{ "cells": [ { "cell_type": "code", "execution_count": 12, "id": "faafb9a0", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The autoreload extension is already loaded. To reload it, use:\n", " %reload_ext autoreload\n" ] } ], "source": [ "%matplotlib inline\n", "%load_ext autoreload\n", "%autoreload 2\n", "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import os\n", "import sys\n", "\n", "sys.path.append(os.path.abspath(\"..\"))\n", "\n", "from IPython.core.display_functions import DisplayHandle\n", "from pandas import read_csv\n", "from sklearn.model_selection import train_test_split, cross_val_score\n", "from sklearn.preprocessing import MinMaxScaler, StandardScaler\n", "from sklearn.pipeline import make_pipeline\n", "from sklearn.linear_model import LinearRegression\n", "from IPython.display import Markdown, display\n", "from src.cleaning import main as cleaning\n", "from src.scraper import main as scraper\n", "from sklearn.tree import DecisionTreeRegressor\n", "\n", "\n", "class Tableau:\n", " \"\"\"\n", " classe pour afficher le tableau des scores automatiquements.\n", " \"\"\"\n", " def __init__(self, score_title: str = \"R²\") -> None:\n", " self._table: dict[str, float] = dict[str, float]()\n", " self._score_title: str = score_title\n", "\n", " def ajoutligne(self, methode: str, score: float) -> None:\n", " self._table[methode] = score\n", "\n", " def dessiner(self) -> DisplayHandle | None:\n", " table = f\"| Méthode | {self._score_title} |\\n| :---: | :---: |\\n\"\n", "\n", " for key, value in self._table.items():\n", " table+= f\"|{key}|{value:0.6f}|\\n\"\n", "\n", " return display(Markdown(table))\n", "\n", "\n", "_filename_scraped = \"../data.csv\"\n", "_filename_cleaned = \"../clean.csv\" \n", "\n", "_url = \"bordeaux.html\"\n", "\n", "try:\n", " if not os.path.exists(_filename_scraped):\n", " print(f\"{_filename_scraped} est absent. Lancement du scraper (~10min):\")\n", " scraper(_filename_scraped, _url)\n", " cleaning(_filename_scraped)\n", "except Exception as e:\n", " print(f\"ERREUR: {e}\")\n", "\n", "dataset = read_csv(_filename_cleaned)" ] }, { "cell_type": "markdown", "id": "ed96ca6c", "metadata": {}, "source": [ "## Troisième jalon : Apprentissage\n", "\n", "Nous sommes prêts à passer à l’apprentissage à proprement parler. Pour ce faire, nous allons utiliser la bibliothèque scikit-learn.\n", "\n", "### Préparation de données d’apprentissage et de test\n", "Le but est d’estimer le prix d’un produit à partir des attributs. La colonne “Prix” correspond ainsi aux étiquettes (\"targets\"), tandis que les autres colonnes sont les attributs (\"features\").\n", "\n", "**Question 15**: Préparez la matrice de données et le vecteur des étiquettes pour votre jeu de données. Séparez les données en un jeu d’entraînement et un jeu de test, sur un base 75%/25%, en utilisant\n", "le paramètre random_state = 49.\n", "\n", "Nous utiliserons les notations suivantes :\n", "\n", "- X_train (resp. y_train) fait référence aux données d’apprentissage (resp. à leur étiquette),\n", "\n", "- X_test (resp. y_test) fait référence aux données de test (resp. à leur étiquette)." ] }, { "cell_type": "code", "execution_count": 13, "id": "8342340f", "metadata": {}, "outputs": [], "source": [ "X = dataset.drop(\"Prix\", axis=1).values\n", "y = dataset[\"Prix\"].values\n", "\n", "X_train, X_test, y_train, y_test = train_test_split(\n", " X, y, test_size=0.25, random_state=49\n", ")" ] }, { "cell_type": "markdown", "id": "67685584", "metadata": {}, "source": [ "## Premier modèle : Régression Linéaire\n", "\n", "Dans un premier temps, nous allons appliquer une régression linéaire [LinearRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html) sur nos données." ] }, { "cell_type": "code", "execution_count": 14, "id": "9dfdc01f", "metadata": {}, "outputs": [], "source": [ "lr_table: Tableau = Tableau()\n", "\n", "\n", "def dessiner(lr, X_test, y_test):\n", " x_test_pred = lr.predict(X_test)\n", "\n", " plt.figure(figsize=(8, 6))\n", " plt.scatter(x_test_pred, y_test, label=\"Vins\")\n", "\n", " mn = min(x_test_pred.min(), y_test.min())\n", " mx = max(x_test_pred.max(), y_test.max())\n", "\n", " plt.plot([mn, mx], [mn, mx], color=\"red\", linestyle=\"--\", label=\"estim_LR=y_test\")\n", "\n", " plt.xlabel(\"estim_LR\")\n", " plt.ylabel(\"y_test\")\n", " plt.legend()\n", " plt.grid(True, linestyle=\":\", alpha=0.6)\n", "\n", " if hasattr(lr, 'steps'): # Si c'est un Pipeline\n", " name = lr.steps[-2][1].__class__.__name__\n", " else:\n", " name = lr.__class__.__name__\n", " plt.title(name)\n", "\n", " plt.show()" ] }, { "cell_type": "markdown", "id": "6b6909c3", "metadata": {}, "source": [ "**Question 16**: Évaluez ce modèle sur le jeu de test par r2_score. Rappelons qu’il s’agit de la mesure par défaut pour la fonction score() des méthodes de régression." ] }, { "cell_type": "code", "execution_count": 15, "id": "99de3ed7", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "LR score[r^2]: 0.234788\n" ] } ], "source": [ "lr = LinearRegression()\n", "lr.fit(X_train, y_train)\n", "score: float = lr.score(X_test, y_test)\n", "\n", "# lr_table.ajoutligne(\"LR\", score)\n", "print(f\"LR score[r^2]: {score:.6f}\")" ] }, { "cell_type": "markdown", "id": "f807cb05", "metadata": {}, "source": [ "**Question 17**: Nous allons Faire une comparaison entre les estimations (estim_LR) faites par le modèle pour les données de test et les prix y_test. Dessinez une figure où l’axe x représente estim_LR et l’axe y est y_test. Pensez à utiliser la fonction scatter pour représenter les points. Nous appellerons dans la suite figure de visualisation cette représentation. Rappelons que si votre modèle fonctionne bien pour ce jeu de données, vous devriez avoir les points autour de la diagonale\n", "où estim_LR est égal à y_test. Que constatez-vous ?" ] }, { "cell_type": "code", "execution_count": 16, "id": "09eca16d", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "dessiner(lr, X_test, y_test)" ] }, { "cell_type": "markdown", "id": "4189c565", "metadata": {}, "source": [ "Je constate qu'il y a des bouteilles hors de prix et donc l'algorithme de regression linéaire ne prend pas suffisamment en compte ces valeurs là." ] }, { "cell_type": "markdown", "id": "8889cde7", "metadata": {}, "source": [ "**Question 18**: Nous allons maintenant évaluer l’impact du pré-traitement sur nos données. En utilisant la commande make_pipeline, normalisez d’abord les données avant de lancer l’apprentissage, et évaluez le score sur le jeu de test. Répétez l’expérience, cette fois-ci en standardisant les données avant l’apprentissage. Dessinez les figures de visualisation pour les deux cas. Observez-vous les mêmes choses qu’à la question précédente ?" ] }, { "cell_type": "code", "execution_count": 17, "id": "b94a89f2", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Normalisation + LR score[r^2]: 0.234788\n" ] }, { "data": { "image/png": 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zzllnnYW0tDQMHz4c1157Lb799ttSrzMpOVlZWfwYlUJtdUN99UJtdZO1Zw/wyCNA9+5AZibQqhXw22/e8AebZnlwVAiEpNkQD64YuqeffrpxYVerVg0ffvghLr74YnPOsmXL0KJFCyxYsACnnHIKvvnmG5x33nnGMK5Ro4Y557XXXsOIESPM9eLj4836V199hSVLluS+14ABA0xMy/Tp04stF0MgCCGEEBKV5OQAvXoBM2d6twcPBl58EUhKgt1wTAhEfqTAQuXK3tyov//+u/EKd5cnjiPIbCT16tUzBrAgy9atW+cav0LPnj3Nh7B06dLcc3yvYZ1jXSM/Bw8eNP/v+xKsEZCyLG5dPNO+69ZzRiDr8sq/LgS6LuXwXQ+kHnark3wfMjMzTYiLljpp1CmYOlnTbVrhSxrqpFGnYOskL2m70oa11EmjTsHUSZbWVLla6qRRp2Dr5Ha5sKd1a3iSk82sbu433oBbYn9tXCd/sI0BLB+IhCacdtppOP74480++bEUD27+UeFi7Mox6xxf49c6bh0r6hwxbPfv319gbLI8QVivukeCu9evX2+WGzduNC9h3bp1JjbGikXeunWrWc/IyMCOHTvM+qpVq3KN++XLl2OPdCUc8WZb3Ubp6ekm3llYvHixuUnIZyLrspRtWRfkPDlfkP+X6whyXbm+IO8n7ytIOaQ8gpRPyilIuaX8TqqThLNIuIumOmnUKdg6SXy/tjpp1CmYOu3du9e0XRnnoaVOGnUKtk5WGTXVSaNOftfp8GHsXr48t07/DRqENTK72+WX27pOVj0cFQIxdOhQE84wd+5c1DkSUC2hD4MGDTIeWV9OPvlkE887evRoXH/99VizZk2eeF754JKTk/H111/jnHPOQbNmzcx17rnnntxz5JjEBcu5iRLI7YO8n+97iqEsRrCIJsa49fQSExNT6Lo8hbhcrtx1Wcp2IOuCXNN3XebkFskCWbeeyq314srOOlEnfvfYnvgbwd9y3p+i9J67di1iBw6EZ+9euH/6CbHJyY6pk4S2ShSBPyEQtsgDfOONN2LatGmYM2dOrvErpKamGo9B/vxz4iWSY9Y5CxcuzHM9K0uE7zn5M0fItnw4+Y1fQTJFyCs/1odtLYtaFzHCtS5fhEDW/SmvU+okL/HE16xZMyT1s0OdNOoUTJ3kR0y8B6KtljoVtR5tdRJ9pZtc9JX31lCnkq5rqZNoKz2toq28j4Y6adTJrzp98w1ir7wS2LYNrvLlEZueDneHDoX+Ntu1TrYPgRBrXYzfKVOmYNasWWjYsGGe4x06dEBcXBy+//773H3SfSbu9E5Hki3LUtzflqtdkIwSYty2bNky9xzfa1jnWNcghBBCCIlasrOBu+4Cevc2xi/atwcWLQJOOglaiWgIxA033GDCHL744gscd9xxufsl7tbyzEpohIQrSGozMWpvuukms19SngniEm/bti1q1aqFp556yjyFDhw40KQ5e+KJJ8w5EjcqccWScu2aa64xxvbNN99sMkPIYLjiYBYIYjdy3B7OLkcIIaTkrF0rqbEkY4B3W+ysp5+W7nDHfbqB2GsRNYCtbrD8jBs3DldffXVuUPPtt9+OiRMnmrhcMVhfffXV3PAGQWKAxVCWyS4k9veqq67Ck08+iTJljkZ4yDHJKSwB1RJm8cADD+S+R3HQALYP0tUmwfWioW+3SjQxfclGPDw1HRt3eQcGCDVTymJkn5Zm6mWnQm11Q331Qm0dzrnnAt98I95H4J13AJ+5Fpymr2MMYKdAA9g+SEOUcBfJF233hhgu43fohEXI32itR8mxV7R3rBEc7dpqh/rqhdo6nIwM4P/+TyZRAPKFojpNXxrAEfxACQln2EPn0bPyeH7zG8GpKWUxd0RXxMY4c2YeQgghYWb1auC777xGrzIcOxEGIcUhT6KSR9BKqxJNLFy9vVDjVxCvsByX85xINGsbDVBfvVBbB/HZZ0C7dsCQId6whyjWlwYwcRxJNpx+sTTYvOdASM+zI9GqbbRAffVCbW2OzG0gg9v69ZNZOwDJgnUkU1a06muLPMCE+IvEH0kcUjRSvXzZkJ5nN6JZ22iA+uqF2tqcFSuA/v29ac0ESXf22GNAXFxU60sPMHEUkvZu5cqVAc33rYWTG1Y22R4Ki+6V/XJcznMi0axtNEB99UJtbcynnx7N6VulCvDVV8Do0X4bv5r1pQFMHIWkzpNZAQtLoacZGdgmqc6E/LW3tuW4UwfARbO20QD11Qu1tTEHDgB79gBdugBpad6UZwHiUvrbzDRofsAsEMROaM0DTAghJAQcPgz4zIOAKVOAPn3y7lMK06BF8AMl4UW6YFatWoVGjRoFNOe3NjTOBEdtdUN99UJtbcSECcCjjwJz5wLVqkWdvrsDsNf0Pw4QVUgwfrVq1WyfjDvciLHbqXEVaILa6ob66oXa2oCsLG+WB5nJTXj+eeDxx0Ny6Ril910awMRRWLFIRB/UVjfUVy/UNsKkpwOXXAIsXSpiACNHAvffH7LLu5Ted3WZ80Q90hWzbNkydaNRCbXVDtuuXqhtBHn3XeDEE73Gb2oq8P33XgM4hKEKOUrvuzSAiaOQLphatWqp64oh1FY7bLt6obYR4vXXgUGDgP37gbPP9mZ5OOuskL9NjNL7LrNA+AEHwRFCCCHEVuzeDXTsCAwcCNx9t1iqiHZ2BzAIjp8WcRTSBbN06VJ1XTGE2mqHbVcv1LaU8HiAb7/1LgUx8MTre++9YTV+c5Ted2kAE0chXTANGjRQ1xVDqK122Hb1Qm1Lydt72WVAr17AK68c3Z+QEPa3jlF632UWCOIoZDRqcnJypItBwgC11Q311Qu1DTN//OHN8rBihXcyC5noohRxKb3v6jLniXqkC2bx4sXqumIItdUO265eqG2YkFCHV18FTjnFa/zWqwfMmQMMH47SJEfpfZceYOIopAumSZMm6rpiCLXVDtuuXqhtGNi5E7juOuCTT7zb558PjBsHVK6M0iZG6X1XV22IeqQrJjEx0SyJLqitbqivXqhtGFi2DJgyBYiLA557Dvj884gYv5r1pQFMHIV0waSlpanritFCjtuDBSu34Yu09WYp237/L7VVDfXVC7UNAxL2MHYsMG+eN+QhgsZnjtLfZuYB9gPmAbYPHo8H2dnZiIuLU/c06nSmL9mIh6emY+OuA7n7aqaUxcg+LdHr+JrF/j+11Q311Qu1DQHbtwPDhnmnMG7VCnbC46D7LvMAE9XEhnCKRxI643fohEV5jF8hc9cBs1+O+wO11Q311Qu1LQE//wy0awdMmuSd1MLK82sjYhXedxkCQRyF2+02o1FlSeyBhDmI57egn2xrnxwvLhyC2uqG+uqF2gb9wQFjxgBdugBr1wKNGwNvvRXRcIdo0pcGMHEUMgq1devW6kajOpmFq7cf4/n1RcxeOS7nFQW11Q311Qu1DYKtW72ZHe6805vXt39/YNEioH172I0YpfddpkEjjkMC8bU1RCezec+BkJ1HbXVDffVCbQNg1SrgjDOAdeuAsmWBF17wpjyzmedXu766akPUI10w6enp6rpinEz18mVDch611Q311Qu1DRCZ0KJRI+C444BffgGuv97Wxq9b6X2XWSD8gFkgCCkcie3tPHqWGfBWUJSv/KynppTF3BFdERtj3x95QggJG5s3AykpQELC0e2kJKBcOX7oIYRZIIhaJB3L/v37zZLYAzFqJdWZkN+8tbbleHHGL7XVDfXVC7Uthh9/BNq29cb7WlSv7hjj16P0vssQCOIopAtmxYoV6rpinI7k+R17RXvj6fVFtmW/P3mAqa1uqK9eqG0hyMQRDz8MdOsGbNwIzJoF7NsHp+FWet9lCIQfMASCEP/DISTbgwx4k5jfkxtWZtgDIST6yMwELr/ca/QK11wDvPSSN+yB2MJeYxYI4iikCyYrKwtJSUm2n5EmGpEwh06NqwT1v9RWN9RXL9Q2HzNneo1fifNNTvZOaSwTXDgUj9L7LkMgiKOQLpiMjAx1XTGE2mqHbVcv1NaH3buBSy7xGr+tWwO//eZo41ezvgyB8AOGQBBCCCHELz77DPj2W+D554HERH5opQizQBC1SFeMfMG1jUYl1FY7bLt6iXptv/kGmDHj6Ady0UXA66+rMX49Su+7DIEgjkK6YDZs2KCuK4ZQW+2w7eolarXNzgZGjADOPRe47DJgwwZoxK1UX4ZA+AFDIAghhBCSy9q1wKWXAvPne7eHDQPGjPFObUwiBkMgiFqkC2bnzp3qumIItdUO265eok7bqVOBdu28xq/M7vbJJ8DLL6s1fj1K9WUIBHEU0gWzZcsWdV0xhNpqh21XL1GjrdTv9tuB888Htm8HTjoJWLQI6NcPmnEr1ZcGMHEUsbGxaNq0qVkSXVBb3VBfvUSNtjExwI4d3vXhw4G5c4FGjaCdWKX60gAmjkKeQLdt26buSZRQW+2w7epFvbYy2M1CZnObPh147jkgPh7RgFupvjSAiaPQGotEqK122Hb1olbbgweBm24C+vb1hj8IMrNbz56IJjxK9WUWCD9gFghCCCEkilixAujf3xvjK8yaBZx1VqRLRYqBWSCIWqQLZvPmzeq6Ygi11Q7brl7UafvRR0D79l7jt0oVYNq0qDZ+3dr0PQJDIIjjyMrKinQRSJigtrqhvnpRoe3+/cDQoV7P7549QOfOQFoa0Ls3op0sDfrmgyEQfsAQCEIIIUQ5ks7ss88Alwu45x7g4YeBMmUiXSoSAAyBIGqRLpjMzEx1XTGE2mqHbVcvarS9916gbl1vlofHH6fxq03ffPDRhjiOQ4cORboIJExQW91QX704Ulvp1l+wAOjWzbvdoYN38FuUpDdTr28xMATCDxgCQQghhCgiPR245BJg+XKvESyD3ojjYQgEUYt0waxfv15dVwyhttph29WL47R9913vNMZLlwKVK3s9wUSPvn7CLBCEEEII0c/evcBVVwGDBnmN3rPP9mZ5kGwPJOpgCIQfMASCEEIIcTCLF3tDHpYtA2JigEce8WZ6kHWiBoZAELVIF8zatWvVdcUQaqsdtl29OELbr7/2Gr+1agE//ADcdx+NX036BgGzQBDHEc8RumqhtrqhvnqxvbZ33gkcOADccANQrVqkS+M44u2ubxAwBMIPGAJBCCGEOIg//vBOZPHhh0BSUqRLQ0oJhkAQtUgXTEZGhrquGEJttcO2qxdbaevxAK++CpxyCvDFF8DIkZEukeNx20nfEMIQCOI4kvg0rxZqqxvqqxdbaLtrF3DttcAnn3i3+/QB7r470qVSQZId9A0xDIHwA4ZAEEIIITbm11+B/v2B1au9Uxg/9RQwfDjgckW6ZKQUYQgEUUtOTg5WrlxplkQX1FY31FcvEdf200+B007zGr8NGgDz5gG33krjV4u+YYIhEMRRuFwuVKxY0SyJLqitbqivXiKurcT7pqQAXboA77wDVKwYmXIoxRVpfcMEQyD8gCEQhJDCyHF7sHD1dmzecwDVy5fFyQ0rIzZG142CENuxZg1Qv/7R7YwM77YyI40EBkMgiFqkC2b58uXqumKIM7WdvmQjOo+ehUvf/Bm3TEozS9mW/cT5+hIbaiuZCMaMAZo2BaZMObpfQh9o/IaFHKVtl3MAEkcRExODatWqmSXRhdO0FSN36IRF2LjrQJ79mbsOmP00gp2tL7Ghtlu3Auef753UIjsbmD49vO9HVLddXbUh6tEai0Scpa2EPTw8NR2eAo5Z++S4nEecpy+xobZz5wLt2gFffQUkJACvveZ9kbDjUtp2aQATRyFdMMuWLVPXFUOcpa3E/Ob3/PoiZq8cl/OI8/QlNtJWQh5GjQLOPBNYtw5o1gz45Rfg//6PIQ+lRI7StksDmDgK6YKpVauWuq4Y4ixtZcBbKM+LBpykL7GRtnPmAPfeK1YYcMUVwO+/A23aUKJSJEZp22UaNOIopAumQoUKkS4GiXJtJdtDKM+LBpykL7GRtuL5veMOoEULYNAgen0jgEtp29VlzhP1SBfM0qVL1XXFEGdpK6nOaqaURWERcbJfjst5xHn6kghqK9eQWdw2bDi67+mngWuuofEbIXKUtl0awMRRSBdMgwYN1HXFEGdpK3l+R/ZpadbzG8HWthxnPmBn6ksipG1mJtCjBzBiBHDZZd74XxJxYpS2XV21IVHRFZOcnKxuNCpxnra9jq+JsVe0R2pK3jAH2Zb9cpw4V19SytrOnOmN7Z01C0hK8np8lRlcTsWltO0yBpg4CumCSU9PR8uWLREbGxvp4pAo11aM3LNbpnImOKX6klLQ9vBh4OGHgccfBzweoHVr4KOPgObN+fHbhBylbZdTIfsBp0K2Dx6PBwcOHEDZsmXVPY1GO9RWN9RXL0Fru3kz8L//eTM9CNddB7zwApCYGLayEt1td/fu3UhJScGuXbuKHbhHDzBxFNL4EvnjqBJqqxvqq5egtU1OBrZsAcqVA954A7j00nAUj5QQl9L7LgNsiOO6YtLS0tSNRiXUVjtsu3oJSFuZwtga3CYG8KefAosW0fi1MTlK77sMgfADhkDYqysmOzsbcXFxtu+KIYFBbXVDffXit7Zr13oN3QsuAO68szSLSKKk7e4OIASCHmDiODQF4ZO8UFvdUN8o1nbqVKBdO2D+fGD0aLFUSqtoJATEKrzv0gAmjsLtdmPx4sVmSXRBbXVDfaNU20OHgNtvB84/H9i+HTjxRGDhQkDhzGJacSu97zIEwg8YAmGvrhhphJKQ2+5dMSQwqK1uqG8Uart6NTBggNfgFYYPB558EkhIiFhZie62u5tZIIhmJBBf24w0xAu11Q31jSJt9+0DTjnFm+qsYkXg3XeBvn0jWURSAnIU3ncjWps5c+agT58+qFWrlnmq+Pzzz/Mcv/rqq81+31evXr3ynLN9+3ZcfvnlJti5YsWKGDx4MPbu3ZvnnL/++gtdunQxOezq1q2Lp2SeceJI5ClUEnJr64oh1FY7bLtRpq1keLjvPq8RnJZG49fBuJXedyNqAO/btw9t2rTBK6+8Uug5YvBu3Lgx9zVx4sQ8x8X4Xbp0KWbMmIFp06YZo/r666/P4w7v0aMH6tevj99//x1PP/00HnroIbwhOQeJIwPx27ZtqzIgP9qhtrqhvlGgbUYGsHjx0QM33eSd5KJ+/UgWj5SQWKX33YhOhHHOOeeYV1EkJCQgNTW1wGN///03pk+fjl9//RUnSmA9gJdeegnnnnsuxowZYzzLH3zwAQ4dOoR33nkH8fHxaNWqlcln9+yzz+YxlIkzcNKMNCQwqK1uqK/yNFkffIC4G26Aq0YNb17f8uVlBgUgLi7SxSMlxKP0vmv7gI4ff/wR1atXx3HHHYehQ4di27ZtuccWLFhgwh4s41fo3r27iVP55Zdfcs85/fTTjfFr0bNnT/zzzz/YsWNHge958OBB4zn2fQmW+1+Wxa1LvIzvunyBAl2XV/51IdB1KYfveiD1sFudJBfhihUrcPjwYTV10qhTMHWS1/Lly422WuqkUadg6yQvabvShrXUSaNOAdcpKwueIUMQP3AgXHv2wJOaipwj90zH1kmjTiWok/vIb7O0XafUyfEGsIQ/vPfee/j+++8xevRozJ4923iMrQpmZmYa49iXMmXKoHLlyuaYdU4NeSL1wdq2zsnPqFGjTCJl6yVxw8L69evN0grHENatW4fNEuRvcnyvxdatW816RkZGroG9atUqk5RZkC/Rnj17zPqyZcuQlZVl1iW+Rp6wBEk3Il8039Qjsi3rgpwn5wvy/3IdQa4r1xfk/eR9BSmHlEeQ8kk5BSm3lN9JdVqzZg1at25tHkq01EmjTsHUSbrX5IHWesjVUCeNOgVbJymHtF1rXUOdNOoUSJ3+ldy+nTohxgopvOceHPj6a6RLujOH1kmjTiWtU2xsLGrXro3//vvP9nWy6uGoNGjiVp8yZQoukBliCkE+rMaNG2PmzJno1q0bnnjiCYwfP954c30Ro/jhhx82HmOJ/23YsCFef/313OPygUoohCxbtGhRoAdYXhZibIkRLKLJDdp6ehFPc2HrYqRLnax1K31IIOuCXNN3Xb6IIlkg67KUbWu9uLLbuU5yHdFGumIEDXXSqFMwdZL3lwGsSUlJx5zv1Dpp1CnYOsly//79JqxN3kdDnTTq5HedPvgAGDIErn374KlWDVmvvYakCy8MuH62qpNGnUJQp5iYGPPbnJiYaJyMdq7Tzp07jRPUn5ngIhoDHCiNGjVC1apVTTeaGMASG2w9YVhI96lkhrDihmW5adOmPOdY24XFFssPtLzyY33Y1rKodd9g8VCvyxchkHV/yuuUOslLniCbN28ekvrZoU4adQqmTvLjJp4C0VZLnYpaj7Y6ib5W27XiCJ1ep5KuO7ZO4jd7/31vqrMzz4T7vfeQsXs3mh8xRBxZJ406hahOOUX8Ntu1To4PgciPuNSle7RmzZpmu1OnTsbal+wOFrNmzTJPAx07dsw9RzJDWLErgmSMkJjiSpUqRaAWpCTIl1u894F8yYkzoLa6ob6KkAcYMYBHjQJmzkRs3br8XVZMrNL7bkQNYHGpS0YGeQmrV6826/KkIcfuvPNO/Pzzz8ZrIHHAffv2RZMmTcwgNkHCFyRO+LrrrsPChQsxb9483HjjjRgwYIDJACFcdtllZgCc5AeWdGmTJ0/GCy+8gNtuuy2SVSdBIl0cEpJik8gdEkKorW6or8MZPx645Zaj2zL+5u67xTqitsrxKL3vRtQA/u2339CuXTvzEsQolfUHH3zQPGnIBBbnn38+mjVrZgzYDh064KeffsoTniBpzsQtLyERkv6sc+fOeXL8yiC27777zhjX8v+33367uT5ToDkT8e5v2LAhN6aI6IHa6ob6OhSZWOqqq2RmKuDFF4HvvjvmFGqrG7fS+65tBsFpmVuaEEIIUYGMrr/kEhmWL4GcwMMPm0wP4vUlxOn2mqNigAmxRnnyuU0f1FY31NdBiF/srbeAk0/2Gr8SUjhrFnD//QUav9RWNx6l910awMRRSBfMli1b1HXFEGqrHbZdB3HzzcB110liVUnID8g4nTPOKPR0aqsbt9L7LkMg/IAhEIQQQqKGr78G+vYFHnsMuPNOb/gDIQ6AIRBELfIEKqnwtD2JEmqrHbZdGyNd26tXH90+91xg5UpgxAi/jF9qqxu30vsuH+uIo9Aai0SorXbYdm2KTEXbvz/Qvj2wZs3R/fXq+X0Jaqsbj9L7LkMg/IAhEIQQQtTx229e43fVKqBMGWDCBO82IQ6FIRBELdIFI9Nfa+uKIdRWO2y7NkI8eZLT99RTvcZv/frA3LlBG7/UVjdupffdMpEuACGBkpWVxQ9NKdRWN9TXBuzYAVxzDfD5597tCy8E3n4bqFSpRJeltrrJUnjfZQiEHzAEghBCiAokl+/jjwPx8cCYMcCNNwIuV6RLRUhIYAgEUYt0wWRmZqrriiHUVjtsuzYygC+6CJg/H7jpppAYv9RWN26l911mgSCO49ChQ9BIjtuDBSu34Yu09WYp29GGVm2JF+obAbZtAx58EMjJ8W6XLQt8+inQoUNI34ba6uaQwt9mxgATRxETE4N6AaTncQrTl2zEw1PTsXHXgdx9NVPKYmSfluh1fE1EA1q1JV6obwSYNw8YMABYt86b5UEM4TBAbXUTo/S3mR5g4iikC2b9+vWqumLE+B06YVEe41fI3HXA7Jfj0YBGbclRqG8pIm3oySe90xeL8du0KXD++WF8O7ZdzbiV6ksDmJAIImEO4vktKNjB2ifHozEcIlAYQkIIgM2bvTO53XOPN+zhssuA338H2rblx0OIDwyBII7riqlduza0sHD19mM8v76I2SvH5bxOjatAMyXRliEk9kdb27UlCxYA/foBGzcCiYnASy95U56FOcsDtdVNjNK2Sw8wcRTSBbN27Vo1XTGb9xwI6XnRqC1DSJyBtrZrS8qV8+b5bdECWLgQGDy4VFKcUVvduJW2XRrAxHHES/5KJVQvXzak50WbtgwhcRaa2q5tOHjw6Hrr1sA33wC//gocf3ypFoPa6iZeYdulAUwc1xWTmppqlho4uWFlk+2hMB+N7Jfjcp52gtE2kBASElm0tV1b8P33QJMmwM8/H9135plAcnKpFoPa6iZGadvVVRuiHumCycjIUNMVExvjMqnOhPxGsLUtx+U87QSjLUNInIO2thtRDh/2pjQ7+2xvlofHHotocaitbtxK2y4NYOI4kpKSoAnJ8zv2ivZITckb5iDbsj9a8gAHoy1DSJyFtrYbETZsALp1Ax59FPB4gOuuAz7+ONKlorbKSVLYdl0ej7QgEqq5pQkJFolnla568WqKYSdhD9Hg+S3pZ9Z59CyTM7mgHzLXkQeJuSO68rMkzmf6dGDgQGDrVu+At9df96Y5I4QEbK/RA0wcRU5ODlauXGmW2hBjV1Kd9W1b2yyjzfgNRluGkDgHzW231GZ1O+ccr/Hbpo03t69NjF9qq5scpW2XBjBxFC6XCxUrVjRLootgtWUIiTNg2y0hp54K9O0L3HCDd9Bbs2awC9RWNy6l912GQPgBQyAIsT8MISHq+O47oFMnoHx573Z2NhAXF+lSEWJbGAJB1CJdMMuXL1fXFUNKrm20h5DYHbbdADh0CLjjDqBnT2DIEO9gN8Gmxi+11U2O0vsup0ImjkLyEFarVk1dPkJCbbXDtusnGRnAgAHAL794t6tWlTxUQGws7Aq11U2M0vsuDWDiyFgkog9qqxvq6weffw4MGgTs3AnI79y4ccAFF8DuUFvduJTed3WZ80Q90gWzbNkydV0xhNpqh223mOmMb7kFuPBCr/HbsSPwxx+OMH4FaqubHKX3XRrAxFFIF0ytWrXUdcUQaqsdtt0i2LUL+Ogj7/rttwNz5gANGsApUFvdxCi97zIEgjiuK4aTkeiE2uqG+hZB9erAxInA3r3AeefBaVBb3biU3nd1mfNEPdIFs3TpUnVdMYTaaodt14cDB7z5fMXotTjzTEcavwK11U2O0vsu8wD7AfMA2weZuTsrK8vMS64tKXe0Q211Q32P8O+/wCWXAH/+CYhXTbI+VKoEJ0NtdeNx0H2XeYCJWqTxJScn274RksChtrqhvgA+/BDo0MFr/Ep6s8mTHW/8CtRWNy6l912GQBBHIV0wixcvVtcVQ6itdqK67WZlAdddB1x+uTfO9/TTgbQ0oFcvaCCqtY0CcpTqy0FwxFHIKNQmTZqoG41KqK12orbt7t8PnHIKsHixuNKA++8HHnwQKKPn9hu12kYJMUr11dMCSVQgXTCJiYmRLgYJA9RWN1Grr9RZpjTevBmYMAHo3h3aiFptowSXUn11mfNEPdIFk5aWpq4rhlBb7URV2923D9i48ej2E094434VGr9Rp20UkqNUX2aB8ANmgbDXaNTs7GzExcWpC8iPdqitbqJG3yVLvFkeZOrY2bOBuDhoJ2q0jVI8DtKXWSCIamJjYyNdBGITbXPcHixYuQ1fpK03S9km9kV12/V4gLffBk46Cfj7b296M3lFCaq1JdCoL0MgiKNwu91mNKosSXRrO33JRnQePQuXvvkzbpmUZpayLfuJ/VDddvfsAQYOBK691jvJhcT8SshD06aIBlRrS6BVX4ZA+AFDIOzVFSONUEaj2r0rhoRPWzFyh05YhPz+Xuu/xl7RHr2Or0kJbITativpzPr3905wIV6yxx4D7rpLhs4jWlCrLXGcvgyBIKrRFohPAtNWwhwenpp+jPErWPvkOMMh7Ie6tithD0OGeI3fOnW8Mb933x1Vxq9abYl6faOvlRJHI0+h6enp6rpiiP/aLly9HRt3HSj0uBjBclzOI/ZBZdsVb9j48d5Bb+IJPu00RCMqtSXq9WUeYOK4QPy2bdtGuhgkgtpu3lO48RvMeXZCvNZiuEvZq5cvi5MbVkZsjL27HKOu7f7+O7BwITB0qHf7uOO8UxpHMWq0JVGlLw1g4rhYpAMHDqBs2bK2j0Ui4dFWDEN/8Pc8uyBxzRK64evdrplSFiP7tFQRz+z4tivhDi+/DNxxB3D4MNCqlXdKY+J8bUlU6ssQCOIopAtmxYoV6rpiiP/aildUDMPCfoZlvxyX85yCNagvf2hH5q4DZr+GzBaObrs7dgD9+gE33wwcOgScfz7QunWkS2UbHK0tiVp9mQXCD5gFghB7GoyCx+FZICTsQdK3FRbXLHVKTSmLuSO6qgmHcBS//AIMGODN6SuTWowZA9x0kzf+lxBiK5gFgqjuitm3b59ZkujVVoxbMXLFMPRFtp1k/EbToD5Htl0Jeejc2Wv8NmoEzJ/v9QLT+HW+tgTRri9jgImjkC6YjIwMNG/eXOXMNNFMoNqKkXt2y1THDxrTPKjP8W03Pt4b7/u//wFvvgmkpES6RLbEkdoSRLu+NICJo5DG10oGnxB1BKOtGLudGleBk9E6qM+xbVdmcit75LO+7jqgfn2gRw96fTVoS4IiVqm+HARHHIV0wUiMj7auGBK92moc1OdIfWWAz+jRwPHHewe9CRLqINMaM+TB2dqSEuFRqi8NYOK4rpgNGzaoG41Koldb8WJLqjMhvxFsbctxp4V2OErfLVuA3r29s7itXAm8/36kS+QobK0tKTFupfoyC4QfMAsEISTcaM8DbFvmzAEuvRTYsMEb+vDSS8DgwfT6EqLcXmMMMHEU0gUjX2z5gmtKyE2orZZBfY5puzk5wKhRwMiR3vCH5s2Bjz5ifl8N2pKQ4lGqLw1g4iikC2bLli0oX768qtGohNpqGdTnmLb72GPAQw9516+6CnjlFSA5OdKlciS205aEFLdSfRkC4QcMgSCEEGVs3w6cdpo37lcMYEKI4+FEGET1k+i2bdvUBeMTaqudiLddCXn45BPpz/VuV64MLF5M41eDtiSsuJXqyywQxHGxSDt37lSXjoVQW+1EtO3KALfu3b0TWowbd3R/GUYBhgL+LuvGo/S+y9ZPHIXEHzVu3DjSxSDhwBWDzaiIJYsz1Q0AIxFsu99+Cwwc6E11JjG+SUmUI8Twd1k3sUrvuzSAiaOQLpitW7eiatWqiIlhB4amFGCPTF2KctiPFbtccMPFFGDKKPW2K1MYP/igN9OD0KaNN8tDs2bhf+8og7/LunErve/qqQmJGrKysiJdBBJi43fohEXYtPsAqiYcTb+aueuA2S/HiQ5Kre2uWwecddZR43fIEODnn2n8hhH+LutGo77MAuEHzAJBopEctyfsOWnlPTqPnpVn8gdf5N1SU8pi7oiuDIcg/jNrljfmt1w54K23gEsu4adHSBSwmxNhEM1dMZs3b0b16tVVdcVE66xkYmBb7xEDD1pU8uDvHd4QCEGGXMhxOU9rftxooVTbbteuwBtveL3ACmMX7QZ/l3XjVnrf1VMTEjUcOnQo0kWIipCE/F7ZcIQkiHc5FxeQJDnWXcWcRxxL2NrumjVAz57AihVH9117LY3fUoS/y7o5pPC+SwOYOAp5+qxXr56qp1A7ISEJ4vktKNmNtU+Oy3mhQEIrLNweF37dGmOWRZ1HnEnY2u7nnwNt2wLffQf83/+F9trEL/i7rJsYpfddXbUhUdEVs379enUJue2Cb0hCQfiGJIQCiSuW0AoxeWNcHrSt7DZLC9kvx+W8SCNG/4KV2/BF2nqzDNVDQLQQ8rYrHqnhw4ELLwR27gROPtkb70tKHf4u68at9L7LNGiEkIBDDUIVkiCD6iSuWEIr8vt9rW05Hul8wAXFRFdMjMOg0xrgxq5NI16+qGPVKqB/f+C337zbt93mzfgQHx/pkhFCHAI9wMRRSBdM7dq11XXF2AV/Qw1CGZIgg+rGXtEe1SskIm370RAIyf4g+0M56C6UMdE792fjuZnL0eGxGUzVVppt948/gHbtvMZvpUrAl18CzzxD4zeC8HdZNzFK77v0ABNHIV0w69atQ506ddQ1RjtghSTIgDdPEWnJQh2SIEZut+bV8VPaP9gTWx7VKyTZYia4omKiLXZmZRsD2ddYL40UclHbdlu1Apo3905jPHEiUK9eKItJgoC/y7pxK73v0gAmjiOe3ZxhI39IgidEIQn+GISy3bJOZVul2ikuJtpCPicxlM9umYoZ6ZmlkkIuqtru6tVAnTpAXJzX0zttGlCxoneb2AL+LusmXuF9lxNh+AEnwiDRRijzAJdWTuFwIAPebpmU5vf5t3ZviudnLj/GY2yZ+nYI6XAc4uW9/nrgxhuPzuxGCCEFwIkwiOqumLVr16pMyWInxEgTb2ZJu/Gt+Nn8BqGVU9jXILSjtoHGOo+bl1FoCjmXj5c4GsMhAtZ3/37glluAN9/0bstUxtnZ9PraEDu2XRI63Er11VMTEjUkJSVFughRgRhpMvta37a1zTKYsIdAcwrbTVsrJtpfZGBcaaWQcyJ+67tsGdCxo9f4dbmA++8HZsyg8Wtj7NZ2SWhJUqgvDWDiKOTp004xoiR0OYXtqK0VE10c8mhQMcm/eNRondXOb33few/o0AFYvBioUcM7wcWjj3oHvRFbYse2S0JHjFJ9ddWGqCcnJwcrV640S6Irp7BdtZUQjdeuaF+ogWv5xQed2tCv60XrrHZ+6btxI3DDDUBWFtC1K5CWBnTvXprFJEFg17ZLQkOOUn1pABNH4XK5ULFiRbMkunIK21lbMYJ/v/9s3Nq9mZkAwxcrX/GNXZvkzmpXEHaa1S4S+KVvzZrA668DDz/s9fymppZmEUmQ2LntkpLjUqovs0D4AbNAEBI4EtvbefSsYnMKzx3R1VGDwopK6WYN+kMhKeSYBSIfHg8wbhzQuDFwxhmlIyAhRC2B2Gv0ABNHIV0wy5cvV9cVoxHf+Fl/pjl2irZFDQ60ZrUTw94Xu8xqF0mO0XfPHmDgQGDwYOCyy4Bt2yJdRBIkTmm7JDhylOobUQN4zpw56NOnD2rVqmVc659//nme4x6PBw8++CBq1qyJxMREdO/e3Yjgy/bt23H55ZcbS19c9IMHD8bevXvznPPXX3+hS5cuKFu2LOrWrYunnnqqVOpHQo8E4VerVk1dML5WAjEItWgrdRKv9sTrTsELA9qapWxHs/F7jL5//gmceCLwwQdAbKw3x69Ma0wciZa2S6JL34gOq923bx/atGmDa665BhdddNExx8VQffHFFzF+/Hg0bNgQDzzwAHr27In09HRjzApi/G7cuBEzZsxAdnY2Bg0ahOuvvx4ffvhhrju8R48exnh+7bXXsHjxYvN+YizLecSZsUhEX07hgrR16pTClpeY5NM3JQV44w1vft+DB4HatYFJk4DOnflRORj+LuvGpfS+a5sYYPmAp0yZggsuuMBsS7HEM3z77bfjjjvuMPskpqNGjRp49913MWDAAPz9999o2bIlfv31V5wo3gSJwZs+Heeee66Zt1r+f+zYsbjvvvuQmZmZO5Xf3XffbbzNyyTXpB8wBth+XTFNmzZFrHiOiFptnTyDHDmWnKws7OvXDxWmT/fuOPdcYPx4oGpVflwOh7/Luslx0H1XRQzw6tWrjdEqnlsLqVTHjh2xYMECsy1LeSqxjF9Bzhc3/S+//JJ7zumnn55nHmvxIv/zzz/YsWNHge998OBB8yH6vqzZUKxlcevyhfFdt54zAlmXV/51IdB1KYfveiD1sFudrAcj65oa6qRRp2DqJO029ciofzF+b/zgd2zatd9sx7o8iIHHDKiT/d8s3uCIOmnUKdg6uRISkJiUBE+ZMvBIGNrUqcipVMnRddKoUzB1EgeWOKekDWupk0adgq1TzJHfZuvaTqiTP9jWABbjV5BG5YtsW8dkKcmZfSlTpgwqV66c55yCruH7HvkZNWqUMbatl8QNC+vXrzdLCbmQlyCe5s2bN5t1mSpw69atZj0jIyPXwF61apV5GhHkKWqPDP4wkx0tQ5bkuwRMWMeBA15Pl4RpSDiHfElkXZayLeuCnCfnC/L/lidbrmvFSMv7yfsKUg4pjyDlk3IKUm4pv5PqJA9G8lS3c+dONXXSqFMwdZKbqDxsbtq02Xh+T67mQZMU7w9f5xoeNCjvzaxwZk0PXp+5xIRH2L1OGnUKqE47d0phzHvu3bcPcePGYfV77yFLcv3GxDizThp1KmGdDh8+jDVr1pg2rKVOGnUKtk4ul8sYlqKx3evkb8++rUMg5s+fj9NOOw0bNmwwg+AsLrnkEnPu5MmT8cQTT5j4YPHm+iJG8cMPP4yhQ4ea+F+JH35dckseQT7QVq1amWWLFi0K9ADLy0JuymIEi2jicbaeXuSpqLB14/FwuXLXZWl9ifxdFyzPmLUu3Q8iWSDrspRta724stu5TvJll4bSrFkzcw0NddKoUzB1kvMkrGlXfHVc/s6vxusrv05uuI5Zl9mTP7yuE05uUNHWddKok9912rYNMddfbzJ+5EyebB5e5LdaulHj4uKcWSeNOoWgTrLPCkm03svpddKoU7B1EkRfue9Kb7qd6yTOMXGC+hMCEfAguEceecTE5OafF3r//v14+umnTdaGUGB1hW7atCmPASzbbdu2zT3HesKwkCdRyQxh/b8s5X98sbatc/KTkJBgXvmxPmxrWdS6b5xMqNflixDIuj/ldUqd5MbZoEED4+m3knI7vU4adQqmTvLjJQ+rM//1egdyPEcHuxW0LgPj7F4njTr5VaeFCxHbv7+4e4C4OMQuXQrPCSeYtmsZv46rk0adQrQuy0aNGuUaKhrq5Lse7XXyHPltlrbrlDqFJQRCPKv504wJ4q6WY6FCPmwxUL///vs8nliJ7e3UqZPZlqVY+7///nvuObNmzTJPAxIrbJ0j6dbEc2ghGSOOO+44VGLaHcchX/Dk5GR1M9KQo9pWr5Do18cRrVMK2xpx0z/3nDergxi/DRsC8+YBbdqw7SqGv8u6cSm97wZsAFsB7/n5888/jds5EMSQTktLMy9B4jtlXeJF5D2GDx+Oxx57DF9++aWJ8bjyyivNACgrTELCF3r16oXrrrsOCxcuxLx583DjjTeaDBHWQKnLLrvMuOwlP/DSpUtN6MQLL7yA2267LdCqExsgXSDyXQgk0D3akVjZBSu34Yu09WYp23bWtkO9FE4p7ES2bwf69gXkt1UcDhdfDPzxB3DSSeYw265eqK1ucpTed/2OARZvqRilVlyFrxEsH4oYs0OGDMErr7zi95v/+OOPOOuss47Zf9VVV5lUZ1K0kSNH4o033jCe3s6dO+PVV181cSgWEu4gRu/UqVONm71fv34md3C5cuXyTIQxbNgwky6tatWquOmmmzBixAi/y8k0aPZBvhMS6C55oLU9jYYDJ6US89X226WZnFLYSchtpEsXr7dXMu6IF3joUHEd+ZzCtqsVaqsbj4PabiD2mt8GsAw2k1NlEonnn3/evIGFeFgltssKTdAGDWDiVON36IRFZvCRL9bPl92n5nWS8U7gNX6vu847u1u7dvxICCE6DGCL2bNnm+wMMggpWqABbL+umNatWwcU7B5tSJhD59Gz8hiP+Y1gmY5Ypui1y8xqBWnr1JngooItW7whDj16HN0nXaSFtEu2Xb1QW93kOOi+G9aJMMqXL2/SYVh88cUXJib33nvvxaFDh4IrMSF+ImEuVqodUjhiNBZm/Ary1CvH5Tw7a2tNKdy3bW2zpPFrE+bMASQbj4zHWLr06P4ibo5su3qhtrqJUXrfDbg2//d//4d///03N4lx//79TUq0jz/+GHfddVc4ykhIHuz+BGoHxGMayvNKC2prcySf5+OPAzJ2Y8MGoF49b/yvn1BfvVBb3cQqvO8GbACL8Wvl4RWj94wzzsCHH35oBq19+umn4SgjIbn4zgBDSp4izE6pxKitzZH86b16Afff7zWEBw4EfvsNOP54v/6d+uqF2urGrfS+G1QaNOtDmDlzJs4991yzLjOlWVPdERIupAtG4pC0dcWEGomVlQFjhUXLyn45LufZBWprY2bN8oY8zJgBJCYC48YB770H+GTbKQ7qqxdqq5sYpffdgGtz4oknmty877//vhkQ17t379wcvjVq1AhHGQnJg7ZchOFAYmUlW4KQ3wi2tuW43WJqqa1N+fFHIDMTaNXK6/W9+uqgLkN99UJtdZOj8L4bsAEsKdAWLVpkcu/ed999aNKkidn/ySef4NRTTw1HGQnJRXof0tPT1XXFhANJFSapziTbgy+ybccUaIVp65SJPFQjU9yPHm2mOEZL74NVoLDt6oXa6sat9L4bcBq0wpAkyRIkbc0VrQmmQSNOxsmpxJgLOEJ89514O4ApU4CEhEiVghBC7JMGTZBZ2d566y3cc889ZiY2QZ4ONm/eHMzlCPEbeV7bv3+/WRL/cEoqsfzaWhN55E/nlrnrgNkvx0mIOXwYuO8+72C3b77xzugWIth29UJtdeNRet8N2ACWaYWbNm2K0aNHY8yYMcYYFj777DNjEBMSTqQLZsWKFeq6YkhebcVrLbPAFfRza+2T4wyHCCHr1nnTmz3xhDe12ZAhwPDhIbs8265eqK1u3ErvuwEbwLfddhsGDRqE5cuXm3mhLSQbxBxJjk5IGJEwGyfMRkNKpm1JJ/Jg3HCAfP21N8vD3Lky2xEweTIwdizg8xtfUth29UJtdROr9L4b8HzGv/76K15//fVj9teuXRuZMkqYkDAiXTBZWVlm8hWXy55d+aTk2pZkIg/GDQeIGLo33OBdb9/ea/weGdwcSth29UJtdeNRet8N2AOckJBggowLmiCjWrVqoSoXIQUiXTAZGRnqumJIXm2DnciDccNBIPG+KSnATTcB8+eHxfgV2Hb1Qm1141Z63w3YAD7//PPxyCOPIDs722zL08DatWsxYsQI9OvXLxxlJCQX6YJp1aqVuq4YklfbYCbyYNxwACxbdnS9YUPv9osvhjXjA9uuXqitbmKV3ncDNoCfeeYZ7N27F9WrVzejAmUqZMkFXL58eTwuc8QTEuauGOmB0DYa1a6UZiytr7bBTORR0rjhqODQIeDWW725fKdPP7o/NTXsb822qxdqqxuP0vtuwDHAkl9txowZmDdvHv78809jDLdv3x7du3cPTwkJ8UG6YDZs2GAykWh7GrUbpR1Lm19bayKP/GVILaQMJYkbjgpWrwb695eBHN5tWUr4QynBtqsXaqsbt9L7bsATYbz33nvo37+/iQX25dChQ5g0aRKuvPJKaIMTYZBow4qlzf/jYPlbS3MmOX8n8hAP9aVv/lzs9SZed4rJhxxVfPopMHgwsGsXUKkSMH480KdPpEtFCCHOmQhDUqDJhfOzZ88ec4yQcCLPa5J7WltXjJ2IVCxtYdr6O5FHMHHD6jlwALjxRuDii73Gb6dOQFpaRIxftl29UFvdeJTedwM2gOUDKCgNxrp164zVTUi4u2K2bNmibjSqnYhULG1JtQ0mblg9Euf7yive9bvuAmbPBurVi0hR2Hb1Qm1141Z63/U7Brhdu3bG8JVXt27dUKbM0X/NycnB6tWr0asU48lIdCLxRxKHRMJHpGJpQ6FtoHHD6rngApm9COjWTWYrimhR2Hb1Qm11E6v0vuu3AXyB/JBCes/S0LNnT5QrVy73WHx8PBo0aMA0aCTsyBPojh07UKlSJcTEBNyBQfwg2By8JY3pLUpbf+OABTFyz26Z6vf5qti/H3joIeCOOwArL/szz8AOsO3qhdrqxq30vuu3ATxy5EizFENXBsH5ToNcEBMnTjQ5g5OTk0teSkLyxSJVrFiRn0mYsGJpM3cdKDAO2HXEoxpMLG1RmSXOblG9QG2DyUZhxQ1HFZLL95JLgMWLgSVLgGnTJFE77ALbrl6orW48Su+7AWeB8BcZfSfe4kaNGsHpMAsEidYsEIInRFkggsksYadsFLbm/feBoUOBffuA6tWBDz4AmJqSEBJl7A5nFgh/0TZakNinK2bz5s3qgvHthhVLK55eX2Q7GKPTn8wSj0xdisxNR7XlzG5+IAbvNdcAkn5S1s86y5vlwYbGL9uuXqitbtxK77sBT4RBSKTJysqKdBGiglDG0vqTWWLT7gNIX7sZ1atVDTgbRdSFOwirVnnTmaWne0MdJEzt/vtlxArsCtuuXqitbrIU3ndpABNHIQH4EodOSodQxdL6kzEix+PCnrijgyw4s1sxVKnizfMr0xh/+KHX+2tj2Hb1Qm11E6P0vqtnOB+JCqQLJjMzU11XjHb8yRgRAw9SPPtytQ13NgpHIl4YK7xM8q5/+aU35MHmxq/AtqsXaqsbt9L7Lg1g4jhk2m27IHGqMgXvF2nrzTLUs6Npwd9Z2hpWPmrMcma3fPz1F9C+PfDqq0f3tWoF1KgBp2CntktCC7XVzSGFbTdgA/iqq67CnDlzij2vfv36iIuLC7ZchBTaFVOvXj1b5CKUDAWdR8/CpW/+jFsmpZmlbMt+EvgsbQ/0aYX69Y9qy5ndjiAe3zfeAE4+GfjnH+C55+Ru5LivmJ3aLgkt1FY3MUrbbsC1kdQS3bt3N7OCPPHEE1i/fn2B5y1ZsgR169YNRRkJyUW6YOQ7F+muGCs9V/5BWpI7V/bTCA48s0SPljWO0TbU2Sgcx+7dwGWXAf/3f8DBg0Dv3sDPP8vsQ3Aadmm7JPRQW924lbbdgAfBff7552ZO6Pfffx/jx483E2SIQTx48GD07duXXl+inuLSc4lHU45LBoWomH0sRJklCvtxjdqZ3RYtAvr3B1asAGTq+VGjvNMaK/PCEEKIIyfCWLRoEcaNG4e33nrLTI98xRVX4IYbblA1bzQnwiC+SKyvhDsUx8TrTonO9Fyk5GzZItNuege91asHTJoEdOrET5YQQuwwEcbGjRsxY8YM84qNjcW5556LxYsXo2XLlnhO4tQICTHiJVy7dm1Eu2KYnkuvtrahWjVvTt/zzwf++EOF8Ut99UJtdeNW+tsccAhEdnY2vvzyS+P1/e6773DCCSdg+PDhuOyyy3Kt7SlTpuCaa67BrbfeGo4ykygnPsLxj0zPpVfbiPLrr0C5ckCLFt7tESO8E1zISwlRra9yqK1u4hW23YAN4Jo1a5qngEsvvRQLFy5E27ZtjznnrLPOQsWKFUNVRkJykVGoqZL4P4JY6blkwFtB8UOuI4O05DziLG0jgkShvfACcNddQLNmwMKFQFKSuljfqNU3CqC2uolR2nYD/oWV0IYNGzbglVdeKdD4FcT4Xb16dSjKR0ge5OErIyMjol0xTkjP5cT8xHbQttTZvh244AJAesuys4HmzYHDh6GRqNQ3SqC2unErbbsBe4AHDhwYnpIQ4idJ4h2LMFZ6Lsn24JsKTTy/YvxGMj2XpGDLX66aNiiXU7QtNRYsAAYMANau9aY1k3ETQ4eqCnmIan2jDGqrmySFbbfEWSCiAWaBIIUhnlU7peey8hPnb9RWiaIid67dES/KM88A997r9fY2aQJ89BHQrl2kS0YIIY6m1LJAEFLa5OTkYOXKlWZpB8TYlVRnfdvWNstIhz0UlZ9YkON2DYewm7ZhNYCnTvUav5de6s33GwXGb9ToG4VQW93kKG27AYdAEBJJXC6XiTGXpdMIt7dYrp1/ZjpfxOyV43KeHfMTO1nbgJBJLT78EPjuO2DQINUhD1GpbxRCbXXjUtp2aQATx41GrVLFfsabHeJynZ6f2Kna+uXxffJJ74C3MWO8++rUAa65BtGEWn0JtVVOjNK2yxAI4iikC2b58uWO6oqx4nLze2cljZrsl+OhwOn5iZ2obbFs2gT06gXcd5837ve33xCtqNSXGKitbnKUtl0awMRxT6LVqlUzSydQmnG5Vn7iwjqpZH9NG+cndpq2xfLDD4CkipwxA0hMBMaNA048EdGKOn1JLtRWNzFK266u2hD1OC0WKZC43GjITxwubW2V91i8JA8/DHTvDmRmAq1aeT2/V1+NaMZpbZf4D7XVjUtp22UMMHFkV0zTpk0RGxsLu1PSuNxAB87ZOT9xuLS1Xd7j//1P5oP3rkuc70sveWd2i3Kc1naJ/1Bb3eQobbs0gImjkC6YWrVqOaYrpiRxucEadnLs7JapAWecCGeWCn+uHYy2heU9tuKrI5L3+LLLvGEPY8cCV1xRuu9tY5zWdon/UFvdxChtu5wIww84EQYpieHXefQsY5AV1CnvOuKdnTuiax6DsLQntCjK2A7GmPb32iWpg/XZFhZiUthnG3Ikn+/KlcBxxx3dt3kzUL16+N6TEELIMXAiDKK6K2bp0qWOGY0aTFxuaU9oUVSWiiETFqHDYzNw6Zs/45ZJaWYpRqe/mSsCyYARqLalGV9dKOvWAV27Al26ABs2HN1P49fxbZf4D7XVTY7StqvLn03UI10wDRo0cFRXjBWXK95IX2S7IE9uaRp2/hjbO7Oyg0rfFqghH6i2Ec97/M033iwPP/0EHDgApKeH532U4MS2S/yD2uomRmnbZQwwcRQyCjU5ORlOI5C43NI07IoztgtCzFXXEeNV6lRYeEGgM9MFqm3E8h5nZwP33w889ZR3u317YPJkoEmT0L6PMpzadknxUFvduJS2XV3mPFGPdMEsXrzYkV0xYiiKode3bW2zLMxwLE3DLlgj2h8vdKCGfKDaRiTv8dq1wBlnHDV+b7oJmD+fxq/ytkuKhtrqJkdp26UBTByFdME0adJEXVdMpAy7khrRRRm5gRrygWobkbzHYvguWACkpACffgq8+CKQkBC66ysmGtputEJtdROjtO3qqg2Jiq6YxMREdQm5I2XYFWdsF0dRRm6ghryEAqdtyMKXf27wezKLQOOrS8zo0d7UZn/8AVx0UWivrZxoaLvRCrXVjUtp22UaND9gGjT7dcW0bt1aVULuSE7wYGVqEPzNK+FvirHCrp0/nZuc99i0pTi1chY+Wx2Dwx5XQHUNWw7j1auB114DRo0SN0jJrxfFRFPbjTaorW5yHNR2A7HXaACH+AMl4cXj8SA7OxtxcXHqnkZLe3KK4oztiklxJgOEqxjjNZhr+xq3R3Mee5AYC+w3YWausOU89pvPPvPO5LZrF/Dss8Ctt5Z+GRQRbW03mqC2uvE4qO3SAI7gB0rC3xDdbreJRbJ7Q3SysV01OcFYurP+3oQpaeuxfd/RVGhVkuPRt20tkwHCX4O8MEM+72QWHpRxAYeNte0q3cksfDl4ELjjDuDll73bnToBkyYB9eqVzvsrhW1XL9RWNx4H3Xc5EQZRizRC6YqRJQlPloqEMjG445M/cflbv+DteRnG+K2cHI9uzauhcnIctu07hHfmZQQ0KUZhGTB8U6WJ8XtRQ7dZlupkFr6sWAGceupR4/euu4DZs2n8hgC2Xb1QW924ld53GdRGHIU8gUockrbRqHahsJnbtu87hO+XbcnjCQ5kUgx/skiI59cb/1v0eWFj6lRvTt9Fi4AqVYCvvvIOeouLC/97RwFsu3qhtrqJUXrf1VUbEhVoy0VoF4qaua0wSjo1c/4sEnExpTSZRUHUrOmd0U2mNU5LA849N/zvGWWw7eqF2uomR+F9lwYwcRTSBZOenu6orhgxDCWt1xdp6/1O7xWJsr07b3XAs8KVNEzBN1WahD70qZ83BCIsk1n4sm/f0fUTTwR+/BGYNQuoUyc87xfFOLHtEv+gtrpxK227zALhBxwER+yeyixUZSsJLwxoa2J8gymHP6nSQs6ECcDw4cDMmUDbtqG/PiGEkFKFg+CI6tGo+/fvN0unxtOWNG42nGUrCcGGKRydzCIBFeI8cB0xgwOZzCIgL3tWFjB4MDBwILBt29EBbySsOKntksCgtrrxKG27ZSJdAEICQbpgVqxYgZYtW9o6IXdR8bSeI95NOS6pxEotvZcfZQuWiolxJQpTECO363HV8OMvi7A/uSaqV0jyO8VaQF729HTgkkuApUtleiNg5Ejg/vuDLjfR13ZJ4FBb3biVtl0awMRRSOOT0ah2mkSiIHzTexUXNytpwUqT4soWDINOa1DizzY+rgx6dD45oP85OokGCvSy53qQxXPx7rvAsGHA/v1Aairw4YfAWWeVqMwkPG2XOAtqq5tYpW2XBjBxFNIFk5WVhaSkpCITckc69tbftF2lkt4rzO9ZKSkON3ZtWmraBuVln/qld1Y3oUcP4P33gerVS1xmEj59iXOgtrrxKG27zAJBHNcVk5GRUeRoVDvE3vobD1sq6b2CfM8HercwA9tu7e41bgv62ZN9oy5qHRLPuj/aButlR58+wDnnAI8/DnzzTZHGr52zdjiZQPUlzoHa6sattO3SA0wc1xXTqlUr28feWum9xOguqCzWFL9hS+8VgrJdfVrD3M/ouNTyYfeoF6dtQJ5sjwfn/z0H3zXt6D1PErhPm+ZdFkGkew40E6i+xDlQW93EKm27NICJ47pi9uzZg/LlyxfYFVMasbf+xBbLthhN4nF2FZLeS46X9gC4YMsmxp88NIQzpro4bf31ZJc7mIUnvn3ZGMATT+iB6jec6T3gh/HrVzwxKRV9iXOgtrrxKG27DIEgjkK6YDZs2FBoV0y4Y2/FSOo8ehYuffNn3DIpzSxlu6CwiqPpvfIaaoGk9woXwZRNjF15aJBcv7IMtfFenLZFTaJh0WrTSkwdf4sxfg+7YrCtVn2c3KBSsdcqruegJLPdkeD0Jc6B2urGrbTtciIMP+BEGM5BYjbFKC2OidedErAHuDAPYXETNkQyG0Vx2LlsAU2i4fHg8j++xgOz3kRCzmGsr1ANN51/F64fcblfDxrh/N4QQgixn73GEAjiuK4Y+WLLF7ygrphwxd6WJLbY8pzaETuVrThtC0KM2zf7NkHM9dej65I5Zt+MJh0xZsAI3Nr/FL+97HbO2qGFYPQlzoDa6sajtO0yBII4CumC2bJlS6FdMVZ8q5C/mZYk9jagjAMBEK0ZBwqqd3HaFkb3usk4a+NSuOPisPjOh1Dum2n4+uELAgoxsXPWDi0Eqy+xP9RWN26lbZceYOK40ahNmzb1K741/2j+1BKM5g+HhzBaMw4UXW8/8wnLxBaWJ6JOHbgmTYIrJQWtTzopqDLt2HcI8kxU2PNHJLN2RFPbJc6E2uomVmnbpQFMHIU8ge7YsQOVKlVCTBGj+kOdtSDUHsJozThQVL2HTfgdL/Vrhl4dmhSpLbZvBwYPBq6+Gujb17uve/cSlWnYh8eWKT+RytoRbW2XOA9qqxu30rarpyYkamKRdu7caZbFEcqsBQVlHPBF9tf000MYrRkHio2jdgHfLFqJwzlFdLP9/DPQrh3w+efAkCHAgQNhK5OFfG1euaydygcSu7Zd4iyorW48StsuDWDiuK6Yxo0bm2Wpvm8IY4vDFU9sd4qr92GPC1NXu/H72l3HHpTYszFjgC5dgLVrgcaNga++AsqWDWuZzFt7gErJCSV6HxK5tkvCD7XVTazStksDmDiuK2bz5s0RCcYPVV7faM04UFx9YuBBsxQ3Nu/en/fA1q3A+ecDd94JHD4M9O8PLFoEtG9f4oGG0apFtLVdEl6orW7cStsuY4CJ48jKyorYe4citriqn95EbRkHiquPhEBUTQCqlUvIG+8rIQ/r1gEJCcCLLwLXXXd0AFwJBxr6+xkv37THGM9Oy5NsNyLZdkl4oba6yVLYdm3tAX7ooYdMzjnfV/PmzXOPHzhwAMOGDUOVKlVQrlw59OvXD5s2bcpzjbVr16J3795ISkpC9erVceedd+KweJGII5EA/AYNGkQ0EL8kscVikN3+8Z9FnhNIPLGTKC6O2u1xYfXBJHRsXPXozsqVgT59gOOOAxYuBK6/PiDjVwbc5Q9xsAYayvHiymTx8g8ri5z1jzij7ZLwQG11E6O07dq+Nq1atcLGjRtzX3Pnzs09duutt2Lq1Kn4+OOPMXv2bDNV30UXXZR7PCcnxxi/hw4dwvz58zF+/Hi8++67ePDBByNUG1JSpAsmMzPTkV0xlkGWubvw7vSS5Cq2O8XFUUsIxP1da8K1eRPg+yD77LPAb78BJ5zg93v5O9BQKKxMBeFrPJPoabukaKitbtxK267tDeAyZcogNTU191W1qtc7JLOSvP3223j22WfRtWtXdOjQAePGjTOG7s8yUhzAd999h/T0dEyYMAFt27bFOeecg0cffRSvvPKKMYqJM3Gidv5kGxBqVEhQmwKtuDjqly9vhxMzFsMlsb2XXipPsN6DMtCtXLmA3ieQgYaFlamw/9OapaM0cGLbJf5BbXVzSGHbtb0BvHz5ctSqVQuNGjXC5ZdfbkIahN9//x3Z2dno7pP/U8Ij6tWrhwULFphtWbZu3Ro1atTIPadnz55mruilS5cW+p4HDx405/i+BOvpR5bFrYv32XfdSh8SyLq88q8Lga5LOXzXA6mH3eokL9HYuqZT6vTLqm3YcmRwlwsexLo8x6yLB3TMxScYg8wJdQr2uyf1m3Pnmfjw2pPxwoC2Zjnnti44Z8rbqH7ZZXBt3Gg8wG4fj0Ogddq8O8t8tkIZ8/l6X/nXJY5b/ufsFtUxd0RXfHhtR9x0ZqMidZJ1GagnxrNmnUJdJwlhk7ZrlVVDnTTqFEydRNvatWubLnItddKoU7B1iomJQZ06dXKv7YQ6Od4A7tixowlZmD59OsaOHYvVq1ejS5cu2LNnj3HHx8fHo2LFinn+R4xdOSbI0tf4tY5bxwpj1KhRZs5r61W3bl2zf/369WZphWMI69atM6MjBTHOt8qIdQAZGRkmcbSwatUq47G2DHopv7Bs2bLcwHLxVEtMs7B48WJj3MuXRNZlKduyLsh5cr4g/y/XEeS6cn1B3k/eV5BySHkEKZ/1ECHllvI7qU4rV640Omzbts1RddqyYzfOqett9DUSgbNre9drJwNn1vQ27gblgW2Z646pU2bmJvy4aJnJYjA7bTnWb3D+d2/b1i2oE7/fxFE33LMOOd26AiNHwuV2I0uyPCxciLXZ2UHXKXHfRpSPM6u4qKEbibFiCHvXZSnbsi6D4Kw6SYhGm5qJaJKwu1idOtfwGs9O+O7Z5TdCHAnSdv/++281ddKoUzB1EqeR9LzKupY6adQp2Dq53W78+++/xgaze52seviDy2OZ1g5AEjHXr1/fhD0kJiZi0KBBpuH5cvLJJ+Oss87C6NGjcf3112PNmjX49ttvc4/Lh5qcnIyvv/7ahEQUhFzT97rywy1GsIgmBrf19CJPRYWtWx4Pa12Wsh3IuiDX9F2XPHwiWSDrspRta724stu5TjKAURqVPMjIdZ1Sp/krtuLKt382uW7FgyjhvTn51sUDPGFwR5zatFpuGb9L34RHpi41ccMySCzG5UHNCmXxQJ9W6NGyhvO/e7NmwXP55XBt3gxPcjK2P/YYUm680YQ+laROh7IP44wxPyJz10HjuT185FdOjF9Zl3jf2hXLYvZd3bxTIPuUfcGKrbjs7YVF6iTj8CZc2wkdG1ay/XfPLr8RluNBBiOLvhrqpFGnYOokSxmDI15gOUdDnTTqFGydXC6X0Vfuu3Fxcbauk9iJlStXNoZ1hQoVoCYNmhifzZo1w4oVK3D22WebmBSprK8XWLJASKywIMuFMnLcBytLhHVOQSQkJJhXfqwP21oWte6bMDrU65bh5++6P+V1Sp2k8cmPrC9OqFPHRlVQrUKiGUTlgQs5Rwwya10MshopibkZEKSMeacN9g7REiN4w66DZv/w7s3QoGrSManYHPPdk2wst9xijF+0bg3XRx+hik+Wl5LoFB9XBiP7tDKfkxitFpbxK9x/XqtjPjMpu2ggmSFEq/w6Wes1Kng/8xifgYp2/e7Z6Tcif9vVUKeSrGupkyytntJA62fXOgVaD+11qlOnjqPq5PgQiPzs3bvXdIHXrFnTDHoTY+j777/PPf7PP/8YV3unTp3MtizFNW654YUZM2aYp4KWLb0jv4mzkCc90dh6onQKgc4kV1wWA3k9N/Nf3DIpzbnpucqUASZNAoYNA375Be5mzUKqbbATl4Ry1j/i/LZLiofa6sattO3aOgTijjvuQJ8+fUzYg7jfR44cibS0NBMTUq1aNQwdOtSEMkicsBi1N910k/k/yQQhiLtcsj/IILqnnnrKdL8NHDgQ1157LZ544gm/yyEhEBIL7I9LnYQXaYDyQCPdqL5PlU6huIkZLGTSBTFs/cUyxWyfQWL6dAkCA4YMKTVt5WEimIlL/NWKREfbJYVDbXXjdlDbDcRes7UBPGDAAMyZM8cMeBKDt3Pnznj88cfNnNRWwPPtt9+OiRMnmphdyfDw6quv5glvkBhgMZR//PFHE/t71VVX4cknnzQxaP5CA5iEEn8MMhnwJt7dQHAd8W5KNoPS8k76bVxmZwMPPACMHu31/Eqqwg4dYHeCNZ4JIYSUPmoMYLtAA9g+WF0xkk7J7k+iJSFQD7AvE687xcxQF2789pDKaGHJ63ukZ8aEPIwZ483vG4XaRivUVy/UVjduB/02B2Kv2bsmhBSATGutHX+n6C0I8VaGG3+mGTZMnQq0a+c1flNSgE8+AV5++RjjN5q0jWaor16orW6SFP420wAmjkKePp0Qh+TbhS7eXAlpkKW/s4cVNRCrOKomH5vBJJT4O82w++67gfPPB7ZvB046CVi0COjXT422JDCor16orW5ilP4266oNUY8MbJRMIIHM9hIpxAsq2RkklCGQbA2W0XzwsBvDuzc10yMHwu0f/xnWjBD+TjO8pkx5747hw4G5c4FG3hnWNGhLAof66oXa6iZH6W+zo/IAEyJ5/iTvsyztTN4cvseGCBSWraGguNrUCmVx65Gcvxlb9+G5mcuNV7gwX/Km3UW/R0kHfhUVYpF8MAv7ErxdZX/1uwoNe3eVfISqtCXBQX31Qm1141L620wDmDgK6YKpUiX8A7zCGSIgPyFy/OyWqXkMy8KMZjFon5/5rzFob+neDMellsdDX8rscHlnQfTnPUIxsE2M4vzEH87GvT+8jS4Zf+D8K58zRnD1ColAO/+MX6doS4KH+uqF2uomRulvM0MgiKOQLhiZM9zOXTH+hgjIeYHG1cp5Yog+c0nbIstQ0HuEamBb/gF69XdswKcT7sDVi6ah8fb1OGvVb+a4nKdNWxI81Fcv1FY3OUp/m2kAE8c9iUpOaDsH4/ubhcH3vECN5q17D4a0LIEY4L4D9M77+ydMe/cWtN60EtsTK2DQxSPxVYvTg5opzQnakuChvnqhtrqJUfrbzBAI4shYJDtTUIhAcecFajQH8x5FxfgGYoBLjuFejSti9qrJqPfl++b4wjotcXOfu+CqWwdjg5gpLW+ZcjjhhEKc0HZJcFBb3biUtl0awMSRXTFNmzZFbGws7IgYlBWT4rAzK7vQcyolxeUJEQjUoN2xr3gPcEFhCIXF+J57/NHZE4si11C/807U+/h9eFwurB96KzIH3YznKpULynC1yrR5936cXduNGetjTPwwpxzWhRPaLgkOaqubHKVtlwYwcRTSBVOrVi3Hd8XkDzWw4mol3tZTxDTHcp54Sx/96u9i3+OB3nnDEIrKTPH2vAy/yp1rqMu0xnPnwvX006hz9tmog+DwLZOUNG1bDCRVcnHZMojz0NJ2ybFQW93EKG27umpDVOI7mcTPq7YjuVx5W6djka78ory/ghz3HaAmhuoDvVsUavwKVlxtceEKFpWS4wOK8RVbubBPNTH7AAat+umoR7lGDe/EFmefHfQkIPnL5IELmftdZpk/7tiOk5WQwJA2K1OT2rntkuCgtrrRqi89wCTofLClQf4u+zIuD/7XJAann9QG55xQG3bE33jeb3yyKsxIzyzUqyueX99wAH+vP2/FllzN/DGaLbsvf47hplvX4uUvnsRxW9cCF7UFBgzwHijCG+BPOrX8ZRJtz6nrxjf/xeCwx3VM3HE48KecJHTdqMuWLUPz5s1VdaMSaqudHKVtlwYwsa1hUFCXfY4HmLHWjcnL/8CrMTGlVpZAHgb8jed9b8Ea8youXlhCGXzr6e9Uxy//sBKfLlpvNJNZ5fzhmtMa4Jslmbm6X7x4Jh6bMRZlsw8Cqalez2+IJgHJb8iLtvM3xZilL/4a/KU1WQkJDuk+bdCggbpuVEJttROjtO3qqg0JCf7mgw0nhXXZS/f41oPebvLS6B4PZkrj/Hlyi6Mo41eu8ehXR+sp7ylTHfuLpVnG1iy/zpeJM+aO6IrJlx2POUvfxZivn/cav927A2lpwFlnhSydWn5DXjTddkTbYB4oAiGQcpLQIN2nycnJ6rpRCbXVjktp26UBTGxpGBTWZS/d5Bc1yEGsyxPwRA+l9TDgmye3pD8XvmEAVlkyd/vvEbVUmvTrWqRWSCi0PC6frBGxS5egY/9eqDftE2+Yw2OPAd9+65f31990ai/PWn6MIW9pK8v8ZbLDZCWk5N2oixcvVpdMn1Bb7eQobbs0gIktDYPCur2le3zm+qPd5OHqHi/pw4B0nUsXeo0K/oUrFIcYvYWVpTgszS49uZ7ZdhUzyA5r1gDLlgG1agE//ADcd1+R8b6++KvHczOXH2PI+2p7TJlsMFkJKRnSfdqkSRN13aiE2monRmnb1VUbosYwKKzbW7rHd2cf7SYPR/d4aB8GQmO8bd970K/MD0XRoGqyMcplUJ0vsj328nZH413POw/ut97Gr1Nm4YsKjQPKjFASPXy1lQeHcMbglmQiERIc0n2amJiorhuVUFvtuJS2XQ6CI7Y0DArLi2u6yRu6MWV1DKpWSAxL93gwDwP5B8nt2HcIwz48doBVMMjnUNknpVmwZGzdh1u6NzNxvnkG9O1cg9jrLgI++gioV887AHJzfWz8bEXAAyCLy2dcFJa2n62OwTOXtMVpTaoiXASSd5mEthu1devWqkaSE2qrnRylbZceYBLQAK5wxmX6E0d72ANMWyNpssLXPR6okS+GZf5BcjdODI3xK+zPzsHa7f4NYisu7ECMW/nMJK1Y3za10OnbyYg9tRPwyy/AHXeUeABkUfHPxSklmk49ou3WvcXPdFcS/ClnuL9f0YZ0n7Zs2VJdNyqhttqJUdp2ddWGqDIMrDja/F32lcuXxauXhz9FlT8PAzKlsRiW+Q3GYMYIJscX/GS9KyvbvIekSyvJp+7yjVnetQu45BJg2DDg0CGgTx/kvDo2JAMgC9NNtm/t3qzI/812l17oQVHlZAq08KDJe0TyQm11E6uw7bo8Hg/z/BTD7t27kZKSgl27dpnZUKIBO+QBtvANL6iWHI/Evetxwgml0xVjeUQF34ZiGaIpxeTw9Zfh3ZqaTA2Zuwv2fLqOvJcYw4WVpfcJNTHtr+JT1H15SgJOuP3/gFWrgLg4YPRoYPhwLFi13Xivi2Pidaf4NTFFQbmTBfGWFxR6ICEQ/Rq6MW97Embf1a3UvK92mPAlGtDajUqorXZyHNR2A7HXGANMCkSM3GNiRSNkGFhd9oI8r7ndlUutK8byEuZ/GBAv4YCT6uG5mf+G5H0Ouz2FGr+CGItiaIsHVQzl/GWxJrsozgDutOZPHP/MQ8DhbKBBA2DyZODkk40ROG/F1pDGRvvq5ouUVR4q8s84J9kfJP73xctKN/SgsHKS0CJtVm6g2rpRCbXVTozStksDmDjOMJCn0dJsiIU9DEz7a0MI38W/jpht+w5izP/amNO37juY58FEsjUUx6JazbGjfmMcrN8Q68a8jA5tGmJGAd7+oihpeEJRDxUPnnscZ19TTGm3XVJ6UFvd5ChsuzSAiaNwu91IT08v9a6Ygh4GQhGnamUb6NSoqpm62N/pk61wFN8yFZbZoPnm1fi3aj24Y2KRHZ+Arr1HYlfZcsDkv1Fx6gq/QzhCmRmhoIeKDvVSkL50CdzuWrbvZiPOabsk/FBb3biVtl3GAPtBNMYAk+KRsIHC4lktpCe/sDFjVif/8O7NUK9KEh6dthTb9/lvjAr5B2v5xizD48a1Cz/HXXPG46VTB+DF0y4tsayvXtYelZLjIx4WQwghhJTEXqMB7Ac0gO2DxAAfOHAAZcuWtUVS7uIGyb1yWTtUSk7AjPRMfJ62Adv3Hco9RzJIWLG9wWB5ZOeO6JrHCJUyPT9pAe6c9CS6rfzV7Puy5Rm4+bw7JKM5giUpPhYVysblmcEtlAMj7aYtCS3UVy/UVjceB/02B2Kv6QroIFHRFbNixQqztAPFpdI694RaJkzhwT6t8PM93fBA7xa4slN9XNy+NnZkZZcog0T+mejEIy1xwMm//owv3r7JGL858QmYe/ujJTZ+haxDOcdMX+xvfmAnaktCC/XVC7XVjVvpbzM9wH5ADzApSSotOfbyrBUYN281du4v3uA1+YWT401M7Iy/txR7/gsD2iKhTAwe+WIJLvhuAm77aQLKeNxYU7UO1r02DlsbtzATdISLwjzRRcHUY4QQQkIN06AR1V0xWVlZSEpKslVXTGEZM8QzevdniwPy9IpnV0Il/DF+hYytWXh+5r+ov309bp4/yRi/n7U6Cw/0uAFZvx7E8JR9CCe+nmh/soYUlmP6wfNa4PRGKbbTluhuu6TkUFvdeJS2XYZAEEchXTAZGRkR7YqxQg2+SFtvloXNjCaG3pAJi0IyUUZByM9QjfLxeHf+amOEZlSujQfOHoI7z7kZt/W+DfviE815ExeuRWqFwme0CxX+5Acuaqrlmz9chB9+W6qum43Yp+2S8EBtdeNW2nYZAuEHDIEggc6QZ2WI8De3bqCIMety5+C2hZ9gZr22SKt1XJHnywQa4iUWwjX1Y3EzxBX3mQQTSpH/+naYuIUQQkhk4CA4ororRr7gkZjBuyjvZf6BYGKIhcv4FRrl7MH7Hz2AG2e/j5e/GI3EQ0W/V4OqSWZQXo0KCSEvi+vIQ0Bx+YGL/0w88Bzaj19WFT+hR37ksxfjWqZylnhnWcp2KAbnEee3XRJeqK1uPErbLkMgiKOQLpgNGzaUeleMeBfF81tQ87f2yXErHMLf6YKD4c6Ytfho7FCctuYvZMUl4JkuV2B/fNGTcohHVDzUA06qW6L3dhWyLR7w4rytxX0m8u9tq7ixZc/+sD2YkOhruyT8UFvduJW2Xc4ERxyFzELTvHnzUu8aL857aQ0Ee3fealQtn4Ctew4i1MS6czB87ocYuuAjxMCDv6s1wI19R2Bllbp+zd5m8gN/vyLg97U+qetPb4gv/9x4zPTF/uYBLm7mvByPC9PXxeKqCkkhezCRsstxmXWO4RDOa7vEGVBb3cQqbbs0gImjkC4YSXAtia79GY3qb8xucfjr0X30q7/9mgXOwnVkJjgJUaicFI+bJ/1h8gPnp9zBLLz96SPo+N8Ss/1hm554uNv1OBhXfEiD1FWQzyEYfI3cu3q1CPphQs6tmBRX6KBAFzxoXqUMTmpQKeQPJv5mqCD2abvEOVBb3XiUtl0awMRRSBfMli1bUL58+WLnJLe6xvPboFbXeP5phEvivSywrMUYvzIT3KiLWpsySFnv+vSvAo1fYW98InYnJJnlvT1vNDO7FYfriNdWrj9vxVa/Y5LlAWHMxW2wdd/BY4zcwtK9hQJ5i8blcrzdbLExIX0wCWdICgl92yXOgtrqxq207dIAJo5CGl/Tpk1LvWtcjEAxDMV4DnQYQH5PcMXEOAw6rQFu7NrUvHdhhnqZnMMo4z6MA3FlzSxud5x7Kyrt323SnfmDXO+NOavN+uRf1/ldXvH2nta0KkKNeGGLSgknIRDT1gCXr93lt5Ht74NJMA8wJDJtlzgPaqubWKVtlwYwcdyT6I4dO1CpUiXExMSUWte4GKpiGIqhKuZyIEawGL8yBbLEBuf3qB467Ma9U5Ycc72au7fgpS+fwn8pNXDrebcbA3hXYnnzCgS57utHjGB/GN6tqXkokPzGoU4nVuwgOHjQoDywebf/g+CKezDxjYEmzmi7xHlQW924lbZdGsDEcbFIO3fuRMWKFUu9a1xCCSSk4M2fViPQbDBi/PZtm9dzK57fe6csxvZ9eb2i3Vb8gjFfPY9KB/ag2ZY1qLN7M9al1EBpMG7+ary7ICOPpzaYmOlgvLASWlY32YNq5fxP1VbUg0kgGSqIfdoucR7UVjcepW1XjylPoqYrpnHjxsXGIYWja1wMVgkpKC6215/3scIefI3fuJxs3DfrLbz96aPG+P0ztSl6D3qx1IxfYdf+w8eEKYQqnZjlrS3MFHV7XPh3fxI6Ng4s/EIMc4nnFk+vL7IdSJw3sUfbJc6D2uomVmnbpQeYOK4rZuvWrahatWqRXTGh7hovKqa4OConxyFz9wETVmC9X/5r1dm1yUxo0Xajd7a2t0/si9FnXI1DZeIQaayY6Ye+XIryZeOwde+xg+NC4a2VEIgHutU22SCOzThcNGLkSugGZ4JzftslzoPa6sattO3SACaOIysrq9S7xksys5t4eW+dnGbWxSgfcFK9PNdyedwY9/FDaLrtP+xKSMYdvW/FjKanwE7I55e5+yAuf+uXEoVGWN7a/Knp5GHkwfOao0X57KBzOYczQwUpvbZLnAm11U2Wwrbr8mib2y7Cc0uT0JLf8OlQvxJ+X7PD7wFaBeUBFo/shW1ro3vLVL+9mF+krTdT7JaUwgbQnZqRhtvmfoBb+tyJ9SnV4QSsTy2YMINAJicJVS5nQgghutkdgL1GAzjEHygJnfFTkOFTxuXBcRU9+HuHC264/DKErPebkZ6Jz9M2YPu+Q7nHivp/33LKzG6+k1wUhmR7qJwcb871fZ/81NuxEQ12bMCcRh2O7pRn0RIkGc9vXIuh3699Hbz1kzcLRDiedK1QkrkjupZ4oJl0s23evBnVq1fP7WYrLEVcSYxvEhkK0pfogNrqxu2gthuIvcYQCFKq+OvNK8zwkZnIk2KPWnv+TGohhtmu/Ycwbl7GMdeTcgyZsMik/2pYLTnXIBdjOX85i5rZzTIErz6toTGaizJ+e//9E56c/qJZP+/qF7CmUq0jFymZAekpIPRi2l8bC5zC2J9Z6vx9z1DOtHbo0NHPjdMc68NXX6ILaqubQwrbLg1gUmr4OzNbUYaPZAr4detRQ9E6p6BJLSwPbuau/cYjW5S99/z3y3PXC5uutyiDUQ4NOKlukanVErIP4oFZb+GKtG/M9q+1W+JgbDzCiRinkgf45QHtUKV8Qq7Xfce+gxj24R+5ZS8p1iA/uX7V5ATzRBDoYDnxLNSrVy93m9Mc6yK/vkQP1FY3MUrbLg1gUioE4s0ryvCJcXlwQiUP/pIQCM9Ro0rOH/HJn+jSrNoRA+8QHv0qrwfXX4qarcxbhoKN4edmLsekX//LNYR9abRtHV754km02JJhtl855X94tssVyIkpnbQyN0/+Ay9f2i5PLuKxMa5jvNzB8ui0pcfkMw40Xle62TZu3IiaNWuaH1x5cPEHTnPsDPLrS/RAbXXjVtp2aQCTUiEQb16wBs0ni9abV7gR4/fi9rULfC/xZoshLF7kXVnZpl7np/+IUdNfRnL2AWxNSsHtvW/DT407hCQEIZAy3/DhH3gtxpVriPqmDrO85EWFbhRFYcav4E+YSkG9BY9MS/frXE5zTAghJFD0mPLE1gQyM1tRBo14fdO2x+Tx/kaCmX9vLnB//gy2st46c4UxfhfUa41zr34RsxuVrvHri3h8xRufP3VYakpiwMavvwp4Cnnv/IhnoXbt2vgufZOJy95RjCfedcS7zGmOnYGlryYPEvFCbXUTo7Tt6qpNFCGGhMRcSnouWRZlWNiBQGZmK2rGMAmBOKmq2ywjyc79hRtnUrKd+w5hePdmSEmKw1NnXIX7etyAy/s/hs3lI5un1vKy5ycYr7tku/AXXw9/Ud1sa9asxb2f/eX3dTnNsXMQfdeuXWuWRBfUVjdupW2XIRAOxIl5UYubmQ0+3ryiJrGQjaycMOX08gMpT0piXJEGcL/F36Nv+o+Yc8o73nji2Dh80O5c2IWCjF1/H1BMmrdyCdi+9yBWb9uHCT+vLfF7+7Jy24EjMdhF+5crJZXBqItOsO33nRRMfHx4B32SyEFtdROvsO3SA+zQTAr542mtOEs5bkcso7Yozm9TMzdbgDVjmKQW80Vy/y7dEWOWkUDs7u4tahR4LOnQfjzz1bN45uvncHrGH/CMGx/Ue0jNKiXFIbVCAsJBQcZuUV53q0xyXF5PTV9m4oUDNX4Le28L6V5btMXtl7aXdaxP49dhiL6pqanqulEJtdVOjNK2q6s2UZ5JwZ84y0giRq3kpC2MN+aszmPAy/kywcLE607BCwPa4oNrO6JmhTicWt2N2AiGQHyyaJ3JBOHLcVsy8OX4W9FvySzkuGLw4plXYlzzs4J+j1EXtcaD57UK6H/OPb5GkamEi4qZ9X1AKegS8mmfWL+iGUgXbNaI4uJ1pXutwuGdfmnritADEAke0TcjI0NdNyqhttpxK227NICVZlKwI2KYy4QMwQzSkvRdpzWpigf7HI9tB0sWAlG2TMm/9rlF9HjQ/89v8cV7t6HJ9nXILFcZlw14HM92vATuIFKcSfYI8XxLdoZ7P18c0P/OW7HVTCZXGB6fmNmCYsgL87pbTP0rEyXBn3jdprWrFlkHi1BMukFKn6SkJH7sSqG2uklS2HYZA6w0k4IdCcXEBue0rgWXq2T5aw8cDt1T7K1zP8At8yeZ9R8bdsBt592G7UkpQV9v2JmNcfCwG+/MXVVsPuL87DogwdGFUy4hFvuz3Xhh5nJMXLjWTF5RUAy5GN8vz1qB52b+i1AgNu/LlxafAk26104/oTEqfFl03SU85JRGNICdhugrU6kSfVBb3cQobbs0gB1EIJkUtBrwOTk5aJqYhdl3nIHf1+4y52ZszTrGoCstvmh5Jq7+fSrGnvI/vN7xInhcJfMuP/71MoSLvQdzcOvktGJz9YoBPOnXwON7C0Mm4Dj3hOIHq4m20s026sJWGPpBweW0wkP8mVmO2AtL3wYNGiA2tnQmgCGlA7XVTY7StksD2EEUl0lBTIJUG+dFDYUBL97fihUrokxsTB4v8Y1dmxjPsYQBvPzDCoQNjwetNq3E0tQmZnNVlTroMuRt7C5bDk7G+j499OVSJMeXCcnscF7Prxi/tQo8bk1VbeV+lhhj0bZnw0p47YoYPPRleqFeauI8rLYrS6ILaqsbl9K26/J4/Im4i252796NlJQU7Nq1CxUqVLBFFgjBVzjraxnIbFuhJL8xY6Uzy39O59GzikyFJv9yU9cmaFStnLlOh/qV8PuaHUVet6D3CIUBl5/yB/dh1Dcv4Zx/55s431/qtYZGCpvqOVAGndYAPVqmFqiZP6n8/PlOEUIIIcHYazSAHWYA+2M8lLbhEEheYsuA9wRpjNWpmIC7T6uEc05tW2hXjLyHzCQWSlpvXI6XvxyN+jszkR0Ti/t73IDJbXqG9D20kF8zmTDjsb7H54ZBFPYdKOPy4MyaHvQ7qz3OaV27dAtNSqUbddWqVWjUqJGqblRCbbWT46C2SwM4gh9oaVGYkVvak2QUZswU5ZH++q+NuHHioqC8jC54UDsZuO8CMZJqFVqmOz7+C3sPHkaJ8XhMjO+9P7yDePdhrKtQHTf2HYG0WseV/NpRxv+d3hB39WpRqIdetK2TDOSUKYufRnTz66GNXmLnIJ2N8hsqv6XaulKjHWqrG4+D2m4g9hpjgB2KlR7MH2PUd4BTKI3g4vISSzOR4zKoyteYqZQcH3QXuwcurNsH3DNlCXq08k6c4WsEyYC452f+G5KJ4ioc2Iunv34ePZf/bLanN+uEu865xfHxvpHi9TmrUTYuttDwFNH2v32ydrDITCBOnhExmrHiCIk+qK1uXErbLvMAKyESk2QEm5e4JGnaZJKEXnVysGf/IZOqS4wg8She+ubPuGVSmkndFaoanr38F2P8Howtg5Hd/w9DLriXxm8Jeeun1cVqK8viviNOnREx2rtRly1bZpZEF9RWNzlK2y49wEoIRY7d0kprVpI0bWK/p22LMcvX56zE/kM5ITN48/Pp8V3RbOsaTG1xOpYcyfpASsa+Qzl+aVvUdyTYngcS+VyitWrVUjedKqG22olR2nZ11SaKicQkGcGmNZPMDjIwKhikmzxzv0SLupAVYuO34v7deGL6yyb0weByYdRZ19D4LSVE0037XUhNSSwylZ/TZ0SM5m5UicmzewwhCRxqqxuX0rZLD7ASIjFJhr95icXglel2vTG6+8ykFdv3HQrqPSVTwDl13fjmvxgc9oSuMXZYl46XvnwKtfZsRfKh/bjl/DtDdm3iH3FHtD2nc/MiPbdOnxEx2rtRmzdvbvuR5CQwqK1ucpS2XRrASojEJBlipMiAI4m5dBWSl/j8NjVxxtM/hCwvb44HmL8pxixDgcvjxpBfPsXtc95HGY8bqyrVwusd+4Xm4iQgqpRPwDmdmqBXIdk9rMGOyzftcfSMiNGKdJ/KTFLaulEJtdVOjNK2SwNYCf4Yo3I81DGRMtpeskvkH40vxrYYv2/MWR3SMAXpJt92MDTXqrJvJ5796lmcsdqbM/jzlmfgvh7DsC8hKTRvQALimUva4bQmVf3O+FAYdp8RMVqR7tPk5ORIF4OEAWqrG5fStksDWBFFGaPhTA0l15UBR755iSXsQTy/oR6gJiEQ59d348s1JQuBkOmM3/nkYdTYux0HysTjwe5D8NEJZ5u4XxIZtu7Zj8WLF6Nly5Z5utkCmTwlnA97pOTdqOnp6cfoS5wPtdVNjtK2SwNYGQUZo0XNBBeqiQTy5yWWmN9wTEcsoQ8z15c8BGJ9hWrIccVgeZW6GNZ3BP6t1iBURYw6apRPwKY9R93yEorzQO+W2LhrPx796m+/r1OtfCKa1K6ap5utqIwPBRHuhz0SPKJrkyZN1HWjEmqrnRilbZcGcJRMklHaEwmEawCShEDszg7ufyW7w+6EZOPl3ZlYAVde8gjWV6iO/fGMFS0J13ZphONrpxzzEPVF2nq/ryHfu46Nqhzz8FVcxgeLG89qYsInwj3tNylZN2piYiI/QoVQW924lLZdXeY88ZtwTyQQrgFIEgJxSaMcswyEUzPS8P1bQ/C/xTNz962oWo/Gbwj4b0eWeeDq27a2WVoGaCDfAXnogseNtLS0PMnW/X2QalqjXJ73JvZDdM2vL9EBtdVNjtK2SwPYhki3r4QQiAdNlsHO3lbYdYKdNS6QckkMcDhMkcMeYKqJ//Xv/Bh3Dm79aQImTH4A1fbtxOVp35jMDyR01K2UWGRmkqK+B2KvvnqZd4pu6V6TGDPfbrZIpPcj4aEgfYkOqK1uYpS2XYZA2IxQhSUUdZ2UxPiAZ40LpFxiGN/72eKwzdCW7af9Wn3PNrw49Wmc8t8Ssz3xhB54uPv18Lh0NeJI0zy1QsCZSSxevrQdzj3h6Pcn/wCLSKT3I+FD0wAakhdqq5tYhW2XloDCsITirvNdeqZf18nctT/gcsl6h8dm4JNF6xAOyriAixq6zbIoTl/1O74Zd5MxfvfGJ+LmPnfgnnNuxoE4egpDzfasQ8VmJhEj1Rcxal+7oj3OPeFozl+3222yQMgyvxEt5JecGR+cRUH6Eh1QW924lbZdl8fjCZejTg27d+9GSkoKdu3aZaYDDAfiNe08elahnlnL0zV3RNci4xyLu465lgvwR3WZrviRPi3x4NT0Qmdu8y3XjPRMDJngzakbPjzG+PWGQBT8OdTdmYkf3rjeTGyRXr0hhvW9G6sr1w5zuXRRmMe2ICZed0qxgy6LyjaSe2z3flQrl4CTG1VBmdiYUhuwSUoHudXIDVS6UbVNqRrtUFvdeBzUdgOx1xgCYROKG+1eUFhCMNcx1/LTshGj98ZJaUVf60i5fl61zRgopUFcDHC4iFj8/yqm4tVT/oeKB/bi8a6DcbBMfKmUSxPyUPNA7xYmjVkowg8Ky0yS17D1IDEWqFhODNtWeQzbQNP7EXsig2i0xRESL9RWNzkK2y4NYJvg72j34s7L3B2e9GPFEa68v/kR72+f+m58tjrvQLiuKxZiRZW6WFvJazQ92+UKTmoRAGJGDu/eDA2qJuUxLmNiXGGbXTD/BBeWtlNWe0NrJHTC1wj2N70fsSfiQZJk+q1bt1YZTxjNUFvduJW2XV3mvIMJ1Wj37XtDNE9wgJRWJI3M/vbRqtjcWeDicrJx36y38M6nj+CVL55E/OEjSYJt3k3jL81rlAv7e0gogRibt3Rvekwqs8JieGU7v4EaCAVlIrG0zT6ibUGZSIhzkRtn27ZtVd1AiRdqq5tYpW2XHmCbEKrR7hK3GwkqJMaVyvu44EH5OGBPNlB712a89MVTaLfxH3PstzrewVJaSK2QgG4ta2DZpr1he49buzfFjV2bFunFDUf4QUGhOr7ayoQn/oT8EOcgD8kHDhxA2bJlbR9HSAKD2urGo7TtRpUH+JVXXkGDBg2MiB07dsTChQthF0I12j01JTKztew+kG0M+HAT6wK613aj5/IF+Grczcb43ZWQjOsvvA8Pd/8/HCpTOoZ4uBGVHzq/FU5tVDUs16+YFGeyMNzSvZlfhqwVfpDfQxwsBYXyWNrKsqjziHO7UVesWKFuJDmhttpxK227UWMAT548GbfddhtGjhyJRYsWoU2bNujZsyc2b94MuxCK7mbLk1zaiM1iGfBhfZ/Dh9H6rbfw2mdPIOXgPvxR8zj0HvQivmvWCVqo6aP3KY2rGGM1VLSrm4IPBnfE7/efHdHsCQWF8kgIxGcZR8NbCjuPOBPpPtUWQ0i8UFvdxCptu1FjAD/77LO47rrrMGjQIDOjyWuvvYakpCS88847x5x78OBBk0rD9yVYTz+yLG5dRkz6rlsxssWti1Ey+44z8OG1HfFC/zb4cPDJ+Omus9CzVWruNIRyXmHrMp2sGKIx8CD2yHTBRa3HWOuufOtHAjFii1h3+ayf0rCKKfsrA9rkXr+MzzneqYu9r2PXvd3fha3H5tnvxkkbl5ntt06+AJdc/iQ2pFQPS518y17Yemjq5F2/5tT6Rm9JKdejZQ3z/RFP66gLj/e7Tme3rI6xl7dFrZSEPPWonByHVy5tg89uOA2nNa1qvidFfQ+t75XvenHfvYLWpQ6+61abOLF+RdROSTAPTladpJzVEtyIhdvsl+NyXknaU2nWKdD1aKuT7N+3bx8OHz6spk4adQqmTnItuU8GUz+71kmjTsHWyePxYM+ePabtOqVO/hAVBvChQ4fw+++/o3v37rn7JJ2HbC9YsOCY80eNGmXyyFmvunXrmv3r1683y40bN5qXsG7dulwv8tq1a7F161aznpGRgR07dpj1VatWmZx0wvLly80XSVi2bBmysrLMuoywlBgbs750CU6sVwHnnVATSfvWG8MgOzvbJKIW5Dw5X5D/l+sIcl25vhiiL/+vOfo09D6tNSgPdK7hMZ7F4Z1T0aOeN/S7RSUPOlTx7r/ttGo4vbbX0yj75JjQsZoHTVK863INuZZwZk0Paid71/s0cOH4Gt7Y4wZxu/Dixa3M+vn13SamU5DJKyTFle9EFrIt64KcJ+cLlROAc+p612skAmfXdpvcbfJ+neuWwSf/dyfuH/gAfrr0GmTHxpnySTl96yScUMljXsHUSd5T3luQskiZQl4nMfKSgfMaxppwhGGn1USNmN3G6JXvkXyfhHbVYvDS+fVNTHBRderfuiLevPIkNEs6gC+ubWvy8z7bKxXjr2iNX+87G40T9hb73ZPvmHzXfBOfB/LdE+S7Lt95QdqAtAXBt07btm7BvWfWyKOThD5c2MCN4yt5P997T6+GHdu3lbg9lVad5HdAfg9K4zfCiXUSA0mOa6qTRp2CqZM4jeQeK+ta6qRRp2Dr5Ha78c8//2D16tW2r5NVD3+IiokwNmzYgNq1a2P+/Pno1OloV/ldd92F2bNn45dffslzvjRmeVnID7cYwSJaxYoVc59exIgubF2eQiRY3Fq3EkgHsi7INX3XpQvCeuIubj37cA5+X7srd4KBjo2rGmNaRtb/tmand3/5BHRslH9/FqqVT8TOrGw8/tVSMxhJfHLiTZRvi7UuA/TFbycex17H18pT9m+XZuKxaUuxfqcM6nMZL6cYdoc9HogD00phVq1cHB4+vzW6taiB9+avwrTFmfhr3S5jDElXeMLhg3hg1lvYlVAOY864EhJ6muNxGW+nq5B1cR+6Zf2IpzR33afsvvUoqE6+61L2HJ/1snGxaF+vMupXLYt6lZLRtEZ5/J6xHaJ+hbJx2L3/IFwxZbBqyx58tzTT1MPr9UXuutTjzOOqY3DnRsbLGR9Xxmgnuol+BX2v5P1/WbUVW/YcQMWkBMxI34i12/ejfpVk3N2rORLjY23z3bPWi6vTd+mb8OjUpdi4+0CuTqkVyuLBPq2MF9xO7cnfOvm7zjpRJ3732J74GxET0t/ynTt3onLlyn5NhEEDuAADOBIzwdkVa5aumemZ+OyPddiR5e0CEcQjKQO1CoslLWj2L6G4bALW5AhlV680qc1abl6NHFcM+t74FpYmVTMe1E37gUrJ8Xis7/HoeXxN3DxxEb5afOwUz6c0rIxxg07GXZ+kYdpfmcfksu19Qk28MKAdvl2Sifu/WFLojHeSXeOCtrVMNoRAMiCM+jodb/602hjTFvKv13VpiHvO1ZW1Ilh8Z4KrHO9Gp+Z1jpkJjjgfqxu1fPnyqkaSE2qrHY+D2m4g9lpUGMASAiHxvp988gkuuOCC3P1XXXWVeVr44osvivz/aDaA/Z3ONtS4J3wAz5D/Q+y+fciuVAUxH0wAevbELyu3Ysv61ahWu6HxaPu+/6HDbry/IANrtmehfuUkDOzUAPFlYvw+7lu/qskJxkLeuvdgieta3PuSI59/To7pBmvatKm6wRaE+mqGbVc3OQ76baYBXACS9uzkk0/GSy+9lOsyr1evHm688UbcfffdIftASQmRuJ9bbgHeesu7fcYZwIcfArVq8aMlhBBCSEjstahxQ0kKtDfffBPjx4/H33//jaFDh5oRyZIVgtgEiY/s1s1r/Eo3ywMPADNn5jF+rRifKOi4iDqorW6or16orW48Su+7UTMTXP/+/bFlyxY8+OCDyMzMNNP6TZ8+HTVqeAfaEBsgAe1DhwIy0nTCBMAna4eFeO5FR4lFsntXDAkMaqsb6qsXaqsbt9L7blTEAJcUhkCEkX37JC8K0MqbOs0gaVFSUsL5roQQQghRBkMgiDNYsgQ46SQzuA1HcgQaijB+5Ul027ZtuemkiB6orW6or16orW7cSu+7URMDTGyEdDq8/bbX+P37b2/s75Gk2tEai0SorXbYdvVCbXXjUXrfZQiEHzAEIoTITC8S5/vBB95t8f6+9x5QvXoo34UQQgghUcZuZoEgtuTPP4ETT/QavxJIP2oU8PXXARm/0gUj0ytq64oh1FY7bLt6oba6cSu970ZNFghiA8aMAf79F6hTB5g4EejcOajLWHOEE31QW91QX71QW91kKbzvMgTCDxgCESIku8OIEcDjjwNVqoTqqoQQQgghYAgEsQe//y4zkHgHvVnZHV57rUTGr3TBSB5nbV0xhNpqh21XL9RWN26l912GQJDQIwbvyy8Dd9wBHDoEHH88cM01Ibv8IbkmUQm11Q311Qu11c0hhfddhkD4AUMgAmDHDmDwYGDKFO/2BRcA77wDVKoU3DeUEEIIIcQPGAJBIsMvvwDt23uN37g44IUXgM8+C6nxK10w69evV9cVQ6itdth29UJtdeNWet9lCAQJDTKxxZAhwOHDQKNGwOTJ3pRnhBBCCCE2gwYwCQ3HHeeN/b34YuCtt4qczrgkxMTEoHbt2mG5Noks1FY31NfZ5OTkIDs7u9DjVapUURknSuynb3x8vPk9KSk0gEnJ4n2t8AbJ6fvrr0DbtoDLFbZPVbpg1q1bhzp16oSkARD7QG11Q32diUx/KxkAZCrcos4RAzk2NhauMP7+k8jgsZm+cu9v2LChMYRLAg1gEjgSB/T0096Z3ObPB1q29O5v165UPs2SfumJfaG2uqG+zsMyfqtXr46kpKQCDSAxkA4fPowyZcrYwkAiocVjI33lQXrDhg3YuHEj6tWrV6Ly0AAmgbFlC3DllcD06d7tDz8EHnusVJ/8UlNTS+39SOlBbXVDfZ2HeP0s41e6wAmxA9WqVTNGsBjlcTLgPkjYh0z8Z84cb4iDGL9lywJvvgk8+mipP/1lZGSoG41KqK122HadhxXzK57f4jyEBw8eNEuiD4/N9LV6kuQBrSTQACbFI18y8fKedRawYQPQvDmwcCFw7bVhjfctjOJ+jIlzoba6ob7OxJ9uZo7J0E2MjcbchCoMwz41IvZl/HjggQe8sb9XXQX89hvQunXEGqF0x9mpMZLQQG11Q331IgaJdEVHOj6UhAeXUn1pRZDikZjfXr2Ad9/1vpKTI/apSZfHypUrS9z1QewHtdUN9dWLdI0fOHDANl3kJLR4lOpLA5gcixiXr74KHDzo3S5TBvj6a6/3N8LIE2jFihXVPYkSaqsdtl3dSIYAJ/HQQw+hrYxpISr19QcawCQvEuPbrRswbBgwYsTR/TYxOKUbVUYjMwRCH9RWN9RX98NNcSmyctweLFi5DV+krTdL2Q4Xffr0QS/ptSyAn376yZTzoosuwvfffx+2MkSbvk5En0lPgufbb4GBA72pzsqVA046yZbdqKtWrUKjRo1MUm6iB2qrG+qrP0tAQkJCgUbS9CUb8fDUdGzcdSB3X82UshjZpyV6HV8z5OUZPHgw+vXrlztpki/jxo3DiSeeiBNOOCHk7xut+joVeoAJcPgwcM893jhfMX7btAF+/x24/HJbepEkByA9wPqgtrqhvtHZRS7G79AJi/IYv0LmrgNmvxwPNeedd565T7wrY1Z82Lt3Lz7++GNjIOcPgbj66qtxwQUXYMyYMahZs6bpaRw2bFie6Z9fffVVNG3aFGXLlkWNGjVw8cUXI1oowxAIoo5164AzzwSefNK7PWQI8PPPQLNmsCOMI9QLtdUN9Y2+LnIJcxDPb0HBDtY+OR7qcAgpy5VXXmkMYN+BW2L8Sk/EpZdeWuD//fDDD2aQtSzHjx9v/t8yon/77TfcfPPNeOSRR/DPP/9g+vTpOP300xENuJSGQNADHO0cOgQsXgyULw9MngyMHeud5MKmyI/XsmXLmAVCIdRWN9RXL2Jk7t+//5gsAQtXbz/G85vn/wBzXM4LNddcc40xZmfPnp0n/EFCI1JSUgr8n0qVKuHll19G8+bNjRe5d+/euXHCa9euRXJystlfv359tGvXzhjE0ayv06EBHI34fokbNZLHYuCPP4BLLoETulFr1arFEAiFUFvdUF/dWLNz+bJ5T+HGbzDnBYIYsaeeeireeecds71ixQozAE7CHwqjVatWecaWSCjE5s2bzfrZZ59tDF8ZfzJw4EB88MEHyMrKQjTr63RoAEcba9YAnTsD3313dF+PHkDjxnAC0gVToUIFdV0xhNpqh21Xt7ZiOOb/Xa5e3r/eRH/PCxQxdj/99FPs2bPHeH8bN26MM844o9DzZbIHX6Q+MoW3UL58eSxatAgTJ040hvGDDz6INm3aYOfOnYhWfZ0ODeBo4vPPAQn6nz8fuOkmb75fB3ajLl26lCEQCqG2uqG+0ddFfnLDyibbQ2Fmk+yX43JeOLjkkktMz8OHH36I9957z4RFlMSIkzjY7t2746mnnsJff/2FjIwMzJo1C9rxKA2BYBq0aInzvesu4IUXvNsnnwxMmgQ4MI2Y/Jg1aNCAIRAKoba6ob7R10UeG+Myqc4k24OYnb7mk2WGynE5LxyUK1cO/fv3xz333IPdu3ebTA