diff --git a/.ipynb_checkpoints/TP1_prog2.py-checkpoint.ipynb b/.ipynb_checkpoints/TP1_prog2.py-checkpoint.ipynb index 72e8780..8750677 100644 --- a/.ipynb_checkpoints/TP1_prog2.py-checkpoint.ipynb +++ b/.ipynb_checkpoints/TP1_prog2.py-checkpoint.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 23, + "execution_count": 1, "id": "530f620c", "metadata": {}, "outputs": [], @@ -40,81 +40,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "Dataset : [[0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " ...\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]]\n", - "Etiquettes : ['8' '2' '9' ... '5' '2' '8']\n", - "Prédiction : ['4' '2' '3' '0' '5' '0' '3' '8' '5' '4' '7' '6' '6' '2' '2' '1' '0' '3'\n", - " '0' '2' '6' '7' '1' '3' '8' '2' '8' '3' '8' '0' '9' '6' '7' '7' '4' '3'\n", - " '4' '8' '6' '9' '8' '8' '3' '2' '6' '3' '4' '2' '1' '2' '7' '1' '0' '6'\n", - " '3' '8' '5' '9' '3' '2' '2' '2' '5' '6' '1' '7' '5' '7' '2' '3' '8' '5'\n", - " '1' '7' '6' '7' '8' '7' '4' '0' '3' '8' '7' '1' '4' '3' '3' '2' '2' '3'\n", - " '1' '1' '0' '6' '3' '9' '1' '0' '7' '5' '6' '2' '1' '0' '2' '5' '9' '2'\n", - " '5' '1' '9' '7' '4' '8' '4' '4' '7' '5' '0' '0' '7' '6' '7' '3' '2' '1'\n", - " '5' '3' '5' '8' '5' '1' '7' '0' '2' '8' '8' '3' '5' '1' '5' '0' '0' '6'\n", - " '0' '5' '3' '4' '3' '9' '7' '3' '5' '5' '5' '7' '2' '0' '5' '3' '5' '8'\n", - " '3' '6' '2' '6' '1' '3' '2' '3' '3' '7' '3' '4' '3' '0' '4' '5' '1' '5'\n", - " '1' '7' '6' '1' '0' '2' '6' '5' '3' '3' '1' '3' '6' '7' '9' '1' '7' '6'\n", - " '2' '5' '2' '6' '2' '3' '3' '3' '1' '3' '7' '7' '6' '8' '3' '1' '4' '5'\n", - " '7' '4' '0' '5' '4' '4' '4' '9' '1' '0' '7' '7' '1' '3' '9' '4' '4' '6'\n", - " '2' '0' '6' '8' '1' '8' '9' '7' '3' '6' '0' '8' '1' '1' '1' '1' '4' '3'\n", - " '0' '6' '3' '1' '3' '7' '1' '0' '8' '4' '5' '7' '5' '3' '9' '5' '0' '2'\n", - " '8' '9' '7' '0' '4' '5' '4' '9' '4' '7' '8' '2' '7' '4' '7' '6' '7' '5'\n", - " '1' '0' '6' '5' '5' '0' '2' '0' '3' '2' '9' '8' '3' '7' '3' '1' '1' '5'\n", - " '8' '2' '6' '6' '0' '2' '0' '2' '1' '2' '1' '7' '0' '6' '4' '9' '7' '5'\n", - " '0' '3' '2' '2' '5' '3' '1' '0' '0' '5' '8' '5' '0' '1' '0' '7' '3' '9'\n", - " '5' '0' '4' '7' '7' '1' '7' '1' '7' '1' '3' '8' '7' '4' '1' '9' '7' '3'\n", - " '2' '7' '4' '7' '0' '6' '9' '7' '1' '2' '1' '5' '0' '7' '8' '0' '3' '2'\n", - " '5' '1' '3' '3' '8' '6' '1' '2' '5' '5' '6' '9' '1' '1' '2' '0' '6' '8'\n", - " '1' '4' '7' '0' '1' '2' '0' '4' '2' '6' '0' '4' '1' '7' '2' '6' '4' '6'\n", - " '5' '3' '6' '0' '4' '2' '9' '7' '9' '1' '6' '9' '2' '8' '1' '7' '7' '6'\n", - " '1' '3' '5' '5' '6' '6' '1' '1' '6' '1' '8' '8' '9' '1' '1' '0' '5' '1'\n", - " '0' '5' '2' '0' '3' '9' '7' '0' '4' '5' '5' '5' '9' '2' '0' '4' '9' '6'\n", - " '0' '7' '5' '8' '3' '8' '3' '9' '6' '4' '6' '5' '7' '4' '6' '8' '8' '0'\n", - " '0' '6' '3' '8' '6' '8' '3' '9' '4' '7' '6' '4' '1' '0' '9' '4' '3' '0'\n", - " '2' '2' '4' '1' '5' '5' '5' '7' '7' '9' '1' '5' '1' '6' '8' '0' '1' '0'\n", - " '3' '3' '0' '8' '3' '5' '3' '6' '3' '8' '6' '8' '4' '3' '5' '3' '4' '6'\n", - " '7' '1' '6' '2' '7' '9' '0' '2' '8' '1' '8' '2' '8' '0' '7' '6' '2' '9'\n", - " '1' '6' '5' '6' '9' '4' '5' '6' '2' '1' '0' '0' '0' '2' '5' '3' '7' '6'\n", - " '5' '8' '8' '8' '6' '5' '4' '3' '4' '3' '3' '6' '1' '0' '3' '3' '1' '9'\n", - " '6' '7' '5' '9' '7' '7' '3' '2' '4' '9' '8' '8' '4' '4' '3' '5' '8' '2'\n", - " '7' '3' '5' '9' '7' '3' '4' '2' '9' '8' '7' '3' '5' '0' '2' '3' '9' '3'\n", - " '0' '0' '1' '7' '2' '1' '1' '9' '5' '3' '6' '0' '9' '7' '1' '2' '1' '0'\n", - " '4' '4' '3' '0' '4' '6' '5' '6' '9' '9' '1' '2' '0' '3' '8' '6' '0' '6'\n", - " '3' '0' '7' '3' '4' '0' '1' '8' '9' '0' '7' '4' '1' '2' '2' '0' '1' '3'\n", - " '5' '0' '5' '0' '9' '8' '2' '7' '6' '3' '6' '2' '5' '2' '9' '1' '4' '3'\n", - " '5' '5' '2' '7' '8' '1' '8' '9' '2' '9' '3' '4' '5' '5' '5' '3' '4' '4'\n", - " '3' '7' '6' '1' '2' '4' '7' '9' '6' '9' '7' '1' '8' '8' '2' '7' '1' '3'\n", - " '9' '6' '1' '5' '9' '5' '7' '6' '9' '3' '7' '1' '9' '1' '8' '0' '7' '5'\n", - " '8' '0' '5' '3' '2' '7' '6' '8' '4' '7' '6' '0' '1' '4' '2' '9' '9' '4'\n", - " '3' '8' '5' '3' '1' '2' '0' '1' '8' '6' '4' '2' '7' '3' '3' '7' '8' '0'\n", - " '5' '6' '3' '9' '6' '5' '5' '1' '8' '4' '5' '2' '3' '8' '7' '6' '4' '2'\n", - " '3' '8' '6' '9' '9' '6' '1' '1' '5' '6' '2' '7' '9' '0' '0' '5' '0' '0'\n", - " '9' '9' '7' '3' '1' '0' '3' '2' '7' '1' '8' '4' '9' '2' '9' '9' '5' '8'\n", - " '1' '3' '8' '6' '7' '4' '8' '0' '7' '7' '4' '6' '6' '1' '2' '3' '9' '1'\n", - " '2' '5' '5' '1' '1' '9' '5' '0' '1' '8' '0' '4' '3' '0' '9' '1' '9' '0'\n", - " '3' '0' '5' '9' '0' '1' '0' '1' '3' '8' '2' '1' '1' '8' '7' '9' '3' '0'\n", - " '2' '6' '9' '9' '1' '5' '5' '4' '6' '7' '5' '1' '6' '3' '2' '6' '9' '8'\n", - " '2' '6' '0' '0' '8' '3' '7' '8' '2' '4' '7' '7' '1' '7' '7' '4' '3' '2'\n", - " '2' '9' '4' '1' '8' '1' '0' '2' '1' '1' '8' '6' '6' '1' '4' '2' '2' '9'\n", - " '9' '8' '6' '8' '8' '8' '7' '1' '7' '4' '5' '1' '0' '0' '0' '5' '4' '9'\n", - " '3' '0' '6' '7' '3' '0' '0' '4' '8' '6' '5' '9' '1' '5' '3' '6' '5' '3'\n", - " '1' '4' '8' '4' '7' '6' '3' '7' '6' '3']\n", - "Probabilités : [[0. 0.1 0. ... 0.1 0. 0.1]\n", - " [0. 0. 0.8 ... 0.2 0. 0. ]\n", - " [0. 0. 0. ... 0. 0. 0. ]\n", - " ...\n", - " [0. 0. 0. ... 1. 0. 0. ]\n", - " [0. 0. 0. ... 0. 0. 0. ]\n", - " [0. 0. 0. ... 0. 0. 0. ]]\n", - "Classe image 4 : 5\n", - "Classe prédite image 4 : 0\n", - "Score échantillon de test : 0.932\n", - "Score données apprentissage : 0.92575\n" + "Classe image 4 : 7\n", + "Classe prédite image 4 : 3\n", + "Score échantillon de test : 0.907\n", + "Score données apprentissage : 0.93375\n" ] } ], @@ -123,9 +52,9 @@ "rand_indexes = np.random.randint(70000, size=5000)\n", "### Load data with the previous vector\n", "data = mnist.data[rand_indexes]\n", - "print(\"Dataset : \", data)\n", + "# print(\"Dataset : \", data)\n", "target = mnist.target[rand_indexes]\n", - "print(\"Etiquettes : \", target)\n", + "# print(\"Etiquettes : \", target)\n", "\n", "### Split the dataset for training and testing\n", "# xtrain data set d'entraînement et ytrain étiquettes de xtrain\n", @@ -139,10 +68,10 @@ "clf.fit(xtrain, ytrain)\n", "# Predicting with xtest\n", "pred = clf.predict(xtest)\n", - "print(\"Prédiction : \", pred)\n", + "# print(\"Prédiction : \", pred)\n", "# Predicting probabilities with xtest\n", "pred_proba = clf.predict_proba(xtest)\n", - "print(\"Probabilités : \", pred_proba)\n", + "# print(\"Probabilités : \", pred_proba)\n", "# Computing the score with xtest,ytest\n", "score = clf.score(xtest, ytest)\n", "print(\"Classe image 4 : \", target[3])\n", @@ -154,7 +83,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 18, "id": "90db6e29", "metadata": {}, "outputs": [ @@ -162,34 +91,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "Computing for k = 2\n", - "Computing for k = 3\n", - "Computing for k = 4\n", - "Computing for k = 5\n", - "Computing for k = 6\n", - "Computing for k = 7\n", - "Computing for k = 8\n", - "Computing for k = 9\n", - "Computing for k = 10\n", - "Computing for k = 11\n", - "Computing for k = 12\n", - "Computing for k = 13\n", - "Computing for k = 14\n", - "Computing for k = 15\n", - "2 : 0.9186000000000001\n", - "3 : 0.9294\n", - "4 : 0.9268000000000001\n", - "5 : 0.926\n", - "6 : 0.925\n", - "7 : 0.9236\n", - "8 : 0.9244\n", - "9 : 0.9232\n", - "10 : 0.922\n", - "11 : 0.921\n", - "12 : 0.9198000000000001\n", - "13 : 0.9194\n", - "14 : 0.9176000000000001\n", - "15 : 0.919\n" + "Computing for k = 2 ...\n", + "Computing for k = 3 ...\n", + "Computing for k = 4 ...\n", + "Computing for k = 5 ...\n", + "Computing for k = 6 ...\n", + "Computing for k = 7 ...\n", + "Computing for k = 8 ...\n", + "Computing for k = 9 ...\n", + "Computing for k = 10 ...\n", + "Computing for k = 11 ...\n", + "Computing for k = 12 ...\n", + "Computing for k = 13 ...\n", + "Computing for k = 14 ...\n", + "Computing for k = 15 ...\n", + "Done\n" ] } ], @@ -210,58 +126,64 @@ "# Initialisation des métriques\n", "all_scores = []\n", "k_scores = []\n", - "all_times = []\n", - "k_times = []\n", + "all_training_times = []\n", + "k_training_times = []\n", + "all_predicting_times = []\n", + "k_prediction_times = []\n", "\n", "# Fais varier le nombre de voisins de 2 à 15\n", "for k in range(2,16):\n", - " print(\"Computing for k =\", k)\n", + " print(\"Computing for k =\", k, \"...\")\n", " k_scores = []\n", - " k_times = []\n", + " k_training_times = []\n", + " k_prediction_times = []\n", " # Boucle sur chaque paire de jeu de données entraînement/test\n", " for train_index, test_index in kf.split(data):\n", " X_train, X_test = data[train_index], data[test_index]\n", " y_train, y_test = target[train_index], target[test_index]\n", " \n", - " t1 = round(time.time(),3)\n", + " t1 = round(time.time(),5)\n", " clf = neighbors.KNeighborsClassifier(k)\n", " # On entraîne l'algorithme sur xtrain et ytrain\n", " clf.fit(X_train, y_train)\n", - " t2 = round(time.time(),3)\n", + " t2 = round(time.time(),5)\n", " # On prédit sur xtest\n", " pred = clf.predict(X_test)\n", + " t3 = round(time.time(),5)\n", " # Probabilités des prédictions sur xtest\n", " pred_proba = clf.predict_proba(X_test)\n", " # On calcule le score obtenu sur xtest avec les étiquettes ytest\n", " # et l'ajoute à la liste des scores\n", " k_scores.append(clf.score(X_test, y_test))\n", - " k_times.append(t2-t1)\n", + " k_training_times.append(t2-t1)\n", + " k_prediction_times.append(t3-t2)\n", " all_scores.append(k_scores)\n", - " all_times.append(k_times)\n", + " all_training_times.append(k_training_times)\n", + " all_predicting_times.append(k_prediction_times)\n", "print(\"Done\")" ] }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 23, "id": "79d055d6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Text(108.0, 0.5, 'Times')" + "Text(108.0, 0.5, 'Predicting times (in ms)')" ] }, - "execution_count": 72, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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Adu3asXjxYt0k5Wfr12e+fMcOuOiig+9PPvlgwqFatcxfh26iCwv9/oiIiIhIkHIzyTAdGGNm7YH/mNlrzrnrzawdcBlQChhgZk3xvRs+MLNnnXP9QttfDXQBMLN6wH2h5XPSJxikcGnRogVr1qxh7dq1VK1alWnTpvHGG2+kabNz505KlixJiRIlGD9+PK1btyYqKgrnHD179iQmJoZ+/fql2ebKK6/k008/5dxzz2X16tXs27eP8uXL07ZtW5588kl2795NiRIl+Pzzz7n77rvz8pQlu3bsgIcf9kMkMlOlCkydCgkJ/rFhw8HXS5bAli0Zt4mKOnwi4uSTc/W0cpJ+f0REREQkSLmWZHDO/QXcFLZoSmj5R8BHYct/xfd4SL/9FWGvVwE9cidSyW8iIyMZM2YMbdu2JTk5mR49ehAbG8vYsWMB6N27NytWrKB79+4UK1aMBg0aMGHCBAC+/PJLXnvtNRo1akRcXBzgK+m3a9eOHj160KNHDxo2bEiJEiWYNGkSZkaZMmXo168fLVq0wMxo164d7du3D+r0JTNJSfDSSz7BsHMnXHghzJsHf/99sE3JkvDkk9C6ddb72bcPNm1Km3wIf710qU9EpE9inHRS9hIR6YYlBEG/PyIiIiISJMts/G5B17x5c7dw4cKgwxCRnPDpp77WwrJlcP75MHIkNGrkizwOGuSHTlSvDkOGQLduh93dYe3bB5s3Z56ISHn+9deMiYhSpQ6dhKhWLd8kIkREREREjoWZLXLONc90nZIMIpIvxcdD//4wfbqfovKZZ6BDh/xxk75/v+8RkVlviJTXmzdnTESceOLhExGlS+ePcxQRERERycKhkgy5WZNB5Ojk1jfUUjD89RcMHw5PPQXFisHjj0O/fnDCCUFHdlDx4lCjhn9kZf9+n2jIKhExa5ZffyBdiZmSJQ+fiChTJutEhH5/RERERCRASjJI/jJlCvTqdXB6wnXr/HvQjVJh5xxMmwb33utvxK+9Fp54wt9YF0TFi/ub/ENNqZuUdOhExOzZvsdE+kTECSdknnz46Sd4/nnYs8e30++PiIiIiOQxDZeQ/KVmTX9jlF6NGr77vBROixfDnXfCl19Cs2bw3HNw5plBR5U/JCX5GhCHGpqxaRMkJ2e9j1NO8b9XJUrkXdwiIiIiUmhpuIQUHOvXZ7583Tpf9b9SpbyNR3LX1q2+a/+ECVC+PLz8Mtx0kx8mIV5k5MHeCllJTvaJiGrVMp/e89dffdHJ006DVq3844wz/JSfIiIiIiI5KCLoAETSqFAh63U1asBtt8HatXkXj+SO/fthxAg49VR49VW4+25YswZuvlkJhqNRrBhUrZr10Izy5eHWW/2wi+eeg06dfPsaNaBLFz9jx7ff+pk1RERERESOgZIMkn/8+qsfS56+oF3JkvD009C9u//Gu25dP778hx+CiVOOzcyZ0LixL+bYqpX/HJ95xn/TLsdmyBD/+xKuZEmfRHj2WfjqK/jjD/j6a5/kOeMMv+zuu/3rqCg/TKV/f3jnHdi4MZDTyG0zZ86kXr161KlTh+HDh2dYn5iYSIcOHWjcuDEtW7Zk2bJlAGzYsIHzzjuPmJgYYmNjGTVqVOo2gwcPpmrVqsTFxREXF8dHH32UZ+cjIiIikp+oJoPkD8nJcNFF/ubnkUfgxRczr46/aZO/ORo7FnbtgvbtYeBAOOusYOOXw1uzxicWPvgA6tTxn2P79pquMacdzewSGzfCN9/4379vvoGFC2HvXr8uOjrtEItmzeC443L/PHJJcnIyp556KrNmzSI6OpoWLVowdepUGjRokNpmwIABlCpVikceeYSVK1fSp08fZs+ezebNm9m8eTPNmjXjzz//5LTTTuO9996jQYMGDB48mFKlSnHPPfcEeHYiIiIieUM1GST/+9e/4NNP4ZVX/Jj8++7LvF2VKn5qwwce8FX0R42Cs8/2SYaBA6FdO9205jd//OFvdEeM8DenTzwBffsW6BvVfK1btyOfSaJqVT+EolMn/37fPliy5GDS4euv4e23/boSJXyi4YwzDiYfoqMLzO/d/PnzqVOnDrVr1wagS5cuzJgxI02SYfny5dx///0A1K9fn/j4eLZs2ULlypWpXLkyACeddBIxMTFs3LgxzbYiIiIiRZ2GS0jwZs+Gxx7zwyFuvDF725QpAw8+6AtCPvec/9b20kuhSRN44w1fkV+CdeCAr7dQrx48+aS/8V2zxk9RqQRD/laiBLRs6ZNBU6f6mV02bYLp0/2yyEjfm6hzZ99bIjoarrrKD3v58suDU2jmQxs3bqRatWqp76Ojo9mYblhIkyZNmD59OuCTEuvWrSMhISFNm/j4eL777jtOP/301GVjxoyhcePG9OjRg8TExFw8CxEREZH8S0kGCdbmzXDttRATAy+8cOTfhpYsCXfcAT/9BJMm+WEX3br5goIvvpivb3YKtW+/9d9w33STLy747bcwcaKfSlEKpsqVoUMHnzCaO9f3UFmwwCf5zj3XT0N6zz2+V1FUFJx+uk9ITJvmk4H5ZGheZkMELd2/OwMHDiQxMZG4uDhGjx5N06ZNiYw82PFv165ddOrUiZEjRxIVFQXArbfeys8//8ySJUuoXLky/fv3z90TEREREcmnVJNBgpOUBBdeCPPn+5uVnOhyfOAA/Oc/MGyYv7GtVAnuustX1ldhwdy3ebMftjJ5sr8pfeIJn/SJUD6zSPj1Vz+8ImWIxYIF8Pfffl3lymmHWJx2GpxwQp6H+PXXXzN48GD++9//AjBs2DCA1OER6TnnqFWrFkuXLiUqKor9+/dz6aWX0rZtW/r165fpNvHx8Vx66aWpBSNFRERECptD1WTQX/4SnMcegzlzfA+GnBrTHBEBV1zhb3A++wzi4uD++32X7vvv9zdBkvP27oXhw30PkmnTfKJh1Sq4/nolGIqSU06BK6/0Pwuffw6//w6LFsGYMXD++fD99364zNln+94OLVrAnXf6IU5r1+ZJb4cWLVqwZs0a1q5dy759+5g2bRqXX355mjY7d+5kX2g6z/Hjx9O6dWuioqJwztGzZ09iYmIyJBg2b96c+vrdd9+lYcOGuX4uIiIiIvmRejJIMD75BC6+2NdgeOWV3D3W4sX+G/W33/ZjzXv08N26Q4Xf5Bg453uO9OsHP//sEzxPP+1njxDJzNataWeymD8fdu/26ypVStvboXnzjFNy5oCPPvqIu+66i+TkZHr06MGgQYMYO3YsAL179+brr7+me/fuFCtWjAYNGjBhwgTKlCnDvHnzOPvss2nUqBERoeTZ0KFDadeuHddffz1LlizBzKhZsyYvvfRSapFIERERkcLmUD0ZlGSQvLdpk+9hULGiv8HIhZuITK1Z42emmDTJD9Xo0sXPYtG4cd4cv7BZscIPRfnkE19TY9QoP/xF5EgkJcEPPxxMPHz9ta+xAlCsmC/mmjJ9ZqtWPjlYQGayEBERESmslGSQ/CMpCdq08V2oFyzwN6d5bdMmP53i2LGwaxe0b++79591Vt7HUhDt3AmDB/su8KVKwaOPwm23QfHiQUcmhcW2bb6mSkrSYf58+Osvv65ChbS9HVq0gBNPDDZeERERkSJGSQbJPwYNgqFD4bXX4Lrrgo0lMRGef95/A799O5x5pq/b0K6dvinNTHIyTJjgP8MdO6BXL/jXv/xNn0huSk6GZcsODrH4+mtYvdqvK1YMGjVK29uhTp20v8NTpvif2/XrfX2WIUN8QVIREREROSqBJBnM7ETgBWAfMMc5NyW0vDPQHtgPPA0cAO4Djge+d849YWaDgRggEXjMObfJzIYDJYHdzrmBhzq2kgz51MyZcMklcPPN8PLLQUdz0O7d/ub56af9TUijRr5nwzXXQNi0dUXa3Ll+OsLvvvNF+557zg95EQnKjh1pezt8+63vmQRQrtzBhMNff8HIkQdnuQA/RGvcOCUaRERERI5SUEmG64Gdzrn/mNmbzrnOoeVvAd2AMsBQ59zNYdtMd851NLMHgXrATnwCojzQ1znX38yeAp5zzm3I6thKMuRDCQnQtKmfxu7bbwOZuu6w9u+HqVN9kcjly6FWLRgwwBenzI/x5oUNG/xsANOmQbVqvqbFNdeop4fkP8nJ/vc2JenwzTewcmXW7WvUgPj4PAtPREREpDAJagrLaCAlEZActvxpYDRwGz7RAICZdQE+Cb0d6py7HpgF3AxUDdvX+tC+0zCzXma20MwWbtu2LSfPQ45VUhJ07Qp79vgZHvLrDXvx4tC9uy9C9957vjDlbbf5ZMPw4X46vqLi77/9FKP16vlr8fDD/oatc2clGCR/Shk20asXTJzoC5Pu2JH1z+v69Xkbn4iIiEgRkZtJhgQOJgNSj+Ocm++c6w28TihxEEow1HDOjQ21ORBqvhUoBWwM21e10L7TcM6Nc841d841r6Ax4vnLgw/CvHm+e3K9ekFHc3gREX4qxq+/hs8+88MC7r/fj+W+/3749degI8w9zsE77/iCnI88Apde6pMLjz6ad7OAiOSUsmX9721mslouIiIiIsckN5MM04FOZvYi8B8zew3AzNqFlj0CDDezpvjeDbXM7NlQmwdCbfoDE51z64H9ofXJhxoqIfnMRx/54Qe9evneDAWJGZx7rq8lsWgRXHyxP5eaNX0Ph19+CTrCnLV0KZx/Plx9NZx8sk+wvPWW71YuUlANGZJ5gqxt27yPRURERKQI0OwSkns2bPC9AKpV870C8uswiSOxZo2vSzBpkh8G0qUL3HcfNG4cdGRHb8cOeOgheOklKF0aHn8cbrlFRS+l8AifXSI62ifRli3z09j+859BRyciIiJS4ARVk0GKsv37/fj9ffvydx2GI1W3rh/2sXYt9OsH778PTZr4YQXz5gUd3ZFJSoIxYw6eU58+Poly661KMEjh0q2bL/J44IBPNCxYAO3bQ+/efgpbEREREckxSjJI7hg0yPdeGD/e38QWNlWq+B4N69fDv/7lZ8w4+2w46yz48ENf2yCHzZw5k3r16lGnTh2GDx+eYX1iYiIdOnSgcePGtGzZkmXLlgGwYcMGzjvvPGJiYoiNjWXUqFEwezbExfHQHXfQeP9+4urU4aKVK9m0Zw8As2bN4rTTTqNRo0acdtppfPrppzl+PiKBOf54mD4dOnSAu+6CJ58MOiIRERGRQkPDJSTnffABXHaZ/0b8hReCjiZv7N4NEybA00/7xEOjRjBwoJ/uMQd6BSQnJ3Pqqacya9YsoqOjadGiBVOnTqVBgwapbQYMGECpUqV45JFHWLlyJX369GH27Nls3ryZzZs306xZM/784QdOa9WK9/76iwa1avHH448T1bUrmPHcc8+xfPlyxo4dy3fffUelSpWoUqUKy5Yto23btmzcuPGYz0MkX9m/388oM22aL2760EOaPUVEREQkGzRcQvLOunX+j/amTeHZZ4OOJu+ULAl33AE//eTrNSQn+y7ap54KL77op4Q8BvPnz6dOnTrUrl2bEiVK0KVLF2bMmJGmzfLly2nTpg0A9evXJz4+ni1btlC5cmWanXoqPPggJ7VoQcyePWy86SZYvpyoa69Nvan666+/sNDrpk2bUqVKFQBiY2PZs2cPe/fuPaZzEMl3iheH11+HG27ws6kMGpQrvZBEREREihIlGSTn7Nvn6zAkJflZCY4/PuiI8l7x4j7J8sMP8N57ULGin4miVi0YPhx+//2odrtx40aqVauW+j46OjpDz4ImTZowffp0wCcl1q1bR8KGDb7oXf36MGQI8RdfzHeVKnH6yJGpn8+gQYOoVq0aU6ZM4bHHHstw7H//+980bdqU44477qhiF8nXihWDV17xM+AMGwb9+yvRICIiInIMlGSQnHP//b42wSuvQJ06QUcTrIgIuOIKX5fis8/8LBv33w/Vq/vnX389ot1lNqzJ0nXrHjhwIImJicTFxTF69Gia1qtH5M03w3XXwSmnsGvWLDpt2MDI0aOJiopK3W7IkCFs2LCBbt26MWbMmDT7/PHHH7nvvvt46aWXjihekQIlIsLPNHHnnTBihC+CeuBA0FGJiIiIFEhKMkjOmDHDD4+4/Xa46qqgo8k/zODcc2HmTFi0CC6+GJ54AmrW9D0cfvklW7uJjo5mw4YNqe8TEhJShzOkiIqKYuLEiSz55BMmlyjBtuXLqbVxI0yYwP4vv6TTU0/RrVs3OnbsmOkxrr32Wv7973+nOUaHDh2YPHky//jHP4741EUKFDMYORIGDPBDnG65xQ97EhEREZEjoiSDHLv4eLjxRjjtNF/4UDLXrBm8+SasWuWHVEyY4Gfe6NYNli495KYtWrRgzZo1rF27ln379jFt2jQuv/zyNG12bt3KvieegLp1Gf/qq7Ru0ICon37C3XQTPW+5hZiYGPr165dmmzVr1qS+fv/996lfv77f186dtG/fnmHDhnHmmWfm0AUQyefMfBLw4Yd9j6wbbvDDv0REREQk2zS7hBybffv81I2rVsHixVC7dtARFRybNvmu2WPHwq5d0L69n5HirLMybf7RRx9x1113kZycTI8ePRg0aBBjx44FoHeNGnzduzfd16+n2Ikn0uD//o8Jb75JmTJlmDdvHmeffTaNGjUiIsLnFYcOHUq7du3o1KkTq1atIiIigho1ajB27FiqVq3K448/zrBhw6gbNv3oJ598QsWKFXP/uojkB0OH+kKQV10Fb7zh662IiIiICHDo2SWUZJBjc9ddMGoU/PvfkEU3fDmMxER4/nl/HbdvhzPP9HUb2rU7/HR6a9bA3XfDhx/6XhEjR/rtROTYPfusLwR5+eW+mK2Kn4qIiIgAmsJScsu77/ob4zvvVILhWJQpAw8+6Kf/fO452LABLr0UmjTx36AmJfkZImrW9AXqataE8ePh3nshNha++AKeegqWLVOCQSQn9esHY8bA++/DlVce81S0IiIiIkWBejLI0fnlF19j4NRTYd48KFEi6IgKj/37YepUPzZ8+XIoXx7++MMPTUnvppt8t+5TTsn7OEWKigkTfCHI887zCYcTTww6IhEREZFAqSeD5Ky9e+Gaa3xX/jffVIIhpxUv7gtD/vADvPde1gmGU07xxemUYBDJXT17wuTJMGeOnyHmjz+CjkhEREQk31KSQY7cgAF+OsaJE6FWraCjKbwiIuCKK3zPhsxs2ZK38YgUZdddB9OmwTffwIUX+loqIiIiIpKBkgxyZN55B0aP9sUGr7wy6GiKhurVj2y5iOSOq6/2/wZ+9x20aQM7dgQdkYiIiEi+oySDZN/PP/tuwy1bwvDhQUdTdAwZAiVLpl1WsqRfLiJ564orYMYMWLECzj1XPYpERERE0lGSQbJnzx7/LV6xYn4qN9VhyDvdusG4cVCjhq+DUaOGf9+tW9CRiRRNl1wCH3zgC+Cecw5s3Bh0RJJDZs6cSb169ahTpw7DM0mmJyYm0qFDBxo3bkzLli1ZtmwZABs2bOC8884jJiaG2NhYRo0albrN22+/TWxsLBEREaQvSr106VJatWpFbGwsjRo1Ys+ePbl7giIiInlASQbJnv79fRfhSZP8Ta7krW7dID4eDhzwz0owiASrTRuYOdMnGM45B9avDzoiOUbJycn06dOHjz/+mOXLlzN16lSWL1+eps3QoUOJi4tj6dKlTJ48mb59+wIQGRnJM888w4oVK/jmm294/vnnU7dt2LAh06dPp3Xr1mn2lZSUxHXXXcfYsWP58ccfmTNnDsWLF8+bkxUREclFuZZkMLMTzWySmb1sZt3Clnc2s8lmNsHMYsysnpm9YmZvmNl9oTYDQ9v9x8yiQ8t+NrOxZtYrt2KWLLz5Jrzwgk80XHZZ0NGIiOQPZ58Ns2bB9u3QurXv2SAF1vz586lTpw61a9emRIkSdOnShRkzZqRps3z5ctq0aQNA/fr1iY+PZ8uWLVSuXJlmzZoBcNJJJxETE8PGUA+XmJgY6tWrl+F4n3zyCY0bN6ZJkyYAlCtXjmLFiuXmKYqIiOSJ3OzJ0BF4xzl3C3B52PJOQE/gfqC/c26Vc66Hc+5a4HQA59zw0HavAOeFttsFnABsyMWYJb01a/z88K1awbBhQUcjIpK/nHEGfPop/PmnTzSsWhV0RHKUNm7cSLVq1VLfR0dHpyYKUjRp0oTp06cDPimxbt06EhIS0rSJj4/nu+++4/TTTz/k8VavXo2Z0bZtW5o1a8aTTz6ZQ2ciIiISrNxMMkRzMCGQHLb8aWA0cBtQJmWhmXUBPgl7Xwq4BngvtKgp0APom9nBzKyXmS00s4Xbtm3LoVMo4vbsgWuugeLF/dRt6sYpIpJRs2YwZw7s2+eHTvz4Y9ARyVFwzmVYZmZp3g8cOJDExETi4uIYPXo0TZs2JTIyMnX9rl276NSpEyNHjiQqKuqQx0tKSmLevHlMmTKFefPm8e677zJ79uycORkREZEA5WaSIQGfaEhzHOfcfOdcb+B1QkmIUIKhhnNubOh9FPAicK9z7s/Qdgecc8nAHjPLELdzbpxzrrlzrnmFChVy8bSKkLvugiVLYPJkTZcoInIojRrB559DRISfdWLJkqAjkiMUHR3Nhg0HO0smJCRQpUqVNG2ioqKYOHEiS5YsYfLkyWzbto1atWoBsH//fjp16kS3bt3o2LFjto53zjnnUL58eUqWLEm7du1YvHhxzp6UiIhIAHIzyTAd6GRmLwL/MbPXAMysXWjZI8BwM2uK791Qy8yeDW37KlAaGGRm54fVbXgFmOOcO5CLcQvA1Knw0ktw773Qvn3Q0YiI5H8xMfDFF3DCCXD++bBgQdARyRFo0aIFa9asYe3atezbt49p06Zx+eWXp2mzc+dO9u3bB8D48eNp3bo1UVFROOfo2bMnMTEx9OvXL1vHa9u2LUuXLmX37t0kJSXx+eef06BBgxw/LxERkbxmmXUPLOiaN2/u0k8TJUdg1Spo3hyaNIHPPtMwCRGRIxEf75MMO3bARx/BmWcGHZFk00cffcRdd91FcnIyPXr0YNCgQYwdOxaA3r178/XXX9O9e3eKFStGgwYNmDBhAmXKlGHevHmcffbZNGrUiIgI//3N0KFDadeuHe+++y533HEH27Zto3Tp0sTFxfHf//4XgNdff51hw4ZhZrRr1051GUREpMAws0XOueaZrlOSQdL4+29fyGzjRt/dNzr6sJuIiEg6CQk+0bBpE3zwgR9CISIiIlJIHCrJkJvDJaQg6tsXli6F115TgkFE5GhFR/saDTVqwCWXwCefHH4bERERkUJASQY5aMoUePlluP9+/0exiIgcvcqV/awT9erBZZf5Hg2Sf02ZAjVr+uKdNWv69yIiInLElGQQb+VK+Oc/4eyz4bHHgo5GRKRwqFABPv0UGjeGjh1h+vSgI5LMTJkCvXrBunXgnH/u1UuJBhERkaOgJIPA7t1w9dVQsqSfVSJszm8RETlGZcvC//7nC+pec43/d1byl4ED/f+F4XbvhkGDgolHRESkAFOSQeCOO+DHH+H116Fq1aCjEREpfE4+Gf77XzjrLOjWDV59NeiIBGDbNp9gSEjIfP26dZCcnLcxiYiIFHBKMhR1kyfDK6/AAw/ARRcFHY2ISOF10kl+SssLLoCbboJx44KOqOjatg3uuw9q1YInn/Q9+bISFwczZ/phFCIiInJYSjIUZcuXw623wjnnwODBQUcjIlL4lSwJ778P7dv7OjjPPRd0REXL1q1w772+sOPTT8OVV/r/C8eNy5hoKFkS7rzTT+18ySXQti18/30QUYuIiBQoSjIUVX/95eswlCqlOgwiInnp+ON9AcgOHfy0wU8+GXREhd/WrTBggO+58Mwzvgjn8uV+mGD9+n4Iy7hxfspRM/88bhyMGuXbjRwJixZB06a+F0pWwytEREQEc4Ww+1/z5s3dwoULgw4jf7vpJpg0yc/dfsEFQUcjIlL07N8P3bvDtGnw6KPw0EP+BldyzpYt8NRT8MILsHevTyY8+CCceuqR72vnThg61CceihWD/v19r4iTTsrxsEVERPI7M1vknGue2Tr1ZCiKXn3VPx56SAkGEZGgFC/uv0m/4QZ45BF/81sIE/+B+PVXnwSoVQtGjPA991as8HWIjibBAFC6tO91smqVH2bx+ONQpw6MHQtJSTkZvYiISIGmJENRs2wZ3HYbnHcePPxw0NGIiBRtxYr54ru33OK/Jb/nHiUajsWvv0K/flC7th/icPXVsHKl77l3tMmF9GrWhDfegPnz/VCLW2+Fxo3hgw/02YmIiKAkQ9Gya5f/gysqyv+BVKxY0BGJiEhEBLz0kp9O+Nln4fbb4cCBoKMqWDZvhrvv9j0XnnsOrrnmYHKhbt3cOWaLFjBnDrz3np/m8rLL4Pzzfe0GERGRIkxJhqLCOd+DYfVqn2A45ZSgIxIRkRRmfqz/gAG+fkCvXv7GVQ5t82a46y7fc2H0aOjSxScXXn0195IL4czgiit8L8Hnn/fPzZvD9dfD+vW5f3wREZF8SEmGouKVV+C11/y43/PPDzoaERFJzwyeeMLXy5kwAW68UWP9sxKeXBgzBrp29bUSJk70dRLyWvHiPpH/009w//3wzjt+eMbAgfD773kfj4iISICUZCgKfvjBd7+94AIYNCjoaEREJCtm8Nhjvqjg66/Dtdf6WSjE27TJT/tZq5ZPLlx7re+h98or8I9/BB0dnHyyr62xejV07uwLRdap43tZ6HMUEZEiQkmGwu7PP30dhtKl/R+sqsMgIpL/DRoEzzwDb7/t/w3fuzfoiIK1cSPceafvufDCC3Dddf5GfsIEvyy/qVbN14NYuNAXhbzzToiNhXffVXFIEREp9JRkKMycg969Yc0amDoVKlUKOiIREcmufv38t/UzZvgpE//+O+iI8t7Gjb4g5j/+AS++6GsdrF4N48fnz+RCes2awf/+Bx9+6IdUdOwIrVvDt98GHZmIiEiuybUkg5mdaGaTzOxlM+sWtryzmU02swlmFmNm9czsFTN7w8zuC7VpaGZTQo+GoWXDzew5MxueWzEXOuPH+yKPjz4K554bdDQiInKk+vSBl1+G//4XLr0U/vor6IjyRkKCH+ZXuzaMHQvdu/uE+csv+6ESBYkZtGsH33/vZxFZswbOOMMXqVy7NujoREREcly2kwxmdoKZ1TuCfXcE3nHO3QJcHra8E9ATuB/o75xb5Zzr4Zy7Fjg91KYv0Ae4DbjDzKoDxZ1zdwLFzKzaEcRRNH3/vf/256KL4IEHgo5GRESO1s03+673c+bAxRfDH38EHVHu2bDBJ1b+8Q9/Q37jjf6mfNw4qFkz6OiOTWSknzVkzRp4+GF4/32oXx/694fffgs6OhERkRyTrSSDmV0GLAFmht7Hmdn7h9ksGtgQeh0+D9fTwGh8AqFM2DG6AJ+E3p7snNvpnPsdOAmoGrav9aF9p4+xl5ktNLOF27Zty85pFV5//OHH8JYr52eUiNCoGBGRAu366/2wt2++8cnjnTuDjihnbdjgZ2eoU8f3VkhJLrz0UsFPLqR30km+h+GaNb62xIgR/rxHjFDtDRERKRSye/c5GGgJ7ARwzi0Bah5mmwQOJgNSj+Ocm++c6w28TihxEEow1HDOjQ01+93MTjazKOBPYGPYvqqF9p2Gc26cc665c655hQoVsnlahZBz/puSn3/2f5BWrBh0RCIikhOuucZPjbh4sZ+KeMeOoCM6duvXw623+p4L48fDTTcV3uRCelWr+sKVS5ZAy5a+BkeDBr7Yp4pDiohIAZbdJENSqFfBkZgOdDKzF4H/mNlrAGbWLrTsEWC4mTXF926oZWbPhrYdBTwHjAFGO+fWA/tD65OdcxvSH0xCXnoJ3nzTT3/WunXQ0YiISE664gpfCHL5cjjvPNiyJeiIjs66db4wcZ06/ka7Z0/46Sdff6FGjaCjy1uNG8PMmb7uRqlSPpn0f/8HX34ZdGQiIiJHxVw2suVmNgGYDQzE11S4E18joXfuhnd0mjdv7hYuXBh0GHnvu++gVSv/h+eHH2qYhIhIYTV7Nlx2mb8hnz0bqlQJOqLsWbcOhg2DV17xBRF79oSBA6F69aAjyx+Sk2HyZHjwQdi0CTp1guHDfTJGREQkHzGzRc655pmty+5d6B1ALLAXeAP4HbgrR6KTnJFSh6F8edVhEBEp7Nq08d98JyT4Xmvr1wcd0aGtWwf//CfUrQsTJ8Itt/ieCy+8oARDuGLF/JCR1avhscd8D4eYGOjbF7ZvDzo6ERGRbDnsnaiZFQPed84Ncs61CD0edM7tyYP4JDuc89XH4+Nh2jSfaBARkcLt7LNh1ix/89m6NfzyS9ARZRQf7+sE1akDr756sGbQ889DNU0UlaUTT4SHHvKJmJ49YcwYfw2fegr26M8vERHJ3w6bZHDOJQO7zezkPIhHjsYLL/hCUUOGwFlnBR2NiIjklTPO8MMl/vzTJxpWrz6q3cycOZN69epRp04dhg8fnmF9YmIiHTp0oHHjxrRs2ZJly5alruvRowcVK1akYcOGBzdYu5YlHTtyRq1axI0fT/MyZZj/zjv+Zjk6wwRRkpVTTvF1Kn74wf//fu+9ftrLN96AAweCjk5ERCRT2e1Tvwf4wcwmmNlzKY/cDEyyadEiX5G6XTsYMCDoaEREJK+ddhp89hns2+cTDT/+eESbJycn06dPHz7++GOWL1/O1KlTWb58eZo2Q4cOJS4ujqVLlzJ58mT69u2buu7GG29k5syZ/s3atb5n3amncu977/HIZZexZMMGHnv1Ve595pljPtUiq0ED+OADn1AqWxa6dYPTT4fPPw86MhERkQyym2T4EHgI+AJYFPaQIP3+u69CXbGiLxSlOgwiIkVT48b+hjMiAs4910+LmE3z58+nTp061K5dmxIlStClSxdmzJiRps3y5ctp06YNAPXr1yc+Pp4toZktWrduTdldu2DjRjj1VHj9dbjtNqx1a/7o1g2qVuX333+nSkEpTpmfnX8+LFzo/8//9Vf/WV9xBaxcGXRkIiIiqbJ1V+qcmwRM5WBy4Y3QMgmKc9Cjhy/29eabUK5c0BGJiEiQYmLgiy/ghBP8zeiCBdnabOPGjVQLq48QHR3Nxo0b07Rp0qQJ06dPB3xSYt26dSQkJPj6Cj16+FmNfv8dbrvN14YYNYqRL77IgAEDqFatGvfccw/Dhg3LuXMtyiIi4Prr/dCYYcN8L5aGDf2137o16OhERESyl2Qws3OBNcDzwAvAajNrnXthyWGNGQPTp/s/MP7v/4KORkRE8oM6dXyioXRpuOAC+Oqrw26S2VTWZpbm/cCBA0lMTCQuLo7Ro0fTtEEDIh97DOrVg6lT4YYbfC+GUaNSp9N88cUXGTFiBBs2bGDEiBH07NkzR05RQk44wU//+dNP0Ls3jBvnP/+hQ2H37hw7TI7X6wA6d+5MXFwccXFx1KxZk7i4uNR1S5cupVWrVsTGxtKoUSP2qNCliEiBk93+9c8AFznnznHOtQbaAiNyLyw5pAULoH9/P0d6//5BRyMiIvlJzZp+6ESlSnDRRYcdtx8dHc2GDRtS3yckJGQY2hAVFcXEiRNZ8s47TI6IYNsPP1Drv/+FO+7wPRcefhgiI9NsM2nSJDp27AjA1Vdfzfz583Pm/CStihX9Fw8//uinNh00yCd8Jk065uKQOVqvI8ybb77JkiVLWLJkCZ06dUr9OUlKSuK6665j7Nix/Pjjj8yZM4fixYsf0zmIiEjey26SobhzblXKG+fcakD/6gchMdHXYahc2U8Hlu7bJhEREapV88mFGjXgkkv8VJdZaNGiBWvWrGHt2rXs27ePadOmcfnll6dps3PxYvZdfz3Ur8/4qVNpHRNDVHw8jBjh/z/KRJUqVfg8lOD49NNPqVu3bo6dnmSiXj14913/uVepAjfe6IuCzp591LvMkXodZctmuX/nHG+99RZdu3YF4JNPPqFx48Y0adIEgHLlylGsWLGjjl9ERIKR3STDwtDMEueGHi+jwo95L6UOQ0KCr8NwiP+4RUSkiKtcGebM8d9qX3aZn50gE5GRkYwZM4a2bdsSExPDNddcQ2xsLGPHjmXsY4/BDTewonlzYqdMoX5UFB9fcAGjvvzST68IdO3alVatWrFq1Sqio6OZMGECAC+//DL9+/enSZMmPPDAA4wbNy6vzrxoa90avvnGD2NJTPTDZtq1g7BhDNl1TPU6smHu3LlUqlQpNQG1evVqzIy2bdvSrFkznnzyySOOWUREghd5+CYA3Ar0Ae4EDD/LxAu5FZRkYdQoeO89ePZZPze6iIjIoVSoAJ9+6odNdOwI06b553TatWtHu3btDi5YvZreX30FU6bAccfRql8/1gwY4IdgpDN16tRMD33WWWexaJG+jwhERAR06QJXXumHUgwZAk2aQM+e8OijWfY+SS+79Tr69u1LXFwcjRo1omnTpkRGZu/Py6lTp6b2YgA/XGLevHksWLCAkiVL0qZNG0477bTUnhIiIlIwZLcnQyQwyjnX0TnXAXgOUP+1vPTttzBggJ+q6q67go5GREQKirJlfZf55s39cLtp07Juu2qVn7kgJgbeeQf69YO1a+HppzNNMEg+d/zxcM89vjjknXf6YZZ16/pEw19/HXbzI6rXsWQJkydPZtu2bdSqVeuw+05KSmL69Ol07tw5zfHOOeccypcvT8mSJWnXrh2LFy/O/vmKiEi+kN0kw2zghLD3JwD/y/lwJNMqzr/9Bp07Q3Q0iSNG0KFjxxyr4iwiIkXAySfDf/8LZ54J3brBP//pC0RGRPjnp56C666DBg38zEX9+0N8vF+u5ELBV66cr5+xfLmv0TF4sE82TJgAyclZbpateh07d7Jv3z4Axo8fT+vWrYmKijpsSP/73/+oX78+0dHRqcvatm3L0qVL2b17N0lJSXz++ec0aNDg6M45D+X1DBwiIvmec+6wD2BJdpbll8dpp53mCqKkpCRXu3Zt9/PPP7u9e/e6xo0bux+XLXPu8sudK17cuW+/dffcc48bPHiwc865FStWuPPPPz91+88//9wtWrTIxcbGZnmMfv36uUcffTTXz0VERPKhv/5yrmFD53yVn7SP4sWdu/de57ZsCTpKyW1ffulcq1b+c2/Y0LmPP3buwIFMm3744Yeubt26rnbt2u7xxx93zjn34osvuhdffNE559xXX33l6tSp4+rVq+c6dOjgfvvtt9Rtu3Tp4k455RQXGRnpqlat6saPH5+67oYbbkjdR7jXXnvNNWjQwMXGxroBAwbk5Fnnikz/dvvxxzRt9LebiBRGwEKXVf4gqxVpGsGXQLOw982Br7OzbRCPgppk+Oqrr9xFF12U+n7o0KFu6CWX+I9p5EjnnHPt2rVzc+fOTW1Tu3Zt9+uvv6a+X7t2bZb/UR04cMBFR0e71atX59IZiIhIvletWuZJhujooCOTvHTggHNvv+1c7dr+87/wQueWLAk6qgIn07/dhg5N00Z/u4lIYXSoJEN2h0vcBbxtZnPN7AtgGnB7jnapkIxVnP/+m40zZ/oiXXfeCeRsFWcRESmCsvo/I92sAVLImcFVV8GKFTByJCxaBE2bwk03Zf0zIhnk9QwcIiIFwSGTDGbWwsxOcc4tAOoDbwJJwExgbR7EV6S48CrOO3bA889jJ53kx0yGqjkPHDiQxMRE4uLiGD169DFVcRYRkSKoevUjWy6FW4kS0LevLw7Zvz+88Yaf9vShh/zfH+G1O6ZMCTrafCfN324hmc3Aob/dRKQoOdy/cC8BF4RetwIeAO4A4oBxwFW5FlkRlFrF+cABuOEGEn7/nSr//CeULp3aJqWKM/j/2GrVqnVEVZw1nZiISBE3ZAj06gW7dx9cVrKkXy5FV5kyvtDnbbfBoEHw+ONp169b539uwBcPFeDIZuAA/e0mIkXD4YZLFHPO/RZ63RkY55z7t3PuIaDOoTY0sxPNbJKZvWxm3cKWdzazyWY2wcxiQsteMrMfwtr0NLOxZvahmQ0LLfs5tKzX0ZxoQZBaxXnQIPZ9+CHTKlXi8ttuS9MmJ6s4i4hIEdStG4wbBzVq+F5yNWr497pxFIBatXxvhlNOybhu926faLjrLp+UevlleO89+PJLWL0adu70FT6KkLyegSM/y41ZNgBGjx5NvXr1iI2N5d57702zbv369ZQqVYqnn346509IRI7a4XoyFDOzSOdcEtAGCL/BP9y2HYF3nHP/MbM3gZQ+dp2AbkAZYChws3Pun2b2TsqGzrkJwAQzGwG8Glq8Cz915sF0cSETGRnJmNtuo+2AASSfeCI9br2V2NhYxo4dC0Dv3r1ZsWIF3bt3p1ixYjRo0IAJEyakbt+1a1fmzJnD9u3biY6O5tFHH6Vnz54ATJs2Td3tRETE69ZNSQU5tC1bMl++e7cfRrFrV+brixeH8uWhQgWoWNE/pzzC36e8Ll06dUhoQRQZGcmYMWNo27YtycnJ9OjRo0j+7ZacnEyfPn2YNWsW0dHRtGjRgssvvzzNFKRDhw4lLi6Od999l5UrV9KnTx9mz54NwI033sjtt99O9+7d0+z3s88+Y8aMGSxdupTjjjuOrVu3pll/9913c8kll+T+CYrIEbHMxpKlrjQbBLQDtgPV8TNMODOrA0xyzp15iG3vBz52zi0xszecc9eGlrcEegC/Ao2cc51Cy99xzl0Vtv3xwDTn3JWh9xGAAR865y7O5Hi9CCVBqlevftq6deuO4DLkE9u3Q1wcHH+8L8B08slBRyQiIiJFUc2afohEejVqQHw87NkD27bB1q3+OeWR1fs//8z8OJGRPilxqIRE+qRERHbrlkte+frrrxk8eDD//e9/ARg2bBgA999/f2qb9u3bc//993PWWWcB8I9//IOvvvqKSpUqARAfH8+ll16apofDNddcQ69evbjgggtI77333uPLL7/kxBNPpFSpUtxzzz25dn4ikpGZLXLONc9s3SF7IzjnhpjZbKAy8Ik7mJGIwNdmOJQEIBpYQtiwDOfcfGB+KFFxqBkqrgKmh213IHQye8wsIuV92Ppx+DoRNG/evOD11TtwALp39/8Rf/21EgwiIiISnMPV7jj+eKhWzT+yY88e/2XK4ZISCxb45z/+yHw/xYodWVKiTBklJfJAZrNsfPvtt2napMyycdZZZ6WZZSMlyZCZ1atXM3fuXAYNGsTxxx/P008/TYsWLfjrr7944oknmDVrloZKiORDhy1t65z7JpNlq7Ox7+nAGDNrD/zHzF5zzl1vZu2Ay4BSwAAAMxsCNDWzsUBf59xe4GqgS2h9PeC+0H7npE8wFGhTpvgCSynfFtx4IzRrFmhIIiIiUsSlDKcZNAjWr/ezjwwZcvTDbI4/HqKj/SM79u7NXlJi0SL//Pvvme8nJSmRnYREhQpQtuyhkxIpf7flxDUpRLI7y0bfvn2Ji4ujUaNG2ZplIykpicTERL755hsWLFjANddcwy+//MIjjzzC3XffTalSpXL0PEQkZ2Rv/pyj4Jz7C7gpbNGU0PKPgI/StR0EDEq37Iqw16vwQywKlylTMn5L8NZbcMEF+g9LREREghVk7Y7jjoOqVf0jO1KSEocbuvHdd/71zp2Z7yciIuukxNq1MHUqhIo4asaNg3Jrlo3o6Gg6duyImdGyZUsiIiLYvn073377Le+88w733nsvO3fuJCIiguOPP57bbz9UJ2kRySu5lmSQbBg0KG2CAfz7QYOK/H9WIiIiItl2pEmJffuyl5T4/nv/OjEx8/3s3u2Huw4dmr1il2XL+t4VhUz4LBtVq1Zl2rRpvPHGG2na7Ny5k5IlS1KiRIlsz7Jx5ZVX8umnn3LuueeyevVq9u3bR/ny5Zk7d25qm8GDB1OqVCklGETyESUZgrR+/ZEtFxEREZFjV6IEVKniH9mxf79PZGRWMP3AAahf3yclli71SYnffsvYDvxMGuXKZX/2jXLlCkRSIrdm2ejRowc9evSgYcOGlChRgkmTJmUYhiEi+c8hZ5coqJo3b+4WLlwYdBiHd7jKzSIiIiKSPxzJ323798OOHVn3lEjfa2LHjsyPaeZ7P2S30GW5cn7GDhGRXHbUs0tILjtc5WYRERERyR+O5O+24sXhlFP8IzuSktImJbIqeLl8+cGkRGZfFJr5GTUy6xWR2fvy5XMmKaGCmCISRkmGIOV05WYRERERyR25+XdbZCRUquQf2ZGcnHVSIvz1ypXwxRdZJyXA95TITkIiJSlRvHja7dMXMldBTJEiT8MlREREREQKs+RkXyfiUL0kwt/v2OFrTWSmTJm0CYhZs2DXroztNPxXpFDTcAkRERERkaKqWLGDvREaNDh8++RkP6PG4ZISa9ZknmAA36NhwQJo2lR1IkSKGP3Gi4iIiIjIQcWK+aER5ctDTMyh22ZVEBOgZUs46SQ4+2w45xw491xo1kxJB5FCTr/hIiIiIiJydLIqiPnUU362i88/hzlz4KOP/LpSpTImHdLXeRCRAk1JBhEREREROTqHK4jZubN/3rLlYMLh889h4EC/vFQpOOssn3A45xw47TQlHUQKOBV+FBERERGRvLVli5/5IiXp8OOPfvmJJ6ZNOjRvrqSDSD50qMKPEXkdjIiIiIiIFHGVKsHVV8Pzz8OyZT7p8PbbcOONkJAA998P//d/fjaLtm1h2DD4+mvYvz/oyLNt5syZ1KtXjzp16jB8+PAM6xMTE+nQoQONGzemZcuWLFu2LHVdjx49qFixIg0bNsx0308//TRmxvbt21OXLV26lFatWhEbG0ujRo3Ys2dPzp+USDaoJ4OIiIiIiOQv27Yd7OkwZ45PRICv93Dmmb6nw7nn+p4OJUoEF2cWkpOTOfXUU5k1axbR0dG0aNGCqVOn0iBsdo8BAwZQqlQpHnnkEVauXEmfPn2YPXs2AF988QWlSpWie/fuaZIPABs2bODmm29m5cqVLFq0iPLly5OUlESzZs147bXXaNKkCTt27KB06dIUK1YsT89big71ZBARERERkYKjQgXo1AlGj4YffvBJh3//G3r2hF9/9TUgzjwTSpeGCy/0dSC+/BL27Qs6cgDmz59PnTp1qF27NiVKlKBLly7MmDEjTZvly5fTpk0bAOrXr098fDxbtmwBoHXr1pQtWzbTfd999908+eSTmFnqsk8++YTGjRvTpEkTAMqVK6cEgwRGSQYREREREcnfypeHjh3huedg6VKfdJg+HW65BbZuhQcf9LUcSpeGCy6Axx+HefNg795Awt24cSPVqlVLfR8dHc3GjRvTtGnSpAnTp08HfFJi3bp1JCQkHHK/77//PlWrVk1NJqRYvXo1Zkbbtm1p1qwZTz75ZA6diciR0+wSIiIiIiJSsJQvDx06+AfAjh1+eEXKDBYPPeSXn3ACtGp1cHhFy5Zw3HG5Hl5mQ9LDex4ADBw4kL59+xIXF0ejRo1o2rQpkZFZ357t3r2bIUOG8Mknn2RYl5SUxLx581iwYAElS5akTZs2nHbaaak9JUTykpIMIiIiIiJSsJUrlzHpMHfuwaTDI4+Ac3D88b6g5Dnn+KTD6afnStIhOjqaDRs2pL5PSEigSpUqadpERUUxceJEwCclatWqRa1atbLc588//8zatWtTezEkJCTQrFkz5s+fT3R0NOeccw7ly5cHoF27dixevFhJBgmEhkuIiIiIiEjhUq4cXHkljBgB330H27fDe+9B796QmAiDB/tEQ+nScP758NhjPiGRQzMytGjRgjVr1rB27Vr27dvHtGnTuPzyy9O02blzJ/tCNSTGjx9P69atiYqKynKfjRo1YuvWrcTHxxMfH090dDSLFy/mlFNOoW3btixdupTdu3eTlJTE559/nqbIpEheyrWeDGZ2IvACsA+Y45ybElreGWgP7Aeeds6tMLOXgP9zzjUKtRkMxACJwGPOuU1mNhwoCex2zg3MrbhFRERERKSQKVsWrrjCP8AnGubO9b0cPv/cJx2c870aUoZXnHMOnHGG7/1whCIjIxkzZgxt27YlOTmZHj16EBsby9ixYwHo3bs3K1asoHv37hQrVowGDRowYcKE1O27du3KnDlz2L59O9HR0Tz66KP07Nkzy+OVKVOGfv360aJFC8yMdu3a0b59+yOOWyQn5NoUlmZ2PbDTOfcfM3vTOdc5tPwtoBtQBhjqnLs5tPwd59xVodcPAvWAncB9QHmgr3Ouv5k9BTznnNuQ4aAhmsJSRERERESyLTHRF4pMmTJzyRI4cMAnHc4442BNh6NMOogUNoeawjI3azJEAz+EXieHLX8aGA38ik80ZGaoc+6AmV0O3AwsAFKSCutD+06TZDCzXkAvgOrVq+dE/CIiIiIiUhSUKQOXXeYfADt3pk06/Otf8OijUKJExqTDCScEFrZIfpSbNRkS8MmANMdxzs13zvUGXiddoiCszYHQy61AKWBj2L6qhfadfptxzrnmzrnmFSpUyJkzEBERERGRoqd0abj0Unj6aVi4EH77DT74AO68E3bv9lNknn++b9e6NTz8MHz6qV8HMGUK1KwJERH+ecqU4M5FJI/l5nCJE4ExwB5gHnCxc+56M2sHXIZPHgxwzv1qZkOALsAsoC/QH59MKA/c6ZzbbGbDgOOAvc65+w91bA2XEBERERGRXPP77/Dllwd7Oixa5IdXFC8OtWrB2rWwf//B9iVLwrhx0K1bUBGL5KhDDZfItSRDkJRkEBERERGRPPPHH354xeefw8iREJo1Io0aNSA+Pq8jE8kVSjKIiIiIiIjkhYgIP1NFema+t4NIIXCoJENu1mQQEREREREpWrIqQu8cPPQQ/PVX3sYjkseUZBAREREREckpQ4b4GgzhTjgBWrXyBSPr14epUzPv7SBSCCjJICIiIiIiklO6dfNFHmvU8EMkatSAl1+Gr76CuXOhYkW49lo/K8XixUFHK5LjlGQQERERERHJSd26+SKPBw7455RZJc46C+bP90mHVaugeXO45RbYujXIaEVylJIMIiIiIiIieaVYMbj5Zli9Gu66C159FU49FUaMSDvtpUgBpSSDiIiIiIhIXitdGp59FpYuhTPOgH79oHFj+O9/g45M5JgoySAiIiIiIhKUmBj4+GP4z38gKQkuvhguvxx++inoyESOipIMIiIiIiIiQTKDSy+FZcvgiSfgs8+gQQO47z7488+goxM5IkoyiIiIiIiI5AfHHQf33uvrNXTrBk8+6es1TJrki0iKFABKMoiIiIiIiOQnlSvDxInw7bd+Cswbb4RWrfx7kXxOSQYREREREZH8qGVL+Oor35Nh/XpfIPKGG2Dz5qAjE8mSkgwiIiIiIiL5VUQEdO/uh1Dcdx9Mm+aHUDzxBOzdG3R0IhkoySAiIiIiIpLfnXQSDB8OP/4I558PAwdCw4Z+Vgrngo5OJJWSDCIiIiIiIgVFnTowYwbMnAnFi/vpLi++GFasCDoyEUBJBhERERERkYKnbVv4/nsYMcIXhGzcGO6+G3buDDoyKeKUZBARERERESmIiheHu+6CNWugRw8YNcrXa3j5ZUhODjo6yYaZM2dSr1496tSpw/DhwzOsT0xMpEOHDjRu3JiWLVuybNmy1HU9evSgYsWKNGzYMM02b7/9NrGxsURERLBw4cI065YuXUqrVq2IjY2lUaNG7NmzJ8fPKdeSDGZ2oplNMrOXzaxb2PLOZjbZzCaYWUxo2Utm9kNYm4Gh7f5jZtGhZT+b2Vgz65VbMYuIiIiIiBQ4FSrASy/BokVQrx706gUtWsC8eUFHJoeQnJxMnz59+Pjjj1m+fDlTp05l+fLladoMHTqUuLg4li5dyuTJk+nbt2/quhtvvJGZM2dm2G/Dhg2ZPn06rVu3TrM8KSmJ6667jrFjx/Ljjz8yZ84cihcvnuPnlZs9GToC7zjnbgEuD1veCegJ3A/0B3DO/RNYldLAOTc8tN0rwHmhxbuAE4ANuRiziIiIiIhIwdS0KXzxBUydCtu2wdlnQ9eusEG3UPnR/PnzqVOnDrVr16ZEiRJ06dKFGTNmpGmzfPly2rRpA0D9+vWJj49ny5YtALRu3ZqyZctm2G9MTAz16tXLsPyTTz6hcePGNGnSBIBy5cpRrFixnD6tXE0yRHMwIRDeV+dpYDRwG1Amq43NrBRwDfBeaFFToAfQN6ttREREREREijQz6NIFVq6Ehx+G997zvRv+9S/4+++go5MwGzdupFq1aqnvo6Oj2bhxY5o2TZo0Yfr06YBPSqxbt46EhISjOt7q1asxM9q2bUuzZs148sknjz74Q8jNJEMCPtGQ5jjOufnOud7A62TRK8HMooAXgXudc3+GtjvgnEsG9phZhrjNrJeZLTSzhdu2bcvhUxERERERESlATjwRHn3UzzrRvr1POMTEwDvvaMrLfMJl8jmYWZr3AwcOJDExkbi4OEaPHk3Tpk2JjIw8quMlJSUxb948pkyZwrx583j33XeZPXv2Ue3rUHIzyTAd6GRmLwL/MbPXAMysXWjZI8Dw0LIhQNNQzYXjgFeB0sAgMzvfzOqZ2Stm9gowxzl3IP3BnHPjnHPNnXPNK1SokIunJSIiIiIiUkDUrAlvvw2ffgpRUXD11dCmDSxdGnRkRV50dDQbwoayJCQkUKVKlTRtoqKimDhxIkuWLGHy5Mls27aNWrVqHfXxzjnnHMqXL0/JkiVp164dixcvPqZzyEyuJRmcc385525yzt3qnJvinLs+tPyj0LLrnXO/hpYNcs79wznX2zm31znX0Tl3Wej9p865Vc65HqHHyNyKWUREREREpFA67zxYvBheeMFPfdm0KfTpAzt2BB1ZkdWiRQvWrFnD2rVr2bdvH9OmTePyyy9P02bnzp3s27cPgPHjx9O6dWuioqKO6nht27Zl6dKl7N69m6SkJD7//HMaNGhwzOeRnqawFBERERERKQoiI+HWW/2Ul7fd5mekqFsXxoyBpKSgoytyIiMjGTNmDG3btiUmJoZrrrmG2NhYxo4dy9ixYwFYsWIFsbGx1K9fn48//phRo0albt+1a1datWrFqlWriI6OZsKECQC8++67REdH8/XXX9O+fXvatm0LQJkyZejXrx8tWrQgLi6OZs2a0b59+xw/L8tsHEhB17x5c5d+PlAREREREREJs2wZ9O3rh1I0bAijRsH55