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TP-ML/solutions/Lab11_solutions.ipynb
2022-06-05 15:43:42 +02:00

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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "Lab11_solutions.ipynb",
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"source": [
"# Tree-based methods \n",
"\n",
"In this lab, we'll consider the Pima Indians dataset, which primarly objective is to diagnostically predict whether female patients suffer from diabetes or not, based on a series of medical attributes. To this end, we'll be using several tree-based methods that were covered during the course lectures. \n",
"\n",
"Here are some info regarding the dataset's attributes :\n",
" - Num_pregnant : The number of pregnancies the patient had. \n",
" - glucose_con : Patient's plasma glucsose concentration.\n",
" - blood_pressure : Patient's dialostic blood pressure (mmHg).\n",
" - triceps_thickness : Patient's triceps skin-fold thickness (mm).\n",
" - insulin : Patient's 2-h serum insulin (mu U/mL).\n",
" - bmi : Patient's body mass index (kg/m^2).\n",
" - dpf : Patient's diabetes pedigree function.\n",
" - age : Patient's age. \n",
" - diabetes : Whether the patient has diabetes (1) or not (0)."
],
"metadata": {
"id": "vP2BHEtuQ26i",
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "markdown",
"source": [
"**Load the necessary libraries** "
],
"metadata": {
"id": "LWWFCoLHEeA4",
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"id": "Pa-8tr1GBLlE",
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"import numpy as np \n",
"import pandas as pd \n",
"from sklearn.metrics import accuracy_score, confusion_matrix, ConfusionMatrixDisplay, roc_curve, roc_auc_score, mean_squared_error\n",
"from sklearn.model_selection import train_test_split, cross_validate, RandomizedSearchCV\n",
"from sklearn.impute import SimpleImputer\n",
"import matplotlib.pyplot as plt\n",
"import math\n",
"from sklearn.pipeline import Pipeline \n",
"from sklearn.tree import DecisionTreeClassifier, plot_tree, DecisionTreeRegressor\n",
"from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor, GradientBoostingClassifier, GradientBoostingRegressor, BaggingClassifier, BaggingRegressor"
]
},
{
"cell_type": "markdown",
"source": [
"**1) Load the dataset, get its general information, and check for missing values.** "
],
"metadata": {
"id": "dHo7LMdIEhmQ",
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "code",
"source": [
"file = 'pima_indians_lab.csv'\n",
"df = pd.read_csv(file, index_col=0)\n",
"print(df.info())\n",
"print(df.head())\n",
"print(df.isna().sum())\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "uvFNkYSUBs0v",
"outputId": "b3b74434-b317-4109-ee4f-a9a809988e93",
"pycharm": {
"name": "#%%\n"
}
},
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"Int64Index: 768 entries, 0 to 767\n",
"Data columns (total 9 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 Num_pregnant 750 non-null float64\n",
" 1 glucose_con 755 non-null float64\n",
" 2 blood_pressure 761 non-null float64\n",
" 3 triceps_thickness 757 non-null float64\n",
" 4 insulin 768 non-null float64\n",
" 5 bmi 768 non-null float64\n",
" 6 dpf 767 non-null float64\n",
" 7 age 761 non-null float64\n",
" 8 diabetes 768 non-null int64 \n",
"dtypes: float64(8), int64(1)\n",
"memory usage: 60.0 KB\n",
"None\n",
" Num_pregnant glucose_con blood_pressure triceps_thickness insulin \\\n",
"0 6.0 148.0 72.0 35.0 0.0 \n",
"1 1.0 85.0 66.0 29.0 0.0 \n",
"2 8.0 183.0 64.0 0.0 0.0 \n",
"3 1.0 89.0 66.0 23.0 94.0 \n",
"4 0.0 137.0 40.0 35.0 168.0 \n",
"\n",
" bmi dpf age diabetes \n",
"0 33.6 0.627 50.0 1 \n",
"1 26.6 0.351 31.0 0 \n",
"2 23.3 0.672 32.0 1 \n",
"3 28.1 0.167 21.0 0 \n",
"4 43.1 2.288 33.0 1 \n",
"Num_pregnant 18\n",
"glucose_con 13\n",
"blood_pressure 7\n",
"triceps_thickness 11\n",
"insulin 0\n",
"bmi 0\n",
"dpf 1\n",
"age 7\n",
"diabetes 0\n",
"dtype: int64\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"# Decision Trees"
],
"metadata": {
"id": "Mje6W8ucZYvi",
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "markdown",
"source": [
"**2) Select 'diabetes' as the target variable, and all the remaining columns as predictors. Create a pipeline containing the preprocessing steps (missing values imputer, scaler,...) and a Decision Tree classifier, which maximum depth should be set to 3 (through the 'max_depth' argument). Set the entropy as the split criterion. Do you think scaling the variables is necessary ?**\n",
"\n",
"**Fit this pipeline to the data (do not split the dataset for the time being), and plot the decision tree. How do you interpret it ?** \n",
"\n",
"**You'll need the 'plot_tree' class from the sklearn library. You can access the pipeline's classifier using the 'named_steps['classifier']' attributes.**"
],
"metadata": {
"id": "qKdTxEtuE47K",
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "code",
"source": [
"features = list(df.columns)\n",
"features.remove('diabetes')\n",
"\n",
"X, y = df[features], df.diabetes\n",
"\n",
"preprocessor = SimpleImputer(strategy='mean')\n",
"classifier = DecisionTreeClassifier(criterion='entropy', max_depth=3)\n",
"model = Pipeline(steps=[('preprocessor', preprocessor), ('classifier', classifier)])\n",
"\n",
"model.fit(X,y)\n",
"\n",
"plt.figure(figsize=(50, 50))\n",
"\n",
"plot_tree(model.named_steps['classifier'], filled=True, feature_names=features)\n",
"\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "aX5HnDk9JRDC",
"outputId": "b4a96ad2-5844-48d2-b6be-41ef7a0209c3",
"pycharm": {
"name": "#%%\n"
}
},
"execution_count": 5,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 3600x3600 with 1 Axes>"
],
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},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"cell_type": "markdown",
"source": [
"Most tree-based methods are not sensitive to the scales of the variables, so scaling in this case is not necessary. \n",
"\n",
"\n",
"'Samples' refers to the number of observations that fall in each splits, and 'Value' corresponds to the number of observations belonging to each class (i.e. value = [#ObservationsOfClass0, #ObservationsOfClass1]). \n",
"\n",
"For instance, a patient whose glucose concentration <= 127.5, whose age <= 28.5, and whose bmi <= 32.25 would fall in the most left-hand side leaf, and her class would be predicted as being 0 (diabetes negative) as the majority of observations that fall into that leaf do not have diabetes (162 0's against 3 1's). On the other hand, a patient whose glucose concentration > 154.5, and whose bmi > 29.85 would fall into the most right-hand side leaf, and her class would be predicted as 1 (diabetes positive). "
],
"metadata": {
"id": "S28nzR0aGyWL",
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "markdown",
"source": [
"**3) Let's see how the model's performance evolve as a function of the tree's maximum depth.**\n",
"\n",
"**To this end, split the dataset into a training and a test set following a 0.8/0.2 partition. Then, for maximum depths varying from 1 to 20, fit a Decision Tree classifier to the *training* data using a 10 folds cross-validation with the AUROC as metric. Plot the the means of the training and validation AUROCS across each folds as a function of the maximum depth. Also, compute the standard error of the means at each depth, and add it to the plot as shaded grey area around the means (cfr. plot below) . What can you conclude regarding the model's performance, as well as the uncertainty for the in-sample and out-of-sample AUROC estimates ?**\n",
"\n",
"**Identify which depth would lead a priori to the best model's out-of-sample performance. Using this depth, fit a decision tree to the training split and report the training AUROC and the test AUROC.** "
],
"metadata": {
"id": "hHndFhA_J4QK",
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "code",
"source": [
"X_train, X_test, y_train, y_test = train_test_split(X, y, train_size=0.8, test_size=0.2)\n",
"\n",
"depths = np.arange(1,20)\n",
"\n",
"train_score_mean, test_score_mean = [], []\n",
"train_score_se, test_score_se = [], []\n",
"\n",
"for depth in depths:\n",
" classifier = DecisionTreeClassifier(max_depth=depth)\n",
" model = Pipeline(steps=[('preprocessor', preprocessor), ('classifier', classifier)])\n",
" cv_results = cross_validate(model, X_train, y_train, cv=10, scoring=['roc_auc'], return_train_score=True)\n",
" train_score = cv_results['train_roc_auc']\n",
" test_score = cv_results['test_roc_auc']\n",
" train_score_mean.append(train_score.mean())\n",
" train_score_se.append(np.std(train_score)/math.sqrt(len(train_score)))\n",
" test_score_mean.append(cv_results['test_roc_auc'].mean())\n",
" test_score_se.append(np.std(test_score)/math.sqrt(len(test_score)))\n",
"\n",
"\n",
"fig, ax = plt.subplots()\n",
"ax.plot(depths, train_score_mean, label='train', color='red')\n",
"ax.fill_between(depths, np.array(train_score_mean) - train_score_se, np.array(train_score_mean) + train_score_se,\n",
" color='gray', alpha=0.2)\n",
"ax.fill_between(depths, np.array(test_score_mean) - test_score_se, np.array(test_score_mean) + test_score_se,\n",
" color='gray', alpha=0.2)\n",
"ax.plot(depths, test_score_mean, label='test', color='blue')\n",
"ax.set_xlabel('Tree depth')\n",
"ax.set_ylabel('AUROC')\n",
"ax.legend()\n",
"fig.set_size_inches(18.5, 10.5)\n",
"plt.show"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 644
},
"id": "wzjb32Tqm6ij",
"outputId": "7139e52a-f052-4560-d327-663dd5069471",
"pycharm": {
"name": "#%%\n"
}
},
"execution_count": 10,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<function matplotlib.pyplot.show>"
]
},
"metadata": {},
"execution_count": 10
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 1332x756 with 1 Axes>"
],
"image/png": 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PYrFYGyXrdV1Ftm1TY7WHh//BB+V/8sna/aVXvUqFd7yjEni84Q0qveY1kt8vafd2Gae6rUViawsAAMBLwScnAABegEKhMGtCi+M4tXNej0fBwUE1bt0q/wMPVFZ5PPKITHXbi9veruLq1codc0wl9Fi1SraxsXZ/bWtLNURhawsAAMD+RQgCAMDzcF1X2WxW4+PjKhQKMsbI6/UqkE4rtnWr/Fu2KPDAA/Jv2SLv2JgkqRwKqXToocqsXbt7W8uyZVJ1q0pta0suV5nawtYWAACAOUcIAgDAsygUCpqcnNTExIQkKTQ2pva77lLggQcUePBB+f70J0mSNUbOn/2Z8u95j0qrVqm4erWc17xGmrFVpVwuyymVZq0cCQaDbG0BAAA4gPi0BQDADOVyWZlMRqlUSvl8Xh6PR7FHH1Xs6qsV/vnPZRxHbmeniqtXK3v88ZVVHoceKhuLzXod13VVyuflui5bWwAAAOYJQhAAACQVi8Xaqo9yuayAMWq9+241bNyowAMPqByLKbN2rTKnnCL35S+fda+1Vq7jVKa2sLUFAABg3iIEAQAsWeVyWblcTmNjY8rn8/J6vQpns2q47jpFr7lG3mRSzooVmvj615U97jjZhobafY7jsLUFAABggeETGgBgySkWi5qamlIqlVK5XJbf71fTzp2KXnWVIjffLJPPq3DEEUp961sqvPOdUnXbSqFQkOM48ng8bG0BAABYgAhBAABLwvSqj1QqpWw2K4/Ho6Dfr/A996hh40YF/+u/ZEMhZY85Rpl16+S8+tWSKltdCtXeHtFoVF1dXQqFQmxtAQAAWIAIQQAAi1qpVJq16sPn86nBWkWuu07Rq66Sb8cOud3dmjz3XGVOOEG2pUVSJTQpFAoql8tqbGxUPB5XMBis87sBAADAS0EIAgBYdKy1yuVyGh8f373qIxiUf3rLy/XXy5NOq/jGN2rs7LOVP+ooye+XVAk/8vm8JCkej6upqUn+6jkAAAAsbIQgAIBFo1QqKZ1Oa3x8XK7ryu/3KxIOK/jb3yq6aZNCd90leb3KHX20MuvWqbRqVe1e13VrI3FbW1sVi8VobgoAALDI8OkOALCgTa/6mJiYUDqdlsfjUSAQUMhaRW6+WdFNm+R/9FG5LS1Kf/azypx8sspdXbX7HcdRoVCQz+dTR0eHGhoa5PV66/iOAAAAMFcIQQAAC5LjOLVeH67ryuv1KhKJyJtMKvrjHyty7bXyjo+rdPDBGv/Od5T74AelUKh2f7FYVKlUkt/vV1dXl6LRKBNeAAAAFjlCEADAgmGtVT6fVyqVUjqdljFGwWCw0u/jgQcU3bRJ4X/9V8l1lX/ve5VZt07Fww+XqpNcrLW18CMcDqujo0PhcJhJLwAAAEsEIQgAYN5zHKfW68NxHPl8PkUiERnHUehf/1UNGzcq8MADKsdiypx6qjKnnir3ZS+r3W+tVaFQkOu6amhoUHd3t0IzVoUAAABgaSAEAQDMS9OrPiYmJjQ1NTVr1YdnbEyRH/5Q0R//WN5kUs7KlUp94xvKffSjsg0NtdeYOea2qalJTU1NjLkFAABYwghBAADziuM4ymQyGh8fV6lU2r3qwxj5HntM0U2bFLnlFpl8Xvk//3OlvvUtFd75TmlGP4/pMbfGmFr4wZhbAAAAEIIAAOpuervK9KoPSQoEAopGo1K5rOBdd6lh40YFf/MblUMhZY89Vpl16+T82Z/Nep3pSS/TY24bGxuZ9AIAAIAaQhAAQN24rqtMJqOxsTGVSiV5vd5ao1IzNaXIDTcoevXV8u3YIbe7W5N/+7fKnHCCbHPzrNcplUq1+zs7O9XQ0MCkFwAAADwDIQgA4ICaXvUxOTmpyclJSTNWfUjy7tih6FVXKXLDDfKk0yquWaOxc85R/qijJN/sv7amJ70Eg8HamFsmvQAAAODZEIIAAA6I6VUfqVRKhUJh1qoPWavAf/1XZcvL3XdLPp9yH/iAMuvXq/T61896nZmTXiKRCGNuAQAAsM8IQQAAc2p61cfExISstQoGg7VVH8rlFLn1VkU3bZL/scfktrYqfdZZypx8ssqdnbNeZ3pajLVW0WhUzc3NjLkFAADAC0IIAgCYM5OTkxoaGpLX61UoFKr16fAkEor++MeKXHutvOPjKh18sMa/8x3lPvhBaY9gY+aY23g8rqamJgUCgXq8HQAAACxwhCAAgP3OWqvR0VGNjY0pEonUwg///fcrummTwnfcIZXLyr/3vcqsW6fim98s7bGdxXVdFQoFSVJzc7Oamprk8/HXFgAAAF48Pk0CAPYr13U1NDSkTCZTaVTqOArffruiGzcq8OCDKjc2KvOJTyhz6qlyly9/xv3TY269Xq/a2toUi8UYcwsAAID9ghAEALDfFItFDQ4OynVdRaNRhW++WY3f/Ka8yaScl79cqQsvVO6jH5Wd7gkyQ6lUUrFYlN/vZ8wtAAAA5gQhCABgv8hkMkokEvL5fAr7fGo87zw1XHWVim98o1KXXKLC298u7SXUmDnmtqenR5FIhEkvAAAAmBOEIACAl8Raq1QqpeHhYYVCIQVSKTV/6lMK/u53Sn/yk5r8ylekPXp57DnmtrOzU6FQiPADAAAAc4oQBADwopXLZY2MjCiVSikSiSj48MNqXr9e3rExjf/jPyr3kY/Mun5m+BGLxdTc3KxgMFin6gEAALDUEIIAAF4Ux3GUSCRUKBQUjUYVuekmxc8+W257u4Zvu03OIYfUri2Xy8rn85KkpqYmxtwCAACgLghBAAAvWD6f1+DgoCQp4ver8fzz1bBpkwpvfavGr7hC5ZYWSZWVH7lcTsYYtbS0qLGxkTG3AAAAqBs+iQIAXpCpqSklk0kFAgEFJyaetf+H67rK5/OKx+NqaWlhzC0AAADqjhAEALBPrLUaHR3V2NiYwuGwQn/4g5rXrdtr/4/piS9dXV2KxWJ1rBoAAADY7ZmzCgEA2IPrukokEhofH1c0GlXDLbeo7UMfkozRyM9+NisAyeVykqTly5cTgAAAAGBeYSUIAOA5FYtFJRIJOY6jaCCwu//HW95S6f/R2iqp0vw0m80qFoupo6OD7S8AAACYdwhBAADPKpvNKpFIyOv1KprJPGv/D8dxlM/n1d7erng8LmNMnSsHAAAAnokQBADwDNZaTUxMaHh4WMFgUOE//nF3/4/LL1fumGNq106Pvu3t7VUkEqlXyQAAAMDzIgQBAMxSLpc1MjKiVCqlSCSi6M03K3722XLb2jTys5+p9LrXSdo9/jYYDKqrq0t+v7/OlQMAAADPjRAEAFDjOI6SyaTy+byigYCa/u7vnrP/RzweV1tbmzwe+mwDAABg/iMEAQBIkgqFggYHByVJDbmcmk87ba/9P2aOv21sbKxnyQAAAMALQggCANDU1JSSyaQCgYAijz76rP0/crmcvF6vli9frmAwWMeKAQAAgBeOEAQAljBrrcbHxzUyMqJwOKyGW2+t9P9obZ3V/6NcLiuXyykajaqzs5PxtwAAAFiQCEEAYIlyXVe7du1SOp2u9P/42tcq/T8OP1zjP/xhrf/H9PjbtrY2NTc3M/4WAAAACxYhCAAsQaVSSYlEQqVSSbF8Xs2nnFLp/7F+vSbPO6/W/6NQKKhcLmvZsmWKRqN1rhoAAAB4aQhBAGCJyeVySiQSMsaocdu2Sv+P0VGNX3aZcsceK4nxtwAAAFicCEEAYAmZmJjQ0NCQQqGQYrfdpviXvvSs/T+ampoYfwsAAIBFhRAEAJaAcrms0dFRjY+PKxIIKP71r6th48Zn9P8olUoqFovq7OxULBaj/wcAAAAWFUIQAFjkHMfR0NCQstmsYvm8Wtau3Wv/j3w+L2OM+vr6FAqF6lw1AAAAsP/NaQhijDlS0mWSvJI2Wmsv2uP8yyRdJald0pikk6y1/dVzrqSHq5c+ba09ei5rBYDFqFAoKJFIqFwuK759+7P2/8hms4pGo+ro6JDPRz4OAACAxWnOPukaY7ySvifp3ZL6Jd1njLndWvvHGZd9W9I/W2t/bIx5p6S/l/Tx6rmctXbVXNUHAItdOp1WMpmUz+dT8x13VPp/tLRo5NZbVTr0UEmVMbm5XE6tra1qaWlh+wsAAAAWtbnsdneYpG3W2u3W2qKk6yV9cI9rDpb079Xn9+zlPADgBbLWamxsTIlEQkGvV20XXqjmz35WxdWrNfLLX9YCkEKhoGKxqJ6eHrW2thKAAAAAYNGbyxBkmaSdM77vrx6b6SFJH6k+/7CkmDGmtfp9yBiz2Rjze2PMh+awTgBYNMrlsoaGhjQyMqJoNquOk05Sw8aNSq9bp9Gf/lTl1tba9hev16u+vj41NDTUu2wAAADggKj3xu8vSPonY8xaSb+WNCDJrZ57mbV2wBjzckn/box52Fr75MybjTEbJG2QpOXLlx+4qgFgHiqVSkomkyoUCmr+05/22v+jXC4rm82qqalJ7e3tjL8FAADAkjKXn34HJPXN+L63eqzGWjtorf2ItXa1pC9Xj6WqXweqX7dLulfS6j1/gLX2SmvtGmvtmvb29jl5EwCwEORyOe3cuVOO46j1l79U24c+JFmrkVtvrQUgpVJJuVxOHR0d6ujoIAABAADAkjOXn4Dvk/QqY8xKY0xA0vGSbp95gTGmzRgzXcO5qkyKkTGm2RgTnL5G0lslzWyoCgCompycVH9/v3yS2v/+79V85pmV/h//9m+z+n+4rqu+vj7F43H6fwAAAGBJmrPtMNZaxxjzGUm/UmVE7lXW2j8YYy6QtNlae7ukt0v6e2OMVWU7zBnV2w+S9ENjTFmVoOaiPabKAMCSZ63V6OioxsbG1JDLqfXTn1bwt79Vet06TZ53nuT31/p/RCIRdXZ2Mv4WAAAAS5qx1ta7hv1izZo1dvPmzfUuAwAOCNd1NTQ0pEwmo6Ynn1TL+vXyjowo9a1vKffRj9auyeVyamlpYfoLAAAAlhRjzP3W2jV7HuefBAFggSkWixocHFS5XFbbr36l+Be/KLelRSM/+1lt+0uxWJTjOOrp6WH6CwAAAFBFCAIAC0gmk1EikZBPUsfFF6vhRz9S4fDDNX7FFSq3tUmqNEn1+Xxavny5AoFAfQsGAAAA5hFCEABYAKy1SqVSGh4eViSbVftnPqPgb34zq/9HuVxWLpdTLBZTe3u7vF5vvcsGAAAA5hVCEACY58rlsoaHhzU5Oamm7dvV+slPyjs8rPFLL631/3AcR4VCQe3t7WpqaqL/BwAAALAXhCAAMI+VSiUlk0kVCgW1Vvt/2OZmjdx6q0qvf70kKZ/PS5J6e3sVDofrWS4AAAAwrxGCAMA8lc/nNTg4KDmOur797Ur/jze/WeM//KHKbW218bfhcFhdXV2MvwUAAACeB5+YAWAempqaUjKZVCidVseZZ1b6f3ziE5r86lclv1+u6yqfzysej6u1tVUej6feJQMAAADzHiEIAMwj1lqNjo5qbGxMTX/6k1rXr6/0//jud5U77jhJlfG3pVJJXV1disVida4YAAAAWDgIQQBgniiXy9q1a5empqbUduede+3/kcvl5PV6tXz5cgWDwTpXDAAAACwshCAAMA84jqNkMql8Oq3u735XDVdeOav/R7lcVjabVSwWU0dHB+NvAQAAgBeBEAQA6qxUKmlgYEB2YkK9Z52l0H/8x6z+H47jKJ/Pq729XfF4nPG3AAAAwItECAIAdTQ9AcY3NKTu9evle/xxjf/DPyh3/PG181Jl/G0kEqlnqQAAAMCCRwgCAHWSTqeVSCQU3bFDHWvXyjM5qbF//mcV/uIvZK1VLpdTMBhUV1eX/H5/vcsFAAAAFjxCEACog1QqpV27din+4INq27BBNhzWyM03yznkkFr/j3g8rra2NsbfAgAAAPsJn6wB4ACy1mpkZES7du1S669+pfaPf1xud7dGfv5zOYccIsdxlMvl1NXVpY6ODgIQAAAAYD9iJQgAHCDlclnDw8OaSKXUec01arroIhUOP1xjmzbJNjWpWCyqXC6rr69PoVCo3uUCAAAAiw4hCAAcAK7rKpFIKJ9Oq+eb31TDT36i7Ic/rNQ//IMUDKpQKMgYo97eXgUCgXqXCwAAACxKhCAAMMdKpZIGBwflTk6q9/OfV8jl8bkAACAASURBVOjuuzX1mc9o6uyzJY9H2WxWwWBQ3d3d8vn4YxkAAACYK3zaBoA5VCgUNDAwIO/IiHpPO03+rVuV+uY3lT3lFFlrlc1k1NDQoM7OTvp/AAAAAHOMEAQA5kgmk1EikVB45051rl0rz65dGtu0SYX3vGfWBJj29nYZY+pdLgAAALDoEYIAwByYnJzU0NCQYg8/rPb16yWPR6M33aTS6tW1AKS9vV3xeJwABAAAADhAWHsNAPuRtVajo6NKJBJqvvdedZ54omw8rpHbb1dp9eraCNzu7m41NzcTgAAAAAAHECEIAOwn0yNwx8bG1Hn99Wo97TSVXvtajdx+u9wVK1QsFlUsFtXb26tYLFbvcgEAAIAlh+0wALAfuK6roaEhZaam1P3tb6th40bl3vc+jV9+uRQOK5/Pyxijvr4+BYPBepcLAAAALEmEIADwEpVKJSUSCTnptHq/9CWF77hD6XXrNHn++ZLXq1wuJ7/fr+7ubvn9/nqXCwAAACxZhCAA8BJMj8D1jI9r2emnK3jffZo4/3xlNmyojcCNRqPq7OyU1+utd7kAAADAkkYIAgAvUjab1eDgoEKJhDpPPVW+/n6NXXGF8h/4QCUAyWbV1NSktrY2eTy0YAIAAADqjRAEAF6EyclJJZNJNT7+uNpPPVXGcTR6/fUqHnZYbQRua2urWlpamAADAAAAzBP80yQAvADWWo2NjSmZTKrld79Tx3HHyYbDGrntNhUPO0yu6yqXy6mrq0utra0EIAAAAMA8QggCAPvIWqvh4WGNjIyo/dZb1fqJT8h51as0cvvtcl75SpVKJeXzefX09KixsbHe5QIAAADYA9thAGAf1EbgptPq/sd/VOyf/kn5d75T41dcIRuNqlAoyFqrvr4+hUKhepcLAAAAYC8IQQDgeTiOo0QioWI6rWVf+Yoit9yizIknauKb35R8PuXzeXk8HvX29jICFwAAAJjHCEEA4DkUi0UNDAxIk5PqPeMMBX/zG02efbbSZ54pGaNsNqtQKKSuri75fPyRCgAAAMxnfGIHgGeRy+U0ODiowNCQutatk2/bNo1fdplyxx5bGYGbySgWi6mjo4MRuAAAAMACQAgCAHsxNTWlZDKphu3b1bF2rUwmo9Frr1XxiCNULpeVy+XU3NzMBBgAAABgASEEAYAZrLVKpVIaHh5WfPNmtZ12mmxDg0ZuvVXOQQfVRuC2t7erubm53uUCAAAAeAFYvw0AVdZajYyMaHh4WG133KH2U06R29en4Z//XM5BB8lxHOXzeXV3dxOAAAAAAAsQK0EAQFK5XNbQ0JDSU1Pq+tGP1Pjtb6vwtrdp7Ec/km1sVLFYlOu66u3tVTgcrne5AAAAAF4EQhAAS970CNxCOq2eb3xD0euuU/bYY5W65BIpEFChUJAk9fX1KRAI1LlaAAAAAC8WIQiAJa1YLGpwcFBKp9X72c8qdM89mjrrLE198YuSMcrlcgoEAuru7mYELgAAALDA8YkewJKVz+c1MDCgwNiYOtetk/+Pf1Tq4ouVPfHE2gjcaDSqzs5Oeb3eepcLAAAA4CUiBAGwJKXTaSUSCUWffloda9fKMzamsauvVuFd71K5XFY2m1U8Hld7ezsjcAEAAIBFghAEwJKTSqW0a9cuNW3dqvZPflLW79fozTerdOihtQCkra1Nzc3NBCAAAADAIsKIXABLxvQI3F27dqn17rvVceKJcltbNXL77Sodeqgcx1E2m1VXV5daWloIQAAAAIBFhhAEwJIwPQJ3fGxMnT/5iVrPOEPFVas0ctttcpcvV6lUUrFYVG9vrxobG+tdLgAAAIA5wHYYAIue4zhKJpMqZLPqvugiNVx9tXLvf7/GL7tMCoVUKBRkrVVfX5+CwWC9ywUAAAAwRwhBACxq0yNwbSajni98QeFf/lLpDRs0ed55ksejXC4nv9+v7u5u+f3+epcLAAAAYA4RggBYtPL5vAYHB+UdG1PPaafJ/+CDmrjgAmXWrZO1VrlsVuFwWF1dXYzABQAAAJYAQhAAi9L0CNzI4KA6166VN5nU+I9+pPxRR8laq0wmo6amJrW3t8vjoT0SAAAAsBQQggBYdGojcB97TG2nnipZq5EbblBpzZraCNyWlha1trYyAQYAAABYQvjnTwCLxswRuC3/+Z9q/9jHZGMxjdx2m0pr1sh1XWWzWXV0dKitrY0ABAAAAFhiCEEALArTI3DHxsbU8S//otZPflLOQQdp5Pbb5b7iFSqVSsrn8+rp6VE8Hq93uQAAAADqgO0wABY813WVSCSUz2bV/d3vKnbFFcq/+90a//73ZSMRFYtFlctl9fX1KRQK1btcAAAAAHVCCAJgQSuVShocHJSbzarn3HMVue02ZU4+WRPf+Ibk9Sqfz8vj8ai3t1eBQKDe5QIAAACoI0IQAAtWsVjUwMCAPBMTWnb66Qr+/vea/Nu/VfrTn5aMUTabVSgUUldXl3w+/rgDAAAAljp+KwCwIBUKBQ0MDMg/OKiuT3xCvh07NP5P/6Tchz8sa62ymYwaGhrU2dnJCFwAAAAAkghBACxAuVxOAwMDCj/9tLpOPFEmm9Xoddep+Ja31EbgNjc3MwEGAAAAwCyEIAAWlEwmo8HBQTXs2KGOE0+UrNXILbfIOeggua6rXC6n9vZ2xeNxAhAAAAAAsxCCAFgwpqamlEgkFHvyyUoAEgho9MYb5bzylXIcR4VCQd3d3YrFYvUuFQAAAMA8RAgCYEGYnJxUMplU0+OPq/3jH1c5EtHojTfKXblSxWJRruuqt7dX4XC43qUCAAAAmKcIQQDMe+Pj4xoeHlb8j39U28knq9zcXAlA+vpUKBRkrVVvb6+CwWC9SwUAAAAwjxGCAJi3rLUaHR3V2NiY4g89pLa1a1Xu7NTIjTeq3NOjYrEoSerr65Pf769ztQAAAADmO+ZGApiXrLUaHh7W+Pi4Wu6/X20nnyx32TKN3HxzLQCx1mrZsmUEIAAAAAD2yZyGIMaYI40x/2OM2WaMOWcv519mjPm/xpitxph7jTG9M86dYox5ovo4ZS7rBDC/lMtlDQ0NaWJiQs2/+51aTz1V7sqVGr3pJpU7O1UsFlUul7Vs2TIFAoF6lwsAAABggZizEMQY45X0PUlHSTpY0l8ZYw7e47JvS/pna+2hki6Q9PfVe1sknS/pf0k6TNL5xpjmuaoVwPxRLpeVTCY1NTWl1l//Wq3r16v06ldXtsC0tdUCkN7eXgIQAAAAAC/IXK4EOUzSNmvtdmttUdL1kj64xzUHS/r36vN7Zpx/r6S7rLVj1tpxSXdJOnIOawUwD7iuq8HBQWWzWbXefbeaTztNpde9TqPXXy/b0kIAAgAAAOAlmcsQZJmknTO+768em+khSR+pPv+wpJgxpnUf75UxZoMxZrMxZvPw8PB+KxzAgec4jgYHB1UoFNT6i1+o+TOfUXHNGo3+9KeyTU0EIAAAAABesno3Rv2CpL8wxjwo6S8kDUhy9/Vma+2V1to11to17e3tc1UjgDlWKpXU398vx3HUeuutin/ucyoefrjGrr1WtqGBAAQAAADAfjGXIciApL4Z3/dWj9VYawettR+x1q6W9OXqsdS+3AtgcSgWi+rv75e1Vs0//aniX/yiCm9/u0Z//GPZSIQABAAAAMB+M5chyH2SXmWMWWmMCUg6XtLtMy8wxrQZY6ZrOFfSVdXnv5L0HmNMc7Uh6nuqxwAsIoVCQf39/TLGqOWaaxT/8peVe897NLZpkxQOMwUGAAAAwH41ZyGItdaR9BlVwotHJd1orf2DMeYCY8zR1cveLul/jDGPS+qUdGH13jFJX1clSLlP0gXVYwAWiVwup507d8rr9arliivUdMEFyr3//Rq/8kopGJwVgASDwXqXCwAAAGARMNbaetewX6xZs8Zu3ry53mUA2AeZTEaDg4MKBgJqvuwyxb77XWU/8hGlvvtdyedTqVSS67oEIAAAAABeFGPM/dbaNXse99WjGABL19TUlBKJhMKhkOIXX6zY976nzPHHa+LiiyWvlwAEAAAAwJwhBAFwwExMTGhoaEiRcFjxr31NDZs2KXPyyZq48ELJ41GpVJLjOOrt7SUAAQAAALDfEYIAmHPWWqVSKQ0PDysSCqn5y19W9Cc/UXrdOk1+7WuSMQQgAAAAAOYcIQiAOWWt1ejoqMbHxxUJBtXypS8pcsMNmjrjDE2dey4BCAAAAIADhhAEwJyx1mp4eFgTExOKBAJq/uu/VuTWWzX1+c9r6vOfnxWA0AMEAAAAwFwjBAEwJ8rlsnbt2qWpqSlF/H61nHGGwnfcoclzzlH6zDMlaVYAEgqF6lwxAAAAgMWOEATAflcul5VMJpXNZhX1+dR82mkK33mnJs4/X5kNGyRJjuOoVCqpt7eXAAQAAADAAUEIAmC/cl1XiURC+XxeEWPUsm6dQvfco9SFFyq7dq2kSgBSLBYJQAAAAAAcUIQgAPYbx3E0ODioUqmkqKSWU05R4Le/VeqSS5Q94YTaNQQgAAAAAOqBEATAflEqlTQwMCBrrSKuq5aTT1bgvvuUuvRS5Y49VhIBCAAAAID6IgQB8JIVi0X19/fLGKNQPq/Wk06S/6GHNP697yl/9NGSdgcgNEEFAAAAUC+EIABeknw+r8HBQXk8HgXTabWecIL8jz2m8SuvVP7IIyVVApBCoaDe3l6Fw+E6VwwAAABgqSIEAfCi5XI5DQwMyO/3Kzgxodbjj5dv+3aNbdqkwrveJYkABAAAAMD8QQgC4EVJp9NKJBIKBoMKjI6q9WMfk3fnTo1ec42Kf/7nkghAAAAAAMwvhCAAXrCpqSklk0mFQiH5k0m1HXecPLt2aezaa1U8/HBJBCAAAAAA5h9CEAAvSCqV0vDwsMLhsPwDA2o97jh5xsc1et11Kr3pTZIIQAAAAADMT4QgAPaJtVbj4+MaGRlRJBKR/6mnKgFINqvRG25Q6fWvl7Q7AFm2bBkBCAAAAIB5hRAEwPOy1mp0dFRjY2OKRCIKbN+u1uOOk0oljdxwg5xDDpE0OwCJRCJ1rhoAAAAAZiMEAfCcrLUaHh5WKpVSNBqV/7HH1Hr88ZIxGr3pJjmvfrWk3QFIT08PAQgAAACAeclT7wIAzF/lcllDQ0OamJhQNBpV4JFH1HbssZLPp5EZAYjrurUAJBqN1rlqAAAAANg7QhAAe+W6rpLJpNLpdCUAefBBtX7sYypHoxq5+Wa5r3xl7bp8Pk8AAgAAAGDeIwQB8Ayu6yqRSCiXy1V6gPz3f6v1r/5K5Xhco7fcInfFitp1BCAAAAAAFgpCEACzOI6jgYEBFYtFhcNhBX7zG7WceKLKHR2VFSC9vZIqAUgul1N3dzcBCAAAAIAFgRAEQE2pVFJ/f78cx1EoFFLw3nvVevLJcvv6NHLzzSp3d0vaHYD09PSooaGhzlUDAAAAwL4hBAEgSSoUCtq5c6estZUA5K671HLqqXJe8QqN3nSTyh0dkmZvgSEAAQAAALCQEIIAUD6fV39/vzwej4LBoEJ33KGW9etVOuggjdxwg8otLZJ2ByDd3d0EIAAAAAAWHEIQYInL5XLq7++Xz+dTIBBQ+Gc/U/Ppp6v0+tdr9PrrZZubJe0OQLq6ughAAAAAACxIhCDAEpZOp9Xf369AICC/36/wjTcqfuaZKh52mEavu062sVHS7AAkFovVuWoAAAAAeHEIQYAlanJyUolEQqFQSD6fT5Frr1X8859X4W1v09hPfiJbXe1RLpeVy+UIQAAAAAAseIQgwBKUSqWUTCYVDofl9XoVveoqxc8+W4V3vENjV18tGw5LqgQg2WxW3d3dBCAAAAAAFjxCEGCJmZyc1K5duxSJROTxeBS94go1nXeeckcdpbFNm6RQSBIBCAAAAIDFx1fvAgAcOPl8XkNDQ7UApOHSS9V4ySXKHX20xi+/XPL7JRGAAAAAAFicCEGAJaJUKmlwcFCBQEAeYxS7+GLFLrtM2WOOUeo735F8lT8OpgMQeoAAAAAAWGwIQYAloFwuK5lMSpL8Pp8aL7xQDT/4gTInnKCJiy6SvN7addMBSGN1MgwAAAAALBb0BAEWOWutRkZGVCgUFAoG1Xj++ZUAZO1aTXzrW7MCkOkpMAQgAAAAABYjQhBgkZuYmFAqlVI4HFZ040Y1bNqk9Pr1mvjGNyRP5Y+A6RUgnZ2dBCAAAAAAFi1CEGARy+VyGh4eViQSUejee9V4wQXKHXWUJs8/XzJGEltgAAAAACwdhCDAIjXdCDUYDCqwfbuaTz9dzmteo9Rll7ECBAAAAMCSRAgCLEKu6yqRSMjj8cg/NaWWU06RDQY1dvXVstGopN0BSEdHh5qamupcMQAAAADMPabDAIuMtVbDw8MqFouKBAJqOf10eQcGNPov/yK3t1fS7AAkHo/XuWIAAAAAODAIQYBFZnx8XJOTk2poaFDjeecp+J//qfHvfEfFN71JEgEIAAAAgKWL7TDAIpJOpzU6OqpIJKLItdeq4aqrlN6wQbmPfUxSZZVINptVe3s7AQgAAACAJYcQBFgkisWiksmkQqGQQv/v/6npy19W/h3v0ORXvlK7JpvNKh6PE4AAAAAAWJIIQYBFwHVdDQ4OyufzKdDfr+ZPflLOihUa//73Ja9XkpTP5xUOh9XW1iZTHY8LAAAAAEsJPUGABc5aq6GhIbmuq4jjqOXUU2WsrUyCqY69LRaL8ng86urqksdD9gkAAABgaSIEARa40dFRZTIZRUMhNX/qU/Jt26bR//N/5L785ZIkx3Hkuq76+vrk8/G/PAAAAICli38SBhawqakpjY2NKRKJKPatbyl0992auOACFY84QlJlEkw+n1dPT48CgUCdqwUAAACA+iIEARaofD6vZDKpcDisyC23KPa97ynz8Y8re8opknZPgunq6lI4HK5ztQAAAABQf4QgwALkOI4GBwcVCAQUeughxb/4RRUOP1wTX/+6VG16ms1m1dLSosZqXxAAAAAAWOoIQYAFplwuK5lMyhij4PCwWtatk9vVpbErr5T8fklSLpdTNBpVa2trnasFAAAAgPmDLonAAjMyMqJcLqcGj0ctn/iETDar0euvl21pkSQVCgX5/X51dnYyChcAAAAAZiAEARaQyclJpVIpRSMRxT/9afkfeURj11wj59WvliSVSiVZa9Xd3S2v11vnagEAAABgfmE7DLBA5HI5JZPJyiSYyy5T+Oc/1+SXv6zC//7fkiTXdVUsFtXT0yN/dVsMAAAAAGA3QhBgASiVSkokEgqFQor827+p8dvfVvaYY5T51KckVSbB5HI5dXV1KRQK1blaAAAAAJifCEGAeW5mI9TQY48pftZZKr7hDUpdfLFkTG0Ubltbm2KxWL3LBQAAAIB5i54gwDxmrdWuXbtULBYVTafVcuqpsvG4xjZtkqorPnK5nGKxmJqbm+tcLQAAAADMb4QgwDyWSqU0NTWliNerlvXr5Rkb0+jPfqZyR4ekyiSYUCikjo4OJsEAAAAAwPMgBAHmqUwmo+HhYUXCYTV/4QsKbN6ssSuuUOl1r5MkFYtFSVJXV5c8Hna2AQAAAMDz4TcnYB4qFotKJpMKhUKK/ehHitx4o6Y+/3nlP/ABSZVJMI7jqKenRz4fWSYAAAAA7AtCEGCecV1XiURCXq9X0f/4DzVeeKFyf/mXmvrrv5ZUaZSay+XU3d2tYDBY52oBAAAAYOHgn5CBeWS6EarjOIr196v5jDPkHHSQUpdeKnk8tUkw7e3tikaj9S4XAAAAABYUQhBgHhkbG1M6nVZDoaCWtWtlQyGNXX21bCQiScpms4rH44rH43WuFAAAAAAWnjndDmOMOdIY8z/GmG3GmHP2cn65MeYeY8yDxpitxpj3VY+vMMbkjDFbqo8r5rJOYD5Ip9MaHR1VxO9Xy6c+Je/goMY2bpS7bJkkKZ/PKxqNqq2tjUkwAAAAAPAizNlKEGOMV9L3JL1bUr+k+4wxt1tr/zjjsq9IutFa+wNjzMGSfiFpRfXck9baVXNVHzCfFAoFJRIJhcNhxb/6VQV/8xuNX3qpSmvWSKo0SvV4POrs7GQSDAAAAAC8SHP529RhkrZZa7dba4uSrpf0wT2usZIaq8+bJA3OYT3AvOQ4jhKJhPx+v2LXXqvoNdcoffrpyn30o7Xzruuqp6dHXq+3ztUCAAAAwMI1lyHIMkk7Z3zfXz02099JOskY06/KKpAzZ5xbWd0m8x/GmCPmsE6gbqYboZbLZTXcd5+azjtP+Xe9S5PnniupMgkmn8+rp6dHgUCgztUCAAAAwMJW73X1fyXpGmttr6T3SfqJMcYjKSFpubV2taTPS7rOGNO4583GmA3GmM3GmM3Dw8MHtHBgfxgZGVEmk1E0mVTLhg1yXvEKjX/ve9L/Z+/e4+Ssy7uPf35zPu3szu7sMQkkCmqV1lPU0lTqoQJWhD6oEKkVSikQDgIPSJGiqFVB8QRiQBRUsAISUPMoVVrBYmusgrQqaqsccoDsZg9z2jncM/d9/54/NjOEkISQzOxsku/79doXu7O7M9cuu7D3d67fdQWDrU0wIyMjxOPxbpcqIiIiIiKyz+tkCPIEsGSbtxdvvW1bfwt8A8Bauw6IAVlrrWOtnd56+4PAI8ALtn8Aa+0N1trl1trlg4ODHfgSRDqnWCySy+VIeh79p5wCMLcJpqcHmNsE09/fTzr9jPxPRERERERE9kAnQ5CfAYcaY5YZYyLASmDtdh+zAXgjgDHmD5gLQSaNMYNbB6tijHkecCjwaAdrFZlXtVqNiYkJEtEo/eecQ+ixx5i54Qa8pUsBqFarpFIpBgYGuluoiIiIiIjIfqRj22Gsta4x5hzg+0AQuMla+7Ax5sPAA9batcCFwBeNMRcwNyT1FGutNcYcAXzYGNMAfOBMa+1Mp2oVmU+NRoMnn3ySSCRC38c/TuwHPyB/xRXUV6wA5gKSSCTC0NCQVuGKiIiIiIi0UcdCEABr7d3MDTzd9rYPbPP6r4EVO/i8O4E7O1mbSDf4vs/4+DgA6W99i9R111E++WQq7343MBeQAIyMjGgTjIiIiIiISJt1ezCqyAHDWsvU1BSO49Dzq1/Rd/HFOCtWUPjQhwDwPI96vc7Y2BjhcLjL1YqIiIiIiOx/FIKIzJNCoUA+nyeVy9F/2ml4Y2PMfOELEA7j+z7VapWRkRFisVi3SxUREREREdkvdfQ4jIjMqVarTE5OkgT6Tz0VU6sxfccd2EwGay3VapVsNkvP1s0wIiIiIiIi0n4KQUQ6rDkINRoO03/OOYQffpiZr34V99BDgbmAJJ1Ok8lkulypiIiIiIjI/k3HYUQ6yPM8Nm/eTCAQoO/aa4l/97sUL7sM541vBMBxHGKxGIODg9oEIyIiIiIi0mHqBBHpEGstk5OT1Ot1+n/wA9Kf+hSVE06gfMYZANTrdWBuE0wgoDxSRERERESk03TlJdIhuVyOYrFI+tFH6Tv/fOrLl5O/8kowBtd1cV2XsbExQiFlkSIiIiIiIvNBIYhIB8zOzjI9PU1qdpaBU07B7+9n5ktfgmgU3/dxHIfR0VGi0Wi3SxURERERETlg6ClokTar1+uMj48TA7J/93eYfJ7pb30Lf3CwtQlmcHCQZDLZ7VJFREREREQOKApBRNrI8zyefPJJQsEgAxdfTOTnP2fmhhtwDzsMgEqlQl9fH729vV2uVERERERE5MCjEESkTay1TExM4Hke2a98hcSaNRQvuojaW94CzK3CTSaTZLNZbYIRERERERHpAoUgIm0yPT1NuVymf9060h/9KNW3vpXZ888H5lbhhkIhhoeHFYCIiIiIiIh0iUIQkTYolUrMzMzQu2kTmbPPpnHYYeQ/85nWJhhrLaOjowSDwW6XKiIiIiIicsDSdhiRveQ4DuPj4yRrNQZOPRWbSDBz003YePxpm2AikUi3SxURERERETmgqRNEZC+4rsuTTz5JxBiyZ55JcHycqTVr8MfGWptghoeHicfj3