvAioogr11LHW0hiLD+s5918RxoEyEiI4ncvm8fJZayTP4P7e1QL7qI4FPwwqaOHoV04ACM5GTI69eD5+ZCREVBP+ss6GedFeRd4Q/DgPLyy2SKOGYMVF2Hq64O9vR0iDfegPqzn1FxVVBABVZ0NOB0gnV0QFu+nBJVxmCMHk0EecbAGxspefYaIrKODiKa9lH4aRdeCF5YCCkrC8IwqOMfHQ31xhv77oIHhqpCXrOGkrz8fLD6ejJUPOOMruvM4+kqKgCY6+spobHbYTKbYZJlMF2HHh4O0dCAzqws5LS1ISQkBDHh4Rjz4IOUiI0aRb+psBDyxx9T8h4VBX3qVMh799JEVdMIZpeURNMgIcALCqC89BLcM2YMTEY9PJwKxenT+9wD7eKLIUJDoXzwAVh5OYyxY6FdfHGQrKwv9LPOgjsuDtKGDTQ5OHKEuC5eLx5t5Uq4//znXr5EI88Y3/H0hrDbwcvKIO3ZE1SsmP75T5qUqCpxdGSZrrevvoLpySfhfvBBwGIBz8uD6e9/B9xuGKmpdK3X10P5z39gjBpF56s35A8+oGM1dmwXxysiAtL+/ZD276dr1Ves6DqdP92fCb4iegDQZmPKFBhTpkD1QedORTQ2IuSGGyClp9P02zCoIL3sMvJOOnoU8qefEjHdKwvvh73V1MD84x9DyswE83hgNZkQN2MGXE8/DYfNFiSPLMsyxu7bh+T//Aeyw+GfXmrLl8P96KNBEt58zx5Y7riDiknv/snvvAP3Qw8FHR/lv/+F8sQTdN5brZB374aUng7PXXdBu+wy/+vkt96C8vzz9AyIiSEvoXXrgNZWuJ9+Ouj8kjZuhLx2LYzoaOITguCSSdu2gR08CJx5Zq/bKO3aRRy6ceP8xZdISADLz4e0ceM3ulgZap+Vb2P8zxQrQx2Bjuy+hFsIgZKSEhQUFGDcuHFITk4+pWY9gWs73YoVnzZ9Y2Mjpk6dOqhOpycavZofAuQefcstkGQZ7PBh6uhHRMC49FIY55/f5+exkhK6aQdCJmQZMJvJB8RbrBiGgby8PFRWVgZ5iHDOYZjNMG64gUjiWVn0+qlTidA+mHjmhgZI998Pvm0bkVPDwmBcdhn0X/3KX8QZN90EMXcuWGYmdVknTaKCqZcCk+/aBdTUQEye3JWUpKWBHT4Mtn17ULFSV1eHrKwsTGxrQ6yuQ4wZA+FyQWRlEbxKlsGam2FmjBLV+PguVTi7HcJqBd+yBcYVVxDxNi2NOseB/I3jjYG+T5apCLjgAkhHj0KYTNBnz/bLFAd95J49ZOA4apS/yyqamwkGVlAA3deRlGXqXP797wTH8nhICS8mBlJGBtSKCmg33NDj81lJCXVxR4zwCwMYZjOM8HBIGRnQ6uuhL1wIzz33QH7vPfDiYgi7HeqVV0K74oqu45SUROeA1QrBOfl9hIRQAuPxUELfTbmM1dWRKWR9PYyJE6HPn09QprAwkqY9hlu6fzvXroX83nsQkZEw0tLA29og7dsHpmnQFy0i2KXJFHT+aGFhNHFzucg8sqyMJKy9HMJxbjdGLl6M5pYWuLZsgZaXh7qoKMjt7YgoKIDJx8sBwBwOUuryeoX4eCBSdjZEdDREUhJxacrKwIqLg4nejMFYsADym28SDNF73bP6egibrf/JEmPQly8nHoZvihrwrOiukGVMmBAkt8vKy8HLy0k4IWDi0f07An9Tr//ui8ZGSDt30r4oSlfiGx5OyogZGQR3mzuX+EctLUFGjSI+HqywENK6dV3JsBCQDh+mQj3wu6xWv9ADFizoavjZbOR8/uWX1Jjw3mdYTQ0JkRwPX+8UPnfNDzwA6eBBEtrwQSCdTsgffADPz35GvKTCQhJfSEjo+r1CwHzHHZD274cID6fE3u2GtHcvLHfdBbzyCqxWK4YPHw7DMNBx4ABi/vUvGG432sLDIXEOk7fYl6dOhfaDH9CCdB3mBx/0G7bC+12sshKmBx+Ec8ECOr4tLZBffpmKdi9MTsA7rX3xRRIVsVoBjwfK++/TFMz33LZYYCgKpMxMEnMIkMOWtm2j8yjA5Nqw28FLSqDs2UNqh70Ea22lvev2fBFWKzUSvqExlGpgDofju2Llu+g/AosVRVGgqioOHz6M1tZWzJkzB5Gn0BejewzIP+QUhsfjQWZmJtxuN5KTk0+LQgU4RlEXFwf9t78FiotJySkhAejD0dsfVmuXilRgqKpf3SlwL+bPnx9EjvPD0sLCIJYuhQgg5Q5qCAH57rtJ7cxuJ8hVWxv4iy+Si+/KlbQOxqhAGUiS0NDQI+HykdZZdbX3a72CCoWFmDx5MhJ9nVIvB8ZYsQJ861Zy89Z1uBMSaHzejTuEyEjigpSUAIHJ46nCdzMGkZYG7Riy2rykhM6HQFK9yQQhScFkeKcTfP9+8NZWCN+e1dVR53riRFLWWrKkB8mbOZ3UyfV9vm/vLRbiVXk5KPqCBWTq51W2CiqmW1pojbJM53lEBIkotLWRjOns2eQLE9CB5+npMN9/v/+4AuSY7b7vvr5Vm5xO+ky7vSsR7uyEtHUrmXB6p1LGlCngmZl+yXBj/HjyNQn4XC0qCvrixVA++sg/3YKiUGEVFgZ582aYZs9G7OzZkOLiYLZYYI6Lg1ZXB6m2FirnYIoCLgRESAikhoauJMkLE4MQkI4cgZaU1HeyD+9k6dAhkof1qp3BYoF62WV9FxFBB5H1ygc5lpyvSE6G3pdnDAA4nVQojxhBkr5eE1GAutwiLAxagGKa3+8KCL6OOCefEl0nqCBAUsC+QihwTSYTeEND0G8TdjtYcXHw2nz3SK/Cmv+3Mka+HwUF1AgICfGf3+o11wTz0k6X6OiA/MknpNAmywTZ5dxv4Mpzc6lZoev+3+1TP+P5+ZD27qUJuu8atlggdJ2kxgsL/U0azjmid++GoqoQiYmQhYCm61AlCaKjA50vvYT8efMQFRWFuNpaakxER3cl/oxBxMSAV1aCZ2bCmDPHb9jYfV9FVBRYXR14URHBMFtbCcbXPSkODQVqasicMqBYYS5Xj3ux8K6BqWqfW2kMH07nlNvdNVUVAqytrXdT329IDLUa2HcE+294DPVEg3PuLwra29uRnp4Oq9X6tXIwfPG1qoG1tYF//jnY7t2ALKNz1izsi4lBaHQ04uLiTivC4DEd7BkDRo0asIeImDYNYtMmmsT4xBRqayEsFohp09De3o6DBw/CZrNhxowZPeCBvTnHD0WwQ4fA9u4lrLHvARQbS14q774LacmSvn9zfb1ffUkkJnZxLIYNo2Qn0KBPCMDppMRK13H48GE0Nzf7BRXQ2koP6dZW6sLFx8O47DKw3bvhnjEDe+bMwblvvEEE7sDi3+2mxCugc9cj2tpoPQHKQIMWHg8l1GVlJLE9bVqvkwS/T0sAJEVERYF7IS/+Lv7+/VQomM30kDaZqGhsayMYFmPgBQXQuxUrRlISJYP19cGd0fp6UrgKFPRgrFc5ZJ6XB+ZywXPddZA3bSLjQbsdhiRB/d73oN55ZzD0SVUJV15dTUmYJAGaBl5UBNPTT8P9+OPB++1yQXnrLcKvd3RAxMQQ3GnVKjBvUWT4xCo0Dbyqin53Swt4fj5NXEaP7nEMPT/9KaT0dEh79pAPkGFAxMZCnzcPvKoK0tatMGbPhjF2LERkJJTmZpicTnDGwL2+RrrJBF3T4LsjGSEh4F5+GOBNyoUgueCYGEosCwqIm+RLtGNi4P7DH0hqNycHCA2FPncu8QgGeN6xhgYyCHW7YYwa5U9QT/QZxsrKiOOSn0/Js6ZBOnKEoF2SBGGxQL3llqDCUiQkwEhLIw8hHxcLoOtXliGiovznk+HznQjk1RkGmMsFrVtjQ1uxAqYnn4RobqZrWNeJexMf75eXDizMxJgxcP/lLyQOcPQoRHQ0tDPPJNXB0zCYw0EqgJJE14LPz8YLKWVOJ3h1Nfn2eJtdPhgYq62lRlZ3V3ezmZ6jdXUkhe77rrY2738wMMagcA5FUcCsVth0HaGhoaiqqkJ1VhbmulzEudI0yLJMBWd3OJ3F4r9+AyFk0DT/eQIAwmaDiIigIjfwnutwACZTDwNWffZsSLt2dZlWAhBOJ3lV9QNl1hcsIKPRrCziLSkKNW1iYqD1g2g43WOoYWDh/cjcf5Pjf6ZYORUhSRKqq6tRXFyM1NRUpKWlfS2wr97W9bVMVlpbId1zD/j+/YCiQHW7IdauxfSzzkLY3/+Oo8XFp5Wksq9YGSwHZTF+PMSll4KtWQOWnU1/i4iAuPhiVMfE4NDu3Rg1ahRGjRrV6/f1CUsb5GAVFaQS1X1SFBoKtLVBaWqC0X0yKATYnj2kcubrsNrtEGeeCTF5MowFC8C/+IKUtbwdMlZZCcTHwzlvHg7u3QvGGBYsWOAnG4qxY2EsWgS+cSMpIZlM5Ao/fjw8118PtbISxrnnQnr1VeqyemESrKQEYuJEiOnTaW2NjeA7dpCwgccDVl9PDzkh6DuuvvrYfB+v/PAxFWfa26E8/zykAwf8nWgpKgratdf2gDfo8+ZBfucd8kIZMYI+W1UhYmLIYyMnh/axqYnMHQ2jq+vMOXW16+up89kbTyoyEvrKlZDfeIMgOCYTrNXV9HC/8MLgiU4fwZqaSOGnsZEKiYQESqxCQylp7lZQ8+xs8NJS6oL6HsCyDCM2lnD3OTkQXoNJAFCeew7Khx8SzCU0FKyqCqYnnwR0nUjhYWE0cQkLI7nj3FwIRSGp5LQ04kc8/jjcDz1EHjq+6yM6GuollwAtLVR0h4TQ+SxJEM3NVHSBknDt4ouhvPYaqcnpOnV+ZRk8ISHIcNIAYMgyJI+HZLs5Bz98GKypCby2ljxoGIORlAT3n/9MBYn3OGirVgGrVtGeNjZC2r0bIiSkdyO+gJDWr4f83/8SoV2WSYXujDMgAvH5QoDv3UtCCHV1MMaNg3beeb0LbhgGlOefJ4PLtDRSfBs5kmBKEREkeb18OU3agg4sh3rLLcSHqayE8HjoGhYCRnw89EWL/NM17ZxzIH/0EfGgvHAt1thIe+3dA19oq1eDFxdD2rjRz58whg2D+utfd6mwdbv/iuHDod50E1htLXX/29rAs7OJy3C8Mt9DHCImxg/zEmYzwRN9E0+ffHpoKLQVK7rU8bwwMMPrycScTuIVeYM5HASz6nZ8jSlTep08wOUCVqxAamoqUlNToU6YAPb665DKyuAANTBkSYKluRlISIA+eTIYAGPyZBijR0PKziaZdVkm5/b6ehjz5nVBb81maJdeCuWpp+h+FBlJQia1teRJEjBVAQBt5UrIX35JJrkhITSldDrRMn48ovtDC1it8Pzud5Bfew3Snj0k4z1zJtSrr/ab1n4TY6iLle8mK99Fv6HrOgzDQElJSRDv4HQI32RlsJLwgQb//HPw/fthpKSg3e2G0+mE3WSCLSMD2vbt4MnJA/amORURyDUarH0yVqwApk4lU0IAxujRyHc6UZadjWnTpiGuHyhZ0KSnrAwsN5cM4xITiQsyGJyVkhJg504ydCwspATPZ3jncBAELSYGovu4vqgIbPt26s4nJVF3rqYG7MsvKVmMj4f+61+Dv/YaWH4+FQoTJqBt1Srsra5GTEwMJk2aFDwO5xzGjTcCI0eCbdtGQgJz5sA4+2yIhASIigoY119PScuOHX4CvpgwAfpdd1HXrqkJ0vPPA3l5gNVK8ImGBjI6TEsD37MHrKgI+v33Q/RmiFdYCOmTT8B27yYcfloajCuuAPqAHcgbNxIxedQo6oh61a/kt96CMX58UAEokpOh3n47lH/9i2SMDQMID4d6440ks1pSAsCbsH76KRVrVVX0uzinbrXTCWPYMJLP7RasooI6zytXEjm9qgqdI0ci7KabBmaKCFASvn8/JT9WKyXyTU0wEhOh9abi5vEEc4OEICPDsjKgvR2m++6Dcd55UC+9FNKePTD9+990XtntQHIyQdkqKiB/+CG0lSuhL14M+f33/UR2wRhNSeLjaTrkkwI+dKiHdLJITARsNlJZCvAeYR0d0AMgWOrNN0MkJEB6803whgYqhrzvBedAZSXAGGQQlAm6DgGgfsoU6JKEqKoqGMOGQYqIgGQY4BUVMP/pT3C+9VawMqBX8EB++22aysgyjLQ0eO6+u2ey1dkJ0+OPQ3nlFYKv2WwkU2yzQdqwAaHh4WjyFgfy++9D+c9/KCk1m2mitGULPL//PRVDgedEURH40aOUfPoS2ogIGNOmAS4XTVQChSACQj/jDLieew6mJ58koj1j0EaOhHbFFUS29l27UVFwP/QQlP/8hzroug79zDOhfv/7PQsokwmeO+8EX72aihsvtDBwUtrb/Zfv3w/544+pmGaMeITTp0O76qqek4ivMziH59e/huWXv6Si22QifxjGYKSlkbLW3LnB0tXeYkUkJkK75BJqNhgGFTpuN6CqUK++ugc8S1u+HIpXfAVmM4QkgXV2QkRFQf3+9/2vU0JDIe6+G/L//R8iWlthyDKE2w3VYsHh5cvRnJnpVxiLueceWP/v/8C8ZrJMCBhpaXDffXfQZFD93vfI/PSTT/z3KH3RInjuuadnMW63w/3QQ5A/+QTS9u0A5+iYPx+5SUlYeIxjJ+Ljod5xB9TWVppY+TywvsExVMWKEOI7gv23IYYySXc4HMjIyIAQAhMnTjytChUgmE9zKpXI2O7dMGQZTR0dEEIgJiaG1lJbC56RASklBZ5T5BXS6/qyssC2biU355QUSN6EdNCddRMTyTdCVZGZmQmHw4H58+cf86biK1bY7t3gH30ENDeDeeEExsSJMK6/vn/o0zGCHT0K6c9/piTXbAZrbKQH7LBhXQTt66+HCA+HEYg9B8AKCsA0zd8NBedAYiIpnZWWUnI5diz0P/2Jkj/DQBXnyD56FGPGjMHIkSN7vyYtFirwzjvP+0VelRynkxzMrVbo994L4+hRktGNiCBvFy+8gO/eDZaXBzFxImHjXS7ypXC5CHYwYQJw5Aj42rXQuxcrxcWQ//pX4PBhsKoqMJeLVIo+/xzs0kvh+d3vgqFTPqlam60rYWIMYsQImgpkZ0MPLEYdDhiTJsH98MPUIfZ4oI8bRx1LxqB7YTVCliFv2kQQLpvND2Fjug595Eh4fvjDroISANxuKM88A3njRrD2dgizGcbkyWj++c9R4HIhZoCFClQV7OhRSjZCQqi7a7OBlZWBqyoMmy0IwgaQZ4qIiQGrq4MYPtwPYWKdncRZqK8H/+AD8L17Ie3YQUaQZjNJH9fWQp8wASIujs69ujpSv1JV6rz7kr3EROo6e/k78Hgo+e8W+ty5pGSWmwsxbBiEJIHX1EDExpIvjy8kCdqFF0K78EIYL7wA5ZlniMzrJfTqc+YQgb65meSozWZ4br0VIXfeCcuqVdAjI+FWFKhtbeCcwxQVhZCyMrBt2yBWrvR/jfzZZ1D+/W86HsnJBBc8cgSme++F68UXg65d05NPQnnrLZK9ttuJWJ2ZCR0ArFaE7N8PNmECWH095DffpCLde/4KwwDLy4P8+uvw/PWvQceHORxgHg9BCgNCWCzgbW1UOPYTxuzZcL36Kk2gmpsJCtTLfUuMGAHPn/5E56quU/HR1zOXsX69dno42Dc2Ql6zhkwBJ06EzxBT2r8fYuTI004VSrvsMrgkCabHHyeuSGQkPNdcA88dd9C0ulsEFmfuP/4RwmqF8u67NFGxWqFefTW9t3tYLHA+/zxMzzwDec0aMLcb+jnnwHP77T2KVv3cc+GKiyNhjcJCmpZedhnGzpiB5uZmNDU1oaCgAIddLkT/5jdIzslBRGcnlLQ02t/uzxlFgfrzn0O75hoSmrDbSQa5j2MuoqOh3nwz1JtvBgB0trbCOHRo4JsaETFg+PXpHkNJsP9usvJd9Bl1dXU4dOiQ3+DxdOJg+OLrKlbcmgatvR1STAwibLbg5FSSvlbiP9u0CdILLxCEKTQULCMD5u3bETFnDpk2nsxn5+eDv/kmyTLa7TBWrULbsmU4mJWF0NBQLFiwAMoA4AuMMTKV/Owz6sJPmUI3bLcbLCsLfNs2GBdeeGKLFAL89dfBqqoIppOWBuzfD1ZdTYZzI0bAuO466D/5CXh9fQ84GnM4IHr7DZwTLCHg/4vhw5GXl4fy8vKBTx27PfT8GHYhwDiHmDCBCo/uceQIJdmyTGRxIQj+5HAQwTw6mgqOo0d7Ln39epoYeQszERtL04y2Nkhr10IZNw6692Hr20Ooas9Oom/tvkJc0yDt3UuGaB0dgNUKY+pUaGedFYwN94YxezbUm2+G/N//0nQlNBRCkqAtXgzPH/7Qw5Fdef11KO+/DxEVRdKxTiekPXsQ2dEB3HRTz62trIS8bh3BMiIi/HLIrLYWrKUF+syZ4LW1hIn3eMBcLrD6elj+/Gfo06ZBu/JKGF5DS0REQL3+ejJvzM8HKyykaQwAZhiQ0tMh4uPBvTBIH6FfSBIJCeTnwzCbiUhssxHE5KqroC1ZAnbnnQRzCiDzo62NDEh7M/WLiIDn17+G/NZbkLKywHSdZGt9KnG9hPrDH0KfOxfyxo1AZycdlzPPpOlQRgYY59DnzYNISgJraoLk8YCHhkIJD4cQAqqmQfV44HG7kbtvH5yJiYi2WhFfXIyQxx8nI8AxY+gckWUYI0eCl5ZC3r7dL0vMysogbdkCIywM3O2mqZCiQHR0kBHnjBngXqglP3KEYIKB/hicQ8TFQcrJIfhVgOGsMXIkEaQDeEwA8ZiMuLiBmyNKUtDn9hmBRfQJRqCUL0BmqqyhwS+tDYCU6sLDIR04cOxixemk6z8y8pSJbmgXXwztoovoeg8J6Rf6F9Qcs1jg+cMf4PnFL0gtLD6+/z2NjqbX/9//UZHYDz/WmDYNnm7wVwlATEwMYrzH1ul0orGxEeVRUchqboYkSYiqrESU04moqKge/FsRG3tC5rWD3hD8BsVQE+y/46x8F0EhhEB+fj5KS0sxadIkJCYmYu/evaeV6pYvmHcMfarWJoRAWVkZ2mJjMVlREBaoCtXSQrjpOXO+PuJ/Rwekd98leImvAyUE2NGjSNq2DcbNN/d70+8vWHY25J/+lNSpLBagoADYsweN8+dj2N13Y/SYMQOe8nHOIZeUkORkYGJuNgPR0VQMrVx5Yg/g1lYyToyLowIjJARi8WKIlhaw/Hxod90FceWV9Jt6IfqL5GTwI0cgAiFAHg/BdgIeXpqmITMzE52dnQOaJvUVgRC9fiMkhOACgN+U0K/e5JM+7Y2fAxIagKbRv/s6wz6SLGNQvvgCeqDJHecwpk6F9NlnXW7iAEn2hobSNABeyeJNm8jlOS4OrL0d0pdfElwmELPtdFJRGhoK9eaboZ11FqR9+8g5fPbs3juXTiekL76A8ML1AJDs9IgRUPLyEF5YCATAt1hJCcx/+hN4aSl5lXg8kHbtgpafT/wCnxLb9OkEqdu5E3A4CH9vsUA6eBC8tBTue+/1FwDapZdCxMdDeewxyEeO+NWPwDl15GtrqZuenEzGku3tfrd15nCAVVWReWCg3HN8PNTrriNi+L59Xaplug592bIgNbDAEMOHQ73jDmhNTYCmUSJ1jMTAmDoVnqlTaVK2bRtMjz4KXldHE5EZM7o8Xex2GCkp4F75XcYYTIoCk9MJFhmJkeedhwbGEPrII9ByciAKC2EIAWRnA6mpVCgrCnw+JL7gVVV+sQE0N3cR1b18B1ZXB9fy5XTf8J6L3RXJmJfELbrfCyIioK1eDeXllwnmGR5ORagkQb344sGVPx+k6A4DY7oOdHbSVM5m65rsyDI1RvryUHE4IH/0EeQtW2jCmpAA7YILyLPnVECJ+hCx6B69Ju42G/3WgYbvPnWSERISguHDh/vlkVtbW9HU1ISysjIcOXIE4eHhfsiYzWY74aR7KKcLp3MIIYYMBubxeKCq6ncwsG96DCYMzO12IysrCy6XC/Pnz/dXspIknVYcDF8wxk7ZFEPXdWRnZ6OxsRHTb70VsssFtnVrlwymyQRj9WqIBQvAq6q+luKOFRWRKleglChjEElJCM3JgaisBHrjMwwg+L//DVRXA6mpEJzD6XBAq6tDipeALY7jPOTeZE/09jD2chj6k1HtN3zk8cAixPtwFTYbEICP7o3oL8aOhcjJIciV3U4TiNZWmnh499XhcODgwYMwm80DniYBILJmdjbBcuLjIcaNC5qs9BdixgwgPZ1c2UeOJG+aqipKGsLDgepqCFmG0RuxMyKCpgJ9yLD6XLwDkwJt+XLw7Gwipdps5NCs60R4TksDHA7wjAwqVLx7KkJCAM7Bs7Kgz5wJpmmQ1q+HlJkJ6DoRps85hxzleyNNBwRra6PkP3D073AQXKiyEvFffgl2xhnE0ThwAPJrr4Hn5RE51/s7WEMD5DVroC1bBmPcOHIN9xLdfe7UiI6GGD4cAgDPyYG8YQNUX8HAGEkHP/88nVOy3FUg+NSFfMl0cjJQXk57qetUiM2cScVK9wgLI0PQ8nJ/UWxMnQrPD34QDHXy/bcQpGZWVQURF9cFGeothAArLyf1saQkwG4H37sXyssvQzAGIzaWYIAbNpAhq81GkDIvnIqVlJAiktsN5nRCW7EC5rlzkfLSS5ArKqBNnw7R2QnU18PweGAUFMAJwCTLMAtB3+kNIzoaIiTEr7LFGhpI+tbjoXtGaio6vFA+fepUMsYrL4dISfGrcLG6Omjnnderv492ySUQERGQv/iCSNCTJxM/6Iwz+j6xdB388GFSJauvB+x2aGeeSUVXX/tZVATp0CFAlqHPmdOntDArLCSj0/x8KiDOOQfGzJkBHxVQrHinmtK+faRYGBYGY/Ro6LNngzU1kS9Nb8dYCCgvvAB540aCKFmtYEVFUJ55hs7X/n77KY7TdcrAOYfdbofdbkdaWhrcbjeamprQ1NSEQ4cOQQgBu93uL14sAxDw8MVQThdO5/A1/YaiWOn0StN/V6x8FwCA5uZmZGRkwG6395CbPR3NF31xKqYYDocD6enpkGUZCxcuhNlshv7nP8PYupVIgLIMY+5ciAULAEn6+iYrvmSq+7HyJkR6fwVFUxNYWRkRGkePDlajcbnA9+4FIiMhGEN7Wxs0XYctNhZKSQn0f/0LxpVXkhLVAHClnHO4hw0jvHBdXVcBoetAfT3E8uUDc9DuLcLDIebNA//0Uyo2FIUSjrIyIrMHwAX8kxXDANu+HfzLL4G6OojkZBgpKX4dfWPOHIgpUwCzGY2NjcjIyEBiYiLGjRvX/4PJMMAyM8HS04non5fnl4mFokBMnQrNm8wes1iZMwdGcTHYjh0k/ZqYCO7xkG9IVRWE3U48nADXZv8yzjqLOExCUKKoKIQbN5nAdB3qtGk9/QKGD4fnhz+E6emnaQoiy9CWLiWID2PkRdHZ2dO7ICKCkuW6OigffUSu87GxpEq1cyeUkhKoP/lJD8hXj99rtxNnpLqaPtM7GWOdnRCahojcXJjvvBOsqYnkf6uq6JwxmchUkDGI6Giw3FzyEbn0UrDmZkr6S0roc5KSoAdMdUR4OLhXMCIovBKnfjlUn0+JV/qWOZ0wYmPJHLSjg9acmAj3U0/1JEk3NcH0l78AqkoEbE0j+GNtLZQPP4T6ox8Fv765GaZHHoG8Zw/B/axW6DNmwHPPPT1gKqy+HspTTxFp3OMhKNyqVUQq9pqSAiBlsvJyyF98ASMxESIujngeERFdqmVRUVAvvJCw+KoKaccOkqMOCQEbPx5Sayskw4DQNFK4c7lQl5yMHFmGPS8P0dHRsIeFAZxD2rvXD2+CVwJXX7QInrvugkcIKvBsNqi33grTk0+CHz3q528AAM/NhfL009AuvjhYOptz6OecA/3sswmSuHs35Lffhun++yGGDYN26aUEWQoo+qQvvoC8YQN5xpSXA243TOHh0K67Dp5f/SpYjU7XoTz3HOQPPyRpbXg5CrffTip0AcEzMmB64AFwr4Q7DhyA9NVXUH/yEz8szl+sCAHTs8+SL0xsLE3lOzupcKmtpd+0cGGv1wUrLIS0ezcVhV7yvoiMBCsogPzZZ/S+06Szf6qEb3hODqRNm8BcLuiTJ9NUtxdVQVZQAHn7drr2pk8ndS/OYTabMWzYMAwbNgxCCLS3t6OxsRHV1dXIzc2F1WpFVFQUoqKiEBkZ2W9CfroWaEMdvvxwKIqVDu+19x1n5VsQjLETloIVQqC0tBT5+fl9EoRlWT6ti5WhXFt9fT2ysrJ6JqdmM8S551IHrFt8XZwVMXo0xIgRRAwcO5aSKk0Dq6hA58iRkHvD4BoG+Jo14GvXAo2NlESnppKruw8/7nWrNzo60NrSAi5JsEsSJUFe12fW3Awxbhz0W24Jgkv1FpxzeKKjYSxbBv7550BTE3W5Ozsh0tJgnGR3UL/2WsCrFuSb0IioKFpbgDqP77rh774L/vrrVCxZrWAFBUB0NPQ776SJhvd6KCsrQ25uLiaMG4fkigrwxx8HmpshJkyAsWQJEKg+pGmQ/vY3+n0OBxG1NQ1i5kyIOXPob3v3Qo6KIqGCY12/igLjmmvAZs8GSkup+PQSv6GqEOPHA32YkIply2AUFoI9/TS5ZHNO56/ZTAIJV13V801tbZRQHTpEsq0AeWy0t8N9//008QgJ6YI+AVTUekno0vbtJCs7fnxX4RsdDX74MKTdu6EtWwZpxw7wvDxyg58zh/giHg/ktWtJMplzKoq8xQ9rbyfp2ZEj0ZacjMgdO4icP3EiREsLfX9+PskRjxxJRSrgd672/OpXkA4dgrR2LdjGjdCnTg2SPWYORw8vBQDQly2D/OWXdB7oetc0lXOoV1wBnp8PXlHRda4lJMB93329qjnJO3cS7GfECCquFIUgS04n5M8+g/rDHwZJF5uefhrypk2k+paQANbQAGnzZpg4h/vRR7sScV2H6aGHSMEtPh6IigJrboby0kskJBFo7Ol0ghcX03rj44m0P2wYeGEhjJEj4X7gAeIT+BoGDkeQ14hISiL+T04OeHMzTAD0FSsQ+rOfIS0sDI2NjSjZvh0R990HUVND/CCHgyYrcXFQf/ADeH79a1LkKy72P2/0JUvgGjEC0s6dkDZvhrxtGwBA2rsX0u7dUN57D65nnumpOMYYpI0bYf7zn6kIDQ0Fq6uD6dAhsOpqqLffTi+rqIC0cyd4Xh54SQmdt1YrWGsr7ZPFAvWXv/R/rLRxI5S33vJPPXzu6MqTT8IYOxaGb0ptGFBeegm8vp7+5oNNlpVBfuUVaIsXUyHoJdiz8nLyshk2jAqNhgbi5DQ3A4ZBXKQ+pje8upp+YzcvIhEdTdd2W1uvU6ivI04mcedHj0J54QVIO3YQfHT1appSdoOQya+9BtMTT1DBC0DhHPrcuXA9/njQa+X//hem558H2tvBAAizGdq558Lzxz8GQaMZY4iorUX0li1AZyfUtDTUjxqFRqcTR48ehaqqiIyM9E9drFZrUL70v16sDMVvdzgcCA0N/dbu6/9UsXKioWma38Bu9uzZsPdxkzvdJytDsTYhBIqKilBUVOTn7hzPmr6WyYrJBOPmmyE9/TTBjTj3SzRWL1yI8F4SYrZrF/jbbxN+fdw4Sizy8sCffx76H/5AN3xFQfuiRVBefx3mpCSEhIaCFRVR8hgRQa67FguYV43KuOGGfpfpm2iI5cthJCURpKm9HWLUKFLA8pnnnWgkJUF/+GGIbdsosbfZYCxaBHSDHnHOITU2gn/8Mf1+3zH28nz4e+9RB04I5OTkoLa2FrNnzUL0+vXg77/vd21nGRngu3ZBu/NOvws937QJ/JNPaLpjt1P3VFG6/FkSEyHi4yHt3w/57LMH1mzgHGLcODpO3hB9KA8FhSzD+NGPIBYvBn/5ZbCDB8E4hzF/PrQrr4Q2ZkyPG6b85ZeQMjNJuthneObxQMrMhPzll9Auvph4LV9+SclZayvBcerqgPBwgn4BwcpIjNH04vBhmHfvJnK611xOWr8e2vnnQ3nnHUgZGUH8BSMxkaB4FgtESgrc48fDmp1NUCKzmeSjo6KoCBACvLQU+ogRJKgQFQXdB8UJD4e+cCGM1FTw4mLyUUlNpelUTQ2gKNCXLOmxfeo110B+/336TYz5k1Fj0iS4//IXMI8H8mef0fQuNhbaypW9urrz/fshvfUW8TqEAOx2fyHocwIPFDYwNTZC2r6dJkygDjI6O6mg+/BD6PPnQ7v8cvrsQ4fAs7LIF8YLlxDDhlGhV11NDQRvE4E1N1NyFxJCEsbeY2PExxPPpL29a10AEBICffJkyF99RfwTzqmhYbHAaGsjaeE5cyAxhhgQsdn03/9Cqa+HJyYGHiEg3G7ITicklwuNCxbAGhKC3nqwYtQo6OHhMD31FIkTxMbSnhsGWGUlTP/4B1z//nfwmzQNpn/9C3A6YYwc2aW0V18P5fXX/dwjXlkJVl9PvKaQEP8UWNhsZOq5Zg3U66/333/kjRtpIuXjTDEGMXw4ObJv3eovVlh1NXhBARWJAQmVGDYMvKQEUk4O9Pnz/ZMGVl/fNZVkrIvM3dkJ3k2dsMf+hIdTget2BxfanZ30b6eR3HGPxN3phLR7N+BywZg1q1d+HUCTNMvNN9M+hYQAra0wPfUUpIMH4frXv/z3I5af7/cyMpKT6bh7v0N59VWoP/0pfd7hwzA9+yxxOUeOJMhyWxvkzz+H4RXW8IX88cdQnnySYKKg4id52jTEPvQQxLhxcDgcaGxsRGNjIwoLC2EymRAVFUWTRLt9SL1GTufwcXWGYpLW0dHRoyj8NsV3xcoxor29HRkZGTCbzX5oU18hSRLU7n4Up0kMRbGiqioOHTqE9vZ2zJs3D7bjVII5pmP8EIaYOhXaffcRbKupidzS582D+/DhXtfEt26lxMmHNQ8JgRg7liBLGRkwzjgDxcXFKJ8xA4uys2EtKKDErrWVCM+LF3e5XMfHg2VmUkLVz8jWvz+MQUye3CUGMJgREXFMRTHGGEIqKmifuifV8fFghYVQa2pwsLwcmqZhwYIFCKmvB//8c3I49nU/DQPs8GHwNWtg/OQn9BFbtlAx4ytUhADCw0nKtrycPCAsFqC5GZLbPfQmmYxBTJkC/W9/65oAwOuj5HLB4/GAc971v6ysLkK5L0wmUrvLygIuvpg8TnQdfNcuKB9/TMni2LGkMFVYCCkvj7wwAo4vczqB8nLwioog8ztWXU0QoKqqroRMCOqE1tZCnzyZCgsf56IbB0fExVEC3txM5pk5ORCRkVBvuikIcsYqK6kLXlQEVlMDXlQEIyGBJkzXXts7/CYsDM533oHy0kuQvQp2+sqV8Nx8M0EjAb90aV8h7dgB+ZVXyJyRc4IDNjcTbyIqCmhpIcf4gARUbm0laWqbDbywkIQKrFYqbJqbobzyChnejR9Pkye3G6IbrluEhxM0rbOTeE2xsZTout3ENwqcNPoKpe4YfcagXXwxpNxc2tfwcIJIeidLvbmuy+vXAxYLFIsFCgBYLNDDwoD6ejjffRdF+fmwmc1Qo6NJ2SsAMiR5vYDEsGFBog8iIgL84EFSAAuY3rLSUipMu3lViKgo8PJy8MOHocfHky9IRwf9ft/v9kH7LBagowO8qgqGt1hhXgPX7nsBwA8LowVL/oIqePMFrdv7Hl9CJ+LiSKnRC7fzf7TXNLQ/dTJj4kQYY8aAHTlCBbH3HsJaW6GtXt27qerXFIFSzdKWLTDffTeJUnh9mDy33koFRbckVHnxRTrGw4Z1FX8uF6RduyB99RX05csBAPKWLWAdHV2FCuAvwOXPPvMXK9JXX9HrfFwogJ5ZLS2Q163zFyusqgrKP/9JMFufpLjbDX7wIJTXXoP6i18gNDQUoaGhGDFiBHRdR0tLC5qamlBYUACnywWz2QxJktDW1obw8PBvbYLdPYZaCezbCgED/seKleOFgVVVVSE7OxsjR47EmAGoOEmSBKfTebLLHJIY7GKlvb0d6enpsFqtWLBgQQ9Jw69jTccdCQkwVq8O+lNfBRSrre2R4ECWASFgNDcjMzMTLS0tmHneeZBXroS+cSPYpk1kirlwYRBh3a9ic4zf/nVKO3dfh+Ej5AeqfwGApkETAnszMmAdNgyzZs2CLMtgeXlUqE2aFPhBhPvPzITh8VBS39HRBaOxWin59nqiwFv4s7o68nGw2YKPjab5nd17DV2nROhEeT3e+4XP8FWSJPJ6EcIvpCGZTJDcbuJ3NDV1Sbyqqr97y5qbIe3cCfmDDyjJS0jwT+IwYgREeTl4ejoVJZJEkw9FoSTQxyfyhoiPB//iC1J98v3dK4zAWlvBJAm8sRGGN5FTQ0PJDycsjBI2r1M2z8uDMXIktBtugD5/fhdUBwCammD+zW/Ajx4lTkxKCnhNDSAEPL/9LRkKBoYQBEdaswa8rAzGqFHw3HsvFRXd75k+9/WNG8Gqq2GkpUFfuZJgcB4PpHXriAA9bx7Q2Ajp6FFSFGtvB2pqyGen2+e6Y2MhbDYyp3M4aG+93WMRFkZckq1b/SadwgulDGwUsPZ2GKmpVGxs2UJFjyzDGDGCvI184fGA1dRAX7Kk1463GDMG7t//HvLGjeBHjsCIioJ+xhl9E7q77w9j1HkVAiOqq5FgtcLldqPN4UBTcjL2NDfDnpSE6OhoxPnuDb08l1igCp4vfIIcHk9wk0TT6HzyKoOJtDQYCQk00XG76bM6OqggNJtJCCCgUNCnToVy+DCEj6fk3SdwTrAw397Ex0OfNKnLm8jLb2IVFTASE/3Fuq8gE8OHQ1uwAPIXX1C3PyyMOFktLdCuvbZ/jymTCZ4f/Qim558Hz88nblJ4OLQVK0j17jQKf7e9vByWn/+cxEHsdj+80/T44xDJydAuvjjofdKuXf5r2h8WC01gMzL8xQr6EA2BLFNTxBvM57nT/XWKQrA53/fu3g3W3ExNEd9rzWaI8HAS3vjpT4OeERJjiNuzB4mffgpeUwPPyJEomDEDVaNHIz09HZxz/9SlN3nkb1MM5USpo6MDoaGh39rC73+qWBloGIaBo0ePorq6+pgu44HxtSff/cRgrq26uhqHDx9GSkoKRo8efcIXx9c5Wekr+lqTMWoU+PbtwV1Mlwu6EDjU0ADPsGFYuHCh/0ZrXHwxcMYZwF/+0oXdB2i6UF0NY968Y3oS9FiLy0W+MOHhPbu6QxiMMbSNGNHF8xk9mh5Gbje08nIUTZqE+LFjkZaW1nUu+OSquyuZaVqXrC1AcLZdu7r+npAAlJT4jexYbi7B9lauJAicEEBREaR33wXbt484KkuXwrj8cuq8A+RNs3UrSTsLATFtGowzzwQGeB37IrBQ4Zz7HzKGYUBva4OQZejjx4O9+CJJVXsd7LkXlqHPmgV0dMB8xx3EaRECgjHwujqwXbugLV5MppYpKWBVVURaZwwiKgraxRdD+eADKuaCF0VJZ2/eLozM9uDxQMrOhgxAcjph2O1gPrU2RSHcf2wsPPfd1+uERF6/noqZ1FR/QaRHR4MXFUHaubNHsSK/9x6UZ5+loshqhbRrF3hGBjy33gp91argKciaNVCee46mHyEh4IcPQ96xA+7f/pYmTXV1XZAmux3CYgHTNEDTYMTHQ0REQNq+nRzUvZ+rh4dDW70apr/9jZJkVaX/eTw0wYqMpEIGgDFlCoxp04izkpBAfKLmZjC3G+qqVdAuvxzasmXg1dUQISFgDgfJJ+fn+/fZmDiRHML7uO+JlBTi1HQ/br2EtmIFlJdf7uK6eDxUdGoaRGIipKlTEcoYnOXlSCotRWJnJyoBVGzejI7duzHW7Sa4VnIyuCz7j7O+cGHXVKW9Hcrbb0Pato3MFCsqYIwY4fcR4tXVMFJT6XwFIGJioF11FRmi5ubS+cYYKZR5pYJ5ZqbfxFRbvRryV18RDyoqiu5xLS1dXkIB56j6wx+CV1XRfnrVCEVMDNTbbuuCm/mmR4zR3xUF8o4dJJARHg7tqqugXnNNr/sZtOUjR8L95z+D5+RQMZqURByt0yyZ891f5I8/pkLFCyEEvKIA9fWQ33ijR7EiwsODJLDpj95pcADMzZgxg86tjo4u2WfDAOvoIAU5b+iTJ0PhnJ4zvmtW10kYI3Aq6POP6r6PkkTXXbeGlvLf/5LKHgCEhsJ88CBGpacj5MYbEXfTTWhrayNvl/Jyvzyyj6gfERHxreJgDGWx4uOsfFvju2KlWzidTr8b/YIFC2A9Dmzr6UywH4wuvWEYyMvLQ0VFxXEVcX3F6Vjc9bVPYtkyICuLpHoTEgCPB1pZGcpiYmCaPRuTp0zpeVONjoaxciX4e+8RHCEkhPwUEhPJpX0AazEMg8j/27eD7dxJOPmwMIgFCyDOOCNYjcwXDQ002TCbSZ3rJDtVnHPoZjOMW2+F9NRT1HFnDE6nE3VxcQi//XbEBZrUAQRZi4khfoIvQXC7wZqaYJx9tj/ZNi64AHzzZuKohIX5oSYiNpb4KqmpMM4+G2LWLPCNG8EqKiDffz8VTdHRlHy98grYkSPQ//pXSr5eeom4SF64C/vgA0hr1kCccQbExIkQs2b1vSetreCbNgF790KA1MWwbBk5yQPgO3fC9NhjZPAoyzQRCAsDnE6CFwkBoSiUVJnNJH2bnU0QDLfbXzDA6SRo1fTpJHV8/vnQrriCutyjRkFER4NXVUF+913q4PtgYA0NRBJuawuWtHa7CYZ04YUwxo+HtHs33CUlqHC5YD33XChvvQVp1y4wjwfGmDFQb7mlTyUlnpFBksu1tbTWiAjiwZjN4N1dp9vaoHgd1Q0fmbm5GfzoUZjvvRf6pk3QlywhVShNg/z665T4+uCEQoDn50N57TW4f/97gm65XFRUVVdDxMfTJMThgDFzJkRICHhJCfihQzDmzAEASC4XjIQEGGPGgB88SMmW2QxjzBgYEyeC5+WRZDIASBI8d91FamAHDhDELCQE+owZtL+FhTRZ8Ba+AoDrsccg7dlDk65hw2CkpUH68ksin0dHQzv33GCTxsC9TE+H/O67kLKy6LXnnw/t0kv9x1O97Ta/gAJzOrumgSEhYG63XyrbMJthhIUhqrgYEZxDefNNiKYm2o+6Ooj2dqhhYZAYg4iLg+cXv/BDrkxPPw1pyxaI6GjoU6cS/66kBKKpCbBYYMTH094HQKOMefPgeuwxhNx8M3hTE01ezGYYyckwhg+HvHYtTYtCQyFSU+F+6CHIr71Ge6ooVFBcd10PnxExZgzcf/877V9pKURcHLQzzoAI4MkFqWOFh0P9xS+gXX01dfNjY4+Pq6coXQampyp8k8YPPqD73axZUK+7jp4bvb6cYGC8tpb+0P05oiikyNYt/AW61+keQoA1NgKhoUGCNvr8+dCWLoW8YQNEa6tf5VAkJkK98cau1y1dCn3WLEj79pGogiT54WNqAF/FmDqVzs+WFpoAAVT8NDdDW7kymIjf0AD5gw9Imtv7+0VcHJCTg+jPPgO/7jpERkYiMjISaWlp8Hg8fnnkw15IdqA8cshp6At0PHEqJivf1vifKlaONQHwKVrFx8djwoQJx31SnY7Jty9Olszu8XiQkZEBj8eDBQsWDMpF4UvGB026sbkZ/MsviQ9itcKYNw9i8eLjggH1tU9i8mToP/oR+CefABUV6HC7UZ6WhrCbb8bI7rCYwPedcw6M+HiaAjQ2QowaBWP+fCBQWrSP8BHs2ZdfQvrkExjh4fRwaGuD9OGH0N1uiJUrA75MgL/5Jvjbb3dBklJSoP/ylxDTpw94D/pah5g5E9rDDwO7d6MiOxtNISFIufpq2Hp7CMfEQL/2WiokDh2iBzBjEDNnBnNkYmOhPfII+Pvvg2/bBiFJMG64AcYll1Cn1WTqwr8zBmXdOipUxo/3d+9ETAzBqHbsAKxW4gtMmEAJYVkZeH4+wfiysyGioyFmzYL+m98EKZ4BIMW2Rx4hX43QUFIvOnQIxqFD0O64Azw7G6YbbiCSrsVC+PBt2yBsNugrVlCiIAT0uDgiKFdUgBUXA4YBQ1HAFIU6pU1NdKyqqkiqNiIC2uWXUwfUF7oOYbeDdXZC/uILmsDY7UBYGDzf/z5M//kPFT6yTKZ5ALQlS6CfeSYgSdAuuQSdra2oOXQIo2fPhnv2bOrCOhzkWt7HNcFKSyFlZYG3tEDoOkGA6uuJmN/WBr1b84YXFIA1Nvp9Q1hLC3XNNY26/A0NkN9+G6yqCvrChVRspaQEnlwwEhLAi4vB3G7o06dD3rSJurC+Dm17O0RMDEGHhKDPdrkAAJb0dEz94x9haW2lv+s6BABt/nwgLAy8qIgmVWee6f9KERcHz333kQrVmjVQXn8d8vr1kNetgwgNhXb55fD85jd0zqoquLdAFKmpELoOy89/Dl5a6p8aKu+8A/fvf0/SwIF7s3cvzH/4AxU5ERFgRUUw/eMf4EVF8Nx9N10PiYlwvfEGLN/7HnhuLhXsERHE0dq3D8Jq9RdlkGWgsRGmrVvJd2bSJLDJk2GUl0PKzgZLSED9okUonDcPra2tiMzIQGJzM5L27KFi2Vtwa6tWQTpwACIsDOpNN0Ffvrx3/ofdDmP6dOihoVREh4fT2txuIuFXVfllno1x4+C5/36amHlV9PoKERsbRNbu8e8BHA7/3+Lj+1T+Ot3C9OijMD39dNdEfcsWyG++Cefbb/da1PomK34lusDJhBe2ZwSaAntDveEGSAcOQNq+nSC3QgChofD86lfBgh2SBPdDD8GYMQPSmjVg7e3QFiyAeu21wesJCYHrscegvPEGQe9cLmgrVlCh5RVEAQBjwgRoF1xAUtW+aa33vqJ1E43h+flUZAZe8wBUux2m+nqgsjJIZMNkMiEhIQEJCQkQQqCjowONjY2ora1FXl4eQkJC/JCxY8kjn44xlMVKZ2fnt9ZjBfgfK1b6CiEECgsLUVxcjIkTJyIpwLDreOJ0NYUETq6Qam1tRXp6OiIjIzFz5swgb5mTXRMwSG62jY2Q/vIXcpe2WEgSd+tWGDk5MG677Zgu1r7oD5omZs+GZ+pU5G7fjsaODkw580xEdk94uwdjEFOnQpxAd49zDtbZCb5rF4zIyC4VrvBwGJIEvmcP4fe9SQjbvBnSCy9AmExkSKiqROB+8EFo//wn0A8h9Vjr8HG9XDYbDsbEQFq2DNOnT4e5tRXswAEa/8fE0EPN2zUWS5dCS0khjx2vjKiYM6enEk9CAoyf/MRPuu8rGGPUoQ4LC+bNeHHarLCQChDO/dwXvnMnQSs4J55CXBz4jh00sekG1WHbtoFnZEAfM4Y6/IxBuFzgBw6A794N+dVXaTIWSFBWVcLRt7b6jzEXgqRzrVawyEg/HE4wBn3ECHCzGbyiAkJRoM2aBf2SS4JM8SAETE88AfmDD2hiwjkRac1muH/zGxhLl0I/7zyY/vlPSLt2wbDZoK1eDWP0aJieeIKKp8WLwbop8/lhQW43pN27wQsKICwWMvBLSwOEgLxmDfESfB1xkwmsvt6vAiYdOQL544+JpMwYEXVlmY6/yUSv0zSaInqhTOCckuORI7t4T4ETQV9yJsvQLr6YfF6ys/1wIpGUREkxYwQTs9spsWtrQ/x994H7SMayDNHcDN7YCOnwYRhpaTBSU6FeeaU/qQ44mQBNg/Laa0BnJxVbnBMh//XXYYwdC+2ssyB/8gl4QYGfFC7t20ewqbS0Ls5FeTlMf/sbnPPmdcFshIDy2msEh/KuHQDQ3Ax5wwZol13WpZJVXk5iBIsW0bXhcIC73TQ1zMyEMWMGhGGQkEB4OMmAjx3bJZqQnAydc0gREbA9/DCmgxACjY2NcOzdi466OjisVlgMAxaLBWazmZJZVSVvk764HyEhgMlEimCB9zmXi5oIvaEOBqHzbRjGNxZ3z3NzoTzzDHHuAqYOvLoa5kceIZWubuH7veqqVVD+/W8S1fDe41h7O2Cx9C5MYbXC9eyzkLZvh5SeDmGxkJls93MdoM+48cagSUqvYbdD/clPoPZ3L2YMnjvugDFhAqQvvgBraYE+YwbUSy+l+0hACKu16/4QkDcwVaV7QD9NT8YYwsPDER4ejpSUFGiahubmZjQ1NSE3NxcejwcRERH+qcs3ga8xlJLN3xUr3/LweDzIysqCw+EIcqM/kTjdJyvHvTaHA43vvIPW3bsxLTkZ9ssuO3Gyci/hu2gHo1jhX3xB0JBAv4qmJvB16yAWLyY41ADX1Fex4nQ6iRBotWLuokX9KsMNRnDOwVtbqWvWfRJjtwNlZeT54oMorV1L3Txfp0qSyIAvPx98+3bi0ZxA+CYrLS0tSE9PR2xsLCZOnAjpyBGwbdtIvpIxKgjGj4c455yupCU1lbgPgxCMMRgREQTVCfwHH5nYaqVJhe/4VVUBVVWk8OTxkOFkczNEWBj4xo0wrr/e3wEWQgBZWfRg9RYqAPzYbZ6bC75/P0GSApWUrFbyxigrg5g40e8xAbsdmDaN/vbmm5Crq2EMG0afHxICIyEBjt/8Buqll4JxDq7rYIzRMU9Ph/zxx13TFADweEjetbAQxrJlMGbMgOuFF2hfampgvvdeyGvX+vdC/vBDWG64oUu9zhft7TA9+igZEHobK8p771GHff588Px88uew2Qj6VFvrLyaM0aMhwsOhvPIKRGwsyRuPHQsxZgxdeyNH+gUTfGaSfrJ7RQUVQcnJJIWcltblb1RTA33RIoKJMAb1F78Az82FsX075I8+ou9vawOvriZ/jSuvhEhMhPzRR5Dr6+Gy2xHiu+ajouj4Gwbcf/wjwYv6gPzJ69eDtbYSfM2X+EdFAeXlkD/5hBTccnKo+2w2Aw0N4IWFVMj57leMQQwbBlZVBengQZpsAWDFxZAOHgziDgDwGxPynJyuYqWujjhaVitN98rLwdragM5OsI4O8L17YRECnmHDYKSmQtq6tSdfwDsFghBgnMNqtcJqtYLPmAHTmjUwW61wCoGWlhbouo7w5mZIcXFwCwFrH5NtkZQEfdIkyDt3QrdY6FpwuSCVl0NbtIgK0SGIU2WSOBQhbd4MpqqkgugLziFMJkibNlHzodtzw5/ARkfD9eKLMN17L8l/ezwkLHLnnX0LNMgy9CVLepUSH9KQZWirV1PTop8wJk6ESEuj833UKL+4jNLYCMdZZ8FyHFByWZYRGxuL2NhYCCH8BXlTUxOKioqgKEqQPLLSG0T6a47vOCsnHv9TxUr3G2BLSwsyMjIQERGBBQsWnPTJfTpzViRJgtvtHvDrjfp6OH70I4QfOoRYk4kusPXrof/85zAuu2zQ1gTQBXyye8/27OmScvVFVBRQXQ2WnX3SxUpTUxMyMjIQFxeHiRMnnhLSH+ccmteQDd4Omz86OqggCCiuWXV1j+TILxfa1HRS6zAMA/v27esyRG1pIZd4gCBZAOBygR0+TFwTL1n3hKKoCHzXLrCSEoJ/zJ8PMXkyGGPQk5LAPvqICpGkJOIi1NaSatWCBRCck6dJRQXJH3sLKZhM/sSZNTcDRUWU3JnNfiK9ZDZTN7/bfYIJQYl2VBTh9wP/0Wymc84rywwAiIqCdtllfq6O9tvfQv7738HLyqiYCAuDet11YFdeCQlewn7AfcOyfz8pWfl4FgB1uK1WSFu2QL3llqD1yW++SbyY0aNpLQ4HeH4+bA8+iOTly8ESE/2cAPmzz4gkP3JkF869spLkfZOT/dAmY8oUUhXasYMmWUJQYWK3g+XlQdq82e8C7vnVr2C67z5wr+M9NA0iLo58WwJU3RAdTQpNf/sbCScwBgbASEuD+oMfdCXgsgxj0iQYkyZBnz8f8tq1VLyMGAHt7LOhn3MOHRffsQh8+Hs5Q8zjoWlLX9wkjwf8yBHiEbndXYad3mPKvCRwkZhIkL78fJJPVlWCvPjU7ACayBiGn9Qvv/kmqZ2Vl9O509EBkZJCha6uU/IaMIEQCQnkg9PUBF5aCuZ0krqZrlPBVFSEzgsvROfixbDbbMD779Nv93E3dB28qQnqRRf1mCAb06ZBjBmDkCNHYE5JASIioNfWwtA0lE2fjoKMDJhMJkRHR/uTPCmgENOuu46kqw8fpt9rsUCfNg3addf1LJg6O2liGBZGheoJxje5WOkhyxwYvSm0IRj2ZowfD9fbb5PMtMtFRf1pmHQPOBQFnjvugOmBB8BLSvz3l/axY9F+/fXoncVz7GCM+Qvy5ORk6LqO1tZWNDY2ori4GNnZ2bDZbP7i5XSRRx5qzsp3k5VvWQghUF5ejtzcXIwePRopKSmDciJ/WyYrTqcTDQ88gGFZWTCNHQtutdIDpLIS0tNPk5LVADgXxwrGmL9rf9LhhWQEhe/hcKybg+993s524HoCz5Vx48ZhRDdH5AFFWxtYRobfCNCYMiXYxb2P4JzDExoKMX062MaN1JWPiKDPq6yEWLIkCNolxowh4mwg8drjof/uK3lwOIjgvmcPfcbcuTCWLQtS5ikqKgIATJ8+HbE+w7yqKvJFCZS8tVgAmw3s6NETLlZYdjb4c88RvyI8nIQJ9uyBcd11GLFmDULffZc8RTweKkiysmDMmQPj1lu78POXXAL+2WfEF/GpjIWGdj30vb4k8J7Xuq4TMX72bGDrViJdR0YCjY3EddF1iGnToF91Ffhf/kKE1pAQSvRbWwGbDep99xHsSZYhJk0KStb0Vaugz5tHUqMeD4zp0yHGjIEEULHicpEJ3N691E2vqYFQVYKHAJTU95HowO2GvH07TQQUhTrzeXlgnZ2QHA4kbdoEU1sb1O9/H8bcuZC++or4OL6iljFS4crNBS8ups59VhaMiAj6t7AwKsgsFnI8r64GWlqIhO9VsDLGjYPrmWcg7dgBadMmyPv2QR83jopDt5s4RiNGQJ84EdKhQ9DPOIN+Y0wMRGoqOZcHmiv6QgiCHOk6RGgojOHDidzrg4+OGweJc4JMhYSQilZLC/FyIiMhb9oE7aKLelz/LD8fpr/9DdLevfSevDyIqCgYiYm01w4H9AkTqKCprqYplMtFsBxVpePf3u4nejMvp8eYPh3yRx9B+eAD+v9jxoAfPUrTKSGow1xeDpGQAD1AXcmYOhXGtGnkueJduw9qpc+eTYpZsgzNC3/TVqyA/PHHfn8T3tlJssuXXNJzD00meH72M5ieeYYKLrcbLDQUYtIkpEZGIllVUT9mDJo6O5Gfnw+Xy+V3Ho8VAhHPPANp/36a9Fgs0M4/H5477wxunAgB+f33obz1Fk16vetWf/az3knlhkEKXc3NMIYPD+Yw4ZtdrOhLl0I8+iidI74ut2GAeTzQVqzoVcWxBzSIMSpuB3txHg94cTE1Xk6hKpoxfjzdH3buJCXC4cORbzYjrg/BgRMJSZL8CmIA4HK5/ET9cq84QaA88lCjIvqKoeasnKzo0ekc/3PFiqZpyM7ORlNTE2bNmuU/uQcjfAXB6XizHahMcGNjIzIPHsSi9HQa0QYmNYmJYN6ut3HFFYOyrsEq8MSiReDZ2RBeSVQAQF0dYLP1zRepqgJft47gPZIEsWgR5JEjYXhvZIZh4MiRI6irq8Ps2bNh90FyfInjQKYrNTWQXnwRLD/fr87DYmNhXHstRCChupfwFXLGihXgHg9YVpZ/eiIWLYJxwQVBrzdWrwbbuxesoIDIqKpKyfakSeRM3z2cTkgPPQS+Y0cXvG/nTrA9e6D/3/9BVRRkZmais7MTABAdHU0Jel4eFTeVlUBaWjA00Avt8UdxMfjOnZScJiWR50xfBZ9hgH/yCUG1Jk/uItaXlIC/+irS1q7tSq5Vlci8nZ0QKSkwArwTxJlnUrIpy5CKi/2fDZeLut+KAkRGwhCC9tebLIh586CvXAnpk0/AN2+mhBQAYmMhffIJ1J//HDwrC9LatVTQgGBg6v33w1i6FCwnhwqW3qCkcXHQL7rIu0DiOaC1FSIhAcrnn0PaupW6+yYTUFtLpoi1tTDCwsBrakhe1+mEOmECjJYW8O5mfd5zkZeVUWc+IgLQdbhiYxHmcBAJfMoUIqZ3f1gG8G+0Cy8Er60lzkhbG8G5zGYYCQmQN28mEQGPB6K4GCHXXAPX449TYRYRAf3886Gfcw7Ef/8LaetWKjQlCWLkSKiXXgrLL38JnplJ0C/GYIwaBfeKFb0XKgCUl14iSeTmZppIrFkD5a234HrkERiLF0NfsADa9Omw7N1Lho4dHX71LGGzwfT440BnJ7Trr+/6UKcT5ocfBisogDFuHL2vuRmsthbMuy4RFQX1ppsgbdgA+dNP6fO8Mr2GEOBlZUTcd7moGWCxwPP970OEhEDevBnCZqOJYEQEWHs7ObdXVVHRNXw4kfcDOSCSBM///R94YSF4VpZfwEGfPBnGuHHgRUVQ6uq65HxvvRXG2LGQvvoKrK0N6rRp0M47D6KPBpJISYH7r38Fz8kBP3IEyssv0/m2dStMjGH4hAmIffRRiLFju5zH6+pgu/9+qLm58MTEQIqPh6m9HfKaNTDGj4d2+eVdy//iC5iefhqCc4iYGDC3G/KmTWDNzXA/8UTQZIBVVcH0t7+BZ2eT6lt4OPQzz4TnJz/xP2t6I9h/U8KYOBHqTTfB9OKLEM3NdMyEgIiJgee3v+39PSfB0eH790N5+23wwkIYo0aR+ei8eT1eJ33+OUzPPEPNBs5hTJ4Mzz33BPsrDWV4RUh8oR84MKTH2GKxIDExEYmJiTAMA+3t7WhsbERlZSVycnIQFhbmL24iIyNP2flmGMagcX67h8Ph+G6y8m2Jjo4O7P9/9r47Oo7qfPu5d2aLVlr1Xi25995tMNhgUwwOvST0kARCCxAgoYVQQ8kPk0ASQu+94wK4YtwtN0mWbcmy1XtfbZm59/vjndkirdyQwV/gPYeDJW2ZcmfmLU/ZtAkWi+WQbvRHE8GwpmO1II82DkX+l1KirKwMe/fuxZABAxBltUKa8A0zTN8MU2e9D6KvvFbE3LmUzG/cGDA/i4yEOO88IqN2j7o6KE88AWZ4AzAhwF5/Ham5uai98kq43W7k5+cDAKZNmwa76dz8zTdga9fSiH7UKIg5c3pPvkFcGlZcTNwFw0SS7d0L/v771H0+iDS2n9geGQlx8cXArFlEOI6ODjspkePGQb/zTvDXXydZUFWFOOUU6NdeGyD+BgVbvRrsu++oy2Zuh8sFvnYtur76CusNqciJEydi1apVEK2tsDz/PNiGDeQG3dgIWVJCyl2JiaTJX18PGRkJ5W9/IwnlvXsp0bTbwdxu8BUroF9/fXhYXl0dUFZGWPhgXkhGBnGP3G6IlBSSZ7Va/TAcvnw5FbzBSXhSEsSCBeBLltB6cLkIGmR0rfXZs6Eb645zTsmCokC/4grwlSsD3c3kZJIiNRS5vP/6F/imTeDr11O3f+5coKEB1t//niY5uk58jksvhX7mmT27l/X1UP/zH3IYd7tJEtbtJoU4M4FNS4OsrQWvrAQ3YFXgnBzaS0thefppdP3hD2B2O7jFAm3cOFgMJSvW0UEQo64uSKsVnrg4CIMnwktLoU+YAMuHH0JPTQ0cr5YWkrAdPBhywAB4b7wRysaNYMZEjTU3Ez+pvp4S98hIklbeuhW2P/8Z7pdeCuyn1QrfVVdBmzMH/MAByIgIiOHDYfvLX6Bs3AiRlkakfK8XfO9eWO+7D+7XX+/BhWOlpbC89BLQ0UHFn91O66uyEta//Q2egQMhU1JQ88ADiHziCaR/+SWds9hYiP79qbFSVQXLBx+QCaBxbJXNm/0TJFit0CdPBt+1ixzc29qgTZsGfehQqO+9R1Cc5mbIpCSSFfb5gIgIaCNGgLe2QvTrB9mvH7QzzyRBg9paUi4z+Qp2O/QTTqBiZdcu+C64ANoVV4Q3k0xMhO/KK6G+9BIJUcTE0ERLSsDjgTcuLsTDSJ8zh+BwPh/Ujz6C7e67Sa1t8mT4LrooRL3JfI8YNgzWRx4Bq6yEyMwELBZIjwfKjh10TJ9+2g+tyamqgq22Ft6cHHgVBV0+H4TNhqjOTohXX4Xr1FPhcDrBAFg++ICmP8Z3SocD0m6HsmMHlI0bAxLZug7rE09A2bQJIiuLIKstLSTqEBvrhzf+/0ywBwDvvfdCTJgA9f33wRoa6JxcdlnPc2LE0RZnypdfwv7nPxMk2Golz6Kvv4bn/vtDPFmU776D7f77yWw3Ph7QdSjr18N2883oev31kGYB37kT6ltvQdm6lVT0Tj+dPI362KixT0R1DjM454iJiUFMTAzy8vLg8/nQ1NSExsZGFBYWQtd1xMXF+YuXI7GrONLQdf2YmV7+TLD/HwpN05CUlISBAwcek0raLFCO12Klt6JA0zTs3LkTLS0tmDhxImJjYyGmTAH/9NMQgyo0NxN05nvI4Ibbrj6Bzjmd0O+6iwoJ02Nk3DiaqoR58PGVK6lQGT6cEjAASE6GY/t2KFu2YG1LCxISEjB8+HC6qfp84P/9L/jatZBOJ6TFQoVIYSH0m28OD4trbwfbscOvVATAnwSzPXuIKH4QLk2PQi4tzd/h7S3kCSdAnzYNelUVJTsHkfvk27aBIdRADA4HvLqO6s8+Q9Jtt2Hw4MH+86O88w74F18QITknBzhwAKygAMrbb1Ni3twM9t134A0NVJQZ8BcxcSJBtKQE27UL/J13oA8b1rPDryg9JzNAwHsiXALDOU1ZjI56yLEYPx5i7lzwL76gdRsbS8lvXh68hqlc9/sA272b1HgMkrn/s3w+KN98A+2KKwh2ZsrJ1tXB+uijJOOalUXk8poaqM8+C5mYCDF1auDDhYBl4ULw774jg7qkJD/8ChkZpPhmHAcxZQoVNPX1xMdJTobMyYHUdVi2boW+Ywd8EydC13V0nX8+WGEhlJISchpnDLBY4BsyBFo3wqV29tng+flQdu2CcDrp2Ok6tHnzAg7iaWl+4qx2wQWwLlwI5eWXqbCKjKSEJzISUlWhbNlCpPzghgBjkDk50I3kjNXVkcRzXFxg6mmxQCQlge/ZQ7LT5vE0l8LGjVQMWyy0JlwuKticTii7d4MXFEBPSYGIiUHd6acjdc8eiMRE4pvU1pICna4DjJGbt0FAZi0t9HszYXA4yL8lI8NvyKeUlkLGxJC4hXF8JOfkN2MU5SI1Fe5nnw1J9GRsLHF6mpqooWCcSxkVRepi550XtlAxQ58wgQjazc1UoLndBBtLSEBnuOmwELDdcw/Uzz6jab6igBcUQF26FF3/+U8PZSa+YwfxcFJSAtMOmw0iPp6Od0WFfzrDq6vBNA3WmBiYqZWu69B0Hairw9ZVq8Di45HkcGDo/v1Qu08TIyL8Brj+7y8sBC8spPuHuS7j46lg+vprMnqMigpFJmgaKddt2EDmhCNHktHkwdzrf+zgHNqZZ5K30GFECAyssRGW99+HsnYtZFQU9NNOI++S7vmK2w3bk09SUyIjw99IZDU1sP7979BOPdXfgFLffhusszNESEJERIAfOAB16VJoF11Em52fD/tttxGULzISrK4O1sJC8N274b333j6Fjem6fugcTNcJWrpmDVhnJ/SRI6HPnh1eZvsIwmKxICUlBSkpKZBSorOzE42Njaivr8eePXtgt9tD5JH7Mpc71jCwnwn2/yMRFxd3TCtPk4NxPPJWeisKOjs7kZ+fD6vViqlTp/qnTeKyy8Dy8wm+FBnpn6aI886jKUEfRZ+62EdEQJ58Mhk4HiJYQQFNG7pJ4Go+H3zFxcidPZuI5CYUaedOgovl5gb4HKmpxLFYtQrikkt6fok54el+U+acfn+IdXLUx0ZVDzrt8Uc3no8E0NHeDr2tDQmpqYgyiPOMMWSsWgXrK68QF6KgADIzk+AG48YBZWWE59d1gp3l5pLreEsLdQ137oSemQkkJEBmZoKVlQHl5UA3rDqSkiCHDSNp4ZgY2g8hwMrKIEaMgCwrA+/qCogKCEETrnnzwpNQOYd+772QI0aAf/kl0NYG/cwz4T33XLCBA8HDPHxZUxPBy7rL/kZGgjU1USIZlKAqa9aA7d8PREYSYRuGRHBHB/iSJSHFCisqAt+2jcjt5j4kJUEeOECEcwO6BsCfaIsxY0KI9gwAFwLWqiowq5U4NwMHouuRR6AuXgzbm2+Sg/m4cfClpUHW1FDCm55OBHrG4L3/fnKp37KFzCtPPJG69N3XaVcXWHm5XwVMxseHTgJtNiqOmprAamqgLF9OPirJydBnzQr4YrS1AT4fJeCGrDNraPA7zSurV0NMmNAzGdJ1gmnpesBFHaDrtqWFjrWU0CIjaZqkaaSk1dJC68HnA9xuqO+8A33kSDJpzcoiMnt7e6hhYUcHbVtHB8Tw4fT1iYl0btvaIMeOpaJe18F37YJ+0kkBaVoz7Hbop54K9aWXKPGPjwfr7ASrq4M2a1aIn0S4kJmZ8F1zDdR33wWvqKBCPzMT2rnnwh0RgYhux4dv2gT1yy/puDqddGyEAKuogPXFF+F56KGQ17OODlKq6t7ZtdnoXLe3+3kSMjmZ7g9BbuaKokDVNMiMDEyZMwctnZ1orK9Hq80GW3U1NEWB1WaD1WqFqml0vky5bNCEjrndPRXSIiMJLtfWRuR8s1gRApb//hfqF1/4+VHKqlVQVq+G5667eoUP/v8W5iSJ1dTAftllxC0yQl28GMqaNXQug84/37WLoLVxcYHfM0aGsfX1pM5nwMH4nj10fQSvH+M+E2w2aXnpJfICy80NvLalBeqSJeQDZVwXfbXPBy1WpITlhRdIlU8IMsbcsAHK6tXw3n13rwabRxqMMURFRSEqKgo5OTnQNA0tLS1obGz0c7iC5ZGjoqK+19TvZ5+Vo4+fVLFyrIMxdtyS7MNtV11dHbZv347MzEwMGjQo5OYhBw2CtnAhlA8/BNu8GTI+HnLuXOJJ9GGH5Uc7Xk5nCJxNSommhgbA64U9Lg79uiXSrLycHpjBnQvOCZdeUBD+O2JiIAcMAN+4kR4q5vGtqoJMSjpk8tJDfKCtjR5QViuQlXVo4YBDhBg/HmzJEuooR0ejubkZvoYGJMbGArNn+xMXZdkyDH/pJeIEGMUsKysjKMxZZ1EneeJE8CeeoONqQObAGP27vZ0mDwbnxdi50I1pbSUIX1QUJXlFRQF/kvR0iKuvRn1zM1LXrCH1JoPsLBMSoN9yS+87abNBXHwx9Isugq7r/odkbw8cmZlJ+1BbS9Ahu52mNy0t1Dnv9pBkFRU0QVIUf7ee7dsHqSg0MQl+bX09JX9BSbKMjQVzOgNFktNJx8vlgujXj4jNHR3gO3fSGgSoa+3x+K9XRVGA/v0hfvc7uE8+GZZnnwWvrAR274azuZkmHEIg4vzzqbgbOBC+K64gBa5eQvnsM1ifeYbc0QHaDilDEk3W3k7JpdsN2403Ei8DoCLro4/gvftuKjIzM2mKVFND57mmxu+3wnQd6pdfQgwbFoppHzeO/t7ZSYIApuJaZyeEwwEEJcGetDQiqC9aRAT1mBh/IStzcsCqqqB+9x20+fMhRo6EPnEiyf/Gx0Pa7cTDMRI9EXx+7XbokyZBXbkSbMcOsLg4QNOIG3DxxWHvg9oZZwCaBnXJEloXERHQzjgDvl/8Iuz0zx+trSSOERUF7803UwEIUGFrswGFhT3WrLJpExVkwQkK54ChGtd9GikGDSKVMQPa5j+Pxs8iCKakT5gAMWQI+PbttObtdioCPR74fvELKHY7Eux2JCQkQL3ySqhPPQVvWxu6IiPhrq+Ho6kJ3kGD0JaXh1hNg6qqEOnpJNjQ0hJS6LGWFpocGsWHWazwggIy6oyPDzQIvF7w7dtDJgL/v4d5T7I8/zz47t00OTCbFh0dUN9/H9r8+dCDp7SmymN30Q2jqA+GVYrMTKjl5aGEfaOR5m8ouFxQduyge17wOjMMSvmOHX1erBwsaee7dhH0Nj4+oHqnaeC7dkH94ouD3ru+T6iqisTERCQa0xuXy+Un6peVlfmJ/GbxcqQqpseqWJFS/ixd/L8UPwQO9ng1hgwuCqSU2Lt3L8rKyjBixAik9QYt6t+fnL6PYfTpZOUIQpjqTA0N0GNiUFdXB0ttLezJyfCEuSlLuz1ArA9aR8zjCU+oNr9n3jywigqgoAAsMpLG9g4HxDnnHBLK4D82QpBh4cqVJEFssUDm5UGcdVbvKl+HEXL6dMi5c4HFi9FZVAQLgNi4OLDTToM+Y4b/dep//gNN08hTxITQqCp1SnfsAFJSKMn3+QguAwNa5nCQlC1AD0ej6ytHjAiBzbG1a6E89RQpjAkR4E+ceCI5h48dCyQlYe/NN8M+cyZily4Fq6+H6NcP+mmn9YQFeL0kNLBlCxn+DRxIRSUAJTkZGDas94KbMYI3bd0KabFQchUVRTyByy/vaWLW1kZFRjDUz24Hq6qC6NbBlsnJ/uLNX7BERABxcZBtbWClpWCqCmmzQZ85EzI5Geozz0BZtIiSdlUl2FZ7O9Q33iDoXTDenHNg6FCIP/8ZLYsXo2HrVsScdBLYpk1Qly4ljo3VCr5pE6y7dsH9yCOQYfwblM8/h+3Pfyb+i9NJRbndTkR3gKBOXV2ApkG7+GJY33oLvKaGzA85J6GEvXthee45eBYuJEO6yy4jvkR1dWBiZkyFYLVC/eADmlbYbGAVFZSIm1NNl4uKU0NCGhERoYkXY/DecguZdxYXk0Ib5zThmTgRrKYGbNcuYP58gHN4b78dlrQ0KCtWUPGTlwdt/nySG/b5Qj5bZmVBHzmSoGIREZC5ueSl4nKRIWdKSmgnWlGgnXMOtFNPBauthbJtG9TFi/2+OdpZZ0E7//zAJFDXYfnHP2B55RXwujoSL4iNhTZ7NhkBGvA6GSYpZS0tVKx0L4KMTnT3kMnJ8F1wAawvvABUVAQk0VUVvssuC52aWa3wPPAArI88AmXnTuq4R0dDu/zyHkWCtmABWEsLbB99BHtLC6TFgq7Jk1F1ySWoLi+He88eUhiLj0f2xIlwLFsG6fHQRMXYB23BAv8Ex+Rw8IICul8GN46sVuLErV37P1OsmPurLlniv7f6IzIS6OyEsmpVSLEihg6FyMmhqUlamn9azxobIfLySHHSCO3cc6Fu2kRT74QESvrr6iCTkwkuBtAzxWIJ3K/9X2Q8m7uZffKiIqjvv09eQrGx0ObNo3N4mDzgQ01WeFFRALpmhqpCxsaCr1sHHKNipXuYHK7MzEwIIfzyyPv37w8rj3woaNuxli7+Pj6Bx3v8pIqVHyKO98lKX5pg9uV29RoNDeRMHhEBOXRon2nOy6lTIUpKoH/xBdoLChBlscCZk4Pak0+GK4yssBw5EkhMpK55v36UnDQ3U6d1ypTevygvD/oNN4Bv2ABZVkZQqPHjaV8OESbBnm3bRvyhqChKXjweghR5PBC/+c3Ru0arKpqvuAKlNhuSq6qQkZEBOWYMxKRJoW7DBQXQrVaoDgclrF4vJUcGJl2/8EIgMxNyxgzwN96ANCAbyMwEiospoerqAissBNLTSSzAvGHX10N5/HFyJs/Npd83N4Nv3074ZPNhCgAWC9ovvBDOESOgPP88WF0d1Fdfhfz0U4jzzyconpTgH3wAvmoVpCESob73Hk00kpMhY2IgxoyBdsMNPWE8LS1Qn34ajHOIgQPBqqoomfJ6of32t9DDQP2k6XXT0kJFDed+wmt3fpEcMgT6mDHkc5KaSrjwxkaCH15+OXEMPB6aRBgcH/nWWzTVsFpJxtjhoMnTvn1QPv0U+hVXhH6HlCjr6sK+7GyMPOMMJO3bB8urr0KkptKEQkrosbFQysqgvvoqXJMngyuK35CS1dbCYmDcZWYmrXNNo3NqdGPNiZbvoougz5gB2x/+QLK/5oPa54NkDOry5ZB//SuRdM87j5zeFy6kz7TZoOfkkDdMZyd4bS0VFV1dsLz4Itj+/aQk5nSSTLWqQkZH0/foOljQA58ZSoW+yy+H5aWXqFscGUn/N/hmIUVmTAy5dF92Ge2n0clmzc1QFy2iyYzdTkXXvn0Qw4cH5Hrb22F94gmoK1YQj8Zuhz5tGjx33BEKS4qKAl+1CtZnnvEXIKymBtZnngGrqYHvD3+gJf3f/9JrOjtpOxkDa2yE5bPPwCsq4PnLX6hQCuJx8F27YHnhBfCtW8nhfNcuOlcxMXRtut3QTj89bEHu+93vIBMTYXnvPSr4hw2DdsklNBHqvrazs+F59lmCHLW2QuTlhefcKAp8V19NRUtJCV0PgwejH+foh0B3urGxEfsnTUJuRwfSdu6ErasLSkoK9F/8IsRc0L+v5vZ356sdjhz9/0fhFxQIJ03eW6gqPPfeC/vNN1OTxwgZHw/v3XeHEOL1uXPhra2lNVNdTZy43Fx47rknMCm2WKDPnQv11VdpHRnr35yI60FqknznTtjuvJOKn5gYsIYGWP/v/4jbcvfdh4W8OCRnpbfze7Dp5DEOzjni4uL8qqAej8e/risrKyGlRFxcnH/qYu9FpvpnzsrRxc/FSh/H8WoMyTmHrutYu3YtnE5nn5hg9tV2hZ2sCAH+9tvgH38cOk34/e8PK9E/ZCgKKubMQRmAAbqOlPR06CNHwi0lRBAp1B9padAvvRTKW28RRAkgcu7cuZDhZIG7vVeYsrWHG0JAqaxE/ObN4Pv3UzI8fTrdqB0OyEGDwPfuhdyzp3dp5kNETU0NduzYgbx585CWlwfZ20MmNRVKQwOpQHFOCZKRWMlZsyCMhFm/6CKw9etJAcxupyQ3JgZyyhSSTs7IoMIuqBjka9eSHPOAAYGHUHw8OZYvWhQikc0Yg1JWBuWf/6SO68CB9GCsrYXy6qtEQE9LA1u/HiI9HcLphLJ0KRVKnEM4nZBJSVDWrAGio6HdfHPIbvKNG0kCdPhwv9My3G5SVouNDf+QTEwkCdy2NvLREYIgK05nTxU6zqHddBPxWzZu9EPLtHPPhX7++T0UsQDiqMiYGIJncO6HRLHOTvBNmwLFipSQe/agctkydHq9mHjeeXAmJYEtXkyTpqgov2eL9HoBIWBdvhziL3+BdsIJ8M2YAVgssOzbR9ebqtKx9XqJY9LRQc7wMTFw33UXyTDb7eA7doQmEF1d/uQWug6+YQOse/ZAW7AA+ty5EN98AxEfT+IFRrLCPB5KriIioL77LnWHx4whonxLCxH7rVboo0fTRMfjIf5NtxATJ0J+/TXdK4xCkdXV0Xu7EfgB0DmKigLfvBnK2rXEmYiNBTdU0ABApKdDu+QSf9ffunAh1E8/pXOckUFd76VLYQPgeeyxwGf7fLAYhbtpyIn4eKChAerixdDOPx8yORmW114jKWdjomjC4+D1glVWQv3wQ3jHjaN9YYwSw8cfBztwgBS9vF4oRUXURHE6qQgcOxbeq67qub8ATX4uugjahRdSYWO1Hjy5ZAziMO+3MiEhANkJiuDutD5iBFomTcK+/fvRXl6ONrsd0cnJSKisRHx8PCIjI/3Juxg1iqYvDQ0B2JrbDeZyQQuGRB1msH37YH3xRfBt2yAzMuD71a8CSmV9GV4vma+uWgVYLAEj016SVHPKoM2dC8uLL/r5OQCoiLVYaJrX/X2TJ6Pr7behfvop+P79EFlZ0ObPD6w3MxiD7/LL4Zs/H8rOnZB2O8SYMT0UvrxXXglWVARl69aAqEl8PLy33x4yvVbfeAOsro5ENYy1I1tayNdowYKQqU64kFIeUgFNHzUKakwMwZ7Npo/HA9beTupkx0HYbDakpaUhLS0NUkq/PHJ1dTWKi4vhcDj8U5eYmBh/Y/ZYwcA6Ozt/9ObzsYyfVLHyQ8HAjsdipaGhAUIIZGRkoH///seNNGRvx4t98w34K69QR3TgQMLo79oFPPEE9Kee+l5qMEII7N69G5WVlRh1+ulISkryQz94VVWvsDQ5bRq0QYOIo+Lz0SQgL6/PzbX4kiXgjz2G2O3bMcntBjfgSPLAAYjTTyczOouFkkfTC+QIQkqJkpIS7Nu3D6NGjULKQRTDAEC/9FLgT3+iDn9MDKTVSkpNKSnQ7rsvMPrPyoK2cCH4J58QTycqCnLOHIjTTut9ItbWRsevu5KX3U6qNEFdVc45bOvXE0dm6NDAcU9LA4qLwZcvh5g5kwqZ6GiaylVXE8xK1wmbP2AARFoa+IYNJJUc1ClmtbW0DsxEwWYjVTmHA8qSJeTOHRlJE58xYyiRGz0ayvLllDxPmEAPebeblItGjzYPOPjq1VC+/hpoboYcNQq+u+8mo8W0tPBrubkZ6ssvg69bR9stBPE0go0tzQeT1wv2zDPwfvwxUjs7kRsVBbZ+PRVj5mebCZDXC15SQsfQZoN182ZYt2yBr6gI7uuuI6WrqChwkAIar631SywzKSFsNjI97NcPYvJkIt+npVHBmZMDVl1NxSznkHFxxItqbIS6eDE848cTD2LbNoiICDq+Lhd4XR1NAjQNbP9+mp6oKsTQoWDr1pHktMfjd4TXzjorRHTADDF0KLQLLoD60Uc0xQOoKF2wACKcSamUsD71FNS33qJ9NM69GD0avnPOAeLiiJhvdFJZXR3Ur7+mwtGcysXEQEpJhnelpf5EkdXUEDSuW/IuExJIAW3vXghjmuNf+2bypihUSKgqlKIiUiMzuu7KmjVUqAwaRB3yUaMg09MpAe/XjyYcc+eG8liEIAW4rVvJlHTIEOhTphz9RPZ7hKIoSEhIIM+mceNCpi6lpaWwWCzw+XxobW2Fc8AA8LPOguWjj0iQwYA66RMmBOBLhxl80yY4zjmHkn+juFbffReehx+G7ze/6bsd7OqC/aqryKjVMHW1vP02fAsWwPP3v/e4z5nPGs45fL/+NZTVq8H37g28QFGomRHGOwUAeRjdcMPhbVt8fNiiJ/jvnn/+k7ahuBgyOpqEMoKvNZ8PyrZtocR+gO4zDQ2k9naIYsXc54Ml7bJfP2jnnw/17bcJDsgYCaaMH0/3iuMsGGOIjo5GdHQ0cnNz4fP50NzcjMbGRhQVFcHn8yEuLg4+nw8ej6fPvfi8Xi90Xf+ZYP9zHH4cb5wVIQSKi4tRWVkJAMjNzT1uChWg98kKX7yYuspmF97hIIf2PXsgNmyAPOWUo/o+r9eLbdu2wePxYMqUKT3GpuYEqtdITIQ88cQj/2IpaTqiKCGSuN2DrVoF9cYbgfp6mkxwTuaObW3EffnqK4gLLvAnM0eqiGPKVLe2th42DFBccQUqVqxAvzVriDTMOcnbPvEE0F2VJT0d4ne/g/jd7w5re2ReHh2Tzs4AVKezkzxLUlPBn3gCcvJkyGnTqLPc1kav6baGpc1GuHqLBVJKCE0jI01NI/lbny+QKBhYfdbREQpriYvrYbKIri6STfX5ILdtAwCob70F3/XXQ7/qKshRo6CfdRYZRTY00HtiYqCffTZxc0CcH+XFF2mCoKrAqlXgeXnw9VZ0axosf/mLXxWNNTXRfnd1AdnZVLjYbNCNhE3/8EOIN9+EiIuDY9AgUmUrK4P6xBPwPvww1NRUvywtq6+nqYeqQg4ZAjlkCNDSAuvy5cDJJ5Ok8sCBVPzt308QJrud4GmRkdDHjAFvbIT61VfwTp4MRESQCd5TT5Hsc3U1rduoKOiG27xMSgIrLATft4/c1B9/HLykhAo7iwXapEnwXXUVrekgOIzMzYXOGHhhIU1IYmPhW7AgBDIUEoxBmzULwiTz2+0QQ4aEd+uWEsqnn0J9+WXyMTJf09EBJT8f2vz50Loldqy+ngrh7hypqCgiyNfVQTeKFRkVRUW9YXzoD8OZXkZFkWBDZGSAJ2AW5oYSHBjzC3OYyQ2rq6PXmmvZUNwSgwZB5uT07DoLAfW112D57DOaFDIGLF4MfcIEeG+5Jaz/0g8ZIVMXXUdLSwt27NiByspK7Nu3DzHDhyMzMRGJJSWwSQkxdChBko4E7iIlSfJ2dtJxM/yuoGmw3XcftHPOCREc+D5heeMNqKtX0wTUZqMCuKsLlo8/hjZvHvRuibZZhHLjnup+6y2o77wTkC4+/XSC6P1QJpk2W8DDJ1xwThNAQ43PH6by5WEUwObz9aAwMMZIgWzYMOKvdXVBDBxIRfb/B1Ani8WC5ORkJCcn+8nvjY2NaGxsREFBAWw2m3/qEhcX973lkTs6OgDg52LlfykYYz3Jin0Yx9NkxePxYOvWrdA0DZMnT8aaNWuOKcHraKK34oDV1BBHIzhUlZSJmppwNGewvb0dW7ZsQXR0NMaOHRv2BnEwP5qjjpIS8CVLCM/NOTnKz5vXM9EHoDz/PHEeAMBqhZASCkCGXppGilC7doHpOuSoUQSf6h5CkBSu203FgJEQd3V1YcuWLVBVFVOnTj18cypFwZ6rrkL0rbcidu9eSu5OOOHwHxqaBrS2UpHQ7WEmDc8Sv1yxlLTtAERqKk3Tdu6EOHAAbMgQ+DIz6YFpOtGb+9vZCX3oUGj9+0NNSCDp14QESrRbW+m7jAkSa2ggJahuEyV9wgTwzz8H272bElxFAV+1Cqy9HaJ/f38xw+rrYXnuOYiZMyEHDoRudO7N7ZaDB1M3kjGw0lIohumhjImhhFFK8OJiqC+9BN8DD/Q4XHzzZpLJzsqiIt0QJoDbTVK6aWnQLrsM4sQT0dLSAvHGG4ix2+HIzYWZksvYWLBdu6B+8AF8f/wjLE88EVAukxIiOzvgjRIbC1RVgRcUQJ5+OhSjmIEQfh8WGRMD36RJEIYvhiwvh67r1PiYMweexESoixaBvfeeH2biLwTN+y3nkHl58Dz1FJQtW8CamiDS0giSYiSQIi8PyvbtECaxPyMDqKiAyMyE589/7gEB9d/L3W5YXnuNFME6OmiicuaZ0GfP7lGosOpqWP79b6gffgheXe33RJEJCaRG19QE5euvAy7tbjc5yxt4f9beTuvKjLY2goQGc93i4qCfeCLUDz8ksQlD/p2XlxM5eswYKtQuvBCWf/yD3mMWs14vJbt2O7R58wJCA8FSwMEFtZRgLhf0MHLlvLCQ5I1jYwMQrZYWqF98AdbSAu3886FPmBAWgojOTlg++ADK0qVgbjeZG55/fijhvQ/DnLooioJRo0ZBVVWC1VgsKIyMhMVioamMy4U4m+2wEzxWUUFwxWAejKmY5fFAWboU2qWX9sk+qJ9/Tus9mGgeEQG4XFAXLepRrJjPGrOBKBMTiU91/fV9sj19HooC7dRTYXnxRUiXi+7ppnBKYmKoYlkvETxNOmgwBjF8eJ+qkP0YwRhDZGQkIiIisHfvXkyePBldXV1obGxESUkJurq6EBMT4y9ejkYeucPw1zqWhpY/dvzkipVjHcdLsdLc3IytW7ciPj4eI0aM8N8YjodtC47eigM5YAAlsMEkZbfb39UPG0KAffst+IoVQH09JY2nngo5aFCAn5GXh7y8vF5vBoetTtbdMb23qKyE8sILBDFKSyMc/8qVYFVV0G+4IdTrAeTnIq1WwuabXWZVDRgmer00EZg3D+KUU3rAq9iePeALF4Lv3k1QtYQEiPPPR+OcOcjfuhUpKSkYOnRo6INCCPLT6eykJD0M7pwxBi07m5Ks1lZ6vdVKvIzekgYpwdasAV+0iDrdDgfEzJkQZ54ZUB6yWKDfdx/k66+Df/MNTVScTohZs4CsLCpKm5rAVq+GPSYGrokTITZsAN+5k5IvRQHq6iAyM+GbM4f2d8ECKB9/DHbgAKTTSZKwiYl0XPftA3w+grZ1L7ZSUqBddx3U116jokDTCC8fHx9wlzcSRnbgAPjq1aRmxRi5jick0PQjPj4AXdu0Cay1lTrotbX0eyGI6/Dee8TjmDgxBD9ubiMiI6ngdDhoGtfRATgc8CxcCHnCCaiprUVhQQFOFAKO+Hg6Vl4v2O7dpNTW1gZ88glYfT28f/0reF0d8X06O0kwIpjADACKAuWrr0g2eeZMmn7s2EHnOT0dLDsbnDHw9nb4hgwJuZfwESOgjRoFa24uLO+9F3BxlxKsspLOi+nPFBERQtgNWmTQzj4brLGRPGva20lO1ecDoqNhv/566GecAe+NN/rXPXO7kfrBB3B89BF4TQ1kTAz0vDyw9nZYXngB0DT4rrkm8B0eDylcbd9O15NBwGeVlTQFioujgsSYdvDiYlieeQa8rIyK7q4ugm5JSTLAHR1Aayu0s8+G7FYseH/9a7Dqaij5+UB1NSVfAwbAe9dd/u33/v73QFMTEd6bmqhgsdsh+veHdsYZ/imSWZTp06dD/eQT8OJigh4qCk2znM6w3XBeUECqSkaBwWpqoKxbB9baClZVRSpTkyeTj0fwlM/rhe2++6CsXElTS1WF+vbbUNatg/upp3q4sbMDB0hNzfD00WbP7smdOMwwp0gRERHIzMwMmbp0T/BMSFlkZGTvCd6hnnl92ZzyeMJPQaQkoYgeX32YiXtv0dlJfCuXC/ro0T3Oy7EI38UXk7Twxo1+botMSID35psPa0Ll95U5jhAeP0SY59pqtcLhcBAUEtRENOWR9+/fD855iDzy4TQVXS7X9/aAOd7j52Klj+PHJthLKVFeXo7i4mIMGjQI2dnZ/gV8vBRSwcE5DwubE2eeCbZtG7nMp6RQElZTQx3bSZPCf9a774K//TYlXw4HOcRv3Ih955+P3XY7Ro8ejeTuajZ1dWBbt/rVj3h2du/FipRga9eShHBtLRHGZ82CDEfeNbdp40aguhpy+HD/Q0zGxYHt2gW2bRtkkEQwQN1/ZhKcDWM1PzwkOhoyKQn6nXcSj6d7tLVBefhhsL17qStvtQJ1ddD+8Q+U7d+P/hdcELIeAAD790N59lkSDfB6gbg4iDPOCFXsglHE6Tr4Z5+R6EFDA00L8vIgrrkGcvDgHpvDvvsOyr//TaTzxERSfXr7baC+HuK66wLJckwMxPXXQ1x9NZQ//pH2N1iSOTISrKAAzh07oI8YAf2ee4C33gJbuxbQdeizZsF3wQWQxr7JCROgZWeTuVpnJ8GTVq4kZ/q0NOjXXAMxd274UzxyJHwPPkjb/u234Fu2+JNUdOtaMZ+P/tHSAvXNN6lI9nrJvf2CC0hUgDEihoLM76BpYLW1lOS2t8Ny//0QY8fCd+utgDHpkabXQWcn7UNHByW3hgKbsnw59iYlobSmBiNHjYJ9wgRg2TIgJYV4HYbCmIyKghwyBKyiAuqHH8J3333U4f3XvyDdbv+Ui9XVQTqdEEOGQH37bciUFMiUFOjp6VC6uqjIamkhaV2Ph47DqafCarX6vWvM//STTwaKi6EWFBCJVkrI2Fj4zjuPjN5eegmsrAwyKQna3LkEOQs+/nl58N1yC/iqVbA9+ijB+gYPhoyKAmtqgvreexAZGSRbKwRSH34YkcuXg3d20iSrpQXqzp3QJ06E5Bzq55/TdxvFprJ5M3hREURuLkGqamvp2BpCAjIqCsznI+K1ywXL00+TIlhuLimyJSaCb9tGnkc+H00/zj+fCqjukZAAz1NP0aTswAHI+HiCsXQz1vQ+9BB8v/0t+LZt1NRITSVY14ABAQKzkcDLpCSSXn7+eRIC0HWIhASIESPAKivBUlJCvYBM3w2AyPjr15MXTUQEKabFxUFZvRrWF16A11AoAwBl7Vooa9ZApKUFTHCTk8FLS2F5/314b73V/1qenw/bX/8a8BvSNKiffw7vnXceVqe9e/jVsYIihOsC+DvTjY2N2LdvX2DqEgyraWyEumYNWEEBKeiZvBfzsw0el34YJsKHG/rJJ1OBHUyS9/lIXCMcSb7bZOVIQlmzBrZ77/VLvsuoKFqLt9/es5HW1gZ12TJCLGRkQJs1q0ej7LAjJgaexx+Hsm4d+cJERUGfMYOmoIcRx1IR63iO3uBvERERyMjIQEZGBoQQaGtrQ2NjI8rLy1FYWAin0+kvXqKjo8MWth0dHXA4HD8XK/9L8b8MA9N1HQUFBWhsbMSECRP8EnvHw7b1FoqiwBum4yQnToR+yy3g775L0CeLBWLePFI/CiMJiOpq8M8/J3y4MXkRaWno3LQJyocfYsrTTyOq+xRj40YoL74I1NT4Sd5Rw4eDT5gQdlvZV19BefPNQFd1+3ZKfFyu3nksZWX0sA++wRgPMWYY7gWHuOgiqCZp3esFN8+XoYgkzj03fKECEBm5pISSHIO70ep0glVXY8S+fbB077q53VCefJLIyNnZdFzr68Fff91ftJjBOYdl40bwl18mLHb//tSR3rUL/OmnoT/0UKgUsK6DL15MECJze2NjIR0O8A0bCAbXv3/o9thsNEFobKSfpQTLzwfbsgWspQVZRUVwb9sGPPYY9D/8AbKzE7rXC+FwgCtKqCN9cjJEcjJ1j99/H7yiAqyrC9zjAb75hpzlzWlJ9+O4ezcs//wnrTspaUrR1UVqY7GxBPux2ch1XdNg+dvfwL/91g874wUFYI89Bu3uu2lqYjqBR0URZ8SYmpnQHL5lC9SXXoJ25520BqZOpcK5oIDkcaOj/RwlMXw4XN9+i46EBEy84go4nU5ov/gFrPn5VAAbimTo6CAJ5MxMKpD27QMrLoY+bx741q1URJuKP0aSI7OzaRpnJtNWK/QZM0glrbQUsrYWcsAA6OecA0yZAsUwwQUoAdF1HSI+Hl033QRl82Yo5eU0TRszBszrRcTVV5NIAQAmJSzvvQfPvfcSVCsoZEICmMVCsDBTmc34PTo7oX72GbQLLwTfuBGR330HYbPRBMo05ezqAt+7F/rIkaQoVl0NYZxrVlPj9/KR6emQBw5QkSIEKdCVl0MMHgzt3HOhbN1KKkt5ef7Jl58f4nTC94c/QKalhXaTpQTftAnK8uX0WVlZ0E86ibgkB0kkZFYW9DCiASHr0ni/GDYMnieeACsthbpsGfEkNm6kz4mJge/qq8k0z1TyMjgGrLWVeBsOBx2vmBi6N0VGQlm8GLjuOv+9lRcW9jTBVRTIyEgSpzBD12H9179IHcpU55OSipp//YvMPQ/TeyNwCA9NPg43dWlqavJPXRJ1HQM//hjO8nIoUVEQ2dlQGhqocAD892PvbbcddpJ9OOG74gqon31G1wvnYIY3lz5uHLRf/CLsvoaY1DY2wvLFFyTdnZ5O6l5h5KJZXR1sd9xBQifJyXSPaW0lmfKcHGgXX+x/Ld+1C7bbbycOmhGW3Fy4n3wyPIz4cMJigT5zJvQwPk2HikPKFv+PhgmbPai/DOeIjY1FbGws+vfvD6/X6xeg2LFjB4QQiI+PR3x8PDjnfo+8/3XZYuAnWKwc61AUBR6P5wf/XpfLha1bt4JzjqlTp4bV+P6xDBgPFgcroOSJJxJcpLqaHqIHGTGzkhLyPTEw7T6vFw0HDiC2rQ39VqyA/O1vIRYsgFiwgDqpra1QXn2V1JmGDaOHl8sF66ZNSPT5gDPPDP2C9nbwRYsIq24kFTI1FWzfPvDFi0mtJVwRlZRE0K6QHSMSdzgzSfGrX0EvLYXyzjvUke/qou7y6NEQv/51iJRvj2PQ0EDJgsUCIQSampqg6zoS09OhNDRA625omZ8Ptns3FQ3mtqenA6WlYIsWAaedFpCXZQzWb7+l4sNMqiwWyEGDwIqLwTZtChU9aG+nLl53SJnBj2A1NVTwhOwAg5w6FfzNNyE7O8HKysDXrKEEOioKmtMJx8aNUG65Bb433oBus0FYLL070ksJ9cEHoWzaRMRxg1ivLFtGksF33x3+Pf/5D0GXBg2CzMggmWHDtBEJCaRKc/bZEGPHgm/ZQvySfv0CHejYWLDdu6F89BF8Dz0Effp0KCtWUOe7vZ32MyqKklyrFSI9HcqqVX7OjszNhe+662C95RbyeWltpdf174/qxEQ4ysowzGYDN9aPHDMGvnvvhfLyy5R0WiyQAwdCjBgRcLrWdb+Bqe+ee8C/+44Uf2w2iPHjSf5aSsisLLDCQoJDASTvO2QI9OxsaFddBTl6dFgSrbJrF6xLlpCaV1YWtFNPhW/WLAghIIVA5PXXgx04AD0nB6yjA6yxEWzvXthuvhnuF14gb5/gMAm8QdwZqao0MW1spAlTfj6YpkF3OkkVz1B5kqZhaXs7+TMFiVDIxET/tAs2G/RJk8D37SO57YgI+H79a