/BMm3aNJOCUwa+Sazw119/bbzDxx13HKKBeIZAEMexahVw2mlHjd/bb5dM4EDDhnAi8vQuAxG0dcUQaqsdtt3o7CKXPL9jr2iP1JS8YQ6yLfvDkQc4fxjEjh070LNnTzN+JFhkBtLPPvsMXbt2RYsWLfDaa6+ZcAiJG9aOS2kIhMujzacdBuTJUUaN7tq1y8SfOoa1a4HWraUCQOXKgKRz6dMHTu9GTU9PR8uWLTkRhjKorW6or/M4cOAAVq9ejYYNG5rct8V1kScmJhZqJEmqM8n2IAPeJOZXwh7C5fklocXjh752+V4GYq8xBEIz9eoBF1wgw1+BiRO92wq6UZs0acIQCIVQW91QX90UZSALYux2alyl1MpDSldfJ0IDWBvLl0syQ6BqVe/2a69J5L4Mb4UG5OlTnkKJPqitbqivbm3t4Bkk4cGlVF9mgdCEeHnbtweuugo4kroFYiwqMX6tbtS0tDRmgVAItdUN9dXdRS45cRlRqROPUn1pAGtg/37g+uuByy6Tyc6BPXu8L6XdqBL/K0uiC2qrG+qrG41d5ES3vrQinM6yZd60Zm++Kf0UwP33A5KXsJCpHjXgO1MP0QW11Q311YvGLnKiW18awE7mvfeADh2AJUuA6tW9s7s9+qg35lcpkndx8eLFubPzED1QW91QX91IlgCil/0K9aUB7FRkDvKHHvIuu3YF0tKA7t0jXapS6UZt3bo1QyAUQm11Q311w8HJuklUOPhcr6tQO0lJwEcfAd98A9x7ryNndSvJYBrGAOuE2uqG+upFBkhp7CYnevWlB9gpyOjLd94B3nrr6L4TTwQeeCCqjF/pRpWJMBgCoQ9qqxvqqxuZnIDo5YBCfekBdgKS0WHoUOCDD4CEBKBLFyBK5h8vaBBN27ZtI10MEgaorW6or17EM5gkvZKKufrqq7Fz5058/vnniDZcSvWlB9ju/Pmn19Mrxq94ekeOBJo2RbRPyagtHyGhttph29WtrXj4NfwuZ2RkGINP8s378sILL+Ddd98t9fe1kPe2JqSQEMCaNWuif//+WLt2LSKlr8vlCvkDQYMGDfD888+jNKABbFfki/b660DHjsC//wK1awM//gjcc4+MJkG0Io1wxYoVDIFQCLXVDfXVjcYucl9SUlJQsWLFiJahQoUK2LhxI9avX49PP/0U//zzD/73v/+VynsfUKhv9FpSdjd+r7gCGDIEOHgQ6N3bm+Whc2dEO9KNKlkgmE9UH9RWN9RXGfv25b5cWVlIkkFSkpVI9uU3lnzOPeaVP71WQecE+cA1atQoNGzY0GQwaNOmDT755BNzbMeOHbj88stRrVo1c6xp06YYN26cOSbnC+3atTMezjPPPDM3BOKCCy7Ivb7sv+mmmzB8+HBUqlQJNWrUwJtvvol9+/Zh0KBBKF++PJo0aYJvZKB6iJDypKamGu/vqaeeisGDB2PhwoXYvXt3wNfyeDymfGPGjMmzXzzQ8j7iaMofAuE7CE48tcKFF15o9lvbwhdffIH27dubyTMaNWqEhx9+GIcPH85934ceegj16tVDQkICatWqhZtvvjn3M12zZg1uvfXWUpl+mQawHRHRW7b05vN9+mngyy+BqlUjXSpbII1HfmA0dLWRvFBb3VBfZZQrV/irX7+850qe+sLOPeecvOeKIZX/nCAQ4/e9997Da6+9hqVLlxqj6oorrsDs2bPxwAMPmMHUYpz+/fffGDt2LKoeuceKQSnMnDnTeFs/++yzQt9j/Pjx5v/kf8QYHjp0qPHIinG6aNEi9OjRAwMHDjTTCIeazZs3Y8qUKebB0tchNGTIEJQrV67Il+ByuXDNNdfkGv4Wsn366acb49i37UoGF9/77q+//pp7vnxO1vZPP/2EK6+8Erfccov5jF9//XUTvvH444+b4+K5fu6558z+5cuXmxAKcWoJ8lnXqVMHjzzyiLmmvMKKhxTLrl27RHWzLDVycjyev/4qvfdzCIcPH/YsWbLELIkuqK1uqK/z2L9/vyc9Pd0sj8HbV1nw69xz856blFT4uWeckffcqlWPPSdADhw44ElKSvLMnz8/z/7Bgwd7Lr30Uk+fPn08gwYNKvB/V69ebe73f/zxR579V111ladv376522eccYanc+fOeb7fycnJnoEDB+bu27hxo7nWggULii1zYe9rMW7cOHNc3kPqJuvyuvnmm/Oct2nTJs/y5cuLfFmsX7/eExsb6/nll1/M9qFDhzxVq1b1vPvuu3mu6Xa7PVlZWWbpi7z/lClT8uzr1q2b54knnsiz7/333/fUrFnTrD/zzDOeZs2amfcqiPr163uee+65oL+XgdhrzAJhVyTO98hTETmKPOm2atWKH4lCqK1uqK8y9u4t/Fj+1JybNxd+bv4xLRkZJSwYTPe9eF3PPvvsPPsPHTpkQhukC75fv365XloJbRCvbaCccMIJeb7fVapUyfVmChIWYXlrQ4GEVUiZs7Ozjff6gw8+yPWsWlSvXt28/KFWrVro3bs33nnnHZx88smYOnUqDh48eExcsXiL/Z0I488//8S8efPylEu8xxJDLJrItWWQm4RG9OrVC+eeey769OmDMhGYwZYGMHEU8tC5Z88e80OgLSl3tENtdUN9lZGcfEyWAMlOUODvss+5gVw3WPYeMc6/+uor1JYB5D5I3GndunVNrOnXX3+NGTNmoFu3bhg2bNgx8bDFERcXl2db6u67z/osQpW3Xj5fKzShRYsWWLlypQm7eP/99/OEQEyYMMGvz0e49tprTZiGhCVIOINklsif8qxYffNdW2J+L7roomOOSUywfPYyeE9CTOSzv+GGG/D000+b0JT8n2e4oQFMHIU0wg0bNphBCxwIpwtqqxvqqxvxroqBYwdatmxpDF1JEXbGGWcUeI4MgLvqqqvMq0uXLrjzzjuNARwfH5/rtbQ7d999Nxo3bmzim2XQmSDxs3fccYff1zj33HORnJxs4qCnT5+OOXPm+K2vGKz5Pycphxi4vjHE+RFvsnh95SUPHs2bN8fixYvN/8rnX1qfPQ1g4ijE6JXGQvRBbXVDffUSSBd5aSA9hGIEimEoD16dO3fGrl27TNe8pBITz2mHDh1MOJ10+U+bNs14VAUJH5C6iDEoA7LE6JMUaKWFGI/5KSzsT7ypkoXhwQcfNHUINATCapeS4eKee+4xjqVOnTrBX30l88P333+P0047zTxwSDYMKct5551nsjxcfPHFxmssYRFLlizBY489ZgbEiYHbsWNH42kWb7Vcu379+rnXFCN8wIAB5prW4MRwwCwQxFFIV4zMxsMsEPqgtrqhvrq1lTRXdvpdfvTRR022B8kGIcatxJtKSISkORMvoxh8EsMrGQ/ECJw0aZL5P4lFffHFF02WAomR7du3b6mWWww/iVP2fW3atKnQ88XIl3pZ2SuCYfDgwcbDK+nbAtH3mWeeMWEMYohLOYWePXsaY/y7777DSSedhFNOOcWEV1gGruRSlnRxYjTL5y+hEBJ7LPHTlgdbJgURz7Z46cOJ68hIPlIEkmNPngDlCVKeHknkkCfHVatWmQB6hkDogtrqhvo6Dxm4tHr1amM0FhXeIGaEeFLFY8exGc7jp59+MnHQ//33X+7APTvrW9T3MhB7jSEQxFGI0SvdNEQf1FY31FcvYhTZJf6X+M/BgwexZcsWkxVDsjMUZPxq1pchEMRRSDzXtm3bOBWyQqitbqivXuwYAmE3ipqgQo5FgokTJ5rQBAkrfOqpp/IckxRrhZVXSypShkD4AUMg7NWNKvFBEijPEAhdUFvdUF/nwRCI0CG5gAubsli66gMZuFYa7NmzJzf2WB5sJEZYYqetVG9WTG8kYAgEiUrE6JXgeKIPaqsb6qsXrV3koSTQ7Ax2yKRRvnx5aIYhEMRx3ajyJB2qxOLEPlBb3VBf51JcaIMcl9nJGAKhE4/N9A1VOWgAE8ch0ykSnVBb3VBfZ2HNzOWPbnRK6MZtI6eThGMIJQ2DZBYI4igkqbbE/xJ9UFvdUF/nIQaG5G2VXjdBJi4oKg2WZBUgejloA33FEJfMFfJdlJzNJYEGMHFkN6rEUskNleiB2uqG+jqT1NRUs7SM4MK6pEVf+U22Q55YElo8NtNXyiEzzZW0LDSAieOwuj+IPqitbqiv8xAjo2bNmsbpIHGgBSHGUWZmpjGW6ZjQh9tm+ko2ilCUg2nQ/IBp0AghhBBC9NhrkTflCQnwSXT9+vW2CsgnoYHa6ob66oXa6sat9L5LA5gQQgghhEQVDIHwA4ZAEEIIIYTosdc4CC6ApMuFTWNISr8rpnbt2rYIxiehg9rqhvrqhdrqxu2g+65lp/kzWQYNYD/nxBbq1q1bUm0IIYQQQkiY7TbxBBcFQyD8fPrZsGGDmRfbDjnwohl5upMHkf/++6/Y7g3iLKitbqivXqitbnY76L4rnl8xfmvVqlWst5oeYD+QD7FOnTqh0oeEAGmEdm+IJDiorW6or16orW4qOOS+W5zn18LewRyEEEIIIYSEGBrAhBBCCCEkqqABTBxFQkICRo4caZZEF9RWN9RXL9RWNwlK77scBEcIIYQQQqIKeoAJIYQQQkhUQQOYEEIIIYREFTSACSGEEEJIVEEDmBBCCCGERBU0gIljeOWVV9CgQQOULVsWHTt2xMKFCyNdJFIMDz30kJk90ffVvHnz3OMHDhzAsGHDUKVKFZQrVw79+vXDpk2b8lxj7dq16N27N5KSklC9enXceeedOHz4MD/7CDBnzhz06dPHzLIkWn7++efHzML04IMPombNmkhMTET37t2xfPnyPOds374dl19+uUmoX7FiRQwePBh79+7Nc85ff/2FLl26mLYuM1A99dRTpVK/aKY4ba+++upj2nKvXr3ynENt7cmoUaNw0kknmdls5Tf0ggsuwD///JPnnFD9Fv/4449o3769yRjRpEkTvPvuu7ArNICJI5g8eTJuu+02k4pl0aJFaNOmDXr27InNmzdHumikGFq1aoWNGzfmvubOnZt77NZbb8XUqVPx8ccfY/bs2WbK8Ysuuij3eE5OjvnBPXToEObPn4/x48ebH1Qxskjps2/fPtP25GG0IMRQffHFF/Haa6/hl19+QXJysmmncnO1EON36dKlmDFjBqZNm2YMr+uvvz7PtKs9evRA/fr18fvvv+Ppp582D1JvvPFGqdQxWilOW0EMXt+2PHHixDzHqa09kd9WMW5//vln0+6ys7NNGxPNQ/lbvHr1anPOWWedhbS0NAwfPhzXXnstvv32W9gSDyEO4OSTT/YMGzYsdzsnJ8dTq1Ytz6hRoyJaLlI0I0eO9LRp06bAYzt37vTExcV5Pv7449x9f//9t0d+lhYsWGC2v/76a09MTIwnMzMz95yxY8d6KlSo4Dl48CA//ggiOk2ZMiV32+12e1JTUz1PP/10Ho0TEhI8EydONNvp6enm/3799dfcc7755huPy+XyrF+/3my/+uqrnkqVKuXRd8SIEZ7jjjuulGpG8msrXHXVVZ6+ffsW+uFQW+ewefNmo/Hs2bND+lt81113eVq1apXnvfr37+/p2bOnx47QA0xsjzxxiidIulMtYmJizPaCBQsiWjZSPNIFLt2qjRo1Mh4i6UYTRFPxRPjqKuER9erVy9VVlq1bt0aNGjVyzxGPongJxYtI7IN4fzIzM/PomZKSYsKVfPWUsIcTTzwx9xw5X9qzeIytc04//XTEx8fn0Vy6bHfs2FGqdSI4pntbur6PO+44DB06FNu2bcs9Rm2dw65du8yycuXKIf0tlnN8r2GdY9f7NA1gYnu2bt1qul98G54g23LDJfZFjB/pJps+fTrGjh1rjCSJ7dyzZ4/RTowcMYgK01WWBeluHSP2wdKjqHYqSzGgfClTpoy5EVNzeyPhD++99x6+//57jB492nSTn3POOea3WaC2zsDtdpvQhNNOOw3HH3+82Req3+LCzhEjef/+/bAbZSJdAEKIXuQGaXHCCScYg1hiOz/66CMzSIoQ4gwGDBiQuy6eQGnPjRs3Nl7hbt26RbRsxH8kFnjJkiV5xmJEK/QAE9tTtWpVxMbGHjMiVbZTU1MjVi4SOOJhaNasGVasWGG0k/CWnTt3FqqrLAvS3TpG7IOlR1HtVJb5B67KKHLJHkDNnYWENMlvs7RlgdranxtvvNEMPP3hhx9Qp06d3P2h+i0u7BzJ+GJHhwcNYGJ7pGumQ4cOpuvNtxtHtjt16hTRspHAkHRXK1euNGmyRNO4uLg8ukqcp8QIW7rKcvHixXmMJhnFLD+oLVu25MdvIxo2bGhugL56StenxPb66ik3WYk5tJg1a5Zpz9I7YJ0jmSEkJtFXc4k7rVSpUqnWiRTOunXrTAywtGWB2toXGbMqxu+UKVNMe5O26kuofovlHN9rWOfY9j4d6VF4hPjDpEmTzGjyd99914w2vv766z0VK1bMMyKV2I/bb7/d8+OPP3pWr17tmTdvnqd79+6eqlWrmlHIwpAhQzz16tXzzJo1y/Pbb795OnXqZF4Whw8f9hx//PGeHj16eNLS0jzTp0/3VKtWzXPPPfdEsFbRy549ezx//PGHecnt49lnnzXra9asMceffPJJ0y6/+OILz19//WWyBjRs2NCzf//+3Gv06tXL065dO88vv/zimTt3rqdp06aeSy+9NPe4jEivUaOGZ+DAgZ4lS5aYtp+UlOR5/fXXI1LnaKEobeXYHXfcYTICSFueOXOmp3379ka7AwcO5F6D2tqToUOHelJSUsxv8caNG3NfWVlZueeE4rd41apVpq3eeeedJovEK6+84omNjTXn2hEawMQxvPTSS6aBxsfHm7RoP//8c6SLRIpBUuDUrFnTaFa7dm2zvWLFitzjYhjdcMMNJu2V/HBeeOGF5ofZl4yMDM8555zjSUxMNMazGNXZ2dn87CPADz/8YIyj/C9JkWWlQnvggQeMASsPrN26dfP8888/ea6xbds2Y/CWK1fOpFAaNGiQMbB8+fPPPz2dO3c215DvjRjWJHLaiqEkho8YPJIuq379+p7rrrvuGAcEtbUnBekKwDNu3LiQ/xbL96ht27bmN79Ro0Z53sNuuORPpL3QhBBCCCGElBaMASaEEEIIIVEFDWBCCCGEEBJV0AAmhBBCCCFRBQ1gQgghhBASVdAAJoQQQgghUQUNYEIIIYQQElXQACaEEEIIIVEFDWBCCCGEEBJV0AAmhBCFXH311bjgggsiXQxCCLElNIAJIcTBZGRkwOVyIS0tLc/+F154Ae+++26pv6+FvLccl1dMTAxq1qyJ/v37Y+3atWErEyGE+AsNYEIIUUhKSgoqVqwY0TJUqFABGzduxPr16/Hpp5/in3/+wf/+97+IlokQQgQawIQQYgPcbjdGjRqFhg0bIjExEW3atMEnn3xiju3YsQOXX345qlWrZo41bdoU48aNM8fkfKFdu3bG23rmmWcWGAIh+2+66SYMHz4clSpVQo0aNfDmm29i3759GDRoEMqXL48mTZrgm2++CVmdpDypqanG+3vqqadi8ODBWLhwIXbv3h2y9yCEkGAoE9R/EUIICSli/E6YMAGvvfaaMXDnzJmDK664whi9H3/8MdLT041xWrVqVaxYsQL79+83/ycG5cknn4yZM2eiVatWiI+PL/Q9xo8fj7vuusv8z+TJkzF06FBMmTIFF154Ie69914899xzGDhwoAlTSEpKCmn9Nm/ebN4rNjbWvAghJJLQACaEkAhz8OBBPPHEE8aI7dSpk9nXqFEjzJ07F6+//jr27t1rPLwnnniiOdagQYPc/xUDWahSpYrxthaFeJXvv/9+s37PPffgySefNAb1ddddZ/Y9+OCDGDt2LP766y+ccsopJa7Xrl27UK5cOXg8HmRlZZl9N998M5KTk0t8bUIIKQk0gAkhJMKIR1cMxLPPPjvP/kOHDhnD96GHHkK/fv2waNEi9OjRw4Q2SEhBoJxwwgm56+KFFaO5devWufskLMLy1oYCCauQMmdnZxvv9QcffIDHH388JNcmhJCSQAOYEEIijHh4ha+++gq1a9fOcywhIQF169bFmjVr8PXXX2PGjBno1q0bhg0bhjFjxgT0PnFxccfE6Pruk20rHjkUSPYHiSsWWrRogZUrV5qwi/fffz8k1yeEkGDhIDhCCIkwLVu2NIauxN6Kwej7EuPXCnW46qqrTJzw888/jzfeeMPst2J+c3JyYHfuvvtuE3ssXmFCCIkk9AATQkiEkVCBO+64A7feeqvxvnbu3NnEz86bN8+kEhPPaYcOHcwgN4kXnjZtmvGoCtWrVzeZIaZPn446deqgbNmyJgVaaSGpzfIj5SwIMeZlwJ3EGksdCCEkUtAAJoQQG/Doo48aL69kg1i1apXJ4du+fXuTneG///4zg9Zk8gkxdrt06YJJkyaZ/ytTpgxefPFFPPLII8awlGM//vhjqZV7wIABx+yT8haGGPky0M/KXkEIIZHA5ZHhuYQQQgghhEQJjAEmhBBCCCFRBQ1gQgghxzBkyBCTw7eglxwjhBAnwxAIQgghxyC5gAubslgG5sngO0IIcSo0gAkhhBBCSFTBEAhCCCGEEBJV0AAmhBBCCCFRBQ1gQgghhBASVdAAJoQQQgghUQUNYEIIIYQQElXQACaEEEIIIVEFDWBCCCGEEIJo4v8BwH5/qm+x+4cAAAAASUVORK5CYII=", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Standardisation + LR score[r^2]: 0.234788\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "scaler_methods = [MinMaxScaler, StandardScaler]\n", "scaler_names = [\"Normalisation\", \"Standardisation\"]\n", "\n", "for name, scaler in zip(scaler_names, scaler_methods):\n", " pipeline = make_pipeline(scaler(), LinearRegression())\n", " pipeline.fit(X_train, y_train)\n", "\n", " x_test_pred = pipeline.predict(X_test)\n", " score: float = pipeline.score(X_test, y_test)\n", "\n", " # lr_table.ajoutligne(f\"{name} + LR\", score)\n", " print(f\"{name} + LR score[r^2]: {score:.6f}\")\n", " \n", " dessiner(pipeline, X_test, y_test)" ] }, { "cell_type": "markdown", "id": "92a737f0", "metadata": {}, "source": [ "**Question 19**: Trouvez les valeurs minimales et maximales pour les prix dans votre dataset. Que peut-on dire de la dispersion des prix dans votre dataset ?\n", "Dans le cas où les étiquettes sont trop dispersées, une solution pourrait être de modifier l’échelle des étiquettes. Pour ce faire, on pourrait transformer les prix de sorte que les prix utilisés dans\n", "l’apprentissage soient ln(y[i]) à l’aide des fonctions ln et exp de la bibliothèque numphy. Quelles sont les nouvelles valeurs pour le prix minimum et maximum de votre dataset ?" ] }, { "cell_type": "code", "execution_count": 18, "id": "4f1c169f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Prix Min : 6.20€\n", "Prix Max : 17280.00€\n", "Log Min : 1.8245\n", "Log Max : 9.7573\n" ] } ], "source": [ "print(f\"Prix Min : {y.min():.2f}€\")\n", "print(f\"Prix Max : {y.max():.2f}€\")\n", "\n", "y_log = np.log(y)\n", "\n", "print(f\"Log Min : {y_log.min():.4f}\")\n", "print(f\"Log Max : {y_log.max():.4f}\")" ] }, { "cell_type": "markdown", "id": "7feda3af", "metadata": {}, "source": [ "**Question 20**: Après avoir éventuellement transformé les prix, remplissez le tableau suivant avec les résultats obtenus grâce à la régression linéaire, avec ou sans pré-traitement. Constatez-vous une amélioration des prédictions due au pré-traitement pour ce jeu de données et cette méthode ?\n", "Dessinez la figure de visualisation pour la méthode qui donne le meilleur score. Que constatez-vous ?" ] }, { "cell_type": "code", "execution_count": 20, "id": "91cedffb", "metadata": {}, "outputs": [ { "data": { "text/markdown": [ "| Méthode | R² |\n", "| :---: | :---: |\n", "|LR|0.452908|\n", "|Normalisation + LR|0.452908|\n", "|Standardisation + LR|0.452908|\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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CiW0aiux7Ncc0fU+/03yB4OKLLxbtVGfMmIEPP/xQuPf9cZNT7OqgQYPw3HPPYfXq1SJ2bdGiRaaNl1358kCWdbLKh8JFHKyYz1B6PMJBTox2WE7yEPGyWrMGOOEE4MMPgW3bAAuWnSRYMVUhOsomSkIR7uqg8pl+p/kCQf369XHJJZfgvvvuw969e0XmvVHmzp2Ll19+GStXrsT27duFoktPjscdd5ypLpLKykp2O0oAyYqs5cF2EQcz5jPUHg+Z5cTog+UkDxErK4cDeOcdp5V0wwagWTOADFOjRsGKsGLqBapT+vrlvZGRUvvmRZ/p+0DUMXV35+fl5WHw4MFoRgeSQVJTU/Hll1/ijDPOQOfOnfHGG28Itz7FpZoJKaaM9aGHkoMHDwbVRRzsmM9QezxklROjH5aTPESkrI4cAS6/HLj+euqCA1ADn5UrAS+hgaHG5pD40YESAyhLvaCgAA0aNKjThWjbtm1o06aNqN3pD3SzpFg0cvuRhYVuZoGylDLhjZnHpUxQLCm57X0x8/p+6N+ukakWWsL1IqecucF4uGQYhgkpy5YBAwc6raZPPQXcfTcQFWUpfc0d7vykAVJCzbpZhitKVj7F8HDJKGtD1gKyxFOJMYpjDgahiPlUPB7undsyAti5LRByapCSir+25/ODsUUJxfnEGCMiZXXiidRhB+jSxamgSgArpoyprnxO1JAnzopCPIJFqGI+Sfk8q0uGlB4PktMf/+7AM7/9g135ZUFpiczIcT4xxogIWRUUALfe6rSMKq2nyY0vEayYMqZAVtJIck3LDD08UPmxYKLEfFKik6fYIVu1JTMQMZ+yejwW/HsAt87dU2d/KcliHIoQuecTY4ywl9Xff1NJH2DrVmDVKuCff0LitvcX+UbMWPZJtKKiIvKyHSV1Z1HzhWAmAIS6yoVsUFz749+sQ4cUO6LcVFNZGgRECqE4nxhjhK2sHA7glVeAAQOcSmnr1sBbb0mplBJyjpqxJGF3socxZnf+kqHKhUxQ6MH+wlKkx5M3Qs4GAZFEKM4nxhhhJ6u8POCCCwBqM15e7iwBRZbSvn0hK+zKZ0xz5cfHx/PelAAK+s/KygrJumWO+QwmtG+qHDb8fsAmbYOASCGU5xMT4bLascNZ9iknB4iLA/73P2DcOM9PsxLBiiljaoF96jDFWflyuLOaNGkSksxUWWM+gwkp7OTC75zmwL95NthVKrJauUFApBDq84mJYFk1bw6Qok3d4T75BDj+eIQDrJgypsGufHkoJ5cPY1mUZLGk6BJnEK4jeMlijH74fJIH6WV16BCQlARQsrGikJK3MiUF4UIYPDIwVnLls7XU+pCloFWrVuFhMQhTyKr80LldsTw3Cg5HbWspJ4tZCz6f5EF6WS1ZAmRnA3feeey7Jk3CSiklJJUOo4errroK5513XsBd+fQkyln5cli2d+/ezRZui3N2l6aYel4WmqXUjt3mZDFrweeTPEgrK7sdeOYZZzzprl3AwoXUSgnhCiumYUROTo6wWK6kPrguTJkyBe+//35A10tPoKuobpoHaN00LnrRfJmZmbjkkkuwgwK3QwSN5euvvzZ1mRRU/9JLL5m6TCayyW6Zip/uPl20ap0yOlu8/3bvGVzBgGEihYMHgWHDgPvuA6qqgDFjgL/+Any09ZQZjjGNAKg/bTCIjY1VdeVTb9z//vtPWFSpV/zNN9+Miy66CH/++WdQxsYcgx4OmlPQPCONnDhZzLrIeD5R/dtIrIwhnax+/hm47DJgzx4gIcFZq/Saa6TPuvdFZFpMi4rUX6Wl2uctKfE9rwHIzTBp0iS0adMGCQkJ6NmzJz7//HPxG/X5HTNmDBo3bix+69ChA6ZNmyZ+o/mJXr16CQXxtNNO8+jKp+9vvfVW3H777aJncNOmTfH222+jqKgIV199NZKTk9G+fXvMnz9f17i9ufJpPBkZGcJaOmDAAFx77bVYtmwZCg24I2gdNL4XXnih1vdkKab1bN682ev/lXIho0aNEvO7lg+ZPXs2evfuLbpYtW3bFo899pioNqCs99FHHxUxShRP26xZM9xGteOq9+n27dsxYcKEGuuwVaHji6zV0rmzIgyWkxzIJqfv1u7FSc8uwqVvL8X4WSvFO32m78MdqWR19Chw4YVOpbRzZ2DZMuDaa8NeKY1cxbR+ffUXFap1hQKL1eY955za85KC4z6PAUgp/fDDD/HGG29g3bp1Qtm5/PLL8fPPP+Ohhx7C+vXrhdL477//4vXXX0d6err4Hyl6xMKFC7F37158+eWXquv44IMPxP/oP6Sk3nTTTcKCSUrjihUrcPbZZ2Ps2LG6ihFrVcaoXMdXX30l2sPRS+HGG29E/fr1vb6U9VxzzTU1CrkCfT7llFOE0uqN5cuX18xP+0n5/Ouvv+KKK67A+PHjxT5+8803RRjCU089JX7/4osvMHnyZPH9pk2bRChA9+pexLSvW7Rogccff1wsk15WJo5q3jGWh+UkB7LIiZRPamdLzRk8tbmNBOVUFlmB7nfvvANceSXdtIBu3RApsCvfYpSVleHpp58WymX//v3Fd2S5++2334RCdPToUWERPeGEE8RvrtY+sqISjRo1EtZJb5AV9sEHHxTT9913H5555hmhqF5//fXiu4cfflgovatXr0a/fv38duUXFBQIxZKsjoqyS9bGJCp7UQ0pdXfddZemdZEVmMZIivWJJ54o2qHOmDGjjhXVE8p+Sk1NrbWfyDo6ceJEXEkXgur9/sQTT+Cee+7BI488Ip60af5BgwaJbSXLKa2baNiwoVCyydrsa99bwZ1l9TEyLCdZkOV8Ivc9tbH15NOi7+jKTb9TA4xwdetbXlY//uiMIz37bOfnkSOdrwgjMhVTMpGr4WLBExw4oD6ve8kJ6r7gJ+SGJsXtrLPOquMmJ4WUXMkXXHBBjVWTXPRk5dRLjx49aqZJoSJlVrH+EeTeV6ybel35npRTUthozKRAkrV3+vTpNZZIBSp6TC8tkBt92LBheO+994Ry+M033wilnqy+RqHkrSVLltQaV1VVFUpLS4VMaNmU3EQK65AhQzB06FCce+65oqmATCjuLKnLpkQALCc5kEVOFFPqbilVa3MbrjHNlpUVKaOPPw488QRZOSguDWjRApGKXHdUs3Cx0oVsXhXIIkp8++23dYK0Ka6xZcuWIpZx3rx5WLBgAc4880yMGzdOk6XQFbL4uULKpOt3inKpJxbHmyufLgKKi71z587YsmWLCB/46KOParnyP/74Y037h7juuutEuAG518ktT5n+iYmJmsfradlkNT3//PPr/EYxp7TvKYGLrNm07ymB6/nnnxchFu770+r4s5+Y4MFykgMZ5KS1fW24t7m1nKwohpQy7X/6yfl51CinchrBRKZiamG6dOkiFFB6qjuVapapuKLJ3Uyvk08+GXfffbdQTJXYGbLyhQJvrnx3yGXerl07ET9LyUZ6XfkEWSwpFIBCDr777jv88ssvusbqvp9oHKR4eotRpYQzspLSix4IOnXqhDVr1oj/0v4P1b7XAz0kaLVMM6GD5SQHsshJa/vacG5zazlZff89MHassyQUxZS++aYzCz/CYcXUYpDLm5QzUtjIWnnSSSeJ+ExyMVPJJbI0Hn/88ejatatwXc+dO1dYIAk64UhxIiWNEnHIyhesUlEEKWjurnwapyfI+khZ8RQnStugjF/PRYNCECjWlGJkqTqBEpOrBYrN/fHHHzFw4EDxIEDVCWgsw4cPF26eCy+8sKY269q1a/Hkk0+KRChSPPv27Sueusm6S/u7devWNcsk5Xj06NFimUpSmtWgbaDaszRe1+QzxlqwnORAFjkpbW4p0clTnGkktLm1jKyoes0DD1Cms/Nzz57Ap58CHTuGbkwWwkJBFowCJdxQ9j1l55PSSfGM5NqnclBklSNFjGJEKQOdTq5Zs2aJ/1Gs48svvyySpCgGc2SQg6Ypo50shxQLq7z279+vOj8p37RdSjUBI1DZKYptpTJXevjf//4n3PGkINM4icGDBwsl+YcffkCfPn1E0heFCSiKJyVLUVktUmZp/5NLn2JbKT5XsfjSRY8swUqClRWhBwfaFiuXtGJYTrIgy/lECU2PnNtFTLuPNFLa3FpGVrR+spISN98MLF3KSqkLNofEPSSpBiZZBMmiSNZEVyhhhQq5kzJHlkMmPKESTxRnu3PnzpqELSvDxyXDMKGESkJR9r1rIhRZUkkpHdItM6RjC3uoJraSLEvVaRYtAoYPRyRQ6EVfc4dd+Ywp0PMNhRaQCzsYT6O0roMHD4oqBZQtL4NSaiV31tatW0V1ASu7HiMdlpMcyCYnUj6pJFQkdn4KmawqKoD77wfWrqXMZmdFH0rCihClVC/symd84q3wPf2mEMyySTNnzhQu9vz8fDz33HO1fqNSVGrjVYt5jSQodpZCDSxVLoWpA8tJDmSUEymhVBJqZHZz8R4JSmnIZLV9O3DyyQBVzvnuO2etUsYr7MpnfEK1TNVah5JJ3lJZjgCOHDmiGttK2fhKzGgoYFd+6InUPuEMwwSZr78GKP8hP5+SFKjdIODSHjySKGRXPmMmWrLlyZVPShfF84Y6sJwqG9CLUXdnUUtVqmQgg+sxUuPrIllOMhFsOfGDlQSyKi8H7rkHmDLF+blvX4CSlF06NTIRHGMqcW6XdEjTgzjCj0dyY1HVBplcj2b2CXeXgNIn/PXLe1tKOY1UOclGMOUk04NVRMuK2lpXV8vBnXcCTz9NN8jArjOMCNsrntKJR+nLzgQWspLSE2ioraVWh0pbEaG0gJGMKAQjkmTlq084Qb/TfFYhEuUkI8GSk/Jg5d5WVHmwot8Zi5xTZC1t1gz45htnbCkrpboIW4sp3fipXpnS650KovMFPnyy8mWEGiZQJQE6FoOZKObJnbVhwwbRtSpSXMQy9gmPRDnJSDDk5OvBiq649Dtl23O8dAhkVVrqrEV62mnOz1Qbe+tW6iNu3joiiLBVTImMjAzxriinTOAVL3Y7eof2D3WWCqXyTmOgzieRJCsZ+4RHopxkJBhykvHBKmJktWkTcPHFwLp1wO+/Ayec4PyelVLDhLViSjf/zMxMkbhTQXXEGMYCcbihVjTovEhKSkIkIWOf8EiUk4wEQ04yPlhFhKxmzgT+7/+Ao0cB6vZ35Ih5y45gwloxVSCTPbvCAu8iWb9+Pbp06cL72uJEoqxk7BMeiXKSkWDIScYHq7CWVUkJMH488Pbbzs+nngrMmOGMK2X8hn1EjCmQFbB9+/YhtwYyvolEWcnYJzwS5SQjwZCT8mCldnTS95kWe7AKW1n9+y9w4olOpZRCsh5+GFi4kJVSE+ErHmOaiyQhIYETnyQgUmVF5XSoJBRZRl2hz1YrFRWpcqIknz+2HMLslbvFu5WqJIRSTjI+WIWtrKilKLUWpTbYCxYAjz1GbQ/NHGbEE7adn5jgu0jWrFmD7t27s9vR4kS6rGQpUB5pcpK1Rmcw5STrPgorWdntTmX0ppsow9rsIYYtevQ1VkwZU6DnG0owo/qxkWThkRGWlRxEkpzUmh8oW21Fi3ao5CTLg5UVt8mQrCjbntz1H34IcDKiYbglKRMSIsGqEy6wrOQgEuQUDjU6gykn2gfhVBIq2FZgzbIiZ/J77wG33upMdmrVCpg82fTxMHXhGFPGtBqm5CKhd8basKzkIFLkpKdGpxWJFDmFQzcrzbKisk9jxwLXXedUSgcPBu67z9SxMOqwYsqYAmU5UtwOZxBbH5aVHESKnGSv0RkpcgqHNsGaZLVqlbNI/vTpZF4FJk0C5s0DmjQxbRyMd/hMYkwNLGfkgGUlB5Egp3Co0RkJcgoXS7lXWVFv+759gY0bgRYtgJ9/BiZOJI3W1DEw3uG9zZgCuUaocDG7s6wPy0oOIkVOstfojBQ5hYOl3Kesjj8eoIzx4cOBlSuBgQNNWzejHVZMGdMCyrOzsyMiWUN2WFZyEClyClaNzkDVSI0UOYWDpdyjrHbuPDZNnZv+/BOYMwdoFD4JZrLBiiljWhmOkpIS8c5YG5aVnHKSsfi8VZofUBLNSc8uwqVvL8X4WSvFO302I7mGzyd5LOW1ZEWvV14B2rcHvvji2Ext2jg7OjEhI6R1TLOysrB9+/Y6399888149dVXff6fC+xbB+7rLQ8sK/nktODfAxFRWD0Q9SwDXSOVzyf/ZUM4glC/tkZWmZmI/r//A776yvnDVVcB06aZth5G4gL7Bw8