S5VRERERETkgKcQRGQP+b7P+Pg4ANkPf5jounXkrrmGxiteAcxtgslkMqTT6W6WKSIiIiIiIlspBBHZQ1NTU1SrVQbvuIPkLbdQOvtsqm97GzAXgPT09DAwMNDlKkVERERERKRJIYjIHigWi+TzefofeojeD3yA2pveROnv/x6AWq1GNBplaGhIm2BEREREREQWEA1GFXmOqtUq4+Pj9ExM0H/mmbiHHELu2mshGKTRaAAwMjJCIKBfLxERERERkYVEV2kiz0Gj0WDz5s3E63Wyp56KNYaZL38Zm0rheR71ep2xsTHC4XC3SxUREREREZHt6DiMyG5qDUL1PAbPO4/Q448zfdtteAcfjO/71Go1RkdHicVi3S5VREREREREdkAhiMhusNYyOTlJvV5n+FOfInbvveQ//nHqhx/eWoWbzWZJpVLdLlVERERERER2QiGIyG7I5/MUi0Wy3/kOqS98gdm/+Rsq73oXMDcjpLe3l76+vi5XKSIiIiIiIruiEETkWVQqFSYnJ+l7+GH6LrkE57WvpfjBDwJzm2BisRjZbFabYERERERERBa4nQ5GNcYMGmNevIPbX2yMGexsWSILQ6PRYHx8nOT0NAOnn463aBEz118PoRD1ep1AIKBNMCIiIiIiIvuIXV25fQ7I7uD2AeDqzpQjsnD4vs/ExASmXGbotNMw9TozX/kKtq8P13XxPI+xsTFCITVUiYiIiIiI7At2FYIcYq29f/sbrbU/Av6ocyWJLAwzMzNUy2VGLrmE0G9/S271atxDDsH3fRzHYXR0lEgk0u0yRUREREREZDftKgTp2cX7wu0uRGQhmZ2dZWZmhqFbbiF+990UL7sM5/Wvx1pLpVJhaGiIRCLR7TJFRERERETkOdhVCPJ7Y8xfbH+jMebNwKOdK0mku+r1OuPj4/T+6lekr7yS6jHHUD79dGBuSGomAYJMfQAAIABJREFUk6G3t7fLVYqIiIiIiMhztathBucD3zXGnAA8uPW25cDhwDGdLkykG3zfZ3x8nHChQPbss/GWLCF/1VVgDNVqlWQySTa7o1E5IiIiIiIistDtNASx1v7OGPOHwEnAYVtv/jfgDGttbT6KE5lvU1NT1Gs1Fr/3vQRyOSbXrsWm0ziOQygUYnh4WKtwRURERERE9lG7XGthrXWMMT8EJrfe9GsFILK/KhaL5PN5hr/8ZWL33Uf+iitwDzsM13Wx1jI2NkYwGOx2mSIiIiIiIrKHdhqCGGPSwJeAVwL/BRjgZcaYB4G/tdYW56dEkc5zHIeJiQn6/vu/SX/iE1SOO47KX/91axPM4sWLCYc1D1hERERERGRftqvBqNcAvwYOtda+zVp7PPB84JfAtfNRnMh88DyPzZs3E83nGTj3XLylSyl84hOtOSDZbJZ4PN7tMkVERERERGQv7eo4zApr7Snb3mCttcCHjTG/62hVIvPEWsvk5CRevc7ohRcSKBSY/NrXsKkUjuOQTCbp6+vrdpkiIiIiIiLSBrucCbILmgwp+4VCoUCxWGTki18k+qMfkb/qKtwXv7g1B2RoaEiDUEVERERERPYTuzoO82NjzAfMdleAxpj3A+s6W5ZI59VqNSYnJ8k89BA9n/oUleOPp/LOd2KtpVarMTo6Sii0pzmhiIiIiIiILDS7usI7F7gR+L0x5r+23vYy4CHgtE4XJtJJruuyefNmYvk8/eeei/v851O48kowhkq5rDkgIiIiIiIi+6GdhiBbt7+8wxjzfODFW2/+tbX2kXmpTKRDrLVs2bIF67oMnX8+plQid9tt2GSSWq1GPB4nk8l0u0wRERERERFps2ft9d8aerSCD2PMC4D3Wmv/rpOFiXRKPp+nXC4zsno10R//mNynP437ohfhui4Aw8PDmgMiIiIiIiKyH9rpTBBjzB8ZY+4xxvzKGPMRY8yoMeZO4F7mVueK7HOq1SqTk5P0/fSnpK6+msqJJ1I98cTWHJCRkRHC4XC3yxQREREREZEO2NVg1C8CXwfeBkwB/8VcR8gh1trPzENtIm3VnAOSLBToP+883Be+kMJHPwrMhSP9/f0kEokuVykiIiIiIiKdsqvjMFFr7Ve2vv4/xpj3WGsvnoeaRNrOWsv4+Di4Ltlzz8VUq+S+8AVsPE6tViMWizEwMNDtMkVERERERKSDdhWCxIwxLweawxGcbd+21v6808WJtMv09DTVapWRz32O6H/+J7nPfQ73kEM0B0REREREROQAsqsQZBz49E7etsAbOlWUSDvNzs4yMzND/3/+Jz3XXkv5r/6K6vHHt+aAjI2NaQ6IiIiIiIjIAWBXK3JfN491iHREo9FgYmKCVC5H5rzzaLz4xRQ+9CEAKpUK/f39pFKpLlcpIiIiIiIi82GnIYgx5vjtbrJsHZBqrS11tCqRNvB9n/HxcQKeR/acczD1OjPXXw/xOI7jEIvF6O/v73aZIiIiIiIiMk92dRzmrTu4rR/4I2PM31pr7+1QTSJtMTU1heM4jHz2s0QeeICZ1avxnv98PM/D931GRkYIBHa1IElERERERET2J7s6DvM3O7rdGHMw8A3gNZ0qSmRvlUol8vk8Az/+ManrrqP87ndTO+44rLVUq1XNARERERERETkAPeenwa216wFdPcqCVa/X5+aATE+TueAC6ocdRuHyywGoVqtkMhnNARERERERETkAPecQxBjzIsDpQC0ie83zPDZv3kzI98mefTZ4HrkvfAFiMRzHIRqNMjAw0O0yRUREREREpAt2NRj1/zE3DHVb/cAo8K5OFiWyJ6y1TE1N0Wg0GLnqKiIPPcTMDTfgLV3amgMyPDysOSAiIiIiIiIHqF0NRv3kdm9bYIa5IORdwLpOFSWyJ0qlEoVCgYH77yf1pS8xe+qp1N7yFqy11Go1RkZGiEQi3S5TREREREREumRXg1H/rfm6MeblwEnAO4DHgDs7X5rI7qvVakxMTNAzOUnmwgupv+xlFC+7DJibA9LX10dPT0+XqxQREREREZFu2tVxmBcA79z6MgXcDhhr7evnqTaR3dKcAxKxloGzzgJjyF13HUSjmgMiIiIiIiIiLbs6DvNb4EfAMdba3wMYYy6Yl6pEdpO1li1btuD7PoNXXknkF79g5sYb8Q46CM/z8DyPRYsWaQ6IiIiIiIiI7HI7zPHAZuA+Y8wXjTFvBMz8lCWye/L5PKVSicy//iupL3+Z2dNPp3b00VhrqVarDA8Paw6IiIiIiIiIALsIQay137LWrgReBNwHnA8MGWOuM8YcOV8FiuxMtVplamqKnokJ+i66iPorXkHx0kuBuRkhmgMiIiIiIiIi23rWMwLW2rK19uvW2rcCi4GHgL/veGUiu+C6Lps3byZqLdlVqyAUInf99RAOU6/XCYfDZLPZbpcpIiIiIiIiC8hzGpRgrc1Za2+w1r6xUwWJPBtrLRMTExhjGPjIRwg//DC5q6/GW7QI3/dpNBqMjIxoDoiIiIiIiIg8za4Go4osSDMzM1QqFbL/8i8kb7mF0lln4fz5n2OtpVKpMDIyojkgIiIiIiIi8gwKQWSfUi6XmZ6epnd8nN6LL8Z51asoXXwxMDcjpK+vj3Q63eUqRUREREREZCHq6HkBY8zRxpj/Mcb83hhzyQ7ef5Ax5j5jzEPGmF8YY/5im/e9b+vn/Y8x5qhO1in7hkajwfj4OHGg/8wzsdEoudWrnzYHZGBgoNtlioiIiIiIyALVsU4QY0wQ+DzwJmAT8DNjzFpr7a+3+bDLgG9Ya68zxrwYuBtYuvX1lcBLgDHgX40xL7DWep2qVxY23/cZHx/HGEP/hz5E+De/YfprX8MfG2vNATnooIMIBoPdLlVEREREREQWqE52grwa+L219lFrbR24DThuu4+xQPPsQi/w5NbXjwNus9Y61trHgN9vvT85QE1PT1Or1ch85zskv/51Sueei/P617fmgAwPDxONRrtdpoiIiIiIiCxgnQxBFgEbt3l709bbtvVB4F3GmE3MdYGc+xw+Vw4QpVKJXC5HetMmei+5BOfwwylddBEAtVqN3t5eenp6ulyliIiIiIiILHTd3iH6TuAr1trFwF8AtxhjdrsmY8zpxpgHjDEPTE5OdqxI6Z56vc7ExAQJa+fmgCQS5K69FkIh6vU6wWCQbDaLMabbpYqIiIiIiMgC18kQ5AlgyTZvL95627b+FvgGgLV2HRADsrv5uVhrb7DWLrfWLh8cHGxj6bIQNOeAhEIh+t//fkK/+x25a6/FHxlpzQEZHR3VHBARERERERHZLZ0MQX4GHGqMWWaMiTA36HTtdh+zAXgjgDHmD5gLQSa3ftxKY0zUGLMMOBT4aQdrlQXGWsvU1BT1ep3eb36TxB13MHv++dSPOAKASqXC0NCQ5oCIiIiIiIjIbuvYdhhrrWuMOQf4PhAEbrLWPmyM+TDwgLV2LXAh8EVjzAXMDUk9xVprgYeNMd8Afg24wNnaDHNgKZVKFAoF0hs20HvppTgrVlC64AIAqtUq6XSadDr9LPciIiIiIiIi8hQzlzns+5YvX24feOCBbpchbeA4Dhs2bCDh+wwdcwyBQoHJe+7BHxqi0WhgrWXJkiU6BiMiIiIiIiI7ZIx50Fq7fPvbO9YJIrInPM9j8+bNhEMhMhddROjRR5m+7Tb8oSF836derysAERERERERkT3S7e0wIi3WWiYnJ/E8j741a0jcdRelCy+kvmIFMHcMZnBwkFgs1uVKRUREREREZF+kThBZMAqFAqVSid7HH6f3/e+n9md/xux73gPMBSCpVIre3t4uVykiIiIiIiL7KoUgsiDUajW2bNlC0vPoP+MM/EyG/Oc+B4EAjUaDQCDA0NAQxphulyoiIiIiIiL7KIUg0nWu6/Lkk08SjUToP+88ghs2MH3HHfgDA5oDIiIiIiIiIm2jmSDSVdZatmzZAkDvrbcSX7uW0sUXU3/Na4C5YzDZbFZzQERERERERGSvqRNEuiqXy1Eul+l79FF6P/hBam94A7NnnQXMHZFJJpP09fV1uUoRERERERHZHygEka6pVCpMTU2RdF0yZ5yBPzBA/uqrW3NAAM0BERERERERkbZRCCJd0Wg0GB8fJxaN0n/BBQSfeIKpNWvw+/tbc0AWL15MKKQfUREREREREWkPzQSReef7PhMTEwD03nwz8bvvpvi+99F41auAp+aAxOPxbpYpIiIiIiIi+xk9zS7zbmZmhmq1St///i/pf/xHam96E+UzzgA0B0REREREREQ6RyGIzKvZ2VlmZmZINRpkzjwTb3iY3Gc+A8bgui6gOSAiIiIiIiLSGQpBZN7U63UmJiaIx2Jk3vMeghMTTN11FzaTwfd9HMfRHBDZJWstnufheR6u6+K6LvV6HWstfX19RCKRbpcoIiIiIiILmK42ZV4054AEAgHSN95I/Pvfp/DBD9J4xSuAuTkgAwMDmgNygLPW4vs+ruu2go56vd56aXYLbSsQmBttVCgUyGaz9Pb2tm4TERERERHZlkIQmRdTU1M4jkPvb35D+mMfo/rmN1M+7TQAHMchmUySyWS6XKXMh2YnR/PFcRzq9TqNRqPV1WGMaf0zEAgQCAQIBoOEw+GdHpXyfZ+pqSkKhQLDw8MK1ERERERE5BkUgkjHlUol8vk8PfX63ByQsTHyn/pUaw6ItVZzQPYjvu8/7chKM9xovlhrn/bxxhiCwSCBQIB4PL7HPweBQIBkMkmj0WDjxo2k02my2ayOV4mIiIiISIuuDqSjHMdhfHycRCxG5qyzCE5NMfWtb2F7e7HWUqvVNAdkH9Ocy7HtkZVtuzk8z3vaxze7OYLBINFotONHVcLhMKFQiEqlwvr16xkcHKSnp0chm4iIiIiIKASRzvE8j82bNxMOh0nfcAOxH/yA/Ec+QuOlLwWgUqmQzWZJJBJdrlS29WxzORqNRitQaB5ZaXZyhMNhotFol7+CueAlFou1ZtEUCgWGhoYWRG0iIiIiItI9CkGkI6y1TE5O4nkevb/8JT1XXkn1mGOonHIKALVajXg8rjkgz2L7oyPtuo/tt6xsH3Js+3GBQKAVdASDwX1qA0vziEy9XmfDhg1kMhkymQzBYLDbpYmIiIiISBcoBJGOKBQKFItFemo1MqtW4S1ZQv6Tn2zNAQEYHh5e0EcUrLU4jkOhUKBSqbTChD0NJvY20NjV5+/u97F5H9t//LbDR/dmLsdCFYlECIfD5PN5isUiQ0NDJJPJ/e7rFBERERGRXVMIIm3nOA6Tk5Nzc0DOOINALsfk2rXYnp5WsLBo0SLC4XC3S90hz/Mol8vkcjnq9fouux/29iJaF+HzxxhDIpHAdV02b95MMpkkm83uU50tIiIiIiKydxSCSNvNzMwQCoVIr15N7Ic/JH/llbiHHQbMzQHJZDILcg6I4zgUi0UKhQLWWqLRKMlksttlSZuFQiFCoRC1Wo3169eTzWbp7e3t+MBWERERERHpPoUg0lau6zI7O0vff/83PVddReUv/5LKu94FPDUHpL+/v8tVPsX3fcrlMvl8nlqtRiAQIBaL6YL4ANAcnDo1NUWhUGB4eJh4PN7tskREREREpIMUgkhblUolQtPT9J9zDt7SpRQ+/vHWHBBrLcPDwwsiYKjX65RKJfL5PL7vE4lE1PVxAGoOTm00GmzcuJF0Ok02m9XKZhERERGR/ZT+0pe2sdaSn55m9L3vJVAoMPm1r2FTKay11Go1xsbGujoHxPd9qtUq+XyeSqVCIBAgGo0uiFBGuiscDhMKhahUKqxfv57BwUF6eno0s0VEREREZD+jEETaplarEfvnfyb27/9O/hOfwH3xi4G5OSD9/f2kUqmu1NVoNJidnSWXy+F5HuFwWF0f8gzGmNYRmYmJCQqFAoODg8RisW6XJiIiIiIibaIQRNomn8/Te+edeKOjVFauBOaGjcZisXmfA2KtpVqtUigUmJ2dVdeH7LbmEZl6vc7GjRvJZDJkMhmCwWC3SxMRERERkb2kEETawnVdqr//PSM/+hGz55wDwSCe5+H7PiMjI/MWPjQHs+ZyOVzXJRQKkUgkdKxBnrNIJEI4HCafz1MsFhkcHCSVSulnSURERERkH6YQRNpidnaW3m9/G+P7VE44odWJMR9zQJozR4rFIsViEWMM0WiUaDTa0ceV/Z8xhkQigeu6jI+Pk0wmyWazRCKRbpcmIiIiIiJ7QCGI7DVrLbmZGRbfeSfO4YfjLVtGtVIhk8l0dA6I53mUy2VmZmZoNBoEg0F1fUhHhEIhQqEQtVqN9evXk81m6e3t1fEqEREREZF9jEIQ2Wu1Wo3QT35C+PHHyZ1/PvV6nWg0ysDAQEcez3EcisUihUIBay3RaFSDTmVeNAenTk1NUSgUGBoaIpFIdLssERERERHZTQpBZK/l83n67roLP5Wi9pa34Louw8PDbX2W3Pd9yuUyuVwOx3EIBoPE43F1fci8aw5ObTQabNq0iXQ6TTabJRTSf05FRERERBY6/dUue8V1Xcrj4wzffTfV44/HjUYJum7b1orW6/VW14fv+0QiEXV9yIIQDocJhUJUKpXWEZl0Oq1gTkRERERkAVMIIntldnaWnu99j0C1SuXEE6nX6/T39+/VhaDv+1SrVXK5HNVqlWAwqPW2gu/D5s0BHnsstM1LkPXrQ7zgBS4XXVTkkEO8ea3JGNM6IrNly5bWFpl2hYAiIiIiItJeCkFkj1lryeVyjN15J41DD6XxilfgVyp73KnRaDQolUrk83l83ycUCqnr4wDj+zA+HuDxx58edDz2WIj160PUak+Fa9GoZelSl8WLPe69N8rddw+xcmWFCy4oMTrqz2vdzSMy9XqdjRs30tfXR39/P8FgcF7rEBERERGRXVMIInusVqth/ud/iD74IIX3v5/G1mMwz2V9aHOVbj6fp1wuEwgEFlzXR6MBoRDolEN7WAsTE3MdHXNhR/BpgUet9tS/+0jEcvDBLsuWubzudQ7LlrksXeryvOd5jI56NH9MpqYCXHNNiptvTnLnnXFOO63MWWfN0ttr5/Vri0QihMNhCoUCpVKJwcFBUqmUjsiIiIiIiCwQxtr5vUjolOXLl9sHHnig22UcUMbHx4ldfjm9N97IxIMPUkokGB4eJp1OP+vnuq7b6vpwXZdwOEw4HF5QF4uPPBLkC19IsWZNAt+HgQGfwUGPwUGfbHbu9bl/+mSzT72eyfgc6A0A1sLkZOBpnRzNl8cfD1KpPBV0hMOWgw5yWbbMY9kyd5sXj7Ex7zl9L9evD/LJT/bwzW/G6e21nHNOiVNOKROPd+CLfBae51GtVkkmkwwODj6ncFBERERERPaOMeZBa+3yZ9yuEET2hOu6PPa//8vzXvc66q94BTM33ki1WmXZsmU7PQJgraVWq7WeJTfGEI1GF9yRgYceCrN6dYp//ucYkQi87W0VMhmfqakgk5MBpqYCTE4GmZoK0Gg8M7QJBCwDA88MSrYPTQYHfQYGfPbVpSLWwvT0XNDx6KPBp3V2PP54iNnZp4KOUMiyZMlTIcfznjcXcixd6rJokdf278HDD4e48so0994bY3TU46KLirz97dWufK9rtRqe5zEwMEBfX9+C6nISEREREdlf7SwE2Ucvv6TbZmdnSf7oRwQnJ6msXEm9XieZTO4w0PA8j9nZWXK5HI1Gg1AoRCKRWFBdH9bCffdFWb06xbp1UXp7fc49d5ZTTy0zOLjj+RLWQqFgWuHIXEDyzKDk0UdDTE0FnzbPYluZzI67S3bUaRKNdvK7sOOvMZcLtEKObbs5HnssRKn01AV9MPhU0PHqV1ee1tmxeHH7g45declLXG65ZYYf/zjCxz6W5sILM1x/fYr3va/EkUfW5vVoU3Nw6szMDMVikaGhIRKJxPwVICIiIiIiLeoEkefMWsvjjz/O8KpVRH/+cyZ+9jPK9TqLFi1qXdxZa3Ech2KxSLFYBObmJYQWWNtDowFr18a57roUv/lNmNFRj9NPn+WkkyqkUu373bAWymXztKBkZ6HJ5GSAcnnH3QLp9I6P4syFJk9/PR7f/fpzOfOMrSvNzo5C4alaAgHL4sVe67jKtsdXlizxCIf3+lvVdtbCP/9zjCuuSPPooyGWL69z6aVFXvOa+rzX4routVqNdDpNNptdcL8PIiIiIiL7Cx2HkbapVqts/q//YtkRR1D+u78jf+ml1Ot1li5dSiAQwHEcJiYmcByntd52IXV9wFwgceutCW64IckTT4R44QsbrFo1y3HHVVkIoxuqVdMKSqan5wKSHYUlU1PBp4UU20om5wKTHYUmMzNPXzWbzz91H8ZYFi3ydjCjw+Wgg7wF8f3ZE64Lt9+e4NOf7mF8PMgb31jjfe8r8gd/4M5rHc2A0FpLNpslnU4vuN8PEREREZF9nUIQaZvx8XHCn/scAx/7GFt++ENKixfT29tLNpsF4IknnsBxHGKxWJcrfaapqQBf/nKSr3wlST4f4DWvcTjrrFne8AaHfXVUg+PMfV076irZPjTJ5QJYazDGMjbmsXTpM+d0HHSQO+/HbuZTtWq46aYk116bolQyvO1tVd773hKLF3vzWofv+1SrVaLRKENDQwvy90VEREREZF+lEETawnVdHnv0UZa+9a3Ynh6m1q6lUqmwZMkSotEo9XqdDRs2LLiZB+vXz216uf32BI4DRx9d48wzZ1m+vNHt0uaV68LMTICeHr8rG1MWklzO8PnP93DTTUmshZNPLvOe98zS37/jGTCdUq/XaTQa9PX10d/fv+AGBYuIiIiI7It2FoLso899S7eUy2Viv/gF4f/9XyorV+K6LqFQqLX+s7n1ZaH4xS/CrFqV4U//dIhbb01w/PEVfvjDLXzpS7kDLgABCIVgaEgBCEAmY7nssiI/+tEExx9f4cYbk/zJnwzx2c+mqFTm72c4EomQSCQoFousX7+eUqnE/hJOi4iIiIgsNApBZLdZa8nlcvR985v48TjVt76Ver1OJpPBGIPv++TzeaJdPkthLdx/f5QTTxzgzW8e5L77oqxaNcu6dRNcdVWBQw6Z32MPsrAtWuTzqU8V+MEPJvmTP3G46qo0K1YM8dWvJmjMU05mjCEejxMOh9m8eTObN2+mMV8PLiIiIiJyAFEIIrutVqvhFosk166ldswx+KkU1trW0ZdyuYzv+wS6NFzDdeHb345x9NFZ3vnOAX73uxCXXVbgpz+d4NJLS4yMzO8xB9m3vOAFLjfdlONb35pk2TKXSy/t43WvG2Lt2hj+PP3oBINBUqkUtVqNDRs2MDs7Oz8PLCIiIiJygFAIIrutWCyS/pd/ITA7S2XlShqNBolEgvDWvai5XK51LGY+VauGr3wlwWtfO8RZZ/VTqxk+9akc69ZNsGpVmXRaRwtk973qVQ3uvHOar351mljMsmpVP295S5b775+/n+1YLEYkEuHJJ59kcnISf75SGBERERGR/ZxCENktrutSKpXovfNO3KVLqb/mNa1hjjDXJeI4TisQmQ8zM4bPfCbFq189xD/8Qx+Dgz433TTDffdNsnJldb/ecCKdZQz8+Z873HPPJJ/9bI7p6QDvfGeWd76zn1/+cn5+xoPBIMlkkkKhwKZNm6jX6/PyuCIiIiIi+zOFILJbyuUyofXria5bR+XEE7HMzTForvUsFovzttVi48Yg739/mle/ephPfjLNK1/Z4JvfnGLt2imOOqq2z666lYUnGIR3vKPK/fdv4fLLC/zyl2GOPnqQVasyPPZY53/ejTEkEgl832f9+vUUi0UNTRURERER2QuhbhcgC19zIGrm29/GBgJU3v52HMehp6eHYDCI53kUi0XiHV458vDDIa67LsXatXGMgeOPr3LmmbO88IVuRx9XJBaD008vs3JlheuvT3HDDUnuvnuIv/qrCuefX2JoqLPHVSKRCKFQiPHxcSqVCoODg1qlKyIiIiKyB/ScuTyrWq2G6zik1qzBed3r8MfG8DyPdDoN0Bre2InVuNbCf/xHhL/6q36OPHKIe+6JcdppZdatm+Azn8krAJF5lU5bLr64xH/8xxZOOqnCP/1TghUrhvjEJ3oolTq7VjcQCJBMJimXy2zcuJFardbRxxMRERER2R8pBJFnVSwWSa5bR3DzZionnojneYRCIWKxGNZaZmZm2j4Q1fPgO9+JccwxWU44IcvDD4e55JIiP/3pBB/4QJGxMQ2KlO4ZHva54ooC9923hTe+0eHqq3v4kz8Z4otfTOI4nXvc5ipdYwwbNmwgl8vpeIyIiIiIyHOgEER2qTUQ9a678DIZam96E/V6nd7eXowxc10irkso1J6TVdUq3HxzgiOOGOKMM/rJ5wN8/ON5fvKTCc49d5a+Pl3wycLxvOd5XH99jrvvnuQlL3H54Ad7OeKIIdasieN5nXvccDhMIpFgamqKzZs347rqiBIRERER2R0KQWSXyuUygVyO+Pe/T/X44yEaxfd9UqkUAPl8vi0BSD5vuPrqFH/8x8O873199PX53HDDDPffv4V3vavC1vmrIgvSS1/a4Lbbprn11mkyGZ/zzstw1FGD/Ou/RulUo0bzeIzjOGzYsIFKpdKZBxIRERER2Y9oMKrsVHMgat/dd2PqdSonnojrukSjUSKRCI1Gg9nZWRKJxB4/xhNPBPjSl1L80z8lKJcDvP71Nc46K8fhh9fpwIiR58xai+M4+L6PMYZQKEQwGCSgFTSyA0cc4fCnf+rw//5fjE98Is3JJw/wx3/scOmlRV75ykZHHjMajeK6Lk888QSZTIb+/n79fIqIiIiI7IRCENkpx3FoNBr03HEH9T/6I9yXvIR6pcLQ0BAApVKJQCCwRwNRf/vbuU0v3/pWHGvhuOOqrFo1y4tfvDDa+pvhR3MAbCqVol6vU61WqVarT5vDEAwGWy+dGA4rO2atxfM8XNf+GnPnAAAgAElEQVTFWks0Gl0QF/+BABx3XI03v7nG17+e4LOf7eHYYwc5+ugql1xS4tBD2/8z3gzncrkc1WqV4eHhts/pERERERHZHygEkZ0qFArEf/tbwg8/TP6jH21d+CcSCXzfJ5/PE41Gd/v+rIWf/jTC5z+f4gc/iBGP+5x8cpnTTy+zeHEHByg8R83wJ51Ok8lkWl9jMpkkk8kAc7NSXNelXq9Tq9Wo1WpUq9XWfRhjCAaDhEKhBXFhvi/zfR/P8/A8D99/aiCuMYZoNEpPTw/GGAqFAr7vE4vFFsT62EgETjmlwjveUeWGG5Jcf32KN7whxoknVvi//7fU9uG+xpinHY8ZHh6mp6enrY8hIiIiIrKvUwgiO9QciDpy113YaJTqccdRr9dJJpOEQiHK5TKe5+3WBb7vwz33xPj851P8/OcR+vs9LrqoyMknl+nvXziDTuv1Oo1Gg2QyydjY2C4DnlAo1NqQ01wV7Ps+ruvSaDRaXSPNbpImdY3sXDPo2H7IZzAYJBqNkkqliEajre/99t/DTCZDuVxmenoax3EIh8OEw+H5/jKeIZm0XHDBLO9+d4Vrrklx881JvvnNBH/zN2XOPrtEJtPe34FoNIrneWzevJlqtcrAwMCCCIVERERERBYCs7+sV1y+fLl94IEHul3GfqNYLDK5cSPL/vRPqf3Zn5FfvZpKpcLY2BiJRIKNGzfi+/4uLzIdB+66K8F11yV55JEwBx3kcsYZs5x4YpV4fOH83DXDj0QiwcDAALE2T2HdtmvEcRyq1Sr1er31/gOpa6R5hKXZ1bHtf3+aoVJz5sy2YcdzfYxyuczMzAy1Wo1IJLKgjoZs3Bjkqqt6uOuuOOm05eyzZzn11Fni8fY+jrWWarVKKBRidHT0OXVtiYiIiIjs64wxD1prl29/uzpB5BmstczMzND7wx8SyOeprlzZGgwai8VwHIdarUYymdzh5xeLhq99LcmXvpRkYiLIYYfVWb16hre8pUabNum2RbNjIxaLMTw8TCwW60h3xrZdI03WWhqNxjO6RlzXbdUQCAR22PGwL9jZERaY61RIJpNEo1HC4XDr+9OuAMgYQyqVIplMUqvVmJmZoVwutzpKuv29XLLE45pr8px55ixXXJHmYx9Lc9NNSS68sMQJJ1Ta9jtijCGRSFCv19mwYQODg4Ot1dYiIiIiIgcqdYLIM9RqNTZu3MiS008n9LvfsWXdOqr1Oul0msHBQSYnJykWi8R38NT1I48EOfbYQfL5AEccUWPVqlle+9qFsemlyXVdHMchGo2SzWaJx+ML5sLQ87xWMLJ914i1lkAgsKC6RppHgJphhzGmVWc0Gm11djTDjm4FOo7jkM/nKRaLrdoWwvcP4Cc/ifDRj6b5+c8jHHJIg0suKXH00bW2/s74vk+1WiWVSjE4ONiWtdYiIiIiIguZOkFktxUKBSITE0T/7d+YPf98CAbxfZ+enh48z6NQKOz0yMiNN6aoVg133z3JS1/amZWge6p5JKV5PCCZTC6Y8KOpOS9kR10jzfBmvrtGtj3C4nke1tpW2BEOh1thx94cYem0aDTK8PAw/f39FAoFCoVCa6NMt2v94z+us3btFN//fowrrujhtNP6Ofxwh6uvzrFoUXuGpwYCAZLJJNVqlQ0bNjA6OrrDEFNEREREZH/X0RDEGHM0cDUQBL5krb1yu/d/Bnj91jcTwJC1tm/r+zzgl1vft8Fae2wna5U5nudRKpUYWrsWYy2VE07Add3WxW6pVGo907+92VnDmjVx3vrW6oIKQDzPo1arEQqFGB4eJpVKLbjwY1eMMa25FolEorWhZvuukW031DSDiudy1GTblbPbb2EJh8MkEglisVhHjrDMl3A4TDabJZPJUCqVWnNDmgNXu8UYOProGn/+5zVuuy3Bhz+c5sgjh/j0p/McdVStbY8Ti8VwXZeNGze2vg/70u+CiIiIiMje6thf/caYIPB54E3AJuBnxpi11tpfNz/GWnvBNh9/LvDybe6iaq19Wafqkx0rl8vg+yS+8Q2cFSvwDjqIeqVCNpsFYGZmZqcDFu+8M065HODkk8vzWfJO7Sj82Ncu2ndlb7pGAoFAq6ujaduVs9vP69jfLpSDwSB9fX2k0+nWRplyuUw4HO7qENVQCN71rgqHH+5w1lkZTj21n1NPneWyy4q0a65pKBQikUgwPT1NpVJheHh4QWzRERERERGZD5186vPVwO+ttY8CGGNuA44Dfr2Tj38ncHkH65Fn0RyI2vPQQ4TWr6d00UWt25tDJpsrZJ/5uXDLLUn+8A/rvPzl3e0C8X2fWq1GIBBgaGiInp6e/Sr82JVn6xppNBqtf4/RaHSXK2cPBIFAgJ6eHlKpFNVqtRWGdHuI6vOf77F27RQf/WiaG29M8dOfRli9Osfzn+89+yfvhubxmFqtxoYNG1ohoYiIiIjI/q6TV4aLgI3bvL1p623PYIw5GFgG3LvNzTFjzAPGmJ8YY/6yc2VKk+M4NBoNeu64Az+dpvrmN1Ov14nH44TDYQqFwk7nJ/zsZxF+85sw7353pWtDUH3fp1Kp4DgO2WyWpUuX0tvbe8AEILvS7Bjp6elhcHCQsbExBgYGSKVSxGKx/bLb47loblJZsmQJS5YsIZFIUKlUqNVqdGt4dDQKH/5wkS9/eZpNm0IcffQga9a0d45Hc5bLk08+yeTk5DM2+YiIiIiI7G8WytXhSmCNtXbbpzkP3jrJ9STgs8aY52//ScaY07cGJQ9MTk7OV637rUKhQKhSIfbd71I97jiIx2k0GvT29uK6LqVSaadHYb761QTptM9f/mV1nqt+evgxMDDA0qVL6evrU/gheyQWizEyMsLBBx9MT08P1WqVSqXStYDgyCMd7rlnC4cd1uC88zKcf34f5XL7AqtgMEgymaRQKLBp06bWNiIRERERkf1RJ68SnwCWbPP24q237chK4NZtb7DWPrH1n48CP+Tp80KaH3ODtXa5tXb54OBgO2o+YDUHovZ973sEajUqK1e2hmsmEglKpRLGmB12C0xNBfjud+O84x0VEon5e9bcWku1WqVWq5HJZDj44IPJZDJd3/Yh+4dIJMLg4CBLly5lYGAAx3Eol8u4rjvvtSxa5HPHHdOcf36JNWviHH30IL/6VftOMzZ/z33fZ/369RSLxa51wIiIiIiIdFInQ5CfAYcaY5YZYyLMBR1rt/8gY8yLgAywbpvbMsaY6NbXs8AKdj5LRNqgXJ4bZpq8/XYaL3oRjZe+FMdxWvM0crncTrtAbr01QaNhePe7K/NSq7WWWq1GpVKht7e3dZHaze0esv8KhUJkMhmWLVvG8PAwnudRLpdpNOZ39k0oBO99b4nbb5+mXDYce+wgX/lKgnZmFZFIhHg8zvj4OBMTE3hee2aQiIiIiIgsFB0LQay1LnAO8H3gN8A3rLUPG2M+bIzZdt3tSuA2+/SnHf8AeMAY89/AfcCV226VkfZqDkRNPv44kYceonLiiWAMnueRTqepVqt4nrfDDgvPg1tuSbBihcMhh3T2GfJm50elUqGnp4elS5eSzWYVfsi8CAQCpNNpli5dytjYGIFAgHK5jOM481rHihV17rlnkhUrHP7hH/o47bQMuVz7jscEAgFSqRTlcpkNGzZQq7VvRa+IiIiISLd19OrRWns3cPd2t31gu7c/uIPP+zHwh52sTZ7SHIiaXbMGGwpRfdvb8H2/NUzzySef3OkKzXvvjfLEEyEuv7zYsfqstTiO0wplMplMV9eYyoHNGEMymSSRSFCr1cjn88zOzs7rRpls1uerX53hhhuSXHFFmqOOGuTzn8/zqle1b55HfOtMoA0bNjA4OEhfX98BPTxXRERERPYPegpdKBaLBH2f+Jo11I48En9gAKdapa+vj0ajQaVS2eFaXICbb04yPOxx5JGdebbYcRxc16Wnp4f+/n6FH7JgGGOIx+PE43Ecx6FQKFAoFAgEAkSj0Y4P5g0E4Mwzy7zmNXXOPjvD2942wEUXlTjnnFna9dDhcJhgMMjU1BTVapWhoaEDtvPKdd3WiulqdW4AdDQaJRwOt1ZMh0IhAoGAwiIRERGRBezA/GtWWjzPo1gskvn3fyc4PT13FIa57otUKkWxWNzpxdz69UHuuy/KBRfMspNGkT1Wr9dpNBokk0nGxsZ2Oo9EZCGIRqMMDQ2RyWQoFovkcrnW7Z0e1Pvylzf43vcm+fu/7+PjH0/z4x9HueaaHEND7dlmEwgESCaTOI7Dhg0bGBkZIZFItOW+Fyrf92k0GjiO0zqC1xyIa4xpBUG1Wg3f91tDpJvC4TCRSKT1EgwGFZKIiIiILBAKQQ5w5XIZay3J22/HGx7Ged3rcF2XSCRCOBymUCjsNID42tcSBAJw0knlttXTDD8SiQQjIyPEYrG23bdIp4XDYQYGBujr62N2dpbp6WlqtRrRaLSjHRTptGX16hyvfa3D+9+f5k1vGuSaa/L82Z+1b15JNBrFdV2eeOIJMpkM/f39+8UaamstrutSr9dbA5cdx2ltxwmFQoRCod0OYq21+L7fClC2Xa3cDEt2FJI0u0kUkoiIiIh0lkKQA5i1llwuRzyfJ3rvvcyuWgWhEPVKhaGhoVZAsqMLnVptbivMUUfVGB3d+2ecG40G9XqdWCzG8PAw8Xh8r+9TpFuCwSC9vb309PRQLpfJ5XKUy+XWxW8nGAMnnVThla+ss2pVhpNOGuDss0u8972ltnVqNS/Uc7kc1WqV4eHhfe6Imud51Ot16vU65XKZarXaCjwCgQChUIh4PL7HQYQxptX5sSO7E5I0Q+hmSNL8viskEREREdl7CkEOYI7jUK/XGf72tzGeR+WEE7DWYq0lHo+zefPmnV7gfOc7cXK5IO9+9951gbiuS61WIxaLsWjRor26+BBZaAKBAD09PaRSKarVaisM6eQQ1Re+0OW7353i8svTfP7zPaxbF2X16hxLlrRn3W1zMGzzeMzw8DA9PT1tue922/5YS7VapdFotL7vzQ6P+exo6XRI0unjVyIiIiL7OvP0zbT7ruXLl9sHHnig22XsU7Zs2cJsqcSSo47CHxhg+pvfpF6vE41GyWQybNy4cacDUY89Nks+b/i3f5tkT67jXNfFcRzC4TCDg4MkEgmFH3JAcByHXC5HqVTq+BDVtWtjXHxxH8bAJz+Z5y1vae8AY8/zqG4dojwwMNDVC/CdHWtpvq95rGVfDwmstXieh+/7eJ7Htv8Pb3buNQOScDjcmkujkEREREQONMaYB621y7e/XZ0gByjP8ygUCvT9+teEH3mE3NlnA3PhxODgIIVCYad/LP/qVyEefDDChz5UeM4BiOd51Go1wuEwIyMjpFIphR9yQIlGo4yMjDAwMEChUCCfzwMQi8XaHoYce2yNl71skrPOynD66f389V+XufzyAu06bRYMBkkmkxSLRSqVCqOjo/M2xHhHx1qaXRPNIGB/7CzbdjDrjjRDklqt1jrSuP3nNwOSbUOS+e6IEREREekWhSAHqHJ57hhL4vbb8RMJasccg+/7raF9pVJpp3M5br45SSzm8453VHb78TzPw3EcgsEgw8PDpFIp/cEtB7RwOEw2m6Wvr49SqUQul8PzvLYPUT3oII+77priE59Ic911KR54IMJ11+U49FC3LfdvjCGRSFCv19mwYQODg4P09va2NXxoHmtpruyuVCqtYy3N4yW6iJ+zJyFJ8wjk6OioOkVERERkv6cQ5ABkrSWfzxNzXeJr11I99lhsMkm9ViOdTlOpzIUbO7qIKRYNd90V5//8nyq9vc9+lMr3farVKsFgkKGhIYUfItsJhUJkMhl6e3uZnZ1lZmaGcrlMLBZr2wVpJAKXXVZkxQqH887r481vzvKRjxQ48cTqHh1n2/FjzM2mmJycpLJ1uPKehDnNYy2NRqM1x6NWe+oYT3OTyr42kHWh2FlIUq1WGR8fZ3R0VP+NFhERkf2aQpADkOM4OI5D9nvfI1AuU125Epjr1kilUoyPj++0pX3NmgTVaoCTT951F4jv+9RqNQKBAIODg6TTaf1hLbILgUCAdDpNT08Ps7OzTExMtDoc2uX1r3e4555J3vOeDBdemOHf/z3KFVcU6Olpz2yoQCBAMpmkVquxYcMGRkdHn3XT07bHWppdHs3uhP35WMtCE4/HqVQqjI+PMzIyov9ei4iIyH5LIcgBqFQqEQwGSdx+O+7znkd9+XI8zyMUCuH7Pq7r7vDCy1q4+eYEL395nT/8w8ZO799xHHzfZ2BggHQ6rfZqkefAGENPTw/RaJSJiQkqlUpbQ4CREZ9bb53m2mtTfPKTPTz0UITVq3O89KU7/51+rmKxGK7rsnHjRgYGBujv78cYg7WWer3e6vIol8u47tyxHB1r6b5EIqEgRERERPZ7+gvnANMciJp84gmi//mfVFauBGNwHIe+vj6KxSLhcHiHn7tuXYTf/S78rGtxXddl8eLFZDIZBSAieygSibBo0SJ6e3spl8t4XntW3AIEg3DeebPceec0jmM47rgsX/xiknYuCwuFQiSTSWZmZti0aRObNm3ikUceYePGjYyPjz8VxiYSJBIJ4vE4kUhEF95d1gxCJiYmnraeV0RERGR/ob82DzDNQXiJb3wDGwxSefvbW++LRqPMzs7uNAT56leT9PX5vPWt1Z3ef6PRIBaLzduGCJH9WfM42djYWGv1azu9+tV1/uVftvCGN9T44Ad7OeWUfmZm2ve/BWMMyWQSz/PwPI94PN4KPdo580TaK5FIMDs7y5YtW56xXUZERERkX6cQ5ADSHIgaDQZJrFmD8/rX4w8P02g0iEajVKtVAoHADtvux8cDfO97MU48sbLL9Zr1ep3+/v4OfhUiB55UKsVBBx1EOBze4drTvZHJWG68Mcc//mOB+++P8qY3DbJuXXuHjjZXsmqux74jmUxSKpUUhIiIiMh+RyHIAcRxHOr1Osn/+A+C4+NU/j97dx4mV13mC/x7zqlTZ6mu3jvdTWeVTUIYEAIJ+IAgy2DEySQBkjgQdO7oKDpcfXTGjSvquF53HccZl3ES0HQCSQQUQRb3ASEIeCEg+9LpLL3U1nXq7L/7R+VUujtVnQS6qqu7v5/n6adrr9PpTtWp73nf97d2LYBicNHY2FgMSCpUcGzebML3JVx9deVWmDAMIcvyYQchEtHRU1UVPT09aGlpgWVZpVkak0GSgL//+zxuv30AhiFw5ZVt+NrXGjCJHTg0DZmmiWw2i4GBAQYhRERENGMwBJlFcrkcZFmG2duLoLUV9kUXlXZshRClEGM83wduuimB88+3sWhR5U9F0VwR9vQTVYcsy2hvb8cxxxwD3/cnvT1myRIfd945gFWrCvjqVxuxdm0b9uzh/+fZSpIkmKaJTCbDIISIiIhmDO7dzhLRQFRjZAT63XejsGYNEI+XqkByuRzi8fIl8HffrWPvXgUbNlReFjcKURobG6v1IxDRAYlEAvPmzUM8Hkc+n5/UAZYNDQLf+lYa3/hGCo89puLiiztwzz2c8TNbRUFIOp3G4OAggxAiIiKa9hiCzBKlgag7dkDyvOKqMCiGI/F4HLZtTzgQ9ZhjfFx4YeWjzp7nIZFIVHwMIppcUXtMW1vbpLfHAMAVVxTwi18MoLs7xDXXtOFTn2qE607qU9A0EQ24TafTGBoaYhBCRERE0xpDkFmgNBA1Hoe5ZQvc006D//rXl9pfPM+r2MLy3HMKfvc7DVddZSEWq/wcvu+jubm5Sj8BEZUjSRJaW1sxb968qrTHHHdcgNtvH8A73zmC73+/AStXtuOFF7iiy2wUVYQMDw9jeHh4qjeHiIiI6FVjCDILuK4Lx3Fg7NoF9cknSwNRHcdBQ0MDstksdF0ve98bb0wgFhNYv75yK0wQBFAUhQNRiaaIYRiYP38+dF2f9PYYXQc++9ksfvjDYbz8cgyXXtqBn/6U/9dno6gihEEIERERTWcMQWaBbDYLRVFg9vZC6DoKK1cCKK7mEi1ZWW7pykJBwtatJlassDFnTuUPVY7joKWlhctfEk2hWCyG7u5utLe3w7IseJ43qY9/6aU2fvnLAZx0kof3va8FH/pQEyyL/+dnm6giZHBwEKlUaqo3h4iIiOioMQSZ4aKBqPEggHHrrSisWAHR1ATf90tDFSsNRL3tNh2ZjIxrrqm8LK4QAkIINDQ0VOtHIKIjJEkSWlpaMH/+fIRhiEKhMKmP39MT4JZbhnDddTls2WJixYp2PPnkBH1yNCNFQcjAwADS6fRUbw4RERHRUWEIMsNZlgUhBBJ33w05kym1wriuC13X4XkeYhWGfWzcmMCJJ3pYtqzyNETHcZBMJis+BhHVnq7rmD9/PkzTnPT2mFgM+MhHcti8eQiZjIzLLuvApk0mOCtzdpFlGaZpYv/+/QxCiIiIaFphCDLDpVIpaJoGs7cX/rx5cM85p1S9MVEA8uijKh57LI4NG/KYqMslCAIORCWqQ4qioKurCx0dHSgUCpPeHnPuuS5++csBLF/u4GMfa8Y//mMLMhm2x8wmo4OQbDY71ZtDREREdEQYgsxgjuPAcRxoe/Yg/vvfF6tADqwGo2kaCoVCxVaYTZsSMM0Qa9ZULqf3fR+qqkLTtGr9CET0GkiShObmZsyfPx9CCBQKhUld3rSjI8SNNw7j+uszuOsuHZdc0oGHH565y2QLAeTzErJZhj2RKAjZu3cvcrncVG8OERER0WGxh2EGy2azkGUZxs03AwAKV1wBAPA8D6ZpQpKkssNMUykJt95q4PLLLSSTlT8wOY6Dzs5ODkQlqnOapmHevHkYGBhANpuFaZoVl8U+WrIMvPe9eZx1lov3va8Fq1e34yMfyeE97xnBJD3FpLNtIJORkU7LB75Lo07LyGSk0unofHS97xdf7xYt8rF0qVv6OuEEv25/3mqLgpA9e/YAAJLJ5BRvEREREVFlDEFmqGggqh6Pw9yyBc655yKYO7c0G6BQKFRcFnfrVhO2LWHDhsoDUaOVZRKJRFW2n4gml6Io6OzshGma2LdvH1RVrVgJ9mqccYaHu+4awD//czM+97lG/P73cXzzm2l0dEzePJLRPA/IZssHGAfDi7EBRnQb264c3EqSQGOjQHNziKamEE1NAj09AZqaQjQ3F7+CQMIjj6j41a803HyzCQBIJkOcfnoUinh4wxvcCUPkmUaWZRiGgb1790KSJA7LJiIiorrFEGSGigai6vffj1hfH7If/ziA4kBUTdPgum7ZI8FhCNx4YwJnnung5JP9io/vOA6ampqgKErVfgYimlySJKGxsRGapmHv3r2wLAuGYUxaNVdTk8B//mcKN93k4FOfasIll3Tgm99M4bzzyg9XDkMgm5UqVmVE58dXZWQyMkZGJi67SCTCA8GFQFNTiNe9zj8QbIhSoNHUFKKlRRwIO4qXJZMCR/qyJgTw0ksKdu6Ml76+9rUkhJAgSQKvf/3YapEFC4IJZyxNd4qiQNd19Pf3o6enhyE5ERER1SVpMvvDp9LSpUvFzp07p3oz6sbLL78MIQQ6PvhB6Pfdh71/+hOg67AsC7IsQ5blskeBf/tbDevXt+Hb305h9erK80Dy+Tzmz5/PeSBE01QYhhgcHEQ6nYZhGJMeaD75ZAzvfW8Lnn02hssuswFgTJtJVKUhROVUQNMOVmSMDzCi82OvPxh6qFM0miSXK1aJPPxwMRR5+OE4crliYNPeHpQCkTPO8HDKKS4MY2q2s5qCIIBt2zjmmGMYhBAREdGUkSTpYSHE0vGXsxJkBooGojZ4How77oC1fj2g6wiCAGEYIgzDiqXKGzeaaG0N8Na3Vg5APM+DrusMQIimMVmWMWfOHBiGgX379kFRlEn9P33SST7uuGMQn/50I+66S0cyWQwn2tqKVRnjA4zxoUZTUzgtA4JkUuC889xS9UsQAM88ExtTLXLnncUfTFUFlizxxlSLdHVVp32olqK/pf7+fsydOxfGdPxFEhER0YzFSpAZKBp+2LZ1K5o//nEM3HknvFNOQaFQgCRJEEKU3Snt75exbFknrr12BB/7WOUp//l8Hl1dXRx+RzRDuK6Lffv2wXGcSW2PofKGhmQ8/LBaCkUeeyxemlMyd64/plpk8WIPFVYyr3u+78NxHAYhRERENCVYCTJLlAai6jrMLVvgLV4Mb8kSAMUdUiFExSqQH/84ASGAq66yKj5+GIaQZZklzkQzSDweR09PD4aGhpBKparSHkMHtbWFuOQSB5dc4gAAXBfYtetgKPLAAxp++tPiwFXDCHHaad6oYMRFS8v0OHgRO5De7N69G3Pnzq04jJuIiIiolhiCzDCWVQww4k89hfhjjyHzmc8AkgTP8yCEgKIoZQeieh7wk5+YePObHcybF1R8fMdx0NzcPGnLaxJRfZBlGR0dHaX2GFmW2fJWI/E4cNppHk47zcM//ENxVa7du+XSTJGdO+P4939vQBAUq0WOO84rrUKzdKmLY4+t3+V5oyCkr6+PQQgRERHVBYYgM0wqlYKqqjC3bIGIx2GtWgWgGF4IISp+qLnzTh379yu45pp0xccWQiAMQ7bBEM1gDQ0NpdVj8vk8TNNke8wU6OkJ0dNjY+XK4lBZy5Lw2GPqmLkivb3Firzm5uLyvGecUawWecMbPCQS9VMtEovFIIQoVYQwXCMiIqKpxBBkBokGoiZUFca2bbAvuQSitRVCCPi+D0VRSkflxtu4MYF583ycf75T8fE9z4NpmmVXlSGimUNVVfT09GB4eBjDw8PQdb3iawfVhmkKnH22i7PPLg5cFQJ4/nllTLXIffc1AgBkWWDxYq9UKbJ0qYu5c6d2eV71wHI9u3fvRk9PD4MQIiIimjLcq51BstksZFmGfvfdUFIpWOvWASgOPQzDsGIZ8tNPx3D//Ro+/vEsJhoD4Hke5syZU41NJ6I6I8sy2tvbS+0xvtKsPNUAACAASURBVO+zlaGOSBJw7LEBjj22gLVri6t5pdMSHnnk4Co0N99s4L//u1gt0tkZlCpFli51sWSJh1rnEKqqjqkIYaBOREREU4EhyAwxZiBqby+Cri44550HoFghAqDikbcbbzQRjwusW1d5IGoQBIjFYpzwTzTLJBIJzJs3D/v27WN7TJ1rbha44AIHF1xQfM33feCpp2JjqkXuuKP4Gq5pAqecUqwUOftsBxde6NSkUiQej8N13dKMEAYhREREVGsMQWYIy7IghEBs3z5ov/41Rt7/fkBREIYhXNeFrutlP7jk8xJuvtnEZZcV0NYWVnx8x3HQ1tbGDz9Es1DUHpNKpTA4OMj2mGkiFgOWLPGxZImPd7yjGHLv3y+XApGdO+P4r/9K4D/+owHvetcIbrghW9MgJKoIiVpliIiIiGqBe7EzRCqVQjweh3nLLZDCENaVVwIAbNtGGIYVKzh27DCQy8nYsCFf8bGFEBBCcCAq0SwmSRJaW1thGAb27NnD9phpas6cEG95i423vKU4cNVxgM9+thHf/34DTFPgX/4lV5PtiMfjcBynNCOEQQgRERHVSp0uqkdHIxqIqsZiMHt74Zx9NoJFiwAAhUIB8XgcSplhH0IAmzYlSgP0Jnr8ZDLJI79EBMMwMH/+fOi6jnw+jzCsXEFG9U/TgM98Jou/+7s8vvnNJL797YYaPrdWmhHi+37NnpeIiIhmN4YgM0Aul4Msy4g/+CBiL74Ia+1aAIDv+3Acp2IVyMMPq3jiCRUbNuQnLIEOggBNTU3V2HQimoZisRi6u7vR3t6OQqEAz6scolL9kyTgC1/IYPVqC1/8YiN+8INEzZ5b0zSEYcgghIiIiGqGIcg0F4Yh0uk0NE2D2duLsKEB9lvfCqA4J0RV1YqD5zZuTKChIcTq1YWKj+/7PlRVZdk7EY0hSRJaWlowb948hGGIQqHy6wjVP0UBvv71NFasKOCGG5pw001mzZ5b13WEYYj+/n4GIURERFR1DEGmuXw+DyEEFMuCfvvtKKxcCWGaEEIgn89XHIg6NCTjZz8zcMUVFhIJUfHxHcdBa2srB6ISUVm6rmP+/PkwTZPtMdNcLAZ85zspvPnNNj760SbcckvtVgPTNA2+72PPnj0IgqBmz0tERESzD0OQaS6dTiMej8O4/XbIhUJpIKrjOAiCAIlE+bLmLVtMuK6Eq6+uvCyuEAKSJFV8DCIiAFAUBV1dXejo6GB7zDQXjwPf//4w3vhGFx/8YDNuv712VYC6rsPzPPT39zMIISIioqphCDKNOY4D27ahqirM3l54xx0H74wzABTnhJimCVk+9FccBMCNN5o4+2wHJ55YufTYtm00NTWVHapKRDSaJElobm7GvHnzIIRAoVCAEJWrzKh+6Trwox8NY+lSF+9/fwvuvlur4XPrcF2XFSFERERUNQxBprFoIGrs2WcR37kT1rp1gCQhDEPk83k0NJSf8v/rX2t4+eXYhMviAsV5I42NjdXYdCKaoXRdx7x585BIJNgeM42ZpsCmTcNYssTDu9/dit/+tnZBiGEYcBwHe/bs4d8PERERTTqGINNUGIbIZDLQNA3Gli0QioLCmjUAgJGRkQkHom7alMCcOQEuvdSu+Pie50HXdWha7XZ8iWhmUBQFnZ2d6OrqQqFQgOu6U71J9CokkwI33TSEY4/18c53tuCBB8q/p1SDYRiwbRt79+5lEEJERESTiiHINBUdYZWDAObNN8O+8EKEc+YAKFaIVKoCeeUVBffeq2H9egsVMhIAgOu6aG5ursamE9EsIEkSGhsbMX/+fEiShHw+D8uySl/5fL50mW3bcBwHnuchCAJ+6K0jLS0Cvb1DmDs3wIYNrfjTn9SaPbdpmrAsi0EIERERTarYVG8AvTrRQFTtV7+CMjCAwrp1AIrhheM46O7uLnu/m24yIUnA3/1d5VaYMAwhyzIHohLRa6ZpGhYsWIAwDMt+BUEA3/fh+/4hp6PhzJHofPQlyzJkWS6d5ipW1dHeHmLLliGsWdOOq65qw9atg1iypDZL2UZByL59+9DZ2Vl2zhURERHR0WAIMg05jgPHcWCaJswtWxC0t8N+85sBANlsFolEouyOouMAmzebuOQSGz09lY+qOY6D5uZm7mwS0aSJAosjJYSoGJyMD0x834fruhMOYq0UmjA4OTJdXcUgZNWqNqxf34Zt24Zwwgm1C0JGRkYgSRI6Ozv5OyMiIqLXhCHINJTL5Yo78QMD0O+5B/l/+AdAVSGEQCaTwTHHHFP2fnfcYWBoSMGGDZWXxQWKHz6SyWQ1Np2I6IhIkgRFUY5qdSohRKmdply1yejvUevNRMqFJrM5HJ47N8DWrUNYvbod69a1Ydu2QSxaVJsVXBKJROm9b86cOQxCiIiI6FVjCDLNjBmIunEjJN+HtXYtgOKcEEVRYBhG2ftu3Ghi4UIf557rVHx813VhGEbFoapERPVKkiTEYkf+tiaEqFhxMrrKZHSAEs2miAKReDw+q4KRRYuCA60xbVi7tg3btxfnhdSCaZrIZrOQJAkdHR0MQoiIiOhVYQgyzZQGokoSzC1b4J5+OvwTTgAApFIpNDU1lb3frl0xPPSQhk9+MoOJ9tc9z8OcAwNWiYhmstGzRY5UFJo4joNcLoeRkRGEYQhFUWZNIHLCCT42bx7ClVe2Y+3aYkVIV1f1B5dKkgTTNJHJZACAQQgRERG9KjN/b22GiQaiqo8+CvXpp2EdGIjqeR4cx6nYxrJpUwK6LnDllZVbYYIgQCwWq1hJQkQ020VtOqZporOzE4sWLUJPTw+SySQcxymtdjPTVzNZssTHTTcNYWBAxtq1bRgcrM3uRBSEpNNpDA4OTjgHhoiIiKgchiDTiOu6sG0bqqrC7O1FqOso/M3fAAAymQx0XS9bCp7LSdi2zcDf/E0BLS2Vdxijgag8skZEdGRkWYZpmujo6BgTiLiui3w+j0KhMGMDkdNP97Bp0zD6+hSsX9+GVKo27x2SJCGRSCCdTmNoaIhBCBERER0VhiDTSDabLQ7nKxRg3Hor7Msug0gmEYYh0uk0Wltby95v2zYDliXjmmsqL4sb9cZzICoR0asjyzIMwygFInPnzkVTUxNc14VlWTMyEFm+3MWPfpTCs8/GcNVVbcjlaheEmKaJ4eFhDA8PMwghIiKiI8YQZJoYPRBVv+MOyLlcqRWmUCgAQNk2FiGKrTB/9VcuTjvNq/j4rusimUwe1VBBIiIqT5IkGIaB9vb2UiDS3NwMz/OQz+dhWdZhV6eZLs47z8F//ucwHn9cxYYNrbCs2laEDA0NIZVK1eQ5iYiIaPpjCDJNWJZVHIgqyzB7e+EvXAh3+XIAwNDQEJqamsq2sfzxj3H85S/qhFUgAOD7fsWhqkRE9OpJkgRd19HW1oaFCxdi3rx5aGlpge/7pQqR6R6IXHKJg3/7txR27ozjne9shW3X5nmjIGRwcJBBCBERER0RhiDTRCqVQjweh/LSS9D+539gXXklIElwXReO41QMMDZtMtHUFGLlysp7pL7vQ1VV6Lperc0nIiKUD0RaW1sRBEFphojv+1O9ma/K295m4+tfT+MPf4jj3e9uhevW5nmj1piBgQEGIURERHRYDEGmgTEDUbduhZAkWFdcAaA4J0RVVaiqesj99u+XcccdBq64woJhVO6Xdl0Xra2tHIhKRFRDkiRB0zS0tLRgwYIFmD9/PlpbWxGGISzLgmVZ0y4QufzyAr7whQzuvVfH+97XglptfjSgdmBgAOl0ujZPSkRERNMSB0BMA7lcDrIsA0EAY+tWOOefj/CYY0oDUTs6OsoGGJs3m/A8CVdfPfFAVABIJBJV234iIppYFIhEoUg0TDWbzSKfz0OSJMTj8Wkxt+nqqy3YtoRPfaoJH/ygwDe/mYZcg0MuURCyf/9+eJ4H0zRLBwkY8hMREVGk/vemZrko6NA0DdrvfodYfz+yn/wkgOJAVCFE2QAjCICbbjJx7rkOjjuucq951EqjKErVfgYiIjo68Xgc8Xgczc3NcF0XhUIBmUwGlmVBCIF4PF62ArBevOtdeRQKEr70pUYYhsCXvpRBLXKIKAjJ5XLIZDIADg6pNQwDuq5DVdVpESYRERFRdXAvoM6NH4gaNjfDvuQSCCEwNDRUcUWXe+/V0N8fw6c/nZ3w8YMgQGNjY7U2n4iIXqMoEGlqaoLneaVAJKoQqdQSOdWuu24EhYKEb30rCV0X+PSnszULQkbPuBJCwPM8WJZVukxRFBiGAdM0S/++ci3KVYiIiGjKVTUEkSTpUgDfBKAA+IEQ4ovjrv86gAsOnDUBzBFCNB+47hoA1x+47rNCiI3V3NZ6lUqliqW8qRT0O+9E/uqrAU2D6ziwbRvt7e1l77dxYwJdXQEuuaTyQFTP86DrOjRNq9bmExHRJIoCj8bGxlIgErXMjL6+Xto//uVfcigUJHz/+w0wDIGPfjRXkyBktHJBURiGKBQKGBkZAVAMSjRNg2ma0HW9VGlTL/+ORERENHmqFoJIkqQA+A6AiwH0AXhIkqTbhBC7otsIIT446vb/BOANB063ArgBwFIAAsDDB+47q8a+RwNRE4kEjB//GJLrwlq7FkBxToiiKGVXdHnxRQW//rWOD384i4kqfl3XRVdXV7U2n4iIqmh0IOL7fikQiSoe6iEQkSTghhuysG0J//ZvSRiGwAc+MDJl2xORZfmQAwC+7yObzZZWmIluk0gkoGnatJnJQkRERBOr5rv5WQCeFUI8DwCSJPUCWAlgV4Xbr0cx+ACAvwZwtxBi+MB97wZwKYDNVdzeulMaiArA7O2Fe8op8E8+Gb7vI5PJoLm5uWz57o03JqAoAuvXW4dcF4labDgQlYho+ovFYkgmk0gmk6VAJJfLlWaITGUgIknA5z+fQaEg4ctfboSuC7znPZUHdk+VWCw2JuQQQsD3fQwPD5eGiMuyXGqj0TQNqqpyphYREdE0U80QpAfAK6PO9wFYVu6GkiQtALAIwH0T3LenzP3eDeDdADB//vzXvsV1ZPRA1NjjjyP++ONIf+5zAA7OCWloaDjkfoUC0Ntr4tJLbXR1hRUf33GciiEKERFNX6MDkSAIYNs2stlsqfUjFoshHo/XNBCRZeCrX03DcST86782QdcF3vGOykF9PajURuM4TilcAor/nolEAoZhlG7P91YiIqL6VS91nesA3CKEqLyMSRlCiO8B+B4ALF26VFRjw6ZKoVA4OBB1yxYITUNh5UoIIZDNZks9y+P97GcG0mkZ11wz8VG2MAyRTCartflERFQHFEVBIpFAIpEYE4hEM0QURalZIBKLAd/+dgqOA3ziE80wDIG1awtVf97JJMvyIe+9QRCMWY0GAHRdL61GE7XRcL4IERFRfahmCLIbwLxR5+ceuKycdQDeN+6+54+7768ncdvqXjQQFbYNc/t2FC69FKKlBY5tw7ZtdHR0lN2h2rgxgeOO83DOOW7Fx3ZdtzQRn4iIZofRgUgYhrBtG7lcDrlcrrSMbLWpKvDd76bwzndK+PCHm6HrAitXVh7gPR0oijKmJUYIgSAIkE6nEYbFisyojSaRSJRWo2EbDRER0dSoZgjyEIDjJUlahGKosQ7A28ffSJKk1wNoAXD/qIvvAvB5SZJaDpy/BMDHqritdcV1XRQKBSQSCei33QY5nUZh3ToAQDabhaIoME3zkPv9+c8qHnkkjs98JjPh9H3P8zBnzpxqbT4REdU5WZZhmiZM00R7ezv27NkD27bLDtuebLoO/Nd/pXDVVa34p39qgaalcOml0zsIGU2SpEPmi4RhCNd1S0NrhRCIxWIwTROGYZTmi7CNhoiIqPqqFoIIIXxJkt6PYqChAPgvIcQTkiR9BsBOIcRtB266DkCviJpri/cdliTpX1EMUgDgM9GQ1NlgzEDULVvg9/TAeeMb4Xke8vl8qe94vE2bTBhGiMsvr9xnHQQBFEWpyRE/IiKqf4qioLu7G/39/XAcpybLphuGwMaNw1i3rg3vfW8LfvSjYZx/vlP1550qURvN6ArMIAhgWRay2WypsjMej5eCkXpY3YeIiGgmkkZlD9Pa0qVLxc6dO6d6M16zMAzxwgsvFAei7tmDzmXLMPKBDyD34Q8jnU5jaGgIXV1dh6zqkslIOP30TqxeXcCXv5yp8OjFoaptbW1oaWmpeBsiIpp9fN9HX18fwjCsSUUIAKTTEq68sh3PPRfDjTcOTdjKOdNFbTS+7yMIAkiSVGpT0jQN4/fXovPlLq9023K3P5L7VHq+V/u45dqDWAVDRESTTZKkh4UQS8dfXi+DUemAMQNRb74ZkhCwrrwSYRgil8shFouV3Tm9+WYTti1jw4bKVSDRzggHohIR0XixWAw9PT3o6+uD67o1mRvV3CywefMQLr+8Dddc04rNm4ewdKlX9eetR+XaaIQQ8DwPtl2+XahclciRVI68lvuNv93h7lfueiEEHMcpDegFAE3TSlUw0TBZIiKiauA7TJ0pDUQNQ5hbt8I55xwE8+ejkM/D8zw0NjYeMkxNiGIrzOmnuzjllMo7j67roqGhgTsWRERUlqqqNQ9C2tpC9PYOYfXqdlx9dRu2bh2a8L1sNim3TO9MIEnSmPag0cNkh4eHIUlSaf5ZNMi91ss6ExHRzMXawzoSDUSNx+OIP/AAYi+9BGvdOgghSnNCxrfBAMAf/hDHc8+p2LBh4mVxfd9Hc3NztTafiIhmgHg8jp6eHoRhCM+rTRjR2Rli69YhNDaGWL++FU89xbB+NomqYKIWGdM0oaoqLMvCvn378Morr+D555/H7t27kUqlUCgUEATBVG82ERFNUwxB6siYgai9vQiTSdgrVpRKYSu1wmzcmEBzc4i3va1Q8bF934eqqjXr8yYioulL0zT09PTA8zz4vl+T5+zpCbBlyxA0DVi3rg3PPcclZGczWZZLLTKmaULXdfi+j6GhIezevRvPP/88XnrpJQwMDCCfz8N13bJzSYiIiMZjCFInwjBEOp2GpmmQslnoP/85CitXQhgGRkZGEIYhEonEIaWge/bIuOsuHevXW5go33BdF62trSwlJSKiIxIFIY7j1CwIWbiwGISEIbB2bTtefplBCBVFrUFRKJJIJCDLMnK5HPr7+/Hyyy/j+eefx549e5DJZGDbNsIwnOrNJiKiOsQQpE6MHohq3HYbZNuGtW4dgiBAPp9HLBYr2wqzebOJIJBw1VWVW2GiIyPl7k9ERFSJYRilIKRW7QfHHeejt3cIhYKEtWvb0N/PXRUqT1EU6LpeaqHRNA2O42BwcBB9fX147rnn8Morr2BoaAiWZdWsvYuIiOob9yzqRDqdLg0+M3t74Z14IrzTTiuFI+UGo3ke8OMfJ3DBBTYWLqy8c+o4Dpqamg4ZqEpERHQ4pmmiu7u7pkfWFy/28eMfD2F4WMbate0YGODuCh2eLMuIx+MwDKNUMSKEQDqdxu7du/HSSy/hhRdewL59+5DNZuE4DltoiIhmIe5V1AHXdWFZVnFJuL/8BfFHHoG1di0EgGw2CwBoaGg4pJXll7/UsXevctiBqEEQoLGxsVqbT0REM1xDQwO6urpgWVbNgpDTTvNw443D2LNHxrp1bRgeZjsnHZ0jGbj63HPPoa+vjwNXiYhmEY5frwP5fP7gQNQtWyBiMRTWrCn1YcuyDMMwDrnfpk0J9PT4uPBCp+Jje54HTdOgaVrVtp+IiGa+ZDKJMAyxb98+mKZZet+qprPOcvGjHw3jmmva8Pa3t2HLliE0NfHIPb160cDVaL9ICFEauBqdV1UViUQChmEgHo9DVVXOVCMimkFYCVIHgiAovrl6HoxbboF98cUI29uRy+UAFIfTxWJj86pnn43h97/XcNVVFibqcnFdFy0tLdXcfCIimiWamprQ0dEBy7Jq1kZw7rkuvv/9YTz1lIqrr25DPs8PozR5yg1cVRQFuVwOe/bsKQ1c7e/vLw1cZbUIEdH0xkqQOqLfey+UoSFYa9fC930UCsUlbxsaGg657aZNJlRVYP16q+LjRYNWORCViIgmS0tLC4QQGBwcLLtqWTVceKGD73wnhfe+twXveEcrNm0aQpkCSaJJoSjKmDlqQgi4rotCoQAhBIQQ0DQNiUQCuq4jHo9DkqQxXwBYPUJVEbUk1qIaj2Y3x3GQyWQghEBnZ+dUb86kYghSR8zeXgRz5sC54ALk8/nSm6c+bu1by5Jw880mVqwooKOjcm92NBCVL5JERDSZWlpaEIYhhoeHaxaEvPWtNr7xjTSuu64Z73pXK374w2Gw05NqQZIkxOPxMZf5vo9MJoPh4eHS378Q4pDTkiRBluWypytdV+n20ba8mvM0fYRhiCAIEAQBfN+H53lwXRee58FxHIRhCEmSoCgKNE1DPB4vzhWMxRCLxQ4J8YiOhhAClmVheHgYtm0DOPSz6EzAEKROKPv3Q7vvPoy85z0ID6x7DxSXtR0fYtx6q4FsVsY111SuAgGKL6IciEpERJNNkiS0tbUhDENkMhmYplmTD1qrVxfgOBI+/OFmvO99Lfjud1MYt3AaUU1EHzgnErWMjf4+/mui20WnR//fGn/+cI40jBkfwiiKAlVVS6dHf6fXplzIEQUdrusebJM/YPTvRNO00u8gDEN4nld25S5JkkoBSdRWPzogYTBG4/m+j5GREaRSKfi+X5qN5Pv+VG9aVTAEqRMNO3ZACgJYV14J27ZLb37jW1mEADZuNPH613s46yy34uO5rgvTNA85ckFERDQZJElCR0cHhBDIZrM1a71cv95CoSDh//yfJnzgAwLf+lZ6wtlYRFOlntpixgcrEwUxQgiEYVg2gJFlGbFYDKqqjvk+PiiJApXZaHTIEQRBqYoj+u77/iH/NlE4EY/Hjzhoiv6d1TJJcBiGCMMQ+Xy+tNLkaFH1iKZpY36HsVhs1v7eZivHcZDNZkttL7quz4oFNRiC1AMhkNy2Dc6ZZyI47jjk9u2DoigQQhwSYjz6qIr/9//i+Pzn05joNcrzPHR0dFR5w4mIaDaLgpBoZ9s0zZo879//fR62LeFzn2uEpgFf+UoaPEBNVNlktcVEAcno1ozxQ5Kj8CSqPhgdlsRisUOqS6bbh+7DhRzlBudGIYeqqjX5gBkFJOWqlYQQCIIAtm0jn88f8vuLxWKlgCRqs4kCElYCzQxCCBQKBaRSKViWVVqJdLr9X3wtGILUgdjOnYg/9xxS114L13XhOA5kWUYymTzkj3HjxgQSiRBr1hQqPl4QBFAUpWY7o0RENHvJsozOzk7s3bsXlmXV7L3n2mtHYFkSvv71JAxD4LOfzUx4cICIXrtoFsXhZk6MriixbRuWZVWsLhkflqiqWnqO8dUltTA+5PB9H47jlA05op+n1iHHaxEFVJVEwc74NpvodxX9jNHy0aMDktn0IXo6CoIAIyMjGB4eHtPyMhsxBKkD+k9+gtA0YV92GfL5PGRZhhDikB3J4WEJt91mYO1aCw0NlZcmdBwHbW1tfCEiIqKaiIKQPXv2oFAowKjR0i0f+lAOhYKE//iPBui6wPXXZxmEENWB0XNGDidq3XAcB4VC4ZD5FqMf80hacY4koPF9/6hDjqj1pN5DjtdqopArCohyudwhVUDRAGG22dQf13WRyWSQyWQAAJqmzfi/48NhCDLV8nnEd+xAfsUK+IaBkVSq9EIxvsdv61YTjiNhw4Z8xYeLkvdyy+oSERFVi6Io6O7uRn9/P2zbrsk0eUkCrr8+WwpCTFPgQx/KVf15iWjyHGmVR6VWnHLDYse34UQhC0OO12aiOSQTtdkIIaCqKttsaqhcy4uu6/y3PoAhyFS75RbI+TyyV1yBQqHY4uL7PlpaWsbcLAyBG29M4KyzHJx0UuUpva7roqGhoeyLExERUTVFQcju3btrGoR89rMZ2LaEr30tCV0XeN/7Rqr+vERUW0fTihNVLHiehzAMx3x4Z8hRHRO12US/k0ptNvF4HA0NDTBNc8wKOHT0giBAPp/H8PAwPM+b1S0vE2EIMtXe9Cbkb7gB9umnI5fJQFVVeJ53SCnxb3+r4cUXY/jnf574CJfv+2hubq7mFhMREVUUi8VwzDHHYPfu3XAcp0ZDAIEvfzkN2wY+//lGfOMbDWhtDdHWFqK1NRxzeuz3AK2tIZqaBAerEs0QRxqWUO0c7nfi+z7S6TRSqRQAwDRNNDQ0QNd1qKrKVpoj4Loustks0uk0hBDQNI3hxwQYgky1hQtReP/74Q4MlNI6XdcPeZHYtMlEe3uAt7yl8kDUaMBNLY68ERERVaKqKnp6evDKK6/Add2aLNeuKMA3v5nGWWe5ePHFGIaH5dLXM8/EMDQko1Aon3QoikBLS+XQpK0tOOR6HkwmIpocUfsSUKwMcV0X+/btK4UnDQ0NSCQS0DSN4dYoQgjYto10Oo2RkRG2vBwFhiB1YmRkBIqilK3k2L1bwd1367j22pEJd7pc10VHRwfTUiIimnKqqmLu3Lno6+srhfzVf07gHe+wKl5fKEilYGRo6OD36HT09Ze/FEOUVEqGEOXfU5PJg4HIwbAkOn0wNIkuSybFjB3aKgTgOIDrSnBdCY4jlc47TvEy2z54/QkneDj22EOXESUiGj1gFSgOY83lcmOGeiaTSRiGgXg8Pis/94RhWFrlxfM8xGIxmKY5K/8tXi2GIHXA933Yto2GhgZ4nndIJcdNN5kQArj66so7dtHwIQ5EJSKiehGPx9HT04O+vr7DLstYC4Yh0NMToKfnyD6ABwGQTh8+NNm3T8aTT8YwPKzAtsvvhKqqKBOaBBWDlJaWEBPlRkIAnodSyOA4o08fGkKMvr7c7V0XB+538PqDj1W8fvz50Y93tE47zcWqVQWsXFlAR0f51UCIiKLqBuDgyj5DQ0OlWS+jq0Rm+kxEz/NKLS9hGLLl5TVgCFIHLMuCJEnwfR+J1/MlEgAAIABJREFURGJMiue6wE9+YuKiixzMnVt5p81xHDQ2NrJEjIiI6oqmaaXWGABTHoQcDUVBKZg4/vjD314IwLKksqFJKjX6MgWPP65ieFhDOl25bLmpqRiGSFK5SovJOeInSQKaJqBpgKYJxOMC8TgOXFY8b5oCzc1i1GVAPD72fHTb6LGi08XvB6+PxYD7749j+3YDN9zQhM98phHnnedg1aoCLr3URiIhDr/RRDQrRatnRmFHGIawLAvZbBYAZuSA1XItLzPlZ5tK02dPZAYLggCSJCEMw0PSvF/8QsfgoIING9KHfYzGxsZqbiYREdGrout6qTUm6vGeiSQJSCQEEokA8+YdWbWJ5xWrTUaHJuNbdiQJRxw8xOMCun5oUDH6+tHnYzHUvE3nr/7Kwz/+Yx5PPx3D9u0GduwwcN11LTCMEG95i43Vqws491wH0ygvI6IpEAUC0QDumTRgNQxD5PN5pFIpOI7DlpdJJo1ew3k6W7p0qdi5c+dUb8ar8swzz2Dv3r0wDAPd3d1j/rjXrGlDf7+CP/xhf8XJ9Z7nQZIkzJs3j/8xiIiobuXzeezevRuGYczYIISOXhgCDz0Ux7ZtBn7+cwPptIz29gArVxawenUBp57qzdh5KkRUHUIIeJ5X+pw0XQasep6HXC6HVCpVanmZygpK3/dLnzOnI0mSHhZCLB1/OTP2OuH7PpLJ5JgQ46mnYnjgAQ3XX5+ZcOk+13XR1dXFAISIiOpaIpFAd3c39uzZA9M0Wc5LAIpLHC9b5mLZMhf/+q8Z/OpXOrZtM3DTTQn88IcNWLTIx5o1FlatKmDhQg5UJaLDO5IBq1HrzFQPWBVCwHEcpNNp5HI5trzUAEOQOjF66E/kxhsT0DSBtWsrL4sbDQXiUBwiIpoOkskkhBDYu3cvgxA6hKYBl15q49JLbWQyEu64w8C2bQa++tUkvvKVRpxxhovVqy287W022to4UJWIjky5AavDw8MYHBycsgGr41teFEVhy0uNMASpE1GvWmRkRMIttxi47LICWlsrv8k7joOmpibuRBIR0bTR2NiIMAyxf/9+BiFUUVOTwPr1Ftavt7B7t4xbbzWxfbuBT3yiGTfcIHD++Q5Wr7ZwySUODGNmtHcTUfUdbsCqqqpIJpNVG7Dq+36p5SUIAsTjcR7QrjGGIHUgSh9H277dwMiIjGuuyU943zAMORCViIimnebmZoRhiMHBwUNWRiMar6cnxLXXjuDaa0ewa1cMO3YY2L7dxD33tCKRCLFihY3Vqy288Y0u6rTVn4jqVK0GrNq2jUwmg2w2C0mSoOs6DwJMEQ5GrQP79+9HLpeDYRgAikvsXXxxB2QZuOuugYrDwFzXhaqq6OnpqeHWEhERTQ4hBIaGhpBKpVgCTEctDIvL7e7YYeBnPzOQy8no7CwOVF2zxsLJJ/scqEpEr8lrHbAahiEKhQKGh4dh2zYURYGmadPm/Y6DUalqZFke8x9h5844nnxSxf/9v+kJ37w9z0NHR0cNtpCIiGjySZKEtrY2CCGQTqcZhNBRkWXgjW908cY3uvjsZzO45x4dO3YY+NGPEvje9xpwwgkeVq0qYNWqwhEvWUxENNqRDlg1DGNMuDG65SUMQ6iqypaXOsIQpA5t3GgimQyxatXEA1EVRSlVjxAREU1HkiShvb0dYRgim81yJ5FeFV0HLrvMxmWX2UilJPzsZwZ27DDwpS814ktfasSyZQ5WrSrgsssKaGmZGVXQRFR74xeziAasRotVNDQ0QJKk0nyRel6OdzZjE1KdGRyU8fOfG7jiCgumWflN2rZttLS0sI+MiIimPUmSMGfOHCSTSViWNdWbQ9NcS4vA1Vdb2L59CA88sA8f+UgWw8MyPvrRZrzhDV34X/+rBT//uQ7bnuotJaLpLhaLwTCMUnuMZVkYGRmBYRgwTZMBSJ1iJUid6e014boSNmyovBMohIAQ4pBhqkRERNNVFIREU/pN05zqTaIZYN68ANddN4J/+qcRPPFEDNu2mfjpTw3ceaeBxsYQb31rAatXF7B8uQseVyKi1yIasEr1j4NR68Dg4CCy2SxUVcc558zB/PkBbr55qOLtHceBruvo7u6u4VYSERFVXxiG6O/vh+M4bPmkqggC4A9/iGP7dhN33KEjn5fR3R1g1SoLq1cXcNJJ/lRvItEYYQj8+c8q7r5bx+OPq1iyxMOyZQ6WLvUmrBwneq04GJWq7le/0tDXF8P112cnvJ3v+2hubq7RVhEREdWOLMvo7u5Gf38/bNse03tNNBkUBTjvPBfnnefiC1+Q8Mtfati+3cT3vteAf//3JE46ycPq1QX87d9aOOaYcKo3l2Ypy5Lwu99puPtuDffeq2P/fgWyLLBgQYD77tMQhknEYgKnnOJh+XIXy5c7OPNMF01NDEWIDoeVIHUgqgR517uOweOPq3jwwX1Q1fK39X0fYRhiwYIFnKBPREQzlu/76O/vRxAELC+mmhgaknH77Tq2bzfx8MNxSJLA2We7WLPGwooVNhobZ8Y+M9Wv3btl3HOPjnvu0fGHP2hwHAnJZIjzz3dw8cU2LrjAQWtriFxOws6dcTzwQBx//GMcjz4ah+dJkCSBxYt9LF/uYNkyF8uWuWhvZ5BHR08I4KGH4vjJT3QsW+biQx9qnepNelUqVYIwBKkDg4ODeOIJCxdcMA8f+MAIPvzhXMXbWpaFjo4ONDU11XALiYiIas/3ffT19UEIwSCEaurFFxXs2GFg2zYTL7wQg6YJXHSRjTVrCrjgAhsHVsskek1Gt7ncfbeOJ54oHgVdsMDHRRfZuPhiG8uWuYf9eysUgEceKQYi99+v4eGHVdh2ccjNccdFlSIuli1zWN1EExoYkHHLLQY2bzbx3HMqEokQ739/Fl/84vTsQmAIUscGBwdx/fUx/OAHTXjggX0VX5yEECgUCli0aBEnDRMR0azgeR76+vogSRLi/ORJNSYE8NhjKrZvN/DTnxoYGlLQ3BzisssKWLOmgKVLOVCVjk6lNpelS11cfHGx4uO443y8loJv1y2GK3/8o4YHHojjoYfiyOWKf6jz5/tYtswtVYssXBi8puei6c/3gV//WsPmzSbuuUeH70s480wH69dbuPTSETQ0YMbNBGEIUgf6+gZx6qktWLbMxQ9+kKp4O9u20dDQgDlz5tRw64iIiKaW67ro6+uDLMsMQmjK+D7wu99p2L7dwC9+oaNQkDF3ro+lS10oCg58Ccjy2NPjzx96GpDlSteNvZ0kiQrPVXyMwz/eRLcrnk8kRMW2bHp1Dt/mYqO1tXqfyYIAePLJGB54oBiKPPBAHKlU8YBqV1eAZcucA8GIi+OP9xnszRIvvqigt9fEzTeb2LtXQXt7gMsvL2D9egvHHVccED1TB6MyBKkD3/1uDtdem8TmzYM47zy34u3y+TzmzZvHIXFERDTrOI6Dvr4+xGIxqPyERlMsn5dw1106duww8PzzMYRh8YNmEEgVTgNhKB34DghRv4feVVXg+ON9LFnilb4WL/aQTM6Mzwy1UKnNZeHCYpvLRRcdWZtLtQgBPPNMrDRT5IEHNOzdWwxFWlqCUiCyfLmLxYs9sAB95igUgF/8otju8j//o0GWBc4/38Hb327hoovsQwJQhiB1bjqHIGed5WFgQOB3vxusmLx6nlf6A+RAVCIimo1s20ZfXx/i8ThiMS5wR9OXEIeGI+XOh2H5IOVwp4/sPsWgJjodXTc4KOPxx1U8/riKwcGDn34XLvRx8snemHBkzhzOl4hUanM580wXF100OW0u1SIE8PLLyoFQpFgt8tJLxdfYZDLEmWe6BwatOjj1VI8zcaahxx+PYfPmBHbsMJDJyFiwwMfatRauuGLiVbBmagjCPYgp9uijwEMPqfjEJ4YmLD1zXRddXV0MQIiIaNbSdR09PT3o6+sDAAYhNG1JEhCLFb+A8Qck6+MApRDA/v0HA5Ho6+c/N0q3mTMnwJIlHk4+2SsFJAsWBLOmnWKq21wmiyQBCxYEWLCggLVrCwCA/n4ZDz6olapF7ruvEQCg6yHOOMMrzRQ5/XQPhlH/P+NslMlI2LGjWPXx+ONxaJrAihUFrFtn4ZxzZvc8I1aCTLEtW4Drrgtx550vo7OzfKwahiEcx8GiRYsgz+a/ViIiIhTbQ/v7+6HrOgeFE9VYNith166xwcgzz8Tg+8UDdQ0NYSkQicKRE07wZ0T1QBgWB+Xec0/5NpeLL7Zx1llT1+ZSTUNDMh58MF6aKfLEEyqEkKCqAqeeWgxFli93sXSpy9apKSQEcP/9cWzebOKOOwzYtoSTT/awfn0eq1YV0Nx8dL+bmVoJwhCkDuzdOwjLylac9WHbNhobG9He3l7jLSMiIqpPIyMj2LNnDwzD4AGCaUAIUfqSJIm/sxnGtoGnn1bxxBMHg5Fdu2KwrOLvOR4XOOGEKBjxS3NGGhrq/3PIdG5zqaZsVsJDDx2cKfLYYyp8X4IsCyxZ4pXmipx1lovWVrZNVdvevTK2bjWxZYuJF1+MobExxN/+bQFvf7uFU07xXvXjMgSpc9M5BBkcHEQ2WzkEyefzWLBgASfiExERjZLNZrF3716YpskP1ZNsdGgx0dfo21dq2RVCQJbl0lcYhvB9H5qmsaVpBgsC4IUXlFIwEn0fGipWb0mSwMKFwZgZIyef7KGjY+o/MM+UNpdasiwJf/pTcVne+++P45FH4rDt4mvCiSd6WL7cLa1C09U19b/jmcDzgHvv1bF5s4n77tMQhhLOPru4tO2KFfaktCkxBKlzMzUEcV0Xqqqip6dnCraMiIiovqXTaezfv3/WByGTHVpIkgRFUUrBhaIoYy4bfZ0sy5AkqVThEZ0ef37044+MjGBoaAie5yEej3PFn1lCiOIR66haJApGXnnlYBjW2RkcMoB1/vygqpUWUZvL3XcXg49ybS7LlrlcOvgoOA7w5z/HSzNFHnwwjny++Bq9cKFfmimybJlb9d/vTPPsswq2bCkubTswoKCzM8AVV1hYt87CokXBpD4XQ5A6N1NDEMuy0N3djUQiMQVbRkREVP9SqRQGBgaQSCSm1QDx8QFFGBaPjoZheEj7yJEoF1iUCy3GhxOVTlebEAL5fB7Dw8OwbRuapjEMmaUyGWlMK80TTxTnjARB8e8wmQzHDF9dssTD8cf7rymUmKjN5eKLbVx0kTMr21yqxfeBXbtU3H9/MRT54x81pNPFUKS5OcRJJxVbpKLf8/HH+9C0Kd7oOmJZEn72s2LVx4MPalAUgYsusrFunYU3v9lBtYrqGILUuZkYgoRhCNd1sXDhwll9dIuIiOhwhoaGMDQ0VPUgZHxA8WqqLaLLo9BhfMVFdDoWi5UNLSoFF9OVEAKWZWFoaAiO40BVVbYAEwqF4pyR0QNYn3wyhkLh4JyRE08c20qzeLGPRKLyZ5tybS6NjcU2l4suYptLLYUh8PTTMTz4YHHI6q5dY3+/sZjAccf5pWBk8eLi6fb22dNKIwTw6KMqNm82ceutBkZGZCxa5GP9+uLStrVYopohSJ2biSFIoVBAa2srWlpapmjLiIiIpgchBAYHB5FKpcYEIUfaJhLtD00UWkTXRxUWE1VbHEmlxXQOLqpBCIFCoYChoSEUCgXE43GGITRGEADPPx8bUzXy+OMxpFIH54y87nV+afjqkiUeEokQ993HNpfpIAiAF19UsGtXMRSJwpE9ew6uAjZnTnAgFDkYjLzudX7VKiGmwvCwhO3bTfT2mnjySRW6HuKyy2ysX29h2TK3ptVJDEHq3EwLQaKjIgsXLmRpKBER0REQQmBgYACZTAaSJFWcbVHp9OFCC1Zl1oYQArZtY3BwELZtszKEJiQE0N8v44knxq5O09d38FPx6DaXiy92cOyxbHOZToaHpVIwEn09/XQMnlf8Jep6sSooCkZOPtnDSSd5aGycPp9zwxD4/e81bN5s4s47dbiuhFNPdbF+vYWVKwtT9rMwBKlzMy0EcRwHuq6ju7t7CreMiIhoehFCIAiCGdEmMttFYcjw8DDy+TxUVYXGIQF0hFKp4pyRdFrGOec4bHOZYVwXePbZ2JiKkV27YhgePlg1Mm+eP6aVZvHi6g/ZPVq7dyvYssXAli0m+vpiaG4OsWZNccjp4sX+VG8eQ5B6N9NCkHw+j7lz58IwjCncMiIiIqKpZ9s2hoaGYFkWYrEYwxAiOoQQwL598qhQpBiMPP98DGF4cMhucQjrwXkjJ57ooZYfuVwX+OUvi0NOf/MbDUJIOPdcB+vX5/HXf22jzFoZU2amhiAzqHtq5vB9H6qqll0thoiIiGi20XUdPT09sG0bqVQKuVyuFIaw2oeIAECSgK6uEF1dDi680CldXihIeOqp0VUjMdxyi4GRkeLqm7JcnCUTtdJEVSOdneGkVo385S8xbN5sYts2A8PDCrq7A/zv/z2CtWstzJ8/uUvb0sQYgtQh13XR0dHBN3UiIiKiUaJW4dbWVgwPD2NkZASKojAMIaKKDEPgDW/w8IY3eKXLwhB45RVlTCvNn/6k4rbbDpaEtLYGOPnkg600ixcf/dLMIyMSbrvNwObNJv70pzhUVeDii228/e0WzjvPgaIc/jFo8jEEqTNRe1IikZjiLSEiIiKqT5qmobu7G47jlCpDGIYQ0ZGSZWDBggALFgRYscIuXZ7JSHjyyWh1mmL1yH//dwKOU3xdiccFjj/+YDASVY60tIxeHh3YuVNFb6+J224zYFkyjj/ewyc/mcHllxfQ1jZ7lvmtVwxB6ozjOGhsbERsJq3zRERERFQFmqahq6sLra2tSKVSyGazkGUZuq4zDCGio9bUJLB8uYvly93SZb4PPPdcrFQxsmuXil//WsPNN5ul23R3B1i82MOiRT5+8xsNzzyjwjRDrFxZwLp1Fs44w6urgayzHT9p15kgCNDY2DjVm0FEREQ0bcTjcXR2dqKlpQXpdBqZTIaVIUQ0KWIx4MQTfZx4oo9Vqw5ePjAgj5kzsmuXit/8RsOpp3r4ylfSeNvbCmhomBmLkMw0DEHqiO/70DSNE8+JiIiIXoV4PI45c+aUwpB0Os3KECKqio6OEG96k4M3vengENYwLLbaUH1jCFJHXNdFZ2cn36SJiIiIXgNVVdHR0YHm5uYxYYimaZD5CYWIqoQvL9MDQ5A6EQ1ENU3zMLckIiIioiMRhSGjK0MkSWIYQtOS67rwfR8ASqEeD54SHb2qvvpLknSpJEl/kSTpWUmSPlrhNldKkrRLkqQnJEn6yajLA0mSHj3wdVs1t7Me2LaN5uZmKFwniYiIiGhSxWIxtLe3Y+HChWhuboZt27AsC2HIVRqo/jmOg3w+D0VRcMwxx6CnpweJRAKFQgH5fB6O45QOqBLR4VWtEkSSJAXAdwBcDKAPwEOSJN0mhNg16jbHA/gYgDcKIVKSJM0Z9RAFIcRp1dq+eqMoCgeiEhEREVVRLBZDW1sbmpqakM1mkUqlIISAruusDKG6IoSA4zgIggCmaaKrq2vMbBvDMNDR0YFCoYBsNot8Pg+g+DeuqiorRIgmUM12mLMAPCuEeB4AJEnqBbASwK5Rt3kXgO8IIVIAIITYX8XtqWsNDQ2Ix+NTvRlEREREM14sFkNra2spDBkeHmYYQnVBCAHbthGGIZLJJFpaWioumiDLMhKJBBKJBIIggGVZyGazsCwLkiRBVVWoqlrjn4Co/lUzBOkB8Mqo830Alo27zQkAIEnSHwAoAD4lhLjzwHW6JEk7AfgAviiE+GkVt3VKqarKWSBERERENaYoClpaWtDY2DgmDNE0jS3KVFNhGMJxHIRhiKamJjQ3Nx/VAVJFUZBMJpFMJuH7PizLQiaTgWVZAIorJ8ViHAdJBEz9YNQYgOMBnA9gLoDfSpJ0ihAiDWCBEGK3JEmvA3CfJEn/Twjx3Og7S9L/b+/eY2S96zqOfz4zu7Ozc9mZPbvnbCmlQAAFRCh4QrEV0mip0BCoRrSFCCgGSwRBI+ItQuo/WEAuJoIoVUywYIViQ7g1KkENxV4shbZIEQ6xJ6XAqT27M2d35/b1j31m+nQ7c3ras7szO8/7lWxm5rnM+c3u7/xmns/8Ln6dpNdJ0tlnn723Jd9BtVpt3EUAAADIrHQYsra2pvvuu08bGxsqFouEIdhVvV5PGxsbkqR6va5arXbavTdmZma0sLCghYUFtdttNZvNB/UQKRQK1GucVESo3W6r1WqpWq2Ouzg7bjdDkKOSHpd6fFayLe1uSV+JiLak79j+prZCkRsj4qgkRcS3bX9R0rMlPSgEiYgPSfqQJB0+fJjZgAAAAPCo5fN51ev1QRhy7NgxwhDsim63q83NTdnW0tKSqtXqrvTUmJ2dVb1eV71eV6vVUrPZ1P3336+NjQ2WjcZDtNtttdttRYRKpZKWlpamcsTCboYgN0p6iu0naiv8uFTSK7Yd8ylJl0n6G9vL2hoe823bi5JORMRmsv18SVfuYlkBAAAASVtzLdRqNVWrVTUajUEYMjc3x5ACnJZOp6PNzU3l83ktLy+rWq3uWcBWKBRUKBRUr9e1ubmpRqOh1dVVdbtd5fN5FQoFApEM6tdJSSoWizp06JBKpdJUt3W79soiomP7DZI+r635Pq6KiNttXyHppoi4Ltl3ke07JHUlvSUijtk+T9Jf2u5paxnfd6RXlQEAAAB2Wy6X08LCgiqVyiAM2dzcJAzBI9bpdNRqtZTP57WysqJKpTK2wMG2isWiisWilpaWtLGxMQhEer2eZmZmVCgUWGFmivXrY38OpJWVFc3Pz2dmIl1Py5rShw8fjptuumncxQAAAMCU6vV6ajabOnbsmNrtNmEIHlar1VK73VahUNCBAwdUqVQmNlzoz0+ytramtbU1RcRghZlJLTNOXbfbHQQfs7OzqtVqKpfLUx182L45Ig5v306rDQAAAJyCXC6narX6oJ4hzWZzoi8Q0194pss5ansaK4o8ev3woz+8YH5+fqLribRVv0ulkkqlkpaXl7WxsaHV1VU1m83BhfMjWbEG49efe0Z6YGnwcrmc+b8jrRoAAADwCNgehCEbGxuKiJEXuPtte0So1WppfX1da2trg5Ann89rdnaWOSNOIiK0ubmpbrerUqmklZUVFYvFiQ8/hsnn8yqXyyqXy+p2uyy5u4+kl1uemZnR4uKiKpUKQ5xSqLkAAADAo2Bb8/Pz4y7GjkrPF7G4uDiYNLHRaKjRaKjX6ymXy2l2dpaL4EQ6/KhUKlpcXFSxWBx3sXZMPp9XtVpVtVpVu93W+vq67r///kFARiAyfr1eT61WazDJba1WU6VS0dzcHMHHENRWAAAAAEPNzMxoZmZG5XJZhw4d0ubm5oN6ifSPyWIvkfQ37rVaTfV6feqHGfTnCFlYWBgsuXv8+HE1m03lcjkVCgWWk94j6fAtPYnzfu19tJcIQQAAAAA8rJP1Emk2m4OLsWnvJdKfQFSS6vW6arXaVE8uOUp6yd1WqzVYYWZjY0O5XE5zc3OZC8Z2W3+4WrfblaRBD51iscjv+hGY3tYJAAAAwK5J9xLpX5ydOHFiEIpIW0MpCoXCVFygpcOPAwcOaGFhYarDnlNlW3Nzc5qbm9OBAwcGwdjq6upgeMa01IFxiAi12221221JUqVSUa1WI/g4DfyvBQAAAHBa0hfCw3qJ9Ho92R4MndlPut2uNjY2lM/ntby8rGq1ypCPEdK9hZaWlh6y5G4/EGG4xsmlgw/bKpVKOnjwoIrFInVvBxCCAAAAANhRw3qJbJ9LZNJ7CPSDnJmZGa2srKhSqUxsWSdRf+Lg+fn5wZK7x48fV6PRkPTA/CIEIg/oBx8RoVKppKWlJZVKJYKPHUYIAgAAAGDXpHuJ1Ov1Qc+KZrM5WHFG0mAukXFfFLfbbbVaLc3OzuqMM85QuVwm/DhNuVxOpVJJpVJJ3W5X6+vrWl1dHawwkz6u/2N7cDvNOp2OWq2WIkLFYlGHDh1SqVRiqNUu4jcLAAAAYM/k83mVy2WVy2UdPHhQrVZrMGxifX39QcMm9jJ8aLVaarVamp+f15lnnqlSqTT1F+DjkM/nValUVKlU1Ol01G631ev11Ol0Bo/79zc3NxURQ/8O6cCkH5bsl79XOviYm5vTwYMHVSqV9t1Qsf2KEAQAAADAWKR7idRqNXW7XW1ubqrZbGptbU3dble2d62XSH+oTqfTUalU0srKCkuM7qH+sKmT6fV66na76vV6g/vdbvchgUmn03nIuf0AZRICk263q1arpV6vp9nZWS0tLalcLk/9ssqTiBAEAAAAwETI5/ODYRPLy8sP6SUibfUAON1eIhGhzc1NdbtdVSoVLS4uqlgs7tTLwA7qBxcPJyIUEYPAJH2bDkva7fZgidnt5+90YNLr9Qa9WfL5vA4cOKBSqcTksGNGCAIAAABg4pysl0ij0VCn03nEvUTS4cfCwoLq9brm5ub24NVgt/XDilMNTPo9S4YFJv3QpB+YpIfkpO9vD0xyuZx6vd6gx0cul1O9XlelUiH4mCCEIAAAAAAm3vZeIu12W+vr62o0Gjpx4sTgAnhYL5H0N/K1Wk31ep35FzLMtvL5/CmtupIOTNLDcrYPxekHJrlcTtVqVdVqVXNzcwQfE4gQBAAAAMC+YluFQkGFQmFoL5H+cIeZmZlBj5F6va5arcaqG3hE0oHJwwVnETE4B5OLFgAAAADAvjasl8jGxoYajYZqtZoWFhZO6Vt/4HQQfuwPhCAAAAAApka6l8jCwsK4iwNgwuzdwtsAAAAAAABjRAgCAAAAAAAygRAEAAAAAABkAiEIAAAAAADIBEIQAAAAAACQCYQgAAAAAAAgEwhBAAAAAABAJhCCAAAAAACATCAEAQAAAAAAmUAIAgAAAAAAMoEQBAAAAAAAZAIhCAAAAAAAyARCEAAAAAAAkAmEIAAAAAAAIBMIQQAAAAAAQCYQggAAAADCzEbbAAAIpElEQVQAgEwgBAEAAAAAAJlACAIAAAAAADKBEAQAAAAAAGQCIQgAAAAAAMgEQhAAAAAAAJAJhCAAAAAAACATCEEAAAAAAEAmEIIAAAAAAIBMcESMuww7wvYPJH133OXAnluW9MNxFwJjRz2ARD3AA6gLkKgH2EI9QB91IXseHxEHt2+cmhAE2WT7pog4PO5yYLyoB5CoB3gAdQES9QBbqAfooy6gj+EwAAAAAAAgEwhBAAAAAABAJhCCYL/70LgLgIlAPYBEPcADqAuQqAfYQj1AH3UBkpgTBAAAAAAAZAQ9QQAAAAAAQCYQgmCi2X6c7X+1fYft222/acgxF9g+bvvW5OePx1FW7D7bR2x/Lfk73zRkv22/3/a3bN9m+znjKCd2j+0fTf1fv9X2qu03bzuGNmFK2b7K9vdtfz217YDt623fldwujjj31ckxd9l+9d6VGjttRD14p+1vJG3/tbbrI8496fsI9o8R9eDtto+m2v+LR5z7Itv/nXxe+L29KzV2w4i68PFUPThi+9YR59ImZBDDYTDRbD9G0mMi4hbbVUk3S7okIu5IHXOBpN+JiJeMqZjYI7aPSDocEUPXeE8+7LxR0sWSzpX0vog4d+9KiL1kOy/pqKRzI+K7qe0XiDZhKtl+gaSGpL+LiGck266UdF9EvCO5mFmMiLduO++ApJskHZYU2nov+YmI+L89fQHYESPqwUWS/iUiOrb/VJK214PkuCM6yfsI9o8R9eDtkhoR8a6TnJeX9E1JL5R0t6QbJV2W/myJ/WVYXdi2/92SjkfEFUP2HRFtQubQEwQTLSLuiYhbkvtrku6U9NjxlgoT7GXaegOMiLhBUj0J0jCdfkbS/6QDEEy3iPiSpPu2bX6ZpI8k9z8i6ZIhp/6spOsj4r4k+Lhe0ot2raDYVcPqQUR8ISI6ycMbJJ215wXDnhrRHpyK50r6VkR8OyJakj6mrXYE+9TJ6oJtS/pFSVfvaaEw0QhBsG/YfoKkZ0v6ypDdP2n7q7Y/a/vH9rRg2Esh6Qu2b7b9uiH7Hyvpf1OP7xah2TS7VKM/1NAmZMdKRNyT3P+epJUhx9A2ZMuvSvrsiH0P9z6C/e8NybCoq0YMj6M9yJbnS7o3Iu4asZ82IYMIQbAv2K5I+oSkN0fE6rbdt0h6fEQ8S9KfS/rUXpcPe+anIuI5kl4s6TeS7o/IINsFSS+VdM2Q3bQJGRVbY3wZ55thtv9QUkfSR0ccwvvIdPuApCdJOkfSPZLePd7iYAJcppP3AqFNyCBCEEw827PaCkA+GhGf3L4/IlYjopHc/4ykWdvLe1xM7IGIOJrcfl/Stdrq0pp2VNLjUo/PSrZh+rxY0i0Rce/2HbQJmXNvf9hbcvv9IcfQNmSA7ddIeomkV8aISe9O4X0E+1hE3BsR3YjoSforDf/70h5khO0ZST8v6eOjjqFNyCZCEEy0ZBzfhyXdGRF/NuKYM5LjZPu52qrXx/aulNgLtsvJ5LiyXZZ0kaSvbzvsOkmv2lokxs/T1iRY9wjTaOQ3O7QJmXOdpP5qL6+W9E9Djvm8pItsLybd4y9KtmFK2H6RpN+V9NKIODHimFN5H8E+tm0esJ/T8L/vjZKeYvuJSa/CS7XVjmD6XCjpGxFx97CdtAnZNTPuAgAP43xJvyzpa6mlrf5A0tmSFBEflPQLkl5vuyNpXdKlo74Bwr62Iuna5Np2RtLfR8TnbF8uDerCZ7S1Msy3JJ2Q9CtjKit2UfJB5YWSfj21LV0PaBOmlO2rJV0gadn23ZLeJukdkv7B9mslfVdbE+DJ9mFJl0fEr0XEfbb/RFsXP5J0RUQ8mgkVMQFG1IPflzQn6frkfeKGiLjc9pmS/joiLtaI95ExvATsgBH14ALb52hrWNwRJe8T6XqQrCD0Bm0FoXlJV0XE7WN4Cdghw+pCRHxYQ+YOo02AxBK5AAAAAAAgIxgOAwAAAAAAMoEQBAAAAAAAZAIhCAAAAAAAyARCEAAAAAAAkAmEIAAAAAAAIBMIQQAAwK6zvWT71uTne7aPph4XduHf+2KyTO6jOfcS20/fiecCAACTZWbcBQAAANMvIo5JOkeSbL9dUiMi3tXfb3smIjpjKt52l0j6tKQ7xl0QAACws+gJAgAAxsL239r+oO2vSLrS9pNsf872zbb/zfZTk+MO2v6E7RuTn/OHPNe87Y/ZvtP2tZLmU/susv1l27fYvsZ2Jdl+xPaVtr9m+z9tP9n2eZJeKumdSS+VJyVP8/LkmG/afv6u/3IAAMCuoCcIAAAYp7MknRcRXdv/LOnyiLjL9rmS/kLST0t6n6T3RMS/2z5b0uclPW3b87xe0omIeJrtZ0q6RZJsL0v6I0kXRkTT9lsl/bakK5LzjkfEj9t+laT3RsRLbF8n6dMR8Y/Jc0jSTEQ81/bFkt4m6cLd+oUAAIDdQwgCAADG6ZokAKlIOk/SNUnoIElzye2Fkp6e2r5guxIRjdTzvEDS+yUpIm6zfVuy/XmSni7pP5LzC5K+nDrv6tTte05Szk8mtzdLesIpvzoAADBRCEEAAMA4NZPbnKT7I+KcIcfkJD0vIjYexfNb0vURcdmI/THi/nabyW1XfH4CAGDfYk4QAAAwdhGxKuk7tl8uSd7yrGT3FyS9sX+s7WFByZckvSLZ/wxJz0y23yDpfNtPTvaVbf9I6rxfSt32e4isSaqe9osCAAAThxAEAABMildKeq3tr0q6XdLLku2/Kemw7dts3yHp8iHnfkBSxfad2prv42ZJiogfSHqNpKuTITJflvTU1HmLyfY3SfqtZNvHJL3F9n+lJkYFAABTwBEn6/kJAAAwnWwfkXQ4In447rIAAIC9QU8QAAAAAACQCfQEAQAAAAAAmUBPEAAAAAAAkAmEIAAAAAAAIBMIQQAAAAAAQCYQggAAAAAAgEwgBAEAAAAAAJlACAIAAAAAADLh/wHzH0I5nocHLAAAAABJRU5ErkJggg==\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"cell_type": "markdown",
"source": [
"Clearly, the decision tree starts overfitting very early as the maximum depth increases, shown by the increasing gap between the training and validation curves. \n",
"\n",
"The in-sample variance of a classifier quantifies by how much its predictions on the training data will vary when its fitted on different training sets. This is precisely what happens during cross-validation, as the same classifier's architecture is trained on different training sets, resulting in different models. The better the model fits the training data, the less error it makes when evaluated on it. This explains why the standard error is small for the training AUROC. In each fold, the model overfits the training data, and hence, its predictions do not vary much across folds. It goes up to the point where the model is complex enough to perfectly interpolate the training data (i.e. the model does not make mistakes on the training data). As in this case the training AUROC is equal to 1 in each fold, the standard error is null. \n",
"\n",
"On the other hand, the out-of-sample standard error seems to be slightly increasing when the model's complexity increases. This is direct consequence of overfitting. Indeed, as the models (in a 10 folds cross-validation, we have 10 different models) are extremely specific to the data they've been trained on, their predictions vary significantly when presented to unseen data (the validation fold), resulting in a high variance of validation AUROCS across the different folds, and hence, a large standard error.\n"
],
"metadata": {
"id": "u4-kO2sKOSIg",
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "code",
"source": [
"best_depth_id = np.argmax(test_score_mean)\n",
"best_depth = depths[best_depth_id]\n",
"classifier = DecisionTreeClassifier(max_depth=best_depth)\n",
"model = Pipeline(steps=[('preprocessor', preprocessor), ('classifier', classifier)])\n",
"model.fit(X_train, y_train)\n",
"proba_train = model.predict_proba(X_train)[:,1]\n",
"proba_test = model.predict_proba(X_test)[:,1]\n",
"roc_train = roc_auc_score(y_train, proba_train)\n",
"roc_test = roc_auc_score(y_test, proba_test)\n",
"\n",
"print('Best depth : {}'.format(best_depth))\n",
"print('Train AUROC : {}'.format(roc_train))\n",
"print('Test AUROC : {}'.format(roc_test))\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "ljV_V14Kr30s",
"outputId": "bf90f679-b77f-4f9a-e9de-83c75bb9abc1",
"pycharm": {
"name": "#%%\n"
}
},
"execution_count": 11,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Best depth : 5\n",
"Train AUROC : 0.9019615913821692\n",
"Test AUROC : 0.7696690179055887\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"# Bagging "
],
"metadata": {
"id": "tdvKtPEa7KRe",
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "markdown",
"source": [
"**4) Implement your own bagging algorithm by fitting a decision tree to each bootstrap sample. The bootstramp samples should be drawn from and of equal size as the training set. Set the the number of bootstrap samples to 30 and the maximum_depth of each decision as the optimum depth found above.**\n",
"\n",
"**Then using the decision trees fitted on each bootsrapped training data, predict on the test set and use the majority vote strategy to get the final predictions. Redo the same by averaging the trees probabilities. Display the confusion matrix for the test set.**\n",
"\n"
],
"metadata": {
"id": "EwkZbxViZ_Y0",
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "code",
"source": [
"n = X_train.shape[0]\n",
"n_bags = 30\n",
"\n",
"indices = [np.random.choice(a=n, size=n, replace=True) for _ in range(n_bags)]\n",
"classifier = DecisionTreeClassifier(max_depth=5)\n",
"\n",
"bag_predictions, bag_proba = [], []\n",
"for idx in indices:\n",
" model = Pipeline(steps=[('preprocessor', preprocessor), ('classifier', classifier)])\n",
" X_bag, y_bag = X_train.iloc[idx,:], y_train.iloc[idx]\n",
" model.fit(X_bag, y_bag)\n",
" y_pred = model.predict(X_test)\n",
" y_pred_proba = model.predict_proba(X_test)[:,1]\n",
" bag_predictions.append(y_pred)\n",
" bag_proba.append(y_pred_proba)\n",