/guvpgSwC1b6DO7wzAcDjCfj3hM3RIEZflyWF54wX+s1Q0boGzbBt/VV3+vDn6PBpuigAlBUrcul9/nhjU2wvqPf0Dk5kKfPRti1Chos2dDXbKElNq8XpIoj4kJOMYbQgDo6grcB3oxwe1ewLDSUrDSUprABPFBRHo6WHk5wdWOUFr9SJWSgqcuAwcORFdXF3wvvACluBgVaWngFgvsQ4fCGRMDx+7dBGvMy4Pvyiv7XFlKJiWh6/33YXnhBahffQWhqtDOOIMMPsPwCYKnSLygAPbf/Ia4UUZYnn8e7meeoaZH8D4vWUJFdrC/UVwckfnffz9QrAgB61//StPBrCy6nnw+sJIS2B5+GO4XXuhzNctDxaEMIf9X42j4wlarFampqUhNTYWUEh0dHWhsbERNTQ0WLFiA6OhozJgxA0lJSYiIiPhRJisejweTJ0/Gtm3bkJ+fjzFjxhyT7/m5WOnj+DGmFw0NDdi2bRvS0tIwZMiQXm8Ex+Nk5ZAFlKr6i4ODhtVKN21Ng8vnQ3N5OdK2bYOltZXgIWvWgK9bB33tWuhPPAG2cydQVUWcC/N4ORyQcXGIM6SJg/kgrKqKiP3dphMyOZmgJDU1QBjiqRw3DnLdOuDAAYI26Tp1zVJSiDfQPRQF+gMPQL/8cvDNm5G/axcGXHwxInNze+eGmN+VkkKa+i4XGtvboaoqkpKToezeTYlrd6JxUxMR9bsXWU4nJYQeTwAqxBiUmhqCMgWHOSVqaQktyAyYCdraQhXL3G46rr0ooolZs4B9+4jrsWYNqVDFxACpqdA5hy8yEmpxMbByJcTs2b0XKgApUG3fHgJlQXQ0pNcLZflyaL/5TY8CmFVUgO/aRYmcxwNERUFMngxWUgJWXQ0xaBD0X/2KfEY4BztwgKYeXV3Ee9B1mpg4nVRAaxr0yy+nScH+/eDbtwNJSUTqVlXislRWgpWU0HQmMRHIz4fMzoZ+5plQvv0WMi0NPqcTtR4PLKqKGKcTutOJ4CtZTJgAMXYs5F/+QkXIsGGB811fT5Myk1Nht0OcfDJE9+SZMeinnAK1ogIsPx+8upq4O0JQMWGaxfl8AR8WAHz1algee4wKDJsNfNMmqMuXQ7n9dogTT4Q8cABqYSFkYiJYUxN4ZaW/sOC1tbDddRe8Dz1EECkjZL9+lJCXl4ObRqTGdaoZnhXmWhQWCx3HtjZag4aPA2tsJC5JkJCCPnEixIABdI4zM2lKaBRk3ltugX7aaYFtyMqi/W1rC1mvrKmJZKm7J59dXVA/+ogmQgYsUoI4SOrHHxMk6ijlgsMl8MrixWBtbXReTbiYwadSP/mEJlacw3fNNRAjR0L5/HNYGhrI+8iQh4aUYC0tEOPGhUwa9enTibtVU0OwMkMpjfl88B2OEmN3PpQZHg+UZctI6tnjoYnDqaf67xHB6lhHGxF2O2JLSoDsbDjS0+HxeNDV1YWG+Hg4kpJQd+65YPPnE9cFQF+ndzI5Gd677iJu0iHCn7gLAds995AJozkpEQKstha2P/0JXYsWhdz/eWOjX8435Lvtdpoemq8rLKSCMTk58H6LBTIxEXznToIM9zKpP1bxc7FydMEYg9PphNPpRL9+/bBt2zYsWrQIS5cuxcsvv4z29nbMmzcPc+fOxdy5czF06NAfpHj54x//iPT0dGwz1DKPVfzkVsyxPnk/ZEEgpURpaSny8/MxZMgQDBs27KA3geOxWOmrbZLDh0NmZqKroAANdXVIaWiApb2dEsKkJMisLEinE8rnn4N9+y0lP+GckK1W6uJ249FIu50kcLtPzTweSr57SULk0KE0DbHbaQJRUgKZkgLxy1+GVQPzR//+EBdcgIbp06GnpPhVglBaCpSUUBe0+3dNmYKunBy4t21DlNeLBLsdSlkZEBEBMX9+z9enpNA+mdKpRrCWFkpmgooYzjl8WVlE2g5OQAwIXw+ogs0GceKJBD0x/VJcLtr/gQNJMjdcREZC/Pa30H//e4LqJCdTERgdTbwPAx6E8nIoZWUElTLljLsFa272ywWzmhrqoFdWBngk3eU3AaCxEayqCry4GHzbNuIRuFwk8ztgALQ//xn6eef5C1lpFHZ8505yYG9ooPfu3UvJrMUCMWoU9BNPJCdyo0MGzgPqZHv20KRl7FjIvDzIYcPADxyg1yQlwWu3o9rlQkREBFI0jTg+Y8f23HZFgX7uuUBcHFhRERXYe/eCtbRAP/lk2s7vvqNJZS8hR4yA9qtfgVdWkoiCxQKZkgK+Zw+sV14J22mnwT51Kmzz5xMk0u2G+t//Euxs0CDIfv2oAdDRAfXFF8kfSQhwUFLITZGByEhIm82//vgbb0Bzu/2NC33SJIikJCh799L5NaBtrKOD+BYA9JNOgoiKgqW5GTI5mc6Fz0fTg9hYaKecAu9vfxu6gxER8N5xB6m3NTeTCIPdDt9VV0HvxmMSQ4fS5KWiwt+s4Hv2QEZEQB85EsqKFSRkYVwPrKKCut3B13VTE1htLZRly2B94AFar0cZ3Z9dvL7e/EPoObRaQ7rzUFXo06fD+/DD8F14IUlb19XReigrA5xO+K64IuRzxKBB8F17LcA5+N699F9jI7TZs6EtWBD4rn79ILOzwWtqAvcFKcGrqiDT0/1FGwBA02D9+99hfeopKIZIhuU//4Ht/vv90E+zWPnez2kz2ecc9ogIxMXHIz09HbGxsYiJi0Nrays2bdqE7777DkVFRairq/tRLAdMGBjfvRu8qIgaM0G+OzIuDvzAAfD8/JD3CVO8IBhCLSWpIppCFgDd2zWtp8+VxULwUJer+wZRw6a4OOwzpi/ip8xZ6cv9jo+Px6WXXopXXnkF999/PyZPnozTTjsNX331FSZMmICcnBxce+21+OCDD9AS7lnXB2EWS0888cQx+fzg+Hmy0sfxQxHsNU3Djh070NbWhsmTJyP6IN4dZhyPxUpfQdM0mw3FM2ciobwcmW1tsJSUUIITHR3o7DudkK2t4GvWQL/4YiIYNjQEuutSgjc0oD0rC8k2W2jHLTsbGDIEbPNm6kQZOHlWWUlGhAcxVpQnnAB9zBjqUhvyrYfbYTWPD9uzB2zRIpKwlZKSszlzII2kVUqJsro6VJx6KiZERyOqtNQPExAXXwwZRn1Jjh4NOWoU+IYNpFRmtwO1tZAdHcRfCDo2jDG4Zs5EzJ49lFynphKcoKqKCsVgnk9lJbhB5BVjxpCqVE0NwS9GjoR+9dWhD09TuGDxYqCqChgwAOKMMyAHDw6ojtFGQHO5oHu9UL7+Gupnn1FiGh8PfcEC4lIEFesyJwfSYiHZWV2HZIww5EJA5ub2VJXzeqF8/DEVoF1dBKtwuSjhj46G6NcvoGhlfkdMDElKezwEMTI8Y1hTE8EuDGEEff58sCFDCL60YgW9Tkrit/h85LBuHhPOiW/j86Fp8mToS5cihTHY2ttJEvfCC8MKGpjn1HfjjVCWL6fzlJEBMXgwlKVLoT71FB2vqCjoZ58N7YYbekKcYPA6XC6IyZMDfIOyMlJgczgI/lhSAstf/wq+YwdB5rrBgGR6OiXve/ZADhsG0b8/Tcu8Xj8nhpnKV7m54OXlYNXV0Az+APP5YE1KgkhNpYRKCMjkZIj0dPCqKlKdyspC3fXXI/Hpp8kDhXPIqCiItDRoZ54J2a8feFkZmdQFJQkyNxeexx+ngtJUyurG74OmgRcVQZszByI1FeqqVYDbTcT8+npYn33WL7qgT5kCz5/+RMfSgNkgIgKsspII7UYzQP3qKyhbt8J7++09IGGsrAzKqlWkaBYXBzFsGPRJkwJFcRiepTAJ+MHKhFKCeTw0Se1xYhm8d98NmZsL9dNPyQ18yhRov/pVWHU27aKLoI8fD3XtWtr3kSNpm4ITLosF3muvhe2hh4hsbbPROY6LIxW24IbH5s1QVqyASE0NTKq8XvAdO6AuWQLtkku+F+E8eD/1qVOhvvEGCUkY28Cqq8ESExF/4omIy8yEEMKvMFZaWoqCgoLDVxjro/DDwLq6/NPGkFAUmsa73SG/1ubMgWXIEJIbN6a0puqgdtllgc8fPJgEXZqbQyaMrKmJFPqCoLisooIKyS1bCHqblATfZZcR16YPj8NPlbNyLIs0l8uFlJQU3HTTTbjpppvgdruxevVqLF68GPfeey+uv/56VFdX9+l6rq2txa9//Wt8/PHHP4hk8s/FSh/HD1EQdHR0ID8/H3a7/Yj8Mo7XYuX7blNnZyfy8/NhGzgQef/+N6ls3XknYf0zMkL8CADQAyAnh2BEn31GvBWHg27oaWmomTgR/brfUBmDfvHFUDo7KYE2u+OjRh2UR+KP6OjwsK9DBGMMsr4e7P33AzA0zgk69PHH0GNiIPr1Q0FBARoaGjD2jDMQcckl0CoqyJDOhLKEC4sF+m23AS+9BLZhA3FJKirAALD//hfK++9D/+UvIa69FpxzeIYMgX7DDeAffEBFk6pCzpoVIgPMP/4Y/Nln/fKuiIwkueLTTyeCfRipY/7xx1CM5E86HDQV+PZbyClT6FjX1gKxsbBrGmRDAzRNg6u4GCIzE9b4eES0t0N98UXI6GiIIGdrmZkJGRtL3fDISEomvV5K5my2HhAKvnMneFER9GnTSJazrY2SgM5OSEWBdvXVPUz0eE0NFZ8NDTSpMTwWZL9+ocfd4YAcPRrayJEQX31FEJ76eoIkxcf3hGIIgZaODmyeNQujTzwRal0dNEWBHDEirHs7vF7wDRsIAmaxQJ89G/J3vyMC9FVXkcN5aipB/hobof773+D5+RDTp0OMG0eYeON48D17wKQkyVrAT9AHY2CGvK+MiwNraIDyxRfEb+necDBVqAzJbe2GG2C94Qb/lI0Zktxi6FBwVQUsFlgiI8FUFVJKyJoaoKMDvokTCdqi62B2Oxjn4Lt2UZGclYW2efNQl52N4QcOkBxvTQ2JKmzaBGzcCEREQJszB9ovfxm67jgP+MzoOjUDpITo3x/KkiWw3XcfSQIzBpGbC88DD0AfNSqQlKem0mS0vR3KN9/A6nDAe++9EIMHE4epf3/y9jBgjzI+nva1rAyW//6X1MbsdqC9HbZ774X68cd+w1MZFUUO3iefDO8f/0i8mzAwMO3MM8nhu6yMzgnn4E1NkPHx0C64oOcaAYiXc801ZMKpaWGL1eCQOTkQNTVUaKxeDbS0EJwtCDImJk+G+8knoS5dSkpvmZnQTz2VyP1BoRQU0CQguLFmtQIOB5T166FdckmfTVa0OXPAd+0i5TYpwQyOoO/88wn+B/glYuPj4/1cl8bGRjQ1NfkVxoIlZI/IuE9Kun9ERh4UvmtCosSQIQSTrKsLmVKz1lbI2Fjo3Z8dDgfc//gHrI8/DuXbbwGPB2LwYHh/97tQ0ntsLLTLL4dl4UKCrEZGUvGsqrQGzPuZ2w3bXXdRQyIpicRA6upgffJJMoPtRT3xcI8FO3CA9i0pyc8z/KnFsSzSTOliM+x2O0455RSccsopePLJJ9HS0tKnhYqUEldccQV++9vfYsKECSgrK+uzz+4tfnLFyg8BAzuW42TTLyQnJwcDBw48YiLij1astLeDbdxIMI7cXHL3NtSEvs9kpb6+Htu2bUNmZiYGDRpEN/6MDLCiIijPPENwLvOB3NZGROUTTqAk5JJLILOyiMTd1AQxfTr0k05C55494bcpIwP6HXeAFRQQmT8hgSSJD9dc8SiCcw6luJgkTYN4CLJfP7DCQuj5+dhYVwchRKiwgulRcqhITIR+++3A7t2w/OY3lFhlZFBHt7ERynPPkSSu0YmUU6fSFKC6mrruSUn+bWK7d4M/8wzB6Myub1MT+DffQE6dCjFtWs/vb2kBf/11Iv2aOH8pCUu9fz/03/0O/M03gdpaqAahHx0dwIAB6BICnW43mhUF0Q0NEG+/De/EiYiJjaXroqEBiI6GGDKEZFWNjrc+bBgVIcXF/skUAKCujhK47Gzo0dHg+/YBLS2QUkJkZpKvTfcwyMr65Mk0kfD5KJFvauoJvaATCjF3LhVVPh8RYp98kiYFubm0/14v2nfvRmt8PGauWgV7ayuZo51+evhCxeWC5bHHiPNiqB3Jd9+F/qtfkapYURGd04gISsxbW8Gam6EYUqbKF19AP/NMaAbsRzqdlDQaUyi2bx9JLQvh5+cgIoKEBGpqgNhYKh4GDKCCRwiatgwb5i/CxNSp8Lz4Iqy/+Q39LSWFJhrx8WC7d0M/8USw1FRYTMWr+HhwhwOyq+a/0ogAAQAASURBVAsiJoYKGICI9DYb9MhIUvAC4MnIgG/ePPD162F9+mnq3JueIS0tUJcupeMXRmKcb9gA61NPkQwwSFZcKSgg7pEx/eS7d8N+7bXo+s9/oGzaRMmkKY5hTNaUVavA6urgu+wyWFtbaZpXW0tTQaeT9pVziLQ0P8xQjB4N28MPQ/3oI5oeGcUhc7mA+nooK1dCHTMG2tlnG0utG9wrMRHuZ56B9e9/h7JpE4kNjB8P7w039CgUwq3DQ963NA2WV16BsnIlvV5VwbdsgbJ5M7zXXx8yjZIDB8J3KO6DqobnhwjRY4L0vZ/TMTHw3nILHZd9+wgKO3p0oEANE8EKY71NXQ7HuE/96CNY//EPf3Hgu+gieG+6Kew03YSBISIC3htvhO3++wnCZ7f7TUJ9v/lNWOVCmZEBz//9H0FXXS6C7obp3PsuvxwyPh7qe++BHzgAMWYMfBddBH3ePP9rlG+/JR5XdrZ/HUqHA2zfPljef//oi5W2NliffZY4Sp2dkA4H4ocORZPhH/RTimNpyN3R0XFQNbDYXpQvu8edd96Jxx577KCvKSoqwtKlS9He3o67DoOX1VfxkytWjnUcq4JASondu3ejvLwco0aNQspBYEc/9LYdKtjWrVAef9wvBQu7HWLmTOi33XbUkxUpJfbt24eSkhIMHz4c6cHu0QD0K64AW73a31kDQFKsl14KOXky/ayqkCedBP2kk4I/GOitWAGIRzF+/BFvL6QEKisp2UtLOyIYGGtvD/UHMMLDOfZt3IiIAQMwYsSI73Uj5Dt2EBG7X79AJzAlhUjh778P/oc/BKAovYgesJUrie8yeHBgWxMSgOZmsKVLgSApZP97iovB6utDXbEZI7+Z/fvJq+Hcc6GWlADR0eB79kD95z+hRkXBCcAZHQ0hBHxCwFtbi20bN0Jarchsb0d6URGsJSWQ8fGQJ5xA/AhD5YiVlBA0LHhjYmJou71eIDbWzwvxk1DDdMXEoEHgkZFAa2ugkOjqAuvqgt6dV+LxUKEVG+uXoobVCv3ss6G8+y74zp3QpURzczOYy4V+NTU0gbBYoKxeDeWFFyBOPRX6GWeQ9LJxvpUvvwRfsYI6xlFRtH81NVBef50SEk0LrDdjAmRCsUT//kBXF5Qvv4Q+eTLk2LEEa3zzTeqGut2UPJnXg1mImHKvqgrfRRdB/eADUpYzihWZlgbfb38b0lWWo0bB+69/wfLEEzQZbGoCmpogBw+GftVVIeubx8RAnHwy1LffBnM4CG7X0QF+4AC0cePgGzCAxAt0nYpJIWDZvp0gUcGde0N9Ttm+vUexwkpLYbvzTvCGBghDJUzZsYN8SBISAgm0xQLW1gbLO+/QpKS7wl1kJElSNzZCDB8Oz333Qf30U1gff5wmHmlpgcLVVNfinLgsixbRz4aKn3/bmpuB+Hgoq1eTSEAvcvty4EB4nn2WYHA+Xygc73sGLywkr5X09FDY1s6dUNesgdZdMfEQoY8dC/W99+h6N6G3nZ0EgzT8pvqsWAEIonfCCUAYf5NDRbipiykhu3///hAFsuCpi/rOO7DdeSeYptEUs6UF1n/+E7y0FO5//7vHuQkmm2sXXggZHw/Lq6+Cl5RAZGdD++UvoYW5b4ZEQkJP1cXgYAzaWWeRwWh3dTdzf6uq6B/dZaadTr9B7qEEXsKF5fnnoSxaRPzI5GSgvR2Rq1cjU9OAbh5j/+txLIuVzs5OxASbuh5l3HrrrbjiiisO+pq8vDwsW7YMa9euha3bepkwYYKfR9PX8XOx0sdxLDgrXq8X27Ztg9vtxpQpU0LGfUcSP4p0cXs7lCeeoM5xXh7d8NrawJcuhczJgXL22Ue8TZqmYefOnWhpacGkSZPCX6QJCdBee41gSRs3QkZEQJxyCuTJJx/0YW7qoPfpcaquBv/wQ5JH9fmApCSI2bN7GEKGC845tJgYShaDsOltra1oKytD9FlnYcCoUd//4V5fT8el+wPJ4fBDw3o9Jq2t5ONgqtB03xaT8NvURN3Y4L+bZoe6HkjWdJ2mHE1N4O+9BzZjBhWIVitkayslxEFYdM457B4PbEOHYubs2ehavhzys8/gbmlBm88HR1ERRHMz+PDhUKKiwMrKgJSUHl1WMXo0ZF4e8Sz69QNsNr9viTjppLDrRg4aBDF3LviiRbT/RuIhJk0iU0iASOivvALls8+IiJ6WBv3ii6HPn08TvvHjIVNT4d28GWUFBbBGRmLg55+DRUYSP2TPHjJkdLvBX3wRyuefQ587F76HHgJsNigrVlCSYd4XGKP37dpF0EGrlaAfkZFUqHBOxzgykt4XEUFrdPt26GPHQvbvD98tt8Dy6KNAeTn5RVitVIRERhLXpKGBfh4xAuKCC+A74QTw5cvBqquJT2VwS2RTE3FGDGiLHD0a3iefhLJ2LRUqaWk0cQvDudPPPx+sogLKV1+BdXRAxMVBTpwI8fvfw2q3o6OjAzU1NUhMTITm9cK6dSv4jh3ghvSyGDiQCjhDJbB7qJ9/Dl5fD2FAK/1rV0qCUJrr0fxdY2NAdSwoOWStrTQ9MRsmUVHQLrwQ6vLlxCkI4pPwqiqI/v0hDL4Bc7t7XnOqSnw4TaN1jm5qYB0dUFatgrJ5M5HnJ02iZP9w/UykpMaRx0Ow0l4mLLykhArsbrAtGRlJqnZHWKyIESOgnXMOFbZFRf591aZPJ0Uw9HGx0ofR3bjPnLrs27cPBQUFiI6ORkJsLAY//TQVKsFy2S4XlK+/Bt+5k66FoOhugKmfcgr0w1FbO9ro5bgKs3jspoKJzk6aZh9Fks1qa6F++y1N383jERcHX2cnordvD216/ATiWBYrLpcLGX1wLJOSkpB0EIsIMxYuXIgHH3zQ/3NVVRXmzp2Ld955B5PNZnAfx0+uWPmh1MCOVCu+t2htbUV+fj5iYmIwderUI8PN9rJtP2SwjRtJcScvL3ATjImBbGsDX7IEyllnHbww8HrBduwA2tshs7LgSk1F/tatsFgsmDZt2sH5Ok4nxK9+BfGrXx3RNh+yWKmuJs6G3U438oMlCV1d4K+9RtwLc8ReUwP+7rsQTif5VhxiWzwDBkDu3g22axdkejoamprQVVKC+KFDEXHqqX3TSY2PpweVyxUqydrRATlyJLiiUCIhBFhhIUHhNI2KKLebkuHaWpoctLcHYDJNTVQc6DrUu+6CGDWKjC0NxSQ5fDg5z5eWEoxISqC4mLDvyclQiorAdu2CXlgI/bLLiF8xdChJEhuKZay+HkxRoJ1xBnhXF2LWrQNLSIAcOxbagAGQ33wDpaYGnvZ2+OLjwePioF18MSKiokLlEB0OaNddB+Wll8g53uslEupFF0H0ZvrJGPRzzoEYNAjK8uVAayvE+PEQs2f7iyn1iSegfvghkdMdDiKn33sv2Nat0OfPhxw5Ek0OB7ZFRyP93HORu28f2Ftv0fFoaiKIEmNUVDAG6XBA+fJLiAkToF90EcGyut8XjG69zMyEGDsWytq1lGD7fKSEpqrQTdhWmBCnnQatsRHqP/5B5ol2O5TNm4mXo+tgzc0Qo0fD+9BDJCOckQH9l78k+d7//hfKV1/5FfdkcjKdO/MhlpxM0s+HCL55M/i6dfSdmgbe2gpdVcESEvy8vbS0NAwYMADK66/Dum4dWHs7FRRVVVDq6qAbHh8hsChNI4jVe+/R1M9up2NjtRI/pqMjYB4I+LvRctAgiPHjaTqgaeR2394OuFzEEQkm6SsKvNdfD9sDD9BaMgpymZwM73XX+eGWMiICrLOTzpcQgcKKMUhdJ0K7/5SSfLD10UepUDEUr5TVq6Fv2QLvzTeHhx4GL4uSEiJRG1MokZ5OHjBBks3B+wCPhwwOAeLpOBxgug5xNM8hxuC74groY8cSidvrJcW1KVP891AzeT/eipXgCJ66APBPXdqLiiDLy+FWFDCfDwrn4IoCFhFBSnLbtoUtVo4H/oY+YwZEv37gJSU0nbNaafIJHNLQtLdgTU00pewmZCIcDqgtLVT8/1ys9En80KaQ2aYMvhFmA71///7INDhhfR0/uWLlWIdiJHV9UaxUVFSgqKgI/fv3R25u7vf+PEVR4At+CP8AwTo76WHf/eEWEUGSpT5f7wVUaSmUp5+mRF/T4LPZUJOVhfhrrsHgMWPC3+SFIGjR/v2QERGQY8YE8OvhwuMB27aNOCFOJ+TYsb0XK5oG/tFHfrgTVJUIqL/8ZXitel0HW7mSOAPDhgU6mDk5tI1r1x6yWFE7OmAxSNy6w4GG/Hx4urqQfNJJsM6bR5Cy7lFSAr5sGXWuMjNpKtDdgNEMrxf8nXdIicvlAsvPp3F9WhpNQux26BdeCMYYhKaBv/46+JdfEnyjo4PgT6NHQyxYQGpY+flgRUWEn9Y0evjZbJQsWq3Ufa+pgX7nnf7Ovn7jjVAeeYQ4JO3tpGKWkgLd8F+QHR2UbI8dCzFuHLQ//hHKv/9NvIDmZsjERGjnngtx8slElK6v9zszq1lZwFlngW/fDkdNDdpnzULV2LEoj4+HtmIFEhISkJiYiMTERNgMYrx27710fnbsIJWvyEgqwHpbR3V1UN95x0+o5tu3Q1RUQLvySv9kQMTHU0Ho9RKXoaYG6vPPg2/ciPbcXBTMnIn+U6YgKyuLPHnMbn5dXcDXxFQLMrZHWbQI+kUXQUyeDOW110KhGu3tlBAPHw7fmWcCTz5J3CzOwTiHbkgxA6DJmM1G/KugkKmp5AmTl0eyyGlpYOXlVEimpcH72ms9JiLKN9+Ar1pFHXun0895UV57DaJ/f7D2dmpemHyv3u5pdXXk3dLUBDFkCCXxbW1QFi9Ga1oaNg8ZggEDBtBDs7ERtvfeIwEHI8mSqgrmckHJz4fniivQNWYMuKaBMwbbv/4F9fPPyWfI4wEqK8lrJC8PMi2NzFV1nf4z5GCl3Q7fRRdB9O8P6XBA/fJLmqhER0O79FKS/u0WYswYuBcuhPrNN2AVFZBpadBmz/Z7NcmkJGhnnw3L66/T9no8ge+1WMCEoOaBwZsCQP41mzZB5OYGBBwaGqB+9BFkRAR8l13Wq4cRWlth++Mf6ZpMTCQOyv79sD38MDyxsUSc9598Sedt27bA+ouIgD58OMlxHw0UFqBJ4pgxEL0Yx/VVk++HDHPqgqgoWCIjITweaAB8mgbp9YJLCauU6LLboXbbPz9n5ccOpxPeBx+E9ZFHSI5b0yBjYgiGdpT8EmHKibe2hnh58bY2iMhIsINJ9/8PxrFUA/vZwf7nOOIwF6OmaYet0tU9hBAoKipCTU0Nxo4di8TExD7bNnc3CcRjHTI3lwqTtrZAsmdAKsSkSeBRUUTc7v6Q8nqh/N//UeKbm4t2nw+uykrk7NwJy65dZGLWPbq6oPz732DffRfQiM/MhP6b31DR0j0aGqA89xxNCYyCSWZnwzlmTFgfC/btt+Cffx5ItLxesNJS8Jdfhn7XXSFKUeyrr6C8+CJYQQEl1NXVEDNm+CcOMjoazMQJ9xL8s88w9Kmn4GhvB1dVtDocaDv9dGRdeimsKSlhu+Js3TqC3dXX+9Wv+JIl0P/4R8hwBOM334Ty9tsQsbGQM2eSvGx9PaTHAwwbBv2aayBnzwbfuRO2oiLa/9hYIDcXKC4mhag9e6jQGD4c+rXXksJaWxtBjpKSqFgyYDMyOhps926wLVsgDdUaOX48fAsXAitXgn/yCXEIpk8P8CyiovyKTRg3jpK+++6j6VZnJ3FFzBu1qlJCH5y4x8eTi/agQbDdfDNy4+LQz3ADbmhoQGVlJYqKihAVFUVj8IgIxL/5JkGVgnxkxLx5EIMH09owJ0e6DstTTxHUMCuLplJNTVDefRcyOpoUftra/IUBLy+nZDoyEhAC7RYL9PXrMTkiApbzzgMAWtvJyQS/M7gIfhig1UoFDOc0xQKgz59PE4jdu+lY+XzE55gzhz5LVeF79FGC4pWXk4LUzp3Anj1+Lwr91FN7JJBizBiIlBSwffvoOlZVyIQE4uNcdVXPpFhK8K+/Bt+/H9i4EUwIknseNw7swAFYb72VpgydnVQEjxkD7f77e0pIgwi/rK6O/CTMB3xMDDz19fB9+CGGv/46UlJTgfp6WO+4A3ztWtq+qChKxEGqWlAU6GedRWR9KSF37gRftAh6XBxYQgIZj3q9YB0ddHwUhbbH+B0Yg0xMhOehh/xywL4bboDvssuoM5yUFFgLYUJmZsJ3+eW9/t37xz/S1PHTT8mI1VDE08eMgczJgfrttwQVmziRIKqbN9P0xIRA7tkDXlgI1t4O6+OPw/Lhh/DeemtYnoO6bBn4vn1Eojb5OAaJWn3vvZBihW/cCMvHH9P12tVF11NbG5T16+HrReq4L+KYFSs+HywvvADL66+DNTVBnzQJ3ptv7rVoOqqIiYF2+umwvPsuuM1GDQBNA1pa4ImPxzqnE2zNGj/XJS4urgcMDACtg44OmjocbILV1gb1iy+gbNlCil0nn0xwwKMsfsTgwXC/8ALBEzs7IQYNOjgX5lCRkAD91FNheestmrBGR4O1tUFpaUHLaachprs31/946Lr+vZAxB4vOzs6jpgf0RfTr169XXl1fxU+uWPkhYGAAjhpu5Xa7kZ+fDyklpk2bhoijdDzubdt+aBiYHD4cYuZM8CVLINvaCLbT1EQys+efD8W4eLt3Hdj27WB790Lk5aHJ5YLb7UZS//6w1dcDX31FUKJu8Cu+aBH411+Tv0VMDEmulpRA+fe/oT36aI/OOP/oI5okDBpED39dB9u9G5l1deT+3M17ga9ZQwWAeZO12SAHDKDku6DAT9xnq1dD/ctfqCsaFUVQk507wVtbIc47z6+Jf7AHJcvPh7JwIdSODrjS0uDu6kJ0aysGf/019LPOCpvgwesFf+EFKo6GDg1053fvBn/hBSJ8B98sm5roeMXF+Sc04vTTgbIyME2D9txzgDHSZYzBVlhIRaBBbobPR4lafT2ZPQ4fDiQmQkyfDnn66eAvv0zck+AHntXqnxiYtzYpJfTkZIhzz4W1rQ1y7dqeAgSGVHTgALGwylgyKwsyK4smayYpvqkJyooVkE4n1DfeoHM7dKjfDTg3NxderxcNDQ1oaGgA/vUvRCxZAj0jA9bUVNiqq6GuXg1l1SoiiqalwXfrrRDz5oEVFJDcZ05OoFhNTqZie9EiUtiyWgkqxzl1yY21pkmJds6RNHQoLKWl8O3bR1OM+Hj4fvtbWP76V7+crV8SOSqKyNcWi19dTaalwffQQ1C++IKKJoeDHO2HDqXjkJtLKl9paUBaGnxDh5J6VX4+mXdOnEjFYfcHaWIi9HPPhfLqq6QUxBgVGSef3FMdqL4eypIlUN9+m9a94XDPd+wgrxMj6ZWZmQSH7OqCsmYN2L33wvuf//ScsLS30/oI4nt0dHZCCIF4xsgo1eOB9frrydPHXBYtLWSMN2ECXWceD9TkZCg2G0Fudu8Gd7uhZWdDAtBGj4ZSUEATn/p6iNGj4bnpJuhTp5JHiqJQEm+zEX/DvOfExJCB3/cNhwPev/4VvhtugOXvfwcvLQ1pxEiXC3zHDkQmJYENHUpryOR11NSQgAjICFLGxABNTbA++CBEbm4PTyBWWUn/CIaKGQadfO/ekNeqX39NXjvDhlEh195OxbIhjdyrHPr3jGNSrEgJ+3XXQf3oIz+kT/38c6hffYWu998PnSh9z/D++c/gpaVQ8vNpUi0lREoK8OyzmD5pElpaWvzSyAUFBbDZbFAUBe3t7XC2tcH22GNQV64MQPSuv96vBhccrLERtuuvJzifsR4sH30E3y9/Ce9ttx09NFhRqLHTR+G7/HJAUaAsWUIT88hI1J92GjouuAB9cPX8fxXHGgb2YxYrP0T85IqVYx3MkOM9mqKgqakJW7duRVJSEoYNGxZY2KWl4EuXUpI/cCDEvHkH7eb1Fn3haXLEwRj0W28ll+OlS8mEbdIkiPPPh5w8Gdwgvva4kFtbIbxe1DY3g3GOtNRU+rvDQZ3ZIKlPANQhXrYM0ukMFCWqCtm/P0F6tm6FDOYdtLaCb95MUBfzwasokLm5iNiyBXLvXiBYYUwIvx9LSJgPfqPLDQD87bepM9a/P73P5QJaWwlCs2sXpOneHU7K1/yMr74C2tvhSk6G5vEgOi4OEenptC/Ll1OB1f1Ql5SAl5dTQhhs0JeRAb5/P0Rpacj7WF0dwYWCccOM0X4bvhUyqFiBpgUKBvNctLYSYduEF3Z0EJcnNhYyLY06ucEbKYS/y2bCJYUQfuy2HDEC7LvvIIN5Ly0tkFZrqBt2b2GxQD/rLCjvvANWWAi0tpJnitcLxMdDffllKJ98At9tt0EEJdxWqxXp6elIT0qCdf9+aMnJcDmdcFdUwFpUBF1KEhmw26HU1sLyl7/Am51NuGyPJzDZMUI6nUB7O0ReHnlv7NhBXUpTvaqzE12ZmUjOyoIiBPmPmIUJADFvHvTNm0lZrKGBoEgWi1/uWMbFEV/F/L60NGjXXANceSWUzz8H/+YbKIsX0zobOBD6L38ZwIc7ndDPOCOsOpt/GVRUQH3uOfBNmwC3GzIyEuLEE6GfcQZBGoMKR1ZUBMtDD4Fv2ULn31Qcstv98C0ebL6oaX5ZVv7dd2CbNvWY+slBg+ja6uwEHA60trVB83qRIATk+PHQGQNfvhx861aCHFZVkeSv3U5QvD17iGQ/e7a/sOecQ7FY6B7NORVfmZnQUlLAd+2CiI9Hx8svg0VGEhT0lFPAOzuhfvop1BUryMtiyBBoCxYQNK0PQyYl0dropmoIhwNM02BtbgYA6JMm0cSvsxN8/37izjgctL5jYiCdTvCyMqhffglvdwPTxETyzwk2kQSAri6IbjhzVl9Px58xgsca1yL3egkCGyZYYyMVmWlph0/2734cjkGxwjdvhvrxx7QWg1XZ3G5YH3gAXYsW9dl3yYQEdH3wARl8FhYS1G/uXCAmBhzwc10GDBgAt9uN4uJidHR0YOu6dZj44IOwlZVBczrBbTbwfftg+/OfISMiCBIbFJbXXoOydSuEwS8BSEFOffNNMjINgwz4UcJmg+/qq+E791yaRCYkoKaiAs4fwETweItjVaxIKeFyuX6Ggf0cRx5HWqxIKbF//37s2bMHgwcPRlZWlv+GzRctgnL//dRNBSAZA3/9dWj//Ke/632stqvPwuGAuPxyiEsvpYeqQRQ2twnoqTTV4nQCHg8ivF7E5OT4jwdrbKSktXtXU9NIa757x8/oFrOurtCk2eOhpKl7N8JqBdd1aN3hcobzPF+7NnSq0dlJD0ATfysEGfNFR/tN8WRWFpjFAlRUAGVlwIknkjLZQUwiZVUVXLoOzedDhMOBSPPmzjkVGeHCfMgf5jhWxsfTuWhvD+2UtreTiWGQog3nHO5+/YDNm/0kfJmQANbcDNbeTt3D+nqgsZEgd8nJkNOnA5s2AeXlNLnRNCLbZ2RAjB3rL1LMz2eMQYwbB33GDCjffUfnxzAnFCedFMqp6OggyJph5CnGjfM/tGX//tB+9zvwwkKoTz5J56BfPyLMKwo91J97Dt5p03oW/R4PmNsNNSoK0U4nkdulhIiIgOzqgsvlghYXh6i6Onjffx/qeefB4nCEwhxBHX6ZkgIkJsJ3772w3HsveHExOYHrOrypqYiYMgVMUeh8xsb2nBQlJkL26wdx8skE9SktpY5rYiL0c84JS07lq1dDef99yNhYiIEDKXHfuhXweKDdcQcdo0Mlg+3tsNxzD6kXpaSQG3t9PZRvvqF1GzzhEgLqc8+RpwTngSRY12maZEzSoOvE2ensJN+Wri76vccDy9/+Bu8zzwSuIYCmPVOmgK9ciQ7GwFUViYaSnu/CC2lfi4vpxXY7ra+KCrquhQBraIA44QRo110Xsr9i3DjImBjw2lpqVBiTCqaq8J17LiwHDoCvXUuqXUlJUIqLoe7dCxkTA2azQVm9Gry4GN4//AEyLY0gkX0B7WCMjo/h9+IPg2zvs9vBGIN+4onQN2+mqVR1NRUehhCEdDqpuDBkkbuHPns2xGuvkddGaipNnhoaAIulR/deDB0KZc2aAOnfPKdC9FDRY42NsPz3v3TNer2UoF94IbTTTz/iDv+x4HCoK1ca/wg6T8a9Wdm8mQrsvuxKKwr07pL4YcJut8PpdMJqtWJ4SwtslZXwxcfDZ3Amleho2JuawP7zH8hTTgkp4pSlS+lZFwQ1l7Gx4OXlJDd9vBQrZsTG0rUCQBw4cMwmDMdzHGufFedRNLD/f4qfi5VjEEdiDKlpGgoKCtDU1ISJEyeGmvc0N0N56CHqVuXk0A3W5wMrLITy9NPQH3/8iLfrB5cuDg5V7fFgN5VfzO2SUqK8vBzFLS2YcsIJiFu/HrKqijqMDQ2Qqgpx1lk9cblWK+TgweR8npwceEi2tJCBnUFq9UdCAqlQFRYSfMJ8fU0NtNhYeLt3OAHIk06CLCqi9xgwFNbYCDF5MnmLAFTUJCWRN4f5RpuNEsuuLogLLoC47LKDdh69Xi/q7HYku1ywmRMlwJ8smOaBPbavf3+InBzqKg8aFICBVVaSQ3JeXugbkpMhZsyA8umnEJyTJ0VrK3h1NcHBgooyxhg6hg+HrKwEW7uWHpKGBK4YMoT2j3PIGTNINIAxyHHjoF96KZTPPyd+hDG50i+9FHpsrN/Uj3NOBpSrVpHEdUwMtHPOIc6A4TQe3M1ne/bA8ve/U/IuJUEXRoyA77bbAhC9uDiSIW5spOS1rAymc7pUVfCuLvCtW8lTJDjsdsiICPCNG2laYijicADMYkFkUhJ8NhskY2gpKMCO6dMxOjsbiVu3QklLA3c6adri9ZI0sdUKOWAAvC+9hM5vvkHb228jZfdu2FNTIbu6KKl0u2lK0g0fLoYPpwmbplExNm4cQUv27ydj0x4LQIKvXEnTFPPcRUVBDBgAZflygjV5vRCDBhExv/u+G8G//RZs1y7yYDELQKcTbPduKG+/TZPBhAQgMRFs3z5ab+npBBUy/UI0jdar2c22WgnS1tJCjQOHg6ZEnNMU5+WXod15Z2AjVBXtd96JOlVFyqZNcKoqxMiR5JNkJGIyLg6mcaWMiKDz3d4ONDRAZmTAu3BhDzihzMuDfvHFUN54IyCfqygQkyeDZ2Uh4oUXiAcVHQ1s3w6lsBDaiBEQRmHIYmNhWbkS9ssuIw+V1FRoF1xAyX64xFxK8F27qHjKyKBrt5cEXp8xA5bdu4GaGrqHeb3g+/ZBZGejwxRYiYiA97bboMyYAcv//R+UzZshs7MDzREhCHpkiicEb0pSEjx//Susjz5KvCJdB+Li4L3ssh6de+2006AuWkTnNimJrp2GBoi8vNDXahqsjzwCZd06yKQkv1Go5emnIa3WI5bh7cHhkJJ4gVVVkFFREEdhwitttvANHFP45RjxCA4nzImyUloKzhisTiesxu91TYNms0HfuRNrVq9GfGKi39clwihiQ8L8uXtD0uUibsvq1fTn6dPJI+dH6sQfSyf34zmONcH+ZxjY/1j8EEojhzvBcLlc2LJli1+Gt7vBDl+zhrrVGRmBG5HFQiPllSuht7X1rvzyPbbrhw5zu4QQKCwsRF1dHSZMnAjnjBnQ33sPfNkywk8PHAhx9tmhcK6gEGeeSVK3hYUEeXC7CYpzyimBYiLwpRDz50OpqKDXx8b6JUSbp06FLZxj8NChENdeC7ZkCXWSrVaIBQsIThT0wBO/+AWURx+lc2fIxbLyciAnhzgrBylUOjo6sGXLFiRMn46coiLwsjLoSUn0GTU11GmfMyf8my0WiKuvBnv8cUrELBbqdKamQlx9ddiHsrj8cjCvF2zdOtreyEgyHrz66pDXcc7hs1qh33gj+OjRYOvXU5J46aWUOJsmh8H7xhjk3LnQJk8mYzGLBaJ/f+hG0WxOU1hZGSwPPBAoPgy5W+2WWyDy8qC++iqU224DAOizZoHt3w+2bx9NDiwWkofesgXqq69CM15HJ0zSRLK9neBHnFMB2dFBv29s7HE8lE8+AZqbqaPc0kIFqcdD25SSAhYVBasQYKqK1JkzYZs4EU2JifC88gqitmyBtbYWPCkJ+OUvYTnzTL9jd3VTEwptNgx+8EGoRUWQixaRkEFKCsTcudBPP73nuTG8Wvjq1YGJhRAQU6ZA9OsHy913Q/niC0BK6KeeCn3uXIJiGQWzOTXi27aRIl1CAmRSEk0Otm+H7557ILolqYAhAiAl+bMEH8v2diivvw5lyRJScTvtNFIKEoIgl5mZVBSaqmWMkRSwz0fbtm4dTcJM2JLHA5mVRZKpmzcTv8koNtva2pBfVITkK6+E9eGH4dW0HjwJ/dRTYXn2WZowpKRQMcw5WEQE9F//ulfjVf2CC6gQ3LgRzOUiFbDYWKhvvEHGigZ8irW2gkkJtb6eOC6KAmXbNuJbWSy0HsrKYH38cUDToBkCCf7lX1sL6+OPg2/bRgVaVBT0GTNIYjgoseAbNsDy/vt0j2AMTNcJ8muxQAwYAN8ll0Crrg58sM0G/cQTIdLTEXH11QSvMSZEvLERIiMD2vz5YfddjBsH9+uvk5KexwN9yJCeJpcg7pfnkUdgeeEF8lQBoJ1yCnxXX02FlLntW7dS0Z+d7U9+ZVQUWEkJ1I8/hj5nzhFNV0JgYC4XLC+8QO7nHR10/xgwAN7rrgs1kT1EaPPnw/bXv9KaMyeLBhxVO+20Y8a/OZzww18TEwMTSEUB5xzcaqXCMzsbw0eORGNjI8rKylBYWIiRQ4Ygo7QUMiYGinnPbW+nZ1Kwz0VXF2y3305TLwCQkgxmV6yA54knfpSC5XiRa/6h41gVaSYM7Odi5X8wGGPHVLngcIwh6+vrsW3bNmRkZGDw4MHhF7HHQ//vXo2bJnqGUtHhxvFarHDO4Xa7UVBQACEEpk2bBrvxABGXXw5xwQUEt4qLO6g5lRw+HPrtt4N/8QVxQxITIS+4gDg+YY6vHDsW+i23gC1bRgTxvDyIE05Ai9WKpF4mUHLkSMgRIwj2Y7OFfdCJc88Fq6gA//hjoKSEErncXOj33NODtB8c5prIzs7GwJkzIbKz4Xr8cUSUlVFxNXMmxLXXhsBlemzfpEnQ/vY38BUrAtLFs2aRM324cDqh33ILUF5OyXNiIhGguyvUmNMvhwPitNOAcL4MAHV2v/4afPFikoMeNgziF7+AHD2aiPQGZ8MsVCAl1BdfpOM/cCAVVEY3VX36aZI/Li6m5I4xqC+/TJOIWbMC+POICIjUVJqGNDQAphpUSgqkkfyF7I8Q/uQuJOrqoCxdCuTlQfTrB1ZURJMPA3Yn4+IAU1o5LQ3i7LMRHR2N6NGjgdtvh1i5Eq7yctQlJeFAcjK4ofyj6zoaGhowZswYJCQkQGRnU8HZ0UG8n3DeGLoOZckS8J07/VAdMXw49AULIAYPhu3SS6nrbbxXffFFqK+8QgpYXi94aSkZPKamkjGhxULiA04nYEz+LI8/Dp/NBjF6NE3VzDVkwv+CuA1s716wqiryiomOBlwuKG+/TTyujAw/kV/27w9WUkLvZYwKlVNOgfcf/4Dl4Yehvvii33hO9u9PvhMeD4lQuN2QABoaGrB9+3bk5eWhn6pC+eADUiRLTibxBrPxkJoK7yOPwHL33WTIKSXJ6557LrSDeSsxBjliBPQRI8BXroT69NNkgNjQAJmYCGGzESTPmAjB5YLS1QXJGJSKClqj0dGQBsmeV1RAeestuE87DdwokDhjsD7xBEFyMjKIi9LaCvXLLyGjouC7+WY6b++/D9sDD5BwhaliFxUFzw03QEybRhMSiwWyqqpHo00OHAj3k0/CunAhXSOMQZ86lSBqYSbD/rBaISZM6P3vRoghQ+D529+oeDcnr92CV1WB+XykbhccsbHglZV03z6CJCq4WFE/+QTq0qUQaWl0Pjwe8KIiWJ99Fp4HHzzsCYvMyYHn/vthu+8+WnvGdS8zM+F54IHD3rbD3AEi77/1Fnh1NfSRI+G74orw6pWg/VUUBdqpp8L6zDN0z0xK8psnQwhoF12EuLg4xMXF+bkurTExcO3YAdv+/dAVBQoArqrwnH12iDePumQJlO++owLTLN7dbijr1kFdtKhHgf1DxE+5WDkWk5Wuri4IIX4uVn6OI4+DFQVSSpSUlGDfvn0YPnw40g/yUBFjx0KJiiIoitn9MrrFYvLksB2xo92uHzMYY9i+fTuSkpIwfPjwnhd0RESvXdLuIYcPJy8Ar5du+Ie4KcqhQ0k5Kyh4fv7BjxNjB/duURTof/gD9PPOAysuJhjahAm9dvCklCgrK8PevXsxYsQIpBkQHjl6NKr+/GeodXUYMGgQdZ0rK0nOOTY2vMcKAOTmkg/D4QZjQHY2SZr2Epzzwyrw+YsvQnnpJSILR0SA794N9u238P3lL9DHjQuZqAAAGhrAtm+nh6k5+TGUvvjGjUTuNicoAGCxEH+jujqEUwObjSBS3bhJsn9/P/wIigKm65S4Z2T0WFO8vJzUjgzVJZmW5pdM5lu30uRNVSHGj4fv1lv9HBO+aROUN98Ea2iAHUC8omDgyJGoXbAAxdXV6DJktPfv34/Ozk4kJibC4XAcdA0pL78M9dVX6Qenk0jqu3ZB1zSon30Gvncv7b+qEoeovZ0mFenpYD4f+bBs2ACRkwPW0UHGjsbDjNXWgjU2glVVwXL//ZA5OdAuv5wkpgHoM2cSTKq0lNaElMTd4ZymvMb1KFUVyurV8N12G9S33wbbvZumN0KAdXWRJ85ll1Fhpijw3XILySu3t9PnGtcDO3AAsl8/yLQ0VFZWonzZMkxsb0fckiXEKdB1yPh48rxZvhzatdf6IWzipJPg+fJLKKtWAR0dEKNG0WTkMLr5rKCACp3WVpqstrWBNzSALVkC7dxzybTR4SDpaRhKY11dVDwkJ4MrCk3c4uLofTU10Iw1oezeDb51K/T0dDATSx4XB+nzQV22jPxQVBXWp56i6WdaWgC2WV0Ny4cfouuKK0KaM+FQAWLiRLhffZVkvDmnIqUv0QMml6aXkPHxfvPIkKlqZydtyxGqWfqLFbcb6sqVBNE1Gzx2O0ReHvjeveAFBUfEy/D97nfQp06F5d13wRoboY8fT9ynvlB0Cwrr00/D8vTT/kLfUlIC9auv4H7uOWqwdAs/7C0hAe6//x32O+4gSXtdBxwO+C69lNZKUNjtdtjHjQN75x3gvfcgv/0W7YqCqjFjsH/0aDjz8xEfH08eUmvX0hQp+DzY7TRhWbPm6IsVr5em5apKU64jWHPHEg51PMexKlY6OzsB4Odi5ec48uiNs+Lz+bB9+3Z0dnZiypQphyZE5eVBXHQR+EsvkVGckZDJ+Hjo119/xA+l47FYqaiogMfjQWZmJoYPH953ML2j9LgBDsPB/nCjewHQ1kZdypgYf5dS13UUFBSgsbERkyZNQkx3eWVFgScxEYiIAH/zTUr23G4gMhJy5EjilvShvHVvEcwr6jUqKsDffZe6rCkpAEC8lN27wV96CZph5BlyjjUtABsKDtNHxGIJnTxERUEqCnhFBRWl5vbV1RF2P3jqpCgQp5zil/pFayupWkVHgzkcPaCB0mbze9PAbqfrS1Xpeps1C9rvf08d9eDJU0sLlHfeIZiiaXLodoNt2oR2XYd6wgmYOXMm5M6d8H30EfSSEtTGxKD1hBPgGD8eiYmJiI2NDe001taSzKrDEdif5GSaNr35ph8q5xePcLnMkwRmJOy8vByoqaHJh9NJqkGMgbW2gh84AKnrJHE8cCBYfT3Uf/8bvqws8oNJSYF2991Qn3iCoEkdHTSNSknxk2QBUBFVXg6ZlATvgw9CWbyYVOdOOgn63Ll+bok/EhOhn3ce1FdeITJ8ZCQVCpGR0M4/HyUHDqBl+XJM3LoVEV1dYLt2UVHqdALR0RADBoBVVkJ54w3qVJvd/JgY4gcdYSiffEKwNJNH0tYG2dpK4g27dkFMmEAJt91Osr8GJ8eE05nHnHs8QEQE1IQEcIuFCvLmZlJtS0mh4o0xv0wwa24Ga2khuJ2hkORfT5oGGRUFvn8/+N69fgW8gzYKepHx/iFCnzCBzktREW2D3U48MY+HvF6OMDnzE+xdLip4uqtG2Wwk1BGkvni4IcaMgacvfVW6BauqguVf/6J7l1FgSSmBhgZYH30UXSec0KN5FjxlEJMnw7VoEYkndHRAHzWqJ88wKGRyMrTrrweuvx42ALkA0txuNDU1obGxEQcOHMDw6mqkeb0QXi8shhKesWFHfG7MUJYvh+Xll+maUBSIoUPhu+66HsILvcVPlbNyrIqVjo4OKIriR6P8r8ZPslg51jCwcEVBe3s78vPzERkZialTp8ISDvoRJvRbb4UcOJA8QWprIUaNIsf0o9BCN6WLjweXYCEEdu3aherqajgcDiQlJf2422SuB0N6+qCJeU0NTUxMsvuh8NNeL0lPr1tHCU9UFOTEiXDNmoV8g+Q7derUsDcbxhiEroMvWkSeMP36EayipQXsu+/AIiMh5807un02QwiSRC4rI5jPsGFURMTFBczngicrpaXg+fmUjGVlkeyswwFWWEgqWAMH0uukhAQRe/nu3eCNjQECvBmpqZADBoBv2RIidMCqqykZ7l5cW60EnZISbO9eeo0hoqCfd14PSJV+5pm0XaWlQE4OdQQ5hz5vXg/cuxw0CDI3lyYEQXwYVldHkr2melt1NZTFi8FaW0lRqaaGPC26ugCXCz6LBY0+H+J27UL2jTfCsnYtLA8+SImx1YoUjwfeoiLsv/pq7MjOhhCCuqCJiUhMTIR9716SazYTFSHAqqrAamoIDpWVFQphC4a5Wa1ASgpEUhLY9u0kRrFpE01JcnKI/O/zERY+LY3WYmQkeGEh+Lp10A1ithg/Ht6XXiK+Ql0drPfeS1K/wddoVxeJRyQnQ44eDW306EMuNf388yETEsh3oaYG+rBh0E47DTujotBy4ACmVVbCJgRETg6UTZsAn4/gRFVVkMXFVFxVV9M56l4MNTeTrG9TE2RGBsSUKQct5Nm+fX55XoBgg0zTAJeLJkkxMZCTJpHsal0d0NkJ9cUX6W9eLyXOBv9JO/988IQEmCmY7NcPcDrB29uJiG+ex+ZmiJgYaAkJUMvLQ44la2wknp2uQyoKNaiCipUf+54dNux2eO68E9a//x28uBjM6yWBjIsvhrZgwRF/nH8/Y2JI+rykhHygzGhpoYbDwWBuP1Io69aRxHgw4oExICoKfO9eEg/pJvTSAxIVEUE8n6MMu91OEuzp6RBCwFtTA+Tnw9vUhA6rFaqqwqppsAHQZsw44s/n+fmw/u1v1DRNSSG46oYNYPX1cC9ceFhoj58iDMyU6D8WxYrL5YLD4Tg+7w99GD/JYuVYR3fOSnV1NXbu3Inc3Fz079//yBYV50TiPoobf/cwL5Qf+8Hn8XiwdetWaJqGqVOnYvv27Yee+JjeDYcTzc3kSq9ppIp1sAdbXR3411+Dbd5MXfQpU6Cmp0P0Ukyy5cvBP/mEuocglSQ5ezbEL37RK+SMf/UV+GefER8kMxNoa4P28cco3b4dkQsWhIe+me/lHGpDA3FwsrMD+O/YWEivl6AmM2aE4sLdbrD16ylBj4yEmDSp94KqqwvKc8+BrVlDMKe6Okr+Y2KAlBTov/gFxJVX+icr7JtvoLz2GkETOaeu7ujR0G+8MZD4GcmzBGgbq6vB2tpgeeABIo2fckpArYoxaJddBktFBYkCOBwEKYmIgHbRRVA//JCI8CYUxYBEahdeSMl7XR35bpx5Ziix1AiZlQXfn/4EZeVKsJ07gdhYiKlTIaZO7bmerFZol18O9T//oa5+QwMVZBkZpIwlJfjixbDefjtBywzvGWm3U/FYWQnhdkMIgbjkZNgyMqC53VCffZaEHgYO9EN9rCUlGPjBB8h6/nm0Wa1oaGjAgQMHUFhYiPSaGgzTdTCXC5aoKOKtlJcHCrfycuo8G+dJWq00XeE8kAz5fASbGTsW+ty5sN57LylA1dcTiTwtLWD+ZsrdGvLo/rDbISZNAisthRg4EMqaNZBut1+pitXXQ0ydeviNEynpHPt80M8/H2LsWGiMYdu2bfB1dGBSdjZsjY00zTCU0pjP5++mw+UC3749dLJlBNuxA5ZHH6XjZBiIiuHD4bvnnt7hktnZwNq1gXuLzUYKgV1dEDk5pAxnQEmFAeHxDR0Ky333ge/e7T/3+qxZJJEcvD39+kGcdBLUTz6B9PkgoqLIn8TthufSS6FHREAfPRr25GQqRD0e8kxRVeJYqSqsb7wBz8iR/unaQe/ZXV00aQt335KSVNvKyujvLheUwkIAgD5xIvQpU76XIpbMy4Pn//6P4JmGn448CK/uYOGHRSkKtPnzYfnHP2jClJAA5nKBtbZCO/XUg04cfrQwyfvdG6Gm/HOYaf+xkGo2g3MO+4IF4Js2IfqbbyBcLlIZkxKVI0Zgl9OJuMJCv8LY4TRQ1S++AGtrC9zLAIjISPCSEqirVkH7xS8O+Rk/xWLFbH4eq8lKVFTUz8XKz3HkEaxuVVxcjMrKSowePRrJ3bvKP8J2AUcxhpUSqK6mB2JW1tFBrKQEKy6GKz8fJQcOIHLiRAw98UQoinLQSQYrLgb//HOwnTvJSPDkk4kw34uiFlu1CsobbwC1tbTdcXEQZ54Jcc45PYuJxkYoCxdSIRAXRx4pb76J5Oxs1F16ac8PLy0F//BD2p3hw+nz6uvBFy0izP348T3f09YGtnYtFSrGA7zV40GTriO7pgaR6elgB7mBcc6JpGpAv0IiMpII5S5XoFhpaYHyyCNUfOk6mJTg77wD/be/hQwjI8o//xz8q69ImrWzE7y6mhJdTYO0WKA8+yxh+S++GGpTE5R336XO78iR9LDyeMC2bAFftAjirLOIbH3gAERODqQQ4Hv2gFdW+jk0ypdfghcXw3fTTf4pixwzBr6HH4aydCnYnj2kkDV7NsT48UBkJNS33gL27fPvs3bppdBuuYV+Dgch6x5paSEGigcLOXAgfDffDOsf/0gQJcMHxfrII9B27IDl3/8mDkNiIp3/zk6CJq1fD29KCro4R4SiwFJWBr1/f7CyMrCKilBOQl0d8R8qK2G79lrEn3EGYi68EP3794fH40FDdTU6P/oIluJidDqdiC0vB+McHCAIUkYG2M6dVFz6fP5kSEZHAzYbwTNaWsjLZvp0Imy/+ioZ1X35JXh+PhWw5nWsaWBCBCZNnZ3gO3aAVVaC7d1LxpAuF6k81dcTdCkxEWLqVPgeeeSQvDAAgFGs8jVrqLCy2eAbNAj5554LlpODCRMmwFJf7yeZs4aGQJJn+reY/L329gCET0qwzZthvfFGKlxzc8nIVNPAt22D+t//QrvnnrCbpM2fTxPL8nK/whWrqiIC8vr1NGWVEpbnnoPvjjugXX89ZF4evC+8QEpiTU0Q2dlUrIVJFLSbbgKioqAsXQre2kpGnldcAVx4IayKAl1R4L7jDjhuuomOiarSZCIiAvrEiWD790NZuRLahRf2igTg+fmkmLV1K0kFz5sH79VXBzrcPh8ZCK5YAbS1Qdm3j6CoUVGQdjvUd96Bdvrp8P7pT99PwldRSCzhe0ZwI003Ov/q55/TpDUqCr4zzyQFuuMwMdNmzKDnSEsLNVeMxg1zuehvYYrmHlLNfR02GzwPPgjt5JNJEUwIyOnTEXfSSRjmdqOxsRH79+9HYWEhnE4nEhISkJCQAKfTGXa7eGkpwXyD/2aKcAQr1h0kfoqcFbMZeyyKtM7Ozv95Q0jg52LlmISiKOjs7MTGjRvh8/kwderU42IxBRcrhwtDQ3k5JaybN5PqS3o6xGWXhbh/HzJ8PijPPgvvZ59BNDRgaEQEbJs2QRcCcs6cXjkirKgIysMPA7W1RLBtbgZ77jmwsjLq5He/mZaVEbnb7YYcMoSSnJoa8PfeI7hSt847/+47sOJigj0ZD2rpdsOxbRvshYXkaxH8ehPmFPxQTkoikviWLeGLFQMDj/R0SClRX1+P5pYWZAwciKj6euitrX71qh4hJSI3b0bU4sXgxcXkQD9tWoAU2tRED8cgngv/8EPwdesg+/cnErSUdFz++1+C6QQXzEKALVtGxGuHg6A1htIR6+yk99ts4J9+CnXOHETs3UuKScEEZpsNMj4efO1aiIsugnbTTVAefRRszx7qhDY2QmRmErnU6YRMSQEvLISydi30ICM6OWAAtCBvCFZSAuXLLyHT0+G75RZKAKxWiEmTQr//cB56UoIVFJB6lsNB8KCDkduXL6eCa8SIAIyothaWF18kSdmUlECCbrP5eSqaywVHVBRUTYOMjibIVUdHSLeV1dcT/EjX6VhLCfXDD8FaWqDdeitsNhsy+vUDe/BBqA8+CLZ+PbjXC6Eo8EREwBMdDVUI2FJTwex26OeeS581eHCgsFBViDPOgHbOOYEiNi4O+tlnQ0ycSAaVu3dDpKaCCUHw0iFDoE+fDjQ1QX31VYI5dnVB2bgRknOaXo0ZA9TWghcVQT/9dGh33XV4hQoA9Z//hPLVVwQZS0uD1tEBbf16DOnshO3dd8FVlSS2BwyAkp9Pxy0iwj9RgcVCpq9WK0H/DHii+vzzUJ96itTAFIUKzPJyWidJSVA2bIBWX0/XafdlMWYMGXYuXEjvNzhKzOslnozpz9HeDstjj0GfPp0MT61WKgIPFQ4HtBtugHbZZQQBTE4GHA4/VExRFODss6F/8QWUlSshrVbI6Gjo2dmQTieU1lbIffsghAg7Dec7dsB+881UPMbEgHV2wvLqq+CFhXD/61+A3U7+OosWkfeTEHQ/MmFv2dlEZP/iC+hTpvTwWvkxImQ/GYM+cyb0adNoux2OH1Vm+JARGwvPAw/AdscddE6EAOMcIj0d3nvvDfuWH2TKYMiM60EKjhxAXEQE4gyIncfjQWNjo5/rwjn3T1wSEhL8+YLIzIS6e3eowbKRiMvenmNBYcKhfmqTlR+iWPl5svI/GMf6pHq9XtTV1SE5ORnjx4+H+iOaTgUHY8zPWzmscLmg3nsvTTWSkyEjI8HKyqA89hgZwx0u5nXxYrjffhvtNhucY8bAZrNR1/C556ANGtQr8Z9/8glQV0dTDANWhOZmsJUrwebOpYIk+PVbtlAybXb9AYKAFBaCffddj2IFu3ZRQhR8foyHoSUYT26G2x2+o2e1UnIVLmJiCIrV0oJKXYfX40G/nBzY2ttpMnKQpJm/8goSn38emqH2oZSVQe7ZA33+fFrDPl/olEnXwZcvJxK0mWQzBuTk0IRqyxZ6vRmaRhhru50keT0eyIiIQHJtmMahooKOh8mN6H4MFIWgLroOfdo0aM89B3X1aijLlgGlpdBnzgxso6LQOjLdx8Pt97JlUD79lFSsGAMDIEaNgnbJJZSotreTHK/NRl3tgxUsbjfUv/0NyrJlpBTGGGR6OrQ//pGKljChrFwZqkAnJcFnamspce7qCky5NA2CMYBzWNLToUhJkraxscRpiYkhaFFJCWS/fpQUm58ZFwc5YABkezt16vfu9fN95NCh8D33HCz33AN89BFYejq40wlV0+DzeiFcLvgcDpQvWIDExETExMTQg9AwWuztmMj0dPjuuAPKe++B79xJCeG8edAvvBCIj4fy0UfkO5SXB75yJU04GAP79lvoJ5wApKVBahpNb4LdzQGgupr2LymJphtmNDdToRITA0RHw+vzoc3rhSMjA7FVVfDt2EGEecYgzj4brKWF3NNNiJ3DQZMAp5MUvwzTUVZYCPW552g7LBZ6na6DNTQQRyc9nda1IYkcEh0d4Dt2AA4HPM8+C97QQOfwxhvBVDWwXhmjNdfaCvWzz+A7GoK2IXHcW8gRIyB37yZlQinJm0cIMlxNSIDX6/XLfuu67r+PW958k5oBQWpM0u2Gkp8PZeVK6HPnkkqa1QokJIAXFdG6i4khro05IWxogPLtt8dNsdIjoVOUgyqSHVZ0dcHy5pvkEQRAnzcPvosv7nNxEu3ssyEGD6YGRH09xMCB0M47L8SbJji6J+6stJS4WjYb9BkzQvkvxzBsNlsI16W1tRVNTU04cOAAioqK/FOXtBNPRNy6daTgZ3BWeGUlZHo69F78z4LDbEr+FIsVRVGOSe7582Tl5zjikFKioqICFRUVcDgcGD169HFX7R6JIhhbs4YgUnl5ASfrqCiScv3wQ/+Y/mDh9XrR9s47iNB1xA0cCIs5wTB8LPj69eCDB/ecrHi9YAUFoUo5ABAbSxjvkpIexQo6O/08ipCw23vi8QFKOH2+Hr/mAPQwkyeZlUWf73YHOnxm57f7tpgRHQ33mDFoe/11qImJSBs0CGpbG7lUn3JK71OVsjLwd96BtNvhSkyEIz4esrYWbNcu8A0bIObPh5wyBTJ4+iNEQLI5OMzio7svj8VCHfk1a6jLavo8mEoxEREBEnV8PDp1nRK3ujq/2hd0Hay+Htppp0E3j3tmJnSjsFDeeKMHZI95PBC9JG+sqgrKl1/6fUUAQHo8YPn54AMGgNXVwfKPfxAcSNchk5Kg3Xgj9AsuCAsNVN57D8oXX1CxnZlJ21tWBvXRR+F94YXwhFAz4QdoKrN7N/lwdHTQ+6uqAKcTIjkZHp8PdiGAhASwsWNhrmJWV0cFfWoqtBtvhOUvfyElt6YmeoHTCTFmDH1PdDRBrmpqAuIEABAdDe3qq/2yvApjUBwO2G02MM7RPG8ePB4Ptm3bBimln6CfmJgIS7hixesFOjog8/JoKtLaSufZVCXUNLBt24C4OCgrVvh5X7DZwJqaoKxaRY7kps+Tec26XFCffx58+XIqMB0OiKlTiccRE+PnasDphNvjQUd7O6KiomC3Wulv5jEBeV9oN9wAMXkyLA8/TOIFOTk0+WtoAKKioBu4eGXFClKMSk0ldSjT9I9zkvK1WKgY7Aa/4evXQ/3Xv+g8CkHwrHPOgX7hhbT93RMp8/ppb+95TPsg9JNOIt5cWRmQkQEmJUEHExOhz5yJgoICREVFwWaz+e/djDHYN28mtazg+53dTvDL4mLoc+dSwWzeq8z7vvn6oOcAMz29goJVVkL94gvwrVshY2Ohz55NE9JjCOE5JnxKlwsR558PZcMG/4RTXb4c6gcfoOv99/u8YBFDhhCs7jDCX5wJAesTT8Dy5pv0HGMMMj4e3j/9iWBvP2Bwzv2+LiY01Zy6bFBVpM6ejbwVKxCxfz8Umw1i8GB4b7yRipdDxE+9WDkW8VNwrwd+Llb6LHRdR2FhIerr69GvXz+0trYed4UKcITFSmUl3dy7cVRkdDQpMR0i2tvbsWXLFozp7ER0cjJ1LP0fzkhdqLMz/DapKiUojY2hXVEhqDseBg4gMzLoQWwmLcbr0dHRs7AByPtk7VoiHZtFQ1UVRFQUOoOTRvP1o0ZBjB4NvnkzTS8UhbZv4EDiAISJxoYGbHc4MOiUU5BVUUFJVGQk5CmnQJx5Zq/Hjm/fDtbaCj07m4ohxkg5yyQPX3llTw6LxQI5fjzYl18S3Mt8IDQ2QkZF9TwGjEGcdRaUwkLqlMXG0jlXVZJc5ZyMAKdPhxg4EF0AxLx5ZHbZ1ORXQxL9+sE3dy4YYyFrXowcCR4fT5+dmUnd8Pp6+vxukDl24ACUzz8nM8kDB8i0zvResdmAmBgo777r77jD5wPr6gJraYH11luhffsttD/9KVRtR0oqfOx2KliNKYHMyACrqCAoWphzIKZNg/LKK/Q9bW3gJSWQuk5yxxYLJYCtrdA1DRZD7UcmJJAQgOGJwurrCaKVmAiRmAjvs89C+eILKK++Sudv7FggOpq+0OWiKVF0NCUqdnsAB97ZCRkdTV3x6mriphjFQMR112FEYiKklGhtbUVDQwP279+PgoICxMTEIDExEUlJSYi0WKC+/TZNTVpbIZOToV9wAfRzzglNdIUgaGBdHSnDxcf7CxJptYJ1dfkNOsXpp/uvMfWll6B89BHxabKzqbBatAiQks5JWhpkfDx8lZXoiIlBdHQ0rFYrySpHRZGiXnBER0PMmQNv//5Qn3qKJkAdHbTdl14KcfLJ9Dqz+LZaIRMTycDT7aZ96OyEjIigaVzQfYdVV0NduBBobobIy6NruLYW6uuvU3d4+nSo779P15l5bIyGhpg4scda6REm5HDjRoJ+9e9PMKYwMDT/W0aOhHb99VBfeYUggoxBpqXBddll2NTWBrvdjlGjRvlVLE0+pIyNpcmzEHRtmfsI+AtQMWQIlK+/polYair4/v2QHg+to4gIv/Gw3m3f2L59sN11F3hZGWREBJjPB3XNGvh27YLvuuuOGWfkWHA4LK+/ToWKxRJYC5oGZcMGWN54A75rrunT7zuSMPdX/fRTWF56iWCO6em0huvrYb3vPuhDh4Y2MX7g6D51aRs9GuWnnw731q1waRowdCjio6OR0NbWK9fFjGNJND+e41jydDo6On6erPyvRl/fDLu6upCfnw/GGKZNm4aWlhY0BXULj6c4IhhYYiIVK5oW+sDv6CB1pINETU0NduzYgby8PMTNmgX2wQehsBGXC0xRCG4SbpsMBR7lpZcg29v9MrastJQevGEcgeXkyZDDh4Nt20Y+CEYigpwciDAjajl+PMQZZ4B/9RVQUEC/jItDxxlnoDOcglhEBMTVVwMDBoBt3EgwrBkz6LO7d+g7OtDy7LPgn32GEziHdepUIvqnpxMM41DjfeM4MYTxWLBaw6v+ABDnnANlxw6gqAhwOgnaJSXEggVhH3hy5Ejod94J/umnwPbt9Eu3m5KuxkbICROg3XMPGOeQAMRFF5G877p1QEsL9MGDoc2YAZae3uO6kv36Qb/wQigffOCHoEjDEyPY0ZmVlcFy771kMqbrfhiQaGgg8z+DZK1s3eqfHDGPJ+CF4nKRZO1zz8H30EOBzq+uU2HR0QFeU0PvZQzMZqPXtLWFPYba2WdTsllURLyTri4wqxUyKQkyKwt6WRm5lmsa5Jw58F5xBUn/rllDnJaoKOhnnw3t8ssDxyIvD9oNN0CmppLPiMdD10NnJ3mTpKWBL1tG10lsLMS0aZAZGVBeeQUyMxN6Xh7YgQO0zXY7tGuu8RfYjDHExsYiNjbW73Dd0NCA+vp6lJaWYtAnnyB7+XIgMhJKdDTY/v2wPP444PVCv/jikHUlhw8HMwvC+HiacJrKd4yBbd9O3f9du8A3biSTvmXLiDtlJuTG9E359FPop58OfdQolJ94IhJffBHxigJuFCqsowP6WWcRvypMyNxc+BYupGve5aIJb9BDWYwfT9dBRwdd7xYL0NhIakUjRsB3//09mgh87Vo/R8e8xmRaGlBcDL5sGbTrr4fyzTd+mWkIAabrEGPG+AtbVl4OvmIFfU///hAnnEAQNAB8yRIShOjspOv022/Bv/0W2k03hULjgrdp0yZyGXc4IMeNgz5rFtonTMCW3bsRHx2NoUOHhnSizaRHLFhA/LC2NlIlFAK8pgYiJgbeWbMghYB26qnU+CgshIyNJShdQ4Pf7wWaBjF+PLRuHETLW2+Bl5WR6pOikClmQwPUTz4hNa5jlDwfi8mK+uWXIb5E9EsV8Hqhfvnlj16scM7JV8mE3QJ0zFNSwKqqaBtvuqn7G6F++inBzWpqyOvkkkvCKiL2ZXDO/fcajBwZMnUpLy8HY8zPc4mPj6emRFCYMMbjsZF7LONYTlZcLtfPk5Wf49DR2NiIrVu3IjU11f9Q6c0U8niIQ3qIBIWYMQM8J4fw35mZ9PCtq6OuXC+jaSkl9uzZgwMHDvgV0MSZZ4KvX0/GYQkJBDdpbSXZ08mToezfD18YOJY46yywffsoMT5wgDqLKSnQf/ObwE09OCIjod9yC/inn4KvX0+Y7zlzIObPJ+ftngcD4sILSZ51717qaA4bBg8AUVkZ/qBER9PnzZ/fq5yy8PnQdsMNcHz3HWxxcVAcDrAlS8C3bIH25JOHJbspxo4Fj4+HWlPjdx6Hz0c+DRde2Ksimxzw/9j77vA4qvPrc+/MdvVeLVvuTbaxXGRsuukl9E4oAUIghYQEQiCh5EcPBEKooUMA04uxDcbduKt3S7IlWZLV+7Yp9/vj3V2tpJUsyRL4i32ex0+ILe3Ozs7OvuWUSVAffhj8m2+oaQsPhzj5ZOinnjrgNFTMng1t1qyeRiA3F6ymhqhTxx1Hf9fURNcN5xAZGdAWLYKu6/0T6QEqVDdsoK1MVBTUX/yCmgZNI1pOn6JN+vxzsMpKSo6320lIrWmU0j5lCkRkJFFkOjqoAfUkyfsaX8YgLBbKefAaJgC0wYmKIi1TSAj9EYIexxO+FxCxsXA/8gikNWsgv/oqWFsbuZlFRMDpdqM7PByhkgRp8mS4P/iA3q8zzwS7/HIqBD0i8kDQzj+fXJnWrwdKSsgeOC4OkGXw2loSSh88COn99wHOwbdvJ5pKaCgFBEZHk/4oO5uS4Xu9kQLs4EFYACQlJiIpKQn6gQMwZGVBCQpCh80GoaowhIXB1tIC/t57wAUX+AptANBOPBHSV19R7k5nJ73fniBI1tBA59rthrRmDaQtW6Beey1tMbxuWgcOgO/ZQw2vpsF04YXYf+WVqDjrLETHxlIz1txMnPzly6HccUfg98ALxgZsZvQlS6CddhrpEDyZNzAYoM+ZA/drrwX+nHkF5t5rp7MTfO9esP37KT8lKgqu116D4bXXwDdvBkwmqBdfTMWixQK+bh0MTzxBWzoAgnPos2dDeeQRgDEqOmWZdHYANcxFRZBWroR66639Dkd6910YHn+ctqceOpD44QcU3Xor4pcsGdTqXr/8cuglJbTFamsjq/DwcDj+8AcoiYmAqkJNSYH261/DuHo1pL17KVtDlum9NRignXAClAsu6KECArR12LGDGlC/AktERoLv3QspJwfqSJsVIcAqKsAPHKCw0tmzew1exoQGNtj33WiE//ZFZyekbdvAFAXaggUD6lWAHhoYq6/vP4DyZk4FGHwann8ehtdeo+M3myF/9x2k7dvheuQRaKeeOqovZzD027p0dPhE+oWFhQgJCenlMHY0iuuBsQ3CPKZZOYZBIYTA/v37UVZWhunTpyPJrwDrm7NyJGFYKfZhYdD+9jdITz4JVl5OBV54OLSf/7y3UNsDRVGQm5uL7u5uLF68uKfbnzgR2gMPgH/8MVh2NvHOL7qI7IRNpoET4202aHffTcXzvn0kVD/uuEEpFYiKgn7jjdCvvpomVX0TkPuCMSA1tVdhw+vqhtbQBfhSdbvdKH/3XaTu2gVTaiokjzZDeIvM99+HNhSLz8RE6DfeCDz/PKyVlTQFFQJi5sxD2/COHw+9T+7DkF6LR/Mh5s3rF7jHOUdIYSGkDz8EKyyEnpgI9bLLgLPO6lVcsOJiGB54gLYA3mYuNhbKvfcGptEIAb5rFzWfnBOlKj7elxjOduyA1NBAFsleC2dZ7uHhe7dOYWH0M3Z7L9qgiI2ln3e5fFai0HWaLAfg6fsQHQ3tmmsgoqJgvPtuCKsVDocDTqcTIVYrDK2tUPs4QonExMBNsT9MJmg33QT97LOpITQaIXmyC8S4cfQ4kZHg27eDb9hAxx0SAtTXQ6qqosmp2UxaDz+wggJy8dq7lx5j2jSo110HubkZBocD0vjxMEsSNFWFy+2G3WwGr6pC0ddfw3bccT6RPouLg3LPPTBWVJDzXUwMRHg4eE4OPa5fhgarrYX0wQcQMTF0/KpKQwJV9W3DVIcDSW+9hdiMDLDrroP7/PMhvfEGpF27wHJzYbz7bnIq+tnPhq+FkCQojz8Off58OoddXaSVueaafoGfvvfIQ0eE200uhVu3UmaOqkKYTJBffhk8PR3u55+ne4f/Z7y1FfIzzwDt7T05Ey4XeHY25DfeoC1gczM13X7HKKKj6b7ncPTWRxw8CMM//0lNvOe4VLcborISc1avhuG66wZ//UYjlIcfhnrZZfT+WCzQli0Di46G0eO6pOs6tKlTYZ88mfKXjEZwo9En0g8IT85Jv0Le+1kbqWGMwwHDyy9D2rKFmiWjEfqkSaR38FABx6JZUc88kzavmtZr6wrOofo5ZI0GpFWrYLr/fjJ5EAIiOBju22+H8stfBh5seYp3PS2NdHH+AzBVJapun2R4VlsLw/vvk5bQs10VUVFg1dUwvvgiHGOsKxoI/lsXf61LS0uLb+sS7GmK3W53v63L/zLGcrPS1dWFyB/JiOGnxFHZrBzuzVBVVeTl5aG9vR0LFy5EaB+x8LAagh8Zwz02MXMm1FdfJbGt3U4hiwFE4V1dXcjMzITNZkNGRkY/a2QxZQq0e+8l/rck9XIRGvSYJClg8XxIDJDDMhQM2DwdAl6NzsQDB2AzGns7fTFGRV9mJrQhBlzqF16IjuhoNH/2GSbHxEBMmQL95JMDb5XGGKb16zHr8cfBdR0wmSBVVEDavh3qgQM9E2MhIL/4Im1JPPQR6DpYRQXkf/0L7v/8p/9GiDEqCv2KbzFuHKWq5+dT7osnA0TY7UQnc7noS91sBlwuos+EhNBUPTm518MLmw36zJlg7e00oTQaaVvjza8JAFZbC759OzUTYWHQZs6EtmcPGOcIt1rBvVqEyy8f8vnju3eTZqSkhLQR550H/bTTyCyipaX3JkZRyC1N06i4DQqiz0tbG23LUlJoU+Y93gMHKBCxro5S6QHwnTthqKmBev31ECYTFcpBQZBkGVZZpv8fGYn46dNR73AgOzsbAHwC/dj77oP5hRfonFVXUzMSHt5rSixiYigIMyODsnYqKujzLcuArkMxmaCFhsLU2Qn+/vtwn3ce5HffhbR6NUREBNmRt7VBev11ACCNz3BhNkO77jpo3sJe18FKSiB9/TWEJJHDVkqK7/OmZ2RAnz6dnMA6O6npk2WiUXk0LDwrC9L339MWzP893LmTTBAmTOhl3Y3wcEgbNxLlLFAooEdn1vczL23bRhuRhASAMShuNxwOB2zh4QguLISzufnQdFHGINLSoPkFc/ayRgYVxJrHKtv7376f5dz3p+fAJKgnnQTDf/9Lm3CjkTYidXX0eUhPH/yYBoD86aeQV60ii+qkJMDpBC8shPHZZ+F64gn6bI5BSKJy3XWQP/0UUm6uT6MDzqHNmQMlUJ7WCMH27oX5rrvI9CE8nDR/7e0w/uMf0MeP72Ud7IVXs6Jcey1ZptfUkHOcplHzPWkS1LPP7vU7PCeHmAme4QY9OQnyWWUlPYb/vw0VigJp927KD0pOpq3XYdRKgbYuNTU10HUdW7ZsQUhIiI8yFhIS8j9NDRtrgX2Kv1bzfxRHZbNyOOjq6kJWVhbMZjOWLFkScDrwv9SsACDh9iCWnQ0NDcjNzcW4ceMwefLkwW86AbQWI20ORhWKQtNWq3VEx9PQ0ICcnByMHz8eydOmkdakj7Urc7mIWz/UmzJj0GfNQpWmIfWkk4Z1PMOGN0GeMaKw+BfPqgrb889TOvu4cb4QS9bUBPmllyjPIzoarKoKvLiYCm/vjZlzX1AkKygI2HRqJ58M+dVXqXnwrLOZ3e4rZsWECXTdhIXR5LW42Cd6FiEh0CdOpOC1yy/vcSnzQEyZAmRmkq7IO1n1hFWKPo0NALCSEmq4amuJomW3o0lVoSxdivj2djCXC+qyZdCuvJI2KUMAX78ehr//ndykgoKIKpWZCbWuDto551AzYbf7pu6sqYmK6PBwEvR3dNDrV1Ww6mroiYm9NFh83TpqGqZP911vekgIeHExWG0t9OnTIe3ZQ8WN2Uw6meZmaOedh5jZsxED+IqJxsZG7Nu3D/lGI2LuuAOJlZUI6+qC7Y03qCEMUEhqy5dDTJsG+emnqbEEoHhMEUye18aqq8FqasA3b4YeG+sbeIjgYLDqakjffEPF3KE2oYNBUSC99x6kDRuoGROCtsMXXADt7LPpcxcUBOXPf4b83/9CfuEFMvkIC6Nr1kul0DSwvDygT7PCFIU+132KDiHLYKpKye1RUT3FohAUCpqZCREfD/nNN6GdfXZPIenX1LhcLrhcLlhtNkh2O201BgiCHC78mxFvZoumab7MC++9zrttYYxBvfJKSAUFZG7gNVkICYFy000Dam8GhdMJed06svX22hBbLKR5KisDz8uDPn/+2IQkBgXB8dlnMLz9NuSVK2mDdfbZUH7+854colGA4dNPe/RTXivp8HCwxkYYPvwwYLPibc702bPhfP55GJ99FlJhIQTnUM85B+7f/77/cMpi6XHk8/9+UdUeF8dhgu3bB9NDD4GXltJGx2yGtnAhXH/5C22tDxPerYumaejs7MS8efPQ0tKC5uZmHDhw4JBal//fMdaaFevh3Df/P8GxZmUYqK+vR15eHpKTkzF58uQBJ0BeXciRyM8czUZKCIHy8nLs27cPs2fPRpyHHvJTHhNAlBi2ZQtYfT3E+PFEz+jrOOSF3Q6+Zg2Jip1OYPx4GBctgj5YoeB2kw1tRwdEZCQqOEf5/v2+cyCCg4HXXiMXrOTkHjG300kuSsPAiBq5tjZ6TT/8QM3HkiUU4hnILlgI8E8+Af/sMx+1SEREQL/iCjpWxoB9+yDX1MAREgJndzckzmFUVciSBN7cDL5jBzmbqWr/7A2AXr8QYJrWP+8CpOPgHhtrXxMSHg6Rng5pw4benPbERCoW29tJa+R2Q0REQDv99P7FgNsNfdo08Oho8KIi6LGxYJoGNDZCnzmzv4ObrkP69FO6bmbOhFJXh86aGgR1dcEUFQXl7beHX0yrKuQ336Rp66RJPTz02lrI//0vFa+zZoFv3kwOdzYbhNsNeF6XmDQJKC4mioiiAIxBKisD/v1vKHfcAWnbNkhffAHRp3AB51REV1WRQcJf/wpeXEx0J6MRWkYGlBtvpAYqOLgXhWPy5MlwOBxoampCVWwsspubkT5uHCJKSij13GgEA+g8RUfTtuKssyhQ8pln4LBaYbBaKV9KCCrkZ8wAq6sjN7KEBJpwe2mH4eFgzc1gTU29J8KKAr52LU2cu7uhz5sH9dxzgQHuM3znTspziYujAsuj4ZE++wz6lCk9ovC4OKi//z1YYSFpM/w1Md7PfYCCT585k5qr5uaeADwhSM+1ZAkwYQK0Sy6B/N57YPn5tDWrqqLNhMsF6e23wdetg/LwwxBTp1LOT0gI1IMH4Q4Kgs1mg8QYTc2XLj30VmUE8H4f9du6eBoX731YCwuD8thjMG7aBLmsjEwjli712YkPG3Y7DSP6fn5MJmrCPWYXY6JZAYDgYCi33w7l9ttH/7E9YPX1gXWMkgQWKLcLvXNW9EWL4HzvPbq+DIYBM7i0BQugJySA19TQhsqTr8Ta2qAuX07N0nCgaTA9+ih4QQENNDwuj9LGjTBGRcF9993De7xB4H29JpMJ8fHxiI+PH1Dr8r+0dRnLWvCYdfH/MIZ74XtF45WVlUMqyv2T4v9XmxVVVZGbm4vOzk4sXrzYx0UdCQYtyO12yiDYupUoP+np0E8/vXcSux/Yhg1EK+nsBCwWoqds3Qrtjjt6J88DNGF/803wjRtJTGo2g2VmIqioCNZly4ATTuj/BHV14O+8A753L3RVRVt3N0RiIhbfdReCvddFXBzUu+6C/NRT5GQEACYT9DPOIHH8cM6NpkEfjllDZyekRx4B370bwjMp5nl5YHv2QLv//n6TRJaVBf7BBxAWCwnTdZ2cnh59FDhwgALNJAkGzmExGmE2GinvxemEUFUITUP3m2/COWkSQidMoADE0lISr3sL87o6iJgYcmAKhKAgKPffD757N2kuLBboCxeCFxRA2rixtxU1AOZwQM/IgPLqq74cmL4cbeYJxmONjWSP67E6FhYL9PPPJ4pP32u2vh68ooIS1nfsAIqKEC4EZM6BtWuBf/6T8kkC3D9YTg6k1avBy8qgx8VBP/VU6CeeSPkplZVEn/L7PREbC75vH6XBn3UWXecFBfRaJYmKdrfbZyUMSSK6UlAQRFQUpBUryHVKCGqyFYU2X+npVLwIAaYopDlJSYH71VfJ4ayxEcJoBC8uhvFvfwNAgZvaxRf30nlYLBYkJycjOTmZpqEGA4VJ7tsHF2OQALCQELhvvx2SZ+NVeeqpiH/9dVj9N0Ge3BX15z8H37SJGoT8fOLbjxsHfdYsykjxUvm80HXIzzwD6csvfaGP0u7d4Bs2QHn88Z6tlhB07tevp5wXu50aPIAa9bg4sPx88Px8aH1E4fo550Das4dE96GhdC4bG0kbF2CTKSZMgHbBBZA/+MDnysY6OyGio6Fdfz1tQk89FUpyMvh330F+9VWI5GRqkrzOYiUlkP/7XygPPggtLg6V55+P2HfeQXB7O2myVBWIiYHy+9+PmT2wPwbauui6Dt1mg9MzAPBuXNhIi67QUIj4eLIB998UtLcTVdOzrRmzZuVHgD5xIr1n/gMbb7MeoMkTQvR/vYwdOgneZoP7r3+F6d57waureyiOU6bQJmaY4Hl54MXF0BMTe7SAwcEUMLphA3DzzYcfyulBoJookNblf23rcixn5fBxVDYrw4Hb7UZubi7sdjsyMjKGdFH4Nyt9tRs/NYZlXTwAuru7kZWVBZPJhIyMjOHdPDwZGT7bWQzSQLndkJ59tmfqLMtg77xDhfe99/YX2nd1QfrkExKser8cPLQh/vHH0GbO7L0237sXbNcu4rR7CiURFQWek4PwXbuA66/v/fi6Dv7hh+CFhXBPmIDa5mZIBgMmNTaCbdwI/aqrfD8qli+HkpYGvnUraX2mT6dmyeOmhri4gJQa37Ht3g3p5ZcRtn07Tuzqgjx/PvQLLqANySDuMnzjRvDMTCqQvJNrp5P+bvNmmoD7P8+2bVTwp6YS/WX3bvB9+yjh+rHHwD77DMpdd1G+zLZtYJJE2wyzGcxuh26zQWprQ+fzzyPrwgsx/sQTkVpZCWNJCZjVSo8dHEzF3GCfHaORptNLlvj+SouKgjRxInhpKRX7RqNv6qheckmP3qXvuSsshPzJJ/TaY2OpKamtJQ1DWhoJ/Qc5h86KCkgFBZCDgiAHBRHdoqUF0urV0E8/nRoC/3O+fTvkZ54hylpoKHhtLaTsbKgNDdCWLSMNR9+G06vdMpuB0FAyrfAYKYiQEKCrC4ZHHwXLziYnNaMRwmz2BZOylhYqbMaPp6agrg68pAQiJAQiNRWsuhoiMpJsdb3n9/jjgaYmGB56iJptTwMlrV0LVlEB5a9/7UejA+jzGXbiiWAffQT+xRcQ+fnoCA5G1bx5qI2IQND27WCMwW63I/T112F59FHw3FxfaKf7nntIt/T++zRlVhQIt5sMJ9ragOhoqJde2otuwnJyIK1aRZQhb3GrqmB790L6+GOov/2tTyMlv/oqUc08QnnW0QHtjDOoQfA6f/UNRAWgnXsueHY2ZfF47JkRFAT1+uuB+noY/v532iicd55v+6LecQfExInkttfUREGJF1/c40AHoh6K8nIyi5g8uedzzjndX7Kzoba1Iae8HMoZZyB62TLoK1eSpXJaGrRLLx3cMVDXaXtcU0OfKcbo/Q4Lo43MCAuXgbYu3iYmEF1syI2LJEE9/3wYn3sOvLwcemQkmN0O1tpKVsieBnMsNCs/FtSLL4bhrbdI1xQcTO9LZyeEzQYlgFnC4QQkascfD8cHH0D+7jva7E2YAPXUU3uym4YB1t5Om84+20RhsYB3dJBebZSalaHkjQy0damurkZhYSGCg4N9DmP/v2xdxrIWPGZdfAzo6OhAVlYWgoODsWTJEqI1DAHeadWRqFs53M1KY2MjcnJykJSUhClTpgz9RutwgH/2GWWaeCgx+kUXQaSnD7hZYZmZYNu2UYK198OoqmBFReBr10L3z4gAaIvhFcD6/pJBJCSQm9jBgxS45UVNDW0I+tzgRWQkrHV1/Sb6qKwEKy2FIz4eNfX1sNlsiB03joIOs7KAc87pvbqPjSXHM1ABzV94gQoMzomedvbZQABhHMvMhHzLLTQFdzhgdjrB16wB37oV+ldfQbvvPgg/QW2v383NpSLY32DA0xiy/Hygb7PinYIDYGVlpOUwmWjSHRpKwWSPPw73vffCuG8fcZoZI3602Qxx8smwhYZiYmcnIpOSUD9hAvKNRgStX4/wlhbwceMgn38+zCecgGF/pQQFQXniCciPPUbc+fZ2skK+/npq2gYA372baFRTppAN6/ffgxUX02aluBjS559Du/xyqDff3HvbERODxvBwBG3aBKMkgXs3L3Y7TRbtdkgrVtAE1a+AllasoHDM6dN7Hq+2FtIXX0A7+WToxx0Had066DYbXU+aBnbgAPTUVOje99GTOeRPk1OefRby3/8O9uWXQGwsFQxGI+XRCNFjVGE2k+NUfT2kwkLonEMkJEC94YZ+eRjS1q20/Zk+3beN0iMiwIuKKKH+0ksHPK8iORmax2o4CMAMABMcDp8DIABkOZ2YunAhogwGmDQNLCiInjMvD8JggEhLA9+3r6exqK+Hcu650PwafYBCUeF0Av60MFkmytqWLcBvfwuWl0fbC8bo51paiHpVWQmem0tNpccSuF/wJAAYDFD+9jdqWjIzIQwG6LNnw/DIIzDs3Ol50QKG556D+4EHSMQvSdDOPTdgmGjvF9AzWfcH03VonCMzOxtScDDSFywAl2UoQ7Wb7eyE/K9/0Rayu9uXQYOgINpWJSVBefhhyqA5TAy2dTmkSD8AtJNOglsIyF9+CVZXB1gsUM4+u2fwgDFuVoQAWltpwBEgVPiwHz4uDs7XX4fxgQco60oI6JMnw33PPf0GHHQ4dG2M9PWK+PiATdBwoY8fT/TG1lYyVPCAtbZSOPAANuwjeq5hbuaGunXxbl6O1K2Lpmkwj8U1J8Sxzcr/MobSidfU1KCwsBCpqalITU0ddvd+pGatSJIEd4Ap46EghMC+fftQXl6OmTNnIiFQaOLAvwzpuefA16whepDFQs46xcXQ/vxn8NTUgA0U27uXJtD+H0RZJpFydjbQp1nxZW/0bXy8a/m+Ex2bjb4kFaWXLoI7nVA8m5xex+NwwNHWhgOKgqjYWISFhdF1YbHQZNbhCMwzrqoC/+ADoLOT6Cu6Ts1Lezv0AJkx0quvklUx52BCQLNaaRrlmUZL//oX1BdeCBwMabH0D5EEif1FgJulmDoVfNMmCFWlPB2vhbHnvIuYGPCKCvCDB+H+5z9h/P3v6VyGhkKfNImm4Q4HWHMzgjiHLTUVSE2F68ILKZiwoQHqrl2IWrkSoaoK07RpMC9fDj6Qhqjv8aWmQnn5ZcrB8VJ8BvOU97oWeRpQVlAAVlxM/99sJs2LEJA++AB6erovnFLTNOTn50ObPx+LNm8mekV7e8+1094O3toK9uGH4Lt3Q738cmgXXQTmdJI2KTa2P82rtBS8ogLqHXdQEb13L5jn2tTj46HeddegrnUiPh7aNddQYGBwcE/jrChUeJlMPc8ZFERal6AgKI88QpS7AOeJVVRAyHLvz4IkQZhMZE/u/7M1NeA//EDnffJk2kj5XXNutxt5eXngnGPp0qWQZRmOzz+HnJmJptBQOI1GWMxmhFdXw7Zvn48OpU+dSpQnt5sC7U48sf+xevQu/TQAuu47D9LGjVSojxtHf+9y0YDB7aaNpstFBgwZGdDnzAl8kjmHvmCBz1bb8H//B2n7drpPmUz0/O3tMD7wAJxLlw4pIwnwBFZGR5PYPjnZd5/RGxuxPz0dlshIzJw5c9iFqvTJJ5A2byaji/Z2sgCG5/MdFwdWVQXD/ffDtWLFwBsWIei8DRIu2xeH2rp4v+sG3bowBu2UU6CdcAJtIW22ftP8MRHYA5C/+grGJ54gGprRCPXCC+G6775R1wXps2bB+dFHpFVyu30OcwF/1m9T9VNCpKRAO/102kZ73BVZezsYAPdllx2Ws2ZfHK52o+/WpbOz09e4FBUVHbFbl2M0sMPHUdmsDAZd11FcXIy6ujrMnTsX0cMVq3lwpDqCjeS4VFVFfn4+2traAlo1HwqsuBhs82YS1nqoHiIqimggn30G6Y9/DKxZ8RZnfQsWRQkogBUTJ0IkJ5NGYMoUX64Gq6mByMjoR/0Rs2aRxqKsjGgeRiNNZ+12NM2Zg2TGfNsAIQTKurpgUVUkmkyw+jUYrLGRRL0DrMp5VhblL8ya1fPc06aBFRaSQ9bSpX4HJYiaZjKRpa1nEu8VqcNopKDM4uL+GhwA+oIFkL79Fmhp6Tme5maiEQWY7unLloFt3EhOYG1tVPR1dgIhITRl83yxsI4OiFmzoKenE7XBb+LNGhshIiPp/fXAZDIhMTERyQUF4Dt3Qunuhh2AUliIju+/R9vVVyN4/nxERUWRY1RnJ6Tvv6fMFcagL1pE4WaerIuAidlOJ7l2WSx0/hmjn42OJkpUXBz43r3090YjFQ8e4SorKSFjgOOOg8vlQnZ2NjjnmHPhhdA7OyE99xyFIZrNYOXlpKuQJCAmBqyyEsY//xl45BHieQvRvxH0WPgKjzbD/eKLkDZtoiJGliFUFdJHH4GvWgV9yRKiawXY3OoLF0JbvBjSxo1UQBuN1BQz5qOa+K4bRYG6dGnAqTrftQvSV1+RrqOxEXpYGDVY3vfQ7e51/fLvvoPhX//qoUcZDNAXLYJy331AcDDsdjuysrIQFBSEWbNm+b6IQ/PzwWJiYEtNhaoo6O7uRltMDExuN5SaGmhGI4xGIwxe+l5QUK9pru91L1gAhISQiN/bCDqdYN3d0E4+2ff++47fYwHttdmFpoHt3w/t2muh3nLL0AouISB99BE1c96fZ4wGEK2tFOz4618f+nEAICoKyq23wvCvf5F7HWPQdB0NsbFwXXklZs2aNfxCym6n6yA8HLBawfbto+vZbKZz4XJBJCWR29zWrQG3jzwzk4T+BQWA0QjtjDOgXnfdsB2f+m5d/P8ccuviCWsNhLHQrEjffAPzLbeQuYTBADidMLz3HnhBARwrVw65YRsyGCNq8SFwODSw0Yb7t7+FiIyE/PXXpDNLSYFy6aVQBwh/HilGs2jnnCM0NBShoaFITU2F2+1Gc3Ozr3kB4NO5/NRbl2PNyuHjqG1WGGP9JtBOpxPZ2dnQNA0ZGRmHZQd3pAZDDrdZ8RYlBgBLEhNhHCxIbwCwffuIguN/A2eMksn37oXkcgU8JjF3LukN6urISpcxmnZrGukb+sJkgn7ttZBeeolyYbzUgtRUysTo+yVos0G/8UbwN9+kqbKmQQQHQzv9dDTGxvr4taqqIicnB91OJxZddhlsq1cDFRU9q3NJojTxgW6G9fX9J8ee3AXW2trbIcuvOPL9f3i+xL3TdE0LyMEHAJGRAf3888G/+YZob0IAViv0Cy6AWLSo/y9ER0P705/Av/gCvLaWAjETE2n1bzBQYSxJRH2y2aCddRbkd94B27uXaGLt7QAA7bLL+r/GlhbSA1itMEyejFAA0HVoubmw7NmDkthYFBUVIVSWMWPFCoQWFoJZLKRF2L4dbPduqPfc078xFYJcoj77jMTnBgNx/a+/HiI+Hnp6OnhpKTnwOJ1UyHd2UnHvoXYJAHC7fVbkYWFhvkm3dtFFkPbsoWuoo4NeoyRR89LVRUWxrpNOor4erKuLdBInnuh7f/j+/dAnTuzRMgQHQzvnHLADByA/8QTpgoKCwBQFfM8eaOXl0G66KaCTmvLYYxAvv0xJ5U4n9EWLwMrLwevr6XVwTgVGSAi0X/yCfq+5GbyyEkKSwCsqID/3HDVcjFG2yfffQ8vIoGa9tpau+4wM+t2DB2F4/nmyYfVqLrq7wdeuhXHfPiico5NzjD/nHCRceSWYvw6su9v3OZANBoSGhSE0LAxSUhKk1lY4OjrQaTSCOZ0IamuDMm8etGnT0LeVEJMnQ73mGshvvUWNp+dcaAsWEG0Inu3Fm28Cra0+XQ8kiYrSiRMhQkLAq6qGNxnu7u7/HniaYHR1Df1xAOhnngl3air4li1w1NWhDEDQ+edjYt8hg9tNTnhdXTRACWCpDYA+i243hMVCzbB3iOHZwApN82XceN21er2M7GwY7rkHrLkZekQEWFcX5DffBCspgfLPf464aA9EF/M2LkPeungwFs2K6R//oGvCL+RTqCqk7GxIa9cGtBT+MeDdIh0R03+TCcpNN0G55hq6l4SGjjz8cxCMpSuW0Wg8YrcuY/W6dV0/plk52tDa2ors7GxEetbzh9sF/y9sVpqbm5GdnY0pVVUYv3Ej+IEDxDtfuBDarbf21n8MAmGzEb1IVXt/ITqdQHg4uMUScLMipkyBfvnl4B99BBQU0F+aTBCnnQYxQO6ImDMH6l//ShP61lYgLo6mtANsPcSUKdDuv582C3Y7RFIS9KQkiLVroes6nE4nMjMzYbFYKOySc2gxMcSbb2sjS9STToIIxBEXgmhItbVAZSXpU7w3LE+Ogggw0dQuvhjyU09REeJy0e84HLQd4RzwBEQGhCRBv/VWiOOPJ/2K55yIWbMCugsJIcj96pZbgLlzYb73Xjpv3d1gbW1g7e3QFi0icTYA/fTTodpslO1RXw99yhTop5xCwl4PWFUVpK++Iq1IWRmFyHnpVJxDSk5GVGsrQqdOhctigWPFCpiyslAfGQmYzTCbzbAIAfMPP4Bv2QJ9+fKec8Y5+LZtkF9+mc5fTAwZMWzcCNbWBuWhhyBmz4b2s58RvS0oiHRJUVGUD8E5UWBkGW3jxmHXrl0YN25cb6pnRATcDz4I+csvIb3zjs+dS4SEgGdn91AKhQCioqjAamujLY7n/RXJyRSW2aeB5WvWgFdUQJ8xo4ce0tJCmpZlyyACOaaFhkL905+g/uY3dOzh4WA1NZAffRTSunWAplER//vfQ583D3zNGkhr1viaKr5nD9GvPMnqLCiINks7d0J0d0PExEC94grf5k/auRNoauotDne56PO/fz+0iAgkMga5uBiKqkL7+c99h6rPng1p5Urasnl/t6ODXq/VCmt+PmytrdCMRnSlpaH4yivRuHUrgoODERUVhejoaAQHB4MxBu3aa6GnpVF4osMBffp02kB5mmJ92TJoJ55IDbHXFc7phAgKIoqiqtKgo7k5oHFAPzAGffFisj/2utkJQZtGpxOsogJ89WqyQh+MiugHMWUKakJCUFBQgOnTp/ejz7KsLBj//GfSISkKEBwM9ZJLoN59d/9iMTycNseFhfTehITQa+Oc7LwtFjpWsxl6gE2k/OGHJMaePJmGRQBEaCik3buhbdvWY8ZwGBiqNbL3Z/tuXUa9WXE6wYuKaFvm/7ge0wspJ+cna1aOSDMBk4k0i2OEHyvOYShbF+/G5cfYuozVZsVut0MIcaxZORoghEBVVRVKS0sxdepUJCcnj8rN8kjWrByqWRFCoLKyEnv37sVchwMJ778POBzk364o4KtXg9XVQX322SEFUIn584Fx48DKy4luJcs0se7ogHbppZBMJt8Urq+No37RRdDnzqUiUVEgpk4lcflgH/z4eOje9XVnJzl4ffcdTddOPhnaFVf4QukAEI3Io10AQCntAJqamlBYWIjExMReZgLihBOgLV1K2w1/3YA/WlvJQnjHDqJXdXQApaXQzjsP8AThicTEHtcyP+g33AA9Lw981SrA4YCsqmAmE4morVZo11zT33bXH5xDpKUNKML3ol8o3MKFUB57DNKbb1Imh8UC9bzzoN5wQ0/RzTn0ZcuoOfEaEPi9flZeDsNf/kJbDSGoEN+8GXpLC+VKMEZZJx4rXpPJBFtVFXhICCzjx8PlcsHhdKLV6YS1rQ2dq1bBVFGByPXrIXkLLYeDKC9Tp9KT2mzQrVbSAWVmkkZh8WLoaWlgp50Gw5NP0navoYGm0aqKjrlzsctiwdSpUwPrr2JioP7iF9DHjYPxT38i2kpXl89GF6ra896HhkJ0dEC98koyJggLowyXvg2yEOB79pBQ3v/6DQ8nS+yyMmj+zYqqUlp1TQ1l36Sn+x5TJCVB+fe/oXR2klYjMpLObVYWOeLZbNCnTydDh/Z2ul482SYiLo6cfmpqoF55JQUm+n8evPQqP4oZLymBcLuhGo2QUlIgGY1AfT3kV16BdsYZYM3NkNasAc/NpZDH0lJqECMiwCQJ2kknQbvhBqLUVVZCREXBlJaGOR4NXVNTExobG1FVVQXOua9xiZg1a+BAWoMBylNPAbGxkF59lehF8fF0jwkKIu2SxXJIdyxWUUEGACYT1BtvBN+xg1znjEafnbAIDwdraoLhhReg7doF9fe/H1LDUlVVhbKyMsyZMwdRfalPbW0w/u53tNmKiaHrqq0N8ttvQyQl9WoCAVDq+gUXQN6/H6ykBHpCAqTGRp/xBGtrAxwOaGecARFAo8Nzcmhi7n+/slqJMldWFtiqfShwOsF/+AG8sJCa4vR06PPmAZ4NyoDWyH73Hu/GZdSLWYOBtDF9N026TgGmo+RyNRL01eewxkayP6+thZ6cDPXMM0fNMvhIwVDcwMYC/lsXIYTPYezH2rqMVbPiNTY51qz8D4MxBlVVUVBQgObmZqSnpyO8b1LsYeBI3awcyqVM0zTfOVmwYAEiH3uM6Al+k3wRFER6ix9+gBiKi01QELTf/hbSs88CFRUUDmi1kg3sRRf1+jLr94FmDJg4kWhIw4XDAfnXv6ZwRA9dgufmgn3/PdRXX+1doPV6SrpR5eXlYcaMGUgKlNjscWEaCNK//w2+bh1NmJOSKMOjrAzSN99AP/lkCoU7++zAX0YWC9R//xtsxw7wlSvRsGULImNjIU2fDv3MMwPTuYYJ/xRrejme92DBAiqKOzupERnoNXqF+H1f94cfkuB86lTaLLlcFFJZUkLT7tBQsIMHyVrWe4OVZaKxMAaT2QyTx85XNDfDUFwMac0aOIQALBaYNmyAsbGRmreSEojExB4xuRDkzOaF1Qpx3HFwP/sspC+/hLRuHYQso2buXJTMmIG5ixYd8jOvL1sGfepU8MJCKnwBXzijLy/C07Tpp53WO9TQHw0NkL79tqfpNhjIetubRQPQ9NeL5mYYHnuM9E6KQg3opElQ/vzn3iJvP2obAGqOVbVHP2Qy+TQNrL2dimKAtkUhIdAXLer3OdCnTqUhRHs7aRmcTugeWiIPD6dGBaDmuaoK8n//C/7DD2QK0dXVk4JdXg6YTFDPPRfa1VfTc06Z0m8raDQakZCQgISEBOi6jra2NjQ2NmLv3r1wOByIiIhAVFQUoqKi+lNzrVYo994LNDSA5+eTlbPZTAOCtjbo1147cFOhaZCfe46CQDs76T2NjYXyu99B2rkTfMMG2lTOmEHbWaMRwuGAtGsX9C1bBnWkE0KgrKwMNTU1mD9/fkCdn7R2LTVU8fE9W5SICKCuDvIHH5D7WJ+iSc/IgCpJ4F9/DV5ZCc1qpSbF6aT77LXXQr3ppsBb1IiIntwn3wPShnfESe4ei22+fTsNAgBIn30G9ZJLoN14Y6/jOJRIX9M0KIri+/thWSMPBEmCcvXVML7wAoRHRwYhaNtqtUK94ILDe/y+cDohr1kDnpNDNthnneXbaPaFf2PG9+yB+fe/Bzt4kP6RMRhffx3O558fOJ/q/0NomvaTO3YxxgJuXVpaWpCTkwNg9LcuY9msGAwG0n3+j+OobVbsdjv27NkDWZaRkZEx6rZyR2qzIknSgAGMDocDWVlZ4Jz7zgnzZDf0gslEvOiamoCJ5IEg5syB+uyzYHv2gHV3Q4wfDzF9OjUQng3UaH+g+erVlCMSG+sruoWigOfng3/yCTlx9YGu6ygsLAQAzJo1a3iuZ140NIBt2EDTeO+5i4uDbjYTDeOccyCWLRt8O8Q5REYGtIwMZH733ZAzfoYC/+mmd6LZC4yNyK8fqkq2wRERPgqQPn48eFkZWFMTpD17IJKToc+c2Yt6oS9YQHSmjo6e521vh8QYgg4ehIiKgh4ZCbfTSbQ6pxPC6YRwuWiiX1VFomvGAk5KmcvlMytob2mByMnBwvR0mIYynLBYyD750UchZWfT9Nvl6nlvnU6wzk5oy5cP2KiwykoY/vxnSqHv6KC09uZm6PPmQUye7MtE8Z+Gy6+9Br5tG+m8bDagsxNs+3YYbr0V6r33EhUpAKectbT0yp4RUVGkDauqoqYHoEl6XR30tLSeAEU/iNmzoZ18MqTVqyFaW2F3OGBzuahB9A/E1XWanm/aRJvXuDhI333X08hyDmG1Ql67FvrXXw9qi+wF59xnRTp16lR0d3f7ti6lpaWwWq2+xiUsLIyKPYPBF8LKS0vpddps0JYvp23XAJC+/hrye+8RTdWbM1RTA/njj+F+803wb7+F9OWXvTJUYLFAyDL4nj2+BPp+DYXnHtLa2ooFCxbANkCzxBob6Xf7vI/CbKZ/82pQ+kBfuJCaJ6ezZ7vX0UEN5iCFlXbOOZCffpponmFhPgttERNDeUAjgLR6NfjWrXSdeq+7xkbIn34KfeHCgCYgXvhvXTRNQ3FxMVwuF8LDwwPSxbz/PVy4//hH8IICyJs2URMtBITNBue//93LZOKw0dICy80304DBMwQy/Oc/cN99N5S+WzL4NSuKAtPf/kb5LPHxPt0Vq6qC8aGH4HzvvcDb+6HAbofho48grVpF96n0dKhXXvmTNUA/Fg1sOBjK1sXbvISEhIzo+Mdqo9Td3Q2r1Xpk6J7GGEdts5KXl+f7QhyLD8//bwL7lpYWZGdnIyYmBjNmzOihPCUkgOfm9m5KPDf8Ya+og4NJ3xHgmAAM2EQBoAagpYWKxEMl/B44AL5+PaQXX+wJ2fN+qRsMVGxs3tyvWXG7XMjKzoaqqpBlecTNAWtrA/MWtP4ICgKamnqEwEPEQDk0A0LTwDZuBN+8GWhroyDE5cuBpKReG5VejYquE2/ebieB70iaFU/hCLu95+/CwqDPmAFWUAB9yRJo555L2SJ+BZy+bBm0zExI338PePjEMJmgz5gBacsWIDISnHOYOzvBOzsBg4FSoTmHKkmQm5uhbtwI10knQZ8xA73GDh0dkP/1L4jSUjSYTEBwMBIdDvC334YSExNYI9IHIiUFyosvQq2oACsogOGZZ8D276fiQpKgzZsH5Y47IH31FZkaREdTI+IxlJDefJNCGKdMofO8dy+FOG7fDr2rC4iLg3rVVT15Bs3NZFccHU3nqakJPCuLKEm1teC/+hX0JUvgfuKJftarIjUVvLiYNmaeQER94UJITU1gTU2kRQKgJyVB/d3vAl+HnEO96y6okyahfcUKSF1dsE6fTjQ67wRPCHLqCgmhaz0ujkwqvIGvQM9/d3ZC+vDDITUrfWFTVQSXlSG1sRFaSAgaExPRoCjIy8uDruuIjIyk5iUxEeKZZ2ii3dZGGiOvI+AA4F9/7dMdASAaWXIy0cLWresRrvv/kssFtm8f5LIySJs2QZ8yBdo11xDtD1R05+bmwul0YuHChYNOPHWvfbeHnucF6+4mGtVgAmevZboXQ3Bo1C6+GKysDNK33xLNDQBiY6H88Y9kYDIC8M2b6T3233hFRQFFReBZWdAGaVa80HUdBQUF6OrqwsKFC2E2m0dmjTwQbDY4V6yAtG0bDVPCwqCcc86o2xYbX3iB8nrCw32udKylBcYnnoC6dKkvWNQL7z2Y5+SA799P3xfez6MsQ0REQCooILfKQG6Ih4KmwfTgg3Rf9dhUy199BWnXLrj+8Y8BNz5jiSOxWfFHoK2LN9cl16MBHcnWRdO0MXndXV1dAw5D/tdw1DYr6enpY9qNHsmbFf/jEkKguroaJSUlmDp1Ksb1mQ6Lc88FcnNJqOoRM7OqKohx43yi68OF1xEl4Pnq6gJ/5x3Ke+juBoKCoJ90EqXFB9qGVVVBfuYZErQ7nYCiECfc6aTUeKBXVgNAgY2uVavQsmsXJsTGIurCC7HRw58eCURCAn1heQPIvGhthQgOHpKtpT98zYrDAZaTA1ZYSM5l06b1OKb5nlyAv/Ya+OefU6FlMoHl5oJt3Qr1L3+Blpzcb6PCqqshvfEG6VQUhfQRCxZAP/HEQXMCAhwo9FNPhfTWW3TuzWb6wm5uBsaPp/TvQEWRwQD1d7+Dfvzx4Hl5pFWaMwdQFEg7dlDRazIRzUgIKuIYg2QwQNI0CM4hCYHi885DQ2YmgoKCEB0dTdP3PXugl5SgNjQUJpsNUVFRZEddWAi+cWNvjUhf6DqFiSoKbQInToSYOBGuM84A37CBKDzjx0PExEB+910q3s1mMJcLfOtWqFdfDTF5MqQdO3oKEUkiilx0NGWeLFoE9cYbib7kgTeDBKGhtK3Kzgaz2yFsNl+IKd++HYYXXoBy//30S243+KZN1NTs3w+prg7a7NlgnIO1tVEzlJpKzXt8PLRTThlUdO7QdWQlJ8Ny331IS0uDUlYG429/Sxsaz3UmQkKg3nILpC+/pEmwv9bF67TIGITB0ENvGQZYVRUFIJaXQwCQACQkJSHmttugn3ACOjo60NTUhAMVFaj97DMEG40wLViAyMWLERQUdMj7O2ts7E9l9Lr0tbVBX7oU4ptv6HMcHk4ubxs3kqYgJYWc1nbuBC8thfLII3DOmuWzwE5PTz9kYrXuaa55Xh4NVAwGcjUzmUgnNtowGqHedx+0iy4CLyoCLBZygDsMXQTzUBR7/6XHPW0I909N05CTkwO324309HRf8XdY1sgBD5RBW7IEWiAXydGAJ+wSBkPPd4tn08saGiCvXQulT7PicwNzOnuc3fwhSXQPcjiGzGDwB9+9G9KmTUT99A7ePPcd+f334X7ooRE86uHhSG9W+sJoNCIuLg5xcXEj3rp4G+6x2qwcDXoV4ChuVsZ68zHS8MWxhn+z4qUrNDQ0DKjZ0c84g/QWH39Mk1ODAWLqVGh/+EO/MMPDPa5AzQF/6y1IK1dCj4uj8Le2NhIQcw79+uv7//x33wGVlSRcDw4mJy6PW5MIDfV9geqnnw6A7Dxdzz2HjupqBCUmIrSrC+yNNxA7ZQpNN0eCoCDol1wC6YUXgOpqet7OTrCuLuhXXgkkJg79sWpqkLxyJYLffBOyh+Kjz5gByDIVceXl0C+91LepYGVl4KtXAxERvs2OUFXSGH3+OcQdd/TeqDgckJ9/Hry4GHpyMk3BN26E/NVXELGx0NPSoP7yl9AzMug8ZmdD2rWL0r6XLetHI1IvvRQsP5+0GZpGRWt4ONRbbhk8CVmWSRjvtc8FAJfLRyMTXic1T4aGCA2lab7bTZuIWbOQdv75Pv6xV6ydsGkT4ltbYQ4NRVRrKxXr0dFAUBBx/gc4HFZcDPmVV8jhS9MoEf7qq6GffDJtfbx6BV2H/OyzQFMT9JkzfS5LrKyMcjluu43eA/8HlyTKFmlthb54ca9GBaAkbBETQ+J4s9nXqEBVqVELC4PgHHzlSshBQTTtr6ggq2KPUxmrrYXU2Uk5LWecAe3MMw+9kfSgo6MDWVlZiImJwbRp08jmfepUuN58E/LKlWClpRDR0dDOOgtixgzw8nLwH36gLYu3SFVVKtqMRjLSmDMHaGyE9N13tMGLioJ26qkDhyx6gjt5WRlRVmSZNoalpZDeeQfioYcQGhqK8KIizHj8cWD/fmiKAldQEMrPOAMHTz8dUdHRJNKPiAhYKIi0NOCLL3rnOLnd9B5OmgR9xgxop51G2pLaWoj2dqLPJSTQpFuSqBgtLYX473+x68IL++XODAqzGcoLLxDFcPNm2mqOG0eftzPPHNJ7NWwwBjFzJrQAxh4jgZaRAbmgoMdsAyCtk8kU0DzEH4qi+GjH6enpkAfYJPVtXACM3tZltODRwQw42PHLBPLCW7hrs2aRgUNbG92bPPAOFgI5uw0FUmFh/1BlzoGQEHL865tf9iNgLPNGxhqDbV3y8vIghPA1LhEREb6tqrfeGis3MJvNdowGdgwjx5G8WRFCwOFwICcnB7quY8mSJQNrdjxNgX722WClpSRanjVrUG70QGAFBeArV4IVFUFEREAsX075JLIc+HzV1YFv2wY9Pr6n0IqNhS4E+MaN0C+4oHfDpOvkeOMJMxQpKRDTp1MoW2cn2P79QHAw9NNOg/6zn0FoGtr/+1+4a2oQtHChb0IhDh5EVFYW0Ng44qmjfvXVgMEA/sknRF8LDYV29dXQr7tu6A9SXQ35vvuQlJ0NyWolGo7RCM4Y9LPOgtA0sJISsjL1JHCzkhLKFPFkNQghIDiHiIwE37MHXIhek1CenQ22dy99IbpctMno7iaxt8sFVlQEwwMPwP3005Dffx/S55/TFy9jgM0G9Y47oHqzPQAgPBzKY4+Bb91KTYbNBn3JkoDaiEPCZIJy770w/vWvvkRoCEENc0wMFYuMgXFOjlbozT+uqqpC665dsHV2Qtq8GZrbDc4YmNlMBb+fA1wvNDXB8NhjtEFMSqLiv7oa8kMPQSsuhn7qqVSsMkY5K5WV9HN+XxgiKQmsuhqstRV6ejqk1auh+7mAsYMHgfDwwA2x0QjtssuoCTpwoGdrIQRpRkwmsM5OCv97+mlqDrq7qbk89VQKEnU4iHp2/PGUMTRENDU1ITc3F6mpqUhJSen9JRgXR+LtPlBvugmGhgb6nEkS0QANBtrqNTb6souMv/wl0V0AMCEgrVgB5d57qQHsA3bwIHhREYVueotYSYJISQHfv5+E4kFBMNx9Nz1HbCwkSYKtqQmzV65EQno6auLiUFJS4tNBeLdtFg99Sr3sMvAtW2jDFRFB57mtDSIuDvJLL8Hwu9+R9mXZMmizZoFnZhLFbObMns8QY9CCgtC9fTsibrwR06ZPH1bhIOLjoTz3HJT8fLL6bm4Gq6oC37WLjC6O8CJEO+ss8O3bwfPzaZPqGVBoZ54JfaDPFwCXy+WzhJ89e/aQC7m+2pVR2bqMBjiHmpEBec2a3jomh4MGMZ77sz981sVhYVBuvhnGp5/2DSjgcABmM9y/+tWQHDcDQXgyq3y28V4oCg2yfoJr6/+3zcpgGGjrUlNTg6KiIgQFBSEyMhLBHubDWDQrx2hgx3DYOJKbFQDYtm0boqKihp4pExPT4yQ0ArDsbEiPPkqajfBwCrTLzweqq6HffHNAXQZrbia72L7PGxoK1NZSSrt/s8IY2Y12dNAkmzESIqekEJc4PR3aFVeQfTHnKNqyBTF79yJy+nQY/adPMTEwFhdDVFcDXnvcvqivJ3teWabCte8NQ5KgX3kl9IsuouMMCxv2lw7/4guw8nJ0p6TA6HT6ppesqAiYNYtyW0wmSrL2fhl68wQ8XHsBz5eiphFFoc8XlC/g0GgEKykhql1YGPHodR1iwgTwsjIYnnqKpuc2GzWOmgZWXw/5qaegz5nT+8vYaoW+fHlPPsphQMybB9c770DatIkm85s3k/NUQ4PnJHHoS5dCvfrqnt8RAnv37kVtbS0WpKXB9vLLgKJAj4iApusQ7e3AgQOoaGyEUlaG6OjoXnaV0tat1KhMmULFt7cx8Di6iXffhX7SSVDuvZfyg/xpTz0H4aMUqT//OTWRe/fSeVZVCIuF6F8DbJu0s86CMBohvfUWeG0tbUwSE+kzaLfTtcc5NS+trWBOJ1hTE3hBATVAFguE1QqWlwcMsVmpqalBcXExZsyYgXj/42poIHpZVxdNej2P73upEybA/cQTdN5yc2kTsX8/ff7mzoXyxz9C+vxzypfxWJcLIcAqKyH/859wL1jQ341KVekPY9TYaVqP5bOmEUVw1SqwhgYyNvBq7OLjwfbvR/i33yLowgsxZcoU2O12NDY2or6+HiUlJbBardS4JCYi/LHHYHj9daJFGQzQ58+nDCFFgTCbgdZWyJ9+Cq2tDdrFFxNN0e+9drvdcLW0QE5NHXaj4gWrrobh+edJm2AygSkKpHXroF599bAazZ8EUVFQHn6YnO4yMyEsFuhLllADOsD3it1uR2ZmJsLCwnrpI0eCgayRhRC9ti6GHTtgfust8NJSiMmTodx4I7RRojF7odxxB6Tdu8Hq64le6NF2qmecAW3x4n4/729drFx/PfTYWBg++AC8shJ6ejqUq64iuuYIoS1dCvznP7QV9OYedXcDTudPGoT5v9Ks+GOwrUtNTQ0AoKCgwLd5GS33ru7u7mPNyv86xnptdqQK7Ovq6gAA48aNw8SJE3+c9aEQ4B99RKLOGTN8VBk0NICvWgX99NMDWiqLyEgqYtrayObVC29uRN+tB2MQS5eCvf023ZS91Chdhzj+eKgPPgjExPhczwy6jpikJPT7SnW7ieYUaHuk6+CrVoGtX0/8csaogLv0Ul+oXi+YTCMXr+7YQRQyj+0yANLAtLXRF1BKCn0h+m3F9LlzwSMjgaoqiORkmmK7XGDt7VDPO68fv1xER9Pju1yUeu0tvlWVmkLOIUwmCtnUdbIebmujAllRyKrzvvugvPQShFcwPJoQAggLg+bJzdFuuAF861ZyD3O7oS9aRDbIfiv3vLw8dHd3Y+HChQh5+22yQQbAu7tpsxQRAQEg1ulEqadw8s/2iPV8Rryccb5nDzXOJhMV6WYzpK+/hoiKgvq730FMmACWnU3ZHm1ttJVSFIiZM2nDZTBA+ec/KRCyoAAiMpKCNANMW31gjDaAp5wC3H+/TxeClhawAwd6tize98vzvrKKCmDu3J4GagiDCCEEKioqUFVVhXnz5iHC73PFsrIgv/46NQye59JnzIB6++29aWVhYdDOOQc45xyof/4z0NwM5nbTMdbXw5CTAz0mpmdLwhhEYiJ4dTV4dnavUFGAmg5hMkFavbrHXtdsJme4OXOIOvfFF/TDfYsfiwW8utrzNAw2mw02mw3jx4+HoihoaWlBY2MjcnJyIIRA1K9+hRiDARFxcQi65hpqVDy5NQDIrnjTJtL9xMaC7d8PMW4cXKoKe00NgjkHu+wyaCO8l0qffELbzenTaXsEgNXVQfr4Y+jHH09buyMZERHQrriC8qsOga6uLuzZswdxcXGYMmXKqH7/DGSNLH/8MSx33kmbM8aAkhLIq1fD8dRT0AZxixsu9Nmz4XznHRj+8x9I27eTpuuii8gJbAAtA/ff0J19tm9DPBoQSUlw33knbWz27aO/NBignXgilJ+oCf5fbVb6wn/r4qXVWq1W1NbWori42Ld1ORyHMYA+T8c0K8dwWDjSQiF1XUdxcbGvWUlISPjxeI4dHWB799JU2P85o6PBiorA9u6FZLX216zEx0PPyCDNihC0Xm9rA29qgnbZZQE1M/ry5RQ8t2tXj1VrVBS0q64CYmLQ2trq4+PPmDEDvKYGbOVKErhaLPSFVlEBZ0IC9ABWtCwzE3zlStJMzJhBG4Z9+8Dffx/a738/qg4zwmwG0zRyb7LZSOjrcNA/yjJtbDjvnVsRFwf1uusgvf460e486dZ6erqv4O91vtLSoE+fDik3l94bTaNtFmP0fnmzUjwWq6yzk1ylOIewWMDcbvDaWsivvkp5F4dx42R1dZS27nDQhLmpiaxVIyIgFi4kWow3lDKA1arL5UJWVhZkWcbChQtJ4NzRAWE2U76HN9TRZgM7cADBioK0tLR+2R5NjY2Y0t0NvaMDlu5uSG1tPnE7rFaikHV3Q1qxAtpZZ0E7+WQYv/iipyDwXKvKKafQNgtUfGvXXz+gRmZAcA7lr3+FPnky5E8/JRpSYiI1il5jBbPZJ2hm3mu+u5sc07wTXU0jyl9tLUR0NPT582mT0Mdmt9cXX3c35PfeIxrjjBl0LVRUQPr6a7CGBigPPjiwDiYy0qfTYV7tUiAhtq73fE790dZGDYfD0SNa7uggiuPPfgbYbD1FvL84WQhKux+A528wGBAbG4vY2FgfdaOxsRH7mppQuHcvTsvLAzcYwIQA996rzGbAbgevqIB6zz2Qn3wS6t69UJ1OBEdEgJ9/PtQLLxzwLRwULhf4rl29naBAuiVeXAyWn3/kNytDRFtbG7KyspCSkoIJEyaM+fcP5xzc7Yb5oYdom2mz0SZUCLDubpgeeghtZ50F7jFjGA2tiz5jBlxPPz20n/0RCnf1nHOgpaVB2rwZzG6HPn06tEWLBneaG0P8/6xZGSl0XYcsy0hNTR1U6zKSrYtXs3I04FizMkY4kmhgLpcL2R5L3oyMDPzwww8/7rF5bBPR13BAVYneYjYPGFapX389icm3bCH+vs0G7ZJLoA80GbLZoP3mN+SAVVUFmM1klZuYiJqaGhQWFmLKlCkYN24cJSafey4ZCOTl0eQaZFXbvGABQgPcVNnu3VQQeZ2UZBli4kTK/ygogOibAq0oQFUVnYM+uoZBIQSQmAi+di1CJQksPp5Sqvfto39TFLCODhK5e5oVL/VBO+00qKmpkPbsISeZ8eMp/C8QDc1spin5e+8RvUqSetyvrFaiQ4WGQp85E9I33/iC34TRSP/NOfSpU6lhy82FvmQJYLdDWr8ebM8emsQvWgT9xBMDhkh6wdeuhfzaa9QI2e20hYuMhL50KbmAFRYC5eWkU+obDAigs7MT2dnZCA8P7229PXUqnXP/4l7TAKfTlwHRN9vDnpQEkZMDVlKCTiEQ5qHEMVkGIiPJerimhqxBf/Yz2iipKvTZs6n4NpkApxPS+vW0bTgM+iQAwGSiRufnPwcUBXzLFhh/8Qsq5C0WonwFB4M1NUHYbOTqxjm0Zcugn3QS0NgIw9//Dp6ZSdsOWYY+fTqcf/kLsltaoCgKFixY0E+3xktKqFmcNIlez/ff04ZFVWkjUlQE5f/+r7cpQgCI+HjokyaBZ2fTUMDrQldfT5uStLR+vyNt3Qp0d0NfsICaVrudCnqXizZLIKqc/O67dI16in3W3EzhiIeaHHtsZUOFQOjEiZg0aRKcnZ1gFgtEVxdcTicYY5AkCRJjkIQg3dmiRSi//350ff89JicmQsybB/UQFsmDwrsVC0Qj9P77YL+elwfpyy9JdzN+PLTzziOHwCMMzc3NyMnJwaRJk/o5To4leFYWXRNmc09zxBiE2Qze2gpjVhaUpUt9g7IfU6Tv06yMMURyMtSrrhrz5xkKjpbNij/6Nmh9tS6dnZ1obm4e0dblGA3sKMBYT3XGrFkZ4peYF+3t7cjKykJYWBjmz58PeSAx+yHA9u4F27qVeOupqdBPOGHoU3SLBfqyZZBWrIDwajc8trAiKQli7lxIRUWBrYJtNui33gr9wgvJHSUq6tDbC4MBYv58iPnzAdCXQklxMWpqajBv3jxE9aGv6L/5DURREVBfT1kws2bBXVoa+HhaWyH6FsucQ3Dez2KSrV9PG47qatKwpKVBu+MOoI+FZT8IAenZZ8FXrAA6O2F2uUgjY7VCnz6dxPUnngiRmOhrgPom0rNJkygxfiiIj4f6hz+AXX01+KZNkFasAKutBa+rgx4XB/WXv4SYOhU8O5u4/bJM75+qQkRHQ0ybBlZWRvQ8ux2Ghx8G37bNR0WS1q2DtmMH1LvvDmjMwGprIf/nPzQR96bFGwxEN2tpAdM08B07KKTwjTegXXwx1J//3Ed/a2pqQl5eXsCJrXbSSZBWriTthofWxlpaoKemDki5sKakgD30EOSXXwZycqip5RydUVEwVFfD2tBAmguTiRrpnTvJ7tlfEK3r4MXFRHHyOM+NGHY7eGEh0NUFkZDg2yxJGzZAdHfT++F2Q8TGQrvsMmoOZs2irYrJBMNjj5HeKDmZNEcOB1h2Ntr/9Cewe+4Z2IlJUUi75HD0bGWCgnyiXVZfD8MDD8D1ySeD3ws4h/bLX4L/5S/ge/fSRs7lIt3O9dcH/jw3N9P/hodDhIf3bGnq6sjhDwCio+H+5z8pQd1r552SAuWOO3o2SgHAKirIaSw/HxCCXL+uuALmyZPBLrsM8muvQeYcmsEATVGAtjY4bTbkJSbCuXs37HY75t96K8xBQSOylO17bkRwMKStW8nWPCEBYvx40uKEhwds5Hy/um4dDA88QJ8ToxHYtQvSmjVQ7r+/x63ucCAE2L59ZOOclDTipru+vh75+fn9tVA/BgYo9BgAMAaDxQJmNPYKyh3NQMrB4K9ZOVpwrFnpDcYYQkJCEBISggkTJgTcuoSHh/ual75bl+7ubkT7U+T/h3HUNitjjVHXrFRWQnr7bfANG8hdZPlyaNddN+gXSG1tLQoKCjBx4sReRdxwmxW+ciX4Cy/QhBuggu/rr6E9+GBvLckg0C+7jIL0srOJagUPNea228hGdoDNig8jFPgrioKcnBw4HA4sXrw48BTCYCAbUz8MGMQ4aRJQVtZ7S+J0gnEO3S+3gu3ZA+mRR8A8Lk1QVfDNm8Hq66G+8AKJ2AcAKygAf+MNwGiESEuDo74eBpcLhu5uiPR06Hff3evnhRA+N5yAifRDgUd7o11+ObQLLqBCTtfJjtdzztz/+Q+Mv/oVeEEBmNEIfcYMohN5KT5RUZC+/54K43HjejY5XV2Q1q+HvnRpQOcnvns3JbpPn07Fsd1OOpOuLkjbttEGwfsF19IC+ZVXgPZ2qH/6E6qrq7F3715Mnz49cCEUGgr3ww9Dfv998I0bwYSAesEFZLSQkDDg6RAzZkB5+mmw8nLITzwBaedOhJjNtK3zOKw5bDYIgwEWzsFbW4mW5y28vXSTQBSn4bwtZWWQ33iD7H51nTaFCxbA/eSTkN97j/QOHR3QTzwR6m239Xdg8jjq+QImAaiyjA6rFWFVVZhnsdDGqC/a2sDXrgUvKACys8m0wmymxqi7m96fhARqan/4oach6+yE/NprkL74AnA66bhuuQV6ejrczz0H6YsvyCY7IQHa2WcPuJURiYl0Dv0tcYUAOjt7zCQ875P77bdJq+Ny0RZoMKfChgYYHn8cbP9+chlkDNLWreBVVVAeegjKXXeBFRZC2rkTcnc3ZAAiIgJd//d/6DSb4ejogK7ryMvL87mLhYaGjuwzp+sw3H8/bay6uuj+WlUFkZcHfe5c2qQNVNy73ZCff55ocampPddbVRUM//43XCecMGIXKd95euYZSmN3OoHgYGhnnUXOf8Nwgjxw4ABKS0uRlpb2kxRV+nHHkelCTQ1d/14tl9MJERcHfcGCAbUuY22NfLQV7t7vqaPpNQPDo74dauvS3d2NtWvX4qyzzsLJJ5+Mrq4upA5k/z6GWLlyJR566CHk5ubCbDbjxBNPxOeffz6mz3msWRkjjOpmpa4Ohl//GigroywDIcDfeANszx6oL73UL71Y13WUlpbiwIEDmDt3br8viWEdW309+Cuv0OR22jS62btc9CX2wQfQfv3roT1ORAS0hx4C272bCr6QEBIYe45toJyVw0F3dzcyMzNhtVqxePHiQ4a0+WOgZkVfvBiSJ5hRxMTQ9Lmpib4U/RKB+RdfgLW390rRFjYbWHl5j+3yAGBbthDtJTmZhJfBwWDh4ZDb2sB37+6le/CfCI64UekLs5m2BH0gpk6F++mnYXj2WaLwxcVRo1ZTQ9qX2bNh+PJLaiz8C6WgIGrWsrICNis+HQ5jxNv3amc4J/e4kBCicNntQGwshNMJ6Ysv0NDUBHN5OU6OioJ84okktA80pY+NpbT222+nQmWoxZYkQUyZAuWZZyBeegnSZ5+R/sJoBKKiYAoLg6KqUK1WGFpb0bZ/PyBJsFgsMHV1QQQF9dZONDSAl5bSpnHWrEFpcQDIvODNN8kaedIk0qE0NICvWQMpLg7qnXdCvfPOQR+CdXRQA+ihwLndbrS1tcEaGgpLUxOUzk70u8o1DYbHHwffvJlyROrriXaoKOQQFxREG07vhq27m37P5YLxpptIXMw5wDk1VOvWwbViBcTUqVD/9KchnXr9+ONpY5efT82+wUDHERwMre9nh7F+6eADQdq8mRoVj5gdAPSwMHBvSOgVV8C9YgX4+vXgubkQ4eFwnX46cmtrIQuBEzw0T2+WT3Z2NgAgKioKUVFRiIyMHPJ9hm/ZAumrr2hzlJBAhh3d3ZTHNGcOtPPOG/B3mZei568DZIwMAGprwYqLIUaaE6Xr9P5v20YNfUwM0NoK6b//hQgKoiHZELB//37s27cP8+bNC5jh9aPAYID7qadguukmun94bXwtFrifeirgvWDUAykHwGHTwDz6LJjNA26QjiR4v0+PNs3KSHU6fbcuiqJg9+7dOHjwIG6++WaoqgqLxQLGGGpra5EwyPBtNPHJJ5/g5ptvxiOPPIJTTjkFqqoiPz9/zJ/3qG1WfiwamBDisJ+Lf/45UF5O3HhZJuqB2w2Wlwe+enUv/Ybb7UZOTg5cLhcyMjICbhIG3BoEem6PE5I3VwIABX6Fh4Nt2AD88pc+EfEhYTRCLFkCESBF+JDH1NFB02WjkQqTQwgEm5qakJ2djeTk5BG5zgx4PMnJ0G68Efz77ykk02iEOP98X1igF6ysjCgz/s9rMNAXjMfKcCAwTetPL/EGePmZNvh/iY5ao3IIiDlzKLX866/B6upIpH3yyVAvuYTcmgb70hzg+HzT8M5OKqqjooDqahLze/jlXnc3YTRSDsX+/YgvKCCThQkTIGpqwPPyoNxzT7/m3YdhNKu9EBwM9Y9/hHrZZTCfcw41UhER4ABMRiOFj9rtCLbbYT9wAI7ubjh0Hd2nnQYREoJItxum//4X8scfk0mCLENMmADlzjsh5swZ+HQVFZHzVEIC+Pr1lNvinfK2tZGt6UCv1Xtuk5Ko4WhpgYMxdHR0IDgkBNbOThoY9AmkBACWmwu+ezdtx2w2mu7v2EEUUMbIhc5ioddis9H2DYC0ejUkr4Od57MgdB2srg7yf/4D5e9/73Nwg4TSBQVB+dvfIL/0EuWbOBwQU6ZAvfZa2uaNEGz/ftJb+RcPHsc7VlFB/1+SyInttNPgdDqRlZUFs9mMtLQ0X9HhP/1sb28nkf6+fcjPz0dYWJiveRkssI3/8ANtjjyNpIiMpGa7rg5SYSHUwT7PHlvsQFoXn532SM9Rfj7lVSUl9ei8PIMZ6euvoV1ySUDdWM8hCJSVlaGmpgbz589HSEjIiI9lNKAvXw7nd99BfucdMnpJTYV63XW9hksDIZA1sveee7hblxHTwISA9O23MLz3HuUWhYdDvfBCKFddNaL8sx8L3u/To22zouv6qDRoBoMBGRkZyMjIgKZp+OGHH/DLX/4Se/bswbhx4zBr1iycddZZOOuss5CRkTGs4exQoaoqfvvb3+LJJ5/ETX6ZWzNmzBj15+qLo7ZZGWt4L05N0wZM5h0q+K5ddBPyfxyjkdb+fjkKnZ2dyMzMREhICObNmzfg8w7LqUxRAhcVnFPR5s3vOEwMuO0RgixfP/uMQhoNBoiJE6HfcAM1UP1+XKCyogKN33yDRd3dCM3Lg6ishFi8mCb0Q8SgzVNqKvTUVJrUSVLACblISqKEef+/9LoiHSJJXF+0CNxkAjo6yCoYgNA0wG6HfvHFPUJ6z/kK2Ki0tIDv2EF5JFFR5AAzxARzuN2UQN/ZCTF5MhWt/se3eDH0+fOJV28yUYHl3R4tXAhs3NjLOhodHURdHCAkTp8zB9rxx0Navx7CaoWQJLKPNRqpmOvoILvh+HgyMjh4kK59k4mm+kVF0JYsAc/PJ0rSWGUIpKRAu+QSyG+9RVktNhttlrq6oB1/PNi55yI4Lw96SAg6581D+7RpaKyoQMMbb2D6J59ADQqClJICWdfBSktheOQRuF98ccDgUeZwkKB+82bwqipyM7JYgO5u8JISyC++CPWeewY/ZpsN6qWXQjzzDJTWVoTHxsLY1AS4XNCuuabHKMIPvLqazrs3JDU6GkhPB9u5kwT6nZ2Uz6Mo0C65xPc55Dt3QngNBnwPxiEMBvCNG+n/6zr4pk1EMauvhz5+PPQzzqAGpM81LJKSqME5eJA0Lv4BkSOEiIig19Dnnsbc7n6fj66uLmRlZSEiIgLTp08PWGQxxhAWFoawsDBMnjwZDocDTU1NaGpqQnl5OUwmk69xCQ8PH3rRcohhkpg6lTKQiorIxplz2nIdPAh94kRybxshWFMTTez76JBEcDANENrb++v2vD8jBIqKitDc3IwFCxYcMeJfMXVq/2Z5mBiILuZtYIa7dRlpESt//TWMf/87bUxDQsBqa2H45z/BamvhvvfeYT/ej4WjtVnRNG3UX7MkSVi2bBliY2Pxu9/9DmeeeSa+++47rFq1CpdeeimcTieWL1+O2267DaeeeuqoPW9mZiZqamrAOce8efNw8OBBzJ07F08++SRmBYpuGEUca1bGCN5GYTSaFREaSvSTQPBMvg4ePIi8vDxMmDDhkPkpw6Fc6bNmQQoJoUbBqxnRddIYnH12r4yPIUFRaIKp68S19hQ2A2lW2M6dpN8wGOjnFYU0Hf/6F7SHH+41WdZ1HYX5+TB8+CHS9+6FgXNqJtavB159FWLaNIiUFOhnnkmak0FwSA0NMOh0UT/7bPDt28nBzKNZYdXVEImJ5Iw1CMRxx0G/8EJIH30EtLfD1N0NyeUiM4DYWGjNzTS9BnyWm73OWXk55KefBvda6QLgX35JmSCHmCaywkISLFdUQCgKEBIC7eyzof76172bUoOBisc+0E45BXzbNnJv8059JQna8uXkFBYIsgz1zjtJxL9+PRX/N98MfcYMyB9+SA1IVBQ0ux1yQwM9rizTpgUA6+oCLywkcX5x8eE3Ky0tkH74gQYBJhP0444jbYXJBOVPfwIcDhLtNzVBGI3QTjgB7scfB+LjfRQ9K4DJnj/s7bcBWUZnaCjcra2QJQmmmBjY9u8H37IFegBLacBj5ZyXR4JySeqx8OUcwmaD9O23UK+9lgrVmJiAmSq6rqMwLQ3Sz36G6bm5MLS2khD/vPMGdMwSYWH0mH56EREXB33CBKKVGY0Q8fFQL7yQciq815/FQo113+GGpvk+K9Lnn0N67z16D4OCwHfuBM/Ph/qrXwW0owYAxMUdvpDdez6OPx7i229pw5KcDHR1kWNUZyf45s2Q4uOhnXUW2rq6kJ2djaSkpGHlUVksFiQnJyM5ORmapqGlpQVNTU0oKiqCoiiIiIjwNS/WjAzg3Xd7NooAnXO3G9qhAlVlGeof/gDDvfeSQ6A3CDYqCuof/nBYE3YRF0eNuGf75gVrb4eIjIQYgNKl6zry8/PR1dUV0F3ufw1DDaQcaOui6/rwp9+KAsMbb5BjY0oK/V14OFhLC+SVK6FceeXY5F2NAjRN+1Fc1o40jKVds91u97mHXXHFFbjiiiug6zqysrKwatUq2O32UX2+Cs/2+YEHHsDTTz+N8ePH4x//+AdOOukklJaW9sroGm0ctc3KWFNmvEXkaOhWxBlnABs29E5sb2wErFZoJ56I0tJSVFVVYc6cOYgZggh9WJqV1FRoF1wA6YMPyO3JaATsdohx46APM1CL5eSQ1sZjvysSE6Ffcw3E8cdDkiQoAcTIfP16ujF7OelGI8TUqcTZ3r0bwjM18GZsmPftw+zKSvC4OKJVNDWB79xJ08Lt26nAffttqI8+CjFIgvHh5uSIE0+Edscd4O+8Q/Q1SYKYPJmyWAJMs3u/aA7tb38jl7QnnwTr7IQaHg45KYneh6IiKH/9K1igokHXIb3xBvi+fdCnTvUlfvPSUshvvAHl0UcHDgrs7obhoYfAKiooY8ZkApqbIX34IURcHGXVHAoWC5T77qPpeWYmWRsvWEChf4N9MVss0C6+GNrFF/f6a/eCBTA8+CD0bdug19SA6Tq5cPlnUhiNYB0dlAczSAOJlhYwp5N4/gMNEFpaIL/4IjmSBQcDqgo5Oxva3r3QLrkErLUVyn33Qb39drKLjY3t0XINAENjI1hYGCLCwyGEgMvlgsvlgsPhQOW2bXCmpvbTO/CtWyG99RYVr7oOMEaaBrudMn4iIsDKy2E+7TQ6B0lJUG+7DdqFF/qORVVV5OXlwel0Yt4f/gBdluHq6KDCeJD3Ql+wgIIuy8qoIDKZ6N5jNEL561+hXXppTxilH7QzzoD05pu0CfNaFDudPlMDtLaCf/01WS17G934eLCyMkiffUb22sMtshWF0tPXr6eQ0MWLSevhLf77QEyZAvWWWyC/8w54bi65HKoq2YIXF8Pw8MNwffEF1IYGnHLgAOSkJAo8vPzyIQVs+kOSJESbTIhtaoJQFHSNH48GxlBXV0cWpRYLZi9divANG8igwdNw6HPmQB3CvVVfsADu116D9M03NAhJSoJ25pmHXayK6dOhp6eDb9xIAwurlcT/LhfphQI0IZqmIScnB263G+np6TAewXSksYC3AJdzcykPqbYW2tSpcF10EbSkpIBbl5FoVtjBg2B1df0aRhEWBl5ZCV5cDO0IbVaORnE9MHbNihAC3d3d/UIhOeeYP38+5g+DLnvPPffg8ccfH/RnivwcW//yl7/gYs939RtvvIGkpCR89NFHuPXWW4f5KoaOo7ZZGWt4PfpHo1nRly8Hy84G//RTwMurDg6G+4YbkCnL6D54EIsXLx5ykumwjosx6DffDDFpEhUELS0QaWm0VfFOdoaCmhpITz8NNDQAHuE4r64Ge+45aFFR4AMdk9cu1R+eQpO1tkIA6OjoQGZmJsLCwjDXYoHkclGjIgRlh3R0AEFBRKFJSQGrqoL8f/8H5bPPBhQ5D0fXExCMQb/sMuinnw5WXExN1qxZQy/GZJkK4eBgdC5aBN1mQ2hICITLBSknB2LtWioa+z5tdTV4aSlZjXpvkJIEPTkZrKKCCuwBAvP4li1g5eVEK/Gel6goyk356itol10GvnYtpG+/Bbq7IRYupDC8vtMUsxn66acfvmUvAISHo/zOO1E/ezbSiopg/ugjKtQbGogqZjD4xPjCag2cCt/QAPn11yH98AM1vsnJUK+8MqDYX9q2DbyoCPqMGb7rTLS2Qn7rLchvvkk/FBQE7fzzyRlpCAFeYvJksE2bgNhYMMZgNpthZgwsJASJixfjgMmEiooK5OfnIzw8HFGRkRi/YgWFuC1YAGndOl++DXQdIjISrKqKnObMZsBkAi8rg+HPf6ZG92c/6xWQmZ6e3jPB9X+vBrJBt1ig3HMPDP/4B+my3G4gNJSayQsvHFDMq6enQ731VsivvALW2EjbEM6hnXgi1OuvpwFDS0s/MbxPFF5fT9uOoUJVyU1r5UpfQyd9/z2kVavgfv75AfU8+sknwz1/Pgx/+hOkujpoU6f6CnCltBRBK1YgyGym8NDGRkjZ2VBLSigEcxjgmzZBfvll0nYJgfCICIRceikmXH453IqC5uZmVNxyC6SUFERnZcHKObBkCUxXXw15iOGyYtw4qL/85bCO65BgDMof/wg5KIg+M/X1QFgY1CuuIL1KHyiKgqysLHDOB7bB/qkhBFh+Ptkwz5w5IPXycCB9+CFZSdvtdC2uXQvjRx/B+cor0NLSfEYo3j+Kovi2MUPdOAibjcwmXK7e34uKAiHLh9Sw/ZQ4mpuVsWreAzUrI8Ef/vAHXH/99YP+TGpqqi9U3F+jYjKZkJqaiqqqqsM+jsFwBN5VfjwwTz7FWGHUUuwlCdrdd0M/5xxKZpckdKWlYXdnJ2yMDVtMNewmSpIgTjsNmmeKOxLwrVspp2HGDF+xIyZNAgoLKY/kjDMCNwcTJoBt2NA7xdnt9iWse+lv3nRY7gmMgxBAezvpKqxWME8xA84h4uNJwJ2ZCZGRQSGEW7eC795NLldz50JOSoI+Gtu3sDDSy4wArLCQCnKbDaqq0s3eZKIQzV27AjYrUFUq3PpOcmSZCt5AVrq6Dr5+PeSXXwavqYFwOKhRio31NQGspQWGBx6A9Omn9ByMAevXQ/ryS7heeeXQ26IRQAiBkpIS4sVefDFMkgR9xw6aLIaE0DalqwtQFMpNueQS6H0D8dxuGP7v/yglPDqaxPB798LwxBNQTKZ+1DSWl0dFgF/BxQsLwcvKoEdHQyQng3nseeFyQf397w/5OrQLLySqUUUFbXXcbirmZ8+GZflyTLZafXqHxsZGtFRVITw7G9xggMQYQuLiINXXA0YjaSuamkjsHh7uK7qEzQZ28CDkl19Gx6mnIjM7G2FhYZg5c2b/AqGri7YRW7YALhfR3M44o9dnTEyZAve//kVhqV1dEBMm9NMu9QNjUO+6C/qpp4J/+y2YywVt0SLop55Kmxyzmf7X5eq92XK5qJkfJm2Ib9oEadUqOg/eTYrLBZ6ZCemTT6DdeOPAvxwcDF5ZSZQnz/Pau7thOngQTAgqCsPCqOHq7IT07rtQr72W7llDAKushPzss2QtPHEi2b0fPAj5zTchkpNhPP54xMfHIz4+HvrcuWhvb0dtUxMaGxthz8qiptVPpP+jIzwc6r33Qj14kIZCCQkBC2GXy4XMzExYLBbMnj37iHR6YqWlMN5+O9mxeyiJyq23Uu7TaBXPLS0wPPYYuWbGxdH9UdeBgwdhfOQRuFes6KV1OXDgAFpbW5Hkt3UZkkg/IgLqSSfB8NlnpBuyWEjXVlsLfdIkaIdhPjHWOFqbldES2AfCaDUr0dHRQ7IWnz9/PkwmE0pKSrB06VIANKzYv38/UoYzvB4BjupmZawxqvbFjEHMng0xezYaGhqQm5uLcePGYfLkycOmtI1ZYOVgaGigAtr/ZsUY8dwPHBjYKvjUUyFlZoKVllKToShgNTUQ06djb2go9uXlIS0tDbGeYlmfPh08KIhocpJETYsQ9CXl5V97zQHcbipu3niD9CU2GwTn4KWliEhIQNsAoYEjRkcHNSCNjRAhIUQfGqzI91AFTCYTHE4n6g4ehMlkQojdDj6Qs1ZyMkRiInHyJ03qSQuvrYWIiwtIEeFr1kB+6y2iGMkyNW/799O0btw44qonJED64gsq4rxFi6KAFRZCfvttqH/84+GenV7wUpgcDgcWLlwIq4fepTz5JAx//CM1LB7TCXHccXA/+SRtrvqcF75rF1nQTpjgs1MWISFge/cS9aivjsZk8jV8rKICvLSUAgeFIIqZzUbnoLER0sqVUK+55pBhefqiRVDuvpvS1quryUHtjDOg3nprL9qaxWLBuHHjMC4+HoaUFCj19egWAvXJyQhRFFhaWyEpCjXeZnO/DA5hs0Hs24esjRsRN3UqJk2a1P/e4HZD/ve/yYkqOBiQZchffAE9Lw/qn/7UO3vGaBy+8xZj1PwEMFMQkydDpKRQUObUqSTgdjrBDx6EduqpQ85s8oLv3NnLTQsAvX+yTEGkgzUr8NAHu7oAAF2dnVA6OxHsctH9wf8+FRQE1tQEvn07tCE2K3zrVtI0TZ/eYz6RkABWUgL+/ffQ/SionHOEh4cjPDy8V9Pa1NSEsrIymEwmX6ZLeHj4j1vwxcVR8R0Adrvdt9GeMWPGkVmIOhwwXXklWFUVNcNGI+B0wvDMM1T4jxJtRdq+nZq66OieexDnQEgIeH4+fWd5hgE1NTUoKyvDvHnzEBYWdshAyr7nVfntb8FqayFlZQGaBgZAT0mB68EHh7Tp/akwltqNIxljIbD3Pq7D4fhRhxkhISH45S9/ib/97W9ITk5GSkoKnnzySQDApYGGp6OIY83KGGK0gyGFECgvL8e+ffswe/ZsxA3wJXIocM4D6kPGFHFx1CB4fe4BKgA9+peBGiiRlgbtttvAP/3UJzRWlyxBwXHHoamtDYsXL0awf7GSmgr93HPBv/wS6OqiiWZnJ020vTzfpiYgMhJi9uwem9aJE32Fo1AUmPbsgS03FziEGP6Q6OoC27OHHI2Ki4n7LUlkmBAdDf2iiwKK3oUQUOfOheGjj2Dq6kJsTAw0TYOrpQWq04mSkBB0btvmm4iEhIRQYWo0Qrv8csjPPw9eXExbEbsdIjgY2mWX9Q+KczggrV5Nk+358yHa2ug8c05Bai4XaQzi44G8vN6FuWdaLn377aGbFSHo/fBO2AeB0+lEdnY2DAYDFixY0GtrqC9eDNc330Bavx5obYXwBlMOlFR94ABdd31etwgNJYqTpvXaQunHHQc5Kwts2zbwsjKf4BmMUc5HeDiEJJEWqqkJxl//GuoNNxDlbTDnn1NOgXvZMmqyzObBGxxPM2P6z39gBDWg7ogIKIWFaAsKQm16OqZ/8AF0hwOS2QzJ87ya0wmH0YjxM2YgaYCgMJ6dTVum1NSe6z0uDqyoCHz9emhXXz3wcQE92Q593QkPBV2H9PHHFChaXg6puBgiIoK0b3PmQD3U8w6EkW4/GYO+fDmk115DZ1MTFMYQFh7uo5P1ul68Q5RhbH5Ye3vg4zObST83CHxN67hx0DQNzc3NaGpqQkFBAVRVRWRkpG/r0jfR+sdCV1cX9uzZg7i4uBFZw/9YkFauJD2P1dpzvcoyhZe+/DLUm28ene2K1+mxL7z20p5/82bPHHfccQjzCwYeViBlZCRcL71EDdL+/RCRkdCWLevn3nak4WjdrIxVk9btybcKHkCfN1Z48sknIcsyrr32WjgcDixatAjr1q0b8yylo7pZ+TFoYKPVrHgnzR0dHf0L9BEc17DpaYoCtmcPTdxDQkgMO0ReNUAuPHzlSqCkpCf9vaYGiIqCOPnkQTUiYskSaAsWALW1cAqBPQcOQDYYkDFvXn8uKGPUAEydSpSeCRPAv/mGvkwaG0lgbTJB+8UvgIgIsHXraJLuL8w2GCCsVlj83LRGArZ1K6R//pOK/qYmopgtWUKuR4yBlZeDrVrVyxUN8At6nDUL7PzzKWixoQEcgEGWoZ1zDqb+5jdo6upCU1MTMjMzwTn3NS4RixZBhIRAWrcOrKoKelIStJNPDpjpwRobKUcnJobE8EuXgmdn+zQRekwM1NtvBy8uBr79dugvvq2NMnpcLppgl5aSO5ksQ58/n9yOAtBKOjo6kJ2djcjISJ9dLCsogLxiBVhWFhAeDu2ss6BddNGQ9D8iLIwKBUXpJSpn3d20eerz5akvXgxtxw4YXnmF/kKSiAZpNlPGSWUleFubL8iS79gBY3Y21F/84tANm8FwaCqVB9pFF9H0dNMmsPp6mDmHmDcP7M47kRQVBX3jRvDaWjg8YnnZ5QK326FdddWAjQpAOSNMVXtbz0oS0aLy8jDY3Ypv2gT5rbfASktJt3PBBVCvu25wUwPvU3z0EeTnnqNGbOZM0hx1dEDExUH561+H7yoI2ljh/fd73LQ6O8Gam8Ha2iC8DoaDbGucl10Gx7p1sJWUIMRoJD1NSIhPcwCAtA5tbRChodACBZoOADFuHF1b/tedEKT1mjZtyI8jSRJiYmIQExMDIQS6urrQ2NiImpoaFBUVITg4GFFRUYiOjkZwcPCP0jS0tbUhKysLKSkpmDBhwhHbqADocUrr01gLb8io3T4qRb62eDHda1pbeyywhQA6OmjTmJiIivJyVFdXD5o9M5xASn3JEnAPFef/BxxrVkYX3mblx6aJGgwGPPXUU3jqqad+1Oc9qpuVscZoaVa6u7uRlZUFk8mEjIyMwxZrDTstvr0d0iOPUN6L5/XwhARof/gDRCBBcyDEx0O76y5yAysvJzewiROhX3stxOTJkOrrB2/sDAa0hoQgKysLsbGxA+YeACDK3KxZRAu68krol10G/uGHJDxPToZ20UU+F7GBCl6uaVAO5zzX1kJ64glqBBITwZxOwOEA27ULLCoKYuZMoljt30+TPw+9xNeoaBoMK1dCXreOKAQmE8S8eSQMz8iAwWRCfHAwcd51HW1tbWhsbERJSQlcLhciIyMRffHFh5y+CpuNCkW7nexKLRay6Z00CayxEcqjj0JMmUKN6Wuv+bJfAFAh5nRC6yOk5z/8APn550lY7HRSERgdDW3pUjBVpWlnXR1RMPzOcWNjo89+e/z48eSol5sL4913k/YoJARoaoJcWAhWWgr1/vsPOVnXFy+GGD+e9CIpKaT7aGwENA3aOef0/32TieiWMTG0fZMkcKsVOHgQgjHKrdE0usbCw4na0doK+e23oV144dA0DXY7+Nat5JYmBPS5c8ktzb9oslig3nUXtAsuoAFBcDDpcSwWWADgxRch/e53CKqpgdrZCVWW0bhwIQoyMhCWm+ujDfXTspnNNKDpay/sdvc3svAD37ABxnvvJf1KaChYczPkf/8brKICyuOP9zyW0wnpgw8oNNRuh3bCCdAuv5xsuA0Gn4BehIXRFq+igq7/AUwfBoO+bBm0c86h56qqos2drkOEhIAXFMB4331Q7r+/t97NA5fLhayKCpj/8AfMbWqCVlpKAZcTJ8Lw979TY+0ZZAmbDcrDDw9rOKMtXQrpq6/ACgt9gwDW0AARHw/tzDOH/VoBGq4FBwcjODgYqampcLvdvkyXqqoqcM59jUtERERgobui0BChsREiIYGuqWEUUs3NzcjJycHkyZORPBwzhJ8IYvz4Hhqw3+tkikKUxyE02kNCdDSUO++E4dFHgbo63/ZcRERAuftu7C0rQ11dHdLT04esMRjLQMqfAsealdFFd3c3TCbTUeO8d6xZGUOMxmalsbEROTk5SEpKwpQpU0blwz7c4+Lvvw++ZQvd+G024smWl0P65z+hvvTSgDahfSFmzoT2+OPA/v0kYk1J8U0dD+W+deDAARQVFWHq1KkYN8TptO95Fy6EtnBhwKmxmDGDLGrr6no0AK2tYIyha4j89EDgmzeDHTxIhb63YQ0OBtraqICZObMfRcCfu2x87z0Y/vEPQNNIPG23g/3wA/j8+dBPOqn3c3GOiIgIREREYMqUKeju7u41fQ0JCfFtXfolakdGQluwgITKZjMdo90OVl8PfdEiXxGpz58P7ZJLIH34IVlYe3MdZs6k6boX9fUkLG5pgZg0iQrtpiYwzx8xYwbZbObn03nwCOKrqqpQVlaGtJgYRDscEM3NQFQU5PfeA2togD55ck9B3NYG6bvvoP3sZxBpaYO/EaGh5Gz19NOU76OqQFgYtKuuomYlEDxOUHpyMiDL0GJiwDMzybzB5aKiOzS0h8sfFgbU1oL/8MOhNQ1OJ+QXXiCNlNFIrni7dkHPzob6m9/0Lp4Yg5gyha6hPtDT02FftQoH3nkHWmMjks46CxHp6ZjT2YnGxkbs378fBQUFCA0N9b33VqsV+ty5kCIiqEHwFpttbYCmUZMaCEJAfuMNalTGj6fjAoCODkgbNkDNzaWtnarCeMcd4N9/T59vziEXFED+7DMIWYboG0oaGgrU15OeYATNCmQZykMPQZ8+ncTNZjP01FTfVoMXF0P66COod97Z69f6ai3AOfxHSq5FiyB98QXZV0dFQbvggoDvwaAIDYVy//2Q3n2XtDWKAj0jA+pVV9EmdRRgNBqRkJCAhIQE38CiqakJe/fuhcPhQHh4uK9ptVqtYAcOQH7oIfDCQtquGY3Q586Fcv/9Q9IL1dfXIz8/HzNmzEB8H73UkQrt7LMhkpLoejebqWFxOgEA6i23jJ7AHoB2/fUQEydC+vhj0gjOnAnliitQJASa6uuxYMECn/ZuuBjtQMqfAkezZmWsmhWr1XpEbzZHE0d1szLWb/LhaFaEENi3bx/Ky8sxc+ZMJPgLXw8Tw2pWXC7wdevIcce7bpQkymGoqADbsweiT/F8iCcHJk7sF/I20DHpuo6SkhLU1tbiuOOOQ+QwpptDgZg0CeL888G+/hosP5+Oy2KB84QT0HYYzYqvoOecitKgIKIIGAxkpQzQxiQmBnpCAoTfFw7v7ob8+usksPe87yIiAqy+HtLbb0O99NIe/U0fMMYQFBSEoKAgTJgwAS6XC00el6GKigqfWDc6OhphYWEUfnnFFWAdHUT/qq6mImbePKg33NBLLKrcfz+0RYsgffcd0N0NfdEiyl3wswGVduwgC9qpU316IQQH03W0dy+0GTNID6BpYA0N0HQdpaWlaNq3D8tyc2HLzu7R2CxdCp6ZSdee/2fVYACrqaH8leXLoZ13XsCASt97PHMm3C++SM5W3d0k9B6k2NLnziUdR2UlCfPNZujz5lEBXFMDERRETmm+JxC+c3Qo8J07Kel9woSexsTpBN+zB3z7duinnHLIxwAAt9uN7KIisAULMGfOHN90LTQ0FKGhoZg0aRKcTqdPqN28ciWSd+xAeF0dmCxD1jS6DhmjvKYzz4R+wgmBn6yjgyytw8J6vw/BwUBzM3hJCbQ5c8C//x583TogOJhswgF6n2tr6fq3Wmkw4IXdTpuew7GRlWWImBjaEniuOS9EVBRtg51OH82svb0dWVlZSEhIGNicJCwM2s9/PiglbigQiYnkONXeTpP9vtfxKKLvwMJut/s+96WlpbBaLJj7yisIyc+ncE+rFejuBt++HYZ//QvKQw8N+vgHDhxAaWkp0tLShuQadMTAZoPrv/+F8Ze/JCqrR4On3nTTqInr/aEvW+YLN9V1HYWFhWhra0N6ejosffWCh4HBAim92xfvz3kz337q5uVo3ayMlRtYV1fXT+MU+BPhqG5Wxhoj3ayoqor8/Hy0tbVh4cKFCB1l7/ThNitwufq7jMgy8bmdzlFJlw60WVEUBdnZ2XC5XMjIyIDV6SSdS0zM4AGDw4R+5pnA9OlgpaW0uk9NhTsiAlpBwYgfU4wfT4WT59yJmBjajtTVQY+OBissJO3PaadBN5uh+9tXlpeTs0yfxkyEh4M1NICXlEAfoh2yyWRCYmIiEhMTfYnaXrqVrutEF4uORtRvfgPj/v1EDwkLoyyPhgZ6b72FOefQzzyTztdA6OrqadIACJMJzOEglzGPzsMrRtXMZuTk5MBht+P43FyY162D7gnzZG1tkD//nBo8/xtyczOkvDzKftmxAzw3F/I778D93HODO1cNx9kqPJyCA194gQocgLJqTjoJemcn5NWrIby0EiHAWlqAoKCBi30/MO/j+U9YzWZqhAoKBmxWWF4e0Yr27YM7IQFFEyfCNGcOZs2aNeAXodlsJseWffsgf/EFtNZWuCwWOJuawBQFjrlzIc44A7a5cyHPnDlws2Wx0J/Ozt5/76XDhYSQYPn990kLZDLR51OWabBhMpG7Wns75eKEh1OhfOAAtPT0Q2/HDoVDNQCef/dSmCZOnDjmNpu9MJT7d3e3r3EcDVitVp9IX1VVdO7aBVNJCdpsNqhdXTC53TCaTDBHRYFv307GDwM08F5R+Lx588ZcRDsWENOmwbV+PVh2NlhrK/TZs4ftPDdc6LqOvLw8dHd3Y8GCBWNqhDDQ1sWfOgb89HSxo7VZGSs3MK9t8bHNyjEcNkbSrNjtdl+YW0ZGxpjc5IZ1XMHBEFOmgO/YQRNQ7wfDU6ANNXfAByEo46S1labTHipN32Pq6upCZmYmbDYbFk+aBOMbb4Dv2UPc+oQE6OefTwn0o/VBTUmBSEnxNV68re2wQiHF0qUQM2eC5eRQ0+ENGExOhn7GGcDs2dBnzoSanAzhNwUDQFNoWSYXKv/3X1FokjxCQagkSb6tihACHR0dvShD4eHhiI6MRPLnn8O8cSNNvq1WaKedBvW223o3DQO97vHj6dg9vyuio8FaWkisP24cGTXs2wclJga7nU5wmw0L4+NhysyEnpDQkxsSG0sFbkcHFblhYZQvU1RETY/FAn3CBOKG19RQ8vinnw6+3WhqousuIuKQ+gN92TIoEycSXaurCyIlBfqiRWAHD4KXlhK9zbtRsVig3nHH0MTzstzjLtXrxAmyYg4Avn49DA8+CNbWBk2WITZuRFp4OKSHH4Y+bRo1dOHhgbUHmgb5nXfA7HZI06fD6vm8aLW1kA4cQE5YGJrr6xHqdPooQ/2ogkYjtHPOgfzaaxBdXXR9qipt4RITISZMgOH++4nu5HSSJshoJNqXxUI6kuRkaCedRIYBe/dCmM3QFiyA+pe/DDsZvi/02bOpka+t7dGnqCpYUxO0n/0MMJlQV1eHwsLCI47CxEpLe2iBjEE//niot99+2Cn0/pBlGZGyDIMkwZKQAAWAy+2G3W5HV3c3bN3dqC8oQIhnI+t974UQKCsrQ01NzaCi8P8vwBjEvHmjMlg7FDRNQ25uLlwuF9LT04emKejuhrRmDVEPQ0KgLV8e0CVyKBho6zIQXcz732ONo7FZ8TaLY7FZsdvtxzYrRwvGuiOVJAkul2vIP9/c3Izs7GzEx8dj2rRp/T7YLC8P/JNPwAoKIOLjoZ93HsRppw27YB9WOjtj0C+/nLYOJSUQYWFgDgfgdkO/4IJ+adSDoq0N0quvUrCl3U6i4RNOgH799b2OyavTSU5OxpQJEyA/+ijRzeLjKfOgqgrSSy9BM5sh0tOH/vwDJXYHwGEn2FutUB9+GNJrr4H98AOdr4wM6NddB7FgQa8vEO+0y3eYkyZBnz0bfPt2mkozRtP7piaIqVOpIThMMMZ6UYa82Q7mZ56B+u23aAsNhRwWBrPbDfmjjwAhhpSloqenQ58/H3zbNgrVk2VqILxJ6+XlcERHI3vaNNiSkjBt2jRIOTkUctjHiluEhIBFRUGPjKQmpbOTaGVGI9HjPNs1ERkJVlYGVlREWqC+sNshffwxpG3baIIdFATt+OOhXXzxoC5UIiGBXMf8/278eLg++ADy55+D5eQAERHQzjmHnKmGAJGWBqxd29NgAKQZ4TygW5s3FwWdnXAmJaGzqwu2mBhYDh6E+OMfwYxGwOGASEiA+otfUFCo37XEGhqIzhYV1evvpbg4yHv3Yr7NBvuSJT7KUHl5ecBcD/XGG8EqKijRvLGRir+EBCgPPkj6joIC6LNnQ2pqoudRVdItRUWBaRrUCy6A+tvfQquoII1KRAQZYIzGl3h8PLSrr4b05ptU7MkyaTKmTYN2ySWorKxEeXk55s6dOzQaqaaBb94MXlYGERtLGTCjJcT2A6upgfH22+l8hIWRvfNXX4EXFMD15pujGrSqp6QAoaFgra0wxMbCYDQiKCgIorsbrpgYtNhsKNm1C7Is+2yRGxoa0NraigULFhxVRdHhQFVV5OTkQNM0zJ8/f2hhzQ0NPaGVnu8c+e23odx1F7Qrrjis4znU1uXHFOkfjZoVb3N4jAZ2+Diqm5WxxlA3GEIIVFZWYu/evZg+fTqSArjXsG3bIN9zD200rFawvXtJ0FtVBf2mm8bkuHzHl54O7cEHwT/7DKyggKg6Z54J/dxzh94oCQHplVfA166FnphIG5W2NkhffAGYTJCuugq6rmPfvn0oKyvz6XTYnj2kJZk8uXeoX1ER+Jo10IbSrFRVQXrjDfANG4jKtHw5tOuv9211AuGwmxUAiIuD9pe/kIOW203TfI9d9kCNCgCAMSh/+xuMv/sdhUh6Oe9mM4TLBcP990O5++5Bj3+4sFgsGGcwwFRUBJGcDGdICFwuF5p1HSbOYfjyS7SffTbCJk6EYedOsKYm6BMmUIHt/+VmNEL5858hf/QR+PffA4oC7fzzoZ56KlhwMJo7O5HjcGD89OlISUmh1x4dTduijo5e+hfW0QERHg73k0+CFxRAWrMG8rvvQo+P773l4ZwaUbc74GuTPvoI0jffkCvTuHF03X35JcAYtKuuGv7Jio6mfIbhoKEB8hdfgG/ZAlZTQ+5VEREk1jeZoJ12GvQA1zIrKQGrroYzNBRdXV0IDg6GyWgEOjrAGxshIiPp81BeDsP99wOq2us1CYuFmrq+58ZrqWu1wmw2IykpyZem7aUK+ud6REdHI+qJJ2DOzSXr4rAwynZQVcjPPEPvSWQk9KlTiTqnaYDLBSYEtMWLoV5/PV37EycOb8AxRGjnnw99/HhqptrbIaZMgXrCCdjb0oLa2lrMnz9/aHTa+noYb72V9Fuez7+elAT3Sy9RoykEWHExbXl1HXpaGv39CAo86dNPaTuVkuJr2kRYGJiHtqfecsuwH3NAxMRAO+88SG+/DeZxfmMdHWCaBsM112B2RgZ0XUdraysaGxuRn58PTdMQHh6OlpYWcM5HVXPxvwhFUZCVlQVJknDccccFdmMLAMPLL4Pn5JDuzmika6y+Hoann4a+dGlAN7uRYjjWyKMt0h/LJPcjFWPZrHR3dx9rVo5hdDAUgb2maSgoKEBzczMWLFjQKyjKB12H9NJLFILnl0qOgwchvf029HPOGVbhOhJ6mpg7F9rcuf0tT4eKqiqwXbugJyX1TJSjo6GrKvj69YAnLX7//v29dDqsoYEcnPqG+oWHU8HXx5LSh7Y2sN27wYqLIb3zDtDcTM8rBPibb4Lt2QP1lVcGFKqPSrPihYc+IYSA8PtyCNioeF9faipcb74J03XXAZWV0FNSyL1J18FzciC/+y7Uu+4a/Hnr6ynY0GCAPmPGIfMEWEMDbR4SEmA2mWD22NwqVitEdTWaVq6E8euvEVpbCw5AtlggMjLgfuIJcsTyIjQU6i9+AVx3HRXFVisEyPGrvL0dM487DrF+U2ORmAh98WJIq1fTOQ8OBmttBWtpgXrVVUBUFPQTT6SNzebN5CpmtfocyVhzM0RSUmDaRGMjpO3biVbm5anHxkKAUsa1s84a8BrodW7q6sBXrQIvLYWIiYF22mlD11o0N8N4331g+fn0HhgMQGcnRFgYtAsuoIJ39uyA17FgDG5FgcPhQGhMDE1qOztp08YYHbvFQsVnTQ0Mjz9OVMnJk6n5CQuDdvzxkL74gsTtZjOJ3quqICZMIOtaP/SlCnZ63MWqq6tRWFhIznLHH9/jLFdf3xO6yRj09HSy6q6sBGtqgnrDDVB/97sx2Uz0AmMQc+ZA9Wyn/MXNw9kMGB56CNLu3aTbMpuJtlhVBeNvfgPXt99Ceucd2jR2dvrCI7Wzz4b6618PLyQTAM/J8el6fJAkMqbIzx/WYw0F6i9+AREaCunLL4kOmZwM7eKLySQDdM8LCwtDZWUlbDYbpk6divb2djQ0NKCkpARWq9W3cQsNDT3qKD2Dwe12IzMzEyaTCWlpaUMvTlUVfM0aui946WKMkcaxuhp806aRDVSGgL6NC4Ax3brouj60TdP/EHRdH7NtlVezcrTgqG5Wfgwa2GBNgcPhQFZWFjjnyMjIgHkgSkpdHVhZGUR0dO9GIToa2LcPLDe3H4XmUMflvSEN+xyM8Jyx5maifvV1NQsJgX7wIIp++AGwWpGent4r8FKEhtJzut29MjlYZ2fAUD8AQE0NpBdfJGrQ/v3EkQ8NpUItNJQKkIIC8JUroV9zTcDj5Zz7+KajcaMZyKVlMLDKSsoDWbKkd2hkbCzpA1paem0ifNB1SJ9+SoLslhYIj6uYduON0AfLxYmJoaKys9P3fIwxGJ1OsPBwpG3aBNTVwRUZCSdjQFcXzN9+iy6TCeKRR/qL/YxGErZ7HN0aGhoCT7gZo+bGYADfupWmzSEhUC+7DNrll/f8XFAQ1N/8BoaHH6ZkeqORrgubjexpA3x+WEsLNWB9BdWhoWAHDlDRdohmhZWUwHD33eBVVT6KkfTll1DvvNNX6A0Gac0aom5OmtRjDBEbS812VJTPvrkvdF1HvtuN8dHRiKqvB/MUQKyzkxp4m40KatAWitntQEcH5HfegbDZoB93HNQ774R6001U+OTl+WgmIjERyl13DUqDY4whJCQEISEhmDhxIpxOpy/Xo6KiAkajEdGRkZgUHw9raanvsyoSEkinMmkSOS6NdaPSB6qqIjc3F263e3ji5oYGSGvXUiPsPS8GA4XH7t8P+a23IK1YQed86lS6L7W2QvryS+izZ0M/7bRhHaeIjKRGry90fViZLkOGwUCW3ZdeSkYYwcG9GizvZoBzjvnz50OWZYSFhSElJQWKovg2bjk5ORBC+OhikZGRR3zWA6uspKEYY9BPOaXHtnsU4HK5sGfPHthsNsyePXt43xeaRpTFvs2N9z46wLZ4tNFXuzIWW5ejUbMyltS3Y5uVYxg1DBYK2draiqysLMTExGDGjBmDf4iNRirK+36x6XqPNe4wjwugD9JQV9WHCxEbS9OjtraehF8AakMDWtxuyHFxQEdHv8mLmDsXIjUVrLSURKcmE9DQQBSMU08N2Dzxr76i5m7GDAoDtFgo96G+vmeyDYDl5g54vP4c38O6wQoBlJVB1NdTQ5mSMuTHY04nFaV9z4nRCNbZSenwAX6Pb98O6YMPAKuVBNiaBrZ/P6SXXqLN1gACYxEfD+3kkyF/9hl0xnyp4Ly5mbJYNmyAiIuDyWKBCYAICoLW2Ajbxo3Ysm4dEBHhm8r7tA6ewtHpdGLhwoUDU0mCg6HecQdwySXUQHhCGftCu/RSiPh4SCtWgO/bB33yZGiXXz6gZkRERBBlrL29twNQWxtZEB9qqyIE5JdfBq+shD5pErlbORzghYUw/PrXkD76CNoFF5CQe4CpIc/MpM+o/7+bzbQVKijwbRX94XXC03Udtr/9DezBByknhjFqviSJil3GqPlubqb7gdkMfeZMalh37IBYtQraFVdAeeYZcn2qrCSdzfHHB250B0EgulhTUxPyZ8/G+MJC2HbuhBQRAZOigJnNUK+4YmyK7r4QwndPcEdEICs7G5IkIT09fVj3N9beHnCLC4MBTFXBdu+mgYu/kUJ4ONDUBL5ly7CbFe3ssyGtWUMaoKgouh4aG31W0mMGryObH1wuFzIzM2GxWDB79ux+BZbBYEBsbCxiY2N7mXNUVlb68ny8zcsR5VAkBORnnoHhmWfImREAzGYov/89bfwOEw6HA3v27PFl9gz7u8JkonvrmjWkW/L+fns7mYgM1cFwlDGYNfJIty5Hq2ZlrBq0Y83KMYwaAm1WhBCorq5GSUnJ0AMOo6OhL1wIvmYNUTkMBnJKqqkBEhKGJzLHCJsVlwt87VqwrVuJZrJgAfTTTx8ShQYAkJgIfdkySF99BV1VgZAQuOrqYK+rg7jqKszKyEDtt9/230RZrdB+9StIr78OVlbm037oV1wRON+lvZ00LnFxRKkwm8F0nRoWux3CI+wHMGiYZd/1eD8cOACelQUcOECai7lz+zujNTdD+sc/wHbupCInKAjasmUU/jeE9a0+caIvX8VnK+rhM4vp06mgD3TsmzYBqtrzO5xDTJwIXlQEafduaOedN+BzqrffToXuhg302qxWqD/7GfQpUyB9+23PxFnTwO12cAAGVcXx06ejJSKil9YhPDwcnZ2dsFqtWLBgwdAoAHFxh9wS6kuXUuL7UBAdDS0jA9IHH1BjoGlkn2s2E73iUNdvczN4djb06Gi6nhwO8MxMsO5uQNMgbdxI2SnbtkF56qnAmz6brScY1B9C9C+M0bNxtVqtvsLR/eqrtKGpqoKIi6PXU1MDeAJDvYWYnpLi24qJ0FCikVx+OTUxw8lDOgR60cWmTYNj3jzYv/wSekkJOj2ifdPcuYjq7BzT4pWVlEB+9lnw7GwITUN7dDSirr0WEy69dNhFgkhOpuaqoaH3xqmrC8Ji6Z8z44UkgXV1DfvY9RNOgHrrrZDeeIOaSJAeT73tNugLFw778UaKviGZhzpvfc05Am3cvI1LRETET1qg8rVrYXjqKRrqeDe63d0wPPkk9LS0IecaBYLdbseePXsQFRWFadOmjfgaV2+9FTwnh64Bi8V3r9AuuYRMKH5ijFYg5bHNyuiiu7v7iHI2HGsca1bGEH01K14etZcOEzGMyaZ2xx0+SpNPNxIZSQ5Nw+QtekOihqxbURRITzxBgW+c05+dO8G2bIH20ENDblj0G24AjEawjRthLy9HJ+cw33ADom66CWDMR0/rh9RUaA8+SK/d4SCL2IEmtrpO58eb8zFxIlh5Odndev+tsZGKt1NPHfBYB2tW2N694O++S0VNUBBQUAC2ezf0Sy7paRyFgPT002Dffw89IQEsPh5ob4e0ciVZ3fZJ1Q4IqxUiKQnSypUQhYUQ8fFgIBGudvnlAzopsaam/kUw53TNeAIpB0RwMNR77yUDgvp60nckJNC5t9no941GsPp6MJeL3g+rFYbvvkPUjTf6vrjr6upQXFwMzjna2tqQnZ3tK26HPQ0SgpzwsrMp72ThwmElnou4OLCmJvCDByEAOodJSdCHIvTu4yDHqqqoUTGZqGmPioKQJEirVpEY1kN5EtOmkXCaMQq33LixxwHMew1aLP3ycjo6OnwbV/8CSIwb10vUry1bBuNvfgNWXU0bOF2n1+Q/iZUkMLd75DqzIYIxBuv8+YDnuW3V1XB+9RW63n0XRQkJcE2ZguiYGJ+72JC/vDs7IX35JaR16wCHg0JIL7ywxyL64EEY77wTrLISang4up1OhJeWIuall+A+7rhhXSMAaOJ+220wPPQQ5Q1ZrWQSoKpQL7kE4sQTgR9+6J07pSjk9Ddv3vCeCyD64223QTv7bLIu5hx6RsaoCqoPha6uLuzZswdxcXGYMmXKiAruvhu31tZWNDU1oaSkBC6XCxEREYiKikJ0dPTAVOcxgvzhh8RI8KeeBgUB7e2QP/wQ7hE2K6Nx3rwQs2bB/Z//QH7vPfA9eyDCw6Gddx45ER4pGyo/DGaNPFgg5bFmZXRht9uPaVaOFvyYmhWn0+mjdWRkZAzfWWXCBKj/+Q9tN/btg4iMpGJ7BDa2/jePIf38jh3gGzYQF927jXC7ycFkzRroQ7VXtNngvvFGFE6ZAtfBg5hx4omw+U0GBtX4SBLEtGmHfo7wcMqF2b4dIjwcYuJE6GlptAXRdWowQkKg/eIXEBkZA79mz0223znSdbBvvyWzg1mzeorY/fvBVq8m61yLBaK8HGznTuhxcWDeL8qICAhVhbR+PdRrr+1Fh+uH5mYYf/1rEuE6neBOJ9DSAi0jA8p99w2ocwAAfepUyEVFEP5FqttN2pVBkt79IRISeumLxOTJ0E4/HdJnn1Hjp2kQjIEZDNDnziVb4HHjoJ13HhobG1FcXIzU1FSkpKTA5XKhsbERjY2NKCsrg8Vi8TUuYWFhg38ONQ3yM89A+uorwOEgOl9ICNRrr4X2858f+svc4YD87rv0nk+f7tM+scpKyO++CyU9fXAnp6go6GlpkDZtgh4aSjQdzn30PGGzEe//4EHIjz3WsxUKDYV27rnQLr0U+sknQ8vNhbRqFV1/QpD+5oorejUXTU1NyM3N9Z23wc6LSEuD65tvwDduBM/Pp61rcnKvzRdraaEt2o9YIEiffYaQBx5ASHs7YgGkmkzoOv107L3lFhQVFUFRFERGRvom7wPqSVwuGB59FHzrVmqSZRnSJ5+A79kD5ZFHqIn/5huwqiq4ExPRabfDEhkJOSGBKI+ffkrp8cOEdv31gNEI+dVXwWprgfBwKFdcQQJ6VQVfvZqcwKxWOq+dnRAzZkA744wRnzORkgLtxwyp9KCtrQ1ZWVlISUnBhAkTRuX7UJIk33srhEB3dzeamppQX1+PkpIS2Gw2X+MSGho65t/B7ODBwP8gBA1jRoCOjg5kZmYiOTkZqampo/IaxJQpUB588LAf58fGcAIpNU07cuiBPxKOaVZGD0d1szLW8Bbfra2tyM7ORmRkJGbOnDnyizc8HPqll47qsQ0FrKCAJoj+tCmjkShWO3YAQ2xWvHQDo9WKuRdd1E+UOVoOXPq559LEuaCANgxem9UJE4g+tWQJxNSph3ycgMfT3EwC8Pj4XoWySEggTUF1NbSJE2ly7nCA9c1KCA4GGhp8GRQDQX77bfCsLGoaTCZqPJqawA8c6B0UGej1n3IK9O3bKXckNpb49o2NJAIeTGB/CCh/+xtt2VasoAI9KAja3LnQ09JIrP7DD9g/bRoqqqsxa9YsxHhoat4k9eTkZKiqiubmZjQ1NSEnJwcAfMVLZGRkP1oiX7sW0mefkXg7KYk2IwcOwPD445DWroU+Ywa0c84JnFECSoz3hQWaTL5iXsTHg5eX91jHDgTGoN5yC1h5OXhZGW2TFIXek5gYQJbBuruJYsg5xIwZ9GsNDZA++YQyc+bPJzH+KaeA5+bSBH3+fHIv81xDNTU1KC4uHl5oodWK/8fed8e3VZ/dn3uvJC/ZlvdK7HjHcZx4JSRQZlgBApQyCrSlBQod0Ld7UEoLpbsv9Ffely5a4C2lrEDZOwl7xZb33tsaHrIkS7rj+/vj63sjKbZj2ZIs2zqfD5+WBOteyVf3Pud5nnOOtH8/pPPPB6fTgXvhBWq6EBEBZmYGUm4uxIsuWtpr+QFMdzfUd9xBVx7T0kDmTBi0L76I7dXVEL7wBVitVhiNRgwPD6O1tRWxsbEKcXVfF2M//pgG0ebkHBPop6VRd7+XXoJw001gu7ogSBIsc+FokfL3QqOhuTzLehMMxGuvpfkW09OeLk0AzZV57jlwR44AogjpM5+BcMklizceAg2zmV5/GRlLdiQzm82or69HYWEhNvtRbO4OhmGgnQua3LJlC3ieV777dXV1AOAh0g+EU5RUVQX2k0+O6TsB+v8ZBqSy0ufXkwlebm4utvgh72q9YaGpy8zMDOx2O11pdbmCHki5WgjkNMlqtYYnK2H4BxzHgRCCTz75BEVFRSfslgYTPtkXc9z8yb+StKCo2BsTExPQ6/ULBl76fE6LIT8f4ne+Q1cr+vqApCQaxOhjIvC8ZEVeg5tn4gKWhYg5u8LMzHkNBZipKSA+nhoOLALulVco0ZILMIahr9PfD+699yAs8l5Ifj6E73wH3NNPg+3oAFQqiBddBOEzn1lSCv2CiI6GeMUVYEZH6QpVdPSxfIjISEyOjGCopwdVe/ZQxy+7nRZ8CQkKSVCpVB5C3enpaSWMsLGxEYluIv3IyEhwhw/TNQ55ZdJiAdPTA8ZiATc9Dfajj6B66inwt90G8fLLl/5eyLxX9Pz/6bZt4O+/H9yLL4J7/HEaPJiRQTUMADAXhEi2bVPIB0lLA2M2g/3kEzo9YVmQigqIXutChBB0d3djcHAQFRUVPq2GKmAYiF/6EtUlvfceGIsF4vbtkM45h5Jdf4EQME1NYNvbQWJjIZ18skcDg3vxReokl55+jMjHxgJ2O1RPPgnxuusQGxuL2NhY5OXlwel0KlqHvr4+qNVqpXhNa2+n0yt3JzGOA2Jj6WQDwKRajRinE7ExMdC4E3ieP6bXWi44bn4DgoQEiNddR6d6q42xMajvvx/su+9SjdrmzRCuu45qCRfB+Pg4mpqafCPGfoBarUZ6ejrS09OV777JZEJvby+ampoQHx+vWCPHxMT45VkpXHcduMcfp80h2eHQ6QRJSoLg4+9wYmICdXV1ASV46wnyM95ut6OxsRHZ2dlISkpalUDK1UKgJyuxi+hu1xs2NFkJJHGQJAldXV0AgB07diDdjwF+/oAvxIBUVoJ56ikQk+lY4W2z0QfkEoTOg4ODaGtrw9atWxe9yfs12yQjA9KnP72il2BZ9vjPKCkJpKAAzNGj1OxApaKrYX19kDZvhpiVBZZhwGzaBPGss8A9/TRdmdJqqduQ1UpJw4kC6nh+4fWdBRzm3EG2baOEZmqKEko/dWBIZiYt0nleISqSKMLS0YHp/HxUnXoqolQqcI8+SgmXxUInW/v308R4t84vwzDQ6XTQ6XQoLCw8bmVEq9WifGQEsQwDZm6lje3spIJytRokLo5meoyNQf3f/w3xzDOP0zKRrVvp1GtoCCQvjxbRkkQJV3n5ki1MyebNEL7yFQhXXAHNTTdRQezMDH0fPA8pM/N4wwO1elGNkKxhk1PCV9QlU6noRG0FgmEPEAL26FGwhw+DMRhAcnNpEGtNDZjZWUq+MjPB33GHIgZnpqfp5+t9X1WrKaHzQkREBLKyspCVlQVJkhR3sba2Nkz09qLAZoNktSIyKurYA5/nIWm16OrqwlR+PvakpEBlMCiTTsZgoNknF17on88hVOFwQHPbbWD1ekhJSYBWC6azE+pf/AJ8VBSkU0+d98eGhobQ0dGBHTt2IMXdHS/IcP/uFxQUYHZ2ViGu3d3diIiIUIirTzonL5C8PDgfe4zm53zyCQCq9+J/+tPFJ6pekFc0t27dikx/NgDWOeSVuezsbOTl5Sl/HuxAytVCoDUr4TWwMFYEl8sFvV6vdA6WlJwcZPhEVioqIF52GbiDB+nOPUCLozPOgHTOOQv+nCRJaGtrw+joqKehgCTR4sXLQtNvkxU/YSHBv3T++WDNZjBtbUrxK6Wnw3XBBWAjIhQSLHz1q0BkJLjXX6edvbg4iFdcAXGBbBePY5x+OrUfdg+9tFioMcBSV7nk0EAfwfT0gPvPf6jDUnw8pHPOoeGJajVITg6kvXvBvf46iMUCQaPBVFcXEBeHzC9+EWx0NLgHHoDqsccArZamq09OQvXAAzTNfpH3HhMTg5iYGCXXwWQyYSo/H6qjR2EfH0ekSoU4s5lmnci70ENDgMMBZmIC3GOPQfz61z1fNCoKwo03QnXPPfT3pVYrnXfhhht813MkJcH10EPgnn8e7NGj1ARBpwP31luUwMkrQ4JAO7gL6KwEQUB9fT14nseuXbuWJTxmGhuheuYZMMPDkPLzIX7mM35Lh+eefRaqv/+d6pMiI8G8/DJdJczPp6RPEIDBQajvvBPOf/0L0OkgbdsGFQDinolECOBwnNCClWVZpTgtLi6GIz4e+OQTiP39GNfpoNZoEOVyIcrlwkB+PkZHR1Fx2WUgSUkg99xDrwNCQBISINx0E6RTTvHL5xCqYN9/H2xjI6Ts7GOrjbGxYLq6wD3++Lxkpa+vD729vaioqEDCMu4LgURUVJSyKupui93a2gqXy+Whc/L1u0LKy+F6+mllAuqrnbbBYEBjYyNKS0tDrukYyrBYLKipqcGWLVuQm5vr8XfzrYvJxGU9TV0CRVZkPVh4DWwDgWEYqgfwE6anp6HX66HT6VBVVYXDhw/7twDneZpu7HTStaZlEqF5pwYLgWEg3XgjSFUVmNpaWuyVllKB+gIZLy6XC3V1dXC5XNi7dy+i59Y5mPp6sE8+SfUdHAdSVUWdrTIy/DtZ8X4LdXVgX3sNmJgA2boV0gUX0BDERbDg+WRmQrr5Zhr0ZzJB0mohbt0KJiXFc1oXHQ3h61+HcM01lKykpi5ql+wO4brraC5GXx9dBZubtIiXXgppGbvWSwXT2Qn1D39IbXFjY8H09YHV68G0t0P47nfplGjTJpD0dAi9vTAAYCsqkPTZzwLbt9PE+Fdfpfklc6tuJC4OzMgIuJdeooLvJVyzarWarqh85StQt7UhsrUVvEoFwvP0+6rR0CBElgXDsoDTCdWzz4Ls3n0cmZNOOw18ejq4I0eA0VFKuM4665irlK+IjaXhenKytMUCTEzQ0EXZ3nZiAlJJCcR5Jo8OhwN6vR4RERE+Z4HI4F58EerbbqPhqCwL9vXXoXrqKbjuu2/BzJklw2SiRJllKdkiBEx7O/1fi4WulqnVQHY2mIEBcO++S80Ezj8f0oMPgm1sBImKoiTbagXi42no5xLBMAyiduwAd8stiPrHPxA3MQFeEOBiWfSUlqIrNxepOh1mZ2cRdf751G3tk0+ohqSy0jNPZ52C6e+n3wPvwj0+Hqy7YyRoYdPV1YXh4WFUVVUhLi5uFc546fCwxSYEVqsVJpNJcRjUarWKzi0uLm7pGxLL0BWNjo6ipaVl1SdRaw3T09Oora1dkrZnPpH+epm6hAX2/sOGJyv+xMjICJqbm5Gfn6+4qywWDOkrGL0e3G9+A6a3l3bck5IgfvGL1I3Lx5U2b1vlE4JlQaqqQJYQUmW1WlFbWwutVovKykqlGGM6O8Hdcw9gNtO1DUEA8+qr4IaGIP7sZycmUIRQHYR3wN6JTv3xx+lxZ2ZoJ/3558E9/TT4P/wBcBtNH/+WFyZPJDaWWqnOna/sHjYvEhJOHD7o/fpbtsD1wAPgnnySCo1jYyHt30+L/QCuL3KPPQZ2eBhSUdGxqcPkJLhXX4W4Zw/Uf/0r2Lo6iC4XJJ5H8qZNYO+4Q8kDYEZGaAHtRQRIQgKY0VEwY2NULL9UpKVB+N3vwD35JCLeegvM5CQYmw0Sx0EEILIsOJcLbFQUBI0G7HPP0YLV6wFBioogFBWt5KNZGHFxEL79bXCvvAL2/fcBQiDt20cdorx0DzMzM9Dr9UhKSkJJSYlvD93xcbADAyCRkVD98peA3Q4pK+vYatvICNS/+AWc//nPihzA2LY2MCbTMetfUaQNiogIuv4pT05kkjU1Rf83JgbOBx6A+t576QqgKEI65RQI3/gGyDKsfcWLL4ZUXg726FGQ2Vl0MgyseXnYnpuLyclJD2vclK1bl9V1nw9MfT1Ujz4KtrMT0pYtED/72aDmniwJSUnUGU8QPEX1Nhs1D3EjKq2trTCbzdi1a9eaK24YhlF0Trm5uXC5XIpIv7a2FgzDKMQlMTHRryJ9eWWuvLwcScEIN10nkE0I8vPzl5Yj54VABFKuFkRRXNjxcIUIa1bC8BmSJKGjowNDQ0MoLy/36MD4TAoWgtEI7ic/ATM8TDubKhUYoxHc//t/IKmpIItkhsyHQE0xDAYDGhoakJOTg4KCAo8Cnnn9dcBopPa+8sM0Ph5MayuYufTrhc6JaWwE+9JLlKhFRkI69VRI+/d7CnDnw9gYuP/5H1pw5efT4woC0NUF7s9/hvjb3y74owt9Ru43T/m/CwRIVpZfUpaXDFGkhWFCgmexq9MBRiPU99wDtqUFjoQE2GNiEBMRgQiDAeT22+F86ilawCYkgERG0qLWfepms9FgvWVMAsmmTTSX5lvfAqPXI+L668H194ONiIBKEEBYFpaiIkxFRCBSr4fpww+RUFICnU4XvIdYcjLEz30O4rXXeuT8uGNiYgL19fXK/vYJO8ITE+DeeAPsRx+BaW4GazDQaaQgUEKZnX2MuLIsDRDt6gLT2bkkt7sFwXEKAQLH0X90OmBk5NjfATQsUa0GcSeB6engf/MbasPqctFJ4koyKLKzYUtNRW1tLaKjo1E1F5IpGzTYbDYYjUaPrrvclY+NjV1a1310FGx/P70XDQ7S7JaZGZqfc/QouJdeAv+LX1DNVYhAPPVUcJs2genro7ortRqM2QyGEOpOBvpcampqgtVqXfaqYahBo9EgIyMDGRkZkCRJEenLBh06nU4R6UdHRy9bl9rf34+enp6QXJkLZchEpaCgwC8mBP4KpFwtBMoNTBAEOJ3ONdd8WAk2PFlZ6RqYy+VCfX09nE4n9u7de9zF4y8dBvvmm8dEwrIDU1YWtVR99lmIPpIVf+tDCCHo7e1Fd3c3tm/fPq/LDNPZeXzxMlfQMqOjYJOT5z0npqkJ3B//CExNgaSkABYL2EcfBYaHId1yy6JdZPbjj2kY35Ytx46rUgE6Hdj334c4M7PgatZ8ZMV9t1bu6gQFk5N0JSwqina8AzFaZhi6cma3e/45IdT+uK0Ns5GRcDAMYrVaqFQqGlTZ20tdr045BWTzZkhVVeAOHQKZszeGxQLGYIB4wQXUKWoFIBUVcP3iF1DffjsYngeJjQUpKoJ282bEGI1w2u0YZVk0NjZCkiQPW2S/dV0JAdPSAu7DD0E4jr5veQoxn8Acx9ZJSkpKlibQnZiA+u676WqZbFnNcXSVMDKS6nTGx0G8dsH9AWn7dmpKMDCgmBJIubnghofpvdJqpWGJVivE00+fX48SGXn8itIyYLValUmUt4uguzWu3HWXRdoDAwNgWVYpXJOSko5fx3C5oPrTn8C99BJd5VOraeinIByzJp8L8FT/+tcQzz9/ZW56/kRCAvg774T6l78E299PJ186HYTPfQ7ipZdCFEVFE1VdXX2cTfx6AMuySEhIQEJCAgoLCxWRvpznFBERofz+ExISllw09vT0YGBgAJWVlSGpNw1VTE5OQq/Xo6ioCJsCFGy63EDK1UKg1sCsVisAhCcrYSwNMzMzqK2tRWxsLPbs2TPv7rm/SAEjC9u911uio8EMDPj8ess5L6alBezrrwP9/UB2NrVGLS2FKIpobm7GxMQEdu