wcdlRQAZrbIOdc8s3XqySAiIiIiIlIUNWwI//sfTJ8Ou3b5Wg2dOsHatUFHVjRMmeJrZkRE+OcpU4KOKEcoySAiIiIiIlJUmUGHDn4Wiscfh5kz/SwUDz0Ef/0VdHSF15Qp0KsXrFvnZ/tYt86/LwSJBiUZREREREREirrjj4dBg2DVKt+b4fHHoV49eOONHJvycubMmdSrV486deowfPjwDOsTExPp0KEDjRs3pmXLlixbtix1XY8ePahYsSINGzZMs81vv/3GhRdeSN26dbnwwgtJTExMs379+vWUKlWKp59+OkfOIccMHAi7d6ddtnu3/wwKOCUZRERERERExIuO9t+mz5sHlSpBt25w9tmwaNEx7TY5OZk+ffrw8ccfs3z5cqZOncry5cvTtBk6dChxcXEsXbqUyZMn07dv39R1N954IzNnzsyw3+HDh9OmTRvWrFlDmzZtMiQv7r77bi655JJjiv2YbNsGc+b4WT369PGzfFSsCAkJmbdfvz5Pw8sNSjKIiIiIiIhIWmeeCfPnw/jxfjaKFi3g5pth69aj2t38+fOpU6cOtWvXpkSJEnTp0oUZM2akabN8+XLatGkDQP369YmPj2fLli0AtG7dmrJly2bY74wZM7jhhhsAuOGGG3jvvfdS17333nvUrl2b2NjYo4o525zz1+Wzz+D55/3MHeeeCxUq+ITCeef5BMPrr8PevXD55VCmTOb7ql49d2PNA5FBByAiIiIiIiL5ULFi0LMnXHUVPPYYPPccvP02PPII3H47lCiR7V1t3LiRatWqpb6Pjo7m22+/TdOmSZMmTJ8+nbPOOov58+ezbt06EhISqFSpUpb73bJlC5UrVwagcuXKbA0lQf766y+eeOIJZs2alXNDJVKSCT/+CMuXp33eseNgu5NPhgYN4Mor/XNsrH+uWtXXwACfeOjVK+2QiZIlYciQnIk1QEoyiIiIiIiISNZOPhmeeQZuuQXuvhv694dx42DkSLj44mztwmVS18FSbrhDBg4cSN++fYmLi6NRo0Y0bdqUyMiju2V95JFHuPvuuylVqtSRb+wcbNmSMZGwfHnGZEJsLHTsmDaZUKXKwWRCVrp188+DBvkhEtWr+wRDyvICTEkGERERERERObz69eGjj/zj7rvhkkugfXsYMQLq1j3kptHR0WzYsCH1fUJCAlWqVEnTJioqiokTJwI+KVGrVi1q1ap1yP1WqlSJzZs3U7lyZTZv3kzFihUB+Pbbb3nnnXe499572blzJxERERx//PHcfvvtBzd2Dn79NfNkwm+/HWxXurRPIHTqlDaZULny4ZMJh9KtW6FIKqSnJIOIiIiIiIhkj5lPLFx4IYwaBf/6l7/pvusuePBBiIrKdLMWLVqwZs0a1q5dS9WqVZk2bRpvvPFGmjY7d+6kZMmSlChRgvHjx9O6dWuisthfissvv5xJkyYxcOBAJk2axBVXXAHA3LlzU9sMfuQRSjnH7fXr+5jDkwnhs1GUKePP5eqr0yYTTjnl2JIJRYxl1m2loGvevLlbuHBh0GGIiIiIiIgUbr/+Cg88ABMn+tkohg+H7t0hIuMcAx999BF33XUXycnJ9OjRg0GDBjF27FgAevfuzddff0337t0pVqwYDRo0YMKECZQJFUjs2rUrc+bMYfv27VSqVIlHH32Unj17smPHDq655hrWr19P9erVeXvUKMpu3pymZ8LgRYsotXcv96QEUrasTyCkJBFSnitVUjIhm8xskXOueabrlGQQERERERGRY7JgAdx5J3zzDbRs6YtEnn567hzLOdi4MfNhDr//frBduXIZEwmxsX7GByUTjsmhkgwaLiEiIiIiIiLHpkUL+PJLmDIF7rsPzjgDrr/e92xIV3sh21KSCekTCemTCeXL++TBtdemTSZUqKBkQgDUk0FERERERERyzp9/wrBhfkaK4sV9rYbKlf3Ul5nNpOAcJCRknkz444+D+61QIfOeCRUqBHOeRZiGS4iIiIiIiEje+vlnP93ljBm+R0H4vWfx4tCqFezd65MJf/55cF3FihmTCQ0aKJmQjyjJICIiIiIiIsGoVAm2bs24PCICzjknY0KhfPm8j1GOiGoyiIiIiIiISDC2bct8uXPw6ad5G4vkuozziuQQMzvRzCaZ2ctm1i1seWczm2xmE8wsJrTsJTP7IaxNQzObEno0DC0bbmbPmdnw3IpZREREREREclj16ke2XAq0XEsyAB2Bd5xztwCXhy3vBPQE7gf6Azjn/gmsCmvTF+gD3AbcYWbVgeLOuTuBYmZWLRfjFhERERERkZwyZAiULJl2WcmSfrkUOrmZZIgGNoReJ4ctfxoYjU8glMli25Odczudc78DJwFVw/a1PrRvERERERERye+6dYNx46BGDV8AskYN/75bt8NvKwVObtZkSMAnA5YQlsxwzs0H5ptZHeD2LLb93cxOBhzwJ7CRg4mFasB76Tcws15AL4Dq6nYjIiIiIiKSf3TrpqRCEZFrs0uY2YnAGGAPMA+42Dl3vZm1Ay4DSgEDnHO/mtkQoAswCz9Uoi4wADDgSefcMjMbBhwH7HXO3X+oY2t2CREREREREZHcoSksRURERERERCRHHCrJkJs1GURERERERESkCCmUPRnMbBuwLug4jlB5YHvQQeQzuiYZ6ZpkpGuSOV2XjHRNMtI1yUjXJCNdk4x0TTKn65KRrklGuiYZFcRrUsM5VyGzFYUyyVAQmdnCrLqbFFW6JhnpmmSka5I5XZeMdE0y0jXJSNckI12TjHRNMqfrkpGuSUa6JhkVtmui4RIiIiIiIiIikiOUZBARERERERGRHKEkQ/4xLugA8iFdk4x0TTLSNcmcrktGuiYZ6ZpkpGuSka5JRrommdN1yUjXJCNdk4wK1TVRTQYRERERERERyRHqySAiIiIiIiIiOUJJhoCZ2ZVm9rKZzTCzi4KOJz8wsxgzG2tm75jZrUHHk1+Y2YlmtsjMLg06lvzCzM41s7mhn5dzg44nPzCzCDMbYmajzeyGoOPJD8zs7NDPyHgz+yroePIDM6tuZu+b2StmNjDoePIDM2tgZm+Z2YtmdlXQ8QTJzGqb2QQzeyf0/trQ3yqTzezEoOMLSibXpZ+ZLTazhkHHFpRMrsnE0GOSmRULOr4gZHJN7g39/zPDzMoGHV8Q0l+T0LKeZvZ5kHEFKZOfk49Df6s8HXRsOUFJhoA5595zzt0C3Ah0DjicfME5t8I51xu4Big0U7nkgPuAt4IOIp9xwC7geCAh4FjyiyuAqsB+dE0AcM7NDf2b8gEwKeh48olTgQ+dcz2ABkEHk09cAox2zt0KdA86mCA5535xzvUMW9Qh9LfKW0DHgMIKXPrr4px7Fng/wJACl8k1uck5dxOwE6gSWGAByuSaPOmcuxmYA1QLLLAApb8mZlYLKAdsCy6qYGXy7+xu/L35loBCylFKMuQfDwLPBx1EfmFmlwPzgNlBx5IfmNkFwHIKyT88OWiuc+4SfALm0aCDySfqAV875/oB6gmU1rXA1KCDyCe+A7qY2afAZ0EHk0+8hr8mT+H/+JWDUgp4rQOigwxE8j8zqw8c55zbEHQs+YGZlTCz8UB7/O9QkWZmEUB/YGTAoeQ3VzvnegGVzaxx0MEcKyUZAmbeE8DHzrnFQceTXzjn3nfO/R/QLehY8onzgDPwN0m3hP6BLvKccwdCLxOB44KMJR9JwF8PgOQgA8lPzKw68Ltz7o+gY8knbgIecc6dj//Dt8hzzm11zvUBBgLbg44nn6qOekjJIYSGjtwD3Bl0LPmFc25fqCfDOHxvw6KuNlABeBJoYmbtAo4nXwj7m3YrUCrIWHJCZNABCHcAFwAnm1kd59zYoAMKWmhsfUf8TeNHgQaTTzjnBgGY2Y3A9rB/iIo0M+sItAVKA2OCjSbfmA6MNrOzgS+CDiYf6QlMDDqIfGQmMNjMrgXiA44lXzCzmsADwInAU8FGEywzKwcMAZqa2f3Ae2b2InAC0CfQ4AKUyXXZBFwKxJjZ4865HwINMADprskg4HbgY+C50DUpckmpTH5OSgMlgTL4b/CLnPBrgv/GvnNoebRzrkj+rZ/Jz0l9/JCJSHwCpkDTFJYiIiIiIiIikiPU5VpEREREREREcoSSDCIiIiIiIiKSI5RkEBEREREREZEcoSSDiIiIiIiIiOQIJRlEREREREREJEcoySAiIiIAmJkzs2fC3t9jZoNz+BhfZaNNvJmVz2T5YDO7JyfjERERkZylJIOIiIik2At0zOwGP6c45/4vt/Z9KGZWLIjjioiIFDVKMoiIiEiKJGAccHd2GpvZq2b2nJl9ZWa/mNlVYesGmNkCM1tqZo+GLd8Veo4wsxfM7Ecz+8DMPgrfHrjDzBab2Q9mVj9seRMz+9TM1pjZLaF9mZk9ZWbLQu07h5afa2afmdkbwA9mdqKZfWhm34fadj7qKyUiIiKZigw6ABEREclXngeWmtmT2WxfGTgLqA+8D7xjZhcBdYGWgAHvm1lr59wXYdt1BGoCjYCKwArglbD1251zzczsNuAe4ObQ8sbAGcCJwHdm9iHQCogDmgDlgQVmlnKslkBD59xaM+sEbHLOtQcws5OzeY4iIiKSTerJICIiIqmcc38Ak4E7s7nJe865A8655UCl0LKLQo/vgMX4BETddNudBbwd2vZX4LN066eHnhfhkxEpZjjn/nbObQ9t0zK0r6nOuWTn3Bbgc6BFqP1859za0OsfgAvM7AkzO9s593s2z1FERESySUkGERERSW8k0BPfW+Bw9oa9trDnYc65uNCjjnNuQrrtjENL2W8yaXteunTt3GH29VdqQ+dWA6fhkw3DzOzhw8QgIiIiR0hJBhEREUnDOfcb8BY+0XA0/gv0MLNSAGZW1cwqpmszD+gUqs1QCTg3m/u+wsyON7NyoW0WAF8Anc2smJlVAFoD89NvaGZVgN3OudeBp4FmR35qIiIiciiqySAiIiKZeQa4/Wg2dM59YmYxwNdmBrALuA7YGtbs30AbYBmwGvgWyM7whfnAh0B14F/OuU1m9i6+LsP3+J4N9zrnfk1XMBJ8/YenzOwAsB+49WjOT0RERLJmzqXvdSgiIiKS+8yslHNuV6hXwnzgzFB9BhERESmg1JNBREREgvKBmZUGSuB7JSjBICIiUsCpJ4OIiIgckpkNAq5Ot/ht59yQIOIRERGR/EtJBhERERERERHJEZpdQkRERERERERyhJIMIiIiIiIiIpIjlGQQERERERERkRyhJIOIiIiIiIiI5AglGUREREREREQkRyjJICIiUoCY2S4zq53TbY+VmX1sZjfkxbEOEcOZZrYmdN5X5sD+XjWzx3MgtMMdJ9vXzszmmNnNWayraWbOzCJzNkIREZHs039CIiJSKJlZPFAFqOKc2x62fAnQBKjlnIvPw3jOBV53zkUfy36cc6Vyo+2RMLPBQB3n3HVhx7okN451hB4DxjjnRgUdyJHIJ9dOREQkR6gng4iIFGZrga4pb8ysEXBCcOEcmr6BPmY1gB+PZkNd+7R0PURE5GgpySAiIoXZa0D3sPc3AJPDG5jZcWb2tJmtN7MtZjbWzE4IrStjZh+Y2TYzSwy9jg7bdo6Z/cvMvjSzP83sEzMrnz4IMzsR+BioEurKv8vMqpjZYDN7x8xeN7M/gBvNrKWZfW1mO81ss5mNMbMSYftyZlYn9PpVM3vezD4MHf9bM/vHUba9yMxWmdnvZvaCmX2eWbd8M7sYeADoHDqP78Ouxc2h1zeGrsmI0Hn8Ymb/F1q+wcy2hg8POMxnUD503Xea2W9mNtfMMvz9YmY/A7WB/4TiOi50jd8PbfeTmd0S1j7DtU+/z3T7P8nMPjOz58zMMll/yJ8FMzvDzL4Kncf3oZ4t4dumXLtiZvaMmW03s7VmdrtlHAJR4zA/cz3MbFPo56d/uus8MrRuU+j1caF155pZgpndZ2a/AhOze+1FRETC6T8KEREpzL4BoswsxsyKAZ2B19O1eQI4FYgD6gBVgYdD6yKAifhvyKsDfwNj0m1/LXATUBEoAdyTPgjn3F/AJcAm51yp0GNTaPUVwDtAaWAKkAzcDZQHWgFtgNsOcY5dgUeBMsBPwJAjbRu6SX0HuB8oB6wC/i+zHTjnZgJDgTdD59Eki2OdDiwN7e8NYBrQAn+NrwPGmFnKcI5DfQb9gQSgAlAJn+BwmcT1D2A9cFkorr3A1NC2VYCrgKFm1iZss/TXPlNmVg6YDXzpnLvTOZfh+CGZ/iyYWVXgQ+BxoGxo+b/NrEIm+7gF/7MSBzQDrszuccKcB9QFLgIGmtkFoeWDgDNC+24CtAQeDNvulFB8NYBeZPPai4iIhFOSQURECruU3gwXAiuBjSkrQt9I3wLc7Zz7zTn3J/4GuguAc26Hc+7fzrndoXVDgHPS7X+ic261c+5v4C38DdyR+No5955z7oBz7m/n3CLn3DfOuaRQzYiXMjlmuOnOufnOuST8jfKhjp9V23bAj8656aF1zwG/HuF5pLfWOTfROZcMvAlUAx5zzu11zn0C7APqHO4zAPYDlYEazrn9zrm5h7jJT2Vm1YCzgPucc3ucc0uA8cD1Yc3SXPssdlUF+Bx42zn3YBZtUmT1s3Ad8JFz7qPQsWYBC/HXPb1rgFHOuQTnXCIw/AiOk+JR59xfzrkf8EmylCFD3fCfwVbn3DZ8win8ehwAHgl9Rn9zlNdeRESKNo23ExGRwu414AugFumGSuC/oS0JLArrAW9AMQAzKwmMAC7Gf/sPcJKZFQvdPEPam/HdwJEWW9wQ/sbMTgWeBZqHYosEFh1i+yM5flZtq4TH4ZxzZpZw2MgPbUvY679D+02/rBSH+QyAp4DBwCeh9eOcc5ndeKdXBUhJWqRYh7+uKTZweO2BXcDYbLTN6vrWAK42s8vC1hcHPstkH2k+iyxiPNxnHr7NOqBR2L7XpVtXJez9NufcnrD3R3vtRUSkCFNPBhERKdScc+vwBSDbAdPTrd6Ov9mNdc6VDj1ODpuVoT9QDzjdORcFtA4tzzAmPzuhZHP5i/geF3VDx3zgKI93JDYD4bUmLPx9JnLy2+xDfgbOuT+dc/2dc7WBy4B+6YY8ZGUTUNbMTgpbVp2wnixk7zxeBmYCH5mvrXE0NgCvhZ1faefciVncsKf5LPA9QI5U+DbV8deC0HONLNZBuutxDNdeRESKMCUZRESkKOgJnB+qjZDKOXcAfxM5wswqgh8/b2ZtQ01Owt8A7zSzssAjxxDDFqCcmZ18mHYnAX8Au8ysPnDrMRwzuz4EGpnZlaECg33w4/OzsgWomRNFAA/3GZjZpWaWMqziD3zNiuQsd3hwvxuAr4BhZna8mTXG/xxkWXvhEG7H16n4IKUg5RF6HbjMzNqGCjseHyq0mFki5y2gb+galAbuO4rjPWRmJc0sFl+74c3Q8qnAg2ZWIVSH42Ey1ihJdbTXXkREijYlGUREpNBzzv3snFuYxer78EUQvwnNMvA/fO8FgJH4KS+344tIzjyGGFbib/J+CVXrr5JF03vwhf3+xN98v5lFuxzjnNsOXA08CewAGuBrBuzNYpO3Q887zGxxDoRwqM+gbuj9LuBr4AXn3Jxs7rcrUBP/bf27+HoDs440uFAdgl74HgkzzOz4I9x+A77I5APAttB+BpD532EvA5/gi2Z+B3wEJHFkN/ef46/nbODpUA0M8IUnF4b2/QOwOLQsK8dy7UVEpIgy1e8RERGRcKEeCglAN+dcZnUDJI+Y2SXAWOdcjcM2FhERyQfUk0FERIoMM3vFzLaa2bKwZWXNbJaZrQk9l8lku+PNbL6ZfW9mP5rZo2Hr3jSzJaFHvJktyaPTyVGhrvylzew4DtaB+CbgsIocMzvBzNqZWWRo6stH8L0wRERECgQlGUREpCh5FT9TRLiBwGznXF189/KBmWy3F1/ToQl+usCLzewMAOdcZ+dcnHMuDvg3GYtLFhStgJ/xQ0MuA648xLSOknsMP7VkIn64xAp87QQREZECQcMlRESkSDGzmsAHzrmGofergHOdc5vNrDIwxzlX7xDblwTmAbc6574NW27AenwyYk1unoOIiIhIfqWeDCIiUtRVcs5tBgg9V8ysUWhWgCXAVmBWeIIh5GxgixIMIiIiUpQpySAiIpINzrnk0JCIaKClmTVM16QrfvYIERERkSKrUA6XKF++vKtZs2bQYYiISD60d+9efvrpJ2JjYwFYtmwZ9erVo3jx4uzfv59Vq1bRsGH6/EFamzZtIiIiglNOOQUA5xxLly4lJiaGEiVK5Po5iIiIiARp0aJF251zFTJbF5nXwYQzs9rAIOBk59xVZnYtcB5wHH6s61/p2o8Fdjnn7jnUfmvWrMnChVlNhy4iIkVZfHw8l156aer/EwMGDKBcuXIMHDiQ4cOH89tvv/Hkk0+m2Wbbtm0UL16c0qVL8/fff3PRRRdx3333cemllwIwc+ZMhg0bxueff57n5yMiIiKS18xsXVbrAh0u4Zz7xTnXM2xRB+fcLcBbQMfwtmZ2FaDMgYiIHLWuXbvSqlUrVq1aRXR0NBMmTGDgwIHMmjWLunXrMmvWLAYO9JNLbNq0iXbt2gGwefNmzjvvPBo3bkyLFi248MILUxMMANOmTaNr166BnJOIiIhIfpIvhkuY2TuhngxvOeeuMbNGwKXOuWGh9ZWAO4GXgdsP15OhefPmTj0ZRERERERERHKemS1yzjXPbF1+LfxYHUgIe38Ovtr3w8B5ZnZq+g3MrJeZLTSzhdu2bcujMEVEREREREQkRaBJBjMrF6qz0NTM7gfeM7MXgauB6WbWysxuc869FRpG8RjwmXNudfp9OefGOeeaO+eaV6iQaf0JEREpgqZMgZo1ISLCP0+ZEnREIiIiIoVXvhgukdM0XEJERMAnFHr1gt27Dy4rWRLGjYNu3YKLS0RERKQgK4jDJURERI7Jzp3Qr1/aBAP494MGBRKSiIiISKEX6BSWIiIiOWH/fli6FL79FubP988rV2bdfv36vItNREREpChRkkFERAoU5yA+3icSUpIKixfDnj1+fYUKcPrpfjjE6NGwdWvGfVSvnqchi4iIiBQZSjKIiBRSPXr04IMPPqBixYosW7YMgN9++43OnTsTHx9PzZo1eeuttyhTpkya7TZs2ED37t359ddfiYiIoFevXvTt2xeAzp07s2rVKgB27txJ6dKlWbJkSa6eR2IiLFiQNqmQMonQ8cfDaafBrbf6xMLpp0ONGmDm19eqlbEmw3HHwZAhuRqyiIiISJGlwo8iIoXUF198QalSpejevXtqkuHee++lbNmyDBw4kOHDh5OYmMgTTzyRZrvNmzezefNmmjVrxp9//slpp53Ge++9R4MGDdK069+/PyeffDIPP/xwjsW8b9/BYQ8pj9Vh8wnFxPhEQsuW/rlRIyhe/ND7nDLF12BYvx4iI33hx19+gbJlcyxsERERkSLlUIUflWQQESnE4uPjufTSS1OTDPXq1WPOnDlUrlyZzZs3c+6556b2TMjKFVdcwe23386FF16Yusw5R/Xq1fn000+pW7fuUcXmHKxdmzah8N13sHevX1+p0sHeCS1bQosWcPLJR3WoVIsX+/117gyvv35s+xIREREpqg6VZNBwCRGRImTLli1UrlwZgMqVK7M1s4IFYeLj4/nuu+84/fTT0yyfO3culSpVOqIEw2+/ZRz2sH27X3fCCX7Yw+23H0wqVK9+cNhDTmnWDB58EAYPho4d/UNEREREco6SDCIikqldu3bRqVMnRo4cSVRUVJp1U6dOpWvXrlluu3cvfP/9wZkevv0W1qzx68z8sIfLLjvYUyE29vDDHnLKAw/A++9D795w1llQsWLeHFdERESkKFCSQUSkCKlUqRKbN29OHS5RMYs77P3799OpUye6detGx3Rf9yclJTF9+nQWLVoE+GEPP/+cdvrI777z9RUATjnFJxJuusk/N28O6XIWeap4cZg82fdquPVWeOednO8xISIiIlJUKckgIlKEXH755UyaNImBAwcyadIkrrjiigxtnHP07NmTmJgY+vXrl2H99On/o2LF+owfH838+T6xsGOHX1eypB/2cOedB3spREfnv5v42Fj417/gvvtg6lS49tqgIxIREREpHFT4UUSkkOratStz5sxh+/btVKpUiUcffZQrr7ySa665hvXr11O9enXefvttypYty6ZNm7j55pv56KOPmDdvHmeffTaNGjXCLIK//4bzzhvKrl3tmD8ffvrpRuAMzHoTG3twpoeUYQ+RBSR9nZwMZ58NK1fCsmVQpUrQEYmIiIgUDJpdQkREDss5+OmntLM9LFkC+/f79VWqpJ0+snlzOOmkQEM+ZqtXQ1wcnHcefPBB/utxISIiIpIfaXYJERHJYPv2tIUZ58+HxES/7sQTfRLh7rsPJhWio4ONNzeceioMHw59+8LEidCjR9ARiYiIiBRs6skgIlKITJkCgwbB+vV+CsghQ6BbN9izx/dKCO+l8MsvfpuICD/MIWXIQ8uW0KBBwRn2cKwOHIA2bWDRIvjhB6hRI+iIRERERPI3DZcQESkCpkyBXr1g9+6DyyIjoVo1SEg4OOyhatWDCYXTT/eFGkuVCibm/GLtWmjc2CdYZs3yiRcRERERyZyGS4iIFAGDBqVNMAAkJcGmTdCv38FeClWrBhNfflarFjzzDPzzn/Dii9CnT9ARiYiIiBRM6skgIlJIRET44o3pmfkhAXJozsEll8DcufD991CnTtARiYiIiORPh+rJoA6hIiKFRPnymS+vXj1v4yiozGD8eCheHG680U9xKSIiIiJHRkkGEZFCYM8e/5x+CsaSJX3xR8me6GgYPRq+/BJGjgw6GhEREZGCR0kGEZFCYMQI2LYN7r3Xz45g5p/HjfOzS0j2XXcdXHGFr3GxfHnQ0YiIiIgULKrJICJSwG3cCPXqwYUXwrvvBh1N4bBli5/Ws1Yt+PrrojOdp4iIiEh2qCaDiEghdt99fhaJZ54JOpLCo1IlP8vEwoUwfHjQ0YiIiIgUHEoyiIgUYF9+CVOmwIABULt20NEULldfDV26wGOP+dkmREREROTwNFxCRKSASk6GFi18LYaVK+HEE4OOqPDZsQMaNoSKFWHBAihRIuiIRERERIKXb4dLmFltM5tgZu+E3l9rZi+b2WQzOzGsXT0ze8XM3jCz+4KLWEQk/3jlFfjuO3jqKSUYcku5cr545tKlvkeDiIiIiBxaoEkG59wvzrmeYYs6OOduAd4COoa1W+Wc6+GcuxY4Pa/jFBHJbxIT4YEH4OyzoXPnoKMp3C67DG680ddmmD8/6GhERERE8rf8VpMhZezGOiA6/Uoz6wJ8ktmGZtbLzBaa2cJt27blYogiIsF79FH47Td47jk/XaXkrpEjoXJluOEG+PvvoKMRERERyb/yW5IhRXUgIXxBKMFQwzk3NrMNnHPjnHPNnXPNK1SokBcxiogE4scfYcwY6NUL4uKCjqZoOPlkmDDB17546KGgoxERERHJv4KuyVDOzMYCTc3sfuA9M3sRuBqYbmatzOw2M2sKPA3UMrNng4xZRCRIzkHfvnDSSfCvfwUdTdFy0UXQuzc8+yzMnRt0NCIiIiL5k2aXEBEpQN59Fzp2hNGj4fbbg46m6Nm1Cxo39kNUvv8eSpUKOiIRERGRvJers0uYWbSZ3WNmM8xsgZl9YWYvmFl7M8uvwzFERAqcv/+Gfv38lIq9ewcdTdFUqhS8+iqsXQv3aa4jERERkQyOKQlgZhOBV4B9wBNAV+A24H/AxcA8M2t9rEGKiAg88wzEx8OoURAZGXQ0RVfr1nDXXfDCC/C//wUdjYiIiEj+ckzDJcysoXNu2SHWlwCqO+d+OuqDHAUNlxCRwmbDBqhXD9q3h7ffDjoa+ftvaNoUdu+GH37whSFFREREiopcGy6RWYLBzMqYWePQ+n15nWAQESmMBgzwRR+ffjroSATghBNg0iTYuNEPYRERERERL0dqJpjZHDOLMrOywPfARM0CISKSM774At5809cAqFEj6Ggkxemn+8/klVfggw+CjkZEREQkf8iR2SXM7DvnXFMzuxmo5px7xMyWOucaH3uIR07DJUSksEhOhtNOg99+g5UroWTJoCOScHv3QosWsG0b/PgjlC0bdEQiIiIiuS9XZ5cIiTSzysA1gL7PERHJIS+/7KdKfOYZJRjyo+OOg8mTYft2uOOOoKMRERERCV5OJRkeA/4L/OScW2BmtYE1ObRvEZEi6bffYNAgOPdcuOqqoKORrMTFwcMPwxtvwL//HXQ0IiIiIsHKkeES+Y2GS4hIYXD77fDii/Ddd9A4kMFnkl3790OrVrBunR82UbFi0BGJiIiI5J5cHy5hZrXM7Fkzm25m76c8cmLfIiJF0Q8/+ATDrbcqwVAQFC/uZ5v44w/o3dvPBCIiIiJSFEXm0H7eAyYA/wEO5NA+RUSKJOfgzjuhdGl47LGgo5Hsio2Fxx+He+/1Qye6dQs6IhEREZG8l1NJhj3OuedyaF8iIkXav/8Nc+bACy9otoKCpl8/eO89P9Tl3HOhatWgIxIRERHJWzk1heW1QF3gE2BvynLn3OJj3vlRUE0GESmodu+GmBgoUwYWLYJixYKOSI7UmjXQpIlPMnz4IZgFHZGIiIhIzjpUTYac6snQCLgeOJ+DwyVc6L2IiGTTk0/C+vXw2mtKMBRUdevCE0/4IS8TJsDNNwcdkYiIiEjeyameDCuBxs65fcce0rFTTwYRKYjWrYP69eGKK2DatKCjkWNx4ABccAEsWOCLeNasGXREIiIiIjkn12eXAL4HSufQvkREiqR77vFd6596KuhI5FhFRMArr/jXPXr4pIOIiIhIUZBTSYZKwEoz+6+msBQROXKffQbvvAP33w/VqgUdjeSEmjVhxAj/2b7wQtDRiIhIfjFq1CgaNmxIbGwsI0eOzLA+MTGRDh060LhxY1q2bMmyZctS140YMYLY2FgaNmxI165d2bNnTx5GLpI9OTVc4pzMljvnPj/mnR8FDZcQkYIkKQmaNoVdu2D5cjjhhKAjkpziHLRv72cL+f57X69BRESKrmXLltGlSxfmz59PiRIluPjii3nxxRepG/YfxIABAyhVqhSPPPIIK1eupE+fPsyePZuNGzdy1llnsXz5ck444QSuueYa2rVrx4033hjcCUmRlevDJZxzn2f2yIl9F2VHm+VctWoVcXFxqY+oqKhMtxeR/GHsWFi2DJ55RgmGwsYMXn4ZjjsObrwRkpODjkhERIK0YsUKzjjjDEqWLElkZCTnnHMO7777bpo2y5cvp02bNgDUr1+f+Ph4tmzZAkBSUhJ///03SUlJ7N69mypVquT5OYgcTk4Nl5ActmzZMl5++WXmz5/P999/zwcffMCaNWvStBk6dChxcXEsXbqUyZMn07dvXwDq1avHkiVLWLJkCYsWLaJkyZJ06NAhiNMQkcPYvh0efhjatAH9mhZOVavC6NHw1Vfw7LNBRyMiIkFq2LAhX3zxBTt27GD37t189NFHbNiwIU2bJk2aMH36dADmz5/PunXrSEhIoGrVqtxzzz1Ur16dypUrc/LJJ3PRRRcFcRoih6QkQz51rFnOFLNnz+Yf//gHNWrUyLPYRST7HnoI/vgDRo3y33pL4dStm08iPfSQHxIjIiJFU0xMDPfddx8XXnghF198MU2aNCEyMjJNm4EDB5KYmEhcXByjR4+madOmREZGkpiYyIwZM1i7di2bNm3ir7/+4vXXXw/oTESypiRDPnUsWc5w06ZNo2vXrnkWt4hk35IlMG4c9OkDsbFBRyO5ycwPiznpJLjhBti/P+iIREQkKD179mTx4sV88cUXlC1bNk09BoCoqCgmTpzIkiVLmDx5Mtu2baNWrVr873//o1atWlSoUIHixYvTsWNHvvrqq4DOQiRrOZJkMLMzzWyWma02s1/MbK2Z/ZIT+y6qjiXLmWLfvn28//77XH311XkdvogchnNw551QtiwMHhx0NJIXKlaEF1+EhQth+PCgoxERkaBs3boVgPXr1zN9+vQMXwju3LmTffv2ATB+/Hhat25NVFQU1atX55tvvmH37t0455g9ezYxMTF5Hr/I4UQevkm2TADuBhYBKmuVQ3r27EnPnj0BeOCBB4iOjk6zPiXLCeCco1atWtSqVSt1/ccff0yzZs2oVKlS3gUtItny5pswdy689BKUKRN0NJJXrroKunaFxx6Dyy6DuLigIxIRkbzWqVMnduzYQfHixXn++ecpU6YMY8eOBaB3796sWLGC7t27U6xYMRo0aMCECRMAOP3007nqqqto1qwZkZGRNG3alF69egV5KiKZyqkpLL91zp1+FNvVBgYBJzvnrjKza4HzgOOAW51zf4W1HQ6UBHY75wYear+FZQrLrVu3UrFiRdavX89FF13E119/TZmwu5GdO3dSsmRJSpQowcsvv8zcuXOZPHly6vouXbrQtm1bbrrppiDCF5Es/PUX1K8PFSrAggVQrFjQEUle+u03Pzwm5fM/7rigIxIRERE5Mrk+hSXwmZk9ZWatzKxZyuNwGznnfnHO9Qxb1ME5dwvwFtAxZaGZVQeKO+fuBIqZWbUcijtf69SpEw0aNOCyyy5Lk+VMyXSuWLGC2NhY6tevz8cff8yoUaNSt929ezezZs2iY8eOWe1eRAIyfDgkJMBzzynBUBSVLeuntfzhB9+jQURERKQwyameDJ9lstg5587P5vbvhHoyvOWcu8bMGgGXOueGhda3Ak53zo00szuAhc65r9PtoxfQC6B69eqnrVu37pjOSUQkN6xdCzEx0KkTTJkSdDQSpB49YNIkP7Xl6UfcF1BERPKzKVNg0CBYvx6qV4chQ/xMQyKFRa73ZHDOnZfJI1sJhixUB8KnSdgIpBQkqJZuXUoM45xzzZ1zzStUqHAMh85bU6ZAzZoQEeGfddMhUrj17w+RkfDkk0FHIkEbMQKqVvWzTfz9d9DRiIhITpkyBXr1gnXrfKHn/2fvvsOqLN8Ajn8floIT90DAPcCNZsO0zL1y5MiRiZrtZVpaacPKMkdqmvPnypFpmqvMbQ5coKi5FVepKC5UBJ7fH88BQYaDAy/j/lzXuYB3nft9xcM593s/93PypPlZ3ueLrCJFlQxKqa5a61lKqfcSW6+1HnGf/fMDQ4GGwGTgJFAXcAVeB6oA1bXWPyqlvsb0arittf4oueNmlJ4MMS9A4eF3l7m5mSntJNMpRObz11/QsKG5mzFwoNXRiPQg5nfi3XdhRLJ/MYUQQmQU3t4msXCvYsXMcEml0jwkIewuuUqGlCYZXtFa/6SUGpzYeq31Z4988BTIKEmGpF6AvLzgxIm0jkYIkZru3DEzCdy6Bfv2QfbsVkck0ovXXzdTW65bB08/bXU0QgghUiq5JEKhQvDUU+ZRt655b+Bkr/n+hEhDySUZUvQrrbX+yfbVkmRCRhcSkvjykyfhtdfMGN3HHoNy5cxwCiFExvXjj7B/P/z2myQYRHzDhsHKldCjB+zZAzlzWh2REEKIRxEVBQMGJL0+Xz5o3Bg2bYKFC82yHDmgTp27SYfHHpO/AyLjS2klw8fAj1rrS0msfxZw01ovfeQneQQZvZIhWzZwdobr183PefJArVp3kw6PPWayoEKIjOHCBShb1vzfXblSyiRFQhs3Qr160LevSUgJIYTIWG7cgK5dzc2ERo1MIiG5IdFnzsDff5vtNm6EoCDTv8HREapXv1vt8NRTULiwJackRLJSs/HjXuB3pdRq2xSW/ZVSnyqlZiql9gItgW0pfI5Ma+hQ84ITl5sbTJkCYWEQHGy+79gRLl400961amVeaLy9zfIRI8wLVNwXscxu9OjR+Pr64uPjw6hRoxKsv3LlCi1btqRq1ar4+Pgwbdo0AA4ePEi1atViH7lz5050fyHsbdAg8+Zj1ChJMIjE1a1r+jKMHw+rVlkdjRBCiIdx9qxJFC9ZYqan/uMPk1Dw8jJ/9728EvZcK14cOnQw2+/eDZcvmxsRH31kqhsmTID27aFIEVPV3LMnTJ0Khw6ZZERmI+/vE8rI18ReU1iWBZ4EigI3gQPABq21Jf2yM0olAzzc9DY3bsCuXbBtGwQEmK8xQy4cHaFKlbuVDrVrQ4UKmW+YRXBwMJ06dSIgIAAXFxeaNGnC+PHjKVu2bOw2X331FVeuXGHYsGFcuHCB8uXL8++//+Li4hK7TVRUFMWLF2fbtm14eXlZcSoii9i501QivfOONPYTybt5E2rUMFVswcGmik0IIUT6tmcPNG9ukgTz5pnv7SEiwrzv37Tp7iM01KyL29fhqadM5UNG7usg7+8TygjXJNV6MsTQWh8GDtvjWFlNly4PPpNEjhzmblfduneX/fvv3YTDtm3w888m8wmQO/fdYRa1a5uvRYrY/xzS0oEDB6hTpw5uthKQevXqsWjRIvr37x+7jVKKa9euobXm+vXr5MuXD6d7XnlXr15N6dKlM/wLkEjftIa33oKCBWFwou1xhbjL1RWmT4fHHzdVDVOnWh2REEKI5KxYYaoR8uQxSYBq1ex3bBcX06uhTh3o1w+io+HgwbsJh40bE+/r8NRT5vuM1NdB3t8nlNGvSQbOeQkwSYNWrcwD7r4AxSQdtm0zTcWiosx6T8/4SYeaNRMO2UjPfH19GTRoEKGhobi6urJ8+XL8/OIn0N544w1atWpFsWLFuHbtGvPmzcPhnpKOuXPn0rlz57QMXWRBP/8MmzfD5MlyV1o8mNq1Tans0KHQti20aGF1REIIIRLz44/w5ptQtSr8/rsZ/pCaHBygYkXz6N3bLIvb12HTJvjiC/NZIKP1dZD39wll9Gtil+ES6U1GGi6RFsLDzVivmKRDQMDdKTIdHaFy5btJh8ceM8MsHB0tDTlZU6ZMYdy4ceTMmZNKlSrh6urKyJEjY9cvWLCAv//+mxEjRnD06FEaNmxIUFAQuXPnBiAiIoJixYqxb98+CqfnV1yRoV2/DuXLmzmxt23LfEOXROqJiDBVaOfPm2ET+fNbHZEQQogYUVGmsmDUKGjZ0txQSC9VA1euwNatd5MOW7eaqbPBNKCOm3QoWzZ99YmS9/cJpfdrkpqNH0UG4OYGTz4J771nxoodP26GWSxZAh9+aEq5580Df3/w9QV3d3j2WXM37bff4Nw5q88gPn9/f3bt2sWGDRvIly9fvLFJANOmTaNt27YopShTpgwlS5bkn3/+iV2/YsUKatSokWlegET69NVXphHUDz9IgkE8HBcXM2zi4kV44w2roxFCCBHj+nVo08YkGN55BxYtSj8JBjBVk40bm4qGtWtN0mHLFvjuO6hUybz39/c3N0GKFIF27WDkSNi+He7csTZ2eX+fUEa+JnYZLqGU+hb4EtP0cSVQFXhHaz3LHscX9le4sMm+tmxpfo6ONt1q4zaVHD4cIiPNeg+P+FNo1qxpxn9Z4fz58xQqVIiQkBAWLlzIli1b4q339PRk9erV1K1bl//++4+DBw9SqlSp2PVz5szJNKVUIn06cgS+/x66dTPj64V4WNWqmT4en3xihk288ILVEQkhRNZ25ox53xwUBOPGwWuvWR3R/d2vr8OmTemnr4O8v08oI18Te80uEai1rqaUagM8D7wLrNVaV03xwR+BDJewj5s3zTCLuI0ljx836xwcTNVD3NksKlVKm2EWdevWJTQ0FGdnZ0aMGEGDBg2YYOt22bdvX86ePUuPHj04d+4cWms+/PBDunbtCkB4eDglSpTg2LFj5JFB8iKVtG4Na9aYP+TFilkdjcioIiNNkur4cdi3L32PpxVCiMwsMND0yLlyBebPh6ZNrY7Ifu7t6xAUlHhfhyefTN0G8vL+PqH0fk2SGy5hryTDPq21j1JqEvCr1nqlUipIkgyZz/nzpqQqbn+HsDCzLmdO8POLn3hI7SY4QqQ3f/wBTZrAN9/AgAFWRyMyuv37zbSWTZuau03pafysEEJkBcuWQceOkC8fLF1qpozPzK5eNUMsEuvrUKaMmeUuvfZ1EGkrLZIM32AqGG4CtYG8wFKt9WMpPvgjkCRD2omONqXhcWezCAq6O66rePH4SQc/v/Q1dk0Ie4qIMG8+oqJMw75s2ayOSGQGw4fDBx/AjBlmCI4QQoi08cMPZkrh6tXNDBJFi1odUdqLiIBdu+IPsQgNNesKFjTJhpjEQ7Vq4OxsabgiDaV6ksH2JO7AVa11lFIqB5BLa/2vXQ7+kCTJYK1bt0xZWdxqh6NHzToHB/DxiT+Npo9P/GEWs2fDoEEQEmKm3Bw6FLp0seRUhHgoI0bA+++bOx3Nm1sdjcgsoqKgXj2TuAoONj1yhBBCpJ6oKJNcGDMGnn8eZs2yrhdZeqM1/PNP/KTDsWNmnZub6eUQk3S4t6+DvMdPKCNfk7SoZHAD3gM8tdZ9lFJlgfJa66UpPvgjkCRD+nPx4t3eDjFfL18263LkMBUOtWvD7dswaZLpBxHDzQ0mTsw4/+FE1vTff1CunBmzuHy51dGIzObIETMXe926sGKFlKcKIURquXYNOnc2wyTefx+GDUvfU7unB2fPxk86xO3rUK2aSThoLe/x7zV7NvTpA+Hhd5dlpGuSFkmGecBOoLvW2lcp5Qps0VpXS/HBH4EkGdI/re8Os4hJOgQGmpKsxHh5wYkTaRmhEA/H3x9mzoS9e83UUELY27hxZkrLiROhd2+roxFCiMzn9GnT4DE4GMaOhb59rY4oY7p61fRy2LjRJB22bYufXIgrWzZT2ZwVbdtmbrDeK6N87kmLJMMOrbWfUmq31rq6bZk0fhQP5fZtcHU1CYh7KWUyokKkR9u3m0qcfv3MXNRCpIboaGjY0CRm9+4Fb2+rIxJCiMxj1y4zReW1a/DLL9C4sdURZR4REZA9e+Lv8QHq10/TcNKNdesSX55RPvckl2RwstNzRNiqF7TtCUsDieRlhEhatmxmLNLJkwnXeXqmfTxCPIjoaHjrLTO94CefWB2NyMwcHGDqVKhcGV5+GVavNsuEEEKkzJIlZohEgQKwebOZpl3Yj4tL0u/xvbxg7dq0jyk98PbOvJ977PX2ZDCwEiihlJoNrAb62+nYIgsZOtSMRbpX3bppH4sQD2LWLFMSOGwY5M5tdTQis/PygpEjzd2PceOsjibrGD16NL6+vvj4+DBq1KgE67/77juqVatGtWrV8PX1xdHRkUuXLnHw4MHY5dWqVSN37tyJ7i+EsIbWMGqUae7o42PK1yXBkDoSe4/v5maWZ1WZ+ZrYc3aJ/EAdQAFbtdYX7XLgRyDDJTK2uF1WS5SAQoVgxw6YNg169LA6OiHuunbNNHv09DRzSstdZZEWtDZjhteuNb1sypWzOqLMLTg4mE6dOhEQEICLiwtNmjRh/PjxlC1bNtHtf//9d0aOHMmaNWviLY+KiqJ48eJs27YNLy+vtAhdCJGMyEh4+2348Udo29b0VUrsRpewn4w8k0JqycjXJLnhEvZ8S1wccARcgKeVUm3teGyRhXTpYpqdREebEqJNm8w4ZH9/WLjQ6uiEuOvLL+Hff80UV5JgEGlFKdOhO3t2k3iNirI6osztwIED1KlTBzc3N5ycnKhXrx6LFi1Kcvs5c+bQuXPnBMtXr15N6dKlJcEgRDpw9Sq0amUSDB98YHowSIIh9cV9j3/iRMb5MJ2aMus1scvbYqXUVGAq0A5oaXu0sMexhciWDRYtMp1nO3eGv/6yOiIh4NAhU7beo4dp+ihEWipWzCS3tmyB77+3OprMzdfXlw0bNhAaGkp4eDjLly/n1KlTiW4bHh7OypUradeuXYJ1c+fOTTT5IIRIWyEhZkrFP/80s/V8+63cKBDC3uzV+LGO1rqSnY4lRAI5cpj5iuvXN+PmVq2Cxx+3OiqRlb33nrmT/PXXVkcisqoXXzTVXZ98As2bm/HEwv4qVqzIgAEDaNiwITlz5qRq1ao4OSX+9un333/nySefJF++fPGWR0REsGTJEr6WFwwhLLVjh5lBIjwcVq6E556zOiIhMid75e22KKUkySBSlbs7/PEHFC0KzZrBnj1WRySyqmXLzGPwYChSxOpoRFalFIwfbxqOdu8Od+5YHVHm5e/vz65du9iwYQP58uVLsh9DUtUKK1asoEaNGhQuXDi1QxVCJOG33+Dpp02F7ObNkmAQIjXZK8kwHZNoOKiU2qOU2quUeuiPgEqpSkqp+Uqp8Uqp9nGWN1NKLbCta2SnmEUGVKSIGS6RIwc0agRHjlgdkchqIiLg3XehfHl4802roxFZXaFC8NNPZn53uUmees6fPw9ASEgICxcuTDSRcOXKFdavX0/r1q0TrEuqT4MQIvVpbYaVtW0LVaqYGSSk8kuI1GWv4RJTgW7AXiA6BcdpCozRWm9USi0BFtiWPwEMAq4C7wB/puA5RAbn5WWGSzz9tMlCb9oEHh5WRyWyitGj4fBhWLHCzPsshNXatjVDJ774wsw6UaOG1RFlPu3atSM0NBRnZ2fGjRuHu7s7EyZMAKBv374ALFq0iEaNGpEjR454+4aHh7Nq1Sp++umnNI9biKzuzh1zQ+Cnn6B9e5gxA1xdrY5KiMzPLlNYKqXWaK2ftcNxCgGDgXDgCa31k7blNYGxmMqL3lrrBFUSSqk+QB8AT0/PmidPnkxpOCKd27kTnnnGJBg2bIACBayOSGR2586Z6QLr14fff7c6GiHuunTJzO2eP78Zc5wtm9URCSGEta5cgQ4dTIPHDz80UwNKg0ch7CctprD8Ryn1s1Kqs1KqbczjYQ+itT6vtX4d+BC4GGfVR0A9oK5tXWL7TtRa+2mt/QoWLPgo5yAymJo1YelSOH4cmjQx0xEJkZo++sgMlxg50upIhIgvXz6YPBmCg2HIEKujEUIIa508CU8+CWvWwJQpZjiZJBiESDv2+u/mCtwGGpGCKSyVUt5KqYnADOA7pdRM26qFwCRgMrDSLhGLTOHpp2HBAggKMvMd37xpdUQis9q6FaZPN7NKlCljdTRCJNSsGfj7m+nYtm61OpqMZ/Zs8PY2H0S8vc3PQoiMJyDATHt++rSZQaJnT6sjEiLrsctwifTGz89P79ixw+owRBqaMwe6dDFvshctAmdnqyMSmUl0NNSpY96wHDwIuXJZHZEQibt6FSpXNtOr7t4Nbm5WR5QxzJ4NffqYae1iuLnBxInmb4sQImP49Vfo1s00Cl+2DCpWtDoiITKvVBsuoZTqb/s6Rin1w72PlBxbiIfRubOZym3ZMujRw3woFMJepk+H7dvNHWJJMIj0LHdumDoVDh2CQYOsjiZ90xrOnDHD7l5/PX6CAczPcg2FyBi0Nn+j27eHatVMNZckGISwTkqHSxywfd0B7EzkIUSaeeUV+OYb+PlneOMN8wdHiJS6csU0jHr8cbmjKTKGBg3Mh+ZRo2D9+offf/To0fj6+uLj48OoUaMS3WbdunVUq1YNHx8f6tWrF7t85MiR+Pj44OvrS+fOnbl169ajnYSdRUebKY/nzze9VZo0gcKFTePgli3N//PEhISkbZxCiId3546pRBowADp2hNWrzfS+QgjrpGgKS611TH/1cK31L3HXKaVeSMmxhXgUAwbA5cswbBjkzQtffWV1RCKj++ILuHDBVMkoZXU0QjyYYcPMWOSXX4Y9eyBnzgfbLzg4mEmTJhEQEICLiwtNmjShefPmlC1bNnabsLAwXnvtNVauXImnpyfnz58H4MyZM/zwww/s378fV1dXOnTowNy5c+nRo0cqnGHS7tyBAwfMcJFdu8zXwEC4ds2sd3ICHx8z3Wf16ubx4otw6lTCY5UokaahCyEeUlgYvPAC/PWXqTz6/HNp8ChEemCv/4YfPeAyIVLd11+bqoavvzalc0I8qn/+gdGjTTM9v0RHnAmRPuXIYYb5nDgBH3zw4PsdOHCAOnXq4ObmhpOTE/Xq1WPRokXxtvn5559p27Ytnp6eABSKc8swMjKSmzdvEhkZSXh4OMWKFbPH6SQpPNyURY8fb+5k1qplhjRVrWqGzk2eDJGRZoz25Mlm6uPr103SYepUePNNeOop8/cisf4VZctKVZx4OI9aCXTw4EGqVasW+8idO3eS+wvj+HEzg8T69TBtGnz5pSQYhEgvUlTJoJRqCjQDit/TgyE3EJmSYwvxqJSCceNM+euAAaaioU8fq6MSGY3W8M475sPa0KFWRyPEw3vySXj/fRg+HNq0gUaN7r+Pr68vgwYNIjQ0FFdXV5YvX47fPRm2Q4cOcefOHerXr8+1a9d4++236d69O8WLF6dfv354enri6upKo0aNaPQgT/qALl82yYG4FQr//HO3B4+7O9SoYRIH1aub78uWBUfH+x87ZijUoEFmiISnp2mguXQpDBxokhBC3E9KKoHKly9PYGAgAFFRURQvXpw2bdpYcRoZwrZtZlaxiAj480+oX9/qiIQQcaUoyQCcxfRjaEX8HgzXgHdTeGwhHpmjI8yYYTqt9+0LefKYcXpCPKilS+GPP2DkSBnbKTKuL74wQ338/WHvXpN0TU7FihUZMGAADRs2JGfOnFStWhUnp/hvFSIjI9m5cyerV6/m5s2bPP7449SpU4eCBQuyePFijh8/Tt68eXnhhReYNWsWXbt2fei4z527m0iISSqcOHF3ffHiJpHQvv3dIQ+enikb0tSlS/y+K1rDq6+aXj/u7tC//6MfW2QNcSuBgNhKoP5xfnmSqwSKsXr1akqXLo2Xl1faBJ7B/PILdO8OxYrB8uVQvrzVEQkh7pXSngxBQJBS6met9R07xSSEXTg7mz9ETZpA166mhLZZM6ujEhnB7dvw7rumM/Xrr1sdjRCPLnt2M2zi8cdNZc7//nf/ffz9/fH39wdg4MCBeHh4xFvv4eFBgQIFyJEjBzly5ODpp58mKCgIgJIlS1KwYEEA2rZty+bNm5NNMmgNx47Fr07YvRv+++/uNmXLQu3aZhhcTEIhLRJ/UhUnHlZKKoHimjt3Lp07d07L0DMErU3Sb+BAU6n1229QoIDVUQkhEpPSSgYAJMEg0is3N/j9d3j2WWjXzpTU1a1rdVQivRs5Eo4eNb8vzs5WRyNEytSqZWZU+PJLaNvWlBgn5/z58xQqVIiQkBAWLlzIli1b4q1v3bo1b7zxBpGRkURERLBt2zbeffddbty4wdatWwkPD8fV1ZXVq1fH+4AVGXm3IWNMUiEw0FScgWnIWKkSNG16N5lQtaqZltMq91bF5c4NnTpZF49I31JSCVSuXDkAIiIiWLJkCV/LGJ14IiJMZdHUqaZR65QpJokqhEif7JJkECI9y5PHdFl/+mnTTXztWjNWV4jEnDljPow9/zw0bGh1NELYxyefmIRrnz7mDmD+/Elv265dO0JDQ3F2dmbcuHG4u7szYcIEAPr27UvFihVp0qQJVapUwcHBgV69euHr6wtA+/btqVGjBo6OTnh6Vgf68MorJqmwdy/EzGjp6moSCF263O2f4OOTPj80xFTFNW1qGkjmzi1VcSJpj1oJFJNkWLFiBTVq1KBw4cJpHnt6dfmyGRq1Zg18+ikMGSKzPQmR3imdCdsm+/n56R07dlgdhkhnTp0yXcTDw2HjRqhQweqIRHrUtSssWAD790OpUlZHI4T9BAWZqoa2bWHuXPsdNyws8YaMUVFmfd68JokQU51QvboZQ/0gDRnTk6tX4ZlnzGvDH3+YxLUQ94pbCdSoUSO2bNmCu7t77PoDBw7wxhtv8McffxAREUHt2rWZO3dubKKuU6dONG7cmJdfftmqU0hXjh2D5s1NdeHkyaYXgxAifVBK7dRaJzr/ml0qGZRSvwP3ZiuuYJpC/qS1vmWP5xEiJUqUMPMo161r7lBv2gTSU0nE9fffMHu26TAvCQaR2VStCoMHw8cfm0RDhw4Pf4x//43fO2H3bvMhIEaxYiaJ0KbN3cSCl1fmuOuYO/fdqriWLaUqTiQuJZVA4eHhrFq1ip9++snKU0g3Nm+G1q3NDDJ//SWJPSEyErtUMiilRgMFgTm2RR2BfwFXILfWuluKn+QhSCWDSE5QkJnqqGBBU9EgFYkCzF3X2rVNw7mDB83UlUJkNpGR8MQT5m68u7sZHuTpaaZpvXdmhePHEzZk/Pffu9uUKRO/OqF69azxenr6tKmKu3FDquKESC1z50KPHuYG0fLlpgGsECJ9SfVKBqC61jpufvF3pdQGrfXTSql9dnoOIeyialUzpVvDhtC4Maxbd/9p3UTmN22a+TD188+SYBCZl5MTvPCCmY7xxg2z7ORJ6NXLVHe5ut5NKFy5YtY7OpqGjI0a3a1OqFrV9LvJijw8YNUqqYoTIjVoDV99ZSqu6taFRYuS7yEjhEif7FXJcABorLUOsf3sCazUWldSSu3WWldP8ZM8BKlkEA9i1Sozzq9WLTOLgHywzLrCwsxdkgoVYMOGzFHaLURSvL1NYiEx2bObBEJMZUKNGuDrmz4bMlotpiquQAGTaMgKVRzi7pC6kJDEq4DEo4uIMM1pp083/ZEmT4Zs2ayOSgiRlLSoZHgf2KSUOgoooCTwmlIqBzDdTs8hhF01bAhz5phxyW3bwpIl8scsqxoyBEJD4YcfJMEgMr+QkMSXKwXXrplqB3F/91bFrV1rhqCIzGv2bPMhODzc/HzypPkZJNGQUpcumfdi69ebv8mffip/j4XIyOw2u4RSKhtQAZNk+MfKZo9SySAextSp4O9vpkeaOzfjdTwXKbN/P1SpYsrFbb25hMjUkqpk8PKCEyfSOpqML6Yqzs/PfC9VcZlXUv93cuaE0aNN9Y+PD7i4pHloGdqRI+b/0IkT5j2ZJGyEyBiSq2RwsOPz1AR8gCpAB6WUTDIjMoSePWHECDNt4SuvmPGAImvQGt5+G3Llgi+/tDoaIdLG0KHg5hZ/mZubWS4eXkxV3LZt5k7s7dtWRyRSS1JVQNevm5sVNWqYhEONGubnsWPNrEXXr6dtnOnN6NGj8fX1xcfHh1GjRsVbt2kT1Ky5jsOH8+DpWY3vvqvG559/Hrt+5MiR+Pj44OvrS+fOnbl1SyasEyIjsNcUljOB0kAgYJsZGw3MsMfxhUht774Lly/DF1+YZmbDh0uZXlaweLGZFuuHH8y4aiGygpi7hDKu3H7atYNJk8wHyy5dTFWcDDvJXPbtAwcHMxPRvTw9zd+SmKapu3bB77+bu/Jg3k+UKxe/10n16lmjoWFwcDCTJk0iICAAFxcXmjRpQvPmzSlbtiw//wwvvwyFCkGNGnVZu3ZpvH3PnDnDDz/8wP79+3F1daVDhw7MnTuXHj16WHMyQogHZq8/gX5AJW2vsRdCWOCzz0wDwBEjzLjajz+2OiKRmm7eNMklHx949VWroxEibXXpIkkFe+vZ08zI8d57pipu8mRJVmcWf/5pZmXJmdNUqsS9me7mZmZDKFvWPDp0MMu1hrNn408Du2WLSUDFKFHibsIhJvlQvHjm+r05cOAAderUwc1WPlWvXj0WLlzE7dv9GTwY6tUz/2cmTkx8/8jISG7evImzszPh4eEUK1YsDaMXQjwqeyUZgoEiwDk7HU+INKcUjBpl3iR+8omZ1vKNN6yOSqSW77834z9Xr5Y7jkII+3j3XZOs/vxz8zdEquIyvp9+gtdfNwnppUvNDEQPUgWklEkYFC8OLVrcXR4aCoGB8ZMPS5bcHapZoEDCiocyZUwVRUbk6+vLoEGDCA0NxdXVlWXLlhMW5sfBg9C9u6kA2rwZtmzZQtWqVSlWrBjDhw/Hx8eH4sWL069fPzw9PXF1daVRo0Y0atTI6lMSQjwAe01huRaoBgQAsaMRtdatUnzwRyCNH0VKREaaJpCLF8PMmWYaJZG5nDplpqts2tT04hBCCHuJ6fUyZowZgidVcRlTdDT0728S0s2amQqEXLlS57lu3IA9e+4mHXbvhr174c4dsz5nTqhW7W7yoXp1qFQp4zSYnDJlCuPGjSNbtpycOFGJf/915csvRzJwoEnGXL16FQcHB3LmzMny5ct5++23OXz4MJcvX6Zdu3bMmzePvHnz8sILL9C+fXu6yhszIdKF5Bo/2ivJUC+x5Vrr9Sk++COQJINIqVu3TKfj9evh11+hdWurIxL21Lkz/PYbHDhguoULIYQ9RUebseYzZpieL2++aXVE4mGEh5sbDIsWmYrGkSPTvuItIsLMfhS3z0NQ0N0mki4u4Osbv+qhSpX0O7vJ4cPmfdWxYwPp3t2DqVNfS3Jbb29vduzYwdq1a1m5ciVTpkwBYMaMGWzdupUff/wxrcIWQiQjuSSDXV4yrUomCJFasmc3H0Kfew46doTly+HZZ62OStjDxo3mjtSnn0qCQQiROhwcYMoUuHoV3nrLDJ3o1s3qqMSDOHcOWrWCnTvNtJRvvWVNHC4upnqhWjWTsAKTvDpyJP5Qi8WLze8amN+7cuXi93moXh3y5bPmHGIsXnyenj0LoXUIxYsv5Pvvt8Rb/++//1K4cGGUUgQEBBAdHU3+/Pnx9PRk69athIeH4+rqyurVq/HzS/TzjBAinUlRJYNSapPW+iml1DXMbBKxqwCttc6d0gAfhVQyCHu5dAmeftqM3V+zBmrXtjoikRJRUVCzpvl3/eefhNP4CSGEPUlVXMayd6/597p0yUxL2rKl1RHdn9Zw+vTdioeYBMSpU3e38fKKn3SoUQOKFUubfiEzZ8JLL9XF2TmUUqWcGTt2BA0aNGDChAkA9O3bl7FjxzJ+/HicnJxwdXVlxIgRPPHEEwAMHjyYefPm4eTkRPXq1Zk8eTLZsmVL/cCFEPeV6sMl7EUpVQkYAoQCq7XWC2zLiwIfYZIXc7XWfyd3HEkyCHs6exbq1jXNvNavN+WJImOaMMHMJDFv3t0O4EIIkZquXTNVcYGBsGKFVMWlVytXmr8LuXKZBo/Vq1sdUcpcvGh+5+L2eTh06G6DyYIF4zeXrF4dSpe2X4NJrWHIENME9ZlnTJLN3d0+xxZCpA9pkmRQSjkChYkzBENrHfKQx3gfCNBab1RKLYlpHKmU+h64BeQERmitTyZ3HEkyCHs7fhyefNJ8v2kTlCplbTzi4V26ZMpIfX1h7Vrp+C6ESDuXLpmp+o4fNzPaPPaY1RGJuMaPN70XqlQxCYbixa2OKHVcv276OsSteNi3726DyVy54jeYrFEDKlYEZ+eHe55bt8DfH37+2Qz1mDAh4zSpFEI8uLRo/PgmMBj4D4i2LdZa6yoPeZxCtuOEA09orZ+0LV8JvA2cB77TWvdKZN8+QB8AT0/PmidPJpuHEOKh7dtnhk7kyWMSDTJVc8by5pvw44/mjVWVh3plEkKIlDt3Dp56Ci5fNtMgSlWc9aKi4IMPTGPHFi3MEImcOa2OKm1FRJj3N3H7PAQFmRkvALJlM7+rcSseqlRJONxw9uy7U3u6uMDt2/DVV/Dhh5LUFyKzSoskwxHgMa11aIoPRmxVxEKtdWvbz5OBgcBlYJrWOtm5a6SSQaSW7dtNqauXlxk6kT+/1RGJB7F3r3lj9MorMG6c1dEIIbKq48dNokFrqYqz2o0b8OKLsGSJae44YgQ4OlodVfoQFWVmg7i3z8OlS2a9g4OZBjom6RAaCqNGwc2bd4/h4gJTp0KXLpacghAiDaRFkmEt0FBrHZnC43hjkgk5gPHAK1rrbrZeDf0xzSUnS08GYaW1a6FpU6haFf76K/XmzRb2oTU0aGDuzBw6JIkhIYS1pCrOemfPmqaOgYFmBok33rA6ovRPa9NMMm7Fw+7dpulkUry8TONsIUTmlBZJhilAeWAZcDtmudZ6RIoP/ggkySBS25Il0LateaO4fLmZ8lKkTwsWwAsvmAqG15KellsIIdJMTFWcp6cZOiHJz7QTFGSGRoSFmemMmze3OqKM7cIFKFz4bkPJuJQy024KITKn5JIMduohSwiwCnABcsV5CJEptWoF//ufqWro1Olu0ySRvoSHw/vvm/GjffpYHY0QQhi1aplk9dGjpjLu2jWrI8oali83w1XAVJFIgiHlChY0ybLEJLVcCJH5Od1/k/vTWn9mj+MIkZF07QpXrpgyy549Yfp0+039JOzju+9ME6oZM8DJLq92QghhH888A7/8Am3aQOvWUhWX2saOhbffNrMn/P67DFOxp6FDTSI/PPzuMjc3s1wIkTWl6CORUmqU7evvSqkl9z7sEqEQ6djrr8OXX8KsWebNi51mhBV2MHjwaD77zJfcuX3YvXtUkttt374dR0dHFixYAMDBgwepVq1a7CN37tyMGpX0/kII8ahatrxbFdexo1TFpYaoKPP3+c03zTCJDRskwWBvXbrAxImmB4NS5uvEidL0UYisLKX39mbavg5PaSBCZFQDB5opyb7/Htzd4fPPrY5IBAcHM2rUJLJlC2D3bhf69GlC8+bNKVu2bLztoqKiGDBgAI0bN45dVr58eQIDA2PXFy9enDZt2qRl+EKILESq4lLP9evQuTMsXQrvvmuq22QGidTRpYskFYQQd6UoyaC13mn7ut4+4QiR8Shl3riEhcEXX0DevPDee1ZHlbX98ssBrl6tw2efuVGqFNSrV49FixbRv3//eNuNGTOGdu3asX379kSPs3r1akqXLo2Xl1dahC2EyKJef938Dfn4Y/M35IcfzN8W8ehOnzaVInv3wo8/wquvWh2REEJkHXYZpayUKgt8DVQCYkcUaq1lBmiRJSgFP/0EV6+aRoN585o7UiLtRUbCnDm+ODkNomfPUMLDXVm+fDl+fvGb3545c4ZFixaxZs2aJJMMc+fOpXPnzmkRthAiixs40CQahg83f0O++MLqiDKu3bvN0Ihr10wVQ5MmVkckhBBZi71aoU0DBgMjgWeAlwHJwYssxdHR9Ga4ehV694bcuaF9e6ujynp++gkOH67Iq68OoFWrhuTMmZOqVavidE/nx3feeYdhw4bhmETtbEREBEuWLOHrr79Oi7CFEFmcUvDttybR8OWXJtHw/vtWR5Xx/P67GSKRLx/8/TdUrmx1REIIkfXYK8ngqrVerZRSWuuTwBCl1EZM4kGILMPFBX79FRo3hhdfhFy5zPcibYSGwiefmPnnx43zRyl/AAYOHIiHh0e8bXfs2EGnTp0AuHjxIsuXL8fJyYnnn38egBUrVlCjRg0KFy6cpucghMi6lIIJE0yPhn79TKLB39/qqDKOH34wvRdq1DBThBYtanVEQgiRNdkryXBLKeUAHFZKvQGcAQrZ6dhCZCg5cpjyzGeegbZtYdUqeOIJq6PKGj75xFSSjB4NFy6cp1ChQoSEhLBw4UK2bNkSb9vjx4/Hft+jRw9atGgRm2AAmDNnjgyVEEKkuZiquGvXzLSAefJIVdz9REaa5MLYsWZK0Jkzzd9iIYQQ1rBX/+J3ADfgLaAm0BV4yU7HFiLDyZsXVq6E4sWhWTMICrI6oswvKMgMlXjtNfD1hXbt2lGpUiVatmzJuHHjcHd3Z8KECUyYMOG+xwoPD2fVqlW0bds2DSIXQoj4YqriHn/cVMX98YfVEaVf165Bq1YmwdCvHyxYIAkGIYSwmtJap+wASjkC32itP7BPSCnn5+end+zYYXUYQhASAk89Bbdvw8aNUK6c1RFlTlpD/fqwbx8cPmymEhVCiIwuLMxUxR08aKrinnzS6ojSl1OnTIPHfftg3Dh45RWrIxJCiKxDKbVTa+2X2LoUVTIopZy01lFATaVksiUh7uXpad4Yag0NG5o3RML+5s+HDRtg6FBJMAghMo+8eU0VQ4kS0Lw5BAZaHVH6sXMnPPYYnDgBy5dLgkEIIdKTlA6XCLB93Q0sVkp1U0q1jXmk8NhCZArly5s3iWFhJtFw/rzVEWUOs2eDtzc4OECXLiah06uX1VEJIYR9FSpkktW5c5tGwocOWR2R9RYvhqefNsNK/v4bGjWyOiIhhBBx2asnQz4gFHgWaAG0tH0VQgDVq5tmkCEhZr7uK1esjihjmz3bNEQ7edJUiURFwX//wdy5VkcmhBD2F7cq7rnnsm5VnNYwcqRp7ujjA1u3mh48Qggh0peUJhkKKaXeA4KBvbav+2xfg1N4bCEylbp1TSOvvXuhZUsID7c6ooxr4MCE1+/2bRg0yJp4hBAitcVUxV25kjWr4iIjTWPf994zMzetWwdFilgdlRBCiMSkNMngCOS0PXLF+T7mIYSIo2lTMzXZpk1mSrKICKsjSv+0NmNu580zby6ffNJUhCQmqeVCCJEZVK8Oy5Zlvaq4q1dNg8cJE2DAANOHx83N6qiEEEIkxSmF+5/TWn9ul0iEyCI6djRvmPr0ge7dTem/o6PVUaUfYWGwfTts22YeAQF379hlzw41a0KuXGbasnt5eqZpqEIIkeaeegoWLjTTNrZoYaobMvMH7pAQc54HDsCkSdJ7RwghMoKUVjLIjBJCPILeveHbb83d+ddeM3frU2L06NH4+vri4+PDqFGjEqxfvHgxVapUoVq1avj5+bFp0yYADh48SLVq1WIfuXPnTnT/1BIRATt2wI8/wksvQYUKZnaIRo3gk0/g6FFo1sys37nTJGc2bYLx4xO+qXZzM7NLCCFEZtekiamK+/vvzF0Vt2OHmUEiJARWrJAEgxBCZBRKp+DTjVIqn9b6kh3jsQs/Pz+9Y8cOq8MQ4r4GDoSvv4b+/WHYsEc7RnBwMJ06dSIgIAAXFxeaNGnC+PHjKVu2bOw2169fJ0eOHCil2LNnDx06dOCff/6Jd5yoqCiKFy/Otm3b8PLySslpJUprOH78bnXCtm2wa5fppQBQuLB5M/nYY1C7NtSqBXnyJH282bNND4aQEFPBMHSomWVCCCGyikmTTFVcx46Zrypu0SLzml64sBkiUqmS1REJIYSISym1U2vtl9i6FA2XSI8JBiEykqFDzfCAb781d/A//PDhj3HgwAHq1KmDm+3Wfr169Vi0aBH9+/eP3SZnzrstUm7cuIFSCYuQVq9eTenSpe2WYLh8+W4yISDAPC5cMOtcXc2whzfeMAmFxx4ziYJEwkpSly6SVBBCZG29e5u+DB98YKa4/Omnh3sdTY+0hu+/N8n32rXNdJWFC1sdlRBCiIeR0p4MQogUUArGjjVvEj/6yNy5f/XVhzuGr68vgwYNIjQ0FFdXV5YvX46fX8Kk4qJFi/joo484f/48y5YtS7B+7ty5dO7c+ZHOIyICgoLi91GImctdKahY0YypjalS8PUFZ+dHeiohhBBx9OtnkrpffQV585qquIyaaLhzxySfJ06EF16A6dNNUloIIUTGkqLhEumVDJcQGc2dO2ZKrmXLTMnrw37WnzJlCuPGjSNnzpxUqlQJV1dXRo4cmei2GzZs4PPPP+evv/6KXRYREUGxYsXYt28fhe9zy0hrOHbsbkJh2zbYvfvumOAiRe4Oe3jsMfDzM3fYhBBCpA6tzYfzH380yYaPPrI6ood35YpJLKxaZYYSfvEFOKS0c5gQQohUk2rDJYQQ9uHsbKbkatrUzDiRK5e58/+g/P398ff3B2DgwIF4eHgkue3TTz/N0aNHuXjxIgUKFABgxYoV1KhRI9EEQ2howtkeQkPNOjc3M+zhrbfuJhU8PDLuXTQhhMiIlIIxY8zwu4EDTUXDw1bFWenECfM37+BBmDoVXn7Z6oiEEEKkRLpKMiilKgFDgFBgtdZ6QZx1lYHVQCmt9XVrIhQi9bi6wpIl0KCBuZuzciXUq/dg+54/f55ChQoREhLCwoUL2bJlS7z1R44coXTp0iil2LVrFxEREeTPnz92/Zw5c+jcuTO3b0Ng4N1eCtu2wZEjZhulTOOt1q3vJhR8fMApXb2KCCFE1uTgAP/7n5ne9/XXzfC7F1+0Oqr727bNTMcZEWGm43z2WasjEkIIkVLp7eNBU2CM1nqjUmoJsABAKeUM9AJWWBmcEKktd24zTdfTT0PLlrBmjRlucD/t2rUjNDQUZ2dnxo0bh7u7OxMmTACgb9++/Prrr8yYMQNnZ2dcXV2ZN28eoDh8GDZsCGfx4lUcPvwTffveHfZQtKhJJPj73x32kCtX6p27EEKIlHF2NlMjN2tmquJy5364qri0tmABdOtm/t6sX2+mMRZCCJHxpaueDEqpQsBgIBx4Qmv9pG35R8AvwMfAG/erZJCeDCKjO3MGnnrK3JHasME+U3ddvJhwtodLtvlh3NxMEiFuL4XixWXYgxBCZETXrpmKgODgh6uKSytam1mVPvwQnngCfvsNCha0OiohhBAPI7meDOkqyRBDKeUILNRat7b9PA84BzQCpmitv09knz5AHwBPT8+aJ0+eTMOIhbC/I0dMosHJCTZtAm/vB9/31i0z7CFuH4WjR806pcwwh7gJhUqVZNiDEEJkJhcvmuTCqVMPXhWXFu7cMf0ipkyBTp1g2jTInt3qqIQQQjysDJNkUEp5AwOBHMB44BWtdbc46/+HVDKILGTvXvMm0dkZXFxMhYOnJwwdCl26mG2io01CIu5sD0FB5o0cmIqE2rXvJhRq1pRhD0IIkRWkRlVcSoSFQfv2sHo1fPwxfPaZzCAhhBAZVYZJMtiLJBlEZvLZZzBkSPxl2bKZmSjCw02VQliYWZ4jB9SqFT+pULx4WkcshBAivTh61CQaHB0fvirOno4fh+bNTVJ80iR46SVr4hBCCGEfkmQQIgPz9oakRv9UqRI/oVCpknkjKYQQQsSIqYrLlw82bjSNFtPSli1mZqLISFi4EOrXT9vnF0IIYX/JJRlkFLYQ6VxISOLLlTLDIoQQQojkVK4My5fDc89B48awbp1JOKSF+fPNTBceHrBsGZQvnzbPK4QQwjoyEk6IdM7T8+GWCyGEEPeqUwcWL4aDB82whevJdrdKOa3hq6+gY0czjG/rVkkwCCFEViFJBiHSuaFDzRSTcbm5meVCCCHEg2rQAObOhe3b4fnn4fbtlB1v9OjR+Pr64uPjw6hRo2KXR0SAvz8MGjSbvHmrEBZWhVatniDIVn538OBBqlWrFvvInTt3vP2FEEJkbJJkECKd69IFJk4ELy8zRMLLy/wcM7uEEEII8aDatIGpU80MD507mz4JjyI4OJhJkyYREBBAUFAQS5cu5fDhw1y+DE2amKkpe/YsydGj69m7dw+ffPIJffr0AaB8+fIEBgYSGBjIzp07cXNzo02bNnY8SyGEEFaSngxCZABdukhSQQghhH10725mJXr7bejdG6ZMefipJA8cOECdOnVws5Xa1atXj8mTF7F4cX+OHYMZM6Bbtydit69Tpw6nT59OcJzVq1dTunRpvLy8UnJKQggh0hFJMgghhBBCZDFvvWUSDYMHQ548MHKkqZZ7UL6+vgwaNIjQ0FBcXV2ZN285R4/64eYGf/0FTz8df/spU6bQtGnTBMeZO3cunTt3TtnJCCGESFckySCEEEIIkQV98glcvgyjRoG7u0k4PKiKFSsyYMAAGjZsyM2bOTl0qCq5czuxdSuULRt/27Vr1zJlyhQ2bdoUb3lERARLlizh66+/TvnJCCGESDckySCEEEIIkQUpBd9/byoahgyBvHnNEIoH1bOnP+fO+fPJJ1CixEDefNMjQYJhz5499OrVixUrVpA/f/5461asWEGNGjUoXLhwSk9FCCFEOiJJBiGEEEKILMrBASZNgqtX4Z13zNCJHj3uv19EBHTrdp758wvRpk0I+/YtpFevLfG2CQkJoW3btsycOZNy5colOMacOXNkqIQQQmRCkmQQQgghhMjCnJzg55+hZUsz9WSePGYWiqRcugRt28L69e0oWDCUo0ed+fHHcbi7uzNhwgQA+vbty+eff05oaCivvfaa7Xmc2LFjBwDh4eGsWrWKn376KdXPTwghRNpSWmurY7A7Pz8/HfNHTAghhBBC3N+NG9CwIezcCcuWwXPPJdzmyBFo1gxOnjTTVL74YtrHKYQQwnpKqZ1aa7/E1j3khEVCCCGEECIzypHDJBcqVIDnn4etW+Ov37QJ6tQxlQxr1kiCQQghROIkySCEEEIIIQAzy8Qff0DRovDss1CsmOnbUKAA1K8P+fOb5MOTT1odqRBCiPRKkgxCCCGEECJWkSLw+utw6xacOwdaQ2io+fr++1CmjNURCiGESM8kySCEEEIIIeIZNcokFeKKjoavvrIkHCGEEBmIJBmEEEIIIUQ8ISEPt1wIIYSIIUkGIYQQQggRj6fnwy0XQgghYkiSQQghhBBCxDN0KLi5xV/m5maWCyGEEMmRJIMQQgghhIinSxeYOBG8vEAp83XiRLNcCCGESI6T1QEIIYQQQoj0p0sXSSoIIYR4eFLJIIQQQgghhBBCCLuQJIMQQgghhBBCCCHsQpIMQgghhBBCCCGEsAultbY6BrtTSl0ATlodx0MqAFy0Ooh0Rq5JQnJNEpJrkji5LgnJNUlIrklCck0SkmuSkFyTxMl1SUiuSUJyTRLKiNfES2tdMLEVmTLJkBEppXZorf2sjiM9kWuSkFyThOSaJE6uS0JyTRKSa5KQXJOE5JokJNckcXJdEpJrkpBck4Qy2zWR4RJCCCGEEEIIIYSwC0kyCCGEEEIIIYQQwi4kyZB+TLQ6gHRIrklCck0SkmuSOLkuCck1SUiuSUJyTRKSa5KQXJPEyXVJSK5JQnJNEspU10R6MgghhBBCCCGEEMIupJJBCCGEEEIIIYQQdiFJBosppZ5XSk1SSi1WSjWyOp70QClVUSk1QSm1QCn1qtXxpBdKqRxKqZ1KqRZWx5JeKKXqK6U22n5f6lsdT3qglHJQSg1VSo1RSr1kdTzpgVKqru13ZLJSarPV8aQHSilPpdQSpdRUpdSHVseTHiilKiml5iulxiul2lsdj5WUUqWUUlOUUgtsP79oe68yQymVw+r4rJLIdXlPKbVLKeVrdWxWSeSaTLM9piulHK2OzwqJXJP+tr8/i5VS+ayOzwr3XhPbMn+l1Hor47JSIr8nK2zvVYZbHZs9SJLBYlrr37TWvYEeQEeLw0kXtNYHtNZ9gQ5AppnKxQ4GAPOtDiKd0cB1IDtw2uJY0ovWQHHgDnJNANBab7S9piwFplsdTzpRDlimte4JVLI6mHSiKTBGa/0q0N3qYKyktT6mtfaPs6iN7b3KfKCtRWFZ7t7rorUeASyxMCTLJXJNXtZavwyEAcUsC8xCiVyTb7XWvYB1QAnLArPQvddEKVUSyA9csC4qayXyOhuO+Wz+n0Uh2ZUkGdKPj4FxVgeRXiilWgGbgNVWx5IeKKWeA/aTSV547Gij1ropJgHzmdXBpBPlgS1a6/cAqQSK70VgjtVBpBO7gU5KqTXAWquDSSdmYq7Jd5g3v+KumAZeJwEPKwMR6Z9SqgKQTWt9yupY0gOllItSajLQHPN/KEtTSjkA7wOjLA4lvXlBa90HKKqUqmJ1MCklSQaLKWMYsEJrvcvqeNILrfUSrfUTQBerY0knngHqYD4k9ba9QGd5Wuto27eXgWxWxpKOnMZcD4AoKwNJT5RSnsAVrfVVq2NJJ14GBmutn8W88c3ytNbntdavAx8CF62OJ53yRCqkRDJsQ0f6AW9ZHUt6obWOsFUyTMRUG2Z1pYCCwLdAVaVUM4vjSRfivKc9D+S0MhZ7cLI6AMGbwHNAHqVUGa31BKsDspptbH1bzIfG5ZYGk05orQcBKKV6ABfjvBBlaUqptkBjIC8w1tpo0o2FwBilVF1gg9XBpCP+wDSrg0hHVgJDlFIvAicsjiVdUEp5AwOBHMB31kZjLaVUfmAoUF0p9RHwm1JqPOAKvG5pcBZK5LqcBVoAFZVSX2qt91oaoAXuuSaDgDeAFcAPtmuS5ZJSifye5AXcAHfMHfwsJ+41wdyx72hb7qG1zpLv9RP5PamAGTLhhEnAZGgyhaUQQgghhBBCCCHsQkquhRBCCCGEEEIIYReSZBBCCCGEEEIIIYRdSJJBCCGEEEIIIYQQdiFJBiGEEEIIIYQQQtiFJBmEEEIIIYQQQghhF5JkEEIIIQQASimtlPo+zs/9lFJD7Pwcmx9gmxNKqQKJLB+ilOpnz3iEEEIIYV+SZBBCCCFEjNtA28Q+4NuL1vqJ1Dp2cpRSjlY8rxBCCJHVSJJBCCGEEDEigYnAuw+ysVLqf0qpH5RSm5VSx5RS7eOs+0AptV0ptUcp9Vmc5ddtXx2UUj8qpfYppZYqpZbH3R94Uym1Sym1VylVIc7yqkqpNUqpw0qp3rZjKaXUd0qpYNv2HW3L6yul1iqlfgb2KqVyKKWWKaWCbNt2fOQrJYQQQohEOVkdgBBCCCHSlXHAHqXUtw+4fVHgKaACsARYoJRqBJQFagMKWKKUelprvSHOfm0Bb6AyUAg4AEyNs/6i1rqGUuo1oB/Qy7a8ClAHyAHsVkotAx4HqgFVgQLAdqVUzHPVBny11seVUu2As1rr5gBKqTwPeI5CCCGEeEBSySCEEEKIWFrrq8AM4K0H3OU3rXW01no/UNi2rJHtsRvYhUlAlL1nv6eAX2z7/gusvWf9QtvXnZhkRIzFWuubWuuLtn1q2441R2sdpbX+D1gP1LJtH6C1Pm77fi/wnFJqmFKqrtb6ygOeoxBCCCEekCQZhBBCCHGvUYA/plrgfm7H+V7F+fq11rqa7VFGaz3lnv0UyYs5bhTxKy/1Pdvp+xzrRuyGWh8CamKSDV8rpT69TwxCCCGEeEiSZBBCCCFEPFrrS8B8TKLhUfwB9FRK5QRQShVXShW6Z5tNQDtbb4bCQP0HPHZrpVR2pVR+2z7bgQ1AR6WUo1KqIPA0EHDvjkqpYkC41noWMByo8fCnJoQQQojkSE8GIYQQQiTme+CNR9lRa/2nUqoisEUpBXAd6Aqcj7PZr0ADIBg4BGwDHmT4QgCwDPAEvtBan1VKLcL0ZQjCVDb011r/e0/DSDD9H75TSkUDd4BXH+X8hBBCCJE0pfW9VYdCCCGEEKlPKZVTa33dVpUQADxp688ghBBCiAxKKhmEEEIIYZWlSqm8gAumKkESDEIIIUQGJ5UMQgghhEiWUmoQ8MI9i3/RWg+1Ih4hhBBCpF+SZBBCCCGEEEIIIYRdyOwSQgghhBBCCCGEsAtJMgghhBBCCCGEEMIuJMkghBBCCCGEEEIIu5AkgxBCCCGEEEIIIexCkgxCCCGEEEIIIYSwC0kyCCGEEBmIUqq+Uup0nJ/3KaXqP8Jx6iqlDtoztvs833WlVKm0er4kYnhVKfWfLZb8djjeCaXUc/aI7T7P88DXTimllVJlkljXQym1yb7RCSGEEPFJkkEIIUSGZvugF6GUKnDP8kDbBy5vi0JLE1prH631uvttd++HT631Rq11+dSISSm1TinVK+4yrXVOrfWx1Hi+B4zJGRgBNLLFEmpVLA/L6msnhBBCPAxJMgghhMgMjgOdY35QSlUGXK0L58EppRytjiGLKAxkB/Y97I7KkPdMcSilnKyOQQghRPokfzCFEEJkBjOB7nF+fgmYEXcDpVQ2pdRwpVSIrWR+glLK1bbOXSm1VCl1QSl12fa9R5x91ymlvlBK/a2UuqaU+vPeyok429ZXSp1WSg1USl20VVp0ibP+f0qp8Uqp5UqpG8AzSqliSqlfbc9/XCn1VpztXW37XFZK7Qdq3fN8sSX7SilH2/MetcW5UylVQim1wbZ5kK30vmMiwy5OKKX6KaX2KKWuKKXmKaWyx1nfXyl1Til1VinVK6myfKXUUKAuMNb2XGNty2O3t53Pj0qpFbZt/lZKFVFKjbKd5z9Kqepxjpnc9amtlNqhlLpq+3cdkUhM5YCYoSFhSqk1tuVPKKW22853u1LqiXv+zYcqpf4GwoFkhysopSrYYuuUxHqtlOqrlDpsO8dxSikVZ31PpdQB27o/lFJe9+wbc+3yK6V+t53vdqXUlyrhEIjnknoecwg1xnbO/yilGtxznZcopS4ppY4opXrHWTdEKbVAKTVLKXUV6PEg114IIUTWI0kGIYQQmcFWILdSqqIylQEdgVn3bDMMKAdUA8oAxYFPbescgGmAF+AJ3ATG3rP/i8DLQCHABeiXTDxFgAK253gJmKiUijs04UVgKJAL2Az8DgTZtm8AvKOUamzbdjBQ2vZobDteUt7DVHQ0A3IDPYFwrfXTtvVVbaX385LYvwPQBCgJVAF6ACilmtiO/Rzm2tVLKgCt9SBgI/CG7bneSOa5PsZcp9vAFmCX7ecFmKENKFNBkNz1GQ2M1lrnxlyj+YnEdAjwsf2YV2v9rFIqH7AM+AHIb3u+ZSp+r4ZuQB/Mv9PJpM5ZKVUD+BN4U2s9N6ntgBaYJFFV2/k3tu3/PDAQaAsUxFy/OUkcYxxwA/M79hKJ/z4k+jw2jwHHMNd5MLDQdi2wPedpoBjQHvgqbhICaI35t8kLzOYBrr0QQoisR5IMQgghMouYaoaGwD/AmZgVtju5vYF3tdaXtNbXgK+ATgBa61Ct9a9a63DbuqEk/CA9TWt9SGt9E/Nhqtp94vlEa31ba70e82G2Q5x1i7XWf2uto4HKQEGt9eda6wjb2PtJMbHZ9htqi/sU5kNxUnoBH2utD2oj6CF7D/ygtT6rtb6E+WAfc44dMOe/T2sdDnz2EMdMyiKt9U6t9S1gEXBLaz1Dax0FzANiKhlqkfz1uQOUUUoV0Fpf11pvfcDnbw4c1lrP1FpHaq3nYH5vWsbZ5n+2c47UWt9J4jh1gSXAS1rrpfd5zm+01mFa6xBgLXev7yvA11rrA1rrSMzvZrW41QwQO7SmHTDY9ru6H5j+EM8DcB4YpbW+Y0s2HQSaK6VKAE8BA7TWt7TWgcBkTKIlxhat9W9a62jb/4NHvfZCCCEyMUkyCCGEyCxmYioEenDPUAnM3WE3YKdSKkwpFQastC1HKeWmlPpJKXXSVgq+Acir4vdL+DfO9+FAzmRiuay1vhHn55OYu8MxTsX53gsoFhOXLbaBmB4C2PaLu32Sd9SBEsDRZNbfT1LneG8Mcb9/VP/F+f5mIj/HPPf9ro8/pkLlH9vwgRYP+PzFSHgtT2KqJWI8yHn2BTZrrdc+wLZJXV8vYHSc87sEqHtiAfP76sT9/y2S+109o7XWcX6O+d0sBsQk4OKuS+56POq1F0IIkYlJkkEIIUSmoLU+iWkA2QxYeM/qi5gPrj5a67y2Rx6tdcyHr/eB8sBjttLvmOEFikfjrpTKEednT+Bs3HDjfH8KOB4nrrxa61xa62a29ecwyYO4x0rKKUzZur2dAzzi/FwiqQ1t9H3WP4xkr4/W+rDWujNmGMswYME91z4pZzEf7uPyJE4FDA92Hn0BT6XUyAfYNimngFfuOUdXrfXme7a7AETycP8W9yp+T4+GmN/Ns0A+pVSue9YleT1ScO2FEEJkYpJkEEIIkZn4A8/eU0WAbVjCJGCkUqoQgFKqeJxx/bkwSYgw2/j0wXaI5TOllItSqi5mjPwvSWwXAFxVSg1Qpsmjo1LKVykV0+BxPvCRMs0pPYA3k3nOycAXSqmyyqgSp8fAf9yneWEy5gMv23peuHG3l0VSUvJc90r2+iiluiqlCtr+jcNs+0Q9wHGXA+WUUi8qpZyUUh2BSsD9hjzc6xqmj8XTSqlvHnLfGBMw/8Y+AEqpPEqpF+7dyDaUZCEwxFZ9U4H4DU8fRCHgLaWUs+05KgLLbUNxNgNfK6WyK6WqYP4/zU7qQCm49kIIITIxSTIIIYTINLTWR7XWO5JYPQA4Amy1DYn4C1O9ADAKM+XlRUwTyZUpDOVf4DLm7vBsoK/W+p8kYo7C9AGohqnEuIhJFuSxbfIZpmz9OKa54MxknncEJiHwJ3AVmMLdqTyHANNtJfkdEt89cVrrFZheEGsx13CLbdXtJHYZDbS3zW6QXA+JB3nu+12fJsA+pdR12/N2svV5uN9xQzHJn/eBUKA/0EJrffERYgzD9AJpqpT64hH2X4SpBJhr+90MBpomsfkbmHP/F/O7MIek/x0Ssw0oi7mOQ4H2cfp2dAa8Mb+3izC9H1Ylc6xHuvZCCCEyNxV/WJ4QQgghUkIpVR+YpbX2uM+mGZZSqiLmg3A2W6NCYRGl1DCgiNY6uVlHhBBCiDQjlQxCCCGEuC+lVBvb8A93zF333yXBkPaUUhVsw2CUUqo2ZkjDIqvjEkIkTyn1tlIqWCm1Tyn1jm3ZPKVUoO1xQikVmMh+2ZVSAUqpINu+CWb3UUr1U0pppVSB1D8TIe7PyeoAhBBCCJEhvAL8DzPmfj3wmqXRZF25MEMkimGmo/weWGxpREKIZCmlfDHTKNcGIoCVSqllWuuOcbb5HriSyO63Mb2GriulnIFNSqkVMVPG2qafbQiEpPZ5CPGgJMkghBBC2JHWeh3xu/9nClrrJlbHIEBrvR0oY3UcQoiHUhHYqrUOB1BKrQfaAN/aflZAB+DZe3e0TTl73fajs+0Rd7z7SExPGUk2inRDhksIIYQQQgghROoJxsxAk982Q08z4k8/Wxf4T2t9OLGdbbPqBGKql1ZprbfZlrcCzmitg1I1eiEeklQyCCGEEEIIIUQq0VofsDVpXYWpSggC4va06YwZBpXU/lFANaVUXmCRbfjFMWAQ0Ci14hbiUWXK2SUKFCigvb29rQ5DCCGEEEIIIeI5c+YMzs7OFCpUCK01e/bsoWLFiri4uNx337Nnz+Lg4ECePHk4dOgQDg6mMD0iIgJnZ2cqVqyIs7Nzap+CEOzcufOi1rpgYusyZSWDt7c3O3YkNU26EEIIIYQQQqSd8+fPU6hQIUJCQmjUqBFbtmzB3d2dlStX8vXXX7N+/fpE97tw4QLOzs7kzZuXmzdv0qhRIwYMGECLFi3ibRfz+adAAZlgQqQNpdTJpNZlyiSDEEIIIYQQQqQX7dq1IzQ0FGdnZ8aNG4e7uzsAc+fOpXPnzvG2PXv2LL169WL58uWcO3eOl156iaioKKKjo+nQoUOCBIMQ6U2mHC7h5+enpZJBCCGEEEIIIYSwP6XUTq21X2LrZHYJIYQQQgghhBBC2IWlSQalVCWl1Hyl1HilVHul1DCl1ASl1G6lVON7tj1qW9fHqniFEEIIIYQQ4n5m752N9yhvHD5zwHuUN7P3zrY6JCHSjNU9GZoCY7TWG5VSS7TWrQCUUkuBv+7Z9jrgCpxK4xiFEEIIIYQQ4oHM3jubPr/3IfxOOAAnr5ykz+/mPmmXyl2sDE2INGH1cImZQCel1HdAfgClVG1gl20+2LiqAz2BtxM7kFKqj1Jqh1Jqx4ULF1IzZiGEEEIIIYRI1MDVA2MTDDHC74QzaPUgiyISIm1ZmmTQWp/XWr8OfAhctC3uBUxNZNtoW+LhllIqQdxa64laaz+ttV/BgolO1ymEEEIIIYQQqSLsVhgjt4wk5EpIouuTWi5EZmPpcAmllDcwEMgBfKeUygXk11qfsK1/HFPBsBoYYNttndY6Ou2jFUIIIYQQQoj49v63l7EBY5m1dxbhd8LJ5piN21G3E2znkdvDguiESHuWJhlsyYR7Gzm2i7N+C7DF9mPPNApLCCGEEEIIIZIUGR3Jb//8xtiAsaw/uZ7sTtnpUrkLr9d6nf0X98fryRAjIiqCfef34VPIx6KohUgbVjd+FEIIIYQQQogM4fyN80zaOYkJOydw+uppvPN68+1z39Kzek/yu+UHoHrR6gAMWj2IkCsheObxpHuV7kzcNZHHJj/GtNbTeMHnBStPQ4hUpbTWVsdgd35+fnrHjh1WhyGEEEIIIYTIBALOBDA2YCzz9s0jIiqChqUa8kbtN2hetjmODo4PdIyz187Sfn57tpzewgdPfMBXDb7CyUHu+YqMSSm1U2vtl9g6+a0WQgghhBBCiHvcjrzN/H3zGbt9LAFnAsjpkpM+Nfrweu3XqVCgwkMfr1iuYqzrsY53V77Ld5u/Y+e5ncxtN5eCOaRpvchcJMkghBBCCCGEEDanr55mwo4JTNw5kQvhFyifvzxjmo6he9Xu5M6WO0XHdnF0YVzzcdQqXou+S/tSc2JNFnZciF+xRG8IC5EhSZJBCCGEEEIIkaVprdlwcgNjAsbw2z+/Ea2jaVm+JW/UeoPnSj2HUsquz9ejWg8qF6pMu/nteGrqU/zY/Ed6Vpc+9yJzkCSDEEIIIYQQIku6EXGD2XtnMzZgLHvP78U9uzvvPf4er/q9Skn3kqn63DWL1WRHnx10/rUz/kv8CTgTwOgmo8nmlC1Vn1eI1CZJBiGEEEIIIUSWcvTSUcZtH8fU3VO5cvsKVQtXZXLLyXSu3Bk3Z7c0i6OAWwFWdlnJx2s+5pu/vyHw30AWdFiAR26PNItBCHuTJIMQQgghhBAi04vW0fx59E/GBIxhxeEVODo40q5iO96s/SZPlHjC7kMiHpSjgyNfP/c1fsX86LG4BzUn1mR++/nU865nSTxCpJQkGYQQQgghhBCZ1pVbV5gWOI1x28dx5NIRCucozCdPf8Irfq9QLFcxq8OL1a5SOyoVrESbeW1oMKMBwxsN5+3H3rYs+SHEo5IkgxBCCCGEECLTCT4fzLiAcczcM5Mbd27wuMfjfF7/c9pVaoeLo4vV4SWqYsGKBPQO4KXfXuLdP94l4EwAk1pOIodLDqtDE+KBSZJBCCGEEEIIkSlERkey5OASxgaMZe2JtWRzzMaLlV/k9VqvU7NYTavDeyC5s+Xm1w6/MmzTMAatGUTw+WAWdVxE6XylrQ5NiAeitNZWx2B3fn5+eseOHVaHIYQQQgghhEgDF25cYPKuyYzfMZ5TV0/hmceT1/xew7+GPwXcClgd3iP78+ifdP61M9E6mtltZ9OsbDOrQxICAKXUTq21X2LrHNI6GCGEEEIIIYSwhx1nd9Djtx6UGFmCgWsGUi5/ORZ1XMTRt44y4KkBGTrBANCodCN29N6Bd15vWvzcgs/Xf060jrY6LCGSJcMlhBBCCCGEEBnG7cjbLNi/gDEBY9h2Zhs5nHPgX92f12u/TqWClawOz+5Kupdkc8/NvLL0FQavG8z2s9uZ2WYmebPntTo0IRJlaSWDUqqSUmq+Umq8Uqq9UmqFUmqCUmp4Itt+o5T6QSn1jRWxCiGEEEIIIe5v9OjR+Pr64uPjw6hRowD45JNPqFKlCtWqVaNRo0acPXs2wX4HDx6kWrVqsY/cuXPH7j9kyBCKFCtCkTJFyOmZk67DunLp5iVGNxnNmffOMK75uEyZYIjh6uzK9OenM7bpWFYeWUmtSbUIPh9sdVhCJMrSngxKqfeBAK31RqXUEuAOEAoc1lp/F2c7T+BtrfX7SqnvgB+01qeSOq70ZBBCCCGEECLtBQcH06lTJwICAnBxcaFJkyaMHz+ewoULkzt3bgB++OEH9u/fz4QJE5I8TlRUFMWLF2fr1q2cUqfo+0Ff/rnyD/oJTfNyzXmj1hs0LN0QB5X1Rn//HfI37X9pz9XbV5naaiodfTtaHZLIgtJzT4aZQCdb4iA/8ILWug9QVClVJc52xYGYpEII4HHvgZRSfZRSO5RSOy5cuJDacQshhMigHvUOW4yoqCiqV69OixYtYpcNGTKE4sWLx959W758eWqfhhBCpEsHDhygTp06uLm54eTkRL169Vi0aFFsggHgxo0bKKWSPc6yP5aRs3BOWq9szdP/e5qjl47ylOdTHHnrCL93/p3GZRpnyQQDwJOeT7Krzy6qF6lOp1870e/PfkRGR1odlhCxLP2fqbU+r7V+HfgQuKh1bBeT80DOOJue4W5ioQRwOpFjTdRa+2mt/QoWLJiaYQshhMiggoODmTRpEgEBAQQFBbF06VIOHz7MBx98wJ49ewgMDKRFixZ8/vnnSR5j9OjRVKxYMcHyd999l8DAQAIDA2nWTLp/CyGyJl9fXzZs2EBoaCjh4eEsX76cU6fMvcJBgwZRokQJZs+eneTr7LHLx+j3Zz9e+PQFjhY/itaaiS0m8v7j73Ny1Umer/c8PXv25PLly2l5WulO0VxFWfPSGt6o9Qbfb/mehjMbcv7GeavDEgKwvieDt1JqIjAD+E4pNV0pNR4oDWxVSj2ulHpNax0C3FFKjQCikhsqIYQQQiQlpXfYTp8+zbJly+jVq1dahSyEEBlKxYoVGTBgAA0bNqRJkyZUrVoVJyfTa37o0KGcOnWKLl26MHbs2Nh9onU0fx79k5ZzWlLmhzKM3DQSDsFvn/9GUN8getfszVtvvMXRo0cJDAykaNGivP/++1adYrrh4ujCmGZjmP78dLae3krNiTUJOBNgdVhCWF7JcEJr3Udr3UVrvUlr/ZLW+lWtdW+tdbTWeovW+kfbth9prd/TWn9kZcxCCCEyrpTeYXvnnXf49ttvcXBI+Odz7NixVKlSRe6wCSGyPH9/f3bt2sWGDRvIly8fZcuWjbf+xRdf5Ndff+XKrSv8sO0HKo6rSONZjQk4E8DHT3/MpIqTqFenHq39WscmfQsXLoyjoyMODg707t2bgAD5MB2je9XubO65GScHJ+pOq8vkXZOtDklkcXZJMiilHJRS1ZVSzZVSzyqlCtvjuEIIIYQ9PcodthhLly6lUKFC1KxZM8G6V199Ve6wCSGEzfnzpmw/JCSEhQsX0rlzZw4fPhy7fuLPE7mZ5yYeIz14e+XbuGd3Z1abWYS8E8Lnz3zOn4v/pHPnzvGOee7cudjvFy1ahK+vb9qcTAZRvWh1dvTeQX3v+vT+vTd9fu/D7cjbVoclsqgUzS6hlCoNDACeAw4DF4DsQDkgHPgJmB6n10KakNklhBBCPIiBAwfi4eHBa6+9Frvs5MmTNG/enODg+FODffTRR8ycORMnJydu3brF1atXadu2LbNmzYq33YkTJ2jRokWC/YUQIquoW7cuoaGhODs7M2LECBo0aEDbtm3ZsXcHl29d5rrbdZxbO/PiEy/SoUQHxn4yNrZhbnh4OCVKlODYsWPkyZMn9pjdunUjMDAQpRTe3t789NNPFC1a1KpTTLeioqP4dO2nfLXpK2oXr82CFxZQIk8Jq8MSmVBys0ukNMkwBxgPbNT3HEgpVQh4EbistZ7+yE/yCCTJIIQQIinnz5+nUKFChISE0KhRI7Zs2cLFixdjy3nHjBnD+vXrWbBgQZLHWLduHcOHD2fp0qWAucMW82Z35MiRbNu2jblz56b+yQghRDp3MfwiU3ZN4ccdPxJyJYQSuUvwqt+r9KrRi4I5pFl7all0YBEv/fYS2Z2yM6/9PJ4p+YzVIYlMJrkkg1NKDqy17pzMuvPAqJQcXwghhLC3du3axd5hGzduHO7u7vTq1YuDBw/i4OCAl5dX7NztZ8+epVevXvedkrJ///4J7rAJIURWMXvvbAatHkTIlRA883gytMFQKhaoyNiAsfy892duR93mGe9nGNl4JK3Kt8LJIUUfQcQDaFOxDRULVqTNvDY0nNmQbxt+y7t13r3v1KFC2EOKKhliD6LUC8BKrfU1pdTHQA3gS631rhQf/BFIJYMQQgghhBCpb/be2fT5vQ/hd8JjlzkoB6J1NG7ObnSv0p3Xa7+ObyHpoWCFa7ev8fLil/n1wK909OnI5FaTyemS0+qwRCaQXCWDvWaX+MSWYHgKaAxMxwyjEEIIIYQQItMaPXo0vr6++Pj4MGrUKAA++OADKlSoQJUqVWjTpg1hYWEJ9rt16xa1a9ematWq+Pj4MHjw4Nh1Q4YMoXjx4lSrVo1q1ardt5rKKlprBqwaEC/BAGZKSvfs7px57wzjW4yXBIOFcmXLxS8v/MI3Db7hl/2/8PiUxzkcevj+OwqRAvZKMkTZvjYHxmutFwMudjq2EEII8chm752N9yhvHD5zwHuUN7P3zrY6JCFEJhEcHMykSZMICAggKCiIpUuXcvjwYRo2bEhwcDB79uyhXLlyfP311wn2zZYtG2vWrCEoKIjAwEBWrlzJ1q1bY9e/++67BAYGEhgYSLNmzdLytBKI1tEcv3ycZYeW8d3f39Hjtx7UnlSb3N/k5sy1M4nuE3YrjLzZ86ZtoCJRSikGPDWAP7r+wblr56g1qRZLDy21OiyRidlrQNQZpdRPmFkmhimlsmG/BIYQQgjxSO4t4z155SR9fu8DQJfKXawMTQiRCRw4cIA6derg5uYGQL169Vi0aBH9+/eP3aZOnTqJNpJVSpEzpylbv3PnDnfu3LF8vHxUdBQnwk6w78I+9l/YH/s4cPFAvGqFIjmL4FPQh5ervczsvbO5dPNSgmN55vFMy9DFA3iu1HPs7LOTtvPb0nJOSwbXG8yn9T7FQcnHNmFf9koydACaAMO11mFKqaLAB3Y6thBCCPHQQq6E8NaKtxKU8YbfCWfQ6kGSZBBCpJivry+DBg0iNDQUV1dXli9fjp9f/CHKU6dOpWPHjonuHxUVRc2aNTly5Aivv/46jz32WOy6sWPHMmPGDPz8/Pj+++9xd3e3W9xR0VEcvXw0XiJh34V9/HPxH25F3ordrniu4lQqWIneNXrjU9CHSgUrUbFgRfK55ovd5jGPxxL0ZHBzdmNog6F2i1fYj1deLza9vInXlr/GZ+s/Y/vZ7cxqMwt3V/v9fglhl8aPAEopd6AEcRIX0vhRCCFEWrkVeYsNJzew8shKVh5ZyYGLB5LcVqGIHhydhtEJITKrKVOmMG7cOHLmzEmlSpVwdXVl5MiRAAwdOpQdO3awcOHCZKsUwsLCaNOmDWPGjMHX15f//vuPAgUKoJTik08+4dy5c0ydOvWhY7sTdSc2mbDv/D72XzQJhYMXD3I76nbsdiVyl8CnkA+VClSiUsG7jzzZ8zzQ8yQ2u4QkctM3rTU/7fyJt1a8hWceTxZ2XEiVwlWsDktkIMk1frTX7BJfAD2Ao0DMAbXW+tkUH/wRSJJBCCEyP601Ry4dMUmFoytZe3wtNyNvks0xG/W869GkdBO+2/wd566fS7Bv7my5ufDBBVwcpX2QEMJ+Bg4ciIeHB6+99hrTp09nwoQJrF69OnY4RXI+++wzcuTIQb9+/eItP3HiBC1atCA4ODjJfSOiIjhy6YhJJFzYHy+ZcCf6Tux23nm9TQLBlkzwKeRDhQIVyJ0t96OftMjQtpzaQvtf2hN2K4zJLSfTuXJnq0MSGURySQZ7DpcorbWOsNPxhBBCiASuR1xn3Yl1rDi8gpVHV3Ls8jEAyuYrS68avWhapin1vOvh5mze0BfKWShBGa+jcuTq7as8NvkxZraZKV3PhRApcv78eQoVKkRISAgLFy5ky5YtrFy5kmHDhrF+/fokEwwXLlzA2dmZvHnzcvPmTf766y8GDBgAwLlz5yhatCgAixYtwtfXvE7djrzNodBDd4c5XDQVCocvHSYyOhIwlVol3UtSqWAlmpdtHluVUKFABZm6UCTweInH2dlnJx1+6cCLC19k+9ntDHtuGM6OzlaHJjIwe1Uy/Aq8qrU+n/KQUk4qGYQQInPQWrPvwr7YIRAbQzYSERWBm7MbDUo2oEmZJjQu3ZjS+UoneYzEynhzueSi15JeXL19la8afMU7dd6RxldCiEdSt25dQkNDcXZ2ZsSIETRo0IAyZcpw+/Zt8ufPD5jmjxMmTODs2bP06tWL5cuXs2fPHl566SWioqKIjo6mQ4cOfPrppwC82OVFtu/azu2o22QvkJ0y3ctwLPIYRy4dIUqbSd0clAOl3UvHG97gU9CH8gXKxyZahXhQd6Lu0O/PfvwQ8AP1vOoxr/08CucsbHVYIh1Li+ESfsBiIBiIHeCltW6V4oM/AkkyCCFExhV2K4zVx1az4sgKVh5ZGTs9mm8hX5qUbkKTMk14yvMpsjllS9HznL9xnt6/92bJwSU84/0M/3v+f9INXQiRpsLvhHPw4sEEszkcvXyUaG36xjgqR8rkKxMvkVCpYCXK5S+Hq7OrxWcgMptZe2bR5/c+5HPNx4IOC6jjUcfqkEQ6lRZJhn3AT8BeILaTltZ6/X32qwQMAUKB1UBz2yoHoKfWtlSt2fYosArYpbWemNxxJckghBAZR7SOZve53bG9Fbac2kKUjiJPtjw0LN2QJqWb0LhMYzxye9j9ubXWTAucxtsr38ZBOTC26Vi6Vulq+TRyQojM5UbEDQ5cPBBvJof9F/Zz/PJxtK2dmZODE2XzlU3QgLFc/nIpTqoK8TCC/g2izbw2nL56mjFNx9CnZh/5uygSSIskw3qtdb1H2O99IEBrvVEptSSm8kEpNRozHeapONsGAYHAXK31iuSOK0kGIYRI3y7cuMCqY6tYeWQlfxz9g/M3zGi7mkVr0qSMqVao41EHJwd7tQ5K3rHLx3jpt5fYFLKJ9pXaM6H5BPK75U+T5xZCZBz3m0Xh2u1rscmEuLM5nAg7EbuNs4Mz5QuUj23A6FPIVCaUyVdGmtGKdOPSzUt0WdiFlUdW0rNaT8Y1H0d2p+xWhyXSkbRIMozADJNYQvzhEslOYamUKgQMBsKBJ7TWTyqlKgDvaK373rOtA6CAZVrrJskdV5IMQghhjB49mkmTJqG1pnfv3rzzzjv88ssvDBkyhAMHDhAQEJBgTvcYK1eu5O233yYqKopevXrx4Ycfxq4bM2YMY8eOxcnJiebNm/Ptt98mG0dkdCQBZwJieyvsOLsDjSa/a34al2lM0zJNaVS6EYVyFLLr+T+MqOgohm8ezidrPyG/W36mtppK07JNLYtHCJG+zN47O0EjWRdHFxp4N0Arzf4L+wm5EhJvXYUCFWKHN8Q8SruXlqZ6IkOIio7is/Wf8cWGL/Ar5sevHX6VYYUiVlokGdYmsviBp7BUSjkCC4FBwDvAa0nNVKGU+g1oq7WOvmd5H6APgKenZ82TJ08+cPxCCJEZBQcH06lTJwICAnBxcaFJkyaMHz+eyMhIHBwceOWVVxg+fHiiSYaoqCjKlSvHqlWr8PDwoFatWsyZM4dKlSqxdu1ahg4dyrJly8iWLVtsZ/V7nb12lj+O/MHKoytZdXQVl29dxkE5UMejTmxvhRpFa+Do4JgWl+OBBf4bSLdF3Qg+H0zfmn0Z3mg4OVxyWB2WSGOJJeguXbpEx44dOXHiBN7e3syfPx93d/cE+44cOZLJkyejlKJy5cpMmzaN7NnNHcCHTdCJ9CEqOgqPER78e+PfRNdXL1I9QQPGku4l06waS4jUtOTgErot6oaLowtz282lQakGVock0oFUn8JSa/3Mo+ynlPIGBgI5gO8xPRdWAD8opb4ESgDVMf0aBth2W3dvgsEWw0RgIphKhkeJRwghMpMDBw5Qp06d2OnT6tWrx6JFi+jfv/999w0ICKBMmTKUKlUKgE6dOrF48WIqVarE+PHj+fDDD8mWzYwRjkkwRERF8HfI37G9Ffb8tweAojmL8nyF52lapinPlXoOd9eEH8rSk2pFqrG993Y+XvMxI7aM4K/jfzGzzUxpfpWFBAcHM2nSpHgJuubNmzNp0iQaNGjAhx9+yDfffMM333zDsGHD4u175swZfvjhB/bv34+rqysdOnRg7ty59OjRg7Vr17J48WL27NkTm6AT6VfYrTD+PPonyw4vY8XhFVwIv5DodgrFrleSLd4VIkNrVb4V23tvp828NjSa1YhvGnxDvyf6SZ8GkSRL5+vSWp/QWvfRWnfRWm/QWhfVWvfUWvfVWp/WWm/RWv+otT5oW95Taz3KypiFECKj8PX1ZcOGDYSGhhIeHs7y5cs5derU/XfEfFAqUaJE7M8eHh6cOWNmeTh06BAbN27kscce47EnH+PD6R/y/Nznyf9tfp6d8Swjt44kv2t+hj03jKC+QZx57wxTW0/lBZ8X0n2CIUZ2p+wMbzSctS+tJSIqgienPsmnaz/lTtQdq0MTaSBugs7JySk2Qbd48WJeeuklAF566SV+++23RPePjIzk5s2bREZGEh4eTrFixQCSTNCJ9EFrzYELBxi+eTj1/1efAt8WoOOCjiw9tJSGpRtSwLVAovtJ+bjICsrlL8e2XttoV7Ed/f/qT8cFHbkecT1Fxxw9ejS+vr74+PgwatQoAC5dukTDhg0pW7YsDRs25PLly4nuGxYWRvv27alQoQIVK1Zky5YtAAwZMoTixYtTrVo1qlWrxvLly1MUo3g0Mim4EEJkUhUrVmTAgAE0bNiQJk2aULVqVZycHqyALbGhdEopbt65SVh4GIsDFxPWNYyASgEMe2cYu8/tpmvlrvzW8TdC+4ey5qU19H+yP1UKV8nQdzrqeddjT989dKvSjS82fMHjUx7nwIUDVoclUllSCbr//vuPokWLAlC0aNFEKxGKFy9Ov3798PT0pGjRouTJk4dGjRoB8RN09erVY/v27Wl6XiKhW5G3WHlkJW8uf5PSP5Sm0o+V+GDVB1y6eYn+T/Zn08ub+K/ff8xuO5tRTUfh5uwWb383ZzeGNhhqUfRCpK2cLjmZ134e3zX8jl8P/Mpjkx/jUOihRzpW3IqxoKAgli5dyuHDh/nmm29o0KABhw8fpkGDBnzzzTeJ7v/222/TpEkT/vnnH4KCgqhYsWLsunfffZfAwEACAwNp1qzZI8UnUkaSDEIIkYn5+/uza9cuNmzYQL58+ShbtuwD7efh4cGpU6fQWnPw4kHmbZ7HH+f/IN+3+TgZfZL9BfZTKl8pRvmPokTeEmzvsp3xLcbTukJrcmXLlcpnlbbyZM/D/57/H792+JUTYSeoMbEGP2z7IXYOe5H5pCRBd/nyZRYvXszx48c5e/YsN27cYNasWYCpcLh8+TJbt27lu+++o0OHDokm9ETqOn31NBN3TqT13Nbk/zY/TWc3ZcruKfgU8mF88/GcfOcke17dw1cNvuJJzydj+yp0qdyFiS0n4pXHC4XCK48XE1tOjDe7hBCZnVKKfk/0Y1W3VZy/cZ5ak2qx5OCShz5OSirGrl69yoYNG/D39wfAxcWFvHnzpuS0hJ3ZrRuNUuoJwDvuMbXWM+x1fCGEEA8vpiljSEgICxcujC0nTM6129c4l+scW4K2UGJwCc7oM7AIvP29eaXmK0RFRZHzdk6+7vI1hw4dYnjkcAoWLJgGZ2OtthXb8kSJJ/Bf4s/bK9/m90O/M631NDxye1gdmkgF/v7+sW9gBw4ciIeHB4ULF+bcuXMULVqUc+fOJTrc4a+//qJkyZKx/yfatm3L5s2b6dq1Kx4eHrRt2xalFLVr18bBwYGLFy9mif8/VoqKjiLgTABLDy1l2eFlBP0XBIBXHi96VO1B83LNecb7GVydXe97rC6Vu0hSQQjg2ZLPsrPPTtrNb0frua35uO7HDKk/5IGbOfv6+jJo0CBCQ0NxdXVl+fLl+Pn5PVDF2LFjxyhYsCAvv/wyQUFB1KxZk9GjR5Mjh2nSPHbsWGbMmIGfnx/ff/99og16ReqySyWDUmomMBx4CqhleyQ+J5oQQog0065dOypVqkTLli0ZN24c7u7uLFq0CA8PD7Zs2ULz5s1p3Lgxe/7bw8eLPyZ/1fzk/zY/7X5tx50mdwibFEaBaQV4v9f7HB96nFFNRvH9h99z6uQpfH196dSpE9OnT8/QQyIeRpGcRVjaeSk/tfiJzac2U3l8ZebsnWN1WCIVxLyxjUnQde7cmVatWjF9+nQApk+fTuvWrRPs5+npydatWwkPD0drzerVq2PLeJ9//nnWrFkDmKETERERFCiQ+Dh/kTKXb15mbvBcui3qRpHvi/DE1CcY9vcw8mTPw7DnhhH8ajDH3z7OuObjaFa22QMlGIQQ8Xnm8WTjyxvpWa0nX278khZzWnDp5qUH2jclFWORkZHs2rWLV199ld27d5MjR47YYRWvvvoqR48eJTAwkKJFi/L+++8/8vmJR2evKSwPAJV0Oqn58/Pz0zt27LA6DCGESLcu37zMX8f+YsWRFfxx9A/OXjsLQJXCVWKnl3zS80lcHF0sjjT9OnLpCN0WdWPr6a109OnIj81/JJ9rPqvDEnZSt25dQkNDcXZ2ZsSIETRo0IDQ0FA6dOhASEgInp6e/PLLL+TLl4+zZ8/Sq1ev2AZjgwcPZt68eTg5OVG9enUmT55MtmzZiIiIoGfPngQGBuLi4sLw4cN59tkHmu1b3IfWmv0X9rPs8DKWHlrK5lObidJR5HfNT9OyTWletjmNSzfOMM1nhchItNZM2jWJN5a/gUduDxZ1XETVIlUf6hgxFWOjR49m3bp1sRVj9evX5+DBg/G2/ffff6lTpw4nTpwAYOPGjXzzzTcsW7Ys3nYnTpygRYsWBAcHp+j8ROKSm8LSXkmGX4C3tNbnUnwwO5AkgxAiq5q9dzaDVg8i5EoInnk8GdpgKF0qdyFaR7Pz7M7Y6SW3nt5KtI4mb/a8NCzVkKZlmtKodCOK5y5u9SlkKJHRkQzbNIwh64dQKEchprWeRqPSjawOS4hUMXLkSCZPnoxSisqVKzNt2jQOHjxI3759uX79Ot7e3syePZvcuXM/0L7Zs2cHYMyYMYwdOxYnJyeaN2/Ot99++0Dx3Lxzk3Un1sUOgzh55SQAVQtXpUW5FjQv25zaxWs/cPm2ECJltp7eSvv57bl08xKTWk6iS5XkhxbFHdLZqFEjtmzZwldffUX+/Pljpwq+dOlSoq8JdevWZfLkyZQvX54hQ4Zw48YNvvvuu9ghbWBed7Zt28bcuXNT5XyzurRIMqwFqgEBwO2Y5VrrVik++COQJIMQIiuavXc2fX7vQ/id8NhlLo4u1Cxak8OXDnMx/CIKhV8xP5qUMdUKtYvXjm1qJh7drnO76LqwKwcuHuCNWm8wrOGwBF3ohcjIzpw5w1NPPcX+/ftxdXWlQ4cONGvWjHHjxjF8+HDq1avH1KlTOX78OF988cUD7dujRw/Wrl3L0KFDWbZsGdmyZYv90JGUU1dOsezwMpYdXsbqY6u5GXkTN2c3niv1HM3LNqdZ2WbSJ0UIC/13/T86LOjAhpMbeKv2WwxvNBxnR+dEt01JxVhgYCC9evUiIiKCUqVKMW3aNNzd3enWrRuBgYEopfD29uann36KTToI+0qLJEO9xJZrrden+OCPQJIMQoisyHuUd+ydvLgclAMvVn6RJqWb0Kh0IwrmkCZzqeHmnZsMXD2QUdtGUT5/eWa2mUmt4rWsDks8oKSqgIRx5swZ6tSpQ1BQELlz5+b555/nrbfeon379ly5cgWlFKdOnaJx48bs37//gfZt1KgRHTp0oE+fPjz33HOJPm9UdBRbT2+NHQax9/xeAErmLUnzss1pXq459b3rk90pe6pfAyHEg7kTdYcBfw1g5NaR1PWsy/wX5lMkZxGrwxJ2llySwS63r6xKJgghhIDzN84zZ++cRBMMYMZKzmwzM42jynpcnV0Z2WQkLcq1oMfiHjw+5XE+rfcpA+sOlGqRdO7eKqCTV07S5/c+AJJosClevDj9+vXD09MTV1dXGjVqRKNGjfD19WXJkiW0bt2aX375hVOnTj3wvmAaYG7cuJFBgwaRPXt2hg8fTmnf0qw8spJlh5ex8shKLt28hJODE095PsV3Db+jednmVChQIcs0nBUio3F2dGZE4xHUKlYL/yX+1JxYkwUvLODxEo9bHZpIIymaXUIptcn29ZpS6mqcxzWl1FX7hCiEEOJeN+/cZF7wPFr83IJi3xfjnT/ewdkh8XJEzzyeaRxd1tagVAP2vrqXTr6dGLxuME9OfZJDoYesDkskY+DqgfGGGQGE3wnnjeVvMDd4LptPbeb01dNERUdZFKH1Ll++zOLFizl+/Dhnz57lxo0bzJo1i6lTpzJu3Dhq1qzJtWvXcHFJ2Cw2qX3BdIm/dOkSkxZPwreLL3Wb1aXAtwXosrALq46uokW5FsxrP48LH1xg7Utr6fdEPyoWrCgJBiEygM6VO7O111ZcnVyp9796vPzby3iN8sLhMwe8R3kze+9sq0MUqSRFt1a01k/ZvuayTzhCCCGSEq2j2RSyiZlBM5m/fz5Xb1+leK7i9HuiH92qdCPwv8AEPRncnN0Y2mCohVFnTXmz52VW21m0Kt+Kvkv7Um1CNYY3Gs6rfq/Kh6N0ZP+F/UzZNYWQKyGJrg+7FUbnXzvH/uzk4IRHbg8883iaR27z1SuvV+yynC450yr8NPXXX39RsmRJChY0w63atm3L5s2b6dq1K3/++SdgqhLu7e6e1L4bNm3AvbY7V7NdZb6ez9ifxgLgggvvVH6HjrU74lfMT5o2CpHBVSlche29t/PM9Gf4X9D/YpdLxVjmlqIkg1Iqp9b6ekq3EUIIkbRDoYeYGTSTWXtncSLsBDmcc9CuUju6V+lOfe/6sW/CfQr5AMi48nSkg08HnizxJD2X9OT15a+z5OASpraeSrFcxawOLcu6dvsa8/fNZ/LuyWw9vRVnB2dcnVy5GXkzwbYlcpdgRZcVhFwJufu4GsLJsJNsPLnRVDfo+NUN7tnd7yYebEmImIdXXi+K5CyCg0pRIaklPD092bp1K+Hh4bi6urJ69Wr8/PxiGzVGR0fz5Zdf0rdv3yT3/efsP6w+vZqvJ3/Nf7n/Y9KcSbh4uFDyXEmG9hxKecrz4uQX+b7N95KMEyITcXd15/KtywmWh98J583lb+KZ25PqRatn2iRtVpSixo9KqdVAILAY2Km1vmFbXgp4BugATNJaL0h5qA9OGj+KzC4l04itXLmSt99+m6ioKHr16sWHH34IQMeOHWPnIQ4LCyNv3rwEBgam5WmJOELDQ5m3bx4z98xk6+mtOCgHniv1HN2qdKNNhTbkcMlhdYjiIWitGb9jPP3+7IersysTmk/gBZ8XrA4ry9Bas/X0Vibvmsy8ffO4cecGFQtUpFeNXnSr0o0/j/2ZaBXQxJYTk03SRUVHce76OUKumMRD3EREzLIrt6/E28fZwTleNYRXHq94iQjPPJ7p9v/34MGDmTdvHk5OTlSvXp3JkyczYcIExo0bB5gKha+//hqlFGfPnsXf35+BEway7PAypo6cyoVtF8ABcnrlpPsn3Wnt05rHiz7Oq31eJTAwEBcXF4YPH86zzz5r8ZkKIezN4TMHNEl/7lQoyhcoT82iNc2jWE2qF6lOrmxSMJ9epersEkqpZkAX4EnAHYgEDgLLgCla639T9ASPQJIMIjNLyTRiUVFRlCtXjlWrVuHh4UGtWrWYM2cOlSpVirfd+++/T548efj000/T8tSyvNuRt1l+eDkz98xk6aGl3Im+g28hX7pX6c6LlV+keO7iVocoUujgxYN0W9SN7We306VyF8Y2G0ve7HmtDivTOn/jPDODZjJl9xQOXDxADuccdPTpSK8avajjUSfe3fLUml3iyq0rnLp6KjYBcTLsZGwSIuRKCGeunklQDZHfNX+CxEPcZEThnIXTbTVEaHgoK4+sZOnhpfxx5A8u37qMk4MTT3s9bWaDKNuccvnLSaWCEFlMUjNgFc9VnAktJrDz7E52njOPs9fOAibxUC5/OWoWqxmbfKhetDq5syW8iZZZJHYj8Z9//qFv377cunULJycnfvzxR2rXrp1g39GjRzNp0iS01vTu3Zt33nkndt2YMWMYO3YsTk5ONG/enG+//TbFsab6FJbpjSQZRGaWkmnEtmzZwpAhQ/jjjz8A+PrrrwH46KOPYrfRWuPp6cmaNWsoW7Zs2p1YFqW1ZtuZbcwImsG8ffO4dPMShXMU5sXKL9K9aneqFq4qb8YzmTtRd/hq41d8seELiuYqyvTnp/NsSblzay9R0VH8efRPpuyewuKDi4mMjuRxj8fxr+5PB58O6e6uWGR0JGevnY0/JONKCCevnIxNSlyLuBZvH2cHZ0rkKZFoFYRXHi9K5CmBm7NbmsSvtWbPf3tYdngZyw4vY+vprUTraArlKESzss1oXrY5DUs1JE/2PGkSjxAifbp3Fh9IumLs3+v/xks67Dy7kzPXzsSuL5e/XLyKhxpFa2SKxENSNxJ//vln3n33XZo2bcry5cv59ttvWbduXbx9g4OD6dSpEwEBAbi4uNCkSRPGjx9P2bJlWbt2LUOHDmXZsmVky5YtdphbSqX6FJaPSilVCRgChAKrARfMMItswKsxwy9s234DuAHhWusP0z5aIdKHlEwjdubMGUqUKBH7s4eHB9u2bYu3zcaNGylcuLAkGFLZ8cvHmbVnFjP3zOTwpcNkd8pOmwpt6FalGw1LN5QpDzMxZ0dnBtcfTLOyzei6qCsNZjTgncfe4asGX+Hq7Gp1eBnW8cvHmRY4jWmB0zh99TQF3ArwVu238K/hT6WCle5/AIs4OTjFJgiScuXWlXiJh7iP1cdXc/baWaJ1dLx9CrgVSHZIRqEche5bDZFUdceNiBusOb4mNrFw+uppAGoWrcnHdT+mRbkW1CxWM91WWwgh0l5MIuFBKsaK5CxC83LNaV6ueeyy/67/F5tw2HluJxtDNjIneE7s+rL5ysareKhRtEaGTG5GRkZy8+ZNnJ2dCQ8Pp1ixYiiluHrVTNx45coVihVL2NfpwIED1KlTBzc3k2CuV68eixYton///owfP54PP/yQbNmyAdglwXA/Vr+LbQqM0VpvVEotAW5rrV9QSrUA2gIzAZRSnoCz1votpdR3SqkSWuuEn6CEyALiTgWWN29eXnjhhdhpxN566y0+//xzWrVqleg0YolVLt17l3zOnDl07tw5wXYi5a7cusIv+39hRtAMNoZsBKC+d30+fOpD2ldqnymy8OLB1Spei92v7GbAqgGM2jaKP4/9yaw2s6hetLrVoWUYtyJv8ds/vzFl9xT+OvYXCkXjMo0Z2Xgkrcq3wsUx4etgRpQnex4qZ69M5cKVE11/J+pObDXEvYmIw6GH+evYX1yPiN+DO5tjNkrkKRFvpoy4s2T8HfI3b6x4I/au48krJ3n5t5f5dtO3HAw9yO2o2+R0yUmj0o34rP5nNC3TlKK5iqb6tRBCZFxdKnd55GFohXMWplnZZjQr2yx22fkb5+NVPPwd8jdzg+fGri+Tr0yCiof0PEQxqRuJJUqUoHHjxvTr14/o6Gg2b96cYF9fX18GDRpEaGgorq6uLF++HD8/U2Rw6NAhNm7cyKBBg8iePTvDhw+nVq1aqXouVicZZgKDlVKtgPxATB3MSSDuX9LiQExSIQTwiPMzAEqpPkAfMF2MhcisUjKNmIeHR7wKh9OnT8fLhkZGRrJw4UJ27tyZymeRddyJusOfR/9kxp4ZLP5nMbejblM+f3mGPmuy9155vawOUVjIzdmNMc3G0KJcC15e/DK1J9dmSL0hDHhqgFSzJGPPf3uYvGsys/bM4vKty3jl8eKz+p/Ro1qPZCsCMitnR2e88nrhldeLutRNsF5rTditsESHY4RcCWHV0VWcvXY22aZsAHei77D/4n7eqPUGLcq1oK5X3UyTyBFCZDyFchSiadmmNC3bNHbZhRsX4lU8bDm9hXn75sWuL+1eOkHFg7uruxXhJ5DUjcSAgABGjhxJu3btmD9/Pv7+/vz111/x9q1YsSIDBgygYcOG5MyZk6pVq+LkZN5HREZGcvnyZbZu3cr27dvp0KEDx44dS9XhuHZ5B6OUKg2c1lrfVkrVB6oAM7TWYcntp7U+D7yulHIEFsZZ5QmcjvPzGUxiAaAE8Fsix5oITATTk+FRzkOIjCAl04jVqlWLw4cPc/z4cYoXL87cuXP5+eefY9f/9ddfVKhQAQ8PjwT7igentWb3v7uZETSDn/f+zIXwC+R3zU/vGr3pXrU7fsX8pM+CiKdxmcYEvxbMq8te5eO1H7Ps8DJmtJlBmXxlrA4t3bhy6wpzg+cyefdkdpzdgYujC20qtMG/uj8NSjWQ0vxkKKVwd3XH3dWdqkWqJrpNRFQEZ6+djZ0lo/tv3RPdLio6ipFNRqZmuEII8cgK5ihIkzJNaFKmSeyyCzcusOvcrtiKh22ntzF/3/zY9aXcS8WreKhZtKYliYekbiTOnj2b0aNHA/DCCy/Qq1evRPf39/fH398fgIEDB8a+n/fw8KBt27YopahduzYODg5cvHgx9nlSg71uk/wK+CmlygBTgCXAz0Cz5HZSSnkDA4EcwHeAp1JqPOCKST48DlTXWv+olLqjlBqBGVIhQyVElvXYY4/Rvn17atSoETuNWJ8+fRJMI/byyy8DcPbsWXr16sXy5ctxcnJi7NixNG7cmKioKHr27ImPj0/ssefOnStDJVLg9NXTzN4zmxl7ZrD/wn5cHF1oWa4l3at2p0mZJnLHTyQrn2s+5rabS+vyrXl9+etUm1CNEY1H0LtG7yyblNJasylkE5N3T+aXfb9wM/ImlQtVZnST0XSp3IX8bvmtDjHTcHF0wTuvN955vQH4ZO0niXaCz4qVIkKIjK1gjoI0LtOYxmUaxy67GH7RJB5sFQ/bz27nl/2/xK4vmbdkvIqHmsVqks81X6rGmdSNxGLFirF+/Xrq16+fbGP2mBuOISEhLFy4kC1btgDw/PPPs2bNGurXr8+hQ4eIiIigQIECqXoudpldQim1S2tdQyn1AXBLaz1GKbVba23JwFKZXUIIkVauR1xn4YGFzAiawZrja9BonijxBN2rdKeDT4d0U4InMpbTV0/T47cerD6+muZlmzO51WSK5CxidVhp5t/r/zI9cDpTA6dyKPQQuVxy8WLlF/Gv7i+VQGnkYTrBCyFEZhAaHhqv4mHn2Z0cDzseu947r3eCigd7J7sHDx7MvHnzYm8kTp48me3bt/P2228TGRlJ9uzZ+fHHH6lZs2a8G4kAdevWJTQ0FGdnZ0aMGEGDBg0AiIiIoGfPngQGBuLi4sLw4cN59tmUz2qV6lNYKqW2AaOAQUBLrfVxpVSw1to3xQd/BJJkEJlNas3fntkkNrfwSy+9xMGDBwEICwsjb968BAYGJtj3YeYW/vqbr1lzfA0z9sxg4YGFhN8Jp2TeknSv2p2uVbpKibuwi2gdzdiAsQz4awA5nHMwseVE2lZsa3VYqSYyOpIVh1cwZfcUlh5aSpSO4inPp+hVvRftK7Unh0sOq0PMcuRvjxAiq7t081K8ioed53Zy7PKx2PVeebwSVDwUcEvdKoH0Ii2SDJWAvsAWrfUcpVRJoKPW+psUH/wRSJJBZCZyN+nBJDW3cI8ePWK3ef/998mTJw+ffvppvH0fdG7hQ2GHmLB+Ar+d/o2z186SN3teOlTqQPeq3XmixBNyd1WkigMXDtB1UVd2ndvFS1VfYnST0RlyWq6kHLl0hKm7p/K/wP9x7vo5CucozEtVX6Jn9Z6UL1De6vCEEEKIeC7fvJyg4uHo5aOx6x8m8ZCRk7nJJRns0pNBa71fKTUA07ARrfVxwJIEgxCZzaDVg+IlGADC74QzaPWgDPMilFYSm1s4htaa+fPns2bNmgT7JTe38MgxIynTqgx1/leHwH8DcXJwolnZZnSr0o0W5VqQ3Sl7mp2fyJoqFqzIFv8tfLH+C77a9BXrTqxj+vPTqeddz+rQHtnNOzf59cCvTNk9hXUn1uGgHGhWthn+1f1pXrY5zo7OVocohBBCJMrd1Z0GpRrQoFSD2GWJJR4WHrg7r4FnHs8EQy3+PPZnvBuJJ6+cpM/vfQAy/Ht8e1UytASGAy5a65JKqWrA51rrVik++COQSgaRmTh85pDktGJNyjShVN5SlHQvSSn3UpTMa75mprucD2P06NEMGjQodm7h2bNnx67bsGED7733Hom9Nhw4cIDWlG02UgAAKZNJREFUrVuzZcsWXF1deebZZ8hbKi+OzR1Z0W8FlIccJ3NQxL0IP476kUZPN0rL0xIi1pZTW+j+W3eOXjrK+4+/zxfPfmGXRFdKhhp5e3uTK1cuHB0dcXJyiv0/1rFjxwT7T10xlSm7pjB772yu3L5CaffS9Kzek5eqvkTx3MVTfB5CCCFEehF2KyzBUIsjl47ErndUjkTpqAT7eeXx4sQ7J9Iw0keT6pUMwBCgNrAOQGsdaBsyIYRIIc88nol2+HZ1cuX8jfNsPb2VsFth8da5Z3c3SQf3kvGSEKXcS+GZxzNTznKQ1NzCXbt2BWDOnDlJzpxRsWJFPuj/AY/Xe5yr+iqXcl7izvE7lDhfggLZC9C4bGNmrp3J9u3b6dixY6rPLSxEUh4v8Ti7X9lNvz/7MXzLcFYeXcmsNrOSnJbwQZw5c4Yffvgh3lCjuXPnMm/e3XnFY4YaJWXt2rUJOlXH7H/55mXa9WrHgWsHqDmxJtmdstOuYjv8q/tTz7ueTD0phBAiU8qbPS/PlnyWZ0vebbJ45daV2IqHD1Z9kOh+IVdC0irEVGOvJEOk1vrKPW+6U14iIYSgd43efLz243jL7u3JcPnmZY6HHefY5WMcv2z7GnacoH+DWHJwCRFREbH7OigHPHJ7xFY9xH61JSIK5yicIT9AJzW3cNeuXYmMjGThwoXs3LkzwX7/XPyHmUEzmXV9FiEvhJDTJScVd1bkmSrPMOKdETT7oxm9uvRK07mFhUhOTpecTGgxgVblW+G/xJ9ak2rxxTNf0O+Jfjg6OD7SMR91qFFSonU0606sY8ruKSzYt4CIpRFUfL8iHzf5mBcrvyizrgghhMiS8mTPwzMln+GZks8wNmBspp0q2F5JhmCl1IuAo1KqLPAWsNlOxxYiy7oecZ0Ze2aQN1tecmbLyZmrZxJtCuPu6o67qzs1itZIcIyo6CjOXjsbPwkRZr6uPLKSc9fPxdve1cmVku4lE01ClMxbklzZcqX6eT+KpOYWBpOAqFChAh4eHoCZG3lu8Fxm7plJwJkAHJQD9QrU4+u2X1PTrSatp7dm8KTBOCgHS+YWFuJBNCvbjL2v/r+9Ow+PsjzfPv69wr4GBEQMBERFQFAIICAIIu4VrYALixQEEWu1VWm14k/l1bR1q1iL1iiogOKGC4qILC6IILKDWrACISwKKPua5Xr/mEkMSQzITPJMwvk5jjky8yz3nHMfMSYX97KcYe8N466Zd/Het+8x7rfjOKnmrxtImJCQwPDhw0lMTMyZanThhT9PCZo9ezZ169b9xX25zYwLL7wQM+PqAVeT0TqDsUvGsnrbauIrxHNp+UtZ2WglX9/7dUSfV0REpDRJ7p5c4OLuyd2TA0wVHdFak6Eyoe0rLwQMmAY84O77I278KGhNBiktBr8zmOeXPM+s383i3EbnFsl77Evfx9rtawssQqzetppdB3cdcn3tyrUPLT7kKkI0qN4g0AXbCtpbuEKFCgwcOJC27dpSr1s9xi0bx/vfvk/G9gyqTavGfSn30bdlX66+9Opi3VtYJFrcnQnLJvCHqX8gy7N44uInGNRq0BGPSNq2bRu9evXi1VdfzZlq1Lt375ypRjfddBOnnHIKd9xxR4H3p6alsmj3Ip76+ClmjJwBl8C5557LkNZD6NmsJ7ffenuh94uIiByrSuvuElEpMsQaFRmkNHhlxSv0mdSHe865hwfOeyCQDO7OT/t+ypl+kbcIkbojlYysjJzry1gZGsQ3OKT4kPt57cq1i3Uqhrszd/1cxi0dx6tfvcr2/dupV7Ue/Vr247ozr+OMumcUWxaRopa6PZWB7wzk47Ufc8VpV5DSI4Xjqxx/2Ptef/11PvjgA8aMGQPAuHHjmDdvHk899RQZGRkkJCSwcOHCnJFA2VZuXcmYxWN4cemLbN6zmXpV63Hy0pPpdEon/nFvaIOpwu4XERGRkqvIF340s7bA3UCj3G26u36DFzkKa7at4cb3bqRj/Y7cd+59geUwM2pVrkWtyrVol9Au3/mMrAw27NxwSBEi+/m7q95l857Nh1xfpVyVAhekPKnGSZxU8yQql6scldzf/fQdE5ZNYPyy8Xy37Tsqla1Ez2Y9GXDmALqf1P2o562LxLKGNRoyc8BMRs0bxV9n/pWWT7fk2R7PcvlphW/09GumGu05uIfXv36d5xY9x5y0OZTJKMPFJ1/MsMuHcU69c7jkoks4t++5OW3nvV9ERERKv2hNl1gJ/BlYDmRlH3f3/CtZFAONZJCSLD0znS4vdOGbLd+wZNgSGtVoFHSko7bn4B7WbF9zyGKUub/mnoMGULdK3V8sQtSvXv+Q4kDe4WV3n3M3AOOWjmNO2hwMo9tJ3RhwxgB6NusZs2tJiBSFFZtX0P/N/iz9YSmDWw/m8YseL/S/gcKmGrVv3542l7dhzKIxTFwxkV1bd1H5g8rcl3IfXat3ZWj/0J7eGRkZ9O3blxEjRuS0O3DgQDp06MCwYcOK/DOLiIhI8Sny6RJm9pm7d464oShRkUFKshEzR/C3z/7Gq71f5erTrw46TpFxd7bs3ZJvR4zsr+t2rCPLc2qWlIsrR2J8Io1rNiYjM4PP0j4jPSs9X7vNajdjwJkD6NeyHw3iGxTnRxKJKQcyDnD/x/fz0JyHaFSjEeOuHEfnxCP/X/WPe39kwrIJPLf4OVZsXkGlspW4+vSrGdx6MJ0TO5fIXWhEREQkOoqjyNAd6APMBA5kH3f3NyNu/CioyCAl1UdrPqL7uO5c3/p6nrv8uaDjBCo9M520nWkFFiEWblp4SAEi2wlVT2Dj7Rv1x49ILp+t+4wBbw1g7fa13NnpTkZ2G0n5MuULvDbLs5ixegZjFo/h7f++zcHMg7Q7sR2DWw/m2hbXEl8xvpjTi4iISCwqjiLDBKAp8BU/T5dwd78+4saPgooMUhJt3buVM/9zJtXKV2Ph0IVUKV8l6EgxK25kHE7+n12GkXVf/uKDyLFu14Fd3D7tdp5b/Bxn1j2TPi368PSCp3OmG93e8Xa27dvG80ueJ3VHKsdVOo7+LfszOGmwFkgVERGRfIqjyLDc3VsexX2JwL+BrcAqoCYQD7QH7nL3abmu/Q6YDixy95TC2lWRQUoad+eKV65g2nfT+GLIF7Q6oVXQkWJao1GNSN2Rf8mXhvENWfuntcUfSKSEmLxyMv3f7J9va9ps5zc+nyGth3BF0yuoWLZiMacTERGRkqKwIkNclN5jnpk1P4r7mgBTwiMemrv7ne4+DNgAzMhz7W6gEpAWWVSR2DP6y9G8u+pdHrngERUYjkBy9+R8O1FULleZ5O7JASUSKRkuP+3yX5zykFAtgenXTeeaFteowCAiIiJHLVpFhs7AEjNbaWbLzGy5mS07gvsWA9ea2SzgIwAzO4vQaIXMPNe2Bq4H/lhQQ2Y21MwWmNmCLVu2HP0nESlmS79fyvAPh/ObU3/DLWfdEnScEqFfy36k9EihYXxDDKNhfENSeqTQr2W/oKOJxLwNOzcUeHzjro3FnERERERKo2hNl2hY0PHDbWFpZsOB+e7+qZm94e69zSwF+Ju7r/2Fe94GeroXsOpbmKZLSEmxN30vbVLasGP/DpYOW0qdKnWCjiQipZymG4mIiEikimy6hJlVDz/d9QuPw/kAuNXM/gOsNbNqQK3sAoOZdTSz35vZaWY21szGAh8XVmAQKUlu++A2Vm5dyfgrx6vAICLFQtONREREpCiVjfD+l4HLgIWAA7n3jXOgcWE3u/sKoHeew71ynZ8LzA2/DGSnCpGi8sbXb5CyKIW7Ot1F98bdg44jIseI7GlFI2aOyNldIrl7sqYbiYiISFREZbpErNF0CYl1qdtTafVMK5rUasJngz6jXJlyQUcSERERERE5IkW+u4SZzTySYyICGVkZ9HuzH5lZmUzsNVEFBhERERERKTUimi5hZhWBykBtM6vJz9MlqgMnRphNpFR64JMHmJM2h5d7vkzjmoXOKBIRERERESlRIl2T4UbgT4QKCgv5uciwExgdYdsipc6nqZ/y4OwHGdhqIH1a9gk6joiIiIiISFRFVGRw9yeAJ8zsFnd/MkqZREqln/b9RL83+3FyzZN58hL95yIiIiIiIqVPpCMZAFCBQaRw7s6QyUP4YfcPzB08l6rlqwYdSUREREREJOqiUmQQkcI9s/AZ3vrvWzx24WO0ObFN0HFERERERESKRFR2lxCRX7Zi8wpum3YbF59yMX/q8Keg44iIiIiIiBSZqIxkMLOkAg7vAFLdPSMa7yFSEu1L38e1b1xLfIV4XrjiBeJMdT0RERERESm9ojVd4ikgCVhGaIeJFuHntcxsmLt/GKX3ESlR7vjwDr7a8hXT+k+jbtW6QccREREREREpUtH6Z9W1QGt3b+vubYDWwArgfODhKL2HSIny1jdv8fSCpxnecTgXnnxh0HFERERERESKXLSKDE3d/avsF+7+NaGiw+ootS9SoqTtSGPw5MG0qdeG5O7JQccREREREREpFtGaLrHSzJ4GXgm/vgZYZWYVgPQovYdIiZCZlUn/t/qTnpXOxF4TKV+mfNCRREREREREikW0igwDgd8DfyK0JsNnwHBCBYZuUXoPkRLhb7P/xqepnzLut+M4tdapQccREREREREpNlEpMrj7PuCx8COv3b90n5klAv8GtgKrgK5AKrDb3YfnufYfQGVgr7vfFY3cItE2Z90c7v/kfvqf0Z/rzrwu6DgiIiIiIiLFKiprMphZJzObbmarzGx19uMIbm0CTHH364HmwN5wph/ytJ8IlHP3W4EyZtYgGrlFomnbvm30fbMvJ9U4idGXjg46joiIiIiISLGL1nSJMcBtwEIg81fctxgYYWbXAOOBF909y8z+aWZnuPuy8HUJQFr4+Tqgfq7XIoFzd4a+N5SNuzby+fWfU71C9aAjiYiIiIiIFLto7S6xw92nuvtmd/8x+3EE9w0C7nP384DfuHtW+PhmoGqu6zYQKiwANADW523IzIaa2QIzW7Bly5YIPorIrzdm8Rje+PoNks9Lpl1Cu6DjiIiIiIiIBMLcPfJGQusllAHeBA5kH3f3RYe5rwVwP6E1GXYDdQhNmSgL3Ai0J7QV5lNm9negAnDA3f9aWLtt27b1BQsWHPXnEfk1vtnyDW1S2tApsRPT+k8jzqJVuxMREREREYk9ZrbQ3dsWeC5KRYaPCjjs4REKxU5FBiku+zP20/659mzatYmlw5ZSr1q9oCOJiIiIiIgUqcKKDNHaXULbVMox6S/T/8KyH5Yxpe8UFRhEREREROSYF1GRwcz6u/sEM7u9oPPu/s9I2heJZe+ufJcn5z/JbR1u49JTLw06joiIiIiISOAiHclQJfy1WgHnIp+HIRKjNuzcwKB3BtH6hNb8vfvfg44jIiIiIiISEyIqMrj7M+GnM9x9Tu5zZtYpkrZFYlVmVibXvXUd+zL2MbHXRCqUrRB0JBERERERkZgQrWXwnzzCYyIl3sNzHuajtR/x70v+zWm1Tws6joiIiIiISMyIdE2GjsDZQJ086zJUJ7SlpUipMm/9PP7vo//j2hbXMrDVwKDjiIiIiIiIxJRI12QoD1QNt5N7XYadQO8I2xaJKTv276DPpD40iG/Af37zH8ws6EgiIiIiIiIxJdI1GT4BPjGzF9w9NUqZRGKOu3PjezeStiONz67/jPiK8UFHEhERERERiTnRWpPhOTOrkf3CzGqa2bQotS0SuBeWvMCrX73KA90eoEP9DkHHERERERERiUnRKjLUdvft2S/cfRtwfJTaFgnUyq0r+cPUP9CtUTf+0ukvQccRERERERGJWdEqMmSZWWL2CzNrCHiU2hYJzIGMA/SZ1IdKZSsx/srxlInTeqYiIiIiIiK/JNKFH7ONAD4zs0/Cr7sAQ6PUtkhg/jrzryz+fjGTr51MQvWEoOOIiIiIiIjEtKgUGdz9AzNLAjoABtzm7luj0bZIUN7/9n0en/c4t5x1Cz1O6xF0HBERERERkZgX0XQJM2sa/poEJAIbgQ1AYviYSIm0adcmBr49kDPqnsHDFzwcdBwREREREZESIdKRDHcANwCPFXDOgfMibF+k2GV5FgPeHsDug7t5pdcrVCxbMehIIiIiIiIiJUJERQZ3vyH8tdvR3B9eLPLfwFZgFXBa+FQccL27Z+a69jtgOrDI3VMiyS1SmEc/f5QZq2eQclkKzeo0CzqOiIiIiIhIiRFRkcHMehZ23t3fPEwTTYAp7v6MmY1z9wHhdp8ATgTScl27G6iU55hIVH254UtGzBpB7+a9GZI0JOg4IiIiIiIiJUqk0yWyV8M7HjgbmBV+3Q34GDhckWExMMLMrgHGQ846DxXcPW8xoTWhRSWnAFPzNmRmQwnvaJGYmJj3tMhh7Tywkz6T+nBitRNJuSwFMws6koiIiIiISIkS6XSJQQBm9h7Q3N03hV/XA0YfQRODgPvc/VMze8PMvgT+BPy+gPfKCre938zisl/nOp8CpAC0bdvWj/5TybHq5vdvZs32NXw68FNqVqoZdBwREREREZESJ6LdJXJplF1gCPuB0FSIw/kAuNXM/gOsI7TmQhzwLzOrb2Ydzez3ZnaamY01s7HAx3kLDCKRGr90PBOWTeD+rvfTKbFT0HFERERERERKJHOP/B/9zezfwKnAREK7SlwL/M/db4m48aPQtm1bX7BgQRBvLSXQtz9+S1JKEkn1kpg1YBZl4soEHUlERERERCRmmdlCd29b0LlI12QAwN3/YGZXAl3Ch1Lc/a1otC1SlA5mHqTPpD6UiyvHhCsnqMAgIiIiIiISgagUGcIWAbvcfYaZVTazau6+K4rti0TdPbPuYeGmhbx59Zs0iG8QdBwREREREZESLSprMpjZDcAbwDPhQwnA29FoW6SofPjdhzzy+SPc1PYmrmx2ZdBxRERERERESrxoLfx4M9AJ2Ang7t8S2tZSJCb9sPsHBrw1gNPrnM5jFz4WdBwREREREZFSIVrTJQ64+0EzA8DMyhJaAFIk5mR5FgPfGciOAzuYMWAGlcpVCjqSiIiIiIhIqRCtkQyfmNndQCUzuwB4HXg3Sm2LRNWoeaP44H8f8PhFj9Pi+BZBxxERERERESk1olVkuBPYAiwHbgTeB+6JUtsiUbNw40LumnEXv236W25sc2PQcUREREREREqViKdLmFkcsMzdWwDPRh5JpGjsPribPpP6ULdqXcZcPobs6T0iIiIiIiISHREXGdw9y8yWmlmiu6+LRiiRonDL1Fv4btt3zBowi+MqHRd0HBERERERkVInWgs/1gO+MrP5wJ7sg+5+eZTaF4nIy8tf5oUlL3Bvl3vp2qhr0HFERERERERKpWityTASuAz4f8BjuR7yK6xcuZJWrVrlPKpXr86oUaNYunQpHTt2pGXLlvTo0YOdO3fmuzctLY1u3brRrFkzTj/9dJ544omcc0dyf2m2ettqhr03jE4NOvF/Xf8v6DgiIiIiIiKllrkf/U6TZlYRGAacQmjRxzHunhGlbEetbdu2vmDBgqBjRCQzM5OEhAS++OILevfuzaOPPkrXrl0ZO3Ysa9as4YEHHjjk+k2bNrFp0yaSkpLYtWsXbdq04e2336Z58+a0a9fusPeXVumZ6XR+vjOrflzFkhuX0LBGw6AjiYiIiIiIlGhmttDd2xZ0LtKRDC8CbQkVGC5BoxeiZubMmZx88sk0bNiQlStX0qVLFwAuuOACJk2alO/6evXqkZSUBEC1atVo1qwZGzZsADii+0urez+6l/kb5vNsj2dVYBARERERESlikRYZmrt7f3d/BugNnBOFTAK88sor9OnTB4AWLVowefJkAF5//XXS0tIKvXft2rUsXryY9u3bH9X9pcXM1TN5aM5D3JB0A72b9w46joiIiIiISKkXaZEhPfvJ0UyTMLNEM5tsZmPN7C4z62tmz5rZODOrkufaf5jZv8zsHxFmjnkHDx5k8uTJXHXVVQCMHTuW0aNH06ZNG3bt2kX58uV/8d7du3fTq1cvRo0aRfXq1X/1/aXFlj1buO6t62hauymjLh4VdBwREREREZFjQqS7S5xpZtmrCBpQKfzaAHf36oe5vwkwxd2fMbNxQBt3v8rMLgN6AuMhVIwAyrn7rWb2iJk1cPdS+8/xU6dOJSkpibp16wLQtGlTPvzwQwBWrVrFlClTCrwvPT2dXr160a9fP3r27Jlz/EjvLy3cnUHvDOKnfT8xtd9UKperHHQkERERERGRY0JEIxncvYy7Vw8/qrl72VzPD1dgAFgMXGtms4CPgOxVKFOB+rmuSwCyiwrr8pwDwMyGmtkCM1uwZcuWo/9QMWDixIk5UyUANm/eDEBWVhYPPvggw4YNy3ePuzN48GCaNWvG7bfffsi5I7m/NHly/pNM+XYKj174KGeecGbQcURERERERI4Z0drC8mgNAu5z9/OA3+Q6ngisz/V6Az8XFhrkOQeAu6e4e1t3b1unTp2iylvk9u7dy/Tp0w8ZiTBx4kSaNGlC06ZNOfHEExk0aBAAGzdu5NJLLwVgzpw5jB8/nlmzZuVsgfn+++8Xen9ptOT7Jfx5+p/p0aQHN7e7Oeg4IiIiIiIix5SItrCM+M3NWgD3A1uB3cAiQotHVgJuBs4AWrv7U2b2d6ACcMDd/1pYu6VhC0v59fYc3EOblDbsOriLpcOWUrty7aAjiYiIiIiIlDqFbWEZ6ZoMEXH3FYR2pcjt5VzP54YfHK6wUFK9tPwlRswcwbod60iMTyS5ezL9WvYLOlaJ9McP/siqH1cxc8BMFRhEREREREQCEGiR4Vj30vKXGPruUPam7wUgdUcqQ98dCqBCw6/02levMWbxGO7ufDfdTuoWdBwREREREZFjUtBrMhzTRswckVNgyLY3fS8jZo4IKFHJtHb7Woa+O5QO9Ttw/7n3Bx1HRERERETkmKUiQ4DW7VhX4PHUHakkf5rMrDWz2H1wdzGnKlkysjLoO6kvjvNyz5cpV6Zc0JFERERERESOWZouEaDE+ERSd6TmO142riz3fHQPAHEWxxl1z6Bj/Y50rN+RsxucTeOajTGz4o4bk0Z+PJK56+fySq9XOKnmSUHHEREREREROaYFurtEUSkpu0vkXZMBoHK5yqT0SOHSUy7liw1f8Hna58xdP5cv1n/BroO7AKhTuQ4dG3Tk7Ppn07FBR9qe2JbK5SoH9TEC8/HajznvxfMY1GoQY64YE3QcERERERGRY0Jhu0uoyBCwI91dIjMrk6+2fMXctLnMXT+Xz9M+59ufvgVCIx9andAqZ6RDx/odSYxPLDWjHVauXMk111yT83r16tXcec+dJL+cTNbWLJrUasLOHTupUaMGS5YsOeTe/fv306VLFw4cOEBGRga9e/dm5MiRACxdupRhw4axe/duGjVqxEsvvUT16tWL86OJiIiIiIiUOCoylFJb925l3vp5OaMd5m+YnzMqol7VejkFh44NOpJUL4mKZSsGnDhymZmZJCQkcMaIM/hkxyfMGzyP1vVac8cddxAfH8+99957yPXuzp49e6hatSrp6el07tyZJ554gg4dOtCuXTseffRRunbtytixY1mzZg0PPPBAQJ9MRERERESkZCisyKA1GUqw2pVrc1mTy7isyWVAaBHEZT8sY27aXD5f/zlz0+Yy6ZtJAJQvU56kekk5Uyw61u9IQvWEIOMflZkzZ1KlbhWm/zSdxy96nNb1WuPuvPbaa8yaNSvf9WZG1apVAUhPTyc9PT1nhMfKlSvp0qULABdccAEXXXSRigwiIiIiIiIRUJGhFCkbV5akekkk1Uvi5rNuBuD73d8fMsVi9Jej+ee8fwKhhSdzLyjZ6oRWMb87w9PPP826Buu49NRL+WP7PwIwe/Zs6taty6mnnlrgPZmZmbRp04b//e9/3HzzzbRv3x6AFi1aMHnyZK644gpef/110tLSiu1ziIiIiIiIlEaaLnGMOZh5kCXfL8mZYjE3bS5pO0N/XFcsW5F2J7bLmWLRsX5H6latG3Din23fs53adWtz3PDjWPHnFRxf5XgAbrrpJk455RTuuOOOwu/fvp0rr7ySJ598khYtWvDf//6XW2+9lR9//JHLL7+cf/3rX/z444/F8VFERERERERKLK3JIIVav3P9IaMdFm1aRHpWOgCNazY+ZEHJlnVbUjYumAEwF99zMdMmTmP69Omc3/h8ADIyMkhISGDhwoXUr1//sG2MHDmSKlWqMHz48EOOr1q1iv79+zN//vwiyS4iIiIiIlJaaE0GKVT96vW56vSruOr0qwDYn7GfRZsW5Yx2mLlmJi8tfwmAKuWqcFbCWTmFhw71O1Crcq0izzjp60lMe3sal1x5SU6BAWDGjBk0bdr0FwsMW7ZsoVy5ctSoUYN9+/YxY8YM7rzzTgA2b97M8ccfT1ZWFg8++CDDhg0r8s8hIiIiIiJSmqnIIPlULFuRsxuczdkNzgZCOzSk7kgNLSgZLjw8NOchMj0TgCa1mvy8k0X9jjSv05wycWWilmfdjnUMnjSYMmvL8OLdLx5y7pVXXqFPnz6HHNu4cSNDhgzh/fffZ9OmTfzud78jMzOTrKwsrr76ai67LLRQ5sSJExk9ejQAPXv2ZNCgQVHLLCIiIiIicizSdAk5KnsO7mHBxgWhdR3C0yy27t0KQPUK1Wmf0D5ntEP7+u2pUbHGUb1PRlYG5714Hku+X8LiGxdz8nEnR/FTiIiIiIiIyK+l6RISdVXKV6Fro650bdQVCI12+G7bd4eMdnhw9oNkeRaG0bxO85wFJc9ucDZNajUhzuIO+z7JnyYze91sJlw5QQUGERERERGRGBfoSAYzOwfoR6jY0RyYDcQD7YG73H1armu/A6YDi9w9pbB2NZIhNuw6sIv5G+bnjHSYt34e2/ZvA6BmxZp0qN8hZ5rFWQlnUa1CNQBeWv4SI2aOYN2OdThO5wadmX397CA/ioiIiIiIiITF7EgGd58NzDaz3wJfuvszAGb2HjAjz+W7gUpAWrGGlKNWrUI1ujfuTvfG3QHI8ixW/bgqNNIhvJvF1P9NBSDO4mh5fEtqV6rN7LTZHMw8mNPOwk0LeWn5S/Rr2S+QzyEiIiIiIiJHJibWZDCz14Ah7r7TzM4CLnP3e/NcEwcYMMXdLy6gjaHAUIDExMQ2qampxZBcIrV9/3a+WP9FzmiHGatn4OT/nmwY35C1f1pb/AFFRERERETkEDE7kgHAzBKBHe6+M3xoCPC3vNe5e1b4+v1mFpf9Otf5FCAFQtMlija1REuNijW46JSLuOiUiwCIG1nwOg3rdqwrzlgiIiIiIiJyFAIvMgCDgecBzKwaUMvd14ZfdwRaAzOBO8PXf5y3wCClR2J8Iqk78o9CSYxPDCCNiIiIiIiI/BqBFxnc/b5cz3cBvXK9ngvMDb+8vpijSQCSuycz9N2h7E3fm3OscrnKJHdPDjCViIiIiIiIHInD7yEoUoz6texHSo8UGsY3xDAaxjckpUeKFn0UEREREREpAWJi4cdo0xaWIiIiIiIiIkWjsIUfNZJBRERERERERKJCRQYRERERERERiQoVGUREREREREQkKkrlmgxmtgXIvw9ibKsNbA06RIxRn+SnPslPfVIw9Ut+6pP81Cf5qU/yU5/kpz4pmPolP/VJfuqT/EpinzR09zoFnSiVRYaSyMwW/NLCGccq9Ul+6pP81CcFU7/kpz7JT32Sn/okP/VJfuqTgqlf8lOf5Kc+ya+09YmmS4iIiIiIiIhIVKjIICIiIiIiIiJRoSJD7EgJOkAMUp/kpz7JT31SMPVLfuqT/NQn+alP8lOf5Kc+KZj6JT/1SX7qk/xKVZ9oTQYRERERERERiQqNZBARERERERGRqFCRIWBm9lsze9bM3jGzC4POEwvMrJmZ/cfM3jCzm4LOEyvMrIqZLTSzy4LOEivM7Fwzmx3+fjk36DyxwMzizCzZzJ40s98FnScWmNk54e+R58zs86DzxAIzSzSzyWY21szuCjpPLDCz5mb2mpk9bWa9g84TJDNrbGZjzOyN8Ou+4d9VxplZlaDzBaWAfrndzBaZWYugswWlgD55Pvx40czKBJ0vCAX0yV/C//95x8yOCzpfEPL2SfjYYDP7JMhcQSrg+2Rq+HeVR4POFg0qMgTM3d929xuAgcA1AceJCe7+jbsPA64GSs1WLlFwJ/Ba0CFijAO7gYrA+oCzxIorgAQgHfUJAO4+O/wz5T3gxaDzxIgmwBR3vx5oHnSYGHEJ8KS73wQMCDpMkNx9tbsPznXoyvDvKq8BPQOKFbi8/eLu/wQmBxgpcAX0ySB3HwRsB04MLFiACuiTh919CPAx0CCwYAHK2ydmdhJQC9gSXKpgFfBzdi+hv81/CChSVKnIEDvuAUYHHSJWmNnlwGfAzKCzxAIzOx/4mlLygyeKZrv7JYQKMCODDhMjTgPmuvvtgEYCHaovMDHoEDFiMXCtmc0CPgo6TIwYT6hPHiH0y6/8LHsBr1SgfpBBJPaZWVOggrunBZ0lFphZeTN7DvgNof+GjmlmFgfcAYwKOEqsucrdhwL1zOyMoMNESkWGgFnIQ8BUd18UdJ5Y4e6T3f1soF/QWWJEN6ADoT+Sbgj/gD7muXtW+Ok2oEKQWWLIekL9AZAZZJBYYmaJwA533xl0lhgxCLjP3c8j9IvvMc/dN7v7zcBdwNag88SoRDRCSgoRnjoyHLg16Cyxwt0PhkcypBAabXisawzUAR4GzjSzSwPOExNy/U67GagaZJZoKBt0AOEW4Hwg3sxOcff/BB0oaOG59T0J/dH4fqBhYoS7jwAws4HA1lw/iI5pZtYTuAioAfw72DQx403gSTM7B/g06DAxZDDwfNAhYsgHwP1m1hdYG3CWmGBmjYC7gSrAI8GmCZaZ1QKSgdZm9lfgbTN7GqgE3BxouAAV0C8bgcuAZmb2oLsvDzRgAPL0yQjgD8BU4F/hPjnmilIFfJ/UACoDNQn9C/4xJ3efEPoX+2vCx+u7+zH5u34B3ydNCU2ZKEuoAFOiaQtLEREREREREYkKDbkWERERERERkahQkUFEREREREREokJFBhERERERERGJChUZRERERERERCQqVGQQERERERERkahQkUFEREQAMDM3s8dyvR5uZvdH+T0+P4Jr1ppZ7QKO329mw6OZR0RERKJLRQYRERHJdgDoWdAf+NHi7mcXVduFMbMyQbyviIjIsUZFBhEREcmWAaQAtx3JxWb2gpn9y8w+N7PVZtY717k/m9mXZrbMzEbmOr47/DXOzJ4ys6/M7D0zez/3/cAtZrbIzJabWdNcx880s1lm9q2Z3RBuy8zsETNbEb7+mvDxc83sIzN7GVhuZlXMbIqZLQ1fe81R95SIiIgUqGzQAURERCSmjAaWmdnDR3h9PaAz0BSYDLxhZhcCpwJnAQZMNrMu7v5prvt6Ao2AlsDxwDfA2Fznt7p7kpn9HhgODAkfPwPoAFQBFpvZFKAj0Ao4E6gNfGlm2e91FtDC3deYWS9go7v/BsDM4o/wM4qIiMgR0kgGERERyeHuO4FxwK1HeMvb7p7l7l8DdcPHLgw/FgOLCBUgTs1zX2fg9fC93wMf5Tn/ZvjrQkLFiGzvuPs+d98avuescFsT3T3T3X8APgHaha+f7+5rws+XA+eb2UNmdo677zjCzygiIiJHSEUGERERyWsUMJjQaIHDOZDrueX6+nd3bxV+nOLuY/LcZxQuu91MDh156Xmu88O0tSfnQvdVQBtCxYa/m9m9h8kgIiIiv5KKDCIiInIId/8JeI1QoeFoTAOuN7OqAGaWYGbH57nmM6BXeG2GusC5R9j2FWZW0cxqhe/5EvgUuMbMyphZHaALMD/vjWZ2IrDX3ScAjwJJv/6jiYiISGG0JoOIiIgU5DHgD0dzo7t/aGbNgLlmBrAb6A9sznXZJKA7sAJYBXwBHMn0hfnAFCAReMDdN5rZW4TWZVhKaGTDX9z9+zwLRkJo/YdHzCwLSAduOprPJyIiIr/M3POOOhQREREpemZW1d13h0clzAc6hddnEBERkRJKIxlEREQkKO+ZWQ2gPKFRCSowiIiIlHAaySAiIiKFMrMRwFV5Dr/u7slB5BEREZHYpSKDiIiIiIiIiESFdpcQERERERERkahQkUFEREREREREokJFBhERERERERGJChUZRERERERERCQqVGQQERERERERkaj4/zcMPSLBvWlWAAAAAElFTkSuQmCC\n", "text/plain": [ - "
" + "
" ] }, "metadata": { @@ -274,21 +196,27 @@ "##### x coordinates\n", "x = np.arange(2,16,1)\n", "mean_scores = []\n", - "mean_times = []\n", + "mean_training_times = []\n", + "mean_predicting_times = []\n", "for i in range(len(all_scores)):\n", - " mean_scores += [round(statistics.mean(all_scores[i]),3)]\n", - " mean_times += [round(statistics.mean(all_times[i]),3)]\n", + " mean_scores += [round(statistics.mean(all_scores[i]),5)]\n", + " mean_training_times += [round(statistics.mean(all_training_times[i])*1000,2)]\n", + " mean_predicting_times += [round(statistics.mean(all_predicting_times[i])*1000,2)]\n", "mean_scores = np.float64(mean_scores)\n", - "mean_times = np.float64(mean_times)\n", + "mean_training_times = np.float64(mean_training_times)\n", + "mean_predicting_times = np.float64(mean_predicting_times)\n", "\n", "### Create plot\n", - "fig, figs = plt.subplots(nrows=2, ncols=1, figsize=(15,10))\n", + "fig, figs = plt.subplots(nrows=3, ncols=1, figsize=(15,10))\n", "fig.tight_layout(pad=3.0)\n", "figs[0].plot(x,mean_scores, marker='o', color='r')\n", - "figs[1].plot(x,mean_times, marker='o', color='b')\n", + "figs[1].plot(x,mean_training_times, marker='o', color='b')\n", + "figs[2].plot(x,mean_predicting_times, marker='o', color='g')\n", + "\n", "### Add every x coordinates\n", "figs[0].tick_params(axis='both', which='both', labelsize=7, labelbottom=True)\n", "figs[1].tick_params(axis='both', which='both', labelsize=7, labelbottom=True)\n", + "figs[2].tick_params(axis='both', which='both', labelsize=7, labelbottom=True)\n", "\n", "for i in range(len(x)):\n", " figs[0].annotate(mean_scores[i], # this is the text\n", @@ -296,27 +224,36 @@ " textcoords=\"offset points\", # how to position the text\n", " xytext=(15,5), # distance from text to points (x,y)\n", " ha='center') # horizontal alignment can be left, right or center\n", - " figs[1].annotate(mean_times[i], # this is the text\n", - " (x[i],mean_times[i]), # these are the coordinates to position the label\n", + " figs[1].annotate(mean_training_times[i], # this is the text\n", + " (x[i],mean_training_times[i]), # these are the coordinates to position the label\n", + " textcoords=\"offset points\", # how to position the text\n", + " xytext=(15,5), # distance from text to points (x,y)\n", + " ha='center') # horizontal alignment can be left, right or center\n", + " figs[2].annotate(mean_predicting_times[i], # this is the text\n", + " (x[i],mean_predicting_times[i]), # these are the coordinates to position the label\n", " textcoords=\"offset points\", # how to position the text\n", " xytext=(15,5), # distance from text to points (x,y)\n", " ha='center') # horizontal alignment can be left, right or center\n", "\n", "figs[0].set_xticks(x)\n", "figs[1].set_xticks(x)\n", + "figs[2].set_xticks(x)\n", " \n", "### Add title and axis names\n", "figs[0].title.set_text('Mean scores for k neighbors')\n", "figs[1].title.set_text('Mean training times for k neighbors')\n", + "figs[2].title.set_text('Mean predicting times for k neighbors')\n", "figs[0].set_xlabel('N_neighbors')\n", "figs[1].set_xlabel('N_neighbors')\n", + "figs[2].set_xlabel('N_neighbors')\n", "figs[0].set_ylabel('Score')\n", - "figs[1].set_ylabel('Times')" + "figs[1].set_ylabel('Training times (in ms)')\n", + "figs[2].set_ylabel('Predicting times (in ms)')" ] }, { "cell_type": "code", - "execution_count": 108, + "execution_count": 28, "id": "cc24e898", "metadata": {}, "outputs": [ @@ -324,15 +261,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "Computing for j = 10 %\n", - "Computing for j = 20 %\n", - "Computing for j = 30 %\n", - "Computing for j = 40 %\n", - "Computing for j = 50 %\n", - "Computing for j = 60 %\n", - "Computing for j = 70 %\n", - "Computing for j = 80 %\n", - "Computing for j = 90 %\n" + "Computing for j = 10 %...\n", + "Computing for j = 20 %...\n", + "Computing for j = 30 %...\n", + "Computing for j = 40 %...\n", + "Computing for j = 50 %...\n", + "Computing for j = 60 %...\n", + "Computing for j = 70 %...\n", + "Computing for j = 80 %...\n", + "Computing for j = 90 %...\n", + "Done\n" ] } ], @@ -354,30 +292,31 @@ "### Train the algorithm with various percentage of the dataset used for training\n", "### from 10% to 90% by 10% increment\n", "for j in range (1, 10):\n", - " print(\"Computing for j =\", j*10, \"%\")\n", + " print(\"Computing for j =\", j*10, \"%...\")\n", " # Split the dataset\n", " xtrain, xtest, ytrain, ytest = model_selection.train_test_split(data, target,train_size=(j/10))\n", " \n", " # Training on xtrain,ytrain\n", - " t1 = round(time.time(),3)\n", + " t1 = round(time.time(),5)\n", " clf = neighbors.KNeighborsClassifier(n_neighbors=3)\n", " clf.fit(xtrain, ytrain)\n", - " t2 = round(time.time(),3)\n", + " t2 = round(time.time(),5)\n", " \n", " # Predicting on xtest\n", " pred = clf.predict(xtest)\n", - " t3 = round(time.time(),3)\n", - " training_times.append(round(t2-t1,3))\n", - " prediction_times.append(round(t3-t2,3))\n", + " t3 = round(time.time(),5)\n", + " training_times.append(round(t2-t1,5))\n", + " prediction_times.append(round(t3-t2,5))\n", " # Probabilités des prédictions sur xtest\n", " pred_proba = clf.predict_proba(xtest)\n", " # On calcule le score obtenu sur xtest avec les étiquettes ytest\n", - " scores.append(round(clf.score(xtest, ytest),3))" + " scores.append(round(clf.score(xtest, ytest),3))\n", + "print(\"Done\")" ] }, { "cell_type": "code", - "execution_count": 109, + "execution_count": 30, "id": "cbb5eda6", "metadata": {}, "outputs": [ @@ -386,24 +325,24 @@ "output_type": "stream", "text": [ "training_times : \n", - " [0.028, 0.003, 0.004, 0.004, 0.005, 0.006, 0.007, 0.008, 0.013]\n", + " [0.00296, 0.002, 0.003, 0.00399, 0.00698, 0.00499, 0.00698, 0.00698, 0.00898]\n", "prediction_times : \n", - " [0.252, 0.248, 0.262, 0.242, 0.242, 0.232, 0.18, 0.171, 0.081]\n" + " [0.19548, 0.25033, 0.24833, 0.2244, 0.24136, 0.22241, 0.17752, 0.12467, 0.08975]\n" ] }, { "data": { "text/plain": [ - "Text(108.0, 0.5, 'Times(in ms)')" + "Text(108.0, 0.5, 'Times (in ms)')" ] }, - "execution_count": 109, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -420,15 +359,15 @@ "print(\"training_times : \\n\", training_times)\n", "print(\"prediction_times : \\n\", prediction_times)\n", "\n", - "training_times = [i*1000 for i in training_times]\n", - "prediction_times = [i*1000 for i in prediction_times]\n", + "training_times_ms = [round(i*1000,2) for i in training_times]\n", + "prediction_times_ms = [round(i*1000,2) for i in prediction_times]\n", "\n", "### Create plot\n", "fig, figs = plt.subplots(nrows=3, ncols=1, figsize=(15,10))\n", "fig.tight_layout(pad=3.0)\n", "figs[0].plot(x,scores, marker='o', color='r')\n", - "figs[1].plot(x,training_times, marker='o', color='b')\n", - "figs[2].plot(x,prediction_times, marker='o', color='g')\n", + "figs[1].plot(x,training_times_ms, marker='o', color='b')\n", + "figs[2].plot(x,prediction_times_ms, marker='o', color='g')\n", "### Add every x coordinates\n", "figs[0].tick_params(axis='both', which='both', labelsize=7, labelbottom=True)\n", "figs[1].tick_params(axis='both', which='both', labelsize=7, labelbottom=True)\n", @@ -440,13 +379,13 @@ " textcoords=\"offset points\", # how to position the text\n", " xytext=(15,5), # distance from text to points (x,y)\n", " ha='center') # horizontal alignment can be left, right or center\n", - " figs[1].annotate(training_times[i], # this is the text\n", - " (x[i],training_times[i]), # these are the coordinates to position the label\n", + " figs[1].annotate(training_times_ms[i], # this is the text\n", + " (x[i],training_times_ms[i]), # these are the coordinates to position the label\n", " textcoords=\"offset points\", # how to position the text\n", " xytext=(15,5), # distance from text to points (x,y)\n", " ha='center') # horizontal alignment can be left, right or center\n", - " figs[2].annotate(prediction_times[i], # this is the text\n", - " (x[i],prediction_times[i]), # these are the coordinates to position the label\n", + " figs[2].annotate(prediction_times_ms[i], # this is the text\n", + " (x[i],prediction_times_ms[i]), # these are the coordinates to position the label\n", " textcoords=\"offset points\", # how to position the text\n", " xytext=(15,5), # distance from text to points (x,y)\n", " ha='center') # horizontal alignment can be left, right or center\n", @@ -464,12 +403,12 @@ "figs[2].set_xlabel('Percentage of training dataset')\n", "figs[0].set_ylabel('Score')\n", "figs[1].set_ylabel('Times (in ms)')\n", - "figs[2].set_ylabel('Times(in ms)')" + "figs[2].set_ylabel('Times (in ms)')" ] }, { "cell_type": "code", - "execution_count": 104, + "execution_count": 33, "id": "572d0a52", "metadata": {}, "outputs": [ @@ -477,19 +416,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "Computing for taille échantillon = 5000 données\n", - "Computing for taille échantillon = 10000 données\n", - "Computing for taille échantillon = 15000 données\n", - "Computing for taille échantillon = 20000 données\n", - "Computing for taille échantillon = 25000 données\n", - "Computing for taille échantillon = 30000 données\n", - "Computing for taille échantillon = 35000 données\n", - "Computing for taille échantillon = 40000 données\n", - "Computing for taille échantillon = 45000 données\n", - "Computing for taille échantillon = 50000 données\n", - "Computing for taille échantillon = 55000 données\n", - "Computing for taille échantillon = 60000 données\n", - "Computing for taille échantillon = 65000 données\n" + "Computing for taille échantillon = 5000 données...\n", + "Computing for taille échantillon = 10000 données...\n", + "Computing for taille échantillon = 15000 données...\n", + "Computing for taille échantillon = 20000 données...\n", + "Computing for taille échantillon = 25000 données...\n", + "Computing for taille échantillon = 30000 données...\n", + "Computing for taille échantillon = 35000 données...\n", + "Computing for taille échantillon = 40000 données...\n", + "Computing for taille échantillon = 45000 données...\n", + "Computing for taille échantillon = 50000 données...\n", + "Computing for taille échantillon = 55000 données...\n", + "Computing for taille échantillon = 60000 données...\n", + "Computing for taille échantillon = 65000 données...\n", + "Computing for taille échantillon = 70000 données...\n", + "Done\n" ] } ], @@ -499,8 +440,8 @@ "training_times = []\n", "prediction_times = []\n", "\n", - "for i in range (1,14):\n", - " print(\"Computing for taille échantillon = \", i*5000, \" données\")\n", + "for i in range (1,15):\n", + " print(\"Computing for taille échantillon = \", i*5000, \" données...\")\n", " ### Create vector of 5000 random indexes\n", " rand_indexes = np.random.randint(70000, size=i*5000)\n", " ### Load data with the previous vector\n", @@ -511,41 +452,42 @@ " xtrain, xtest, ytrain, ytest = model_selection.train_test_split(data, target,train_size=(0.9))\n", "\n", " # Training on xtrain,ytrain\n", - " t1 = round(time.time(),3)\n", + " t1 = round(time.time(),5)\n", " clf = neighbors.KNeighborsClassifier(n_neighbors=3)\n", " clf.fit(xtrain, ytrain)\n", - " t2 = round(time.time(),3)\n", + " t2 = round(time.time(),5)\n", "\n", " # Predicting on xtest\n", " pred = clf.predict(xtest)\n", - " t3 = round(time.time(),3)\n", - " training_times.append(round(t2-t1,3))\n", - " prediction_times.append(round(t3-t2,3))\n", + " t3 = round(time.time(),5)\n", + " training_times.append(round(t2-t1,5))\n", + " prediction_times.append(round(t3-t2,5))\n", " # Probabilités des prédictions sur xtest\n", " pred_proba = clf.predict_proba(xtest)\n", " # On calcule le score obtenu sur xtest avec les étiquettes ytest\n", - " scores.append(round(clf.score(xtest, ytest),3))" + " scores.append(round(clf.score(xtest, ytest),3))\n", + "print(\"Done\")" ] }, { "cell_type": "code", - "execution_count": 107, + "execution_count": 34, "id": "61279a41", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Text(108.0, 0.5, 'Times(in ms)')" + "Text(108.0, 0.5, 'Times (in ms)')" ] }, - "execution_count": 107, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -558,17 +500,17 @@ ], "source": [ "##### x coordinates\n", - "x = np.arange(5000,70000,5000)\n", + "x = np.arange(5000,75000,5000)\n", "\n", - "training_times = [i*1000 for i in training_times]\n", - "prediction_times = [i*1000 for i in prediction_times]\n", + "training_times_ms = [round(i*1000,2) for i in training_times]\n", + "prediction_times_ms = [round(i*1000,2) for i in prediction_times]\n", "\n", "### Create plot\n", "fig, figs = plt.subplots(nrows=3, ncols=1, figsize=(15,10))\n", "fig.tight_layout(pad=3.0)\n", "figs[0].plot(x,scores, marker='o', color='r')\n", - "figs[1].plot(x,training_times, marker='o', color='b')\n", - "figs[2].plot(x,prediction_times, marker='o', color='g')\n", + "figs[1].plot(x,training_times_ms, marker='o', color='b')\n", + "figs[2].plot(x,prediction_times_ms, marker='o', color='g')\n", "### Add every x coordinates\n", "figs[0].tick_params(axis='both', which='both', labelsize=7, labelbottom=True)\n", "figs[1].tick_params(axis='both', which='both', labelsize=7, labelbottom=True)\n", @@ -580,13 +522,13 @@ " textcoords=\"offset points\", # how to position the text\n", " xytext=(15,5), # distance from text to points (x,y)\n", " ha='center') # horizontal alignment can be left, right or center\n", - " figs[1].annotate(training_times[i], # this is the text\n", - " (x[i],training_times[i]), # these are the coordinates to position the label\n", + " figs[1].annotate(training_times_ms[i], # this is the text\n", + " (x[i],training_times_ms[i]), # these are the coordinates to position the label\n", " textcoords=\"offset points\", # how to position the text\n", " xytext=(15,5), # distance from text to points (x,y)\n", " ha='center') # horizontal alignment can be left, right or center\n", - " figs[2].annotate(prediction_times[i], # this is the text\n", - " (x[i],prediction_times[i]), # these are the coordinates to position the label\n", + " figs[2].annotate(prediction_times_ms[i], # this is the text\n", + " (x[i],prediction_times_ms[i]), # these are the coordinates to position the label\n", " textcoords=\"offset points\", # how to position the text\n", " xytext=(15,5), # distance from text to points (x,y)\n", " ha='center') # horizontal alignment can be left, right or center\n", @@ -597,31 +539,38 @@ " \n", "### Add title and axis names\n", "figs[0].title.set_text('Scores for various size of the dataset (k=3,train_size=0.9)')\n", - "figs[1].title.set_text('Training times for various size of the dataset')\n", - "figs[2].title.set_text('Prediction times for various size of the dataset')\n", + "figs[1].title.set_text('Training times for various size of the dataset (k=3,train_size=0.9)')\n", + "figs[2].title.set_text('Prediction times for various size of the dataset (k=3,train_size=0.9)')\n", "figs[0].set_xlabel('Size of the dataset')\n", "figs[1].set_xlabel('Size of the dataset')\n", "figs[2].set_xlabel('Size of the dataset')\n", "figs[0].set_ylabel('Score')\n", "figs[1].set_ylabel('Times (in ms)')\n", - "figs[2].set_ylabel('Times(in ms)')" + "figs[2].set_ylabel('Times (in ms)')" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 35, "id": "b766a47e", "metadata": { - "scrolled": true + "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Computing for d = manhattan\n", + "Computing for d = manhattan ...\n", "Fitting...\n", - "Predicting...\n" + "Predicting...\n", + "Computing for d = euclidean ...\n", + "Fitting...\n", + "Predicting...\n", + "Computing for d = minkowski ...\n", + "Fitting...\n", + "Predicting...\n", + "Done\n" ] } ], @@ -629,7 +578,7 @@ "####### Variation des types de distances utilisées #######\n", "\n", "### Create vector of 5000 random indexes\n", - "rand_indexes = np.random.randint(70000, size=50000)\n", + "rand_indexes = np.random.randint(70000, size=25000)\n", "### Load data with the previous vector\n", "data = mnist.data[rand_indexes]\n", "# print(\"Dataset : \", data)\n", @@ -645,32 +594,33 @@ "names_distances = [\"manhattan\",\"euclidean\",\"minkowski\"]\n", "\n", "for i in distances:\n", - " print(\"Computing for d =\", names_distances[i-1])\n", + " print(\"Computing for d =\", names_distances[i-1],\"...\")\n", " # Split the dataset\n", " xtrain, xtest, ytrain, ytest = model_selection.train_test_split(data, target,train_size=0.9)\n", " \n", " # Training on xtrain,ytrain\n", - " t1 = round(time.time(),3)\n", + " t1 = round(time.time(),5)\n", " clf = neighbors.KNeighborsClassifier(n_neighbors=3,p=i)\n", " print(\"Fitting...\")\n", " clf.fit(xtrain, ytrain)\n", - " t2 = round(time.time(),3)\n", + " t2 = round(time.time(),5)\n", " \n", " # Predicting on xtest\n", " print(\"Predicting...\")\n", " pred = clf.predict(xtest)\n", - " t3 = round(time.time(),3)\n", - " training_times.append(round(t2-t1,3))\n", - " prediction_times.append(round(t3-t2,3))\n", + " t3 = round(time.time(),5)\n", + " training_times.append(round(t2-t1,5))\n", + " prediction_times.append(round(t3-t2,5))\n", " # Probabilités des prédictions sur xtest\n", " pred_proba = clf.predict_proba(xtest)\n", " # On calcule le score obtenu sur xtest avec les étiquettes ytest\n", - " scores.append(round(clf.score(xtest, ytest),3))" + " scores.append(round(clf.score(xtest, ytest),3))\n", + "print(\"Done\")" ] }, { "cell_type": "code", - "execution_count": 101, + "execution_count": 40, "id": "8f4fd158", "metadata": {}, "outputs": [ @@ -679,29 +629,25 @@ "output_type": "stream", "text": [ "names_distances : ['manhattan', 'euclidean', 'minkowski']\n", - "training_times : [78.0, 92.0]\n", - "prediction_times : [219800.0, 5061.0]\n" - ] - }, - { - "ename": "ValueError", - "evalue": "x and y must have same first dimension, but have shapes (3,) and (2,)", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in 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\u001b[1;33m!=\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 399\u001b[1;33m raise ValueError(f\"x and y must have same first dimension, but \"\n\u001b[0m\u001b[0;32m 400\u001b[0m f\"have shapes {x.shape} and {y.shape}\")\n\u001b[0;32m 401\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m2\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m2\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mValueError\u001b[0m: x and y must have same first dimension, but have shapes (3,) and (2,)" + "training_times_ms : [62.87, 46.87, 49.9]\n", + "prediction_times_ms : [55381.76, 1318.48, 667718.1]\n" ] }, { "data": { - "image/png": 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\n", "text/plain": [ - "
" + "Text(63.0, 0.5, 'Times (in ms)')" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" ] }, "metadata": { @@ -714,17 +660,17 @@ "##### x coordinates\n", "x = names_distances\n", "print(\"names_distances : \", names_distances)\n", - "training_times = [i*1000 for i in training_times]\n", - "print(\"training_times : \", training_times)\n", - "prediction_times = [i*1000 for i in prediction_times]\n", - "print(\"prediction_times : \", prediction_times)\n", + "training_times_ms = [round(i*1000,2) for i in training_times]\n", + "print(\"training_times_ms : \", training_times_ms)\n", + "prediction_times_ms = [round(i*1000,2) for i in prediction_times]\n", + "print(\"prediction_times_ms : \", prediction_times_ms)\n", "\n", "### Create plot\n", - "fig, figs = plt.subplots(nrows=3, ncols=1, figsize=(15,10))\n", + "fig, figs = plt.subplots(nrows=3, ncols=1, figsize=(10,10))\n", "fig.tight_layout(pad=3.0)\n", "figs[0].plot(x,scores, marker='o', color='r')\n", - "figs[1].plot(x,training_times, marker='o', color='b')\n", - "figs[2].plot(x,prediction_times, marker='o', color='g')\n", + "figs[1].plot(x,training_times_ms, marker='o', color='b')\n", + "figs[2].plot(x,prediction_times_ms, marker='o', color='g')\n", "### Add every x coordinates\n", "figs[0].tick_params(axis='both', which='both', labelsize=7, labelbottom=True)\n", "figs[1].tick_params(axis='both', which='both', labelsize=7, labelbottom=True)\n", @@ -736,13 +682,13 @@ " textcoords=\"offset points\", # how to position the text\n", " xytext=(15,5), # distance from text to points (x,y)\n", " ha='center') # horizontal alignment can be left, right or center\n", - " figs[1].annotate(training_times[i], # this is the text\n", - " (x[i],training_times[i]), # these are the coordinates to position the label\n", + " figs[1].annotate(training_times_ms[i], # this is the text\n", + " (x[i],training_times_ms[i]), # these are the coordinates to position the label\n", " textcoords=\"offset points\", # how to position the text\n", " xytext=(15,5), # distance from text to points (x,y)\n", " ha='center') # horizontal alignment can be left, right or center\n", - " figs[2].annotate(prediction_times[i], # this is the text\n", - " (x[i],prediction_times[i]), # these are the coordinates to position the label\n", + " figs[2].annotate(prediction_times_ms[i], # this is the text\n", + " (x[i],prediction_times_ms[i]), # these are the coordinates to position the label\n", " textcoords=\"offset points\", # how to position the text\n", " xytext=(15,5), # distance from text to points (x,y)\n", " ha='center') # horizontal alignment can be left, right or center\n", @@ -752,32 +698,170 @@ "figs[2].set_xticks(x)\n", " \n", "### Add title and axis names\n", - "figs[0].title.set_text('Scores for various distance type (k=3,train_size=0.9,dataset_size=50000)')\n", - "figs[1].title.set_text('Training times for various distance type (k=3,train_size=0.9,dataset_size=50000)')\n", - "figs[2].title.set_text('Prediction times for various distance type (k=3,train_size=0.9,dataset_size=50000)')\n", + "figs[0].title.set_text('Scores for various distance type (k=3,train_size=0.9,dataset_size=25000)')\n", + "figs[1].title.set_text('Training times for various distance type (k=3,train_size=0.9,dataset_size=25000)')\n", + "figs[2].title.set_text('Prediction times for various distance type (k=3,train_size=0.9,dataset_size=25000)')\n", "figs[0].set_xlabel('Distance type')\n", "figs[1].set_xlabel('Distance type')\n", "figs[2].set_xlabel('Distance type')\n", "figs[0].set_ylabel('Score')\n", "figs[1].set_ylabel('Times (in ms)')\n", - "figs[2].set_ylabel('Times(in ms)')" + "figs[2].set_ylabel('Times (in ms)')" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 44, "id": "24b641ef", "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Computing for n_jobs = -1 ...\n", + "Fitting...\n", + "Predicting...\n", + "Computing for n_jobs = 1 ...\n", + "Fitting...\n", + "Predicting...\n", + "Done\n" + ] + } + ], + "source": [ + "####### Variation de n_jobs #######\n", + "\n", + "### Create vector of 5000 random indexes\n", + "rand_indexes = np.random.randint(70000, size=25000)\n", + "### Load data with the previous vector\n", + "data = mnist.data[rand_indexes]\n", + "# print(\"Dataset : \", data)\n", + "target = mnist.target[rand_indexes]\n", + "# print(\"Etiquettes : \", target)\n", + "\n", + "scores = []\n", + "training_times = []\n", + "prediction_times = []\n", + "\n", + "### Train the algorithm with various distance types\n", + "nb_jobs = [-1,1]\n", + "\n", + "for i in nb_jobs:\n", + " print(\"Computing for n_jobs =\", i,\"...\")\n", + " # Split the dataset\n", + " xtrain, xtest, ytrain, ytest = model_selection.train_test_split(data, target,train_size=0.9)\n", + " \n", + " # Training on xtrain,ytrain\n", + " t1 = round(time.time(),5)\n", + " clf = neighbors.KNeighborsClassifier(n_neighbors=3,p=2,n_jobs=i)\n", + " print(\"Fitting...\")\n", + " clf.fit(xtrain, ytrain)\n", + " t2 = round(time.time(),5)\n", + " \n", + " # Predicting on xtest\n", + " print(\"Predicting...\")\n", + " pred = clf.predict(xtest)\n", + " t3 = round(time.time(),5)\n", + " training_times.append(round(t2-t1,5))\n", + " prediction_times.append(round(t3-t2,5))\n", + " # Probabilités des prédictions sur xtest\n", + " pred_proba = clf.predict_proba(xtest)\n", + " # On calcule le score obtenu sur xtest avec les étiquettes ytest\n", + " scores.append(round(clf.score(xtest, ytest),3))\n", + "print(\"Done\")" + ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 48, "id": "343e5d14", "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "names_distances : ['manhattan', 'euclidean', 'minkowski']\n", + "training_times_ms : [49.86, 44.88]\n", + "prediction_times_ms : [1762.26, 1307.53]\n" + ] + }, + { + "data": { + "text/plain": [ + "Text(36.0, 0.5, 'Times (in ms)')" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "##### x coordinates\n", + "x = nb_jobs\n", + "print(\"names_distances : \", names_distances)\n", + "training_times_ms = [round(i*1000,2) for i in training_times]\n", + "print(\"training_times_ms : \", training_times_ms)\n", + "prediction_times_ms = [round(i*1000,2) for i in prediction_times]\n", + "print(\"prediction_times_ms : \", prediction_times_ms)\n", + "\n", + "### Create plot\n", + "fig, figs = plt.subplots(nrows=3, ncols=1, figsize=(7,10))\n", + "fig.tight_layout(pad=3.0)\n", + "figs[0].bar(x,scores, color='r')\n", + "figs[1].bar(x,training_times_ms, color='b')\n", + "figs[2].bar(x,prediction_times_ms, color='g')\n", + "### Add every x coordinates\n", + "figs[0].tick_params(axis='both', which='both', labelsize=7, labelbottom=True)\n", + "figs[1].tick_params(axis='both', which='both', labelsize=7, labelbottom=True)\n", + "figs[2].tick_params(axis='both', which='both', labelsize=7, labelbottom=True)\n", + "\n", + "for i in range(len(x)):\n", + " figs[0].annotate(scores[i], # this is the text\n", + " (x[i],scores[i]), # these are the coordinates to position the label\n", + " textcoords=\"offset points\", # how to position the text\n", + " xytext=(15,5), # distance from text to points (x,y)\n", + " ha='center') # horizontal alignment can be left, right or center\n", + " figs[1].annotate(training_times_ms[i], # this is the text\n", + " (x[i],training_times_ms[i]), # these are the coordinates to position the label\n", + " textcoords=\"offset points\", # how to position the text\n", + " xytext=(15,5), # distance from text to points (x,y)\n", + " ha='center') # horizontal alignment can be left, right or center\n", + " figs[2].annotate(prediction_times_ms[i], # this is the text\n", + " (x[i],prediction_times_ms[i]), # these are the coordinates to position the label\n", + " textcoords=\"offset points\", # how to position the text\n", + " xytext=(15,5), # distance from text to points (x,y)\n", + " ha='center') # horizontal alignment can be left, right or center\n", + "\n", + "figs[0].set_xticks(x)\n", + "figs[1].set_xticks(x)\n", + "figs[2].set_xticks(x)\n", + " \n", + "### Add title and axis names\n", + "figs[0].title.set_text('Scores for various n_jobs (k=3,train_size=0.9,dataset_size=25000,p=2)')\n", + "figs[1].title.set_text('Training times for various n_jobs (k=3,train_size=0.9,dataset_size=25000,p=2)')\n", + "figs[2].title.set_text('Prediction times for various n_jobs (k=3,train_size=0.9,dataset_size=25000,p=2)')\n", + "figs[0].set_xlabel('n_jobs')\n", + "figs[1].set_xlabel('n_jobs')\n", + "figs[2].set_xlabel('n_jobs')\n", + "figs[0].set_ylabel('Score')\n", + "figs[1].set_ylabel('Times (in ms)')\n", + "figs[2].set_ylabel('Times (in ms)')" + ] }, { "cell_type": "code", diff --git a/TP1_prog2.py.ipynb b/TP1_prog2.py.ipynb index 72e8780..9858097 100644 --- a/TP1_prog2.py.ipynb +++ b/TP1_prog2.py.