"\n",
"bag_predictions = np.array(bag_predictions)\n",
"bagged_predictions_class = np.mean(bag_predictions, 0)\n",
"y_pred_bagged_class = [1 if prob >= 0.5 else 0 for prob in bagged_predictions_class]\n",
"\n",
"bag_proba = np.array(bag_proba)\n",
"bagged_predictions_proba = np.mean(bag_proba, 0)\n",
"y_pred_bagged_proba = [1 if prob >= 0.5 else 0 for prob in bagged_predictions_proba]\n",
"\n",
"cm_majority = confusion_matrix(y_test, np.array(y_pred_bagged_class))\n",
"cm_average_proba = confusion_matrix(y_test, np.array(y_pred_bagged_proba))\n",
"\n",
"disp_1 = ConfusionMatrixDisplay(confusion_matrix=cm_majority)\n",
"\n",
"disp_2 = ConfusionMatrixDisplay(confusion_matrix=cm_average_proba)\n",
"\n",
"\n",
"disp_1.plot()\n",
"disp_2.plot()\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 559
},
"id": "Fu5FuKfU64K-",
"outputId": "5f822424-9057-493e-a28f-8b807e0c3586",
"pycharm": {
"name": "#%%\n"
}
},
"execution_count": 12,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x7fbe04d52dd0>"
]
},
"metadata": {},
"execution_count": 12
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
],
"image/png": "iVBORw0KGgoAAAANSUhEUgAAATIAAAEGCAYAAADmLRl+AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAZHklEQVR4nO3de5QW1Znv8e+vmzsod5FwUYwIQ5zIGLzFictLjJdklDmHYzTGkIxZ6iRqEh0nZmZNPHFyztGZJMaZiWPwEomJ90tATUSH6KiJUUHRKJCIIAgBuRsUELr7OX9UtTQE+62C9+23qvl91qrVVfXWu+uhWTzsvWvX3ooIzMzKrKHeAZiZ7S4nMjMrPScyMys9JzIzKz0nMjMrvS71DqCtQQMaY/8RXesdhuXw+5d61TsEy2Ez77Al3tXulHHScb1jzdrmTNfOfundGRFx8u7cL4tCJbL9R3Tl2Rkj6h2G5XDSB8bXOwTL4ZmYudtlrFnbzLMzRma6tnHoq4N2+4YZFCqRmVnxBdBCS73D2I4TmZnlEgRbI1vTsqM4kZlZbq6RmVmpBUFzwV5tdCIzs9xacCIzsxILoNmJzMzKzjUyMyu1ALa6j8zMyiwINy3NrOQCmouVx5zIzCyfZGR/sTiRmVlOopndeu+86pzIzCyXpLO/WInM85GZWS7JODJl2iqR9DVJr0h6WdLtknpIGiXpGUkLJN0pqVulcpzIzCy3llCmrT2ShgEXAxMi4mCgETgTuBq4JiIOBNYB51aKx4nMzHKpZo2MpHurp6QuQC9gOXA8cE/6+VRgYpZCzMwyC0Rz9jrQIEmz2hxPiYgpABGxTNJ3gCXAJuARYDawPiKa0uuXAsMq3cSJzMxyq9RsbGN1REzY2QeS+gOnA6OA9cDdwC5Ni+1EZma5BGJLNFajqI8DiyJiFYCk+4CjgX6SuqS1suHAskoFuY/MzHJJBsQ2ZNoqWAIcKamXJAEnAHOBx4BJ6TWTgWmVCnIiM7PcqtHZHxHPkHTqPw/8liQfTQG+DlwiaQEwELipUjxuWppZLhGiOapTB4qIK4Ardji9EDg8TzlOZGaWW4tfUTKzMks6+4uVOooVjZkVXmtnf5E4kZlZbs0Fe2nciczMcsk5sr9DOJGZWW4tVXpqWS1OZGaWS/LSuBOZmZVYILZW5xWlqnEiM7NcIqjagNhqcSIzs5zkAbFmVm6Ba2Rm1gm4s9/MSi2oPB9/R3MiM7NckuXgipU6ihWNmZWAF+g1s5ILPLLfzDoB18jMrNQi5BqZmZVb0tnvV5TMrNSqN2d/tRQrGjMrvKSzX5m29kgaI2lOm+2Pkr4qaYCkRyW9mv7sXykmJzIzy62ZhkxbeyLidxExPiLGAx8BNgL3A5cDMyNiNDAzPW6XE5mZ5dI6sn93a2Q7OAF4LSIWA6cDU9PzU4GJlb7sPjIzyy3H4iODJM1qczwlIqbs5LozgdvT/SERsTzdXwEMqXQTJzIzyyUCtrZkTmSrI2JCexdI6gacBnzjT+8VISkq3cSJzMxySZqWVe2VOgV4PiLeTI/flDQ0IpZLGgqsrFSA+8jMLLfm9H3LSltGZ7GtWQkwHZic7k8GplUqwDWyKrtvymB+cdsAJBg1djOXXrOErt2DW67elycf7EdDA3zqc6uZ+MXV9Q7VgEu+t4QjPr6B9au7cP7xYwD42KfWc86lKxgx+l0uPnU0r77Uq85RFkvr8ItqkNQbOBE4v83pq4C7JJ0LLAbOqFROTROZpJOBa4FG4MaIuKqW96u31cu78rObBnHD4/Pp3jP49vn78fi0/kTAqj9048Yn5tPQAOtX+/+PonjkzgFM/9EgLrv2jffOvT6/B1d+cX8uvnppHSMrsuo1LSPiHWDgDufWkDzFzKxmTUtJjcAPSNq/44CzJI2r1f2KorlJvLu5geYmeHdTAwOHbOXBHw/k7K+toCH9bfcb1FTfIO09Lz/Thw3rtv+P5Y0FPVj6Wo86RVQOLem8/ZW2jlLLPrLDgQURsTAitgB3kIwP6bQGDd3KpL9dyTmHjeOs8QfTe69mPnLsBpYv7s5/T+/PhScfxD+efQDLFnard6hmuyx5atmYaesotUxkw4A32hwvTc9tR9J5kmZJmrVqTXMNw6m9DesbeXpGX6Y+M5fbXniZzRsbmXlvf7a+K7p1b+E/Hv49p5y9hu9eMrLeoZrtshoNiN0tdX9qGRFTImJCREwYPLBYb9Tn9cKTfdh3xBb6DWymS1c4+tT1zJ3Vm0FDt/KXp74FwNGnvMWieT3rHKnZ7ila07KWvc7LgBFtjoen5zqtfYZtZd7zvdi8UXTvGcx5ai8O+vBGevVp5sVf9WHfkWt56ek+DD/g3XqHarbLqvnUslpqmcieA0ZLGkWSwM4EPlPD+9Xd2EM38rFPvsWXTxpDY5fgwIM3ccpn17BlcwNXXziS+24YTM/eLXz1O0vqHaqlLr9uMR8+6m36DmjiJ7Pmcut3h7BhXRe+9O1l9B3YxD/fuojXXunBP37mg/UOtVD2mIkVI6JJ0oXADJLhFzdHxCu1ul9RfO6yFXzushXbnevWvZl/vnVRnSKy9lz1pf12ev7XD/ft4EjKI0I07SmJDCAifg78vJb3MLOOtyc1Lc2sE9rT+sjMrJNyIjOzUmsdR1YkTmRmlltHjhHLwonMzHKJgKbsEyt2CCcyM8vNTUszKzX3kZlZpxBOZGZWdu7sN7NSi3AfmZmVnmj2U0szK7ui9ZEVK62aWeG1vmtZjRliJfWTdI+k+ZLmSTpK0gBJj0p6Nf3Zv1I5TmRmlk8k/WRZtgyuBR6OiLHAIcA84HJgZkSMBmamx+1yIjOz3Kox1bWkvsAxwE0AEbElItaTLFI0Nb1sKjCxUjzuIzOzXCJfZ/8gSbPaHE+JiCnp/ihgFfAjSYcAs4GvAEMiYnl6zQpgSKWbOJGZWW4Zm40AqyNiwvt81gU4FLgoIp6RdC07NCMjIiRVvJublmaWW4QybRUsBZZGxDPp8T0kie1NSUMB0p8rKxXkRGZmuSQd+bufyCJiBfCGpDHpqROAucB0YHJ6bjIwrVJMblqaWW5VHNl/EfBTSd2AhcAXSCpYd0k6F1gMnFGpECcyM8stRx9ZhXJiDrCzPrQT8pTjRGZmuQSixa8omVnZValCVjVOZGaWTxTvXUsnMjPLr2BVMicyM8utNDUySf9OO3k3Ii6uSURmVmgBtLSUJJEBs9r5zMz2VAGUpUYWEVPbHkvqFREbax+SmRVdtcaRVUvFwSDpRGdzgfnp8SGSrqt5ZGZWXJFx6yBZRrV9HzgJWAMQES+SzCFkZnukbO9ZduQDgUxPLSPiDWm7oJprE46ZlULBmpZZEtkbkj4KhKSuJBOfzattWGZWWAFRsKeWWZqWFwBfBoYBfwDGp8dmtsdSxq1jVKyRRcRq4OwOiMXMyqJgTcssTy0PkPSApFWSVkqaJumAjgjOzAqqhE8tbwPuAoYCHwDuBm6vZVBmVmCtA2KzbB0kSyLrFRG3RkRTuv0E6FHrwMysuKq4rmVVtPeu5YB09xeSLgfuIMnFnwZ+3gGxmVlRFeypZXud/bNJEldrxOe3+SyAb9QqKDMrtsoLtHWs9t61HNWRgZhZSXRwR34WmUb2SzoYGEebvrGI+HGtgjKzIqteR76k14ENJG8LNUXEhLRb605gf+B14IyIWNdeOVmGX1wB/Hu6HQf8C3DabsRuZmVX3eEXx0XE+DYrkl8OzIyI0cBMdlh9fGeyPLWcRLI004qI+AJwCNA3c4hm1vm0ZNx2zelA6zRiU4GJlb6QJZFtiogWoEnS3iTLl4/Y5RDNrNzyjSMbJGlWm+28nZT2iKTZbT4bEhHL0/0VwJBKIWXpI5slqR9wA8mTzLeBpzN8z8w6qRxPLVe3aTLuzF9GxDJJ+wCPSprf9sOICKny3bK8a/mldPd6SQ8De0fES5W+Z2adWPVWGl+W/lwp6X7gcOBNSUMjYrmkoSStwHa9b9NS0qE7bsAAoEu6b2a2yyT1lrRX6z7wCeBlYDowOb1sMjCtUlnt1ci+285nARyfKdocfr9wICd++gvVLtZq6J0zu9c7BMuhZcZvqlJOlQbEDgHuTydt7QLcFhEPS3oOuEvSucBi4IxKBbU3IPa4qoRqZp1LUJVXlCJiIckoiB3PryEZKZGZF+g1s/zKOLLfzKyt0rxraWb2vgqWyLK8oiRJn5X0zfR4pKTDax+amRVWCWeIvQ44CjgrPd4A/KBmEZlZoSmybx0lS9PyiIg4VNILABGxTlK3GsdlZkVWookVW22V1EhaUZQ0mN15HdTMSq9onf1Zmpb/BtwP7CPp/wBPAf+3plGZWbEVrI8sy7uWP5U0m2SAmoCJEeGVxs32VB3c/5VFxUQmaSSwEXig7bmIWFLLwMyswMqWyICH2LYISQ9gFPA74EM1jMvMCkwF6yXP0rT887bH6cwXX3qfy83MOlzukf0R8bykI2oRjJmVRNmalpIuaXPYABwK/KFmEZlZsZWxsx/Yq81+E0mf2b21CcfMSqFMiSwdCLtXRPxdB8VjZmVQlkQmqUtENEk6uiMDMrNiE+V6avksSX/YHEnTgbuBd1o/jIj7ahybmRVRSfvIegBrSObobx1PFoATmdmeqkSJbJ/0ieXLbEtgrQr2xzCzDlWwDNDeS+ONQJ9026vNfutmZnuoas5HJqlR0guSHkyPR0l6RtICSXdmmTasvRrZ8oi4MlsoZrZHqW6N7CvAPGDv9Phq4JqIuEPS9cC5wH+2V0B7NbJizZxmZsUQyVPLLFslkoYDnwRuTI9F0h9/T3rJVGBipXLaq5HlWlfOzPYg2WtkgyTNanM8JSKmtDn+PvD3bBt4PxBYHxFN6fFSYFilm7S3QO/azKGa2R4lx/CL1RExYadlSJ8CVkbEbEnH7k48Xg7OzPKrTh/Z0cBpkk4lGea1N3At0K91QD4wHFhWqaAsU12bmW2TdZrrCskuIr4REcMjYn/gTOCXEXE28BgwKb1sMjCtUkhOZGaWi6j5cnBfBy6RtICkz+ymSl9w09LMcqv2K0oR8TjweLq/EMi1CLgTmZnlV7CR/U5kZpafE5mZlVpJZ78wM9ueE5mZlV2ZJlY0M9spNy3NrNwyDHbtaE5kZpafE5mZlVnryP4icSIzs9zUUqxM5kRmZvm4j8zMOgM3Lc2s/JzIzKzsXCMzs/JzIjOzUgu/omRmJedxZGbWOUSxMpkTmZnl5hpZJzZ44Dv8/ZefpH/fTUSIn888iPt/MY5zJr3AqSe8ylt/7A7Azbd/hGfnDK9ztAbQrUsT1104na5dmmlsCB57cRQ3zTiMK86eydgRq2hubmDukn24+u6P0dzSWO9wi2FPGhAr6WagdQHOg2t1nyJpbhY/vPUwFiwaSM8eW7nu/z3A7Jc+AMC9D43jngf3iF9DqWxpauSi6/6KTVu60tjQzPUXTec380fyyPOj+dZPjwfgW5+dyWlHzuf+X3+oztEWRzU6+yX1AJ4AupPkonsi4gpJo4A7SFZQmg2cExFb2iurlsvB3QKcXMPyC2ft+l4sWDQQgE2bu7JkWV8GDdhY56isfWLTlq4AdGlsoUtjCxHw9LyRpN3azF2yD/v0faeuURaNWrJtFbwLHB8RhwDjgZMlHQlcDVwTEQcC64BzKxVUs0QWEU8Aa2tVftENGbyBA0etZf6CQQCcftI8fvgv07j0gqfo0/vdOkdnbTWohVsuvYeHrvwxz/1+GHOXDHnvs8aGZk6e8Cq/mT+ijhEWTJB09mfZ2ism8XZ62DXdAjgeuCc9PxWYWCmkui/QK+k8SbMkzdqytXP8r9ej+1a+ecnj/OfUw9m4qRsPPDqWyRf/Ty74+mmsXdeL8895rt4hWhst0cDnvzuJid/6LH82chUH7Lvt/9/LJj3FnIX78uKioXWMsHhyLNA7qPXfd7qdt105UqOkOcBK4FHgNWB9RDSllywFhlWKp+6JLCKmRMSEiJjQrWvveoez2xobW7ji0sf45VMH8NSz+wGw/q2etERD8gDgl6MZc+DqOkdpO/P25u48v+ADHDH2DQD+5hOz6Nd7M/827aN1jqyAIuMGq1v/fafblO2KiWiOiPHAcJJFecfuSjh1T2SdS3DpBb9iybK+3PvQto7hAf229ZMdfdgSXn+jXz2Cs53o13sTfXokTf1uXZs47KClLF7Zj786Yh5HjFnKN39yAhGqc5TF0jogNmONLJOIWA88BhwF9JPU+iByOLCs0vc9/KKKPjRmJSce8xoLF/fn+qunAclQi+OOXsgH919LhHhzVR++f8NRdY7UWg3ceyP/dNZjNDQEDQpmvvhBfj13P5741ym8uW4vplz8MwD++7ej+NEjH6lztAURUZWJFSUNBrZGxHpJPYETSTr6HwMmkTy5nAxMq1RWLYdf3A4cS9JGXgpcERE31ep+RfDK74Zw4qc//yfnPWasuF5bPpDPf2/Sn5w/5rLzdnK1vac648iGAlMlNZK0Du+KiAclzQXukPRt4AWgYt6oWSKLiLNqVbaZ1Vc1RvZHxEvAX+zk/EKS/rLM3LQ0s3wC8Jz9ZlZ6xcpjTmRmlp9fGjez0vNycGZWbnvS7Bdm1jklA2KLlcmcyMwsP8/Zb2Zl5xqZmZWb+8jMrPyq865lNTmRmVl+blqaWal5gV4z6xRcIzOz0itWHnMiM7P81FKstqUTmZnlE3hArJmVmwgPiDWzTsCJzMxKz4nMzEqtgH1kXtfSzHJTS0umrd0ypBGSHpM0V9Irkr6Snh8g6VFJr6Y/+1eKx4nMzHKKpGmZZWtfE3BpRIwDjgS+LGkccDkwMyJGAzPT43Y5kZlZPkFVEllELI+I59P9DcA8YBhwOjA1vWwqMLFSSO4jM7P8sveRDZI0q83xlIiYsuNFkvYnWePyGWBIRCxPP1oBDKl0EycyM8stxziy1RExod2ypD7AvcBXI+KPkt77LCJCqrxmk5uWZpZfdfrIkNSVJIn9NCLuS0+/KWlo+vlQYGWlcpzIzCyfCGhuyba1Q0nV6yZgXkR8r81H04HJ6f5kYFqlkNy0NLP8qjMg9mjgHOC3kuak5/4BuAq4S9K5wGLgjEoFOZGZWX5VSGQR8RTJ6nI7c0KespzIzCyfADxnv5mVW0AU6x0lJzIzyyeo2JHf0ZzIzCw/z35hZqXnRGZm5ZZtsGtHciIzs3wC8OIjZlZ6rpGZWbmFn1qaWckFhMeRmVnpeWS/mZWe+8jMrNQi/NTSzDoB18jMrNyCaG6udxDbcSIzs3w8jY+ZdQoefmFmZRZAuEZmZqUWnljRzDqBonX2Kwr0GFXSKpJVUzqbQcDqegdhuXTWv7P9ImLw7hQg6WGS308WqyPi5N25XxaFSmSdlaRZlVZbtmLx31m5eIFeMys9JzIzKz0nso4xpd4BWG7+OysR95GZWem5RmZmpedEZmal50RWQ5JOlvQ7SQskXV7veKwySTdLWinp5XrHYtk5kdWIpEbgB8ApwDjgLEnj6huVZXALUPMBnFZdTmS1cziwICIWRsQW4A7g9DrHZBVExBPA2nrHYfk4kdXOMOCNNsdL03NmVmVOZGZWek5ktbMMGNHmeHh6zsyqzImsdp4DRksaJakbcCYwvc4xmXVKTmQ1EhFNwIXADGAecFdEvFLfqKwSSbcDTwNjJC2VdG69Y7LK/IqSmZWea2RmVnpOZGZWek5kZlZ6TmRmVnpOZGZWek5kJSKpWdIcSS9LultSr90o6xZJk9L9G9t7oV3SsZI+ugv3eF3Sn6y2837nd7jm7Zz3+t+S/i5vjNY5OJGVy6aIGB8RBwNbgAvafihpl9YpjYgvRsTcdi45FsidyMw6ihNZeT0JHJjWlp6UNB2YK6lR0r9Kek7SS5LOB1DiP9L50f4L2Ke1IEmPS5qQ7p8s6XlJL0qaKWl/koT5tbQ2+DFJgyXdm97jOUlHp98dKOkRSa9IuhFQpT+EpJ9Jmp1+57wdPrsmPT9T0uD03AclPZx+50lJY6vxy7Ry80rjJZTWvE4BHk5PHQocHBGL0mTwVkQcJqk78CtJjwB/AYwhmRttCDAXuHmHcgcDNwDHpGUNiIi1kq4H3o6I76TX3QZcExFPSRpJ8vbCnwFXAE9FxJWSPglkGRX/N+k9egLPSbo3ItYAvYFZEfE1Sd9My76QZFGQCyLiVUlHANcBx+/Cr9E6ESeycukpaU66/yRwE0mT79mIWJSe/wTw4db+L6AvMBo4Brg9IpqBP0j65U7KPxJ4orWsiHi/ebk+DoyT3qtw7S2pT3qP/5F+9yFJ6zL8mS6W9Nfp/og01jVAC3Bnev4nwH3pPT4K3N3m3t0z3MM6OSeyctkUEePbnkj/Qb/T9hRwUUTM2OG6U6sYRwNwZERs3kksmUk6liQpHhURGyU9DvR4n8sjve/6HX8HZu4j63xmAH8rqSuApIMk9QaeAD6d9qENBY7byXd/AxwjaVT63QHp+Q3AXm2uewS4qPVAUmtieQL4THruFKB/hVj7AuvSJDaWpEbYqgForVV+hqTJ+kdgkaT/ld5Dkg6pcA/bAziRdT43kvR/PZ8uoPFDkpr3/cCr6Wc/JpnhYTsRsQo4j6QZ9yLbmnYPAH/d2tkPXAxMSB8mzGXb09NvkSTCV0iamEsqxPow0EXSPOAqkkTa6h3g8PTPcDxwZXr+bODcNL5X8PThhme/MLNOwDUyMys9JzIzKz0nMjMrPScyMys9JzIzKz0nMjMrPScyMyu9/w9VKvNcuEYr4AAAAABJRU5ErkJggg==\n"
},
"metadata": {
"needs_background": "light"
}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
],
"image/png": "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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"cell_type": "markdown",
"source": [
"As observed, we can have different results when aggregating the predictions using either of the two strategies, as shown by the confusion matrices. "
],
"metadata": {
"id": "DXrkXG8gw3Vp",
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "markdown",
"source": [
"# Random Forest"
],
"metadata": {
"id": "WlMQavsWhGO6",
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "markdown",
"source": [
"**5) Perform a random search on a specified grid of hyper-parameters to find the best hyper-parameters configuration for a RandomForestClassifier. Set the scoring function as the AUROC and limit the number of combination to try to 10.**\n",
"\n",
"**Fit the best model found in the previous procedure to the training data, and predict on the test set. Report the test AUROC and display the ROC curve.**"
],
"metadata": {
"id": "b1_648UmlJrd",
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "code",
"source": [
"param_grid = {\n",
" 'classifier__n_estimators' : [50,100,150,200],\n",
" 'classifier__criterion' : ['gini', 'entropy'],\n",
" 'classifier__max_depth' : [5,10,15,20,None],\n",
" 'classifier__max_features' : ['auto', 'sqrt', 'log2']\n",
"}\n",
"\n",
"classifier = RandomForestClassifier()\n",
"model = Pipeline(steps=[('preprocessor', preprocessor), ('classifier', classifier)])\n",
"grid = RandomizedSearchCV(estimator=model, param_distributions=param_grid, cv=10, scoring='roc_auc', n_iter=10)\n",
"grid.fit(X_train, y_train)\n",
"\n",
"best_params = grid.best_params_\n",
"best_model = grid.best_estimator_"
],
"metadata": {
"id": "QEhFjZm0D5-p",
"pycharm": {
"name": "#%%\n"
}
},
"execution_count": 13,
"outputs": []
},
{
"cell_type": "code",
"source": [
"best_model.fit(X_train, y_train)\n",
"y_pred = best_model.predict_proba(X_test)[:,1]\n",
"\n",
"fpr, tpr, thresholds = roc_curve(y_test, y_pred, pos_label=1)\n",
"\n",
"fig, ax = plt.subplots()\n",
"fig.set_size_inches(8, 8)\n",
"\n",
"xaxis = np.arange(0,1.1,0.1)\n",
"\n",
"ax.plot(xaxis, xaxis, label='Baseline')\n",
"ax.set_xlabel('False Positive Rate')\n",
"ax.set_ylabel('True Positive Rate')\n",
"\n",
"roc_auc = roc_auc_score(y_test, y_pred) \n",
"\n",
"ax.plot(fpr, tpr, label='ROC curve (AUROC = {}'.format(roc_auc))\n",
"ax.legend()\n",
"ax.set_title('Receiver Operating Curvee')\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 531
},
"id": "L9sL5KzcKVlm",
"outputId": "f62f8a3f-9f3b-4f88-f3e7-46d6f6777d5f",
"pycharm": {
"name": "#%%\n"
}
},
"execution_count": 14,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Receiver Operating Curvee')"
]
},
"metadata": {},
"execution_count": 14
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 576x576 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"cell_type": "markdown",
"source": [
"# Boosting"
],
"metadata": {
"id": "qpJYcRiqfa0R",
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "markdown",
"source": [