/evfANPj0dmHNIUyBJ1OkpPn5+QTshYF99lYYwulvDxseD/eQTkI6OxcMiF3qPLEsLEXei6nAAo6N0xSwz8ziy4n5j9ImozImMoVYvOQdBgSSBe/ppcM8+C2ZiAtBoIBUVQfjKV/xfqDIMpN27wf3731SYHx1NC/OhIYhaLfjpaYgsi7i4uGMPAI2G6mlk16u5VG7G6aSJ80NDQEwMxNNP90m3sBikc86B9O67YDo6aFdfpaLBmePjiDj/fGzduxfF81ijJiQkKF13n0NZlYNLUP32t1D9+9+U1DEMEBMD4cYbIXzta8cRFUII+vr60NfX59M6CffGG1RAvWULuL4+Gj6p0YCZmgIpKKCid4uFTqxiYujvaXKSup8VFCzvvcmIjaWmBPfdB6a1VSnapZNPBomKAjM6Sv+bK6+E8KUvBYY441iXdqmTKI1Gg8zMTGRmZkKSJCVJvaOjY94kde7RR+m1rtOBbNkCGAxgJyepZbh8LNmkwmQCW1u7oMvWaoCUl8P1z3+Cra0F7Hb6u8/KAs/z0Ov1YFkWVVVVy9JErUXMJ9I3Go1obm6GIAgnDCOVtT0jIyOoqqryvRA0m8E99xzYpiYgIQHChRcua/1xLUK2dS4uLkbWEoOHVwpfAilXa10sUGTFZrMBQFhgH8aJMTY2hsbGRuTm5iI/P3/BB6m/NCtk06ZjK0zyw4cQur+/SBL7QvCVrDDvvkt1H5OTtIjV68G99RZmv/Y1HJ37wuzdu3fR/UzptNPAffwxLWBlzUpfH0hmJqRdu8BOTBx/TjwPprubBii6f8ZxccDgIH2tRciKVF0NLi6OhjTK2SaSRAXQ55xDXwcA8/HHYF95hbqdcRxIQQEiCwogzoky3Ts3vhAVpq4OqieeANvWBhIRAfHssyFecYVy3EXhdEL161/TBHaWhbRlC0hKCti6OqjuuQf8b35z4jW4JYIZGKD6mKYmOkU5ehSIiwOJjISo06HlrLOw5YUXEDs56TnJmpwEYmM9CWNyMvif/5wGMppMdE2xqMh/Whu1GsIXvwjVX/4CpqODkkGVClJ5OYTLLqPvZx5rVKPRCKPRiI6ODsTExCjEZckiXasV3MMPQ/X3v4NotcDcmgNjNkP15z9Dqqig2SNzkN3wTCYTqqurfSp+2KNHqUidEEoGZaJLCDA7C6moiBZF4+NgoqPpNECnA/+DH/iFPEinngp+82aa2zI1BbJ5MzULSEig2TnuGUABgNFoRGNj47IzLViWRVJSEpKSklBUVAS73Q6j0YixsTG0t7cjVqNB1WOPARoNOPneEhNDPzunk7qgyYRWbmiE0HqJgogIj/u/0+lEbW0toqKiUDa3MrcRMZ9I3zuMVCYusuFAe3s7DAYDqqurfV6vYQYGoLnhBmocM3e9cI89Bv573wuNTJ4AQg4YXW1b58WmLqu1LhYosmK32xHlbum+AbDhyYqvazyEEHR2dmJgYAA7d+5UUroXgr8mK9JZZ4H917/AdHXRQME5zQpiYiDNFWi+gOM4OJ3Opf3HTifYhx8GY7UeS90mBGJ7O6b+8Ado77wT2yoqTvjFIXv2QPr858H+5z9Aezvds8/OhnTDDUBaGrjpafA87/lDKhVITAzNenD/c54/VmAshs2bIX7pS+D+/Gegp4cWfC4XsGkTpK98BQBofsS//02nMFlZgCCAra9HakcH7Js2edzsfCIqjY1Q33UXLdiTksBYLFA99BDY7m7wd921+JTF5YL6Bz+A6oknFCtYrqEBZHQU4kkn0fW/o0chnXbaks5lUUxPQ/XnP1NSmJVFk9abmwFBgO3ss1Gbl4e48nJE5OeDuftuoL+fOnzNzlI74quvPn7KwzAgJSXzh4n6AaSoCPxPfwq2ro46VKWmQtq5c8ECOioqCtnZ2cjOzlaStI1GI2pra5V1IVmkK1/HzOgo2LffBtPbC2Z4mArP29vpRIPnKZmIigJJTqZk75VXFLIiCAIaGxvhcDiwe/du3+1WNRpqzxwZSadXTucxUwmGAYmLg5SbC6mqiqaXFxdDuOIKOn30E8iWLRDnc/KRwzADhOHhYbS3t6O0tBRpJwhPXQoYhlFsseUk9cn2dsBiwTTLQjQaERERgQiNBlExMTQvhucpWSEEzNQUpPT0E9ovrzbsdjtqa2uh0+mwbdu2kNrdX024i/Tz8vLmXRdUqVQQBAGVlZXL0gGo/vAHsF1dkDIylKYCYzJBfe+9kPbto83GdQg5f6akpCSoAaMnwommLsES6UuSFLA1sJVostYiNjxZ8QU8z6OhoQE2mw179uxZ0gjObwJ7nQ7ib34D7r//G0xjI7WQzc6G9OUvUwthH+GLdTHT13dM2D/35bDNzmJarUaizYYU2ab0hC/EQLr0Ukinngqmq4vmdpSUKB3Mec+JZUHOPBPMP/4BTEzQzq48bdm8GaSs7ISHlW68EaSwEOzLL1PiUFYG8dJLqY4FAPPRR2BsNo9Cj2zdiqgPPoCrrQ3i3NRgUcevecA98ww93pw7DwGotehHH9GVkkUchthDh8AdPgzCcVT3EREBIopgDAaaKQGAmZxc8rksBramBkxPD52OzBEo6VOfgqu2Fj0WC9JPPhnZ2dkgxcXgIyPB/d//UevUjAyIV1wB4Qtf8Mt5LBmEgGlrA9vQAERHH+v4LxHuSdqSJGFqagpGo1Fxl0pKSkKm1YqMBx+EangYsFrBdnZSDQ7DABwHxmoFMzAAKT+ffmYMQycOoN1tvV4PlUqF6urqZWllpFNOAXf0KIjDQfUizc0g09NKd58dHYV4+ung7703oO5wPsPpBPf44+Cefx6MzQbxlFMgfuELVARuNIJ7801qkpGUBPHMM49pfXBM99bf34/y8vJjuUx+hlqtRmpxMTTZ2YgeGYFLp4PT6cSMzQZnUhLiZ2aAqSkwdjsYUOc//qc/9YsGJ1CwWq2oqalBeno6ioqKNlQRc0IIAti33gLb0gKSkgLN/v3KuqAgCKirq8PMzAzUajU++ugjZV1UFumfEHY7uMOHIWm1xxpQDEMbVHMND8XmfB1Bnn6GGlGZD95Tl2BZI4uiGBASZLVaN5S4HgiTlSVDtuONiYnB3r17l1yA+FPITgoKINx/P9DfTwPncnMXzDlZynkt2Q2M42iRJEkgAKanpmC12ZCs0yFyZgaiWu1bBz0pCWSe3f0FQxj37QNGRsC+8w7VlLhPZJays8kwIGecAfGMM+b/+5ERmkbvBjLnemTp74dzYACpqalLe3ApL0A8czdkaLXA0BCY7m5gEbLCffIJXfmLjaV6kIgIup7GsmAHB0Fyco5PTF8mGDldfO5BSwjB1PQ0nDyPLQwDjWw/yTAQL7yQCuXnwgKDvhrD81DffTe4559XNCOqlBTwP/nJogGlC4FlWSQmJiIxMRFFRUXUXcpgAP70J1iam+HMy0PS2Bg0Gg0YtZpqj+R8C6eTTnXm1kik8nLYbDalu11aWrrsB5V05pkQ6+rAvfMOMLfixUxNgURHAxoNxDPPBP/tb4cWURFFqOcsnAEAHAdVayu4V18F//OfQ/XXv9I1mTm9GPfss+C/9S1IZ58NQgja29sxPj7u88rcsqBWQ/zMZ6D6wx8QYTRCk5CA2DkiajnvPEwnJYHr64OQlQXXZZch7uSTEUdISJIAWduTk5OjWOaHMQeTCRHXXQdWr1fWs8jdd8P1179C2LMHTU1N4Hkep5xyCjQaDex2uyLS7+joQFRUlKJzWtBdUJI8cm0UyP/up+iCUILRaERDQ8OaDMoMZiBlIDUrWq12Q33XNzxZWcovW7bjzc7ORmFhoW/ddT/mrACgN8AtW1a8XuNTgn1uLkhBAZj6epiSkyGIItKSk6Hp7YW0bRt1DPIDFpz2RERAuuEGSGedBWZwkK7ebN/uN70GsrKodmbuXwkhkHgeWq0WCfn5GDSb0dXV5ZvOgWEoUenv9/xzUaR/dyLNimwkkJQE1moFkfNlRBGwWiFt2+a3cEii09EHriSBMAyMJhNm7XZkRUWBzcvDcb8RhvHfZ+8LpqbA/etf4J58kpLL7GxAFMGMjUH905/CtW0byArEnYq7lN0OjcUCaetW2OeE7C5CQBgGagCcRgPG4aCf2eQktbktLsbE6adD/8kn2LRp06I6tiUhMhLCd78L6YwzqMhdpaJTnLg4IDFxRe8zUGDfeQfc669T8iZ3/UQR7MAA1D/5CRiehyQ72RECpq8Pqr/8BY7qajT298NqtWL37t3LNz/wEeJllwEuF7innqKEPSIC4iWXIOLrX0dqUhJ4nofJZMKUyYSuuXVBWeeQlJQUEsJ1WS+wXG3Peof6zjvB1tQoBhUQRTAmEzRf/Spq778fTq/pZ3R0tLIuKgiCItKX3QXdRfqKw5pWSzWXb7xBr325sJ2aAqKjl6UpDWUYDAY0NjZi+/btflnTXE0E2ho5kJoVn5qn6wCrf7cNYRBC0N3djd7eXpSVlS2rg8Bx3PE6jBCATxMfjoPtc5/DbFsbonp7KaOfmKA2tTfd5LvD1SLntOC0h2GAvDy/ESN3kJNOAqmvB9PdTXfTXS4wg4NgCgqQetZZSNVqFZ2DwWBAbW2th4AzMTFx3huYeN55UN13HxWh63T0QdnXB5KWBvEEIXPi3r3gnnoK4DhImzeDGR+nGhFJgrh3L/jvfMdvAmepspKm0re2whAdDQHAZlEEp9OBD/aDVhDADA/TFUHZPnZsDKoHHgD3wQdg6uvpGmBcHAjDUE1TZiaYwUGwr78O8Ytf9NupMCyLGK0WbHIymLExiHPakamMDERMTiJychKSRgPxiitguOIKNPT1+de2U62mhc4aKXZYeRrovp7AcSAaDdj2doh79hxbF2UYusff24vugwfh2L4du3btCq7FLsdBvPZaiJdcAmZkhGYAuRVfarXaI9NjamoKJpMJXV1daGxs9HAXCxbBcsf4+Diampqwbdu2kF/DWRVMT4N78UUQtfrYBgLH0YDdkRHEffQRsr/xjQVJp0qlQmpqKlJTU0EIwczMDIxGIwYHB9HS0oK4uLhjIv1vfAORTU1gRkaotkwQAI6DcP31HquOax3yNVdWVnZCve5axGKBlL5aI8s/GyjNykZyAgPCZGVByAJZi8WCPXv2LHstwW+aFXc4nYDJBMTHL20Nah74QlbMZjPqpqeR/eMfo2h0FJLRCKSkUBtPPz4kAxVUCYCG6j35JJjGRpD0dJCLLoJ0/vm0aNq6FeLVV4N59VWass6yIBUVkC65RPl8vXUOk5OTMBqNaG1tBc/zStGSnJysdOnEiy8G09sL7tAhYHycHisjgwY9ugWHzgfp9NMhHjhA150EgWpW1GqIu3eD/5//WTAbZllITobtuusw+cc/Qms0Ii02FkhPh3DppTTA0xtWK9j2dpDISKo58tMqGPvxx7TLPTBAJwlbt0K8/HKo7r0XbF0d3QEXRTA8TydWubl0wsKyAMP4TcODlBRIJSXgPvgAUnw8SF4eDWCdmgK0WsSlpYEAsJaUQH/rrZjmOMBoRGZmZsB0FgtiehrM2Bg13VhM+O5y0XDJ7m6l20v83YmXH8reKzGSNG/+jAjAabOBJQTV1dWr52yj1XoGW86D+dYFTSYTDAaD4i4n3wPi4+MDvp4hp6vv2LHDI4Q4jGNgZmZoFpM7GSEETkGAGkB+YqLn3y32WgyDuLg4xMXFIT8/H06nUxHp9/X1QaVSIetnP8PmI0egbWkBUlNp3s3+/YF5c6uAsbExNDc3b5hr7kRTF3drZJm0uBMX+e8DtQYW1qxsMMz3ULHZbNDr9YiIiMDevXtX1O3za/giIWCffBLs449T4XZ0NMizIq1+AADZ90lEQVT550O88Uafw8qWel4DAwNob29HSUkJNm3aBAIEzOHJ30GVMpiPP4bq+9+nBC8mhhZsH34I9PVB+upX6c2nshLStm1gxsbAaDSUhC1QcLjbohYXFysdt76+PjQ3N3vmeXz3uxAPHKAC7agoSNXVS3NTUqnA//SnEE87jeoWeB7SSSdBPO+8Y5aqfsLU1BTqJieR/s1vIk2jgSCKNHfCe8xMCLgnnqDaA5OJTn2Ki8H/+Md0LW8FYFpaoPrf/wVmZuhERRTBffQRdfsaGqL6rIgIICkJGBujBM5koqTN6aREcCWp7R4nw0C8+mqwQ0NgW1tpSntSEs25iYmh7lu7d0P9rW8hTpJgHxtDZmYmrFYr3n//fURHRyu//4AVrk4nVP/v/0F18CBgswFRURAuvRTCt799/PUxPU3DAz/+mK4REgI8+ij4r30N0rnn+u2UxLPOguqBB6i2RtZqOZ2AKNLvlsFApxcsC0EQYO/oAJuUhNxLLgG7xiw4ZXexnJwcZepqMplQV1cHAB5hpP5eF+vr60Nvb284Xf0EIOnpdOra3w8SGUmJissFjufBRUSALy9f9mtHREQgKysLWVlZHpk+n1x0ERxnn42EhAR6DTidqzJ18zdGR0fR2tqKnTt3InnOzn+jwddASnn9P5CalY2EDU9WvCELx7KyslBUVLRiJwd/FuDsk0+C++//pqNsnQ6w28E+/DBgMkG86y6fxLYnOi9JktDa2qoIXoPxUAzIZIUQcH/5C2A207A8+TMyGMD9618QL7oI4tyaB6PRgJnPqnUReHfcFsrzSD39dMTGxvpWuKpUNABxGcLxpWJsbAwtLS0oKChA9pyQfiEyyr75JtS/+Q3VtiQnKxbPmu9+F85//YsSiWWCO3IEzOQkJNkaG4Ck1YI7fBhwOkHmVt6k3FxwZjNNcJ+eBjGZwMzMQKqogHjWWcs+vjdIYSFcd94J7p13aLGTkgKpooJOcSIjIeTmoqm5GVarFSeddJJSkAiCoNgiy4WrTFzmTVFfJlS//z1UDz0EREaCaLVg7HaoHnwQjMMB/uc/9/hvuYMHwb73HkhODiWgkgRmYADqP/8Zzh07aFirH0B27qRhkn/7G12HIYTmA1VVgf/mN6G+5x4wHR0Q1Wo4p6agiYuD6utfh7TGu7TeU1c5jLS7uxuNjY0nDiMdH6fNDK2WuhsucI3IoYXDw8OoqqpS8kHCWAAqFfhvfhOa730PmJwEz3FQiyI4AOL+/SA7d/rlMN7NK3nqJj8DoqOjPaZua81SemRkBG1tbdi5c+eSQ23XO5YSSClHQ8j/7s/fu91uD09WNipk28zu7m6Ulpb6LdzIbwJ7pxPsY49RoiK7M8XFgUREgH3rLUhdXT7txi5mXexyuaDX6yEIAvbu3Ru4zpAkeawQBWSyYjSCaWs7PlQyOZnmruj1kNLSfEukXwTeeR7yQ+vo0aNQqVSUuKSmIiEhYVUfWnKyuqzH8h7rM4ODYI8epV3x7dtBiovBPfEEJQ45OfQ/iogAiYigGSOvvw7xs59d9vkw/f00aNH9d6BSgahUYGw2OhHgOCAxEWJFBdj6ejBz5yBeeCH4r3/d/9ayGRkQr7zyuD92uVyoq60FwzDH6SxUKhXS0tKQlpamFK5GoxGdnZ2KzkFeF/Q1e0WBwQDV009TZ7C5tTMSFQWwLLjnn4fw1a9Sm3EAkCRwb75JJ1DypGzOTY/p7AR39CjEiy5a3nl4g2EgfOtb1Hb5tddoeGVlJXWPi44Gn5WF2aeewvTHHyPm5JMRd/nlIZ9d4itYlkVCQgISEhJQWFh4nLuUx9RNq4X6T38C98QTNLtHraaTyp/+9Li1NEIIWltbYTabsWvXrg1XqCwX4tVXwypJkH7/e0QbDGCTkiBcfXVAnfS8p24TExNKHoks0pebF0HVaC0DYaKyNHhPXQRBQHd3N+Lj44+buvjDGjlsXbwBIY/rmpqaMDU1hd27dyM+Pt5vr++3AtxgoKtf3hMOnY6mrvf1AT6QlYXE7DMzM6itrUVcXByqqqr873gjSWAOHwZ76BBdC8nNhXTeeSBVVYGZrGg0lBB5/w7m9ugllcpvRMUb3gJd2VmmubkZoigqDy13nUswIE/N5MLHQ49FCLinn6Zd+6kp+mcxMXSVrbeXFsjumMsYYUZGVnROJCMDTFub5x+KIqDT0YDE3l5K0lUqMJIEkpcH/pZbIB44EFRnMrvdDr1eD61Wi+3bti06KXEvXIuKiuCor8fs4cOwmc1oTUgAv2sXkrOykJKS4pMNJTs4SFe/vIsHrZaS895eD7ICh+NYoKQM+VhLDYZdKhgG0kknQTrppOP+aiQyEi2Vldj2uc9Bm5GBwKjTQgvu7lJy4SpP3TIPHULxk0+CaLVgMzPB8jydVP7gB3RSOXddS5KEpqYmWK1W7Nq1a/kkdwPCZrOhZvNmpD76KIozMsC4Z6EEAWq1WmleEEJgsVhgNBrR39+P5uZmxMXFKc+AULOilXVRgcw8Wq9obm6GJEkoLy9XdMv+tEa22Wwb7ney4cnK7OwsPvroI6hUKuzduxcRfnJYkuE3gX18PN1Ft9s9xdVy3oWPF65MoohbdsD4+DgaGhqQm5s7v/WqJIHR68E0NdHu7M6ddG3Bhxss+9RTdELEsnR95eOPwTU3Q/z618GVlflvsiJJYD78kGazCALYgQGqt0lKokXw0BCktDSQk04KygPC3fZ069atykNrXp2L2ySLGR4G+8Yb1H0tP5+uOi11V5XnwTQ10Z9NSQHZtg08Iaivr4cgCPMmqzMtLVD9/e8AIXRSxzCA2Qzu4EGQmBiwdrvnmpgg0P92hZNI8fTTqQC8t5fa8goCDV3My6N5GH//O7WtniMw4uc/D/Hyy5cWRuonTE9PQ6/XY3NkJIpfegncrbeC4XmIn/oUhBtvXFQzwz3zDOIeegjxU1MAwyCPZTHT14eOz34WfX19UKvVyu//RFM3kppK9TsOh2fO0ty/e+TvqFSQKivBvfwyNXXwtlX1l87nBOjr60NPTw/Ky8vXRoeWEErkIiL81oH3KFwlSVnptUZFQbRYoFaroU5JQWRXF9h33oF03nkQRRH19fXgeR7V1dUh34kPJciNt8zMTBQUFKw6EWAYBvHx8YiPj0dBQQEcDoci0u/t7YVarVaeEYmJiatnOAFgcHAQnZ2dYV2Uj5AkCfX19XC5XKisrFSakP4OpLTb7WHNykYDx3FIS0tDXl5eQNZy/DZZiYuDdN55YP/5T7q/Hx8PzM6CGRwEqagA8VEs6L5rybIsenp60NPTs7BFsyCA+9//BfPqq/QhTggtdi6+GNKNNy7NEcpoBPvSS9TBaa64JRkZYDo6wP7nP2BLS/02WWFef52uLbEspLIysEYjmPZ2SvQiI0ESEyF897tgliJ29zO8H1p2ux1Go1FxFtJqtUhJSUFWRwfif/tbKmafc1PiHn0U/D33nJgcjI5C9ec/g21ro4RCrYazuBj6k06CJjNT6fh4g/vgA8BioYW3/HBPTj5mvxwRQW1ek5IooTAYQHJyIK5QV0PKyyHceCN1A+vvp+uOxcUQrrsOZNs2uE45hQa7zc6CbN0a9JwRg8GApqYmFGZkIP+OO8DW1wPR0SAsC+4//wF79ChcDz5IjQm8wPT1gXv4YTCEUPc0hgHsdsQ1NKB8zx7wn/2sx9RNEASPqZt3gUo2b4Z4+unUlpVlaQfebqean337qDbLDeIVV9C1ufZ2mtMyJ3oXL7pofrc3P4IQgs7OToyOjqK6ujr0dRaiCO7//g+qf/6TXtubNkG4/nqIV1zh17UhxumEemoK0Omg0+kgShJcLhd4lwuYnUX/e+/BmZODiYkJqNXqwEy51zHkxkJ2djbyAmB37w9ERkZi06ZN2LRpk4fDZHt7O5xOp2KNnZycHFSR/sDAALq7u1FZWQndKjwf1yokSUJDQwOcTieqqqrm3ZbwVyBlWGC/AaHRaFDg9XD3J/wZCinedBNgNoN9+226+qXRgFRUQLjjDp87zDJZcblc6OjowOTkJE466aQFiwnmnXfAvPQSkJp6zM3KbAb7n/+AlJeDnCA3BKC6BExOAl7dXJKWBmZ4GKqJCeVLu6IumMVCA7q0WmCuqBU3bQLz7rsAAOGSS0D27z+mvVhlREdHIycnR9lxNhqNmOjrg/Szn2F2agpiVhY0kZFQEwK2sRGq++4D/6tfLfyChED18MNgGxpA8vOBqCg4JydhP3QIBZKEhLvuWvjztdvp/3r/vVoNotOB/8EPPN3AysvB3377isT18vGkffsgnXQSmN5eeryCgmMrG1FRkE4+eWXHWCbkLmNpaSky33kHbGMjJYtzJIIkJlLdzqOPQrjttuN+nq2poQ5ZW7ce+1yjo4HoaHCHD0O85hqPqZvsLjcwMICWlhbEx8crUxd5T5n/6U/BzM6C/eAD+p2KjIT0qU/B9fOfH/e7I0VF4H/5S3DPPUctoHU6SGefDXHOujtQkCQJzc3NmJ6exq5du9ZEiJnq97+H+i9/oRk+kZFgOzqgvu02MDMzEG64wX8HiowEycoC29YGkpgIjmURFRmJKACIiUFcWRkaRkeVnIbW1lZF5xDMldG1iMnJSdTV1SEvLw85IXKPPxHcRfqEEEWkPz4+jvb29qBZY/f396OnpwcVFRVhouIDJElCY2MjHA7HgkTFGysJpAxbF29ABHo0zHGc/9wgtFqId98NqaOD5kwkJIBUVi5rFUY+l5qamiWtwLEffUS1Au43sKQkYHwczNGjSyIriIqiu/NOp6fOwOkE1GowbjvaKxmBMyMjdPVprqNGABCNBtLu3WCNRpADB0IyARygqyKZmZnY1NwMzewsnNnZECUJVqsVhBBER0ZCdfgwBJMJqgUsJJn+frAtLVTjERUFq9UKs8WC5Lw8JA4Pw2UweITfuUMqLATHssdWYAC6ejU7C6m8HOJVV0G88MKA5KwAoJkXZWX+ez0ZokinC11dlPhUV1OL5EXg7r4kdxnZ5maqA3Gfdsw5hHEff4x52xIu17w5I1CpjtOMeLvLORwOGI1GxV0qMjLymED7z38G19pKrZ0zMkB27FiQfJCCAmprHCQIgoCGhga4XC7s2rXL7+u1CggB09VFAykZBtLu3ZSgLwdjY1A98giIRgPMrb6QuDjAaITqL3+B8NnP+mwRvyAYBuI114C9804ww8MgiYmA0wnGbAa/fTva5iZrJSUlmJmZUVaFmpqaoNPplKnbRitYTgSz2Yz6+nr/hrMGGQzDQKvVQqvVYsuWLfNaY7uL9P1FXmXDlcrKSr/qdtc7ZE2Z3W5fMlGZD75YI1sslmVn/61VbHiyAtCbAyGBSQ+RR/eiKPpnzUzOk1jhrvn09DQA6lyyc+fOE5+bwzFvUcowDJglinRJURFIfj6Y1lbqdqNW01W2sTFIF1wAbq74XmnqK4mMpKnFDgfNyJCnNXMFOAmmQJUQsLW1tAM+OwtSUgLxtNPoOs4iYFwugBBoIiOhYVkQ0AJQ5Hm4ZmfxwZEjiMnLUwpXD+2J3U5duyIjMT01hWmLBSmpqYgmBBgbozkhCxxXOu00SC+9BLa2lp4jywJTUyD5+ZAuuID+R1rt6ro4jY5C9X//Rx2nAIhnnw3xuusWXo2bnYXq3nvBvfsuJQ6EgCQnQ7jpJkj79s37I/IDyGKxeLgvkZgYSgi8gw953pPIu79WSQnVlc2t/dCTFoGpKUjnnbfoW42MjMTmzZuxefNmCIKgrIvV19cDmMvzqKigeR4hIs6V3QRVKhWqq6sDt75ECFR/+hO4f/8bzMwM/aO4OIif/zyEG2/0eWrEtrSAsVqpc6A74uKAyUkwnZ0+r9suBvHAAcBmg+rhh+mkUq2G44wz8OFZZyF5zjqfYRjo5lbFCgoKMDs7q7iLdXZ2IioqSiEuOp1uzdni+hNGoxGNjY0oKSlBhh/Dilcb7tbYhBDFGlsmr/LkVSavy2nA9vb2oq+vL2yJ7SPk54TNZkNVVZXfNGWLWSMPDQ2htbUV3d3dfjnWWkGYrAQY8sUmimLIjO+Hh4fR0tIClmWRm5u7pAccqagA3nmHFnvyF3J2FoRhIC01EFCthvTlL4O97z4wnZ30zzgOpKoK0lVXeXQVVoTsbJCiIjB6PUhBAXWTcjjAjoxAPOOMla8sLRWEgPvnP6F67DFKIFgWeOklsK+/Dv6OOxY9D6msjHZ1JyaA5GQwANQcB43NBqmyElX798NoMmFsbAzt7e3QarVITU2lzlIZGSA6HSxdXZiJi0NGejo0Gg21B05OBlksVyMmBvzPfgbVwYNgDx0CBAHSvn0QL7/8hJOIoMBsRsTXvw6mpUWZzqkefhjchx/C+cADVETuBe6ll8AdOgQpK4sWnnM5I6q//hX8tm3HvS+e51FXVwdJkrB7926PB5B49tlQ/etfYIxGEPlYFgvtlC9gAUx27IC4bx8Vuc8VpbBaqWHCxRcv+a2rVCqkpqYiNTVVKVqMRqOS5yHbIh9HXoOI2dlZ1NTUIC4uDtu3bw9o8cy+8w64hx+mK1XyNMVoBPePf0AqLfV9bTAujiaaC4KnYxTP0+m1v7vNc+Gj4iWXgOnvxzQhqBkfR05ODnJzc+ctOqOiouYlr42NjZAkSVknDLbD4GpDTlffvn070haYGq8HeJNXWaQv3wc0Go1CXBISEpbU9Ovp6cHAwACqq6s3XLd+JSCEoKWlBVarNeDmF/LUZXR0FJ/+9Kdx8cUX4+tf/3rAjheKCJOVAEMWSPlLtwIAmJkBU1cHCAJd/Vhi8U0IQUdHBwYHB1FRUYGmpqYlT5SkM88E8/bbYGtrQWJiwEgS4HRC2rMH5FOfWvKpk4ICiL/4BXUVm56mKcM7dgAaDRgsnv+y5GMwDIQrrgBrs4Ht6gIzp4EhkZFgm5vB3n47pJNPhrhv37FVpwCA6eoC99RTdJIj7067XGDr6sA99xzEL31p4feQnQ3xyiuphXB/P+3MW60gCQkQbroJ0TExyJnz8ne5XMoDq7e3FxqNBqnZ2cjq7kaWWg12ehrM3CRNvOCC4xPOvZGUBOGmm4Avf1kJ9gsVcM8/T3NzNm06ZscrCGA6OqB69lnaUff+mTffpDkkcsdwLmeEbW8He/Qo7XDPYXZ2Fnq9HtHR0SgrKzvuYU/Ky8H/139B/T//Q93JAJr1ctllEC+5ZP6TZlkI3/gGyLZtYI8cAWO1Kvkjy3VRcy9a5DwPo9Go7LjLJg0pKSm+h5EuE7L7Unp6Oori48H294Ns3hwwq1jujTfAuFz0GDJSU+la2OHDPpMVqaICpKCAEuHUVHreLhcYiwXiqafOa57gF0RHw5Saivr6ehQWFmKz+/tZBN7k1dthUKfTKTqH9bwuJmeB7Nix47i8qPUOd5G+KIqKSL+1tRUulwtJSUkKeZ2vgdHd3Y3BwUFUVVWFiYoPIISgubkZFovFrxOVxTA+Po4LL7wQe/bswcMPP7yqbnGrgTBZQWDXwAD/hh0yb74J7o9/BDM6StdZkpIgfelLkK68ctG1B57n0dDQALvdjr179yImJsa384qLg/iTn4C8+iqYDz8EYVmQk0+mayy+OpVotSCnnjrvKtJKs1bkPU+Sng7xm98E194OxmQC9+ij4GpqlN8z98orYA8dAn/33f4PE5wDW18PxmKhwmoZGg0QGwvurbcWJSsAINx6K8iWLeCefRaMwQDp9NMhfPazdMrlBo1Gg8zMTGRmZmJmZgZ6vR6GU06BEB2NxJoaxJnNUG/eDPWBA2DOOGPpb2A+nYWv4Hn6v37q8rK1tce/nkoFcByYo0eBecgKrFZPjQlwjIDNzip/ZLFYoNfrkZqaiq1bty5Y4Itf/CKk004D+/bbYFwuiLt20fWgxT4rjQbiBRdQshgAeJs0yOR1YGAAHMcpRWugLFEnJiZosR0Rgdw//IG6ygkCyObNEG65BeKFF/r9mJienl+vx7IKOfcJHAfX738PzVe/CnZwEIRhwACQtm4F/4tfBMyMYHx8HE1NTdi2bduy15fms8U1Go1Kxz0yMlK5BtbTuphsfhHOAoHyPU9OTlZE+kajEaOjo2hra4NWq1X+Pi4uDj09PRgeHkZ1dfWGc5ZaCeSJyvT0NKqrqwOnx3ODyWTCgQMHsGPHDjz00EMbjqgAYbISFPiNrHR3Q/XrXwMzM9TJimWBsTFw//M/INnZIHv3zvtjNpsNtbW1iIqKwp49e5T1AJ/PS6eDdNVVwFVXrfy9LICVfFbuNoAsy4KJjgapqAD7/PPgGhogpaUpAllis4E7cgTSG2/4L8HbGwuRLoZZ+O/cwbIQL7lk4Y69FyYnJ1FfX4/MzEwUFhYCp5+O6clJjA4NwWCxwO5wIHGuGE9JSVneTdbhAPf88zTUk+chnnIKPT+vQoEZGqKWvh9/TO2j9+6FcOmlCwr7l4zYWDrt8YYkLagDkioqwD3/PF1/k4s0iwXQaCDNBanKCdOyg9CJJhEkLw9iiFqieoeRyt3WtrY28DyvdFtTUlJ86ggy3d3gnniCitm1WojnnQfxssswbrHQYjsnB1u++U2qSYuLA6KiwHR1Qf3DH4JER0M680y/vk+pvBzcW295rm0JAiBJS19N9QIpLYXzpZfAvf46tejOyYF49tkBa2jIwXv+ngq4a51EUYTZbPZYF1tLKeoLwV0QHnau8oS7SD83N1dpYJhMJuj1eqUhWFBQEJRie72AEILW1lZMTk4GjahMTEzg4osvRmFhIR555JENa2G+Md91kOGvYEj2zTcBs9kzAyMrC+joAPvKKxDnISsmkwn19fXIyspCcXGxRxHmz4mPv7DcyYq7c4Z3Ij37/vt0ouK+ChETAyJJYN97L2BkRSorowGOZjPNKgHopGF6GpIPWoWlYHR0FC0tLSgqKvJYI9ElJkKXmIgC4LhOW2xsrEJcliTMdLmg/tGPwL35Jv13hgH74Yfg3ngDrvvuO0ZYDAaofvUrsJ2dNI+FEJqf0tYG/mc/W9Huv3j22eBefJFqeeSwsqkpQKWiReV8P3PJJWD1erCtrSAJCXS1Z3YW4llngezYgeHhYbS1ta2osx2qcLdELS4uhtVqhdFoVESacoL2ia4BpqsL6m9/G+zQECUi4+NQ/+EPsL7/PpovvRQ7ysuR/t57YNrbKSmca4iQ6GhqS/7ww3D5mayIF14I7sUX6XU2R1QZiwVScfHKJlhaLcRPf9pPZ7kw5GI70MF7HMcdty5mMpmUFHV/CLSDCUIIenp6lPWlsCD8xJAbGOnp6ejo6MDo6ChSU1MxMjKCzs5Oj5XB6OjokL8GVgOEELS1tWFiYgLV1dVB0QVOTU3hkksuQVZWFh577LE121jwB8JkJQjwFylgzGbaGfa+kcwF9bmDEIL+/n50dnaipKRkXhvHUCQryzknd2s/b6ICYP5O/FL+boUgW7dCvPhicAcPUsLCcdQ1qrQUgp/IivzgHhgYwM6dO5G8gJ0xQJ3fYmJisGXLFrhcLmVNpKenBxEREUhJSUFqairi4+PnXRNhjxwBd+gQdUuSiZ/LBba+Hqqnn1b0ItyRI2A7O6kL1ty4mqSkgG1tBffeeysqJKUzzoDwuc9B9e9/AwMD9A+joiBccw2kBcgKycsD/7Of0YlQbS0QEwNh3z4I+/eju7dX0XCt9zUShmEQGxuL2NhY5OXlwel0znsNzLcqxD3+ONihITqJYlmAENgNBqjeeQcnXXopYlJSwMjuNO4regwDEh0NtrXV/28oNRX8vfeCe/hhcG+/DQAQLrgA4nXXHWsOhCDcLbGDXWy7r4vJ1tjuAm35GpAF2qG2LuYdMhpeX1o6ZM3q+Pg4du/ereQeuTvMrYVrYDVACEF7eztMJlPQiIrFYsFll12GpKQkHDx4cMNPwMJkBcHJWvGHwJ7k5NDiWhSP7WoToljiypAkCS0tLTAYDKiurl6waxeKZOWEkxWTiToxxcaCZGUpExX5Z+f7XUp794J7/XUQu/1YvovdDoZhIC2wOucXMAyEG2+EtG0b2PfeowL5sjI6AfBDYSz/nicnJ7Fr1y6fHtwajQZZWVnIysryWBNxt8RNTU1FUlKSsh/LfvIJXbNxn1BpNIBKRYNK58gK09pKTQXc92rVahCWpTknKwHDQPjOdyCedx64998HAIh79iyaMQJQwiL8138p/76Szy5k4HKBfestsD09IMnJ1DDCh3WYiIgID3HufM5SyqrQRx+BxMcrRGVmZgYujkOSSoXIwUGIoIT0uPsTAMbhUDKP/A2yeTOE228/dn8N8RUJeY3EbDZ7WGKvFrwF2vI10NTUpKyLyTqH1e7qyp1tk8m0ZkJGQwVysW00GlFdXe3x2bk7zLlfA83NzRAEweMa2IgFs0zy5M8uyleN7jJgtVpx+eWXIzo6Gs8888yquTuGEkL7zr5O4C9SIJ1zDthnnqF+/6mpVEhqMICkpUGaczSSMw5EUcTevXsX/WL5w3nL31jws3K5wB48CObdd6mLWHQ0xLIyGtR2AsGoeO65YA8dAvfuu4qonwEgfupTEM89NyDvQwHLQvrUpyD54Jh2HKxWGvyn0wFztsMulwv19fWKve5KHiLeayLT09MwGAzo7Oz0sMTdjAVuGIR4EhOdDgzPH2egwIgiiD8cZxgGpKwMwjLDIwVBQH19PXiex65du9bGg2B0FKq5yRCJiYFUWUk1QU1N9PMnBKrMTPC///2yMnA4jlOmKu7OUnKWw8kuF2KsVjCCAJvVClGSkKDTgZ2chDj3+YnnnQf1n/4EZnSU3p9UKrqixzAQrrzSzx+IF0KcpADHMhmsVmtIXnfe18DMzIxi0tDS0oL4+HgPd7FgrgrJzYWpqamgFYzrBe4k70Sfnfc1YLVaYTKZMDw8jNbWVsVlUBbpr/d1MXmSNz4+HrTrzm6348orrwTDMHjuuedWvaERKgj9O/w6gN8mGCkpEH/1K7B/+hPYujpAkkCqqiDedBNIYSEsFgtqa2uh0+nmtV2d77xWnGniZyw0WWFffBHss8+CpKRAys8HmZkB+9ZbUIsixFtuWfxFo6LA//rXkF55hU44AEinnALx/PN9dzILJiQJ3P/9H81pmZykf7RjByxf+QpqHQ5otVps377dr84g7pa4RUVFsNlsMBgMGBkZgTE6GuWSBMZggEqeuMzOApIE8ayzjp32ySeDO3yYFq3p6TRlfGQEJC4O0u7dfjvX5cDhcECv1yMiIiKwgYV+BDM0BPX3vkenUlFRYHge3JNPgnG5IBUU0GtYEMAMD0P94x/D+Z//rEgQ7u0sNTs7C1dDA6S//x3WkRFIkZGIiowEhodBdLpjFsFpaXD9939D/eMfgxkephOW2FgI118P8bOf9c+HsUYhiqJCkAOdyeAPMAyDuLg4xMXFHbcuJq8MysQl0KtC3iRvI3b3lwt5kifrLHwptt3XRnNzcxWLfJPJhIGBAbAsq0xckpKS1sS91BfI65pjY2PHTaMCBYfDgauvvhpOpxOvvPLK2pz4BwgMCaRn7xqBKIr+zUHxQlNTEyIiIqhDkz9ACGAw0GIgIwNgGIyPjytuRnl5eUvqeLS2toJhGGx1t9ZdZdTW1iIpKQk5ci4JANjt4G6/na67ZWUdS6S3WMBMTUG47bbAZSCsIrh//xvq3/+ert7Y7dSqdXYWs/HxmLj+eiR+5ztggki2nHY7pDvuQNSLL4I4nTRDSK2mxg5//CMYeWpCCLgnngD3zDNgJifpJCQxkQbgXXRRwCxgTwTZ1jkpKQklJSVrZhdbde+94B59FKSwkE6wnE5whw9T16uiImriAFDjAIMBrj/9CZIvFtVLgMNshvUb30BiczPUc6uXjqgo9F96KcRPf9rTFnl2FuyHH4Kx2yHt2OGZg7IBwfM89Ho9WJZFeXn5mi/q3FeFTCaTsiokd9z9ScREUURDQwOcTicqKytDnuSFEmSLXdm5yp+TPEmSMDU1pZAXu92OhIQED5H+WgYhBN3d3Yq1czCmG06nE9deey0MBgNef/31gJpurEWs7bvmGoG/NCsKGEaxgCWEoLurC729vdixY4dP6b0cx4GXczCWCkkC09wMjI8Dyckg27f7dQVj3smKxUL1HvHxx4gKwwDx8bSDOzXlt+OHDFwucI8/rhSnsFggajQQGAaRdjsyX38dQm4uxGuvDdopRURHA7/5DdgLLwTz9tuYnZmBITcXPQUFkGpqlPWBpKQk4KqrIJ18Mr1WGAbSjh2UWK8S5ByQ7OzsJZP5ReF0gv3oI+o+VVJyLEE9AGDffZfaMssTNEGgBFaSwNhsIDJZUakAUQRjtfr1+FarFbXNzUj5wQ+QMj0NprUVXFQUIk4+GSkJCTAajWhvb4fT6VRWBlNOPjncAQctQGTb+KVMu9cC5lsXM5lMGBwcREtLi+Iwl5ycDK1Wu+zvmryuKYoiqqqqFMv9ME4MObRQzgLx98ohy7JITExEYmIiioqKYLfbFeLS2dmJqKioNZ3r455BEwyi4nK5cN1112FkZARvvvlmmKjMgzBZCQI4joPL5fL76wqCgKamJkxNTWHPnj0+J9ByHAeHw7H0H5iYAPeHP4CpqwPjdIKo1SClpRC/9S1FS7FSzKejIfHxIHFxIFNTIHIaN8MAk5NUAxHCzj/LxuQkGJMJRKMBYzRCUKshANBER4O1WiFxHNjDh2nGSTBHxRxH8zLOPBMaAJsAZEqSonPp6OiA0+lUOq0pZ5216t1Q2da5pKQEmctMjIfdDu6558AdOQKMjYHt66MkkhBqdXvhheBvuw0IRIGu0Xjm8kRFgURFgZnTgyiYnga0WkilpX479NTUFPR6vULyCMNAOPVUAFT3lQgoBYtsjS0nisfGxipF7UqK1rUKu92urOVu27ZtzRVsS4H7upjsMOe+LqbRaBTikpiYuOTPwH0aVVlZueanUcGEJElobm7GzMxM0LJAoqOjkZ2djezsbAiCgImJCZhMJsWsQ25ihIJRw4kg22IHi6gIgoAbb7wRPT09OHz4MG32hXEcwncABMcNzN9Cdmd7OzrfegtMUhJOvugiaJZxQ/L1vLgHHwTz/vtAbi7t5trtYGprwf35zxB/+lO/rPd462gIIRDVapDTT4fq0Uep0DwpCYzVCmZ8HOK+fSDz2DKvecTH0wDE4WGILheEiAhERESAEUWAZUESE8HYbNRsYJX3WlmWRUJCAhISEjyKVlmUKec4yMLcYIEQgr6+PvT19aG8vHz5DwGXC+qf/5w6nnEc2M5OupIYGwtSUADMzoJ78kmQrCwIN93k3zcBQDrrLKj++lcQh4NqUebW6piZGcBqBdRqMLJ26JprQHJz/XJcg8GApqYmFBUVzWt97g7vEDp3a+ze3l6laA2GxiEUMDMzg9raWqSnp6OoqGjDELWIiAgPl0E5kLS1tdUjkHQxZymXy4Xa2lpERERgx44d62IaFSy463uqqqpWZbqpUqk8DFtkowb3yZt8DcTKzccQQW9vLwYGBoJmiy0IAm6++WY0Nzfj8OHDfg2GXW8Ik5UgwF+hkACAmRm4fvlLCK+9hq2CgMjERJCaGojf+96xkLwlwic3sPFxMB9/TFd55C9xdDSweTOYhgagpwfwwyqM+zm5J9Lj3HMhEUKT08fGgKgoiBde6Ft4myCA1euBiQmQ7GyQrVtXTT9xQkRGwnngAJh77gEniogAwPA8GLudWsSqVCA6HUiIZYN4F63uWR7d3d2IiopSitb4+PiAPagkSfJwwPF16ugO9oMPwL73HkhWFp1mzLmaMU4nvZYyMwGHA9xTT0G44QZPZzQ/QLjiCjB1dWBraujqFyEgOh2Es88GMzQEtqsLJDsbwpVXQvzc5/xyTDlZffv27UhNTfX5572tsd3tUEVR9NA4rLf1HnkalZOTg9zc3JAqxoIJjuOUolR2lnJvYshFq/vkzel0oqamBjExMSgrK/MPqXU4qO06z0OqrqYrlesQkiShsbERdrs9ZEwcvI0anE6nYpPf19cHlUqlXCOJiYmrOkHr6+tDf38/qqqqgkJURFHErbfeiqNHj+LIkSNI99N2ynpFmKwEAf6crFh/+Uuon3kGmsxMRKalAVYr2NdeA1gW4s9/7lPx7dN5Wa2Aw3F8jkNUFCUyVutxVrXLgayjmS+RXrzwQohnnAHGbKbrXz6QM6a/H+qf/QxMWxsYl4vav55yCl3d8Yedrp9hs9lQV1KC4osuwqaXX6aBoBoNSHIypLw8YHYW0lVXhbabGTyzPARBUB5U8oqHnOeiiLOXCrudakZmZiBt20YnHHMQBAGNjY1wOBzYvXv3ive12dbWY/ky4+PHrJo5juqpMjNprozFQr8j/p4e6XTgf/c7mqnS0gJER0M8+eRj2TI8T/UqfiiKCSHo7e1Ff3+/35LVF7LElRPUdTqd8vdrXZhrNptRX1+PwsJCbN7gxgLumC+QVNY49PX1Qa1WQ6fTYWJiAomJiSgtLfULUWFffx2a224DM/e9JTod+O9+lwaHriPIRGV2dhZVVVUhQVTmQ0REBDIzM5GZmamI9I1GIzo7OzE7O4vExESFvATzXtDf34/e3l5UVVWtqLG1VEiShG9961t45513cPjwYWRlZQX8mGsdYbKCtREKKUkSuj/4AOlvvIGIrCyo5N17nQ6EELAffACxvx/wwRXLJ+vi9HQgKQkwmYDs7GN/bjLRc/DTKpaso/EmKgpiYkB8LQZFEeq77gJbXw9p0yaQqCjAYgH36qsgKSkQvv1tv5y7vyCLwTdt2oSke++F82tfA/fgg2Db2mi4ok4H6bzzIM5l66wVqFQqpKWlIS0tzeNBJYuzk5KSkJqaOu9eM9PeDu7ll8F2dtLrvbERzPQ0dcTTaiHu3w/+ttvgJAR6vR4qlQrV1dV+6doTjUbJMiFaLRW3C4JHvgxjsUAqKzsWOupvREdD2r8f0v79x/+dnyYTch6DHH4WiIe2d6fVPT27s7MT0dHRQZm8BQLj4+NoamrCtm3bkLGKZhJrAe7rYpIkYXR0FO3t7QDo+qEoisrkbbmrTExXFzS33kobaXFx9Hs7PQ31z34Gkp1NtXfrAJIkob6+Hk6nc00ZEbiL9IuLi2Gz2ZR7QUdHB6KjoxXiEkiR/sDAAHp6elBVVYW4IEzdJEnC97//fbz22ms4cuSIp/NpGAsiTFaCgJVOVnieR319PdieHhRrNGC9u51aLTAxQQXZPpKVJZ9XTAykAwfAPvAAXfnS6WgneXYW0uc+R4nMCiG7fFksFphMJiQmJvqlWGHr68G0tkLatOlYMRkfD+JwgHv1VQg33hgyqwEjIyNobW3F1q1blW4LKSqC8KtfUdH99DRIcnJwRfUBgLebjLwiIu81yzqX1NRUaNvaoL77bmrXHREBrqkJEASQLVuoLe7UFLiDB+FIT8fHpaXQ6XR+68wCoNkwjz0GZnwcJCUFJCEBjNFI/zIyEszQEBARAeGLXwzdtcITQBRFjyyLYIXuuadnu0/e6urqAEAhLqu9InIiyGtzO3bsCO+d+wi73Y6uri5kZWWhsLBQKVrldTHZqMFXjQP35JNgZmbo/VL+mYQEMCYTVI88Atc6ICuytbPL5VpTRGU+xMTEICYmBjk5Ocq9wF2kL6+OJiUl+W1yNDg4iO7ublRWVgaNqNx+++149tlnceTIEeTl5QX8mOsFoXv3X0dYiWbFarWitraW7vCeey7Yf/+buv64FxPT0yAxMXR33gf4SqKkSy6hoXQvvECJUVoayP79kC680KfjzgdZn5KSkgK73Y7W1laIoqisCa0odMpspu5lXgUYiY6mQv3padp5W0XIvu6Dg4MLi8ETEkDWoaWh94qIw+FQdC5dHR2ofOABJAwNgSkpgWZ8nP5QRARgNAIpKUBCAkSrFc5//hMZDz2E/IICv3bkSWkphM9/HqpHHgHT1UWvFZ6nDl0aDRXW33ADpPPP99sxgwm5GSJJEnbt2rVqKyTek7fp6Wll4uJwOJQVkZSUlJBKf+/r60Nvb6/f1uY2EuQg482bNyuW4vMFEXprHDxyfRYAOzhIp5/u9wKGAVGpwPT2BuHdBRZy0KggCKisrFzTRMUb7vcCQojSwJRXR/1hjz04OIiuri5UVFQgPj4+AO/CE4QQ/PznP8djjz2GI0eO+C93b4MgTFaCgOVOVoxGI+rr67F582bFUUa66CJwDz1E9SFxccDMDJjJSUif+QwQYLIClqUF2TnnADMzdDffH2s2bvqUyMhIlJSUYOvWrbBYLIowu6mp6ViGQ0qKT6sBRHYvm5ry0LkwU1MgGRlUsL6KEEVR8cTftWtX6KfWEgKmvZ1qh3Jy/O7GFhkZqXTbxYEBcBMTcCQmwj4xgWijEfGSBBIVBc7hALHZ4IqKglOSoOV5FGRn+3+6wTAQP/c5SNXVYD/+GAzPQ9q+HVJ+PhiHAyQjw69ZQ8GEw+GAXq9HZGQkKioqQsZ5aSGHubGxMbS3t0Or1Sr3gtVyFJITroeHh4O2QrKeIBsR5ObmYssCGwEajcZD4yC7i7W1tcHlcnlY4noTWCkvDxzD0KaCPGUlBIwgQCouDvC7CyxEUURdXR1EUVz31s4MwyA+Ph7x8fGKSF8msL29vVCpVB722Eu5hw0NDaGzsxOVlZXQeetwAwBCCH7961/jH//4Bw4dOhRSQdxrBev3CvcBoWZdTAhBf38/Ojs7UVpa6pENId1wA8AwYF94AYzRSIXi114LcRmWqcteT+O444X2y8H0NIjVCjEhAZJK5aFPcb9BFRQUHJfh4L4mdCIhHsnPh3TGGeBeeAHE6aQTlelpMKII4corqR3sKsHlcikrLyeddFJICSOZ4WEwg4PUdayoiD7wx8aojW9NDZ1WxcRAPP98CN/5TkDE/lxEBCKioqDRaBCbkEC1X4ODEB0OEFGE3WaDSxSh43kwlZVwBerzYxiQkhKIJSUef+wPU4nVgs1mQ21tLRITE1FSUhLSdsLyisiWLVs8uu39/f1Qq9Ue3fZgvA9CCFpbW2E2m7Fr166gWnKvB0xMTKCurg4FBQXIdtdALgKWZZGUlISkpCRF42A0GjE6Ooq2trbjCKx45ZVQPfww3QKIiwMYhq6FRUbSlc01ClEUodfrQQhZ90RlPnjrnWQC6x5MK2td5ltnHR4eRkdHByoqKoJGVO655x7cf//9ePPNN1FWVhbwY65HMISQtfy89RtcLhcC9VHMzs7irbfewnnnnXdCYiQHOplMpsW/TFNTYAwGuo+7TPtau92Ot99+e0nn5VdYLGAPHgTzwQcgDgek5GRIF1wAcsYZS+qKy3a4BoMBExMTiImJUYjLgl1Wux2qv/8d3MsvA3Y7SHIyxKuugnj55aumM7DZbNDr9YiLi0NpaWnIdLXhcED1179Sm2iLBYiMhFRWBv6//gvqO+8E9/77IGlplJxMT4OZmoJw/fUQvvlN/58LIVD/5CdgjxwBKSwEWBbs+++DGRuDoFbDlpEBtc0GUaNB3623Qn3BBUhNTQ2a5mKtYnp6Gnq9HllZWSjw89pcMOFerBiNRiXLI5ABdO5ZFpWVlSG1krYWYDKZ0NDQgOLiYr+5IMkEVv5HXhfLGhhAyu9+B667mxpkZGSAv+02iBdf7JfjBhuCIECv14NhmJCahIYCCCGw2+0wGo0wmUyYmppCTEyM0siIj49XiG15eTkSg2D7TwjBfffdh9/85jd47bXXsGvXroAfc70iTFbmEEiy4nK5cOjQIZx99tmLdkGcTif0ej0kSQrKQ9DpdOLw4cM499xzg9dVlSSw99wD9t13IaWk0CmHyQSGEAg33wzpU5/y6eUEQYDJZILBYIDJZIJarVaIy7wOIlYrGIuFkrxVnGLIjl+bN29Gfn5+SBWL3IMPQvXww3Q9LiGBhn8ODkLKzaXWufHxngL/8XEgKgrOZ54JiFEB09sL9Z13gunpoQUHz4OfmIDIsoiMiwNycjD7+c9jpKICBoMBk5OTCoFNSUlBXFxcSH2+qw25WPSlq70WIGd5yPeCmZkZvweSyjoBnudRUVERUpPQtQCDwYDGxkaUlpYGLFdCJrDy9M1pt2PTzAwSY2MRu2cPvWesQchEhWVZlJeXh4nKCcDzvCLSN5lMSmbbli1bkJOTE3CNDyEEf/nLX3DXXXfh5Zdfxt69ewN6vPWOMFmZQyDJiiRJeO2113DmmWcuqLWQhYYJCQnYvn17UG5EgiDgjTfewL59+4InzmtrA3fXXZBSUpR8E4ZhwHR2QsrPh/Cznx3bL/YRkiRhYmICBoMBRqNREezLAv1QubkPDw+jra3Nw/ErZGC3Q3PDDTR80l0DZbWC6eigZgTeYZo2Gw0rffRRv6WnH4eJCXBvvQVpYAB9FgumKyqwdc8eRPA8SGqqRxCj/JAyGAwwm80eOR/BWhMKVchuc4EsFkMFDodDKVgnJiYQGRnpYYu86HUwOUmbGhkZSlOD53mPYnGjrd+sFKOjo2hpaUFZWdmygkaXA0KIhyXu9PS0si6WnJy8ZhoZ8rWnUqmwc+fOkHmWrRXI115qaipsNhusVivi4+OVqUtMTIx/TVkIwYMPPojbbrsNL7zwAk477TS/vfZGRfhuOweGYQJGVpRQwwX0IWNjY2hsbEReXp7iiBIMyDc8URSDQlYIISCjo2AdDsBrXYskJoI1GGjhu8x8BzlkUE5MdncTamxsVNZDUlJSVqUjKgtyh4aGUFFRsbQxtMsF9s03wb33HiCKkE46CeK55wYuz2N6GrDZaOimO+SutFpNzRXcupOMxUJ1LYEsQBITMXPeeaitrUVsbKxC6Of7xqrVaqSnpyM9Pd1jTai1tRU8zysPqPWYnr4QZB1cb2/vwm5z6wyRkZFKIKkoiootcn19PQAo14GH0+DEBNS/+x24V18FXC6QtDQIN9wA+2WXoVavR1RUFMrKysLFoo+QrZ2Dfe0xDAOtVgutVqvoneTrYGBgACzLKveCUGpouYPnedTW1kKtVoeJyjIwPj6OlpYW7Ny5E8nJyQA8Gxk9PT3QaDTKdZCQkLCiz5gQgkceeQQ/+tGP8Nxzz4WJip8QJitBwnxidrl47evrw86dO33vNs3OUmvGZRauDMOAZdkVZcAsFbLjF2JjwahUNOnbTVfAzMzQYtdPWgOGYaDT6aDT6VBYWKjkeAwNDaG1tRXx8fFITU0Nmr5BdvyyWCzYvXv30lZSXC6qEXntNZC58E7utdfAHjoE/te/DgxhSUwEEhOpHsp9XWJ6GkhOhpSWBvaTT0B4nh5/ehpwOCB+5jP+T253g6yxyMjIUJzxlgJvUa6cnt7X14fm5mYkJCQoBHa96lwIIejo6MDY2NiGda3iOE75vrs3Mrq7u9HY2EhdpZKSsOW228B9+CF1D4yKAjM0BNVdd2Gwpwexl16Kbdu2bejJ3HLQ39+Pnp6ekLB21mg0yMjIQEZGhkcwbUdHB5xOp8f9IBS0SDzPo6amBhEREdi5c2f42vMRclDrjh07FKICHN/IkNcGW1tbT+gytxgIIXjiiSfwne98BwcPHsSZ6yDLJ1QQXgObA8/zS09zXwYOHz6M8vJy5WYtCAIaGxthsVhQWVnpW1r00BC4f/4TzHvv0R3+6mqIX/gCkJ/v83m9+eab2LVrV0ALGHdrYlYUof7lL8E2NdEAy6gowGQCYzZD+NKX5k/o9jPcczxkgb5cyCzXs30xuGw29Dz2GGL6+7E5NxdMVRVIWdkJhf3s669Dc9ttkJKTj02bZmfBjoyA/9GPqDlAAMA98wxU999PM0QSEwGbDYzZDPGccyB8/etQ33sv2MOHAacTiI+HeNllEL785YDZ9xoMBjQ1NfldYzE7O6tcB7LOJTU1dVXtcP0N2bBjenoalZWVJ3TO24iQRbnOQ4dQdNddEGNiwGq1ytRNHBiAkJsL9s03wYS72j6hp6cHAwMDQcuyWAlkdzF3cfZq6t5cLhdqa2sRGRmJHTt2hImKj5D1Ub4Etcprg/J1IK8Nyhsb8fHxi14HTz/9NG6++WY8/vjjuOiii/z1VsJAmKwoEAQhoBOGd955ByUlJUhOTsbs7Kwy1i0vL/dtJWliAqpvfQtMaystJFlWSa4X7rkH8DHz4siRI9i5c2dAOl6EECXsUZIkZR2OGRkB9+CDYNvaaMGbkADxjDNo8R3ktRye55VxsCzQlwvWeQX6PsJqMmH6Jz9BanMzYjQaMACg1UL49KcpwVzkxqf6xS+gOngQUkGBx58zPT2QTjkF/P/7fys6twUhSeCefhrcc8+BmZgAiYqCdNpp1O5TJk1jYzRnZdMmKrgPEAYHBxUL77S0tIAdZ77rQC5UEhIS1mShIAiCIgavrKwMi8FPAO6f/4T6zjvhSk0FLwgQBAGEEGicTkSwLByHDoELktZirUPeGhgZGfG9GRcCkO8H8j/yirGsewu0XsnlcqGmpgbR0dEoKytbk/ef1YTRaERDQ8OK9VHu14HZbAYAZUKTlpbmQYJeeOEFfOlLX8IjjzyCT3/60yt7A2Ech/AaWJAgr4FNTk5Cr9cjLS1tWdkG7JtvgmlvBykoUAp7kpgIprMT7CuvQLrxRt9ej2UDMlFyJynyceSOBMnMhPDDH1J3J6sVJCsLWKUiQK1WK2sBoihiYmICRqMRjY2NIIQoBety9pnNZjPG/v53lDQ3IyI/HyQuDgQAYzRC9fTTkCoqQHbsWPgFCKH/eCPQHT6WhXj55RAvvPDYOpg3mU1PBwmgQNs9cC8YwV3u14Fs1GA0GtHc3AxRFD3scNeCzkXuyqrValRXV4fF4EsASUkBWBZqhgGj0UDgeURoNFBZrbBHR+Od2lokpqcr14EvwbQbCYQQtLe3w2AwoLq6ek1m0HjfD6ampmAymdDZ2YnZ2VmPNSF/r486nU7U1NRAq9Vi+/btYaLiI2S3w+3bt6/YyMH7OpienobJZMIf//hHPPzwwygrK8PZZ5+NtLQ03HHHHXjooYfCRCVACD/BggSO42AwGDA2Nobi4uJlr7MwnZ20WHUvmDgOiIgA09y8rPPy90RJXvuSh3bz3mw5juZmrAZ4njqOeZEPd9coea/dYDAo+8xyZy0lJeWEBavs+HXK2BgitVoP/QdJSQFjMIDV6yEuQlak3buBZ58FrNZjVsGzs2AkyWeL52UhKgokJyfwx/GCnGNhsVhWJXDP3ahh69atsFgs8+pcUlNTQ2Kv3Rt2ux21tbWIj49HaWlp8Isdux3sBx+AsdkglZaCLGM9dTUgnX46SE4OSFcXHDExiIqNhdrpBEMImOuuw+5PfQpGoxHDw8NobW1FXFychy3yelgbXCnksMyJiQns2rVrXejAWJZFYmIiEhMTUVRUpLiLjY+Po729XVkXW8qa0IkgE5XY2NjV+e6ucchEJRCTeJZlkZCQgISEBNx333249dZb8cwzz+DJJ59Ea2srUlNT8e6770Kn0+H0008PNzP8jDBZCQIkScLs7KyiT1mJGwqJjwckiXbc3W+KPL+scEh/kxUPfYrbNCUUwLS3Q/Wvf4E9ehRErYZ0zjkQrrlm3s/NW6Bvs9lgMBgwMDCAlpYW6HQ6ZV3M/YHs7fgV++qrx5GiuQMAJ/jcpTPOgLhvH7g33gAZH6cJzADEvXshBkHbsxrgeR51dXWQJAm7d+9e9dUlhmEQHx+P+Ph4FBQUKPoGmcTKNqiB0jv5CovFAr1ej/T0dJ+MCPwF9qOPoL79djBDQ/Q+FRMD8ZJLwN92W9BXPH1GVBQGf/hDaH/8Y+jMZrCzs0B0NMRLL4Xw1a9CGxUFrVaL3NxcJZjWZDKhp6cHERERCnHxx/roWoSsj7JYLKiurg5JIu8PxMTEICYmBjk5OYpNutFoVMIa3d3FfJloOhwO1NTUKE2G1b6XrDWYzWY0NDSgpKQkKLbsRUVF2Lt3L+655x786U9/QlZWFl588UXccMMNmJycxDnnnIOLLroIF1xwATIyMgJ+PusdYc3KHERRhCAIfn9dl8uF+vp6TE9PY/PmzSguLl7R6zFNTVB9+9sgggBkZtKid3wcjMsF4Re/ADnlFJ9e75NPPkFGRgY2+ah1mQ/uExWGYULqZst0d0P97W+DHRqiWh9BADMzA3HXLvD33OOTC5m3MFur1SpZLr29vbBaraioqEBMTAy4J56A6q9/hVRYeCyE0mqlIvmf/ATSyScvfjCnE9wbb4B9911Akqh18fnnB866eBUxOzsLvV6v7GmHukUnz/PKdWA2m1dd5yI/rHNzc5GTkxP875/ZjIjPfAbM2BjNJ1GpgKkpMFYr+B/+EOJ11wX3fHxEX18ftXYuLUVSWxuYyUlIW7eCnOCe7b4+Kuc7udsir4W1wZVCkiQ0NDRgdnYWlZWVG7KrLK8JySTWbrcv2W1QJio6nQ7btm0LqWfnWsDExATq6upQUlISNGLw3nvv4TOf+Qx++9vf4uabbz625k4IGhsb8cILL+DFF1/ERx99hDfeeANnnHFGUM5rvSJMVuYQCLJitVpRW1sLrVYLjuMQExODAi+x9HLA/uc/YP/2NzBzgi+i00G65hpIn/+8z3qG2tpaJCUlIWeF6z6yPiUUJyoAoPrd76B6/HFKGuQi0uEAMzwM/q67IJ177rJeVy5Yx8fHFSFmZmYm0tPTodPpwExOQv3zn4NtbASJjgZEEYwgQDz9dAjf+17od5uDBHkikJqaiq1bt4bc9XMiLFawJicnB1wzMjY2hubmZpSUlCDTPcwziOCeeALqO+6gGjQ3osmMjIBs2QLn888HXm+1DHjro1bijEgIUdYGjUYjbDbburfHFkXRw8hhI5CzpUCewppMJkxOTiI6OtojlFS+x83OzqKmpgaJiYkoKSlZc/e+1YZMVLZu3Rq0e9/HH3+MSy65BHfffTduueWWRX9nJpMJsbGxG5LA+xNhsjIHf5MVOXwsOzsbhYWFaG1tBcdxK56sKBgfB1tbS4MCd+4ENm9e1svU19cjNjYWeXl5y/p5byF9qE1UZGiuvhrM6CgtpNzAdnRAuO46CLfcsuzXtlqt0Ov1iI+PR1pamuIqBQApKSlI12iQXFMD1dGjQEQEpJNPhrhvH7BO1yR8hbxnnJeXtzoTAT9DLlgNBgOMRiPsdrsiyA1EfsPAwAC6urqOyxIINlR/+hNUf/wjiPe9aGICDMfB8f77869EriJkjYXZbEZlZaXf9VHz2WP7S98QChAEAXq9HgBQUVERNnJYADzPK80Mk8kEAMo10Nvbi5SUlDXZpFltyIZFxcXFyPJ6tgcKtbW1OHDgAG6//XZ8+9vfDv/OgoTwnWUO/rrgCCHo6+tDV1cXSktLFabPcZx/JzdpaX7JJFmJZmVJQvoQAUlIANPf7/WHBASgAXDLhLx6k52djby8PDAMg7S0NGUlwGAwoGVsDHxqKpI+/3mkpqauGUepYEA2Iti2bdu62et117kUFhYqHdaxsTG0t7cjNjZWIS4r0rn09WH6T39Cwkcf4azNm8FdfDHESy9dtWmdJAvpHY5jRJwQMFYrpJNOCjmiIhs5WK1W7Nq1KyAai6ioKGRnZyM7O/s4fYO7HW6opqcvhnCy+tKhVquRlpaGtLQ0xbxlZGQE7e3tIITAbrdjcHAQycnJ4SykJWJqagp6vR5FRUVBIyoNDQ245JJL8P3vfz9MVIKMMFnxI+SUcrPZjN27d3uEYKlUKjidzlU8u/mxXOvi+fJTQhnSeefRSdTkJKDT0SJqeBjQ6SCdeuqyXnNoaAjt7e3zrt64O4cUFRXBarXCYDCgv79fcZSSBfrrVYi6GAgh6O7uxuDgICoqKpC4DHOItYLo6Gjk5OQgJycHLpdLmbz19vYuW5hNOjshfulL0A0PQx0XB9ZkAurqwNbVgb/77lVZt5JOPx3Szp1ga2up+51aDWZyEoiKghBiehX31aXq6uqgGDmo1Wqkp6cjPT193vR09+lbqK+MyDkgUVFR4cBCH8EwDDQaDUwmEzZv3oxNmzYpJLajo0NZF5MnL+HP9nhMT09Dr9ejsLDQL3rbpaClpQUHDhzAN77xDfzwhz8M+ZpnvSG8BjYHSZLA8/yyf97hcHiMw70L0L6+PkxOTqKiomJF5+lvtLe3QxRFbNu2bck/E8qOXwuC56G65x5wL78MxmYDGAYkIQHCLbdAPHDAp5cihKCzsxMjIyPLCtSUV0MMBgOmpqYQGxurEJeNYIEqSRJaWlqU74N2BZOttYz5dC7uuT4LrdSIoojpr30NSa+9BlVBAVh5kmKxgLHb4frb3yBVVQXxnbhhbAzqe+8Fd/gwIAgg2dngv/IVSOefvzrnMw94nlcmG+Xl5au+ujRfarbfpm8BgMPhULSY4RwQ32Gz2VBTU4P09HQUFhZ6/G4FQVCIi/u6mOwuFp7IU6JSW1uL/Pz8ZUdA+Ir29nbs378f119/PX7xi1+E1PdxoyBMVuZACIHL5VrWz8pfnqSkJJSWls47Dh8cHMT4+Diqq6tXeqp+RVdXF2ZnZ1FWVrak/16SJEhWK5jaWrBmM5CcDKmiAlgLwV+EgGluBtvURLUje/ZQ1yIfIIoimpqaMDMzozh+rQRyp91gMMBsNiMyMlIhLuthp90b7qnq5eXlG3KqNB/k1RCZuMg6F/lakDvtLpcLdXo9Km+5BTGEeIapEgKmvx/Cf/0XhJtvXqV3MofJSTB2Ow0ODaH1IKfTidraWkRFRYWs45z79C0UXObcIYvBExISwq5Vy4DNZsPRo0eRmZmJgoKCRT8/93uCyWRSzBrk1cGNuC5msVhQU1Oj6BuDga6uLuzfvx9XX301fvvb34bJ+SohvAa2QoyOjqKpqQkFBQXYsmXLgjcfv2tW/ISlalYIIXT1q78f6vvuA9vZqaSrk8JCCN/4BkiQuhzLBsOAbN8Ocfv2Zf240+lEXV0dWJb1WwaIRqNBZmYmMjMzIYoizGYzDAaD0vmVMzwSExPX/E1Snj5GRESs+VR1prkZ3H/+A7ajAyQ7G+KBAzTEc7mvN0+uj9FoxOjoKNra2hAbG4uEhAQYDAZoY2IQrdOBMZsxX6eJhEL3NSEBxMeJY6Ahh2XK9rCh+n3yvidMTk7CaDSiubkZoigiKSlJWRMKZqddngikpqaiuLg4TFR8hNVqRU1NDbKyspCfn3/Cz8/7njA7O6uQ2M7OTkRFRXm4i4Xq9ewvzMzMoLa2VrFmDwb6+vpw0UUX4bLLLgsTlVVGeLIyB18nK/Iq0MDAAHbu3ImUlJRF//vx8XF0dXXhFB9zUAKNgYEBGI1GVC2yNqII6SUJ6l/+EqqPPoJUVERzQ1wusJ2dEHftgnD77cdsgdcZZMcvuaMY6JuWvNMuO0rxPI/k5GQlz2WtrQPMzMxAr9cjKSkJJSUla/qmz777LtS33QZmYkL5DkCrBf+DH0D89Kf9fjyXy4XBwUH09fWBEILIyEiUvvQS0g4eBDZtAhMRQacqRiPAcXA+8ghIYaHfz2MtQy50Viss0x8ghGBmZkaZvlmtVuh0OqVgDWSnXf78ljIRCON4zMzMoKamBps3b1aMWFYCQRA83MVkq3T5n7X2fDgR5M8vJycHubm5QTnm0NAQzj33XJx//vm4//771/Qzaz1g7bY2/Qxfbh6CIKChoQFWqxV79uxZ0s69SqXya1K8v3CiyYq7kJ4bHgbX2gpp06ZjAYcaDaRNm8C2toIZGADZsiU4Jx5EmEwmNDY2ejh+BRosyyIxMRGJiYkoLi7GzMwMDAYDent70dTUNO+KUKhiYmJCsfEO1ucXMAgCVPfdB2ZyEiQ3lwrZ58waVPffTy2pV5DTMR9sNhsGBgaQm5uL7OxsTExMYJxhwNbUIK6rCyoArEoFNjYWwle+EiYqXpBdg+RCZ61efwzDIC4uDnFxccjPz4fD4VCIS2dn54I5HiuFLGbOzs5e05/fakEutOX7nz+gUqmQmpqK1NRUj2yfvr4+NDc3Q6fTKeti/rbjDjbkiZR8/QUDo6OjuOCCC3DWWWfhf//3f8NEJQQQJis+Ql4liIiIwJ49e5a8CrQSi+B5MTIC9rXXwLS2AklJkM44A2TXLp9dgBY7r+OE9E4nIAiAd3EcEQHwPLUsXWcYHBxER0fHqlrruhcpBQUFihWuvCIUFxenrIuF2oNpZGQEra2tqxpW6E8wfX1ge3tBUlKOfdcYBiQtDczoKNiGBkif+pTfjmcwGNDU1ISioiLF9UYpUp5+Go7//Ad8TQ0soojR0lKoysuRMjS0JkhsMGA2m1FfX4/CwkJsXmYWVagiMjISmzdvxubNmz2E2XV1dQCgrIotZtZwIkxOTqKuri6oGoH1BIvFgtra2oBOBNyt0gsKCjzWxbq7uxEZGakQF18cB0MBMlGRJ1LBwPj4OC688ELs2bMHf/vb30JS17YRESYrbmAYBottxZnNZtTV1SEjIwNbt2716UvvV7LS3Q3V7beD6eujEw5BAPv66xBvvBHSVVf59FILWRfPl0hPNm0CSU0FMzZGu8pzYMbHQVJTjw+DW8Nwd/yqrKz02fErkPC2wpWdxXp6epQ95tTUVMTFxa1aF1TOG+rr60N5eTmSkpL8+vpMXR1UTz4JprERJDUV0oEDEC+6KPBibpZVpikekCT65348/tDQEDo6OrB9+3akugvp58DExCDq2msRde21iAOQYLPBYDBgZGQk5ElsMDA+Po6mpqZ1leGzEFQqlUeOh2yL3NXVhaamJiQkJPgcSioTPXeiHMbSIRvv5ObmYksQNw6ioqI8SKy8LtbY2AhJklZN8+QrZI1UVlZW0IiKyWTCgQMHsHPnTjz00ENhohJCCGtW3OByuRYkKwMDA2hvb8fWrVuX1aGz2+14++23cd555624gOR+9jOwr74KUlR0rDgaHgbUagh/+xvgw4PZbDajubkZp512GoBjQnqZWHkn0rOvvw7V3/8OOJ103cVioce9/vqQsiddCURRRGNjI2w2GyoqKtaM64rcXTUYDDCZTOA4TilWg+kiJEkS2traYDKZUFFRgdjYWL++Pvvhh1D/6EdgJiZAtFowDgfAMBA+/3kI//Vffj3WcSAEmi9+EWxNDV15ZFm6BjYwAJKVBefBg0BU1AoPQdDT04OBgQGUl5cviyg7nU5lRWhiYgKRkZEeeS7rfZVHJnplZWUn1BOud8hmDUajEdPT09Bqtcq1EBsbO++1IBe3JSUl657oBQIyUQmliZT7upjJZILVakV8fLyH5ilU7gu+uKb5CxMTE7jooouQm5uLJ554IqSJ3EZEmKy4YT6yIhdeo6OjKwqvc7lcOHToEM4555yVsfWZGaiuuYb+f/eHsCSB6eyEeMcdkM47b8kvJ+9zn3nmmccl0nsTFQAAIWA/+gjsG2+AGRwE2bQJ0tlnQ9qzZ1WC6PwNp9MJvV4PlUqFnTt3rtkbliRJiouQwWCAKIoeAv1AOXEJgoDGxkY4HI5584ZWDEKg+fKXwRw9CuTlHbvmTCZAkuB65BGQABcHTH09NN/7HpiREXp8SQJJSgJ/552QzjxzRa9NCEFraytMJhMqKyv9kkHj7jInZze457mst+5hb2+vMtELpYloKEC2RZb/UalUyrUgOw6OjY2hubkZ27dvR1pa2mqf8pqD/EwNZg7IciBrnkwmEyYmJpYdUOtv2O12HD16dN4cmkBhamoKBw4cQEZGBg4ePBheoQ1BhNfA3OC9BuZyuVBXVwee57F3794VddjlgkAUxZUVB/INxJtjyjbCy9SsLDnokWEg7dlDyQkh64KgyJiZmUFdXV3QHL8CCZZlkZSUhKSkJBQXFysdte7ubjQ2NiqrAP7UNrgTverq6sAQPZMJTEcHkJTkee0lJoLp7QXb2AgxwGSF7NwJ14MPgnvpJTC9vSAZGRDPP3/FwnY5w8dms2HXrl2IWuGERgbHcYrORZIkTE9Pw2AwKMnp7tdCMJLcAwVCCLq6ujA8PIyqqirE+dnoYD3A3RbZvaHR2toKnucRHR0Nq9WK0tLSMFFZBiYnJ5Vk9VDXSLlrntwDat3XxWR3sWDdF+Qcn7S0tKARFYvFgssuuwzJycl46qmnwkQlRBEmKwtAtmqMi4tDZWXlijvRcuG7Yt1KTAzISSeBfeEFkMREQKWipGFkBCQ5GaS83KeXk8nKshLp1xFRkR2/1rpj0HzwFmDKayGytkFeBUhNTV0aIR8bg+rgQbDvvguo1RD37cPM+eejpqMDOp0OpaWlgSN6ERF09dE7s2hOM0KC9KAhWVkQvvxlv70ez/Ooq6sDIQS7du0K2ESPZVkkJCQgISEBRUVFyrUwPDyM1tZWj7WQtaRzkSdSZrMZu3btWlPnvlrwbmh0dXWhv78fUVFRaG5uxtCcUUOorQiFKiYmJlBXV7cmNT7yynBKSoqHRfbAwABaWloQHx/v4S4WiGthdnYWR48eRUpKStDsxa1WKy6//HJER0fjmWeeCYcUhzDCZGUeGAwGNDQ0ICcnx2/7kgzD+C0YUvz858F0dIDp7KRkRRCA+HiI11/vmWi9BLAsC0IIuru7kZaW5pe1k7WGwcFBdHZ2bpj97JiYGMTExGDLli2KtsFgMKCrqwsxMTEKcZl3n91ggObb3wbb2goSHQ1IEtiGBtiffRaZd92FvNLSwD5k4uIgnXYauGeeAYmLowYTkgRmaAgkPR3SSScF7tgBghyWGRkZiR07dgRtLYthGGi1Wmi1WuTm5nroXLq7u48LnQvVYlWSJDQ1NcFqtWLXrl3hgmMZ6O/vx9DQEKqrq6HT6eBwOI5zlNpIAYS+QjYjKC4uRlZW1mqfzoown0W2fC309PQgIiJCIS7+0kLKE5Xk5OSgBY7a7XZceeWVYFkWzz333JrRpm5UhDUrbuB5Hl1dXeju7sb27dv9XrgePnwYFRUV0Ol0K38xk4nqRjo7QRISQE4/HaSsbMk/7i6kNxgMGB8fh8lkQkREhLIyEsoFij9ACEFHRwdGR0dRXl7un9/LGoYgCDCZTIq2Qa1WK8RF3mFWPfAAVPffD2nLFkCthtPphM1oRLzNBvKrX0Havz/wJzo6Cs33vge2pYVOVAgBSU4G/5OfQDrjjMAf34+w2Wyora1FYmJiSIVlulvhGo1GsCzroW0IFZ2LKIqor68Hz/OoqKhY02tsqwHZzGFwcBCVlZXzrs7Jmif5WgCgFKuB1L+tFchEZevWrevCnn0xuK+LmUwmCILg4S62nO+fw+HA0aNHlXtgMGoOh8OBq666CjabDa+88sqqrYz+6le/wtNPP422tjZERUXh5JNPxm9+8xsUFxevyvmEMsJkxQ319fUYGxtDRUUF4uPj/f76b7/9NkpLS/1u4+or3IMegWNCenchrlygyMQlmG5SwYAgCIo+YC05fgULkiQpDyWDwQBJkpCSkoKS3/wGUZ2dQE4OZu122Gw2xMXFIXJgAMJVV0H4wQ+Cc4I2G7gjR8B0d4PodJD27QNZYx3Nqakp1NXVYdOmTcjPzw/ZxoAkSYoVrtFohNPpVIrVYO6ze4Pneej1erAsi/Ly8g1fNPsK2Z59dHQUVVVVS5qqE0IwPT2tXAt2u93DFtlfOqu1ApPJhIaGhg0zlXeH+7qYyWTCzMyMYpe+1HUxh8OBmpoaJCQkBI2oOJ1OXHvttTAajXj99ddXtUl5/vnn47Of/Sx27doFQRBw2223oampCS0tLeFVVi+EyYobzGYz1Gp1wARW7733HgoLC+fNTAgW3IX0DMMsSEBk8aXBYPAoVmU3qVDprC4HDocDdXV1a8fxixAwra00jFCrhbR794rtcX07/LECJfHHP0Z8UxNmMzNBJAlx8fHQaDRgOzogXHcdhG9+M2jntZYhC1kLCgpC2jHIG4QQWK1WpVidmZlBfHw8UlNTFW1DMOB0OlFbW4uoqCiUlZWt6fvRaoAQotiLV1VVLfv3JgfUmkwmTE5OKmukKSkpq5rzFAwYjUY0NDSgtLQU6enpq306qw55jdRkMsFsNkOj0SjXwnzNTqfTiaNHj0Kn02Hbtm1BuVZcLhe+8IUvYHBwEG+88caqN469YTQakZqairfeekuJkwiDIkxW3CCKol80JQvhww8/RHZ29qqNipfs+DXPz8nF6vj4uNJZTU1NDflgKW/MzMxAr9cjKSkppNZuFsTsLNS//jXYt94CY7eDcBxITg74H//Yp7U/f4F5+mlId9yB2dhYEK0WgiAg2maDhhC47r0Xaj+mt69XjIyMoLW1dV0UObL9qZznEh0dHfBQUrvdjtraWqUbG/Lf4RCDJEloaWnB1NQUqqqq/DYN4Xle0TaYzeaQXR30BwwGAxobG8P2zgtAFEXFac5kMoHneY91MUIIampqEBcXh9JA6xznIAgCrr/+erS3t+PQoUMhmb/U1dWFwsJC5doK4xjCZMUNgSYrn3zyCdLT01fF0nC5RGW+17HZbBgfH4fRaITVakViYqJSoISy7Z/czZYThddC10/1wANQ/fWvkFJTgfh4gOfB9PeDbNkC1z/+AQRxVOxyuVD/ySfIffBBZDY2guV5EEmCS6PByFlnoXnfPsRotcrqoFarXROfcbBACEFfXx/6+vqwc+fOZWc2hSpkzZNcoASiWJVdGtPT04PmGLSe4G5GUFVVFbD79Xyrg+7Faig/J04EmaiUlZWt6pbEWoH7NNZkMmF6ehosyyI6OhqlpaULBpP6E4Ig4Oabb0Z9fT0OHToUkk0iSZJw8cUXY2pqCu++++5qn07IIUxW3BBosqLX65GQkIAtW7YE7BjekIX0skZlJURlPszOziqrYtPT04iLi1OK1VDSgQwMDKCrqwvbtm0LyRvVvOB5aK68EszUlKcew+UCMzAA/pe/hHTWWUE5FbmbHRsbi+0lJVAfPQpWrwdUKognnQSycyd4r2JVrVYr60GrGTIWCpDNHMbGxlBZWYnY2NjVPqWAwj3Dw2g0enRWU1JSljWNlcP21qO9eDAgiiIaGhrgdDpRWVkZNK2R3OCSrwWLxeKztiFUMD4+jqampjBRWSZcLhc++eQTqFQqREREYGJiAmq12sNdzN8TOFEUccstt+CDDz7A4cOHQ9at7atf/SpefvllvPvuu2vO+joYCJMVNwSarDQ0NCAmJgb5+fkBO4Y7FhLSBwruNrgTExOIiYlZ9S47IQTt7e0YGxtbe45fFgsirrgChOMA9y48IWA7O8H/6EcQP/3pgJ/G9PQ09Ho9MjIyltzNdneNMRqNIISs69T0xSB3sy0Wi1/XbtYK5M6qbNxhtVqh0+mUaexSPg/ZcWkthO2FIgRBQH19PURRREVFxaqu7jqdTo91sVBJTj8RxsbG0NLSgrKyspBcIQp18DyPo0ePIjo6GmVlZWBZVlkXk68HnueVTQ1/TOAkScI3v/lNHDp0CEeOHAlZfeAtt9yCZ599Fm+//TZyc3NX+3RCEmGy4gZJksDzfMBev7m5GSqVKii2dPLal/zrDfYDQN5flm1wV8MSWRAENDY2YnZ2FuXl5SE16VkSCIH65pvBNjaCuBNciwXM1BRcf/yjzyGgvsJgMKCpqWlFQnBZ8yRP4OSVEFnztJ7tZuUiURCEsLXuHGSdi8FgWJIoW+5mb9u2bcM5LvkDoeya5t3UkCRJSU0PJT3k6OgoWltbsWPHDiQnJ6/26aw58DyPmpoaxRBjvnpEbmrIxMVisSA2Nla5N/ja8JQkCd///vfx4osv4vDhw8jLy/PnW/ILCCG49dZb8cwzz+DIkSMoLCxc7VMKWYTJihsCTVba2togSRK2bdsWsGMA/tOn+AurYYksO36p1Wrs2LFDeegxQ0PgXn4ZTEsLSFISpH37IO3ZA4ToGgJ7+DDUd90FOJ0gCQlgHA4wFgvEffvA/+pXAT1vOSyztLTUbyJSeSVEJi5yl11eF1tPUwen0wm9Xg+NRoMdO3aEVJEYKuB5Xrk3mM1mjyTtxMREjIyMoKOjI9zNXiZcLhdqa2sRERER1MDR5YAQAovFohAXm82m2CInJyevWrNpZGQEbW1t2LlzZ8i5R60F8DzvcQ0u9Xnvcrk8JnAqlUq5Fk6kgZMkCT/+8Y9x8OBBHD58OGRJwNe+9jU8+uijePbZZz2a2PHx8evqWegPhMmKGwJNVjo7O+FwOFAWQBcn94lKoNe+loNgWCJbLBbU1dUd5/jFdHRA/eMfgxkcBCIjAZ4HIiIg3HADxGuvXfFxAwX20CFwjz4Ktr8fJCoK0nnnQfjCF4AA6R7k/IWRkZGAr845HA6FxE5OTkI7J9BfTictlCBrfGRbzlBdbQkluOtcDAYDXC4XAGDLli3IyckJmS77WoHT6URNTQ1iYmIW7GaHMmZnZxXiMjk5qTjNpaSkBG06Pzw8jPb2dpSXl687Q4xgQCYqGo0GO3fuXPY16K2Bc7lcSEpKQnJyMqKiojxIJCEEd955J/75z3/i8OHD2Lp1q7/ejt+x0DX84IMP4otf/GJwTybEESYrbiCEKA/IQKC3txfT09MoD8DqTqCF9IFAICyRF3P8Ut9+O7g33oBUVATIBGZ0FFCp4HrgAZBQXjGRJGBqiuarBLDj4q6vqKioCGow1XyrgzKR1el0IX89y7BYLIrGp7CwcM2cd6hAJsvDw8NIS0vD9PS0R5d9vU3gAgE5bC8+Pn5dkGV5Aid32lmWVUTZgdLADQ0NoaOjI0xUlglBEFBbW6vkmfnrd+Ru2DA+Po7LL78cqampOOuss3DJJZfg7bffxt/+9jccOnQobP+7jhAmK24INFkZGBiA0WhEVVWVX1832EL6QMAflsiy49e8a0sWCyKuvhqEYQD3nWNJAtPVBf6OOyCdf76f39XaAs/zqKurgyRJq66vkHfZ5akLAOVaCOXMBrPZjIaGBoUsh+EbCCFobW2F2WxGZWWlQpa9u+yyeUdKSkpQrE/XEux2O2pqapTJ8nr7bOazRXYXZUdGRq74GPIKbEVFBRISEvxw1hsLgiB46KQCeb8eGRnBM888ozhpCYKAyy67DF/84hdx1llnrT2tahjzIrxEHURwHOd3t7HVFtL7CwzDQKvVQqvVIj8/X0lGHhsbQ3t7+6KWyJIkoaOjA+Pj46iqqkJ8fPzxB2BZqu/w5uaE0D9fo5+bvzA7Owu9Xq84taw2GXDXLhBCMDU1BYPBgPb2dmUFINRCScfGxtDc3BwWgi8T7hkgu3bt8ig6o6KikJ2djezsbI/wwf7+fqjV6kWTsjcSrFYrampq1nUODcuySExMRGJiIoqKipRnxejoKNra2lYkygZo06u7uxuVlZVryz0yRCCKYtCICgBkZmbia1/7GkRRRG1tLe6++250dnbiG9/4BsbGxrBv3z4cOHAAF154YcjaFodxYoQnK15wOp0Be+2xsTH09PTg5JNP9svryRMVURTXxNrXcrGYJXJkZCSampowOzuLioqKRddDVHffDdXzz0MqLARUKoAQMENDQEwMnH//O7BBBbzy2lJqaiq2bt0a0tfRfDa4CQkJSpfdH13V5aC/vx/d3d1ht6BlYrmuaZIkebhJiaKoENmkpKSQIbLBwMzMDGpqarBp0ybk5+eH9Pc4UPAWZftKZPv7+9HT04PKysr5m15hLAqZqABARUVFUJpehBD85S9/wV133YWXX34Ze/fuVf68tbUVzz//PF544QV88MEHqK6uxnvvvbfqzbgwfEeYrHghkGTFaDSira0Np5566opfK9Qcv4IFb10DIQQREREoKSlBUlLSop8DMzAA9e23g+3spOtgkgTodBBuuQXiRRcF8V2EDkwmExoaGpCXl4ecnJw1dx3J60EGgwFTU1OIjY1ViEswwuYIIejq6sLw8DAqKirCBc4y4C9r3YXcpFabyAYDcmDmli1bwjkNc5AzPOTrQRAERecy30S2r68Pvb29YaKyTIiiqKwRV1ZWBo2oPPjgg7jtttvw4osvLlpbmUwm1NTU4Lzzzgv4eYXhf4TJihdcLhcC9ZFMTk6ivr4eZ5xxxopeR9anbDSi4g6LxaIkqms0GphMpqVZIpvN4N58E0xXF5CQAPG000BKS4P/BkIAQ0NDaG9vXzdrS3JXVbbBjYyMVHQugXAPkiQJLS0tmJyc9NBXhLF0OJ1O1NbWKvkL/ixw5PUgo9GIqakpaLVa5XpYy05z3piYmEBdXd2KspDWOwghmJmZUa4Hq9WK+Ph4ZepiMBjQ39+PyspKxMXFrfbprjmIougROhoMm3ZCCB555BF897vfxXPPPYczzzwz4McMY/UQJiteCCRZsVgs+OSTT7Bv375l/bzs+CWKIoC1KaT3B+SgQvdpQDAskdcLCCHo7u7G4OAgdu7cuS6dbtyzfUwmExiG8RDor1TXID+cnU4nKisrV5y0vBEh2zsnJCR4WIwHAjzPK4XqctaDQhXyZLS4uDi8j+8D5GBS+XoAgIyMDGRlZa0p58FQgCRJqKurgyAIqKysDBpReeKJJ3Drrbfi4MGD4WnJBkCYrHghkGTFZrPh3XffXdYXa70I6VcCQogiflwsqDAQlsjrBe7TgIqKCmi12tU+pYBDdg+SdS48zyvXw3J0DS6XC3V1dWBZFjt37tzQ19NyMTMzg9ra2lURgi+Umi6vB62V8E6DwYDGxkaUlpYiPT19tU9nzYEQgp6eHgwMDCAvLw8zMzMwmUwA4GGLvFauh9WAJEmor6+Hy+VCZWVl0O6FTz/9NG6++WY88cQTuPDCC4NyzDBWF2Gy4gWe5xULYH/D4XDgyJEjOPfcc30iGxtFSL8YJElCe3s7DAYDysvLl7xT7A9L5PUCWcTM8zzKy8vX9Q7/QnBfBzEYDLDZbMr1sBRdw+zsrLJ+uH379g3ZNFgpZH1FTk4OcnNzV/V+JutcZCJrt9t9uh5WC6Ojo2hpaUFZWRlSU1NX+3TWHOTp8vDwMKqqqpSmjXujay1dD6sBSZLQ0NAAh8OBqqqqoBGV559/Htdffz3+9a9/4dJLLw3KMcNYfYTJihcCSVYEQcAbb7yBffv2LfmLvaiQ3mwGd/gwmKYmIDYW0imnQDrpJGrFu44gCIJyUzyR49eJIO+xGwwGTE9PL2qJvJ7gcDig1+sRERGBHTt2hLuFc5jvepCJrLcGRZ4GpKWlobi4eEM2DVYKs9mM+vp6FBYWYvPmzat9OsfB+3pYqQ1uICCHFe7cudMjuTuMpUE2xRgZGUF1dfWiWjObzaa4i7nrnjZ6vo8kSWhsbMTs7GxQicrLL7+ML3zhC3jooYdwxRVXBOWYYYQGwmTFC4EkK4QQvPrqqzjjjDOW1KFZVEg/NgbNnXeCaWujNryiCEREQLjqKojXXbduCMvs7Czq6uoQERGBsrIyv94UF7NEDpXCxB+YmZmBXq9XQuLC04D54XK5PK6HqKgohbjIhHnLli3YsmXLurk2gonx8XE0NTWtGUMHdxtck8mEiIgIpVDV6XSr8j2S12DLy8vDYYXLACHEI5PLF1MMl8sFs9msXA8qlcpD97RRdJFyHpLNZkNVVVXQwoPffPNNXH311fjLX/6Ca665JnwP3mAIkxUvCIKgCNgDgddeew0nn3zyolqBpQjpVX/+M7h//xukqAiQC3iDAXC5wN97L0h+fsDeQ7AwPT2Nuro6pKSkYOvWrQEX4LpbIkdERCjEJRBOUsHCxMQE6uvrkZ2djby8vDX7PoINQRCUwsRgMEAURSQkJCA3N3dNC7JXC/I0oKysDClrMM/IW+dCCAm6rqG3txd9fX1ha91lghCC9vZ2GI1GVFVVrWiSLhu6yNcDz/NISkpSdE/BKuCDjdUiKm+//TauuOIK3HfffbjuuuvCz7ENiDBZ8UKgycqbb76J6urqBR823kL6eR2/CIHm858HMzMD4u4AQwiYtjYI3/gGxE9/OlBvISiYz/ErWHB3kjIajUuzRA5BjIyMoLW1FSUlJcjMzFzt01mTGBwcREdHB3Jzc+FyuRTi4i7QD6/ULQ65yF4v0wBvXcPs7KyHrsHfOjj3taXKykrExsb69fU3AgghaGtrg8lkQnV19YpWied7bavVqlwPMzMzHrbI0dHR66K4JoSgqakJMzMzqK6uDhpRee+99/CZz3wGv/vd73DTTTeti88yDN8RfsoGGSqVakEyJAvpV5yfsoa/zIQQJUV4+/btqyIe5ThOISfulshNTU1rwhKZEIK+vj6lQAzvtfsOd6egqqoq6HQ6AEBxcbESPNjd3Y3GxkaloxqIQnUtw73IrqqqWjf5FQzDQKfTQafTobCwEDabDUajEaOjo2hra/NrMKk8DTAYDCfUV4QxP+Qk84mJCb8TFYBeD7GxsYiNjUVeXh4cDoeyPtjd3R0S64MrBSEEzc3NmJmZCepE5eOPP8bll1+OX/7yl2GissERnqx4QRRFCIIQsNd/9913UVxcfNwqhK+J9Kq//hXcv/7luQY2NgaIIvg//AFkDaYYS5KEtrY2GI1Gnxy/goW1YIksf4YmkwkVFRXhLuwy4P4ZVlZWLrqyKReqBoMBFotF6aiud8OGE0EuEM1m84YKzJR1T3J+h1yopqam+pzf4V5kV1VV+b3I3ggghChW7avxGcpTelnn4m6TvRzb9NWA/BlOTU2huro6aA2Z2tpaHDhwAD/5yU/wrW99K0xUNjjCZMULgSYrH3zwAXJzcz188ZeVSG8wQHPXXWCamwGOowL76GgI11wD8Zpr1tx0hed5NDY2wul0ory8POQfzAtZIssd1dXosAuCgMbGRsU1LWyz6TtEUURjYyPsdjsqKyt9+gy9DRuio6OV6yEuLm7DPGzlvXar1erzZ7ie4F6oGo1GAPBYH1xsKitJEpqbm2GxWFBVVbVhP8OVwL3IDoXP0L3ZZTKZYLPZkJCQoExdQvGZ5z2VCtZn2NDQgAsuuADf//738YMf/GDD3DvDWBhhsuKFQJOVjz/+GJmZmdi0adPKE+mnpsAdOQKmtZVaF+/dC6mycs0RldnZWej1ekRGRq5ZW11vy9Ngd9idTif0ej1UKlU4qHCZ4HkedXV1AIDy8vIVfYaCIHg4ScmrhWs9Mf1EkLN8BEFARUXFuhUa+wpCCKamphTi4nA4FtS5yPkVs7OzqKysDK8WLgPy2pLFYglZwmy325V7xOTkJGJiYpTrIRSaG7LOx2w2B5WotLS0YP/+/bjllltwxx13rPrnEEZoIExWvCBJEnieD9jr19TUIDk5GdnZ2co0BVgGUVknkB2/UlNTUVxcvC6KuGBbIttsNtTW1kKn06G0tHRdfIbBhsPhQG1tLaKjo1FWVuZXLZK77slgMCi6J9k5KBR1T8sBz/PQ6/VgWRbl5eVrsukQLNhsNsXAw2KxKPk+SUlJ6OrqAs/zQU0EX09wn+xVVVWtCbLH87zHuhjLsso9IjExMej3CHfntEDofBZCe3s79u/fjxtuuAF33333hqyJwpgfYbLihUCTlfr6emi1WuTk5ECSJDAMs2GLy/HxcTQ3NyM/Px/Z2dnr8sYUaEvkyclJ1NXVYfPmzcjPz1+Xn2GgYbValRyaQFtkuyemGwwGpcMuT13W6iTC6XSitrYWUVFRfid76x3uzQ2z2QyWZZGVlYX09PQ1bZu+Glgta11/QpIkjymc0+n0sEUONPmSs2hkU4dgEZWuri7s378fV199NX77299u2LoojPkRJiteCDRZaWxshFqtRl5e3socv9YwQsHxazXgb0tkOWSvuLgYmzZtCtBZr29MTU2hrq4OmzZtWhWy591hj4+PV4jLWhHo2+121NbWIiEhIRw6ukzwPI/a2lpwHIdNmzbBZDLBZDIBgNJhD1X3wVCBnKput9vXLFHxhqyNlImL+xTOH25z8x1PDs2srq4O2j2or68P559/Pi699FL84Q9/CN9DwjgOYbLihUCSFblIb29vV4qS1NTUkBTWBQrujl8VFRXrxs7UVyy0GrQU8a072VurIXuhAKPRiMbGRhQWFmLz5s2rfTpwOBxKUeK+PpiSkoLY2NiQbGzMzMygtrYW6enpKCoqCslzDHW4XC7U1NQcN5WSJAnT09MKmXXvsK/lKVwgIOt8HA4HKisr1+1n43Q6FZ2L7DYnu4utVAsnW42Pjo4GlagMDQ3h3HPPxfnnn4/7778/TFTCmBdhsuIFQghcLpffX9NdSC/bWxoMBkxOTiq+/Kmpqeva4pPneTQ0NMDlcoXdqtwgu8TIxGUxS2R5l3h8fDwk7Z3XCoaHh9HW1obt27cjLS1ttU/nOMjrg/IOu1qtVohLqGQ1TE1NQa/XIycnB7m5uWGisgzIWimtVovt27cv+Ht177AbDIbjggfX83PjRBBFUXmubCSdjyiKmJiYUBockiR5rIv58jkQQtDd3Y3h4eGg5vmMjo7ivPPOw+mnn46//vWvqzo5fPvtt/G73/0ONTU1GB0dxTPPPINLL7101c4nDE+EyYoX/E1W3IMegeOF9O7ExWw2B1yMvVqQHb/k7mFYfDs/5DRkuZvqbomcmJiIzs5OxRJ2I03k/AX3wMydO3ciMTFxtU/phJAkycMClxCyZAvcQMFsNqO+vj5kplJrEbOzs6ipqUFCQgK2bdvm071eDh50t8mWictG0rmIooj6+voNb0gga+Hke4TNZoNOp1OuiRNNSbq7uzE0NBRUojI+Po79+/dj165deOihh1Z9xfHll1/Ge++9h6qqKlx22WVhshJiCJMVL/iTrMjTFPkjPlE3VBAEhbiYTCZERkYqxCUUrAyXC9nxKy0tDUVFRSHRFV4rkC2Rx8bGYLFYwHEccnJykJGRsWY0DaEC96lUZWXlmgzMnG8Kl5SUpEzhgrH+Imultm3bhoyMjIAfbz3CZrOhpqZGcUFcyb1dEAQPMrvaTlLBgiiKqKurgyiKqKio2LBEZT7Mzs4qU9kTkdnu7m4MDg6iurp60QBcf8JoNOLCCy/E9u3b8cgjj4Rc85JhmDBZCTGEyco8cDqdK34NXxPpvSGKooeLlEqlUoiLr0nIqwnZ8augoADZ2dmrfTprErKAOSYmBklJScoDaL1O4QIB2SVoZmZm3Uyl5NUgeQo3MzMDnU6nrIsF4j0ODQ2ho6MjrJVaAWSdT2ZmJgoKCvz6vZ3PSUrWNASLzAYDMlGRJAkVFRUhV+yGEtzJrMlkAsMwyjUxMzMTdKIyMTGBCy64AAUFBXj88cdDkmSGyUroIUxW5oHL5cJKPpaVEhVvyGsgclHCMMyKXKSCAXndpre3N1zYrADT09PQ6/XIyMjwEDAH2hJ5PWGjBBXKAn1ZC6fVahXTBn+Q2d7eXvT19aG8vBwJCQl+OuuNBfn7nJ2dHXCdj7xSKhMXWeey1tzmvCEIAurq6kAICRMVHyGbNhiNRoyMjIDneeh0OmRkZCA5OTngOtKpqSkcOHAAmZmZOHjwYMjei8NkJfQQJivzYLlkRRbSyxqVQFgTy52z8fFxGAwGEEI8XKRCgbhIkoTW1laYzWaUl5dvWMevlcJgMKCpqemEUyl/WyKvJzidTuj1emg0GuzYsWPDFDbzkVn5PuHrZFZ2CRoZGdnQDn4rhZyJlJeXh5ycnKAf39ttLjo6WiEua2XNWBAE6PV6MAyDioqKdbviFmjIjcRt27YpK2PT/7+9+45vqzz7Bv5znGE73kNKnL2HY1vDIQkESCDDjmNLZpQX2gAPtKWUFujzsh5GKV2UQltKoKxSoGkpJJY8EmcnTggbW7IdO85y7HhLsmx5aFjjnPcPnnNeOzjBQzo6kq/v59M/kgif26rG/Tv3fV13dzeioqL47WLeXq3v6emBSqVCXFwcCgsLRd1gh8KK+FBYGcJowsp3FdL7Ard/nQsuLpeLn5D462RsruOXy+WCTCYT9QeSmDU1NeHcuXNISUkZUbeqsbREDjZWqxV6vR6xsbFYvnz5uA1tXNcgLswC4F8T31XTwLIsf+NBoVCM665TY8E1JFi8eLEozkRyu92Dus1xdS7cDQ4xfk643W7+LBqZTCbKMQaCxsZG1NXVQalUDrrx4HQ6B7VFnjRpEh9cxnrTq6+vDzfddBMmT56MkpIS0W/DpbAiPhRWhjDSsDLSQnpfYFkWvb29fHBxOByXbX/rK9Txa+xYlsW5c+fQ2toKmUyG2NjYMf2s4bZEDjbcdpvk5GQsWrQoIO4aC4FlWVgsFj64OJ3OQQX6A18TXJ0P132ObjyMjslkQlVVlWgbEnA3OLhVF5fLNeg8FzF8TrhcLuj1ekycOBHp6ekUVEapqakJ58+fh0KhuGLbe4/HM+g14Xa7B7VFHsn2LZvNhptvvhkAUFJSIlhtzFhQWBEfCitDcLlc/ArJd/F2fYo3cIW3XHCxWq38hMRXh4lxJ4FPmzZtzN1txituctjT0wO5XO7Vu9hXaomclJSEKVOmeO1a/sbdxV6wYIFfttsEiqFeE3Fxcfzd9TNnzgR9nY+vtbe3o6amRrTn+VxqqNcE1wLXXwcYu1wu6HQ6fisnBZXR4YKKXC4f0U0w7kYoF1z6+vqGfcaP3W7HbbfdBpvNhv3794t6C2lfXx/Onz8PAJDL5fjzn/+M9evXIz4+npoDiQCFlSEMN6wMXFERYtvXaNlsNhiNRhgMBvT29vITEolE4pVJant7O06dOkUdv8bA5XIN6m7j68kh1xLZaDSiu7ub//KRSCQBW3gLfHPI2KlTp0R7F1vMuL3rBoMBFosFoaGhmD17NqZNm4apU6eK9vNNrFpbW3H69OmAbjByadOGqVOn8pNUIepcnE4ndDodwsLCkJaWNm63co4V18VPoVCMabUe+HbtU3h4OJKSkmAwGLBmzRp+R0V/fz/uuOMOmM1mHDx4cMzX9bVjx45h/fr13/r7u+66C++9957wAyKDUFgZwnDCClefIqYVleFwOBx8cOEmqVxwGeldM+r45R3c9rmIiAikpqYKfuewv7+fn5AEckvkixcvoq6uDunp6UhISPD3cAJSf38/dDod312uo6MDZrMZYWFhfJilbnPfjas5k8lkAXHw6HC4XC6+kYfZbEZoaOig81y8HSScTifKy8v5z0UKKqPT0tKCM2fOQC6Xe72Ln9vtRmdnJ5qampCbmwuGYbB27Vps3rwZ+/btQ3t7O44cORI07wHiPxRWhuB2u+HxeIb8N38U0vsKN0k1GAx8q1OpVAqJRPKdW5AGdvySy+UBecCeGPT09ECv10MikWDp0qV+fy0FYkvkgXU+CoVC1FsNxIw7zycuLg7Lli3jJ4cDu81x5zQMLNCnSeRg3A2ckW63CSQD61yMRiPcbveg81zGWudCQcU7uNU9IUKz2+1GaWkptFot8vPzYbfbsW7dOtxyyy3IycnBrFmzfHp9EtworAzhcmFFDIX0vuJyufjgwi3tcsHl0rvrLpeLP7eCOn6NXkdHB6qqqvhWpmILAoHQEplhGJw6dQoWiwUKhSKgt7D5E3dQ4bRp0wad53OpgYcOch0IvTlJDWQsy+LChQtoamoaV6F5YE0DVyMZFxfHr7qMdMW+v78f5eXliIyMxIoVK0TxOROI2traUFtbK+jqntvtxn333YfKykq88847+Pzzz1FcXIxPP/0UqampyMnJQW5uLhQKhei+74i4UVgZwlBhhVtR8Xg8AbXtazS4tpbcndTJkyfzwWXixImoqKjg73hRx6/RaW5uxpkzZwKmtkKMLZHdbjeqqqrgdDohl8uDqkmAkCwWC/R6PebMmTOigwqHmqTGx8fzk9TxdBODW91ra2uDUqkMiI5HvsLVPplMpkGHkyYlJSEqKuqKry8uqERFRSElJYWCyihxdaRCbon1eDz42c9+hs8//xzHjh1DcnIy/2+dnZ3Yt28fiouLsW/fPkilUpw+fZqaJZBho7AyBI/HA7fbzf9ZjB2/hDLw7rrRaITH40FUVBQWL16MuLi4cfVceAPLsqirq0NTUxPS09MDci+vGFoiO53OQa1MKTSPDtc5bdGiRWPepnFp04bo6Gg+0Abz+Swsy+L06dPo6OiAUqmk1b0BuG2l3HkuVzq7w+FwoLy8HDExMUhJSaHvllEyGAyoqalBWloaEhMTBbkmwzB4+OGHUVpaitLS0is22nE6naipqYFcLhdkbCQ4UFgZwsCwEqiF9N7GdVlKTk4Gy7IwGo383nWpVCqabUFixm1Z6urqglwuD4q7r/5oiWy326HT6RAVFUXbRMbAYDCgurraJ6t7TqdzUNMGrmOQRCIJmNPSh2PgNkSlUin6w+78iWEYdHZ28qsuHo+Hb6kfGRmJiooKxMXFYfny5UHz+hAa955OS0sTrOENwzB47LHHsHfvXpSWlmLevHmCXJeMLxRWhuDxeOByufgVFSCwC+nHgmVZ1NfX4+LFi0hNTeXv1HB71weuuHDB5btOxR6PXC4Xqqqq4HK5grrOx9ctkbnaCqlUSuf5jAHXylSILn5utxtms5mfpHJdpMRU+zQaAw/NVCqVtA1xBFiWRU9PD18nabPZMGXKFMydOxcSiSRoPx99yWg04uTJk4IHlaeeegoajQbHjh3DwoULBbkuGX8orAzB4/HA4XAEZSH9SAxcCZDJZJft+DVwW5DBYOCLbqVSKRISEsb9Fh2HwwG9Xo8pU6YgLS1t3Dwf3m6J3NnZicrKSsydOxdz586loDJK9fX1aGhogEwm83or0+9yaRcpj8czqEA/UN4bHo8HVVVV6O/vh0KhoEMzR8lut6OsrAyxsbGIjo6GyWSCxWLh61wCrX26v5hMJlRVVSE1NRUSiUSQa7Isi+eeew47duxAaWkpli5dKsh1yfhEYWUI9957L8LDw6FWq7Fq1apxuUowsOPXSIqXuaJbbsXFbrfzS/1JSUnjrltQb28v9Ho9EhISBrWDHW/G2hKZ24e9dOnSQYWbZPhYlsX58+fR2toKuVzu925VA++uG41G2Gw2JCQk8DUNYl2pcLvdqKyshMfjgVwuH3efad5is9lQXl6OpKSkQaukTqeTr3Mxm818nYtEIkFsbOy4/Qy9HC6orFixAlKpVJBrsiyL559/Hm+99RaOHj2KFStWCHJdMn5RWBlCSUkJPvzwQ5SUlCA8PBw5OTlQq9W4+uqrA+bO31jYbDbo9XpMnTp1zIcUcvUMRqNxUD2DRCIJ+ruRZrMZVVVVI+6yFOxG2hKZO2CPDh4dPZZl+XORFAqFKAverVYrH1x6enoQHR3N3+QQy3hdLhf0ej0mTJgAmUw2Lr4PfMFqtaK8vBxSqfSKrbI9Hs+gOheGYfhmHrRq/037+8rKSqSkpGDatGmCXJNlWfz5z3/Gyy+/jKNHjyI9PV2Q65LxjcLKFTidThw+fBgajQZFRUUIDQ3F1q1bkZeXh2uvvTYo76h1dXWhsrISycnJWLRokVcn2DabjQ8uPT09iI2N5SepwbZHubW1FbW1tVi2bBmtBFzBlVoix8fHo6GhAc3NzZDJZEF7wJ6vMQyDkydPwmq1QqFQBMR7jdtCyN1dj4iI4IOLvwr0nU4ndDodv51zPK64e4PVakVZWRmmT58+ou8YbiWOu8lhs9nGbats4P938lu2bJlg7e9ZlsX27dvxxz/+EQcPHkRGRoYg1yWEwsowuVwuHD9+HPn5+SgsLITL5cLWrVuhVquxbt060W5ZGAmu49fixYt9ftqsw+HgJ6gWi4W/iyqVSgO6o87AhgRpaWmC9bgPBpe2RHY4HAgJCcH8+fMxc+bMoLw54GvcliVuO2cgrmZyBfrcFsLQ0FA+uAhVoN/f3w+dTkcnqo9RX18fysvLkZycjIULF44pdHI3v0wmE7q7uxEVFTWoVXYwr2R3dnaioqJC8KDy5ptv4te//jX279+P1atXC3JdQgAKK6Pi8Xhw4sQJPrj09fVhy5YtUKvVuPHGGwNuss2dvNzY2Dio45dQnE4nP0Ht7OxEZGTkoELsQMEwDH/eglwuv2xDAnJlXPGy1WpFUlISOjs7+QMHfdkSOdhwW5ZCQ0OD5iyay63EcQX6vljtGHj+x/LlyymojBIXVGbMmIEFCxZ4NUxwdS5GoxFmsxlTpkzhXxfBVufCBRUh6/dYlsW7776LJ598EiUlJbj22msFuS4hHAorY+TxePDFF19Ao9GgoKAAHR0dyMzMhEqlwubNm0Wz1/pyxHb2h8vl4vetm81mhIeH8ysuYu4K43a7cfLkSTgcDsjl8nG3JcFbuAl2SEgIZDIZv5py6V1Ub7dEDjbcSkB4ePiY687E6tJtQXa7fVCg9cYqElcEzjXIEOvnj9j19vaivLwcs2bNwoIFC3x6rUvrXFiW5TvOBXqdS1dXF/R6PZYsWYIZM2YIck2WZbFjxw48+uij2L17N9atWyfIdQkZiMKKFzEMg7KyMj64tLS0YOPGjVCpVMjKyvJ7951LOZ1OVFZWgmEYyGQy0d2tdrvdgzpITZ48eUQdpITS398/6DR12q40Og6HY9BWm8tNsL3dEjnY2Gw26HQ6xMXFjasOdFarlQ8uPT09iImJ4YPLaAIttxIwbdq0KxaBkyvr6emBTqfD7NmzMX/+fEGvzW0t5YILF2jF3nFuKBaLBTqdDosXL8bMmTMFuSbLsvjoo4/w4IMPQqvVYtOmTYJcl5BLUVjxEYZhUFVVhfz8fGi1Wly4cAE33ngjVCoVsrOzERsb69cvP6vVioqKCkRGRmLFihWiv/N6aQcpbt8610HKX8+l1WqFTqdDbGwsUlJSxs3E0Nv6+vqg0+mQmJg4ojvYY22JHGy4QzPH+wTb4XDwE9SBgTYpKQlRUVHf+bxwKwEzZ870+pal8aSnpwfl5eWYO3euKE425zrOcSu00dHRfHARc51Ld3c3dDodFi5c6PN60oG0Wi3uu+8+7Ny5E9nZ2YJdl5BLUVgRAMuyOHXqFPLz81FQUIBTp05h3bp1UKvV2Lp1KxISEgT9kPRlxy8hcPvWDQYDv8zPTVDj4+MFCwxdXV2oqKjgtzYE2vMoFhaLBXq9nr/zOtrncaQtkYMN9zxSq+zBuEBrMpnQ0dHxned2cM+jWCbYgYqbYM+fPx9z5szx93C+xel0Duo4x93o4OpcxPL+4Z7HBQsWYPbs2YJdd/fu3bjnnnvw73//G2q1WrDrEjIUCisCY1kW586d44NLRUUF1q5dC7VajZycHEilUp9+SHIdv5YsWSLYUrIvsSw7qODW4/HwE5GEhASfrRgZDAZUV1cHzfPoL0ajEdXV1Vi0aJFX7xheqSWyL18X/tLR0YGqqiqvP4/BhmEYdHZ28oGWq2fgXhfd3d2oqKjAwoULBZ0YBhsu8Ak9wR4t7kYHF14ADHpd+OvzgluZEjrw7du3D3feeSfee+893HrrrYJdl5DLobDiRyzLoqGhARqNBlqtFl999RXWrFkDlUqF3NxczJgxw2vBZWDHr2BtqcsV3BoMBhiNRjidTv4LJzEx0SuFlSzL4uLFi7hw4QIdUjhGzc3NOHv2LFJSUnx68vKlLZH7+/sHvS4CvcaIC87Lly8XrI1pMBiqVTbLsvyKcyC2eRYDbsVZ6C1L3sKyLCwWCx9cHA6HX+pcuK2Ic+fOxdy5cwW5JgAcOXIEt99+O9566y3cfvvtollhIuMbhRWRYFkWzc3N0Gq10Gq1+PTTT5GRkQGVSgWVSoU5c+aMaXvMqVOnYLFYRNHxSwgsy6Kvr48PLna7HQkJCfwy/2gmqCzL4syZMzAYDJDJZIiJifHByIPfwLNoZDIZ4uLiBL12X18fP0EN9JbIXOCj4Dw2BoMBJ0+ehEQigd1uR29vL39obVJSUsC1o/cXrluVkEXgvnZp4wauzoU7z8UXuKDCbekUyscff4xbb70V27dvx1133UVBhYgGhRURYlkW7e3tKCgogEajwccff4y0tDQ+uIzkMC2xd/wSCveFYzAY0NfXx09QJRLJsO6gejweVFdXo6+vDwqFgiYvo8QFPqPRKIqzaAK5JXJ9fT0aGhoED3zBhtsam5qaColEAuD/F+gbjUZ0dXUhMjKSf11Qx7mhced/CNlWV2hcJ0KucUNYWBj/uvBWQ4++vj6UlZUJ3j3t008/xc0334yXXnoJP/rRj+g1TkSFworIsSyLjo4OFBUVIT8/H6WlpViyZAkfXK7UOencuXNob29HdHR0QHT8EordbudXXLgWp1KpFBKJZMjzUZxOJyoqKhASEoL09HTaHjJKYg98gdISmWVZnD9/Hq2trZDL5aJriR5IuJWp9PT0y26NHdhxzmw2Y/LkyYMK9MXyuvAns9mMyspKQQ8q9LeBDT06OjoAgN8qNto6F65dNteFTihfffUVVCoVfve73+GBBx4QxWv6tddew4svvoj29nakp6dj+/btuOqqq/w9LOInFFYCCFdMXlxcDK1Wi0OHDmHu3LlQqVTIy8sb1Dq3pKQE99xzD1588UVs27ZNFB8+YsTdQTUYDLBYLIiOjuYnqBEREfyZFdHR0UhJSaHAN0oul2vQCp/YA59YWyKzLIva2lqYzWYoFArRHzorZo2NjairqxvRyhR34CC3GgeADy7x8fHj8vOBa+6wbNmycVszxTAMX/9kMpnQ39+PhIQEPrwM5/POarWirKwMM2bMwMKFCwUY9Td0Oh1ycnLwy1/+Eg8//LAo5gofffQR7rzzTrzxxhtYtWoVXn75ZezatQtnzpzhVz/J+EJhJYB1d3djz5490Gq12L9/P6ZPnw6VSgWXy4W33noLzz77LB566CF/DzNgcK0sDQYDOjs7ER4eDofDAYlEQmeojAF3mnpYWBjS0tICbkInlpbIDMPg5MmTsFqtUCgUQ64CkuHhttApFIpR155xhdjc68LpdPJ1ccHQuGE4TCYTTp48Oa6DyqVYluXPczEajejt7eW3l3LnuVyKCyrJyckj2uY9VlVVVdiyZQsef/xxPPbYY6IIKgCwatUqrFy5Eq+++iqAbz77Zs2ahZ///Od44okn/Dw64g8UVoJEX18fSkpK8Otf/xqnTp1CYmIibr/9dqjVaqxcuTLgJoj+1tbWhpqaGkydOhU2mw1hYWH8VrHhHCpHvsEdmhkXF4fly5cHfODzV0tkt9uNyspKuN1uyOVy0a9MidXALXQKhcJrNVNc4wZugtrX14e4uDj+tRGMwdJkMqGqqgopKSmYNm2av4cjWg6Hg1+l7ezsREREBB9cYmJiYLfbUVZWhmnTpgl67tmpU6eQmZmJBx98EM8884xovtOcTiciIiKQn58/6HyXu+66CxaLBUVFRf4bHPGbsfdyJaIwceJEFBQUwG63o7y8HI2NjdBoNLj55psxdepU5OTkQK1WY82aNV5p4RvMmpqacO7cOaSmpkIqlcLj8aCjowMGgwFlZWWYNGkSJBIJpFLpuDwlfbi6u7uh1+v5bQ3B8DxNmDABCQkJSEhIwNKlS/mtH2fPnvVZS2SXywW9Xo/Q0FAolUp6/47SwOYOGRkZXt1CFxISgqioKERFRWH+/Pmw2+18cDl79iyioqIGdZAK9PeC0WjEyZMnsWLFCp+2HQ8GYWFhmDlzJmbOnAm3282f56LX6xESEgKGYRAfHz+mA3FH6vTp08jOzsZPfvITUQUV4JtthR6P51uvK6lUitOnT/tpVMTfaGUlCJhMJqhUKgBAYWHhoD2dDocDR44cgUajQXFxMUJDQ5GTk4O8vDysXbt2XGxVGC7uwM7W1lbIZDLExsZ+6zED96wbjUaEhobyW4KGOg17vOL2sY+Xw/V81RLZ4XBAr9cjPDwcqamptEI6SgNrfTIyMgRt7uB0OgcV6Iul/mm0uHN9BnZPIyNns9nw1VdfYcqUKfB4PPzNjqSkJCQmJvps9fT8+fPIzMzE97//fbzwwgui+85qbW3FjBkz8Nlnn2HNmjX83z/22GM4fvw4vvzySz+OjvgLhZUAx90hWblyJd59990rfgm7XC4cO3YM+fn5KCoqgtvtxtatW6FSqbBu3bpx29YY+CaE1NTUoKenB3K5fFh3XS/dEsSyLJKSkiCVShEfHy+6LwGhtLa2ora2dlxvD/FGS2SuuUNcXByWLVs2bl9PY8UwDP/eViqVft2SdelJ6SEhIfyWoEAo0G9vb+fbPNO5PqPH7YDgVmgB8NsITSYTX+fC3ezwVhv1+vp6ZGVlIS8vD3/5y19E+ZlC28DIUCisBLinn34aLMviN7/5zYg+eNxuNz755BPk5+ejsLAQfX19yM7Ohkqlwo033ii6trK+5HK5UFFRAYZhRl0PMLDY1mg0wu12IzExEVKp1Ke1DGLT0NCA+vp6pKWlXbYV7HgzmpbIvb290Ol0mDZtGhYvXhxwd9/FgmEYVFVVwW63Q6FQiOqGDMMw/EnpRqMRLpdr0J11sa16t7W1oba2FmlpaUhMTPT3cAKWw+FAWVkZ4uPjL3v0ANelkjvPJSIigg8u0dHRo/o8aGxsRGZmJrKysvDaa6+JMqhwVq1ahauuugrbt28H8M17Zfbs2fjZz35GBfbjFIWVAMey7JgnMh6PB59//jk0Gg0KCgrQ2dmJzMxMqFQqbNq0Kajbo9rtduj1ekRERHhtmw3Lsujp6eEPoRxYy5CUlBSUNQcsy+Ls2bNob2+nsz+uYDgtkS0WC/R6PX96NQWV0fF4PKisrITL5YJCoRDd5H+gy20j5FZd/F2g39raitOnT1/xPBry3YYTVC7ldrvR0dEBk8mEjo4OTJgwYVC77OGEjra2NmzevBnXX3893nrrLdHfPPvoo49w11134c0338RVV12Fl19+GTt37sTp06epRmqcorBCBmEYBmVlZcjPz0dBQQFaW1uxadMmqFQqZGVl+f3EcW/q6emBXq+HRCLB0qVLfTIpvHQSYrPZEB8fD6lUiqSkJFFPoIaL22bT3d0NhUIh+pPfxWKolsjR0dHo7OzEokWLxkWtj6+43W5UVFSAZVnI5fKAu0Fgs9n4FZfu7m5ER0cPKtAXUktLC86cOUNBZYz6+/tRVlaG2NhYLF++fFTfN9zWY27VxeVyfWe77Pb2dmRlZWHVqlV49913RR9UOK+++ip/KKRMJsMrr7yCVatW+XtYxE8orJDLYhgGlZWVfHCpr6/HjTfeCJVKhezs7IAsDuVwBeDz58/HnDlzBPs9rFYrH1x6e3sRFxfH31kX0xaV4XK73aiqqoLT6YRcLg/I30EMGIbBhQsXUF9fz0+shWiJHIwGdk+TyWQB/9xx5z9x2wjDwsL4z4zRbgkarubmZpw9exYymQzx8fE+u06w6+/vR3l5OX+4sDf+Pxt4I8xkMqGvrw87d+7ErFmzcOutt2Lp0qUwmUzYsmULUlNT8a9//SvgQjshHAorZFhYlkVNTQ0fXGpra7F+/Xqo1WpkZ2cjISEhYIJLc3Mzzpw5g+XLl/v1IDO73c4HF64Im5uEBELNkNPphF6vx8SJE5Genk5fhGPATQpTU1ORmJjIt0Q2Go0+a4kcjJxOJ8rLy4O2e9rA1rcDDyjlCvS9WYfAtXCXy+WIi4vz2s8db5xOJ8rKyhAVFYUVK1b47HvSbrfjtddew+7du1FRUYEZM2bAarVixYoVOHDgAJ3NRAIahRUyYlx9gkajgVarRWVlJa699lqoVCrk5uZCIpGIMriwLIu6ujo0NTUhPT1dVHcK+/v7+clpV1cXoqKi+OAixpohrlNVdHQ0VqxYIepiTbHjTlOXyWTfmhT6qiVyMHI4HNDpdIiMjBwXr8mBW4KMRiM8Hs+gAv2x3DxobGxEXV0d5HL5kC3cyfBw4Xnq1KmCvibr6uqwZcsWuN1u2Gw2REVFITc3FyqVCuvXr6fgQgIOhRUyJizLor6+ng8uX3/9Na6++mr+gzE5OVkUwYVhGJw6dQpdXV2Qy+WIjIz095Aua+C2D7PZzHePkkqlojhQjqv1oU5VYzOa09S90RI5GHGtYOPi4kZdDxDIWJZFb2/vt2rjRhNqL168iAsXLlBQGSOXy4WysjK+eYtQQaWnpwcqlQpxcXEoLCzEhAkTcPz4cRQVFaGoqAjd3d3IysqCSqVCTk5OUNWhkuBFYYV4DcuyaGpqglarhVarxeeff46MjAzk5uZCrVZj9uzZfplEuFwuVFVVweVyQSaT+b2zzki43W4+uHR0dAi6X30onZ2dqKysxLx58wSt9Qk2Aw8pVCgUo1o9G01L5GBktVpRXl4OiUSCJUuWjJvf+0qsViu/VYwr0OeCy5Vea1zrcYVCgZiYGAFHHFxcLteg7YhCBZW+vj7k5eUhLCwMe/bs+dZ2YpZlodfr+eDyz3/+E2lpaYKMjZCxoLBCfIJlWbS1taGgoABarRYff/wx0tLSoFaroVKpsGDBAkEmFdwJ4FOmTEFaWlpA11V4PJ5BbW8nTpzIT05jY2N9/nxyB8ItXboUycnJPr1WMGMYBidPnoTVaoVCofBKeB5OS+RgxJ1Hk5ycjIULFwbt7zkWXKg1mUwwm82XPbOD246oVCqp9fgYuFwu6HQ6/jtHqKBis9lw8803AwBKSkpEvXuAkJGisEJ8jmVZdHR08MHl6NGjWLp0KR9cfNU2uLe3F3q9HgkJCUF3AjjDMIPa3oaEhPCT07i4OK//ro2NjTh//jwdCDdGbrcblZWVcLvdoz6A9LsM1RLZl68Nf+nu7oZer8fs2bPpPJph4gr0uVAbGhoKiUTCr+BmZGTQtqAx4ILK5MmTkZ6eLth7zW6347bbboPNZsP+/fspbJKgQ2GFCIplWXR1daGoqAharRaHDh3C/PnzoVKpoFarkZKS4pUPeLPZjKqqqnFxsB53ErbBYIDRaATLsoPa3o7l+eSaEjQ3N0Mul9PWkDEY2FJXqO5pXBE2V8vAMExQtETu6upCRUUF33qcjBzDMOjs7ERdXR16enoQGho66LURyKvQ/uB2u6HT6fjuiEK9t/r7+3HHHXfAbDbj4MGDVGdEghKFFeJX3d3d2L17N7RaLQ4cOIDk5GTk5uYiLy8PMplsVBPt1tZW1NbWYtmyZeNuuxLLsuju7uaDi8vl4icgiYmJI/oCZRgGtbW16OzsHHVdBfkGtx3Rny11uddGoLdENpvNqKysxOLFizFz5kx/DydgcTciWlpaoFAowDAMvxpnt9sHFehT96grc7vd0Ov1mDBhgqBn+zidTmzbtg0tLS04fPiwqDpcEuJNFFaIaPT19WHv3r3QaDTYu3cvEhMTkZOTg7y8PKxcufI7gwvXmezixYtIS0sb96ctcx2CuODicDiGPTn1eDyoqqqCw+GAXC4PqKYEYsO1eY6LixPNdsRAbYlsMplw8uRJqpsao4Gd6JRK5bfqG7jDa00mE3p6evgzoJKSksZ117mheDwe6HQ6wYOKy+XCPffcg7Nnz6K0tJS255KgRmGFiJLNZsOBAweg0WhQUlKCqVOn8l3F1qxZ860vBKfTif/7f/8vNmzYgBtuuIH2XV+CZVlYrVY+uFitViQkJAx559TpdKKiogIhISGQyWQBc8ddjLgCcLG3eR6qJbLYDig1GAyorq7GihUrIJVK/T2cgMWyLM6dO4f29nYolcrvXDF1OBx8gf7ArnNJSUmIiooS7WtaCB6PB3q9HgAgl8sFCyputxv33XcfKisrUVpaSu8HEvQorBDRczgcOHz4MLRaLYqKijBp0iR+xeWaa66B1WrFLbfcgra2NhQXF2PBggX+HrLo2Ww2Prj09vYiLi6Ob4dcU1PDH2IWqDUNYmCxWKDX6wOubkqMLZFbW1tx+vRppKamIikpSfDrBwvuQF+DwYCMjIwRr5K4XK5BBfqTJk3it5nGxsaKYtVQKB6PBxUVFWAYBgqFQrDPSo/HgwceeABffPEFjh07RiuMZFygsEICisvlQmlpKTQaDQoLC+FyucAwDBITE7F//3764B4Fh8MBo9GI1tZW9Pb2YvLkyZgzZw6kUqlo7qoHmo6ODlRVVWHRokWYNWuWv4czamJoidzU1IRz585BJpPRnvwxYFkWZ86cgclkglKpHPN2Lq5An1uRY1mW32YayM0bhsPj8aCyshIejwdyuVywZgQMw+Chhx7CsWPHUFpaitmzZwtyXUL8jcIKCVjV1dXYuHEjIiMjYbVaYbfbkZ2djdzcXGzYsIHqLEaA6640Y8YMhIeHw2g0oqurC5GRkZBKpZBIJFRgP0zt7e2oqanB8uXLMX36dH8Px2v80RKZO6SQTlMfG5Zlcfr0aXR0dCAjI8PrNyG45g3cipzD4eC3mSYmJgZVgT7DMKioqIDb7YZCoRA0qDz66KPYt28fSktLMW/ePEGuS4gYUFghAenEiRNQqVT4yU9+gt/97ndgGAaff/458vPzUVBQAIvFgs2bN0OtVmPTpk1UFHoFRqMR1dXV3+qu5HK5YDKZYDAY0NnZifDwcD64jKcT0keiubkZZ8+eDfrtSr5uicyyLC5cuICmpiYoFAo6N2IMWJblu/oplUqfr5Zy9XFccOnt7UVsbCxf5xLIq7UMw6CyshJOpxMKhUKwej6GYfDkk09Cq9Xi2LFjWLhwoSDXJUQsKKyQgLNr1y7cfffd+POf/4z77rvvW//OMAy+/vprPri0t7dj48aNUKvVyMzMpOL7AbjJ9YoVKyCRSC77OLfbjY6ODhgMBn47EBdcBp6CPZ5xJ4DLZDLExcX5eziC8XZLZK4AvK2tbchOVWT4WJbFqVOn0NXVhYyMDL+sNnMF+gNXa7lgG0g3PRiG4TskKpVKwYIKy7L41a9+hX/96184duwYlixZIsh1CRETCiskoLz22mt44okn8OGHHyI7O/s7H88t2XPBpaGhARs2bIBKpcKWLVsE23cvNtyd68bGxhFPri/dDjRx4kR+O1BsbOy4ez4HtoFVKBTjOgyPtSXywO1KdLbP2LAsi5qaGnR3d0OpVIpiW+zAGiiz2YzJkycPKtAX62cHwzA4efIk7Ha74EHl+eefx1tvvYXS0lKkpKQIcl1CxIbCSgDr7+/HqlWrUFlZCb1eD5lM5u8h+VxpaSmioqKQkZEx4v+W+/LOz8+HVqvFmTNnsH79eqjVamRnZyM+Pl60X5bexE0ITSYTFArFmO5cDyyyNRqNCAkJQVJSEqRSqc/qGMSE22JjNptpcj2EkbREZhgGp06dgsViEWS7UjBjGAY1NTXo7e2FUqkU5bk5Ho9nUIE+AD64xMfHi6ZAn2EYVFdXw2q1QqlUClZ/w7Is/vSnP+GVV17BkSNHkJ6eLsh1CREjCisB7KGHHsK5c+ewb9++cRNWvIVr4anRaKDRaFBVVYXrrrsOKpUKOTk5kEgkQRlcPB4P/8Url8u9OiFkGAYWi4UPLh6Phw8uYpp8eAt3t9VqtUKhUIjizrWYXaklckREBGpqatDX1yfayXWg4CbXgfRcsiwLi8XCvz64rYRJSUlISkry21lP/gwqr7zyCl588UUcPHhwVDfnCAkmFFYC1L59+/Df//3f0Gg0SElJobAyBtyWKI1GA61Wi/LycqxZswYqlQq5ublITk4OiuDicrlQWVkJhmEgk8l8+sU7sI7BYDDA5XIhMTERUqkUCQkJgnXQ8RW3243Kykq43W7I5fKg6nYkhEtbIgNAaGgoVqxYgYSEhKB4v/kDF6BtNpugk2tv4rYScsGlr68PcXFx/KqLUDcFWJZFdXU1ent7kZGRIWhQeeONN/Cb3/wG+/fvx+rVqwW5LiFiRmElABkMBiiVShQWFiIxMRHz5s2jsOIlLMuiqamJDy6ff/45Vq5cCZVKBZVKhdmzZwfkRMrhcECv1yMsLAxpaWmCrnKwLIve3l5+xcVutyMhIQFSqXRUBdj+5nK5oNfrERoaivT09IAPXv7EnQDe39+PqKgomM1mhIaG8hPT8bCV0FsGFoArFIqADCpDsdvtfHCxWCyIjIzkV+SmTp3qk89jbstwT0+PoKtTLMviH//4B5566ins3bsXa9euFeS6hIgdhZUAw7IstmzZgmuuuQZPP/00GhoaKKz4CMuyaG1tRUFBAbRaLU6cOIH09HSo1WqoVCrMnz8/IIKL1WqFTqdDfHw8li1b5vfJ38AC7L6+Pr4AWyKRiH6CxYW+8PBwpKamBt3WNiG5XC5UVFQgJCQEMpkMEydO9HlL5GDFtdTt7+8XtABcaE6nEx0dHTCZTD47pJTroGaxWJCRkSFoUNmxYwceffRR7N69G+vWrRPkuoQEAgorIvHEE0/ghRdeuOJjamtrcfDgQezcuRPHjx9HaGgohRWBsCwLk8nEB5fS0lIsW7aMDy5LliwRZXDp7u6GXq/HzJkzsWDBAtGNkSvANhqN6Onp4c9jEHK7x3DZbDbodDrExcWJIvQFMqfTCZ1OhylTplx2pc/bLZGDlcfjQVVVleBnf/gb15XQZDLBZDLxzT2SkpJGXSM38EwaIVs9syyLjz76CA8++CAKCgqwceNGQa47Ur/73e9QUlKCiooKTJ48GRaLxd9DIuMEhRWRMJlMMJvNV3zM/Pnz8b3vfQ+7d+8eNOn0eDwIDQ3F97//fbz//vu+Huq4x7Isurq6UFRUBI1Gg8OHD2PBggXIzc1FXl4eli9fLoqJbEdHB6qqqrBw4ULMnj3b38P5Tg6Hg5+YWiwWREdHQyKRQCqV+r0zVG9vL3Q6HaZNm4bFixeLLvQFkv7+fuh0OkRERCA1NXVY75WxtkQOVh6PZ1Dt1HgJKpfimntw28W4GrmkpKRhB1uuS6LZbBb8TBqNRoP7778fO3fuxJYtWwS77kg9++yziI2NRXNzM9555x0KK0QwFFYCTGNjI3p6evg/t7a2YvPmzcjPz8eqVasGnUBOhNHd3Y3du3dDo9HgwIEDmDlzJlQqFdRqNdLT0/0SXFpbW1FbW4uUlBRMmzZN8OuPldPp5CemnZ2d/D51qVQqeHtgi8UCvV6POXPmYN68eRRUxsDhcKC8vBwxMTFjCvUjaYkcrDweDyoqKuDxeKBQKKh26n9dLthyqy5DhRCWZXHmzBmYTCZkZGQI+hoqLi7Gvffeiw8++AAqlUqw647Fe++9h4cffpjCChEMhZUAR9vAxKW3txd79+6FRqPBvn37kJiYyK+4ZGRk+Dy4sCyLixcvor6+Hunp6YiPj/fp9YTgcrn4O6Zmsxnh4eF8cPH1Cdjc6tSiRYswa9Ysn11nPLDZbCgvL0dCQgKWLVvmtf/frtQSOZBOSB8JrjEBy7KQy+UUVK7AbrfzwaW7uxtRUVGDCvS5NvZGo1HwoLJv3z7ceeedeP/993HLLbcIdt2xorBChEZhJcBRWBEvm82G/fv3Q6vVYs+ePYiKikJubi7UajVWr17t9WJh7ku3vb0dcrkc0dHRXv35YuB2uwe1vJ08ebLXC2w57e3tqKmpwfLlyzF9+nSv/dzxqK+vD+Xl5T7fRndpS2RfFGD7m9vthl6vR0hICORyOTUdGAGn08nXuJjNZoSFhWHixImw2+1YuXKloKu2R44cwe233463334bt99+u2DX9QYKK0RoFFYIEYDD4cChQ4eg1WpRVFSEKVOmICcnB2q1Gtdcc82Y95pzJ1Z3d3dDoVAgIiLCSyMXL67AltsOFBoayk9M4+LixjQxbW5uxtmzZ5GamoqkpCQvjnr86e3tRXl5ueBNHoZ6fQR6S2QuqEyYMAEymYyCyhi43W5UV1fDbDZjwoQJmDBhAl8DFR8f79PXx8cff4xbb70Vr776Ku68806/hujhNvdZunQp/2cKK0RoFFYIEZjT6URpaSk0Gg0KCwvBsiyys7ORl5eH66+/fsTte7kDCl0uV1CdrzASXMtbg8EAo9EIAHxwGenEo76+Hg0NDZDJZIiLi/PVkMeF7u5u6HQ6zJ07F/PmzfPbOIKhJTJ3vs/EiRORnp4eEGMWK5ZlUVdXh5aWFn7rl8Vi4YOt2+1GQkIC33nOm9vsPv30U9x8883405/+hB/+8Id+X+0bbnOfgd8rFFaI0CisEOJHbrcbJ06cwK5du1BYWAi73Y7s7Gyo1WrccMMN39mRpr+/H3q9HpMmTaIDCv8X162Nm5h6PJ5hTUxZlsW5c+fQ1tYGhUKBqKgogUceXDo7O1FRUSG6bnSB2BLZ5XJBp9Px73MKKmNTV1eH5uZmZGRkfGvr18BDbE0mk1c7z3355ZdQq9X4/e9/j5/+9Kd+Dyqj5c2wwnUzHYhl2YB9bohvUFghRCQ8Hg8+++wz5Ofno7CwEBaLBZmZmVCr1di4ceO3tnbV1NTgwQcfxG9/+1usWrUqILe1+BrLsujp6eFXXJxO56CJKRfuuIPgOjs7oVAoBO84Fmy4xgRLlizBjBkz/D2cywqElsgulwvl5eWYMmWK37oLBpO6ujo0NTUhIyMDkZGR3/n4SzvPcS3Vk5KSRvQ5odPpkJOTg2effRYPPfRQQE7GGxsb0dnZieLiYrz44os4ceIEAGDhwoXDei4v5Xa7+c/gP/7xj/x33nXXXUeBhQxCYYUQEWIYBl999RUfXNrb27Fp0yao1Wps3rwZlZWVuO2225CdnY3XX3+d7rQOAzcx5YKL3W5HQkICkpKS+D8rFArRHUYZaIxGI06ePBmQbbPF1hKZOzwzLCwMaWlpFFTGqL6+HhcvXhx2ULkU13mO2zoVERHBB5fo6OjLTq4rKyuRnZ2Nxx9/HI899ljATsLvvvvuIc9yKy0txbp160b0s8xmMxISEvifa7fbsXbtWrz++uvYvn07brzxRm8MmQQJCiuEiBzDMNDr9dBoNNBqtbhw4QIYhsHmzZvx9ttvB02XI6FZrVa0tbWhsbERHo8HcXFxmDZtGiQSybis+/GGtrY2nDp1CqmpqZBIJP4ezphc2hI5MjISSUlJ/Fk/vn7POZ1OlJeXj+jwTHJ5XFBRKpVe2eLpdrv5Bg4dHR0IDQ0Fy7Lo7OxEVlYWf9OjpqYGWVlZeOihh/D000/TZzWAt956i++UuWvXLvzjH//Avn37AAAffPAB3n//fZSUlCA0NJSeLwKAwgohAeU///kP7rnnHmzatAkXLlzA2bNnccMNN0ClUiE7Oxvx8fH04T5MXMFyaGgoFi9ezE88enp6EBMTA6lUColEQistw8R1UEtPT+fvmAYLoVsi9/f3o7y8HJGRkVixYgUFlTFqaGhAfX09lEqlT1q6cw0ciouL8eyzz8LhcGDt2rVYuXIl3njjDdx33334zW9+Q5/N/+u///u/0dbWhv/85z/o7OyEwWDAsmXL4HQ60dTUhB/+8IfYu3fvuDnglXw3CiuEBIi//vWvePrpp7Fz505kZWXxpy5rNBpoNBpUV1fj2muvhVqtRk5ODpKSkujL8TIcDgf0ej3Cw8ORmpo6aBudw+GAyWSCwWCAxWLh96hLJJJx0RJ6NBobG1FXVzcuOqj5uiUyF1SioqKQkpJCQWWMLl68iAsXLvgsqFzK4/HgxIkTePfdd1FQUAAA2Lx5M/Ly8pCbmxvwK47e8Morr+D48ePQaDRgWRYej2dQc5gtW7Zg79698Hg82LNnD7Zs2SLKxhdEOBRWCBE5lmXx5JNP4u9//ztKSkpw1VVXDfmYuro6fquYTqfDmjVroFarkZubi+nTp1Nw+V82mw06nQ5xcXFYtmzZFSeD3CFyBoOBPx2dW3EZzZ73YMS1elYoFIiJifH3cATl7ZbIDocD5eXliImJQUpKCr1nx4gL0UK/Nuvr65GZmYmbbroJ9913H3bv3o3CwkJ8/fXX/OeyWq3GggULBBuTv2k0Gr6F+cGDB/HSSy/hiy++GLTVy+12w+PxIC8vDy+99BIef/xxLFmyBC+99JKfR0/8jcIKISL305/+FHv37sXBgwexePHi73w8y7JobGyERqNBQUEBvvjiC6xcuRIqlQoqlQqzZs0at5Og3t5e6HS6UZ2kfulWoPDwcH7FJSoqatw9pyzL4vz582hpafFaHUAgG2tLZC6oxMbGYvny5ePu9eRtTU1NOH/+PORyOWJjYwW7bmNjIzIzM5GVlYXXXntt0M2Q1tZWFBcXo7CwEEePHkVWVhaKiooEG5u/tLS0QKVSob6+HlFRUZgxYwZcLhdKSkowderUb61Y5+Xl4ezZs1CpVPj973/vp1ETMaGwQkQvNzcXFRUVMBqNiIuLw4YNG/DCCy8gOTnZ30MTxNGjR7F06dJR/b4sy6K1tRVarRZarRaffPIJZDIZ1Go1VCoV5s2bN24mRRaLBXq9HnPmzBnz7+3xeNDR0QGDwYCOjg5MmjQJEokEUql0XDQ84LYgGo1GKJVKavV8iZG2RLbb7SgvL0d8fDyWLVsW9K8fX+PqpxQKhaBBpbW1FZmZmVi3bh3eeuutK67adnd3o6GhAenp6YKNz1+4NsQ6nQ719fV45513sH//fmRkZCAmJgZqtRozZ86ESqUCANx7772w2+344IMPAAx9FgsZXyisENH7y1/+gjVr1mD69OloaWnBI488AgD47LPP/DyywMKyLIxGIwoLC6HRaHDs2DEsX74cKpUKarV6xCsNgYQ792PRokWYNWuWV3+2x+NBZ2cnPzENDQ3lV1xiY2ODruaAZVnU1tbCbDZDqVRSHc8wXKklMgCUlZUhMTERS5cuDdr3oFBaWlpw5swZyOVyQeun2tvbkZWVhVWrVuHdd9+lyfUVlJWV4eGHH8Ztt92GpqYmvPfee1i9ejV27dqFKVOmwGQyISkpCQAFFfINCisk4BQXF0OtVqO/v5+K7kaJa7FZVFQEjUaDI0eOYOHChcjNzUVeXt531nIEkvb2dtTU1GD58uWYPn26T691aQ0Dy7J8u9v4+PiAf04ZhkFNTQ16enqgVCqpU9ooXNoSGQCioqKwfPlyREZGUlgZg9bWVpw+fRoymQzx8fGCXddkMmHLli1IS0vDjh07BhWLk2/77LPPcNNNN6G6uhqJiYkwGo2IjY39Vst4OhiScCiskIDS2dmJ+++/Hy0tLfjkk0/8PZygwO213717NzQaDQ4ePMgvyefl5QX0YXTcdpDU1FT+Tp1QWJaFxWLhg4vb7UZiYiKkUumoiq/9jWEYnDx5EjabDQqFQhSnuwcym82Gr7/+GlFRUZgwYQLMZrPPWyIHs7a2NtTW1goeVMxmM7Kzs7Fo0SJ8+OGHdANtGEwmE66++mocPXp00Eo3wzAB+11DfIvCCgkIjz/+OF599VXYbDasXr0ae/bsCbqzHMSit7cXJSUl0Gg02L9/PxITE/ngolQqA+bLhOtSJYZ2uizLoqenB0ajEQaDgS++lkqlSExMFP2dWI/Hg8rKSrhcLigUCpqQjZHVakV5eTmmTZuGRYsWISQkxOctkYMZF1SEPuPHYrFg69atmDlzJvLz8+kw2WFyu92YO3cu8vPzsXr1an8PhwQACivEL5544gm88MILV3xMbW0tli5dCuCbmoPOzk5cvHgRzz33HGJiYrBnzx668+hjVquVP2m4pKQE0dHRyM3NhVqtxqpVq0S5OsCyLM6dO4e2tjYoFArRdam6tPjaZrMhPj4eUqkUSUlJogsCbrcbFRUVYFkWcrlc9MFK7KxWK8rKypCcnIyFCxcO+Rnm7ZbIwYzb5pmeno7ExETBrtvT04Pc3FzEx8ejsLCQtkQOE8uyqK+vx+233479+/f7/UYSCQwUVohfmEwmmM3mKz5m/vz5Q96pam5uxqxZs/DZZ59hzZo1vhoiuYTdbsehQ4eg1WpRXFyMsLAw5OTkQK1W45prrhHFJJZlWZw6dQqdnZ1QKBQB0aXKarXyk9Le3l7ExcXxW4H8vdXK5XJBr9cjNDQUMpmMJslj1NfXh/LycsyYMQMLFiwY1s2WsbZEDmYGgwHV1dVIS0sTdJtnX18f8vLyEBYWhj179tBJ66Ngt9sRHh5OBfRkWCiskIDT2NiIOXPmoLS0FOvWrfP3cMYlp9OJ0tJS5Ofn8+cEZGdnIy8vD9ddd51ftkNwNRVWqxUKhSIg73Ta7XZ+Unpp1yihJ0ROpxPl5eUICwtDWloaTSjGqLe3F+Xl5Zg1axbmz58/qlXhkbZEDmZGoxEnT54UPKjYbDbcfPPNAICSkhI6HJYQAVBYIaL25Zdf4uuvv8batWsRFxeHuro6PPPMMzAYDKipqRlXX85i5Xa78fHHH2PXrl0oKiqCw+FAdnY21Go11q9fL0hocLvdqKyshNvthlwuD4q94/39/fyktKurC1FRUXxw8fWKkcPhgE6nQ2RkJFasWEH1EmPEBZXZs2dj/vz5Xvu5V2qJHMx3+00mE6qqqpCamsq3fxaC3W7HbbfdBrvdjn379iE6OlqwaxMynlFYIaJ28uRJPPTQQ6isrITVasX06dORmZmJp59+GjNmzPD38MglPB4PPv30U+Tn56OwsBDd3d3IysqCWq3Ghg0bfHImx8CtSunp6aLYjuZtTqeTb3drNpsxdepU/hDKqVOnerV2izugMC4ujk5S94Kenh7odDr+MFJfubQlcmRkJN8229uvEX/igsqKFSsglUoFu25/fz/uuOMOmM1mHDx4UNDDJgkZ7yisEEJ8gmEYfPnll3xwMRgM2Lx5M1QqFTIzM72yfYJbAYiIiEBqauq42KrkcrnQ0dEBo9GIjo4OhIWF8XfTo6OjxzQp5bpUSSQSLFmyJGgmuP7S3d0NnU6HefPmYe7cuYJd99LXSLC0RO7o6EBlZSVSUlIwbdo0wa7rdDqxbds2tLS04PDhw4K2RiaEUFghhAiAYRjodDpoNBpotVo0NTVhw4YNUKlU2LJly6gm2TabDTqdDnFxcUF1iOVIeDweflJqMpkwadIkflIaGxs7oueUK/6+UpcqMnwWiwV6vR7z58/HnDlz/DaOYGmJbDabUVlZiWXLlvn8cNeBXC4X7rnnHpw7dw5Hjx4VtOMYIeQbFFYIIYJiWRbV1dXYtWsXtFotzp8/jxtuuAG5ubnYunUr4uLivnOi3NvbC51Oh2nTpmHx4sU0scY3gXDgpDQkJIQPLt81KeW2Ks2ePRvz5s2j53OMuKCyYMECzJ4929/D4QVqS+TOzk5UVFQIHlTcbjd+/OMfo6qqCqWlpYJuOyOE/H8UVgghfsOyLE6fPo38/HwUFBSguroa1113HdRqNXJycpCYmPitifPhw4dRXFyMhx9+mCbWl3HppJRl2UGT0oHBRSwrAMGiq6sLer0eixYtGnQ6t9gESktkLqgsXboUycnJgl3X4/HggQcewBdffIHjx48LGpIIIYNRWCGEiALLsqirq+ODi06nw9VXXw21Wo3c3FxMmzYNWq0W9913Hx577DE89thj/h5yQOAmpQaDAUajES6Xiw8uISEhqK6uxuLFizFz5kx/DzXgcRPrQHs+xdoSmQt+S5YsEbShCsMweOihh3D8+HGUlpaKOnQSMh5QWCGEiA7Lsrh48SK0Wi20Wi2++OILzJs3Dw0NDXjyySfx2GOP0YrKKLAsi97eXhgMBrS1taG/vx9RUVGYM2eOqO6mByKupkLoibUviKElssVigU6nEzz4MQyDRx99FPv27cOxY8cEbYxACBkahRVCiKixLIsXX3wRv/zlL7Fw4UKcOXMGcrkcKpUKKpWKtoKNgsFgwMmTJ7Fo0SK43W7+bnpCQgJ/Nz0YzqoRChdUhN6qJAR/tETmuqgtXLhQ0FUNhmHw5JNPoqCgAKWlpVi4cKFg1yaEXB6FFUKIqL3wwgt4/vnnsWfPHlxzzTUwGAwoLCyERqPB8ePHkZKSApVKBbVajUWLFlFw+Q6tra04ffo0UlNTB538bbVa+W1Avb29iIuL4++m0+Grl9fR0YGqqirBi7/9YaiWyFKpFElJSV5ricwFFaGbE7Asi1/96lf497//jdLSUixZskSwaw9XQ0MDfvOb3+Do0aNob29HcnIyfvCDH+Cpp56imwskqFFYIYSIEsuyePzxx/H+++/jwIEDkMlk3/r3zs5OPrgcOXIEixcvRm5uLvLy8rBs2TIKLpdoamrCuXPnIJPJrnhWhN1uh8lkgsFgGFcno48Ud0Ch0Od+iIEvWiL39PSgvLxc8GYPLMvi+eefx9tvv42jR48iJSVFsGuPxP79+/HRRx/h9ttvx8KFC1FdXY0f/ehH2LZtG1566SV/D48Qn6GwQggRHY/Hg/vuuw+HDx/GoUOHsGjRois+nisiLy4uhlarxYEDBzB79myoVCrk5eUhNTU1YM6T8JWGhgbU19dDLpeP6PRtbhuQwWBAV1cXIiMjIZVKIZFIMHXqVN8NWOSMRiNOnjwp+EnqYuSNlsi9vb0oKysT/ABNlmXxpz/9Ca+88gqOHDmC9PR0wa7tDS+++CJef/11XLhwwd9DIcRnJvp7AISQwWip/5sJRFxcHD799NNhFSuHhIQgNjYWd955J+6880709PSgpKQEWq0WGzduhEQi4beKKZXKcRVcWJbFhQsX0NTUBKVSiejo6BH991OmTMHMmTMxc+ZMuFwuPrhcuHAB4eHhfHCJjIwcNytZBoMB1dXVSE1NhUQi8fdw/G7ChAlISEhAQkICli5dyrdEPnv27LBaIvf29qK8vBxz584VPKi88sorePnll3Ho0KGACyrAN9vmrrRKSkgwoJUVQkSGlvq9y2q1Yv/+/dBoNCgpKUFsbCxyc3OhUqmwatUq0R6E5w0sy+LcuXNoa2uDUqlEZGSk13622+1GR0cHDAbDoPoFiUSC6OjooA0uXFBJS0sbVPNDvm04LZH7+vpQVlaG2bNnY/78+YKO7Y033sBvf/tb7N+/H6tWrRLs2t5y/vx5KJVKvPTSS/jRj37k7+EQ4jMUVggJALTU7x12ux2HDh2CRqPB7t27ERYWhpycHOTl5eHqq6/GxInBs9jMHbjZ0dEBhULh0y1bl9YvTJw4ka9xiY2NDZrg0tbWhtra2m81JyDDw7VENhqN6OnpQWRkJKxWK2bMmIGlS5cKNg6WZfGPf/wDTz/9NEpKSrB27VrBrj2UJ554Ai+88MIVH1NbWzvoOWppacH111+PdevW4e9//7uvh0iIX1FYISQAPP3009i/fz/Kysr8PZSg4XQ6cfToUeTn56OoqAghISHYunUr8vLycN111wX0mSMMw+DUqVOwWCxQKpWCFsUzDIPOzk5+UhoSEsK3uh1t4bUYcEElLS0NiYmJ/h5OwOMOfJw8eTIcDocgLZGBb4LKjh078Oijj2L37t1Yt26dT64zEiaTCWaz+YqPmT9/Pr8NuLW1FevWrcPq1avx3nvvBex7ipDhorBCiMjRUr/vud1uHD9+HLt27UJRURGcTieys7OhVquxfv36gGrdyzAMqqur0dfXB6VS6dexMwwDi8XCBxePx8NPSOPj4wNmCx7X7jk9PR0JCQn+Hk7As1qtKCsrQ3JyMhYuXMhvKfRlS2Tgm6Dy4Ycf4qGHHkJhYSE2bNjglZ8rpJaWFqxfvx5KpRL/+te/AuY9RMhYUFghRCC01B8YPB4PPvnkE2g0GhQUFKC3txdZWVlQq9XYsGGDqFv3ejweVFVVob+/HwqFQlQNGbiObUajEQaDAS6XC4mJiZBKpUhISBDtFryWlhacOXPmO9s9k+Gx2WwoKyvDtGnThjwXyRctkTkajQb3338/du7ciS1btoz1VxFcS0sL1q1bhzlz5uD9998fFFTGW+tsMr5QWCFEILTUH3gYhsEXX3zBBxeTyYTNmzdDpVJh8+bNXi1YHyuPx4OKigp4PB7I5XJRb2NjWRa9vb38iovdbkdCQgKkUullO0b5Q3NzM86ePUtBxUu4oCKVSrF48eLvXDHxRktkTnFxMe6991785z//QW5u7lh/Fb9477338F//9V9D/htN5Ugwo7BCiAjRUr/4MAwDnU6H/Px8aLVaNDc3Y+PGjVCpVMjKykJMTIzfxuZyuVBRUYGQkBDIZDLRrlJczsCOUX19fXzHKIlE4rfVIe4ATblcjri4OL+MIZjY7XaUlZUhKSkJS5YsGfHWroErc0ajcVgtkTl79+7F3Xffjffffx8333zzWH8VQojAKKwQIjK01C9+DMPg5MmTyM/PR0FBAc6fP48bbrgBKpUK2dnZiIuLE6wDltPphE6nw+TJk5Genh7wwfbSjlGxsbF8cAkLCxNkDI2NjairqxvxAZpkaGMNKpe6XEvk7u5uLFy4ELNmzeIfe/jwYdxxxx14++23cfvtt4/1VyGE+AGFFUJEhpb6AwvLsqitreWDS01NDa6//nqo1Wps3boViYmJPgsu/f390Ol0iIiIQGpqatBtFXQ4HPyE1GKxIDo6GhKJBFKp1Ge1QxcvXsSFCxegUCj8uloWLBwOB8rKyvgDI33xXuAC7jPPPIPCwkKkpKQgKysL8+fPxyOPPILXXnsN27ZtC5oW2oSMNxRWCCHES1iWxfnz5/ngotfrcc0110CtViM3NxdSqdRrEyaHw4Hy8nLExMRg+fLlQRdULuV0Ovng0tnZicjISD64eOsMmYaGBtTX11NQ8RIuqMTHx2PZsmWChIWLFy9i586d+Oijj1BbW4tZs2bhhz/8IW666SakpKRQYCEkAFFYIYQQH2BZFhcvXoRGo4FWq8WXX36J1atXQ6VSQaVSYcaMGaOeONlsNpSXlyMhIUGwSaCYuFwumEwmGI1GmM1mhIeH88ElMjJyVM9HfX09Ll68CIVCgejoaB+Menzp7+9HWVkZYmNjsXz5ckFfo19++SXUajWefvppTJs2DQUFBdi/fz9mzpyJvLw83HTTTVi5cmXQB3xCggWFFUII8TGWZdHS0gKtVguNRoPPPvsMCoWCDy5z584d9mSur68POp1u2B2Vgt2lZ3RMnjyZr3EZ7hkddXV1aGpqglKpRFRUlACjDm79/f0oLy9HdHS04KsZ5eXlyM3NxbPPPouHHnqIv7bNZsOBAwdQUFCA3bt3IyIiAr/85S9x3333CTY2QsjoUFghhBABsSwLg8GAgoICaDQafPzxx1ixYgUfXIY6e4JTVVUFk8mEOXPmYMGCBeM+qFxqqDM6uOAyVNMDlmVRV1eH5uZmZGRkiKoVdaByOp0oKytDVFQUVqxYIehrtLKyEtnZ2XjiiSfw6KOPXvbaLpcLx44dw9SpU3H11VcLNj5CyOhQWCGEED9hWRZmsxlFRUXQaDQ4cuQIFi9eDJVKBbVaPWiLV2lpKW677Ta88MILl23AQP4/hmHQ2dnJ17kA4INLfHw8QkJCUFdXh5aWFiiVSgoqXuB0OlFeXo6pU6dixYoVgm6zqqmpQVZWFh5++GE89dRTFOQJCSIUVgghRARYloXFYkFxcTG0Wi0OHjyIOXPmQKVSITExEc8++yx+8Ytf4KmnnvL3UAMOy7KDDhf0eDyYMmUK+vv7oVQqqUbFC7ig4o/OdKdPn0ZWVhZ+/OMf49e//jUFFUKCDIUVQggRoZ6eHuzZswd/+9vf8OmnnyI+Ph533XUX1Go1FAoFFQePEsMwqK6uRkdHByZOnAi32z3ocMFAO1BTDFwuF8rLyxEeHi54UDl37hyysrKwbds2PP/88/S+ICQI0acyIYSIUHR0NMLDw6HX6/GPf/wDUVFR0Gg02Lp1K+Li4pCbmwu1Wo2rrroq4A+CFArLsjh79iy6u7uxevVqhIeHo6+vDwaDARcuXEBNTQ0SEhIgkUiQlJR0xVPRyTdcLhd0Oh3CwsIEDyr19fXYunUrvve971FQISSI0coKIYSI0AcffIAf/ehH+OCDD6BSqfi/t9vtOHjwIDQaDfbs2YPw8HDk5ORArVbj6quvppWBy2BZFqdPn0ZHRwcyMjKGPFTSarXCYDDAaDSir68P8fHxfJ3L5MmT/TBqceOCyuTJk5Geni5oWGhsbERmZia2bNmCV199lYIKIUGMwgohhIjM3//+d/ziF7+ARqPBpk2bLvs4p9OJw4cPQ6PRoLi4GBMmTMDWrVuRl5eHa6+9llYG/hfLsqitrUVnZyeUSuWQQeVSdrudDy49PT2IiYmBVCqFRCJBWFiYAKMWN7fbDZ1Oh4kTJ0ImkwkaFlpbW7F582bccMMNePPNNymoEBLkKKwQQkTjd7/7HUpKSlBRUYHJkyfDYrH4e0iC++qrr7Bx40bs2bMH11577bD/O5fLhePHjyM/Px+FhYVwuVzYunUrVCoV1q9fjylTpvhw1OLFsixOnTqFrq6uYQeVSzkcDphMJhgMBlgsFkRHR/MrLhERET4Ytbi53W7o9XpMmDABMplM0G2I7e3tyMrKwurVq/GPf/yDtkASMg5QWCGEiMazzz6L2NhYNDc345133hmXYYVlWTQ3N2PWrFmj/hkejweffPIJH1x6e3uxZcsWqFQqbNiwYVQT9kDEsixqamrQ3d0NpVLplRURp9PJdxXr7OzE1KlT+RWX8dD+2OPxQKfT+SWomEwmbNmyBWlpadixYwdteSRknKCwQggRnffeew8PP/zwuAwr3sYwDL744gvk5+ejoKAAHR0dyMzMhEqlwubNmzF16lR/D9EnGIZBTU0Nent7oVQqfbKy5HK50NHRAYPBALPZjPDwcH7FJSoqKuha6Ho8Huj1egCAXC4XNKiYzWZkZ2dj0aJF+PDDD2mLIyHjCIUVQojoUFjxDYZhUF5ezgeXlpYWbNy4ESqVCllZWUFz3gjXnrivr89nQeVSHo+HDy4dHR2YNGkSJBIJpFIpYmJiAj64eDweVFRUgGEYKBQKQYOKxWLB1q1bMXPmTOTn51OzA0LGGQorhBDRobDiewzDoKqqig8udXV1uPHGG6FSqZCdnY3Y2NiAnGBzQcVqtUKpVPplYuvxeNDZ2clvFwsNDeVXXGJjYwOuINzj8aCyshIejwdyuVzQ7Vc9PT3Izc1FQkICCgsLx23tFSHjGYUVQohPPfHEE3jhhReu+Jja2losXbqU/zOFFWFx3bLy8/Oh1Wpx6tQprFu3Dmq1Glu3bkVCQkJABBeGYXDy5EnYbDa/BZWhxtTV1cUHF5ZlkZSUBKlUivj4eNEHF4ZhUFFRAbfbDYVCIWhQ6evrg1qtRkREBHbv3j1uaq0IIYNRWCGE+JTJZILZbL7iY+bPnz9oYklhxX9YlsX58+f54FJRUYG1a9dCpVIhNzcXUqlUlMGFWylyOBxQKBSiCCqXYlkWFouFDy5utxuJiYmQSqVISEgQXWcrhmFQWVkJp9MJhUIhaJ2IzWbDzTffDADYu3dv0NZWEUK+G4UVQojoUFgRB5Zl0dDQAI1GA61Wi6+//hqrV69Gbm4uVCoVZsyYIYrg4vF4UFVV5ZdJ9WixLIuenh4YjUYYDAb09/fzwSUxMdHvna4Ghj+lUinoc2q32/G9730P/f392LdvH6KiogS7NiFEfCisEEJEo7GxEZ2dnSguLsaLL76IEydOAAAWLlw4LtrCihnXUlmr1UKr1eKzzz6DUqmESqWCSqXCnDlz/BJcuHoKl8sVMEHlUizLoq+vj19xsdlsiI+Ph1QqRVJSkuC/E7edzm63Cx5U+vv7cfvtt6OrqwsHDx5ETEyMYNcmhIgThRVCiGjcfffdeP/997/196WlpVi3bp3wAyJDYlkW7e3tKCgogEajwccff4y0tDQ+uCxcuFCQ4MJ1qOIKvwMxqAzFarXyKy59fX2Ii4vjC/R9XWDuz7ofp9OJbdu2obW1FYcOHUJ8fLxg1yaEiBeFFUIIIaPGsiw6OjpQVFQEjUaDo0ePYsmSJXxwWbZsmU+Cy8BWukJ3qBKS3W7nV1y6u7sRExPDBxdvF5z7s5Oay+XCf/3Xf6Gurg5HjhxBYmKiYNcmhIgbhRVCCCFewRWQFxcXQ6PR4NChQ5g7dy5UKhXUajVWrFjhle5XbrcbFRUVAACZTBa0QeVS/f39fHDp6upCVFQUH1zGWoDOsiyqq6vR29uLjIwMQYOK2+3Gj3/8Y1RVVeHYsWOQSCSCXXukcnNzUVFRAaPRiLi4OGzYsAEvvPACkpOT/T00QoIWhRVCCCE+0dPTgz179kCj0WD//v2YPn06cnNzkZeXB7lcPqrg4na7odfrMWHCBMhkMtF10BKK0+mEyWSC0WiE2WzG1KlT+UMop06dOqLVLJZlUVNTg56eHsEO0eR4PB789Kc/xVdffYVjx45h+vTpgl17NP7yl79gzZo1mD59OlpaWvDII48AAD777DM/j4yQ4EVhhRDCO3XqFIxGI9WHEK/r6+vDvn37oNFosHfvXsTHxyMnJwd5eXlYuXLlsEKH2+2GTqdDaGjouA4ql3K5XOjo6IDRaERHRwfCwsL4FZfo6OgrBheWZXHq1ClYLBZkZGQIGlQYhsGDDz6Ijz/+GKWlpZg1a5Zg1/aW4uJiqNVq9Pf3B03NFCFiQ2GFEAKWZRESEoKDBw8iMzMTnZ2diImJEUVbWhJ87HY7Dhw4AK1Wi927dyMiIgK5ublQq9VYs2bNkNu6Ojo68PrrryM7Oxvp6ekUVC7D4/HwwcVkMmHSpEl8cImNjR30nuYOA+3s7ERGRgbCwsIEGyfDMHjkkUdw4MABlJaWYu7cuYJd21s6Oztx//33o6WlBZ988om/h0NI0KKwQgjhnT59Gnl5edi+fTs2bNiAL774An/4wx8we/Zs/PWvf6XwQrzO4XDgyJEj0Gq1KCoqQmhoKL/isnbtWkyaNAkmkwmbN29GQkICSkpKRHngoxgxDAOz2cwHl5CQkEHB5ezZszCbzX4JKk8++SQKCgpw7NgxLFiwQLBre8Pjjz+OV199FTabDatXr8aePXuQkJDg72ERErQorBBCAHxzRzY0NBRyuRybNm0CwzAoKCjA+vXrcc8992DNmjVgGAYMw4ybgmYiLJfLhWPHjkGj0aCwsBButxsbNmzAiRMnMHfuXBQXF3u9A9Z4wTAMurq6+AJ9t9uNkJAQLFmyBNOnT/dK44PhjuNXv/oVPvjgA5SWlmLJkiWCXPdKnnjiCbzwwgtXfExtbS2WLl0K4JtVvs7OTly8eBHPPfccYmJisGfPHrqZQ4iPUFghhPCsViuuu+46NDc3Y/Xq1Xj22Wchl8sREhKClpYWzJgxw99DJOOE2+1GSUkJ7r33XvT19WHKlCnYunUrVCoVbrzxRgoto8SyLM6cOQODwYDExER0dnbC7XYjMTEREokEiYmJPttix7Isfv/73+Pvf/87SktLsXz5cp9cZ6RMJhPMZvMVHzN//vwhV/Sam5sxa9YsfPbZZ1izZo2vhkjIuEZhhZBxjKtVAYB//vOfKCwsRGFhIWQyGXQ6Hf84t9uNW2+9FXq9Ho899hh+8pOfCHYnloxPRqMRGzZswJIlS7Bjxw6Ul5cjPz8fhYWFMJvN2Lx5M9RqNTZt2jTmtr3jBcuyOHv2LAwGAzIyMhAREQGWZdHT08OvuDgcjkHBxVtF4yzL4qWXXsL27dtx9OhRpKWleeXn+ltjYyPmzJlDB9cS4kMUVggZ57788ks8+eSTaGtrwy9+8Qs0NjaivLwc77//PpKSkgB8sz2ntrYWH374IcxmM958800/j5oEM4PBgBtuuAFpaWnYsWPHoG2HDMOgrKwM+fn5KCgoQGtrKzZu3Ai1Wo3MzExER0f7ceTixbIszp07h/b2dj6oDPUYq9UKg8EAo9EIq9WKhIQESCQSJCUljbpWiGVZvPLKK3jxxRdx6NAhKJXKsf46fvHll1/i66+/xtq1axEXF4e6ujo888wzMBgMqKmpEbSTGiHjCYUVQsax5uZm5OXlYcWKFXj22Wcxd+5cnDx5Etdccw0qKysxb948MAyDCRMmoK2tDX/4wx9w9dVX47bbbuP/nhBvamtrww033ICMjAy8++67V6yPYhgGlZWV0Gg00Gq1uHDhAjZs2ACVSoXs7GzqaPe/WJbF+fPn0draioyMjGGvRFmtVn7Fpbe3F3FxcXyB/nAn5izL4o033sBvf/tb7N+/H6tWrRrLr+JXJ0+exEMPPYTKykpYrVZMnz4dmZmZePrpp2mLLCE+RGGFEAKXy8Vv9zhz5gyUSiV27tyJLVu28I/58ssv8cc//hF/+9vfIJVK/TXUoPHaa6/hxRdfRHt7O9LT07F9+3ZcddVV/h6W3z3yyCPo6OjAO++8M6LaCe68kPz8fGi1WtTW1mL9+vVQq9XIzs5GQkLCuA0udXV1aG5uHlFQuZTdbofJZILBYEB3dzdiYmL44HK5+iGWZfHOO+/gmWeewd69e3HNNdeM5dcghIxTFFYIGceGWh3p7+/Hjh07EBkZif/zf/4PgG8mKv/+97+h0+nwt7/9zR9DDSofffQR7rzzTrzxxhtYtWoVXn75ZezatQtnzpyBRCLx9/D8yuVyITQ0dEyrdtyWJy64VFZW4tprr4VKpUJubi4kEsm4CS5cUFEqlYiMjPTKz+zv7+dXXLq6uhAZGYmGhgYsX76cr0VhWRY7duzAY489huLiYqrnIISMGoUVQsh3slqtePzxx7Fy5UrcddddtAVsjFatWoWVK1fi1VdfBfBNaJw1axZ+/vOf44knnvDz6IILy7Kor6/nt4qVlZVhzZo1yM3NhUqlQnJyctAGlwsXLqCxsREZGRleCyqXcrlcMJlMePTRR7Fnzx7MnDmTPxPnr3/9K4qKinDjjTf65NqEkPGBwgohZBCWZcEwDEJDQ8GyLLZv384fxvfBBx/wjwnWCZ6vOZ1OREREID8/H2q1mv/7u+66CxaLBUVFRf4bXJBjWRZNTU3QarUoKCjAZ599BqVSCZVKBbVajdmzZwfN67q+vh4XL16EUqlEVFSUINfs7OyERqPB22+/jZqaGiQnJ2Pbtm246aabsHLlyqB5bgkhwqJbo4SQQUJCQvhaAavVisbGRjz33HP48MMP8etf/xo2m40mHWPQ0dEBj8fzrbofqVSK9vZ2P41qfAgJCcHs2bPx8MMP49ixY7h48SK2bduGw4cPIy0tDddddx3+9Kc/4fz58wjk+3gNDQ1oaGiAQqEQLKgAQHx8PKRSKRoaGrBz5068+uqraGlpwaZNmzBnzhw8/PDDOHHiBDwej2BjIoQEPgorhJDLioyMxEsvvYSzZ8/i66+/RnJyMlwul7+HRciYhYSEIDk5GQ888AAOHz6M1tZW/OQnP8Gnn36KjIwMrFmzBn/4wx9QW1sbUMHl4sWLqK+vh1KpFLyN8969e3Hvvffi/fffx6233oq8vDzs2LEDRqMRb775Jvr6+pCXl4cZM2bg9ddfF3RshJDARdvACCGXNXBLGPEO2gYmbizLoqurC8XFxdBoNDh06BDmz5/PbxVLSUkRbb1WY2Mj6urqoFAoEBMTI+i1Dx8+jDvuuAN///vf+cYcQ3G73Thx4gTCwsLoxHdCyLBQWCGEDAvVqXjPqlWrcNVVV2H79u0Avimwnz17Nn72s59Rgb3IdHd3Y8+ePdBoNDhw4ACSk5ORm5uLvLw8yGQy0QSXpqYmnD9/HnK5HLGxsYJe+/jx47j11lvxt7/9Ddu2baPPCUKIV1FYIYQQgX300Ue466678Oabb+Kqq67Cyy+/jJ07d+L06dN0ho2I9fX1Ye/evdBoNNi3bx8SEhKQk5ODvLw8rFy50m/Bpbm5GWfPnoVCoRA8qHzyySe45ZZb8Je//AX33HMPBRVCiNdRWCGEED949dVX+UMhZTIZXnnllYA+3Xu8sdlsOHDgALRaLfbs2YOpU6ciNzcXarUaa9asEWzrZEtLC86cOQO5XI64uDhBrsn58ssvoVar8fzzz+P++++noEII8QkKK4QQQsgYOBwOHD58GFqtFkVFRZg0aRJycnKgVquxdu1aTJo0ySfXbW1txenTpyGTyRAfH++Ta1xOeXk5cnNz8atf/QoPPvggBRVCiM9QWCGEEEK8xOVy4dixY8jPz0dhYSE8Hg+2bt0KtVqNdevWYfLkyV65TltbG2pra/0SVCorK5GdnY3/+Z//wSOPPEJBhRDiUxRWCCGEEB9wu9345JNPsGvXLhQWFsJms2HLli1QqVTYsGEDwsLCRvVzuaCSnp6OhIQEL4/6ympqapCVlYWHH34YTz31FAUVQojPUVghhBBCfMzj8eDzzz/nV1y6urqwefNmqNVqbNq0CREREcP6Oe3t7aipqUF6ejoSExN9POrBTp8+jaysLNx333147rnnKKgQQgRBYYUQQggREMMw+Prrr5Gfn4+CggK0t7dj48aNUKvVyMzMvOyp8x999BFCQ0Nx/fXXIykpSdAxnzt3DllZWdi2bRuef/550bRsJoQEPworhBBCiJ8wDIOKigpoNBpotVo0NDRgw4YNUKlU2LJlC2JiYhASEoJ//etfePDBB/H222/j5ptvFnSM9fX1yMzMxC233II//elPFFQIIYKisEIIIYSIAMuyqKmpQX5+PrRaLc6cOYP169dj2rRp+PDDD/HXv/4V27ZtE3RMjY2N2Lx5M7Zu3Yrt27dTUCGECI7CCiGEECIyLMvi7Nmz+P3vf49//etfAIDrr78earUaOTk5kEgkPq8ZaW1txebNm3HjjTfijTfeoKBCCPEL+uQhhBBCRCYkJAQNDQ3QaDT44IMPcPbsWWRmZuI///kPFi9ejKysLLz++utoaWmBL+45tre3Izs7G9deey1ef/11CiqEEL+hlRVCCCFEZA4fPgy1Wo23334bt99+O//3LMuiqakJWq0WWq0Wn3/+OTIyMqBSqaBSqTB79uwxr7gYjUZs2bIFMpkM//znPzFx4sSx/jqEEDJqFFYIIYQQESktLUVubi5ef/11/OAHP7js41iWRVtbGwoKCqDRaHDixAmkp6dDrVZDpVJh/vz5Iw4uZrMZ2dnZWLx4Mf7zn/9g0qRJY/11CCFkTCisEEIIEczHH3+MF198EeXl5fxEW61W+3tYotHX14cFCxbgj3/8I+66665h/3csy8JkMqGwsBAajQalpaVYtmwZH1yWLFnyncHFYrFg69atmDVrFnbt2oXJkyeP9dchhJAxo7BCCCFEMPv27cOnn34KpVKJm266icLKEAwGA6RS6aj/e5Zl0dXVhaKiImg0Ghw+fBgLFixAbm4u8vLysHz58m/VoPT09CA3NxeJiYkoKCjAlClTxvprEEKIV1BYIYQQ4hchISEUVgTQ3d2N3bt3Q6vVYv/+/ZgxYwbUajXUajXS09Nhs9mgVqsRERGB3bt3Izw83N9DJoQQHrX3IIQQQoJYTEwMfvCDH0Cr1cJgMOC3v/0tGhsbkZmZiZSUFCiVSoSGhqKoqCgggkp/fz9kMhlCQkJQUVHh7+EQQnyMwgohhBAyTkRFReG2227DRx99BIPBgN/97neIiYnBnj17MHXqVH8Pb1gee+wxJCcn+3sYhBCBUFghhBBCxqGIiAj84Ac/QHV1NWJiYvw9nGHZt28fDh48iJdeesnfQyGECISapxNCCCFE9AwGA370ox+hsLAQERER/h4OIUQgtLJCCCGEEFFjWRZ33303fvKTnyAjI8PfwyGECIjCCiGEEMH09fWhoqKCL4yur69HRUUFGhsb/Tsw4hdPPPEEQkJCrvi/06dPY/v27ejt7cX//M//+HvIhBCBUetiQgghgjl27BjWr1//rb+/66678N577wk/IOJXJpMJZrP5io+ZP38+vve972H37t2DDrb0eDwIDQ3F97//fbz//vu+HiohxE8orBBCCCFE1BobG9HT08P/ubW1FZs3b0Z+fj5WrVqFmTNn+nF0hBBfogJ7QgghhIja7NmzB/05MjISALBgwQIKKoQEOapZIYQQQgghhIgSbQMjhBBCCCGEiBKtrBBCCCGEEEJEicIKIYQQQgghRJQorBBCCCGEEEJEicIKIYQQQgghRJQorBBCCCGEEEJEicIKIYQQQgghRJQorBBCCCGEEEJEicIKIYQQIpDnn38eK1euRFRUFCQSCdRqNc6cOePvYRFCiGhRWCGEEEIEcvz4cTzwwAP44osvcOjQIbhcLmzatAlWq9XfQyOEEFGiE+wJIYQQPzGZTJBIJDh+/Diuu+46fw+HEEJEh1ZWCCGEED/p7u4GAMTHx/t5JIQQIk60skIIIYT4AcMwyM3NhcViwSeffOLv4RBCiChN9PcACCGEkPHogQceQHV1NQUVQgi5AgorhBBCiMB+9rOfYc+ePfj4448xc+ZMfw+HEEJEi8IKIYQQIhCWZfHzn/8cBQUFOHbsGObNm+fvIRFCiKhRWCGEEEIE8sADD+CDDz5AUVERoqKi0N7eDgCIiYlBeHi4n0dHCCHiQwX2hBBCiEBCQkKG/Pt3330Xd999t7CDIYSQAEArK4QQQohA6P4gIYSMDJ2zQgghhBBCCBElCiuEEEIIIYQQUaKwQgghhBBCCBElCiuEEEIIIYQQUaKwQgghhBBCCBElCiuEEEIIIYQQUaKwQgghhBBCCBElCiuEEEIIIYQQUaKwQgghhBBCCBElCiuEEEIIIYQQUaKwQgghhBBCCBElCiuEEEIIIYQQUaKwQgghhBBCCBElCiuEEEIIIYQQUaKwQgghhBBCCBElCiuEEEIIIYQQUaKwQgghhBBCCBElCiuEEEIIIYQQUaKwQgghhBBCCBElCiuEEEIIIYQQUaKwQgghhBBCCBElCiuEEEIIIYQQUaKwQgghhBBCCBElCiuEEEIIIYQQUaKwQgghhBBCCBElCiuEEEIIIYQQUaKwQgghhBBCCBElCiuEEEIIIYQQUaKwQgghhBBCCBElCiuEEEIIIYQQUaKwQgghhBBCCBElCiuEEEIIIYQQUfp/5Bm/dWqd9RMAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", + "ax = plt.axes(projection=\"3d\")\n", + "\n", + "ax.scatter(\n", + " np.log(X_approx.atoms[0].flatten()),\n", + " np.log(X_approx.atoms[1].flatten()),\n", + " np.log(X_approx.atoms[2].flatten()),\n", + " color=\"red\",\n", + ")\n", + "\n", + "ax.set_xlabel(\"$x_1$\")\n", + "ax.set_ylabel(\"$x_2$\")\n", + "ax.set_zlabel(\"$x_3$\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We now try discretizing the distribution with the same decomposition method but a truncation at finite endpoints. In this example, the underlying standard Normal distribution is truncated to $[-3,\\,3]$, such that the marginal CDFs of each of the random variables in the correlated distribution range from 0.0015 to 0.9985 in the range specified." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: total: 31.2 ms\n", + "Wall time: 185 ms\n" + ] + }, + { + "data": { + "text/plain": [ + "array([0.89439444, 0.95068046, 0.88488625])" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%time\n", + "N = 10\n", + "\n", + "X_approx2 = X._approx_equiprobable(N, tail_bound=0.0015, endpoints=True)\n", + "\n", + "X_approx2.expected()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", + "ax = plt.axes(projection=\"3d\")\n", + "\n", + "ax.scatter(\n", + " np.log(X_approx2.atoms[0].flatten()),\n", + " np.log(X_approx2.atoms[1].flatten()),\n", + " np.log(X_approx2.atoms[2].flatten()),\n", + " color=\"red\",\n", + ")\n", + "\n", + "ax.set_xlabel(\"$x_1$\")\n", + "ax.set_ylabel(\"$x_2$\")\n", + "ax.set_zlabel(\"$x_3$\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We now attempt an approximation of the same distribution using the eigendecomposition method instead. Note that the atoms are similarly distributed, though they have been rotated to reflect the alternate construction. Another factor is that this approach is noticeably slower than the Cholesky decomposition due to the additional computations." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: total: 46.9 ms\n", + "Wall time: 277 ms\n" + ] + }, + { + "data": { + "text/plain": [ + "array([1., 1., 1.])" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%time\n", + "N = 10\n", + "\n", + "X_approx3 = X._approx_equiprobable(N, decomp=\"eig\")\n", + "\n", + "X_approx3.expected()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", + "ax = plt.axes(projection=\"3d\")\n", + "\n", + "ax.scatter(\n", + " np.log(X_approx3.atoms[0].flatten()),\n", + " np.log(X_approx3.atoms[1].flatten()),\n", + " np.log(X_approx3.atoms[2].flatten()),\n", + " color=\"red\",\n", + ")\n", + "\n", + "ax.set_xlabel(\"$x_1$\")\n", + "ax.set_ylabel(\"$x_2$\")\n", + "ax.set_zlabel(\"$x_3$\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we test a bivariate distribution. One purpose of this test is to examine the approximate CDF values of the discretized distribution. The other is to compare the output from both constructions with the analytical CDF." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "Σ = np.array([[3.0, 1.0], [1.0, 2.0]])\n", + "μ = -np.diag(Σ) / 2 # Create mean-one lognormal\n", + "\n", + "X = HARK.distributions.MVLogNormal(mu=μ, Sigma=Σ)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([1., 1.])" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "N = 10\n", + "\n", + "X_approx = X._approx_equiprobable(N)\n", + "X_approx.expected()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note that the plots of the two discretizations closely match the true CDF, showing that the algorithm is working well." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "M = 150\n", + "\n", + "σ_1, σ_2 = np.sqrt(np.diag(Σ))\n", + "\n", + "x = np.linspace(-3 * σ_1, 3 * σ_1, M)\n", + "y = np.linspace(-3 * σ_2, 3 * σ_2, M)\n", + "\n", + "x, y = np.meshgrid(x, y)\n", + "xf = x.flatten()\n", + "yf = y.flatten()\n", + "xy = np.stack([xf, yf], axis=1)\n", + "exy = np.exp(μ + xy)\n", + "\n", + "z = X._cdf(exy).reshape(M, M)\n", + "\n", + "cdf_approx = np.array(\n", + " [\n", + " [np.sum(X_approx.pmv.reshape(N, N)[0:j, 0:i]) for i in range(1, N + 1)]\n", + " for j in range(1, N + 1)\n", + " ]\n", + ")\n", + "\n", + "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", + "ax = plt.axes(projection=\"3d\")\n", + "\n", + "ax.scatter(\n", + " np.log(X_approx.atoms[0].flatten()),\n", + " np.log(X_approx.atoms[1].flatten()),\n", + " cdf_approx.flatten(),\n", + " color=\"red\",\n", + ")\n", + "ax.plot_surface(μ[0] + x, μ[1] + y, z, alpha=0.6, cmap=cm.ocean)\n", + "\n", + "ax.set_xlabel(\"$x_1$\")\n", + "ax.set_ylabel(\"$x_2$\")\n", + "ax.set_zlabel(\"CDF\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Looking at the approximation using the sqaure root or eigendecomposition, note that the result is a different (although not much worse) estimation of the true CDF, despite the expectation of the discrete approximation remaining unchanged." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([1., 1.])" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "N = 10\n", + "\n", + "X_approx2 = X._approx_equiprobable(N, decomp=\"sqrt\")\n", + "X_approx2.expected()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "M = 150\n", + "\n", + "σ_1, σ_2 = np.sqrt(np.diag(Σ))\n", + "\n", + "x = np.linspace(-3 * σ_1, 3 * σ_1, M)\n", + "y = np.linspace(-3 * σ_2, 3 * σ_2, M)\n", + "\n", + "x, y = np.meshgrid(x, y)\n", + "xf = x.flatten()\n", + "yf = y.flatten()\n", + "xy = np.stack([xf, yf], axis=1)\n", + "exy = np.exp(μ + xy)\n", + "\n", + "z = X._cdf(exy).reshape(M, M)\n", + "\n", + "cdf_approx = np.zeros(N**2)\n", + "\n", + "for i in range(N**2):\n", + " atom = X_approx2.atoms[:, i]\n", + " for j in range(N**2):\n", + " if np.all(X_approx2.atoms[:, i] > X_approx2.atoms[:, j]):\n", + " cdf_approx[i] += X_approx2.pmv[j]\n", + "\n", + "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", + "ax = plt.axes(projection=\"3d\")\n", + "\n", + "ax.scatter(\n", + " np.log(X_approx2.atoms[0].flatten()),\n", + " np.log(X_approx2.atoms[1].flatten()),\n", + " cdf_approx.flatten(),\n", + " color=\"red\",\n", + ")\n", + "ax.plot_surface(μ[0] + x, μ[1] + y, z, alpha=0.6, cmap=cm.ocean)\n", + "\n", + "ax.set_xlabel(\"$x_1$\")\n", + "ax.set_ylabel(\"$x_2$\")\n", + "ax.set_zlabel(\"CDF\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, we can add see how the CDF is approximated with the tail points functionality enabled. As it happens, the curvature at the tails is approximated better in this manner." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0.89439444, 0.95068046])" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "N = 10\n", + "\n", + "X_approx3 = X._approx_equiprobable(N, tail_bound=0.0015, endpoints=True)\n", + "X_approx3.expected()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "M = 150\n", + "\n", + "σ_1, σ_2 = np.sqrt(np.diag(Σ))\n", + "\n", + "x = np.linspace(-3 * σ_1, 3 * σ_1, M)\n", + "y = np.linspace(-3 * σ_2, 3 * σ_2, M)\n", + "\n", + "x, y = np.meshgrid(x, y)\n", + "xf = x.flatten()\n", + "yf = y.flatten()\n", + "xy = np.stack([xf, yf], axis=1)\n", + "exy = np.exp(μ + xy)\n", + "\n", + "z = X._cdf(exy).reshape(M, M)\n", + "\n", + "cdf_approx = np.array(\n", + " [\n", + " [np.sum(X_approx3.pmv.reshape(12, 12)[0:j, 0:i]) for i in range(1, N + 3)]\n", + " for j in range(1, N + 3)\n", + " ]\n", + ")\n", + "\n", + "fig = plt.figure(figsize=(12, 8), constrained_layout=True)\n", + "ax = plt.axes(projection=\"3d\")\n", + "\n", + "ax.scatter(\n", + " np.log(X_approx3.atoms[0].flatten()),\n", + " np.log(X_approx3.atoms[1].flatten()),\n", + " cdf_approx.flatten(),\n", + " color=\"red\",\n", + ")\n", + "ax.plot_surface(μ[0] + x, μ[1] + y, z, alpha=0.6, cmap=cm.ocean)\n", + "\n", + "ax.set_xlabel(\"$x_1$\")\n", + "ax.set_ylabel(\"$x_2$\")\n", + "ax.set_zlabel(\"CDF\")\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 4 } diff --git a/examples/Distributions/ExpectedValue.ipynb b/examples/Distributions/ExpectedValue.ipynb index d58743069..d5fabafa1 100644 --- a/examples/Distributions/ExpectedValue.ipynb +++ b/examples/Distributions/ExpectedValue.ipynb @@ -1,609 +1,609 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Demonstrations and Timings of HARK.expected\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, we import the relevant libraries.