{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# LaLonde Dataset\n", "\n", "Economists have long-hypothesized that training programs could improve the labor market prospects of participants.\n", "In an attempt to test (or demonstrate) this, the National Supported Work (NSW) Demonstration was initiated using combined private and federal funding. This program was implemented between 1975 and 1979 in 15 locations across the US.\n", "The program provided 6-18 month training for individuals who had faced economic and social problems (such as women receiving Aid to Families with Dependent Children, former drug addicts, ex-convicts, and former juvenile delinquents, etc.).\n", "\n", "Participants were randomly assigned into experimental group (Support Work Programs) and control groups.\n", "However, due to the long duration of the study, participants joining the program at the beginning had different characteristics than people joining later. \n", "Therefore, this covariate shift should be adjusted for in order to estimate the true causal effect of the job-program on future employment.\n", "\n", "Furthermore, we add some observational data that was obtained from the Population Survey of Income Dynamics and the Current Population Survey. These did not receive any training and are considered controls.\n", "\n", "This dataset had become a common benchmark for causal analysis over the years.\n", "Original analysis of the study was done by [Robert LaLonde](https://en.wikipedia.org/wiki/Robert_LaLonde) and published in his 1986 [Evaluating the Econometric Evaluations of Training Programs with Experimental Data](http://people.hbs.edu/nashraf/LaLonde_1986.pdf) paper. \n", "The analysis here is based on results from a later, propensity-based, analysis made by Dehejia and Wahba in their 1999 [Causal Effects in Non-Experimental Studies: Reevaluating the Evaluation of Training Programs](https://users.nber.org/~rdehejia/papers/dehejia_wahba_jasa.pdf)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## The Data\n", "First, let's download the dataset from [Rajeev Dehejia's webpage](https://users.nber.org/~rdehejia/nswdata2.html)." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(22106, 10)\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
trainingageeducationblackhispanicmarriedno_degreere74re75re78
168270.026.013.00.00.00.00.058.77850.1290331.03226
54120.027.012.00.00.01.00.016297.18013429.2100019562.14000
153990.026.012.00.00.00.00.05217.5273174.2420025564.67000
130770.038.016.00.00.01.00.023713.0109178.9840018814.41000
21890.055.08.00.00.01.01.00.0000.000000.00000
\n", "
" ], "text/plain": [ " training age education black hispanic married no_degree \\\n", "16827 0.0 26.0 13.0 0.0 0.0 0.0 0.0 \n", "5412 0.0 27.0 12.0 0.0 0.0 1.0 0.0 \n", "15399 0.0 26.0 12.0 0.0 0.0 0.0 0.0 \n", "13077 0.0 38.0 16.0 0.0 0.0 1.0 0.0 \n", "2189 0.0 55.0 8.0 0.0 0.0 1.0 1.0 \n", "\n", " re74 re75 re78 \n", "16827 58.778 50.12903 31.03226 \n", "5412 16297.180 13429.21000 19562.14000 \n", "15399 5217.527 3174.24200 25564.67000 \n", "13077 23713.010 9178.98400 18814.41000 \n", "2189 0.000 0.00000 0.00000 " ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "\n", "columns = [\"training\", # Treatment assignment indicator\n", " \"age\", # Age of participant\n", " \"education\", # Years of education\n", " \"black\", # Indicate whether individual is black\n", " \"hispanic\", # Indicate whether individual is hispanic\n", " \"married\", # Indicate whether individual is married\n", " \"no_degree\", # Indicate if individual has no high-school diploma\n", " \"re74\", # Real earnings in 1974, prior to study participation\n", " \"re75\", # Real earnings in 1975, prior to study participation\n", " \"re78\"] # Real earnings in 1978, after study end\n", "\n", "#treated = pd.read_csv(\"http://www.nber.org/~rdehejia/data/nswre74_treated.txt\", \n", "# delim_whitespace=True, header=None, names=columns)\n", "#control = pd.read_csv(\"http://www.nber.org/~rdehejia/data/nswre74_control.txt\",\n", "# delim_whitespace=True, header=None, names=columns)\n", "file_names = [\"http://www.nber.org/~rdehejia/data/nswre74_treated.txt\",\n", " \"http://www.nber.org/~rdehejia/data/nswre74_control.txt\",\n", " \"http://www.nber.org/~rdehejia/data/psid_controls.txt\",\n", " \"http://www.nber.org/~rdehejia/data/psid2_controls.txt\",\n", " \"http://www.nber.org/~rdehejia/data/psid3_controls.txt\",\n", " \"http://www.nber.org/~rdehejia/data/cps_controls.txt\",\n", " \"http://www.nber.org/~rdehejia/data/cps2_controls.txt\",\n", " \"http://www.nber.org/~rdehejia/data/cps3_controls.txt\"]\n", "files = [pd.read_csv(file_name, delim_whitespace=True, header=None, names=columns) for file_name in file_names]\n", "lalonde = pd.concat(files, ignore_index=True)\n", "lalonde = lalonde.sample(frac=1.0, random_state=42) # Shuffle\n", "\n", "print(lalonde.shape)\n", "lalonde.head()" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The dataset contains 22106 people, out of which 185 received training\n" ] } ], "source": [ "print(f'The dataset contains {lalonde.shape[0]} people, out of which {lalonde[\"training\"].sum():.0f} received training')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Design matrix\n", "#### Earning indications\n", "Following the analysis performed by Gelman et al. on their [arm](https://cran.r-project.org/web/packages/arm/index.html) R library, we will create two indicator variables indicating no earnings in 1974 and 1975." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
trainingageeducationblackhispanicmarriedno_degreere74re75re78re74=0re75=0
168270.026.013.00.00.00.00.058.77850.1290331.0322600
54120.027.012.00.00.01.00.016297.18013429.2100019562.1400000
153990.026.012.00.00.00.00.05217.5273174.2420025564.6700000
130770.038.016.00.00.01.00.023713.0109178.9840018814.4100000
21890.055.08.00.00.01.01.00.0000.000000.0000011
\n", "
" ], "text/plain": [ " training age education black hispanic married no_degree \\\n", "16827 0.0 26.0 13.0 0.0 0.0 0.0 0.0 \n", "5412 0.0 27.0 12.0 0.0 0.0 1.0 0.0 \n", "15399 0.0 26.0 12.0 0.0 0.0 0.0 0.0 \n", "13077 0.0 38.0 16.0 0.0 0.0 1.0 0.0 \n", "2189 0.0 55.0 8.0 0.0 0.0 1.0 1.0 \n", "\n", " re74 re75 re78 re74=0 re75=0 \n", "16827 58.778 50.12903 31.03226 0 0 \n", "5412 16297.180 13429.21000 19562.14000 0 0 \n", "15399 5217.527 3174.24200 25564.67000 0 0 \n", "13077 23713.010 9178.98400 18814.41000 0 0 \n", "2189 0.000 0.00000 0.00000 1 1 " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "lalonde = lalonde.join((lalonde[[\"re74\", \"re75\"]] == 0).astype(int), rsuffix=(\"=0\"))\n", "lalonde.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Factorizing education\n", "Since years of schooling are not to be taken by their numerical values, we will factorize it into indicator variables." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(22106, 29)\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
trainingageblackhispanicmarriedno_degreere74re75re78re74=0...education_9.0education_10.0education_11.0education_12.0education_13.0education_14.0education_15.0education_16.0education_17.0education_18.0
168270.026.00.00.00.00.058.77850.1290331.032260...0000100000
54120.027.00.00.01.00.016297.18013429.2100019562.140000...0001000000
153990.026.00.00.00.00.05217.5273174.2420025564.670000...0001000000
130770.038.00.00.01.00.023713.0109178.9840018814.410000...0000000100
21890.055.00.00.01.01.00.0000.000000.000001...0000000000
\n", "

5 rows × 29 columns

\n", "
" ], "text/plain": [ " training age black hispanic married no_degree re74 \\\n", "16827 0.0 26.0 0.0 0.0 0.0 0.0 58.778 \n", "5412 0.0 27.0 0.0 0.0 1.0 0.0 16297.180 \n", "15399 0.0 26.0 0.0 0.0 0.0 0.0 5217.527 \n", "13077 0.0 38.0 0.0 0.0 1.0 0.0 23713.010 \n", "2189 0.0 55.0 0.0 0.0 1.0 1.0 0.000 \n", "\n", " re75 re78 re74=0 ... education_9.0 education_10.0 \\\n", "16827 50.12903 31.03226 0 ... 0 0 \n", "5412 13429.21000 19562.14000 0 ... 0 0 \n", "15399 3174.24200 25564.67000 0 ... 0 0 \n", "13077 9178.98400 18814.41000 0 ... 0 0 \n", "2189 0.00000 0.00000 1 ... 0 0 \n", "\n", " education_11.0 education_12.0 education_13.0 education_14.0 \\\n", "16827 0 0 1 0 \n", "5412 0 1 0 0 \n", "15399 0 1 0 0 \n", "13077 0 0 0 0 \n", "2189 0 0 0 0 \n", "\n", " education_15.0 education_16.0 education_17.0 education_18.0 \n", "16827 0 0 0 0 \n", "5412 0 0 0 0 \n", "15399 0 0 0 0 \n", "13077 0 1 0 0 \n", "2189 0 0 0 0 \n", "\n", "[5 rows x 29 columns]" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "lalonde = pd.get_dummies(lalonde, columns=[\"education\"], drop_first=True)\n", "print(lalonde.shape)\n", "lalonde.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Variables selection\n", "Lastly, we extract the covariates, treatment and outcome variables" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "((22106, 27), (22106,), (22106,))" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "a = lalonde.pop(\"training\")\n", "y = lalonde.pop(\"re78\")\n", "X = lalonde\n", "X.shape, a.shape, y.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## The Model\n", "After defining the design matrix `X`, we can continue to define the causal model.\n", "\n", "In the spirit of Dehejia and Wahba's propensity-based analysis, \n", "we will use an Inverse Treatment Probability Weighting (IPTW, or IPW) causal model. \n", "Briefly, this model will model the probability of participants to be assigned to job-training program and use it to emulate two equal-sized populations: one of those being assigned to the program and another of ones who don't.\n", "In this synthetic population, we could use the actual earnings in 1978 to estimate what would have happen if everyone were to join the program or everyone were to not be part of it at all.\n", "\n", "Before we define the causal model itself, we will need to use a machine learning model to estimate the propensity score $\\Pr[A=1|X]$ - the probability of each participant to be assigned to job training. \n", "Following the design matrix we prepared above, and given the binary nature of our treatment, we will choose a logistic regression for this task." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "from sklearn.linear_model import LogisticRegression\n", "\n", "learner = LogisticRegression(penalty='none', # No regularization, new in scikit-learn 0.21.*\n", " solver='lbfgs', class_weight=\"balanced\", # The classes are very imbalanced\n", " max_iter=500) # Increaed to achieve convergence with 'lbfgs' solver" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Once we defined a learner, we can simply plug it into the causal model" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "from causallib.estimation import IPW\n", "\n", "ipw = IPW(learner)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Estimating Causal Effect\n", "Once we defined the causal model (yes, that was all it took), we can move on to estimate the effect of job-training on yearly earnings.\n", "\n", "First, we will fit our causal model. \n", "Second, we'll predict the potential outcomes: what would be the earnings in 1978 if everyone were to join the job-training or everyone were to not join the training program.\n", "Third, we will use the two potential outcomes to estimate the effect: the difference of the two potential outcomes." ] }, { "cell_type": "code", "execution_count": 134, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0.0 9172.043487\n", "1.0 6490.507783\n", "dtype: float64\n" ] } ], "source": [ "ipw.fit(X, a)\n", "outcomes = ipw.estimate_population_outcome(X, a, y)\n", "effect = ipw.estimate_effect(outcomes[1], outcomes[0])\n", "print(outcomes)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Checking the potential outcomes, we can see that the average earnings at the end of the study (1978) if everyone would have joined the program (`treatment==1`) is predicted at 6490\\$ while the same averge if everyone did not join the program is estimated at (`treatment==0`) is 9172\\$.\n", "\n", "Indeed, we might conclude that job-training accounts for an income *loss* of 2682\\$ on average!\n", "\n", "This seems like a total failure, then. But in reality this doesn't make sense, since at most training would not help, but it can't hurt. Obviously something is not right here, so let's take a closer look at the model perfomrance." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Evaluating the model and the data" ] }, { "cell_type": "code", "execution_count": 69, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "%matplotlib inline\n", "from causallib.evaluation import PropensityEvaluator\n", "\n", "evaluator = PropensityEvaluator(ipw)\n", "plots = [\"covariate_balance_love\", \"weight_distribution\"] #, \"roc_curve\", \"calibration\"]\n", "evaluation_results = evaluator.evaluate_simple(X, a, y, plots=plots)\n", "\n", "fig = evaluation_results.plots[\"covariate_balance_love\"].get_figure()\n", "fig.set_size_inches(10, 12) # set a more compact size than default\n", "fig;" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "From the covariate balancing plot (top) We can see that many features are incredibly biased between the treated and untreated groups, specifically black, earnings at 1974, earnings at 1975, and marital status.\n", "\n", "From the propensity distribution plot (bottom) we can see that the model was able to discern with almost certainty who was going to receive training and who wasn't. This indicates a problem in positivity, where there are populations we cannot compare because they never had the chance to receive any other treatment from what they actually got.\n", "\n", "### Resolve positivity violation\n", "\n", "In this case we need to investigate what is causing the lack of positivity and adjust the data accordingly.\n", "In the originial paper by Dehejia et al. they simply removed the individuals with low propensities, where there is an obvious lack of positivity (no treated at all). \n", "The problem with such an approach is that we are removing parts of the data without knowing the characteristics of that data. It should be noted that by removing parts of the data our results will be limited only to the remaining data, but if we do not characterize the part we are removing we might still assume that our conclusions are applicable for the whole population, while they are not. \n", "\n", "Therefore, let's first try to identify who these individuals might be and correct the data in a way that we can say who is removed.