erBWIvHbtWpx11llYvHgxTjvtNJ//Z8WUYZhwR+bi81ZQdMkyqpZkY6u2yv527xmWrZFq5YeH9KR4sRNzj5YZfpAIejerZcuASy4BcnKA2FjghRectUrZShpQpCmw37hx41qfn3nmGbRr1w6nnnpqyMbEGIOeb4qLi5GYmBj2XWpkh2Ulj5yOHC3CY9+sk7r4vCyZ30rRer1W20g6nzwpka7oUSiV/VxWaccLF/UUwsgtMq7g+sThgOPFF0WWva2yEmjbFvjkE2dpKMZShFQxdaW8vBwff/wx7rjjDtWTu6ysTLxcNXBCybBT3qlGmdo0WWhp+co0vdNnPdPKulynKZiaLlB6pumdPivTvsZu5W2iNm85OTno2LGjWEY4bFM4ykkZz7Zt24Ss4uLiwmKbwlVOS1f9i8NHSkQ6QBQcwqhT5bCJadJK7Q4b9heW4M+tuRjQvrHltynYcjpQWAwbHLTnEGNzoIpCC6unK6u1/RgbcKDQGXf43Zo9ePzbDdhXUIJoG1DpsCEzJR4PD+uMc3o0j+jz6ft1e3Hz9JVif0ZVH3tRNudOVKYPFJQI6/5rY7IxuGum6jZ9v24fnpy7DrvzS2vk0bgBKbVdcWJWqlg+Yeo2LV0K2113Of9/4YXAW28BKSki0Sac5GTVY09PSTXLJD99/fXXyM/Px1UU66HCpEmThClYebVs2VJ8v3v3bvG+d+9e8SJ27dqFAwcOiOkdO3YgNzdXTJPylJeXJ6a3bt0qzMrEpk2bcIS6PQDYsGGDeAImKB6ltNT5dEgdI0gBc+0eQZ9pmqD5aH6C/k/LIWi5tHyC1kfrJWgcNB6CxkfjJGjcNH6Ztolihbt27SoeFsJlm8JRTrReulBkZmZiZ3U2ajhsU7jKqSQmGf2q63q3T3Ggb2OnItA5zYHjGzmne6Q5cHD/Pim2KdhySizej4bxzv03orUdybHO6fPb2JEQ7VRKabpx/Xh8t3oXflr6t7AG0nw0P1FRWor5v/0trIWRej4dOJiLOb+tERZm92OPXgR916l6mual/3japvkrtgjltVv9YjRNcMrjnJZ2sZ/p+/m/Lg/MNg0ciJJbbsHBxx5D1KefIreiIuzklGvhY0/ZDi2ENMbUlcGDB4unzW+owK0KniympJzSzkxNTbXEU0E4Pulomabl0AGblJQk/h8O2xSOclL+Sxed+vXrIyYmJiy2KVzl9Ou6Hbhm+mpUOtQtpmSp+vjavmwx9SCP8opKnPrCT9hXUIZoDxZTMsw1T62HH+88Hae9sBgHC0uFlZSsgorFlKZJgU1vkIBf7znd+VuEnU+/b87F2HeXejz2xDqUaQdgh03s64+u7YcB7dNrbRPJ47QXfsKeanlQYQlXazYtuHlqPH66+wzEREf5t02VlYh+5RU4LroI9mbNxPe0PFKyyLClqD7hJCe7hY89Mjw2bNhQU4ypJSymZG1buHAhrqO+tF6Ij48XG+T6IpSdQO++pmknuU4rYQN6punlPk3onaZxuE7r2Q6rbRO99uzZU7PMcNimcJSTcvHat29fzbLDYZvCVU7p0cXISEkQChTd8EkxQPU0KQP0qWmDBPRtmy7FNgVbTnGxMcI9TNC+IyWIcCqcNG3Dg8O7YsWOfOwtKBPfEzSf63SFwyYsqctz8iLyfDp4tKzOsSemHW7T1fuX5qX/uG/T3zsKhFLqSR40TarirvwysZ/92qbcXESPGAHceSdsY8bAtcIsyUpRnsJNTlESbJMWLKGYTps2DU2aNMGwYcNCPRTGIHTQderUSdfBx4QGlpU8curSubNQnAJdfD6c0VIj1Z8uRJFwPhkpcu/pP0Hp9vTLL0B2NvDdd0C9esAVV5AGFjGyCgdCnvxETy6kmF555ZXCDcLICZnqyURPLhLlKYqxJiwrueQ0uGuGUKDcs6EzwrCOaaCgfUSVC9Sy7f3pQhQJ55NSDH9fASUreUcpweWpMH5Auz1Rcs2kScAjj5BiAXTqBHz6KdC9e0TJKhwIuSZILnwKwL3mmmtCPRTGzwcMqkubnJzMT6MWh2Uln5x8KVaMb2hfKSWh1BQvb6WliLyiMq9yCldLnNI2lpKT6IhTU059WfF9KbjelFqvHDoEjB5NCoXz85VXAtSkpzrnIZJkFQ5YJvnJCFxgn2GYcCAQHY8YfcxbvRc3z3B2IVIjM8KL8ZtRxzQg3Z4oU7xPH2fR/NdecyqmjKWQpsA+Ez7QkyhVR0hLS6sJoGasCcvKWqh1vnl4eGec2Cyez6kgkZYU53Me92L8kXY+uVvujXR+UmJ+/Q5NIdc9ueNpnycmAp9/Loroo0sX1b9EkqxkhhVTxhSUchBUtouxNiwr67cbJVfnrTNW4KVhzXFOfz6ngoHRxJxIO5+8hURoxe/QFKoAc9llwJAhopOToHNnn3+LNFnJCiumjClQvA61k2WsD8vKOu57shqptRulcjpP/XoY5wxgy04wMJqYw+dTkBXc778Hxo4FDh4EVq0CbrgBSEvTtk6+T0kBX/EYUyAXCXWTUAr2MtaFZSVHH3eq6piMYvy59VBQxxWpKIk5ajY7+j7TQ2KO6/lEDxt/bDmE2St3i3f6zJgE9be//36nlZSU0p49gT//1KyUusuKsS5sMWVMQ2lVxlgflpX1XccUPpceDxw8UhK0MUUy3jLPfWWb0/lEveQfn7uhTqwwl/QyAWqteemlwG+/OT/fdBPw4ovOOqU64Wuf9WGLKWPOgRQVhaysLA4olwCWlRyuY3Ll/34gCk0aJAZtTJGOlmL8ns6nDUfjcfP0lXUs4BQrTIouxRKbRcRZZUtKgL59nUppcjLwySfOzHsDSilf++SALaaMKSguEurgxdmO1oZlZQ181XSMhgMDmsfihNacqBFM9CbmVFRWYfri1SL0QmmxqUBypW8olpiW6W+ZKbUKDmFtlU1IAO67D3j/fadS6kcuA1/75IAtpoxplJeX896UBJZVaHC1dpHi89CwzurtRm3A6BOaRWzNTCsk5ozMbi7evclgec5hlJaV1xWii3KqlJkyo4JDMKyyIWf7dmDNmmOfx40Dfv/dL6VUga991octpowpkJW0VatWvDclgGUVGtSsXf93ShvMWbWX241KysGj5VieGxXQ/u++KjiYaZUNObNnA1ddBTRsCKxYAaSkOAOu43zXmfUFX/vkgBVTxhTIRbJ3715kZmayK9/isKysVa/0rV+24dXLeosC766uY3IN7969m88pi9O4fhyyG9qxOs8Gu8Nmbv93jRUcXK2y/tYYDRnkcbvnHmDKFOfnjh2Bo0ediqlJ8LVPDlgxZRiGCSBarF1PfLu+TqtLe7gntYQJfbIaIjUxDra8Co+/G+7/bkLxf2nYuhW45BLgr7+cn++8E3j6aVOspIx8cIwpY86BFBWF5s2bs7VUAlhWwUWPtSsc5BQuWeNatyM2JhqjT+shrKUeY4W9lJkKdPF/KaBWor16OZVSct/PmQO88EJAlFJZz6lIgy2mjGkukl27dqFFixZ80lscllVwMWrtklFO4ZI1rmc7SE5dGlTgtTHZdeqY6u7/brCCgxlW2ZBAve3ffRcoLAQGDABmzQJatgzY6mQ8pyIRVkwZ04hjt4s0sKyChz/WLpnk5C2Olr5XqwMaDttBchrctQnO7trMeP/3ABX/tzSU1PThh8CbbwL33gvExgZ8lTKdU5GKzeGgRxY5KSwsREpKCgoKCtCgQYNQD4dhGKYO5AI+6dlFPq1d7jGmMm6jWsiCLNto9e0IC4v0zJnAH38AL78c6pEwFtXX2GLKmOYi2bFjhygZxS4Sa2NFWZFCEAhLkxUwau2yopzCPWvcyHYEU056i/9broPT+PHA2287Pw8eDAwbFtQhyHRORTKsmDKmkZjIrRNlwUqyCgsrkMZWl+7b6SsG0UpyioSscaPbEUw5KcX/pWLDBuCii4C1a53u+wcecCqmIUCWcyqSYcWUMQV6+qR2pIz1sZKswiUuMRDWLivJKVKyxo1sh0xyCgkUQ3rTTUBxMUD7afp0YNCgkAyFZSUHbMtmTKGqqgpbtmwR74y1sYqsfNX3JOh3WcsN+dvq0ipy0pM1rrY19H2mBFnjRrZDJjkFnbvuAq680qmUnnEGsHJlyJRSgmUlB6yYMqZgs9mQmpoq3hlrYxVZGa3vGSl1O60iJz1xtESganladTtkklPQISU0Ohp47DHghx+AzNB6P1hWcsCufMY0F0mjRpLFPUUoVpFVOMQlBjI+1ipyCnQcrezbIZucAgoV+dmxA2jd2vl5yBBg82YgKwtWgGUlB6yYMqa5SLZu3Yq2bdsimp6QGctiFVnJHpcY6PhYq8gpYrLGDW6HjHIKCEeOOGNJ584F/vkHaNPG+b1FlFKCZSUHrJgypj2JNm7cmEtwSIBVZCVzNxtf8bE0dvqdlBujSpkDNuwti8P61XvRpEGCNAqelFnjfmyHVc6nkLJqFXDxxcDGjU7X/W+/HVNMLQTLSg5YMWVMjd1hrI9VZCVzN5tA1+2MhBJa4YJVzqeQue7festZn7SsDGjRwllA/6STYEUiWlYSEcGPeIzZLpINGzZwZqoEWElWSjwfWUZdoc9WLhUVyPhYJUTgQGEJhrSoQrTNUStEgH6PxGQwq2Kl8ymoUH/70aOBG290KqVULJ9c+BZVSiNaVpLBFlPGNBdJs2bNItudJQlWk5WMcYmBio91DREgfW7loSjxbmaIQCCxsqU3UN3FrHY+BY3Jk4FPPwViYoBJk4A77qCdASsTsbKSDFZMGdNcJL763zLWwIqyki0u0Wh8rC/lyDVEgGJM95V4DhFYuvUQomw2SynyVm6WEEiF2YrnU1CYONEZW3rPPUC/fpCBiJWVZLBiypjqIunUqVNkZ6ZKAMsqNPGxWpQjV9d/jM2Bc1raMX9nFCodtZXOcdNXIL+kQnU54ZgMZuXqCRFx7cvPB6ZMcbYTJStpfDzw5ZeQiYiRleSwPZsx50CKikJWVha7SCSAZRX8+FhFOXJPmHKPG02vH1/zW5UD+H1/lHh3x1Up9bScYGPVZgnB6C4WEefTsmVAr17Ao48CTzwBWYkIWYUBbDFlTHORJCUl8d6UAJZVcONj9VgTXWciV/6hMm3jCLVV0qrNEgJdPSHszyfKuqdY0nvvBSornSWghg+HrIS1rMIIfmxgTHORrFmzhrMdJYBlFZj42JHZzcW7u1KoRznKLSqr5co/P6tKvGshlC1cA90swWimfzAU5rA9nw4fBkaOBO6806mUXnihM+u+Tx/IStjKKsxgiyljCuQaad++PbtIJIBlFVz0KEeuihu58Bfu9uzKN2N9sjRL8CdxKRjdxcLyfFq+HLjgAmDnTiAuzmk1pa5ONutVgkCkyyoMYekwprlIEhISxDtjbVhWwUWPcqQoeM6EKhsKK2ziPRDrC0QyGOE+Wn+aJWiNzVXDdX96gr7P9LO7WFieT4mJQG4u0L49sHQpcPPN0iulYSurMIQVU8YUyDWycuVKdpFIAMsquPhSjojUxNia2FRFwYu1OXBxW+2ufDOUrFA1S/DkqjcjcSlQCnNYXvvKy49Nd+0KfPstsGKFM+kpTAgbWYU5NoeDopvlpLCwECkpKSgoKODaZCGGDqOKigrExsby06jFYVkFvwg7WfZu/HiF13necFHenO7rdcg/WooScQ+1CaVzRM9MvPXLNqccXf6rjNAK3bL07kM1V/3oPi0xeeEmn+ubeX0/n4lLgaxjGhbn0y+/AFdcAcyYAQwYgHAlLGQVAfoaK6aMaSe83W4XsTt8wlubSJOVVkUpkMoLjeH4Jxcgv7h2mSdXGibF4qHhXZHRwDlGktOyrYdw8GgZmjRIqBm3lbsrmVVj1L02rDemjM4WiWeheuiQ+nwiyyF1bXrkEcBuB84+G/j+e4QrUstKclgxZUKW7di9e3cuXGxxIklWWpU4bwqSGZZIck9f+vZSzfPTGB8e1gmZ9oMe5RQoJSuY0Dac9OwirxULtKDFYirb+RQU+e7fD1x+ObBwofMzWUxffRWoXx/hSiRd+6wGK6ZM0OEnUXmIFFlpVTZ9KUhKRvlv955hWDmg2Mnxs1Zqnt+5Fgdeu6wXhnRvFpZy0qusB0IuVjyfgmIRX7QIGDMG2LfPmehECulVVyHciZRrn+yKKSc/MabBAeXBx2h9x3CXlZ7EmWB0LdKbKa+M8dn5//rVlcjK6ClrFajEJbMw63zytwqB5i5OgwY5lVJKcqLSUBGglEbKtS8cYMWUMQV6Cl2/fr14Z4ID3aTI0kdWJ7LG0Tt99nXzigRZ6VE2g1GEXUtmvjvRNuDEtGIRZxqOaFXWJwzqaCjTP1iYdT4Fo32qgArkn3cecO21TiW1i7NqQSQQCde+cIAL7DOmQPE62dnZvDdD7KZWLCvebtqRICujRe0DVR9UKVtEstGa2FPpsOHTrdEYeKJLGZ8wQmtR/lvOaC9eVo2pNet8Mrt9qmucavu1y9Bp+BmITk1x1iP95BMgNhaRRiRc+8IBtpgypsXulJSUiHcmsPhrWYkEWRktah/I+qBqdT7VoNL6DWIdaFw/HuGInhqjvtq+hhKzziczLfeKN+XyN5dg5813oPPYC7DolPPw3Zo9zhkiUCmNlGtfOMCKKWMK5BrZvHkzu0iCgL8xkTLIymjsrIIeZTMYRdhdlVNK1qFM8skX90TDpDjVMcbYgJFtonBC61SEK/4U5bcKZp1PZlnua7wpO3dh5sz7cMsfnyIKDuyPTsAtH/1lTpyqpMhw7WPYlc+Y6CKhEhxM4PHXsmJ1WZmRlezNde5J2VQUJPf1ZgSgPqhi/SMS4qJVx0iu/IEn9kJcbHhHXNG+PatLhmVd9b4w63zSGtrgzXKveFNO3bIcL347GQ1LCnEkLgETh9yGbzufLJZBv9P+lmX/monVr32MEy6wz5gCuUaKi4uRmJjIZTgsUmZHrb6jlWVldj1RvUpuKOqDqo3x4eGdcUrbFEvKiQnM+aQc/2K5Bo7/pRv2YeWV43Djsi/F5zVN2+GWkfdie1ozS9V+DRVWvvaFO4U6ykWF96M4EzTINZKTk4NOnTpx4eIA469lxaqy8hU7a8Tao9Ua566QDu/RLGgWJbUxwmHHhg0bLCcnPYRDIwBfmHk+qVnuUxJicfXALHGceCNvzwGMWv+TmJ52/LmYdNo1KI+JNbXChMxY9drH1IYtpgwjIf5aVsLREmyUcGrxaSV4v/qn0E9dtBnTlmxDfkmF5uOSzqGXHnobqSVH8P1x6j3vI9ViyoQOLrDPhMRFQgceZztaP2nEqrIKRj3RkBQ0N4hV5ST7fpVBTgvW78NLCzfWUko97r/ycmDCBGD6dPGRLNI7uvfBDypKqVkVJmRF5nMqkuCsfMY0F8mePXs42zGIuGZ4TxmdLd7psy8rn1VlFYx6oiEpaG4Qq8pJ9v1qdTlp3n+btwADBwIvvQTceCOQmxvUChMyIus5FWmwYsqYAsXrcNxO8DFS39GqsgpWPVGFYLQi9Qc9cvK3vJaZWH2/mo3Z55OW/ddz2Y9w9OoF/PUXkJbmtJimp4dNCa5AYdVrH1MbTn5iTIFcI5RtR1l3nO1obawqK70lnvxNtAlF6EAg5GS1WE6r79dgy8nM4zK+shz3L34XV6741vlF//7ArFlAq1ZhVYIr0q59TG1YMWVMgVwjBw8eRHJyMj+NWhwry8poPVEjylmwQwcCISd/WtMGCqvv12DKyczjMq6yAp9Nvwc99m0Wn3f/361oPvV/ql2cXOvlMr5lxVgHzspnGMZy6LEyGa19Suugto2+ym5R3K4VLU3K+NXcvqEav+z71SwCcVxO/GkaLl69AE9efC+ef+++sN5/THjBWflMSJ5EDx06xEHlEiCDrLTGzvqTaGP1RBFfcrJqLKfV92sw5GTWcVmvogyNjx6T3/9OHotzrn4FZ991ddjsv2Aiw7WP4eQnxsTYnfz8fC7DIQHhJCt/lTOrJIp4Sl7yJScrx3JaZb8GA09yMuO4/HBAMubOuAtvf/kkYqucZaPSG9bHYzedFVb7L5iE07UvnOEYU8YUKF6nXbt2vDclIJxkZYZyFupEEe9xiO2kjeUM9X4N5fnk93H50Uc4+aabgKIilDdqjDf6pyKxZ/ew3H/BJJyufeEMK6aMKZBrJDc3F+np6YiK4ipkVibUsjKzTaVZylmoEkW8JS+N+/hvvHJ+eww5oaNHOfnbmjYYREICjqfzyfBxWVQE3HorMG2a8/PppyNu+nScmckW0kDJirEerJgyplFcXMx7UxJCJSuzSxvJoJyp4SsOkarZfPN3Ds7q3QGe7qH+ltdiAnc+GTou160DLr4YWL8eQuCPPAI88ACZ+VhUAZQVYz34kYEx50CKikJWVhY/hUpAqGQViDaVMifa+IpDrHTYMH97Ff7anq86TyTFcsp0Puk+Linm8YYbnEppRgbw44/Aww+zUhoEWTHWgy2mjGkukgMHDqBJkyZ80lucUMjKp3WwOkuZYhL1KpFGa5+GGl9xiFFwoHOaAwcKS7yGQtA+i4RYTtnOJ13HJZnHyX0/cSLw+utAkybB3oyIgO9TcsCKKWMa5eXlvDclIdiy0pOlbCQmUcZEG59xiDYgMRponBxv2S5PjPfzyetxuXo1sGQJQElORIcOwBdf8C4NMHyfsj6smDKmQJaCVm5t8RhrEgpZBaO0kWyJNr7iEB0OG3ZVJKBv23TLdnlifJ9PdY5Lctu/+SYwfjxpSUCnTiLJiQk8fJ+SAw60YExzkezevZsLF0tAKGRlRva8p1qfvjDyn2DhKw4xyubAg6dnwAaHXwXbGQudT4WFwKWXAjfeCJSVAUOGAN27s4iCBN+n5IAtpgzDBBx/s+fVXNgPDeuMtKR4j+57Gdze3uIQHx7eCT0aBicUggkCK1YAl1wCbN4MxMQATz8N3HmnMwOfYZgabA6JWyDo6b3KMExoUVzRUCltpOaKVnNhe0JRPAkjfcpDha/armTxHT9rpc/lTBmdLdq4Mhbjrbec9UnJdU9u/1mzgP79Qz0qhrGkvsaPaoxpLpIdO3awK18CQiUrI6WNvLmwPaHEW078co1Ubm8lDpGUSnqnzxWVVVj013rM/mcnco+UWbrLUySj6XyiWqSklI4YAfzzDyulIYLvU3LArnzGNOLi4nhvSkKoZKU3e96XC9sdRdXML66Q2u1NVuLHv1mHtKgS/Jtngx020C5S06Wt3EggYs8niiGNr66ocM01AHVvOuccZ2koJmTwfcr6sGLKmJbtmEGFoRnLE2pZ6cme9ydL34xlm9k+VSuuoQt7XJxa3pRSKzcSiLjziaLjXnoJeO014M8/gYYNncro0KGhHCZjgWsfo42Qu/Ipm/Hyyy9Ho0aNkJCQgO7du+Ovv/4K9bAYAy6SnJwcduVLgEyyCqRrmpbtLWufFMSTnl2ES99eKuI76Z0+G+lQpRXX0IVomwMDmtjFuyvuuid3ebLQ+XT4MHDeecAddziTnN57L8SjY2S99kUyIbWY5uXlYeDAgTj99NMxf/58NG7cGJs2bUJaWlooh8UYJDExkfedJMgiK1/Z/EZQ3N55ReVC0fSUtU+Eomaoa+gCGd5yy5zvrpDuTNUI0pPjpWgkECoUa/e+ghIcLipHw/rxyGgQmP0lzqc//nCWgtq5k/zFwIsvAjffbOp6mMi59kUyIVVMn332WbRs2RLTqBVbNW3atAnlkBg/XCTUko+xPjLJSqn1ScogqRJalFOaLzUxFnnFFXX+o6gjI3pmYtwMdcUzJTE2IO1T9YQXUFzpxgLPyyellLPv1fFUKixQJcPI7djk/feB++8HqqqA9u2BTz8FevUyZflMZF77IpmQuvLnzJmDE044ARdddJE4WHr16oW3335bdf6ysjJRcsD1RShmeXr3NV1VVVVrWqmWpWeaXu7ThN5pGofrtJ7tsNo2UZu3LVu2oKKiImy2KRzlRNP02rx5c01rPqtvEykQr43pheapzkQSKjivuLddp6m3fEz19NOjuuH1MdnCMkrfU7F6ollKPKZe2hNzVu2FzeYQvxHR1dP0ieYtLC6v+Z7W4TpNnw4WluDPrYdMlxNZQJVtotdpGVWIi3Lu3yiXbW1cP95ycrLK+TR/zW7c/PHfQimNcZGfMk3f3zr9b8xfs8eUbbJPmgTce69TKR09Gvbly2Hv2dOy55NV5BSKbaL7E3lllTGFwzbZJZOT5RXTrVu34vXXX0eHDh3w/fff46abbsJtt92GDz74wOP8kyZNEnWwlBdZW5U4VWLv3r3iRezatQsHDhwQ01TKIzc3V0xTfAmFECjrp5paBB2sR44cEdMbNmxAcXGxmF6/fj1KS51P3WvWrBEHNgmPpumdPtM0QfPR/AT9n5ZD0HJp+QStj9ZL0DhoPASNj8ZJ0Lhp/DJtE40hNTUV+fn5YbNNMshp9eo1IjZyzt85+PGPv4X70tc22Ww2YTlQtkMGOZ3SNgVvDM/EzOv74aXzO+GNc5vhtct6o2fTOJyW6bw4ZiUD52RFCzf78U1j0Dm5Ar/dewbeu6QjJg9rKf47a2xnJFYVCeXk+EYOdE5z/rdvYwfapzinT2rqEMsiaNnNk5zTZzW3o2mCc/qclnYczCsU+5v2O+1/kgPJw59jj9zMtE2nZ9KFHah02DCgiXNcNL5+jR3C4peVWIFIP5+2bsvBr2tzRHzw4uVrcTgvX8hj0Z+r0MRFTg2rE+NHtLYjOdY5fX4bO56dt16U5PJ7m268EeXt2uHAE08AM2Ygt7zc7/OJtoO2ac6yTeK4+m/jRmnlZKVjj+5PJSUl4hoYLtuUJ4mclO2wfIF9KttAFtPff/+95jtSTJcvX44/KF7Hg8WUXgpkMSXllHYmKUWKtk83XbVp0tqVGzNN0zt91jNN0DJdp6Ojo8VTgZ5peqfPyrSvscu6TWSnIOvSwSMlaNIgESe0ThUuUJm3yQpyInflU9+ux678smorG9C4QQIeHt4ZZ3dpKuU26ZVTZZUdy+jYKipHo6Q4EYB5qKRCWBT7ZKUhNqbu9n2zajfGf7LaaUV1OF3mZIl0qExTTKfDbZqsb7ee0RGz/toprKdV1d+3SI3HA8OcbmKj20SWvFtnrECVwybkSgndNB1dPT11zPFCvjLJyexj74f1+/Hk3HXYk19aI6emDerhkj6t8fKP/9WSU5XKdKUDmHFdP/Rtk6ZvmyorET13LhwjR8KubEdZGRwxMaacT7Rtj8/9FwcKS2q2QzmuzuneTCo5heOxx9sUZUhO9FDQsGFDTQX2Q6qYtm7dGmeddRbeeeedmu/Igvrkk0/WWEG9wZ2frAMdmPSU1bZtW3EgKsjQFlJG1LohaelspCYrmZNY9BxnZIGiDHuj0BopBrWguCJgnaVoe0jxOi6xBD/ttQnFlM8b38e+3puZ7k5Z+/cDY8cCCxY4uzldf72p55M/5zXjG9mufeGEHn0tpMlPlJH/33//1fpu48aNQmFl5IKekKiqgvKk5O0iG+jM5nDHWzckLck5nmQlcxILoec485Xp7yt5Svnsbf8/8NValJRXISMlwVAWOI13UOem+P3fnRhREY0mDYwtJ9KO/YCWI1u8GLjsMmDfPiAhoaZ4vlnnk7/nNeMbma59kUxIpTNhwgQsXboUTz/9tEjGmDFjBt566y2MGzculMNiDEDmfAqnoHetNxCrtYWUBV/dkFw7G2mRlVVRHmzUtnWvwfajSqY/4b4HlM+Tzu+ON1Tap04Y1MFnZ6lDReWY8Okqv2qfxkRH4ZRurTGyV4uaNqVWwFvt10CjtxOYGrQnM7V2yqKkjcceAwYNciqlXboAy5cDV1xh6vnk73nN+EaWa1+kE1KLaZ8+ffDVV1/hvvvuw+OPPy5KRb300ksYM2ZMKIfFGHSRUJA0JbKRi0TPRdaqbSGtitZuSGrzucvKinh7sHHFYbD9KFkkyZLqbo3NcHP/e2qfOnf1Hl3bYtRDYEU5hTo0x8xOYJo6ZVHCCN2PyFqqtBZ95RUqhmm6nPw9rxk5zynGgi1Jhw8fLl6M3JBrpFmzZjUuEr7IBg6t7ke1+dxlZUXMsowpeDoeSZHypHi6Kiue2qfq7UZl1A1rNTlZITRH674nq/as5Tv9r2NKoWY//wwkJVEChDO+NEBy8ve8ZuQ7pxiLKqZMeECuEdeAZr7IBq7vupYYyQwvbkp3WVkRs61CasejJ8UzEN2ojHgIzJITHXdLtx4SbncaSf+26einMzTAKvGPWo/9W87oIF5+d3467TTgjTeAk08GOnUKqJz8Pa8Z38hw7WNYMWVMdJFQnbJOnToJFwlfZAPnAvXWDcmmwU3pLisrYqZVSHMsYQC7Ubkq3FofUMyQEx13FIPrGu4wdfEWkdz1zPndNR97VgnN0Xvs6x4L1X284QZg8mSgY0fnd9df7/UvZp1P/p7XjG9kuPYxIU5+YsIHco1kZWXVuEi0JJhEykVWLYlHcYEaSYxRYiQ9Jef4cqm6y8qKKA82ZjC8h/lWPLX974uc3GKRDEVJUeNnrfSaHOWvnGiZN368wmMMLn13o45jz0qhOf4c+16ZNw/Izna+X3ed5r+ZeT4FbNsYaa59TIjrmPoL1zG1PqFOlgg1ZB0jxUPN2qS456hDkRHlyazwACuiFtNoBMqwD8TxVlNjtbAUT8xdh8NFFSGrfeo+roHPLBLj8kZGg3gsmXimz2NGa+1X6q4VrGRG0479igrggQeA5593fqYe9598AnTogFARzuc1E5kUylLHlAkfyEVCLcq6dOlSy0WiJcEknAm0C9RIjKSarKyGWua8ArmjvWXkuxKo+EfX/Z8QGyUUaRisfeo+Rn/kpCjLvthXWKbp2LNiaI6RY78O1L5x9GhA6TRIpQpfeAGoVy+k55Mp28ZIe+2LdFgxZUyBXCPt27f36CKJ5IuslVygWmRlNVwfbNyTWOx2B8a8+6em5QQj/tFbCarRfVpi8kJnn2utDyj+yEnP8aRl3rCMf1y7FjjlFGo2DqSkAO++C1xwQVifT5EOy0oOWDFlTMt2TKBuKEwtrFidQDZZqT3YkLuTrHhay0oFK/7Rn9qnrmP0R056jiet82qt/SoNxx3nfFEB/VmzgLZtI+J8imRYVnLAiiljmotkzZo16N69O7tILO4CDRdZKVY8SuKxkvLvT+1T1/n8kRMdT2RV1hJjqufYkz40h1z3mZlAbKzzNXs2kJoKxMUh0s+nSIBlJQfse2DMOZCiokTcDruzamPF6gThJCtSlF67rDe87T5d7ScD/IBi0zFGrXLy1CKUjqdHRziPO288OqKr12NPbdmkeI/Mbm6pVqk++fJLoEcPZ6KTQpMmfiml4XY+hTssKzlgiyljGmwtkMcFGk6yGtojE1PRCzfP+KfOb1aJfzQao0lyImVweY5nC6WvqhdUjcC9jimhpY5poCtqBC3zvKwMuOsuYOpU5+clS4Dycr8V0nA9n8IdlpX14XJRjCmwi0SeEjDhKisZSpPpGSPJad4vf+LZP4uxK7+szvyEp3Ja7uWnjHR+UivVZVZpq6DJavNm4JJLgBXV4R733AM8+aTTjW8S4Xo+hSMsKznKRbFiypgClcO12+3CVUIB5ox1CWdZWUX5N2OM89fswW0zVqBCaIfHflemUryUy/KnPm6ga+8GWumtgWqRUtemI0eARo2ADz8Ehg6F2YTz+RRusKxCB9cxZUL2NMpxVnIQrrIyszRZoJRcLWOkdT8+dz1iooCKqtq/KQqdtxqu/tTHDWTtXdouspTqqedqSB4HDji7Nx09Cpx0EjBzJtCiBQJFuJ5P4QjLyvpwjCljCmQxoMLF7M6yPiwr64cFkAJ2sLAU57ex48ttUag02P7KSImsQNbeNar06pYHJTW99ZazVuljjwExgbvV8fkkDywrOeBHPMYUKLYqOzubY6wkIBJl5Sm73Jer2V2BopJfN+noL+8PpPRVOmz4dGu0eDeKkRJZgay9a0TpVZMHfaZSYVMWbnLK8+OPgcWLj81w6aXAU08FVCmN1PNJVlhWcsAWU8a02J3S0lLUq1eP46wsTrjJypeLV1fCkR+uZiNjU4PmtcGB5FjgSAWtW5+c/KmPG8jau3qVXm/yUHh9/mq0mXgbRvz9HZCRAaxeDTRujGARbudTOMOykgNWTBnTXCSbN2/mHsQSEE6y8qV0qiXaKNZP90QbM+Mr/QkHIKWveWo9nJhajDnb67rybdUln/KKK0xvERrI9qN6lV6qJuBNHu1zd+C1r59Bx0M7YIcNW0ddhvYNg1uvNpzOp3CHZSUH7MpnTIEuyBxfKgfhIitfLvd5q/d4tX4S9LurW9+s+Ep/wwFI6XtweFd8lRONKjdXvvJp0vndRZ1SUuRcoc/+ZrYrtXfNXraehhO0j8ZNV+nq5XDgotUL8M0HE4RSeiApDZePfhJjWw5FlS24t7VwOZ8iAZaVHLDFlDHNRVJcXIzExER2Z1mccJCVL5c78eDstThcpC9z3Yz4SrPCAQZ3zcBrl3TB499twd6CMtXGDIFqERqo9qNaGk6oWbqJmKpKPDt/Ci5Y54wn/SWrF+4Yfgdyk9IAL9bsQFVZCIfzKVJgWckBK6aMaS6SnJwcdOrUiS0HFsfKstKqPPhyuRPelFI166cZ8ZVmhQOQnFrFFePnu07D3zsKVPeJmSWy3AnUsr0pvb7iSiujohFjtwvL6P9Ovhyv97sQDhcrqSdrdiCrLFj5fGJqw7KSA1ZMGVOgC3LXrl15b0qAVWWlR3nYV6i/VJEW66ee+Eo1JdqscABXOQVK8QwlakqvR8Xe4UB8VQXKYuIAmw0PDB6HD3oPx4oWnX1as/XGGQf7fJKhKUS4YNVrH1MbVkwZ01wkR44cQXJyMruzLI4VZaVXeTh89Jhr2xvJ9WJwtLRSl/VTq6tZTYk2q9ySFeUUDNwV9vplxXj6+6moV1mO/xv1gFBMj8Yn1lFKPcnT7CoLZssp1PVyI41IPadkg5OfGNNcJHv27BHvjLWxmqy0xIu6Jyk1TIrTtOwLezfXlGjjDikF1HJz5vX9MGV0tninz67xj2qJTXlF5UK5ULvt0feZGsotWU1Owaon66qwd92/Bd98MB4j/v0FZ2xehm77t3hcrpo89YRVGMWonKxQLzfSCMdzKhxhiyljmouEYqwY62M1WRmJycxISdC07LO7ZqJv20ZerZ96XM1aLHBPfLseDw3rjHEz/vGr3JLV5OQvWq2DIs63QTwG/fQlHlz0NuKrKrE7uTFuHXkP1ma0F/PQrnPVadXkGcguVv7IKRiWXMYcWTHBhxVTxjQXSUFBAVJSUthFYnGsJisjyoOSpORNoVWsknRjNyu7XKsSnZYU7zMcwFdsodXkFKxQjejCAnz10xRkLJgrPi9o3xd3Db0dBQnJNYr91Et7Iy0pzqc8A9nFyh85mVkvlwmsrJjgw4opYwrkGjl48KCI3eHMVGtjNVkZUR5ck5TU4kddrZJmZZfrUaJHZjdXVYi1WA+tJiej6LYOjhqFjJ9+gj0mFq+cfS0mdxsm4kq1Wrpdof1NjQjyiz1XaPCni5WCETkFw5LL1CVczqlwhxVTxhToJO/QoQPvTYlkpcT7hTob2GiJJrUkpUAmj+hVoj0pxFqth+FyTum2Dj79NHDllYj6+GPcckIfnOiHpXvB+n2qSqmybqNdrBSMyCkYllymLuFyToU7rJgypj2J5uXlIS0tDVFRnFNndVl99/dmPLlwB/a4FG43U6HTUwLHnxaYeorAm1GWx586p7R+arE58Ys1mqyHNjjC4pzyZfVLKTmC7vs248CRbOcX/fsD69cDMTEgm5ZRS7diqfUGWVNpXwf72mdGvVwmOLJigg8rpoxpsTv5+flITU3lPWpxvl+3F58s+Q/7C+n2ZzO9rqOREjhaSjSpocVN72lMDZNi8eTIbhjao5lmxdWoEu1p/b6shydmpYbFOeXN6tdr9wa8MudZpBcXYMNVpwHZzioKpJT6i5YmDGRN9TeO08i1z5+HMcY4fJ+SA5uDJCUphYWFIoiZgpkbNGgQ6uEwjOUh5eukZxep3rAVSw2VRjJyU1RzUytL8qX0BqLYuLf2lsQNp7RBr1ZpupRpPcq3r/V7gkpUUYxqOB1zrtZBm8OO65d9hbt/+RCx9irsatgMmQvmIrp3L9PWSyWpxs9aael9zXVMmUihUIe+xhZTxjQXSW5uLtLT09lFYmFI6dtfUIKOKQ5sLrDB7lZt059sYDNK4JjdAtNXe0vizV+2AaBXbbxZkLWGEGhZvyfS68eH/Jwy6yHB3TqYWlyAF+a9hDO3LBe/f9PpZNSb9g5a9O5o6viDFcfpj5z0hKIw/hPqc4rRBiumjGkUFxfz3rQ4dPOjBOf0eGCLuw/RbT69WLEEjhZ3rhq+lGktSrTh9TtCe06ZbclTQjW+euUTPDrjSWQePYSy6Fi8NHwcej5xN87q7gynMJNgxnH6IyezH8YY7/B9yvrwIwNjzoEUFYWsrCx+CrU4ZJGpctjw+4Eo8e5tPr1YsQSOv+vytzOQ0fXnFpWF7JwKVEcioZxm5Aml9Gjrttjw9QLc9eWLGBIApdTVUmuk85ce+NonDywrOWDFlDHNRbJv3z5u9WZxyDrULCUe3dLsiPJgR9LaLtNTi8ncI9r61+fkBs8KaFa5HaMKptH10/+CeU4pcvxqxS7c/9VaXe1h9RD18MPApEmov3YVeg4/NeAua8VSS5ZRV+izv0l+CnztkweWlRywK58xjfLyct6bFocUgYeGd8a071c4a5Y7jFuRPLl73VtFeuKlhRtxXEb9gNQZdYcUbMq+P1ykXssykAqmL3eyd/eyIyjnlNaKAYbCMX76CXj+eeCLL4B69aiQJDBxYlDjXoMRx8nXPnlgWVkfVkwZ01wkrVq14r0pAed0bw6bLQo7DZRm8pVprtWQFqw+4LR8Kgl184x/DP1fSxyiN2XJW1kgT+uq/WBgC/g5ZaRigCYLclUV8OSTwOOPk5nKqZw+9FDI4l4DGcfJ1z55YFnJASumjGkukr179yIzM5PjTCWQVfc0O365+zT8tT1f1YqkpnAZzTQPVRIU1Sm9YVd+dfa9OkbqSWpRltRqtLpbl90fDAJ9TvkjR68W5H37gDFjgEWLnJ+vvhq44w74g9ZuWaGAr33ywLKSA1ZMGSZC8WZF8qZwpSTEGc50D1US1H1Du6BnizQ8OHstDheV19kmQm9xfz3Kkid38vGt0/D39ryQlQkyUjHApwV54UKnUnrgAJCYCLzxBjB2rF/jNKMMGcMw8sCKKWMKZNFp3jw8CoJHuqx8KVxXD8wyZRzB7gM+tEcmBndTjzXUE4doRFny9CDgzWIc6HNK74OBTwvyu+8C119P7XWA7t2BTz8FOnXye5xWLEPmCl/75IFlJQesmDKmuUh27dqFFi1asCtfYllpUbhmr9zj1/pD2Qfcm5VYTxxiMJSlQJ9Teh8MfMYgn3kmkJICXHQRMGUKkJBgyjitWIbMFb72yQPLSg5YMWVMIy4ujvem5LLSonAdKioXme55RRWqhctTEmNRUOzMhA92H/BAtDUNlbKk5Zwyur