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:29:18.788837Z", - "iopub.status.busy": "2024-07-11T15:29:18.788656Z", - "iopub.status.idle": "2024-07-11T15:29:19.321764Z", - "shell.execute_reply": "2024-07-11T15:29:19.321241Z" - }, - "tags": [] - }, - "outputs": [], - "source": [ - "from time import time\n", - "\n", - "import numpy as np\n", - "\n", - "from HARK.distributions import (\n", - " MeanOneLogNormal,\n", - " Normal,\n", - " calc_expectation,\n", - " combine_indep_dstns,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Next, we define discrete distributions as approximations of continuous distributions.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:29:19.323728Z", - "iopub.status.busy": "2024-07-11T15:29:19.323403Z", - "iopub.status.idle": "2024-07-11T15:29:19.333036Z", - "shell.execute_reply": "2024-07-11T15:29:19.332500Z" - }, - "tags": [] - }, - "outputs": [], - "source": [ - "dd_0_1_20 = Normal().discretize(20)\n", - "dd_1_1_40 = Normal(mu=1).discretize(40)\n", - "dd_10_10_100 = Normal(mu=10, sigma=10).discretize(100)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### The **new** `DiscreteDistribution.expected()` method\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "There are two ways to get the expectation of a distribution. The first is to use the **new** `expected()` method of the distribution shown below.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:29:19.335074Z", - "iopub.status.busy": "2024-07-11T15:29:19.334783Z", - "iopub.status.idle": "2024-07-11T15:29:31.778443Z", - "shell.execute_reply": "2024-07-11T15:29:31.777953Z" - }, - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1.53 µs ± 10.4 ns per loop (mean ± std. dev. of 7 runs, 1,000,000 loops each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "ce1 = dd_0_1_20.expected()\n", - "ce2 = dd_1_1_40.expected()\n", - "ce3 = dd_10_10_100.expected()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The second is to use `HARK.distributions.calc_expectation()`. Comparing the timings, the first method is significantly faster.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:29:31.780122Z", - "iopub.status.busy": "2024-07-11T15:29:31.779855Z", - "iopub.status.idle": "2024-07-11T15:29:39.059028Z", - "shell.execute_reply": "2024-07-11T15:29:39.058519Z" - }, - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "89.5 µs ± 985 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "ce1 = calc_expectation(dd_0_1_20)\n", - "ce2 = calc_expectation(dd_1_1_40)\n", - "ce3 = calc_expectation(dd_10_10_100)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### The Expected Value of a function of a random variable\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Both of these methods allow us to calculate the expected value of a function of the distribution. Using the first method, which is the distribution's own method, we only need to provide the function.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:29:39.060781Z", - "iopub.status.busy": "2024-07-11T15:29:39.060524Z", - "iopub.status.idle": "2024-07-11T15:29:42.915305Z", - "shell.execute_reply": "2024-07-11T15:29:42.914709Z" - }, - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "4.75 µs ± 47.3 ns per loop (mean ± std. dev. of 7 runs, 100,000 loops each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "ce4 = dd_0_1_20.expected(lambda x: 2**x)\n", - "ce5 = dd_1_1_40.expected(lambda x: 2 * x)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Using `HARK.distributions.calc_expectation()`, we first provide the distribution and then the function.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:29:42.917103Z", - "iopub.status.busy": "2024-07-11T15:29:42.916828Z", - "iopub.status.idle": "2024-07-11T15:29:52.328154Z", - "shell.execute_reply": "2024-07-11T15:29:52.327637Z" - }, - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "116 µs ± 1.51 µs per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "ce4 = calc_expectation(dd_0_1_20, lambda x: 2**x)\n", - "ce5 = calc_expectation(dd_1_1_40, lambda x: 2 * x)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### The expected value of a function with additional arguments\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For both methods, we can also provide a number of arguments to the function `args`, which are passed to the function and gets called as `func(dstn,*args)`.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:29:52.329834Z", - "iopub.status.busy": "2024-07-11T15:29:52.329585Z", - "iopub.status.idle": "2024-07-11T15:30:01.893270Z", - "shell.execute_reply": "2024-07-11T15:30:01.892739Z" - }, - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "11.8 µs ± 165 ns per loop (mean ± std. dev. of 7 runs, 100,000 loops each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "ce6 = dd_10_10_100.expected(lambda x, y: 2 * x + y, 20)\n", - "ce7 = dd_0_1_20.expected(lambda x, y: x + y, np.hstack([0, 1, 2, 3, 4, 5]))" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:01.894939Z", - "iopub.status.busy": "2024-07-11T15:30:01.894674Z", - "iopub.status.idle": "2024-07-11T15:30:04.417377Z", - "shell.execute_reply": "2024-07-11T15:30:04.416848Z" - }, - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "311 µs ± 2.32 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "ce6 = calc_expectation(dd_10_10_100, lambda x, y: 2 * x + y, 20)\n", - "ce7 = calc_expectation(dd_0_1_20, lambda x, y: x + y, np.hstack([0, 1, 2, 3, 4, 5]))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### The expected value of a function in `HARK`\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For a more practical demonstration of these methods as they would be used in `HARK`, we can create a distcrete distribution of shocks to income `IncShkDstn`. Given an array of liquid assets `aGrid` and an interest rate `R`, we can calculate the expected value of next period's cash on hand as the function `m_next = R * aGrid / perm_shk + tran_shk`. Below we see how this is done. Notice that the arguments to the function can be multidimensional.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:04.419068Z", - "iopub.status.busy": "2024-07-11T15:30:04.418811Z", - "iopub.status.idle": "2024-07-11T15:30:04.428399Z", - "shell.execute_reply": "2024-07-11T15:30:04.427964Z" - }, - "tags": [] - }, - "outputs": [], - "source": [ - "PermShkDstn = MeanOneLogNormal().discretize(200)\n", - "TranShkDstn = MeanOneLogNormal().discretize(200)\n", - "IncShkDstn = combine_indep_dstns(PermShkDstn, TranShkDstn)\n", - "aGrid = np.linspace(0, 20, 100) # aNrm grid\n", - "R = 1.05 # interest rate\n", - "\n", - "\n", - "def m_next(x, aGrid, R):\n", - " return R * aGrid / x[0] + x[1]" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:04.429902Z", - "iopub.status.busy": "2024-07-11T15:30:04.429661Z", - "iopub.status.idle": "2024-07-11T15:30:06.613165Z", - "shell.execute_reply": "2024-07-11T15:30:06.612782Z" - }, - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "27.1 ms ± 2.38 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "ce8 = IncShkDstn.expected(m_next, aGrid, R)\n", - "ce9 = IncShkDstn.expected(m_next, aGrid.reshape((10, 10)), R)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:06.615612Z", - "iopub.status.busy": "2024-07-11T15:30:06.615025Z", - "iopub.status.idle": "2024-07-11T15:30:09.410284Z", - "shell.execute_reply": "2024-07-11T15:30:09.409700Z" - }, - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "346 ms ± 2.32 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "ce8 = calc_expectation(IncShkDstn, m_next, aGrid, R)\n", - "ce9 = calc_expectation(IncShkDstn, m_next, aGrid.reshape((10, 10)), R)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Time Comparison of the two methods\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "As a final comparision of these two methods, we can see how the time difference is affected by the number of points in the distribution.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:09.412223Z", - "iopub.status.busy": "2024-07-11T15:30:09.412048Z", - "iopub.status.idle": "2024-07-11T15:30:27.240008Z", - "shell.execute_reply": "2024-07-11T15:30:27.237214Z" - }, - "tags": [] - }, - "outputs": [], - "source": [ - "size = np.arange(1, 11) * 100\n", - "\n", - "t_self = []\n", - "t_dist = []\n", - "\n", - "for n in size:\n", - " PermShkDstn = MeanOneLogNormal().discretize(n)\n", - " TranShkDstn = MeanOneLogNormal().discretize(n)\n", - " IncShkDstn = combine_indep_dstns(PermShkDstn, TranShkDstn)\n", - "\n", - " a_grid = np.linspace(0, 20, 100).reshape((10, 10))\n", - " R = 1.05\n", - "\n", - " start_self = time()\n", - " ce_self = IncShkDstn.expected(m_next, a_grid, R)\n", - " time_self = time() - start_self\n", - "\n", - " start_dist = time()\n", - " ce_dist = calc_expectation(IncShkDstn, m_next, a_grid, R)\n", - " time_dist = time() - start_dist\n", - "\n", - " t_self.append(time_self)\n", - " t_dist.append(time_dist)" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:27.243810Z", - "iopub.status.busy": "2024-07-11T15:30:27.243635Z", - "iopub.status.idle": "2024-07-11T15:30:27.636999Z", - "shell.execute_reply": "2024-07-11T15:30:27.636445Z" - }, - "tags": [] - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "plt.plot(size, t_self, label=\"dist.ev(f)\")\n", - "plt.plot(size, t_dist, label=\"ce(dist, f)\")\n", - "plt.title(\"Time to calculate expectation of a function of shocks to income.\")\n", - "plt.ylabel(\"time (s)\")\n", - "plt.xlabel(\"size of grid: $x^2$\")\n", - "plt.legend()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Aliases for the new `expected()` method\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "There is a top-level alias for the new `expected()` method to make it clearer as a mathematical expression. The way to access it is as follows:\n", - "\n", - "`expected(func, dstn, *args)`\n" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:27.638871Z", - "iopub.status.busy": "2024-07-11T15:30:27.638525Z", - "iopub.status.idle": "2024-07-11T15:30:27.641144Z", - "shell.execute_reply": "2024-07-11T15:30:27.640676Z" - }, - "tags": [] - }, - "outputs": [], - "source": [ - "from HARK.distributions import expected" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:27.642604Z", - "iopub.status.busy": "2024-07-11T15:30:27.642379Z", - "iopub.status.idle": "2024-07-11T15:30:27.954010Z", - "shell.execute_reply": "2024-07-11T15:30:27.953437Z" - }, - "tags": [] - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 1. , 1.57585002, 2.15170003, 2.72755005, 3.30340006,\n", - " 3.87925008, 4.4551001 , 5.03095011, 5.60680013, 6.18265014,\n", - " 6.75850016, 7.33435017, 7.91020019, 8.48605021, 9.06190022,\n", - " 9.63775024, 10.21360025, 10.78945027, 11.36530029, 11.9411503 ,\n", - " 12.51700032, 13.09285033, 13.66870035, 14.24455036, 14.82040038,\n", - " 15.3962504 , 15.97210041, 16.54795043, 17.12380044, 17.69965046,\n", - " 18.27550048, 18.85135049, 19.42720051, 20.00305052, 20.57890054,\n", - " 21.15475056, 21.73060057, 22.30645059, 22.8823006 , 23.45815062,\n", - " 24.03400063, 24.60985065, 25.18570067, 25.76155068, 26.3374007 ,\n", - " 26.91325071, 27.48910073, 28.06495075, 28.64080076, 29.21665078,\n", - " 29.79250079, 30.36835081, 30.94420082, 31.52005084, 32.09590086,\n", - " 32.67175087, 33.24760089, 33.8234509 , 34.39930092, 34.97515094,\n", - " 35.55100095, 36.12685097, 36.70270098, 37.278551 , 37.85440102,\n", - " 38.43025103, 39.00610105, 39.58195106, 40.15780108, 40.73365109,\n", - " 41.30950111, 41.88535113, 42.46120114, 43.03705116, 43.61290117,\n", - " 44.18875119, 44.76460121, 45.34045122, 45.91630124, 46.49215125,\n", - " 47.06800127, 47.64385128, 48.2197013 , 48.79555132, 49.37140133,\n", - " 49.94725135, 50.52310136, 51.09895138, 51.6748014 , 52.25065141,\n", - " 52.82650143, 53.40235144, 53.97820146, 54.55405148, 55.12990149,\n", - " 55.70575151, 56.28160152, 56.85745154, 57.43330155, 58.00915157])" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "expected(func=m_next, dist=IncShkDstn, args=(aGrid, R))" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:30:27.970063Z", - "iopub.status.busy": "2024-07-11T15:30:27.966031Z", - "iopub.status.idle": "2024-07-11T15:30:27.986446Z", - "shell.execute_reply": "2024-07-11T15:30:27.986012Z" - }, - "tags": [] - }, - "outputs": [ - { - "data": { - "text/plain": [ - "3.7147215033527026" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "expected(func=lambda x: 1 / x[0] + x[1], dist=IncShkDstn)" - ] - } - ], - "metadata": { - "jupytext": { - "formats": "ipynb,py:percent" - }, - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.9" - }, - "vscode": { - "interpreter": { - "hash": "ab336f3885e19cdf99951e4b73ee65835b5095c97279903ad09e0692d3a202c7" - } - } + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Demonstrations and Timings of HARK.expected\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First, we import the relevant libraries.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:29:18.788837Z", + "iopub.status.busy": "2024-07-11T15:29:18.788656Z", + "iopub.status.idle": "2024-07-11T15:29:19.321764Z", + "shell.execute_reply": "2024-07-11T15:29:19.321241Z" }, - "nbformat": 4, - "nbformat_minor": 4 + "tags": [] + }, + "outputs": [], + "source": [ + "from time import time\n", + "\n", + "import numpy as np\n", + "\n", + "from HARK.distributions import (\n", + " MeanOneLogNormal,\n", + " Normal,\n", + " calc_expectation,\n", + " combine_indep_dstns,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next, we define discrete distributions as approximations of continuous distributions.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:29:19.323728Z", + "iopub.status.busy": "2024-07-11T15:29:19.323403Z", + "iopub.status.idle": "2024-07-11T15:29:19.333036Z", + "shell.execute_reply": "2024-07-11T15:29:19.332500Z" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "dd_0_1_20 = Normal().discretize(20)\n", + "dd_1_1_40 = Normal(mu=1).discretize(40)\n", + "dd_10_10_100 = Normal(mu=10, sigma=10).discretize(100)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### The **new** `DiscreteDistribution.expected()` method\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There are two ways to get the expectation of a distribution. The first is to use the **new** `expected()` method of the distribution shown below.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:29:19.335074Z", + "iopub.status.busy": "2024-07-11T15:29:19.334783Z", + "iopub.status.idle": "2024-07-11T15:29:31.778443Z", + "shell.execute_reply": "2024-07-11T15:29:31.777953Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.53 µs ± 10.4 ns per loop (mean ± std. dev. of 7 runs, 1,000,000 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "ce1 = dd_0_1_20.expected()\n", + "ce2 = dd_1_1_40.expected()\n", + "ce3 = dd_10_10_100.expected()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The second is to use `HARK.distributions.calc_expectation()`. Comparing the timings, the first method is significantly faster.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:29:31.780122Z", + "iopub.status.busy": "2024-07-11T15:29:31.779855Z", + "iopub.status.idle": "2024-07-11T15:29:39.059028Z", + "shell.execute_reply": "2024-07-11T15:29:39.058519Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "89.5 µs ± 985 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "ce1 = calc_expectation(dd_0_1_20)\n", + "ce2 = calc_expectation(dd_1_1_40)\n", + "ce3 = calc_expectation(dd_10_10_100)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### The Expected Value of a function of a random variable\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Both of these methods allow us to calculate the expected value of a function of the distribution. Using the first method, which is the distribution's own method, we only need to provide the function.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:29:39.060781Z", + "iopub.status.busy": "2024-07-11T15:29:39.060524Z", + "iopub.status.idle": "2024-07-11T15:29:42.915305Z", + "shell.execute_reply": "2024-07-11T15:29:42.914709Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "4.75 µs ± 47.3 ns per loop (mean ± std. dev. of 7 runs, 100,000 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "ce4 = dd_0_1_20.expected(lambda x: 2**x)\n", + "ce5 = dd_1_1_40.expected(lambda x: 2 * x)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Using `HARK.distributions.calc_expectation()`, we first provide the distribution and then the function.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:29:42.917103Z", + "iopub.status.busy": "2024-07-11T15:29:42.916828Z", + "iopub.status.idle": "2024-07-11T15:29:52.328154Z", + "shell.execute_reply": "2024-07-11T15:29:52.327637Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "116 µs ± 1.51 µs per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "ce4 = calc_expectation(dd_0_1_20, lambda x: 2**x)\n", + "ce5 = calc_expectation(dd_1_1_40, lambda x: 2 * x)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### The expected value of a function with additional arguments\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For both methods, we can also provide a number of arguments to the function `args`, which are passed to the function and gets called as `func(dstn,*args)`.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:29:52.329834Z", + "iopub.status.busy": "2024-07-11T15:29:52.329585Z", + "iopub.status.idle": "2024-07-11T15:30:01.893270Z", + "shell.execute_reply": "2024-07-11T15:30:01.892739Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "11.8 µs ± 165 ns per loop (mean ± std. dev. of 7 runs, 100,000 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "ce6 = dd_10_10_100.expected(lambda x, y: 2 * x + y, 20)\n", + "ce7 = dd_0_1_20.expected(lambda x, y: x + y, np.hstack([0, 1, 2, 3, 4, 5]))" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:01.894939Z", + "iopub.status.busy": "2024-07-11T15:30:01.894674Z", + "iopub.status.idle": "2024-07-11T15:30:04.417377Z", + "shell.execute_reply": "2024-07-11T15:30:04.416848Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "311 µs ± 2.32 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "ce6 = calc_expectation(dd_10_10_100, lambda x, y: 2 * x + y, 20)\n", + "ce7 = calc_expectation(dd_0_1_20, lambda x, y: x + y, np.hstack([0, 1, 2, 3, 4, 5]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### The expected value of a function in `HARK`\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For a more practical demonstration of these methods as they would be used in `HARK`, we can create a distcrete distribution of shocks to income `IncShkDstn`. Given an array of liquid assets `aGrid` and an interest rate `R`, we can calculate the expected value of next period's cash on hand as the function `m_next = R * aGrid / perm_shk + tran_shk`. Below we see how this is done. Notice that the arguments to the function can be multidimensional.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:04.419068Z", + "iopub.status.busy": "2024-07-11T15:30:04.418811Z", + "iopub.status.idle": "2024-07-11T15:30:04.428399Z", + "shell.execute_reply": "2024-07-11T15:30:04.427964Z" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "PermShkDstn = MeanOneLogNormal().discretize(200)\n", + "TranShkDstn = MeanOneLogNormal().discretize(200)\n", + "IncShkDstn = combine_indep_dstns(PermShkDstn, TranShkDstn)\n", + "aGrid = np.linspace(0, 20, 100) # aNrm grid\n", + "R = 1.05 # interest rate\n", + "\n", + "\n", + "def m_next(x, aGrid, R):\n", + " return R * aGrid / x[0] + x[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:04.429902Z", + "iopub.status.busy": "2024-07-11T15:30:04.429661Z", + "iopub.status.idle": "2024-07-11T15:30:06.613165Z", + "shell.execute_reply": "2024-07-11T15:30:06.612782Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "27.1 ms ± 2.38 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "ce8 = IncShkDstn.expected(m_next, aGrid, R)\n", + "ce9 = IncShkDstn.expected(m_next, aGrid.reshape((10, 10)), R)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:06.615612Z", + "iopub.status.busy": "2024-07-11T15:30:06.615025Z", + "iopub.status.idle": "2024-07-11T15:30:09.410284Z", + "shell.execute_reply": "2024-07-11T15:30:09.409700Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "346 ms ± 2.32 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "ce8 = calc_expectation(IncShkDstn, m_next, aGrid, R)\n", + "ce9 = calc_expectation(IncShkDstn, m_next, aGrid.reshape((10, 10)), R)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Time Comparison of the two methods\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As a final comparision of these two methods, we can see how the time difference is affected by the number of points in the distribution.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:09.412223Z", + "iopub.status.busy": "2024-07-11T15:30:09.412048Z", + "iopub.status.idle": "2024-07-11T15:30:27.240008Z", + "shell.execute_reply": "2024-07-11T15:30:27.237214Z" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "size = np.arange(1, 11) * 100\n", + "\n", + "t_self = []\n", + "t_dist = []\n", + "\n", + "for n in size:\n", + " PermShkDstn = MeanOneLogNormal().discretize(n)\n", + " TranShkDstn = MeanOneLogNormal().discretize(n)\n", + " IncShkDstn = combine_indep_dstns(PermShkDstn, TranShkDstn)\n", + "\n", + " a_grid = np.linspace(0, 20, 100).reshape((10, 10))\n", + " R = 1.05\n", + "\n", + " start_self = time()\n", + " ce_self = IncShkDstn.expected(m_next, a_grid, R)\n", + " time_self = time() - start_self\n", + "\n", + " start_dist = time()\n", + " ce_dist = calc_expectation(IncShkDstn, m_next, a_grid, R)\n", + " time_dist = time() - start_dist\n", + "\n", + " t_self.append(time_self)\n", + " t_dist.append(time_dist)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:27.243810Z", + "iopub.status.busy": "2024-07-11T15:30:27.243635Z", + "iopub.status.idle": "2024-07-11T15:30:27.636999Z", + "shell.execute_reply": "2024-07-11T15:30:27.636445Z" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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Ro0eWx+fn87d9+3YYGxtj5MiReuPHjRsHIQR27NihN75du3bw9vbWDfv4+ECtVr90u23fvh3Ozs7o27evbpypqSlGjhyJhIQEHDp0KM+1Z7QB27Jly0sbow8aNEivvU3Ges6oO7fv37x+9sLCwtCyZUt4enpi7969sLOz003L+M3ZtWsXkpKScvuyc1QY6xl4+fo7e/Ysbt68idGjR2dpm5exXiIjIxEaGoqBAwfC3t5eN93Hxwft27fXfQ9mNmTIEN19Y2Nj1K9fH0IIDB48WDfe1tY2y+ckL9/h+VGiGm4XhBff7BlvXnd3d4Pjnzx5AgC4evUqAOhW/IvUanW+6rl9+zYAoFq1anrjlUolKlWqpJtuyMOHDxEXF4fatWvn+BwZZ/0sWrQIN2/ehEaj0U0rV65cto/LeCO+bPmvIr+1ZcjYLgMGDMh2ntjYWL0vrBcff+nSJZQvX97g9IwGwRlmzZqFLVu2IDQ0FKtXr4ajo6PBx1WpUkVv2MrKCi4uLrouIHL7fiqIbfD3339jypQpCAkJyfIFHRsbq/dPQ25k954FgOrVq+Po0aN648zMzLKsXzs7O91nK6/Pk5vPRk6io6MxdepUrFmzJsv2zU9ozI8Xv4eArOvk+vXreOONNwrsOW/fvg1XV1dYW1vrja9Ro4Zuel5rzO55qlSpohdsc3qe3Ojduzd+/PFHDBkyBBMmTEDbtm3x+uuv480338zyPC/WnfHZz6g7t+/fvH72goKC4OTkhF27dsHKykpvmpeXF8aOHYs5c+Zg1apVaN68Obp27Yq33347z5+/DIWxnoGXr7/r168DyHm95LSOa9SogV27diExMRGWlpbZPq+NjQ3MzMzg4OCQZfzjx491w3n9Ds+rMheSjI2N8zReCAEAuv9eVq5cCWdn5yzzZd4LVdx8/fXX+Oyzz/Duu+/iyy+/hL29PYyMjDB69OgCOUU4u/9qMweewqotY56ZM2dm2zXAi19YLz6+Tp06mDNnjsHpL4bns2fP6j5058+f1/svLi+K6v10/fp1tG3bFtWrV8ecOXPg7u4OpVKJ7du3Y+7cuUVyinh2ny259OrVC8eOHcP48ePh6+sLKysraLVadOzYMd/rI6+fgZd93xQHxalGc3NzHD58GAcOHMC2bduwc+dOrF27Fm3atMHu3bv1apWr7jfeeAO//PILVq1ahf/9739Zps+ePRsDBw7Eli1bsHv3bowcORLBwcE4fvw4KlSoUKi15YVc68/Q8+amlrx+h+dV8f1lL2Yydjs7OjqiXbt2eX58dl+iFStWBACEh4ejUqVKuvGpqam4efNmjs9Vvnx5qNVqhIWF5fjc69evR+vWrfHTTz/pjY+JicmS0jPLqOdly7ezszPYiWFu/pPJbW3Zrb+M7aJWq/O1Xby9vXHu3Dm0bdv2pYcwEhMTMWjQINSsWRNNmjTBjBkz0KNHDzRo0CDLvFevXkXr1q11wwkJCYiMjETnzp316n7Z+ym32yC72v/66y+kpKTgzz//1PtPzdAu6Nwewsn8nn1xT1h4eLhu+qt6lc9Gdp48eYJ9+/Zh6tSp+Pzzz3XjM/bs5VfGf9sxMTF6hyDy+988IL1H8rvdDalYsSL27t2L+Ph4vb1Jly9f1k0vCBUrVsS///4LrVart5fjVZ/HyMgIbdu2Rdu2bTFnzhx8/fXX+PTTT3HgwIE8vRdy+/7N7Wcvw8yZM2FiYoIPPvgA1tbWeOutt7LMU6dOHdSpUweTJ0/GsWPH0LRpUyxZsgTTp0/Pdrk5/XYUxnp+mYzvrrCwsGzXe+Z1/KLLly/DwcFBby/Sq9aT2+/w/ChzbZLyKzAwEGq1Gl9//TXS0tKyTH/48GGOj894Q7wYJtq1awelUonvvvtOLx3/9NNPiI2NRZcuXbJdppGREbp3746//voLp06dyjI9Y3nGxsZZ/gtYt26drr1VdsqXL48WLVrg559/RkREhMFlA9KbNDY2Fv/++69uXGRkJDZt2pTj8vNSW3brz9/fH97e3pg1axYSEhKyLP9l26VXr164e/cufvjhhyzTnj59isTERN3wJ598goiICPzyyy+YM2cOPD09MWDAAKSkpGR57LJly/TeJ4sXL0Z6ejo6deoEIPfvp9xug+zWT8Z/YpnnjY2NxfLly7M8p6WlZa567K5fvz4cHR2xZMkSvde+Y8cOXLp0Kcf3bF68ymcjO4bWB4BX7tE444fj8OHDunGJiYn45Zdf8r3MN954A+fOnTP4OcqoP7vtbkjnzp2h0WiwcOFCvfFz586FQqHQvTdfVefOnREVFYW1a9fqxqWnp2PBggWwsrJCy5Yt87zM6OjoLOMy9hwb+vzlJLfv39x+9jIoFAosW7YMb775JgYMGIA///xTNy0uLg7p6el689epUwdGRkYvrd/S0tLgYeDCWM+5Ua9ePXh5eWHevHlZ3ncZ68XFxQW+vr745Zdf9OYJCwvD7t27df8sFoS8fIdHREToQmRucU9SLqnVaixevBjvvPMO6tWrhz59+qB8+fKIiIjAtm3b0LRp0yxfPpn5+vrC2NgY3377LWJjY6FSqdCmTRs4Ojpi4sSJmDp1Kjp27IiuXbsiPDwcixYtQoMGDV7aUebXX3+N3bt3o2XLlhg6dChq1KiByMhIrFu3DkePHoWtrS1ee+01TJs2DYMGDUKTJk1w/vx5rFq1Su+/8+x89913aNasGerVq4ehQ4fCy8sLt27dwrZt23SXQujTpw8++eQT9OjRAyNHjkRSUhIWL16MqlWrvrQhbG5r8/b2hq2tLZYsWQJra2tYWlqiUaNG8PLywo8//ohOnTqhVq1aGDRoENzc3HD37l0cOHAAarUaf/31V7bP/8477+CPP/7A+++/jwMHDqBp06bQaDS4fPky/vjjD+zatQv169fH/v37sWjRIkyZMgX16tUDACxfvhytWrXCZ599hhkzZugtNzU1FW3btkWvXr1027NZs2bo2rUrgLy9n3KzDfz9/QEAn376Kfr06QNTU1MEBQWhQ4cOUCqVCAoKwv/+9z8kJCTghx9+gKOjIyIjI/Vq9vf3x+LFizF9+nRUrlwZjo6OBttMmZqa4ttvv8WgQYPQsmVL9O3bF/fv38f8+fPh6emJMWPG5LjNc6t8+fKv9NkwRK1Wo0WLFpgxYwbS0tLg5uaG3bt34+bNm69Ua4cOHeDh4YHBgwdj/PjxMDY2xs8//6zbpvkxfvx4rF+/Hj179sS7774Lf39/REdH488//8SSJUtQt27dHD8XLwoKCkLr1q3x6aef4tatW6hbty52796NLVu2YPTo0XqNtF/F0KFDsXTpUgwcOBCnT5+Gp6cn1q9fj7///hvz5s3L0iYqN6ZNm4bDhw+jS5cuqFixIh48eIBFixahQoUKaNasWZ6WlZf3b24+e5kZGRnht99+Q/fu3dGrVy9s374dbdq0wf79+zFixAj07NkTVatWRXp6OlauXAljY+OXtjvz9/fH2rVrMXbsWDRo0ABWVlYICgoqlPWcG0ZGRli8eDGCgoLg6+uLQYMGwcXFBZcvX8aFCxewa9cuANKetU6dOiEgIACDBw/G06dPsWDBAtjY2OCLL74osHpy+x0OAP3798ehQ4fydujwlc6Nk1l+O5PMLOO0xxdPzcw4dffFU+sPHDggAgMDhY2NjTAzMxPe3t5i4MCB4tSpUy+t94cffhCVKlUSxsbGWboDWLhwoahevbowNTUVTk5OYtiwYbnuTPL27duif//+onz58kKlUolKlSqJ4cOH607jTE5OFuPGjRMuLi7C3NxcNG3aVISEhGQ5BTS7ziTDwsJEjx49hK2trTAzMxPVqlUTn332md48u3fvFrVr1xZKpVJUq1ZN/Pbbb7nuAiA3tQkhxJYtW0TNmjWFiYlJljrPnj0rXn/9dVGuXDmhUqlExYoVRa9evcS+ffteuv5SU1PFt99+K2rVqiVUKpWws7MT/v7+YurUqSI2NlbExcWJihUrinr16ul1EyGEEGPGjBFGRkYiJCRECJG1M0k7OzthZWUl+vXrZ7Bz0ty+n3KzDb788kvh5uYmjIyM9E47//PPP4WPj48wMzMTnp6e4ttvvxU///xzllPTo6KiRJcuXYS1tbUAXt6Z5Nq1a4Wfn59QqVTC3t4+x84kX5TdKfOG5OazkZcuAP777z/durSxsRE9e/YU9+7dE3hJJ5QZYKALACGEOH36tGjUqJFQKpXCw8NDzJkzJ8fOJF9k6D3/+PFjMWLECOHm5qbrJG/AgAF6fRVl97kw1DVHfHy8GDNmjHB1dRWmpqaiSpUqOXYm+aIXP7/ZuX//vhg0aJBwcHAQSqVS1KlTx2A3BbntAmDfvn2iW7duwtXVVSiVSuHq6ir69u0rrly5opsnu+/y7L7XcvP+FeLlnz1D772kpCTRsmVLYWVlJY4fPy5u3Lgh3n33XeHt7S3MzMyEvb29aN26tdi7d+9LX3tCQoJ46623hK2trYCBziRzs54Nya4LgNyuv6NHj4r27dsLa2trYWlpKXx8fLJ0D7F3717RtGlTYW5uLtRqtQgKCsq2M8kXP7vZfXe0bNlS1KpVS2/cy77DMz82r7FHIUQxailIVMKtWLECgwYNwsmTJw12y0BERCUH2yQRERERGcCQRERERGQAQxIRERGRAWyTRERERGQA9yQRERERGcCQRERERGRAmetMUqvV4t69e7C2ti6ULsyJiIio4AkhEB8fD1dX1ywX9i0sZS4k3bt375UveEdERETyuHPnTpFdFLjMhaSMrtrv3LkDtVotczVERESUG3FxcXB3dy+0S64YUuZCUsYhNrVazZBERERUwhRlUxk23CYiIiIygCGJiIiIyIAyd7gttzQaDdLS0uQug16BUqkssjMgiIio9GFIeoEQAlFRUYiJiZG7FHpFRkZG8PLyglKplLsUIiIqgRiSXpARkBwdHWFhYcG+lEqojP6wIiMj4eHhwe1IRER5xpCUiUaj0QWkcuXKyV0OvaLy5cvj3r17SE9Ph6mpqdzlEBFRCcMGG5lktEGysLCQuRIqCBmH2TQajcyVEBFRScSQZAAPzZQO3I5ERPQqGJKIiIiIDGBIIiIiIjKAIakUa9WqFUaPHg0A8PT0xLx582StJzufffYZhg4dqhsWQmDo0KGwt7eHQqFAaGgo+vTpg9mzZ8tYJRERlTU8u62MOHnyJCwtLXM1r6enJ0aPHq0LWIUpKioK8+fPx/nz53Xjdu7ciRUrVuDgwYOoVKkSHBwcMHnyZLRo0QJDhgyBjY1NoddFRET5lJ4KmJSO/um4J6mMKF++fLE8a+/HH39EkyZNULFiRd2469evw8XFBU2aNIGzszNMTExQu3ZteHt747fffpOxWiIiylHiI2BxE+D0CrkrKRDFJiR98803UCgUL917sW7dOlSvXh1mZmaoU6cOtm/fXqh1CSGQlJouy00Ikes6ExMT0b9/f1hZWcHFxSXLoanMh9uEEPjiiy/g4eEBlUoFV1dXjBw5EoB0iO727dsYM2YMFApFjmeIxcTEYMiQIShfvjzUajXatGmDc+fOAQCuXLkChUKBy5cv6z1m7ty58Pb21g2vWbMGQUFBuuGBAwfiww8/REREBBQKBTw9PXXTgoKCsGbNmlyvEyIiKkJpT4Hf+wCPrwJHZgOpiXJX9MqKxeG2kydPYunSpfDx8clxvmPHjqFv374IDg7Ga6+9htWrV6N79+44c+YMateuXSi1PU3ToObnuwpl2S9zcVogLJS520Tjx4/HoUOHsGXLFjg6OmLSpEk4c+YMfH19s8y7YcMGzJ07F2vWrEGtWrUQFRWlCzcbN25E3bp1MXToULz33ns5PmfPnj1hbm6OHTt2wMbGBkuXLkXbtm1x5coVVK1aFfXr18eqVavw5Zdf6h6zatUqvPXWWwCA6OhoXLx4EfXr19dNnz9/Pry9vbFs2TKcPHkSxsbGumkNGzbEV199hZSUFKhUqlytFyIiKgJaDbBhCPDfScDMFui3HlDmrolHcSb7nqSEhAT069cPP/zwA+zs7HKcd/78+ejYsSPGjx+PGjVq4Msvv0S9evWwcOHCIqq2eEpISMBPP/2EWbNmoW3btqhTpw5++eUXpKenG5w/IiICzs7OaNeuHTw8PNCwYUNdILK3t4exsTGsra3h7OwMZ2dng8s4evQo/vnnH6xbtw7169dHlSpVMGvWLNja2mL9+vUAgH79+uH333/XPebKlSs4ffo0+vXrp6tDCAFXV1fdPDY2NrC2toaxsTGcnZ1Rvnx53TRXV1ekpqYiKirq1VYYEREVrN2TgctbAWMl0Gc1UL6a3BUVCNn3JA0fPhxdunRBu3btMH369BznDQkJwdixY/XGBQYGYvPmzdk+JiUlBSkpKbrhuLi4PNVnbmqMi9MC8/SYgmJuavzymSC14UlNTUWjRo104+zt7VGtmuE3ac+ePTFv3jxUqlQJHTt2ROfOnREUFAQTk9y/Hc6dO4eEhIQsl295+vQprl+/DgDo06cPPvroIxw/fhyNGzfGqlWrUK9ePVSvXl03LwCYmZnl6jnNzc0BAElJSbmuk4iIClnIIuD4Iul+98WAZ1N56ylAsoakNWvW4MyZMzh58mSu5o+KioKTk5PeOCcnpxz3LAQHB2Pq1Kn5rlGhUOT6kFdJ4e7ujvDwcOzduxd79uzBBx98gJkzZ+LQoUO5vsZZQkICXFxccPDgwSzTbG1tAQDOzs5o06YNVq9ejcaNG2P16tUYNmyYbj4HBwcAwJMnT/T2GGUnOjoaAHI1LxERFYGLfwK7Jkn3200F6rwpbz0FTLbDbXfu3MGoUaOwatWqXO9JyI+JEyciNjZWd7tz506hPZdcvL29YWpqihMnTujGPXnyBFeuXMn2Mebm5ggKCsJ3332HgwcPIiQkRHcavlKpfOn1zurVq4eoqCiYmJigcuXKereM8ANIh9zWrl2LkJAQ3LhxA3369NGrW61W4+LFi7l6nWFhYahQoYLe8omISCZ3TgIb3wMggPrvAk1HyV1RgZMtJJ0+fRoPHjxAvXr1YGJiAhMTExw6dAjfffcdTExMDP5IOzs74/79+3rj7t+/n227GQBQqVRQq9V6t9LGysoKgwcPxvjx47F//36EhYVh4MCBMDIyvHlXrFiBn376CWFhYbhx4wZ+++03mJub607D9/T0xOHDh3H37l08evQIAHD37l1Ur14d//zzDwCgXbt2CAgIQPfu3bF7927cunULx44dw6effopTp07pnuv1119HfHw8hg0bhtatW+u1PzIyMkK7du1w9OjRXL3OI0eOoEOHDvlaR0REVIAeXwd+7w2kJwNVAoFOM4FSeL1M2UJS27Ztcf78eYSGhupu9evXR79+/RAaGqp3VlOGgIAA7Nu3T2/cnj17EBAQUFRlF1szZ85E8+bNERQUhHbt2qFZs2bw9/c3OK+trS1++OEHNG3aFD4+Pti7dy/++usvXfuiadOm4datW/D29tYd2kpLS0N4eLiuPZBCocD27dvRokULDBo0CFWrVkWfPn1w+/ZtvUOi1tbWCAoKwrlz53QNtjMbMmQI1qxZA61Wm+PrS05OxubNm196xh0RERWyxMfAqjeBpMeAiy/w5s+AcelqlpJBIfLSGU8ha9WqFXx9fXX9+fTv3x9ubm4IDg4GIHUB0LJlS3zzzTfo0qUL1qxZg6+//jpPXQDExcXBxsYGsbGxWfYqJScn4+bNm/Dy8irUQ4D0nBACjRo1wpgxY9C3b99s51u8eDE2bdqE3bt353rZ3J5ERAUs7SnwS1fgv38AGw9gyF7A2unljysAOf1+FxbZuwDISUREBCIjI3XDTZo0werVq7Fs2TLUrVsX69evx+bNmwutjyQqfAqFAsuWLcu2u4IMpqamWLBgQRFVRUREWWi1wMahUkAyswHeXl9kAUkuxWpPUlHgnqSyg9uTiKgA7foUCFko9YX0zibAs1mRPj33JBEREVHxc3yJFJAAoNuiIg9IcmFIIiIiouxd2grsnCDdbzsF8Okpbz1FiCGJiIiIDPvvlHRNNgjAfxDQbIzcFRUphiQiIiLKKvoGsLo3kP4UqNIB6DyrVPaFlBOGJCIiItKX+Bj47U0g6RHgUhd4c3mp7QspJwxJRERE9FxaMrDmLSD6OmDjDrz1B6CykrsqWTAkERERkUSrBTb9D7hzHFDZAP3WA9bZX/qrtGNIIp3U1FRUrlwZx44dy3aeW7duQaFQIDQ0FABw8OBBKBQKxMTEFGptUVFRaN++PSwtLWFra4vU1FR4enrqXSeOiIhe0d7PgYubASNToM8qwLG63BXJiiGJdJYsWQIvLy80adIk149p0qQJIiMjYWNj89J5XyVQzZ07F5GRkQgNDcWVK1egVCrx0Ucf4ZNPPsnzsoiIyIATy4Bjz65s0H0x4NVc3nqKAYYkAiBdQ23hwoUYPHhwnh6nVCrh7OwMRSGf8XD9+nX4+/ujSpUqcHR0BAD069cPR48exYULFwr1uYmISr3L24Cdz/7pbPNZmeoLKScMSS8jBJCaKM8tD1eM0Wq1mDFjBipXrgyVSgUPDw989dVXuul37txBr169YGtrC3t7e3Tr1g23bt3STT99+jSuX7+OLl266C33n3/+gZ+fH8zMzFC/fn2cPXtWb/qLe4du376NoKAg2NnZwdLSErVq1cL27dtx69YttG7dGgBgZ2cHhUKBgQMH5uq1eXp6YsOGDfj111/1HmdnZ4emTZtizZo1uV5PRET0gv9OA+sHA0IL1BsANB8nd0XFRtk7ny+v0pKAr13lee5J9wClZa5mnThxIn744QfMnTsXzZo1Q2RkJC5fvgwASEtLQ2BgIAICAnDkyBGYmJhg+vTp6NixI/79918olUocOXIEVatWhbW1tW6ZCQkJeO2119C+fXv89ttvuHnzJkaNGpVjHcOHD0dqaioOHz4MS0tLXLx4EVZWVnB3d8eGDRvwxhtvIDw8HGq1Gubm5rl6bSdPnkT//v2hVqsxf/58vcc1bNgQR44cydVyiIjoBdE3gd+f9YVUuR3QZU6Z6wspJwxJpUB8fDzmz5+PhQsXYsCAAQAAb29vNGsmXVtn7dq10Gq1+PHHH3WHxZYvXw5bW1scPHgQHTp0wO3bt+Hqqh8GV69eDa1Wi59++glmZmaoVasW/vvvPwwbNizbWiIiIvDGG2+gTp06AIBKlSrpptnb2wMAHB0dYWtrm+vXV758eahUKpibm8PZWf8sC1dXV9y+fTvXyyIiomeSooFVPYHEh4CzD9BzRZnsCyknXBsvY2oh7dGR67lz4dKlS0hJSUHbtm0NTj937hyuXbumt5cIAJKTk3H9+nUAwNOnT2FmZpZluT4+PnrjAwICcqxl5MiRGDZsGHbv3o127drhjTfegI+PT65eR36Ym5sjKSmp0JZPRFQqZfSF9Phqpr6QrF/+uDKGIellFIpcH/KSy8sOWyUkJMDf3x+rVq3KMq18+fIAAAcHB5w/f/6VaxkyZAgCAwOxbds27N69G8HBwZg9ezY+/PDDV162IdHR0brXQEREuaDVApvfByJCnvWFtA5Qu8hdVbHEhtulQJUqVWBubo59+/YZnF6vXj1cvXoVjo6OqFy5st4t49R9Pz8/XL58GSJTY/EaNWrg33//RXJysm7c8ePHX1qPu7s73n//fWzcuBHjxo3DDz/8AEA6Ew4ANBpNvl/ri8LCwuDn51dgyyMiKvX2fQFc2CT1hdR7JeBYQ+6Kii2GpFLAzMwMn3zyCT7++GP8+uuvuH79Oo4fP46ffvoJgHSqvIODA7p164YjR47g5s2bOHjwIEaOHIn//vsPANC6dWskJCTonU7/1ltvQaFQ4L333sPFixexfft2zJo1K8daRo8ejV27duHmzZs4c+YMDhw4gBo1pA9gxYoVoVAosHXrVjx8+BAJCQmv/NqPHDmCDh06vPJyiIjKhH9+AP6eL93v9j1QqaW89RRzDEmlxGeffYZx48bh888/R40aNdC7d288ePAAAGBhYYHDhw/Dw8MDr7/+OmrUqIHBgwcjOTkZarUaAFCuXDn06NFD75CclZUV/vrrL5w/fx5+fn749NNP8e233+ZYh0ajwfDhw1GjRg107NgRVatWxaJFiwAAbm5umDp1KiZMmAAnJyeMGDECALBixYp89bMUEhKC2NhYvPnmm3l+LBFRmRO+A9jxsXS/zWSgbm956ykBFELkoTOeUiAuLg42NjaIjY3VBYQMycnJuHnzJry8vLI0Yi4L/v33X7Rv3x7Xr1+HlVXRXcxwypQpOHToEA4ePJinx/Xu3Rt169bFpEmTDE4v69uTiEjn7hlgRRepW5t6/YGg70rcqf45/X4XFu5JIh0fHx98++23uHnzZpE+744dOzBjxow8PSY1NRV16tTBmDFjCqkqIqJS4sktYHUvKSB5t2VfSHnAs9tIT257wS5I//zzT54fo1QqMXny5EKohoioFNHrC6kO0OsXwNhU7qpKDO5JIiIiKo3SU4C1bwOPrgDqCsBb69gXUh4xJBEREZU2Wi2weRhw+29ApWZfSPnEkGRAGWvLXmpxOxJRmbV/GhC24VlfSL8BTjXlrqhEYkjKxNRUOk7Ly1yUDqmpqQAAY2NjmSshIipCJ38Cjs6V7nddwL6QXgEbbmdibGwMW1tbvf6F8tN/D8lPq9Xi4cOHsLCwgIkJ3+ZEVEaE7wS2fyTdb/0p4NtX3npKOP56vCDjKvMZQYlKLiMjI3h4eDDoElHZcO8ssH4QILSA39tAi/FyV1TiMSS9QKFQwMXFBY6OjkhLS5O7HHoFSqUSRkY8okxEZcCT28Dq3s/6QmoDvDaPfSEVAIakbBgbG7MtCxERFX9Pn0h9ISXcB5xqAz3ZF1JB4b/ZREREJVV6CrDmbeBROKB2k071NyuaS3aUBQxJREREJZFWC2z+ALh9NFNfSK5yV1WqyBqSFi9eDB8fH6jVaqjVagQEBGDHjh3Zzp9xtfjMN164lIiIyqT9XwJh6wEjE6DXr4BTLbkrKnVkbZNUoUIFfPPNN6hSpQqEEPjll1/QrVs3nD17FrVqGd7YarUa4eHhumGeuURERGXOqeXA0TnS/a4LAO/W8tZTSskakoKCgvSGv/rqKyxevBjHjx/PNiQpFArdafq5kZKSgpSUFN1wXFxc/oolIiIqDq7sBraNk+63mgj4viVvPaVYsWmTpNFosGbNGiQmJiIgICDb+RISElCxYkW4u7ujW7duuHDhQo7LDQ4Oho2Nje7m7u5e0KUTEREVjXuhwLqBgNAAvv2Alp/IXVGpphAyX+Dq/PnzCAgIQHJyMqysrLB69Wp07tzZ4LwhISG4evUqfHx8EBsbi1mzZuHw4cO4cOECKlSoYPAxhvYkubu7IzY2Fmo1zwAgIqISIiYC+LGddKp/pdZSQ+0ydKp/XFwcbGxsivT3W/aQlJqaioiICMTGxmL9+vX48ccfcejQIdSs+fKL8aWlpaFGjRro27cvvvzyy1w9nxwrmYiI6JU8jQF+DgQeXpb6Qhq0o8yd6i/H77fsnUkqlUpUrlwZAODv74+TJ09i/vz5WLp06Usfa2pqCj8/P1y7dq2wyyQiIpJHegqw9m0pIFm7Am/9UeYCklyKTZukDFqtVu/wWE40Gg3Onz8PFxeXQq6KiIhIBkIAW0YAt44ASmvpEJuNm9xVlRmy7kmaOHEiOnXqBA8PD8THx2P16tU4ePAgdu3aBQDo378/3NzcEBwcDACYNm0aGjdujMqVKyMmJgYzZ87E7du3MWTIEDlfBhERUeHYPx04/8ezvpB+AZxry11RmSJrSHrw4AH69++PyMhI2NjYwMfHB7t27UL79u0BABEREXoXKH3y5Anee+89REVFwc7ODv7+/jh27Fiu2i8RERGVKKd/AY7Mku4HzQcqt5W3njJI9obbRY0Nt4mIqNi7uhdY3Us61b/lBKD1RLkrkp0cv9/Frk0SERFRmRZ5Dlg3QApIdd8CWk2Qu6IyiyGJiIiouIi5A6zqBaQmAF4tpcNsvPyWbBiSiIiIioOnMcCqnkBCFOBYE+i9EjBRyl1VmcaQREREJLf0FOCPd4CHlwBrF+lUfzMbuasq8xiSiIiI5JT4GFjZA7h5OFNfSIYvtUVFS/Yet4mIiMqsB5eB33sDT24BKjXQ+zfAuY7cVdEzDElERERyuLoXWD8ISIkD7DyBvmsBx+pyV0WZMCQREREVJSGAf5YBOycAQgt4NJH2IFmWk7syegFDEhERUVHRpAE7PgZO/SwN+74NvDaXZ7EVUwxJREREReHpE+CPAcDNQwAUQIcvgYAR7AepGGNIIiIiKmyPrkkNtB9fA5RWwBs/AtU6yV0VvQRDEhERUWG6cRD4oz+QHAvYuAN91wDOteWuinKBIYmIiKiwnPoZ2PaRdB22Cg2BPqsAK0e5q6JcYkgiIiIqaJp0YPenwIkl0rBPbyDoO8DUTN66KE8YkoiIiApSciyw/l3g2l5puM1nQPNxbKBdAjEkERERFZToG8DqPsCjcMDUAuixFKjZVe6qKJ8YkoiIiArCrb+BtW8DT6MBa1eg7++Aq6/cVdErYEgiIiJ6VWd/A/4aDWjTAFc/oM/vgNpF7qroFTEkERER5ZdWA+ydAhxbIA3X6gF0WwQoLeStiwoEQxIREVF+pMQDG94DruyQhltOAFpNYAPtUoQhiYiIKK9iIqQG2g8uACZmQLfvgTpvyl0VFTCGJCIioryIOAGs7QckPgSsnKT2RxX85a6KCgFDEhERUW6dWwv8OQLQpALOdaRLjNhUkLsqKiQMSURERC+j1QIHpgNHZkvD1V8DXl8GKC3lrYsKFUMSERFRTlITgU3/Ay79JQ03Hwe0ngwYGclbFxU6hiQiIqLsxN4F1vQFIs8Bxkqg6wKgbh+5q6IiwpBERERkyN3TwO9vAQlRgIUD0GcV4NFY7qqoCDEkERERvShsI7B5GJCeDDjWlBpo21WUuyoqYgxJREREGYQADn0LHAyWhqt2BN74EVBZy1sXyYIhiYiICADSngJbhgNhG6ThgBFA+2mAkbG8dZFsZG2av3jxYvj4+ECtVkOtViMgIAA7duzI8THr1q1D9erVYWZmhjp16mD79u1FVC0REZVa8VHA8s5SQDIykRpoB37FgFTGyRqSKlSogG+++QanT5/GqVOn0KZNG3Tr1g0XLlwwOP+xY8fQt29fDB48GGfPnkX37t3RvXt3hIWFFXHlRERUakSeA35oA9w7A5jbAf23APX6y10VFQMKIYSQu4jM7O3tMXPmTAwePDjLtN69eyMxMRFbt27VjWvcuDF8fX2xZMmSXC0/Li4ONjY2iI2NhVqtLrC6iYioBLr0F7BxKJCWBDhUBd5aC9hXkrsqMkCO3+9i0xOWRqPBmjVrkJiYiICAAIPzhISEoF27dnrjAgMDERISku1yU1JSEBcXp3cjIqIyTgjgyBxg7dtSQPJuAwzew4BEemRvuH3+/HkEBAQgOTkZVlZW2LRpE2rWrGlw3qioKDg5OemNc3JyQlRUVLbLDw4OxtSpUwu0ZiIiKsHSU4A/RwL/rpGGG/4PCPwaMJb9J5GKGdn3JFWrVg2hoaE4ceIEhg0bhgEDBuDixYsFtvyJEyciNjZWd7tz506BLZuIiEqYhIfAL0FSQFIYA11mA51nMCCRQbK/K5RKJSpXrgwA8Pf3x8mTJzF//nwsXbo0y7zOzs64f/++3rj79+/D2dk52+WrVCqoVKqCLZqIiEqe+xeA1X2A2AjAzAbo+Qvg3VruqqgYk31P0ou0Wi1SUlIMTgsICMC+ffv0xu3ZsyfbNkxEREQAgPCdwE8dpIBk7w0M2ceARC8l656kiRMnolOnTvDw8EB8fDxWr16NgwcPYteuXQCA/v37w83NDcHBUs+no0aNQsuWLTF79mx06dIFa9aswalTp7Bs2TI5XwYRERVXQgAh3wO7JwMQgGdzoNevgIW93JVRCSBrSHrw4AH69++PyMhI2NjYwMfHB7t27UL79u0BABERETAyer6zq0mTJli9ejUmT56MSZMmoUqVKti8eTNq164t10sgIqLiKj0V2DYWOLtSGvYfCHSeBRibyloWlRzFrp+kwsZ+koiIyoCkaGDtO8Dto4DCSDp7rdH7gEIhd2WUT3L8fsvecJuIiKhAPQwHVvcGntwElNZAz+VAlfZyV0UlEEMSERGVHtf2AusGASlxgG1FqQdtxxpyV0UlFEMSERGVfEIA/ywDdk4AhBbwaAL0/g2wLCd3ZVSCMSQREVHJpkkDdnwCnPpJGvbtB7w2FzBhH3n0ahiSiIio5EqOBf7oD9w4CEABtJ8KNBnJBtpUIBiSiIioZBIC2PyBFJBMLYE3fgSqd5a7KipFGJKIiKhkOvc7cHkrYGQKDPgLqOAvd0VUyhS7y5IQERG9VEwEsP1j6X7rSQxIVCgYkoiIqGTRaoFNw4DUeMC9MdB0lNwVUSnFkERERCXL8e+lnrRNLYEeiwEjY7krolKKIYmIiEqO+xeBfdOk+x2DAftK8tZDpRpDEhERlQzpKcDGoYAmFajaCajXX+6KqJRjSCIiopLhYDBw/zxgUQ7o+h37QqJCx5BERETF3+0Q4Og86X7Qd4CVo6zlUNnAkERERMVbSjyw6X8AhHTJkRqvyV0RlREMSUREVLztmgTE3AZsPICO38hdDZUhDElERFR8Xd4OnPkVgALosQQwU8tdEZUhDElERFQ8JTwE/hop3W/yIeDZVN56qMxhSCIiouJHCOCvUUDiQ8CxFtBmstwVURnEkERERMVP6CogfJt08drXlwImKrkrojKIIYmIiIqXJ7eAHROk+20mA851ZC2Hyi6GJCIiKj60mucXr/VoIrVFIpIJQxIRERUfIQuBiGOA0ooXryXZMSQREVHxEBUG7J8u3e/4DWDnKWs5RAxJREQkv8wXr63WBfB7W+6KiBiSiIioGNg/HXhwAbAsDwTN58VrqVhgSCIiInnd+hs4tkC6H/QdYFVe3nqInmFIIiIi+STHAZvfByAAv3eA6p3lrohIhyGJiIjks3MiEBMB2FYEOgbLXQ2RHoYkIiKSx6WtQOhvkC5euxRQWctdEZEehiQiIip6CQ+eX7y26SigYoC89RAZIGtICg4ORoMGDWBtbQ1HR0d0794d4eHhOT5mxYoVUCgUejczM7MiqpiIiF6ZEMCfI4Gkx4BTbaD1JLkrIjJI1pB06NAhDB8+HMePH8eePXuQlpaGDh06IDExMcfHqdVqREZG6m63b98uooqJiOiVnV0JXNkBGCuB15fx4rVUbJnI+eQ7d+7UG16xYgUcHR1x+vRptGjRItvHKRQKODs75+o5UlJSkJKSohuOi4vLX7FERPTqom9KjbUBoM1ngFMteeshykGxapMUGxsLALC3t89xvoSEBFSsWBHu7u7o1q0bLly4kO28wcHBsLGx0d3c3d0LtGYiIsolrQbY9D6QmgBUbAYEDJe7IqIcKYQQQu4iAECr1aJr166IiYnB0aNHs50vJCQEV69ehY+PD2JjYzFr1iwcPnwYFy5cQIUKFbLMb2hPkru7O2JjY6FWqwvltRARkQFH5gD7pgJKa+CDY4Cth9wVUQkSFxcHGxubIv39lvVwW2bDhw9HWFhYjgEJAAICAhAQ8PwsiCZNmqBGjRpYunQpvvzyyyzzq1QqqFQ83k1EJKvIf4EDX0v3O33LgEQlQrEISSNGjMDWrVtx+PBhg3uDcmJqago/Pz9cu3atkKojIqJXkpYsXbxWmwZUfw3wfUvuiohyRdY2SUIIjBgxAps2bcL+/fvh5eWV52VoNBqcP38eLi4uhVAhERG9sv1fAg8vAZaOvHgtlSiy7kkaPnw4Vq9ejS1btsDa2hpRUVEAABsbG5ibmwMA+vfvDzc3NwQHS93VT5s2DY0bN0blypURExODmTNn4vbt2xgyZIhsr4OIiLJx8wgQ8r10v+sCwNJB3nqI8kDWkLR48WIAQKtWrfTGL1++HAMHDgQAREREwMjo+Q6vJ0+e4L333kNUVBTs7Ozg7++PY8eOoWbNmkVVNhER5UZyLLB5GAAB1BsAVOsod0VEeVJszm4rKnK0jiciKpM2DQPOrQbsPIH3/wZUVnJXRCWYHL/fxaqfJCIiKiUu/ikFJIXRs4vXMiBRycOQREREBSv+PvDXKOl+09GAR2NZyyHKL4YkIiIqOEIAf34IPI0GnOsArSbKXRFRvjEkERFRwTm9Ari6CzBWAa//AJgo5a6IKN8YkoiIqGA8vg7s+lS63/ZzwLGGvPUQvSKGJCIienWadOnitWmJgGdzoPEHcldE9MoYkoiI6NX9PQ/47x9ApQa6LwaM+PNCJR/fxURE9GruhQIHpasioPNMwNZd1nKICkq+ety+efMmjhw5gtu3byMpKQnly5eHn58fAgICYGZmVtA1EhFRcZWWDGz6H6BNB2p0BXx6y10RUYHJU0hatWoV5s+fj1OnTsHJyQmurq4wNzdHdHQ0rl+/DjMzM/Tr1w+ffPIJKlasWFg1ExFRcbFvGvDwsnTx2tfm8eK1VKrkOiT5+flBqVRi4MCB2LBhA9zd9XenpqSkICQkBGvWrEH9+vWxaNEi9OzZs8ALJiKiYuLGIeD4s4vXdvsesCwnbz1EBSzX127btWsXAgMDc7XQx48f49atW/D393+l4goDr91GRFQAnsYAi5sCcf8B/oOAoHlyV0SlnBy/37nek5TbgAQA5cqVQ7ly/I+CiKjU2vGxFJDsKwEdpstdDVGhyNfZbWfOnMH58+d1w1u2bEH37t0xadIkpKamFlhxRERUDF3YDPy79tnFa5fx4rVUauUrJP3vf//DlStXAAA3btxAnz59YGFhgXXr1uHjjz8u0AKJiKgYiY8Cto6W7jcbC7g3kLUcosKUr5B05coV+Pr6AgDWrVuHFi1aYPXq1VixYgU2bNhQkPUREVFxIQSwZQTw9AngUhdo+YncFREVqnyFJCEEtFotAGDv3r3o3LkzAMDd3R2PHj0quOqIiKj4OPUzcG2PdPHaHst48Voq9fIVkurXr4/p06dj5cqVOHToELp06QJA6mTSycmpQAskIqJi4PF1YPdk6X77qYBjdXnrISoC+QpJ8+bNw5kzZzBixAh8+umnqFy5MgBg/fr1aNKkSYEWSEREMtOkAxuHAmlJgFdLoOH/5K6IqEjkup+k3EhOToaxsTFMTU0LapEFjv0kERHl0aEZwIGvAJUN8MExwKaC3BVRGVSs+0kSQkDxku7med02IqJS5t5Z4NC30v0usxiQqEzJ9eG2WrVqYc2aNS/tB+nq1asYNmwYvvnmm1cujoiIZJT2VDrMpk0HanYH6vBSU1S25HpP0oIFC/DJJ5/ggw8+QPv27VG/fn24urrCzMwMT548wcWLF3H06FFcuHABI0aMwLBhwwqzbiIiKmx7vwAeXQGsnIHX5vLitVTm5LlN0tGjR7F27VocOXIEt2/fxtOnT+Hg4AA/Pz8EBgaiX79+sLOzK6x6XxnbJBER5cL1A8DK7tL9fhuAKu1kLYeoWLdJytCsWTM0a9asMGohIqLi4OkTYPMH0v0GQxiQqMzKVxcARERUim0fD8TfA+y9gfbT5K6GSDYMSURE9FzYBuD8OkBhDLy+DFBayl0RkWwYkoiISBJ3D9g6Vrrf4iOgQn156yGSGUMSERE9u3jtcCA5BnD1A1qMl7siItkxJBEREXDyR+D6fsDETLp4rXHxvXICUVHJd0i6fv06Jk+ejL59++LBgwcAgB07duDChQu5XkZwcDAaNGgAa2trODo6onv37ggPD3/p49atW4fq1avDzMwMderUwfbt2/P7MoiI6NFVYPdn0v3204DyVeWth6iYyFdIOnToEOrUqYMTJ05g48aNSEhIAACcO3cOU6ZMydNyhg8fjuPHj2PPnj1IS0tDhw4dkJiYmO1jjh07hr59+2Lw4ME4e/Ysunfvju7duyMsLCw/L4WIqGzTpEm9aqc/BSq1Ahq8J3dFRMVGvi5wGxAQgJ49e2Ls2LGwtrbGuXPnUKlSJfzzzz94/fXX8d9//+WrmIcPH8LR0RGHDh1CixYtDM7Tu3dvJCYmYuvWrbpxjRs3hq+vL5YsWfLS52BnkkREmRz8BjgYDJjZAMNCABs3uSsiMkiO3+987Uk6f/48evTokWW8o6MjHj16lO9iYmNjAQD29vbZzhMSEoJ27fQ7NgsMDERISIjB+VNSUhAXF6d3IyIiAHdPA4dmSPe7zGFAInpBvkKSra0tIiMjs4w/e/Ys3Nzy9yHTarUYPXo0mjZtitq1a2c7X1RUFJycnPTGOTk5ISoqyuD8wcHBsLGx0d3c3d3zVR8RUamSmiQdZhMaoPYbQJ035a6IqNjJV0jq06cPPvnkE0RFRUGhUECr1eLvv//GRx99hP79++erkOHDhyMsLAxr1qzJ1+OzM3HiRMTGxupud+7cKdDlExGVOGlPgY3vAY+vAdYuQOdZcldEVCzl+dptAPD1119j+PDhcHd3h0ajQc2aNaHRaPDWW29h8uTJeV7eiBEjsHXrVhw+fBgVKlTIcV5nZ2fcv39fb9z9+/fh7OxscH6VSgWVSpXnmoiISqWkaGDNW0BECGCsBHosASyyb+JAVJblq+F2hoiICISFhSEhIQF+fn6oUqVKnh4vhMCHH36ITZs24eDBg7l6fO/evZGUlIS//vpLN65Jkybw8fFhw20iopzE3AF+ewN4FA6obIA+qwCv5nJXRZQrcvx+52tPUgYPDw94eHjk+/HDhw/H6tWrsWXLFlhbW+vaFdnY2MDc3BwA0L9/f7i5uSE4OBgAMGrUKLRs2RKzZ89Gly5dsGbNGpw6dQrLli17lZdCRFS63b8A/PamdOFaa1fg7fWAUy25qyIq1vIVkoQQWL9+PQ4cOIAHDx5Aq9XqTd+4cWOulrN48WIAQKtWrfTGL1++HAMHDgQg7a0yMnredKpJkyZYvXo1Jk+ejEmTJqFKlSrYvHlzjo29iYjKtJtHpENsKXFA+erA2xsAm5ybNhBRPg+3jRo1CkuXLkXr1q3h5OQEhUKhN3358uUFVmBB4+E2IipTLmySzmLTpAIeAUCf1WyDRCVSiTnctnLlSmzcuBGdO3cu6HqIiKigHF8C7JwAQAA1goDXfwRMzeSuiqjEyFdIsrGxQaVKlQq6FiIiKghaLbB3CnDsO2m4wRCg0wzAyFjeuohKmHz1k/TFF19g6tSpePr0aUHXQ0REryI9Fdj0v+cBqe3nUj9IDEhEeZavPUm9evXC77//DkdHR3h6esLU1FRv+pkzZwqkOCIiyoOUeGDt28CNg4DCGOi2EPB9S+6qiEqsfIWkAQMG4PTp03j77bcNNtwmIqIiFn8fWPUmEPUvYGoJ9PoVqNLu5Y8jomzlKyRt27YNu3btQrNmzQq6HiIiyqtH14DfegAxEYCFA9BvHeBWT+6qiEq8fIUkd3d3nj5PRFQc3DkJrO4FPI0G7LyAdzYC9jyxhqgg5Kvh9uzZs/Hxxx/j1q1bBVwOERHlWvhO4JcgKSC5+gGD9zAgERWgfO1Jevvtt5GUlARvb29YWFhkabgdHR1dIMUREVE2Tv8CbB0NCC1QuT3QcwWgspK7KqJSJV8had68eQVcBhER5YoQwKEZwMGvpWHffkDQfMDYNOfHEVGe5fvsNiIiKmKadGDbWODML9Jw84+ANpMBnmFMVChyHZLi4uJ0jbXj4uJynJeNuomIClhqErD+XeDKDgAKoPNMoOF7cldFVKrlOiTZ2dkhMjISjo6OsLW1Ndg3khACCoUCGo2mQIskIirTEh8Dv/cG/jsJGKuAN3+SrsVGRIUq1yFp//79sLeXrhx94MCBQiuIiIgyeXIb+O0N4PFVwMwW6LsGqBggd1VEZUKuQ1LLli119728vODu7p5lb5IQAnfu3Cm46oiIyrLIf6VetBPuA+oKwNsbAMfqcldFVGbkq58kLy8vPHz4MMv46OhoeHl5vXJRRERl3o2DwPLOUkByrAUM2cOARFTE8nV2W0bboxclJCTAzMzslYsiIirT/l0HbB4GaNMAz+ZA798Ac1u5qyIqc/IUksaOHQsAUCgU+Oyzz2BhYaGbptFocOLECfj6+hZogUREZcqxBcDuydL9Wj2AHksBE5W8NRGVUXkKSWfPngUg7Uk6f/48lEqlbppSqUTdunXx0UcfFWyFRERlgVYrhaPj30vDjT8AOnwFGOWrVQQRFYA8haSMs9oGDRqE+fPnsz8kIqKCkJ4CbHofuLBRGm7/JdDkQ3YSSSSzfLVJWr58eUHXQURUNiXHAmv6AbeOAEamQPdFgE8vuasiIuQzJBERUQGIuwf89ibw4AKgtJIaaHu3lrsqInqGIYmISA4Pw6VOImPvAFZOQL91gEtduasiokwYkoiIilrEcWB1byA5BihXWeok0s5T7qqI6AUMSURERenSVmDDYCA9GajQAOi7FrAsJ3dVRGQAQxIRUVE5+SOwfTwgtEDVjsCbywGlxcsfR0SyYEgiIipsQgD7pwNHZknD9foDXeYCxvwKJirO+AklIipMmjTgr9FA6G/ScKuJQMtP2AcSUQnAkEREVFhSE4E/BgDX9gAKI+C1uYD/QLmrIqJcYkgiIioMCQ+B1b2Ae2cAE3Og53KgWie5qyKiPGBIIiIqaNE3pD6Qom8A5vbAW38A7g3kroqI8kjWKycePnwYQUFBcHV1hUKhwObNm3Oc/+DBg1AoFFluUVFRRVMwEdHL3D0D/NRBCki2HsDg3QxIRCWUrCEpMTERdevWxffff5+nx4WHhyMyMlJ3c3R0LKQKiYjy4NpeYMVrQOJDwLkOMHgP4FBF7qqIKJ9kPdzWqVMndOqU92P0jo6OsLW1LfiCiIjyK/R34M8RgDYdqNQK6LUSMFPLXRURvQJZ9yTll6+vL1xcXNC+fXv8/fffOc6bkpKCuLg4vRsRUYERAjgyG9j8vhSQ6vQE3lrHgERUCpSokOTi4oIlS5Zgw4YN2LBhA9zd3dGqVSucOXMm28cEBwfDxsZGd3N3dy/CiomoVNNqpB60902Thpt8CPRYBpgo5a2LiAqEQggh5C4CABQKBTZt2oTu3bvn6XEtW7aEh4cHVq5caXB6SkoKUlJSdMNxcXFwd3dHbGws1Gr+p0