\n", "\n", "To do this we can check the model using a decision tree for classifying who we wish to remove:" ] }, { "cell_type": "code", "execution_count": 135, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.08907563929939052" ] }, "execution_count": 135, "metadata": {}, "output_type": "execute_result" } ], "source": [ "min_val = min(ipw.compute_propensity_matrix(X[a==1])[1])\n", "violating = pd.Series(ipw.compute_propensity_matrix(X)[1] < min_val).rename(\"\")\n", "min_val" ] }, { "cell_type": "code", "execution_count": 71, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAABGoAAAEeCAYAAADSPPN2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAAgAElEQVR4nOzdd3AVVRvH8e+m9wAJkEIKBAi99w5K772DAipVRAXFV0VBAUUURRAriIUiRZqAKNJ7l94htCQQSnrd94/ADTEBqSbA7zNzZ3L3nD377E4Iu8+eYpimiYiIiIiIiIiIZD2rrA5ARERERERERERSKVEjIiIiIiIiIpJNKFEjIiIiIiIiIpJNKFEjIiIiIiIiIpJNKFEjIiIiIiIiIpJNKFEjIiIiIiIiIpJNKFEjIiIiIiIiIpJNKFEjIiIiIiIiIpJNKFEjIiIiIiIiIpJNKFEjIiIiIiIiIpJNKFEjIiIiIiIiIpJNKFEjIiIiIiIiIpJNKFEjIiIiIiIiIpJNKFEjIiIiIiIiIpJNKFEjIiIiIiIiIpJNKFEjIiIiIiIiIpJN2GR1ACIiInJ37B0cLyTEx+XN6jjk0WBn7xAaHxfrldVxiIiIyJ0xTNPM6hhERETkLhiGYS48FJ3VYcgjokWwM6ZpGlkdh4iIiNwZDX0SEREREREREckmlKgREREREREREckmlKgRERGR2wo/F0KHsnksn/ZlctMi2Jmje3cC8PPE92ld3D1dnaxw7fIlRg/sTJdK+ehZowA/ThhpKdv611KGdqxLp/LePFurED9PfD/dvokJ8Xz13qt0qxJAp/LefDC4u6Xs58/eo1ftwnQs58ULDUrxx9zpt4xh7lfj6d+4HB3L5mVAk/Js+H2BpexCyAlebluTzhV96VIpH+/370hE2PkMbRzcuZmWRVyY89VH93M5RERE5BGlyYRFRESecEmJidjY2t6yPLePH7N3hlm+b/5zCV+99wpBxctYttVv25P+Iz+7rziuXAojh8e9J3l+nvg+ZkoKU9ccIfJKBK93eZrg0hWpWLcxMdGRdHvpbYqVr8aVi2GM6N0Sb7/81G3VBYBp494kJuoaU5bvwtHZlZOH91rardOiE236DMHByZlzJ48yvFsDCpeqgH+hYhlisLK2ZtiE6fgXKsb+7Rt4r2978hcpibd/AdxyejJswg/kzRdAUmIiP382im9Gv8awCWmJn5SUFL4ZPYxCpSrc83UQERGRR5t61IiIiDyBWgQ7s+SnL+lTrygjX2gDwN4taxnSpjqdK/jwRvdGnD99PNN9Vy+aRa1mHTCM+5+fNiYqkmWzvuPltjX5atSr99VW+LnTVH6qKfYOjnh6+VK8QnVCjh0EoHazDpSuWhdbO3ty+/hRtUELDv+9HUjtibP2tzn0ffsTXNxzYm1jQ1CxtCSUT2BBHJycgdREjIFB2LnTmcbQuvdLBAaXwMrKihIVa+BfqBgnDuwBwMnFFS+/QAzDwDAMrG1sCT1zMt3+y2Z+S9FyVchXoPB9XQsRERF5dKlHjYiIyBNq1/qVfLZwC9Y2NoSfP8MHg7sxfOIMgstWZumMrxn3Ug/Gz12bLiETExXJlr9+Y/wvq9O1tfa3OaxbNo/cPn507P861Rq0vO2xD+/Zxu+zp7J+2XyKlq9KuxdepVLdJpbyQc0rcfH8mUz37TviE2o375hhe6OOvflj3g/UaNyWa5cvcWDHJpr3GJBpGwd3bKZGk7YAnDq8D8+8vnw79nU2LP+V3D5+PDtsNKWr1rHUn/PVR8ya/AHxsTEULFGOUlXqZNruzWKirhFy9AB+BYuk2965gg+x0ZFYWVszeOxXlu3XLl9i0fTJfPTLKr5+f+i/ti8iIiKPJyVqREREnlDt+w7FycUVgNWLZlKtYWuKVagGQLNufZn5+RhCz5zCyy/Qss/GFQvwCQgioHBxy7YajdvQuFNv3HJ6smfTKj4Y3J3c3n4UKlkuwzF3b1zFd2NfJzYmmqfb9uDzJdvxyOudod7ERVvu+nwCg0twNeIinSp4k5KcTOtegylYomyGer/99BUR4Reo17orABFh5zm6byfVG7dh2tpj7Fi7grEvduXL5btxy+UJQLvnX6Xtc69weM82dm9chbX1v99CTXprEJXqNcEvKH2iZsa2c8REXWP57Kl4+xewbJ/+8QhaPjsIZ1f3uz53EREReXxo6JOIiMgTytPL1/Jz+Lkz/DnvBzpX8LF84mKjM0x2u3rRrAy9WfwLFiVnbi+sbWwoW+NpajVtz5aVSzI95tWIcELPnCIwuAT5i5Qkh+eDm3j4wyE9CC5dkdk7w5i+4QRH9+1k4feT0tXZ+tdSZk/5kLe+nIO9gyMAdg6OODg506bPEGzt7Kj8VFN8AoI4tHtrun0NwyC4dEUiws6zYs73t43l+4/e4uKFs/QfOTHTcicXN55q1ZXR/TtimiZH9+7k+L5dNGj/zL1fABEREXksqEeNiIjIE+rmIU0eeX1o1Kk3fd748Jb1L4dfYO+WtQx6/4vbt2t16/dAtZq2p1LdJqz9bQ6/TPmQSW8NpF7rrjzdpjs+gQUt9QY0rUD4LeaB6f/uZ9Rp0SnD9pOH9vLyuG+xs3fAzt6B2s07smnFQlr0TB3+tG/bej77Xz9GfDUfn4Agy37+BYve9nz+KSU5+Zbz9wDM/3YCW/5aygc/r7AkgzKTnJJMRPgF4mNj2LdtPaePHaR71UAA4mKisLK25uyJowweM+Wu4hMREZFHm3rUiIiICLWatWfdb3PZu3UdKSkpxERFsn7Z/HR11iyZQ5GyVcjtnS/d9s1/LiE68iopKSns3riKNYtnU6FOo1sey8HJmfrtevLhzJWM/G4h8bExDO1YL928LJOWbGP2zrBMP5klaQAKlijHijnfk5SYSOSVCNYu+cUyROvEwT2MHdSFVz76LsNwKN/8hfAvVIwF0yaSnJzMttXLuBByguAylQBYPnsqUVcvk5KSwt4ta1mzeDalqtTONIY/5k5n8Y9TePfbBbi450xXtnfrOo7u3UlycjJRVy8z7cP/EVymEg5OzjRo/wxTlu/m0wUb+XTBRirVa0rzHv3p9droW15HEREReTypR42IiIjg5ZefVz+exrRxb3L2+GHsHZ0oWbkW1Ru1ttRZvWgWDTv2yrDvmsWz+XT4CyQnJpLXL5ABoz4nuHTFOzquf6FiPPe/cTwz9D1OH9l/X+cw6P3JfDlyCN2rBWJtbUP5WvXp0O81ABZ+P4nIKxGMHpCW5ClWvhrvfPMrAK+On8aE15/np09H4eWXn9c+/RG3nB4AbF/zO9PHv01SQgKePn70en0s5Ws1AFJ76bz7XGvL8uUzJ43lcvgF+jdOSwa1e2EoHfoOJS4mislvv8jFC2dSr2+lWgyb8AMAjs4uODq7WPaxd3TEycUV1xy57uuaiIiIyKPHME0zq2MQERGRu2AYhrnwUHRWhyGPiBbBzpimef9rqYuIiMh/QkOfRERERERERESyCSVqRERERERERESyCSVqRERERERERESyCSVqRERERERERESyCSVqREREJMv8Oe8HRvRumaUxXLkUxgeDu9O9WiCdK/oy8oW2hJ8LsZTP/Wo8/RuXo2PZvAxoUp4Nvy+wlF2+GMrIF9rSrUoAbUtmXKHpyqUwRvRuSbvSngxsVoGDu7akK9+4YiH9G5ejfZnc9GtYhpBjBx/eiYqIiMgjQYkaEREReaLFxcRQrHxVJi3exvT1J/AJCOLT4S9Yyq2srRk2YToztp+n37uf8tnwvpw/fTy1zMqKinUa8+LoLzJte/KIwXj55eenzSG07v0SYwd1ITEhHoCje3cybdybvPLRt8zeGcaIb37FPafnwz9hERERydaUqBEREXmCpaSkMOXdIXSt7E+n8t682qEOSYmJAMycNJbedYvQsZwXr3V+mtNHD1j261OvKPO/nUDfhqXpVN6bxT98weE92xjQpDxdKuXj16mfWeq+0b0RP306ikHNK9KlUj6+eOclkpOSMo1n75a1DGlTnc4VfHijeyNLQiQ+NoYPBnenc0VfOlf05f3+HR/YNfDyC6R5j/645fLE1s6OJl2e58ie7Zby1r1fIjC4BFZWVpSoWAP/QsU4cWAPAO65ctO4cx8CChfP0G5MVCTbVi2l08Dh2Ds48lTrbjg6u/L35jUAzPlqPJ0HvkFQ8bIYhoGXXyBuuZSoERERedLZZHUAIiIiknV2rvuDw3u28fWf+7B3dOLI39sxrFLf4/gXLMLHc9fi7JqDHye8y2dv9OOj2ass++5Y9wfj56zh3MljvN7laSrVa8oHM/4g/HwIQzvUpV7LLpbEw+pFsxg5dRGOzi68/Wxzls36lqZdX0gXS/j5M3wwuBvDJ84guGxlls74mnEv9WD83LWs/PVnEhPi+X7dMQzDiqN7d2R6Pvu3bWBU33a3PN8Z28796zU5sHMTfoWKZloWE3WNkKMH8CtY5F/bOX/qKM6u7uT0zGvZFlC4OCHHDlKuZn2O7t1OUPHS9KlXFNM0qdOiE10Hv42Vld6jiYiIPMmUqBEREXmC2djaEhsdxbmTRwkqXoYiZSpZyqo1bGX5uX3focz/dgKJCQnY2tkB0Lx7f5xd3SlUshw5PPNQvVFrXNxz4uKek9zefoQcP0Tx64map9v2wMsvPwCtnn2RP+b+kCFRs3rRTKo1bE2xCtUAaNatLzM/H0PomVNY29gSeSWCsDOnyBcUTNFyVTI9n2IVqt1RMuZWws+F8P1Hb/HyuG8zLZ/01iAq1WuCX9C/J2riYmNwdHFLt83JxZXY6GgAIsLOs23VcsbPWUNSYiLv9GlJHt8AGnZ49p7jFxERkUefEjUiIiJPsNJV69KgwzNMeP05oq5cpkHHXnQZ9D8Als+eysJpn3Mp9ByGYWCaJlHXLlt6iNw8TMfO3hH3m787OBAXE2357unta/k5t48fEeEXMsQSfu4Mf877gTWLZ1u2JSYmEBF2nrotOxN25iQjX2gLpCZ7mnR9/gFdhVSRVyJ457nWdOg7jDLV6mUo//6jt7h44Swjpy66o/YcHJ2IjY5Mty0mKhJHZ2cg9Zo1794P91y5AWjc6Tl2rvtDiRoREZEnnBI1IiIiT7jWvQbTutdgzp06xps9GlO0XBV8Agry3ZjXGf3jMgoUK0NM1DU6V/AB07ynY1y8kNbLJfz8GXLmzpuhjkdeHxp16k2fNz7MtI1uQ0bQbcgIju7dyRvdG1K6Wl188xdKV2fftvW8+1zrW8Yxe2dYptvjYqJ59/k2VH6qKc2698tQPv/bCWz5aykf/LwCewfHW7Z/M++AgkRfu8Lli6GW5NbpI/tp0L4nAP6FioJh3FFbIiIi8uTQIGgREZEn2JG/d3B0706Sk5NxcnHFytoGKytr4mKiMKyscMuVm6TEBGZMfP++jvPH3OmEnjnF1YhwFkybSLUGGZfkrtWsPet+m8veretISUkhJiqS9cvmA/D35jWEHDuIaZo4u7ljZWWNlbV1hjaKV6jO7J1ht/xkJjEhgTGDOuNfsCg9Xn4309gX/ziFd79dgIt7zgzlCfFxlpWcbv7ZycWVCnUaM2vyByTEx/HXrz8TE3mVkpVrAVC3ZRcW//AFkVciuHwxlGWzvqVczQZ3eEVFRETkcaUeNSIiIk+wmKirfP3+UMLOnsbByZmn2/agdNU6ANRv35NBzSri6OxC50Fv3tdxajVtz3v92nHxwjlqNm5Lo059MtTx8svPqx9PY9q4Nzl7/DD2jk6UrFyL6o1aExF2ns/fGsjl8Au4uOek20tv4+1f4L5iuuHQrs3sXPcn9o5OrFs617J90pLt5PbxY+aksVwOv0D/xmUtZe1eGEqHvkNTfy7lkba9lAd5fP35ZmXqCln93pnAhNeeo0ulfOTNF8jrn8/A1s4egEadenP+9DFeaFAKOzt7nmrbnafbdn8g5yQiIiKPLsO8xy7MIiIikjUMwzAXHor+94rZxBvdG9GoU29qNW2f1aE8kVoEO2OapsZYiYiIPCI09ElEREREREREJJtQokZEREREREREJJvQ0CcREZFHzKM29EmyloY+iYiIPFrUo0ZEREREREREJJtQokZEREREREREJJtQokZEROQJ16deUQ7u2pLVYfD35jW0LOJCh7J5OHloLwDXLl9i9MDOdKmUj541CvDjhJGZ7juid0valsyVbtuh3VsZ2KwC7Up7MqJ3C65cCgMgMSGeT4e/wLO1CtGpvDfDuzW0HO/fXL4YysgX2tKtSkCG4wF8/tZAetYoQMdyXgxqXpGtfy21lE1++0U6lM1j+bQu7s6ovu3+Nd6bHdy5mZZFXJjz1UeWbV+/P5R2pTzo16hshvoiIiLy6FGiRkRERLINn8BCzN4ZRmBwCQB+nvg+ZkoKU9ccYfyctaxaOCNd8gNg44qFxMfFptuWEB/HmIGdafvcK/y0OYS8voF88c5LACQnJZE3X37GzV7FT1vOUPmppowe0OmO4rOysqJinca8OPqLTMtbPTOIb1YeYNaOC7z4/hTGv9qLqKuXAeg/8jNm7wyzfAIKF6fK083/Nd4bUlJS+Gb0MAqVqpBu+3P/G8eIr+ffUfwiIiKS/SlRIyIi8hiYOWksn781MN22l9vWtCQ1vnjnJZ6pEUTnCj6806cVl0LPZdrOG90bsWbJL5bvP098n8lvv2j5vn7ZfAY0rUCXSvl4r2/7THt9PEjh505T+amm2Ds44unlS/EK1Qk5dtBSHh8Xy8+fjaLnK+l72vy9eQ3Oru7UbdkZewdHOg4Yzta/lhIbHYWDkzOdBryOp5cv1tbWNO3al9AzJ7l2+dK/xuOeKzeNO/choHDxTMvzBQVja2cPgJWNNUmJCUSEX8hQL+TYQUKOHqRaw1b/Gu8Ny2Z+S9FyVchXoPC/XzgRERF5ZClRIyIi8hio2aQtm1YsIjkpCYALISc5f/o4Zao/BUCx8lWZvGwn09Ydw9U9J9+NHX7XxziyZzvfjn2doR9PY/r6E/gWKJyh18cNqxfNonMFn0w/g5pXuuNjNurYm62rlhEXE03Y2dMc2LGJUlXqWMrnfPkRNZt2IFce73T7hRw7iH+hYpbvHnm9cXJx49ypoxmOcWjXZnJ45sEtp8cdx3U7X7zzEu1KeTCkdXVKV6uLX1CRDHVWL5xFxbqNcXZ1v6N4r12+xKLpk+k08I0HEqOIiIhkXzZZHYCIiIjcP9/8hciVx4s9m1ZRtsbTrF86l8pPNcXWzg6A2s07Wuq2eW4II59ve9fHWDHne5p2fcEyLKnTgOF0qeRLclIS1jbpbylqN++Y7pj3KjC4BFcjLtKpgjcpycm07jWYgiVS52K5EHKCDct/ZcKvG4gIS99rJS4mBicX13TbnFxciYtJv6x51LUrTHprEN1eGnHfsd7Q750JPP/WeP7evJrTRw5gGBlXxl69eDa9Xh9zx/FO/3gELZ8dZEnsiIiIyONLPWpEREQeEzWatGPd0nkArFs2j5qN05IxsyZ/wPP1S9KxnBevd2lA5JWIu24//HwIMyeNsfSM6VW7MNbWNly+GPrAzuGfPhzSg+DSFZm9M4zpG05wdN9OFn4/CYBvRr9GtyEjLEONbubg5JRu2BBATFQkDk7Olu8J8XGMHtCJCnUbUb9dzwcat7W1NWWq1WPXhpXsWLsiXdmBHZuIunaFCrUb3lG8R/fu5Pi+XTRo/8wDjVFERESyJ/WoEREReUzUaNyGoR3q0rr3S4SdPU3pavUA2LtlLctnf8d73/+Gt38BTh76m1fb18m0DQdHJ+JjYyzfr1xMm4PGI68P3Ye8Q4ueA/41llULZzJ5xIuZluX28WfSkm13dE4nD+3l5XHfYmfvgJ29A7Wbd2TTioW06DmAfdvWc2DHJj5/cyCmmUJiQjxdK/vzwc8r8Asqwoo50y3tRISdJybqGj4BBQFITk5m3JCeeOTxptdrY251+PuWkpzMhdMn0m1bvWgW1Ru2Spdgul28v/8yjdPHDtK9aiAAcTFRWFlbc/bEUQaPmfLQYhcREZGsoR41IiIijwjDMHIbhnHLMUs+AUHk9snHlHdfovJTzbCxtQUgNjoKGxtb3HLkIjY6il+mfHSrJggsUpINy38lMSGe4wd2s2H5r5ayp9p0Z/EPX3Di4B4AIq9EsOmPxZm2U6dFp3QrHN38udMkDUDBEuVYMed7khITibwSwdolv1gm8v188TY+XbCRTxds5O2v5mFrZ8+nCzbiHRBEycq1iL56mdWLZhEfF8vMSWOpWLcxjs4uqfu+OYCE+FgGj/0qw9CkvzevoU+9oreMKSE+jsSE+Aw/x0ZH8deCGcRGR5GclMSG5b+yd8tailesbtk3OSmJdUvnZRgWdrt4G7R/hinLd1vOtVK9pjTv0Z9er42+4+toGEZJwzB03yciIvII0H/YIiIi2ZRhGL6GYXQ2DGOKYRj7gSNAr9vtU7NxW/ZsWk2Nxm0s28rVrE9w6Yr0rlOEl1pVTZc4+KeWzwwkIT6ObpX9mTbuTWo2bWcpK1quCs8Me59Phj1Hx3JeDGlTnQM7Nt73ed7OoPcnc2zfTrpXC6Rfo7LkyuNNh36vAakT7np6+eLp5UtOz7wAqSs52dhgZ+/A65/PYPaUcXSt7MeFkOP0HfEJAGFnT/PnvB/Yt3U9XSr50qFsHjqUzcO+besBuBR6joIlyt8ypnalPOjfuCyJCfG0K+VBv0ZlADAMgz/mTqdX7cJ0rezHnC8/4tWPv0+3QtSOdX9gZ29P8Yo10rV5u3gdnV0s5+np5Yu9oyNOLq645sh1N5dyHhBuGMYCwzBeNgyjgmEY6lktIiKSDRmmaWZ1DCIiIk88I7VbR36g1vVPbcAdWHP9sxrYY5pmsmEY5sJD0bds61H19+Y1TB4xmC+W7czSOL545yXqtuxMkbKVszSOu3G7a9ci2BnTNA3DMHxI+/2qBfgBG0j7HdtqmmbCfxi2iIiIZEJvUkRERLLA9cRMMGlJmVqANWlJmfHAAdM0U7IsyP+YYWVF+PkQOlfwYcxPv1tWl/qv9XtnQpYc9159O+Y1fv/le/LmC7htPdM0zwEzr38wDCM3UIPU372JQGHDMLaQ9ju42TTNmFs0JyIiIg+JetSIiIj8B67PD1KS9D0aYkjfY+aYeQf/MT+uPWrk4bjRo+bf6hmGkQOoRlrisBSwi9TfzTXAetM0Ix9mrCIiIqJEjYiIyENxff6PsqQ99NYAwkl76F1jmubpe2xbiRq5Y3eaqPknwzCcgaqk9foqDxwgLbG4zjTNu1/nXURERG5LiRoREZEHwDAMe6AiaQ+1VYGTpD3UrjVN88IDOpYSNXLH7jVR80+GYTiQ+jt+I/lYFThB+uRj6P0eR0RE5EmnRI2IiMg9MAzDCahC2kNrBeAgaUOZ1j6s3gZK1MjdeFCJmn8yDMMWKEfaUL4aQCg3DeczTTPkQR9XRETkcadEjYiIyB0wDMMNqE5aj5lSwG7SehNsME3z2n8Ri72D44WE+Li8/8Wx5NFnZ+8QGh8X6/Wwj2MYhjVp8zDdSGBGcVOPG+5wHiYREZEnmRI1IiIimTAMwwOoSVpvgWBgK1oRR+SOXF/ZrAhpSZva14tunkD7gBI3IiIi6SlRIyIiAhiG4U1qYubGQ6U/sJHr88sAW03TjM+6CEUebdcTNwVIS37WBlxJ/fd1o9fNHtM0k7MsSBERkWxAiRoREXkiGYYRQPoHRk9SHxhvvOnfZZpmUtZFKPL4MwzDj/RL1nsB60nrdbPdNM3ErItQRETkv6dEjYiIPPauv8kvSFpvmVqAI+nnzthrmmZKlgUpIhiGkZe0IYe1Se2Bs4m0BOoW0zTjsi5CERGRh0+JGhEReewYhmEFFCP9pKZJpD7o3UjOHNbcGCLZm2EYuUidxPvGv+NiwA7S/h1vNE0zKusiFBERefCUqBERkUfe9dVmSpP2MFcTuEL6HjMnlZgRebQZhuEKVCOtZ1xZYC9pPW7Wm6Z5JesiFBERuX9K1IiIyCPHMAw7oDxpPWaqAWdJe1hba5rm2ayLUET+C4ZhOAKVSftbUAk4SlqSdq1pmuFZF6GIiMjdU6JGRESyvX88jNW6/vMR0nrL6GFMRG5O4t7oXVcdOEPa34o1SuKKiEh2p0SNiIhkO9eHN1Ql7WHrxvCGG2/JNbxBRP6VYRg2pA6LvNHjpiZwmbTedxoWKSIi2Y4SNSIikuUMw8gJ1CDtYaoYsJ20h6lNmjBURO7XTRON30gC1wYSST+f1SElbkREJCspUSMiIv85wzDykPpm+8bDUhCpS/DeeFjSErwi8tAZhmEAhUgbVlkbcCAtabMa2GuaZkqWBSkiIk8cJWpEROShMwwjH+kfhLyBdaQ9CO0wTTMx6yIUEUllGEYAaX+ragGepP69upFI3mmaZlLWRSgiIo87JWpEROSBuv6GOj9pDzm1ADdumswT2GOaZnKWBSkicocMw/Am7W9ZLcAf2Eja37OtpmnGZ12EIiLyuFGiRkRE7sv1xEwR0r+BtiL17fONN9AHNOeDiDwODMPwJP2cWsHAVtLPqRWTdRGKiMijTokaERG5K4ZhWAMlSf+GOZq0pMxq4LgSMyLyJDAMwx2oRlqiuhSwm7QeN+tN07yWdRGKiMijRokaERG5LcMwbEldHvvGQ0gNIJS0pMxa0zRPZ12EIiLZh2EYzkAV0hLZFYGDpP3NXGea5qWsi1BERLI7JWpERCQdwzDsgUqkdeuvApzgpjlmTNMMzboIRUQeHdf/plYk7W9qVeAUNy0JbprmhayLUEREshslakREnnA3vf290WOmAnCAtIeIdaZpRmRdhCIijw/DMGyAcqT1uKkJhHHTkuDqpSgi8mRTokZE5AlzfT6F6qS93S0J7CLtIWGD5lMQEflvXJ/3qwTpJ2SPIW2o1BrgqOb9EhF5cihRI/IfcrSzuRCXmJw3q+OQ7MHB1jo0NiHJ62Ef5/oKJTVJewgoDGwh7QFgs1YoERHJHq6vpBdMWtKmNqkr6a256bPfNM2UB31sazvHCymJcbpPkTtiZesQmpwQ+9DvY0SeRErUiPyHDMMww6f2zeowJJvI/ewUTNM0HnS7hmF4k/7NrB+wgbS3s7ac2LoAACAASURBVNtM00x40McVEZEH73riJj9pQ6VqA+7AWtIS7rtN00x+AMcy28zSdDlyZ+Z19Hoo9zEiAjZZHYCIiNwfwzACSX8D70HaDfx3wC7TNJOyKj4REbl314c8Hb/+mQZgGEY+UntK1gaeB3wMw1hPWo+bbaZpJv6zLcMwJgKLTdNc/t9ELyIi90KJGhGRbMYwDCfgS+Bn0zSX/qPMAAqR1lumFmBP2s35p8C+h9ElXkREsgfTNM8AM65/MAwjD2lDXCcDBQ3D2ExaT8otpmnGAjOBOYZhjDJNc3KWBC8iIv9KiRoRuStnLkXy1DtzOTTxmbvet8P4JbSuHETnGkUefGC3EX4tlgFfr2TT4fME5Hblk2frUCEo8yH4LccuYPuxMKytU3vyVinszayXm/5nsRqG4QMsBPYBKw3DsAKKk34oUwJp3d3fAw5rkkkRkSeXaZphwNzrHwzDyEnqpPG1gQ+BEoZh7CD1/47XgDcMwwgGXn4QQ6YepHkdvWjy5R4ccuTJULZt8ou4+hQiuNWgh9L+f8VMSWH3tDc5veYXbBycKNp+GPmf6ppp3f2/jOPQ/E+xsrGzbGs5/fh/FaqIZBElakQkU4lJydjaWGfYls/D9Z6SNPcqJcXkSkw8uVwc7rmNod+vITC3K98PasiCLcd49vPlbPuwK/a21pnWn9inLq0rF7zn490rwzDKAguARcAxYBapb0gjSE3KLAaGAaeUmBERkVsxTfMyqf9nLAYwDMMFqEpq4qYPqXOX9QUaGYZRVL0w707c1XAc3HPf8/7Hln9HxJHtNJy4mdhL51g7sh05g8qQI7B4pvUD63ah7HMf3vPxROTRo0SNyGMg97NTGNutBp8t2Ul8YjIf9qiJg60Nb/y8jui4REZ3rWFJPPywej8Tf9tF2LVYAnO7MbZbDaoU9gZSe5NUDfbh912nOHbhCqe+7GNpe9LSXQR55WD8M7WoNnwWZ75+DkjtYTN0+lq2HwvF082RUZ2r8VRJfwCOXbhC/69XcujcZZqWy09Kyp3fB569FMXPaw/y09qDDG5almfrZX7z8m+iYhP4ffcpdo3vhqOdDZ1qBPPpkp2sP3iOeiX97qnNh8EwjB6kzieTDNQFDFK7qPc3TfNcVsYmIiKPNtM0owzDcAA8gZxACqk9N09laWC3cHbjQg4tnASmSZG2L1Ogfo8MdaLOH2f7lJe5dno/1vZOBNbrQrEOwyzlZzb8ysG5nxBz8QxOuf2o/PI3uPqkfwlzZsOv7J89jhr/m4lT7tvfEyTGRnFm/XxO/PkjznkDqPzSV/d8fiHr5lG4RX/sXXNh75qLfFVbcGbDr7dM1IjIk0eJGpHHxI7jYWz+oDMrdp/m1e/X0KBMAGtGdWDdgXO8+O1ftKhYAGsrK/LmcGb+sBZ45XRi6sr9vDDlD7aP64qNtRUA8zYdYfYrzcibw8nS9up9Z1gzqgPW1laEX0tbxTklxaTbp8voVqsoP7zYiF0nw+k6YSlr3utAXncn+n75Jw1KB7BoeEtmrT/M0OlraFu10C3PISk5hRW7T/HDmgNsPnyB5hUK8HW/p6lYMHXlxzOXIqn91i+33H/1qPbk83BNt+1Y6FXcnezI4552PkXz5eLwuYhbJmqG/7iO4T+uo4S/B+92qkZxP4/bXPkH5gipPWl8gBJAZVKTNrsBJWpEROR+lQP2A9+QukpUhsmGs4vQPatp8Mk6Is8dZe3IdngEV8Tdv2iGesU7vkau4IpEXzjB2lHtyFW4Al5l6nHp4BZ2ffcGVV+dRq7CFYg6fwwbx/T3B6fX/MLB+Z9S483ZOHn63jKWiKM7OPnnT5zdtAiPIpUIbvUi3uUbWMr/GFqX2ItnM923TO+x+NVok2F75NnDuPmlDQN38y9C2J7Vt4zhzIZfObNxIU6581GkzRB8K/93Q7JFJGsoUSPymBjQqDQOtjY0KRdIn8kr6FW3OE72tjQoE0BUXCIXLsfg6+FCg9IBln36PF2CD37dyumLkRTI6w5A99pFCczjlq7tl5qVxcXRjn/acSKMxOQU+jxdAoAKQXmpVsSHP/ecpkZRHw6fv8yS/7XCzsaa7rWL8tlvO28Z/9d//M1nS3bi5+lK15pF+bpffZztbdPVyefhyrHJve7qusQkJGWI3dXRjuj4zBdBGtGhCoV9cmFtZfDNH3/T+ZPf2DC6Ey4OtpnWf1BM09wItAYwDMMeKE/q/AJut9tPRETkTpim+W5Wx3CnglsOwsbBmZwFSuNbpRnnNi/JkKhx8S6Ai3cBAFx9C5GvaksuHdyCV5l6nFo9iwINeuJRpJKl/GYn/5pByNo51HxrDo65vDKNIWzvOv6ePoKkuGgC6nbm6fFrMq379Li/7vr8kuJi0iWObB1dSYqLzrRuvqotKFC/J3auuQjfu47NnzyHk6cvOYPK3PVxReTRoUSNyGPCw80RAGsrK2ytrfBwS5vTxd7WmpiE1Bdnv+04wUcLtnMq/BoAkXEJXI6Kg+uJGt9cLhna9slkG6T2cDkeepWg/t9ZtiWlpFA6wJOwq7HkdnPE7qZ5bjJr+4bT4ZHExCdR0t+TEv4eGZI098rJzobouPQvDSNjE3C2z/zPX7kCaZMMD2pSlp/XHmLn8TBqFrv127YHzTTNeGDD9Y+IiMgTxdHTx/Kzk4cvcVfCMtSJjTjPrm+HE3FkO8kJcaQkJRBQp+P1snN4BFe8ZfvHfvuK4FaDb5mkAYi/epHosNPkKVET94BiOOS49zlp/snGwYmk2CjL98TYSGwcnDOt65Yv2PJz3tJ18KvemvPblytRI/KYU6JG5AkSn5jMC1P+4IfBjahZ1BdrKysKDZzKzbPSpq7+nF5m2wC8czpTxDcnf73bPkPZ6YvXCL8Wm25S4rMRURnq3TCqczUGNCrNz+sO0nvy77g42NGlZhHaVy1EzusTCZ+5FEn1/826ZRvr3++YYehTUF53rkTHE3Y1xjL86eDZCLrVytiFOjNWVpmfu4iIiDwcsZfO4+SZD4CYS+dw9PDOUGffzLHYu3vSYMIGbJ1c2fP92yQnxAHg6OFLdNjpW7Zf5ZWpbPmsL055/PCp2DjTOn7VW+Fdvj5nNi7g0PxP2fnVUPxrdyCwTidLTx6AFa/UIib8TKZtlH1uHP4122bY7upbmGshB3HLVxiAayEHcfUtfMt407nFPZmIPF6UqBF5giQkJZOQlIKHqyOmCRN/28m1mIR7bq98gbwkJacwdeU+utZKHWu9/XgYfh4u+Hu6UdArB5/9tosXm5Thl41HCLkYedv2vHI683Lz8gxpVo41+8/yw+oDjJm3hU+erU2rSgXJ5+HKqSl97ipGF0c7GpQOYPzC7bzbqSoLtx7nWmwC1Yv4ZKh7NSaenSfCqFrYB8OA7/7cy5XoeMrmf3Bv0UREROT2Di/8nIqDJhN1/jjnNi+m1ju/ZqiTFBeFk2c+bBxduHJyHyEbfsWnQiMAAmp3ZNNHz5C3TD1yFSpvmaPGMWdqr1lnr0Cqvf4T60d3wsbBhTwla2Yah42DM4F1uxBYtwvXQg5y4s+fWPVWM/xqtKX0M6MAqD9+zV2fn1+NNhxZ/AV5StYk5uI5zm5cRI235mRa99y25eQuVhUbBxfC92/gzPr5VH9j5l0fU0QeLUrUiDxBXB3teKdjFdp+uAhrK4M+T5fEN1fmXW3vhI21FT+/1IT//byeD+ZvxQRKB+bmo56pNzxTXniKAV+vZOLSXTQtl58amSRHMmMYBrWL56N28XxciozlSnT8PccI8GGPmgz4eiWFB07D39OVaQMbWpbm/mTxDjYdPs+sl5uSmJTCe3O2cOT8ZexsrCnp78nMl5tkOj+PiIiIPBx5StTk9yE1MFOSKd75DdwDimWoU7TtK2z9fAALewbhEVwR30pNMK+vLukRXJFSPUex44shxEacwymPP5WHfA0504Y3u/sXpcrL37Fx/LNUfWUquQqXv21Mbn5FKP3MKEp0fZNrIYfu6/yCGj5L1PljLBtYCWt7R4p3edOy4tPFA5tYP6YLLacfB+DMunlsnzwYMzkR5zwBlH3+I3IVKndfxxeR7M8wTfPfa4nIA2EYhhk+tW9WhyHZRO5np2Capvowi4hItmAYhtlm1oWsDkMeEfM6euk+RuQhscrqAEREREREREREJJUSNSIiIiIiIiIi2YQSNSIiIiIiIiIi2YQSNSIiIiIiIiIi2YRWfRKRezJj3UHmbz7G7FeaZmkcq/aF8PaMjZy+FElgbjfe71LdsvT2wG9WMn/zUWysU3PSfh6urHu/IwDbjoXyyrTVnLkUhZ2NFfVK+vNB95q4ONgCUO7VH7kYGYdxfYq89lUL81HPWv/9CYqIiMhdO7VqJiEbFlDjjRlZGseOr4YSvncN0aGnqDNqSbrVpY6v+J7DCyeREBmBrZM7Ber3JLj1iwBEh51m+aBKWNs7WeqXfW4c/jXbArCgR4F0x0mOj6Hyy9/gW7kZF/dvZN+sD7hyYjceRapk+TUQkbunRI2IPLKSklPoPWkF43rUpHXlgszddIQ+k39n34SeWFmlZliGtarI4KZlM+ybP48bM19ugndOF2LiE3n1+zV8vHA7b3eoYqkzb1hzKgTlzbCviIiIyJ3Ikb8EfjVas+3zgRnK8pauS75qrbBzdif2cijr3muPe2BxvMo+BYCVrb1lme5/unn71VP7WfVmU/KUqgOAtb0jBer3IDr0FBcPbXnwJyUiD50SNSKPqJQUk9d/WseCLcdITE6hsHcOFg1via2NNeMXbufHNQe4Eh1PMT8PPu5Zi2DfXEBqT5HeT5Vg+uoDhF+LZXibipQvkIdB364i7GoMLzcvR7+GpQFoOXYBVYN9+G37Cc5fiaZ1pSBGd61h6aFys/UHz/H2zA2cDLtGCX8PJvSqQ/487sTEJzLo279Yve8MANWCfZj+YqMHcg2uxSYQGZdAy0pBGIZB68oF6f/1SiKi4vB0c7ztvh6u6cutra04dfHaA4lLRETkSWempLB76huc2biQlKREXH0LUfvdBVjZ2HJg7secXPkTidFXcfcvRtnnx+GWLxiAZQMrUKBhL07++SNxV8Ip3vE1chYqx/bJg4m7Ek6RNi9RqFlfANa82xrPolU4t2UpsREXyFetJaWffR8r64yPOOH7N/D39HeIDj2Je2Bxyr3wCS5egSTFx7B98mDC/l4DgGfRqlQdOu2BXYcC9XsCYFhlvHdyzuNv+dkwrDCsrIkOO33XxwhZNxfvCg2xdXQBIGdQGXIGleHUqpn3GLWIZDUlakQeUX/tC2Hn8TC2f9gFR3sbdp4It/QiKeyTkxVvt8XdyY4x87Yy+LtVLHurTdq+e0NY8XYbjodepdnoBTQsG8CSN1px5lIkjd+bT4dqhS2JjLkbj/DLq81wcbCl3UeL+X7Vfno/VSJdLGcvRdFn8u9MHdiQigXzMnXlfp774g9WvN2G2RsOk5CYwt4JPbAyDHadCM/0fDYdPk/XCUtveb7HJvfKsC2XiwOtKhVk7qajtK1SkF82HKGkvycerg6WOpOW7mLS0l0U9MrBm+0rUy3Yx1J25lIktd/6hWuxCTjZ2/DzS03Std/js2UAVCyYl/c6V8fP0/WW8YmIiEia0D2riDi6k4YTt2Bj78jlo7ssyQq3fIWpN2Y5tk7u7J81lu1fDKHu+79Z9g3bvYq6o5cRdf44q0e0xLt8A2qPXETMxbOserMp/rXaY+/mAUDIunnU+N9sbBydWfdeR078MZ2ghunvGWIunmXLJ89R+ZXv8ChcgeO/T2PLp89Td/RyTq/5hZSkBJpM2Y1hZcXlY7szPZ+LBzez8YPutzzf5lMP39N1Clk3j51fDyUpLhrnvAH4Vm5mKUtJSuC3vqUxrG3wqdiE4p2HY3PTUCgA0zQJWf8rZXqPuafji0j2pESNyCPK1tqKqLhEjoVepVSAZ7ohOs0rpI1bfqlZWT5ftouEpGTsbKwBeK5+Sdyc7CmTPw+53R1pUTGIHM725HC2x9fDhcPnr1D1eqKmc81gAvO4AdC/UWl+XnswQ6JmzqYjNK9QgCqFvQHo83QJPlqwjdMXI7GxtiIiOo6Qi5EU8s5JpUJemZ5PlcLemSZj/k3zCgV4ZdpqXvz2L5ztbZkxpAnG9Yllnq9fivc6V8fJ3oaFW4/R7dNlrB3VAV+P1DdO+TxcOTa5F+HXYpm+aj/eOZ0t7U554WlKBXqSmJTCmHlb6DFxGSvfaWdpW0RERG7NytqWpLhoos4fI0f+UunmZrk5GRHcejCHF00mJSkBKxs7AIIa98HWyY2cQWWwd/fEt0pz7FxyYOeSAydPXyLPHrEkagLqdMY5bwAAhZr15eRfMzIkakLWzcOncjM8i1RObb9Rbw7MGU9M+GmsrG1JiLxMTHgIrr6F8AiumOn5eBapfM/JmNvxq9EGvxptuHr6AOe2/IaNQ2oixt7Ng7qjl5MjsDixl86xbfKL7JsxmtLPvJdu/4sHNpKcEEve0nUfeGwiknWUqBF5RNUqlo/utYsy8JuVXI6Op0ftogxrlXpz8cPq/Uz5/W/OX47GAEwTrkTHk8c99T//m4f9ONja4HlTDxQHWxti4hMt331zuaT7OfRKTIZYzl6KZMa6Q8zddNSyLTE5hQtXoulQrTCnwyPp8klqb5l+jUrRq16JDG3ci8PnLvPit38xY0gTKhX0YvPRCzzz+XL+GNEWn1wulArwtNRtV7UwszccYdW+M3StVSRdO7ndHHmqpB8Dvl7J0jdbA1gSSg62MKpzNQr0/45T4ZGWpJWIiIjcWp6SNclfryvbJ71IQvQVAp/qRrH2QwE48eePHF3yJbERF1JfgJgmCVFXcciRGwB7Vw9LO9Z2jpakTOp3B5Li0+5FHD3Seso6evoSdyUsQywxF89watUszqyfb9mWkpRIXEQo/rXaER12mg0fdAOgYNO+BDV89gFdhTvn7l+U0N1/cXDeBEp0+R82Ds7kLFAKAKfcfpTo/CabJzyfIVETsm4evlWaY2Vj+5/HLCIPjxI1Io+w/o1K079RaY6HXqX1BwupVMiLAnndeWvmRha81oJSAZ5ExiYQNGAq5j0e49zl6LSfI6LI455x7hevnM70rFuM9zpXz7SNN9pW4o22ldh9MpwWYxdQu1g+grxypKuz8fB5On285JZxnJrSJ8O2A2cjKO7nYenJU7WwN/nzurP1WCgtb0ow3WB1m84wySkmJ8OuZlpmYKgnjYiIyF0q1LwfhZr3I+rCCdaObItHcCVcvPLz9/QR1Bwxnxz5S5IUG8miZwvDPd6pxEacT/v50jlLsudmjrm8KVC/B6V6jsy0jeKdXqd4p9e5fHw3a95pTZ6StXD1CUpX5+KBTawf0+WWcdxq0t+7YaYkEx16MvPCTG5iUpISOLtpMdWGTb/vY4tI9qJEjcgjateJMAzDoIS/B66OdthYW2FtWBEdl4SVYeDp6khCUgofLth2X8f5ee1B2lYpiJOdLV8s30PnmsEZ6rSpXIhmY36lSbn8VCnkTUx8Iiv3htCiYhDrD54lt5sThbxz4OZkh7WVlWUunZtVLeydaTLmdkr4eXDgTATbj4VSPigvW49eYF/IJYr45ARg0bbj1Cvph72NNYu2HWfL0VDG9UhdYvv33afIn8eNgl45CL0aw9j5W6lZLB+QOnfN+cvRlAnMTUJyCh/M30qApysBuTVHjYiIyJ24fGwXGAY5Aktg4+iCYWWNYWVNUlw0GFbYu3mQkpTAgV8+uq/jnPprBn7VW2Pj4MSRxV8SWKdjhjp+1VuzekQLfCo2xqNIZZLiYwjb/Re+VZoTvm899u65cfUthK2TuyXOf/IsWuWekjEpSQmYKSmYpklKUgLJCXFY2dpjGAanVs8mb+m62Lt7cvXUPo7/Po3gVoMBiDi6AzvnHDh75Sfucij7ZozGu0KDdG1f2Pkntk6u5PrHcC0zJYWUpARSkpPATCE5IQ7Dylq9bkQeIUrUiDyirsUm8L+f13P6YiTO9rZ0qVmEmsV8AehWqwg135qNi4Mtw1pVuK/jtKlckG4TlnHuchStKhXkmTrFMtQJzOPGly88zcjZmzhy/gpO9jbUKOJLi4pBXLgcw5Cpqwm9GkNOZweGt6lI/jzu9xXTDUFeORjbrQYDvlnJhSsx5HFz5L3O1SwrXE35fQ+Dv1uFARTyzsH0QQ0tEwJfvBbLGz+tI/xqLK5OdtQv5c+IDlUBiIpL5JVpazgVfg1HOxsqFfJi+ouN1KtGRETkDiXGRLJn2ptEh4dg4+BMQN3O5ClRA4DAel3449U62Di6WIZD3at81Vuz8cMexEacJ1/VluS/vsrSzZzzBlDxxS/4+6dRRJ07irW9E7mLV8e3SnPiLoey46tXibscip1LTop3fA0Xr8D7iulm697vyMX9G4HUVaoAGk7cgnMefy4f28Xen0aSFBeDQ448FKj/DPmfTp2wOPrCSbbMHE38tUvYueTEp1ITincanq7tkLVz8avRJsP9ycUDG1k7sq3l+4LugfjX7kCF/p89sPMSkYfLMM17HRAhInfLMAwzfGrfrA7jjrUcu4Bn6handeWCWR3KYyn3s1MwTVPZHxERyRYMwzDbzLqQ1WHcsTXvtib/0z3xq94qq0N5Is3r6KX7GJGHxCqrAxARERERERERkVRK1IiIiIiIiIiIZBOao0ZEbmnB6y2zOgQRERGRTNUaMf/fK4mIPILUo0ZEREREREREJJtQokZEREREREREJJvQ0CeRR1i5V3/kq371qRCUN0vjWH/wLK0/XISjnQ1L/9eaYn4eACzZfoL3527m7KUovHM5M31QIwr75MQ0TUb9spmZ6w+RmJxCrWK+fPJMbdyc7AGYv/koY+ZtIfRqDDWL+jKxd11yujgAqStRbT8WhrV16iIDVQp7M+vlpv8aY9jVGF6auoodx8KIikvkzNfPpSs3TZPxC7czbdV+ouISKeqbi6Vvtk5X51pMPFWGz6SEvyezX0k75o9rDjB2/lZi4pNoX7UQY7rWwMrKIPxaLBWG/URcQjJTXnhKq2eJiMgTZdnAClR68UtyFS6fpXGE71vP2lHtsLZzpM57S3D3L8rZTYs4vGgyV0/uI6BOJ8o+96GlfnTYaZYPqoS1vZNlW9nnxuFfM3XJ67ir4Wyb9CKXDmzCOY8/5V742HKO68d05uKBzZb9UhLjyV+/J2V6jf7XOHd8NZTwvWuIDj1FnVFL0l23QwsmcnrVbGIjzuHo4UOxjq/jWzntXuT89t/ZPe1N4q9exLtcfcr1+wSb6/EnJ8az98eRhKyfT0pSInlL16HykK/THTs67BQrXq5NQO0OlmtxZPEU9s/+ADMlhVY/nrrj6y0i90+JGhF5IILy5mDjmE6W77tPhvPu7I183a8+pQI8OX0xEhcHWwAWbTvOwm3H+POdtrg72fP8lD8Yv3AH73aqyuFzl3n1+zXMHdqM4n4evDVzI6/9uI6v+j5taXtin7p3nfSwMgwalA6gZ51i9J60IkP5lyv+ZsvRUP4Y0ZY8bk78ffpihjpj528lyCtHum1/n77IyNmbmDesOT65XGj/0WK+XbmX554uSW43R05N6UPLsQvuKlYRERF5sFy8g2jwyTrLd1uXnBRuMYDwveswU1Iy1Leytafl9OOZtrXr69dwzuNP1Ve/48zGhWz6uDcNJ27G2tae6sNnWOqlJCextF8ZfCo1uaMYc+QvgV+N1mz7fGCGMsPKmkpDvsItXzCXDm5mw4c9cA8ojotXIHFXwtj2+UAqD/mGXIXLs+XTF9g/6wNK9XgXgL0/vUdibCQNJmzAxtGFa6cPZGh/z/cjyBlUOt22Qs364lOpCSternlH8YvIg6OhTyJZbPzC7bw8bXW6bfXfncvvu1LfXAybvoYSQ6YT1P87On68hPOXozJtp+XYBczffNTy/cNft/Lq92ss3xduPUaN/82i0MCpdPt0KeHXYh/C2aT5dMlOhrWqQOnA3BiGQUBuNzxcHQE4cymKyoW88c7pgpO9LY3L5ufw+csArN5/hrol/CiTPw+2Nta81Kwsi7cdJzo+8b7i8XRz5Jm6xSmaL1eGsuSUFD5fuosJz9bGK4czVlYGpQNzp6uzP+QSO46H0al6cLrt8zcfpVWlIEr4e5LLxYGBjcswb9NRREREHgcH5n7Mjq9eTbdt5fCGnN/+OwA7v3mN3/qWZtGzhVk/pjOxEeczbWfNu60JWf+r5fv+X8ax8+thlu9nNy1ixSu1WNSrCBs+7EHc1fCHcDb/Z+++o6Oo2gAO/2Z3s+mN9AbphITeAkhXEJAOAiKIn6AgCEgRUBFRQFCqWJAiShekSBEQVHrvvZOE9N7bZnfn+2NxQ0wCQoBEvM85HrMzd+68s4dM7rxzSyHn6k3xCO2I2sbhoY4ryM0i9vRuqvUci1JtTpUWvVGZW5F06XCxsgnn9yEpVDgFN/lHdfu2GYBTcBMkRfFHtMBOQ7GtXA1JocAxuDE2XkGkR1wEIObEDioF1se5ZnNUZpYEdRtF5CHDRMv5mSlEHf6F2m9MR21lh0Kpws6nRpG64878gSQpcKre9KG+C0EQnhyRqBGEcta1oR/bT4Wh1Rne5kQkZhCWkE7L6p4AhAa4ceSzPlyc9xr2lqZM+unIQ5/jzO0EJv10hEVDXuDyvNcIcLPjveX7Syy74cgN/IYuLfG/Fh+t+8fnPBuWQFRyFnXHrqTO2JVM23AMvV4GoFN9X27FpRGVnElWXgG/nr5Nq+pexmNl5MKfZZkCnZ7b8enGbe+vPEjQ8B/pOXMrlyKTH/brKCY6JQu9Xmb5visEDf+R5z5cWyTpBfD+qoN80qcxf287XY9JJeie5E81z0pci0ktc0yCIAiCUBF4Nu5CzPHt6HVawDBEJjs+HJdaLQFwDAqlzZyDdFh4DrWlPReWT37oc6TcPMP55ZNpOHIhfGVjYQAAIABJREFULy26gLW7P2eXTCixbOTBjWz9X2CJ//3+XqtHvcxi9FoN24fUYsewepz78SO0+TkAZMXeRm1pg5ld4QsdW68gMqKvlxir13NdS0y8lEVBTiaZUdew9ggEIDPqOjZeQcb9NpWDyE9LQJOVRsadK5g7uHF++WS2DazGH+PbkHCxsGeRXqvh4qop1Oj/8WONURCEshFDnwShnPm52uFqb8mBK9G0qu7F5uO3aFfHG7VKCUCPxgHGsu+0r03feTse+hyrDlxl4PMhxrljxnSuT8A7P6DV6VEpizYeejQOKHLORxWXlsPu83fYNakHBTodvWdvp7KjNf1bBONka071yo7UGbsKpUKigb8r/VtUA6B5NQ8+23Cck7fiqV7ZgblbTwOQm29oIH7cqxGB7pVQKiSW/H6BV+Zu5/BnfYzDqh4p1tQcEjNyScvO5+ycfly8k0yv2b8S4uVAoLs9G47cwNXOktAAtyIJI4CcfC3WZmrjZ2szNdl5Zev9IwiCIAgVhbW7H+b2riRePIhLrZZEHdmCW/0XUagMf/u8mnY3lg3oPIzDn/d76HNE7FmD34v/w7ayoS1QrecYtr5RFb1Oi0JZ9HHFq2n3Iud8EkxtHGj12W/YeYeQmxzDyW9HcGnNZ9R6fSq6/BxU5tZFyqssrNHmZRfZps3PIebEDlp88viHP59ZNBa3em2x8Qw0nsvSxrEwHjNLJIUSbV42eanxpN0+j2ejznRYeI64s3s4NmcgbecdxtTGgetbF+Bary2WLlUee5yCIDw6kagRhAqgS0M/Nh+/ZUjUnLjF+90bGvfN3nKKnw5dI+nuUKW/et48jKjkTH4+fJ15284Yt6kUEgnpObhXsir7BZTATK3izReq42hjGO70eutg/rwYRf8Wwcz85RRhCelc+XIAVuYmTN9wgiELf2fZ8HZU9ajErNeaM+L7PaRm5fFq82pYm6txs7cEoK5v4cTJwzvUYfWBa5y5nUCzYI8yxQowpnM9zExU1PdzoVV1T/Zfjsa9khVfbD7JpnGdSjzWwlRF1j2Jmcw8DZZlSBoJgiAIQkXj0aQLUUe24FKrJdFHthLce7xx39UNc4nYt5b8DMPcbnqt9qHrz0mK4s6Bn7n2y3zjNkmhIi8tAQsH97JfwENSmVli71sTAAsnL6q/MpFj896i1utTUZpaoM0rOgxdm5OJysyyyLbYEzuxcPQoNsyorC6unkpuSixNJ64tjPdvMWnzspH1OlRmlijUZihNLQjoPAxJknCv/yLXXH1IuXEKW+/q3Nm3ltYzis/dJwhC+RKJGkGoALo08KP91E28E5tGZFImLe4mHQ5djWHFvitsHNcJH2cbLkUm027KphLrsDA1ISe/sHF07xw0bvaWfNCjIYPb1nxgLOuPXGfMspKHRXk5WHNwWu9/dE1B7vZIklTivstRyXQL9TcmcQa0CqbVpJ+N++/t1XM7Pp3VB67iXsmyxLoUipLP8TD8XG0xUSooqaawhHTuJGXS6uP1AORrdWgKdDR6fw1Hp79CoLs9V6JTjOWvRKVQ1d2+zDEJgiAIQkXh2bgzeye+RGbMUHISI3Gu0RyAxMuHCftjJc0mrcfSxZv0iMvsnVjyxLlKUwt0mhzj5/x75qAxr+RGSJ8P8O/wZkmHFnHnwAbOLH6vxH0WTp60mV1yG6ZM7mlrWLn5oslKJy8t0Tj8KSPyGt6tXy0a58ENeDXt8VjDuL71W2JP7aLFJ1tQqs2N2609A41zBv0Vj6mtE2orO2w8q5ZUFQBpt8+RkxTNzncaAKDLz0WWZbLiwmj20c+lHicIwpMnEjWCUAH4utjiUcmKcSsO0L6uDyZ3hz1l5xVgolRQycqM7LyCIj1i/i7Ey4GtJ2/Rs3EA12NT2XriNh3r+wLwStMghi3+k+eC3Kle2ZHUrDyOXo+lfV2fYvX0bBxIz8aBZb6mXs8Fsnj3BZpX86BAp2f53isMeqE6ALW9ndh8/BYv1fXB0syElfuuFJnk91x4IjUqOxKfns3YZfsZ8VIdlAoF6Tn5nAlLoHGgO5IES/+4SFp2PnV8DA2lQ1ejGb5kD6dnldztOq9Ai6ZAb/xZQsLURImlqQkv1fNh3q+n+fjlRlyKTGbfpSgmdGuAt5MNp77oa6xjy4lb7DwbwXeDnwegW6g/PWduY0DLYNzsLfl25zl6PVf2708QBEEQKgorVx/MHTw4+/0E3Bq0Q6Ey9BzV5mahUKlQW9mjzcvm2i9fllqHbZUQoo9uw6tpDzKjbxB9dBseoR0BqNKyDye/eQfH4CbYeYegyUol6cox3Bu0K1ZP5WY9jMtkl4Ws16HXFiDrdMh6HTpNHpJShUKpIuXmadSWdli6+pCXGs+lNZ/hVr8tACbmVrjVbcPVjXOo0e9joo9upSA3A8eQwgmD8zOSSTi/v8QluTf2duXFr45j6Vy52D69VoOs1yPLMnqtBp0mD4WJKZIkEb5nDbd2fk+LT7eitiq6AqV7g/ZcWvMZCRcPUsm/Dlc3zTMOD7N298PGK4ibvy7Ev8ObxJ/bQ3Z8BJUC66MytaDtl4VzH978dSH5GclivhpBqABEokYQKoiuDf2Ysv4Ya0e/ZNzWuoYX9fycqT12JU7W5gx5sSY7z4SXePyQtjV5c8Fuqo74kQZ+LnQN9TcOk2oY4MrHvRrxzpI9RCRmYG9pSpeGfiUmah6XAS2DCYvPoOGENZiaKHmlaVX6NjVMdDe8Q20+WHWI5z5cS36BjppVHJk/sHACwHErDnA1OgUrMzX/axXM4DaGbsMFWj1T1x/nRmwqapWSGpUd+Wl0B6zMDePkY1Ozqe3jXGpMXm8tKfKzl4OVManzef9mjPh+D/7v/ICLrQWzBjQnwM3QM+be4WG2lqaoVUpc7Qw9fGpUdmRiz1B6zf6VXI2Wno0DeKN1yOP4CgVBEAShwvBs0plLq6cVWX7apXZrKh36hZ3D6mFq64j/S4OJPflbiccHvPQWx+cN5tdBwVQKrI9nk67IdycodqjagOqvTuLUN8PJTryD2soOj0adS0zUPC539v/MqQXvGj+H/7mKoJ5jCH75PbLjwjn+02fkZySjtrLHvWEHQvq8byxbe9DnnPxmONsGVsPC2YtGo5eiNDE17o86shl7v9pYOhed9yU3JRYze1fMK7mWGNPBab1JumxInOz/pBuAMalzdcMc8lIT2D2qcGWmqt1GEtRtJGZ2ztQf9hWnvxtFfkYSrnXbFBme1nDkAk5+M5LL6z7H0sWb0FGLMbU2vCC7d2iZytwKXX4uZrZFV74UBOHpk2RZfnApQRAeC0mS5MQfhpR3GI/doavRjF12gCPT+5RrHOOW7+flJoE08C+5AVReuszYzOutQugW6l9ku9P/vkOW5bKP3RIEQRCEx0CSJLn72rjyDuOxS7x0iDNLxtN27sEHF36Coo5sJjsugqrdRpRrHA8jO+EOu0c3o+vKiGL7NvZ2Fe0YQXhCxPLcgiCUmSRJRKdk4Td0KZcfw3LZj+qL15pXqCRNYkYufkOXciYs8bHMpSMIgiAIwsOTJAW5SdFs/V8g6XeulFscno27/KuSNDd/XcQf454v0ltIEISnQ/SoEYSn6FntUSM8GtGjRhAEQahIntUeNcKTIXrUCMKTI3rUCIIgCIIgCIIgCIIgVBAiUSMIgiAIgiAIgiAIglBBiESNIAiCIAiCIAiCIAhCBSHmqBGEp8hcrYrLK9C5lHccQsVgZqKMz9VoK87sx4IgCMJ/mlJtHqcvyBPtFOEfUZiYxes0uaIdIwhPgEjUCEIFJUmSLTAMGAnsA6bJsnyufKMS7iVJkg0wFBgFHACmyrJ8tnyjEgRBEISnT7RbKj7RbhGEfw8x9EkQKhhJkipJkvQJcAuoBrSUZbmXaOxUPLIsZ8iyPAPwBQ4D2yVJ2iJJUsNyDk0QBEEQngrRbvn3EO0WQfj3EIkaQaggJElyliRpBnAD8AAaybLcX5blK+UcmvAAsixny7I8B0PD5zdgvSRJv0mS1LScQxMEQRCEJ0K0W/69RLtFECo+kagRhHImSZK7JElzgKuADVBXluVBsizfLOfQhIcky3KeLMvfAP7Az8AySZL2SpL0vCRJUjmHJwiCIAhlJtotzw7RbhGEikskagShnEiSVFmSpG+Ai4AEVJdleagsyxHlHJpQRrIsa2RZXgJUBZYC3wCHJEnqIBo+giAIwr+RaLc8u0S7RRAqHpGoEYSnTJIkP0mSlgBngSygmizLo2RZjinn0ITHTJZlrSzLy4EQ4Evgc+CEJEldJUkS919BEAShwhPtlv8O0W4RhIpDrPokCE+JJElBwAdAB+Bb4EtZlpPLNyrhabrbyOkMfASYANOA9bIs68o1MEEQBEH4G9FuEUS7RRDKj0jUCMITJklSDWAi0ArD24mvZVlOL9+ohPJ0txtxewwNHzvgM2CNLMvacg1MEARB+M8T7Rbh70S7RRCePpGoEYQnRJKkehj+oIUCc4AFsixnlW9UQkVyt+HTGsO/Ey9gOrBclmVNuQYmCIIg/OeIdovwIKLdIghPj0jUCMJjJklSYwx/wGoCXwCLZVnOLd+ohIpOkqRmGN5gVsMwJvx7WZbzyjcqQRAE4Vkn2i3CoxDtFkF4skSiRhAeg7tvGFpgaOj4YXjD8KMsy/nlGpjwryNJUiiGhk9dYBawSJbl7PKNShAEQXiWiHaL8LiIdosgPBkiUSMIZXC3odMWwx8oVwxjdlfKslxQroEJ/3qSJNUBPgSaAvOAb2RZzizfqARBEIR/M9FuEZ4U0W4RhMdLLLMmCP+AJEnmkiQdlCTJ/+5nSZKkTsBR7o7jxrBc5Q+isSM8DrIsn5FluSfwPFADuC1J0iRJkuz/KiNJ0gZJkp4vtyAFQRCECkm0W4SnTbRbBOHxEj1qBOEfkCRpKWAK9Ae6Y3gTBTAV2CjLsr68YhP+GyRJCgTex7BM5nfAXKAWsBKoL8tydDmGJwiCIFQgot0ilDfRbhGEshGJGkF4AEmS3gDGAjPv/j8bmAJsk8UvkPCUSZLkA4wHegFLgQKgGdBKvBUVBEEQRLtFqEhEu0UQHo1I1AjCfUiSVB/4E0gBIjE0dHaLho5Q3iRJ8gTGAf2ADGCnLMtDyjcqQRAEoTyJdotQUYl2iyA8HJGoEYT7kCQpAXAAkoAcQAdogM6yLN8sz9iE/y5JkpYDjQElYILh36g50EyW5YPlGZsgCIJQfkS7RaiIRLtFEB6eSNQIwn1IkmQHWGH4w6KkcALuW+LtlFBeJElyAuwAPYZGuO7uzzHi36UgCMJ/l2i3CBWRaLcIwsMTiZrHzMxEGZev1buUdxzC02WqUsTnFehcyzsO4dlhbmYal5evEfcSwcjMVB2