"**7) Fit a boosting classifier to the training data, and report the training and test AUROC's. You can use the GradientBoostingClassifier from the sklearn library.**"
],
"metadata": {
"id": "xbLLa_mDmpV2",
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "code",
"source": [
"classifier = GradientBoostingClassifier()\n",
"model = Pipeline(steps=[('preprocessor', preprocessor), ('classifier', classifier)])\n",
"\n",
"model.fit(X_train, y_train)\n",
"\n",
"y_pred_train = model.predict_proba(X_train)[:,1]\n",
"y_pred_test = model.predict_proba(X_test)[:,1]\n",
"\n",
"auc_train = roc_auc_score(y_train, y_pred_train)\n",
"auc_test = roc_auc_score(y_test, y_pred_test)\n",
"\n",
"print('Train AUROC : {}'.format(auc_train))\n",
"print('Test AUROC : {}'.format(auc_test))\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "MyLMB01YV-mw",
"outputId": "19cf3dcd-1a01-430f-aaed-4c812bcb6af4",
"pycharm": {
"name": "#%%\n"
}
},
"execution_count": 15,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Train AUROC : 0.9786671057119001\n",
"Test AUROC : 0.8431904503526859\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"**8) For a decision tree classifier, a bagging classifier, a random forest classifier and a boosting classifier, perform a random search on a predifined grid of hyper-parameters. Amongst all models and hyper-parameters combinations, select the best model and report the best *validation* AUROC. The random search should be performed on the *training* data, and you can set the number of combinations to try per model to 5.**\n",
"\n",
"**For the best model found, report the training and test AUROC's, and display the training and test ROC curves**"
],
"metadata": {
"id": "7iMGufJ8XlEV",
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "code",
"source": [
"param_grid_boost = {\n",
" 'classifier__n_estimators' : [50,100,150,200],\n",
" 'classifier__learning_rate' : [0.5, 0.1, 0.05],\n",
" 'classifier__min_samples_split' : [2,5,10],\n",
" 'classifier__min_samples_leaf' : [2,5,10]\n",
"}\n",
"\n",
"param_grid_bag = {\n",
" 'classifier__n_estimators' : [50,100,150,200],\n",
"}\n",
"\n",
"param_grid_tree = {\n",
" 'classifier__criterion' : ['gini', 'entropy'],\n",
" 'classifier__max_depth' : [None, 2,5,10],\n",
" 'classifier__min_samples_split' : [2,5,10],\n",
" 'classifier__min_samples_leaf' : [2,5,10]\n",
"}\n",
"\n",
"\n",
"param_grid_forest = {\n",
" 'classifier__n_estimators' : [50,100,150,200],\n",
" 'classifier__criterion' : ['gini', 'entropy'],\n",
" 'classifier__max_depth' : [5,10,15,20,None],\n",
" 'classifier__max_features' : ['auto', 'sqrt', 'log2']\n",
"}\n",
"\n",
"boost = GradientBoostingClassifier()\n",
"tree = DecisionTreeClassifier()\n",
"bag = BaggingClassifier()\n",
"forest = RandomForestClassifier()\n",
"\n",
"classifiers = [boost, bag, tree, forest]\n",
"grids = [param_grid_boost, param_grid_bag, param_grid_tree, param_grid_forest]\n",
"\n",
"best_results_list = []\n",
"best_estimators_list = []\n",
"for i, grid in enumerate(grids):\n",
" print(classifiers[i])\n",
" model = Pipeline(steps=[('preprocessor', preprocessor), ('classifier', classifiers[i])])\n",
" grid = RandomizedSearchCV(estimator=model, param_distributions=grid, cv=10, scoring='roc_auc', n_iter=5)\n",
" grid.fit(X_train, y_train)\n",
" best_results_list.append(grid.cv_results_['mean_test_score'].max())\n",
" best_estimators_list.append(grid.best_estimator_)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "zi0NcaQaeesO",
"outputId": "18044d39-b1a6-4cfe-c1b9-b98599a03938",
"pycharm": {
"name": "#%%\n"
}
},
"execution_count": 16,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"GradientBoostingClassifier()\n",
"BaggingClassifier()\n"
]
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"/usr/local/lib/python3.7/dist-packages/sklearn/model_selection/_search.py:296: UserWarning: The total space of parameters 4 is smaller than n_iter=5. Running 4 iterations. For exhaustive searches, use GridSearchCV.\n",
" UserWarning,\n"
]
},
{
"output_type": "stream",
"name": "stdout",
"text": [
"DecisionTreeClassifier()\n",
"RandomForestClassifier()\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"print('Best model : {}'.format(best_estimators_list[np.argmax(best_results_list)]))\n",
"print('Best validation AUROC : {}'.format(max(best_results_list)))"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "YIihkYc4KgL6",
"outputId": "702be5e5-e520-4c83-b7b6-e25d797c65eb",
"pycharm": {
"name": "#%%\n"
}
},
"execution_count": 17,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Best model : Pipeline(steps=[('preprocessor', SimpleImputer()),\n",
" ('classifier',\n",
" RandomForestClassifier(criterion='entropy', max_depth=10,\n",
" n_estimators=150))])\n",
"Best validation AUROC : 0.8330507602153944\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"best_estimator = best_estimators_list[np.argmax(best_results_list)]\n",
"\n",
"best_estimator.fit(X_train, y_train)\n",
"\n",
"y_pred_train = best_estimator.predict_proba(X_train)[:,1]\n",
"y_pred_test = best_estimator.predict_proba(X_test)[:,1]\n",
"\n",
"fpr_train, tpr_train, thresholds_train = roc_curve(y_train, y_pred_train, pos_label=1)\n",
"fpr_test, tpr_test, thresholds_test = roc_curve(y_test, y_pred_test, pos_label=1)\n",
"\n",
"\n",
"fig, ax = plt.subplots()\n",
"fig.set_size_inches(8, 8)\n",
"\n",
"xaxis = np.arange(0,1.1,0.1)\n",
"\n",
"ax.plot(xaxis, xaxis, label='Baseline')\n",
"ax.set_xlabel('False Positive Rate')\n",
"ax.set_ylabel('True Positive Rate')\n",
"\n",
"roc_auc_train = roc_auc_score(y_train, y_pred_train) \n",
"roc_auc_test = roc_auc_score(y_test, y_pred_test) \n",
"\n",
"ax.plot(fpr_train, tpr_train, label='Train ROC curve (AUROC = {})'.format(roc_auc_train))\n",
"ax.plot(fpr_test, tpr_test, label='Test ROC curve (AUROC = {})'.format(roc_auc_test))\n",
"ax.legend()\n",
"ax.set_title('Receiver Operating Curvee')"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 531
},
"id": "MsETcYP8KxjO",
"outputId": "9defb96e-eea6-4506-ba16-ba3b58e5be9d",
"pycharm": {
"name": "#%%\n"
}
},
"execution_count": 18,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Receiver Operating Curvee')"
]
},
"metadata": {},
"execution_count": 18
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 576x576 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"cell_type": "markdown",
"source": [
"The ROC obtained by evaluating the model on the training data is very close to the one of a perfect classifier (i.e. AUROC = 1). The model overfits then training data. "
],
"metadata": {
"id": "KrxT5BH0xcaG",
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "markdown",
"source": [
"# Regression "
],
"metadata": {
"id": "jEvdTtjsrCEf",
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "markdown",
"source": [
"**9) Select 'bmi' as the target variable and all the remaining columns in the dataframe as the predictors. Split your dataset into a training and test set, fit a decision tree regressor to the training data, and report the MSE on the training and test sets. What do you observe ?**"
],
"metadata": {
"id": "--wfsvsUYo3C",
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "code",
"source": [
"features = list(df.columns)\n",
"features.remove('bmi')\n",
"\n",
"X, y = df[features], df.bmi\n",
"\n",
"X_train, X_test, y_train, y_test = train_test_split(X,y,train_size=0.8, test_size=0.2)\n",
"\n",
"regressor = DecisionTreeRegressor()\n",
"pipeline = Pipeline(steps=[('preprocessor', preprocessor), ('regressor', regressor)])\n",
"\n",
"pipeline.fit(X_train, y_train)\n",
"\n",
"y_pred_train = pipeline.predict(X_train)\n",
"y_pred_test = pipeline.predict(X_test)\n",
"\n",
"mse_train = mean_squared_error(y_train, y_pred_train)\n",
"mse_test = mean_squared_error(y_pred_test, y_test)\n",
"\n",
"print('Train MSE : {}'.format(mse_train))\n",
"print('Test MSE : {}'.format(mse_test))"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "cFRzaOwynexC",
"outputId": "5e10b383-46ea-4843-a861-377d63d8c7e1",
"pycharm": {
"name": "#%%\n"
}
},
"execution_count": 19,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Train MSE : 0.0\n",
"Test MSE : 87.4488961038961\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"As we did not impose any restrictions on the depth that the tree could reach, it grew to the point that each leaf contains a single training observation. The value predicted for a leaf being the mean of the observations contained in it, and as each leaf contains a single observation, the model exactly predicts all training points, and the MSE is null. The behaviour obviously does not generalize well, as shown by the test MSE. "
],
"metadata": {
"id": "wA09_yPrZg8g",
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "markdown",
"source": [
"**10) For a decision tree regressor, a bagging regressor, a random forest regressor and a boosting regressor, perform a random search on a predifined grid of hyper-parameters. Amongst all models and hyper-parameters combinations, select the best model and report the best *validation* MSE. The random search should be performed on the *training* data, and you can set the number of combinations to try per model to 5.**\n",
"\n",
"**For the best model found, report the training and test MSE.**"
],
"metadata": {
"id": "dMUd7Kyqa6S4",
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "code",
"source": [
"param_grid_boost = {\n",
" 'classifier__n_estimators' : [50,100,150,200],\n",
" 'classifier__learning_rate' : [0.5, 0.1, 0.05],\n",
" 'classifier__min_samples_split' : [2,5,10],\n",
" 'classifier__min_samples_leaf' : [2,5,10]\n",
"}\n",
"\n",
"param_grid_bag = {\n",
" 'classifier__n_estimators' : [50,100,150,200],\n",
"}\n",
"\n",
"param_grid_tree = {\n",
" 'classifier__criterion' : ['squared_error', 'friedman_mse', 'absolute_error', 'poisson'],\n",
" 'classifier__max_depth' : [None, 2,5,10],\n",
" 'classifier__min_samples_split' : [2,5,10],\n",
" 'classifier__min_samples_leaf' : [2,5,10]\n",
"}\n",
"\n",
"\n",
"param_grid_forest = {\n",
" 'classifier__n_estimators' : [50,100,150,200],\n",
" 'classifier__criterion' : ['squared_error', 'friedman_mse', 'absolute_error', 'poisson'],\n",
" 'classifier__max_depth' : [5,10,15,20,None],\n",
" 'classifier__max_features' : ['auto', 'sqrt', 'log2']\n",
"}\n",
"\n",
"boost = GradientBoostingRegressor()\n",
"tree = DecisionTreeRegressor()\n",
"bag = BaggingRegressor()\n",
"forest = RandomForestRegressor()\n",
"\n",
"classifiers = [boost, bag, tree, forest]\n",
"grids = [param_grid_boost, param_grid_bag, param_grid_tree, param_grid_forest]\n",
"\n",
"best_results_list = []\n",
"best_estimators_list = []\n",
"for i, grid in enumerate(grids):\n",
" print(classifiers[i])\n",
" model = Pipeline(steps=[('preprocessor', preprocessor), ('classifier', classifiers[i])])\n",
" grid = RandomizedSearchCV(estimator=model, param_distributions=grid, cv=10, scoring='neg_mean_squared_error', n_iter=5)\n",
" grid.fit(X_train, y_train)\n",
" best_results_list.append(-grid.cv_results_['mean_test_score'].max())\n",
" best_estimators_list.append(grid.best_estimator_)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "N3Z7uoKdqef4",
"outputId": "0b1a7a39-e1b3-4e16-9bfb-f70df5d467ed",
"pycharm": {
"name": "#%%\n"
}
},
"execution_count": 20,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"GradientBoostingRegressor()\n",
"BaggingRegressor()\n"
]
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"/usr/local/lib/python3.7/dist-packages/sklearn/model_selection/_search.py:296: UserWarning: The total space of parameters 4 is smaller than n_iter=5. Running 4 iterations. For exhaustive searches, use GridSearchCV.\n",
" UserWarning,\n"
]
},
{
"output_type": "stream",
"name": "stdout",
"text": [
"DecisionTreeRegressor()\n",
"RandomForestRegressor()\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"print('Best model : {}'.format(best_estimators_list[np.argmax(best_results_list)]))\n",
"print('Best validation MSE : {}'.format(max(best_results_list)))"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "dsT_OM6HsjUJ",
"outputId": "3d53d243-c399-4ec7-9872-d56401aae787",
"pycharm": {
"name": "#%%\n"
}
},
"execution_count": 21,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Best model : Pipeline(steps=[('preprocessor', SimpleImputer()),\n",
" ('classifier',\n",
" DecisionTreeRegressor(max_depth=5, min_samples_leaf=5))])\n",
"Best validation MSE : 44.294656981702914\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"best_estimator = best_estimators_list[np.argmax(best_results_list)]\n",
"\n",
"best_estimator.fit(X_train, y_train)\n",
"y_pred = best_estimator.predict(X_test)\n",
"\n",
"test_mse = mean_squared_error(y_pred, y_test)\n",
"\n",
"print('Test MSE : {}'.format(test_mse))"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "eJfCI0tQsoFh",
"outputId": "9fa3da28-6cde-42eb-9e46-2ce4ca67df62",
"pycharm": {
"name": "#%%\n"
}
},
"execution_count": 22,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Test MSE : 51.73992605202454\n"
]
}
]
}
]
}