dE+ZSWDGx8D7j0JwAFEPg1EPCB3FURlVpxcXGwsbEp0t/vEt8FQMOGDXH06NFsp6tUKqhUqiKsiIhKvadPgN/fAiKOAcZKoMdSoPbrcldFRAWsxIek0NBQuLi4yF0GEZUVMRHAql7Aw0uASg30WQV4tZC7KiIqBLKGpISEBFy7dk03fPPmTYSGhsLe3h4eHh6YOHEi7t69i19//RUAMG/ePHh5eaFWrVpITk7Gjz/+iP3792P37t1yvQQiKiu0WuDUT8DeqUBqPGDtAvRbDzjXlrsyIioksoakU6dOoXXr1rrhsWPHAgAGDBiAFStWIDIyEhEREbrpqampGDduHO7evQsLCwv4+Phg7969essgIipwDy4Df40E7pyQhis0AN78WeoskohKrWLTcLuoyNHwi4hKqPQU4Mgc6RR/bRqgtALaTgEaDAaMjOWujqhMYcNtIqLi4nYI8Nco4FG4NFy1E9BlFmBTQd66iKjIMCQREWWWHAvs/QI49bM0bOkIdJ4B1OwOKBRyVkZERYwhiYgow6W/pM4h4yOlYb93gA5fAuZ28tZFRLJgSCIiiosEdoyXQhIA2HsDQfMBr+by1kVEsmJIIqKyS6sFzqwA9nwBpMQCRiZAk5FAy48BU3O5qyMimTEkEVHZ9PCK1DA74pg07FoP6LqA/R4RkQ5DEhGVLempwN/zgMMzAU0qYGoJtP0MaDiUp/UTkR6GJCIqO+78A/w5UrqkCABUbg+8NoedQhKRQQxJRFT6pcQD+6YB//wAQAAWDkCnb4Hab/C0fiLKFkMSEZVu4TuAbeOAuLvSsG8/oMN0wMJe3rqIqNhjSCKi0in+PrDjY+DiZmnYzhN4bR7gzWs9ElHuMCQRUekiBHB2JbB7stR7tsIYaDICaDkBUFrIXR0RlSAMSURUejy+Lp3Wf+uINOziC3T9DnCpK2tZRFQyMSQRUcmnSQOOfQcc/BbQpACmFkDrSUCjYYAxv+aIKH/47UFEJdt/p4G/RgL3w6Rh7zbAa3OlNkhERK+AIYmISqaUBGD/dODEEgACMLcHOn4D+PTiaf1EVCAYkoio5LmyG9g2Foi9Iw379AYCvwYsHeSti4hKFYYkIio5Eh4COz8BwjZIw7Ye0qG1yu3krYuISiWGJCIq/oQAQlcDuz8Fnj4BFEZA4w+kxtlKS7mrI6JSiiGJiIq36BvAX6OBm4ekYec6QNB3gFs9WcsiotKPIYmIiidNOhCyEDgYDKQnAyZmQKuJQMBwwNhU7uqIqAxgSCKi4ufeWeDPD4Go89KwV0sgaB5gX0nWsoiobGFIIqLiIzUROPA1cHwRILSAma101prvWzytn4iKHEMSERUP1/YBW0cDMRHScO03pX6PrMrLWhYRlV0MSUQkr8THwK6JwL9rpWEbd6DLHKBqB3nrIqIyjyGJiOQhhBSMdk4EnkYDUACN3gfaTAZUVnJXR0TEkEREMnhyC9g6Bri+Xxp2rAV0XQBU8Je1LCKizBiSiKjoaNKBE4ulxtlpSYCxCmj1CdBkJE/rJ6JihyGJiIpG5L/Saf2RodKwZ3PgtXmAQ2U5qyIiyhZDEhEVrrRk4PAM4Og8QGgAMxugw3TA7x2e1k9ExRpDEhEVnjv/AFuGA4+uSMM1uwGdZgLWTvLWRUSUC0ZyPvnhw4cRFBQEV1dXKBQKbN68+aWPOXjwIOrVqweVSoXKlStjxYoVhV4nEeVRaqJ01tpPHaSAZOkI9FoJ9PqVAYmISgxZQ1JiYiLq1q2L77//Plfz37x5E126dEHr1q0RGhqK0aNHY8iQIdi1a1chV0pEuXbjELC4idRrNgRQ9y1g+AmgZle5KyMiyhNZD7d16tQJnTp1yvX8S5YsgZeXF2bPng0AqFGjBo4ePYq5c+ciMDDQ4GNSUlKQkpKiG46Li3u1oonIsORYYPdnwJlfpGF1BSBoPlClnbx1ERHlk6x7kvIqJCQE7drpf+EGBgYiJCQk28cEBwfDxsZGd3N3dy/sMonKnvCdwPeNnwekBkOA4ccZkIioRCtRISkqKgpOTvrtGZycnBAXF4enT58afMzEiRMRGxuru925c6coSiUqGxIfAxuGAL/3BuLvAfaVgIHbgS6zAZW13NUREb2SUn92m0qlgkqlkrsMotJFCODCJmD7eCDpEaAwAgJGAK0nAabmcldHRFQgSlRIcnZ2xv379/XG3b9/H2q1Gubm/GImKhLxUcC2ccDlrdKwY02g20LAjZcUIaLSpUSFpICAAGzfvl1v3J49exAQECBTRURliBBA6Cpg1ySpkbaRCdD8I6D5OMBEKXd1REQFTtaQlJCQgGvXrumGb968idDQUNjb28PDwwMTJ07E3bt38euvvwIA3n//fSxcuBAff/wx3n33Xezfvx9//PEHtm3bJtdLICobYiKAv0Y9vyCtqx/Q7XvAqZa8dRERFSJZQ9KpU6fQunVr3fDYsWMBAAMGDMCKFSsQGRmJiIgI3XQvLy9s27YNY8aMwfz581GhQgX8+OOP2Z7+T0SvSKsFTv4I7P0CSEsETMykdkeNhwPGJWpHNBFRnimEEELuIopSXFwcbGxsEBsbC7VaLXc5RMXXo2vAnyOAiGddbHg0Abou4AVpiUgWcvx+819BItKnSQdCFgIHvgY0KYDSCmj3BVB/MGBUonoNISJ6JQxJRPRcVJh0QdrIUGnYu43Ua7ath6xlERHJgSGJiID0VODILODIbECbDpjZAIHBgO9bgEIhd3VERLJgSCIq6/47Le09enhJGq7+mtRjtrWzvHUREcmMIYmorEpNAg58BRxfBAgtYOEAdJkF1OzOvUdERGBIIiqbbh0F/vwQiL4hDfv0lg6vWZaTty4iomKEIYmoLEmOk/o8OvWTNGztCgTNA6qyrzEiohcxJBGVFVf3Sr1mx/0nDfsPBNpPkxppExFRFgxJRKVdUrR0vbVzv0vDdp5Sp5BeLWQti4iouGNIIirNLm4Btn0EJD4AoAAafwC0+RRQWspdGRFRsceQRFQaJTwAtn8khSQAcKgGdFsIuDeUty4iohKEIYmoNBEC+HctsHMC8PQJYGQCNBsDtBgPmKjkro6IqERhSCIqLWL/A/4aDVzbIw07+wDdvgdcfGQti4iopGJIIirptFrg9HJgzxQgNR4wVgGtPgGajASMTeWujoioxGJIIirJHl8H/hwJ3D4qDbs3ArouBMpXlbcuIqJSgCGJqCTSaqTLiez/Ckh/CphaAG2nAA3fA4yM5a6OiKhUYEgiKmkeXAK2jADunpKGvVoCQfMBey956yIiKmUYkohKivRU4O95wKEZgDYNUKmBDtOBev15QVoiokLAkERUEtw7K+09uh8mDVftBLw2B1C7ylsXEVEpxpBEVJzF35f2Hp1YCggNYFEO6DQDqP0G9x4RERUyhiSi4iguEvh7vnRqf3qyNK72G1JAsnSQtzYiojKCIYmoOIm9CxydC5z5FdCkSOMqNABaTQQqt5W3NiKiMoYhiag4iImQwtHZ3wBNqjTOIwBo+QlQqRUPrRERyYAhiUhO0TeBo3OA0NWANl0a59kcaPmx9JfhiIhINgxJRHJ4fB04Mhs4t0ZqkA1Ie4xafAx4NpW1NCIikjAkERWlR1eBw7OA838AQiuNq9xOCkcejeStjYiI9DAkERWFB5ekcBS2AYCQxlUJlNocVfCXtTQiooIkhEBKuhZmpiX/EkkMSUSFKSoMODwTuLgFunBUrQvQcjzg6idraUREBem/J0nYEnoPW0LvooGnPb7qUUfukl4ZQxJRYYg8J10+5PLW5+NqdAVajAdcfOSri4ioAMUmpWHb+UhsDr2Lf25GPx//NA1fdqsNI6OSffIJQxJRQbp7RgpHV3Y8G6EAavWQwpFTTVlLIyIqCMlpGhy4/ACbzt7FwfCHSNVI7SsVCqCxVzn08HNDYG3nEh+QgGISkr7//nvMnDkTUVFRqFu3LhYsWICGDRsanHfFihUYNGiQ3jiVSoXk5OSiKJXIsDsngcMzgKu7pWGFEVD7TaDFR0D5avLWRkT0irRageM3H2PL2XvYHhaJ+OR03bTqztbo4eeGrr6ucLExl7HKgid7SFq7di3Gjh2LJUuWoFGjRpg3bx4CAwMRHh4OR0dHg49Rq9UIDw/XDSvYlwzJJeI4cOhb4Pp+aVhhDPj0ApqPAxyqyFsbEdEruhQZh81n7+LPc/cQGft8Z4SrjRm6+rqhu58rqjurZaywcMkekubMmYP33ntPt3doyZIl2LZtG37++WdMmDDB4GMUCgWcnZ2LskwifbeOSuHo5mFp2MgEqNsHaDYWKOctb21ERK/gXsxTbAm9h81n7yL8frxuvNrMBF18XNDN1w0NPe1LxeG0l5E1JKWmpuL06dOYOHGibpyRkRHatWuHkJCQbB+XkJCAihUrQqvVol69evj6669Rq1Ytg/OmpKQgJSVFNxwXF1dwL4DKFiGkUHToW+D239I4I1PArx/QbAxg5ylreURE+RX7NA07zkdi09m7OJGpAbbS2Ahtqjuiu58bWlcvD5VJyT+tPy9kDUmPHj2CRqOBk5OT3ngnJydcvnzZ4GOqVauGn3/+GT4+PoiNjcWsWbPQpEkTXLhwARUqVMgyf3BwMKZOnVoo9VMZIYR0OO3QDODOcWmcsRLwe0cKR7bu8tZHRJQPKelSA+zNZ+9h/+UHugbYANC4kj26+7qhU20X2FiYylilvGQ/3JZXAQEBCAgI0A03adIENWrUwNKlS/Hll19mmX/ixIkYO3asbjguLg7u7vxRo1wQAri6R9pzdPeUNM5YBfgPBJqOAmzcZC2PiCivtFqBf25FY/PZu9h+PhJxLzTA7u7nhq51XeFqW7oaYOeXrCHJwcEBxsbGuH//vt74+/fv57rNkampKfz8/HDt2jWD01UqFVQq1SvXSmWIEED4DikcRYZK40zMgfrvAk1HAtZsD0dEJcvlqDhsPnsPf4bexb1MDbBdbMzQ1dcV3X3dUMOl9DbAzi9ZQ5JSqYS/vz/27duH7t27AwC0Wi327duHESNG5GoZGo0G58+fR+fOnQuxUioTtFqp88fDM4Co89I4UwugwRCgyYeAleGzLYmIiqN7MU/x5zmpAfblqOcNsK3NTNC5tgu6+7mhkVfZaICdX7Ifbhs7diwGDBiA+vXro2HDhpg3bx4SExN1Z7v1798fbm5uCA4OBgBMmzYNjRs3RuXKlRETE4OZM2fi9u3bGDJkiJwvg0oyrRa4tAU4NBN4cEEap7QCGg4FAoYDlg7y1kdElEuxT9OwM+x5A2zx7GpISmMjtK5eHt193dC6umOpuK5aUZA9JPXu3RsPHz7E559/jqioKPj6+mLnzp26xtwREREwMjLSzf/kyRO89957iIqKgp2dHfz9/XHs2DHUrMnejCmPtBrgwibp2moPn50ooFIDjf4HNP4AsLCXtz4iolyQGmA/xJbQu9h3+QFS0583wG7oZY8efm7oXMYbYOeXQoiMnFk2xMXFwcbGBrGxsVCrefy1TNKkA2HrpXD0+FlbNjMbKRg1+h9gbidvfUREL6HVCpy8FY3NoXex7V/9BthVnax0DbAr2FnIWGXBkuP3W/Y9SURFRpMG/LsWODwLeHJTGmduJx1SazhUCkpERMVYeFQ8NofexZ+h93A35qluvLPaDN18XdHN1w01XKx5JYoCwpBEpV96KnDud+DIbCDmtjTOopzUGLvBEEBlLW99REQ5iIx9ij9D72Fz6D1cinzeIbK1ygSd6jiju68bGlUqB2M2wC5wDElUeqWnAGd/A47OBWLvSOMsywNNRkqn86us5K2PiCgbcclp2Hk+CpvO3sXxm491DbBNjRVoVc0RPfzc0IYNsAsdQxKVLsmxwLV9Uj9HV3cDyTHSeCsnoOloqSNIZek5Rk9EpUdquhYHwx9gc+hd7L30QgNsT3t083NFlzousLVQylhl2cKQRCXfk1tA+E4gfLt0TTXt8waMsHaVLh1S7x3AlD3IElHxIYTArcdJ+PvaI90tcwPsKo7PG2C72/OfOzkwJFHJo9UAd09Le4uu7AQeXNSfXq4KUK2TdKvQEDDm25yIioeH8Sk4dj0jFD3Wa3wNAE5qFbrWdUV3PzfUdFGzAbbM+OtBJUNKAnDjgLTH6OouIPHh82kKY8Aj4HkwKuctX51ERJkkpKTjn5uPcfTqYxy7/kiv52tAamNUz8MOzSo7oEllB/i627IBdjHCkETFV+xdaU9R+A7g5mFAk/J8mkoNVG4HVOsMVG7Ljh+JqFhI02gReicGR69Ke4tC78QgXavfHWEtVzWaVnZA08oOaOBpBwslf4qLK24ZKj6EkC4om9G+KOpf/em2FaVQVK0j4NEEMGHjRSKSlxACl6PidW2KTtyMRlKqRm8eD3uLZ6GoHAIqlUM5K150vaRgSCJ5pT2V9hJltC+Kj8w0UQG4NwSqdpQOo5WvDvD4PBHJ7L8nSTh27TGOXnuEY9cf4VFCqt50e0slmniXQ7Nne4vY6LrkYkiiopfw4NlhtJ1SO6O0pOfTTC0B79bSHqMqHQCr8vLVSUQE4EliKkJuPAtF1x7h1uMkvenmpsZo6GWvC0XVna1hxHZFpQJDEhU+IaQz0MK3S8Ho7mkAmY7Rq92e7S3qDHg2A0zNZCuViCg5TYOTt6Jx9NkhtAv34pD5KqfGRgr4utuiqXc5NK3sAD8POyhNjLJfIJVYDElUONJTgdtHn7Uv2gHERuhPd/UDqj47G825Dg+jEZFs0jVanL8bi2PXH+Po1Uc4HfFEryNHQLpobNPKDmjq7YBGlexhbWYqU7VUlBiSqOAkRUu9XIfvkHq9Ts10qquJGVCplbTHqGpHQO0iW5lEVLYJIXD9YSKOXX+Eo1cfIeTGY8Rn6sQRAFxszNC0soN0ar53OTiquYe7LGJIolfz6Orzw2h3jgMi039flo7SmWhVO0kBiZcDISKZ3I9Lxt/XHj1rV/QYUXHJetPVZiYIyNTY2svBkh05EkMS5ZEmXQpD4TukW/R1/elOtZ+3L3L1A4x4nJ6Iil5cchpO3IjWBaNrDxL0pitNjNDA0w5NvKW9RbXdbNiJI2XBkEQvlxwLXNv77KKxe55fNBYAjEwBr+bP2hd1BGw9ZCuTiMqulHQNztyOkQ6hXXuEf/+LhSZTJ44KBVDHzUbXrqi+px3MTI1lrJhKAoYkMiz65rPT9LcDt4/pXzTW3B6oGijtMfJuA5ip5auTiMqE1HQtHiak4EFcMh7Gp+BBfIru753oJJy6HY3kNP3G1l4OlmhaWTqE1rhSOdhasANayhuGJALSU4D7YcDdM9Lp+f+dBB5f05/Hoap0JlrVTlIHj0b8D4yIXo0QAnHJ6c/CjhR+9APQ80AUk5T20uU5WKnQtHI53SU/3GzNi+BVUGnGkFTWCAE8vi6FoYxb1L+ARr/HWCiMgYpNngWjjrxoLBHlWrpGi8eJqbqg8yAua/jJuJ/ywqn2OTE1VqC8lQrl1WYob6WCo1qF8lYqONuYoZ6HHao6WbGxNRUohqTSLuGBfiC6e1pqY/Qic3vAzf/5zb0BYG5X9PUSUbGVlJqOB3GG9/RkjHsYn4zHial6nS++jLWZCcpbq+BorYKjtZnufvkXhm0tTBmCqEgxJJUmqYlA5Llnh8xOSYfPXuzEEQCMVYBLXaBC/WehqB5g58UOHYnKIK1WIDopNdvDXA/jUnRtgRJfuHBrTowU0uGvjL09urCj1g9ADlYqmCt5+J6KJ4akkkqTDjy8rL+H6MFF/X6KAAAKoHw1/b1ETrUAY/YWS1SSCCGQkq5FUqoGSanpeJqqeXZfg+Q0zfPxac/HP800/DQ109+0dCSlapCYko7HCalI1+Z+t4+5qXGWoFNed//5OHtLJU+ppxKPIakkEAKIvZMpEJ0B7oUCaYlZ57V2lfYMZQQiVz+efUZURNI1WiSlaTIFmBzCTKom07zpeJqmxdPU9EwBRwozunCTpsnTIay8KmepzBR2XjzkpYKjWhpnpeLPBpUdfLcXR0+fAPfOAv9l2kuU+CDrfEprwM1Pfy+R2rXo6yUqgdI1WiQ+25uSmJKOhBQpoCQ8G5bGPZuemjFO82y+dL29Mxl7cNI0hZhiMlGaGMFCaQwLU2OYK41hoTR59tcY5rpxz8abZtw3hnmmYXOlMaxUJnCwUqGclRKmxuz4lehFDElyS08BosKehaFT0t8XT78HACMT6TCZmz/g9qwtkUMVnopPZYZGKzKFlecBJiO06ALNs3FSuNFkDTzPQs+LfeoUJCMFsgQXi0xhJnNQeTHMPJ9ukml6pjBkaszDWERFhCGpKGm10mU8MvYO/XcKiDoPaA30/2Hn9XzvUIX6gHMdwJR9flDxJoRAqkaLlHQtUtK0SEnXICVdi+S0Z38z9tSkSntlsgSeZyEoKSXzfFLoKaxQY2qsgKXKBJZKE1iqjGGpMoGVbtgEVipjWOjGSdMtVc8CTDZhRmlsxLOwiEoBhqTClPDg2Vlmz0LRvTPZn36vO9PMH3CtB1iWK/p6qVR4MahkBJQXA4suxGQKM/rTX5j/2TKS9R6XdfmF2W4GAEyMFM+DzLNQkyXgPPtroXxxXOb5pceoTLg3logMY0gqKKlJUjsi3WGzM1Jj6xeZmEmn37vVf97A2s6Tp9+XcBnBJDVdizSNQGq6dD9VIwWHF8elPgsdz8drdI+X5hF686bqQsoLoSRNi+RMgaWogkpuqUyMYGZqDJWJEVSmRjAzMdYPOLqwkinAZAo9mQOP5bPQozLhXhoiKhoMSQXl5mHg994vjFQA5as/74uoQn3AsSZPvy8EGadHxyWnISE5HfHPbk/TNAbDRpqBECKFlIywo9GNS0sXSNEFGE02Yajw2re8KjNTI6hMjLMEFpWJsd406fZsnOnzcbrHmBjrHif9NbAM0+fz85ATEZV0DEkFxa2edPp9BX/90+9V1nJXVuxptQIJqVKokQJOmhRyUjLdzxR+4pLTkZCSpgtC8clpSEhJL7Izi3LDxEgBpYkRlCZGMDWWAoPq2bDyWYAwNc40bGIElYFxSuPnf/XDi7Fuz4zBwPJsHIMKEVH+FYuQ9P3332PmzJmIiopC3bp1sWDBAjRs2DDb+detW4fPPvsMt27dQpUqVfDtt9+ic+fORVixAVaOwLhL8tYgg9R0rS6kSAEmLUvYSUiRgk3m4fhM8yWkphfY4SGFArBSmsDazATWZqZSI1qT54EhpxCSq3HPQo8qp/HGRjDi2UdERCWe7CFp7dq1GDt2LJYsWYJGjRph3rx5CAwMRHh4OBwdHbPMf+zYMfTt2xfBwcF47bXXsHr1anTv3h1nzpxB7dq1ZXgFhUurFdAIAY1WuqVrBbQZf4X0V6PJmEcLjRZI12qhzfgrBNI1+sswuJwX5nmaqpGCTIr+3prMe2/ik9PzdHHKlzE1VsDazBTWZlIblIygY21mAmtVpvtmprAyk6arzUxgpcoYL7VlYUAhIqKCoBBC3iaejRo1QoMGDbBw4UIAgFarhbu7Oz788ENMmDAhy/y9e/dGYmIitm7dqhvXuHFj+Pr6YsmSJVnmT0lJQUpKim44Li4O7u7uiI2NhVpdcD1RX70fj+nbLukFEU1GiHkWXqS/z6dpNFkD0IuPLy4NcF/GQmmcKdw8Dy3WKsPBxtrMNEsQYoNcIiLKTlxcHGxsbAr89zsnsu5JSk1NxenTpzFx4kTdOCMjI7Rr1w4hISEGHxMSEoKxY8fqjQsMDMTmzZsNzh8cHIypU6cWWM3ZiU9Jx6ErDwv9eTIzNlJIN4UCJkYKGBm98FehgImxNF03b6Zb5nmMni3D+Nk482ehJyPMZBdsMoKRCXvrJSKiUkbWkPTo0SNoNBo4OTnpjXdycsLly5cNPiYqKsrg/FFRUQbnnzhxol6oytiTVNA8y1lids+6WcOIQgFj45cHGd19IyMYGUHvb+ZlGOuCDLjXhYiIqBDJ3iapsKlUKqhUqkJ/HntLJd7wr1Doz0NERERFQ9ZjJA4ODjA2Nsb9+/f1xt+/fx/Ozs4GH+Ps7Jyn+YmIiIjyQ9aQpFQq4e/vj3379unGabVa7Nu3DwEBAQYfExAQoDc/AOzZsyfb+YmIiIjyQ/bDbWPHjsWAAQNQv359NGzYEPPmzUNiYiIGDRoEAOjfvz/c3NwQHBwMABg1ahRatmyJ2bNno0uXLlizZg1OnTqFZcuWyfkyiIiIqJSRPST17t0bDx8+xOeff46oqCj4+vpi586dusbZERERMDJ6vsOrSZMmWL16NSZPnoxJkyahSpUq2Lx5c6nsI4mIiIjkI3s/SUVNjn4WiIiI6NXI8fvNzm2IiIiIDGBIIiIiIjKAIYmIiIjIAIYkIiIiIgMYkoiIiIgMYEgiIiIiMoAhiYiIiMgAhiQiIiIiA2TvcbuoZfSdGRcXJ3MlRERElFsZv9tF2Qd2mQtJ8fHxAAB3d3eZKyEiIqK8io+Ph42NTZE8V5m7LIlWq8W9e/dgbW0NhUIhdznFUlxcHNzd3XHnzh1euqUY4PYoXrg9ih9uk+KlsLaHEALx8fFwdXXVu6ZrYSpze5KMjIxQoUIFucsoEdRqNb9wihFuj+KF26P44TYpXgpjexTVHqQMbLhNREREZABDEhEREZEBDEmUhUqlwpQpU6BSqeQuhcDtUdxwexQ/3CbFS2naHmWu4TYRERFRbnBPEhEREZEBDElEREREBjAkERERERnAkERERERkAEMSERERkQEMSWVEcHAwGjRoAGtrazg6OqJ79+4IDw/Xmyc5ORnDhw9HuXLlYGVlhTfeeAP379/XmyciIgJdunSBhYUFHB0dMX78eKSnpxflSymVvvnmGygUCowePVo3jtujaN29exdvv/02ypUrB3Nzc9SpUwenTp3STRdC4PPPP4eLiwvMzc3Rrl07XL16VW8Z0dHR6NevH9RqNWxtbTF48GAkJCQU9Usp8TQaDT777DN4eXnB3Nwc3t7e+PLLL/UubMrtUbgOHz6MoKAguLq6QqFQYPPmzXrTC2r9//vvv2jevDnMzMzg7u6OGTNmFPZLyxtBZUJgYKBYvny5CAsLE6GhoaJz587Cw8NDJCQk6OZ5//33hbu7u9i3b584deqUaNy4sWjSpIluenp6uqhdu7Zo166dOHv2rNi+fbtwcHAQEydOlOMllRr//POP8PT0FD4+PmLUqFG68dweRSc6OlpUrFhRDBw4UJw4cULcuHFD7Nq1S1y7dk03zzfffCNsbGzE5s2bxblz50TXrl2Fl5eXePr0qW6ejh07irp164rjx4+LI0eOiMqVK4u+ffvK8ZJKtK+++kqUK1dObN26Vdy8eVOsW7dOWFlZifnz5+vm4fYoXNu3bxeffvqp2LhxowAgNm3apDe9INZ/bGyscHJyEv369RNhYWHi999/F+bm5mLp0qVF9TJfiiGpjHrw4IEAIA4dOiSEECImJkaYmpqKdevW6ea5dOmSACBCQkKEENKHxsjISERFRenmWbx4sVCr1SIlJaVoX0ApER8fL6pUqSL27NkjWrZsqQtJ3B5F65NPPhHNmjXLdrpWqxXOzs5i5syZunExMTFCpVKJ33//XQghxMWLFwUAcfLkSd08O3bsEAqFQty9e7fwii+FunTpIt599129ca+//rro16+fEILbo6i9GJIKav0vWrRI2NnZ6X1fffLJJ6JatWqF/Ipyj4fbyqjY2FgAgL29PQDg9OnTSEtLQ7t27XTzVK9eHR4eHggJCQEAhISEoE6dOnByctLNExgYiLi4OFy4cKEIqy89hg8fji5duuitd4Dbo6j9+eefqF+/Pnr27AlHR0f4+fnhhx9+0E2/efMmoqKi9LaHjY0NGjVqpLc9bG1tUb9+fd087dq1g5GREU6cOFF0L6YUaNKkCfbt24crV64AAM6dO4ejR4+iU6dOALg95FZQ6z8kJAQtWrSAUqnUzRMYGIjw8HA8efKkiF5NzkzkLoCKnlarxejRo9G0aVPUrl0bABAVFQWlUglbW1u9eZ2cnBAVFaWbJ/MPcsb0jGmUN2vWrMGZM2dw8uTJLNO4PYrWjRs3sHjxYowdOxaTJk3CyZMnMXLkSCiVSgwYMEC3Pg2t78zbw9HRUW+6iYkJ7O3tuT3yaMKECYiLi0P16tVhbGwMjUaDr776Cv369QMAbg+ZFdT6j4qKgpeXV5ZlZEyzs7MrlPrzgiGpDBo+fDjCwsJw9OhRuUsps+7cuYNRo0Zhz549MDMzk7ucMk+r1aJ+/fr4+uuvAQB+fn4ICwvDkiVLMGDAAJmrK3v++OMPrFq1CqtXr0atWrUQGhqK0aNHw9XVlduDihQPt5UxI0aMwNatW3HgwAFUqFBBN97Z2RmpqamIiYnRm//+/ftwdnbWzfPi2VUZwxnzUO6cPn0aDx48QL169WBiYgITExMcOnQI3333HUxMTODk5MTtUYRcXFxQs2ZNvXE1atRAREQEgOfr09D6zrw9Hjx4oDc9PT0d0dHR3B55NH78eEyYMAF9+vRBnTp18M4772DMmDEIDg4GwO0ht4Ja/yXhO4whqYwQQmDEiBHYtGkT9u/fn2UXp7+/P0xNTbFv3z7duPDwcERERCAgIAAAEBAQgPPnz+u98ffs2QO1Wp3lB4Zy1rZtW5w/fx6hoaG6W/369dGvXz/dfW6PotO0adMsXWJcuXIFFStWBAB4eXnB2dlZb3vExcXhxIkTetsjJiYGp0+f1s2zf/9+aLVaNGrUqAheRemRlJQEIyP9nydjY2NotVoA3B5yK6j1HxAQgMOHDyMtLU03z549e1CtWrVicagNALsAKCuGDRsmbGxsxMGDB0VkZKTulpSUpJvn/fffFx4eHmL//v3i1KlTIiAgQAQEBOimZ5xy3qFDBxEaGip27twpypcvz1POC0jms9uE4PYoSv/8848wMTERX331lbh69apYtWqVsLCwEL/99ptunm+++UbY2tqKLVu2iH///Vd069bN4CnPfn5+4sSJE+Lo0aOiSpUqPOU8HwYMGCDc3Nx0XQBs3LhRODg4iI8//lg3D7dH4YqPjxdnz54VZ8+eFQDEnDlzxNmzZ8Xt27eFEAWz/mNiYoSTk5N45513RFhYmFizZo2wsLBgFwBU9AAYvC1fvlw3z9OnT8UHH3wg7OzshIWFhejRo4eIjIzUW86tW7dEp06dhLm5uXBwcBDjxo0TaWlpRfxqSqcXQxK3R9H666+/RO3atYVKpRLVq1cXy5Yt05uu1WrFZ599JpycnIRKpRJt27YV4eHhevM8fvxY9O3bV1hZWQm1Wi0GDRok4uPji/JllApxcXFi1KhRwsPDQ5iZmYlKlSqJTz/9VO9UcW6PwnXgwAGDvxkDBgwQQhTc+j937pxo1qyZUKlUws3NTXzzzTdF9RJzRSFEpi5MiYiIiAgA2yQRERERGcSQRERERGQAQxIRERGRAQxJRERERAYwJBEREREZwJBEREREZABDEhEREZEBDElEREREBjAkERERERnAkEREJLM7d+6gVatWqFmzJnx8fLBu3Tq5SyIiALwsCRGRzCIjI3H//n34+voiKioK/v7+uHLlCiwtLeUujahM454kIsq1Vq1aYfTo0bI9vxACQ4cOhb29PRQKBUJDQwt0+bl5fYWxDlxcXODr6wsAcHZ2hoODA6Kjowv0OYgo70zkLoCISo6NGzfC1NRUtuffuXMnVqxYgYMHD6JSpUpwcHAo0OXL/foA4PTp09BoNHB3d5e1DiJiSCKiPLC3t5f1+a9fvw4XFxc0adKkQJebmpoKpVIp++uLjo5G//798cMPP8haBxFJeLiNiPSsX78ederUgbm5OcqVK4d27dohMTERgP6hplu3bkGhUGS5tWrVCgCg1WoRHBwMLy8vmJubo27duli/fn2Oz52SkoKRI0fC0dERZmZmaNasGU6ePAkAGDhwID788ENERERAoVDA09Mz2+XEx8ejX79+sLS0hIuLC+bOnatXe6tWrTBixAiMHj0aDg4OCAwMzPL6ACAxMRH9+/eHlZUVXFxcMHv27LyvUAC///47zM3NERkZqRs3aNAg+Pj4IDY2Vvfau3fvjgkTJhR4CCSi/GFIIiKdyMhI9O3bF++++y4uXbqEgwcP4vXXX4eh8zvc3d0RGRmpu509exblypVDixYtAADBwcH49ddfsWTJEly4cAFjxozB22+/jUOHDmX7/B9//DE2bNiAX375BWfOnEHlypURGBiI6OhozJ8/H9OmTUOFChUQGRmpC0+GjB07Fn///Tf+/PNP7NmzB0eOHMGZM2f05vnll1+gVCrx999/Y8mSJQaXM378eBw6dAhbtmzB7t27cfDgwSzLWbFiBRQKRba1AECfPn1QtWpVfP311wCAKVOmYO/evdixYwdsbGwghMDAgQPRpk0bvPPOOzkui4iKkCAieub06dMCgLh165bB6S1bthSjRo3KMv7p06eiUaNG4rXXXhMajUYkJycLCwsLcezYMb35Bg8eLPr27Wtw2QkJCcLU1FSsWrVKNy41NVW4urqKGTNmCCGEmDt3rqhYsWKOryEuLk6YmpqKdevW6cbFxMQICwsLXe0tW7YUfn5+Ob6++Ph4oVQqxR9//KGb/vjxY2Fubq63DjZu3CiqVauWY01CCPHXX38JlUolpk+fLuzs7ERYWJhu2pEjR4RCoRB169bV3f7999+XLpOIChfbJBGRTt26ddG2bVvUqVMHgYGB6NChA958803Y2dnl+Lh3330X8fHx2LNnD4yMjHDt2jUkJSWhffv2evOlpqbCz8/P4DKuX7+OtLQ0NG3aVDfO1NQUDRs2xKVLl3L9Gm7cuIG0tDQ0bNhQN87GxgbVqlXTm8/f3z/H5Vy/fh2pqalo1KiRbpy9vX2W5fTo0QM9evR4aV2vvfYaatasiWnTpmH37t2oVauWblqzZs2g1WpfugwiKloMSUSkY2xsjD179uDYsWPYvXs3FixYgE8//RQnTpyAl5eXwcdMnz4du3btwj///ANra2sAQEJCAgBg27ZtcHNz05tfpVIV7ovIpaLug2jnzp24fPkyNBoNnJycivS5iSh/2CaJiPQoFAo0bdoUU6dOxdmzZ6FUKrFp0yaD827YsAHTpk3DH3/8AW9vb934mjVrQqVSISIiApUrV9a7ZXdqu7e3t66NUIa0tDScPHkSNWvWzHX9lSpVgqmpqV6bpdjYWFy5ciXXy8iox9TUFCdOnNCNe/LkSZ6XAwBnzpxBr1698NNPP6Ft27b47LPP8rwMIip63JNERDonTpzAvn370KFDBzg6OuLEiRN4+PAhatSokWXesLAw9O/fH5988glq1aqFqKgoANCdSv/RRx9hzJgx0Gq1aNasGWJjY/H3339DrVZjwIABWZZnaWmJYcOGYfz48bC3t4eHhwdmzJiBpKQkDB48ONevwdraGgMGDNAtx9HREVOmTIGRkdFLG1hnZmVlhcGDB2P8+PEoV64cHB0d8emnn8LISP9/y02bNmHixIm4fPmyweXcunULXbp0waRJk9C3b19UqlQJAQEBOHPmDOrVq5freoio6DEkEZGOWq3G4cOHMW/ePMTFxaFixYqYPXs2OnXqlGXeU6dOISkpCdOnT8f06dN141u2bImDBw/iyy+/RPny5REcHIwbN27A1tYW9erVw6RJk7J9/m+++QZarRbvvPMO4uPjUb9+fezateulbaJeNGfOHLz//vt47bXXoFar8fHHH+POnTswMzPL03JmzpyJhIQEBAUFwdraGuPGjdOdsp8hNjYW4eHhBh8fHR2Njh07olu3bpgwYQIAoFGjRujUqRMmTZqEnTt35qkeIipavHYbEZV6iYmJcHNzw+zZs/O0V4qIyjbuSSKiUufs2bO4fPkyGjZsiNjYWEybNg0A0K1bN5krI6KShCGJiEqlWbNmITw8HEqlEv7+/jhy5EiBX+uNiEo3Hm4jIiIiMoBdABAREREZwJBEREREZABDEhEREZEBDElEREREBjAkERERERnAkERERERkAEMSERERkQEMSUREREQGMCQRERERGcCQRERERGQAQxIRERGRAQxJRERERAb8H1qt2T4AIZD4AAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "plt.plot(size, t_self, label=\"dist.ev(f)\")\n", + "plt.plot(size, t_dist, label=\"ce(dist, f)\")\n", + "plt.title(\"Time to calculate expectation of a function of shocks to income.\")\n", + "plt.ylabel(\"time (s)\")\n", + "plt.xlabel(\"size of grid: $x^2$\")\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Aliases for the new `expected()` method\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There is a top-level alias for the new `expected()` method to make it clearer as a mathematical expression. The way to access it is as follows:\n", + "\n", + "`expected(func, dstn, *args)`\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:27.638871Z", + "iopub.status.busy": "2024-07-11T15:30:27.638525Z", + "iopub.status.idle": "2024-07-11T15:30:27.641144Z", + "shell.execute_reply": "2024-07-11T15:30:27.640676Z" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "from HARK.distributions import expected" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:27.642604Z", + "iopub.status.busy": "2024-07-11T15:30:27.642379Z", + "iopub.status.idle": "2024-07-11T15:30:27.954010Z", + "shell.execute_reply": "2024-07-11T15:30:27.953437Z" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 1. , 1.57585002, 2.15170003, 2.72755005, 3.30340006,\n", + " 3.87925008, 4.4551001 , 5.03095011, 5.60680013, 6.18265014,\n", + " 6.75850016, 7.33435017, 7.91020019, 8.48605021, 9.06190022,\n", + " 9.63775024, 10.21360025, 10.78945027, 11.36530029, 11.9411503 ,\n", + " 12.51700032, 13.09285033, 13.66870035, 14.24455036, 14.82040038,\n", + " 15.3962504 , 15.97210041, 16.54795043, 17.12380044, 17.69965046,\n", + " 18.27550048, 18.85135049, 19.42720051, 20.00305052, 20.57890054,\n", + " 21.15475056, 21.73060057, 22.30645059, 22.8823006 , 23.45815062,\n", + " 24.03400063, 24.60985065, 25.18570067, 25.76155068, 26.3374007 ,\n", + " 26.91325071, 27.48910073, 28.06495075, 28.64080076, 29.21665078,\n", + " 29.79250079, 30.36835081, 30.94420082, 31.52005084, 32.09590086,\n", + " 32.67175087, 33.24760089, 33.8234509 , 34.39930092, 34.97515094,\n", + " 35.55100095, 36.12685097, 36.70270098, 37.278551 , 37.85440102,\n", + " 38.43025103, 39.00610105, 39.58195106, 40.15780108, 40.73365109,\n", + " 41.30950111, 41.88535113, 42.46120114, 43.03705116, 43.61290117,\n", + " 44.18875119, 44.76460121, 45.34045122, 45.91630124, 46.49215125,\n", + " 47.06800127, 47.64385128, 48.2197013 , 48.79555132, 49.37140133,\n", + " 49.94725135, 50.52310136, 51.09895138, 51.6748014 , 52.25065141,\n", + " 52.82650143, 53.40235144, 53.97820146, 54.55405148, 55.12990149,\n", + " 55.70575151, 56.28160152, 56.85745154, 57.43330155, 58.00915157])" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "expected(func=m_next, dist=IncShkDstn, args=(aGrid, R))" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:30:27.970063Z", + "iopub.status.busy": "2024-07-11T15:30:27.966031Z", + "iopub.status.idle": "2024-07-11T15:30:27.986446Z", + "shell.execute_reply": "2024-07-11T15:30:27.986012Z" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "3.7147215033527026" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "expected(func=lambda x: 1 / x[0] + x[1], dist=IncShkDstn)" + ] + } + ], + "metadata": { + "jupytext": { + "formats": "ipynb,py:percent" + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + }, + "vscode": { + "interpreter": { + "hash": "ab336f3885e19cdf99951e4b73ee65835b5095c97279903ad09e0692d3a202c7" + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 } diff --git a/examples/MonteCarlo/Generic Monte Carlo Perfect Foresight.ipynb b/examples/MonteCarlo/Generic Monte Carlo Perfect Foresight.ipynb index 0ad3149c8..efd583bac 100644 --- a/examples/MonteCarlo/Generic Monte Carlo Perfect Foresight.ipynb +++ b/examples/MonteCarlo/Generic Monte Carlo Perfect Foresight.ipynb @@ -1,2047 +1,2047 @@ { - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "be704ca8", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:01.511370Z", - "iopub.status.busy": "2024-07-11T15:34:01.511125Z", - "iopub.status.idle": "2024-07-11T15:34:02.453530Z", - "shell.execute_reply": "2024-07-11T15:34:02.452849Z" - } - }, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "from HARK.ConsumptionSaving.ConsIndShockModel import PerfForesightConsumerType" - ] - }, - { - "cell_type": "markdown", - "id": "d0698156", - "metadata": {}, - "source": [ - "## Original Perfect Foresight Example" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "83e6f76e", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:02.455570Z", - "iopub.status.busy": "2024-07-11T15:34:02.455300Z", - "iopub.status.idle": "2024-07-11T15:34:02.458615Z", - "shell.execute_reply": "2024-07-11T15:34:02.458150Z" - } - }, - "outputs": [], - "source": [ - "PFexample = PerfForesightConsumerType()\n", - "PFexample.cycles = 0\n", - "\n", - "SimulationParams = {\n", - " \"AgentCount\": 3, # Number of agents of this type\n", - " \"T_sim\": 120, # Number of periods to simulate\n", - " \"aNrmInitMean\": -6.0, # Mean of log initial assets\n", - " \"aNrmInitStd\": 0, # 1.0, # Standard deviation of log initial assets\n", - " \"pLvlInitMean\": 0.0, # Mean of log initial permanent income\n", - " \"pLvlInitStd\": 0.0, # Standard deviation of log initial permanent income\n", - " \"PermGroFacAgg\": 1.0, # Aggregate permanent income growth factor\n", - " \"T_age\": None, # Age after which simulated agents are automatically killed,\n", - " \"LivPrb\": [0.98],\n", - "}\n", - "\n", - "PFexample.assign_parameters(**SimulationParams)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "e0f219ec", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:02.459993Z", - "iopub.status.busy": "2024-07-11T15:34:02.459770Z", - "iopub.status.idle": "2024-07-11T15:34:02.526989Z", - "shell.execute_reply": "2024-07-11T15:34:02.526448Z" - } - }, - "outputs": [], - "source": [ - "PFexample.solve()" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "c3981c6d", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:02.529193Z", - "iopub.status.busy": "2024-07-11T15:34:02.528717Z", - "iopub.status.idle": "2024-07-11T15:34:02.533233Z", - "shell.execute_reply": "2024-07-11T15:34:02.532754Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "PFexample" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "66cc08fb", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:02.534823Z", - "iopub.status.busy": 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-31.46916387],\n", - " [-12.42694183, -21.79728952, -31.95171268],\n", - " [-13.39233038, -22.525081 , -32.42202586],\n", - " [-14.33324028, -23.2344184 , -32.88041365],\n", - " [-15.25029222, -23.92576966, -33.32717843],\n", - " [-16.14409113, -1.27807355, -33.76261493],\n", - " [-17.01522664, -2.52615583, -34.18701038],\n", - " [-17.8642734 , -3.74259139, -34.60064474],\n", - " [-18.69179151, -4.92818269, -35.00379088],\n", - " [-19.49832683, -6.08371181, -35.39671474],\n", - " [-20.28441144, -7.20994102, -35.77967551],\n", - " [-21.05056386, -8.30761326, -36.15292583],\n", - " [-21.79728952, -9.37745262, -36.51671191],\n", - " [-22.525081 , -10.42016485, -36.87127373],\n", - " [-23.2344184 , -11.43643779, -37.21684518],\n", - " [-23.92576966, -12.42694183, -1.27807355],\n", - " [-24.59959082, -13.39233038, -2.52615583]])}" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "PFexample.track_vars = [\"who_dies\", \"mNrm\", \"pLvl\", \"aNrm\"]\n", - "PFexample.make_shock_history()\n", - "\n", - "PFexample.initialize_sim()\n", - "PFexample.simulate()" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "3b126cc4", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:02.617463Z", - "iopub.status.busy": "2024-07-11T15:34:02.617208Z", - "iopub.status.idle": "2024-07-11T15:34:02.693136Z", - "shell.execute_reply": "2024-07-11T15:34:02.692638Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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hEYsQ5GGn2dV9++Uk7qlDRDVWutpsJ1PtzN6zkRdc7KyQmiXH8egHQoVGVIbOe3UNGTLEAGFQTQ0Nr4OvD0TjyK0HuJ8lh6dj2R3b1fN76rrbwVoqQft6bvBztkFiRh4OXE/VVICIiKpD3bVZJhXDSiLW/Pfzzf3w26m7+CciAd0aegoZIhGAaiQ+CxcuNEQcVEPBng5oEeCCi/Hp2HoxES93qVfmfvX8ngZeDgAAsViEweF18N2h2/gnIoGJDxHViLprs31xtUdtaKs6+O3UXey6koxPhhTC3rpae2MT6Y3OQ11kuoaph7vKmbejnt/TwMtRc5t6eOzQjVRuYUFENaKu+Kjn96iFB7ignoc9HhcUYdeVZCFCIypD58RHLBZDIpFUeJBwnm/hB6lYhMsJGYhOLbt8NLp4qKuBt4PmtobejmhWxwkFRUpsZZMxIqoBTcXHuuznQOk5iJsiuFUOCU/nxOeff/7Bpk2bNMeGDRswd+5c+Pr6YtWqVYaIkbTkZi9Dj0aqMfRNF0qqPkqlEjeLE6EQT4cyjxkW7g8A2Mi9u4ioBiqq+AAl1eUTtx8iKeOxUeMiepLOg62DBw9+6rYRI0agadOm2LBhAyZPnqyXwKh6hob7Y19UKv6JSMDsvo0gEYvwMCcf6bkFEImeTnwGt/TDZzuicOleBm6lZKGBt2MFz0xEVLHc/PIrPgAQ4GaHdkFuOBObhs0RiXi9R4ixwyPS0Nscnw4dOmD//v36ejqqpmcaq7awSMrIw8nbqi0s1Cu6AlztYPvExEN3B2v0aKRqMvY3qz5EVE058oorPkBJo9VNF+5xCwsSlF4Sn8ePH2PFihWoU6eOPp6OasDGSoJBxRuXqoevop9Y0fWkEa3ZZIyIakZT8ZGVP9dzQJgvZFIxbqVm40pCpjFDIypD58TH1dUVbm5umsPV1RWOjo5YvXo1vvjiC0PESDoa3ko1b2fXlWRkyws1K7rqe5ef+PQM9YKzrRVSMtlkjIiqR1PxqWC5urOtFfo28QbAOYUkLJ3n+Pzf//1fmZ/FYjE8PT3Rvn17uLq66isuqoGWAS4I9rTHnfs52HE5STPUVXope2nWUgkGtVA1Gdt44R6bjBGRzqqq+ADAiNb+2HYpCf9GJuC9ZxtDJmVHFTI+nROfCRMmGCIO0iORSIThrfzxxe4b+Pv8PcQ8yAFQ8VAXAAxv7Y/fTt3F7qvJyMorgKONlbHCJSILkJNfsjN7Rbo28IS3kzVSMuU4cD0V/Zv5GCs8Io1qpdvp6en46quvMGXKFEyZMgXLli1DRkaGvmOjGhjWqg5EIuBMTBruZ8kBACGVJD4t/J0R7GmPvAIFdl5mkzEi0k2uvGRn9opIxCIMLW6h8fd5DneRMHROfM6dO4eQkBAsW7YMaWlpSEtLw9KlSxESEoILFy4YIkaqBl9nW3Sp76H5uY6LLRwqaRWvrhIBfEMiIt2pKz62lVR8gJLFFAdvpGq+lBEZk86Jz8yZMzFo0CDExsZqmhjGxMTgueeew4wZMwwQIlWXOpEBgPqVVHvUhrWqA7EIOBObhtji4TEiIm3kFjcwrGyODwDU93JEiwAXFCmU+Dfy6e11iAytWhWfd999F1JpSVYvlUoxZ84cnDt3Tq/BUc30a+qjqfJUNr9HzdfZFl0aqCY2s+pDRLrIkVc9x0dtROuS6jJ7+pCx6Zz4ODk5IS4u7qnb4+Pj4ejIrr+mxFYmwQvtAgAAnRt4VHG2ysjWJVtYsKcPEWlLU/GpZI6P2qDmfpBJxLienIWriezpQ8alc+IzevRoTJ48GRs2bEB8fDzi4+Oxfv16TJkyBS+88IIhYqQamDugMY692xM9i7szV6VPE29N52f29CEibWmzqkvN2c4KfZqqevqwukzGpnPi8+WXX2LYsGEYP348goKCEBQUhIkTJ2LEiBFYvHixIWKkGpCIRfB3tdP6fBsrCQa3VE0+/ItvSESkpcc6VHwAYETxHMR/IxOQX6gwWFxET9I58ZHJZFi+fDkePXqEyMhIREZGIi0tDcuWLYO1tbUhYiQjG9VGNTy2+2oyMnILBI6GiMyBunOzvRYVHwDo2sADXo7WeJRbgP1RKYYMjaiMarfNtLOzQ1hYGOrWrYs9e/YgKipKn3GRgJrVcUKojyPyCxXYcilR6HCIyMQVKZR4XKDepFS7io9UIsbw4jmFG87FGyw2oifpnPiMGjUKK1euBKDanLRNmzYYNWoUmjdvjo0bN+o9QDI+kUhUsuqCb0hEVAV10gMA9pX0C3uSurp85OZ9JGU81ntcROXROfE5cuQIunbtCgD4559/oFQqkZ6ejhUrVuCTTz7Re4AkjKHhdSAVi3DxXgZuJGcJHQ4RmbDc4qXsYhFgrcP+W/U87NEuyA0KJbCRcwrJSHROfDIyMuDm5gYA2LVrF4YPHw47OzsMHDgQt27d0nuAJAx3B2v0ClWtBPuLVR8iqkROfsn8HpFIpNNjR7VVVX3+PHcPCrbQICPQOfEJCAjAyZMnkZOTg127dqFv374AgEePHsHGxkbvAZJwRhe/IW2K4KoLIqqYpnmhliu6Sns2TNVoNS4tF2di0/QdGtFTdE58ZsyYgbFjx8Lf3x++vr7o0aMHANUQWFhYmL7jIwF1b+gJL0drpOXkYx9XXRBRBXLzdVvRVZqdTIrnW/gCAP48y+oyGZ7Oic8bb7yBkydPYvXq1Th+/DjEYtVTBAcHG3SOz6effopOnTrBzs4OLi4u5Z4TFxeHgQMHws7ODl5eXnjnnXdQWFhosJgsnVQixsg2qknO6/mGREQV0DQvrEbFBwBGFk9y3nElCZl5bKFBhlWt5ext2rTBwIEDkZCQoEksBg4ciM6dO+s1uNLy8/MxcuRIvP766+XeX1RUhIEDByI/Px8nTpzAL7/8grVr12LBggUGi6k2UK+6OHrrPhLSueqCiJ6WK1cvZde94gMA4QEuaODlgLwCBbZeZAsNMiydE5/c3FxMnjwZdnZ2aNq0qWbfrmnTpuHzzz/Xe4BqH374IWbOnFnhcNqePXtw7do1/O9//0PLli0xYMAAfPzxx/jmm2+Qn59vsLgsXV13e3QMdodSyUnORFQ+dcWnqp3ZKyISiTRfsjjcRYamc+Izb948XLx4EYcOHSozmbl3797YsGGDXoPTxcmTJxEWFgZvb2/Nbf369UNmZiauXr1a4ePkcjkyMzPLHFTWmOKNTv86x41LiehpuZrJzdWr+ADA0FZ1YCVRtdC4xo1LyYB0Tnw2b96MlStXokuXLmWWLTZt2hS3b9/Wa3C6SE5OLpP0AND8nJycXOHjFi1aBGdnZ80REBBg0DjNUb+mPnC2tUJC+mNuXEpETylZzl69ig8AeDhYo08T1Xv2+rNxeomLqDw6Jz7379+Hl9fTO33n5OTo3L9h7ty5EIlElR7Xr1/XNUSdzJs3DxkZGZojPp5l1ifZWEkwNFy1cekGlqGJ6Am5OuzMXpkxbQMBAP9EJGg2PSXSN53/Stu0aYPt27dj2rRpAKBJdn766Sd07NhRp+eaPXs2Jk6cWOk5wcHBWj2Xj48Pzpw5U+a2lJQUzX0Vsba25uaqWhjVJgBrT8Riz7VkPMyWw92B14yIVDQblFZzVZdal/oe8He1xb1Hj7HjcpJmLy8ifdI58fnss88wYMAAXLt2DYWFhVi+fDmuXbuGEydO4PDhwzo9l6enJzw9PXUNoVwdO3bEp59+itTUVE1Fau/evXByckKTJk308jtqsyZ+Tmju74xL9zKw6UICXummXUJKRJZPXxUfsViE0W0C8NXem9hwNp6JDxmEzkNdXbp0wcWLF1FYWIiwsDDs2bMHXl5eOHnyJFq3bm2IGAGoevRERkYiLi4ORUVFiIyMRGRkJLKzswEAffv2RZMmTTBu3DhcvHgRu3fvxvvvv4+pU6eyoqMn6jL0urNxUCo5yZmIVNRzfLTdmb0yI9sEQCwCzsSmITo1u8bPR/QknRKfgoICvPzyyxCJRPjxxx9x5swZzRJyQ3dtXrBgAcLDw7Fw4UJkZ2cjPDwc4eHhOHfuHABAIpFg27ZtkEgk6NixI1566SWMHz8eH330kUHjqk0GtfSDvUyCO/dzcDqGreWJSEW9qqs6nZuf5ONso9kncAMnOVsEU9vySKfEx8rKChs3bjRULJVau3YtlErlU4d6ywwAqFu3Lnbs2IHc3Fzcv38fX375JaTSmr8QScXBWopBLVWTnNed4RsSEamot6yobufmJ6mryxsvJEBeyEnO5mzWn5HosGg/4h7mCh2Khs5DXUOGDMHmzZsNEAqZgxfbqd6Qdl5OxqMcNoYkoprt1VWeHo084e2k2idw7zXuE2jOzsSkIS0nH7+ejBU6FA2d/0obNGiAjz76CMePH0fr1q1hb29f5v7p06frLTgyPWH+zmhWxwlXEjKx8cI9TOnKSc5EtZ1mry49zPEBVPsEjmoTgK8PRGPdmTg819xPL89LxpdXoBrm+vvCPbzdrxFsrPTzN1ITOic+P//8M1xcXHD+/HmcP3++zH0ikYiJTy3wYru6eO+fy/jjTBwmd6mnc/8mIrIsuZrl7PqbWjCmXSC+ORiN49EPced+NoI9HfT23GQ88gLV30Z6bgF2XUnGkOKecELSeagrJiamwuPOnTuGiJFMzKCWfrArnuR8hpOciWo9fVd8AKCOiy16NFJNcuacQvMlLzWx+ffTdwWMpES1dmen2s3BWorBLVWl5z/4hkRUqymVypI5Pnqs+ADA2PaqOYV/nb+HvAJOcjY3RQol8otKEp+zsY9wMyVLwIhUmPhQtbzYri4A1STnNE5yJqq15IUKzebF+qz4AECPRl7wc7bRDJOQeSm9Iq9rAw8AwB+nhf+yzMSHqkU9yTm/SIG/z3P/LiJzoVQq8cPh2zh0I1Uvz5dbak+tmnZufpJELMKY4pWkpjJMQtqTF5RUeyZ1DgIAbLpwT/B92Jj4ULW91F5V9fn9dBwUCnZyJjIHN1KysGjndbzx+wVk5RXU+PlyipsX2liJIRHrf6HD6LYBkIhFOBv7CDeShR8mIe3lFVd8rCQi9GjoBX9XW2TmFWLbpURB49I58YmLK3+7AqVSibg44UtYZDyDWvrB0UaKuw9zcSz6gdDhEJEWMh+rEpXc/CL8E5FQ4+fTdw+fJ3k72aB3Y9Uk5z9Y9TEr6qXsNlIJxGIRXiiu3gk9N1TnxKdevXq4f//+U7enpaWhXr16egmKzIOdTIrhrVSbCP7vFN+QiMxB6XkXv528W+N99zQruvTUtbk8Y4ury5siEjQbopLpU09It7ZSpRoj2/hDKhYhIi5d0EnOOic+SqWy3L4t2dnZsLGx0UtQZD7Uqy72RaUgKeOxwNEQUVVK75t0KzW7xi0pND18DFTxAYAu9T0Q6GaHrLxCbL1Y82GSmylZ+PNcPIfoDUy9lN1aqkqKvRxt8MFzTfD3fzqigZdwfZm0/kudNWsWAFWTwg8++AB2dnaa+4qKinD69Gm0bNlS7wGSaWvg7Yj29dxwOiYN687EY1afhkKHRESVeHLDyN9O3UX7YPdqP58hevg8SSwW4cX2gfh853X8evIuRrUJqFHj1Pf/uYIzsWkQQbUbPBmGuuJjY1VSY5nQKUigaEpoXfGJiIhAREQElEolLl++rPk5IiIC169fR4sWLbB27VoDhkqmamwHVRl6/Zk4FBSZ1i68RFSW+lu4p6M1AGD31WTcz5JX+/nUQ0/67uHzpFFtAiCTinE1MROR8ek1eq47D3IAqJI+MpySxEf4bSpK0/ov9eDBgwCASZMmYfny5XBycjJYUGRe+jf1gYeDDKlZcuyPSkH/Zr5Ch0REFVBXfMLqOCMtJx+R8en481w8pvasX63nyyke6jJkxQcA3OxleK65LzZdSMBvJ+8iPNC1Ws+TX6jAg2xVonfpXgYi49PRMsBFj5GSWslQl2ktINc5mjVr1sDJyQnR0dHYvXs3Hj9Wzeuo6QQ5Ml8yqWpDQQD43ymu7CMyZfLiqqxMIsa44mrtH6fjNE0IdaWp+Bhwjo+aOt5tl5Kq3Tg1JTOvzM+mtGu4pTHVio/OiU9aWhqeeeYZNGzYEM8++yySkpIAAJMnT8bs2bP1HiCZhxfbB0IkAo5FP8Dt+9lCh0NEFZCXWmkzsLkvXOyskJD+GAevV6+hoabiY8BVXWotA1wQVscZ+UUK/Hmueo1TkzJUiY+suApRkySKKqduYGj2ic+MGTNgZWWFuLi4MhOcR48ejV27duk1ODIf/q52eCbUG4BqiSwRmab8UhUfGyuJplr7azXnu+RqJjcbvuIjEok0VZ/fT9+tVpVKvfo0PMBF1X2+sPpJFFVO3TrB7Ie69uzZg8WLF8Pf37/M7Q0aNMDdu/zAq80mdFK9IW08fw/ZcvbaIDJF6jk+6orH2OJq7ZGb9xFTPOlXF+oGhoae46P2fAs/ONtaIT7tMQ7f1L1Kpa74+LnYYnyHIACqPmTVHeqjiuVZSsUnJyenTKVHLS0tDdbW1noJisxT5xAPBHvYI0teqJeOsESkf0/2Vqnrbo+ejVSdkatTrTV05+Yn2cokGNla9cW7OvEmFyc+Ps42miTq3qPqJVFUufKWs5sCnaPp2rUrfv31V83PIpEICoUCS5YsQc+ePfUaHJkXsViEcR1VVZ/fTsZywjuRCXqy4gMA44tft3+dj9fsvaUt9fnGmOOjpm6hcejmfdx9qFuVSj3U5edsUyaJ+pVD9HqXpxnqMvOKz5IlS7Bq1SoMGDAA+fn5mDNnDpo1a4YjR45g8eLFhoiRzMjw1v6wk0lwMyUbp+7UrCMsEelfeYlPtwaeCHJXdUbeHKlbtdbYFR8AqOdhj24NPaFU6l71SdJUfGwBlCRRh2/eR2w1hvqoYurJzdbmXvFp1qwZbt68iS5dumDw4MHIycnBsGHDEBERgZCQEEPESGbEycYKQ8PrAOAyUSJTVN6EU1W1NggA8MsJ3aq1xujcXJ6JxXMK/zwXr9P+XerEx9dZtcVSPQ97dC9Oolj10S91xcfG3Cs+Bw8ehLOzM+bPn48///wTO3bswCeffAJfX1988803hoiRzMz44jfQPde4fxeRqcmvoKnciNb+sLXSvVqr2avLwJ2bn9SjoRfqutshM0/7OYWlmxeqEx8AmNg5CADw1zndh/qoYnmWUvEZNmwYzp8//9Tty5cvx7x58/QSFJm3Rj6O6BDshiKFEr+zoSGRSdEsZ38i8XG2tcLQVrpXa4Wq+IjFJUvbta1SpWTmQalULeV3s5dpbu/ewBP1ihdmbOLCDL1RT6Q3+4rPF198gQEDBuD69eua27766issWLAA27dv12twZL4mFFd91p2J08zsJyLhaeZdlNNbRT3Jec+1FCSma1et1czxMXLFB1BtMKquUp2887DK85MzS1Z0ld7ktDpJFFXNYjo3T5kyBW+//TZ69+6N2NhYLF68GB999BF27NiBrl27GiJGMkN9mnjDz9kGD3Pyse1SktDhEFGxiio+ABDq44T29Yqrtae1m++iWdVl5IoPoKpSDSuuUv1yIrbK89XJXOlhLrURbfxhL5MgOjUbx6OrTqKoahaznB0A5syZg7Fjx6JNmzb4/PPPsXv3bnTu3FnfsZEZk0rEmsmSa47H8BsUkYlQDz/IJOUnKhM7BQFQ7d9VVbW2sEiheT5jruoqbUJxvHuvpeDeo9xKz01+YmJzaU42VhhevLR9rRZJFFXtyZ5RpkKrv9QVK1Y8dVudOnVgZ2eHbt264cyZMzhz5gwAYPr06fqNkMzWmLYBWL7/Jq4mZuLc3UdoG+QmdEhEtV5VO2b3aeKNOi62SEh/jH8jEzC6bWCFz5VbKjEyZh+f0hp6O6JTiDtO3H6I/52Kw9wBoRWe++RS9ieN7xiEX0/exf7rKYhPy0WA29PNekl7chOt+GiV+Cxbtqzc2yUSCY4fP47jx48DUDUzZOJDaq72MgwNr4N1Z+Kx9ngsEx8iE1BeH5/SpBIxxnesi0U7r2PN8ViMahNQZj5MaeoVXVKxCDKJcB9uEzsF4cTth1h/Ng5vPdMAthUMu6lXmZZX8QGA+l4O6NrAA0dvPcCvJ2Mxf2ATg8VcG5j1lhUxMTFaHXfu3DF0vGRm1GXoXVeTtZ4sSUSGk1/cW6WixAcAxrQNhK2VBNeTsyqdNFx6RVdFyZExPNPYGwFutkjPLah0aXtlQ11q6qG+DWe5tL2m8ixhk9KCggKEhIQgKirKUPGQhQn1cUKnEHcUKZT4rZq7PxOR/lQ11AUAznYlk4bXHI+t8Dyhevg8SSIWaVaSVjansKR5YflDXQDQs5EXgor7A226cE/vsdYmcnOu+KhZWVkhLy/PULGQhVJ/g1p3Jg6P87m0nUhIVQ11qU0qbuq3LyoFcQ/LnzSc8bgAACocWjKmUW0DYC+T4FZqNo5FP3jq/vxCBe4XNy/0qaTiIxaLMKlzPQCqpE/BXdurTdO52cTm+OgczdSpU7F48WIUFrIESNopXYbWdR8gItIv9XL2qoYf6ns5omsDj+KtHGLLPefIrfsAgMa+TnqNsTqcbKwwsk0AAGD1sZin7k/NKmle6F6qeWF5RrT2h6ONFHce5ODwzfsGibc2UK8KNLVVXTonPmfPnsWmTZsQGBiIfv36YdiwYWUOoieVLkOvPsal7URCKmlgWPWH0cvFlY8N5+KR/cR8F4VCia0XEwEAzzf303OU1TOxUxBEIuDgjfu4fT+7zH3q+T3eztYQiyufj2RvLcWYtqok6udykiiqmlKpLBlWNfeKj4uLC4YPH45+/frBz88Pzs7OZQ6i8oxqGwAHaylupWbjyK2ny9BEZByVNTB8UveGngj2sEdWXiH+Phdf5r7zcY+QlJEHR2spejTyNEisugrysMczod4AgLVPzE1KVM/vcap4fk9p4zsGQSwCjkU/wI3kLL3GWRvkFymg/o5ranN8dJ6RtmbNGkPEQRbOycYKo9oEYPXxGPx8LAbdG5rGGyVRbVJYpEBR8ZwVbZafq+a7BOGDf69izYlYjOsYBElxtURd7enb1MekPthe7hyEfVEp+Pv8PbzdtxGc7awAAMnqpewuFc/vKS3AzQ79mvpg55VkrDkeg8+HNzdYzJZIvZQdsIC9uoTy6aefolOnTrCzs4OLi0u554hEoqeO9evXGzdQqtCkzqpvUEdu3sfNFH6DIjI2dbUH0H74YXhrfzjbWuHuw1zsi0oBoEqgdlxWbUXzfAtf/QdaAx1D3BHq44jHBUVYd7Zkk+SS5oXaJT4A8HIX1VDfpogEPCyeGE3aUTcvFIkAK4lwrQ7KU63E5++//8aoUaPQoUMHtGrVqsxhKPn5+Rg5ciRef/31Ss9bs2YNkpKSNMeQIUMMFhPpRv0NCih/8iERGZZ6RRegXcUHAOxkUoxtr+re/PNR1ev25J2HeJCdD1c7K3Su76H/QGtAJBJp5ib9ciIWBcXJXlK6eqhL+8SnTV1XNPd3Rn6hAn+cjqv6AaRRemd2IXs8lUfnxGfFihWYNGkSvL29ERERgXbt2sHd3R137tzBgAEDDBEjAODDDz/EzJkzERYWVul5Li4u8PHx0Rw2NpX/kcvlcmRmZpY5yHAm8xsUkWDUiY9YpOrQrK0JnYJgJRHhTGwaLt1L1wxzDQjzhZWAHZsrMqilHzwcZEjKyNNUppKKd2b3ddFujg9QNon69dRdyAvZjkNbprpBKVCNxOfbb7/FqlWr8PXXX0Mmk2HOnDnYu3cvpk+fjoyMDEPEqJOpU6fCw8MD7dq1w+rVq6tcQbRo0aIyk7MDAgKMFGnt1LquK1oUf4P63yl+gyIypupuGuntZIPnildufXfoNnZdSQZgOqu5nmRjJcH44pWkPx1VrSRNrmK7iooMbO4LHycb3M+S49/IRH2HarHydFg9aGw6Jz5xcXHo1KkTAMDW1hZZWaq5GuPGjcO6dev0G52OPvroI/z555/Yu3cvhg8fjjfeeANff/11pY+ZN28eMjIyNEd8fHyl51PNiEQiTO4aDAD4jd+giIxKrmXzwvKoq7U7ryQjM68Q3k7WaFfPdPffe6lDXdhYiXE5IQMnbj9EalbVzQvLYyURY2JxM8efjt5hOw4tyU20eSFQjcTHx8cHaWlpAIDAwECcOnUKgGo/L13/IObOnVvuhOTSx/Xr17V+vg8++ACdO3dGeHg43n33XcyZMwdffPFFpY+xtraGk5NTmYMMa0AzH/g62+BBthz/RvAbFJGxaNu1uTzN6jijQ3BJojMwzE+zwssUudnLMLyVPwDgsx1RUCpVk2w97K11fq4X2gXCXibBzZRsNjTUkqluUApUI/Hp1asXtmzZAgCYNGkSZs6ciT59+mD06NEYOnSoTs81e/ZsREVFVXoEBwfrGqJG+/btce/ePcjlnEtiSqwkYk07/B/5DYrIaOQ13DRySpeS92NTW81VHvWqrKuJqrmb3k42VTYvLI+zrRVGt1VN8P7pKBdmaKOka7PpVXx07uOzatUqKBSqTG7q1Klwd3fHiRMnMGjQILz22ms6PZenpyc8PQ3XzyUyMhKurq6wttY9wyfDGtMuECv2R+NWajYO3biPnqFeQodEZPFqUvEBgF6hXhgWXgcSsQgtA1z0GJlhhHg6oHdjL+yLSgWg+/ye0iZ1DsLaEzE4Fv0A1xIz0cTPtEYHfjp6B7+cjMXqCW3RwNtR6HBKdW02vYqPzomPWCyGWFzyohkzZgzGjBmj16DKExcXh7S0NMTFxaGoqAiRkZEAgPr168PBwQFbt25FSkoKOnToABsbG+zduxefffYZ3n77bYPHRrpzsrHCi+0DserIHaw6coeJD5ERaLo2V3MlllgswtLRLfUYkeFN6RqsSXx8KtmVvSoBbnYYEOaL7ZeS8NOxO1g6qqWeItSPnVeSEZ/2GP+3/xa+edFwrWW0VbKqywISHwDIy8vDpUuXkJqaqqn+qA0aNEgvgT1pwYIF+OWXXzQ/h4eHAwAOHjyIHj16wMrKCt988w1mzpwJpVKJ+vXrY+nSpXjllVcMEg/V3MROQVh9LAYn7zzE5XsZCPPnlidEhqTZp8sEP4wMpX09N4TVccblhAz41aDiAwCvdA3G9ktJ2HoxEe/2D4W3Dj2BDC07T7WX2s7LSYh7mItAdztB49HszG4JQ127du3C+PHj8eDB0/stiUQiFBUZZpXO2rVrsXbt2grv79+/P/r372+Q302G4edii+db+OGfiASsOnoHX78QLnRIRBZNszO7CfbeMRSRSIRPhzbDiv23MLptzdqVtAxwQdsgV5yNfYTVx2Mwb0BjPUVZc+pNZBVK4Odjd/Dh4GaCxpNnwkm2zn/906ZNw8iRI5GUlASFQlHmMFTSQ5brleKl7TsuJyE+LVfgaIgsW03n+Jir5v4u+GlCWwR7OtT4uV7tFgIA+ONUHLLyCmr8fPpSOpYN5+KRlpMvYDSllrOb4N+azhGlpKRg1qxZ8Pb2NkQ8VMs08XNC1wYeKFIoseaJ3ZSJSL9quqqLgGdCvRDiaY8seSHWnTGNJqxKpVJT8anjYou8AgV+O3lX0Jgsajn7iBEjcOjQIQOEQrWVuuqz/mwcMnJN5xsUkaWprRUffRKLRXituOrz87GYMvufCeVxQREUxV1BpvWqDwD49WSsZoKxEOSWtJx95cqVGDlyJI4ePYqwsDBYWVmVuX/69Ol6C45qh64NPBDq44jryVn47VQs3uzVQOiQiCxSTTo3U4nB4X74cs8NpGTK8W9kAka2EXarI/XEZpEIGN7aHysPRuPeo8f4+/w9vNShriAxaTYpNcGKj86Jz7p167Bnzx7Y2Njg0KFDZXZdFYlETHxIZyKRCK/3CMFb6yOx5ngspnQNNskXC5G5K9mri4lPTVhLJXi5Sz18vvM6Vh25g+Gt/KvVGFFfsoqHuRyspbCSiDG5Sz18uPUafjp6By+0CxSkw7ZFbVI6f/58fPjhh8jIyEBsbCxiYmI0x507dwwRI9UCA8N84e9qi4c5+fjrHPdLIzIEDnXpz4vtA+FgLcWt1GwcvJEqaCzqio+jtaqWMapNAJxtrRD7MBe7ryYLElNJ52bT+xKr819/fn4+Ro8eXaaJIVFNSSVizVyfVUfvoLBI+HFzIktT0sDQ9D6MzI2TjRXGtldtY/HDYWG/9KsnNjvYqBIfe2spJnQKAgB8d+i2INsClQx1mV6uoHNEEyZMwIYNGwwRC9Vyo9oEwM1ehvi0x9hxRZhvKUSWrKSBoel9GJmjSZ3rwUoiwpnYNJy/myZYHFl5JUNdahM7BWl2pz8e/dDoMWkqPiY4bUHnOT5FRUVYsmQJdu/ejebNmz81uXnp0qV6C45qF1uZBBM7BWHp3pv47tBtPN/ct8wcMiKqmfziXmvV3bKCyvJxtsHQ8Dr489w9fHfoNn6a4Fb1gwygpOJT8nnsZi/DmLaBWHsiFt8eikaXBh5GjcmilrNfvnwZ4eHhEIvFuHLlCiIiIjSHev8souoa37Eu7GQSRCVl4sitp7uDE1H1cY6P/r3WPQQiEbAvKhXXkzMFiSG7uHmho3XZWsaUrvUgFYtw4vZDRManGzWmPBPuGaVzxefgwYOGiIMIAOBip/qWsvp4DL47FI3uDT2FDonIYnBVl/6FeDpgQDMf7LicjO8O3cbyMcbfeicnX5VkODyR+Pi72mFQSz9supCA7w/dxvfjWhstJrklVXyIDG1KV9W4+ak7aTh/95HQ4RBZjHwmPgbxRg9V08CtFxMR99D4W+9o5vjYPF3LeL27qtni7mvJiE7NNlpMprxJqelFRLWen4sthobXAQB8ezBa4GiILAeHugyjWR1ndGvoCYUS+OHIbaP//my5aqjryYoPADTwdkSfJt5QKoEfDhsvNrklbVJKZAyv96gPsQjYfz0V1xKFGTcnsjQlQ12m92Fk7t7ooaqs/HX+HlIz84z6uzV9fMqp+ADA68Wx/RORgIT0x0aJSbNJqQmuIDS9iIgA1POwx7NhvgCAbw+x6kOkD6z4GE77em5oFeiC/EIFfj4WY9TfnS1/ejl7aa0CXdEx2B2FCiVWGanqo1nVZYJJNv/6yWRN7akaN99+OQl37htvbJrIUqm/hXM5u/6JRCLNe9b/Tt1Fem6+0X53ZXN81NSbl64/G4/ULMNXpEr6+Jje35pWq7q2bNmi9RMOGjSo2sEQldbY1wnPhHph//VU/HD4DhaPaC50SERmTTPUZYIfRpagV6iXZsPltSdiMaN3Q6P83qoqPgDQMcQd4YEuiIhLx89HYzDv2cYGi6ewSIHC4u3iTbHio1XiM2TIkDI/i0SiMi2wSzeZKypukEWkD1N71cf+66nYFHEPb/VuAD8XW6FDIjJbJVtWMPExBJFIhDd71cebf0RgzfFYTO5SD442VlU/sIbUiU9Fc3w0sfWsj8m/nMP/Tt3F6z1C4GInM0g86gQbMOPl7AqFQnPs2bMHLVu2xM6dO5Geno709HTs2LEDrVq1wq5duwwdL9Uy6rHpgiIlVh3hJrhENaFeacM5PoYzoJkvgj3tkfG4AL+dumuU35mt2bKi8iSrV6gXGvs6ISe/CGuOxxosHvUwF2CarRN0jmjGjBlYvnw5+vXrBycnJzg5OaFfv35YunQppk+fbogYqZZ7s3hset2ZOKOvliCyJOqKD1d1GY5ErKqsAMBPR2OQm19o8N+ZJa96jg9QUvUBgDXHY5BV3PFZ3/IKSyqLYrHpbTukc+Jz+/ZtuLi4PHW7s7MzYmNj9RASUVmdQtzRKtAF8kIFqz5ENcBVXcYxqIUfAtxskZaTj3Vn4g36u+SFRZr/r5XN8VHr38wHIZ72yMwrNFhFSm7CE5uBaiQ+bdu2xaxZs5CSkqK5LSUlBe+88w7atWun1+CIANW3lOnPNAAA/H46Dg+y5QJHRGSe5Ca8f5IlkUrEmm7Oq47cLjP0o2858pLn1ibxkYhFmth+NlBFypQ3KAWqkfisXr0aSUlJCAwMRP369VG/fn0EBgYiISEBP//8syFiJEL3hp5o7u+MxwVF+OmocXtkEFkKbllhPMNb+cPX2QYpmXL8ff6ewX6Pen6PnUwCiZbDSoNb+qGuux0e5uTj91Nxeo/JlDcoBaqR+NSvXx+XLl3C1q1bMX36dEyfPh3btm3D5cuXUb9+fUPESKSq+vRSVX1+PRmLRznG65FBpIv8UitaTElhkQLFK4w51GUEMqkY/yneJ+u7Q7cN9neRVcl2FRWRSsSankM/HLmNx/n6rUiZ8galQDUbGIpEIvTt2xevvvoqpk2bhj59+pRZ0k5kCM809kITXyfk5hdh9XFWfcj0vPnHBXRefADxacbfqLIqpZcYM/ExjtFtA+DlaI2E9McGq/pka9G8sDxDw+sgwM0WD7Lz8ccZ/VZ98kx4uwqgGomPQqHAxx9/jDp16sDBwQExMaoPoA8++IBDXWRQqrk+qm8pa4/HIiPXMCsSiKrrdEwa7mfJ8Y0Jbq5buuLAPj7GYWMl0VR9vjkYbZCqj6aHjw4VHwCwkogxtXiuz/eH9TsPSTO52URXD+r81//JJ59g7dq1WLJkCWSykuZHzZo1w08//aTX4Iie1LeJDxp5OyJLXsiqD5kc9YfH3+fvmVzVR72UXSIWQcrEx2hebB8Iz+Kqz8YL+q/6ZGu5lL08w1r5o46LLe5nybFOj1WfksnNpvl3pnNUv/76K1atWoWxY8dCIinJ5lq0aIHr16/rNTiiJ4nFIkwrrvqsPhbDqg+ZFPVwUqFCaXJVH03zQiY9RmXoqo9mny4dKz6AasjzjZ6q2PRZ9dHszG4pFZ+EhIRyJzErFAoUFPBDiAzv2Wa+mqrPz8fY14dMg1KpLPOhZmpVn/wi0+6tYsnGFld97j16jE16rvqU7NNVva0xRrQuWX224ax+eg6pKz6m+remc1RNmjTB0aNHn7r977//Rnh4uF6CIqqMWCzCW71VK7xWH4816i7IRBUpPXm4VaCLyVV95IWs+AjFxkqC17oFAwBWHoxGQZH+qj7qyc2V7dNVGWupBG8Ur/D69lC0Xqo+6uewmIrPggUL8Oabb2Lx4sVQKBTYtGkTXnnlFXz66adYsGCBIWIkekr/pj4I9XFEtrwQPx/jXB8SXunEZ07/UACmVfWRs2uzoMa2rwsPB/1XfbTZmb0qo9r4w6+46qOPuT7qvzVrS1nOPnjwYGzduhX79u2Dvb09FixYgKioKGzduhV9+vQxRIxETxGLRZhRXPVZw6oPmQD1ShaxCGhfzw1dG3iYVNWHzQuFZSuT4D/dVVWfFfv1N9cnq5rL2UuzlkrwZnGftG8P1byvj6biYylDXQDQtWtX7N27F6mpqcjNzcWxY8fQt29ffcdGVKm+TXzQ2NcJ2fJC/HiUc31IWJpvuVIJRKKSxPzv8/cQ91D4qk/JPl2m+S28Nhjbvq5mhdef5/Qznya7Gg0MyzOitT/8XVUrvH4/XbM9vDRzfEz0b03nxOfll1/GL7/88tTtmZmZePnll/USFJE2Sld91h6PRRq7OZOA5E80bWtd1w3dGnqiUKHE8v23hAwNAIe6TIGtTIKpPVSrqFYe0M98Gk0fnxpUfADV34W6O/53h27XaA+vJ18LpkbnqNauXYs33ngD06dPh0JRUqp7/PhxuQkRkSH1beKNpn5OyMkvwg9HbgsdDtVi5X3Lnd2nIQDgn4h7iE7NFiQuNQ51mYYx7QLh62yD5Mw8vcynya7BcvYnDW1VR7OH168nq1/1sbhNSgFg+/bt2LFjB/r164dHjx7pO6anxMbGYvLkyahXrx5sbW0REhKChQsXIj+/7Df8S5cuoWvXrrCxsUFAQACWLFli8NhIWCKRCLP7qj5cfjkRi9TMPIEjotqqZEJnydtqiwAX9G7sDYUSgld9NMvZmfgIysZKgjd7qVZRfXOw5vNpsvQwuVnNSiLGtOKqzw+Hb2uqSbqyuE1KAdWS9tOnT6OgoADt2rVDVFSUvuMq4/r161AoFPjhhx9w9epVLFu2DN9//z3ee+89zTmZmZno27cv6tati/Pnz+OLL77Af//7X6xatcqgsZHwejbyQnigC/IKFPj2EKs+JAx5BW/2s4qrPlsvJiIqKdPocanJC1jxMRUjWwfA39UWD7Ll+O1UbI2eq7p7dVVkSEs/BHvY41FuAdZUc8WsXDO52UIqPurNSN3d3bFv3z50794dHTt2xJYtW/QenFr//v2xZs0a9O3bF8HBwRg0aBDefvttbNq0SXPO77//jvz8fKxevRpNmzbFmDFjMH36dCxdutRgcZFpEIlEeLtvIwDAH6fjkJD+WOCIqDaSVzChs4mfEwY29wUALNt70+hxqam3rOAcH+HJpGJMf0ZVWfn+8J1qV1aA0nt1Va+B4ZOkErGmT9qqo3eq1R1fXf20mDk+SqVS899SqRQ//fQTFixYgDfeeEOvgVUlIyMDbm5ump9PnjyJbt26ldk/rF+/frhx40alw3FyuRyZmZllDjI/nULc0SHYDflFCqw8IPxEUqp9Kqr4AMDM3g0gFgF7rqXg8r0MY4cGoNSqLjYwNAnDwusgyN0OaTn5WFvNfQeLFErkFg+V6aviAwDPN/dDqI8jsvIKqzV3Ms/SNik9ePBgmYQDAGbNmoWdO3carYFhdHQ0vv76a7z22mua25KTk+Ht7V3mPPXPycnJFT7XokWL4OzsrDkCAgIMEzQZVOmqz5/n7iH2QY7AEVFtU/It9+k3+/pejhjSsg4A4Ms9N4wal1rp5fYkPKlEjJnFw6A/HLlTrV5kpStF9tb6+/8qFos0Q7RrjsfifpZcp8db3Cal3bt3h1T6dGbZu3dvLFy4UKfnmjt3LkQiUaXHkxufJiQkoH///hg5ciReeeUVXcN/yrx585CRkaE54uP101uBjK9NkBt6NPJEkYksH6bapao5NG/1bgCpWITDN+/jTEyaMUMDwOXspqhsZUX3XmTqxEcmFes9oe3TxBstAlzwuKBI5yacpr5JqVa1sVmzZuHjjz+Gvb09Zs2aVem5usypmT17NiZOnFjpOcHBwZr/TkxMRM+ePdGpU6enJi37+PggJSWlzG3qn318fCp8fmtra1hbW2sdM5m22X0a4dCN+9gcmYD/dA9BIx9HoUOiWkIz1FXBt9y67vYY1TYAf5yOw5Jd1/HXfzpq5kwaQz4TH5MjFqsq1VN+PYc1x2MwqXMQvBxttH68Zp8uPazoepKqit4Q434+gz9Ox+GVbsGo42Kr1WNLNik148QnIiJCs/N6REREhefp+iL29PSEp6enVucmJCSgZ8+eaN26NdasWQOxuOyLt2PHjpg/fz4KCgpgZaWa5LV37140atQIrq6uOsVF5ivM3xkDmvlg55VkfLnnBn4c30bokKiW0KZb7fReDbDx/D2cu/sIB2+koleod4Xn6ltlc5BIOM80Vq1KjYhLx8oD0fhocDOtH6vp2qzH+T2ldanvgQ7Bbjh1Jw1f77+Fz4c31+pxJXN8TPNvTauoDh48CBcXF81/V3QcOHDAIEEmJCSgR48eCAwMxJdffon79+8jOTm5zNydF198ETKZDJMnT8bVq1exYcMGLF++vMoKFVme2X0bQiwC9l5Lwfm7hu8zRQRol1j4ONtgYqcgAMAXu29CoVBWeK6+seJjmkQiEd7pp5qfuO5MnE6b2mbpsXlhVbH9df4e7tzXrglnZfPdTIFZvAL27t2L6Oho7N+/H/7+/vD19dUcas7OztizZw9iYmLQunVrzJ49GwsWLMCrr74qYOQkhPpejhjR2h8AsGTX9TIrEYkMRds3+/90D4GjtRRRSZnYeinRGKEBYOJjyjqFeKBrAw8UFCnxf/u0n5+oj53Zq9K6rht6hXqhSKHEV3u0a8dg6puUanW1hg0bpvUTlu6toy8TJ06sci4QADRv3hxHjx7V++8n8/NW74bYHJmI0zFpOHLrAbo31G5Ilai65FpuCeFqL8Or3YLx1d6bWLb3Jp4N84WVEZaYc1WXaXu7byMcvfUA/0Tcw2vdg9HQu+r5iZo5PgYa6lKb078RDt5IxfbLSXjtXjqa+7tUeK5SqTT5vzWtXm2ll3tXdRCZgjouthjXoS4A4Ivd1406pEC1k1yHeQ2TutSDu70MsQ9z9bZLd1VY8TFtLQJc0L+pDxRKYMku7VoeGKPiAwChPk4YWtyOoarY1EkPYOYVnzVr1hg6DiK9e6NHCDacjceVhEzsuJKE55r7CR0SWbCSvbqq/pbrYC3F1J718dG2a1i+7xaGhteBncywH17qzs3WbGBost7p3wh7o1KwLyoFZ2PT0DbIrdLzs/S8XUVlZvZpiK2XEnEs+gGO3XqALg08yj1P3dYB4BwfIqNzd7DGlK71AABf7bmJgiJFFY8gqj5dV7KM7RAIf1dbpGbJseZ4rAEjU6lquT0JL8TTAaPaqOYnLt5Z9fzEkoqPfrarqEyAmx3GtldV0RfvqriKrt6gVCwCpGLjtWvQRbVeAX///TdGjRqFDh06oFWrVmUOIlMypWswPBxkiHmQg/Vn4oQOhyyYtnN81KylEs2Kme8P3UZaju6de3XBLSvMw1vPNISNlRjn7j7CvqjUSs/NkRtnjo/am73qw14mweWEDOy4klTuOXmlNig1Zp8qXej8ClixYgUmTZoEb29vREREoF27dnB3d8edO3cwYMAAQ8RIVG0O1lLNZoDL99+q0WaARJXRZahL7fnmfmji64QseSFWHtCtO66uOMfHPPg42+DlzqpK9ZJd11FUyfzELCPN8VHzcLDGK91UTYW/3H2j3Cq6qS9lB6qR+Hz77bdYtWoVvv76a8hkMsyZMwd79+7F9OnTkZEhzOZ7RJV5oV0g6nnY40F2Pn6sRlt4Im1Up0GgWCzC3AGhAIDfTsXq1MNFV6a+0oZKvNY9BM62VriVmo2NF+5VeF62gfv4lEddRY99mIt15VTRNRUfE06wdY4sLi4OnTp1AgDY2toiKysLADBu3DisW7dOv9ER6YGVRKwZUvjx6B2kZuUJHBFZIrkWnZvL062hJ7rUV/VwWbpXuz4p1cGKj/lwtrXCmz3rAwCW7b2pSSaepJnjY6ShLkCVZL3VW7WB6fJ9t5CVV1DmflPfrgKoRuLj4+ODtDTVBnuBgYE4deoUACAmJoaN4shkDWjmg5YBLsjNL8JyHRqEEWkrrwaTh9/tr6r6bI5MwJUEw1TOuUmpeRnXsS7quNgiKSMPPx+LKfccQ+7VVZkxbQMQ7GGPhzn5+OFw2Sq6qW9XAVQj8enVqxe2bNkCAJg0aRJmzpyJPn36YPTo0Rg6dKjeAyTSB5FIhHnFQwrrz8bjtpat14m0VdXu7JUJ83fG8y38oFQCi3ZGGeRLpK6Tr0lYNlYSvN1PVVn57tBtPMyWP3WOEBUfQFVFf7f4/fSnY3eQnFFSRbfIOT6rVq3C/PnzAQBTp07F6tWr0bhxY3z00Uf47rvv9B4gkb60D3ZH78aq1uuLd14XOhyyMDWdQzOnXyPIJGIcj36IQzfv6zM0AEB+cUWKFR/zMbhFHTSr44RseSGW73+6Uq0eZjLmHB+1vk280aauK/IKFFi6t6SpoUVWfMRiMaTSkos8ZswYrFixAtOmTYNMJtNrcET6NndAKCRiEfZcS8GpOw+FDocsiHpyc3W71Qa42WFi5yAAwGfbo1Co575T6gaGXM5uPsRiEd57tjEA4I/TcWU2CVUqlYJVfIDiKnpxbH+fv4fryZkAyi5nN1XVegXk5eXhzJkz2LZtG7Zs2VLmIDJl9b0cMaZtAADg0+1R3MqC9EYfq6am9qgPFzvVap4/z1W8mkdXZfZPYgNDs9IpxAO9Qr1QqFBi8a6SSvXjgiKo374cjdDAsDyt67piQDPVNhuLdqhiKxnqMt2/M53TxF27dmH8+PF48ODBU/eJRCIUFZU/+5zIVMzs0xD/RibickIGtlxMxJDwOkKHRBagJnN81JztrDC9VwN8tO0alu69iUEt/fQyjFGoUEI9bchaYrrfxKl88waE4tCNVOy+moIzMWloV89NM7FZIhYJmmTM6R+KfVEpOHzzPg7fvF9qqMt0/850vlrTpk3DyJEjkZSUBIVCUeZg0kPmwMPBGq/3CAGgahBW0VJRIm0plcoareoq7aUOdVHX3Q4PsuVYdfi2PsLTLGUHOMfHHDXwdsTotoEAgE93qCrVpZsXCtkhuZ6HPcZ3DAKgGqLNza/ZkK8x6BxZSkoKZs2aBW9vb0PEQ2QUk7vUg5+zDRIrWSpKpK2ColIVlRp+05VJxZhbvLx91dE7SMp4XNPwyuyYzcTHPM3s0wD2Mgkuxqdjy8VEQZoXVmRar/pwtrXCjZQs/HkuHoCFzfEZMWIEDh06ZIBQiIzHxkqCd/qrmhp+d+g27mc9vVSUSFvqic2Afr7p9m/mo1kx88WuG1U/oArqio9ULILERDeOpMp5OdrgjeKmhot3Xde8Zxlrn67KuNjJ8Fbx1kD3HqkSdVNe1aXzFVu5ciVGjhyJo0ePIiwsDFZWZSdVTZ8+XW/BERnS4BZ1sPpYLC4nZGDp3ptYNCxM6JDITJWpqOhh1ZRIJMIHzzXB4G+OY1NEAiZ0CkKLAJdqPx+7NluGyV3q4Y/TcUhIf6xZ3m4KFR9ANUT726m7iHmQA8C0Kz46X7F169Zhz549sLGxwaFDh8qMLYpEIiY+ZDbEYtWHy6gfTmLD2TiM61AXTfychA6LzFDp5oD6mm/RIsAFw1rVwaYLCfh42zX89Z+O1X7u6uwjRqbHxkqCdweEYvq6CFwu7vAtxFL28sikYswbEIpXfzsPwLQTH51fBfPnz8eHH36IjIwMxMbGIiYmRnPcucMNIMm8tKvnhoFhvlAogY+3XeO2KwZ0P0uOg9dTLfIayw3UtG1Ov1DYWklw7u4jbL+cVO3n4XYVluP55r5oFeii+dlUKj4A0KeJNzoGuwMAvJ1sBI6mYjq/CvLz8zF69GiIxXwBkWWYOyAUMqkYJ+88xJ5rKUKHY7E+3X4Nk9aexY9HLe8LkqE2ZvRxtsF/uqtWIC7aUf0ViJrmhUx8zJ56GFTNFOb4qIlEIvwwvjWWj2mJ51v4Ch1OhXR+FUyYMAEbNmwwRCxEgghws8MrXesBAD7bEVVmoirpT2K6aj+fFfujkZqVV8XZ5sWQQ0mvdguGr7MNEtIfV3sFYnV3jifTFB7oiiEt/QAAfs62AkdTlpONFQa3rGPSf2s6p4pFRUVYsmQJdu/ejebNmz81uXnp0qV6C47IWN7oUR9/nruHuw9zsfZ4LF4r/pZN+qNODrLlhfhy9w0sGdFC4Ij0x5AbM9rKJHi3fyhmbIjENwejMaK1v87DCNyuwvJ8Prw5eoZ6oVeol9ChmB2dXwWXL19GeHg4xGIxrly5goiICM0RGRlpgBCJDM/eWoo5/VTL278+EM3l7QagHg4CgL/O38Ole+nCBaNnht75fFALP4QHuiA3v6haG+yq5yBxqMty2FhJMLhlHTjaCLNdhTnTqeJTVFSEDz/8EGFhYXB1dTVUTESCGN7KH7+duotL9zKwZNd1fDHScioSpkBd8Qn2tMed+zn4cOs1/F2DlUqmxFCTm9XEYhH++3xTDPlWtbx9bIdAtK7rpvXj1RUfruoi0rHiI5FI0LdvX6SnpxsoHCLhiMUiLHy+KQBVRSIyPl3YgCyMuuLz3oDGsLWS4PzdR9hyMVHgqPQjTw8blFalRYALRrVWbbD73y3XdNpgl318iEro/Cpo1qwZl62TxWpd1xXDWqk2LV245Sp3b9cjdcWnrrsdpvYsWamUm18oZFh6oan4GHh/onf6N4KjtRSXEzLw1/l4rR9n6KE4InOi86vgk08+wdtvv41t27YhKSkJmZmZZQ4icze3fygcrKW4GJ+Ovy/cEzoci6Gu+NhYSTClazAC3GyRnJmHbw5GCxxZzRkrsfBwsMZbvVVbAyzZdQMZjwu0ely+ESpSROZC51fps88+i4sXL2LQoEHw9/eHq6srXF1d4eLiwnk/ZBG8nGww/RnVnjhLdl1HZp52Hy5UMaVSWWbJt42VBB8MVPUi+fFIjKbNvbky5KquJ03oFIQQT3s8zMnH8n23tHoMh7qISui8nP3gwYOGiIPIpEzsVA/rz8TjzoMcLN93q0zDMNJdQZES6lFDdZO/Pk280b2hJw7fvI//brmKtZPamu1EZ2NuCWElEWPh800xfvUZ/HIyFqPa+iPUp/KtVtTxcTk7UTUSn+7duxsiDiKTIpOKseD5Jpi45izWnojFqDYBaOTjKHRYZiuvVFNIdXIgEonw30FN0W/ZERy+eR/7olLRp4m3UCHWiLEbBHZr6Il+Tb2x+2oKFvx7FRte7VBp0qgZ6jLwHCQic1CtV0F6ejq++uorTJkyBVOmTMGyZcuQkZGh79iIBNWjkRf6NPFGkUKJBf9escg9poxFnRiIRGWrIvU87DGluGv2R9uuVntLBqHlCbAJ6AfPNYGNlRhnYtKqXB0nZwNDIg2dXwXnzp1DSEgIli1bhrS0NKSlpWHp0qUICQnBhQsXDBEjkWAWFH+4nNbiw4Uqlleqz82TlYk3e9WHr7MN4tMe4/vDt4UIr8Y0FR8jVlT8Xe3wZk/VXLRPt0chq5K5aOr4OMeHqBqJz8yZMzFo0CDExsZi06ZN2LRpE2JiYvDcc89hxowZBgiRSDgBbiUfLp9sj+JE52qSV7KqyE4mxfvFE52/O3QbcQ9zjRqbPmgmNxt51dQr3YIR5G6H1Cx5pROdSxoYclUXUbUqPu+++y6k0pLpQVKpFHPmzMG5c+f0GhyRKXilWzDqedjjfpYc/7dXu1U0VJa64mNTQUXk2TAfdKnvAXmhAgu3mN+womZys5Hn0FhLJVg4SNV0c82JWNxIzir3PK7qIiqh86vAyckJcXFxT90eHx8PR0dO/iTLYy2V4L/FHy6/nIxFVBL7VemqsooPoJro/NHgppBJxDh44z52X00xZng1VtW/z5B6NvJC3+K5aB9UMBdNzsSHSEPnV8Ho0aMxefJkbNiwAfHx8YiPj8f69esxZcoUvPDCC4aIkUhw3Rt6YkAzH9WHy+Yr7OisI3kVFR8ACPZ0wGvdgwEAH229ihy5+XR0NvReXVVZ8HwT2FpJcCYmDRsvJDx1f74Ak6+JTJXOr4Ivv/wSw4YNw/jx4xEUFISgoCBMnDgRI0aMwOLFiw0RI2JjYzF58mTUq1cPtra2CAkJwcKFC5Gfn1/mHJFI9NRx6tQpg8REtc8HzzWBnUyCc3cf4e/z7OisC20rIlN71keAmy0SM/KwYr/5DCvKBV4u7u9qp+no/NmOKDzKyS9zP4e6iEro/CqQyWRYvnw5Hj16hMjISERGRiItLQ3Lli2DtbW1IWLE9evXoVAo8MMPP+Dq1atYtmwZvv/+e7z33ntPnbtv3z4kJSVpjtatWxskJqp9/FxsMbN3QwDAZzujkPbEhwtVrKo5Pmo2VhL8t3ij2J+PxVQ4Z8XUGLuPT3kmd6mHht4OSMvJx5Ld18vcx726iEpU+1VgZ2eHsLAwhIWFwc7OTp8xPaV///5Ys2YN+vbti+DgYAwaNAhvv/02Nm3a9NS57u7u8PHx0RxWVlYGjY1ql4mdgxDq44j03AIs2hEldDhmo6TPTdWJwTONvdG3iTcKFUq8v/myWQwrqic3V5XYGZKVRIxPhoQBANadicf5u2ma+/KZ+BBp6PwqyMnJwQcffIBOnTqhfv36CA4OLnMYS0ZGBtzc3J66fdCgQfDy8kKXLl2wZcuWKp9HLpdzo1XSmpVEjM+GhUEkAv46fw+n7zwUOiSzINdsUKrdW87CQU1hJ5PgbOwjnXYhF4qQk5tLa1fPDSNb+wMA5v9zBYXFy9jVy9k51EVUjS0rpkyZgsOHD2PcuHHw9fUVZG+d6OhofP311/jyyy81tzk4OOCrr75C586dIRaLsXHjRgwZMgSbN2/GoEGDKnyuRYsW4cMPPzRG2GQhWgW64oV2gfjjdBzmb76CHdO78gOlCpoGhlpu4lnHxRaz+jTEJ9uj8NmO63imsTc8HAwzlK4PpjSUNO/ZxtgblYLryVn4+VgMXuseUtLAUMI+PkQ6Jz47d+7E9u3b0blz5xr/8rlz51Y5IToqKgqhoaGanxMSEtC/f3+MHDkSr7zyiuZ2Dw8PzJo1S/Nz27ZtkZiYiC+++KLSxGfevHllHpeZmYmAgIDq/HOoFnm3Xyh2X0lGdGo2fjx6B1OLmxxS+aqTGEzsFIR/IhJwNTETn2y7hv8bE26o8GqspDO18ImFm70M7w1ojDkbL2HZvpt4Nsy3pIEh9+oi0n2oy9XVtdwhpuqYPXs2oqKiKj1KD58lJiaiZ8+e6NSpE1atWlXl87dv3x7R0dGVnmNtbQ0nJ6cyB1FVnO2s8P5zjQEAy/ffQsyDHIEjMm15mqEu7RMDqUSMRcPCIBYBmyMTcfTWfUOFV2NCr+p60sg2/ugQ7Ia8AgXe33xFs9yee3URVSPx+fjjj7FgwQLk5ta8rbynpydCQ0MrPWQyGQBVpadHjx5o3bo11qxZA7G46tAjIyPh6+tb4ziJyjOkZR10beCB/EIF3tt02ey6DRuTvJp9ZJr7u2B8xyAAwPubr5jsJqZC9/F5kkgkwqdDwyCTiHH45n0kZuQB4BwfIqAaQ11fffUVbt++DW9vbwQFBT21asoQG5Wqk566deviyy+/xP37Jd/8fHx8AAC//PILZDIZwsNV5fBNmzZh9erV+Omnn/QeDxFQ/OEyJAx9/+8wTt55iL/O38OoNhwmLU91Kj5qs/s2xK4rybj7MBcr9t/CnP6hVT/IyDR7dVXj32coIZ4OeLNXfSzde1Nzm6kkZkRC0jnxGTJkiAHCqNzevXsRHR2N6Oho+Pv7l7mv9Lfsjz/+GHfv3oVUKkVoaCg2bNiAESNGGDtcqkUC3e0ws3dDLNp5HZ9uj0LPRl7wdDTdSbhCyatB52BHGyt8OLgpXvvtPFYduYPnmvuhiZ/pDEkXFilQWLzk3tQSi/90D8GWi4mITs0GwIoPEQCIlKzPl5GZmQlnZ2dkZGRwvg9ppbBIgUErj+NaUiYGtfDDihdMdxKuUGb/eREbL9zD3AGh+E/3kGo9x+v/O4+dV5LR3N8Zm17vBKmJzFfJkRei6cLdAICoj/rDVmY6VR8AOBubhpHfn4RYBFz4oA9c7GRCh0RkENp+fpvGOweRGZNKxFg8vDnEImDLxUQcvJ4qdEgmR13xsalBxeHDwU3hZCPFpXsZWHM8Vk+R1Zx6mAswzYpK2yA3fDu2Fb4Y0YJJDxGY+BDpRZi/M17uXA8A8N4/l5GVVyBwRKZFs6VDDebAeDnaYP5A1Uq6r/beQNzDmi+w0Af1xG0riQgSsfH7mmnj2TBfDG/tX/WJRLUAEx8iPZndtxEC3eyQlJGHxbuuV/2AWkRfWzqMahOAjsHuyCtQ4L1/TGMlnaYrtQn08CGiqjHxIdITW5kEnw9X7ZX0v1NxOMXtLDT0tYmnSCTCZ8PCYC0V41j0A/x17p4+wqsRU+vhQ0SV4yuVSI86hXjghXaBAIC5Gy+ZbN8ZY8vT4yae9TzsMbNPQwDAx9uvIbm4R41Q5DpswEpEwtN5OXtRURHWrl2L/fv3IzU1FQqFosz9Bw4c0FtwROZo3rOhOHg9FbEPc7Fs703Me7ax0CEJTl8VH7UpXeph5+UkXLyXgfn/XMZPE9oIsm8gUNKjyNSWshNR+XR+pb711lt46623UFRUhGbNmqFFixZlDqLazsnGCp8ObQYA+PHoHUTGpwsbkAnQZ8UHUK2kWzKiBawkIuy/nop/IxP18rzVoa74mOKKLiJ6ms4Vn/Xr1+PPP//Es88+a4h4iCzCM429MaSlHzZHJuLtvy5i27QuJtXV19gMsYlnIx9HTO/VAF/tvYn/br2KTvXd4eVoo7fn15Y+VqwRkfHo/BVFJpOhfn3uRE1UlYXPN4WHgzWiU7Pxf/tuCR2OoEq2dNBvVeQ/PULQ1M8J6bkFWLD5qiCrvDT/NlZ8iMyCzq/U2bNnY/ny5SaxjJTIlLnay/BZ8ZDXqiO3ERH3SOCIhGOIig8AWEnEWDKiOaRiEXZdTcbWS0l6fX5taCY3s+JDZBZ0Huo6duwYDh48iJ07d6Jp06ZPbVK6adMmvQVHZO76NvUpM+S1fXrXWjfkpVQqDbrku6mfM6b2rI/l+29hwb9X0CHYzahDXpp/Gys+RGZB51eqi4sLhg4diu7du8PDwwPOzs5lDiIq67+DmsLT0Rq37+dg2b6bVT/AwuQXKaAuEBsq6XuzV33NkNd7m4zb2LCkmsXEh8gc6FzxWbNmjSHiILJYLnYyfDY0DK/8eg4/HrmDvk280bqum9BhGU3pvawMlRxYScT4alQLDPr6OPZFpWLjhQSMMNIWDSUVn9pVySMyV/yKQmQEfZp4Y3grfyiUwKw/LyI3v1DokIxGXRERiQCZAXdUD/Vxwow+DQAAH269iqSMxwb7XaWVrOri2ymROajWK/Xvv//GqFGj0KFDB7Rq1arMQUTlWzioCfycbXD3YS4W7ag9e3nJSzX4M3STwVe7BqNlgAuy8gox5+9LRhny0uxDxooPkVnQOfFZsWIFJk2aBG9vb0RERKBdu3Zwd3fHnTt3MGDAAEPESGQRnGys8MVIVZPP307dxZGb9wWOyDhKNig1fGIgLR7yspaKcfTWA/x26q7Bfyf36iIyLzq/Ur/99lusWrUKX3/9NWQyGebMmYO9e/di+vTpyMjIMESMRBajc30PTOhYFwAw5+9LyMgtEDgiw8sz8u7lIZ4OmDcgFADw2Y4o3L6fbdDfx8nNROZF51dqXFwcOnXqBACwtbVFVlYWAGDcuHFYt26dfqMjskBzBzRGPQ97JGfmYcGWK0KHY3AlfW6MlxiM7xiErg08kFegwKwNkSgoUlT9oGri5GYi86LzO5GPjw/S0tIAAIGBgTh16hQAICYmhk0NibRgK5Pgq1EtIBGL8G9kIv6NTBA6JIMydsUHAMRiEb4Y0QJONlJcvJeBbw5GG+x3sY8PkXnR+ZXaq1cvbNmyBQAwadIkzJw5E3369MHo0aMxdOhQvQdIZIlaBbrizZ6qrV/e33wFCenGWYEkBCEqPgDg42yDT4aGAQC+PhBtsM1i5QXGm8NERDWn8zvRqlWrMH/+fADA1KlTsXr1ajRu3BgfffQRvvvuO70HSGSp3uxVX7MCafafkVAoLLNiKkTFR21QCz8838IPRQolZm6IRI5c/20EWPEhMi86v1LFYjGk0pK+h2PGjMGKFSswbdo0yGQyvQZHZMmsJGIsG90SdjIJTt1Jw0/H7ggdkkEIVfFR+2RwM/g62yDmQQ4+3nZN788v9L+PiHRTrVfq0aNH8dJLL6Fjx45ISFDNT/jtt99w7NgxvQZHZOnqedhjwXNNAABf7L6Bq4mWtzIyr0DYyb/OdlZYOqolRCJg/dl47Lqi341Mhf73EZFudE58Nm7ciH79+sHW1hYRERGQy+UAgIyMDHz22Wd6D5DI0o1uG4A+TbxRUKTE9HUReJxfJHRIeqWeAyNkRaRjiDv+0z0EADB302UkZ+Tp7bk51EVkXnR+pX7yySf4/vvv8eOPP5bZmb1z5864cOGCXoMjqg1EIhEWD28Or+KNTD8ywHCMkPIKhZvjU9rM3g0RVscZ6bkFmP2X/uZUaYa6mPgQmQWdX6k3btxAt27dnrrd2dkZ6enp+oiJqNZxs5dh2WjVcMy6M3F6H44RUp5m1ZOwiYFMKsb/jWkJWysJjkc/xI9H9TOnSr0lB1d1EZmHavXxiY5+uifGsWPHEBwcrJegiGqjzvU98Go31Wvo3Y2XkWghS9xNqcFfiKcDFj5fMqdKH0vcuWUFkXnR+ZX6yiuv4K233sLp06chEomQmJiI33//HW+//TZef/11Q8RIVGvM7tMIzf2dkfG4ADM2RKLIApa4m0rFR2102wAMDPNFoUI1pyorr2bbhmjmMJlAYkdEVdP5nWju3Ll48cUX8cwzzyA7OxvdunXDlClT8Nprr2HatGmGiJGo1pBJxVgxJhx2MgnOxKRh5QHDdRw2FlOq+ACqOVWfDQtDHRdbxKXlYv4/V2rUdZ6Tm4nMi86vVJFIhPnz5yMtLQ1XrlzBqVOncP/+fXz88ceGiI+o1gnysMcnQ5oBAJbvv4lTdx4KHFHNmFrFBwCcba2w4oVwSMQibLmYiL/O36vW8ygUSuQXMfEhMifVfqXKZDI0adIE7dq1g4ODgz5jIqr1hrXyx/BW/lAogbfWR+BhtlzokKrNVCsireu6YlafhgCAhf9eRXRqls7PkV9q81NrTm4mMgvSqk9Refnll7U6b/Xq1dUOhohKfDS4KSLjH+H2/RzM/usiVk9oC7FYJHRYOjPlvaxe7x6CE7cf4Hj0Q0z9PQKbp3aGrUz7ONUrugDAxsQSOyIqn9av1LVr1+LgwYNIT0/Ho0ePKjyISD/sraVY+WIryKRiHLpx32y3tFBXfEwx8RGLRVg2uiU8HKxxIyUL/91yVafHq3v4SMQiSCVMfIjMgdYVn9dffx3r1q1DTEwMJk2ahJdeeglubm6GjI2o1mvs64SFzzfB/H+uYMmuG2hd1w2t67oKHZZO8gpMu8Gfl6MNVoxpibE/n8aGc/FoH+yGYa38tXpsyXYVpvlvI6Knaf1q/eabb5CUlIQ5c+Zg69atCAgIwKhRo7B79+4arYggosq92C4QA5urll+/+ccFpOXkCx2STvLMoMFfp/oeeOuZBgCA9zdfQXRqtlaPY9dmIvOj06vV2toaL7zwAvbu3Ytr166hadOmeOONNxAUFITsbO3eKIhINyKRCJ8PC0M9D3skZeRh1p/6227BGMwlOZjWqwE6hbgjN78IU3+/oNWeaaa2VJ+IqlbtdyKxWAyRSASlUomiIsNvqjho0CAEBgbCxsYGvr6+GDduHBITE8ucc+nSJXTt2hU2NjYICAjAkiVLDB4XkTE42ljh27GtYF083+e7w7eFDklrmuEgE674AKp5Ov83pmS+z/zNl6usZquTOlNaqk9EldPp1SqXy7Fu3Tr06dMHDRs2xOXLl7Fy5UrExcUZfEl7z5498eeff+LGjRvYuHEjbt++jREjRmjuz8zMRN++fVG3bl2cP38eX3zxBf773/9i1apVBo2LyFga+zrh48Gq/j5f7bmBk7fNo7+PuVR8ANV8n69fCIdYBGy6kID1Z+MrPV9ewIoPkbnRenLzG2+8gfXr1yMgIAAvv/wy1q1bBw8PD0PGVsbMmTM1/123bl3MnTsXQ4YMQUFBAaysrPD7778jPz8fq1evhkwmQ9OmTREZGYmlS5fi1VdfrfB55XI55PKSHimZmZkG/XcQ1cSotgE4E5uGv8/fw7R1Edg+vQu8nWyEDqtS5jDHp7SOIe54p18oFu+6joVbriKsjjOa1XEu99w8dVLHig+R2dD61fr999/DyckJwcHBOHz4MF599VUMGzbsqcMY0tLS8Pvvv6NTp06wsrICAJw8eRLdunWDTCbTnNevXz/cuHGj0mX2ixYtgrOzs+YICAgwePxENfHx4GYI9XHEg2w5pv5+AQWlmuiZInOq+Ki91i0YvRt7Ib9Qgdd/P4+M3PL385JzVReR2dH61Tp+/Hj07NkTLi4uZRKFJw9Devfdd2Fvbw93d3fExcXh33//1dyXnJwMb2/vMuerf05OTq7wOefNm4eMjAzNER9feWmbSGi2Mgm+e6k1HK2lOHf3ET7bESV0SBVSKpVmV/EBVP19vhrZEgFutohPe1zhhHJObiYyP1oPda1du1bvv3zu3LlYvHhxpedERUUhNDQUAPDOO+9g8uTJuHv3Lj788EOMHz8e27Ztg0hU/W621tbWsLa2rvbjiYRQz8MeX41qgVd/O481x2MRHuiKQS38hA7rKaW3dDC3CcDOdlb4bmxrDPvuBPZfT8XKg9GYXrzkXc0cq1lEtZ3WiY8hzJ49GxMnTqz0nODgYM1/e3h4wMPDAw0bNkTjxo0REBCAU6dOoWPHjvDx8UFKSkqZx6p/9vHx0XvsRELr29QHb/QIwbeHbmPuxksI9XFEQ29HocMqI6/Ulg7mWBVpVscZnw5phnf+voRl+24irI4zeoZ6ae435a7URFQ+QRMfT09PeHp6VuuxCoXqDUc9Mbljx46YP3++ZrIzAOzduxeNGjWCq6t5dbol0tbsvo1w8V46jkc/xGu/ncfmqZ3hbGsldFga6n26xCLASmJ++4wBwMg2Abh4Lx3/OxWHt9ZHYOu0Lqjrbg+Ac3yIzJFZvFpPnz6NlStXIjIyEnfv3sWBAwfwwgsvICQkBB07dgQAvPjii5DJZJg8eTKuXr2KDRs2YPny5Zg1a5bA0RMZjkQswoox4ajjYouYBzmYucG0mhuWngNTkyFpoS14rinCA12QmVeI1347j9z8QgCltuMws2E8otrMLF6tdnZ22LRpE5555hk0atQIkydPRvPmzXH48GHN/BxnZ2fs2bMHMTExaN26NWbPno0FCxZUupSdyBK4O1jjh3GtYS0V48D1VPzfvptCh6SRV2AZDf5kUjG+G9saHg7WuJ6chXc3qpobcnIzkfkRdKhLW2FhYThw4ECV5zVv3hxHjx41QkREpqVZHWcsGhaGWX9exIoD0Wji54z+zYSf22ZJiYGPsw2+HdsKL/54ClsvJqKpnxMnNxOZIb5aiSzEsFb+mNQ5CAAw+89I3ErJEjYgWE7FR61dPTcsfL4JAGDxrus4eusBACY+ROaEr1YiC/Les43RIdgNOflFeOXXc0jPFXYnd0tc9fRSh7oY0zYASiVwPVmVXJr6PmREVIKJD5EFsZKI8c2LrVDHxRaxD3Px5h8RKBSws7Nm8q8FVUREIhE+HNwUreuWrBa1pH8fkaXjq5XIwrg7WOOnCW1gJ5PgWPQDfCpgZ2fNHB8Lq4hYSyX47qVW8CneJ83VTlbFI4jIVDDxIbJAjX2dsHRUCwDAmuOx2HA2TpA4LLHio+blaIMNr3XA+wMb49kwX6HDISItWd67EREBAPo388XM3g0BAO9vvoIzMWlGj8Ec9+nSRV13e0zpGgxbmWX++4gsERMfIgs2rVd9PBvmg4IiJV777RzuPswx6u/ncm8iMjV8NyKyYOpdxsPqOONRbgEm/3IOmXkFRvv9ll7xISLzw8SHyMLZyiT4aUIb+DjZIDo1G1N/v2C0lV6s+BCRqeG7EVEt4O1kg58mtIGtlQRHbz3AR9uuGeX3suJDRKaGiQ9RLdGsjjOWjW4JAPj15F2sPhZj8N+prvhYSudmIjJ/fDciqkX6N/PBvAGhAICPt1/DnqvJBv196oqPJezVRUSWgYkPUS3zardgvNg+EEol8Nb6SFy6l26w38WKDxGZGr4bEdUyIpEIHw1qiu4NPfG4oAgvrz2He49yDfK75Kz4EJGJYeJDVAtJJWKsfDEcoT6OeJAtx6Q1Z5GRq/9l7pa2OzsRmT++GxHVUo42VlgzqS28naxxKzUbr/x2TpOo6Itmry5WfIjIRDDxIarFfJ1tsXZSOzhaS3EmJg2z/7oIhUKpt+dnxYeITA3fjYhquca+TvhhXGtYSUTYfikJn+lxN3dL3Z2diMwXEx8iQqf6HvhypGo395+OxeCno3f08ryWvDs7EZknvhsREQBgcMs6eLe/qsfPJ9ujsDkiocbPqa74sHMzEZkKJj5EpPGf7sGY1DkIAPD2Xxdx6EZqjZ6PFR8iMjV8NyIiDZFIhA8GNsHgln4oVCjx+v8uICLuUbWfjxUfIjI1THyIqAyxWIQvRrRAN02Dw7OITs2q1nOx4kNEpobvRkT0FJlUjO/GtkKLABc8yi3AuJ/P6NzdWalUsuJDRCaHiQ8RlcveWoo1E9uigZcDkjLy8NJPp3E/S67149VJD8CKDxGZDr4bEVGF3Oxl+G1ye9RxsUXsw1yMX30GGY+129pCvU8XwIoPEZkOJj5EVCkfZxv8PqU9PBysEZWUiclrzyI3v7DKx6l3ZpeIRbCS8K2GiEwD342IqEpBHvb4bXI7ONlIce7uI7z66/kq9/XK0+zMzrcZIjIdfEciIq009nXC2pfbwU4mwbHoB3jzjwsoKFJUeL664sNhLiIyJUx8iEhrrQJd8fOEtrCWirEvKhUzNkSiqIJNTVnxISJTxHckItJJxxD3Mpuazvn7Urk7urPiQ0SmiIkPEemsRyMvfP1CK0jEImy8cA/v/XP5qeSHFR8iMkV8RyKiaunfzAfLRreEWASsPxuPBVuuQKksSX40XZtZ8SEiE8LEh4iqbVALP3w1qgVEIuB/p+Lw4dZrmuRH3cCQFR8iMiV8RyKiGhka7o8lw5tDJALWnojFx9uioFQqNRUfzvEhIlNiNonPoEGDEBgYCBsbG/j6+mLcuHFITEzU3B8bGwuRSPTUcerUKQGjJqodRrYJwKKhYQCA1cdj8NG2a8hTT25mxYeITIhU6AC01bNnT7z33nvw9fVFQkIC3n77bYwYMQInTpwoc96+ffvQtGlTzc/u7u7GDpWoVhrTLhBKAPM2Xcaa47Hwd7UFwDk+RGRazCbxmTlzpua/69ati7lz52LIkCEoKCiAlZWV5j53d3f4+PgIESJRrfdCu0CIAMzddBn3Hj0GwIoPEZkWs3xHSktLw++//45OnTqVSXoA1ZCYl5cXunTpgi1btlT5XHK5HJmZmWUOIqq+Me0CNXN+AMDayizfZojIQpnVO9K7774Le3t7uLu7Iy4uDv/++6/mPgcHB3z11Vf466+/sH37dnTp0gVDhgypMvlZtGgRnJ2dNUdAQICh/xlEFm9U2wB8NbIFAt3s8Exjb6HDISLSEClLN94wsrlz52Lx4sWVnhMVFYXQ0FAAwIMHD5CWloa7d+/iww8/hLOzM7Zt2waR+qvlE8aPH4+YmBgcPXq0wueXy+WQy+WanzMzMxEQEICMjAw4OTlV419FRERExpaZmQlnZ+cqP78FTXzu37+Phw8fVnpOcHAwZDLZU7ffu3cPAQEBOHHiBDp27FjuY7/55ht88sknSEpK0jombS8cERERmQ5tP78Fndzs6ekJT0/Paj1WoVA1RytdrXlSZGQkfH19q/X8REREZHnMYlXX6dOncfbsWXTp0gWurq64ffs2PvjgA4SEhGiqPb/88gtkMhnCw8MBAJs2bcLq1avx008/CRk6ERERmRCzSHzs7OywadMmLFy4EDk5OfD19UX//v3x/vvvw9raWnPexx9/jLt370IqlSI0NBQbNmzAiBEjBIyciIiITImgc3xMEef4EBERmR9tP7/Najk7ERERUU0w8SEiIqJag4kPERER1RpMfIiIiKjWYOJDREREtQYTHyIiIqo1mPgQERFRrcHEh4iIiGoNJj5ERERUa5jFlhXGpG5knZmZKXAkREREpC3153ZVG1Iw8XlCVlYWACAgIEDgSIiIiEhXWVlZcHZ2rvB+7tX1BIVCgcTERDg6OkIkEunteTMzMxEQEID4+HjuAaYFXi/d8Hppj9dKN7xeuuH10o0+r5dSqURWVhb8/PwgFlc8k4cVnyeIxWL4+/sb7PmdnJz4YtABr5dueL20x2ulG14v3fB66UZf16uySo8aJzcTERFRrcHEh4iIiGoNJj5GYm1tjYULF8La2lroUMwCr5dueL20x2ulG14v3fB66UaI68XJzURERFRrsOJDREREtQYTHyIiIqo1mPgQERFRrcHEh4iIiGoNJj5G8s033yAoKAg2NjZo3749zpw5I3RIglu0aBHatm0LR0dHeHl5YciQIbhx40aZc/Ly8jB16lS4u7vDwcEBw4cPR0pKikARm5bPP/8cIpEIM2bM0NzG61VWQkICXnrpJbi7u8PW1hZhYWE4d+6c5n6lUokFCxbA19cXtra26N27N27duiVgxMIoKirCBx98gHr16sHW1hYhISH4+OOPy+x5VJuv1ZEjR/D888/Dz88PIpEImzdvLnO/NtcmLS0NY8eOhZOTE1xcXDB58mRkZ2cb8V9hPJVdr4KCArz77rsICwuDvb09/Pz8MH78eCQmJpZ5DkNeLyY+RrBhwwbMmjULCxcuxIULF9CiRQv069cPqampQocmqMOHD2Pq1Kk4deoU9u7di4KCAvTt2xc5OTmac2bOnImtW7fir7/+wuHDh5GYmIhhw4YJGLVpOHv2LH744Qc0b968zO28XiUePXqEzp07w8rKCjt37sS1a9fw1VdfwdXVVXPOkiVLsGLFCnz//fc4ffo07O3t0a9fP+Tl5QkYufEtXrwY3333HVauXImoqCgsXrwYS5Yswddff605pzZfq5ycHLRo0QLffPNNufdrc23Gjh2Lq1evYu/evdi2bRuOHDmCV1991Vj/BKOq7Hrl5ubiwoUL+OCDD3DhwgVs2rQJN27cwKBBg8qcZ9DrpSSDa9eunXLq1Kman4uKipR+fn7KRYsWCRiV6UlNTVUCUB4+fFipVCqV6enpSisrK+Vff/2lOScqKkoJQHny5EmhwhRcVlaWskGDBsq9e/cqu3fvrnzrrbeUSiWv15PeffddZZcuXSq8X6FQKH18fJRffPGF5rb09HSltbW1ct26dcYI0WQMHDhQ+fLLL5e5bdiwYcqxY8cqlUpeq9IAKP/55x/Nz9pcm2vXrikBKM+ePas5Z+fOnUqRSKRMSEgwWuxCePJ6lefMmTNKAMq7d+8qlUrDXy9WfAwsPz8f58+fR+/evTW3icVi9O7dGydPnhQwMtOTkZEBAHBzcwMAnD9/HgUFBWWuXWhoKAIDA2v1tZs6dSoGDhxY5roAvF5P2rJlC9q0aYORI0fCy8sL4eHh+PHHHzX3x8TEIDk5ucz1cnZ2Rvv27Wvd9erUqRP279+PmzdvAgAuXryIY8eOYcCAAQB4rSqjzbU5efIkXFxc0KZNG805vXv3hlgsxunTp40es6nJyMiASCSCi4sLAMNfL25SamAPHjxAUVERvL29y9zu7e2N69evCxSV6VEoFJgxYwY6d+6MZs2aAQCSk5Mhk8k0LwY1b29vJCcnCxCl8NavX48LFy7g7NmzT93H61XWnTt38N1332HWrFl47733cPbsWUyfPh0ymQwTJkzQXJPyXpu17XrNnTsXmZmZCA0NhUQiQVFRET799FOMHTsWAHitKqHNtUlOToaXl1eZ+6VSKdzc3Gr99cvLy8O7776LF154QbNJqaGvFxMfMglTp07FlStXcOzYMaFDMVnx8fF46623sHfvXtjY2AgdjslTKBRo06YNPvvsMwBAeHg4rly5gu+//x4TJkwQODrT8ueff+L333/HH3/8gaZNmyIyMhIzZsyAn58frxUZTEFBAUaNGgWlUonvvvvOaL+XQ10G5uHhAYlE8tTKmpSUFPj4+AgUlWl58803sW3bNhw8eBD+/v6a2318fJCfn4/09PQy59fWa3f+/HmkpqaiVatWkEqlkEqlOHz4MFasWAGpVApvb29er1J8fX3RpEmTMrc1btwYcXFxAKC5JnxtAu+88w7mzp2LMWPGICwsDOPGjcPMmTOxaNEiALxWldHm2vj4+Dy1mKWwsBBpaWm19vqpk567d+9i7969mmoPYPjrxcTHwGQyGVq3bo39+/drblMoFNi/fz86duwoYGTCUyqVePPNN/HPP//gwIEDqFevXpn7W7duDSsrqzLX7saNG4iLi6uV1+6ZZ57B5cuXERkZqTnatGmDsWPHav6b16tE586dn2qPcPPmTdStWxcAUK9ePfj4+JS5XpmZmTh9+nStu165ubkQi8t+HEgkEigUCgC8VpXR5tp07NgR6enpOH/+vOacAwcOQKFQoH379kaPWWjqpOfWrVvYt28f3N3dy9xv8OtV4+nRVKX169crra2tlWvXrlVeu3ZN+eqrrypdXFyUycnJQocmqNdff13p7OysPHTokDIpKUlz5Obmas75z3/+owwMDFQeOHBAee7cOWXHjh2VHTt2FDBq01J6VZdSyetV2pkzZ5RSqVT56aefKm/duqX8/ffflXZ2dsr//e9/mnM+//xzpYuLi/Lff/9VXrp0STl48GBlvXr1lI8fPxYwcuObMGGCsk6dOspt27YpY2JilJs2bVJ6eHgo58yZozmnNl+rrKwsZUREhDIiIkIJQLl06VJlRESEZhWSNtemf//+yvDwcOXp06eVx44dUzZo0ED5wgsvCPVPMqjKrld+fr5y0KBBSn9/f2VkZGSZ9365XK55DkNeLyY+RvL1118rAwMDlTKZTNmuXTvlqVOnhA5JcADKPdasWaM55/Hjx8o33nhD6erqqrSzs1MOHTpUmZSUJFzQJubJxIfXq6ytW7cqmzVrprS2tlaGhoYqV61aVeZ+hUKh/OCDD5Te3t5Ka2tr5TPPPKO8ceOGQNEKJzMzU/nWW28pAwMDlTY2Nsrg4GDl/Pnzy3wQ1eZrdfDgwXLfqyZMmKBUKrW7Ng8fPlS+8MILSgcHB6WTk5Ny0qRJyqysLAH+NYZX2fWKiYmp8L3/4MGDmucw5PUSKZWlWnMSERERWTDO8SEiIqJag4kPERER1RpMfIiIiKjWYOJDREREtQYTHyIiIqo1mPgQERFRrcHEh4iIiGoNJj5ERERUazDxISKLMnHiRAwZMkToMIjIREmFDoCISFsikajS+xcuXIjly5eDDemJqCJMfIjIbCQlJWn+e8OGDViwYEGZHdgdHBzg4OAgRGhEZCY41EVEZsPHx0dzODs7QyQSlbnNwcHhqaGuHj16YNq0aZgxYwZcXV3h7e2NH3/8ETk5OZg0aRIcHR1Rv3597Ny5s8zvunLlCgYMGAAHBwd4e3tj3LhxePDggZH/xUSkb0x8iMji/fLLL/Dw8MCZM2cwbdo0vP766xg5ciQ6deqECxcuoG/fvhg3bhxyc3MBAOnp6ejVqxfCw8Nx7tw57Nq1CykpKRg1apTA/xIiqikmPkRk8Vq0aIH3338fDRo0wLx582BjYwMPDw+88soraNCgARYsWICHDx/i0qVLAICVK1ciPDwcn332GUJDQxEeHo7Vq1fj4MGDuHnzpsD/GiKqCc7xISKL17x5c81/SyQSuLu7IywsTHObt7c3ACA1NRUAcPHiRRw8eLDc+UK3b99Gw4YNDRwxERkKEx8isnhWVlZlfhaJRGVuU68WUygUAIDs7Gw8//zzWLx48VPP5evra8BIicjQmPgQET2hVatW2LhxI4KCgiCV8m2SyJJwjg8R0ROmTp2KtLQ0vPDCCzh79ixu376N3bt3Y9KkSSgqKhI6PCKqASY+RERP8PPzw/Hjx1FUVIS+ffsiLCwMM2bMgIuLC8Rivm0SmTORki1OiYiIqJbgVxciIiKqNZj4EBERUa3BxIeIiIhqDSY+REREVGsw8SEiIqJag4kPERER1RpMfIiIiKjWYOJDREREtQYTHyIiIqo1mPgQERFRrcHEh4iIiGqN/wcobZTzuXiEJwAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(np.mean(PFexample.history[\"mNrm\"], axis=1))\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Mean normalized market resources\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "633034d3", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:02.694781Z", - "iopub.status.busy": "2024-07-11T15:34:02.694532Z", - "iopub.status.idle": "2024-07-11T15:34:02.761840Z", - "shell.execute_reply": "2024-07-11T15:34:02.761317Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(np.mean(PFexample.history[\"mNrm\"] * PFexample.history[\"pLvl\"], axis=1))\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Mean normalized market resources\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "bb741c54", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:02.763477Z", - "iopub.status.busy": "2024-07-11T15:34:02.763214Z", - "iopub.status.idle": "2024-07-11T15:34:02.824903Z", - "shell.execute_reply": "2024-07-11T15:34:02.824427Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/tmp/ipykernel_177460/842794148.py:2: RuntimeWarning: divide by zero encountered in log\n", - " np.log(\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(\n", - " np.log(\n", - " np.mean(PFexample.history[\"mNrm\"], axis=1)\n", - " - np.min(np.mean(PFexample.history[\"mNrm\"], axis=1)),\n", - " ),\n", - ")\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Mean normalized market resources\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "603ae6e5", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:02.826424Z", - "iopub.status.busy": "2024-07-11T15:34:02.826181Z", - "iopub.status.idle": "2024-07-11T15:34:02.829695Z", - "shell.execute_reply": "2024-07-11T15:34:02.829265Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "(0,)" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "PFexample.newborn_init_history[\"pLvl\"][1, PFexample.history[\"who_dies\"][1, :] > 0].shape" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "567440dd", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:02.830992Z", - "iopub.status.busy": "2024-07-11T15:34:02.830825Z", - "iopub.status.idle": "2024-07-11T15:34:02.834069Z", - "shell.execute_reply": "2024-07-11T15:34:02.833623Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "(0,)" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "PFexample.newborn_init_history[\"aNrm\"][2, PFexample.history[\"who_dies\"][2, :] > 0].shape" - ] - }, - { - "cell_type": "markdown", - "id": "0ead3ec8", - "metadata": {}, - "source": [ - "## Using the Generic Monte Carlo Simulator" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "adfbe431", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:02.835418Z", - "iopub.status.busy": "2024-07-11T15:34:02.835248Z", - "iopub.status.idle": "2024-07-11T15:34:03.072702Z", - "shell.execute_reply": "2024-07-11T15:34:03.072124Z" - } - }, - "outputs": [], - "source": [ - "import HARK.models.perfect_foresight_normalized as pfn\n", - "from HARK.distributions import Lognormal\n", - "from HARK.simulation.monte_carlo import AgentTypeMonteCarloSimulator" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "5a0c394b", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:03.074937Z", - "iopub.status.busy": "2024-07-11T15:34:03.074443Z", - "iopub.status.idle": "2024-07-11T15:34:03.078102Z", - "shell.execute_reply": "2024-07-11T15:34:03.077454Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "DBlock(name='', description='', shocks={'live': }, dynamics={'p': at 0x7f39a5da56c0>, 'r_eff': at 0x7f39a2a97740>, 'b_nrm': at 0x7f39a2a977e0>, 'm_nrm': at 0x7f39a2a97880>, 'c_nrm': , 'a_nrm': at 0x7f39a2a97920>}, reward={'u': at 0x7f39a2a979c0>})" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pfn.block" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "e9d068bd", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:03.079667Z", - "iopub.status.busy": "2024-07-11T15:34:03.079431Z", - "iopub.status.idle": "2024-07-11T15:34:03.082510Z", - "shell.execute_reply": "2024-07-11T15:34:03.082064Z" - } - }, - "outputs": [], - "source": [ - "pfn_simulator = AgentTypeMonteCarloSimulator(\n", - " pfn.calibration,\n", - " pfn.block,\n", - " {\"c_nrm\": lambda m_nrm: PFexample.solution[0].cFunc(m_nrm)},\n", - " { # initial states\n", - " \"a_nrm\": Lognormal(-6, 0),\n", - " #'live' : 1,\n", - " \"p\": 1.0,\n", - " },\n", - " agent_count=3,\n", - " T_sim=120,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "36ba1dda", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:03.083966Z", - "iopub.status.busy": "2024-07-11T15:34:03.083724Z", - "iopub.status.idle": "2024-07-11T15:34:03.086235Z", - "shell.execute_reply": "2024-07-11T15:34:03.085768Z" - } - }, - "outputs": [], - "source": [ - "pfn_simulator.read_shocks = True\n", - "# pfn_simulator.shock_history['live'] = 1 - np.roll(PFexample.history[\"who_dies\"], -1)\n", - "\n", - "pfn_simulator.shock_history[\"live\"] = 1 - PFexample.history[\"who_dies\"]" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "bc84d3e5", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:03.087683Z", - "iopub.status.busy": "2024-07-11T15:34:03.087445Z", - "iopub.status.idle": "2024-07-11T15:34:03.089960Z", - "shell.execute_reply": "2024-07-11T15:34:03.089470Z" - } - }, - "outputs": [], - "source": [ - "pfn_simulator.newborn_init_history[\"a_nrm\"] = PFexample.newborn_init_history[\"aNrm\"]\n", - "pfn_simulator.newborn_init_history[\"p\"] = PFexample.newborn_init_history[\"pLvl\"]\n", - "# pfn_simulator.newborn_init_history['live'] = PFexample.newborn_init_history['pLvl']" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "65df3a7f", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:03.091464Z", - "iopub.status.busy": "2024-07-11T15:34:03.091231Z", - "iopub.status.idle": "2024-07-11T15:34:03.113213Z", - "shell.execute_reply": "2024-07-11T15:34:03.112766Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "{'live': array([[ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 0.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - 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[-42.55267428, -21.05056386, -7.20994102],\n", - " [-42.75418661, -21.79728952, -8.30761326],\n", - " [-42.95058933, -22.525081 , -9.37745262],\n", - " [-43.14201201, -23.2344184 , -10.42016485],\n", - " [-43.32858093, -23.92576966, -11.43643779],\n", - " [-43.51041916, -24.59959082, -12.42694183],\n", - " [ -1.27807355, -25.25632639, -13.39233038],\n", - " [ -2.52615583, -25.89640959, -14.33324028],\n", - " [ -3.74259139, -26.52026268, -15.25029222],\n", - " [ -4.92818269, -27.12829717, -16.14409113],\n", - " [ -6.08371181, -27.72091418, -17.01522664],\n", - " [ -1.27807355, -28.29850463, -17.8642734 ],\n", - " [ -2.52615583, -1.27807355, -18.69179151],\n", - " [ -3.74259139, -2.52615583, -19.49832683],\n", - " [ -4.92818269, -3.74259139, -20.28441144],\n", - " [ -6.08371181, -4.92818269, -21.05056386],\n", - " [ -7.20994102, -6.08371181, -21.79728952],\n", - " [ -8.30761326, -7.20994102, -22.525081 ],\n", - " [ -9.37745262, -8.30761326, -23.2344184 ],\n", - " [-10.42016485, -9.37745262, -23.92576966],\n", - " [-11.43643779, -10.42016485, -24.59959082],\n", - " [-12.42694183, -11.43643779, -25.25632639],\n", - " [-13.39233038, -12.42694183, -25.89640959],\n", - " [ -1.27807355, -13.39233038, -26.52026268],\n", - " [ -2.52615583, -14.33324028, -27.12829717],\n", - " [ -3.74259139, -15.25029222, -27.72091418],\n", - " [ -4.92818269, -16.14409113, -28.29850463],\n", - " [ -6.08371181, -17.01522664, -28.86144954],\n", - " [ -7.20994102, -17.8642734 , -29.41012026],\n", - " [ -8.30761326, -18.69179151, -29.94487875],\n", - " [ -9.37745262, -19.49832683, -30.46607775],\n", - " [-10.42016485, -20.28441144, -30.97406109],\n", - " [-11.43643779, -21.05056386, -31.46916387],\n", - " [-12.42694183, -21.79728952, -31.95171268],\n", - " [-13.39233038, -22.525081 , -32.42202586],\n", - " [-14.33324028, -23.2344184 , -32.88041365],\n", - " [-15.25029222, -23.92576966, -33.32717843],\n", - " [-16.14409113, -1.27807355, -33.76261493],\n", - " [-17.01522664, -2.52615583, -34.18701038],\n", - " [-17.8642734 , -3.74259139, -34.60064474],\n", - " [-18.69179151, -4.92818269, -35.00379088],\n", - " [-19.49832683, -6.08371181, -35.39671474],\n", - " [-20.28441144, -7.20994102, -35.77967551],\n", - " [-21.05056386, -8.30761326, -36.15292583],\n", - " [-21.79728952, -9.37745262, -36.51671191],\n", - " [-22.525081 , -10.42016485, -36.87127373],\n", - " [-23.2344184 , -11.43643779, -37.21684518],\n", - " [-23.92576966, -12.42694183, -1.27807355],\n", - " [-24.59959082, -13.39233038, -2.52615583]])}" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# pf_simulator.track_vars = [\"mNrm\"]\n", - "pfn_simulator.initialize_sim()\n", - "pfn_simulator.simulate(sim_periods=120)" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "9e2c7ad0", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:03.114760Z", - "iopub.status.busy": "2024-07-11T15:34:03.114523Z", - "iopub.status.idle": "2024-07-11T15:34:03.186167Z", - "shell.execute_reply": "2024-07-11T15:34:03.185672Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(np.mean(pfn_simulator.history[\"m_nrm\"], axis=1))\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Mean normalized market resources\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "2b471cf1", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:03.187901Z", - "iopub.status.busy": "2024-07-11T15:34:03.187619Z", - "iopub.status.idle": "2024-07-11T15:34:03.254681Z", - "shell.execute_reply": "2024-07-11T15:34:03.254185Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/tmp/ipykernel_177460/785913752.py:2: RuntimeWarning: divide by zero encountered in log\n", - " np.log(\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(\n", - " np.log(\n", - " np.mean(pfn_simulator.history[\"m_nrm\"], axis=1)\n", - " - np.min(np.mean(pfn_simulator.history[\"m_nrm\"], axis=1)),\n", - " ),\n", - ")\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Mean normalized market resources\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "464f19e7", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:03.256295Z", - "iopub.status.busy": "2024-07-11T15:34:03.256038Z", - "iopub.status.idle": "2024-07-11T15:34:03.332958Z", - "shell.execute_reply": "2024-07-11T15:34:03.332488Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(pfn_simulator.history[\"live\"].sum(axis=1))" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "1cc1dc83", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:03.334568Z", - "iopub.status.busy": "2024-07-11T15:34:03.334308Z", - "iopub.status.idle": "2024-07-11T15:34:03.414606Z", - "shell.execute_reply": "2024-07-11T15:34:03.414140Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(np.mean(pfn_simulator.history[\"a_nrm\"], axis=1), label=\"Generic monte carlo\")\n", - "plt.plot(\n", - " np.mean(PFexample.history[\"aNrm\"], axis=1),\n", - " label=\"HARK 0.13 PerfForesightConsumerType\",\n", - ")\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Mean normalized market resources\")\n", - "plt.legend()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "dcff94ad", - "metadata": { - "execution": { - "iopub.execute_input": "2024-07-11T15:34:03.416235Z", - "iopub.status.busy": "2024-07-11T15:34:03.415972Z", - "iopub.status.idle": "2024-07-11T15:34:03.420025Z", - "shell.execute_reply": "2024-07-11T15:34:03.419536Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", - " 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", - " 0., 0., 0., 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"metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.9" - } + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "be704ca8", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:01.511370Z", + "iopub.status.busy": "2024-07-11T15:34:01.511125Z", + "iopub.status.idle": "2024-07-11T15:34:02.453530Z", + "shell.execute_reply": "2024-07-11T15:34:02.452849Z" + } + }, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "from HARK.ConsumptionSaving.ConsIndShockModel import PerfForesightConsumerType" + ] + }, + { + "cell_type": "markdown", + "id": "d0698156", + "metadata": {}, + "source": [ + "## Original Perfect Foresight Example" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "83e6f76e", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:02.455570Z", + "iopub.status.busy": "2024-07-11T15:34:02.455300Z", + "iopub.status.idle": "2024-07-11T15:34:02.458615Z", + "shell.execute_reply": "2024-07-11T15:34:02.458150Z" + } + }, + "outputs": [], + "source": [ + "PFexample = PerfForesightConsumerType()\n", + "PFexample.cycles = 0\n", + "\n", + "SimulationParams = {\n", + " \"AgentCount\": 3, # Number of agents of this type\n", + " \"T_sim\": 120, # Number of periods to simulate\n", + " \"aNrmInitMean\": -6.0, # Mean of log initial assets\n", + " \"aNrmInitStd\": 0, # 1.0, # Standard deviation of log initial assets\n", + " \"pLvlInitMean\": 0.0, # Mean of log initial permanent income\n", + " \"pLvlInitStd\": 0.0, # Standard deviation of log initial permanent income\n", + " \"PermGroFacAgg\": 1.0, # Aggregate permanent income growth factor\n", + " \"T_age\": None, # Age after which simulated agents are automatically killed,\n", + " \"LivPrb\": [0.98],\n", + "}\n", + "\n", + "PFexample.assign_parameters(**SimulationParams)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "e0f219ec", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:02.459993Z", + "iopub.status.busy": "2024-07-11T15:34:02.459770Z", + "iopub.status.idle": "2024-07-11T15:34:02.526989Z", + "shell.execute_reply": "2024-07-11T15:34:02.526448Z" + } + }, + "outputs": [], + "source": [ + "PFexample.solve()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "c3981c6d", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:02.529193Z", + "iopub.status.busy": "2024-07-11T15:34:02.528717Z", + "iopub.status.idle": "2024-07-11T15:34:02.533233Z", + "shell.execute_reply": "2024-07-11T15:34:02.532754Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "PFexample" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "66cc08fb", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:02.534823Z", + "iopub.status.busy": "2024-07-11T15:34:02.534580Z", + "iopub.status.idle": "2024-07-11T15:34:02.615890Z", + "shell.execute_reply": "2024-07-11T15:34:02.615372Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'who_dies': array([[ 0., 0., 0.],\n", + " [ 0., 0., 0.],\n", + " [ 0., 0., 0.],\n", + " [ 0., 0., 0.],\n", + " [ 0., 0., 0.],\n", + " [ 0., 0., 0.],\n", + " [ 0., 0., 0.],\n", + " [ 0., 0., 0.],\n", + " [ 0., 0., 1.],\n", + " [ 0., 0., 0.],\n", + " [ 0., 0., 0.],\n", + " [ 0., 0., 0.],\n", + " [ 0., 0., 0.],\n", + " [ 0., 0., 0.],\n", + " [ 0., 0., 0.],\n", + " [ 0., 0., 0.],\n", + " [ 0., 0., 0.],\n", + " [ 0., 0., 0.],\n", + " 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" [-22.525081 , -10.42016485, -36.87127373],\n", + " [-23.2344184 , -11.43643779, -37.21684518],\n", + " [-23.92576966, -12.42694183, -1.27807355],\n", + " [-24.59959082, -13.39233038, -2.52615583]])}" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "PFexample.track_vars = [\"who_dies\", \"mNrm\", \"pLvl\", \"aNrm\"]\n", + "PFexample.make_shock_history()\n", + "\n", + "PFexample.initialize_sim()\n", + "PFexample.simulate()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "3b126cc4", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:02.617463Z", + "iopub.status.busy": "2024-07-11T15:34:02.617208Z", + "iopub.status.idle": "2024-07-11T15:34:02.693136Z", + "shell.execute_reply": "2024-07-11T15:34:02.692638Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(np.mean(PFexample.history[\"mNrm\"], axis=1))\n", + "plt.xlabel(\"Time\")\n", + "plt.ylabel(\"Mean normalized market resources\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "633034d3", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:02.694781Z", + "iopub.status.busy": "2024-07-11T15:34:02.694532Z", + "iopub.status.idle": "2024-07-11T15:34:02.761840Z", + "shell.execute_reply": "2024-07-11T15:34:02.761317Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(np.mean(PFexample.history[\"mNrm\"] * PFexample.history[\"pLvl\"], axis=1))\n", + "plt.xlabel(\"Time\")\n", + "plt.ylabel(\"Mean normalized market resources\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "bb741c54", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:02.763477Z", + "iopub.status.busy": "2024-07-11T15:34:02.763214Z", + "iopub.status.idle": "2024-07-11T15:34:02.824903Z", + "shell.execute_reply": "2024-07-11T15:34:02.824427Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_177460/842794148.py:2: RuntimeWarning: divide by zero encountered in log\n", + " np.log(\n" + ] }, - "nbformat": 4, - "nbformat_minor": 5 + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(\n", + " np.log(\n", + " np.mean(PFexample.history[\"mNrm\"], axis=1)\n", + " - np.min(np.mean(PFexample.history[\"mNrm\"], axis=1)),\n", + " ),\n", + ")\n", + "plt.xlabel(\"Time\")\n", + "plt.ylabel(\"Mean normalized market resources\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "603ae6e5", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:02.826424Z", + "iopub.status.busy": "2024-07-11T15:34:02.826181Z", + "iopub.status.idle": "2024-07-11T15:34:02.829695Z", + "shell.execute_reply": "2024-07-11T15:34:02.829265Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(0,)" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "PFexample.newborn_init_history[\"pLvl\"][1, PFexample.history[\"who_dies\"][1, :] > 0].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "567440dd", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:02.830992Z", + "iopub.status.busy": "2024-07-11T15:34:02.830825Z", + "iopub.status.idle": "2024-07-11T15:34:02.834069Z", + "shell.execute_reply": "2024-07-11T15:34:02.833623Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(0,)" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "PFexample.newborn_init_history[\"aNrm\"][2, PFexample.history[\"who_dies\"][2, :] > 0].shape" + ] + }, + { + "cell_type": "markdown", + "id": "0ead3ec8", + "metadata": {}, + "source": [ + "## Using the Generic Monte Carlo Simulator" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "adfbe431", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:02.835418Z", + "iopub.status.busy": "2024-07-11T15:34:02.835248Z", + "iopub.status.idle": "2024-07-11T15:34:03.072702Z", + "shell.execute_reply": "2024-07-11T15:34:03.072124Z" + } + }, + "outputs": [], + "source": [ + "import HARK.models.perfect_foresight_normalized as pfn\n", + "from HARK.distributions import Lognormal\n", + "from HARK.simulation.monte_carlo import AgentTypeMonteCarloSimulator" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "5a0c394b", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:03.074937Z", + "iopub.status.busy": "2024-07-11T15:34:03.074443Z", + "iopub.status.idle": "2024-07-11T15:34:03.078102Z", + "shell.execute_reply": "2024-07-11T15:34:03.077454Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "DBlock(name='', description='', shocks={'live': }, dynamics={'p': at 0x7f39a5da56c0>, 'r_eff': at 0x7f39a2a97740>, 'b_nrm': at 0x7f39a2a977e0>, 'm_nrm': at 0x7f39a2a97880>, 'c_nrm': , 'a_nrm': at 0x7f39a2a97920>}, reward={'u': at 0x7f39a2a979c0>})" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pfn.block" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "e9d068bd", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:03.079667Z", + "iopub.status.busy": "2024-07-11T15:34:03.079431Z", + "iopub.status.idle": "2024-07-11T15:34:03.082510Z", + "shell.execute_reply": "2024-07-11T15:34:03.082064Z" + } + }, + "outputs": [], + "source": [ + "pfn_simulator = AgentTypeMonteCarloSimulator(\n", + " pfn.calibration,\n", + " pfn.block,\n", + " {\"c_nrm\": lambda m_nrm: PFexample.solution[0].cFunc(m_nrm)},\n", + " { # initial states\n", + " \"a_nrm\": Lognormal(-6, 0),\n", + " #'live' : 1,\n", + " \"p\": 1.0,\n", + " },\n", + " agent_count=3,\n", + " T_sim=120,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "36ba1dda", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:03.083966Z", + "iopub.status.busy": "2024-07-11T15:34:03.083724Z", + "iopub.status.idle": "2024-07-11T15:34:03.086235Z", + "shell.execute_reply": "2024-07-11T15:34:03.085768Z" + } + }, + "outputs": [], + "source": [ + "pfn_simulator.read_shocks = True\n", + "# pfn_simulator.shock_history['live'] = 1 - np.roll(PFexample.history[\"who_dies\"], -1)\n", + "\n", + "pfn_simulator.shock_history[\"live\"] = 1 - PFexample.history[\"who_dies\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "bc84d3e5", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:03.087683Z", + "iopub.status.busy": "2024-07-11T15:34:03.087445Z", + "iopub.status.idle": "2024-07-11T15:34:03.089960Z", + "shell.execute_reply": "2024-07-11T15:34:03.089470Z" + } + }, + "outputs": [], + "source": [ + "pfn_simulator.newborn_init_history[\"a_nrm\"] = PFexample.newborn_init_history[\"aNrm\"]\n", + "pfn_simulator.newborn_init_history[\"p\"] = PFexample.newborn_init_history[\"pLvl\"]\n", + "# pfn_simulator.newborn_init_history['live'] = PFexample.newborn_init_history['pLvl']" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "65df3a7f", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:03.091464Z", + "iopub.status.busy": "2024-07-11T15:34:03.091231Z", + "iopub.status.idle": "2024-07-11T15:34:03.113213Z", + "shell.execute_reply": "2024-07-11T15:34:03.112766Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'live': array([[ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 0.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + " [ 1., 1., 1.],\n", + 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[-42.55267428, -21.05056386, -7.20994102],\n", + " [-42.75418661, -21.79728952, -8.30761326],\n", + " [-42.95058933, -22.525081 , -9.37745262],\n", + " [-43.14201201, -23.2344184 , -10.42016485],\n", + " [-43.32858093, -23.92576966, -11.43643779],\n", + " [-43.51041916, -24.59959082, -12.42694183],\n", + " [ -1.27807355, -25.25632639, -13.39233038],\n", + " [ -2.52615583, -25.89640959, -14.33324028],\n", + " [ -3.74259139, -26.52026268, -15.25029222],\n", + " [ -4.92818269, -27.12829717, -16.14409113],\n", + " [ -6.08371181, -27.72091418, -17.01522664],\n", + " [ -1.27807355, -28.29850463, -17.8642734 ],\n", + " [ -2.52615583, -1.27807355, -18.69179151],\n", + " [ -3.74259139, -2.52615583, -19.49832683],\n", + " [ -4.92818269, -3.74259139, -20.28441144],\n", + " [ -6.08371181, -4.92818269, -21.05056386],\n", + " [ -7.20994102, -6.08371181, -21.79728952],\n", + " [ -8.30761326, -7.20994102, -22.525081 ],\n", + " [ -9.37745262, -8.30761326, -23.2344184 ],\n", + " [-10.42016485, -9.37745262, -23.92576966],\n", + " [-11.43643779, -10.42016485, -24.59959082],\n", + " [-12.42694183, -11.43643779, -25.25632639],\n", + " [-13.39233038, -12.42694183, -25.89640959],\n", + " [ -1.27807355, -13.39233038, -26.52026268],\n", + " [ -2.52615583, -14.33324028, -27.12829717],\n", + " [ -3.74259139, -15.25029222, -27.72091418],\n", + " [ -4.92818269, -16.14409113, -28.29850463],\n", + " [ -6.08371181, -17.01522664, -28.86144954],\n", + " [ -7.20994102, -17.8642734 , -29.41012026],\n", + " [ -8.30761326, -18.69179151, -29.94487875],\n", + " [ -9.37745262, -19.49832683, -30.46607775],\n", + " [-10.42016485, -20.28441144, -30.97406109],\n", + " [-11.43643779, -21.05056386, -31.46916387],\n", + " [-12.42694183, -21.79728952, -31.95171268],\n", + " [-13.39233038, -22.525081 , -32.42202586],\n", + " [-14.33324028, -23.2344184 , -32.88041365],\n", + " [-15.25029222, -23.92576966, -33.32717843],\n", + " [-16.14409113, -1.27807355, -33.76261493],\n", + " [-17.01522664, -2.52615583, -34.18701038],\n", + " [-17.8642734 , -3.74259139, -34.60064474],\n", + " [-18.69179151, -4.92818269, -35.00379088],\n", + " [-19.49832683, -6.08371181, -35.39671474],\n", + " [-20.28441144, -7.20994102, -35.77967551],\n", + " [-21.05056386, -8.30761326, -36.15292583],\n", + " [-21.79728952, -9.37745262, -36.51671191],\n", + " [-22.525081 , -10.42016485, -36.87127373],\n", + " [-23.2344184 , -11.43643779, -37.21684518],\n", + " [-23.92576966, -12.42694183, -1.27807355],\n", + " [-24.59959082, -13.39233038, -2.52615583]])}" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# pf_simulator.track_vars = [\"mNrm\"]\n", + "pfn_simulator.initialize_sim()\n", + "pfn_simulator.simulate(sim_periods=120)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "9e2c7ad0", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:03.114760Z", + "iopub.status.busy": "2024-07-11T15:34:03.114523Z", + "iopub.status.idle": "2024-07-11T15:34:03.186167Z", + "shell.execute_reply": "2024-07-11T15:34:03.185672Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(np.mean(pfn_simulator.history[\"m_nrm\"], axis=1))\n", + "plt.xlabel(\"Time\")\n", + "plt.ylabel(\"Mean normalized market resources\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "2b471cf1", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:03.187901Z", + "iopub.status.busy": "2024-07-11T15:34:03.187619Z", + "iopub.status.idle": "2024-07-11T15:34:03.254681Z", + "shell.execute_reply": "2024-07-11T15:34:03.254185Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_177460/785913752.py:2: RuntimeWarning: divide by zero encountered in log\n", + " np.log(\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(\n", + " np.log(\n", + " np.mean(pfn_simulator.history[\"m_nrm\"], axis=1)\n", + " - np.min(np.mean(pfn_simulator.history[\"m_nrm\"], axis=1)),\n", + " ),\n", + ")\n", + "plt.xlabel(\"Time\")\n", + "plt.ylabel(\"Mean normalized market resources\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "464f19e7", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:03.256295Z", + "iopub.status.busy": "2024-07-11T15:34:03.256038Z", + "iopub.status.idle": "2024-07-11T15:34:03.332958Z", + "shell.execute_reply": "2024-07-11T15:34:03.332488Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(pfn_simulator.history[\"live\"].sum(axis=1))" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "1cc1dc83", + "metadata": { + "execution": { + "iopub.execute_input": "2024-07-11T15:34:03.334568Z", + "iopub.status.busy": "2024-07-11T15:34:03.334308Z", + "iopub.status.idle": "2024-07-11T15:34:03.414606Z", + "shell.execute_reply": "2024-07-11T15:34:03.414140Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", 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