fm5cv7jNCmSjVZnH6gnxxbxGMFCam8TpNnri3CI+VuVoVl1egE/ea/xAzE2V8rkYr7iWPiUjUPGaSJMkx01qUdxjCU+b+4T5kWZbKOw7h2SFJkpxzbkd5hyFUIBa12ov7jFBmkiTJLZfFlHcYQgWyd4C7uLcIj50kSXLCgn7lHYbwFDm/vVLcSx4jxYOLCIIgCIIgCIIgCIIgCE+DSNQIgiAIgiAIgiAIgiBUECJRIwiCIAiCIAiCIAiCUEGoyjsAQbiTkkvLL0/ych0XPu8aCMDRsDQ+/z2c89GZhHrbsvr1mqUef/h2Gi8vPYe5SWHecdWAGoR62z3x2AXhWREZm0DdboONn2VZJicvn4Nr5lM3OMC4PT0zm1pd3qRmVV+2LJj61OMcP3MRW/ccISk1nQBvTz4f+yZN69UA4Pj5K7zz6Xwi4xJRq1S0bVqfuR8Mw8rCHIB8jYYP5nzPzzv3oinQ8kKTeqyc+UGJ57kZEc2gibO4cD2M6gHefD/tPfyreAAQER3P8CnzOX7hKi4O9sx5fyjPN64LwIrNu/l61S+ER8XiYGfLqNd78mavl57CNyMIwpN2c/Vkkk7vpCAzGXNXP/xfmYxdUCMAsqOvc3PVR2TcPovazpnQGQdKrSc3MZJjY0NRmFoYt1V9/QtcmnR/4tcgCP9mUSnZNP10a+EGWSZHo2P3hPbUquLAF9vOMW/HRdQmSmOR8Hl9nnqc83+7xNqjt4hJzcHD3pIJnWvRsU5lAE7cTuSzzWe5GJmK2kRBpzqV+bRnPdQq5d1Lkpm9/QLLDtwgK6+AIHc7doxrB8CP+6/z9a7LpGTnY2tuwuvNAxnZrvo/qvdeWXkF9Pn6T27EpaPXQ83KlZjRpwEBrrbGMoZzXSIpKx9vRys2jWqDvaXpk/7qhHuIRI3wyJKyNDhaqctcz8fbb1HTw6rINnMTJf0bunEnxZ7jEekPrMPXwZwDoxqWORZBeFYVFGgxMSn9lu/l5kzi0U3Gz9v2HmXMjAXUqeZfpNyUb1cQcDdh8SgSktNwdnj0JKqNtSVbv5uGj6crv/x+iN7vfsrVncuwtrTA18udTd9MwcPFkZzcPIZP+YoZC1czddRAACbOW0pmdg7ntizB2sKCizfCSj1P/3HT6damKTuXfM68ZRt4bfwMDv/0FQD/++ALmjeoycavP+Xoucv0GTWFs5sX42hvS76mgK8mvkPd4ECuh0fR4c0JVPOrbEwmCYJQfjQZSahtHB/5eJW5NTXfW4O5UxUST/7Kxflv0Gj2cVTmVkhKFc6NuuHUsDORO797YF2SiSnNF9185FgE4VlUoNNjoix9wIdnJcsiiZed5yL5YN1JalauZNzW9zl/ZvUNLVMciRl5ONmYPfLxSoXE4kHNCHKz49itBPp9u5cQT3t8nKzJzC3gzVZBtKjmRn6BjtcX7uOrXZcY08HwUnrRn1c5cTuR399vj5O1ORciU4z1tg5xp1t9b2wt1MSn59Dzyz+o7mnP89U9HljvvUxNlMx5tRH+LjYA/LD/OsOXHWbn+PYAbD8byapDN1k34nl8nKy5FpuOqUnxhI/wZImhT/9ic/+MoMHMowR+epAui85wPSHbuO9WUg4dvj1N4KcHGb3xGr2XnmPt6TgAdHqZmb+H02DmUWpNP8wn22+h1f2z1b+SswtYeDCS5vNO8N3BqDJfw5/XklFIEk397Itsr+VpTfdaLrjZisytIDwqi1rt+e6nrQS1H0D3dyYBcODkeZr0GY5b0568OHActyNLXv1l7a976N2+JZJUOHn/xRthnLhwlX6dX3ioOJJS05m/fCN1ur7F/OUbHv2CgA+HvIpfZXcUCgXd2zbDzNSUGxHRADja2+LhUvgQplQqCY+JByA5LYOfd+5n7vvDsLexRqVSUvtvSai/XAuLJCwqllEDemJmqmb0/3py604018OjyMzO4di5K4wb2BuVSknTejWoGxzAlj8PAzDo5Q40rFkNlUpJsH8VWjWqzamL18t0zYLwrAjfPJcjoxtwYHAgp6d2ITu68HcjJ+4WpyZ34MDgQK5+P5pzX/Qm9sBaAGS9jrCNMzkyugGHRtTi5ppP0Ou0/+icmsxkIncu5PiE5kTueHAC5X68u43BwsUHSaHAuWEnFCZm5MbdBsDC1Re35n0wd/Ep0zkE4b/G+e2VfL/3GvU+3ETfb/YAcPh6PC98th3/0WvpOmcXYYmZJR674UQ43Rt4F2mrPKqsvAKWH7hB2xnb+WDdiTLVNaxNMMEe9igUEo0DXAhyt+NiZCpgSLZ0qO2FpamKSlamvBzqw5nwZAB0ej1f777M3H6NcLG1QKGQqFXFwVhvZQcrbC0ML8klSUKhkIhIznpgvX9nolQQ6GaLQiEZP99JyjLun7fzAlN71cfX2QZJkghyt8NCLfp3PG3iG/8XC3S2YOfQutiYqfh8dzijN15j2xBD9/tha6/QLtiRzc1r88v5BMZsjKd7bRcAFh6K4uSddHYOrYeJUuKNlRdZdjyGgY1LfksuyzKHbqex8kQse66n0CqwElM6+tH8nuRK0JSDpca5rH8NQr1ti23XaPVM/S2MH/qF8POZ+LJ8FUSl5VHjs8PYmKnoUduZkS2roFSI1eEE4c+jZzixfgEqpZKouET6jf2MNXMmElqrGovW/Ur/cTM4uPrLIo2czOwctu8/xv6V84rUNWbGAmaMeZObdx68tK8sy+w7fo6lG3aw69BJ2j5Xn1njh9C6UR1jGbemPUs9fsP8yTSpW/2+54iIjic1IxM/L3fjtsjYBBq+PJT0zGwszc3Y+PUnAFy6EY6HiyPjZy3il98P4uXmzPTRg2gZWrtYvVdu3SGgiqexB5LaxIQAb0+u3IrAzanS3esrLK+XZa7ciihWj06n4+TF67zS8fn7Xocg/FdYugdSb/JOVBY2hG34nKvfj6bepG0AXF4wDMe67agzcTMJR3/h2tIxODc2DAWK3LmQjJsnqffJThRKEy5++QYxfy7Ds83AEs8jyzJpVw4Rs3clKef3UKlmK/z7TcE+pLmxzIG3g0qNs8aoZdgF3v+NfG5iJNrsNMxdvB/yW7gbo1bD4ZF1kJQqHOu1x7fnBJT3DIUShP+SfVdj2fdRR5QKieiUbAYt3s/SwS1o4OvIj/tv8NaSA+ya0L5IWyUrr4Bd56OMvUD+8svJcLacisCzkiWjO9QwDjkqzenwJFYevMmW0xGE+jkz4sXqvFjT07i/xdRtRKdkl3js530a0qPh/ZOzmbkarsWmUdWt+LMQGIYsVXUz9DSOTs1BL8ssP3iTZfuv42BlxtiXatC1vrex/IbjYYxdfYzsfC1VHK1Kvb576y1Ni6nbuBGbjk6WmdjV0D7T6fVcjEzldFgSgxYfwFytZFDLIN5qXfo9U3gyRKLmX+yl6k7Gn0e0rMyCqZFotHriMzXcTMphWHMvTJQKXq7jypd77hjLrjkZy/yeQThYmgAwuKkXCw5Elpio2Xw+gc93h2GhVtKnnivTOwdgb2FSrNzVj5o+dPzfHYykTVAlqlQyf+hj7+XvZMGud+rj52DOzaQcBq+5jJWpiree83zwwYLwjHtvYG+sLQ2N/59+3UPXNk2NCZC3X+nM9IWriIiOx9vT1XjM5j8O4V/ZnZAAb+O2tdv34ObkQOM6IQ9M1KzfuY/JXy/D0tyMAV1fZN6H71DJ1rpYudiD6x/5ujQFBQz8cCbvDuiBrbWlcbuXmzOxB9eTkJzG0g07cHc29LCJTUzmzOUb9GjbjNt/rGLXoVP0HTON81uX4GhftPGUk5uHjVXRByYbSwuyc/KwtrSgQY2qfL54DROH9uPw6UscOHmBKh4uxWKcNP9H3J0daNOk3iNfpyA8S5waFM7XVKXTCCJ3LECv1ZCfGk9O7E0qvzQMhcoE16YvE7HlS2PZ2P1rqPbmfNTWhjfLnu0HE7l9QYmJmoRjm7m9/nOUpha4Ne9D4GvTMbGyL1au2YKrj3wdeq2Gq4uG49VhCCoLm4c+3sS6EvUm78Cqcgj5KbFcWTyS2z9PJ6DflEeOSRD+zd5tVx0rM8PzxYYTV+lYtwqN/J0BGNiyKrN+Pc+d5GyqOBZOlbDtzB18nK2p5lGYjOhSrwoDmgXiYGXKgWtxDFp8AM9KltS+p1fKXw5cjWPShlNk5xfQt7E/Byd1wtWueLJ038SOZbq2MauO8WJNTwJLSNTsvhDFH5di2POh4d4Yl5ZLYkYe6TkaznzWnYuRKfT+6k+CPeyNx/do6EOPhj5ciU7j17N3sDQt/lz293pLs29iR3I1WtYfD8P97rUnZuSh1cscv5XIkcmdiU3Loce83wl0s6VlNbcyfRfCwxGJmn+xVSdiWXQoiriMfCTJ8IY3PU9LQqYGR0t1kTGerjaFc8lEp+fT54fz/JWUlmVwtSl5iFFcRj5J2QW0r2JLiJtViUmaRxGTns+60/H8NqzsDzDO1mqcrQ3XF+hsychWVVh2LEYkagQB8HQtTOhGxiWwYvNu1u3Ya9ymKdASm5hcJFGz9tc99O7Qyvg5KyeXaQtWsX3J9H90zpiEZBJT0mjcugk1qvqUmKQpC1mWeeujObg42jPx7X4llnF2sKPNc/UY+OFM9q6Yi5mpGktzM0a93hNJkujYshF+ld05fv4qHVoUfXNuYW5GZnZukW0Z2TlYWhjGq/8wfRwjp36N3wv9CPH35qWWocaE0F8WrdvGtj1H+GPZ7MfSJVsQngUxe1cR9dsi8lPj+Kvhos1OR5OegNrGEYWqsI1hal94T8pPjubczD7c23C5d/+98lPjKMhIwrZee6wqh5SYpCkLWZa5uvhd1LbOeHcd+0h1qMwssfY2zBth5uiJ78sfcPmbwSJRI/xnedgXJkiiUnL46cgtNp4onEeuQKsnLj2nSKJmw4nwYr1Z7u1B0irYnW4NvNl5PqrERE1SZh53krJoFuRKiKddmeakKc2UTWeIScvh5xHFe9aeCU/i3ZVHWTa4Bc42hpfW5mrDPDCj29fAzERJfV8nWgW7ceBaXLFETzUPO/68HMPcHReMvWFKq/d+zNUq+j3nT/UJGzg0qRNmd+eiGf5iCFZmJgS42tKjoQ97LseIRM1TJhI1/1KRqXlM3n6LDYNqUcPdisx8HUFTDiHLhsRFUramyIRccZka47FuNqYseiWYEDer0qo3GtzUi971XFl/Jp4Pt94kX6und10XXq7jWmT+GP9PSl/doKQVmM5FZxKdnkfDWUcByC3QgwxhKbmse6PWQ30XfydGPAlCoXtzBO7ODgx6uQNfvDe41PJxSSnsP3mBBZ+MMm67dSeG8Jg4Gvd6B4B8TQH5mgJqdR7EuS1LitUx4rXu9O/ahjVb/2T09AXkaTT079KGVzu9UGQOGadG3UqN45dvp/BcKUOfRk9fQFxiCpsXTEGhKH2qNZ1OT1hkLADBflVKLfd31fwqcyMiCq1Wh0qlRFNQwM2IaKrdrcPH040t300zln9+wBj6d2lr/Lzht/3MXLKW33+YVay3jiD8V+UmRnJrzWRqv78Bqyo10OVmcvDtIGRZRm3rjCYjCb22wJisyU+LMx63xZN3AAAgAElEQVRrau9GyDuLsKoc8sDzeLUbjGuz3sQfWs+NFR+iL8jHtVlvXJ97GdNKhQ8Z+98qeY4qgJpjVmFXteShTzdWfIgmLYGaY1ch3ef+8zAkSUwZKfzXFTZW3OzMGdAsgCkv1y+1dHx6LoevxzOvX6P71qq4z4uSbg28aVvTk82nwpm78yJjVh2jdyNfXmnih69zYU+5Zp9uJbKUoU+z+obSs5ShT9/svsyuC1FsHdMW87/N73IjLp3+C/byZf/G1PctfKHm62yDiVLBP32/o9PLhN8zf09p9T6ILEN2vpb4jFyqutnhYmuOeJwqfyJR8y+VrdGhkMDB0gSNTmb2H+HGfV72Zvg5WrDgQCRvN/Niy4VE7qTkGff3ruvC9F1hzO4WiLO1mqi0fKLS8mjsU/I4RjtzEwY18WRQE09O3clg9clYWs0/wahWVRjc1AuAmx83e6j4WwVU4tDowkbQokORJGcX8HF7PwD0ehmNTkark9HLkFegR6mgxJngD99Oo0olMzzszLidlMOXe+7Qs07xYQiC8F/Xq31Lnn99LJ1bN6FJnRCyc/P4/fApurUp/P1dv3MfjWpXK9ITJ9ivCpe3/2D8vGnXQX7de5QfZowv9Vz2NtYMfbULQ1/twvHzV/hh42/U7zGE99/qy4jXDPNO3LvK1D81dcFKjpy9xK6lX2CqLrrq3I79x/H1ciPQ25O4pFSmfrvCOAdNgLcnwf5V+GrFJoa92oXdh08RFhVLaK1qxc5R1ccLbw9X5i3bwPD+Xfly+UZ8vdwJ9Db00rt6+w5ers4oFBJLN+wgOzePds0aAPD74VOMnv4t2xZNL3E4lCD8V+nys0FSYGLtgKzVEL5ptnGfuZMXFq5+RO5YgFf7t0k4toW8xMIh267NenP75+lUHTgbta0zeUlR5CdHYRfUuMRzmVja4dl2EJ5tB5F+8xSx+1Zz/MNWeHcZhVc7Q6L6UVZcCts0i4wbJ6j9wUYUJkV7IsuyjL4gH1mrAVlGp8lDUihQqIqvjplx6wwqS1vMXXzQpMVze/10HOq0LVZOEP6LutX3ptPsXXSo7UWonzM5Gi17LsfQqW7hC5dfTobTwNcRj0qWRY7deS6SJoEuWJmacOh6PBtPhLF2eOnzxFmaqujbxJ++Tfy5GpPGyoM36fDFb/Rs6MPUXoZE0YFJnR76GtYcvsX3e6+xbWxb7P62pHV0Sja9v/qTiV3r8EL1otNOWJqqeKm2F1/uvMik7nW5FJXKvitxjO9keIm99uhtWgW74WRtxsWoVH7cf52R7UIeWO/fXYhMITO3gPq+jhToZOZsv4C9hdqYoOoV6ss3uy8zf0AT4tJy2XginK8GlHy/FZ4ckaj5lwpysaRvfTdazz+JlamSMc97F9n/da9qjPj5Kl/ti+SlEEcaVLFBfTfJMbRZZXT6O3RZdJaUnAI87cwY1tzrH523XmUb6lW24ZOX/IhMzXvwAaUwM1Hgfk+PHCtTFbkavXG576Ph6fT8/pxxv+/kA/Sq48K8noaJrPw/OWDsqXM+JpN31l0hPU+Lo5WaXnVcxLAnQSiBj6cby2aM58O533M9PAoLMzNaNKhZJFHz0/Y9vNGj6MR8JiYqPF0KEzd2Nlao1SbGiXUfpGHNajSsWY0v3nuLiJiyTRz+2XerMFWb4PdC4ZCnrz4aTp+XWpOYksaYGQtISE7FxtqSds0aMm3UG8Zyy2ZM4M2PZvPpN8vx9XJj1awPcbAzNEqGT/nKWBfA8s8nMGjiLD5buIrqAT4suycptfPAcWZ9vw5NgZZm9Wuw/qvJxuFNs75fR2pmFq1fG20s3+el1sZ6BeG/ysozCLcWfTnxYWuUZlb4dBtTZH+1IV9zddEI7mz7Csf6L2ET0MCY5PDqMBRZr+PM1C4UZKZg5uiJV4dh/+i8tv71sPWvh3/fT8hLiizTNUT8MgfJxJTDIwuHGVR9/QtcmnQnLymKY2MLX0AdeNMX26DG1HnfsNLd8fdbUqXTCFyadCc3IYzb62dQkJGMiZUdjvU64Pvy+2WKTRCeFd5O1ix8oymfbjzDjfh0LNQqnqvqUiRRs+FEGP2bBhQ7duOJcEYsP0KBTk8VRyvmvNqIej6OxcqVJMjdjqm96vNRtzpci00r0zXM3n6e+PRcmnyy1bjt3Rer82776qw+fIvo1GwmrD3BhLWG1aW8KlkaE0Iz+jRk5PLDBIxZh4uNObNeDSXA1dA792xEMp9sPE2ORouzjRmvNw/gtbvfw4Pq7fPVnzTyd+bd9tXR6WUm/nySsMRMTFVK6ng7sHpYa+ML8fc61uS91ceoPn4DdhZqhrcNpnmQGPb0tEmy/M+WZRb+GUmS5JhpLco7jGIazTrGvB5VaVRKrxmhbNw/3Icsy6KXoPDYSJIk55zbUd5hCBWIRa324j4jlJkkSXLLZQ9eua28HR3biKBB87ALuv/QBqHs9g5wF/cW4bGTJElOWFDyPHLCs8n57ZXiXvIYiUGxz6jTkRnEpOej1cksPRJNXoGe2p4PvzKBIAiCIAjCk5Zx6zR5KTHodVqidi9Fr8nD2rd2eYclCIIgCOVCDH16RsWk5zNw1SUy87X4OVqwuG8wZiYiLycIgiAIQsWTlxLDxfkD0eZmYuHqR8jwxSjVj38VFkEQBEH4NxCJmmdUx+pOdKz+z2f7FgRBEARBKC/ODTri3KBjeYchCIIgCBWC6GIhCIIgCIIgCIIgCIJQQYgeNUIRa0/Hsfl8Aqtfr1neoQCw6VwCw9Zd4dve1eha0xmAll+eICqtcMWp3AI9H7XzZcjdpcJXn4xl5u/h5Gh09KjtwtSO/igUhnmtTkdmMGbjNSJS8witYstXLwcZV5oSBOHJWbF5Nz/v3MeWBVPLNY5u70zi9MXr5BcUEOjtxcxxg41LdCenZTDsky85cPI8arUJr3drx8fvvAbA8fNXeOfT+UTGJaJWqWjbtD5zPxiGlYU5AEHtB5CYko7i7upPYqUnQXgyYg+sJeHYZmqNXV2ucVz7YRyplw6QlxhBnY+2Yutfz7jvzq9fE3dgHfmpsZhWcsenx3ic6ncAIDchgsvfDiE3PhwkCduqoQQOmIGpnQsAYRtnknhiGzmxN6k25BtcGnUtct60a8e4uWoSObE3MbFxIGjQPOyrNXlq1y0I/xU/HbnFppPh913e+2kYs+oo+6/GEZGUxfb3XqS+b+GIifm/XWLt0VvEpObgYW/JhM616FinMgB3krOoP/EXLEwLH/dn9Q2lZ0MfALrO2cWpsCSUd1d6auTnzE/DWz/FKxMeRCRqhAorO1/HV/vuEORiWWT73pENjD+n5BRQd8YRXqxmWHrvYkwW03beZt3AWrjZmvLKD+f54VgMAxt7kFegZ9CqS3zYzpcOIY5M/vUWE7bcYEnfkKd6XYIglJ9p7w4k0NsTlUrJr3uP0nvUFML+WIUkSUz9diV6Webm7pUkp2fwwutjaVCjKh1ahOLr5c6mb6bg4eJITm4ew6d8xYyFq5k6aqCx7h2Lp9OwZrVyvDpBEJ4WqyrVcWncjSsL3ym+U1ISPGwhlh5VSb9+nAvzBmDlFYy5izcm1g4ED1uImaMXsq6AsI0zublqEiHDFgJg7uKL/6ufErZxZrFq81NiufLdMILenIddUBM0GYnIet2TvlRBEMpRDa9K9Gjgw9AfDxXbp1RILB7UjCA3O47dSqDft3sJ8bTHx8kaAFOVgvB5fUqte/5rTejWwPtJhS6UkUjUVDB6vcyH226y5UICWp1MgLMFm96sjYlSwdw/I1h9Kpb0XC3VXC2Z2TWQQGdDEqPhzKP8r5EHq07EkpilYVwbH+p6WvPuhmskZmkY2bIyg+/2OOmx5Cyh3rbsvJxMXEY+XWo4M6WjPypl8dXUjoSlMXn7LSJScglxs2J2t6p4O5iTo9ExasM19t9MBaCRjy0/9Kv+WL+LuXsi6FvflR2Xk0ots/VCIjXcrfBxMLzV3nwhgc41nAlxswLg7WZefH84ioGNPTgSloa1mYoetQ1vrUa1rkKjWcfIztdhaap8rLELQkWj1+sZPWMBG37bT4FWS1UfL37/YRYmJiqmL1zNj5t+Iy0jk+oBPnw9aQTV/KoAhp4iQ/p0Yun6nSSkpPLxsNeoXyOIwZNmE5+Uyvg3X2HEa90BeHHgOJ6rW52tfx4hJiGJnu1aMHv826hUxX+/Dpw8z/hZiwmLiqVmVV8WTH4XXy93cnLzeGvSHP48cgaApvVrsG7epMf2PQT7G65LlmVMTFQkJKeSk5uPpYUZd2Lj6fL8c5ibmeJp5kTTujW4FhZJhxahONrbFqlHqVQSHhP/2OIShH8LWa/nxsoPSTi2BVmnxcI9gDofbEKhMiF881xi961Gm52OpVc1qv5vJpYegQAcGdMQj+f/R+zeVWgyEvHpMQ4b37pcXfIumvREqnQeiVe7wQCcmd4Du6qhJJ3aSX5qHM6hXfDvNwWFsnizNe3qEW6unkxuYgRWlUMIemM25i7e6PJzuLp4FKmX9gNgG9SIGiN/eGzfg0drQ287FMXvb5U7vG382S6oEZYeVcm6cwlzF29U5laozA1tFBkJhdKEvMRIY3nX53oAELF1frF6o3Ytxr1Vf+yDmwIYe+EIwrNIr5d5f+0JNp+KoECnJ9DVli1j22KiVDB7+3lWHbpFWo6GYA87Zr8aSlU3OwDqfbiJN1pWZcXBGyRm5PF+51rU9XFkxLIjJGTkMqp9dd5+IRgw9CppFODCjrORxKbl0LW+N5/1qo9KWXx2kMPX45m0/hThSZlU97Rnbv/G+DhZk6PRMmLZYfZdiQOgcaAzy4e0fGzfw+vNDfdQpVT8OW1Ym2Djz40DXAhyt+NiZKoxUSP8u4lETQWz72YqZ6MyOTY2FHMTJWejMo1d6QOdLdg5tC42Zio+3x3O6I3X2DakrvHYvTdS2D60LmFJuXRdfIa2QY5sHlyb6LR8On13hp51XHGwNAEMQ4p++l9NrEyV9F56nhUnYvhfI48isUSn5fHWmsss6RtC/co2LDsWw5CfLrNjaF3Wn4knX6vnzITGKCQ4F51Z4vUcC09nwIoLpV7v1Y+alrj9ZmIOe2+ksHNovfsmajaei6dbrcKGyvWEHFoF2Bs/V3Ox5HpCzt192UV657jamGJlquJ2cg413MUNTXi2/X7kNCcvXuPy9h+wMDPl1KXrxiGB1fwqc3D1l9hZW/HJ18sY8vFc9q2cV3js4dMcWP0lN+9E88LrY3mpZSP+WDabyNhEWvYfRd9OzxsTGWu372Hbws+wsjCn45APWbJ+O0P6dCoSS1RcIv3GfsaaORMJrVWNRet+pf+4GRxc/SWrtv5BvqaA23+sQqGQOH3pRonXc/j0RXqMmFzq9cYeXF/qvu7vfMyfR0+jKdAyuHcnLC0MK8sM7NmBFZt306Ntc5LT0jly9hJDX+1iPC4yNoGGLw8lPTMbS3MzNn79SZF6e707BWSZ0FrVmDluMJXdxUOU8OxJubiPzNtnaTTrGEpTczJun0VSGB5qLN0DqTd5JyoLG8I2fM7V70dTb9I247GpF/dSb/J2cuLDODOtK46121Jn4mbyk6M5/WknXJ7ridraAYD4w5uoNe4nlGZWnJvZm9g9K/B44X9FYslLjubS128RMmIJtv71if5jGZe+HUK9yTuIO7QevTafxl+eQVIoyAw7V+L1pF0/xoW5A0q93mYLrpbp+9LmZpIdcx2Luwmrvxx4OwhdbhaSQknQm/NKObqojLBz2FUN5dj4pujysnGo0xb/Vz5GaWpRphgFoSLaeyWWMxFJnJzaFXO1kjPhydxtthDoaseuCe2xtVAzfctZ3l1+lB3j2xmP3XM5hl0T2nM7IZNOs37jxZqebBvblqjUHDp8sZNejXxxsDL87d9wPIyfRzyPlZkJL8//g2UHbjCwZdUisUSnZDNo8X6WDm5BA19Hftx/g7eWHGDXhPasO3objVbPhc97oJDgbERKiddz9GYC/b7dU+r13pzTu0zfV2auhmuxaVR1K3yxpNHpqTFhAyZKBR1qefFB19pYqAsf/z9Yd4IP1p0gxNOeT3rUI8TTvqSqhXIiEjUVjEopkZWv5XZSLjXcrahX2ca476V7VnEa0bIyC6ZGotHqUasMDaSBjT2wMVNRy9MaRys1Has7YWdugp25Ce52ptxMzMbB0pBt7lPXlSqVDL1QhjT14qdTscUSNRvPJdAxxIlQb8Mv/BuNPZjzZwSRqXmolBKpuQVEpuUR4GRBgypF3zb/JdTbttRkzP18tO0mE9v5ltjL5y+RqXmcjcrk+3uGLuVqdFibFf6ztjJVkq0xdAvO0eix+lvPGWszJTka0W1YePaZqJRkZedyIyKaOtX8iwzR6fpC4e/oe4P6MHfZBjQFBahNDIndt1/pjK21JfVCAnF2sKd7m2bY21hjb2ONl6sT18IijYma17q2xcfTDYCR/buz/JddxRI1P/26h65tmtKkbnVj/dMXriIiOh4TlYqUtAwiYuKp6uNFo9rBlKRJ3er3Tcbcz8avP0FTUMD2fcfIzi2c76pGoA9Jqem4Nu2BTqfn3QE9qBscYNzv5eZM7MH1JCSnsXTDDtydHY37fpw+ntrV/NEUFPDpNyvo9e6nHFn7NVIJb8AE4d9MoVShzcsiN+42Vt41iszN4tTgJePPVTqNIHLHAvRaDQqVYS44jzYDUVnYYONTC7WNI04NO2JiaYeJpR2mDu7kxNxEXdWQqHFr3gdzZ0MPOK92Q4jb/1OxRE38kY04NeiIXWAoAJ5t3iBi8xzykiJRKFUUZKWSlxSJpXsAtgENKIldYGiZkzH3c+2H93Cs3RZL94Ai25stuIo2N5PYvaswd/b+R3VpUuNJOLaFmmPXoLKw5tLXbxGxdT6+PSc8gcgFoXyplBJZeVpuxWdQs3KlInOzdKpb2fjzu+2q883udWi0OtR3e/C+2SoIG3M1tas44GRjTue6VbCzNMXO0hQPewtuxGbgEGBI1PRt4of33R4ob79QjTWHbxVL1Gw4EUbHulVo5G+YL3Ngy6rM+vU8d5KzMVEqSMnOJzI5iwBXWxr6lbzqbiN/5zInY+5nzKpjvFjTk8C7iZpKlqbsntCeEE97YlJzGL7sMNN+OcO0XoZ74aTudQl0tUWpkFiy9xp9v9nDoY87YWVm8sRiFB6OSNRUMM387Hm1gRsj118lLVfLqw3cGPu8NwCrTsSy6FAUcRn5SBLIMqTnaXG6Oxmug2XhpLhmKoWx98xfn3M0euNndztT488edqbEZ2qKxRKTls/a03FsOl/YvV+jk4nL1NCztguRqXm8ttzQW2bwc568/rdEz6PacSkJU5WClgGV7ltu07l4mvnZF5kM2FytJCu/MPGSla/DUm24aVuoFWT9LSmTmafDQi2GPQnPvlahdfhf93a8NXE2KRmZvNGjPRPf7gfA0g07+HrlJmISkpEkCVmWSc3IwsXB8GbFqVJhItbcVF1kGJCZmWmRZIena2EDxcvNibik4m+WIuMSWLF5N+t27DVu0xRoiU1Mpm+n1oTHxNH9HcNwpxGv9WBw78e/ZK/axISuLzSlYc+3qRcSSJBvZfqPm24YuvXdNDKychgwfgbfrPqFYa8WnczT2cGONs/VY+CHM9m7Yi6AMaFkZqrm87Fv4vpcT8Kj44xJK0F4VtiHNMO9xatcWTwSbXYabi1fxafbWABi9q4i6rdF5KfG8VdDRZudjtrWcF8wudtbBkChNiv2WZefY/xsWsnd+LOZgwf56cWHGuYnxxB3YC3xRzcZt8laDZrUOFye60luYiQX5hiGKHm1H4zH868/lu/gn7q1bhr5KbHUGvdTiftV5ta4NH2ZkxNfoPG80w9M7CrUZrg07oa5k2Eou1e7wYRtnCkSNcIzqXmQG/2a+jN82WFSczT0b+rPuI61AFhx8AYL/7hKbFqO8ZkoLUeDs43hJbSDVeFzjpmJEgfrez6rVeRotMbP7vaFve097S2JT88tFktUSg4/HbnFxhNhxm0FWj1x6Tm8HOrDnaQs+n5j6C3z9gvVeKNF1WJ1PElTNp0hJi2Hn0cUTnxsZWZCzcqGe6yXgxUTu9bhzSUHjImaut6FL5uGtw1hzeFbnAlPplmQ61ONXSidSNRUQEOaejGkqRdhybn0/P4cDarY4OtgweTtt9gwqBY13K3IzNcRNOUQsvxo54hNzzf+HJOej7N18ZWPXG3U9G/oxicv+ZdYx/g2Poxv48P56Ey6LzlLM397/ByLdr89Fp7Gq8tKH/p08+NmxbYdCU/j0O00QqYZJs3KzNNxISaLGwk5vPeCt7HcpnMJDG9Rucixgc4WXI3PNn6+Gp9NoLPF3X2WrDkVZ9wXn5FPVr4WXwfRZVj4bxg5oAcjB/Tg1p0Y2g0aT+PawfhX9mDCrMX8tvQLagf5kZGVg1vTnsiPeHOJji8cqhgVl4SLY/FutO7ODgx6uQNfvDe4xDomvzOAye8M4PTlG7z4xjhah9YmwNuzSJlDpy/SdehHpcaReM+D2/0UaHWER8cR5FuZi9fDWPrZe5iZqjEzVdOrQ0u2/Hm