1aKgaQnB8a3hUZDVSWu2kT0KGDczorC1i3DmjWTMoOTv7A1z55YFlZH1ZMGVMgi05GRgbvTcllpVWRGpXdHO8tyVFNGHrm/O6G4jZl6T0eDGVJyznlb6a6WsUARY5Pj+rueTkVFc4se8q2nzsXOOcc5/cmK6XB7uBkBL72yQPLSg64wD5jmoskJyeHC+xLLiutitSgLhk+C5fT67d7z8DM6/thyuhs8U6fA6mUBqJjkTdlSc0uqbdRgZFzyoztNVSAfscO4LTTgGefdZaCWrIEgSRYHZyMwtc+eWBZyQFbTBnTSKQsXEZqWemxTpEi4CthKFh9wIOdua3F2miGsqQmJ63be0anpj4z/3UVoP/mG+Cqq4DDh4EGDZwJTxdeiECjVnIr0BZ4rfC1Tx5YVtbH5nBQCqWcFBYWIiUlBQUFBWhAF0mGiWDMiq1ULHFQUbgCVTPSn/FTO81L317qcz6y2pqpKHtzpQey25DW7XXvemU4rIE6UN13H/Dii87PJ5wAfPIJ0LYtgkkw4ocZhgmtvsYWU8YUqqqqhNsxKysL0dR2kAkqemINfckqFNYpf2NDQ5W5rVgbl245hD+25gr1nRRfSvw66dlFfsW6epOT1u1wb8WqpyC9qxLYcfnP6Kwopbff7nTjhyDZMVgWeD3wtU8eWFZywIopYwo2mw2pqaniPdIJtlVHb1ccLbIKRn9xo+O3Wub2gvX7ainVUxdv9jif3i5F3uRkdDu0hjXUfVBIwdMnXYhOFw1F79uuNrTucIWvffLAspIDduUzTAgsf2Ypr7Qcd8ucp5hQSjqyosvTrPEry/EVG2v2ftDba96scfjaXi2ohTXQNo1//0/c+vtMTDt+BA4lpdaMnfCkWLOLnWEYs1z5nJXPmOYi2bRpk3iPVLRmSdM7KRUUIzh+1krxTp+NZI3rKfQeCFmRQkLxjrNX7hbv9DnQ4/e0XiLYmdtGes2rbY/H5XuRk7dMda14CgegbXr3/QX4/OO7cMsfn+LFb190dnKqHju9aJtd5Wzm8SwjfO2TB5aVHLArnzGtPlzjxo0jtuuT1ixpqq4zboZ/bmt/YyvNkpUZNUONjN/beoMZG2uk17ye7fYlJ7VY4EZJcaIJgi88hQNsmfoe3nvlViSXl+BwQgO8f/y55P+sNY9rRyszwjBkJ9KvfTLBspIDVkwZU2N3IhWtlr8HZ681taSRkdhKM2RllkKid/xa1ktucr1hEoorel9hKQ4fLUPDpDhkpCR4/a8/iVRatluLnDzFAh/fOg2nPr9YX0H6khLgjjvQ8Y03xMflzbvg1hH3YF+DdNW4Wvp/MEt0WZVIv/bJBMtKDlgxZUx1kXTo0CEis/K1Z0mXm9pf3UhXHH9lZWbNUD3j17NePZnbniywWizARhKQ9HQp0ionT5nqumqsbt8OjBwJrFolPr7a7yK8ePLlqIpSX+fslXtwZqemmh7GqGJBVJQtKMmAoYh1jfRrn0ywrOSAFVPGNBdJs2bNItadZWa2tx5LnJZC76P7tMLc1XtqbtT+ykpPXKgvBVEZ/43VdVPhRYmiWFKz1qs1eWmvFwsw7cvUxFjkF9cuyeQNh45YV3/kpKvkV1oaUFQENG6Mqg8+xLt/RaHKrcyUOxQq4CyP5RsKXckvMaGWqkXa0boT6dc+mWBZyQErpoxpLpJIbnKgxfKX5lbs3CwlV00JIaWJxjJ54UZTb9SBqBnqScFLSYzF0+d1Q0pCnEhy2rT/iKnr1Zq85FCxAJM7W49SGuxzymvJr9JSID7eGT9K6/j6a6GgRjdrhlGV6/DukhwtI9Q0Dlel1N/4UzWLaChjXSP92icTLCs5YMWUMc1FsmHDBnTq1Mky7qxguvW0WC6fHNkNT3z7r77YP4NKSE5uESYv3FRnPlr3rdP/xuQhTXDOSccbkpWZNUO9WSxJ6bv789UoKq8KyPj0JC+5W2IVpVYvesIczDinPBakX78euPhi4IYbgFtvdX7XtWvNz4O6ZGhSTGm5X6zYpbtkldH4UzWL6EPDOovzKlSxrla89jGeYVnJgW7fw+OPP47i4uI635eUlIjfmMh1kVCHGqu4s0JRwkaxXJJy6Qp9pu+H9mgW0JJGihIyvEczzFq+0+M8dKOucgBTlxfAYbDQkGIdVvs3fZ+pQcHWYrHUo5RqXa/R5CXX+Y1m5OspFxWQc+r994E+fYB164D//c9pOTUo335tGxkuWeW+H3yVHVMrxUafb57xj6GSY+F67WPUYVnJge4z6bHHHsPRo0frfE/KKv3GRK6LJCkpyRKdn7TWEw2UckpZ4VS8fMrobPFOnxU3oi/l1Qx3oy+lyQ4bNuSWY3lOnqHle6uhqUfB9qfcEkxQ7PWGTLjO729rUy3/N/Wcomv2lVcCV19NF2tg0CDgzz+BevX8kq/a8ZyaEKt5P/h6iDRSL1ZtXeF+7WO8w7IKU1e+w+HweAKuWrUKDRvqd0Ey4eMiWb9+Pbp06RJSd5aZGeOB6ucd6Hafvm7AMTYHRrS240AheT4aGQqB0JVcY3CcejBSq9RXXLAr7pZYf5PdtPzftHNqzRqn637DBjIZkdsLmDgR8LJMPfL1dDzbHQ6MeedPn0OjkJOXFm7yGhtKMcZmPMAEoh2tla59jG9YVmGmmKalpQmFlF4dO3aspZySsMmKeuONNwZqnIwELpL27duH3J1lZsZ4IPGlvAbyBkyu/IW7o3BhcoJfmc3+Ktj+Kgq3nN4eHZrW97leNUXbNS7YGzYPllg9Sq3ROGJTzqnDh4GBA4EjR4BmzYCZM4FTTtH0Vz3ydT+eaZ9rKQM2c9kOnw+Rd53VUdcmmxm7LdO1j/ENyyrMFNOXXnpJWEuvueYa4bKnnqcKcXFxIsamf//+gRonY3HoQSUhoa6iE2wCkTEuG76VJhuSEuuhb9vairGRzGa9CrarkpieFC8K2Xur7eqNge3Tfa7bl6KtZhn0NK/WZDezwg1MOafIi/XAA8BPPwEffihKQgXjAUprGTPXihFqD5Erd+VrXq+muq1heu1jfMOyCjPF9EqKTwLQpk0bDBw4EDExnNDPoJbVfM2aNejevXtI3VlmZozLii+lgFz59/dLABx2mjtoIRCelEStsYhaLWCuim9ObjFeWrjRp6LtahnU0/lJTaklZXZEz0zMWbXXr9aohs+plSvJWgB0ccaJ4u67na8gW/R8hQOUVdLxpwVtx9vVA7Lw3bp9QWlHa8VrH+MblpUc6NYuk5OT8e+//4qTkJg9ezamTZsm4mseffRRYT1lItNFQsdAqN1ZRjohhSNqSgHVBr26fxYG9W9dS1aBDoFQs8YWuNW49IU3C5i3Dk6+FG2jlkFv7u57hnT2K45Y9znlcACvvy5ai6JtW2D5ciApKegKqdb9Q9n3WshqlKhpvrO7ZuDB4V2C3vnJKtc+xjcsKznQfSbdcMMN2LjR6X7ZunUrLrnkEiQmJuKzzz7DPffcE4gxMpJA1gJfZV8CPgaTMsbDAaVCwIRBHWosk1QbdPKPG3HWS7/Wqk4QyBAILdbY1IQYpCXG1im6Ty8t1QvUKjEEo4SQotSOzG4u3pVjS+17XcvWaoErKHAmOI0bB5SVAe3aAeXGQiTMRm0/aC1LNbZ/lnjXkpxmxj43AltK5YFlFYYWU1JKs7OzxTQpo6eeeipmzJiBJUuWYPTo0SIWlYk87HY75v3yJ579sxi78suC2hLQHTMyxsMF6k7knvUcYwMGNizGbTNW4JUxzpI/gQyB0GKNzS+pxPTr+iLKVrunuvJ/bxYwf8oJWTnWmM4pTS7iv/4CLrmELAUAhVg9+ywwYYKzq1MI8VXdQUscKv0eFxNVK0kt2DGkpsmJCTksqzAuF0XCJRYuXIjhw4eL6ZYtWyI3V1vvZCb8+GH9ftzxw2FUiLuGLagtAUNRkkkG1BS2SgfwxbYokZ2vuLMDGQKhVfn7ft0+nNMtUzQIcJWTLxe7P/VQrRxrTG5HUnZUXcTkun/5ZWf8aEUF0Lo18MknQN++CDVaqztofYi08sOmTzkxloFlFaaK6QknnIAnn3wSgwYNws8//4zXKaYJwLZt29C0adNAjJGRQAF6fO56xEQBFVWhqR0a7JJMMrRU9aawxUYBlVW140a1WK+MyE+r8vfhH9vFi8IOrhqQhT5ZDZFbVOZz241YPWWJNaZkDVWFhwwE1OOelNJRo4B33xX97kPVltdodQflIXLp1kPVcacO9G+bjn5u566VHza9yomxFCyrMFRMyVU/ZswYfP3113jggQdE/Tbi888/x4ABAwIxRsbi0I3iYGEpzm9jx5fbooRFzoq1Q2VCTz1RNdQUNnLln9v6mKyU+QJllTq+dRoaJsXicJG2RKf8kgq89OOmWt9523a9Vk8ruH+1QJ4pKtyu6iKm76ZPB+bMcfa9d3Pd+3MMGVVojVZ3oJAT17FOXbzF41it+LDpU06MZWBZyYHNQb55EygtLRUnZWys/vIvRiksLBT1VAsKCtCgQYOgrZepDSU6UStBX1CLTkpKYIxZnJTbuNawCLI+UXtHX1DbVPfi6GZZpbRmyvvC27bTeAc+s0iUetJCKOKeTYEspC++COzZ43wP0DHkj0Jr5Jgz63hnGMa66NHXDPke8vPz8c477+C+++7DYeosAognxgMHDuhaDpWXUrpJKa9OnToZGRITQkh5scGBBrEO8e5tPsY/ixNBv2updqCW9azIKgrO7jzu7myzMpv1Zsp7w9u2k7WtlOISPKCMnCoT0IMRKURUqUAGRYdsBkXFJfh9cy7m/bQWeYOGOONJJ08G/vgjIMeQmswUN7xrJQdP6K3uYObxHko5lZSUiHfG2rCs5EC3Yrp69Wp06NABzz77LF544QWhpBJffvmlUFT10rVrV+zdu7fm9dtvv+leBhNaSLFpnloPg5rbEW1TL/ti9Xg+K6CnnqjR0lkkI5IV6ZtDuzlj9sy+8fuTKa9n2xVFispgeYLKTb1xeW+MH9Qx6CWE/OW7NXvwzKzFmPLou8gecTrSFi9AWUws1j30LNCvn+nHkC8lkV4Tv1iDJZtzVY8XvdUdzDzeQ+ke3rx5c01SMGNdWFZhqpjecccduPrqq7Fp0ybUq3fsIjR06FD88ssvugdAHaQyMjJqXunp6bqXwYQWutE/OLwrvsqJRpXDJmU8n1Uwu56oEjdKcaIKlQ4bvt4eLd7fXZIjXK8nPbvIpzVMD/5kypthbVOIj4kS8YyyQbIYN30Fkj/4BNNn3I9mR3KxpWFzjBr7Pwwv7yo6HJl9DGmRGcX/jnnnT9XjRWttUuUhNRxaCFMIG8eXygHLKkwV0+XLl4si++40b94c+/apXyzVIAW3WbNmaNu2rUiq2rFjh+q8ZWVlIk7B9UUoT6r07muaMvJcpxX3i55perlPE3qnaRyu03q2w2rbNKhTY7x2SRdkpsQh2uZcNrmKm6XEC8Xo7C5NpdumUMipcVJcTTgEtQ51nVbsVjTduH685u04q3MT4b6ecV1fXDugtVhmwzg7Ymz2GjkdLCwRlsf5a/aYsk0HCotVt0Ntm2pPO0MOPE3TttO6RAvRgpJax5v79L7CMvy59ZDf20RK8O+bDmL2P7tEHGV5RWXAjr3KKjuenLsOL33zAu755UPEOOz4qstpOO+KF/Ff0zZinse/WYeK6vAF9+2g/UPQ9tN+8DRN+5OslrROWh9t03drd2uWE+33W6f/LZRT17HTs+fDwzrVkYer/B4e3rm6Ha5Tlq4yi1KmbbWnlW2y4jWC3o8cOYLKykrNxxhf90JzLad3kpVS9pLlZA/6+RQQxTQ+Pr5GIXQvvN+4cWNdy+rbty/ef/99fPfdd6LsFJWcOvnkk8WB44lJkyaJ4FnlRbVTid27d4t3JRyA2LVrV03MKym7So3VnJwc5OXl1XSuokBcRUFW1rthwwYUFxfXxM5SYhdBRZQrKipqivTSO32maYLmo/kJ+j8th6Dl0vIJWh+tl6Bx0HgIGp+ilNO4afwybdOWLVvQKq4YX17TE2+d10rE8027tDM+uqSdsNrJuE2hkFODsgM4Lj1eWJZGtLYjuTqXkCoeJEQDsTbg8uNsOKF1qq5tImv1cQ2jcWjfDuHKH9LSjpMznBeV9ikOnNjYOT3jpzXYudP/bUosOYimCc6xn9PSjoZOvcLjNlGVAJqmd/pM0wTNR/MT9P+hLe3C2talcazYJrKiNU8CTst0jj0rGTip6bFt6lu9TQcP7PdLTvNXbBEWwg+//wOT5qwUFuZHPvwB363MCcix9/u/O3FcYgnmdzoJ5XFxeG/0LZgw/E5kNkkQ20RblRZVgl9X/udxm7ISK8R+6tfYIfYDQfuF9g9xeqYDPZvGCavl/CUrMGrKQrFNh3fnaJZTvWo5kcW6uKT2NrWKzhcPo12bxOGs5k75kZyGt4kW35/YLL7mfGqbbMfZrWLE8d45zYHjGznH2yPNIV70/ZktY8Q2WfUaQf/977//xP0rHK7l4Xh/UraJcmIoHJGWEy7blCeJnJTtCEhW/nXXXYdDhw7h008/RcOGDYWQyTx+3nnn4ZRTTvGr8xPFq7Zu3Rovvvgirr32Wo8WU3opkIJMyintzNTU1Bptn+rJqU2T1k5JVso0vdNnPdMELdN1mvaB8hSmdZre6bMy7WvsvE2RISdqVnDz9H+EhYnKOdHtmaapID7x2mW9MKR7M93bNGXBRry8aKMItyDrFFUX8jT98XV9MaB9Y7+2iSyK/Z75EYeLKmvG7rodyrRSWoyUndrTNmFli66edlrfgFfGHI/BXTPEGJbl5OOyt/8QVjpv20SW4n5tGxqS0/w1uzFu+j+wwyYse/bqscdWb8drlx8vLNKmHHsVFYjOycHsokTc8elKMfYmRw/jUHKax+2bfElPjOzV0uN20DF0y/S/RQ3+quqxO6rHTtOvXNZbjJfmUZONVjnR/u3bJq3ONpEldtnWQzhYVC4snvQwFRcbU+d8+n7dXtw8faXYJooEstP2CYutc/q1MdkY3DWTr+Vhft3jbQpvOeXn5wudUUtWvm7FlBZ64YUX4q+//hJaNLnhyYXfv39/zJs3D0lJSfCHPn36iOL9ZB31BZeLsg6KOys5OVkcqEzo65i6L+/G6paOpPCRNXN/iVPxCFRZr3mr9+DmGf/ADKgO6pMju2FoD6dCTpB7nSyZvrpVURiDkfhmZflqcZeuyyf8KrFFYVCXXw6sWoW/v16MC77Z7lNO7mW+9BxDFHfrbdv0YMbxYvbxHkz42icPLKvQoUdf011gnxa8YMECLFmyBKtWrcLRo0fRu3dvoUz6Cy2LXMJjx471e1lMcKEnoz179oiKDVxk2n/M7HKjJAkp0CKyG9mxYLezLWmgynqREnnDrny8+YvTxekPVJz/iW//RVSUrUZR8dZrHdWf/Um605oxPnXRZsxavsO4UvXjj8CYMcD+/UBiIrILdor/U9yvJzlp7Vrl7RiimFKzktOU48Wf+rdW7urkC772yQPLSg50W0w//PBDXHLJJSLW1JXy8nLMmjULV1xxheZl3XXXXTj33HOF+56UmkceeQQrV64UsQta4lXZYsowvtFa9JzI9MPCqMa81Xvx4Oy1OFxU7tdy1Aquk7Vt4pdr6pSMSoqPxugTWmJQlwxDSo7WxhF6xloLSpZ5/HHgySedfe+7dQM++wzo1KmmDBY8tIelz9cMzBKKnFHlTeu2JcZGo9i9z7AHi7F75yaZLJ4Mw0heYJ9KRSlBsa6QG5d+0wMF4V566aU47rjjcPHFF6NRo0ZYunSp7iQqJvQoMSRcZNp6uJfaIRdxiyTPzRACUdZraI9MLH9gEKZf2xepCcY7w3kruF7goY5pUVmVX+Ww/LEc+ywOT92bzjwTeOIJp1J6/fXAsmVCKSVImXttTC/0bBrrUU7v+VnmS+u2/d8pzioA7riWgSOl1J+i/LLD1z55YFnJQZQRwXqKISQlk7RhPZCFlSyllNBE/6fP7dq10zskxiIukoMHD9YEUzP+QwoNWTvJukXvRovguyshpHcel0LleGrPR92RAmXdImWX3PBUB9Mf3Auuay3kT/+hGNspCzdq2o80j93h8FuRVi0O/9xzANV9rl8fmDEDeOstIKG6jEE1VGLt2WFZuP3M9kiMc/Zgdx+5UeVPS73RtMRYzFq+0+PvZCklazBZbWXv3OQvfO2TB5aVHGiOMe3Vq1dN29AzzzxTFMZXoIwsKpUxZMiQQI2TsTgUV0rxpYw5mJkMoighSpIQZXX/uKe2SkK/33JGYOVnZpF0ZVl6C/lPXrgJM5ftxKMj1Pejp31vxlhr8dRTzpjSxx4DOnZUPae2lSdj8o9Ol74nSJ4kSRovKYnu1m61uE9v8bnK5zyVblrEQ8Oc+89XrKqrcu4tUUtm+NonDyyrMFNMqRwUQTGggwcPRn160q8mLi4OWVlZuOCCCwIzSkaKJ1Eq25WWllZTKoIxhhJfqGYd8xq36AF3JYRcw1TTMufIsWxvLS58Rcmh4uoUL9qwfjwyGmhPUjErqcp1WUaU3X2F6vtRbd/7Q3r9ePz962o0eO9N5N7/KE5sl45oql4yc6bX/1EB/XcXrhFllKhclV7lz9fDjdIVzH0esoaWVFSptnmlkTzx7XoM7pYRFp2b/IWvffLAsgozxZQSkwhSQCn5ybUdqSdmzpyJESNG+F0+ipErdofqyTLG8dWv3Jt1zBuuSsiBwhK0THJg+1Eb0hLjMDK7GVIS4sS61ZbpzYqo1ZLrbrlVS6ahY2l/YZnXeZSMdKPKLi37ga/W4oxOTREXE6UrLEArNNbUxFh8+fgbePCz55BWegSf5pTijrMv07S/lm87jESUOUOnHPqUP60PN56y4e12B8a8+6cmRVjr/jfzocRq8LVPHlhWcqDbtHXllVf6VEoJalu6n1xVTMS4SCg+mEtF+YfWEkUe4xZ9QEoIZVB/fF1/tG/XFimJcThUVO4zkUZRctTGtVdjnKNiuVXTsZTyTo+O6Co+27wk3CgKtK9YSW/QtvebtLBm3HrDArxB44mpqsDNc1/H/z56SCilqzI64LvjBmiOC6XC9D/vo1JRNt1lm/TEfdK+JEsr1SKl99yiY01MvEGKrJZY1UwNpa1khq998sCykoOA+Vw5OzvyXCTU5oyTn/wj0K5RUkLyi8vw29qtyHcr3+RJYdJjRVRLcnFN4vpvn+d2w56su2QZ9ZRw42pp9KXsaqmPqmyzme7mbHs+vph1H65f/rX4/N7xI3DRmOewMzVDc1IQdUvqmGKv6XHvDVflz9+HGz1WUGX/a32QCHUiYCDga588sKzkQHeBfYZRQ+mhyxgn0K5RuqE/OXc9WscDm92yXjyFCmi1IuqJc1TDdd2eXMzHt07D39vzhHLimshD85HLXC0mUgu03hcu6ql5fk8F/YlrB2bhwoPr0GHCOMQUFqAgPgl3D70dP3TsrzspqE9WGtqlxmJrYaVoheptLK7Kn78PN1pDLhRF2Fusqhl1TGXoCsXXPnlgWVkfVkwZU6CEJ4o/ZvxDr1KgF1KEdheUYbeKs8RdYdJrRdQS56iG+7oVF7OyrFOfX+xROaH4WH+UUmW9NKFl3z80rLPoQqWqKK0oQ1VJCf7JPA63jrwHu1Kaqq7b2/6NjYnGyJN74juVzlaoLuk06fzutRQ0fx9ufGXse7KC0sNBcnws/tiaK+YiufVr65ShlRIBAwFf++SBZSUHrJgyprpImjRpwln5fmBEKVDDU6kgmibXcOc0B/7Ns6lmeysKk17LbO6Rsho3q9FEIndlzZdycvVAcx6IKLZSy74nRWhwt8za+7ZpPUTXr0707N0b/370JS7+qwIV0d7roG7af0S4pj1VNqBzKjvdJgrtPz63tiKckhCDszo3xcD26XUS17Q83DRtEI/KKjte+H6DR0VSsYI+Ome9qGLgzQrqyaL5xYpdXi2aWtqXBioR0Gz42icPLCs5YMWUMQ1qS8v4jxmuUTX35+g+rcQdPZHqtauZ4VwUUkXJ0ZoURJbEd37bJtZjNJHIVRnWopzMXrnH0Ho8rZcUNC373tWaK9qIjhsHfPedUEqJzhcNRfrWRarKocLUxVvES801TefU4K4tcHbXY4pwTm4xZi7bgc9X7BYvwvX/WmqUFpZWYux7y1zGsVmEQzzjZn11P0DccweMWDS1uub1xMqGukYqX/vkgWVlfWwOnVlKlJV/7bXX4pRTTvE6X7du3TB//ny0bNkSVui9yjBmosXiE6p1qCkLyj9TEmNFC09v7mrK3lfWpdcl70Xf9fk/93WTNZEqBviiYVIs8ooqTFuvpn1fWgrccQfw+uvOz2PHAh9+WPOzWr97tTEQvlzTvmTr+n9PCqCWWNw3Lncq177WQ5ZKquSgpjzqOZY8jZ9iicfPWglfTBmdLSoKMAxjXfToa7otprTQQYMGoXXr1rj66quFotq8ed2Lwtq1a/UumpHcRbJ3715kZmaGvStfzeJD3XDSkuJMU1ZrWeU0osXCGA0Heja0YzW58l1KEamFCqhZcNUwqhx6WrfWGNdR2c1F2Su9SrHaen3u+40bgYsvBlatcn6+7z7g8cdrzaJnv7m6pqm2KiV5HSgsRgNHMU7q0V7Em+p1bbsnkKUnxeOOT30remIdDofP9STXi9Vl0dQ7fjMTAQP5IBlJ1z7ZYVnJgW7F9OuvvxY90T/66CN88MEHovA+KapkRR05ciRiY433lmYYq6Nm8aEb8M0zareODEXmsBb3Z15JBTokky/fXuu3FI+uXCeuSg51flqxIw8fLd1h2rjVwhS0KieDumSgT5uGuluJGsocp972N9wAHD0KNG4MfPQRMHiwR2WI4j/vGXyc6JR1uLgcry7e4lORo9qqVMYqyuZAjzQHHvx+Jx46t6tYll7XtquCTdbn/Ud81yjVokTTPLQ8M9vHuo/frERAGbL6GYbxM8a0cePGuOOOO8RrxYoVmDZtGsaOHSvalF5++eW4+eabuW96hEGWAk+W83BCb2egUGQOa7EwkpV06X7FRnUMcu97w1XJiYqyaVZM1RKJbh/UEVnpiV4tWHqUE6V0FCk2b/+6BYs2HFQd0+nHNcb/ndJOv+Vs3jxgzBjn9KmnOpXUZs3qzObRjZ6g7aGdlFJFTisP22BDmTiOzujUWNP/F6zf59Haa35bUEdA2scq85mRCBiMrP5IuPaFCywrOfDL70DuiwULFogXdVQYOnQo1qxZgy5dumDy5MnmjZKRwkWyY8eOsC6wr7czkNZC6maixcJIlrg+6Xbx7o7WsWq1ZE4Y1EG1UP74QR1qug2pKRd6C7jTOymb/+71Xsj/540HkVdUpt+dO2QIMHQo8PDDwMKFqkqpp05Z+SX6SlopcrLZnG71Rf+pK9quUEiDp65SZrcF7d82XVfXJyOueT3NFtzR2wHLKJFw7QsXWFZhajGtqKjAnDlzhJX0hx9+QI8ePXD77bfjsssuqwlo/eqrr3DNNddgwoQJgRgzY1Hi4uIQzhixOAUic9hbvJwvC6MyqOKqugYvPWPVasm85YwO4uVPfJ/WKgXKflmy+aDPBwjSRW6e8Q9egw1De/iwmH3+uVMZTUwkkwswZw71NjTFqu4VNzlpTVNVK6NE+z2jQTz2FXp355NcKcZ0f2GZV9n2a9dI1aJZPXwRd62njJUn17ynZgtajqFgZvWH+7UvnGBZhaFiSgHe9NRx6aWXYtmyZcjOzq4zz+mnn47U1FSzxshI4iLJyMiAFTEr8cEfi5NZblRf8XLe3J8KVLt0XZ7Nr7HSekb0zMSbv2xTncfVkunvjd+XcqKnw5Qrt8xcganohaE96lo+UVTkLAP1wQfANdcA777r/F5FKTViVfeGLznpVbhoXz06oiturK4UoIZiodbiQveV4PXEt+uFLq+ljJXrcs1IBAx0e18Zrn1MbVhWYerKJxf9nj178Oqrr3pUSglSSrdtU79hMeEHPazk5ORYzp1FCguVtKGSQ1R6ht7psydXpy8Ui4+RXF4z3KhqLmL6TMrGvNV7vbo/qaQSEW1zYEATu3g3OlYay1telNL/O6WN6XG1inLi7v5X2y9aUCyndY4HqipywglOpZQ0qzZtNJkszYzj9CUnI2MhmVA5KCob5amLFP1G8+hxodM0dcPyhBLLqexff1zzVmvva/VrH1MXllWYWkwpyYlhPJFIrk4LYXbigxZrpNktRPW4iF2tf2q95qmt54GCEuSW1dWztI5Vy1jmrNqLe4Z0DnhHHrNc5zWubxruu+/CceutsJWWoqRxU2x96S10Gn0uom2+t8XMOE6Sj6ucaFfqCYdUG4tybCzdcshrC1GtLnSSATVW8LgN1cfVo3PWifJSuUfLxHJ+vvt0Z0msANYBDnR7Xytf+xh1WFbWhzs/Maa5SKgdqVUIVDtDPbUp9bYQ9YYWF7Fi/Xuj2sXqyf2pKNabCmyG251qGYu/sXtawy/Mcp3TMv5asx19n3tAZNrTmn5qczzuGH4HDq+ORub2RZrKC2mK8dXhyt9YQFn5Tvmcdlxjr5UGXHFNOvIE7cuBHdLFyxtaXOhaYjkprnXMO3/WGh/tz0AWxjezva9M1z5GHZaVHLBiyphCVVWVcGdlZWWJCg2hJpCJD54sSZThTVYjT8k5NC/VfPTHOqTHRexN4aaxvzYmG/N+X415OVWoqi6wT2OlRBWqlUkdd7yN05/YPW8Kp/IblTv6euUeUfuzdgODzkhLiq/1XzNd54f3HkT5/O8QZYvC86degbdOPB8OmzPaaV91uMQ1A7PEvlXbN0as6go0P7nY42OihCJHLvyTmjqwpTQBDw531jHVqpiaoXBpxYgMvHktfD2U6IkZN6O9r2zXPkYdlpUcsGLKmILNZhOxxfRuBQKd+ODJkjS4W2adGyYpWe5tG40U99bjIvalcA/umokTMuJxaQFwsNq16lSstRUh1zqWnNwizYlbhDcrtLOBwT+1vqP/ju5jXsvjXYkNceeoidhdZsOKFrVjJh0upZjo5U2GasqQN1e8ctZMOr/7sYeewhKkRpdjQJfWNZ2fMhrUw75C78dsakJMULsfGQlfUPNa+EruM1Is32hWv6zXPkYdlpUc2BxUFyQCeq8ykYXWHuszr+9nWhknd/T0BfcFKRXe+pL70z9c7ziVsWhxVyvJNN7WYfQCpPw3MS4axeVUV0kfyWVFmPTdVHzT+WR833EAxp3ezmtnJvd1+5KhqwWYlFlvaHlYoX048cs1PnvdK+NzHVsgux/pOR68nYO+jkNKqKOEOzPOJ4ZhrKuvcWNfxjQXyaZNm8S7FfCVQe9e/NtszC7u7Vpo3l8rlqusjIxT61gUi1h5pd3nOoyg/NeIUtp97ybMfX88hm/4FU99/yrqVZTCGc2pb93eZKgU+5+/dp/XZVG1BEoGquPSdpGTorRpUUqV8SljU6ta4J4xbxRvTRC0QFZMLcfh279u8/p7MBtZWPnax6jDspIDVkwZcw6kqCjRqpberYDejkGhjHHViogPvay3cAnDD4XbVVZGx0ljoZai3lD++9EfOabV9vQbhwNX/TUHX3x8N1rn78OuBk1w3QUPIy09VbflXIsMtSRnUQtSylBXk5MDNkOVB2i9S7ceCkr3I7UyUFoforQch96GaOR8CtdrH6MOy0oOOMaUMTV2x0oEI/FBjUAlCFGXIioJ5R5vqUfhdpWVP+OkPvda2H64GMFELTygQelRPDd/CoZs/EN8/q5jf9xzzngcqVcfr5/bRZRLMpJRv6+gRPU3f/avIicKSzGq2Pv6r5ndj9xjOdOT4nHnZ6uwv9B3uaa5q/fADMxMhpP52sd4hmUlB6yYMqa6SDp06GCpzNRAJz6YXdxbSywg1SmlklBGFW5XWflThFzrf1s3DG6NR4dKPOm3749Hy4L9KIuOwdOnX4sPeg9Ho/rxeH1Ut5p9ZiSjnqoxJMRFe9zv/uxfktN/Gzfi9+1mBDwER6FzTwp8dIS2ck1m1X81s46s7Nc+pi4sKzlgxZQxzUXSrFkzS7qzjLQzDEVxb28NAdxLFfmjcLvKKs+lJJMaaqEBWrdxbP8svPPbNlNqexrlSHwSfmzXB6dv/QvjRk7E2oz2SK4XjQeGdhZlmMhKraXFpidoH6qVPvKnyPsP6/fjtQU7sfYAyUj/gxStt3/bdEzVkNAVKIVOq9dCy36y+ahqYFax/HC69jG1YVnJAWflM0yAUBRNqFiLXBUZPVn3ZmdT+1rna5cd6yXvGmaQXj8ey7YdwpQfN9f5j/s2qu2LQJJaUojYqiocrJ8mPsdVViC+qlwoqb72qbKdC9fvw7s+MuqV7W3aIB7/uzi7pruR8qCg5TioWxe3HONm1H1I0YrNZbneMuYVhe63e88IqBdBS6kqX/tJycpX+52z8hkmPLLyWTFlTHORbNiwAZ06dWJ3lgtay/RoLW8lTlqDN+Ia5aCwGInF+5GQ3gqXT1uuq5yPVkuip23U839XGiXF4dERXfH0vNoNDLxx/K71eHnO89iZ2hRjRj+Fqqhow/uUxn3/V2tEkpIetNbfJDzVPI2CA+e0tGP+zihUVjdC0LtevQ9IoSYQdUwDDV/75IFlFTpYMWWCDpXDLS4uFn2IudC0fmsRdVsaP2ul5v2t19LlekOnZqQN4wF7VCzySio11USlbkSewgw8MWFQR9xyRnuP41L2BSUMUWyma3cnX7VQ563egwdnr/WqINocdtz45xe485ePEOOwY2taM1w2+mnsa+C99aavffrVP7sx4RPt8lGW56r4eToOqMap2n5V5HS4jBRK7YopVW6gJDlXrKjQqWFm56dgwNc+eWBZyaGYcowpYwqkjCYl1XWRWp1g3OS0xLjqjfHTk03tHrtKSs6hMpryrZQSlF191+erNCmltOdmLd8hFFNv+4IsxFqU0gmDOtRYysbN+MfrGBoWF+DFuS/itG1/i8/zepyOu8+4CUXxibr2KZVYGti+tiJLHZfM6G6kyIqOu6VbDmHiF2tUt+mYnLRD66MOXoO71W5J6ykm+fjWaaJMla8WtMHG1/ni/jvtS39b/kbitS8SYVnJASumjGkukvXr16NLly7SuPKtZEXylfxhNJvaU+HyGJsDI1rbMWe7dxexYkGkCa0udK0Ks9Ys8MKSCq/F1xVO3LkWL895DhlHD6MkJh6PDLoB/Z+8C/+XV4LJCzdBD+Omr8AzF3SvdQyQfDIaxIse9nrwtD+0hjRolZOv9XlS6GgMpz6/2BLHvuznsIzXvkiFZSUHnEbImHMgRUWhffv20mSmBrobTrC65/iytHoqXF7lABbujhLvariW86FkHr34Ujy1Wogp8Wjqok1elThy3z+24A2hlG5q1BIjr/gfPu15Npo0SMCs5Tt1jz2/pKLOMUDyufTEVjCKsj/UjjtPaJGTr/XJcOwbxSrbIdu1L5JhWckBn0mMaS6ShIQEKeJLzW4XahZ6uudobanqSUEhF3FhBUUwHpNVSkJsrXloDEpspJFSQr7+46tlrCvTfGTFO2xRuO3cuzGj5xCMuGIyNjXOEsvWY+n1xKNz1mHJ5lzh6iZXcatGxt21tD+0WH59yUnP+mQ69vVipe2Q6doX6bCs5IAVU8Y0F8nKlSul6BcdiHahZkGKICXfUCb8tQOzPM6jp6WqJwWFXMQXt60S7wrui6EkASNKpFaFWbEQOzRaMN0ZkLMSY/6ZV/N5U+PWuH/ILSiNq+eXpVeBxkVu+zHv/CmS0qhiwhNz1+lejgiHaBAPu8OByQs26lKUPclJCw2TYlX3v5WPfT1YaTtkuvZFOiwrOWDFlDHnQIqKEjFWMriz/GkTGQyUWMCHzu0qMtKF9U/FmukLT0plpQP4RsQtHvsur7i28re/sKzGHao1zECPwkzQ+KlpgBZSE2LF8qPsVZjw63R8/MlDwn3fc89/plp6vaG3XJTS7ai00i4U3KmL69Z79YYnOWlhVHZz1f1v9WNfK1baDpmufZEOy0oOOPmJMQ1ZAv/9aRMpW0tVRal0bwtZYVfvKe8po1xLRyStLVFdoWW/p6GA/dUD22DGV39gyjfPo9/OteK7WT3Oxn+NnYqta1csZd8oSrk/7nx/SIqPwdGySuS7Kf16IDnpZVCXjLA49r1hte2Q5drHsKxkgBVTxhTsdjvWrFmD7t27W/4i7U+bSBlbqrorlTE24Pw2dvx0oB4OHK3QnOHtriRT5yeaKbeodqejQMjilootuHHWHYg/fAhH4xJw/+BxmNPlNK8Z2IpSTu1cQ4G/FYsUOX25TZvVVMtxK9uxL8N2yHTti3RYVnLAnZ8YU6CYRDrpyVUiQxKATN1wzOJY56cSNK4fj/2FpZjw2WpNBfZHZjcP2HjU2n4qslhQuAjtX39RTDt69sTKF97EjvQWmpVhkvXEL9f4ZbkMNrRF8bE2VFbaq5VS79uo57gNl2PfKtsh27UvkmFZyVFgn4NiGNOQKfhfLQNeT/ymbCiW1xHZzdGrZQNNBe4D5Q4lpYJ6uFNSkaKUuuuXiizad2rt/OLmm2H//Q+UtvFcvF8NkuXfD54lOlIlxZlzyaMEo0CrIJMvzsb1J7Wus1/oY1JctOHjNlyOfStth0zXvkiHZWV92GLKmHayW9GdJVt7w2Awf/Vu/LliJT7+z6GpwD5VCSDM2k/UWvTmGf94XJ+jOl50cFYyTuja0rkOqhDw22/4Lq29X8XUSRm+94s1KPCQ5a9XKX1yZDfRiYoIREGi1MRYTDqvKzLtB3Fc566YsWwnth8uRuuGiRjbP0vsF3/lES7Hfqi3w6rXPqYuLCs5LKasmDJhixW6wlgN9/akari6Qwmz9uO81Xtxy8wVUCsvGVtViUf/nI7L9q2E7a+/gOoLmNq4tbpttW63FqaO7oXh2c08Hl+ktOrN3veEbG51hmEYb7BiyoQkdqe0tBT16tWzRJyVv4pMOFqMaL6BzyzC/sISJMcCRyqcRdw9QYrn6D6tUFBS7jFr3sh+JJl4S0RqXnAAU2c/i157q0tAffQRcPnlYtzk9lfLrne17Kptt7f/64VCAsYP6uBx3++juN1PVpqynig40K5RPObfcSZiojnqyqpY7drHqMOyCh0cY8oEHQr+37x5s3gPNVbqCmMUGht1G1K6DqmN1TVWUykET589tWOk1p6kOEXbgEHN7eLdExf2bi4u4JMXblQt5aR3PyoyUePsjX9g3rRbhVJaEJ+EP198RyilZhRT9/V/vUz7fVvNNitxu5QcRu8ZDcyLxyUdu3tyCZZtPYRwR+vxbkWsdO1jvMOykgMuF8WYAsVWUYyVFdCjyPhThilQkFJJ7TCp85ACdQ96dETXWtZJNauw0ivc1ZpJ805euElMU1zplznqsXCfr9itaZx69qOaTOIqKzDxp2m45u854vM/mcfh1pH34PkRI00rpm52kXXK7lfbZl9ljPSgyOlUjUlqVoy/jISQGytd+xjvsKzkgP1DjCmQha2oqKhWK8tQWVGC2RXGbEuP4u52VUoJ+kzfK5ZQPVZhd2sldV9vFE9OfHNkpWU/qs1z78/v1yilb554Pi4a8yx2pTRFXlGZacXUtf7/