4WKIGQKfTExYZW2KdkiSJnjTCM82r/RC82g8hJz6MczN6YhvQAHMXX26tmUzt9zdgVaUGutxMDr4d9Mj3kvzUwt+vvOQY1LbOxcqY2rvi3qo//q9+UmwfgG/P8fj2HE9m2HnOTO+OfUgzLFz9ipRJu3aM87NfLTWO5otuPlL8d7YvIPnMbupM/AWl2rz0gno9mrR49JrcBw5hsvQINCTABOE/YugLwQx9IZjbCZl0n7ebhn7O+DpbM2n9KTaPbkMNr0pk5hXgP3rdoz8TpRYmiKNTs3G2MStWxs3OnAHNApjycv0S63i/S23e71KbcxHJdJm7mxZBbvi52BQpc/RGAn2++bPUOO436e/9fLP7MrsuRLF1TFvM1aU/2v813L3U/eLeUuGIRE0Fcy4qE0mCEDcrrE2VqBQSSkkiW6NDIYGDpQkanczsP8LLdJ6fTsXRrZYLFmoFCw9G0bte8exp11rOdF10lvbBjjSsYktOgY69N1LpWN2Jw7fTcLIywd/JAhszFUpJKnGSq1BvuxKTMfcz9nlv41LbAIPXXKJHbRe61y6c7+FiTBaRaXm0C3YscmyXGs70/uEc/Ru64WpjyncHo+hZx3BcYx870nO1bDwXT/tgR+buieCFIAcxkbDwn3Dq0nUkSaJWVV+sLS1QKZUoFQqycnJRKCSc7G3RFBQw7buVZTrP8l920bt9KyzMTZm/YiOvdWlTrEyv9i15/vWxdG7dhCZ1QsjOzeP3w6fo1qYZ+0+cx9nBjqo+XthZW6JUKoxLR97rubrV/3Ey5i93YuK5cD2M1o3qoFBILN2wk9jEZOoGG+aOqBsSwI+bdvHR2/3IzMll/c59xqFPO/Yfx9fLjUBvT+KSUpn67QpahtYGDHPXxCQkUzc4AE2BlinfrsDbwwVvD/FWSnj2ZISdQ0LCqkoIKnNrJIUKSaFEl58NkgITawdkrYbwTbPLdJ7Y/T/h3KgbSlMLon5biGuz4kMGnBt1Ncx1U689toEN0eXnkHJxL84NOpJ65TBqWycs3PxRWdggKZRIUvG/93ZVQx8pGaPXapD1epBlZG0BOk0eChNTJEkidv9PRP++lDoTN2Nyd8j5X9KuHkVpaoFVlRC0uZnc+mkKNn71jEkavbbAsJKTXo+s0xrqVamRFApcnnuZm6sn4dyoKypza6J+W4xDTbGcrvBsOhuRjARU97LH2syk8JkoT4tCknCwMkOj1TNz2/kynWf1kZt0b+iNhVrFd39c4ZXGfsXKdKvvTafZu+hQ24tQP2dyNFr2XI6hU90qHLoeh5O1OQGuNthYqFFKUolJkUYBzo+UjNFodehlkIECnZ68Ah2mKgWSJLHm8C2+33uNbWPbYmdpWuS40+FJ2Fmo8XGyJj49l2m/nOXFmoaXXuk5Gs5EJNPY3xlJgqX7rpOWk08db4cSIhDKi0jUVDAZ+Vombbv5f/buOyqKqw3g8G+WpfcuXUQFsaCCEHvvvcUWSyyxm0SjxhJj7NHEmmhMTIxRY+/GGjv2ChoLKh2pIiK9zffH+i0SMEYFF819zvEcdu6Ud9bhZeadO3eISMrAUEeLnt5lqOemuiPd28eOJksvYaSrxbinj0O9qk7VbOi/9gbRjzPpUNWafr6Fu+e7WOizvEclZh0M5l58GgbaWtQpZ0a7KtbEPMlk/M4gYp9kYqavzYTmrpS1/Ic7Ri/BRE+JyTPjzOgoFZgZaBeYtj0glpaVrAo9tlTF3ojJLcrRe/V10rNz6VLdlgF+qu7TetoKVvWuzLgdd/hsRxC+LqYs6+5RLDELQmmXnJLK+K9XEvYgFkMDffp1aqEuNAzo3AqfrsMwMtBn6vC+r7Wd7q0a0W3MdKJiE+jasgGDu7ctNI+rox1r5k1kyqKfCQqNxEBPj4a1qtG5eX2i4x8ycsYSYuITMTc15suR/SjnZF/Ell7Ngp83MXDyfLQUWlSuUJbty77CxlJ1IbVi+qd8Oud7XBr3QqlU0KJuLSZ+1AuA+MQkxs1bQdzDR5gYG9Kqvi+zPx0IwJPUdEbNWEpIZDQG+rq8V70ymxd/KXrVCO+k3LRk7q6fRkZCBFp6htjV76l+C5Fdw95cnNIELT0jXDuPe63t2L7XiRuL+5OZGI21XwfsG/crNI++jQuew5dzf/Ms0qLvoaVjgFmlOtjUakdWUgxBq8eTmRSLtqEZrl0noG9b9rVielbAgl48vn0WgGtzVW++8/vmPPrWToTtWkRWUhwXPm+gnt+l/Rhc2o8hNzOVoF8nkJH4AC1dA8w8auM58gf1fHdWjyfWfzMAj4POc/vHMXh9vhXzSnWwrNaY1MjeXJ7WEgArnzY4tx9dbPskCKVJcnoWUzdfIjwxFUNdJb1ru6kfy+lTtzWyfPsAACAASURBVDwNZu7FSE+bCe2qvdZ2uviUpe/y4zx4lEZHHxf6N6hYaJ6y1sasHFiPGduvcjf2MQY6Suq629K+pgsxSemMXXee2OR0zA10mNTBq1jfuvT+0iOcuRsHQMeFhwG4NKsTzpZGfLsvkNjH6dT5ao96/k9aVuGT1lUIiXvCnF3XeJiSgZmhLm2rOzG5Yw1AVfCZvfMqd2OT0dFSUNXJgg2jmojxaUoZ6VW7pApFkyRJfjC7oabD+EddV12jr689naoV7kYsvBr7KSeQZVlclQnFRpIkOS1gv6bDeCktB01gcLc2dG/dSNOhvJMMvFqLPCO8NkmS5EZrHmg6jH90dW5X7Bv3xfa9wo8dCsXveH97kVuEYidJkhy34gNNh/GPOi08RP/6Felcq6ymQ3kn2AxfJ3JJMSrcn1wQBEEQBEEQBEEQBEHQCFGoEQRBEARBEARBEARBKCXEGDX/QdsGV9d0CIIgvIMO/jxf0yEIgvAOqDFpm6ZDEAThP2Dn2BaaDkEQnkv0qBEEQRAEQRAEQRAEQSglRKFGEARBEARBEARBEAShlBCPPpVivgvOsaKHJ97OJhqN40xwEt1/CUBfW8GeoTWoVMZI3ZackUP9RReobGfE7wOqFZr//9b3r4pfWdUrcH0XnCMhNRvF0zHBu3rZ8nUn1avwfjv/gOWnIkhMy8ZET0l/P3tGN3T+V3FO2BnEqfuPCEvMYM/QGkV+b0XFu/R4GEtPhKvnycmVKWdlwNExPgBUnn2aJxm5jG9W9l/HIgiljUfr/vz29ef4Vquk0ThOXgyk9ZDPMdDT5djahVSp4Mq3v2xm3e4/iYpNwLGMFdNG9qdTs7oAhERG03fCXILDo5EkqOtdlSVTRmFnbVFgvecDbtGk/zi+Gj2Azwa9D/CP632RUTOWcuz8VUIiYzi+dmGR39vjJ6l4dRxCNfdy7F4xC4C8vDymf/cb63f/SUZmJv06tWDO2MFIkkRKWjodh0/lTkgEeXky1Su5sWjySNxdnQDo8ckMDp2+RH2faur1CUJpd3acL57DV2Ba3lujcTy6dYaAr7uj0NGn5hd7MHLK/53NSUvm/Of1MXKujNdnvwPw+N5lglZPICMxCoWWNhbVmlCh3xyUeoaq9d30597v00mPC8W4bDU8hixB39rphXEk3T5HyLaveRIaiKm7n3p7AHm5OdxcPozke1fISoqh9pJr6Jrlv4EzPT6cO798xpOQAJT6xji3G4VD0wEA3Pl1IrFn8h8Jk3OysKjaiKqf/kbSnfMEftsnPwg5j7zsTOosDUTHxJIbSwby8PoxzDxqF4hHEN4m3lN2sHJQPXzKWWs0jtNBMXRZ/Cf6Okr2jW+Jp4M5e66E8f3hm9yIfETP2m5809uvwDKHrkcyedMlElIyaFHFgcX9amOgo7oMz8zO5avtV9hxKZSsnDwae9qxakgDAMISUhi77hzXwh5ioq/N6JaVGdjQ/YUxxiWn8+nac1wJTSAlI5uIZb0LtAeGP2TihovciXmMjYkeUzrWoH1N1TVOz2VHOXc/Tj1vZnYuAxpUZG6PWlwNTaDz4j9Jz8rhj89aavz/4l0nCjXCv1LOUp9Tn/oWmr7gz1DKWRn86/n/b8tAryILKY0rWtCxmg2m+kpikzPpsTqQymUMaeJu+cIYq9gZ0dnLhlFbbj93nqLiHdPIhTGNXNSfB63/C3fb/Hn+mlKXT7Y+f52CILycCi4OXNv1k/qzlpaCtQsm4enmwpmrf9FtzHSqubtSzskeK3NT1s2fjIuDLdk5Ocz8fi0T5q9k7YJJ6uXz8vIYP38lPlUqFtjOP633Rbw83OjRphEDJy947jwzl6+lgotDgWm/7jjIwVMXOLNpGdpKJV1Hf8nPW/czuHsbdLW1+f7Lj6lY1hGAlZv2MmTqt5xcvxiATYunsXbXYbYcOPHiL1EQhEL0y5TDb96pQtNDti/AwLZcwXlty1Jt3Dp0LezIzUwj6NeJhO1ahFuPqWQ9echf331EpaHLsKjaiIgDK7m1YgQ1p+15YQwKXX3sm/QlPS6cx3cvFGo3c38Pp9bDuTqzfaG2u2unYmDnRrXPfic9JpgrszpgWsEXI2dP3Ad8jfuAr9XzXprWAivv1k/X6UeDH++p2yIPrSL+4h/omKjOnap8/AvRpzYRd37XC+MXBOHF3GxMODO9g/qzmYEuI5tXxv9ODLmyXGDe2MfpjFh9mp+HNMDb1YqhP/szb3cAM7qpitszd1zlSUY2Z6d3wEhPm1sPktTLTt50kfK2Jmwa3YT7ccm0XXAQPzcbKjua/2N8CkmieVUH+tWvwOCfThZqH/XrGbr5leOP5i05dy+O3t8fpU5FGyyN9Ng4uol6vpzcPKpN2k4bL1WRukZZK0IX98R7yo6X/9KElyYefSphi46GMX5HUIFprZdf4fDthwBM2nWXGvPO4jHTnz6/BhL9OLPI9XRddY2dgfnVzW+OhDJxZ/56996Ip9GSi3jOOk3/tTdISMkqgb0p6FZMClcjk3m/hm2xrdPJXA9TfVX9UKGQ0JIkwh9l/Ktl+/nZU9vVDC2p6PZ/E+/j9ByOBj2ks1fx7ZMgFJe5K39n5IwlBabV6z2GfSfOA/Dx7O8o16wPdvW60XHEF0TFJhS5npaDJrBl/3H151kr1jF65jL15x2HT+HdeSgO9bvTbcx04h4mFbGW4vNJ/25UqeCKQqGgnndVPMuXJfBOMADGhgaUdSyDJElISCiVSkKjYgosv2rrPmpX91T3TPk3632RIe+3pb5PNbS0iv4zeeNuCBev3+aDDs0KTD98+jKDurfB1tIcC1NjhvfqwO97jwCgra3Eo5wzCoVqnTraSsL+ti+CoAmhuxZx55fxBaZdnt6ahGuHAQhaM4kzH9fg1HAPAr/pQ2ZidJHruTq3K7Hndqo/h+z4hju/TlR/jru4lwuTGuE/wpPri/qTlVx0jipOKRG3SA6+Spn67xeYrmNsia6FnfqzpNAiIz4CgOR7l9G3dcXSqymSQgunVsNICf+LtJgX5w8TVy9sa3cpsO7/U2gpcWwx+Lm9jzIfRmJdqx0KLSWGDhUxcqxEWsz9QvOlPrhL6oO7WPu0LXI9sWd3YFunywtjFYQ37dt9gYxbf67AtBbz9nHoeiQAEzZcoOrn2yg/dhM9lx0lOimtyPV0WniIHRdD1Z/n7w3gs9/Pqz/vuRJG/Rl7qDhuM32XHyM++d9dS7yq+h5laF/TGUtj3UJt+wMiqFXOmoaV7DDS0+bT1lXYfjEEgMSUTHZcDmVeT1/MDHVRaimo6pTfYzgyMZX2NZ1RailwtzPD08Gc+7HJL4zHyliPAQ0qUsnBrMj2iMRUOnq7oFBI1Kloi7mhLuEJKYXmO3ErGqVCom5FcV2kCaJQU8I6VLNm/80EcnJV1dXwxHRCH6bTsLyqElqrrAknP6nF1c9rY2agzVf7C/9BfpFrkclM33efFT0qETCpNuWt9fl8990i590eEIvHTP8i/zVdeumltjt17z2mtXZDoShcGYlMyqDqnDPUXXiBhUdDyc0rWF0euP4G1eacYeC6G0T+rRCzPSCWCl/54zX3LGnZubStUjzd6v4p3v/beyMedxtDKlgX7iUkCJrWrWUD9hw9Q05OLgChkTEEh0fTrE5NAOrUqMy1nT8S/Od6LEyNmPTtT/+0uiJdunGHid/8xJr5nxN6dAPurk58PPu7IufdtO8YdvW6FfnPt9vwV9rH5JRUbt0Pw6NcwccM7ep1w9y3IwtXb2F0387q6Q+Tklm+fheTh/X5+6r+1Xpf1bh5K5g3boi66PKsZ2+m5eXlcet+WIF2327DMavVgTGzvuPj/l2LJR5BeB02fh1IuLKfvNwcQPUITnpsKBZVGgJgWrEWvvNOUmfJVZRGZtzb+NVLbyM5+Br3f5+O54gV1FkagIF9eYLWfF7kvLFnt3NquEeR/y5OafpS2727birle04DqfDvasbDSNV6PypP3MW9ODQbkN9Y4K64jIxMatSdl9r2y7JvOoD4C3vJy8kiJfwm6XFhmJb3KTRf7JntWHo1Q2lQuGdyWmwIKeF/YV2rXYnGKgivopN3WfZdiyAnNw9QPdoTEpdCo0qqwqafmzVnvmzP9XldMTPU4cutl196G1dDE5i29TIrB9Xjr/ndKF/GlAkbzhc577YLIZQfu6nIfw1n7X31HX1GUPRjPOzzCyaVHMyJS84gKTWTWw8eYW9mwLStl3D/bDNN5/zBqdv5N3A+bFiR3VfCycrJ5a/IR4TGP6GW2+tfFw1q5M72iyHk5OZx8nY0kiThbl+4qLP1Ygida5X9x2snoeSIR59KmJuVAWVMdPAPfkSjChbsvhFPy0qW6ChVJwxdnum5MaK+E/1+u/7S29hwKYYP37NXjx0ztnFZKs06TU6ujPJv3Uu6eNkW2Oar2h4Qi62xLr4upoQ8TC/QVt7agEOjfHCz1OdeQhpDN9zESFfJR3VV3f2/f78SVe2Nyc7NY/6foXy4/i8OjayJJEkFYrwdm8q+v+Ix1NEq0XiftSMgli7VRdVYKJ0qlHXEztqS4xeu0ayON9sOnaRd4/fQ0dYGoEebxup5Px3QnS6jpr30NtbsOMSwnu2pUsEVgElDe2Nfvzs5ObkolQV/F3u0aVxgm8Vh1IyltG34XqGCSrT/VpJTUlm97QCujvl3qqctXc3ovp0xNTZ8pfW+ik37jmFnbUntGpW5F/6gQFvT2jVZuXEP7Rq9h462kh827iEtvWBPyQtbV5CekcmGP47iYGv12vEIwusyKOOGjlkZkm76Y1G1EfEXdmNZsyUKpQ4AtrXze2c4txlB4MJ+L72N6JMbcGj2oXrsGJeOYzk9ohJ5uTkotAqejtrW7lJgm68q9ux2dM1sMa3oS1psSKF2PUtH6q+4TVZyAg+OrUPHvAwAJuW9SYsNJuHKQSyqNSZi/0rk7Ezysp5//lAcTMv78ODIGk4OcQM5j/J9ZhTZMyfu3A7cen5Z5DrizmzHomojtI3++dEIQdAEN1sTbE31OXUnhsae9uy6HEYrL0d0np5fdPV1Vc87qkVl+nx/7KW3sf7MfQY2csfTQfU7MK5NVSqO20xObh7Kv/WS7errWmCbJSEtKwcrYz31Z0NdJVoKidTMHGKS0gkIT6SDtwvX53Xl6F8PGPjjSc7N6IClkR61ylmz+mQQLh9vJE+Wmd3dBzuz17+Z3NjTjtFrzjJ/byBaCokfBtZTj5nzbNz7AyLZM068wlxTRKHmDehQ1Zo91+NpVMGCPdfjmdisrLpt8bEwNl+JISE1G0Dd8+ZlRD3OZOu1WJY9MyCuUiERl5KFvWnhLnivKzUzl4VHwtg8yKvIdhtjHWyMVSd3FW0M+bixC2vOP1AXamq5mAKgp61gehs33Gf6E/4oAxcL/QLr8bA15FhQIouPhTG5ZcFny4sz3v978DiTC2HJfP++ZgdbFYR/0rVlA7YdOvW0UHOKL0flXzDN+3ED63YfJj5R9ahS9tOeNy8jIiaODXuPsODnTeppSi0tYh4m4mhbsoPGfbH4F6JiE9i7ck6R7SZGhvTp0Azf7iO4f3gdV2/d49qt+yybOvq11vsyUtLSmb1iPftWzS2y/cMuLQmLiqFR309RamnRvXUjYhMeFZpPX0+XD7u0wrVpH67uXIm5ifFrxyYIr8PGrwNxF/ZgUbURcef34No1/5Gl0F2LifHfTPbTR5Xkpz1vXkbmwyhiT28lbG/+Y5aSQknW4zj0LF48btTLyslIJXTHQrw+3/zCeXVMrLCo1pjbK8dQc9oedIwtqTxyJcGbZnF71VisvFthYF8RXfPCRZPiIuflEriwL85tR2DfpD+ZidHcWNwfXQt7rJ+ORQPw+O5FclIfY+nVpMj1xJ7bgWuXCSUWpyC8rk7eZdl9OYzGnvbsvhzGpA755+cL911n47n7JDxR3eD4f8+blxGVmMrW88EsOXBDPU2ppSAuOR1783++qVMSDHSUpGRmqz+nZuaQmydjqKtET0cLA10lo5p7IkkSrbycKGdzg8shCTStbE/v748xuoUnAxpU5EFSGn2XH8fe3JA21V88sPnzJKZk0nfFCZb1r02rao4ERSfT+/ujOFoYUt0lf0zQ/dcicDQ3LPAolvBmiULNG9C+qg3tfrjC8HgnIh9lUP/pY09nQ5JYdzGaLYO8KGuhx82YVNr9cKXIdRhoa5GelX/R9ewYNGVMdJjUwpXBdRxfGMv2a7FM2BVUZJujmR7HP671wnWEPEwn/FEGzb9TPSqVlSOTlZtHvUUX8C9iAOF/6i0nARLPnyFXlglLfL3nSv9tvDsD46jtaoqtSfEXtwShuHRt0YBGfT/l0wHdCH8QSxO/GgCcuhTIL9v2s/+neZRzsuN6UAgNP/ikyHUY6OuRlpHfyyPuYX4hwd7Giq/GDGBkn04vjGXjH0cLjG3zLGc7Gy7vWPmv92vxmq3sO3GeP9d8g77e838Hc/PyiIlPJC09kzNXbnA7OByXxr0AVRFFS6HgblgkK2eMfan1/lv3wx8Q+iCG2u+PAiAzK5vMrGy8OgwmYPcqtLS0mPnJQGZ+MhCA1dsPULNyhSLXJcsyqWnpxMQnikKNoHHWvu25MqMdaW2Gk5EQiXnl+gAk3T5L9PF1eH2+BX2bsqRG3OTyjKIfq9HSNSjQ6yT7cf4YNLrmZSjXfRKOLQa/MJbYM9u582vRxQY9S0d85x5/4TrSY0PISAjn0hfNAdVbkvKyszg/sR5+X/sXXiAvl/S4UPVHiyoN1Y9+5aQlc258bQwdX/y2lVeVnZJEVlIM9k36o9BSom/thGWNljz662SBQk3s2e1Y12qLQrtwPksOvkZWUhyWNZqXWJyC8Lo6eLvQZv4BRjZ/TERiCg2ePvZ0JiiWtf532fZJc1ytjfgrKonWX+8vch0GukrSs/MLxs+OQWNnZsDkjjX4qInHC2PZeiGkwNg2z3KyMOTUtMKDfr+sinam6jF4AG4/SMLaRA8zQ1087IoeQwbgUWoWMY/TGNCgIkotBc6WRrSq5siJW9GvVagJS3iCib42baurehhXcjDjvQo2+N+JKVCo2XYxhK6+ZV95O8LrE4WaN8DVUh8HUz0m775LS08rtJ92u0vJzEVbS8LcQElqVm6BV0T/naedIX/8lUCX6rbcjUtj740E2lZWdZnvUbMMY7beprarGZXtjHiUls350Me08izcpb5LddvXfrTH3daAc5/lv3Zu7414Dt1KUPdEOROchIuFHg5megQnpLHkWDjdng7gG5mUQUxyJl4OxmTnyiz4MxRncz2czVVdArdcjaFRBQusDLX5KzqVNecfMOaZV2LbTznB+c/8cDLX4++ycvLIk0EGsnPzyMjOQ1cpvTDe/9t+LZYhdV9c7BIETXJztsexjDWfzP6Odo1ro62tSuNPUtPRVmphYWZMSlo6C1Zteu46qlYsx44//enZtjG3gyPY+ac/HZvWA6Bfx+YMmrKA+j7VqOZejsTHTzh95QbtG9cutJ6ebZvQs23Rd3Vfxm87D7Fiwx6OrPmmUMHC//J1DPT18HIvR3JqGlMW/oxvNQ8MDfQY0KUVnZrXU8/7+Tc/Uc7Jnk+ejvvyT+sFMPBqza19v+LiUDgnZmVnk5cnI8uQlZ1DRmYWujraeLq5cHPfavV8Ow7588fxc6yep+p98DApmZTUdJztbbhy8y7zf9rI+m+nABBw+z7JKan4eVUiOzuXeT/+jrmpMeWdHQptXxDeNANbV/QsHQj6bTJW3i1RKFWPVOZkpCBpaaNtZE5uRiphe5Y+dx1GTp7EX/wD29pdSH1wl/hLe7F6OuBtmfo9uLVyDGYetTFyrkx2yiMeB53HqmarQuuxrdPltQfDNXRwx++b/EFL4y/s5eHVQ1Qa/j0AD6/9iZ6NCwZ25cl6HEfI9gWYe+bnkydhNzB09CA3/Ql3107Btk5XtI1Ud5ZDdnxDRkIklYYsLrRdOS+PvJwsVa+jvDxyszKQFFrq7zMvOxP56fg3ck4WuVkZaOnooWNiia6FPdHH12PfuC+ZSTE8vHoQ+6YD1OvOy80h/sIePEf+WOQ+x57djpVPG7R09ItsF4TSoJyNMQ4WBkzceJHWXk7PXBdlo9RSYGGoQ2pmToEeMX9X2cGcPVfC6VrLlaCYx+y9Gk7bGk9fL13bjZG/nqZORVuqOJrzKDWTc/fiaO1VuLjRzdeVbsXw6FNuXh7ZuTK5uTJ5eTIZ2bkoFRJKLQWtvZyYvfMap27HUKOsJYv3X6drLdU23WxNqGRnxg9HbvFREw+O3YwmNOEJPq7WWBjp4mBuyFr/e/SvX4GYx2kcCIzkw4aqN1yeDophzJqzXJ7duciYMrJzycrOVf8sAbraWrjZmpCSkc3BwEhaVHXgXmwy/ndi6e6b//TCw5QMTtyKYW6P57/BVyh5olDzhnSoZs2cgyH8PqCqelrjChbUdDKh1vzzWBlp81FdRw7dKvoNCB/VdWTYxltUmX0Gb2cTOlazVj8mVcvFlC9alePjrbcJf5SBmb6S9lWtiyzUFAdtLUWBR6pM9ZXoKBXqniiBD54wavMtHmfkYGWkw/s1bNWPPaVm5jJh513CEtPR19ailosJqz+orB6f5lrkE2buDyYtOxcbIx36+drzQS1VpT36cSZljHWwffpY1d/1+jWQsyGPAeiyKgBAXdT5p3gBguJSCU5Ip00JfWeCUJy6tWzAF0tWs2v5LPW0FnV92FLNA/eW/bG2MGV03y7sPX62yOVHf9CJfhPm4dSwJ37VPOjWsqH6Man3qnsy+9PBDJn6DaFRMZibGtO1RYMiCzXFZe7K34mJT6RGx4/U08YP7sGEwT1JSUtn9MxlRMbEY6ivR32faqxbMBkAIwN9jAzyL0gM9HQxMTTAwtT4heuNik3AztoSO5uiu/S2HzaFU5dUY4a1GKi6s///os6zj4CZmRiho6ONnbVqPfGJSXQbM53o+ESc7WyY99kQanqqetTk5OYyfv5KgiOi0dXRxrtKRXZ8N0NdbBMETbPx60Dw5jlU++x39TSLqo0xKV+Tc2NroW1shVOrj0i4eqjI5R1bfsTN5cM4PaoKJm7e2Ph1VA9QbFqhFm49v+DWjx+TER+O0sgMG9/2RRZqioNCqV3gkSqloSmStg66ZqrCbFZyAnfXTSXrcTxKAxMsvZpSrsdU9fxhu5fw6MZxJC0dbOt0xu39Keq2rEcxmLgW/Th10p1zBMzrpv58akg5bOu9ry7qnP+8PpkJqrvr58apLoIarVGNdVV51E/cW/8FwVvmoKWjj7VfB+wb5Q+U/uj6cRTaupi5v1dou3JeLvHnd+Px0ZJCbYJQ2nT0LsusnVcLvAq6iac93q5W1JiyAytjPYY1rcSBgIgilx/atBIfrTqFx/gt+JSzppNPWbKfPibl62bNl11qMurX04Q/TMXcQIcO3i5FFmqKy5bzIYz5Lf+ca93pe3zWtioT2nlha6rPdwPq8Om6syQ8yaB5VUc+f+Zxrx8G1WP0mjN8vScAF2tjfh7SAAsj1TXKz0PqM2XLJWbtvIq+jhadvMvSt155AKKT0qle1pLncR6zocDPThaGXJ7dGRN9HX4cXJ+ZO64y7Bd/zAx0GNTQnSaV8/PlzkthVHexxMXKqNi+I+HlSbL88mOiCM8nSZL8YHZDTYdRrM4EJzFxVxCninis6U3afT2OsMQMRjcsnre2vIxPtt7Gzdrgudu2n3ICWZbFkOhCsZEkSU4LKLrL79vs5MVAxsxaxrVdL/9GquK07eBJgiOjGT+oh0bj+Lu1uw6z5cAJdq+YVajNwKu1yDPCa5MkSf5/YeBd8ujWGYLWTMRv3qkS39aVWR3xGr8BLd235w2R0ac2EXd+F17PFOH+73h/e5FbhGInSZIct+IDTYdR7E4HxTD+9wucmd5Bo3FM2HCB7n6u1CpXsuMHFsV7yg5WDqqHz9+2bTN8ncglxUi8nlt4IYWkGrDYY6Y/t2JSNBZHh6o2GinSeM09w54b8SjFq+kE4bUpFBIRMfHY1evGjbuF38LypnRt2aDUFWl6j5vFuHkr0BE9bAThpUmSgsyHUZwa7kFKxK0S3VbNqbveqiLNjWVDuLduKgotbU2HIghvPYUkEZWYSvmxm7gZVfhlAW/K/F6+b7xIcy3sIeXHbiL+SYZ4ZfcbIHrUFLN3sUeN8GKiR41Q3N7VHjXCqxM9aoTi8K72qBFenehRI5SEd7VHjfB8okdN8RI9agRBEARBEARBEARBEEoJUagRBEEQBEEQBEEQBEEoJUShRhAEQRAEQRAEQRAEoZQQY9QUMz1trZjMnDxbTcchvFm6SkVsRnZuGU3HIbw79PV0YzIys0QuEdT0dHVi0zMyRZ4RXouWjl5MXnamyC2CmkJbNzY3K0PkFqFY6esoYzKyc0Wu+Q/R09aKTc/KEbmkmIhCzTtMkqQewGKgjSzLVzUdz+uSJEkX2AxIQHdZljM1HJIg/CeJ3CIIQkkQuUUQhJIgcovwNhKPPr2jJEnqCywCWrwLCQngaRLqDmQBOyVJ0tdwSILwnyNyiyAIJUHkFkEQSoLILcLbShRq3kGSJA0E5gJNZVm+rul4ipMsy1lAT+ARsEeSJEMNhyQI/xkitwiCUBJEbhEEoSSI3CK8zUSh5h0jSdIwYDrQWJblWxoOp0TIspwD9AUigX2SJBlrOCRBeOeJ3CIIQkkQuUUQhJIgcovwthOFmneIJEljgIlAQ1mW72o6npIky3IuMBAIAg5IkmSq4ZAE4Z0lcosgCCVB5BZBEEqCyC3Cu0AUat4RkiSNB8YAjWRZDtF0PG+CLMt5wFDgGnBYkiRzDYckCO8ckVtEbhGEkiByi8gtglASRG4RueVdIQo17wBJkqYCg1FVjcM0Hc+b9DQxjQL8gSOSJFlpOCRBeGeI3CJyiyCUBJFbRG4RhJIgcovI7HQV3wAAIABJREFULe8SUah5i0kqM4BeqBJSlKZj0gRZ9Y75ccBB4KgkSTYaDkkQ3moit6iI3CIIxUvkFhWRWwSheIncoiJyy7tFqekAhFcjSZKEahTz1qi69sVrOCSNkmVZliRpMqrX1B2XJKmpLMvRmo5LEN42IrcUJHKLIBQPkVsKErlFEIqHyC0Fidzy7hCFmrfQ04S0EGgANJFl+aGGQyoVnlaRv5QkKQs4IUlSE1mWIzUdlyC8LURuKZrILYLwekRuKZrILYLwekRuKZrILe8GUah5y0iSpACWAT5AU1mWkzQcUqkjy/JsSZIyyU9M/6lnVAXhVYjc8mIitwjCyxO55cVEbhGElydyy4uJ3PJ2E4Wat8jThLQSqAQ0l2U5WcMhlVqyLH/zTBW5qSzL9zUdkyCUViK3/HsitwjCvydyy78ncosg/Hsit/x7Ire8vUSh5i0hSZIW8AvgDLSSZTlFwyGVerIsL31aRT4mSVIzWZaDNB2TIJQ2Ire8PJFbBOHFRG55eSK3CMKLidzy8kRueTuJQs1bQJIkJfAbYA20lWU5TcMhvTVkWV4pSVI2qsTUXJblm5qOSRBKC5FbXp3ILYLwfCK3vDqRWwTh+URueXUit7x9RKGmlJMkSQf4HTAA2suynKHhkN46siz/8rTL35+SJLWSZTlQ0zEJgqaJ3PL6RG4RhMJEbnl9IrcIQmEit7w+kVveLqJQU4pJkqQLbAHygM6yLGdqOKS3lizL655WkQ9JktRGluUrmo5JEDRF5JbiI3KLIOQTuaX4iNwiCPlEbik+Ire8PUShppSSJEkf2A6kAL1lWc7WcEhvPVmWNz2tIu+XJKm9LMsXNB2TILxpIrcUP5FbBEHklpIgcosgiNxSEkRueTsoNB2AoCJJkpUkSVOf/mwA7AESgV4iIRUfWZZ3AIOAvZIk1QWQJKmeJEndNBuZIJQMkVveDJFbhP8akVveDJFbhP8akVveDJFbSj9RqCk9egPukiQZAfuASKCfLMs5mg3r3SPL8l6gL7BDkqSGgAR8qdmoBKHEiNzyhojcIvzHiNzyhojcIvzHiNzyhojcUrqJQk3p0QvYBRwEgoCBsiznajakd5csyweBnsBWQA8wkySpimajEoQSIXLLGyRyi/AfInLLGyRyi/AfInLLGyRyS+klybKs6Rj+8yRJcgUuAiHAeeBroJYsy9s1Gtg7TJKkGqhGjddClZhOAndkWZ6i0cAEoRiJ3PLmidwi/BeI3PLmidwi/BeI3PLmidxSeokeNaXDQEAbSAdqAdeAlpIkif+fkuMKrAA2AaeBVsBASZIkjUYlCMVL5JY3T+QW4b9A5JY3T+QW4b9A5JY3T+SWUkr0qCkFJEmKR9XV7DdgB3BCDJb1ZkiSVB7oDHwAVAPqybJ8WrNRCULxELlFc0RuEd5lIrdojsgtwrtM5BbNEbml9BGFmlJAkiQbIEGW5TxNx/JfJklSGSBWFr8UwjtC5JbSQeQW4V0jckvpIHKL8K4RuaV0ELmldBCFGkEQBEEQBEEQBEEQhFJCWVwr0tPWisnMybMtrvUJpYOuUhGbkZ1bpiS3oa+rE5ORlS2OnbeQno52bHpmVrEeH/raWjEZIpf85+gpFbHp/yLX6Onrx2RmZIjjQ1DT1dOLzUhPf+k8pKunH5OVKY6ld42Orl5sZsbLHw9aOnoxedmZ4ngQ1BTaurG5WRmvdY4jro/eXm/iGkic07y7XvXc5FnF1qNGkiQ5ama9YlmXUHo4fOGPLMslOpiUJEny4z+Xl+QmhBJi2mxEsR8fkiTJMd+2K85VCm+BMuP2/qtjSZIk+U5C1psISXhLuFvpvFIekiRJ9g9PL4mQBA2q56z/ysdDvV+iSiIk4S3lP9Dhtc9xJEmSH8xpXFwhCW+Q/eRjb+QaKCo5pyQ3IWiIg4nytY8fMYK2IAiCIAiCIAiCIAhCKSEKNYIgCIIgCIIgCIIgCKWEKNQIgiAIgiAIgiAIgiCUEv/ZQs2mK7H0WXND02Go7QyMx+ELf3YFxhdqC3+UgdtXZ5i4+16htpxcmSbLrtBgyeUC0w/fSaT2wotUmHmG4Ztuk56VW2Kx/9esP3iWLp9/p9EY4h89of+MVZTvNhHnTuN4f8pyImITC8yzx/8atQZ+hV27T/AeMJ07YdHqtt/2n8a9xyScOozls2WbyMsTb0EsLhsvRNDrx/OaDoPxWwLxm3OUMuP2cjnsUYG2NWfC8J19lPKTD+A980+WHsnPLeGJaZQZt5dyk/ar/227HKlun3/gDvXnH8fus73svCrGc3gd2zf8xqD3NTse08P4OD4e1Is6lRyp5WbD0F6deBAZXmi+J8mPqevpVCBeWZZZ8NUk6no64Vvelo8H9eJJ8uNCy65c/DXuVjpcu6T534t3yb4taxnbt4OmwyArM5PF08bSrroTLSvb8sXwPuq2D5rWpLmHlfpffRcDNvy4GIArZ09S38WgQHvAeX9N7cZbL9Z/EzcW9nnxjCXs3poJXJpYB/+BDiTfL3humnBpL9dmtuP0R67c+21ioWUzE6O4uXQAZ0e4c/7jakQe+KHQPPHnduI/0IH487vU06KP/srVL5vjP9iZiD80e372Lth0OZreqwM0HQb+9x/RbOkFyk8/SZcfrxDxKH9MsUaLz1N++kn1P4cpx/jhlOpv1+XwxzRdegGPGaeoOtufj7fcIjVTjANTEjatX0Ofzm00GkNCfBxD+/fEy80eT2cr+nXvQFRE/nlM4sOHDO7TjcrO1tSo4Mj8mdPUbYf376V907p4OFrg7eHCt3O+0sQuPNd/tlBTmqRm5rLsRAQeNgZFtk/fF0w1B6Mi2345/wAz/YIv74p7ksWYrXf4umMFrk3wIzUrl/lHwoo9bkFzUjMyqV3VjfM/f8G9LV/j5mDDiG/WqtuvBoUz7acd/DTpQx7sWcS2uaOwMjMGIPBeBNN+3MnWOSMJWDuDCzeD+WnXCU3tilBCqjiYsqiHF/ameoXaGntYc3hsfe7NacW+j+ux9XIkR27Fqdt1lQqC57ZW/+vq7ahuK2dtyKyOlanhZPZG9kMoWWlpqXj71WWv/zVO34rEpVx5Jo0eUmi+JfO+omy5CgWmHdyznQO7t7P9yDlOBIaQmZHB8m/mFJgn5kEk+3ZuwdrWrkT3Q9CcFXOnkJryhN+PB/JHQBR9R45Xt607coXDtxM4fDuBrWfvoNTWpn6L9up2p3IV1O2Hbyfg5SdeSvG2M3SuQoWB36JjXvh3XmlohmPr4ZSp36tQmyzL3Fw6EPMqjfBbEoDP12exqNqkwDy5GalE/LEMAwePAtN1zMrg0nkCltVbFO/OCBrzMDWLj36/waSWbtyZVp9mHlaM2HhT3X78Ez/uTW/AvekNuDChNtoKiZaeVgCUtdRnXX8vbk+rz/nxtcmTZRYdE9dB76q01FR836vLsQuBXLv3AFe38nw6YpC6/ds5X5GXl8elO+H8cfwc2zat5/D+vQCkpqQw4YsZBNyPZvfhU+zevoWtG9ZpalcK0VihJi9PZvKe+1SZew6PWWdptzKA7FzVXf1Fx8Lx/eYi7rPO0umnQILi0tTL+X17kR/8I6m3+BIes87yy7kHXI18QqOll6k85xwrT+ff4e32cyALjoTRdNkVKs85x6Q998jJLfotV2dDHtNqxVUqzT5Lt58DCU1UVW3Ts3IZuvE2nrPP4jn7LAPX3yxy+dex+Hg4vX3KYG5Q+G3pR4MSUUgS9cqZFmqLe5LFhkuxjKjvWGD6gVsP8XEyoYGbGYa6WnzcyImdRfTUeVvl5eUxbulGXLuMx6nDWJqOmk92jqrH0Px1+6jSeyqOHcbS8uNvuf1ML5KqfaaydPNhavafjlOHsazccYzLt0PxHTgDl86f8d3WI+p5245dxOxf91B78CxcOn/G2CUbyMktuleSf0AQDYbPxbnjONqOXUTwA9V3nZaRRf8Zq3DuNA7nTuPoPa3wnaFXVdbOimGdG2NpaoSOtpLBHRpw5Xaoun3RxoNM6teW6hWckSSJsnZWWJqqin3bjl2mS6OaVHVzxMLUiDHvN2fL0UvFFpum5eXJfL7tOp5fHKTClAO0WeKvzi0LDwfhPesI5ScfoMOy09yJeaJezmfWEZYfu0+duceoMOUAq06FcCX8EfXnH8dj6kF+OBGsnrfz8jN8feAOjRacwGPqQSZuu05ObtG9ks7cf0iLRaeoOOUAnZefITQhFYC0rFyG/HYZ96kHcZ96kAG/XCzW76F/HRfquFmiUBQecN7ZwgBTfW0AFJKElkIiPDGt0HxF6ebtSEN3a3S13/46f15eHl9NGINfRTu8Xa14v2U9srOzAfj+m9k0rl6emmUt6dW2Effu5Of+JjUq8PN3C2np64m3qxVrf/qewCsXaVOnGr7lbVm9fLF63r4dmrFk7nTa16+Bb3lbpo8fTU5O0Xf2Lpw+SZcmfviUs6Zvh2aEh9wHID0tjY8H9aKWmw213GwY0bdrsX0HTi6u9PtoFBaWVujo6NB74FACrxQ8Fu/cvE7g5Qt07tWvwPQHEeH4vFcXWzsH9A0MaNamI/eDbheYZ94XExgz8Ut0dHSKLebSIi8vj2+nfkJbL0daVrblo44NyHl6/Py6ZC5da1ekhacNw7s0ISTolnq5bnXc+X3lIno2rErLyrZsXb2cm9cu8kGTGrSuas/Gn5ao5x31fgtWfTuDfs19aF3Vnm+mfPzc4+fquVMMbFOHVlXKMOr9FkSFqnJWRnoaXwzvQ6sqdrSqYsekwd2L7Tt4/OghR/ZsZeysxZiYmaNUKqlYpXqR8x7du42KVarjWNat2LZfmsh5edxfO5lzY6pwdqQHAbPakZejOh7Cdy/i4nhfzo5wJ3BOJ9KigtTLXRzvR+SBH7g0qR5nR3rw4M9feBJ8lctTGnFudGWiDq5Uzxv4dTfCdizgyhdNOTe6MvfWTkLOLfp4eHznLFe/asXZkZUI/Lob6XGhAORmpnN7+VDOjvLk7ChPbi4bWKzfg13jfpi610ZSaBVqM6tUDyuftiiNLQu1PQo8graROXZNBqDQ1kNLzxADh4oF5gnfs5gyDXqjNDIvMN2yZissqjdHS7/om5pvm7w8mUm7gqg8yx/3r07SbsXl/Guko6HUmn+Gil+dpOPKKwTFpqqX851/lhWnwqn37TncvzrJz2ciuRqRTMNF5/GceYqV/vm9DLr+dJX5h4NpsuQCnjNPMWnXneeex5wNfkTL7y7iMeMUXX+6SuhD1TVSWlYuQ3+/QaUZp6g04xQfrr1ebN/B5fBkXC31aepuiZZCYlg9J/6KTiE4ofC5yp7AOKraG+NqqbrhbWmog52prrpdSyERkfhuvuEvLy+PyWNHU6WsLR6OFrRrUkd9HrPo61n4Vi6Hu4M5nVo0IOh2/nmMXxU3flj6LfVqVMLD0YJffviOq5cu0KhWVSo7W7Pyu0Xqebu1acKCWV/S9L3qVHa2ZtKno577d+is/wlaNfClkpMl3do0ITQ4/zxmaP+eeDpb4elsxcBeXYrtO3Au68qg4aPV5zH9Bw/n2uX885jIiDBatu2Avr4+9g6O+NWpz72n5yqduvekfqOm6Orq4uDkTOsOnQosq2mFKwNvyIn7SVyLesK5sT7oa2txLeoJCkl1QVHRxoD9w6tjoqfF/D/DGLvjLnuHeqmXPX4viX3DqhPyMJ3OqwJp7m7JziFeRCVl0OHHQLpXt8HCUHURsiMgng0DqmCkq0XPX2+w7lI0A/zsC8QS9TiToZtus6qXB95OJvx2IZrhm+6wb5gXW67FkZWbx5UJfigkCHiQUuT+XAh7TP91zy/i3JpSu8jp9+LTOH4vif3DqrP/ZkKBtqycPGYfDOWXPp5svRZbaNlZB0MY09ARA52CF0x349Nwt83vnVPJ1pC4lGyS0nMK9b55Gx29dIvLt0MJXDcTA10drtwJUx877s52HF8+EVMjA2au3s3IBWs58t0E9bJHLt3i2PcTuR8VR6tPvqV17WocXPIZkXGJNBu9gF7N/dQFjc1HLrLz6zEYG+jSaeIyVu/1Z0jHhgViiYxLpP/MVaz78iN8Pcvx856TfDjrZ45/P5ENh8+RlZ1D0OZ5KCSJq0FFV/PPXr9Hj6krnru/4bu+feF3cv5mMB4u+Xevrt4Jw6u8E1X7TEWW4f1mtZg6oD0KhYI74dE09fFUz1vZ1b7AY1Fvu+NB8VyNSOLClKbo62hxLSIpP7fYGnPwk3qY6mszb/8dPt0UwL6P8+/gHr8Tz4FP6hGckErH787QorIte0bVISopg7ZL/Onu7YilkeqCc/uVKDYP9cNQV0mPlef57Ww4A+uVLRBL1KN0hvx2mV/6++BT1pxfz4Ty0dorHPykHlsuRZKVk0fAl81QSBIBEUlF7s/54ET6/nzhufsbNLvVK31P269EMX5rIKmZubhYGtCuWv7xk5Wbh9dXh1FqKWhTpQyT2nhgoFP4pPtt53/sMIFXLnLkchD6BgZcv3oJhUKVT8u7V2Lbn2cxNjVj8ZxpTB7zEZsP+hdYduufZwm9f4/e7RrRpFU7Nuw7QXRkOO+3qk/HHh9gYam6u7dn20ZWb92HoZExH3ZrzaY1P9Fn0PACsURHRfDxoF4s+3UzNWq9x4bVK/lkcB+2/XmWnZvWkZWZif9f4UgKBTeuFXyc4P8unTvNsN6dnru/l4JfXLC/evEsFTw8C0yb9fmnTJwxn7Dggo/ftuzQhQO7t/EgMhxTMwsO791JvSbN1e3nTh0n+XESTVu3Z/bksS/c9tvmwsk/uXXtIltO30JX34BbAZeQnh4/ZSt4sGrvaYxNzPhxwXTmjh/Kj7tO5i974k9W7fEnMuQeI7o1pW6ztizffpTYBxEM7diQVl37YGahOn4O7djIovV/YGBkxKd92rFr/Sq69h9WIJbYBxF8MbwPs1duoIr3e+xc+yPTRvZl1V5/DmxdT3ZWFrsuhaBQKLgdWPTxE3DhNBMHPr8IeOBGTKFp92//hXUZB5bNmMjxfTso4+jMyClz8a7bqNC8h3ZspEWnngWmxUSG0a6GM0bGJrTs0pt+oyeipfV25pqkv07wJOQaPl+fQ0tXnych19THg4F9Rap/sR8tAxPCdszn7uqxeE3dm7/sjeNU/2If6bEhBM7tjGX15nhN3knGwygCZ3fApk53tI0tAIg/t4Mq4zagpWfEjW97En18HfZNBxSIJTMxitvLh+IxchUm5b2JPvYbd1YMx2vaPuLObCEvJwu/RVdAUpASWvQjLo+DLnBzSf/n7m/t7289t+1VPAkJQMe8DIFfdyMt6g7GZb1w6zcXPSsnANKi76m+p2n7Sbiyv1i3XdqcuJfItchkzo9/T3WNFJlc4BrpwAgfTPSVfH04hLHbb7N3uLd62eN3E9k30oeQhDQ6/XiVFh6W7BpWk6ikTNqvuEy3GmWwNFSdx+wIiGXjwOoY6WjRY3UAay884MPaBW/+RiVl8NGGv1jVpwo+zqasOR/FsI1/sX+EN1uvxpCZK3N1Uh3VeUzUE4pyPjSJ/r89v4hze1r9IqfLf/tZBu7EpVLOquATCNsDYulc3bbAtMikDJotvUhyRg4GOlqs7Vf1udt/m504cohrly9y7vo99A0MuHb5ovo8pqKHJ/tPnMfE1Iz5M79g7IjB7D16Rr3s8SOH2Hf8HCH379K5ZUOat2nPzkMniYoMp0PTunTv1Vd9HrNj8wY27DqAkbExPTu2Yt0vPzLgoxEFYomKjGBov56sWr8Fb9/a/LbqB4Z/2Jt9x8+xZcNasjIzuRIUiUKhIOBq0TeIL5z1p//7HZ+7v7ciHr7wO7l0/iwVnzmP+eDDIWxev4b2nbuT+DCBS+fOMHj46Ocu26HL+y/cxpuisat2pUIiJTOX4IQMqtob4u1kom5rW9lK/fPohk6sOH2OrJw8dJSqA2/ge3aY6CnxcjDGylCHdlWsMNNXYqZvhL2pLnfj0/AzVPVA6VHTFhcLVdf/oXUd2HgltlChZkdAHG0rW+Lrolrmw/fsWXgsnIikTLS1JB6l5RCZlEF5awNqOZtQFF8X0+cWY/7JtH3BTG1ZFqVW4bveP5yOopmHhTr+Z10MTyb8USadvWw4E1LwAi8tKw/Lp4UqAAMdLbQUkJqV+04UapRKLVLSM7kXGUf1Ck7U8nRVt3VsUEP987herVi6+U+ysnPQ0Vbt97DOjTA10qemuws25iZ0algTc2MDzI0NcLQx5054DHWqlgfgg1a1cbVXHYujujVl3YEzhQo1m49cpGP9GtR+usxHnRoxb+0+wmIeoq3UIjE5lfCYh1R0LoNf5aLvItauWv5fFWOeJyI2kS9/2smPnw9QT4t++JhD5//i2PcTycrJpevn3+Fsa8mAtvVIzcjCxDD/mDI20CMlI/OVt1/aaCsUpGbkcD8+hWqOpni75N95e7YY8XHT8iw/fr9Abhlc3xUTfW2qO5lhZaxLey87zAx0MDPQwcFcn7txT7A0Ut0J7OXrhIulIQDDGpZjw4WIQoWa7VeiaFfNDr9yqhPsQfVc+fbQXcIT01W5JTWLiMR0KtgaUcvVosj98Stn8crFmH/SpaYDXWo6cCs6mX3XY9SFGEtDHQ5+Up/K9iY8SEpnzMZrzNl3i1mdqhR7DJqmra1NasoTQu/fpbJXDar7+KnbWrbPv9sz7NPP+fm7hWRlZal7hvQdMhJjE1Oq1vDGytqWVh26YmpmjqmZOXYOTgQH3caitqoI2LV3f5zKlgPgwxGfsG39mkKFmj1bN9CyfRd83qsLwAeDR/DdgllEhoei1NYm6VEikRGhuFXwoKZv0X9rfN6r+6+KMc/zIDKcb2ZMYcGKXwvEZVPGDm+/OoUKNVbWtnhU8aJx9fJoaWlRo1Zt3u+r6m6ck5PD3C8+49uVv71yPKWdUqlNWmoK4cF3ca9agyo184+fRm06q3/uN2oCG1YuIjsrC+2nx0+3D0dgZGKKh5c35lY2NG7bBRMzc0zMzLF1cCLs7m3Mnj4G1LZHfxxcVH/neg75mD82rylUqDm0YyON2nTGy1d1/HQdMJzVi+cQHRGGUlubx48eEhMZhkt5d6r6FH38ePnWLbIY808SYh9w5/oVmrTrwq5LIZw/fogpQ3ux8eR1daEJIDoijFsBl5jz40b1NBe3iqzefx6nchUIu3eHaSM+wMDIiB6Dx7xUDKWFpKUkNyOFjNhgDF2qYuKWf/Fs5dNW/bNT29GcO7CCvJwsFErV8WDXbCBKAxOMXb3QMbXCqlY7lIZmGBmaoWthT1r0XUyNVceXbb0e6Nm4AODQciix/hsLFWrizu7A0qctphV9AbBv+iHhuxaSmRCBpKVNTsojMhIiMbArj0n5WkXuj2lF32IvxvyTrKRY4s/vpvLYdZi4eRO+ayF3fhyF12TVWDTBv0+jbPepSFpv/3nsi+RfI6VT1d4Ib+f8XvVtq9iofx7TyIUVp8ILnMcMqu2oukZyNMHKSJt2VW0w09fGTF8bezNd7sWlYemqOu56etvhYqEPwLB6Tmy8FF2oULM9IJZ2VazxK6t63HlgbUcWHgkl4lEGSi2JR2nZRDzKoIKNIbVcCvf+B/Ara/bcYszzeDubEJyQzsFbCTSuYMFK/wgyc/JIzyrY6yfiUTrXIpP5uU/BcxRHMz1uT6tPQkoW6y48oMwzPWzeJUptbVJSnhB8L4iq1Wvi7fueuq1tx/zzmNHjJrFiybcFzmMGDhuFiakpXjV9sLKxpV2nbpiZm2Nmbo69ozN379zCr47q/61H3wG4uKrOY4aO+pSN61YXKtTs2Pw7bTt2xffpuc+HQ0eycN5MIsJC0dbW5lHiQyLDQylf0YNafnWK3B/f2vX+VTHmeaIiwpnz5SSW/rRGPc2zSjUeJsTj4WhBbm4uw8aMpVoN70LL/vrTCuJiYujeu1+hNk3RWLar72ZGbx9bPtkeRFJ6Dn18bBnXRPWHZ/2lGH46E0VMchaSBLIMjzNysH56J/vZIoSetgJLQ2WBz2nZ+b/E9qb53a0dTHWJe5JVKJaox5lsvhJX4PGgrFyZ2OQsunrZEP4ok35rVb1lPqrrwAC/4nnWfv/NBHSVChqWNy/U9uBxJpuvxnJweI1CbXl5MtP+CObrDuWLXK+BjoLUzPzHdNKycsnNA8N35I54o5oe9G9Tl+Hz1/DoSRoD2tRlUn/VAJe//uHP8m1HiU5IQpIkZFkmKSUNG3NVgc3K1Fi9Hj1dbaxM87vJ6uvqkJaeX7BwtM7/f3G0MScmMblQLJFxiaw/eI6tzzw6lJWTQ8zDx/Rs5kdY9EO6T1kOqIo9fy/0vK7E5FS6Tf6ez3q3pLF3/jPb+jraDO3cSD0uzcD29Tly6RYD2tbDUE+HJ2n5+/kkLQMjvXfnD1j9ilb0ec+ZMRsDSErL4oP3nBnf0h2AdefCWHkyhJjHGUg8zS3p2Vgbq/b//71lAPSVCvVdJwA9bS3SnhmU+3/snXdYVMfXgN8t9N6b9N7EgmIBC/aGgr0bu8ZeY0vsxsQSY0liuhqNvffYC1ZU7KKCIB0B6SwsfH+sv13JLiqK0eTjfZ77POzM3HNn7w73njlzzhlrQy353zZGWqRkFSj15WlmPpsvxbEzQhGSWSQtITmrgC61qxGbnkefF94ywxs78UlDh0q5BxXB00qfE/dS+eavKGa080RHQ0z1ajJly9ZYm5ntPBm67up/0lBTv1Ew3foO4rNRA8nMyKB7v0GMnipLMrdl3c/89v0KkhMT5M+SrMwMTM1lq3bGpmZyORqamhibKD5rammRl6dwR7eyUSi+1jZ2pCYre7AlPI1jx6bf2bddMZEtKpKQkpRIx269eRobzbCeMm+ZT0aOo/fA4Uoy3oXMjHSGdO/A8PGf0aBxM0AWu73qq3n8vuuIynNWfT2P2OhHhN+LR0dXj28WfsHEYX1ZvW4bG35cTZ0GjXC2zJ6bAAAgAElEQVRx91J57n8B/8CmdOj5CQsmDCErM52QXoMYNGEmAHs2/sKWn1aSmqwYP9nPMzA2k40fQxOFEUNDUwtDE7Myn/PzFe795laK8WNhY8uzFGVjSnLCUw5sWcdfuzfLy4okEtKSE2gV1ouEuBgmD5AZj3oMHUtYv2GVcg80NLXQ0tah1/AJCAQCAlu2x9bRmdsRl2jYXJFg8ujuzfgHBmNkqphkmphbYmJuCYCjmyf9x0xl57q1/1pDjaFXEBaNevHg53EU52Ri0bg39p0mApB06g/ij/yIJDMJkCm2xbnPUTeQ/e5qL4UCCdU0y4QGCdU1KSlUjAd1Y8Vio4aJDZJMRX6x/1GYHk/K2S2kXtglLyuVSpBkJmPeoDOFabHc+UY2GbFpNRSr4AGVcg/eBaG6JoaeDTH0kE3gbDuM5enI1UgLcsm4fRqhmgZGPpWrQ32sBLkY07uOFWO33iUzv4jedayZ1FxmrP3jcgJrz8aRlFX44tkCz/OLMdNTMUcSi/42ZxKRV/SSHvNSDjsbAw2SVcyREjIL2Hw1iZ03FONMIi0hKbuQLjUsiUsvoN+6SACGBdoxoJ5NpdwDEx11fujpzfxDj5iw7S6tvc1wM9fGSr9sGO3OG8kEORthqqs6vNZUV52mbsaM2XKXvSOUJ+f/doKaNKPXgEGMGz6QzIx0eg8YzMTpXwDwx28/8ePqFSQlxsvfQ88zMzB7oceYvKy3aGphYqp4L2lqaZGXq9BjrG1s5X/b2NqSkqT8HoqPi2PLH7+xa9smeZlEIiE5KYHOPfoQGxNNvy6yBPhDR49nwJARSjLehYz0dPp0bs+YSdNo1LS5vHz4gJ4ENAhk465D5GRnMeKTXvy05lsGj1S8a44e3MfKJYvYduA4WlpaqsR/ED6oWXp4w2oMb1iN6Gf5dP3lJnXs9HE00WLOwWi2D/LFx0qH7EIpngsuUKo6tcxrScxSPHQSnhdirqum1MZST4M+dSyZ09ZJpYypze2Z2tyeyPgcOv8SSZCzIc6mZX/EizHP6bP+drn9iJqlbDkMj8ni3OPn+Cy6AEB2gZSbiblEpebhY6VLwvNCApbJ4uTyi0qgFGKe5bO2hye3EnPotU62a1WxtJS8Iik+iy5waWIdXM20OXpfsQPQveQ8zHTV/hPeNP9jdNfmjO7anEfxKXSY9A0BPs4425gz4/vt7F82Hj8XW7JyC7DrNJHStxw88WkKT6X41AwsjJS9qaxMDRnYPohFI7uolDFrYAizBoZw7UEs7SYsp2ltD1yqlXXPPH/zIV2mrS63Hwn7lqssz80vpOv01bRtUJ1hoU3L1Hk4WCEQKHtpgSw87G5MgvzznegE3O3/W4k+RzRxZkQTZ6LTcum8Jpy6DsY4munwxZ477BzZAF8bfbILinGbefitx0dipiLeOSEzHzN9ZWOXlYEm/RrYM7ejt0oZn7Xx4LM2HtyIyyR0TTiN3ExxNisbY3/h8TN6/Vh+6NPjRW3eqv8vIy0tJeaZ6hw15Qyj/wwDPx3PwE/H8+TxQ/p1akmtgAbYO7mwaNZkNuw5hlf1GuRkZ+HvZPbWYyUpQWGoS4yPw+zF5PRlLKys6dF/KNMXLFEpY/z0uYyfPpdb1yPo27EZDRoF4+hSNn/DlfCzDOnRQeX5ANf+tvvX/8jLzWVojxCatelA3yGfystjox/yNDaGjk1kK+6SwkKKJIW0CvDm8MXb3L99i3Zh3eVGqx4DhtCxiT8Al86f5uLZU+x9obBlZWYwuFt7ps79iq59Pim3j/82eg4dR8+h43ga84gx3VtR3b8+1RxdWDlvKqu2HMHNpwa52Vm09rF86/GTmqQYPykJT+XGnpcxs7SmU5/BjPnia5Uyhk6ezdDJs7kXGcHobi3xDwzG7m/JoW9cPMuk/uWHzh29l6ZU5uj2Zoa4o7s20/fTSa9sIxD8+/NeVWs9nGqth5OfHM3Nr7qi71oHLQtHov+cg+9n29Gx80Gan82FUZ6UDex4cyQZCkNvYXoCagbmSm00DC2xbNIHp56qdzCxD5uKfdhUcmIiiVzcGUOvILQsy3r9Pn9wkdvL+5TbjwbfRb1V/8tDx9qNgpRopfLS0lKy7ofz/O45LoyRLRhI87PJfXKTvMQo7Du9elz9WxkeZMfwIDuin+XR5afr1LE3wMlUi9n7H7J9SE18rXXJLpTiMfcMpW85lhJfWmBKeF6IuZ6yscNSX4O+AdbMaeeqVAcwtaUTU1s6ERmfTdiP1whyMcL5b6FJF6Mz6f17ZLn9eDi7kcryxq7GNHaVeRtnFRRTf8kF3C3L6kg7r6cwuoldubLhhY7zH81RAzB89ASGj55A9KOHdG3fnDr1GuDo7Mqc6ZPYfuA4Pn41yc7KwtPW5O113gTF7p8JT59ibqH8HrK0tqbPwKHM+XKZShlTP5/H1M/nEXntKp3bBhPUpBnOrmX1mIvnz9Cnc/m7YUYlKu8sCTI9pm+X9rRs14GBw0eVqbt7+yYrf1yHpqYmmpqahHbtycG9u+SGmovnzzBp1FDWb9uLo7NqJ4gPxQebud+Iz0aAAG8rHfQ0RIiFAoRCAbkSKUIBGOuoIZGWsvS48jahFWFzRDKh1c3QVhex9nw83WspD6xO1c0I/SmSNl4m1LXTJ69IysmoTNr7mHI+OhMzHXVczLTQ1xIhEggQqdAlAhwMVBpjXsWkYDuGN1RYnodtvkdnP3PC/MxQFwk5O85fXrf2fDzPcov4orUj+poiLk5UuKpejcvmy6MxbB3oi5aakNaeJnx5NIazjzOpaaPHt6fiCK1uxn+FiPtPEAgEVHeuhr62FiKRCJFQSG5+IUKBAFMDXSRFxXy5bv87XWfDoXC6BtdBR1OdVduO06dVPaU2XZrWofX4pbQP9KO+jzO5BRKOXblDp0a1OHP9AeZGerjZWWKgq4VIKJDHjb5MA1+Xco0x5SEpKqbP7LV4OFjxxSDlWM4eLQL4YecJGtd0p1gq5bf9ZxkW2gSAzk1r03HKt3zSPhBrE0NWbv2Lni0ClGT8W7kel4kA2a5HuhpiRCJZstzcwmKEAgEmOupIpCUsOfLgtbJexaZLcYTWskFbXcQPpx7TvY6tUpvQmtaErDpPGx9LAhyNyZNIOXE/hQ5+1px7mIaZngau5roYaKkhEgoQqbCK1HMyeStjjKS4hJJSmfomKS6hoEiKhliIQCBgy5WnNHU3w1RXndsJWfx2/gljm8leThGxGRhqqeFoqkNyViEL99+jpbfiuVkkLUFaUkppKRRJSykokqIuEqpMWvyxc/PaVQQCAZ6+fujq6SMSixEKReTl5iAUCjE2NaVIImHl4nnvdJ3tG3+nfeceaGvr8Nt3KwjrpZz3oX1Yd3q2a0qLdh2pXa8hebm5nD1xhNYhnbl49hSm5uY4uXqgb2CAUChSmcfDv35gucaY8pBIJIwe0A0XDy8mzJxfps7Fw5tjEYr/k0O7t3Ps0D55OJNPjVoc3LWVFu06oq2jy5b1P+PmKZtILVixlsIChWLcvXUjvvjqW+oFlTUq/5u5d+MqCAS4evuho6snGz8iEfl5svFjaCIbP78sn/96Ya9g/+bfadGxO5ra2mz+6Vvadu2r1KZ5SDdGdg6mUeuOVK/TgIK8XC6eOkrTdmFEhJ/G2NQcexd39PQNEYpEiFQkevULCFRpjHkVdk6uOLp7sfmnb+k6cBSXTh0l/kk0PrUV75So2zdIevqEoFZltxKPCD+Njb0jFta2xEU/ZN3KxbTq3KtC1/+YyI6+gUAgQMfOG5GWHgKRGIFQiLQgF4RC1PSMKS2WvFOoM8i24TarF4pIXZv4w2uxCOyu1MYsoJMs102tNui71kVamEfm7ZOY+rcn89551PXN0LJyQaStL0v6q2I8GLgFvJUxpqRYAqUlQCmlxUWUFBUgEGvIVvRLpJRKi6CkmNKSElmdUIxAJMakVhtidizm+YNL6DvX4un+lei71EGspYtdp0nYtFZ4Ed77bhjm9TtjVk8W2lEqLaa0pFgmv6RYJlekpjKh8b+BG0+zEAgEeFvpoqchRiz8nx4jmyOZ/G+OdEzZsFUR/rySRKifBdpqIn44F0f3WsqLdp38LOj0QwRtvMyoa28gmyM9SKe9rznnH2dgpquOi5k2+ppiRAJU6jEBjoblGmNexa2EbDwsZIv2M/Y8oHMNC4y11crUx2UW0Nqr7Bznr3tp2Btr4WKmTUq2hK//iibQWTl64b/AjYgrsrFSvQZ6+vqIX7yHcuV6jBkSiYSli95t2+nN638jtGtPtHV0WLv6G7r3VtZjOnXpQWirxrTp0Im69QPJy83l5LEjtO/UmfNnTmJmboGLmwf6BoayuZsKPSagQVC5xpjykEgkDO7dBXdPb6Z9sUCp3q9mbTat/4VJ02eTk53N7u2b8XsR+nT75g2G9OnGqp/XqwyH+tB8MENNVoGULw48Ji6zAB11Ed1rWRDoJIt/7FnbgmYrI9DREDEp+NVW0tfR0deMARvukJhVSAdfM/rWUV7JtDfWZHVXd+YfjuFRWh7aaiIaOBrQ3seU5CwJk3c9JCVHgqGWGlOa2+NgXDkuUfqaYvQ1FT+BhkiAkZaizPqleEo9DRH5RSVy176X62LS8xEJBfIycz11vunsxqSdUaTlFtHc3Zgpzewrpc8fA1m5+Xy2ZiuxSenoaGnQp3V9GteUhbb0a9uQ+oPno6utybT+7V4j6dV0aepPj5nfEZ+WQViT2gzsoPyScbQ25efpn/D52p1ExSWjralOUA03OjWqRdKz54xZ/gfJz7Iw0tNm5icdcLKuHIPZpTuPOX71Ltqa6uw8GSEvv/jzLGwtjBnYPojHCanU7P8Fmupq9G5Vjz6tZHkJqrvYMntwJ8I+W0V+gYRuzesyOOS/406cnV/MzN23iUvPQ0dDTM+6tgS6ytw5ewXY0WTJKXQ1xExu5fYaSa8mtKYN/X6+TOLzAjrWsKJ/A+X/MXsTHb7rU4t5++7yMCUHbXURDV1M6eBnTXJWIZO2RpKcVYiRthpTW7vjYKrzTn16me5rLxD+SOZZF7omHIBLM4KxM9bmemwmc/feIU8ixVxPgwH17elbT/asjUnLY+GBezzLlWCkpUbb6pZMa6MIq5u4JZItV2QrKxcepzN603W2j6hHQxdT/m3kZD9nwfQJxMc9QVtHl869+lO/kcyQ0LXPQNoH1kRHV08eDvW2tAvrxojeoSQlxNOmU1d6DBiq1MbWwYlla9fz9ZxpPI66j5a2DgGBjWkd0pmUpARmjR9BakoiBobGjJs+BzvHytk55/rlC5w9cRQtbW0O7toqL99/7gbW1eywtFaE3egbGqGuoYG5pUyZHzJmMvOnjadtg+pICgvxql6TRSt/BMDIuOyuLiKRCGNTM7R1Km+Mf2hysrNYMXsSSU+foKWjS7tu/eRJdNv3GEC/Fv5o6+gyaMKsd7pO847dmDqwMymJ8TTr0IVOfZS3T7exd2T2qnWsWTid2EcP0NTSplaDxjRtF0ZacgJfTR3Js5Qk9AyNGDLpC2wcVHsQvw2zV65jwYTB/LRkLjb2Tsz/fiMGRorf/8iuPwls2R4t7bK//f2bEcwdM4CcrOcYmZrRpkvff23YE4A0P4vHm76gIC0OkYYOFkHdMfSU5WqwCOpJxKxmiDR1sOv4bh4gZnU7cmfFAAozEjGr2wHLJsqGO01ze9yHryZm63zyEh8h0tDGwKMBpv7tkWQm8/C3yUiep6CmY4h96BS0zB3eqU8vc2tpL7Luy945NxfLklP7f3UBTVNbUs5vI+oXRWLx5NMbsQ2ZgH2niajpm+A+bDVRv06gKCsNPadauA1ZCYBYWx+xtsKrWSDWQKxjJC+L3buCuD2KVfzYnV/jOnCZSiPWv4GsgmI+3/dQPkfqUdtSbmjoVcea4BWX0NUQM7G5wztdp5OfOf3X3STxeSEh1c3p97ccngD2xlqs6e7F/EOPeJiah7a6kAZORrT3NScpS8LknfdJzpZgqCVmSgsnHEwqL2xkxYknnIxKR10kILSGBTNal33v7biRTCtPU6XNDtJyi5i5N4rUHAn6mmKauZsws81/c7e5rKznfDF1AnGxMejo6NK97wACG8u2te/ZbyDN6skWEia9CId6Wzp26c6A7p1ITHhKh7Bu9B2kHD5r7+jE6l82MH/WZzyKuo+2tg4NgprQvlNnkhMTmTx6OCnJiRgaGTNl5lwcnCrnN7l6KZxTx2V6zJ4dW+TlJy/dxMbWjiWrfmTGxNH4OVshEolp2qI1YyfPAOCnNd+Skf6MQb0UifQD6geyYce7LfZXFoK3dYFSEiQQlMbPC3x9w3+QLj9H0reOFR3/Q94k/zQ2s85SWlr6XpfKBQJB6fO/1rzPS1SYdhOW80mHILo09X994//HGDQfWenjQyAQlCYtLd/t8WMgdM15+te3p1PNyonFrgIsJ+57o7EkEAhK76cpx9F/rPQNaU6PAUNoF/bvnDD8G3A3VX+r55BAICg9G/txu8OP6taSTn0G0zzk49mF4mMn0E7rrcdD4C/xr2/4AYlc3AWrJn0xCyh/V5QqKo+zA23eWccRCASlCQs/Pk/Czj9eo29dazr5KUcaVCHDevqJf2QOFJ+leqvrj4UubYPpO3AYHbtU6TEVwUZf/M7j598fEFxFFVVUUUUVVVRRRRVVVFFFFVVU8R+hylBTRRVVVFFFFVVUUUUVVVRRRRVVVPGR8N/ZBkgF2wZV/9BdqOJfyv5l4z90F6r4iNk5smKJw6v4/8v6PX996C5U8S9m1RbVW6NX8f+T6lO3feguVPEfYfuQmh+6C1X8S9h24PiH7sL/W6o8aqqooooqqqiiiiqqqKKKKqqooooqPhKqDDVVVFFFFVVUUUUVVVRRRRVVVFFFFR8JH62hJmDpZa7GZX3obnA+OpNqn5/Fdd557ibllqnLKiimxuKL9P79lrzsalwWzVdF4LkgnOpfXmTs9gfkFkoBiM8swHXeefnhMvc8NrPOEhmfIz//4J00Gq+4isvc8wR9c5WolLw36ufz/GJGb7uP54JwvBdeYPbBx0ptrsRmUe3zs6w6HScv+/zAY5znnKfRiqsVui8fM769Z3L5TvSH7gZnrj/AsMWnWLcfz+3Hsp0kdp2OIHjUV5i1GcO4bzaWab/l2CWs24+XH+ZtxmDTQRGC9XKddfvxGDQfye7T196oL6u3HcOr53TsOk4kdOpKnqaky+u6Tl+Nc5cp2IZMIHjUV1y6oxg7n63ZikXbsfh/MuddbsUHxX/+Ma4+yfjQ3eDcwzSsJu3DadpB7ibKnm17byTQZsVZ7KYcYMq2yDLtr8RkELYmHPeZh/GdfZRpO24iKS6R10/aGkn12UdxmX6IJl+f4sid5DLnLz8ahdesw3jNOsyyow/euJ+Tt0YSsPA4lhP3Kd23lccfErT4JM7TDxL01Un2RybK61KzC+nz0yW8Pj+C/dQDSnJbLj+D7ZT9St/zQxJc05XrVy5+6G5w8ewpPMw0qGlvxP07NwE4tGc7XVs2xMdal88nflqmfVpKMsN6dqKeuzW+NnpK8r79cg5tG1THw0yD/Ts2l6nbsWkdHZv4U8vBhGa13dn069o37uer5P51YA+t6/lQ29GUQC87Fs2cjFQqe/ddCT9LTXsj+eFna4CHmQbpaakALJo5mWa13alpb0xYs3pcPn9GLvfw3h3UtDfC3VSd1OSkN+7rP02XBu7civjwYyki/DRB9tq08DDl0T2ZbrJhzRJ6B9eghacZfYJrcurgLnn7Izs30cLDVH4EuxrSwlOxU2bU7RsMD21CC08zPmlTjwe3rr9RP25FXKR/yzq09rGkfU075o8fTF6uQte5eu4k/VvVpYWHKaO6tiAx7kmZ83et/5GuDT1o4WFK/1Z1ycqUvbP+/HEFzd1NCHY1fOt79E9xeXIAWY8+vG6Vee88ZwdV4/wIV3Kf3gUg7co+rs9rz7mhjjxcN1XpnML0eO58O4Dwke5cHFudp4e+l9flJz/mxoIOnB/uzI357clPVtY3VfH8/gUivwzj/HAXbi3rXaauVFrM3dVDuDShNmcH2iB5nqJSRkFqLOeHOZfpc0lRIQ9+mcCFMb5cGOPLw9+nUFJcBIDkeSq3v+nHhTG+nBuqvCX9tTmtOTfEQeU9+Fip+1U4V2Off+hucP5xBjYzTuAy+zR3k2T/289yJQzbeAuveWfwX3yeHdcVz+yrsc9p9u0lPOaewXfBWcZuvUtuoWy3o6eZBbjMPi0/nL84hfX0E0TGZ7+2H6+SC1BYXMLMvQ/wmX8W9zmnGbZRMWcbuOEmjp+fotevNyrrtnxwAnycuXrpwofuBufPnKSagRquVgbcvS3Ta/bt2k77pvVxNNVm6riRZdo/iX5M28b18LIzxdvOjIE9w0hOUuiYSxbMpkkdX6oZqLF7W1n941WkpiTTr2sIvo6WOJnpKNV3aRuMk5kOrlYGuFoZ0CesnbzuwrnThLVugoulPr1D25Y5Ly01BVcrA2wN1SvUn4ry0RpqPiacTLSImtUAT8uyP/CSY09wMtEqU+ZorMX6ft7cnVGfixP8KSkt5ZuTsQDYGGoSNauB/FjT1R0bAw18rWVyI+NzmH84hlVd3YmaVZ8/+ntjoqP2Rn0cv+MBNgYaXJlUl4gpdelWs+x2eyUlpcw++Jgaf1Pq57Z1Yn0/rwrdjyreHJdq5iTsW463k2wbZyM9HcZ2a0G/Nso5Tro1q0vCvuXyY3BII9o39JPXv1x35NuJaGmoEezv+do+RNx/wuL1B9i1eAyPd3yFg5Up077bLq+fOzSU+5sXEbdnGZN7t6b3F2spLS0F4MuRXdm28NPyRFdRQZxNdXi8qA2eVvoAGGmr82lTZ3oF2Cq1zSooYkiQIxGzmnFqcmPuJmaz6sRDef2wRk5cnhnMw4WtWd7dj0//uEZmnmzb6sO3kth4KZYjExpxeHwQf1yM48jtZKVrqMLHxoDl3f2wNtBUqhMJBKztV4uo+a35qrMv4zbfICZNZsAWCKCFlwXfdPdTOg/gyPggxjRzeaM+/H/EwdmVa08ycPfyBcDA0JjBoyfStc9ApbZCoZAmLduycIVqI4u9kwszFi6jeq06SnWSwkLmLFnNpYfJfP/HDlZ+NbeMYeRVvEqub83abNx3gqvRaew/f4N7tyPZ/PtPAPjXD+Takwz5MXHWAmoHNMTYVGYQ0NPX55et+7kancaQMZP4tF8XcrJlCnqrDmFc+wgMrf8mbJ1cOXovDWcPHwCEIhFz12zg8O1kJi1aycJJw4iPkU2uW4b25Oi9NPkR2ncojVqFAFBcVMT0od1p06Uvh24l0WfERKYP7U6RRPLaPlRzcGbJul0cupXEtvP3KC0p4bcViwDITE9j5vBeDJ86l0O3k2nQrA2zR/eTn3v68B72/vkbyzbs48jdVL749jfUNWTPox5DxrL+r4hKvV//H9CycKLBd1HoVJPpDGIdQ6q1GYFlUE+ltqWlpdz5diBGPk0IWHED/8XhGPsGy+vvfTcCY78W1Ft5GyO/5tz7fqSSDFUI1bWwbNKXau1GqazXdwvA49NXG44f/zkbXYey+ScTjv1KfsID/BedwX/RGXJib5N0agMAAoEQY7/muA5cqlJezS8OUa3d6DfqfxXKOJlo83B2IzwtdQH4fN9DNNVEXJvWkD8G+DF7/0MeJMt0BAcTLTb09+Pe50FcnFyfktJSlp+QGWirGWrycHYj+bGmhzc2hhr4Wuu+tg+vkguw4NAjcgqlnJ0YwO2ZgYxqYi+v+6WPL192dKvMW1LFSzi5uBGV+BxPb5leY2hkxIhxk+nZb5BSWxNTM77/fRO3n6Ry7WE8Lm7ufPHZBHm9o7Mrcxcvo0ZtZf3jVQiFQpq3bsfSNT+W22b5d78QlficqMTnbNixX16upaVN34HDGDVB2ZBramZOVOJzAhoEVqg/FeW9GmqWn4hlyu6oMmVtv7/O0fuylZFpex9S66tLeC4Ip8+62yRmFaqU0+XnSHZHpso/Lz3+hKl7FBOWfbfSaPptBN4LLzBgwx3Scl6vRLwrd5NyiXiaQ7ea5mXKjXXUsNLXkH8WCwXEZqj+XjsiUwmtboZAINtifdWZOCYG2+FrrYtAIMDOSBPjNzDU3EvOJSo1n6nN7dHREKEhFuL1N6PS+itJ+Nvp42KmVY6Uj4uvNhxgzLI/ypQ1Gfklhy7IrLITVmzCvfs07DpOpPO0VSSkZaqU027CcraduCL/vOj3fWU8WXadjiBg0DzsQyfRY9Z3pGa83nr/LjSu6U7HRjUxNXj1y6ekpITtJ6/StVldlfVbjl2mbQM/9LSVJ9N/Jy45HR9nG9zsLBGLRHRqXIsHsYpVDk8Ha8QiEaWlpaiJRKRkZJFX8P7/hyrCsqMPmLS1rCdGq2/OyL1Ipm6/id+co7jNOETPHy+S+DxfpZzQNefZdS1e/vnrw/fLeHjsvZFAo69O4jHzMP1+vkxqtur/3coi0NWU9tWtMNFVV6oL9jCnja8lOhpijHXU6VLbhmuxinHuaqGLhlgEyJ4zRcUlJL94hu64lkD/+vZUM9LC1libAfXt2RERr3QNVfRvYE8DZxOEQoFS3cimznha6SMUCqjvbIKHpR63EmTeQaa6GvRvYI+HlbKHx/tk9ZIFzBo/okxZ5+b1OXFY9rKdPXk0gd72+DuZMbh7B5ITVd+HviHNy3iJrFw8t4wny6E922nX0I+6LhYM7x3Ks1TVK76VRf1GTWnVIQxjE1OlOmNTM3p+MhQ3Lx+V53bs1puGTZqjoaH8fOgxYAg1/AMQi8W4enhTv1EwN69dUSGlYnItrGzkhhehUIhYLOZprGrPxr3bNtGhi2KCOGrKLOydXBAKhbTp2AUNTS1iHkWpPPd98tuKRSyeWtYwPbh9Q879JfMQWzJjLB39HWntY8nEfh1JTVI9lkZ1a+QuErIAACAASURBVMlfe7bIP/+8bD5fT1NMBk/s30GfZrVo42vN1IFdyEh7v2Op17DxOHv4IBQKqREQiJObF1F3lFeQS0pK+GvPVlqG9gDgyaP7FOTn07H3IEQiEc1CuqKmrsH1C6837Bkam2JmaSP/LBKLSYyLAeDW1YtUc3SmfnBrRCIRPYaOI+p2JHHRMr1u3crFjJ39NbaOLggEApzcvdDU0q6EO1FxYvcsJ+q3KWXKrs9tS/r1owA8XD+NS+NrEf6pJ7eX9aEwI1GVGCIXdyH14m755ye7lpbx4ki7so+ImU25MNqbO98OQJKV9h6+jQJDz0BM/dsh1jNRqsuIPIaarhFWwQMQqmki0tRB20Y2mc1LfEhB6hNsWo9AqKZJtTYjKUiOJi/xoZKcv6Pn6Id5vVA0jKyU6gQiMTYtBqPvXLvc89MjjyMQCDHwLDsxKnz2FEOfJoh1DBHrGGLk04T8BNnzQ03fBKum/eQGqo+F5cdjmLzzXpmyNquvcPSe7Heftvs+NRedw2PuGXr/doPE56p1kc4/XmPXDcUizJK/opm66778876bKTT55iJe887Qf13ke58fnXzwjFGN7dAQC3G30KG1lxk7XvTPREcdKwPF/EgkFBCXrlpX23E9mVA/C/n86FW8Sm56XhG7I1NYGOKGoZYaYpEQX+t/Vkd5G5Yvns+UMcPLlLVtXI+jB/cBMG38KGq52eJpa0KfsHYkJqh+F3VpG1zG22PpwjllPFn27dpO07rV8bYzY0D3TqS9Z70msHEw7TqGYWKqrNfo6ulh5+CIQCBAIBAgFqsRF6PQITr36E2j4BZoar5+3vMyJqZm9Bs0DM8Xi2AVwa+WP6HdemJlU63C51YW79VQE+JrxsE7zyiWylbnYzMKiHmWT2NnmctqXTt9To2pRcSUuhhqiZl7sOLhKtefZjPnUDRrurlzfWpdXMy0mLb3kcq2O2+k4LkgXOXRfFXFVmhm7X/EF60dVT5E4jML8FwQjsu8cPbdTmNAgPJLKaewmKP30wn1U7gY34jPIT6zkICll6m75DJfHo2hpKT0tX25EZ+Do4kmQzbdw3vhBUJ/iuRWosLFOD2viJ/DE5jQ1K5C3/FDEtakNvvO3aD4het8TGIajxNSCa4te9nW93Hh8i+fc3/LIoz0dJjx/fZXiVPJ1XsxzPhuO7/MGMjDrYtxtbVg/IpNKttuPXYZu44TVR4Nhsx/+y9aDqeuPUAqLaFpLQ+lutLSUrYfv0K3Zm9mVW5a24P8wiLuRCcgKSpm+4krNPubJ063GWswbzuWztNXM6RjY3S0NMqR9mHoWMOaAzeTKJbKQn+ePMsjJi2PJm6y/58AR2POTm3CjdktMNJSY/aeuxW+xrXYTGbvucMPfWtxc04LXMx1+Gz7TZVtd0TE4zbjkMqj6ZJTb/9FX8HlmAzcLcoqGFO338Rh6gFaLD9DkJspbhYyA+CD5OwyBhMPKz0eJFeuETK7oIj7Sdnya34o2nbqytEDuykulrk6xz2JJjb6EQ2btgCgdkADDl24ydnbsRgYGvHlrCmvEqeSyIgrfDlrCst+3MC5u09xcnVn9mTVq8J7t23C38lM5dGhUa23/6LvAalUys2IK7h4VI5X5ZUL56jtaIq/kxl3bl6nc6/+Sm2ePH7I3Vs3aN2xs0oZT2NjeJ6Zjr2Tc6X0qSIEd+jCmcN75GMpITaGpzGPqduoOQDV69Rn44kb7L4Sjb6hEavmfVbha9y9cYWV86YyZ/U69kY8wd7ZjSUzxqhse2TXn7T2sVR59G9ZsVXF/5GbnUV01F0cXJUnrlfPnaSkpAT/QIX3xP+8K+WfS0qIfnDnja6VFB9Lax9LmrubcGL/DsL6vzTxeEmu7BqlRD+4g1QqJepOJHeuX6ajvyPdg7zZ8vOqin3JSsSsbgjPIg5SKpWNiYLUWPJTYjD0aQyAvmtdai08Rd3lEYh1DYnePLfC18iOvk70n3NwH76Gusuvo2XpwqP101S2Tbmwk/BPPVUeEZ83f/svWqY/N1A3siRycRcujPHl9rI+FKTJQubzEh6gZemMUCxbRBSK1dGydCYv4f0aVkuKJcRsXYBjt1lKdeYNupIVdYminHSKstPJiDwu/30+VkKqm3Pwdppcp4lNz5fNj1yMAahjb8jp8QFcm9YAQy015hx4vSHs71x/msXsAw/5roc3N6Y3xMVMm892qw6D3nE9GY+5Z1Qezb69VKHrvvzIKCkt5X6yIm3E08wCPOaewWX2afbdSmVAPRul83MKizl6L40wPwuluvIoT+69pBysDDSYvf8h3vPO0HLVZc4++vg9NEPCunFw7y75uyg2JpqY6Ic0btYSgLr1G3Lqym0iHjzF0MiYudMnV/ga169eZs70Saz59Q+uP0rAxc2daeNVe9Dv3LIJT1sTlUfz+pW7e5inrQlOZjqs+eZrhnw6rlJll8fMyWPxdbSkR8dW3Ln18YTnw3ventvZVAsLPXXORWfS2MWIvTfTaOlpgrpYZh8K9VN4o4wItKHfhjd7+b/MpohkPgmwkocljW9ih9fCCxRLSxGLyhpRQv3My1zzbdl5IwULPQ3q2Ovz+JmyNdjGUJO7M+qTliNhw5UkLPWVV8sP3HmGo7EmHhYKz5fkbAnHHmRwYHgNJNIS+vx+G1sjTXr7W76yP8nZEo5HZbCqiztrurmz8Woygzfe5cy42qiJhHx5NIahDWzQ1/z37MbuUs0CKxMDTl27TzN/L3aeiqBdAz/U1WTfoetLRoqx3VvQbcaaCl9j/aHzDOnUWB6WNLVvW+w7TaJYKkUsEpVp27VZnTLXfN9sPX6Jzk1rIxIp21LPRUaRVyihmf+bTa50tTRoUdebwGELAVk41oG/bT++ZcFIJEXFHAy/SV7B+/UieRuczXSx1Nfg7MNnNHE3Y8+NBFp5W8ifJWG1FC/7T4Nd6PNTxRQLgE2XYvmkoYM8LGliSzfcZx6mWFqC+G+/Q1gtmzLXfN8cvZPM8XupHJ/YqEz54s6+LAz14dzDNO4nZcsNx3kSKXoaCm88PU0xuRJppfZp0tabtPS2wM3iw65OObq4YW5pxYUzJwhs2oKDu7fRrE0H1NVlz92XPTeGjJ7I0J6dKnyNbX/8Su9BI+RhSZ9OmkldF3OKi4sRi8s+Vzt06Vnmmh8zS+fNwMLKmqDglpUiz79eQ65GpxH3JJpdf67H0Eh5tX7vtk0EBbfE0MhYqU4ikTBl5CcM+nQCevoGldKnimDn5IqJhRUR509St1Fzju/bRlDL9qi9GEstO/WQt+01fAJTBoRW+Br7/vydzv2Hy8OSBoybThtfK5VjqWWnHmWuWRl89dmnNGzeDgdX5UWAo7v+pFmHLohevP/snNzQ0NRkx7ofCOk5kOP7tvE05hEFBapXwf+OpY0dh24lkZGWwu6Nv2BmaQ2AT+0A4qIfcvbIPgKatOTPtSuQFBZSkJ9HRmoy0uJibl4JZ9PJSFKTEhjbsw2Orp7UadSs8m7EG6Jl6Yy6oQWZd89h5NOYtMt7ManZEqFYNibM6ynGgE3rEdxZ0a88UeWSfGYTVs0+kXt92IWM58JoL0qlxQhEZceEeb3QMtd8H0gyk0m9uAfvCRvQd65N7O5l3F87Cr/puykpzEOkWdY4L9LSpaQwtxxplUP8oe8xrtEcTXN7pTotc3tEmnpcHCsLiTKt0wFjvxbvtT/virOpNpb66px9nEkTV2P23EyhlZepQqepoTBSjGxkR7/fKz553HQlkU/q28jDkiYEO+A576xqnaaGRZlrvi2NXI1ZeeoJizu5E/0sn4O3U8vkUatmqMm9z4Nk86NLCVgaKC8KHridipOJFh6Wb74IVJ7cpCwJkfHZdPA149q0hpyISmfIH7c4OzEAEx3ludnHgrOrGxZW1pw7dZzGzVqyd+dWWrYNkes1od0UOsaIcZPo1zWkwtfYtP5XPhk6Uh6WNH7qLLzsTFW+i0K79SxzzffJ3bhnZGdl8cfvP2HvqJxXqrKZMfdL3Dy8EIpE/PrDKvp26cDpK7fR0f2wi5D/473nqAnxNWPvLZkr397bqYT4KNydvjkZS8PlV3CfH07YzzfJzCsuT0y5JGQWsuxErNwzxn/JJcRCASnvyb0vt1DK0hOxzGjl8Nq2prrqNHU1Ysx2ZQv2zhuphP3NaKQpFjKwnhUmL8Kn+ta14mTU6y2/mmpCXEy16FTdDHWxkAEBVuQVlfAoLZ/I+BxuJuTSq/a7P4D/aUKb1GbnKZmn085TVwlronCJ/XrDQWr0+4JqIRNoM34Z6VkVVxKepmSweP0BuWeMV48ZiEUiktM/bBLrAkkRe89cp9srwp5CG9dCTSxSWf93fjtwjn1nr3N9/RxSDq7gk/aBhE1bpbRSqq4mpmOjmqzc+hf3n6h23/6QdKxhzZ7rCQDsvZFIxxrW8rrlR6Oot/A4LtMP0XHVeTJyK/7//zQjn6VHo+SeMTXn/iV7lrzn8KfXcS02kwlbIvntE3/M9JSVGpFQQCM3M049SOPEPZnbqra6iJyXkullFxSjo/5m4+VNmL/vLomZ+XzdtfrrG/8DtO3UlYO7tgFwaNc22nTqKq9bs3QhLep4UsvBhF7tg8nMeFZh+YnxcaxeMl/uGdO4uiMisZi0lI83ue3r2PjLDxw7uJcVv/75Ru7lFcHW3hFXT28WTJ+gVLd3+58qDVmlpaVMGzUIU3MLRk/9vFL7UxGadejC8X0yD83j+3YQ3KGLvO63b7+ke5A3Lb3M+bRLc55npJcnplySE+L49ZuFcs+YsAAXRCIx6anvfyx9t2gmKYnxTPlS2UOlsKCAU4d2y8OeANTU1Vm4djNHd/5JSG0HThzYSc36jTCzsFY6/1UYmZpTr3EL5o2T5VsyNDZl3po/+Hn5fDr6OxIf+xgHV0/MLG1Q15SFZ/ceMRFtXT3sXdxp2akHF08ffYdv/m6Y1Q0h7fJeAFIv78W0jmJSFLv3G6581pDwke7c/DKM4hzVYdivovBZArG7l8k9Yy5N9EcgFJebUPd9I1TXxNCzIYYeDRCqaWDbYSzZj64iLchFqKGNtKCsviXNz0GooZyks7IoTE8g+dwWbNup9jx7uH46Ig1t6q26R71VdxEIhERv/vg3QAipbs7em7LfeO/NFEJ8FXOCb47H0GDJBdzmnCZ0bQQZeUUVlh+fWcCyYzFyz5jai8Pf6/wIYH57VwqLSwj4OpwJ2+/SyssMS31lvcVUV52mbsaM2aLs/bzjejKhb2k0+rtcLTUh2uoiRgbZoS4W0srTFEdTLSI+gs1qXkdIWFf27pTpNXt3biMkTKHXfPPVAhr6ueNuY0RY6yZkpldcr0mIi2XZl/PknjH+nvaIxWJSPoKk/Xr6+nTr1Y9BvTorzVUqm5r+ddHR1UVLS4uR4yajo6PLtasVX+x9X7x3F4sOPqZ0WHuD4Q1tiMsoJOhF2FN49HP+uJLMlk98cDDW5E5SLh3Wqs66raUuIr9IsRqcmqN4YFnqq/NZC3sG13/96vaOGyllctu8TDUDTU6Meb1benR6PnEZhbRcI9ttR1JcikRaQtA3VzkzTjm2VloCT9ILypSlZEsIj3nOklDXMuVu5tpvpTC7m2sjQPV5F58850FqHtUXy3ajyJNIEQoEPH6Wz7LQjzuBVmjjWjQf/TVju7UgNimdJi/CgM7eeMBv+8+yZ8lYnKzNuPU4nmajvlIpQ1tTnfyX8q2kvJSDxsrEkM8HhjAiLFjVqWXYcuwS45arDouytTDm4s/K7rhvy8Hwm5ga6VHbw0GpTlJUzO4z19g8b4TyieVw+3E8bRv4YWchW90eHNKYad9t59nzHEwNlb0hiqRSniQ9w91eOWTvQxJSw5p2K84ysqkzcel5NHKTGX3PP3rGhgtP2DaiPg4m2txJzKbtirMqZWiri8l7ybMkNVsxNqwMNJnexp0hjV5vwd9+9SmTt6kOi6pmpMXpKU0q8M3KJyo5h/6/XGZ59+rUtjd6ZVtpaSkxz2S7xLlZ6HEvKZtmnjLF715SdqV5vqw58Ygjd5LZM6oBWmqVZ/x5F9p07EK31kEMGjWB+LgnNGgsW3m/dO40W9b9zO87D2Pn6Mz925F0baU68ZuWtg75+QpPgZdjtS0srRk/Yx79h70+6eSerRv5YpJq92HranbsP/fhd5c4sGsrP3yzmD/2HVeZA6cyKJFKiY0puxtMZMQVUpOTCG7VXqn9vM/GkZKcxM9b9iEUfrh9DoLbd2ZYx8b0GjaepKdPqPMiDOjahTPs2fgz3/55CBt7Jx7evcmwjo1UytDS1qHgpbH0cg4aMwtrhk6ZQ7dBqkPnXubIzk1lctu8jIWNHRuOvXnI9sYflnPurwOs2X4MDU3lXHXn/tqPkYkZXjXKeo66+9bku50nAFmoXPcgL9yrV9zVXVoiJf6JIry9TqNm/PrCQyYn6zndg7xxcvdC39AIE3PLSjcevgumdTpwY0EHbFoPpzAtDkOvIACe3w8n+dQf+Ezegqa5A7lxd7gxv4NKGSINLaQSxZgoylLkXVQ3ssS+82fYtBj82r6khO8od4ciTZNq1Jp/oiJfTSU61m4UpCinIigtLUXb2o38pEdyb5+SYgn5yY/RtnZVIalyyImJpPBZApenBABQIsmHUshPjsF38mbynt7FqddcxFqyFXCLwO483vTFe+tPZdHB15z230UwIiiPpxkFBLnI3vHhjzPYcDmBrYNr4GCsxZ2kXNp/p3r3MG11IflFit0gX85BY6mvwbSWTgxuqLxZwd/ZcT2JKbtUh0VVM9Tg5LiAN/pOJrrqrO2lyJ02assdatvqq2wrLS0l5m85alKyCwmPzmRpmLLH35vyslw3i/dnQHzfdAjtSodmDRk+diJxT2IIaioLbQw/e4o/fvuJLXuP4uDkzJ1bkXQIVt6gBP6n1yh2D059Sa+xtLbhs8/nM3ikagPoy+zYvJGp41TPO6rZ2nPiUuWHC0mlUpKTEsnPy0Nb55/7HT+k/qGK926ocTTRwsZAg+n7HtHa0wS1F+52ORIpakIBRtpq5EqkrDz9tFwZXpY67L/9jFA/c6JS89h/O4223jLlslstC8Zue0B9BwO8rXTJyCvi0pMsWnkqu1yH+ZkrebFUFHdzbcIn+Ms/77udxpF76azu6g7AX/fTcTDWxNlUi5ScIpYcf0KgU1kX7t03U/G31cPmby5/XWqY88uFBAKdDCguKWXD5UQG1ZetXMVlFFBv2RXi5ylPMuo7GJArkbLvVhptvEzYdDUZXXURzqZa2Bpq0s5boYjPORiNg4kmwxv+c2Ebb4uzjTnVzI2Z8O2ftGtYXe5BkpNfiFgswlhfl5z8QpZuPFSuDB/nauw+c41uzepwPzaJ3WeuERJUA4A+resx9MvfCfRzw9e5GulZuYTffEi7hsq71nRrVrdcD5eKIJWWUCSVUiwtQSotpUBShFgkLBNqtfXYJboFqw6zOnLpFvo6WgR4lzUmnLn+gJFfr+PmH8r5cmq62fPdjuMM7BCEpbE+v+47g7mRHiYGusQmP+P243ia1PJAKBDw+4FzJKU9p6absnvxh8bRVAcbIy0+236T1j6WimdJYTFikVD2LCmUsuKv8mPlva312ReZSOfaNkQl57AvMpH21WWhhT3q2DJq03UauJjiba1PRp6Ei4/Tae2jHHrYuXY1Otd+9+Ri0pJSiqQlSEtKkZaUUlAkRSwUIBYJic/Ip8ePF5nRzoPmnmVXl3ILizl4K4k2PpZoiIUcup1M+MNnfN5e5jofVtOaWbvvyL2O1oU/YUEnhfJkOXEfl2YEY2esnKBTUlxCSWkppS/+LiiSoiEWIhAI2HQpjp/PxbB3VAMMtZXdhguKpPItxAuKpAgEyBMev0/snVywtrFlzpQxNGsbgpqaLOwrNycbsZoahsYm5Obk8P3yxeXK8PDx5fDeHYR06cmjB3c5vHcHLdvLQgzCevVnyshPCGjYCA8fPzIz0rkSfpbmbZXdjUO69iKka693/k5SqZTioiKKpcWUSKUUFhQgEovlLsmFBQVICgvlfwsEAtQ1ZO+UoqIiSqRSSkpKKCouorCgADV1dYRCIWdPHGXeZ+P4dftBqtk5KF03uKYri1b+RECgco6HV8k9uHsb1WvVwcbWniePH/Ljt0sIDC4bfrB3+yZatu+EplZZQ8HKxXOJuHSeDXuOyb/Dh6KagzMWNrYsnTGWoFYdEL8YS3k52YjFaugbGpOfm8P6VaoXBwBcPH05eWAnLTv14MnDe5w8sJPGbWQhd2279WXeuEHUrN8IV6/qZGWmc+PSOYJaKk/wW4b2pGXou7ub79+yju2/fcd3O46jb6ja4Ht015+0UBFm9ejeLWwdXSkukvDrioW4elXHyd0bgANb13Ng63pWbTmidN75YwexsXfCztmNZylJ/Lx0HrUbNpHXR92+gaO7N3k5WSybNZ6WoT0weBEq17pzbzZ+v5wZy34kLTmRo7s3M2PZT+98H94WLQtHNIxteLRhOiY1W8vzs0jzcxCI1FDTNUJakMvT/SvLlaFj68WzK/sxrxdKXmIUaVf2Y+ov2+7VIrAbD34ci4F7fXTtvCnKySAr6hImNVspyTGvH4Z5/bB3/k6lJVJKpUVQUkxpSQklRQUIhGIEIjEmtdoQs2Mxzx9cQt+5Fk/3r0TfpQ5iLV3EWi5omtnx9ND32LQcQvzhH9A0d0DbSraj35NdSyl8FofboG9UXLOEUqlElu+nVHZNBCL5/SwpKgRKX/wtoaSoAKGaJka+TfD/UrH4En9kLUXZz3DsLjPG6DpUJ+X8NvSc/YFSks9tRbuaYqJfUlTwQrbsbxAgVPvwefgcTbSxMdRg+u77tPIyKzs/EinmR9+efFKuDC9LXfbfSiGshgVRKbnsu5VKOx9Z7r7uta0Ys/UO9Z2M5POjizGZtPYyU5ITVsOSsBqvTrPwJsQ8y8dQW4yOuoj9t1K5GJPJV51ezI/upWFvrIWLmTYp2RK+/iuaQOeyz6PdkSn42xlgY1g2Yezmq4lsiUhi+xBlI/Gr5DqbauNhocPac3EMbmDLyah0njzLp7bdPx9aW1EcnV2wsbVj+oRRtG7fUa7X5GRnoyZWw+iFXrNy6ZflyvDyrc7+XdsJ7daLqPt32b9rO207yp4f3fr0Z+yQAdQPaoy3rx8Z6elcCj9Lq3bKek1Y916Eda8cvaaoqIjiYpleU1BQgPiFXnPh3Gm0tXXwrl6D7Kws5s2cSq06AXIjTVFREdL/6R9FRRQUFKD+Qv84f+Yk40cM4uIt1TlqCwoKKJQUyv8WCARoaGjwPDOTGxGXCWjYCIFAwG9r1/A8M4MaL3a2LCkpQSKRUFxURElJCQUFBYhEIvlv8U/wjyQtCfExY+HRGP7op5jYNHUxYretHnWXXMZUR42hDa05ck+169bQBjYM33wP30UXqW2rR0dfM4peJNmtY6fPzFYOjN3+gLjMQgy1xHTwMVVpqKkM1ERCrF8ysBhoitEQCbDQk01anuUWMWv/I1JzitDXFNPMzYgZrRzLyNgZmaoy70zfOpbEpBcQ+M1VNMRCutU0p/uLbbaTsiT42aiOl1MXC/m5lycTd0YxYWcUHhba/NTLEzWREDUR6GgoJkpa6kL0NEQYaf9zg+xdCGtSm9k/7WL7IsXqY/M6XtTxdMSn1wxMDfUY1aUZB86rtuZ+2jmYAfN/xqnzFOp4OdK5SW2KXiQoDvB2Zt7QUIYv/p0nSc8w0tOmU+NaKg01lcWff11k5Nfr5Z/XHTzHZ33bMq2/bIU5IzuPo5fvMG+oakVsy7HLdA32V1ptTHyWSU131caVXi0DuB+bSPCni8nNL8TVzpL1XwyRy1i68TBDFv2GUCjA29GGLQtGYmb0cWbFD6lhzYL999g0RJFoNNjdjF12htSefwxTXQ2GNXLicDlbUQ9t5Miw9RF4fX4Ef3sjOtWwprhEZlio42jM5+09Gb3xGrHp+RhqqxHiZ6XSUFNZbL3ylHGbFR4Wf1yMY2JLVya3cmfTpTgSMvOZtuMW03bcAsp662y6FMf0HbcoRWbE+r5vLXl+nVY+ltxOzKLFstMADGnkSEtv2bMk8Xk+lvoaWOqrzpzffe0Fwh/JQjpC14QDyI06y44+ICWrgMDFJ+XtxzZzYWxz2Wqqw2cH5eUOnx2kmpEWV2b+M3kl2oR2ZencGfy0ZZ+8LKhZK/x2bKaJnzMmZuZ8MmIsxw7tVXn+gOFjGTe4NwFuVtSsU492od0oKpJ5b9aqW58psxcx5dOBPH0Sg6GRMa07dlZpqKksdm/5g2mjFSvsWzf8wqjJM+VhQdWrKVYpq1fTx8bWnuPXZEbKWeOHs/NP2XPmyoWzTB05kHW7jhIQ2JgfvvmKrMwMerZVGGI6dOnF3KWrKSoqIjc3B1dPb5V9epXcJ48fsmjmZLKeZ2BkbEqbTl0YPUURwiSVSjm4cyuL1/yiJHfV1/NR19AgyEfxDJuzZHWlGLzehuD2nfn+y1ksXb9HXhbQpCXeterSub4bRiZmdB8yhrNH96k8v9vg0XzxaV/a1aiGT60AmoV0obhIForo61+fT2csZP74wSTGxaBvaERwu84qDTWVxW8rFvIsJYneTWvIy/qOmkK/UbLE2lmZGVw4eYSRMxYpnbt/8+/s37IOgMDm7Zi+VLHFaWpSAp5+qnfpyXiWyvLPJ5CRloKOnj4NgtswYvoCef3v337JxdN/oaamTstO3RkxTVE3cPxMlkwfTUhtB/QMDOk9YiL+gU3f7Sa8I2Z1Q4jZtpBqExS7URr5NkXv0m4uT6qLmr4p1i2H8uyastEKwKbFUO59P5yLY3zRc6mNWUBHmaEE0Hepg0O3mTz4aSyFaXGIdQwxrdNBpaGmskg5v42oXxShicmnN2IbMgH7ThNR0zfBfdhqon6dQFFWGnpOtXAbojBCeQxfw4OfxhK3JCKQMAAABuRJREFUZzna1TzxGLZaXifJTELXoQaqeP7gAre+UoRvnB/mjHnDrnKjztXpjSh8Jlu0vfLCeybwl3iEappoGCvC7USaepRI8lHXly1COnSbxaP107g8uQ6UlqLvWhfnvovKXOflvzVMqlHn64sVv2nvgRBfcxYefszGAYrNPpq6GlPL1oA6i8Mx1VVjaENbjtxVvQvY0Ia2DP/zNj7zz1Lb7v/au/eYqss4juOf3w8552AXLUSbmt2czixo5SVbrvtGNaUSZ3YhdStLMwxrEGF2pXUxbbVyrXSaoiaV15XWugBhrjRmEt6d4sGDUqlhnAPY6Q/KtEOk8vvBc/D9+osNDj/O9uw5z/Ph+3yfM5WS2Fn1f++Pzuugyck9lb7oJ+36NaiOcbEacmlCo0GNU9aVH9TTK7boUO1hJXU7Q++nJar9X8euqw7VKWfZFu2rrm3YH/WOV87NxzaN/6ikUvcMiDxaGTgYUlL3xtel//d73xpxsdLzy/TyZzt0fnyc3rnrEp0dJXugoXcMV+6UbM076sro625K1pL8hRrQ9wJ16tRZDzw8UatWLG309Q+Mn6gHR43UpRd00RX9r1TKsBGqq2+Yd/oPvEo5z7+k9LGjVb5zhzqedbaG3J7aaFDjlPwFc5Xx0D9Xc+fNfk8ZWZM1KXuKDlVXKzN9nCr85Wrf/jQNGnyNZsxecORnH58wVovyGj6L1hQXKX3sKC1a8bmuGnytAhUVSrq8X8Tz/nZR59OP+bp7j/O0ZsM21dfX6cVncrR180Z5Yj3qm3SZ3v9wuU4/o2GsfftNgYbfeuMxrx1+V5qmz4hcx7jFcursl2VZ4caqPaJd8Y79ylq6TQXp/31lYEt4q3C3unbw6rZE5yfYpt5jt8lFCofDrtYgW5YVPvD5iTcDNl1hyWY9+vp8fT/L/RLcjNfn686bBmrAxc433mrqfXS4cZzj48OyrHBgauTRiGj3zdYqZeb/qKKs1t1wLCmp0M6ff9cjN/Rs8We/snKT9v0W0supkb1tzpm0/LjGkmVZ4U1VZl0f31xrir7WlMfG69NvN7Tq37F+3XfKnztLz75m3nzcu5NHRaW7lNAlMjjt3clzUvOQZVnhol3H1xg3WqxbXaBXsyco70v3j9hljklVxvPT1KXr/x+tcNKe8p26+/okfbGl8X4wV/eIO+nxcPXMxq+5jWb7NxZr25wsXZFb4Pqz1ufepr6T8hTjbZ3r1E/GzsVTVXdwr3qmRVZcFo3p1uw1jmVZ4Yrc1v3cd0Px9l+VuXizCjOO71hUc9w3Z71yh/aKqLRxwsK1e7Rk/V7ljY78J23X7C9bZA/kP3jiPVpNV1z4lbImjlfB2lLXn/XEow9r2J13q9/AQa4/699Sb7le944Zq5TUERHf63Zmu2aPH7MOYhnItiz5D4TU54XVKgu429W+KeMGd3clpHn6k+0aPa9MnhhzzoO3FbZtaffeX9QjZZJKt7u7+HstfaQrIU322/ka+dQMeWOj58YwU9mWJf/+GvV68lOV7Wm9RnYpl3VtlZAmeXqh3v5qu9oZdv7XBLZta4+/XP0uTNCmnxrvfdQSEi/vb1xIs2r5x+p3YYI8Xq9RfUtMZdu2Kv3lSr7kHG3b6G7w99LM/BYPaT549w2NSh4gj9f5DVtbZVm2Qr/4tXp8Hx3aHdm81UmJ2YujKqQpee5W+VfOkBUTHRUWJmnYHzVci10WqHb1WbPTEl0Jae6ft0E5y7Yolj2Q42zbln/3LvU5N15lpe6ua16c9maLhzRV+/aqz7nx+mHtd7Jj3DviT0UNmkRFDZpCRQ2ccipX1KB5qKjB0aiogVOoqDm1UVGD5qCiBgAAAAAAoA0hqAEAAAAAADAEQQ0AAAAAAIAhHOtR44uNCYTq/+jiyC+DMbzt7Mpg3WH37ieWFOf1BIK1dYydKOTzxFbWhGodHR9xsTGBIHPJKcfXzq6sOY65xhcXFwgFg4wPHOH1+SqDNTUnPA95fXGB2hBjqa3xeH2VoeCJj4cYjy/wR12I8YAj7Fhv5eHaYLPWOOyPoldL7IFY07RdJ7s2OZpjQQ0AAAAAAACah6NPAAAAAAAAhiCoAQAAAAAAMARBDQAAAAAAgCEIagAAAAAAAAxBUAMAAAAAAGAIghoAAAAAAABDENQAAAAAAAAYgqAGAAAAAADAEAQ1AAAAAAAAhiCoAQAAAAAAMARBDQAAAAAAgCEIagAAAAAAAAxBUAMAAAAAAGAIghoAAAAAAABDENQAAAAAAAAYgqAGAAAAAADAEAQ1AAAAAAAAhiCoAQAAAAAAMARBDQAAAAAAgCEIagAAAAAAAAxBUAMAAAAAAGAIghoAAAAAAABD/Amc3ieyAkGh6wAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "from sklearn import tree\n", "import matplotlib.pyplot as plt\n", "plt.figure(figsize=(20,5))\n", "dtc = tree.DecisionTreeClassifier(max_depth=3)\n", "dtc.fit(X, violating)\n", "details = tree.plot_tree(dtc, filled=True, feature_names=X.columns, impurity=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In the root of the tree we see that there are 13704 individuals who we correctly identified as people who will never receive training. As many of those as possible should be removed from the analysis.\n", "One major category of such people (blue rectangles) are those who earned more than $8263 in 1975, were not black, and were older than 21. " ] }, { "cell_type": "code", "execution_count": 136, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
violationtreated
FalseTrueFalseTrue
to_remove
False8242222310282183
True16011481116392
\n", "
" ], "text/plain": [ " violation treated \n", " False True False True \n", "to_remove \n", "False 8242 2223 10282 183\n", "True 160 11481 11639 2" ] }, "execution_count": 136, "metadata": {}, "output_type": "execute_result" } ], "source": [ "new_a = (X[\"re75\"]>8263) & (X[\"black\"]==0) & (X[\"age\"] > 21)\n", "new_a = pd.Series(new_a, name=\"to_remove\")\n", "pd.concat({\n", " \"violation\": pd.crosstab(new_a, violating),\n", " \"treated\": pd.crosstab(new_a, a)}, \n", " axis=\"columns\"\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Indeed, using this categorization we will correctly remove 11641 people. Only 2 of those received training, \n", "and 11481 of them are part of the positivity violating population, but also 160 who are not.\n", "\n", "By playing around a bit with the cutoffs (the decision tree we used optimized for the gini index, not for positivity identification and so we are justified to adjust it) we can obtain an even more specific removal\n", "By repeating this analysis (not shown here) we identify a few additional populations that can also be removed.\n", "Below is a summary of populaitons that will not be included in the analysis:\n", "\n", "|Ethnicity|\\$ in 74|\\$ in 75|age|Married|\n", "|---------|--------|--------|---|-------|\n", "|Non Black| Any | >10K |>21| Any |\n", "|Non Black| Any | >5.5K |Any| Yes |\n", "|Non Black| Any | >13K |<40| Any |\n", "|Non Black| >0 | Any |>39| Any |\n", "| Any | >20K | >15K |>40| Any |\n", "\n", "These rules may be because of the guidelines for accepting people into the NSW program or because of inherent differences in people who apply to such programs.\n", "In any case, using the whole population from general surveys is not a fair comparison. \n", "Let's reduce the cohort accordingly:\n" ] }, { "cell_type": "code", "execution_count": 140, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
violationtreated
FalseTrueFalseTrue
to_remove
False80066598481184
True39613045134401
\n", "
" ], "text/plain": [ " violation treated \n", " False True False True \n", "to_remove \n", "False 8006 659 8481 184\n", "True 396 13045 13440 1" ] }, "execution_count": 140, "metadata": {}, "output_type": "execute_result" } ], "source": [ "new_a = (X[\"re75\"]>10000) & (X[\"black\"]==0) & (X[\"age\"] > 21)\n", "new_a = new_a | ((X[\"re75\"]>5500) & (X[\"black\"]==0) & (X[\"married\"]==1))\n", "new_a = new_a | ((X[\"age\"]<40) & (X[\"black\"]==0) & (X[\"re75\"]>13000))\n", "new_a = new_a | ((X[\"age\"]>=40) & (X[\"black\"]==0) & (X[\"re74\"]>0))\n", "new_a = new_a | ((X[\"age\"]>40) & (X[\"re74\"]>20000) & (X[\"re75\"]>15000))\n", "new_a = pd.Series(new_a, name=\"to_remove\")\n", "pd.concat({\n", " \"violation\": pd.crosstab(new_a, violating),\n", " \"treated\": pd.crosstab(new_a, a)}, \n", " axis=\"columns\"\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Thus, we were able to remove 13045 out of the 13704 people who appear to belong to the population that violates positivity\n", "(see the base of the tree), \n", "while erroneously removing only 396 who are not. \n", "Additionally, we only removed a single person who actually received training.\n", "Finally, there are 659 people who are in the positivity violating population and are not removed.\n", "\n", "We therefore defined a rule-based model that characterizes the positivity-violating population with a recall of 95.2% and a precision of 97%\n", "\n", "While this could be improved further, we will use this model going forward." ] }, { "cell_type": "code", "execution_count": 138, "metadata": {}, "outputs": [], "source": [ "X2, a2, y2 = X.loc[~new_a, :], a[~new_a], y[~new_a]" ] }, { "cell_type": "code", "execution_count": 147, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "violating2 = pd.Series(ipw.compute_propensity_matrix(X2)[1] < min_val).rename(\"\")\n", "plt.figure(figsize=(20,5))\n", "dtc = tree.DecisionTreeClassifier(max_depth=3)\n", "dtc.fit(X2, violating2)\n", "details = tree.plot_tree(dtc, filled=True, feature_names=X2.columns, impurity=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Additional rounds do not provide large specific populations to remove, and so we will stop the iterations here and re-run the analysis." ] }, { "cell_type": "code", "execution_count": 150, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The average earnings with training are $6895.68 and without training $6368.78.\n", "This translates to an effect of $526.90\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "X2, a2, y2 = X2.loc[~violating2, :], a2[~violating2], y2[~violating2]\n", "ipw2 = IPW(learner)\n", "ipw2.fit(X2, a2)\n", "outcomes2 = ipw2.estimate_population_outcome(X2, a2, y2)\n", "effect2 = ipw2.estimate_effect(outcomes2[1], outcomes2[0])\n", "print(f\"The average earnings with training are ${outcomes2[1]:.2f}\", \\\n", " f\"and without training ${outcomes2[0]:.2f}.\")\n", "print(f\"This translates to an effect of ${effect2[0]:.2f}\")\n", "evaluator2 = PropensityEvaluator(ipw2)\n", "plots = [\"covariate_balance_love\", \"weight_distribution\", \"roc_curve\"]\n", "evaluation_results2 = evaluator2.evaluate_simple(X2, a2, y2, plots=plots)\n", "\n", "fig = evaluation_results2.plots[\"covariate_balance_love\"].get_figure()\n", "fig.set_size_inches(12, 12)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This looks much better. Now we are able to balance all the features (top-left). \n", "The propensity distribution (top-right) doesn't show a large violation of positivity \n", "(although we know from the previous analysis that some remains).\n", "The ROC curve (bottom-left) shows that there is still a bit of positivity violation in that the AUC is a bit high, but importantly, the weighted curve shows that the overall balancing is quite good, since it lies close to the random diagonal line, as required.\n", "\n", "Furthermore, now we see that there is a small positive effect to training." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Conclusion\n", "We saw that adding a lot of data to our analysis does not neccessarily help our analysis, and in fact there is data that should not be included in the analysis.\n", "The propensity evaluations allow identifying the parts of the data that should and should not be included.\n", "\n", "Eventually, the estimation we obtained using the whole data set shows a very small effect of training for the earning potential of the trainees.\n", "\n", "When comparing to the paper by Dehejia and Wahba where they identified an effect of about \\$1700 \n", "(a replication of their results using `causallib` is available [here](https://nbviewer.jupyter.org/github/IBM/causallib/blob/master/examples/Dehejia_Wahba_replication.ipynb)), \n", "we can only conclude that the controls that they used are not representative of the population, and include people with very low earnings. It is possible that additional characterization of the population that they removed to reach their conclusion will allow to better understand the differences." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.8.5" } }, "nbformat": 4, "nbformat_minor": 2 }