tjO0Z/urbY+3Lll61UFFTrmFpYaOLz3W9FChPFy5P7QoD1dWGmswr31MYGBZyQFbTBnTXCQ5OTno1KmTKZmp/lhRgtUVxmxLDykdVG/TG/S7UuRej3vbdV5y4Q9oasf8nfrbXWrdj+6WOlGM3wOv9bsIA7avwnOnXonF7frUfP/Et/9icLdMoej5W0xdixUzLTEW4wd1xNbcIsxdvdevY0etS5bSGYvw1kHLVU4DM+yYNP/fmuoJWo8vPdb0UOHr4cq185jVrLyBvPYxgYNlJQesmDKmQBfkrl27muJqXLB+n+GbKi3PbneI3ur5KmWBzOgKo+XGr7eV6NIth3wWgaffaT7qtmTUskdKzjc7zLmB0n62O5xWWWXbPCnsFIpAJZBKCosweOPvomsTcSgpFUOvfhkOW23njWuIgFpbVULZm/S72r7V0gEqr7gC36/diymje+HXTQdRUFLp17Hjq5Ws8tv36/bi/d+3e1wGyWnO9mhD54AMCp/sITf+XvuY4MOykgNWTBnTXCRHjhxBcnKy5sxUNQWmtNJu6KbqaXnuaFFkfKHlxn/fl2vqxIn6snb9sTVX0/ppvoHtG2ua15Nlj1zETROA/SW1s/Ljom0or9JnQiXlf8w7f9ZsG+FJYd9fWIbWh3dj+uxn0fXAVqpTh9ldTxe/uSulnpRqX1ZIOh7I1a32EKAlL+WWmf9g6qU2PHtBD68VHbQeO2qtZF07Xs1Ztcfjf53lW+vKydM54P5wRw9mMih8wQy5sdq1jwkNLCs5YMWUMc1FsmfPHnTo0EGTO0vV4ugWW6n1pqq1TqWiyPjjxtRi6SELnDu+rV1ab2r63NukuDRMiqvp9ERKT3YjOxbsjoKrHqpXKXVlb/W2pSTGehzPuet/xtPfT0X98hLkJaYgL8F7gWUiPSlekxWSLOzu5aBcHwJo+x+cvdbn+ih88+YZK/DG5b29KsGeZKcoh/sKSsR+blg/XmTouyvIWh6elLFEq8jJ9Rygcl7uyyMrtgwKX7BCbqx27WNCB8tKDlgxZUyBLsgUY+WvxVErrjdVLcujm/WrY3qjX1una9gfjN7QfVl8SdGeunizz+XocW+T0kbrc20/WuWw4btd5t9AaQzuoQjxFWV45Me3cNmq78XnpS27YdPkN/HL8jzfC7T5tkJqCalISTimlGuB9hfVRNUaiuFN2XRVkPUW+fclpx/W7cU0D2EAaiEsVlP4/I0dlvHax4QWlpUccFY+Y5qLJD8/X1Nmqhl1JV1vqlqWRzfrKJvNlJg6f27o3mpuktJMcZjeoCQdmk9Lr3DCU8YzufJbJJmXla9Gu0M7MfvDO4RSaocNUwZcijGjn8KmGN/WUiL3qHfrudbKBFS7VQ+KfNxrlKoppZ72seuy6HfqeKX3YcyXnN7/w3Nsqu/lOhXmUCt8WioY+BNyY8VrHxNaWFZywBZTxjQXycGDB0WclS93lj8uRE9WlGDHqplRq9LTWOgG/Mz53b0m6Uw6v3utG7W7e1u4v220/DI8MXedx/HR349LcWBvsa2Wi9hsWubvR6fc7TiYlIrxw+/C71nZ4nvq927GA4DW5JnDPhRco8eKHsv/Q7PX4pDOeqS+5GRED7KawucrdjjUlQPMvvYxoYVlJQesmDKmQBdkirEKpMVR7aYa7Fg1b250raiNhW7EFOP46Jzalj5viVOKZY+sd3d9vsqn9ZhcxD/uCZBSQtpSdQLIT+1OwN3n3Iaf2vbBwfppNQ8VY/tn4Z3ftvntwtX6oEHxtZRU5yt+We+xotXyT9uoVyk1S07u1SmsqPD5qmAQTtc+JrSwrOSAFVPGtCfRvLw8pKWlISoqyu/YMkqiqRcTXUs5U7uphiJWTc3SQ+MoqahCQXGF4bEYuVHriV+kHuxZyUDOEQgXuzeU8ZILzJdi1+Hgdjz9/auYcO6dokg+8VmPs2t+p7GR/OJiovwq/6QkGm3af1SzknlS+8b4fMUuTfNrdXMHOnnIk5wolMNTYp0aFFdNISxWV/jUKhiE27WPCS0sKzlgxZQxNXYnNTXV57xaEnfIpa1VOfO3zqVRvGWJax2LWstIPTdqvclkZNBsmeTA9qNUk8jLfC7jJVQVX4cDF69egMcWvomEyjI89OPbuOH8B+vMNmFQh5qHCqMuXK1Z7a4POHd+tkpXnKnWY0WvBb5hUizyijw/sGiV02V9W+HVxVs0K9hmJPsx5l37mNDCspIDVkwZ01wk7dq10zy/VsVEq3IWqlg1Twqk1rF4UrLI7fzkyG4Y2kP7eKngvp5kMnIR/7zPt7LiPl5P25RUVownf3gNo9b/JD7/3KY37htyq8flZaUn+WUZ1mMVttWqEqDdwqgHxVLva98rVueHhnXGuBn/aA7/8CQnPSqmVeJIwx291z4mdLCs5MDmkDiVsLCwECkpKSgoKECDBtoyfZnAuUhyc3ORnp6uy52lZjE0itnL82c93ubxpWTdcEob3DfUaan0Bi1n4hdrNJcIUlzE7VMc2FxgU3XlJ8VH440xx2NA+/Ra2+VarxOrVmHQo7checdWVNqi8L9TxuKNvheoFswnxSw9Od6QXGi97rVKvdE0OQ5Hy6tQVFYFvZCySeWitIxv0rz1ePOXbV7noaUotWs9PYw0SorDiW3SMH/tfp9ymn5tXxFH7C3xjoY99dJeGNqjmabtZUJz7WOCD8tKDn2NLaaMaRQXF4c8tiwYsWqelAtPyUneOv/4cr2TstOzRapX5UJvXUxXF3F6PLDFi+mOFLqx7y2rs1012/Trr8BNFwBlZdiTnI5bR9yDv1uoK9K0qie+/bfms9ae73oTjW45vR1io6PxwR85hpRS6OiKRHKcs2qv13mcSuKxhgpqVmKCFG9XhdNVTjaH0+rar10jn4l3tD49FncmNNc+JjSwrKwPP94x5hxIUVHIysoKe4uBWt1KpaA7/W6WkvXA12uxZHMuZq/cLdptkiJkRpOCs7pm4PcD1E3It0Vwr9p29ekDR+fO2NL3NNHr3ptSSqgVwHddLm0Tbaen7dWaaFRcXoWXFm7UVVDfE1rWp0WOtAlpSXG1vvNUH9VTTU+SD8nJXi0nxTWvVr+WlH2q6MBKaXCJlGtfOMCykgO2mDKmuUgOHDiAJk2ahO0F2ldBd29dnVzRqmRR9jX1ofdkZfSnSQG5iLum2fFvnror3x2xXTiM6M6dKFAL8zYexvNDHsA2e72a8lB6cN9flDDmXiKLWno+OsK5vVoTjb5euceUtgG5R8qEguwt7MDs+rnusckkp85pDuTZE/DwuV1rWZdlL7EUTkTCtS9cYFnJASumjGmUl/tnpbI6Wgu6+3IDG62n6tpms6zSDqN8t24/Tm4WDeTbNWXhUBj62Ys+g+2RacD992HSiRdXx1Um6MvGUdlfUxdtxuSFG+v8TkoqNRsgKyApYd5qkdIw0pJi/baUimXZtIUdBKJ+bi2Fs7AYyVVHcHL2cYiNiQ6rEkvhRrhf+8IJlpX14cc7xpwDKSoKrVq1CmuLgVkWMrJsUfa9XlzbbKbXj9f9/5rlOGxYnRdT4yL2RoPSo3j960miFFRURTn2/bYcb/2srVyRVl77abPX3+/7cg2+X7sXpSrKuLIVvVqaU67HPR1ULUxDycq3mdz6s8bV36slzjihi0ellLEOkXDtCxdYVnLAZxJjmotk9+7d4j1cMctCRooHlYTyx8pIE96UIm/YbA60rleGi3o39zpfzz3/4dv3x+Ocjb+jPCoGWx98CkNPGa+adW8UX9ZfCmm4ecY/1aWf6kK1Sv/vlDb4ccNBBAJH9YseCCicQ4mFnbt6D0b3aVkTlgCT6+dGwjkVDrCc5IFlJQfsymcYjfjbYcq9fNT1J2fh7V9zDO3/3KIyv9uiDmjfCL9uzq3rHnc4cO3yrzHx5/cRa6/C9tQMPHDJg7jh8otxeNoyWI2E2GjMWr7Tr2U0qBeDwtJKr/M4ww42iXXVquUaH42YKBsKSioN18/1VFqMo0UZholEuI4pwxjIyodKVyelXqW7spGTW4SZy3bUUgJJyR3eIxNfrNiFw0X6isDPvL6fcPfSeNyThqjDkJbl0TIKSsrrlJxqmb8PC969GfUqyzH3uJNw3zm34kh8Up2+67JC+51qqqYlxdcogrT/Jnyy0q/lkizP6tJUdyKS1vJjDMMwssJ1TJmQuEh27dqFFi1ahHWslT9dndwhy+s7v27Dq5f1FiWFSElKT4oXLTT3F3ovoJ5XK8mn9pyxUTakJsaioNhz+8tomwNntIzBCa1TRfyi+/bsTM3Ag2c7FdOPs8+pyboPB6WUYnsfGtalTkklcs37y9zVezG0W6auhCS1WrR0bIyb/jdeHtEa5/TtGtbnlOxEyrUvHGBZyQFbTBlTiLQyHP50dfLk/nftNKT1/2ShI2XI0zJrirR7sOxSGaKXR7XFOX06OWVlt8P+/PNY17YnNrbthkfmrMVRg8XpPY3BSrhatin7fenWQ0IptTvs+GjpDhzx4c73BXVxWvbAIE3WUl/drKLhwIDmsXjvpkGcAGVhIu3aJzMsKzkspqyYMoyJ6G2d6e6aV5i3eg9umfmPKNBulPrx0agfH1vLzV/HRXzwIHDllcD8+UCrVnjtla/w3O++mwT4gtbTsWl9/LwxF1aDVEayKNsdjlpxoWbhLks1SCG+9O2lpi2PYRgmHBRTyzzePfPMM7DZbLj99ttDPRTG4JNoTk5OxGcQGy18715iiuIf/VFKCbJ6llVWYcKgDpgyOlsoOD/ffToaxMdg9q8rsXbGHDiys51Kab16WHvNrXhuyR7D6xvePbNmPWQBPqVDY1gRR3WmfyCUUjPLilHIxYAmdlHPlLEufO2TB5aVHFhCMV2+fDnefPNN9OjRI9RDYfwgMTEx4vefVqXEV4kpo8txhxSwlxZuQnxMlEh0OvX5xbji7d+R9/gL6Hz5KNj27MHRNu1RtfRPXB/Xy1AXJ4L+9feOPAzv0aymzWbTZOO1VmXGrLJiVE81twxonJxg0siYQMHXPnlgWVmfkCumR48exZgxY/D2228jLS3N67xlZWXCHOz6IpQ6f/Tua7qqqqrWNHW10TtNL/dpQu80jcN1Ws92WG2b6EUxVsoyw2GbjMiJlI0om0PEcSpWL7VpG+gFtEiNR58s57GvjJeWE1M9D0HTSkXNutOkGKpP07omfrkGN3/8N47mHsa0Tx/FVQunI9phx+fdzkTf8yZhyr64mjaYNH5CbIfrtJdtok8HCkvw51ZnElF5RSWenLe+Zuyu2+E6XS/GuWwj2+Q+HeVl2sg2ucrJfVptmxonxQhZajn2aD6SvU1lm2ipR5EgktQi9XySYZsorjQ9Pb1m2eGwTeEoJ4VGjRoJmYXLNtklk5MUium4ceMwbNgwDBo0yOe8kyZNEjEKyqtly5bieypCTezdu1e8CMqSpIB0YseOHcjNdca6kbs5Ly9PTG/dulXEOxCbNm3CkSNHxPSGDRtQXOx0n61fvx6lpU7r1Zo1a1BRUSGER9P0Tp9pmqD5aH6C/k/LIWi5tHyC1kfrJWgcNB6CxkfjJGjcNH6Ztmnz5s3YsmULDh06FDbbZEROlAR1ZssYdElznrB9GzvQPsU5fVJTB7KSncfyaZkOtEhyTk8ckILioqO1tomWc2mHKDSIdc5zfhs7EqJJCXJO0zt9pmkiORYY0do53TAeOKelc7ppAjCouV0Up2+WBJzYKh6lcfEoi4vH25eNx13DJqB543j8tc653dSb/fhGzvH2SHOIF0HfddawTb+v3y6mf16+GqhwlsaisdCYCBpjsss22RwOEQKgd5vOau6cbp7kXC9B46DxEDQ+GqcZ20TrIGidtG5v2zSkeYXmY6+stAQT+ztjrTLctun0TKdyel+/JGzP2Rax55MM20Q33LVr19ZsXzhsUzjKiaD7019//SVkFi7blCeJnJTt0EJIk59mzZqFp556Srjy69Wrh9NOOw3Z2dl46aWXVC2m9FIgiykpp7QzU1NTa7R95WnI0zQdkBTLqkzTO33WM03QMl2no6OjxVOBnml6p8/KtK+xW3mbKisrhTzqJzfA39vzcbCoHI3rOy2BVJJIxm0yKqf5a3bjlun/wA6bsMrRGUbT0W7TTRvUw8PndsVZnZt43I75q3dj3AzncsgqV1l9ppICV3vaVm1l8zwd46hCdGUlymLjRamp5JKj6OU4jN8SW6LCESWsg+TBr3LYnJZCG0S7UsWyWDOtsh2u0xQX+/rlx6OsohK3f7JKWP1o7FXi73WnaTvG9muNrfuP4vdth4TdUcs2RVWP13XafTvM3CaH27S3bfrwWmeyktZjb8G/B/DYN+twoLC0Zpuap9bDA8O6oE9mnHgIj42NrTnGaD1kmT54pARNGiQKiyqFTvg6n2jsf23PFzGrFB7Qt20jwGG3/Plk9WsELe/w4cN15CTzNoWjnGia7lOkL5DVVEH2bbJLIqf8/Hw0bNjQ2ln5O3fuxAknnIAFCxbUxJb6Ukz9yfJiAk84FAr3VgZKz38WrN/ncV+M7tMKWemJmpftqYC+HpocOYQpc1/AgaSGGH/uXYZjSAn6q5arBWW8vzK6F8a+Z6xLVEJsFPpkNcTIns2QkZIg6roa3f46Y0ugZne2gNZkpQSwkdne2716OoaU0lWkevZvm45+1bG6Zpxj4XBuMgwjL1KUi/r6668xatQooU0ruGrsZBl1/c0TrJhaB7ISfrF4BRbvtQmrj7eOSFbFyM3b23+oTqZeJVdNaXnlx0146UenG0crp2z9Gy9++yLSiwtwNC4BQ696GTvSMoXlj1zUP7nJykyS4qJRVG68FqrN5ZihfXxjdbctMzizU2P8uOEgAoWR8k6ejiOKP504MA3nDMgW10K1+ra+zjGj/2O0Qfctcn22bdvW5z2LCS0sq9AhhWJKMQvbtzvj0RSuvvpqdOrUCffeey+6devmcxmsmFoDUpxOfvZHRFWWYneR09Xoq4i81TBy8w7EDd+bxXbSvPV48xdnvKEaooC+vQp3/Poxxi39THy3vkkbTLzkQaxObFo9jzNu0pOsrERm9TFDvPzjJvEy82Kl1QJsZMx6jnO14yiqWk73n9cbZ3fN9FofV+0c81VXV4Zz0+rQLZRutnTTJcMKY11YVqFDipakycnJdZTPpKQkEfuhRSllrAMpUnsKKPbX80WZbrh0Y6T5rFgonG7eZK3ypKM4qreKficLqHLzNvIffy229w3tgp4tUvHg7LU4XFRRZx7itY9/xoMzn8CJu5zB81/0PRfJr07BzfH1aqyOpIzuKoLlof0wddFmzFq+w1BtWJ9UC++cbhlCnj+s3+/3Ikf0zNSl4Hk7juzVcnp87r9oUM9ZNUENtXPMV11dq5+bMkDKKOU4MNaHZSUHIVNMmfCBrHvkHqas4gW7o1Tdw2bV5jQbrTdvigGMstnEduQeKTP1hu+tZzp9r1hfh/ZohsHdMj1bVe12DP72Kdh2rUdF/WRse2oyzrvlmhpF6bXLeoluUmQx9SUrqzB54caALVvZ139sPYRxp7UzRTGds2ov7hnSudYDjLusCOU7b8fRsXOqBH9s1dZBy/0cM6vYP+PdPUyZyx06dGBXvsVhWcmBpRTTn376KdRDYAxAN1zK+F15KMprtyKthceDjdab8rjpK3QnzWhZtl7rK708KruUZfnSFBTfeTeWPvEy6nfphHYuP5NSOxU2jJvxt09ZyUBqQiyuGpAlLKr7Co9V69ALldJ6at4Gkd3v7z5xfRjxZAGnxDBlnb6ofU5pe4BwP8fMKvbPqEM5Ec2aNavJRGasC8tKDvhMYvyGrECUPb2/RCkZXxtbtbtZsRZZDa03ZSOZ3L6WTUrp+0u2aba+1oHitL/7TkySInTSMgd6DH4U1y/JF33YKb6QvlcY2iNTlHOyxSVYOr5Uqzyo5NHDw51hDP5ilqJODyOKBdxdrqSQalFKCZLPvupzihRdOofUJKZ2jtFnI/9j9LmHKWaO40utD8tKDlgxZfyGLHgPD+uEc1tVIba6TqSCckOkGEirJlf4unkbQcsNXyiSzy7CE9/+a8z6+vXXAPW6v+gi/DL3txpFyGGLqhMK4KqcUt3Ut8/NwB1nutpT5YTKSGndf1rx9zhIrx+vagHXA9VEHdGqSmTn92vbqCaO2H183s4x+mzkf4w+9/C6det0dbZhQgPLSg5YMWVMYUj3Zjinf3ekN6htIaSMX6uXo/F28zaClhu+mkXNG5v2HxF1LqtKy4DbbwdGjQLy8+Ho0gWTf9muGgpAkKJE1lnFndWqdWvM/MvZFcRqpCTEYMKgDprmPXzUe6yvERx+PozQAswYE4nr9/1RotA+HUd0DtG5ROeUnnPM6P8YbdD5lJWVxa58CWBZyYGlYkwZuV0k5/Rqg7N7ZplSuzPYKDdvTzGBWl2vrjd8pY4pKZLu+8JbTKk3pi7egtlfLcGbc59Dl93VSUF33ok/r70T/3ywQnMiFslq3QFS6IzHZQaSy/u1xgmtGyKjQT3sLyz1uJ+UMkcNk+I0L5f+49ARv1pQUqF5fteHkdwic/Zr05SEOjV0adpIfVyj/2N8Q+cTVZRhrA/LSg5YMWVMc5FQ79wuXbpIW3bG083bbndgzLt/+vzvQ8M6Iz05vlbnJ/f6kUpZp5QE76V/VMf33xI8N28KGpQXI69eMrY+/wqOv+VK7F+5W1coAMlqf87G6paggVdMSHm8ol9rHC4ux4d/1K5d7IlXF28RL3ooUJK/HCpKIO1LLUwY1FFX2amrB2bhpYWbPK7b4eGBRXkYoWPI2b3JGK7H0fGtUvDfhn9RVdWkVra3avKbD4z+j9F+7eMC+9aGZSUHrJgyprlI2rdvH1B3lpF2of7evGmdpFB6U2jo96sGtqkZi6/ST9cMzDI0tl57/hNK6V/NO2P8iLthP9ICP1faRckhLWzaf1QoTX2y0pAX0xBVDuMKlB7yisox5cdNuF2je15BUfwS4qJR7NJFylUJVORD+9abZfWWM9qLF5X88lZd4dj8HXBcRnIdC3paUixGZTfHGZ2aiplzj5bVORaVmGW1MXlbr+txRMXAA31OMXJc+xhzYFnJQcg6P5kBd36KHELV65sUn/Gz/sHc1ceSh9y54ZQ2ovi91k47pNy4Fsj3Cp2e1d1kYqoqcdnK+ZiRfQ4qo2NqrJGHi8p1bVPDpFh0b5aCnzdpq43pDo2GhqQ3i71pchxstihV97wW9/rVA9sIBdP1gWTe6j24ecY/qv+jeFVSNN0fHKBiiXWNu1QehsgC/vXKPbX2tbfjT20dnuDWoAzDhDuFOjo/8SMeY5qLZOXKlQHJTFVLFPKUce4PpISQRXH2yt3ifd7qvRj4zI9elVKlqLqSWKSlWD8ppVo6F45Y/zM+/PRhoZASpIx+ePy5NUopoVcpJQqLy9G0ar9w5RuB/nVm5ya6/7f/SDlOyEoT00bs3BTz+dLCjUJJVCDZ+8rKn7xwU62yWXqSgUiZLSgpx7QlOXX2tdrxR8cChRhQOECaWwxsWmJsTS1Tb+sN9DnFmAfLSR5YVnLAFlPGFMjwXlFRgdjYWFPr+QWr17cni6weZl7fT4QAkFI7ftZK+EN8RRke+fEtXLbqe/H5wbNuwse9h8E8HEiIBkqEvhP85JfrT24jlH0j+9pV3qSgegqZUPufmjXUW2iI3uPP03HUsNr9P6hLRp3OT95CUgJ1TjHmwnKSB5aVHBZTjjGVkGDEWhohEIH/wej1rRYTqgclscjfDjrtDu3E1NnPovPBHNErfWr/izEzewjMpsKOkPHub9vw8iXZ2JJbJKyZenBtD6unsoGuDloGjz+yrHo6jvKKKvDekhz0cTlPtR6rnEwjBywneWBZWR925UuGUpSduvqQZc5Td59QYLfbsWbNGvFuJoHu9W20dJM7ikLqT7H+UWsXYc4HE4RSejApFWMveQIvnjIWVVHmKvwxNuD8NnbxHgoo6uGWWSsx7fccw8ugUAu9FldFiaROW0rohVnHFRX699ZW1r2WbCjPKcZcWE7ywLKSA1ZMJSJYsZZGsx27d+9uemZqoHt9+7KI6e3wZLRY/7jfP8Hkb19EUkUplrTugaFXvYIlWdke501L9M/RUekAvtwWJd5Did76sK7syis2/F+KSdX6MKf1uPJV6N9rW9kgn1OMubCc5IFlJQd8xZMEb5Y9oxYZswlEkgYpfO7JIu7Q70Z7fRu1tLqidHhSkqfKKu2iNFLTBvG15mvkpRj8vE4noTA+CS+eNAZjL34CB+s7k4Q8ER8TI7bZH4NnrORnPmXI+4PWhzmtvea1FvrXe7xx4pMcsJzkgWVlfTjGVBKCEWvpr4uEikyThSfYMTw2P2Jxc3KLDK/XtVyQp6QX6lxEhd2z0hOdBdNbp+HU5xc761s6HOhyYBvWN20r5t3WsDlOvuEdFCQk+1yv0XJLCuTCP7e13RJW01DhKeZU7ZghGZMSa0ahfz2W/VCeU4x2WE7ywLKSA1ZMJSHQsZb+QjfO7GzPrmd/ICXBl8s3r7iijkLuSVF01sHMqqlpSfPoTb5RuLB3czx7Yc+a5XhKeiEFksobUSa4MjZSYu569zc8+cNrohzUmNFP4Y/WPcRvWpRSV6UqKT4aR8t8W6lpviKX+ajb06dbWdFxf5jzVivXU7ta90L/vtrX6rXsB+qcYsyF5SQPLCs5YMVUEgIda+kvZAEsLS1FvXr1TC1tY0QhV1MUqdsPKaKUdPP0ed3xxLfrDY/r5I6Nffa992SVG1J1ACd/PRFJOVtRaYtC+0M7ahRTPdCytSilxJPndRfWW6VIfF5RGZJjgSMVtJzQV3MINXTs+OrWRYoplYTypxqGzSLnFGMuLCd5YFnJgeSRZpGD1lg3o7GWZrhINm/ebHoGsV6FXEuWPVm1bp5RN4nMyLi0hli89+tWbH7if6g6sa9QSh3Nm2PDzDk44bkHRQ3U1y7rLeQXCEgpJYvgw+d2xfIHBuHBoZ0wqLkd0azrCNKT4jXFbxO0H0dmNxfvrkqpHst+qM8pxlxYTvLAspIDVkwlwVu2t2usW6jqmZKLJBCxcHoVcn+z7LXguj4tFt36ZcXIvPFqtH/4LkSXl+HHdn1wzlUvY1fX3jVKztAemcIid8vp7XSNhZJu9Dys0PFx1Unt8NPBBOHSD3fodPC2leJhwOZ8ePAnoz4QoTaBOqcYc2E5yQPLSg5YMZUIPa0UQ+EiKSoqEu+hVMgDHWNrc1ufFovumZv/xPANv6IiKhpPnXYNrrvgIfxXGV8nK5yWObB9Y81jIaXqyZHdasblPk61hxX6eHHPxrAZSKHyVSHBKtiqX9RlSvnsiZKKKiz6d7+mZXo7tgIRahOoc4oxF5aTPLCs5IBjTCWDlE+KV1SLdTOzK5SeZZGLJCcnB506dTLdwqMo5N6ST1zdsmZBYX2uOoFrFr4CZdpTy8nDRepu3NldTkPX/Vsx/7iB+Kd5p2PL95AVrpTH0lLj86FhXYSl9VX0xoOz19bq5U77hn6nbHFqk+oqP5LV8Y0qhStfT1Y+jfCZ87uL6Ts+XYXicmv0cL/+5CzMXb2vzrHx0LDOSEuKR2WVA7P+2lkrAUyhoLgC7y7J8VupVCz7ouKCl9alekJtAnlOMebBcpIHlpUc2BwSP47r6b0aCXjLKtZrTTVzWQr+Ks2+/k9jfnTOetGFRw9qZYBevayXUGy8rc99HxENSo/i7l8+xPOnXIHCevV9rp9iTJWsfVrmjR+v0DRukseInpmYs6p233lSlC/o3byOsuYqP9qXxz+5QHORe1KWSSlVZL9kcy7GvPMnQs0Np7TBfUO71Dk28orKRXKb1rAOEitdCb0plRRq4e14VRKooHI8hdqrwTAMI4O+xoppmKCWVWzkpmhkWfR8c+TIESQnJ3vMIA6EoqtlzGooysYD53TCw9+sq2Xx9DUuUoKmLtqMyQs31vmt557/MHXOc2hZsB9zjzsJt5w30edYpozOFrGmtFzqSBSoGFlFKq+N6QVHRQnGffqv5qx82icvXNgTuUVlNTVZT3xqoah0ECquHpCFR0Z09ftY0PKQovX8MfM493VOMdaA5SQPLCs5FFN25YcBeksWBWJZ5CLZs2cPOnToUMftqKUUjz/Kqd5+98qoydr41PwNtZRSSiYiF7jaeJxW2XXYV1hW+weHA9cu/xoTf34fsfYq7Ehpirf6nm9qhr+/KPJ7cu469E+vEFbCKo07jcY15t0/aylbA9s3wrdr9iFUnN01w+9jwZVrBmZh/tq6IQF6lEpfoTZ68HZOMdaB5SQPLCs5YMU0DDCzK5TRZdGNk2LhAqk0Gx2zO6RsDO+RiTd/2VbnN3IBj5uxAq9H1VWW1RTslJIjeGHeZJy1eZn4/O1xAzHxnNtwJD7J6zjc4w6D0RyBxr67oByfFygjMAY9VJillNaLsaFUR7CrrfoBYl9BiWgB66r4+aPc0zH4wLAufiuVNL8Z3dfUzinGWrCc5IFlJQesmIYBZpaqMboscpGQiZ5M9a5ux2C0UtWj0JFCM6xbJt79bZvuVpWeFOzjDubgvc8eQ/MjB1EWHYMnzrgeH/ca6syc8oKnrPlgNUegbPzmScDuIuMF9s0MTI+yUXGQKl3rPlRUjgmfrqrjKjeq3CtltcxSKs1A7ZxirAXLSR5YVnLA5aLCADNL1RhdFrlIDh48WKcYeDBaqepR6Chz/Z0l22D3oll5qluppmDvq98IVA50W1omzh/7P3zce1iNUkpJSGp4KvHlq2arWZAefFyKQ7xbgeIK/7L7lZAQsmgbVe4prCNUNYDVUDunGGvBcpIHlpUcsMU0DDCzVI3RZZGLhGLhQtFK1deYjeKqLLtOU8H8o3EJQgGl/vZXXfQY9iWn42h8Yi1X8/3ndBLJQQ3rx6NJcrzQeJXkIWX/kSva1W1Mlj8lsztQJMbFYN3RGNgdbnGyFsc9McmTlfvnu083dCxQZYN7hnS2lHKqdk4x1oLlJA8sKzlgi2kYYGZXKKPLoifRQ4cO1bHuBKOVqrcx+0NOblEdxfnEnWux8J0bccnqH2p+25zeqkYpdXU13/n5ajzx7b947rsNOFJagYEd0ms6PVHfesrAv/TtpRg/a6V4p88EWVK9WVv9paisEomOUuHSt44a5htviqZi5f57e56hY8FXZ6dQoHZOMdaC5SQPLCs5YMU0TDCzK5SRZVHsTn5+fp0uNUYUXYrnJEsiFYand/psdMz+MHPZjpp1n9g6FRNXfIGZM+9HxtHDGPvPPETZq3S7ml2TqNxDA5T5iIeG1y2DpBey2nqCIg1aJjnEe2Jc7WzvjAbxOLdHBlIT5Ojw5A5Zn40eC8FIPtOD2jnFWAuWkzywrOSA65iGGaHq/GRWfUd/60CWV9rxxNx1+GjpDpiBKH5fvxIYOxZYsEB890XX0/HQ2TejmNz5LiTFR3vsLuQaAkGu5lOfX+w1IYyK2d90altMmv+f4XHTPlsw4VR0f+z7Wt2rPI3rw2tOxOHi8urC9GUYN+MfU0MigolrswLl+F2y+SCmLt7i878TBnXA+EEdgzBKhmGYyKKQC+wzoXCR5ObmIj09HVFRUYY7N/nTJECtE5M/TG9bhIGPjAf27UNxbDwePusmfN59UJ35qPzU3NXH+t6rQW0yyb0fKFz31e68Eo/rioID7VMc2Fxggx02MaZrT26rq8A/ie3Mzk2wcP0Bn0osKcnKdvsjG/cWsVq7M9F2DXxmkc+OYGQtXjLxTMvEmWo5p5jQw3KSB5ZV6OAC+0xIKC4u9vq7t1I8WuudJsfH1kogUpQIf7r9qNGs8AD6j/s/oLISW5pk4YZz7xHxpO7QCH7bnKtpmdsPe99HeiGXu2v3JdeC8A/PXquq4KXHA1uqs4mUMempAUoRDgvWH8DxrVPx9/Z81fkmDOqIW85oL+QUFWXT3G7VE4mx0Sgqr1LtzqQWR03fXXpiK4+dulyhpgn+lC0LxTnFWAOWkzywrKwPZ+UzpkAWnaysLMP/11rv1L37ECkjVG9Ua7efRklx6NkyBSt3FojSUWoI5adlK+D++7H/3y0Y1nIUSmM9xyzSerX2nG/d8FiSlBm8OqY3omw2j1boYpWwgiqHDb8fOKbAtUxLNBxj6U0ppTXMWr5DKKb04JGSEIeh3Zpi3tr9MAIppeRun7V8p+7uTFnpidLFmfp7TjHBgeUkDywrOWDFlDHNRXLgwAE0adLEkNvRiEKgJAvdPqiDJktfcr1okS2/aMNB1ZjQk7etwK6Upshp2FwoO1Fdz8DSVXtQOmulz+VTIlFJeZXXMltj+2fhnd+2mVLaivTPguIKDO1RVyEjC/LnK3Z5/h8c6JzmwL95Tlf+O79uRcuGCaYX+FceJqYu2iwUVDNCLLLSk4S7Xm/sczDKllntnGKCA8tJHlhWcsBXO8Y0ysvVLZCBUAgUxW7akhxN8x8pra2EKhZFSjaKtlfh7p8/wEefPow3vn0eb17ktMBRL/ncI9rqfZJupIQdQMXVHBcTVVOlwF/InU7tU5Vsf/ewCFUoGz/62MD2HykTCj61Yw1EgX9yoZsV90vHiRISopTe0hITGoyyZf5UlQjEOcUED5aTPLCsrA9n5TOWQEm8MbtIvi9IIenmKMTHi6Yg5S9nmID9//4PUVOm4LvNebqTqTy5mtWqD9z/1RocLqrwe/zuST+kDFFdVCPLoSQlysonrJaZTw8Qfz94lsfkJi0WVCUOGSoxqnrLqnnC36oSDMMw4QgnPzEhcZHs3bsXmZmZhtyOSr1TUhzUOvz4SgIqKKnQ/b9TtyzHi99ORkpJISqT6iPq7bcRdelow8lUWl3NpKSUVNgx4RPfIQLecG2fqiTt+AqLiLI50CPNgdXkyqd+qi7LSUuKFwqa2dUNzODqAW3q7Ec9iqBS39R9fi0xqlpQO2aUkBO9iq+/5xQTHFhO8sCykgOOMWUsg5rioIWrB7bBSws3alZqY6oqcdcvH+LGZV+Kz2uatsMtI+9FeU5jPLR6jyht5PDT1eyLjAbmxTO6KqP+xEnOX7sX53TLFPVWqYvSwvX78K7GUIlAW0spicpfRZA+U7KcWfV59VaVoHVbpRwVwzCMFWHFlDEFsug0b97c7+W4Kw7p9eNx56crsb+wTFVRpPadrRol4vZBHUW3Jtd6ldT9SC37vu/OdeJ92vHnYtJp16A8Jha2glLcXO3K1oveGEUl7tFb+IJWRTsnt1jzcslKuvKwZ+Xowz+2i5didXzo3K6oXy8GU37crHGrAsMz53cXCp3iticZUyMFI4qg1geHQFSV0FOOyqxzigksLCd5YFnJAceYMqa5SHbt2oUWLVqY4nZ0jRskpYusodCgpFGRdKpZSS51soZVVtoxdtqyYzNQhXYq5AmgecEBdNu3Gd8fNwBm8IaBGEW1uEe9ZLrFmXoLRSBX/vGNHPj70DFXvjvKt/93ShvMXrnXZ3F615AK2r15GstnuVI/PgYx0bZapbdc3fJGGii4doIKJJToNF5D5YYpo7NF0lYozikmMLCc5IFlFTo4xpQJCXFxnnuz68WTAkKuXGioF0qW1ZcWbhJuXFJISGEgYqsqMPGn91EeHYtnT7tKfLc7pYl4mQElPRmJUVQLXyCF7JxuGXhPoxvd3RqnLNdjgpUDKK7yrgkrP735yzbN22KrDqnwVchejSv6t8KdZ3fy6GY3GvMbrLqkgSpHZdY5xQQWlpM8sKysD7vyGVMgi05GRobfy1FTQKhep6NaAWzVMFHEgHpy0Sv/e+CrtTijU1OhCLTM34eps59Fz32bRN3Oz7ufiS2NWsJMOjSpb/i/anGP9FmrYkq4WzVpubQP+k36sda+on2wLs/cOEfFsllWaTe8jG25xR7d7N7iN61Sl9RX+IRS9UBPqIdZ5xQTWFhO8sCykgP2DzGmuUhycnLEeyATSGb8uV0k5Xjr2kRQIf2+Ty9E/OyvMP/924RSml+vPq6/4EFdSqlW9Y0UZX/qVXqqzakoO1o5fLRuvVWqm/r0qG5iO5RtibY5MKCJXbz7y7jT2wl3OYURkCLsjyL457bDHvehnlapgahLqqeqhLJu97F4a5kayHOKCTwsJ3lgWckBK6aMaSQmJgY8gWT/kXJ8/OcOn8uKryzH7bNfRu87r0f9smL83awThl39Mn5s31ezUvPaZb2FlUuPK93M4uquyo4WKNHLE4pbX9kWCrPNLQPSEv13E3dsmlyryL2vQvbeoIcN2odmuOMdBhRBf3Hfzwr02WiNVH/PKSY4sJzkgWVlfdiVz5jmIqHWif5gWjygw4EPP30YfXeuFR+nDbwIGVOeh/2HzYAPy5urdYsUicHdMjB5wX+YuniLz9UuWL8Pd3y60tTi6vS/CYM6aorb9Gat9BQucHzrNJz6/GK/mhq4r9PferSejgErtQn1hZnlqMw4p5jAw3KSB5aVHLDFNEIx07InlldVhS1btoh3o5imgNhsmNFzMA4lNMBVFz6Kx066EruKqkRtTnI7U2Y0vZNFNNOHdYsUioHtG2taLcWDult86TMpae5tQ/XI5qbT2olqA76487NVXtejhAsM756BJsgXrnw197MW1FzlapZDo8eAESusUi7K3+PaCEZapgbqnGICD8tJHlhWcsDloiIQb91yjFp7KHYnLy8PaWlphkvb+NOWNL6iDC0L9mNzequa7xqUHkVhvfperZc1dTELSoQruWH9eFH43nW7tYyLZvWmA6UlxuIvl3aarvU4KTaU3PAZKQmiX/0T37p1JmoQjz5Zafhm9T6v+0Bra01FVg1SUvHX9nxRRP+rlbtrZe9T2aeTOzTyus4bTmmD+4aqhxoo20hF+6k2qi+S4qLx1tgTkFtUVufYM1pWK1jlogKBGecUE3hYTvLAspKjXBQrphGGWta74nalskxqdST9RUtPcyMKSLtDO0XWfcOSQgy96mUcSkpVndfmQXHT0tZy3uo9Hgvv63FXU0WB8YM6GqrHqRUl+9u1pqmn/U5hB+5joDqidocDxeXHLHT1YqJQqpJp72lfeoKsvpe+vVT3trjLwMh+01M3lGEYhgkMrJgyHlEsf3pu7FqtcOQi2bp1K9q2bYvo6Og6v+vpaa5HARm1dhGe/OE1JFWU4mBiKq674CGsanac5mL03upjKooXoTYeWtaQrk0x7XffFkGyQj49qjvGzdBfj1MviqXQ075slBSD7JRy/LTXhiqVAvtGlWCzjjtl+e7HnqJkL9mci6mLN4e1xdTXOcVYA5aTPLCsQgcrpoyplistCojD4RAmejLV26o7K2mx0qopva5WPnKzT5r/X63fE8pL8djCN3DxmoXi8++temD8uXfhYH1t5YGmX9tXDGDc9BXIL1Ev2p8UH42iMvUYv+tPboMvVuyqW8ReBW8tUs2ELIXxMVEq+92B5knA7iKy9vqfta5F+aNj4MZqS7gZx56v8AqtSrOV8XZOMdaB5SQPLCs5FFMOXIogjGa9u/b5VoNunKmpqbVuoKQ8kGVr4hdrVGuTQiVJxTWB5LqT2yEx7pjFqMPB7Zj94R1CKa2yReHFk8bg8kue0KyUEjfPWIEx7/zpVSklvCmlxNu/btOslBLBUEqJf/cW4P6v1qrsdxt2FZF6agvacUUPHmd20pZEpuXYC0TdUKvh6ZxirAfLSR5YVnLAimkE4W/WuzcFhFwkGzZsqMkgJgsZWbR8KX9alF5SLl68uGfN5/9b9hU6HtqBA0lpGDP6Sbw88FLYo/S5Ogt8KKSy88bP21SVYMrGH9KiypQC+1qPK3rwWOpFxkaOvUDUDbUS7ucUY01YTvLAspIDrmMaQfhqm+iPAkJZw82aNRPvRvqa+7K6kZLx2mW9cMvMf/DYoP9DZVQUXjjlCq+JToxnyDi98lCU1yoCWqFqA1q6Ky3dcsin9dnIsWdm3VCr4XpOMdaF5SQPLCs5YMU0gjBa/NxXn2/XeND0+uV4dM463YqvV6vb6tXABx8g7ab7hDJ1ND4R951zm841MArkwt9XYs7+0CrnJVsOGlq+lh7zSthHOLodfcViMaGH5SQPLCs54EfxCEPN/UlloozE6yku+7Hv/IGFv/+NK99din2FdXu2G+ppTr0z33wTOPFE4MUXkfDBu5qXy6gTY3Pg3FZV4t1fqLSYtzAM5RjRUscUAYoVNbuZRDDdjuvWrWNXvsVhOckDy0oO2GIqOVpqg2p1f3qqbZnhpY6pq8ue1vj7/ihUOUxSPAoLgf/7P+CTT5yfhw5FxYhRwBebEA6oZeeTkv7QsM5IS4oXstl2sAgvL9pkittdgWSkV1ZGwzCMhHVoOfa0oqdMmRXdjllZWezKtzgsJ3lgWckBK6YSo/em60uJ1ROvR8uidTtc3MOHtBtKvSseK1YAl1wCbN4MxMQATz8N3HknetqBqC/9U9KouxAVkNeyCCO93rUsk7ab2qP+vT2vTucn9/1NFj77j+Yq40ZkZSQMw/0Y8UVqQgxeHXM8co/W7fxkBDWlmGKs6XurJ0iR2zEpKSnUw2B8wHKSB5aVHLBiKil6b7palVit8XqkvLoui9zCI1rbMWd7FCp9FG2nsIFXL+2Nfp76iH/4IXD99UB5OdCqFTBrFtC/v/jp722H/LYcxsZEAeVVmpROUiBH9MzEW79sM1VBpX0eFxOlaT9rLfFFCneRS8cmdxomxeKh4V3RJDke93z2D/qmlWiSlT/xn+7HiC+euaAHBrZPhxl4U4oVCz/9Tg9iVk2UIrfj+vXr0aVLFy6wb2FYTvLAspIDVkwlRO9NNxCWI3eFidzCC3d7dw8rt/9nzu+OgR1UFJD27enqAYwYAUybBjRs6HcdVveYyAmDOmLW8h11lPSHhnVBWlJcHWtxr1ZpdZR66uLkqwaqO0ZcyFpLfP3fKe3w0sKNYtrhYZ9TxyllvQ8O74p7P13hlytfS/ynVnnRvnzmgmPjM4qrRyD3SJlXpdi1TJlVE6fI7di+fXt25VsclpM8sKzkgBVTCfFliXK96ZJyFQjLkbvCRO7hwgqDrvv8fFQ1SHEqFYmt0ebz79D13DMQHR1lah1WhVYNE0RHoGOVBOLFzsgtcvq3h/do5jPEgXrKU41WX4zt1wq9WzdERgNjrmlfJb4Uq+UtZ7THcRn1PcYIU8xqSkKcSP6hsZ/dNRMbTz0Ok6sVWQQo/lOrvF4d09tvS6meNraumPGwE0i3Y0JCQqiHwfiA5SQPLCs5YMVUQrTeTGk+PUqsHsuRu8JErvzz29jx5Tane1hRmF64sKdQ+DzGDFLW/ZQpqHj4EVx5zYv4vV5GzU+Z/y6uo/jkFZWB/u6vO/+3TbkY1btFTS/5uz5bpTvEgaxzvmrCUo3PR0d088tV7K3El7vV0pMCnVdUjie+ra2wtUiNx70nJqJ5Shx2F2jvRDVhUAdkpSdpjv/UqlT3a+ufxdKfBCuzHnYC5XZcs2YNunfvzq58C8NykgeWlRxwuSgJ0Xozpfn0KLF6cG8JWekAvhExi7UVJnLZU1tRUupqKTKHDwPnnQdMmIDYI4U45Y95HsMMSOkg6H3cjH9MyU7/bt0+oVgqCo274u6+bm/b7204ecUVotKBv+jpcOTayrWgpBzjZtTdvt35pbj3x8PCMkwS8aU2k3L5xuW9MX5QR8+yVCEYbUP1JlhpKlNmIbcjxZdygX1rw3KSB5aVHLDFVEK0WqJoPl81Jv2xHCkKk9OFWoIKu0Y37x9/AKNHAzt2oDw6Fk+ccS0+6jVMNczgjE5NfSofpNvERkehrLJ6EF6gJKGlWw/5HeJAv1EiF8WtesLMBBu9HY58xSGTrOas3otXL+uFJ779t47FeHSfVshKT/Q7O772MXJsHWlJsRiV3VyEGNBYjS5fb4KVmUpxMIiO1tdqlwkNLCd5YFlZH1ZMJaxDqse9q0eJ9Udh+nNLLg7u2IjGrTqib7t0z9tgtwP/+x9w//1AZSVKWrfBhaffjnVN23kNM/jojxyfygdZUrUopa5lmPwNcaDf1JRSrcvQg54OR94UthgbMEqEXZSKeqmu8baBaOnpqlSTBfnrlXtEDdd3l+SIlz91RY3EiJpRHzUY2O12duVLAMtJHlhWcsCKaQjxp/i3miXK/aarR4k1qjgLhal9OuxtGwpXCQWYe2T6dOCee5zTo0dj0bhHsG7uFvhi++FimM3G/YWa5ptf7c73tN2BCpMwA2/rpHALZyywc75gtPSkdVBowbQlOaZWh9Bq6acEsPTk+IAo3oGCziWKL2VXvrVhOckDy0oOWDENEWaUcNLq3tWqxPpdwL+qSvUmKhTcvoPRdsBpODr0XGRNvB0Nc/IA+FZMWzdMhNn8sP6ApvmolSa9PG23nljfYOBeLskbsVFAZVVwxxaI6hBaPQJXDWwjhTKq55xirAPLSR5YVtaHFdMQYOZNWqu1S2+Mol7FmVwkVAy8VgYxue7feQffn3A2Hv1+i1PBPelO4IgNmc8tFlYsLUrF2P5ZeOe3bV7na9ogXkztL1TPkvcHT9sd6DAJPXh6iFCrYECufGqGsORwYtCSfwJVHcJfj4CV8XhOMZaD5SQPLCs54EfxEKDnJm0mrhnb3jKrfSnOBP1O89UsOzoa2dnZx26g+/cDQ4YAN9yAfdffemx7q938pMxRlj11VhJfu63H5tYlyVd296MjuuLREZ7nMQNP2x2MrHMtqFUXUKtgUOWw4dOt0aLQfrAUtkCGPeipWiATdc4pxpKwnOSBZSUHIVVMX3/9dfTo0QMNGjQQr/79+2P+/PkId6wcm2hUcXY4HCgpKRHvWLQIyM4GFixAaWw81npIblJ0ps//3o2rBrQWHZe8KRValA96vXpZ7zrLMgtP2222UkRKLyVmUTF8endV/tXm11KxoPbY4vHa6G4Y3PVY3dhAE+iwB9rPlMQ18/p+mDI6W7zTZ1mV0jrnFGNZWE7ywLKSg5C68lu0aIFnnnkGHTp0EAfMBx98gJEjR+Kff/5B165dEa5YLTbRDMWZXCSb//sPXb/8ErYnnxTF84vbH4eRp9yGTY1be/w/3W4PFZVj2u/ba/q5UwmhQV0yVGNlvYUjkOWQislTxncw94/eMAkzk+G0lEsi3dY1+ef4Vin4b8O/QmbBssYFI+whGElcwUScU5s3i1qmbDW1LiwneWBZyUFIFdNzzz231uennnpKWFGXLl0a1oqplWITzVKcow8cQPc77gAWL3Z+cc01WHTdfdg0+z/N680rqsB7S3JwfOs0VSVPTfnwp/uPGfvHX6XIaDKc1ocIUkophEOB4haDSTjHggYKUkaDLSdGPywneWBZyUGUlTLlZs2ahaKiIuHS90RZWRkKCwtrvZSnIOXd1zStx3VacZPpmaaX+zShdRoOu7gJR8EhWnkSNB1to47zzumHh3cSN+lQbFOfrDTRtpKwuYxRmXZ2zYkXljdlmyqPHoVjxQo4kpJgf/994N130bBxqtgmZfuilGmb2zSOTdM6bpn5Dy5/5w9MmPUPLn17KU597kfMX7NHdezkzn5y7roadcc5Xuer7rTnbVKmG9ePqe6G5JSHu2yapcTjhNapmo83LXIqr6jEY9+sq2ntaquzHRDbV1llr5ETTf++OReb9xX63CYaOynTrjI+cuQIKisrDW2H0WOPFOvXLssWoQSu2ydCCy7LFqEFRs4nZZrG4TodjG3Scj4Z3aZQySmQ28RyYjmF8tijdzqn6Ds+nxCSa4QUiin1gq5fvz7i4+Nx44034quvvhKuK09MmjQJKSkpNa+WLVuK73fv3i3e9+7dK17Erl27cOCAsyTQjh07kJubK6ZzcnKQl0dlioCtW7eioKBATG/atEkcsMSGDRtQXOysnUlZsaWlpTVjraioqCnSS+/0maYJmo/mJ+j/tByClkvLJ2h9tF66Sb9yQUeck+V0pbZPcaBvY7pJ18PLo9qia0pVyLbJXlWJ67o6x5Uc68zgJhrGA+e0dE4/NLgNtm4+tk1b7HZsf/555P3wA7addJL4vm2yHWe3cip6ndMcOL6R8yDukeYQL4K+o98I2n7aD+R6PqmpA1nJTrl3SizB0187W4R62iayrp6YWizGSpzfxo6EaGf2OU3TO32maW/b1K1JHB4+2WmlbpEEnJbpHBeNg8ZDPHhmC+zetVNMkyxIJv7K6eflq+Eod8qDxkJjImiMNFZa84CGxfhzy0Ehn3m//InTnl+Ea6ctxf4dm7xuU0YCcH67KGF1Vo49WsZ///2Hbdu2iXlofDROM7dJ7dhrYTuMheMHihjQ/w1Kw/Rr+uDnu07D/7d3J9BRlvcawJ9JCBBCIBCBEAKEHUPZUQFBsSxCPa14rKIXEFC4Ry+3FCxHjbciLmy3FoGLZdOKFRCUlrqxFK4iVbEgEBDpRQOySEAQQoJhCSZzz/+dTphMZk1m8r3vN8/vnJxk5gvhm+/JZP7zrk1Lz1Tp+STkPOR8qvsxRetvhJU5ResxMSfmZOXv3rlz57Bv3z71c/h8QrX+jXBnEwqH0+KR9cXFxeriyEVYu3YtXn75ZXz00Uc+i1NpMZUPN2kxleJULmZKSkpZtS/r/vn7Wqp2WQDe/bV7QfhwvhbyMz2/li4C97uwUL+Wz9LytetYAU4XXkKjurXUrknuFrNAjyOaj0kKwEmrduOq0/GvFjdZlP3a1w/1b40nOicDo0bBkZ0N5+23l3tM8hjdX2/68iT+Y2WOanV0quWLHGWtpWVfO4FSOFTLnjPA103qJ+KjqbcioUZ8uXN/Z28efrNmD0rUj3KoljhZPF5IUVr+a9+PSWaq/2FkdwzJaoLN/zyNZ9/9Ui09JffLuaen1Faz2OV4ONmEktPbe45j8pq9Zefu+Tg8v/79vd3UCgWubEJ7TPL1SyO7Y1jnZhV+9zxzivRjsur5xMfEnPi7x+cT/0bEafe3/Pz582jY0NVAIpPdtS5MvQ0aNAht2rTBkiVLgn6vFKbSchrKA6XQSLd4vzkf+J1QI62fd53ai9+/NxeOs2eB1q2BgwfhjI9X76qSk5Mr7Pzka1JPZUlLm3ssp3tB+U9yv8fCD3ND/hnJtWvgwmVX96i/CUaV2SrWl2A/R44v/+QbtV99MCvH34Spb+0N+Tr6mzjl7iL2lRXpgzmZgTmZg1lZJ5x6TbsF9qXC9mwVpeoVcI/1kh8xdduf8PCOv7ju6N4dePNNoEYNlJaUIC8vT62w4D2D2HPW+qnCy3juvS9xrsj/HvOBuCf7VLbYlZpwx5ODkHP8fPBtVqs4wzvYLPtQH4N7Mpy0LIfyeP/ztja4uW0jv8W0PMf8ZUX6YE5mYE7mYFZmsLQwzc7OxrBhw9CiRQvVgrNq1Sps3boVmzZtsvK0Ypq/Wd7phafxP2//N3rmucaJHB4xFq2XLwJqu2aoS4HTsWNHvz/Xs9BLTIhTs7NFuM31UkhWZQa+jF+VojTaywoFm2X/77e0wtJt3wR9DJ4z1r8vCu0NW7smyQEfX7CsSA/MyQzMyRzMygyWTn6SQfoPPPAAOnTogIEDB2Lnzp2qKB08eLCVpxXTfC2F1OTC91j/6iRVlBbWSsLDw7Px3YwXyopS4R5DEsrIEH+L0gfqKXetBFBbLSUVbEF5qzcuCLZzlnws+3vwotR7of5IrX8bTlZ2EO6mBbqItZxMxZzMwazMYGmL6SuvvGLlf297lRkn6WuN1e+Sr8Pf2vVG+++PYtIvHsfVlpkV1liVLpIzZ86ocYuhdA/7WpQ+v6gYE1dVbEn1bDXcdTS/ymNV5f+K1BjSqix6H4wsij/25lZl5+XOJtDPbhrC+rfhZmWyymxaoItYyslkzMkczMoM2o0xJWtfkN0Loc9YuB4XaybibB3XWqVPDX4Ezrg4XI1PwCIfC6HLC6eMWQyHr3Gci+J6VDjvNI/zllavynKP1cwvulJhglcki5VItcjKovie11m+/kXXpliyzbV8kC9yPFiBXZmsTFTZTQt0ESs5mY45mYNZmcHydUwpei/I3i1r7hdkOR7I0K+244NVj2LhpnlwOF3LSVxJqIXUhsl+X8zlnejZs2fLlp+orGB7nld1m1Yp3Cau2lPpa1OdW8l6/xxp5X1nb+Dzk+PBuqojlZXOgg2nEHJc5279WMjJDpiTOZiVGdhiGmMvyNKWJselG71Cy5qshjB1KrBwIWSt+t6d4rFmRBZOxtUO2t3tHrsj68lWVaAZ8cG2cw3k1wPbYc3nxyt3bcIQyjnKj1ebgIWxJW0oQwTkuHxfoMlPkcxKV8GulTPEa2WlWMjJDpiTOZiVGdhiGsMvyOXk5gJ9+6qiVHnsMTi2bcONPdqoPdblxTtQsSZdJLL+bLCxcFWdiOIeaiDCLR1/LC2t3LUJU6BzdG13Ckzo38rvcX/7xoc6RCDY94Walckida2sFAs52QFzMgezMgMLU5up1AvymjVAjx7A7t1Aairw/vvAnDlAQkLIBaV0kcgqC4G6HaWbXMZ23r/sM/x6dY76LLfD7T73N6s/OEe1FSv+ztE9yz77Z1kBj/saLhGpWfmhZGW6SF0rK8VCTnbAnMzBrMzArvxYf0GWvW7/679kc2FA9rh/4w0gI6NSE6nce+hWx0SUcBbtd3eNS6tvKDtERapY8bXygOdwiGDHwx0i4G8IgC+BsrKDSF4rK9k9J7tgTuZgVvpji6lNX5AdQdYDLXtBlrVIZfcmKU4//NBnURrKRCrZG7d5i5b4xzf5FVpVozURxT0W9a7uzTDzrs5l3eTej1dIEd27dWp41yYC3OfobzhEsOPhDBHwNwTAm2SVmZlZtp+xHUXqWlkpFnKyA+ZkDmZlBv7Fi8EX5MWO/0P8y8uuHZBu/OefV1uLegqnoNzwRR7GvvQ3jFy2vUI3faXHvYZBWh9lNyXvrd/lttwvx+1QrAQbIhBKq7N0Z506dcr2XcSRuFZWipWcTMeczMGszMCufBu/IHt3v7dMBFbsXYGMdauBmjVdXfdZrkLNl1ALyoUf5GLB/x5Ej1SnqxJ0lm9VHXdzZtTHdkoB7GuLT2mElfu7t2igrou/a+O5Vqruwh0C4EtxcTFiQSSulZViJSfTMSdzMCv9OZwG73dXWFiI+vXro6CgAPXq1YNOormzUGXOoeWpo+j6mwlwHDjgKh6nTQOeekqmKfr999IlL62fwaQkJuD8Jf/jOxsm1cTZouAvsLJmaWWW7pHH6b1gvvc5SOEp66G6M9AhHyIiolhQGEa9xhZTG2+DqMYvtm4ILF8OTJwIXLoEpKUBK1cCP/1pxCYBSVEa53CiSwMn9uU7UOq8VuDJux4pShsmJSC/6GpUJqJUZs3KQGulxkJ31smTJ9G0aVOOX9QYczIDczIHszIDx5hqtutSqEJaD1Qaw8ePBx580FWUDh4M5OSEVJSGOpFKWktDcVe3ZmX/xvtnVHVspx3WrCQiIiIWpkZugxjyeqDSZS97bcusXpnctHEj0KRJyP9PKJOF3ONHpZU051xcudZST4Oy0qI2EcUOa1ZW98zUZs2asbVUc8zJDMzJHMzKDOzKN2wbxKDrgY7sjqEZiUCDBq4Djz0GDB0KdOtWqf8v2GQhmViyeudxnC68pCY/7Tpbvivfs5teCt1oTETp2bKB2uIzUL0vx+X7yNWd9e233yIjI4PFqcaYkxmYkzmYlRlYmEZQtLuUg7XIJl+5iLhRo+AsOQ3Hjh1AnTqu1tJKFqWhzmyWAnXiil24VOLRNOynmz4aYzt3Hc0PWJQKOS7fF6vjSr3VlFUZSHvMyQzMyRzMSn8sTCMo2l3KgVpkO313CAvfno1W+SfhlJn227a5WkojJFBBKYXrS6N6qqK5FNW/BBPHmIbfnZUmk+BIa8zJDMzJHMzKDCxMDdoG0WcB5nRi1J71eOqDZahV8iNOJDfCoQXLcEsEi9JQDMlqgvZ1LuNUSV2cKSqu1iWYOMY0/O6sY8eOoUWLFuzK1xhzMgNzMgezMgML0whyTxaSsZ5SjjkjPPvcuwBLvlKE2RsW4I6Dn6jbm9vehKk/m4zF/fvBCnXrJqH3danVXuxIAZxSJwHnL/peS1U0qJOgvo/rl7rUkWEepD3mZAbmZA5mpT8WphEWzZ2FvFtkp29erIrS4rgamDNgLP7Y606kpSRGdK/3UEkx2rhxY+hKrtem/afw3PvWry9rNd2zIhfmZAbmZA5mZQbu/BQl0WqZc8/KF40vfI8l62bg6UEPY196B3WfVXuAl5SU4MiRI8jMzER8gN2kokHWcZUlsyrDnYgJe6fbISsKHXMyA3MyB7OyDnd+0kBUdhY6dw5Dd27EolFDXS2yuA7DR89V65Va3fLncDiQkpKiPle3qiycLy2pcsZyPWXlgVjYltTKrCh0zMkMzMkczMoM7Mo3xfbtwH33AceOYehf/oLBjw/Xaq936SJJTbVmKaaqLpwfifVlTWJlVhQ65mQG5mQOZmUGbkmqu9JS4He/A265RRWlaNMGaNmyrEX2zm7N1GerW/qki+Trr79Wn6tbsK1TQxUrW5ZamZUVin8sxSt/P4xpb+9Xn+W2CWItJ1MxJ3MwKzOwxVRn338PjBkDrF/vuj1iBLB0KVCvHnR8J9qoUSNLlh8KthpCqBvAxsqWpVZmVd1mrT+AZX//ptwGDDPW/xMT+rdC9s9c2+3qKpZyMhlzMgezMgP/4unq449dOzZJUVqrFrB4MfDGG1oWpTqM3XGvhiCrH3iS23/4t+4BW1TlfjluxWoGsZhVdRalS7aVL0qF3Jb75bjOYiUn0zEnczArM7DFVFfffQecOAG0bw+8+SbQtStM6CJp166dZTO9A22dGhfniNr6sqbRIatok+56aSkNRI7/ZkhH1Kyh5/vzWMjJDpiTOZiVGfT8ixyrnB4l0913A3/6E/D559oXpe4ukvT0dMu7Hf2NvQ3UohpLS0XplFU0vb79SIWWUm9yXL5PV7GQkx0wJ3MwKzOwxVQXW7cCkye7uu7T0133jR4Nk7pI6mk6zCCUFtVYYkJWVXX03MWIfp8VYiEnO2BO5mBWZuBbcavJjNtnngEGDgT27gWmTYOpXSRffvml9jOIdVvNwAqmZFUVLRvWiej3WSEWcrID5mQOZmUGFqZWOnUKGDIEmD7dtSzUuHHA/PkwtYtEdhJit6P+YiGr0X0yEew9hxyX79NVLORkB8zJHMzKDPyLZ5UtW1xjRz/4AEhKco0n/eMfXV9rSLZYla0/3845oT7Lbe8ukqSkJM4gNkAsZCUTmmRJqEDkuK4Tn2IlJztgTuZgVmbgGFMrrFvnmtwkk506d3bNuu/YEbrauP+kawvUgmsL0HtvgSpdJAcOHEBWVhZnEGsuVrJyr1PqvY6ptJSasI5prORkOuZkDmZlBofT6TkV3CyFhYWoX78+CgoKzJokUFQE3HAD0L8/MG8ekJgInYtSWWbJ+5fE3YbjntEuv0aXL19G7dq12cKjuVjLSpaOktn3MtFJxpRK973OLaWxmpOpmJM5mJUZ9RoL0+ryj3+4ilH3eLHCQm0Xy3eT7vp+cz4o11LqyfGv5ZY+fvynMTmJiIiIiCJbmOrfbGC6q1eBJ54AevcGXnjh2v2aF6VCllXyV5QKaUWV4/J90kWSk5PDGcQGYFZmYE5mYE7mYFZm4BjTaDp2DLj/fuDTT1238/JgElnrM9Tvk9mOMhaOM4j1x6zMwJzMwJzMwazMwMI0Wt59FxgzBsjPd7WOvvIK8MtfwiSyAH0432fKBA0ZohDri+wHyorXRx+mPKdiHXMyB7PSHwvTSCsuBrKzgblzXbd79QLWrAFat4ZppGCT2fenCi5XmPzkOcZUvq+0tBRffPEFOnfurPUTP5QVBuwuUFa8Pvow5TkV65iTOZiVGTj5KdL27XMVozK2VLYYnT0bqFULpnLPyhfOILPy5UkvXSW6ziAOdYUBu/OXFa+PXkx4ThFzMgmfU9bh5CcrdekCvPSSa63SF180uigVUqhJwSYto57ktnchp/PWidI9LS2lvlp+3ffJce+NA+zKOyteHz3p/Jyia5iTOZiV/jgrv6quXAGmTAH27Ll234QJwPDhsAspPmVJqDcm9Mb8+7qpz3LbsyiVlh1ZDFw+m77CgN35yorXRz+6P6fIhTmZg1mZgWNMqyI3FxgxAti9G1i/Hti/H0hIgB3J5KA+bVL9H4+PR7du3WCHFQbsPiHIV1ZVvT4Uebo/p8iFOZmDWZmBhWllyTai48cDFy4AqamuyU42LUrtsKNGuCsM2HlCkK+sqnJ9KDafU+TCnMzBrMzArvxwXboEPPKIq6VUitJ+/YCcHOCOOxDrXSS5ubnadju6Vxjw9/Iu98tx+T5P7glB3sMAZKUCuV+O2yGryl4fqt6cSD/MyRzMygwsTMNx5oxrB6fFi123ZVmoDz8EMjIQ66SLROdlbaTbXVo4hXfx5b4txz275+06IchXVpW5PlT9OZF+mJM5mJUZWJiGQ7rs09KARo2AjRuBmTOBGhwN4e4iKSoqUp/tsMKAnScE+csq3OtD1uREemFO5mBWZmBVFY64OOD114EffwTS06MWiqldJEeOHEHHjh21buGR4mpwVlpIE5nsOiEoUFbhXB+yLifSB3MyB7MyAwvTcDVuHJUgTCcvnJ06dYIdVhhws+uEoGBZhXp9KLpMek7FMuZkDmZlBnblU8S6SGRnBzt1O9p1QpAds7Ij5mQG5mQOZmUGFqYUsS6SvLw8W80gtuuEIDtmZUfMyQzMyRzMygwOp8HNJuHsvUpUWXZbx5SIiEjXeo1jTCki5P2N/MLJL57dFgO324QgO2dlJ8zJDMzJHMzKDCxMKWJdJGfOnEFycrItZxDbaUKQ3bOyC+ZkBuZkDmZlBnblExEREZEWXfmc/EQReyd69uxZTqgxALMyA3MyA3MyB7MyAwtTitjYnfPnz3MJIgMwKzMwJzMwJ3MwKzOwK5+IiIiIooZd+WRJF8np06fZlW8AZmUG5mQG5mQOZmUGduVTxFy8eJFX0xDMygzMyQzMyRzMSn/syiciIiKiqGFXPlnSRXLq1Cl25RuAWZmBOZmBOZmDWZmBXfkUMcXFxbyahmBWZmBOZmBO5mBW+mNXPhERERFFDbvyyZIukhMnTrAr3wDMygzMyQzMyRzMygzsyiciIiIiLbArn4iIiIi06MqvAcO3F3M/YNKji6RZs2aIi2NDvM6YlRmYkxmYkzmYlXXcdZq7brNtYXrhwgX1uXnz5lafChEREREFqduk5dS2Xfny7icvLw/JyclwOBxWnw5i/d2QvEE4fvx40GZ6shazMgNzMgNzMgezso6UmlKUpqenB+1VNbrFVB5cRkaG1adBHqQoZWFqBmZlBuZkBuZkDmZljWAtpW4cDEhEREREWmBhSkRERERaYGFKEVGrVi08/fTT6jPpjVmZgTmZgTmZg1mZwejJT0RERERkH2wxJSIiIiItsDAlIiIiIi2wMCUiIiIiLbAwJSIiIiItsDClKlm0aBG6dOlStmBxnz59sGHDBl5Vzc2ePVvtljZ58mSrT4W8TJ8+XWXj+dGxY0deJw2dOHECo0aNQmpqKhITE9G5c2d8/vnnVp8WecjMzKzwfJKPiRMn8jppyuidn8h6svOWFDnt2rVTW4699tpruPPOO7Fnzx506tTJ6tMjH3bu3IklS5aoNxSkJ3nubNmypex2jRr8U62b/Px83HzzzbjtttvUm/FGjRrh66+/RoMGDaw+NfL6e1dSUlJ2e//+/Rg8eDDuueceXidN8a8dVcnPf/7zcrdnzJihWlE/++wzFqYa+uGHHzBy5EgsW7YMzz//vNWnQ35IIZqWlsbro7E5c+agefPmePXVV8vua9WqlaXnRBXJGwZP0pDSpk0b3HrrrbxcmmJXPkWMvCtdvXo1ioqKVJc+6Ue6r+644w4MGjTI6lOhAKTlLT09Ha1bt1ZvJI4dO8brpZl33nkHvXr1Ui1vjRs3Rvfu3dUbPtJXcXExVqxYgQcffFB155Oe2GJKVfbFF1+oQvTy5cuoW7cu1q1bh6ysLF5Zzcibht27d6uuLdLXTTfdhOXLl6NDhw44efIknnnmGfTv3191QSYnJ1t9evQvhw8fVr1Djz76KJ588kn1vJo0aRJq1qyJMWPG8Dpp6K9//SvOnz+PsWPHWn0qFAB3fqKIvAuVFp2CggKsXbsWL7/8Mj766CMWpxo5fvy4at3ZvHlz2djSAQMGoFu3bpg3b57Vp0cByAtpy5YtMXfuXDz00EO8VpqQAlSeU59++mnZfVKYSoG6fft2S8+NfLv99ttVbu+++y4vkcbYlU9VJk/0tm3bomfPnpg1axa6du2K+fPn88pqZNeuXTh9+jR69Oihxi/Kh7x5WLBggfrac3IA6SUlJQXt27dHbm6u1adCHpo2bVrhzff111/PYReaOnr0qJpQOH78eKtPhYJgVz5FXGlpKa5cucIrq5GBAweqIReexo0bp5YhevzxxxEfH2/ZuVHwCWuHDh3C6NGjeak0IjPyDx48WO6+r776SrVuk35kkpqMBZYx9qQ3FqZUJdnZ2Rg2bBhatGiBCxcuYNWqVdi6dSs2bdrEK6sRGZv4k5/8pNx9SUlJav1F7/vJWlOnTlWrXUiBk5eXh6efflq9cbj//vsZjUamTJmCvn37YubMmbj33nuxY8cOLF26VH2Qfo0lUpjK2F8uvaY/FqZUJdI9/MADD6hJGvXr11fjF6UolXXiiCh83377rSpCz549q5a66devn1p+zXvZG7LWDTfcoCZ6ypvzZ599Vi0VJeO1ZRUF0ot04cs8CJmNT/rj5CciIiIi0gInPxERERGRFliYEhEREZEWWJgSERERkRZYmBIRERGRFliYEhEREZEWWJgSERERkRZYmBIRERGRFliYEhEREZEWWJgSEVWTsWPHYvjw4bzeRER+sDAlIoqwI0eOwOFwICcnp9z98+fPx/Lly6v9/3WT/1uOy0dcXByaNm2KESNGqO0aiYh0wMKUiKia1K9fHykpKZZe73r16uHkyZM4ceIE/vznP+PgwYO45557LD0nIiI3FqZERH6UlpZi1qxZaNWqFRITE9G1a1esXbtWHcvPz8fIkSPRqFEjdaxdu3Z49dVX1TH5ftG9e3fVOjlgwACfXfly/69+9StMnjwZDRo0QJMmTbBs2TIUFRVh3LhxSE5ORtu2bbFhw4aIZSTnk5aWplpL+/bti4ceegg7duxAYWEhfw+IyHI1rD4BIiJdSVG6YsUKLF68WBWe27Ztw6hRo1Qx+tZbb+HAgQOqaLzuuuuQm5uLS5cuqX8nhd6NN96ILVu2oFOnTqhZs6bf/+O1117DY489pv7NmjVr8Mgjj2DdunW466678OSTT+LFF1/E6NGjVXd7nTp1Ivr4Tp8+rf6v+Ph49UFEZDUWpkREPly5cgUzZ85UxWWfPn3Ufa1bt8bHH3+MJUuW4IcfflAtor169VLHMjMzy/6tFK4iNTVVtU4GIq2wv/3tb9XX2dnZmD17tip0J0yYoO6bNm0aFi1ahH379qF3795VzqqgoAB169aF0+nExYsX1X2TJk1CUlISfw+IyHIsTImIfJAWUCncBg8eXO7+4uJiVZBOnz4dd999N3bv3o0hQ4aoLnrpGg9Xly5dyr6WVkspZjt37lx2n3Tvu1s3I0GGB8g5X716VbX2rly5EjNmzIjIzyYiqioWpkREPkiLqHj//ffRrFmzcsdq1aqF5s2b4+jRo1i/fj02b96MgQMHYuLEiXjhhRfCup4JCQkVxoB63ie33eNdI0Fm48u4VXH99dfj0KFDavjA66+/HpGfT0RUFZz8RETkQ1ZWlipAZWynFHKeH1KUurvsx4wZo8ahzps3D0uXLlX3u8eUlpSUaH9tn3jiCTW2VVpRiYisxhZTIiI/Xd5Tp07FlClTVGtlv3791PjMTz75RC25JC2NPXv2VJObZDzqe++9p1ogRePGjdVM/Y0bNyIjIwO1a9dWS0VVF1kCypucpy9SZMtEKxnLKo+BiMhKLEyJiPx47rnnVKuozM4/fPiwWoO0R48earb88ePH1WQlWdReitD+/ftj9erVrj+sNWpgwYIFePbZZ1XBJ8e2bt1abdf5vvvuq3CfnK8/UnzLBC/3agJERFZxOGVqJhERERGRxTjGlIiIiIi0wMKUiMgQDz/8sFqD1NeHHCMiMh278omIDCFrmfrbOlQmZMmkKyIik7EwJSIiIiItsCufiIiIiLTAwpSIiIiItMDClIiIiIi0wMKUiIiIiLTAwpSIiIiItMDClIiIiIi0wMKUiIiIiKCD/wflJtQuEMx37wAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "X_train, X_test, y_train, y_test = train_test_split(\n", " X, y_log, test_size=0.25, random_state=49\n", ")\n", "\n", "scaler_methods = [None, MinMaxScaler, StandardScaler]\n", "scaler_names = [\"LR\", \"Normalisation + LR\", \"Standardisation + LR\"]\n", "\n", "best_models = []\n", "\n", "for name, scaler in zip(scaler_names, scaler_methods):\n", " model = (\n", " LinearRegression()\n", " if scaler is None\n", " else make_pipeline(scaler(), LinearRegression())\n", " )\n", "\n", " _ = model.fit(X_train, y_train)\n", " \n", " x_test_pred = model.predict(X_test)\n", " score: float = model.score(X_test, y_test)\n", " \n", " lr_table.ajoutligne(f\"{name}\", score)\n", " best_models.append((model, score))\n", "\n", "best_model, best_score = best_models[0]\n", "for model, score in best_models:\n", " if score > best_score:\n", " best_score = score\n", " best_model = model\n", "\n", "lr_table.dessiner()\n", "dessiner(best_model, X_test, y_test)" ] }, { "cell_type": "markdown", "id": "f42b94f7", "metadata": {}, "source": [ "## Deuxième modèle : Arbre de Décision\n", "\n", "Dans la suite, vous utiliserez les prix transformés ou non en fonction de votre dataset. Le deuxième modèle d’apprentissage que nous allons considérer sont les arbres de décision [DecisionTreeRegressor](https://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html)." ] }, { "cell_type": "markdown", "id": "d3602df5", "metadata": {}, "source": [ "**Question 21**: En utilisant la méthode de validation croisée (cv) avec cv = 5, déterminez la valeur de la meilleure profondeur maximale (h) parmi max_depth= {3, 4, 5}sur les données X_train (sans pré-traitement).\n", "\n", "- Remplissez à nouveau un tableau de trois lignes (une pour la méthode “AD”, une pour “Normalisation + AD” et une pour “Standardisation + AD”) avec les résultats que vous avez obtenus grâce aux arbres de décision avec la profondeur maximale, h, avec ou sans pré-traitement pour les données de test.\n", "\n", "- Constatez-vous une amélioration significative suite au pré-traitement ? Les scores obtenus sont-ils satisfaisants ?" ] }, { "cell_type": "code", "execution_count": null, "id": "4c21cd56", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "3004e1ca", "metadata": {}, "source": [ "## Troisième modèle : Nplus proches voisins\n", "En guise de troisième méthode d’apprentissage, nous allons nous pencher sur la méthode des plus proches voisins [KNeighborsRegressor](https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsRegressor.html)" ] }, { "cell_type": "code", "execution_count": null, "id": "f72f499f", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "9f764f3a", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": ".venv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.20" } }, "nbformat": 4, "nbformat_minor": 5 }