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 23, + "execution_count": 3, "id": "530f620c", "metadata": {}, "outputs": [], @@ -21,7 +21,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 4, "id": "68b6a517", "metadata": {}, "outputs": [], @@ -40,81 +40,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "Dataset : [[0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " ...\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]]\n", - "Etiquettes : ['8' '2' '9' ... '5' '2' '8']\n", - "Prédiction : ['4' '2' '3' '0' '5' '0' '3' '8' '5' '4' '7' '6' '6' '2' '2' '1' '0' '3'\n", - " '0' '2' '6' '7' '1' '3' '8' '2' '8' '3' '8' '0' '9' '6' '7' '7' '4' '3'\n", - " '4' '8' '6' '9' '8' '8' '3' '2' '6' '3' '4' '2' '1' '2' '7' '1' '0' '6'\n", - " '3' '8' '5' '9' '3' '2' '2' '2' '5' '6' '1' '7' '5' '7' '2' '3' '8' '5'\n", - " '1' '7' '6' '7' '8' '7' '4' '0' '3' '8' '7' '1' '4' '3' '3' '2' '2' '3'\n", - " '1' '1' '0' '6' '3' '9' '1' '0' '7' '5' '6' '2' '1' '0' '2' '5' '9' '2'\n", - " '5' '1' '9' '7' '4' '8' '4' '4' '7' '5' '0' '0' '7' '6' '7' '3' '2' '1'\n", - " '5' '3' '5' '8' '5' '1' '7' '0' '2' '8' '8' '3' '5' '1' '5' '0' '0' '6'\n", - " '0' '5' '3' '4' '3' '9' '7' '3' '5' '5' '5' '7' '2' '0' '5' '3' '5' '8'\n", - " '3' '6' '2' '6' '1' '3' '2' '3' '3' '7' '3' '4' '3' '0' '4' '5' '1' '5'\n", - " '1' '7' '6' '1' '0' '2' '6' '5' '3' '3' '1' '3' '6' '7' '9' '1' '7' '6'\n", - " '2' '5' '2' '6' '2' '3' '3' '3' '1' '3' '7' '7' '6' '8' '3' '1' '4' '5'\n", - " '7' '4' '0' '5' '4' '4' '4' '9' '1' '0' '7' '7' '1' '3' '9' '4' '4' '6'\n", - " '2' '0' '6' '8' '1' '8' '9' '7' '3' '6' '0' '8' '1' '1' '1' '1' '4' '3'\n", - " '0' '6' '3' '1' '3' '7' '1' '0' '8' '4' '5' '7' '5' '3' '9' '5' '0' '2'\n", - " '8' '9' '7' '0' '4' '5' '4' '9' '4' '7' '8' '2' '7' '4' '7' '6' '7' '5'\n", - " '1' '0' '6' '5' '5' '0' '2' '0' '3' '2' '9' '8' '3' '7' '3' '1' '1' '5'\n", - " '8' '2' '6' '6' '0' '2' '0' '2' '1' '2' '1' '7' '0' '6' '4' '9' '7' '5'\n", - " '0' '3' '2' '2' '5' '3' '1' '0' '0' '5' '8' '5' '0' '1' '0' '7' '3' '9'\n", - " '5' '0' '4' '7' '7' '1' '7' '1' '7' '1' '3' '8' '7' '4' '1' '9' '7' '3'\n", - " '2' '7' '4' '7' '0' '6' '9' '7' '1' '2' '1' '5' '0' '7' '8' '0' '3' '2'\n", - " '5' '1' '3' '3' '8' '6' '1' '2' '5' '5' '6' '9' '1' '1' '2' '0' '6' '8'\n", - " '1' '4' '7' '0' '1' '2' '0' '4' '2' '6' '0' '4' '1' '7' '2' '6' '4' '6'\n", - " '5' '3' '6' '0' '4' '2' '9' '7' '9' '1' '6' '9' '2' '8' '1' '7' '7' '6'\n", - " '1' '3' '5' '5' '6' '6' '1' '1' '6' '1' '8' '8' '9' '1' '1' '0' '5' '1'\n", - " '0' '5' '2' '0' '3' '9' '7' '0' '4' '5' '5' '5' '9' '2' '0' '4' '9' '6'\n", - " '0' '7' '5' '8' '3' '8' '3' '9' '6' '4' '6' '5' '7' '4' '6' '8' '8' '0'\n", - " '0' '6' '3' '8' '6' '8' '3' '9' '4' '7' '6' '4' '1' '0' '9' '4' '3' '0'\n", - " '2' '2' '4' '1' '5' '5' '5' '7' '7' '9' '1' '5' '1' '6' '8' '0' '1' '0'\n", - " '3' '3' '0' '8' '3' '5' '3' '6' '3' '8' '6' '8' '4' '3' '5' '3' '4' '6'\n", - " '7' '1' '6' '2' '7' '9' '0' '2' '8' '1' '8' '2' '8' '0' '7' '6' '2' '9'\n", - " '1' '6' '5' '6' '9' '4' '5' '6' '2' '1' '0' '0' '0' '2' '5' '3' '7' '6'\n", - " '5' '8' '8' '8' '6' '5' '4' '3' '4' '3' '3' '6' '1' '0' '3' '3' '1' '9'\n", - " '6' '7' '5' '9' '7' '7' '3' '2' '4' '9' '8' '8' '4' '4' '3' '5' '8' '2'\n", - " '7' '3' '5' '9' '7' '3' '4' '2' '9' '8' '7' '3' '5' '0' '2' '3' '9' '3'\n", - " '0' '0' '1' '7' '2' '1' '1' '9' '5' '3' '6' '0' '9' '7' '1' '2' '1' '0'\n", - " '4' '4' '3' '0' '4' '6' '5' '6' '9' '9' '1' '2' '0' '3' '8' '6' '0' '6'\n", - " '3' '0' '7' '3' '4' '0' '1' '8' '9' '0' '7' '4' '1' '2' '2' '0' '1' '3'\n", - " '5' '0' '5' '0' '9' '8' '2' '7' '6' '3' '6' '2' '5' '2' '9' '1' '4' '3'\n", - " '5' '5' '2' '7' '8' '1' '8' '9' '2' '9' '3' '4' '5' '5' '5' '3' '4' '4'\n", - " '3' '7' '6' '1' '2' '4' '7' '9' '6' '9' '7' '1' '8' '8' '2' '7' '1' '3'\n", - " '9' '6' '1' '5' '9' '5' '7' '6' '9' '3' '7' '1' '9' '1' '8' '0' '7' '5'\n", - " '8' '0' '5' '3' '2' '7' '6' '8' '4' '7' '6' '0' '1' '4' '2' '9' '9' '4'\n", - " '3' '8' '5' '3' '1' '2' '0' '1' '8' '6' '4' '2' '7' '3' '3' '7' '8' '0'\n", - " '5' '6' '3' '9' '6' '5' '5' '1' '8' '4' '5' '2' '3' '8' '7' '6' '4' '2'\n", - " '3' '8' '6' '9' '9' '6' '1' '1' '5' '6' '2' '7' '9' '0' '0' '5' '0' '0'\n", - " '9' '9' '7' '3' '1' '0' '3' '2' '7' '1' '8' '4' '9' '2' '9' '9' '5' '8'\n", - " '1' '3' '8' '6' '7' '4' '8' '0' '7' '7' '4' '6' '6' '1' '2' '3' '9' '1'\n", - " '2' '5' '5' '1' '1' '9' '5' '0' '1' '8' '0' '4' '3' '0' '9' '1' '9' '0'\n", - " '3' '0' '5' '9' '0' '1' '0' '1' '3' '8' '2' '1' '1' '8' '7' '9' '3' '0'\n", - " '2' '6' '9' '9' '1' '5' '5' '4' '6' '7' '5' '1' '6' '3' '2' '6' '9' '8'\n", - " '2' '6' '0' '0' '8' '3' '7' '8' '2' '4' '7' '7' '1' '7' '7' '4' '3' '2'\n", - " '2' '9' '4' '1' '8' '1' '0' '2' '1' '1' '8' '6' '6' '1' '4' '2' '2' '9'\n", - " '9' '8' '6' '8' '8' '8' '7' '1' '7' '4' '5' '1' '0' '0' '0' '5' '4' '9'\n", - " '3' '0' '6' '7' '3' '0' '0' '4' '8' '6' '5' '9' '1' '5' '3' '6' '5' '3'\n", - " '1' '4' '8' '4' '7' '6' '3' '7' '6' '3']\n", - "Probabilités : [[0. 0.1 0. ... 0.1 0. 0.1]\n", - " [0. 0. 0.8 ... 0.2 0. 0. ]\n", - " [0. 0. 0. ... 0. 0. 0. ]\n", - " ...\n", - " [0. 0. 0. ... 1. 0. 0. ]\n", - " [0. 0. 0. ... 0. 0. 0. ]\n", - " [0. 0. 0. ... 0. 0. 0. ]]\n", - "Classe image 4 : 5\n", - "Classe prédite image 4 : 0\n", - "Score échantillon de test : 0.932\n", - "Score données apprentissage : 0.92575\n" + "Classe image 4 : 7\n", + "Classe prédite image 4 : 3\n", + "Score échantillon de test : 0.907\n", + "Score données apprentissage : 0.93375\n" ] } ], @@ -123,9 +52,9 @@ "rand_indexes = np.random.randint(70000, size=5000)\n", "### Load data with the previous vector\n", "data = mnist.data[rand_indexes]\n", - "print(\"Dataset : \", data)\n", + "# print(\"Dataset : \", data)\n", "target = mnist.target[rand_indexes]\n", - "print(\"Etiquettes : \", target)\n", + "# print(\"Etiquettes : \", target)\n", "\n", "### Split the dataset for training and testing\n", "# xtrain data set d'entraînement et ytrain étiquettes de xtrain\n", @@ -139,10 +68,10 @@ "clf.fit(xtrain, ytrain)\n", "# Predicting with xtest\n", "pred = clf.predict(xtest)\n", - "print(\"Prédiction : \", pred)\n", + "# print(\"Prédiction : \", pred)\n", "# Predicting probabilities with xtest\n", "pred_proba = clf.predict_proba(xtest)\n", - "print(\"Probabilités : \", pred_proba)\n", + "# print(\"Probabilités : \", pred_proba)\n", "# Computing the score with xtest,ytest\n", "score = clf.score(xtest, ytest)\n", "print(\"Classe image 4 : \", target[3])\n", @@ -154,7 +83,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 18, "id": "90db6e29", "metadata": {}, "outputs": [ @@ -162,34 +91,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "Computing for k = 2\n", - "Computing for k = 3\n", - "Computing for k = 4\n", - "Computing for k = 5\n", - "Computing for k = 6\n", - "Computing for k = 7\n", - "Computing for k = 8\n", - "Computing for k = 9\n", - "Computing for k = 10\n", - "Computing for k = 11\n", - "Computing for k = 12\n", - "Computing for k = 13\n", - "Computing for k = 14\n", - "Computing for k = 15\n", - "2 : 0.9186000000000001\n", - "3 : 0.9294\n", - "4 : 0.9268000000000001\n", - "5 : 0.926\n", - "6 : 0.925\n", - "7 : 0.9236\n", - "8 : 0.9244\n", - "9 : 0.9232\n", - "10 : 0.922\n", - "11 : 0.921\n", - "12 : 0.9198000000000001\n", - "13 : 0.9194\n", - "14 : 0.9176000000000001\n", - "15 : 0.919\n" + "Computing for k = 2 ...\n", + "Computing for k = 3 ...\n", + "Computing for k = 4 ...\n", + "Computing for k = 5 ...\n", + "Computing for k = 6 ...\n", + "Computing for k = 7 ...\n", + "Computing for k = 8 ...\n", + "Computing for k = 9 ...\n", + "Computing for k = 10 ...\n", + "Computing for k = 11 ...\n", + "Computing for k = 12 ...\n", + "Computing for k = 13 ...\n", + "Computing for k = 14 ...\n", + "Computing for k = 15 ...\n", + "Done\n" ] } ], @@ -210,58 +126,64 @@ "# Initialisation des métriques\n", "all_scores = []\n", "k_scores = []\n", - "all_times = []\n", - "k_times = []\n", + "all_training_times = []\n", + "k_training_times = []\n", + "all_predicting_times = []\n", + "k_prediction_times = []\n", "\n", "# Fais varier le nombre de voisins de 2 à 15\n", "for k in range(2,16):\n", - " print(\"Computing for k =\", k)\n", + " print(\"Computing for k =\", k, \"...\")\n", " k_scores = []\n", - " k_times = []\n", + " k_training_times = []\n", + " k_prediction_times = []\n", " # Boucle sur chaque paire de jeu de données entraînement/test\n", " for train_index, test_index in kf.split(data):\n", " X_train, X_test = data[train_index], data[test_index]\n", " y_train, y_test = target[train_index], target[test_index]\n", " \n", - " t1 = round(time.time(),3)\n", + " t1 = round(time.time(),5)\n", " clf = neighbors.KNeighborsClassifier(k)\n", " # On entraîne l'algorithme sur xtrain et ytrain\n", " clf.fit(X_train, y_train)\n", - " t2 = round(time.time(),3)\n", + " t2 = round(time.time(),5)\n", " # On prédit sur xtest\n", " pred = clf.predict(X_test)\n", + " t3 = round(time.time(),5)\n", " # Probabilités des prédictions sur xtest\n", " pred_proba = clf.predict_proba(X_test)\n", " # On calcule le score obtenu sur xtest avec les étiquettes ytest\n", " # et l'ajoute à la liste des scores\n", " k_scores.append(clf.score(X_test, y_test))\n", - " k_times.append(t2-t1)\n", + " k_training_times.append(t2-t1)\n", + " k_prediction_times.append(t3-t2)\n", " all_scores.append(k_scores)\n", - " all_times.append(k_times)\n", + " all_training_times.append(k_training_times)\n", + " all_predicting_times.append(k_prediction_times)\n", "print(\"Done\")" ] }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 23, "id": "79d055d6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Text(108.0, 0.5, 'Times')" + "Text(108.0, 0.5, 'Predicting times (in ms)')" ] }, - "execution_count": 72, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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Adu3asXjxYt0k5Wfr12e+fMcOuOiig+9PPvlgwqFatcxfh26iCwv9/oiIiIhIkHIzyTAdGGNm7YH/mNlrzrnrzawdcBlQChhgZk3xvRs+MLNnnXP9QttfDXQBMLN6wH2h5XPSJxikcGnRogVr1qxh7dq1VK1alWnTpvHGG2+kabNz505KlixJiRIlGD9+PK1btyYqKgrnHD179iQmJoZ+/fql2ebKK6/k008/5dxzz2X16tXs27eP8uXL07ZtW5588kl2795NiRIl+Pzzz7n77rvz8pQlu3bsgIcf9kMkMlOlCkydCgkJ/rFhw8HXS5bAli0Zt4mKOnwi4uSTc/W0cpJ+f0REREQkSLmWZHDO/QXcFLZoSmj5R8BHYct/xfd4SL/9FWGvVwE9cidSyW8iIyMZM2YMbdu2JTk5mR49ehAbG8vYsWMB6N27NytWrKB79+4UK1aMBg0aMGHCBAC+/PJLXnvtNRo1akRcXBzgK+m3a9eOHj160KNHDxo2bEiJEiWYNGkSZkaZMmXo168fLVq0wMxo164d7du3D+r0JTNJSfDSSz7BsHMnXHghzJsHf/99sE3JkvDkk9C6ddb72bcPNm1Km3wIf710qU9EpE9inHRS9hIR6YYlBEG/PyIiIiISJMts/G5B17x5c7dw4cKgwxCRnPDpp77WwrJlcP75MHIkNGrkizwOGuSHTlSvDkOGQLduh93dYe3bB5s3Z56ISHn+9deMiYhSpQ6dhKhWLd8kIkREREREjoWZLXLONc90nZIMIpIvxcdD//4wfbqfovKZZ6BDh/xxk75/v+8RkVlviJTXmzdnTESceOLhExGlS+ePcxQRERERycKhkgy5WZNB5Ojk1jfUUjD89RcMHw5PPQXFisHjj0O/fnDCCUFHdlDx4lCjhn9kZf9+n2jIKhExa5ZffyBdiZmSJQ+fiChTJutEhH5/RERERCRASjJI/jJlCvTqdXB6wnXr/HvQjVJh5xxMmwb33utvxK+9Fp54wt9YF0TFi/ub/ENNqZuUdOhExOzZvsdE+kTECSdknnz46Sd4/nnYs8e30++PiIiIiOQxDZeQ/KVmTX9jlF6NGr77vBROixfDnXfCl19Cs2bw3HNw5plBR5U/JCX5GhCHGpqxaRMkJ2e9j1NO8b9XJUrkXdwiIiIiUmhpuIQUHOvXZ7583Tpf9b9SpbyNR3LX1q2+a/+ECVC+PLz8Mtx0kx8mIV5k5MHeCllJTvaJiGrVMp/e89dffdHJ006DVq3844wz/JSfIiIiIiI5KCLoAETSqFAh63U1asBtt8HatXkXj+SO/fthxAg49VR49VW4+25YswZuvlkJhqNRrBhUrZr10Izy5eHWW/2wi+eeg06dfPsaNaBLFz9jx7ff+pk1RERERESOgZIMkn/8+qsfS56+oF3JkvD009C9u//Gu25dP778hx+CiVOOzcyZ0LixL+bYqpX/HJ95xn/TLsdmyBD/+xKuZEmfRHj2WfjqK/jjD/j6a5/kOeMMv+zuu/3rqCg/TKV/f3jnHdi4MZDTyG0zZ86kXr161KlTh+HDh2dYn5iYSIcOHWjcuDEtW7Zk2bJlAGzYsIHzzjuPmJgYYmNjGTVqVOo2gwcPpmrVqsTFxREXF8dHH32UZ+cjIiIikp+oJoPkD8nJcNFF/ubnkUfgxRczr46/aZO/ORo7FnbtgvbtYeBAOOusYOOXw1uzxicWPvgA6tTxn2P79pquMacdzewSGzfCN9/4379vvoGFC2HvXr8uOjrtEItmzeC443L/PHJJcnIyp556KrNmzSI6OpoWLVowdepUGjRokNpmwIABlCpVikceeYSVK1fSp08fZs+ezebNm9m8eTPNmjXjzz//5LTTTuO9996jQYMGDB48mFKlSnHPPfcEeHYiIiIieUM1GST/+9e/4NNP4ZVX/Jj8++7LvF2VKn5qwwce8FX0R42Cs8/2SYaBA6FdO9205jd//OFvdEeM8DenTzwBffsW6BvVfK1btyOfSaJqVT+EolMn/37fPliy5GDS4euv4e23/boSJXyi4YwzDiYfoqMLzO/d/PnzqVOnDrVr1wagS5cuzJgxI02SYfny5dx///0A1K9fn/j4eLZs2ULlypWpXLkyACeddBIxMTFs3LgxzbYiIiIiRZ2GS0jwZs+Gxx7zwyFuvDF725QpAw8+6AtCPvec/9b20kuhSRN44w1fkV+CdeCAr7dQrx48+aS/8V2zxk9RqQRD/laiBLRs6ZNBU6f6mV02bYLp0/2yyEjfm6hzZ99bIjoarrrKD3v58suDU2jmQxs3bqRatWqp76Ojo9mYblhIkyZNmD59OuCTEuvWrSMhISFNm/j4eL777jtOP/301GVjxoyhcePG9OjRg8TExFw8CxEREZH8S0kGCdbmzXDttRATAy+8cOTfhpYsCXfcAT/9BJMm+WEX3br5goIvvpivb3YKtW+/9d9w33STLy747bcwcaKfSlEKpsqVoUMHnzCaO9f3UFmwwCf5zj3XT0N6zz2+V1FUFJx+uk9ITJvmk4H5ZGheZkMELd2/OwMHDiQxMZG4uDhGjx5N06ZNiYw82PFv165ddOrUiZEjRxIVFQXArbfeys8//8ySJUuoXLky/fv3z90TEREREcmnVJNBgpOUBBdeCPPn+5uVnOhyfOAA/Oc/MGyYv7GtVAnuustX1ldhwdy3ebMftjJ5sr8pfeIJn/SJUD6zSPj1Vz+8ImWIxYIF8Pfffl3lymmHWJx2GpxwQp6H+PXXXzN48GD++9//AjBs2DCA1OER6TnnqFWrFkuXLiUqKor9+/dz6aWX0rZtW/r165fpNvHx8Vx66aWpBSNFRERECptD1WTQX/4SnMcegzlzfA+GnBrTHBEBV1zhb3A++wzi4uD++32X7vvv9zdBkvP27oXhw30PkmnTfKJh1Sq4/nolGIqSU06BK6/0Pwuffw6//w6LFsGYMXD++fD99364zNln+94OLVrAnXf6IU5r1+ZJb4cWLVqwZs0a1q5dy759+5g2bRqXX355mjY7d+5kX2g6z/Hjx9O6dWuioqJwztGzZ09iYmIyJBg2b96c+vrdd9+lYcOGuX4uIiIiIvmRejJIMD75BC6+2NdgeOWV3D3W4sX+G/W33/ZjzXv08N26Q4Xf5Bg453uO9OsHP//sEzxPP+1njxDJzNataWeymD8fdu/26ypVStvboXnzjFNy5oCPPvqIu+66i+TkZHr06MGgQYMYO3YsAL179+brr7+me/fuFCtWjAYNGjBhwgTKlCnDvHnzOPvss2nUqBERoeTZ0KFDadeuHddffz1LlizBzKhZsyYvvfRSapFIERERkcLmUD0ZlGSQvLdpk+9hULGiv8HIhZuITK1Z42emmDTJD9Xo0sXPYtG4cd4cv7BZscIPRfnkE19TY9QoP/xF5EgkJcEPPxxMPHz9ta+xAlCsmC/mmjJ9ZqtWPjlYQGayEBERESmslGSQ/CMpCdq08V2oFyzwN6d5bdMmP53i2LGwaxe0b++79591Vt7HUhDt3AmDB/su8KVKwaOPwm23QfHiQUcmhcW2bb6mSkrSYf58+Osvv65ChbS9HVq0gBNPDDZeERERkSJGSQbJPwYNgqFD4bXX4Lrrgo0lMRGef95/A799O5x5pq/b0K6dvinNTHIyTJjgP8MdO6BXL/jXv/xNn0huSk6GZcsODrH4+mtYvdqvK1YMGjVK29uhTp20v8NTpvif2/XrfX2WIUN8QVIREREROSqBJBnM7ETgBWAfMMc5NyW0vDPQHtgPPA0cAO4Djge+d849YWaDgRggEXjMObfJzIYDJYHdzrmBhzq2kgz51MyZcMklcPPN8PLLQUdz0O7d/ub56af9TUijRr5nwzXXQNi0dUXa3Ll+OsLvvvNF+557zg95EQnKjh1pezt8+63vmQRQrtzBhMNff8HIkQdnuQA/RGvcOCUaRERERI5SUEmG64Gdzrn/mNmbzrnOoeVvAd2AMsBQ59zNYdtMd851NLMHgXrATnwCojzQ1znX38yeAp5zzm3I6thKMuRDCQnQtKmfxu7bbwOZuu6w9u+HqVN9kcjly6FWLRgwwBenzI/x5oUNG/xsANOmQbVqvqbFNdeop4fkP8nJ/vc2JenwzTewcmXW7WvUgPj4PAtPREREpDAJagrLaCAlEZActvxpYDRwGz7RAICZdQE+Cb0d6py7HpgF3AxUDdvX+tC+0zCzXma20MwWbtu2LSfPQ45VUhJ07Qp79vgZHvLrDXvx4tC9uy9C9957vjDlbbf5ZMPw4X46vqLi77/9FKP16vlr8fDD/oatc2clGCR/Shk20asXTJzoC5Pu2JH1z+v69Xkbn4iIiEgRkZtJhgQOJgNSj+Ocm++c6w28TihxEEow1HDOjQ21ORBqvhUoBWwM21e10L7TcM6Nc841d841r6Ax4vnLgw/CvHm+e3K9ekFHc3gREX4qxq+/hs8+88MC7r/fj+W+/3749degI8w9zsE77/iCnI88Apde6pMLjz6ad7OAiOSUsmX9721mslouIiIiIsckN5MM04FOZvYi8B8zew3AzNqFlj0CDDezpvjeDbXM7NlQmwdCbfoDE51z64H9ofXJhxoqIfnMRx/54Qe9evneDAWJGZx7rq8lsWgRXHyxP5eaNX0Ph19+CTrCnLV0KZx/Plx9NZx8sk+wvPWW71YuUlANGZJ5gqxt27yPRURERKQI0OwSkns2bPC9AKpV870C8uswiSOxZo2vSzBpkh8G0qUL3HcfNG4cdGRHb8cOeOgheOklKF0aHn8cbrlFRS+l8AifXSI62ifRli3z09j+859BRyciIiJS4ARVk0GKsv37/fj9ffvydx2GI1W3rh/2sXYt9OsH778PTZr4YQXz5gUd3ZFJSoIxYw6eU58+Poly661KMEjh0q2bL/J44IBPNCxYAO3bQ+/efgpbEREREckxSjJI7hg0yPdeGD/e38QWNlWq+B4N69fDv/7lZ8w4+2w46yz48ENf2yCHzZw5k3r16lGnTh2GDx+eYX1iYiIdOnSgcePGtGzZkmXLlgGwYcMGzjvvPGJiYoiNjWXUqFEwezbExfHQHXfQeP9+4urU4aKVK9m0Zw8As2bN4rTTTqNRo0acdtppfPrppzl+PiKBOf54mD4dOnSAu+6CJ58MOiIRERGRQkPDJSTnffABXHaZ/0b8hReCjiZv7N4NEybA00/7xEOjRjBwoJ/uMQd6BSQnJ3Pqqacya9YsoqOjadGiBVOnTqVBgwapbQYMGECpUqV45JFHWLlyJX369GH27Nls3ryZzZs306xZM/784QdOa9WK9/76iwa1avHH448T1bUrmPHcc8+xfPlyxo4dy3fffUelSpWoUqUKy5Yto23btmzcuPGYz0MkX9m/388oM22aL2760EOaPUVEREQkGzRcQvLOunX+j/amTeHZZ4OOJu+ULAl33AE//eTrNSQn+y7ap54KL77op4Q8BvPnz6dOnTrUrl2bEiVK0KVLF2bMmJGmzfLly2nTpg0A9evXJz4+ni1btlC5cmWanXoqPPggJ7VoQcyePWy86SZYvpyoa69Nvan666+/sNDrpk2bUqVKFQBiY2PZs2cPe/fuPaZzEMl3iheH11+HG27ws6kMGpQrvZBEREREihIlGSTn7Nvn6zAkJflZCY4/PuiI8l7x4j7J8sMP8N57ULGin4miVi0YPhx+//2odrtx40aqVauW+j46OjpDz4ImTZowffp0wCcl1q1bR8KGDb7oXf36MGQI8RdfzHeVKnH6yJGpn8+gQYOoVq0aU6ZM4bHHHstw7H//+980bdqU44477qhiF8nXihWDV17xM+AMGwb9+yvRICIiInIMlGSQnHP//b42wSuvQJ06QUcTrIgIuOIKX5fis8/8LBv33w/Vq/vnX389ot1lNqzJ0nXrHjhwIImJicTFxTF69Gia1qtH5M03w3XXwSmnsGvWLDpt2MDI0aOJiopK3W7IkCFs2LCBbt26MWbMmDT7/PHHH7nvvvt46aWXjihekQIlIsLPNHHnnTBihC+CeuBA0FGJiIiIFEhKMkjOmDHDD4+4/Xa46qqgo8k/zODcc2HmTFi0CC6+GJ54AmrW9D0cfvklW7uJjo5mw4YNqe8TEhJShzOkiIqKYuLEiSz55BMmlyjBtuXLqbVxI0yYwP4vv6TTU0/RrVs3OnbsmOkxrr32Wv7973+nOUaHDh2YPHky//jHP4741EUKFDMYORIGDPBDnG65xQ97EhEREZEjoiSDHLv4eLjxRjjtNF/4UDLXrBm8+SasWuWHVEyY4Gfe6NYNli495KYtWrRgzZo1rF27ln379jFt2jQuv/zyNG12bt3KvieegLp1Gf/qq7Ru0ICon37C3XQTPW+5hZiYGPr165dmmzVr1qS+fv/996lfv77f186dtG/fnmHDhnHmmWfm0AUQyefMfBLw4Yd9j6wbbvDDv0REREQk2zS7hBybffv81I2rVsHixVC7dtARFRybNvmu2WPHwq5d0L69n5HirLMybf7RRx9x1113kZycTI8ePRg0aBBjx44FoHeNGnzduzfd16+n2Ikn0uD//o8Jb75JmTJlmDdvHmeffTaNGjUiIsLnFYcOHUq7du3o1KkTq1atIiIigho1ajB27FiqVq3K448/zrBhw6gbNv3oJ598QsWKFXP/uojkB0OH+kKQV10Fb7zh662IiIiICHDo2SWUZJBjc9ddMGoU/PvfkEU3fDmMxER4/nl/HbdvhzPP9HUb2rU7/HR6a9bA3XfDhx/6XhEjR/rtROTYPfusLwR5+eW+mK2Kn4qIiIgAmsJScsu77/ob4zvvVILhWJQpAw8+6Kf/fO452LABLr0UmjTx36AmJfkZImrW9AXqataE8ePh3nshNha++AKeegqWLVOCQSQn9esHY8bA++/DlVce81S0IiIiIkWBejLI0fnlF19j4NRTYd48KFEi6IgKj/37YepUPzZ8+XIoXx7++MMPTUnvppt8t+5TTsn7OEWKigkTfCHI887zCYcTTww6IhEREZFAqSeD5Ky9e+Gaa3xX/jffVIIhpxUv7gtD/vADvPde1gmGU07xxemUYBDJXT17wuTJMGeOnyHmjz+CjkhEREQk31KSQY7cgAF+OsaJE6FWraCjKbwiIuCKK3zPhsxs2ZK38YgUZdddB9OmwTffwIUX+loqIiIiIpKBkgxyZN55B0aP9sUGr7wy6GiKhurVj2y5iOSOq6/2/wZ+9x20aQM7dgQdkYiIiEi+oySDZN/PP/tuwy1bwvDhQUdTdAwZAiVLpl1WsqRfLiJ564orYMYMWLECzj1XPYpERERE0lGSQbJnzx7/LV6xYn4qN9VhyDvdusG4cVCjhq+DUaOGf9+tW9CRiRRNl1wCH3zgC+Cecw5s3Bh0RJJDZs6cSb169ahTpw7DM0mmJyYm0qFDBxo3bkzLli1ZtmwZABs2bOC8884jJiaG2NhYRo0albrN22+/TWxsLBEREaQvSr106VJatWpFbGwsjRo1Ys+ePbl7giIiInlASQbJnv79fRfhSZP8Ta7krW7dID4eDhzwz0owiASrTRuYOdMnGM45B9avDzoiOUbJycn06dOHjz/+mOXLlzN16lSWL1+eps3QoUOJi4tj6dKlTJ48mb59+wIQGRnJM888w4oVK/jmm294/vnnU7dt2LAh06dPp3Xr1mn2lZSUxHXXXcfYsWP58ccfmTNnDsWLF8+bkxUREclFuZZkMLMTzWySmb1sZt3Clnc2s8lmNsHMYsysnpm9YmZvmNl9oTYDQ9v9x8yiQ8t+NrOxZtYrt2KWLLz5Jrzwgk80XHZZ0NGIiOQPZ58Ns2bB9u3QurXv2SAF1vz586lTpw61a9emRIkSdOnShRkzZqRps3z5ctq0aQNA/fr1iY+PZ8uWLVSuXJlmzZoBcNJJJxETE8PGUA+XmJgY6tWrl+F4n3zyCY0bN6ZJkyYAlCtXjmLFiuXmKYqIiOSJ3OzJ0BF4xzl3C3B52PJOQE/gfqC/c26Vc66Hc+5a4HQA59zw0HavAOeFttsFnABsyMWYJb01a/z88K1awbBhQUcjIpK/nHEGfPop/PmnTzSsWhV0RHKUNm7cSLVq1VLfR0dHpyYKUjRp0oTp06cDPimxbt06EhIS0rSJj4/nu+++4/TTTz/k8VavXo2Z0bZtW5o1a8aTTz6ZQ2ciIiISrNxMMkRzMCGQHLb8aWA0cBtQJmWhmXUBPgl7Xwq4BngvtKgp0APom9nBzKyXmS00s4Xbtm3LoVMo4vbsgWuugeLF/dRt6sYpIpJRs2YwZw7s2+eHTvz4Y9ARyVFwzmVYZmZp3g8cOJDExETi4uIYPXo0TZs2JTIyMnX9rl276NSpEyNHjiQqKuqQx0tKSmLevHlMmTKFefPm8e677zJ79uycORkREZEA5WaSIQGfaEhzHOfcfOdcb+B1QkmIUIKhhnNubOh9FPAicK9z7s/Qdgecc8nAHjPLELdzbpxzrrlzrnmFChVy8bSKkLvugiVLYPJkTZcoInIojRrB559DRISfdWLJkqAjkiMUHR3Nhg0HO0smJCRQpUqVNG2ioqKYOHEiS5YsYfLkyWzbto1atWoBsH//fjp16kS3bt3o2LFjto53zjnnUL58eUqWLEm7du1YvHhxzp6UiIhIAHIzyTAd6GRmLwL/MbPXAMysXWjZI8BwM2uK791Qy8yeDW37KlAaGGRm54fVbXgFmOOcO5CLcQvA1Knw0ktw773Qvn3Q0YiI5H8xMfDFF3DCCXD++bBgQdARyRFo0aIFa9asYe3atezbt49p06Zx+eWXp2mzc+dO9u3bB8D48eNp3bo1UVFROOfo2bMnMTEx9OvXL1vHa9u2LUuXLmX37t0kJSXx+eef06BBgxw/LxERkbxmmXUPLOiaN2/u0k8TJUdg1Spo3hyaNIHPPtMwCRGRIxEf75MMO3bARx/BmWcGHZFk00cffcRdd91FcnIyPXr0YNCgQYwdOxaA3r178/XXX9O9e3eKFStGgwYNmDBhAmXKlGHevHmcffbZNGrUiIgI//3N0KFDadeuHe+++y533HEH27Zto3Tp0sTFxfHf//4XgNdff51hw4ZhZrRr1051GUREpMAws0XOueaZrlOSQdL4+29fyGzjRt/dNzr6sJuIiEg6CQk+0bBpE3zwgR9CISIiIlJIHCrJkJvDJaQg6tsXli6F115TgkFE5GhFR/saDTVqwCWXwCefHH4bERERkUJASQY5aMoUePlluP9+/0exiIgcvcqV/awT9erBZZf5Hg2Sf02ZAjVr+uKdNWv69yIiInLElGQQb+VK+Oc/4eyz4bHHgo5GRKRwqFABPv0UGjeGjh1h+vSgI5LMTJkCvXrBunXgnH/u1UuJBhERkaOgJIPA7t1w9dVQsqSfVSJszm8RETlGZcvC//7nC+pec43/d1byl4ED/f+F4XbvhkGDgolHRESkAFOSQeCOO+DHH+H116Fq1aCjEREpfE4+Gf77XzjrLOjWDV59NeiIBGDbNp9gSEjIfP26dZCcnLcxiYiIFHBKMhR1kyfDK6/AAw/ARRcFHY2ISOF10kl+SssLLoCbboJx44KOqOjatg3uuw9q1YInn/Q9+bISFwczZ/phFCIiInJYSjIUZcuXw623wjnnwODBQUcjIlL4lSwJ778P7dv7OjjPPRd0REXL1q1w772+sOPTT8OVV/r/C8eNy5hoKFkS7rzTT+18ySXQti18/30QUYuIiBQoSjIUVX/95eswlCqlOgwiInnp+ON9AcgOHfy0wU8+GXREhd/WrTBggO+58Mwzvgjn8uV+mGD9+n4Iy7hxfspRM/88bhyMGuXbjRwJixZB06a+F0pWwytEREQEc4Ww+1/z5s3dwoULgw4jf7vpJpg0yc/dfsEFQUcjIlL07N8P3bvDtGnw6KPw0EP+BldyzpYt8NRT8MILsHevTyY8+CCceuqR72vnThg61CceihWD/v19r4iTTsrxsEVERPI7M1vknGue2Tr1ZCiKXn3VPx56SAkGEZGgFC/uv0m/4QZ45BF/81sIE/+B+PVXnwSoVQtGjPA991as8HWIjibBAFC6tO91smqVH2bx+ONQpw6MHQtJSTkZvYiISIGmJENRs2wZ3HYbnHcePPxw0NGIiBRtxYr54ru33OK/Jb/nHiUajsWvv0K/flC7th/icPXVsHKl77l3tMmF9GrWhDfegPnz/VCLW2+Fxo3hgw/02YmIiKAkQ9Gya5f/gysqyv+BVKxY0BGJiEhEBLz0kp9O+Nln4fbb4cCBoKMqWDZvhrvv9j0XnnsOrrnmYHKhbt3cOWaLFjBnDrz3np/m8rLL4Pzzfe0GERGRIkxJhqLCOd+DYfVqn2A45ZSgIxIRkRRmfqz/gAG+fkCvXv7GVQ5t82a46y7fc2H0aOjSxScXXn0195IL4czgiit8L8Hnn/fPzZvD9dfD+vW5f3wREZF8SEmGouKVV+C11/y43/PPDzoaERFJzwyeeMLXy5kwAW68UWP9sxKeXBgzBrp29bUSJk70dRLyWvHiPpH/009w//3wzjt+eMbAgfD773kfj4iISICUZCgKfvjBd7+94AIYNCjoaEREJCtm8Nhjvqjg66/Dtdf6WSjE27TJT/tZq5ZPLlx7re+h98or8I9/BB0dnHyyr62xejV07uwLRdap43tZ6HMUEZEiQkmGwu7PP30dhtKl/R+sqsMgIpL/DRoEzzwDb7/t/w3fuzfoiIK1cSPceafvufDCC3Dddf5GfsIEvyy/qVbN14NYuNAXhbzzToiNhXffVXFIEREp9JRkKMycg969Yc0amDoVKlUKOiIREcmufv38t/UzZvgpE//+O+iI8t7Gjb4g5j/+AS++6GsdrF4N48fnz+RCes2awf/+Bx9+6IdUdOwIrVvDt98GHZmIiEiuybUkg5mdaGaTzOxlM+sWtryzmU02swlmFmNm9czsFTN7w8zuC7VpaGZTQo+GoWXDzew5MxueWzEXOuPH+yKPjz4K554bdDQiInKk+vSBl1+G//4XLr0U/vor6IjyRkKCH+ZXuzaMHQvdu/uE+csv+6ESBYkZtGsH33/vZxFZswbOOMMXqVy7NujoREREcly2kwxmdoKZ1TuCfXcE3nHO3QJcHra8E9ATuB/o75xb5Zzr4Zy7Fjg91KYv0Ae4DbjDzKoDxZ1zdwLFzKzaEcRRNH3/vf/256KL4IEHgo5GRESO1s03+673c+bAxRfDH38EHVHu2bDBJ1b+8Q9/Q37jjf6mfNw4qFkz6OiOTWSknzVkzRp4+GF4/32oXx/694fffgs6OhERkRyTrSSDmV0GLAFmht7Hmdn7h9ksGtgQeh0+D9fTwGh8AqFM2DG6AJ+E3p7snNvpnPsdOAmoGrav9aF9p4+xl5ktNLOF27Zty85pFV5//OHH8JYr52eUiNCoGBGRAu366/2wt2++8cnjnTuDjihnbdjgZ2eoU8f3VkhJLrz0UsFPLqR30km+h+GaNb62xIgR/rxHjFDtDRERKRSye/c5GGgJ7ARwzi0Bah5mmwQOJgNSj+Ocm++c6w28TihxEEow1HDOjQ01+93MTjazKOBPYGPYvqqF9p2Gc26cc665c655hQoVsnlahZBz/puSn3/2f5BWrBh0RCIikhOuucZPjbh4sZ+KeMeOoCM6duvXw623+p4L48fDTTcV3uRCelWr+sKVS5ZAy5a+BkeDBr7Yp4pDiohIAZbdJENSqFfBkZgOdDKzF4H/mNlrAGbWLrTsEWC4mTXF926oZWbPhrYdBTwHjAFGO+fWA/tD65OdcxvSH0xCXnoJ3nzTT3/WunXQ0YiISE664gpfCHL5cjjvPNiyJeiIjs66db4wcZ06/ka7Z0/46Sdff6FGjaCjy1uNG8PMmb7uRqlSPpn0f/8HX34ZdGQiIiJHxVw2suVmNgGYDQzE11S4E18joXfuhnd0mjdv7hYuXBh0GHnvu++gVSv/h+eHH2qYhIhIYTV7Nlx2mb8hnz0bqlQJOqLsWbcOhg2DV17xBRF79oSBA6F69aAjyx+Sk2HyZHjwQdi0CTp1guHDfTJGREQkHzGzRc655pmty+5d6B1ALLAXeAP4HbgrR6KTnJFSh6F8edVhEBEp7Nq08d98JyT4Xmvr1wcd0aGtWwf//CfUrQsTJ8Itt/ieCy+8oARDuGLF/JCR1avhscd8D4eYGOjbF7ZvDzo6ERGRbDnsnaiZFQPed84Ncs61CD0edM7tyYP4JDuc89XH4+Nh2jSfaBARkcLt7LNh1ix/89m6NfzyS9ARZRQf7+sE1akDr756sGbQ889DNU0UlaUTT4SHHvKJmJ49YcwYfw2fegr26M8vERHJ3w6bZHDOJQO7zezkPIhHjsYLL/hCUUOGwFlnBR2NiIjklTPO8MMl/vzTJxpWrz6q3cycOZN69epRp04dhg8fnmF9YmIiHTp0oHHjxrRs2ZJly5alruvRowcVK1akYcOGBzdYu5YlHTtyRq1axI0fT/MyZZj/zjv+Zjk6wwRRkpVTTvF1Kn74wf//fu+9ftrLN96AAweCjk5ERCRT2e1Tvwf4wcwmmNlzKY/cDEyyadEiX5G6XTsYMCDoaEREJK+ddhp89hns2+cTDT/+eESbJycn06dPHz7++GOWL1/O1KlTWb58eZo2Q4cOJS4ujqVLlzJ58mT69u2buu7GG29k5syZ/s3atb5n3amncu977/HIZZexZMMGHnv1Ve595pljPtUiq0ED+OADn1AqWxa6dYPTT4fPPw86MhERkQyym2T4EHgI+AJYFPaQIP3+u69CXbGiLxSlOgwiIkVT48b+hjMiAs4910+LmE3z58+nTp061K5dmxIlStClSxdmzJiRps3y5ctp06YNAPXr1yc+Pp4toZktWrduTdldu2DjRjj1VHj9dbjtNqx1a/7o1g2qVuX333+nSkEpTpmfnX8+LFzo/8//9Vf/WV9xBaxcGXRkIiIiqbJ1V+qcmwRM5WBy4Y3QMgmKc9Cjhy/29eabUK5c0BGJiEiQYmLgiy/ghBP8zeiCBdnabOPGjVQLq48QHR3Nxo0b07Rp0qQJ06dPB3xSYt26dSQkJPj6Cj16+FmNfv8dbrvN14YYNYqRL77IgAEDqFatGvfccw/Dhg3LuXMtyiIi4Prr/dCYYcN8L5aGDf2137o16OhERESyl2Qws3OBNcDzwAvAajNrnXthyWGNGQPTp/s/MP7v/4KORkRE8oM6dXyioXRpuOAC+Oqrw26S2VTWZpbm/cCBA0lMTCQuLo7Ro0fTtEEDIh97DOrVg6lT4YYbfC+GUaNSp9N88cUXGTFiBBs2bGDEiBH07NkzR05RQk44wU//+dNP0Ls3jBvnP/+hQ2H37hw7TI7X6wA6d+5MXFwccXFx1KxZk7i4uNR1S5cupVWrVsTGxtKoUSP2qNCliEiBk93+9c8AFznnznHOtQbaAiNyLyw5pAULoH9/P0d6//5BRyMiIvlJzZp+6ESlSnDRRYcdtx8dHc2GDRtS3yckJGQY2hAVFcXEiRNZ8s47TI6IYNsPP1Drv/+FO+7wPRcefhgiI9NsM2nSJDp27AjA1Vdfzfz583Pm/CStihX9Fw8//uinNh00yCd8Jk065uKQOVqvI8ybb77JkiVLWLJkCZ06dUr9OUlKSuK6665j7Nix/Pjjj8yZM4fixYsf0zmIiEjey26SobhzblXKG+fcakD/6gchMdHXYahc2U8Hlu7bJhEREapV88mFGjXgkkv8VJdZaNGiBWvWrGHt2rXs27ePadOmcfnll6dps3PxYvZdfz3Ur8/4qVNpHRNDVHw8jBjh/z/KRJUqVfg8lOD49NNPqVu3bo6dnmSiXj14913/uVepAjfe6IuCzp591LvMkXodZctmuX/nHG+99RZdu3YF4JNPPqFx48Y0adIEgHLlylGsWLGjjl9ERIKR3STDwtDMEueGHi+jwo95L6UOQ0KCr8NwiP+4RUSkiKtcGebM8d9qX3aZn50gE5GRkYwZM4a2bdsSExPDNddcQ2xsLGPHjmXsY4/BDTewonlzYqdMoX5UFB9fcAGjvvzST68IdO3alVatWrFq1Sqio6OZMGECAC+//DL9+/enSZMmPPDAA4wbNy6vzrxoa90avvnGD2NJTPTDZtq1g7BhDNl1TPU6smHu3LlUqlQpNQG1evVqzIy2bdvSrFkznnzyySOOWUREghd5+CYA3Ar0Ae4EDD/LxAu5FZRkYdQoeO89ePZZPze6iIjIoVSoAJ9+6odNdOwI06b553TatWtHu3btDi5YvZreX30FU6bAccfRql8/1gwY4IdgpDN16tRMD33WWWexaJG+jwhERAR06QJXXumHUgwZAk2aQM+e8OijWfY+SS+79Tr69u1LXFwcjRo1omnTpkRGZu/Py6lTp6b2YgA/XGLevHksWLCAkiVL0qZNG0477bTUnhIiIlIwZLcnQyQwyjnX0TnXAXgOUP+1vPTttzBggJ+q6q67go5GREQKirJlfZf55s39cLtp07Juu2qVn7kgJgbeeQf69YO1a+HppzNNMEg+d/zxcM89vjjknXf6YZZ16/pEw19/HXbzI6rXsWQJkydPZtu2bdSqVeuw+05KSmL69Ol07tw5zfHOOeccypcvT8mSJWnXrh2LFy/O/vmKiEi+kN0kw2zghLD3JwD/y/lwJNMqzr/9Bp07Q3Q0iSNG0KFjxxyr4iwiIkXAySfDf/8LZ54J3brBP//pC0RGRPjnp56C666DBg38zEX9+0N8vF+u5ELBV66cr5+xfLmv0TF4sE82TJgAyclZbpateh07d7Jv3z4Axo8fT+vWrYmKijpsSP/73/+oX78+0dHRqcvatm3L0qVL2b17N0lJSXz++ec0aNDg6M45D+X1DBwiIvmec+6wD2BJdpbll8dpp53mCqKkpCRXu3Zt9/PPP7u9e/e6xo0bux+XLXPu8sudK17cuW+/dffcc48bPHiwc865FStWuPPPPz91+88//9wtWrTIxcbGZnmMfv36uUcffTTXz0VERPKhv/5yrmFD53yVn7SP4sWdu/de57ZsCTpKyW1ffulcq1b+c2/Y0LmPP3buwIFMm3744Yeubt26rnbt2u7xxx93zjn34osvuhdffNE559xXX33l6tSp4+rVq+c6dOjgfvvtt9Rtu3Tp4k455RQXGRnpqlat6saPH5+67oYbbkjdR7jXXnvNNWjQwMXGxroBAwbk5Fnnikz/dvvxxzRt9LebiBRGwEKXVf4gqxVpGsGXQLOw982Br7OzbRCPgppk+Oqrr9xFF12U+n7o0KFu6CWX+I9p5EjnnHPt2rVzc+fOTW1Tu3Zt9+uvv6a+X7t2bZb/UR04cMBFR0e71atX59IZiIhIvletWuZJhujooCOTvHTggHNvv+1c7dr+87/wQueWLAk6qgIn07/dhg5N00Z/u4lIYXSoJEN2h0vcBbxtZnPN7AtgGnB7jnapkIxVnP/+m40zZ/oiXXfeCeRsFWcRESmCsvo/I92sAVLImcFVV8GKFTByJCxaBE2bwk03Zf0zIhnk9QwcIiIFwSGTDGbWwsxOcc4tAOoDbwJJwExgbR7EV6S48CrOO3bA889jJ53kx0yGqjkPHDiQxMRE4uLiGD169DFVcRYRkSKoevUjWy6FW4kS0LevLw7Zvz+88Yaf9vShh/zfH+G1O6ZMCTrafCfN324hmc3Aob/dRKQoOdy/cC8BF4RetwIeAO4A4oBxwFW5FlkRlFrF+cABuOEGEn7/nSr//CeULp3aJqWKM/j/2GrVqnVEVZw1nZiISBE3ZAj06gW7dx9cVrKkXy5FV5kyvtDnbbfBoEHw+ONp169b539uwBcPFeDIZuAA/e0mIkXD4YZLFHPO/RZ63RkY55z7t3PuIaDOoTY0sxPNbJKZvWxm3cKWdzazyWY2wcxiQsteMrMfwtr0NLOxZvahmQ0LLfs5tKzX0ZxoQZBaxXnQIPZ9+CHTKlXi8ttuS9MmJ6s4i4hIEdStG4wbBzVq+F5yNWr497pxFIBatXxvhlNOybhu926faLjrLp+UevlleO89+PJLWL0adu70FT6KkLyegSM/y41ZNgBGjx5NvXr1iI2N5d57702zbv369ZQqVYqnn346509IRI7a4XoyFDOzSOdcEtAGCL/BP9y2HYF3nHP/MbM3gZQ+dp2AbkAZYChws3Pun2b2TsqGzrkJwAQzGwG8Glq8Cz915sF0cSETGRnJmNtuo+2AASSfeCI9br2V2NhYxo4dC0Dv3r1ZsWIF3bt3p1ixYjRo0IAJEyakbt+1a1fmzJnD9u3biY6O5tFHH6Vnz54ATJs2Td3tRETE69ZNSQU5tC1bMl++e7cfRrFrV+brixeH8uWhQgWoWNE/pzzC36e8Ll06dUhoQRQZGcmYMWNo27YtycnJ9OjRo0j+7ZacnEyfPn2YNWsW0dHRtGjRgssvvzzNFKRDhw4lLi6Od999l5UrV9KnTx9mz54NwI033sjtt99O9+7d0+z3s88+Y8aMGSxdupTjjjuOrVu3pll/9913c8kll+T+CYrIEbHMxpKlrjQbBLQDtgPV8TNMODOrA0xyzp15iG3vBz52zi0xszecc9eGlrcEegC/Ao2cc51Cy99xzl0Vtv3xwDTn3JWh9xGAAR865y7O5Hi9CCVBqlevftq6deuO4DLkE9u3Q1wcHH+8L8B08slBRyQiIiJFUc2afohEejVqQHw87NkD27bB1q3+OeWR1fs//8z8OJGRPilxqIRE+qRERHbrlkte+frrrxk8eDD//e9/ARg2bBgA999/f2qb9u3bc//993PWWWcB8I9//IOvvvqKSpUqARAfH8+ll16apofDNddcQ69evbjgggtI77333uPLL7/kxBNPpFSpUtxzzz25dn4ikpGZLXLONc9s3SF7IzjnhpjZbKAy8Ik7mJGIwNdmOJQEIBpYQtiwDOfcfGB+KFFxqBkqrgKmh213IHQye8wsIuV92Ppx+DoRNG/evOD11TtwALp39/8Rf/21EgwiIiISnMPV7jj+eKhWzT+yY88e/2XK4ZISCxb45z/+yHw/xYodWVKiTBklJfJAZrNsfPvtt2napMyycdZZZ6WZZSMlyZCZ1atXM3fuXAYNGsTxxx/P008/TYsWLfjrr7944oknmDVrloZKiORDhy1t65z7JpNlq7Ox7+nAGDNrD/zHzF5zzl1vZu2Ay4BSwAAAMxsCNDWzsUBf59xe4GqgS2h9PeC+0H7npE8wFGhTpvgCSynfFtx4IzRrFmhIIiIiUsSlDKcZNAjWr/ezjwwZcvTDbI4/HqKj/SM79u7NXlJi0SL//Pvvme8nJSmRnYREhQpQtuyhkxIpf7flxDUpRLI7y0bfvn2Ji4ujUaNG2ZplIykpicTERL755hsWLFjANddcwy+//MIjjzzC3XffTalSpXL0PEQkZ2Rv/pyj4Jz7C7gpbNGU0PKPgI/StR0EDEq37Iqw16vwQywKlylTMn5L8NZbcMEF+g9LREREghVk7Y7jjoOqVf0jO1KSEocbuvHdd/71zp2Z7yciIuukxNq1MHUqhIo4asaNg3Jrlo3o6Gg6duyImdGyZUsiIiLYvn073377Le+88w733nsvO3fuJCIiguOPP57bbz9UJ2kRySu5lmSQbBg0KG2CAfz7QYOK/H9WIiIiItl2pEmJffuyl5T4/nv/OjEx8/3s3u2Huw4dmr1il2XL+t4VhUz4LBtVq1Zl2rRpvPHGG2na7Ny5k5IlS1KiRIlsz7Jx5ZVX8umnn3LuueeyevVq9u3bR/ny5Zk7d25qm8GDB1OqVCklGETyESUZgrR+/ZEtFxEREZFjV6IEVKniH9mxf79PZGRWMP3AAahf3yclli71SYnffsvYDvxMGuXKZX/2jXLlCkRSIrdm2ejRowc9evSgYcOGlChRgkmTJmUYhiEi+c8hZ5coqJo3b+4WLlwYdBiHd7jKzSIiIiKSPxzJ323798OOHVn3lEjfa2LHjsyPaeZ7P2S30GW5cn7GDhGRXHbUs0tILjtc5WYRERERyR+O5O+24sXhlFP8IzuSktImJbIqeLl8+cGkRGZfFJr5GTUy6xWR2fvy5XMmKaGCmCISRkmGIOV05WYRERERyR25+XdbZCRUquQf2ZGcnHVSIvz1ypXwxRdZJyXA95TITkIiJSlRvHja7dMXMldBTJEiT8MlREREREQKs+RkXyfiUL0kwt/v2OFrTWSmTJm0CYhZs2DXroztNPxXpFDTcAkRERERkaKqWLGDvREaNDh8++RkP6PG4ZISa9ZknmAA36NhwQJo2lR1IkSKGP3Gi4iIiIjIQcWK+aER5ctDTMyh22ZVEBOgZUs46SQ4+2w45xw491xo1kxJB5FCTr/hIiIiIiJydLIqiPnUU362i88/hzlz4KOP/LpSpTImHdLXeRCRAk1JBhEREREROTqHK4jZubN/3rLlYMLh889h4EC/vFQpOOssn3A45xw47TQlHUQKOBV+FBERERGRvLVli5/5IiXp8OOPfvmJJ6ZNOjRvrqSDSD50qMKPEXkdjIiIiIiIFHGVKsHVV8Pzz8OyZT7p8PbbcOONkJAA998P//d/fjaLtm1h2DD4+mvYvz/oyLNt5syZ1KtXjzp16jB8+PAM6xMTE+nQoQONGzemZcuWLFu2LHVdjx49qFixIg0bNsx0308//TRmxvbt21OXLV26lFatWhEbG0ujRo3Ys2dPzp+USDaoJ4OIiIiIiOQv27Yd7OkwZ45PRICv93Dmmb6nw7nn+p4OJUoEF2cWkpOTOfXUU5k1axbR0dG0aNGCqVOn0iBsdo8BAwZQqlQpHnnkEVauXEmfPn2YPXs2AF988QWlSpWie/fuaZIPABs2bODmm29m5cqVLFq0iPLly5OUlESzZs147bXXaNKkCTt27KB06dIUK1YsT89big71ZBARERERkYKjQgXo1AlGj4YffvBJh3//G3r2hF9/9TUgzjwTSpeGCy/0dSC+/BL27Qs6cgDmz59PnTp1qF27NiVKlKBLly7MmDEjTZvly5fTpk0bAOrXr098fDxbtmwBoHXr1pQtWzbTfd999908+eSTmFnqsk8++YTGjRvTpEkTAMqVK6cEgwRGSQYREREREcnfypeHjh3huedg6VKfdJg+HW65BbZuhQcf9LUcSpeGCy6Axx+HefNg795Awt24cSPVqlVLfR8dHc3GjRvTtGnSpAnTp08HfFJi3bp1JCQkHHK/77//PlWrVk1NJqRYvXo1Zkbbtm1p1qwZTz75ZA6diciR0+wSIiIiIiJSsJQvDx06+AfAjh1+eEXKDBYPPeSXn3ACtGp1cHhFy5Zw3HG5Hl5mQ9LDex4ADBw4kL59+xIXF0ejRo1o2rQpkZFZ357t3r2bIUOG8Mknn2RYl5SUxLx581iwYAElS5akTZs2nHbaaak9JUTykpIMIiIiIiJSsJUrlzHpMHfuwaTDI4+Ac3D88b6g5Dnn+KTD6afnStIhOjqaDRs2pL5PSEigSpUqadpERUUxceJEwCclatWqRa1atbLc588//8zatWtTezEkJCTQrFkz5s+fT3R0NOeccw7ly5cHoF27dixevFhJBgmEhkuIiIiIiEjhUq4cXHkljBgB330H27fDe+9B796QmAiDB/tEQ+nScP758NhjPiGRQzMytGjRgjVr1rB27Vr27dvHtGnTuPzyy9O02blzJ/tCNSTGjx9P69atiYqKynKfjRo1YuvWrcTHxxMfH090dDSLFy/mlFNOoW3btixdupTdu3eTlJTE559/nqbIpEheyrWeDGZ2IvACsA+Y45ybElreGWgP7Aeeds6tMLOXgP9zzjUKtRkMxACJwGPOuU1mNhwoCex2zg3MrbhFRERERKSQKVsWrrjCP8AnGubO9b0cPv/cJx2c870aUoZXnHMOnHGG7/1whCIjIxkzZgxt27YlOTmZHj16EBsby9ixYwHo3bs3K1asoHv37hQrVowGDRowYcKE1O27du3KnDlz2L59O9HR0Tz66KP07Nkzy+OVKVOGfv360aJFC8yMdu3a0b59+yOOWyQn5NoUlmZ2PbDTOfcfM3vTOdc5tPwtoBtQBhjqnLs5tPwd59xVodcPAvWAncB9QHmgr3Ouv5k9BTznnNuQ4aAhmsJSRERERESyLTHRF4pMmTJzyRI4cMAnHc4442BNh6NMOogUNoeawjI3azJEAz+EXieHLX8aGA38ik80ZGaoc+6AmV0O3AwsAFKSCutD+06TZDCzXkAvgOrVq+dE/CIiIiIiUhSUKQOXXeYfADt3pk06/Otf8OijUKJExqTDCScEFrZIfpSbNRkS8MmANMdxzs13zvUGXiddoiCszYHQy61AKWBj2L6qhfadfptxzrnmzrnmFSpUyJkzEBERERGRoqd0abj0Unj6aVi4EH77DT74AO68E3bv9lNknn++b9e6NTz8MHz6qV8HMGUK1KwJERH+ecqU4M5FJI/l5nCJE4ExwB5gHnCxc+56M2sHXIZPHgxwzv1qZkOALsAsoC/QH59MKA/c6ZzbbGbDgOOAvc65+w91bA2XEBERERGRXPP77/Dllwd7Oixa5IdXFC8OtWrB2rWwf//B9iVLwrhx0K1bUBGL5KhDDZfItSRDkJRkEBERERGRPPPHH354xeefw8iREJo1Io0aNSA+Pq8jE8kVSjKIiIiIiIjkhYgIP1NFema+t4NIIXCoJENu1mQQEREREREpWrIqQu8cPPQQ/PVX3sYjkseUZBAREREREckpQ4b4GgzhTjgBWrXyBSPr14epUzPv7SBSCCjJICIiIiIiklO6dfNFHmvU8EMkatSAl1+Gr76CuXOhYkW49lo/K8XixUFHK5LjlGQQERERERHJSd26+SKPBw7455RZJc46C+bP90mHVaugeXO45RbYujXIaEVylJIMIiIiIiIieaVYMbj5Zli9Gu66C159FU49FUaMSDvtpUgBpSSDiIiIiIhIXitdGp59FpYuhTPOgH79oHFj+O9/g45M5JgoySAiIiIiIhKUmBj4+GP4z38gKQkuvhguvxx++inoyESOipIMIiIiIiIiQTKDSy+FZcvgiSfgs8+gQQO47z7488+goxM5IkoyiIiIiIiI5AfHHQf33uvrNXTrBk8+6es1TJrki0iKFABKMoiIiIiIiOQnlSvDxInw7bd+Cswbb4RWrfx7kXxOSQYREREREZH8qGVL+Oor35Nh/XpfIPKGG2Dz5qAjE8mSkgwiIiIiIiL5VUQEdO/uh1Dcdx9Mm+aHUDzxBOzdG3R0IhkoySAiIiIiIpLfnXQSDB8OP/4I558PAwdCw4Z+Vgrngo5OJJWSDCIiIiIiIgVFnTowYwbMnAnFi/vpLi++GFasCDoyEUBJBhERERERkYKnbVv4/nsYMcIXhGzcGO6+G3buDDoyKeKUZBARERERESmIiheHu+6CNWugRw8YNcrXa3j5ZUhODjo6yYaZM2dSr1496tSpw/DhwzOsT0xMpEOHDjRu3JiWLVuybNmy1HU9evSgYsWKNGzYMM02b7/9NrGxsURERLBw4cI065YuXUqrVq2IjY2lUaNG7NmzJ8fPKdeSDGZ2oplNMrOXzaxb2PLOZjbZzCaYWUxo2Utm9kNYm4Gh7f5jZtGhZT+b2Vgz65VbMYuIiIiIiBQ4FSrASy/BokVQrx706gUtWsC8eUFHJoeQnJxMnz59+Pjjj1m+fDlTp05l+fLladoMHTqUuLg4li5dyuTJk+nbt2/quhtvvJGZM2dm2G/Dhg2ZPn06rVu3TrM8KSmJ6667jrFjx/Ljjz8yZ84cihcvnuPnlZs9GToC7zjnbgEuD1veCegJ3A/0B3DO/RNYldLAOTc8tN0rwHmhxbuAE4ANuRiziIiIiIhIwdS0KXzxBUydCtu2wdlnQ9eusEG3UPnR/PnzqVOnDrVr16ZEiRJ06dKFGTNmpGmzfPly2rRpA0D9+vWJj49ny5YtALRu3ZqyZctm2G9MTAz16tXLsPyTTz6hcePGNGnSBIBy5cpRrFixnD6tXE0yRHMwIRDeV+dpYDRwG1Amq43NrBRwDfBeaFFToAfQN6ttREREREREijQz6NIFVq6Ehx+G997zvRv+9S/4+++go5MwGzdupFq1aqnvo6Oj2bhxY5o2TZo0Yfr06YBPSqxbt46EhISjOt7q1asxM9q2bUuzZs148sknjz74Q8jNJEMCPtGQ5jjOufnOud7A62TRK8HMooAXgXudc3+GtjvgnEsG9phZhrjNrJeZLTSzhdu2bcvhUxERERERESlATjwRHn3UzzrRvr1POMTEwDvvaMrLfMJl8jmYWZr3AwcOJDExkbi4OEaPHk3Tpk2JjIw8quMlJSUxb948pkyZwrx583j33XeZPXv2Ue3rUHIzyTAd6GRmLwL/MbPXAMysXWjZI8Dw0LIhQNNQzYXjgFeB0sAgMzvfzOqZ2Stm9gowxzl3IP3BnHPjnHPNnXPNK1SokIunJSIiIiIiUkDUrAlvvw2ffgpRUXD11dCmDSxdGnRkRV50dDQbwoayJCQkUKVKlTRtoqKimDhxIkuWLGHy5Mls27aNWrVqHfXxzjnnHMqXL0/JkiVp164dixcvPqZzyEyuJRmcc385525yzt3qnJvinLs+tPyj0LLrnXO/hpYNcs79wznX2zm31znX0Tl3Wej9p865Vc65HqHHyNyKWUREREREpFA67zxYvBheeMFPfdm0KfTpAzt2BB1ZkdWiRQvWrFnD2rVr2bdvH9OmTePyyy9P02bnzp3s27cPgPHjx9O6dWuioqKO6nht27Zl6dKl7N69m6SkJD7//HMaNGhwzOeRnqawFBERERERKQoiI+HWW/2Ul7fd5mekqFsXxoyBpKSgoytyIiMjGTNmDG3btiUmJoZrrrmG2NhYxo4dy9ixYwFYsWIFsbGx1K9fn48//phRo0albt+1a1datWrFqlWriI6OZsKECQC8++67REdH8/XXX9O+fXvatm0LQJkyZejXrx8tWrQgLi6OZs2a0b59+xw/L8tsHEhB17x5c5d+PlAREREREREJs2wZ9O3rh1I0bAijRsH55wcdlRQAZrbIOdc8s3XqySAiIiIiIlIUNWwI//sfTJ8Ou3b5Wg2dOsHatUFHVjRMmeJrZkRE+OcpU4KOKEcoySAiIiIiIlJUmUGHDn4Wiscfh5kz/SwUDz0Ef/0VdHSF15Qp0KsXrFvnZ/tYt86/LwSJBiUZREREREREirrjj4dBg2DVKt+b4fHHoV49eOONHJvycubMmdSrV486deowfPjwDOsTExPp0KEDjRs3pmXLlixbtix1XY8ePahYsSINGzZMs81vv/3GhRdeSN26dbnwwgtJTExMs379+vWUKlWKp59+OkfOIccMHAi7d6ddtnu3/wwKOCUZRERERERExIuO9t+mz5sHlSpBt25w9tmwaNEx7TY5OZk+ffrw8ccfs3z5cqZOncry5cvTtBk6dChxcXEsXbqUyZMn07dv39R1N954IzNnzsyw3+HDh9OmTRvWrFlDmzZtMiQv7r77bi655JJjiv2YbNsGc+b4WT369PGzfFSsCAkJmbdfvz5Pw8sNSjKIiIiIiIhIWmeeCfPnw/jxfjaKFi3g5pth69aj2t38+fOpU6cOtWvXpkSJEnTp0oUZM2akabN8+XLatGkDQP369YmPj2fLli0AtG7dmrJly2bY74wZM7jhhhsAuOGGG3jvvfdS17333nvUrl2b2NjYo4o525zz1+Wzz+D55/3MHeeeCxUq+ITCeef5BMPrr8PevXD55VCmTOb7ql49d2PNA5FBByAiIiIiIiL5ULFi0LMnXHUVPPYYPPccvP02PPII3H47lCiR7V1t3LiRatWqpb6Pjo7m22+/TdOmSZMmTJ8+nbPOOov58+ezbt06EhISqFSpUpb73bJlC5UrVwagcuXKbA0lQf766y+eeOIJZs2alXNDJVKSCT/+CMuXp33eseNgu5NPhgYN4Mor/XNsrH+uWtXXwACfeOjVK+2QiZIlYciQnIk1QEoyiIiIiIiISNZOPhmeeQZuuQXuvhv694dx42DkSLj44mztwmVS18FSbrhDBg4cSN++fYmLi6NRo0Y0bdqUyMiju2V95JFHuPvuuylVqtSRb+wcbNmSMZGwfHnGZEJsLHTsmDaZUKXKwWRCVrp188+DBvkhEtWr+wRDyvICTEkGERERERERObz69eGjj/zj7rvhkkugfXsYMQLq1j3kptHR0WzYsCH1fUJCAlWqVEnTJioqiokTJwI+KVGrVi1q1ap1yP1WqlSJzZs3U7lyZTZv3kzFihUB+Pbbb3nnnXe499572blzJxERERx//PHcfvvtBzd2Dn79NfNkwm+/HWxXurRPIHTqlDaZULny4ZMJh9KtW6FIKqSnJIOIiIiIiIhkj5lPLFx4IYwaBf/6l7/pvusuePBBiIrKdLMWLVqwZs0a1q5dS9WqVZk2bRpvvPFGmjY7d+6kZMmSlChRgvHjx9O6dWuisthfissvv5xJkyYxcOBAJk2axBVXXAHA3LlzU9sMfuQRSjnH7fXr+5jDkwnhs1GUKePP5eqr0yYTTjnl2JIJRYxl1m2loGvevLlbuHBh0GGIiIiIiIgUbr/+Cg88ABMn+tkohg+H7t0hIuMcAx999BF33XUXycnJ9OjRg0GDBjF27FgAevfuzddff0337t0pVqwYDRo0YMKECZQJFUjs2rUrc+bMYfv27VSqVIlHH32Unj17smPHDq655hrWr19P9erVeXvUKMpu3pymZ8LgRYsotXcv96QEUrasTyCkJBFSnitVUjIhm8xskXOueabrlGQQERERERGRY7JgAdx5J3zzDbRs6YtEnn567hzLOdi4MfNhDr//frBduXIZEwmxsX7GByUTjsmhkgwaLiEiIiIiIiLHpkUL+PJLmDIF7rsPzjgDrr/e92xIV3sh21KSCekTCemTCeXL++TBtdemTSZUqKBkQgDUk0FERERERERyzp9/wrBhfkaK4sV9rYbKlf3Ul5nNpOAcJCRknkz444+D+61QIfOeCRUqBHOeRZiGS4iIiIiIiEje+vlnP93ljBm+R0H4vWfx4tCqFezd65MJf/55cF3FihmTCQ0aKJmQjyjJICIiIiIiIsGoVAm2bs24PCICzjknY0KhfPm8j1GOiGoyiIiIiIiISDC2bct8uXPw6ad5G4vkuozziuQQMzvRzCaZ2ctm1i1seWczm2xmE8wsJrTsJTP7IaxNQzObEno0DC0bbmbPmdnw3IpZREREREREclj16ke2XAq0XEsyAB2Bd5xztwCXhy3vBPQE7gf6Azjn/gmsCmvTF+gD3AbcYWbVgeLOuTuBYmZWLRfjFhERERERkZwyZAiULJl2WcmSfrkUOrmZZIgGNoReJ4ctfxoYjU8glMli25Odczudc78DJwFVw/a1PrRvERERERERye+6dYNx46BGDV8AskYN/75bt8NvKwVObtZkSMAnA5YQlsxwzs0H5ptZHeD2LLb93cxOBhzwJ7CRg4mFasB76Tcws15AL4Dq6nYjIiIiIiKSf3TrpqRCEZFrs0uY2YnAGGAPMA+42Dl3vZm1Ay4DSgEDnHO/mtkQoAswCz9Uoi4wADDgSefcMjMbBhwH7HXO3X+oY2t2CREREREREZHcoSksRURERERERCRHHCrJkJs1GURERERERESkCCmUPRnMbBuwLug4jlB5YHvQQeQzuiYZ6ZpkpGuSOV2XjHRNMtI1yUjXJCNdk4x0TTKn65KRrklGuiYZFcRrUsM5VyGzFYUyyVAQmdnCrLqbFFW6JhnpmmSka5I5XZeMdE0y0jXJSNckI12TjHRNMqfrkpGuSUa6JhkVtmui4RIiIiIiIiIikiOUZBARERERERGRHKEkQ/4xLugA8iFdk4x0TTLSNcmcrktGuiYZ6ZpkpGuSka5JRrommdN1yUjXJCNdk4wK1TVRTQYRERERERERyRHqySAiIiIiIiIiOUJJhoCZ2ZVm9rKZzTCzi4KOJz8wsxgzG2tm75jZrUHHk1+Y2YlmtsjMLg06lvzCzM41s7mhn5dzg44nPzCzCDMbYmajzeyGoOPJD8zs7NDPyHgz+yroePIDM6tuZu+b2StmNjDoePIDM2tgZm+Z2YtmdlXQ8QTJzGqb2QQzeyf0/trQ3yqTzezEoOMLSibXpZ+ZLTazhkHHFpRMrsnE0GOSmRULOr4gZHJN7g39/zPDzMoGHV8Q0l+T0LKeZvZ5kHEFKZOfk49Df6s8HXRsOUFJhoA5595zzt0C3Ah0DjicfME5t8I51xu4Big0U7nkgPuAt4IOIp9xwC7geCAh4FjyiyuAqsB+dE0AcM7NDf2b8gEwKeh48olTgQ+dcz2ABkEHk09cAox2zt0KdA86mCA5535xzvUMW9Qh9LfKW0DHgMIKXPrr4px7Fng/wJACl8k1uck5dxOwE6gSWGAByuSaPOmcuxmYA1QLLLAApb8mZlYLKAdsCy6qYGXy7+xu/L35loBCylFKMuQfDwLPBx1EfmFmlwPzgNlBx5IfmNkFwHIKyT88OWiuc+4SfALm0aCDySfqAV875/oB6gmU1rXA1KCDyCe+A7qY2afAZ0EHk0+8hr8mT+H/+JWDUgp4rQOigwxE8j8zqw8c55zbEHQs+YGZlTCz8UB7/O9QkWZmEUB/YGTAoeQ3VzvnegGVzaxx0MEcKyUZAmbeE8DHzrnFQceTXzjn3nfO/R/QLehY8onzgDPwN0m3hP6BLvKccwdCLxOB44KMJR9JwF8PgOQgA8lPzKw68Ltz7o+gY8knbgIecc6dj//Dt8hzzm11zvUBBgLbg44nn6qOekjJIYSGjtwD3Bl0LPmFc25fqCfDOHxvw6KuNlABeBJoYmbtAo4nXwj7m3YrUCrIWHJCZNABCHcAFwAnm1kd59zYoAMKWmhsfUf8TeNHgQaTTzjnBgGY2Y3A9rB/iIo0M+sItAVKA2OCjSbfmA6MNrOzgS+CDiYf6QlMDDqIfGQmMNjMrgXiA44lXzCzmsADwInAU8FGEywzKwcMAZqa2f3Ae2b2InAC0CfQ4AKUyXXZBFwKxJjZ4865HwINMADprskg4HbgY+C50DUpckmpTH5OSgMlgTL4b/CLnPBrgv/GvnNoebRzrkj+rZ/Jz0l9/JCJSHwCpkDTFJYiIiIiIiIikiPU5VpEREREREREcoSSDCIiIiIiIiKSI5RkEBEREREREZEcoSSDiIiIiIiIiOQIJRlEREREREREJEcoySAiIiIAmJkzs2fC3t9jZoNz+BhfZaNNvJmVz2T5YDO7JyfjERERkZylJIOIiIik2At0zOwGP6c45/4vt/Z9KGZWLIjjioiIFDVKMoiIiEiKJGAccHd2GpvZq2b2nJl9ZWa/mNlVYesGmNkCM1tqZo+GLd8Veo4wsxfM7Ecz+8DMPgrfHrjDzBab2Q9mVj9seRMz+9TM1pjZLaF9mZk9ZWbLQu07h5afa2afmdkbwA9mdqKZfWhm34fadj7qKyUiIiKZigw6ABEREclXngeWmtmT2WxfGTgLqA+8D7xjZhcBdYGWgAHvm1lr59wXYdt1BGoCjYCKwArglbD1251zzczsNuAe4ObQ8sbAGcCJwHdm9iHQCogDmgDlgQVmlnKslkBD59xaM+sEbHLOtQcws5OzeY4iIiKSTerJICIiIqmcc38Ak4E7s7nJe865A8655UCl0LKLQo/vgMX4BETddNudBbwd2vZX4LN066eHnhfhkxEpZjjn/nbObQ9t0zK0r6nOuWTn3Bbgc6BFqP1859za0OsfgAvM7AkzO9s593s2z1FERESySUkGERERSW8k0BPfW+Bw9oa9trDnYc65uNCjjnNuQrrtjENL2W8yaXteunTt3GH29VdqQ+dWA6fhkw3DzOzhw8QgIiIiR0hJBhEREUnDOfcb8BY+0XA0/gv0MLNSAGZW1cwqpmszD+gUqs1QCTg3m/u+wsyON7NyoW0WAF8Anc2smJlVAFoD89NvaGZVgN3OudeBp4FmR35qIiIiciiqySAiIiKZeQa4/Wg2dM59YmYxwNdmBrALuA7YGtbs30AbYBmwGvgWyM7whfnAh0B14F/OuU1m9i6+LsP3+J4N9zrnfk1XMBJ8/YenzOwAsB+49WjOT0RERLJmzqXvdSgiIiKS+8yslHNuV6hXwnzgzFB9BhERESmg1JNBREREgvKBmZUGSuB7JSjBICIiUsCpJ4OIiIgckpkNAq5Ot/ht59yQIOIRERGR/EtJBhERERERERHJEZpdQkRERERERERyhJIMIiIiIiIiIpIjlGQQERERERERkRyhJIOIiIiIiIiI5AglGUREREREREQkRyjJICIiUoCY2S4zq53TbY+VmX1sZjfkxbEOEcOZZrYmdN5X5sD+XjWzx3MgtMMdJ9vXzszmmNnNWayraWbOzCJzNkIREZHs039CIiJSKJlZPFAFqOKc2x62fAnQBKjlnIvPw3jOBV53zkUfy36cc6Vyo+2RMLPBQB3n3HVhx7okN451hB4DxjjnRgUdyJHIJ9dOREQkR6gng4iIFGZrga4pb8ysEXBCcOEcmr6BPmY1gB+PZkNd+7R0PURE5GgpySAiIoXZa0D3sPc3AJPDG5jZcWb2tJmtN7MtZjbWzE4IrStjZh+Y2TYzSwy9jg7bdo6Z/cvMvjSzP83sEzMrnz4IMzsR+BioEurKv8vMqpjZYDN7x8xeN7M/gBvNrKWZfW1mO81ss5mNMbMSYftyZlYn9PpVM3vezD4MHf9bM/vHUba9yMxWmdnvZvaCmX2eWbd8M7sYeADoHDqP78Ouxc2h1zeGrsmI0Hn8Ymb/F1q+wcy2hg8POMxnUD503Xea2W9mNtfMMvz9YmY/A7WB/4TiOi50jd8PbfeTmd0S1j7DtU+/z3T7P8nMPjOz58zMMll/yJ8FMzvDzL4Kncf3oZ4t4dumXLtiZvaMmW03s7VmdrtlHAJR4zA/cz3MbFPo56d/uus8MrRuU+j1caF155pZgpndZ2a/AhOze+1FRETC6T8KEREpzL4BoswsxsyKAZ2B19O1eQI4FYgD6gBVgYdD6yKAifhvyKsDfwNj0m1/LXATUBEoAdyTPgjn3F/AJcAm51yp0GNTaPUVwDtAaWAKkAzcDZQHWgFtgNsOcY5dgUeBMsBPwJAjbRu6SX0HuB8oB6wC/i+zHTjnZgJDgTdD59Eki2OdDiwN7e8NYBrQAn+NrwPGmFnKcI5DfQb9gQSgAlAJn+BwmcT1D2A9cFkorr3A1NC2VYCrgKFm1iZss/TXPlNmVg6YDXzpnLvTOZfh+CGZ/iyYWVXgQ+BxoGxo+b/NrEIm+7gF/7MSBzQDrszuccKcB9QFLgIGmtkFoeWDgDNC+24CtAQeDNvulFB8NYBeZPPai4iIhFOSQURECruU3gwXAiuBjSkrQt9I3wLc7Zz7zTn3J/4GuguAc26Hc+7fzrndoXVDgHPS7X+ic261c+5v4C38DdyR+No5955z7oBz7m/n3CLn3DfOuaRQzYiXMjlmuOnOufnOuST8jfKhjp9V23bAj8656aF1zwG/HuF5pLfWOTfROZcMvAlUAx5zzu11zn0C7APqHO4zAPYDlYEazrn9zrm5h7jJT2Vm1YCzgPucc3ucc0uA8cD1Yc3SXPssdlUF+Bx42zn3YBZtUmT1s3Ad8JFz7qPQsWYBC/HXPb1rgFHOuQTnXCIw/AiOk+JR59xfzrkf8EmylCFD3fCfwVbn3DZ8win8ehwAHgl9Rn9zlNdeRESKNo23ExGRwu414AugFumGSuC/oS0JLArrAW9AMQAzKwmMAC7Gf/sPcJKZFQvdPEPam/HdwJEWW9wQ/sbMTgWeBZqHYosEFh1i+yM5flZtq4TH4ZxzZpZw2MgPbUvY679D+02/rBSH+QyAp4DBwCeh9eOcc5ndeKdXBUhJWqRYh7+uKTZweO2BXcDYbLTN6vrWAK42s8vC1hcHPstkH2k+iyxiPNxnHr7NOqBR2L7XpVtXJez9NufcnrD3R3vtRUSkCFNPBhERKdScc+vwBSDbAdPTrd6Ov9mNdc6VDj1ODpuVoT9QDzjdORcFtA4tzzAmPzuhZHP5i/geF3VDx3zgKI93JDYD4bUmLPx9JnLy2+xDfgbOuT+dc/2dc7WBy4B+6YY8ZGUTUNbMTgpbVp2wnixk7zxeBmYCH5mvrXE0NgCvhZ1faefciVncsKf5LPA9QI5U+DbV8deC0HONLNZBuutxDNdeRESKMCUZRESkKOgJnB+qjZDKOXcAfxM5wswqgh8/b2ZtQ01Owt8A7zSzssAjxxDDFqCcmZ18mHYnAX8Au8ysPnDrMRwzuz4EGpnZlaECg33w4/OzsgWomRNFAA/3GZjZpWaWMqziD3zNiuQsd3hwvxuAr4BhZna8mTXG/xxkWXvhEG7H16n4IKUg5RF6HbjMzNqGCjseHyq0mFki5y2gb+galAbuO4rjPWRmJc0sFl+74c3Q8qnAg2ZWIVSH42Ey1ihJdbTXXkREijYlGUREpNBzzv3snFuYxer78EUQvwnNMvA/fO8FgJH4KS+344tIzjyGGFbib/J+CVXrr5JF03vwhf3+xN98v5lFuxzjnNsOXA08CewAGuBrBuzNYpO3Q887zGxxDoRwqM+gbuj9LuBr4AXn3Jxs7rcrUBP/bf27+HoDs440uFAdgl74HgkzzOz4I9x+A77I5APAttB+BpD532EvA5/gi2Z+B3wEJHFkN/ef46/nbODpUA0M8IUnF4b2/QOwOLQsK8dy7UVEpIgy1e8RERGRcKEeCglAN+dcZnUDJI+Y2SXAWOdcjcM2FhERyQfUk0FERIoMM3vFzLaa2bKwZWXNbJaZrQk9l8lku+PNbL6ZfW9mP5rZo2Hr3jSzJaFHvJktyaPTyVGhrvylzew4DtaB+CbgsIocMzvBzNqZWWRo6stH8L0wRERECgQlGUREpCh5FT9TRLiBwGznXF189/KBmWy3F1/ToQl+usCLzewMAOdcZ+dcnHMuDvg3GYtLFhStgJ/xQ0MuA648xLSOknsMP7VkIn64xAp87QQREZECQcMlRESkSDGzmsAHzrmGofergHOdc5vNrDIwxzlX7xDblwTmAbc6574NW27AenwyYk1unoOIiIhIfqWeDCIiUtRVcs5tBgg9V8ysUWhWgCXAVmBWeIIh5GxgixIMIiIiUpQpySAiIpINzrnk0JCIaKClmTVM16QrfvYIERERkSKrUA6XKF++vKtZs2bQYYiISD60d+9efvrpJ2JjYwFYtmwZ9erVo3jx4uzfv59Vq1bRsGH6/EFamzZtIiIiglNOOQUA5xxLly4lJiaGEiVK5Po5iIiIiARp0aJF251zFTJbF5nXwYQzs9rAIOBk59xVZnYtcB5wHH6s61/p2o8Fdjnn7jnUfmvWrMnChVlNhy4iIkVZfHw8l156aer/EwMGDKBcuXIMHDiQ4cOH89tvv/Hkk0+m2Wbbtm0UL16c0qVL8/fff3PRRRdx3333cemllwIwc+ZMhg0bxueff57n5yMiIiKS18xsXVbrAh0u4Zz7xTnXM2xRB+fcLcBbQMfwtmZ2FaDMgYiIHLWuXbvSqlUrVq1aRXR0NBMmTGDgwIHMmjWLunXrMmvWLAYO9JNLbNq0iXbt2gGwefNmzjvvPBo3bkyLFi248MILUxMMANOmTaNr166BnJOIiIhIfpIvhkuY2TuhngxvOeeuMbNGwKXOuWGh9ZWAO4GXgdsP15OhefPmTj0ZRERERERERHKemS1yzjXPbF1+LfxYHUgIe38Ovtr3w8B5ZnZq+g3MrJeZLTSzhdu2bcujMEVEREREREQkRaBJBjMrF6qz0NTM7gfeM7MXgauB6WbWysxuc869FRpG8RjwmXNudfp9OefGOeeaO+eaV6iQaf0JEREpgqZMgZo1ISLCP0+ZEnREIiIiIoVXvhgukdM0XEJERMAnFHr1gt27Dy4rWRLGjYNu3YKLS0RERKQgK4jDJURERI7Jzp3Qr1/aBAP494MGBRKSiIiISKEX6BSWIiIiOWH/fli6FL79FubP988rV2bdfv36vItNREREpChRkkFERAoU5yA+3icSUpIKixfDnj1+fYUKcPrpfjjE6NGwdWvGfVSvnqchi4iIiBQZSjKIiBRSPXr04IMPPqBixYosW7YMgN9++43OnTsTHx9PzZo1eeuttyhTpkya7TZs2ED37t359ddfiYiIoFevXvTt2xeAzp07s2rVKgB27txJ6dKlWbJkSa6eR2IiLFiQNqmQMonQ8cfDaafBrbf6xMLpp0ONGmDm19eqlbEmw3HHwZAhuRqyiIiISJGlwo8iIoXUF198QalSpejevXtqkuHee++lbNmyDBw4kOHDh5OYmMgTTzyRZrvNmzezefNmmjVrxp9//slpp53Ge++9R4MGDdK069+/PyeffDIPP/xwjsW8b9/BYQ8pj9Vh8wnFxPhEQsuW/rlRIyhe/ND7nDLF12BYvx4iI33hx19+gbJlcyxsERERkSLlUIUflWQQESnE4uPjufTSS1OTDPXq1WPOnDlUrlyZzZs3c+6556b2TMjKFVdcwe23386FF16Yusw5R/Xq1fn000+pW7fuUcXmHKxdmzah8N13sHevX1+p0sHeCS1bQosWcPLJR3WoVIsX+/117gyvv35s+xIREREpqg6VZNBwCRGRImTLli1UrlwZgMqVK7M1s4IFYeLj4/nuu+84/fTT0yyfO3culSpVOqIEw2+/ZRz2sH27X3fCCX7Yw+23H0wqVK9+cNhDTmnWDB58EAYPho4d/UNEREREco6SDCIikqldu3bRqVMnRo4cSVRUVJp1U6dOpWvXrlluu3cvfP/9wZkevv0W1qzx68z8sIfLLjvYUyE29vDDHnLKAw/A++9D795w1llQsWLeHFdERESkKFCSQUSkCKlUqRKbN29OHS5RMYs77P3799OpUye6detGx3Rf9yclJTF9+nQWLVoE+GEPP/+cdvrI777z9RUATjnFJxJuusk/N28O6XIWeap4cZg82fdquPVWeOednO8xISIiIlJUKckgIlKEXH755UyaNImBAwcyadIkrrjiigxtnHP07NmTmJgY+vXrl2H99On/o2LF+owfH838+T6xsGOHX1eypB/2cOedB3spREfnv5v42Fj417/gvvtg6lS49tqgIxIREREpHFT4UUSkkOratStz5sxh+/btVKpUiUcffZQrr7ySa665hvXr11O9enXefvttypYty6ZNm7j55pv56KOPmDdvHmeffTaNGjXCLIK//4bzzhvKrl3tmD8ffvrpRuAMzHoTG3twpoeUYQ+RBSR9nZwMZ58NK1fCsmVQpUrQEYmIiIgUDJpdQkREDss5+OmntLM9LFkC+/f79VWqpJ0+snlzOOmkQEM+ZqtXQ1wcnHcefPBB/utxISIiIpIfaXYJERHJYPv2tIUZ58+HxES/7sQTfRLh7rsPJhWio4ONNzeceioMHw59+8LEidCjR9ARiYiIiBRs6skgIlKITJkCgwbB+vV+CsghQ6BbN9izx/dKCO+l8MsvfpuICD/MIWXIQ8uW0KBBwRn2cKwOHIA2bWDRIvjhB6hRI+iIRERERPI3DZcQESkCpkyBXr1g9+6DyyIjoVo1SEg4OOyhatWDCYXTT/eFGkuVCibm/GLtWmjc2CdYZs3yiRcRERERyZyGS4iIFAGDBqVNMAAkJcGmTdCv38FeClWrBhNfflarFjzzDPzzn/Dii9CnT9ARiYiIiBRM6skgIlJIRET44o3pmfkhAXJozsEll8DcufD991CnTtARiYiIiORPh+rJoA6hIiKFRPnymS+vXj1v4yiozGD8eCheHG680U9xKSIiIiJHRkkGEZFCYM8e/5x+CsaSJX3xR8me6GgYPRq+/BJGjgw6GhEREZGCR0kGEZFCYMQI2LYN7r3Xz45g5p/HjfOzS0j2XXcdXHGFr3GxfHnQ0YiIiIgULKrJICJSwG3cCPXqwYUXwrvvBh1N4bBli5/Ws1Yt+PrrojOdp4iIiEh2qCaDiEghdt99fhaJZ54JOpLCo1IlP8vEwoUwfHjQ0YiIiIgUHEoyiIgUYF9+CVOmwIABULt20NEULldfDV26wGOP+dkmREREROTwNFxCRKSASk6GFi18LYaVK+HEE4OOqPDZsQMaNoSKFWHBAihRIuiIRERERIKXb4dLmFltM5tgZu+E3l9rZi+b2WQzOzGsXT0ze8XM3jCz+4KLWEQk/3jlFfjuO3jqKSUYcku5cr545tKlvkeDiIiIiBxaoEkG59wvzrmeYYs6OOduAd4COoa1W+Wc6+GcuxY4Pa/jFBHJbxIT4YEH4OyzoXPnoKMp3C67DG680ddmmD8/6GhERERE8rf8VpMhZezGOiA6/Uoz6wJ8ktmGZtbLzBaa2cJt27blYogiIsF79FH47Td47jk/XaXkrpEjoXJluOEG+PvvoKMRERERyb/yW5IhRXUgIXxBKMFQwzk3NrMNnHPjnHPNnXPNK1SokBcxiogE4scfYcwY6NUL4uKCjqZoOPlkmDDB17546KGgoxERERHJv4KuyVDOzMYCTc3sfuA9M3sRuBqYbmatzOw2M2sKPA3UMrNng4xZRCRIzkHfvnDSSfCvfwUdTdFy0UXQuzc8+yzMnRt0NCIiIiL5k2aXEBEpQN59Fzp2hNGj4fbbg46m6Nm1Cxo39kNUvv8eSpUKOiIRERGRvJers0uYWbSZ3WNmM8xsgZl9YWYvmFl7M8uvwzFERAqcv/+Gfv38lIq9ewcdTdFUqhS8+iqsXQv3aa4jERERkQyOKQlgZhOBV4B9wBNAV+A24H/AxcA8M2t9rEGKiAg88wzEx8OoURAZGXQ0RVfr1nDXXfDCC/C//wUdjYiIiEj+ckzDJcysoXNu2SHWlwCqO+d+OuqDHAUNlxCRwmbDBqhXD9q3h7ffDjoa+ftvaNoUdu+GH37whSFFREREiopcGy6RWYLBzMqYWePQ+n15nWAQESmMBgzwRR+ffjroSATghBNg0iTYuNEPYRERERERL0dqJpjZHDOLMrOywPfARM0CISKSM774At5809cAqFEj6Ggkxemn+8/klVfggw+CjkZEREQkf8iR2SXM7DvnXFMzuxmo5px7xMyWOucaH3uIR07DJUSksEhOhtNOg99+g5UroWTJoCOScHv3QosWsG0b/PgjlC0bdEQiIiIiuS9XZ5cIiTSzysA1gL7PERHJIS+/7KdKfOYZJRjyo+OOg8mTYft2uOOOoKMRERERCV5OJRkeA/4L/OScW2BmtYE1ObRvEZEi6bffYNAgOPdcuOqqoKORrMTFwcMPwxtvwL//HXQ0IiIiIsHKkeES+Y2GS4hIYXD77fDii/Ddd9A4kMFnkl3790OrVrBunR82UbFi0BGJiIiI5J5cHy5hZrXM7Fkzm25m76c8cmLfIiJF0Q8/+ATDrbcqwVAQFC/uZ5v44w/o3dvPBCIiIiJSFEXm0H7eAyYA/wEO5NA+RUSKJOfgzjuhdGl47LGgo5Hsio2Fxx+He+/1Qye6dQs6IhEREZG8l1NJhj3OuedyaF8iIkXav/8Nc+bACy9otoKCpl8/eO89P9Tl3HOhatWgIxIRERHJWzk1heW1QF3gE2BvynLn3OJj3vlRUE0GESmodu+GmBgoUwYWLYJixYKOSI7UmjXQpIlPMnz4IZgFHZGIiIhIzjpUTYac6snQCLgeOJ+DwyVc6L2IiGTTk0/C+vXw2mtKMBRUdevCE0/4IS8TJsDNNwcdkYiIiEjeyameDCuBxs65fcce0rFTTwYRKYjWrYP69eGKK2DatKCjkWNx4ABccAEsWOCLeNasGXREIiIiIjkn12eXAL4HSufQvkREiqR77vFd6596KuhI5FhFRMArr/jXPXr4pIOIiIhIUZBTSYZKwEoz+6+msBQROXKffQbvvAP33w/VqgUdjeSEmjVhxAj/2b7wQtDRiIhIfjFq1CgaNmxIbGwsI0eOzLA+MTGRDh060LhxY1q2bMmyZctS140YMYLY2FgaNmxI165d2bNnTx5GLpI9OTVc4pzMljvnPj/mnR8FDZcQkYIkKQmaNoVdu2D5cjjhhKAjkpziHLRv72cL+f57X69BRESKrmXLltGlSxfmz59PiRIluPjii3nxxRepG/YfxIABAyhVqhSPPPIIK1eupE+fPsyePZuNGzdy1llnsXz5ck444QSuueYa2rVrx4033hjcCUmRlevDJZxzn2f2yIl9F2VHm+VctWoVcXFxqY+oqKhMtxeR/GHsWFi2DJ55RgmGwsYMXn4ZjjsObrwRkpODjkhERIK0YsUKzjjjDEqWLElkZCTnnHMO7777bpo2y5cvp02bNgDUr1+f+Ph4tmzZAkBSUhJ///03SUlJ7N69mypVquT5OYgcTk4Nl5ActmzZMl5++WXmz5/P999/zwcffMCaNWvStBk6dChxcXEsXbqUyZMn07dvXwDq1avHkiVLWLJkCYsWLaJkyZJ06NAhiNMQkcPYvh0efhjatAH9mhZOVavC6NHw1Vfw7LNBRyMiIkFq2LAhX3zxBTt27GD37t189NFHbNiwIU2bJk2aMH36dADmz5/PunXrSEhIoGrVqtxzzz1Ur16dypUrc/LJJ3PRRRcFcRoih6QkQz51rFnOFLNnz+Yf//gHNWrUyLPYRST7HnoI/vgDRo3y33pL4dStm08iPfSQHxIjIiJFU0xMDPfddx8XXnghF198MU2aNCEyMjJNm4EDB5KYmEhcXByjR4+madOmREZGkpiYyIwZM1i7di2bNm3ir7/+4vXXXw/oTESypiRDPnUsWc5w06ZNo2vXrnkWt4hk35IlMG4c9OkDsbFBRyO5ycwPiznpJLjhBti/P+iIREQkKD179mTx4sV88cUXlC1bNk09BoCoqCgmTpzIkiVLmDx5Mtu2baNWrVr873//o1atWlSoUIHixYvTsWNHvvrqq4DOQiRrOZJkMLMzzWyWma02s1/MbK2Z/ZIT+y6qjiXLmWLfvn28//77XH311XkdvogchnNw551QtiwMHhx0NJIXKlaEF1+EhQth+PCgoxERkaBs3boVgPXr1zN9+vQMXwju3LmTffv2ATB+/Hhat25NVFQU1atX55tvvmH37t0455g9ezYxMTF5Hr/I4UQevkm2TADuBhYBKmuVQ3r27EnPnj0BeOCBB4iOjk6zPiXLCeCco1atWtSqVSt1/ccff0yzZs2oVKlS3gUtItny5pswdy689BKUKRN0NJJXrroKunaFxx6Dyy6DuLigIxIRkbzWqVMnduzYQfHixXn++ecpU6YMY8eOBaB3796sWLGC7t27U6xYMRo0aMCECRMAOP3007nqqqto1qwZkZGRNG3alF69egV5KiKZyqkpLL91zp1+FNvVBgYBJzvnrjKza4HzgOOAW51zf4W1HQ6UBHY75wYear+FZQrLrVu3UrFiRdavX89FF13E119/TZmwu5GdO3dSsmRJSpQowcsvv8zcuXOZPHly6vouXbrQtm1bbrrppiDCF5Es/PUX1K8PFSrAggVQrFjQEUle+u03Pzwm5fM/7rigIxIRERE5Mrk+hSXwmZk9ZWatzKxZyuNwGznnfnHO9Qxb1ME5dwvwFtAxZaGZVQeKO+fuBIqZWbUcijtf69SpEw0aNOCyyy5Lk+VMyXSuWLGC2NhY6tevz8cff8yoUaNSt929ezezZs2iY8eOWe1eRAIyfDgkJMBzzynBUBSVLeuntfzhB9+jQURERKQwyameDJ9lstg5587P5vbvhHoyvOWcu8bMGgGXOueGhda3Ak53zo00szuAhc65r9PtoxfQC6B69eqnrVu37pjOSUQkN6xdCzEx0KkTTJkSdDQSpB49YNIkP7Xl6UfcF1BERPKzKVNg0CBYvx6qV4chQ/xMQyKFRa73ZHDOnZfJI1sJhixUB8KnSdgIpBQkqJZuXUoM45xzzZ1zzStUqHAMh85bU6ZAzZoQEeGfddMhUrj17w+RkfDkk0FHIkEbMQKqVvWzTfz9d9DRiIhITpkyBXr1gnXrfKHn/2fvvsOqLN8Ajn8floIT90DAPcCNZsO0zL1y5MiRiZrtZVpaacPKMkdqmvPnypFpmqvMbQ5coKi5FVepKC5UBJ7fH88BQYaDAy/j/lzXuYB3nft9xcM593s/93PypPlZ3ueLrCJFlQxKqa5a61lKqfcSW6+1HnGf/fMDQ4GGwGTgJFAXcAVeB6oA1bXWPyqlvsb0arittf4oueNmlJ4MMS9A4eF3l7m5mSntJNMpRObz11/QsKG5mzFwoNXRiPQg5nfi3XdhRLJ/MYUQQmQU3t4msXCvYsXMcEml0jwkIewuuUqGlCYZXtFa/6SUGpzYeq31Z4988BTIKEmGpF6AvLzgxIm0jkYIkZru3DEzCdy6Bfv2QfbsVkck0ovXXzdTW65bB08/bXU0QgghUiq5JEKhQvDUU+ZRt655b+Bkr/n+hEhDySUZUvQrrbX+yfbVkmRCRhcSkvjykyfhtdfMGN3HHoNy5cxwCiFExvXjj7B/P/z2myQYRHzDhsHKldCjB+zZAzlzWh2REEKIRxEVBQMGJL0+Xz5o3Bg2bYKFC82yHDmgTp27SYfHHpO/AyLjS2klw8fAj1rrS0msfxZw01ovfeQneQQZvZIhWzZwdobr183PefJArVp3kw6PPWayoEKIjOHCBShb1vzfXblSyiRFQhs3Qr160LevSUgJIYTIWG7cgK5dzc2ERo1MIiG5IdFnzsDff5vtNm6EoCDTv8HREapXv1vt8NRTULiwJackRLJSs/HjXuB3pdRq2xSW/ZVSnyqlZiql9gItgW0pfI5Ma+hQ84ITl5sbTJkCYWEQHGy+79gRLl400961amVeaLy9zfIRI8wLVNwXscxu9OjR+Pr64uPjw6hRoxKsv3LlCi1btqRq1ar4+Pgwbdo0AA4ePEi1atViH7lz5050fyHsbdAg8+Zj1ChJMIjE1a1r+jKMHw+rVlkdjRBCiIdx9qxJFC9ZYqan/uMPk1Dw8jJ/9728EvZcK14cOnQw2+/eDZcvmxsRH31kqhsmTID27aFIEVPV3LMnTJ0Khw6ZZERmI+/vE8rI18ReU1iWBZ4EigI3gQPABq21Jf2yM0olAzzc9DY3bsCuXbBtGwQEmK8xQy4cHaFKlbuVDrVrQ4UKmW+YRXBwMJ06dSIgIAAXFxeaNGnC+PHjKVu2bOw2X331FVeuXGHYsGFcuHCB8uXL8++//+Li4hK7TVRUFMWLF2fbtm14eXlZcSoii9i501QivfOONPYTybt5E2rUMFVswcGmik0IIUT6tmcPNG9ukgTz5pnv7SEiwrzv37Tp7iM01KyL29fhqadM5UNG7usg7+8TygjXJNV6MsTQWh8GDtvjWFlNly4PPpNEjhzmblfduneX/fvv3YTDtm3w888m8wmQO/fdYRa1a5uvRYrY/xzS0oEDB6hTpw5uthKQevXqsWjRIvr37x+7jVKKa9euobXm+vXr5MuXD6d7XnlXr15N6dKlM/wLkEjftIa33oKCBWFwou1xhbjL1RWmT4fHHzdVDVOnWh2REEKI5KxYYaoR8uQxSYBq1ex3bBcX06uhTh3o1w+io+HgwbsJh40bE+/r8NRT5vuM1NdB3t8nlNGvSQbOeQkwSYNWrcwD7r4AxSQdtm0zTcWiosx6T8/4SYeaNRMO2UjPfH19GTRoEKGhobi6urJ8+XL8/OIn0N544w1atWpFsWLFuHbtGvPmzcPhnpKOuXPn0rlz57QMXWRBP/8MmzfD5MlyV1o8mNq1Tans0KHQti20aGF1REIIIRLz44/w5ptQtSr8/rsZ/pCaHBygYkXz6N3bLIvb12HTJvjiC/NZIKP1dZD39wll9Gtil+ES6U1GGi6RFsLDzVivmKRDQMDdKTIdHaFy5btJh8ceM8MsHB0tDTlZU6ZMYdy4ceTMmZNKlSrh6urKyJEjY9cvWLCAv//+mxEjRnD06FEaNmxIUFAQuXPnBiAiIoJixYqxb98+CqfnV1yRoV2/DuXLmzmxt23LfEOXROqJiDBVaOfPm2ET+fNbHZEQQogYUVGmsmDUKGjZ0txQSC9VA1euwNatd5MOW7eaqbPBNKCOm3QoWzZ99YmS9/cJpfdrkpqNH0UG4OYGTz4J771nxoodP26GWSxZAh9+aEq5580Df3/w9QV3d3j2WXM37bff4Nw5q88gPn9/f3bt2sWGDRvIly9fvLFJANOmTaNt27YopShTpgwlS5bkn3/+iV2/YsUKatSokWlegET69NVXphHUDz9IgkE8HBcXM2zi4kV44w2roxFCCBHj+nVo08YkGN55BxYtSj8JBjBVk40bm4qGtWtN0mHLFvjuO6hUybz39/c3N0GKFIF27WDkSNi+He7csTZ2eX+fUEa+JnYZLqGU+hb4EtP0cSVQFXhHaz3LHscX9le4sMm+tmxpfo6ONt1q4zaVHD4cIiPNeg+P+FNo1qxpxn9Z4fz58xQqVIiQkBAWLlzIli1b4q339PRk9erV1K1bl//++4+DBw9SqlSp2PVz5szJNKVUIn06cgS+/x66dTPj64V4WNWqmT4en3xihk288ILVEQkhRNZ25ox53xwUBOPGwWuvWR3R/d2vr8OmTemnr4O8v08oI18Te80uEai1rqaUagM8D7wLrNVaV03xwR+BDJewj5s3zTCLuI0ljx836xwcTNVD3NksKlVKm2EWdevWJTQ0FGdnZ0aMGEGDBg2YYOt22bdvX86ePUuPHj04d+4cWms+/PBDunbtCkB4eDglSpTg2LFj5JFB8iKVtG4Na9aYP+TFilkdjcioIiNNkur4cdi3L32PpxVCiMwsMND0yLlyBebPh6ZNrY7Ifu7t6xAUlHhfhyefTN0G8vL+PqH0fk2SGy5hryTDPq21j1JqEvCr1nqlUipIkgyZz/nzpqQqbn+HsDCzLmdO8POLn3hI7SY4QqQ3f/wBTZrAN9/AgAFWRyMyuv37zbSWTZuau03pafysEEJkBcuWQceOkC8fLF1qpozPzK5eNUMsEuvrUKaMmeUuvfZ1EGkrLZIM32AqGG4CtYG8wFKt9WMpPvgjkCRD2omONqXhcWezCAq6O66rePH4SQc/v/Q1dk0Ie4qIMG8+oqJMw75s2ayOSGQGw4fDBx/AjBlmCI4QQoi08cMPZkrh6tXNDBJFi1odUdqLiIBdu+IPsQgNNesKFjTJhpjEQ7Vq4OxsabgiDaV6ksH2JO7AVa11lFIqB5BLa/2vXQ7+kCTJYK1bt0xZWdxqh6NHzToHB/DxiT+Npo9P/GEWs2fDoEEQEmKm3Bw6FLp0seRUhHgoI0bA+++bOx3Nm1sdjcgsoqKgXj2TuAoONj1yhBBCpJ6oKJNcGDMGnn8eZs2yrhdZeqM1/PNP/KTDsWNmnZub6eUQk3S4t6+DvMdPKCNfk7SoZHAD3gM8tdZ9lFJlgfJa66UpPvgjkCRD+nPx4t3eDjFfL18263LkMBUOtWvD7dswaZLpBxHDzQ0mTsw4/+FE1vTff1CunBmzuHy51dGIzObIETMXe926sGKFlKcKIURquXYNOnc2wyTefx+GDUvfU7unB2fPxk86xO3rUK2aSThoLe/x7zV7NvTpA+Hhd5dlpGuSFkmGecBOoLvW2lcp5Qps0VpXS/HBH4EkGdI/re8Os4hJOgQGmpKsxHh5wYkTaRmhEA/H3x9mzoS9e83UUELY27hxZkrLiROhd2+roxFCiMzn9GnT4DE4GMaOhb59rY4oY7p61fRy2LjRJB22bYufXIgrWzZT2ZwVbdtmbrDeK6N87kmLJMMOrbWfUmq31rq6bZk0fhQP5fZtcHU1CYh7KWUyokKkR9u3m0qcfv3MXNRCpIboaGjY0CRm9+4Fb2+rIxJCiMxj1y4zReW1a/DLL9C4sdURZR4REZA9e+Lv8QHq10/TcNKNdesSX55RPvckl2RwstNzRNiqF7TtCUsDieRlhEhatmxmLNLJkwnXeXqmfTxCPIjoaHjrLTO94CefWB2NyMwcHGDqVKhcGV5+GVavNsuEEEKkzJIlZohEgQKwebOZpl3Yj4tL0u/xvbxg7dq0jyk98PbOvJ977PX2ZDCwEiihlJoNrAb62+nYIgsZOtSMRbpX3bppH4sQD2LWLFMSOGwY5M5tdTQis/PygpEjzd2PceOsjibrGD16NL6+vvj4+DBq1KgE67/77juqVatGtWrV8PX1xdHRkUuXLnHw4MHY5dWqVSN37tyJ7i+EsIbWMGqUae7o42PK1yXBkDoSe4/v5maWZ1WZ+ZrYc3aJ/EAdQAFbtdYX7XLgRyDDJTK2uF1WS5SAQoVgxw6YNg169LA6OiHuunbNNHv09DRzSstdZZEWtDZjhteuNb1sypWzOqLMLTg4mE6dOhEQEICLiwtNmjRh/PjxlC1bNtHtf//9d0aOHMmaNWviLY+KiqJ48eJs27YNLy+vtAhdCJGMyEh4+2348Udo29b0VUrsRpewn4w8k0JqycjXJLnhEvZ8S1wccARcgKeVUm3teGyRhXTpYpqdREebEqJNm8w4ZH9/WLjQ6uiEuOvLL+Hff80UV5JgEGlFKdOhO3t2k3iNirI6osztwIED1KlTBzc3N5ycnKhXrx6LFi1Kcvs5c+bQuXPnBMtXr15N6dKlJcEgRDpw9Sq0amUSDB98YHowSIIh9cV9j3/iRMb5MJ2aMus1scvbYqXUVGAq0A5oaXu0sMexhciWDRYtMp1nO3eGv/6yOiIh4NAhU7beo4dp+ihEWipWzCS3tmyB77+3OprMzdfXlw0bNhAaGkp4eDjLly/n1KlTiW4bHh7OypUradeuXYJ1c+fOTTT5IIRIWyEhZkrFP/80s/V8+63cKBDC3uzV+LGO1rqSnY4lRAI5cpj5iuvXN+PmVq2Cxx+3OiqRlb33nrmT/PXXVkcisqoXXzTVXZ98As2bm/HEwv4qVqzIgAEDaNiwITlz5qRq1ao4OSX+9un333/nySefJF++fPGWR0REsGTJEr6WFwwhLLVjh5lBIjwcVq6E556zOiIhMid75e22KKUkySBSlbs7/PEHFC0KzZrBnj1WRySyqmXLzGPwYChSxOpoRFalFIwfbxqOdu8Od+5YHVHm5e/vz65du9iwYQP58uVLsh9DUtUKK1asoEaNGhQuXDi1QxVCJOG33+Dpp02F7ObNkmAQIjXZK8kwHZNoOKiU2qOU2quUeuiPgEqpSkqp+Uqp8Uqp9nGWN1NKLbCta2SnmEUGVKSIGS6RIwc0agRHjlgdkchqIiLg3XehfHl4802roxFZXaFC8NNPZn53uUmees6fPw9ASEgICxcuTDSRcOXKFdavX0/r1q0TrEuqT4MQIvVpbYaVtW0LVaqYGSSk8kuI1GWv4RJTgW7AXiA6BcdpCozRWm9USi0BFtiWPwEMAq4C7wB/puA5RAbn5WWGSzz9tMlCb9oEHh5WRyWyitGj4fBhWLHCzPsshNXatjVDJ774wsw6UaOG1RFlPu3atSM0NBRnZ2fGjRuHu7s7EyZMAKBv374ALFq0iEaNGpEjR454+4aHh7Nq1Sp++umnNI9biKzuzh1zQ+Cnn6B9e5gxA1xdrY5KiMzPLlNYKqXWaK2ftcNxCgGDgXDgCa31k7blNYGxmMqL3lrrBFUSSqk+QB8AT0/PmidPnkxpOCKd27kTnnnGJBg2bIACBayOSGR2586Z6QLr14fff7c6GiHuunTJzO2eP78Zc5wtm9URCSGEta5cgQ4dTIPHDz80UwNKg0ch7CctprD8Ryn1s1Kqs1KqbczjYQ+itT6vtX4d+BC4GGfVR0A9oK5tXWL7TtRa+2mt/QoWLPgo5yAymJo1YelSOH4cmjQx0xEJkZo++sgMlxg50upIhIgvXz6YPBmCg2HIEKujEUIIa508CU8+CWvWwJQpZjiZJBiESDv2+u/mCtwGGpGCKSyVUt5KqYnADOA7pdRM26qFwCRgMrDSLhGLTOHpp2HBAggKMvMd37xpdUQis9q6FaZPN7NKlCljdTRCJNSsGfj7m+nYtm61OpqMZ/Zs8PY2H0S8vc3PQoiMJyDATHt++rSZQaJnT6sjEiLrsctwifTGz89P79ixw+owRBqaMwe6dDFvshctAmdnqyMSmUl0NNSpY96wHDwIuXJZHZEQibt6FSpXNtOr7t4Nbm5WR5QxzJ4NffqYae1iuLnBxInmb4sQImP49Vfo1s00Cl+2DCpWtDoiITKvVBsuoZTqb/s6Rin1w72PlBxbiIfRubOZym3ZMujRw3woFMJepk+H7dvNHWJJMIj0LHdumDoVDh2CQYOsjiZ90xrOnDHD7l5/PX6CAczPcg2FyBi0Nn+j27eHatVMNZckGISwTkqHSxywfd0B7EzkIUSaeeUV+OYb+PlneOMN8wdHiJS6csU0jHr8cbmjKTKGBg3Mh+ZRo2D9+offf/To0fj6+uLj48OoUaMS3WbdunVUq1YNHx8f6tWrF7t85MiR+Pj44OvrS+fOnbl169ajnYSdRUebKY/nzze9VZo0gcKFTePgli3N//PEhISkbZxCiId3546pRBowADp2hNWrzfS+QgjrpGgKS611TH/1cK31L3HXKaVeSMmxhXgUAwbA5cswbBjkzQtffWV1RCKj++ILuHDBVMkoZXU0QjyYYcPMWOSXX4Y9eyBnzgfbLzg4mEmTJhEQEICLiwtNmjShefPmlC1bNnabsLAwXnvtNVauXImnpyfnz58H4MyZM/zwww/s378fV1dXOnTowNy5c+nRo0cqnGHS7tyBAwfMcJFdu8zXwEC4ds2sd3ICHx8z3Wf16ubx4otw6lTCY5UokaahCyEeUlgYvPAC/PWXqTz6/HNp8ChEemCv/4YfPeAyIVLd11+bqoavvzalc0I8qn/+gdGjTTM9v0RHnAmRPuXIYYb5nDgBH3zw4PsdOHCAOnXq4ObmhpOTE/Xq1WPRokXxtvn5559p27Ytnp6eABSKc8swMjKSmzdvEhkZSXh4OMWKFbPH6SQpPNyURY8fb+5k1qplhjRVrWqGzk2eDJGRZoz25Mlm6uPr103SYepUePNNeOop8/cisf4VZctKVZx4OI9aCXTw4EGqVasW+8idO3eS+wvj+HEzg8T69TBtGnz5pSQYhEgvUlTJoJRqCjQDit/TgyE3EJmSYwvxqJSCceNM+euAAaaioU8fq6MSGY3W8M475sPa0KFWRyPEw3vySXj/fRg+HNq0gUaN7r+Pr68vgwYNIjQ0FFdXV5YvX47fPRm2Q4cOcefOHerXr8+1a9d4++236d69O8WLF6dfv354enri6upKo0aNaPQgT/qALl82yYG4FQr//HO3B4+7O9SoYRIH1aub78uWBUfH+x87ZijUoEFmiISnp2mguXQpDBxokhBC3E9KKoHKly9PYGAgAFFRURQvXpw2bdpYcRoZwrZtZlaxiAj480+oX9/qiIQQcaUoyQCcxfRjaEX8HgzXgHdTeGwhHpmjI8yYYTqt9+0LefKYcXpCPKilS+GPP2DkSBnbKTKuL74wQ338/WHvXpN0TU7FihUZMGAADRs2JGfOnFStWhUnp/hvFSIjI9m5cyerV6/m5s2bPP7449SpU4eCBQuyePFijh8/Tt68eXnhhReYNWsWXbt2fei4z527m0iISSqcOHF3ffHiJpHQvv3dIQ+enikb0tSlS/y+K1rDq6+aXj/u7tC//6MfW2QNcSuBgNhKoP5xfnmSqwSKsXr1akqXLo2Xl1faBJ7B/PILdO8OxYrB8uVQvrzVEQkh7pXSngxBQJBS6met9R07xSSEXTg7mz9ETZpA166mhLZZM6ujEhnB7dvw7rumM/Xrr1sdjRCPLnt2M2zi8cdNZc7//nf/ffz9/fH39wdg4MCBeHh4xFvv4eFBgQIFyJEjBzly5ODpp58mKCgIgJIlS1KwYEEA2rZty+bNm5NNMmgNx47Fr07YvRv+++/uNmXLQu3aZhhcTEIhLRJ/UhUnHlZKKoHimjt3Lp07d07L0DMErU3Sb+BAU6n1229QoIDVUQkhEpPSSgYAJMEg0is3N/j9d3j2WWjXzpTU1a1rdVQivRs5Eo4eNb8vzs5WRyNEytSqZWZU+PJLaNvWlBgn5/z58xQqVIiQkBAWLlzIli1b4q1v3bo1b7zxBpGRkURERLBt2zbeffddbty4wdatWwkPD8fV1ZXVq1fH+4AVGXm3IWNMUiEw0FScgWnIWKkSNG16N5lQtaqZltMq91bF5c4NnTpZF49I31JSCVSuXDkAIiIiWLJkCV/LGJ14IiJMZdHUqaZR65QpJokqhEif7JJkECI9y5PHdFl/+mnTTXztWjNWV4jEnDljPow9/zw0bGh1NELYxyefmIRrnz7mDmD+/Elv265dO0JDQ3F2dmbcuHG4u7szYcIEAPr27UvFihVp0qQJVapUwcHBgV69euHr6wtA+/btqVGjBo6OTnh6Vgf68MorJqmwdy/EzGjp6moSCF263O2f4OOTPj80xFTFNW1qGkjmzi1VcSJpj1oJFJNkWLFiBTVq1KBw4cJpHnt6dfmyGRq1Zg18+ikMGSKzPQmR3imdCdsm+/n56R07dlgdhkhnTp0yXcTDw2HjRqhQweqIRHrUtSssWAD790OpUlZHI4T9BAWZqoa2bWHuXPsdNyws8YaMUVFmfd68JokQU51QvboZQ/0gDRnTk6tX4ZlnzGvDH3+YxLUQ94pbCdSoUSO2bNmCu7t77PoDBw7wxhtv8McffxAREUHt2rWZO3dubKKuU6dONG7cmJdfftmqU0hXjh2D5s1NdeHkyaYXgxAifVBK7dRaJzr/ml0qGZRSvwP3ZiuuYJpC/qS1vmWP5xEiJUqUMPMo161r7lBv2gTSU0nE9fffMHu26TAvCQaR2VStCoMHw8cfm0RDhw4Pf4x//43fO2H3bvMhIEaxYiaJ0KbN3cSCl1fmuOuYO/fdqriWLaUqTiQuJZVA4eHhrFq1ip9++snKU0g3Nm+G1q3NDDJ//SWJPSEyErtUMiilRgMFgTm2RR2BfwFXILfWuluKn+QhSCWDSE5QkJnqqGBBU9EgFYkCzF3X2rVNw7mDB83UlUJkNpGR8MQT5m68u7sZHuTpaaZpvXdmhePHEzZk/Pffu9uUKRO/OqF69azxenr6tKmKu3FDquKESC1z50KPHuYG0fLlpgGsECJ9SfVKBqC61jpufvF3pdQGrfXTSql9dnoOIeyialUzpVvDhtC4Maxbd/9p3UTmN22a+TD188+SYBCZl5MTvPCCmY7xxg2z7ORJ6NXLVHe5ut5NKFy5YtY7OpqGjI0a3a1OqFrV9LvJijw8YNUqqYoTIjVoDV99ZSqu6taFRYuS7yEjhEif7FXJcABorLUOsf3sCazUWldSSu3WWldP8ZM8BKlkEA9i1Sozzq9WLTOLgHywzLrCwsxdkgoVYMOGzFHaLURSvL1NYiEx2bObBEJMZUKNGuDrmz4bMlotpiquQAGTaMgKVRzi7pC6kJDEq4DEo4uIMM1pp083/ZEmT4Zs2ayOSgiRlLSoZHgf2KSUOgoooCTwmlIqBzDdTs8hhF01bAhz5phxyW3bwpIl8scsqxoyBEJD4YcfJMEgMr+QkMSXKwXXrplqB3F/91bFrV1rhqCIzGv2bPMhODzc/HzypPkZJNGQUpcumfdi69ebv8mffip/j4XIyOw2u4RSKhtQAZNk+MfKZo9SySAextSp4O9vpkeaOzfjdTwXKbN/P1SpYsrFbb25hMjUkqpk8PKCEyfSOpqML6Yqzs/PfC9VcZlXUv93cuaE0aNN9Y+PD7i4pHloGdqRI+b/0IkT5j2ZJGyEyBiSq2RwsOPz1AR8gCpAB6WUTDIjMoSePWHECDNt4SuvmPGAImvQGt5+G3Llgi+/tDoaIdLG0KHg5hZ/mZubWS4eXkxV3LZt5k7s7dtWRyRSS1JVQNevm5sVNWqYhEONGubnsWPNrEXXr6dtnOnN6NGj8fX1xcfHh1GjRsVbt2kT1Ky5jsOH8+DpWY3vvqvG559/Hrt+5MiR+Pj44OvrS+fOnbl1SyasEyIjsNcUljOB0kAgYJsZGw3MsMfxhUht774Lly/DF1+YZmbDh0uZXlaweLGZFuuHH8y4aiGygpi7hDKu3H7atYNJk8wHyy5dTFWcDDvJXPbtAwcHMxPRvTw9zd+SmKapu3bB77+bu/Jg3k+UKxe/10n16lmjoWFwcDCTJk0iICAAFxcXmjRpQvPmzSlbtiw//wwvvwyFCkGNGnVZu3ZpvH3PnDnDDz/8wP79+3F1daVDhw7MnTuXHj16WHMyQogHZq8/gX5AJW2vsRdCWOCzz0wDwBEjzLjajz+2OiKRmm7eNMklHx949VWroxEibXXpIkkFe+vZ08zI8d57pipu8mRJVmcWf/5pZmXJmdNUqsS9me7mZmZDKFvWPDp0MMu1hrNn408Du2WLSUDFKFHibsIhJvlQvHjm+r05cOAAderUwc1WPlWvXj0WLlzE7dv9GTwY6tUz/2cmTkx8/8jISG7evImzszPh4eEUK1YsDaMXQjwqeyUZgoEiwDk7HU+INKcUjBpl3iR+8omZ1vKNN6yOSqSW77834z9Xr5Y7jkII+3j3XZOs/vxz8zdEquIyvp9+gtdfNwnppUvNDEQPUgWklEkYFC8OLVrcXR4aCoGB8ZMPS5bcHapZoEDCiocyZUwVRUbk6+vLoEGDCA0NxdXVlWXLlhMW5sfBg9C9u6kA2rwZtmzZQtWqVSlWrBjDhw/Hx8eH4sWL069fPzw9PXF1daVRo0Y0atTI6lMSQjwAe01huRaoBgQAsaMRtdatUnzwRyCNH0VKREaaJpCLF8PMmWYaJZG5nDplpqts2tT04hBCCHuJ6fUyZowZgidVcRlTdDT0728S0s2amQqEXLlS57lu3IA9e+4mHXbvhr174c4dsz5nTqhW7W7yoXp1qFQp4zSYnDJlCuPGjSNbtpycOFGJf/915csvRzJwoEnGXL16FQcHB3LmzMny5ct5++23OXz4MJcvX6Zdu3bMmzePvHnz8sILL9C+fXu6yhszIdKF5Bo/2ivJUC+x5Vrr9Sk++COQJINIqVu3TKfj9evh11+hdWurIxL21Lkz/PYbHDhguoULIYQ9RUebseYzZpieL2++aXVE4mGEh5sbDIsWmYrGkSPTvuItIsLMfhS3z0NQ0N0mki4u4Osbv+qhSpX0O7vJ4cPmfdWxYwPp3t2DqVNfS3Jbb29vduzYwdq1a1m5ciVTpkwBYMaMGWzdupUff/wxrcIWQiQjuSSDXV4yrUomCJFasmc3H0Kfew46doTly+HZZ62OStjDxo3mjtSnn0qCQQiROhwcYMoUuHoV3nrLDJ3o1s3qqMSDOHcOWrWCnTvNtJRvvWVNHC4upnqhWjWTsAKTvDpyJP5Qi8WLze8amN+7cuXi93moXh3y5bPmHGIsXnyenj0LoXUIxYsv5Pvvt8Rb/++//1K4cGGUUgQEBBAdHU3+/Pnx9PRk69athIeH4+rqyurVq/HzS/TzjBAinUlRJYNSapPW+iml1DXMbBKxqwCttc6d0gAfhVQyCHu5dAmeftqM3V+zBmrXtjoikRJRUVCzpvl3/eefhNP4CSGEPUlVXMayd6/597p0yUxL2rKl1RHdn9Zw+vTdioeYBMSpU3e38fKKn3SoUQOKFUubfiEzZ8JLL9XF2TmUUqWcGTt2BA0aNGDChAkA9O3bl7FjxzJ+/HicnJxwdXVlxIgRPPHEEwAMHjyYefPm4eTkRPXq1Zk8eTLZsmVL/cCFEPeV6sMl7EUpVQkYAoQCq7XWC2zLiwIfYZIXc7XWfyd3HEkyCHs6exbq1jXNvNavN+WJImOaMMHMJDFv3t0O4EIIkZquXTNVcYGBsGKFVMWlVytXmr8LuXKZBo/Vq1sdUcpcvGh+5+L2eTh06G6DyYIF4zeXrF4dSpe2X4NJrWHIENME9ZlnTJLN3d0+xxZCpA9pkmRQSjkChYkzBENrHfKQx3gfCNBab1RKLYlpHKmU+h64BeQERmitTyZ3HEkyCHs7fhyefNJ8v2kTlCplbTzi4V26ZMpIfX1h7Vrp+C6ESDuXLpmp+o4fNzPaPPaY1RGJuMaPN70XqlQxCYbixa2OKHVcv276OsSteNi3726DyVy54jeYrFEDKlYEZ+eHe55bt8DfH37+2Qz1mDAh4zSpFEI8uLRo/PgmMBj4D4i2LdZa6yoPeZxCtuOEA09orZ+0LV8JvA2cB77TWvdKZN8+QB8AT0/PmidPJpuHEOKh7dtnhk7kyWMSDTJVc8by5pvw44/mjVWVh3plEkKIlDt3Dp56Ci5fNtMgSlWc9aKi4IMPTGPHFi3MEImcOa2OKm1FRJj3N3H7PAQFmRkvALJlM7+rcSseqlRJONxw9uy7U3u6uMDt2/DVV/Dhh5LUFyKzSoskwxHgMa11aIoPRmxVxEKtdWvbz5OBgcBlYJrWOtm5a6SSQaSW7dtNqauXlxk6kT+/1RGJB7F3r3lj9MorMG6c1dEIIbKq48dNokFrqYqz2o0b8OKLsGSJae44YgQ4OlodVfoQFWVmg7i3z8OlS2a9g4OZBjom6RAaCqNGwc2bd4/h4gJTp0KXLpacghAiDaRFkmEt0FBrHZnC43hjkgk5gPHAK1rrbrZeDf0xzSUnS08GYaW1a6FpU6haFf76K/XmzRb2oTU0aGDuzBw6JIkhIYS1pCrOemfPmqaOgYFmBok33rA6ovRPa9NMMm7Fw+7dpulkUry8TONsIUTmlBZJhilAeWAZcDtmudZ6RIoP/ggkySBS25Il0LateaO4fLmZ8lKkTwsWwAsvmAqG15KellsIIdJMTFWcp6cZOiHJz7QTFGSGRoSFmemMmze3OqKM7cIFKFz4bkPJuJQy024KITKn5JIMduohSwiwCnABcsV5CJEptWoF//ufqWro1Olu0ySRvoSHw/vvm/GjffpYHY0QQhi1aplk9dGjpjLu2jWrI8oali83w1XAVJFIgiHlChY0ybLEJLVcCJH5Od1/k/vTWn9mj+MIkZF07QpXrpgyy549Yfp0+039JOzju+9ME6oZM8DJLq92QghhH888A7/8Am3aQOvWUhWX2saOhbffNrMn/P67DFOxp6FDTSI/PPzuMjc3s1wIkTWl6CORUmqU7evvSqkl9z7sEqEQ6djrr8OXX8KsWebNi51mhBV2MHjwaD77zJfcuX3YvXtUkttt374dR0dHFixYAMDBgwepVq1a7CN37tyMGpX0/kII8ahatrxbFdexo1TFpYaoKPP3+c03zTCJDRskwWBvXbrAxImmB4NS5uvEidL0UYisLKX39mbavg5PaSBCZFQDB5opyb7/Htzd4fPPrY5IBAcHM2rUJLJlC2D3bhf69GlC8+bNKVu2bLztoqKiGDBgAI0bN45dVr58eQIDA2PXFy9enDZt2qRl+EKILESq4lLP9evQuTMsXQrvvmuq22QGidTRpYskFYQQd6UoyaC13mn7ut4+4QiR8Shl3riEhcEXX0DevPDee1ZHlbX98ssBrl6tw2efuVGqFNSrV49FixbRv3//eNuNGTOGdu3asX379kSPs3r1akqXLo2Xl1dahC2EyKJef938Dfn4Y/M35IcfzN8W8ehOnzaVInv3wo8/wquvWh2REEJkHXYZpayUKgt8DVQCYkcUaq1lBmiRJSgFP/0EV6+aRoN585o7UiLtRUbCnDm+ODkNomfPUMLDXVm+fDl+fvGb3545c4ZFixaxZs2aJJMMc+fOpXPnzmkRthAiixs40CQahg83f0O++MLqiDKu3bvN0Ihr10wVQ5MmVkckhBBZi71aoU0DBgMjgWeAlwHJwYssxdHR9Ga4ehV694bcuaF9e6ujynp++gkOH67Iq68OoFWrhuTMmZOqVavidE/nx3feeYdhw4bhmETtbEREBEuWLOHrr79Oi7CFEFmcUvDttybR8OWXJtHw/vtWR5Xx/P67GSKRLx/8/TdUrmx1REIIkfXYK8ngqrVerZRSWuuTwBCl1EZM4kGILMPFBX79FRo3hhdfhFy5zPcibYSGwiefmPnnx43zRyl/AAYOHIiHh0e8bXfs2EGnTp0AuHjxIsuXL8fJyYnnn38egBUrVlCjRg0KFy6cpucghMi6lIIJE0yPhn79TKLB39/qqDKOH34wvRdq1DBThBYtanVEQgiRNdkryXBLKeUAHFZKvQGcAQrZ6dhCZCg5cpjyzGeegbZtYdUqeOIJq6PKGj75xFSSjB4NFy6cp1ChQoSEhLBw4UK2bNkSb9vjx4/Hft+jRw9atGgRm2AAmDNnjgyVEEKkuZiquGvXzLSAefJIVdz9REaa5MLYsWZK0Jkzzd9iIYQQ1rBX/+J3ADfgLaAm0BV4yU7HFiLDyZsXVq6E4sWhWTMICrI6oswvKMgMlXjtNfD1hXbt2lGpUiVatmzJuHHjcHd3Z8KECUyYMOG+xwoPD2fVqlW0bds2DSIXQoj4YqriHn/cVMX98YfVEaVf165Bq1YmwdCvHyxYIAkGIYSwmtJap+wASjkC32itP7BPSCnn5+end+zYYXUYQhASAk89Bbdvw8aNUK6c1RFlTlpD/fqwbx8cPmymEhVCiIwuLMxUxR08aKrinnzS6ojSl1OnTIPHfftg3Dh45RWrIxJCiKxDKbVTa+2X2LoUVTIopZy01lFATaVksiUh7uXpad4Yag0NG5o3RML+5s+HDRtg6FBJMAghMo+8eU0VQ4kS0Lw5BAZaHVH6sXMnPPYYnDgBy5dLgkEIIdKTlA6XCLB93Q0sVkp1U0q1jXmk8NhCZArly5s3iWFhJtFw/rzVEWUOs2eDtzc4OECXLiah06uX1VEJIYR9FSpkktW5c5tGwocOWR2R9RYvhqefNsNK/v4bGjWyOiIhhBBx2asnQz4gFHgWaAG0tH0VQgDVq5tmkCEhZr7uK1esjihjmz3bNEQ7edJUiURFwX//wdy5VkcmhBD2F7cq7rnnsm5VnNYwcqRp7ujjA1u3mh48Qggh0peUJhkKKaXeA4KBvbav+2xfg1N4bCEylbp1TSOvvXuhZUsID7c6ooxr4MCE1+/2bRg0yJp4hBAitcVUxV25kjWr4iIjTWPf994zMzetWwdFilgdlRBCiMSkNMngCOS0PXLF+T7mIYSIo2lTMzXZpk1mSrKICKsjSv+0NmNu580zby6ffNJUhCQmqeVCCJEZVK8Oy5Zlvaq4q1dNg8cJE2DAANOHx83N6qiEEEIkxSmF+5/TWn9ul0iEyCI6djRvmPr0ge7dTem/o6PVUaUfYWGwfTts22YeAQF379hlzw41a0KuXGbasnt5eqZpqEIIkeaeegoWLjTTNrZoYaobMvMH7pAQc54HDsCkSdJ7RwghMoKUVjLIjBJCPILeveHbb83d+ddeM3frU2L06NH4+vri4+PDqFGjEqxfvHgxVapUoVq1avj5+bFp0yYADh48SLVq1WIfuXPnTnT/1BIRATt2wI8/wksvQYUKZnaIRo3gk0/g6FFo1sys37nTJGc2bYLx4xO+qXZzM7NLCCFEZtekiamK+/vvzF0Vt2OHmUEiJARWrJAEgxBCZBRKp+DTjVIqn9b6kh3jsQs/Pz+9Y8cOq8MQ4r4GDoSvv4b+/WHYsEc7RnBwMJ06dSIgIAAXFxeaNGnC+PHjKVu2bOw2169fJ0eOHCil2LNnDx06dOCff/6Jd5yoqCiKFy/Otm3b8PLySslpJUprOH78bnXCtm2wa5fppQBQuLB5M/nYY1C7NtSqBXnyJH282bNND4aQEFPBMHSomWVCCCGyikmTTFVcx46Zrypu0SLzml64sBkiUqmS1REJIYSISym1U2vtl9i6FA2XSI8JBiEykqFDzfCAb781d/A//PDhj3HgwAHq1KmDm+3Wfr169Vi0aBH9+/eP3SZnzrstUm7cuIFSCYuQVq9eTenSpe2WYLh8+W4yISDAPC5cMOtcXc2whzfeMAmFxx4ziYJEwkpSly6SVBBCZG29e5u+DB98YKa4/Omnh3sdTY+0hu+/N8n32rXNdJWFC1sdlRBCiIeR0p4MQogUUArGjjVvEj/6yNy5f/XVhzuGr68vgwYNIjQ0FFdXV5YvX46fX8Kk4qJFi/joo484f/48y5YtS7B+7ty5dO7c+ZHOIyICgoLi91GImctdKahY0YypjalS8PUFZ+dHeiohhBBx9OtnkrpffQV585qquIyaaLhzxySfJ06EF16A6dNNUloIIUTGkqLhEumVDJcQGc2dO2ZKrmXLTMnrw37WnzJlCuPGjSNnzpxUqlQJV1dXRo4cmei2GzZs4PPPP+evv/6KXRYREUGxYsXYt28fhe9zy0hrOHbsbkJh2zbYvfvumOAiRe4Oe3jsMfDzM3fYhBBCpA6tzYfzH380yYaPPrI6ood35YpJLKxaZYYSfvEFOKS0c5gQQohUk2rDJYQQ9uHsbKbkatrUzDiRK5e58/+g/P398ff3B2DgwIF4eHgkue3TTz/N0aNHuXjxIgUKFABgxYoV1KhRI9EEQ2howtkeQkPNOjc3M+zhrbfuJhU8PDLuXTQhhMiIlIIxY8zwu4EDTUXDw1bFWenECfM37+BBmDoVXn7Z6oiEEEKkRLpKMiilKgFDgFBgtdZ6QZx1lYHVQCmt9XVrIhQi9bi6wpIl0KCBuZuzciXUq/dg+54/f55ChQoREhLCwoUL2bJlS7z1R44coXTp0iil2LVrFxEREeTPnz92/Zw5c+jcuTO3b0Ng4N1eCtu2wZEjZhulTOOt1q3vJhR8fMApXb2KCCFE1uTgAP/7n5ne9/XXzfC7F1+0Oqr727bNTMcZEWGm43z2WasjEkIIkVLp7eNBU2CM1nqjUmoJsABAKeUM9AJWWBmcEKktd24zTdfTT0PLlrBmjRlucD/t2rUjNDQUZ2dnxo0bh7u7OxMmTACgb9++/Prrr8yYMQNnZ2dcXV2ZN28eoDh8GDZsCGfx4lUcPvwTffveHfZQtKhJJPj73x32kCtX6p27EEKIlHF2NlMjN2tmquJy5364qri0tmABdOtm/t6sX2+mMRZCCJHxpaueDEqpQsBgIBx4Qmv9pG35R8AvwMfAG/erZJCeDCKjO3MGnnrK3JHasME+U3ddvJhwtodLtvlh3NxMEiFuL4XixWXYgxBCZETXrpmKgODgh6uKSytam1mVPvwQnngCfvsNCha0OiohhBAPI7meDOkqyRBDKeUILNRat7b9PA84BzQCpmitv09knz5AHwBPT8+aJ0+eTMOIhbC/I0dMosHJCTZtAm/vB9/31i0z7CFuH4WjR806pcwwh7gJhUqVZNiDEEJkJhcvmuTCqVMPXhWXFu7cMf0ipkyBTp1g2jTInt3qqIQQQjysDJNkUEp5AwOBHMB44BWtdbc46/+HVDKILGTvXvMm0dkZXFxMhYOnJwwdCl26mG2io01CIu5sD0FB5o0cmIqE2rXvJhRq1pRhD0IIkRWkRlVcSoSFQfv2sHo1fPwxfPaZzCAhhBAZVYZJMtiLJBlEZvLZZzBkSPxl2bKZmSjCw02VQliYWZ4jB9SqFT+pULx4WkcshBAivTh61CQaHB0fvirOno4fh+bNTVJ80iR46SVr4hBCCGEfkmQQIgPz9oakRv9UqRI/oVCpknkjKYQQQsSIqYrLlw82bjSNFtPSli1mZqLISFi4EOrXT9vnF0IIYX/JJRlkFLYQ6VxISOLLlTLDIoQQQojkVK4My5fDc89B48awbp1JOKSF+fPNTBceHrBsGZQvnzbPK4QQwjoyEk6IdM7T8+GWCyGEEPeqUwcWL4aDB82whevJdrdKOa3hq6+gY0czjG/rVkkwCCFEViFJBiHSuaFDzRSTcbm5meVCCCHEg2rQAObOhe3b4fnn4fbtlB1v9OjR+Pr64uPjw6hRo2KXR0SAvz8MGjSbvHmrEBZWhVatniDIVn538OBBqlWrFvvInTt3vP2FEEJkbJJkECKd69IFJk4ELy8zRMLLy/wcM7uEEEII8aDatIGpU80MD507mz4JjyI4OJhJkyYREBBAUFAQS5cu5fDhw1y+DE2amKkpe/YsydGj69m7dw+ffPIJffr0AaB8+fIEBgYSGBjIzp07cXNzo02bNnY8SyGEEFaSngxCZABdukhSQQghhH10725mJXr7bejdG6ZMefipJA8cOECdOnVws5Xa1atXj8mTF7F4cX+OHYMZM6Bbtydit69Tpw6nT59OcJzVq1dTunRpvLy8UnJKQggh0hFJMgghhBBCZDFvvWUSDYMHQ548MHKkqZZ7UL6+vgwaNIjQ0FBcXV2ZN285R4/64eYGf/0FTz8df/spU6bQtGnTBMeZO3cunTt3TtnJCCGESFckySCEEEIIkQV98glcvgyjRoG7u0k4PKiKFSsyYMAAGjZsyM2bOTl0qCq5czuxdSuULRt/27Vr1zJlyhQ2bdoUb3lERARLlizh66+/TvnJCCGESDckySCEEEIIkQUpBd9/byoahgyBvHnNEIoH1bOnP+fO+fPJJ1CixEDefNMjQYJhz5499OrVixUrVpA/f/5461asWEGNGjUoXLhwSk9FCCFEOiJJBiGEEEKILMrBASZNgqtX4Z13zNCJHj3uv19EBHTrdp758wvRpk0I+/YtpFevLfG2CQkJoW3btsycOZNy5colOMacOXNkqIQQQmRCkmQQQgghhMjCnJzg55+hZUsz9WSePGYWiqRcugRt28L69e0oWDCUo0ed+fHHcbi7uzNhwgQA+vbty+eff05oaCivvfaa7Xmc2LFjBwDh4eGsWrWKn376KdXPTwghRNpSWmurY7A7Pz8/HfNHTAghhBBC3N+NG9CwIezcCcuWwXPPJdzmyBFo1gxOnjTTVL74YtrHKYQQwnpKqZ1aa7/E1j3khEVCCCGEECIzypHDJBcqVIDnn4etW+Ov37QJ6tQxlQxr1kiCQQghROIkySCEEEIIIQAzy8Qff0DRovDss1CsmOnbUKAA1K8P+fOb5MOTT1odqRBCiPRKkgxCCCGEECJWkSLw+utw6xacOwdaQ2io+fr++1CmjNURCiGESM8kySCEEEIIIeIZNcokFeKKjoavvrIkHCGEEBmIJBmEEEIIIUQ8ISEPt1wIIYSIIUkGIYQQQggRj6fnwy0XQgghYkiSQQghhBBCxDN0KLi5xV/m5maWCyGEEMmRJIMQQgghhIinSxeYOBG8vEAp83XiRLNcCCGESI6T1QEIIYQQQoj0p0sXSSoIIYR4eFLJIIQQQgghhBBCCLuQJIMQQgghhBBCCCHsQpIMQgghhBBCCCGEsAultbY6BrtTSl0ATlodx0MqAFy0Ooh0Rq5JQnJNEpJrkji5LgnJNUlIrklCck0SkmuSkFyTxMl1SUiuSUJyTRLKiNfES2tdMLEVmTLJkBEppXZorf2sjiM9kWuSkFyThOSaJE6uS0JyTRKSa5KQXJOE5JokJNckcXJdEpJrkpBck4Qy2zWR4RJCCCGEEEIIIYSwC0kyCCGEEEIIIYQQwi4kyZB+TLQ6gHRIrklCck0SkmuSOLkuCck1SUiuSUJyTRKSa5KQXJPEyXVJSK5JQnJNEspU10R6MgghhBBCCCGEEMIupJJBCCGEEEIIIYQQdiFJBosppZ5XSk1SSi1WSjWyOp70QClVUSk1QSm1QCn1qtXxpBdKqRxKqZ1KqRZWx5JeKKXqK6U22n5f6lsdT3qglHJQSg1VSo1RSr1kdTzpgVKqru13ZLJSarPV8aQHSilPpdQSpdRUpdSHVseTHiilKiml5iulxiul2lsdj5WUUqWUUlOUUgtsP79oe68yQymVw+r4rJLIdXlPKbVLKeVrdWxWSeSaTLM9piulHK2OzwqJXJP+tr8/i5VS+ayOzwr3XhPbMn+l1Hor47JSIr8nK2zvVYZbHZs9SJLBYlrr37TWvYEeQEeLw0kXtNYHtNZ9gQ5AppnKxQ4GAPOtDiKd0cB1IDtw2uJY0ovWQHHgDnJNANBab7S9piwFplsdTzpRDlimte4JVLI6mHSiKTBGa/0q0N3qYKyktT6mtfaPs6iN7b3KfKCtRWFZ7t7rorUeASyxMCTLJXJNXtZavwyEAcUsC8xCiVyTb7XWvYB1QAnLArPQvddEKVUSyA9csC4qayXyOhuO+Wz+n0Uh2ZUkGdKPj4FxVgeRXiilWgGbgNVWx5IeKKWeA/aTSV547Gij1ropJgHzmdXBpBPlgS1a6/cAqQSK70VgjtVBpBO7gU5KqTXAWquDSSdmYq7Jd5g3v+KumAZeJwEPKwMR6Z9SqgKQTWt9yupY0gOllItSajLQHPN/KEtTSjkA7wOjLA4lvXlBa90HKKqUqmJ1MCklSQaLKWMYsEJrvcvqeNILrfUSrfUTQBerY0knngHqYD4k9ba9QGd5Wuto27eXgWxWxpKOnMZcD4AoKwNJT5RSnsAVrfVVq2NJJ14GBmutn8W88c3ytNbntdavAx8CF62OJ53yRCqkRDJsQ0f6AW9ZHUt6obWOsFUyTMRUG2Z1pYCCwLdAVaVUM4vjSRfivKc9D+S0MhZ7cLI6AMGbwHNAHqVUGa31BKsDspptbH1bzIfG5ZYGk05orQcBKKV6ABfjvBBlaUqptkBjIC8w1tpo0o2FwBilVF1gg9XBpCP+wDSrg0hHVgJDlFIvAicsjiVdUEp5AwOBHMB31kZjLaVUfmAoUF0p9RHwm1JqPOAKvG5pcBZK5LqcBVoAFZVSX2qt91oaoAXuuSaDgDeAFcAPtmuS5ZJSifye5AXcAHfMHfwsJ+41wdyx72hb7qG1zpLv9RP5PamAGTLhhEnAZGgyhaUQQgghhBBCCCHsQkquhRBCCCGEEEIIYReSZBBCCCGEEEIIIYRdSJJBCCGEEEIIIYQQdiFJBiGEEEIIIYQQQtiFJBmEEEIIIYQQQghhF5JkEEIIIQQASimtlPo+zs/9lFJD7Pwcmx9gmxNKqQKJLB+ilOpnz3iEEEIIYV+SZBBCCCFEjNtA28Q+4NuL1vqJ1Dp2cpRSjlY8rxBCCJHVSJJBCCGEEDEigYnAuw+ysVLqf0qpH5RSm5VSx5RS7eOs+0AptV0ptUcp9Vmc5ddtXx2UUj8qpfYppZYqpZbH3R94Uym1Sym1VylVIc7yqkqpNUqpw0qp3rZjKaXUd0qpYNv2HW3L6yul1iqlfgb2KqVyKKWWKaWCbNt2fOQrJYQQQohEOVkdgBBCCCHSlXHAHqXUtw+4fVHgKaACsARYoJRqBJQFagMKWKKUelprvSHOfm0Bb6AyUAg4AEyNs/6i1rqGUuo1oB/Qy7a8ClAHyAHsVkotAx4HqgFVgQLAdqVUzHPVBny11seVUu2As1rr5gBKqTwPeI5CCCGEeEBSySCEEEKIWFrrq8AM4K0H3OU3rXW01no/UNi2rJHtsRvYhUlAlL1nv6eAX2z7/gusvWf9QtvXnZhkRIzFWuubWuuLtn1q2441R2sdpbX+D1gP1LJtH6C1Pm77fi/wnFJqmFKqrtb6ygOeoxBCCCEekCQZhBBCCHGvUYA/plrgfm7H+V7F+fq11rqa7VFGaz3lnv0UyYs5bhTxKy/1Pdvp+xzrRuyGWh8CamKSDV8rpT69TwxCCCGEeEiSZBBCCCFEPFrrS8B8TKLhUfwB9FRK5QRQShVXShW6Z5tNQDtbb4bCQP0HPHZrpVR2pVR+2z7bgQ1AR6WUo1KqIPA0EHDvjkqpYkC41noWMByo8fCnJoQQQojkSE8GIYQQQiTme+CNR9lRa/2nUqoisEUpBXAd6Aqcj7PZr0ADIBg4BGwDHmT4QgCwDPAEvtBan1VKLcL0ZQjCVDb011r/e0/DSDD9H75TSkUDd4BXH+X8hBBCCJE0pfW9VYdCCCGEEKlPKZVTa33dVpUQADxp688ghBBCiAxKKhmEEEIIYZWlSqm8gAumKkESDEIIIUQGJ5UMQgghhEiWUmoQ8MI9i3/RWg+1Ih4hhBBCpF+SZBBCCCGEEEIIIYRdyOwSQgghhBBCCCGEsAtJMgghhBBCCCGEEMIuJMkghBBCCCGEEEIIu5AkgxBCCCGEEEIIIexCkgxCCCGEEEIIIYSwC0kyCCGEEBmIUqq+Uup0nJ/3KaXqP8Jx6iqlDtoztvs833WlVKm0er4kYnhVKfWfLZb8djjeCaXUc/aI7T7P88DXTimllVJlkljXQym1yb7RCSGEEPFJkkEIIUSGZvugF6GUKnDP8kDbBy5vi0JLE1prH631uvttd++HT631Rq11+dSISSm1TinVK+4yrXVOrfWx1Hi+B4zJGRgBNLLFEmpVLA/L6msnhBBCPAxJMgghhMgMjgOdY35QSlUGXK0L58EppRytjiGLKAxkB/Y97I7KkPdMcSilnKyOQQghRPokfzCFEEJkBjOB7nF+fgmYEXcDpVQ2pdRwpVSIrWR+glLK1bbOXSm1VCl1QSl12fa9R5x91ymlvlBK/a2UuqaU+vPeyok429ZXSp1WSg1USl20VVp0ibP+f0qp8Uqp5UqpG8AzSqliSqlfbc9/XCn1VpztXW37XFZK7Qdq3fN8sSX7SilH2/MetcW5UylVQim1wbZ5kK30vmMiwy5OKKX6KaX2KKWuKKXmKaWyx1nfXyl1Til1VinVK6myfKXUUKAuMNb2XGNty2O3t53Pj0qpFbZt/lZKFVFKjbKd5z9Kqepxjpnc9amtlNqhlLpq+3cdkUhM5YCYoSFhSqk1tuVPKKW22853u1LqiXv+zYcqpf4GwoFkhysopSrYYuuUxHqtlOqrlDpsO8dxSikVZ31PpdQB27o/lFJe9+wbc+3yK6V+t53vdqXUlyrhEIjnknoecwg1xnbO/yilGtxznZcopS4ppY4opXrHWTdEKbVAKTVLKXUV6PEg114IIUTWI0kGIYQQmcFWILdSqqIylQEdgVn3bDMMKAdUA8oAxYFPbescgGmAF+AJ3ATG3rP/i8DLQCHABeiXTDxFgAK253gJmKiUijs04UVgKJAL2Az8DgTZtm8AvKOUamzbdjBQ2vZobDteUt7DVHQ0A3IDPYFwrfXTtvVVbaX385LYvwPQBCgJVAF6ACilmtiO/Rzm2tVLKgCt9SBgI/CG7bneSOa5PsZcp9vAFmCX7ecFmKENKFNBkNz1GQ2M1lrnxlyj+YnEdAjwsf2YV2v9rFIqH7AM+AHIb3u+ZSp+r4ZuQB/Mv9PJpM5ZKVUD+BN4U2s9N6ntgBaYJFFV2/k3tu3/PDAQaAsUxFy/OUkcYxxwA/M79hKJ/z4k+jw2jwHHMNd5MLDQdi2wPedpoBjQHvgqbhICaI35t8kLzOYBrr0QQoisR5IMQgghMouYaoaGwD/AmZgVtju5vYF3tdaXtNbXgK+ATgBa61Ct9a9a63DbuqEk/CA9TWt9SGt9E/Nhqtp94vlEa31ba70e82G2Q5x1i7XWf2uto4HKQEGt9eda6wjb2PtJMbHZ9htqi/sU5kNxUnoBH2utD2oj6CF7D/ygtT6rtb6E+WAfc44dMOe/T2sdDnz2EMdMyiKt9U6t9S1gEXBLaz1Dax0FzANiKhlqkfz1uQOUUUoV0Fpf11pvfcDnbw4c1lrP1FpHaq3nYH5vWsbZ5n+2c47UWt9J4jh1gSXAS1rrpfd5zm+01mFa6xBgLXev7yvA11rrA1rrSMzvZrW41QwQO7SmHTDY9ru6H5j+EM8DcB4YpbW+Y0s2HQSaK6VKAE8BA7TWt7TWgcBkTKIlxhat9W9a62jb/4NHvfZCCCEyMUkyCCGEyCxmYioEenDPUAnM3WE3YKdSKkwpFQastC1HKeWmlPpJKXXSVgq+Acir4vdL+DfO9+FAzmRiuay1vhHn55OYu8MxTsX53gsoFhOXLbaBmB4C2PaLu32Sd9SBEsDRZNbfT1LneG8Mcb9/VP/F+f5mIj/HPPf9ro8/pkLlH9vwgRYP+PzFSHgtT2KqJWI8yHn2BTZrrdc+wLZJXV8vYHSc87sEqHtiAfP76sT9/y2S+109o7XWcX6O+d0sBsQk4OKuS+56POq1F0IIkYlJkkEIIUSmoLU+iWkA2QxYeM/qi5gPrj5a67y2Rx6tdcyHr/eB8sBjttLvmOEFikfjrpTKEednT+Bs3HDjfH8KOB4nrrxa61xa62a29ecwyYO4x0rKKUzZur2dAzzi/FwiqQ1t9H3WP4xkr4/W+rDWujNmGMswYME91z4pZzEf7uPyJE4FDA92Hn0BT6XUyAfYNimngFfuOUdXrfXme7a7AETycP8W9yp+T4+GmN/Ns0A+pVSue9YleT1ScO2FEEJkYpJkEEIIkZn4A8/eU0WAbVjCJGCkUqoQgFKqeJxx/bkwSYgw2/j0wXaI5TOllItSqi5mjPwvSWwXAFxVSg1Qpsmjo1LKVykV0+BxPvCRMs0pPYA3k3nOycAXSqmyyqgSp8fAf9yneWEy5gMv23peuHG3l0VSUvJc90r2+iiluiqlCtr+jcNs+0Q9wHGXA+WUUi8qpZyUUh2BSsD9hjzc6xqmj8XTSqlvHnLfGBMw/8Y+AEqpPEqpF+7dyDaUZCEwxFZ9U4H4DU8fRCHgLaWUs+05KgLLbUNxNgNfK6WyK6WqYP4/zU7qQCm49kIIITIxSTIIIYTINLTWR7XWO5JYPQA4Amy1DYn4C1O9ADAKM+XlRUwTyZUpDOVf4DLm7vBsoK/W+p8kYo7C9AGohqnEuIhJFuSxbfIZpmz9OKa54MxknncEJiHwJ3AVmMLdqTyHANNtJfkdEt89cVrrFZheEGsx13CLbdXtJHYZDbS3zW6QXA+JB3nu+12fJsA+pdR12/N2svV5uN9xQzHJn/eBUKA/0EJrffERYgzD9AJpqpT64hH2X4SpBJhr+90MBpomsfkbmHP/F/O7MIek/x0Ssw0oi7mOQ4H2cfp2dAa8Mb+3izC9H1Ylc6xHuvZCCCEyNxV/WJ4QQgghUkIpVR+YpbX2uM+mGZZSqiLmg3A2W6NCYRGl1DCgiNY6uVlHhBBCiDQjlQxCCCGEuC+lVBvb8A93zF333yXBkPaUUhVsw2CUUqo2ZkjDIqvjEkIkTyn1tlIqWCm1Tyn1jm3ZPKVUoO1xQikVmMh+2ZVSAUqpINu+CWb3UUr1U0pppVSB1D8TIe7PyeoAhBBCCJEhvAL8DzPmfj3wmqXRZF25MEMkimGmo/weWGxpREKIZCmlfDHTKNcGIoCVSqllWuuOcbb5HriSyO63Mb2GriulnIFNSqkVMVPG2qafbQiEpPZ5CPGgJMkghBBC2JHWeh3xu/9nClrrJlbHIEBrvR0oY3UcQoiHUhHYqrUOB1BKrQfaAN/aflZAB+DZe3e0TTl73fajs+0Rd7z7SExPGUk2inRDhksIIYQQQgghROoJxsxAk982Q08z4k8/Wxf4T2t9OLGdbbPqBGKql1ZprbfZlrcCzmitg1I1eiEeklQyCCGEEEIIIUQq0VofsDVpXYWpSggC4va06YwZBpXU/lFANaVUXmCRbfjFMWAQ0Ci14hbiUWXK2SUKFCigvb29rQ5DCCGEEEIIIeI5c+YMzs7OFCpUCK01e/bsoWLFiri4uNx337Nnz+Lg4ECePHk4dOgQDg6mMD0iIgJnZ2cqVqyIs7Nzap+CEOzcufOi1rpgYusyZSWDt7c3O3YkNU26EEIIIYQQQqSd8+fPU6hQIUJCQmjUqBFbtmzB3d2dlStX8vXXX7N+/fpE97tw4QLOzs7kzZuXmzdv0qhRIwYMGECLFi3ibRfz+adAAZlgQqQNpdTJpNZlyiSDEEIIIYQQQqQX7dq1IzQ0FGdnZ8aNG4e7uzsAc+fOpXPnzvG2PXv2LL169WL58uWcO3eOl156iaioKKKjo+nQoUOCBIMQ6U2mHC7h5+enpZJBCCGEEEIIIYSwP6XUTq21X2LrZHYJIYQQQgghhBBC2IWlSQalVCWl1Hyl1HilVHul1DCl1ASl1G6lVON7tj1qW9fHqniFEEIIIYQQ4n5m752N9yhvHD5zwHuUN7P3zrY6JCHSjNU9GZoCY7TWG5VSS7TWrQCUUkuBv+7Z9jrgCpxK4xiFEEIIIYQQ4oHM3jubPr/3IfxOOAAnr5ykz+/mPmmXyl2sDE2INGH1cImZQCel1HdAfgClVG1gl20+2LiqAz2BtxM7kFKqj1Jqh1Jqx4ULF1IzZiGEEEIIIYRI1MDVA2MTDDHC74QzaPUgiyISIm1ZmmTQWp/XWr8OfAhctC3uBUxNZNtoW+LhllIqQdxa64laaz+ttV/BgolO1ymEEEIIIYQQqSLsVhgjt4wk5EpIouuTWi5EZmPpcAmllDcwEMgBfKeUygXk11qfsK1/HFPBsBoYYNttndY6Ou2jFUIIIYQQQoj49v63l7EBY5m1dxbhd8LJ5piN21G3E2znkdvDguiESHuWJhlsyYR7Gzm2i7N+C7DF9mPPNApLCCGEEEIIIZIUGR3Jb//8xtiAsaw/uZ7sTtnpUrkLr9d6nf0X98fryRAjIiqCfef34VPIx6KohUgbVjd+FEIIIYQQQogM4fyN80zaOYkJOydw+uppvPN68+1z39Kzek/yu+UHoHrR6gAMWj2IkCsheObxpHuV7kzcNZHHJj/GtNbTeMHnBStPQ4hUpbTWVsdgd35+fnrHjh1WhyGEEEIIIYTIBALOBDA2YCzz9s0jIiqChqUa8kbtN2hetjmODo4PdIyz187Sfn57tpzewgdPfMBXDb7CyUHu+YqMSSm1U2vtl9g6+a0WQgghhBBCiHvcjrzN/H3zGbt9LAFnAsjpkpM+Nfrweu3XqVCgwkMfr1iuYqzrsY53V77Ld5u/Y+e5ncxtN5eCOaRpvchcJMkghBBCCCGEEDanr55mwo4JTNw5kQvhFyifvzxjmo6he9Xu5M6WO0XHdnF0YVzzcdQqXou+S/tSc2JNFnZciF+xRG8IC5EhSZJBCCGEEEIIkaVprdlwcgNjAsbw2z+/Ea2jaVm+JW/UeoPnSj2HUsquz9ejWg8qF6pMu/nteGrqU/zY/Ed6Vpc+9yJzkCSDEEIIIYQQIku6EXGD2XtnMzZgLHvP78U9uzvvPf4er/q9Skn3kqn63DWL1WRHnx10/rUz/kv8CTgTwOgmo8nmlC1Vn1eI1CZJBiGEEEIIIUSWcvTSUcZtH8fU3VO5cvsKVQtXZXLLyXSu3Bk3Z7c0i6OAWwFWdlnJx2s+5pu/vyHw30AWdFiAR26PNItBCHuTJIMQQgghhBAi04vW0fx59E/GBIxhxeEVODo40q5iO96s/SZPlHjC7kMiHpSjgyNfP/c1fsX86LG4BzUn1mR++/nU865nSTxCpJQkGYQQQgghhBCZ1pVbV5gWOI1x28dx5NIRCucozCdPf8Irfq9QLFcxq8OL1a5SOyoVrESbeW1oMKMBwxsN5+3H3rYs+SHEo5IkgxBCCCGEECLTCT4fzLiAcczcM5Mbd27wuMfjfF7/c9pVaoeLo4vV4SWqYsGKBPQO4KXfXuLdP94l4EwAk1pOIodLDqtDE+KBSZJBCCGEEEIIkSlERkey5OASxgaMZe2JtWRzzMaLlV/k9VqvU7NYTavDeyC5s+Xm1w6/MmzTMAatGUTw+WAWdVxE6XylrQ5NiAeitNZWx2B3fn5+eseOHVaHIYQQQgghhEgDF25cYPKuyYzfMZ5TV0/hmceT1/xew7+GPwXcClgd3iP78+ifdP61M9E6mtltZ9OsbDOrQxICAKXUTq21X2LrHNI6GCGEEEIIIYSwhx1nd9Djtx6UGFmCgWsGUi5/ORZ1XMTRt44y4KkBGTrBANCodCN29N6Bd15vWvzcgs/Xf060jrY6LCGSJcMlhBBCCCGEEBnG7cjbLNi/gDEBY9h2Zhs5nHPgX92f12u/TqWClawOz+5Kupdkc8/NvLL0FQavG8z2s9uZ2WYmebPntTo0IRJlaSWDUqqSUmq+Umq8Uqq9UmqFUmqCUmp4Itt+o5T6QSn1jRWxCiGEEEIIIe5v9OjR+Pr64uPjw6hRowD45JNPqFKlCtWqVaNRo0acPXs2wX4HDx6kWrVqsY/cuXPH7j9kyBCKFCtCkTJFyOmZk67DunLp5iVGNxnNmffOMK75uEyZYIjh6uzK9OenM7bpWFYeWUmtSbUIPh9sdVhCJMrSngxKqfeBAK31RqXUEuAOEAoc1lp/F2c7T+BtrfX7SqnvgB+01qeSOq70ZBBCCCGEECLtBQcH06lTJwICAnBxcaFJkyaMHz+ewoULkzt3bgB++OEH9u/fz4QJE5I8TlRUFMWLF2fr1q2cUqfo+0Ff/rnyD/oJTfNyzXmj1hs0LN0QB5X1Rn//HfI37X9pz9XbV5naaiodfTtaHZLIgtJzT4aZQCdb4iA/8ILWug9QVClVJc52xYGYpEII4HHvgZRSfZRSO5RSOy5cuJDacQshhMigHvUOW4yoqCiqV69OixYtYpcNGTKE4sWLx959W758eWqfhhBCpEsHDhygTp06uLm54eTkRL169Vi0aFFsggHgxo0bKKWSPc6yP5aRs3BOWq9szdP/e5qjl47ylOdTHHnrCL93/p3GZRpnyQQDwJOeT7Krzy6qF6lOp1870e/PfkRGR1odlhCxLP2fqbU+r7V+HfgQuKh1bBeT80DOOJue4W5ioQRwOpFjTdRa+2mt/QoWLJiaYQshhMiggoODmTRpEgEBAQQFBbF06VIOHz7MBx98wJ49ewgMDKRFixZ8/vnnSR5j9OjRVKxYMcHyd999l8DAQAIDA2nWTLp/CyGyJl9fXzZs2EBoaCjh4eEsX76cU6fMvcJBgwZRokQJZs+eneTr7LHLx+j3Zz9e+PQFjhY/itaaiS0m8v7j73Ny1Umer/c8PXv25PLly2l5WulO0VxFWfPSGt6o9Qbfb/mehjMbcv7GeavDEgKwvieDt1JqIjAD+E4pNV0pNR4oDWxVSj2ulHpNax0C3FFKjQCikhsqIYQQQiQlpXfYTp8+zbJly+jVq1dahSyEEBlKxYoVGTBgAA0bNqRJkyZUrVoVJyfTa37o0KGcOnWKLl26MHbs2Nh9onU0fx79k5ZzWlLmhzKM3DQSDsFvn/9GUN8getfszVtvvMXRo0cJDAykaNGivP/++1adYrrh4ujCmGZjmP78dLae3krNiTUJOBNgdVhCWF7JcEJr3Udr3UVrvUlr/ZLW+lWtdW+tdbTWeovW+kfbth9prd/TWn9kZcxCCCEyrpTeYXvnnXf49ttvcXBI+Odz7NixVKlSRe6wCSGyPH9/f3bt2sWGDRvIly8fZcuWjbf+xRdf5Ndff+XKrSv8sO0HKo6rSONZjQk4E8DHT3/MpIqTqFenHq39WscmfQsXLoyjoyMODg707t2bgAD5MB2je9XubO65GScHJ+pOq8vkXZOtDklkcXZJMiilHJRS1ZVSzZVSzyqlCtvjuEIIIYQ9PcodthhLly6lUKFC1KxZM8G6V199Ve6wCSGEzfnzpmw/JCSEhQsX0rlzZw4fPhy7fuLPE7mZ5yYeIz14e+XbuGd3Z1abWYS8E8Lnz3zOn4v/pHPnzvGOee7cudjvFy1ahK+vb9qcTAZRvWh1dvTeQX3v+vT+vTd9fu/D7cjbVoclsqgUzS6hlCoNDACeAw4DF4DsQDkgHPgJmB6n10KakNklhBBCPIiBAwfi4eHBa6+9Frvs5MmTNG/enODg+FODffTRR8ycORMnJydu3brF1atXadu2LbNmzYq33YkTJ2jRokWC/YUQIquoW7cuoaGhODs7M2LECBo0aEDbtm3ZsXcHl29d5rrbdZxbO/PiEy/SoUQHxn4yNrZhbnh4OCVKlODYsWPkyZMn9pjdunUjMDAQpRTe3t789NNPFC1a1KpTTLeioqP4dO2nfLXpK2oXr82CFxZQIk8Jq8MSmVBys0ukNMkwBxgPbNT3HEgpVQh4EbistZ7+yE/yCCTJIIQQIinnz5+nUKFChISE0KhRI7Zs2cLFixdjy3nHjBnD+vXrWbBgQZLHWLduHcOHD2fp0qWAucMW82Z35MiRbNu2jblz56b+yQghRDp3MfwiU3ZN4ccdPxJyJYQSuUvwqt+r9KrRi4I5pFl7all0YBEv/fYS2Z2yM6/9PJ4p+YzVIYlMJrkkg1NKDqy17pzMuvPAqJQcXwghhLC3du3axd5hGzduHO7u7vTq1YuDBw/i4OCAl5dX7NztZ8+epVevXvedkrJ///4J7rAJIURWMXvvbAatHkTIlRA883gytMFQKhaoyNiAsfy892duR93mGe9nGNl4JK3Kt8LJIUUfQcQDaFOxDRULVqTNvDY0nNmQbxt+y7t13r3v1KFC2EOKKhliD6LUC8BKrfU1pdTHQA3gS631rhQf/BFIJYMQQgghhBCpb/be2fT5vQ/hd8JjlzkoB6J1NG7ObnSv0p3Xa7+ObyHpoWCFa7ev8fLil/n1wK909OnI5FaTyemS0+qwRCaQXCWDvWaX+MSWYHgKaAxMxwyjEEIIIYQQItMaPXo0vr6++Pj4MGrUKAA++OADKlSoQJUqVWjTpg1hYWEJ9rt16xa1a9ematWq+Pj4MHjw4Nh1Q4YMoXjx4lSrVo1q1ardt5rKKlprBqwaEC/BAGZKSvfs7px57wzjW4yXBIOFcmXLxS8v/MI3Db7hl/2/8PiUxzkcevj+OwqRAvZKMkTZvjYHxmutFwMudjq2EEII8chm752N9yhvHD5zwHuUN7P3zrY6JCFEJhEcHMykSZMICAggKCiIpUuXcvjwYRo2bEhwcDB79uyhXLlyfP311wn2zZYtG2vWrCEoKIjAwEBWrlzJ1q1bY9e/++67BAYGEhgYSLNmzdLytBKI1tEcv3ycZYeW8d3f39Hjtx7UnlSb3N/k5sy1M4nuE3YrjLzZ86ZtoCJRSikGPDWAP7r+wblr56g1qRZLDy21OiyRidlrQNQZpdRPmFkmhimlsmG/BIYQQgjxSO4t4z155SR9fu8DQJfKXawMTQiRCRw4cIA6derg5uYGQL169Vi0aBH9+/eP3aZOnTqJNpJVSpEzpylbv3PnDnfu3LF8vHxUdBQnwk6w78I+9l/YH/s4cPFAvGqFIjmL4FPQh5ervczsvbO5dPNSgmN55vFMy9DFA3iu1HPs7LOTtvPb0nJOSwbXG8yn9T7FQcnHNmFf9koydACaAMO11mFKqaLAB3Y6thBCCPHQQq6E8NaKtxKU8YbfCWfQ6kGSZBBCpJivry+DBg0iNDQUV1dXli9fjp9f/CHKU6dOpWPHjonuHxUVRc2aNTly5Aivv/46jz32WOy6sWPHMmPGDPz8/Pj+++9xd3e3W9xR0VEcvXw0XiJh34V9/HPxH25F3ordrniu4lQqWIneNXrjU9CHSgUrUbFgRfK55ovd5jGPxxL0ZHBzdmNog6F2i1fYj1deLza9vInXlr/GZ+s/Y/vZ7cxqMwt3V/v9fglhl8aPAEopd6AEcRIX0vhRCCFEWrkVeYsNJzew8shKVh5ZyYGLB5LcVqGIHhydhtEJITKrKVOmMG7cOHLmzEmlSpVwdXVl5MiRAAwdOpQdO3awcOHCZKsUwsLCaNOmDWPGjMHX15f//vuPAgUKoJTik08+4dy5c0ydOvWhY7sTdSc2mbDv/D72XzQJhYMXD3I76nbsdiVyl8CnkA+VClSiUsG7jzzZ8zzQ8yQ2u4QkctM3rTU/7fyJt1a8hWceTxZ2XEiVwlWsDktkIMk1frTX7BJfAD2Ao0DMAbXW+tkUH/wRSJJBCCEyP601Ry4dMUmFoytZe3wtNyNvks0xG/W869GkdBO+2/wd566fS7Bv7my5ufDBBVwcpX2QEMJ+Bg4ciIeHB6+99hrTp09nwoQJrF69OnY4RXI+++wzcuTIQb9+/eItP3HiBC1atCA4ODjJfSOiIjhy6YhJJFzYHy+ZcCf6Tux23nm9TQLBlkzwKeRDhQIVyJ0t96OftMjQtpzaQvtf2hN2K4zJLSfTuXJnq0MSGURySQZ7DpcorbWOsNPxhBBCiASuR1xn3Yl1rDi8gpVHV3Ls8jEAyuYrS68avWhapin1vOvh5mze0BfKWShBGa+jcuTq7as8NvkxZraZKV3PhRApcv78eQoVKkRISAgLFy5ky5YtrFy5kmHDhrF+/fokEwwXLlzA2dmZvHnzcvPmTf766y8GDBgAwLlz5yhatCgAixYtwtfXvE7djrzNodBDd4c5XDQVCocvHSYyOhIwlVol3UtSqWAlmpdtHluVUKFABZm6UCTweInH2dlnJx1+6cCLC19k+9ntDHtuGM6OzlaHJjIwe1Uy/Aq8qrU+n/KQUk4qGYQQInPQWrPvwr7YIRAbQzYSERWBm7MbDUo2oEmZJjQu3ZjS+UoneYzEynhzueSi15JeXL19la8afMU7dd6RxldCiEdSt25dQkNDcXZ2ZsSIETRo0IAyZcpw+/Zt8ufPD5jmjxMmTODs2bP06tWL5cuXs2fPHl566SWioqKIjo6mQ4cOfPrppwC82OVFtu/azu2o22QvkJ0y3ctwLPIYRy4dIUqbSd0clAOl3UvHG97gU9CH8gXKxyZahXhQd6Lu0O/PfvwQ8AP1vOoxr/08CucsbHVYIh1Li+ESfsBiIBiIHeCltW6V4oM/AkkyCCFExhV2K4zVx1az4sgKVh5ZGTs9mm8hX5qUbkKTMk14yvMpsjllS9HznL9xnt6/92bJwSU84/0M/3v+f9INXQiRpsLvhHPw4sEEszkcvXyUaG36xjgqR8rkKxMvkVCpYCXK5S+Hq7OrxWcgMptZe2bR5/c+5HPNx4IOC6jjUcfqkEQ6lRZJhn3AT8BeILaTltZ6/X32qwQMAUKB1UBz2yoHoKfWtlSt2fYosArYpbWemNxxJckghBAZR7SOZve53bG9Fbac2kKUjiJPtjw0LN2QJqWb0LhMYzxye9j9ubXWTAucxtsr38ZBOTC26Vi6Vulq+TRyQojM5UbEDQ5cPBBvJof9F/Zz/PJxtK2dmZODE2XzlU3QgLFc/nIpTqoK8TCC/g2izbw2nL56mjFNx9CnZh/5uygSSIskw3qtdb1H2O99IEBrvVEptSSm8kEpNRozHeapONsGAYHAXK31iuSOK0kGIYRI3y7cuMCqY6tYeWQlfxz9g/M3zGi7mkVr0qSMqVao41EHJwd7tQ5K3rHLx3jpt5fYFLKJ9pXaM6H5BPK75U+T5xZCZBz3m0Xh2u1rscmEuLM5nAg7EbuNs4Mz5QuUj23A6FPIVCaUyVdGmtGKdOPSzUt0WdiFlUdW0rNaT8Y1H0d2p+xWhyXSkbRIMozADJNYQvzhEslOYamUKgQMBsKBJ7TWTyqlKgDvaK373rOtA6CAZVrrJskdV5IMQghhjB49mkmTJqG1pnfv3rzzzjv88ssvDBkyhAMHDhAQEJBgTvcYK1eu5O233yYqKopevXrx4Ycfxq4bM2YMY8eOxcnJiebNm/Ptt98mG0dkdCQBZwJieyvsOLsDjSa/a34al2lM0zJNaVS6EYVyFLLr+T+MqOgohm8ezidrPyG/W36mtppK07JNLYtHCJG+zN47O0EjWRdHFxp4N0Arzf4L+wm5EhJvXYUCFWKHN8Q8SruXlqZ6IkOIio7is/Wf8cWGL/Ar5sevHX6VYYUiVlokGdYmsviBp7BUSjkCC4FBwDvAa0nNVKGU+g1oq7WOvmd5H6APgKenZ82TJ08+cPxCCJEZBQcH06lTJwICAnBxcaFJkyaMHz+eyMhIHBwceOWVVxg+fHiiSYaoqCjKlSvHqlWr8PDwoFatWsyZM4dKlSqxdu1ahg4dyrJly8iWLVtsZ/V7nb12lj+O/MHKoytZdXQVl29dxkE5UMejTmxvhRpFa+Do4JgWl+OBBf4bSLdF3Qg+H0zfmn0Z3mg4OVxyWB2WSGOJJeguXbpEx44dOXHiBN7e3syfPx93d/cE+44cOZLJkyejlKJy5cpMmzaN7NnNHcCHTdCJ9CEqOgqPER78e+PfRNdXL1I9QQPGku4l06waS4jUtOTgErot6oaLowtz282lQakGVock0oFUn8JSa/3Mo+ynlPIGBgI5gO8xPRdWAD8opb4ESgDVMf0aBth2W3dvgsEWw0RgIphKhkeJRwghMpMDBw5Qp06d2OnT6tWrx6JFi+jfv/999w0ICKBMmTKUKlUKgE6dOrF48WIqVarE+PHj+fDDD8mWzYwRjkkwRERF8HfI37G9Ffb8tweAojmL8nyF52lapinPlXoOd9eEH8rSk2pFqrG993Y+XvMxI7aM4K/jfzGzzUxpfpWFBAcHM2nSpHgJuubNmzNp0iQaNGjAhx9+yDfffMM333zDsGHD4u175swZfvjhB/bv34+rqysdOnRg7ty59OjRg7Vr17J48WL27NkTm6AT6VfYrTD+PPonyw4vY8XhFVwIv5DodgrFrleSLd4VIkNrVb4V23tvp828NjSa1YhvGnxDvyf6SZ8GkSRL5+vSWp/QWvfRWnfRWm/QWhfVWvfUWvfVWp/WWm/RWv+otT5oW95Taz3KypiFECKj8PX1ZcOGDYSGhhIeHs7y5cs5derU/XfEfFAqUaJE7M8eHh6cOWNmeTh06BAbN27kscce47EnH+PD6R/y/Nznyf9tfp6d8Swjt44kv2t+hj03jKC+QZx57wxTW0/lBZ8X0n2CIUZ2p+wMbzSctS+tJSIqgienPsmnaz/lTtQdq0MTaSBugs7JySk2Qbd48WJeeuklAF566SV+++23RPePjIzk5s2bREZGEh4eTrFixQCSTNCJ9EFrzYELBxi+eTj1/1efAt8WoOOCjiw9tJSGpRtSwLVAovtJ+bjICsrlL8e2XttoV7Ed/f/qT8cFHbkecT1Fxxw9ejS+vr74+PgwatQoAC5dukTDhg0pW7YsDRs25PLly4nuGxYWRvv27alQoQIVK1Zky5YtAAwZMoTixYtTrVo1qlWrxvLly1MUo3g0Mim4EEJkUhUrVmTAgAE0bNiQJk2aULVqVZycHqyALbGhdEopbt65SVh4GIsDFxPWNYyASgEMe2cYu8/tpmvlrvzW8TdC+4ey5qU19H+yP1UKV8nQdzrqeddjT989dKvSjS82fMHjUx7nwIUDVoclUllSCbr//vuPokWLAlC0aNFEKxGKFy9Ov3798PT0pGjRouTJk4dGjRoB8RN09erVY/v27Wl6XiKhW5G3WHlkJW8uf5PSP5Sm0o+V+GDVB1y6eYn+T/Zn08ub+K/ff8xuO5tRTUfh5uwWb383ZzeGNhhqUfRCpK2cLjmZ134e3zX8jl8P/Mpjkx/jUOihRzpW3IqxoKAgli5dyuHDh/nmm29o0KABhw8fpkGDBnzzzTeJ7v/222/TpEkT/vnnH4KCgqhYsWLsunfffZfAwEACAwNp1qzZI8UnUkaSDEIIkYn5+/uza9cuNmzYQL58+ShbtuwD7efh4cGpU6fQWnPw4kHmbZ7HH+f/IN+3+TgZfZL9BfZTKl8pRvmPokTeEmzvsp3xLcbTukJrcmXLlcpnlbbyZM/D/57/H792+JUTYSeoMbEGP2z7IXYOe5H5pCRBd/nyZRYvXszx48c5e/YsN27cYNasWYCpcLh8+TJbt27lu+++o0OHDokm9ETqOn31NBN3TqT13Nbk/zY/TWc3ZcruKfgU8mF88/GcfOcke17dw1cNvuJJzydj+yp0qdyFiS0n4pXHC4XCK48XE1tOjDe7hBCZnVKKfk/0Y1W3VZy/cZ5ak2qx5OCShz5OSirGrl69yoYNG/D39wfAxcWFvHnzpuS0hJ3ZrRuNUuoJwDvuMbXWM+x1fCGEEA8vpiljSEgICxcujC0nTM6129c4l+scW4K2UGJwCc7oM7AIvP29eaXmK0RFRZHzdk6+7vI1hw4dYnjkcAoWLJgGZ2OtthXb8kSJJ/Bf4s/bK9/m90O/M631NDxye1gdmkgF/v7+sW9gBw4ciIeHB4ULF+bcuXMULVqUc+fOJTrc4a+//qJkyZKx/yfatm3L5s2b6dq1Kx4eHrRt2xalFLVr18bBwYGLFy9mif8/VoqKjiLgTABLDy1l2eFlBP0XBIBXHi96VO1B83LNecb7GVydXe97rC6Vu0hSQQjg2ZLPsrPPTtrNb0frua35uO7HDKk/5IGbOfv6+jJo0CBCQ0NxdXVl+fLl+Pn5PVDF2LFjxyhYsCAvv/wyQUFB1KxZk9GjR5Mjh2nSPHbsWGbMmIGfnx/ff/99og16ReqySyWDUmomMBx4CqhleyQ+J5oQQog0065dOypVqkTLli0ZN24c7u7uLFq0CA8PD7Zs2ULz5s1p3Lgxe/7bw8eLPyZ/1fzk/zY/7X5tx50mdwibFEaBaQV4v9f7HB96nFFNRvH9h99z6uQpfH196dSpE9OnT8/QQyIeRpGcRVjaeSk/tfiJzac2U3l8ZebsnWN1WCIVxLyxjUnQde7cmVatWjF9+nQApk+fTuvWrRPs5+npydatWwkPD0drzerVq2PLeJ9//nnWrFkDmKETERERFCiQ+Dh/kTKXb15mbvBcui3qRpHvi/DE1CcY9vcw8mTPw7DnhhH8ajDH3z7OuObjaFa22QMlGIQQ8Xnm8WTjyxvpWa0nX278khZzWnDp5qUH2jclFWORkZHs2rWLV199ld27d5MjR47YYRWvvvoqR48eJTAwkKJFi/L+++8/8vmJR2evKSwPAJV0Oqn58/Pz0zt27LA6DCGESLcu37zMX8f+YsWRFfxx9A/OXjsLQJXCVWKnl3zS80lcHF0sjjT9OnLpCN0WdWPr6a109OnIj81/JJ9rPqvDEnZSt25dQkNDcXZ2ZsSIETRo0IDQ0FA6dOhASEgInp6e/PLLL+TLl4+zZ8/Sq1ev2AZjgwcPZt68eTg5OVG9enUmT55MtmzZiIiIoGfPngQGBuLi4sLw4cN59tkHmu1b3IfWmv0X9rPs8DKWHlrK5lObidJR5HfNT9OyTWletjmNSzfOMM1nhchItNZM2jWJN5a/gUduDxZ1XETVIlUf6hgxFWOjR49m3bp1sRVj9evX5+DBg/G2/ffff6lTpw4nTpwAYOPGjXzzzTcsW7Ys3nYnTpygRYsWBAcHp+j8ROKSm8LSXkmGX4C3tNbnUnwwO5AkgxAiq5q9dzaDVg8i5EoInnk8GdpgKF0qdyFaR7Pz7M7Y6SW3nt5KtI4mb/a8NCzVkKZlmtKodCOK5y5u9SlkKJHRkQzbNIwh64dQKEchprWeRqPSjawOS4hUMXLkSCZPnoxSisqVKzNt2jQOHjxI3759uX79Ot7e3syePZvcuXM/0L7Zs2cHYMyYMYwdOxYnJyeaN2/Ot99++0Dx3Lxzk3Un1sUOgzh55SQAVQtXpUW5FjQv25zaxWs/cPm2ECJltp7eSvv57bl08xKTWk6iS5XkhxbFHdLZqFEjtmzZwldffUX+/Pljpwq+dOlSoq8JdevWZfLkyZQvX54hQ4Zw48YNvvvuu9ghbWBed7Zt28bcuXNT5XyzurRIMqwFqgEBwO2Y5VrrVik++COQJIMQIiuavXc2fX7vQ/id8NhlLo4u1Cxak8OXDnMx/CIKhV8xP5qUMdUKtYvXjm1qJh7drnO76LqwKwcuHuCNWm8wrOGwBF3ohcjIzpw5w1NPPcX+/ftxdXWlQ4cONGvWjHHjxjF8+HDq1avH1KlTOX78OF988cUD7dujRw/Wrl3L0KFDWbZsGdmyZYv90JGUU1dOsezwMpYdXsbqY6u5GXkTN2c3niv1HM3LNqdZ2WbSJ0UIC/13/T86LOjAhpMbeKv2WwxvNBxnR+dEt01JxVhgYCC9evUiIiKCUqVKMW3aNNzd3enWrRuBgYEopfD29uann36KTToI+0qLJEO9xJZrrden+OCPQJIMQoisyHuUd+ydvLgclAMvVn6RJqWb0Kh0IwrmkCZzqeHmnZsMXD2QUdtGUT5/eWa2mUmt4rWsDks8oKSqgIRx5swZ6tSpQ1BQELlz5+b555/nrbfeon379ly5cgWlFKdOnaJx48bs37//gfZt1KgRHTp0oE+fPjz33HOJPm9UdBRbT2+NHQax9/xeAErmLUnzss1pXq459b3rk90pe6pfAyHEg7kTdYcBfw1g5NaR1PWsy/wX5lMkZxGrwxJ2llySwS63r6xKJgghhIDzN84zZ++cRBMMYMZKzmwzM42jynpcnV0Z2WQkLcq1oMfiHjw+5XE+rfcpA+sOlGqRdO7eKqCTV07S5/c+AJJosClevDj9+vXD09MTV1dXGjVqRKNGjfD19WXJkiW0bt2aX375hVOnTj3wvmAaYG7cuJFBgwaRPXt2hg8fTmnf0qw8spJlh5ex8shKLt28hJODE095PsV3Db+jednmVChQIcs0nBUio3F2dGZE4xHUKlYL/yX+1JxYkwUvLODxEo9bHZpIIymaXUIptcn29ZpS6mqcxzWl1FX7hCiEEOJeN+/cZF7wPFr83IJi3xfjnT/ewdkh8XJEzzyeaRxd1tagVAP2vrqXTr6dGLxuME9OfZJDoYesDkskY+DqgfGGGQGE3wnnjeVvMDd4LptPbeb01dNERUdZFKH1Ll++zOLFizl+/Dhnz57lxo0bzJo1i6lTpzJu3Dhq1qzJtWvXcHFJ2Cw2qX3BdIm/dOkSkxZPwreLL3Wb1aXAtwXosrALq46uokW5FsxrP48LH1xg7Utr6fdEPyoWrCgJBiEygM6VO7O111ZcnVyp9796vPzby3iN8sLhMwe8R3kze+9sq0MUqSRFt1a01k/ZvuayTzhCCCGSEq2j2RSyiZlBM5m/fz5Xb1+leK7i9HuiH92qdCPwv8AEPRncnN0Y2mCohVFnTXmz52VW21m0Kt+Kvkv7Um1CNYY3Gs6rfq/Kh6N0ZP+F/UzZNYWQKyGJrg+7FUbnXzvH/uzk4IRHbg8883iaR27z1SuvV+yynC450yr8NPXXX39RsmRJChY0w63atm3L5s2b6dq1K3/++SdgqhLu7e6e1L4bNm3AvbY7V7NdZb6ez9ifxgLgggvvVH6HjrU74lfMT5o2CpHBVSlche29t/PM9Gf4X9D/YpdLxVjmlqIkg1Iqp9b6ekq3EUIIkbRDoYeYGTSTWXtncSLsBDmcc9CuUju6V+lOfe/6sW/CfQr5AMi48nSkg08HnizxJD2X9OT15a+z5OASpraeSrFcxawOLcu6dvsa8/fNZ/LuyWw9vRVnB2dcnVy5GXkzwbYlcpdgRZcVhFwJufu4GsLJsJNsPLnRVDfo+NUN7tnd7yYebEmImIdXXi+K5CyCg0pRIaklPD092bp1K+Hh4bi6urJ69Wr8/PxiGzVGR0fz5Zdf0rdv3yT3/efsP6w+vZqvJ3/Nf7n/Y9KcSbh4uFDyXEmG9hxKecrz4uQX+b7N95KMEyITcXd15/KtywmWh98J583lb+KZ25PqRatn2iRtVpSixo9KqdVAILAY2Km1vmFbXgp4BugATNJaL0h5qA9OGj+KzC4l04itXLmSt99+m6ioKHr16sWHH34IQMeOHWPnIQ4LCyNv3rwEBgam5WmJOELDQ5m3bx4z98xk6+mtOCgHniv1HN2qdKNNhTbkcMlhdYjiIWitGb9jPP3+7IersysTmk/gBZ8XrA4ry9Bas/X0Vibvmsy8ffO4cecGFQtUpFeNXnSr0o0/j/2ZaBXQxJYTk03SRUVHce76OUKumMRD3EREzLIrt6/E28fZwTleNYRXHq94iQjPPJ7p9v/34MGDmTdvHk5OTlSvXp3JkyczYcIExo0bB5gKha+//hqlFGfPnsXf35+BEway7PAypo6cyoVtF8ABcnrlpPsn3Wnt05rHiz7Oq31eJTAwEBcXF4YPH86zzz5r8ZkKIezN4TMHNEl/7lQoyhcoT82iNc2jWE2qF6lOrmxSMJ9epersEkqpZkAX4EnAHYgEDgLLgCla639T9ASPQJIMIjNLyTRiUVFRlCtXjlWrVuHh4UGtWrWYM2cOlSpVirfd+++/T548efj000/T8tSyvNuRt1l+eDkz98xk6aGl3Im+g28hX7pX6c6LlV+keO7iVocoUujgxYN0W9SN7We306VyF8Y2G0ve7HmtDivTOn/jPDODZjJl9xQOXDxADuccdPTpSK8avajjUSfe3fLUml3iyq0rnLp6KjYBcTLsZGwSIuRKCGeunklQDZHfNX+CxEPcZEThnIXTbTVEaHgoK4+sZOnhpfxx5A8u37qMk4MTT3s9bWaDKNuccvnLSaWCEFlMUjNgFc9VnAktJrDz7E52njOPs9fOAibxUC5/OWoWqxmbfKhetDq5syW8iZZZJHYj8Z9//qFv377cunULJycnfvzxR2rXrp1g39GjRzNp0iS01vTu3Zt33nkndt2YMWMYO3YsTk5ONG/enG+//TbFsab6FJbpjSQZRGaWkmnEtmzZwpAhQ/jjjz8A+PrrrwH46KOPYrfRWuPp6cmaNWsoW7Zs2p1YFqW1ZtuZbcwImsG8ffO4dPMShXMU5sXKL9K9aneqFq4qb8YzmTtRd/hq41d8seELiuYqyvTnp/NsSblzay9R0VH8efRPpuyewuKDi4mMjuRxj8fxr+5PB58O6e6uWGR0JGevnY0/JONKCCevnIxNSlyLuBZvH2cHZ0rkKZFoFYRXHi9K5CmBm7NbmsSvtWbPf3tYdngZyw4vY+vprUTraArlKESzss1oXrY5DUs1JE/2PGkSjxAifbp3Fh9IumLs3+v/xks67Dy7kzPXzsSuL5e/XLyKhxpFa2SKxENSNxJ//vln3n33XZo2bcry5cv59ttvWbduXbx9g4OD6dSpEwEBAbi4uNCkSRPGjx9P2bJlWbt2LUOHDmXZsmVky5YtdphbSqX6FJaPSilVCRgChAKrARfMMItswKsxwy9s234DuAHhWusP0z5aIdKHlEwjdubMGUqUKBH7s4eHB9u2bYu3zcaNGylcuLAkGFLZ8cvHmbVnFjP3zOTwpcNkd8pOmwpt6FalGw1LN5QpDzMxZ0dnBtcfTLOyzei6qCsNZjTgncfe4asGX+Hq7Gp1eBnW8cvHmRY4jWmB0zh99TQF3ArwVu238K/hT6WCle5/AIs4OTjFJgiScuXWlXiJh7iP1cdXc/baWaJ1dLx9CrgVSHZIRqEche5bDZFUdceNiBusOb4mNrFw+uppAGoWrcnHdT+mRbkW1CxWM91WWwgh0l5MIuFBKsaK5CxC83LNaV6ueeyy/67/F5tw2HluJxtDNjIneE7s+rL5ysareKhRtEaGTG5GRkZy8+ZNnJ2dCQ8Pp1ixYiiluHrVTNx45coVihVL2NfpwIED1KlTBzc3k2CuV68eixYton///owfP54PP/yQbNmyAdglwXA/Vr+LbQqM0VpvVEotAW5rrV9QSrUA2gIzAZRSnoCz1votpdR3SqkSWuuEn6CEyALiTgWWN29eXnjhhdhpxN566y0+//xzWrVqleg0YolVLt17l3zOnDl07tw5wXYi5a7cusIv+39hRtAMNoZsBKC+d30+fOpD2ldqnymy8OLB1Spei92v7GbAqgGM2jaKP4/9yaw2s6hetLrVoWUYtyJv8ds/vzFl9xT+OvYXCkXjMo0Z2Xgkrcq3wsUx4etgRpQnex4qZ69M5cKVE11/J+pObDXEvYmIw6GH+evYX1yPiN+DO5tjNkrkKRFvpoy4s2T8HfI3b6x4I/au48krJ3n5t5f5dtO3HAw9yO2o2+R0yUmj0o34rP5nNC3TlKK5iqb6tRBCZFxdKnd55GFohXMWplnZZjQr2yx22fkb5+NVPPwd8jdzg+fGri+Tr0yCiof0PEQxqRuJJUqUoHHjxvTr14/o6Gg2b96cYF9fX18GDRpEaGgorq6uLF++HD8/U2Rw6NAhNm7cyKBBg8iePTvDhw+nVq1aqXouVicZZgKDlVKtgPxATB3MSSDuX9LiQExSIQTwiPMzAEqpPkAfMF2MhcisUjKNmIeHR7wKh9OnT8fLhkZGRrJw4UJ27tyZymeRddyJusOfR/9kxp4ZLP5nMbejblM+f3mGPmuy9155vawOUVjIzdmNMc3G0KJcC15e/DK1J9dmSL0hDHhqgFSzJGPPf3uYvGsys/bM4vKty3jl8eKz+p/Ro1qPZCsCMitnR2e88nrhldeLutRNsF5rTditsESHY4RcCWHV0VWcvXY22aZsAHei77D/4n7eqPUGLcq1oK5X3UyTyBFCZDyFchSiadmmNC3bNHbZhRsX4lU8bDm9hXn75sWuL+1eOkHFg7uruxXhJ5DUjcSAgABGjhxJu3btmD9/Pv7+/vz111/x9q1YsSIDBgygYcOG5MyZk6pVq+LkZN5HREZGcvnyZbZu3cr27dvp0KEDx44dS9XhuHZ5B6OUKg2c1lrfVkrVB6oAM7TWYcntp7U+D7yulHIEFsZZ5QmcjvPzGUxiAaAE8Fsix5oITATTk+FRzkOIjCAl04jVqlWLw4cPc/z4cYoXL87cuXP5+eefY9f/9ddfVKhQAQ8PjwT7igentWb3v7uZETSDn/f+zIXwC+R3zU/vGr3pXrU7fsX8pM+CiKdxmcYEvxbMq8te5eO1H7Ps8DJmtJlBmXxlrA4t3bhy6wpzg+cyefdkdpzdgYujC20qtMG/uj8NSjWQ0vxkKKVwd3XH3dWdqkWqJrpNRFQEZ6+djZ0lo/tv3RPdLio6ipFNRqZmuEII8cgK5ihIkzJNaFKmSeyyCzcusOvcrtiKh22ntzF/3/zY9aXcS8WreKhZtKYliYekbiTOnj2b0aNHA/DCCy/Qq1evRPf39/fH398fgIEDB8a+n/fw8KBt27YopahduzYODg5cvHgx9nlSg71uk/wK+CmlygBTgCXAz0Cz5HZSSnkDA4EcwHeAp1JqPOCKST48DlTXWv+olLqjlBqBGVIhQyVElvXYY4/Rvn17atSoETuNWJ8+fRJMI/byyy8DcPbsWXr16sXy5ctxcnJi7NixNG7cmKioKHr27ImPj0/ssefOnStDJVLg9NXTzN4zmxl7ZrD/wn5cHF1oWa4l3at2p0mZJnLHTyQrn2s+5rabS+vyrXl9+etUm1CNEY1H0LtG7yyblNJasylkE5N3T+aXfb9wM/ImlQtVZnST0XSp3IX8bvmtDjHTcHF0wTuvN955vQH4ZO0niXaCz4qVIkKIjK1gjoI0LtOYxmUaxy67GH7RJB5sFQ/bz27nl/2/xK4vmbdkvIqHmsVqks81X6rGmdSNxGLFirF+/Xrq16+fbGP2mBuOISEhLFy4kC1btgDw/PPPs2bNGurXr8+hQ4eIiIigQIECqXoudpldQim1S2tdQyn1AXBLaz1GKbVba23JwFKZXUIIkVauR1xn4YGFzAiawZrja9BonijxBN2rdKeDT4d0U4InMpbTV0/T47cerD6+muZlmzO51WSK5CxidVhp5t/r/zI9cDpTA6dyKPQQuVxy8WLlF/Gv7i+VQGnkYTrBCyFEZhAaHhqv4mHn2Z0cDzseu947r3eCigd7J7sHDx7MvHnzYm8kTp48me3bt/P2228TGRlJ9uzZ+fHHH6lZs2a8G4kAdevWJTQ0FGdnZ0aMGEGDBg0AiIiIoGfPngQGBuLi4sLw4cN59tmUz2qV6lNYKqW2AaOAQUBLrfVxpVSw1to3xQd/BJJkEJlNas3fntkkNrfwSy+9xMGDBwEICwsjb968BAYGJtj3YeYW/vqbr1lzfA0z9sxg4YGFhN8Jp2TeknSv2p2uVbpKibuwi2gdzdiAsQz4awA5nHMwseVE2lZsa3VYqSYyOpIVh1cwZfcUlh5aSpSO4inPp+hVvRftK7Unh0sOq0PMcuRvjxAiq7t081K8ioed53Zy7PKx2PVeebwSVDwUcEvdKoH0Ii2SDJWAvsAWrfUcpVRJoKPW+psUH/wRSJJBZCZyN+nBJDW3cI8ePWK3ef/998mTJw+ffvppvH0fdG7hQ2GHmLB+Ar+d/o2z186SN3teOlTqQPeq3XmixBNyd1WkigMXDtB1UVd2ndvFS1VfYnST0RlyWq6kHLl0hKm7p/K/wP9x7vo5CucozEtVX6Jn9Z6UL1De6vCEEEKIeC7fvJyg4uHo5aOx6x8m8ZCRk7nJJRns0pNBa71fKTUA07ARrfVxwJIEgxCZzaDVg+IlGADC74QzaPWgDPMilFYSm1s4htaa+fPns2bNmgT7JTe38MgxIynTqgx1/leHwH8DcXJwolnZZnSr0o0W5VqQ3Sl7mp2fyJoqFqzIFv8tfLH+C77a9BXrTqxj+vPTqeddz+rQHtnNOzf59cCvTNk9hXUn1uGgHGhWthn+1f1pXrY5zo7OVocohBBCJMrd1Z0GpRrQoFSD2GWJJR4WHrg7r4FnHs8EQy3+PPZnvBuJJ6+cpM/vfQAy/Ht8e1UytASGAy5a65JKqWrA51rrVik++COQSgaRmTh85pDktGJNyjShVN5SlHQvSSn3UpTMa75mprucD2P06NEMGjQodm7h2bNnx67bsGED7733Hom9Nhw4cIDWlG02UgAAKZNJREFUrVuzZcsWXF1deebZZ8hbKi+OzR1Z0W8FlIccJ3NQxL0IP476kUZPN0rL0xIi1pZTW+j+W3eOXjrK+4+/zxfPfmGXRFdKhhp5e3uTK1cuHB0dcXJyiv0/1rFjxwT7T10xlSm7pjB772yu3L5CaffS9Kzek5eqvkTx3MVTfB5CCCFEehF2KyzBUIsjl47ErndUjkTpqAT7eeXx4sQ7J9Iw0keT6pUMwBCgNrAOQGsdaBsyIYRIIc88nol2+HZ1cuX8jfNsPb2VsFth8da5Z3c3SQf3kvGSEKXcS+GZxzNTznKQ1NzCXbt2BWDOnDlJzpxRsWJFPuj/AY/Xe5yr+iqXcl7izvE7lDhfggLZC9C4bGNmrp3J9u3b6dixY6rPLSxEUh4v8Ti7X9lNvz/7MXzLcFYeXcmsNrOSnJbwQZw5c4Yffvgh3lCjuXPnMm/e3XnFY4YaJWXt2rUJOlXH7H/55mXa9WrHgWsHqDmxJtmdstOuYjv8q/tTz7ueTD0phBAiU8qbPS/PlnyWZ0vebbJ45daV2IqHD1Z9kOh+IVdC0irEVGOvJEOk1vrKPW+6U14iIYSgd43efLz243jL7u3JcPnmZY6HHefY5WMcv2z7GnacoH+DWHJwCRFREbH7OigHPHJ7xFY9xH61JSIK5yicIT9AJzW3cNeuXYmMjGThwoXs3LkzwX7/XPyHmUEzmXV9FiEvhJDTJScVd1bkmSrPMOKdETT7oxm9uvRK07mFhUhOTpecTGgxgVblW+G/xJ9ak2rxxTNf0O+Jfjg6OD7SMR91qFFSonU0606sY8ruKSzYt4CIpRFUfL8iHzf5mBcrvyizrgghhMiS8mTPwzMln+GZks8wNmBspp0q2F5JhmCl1IuAo1KqLPAWsNlOxxYiy7oecZ0Ze2aQN1tecmbLyZmrZxJtCuPu6o67qzs1itZIcIyo6CjOXjsbPwkRZr6uPLKSc9fPxdve1cmVku4lE01ClMxbklzZcqX6eT+KpOYWBpOAqFChAh4eHoCZG3lu8Fxm7plJwJkAHJQD9QrU4+u2X1PTrSatp7dm8KTBOCgHS+YWFuJBNCvbjL2v/r+9Ow+PsjzfPv69wr4GBEQMBERFQFAIICAIIu4VrYALixQEEWu1VWm14k/l1bR1q1iL1iiogOKGC4qILC6IILKDWrACISwKKPua5Xr/mEkMSQzITPJMwvk5jjky8yz3nHMfMSYX97KcYe8N466Zd/Het+8x7rfjOKnmrxtImJCQwPDhw0lMTMyZanThhT9PCZo9ezZ169b9xX25zYwLL7wQM+PqAVeT0TqDsUvGsnrbauIrxHNp+UtZ2WglX9/7dUSfV0REpDRJ7p5c4OLuyd2TA0wVHdFak6Eyoe0rLwQMmAY84O77I278KGhNBiktBr8zmOeXPM+s383i3EbnFsl77Evfx9rtawssQqzetppdB3cdcn3tyrUPLT7kKkI0qN4g0AXbCtpbuEKFCgwcOJC27dpSr1s9xi0bx/vfvk/G9gyqTavGfSn30bdlX66+9Opi3VtYJFrcnQnLJvCHqX8gy7N44uInGNRq0BGPSNq2bRu9evXi1VdfzZlq1Lt375ypRjfddBOnnHIKd9xxR4H3p6alsmj3Ip76+ClmjJwBl8C5557LkNZD6NmsJ7ffenuh94uIiByrSuvuElEpMsQaFRmkNHhlxSv0mdSHe865hwfOeyCQDO7OT/t+ypl+kbcIkbojlYysjJzry1gZGsQ3OKT4kPt57cq1i3Uqhrszd/1cxi0dx6tfvcr2/dupV7Ue/Vr247ozr+OMumcUWxaRopa6PZWB7wzk47Ufc8VpV5DSI4Xjqxx/2Ptef/11PvjgA8aMGQPAuHHjmDdvHk899RQZGRkkJCSwcOHCnJFA2VZuXcmYxWN4cemLbN6zmXpV63Hy0pPpdEon/nFvaIOpwu4XERGRkqvIF340s7bA3UCj3G26u36DFzkKa7at4cb3bqRj/Y7cd+59geUwM2pVrkWtyrVol9Au3/mMrAw27NxwSBEi+/m7q95l857Nh1xfpVyVAhekPKnGSZxU8yQql6scldzf/fQdE5ZNYPyy8Xy37Tsqla1Ez2Y9GXDmALqf1P2o562LxLKGNRoyc8BMRs0bxV9n/pWWT7fk2R7PcvlphW/09GumGu05uIfXv36d5xY9x5y0OZTJKMPFJ1/MsMuHcU69c7jkoks4t++5OW3nvV9ERERKv2hNl1gJ/BlYDmRlH3f3/CtZFAONZJCSLD0znS4vdOGbLd+wZNgSGtVoFHSko7bn4B7WbF9zyGKUub/mnoMGULdK3V8sQtSvXv+Q4kDe4WV3n3M3AOOWjmNO2hwMo9tJ3RhwxgB6NusZs2tJiBSFFZtX0P/N/iz9YSmDWw/m8YseL/S/gcKmGrVv3542l7dhzKIxTFwxkV1bd1H5g8rcl3IfXat3ZWj/0J7eGRkZ9O3blxEjRuS0O3DgQDp06MCwYcOK/DOLiIhI8Sny6RJm9pm7d464oShRkUFKshEzR/C3z/7Gq71f5erTrw46TpFxd7bs3ZJvR4zsr+t2rCPLc2qWlIsrR2J8Io1rNiYjM4PP0j4jPSs9X7vNajdjwJkD6NeyHw3iGxTnRxKJKQcyDnD/x/fz0JyHaFSjEeOuHEfnxCP/X/WPe39kwrIJPLf4OVZsXkGlspW4+vSrGdx6MJ0TO5fIXWhEREQkOoqjyNAd6APMBA5kH3f3NyNu/CioyCAl1UdrPqL7uO5c3/p6nrv8uaDjBCo9M520nWkFFiEWblp4SAEi2wlVT2Dj7Rv1x49ILp+t+4wBbw1g7fa13NnpTkZ2G0n5MuULvDbLs5ixegZjFo/h7f++zcHMg7Q7sR2DWw/m2hbXEl8xvpjTi4iISCwqjiLDBKAp8BU/T5dwd78+4saPgooMUhJt3buVM/9zJtXKV2Ph0IVUKV8l6EgxK25kHE7+n12GkXVf/uKDyLFu14Fd3D7tdp5b/Bxn1j2TPi368PSCp3OmG93e8Xa27dvG80ueJ3VHKsdVOo7+LfszOGmwFkgVERGRfIqjyLDc3VsexX2JwL+BrcAqoCYQD7QH7nL3abmu/Q6YDixy95TC2lWRQUoad+eKV65g2nfT+GLIF7Q6oVXQkWJao1GNSN2Rf8mXhvENWfuntcUfSKSEmLxyMv3f7J9va9ps5zc+nyGth3BF0yuoWLZiMacTERGRkqKwIkNclN5jnpk1P4r7mgBTwiMemrv7ne4+DNgAzMhz7W6gEpAWWVSR2DP6y9G8u+pdHrngERUYjkBy9+R8O1FULleZ5O7JASUSKRkuP+3yX5zykFAtgenXTeeaFteowCAiIiJHLVpFhs7AEjNbaWbLzGy5mS07gvsWA9ea2SzgIwAzO4vQaIXMPNe2Bq4H/lhQQ2Y21MwWmNmCLVu2HP0nESlmS79fyvAPh/ObU3/DLWfdEnScEqFfy36k9EihYXxDDKNhfENSeqTQr2W/oKOJxLwNOzcUeHzjro3FnERERERKo2hNl2hY0PHDbWFpZsOB+e7+qZm94e69zSwF+Ju7r/2Fe94GeroXsOpbmKZLSEmxN30vbVLasGP/DpYOW0qdKnWCjiQipZymG4mIiEikimy6hJlVDz/d9QuPw/kAuNXM/gOsNbNqQK3sAoOZdTSz35vZaWY21szGAh8XVmAQKUlu++A2Vm5dyfgrx6vAICLFQtONREREpCiVjfD+l4HLgIWAA7n3jXOgcWE3u/sKoHeew71ynZ8LzA2/DGSnCpGi8sbXb5CyKIW7Ot1F98bdg44jIseI7GlFI2aOyNldIrl7sqYbiYiISFREZbpErNF0CYl1qdtTafVMK5rUasJngz6jXJlyQUcSERERERE5IkW+u4SZzTySYyICGVkZ9HuzH5lZmUzsNVEFBhERERERKTUimi5hZhWBykBtM6vJz9MlqgMnRphNpFR64JMHmJM2h5d7vkzjmoXOKBIRERERESlRIl2T4UbgT4QKCgv5uciwExgdYdsipc6nqZ/y4OwHGdhqIH1a9gk6joiIiIiISFRFVGRw9yeAJ8zsFnd/MkqZREqln/b9RL83+3FyzZN58hL95yIiIiIiIqVPpCMZAFCBQaRw7s6QyUP4YfcPzB08l6rlqwYdSUREREREJOqiUmQQkcI9s/AZ3vrvWzx24WO0ObFN0HFERERERESKRFR2lxCRX7Zi8wpum3YbF59yMX/q8Keg44iIiIiIiBSZqIxkMLOkAg7vAFLdPSMa7yFSEu1L38e1b1xLfIV4XrjiBeJMdT0RERERESm9ojVd4ikgCVhGaIeJFuHntcxsmLt/GKX3ESlR7vjwDr7a8hXT+k+jbtW6QccREREREREpUtH6Z9W1QGt3b+vubYDWwArgfODhKL2HSIny1jdv8fSCpxnecTgXnnxh0HFERERERESKXLSKDE3d/avsF+7+NaGiw+ootS9SoqTtSGPw5MG0qdeG5O7JQccREREREREpFtGaLrHSzJ4GXgm/vgZYZWYVgPQovYdIiZCZlUn/t/qTnpXOxF4TKV+mfNCRREREREREikW0igwDgd8DfyK0JsNnwHBCBYZuUXoPkRLhb7P/xqepnzLut+M4tdapQccREREREREpNlEpMrj7PuCx8COv3b90n5klAv8GtgKrgK5AKrDb3YfnufYfQGVgr7vfFY3cItE2Z90c7v/kfvqf0Z/rzrwu6DgiIiIiIiLFKiprMphZJzObbmarzGx19uMIbm0CTHH364HmwN5wph/ytJ8IlHP3W4EyZtYgGrlFomnbvm30fbMvJ9U4idGXjg46joiIiIiISLGL1nSJMcBtwEIg81fctxgYYWbXAOOBF909y8z+aWZnuPuy8HUJQFr4+Tqgfq7XIoFzd4a+N5SNuzby+fWfU71C9aAjiYiIiIiIFLto7S6xw92nuvtmd/8x+3EE9w0C7nP384DfuHtW+PhmoGqu6zYQKiwANADW523IzIaa2QIzW7Bly5YIPorIrzdm8Rje+PoNks9Lpl1Cu6DjiIiIiIiIBMLcPfJGQusllAHeBA5kH3f3RYe5rwVwP6E1GXYDdQhNmSgL3Ai0J7QV5lNm9negAnDA3f9aWLtt27b1BQsWHPXnEfk1vtnyDW1S2tApsRPT+k8jzqJVuxMREREREYk9ZrbQ3dsWeC5KRYaPCjjs4REKxU5FBiku+zP20/659mzatYmlw5ZSr1q9oCOJiIiIiIgUqcKKDNHaXULbVMox6S/T/8KyH5Yxpe8UFRhEREREROSYF1GRwcz6u/sEM7u9oPPu/s9I2heJZe+ufJcn5z/JbR1u49JTLw06joiIiIiISOAiHclQJfy1WgHnIp+HIRKjNuzcwKB3BtH6hNb8vfvfg44jIiIiIiISEyIqMrj7M+GnM9x9Tu5zZtYpkrZFYlVmVibXvXUd+zL2MbHXRCqUrRB0JBERERERkZgQrWXwnzzCYyIl3sNzHuajtR/x70v+zWm1Tws6joiIiIiISMyIdE2GjsDZQJ086zJUJ7SlpUipMm/9PP7vo//j2hbXMrDVwKDjiIiIiIiIxJRI12QoD1QNt5N7XYadQO8I2xaJKTv276DPpD40iG/Af37zH8ws6EgiIiIiIiIxJdI1GT4BPjGzF9w9NUqZRGKOu3PjezeStiONz67/jPiK8UFHEhERERERiTnRWpPhOTOrkf3CzGqa2bQotS0SuBeWvMCrX73KA90eoEP9DkHHERERERERiUnRKjLUdvft2S/cfRtwfJTaFgnUyq0r+cPUP9CtUTf+0ukvQccRERERERGJWdEqMmSZWWL2CzNrCHiU2hYJzIGMA/SZ1IdKZSsx/srxlInTeqYiIiIiIiK/JNKFH7ONAD4zs0/Cr7sAQ6PUtkhg/jrzryz+fjGTr51MQvWEoOOIiIiIiIjEtKgUGdz9AzNLAjoABtzm7luj0bZIUN7/9n0en/c4t5x1Cz1O6xF0HBERERERkZgX0XQJM2sa/poEJAIbgQ1AYviYSIm0adcmBr49kDPqnsHDFzwcdBwREREREZESIdKRDHcANwCPFXDOgfMibF+k2GV5FgPeHsDug7t5pdcrVCxbMehIIiIiIiIiJUJERQZ3vyH8tdvR3B9eLPLfwFZgFXBa+FQccL27Z+a69jtgOrDI3VMiyS1SmEc/f5QZq2eQclkKzeo0CzqOiIiIiIhIiRFRkcHMehZ23t3fPEwTTYAp7v6MmY1z9wHhdp8ATgTScl27G6iU55hIVH254UtGzBpB7+a9GZI0JOg4IiIiIiIiJUqk0yWyV8M7HjgbmBV+3Q34GDhckWExMMLMrgHGQ846DxXcPW8xoTWhRSWnAFPzNmRmQwnvaJGYmJj3tMhh7Tywkz6T+nBitRNJuSwFMws6koiIiIiISIkS6XSJQQBm9h7Q3N03hV/XA0YfQRODgPvc/VMze8PMvgT+BPy+gPfKCre938zisl/nOp8CpAC0bdvWj/5TybHq5vdvZs32NXw68FNqVqoZdBwREREREZESJ6LdJXJplF1gCPuB0FSIw/kAuNXM/gOsI7TmQhzwLzOrb2Ydzez3ZnaamY01s7HAx3kLDCKRGr90PBOWTeD+rvfTKbFT0HFERERERERKJHOP/B/9zezfwKnAREK7SlwL/M/db4m48aPQtm1bX7BgQRBvLSXQtz9+S1JKEkn1kpg1YBZl4soEHUlERERERCRmmdlCd29b0LlI12QAwN3/YGZXAl3Ch1Lc/a1otC1SlA5mHqTPpD6UiyvHhCsnqMAgIiIiIiISgagUGcIWAbvcfYaZVTazau6+K4rti0TdPbPuYeGmhbx59Zs0iG8QdBwREREREZESLSprMpjZDcAbwDPhQwnA29FoW6SofPjdhzzy+SPc1PYmrmx2ZdBxRERERERESrxoLfx4M9AJ2Ang7t8S2tZSJCb9sPsHBrw1gNPrnM5jFz4WdBwREREREZFSIVrTJQ64+0EzA8DMyhJaAFIk5mR5FgPfGciOAzuYMWAGlcpVCjqSiIiIiIhIqRCtkQyfmNndQCUzuwB4HXg3Sm2LRNWoeaP44H8f8PhFj9Pi+BZBxxERERERESk1olVkuBPYAiwHbgTeB+6JUtsiUbNw40LumnEXv236W25sc2PQcUREREREREqViKdLmFkcsMzdWwDPRh5JpGjsPribPpP6ULdqXcZcPobs6T0iIiIiIiISHREXGdw9y8yWmlmiu6+LRiiRonDL1Fv4btt3zBowi+MqHRd0HBERERERkVInWgs/1gO+MrP5wJ7sg+5+eZTaF4nIy8tf5oUlL3Bvl3vp2qhr0HFERERERERKpWityTASuAz4f8BjuR7yK6xcuZJWrVrlPKpXr86oUaNYunQpHTt2pGXLlvTo0YOdO3fmuzctLY1u3brRrFkzTj/9dJ544omcc0dyf2m2ettqhr03jE4NOvF/Xf8v6DgiIiIiIiKllrkf/U6TZlYRGAacQmjRxzHunhGlbEetbdu2vmDBgqBjRCQzM5OEhAS++OILevfuzaOPPkrXrl0ZO3Ysa9as4YEHHjjk+k2bNrFp0yaSkpLYtWsXbdq04e2336Z58+a0a9fusPeXVumZ6XR+vjOrflzFkhuX0LBGw6AjiYiIiIiIlGhmttDd2xZ0LtKRDC8CbQkVGC5BoxeiZubMmZx88sk0bNiQlStX0qVLFwAuuOACJk2alO/6evXqkZSUBEC1atVo1qwZGzZsADii+0urez+6l/kb5vNsj2dVYBARERERESlikRYZmrt7f3d/BugNnBOFTAK88sor9OnTB4AWLVowefJkAF5//XXS0tIKvXft2rUsXryY9u3bH9X9pcXM1TN5aM5D3JB0A72b9w46joiIiIiISKkXaZEhPfvJ0UyTMLNEM5tsZmPN7C4z62tmz5rZODOrkufaf5jZv8zsHxFmjnkHDx5k8uTJXHXVVQCMHTuW0aNH06ZNG3bt2kX58uV/8d7du3fTq1cvRo0aRfXq1X/1/aXFlj1buO6t62hauymjLh4VdBwREREREZFjQqS7S5xpZtmrCBpQKfzaAHf36oe5vwkwxd2fMbNxQBt3v8rMLgN6AuMhVIwAyrn7rWb2iJk1cPdS+8/xU6dOJSkpibp16wLQtGlTPvzwQwBWrVrFlClTCrwvPT2dXr160a9fP3r27Jlz/EjvLy3cnUHvDOKnfT8xtd9UKperHHQkERERERGRY0JEIxncvYy7Vw8/qrl72VzPD1dgAFgMXGtms4CPgOxVKFOB+rmuSwCyiwrr8pwDwMyGmtkCM1uwZcuWo/9QMWDixIk5UyUANm/eDEBWVhYPPvggw4YNy3ePuzN48GCaNWvG7bfffsi5I7m/NHly/pNM+XYKj174KGeecGbQcURERERERI4Z0drC8mgNAu5z9/OA3+Q6ngisz/V6Az8XFhrkOQeAu6e4e1t3b1unTp2iylvk9u7dy/Tp0w8ZiTBx4kSaNGlC06ZNOfHEExk0aBAAGzdu5NJLLwVgzpw5jB8/nlmzZuVsgfn+++8Xen9ptOT7Jfx5+p/p0aQHN7e7Oeg4IiIiIiIix5SItrCM+M3NWgD3A1uB3cAiQotHVgJuBs4AWrv7U2b2d6ACcMDd/1pYu6VhC0v59fYc3EOblDbsOriLpcOWUrty7aAjiYiIiIiIlDqFbWEZ6ZoMEXH3FYR2pcjt5VzP54YfHK6wUFK9tPwlRswcwbod60iMTyS5ezL9WvYLOlaJ9McP/siqH1cxc8BMFRhEREREREQCEGiR4Vj30vKXGPruUPam7wUgdUcqQ98dCqBCw6/02levMWbxGO7ufDfdTuoWdBwREREREZFjUtBrMhzTRswckVNgyLY3fS8jZo4IKFHJtHb7Woa+O5QO9Ttw/7n3Bx1HRERERETkmKUiQ4DW7VhX4PHUHakkf5rMrDWz2H1wdzGnKlkysjLoO6kvjvNyz5cpV6Zc0JFERERERESOWZouEaDE+ERSd6TmO142riz3fHQPAHEWxxl1z6Bj/Y50rN+RsxucTeOajTGz4o4bk0Z+PJK56+fySq9XOKnmSUHHEREREREROaYFurtEUSkpu0vkXZMBoHK5yqT0SOHSUy7liw1f8Hna58xdP5cv1n/BroO7AKhTuQ4dG3Tk7Ppn07FBR9qe2JbK5SoH9TEC8/HajznvxfMY1GoQY64YE3QcERERERGRY0Jhu0uoyBCwI91dIjMrk6+2fMXctLnMXT+Xz9M+59ufvgVCIx9andAqZ6RDx/odSYxPLDWjHVauXMk111yT83r16tXcec+dJL+cTNbWLJrUasLOHTupUaMGS5YsOeTe/fv306VLFw4cOEBGRga9e/dm5MiRACxdupRhw4axe/duGjVqxEsvvUT16tWL86OJiIiIiIiUOCoylFJb925l3vp5OaMd5m+YnzMqol7VejkFh44NOpJUL4mKZSsGnDhymZmZJCQkcMaIM/hkxyfMGzyP1vVac8cddxAfH8+99957yPXuzp49e6hatSrp6el07tyZJ554gg4dOtCuXTseffRRunbtytixY1mzZg0PPPBAQJ9MRERERESkZCisyKA1GUqw2pVrc1mTy7isyWVAaBHEZT8sY27aXD5f/zlz0+Yy6ZtJAJQvU56kekk5Uyw61u9IQvWEIOMflZkzZ1KlbhWm/zSdxy96nNb1WuPuvPbaa8yaNSvf9WZG1apVAUhPTyc9PT1nhMfKlSvp0qULABdccAEXXXSRigwiIiIiIiIRUJGhFCkbV5akekkk1Uvi5rNuBuD73d8fMsVi9Jej+ee8fwKhhSdzLyjZ6oRWMb87w9PPP826Buu49NRL+WP7PwIwe/Zs6taty6mnnlrgPZmZmbRp04b//e9/3HzzzbRv3x6AFi1aMHnyZK644gpef/110tLSiu1ziIiIiIiIlEaaLnGMOZh5kCXfL8mZYjE3bS5pO0N/XFcsW5F2J7bLmWLRsX5H6latG3Din23fs53adWtz3PDjWPHnFRxf5XgAbrrpJk455RTuuOOOwu/fvp0rr7ySJ598khYtWvDf//6XW2+9lR9//JHLL7+cf/3rX/z444/F8VFERERERERKLK3JIIVav3P9IaMdFm1aRHpWOgCNazY+ZEHJlnVbUjYumAEwF99zMdMmTmP69Omc3/h8ADIyMkhISGDhwoXUr1//sG2MHDmSKlWqMHz48EOOr1q1iv79+zN//vwiyS4iIiIiIlJaaE0GKVT96vW56vSruOr0qwDYn7GfRZsW5Yx2mLlmJi8tfwmAKuWqcFbCWTmFhw71O1Crcq0izzjp60lMe3sal1x5SU6BAWDGjBk0bdr0FwsMW7ZsoVy5ctSoUYN9+/YxY8YM7rzzTgA2b97M8ccfT1ZWFg8++CDDhg0r8s8hIiIiIiJSmqnIIPlULFuRsxuczdkNzgZCOzSk7kgNLSgZLjw8NOchMj0TgCa1mvy8k0X9jjSv05wycWWilmfdjnUMnjSYMmvL8OLdLx5y7pVXXqFPnz6HHNu4cSNDhgzh/fffZ9OmTfzud78jMzOTrKwsrr76ai67LLRQ5sSJExk9ejQAPXv2ZNCgQVHLLCIiIiIicizSdAk5KnsO7mHBxgWhdR3C0yy27t0KQPUK1Wmf0D5ntEP7+u2pUbHGUb1PRlYG5714Hku+X8LiGxdz8nEnR/FTiIiIiIiIyK+l6RISdVXKV6Fro650bdQVCI12+G7bd4eMdnhw9oNkeRaG0bxO85wFJc9ucDZNajUhzuIO+z7JnyYze91sJlw5QQUGERERERGRGBfoSAYzOwfoR6jY0RyYDcQD7YG73H1armu/A6YDi9w9pbB2NZIhNuw6sIv5G+bnjHSYt34e2/ZvA6BmxZp0qN8hZ5rFWQlnUa1CNQBeWv4SI2aOYN2OdThO5wadmX397CA/ioiIiIiIiITF7EgGd58NzDaz3wJfuvszAGb2HjAjz+W7gUpAWrGGlKNWrUI1ujfuTvfG3QHI8ixW/bgqNNIhvJvF1P9NBSDO4mh5fEtqV6rN7LTZHMw8mNPOwk0LeWn5S/Rr2S+QzyEiIiIiIiJHJibWZDCz14Ah7r7TzM4CLnP3e/NcEwcYMMXdLy6gjaHAUIDExMQ2qampxZBcIrV9/3a+WP9FzmiHGatn4OT/nmwY35C1f1pb/AFFRERERETkEDE7kgHAzBKBHe6+M3xoCPC3vNe5e1b4+v1mFpf9Otf5FCAFQtMlija1REuNijW46JSLuOiUiwCIG1nwOg3rdqwrzlgiIiIiIiJyFAIvMgCDgecBzKwaUMvd14ZfdwRaAzOBO8PXf5y3wCClR2J8Iqk78o9CSYxPDCCNiIiIiIiI/BqBFxnc/b5cz3cBvXK9ngvMDb+8vpijSQCSuycz9N2h7E3fm3OscrnKJHdPDjCViIiIiIiIHInD7yEoUoz6texHSo8UGsY3xDAaxjckpUeKFn0UEREREREpAWJi4cdo0xaWIiIiIiIiIkWjsIUfNZJBRERERERERKJCRQYRERERERERiQoVGUREREREREQkKkrlmgxmtgXIvw9ibKsNbA06RIxRn+SnPslPfVIw9Ut+6pP81Cf5qU/yU5/kpz4pmPolP/VJfuqT/EpinzR09zoFnSiVRYaSyMwW/NLCGccq9Ul+6pP81CcFU7/kpz7JT32Sn/okP/VJfuqTgqlf8lOf5Kc+ya+09YmmS4iIiIiIiIhIVKjIICIiIiIiIiJRoSJD7EgJOkAMUp/kpz7JT31SMPVLfuqT/NQn+alP8lOf5Kc+KZj6JT/1SX7qk/xKVZ9oTQYRERERERERiQqNZBARERERERGRqFCRIWBm9lsze9bM3jGzC4POEwvMrJmZ/cfM3jCzm4LOEyvMrIqZLTSzy4LOEivM7Fwzmx3+fjk36DyxwMzizCzZzJ40s98FnScWmNk54e+R58zs86DzxAIzSzSzyWY21szuCjpPLDCz5mb2mpk9bWa9g84TJDNrbGZjzOyN8Ou+4d9VxplZlaDzBaWAfrndzBaZWYugswWlgD55Pvx40czKBJ0vCAX0yV/C//95x8yOCzpfEPL2SfjYYDP7JMhcQSrg+2Rq+HeVR4POFg0qMgTM3d929xuAgcA1AceJCe7+jbsPA64GSs1WLlFwJ/Ba0CFijAO7gYrA+oCzxIorgAQgHfUJAO4+O/wz5T3gxaDzxIgmwBR3vx5oHnSYGHEJ8KS73wQMCDpMkNx9tbsPznXoyvDvKq8BPQOKFbi8/eLu/wQmBxgpcAX0ySB3HwRsB04MLFiACuiTh919CPAx0CCwYAHK2ydmdhJQC9gSXKpgFfBzdi+hv81/CChSVKnIEDvuAUYHHSJWmNnlwGfAzKCzxAIzOx/4mlLygyeKZrv7JYQKMCODDhMjTgPmuvvtgEYCHaovMDHoEDFiMXCtmc0CPgo6TIwYT6hPHiH0y6/8LHsBr1SgfpBBJPaZWVOggrunBZ0lFphZeTN7DvgNof+GjmlmFgfcAYwKOEqsucrdhwL1zOyMoMNESkWGgFnIQ8BUd18UdJ5Y4e6T3f1soF/QWWJEN6ADoT+Sbgj/gD7muXtW+Ok2oEKQWWLIekL9AZAZZJBYYmaJwA533xl0lhgxCLjP3c8j9IvvMc/dN7v7zcBdwNag88SoRDRCSgoRnjoyHLg16Cyxwt0PhkcypBAabXisawzUAR4GzjSzSwPOExNy/U67GagaZJZoKBt0AOEW4Hwg3sxOcff/BB0oaOG59T0J/dH4fqBhYoS7jwAws4HA1lw/iI5pZtYTuAioAfw72DQx403gSTM7B/g06DAxZDDwfNAhYsgHwP1m1hdYG3CWmGBmjYC7gSrAI8GmCZaZ1QKSgdZm9lfgbTN7GqgE3BxouAAV0C8bgcuAZmb2oLsvDzRgAPL0yQjgD8BU4F/hPjnmilIFfJ/UACoDNQn9C/4xJ3efEPoX+2vCx+u7+zH5u34B3ydNCU2ZKEuoAFOiaQtLEREREREREYkKDbkWERERERERkahQkUFEREREREREokJFBhERERERERGJChUZRERERERERCQqVGQQERERERERkahQkUFEREQAMDM3s8dyvR5uZvdH+T0+P4Jr1ppZ7QKO329mw6OZR0RERKJLRQYRERHJdgDoWdAf+NHi7mcXVduFMbMyQbyviIjIsUZFBhEREcmWAaQAtx3JxWb2gpn9y8w+N7PVZtY717k/m9mXZrbMzEbmOr47/DXOzJ4ys6/M7D0zez/3/cAtZrbIzJabWdNcx880s1lm9q2Z3RBuy8zsETNbEb7+mvDxc83sIzN7GVhuZlXMbIqZLQ1fe81R95SIiIgUqGzQAURERCSmjAaWmdnDR3h9PaAz0BSYDLxhZhcCpwJnAQZMNrMu7v5prvt6Ao2AlsDxwDfA2Fznt7p7kpn9HhgODAkfPwPoAFQBFpvZFKAj0Ao4E6gNfGlm2e91FtDC3deYWS9go7v/BsDM4o/wM4qIiMgR0kgGERERyeHuO4FxwK1HeMvb7p7l7l8DdcPHLgw/FgOLCBUgTs1zX2fg9fC93wMf5Tn/ZvjrQkLFiGzvuPs+d98avuescFsT3T3T3X8APgHaha+f7+5rws+XA+eb2UNmdo677zjCzygiIiJHSEUGERERyWsUMJjQaIHDOZDrueX6+nd3bxV+nOLuY/LcZxQuu91MDh156Xmu88O0tSfnQvdVQBtCxYa/m9m9h8kgIiIiv5KKDCIiInIId/8JeI1QoeFoTAOuN7OqAGaWYGbH57nmM6BXeG2GusC5R9j2FWZW0cxqhe/5EvgUuMbMyphZHaALMD/vjWZ2IrDX3ScAjwJJv/6jiYiISGG0JoOIiIgU5DHgD0dzo7t/aGbNgLlmBrAb6A9sznXZJKA7sAJYBXwBHMn0hfnAFCAReMDdN5rZW4TWZVhKaGTDX9z9+zwLRkJo/YdHzCwLSAduOprPJyIiIr/M3POOOhQREREpemZW1d13h0clzAc6hddnEBERkRJKIxlEREQkKO+ZWQ2gPKFRCSowiIiIlHAaySAiIiKFMrMRwFV5Dr/u7slB5BEREZHYpSKDiIiIiIiIiESFdpcQERERERERkahQkUFEREREREREokJFBhERERERERGJChUZRERERERERCQqVGQQERERERERkaj4/zcMPSLBvWlWAAAAAElFTkSuQmCC\n", "text/plain": [ - "
" + "
" ] }, "metadata": { @@ -274,21 +196,27 @@ "##### x coordinates\n", "x = np.arange(2,16,1)\n", "mean_scores = []\n", - "mean_times = []\n", + "mean_training_times = []\n", + "mean_predicting_times = []\n", "for i in range(len(all_scores)):\n", - " mean_scores += [round(statistics.mean(all_scores[i]),3)]\n", - " mean_times += [round(statistics.mean(all_times[i]),3)]\n", + " mean_scores += [round(statistics.mean(all_scores[i]),5)]\n", + " mean_training_times += [round(statistics.mean(all_training_times[i])*1000,2)]\n", + " mean_predicting_times += [round(statistics.mean(all_predicting_times[i])*1000,2)]\n", "mean_scores = np.float64(mean_scores)\n", - "mean_times = np.float64(mean_times)\n", + "mean_training_times = np.float64(mean_training_times)\n", + "mean_predicting_times = np.float64(mean_predicting_times)\n", "\n", "### Create plot\n", - "fig, figs = plt.subplots(nrows=2, ncols=1, figsize=(15,10))\n", + "fig, figs = plt.subplots(nrows=3, ncols=1, figsize=(15,10))\n", "fig.tight_layout(pad=3.0)\n", "figs[0].plot(x,mean_scores, marker='o', color='r')\n", - "figs[1].plot(x,mean_times, marker='o', color='b')\n", + "figs[1].plot(x,mean_training_times, marker='o', color='b')\n", + "figs[2].plot(x,mean_predicting_times, marker='o', color='g')\n", + "\n", "### Add every x coordinates\n", "figs[0].tick_params(axis='both', which='both', labelsize=7, labelbottom=True)\n", "figs[1].tick_params(axis='both', which='both', labelsize=7, labelbottom=True)\n", + "figs[2].tick_params(axis='both', which='both', labelsize=7, labelbottom=True)\n", "\n", "for i in range(len(x)):\n", " figs[0].annotate(mean_scores[i], # this is the text\n", @@ -296,27 +224,36 @@ " textcoords=\"offset points\", # how to position the text\n", " xytext=(15,5), # distance from text to points (x,y)\n", " ha='center') # horizontal alignment can be left, right or center\n", - " figs[1].annotate(mean_times[i], # this is the text\n", - " (x[i],mean_times[i]), # these are the coordinates to position the label\n", + " figs[1].annotate(mean_training_times[i], # this is the text\n", + " (x[i],mean_training_times[i]), # these are the coordinates to position the label\n", + " textcoords=\"offset points\", # how to position the text\n", + " xytext=(15,5), # distance from text to points (x,y)\n", + " ha='center') # horizontal alignment can be left, right or center\n", + " figs[2].annotate(mean_predicting_times[i], # this is the text\n", + " (x[i],mean_predicting_times[i]), # these are the coordinates to position the label\n", " textcoords=\"offset points\", # how to position the text\n", " xytext=(15,5), # distance from text to points (x,y)\n", " ha='center') # horizontal alignment can be left, right or center\n", "\n", "figs[0].set_xticks(x)\n", "figs[1].set_xticks(x)\n", + "figs[2].set_xticks(x)\n", " \n", "### Add title and axis names\n", "figs[0].title.set_text('Mean scores for k neighbors')\n", "figs[1].title.set_text('Mean training times for k neighbors')\n", + "figs[2].title.set_text('Mean predicting times for k neighbors')\n", "figs[0].set_xlabel('N_neighbors')\n", "figs[1].set_xlabel('N_neighbors')\n", + "figs[2].set_xlabel('N_neighbors')\n", "figs[0].set_ylabel('Score')\n", - "figs[1].set_ylabel('Times')" + "figs[1].set_ylabel('Training times (in ms)')\n", + "figs[2].set_ylabel('Predicting times (in ms)')" ] }, { "cell_type": "code", - "execution_count": 108, + "execution_count": 28, "id": "cc24e898", "metadata": {}, "outputs": [ @@ -324,15 +261,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "Computing for j = 10 %\n", - "Computing for j = 20 %\n", - "Computing for j = 30 %\n", - "Computing for j = 40 %\n", - "Computing for j = 50 %\n", - "Computing for j = 60 %\n", - "Computing for j = 70 %\n", - "Computing for j = 80 %\n", - "Computing for j = 90 %\n" + "Computing for j = 10 %...\n", + "Computing for j = 20 %...\n", + "Computing for j = 30 %...\n", + "Computing for j = 40 %...\n", + "Computing for j = 50 %...\n", + "Computing for j = 60 %...\n", + "Computing for j = 70 %...\n", + "Computing for j = 80 %...\n", + "Computing for j = 90 %...\n", + "Done\n" ] } ], @@ -354,30 +292,31 @@ "### Train the algorithm with various percentage of the dataset used for training\n", "### from 10% to 90% by 10% increment\n", "for j in range (1, 10):\n", - " print(\"Computing for j =\", j*10, \"%\")\n", + " print(\"Computing for j =\", j*10, \"%...\")\n", " # Split the dataset\n", " xtrain, xtest, ytrain, ytest = model_selection.train_test_split(data, target,train_size=(j/10))\n", " \n", " # Training on xtrain,ytrain\n", - " t1 = round(time.time(),3)\n", + " t1 = round(time.time(),5)\n", " clf = neighbors.KNeighborsClassifier(n_neighbors=3)\n", " clf.fit(xtrain, ytrain)\n", - " t2 = round(time.time(),3)\n", + " t2 = round(time.time(),5)\n", " \n", " # Predicting on xtest\n", " pred = clf.predict(xtest)\n", - " t3 = round(time.time(),3)\n", - " training_times.append(round(t2-t1,3))\n", - " prediction_times.append(round(t3-t2,3))\n", + " t3 = round(time.time(),5)\n", + " training_times.append(round(t2-t1,5))\n", + " prediction_times.append(round(t3-t2,5))\n", " # Probabilités des prédictions sur xtest\n", " pred_proba = clf.predict_proba(xtest)\n", " # On calcule le score obtenu sur xtest avec les étiquettes ytest\n", - " scores.append(round(clf.score(xtest, ytest),3))" + " scores.append(round(clf.score(xtest, ytest),3))\n", + "print(\"Done\")" ] }, { "cell_type": "code", - "execution_count": 109, + "execution_count": 30, "id": "cbb5eda6", "metadata": {}, "outputs": [ @@ -386,24 +325,24 @@ "output_type": "stream", "text": [ "training_times : \n", - " [0.028, 0.003, 0.004, 0.004, 0.005, 0.006, 0.007, 0.008, 0.013]\n", + " [0.00296, 0.002, 0.003, 0.00399, 0.00698, 0.00499, 0.00698, 0.00698, 0.00898]\n", "prediction_times : \n", - " [0.252, 0.248, 0.262, 0.242, 0.242, 0.232, 0.18, 0.171, 0.081]\n" + " [0.19548, 0.25033, 0.24833, 0.2244, 0.24136, 0.22241, 0.17752, 0.12467, 0.08975]\n" ] }, { "data": { "text/plain": [ - "Text(108.0, 0.5, 'Times(in ms)')" + "Text(108.0, 0.5, 'Times (in ms)')" ] }, - "execution_count": 109, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -420,15 +359,15 @@ "print(\"training_times : \\n\", training_times)\n", "print(\"prediction_times : \\n\", prediction_times)\n", "\n", - "training_times = [i*1000 for i in training_times]\n", - "prediction_times = [i*1000 for i in prediction_times]\n", + "training_times_ms = [round(i*1000,2) for i in training_times]\n", + "prediction_times_ms = [round(i*1000,2) for i in prediction_times]\n", "\n", "### Create plot\n", "fig, figs = plt.subplots(nrows=3, ncols=1, figsize=(15,10))\n", "fig.tight_layout(pad=3.0)\n", "figs[0].plot(x,scores, marker='o', color='r')\n", - "figs[1].plot(x,training_times, marker='o', color='b')\n", - "figs[2].plot(x,prediction_times, marker='o', color='g')\n", + "figs[1].plot(x,training_times_ms, marker='o', color='b')\n", + "figs[2].plot(x,prediction_times_ms, marker='o', color='g')\n", "### Add every x coordinates\n", "figs[0].tick_params(axis='both', which='both', labelsize=7, labelbottom=True)\n", "figs[1].tick_params(axis='both', which='both', labelsize=7, labelbottom=True)\n", @@ -440,13 +379,13 @@ " textcoords=\"offset points\", # how to position the text\n", " xytext=(15,5), # distance from text to points (x,y)\n", " ha='center') # horizontal alignment can be left, right or center\n", - " figs[1].annotate(training_times[i], # this is the text\n", - " (x[i],training_times[i]), # these are the coordinates to position the label\n", + " figs[1].annotate(training_times_ms[i], # this is the text\n", + " (x[i],training_times_ms[i]), # these are the coordinates to position the label\n", " textcoords=\"offset points\", # how to position the text\n", " xytext=(15,5), # distance from text to points (x,y)\n", " ha='center') # horizontal alignment can be left, right or center\n", - " figs[2].annotate(prediction_times[i], # this is the text\n", - " (x[i],prediction_times[i]), # these are the coordinates to position the label\n", + " figs[2].annotate(prediction_times_ms[i], # this is the text\n", + " (x[i],prediction_times_ms[i]), # these are the coordinates to position the label\n", " textcoords=\"offset points\", # how to position the text\n", " xytext=(15,5), # distance from text to points (x,y)\n", " ha='center') # horizontal alignment can be left, right or center\n", @@ -464,12 +403,12 @@ "figs[2].set_xlabel('Percentage of training dataset')\n", "figs[0].set_ylabel('Score')\n", "figs[1].set_ylabel('Times (in ms)')\n", - "figs[2].set_ylabel('Times(in ms)')" + "figs[2].set_ylabel('Times (in ms)')" ] }, { "cell_type": "code", - "execution_count": 104, + "execution_count": 33, "id": "572d0a52", "metadata": {}, "outputs": [ @@ -477,19 +416,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "Computing for taille échantillon = 5000 données\n", - "Computing for taille échantillon = 10000 données\n", - "Computing for taille échantillon = 15000 données\n", - "Computing for taille échantillon = 20000 données\n", - "Computing for taille échantillon = 25000 données\n", - "Computing for taille échantillon = 30000 données\n", - "Computing for taille échantillon = 35000 données\n", - "Computing for taille échantillon = 40000 données\n", - "Computing for taille échantillon = 45000 données\n", - "Computing for taille échantillon = 50000 données\n", - "Computing for taille échantillon = 55000 données\n", - "Computing for taille échantillon = 60000 données\n", - "Computing for taille échantillon = 65000 données\n" + "Computing for taille échantillon = 5000 données...\n", + "Computing for taille échantillon = 10000 données...\n", + "Computing for taille échantillon = 15000 données...\n", + "Computing for taille échantillon = 20000 données...\n", + "Computing for taille échantillon = 25000 données...\n", + "Computing for taille échantillon = 30000 données...\n", + "Computing for taille échantillon = 35000 données...\n", + "Computing for taille échantillon = 40000 données...\n", + "Computing for taille échantillon = 45000 données...\n", + "Computing for taille échantillon = 50000 données...\n", + "Computing for taille échantillon = 55000 données...\n", + "Computing for taille échantillon = 60000 données...\n", + "Computing for taille échantillon = 65000 données...\n", + "Computing for taille échantillon = 70000 données...\n", + "Done\n" ] } ], @@ -499,8 +440,8 @@ "training_times = []\n", "prediction_times = []\n", "\n", - "for i in range (1,14):\n", - " print(\"Computing for taille échantillon = \", i*5000, \" données\")\n", + "for i in range (1,15):\n", + " print(\"Computing for taille échantillon = \", i*5000, \" données...\")\n", " ### Create vector of 5000 random indexes\n", " rand_indexes = np.random.randint(70000, size=i*5000)\n", " ### Load data with the previous vector\n", @@ -511,41 +452,42 @@ " xtrain, xtest, ytrain, ytest = model_selection.train_test_split(data, target,train_size=(0.9))\n", "\n", " # Training on xtrain,ytrain\n", - " t1 = round(time.time(),3)\n", + " t1 = round(time.time(),5)\n", " clf = neighbors.KNeighborsClassifier(n_neighbors=3)\n", " clf.fit(xtrain, ytrain)\n", - " t2 = round(time.time(),3)\n", + " t2 = round(time.time(),5)\n", "\n", " # Predicting on xtest\n", " pred = clf.predict(xtest)\n", - " t3 = round(time.time(),3)\n", - " training_times.append(round(t2-t1,3))\n", - " prediction_times.append(round(t3-t2,3))\n", + " t3 = round(time.time(),5)\n", + " training_times.append(round(t2-t1,5))\n", + " prediction_times.append(round(t3-t2,5))\n", " # Probabilités des prédictions sur xtest\n", " pred_proba = clf.predict_proba(xtest)\n", " # On calcule le score obtenu sur xtest avec les étiquettes ytest\n", - " scores.append(round(clf.score(xtest, ytest),3))" + " scores.append(round(clf.score(xtest, ytest),3))\n", + "print(\"Done\")" ] }, { "cell_type": "code", - "execution_count": 107, + "execution_count": 34, "id": "61279a41", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Text(108.0, 0.5, 'Times(in ms)')" + "Text(108.0, 0.5, 'Times (in ms)')" ] }, - "execution_count": 107, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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iF0xB+w44H18Y9UtgUJCZFmrzD2C3c+6v5gsaP+GcO9fMGuGfiNPWObfXzF4BZjjnnjP/+NvD+IK7d5elwEJ5GRNNhRARERGRIjGzt+3oC0+KSMXVDfjeObcimJI0BbgsV5u2wEzILkrd1HIeo10FqG6+kGoNggLEzj8ha1lJnEAxKBdjosCCiIiIiBSJc+7CIxRPFBEJ14jIei7ryPsY5wVAP4Cg+G4TICl4IswYYA3+SUI7nHPvFXuPi1+5GBMFFkRERERERIqZmV1gZsvM7HvzjxDOvf4EM3vNzL4xs3Qzax+27k4z+9bMFpnZZDOrVrK9j5loj7TNPTd/NHCCmc3HPyHoa/zTnU7A38lvBiQCNYOnt5R15WJMylWNhZNPPtk1bdo03t0QERERERHJ5pxj0aJFtGzZkuOOO46lS5fSrFkzqlevnt1m3bp1VKpUicTERPbt28eaNWto2bIlBw4cYNmyZbRr145KlSqxYsUKEhISOPnkk+N4RkWze/duNm7cyGmnnQbAxo0bAWjYMPoDg0Lj1rZtW3bu3MmOHTsIXe9t27aNPXv2kJycnN1+2bJlJCUlUbNmzeI9kRgqa2Py1VdfbXXO1YvasfLydfrppzsREREREZHS5LPPPnO9evXKfv3ggw+6Bx98MKLNRRdd5D755JPs182bN3c//vijW7dunUtKSnLbtm1zBw8edH369HHvvvtuifU9lg4ePOiaNWvmVqxY4fbv3+86duzoFi1aFNEmIyPD7d+/3znn3Pjx493VV1/tnHPuiy++cG3btnV79uxxhw8fdtdcc417/PHHI7Y9++yz3ZdfflkyJxMjZW1MgLkuyrW4pkKIiIiIiIgUo/Xr19O4cePs10lJSaxfvz6iTadOnZg2bRoA6enprF69mnXr1tGoUSPuvvtukpOTadiwIXXq1KFXr14l2v9YqVKlCuPGjaN37960adOGK6+8knbt2vHUU0/x1FNPAbBkyRLatWtH69atefvtt3nssccA6N69O/3796dLly506NCBw4cPM2zYMABee+01kpKS+Pzzz+nTpw+9e/eO2zkerfIyJuVqKkRqaqqbO7fMPFlEREREREQqgKlTp/Luu+8yYcIEAF544QXS09MZO3ZsdpudO3dy++238/XXX9OhQweWLl3KhAkTSE5O5vLLL+fll1+mbt26XHHFFfTv359f/7o8lBeQssbMvnLOpeZeXiUenREREREREakokpKSWLs2p/D/unXrSExMjGiTkJDApEmTAD9dvVmzZjRr1ox3332XZs2aUa+en9ber18/PvvsMwUWpFTRVAgREREREZFi1LVrV5YvX87KlSs5cOAAU6ZM4dJLL41os337dg4cOADAhAkT6NGjBwkJCSQnJ/PFF1+QmZmJc46ZM2fSpk2beJxG0aSlQdOmUKmS/56WFu8exV85HBNlLIiIiIiIiBSj8Hn0WVlZDBkyJHsePcDw4cNZsmQJ11xzDZUrV6Zt27ZMnDgRiJxHX6VKFTp37pw9j77US0uDYcMgM9O/Xr3avwYYPDh+/YqncjomqrEgIiIiIiIi+Tt0CHbvhl27/Ff4zwUte/NN2Lcv7/6OOw7ati358ygNFi+GgwfzLm/SBFatKvHuHC3VWBARERERESkuaWkwciSsWQPJyTBqVPzuQGdlHX0QoKC2e/cW7rhmULu2/6pVK3pQAfyFddOmMTvdMmXBgujL16wp2X7EWIkHFsysJvAkcACY5ZxLC5YPAPoAB4ExwHfAC8AeoCpwvXPucEn3V0REREREpEDHmt4eCgQc7QV/fsuOJhBQq1ZOMCD01aRJ9OVHWlajht9nSNOmfixya9IEXn+9cH0sb/Ibk+TkEu9KLMUjY6Ef8Kpz7k0zexkIVaq4HBgMnAA8CNwB7HfO3WhmTwA1gV1x6K+IiIiIiEj+Ro7MCSqEZGbCLbfAl18eOTBwLIGAWrX8RenRBgGiBQJibdSoyIAL+GOOGlV8xyztyumYxCOwkAQsDH7OCls+BhgL/IgPLmQCzszeAjY656IGFcxsGDAMILmMR3lERERERKSMcA6+/x5mzYp+Bxpgxw549tm8F/bhgYBoAYD8lhd3ICDWQtkapWWKSGlQTsekxIs3mtnVQIZz7v/MbIpzbmCu9S2AW4EXgYucc/eb2R+B/3POzS9o3yreKCIiIiIixSI8kBD62rDBr6tUCQ5HmbWdnJx/0EGkDCpNxRunAePMrA/wppm94Jy72swuAi4BagG/B3YCd5nZk8DJwCNx6KuIiIiIiFREzsEPP0QGEtav9+tOOQV69sz5mjs3enr7gw+WdK9F4qLEAwvOuT3A9WGL0oLlM4AZuZoPKql+iYiIiIhIBVZQIKFBAzjnnJxAQsuWkVMSWrXy38tZertIYelxkyIiIiIiUvEcKZAQnpHQqtWRaxsMHqxAglRYleLdARERERGRsuSdd96hVatWtGjRgtGjR+dZn5GRQd++fenYsSPdunVj0aJFACxbtoyUlJTsr4SEBB599FEA7rvvPho1apS9bsaM3Im8pV+pH5dQIGHiRLj6ap9VcNppcOON8MEHcOaZ8O9/w5IlsHEjTJkCw4dD69Zlq2CiSByUePHG4qTijSIiIiJSnLKysmjZsiXvv/8+SUlJdO3alcmTJ9O2bdvsNr///e+pVasWf/nLX1i6dCm33HILM2fOzLOfRo0aMWfOHJo0acJ9991HrVq1uPvuu0v6lGKiVI6Lc7BiRWRGwrp1fl1RMhJEpFQVbxQRERERKZPS09Np0aIFzZs3B2DgwIFMnz494gJ68eLF3HvvvQC0bt2aVatWsWnTJho0aJDdZubMmZx66qk0adKkZE+gmJSKcSkokFC/fmQgQVkIIjGlqRAiIiIiIoW0fv16GjdunP06KSmJ9aF5+YFOnToxbdo0wF9wr169mnWhC9zAlClTGDQosk75uHHj6NixI0OGDCEjI6OYzqB4xGVcQoGEZ5+Fa66BJk2gRQsYOhTeew9+/nN48klYvBh+/BFefhluvhnatFFQQSTGFFgQERERESmkaNOILddF6ogRI8jIyCAlJYWxY8fSuXNnqlTJSRQ+cOAAb7zxBldccUX2sptvvpkffviB+fPn07BhQ+66667iO4liUCLjcsop3DVsWGQg4dRT4YYb4N134YwzFEgQiRNNhRARERERKaSkpCTWrl2b/XrdunUkJiZGtElISGDSpEmAv+Bu1qwZzZo1y17/9ttv06VLl4gpAOE/33jjjVx88cXFdQrFoljGxTka7NkDb70Fs2Zx4wcfcPHGjfDqqzlTG+69V1MbREoBBRZERERERAqpa9euLF++nJUrV9KoUSOmTJnCSy+9FNFm+/bt1KhRg6pVqzJhwgR69OhBQkJC9vrJkyfnSfffuHEjDRs2BOC1116jffv2xX8yMRSzcTnvPJg0KbtGwsY1a2gIUK8eryUm0j4xEf7zH2UhiJQyCiyIiIiIiBRSlSpVGDduHL179yYrK4shQ4bQrl07nnrqKQCGDx/OkiVLuOaaa6hcuTJt27Zl4sSJ2dtnZmby/vvv8/TTT0fs95577mH+/PmYGU2bNs2zvrQr0rhMmAArV8KsWWR+8AHvT53K0y+/7HdYrx707Mk9DRowf/t2rFo1miYn+3EJAjAiUnrocZMiIiIiIlIygkBC9teaNX55EEjI/lJGgkippMdNioiIiIhIyVq1KjKQsHq1X37yyT6AcM89/nvbtgokiJRheiqEiIiIiEhB0tKgaVOoVMl/T0uLd4/iL78xWbUKnnsOrrvOL2/WDK6/3hdg7NoVxo2DRYtg82aYOhVuuQXatVNQQaSM01QIEREREZH8pKXBsGGQmZmzrHp1eOIJGDAgfv2Kp5df9gGBvXtzllWuDHXrwrZt/nUoIyF8akMl3dMUKevymwqhwIKIiIiISG7OwdKlcOaZ8NNP8e5N2VC9Ojz8cM7UBgUSRMod1VgQEREREclPKJAQXg9g8+aCt/n730ugY6XQ//t/0Zfv2we33lqyfRGRUkGBBRERkQrqnXfe4fbbbycrK4uhQ4cyYsSIiPUZGRkMGTKEH374gWrVqvHss8/Svn17li1bxoCwFPAVK1Zw//33c8cddzB16lTuu+8+lixZQnp6OqmpeW5qiJQOBQUSkpKgd29/5/1Pf4ING/Ju36SJLzxYET35ZE4RxnDJySXfFxEpFRRYEBERqYCysrK45ZZbeP/990lKSqJr165ceumltG3bNrvNgw8+SEpKCq+99hpLly7llltuYebMmbRq1Yr58+dn76dRo0b07dsXgPbt2zNt2jRuuummeJyWSP4KCiQ0agS9evlAwjnn+IKDoWKCxx+ft8ZCjRowalTJ9r80GTVKYyIiERRYEBERqYDS09Np0aIFzZs3B2DgwIFMnz49IrCwePFi7r33XgBat27NqlWr2LRpEw0aNMhuM3PmTE499VSaNGkCQJs2bUrwLEQKUNhAQs+e0Lx5/k8lGDzYfx85Etas8XflR43KWV4RaUxEJBdVVBEREamA1q9fT+PGjbNfJyUlsX79+og2nTp1Ytq0aYAPRKxevZp169ZFtJkyZQqDBg0q/g7HwTvvvEOrVq1o0aIFo0ePzrM+IyODvn370rFjR7p168aiRYsAWLZsGSkpKdlfCQkJPProoyXc++JRqsckFEh46ikYOBAaNvQFBH/zG/j0Ux9ImDABvv8e1q6FF16AG26AU0898qMOBw/2j1E8fNh/1wW0xkREIihjQUREpAKK9lQoy3VxNWLECG6//XZSUlLo0KEDnTt3pkqVnP86HDhwgDfeeIOHHnqo2Ptb0oprqkhZVurGxDlYtiwyI2HTJr+uUSM477ycqQ0FZSSIiMgxU2BBRESkAkpKSmLt2rXZr9etW0diYmJEm4SEBCZNmgT4QESzZs1o1qxZ9vq3336bLl26REyNKC+Ka6pIWRb3MSkokJCYmBNI6NmzcFkIIiISMwosiIiIVEBdu3Zl+fLlrFy5kkaNGjFlyhReeumliDbbt2+nRo0aVK1alQkTJtCjRw8SEhKy10+ePLncToOINlVkzpw5EW1CU0XOPPPMiKki4RfR5WmqSImPiQIJIiJlhgILIiIiFVCVKlUYN24cvXv3JisriyFDhtCuXTueeuopAIYPH86SJUu45pprqFy5Mm3btmXixInZ22dmZvL+++/z9NNPR+z3tdde47e//S1btmyhT58+pKSk8O6775boucWCporkVexj4hx8911kIOHHH/06BRJEREo1BRZEREQqqIsuuoiLLrooYtnw4cOzfz7jjDNYvnx51G1r1KjBtm3b8izv27dvuagnoKkiecV8TAoKJDRsCL/8ZU4goUULBRJEREoxBRZEREREctFUkbyOeUycY/L48Qxq2BAGDVIgQUSkHFFgQUREpKJIS9Nz5wupuKaKlGVFGpMRI+Dpp2HWLDI/+oj3N23iaVAgQUSknLFo8+XKqtTUVDd37tx4d0NERKT0SUuDYcMgMzNnWfXqMH48/PrX8euXlB/OwfLlkVMbNm706xo2zAki9OwJp52mQIKISBlkZl8551JzL1fGgoiISHl08CAsXgxffQVz58LEiXDgQGSbvXvh6qth+HCoXTvnq1atyNcFLc+9rGZNqFQpPucsJaugQMIpp8A55yiQICJSQSiwICIiUtaFBxFCgYQFC2D/fr++du28QYVww4bBrl2we7f/vmsXbNgQuWzPnsL3p2bNogcmci8r7kCFpofkld+YKJAgIiL5KPGpEGZWE3gSOADMcs6lBcsHAH2Ag8AY4Cfgr8FmFwHtnXM7C9q3pkKIiHjvvPMOt99+O1lZWQwdOpQRI0ZErM/IyGDIkCH88MMPVKtWjWeffZb27dsDvvja0KFDWbRoEWbGs88+yxlnnMGAAQNYtmxZdpu6desyf/78kj61Iis3Y3LokA8izJ2bE0hYsAD27fPra9eGLl0gNRVOP91/tWgBzZvD6tV599ekCaxadeTjZmX54ELuAEToK9qygtoeTaAiFGgobGCioLbhgYpo00Nq1PDTQypqcCHamFSt6j9Hq1ZFBhLCpza0bKlAgohIBZDfVIh4BBauBrY75940s5edcwOC5a8Ag4ETgAedc0OD5fWAMc65a4+0bwUWREQgKyuLli1b8v7775OUlETXrl2ZPHkybdu2zW7z+9//nlq1avGXv/yFpUuXcssttzBz5kwArr32Ws466yyGDh3KgQMHyMzMpG7duhHHuOuuu6hTpw5//vOfS/LUiqzMjkkoiBDKQsgviHD66TmBhBYtot/hL20X0eGBilgEK8LPqyBmORkVW7b4Mc6tWjU488zYnm9Z8b//5Xy+wlWqBFdeqUCCiEgFV5pqLCQBC4Ofs8KWjwHGAj/igwsh1wPP57czMxsGDANITk6OaUdFRMqi9PR0WrRoQfPmzQEYOHAg06dPj7iIXrx4Mffeey8ArVu3ZtWqVWzatInq1asze/ZsnnvuOQCqVq1K1apVI/bvnOOVV17hww8/LJkTioEyMSbhQYTw6Qy5gwi/+U1OJsJppxV+mkAoeFBa0v4rV4aEBP8VC7kDFYUJTEyYEH1f+/YVPlBR3kQLKoCfBjF5csn2RUREyox4BBbW4YML84Hs/w0559KBdDNrAdwKYGYGnAP8I7+dOefGA+PBZywUW69FRMqI9evX07hx4+zXSUlJzJkzJ6JNp06dmDZtGmeeeSbp6emsXr2adevWUblyZerVq8f111/PggULOP3003nssceoWbNm9raffPIJDRo04LTTTiuxczpWpW5MDh2CJUvyTmfYu9evr1Xr2III+Rk8uPym+BclUPH++/lPD/n009j1rSxp2jT6mOjmjYiIFCAeZZunAZeb2b+BN83sBQAzuyhY9hdgdNC2J/CJK0/PxBQRKWbR/mRarpTlESNGkJGRQUpKCmPHjqVz585UqVKFQ4cOMW/ePG6++Wa+/vpratasyejRoyO2nTx5MoMGDSrWc4i1uI7JoUOwcCE89xzceiuccYa/+O3YEYYMgeef93PYhw/30xWWLoUdO+Djj+Gf/4SrroJWrfSkheIwapSfDhKuRg2/vKLSmIiISBGUeMaCc24PfnpDSFqwfAYwI1fbj4CPSq53IiJlX1JSEmvXrs1+vW7dOhITEyPaJCQkMGnSJMBfdDdr1oxmzZqRmZlJUlIS3bt3B6B///4RF9GHDh1i2rRpfPXVVyVwJrFTYmMSykTIPZ0hdybC8OE5mQgtWypoEC+lbXpIaaAxERGRItDjJkVEypmuXbuyfPlyVq5cSaNGjZgyZQovvfRSRJvt27dTo0YNqlatyoQJE+jRowcJCQkkJCTQuHFjli1bRqtWrZg5c2ZEHYIPPviA1q1bk5SUVNKndUyKZUwOHYKlS/lg0iRaV6lC0pVXwvz5kUGEzp0VRCjtyvP0kKLSmIiIyFFSYEFEpJypUqUK48aNo3fv3mRlZTFkyBDatWvHU089BcDw4cNZsmQJ11xzDZUrV6Zt27ZMnDgxe/uxY8cyePBgDhw4QPPmzbPv4gNMmTKlzE2DgBiMySOPMLhfPw7s3Enz445j0skn++kMe/cyBRh0/PFw6qlw0005T2dQEEFEREQqiBJ/3GRx0uMmRUTkmAWZCBHTGcIzEWrWzHnEY3gmQuXKce22iIiISHErTY+bFBGRWEpL03zo3Ao7JllZPogQ/nSG+fNzHjVYs6afznDTTQoiiIiIiORDgQURkbIsLQ2GDcu5EF692r+GihtcyG9MDh/2mQahLIT8ggg33hg5nUFBBBEREZECaSqEiEhZlt8z508+GcaNK/HulAq33gpbt+Zdbgahf/Nq1Mg7naFVKwURRERERAqgqRAiIuVNVpZP9Y9m61YYOLBk+1PaOQf/+Y+CCCIiIiIxpsCCiEhZs2EDTJoEzzyTcwc+t4YNYebMku1XaXHuubBxY97lTZrA1VeXfH9EREREyjkFFkREyoKsLHj/fXj6aXjzTf/6l7+ESy6BZ5/NqRMAPs3/H/+ANm3i1994+sc/ImssgB+TUaPi1ycRERGRckwP2BYRKc02bvQXxKeeChdeCP/7H/zud/Dddz4jYexYGD/e340389/Hj6+4hRvBn7vGRERERKTEqHijiEhpc/hwTnbCG2/kZCcMGwa/+hUcf3y8eygiIiIiFZCKN4qIlHYbN+bUTli1yj/Z4Xe/g6FD/WMPRURERERKIQUWRETiKZSdMH68z044dAjOOQceegj69lV2goiIiIiUegosiIjEw48/+qKL4dkJd9wBN96o7AQRERERKVMUWBARKSmHD8MHH+TUTlB2goiIiIiUAwosiIgUtx9/zKmdsHIlnHQS3H67L8ao7AQRERERKeMUWBARKQ6HD/vHQT79NEyf7rMTevb0j47s10/ZCSIiIiJSbiiwICISSz/+CM8957MTVqzIyU648UZo1SrevRMRERERiTkFFkREjlUoO2H8eHj9dZ+dcPbZ8MADvnZCtWrx7qGIiIiISLFRYEFEpKg2bcqpnbBiBZx4Itx2m6+doOwEEREREakgFFgQETkahw/Dhx/62gnh2Ql/+5uvnaDsBBERERGpYBRYEBEpjM2bc7ITfvjBZyf89rc+O6F163j3TkREREQkbirFuwMiIsfinXfeoVWrVrRo0YLRo0fnWZ+RkUHfvn3p2LEj3bp1Y9GiRdnrmjZtSocOHUhJSSE1NTV7+YIFCzjjjDPo0KEDl5xxBjv79oWkJBgxAho1ghdfhPXr4V//UlBBRERERCo8ZSyISJmVlZXFLbfcwvvvv09SUhJdu3bl0ksvpW3bttltHnzwQVJSUnjttddYunQpt9xyCzNnzsxe/9FHH3HyySdH7Hfoddcxpnt3zp45k2cXLeIf1arxt1tvVXaCiIiIiEgUylgQkTIrPT2dFi1a0Lx5c6pWrcrAgQOZPn16RJvFixdz7rnnAtC6dWtWrVrFpk2b8u4s9GSHAQNYNn8+PZ5+Gho25PzHHuO/TZsqO0FEREREJB8KLIhImbV+/XoaN26c/TopKYn169dHtOnUqRPTpk0DfCBi9erVrFu3DgAzo9cvf8npSUmMP+UUOO88eP992jdsyBtjx8Ls2Uw9dIi1QXsREREREclLgQURKbOcc3mWmVnE6xEjRpCRkUFKSgpjx46lc+fOVKlUCT78kE87dGDe0qW8vX49T2RmMnvkSNiwgWc//JAn3niD008/nV27dlG1atWSOiURERERkTJHNRZEpMxKSkpi7dq12a/XrVtHYmJiRJuEhAQmTZoEgNu8mWatW9Osf39YsYLEE06AW26h/o030veVV0ivVYse1arRunVr3nvvPQC+++473nrrrZI7KRERERGRMiYmGQtmVt3MWsViXyIihdW1a1eWL1/OypUrOXDgAFOmTOHSSy+NaLM9I4MD770HAwcyITGRHhkZJCQmsueZZ9i1dCk88gh7mjThvffeo3379gBs3rwZgMOHD/PAAw8wfPjwEj83EREREZGy4pgzFszsEmAMUBVoZmYpwP3OuUvzaV8TeBI4AMxyzqUFywcAfYCDwBjn3BIzGwJ0BnY45/54rH0VkfKlSpUqjBs3jt69e5OVlcWQIUNo164dTz31FOzaxXBgyeOPc826dVSuVIm2zZox8YUX4Iwz2LRiBX3PPx+AQ4cOcdVVV3HBBRcAMHnyZJ544gkA+vXrx/XXXx+vUxQRERERKfUs2hzlo9qB2VfAL/FBgs7Bsm+ccx3zaX81sN0596aZveycGxAsfwUYDJwAPAj8AXgB+BpY65x74kh9SU1NdXPnzj2m8xGRMsw5mDULxo+HadPgwAH4xS/gppugf3+oXj3ePRQRERERKbPM7CvnXGru5bGYCnHIObfjKNonAaFJ0Vlhy8cAY4Hf4IMLzYGfnHMjgCZmdmq0nZnZMDOba2Zzt2zZcvS9F5GyJS0NmjaFSpX897Q02LoVxoyBVq3gl7+Ed96B4cNh0SL43//g6qsVVBARERERKSaxKN64yMyuAiqb2WnAbcBnBbRfhw8uzCcssOGcSwfSzawFcCuwHvgpWL0dqBVtZ8658cB48BkLx3IiIlLKpaXBsGGQmelfr14N117rf87K8tkJf/wjXHGFAgkiIiIiIiUkFoGF3wIjgf3AS8C7wAMFtJ8GjDOzPsCbZvaCc+5qM7sIuAQfQPi9c+5HM/vJzP4FVHXOLYhBX0WkLBs5MieoEJKVBbVrw2efQVB8UURERERESs4x1Vgws8rAu86582LXpaJTjQWRcso5+PhjOOec6OvN4PDhku2TiIiIiEgFUyw1FpxzWUCmmdU5lv2IiES1dSv885/QurUPKphFb5ecXLL9EhERERGRbLGYCrEPWGhm7wN7Qgudc7fFYN8iUtE4B7Nn+yc7vPqqf7LDz38Of/iDz0q49dbI6RA1asCoUfHrr4iIiIhIBReLwMJbwZeISNFt2wbPP+8DCsuWQZ06/jGRN94IHTrktKta1ddaWLPGZyqMGgWDB8ev3yIiIiIiFdwx1VjI3olZVaBl8HKZc+7gMe+0CFRjQaSMcQ4++QSefjonO+GMM/yTH6680mcjiIiIiIhIqZBfjYVjzlgws57A88AqwIDGZnatc272se5bRMqpbdvgP//x2QlLl/rshGHD/Fd4doKIiIiIiJR6sZgK8U+gl3NuGYCZtQQmA6fHYN8iUl6EshNCtRP27/fZCZMmKTtBRERERKQMi0Vg4bhQUAHAOfedmR0Xg/2KSHnw0085tROWLoWEBBg61GcndOwY796JiIiIiMgxikVgYa6ZTQReCF4PBr6KwX5FpKxyDv73Px9MmDrVZyf87Gfw7LM+O6FmzXj3UEREREREYiQWgYWbgVuA2/A1FmYDT8ZgvyJS1vz0U07thCVLlJ0gIiIiIlIBxCKwUAV4zDn3LwAzqwwcH4P9ikhZ4Bx8+ql/skMoO6F7d2UniIiIiIhUELEILMwEzgN2B6+rA+8BP4/BvkWktPrpJ3jhBZ+dsHixz0644QafndCpU7x7JyIiIiIiJSQWgYVqzrlQUAHn3G4zU3l3kfIolJ0Qqp2wb5/PTpg4EQYMUHaCiIiIiEgFFIvAwh4z6+KcmwdgZqnA3hjsV0RKi4yMnNoJoeyEIUOUnSAiIiIiIjEJLNwBTDWzDYADEoEBMdiviMSTc/DZZzm1E/btg27dlJ0gIiIiIiIRKhV1QzPramanOOe+BFoDLwOHgHeAlTHqn4iEeeedd2jVqhUtWrRg9OjRedZnZGTQt29fOnbsSLdu3Vi0aFH2uqZNm9KhQwdSUlJITU3NXj516lTatWtHpUqVmDt3rs9OePxx6NABzjwTXn8drr8evv4a5szxmQoKKoiIiIiISMCcc0Xb0GwecJ5z7icz6wFMAX4LpABtnHP9Y9bLQkpNTXVz584t6cOKlIisrCxatmzJ+++/T1JSEl27dmXy5Mm0bds2u83vf/97atWqxV/+8heWLl3KLbfcwsyZMwEfWJg7dy4nn3xyxH6XLFlCJTNuuuoqxjRsSOqHH+ZkJwwbBgMHKpAgIiIiIiKY2VfOudTcy4ucsQBUds79FPw8ABjvnPuvc+5PQItj2K+IRJGenk6LFi1o3rw5VatWZeDAgUyfPj2izeLFizn33HMBaN26NatWrWLTpk357zQjgzYffECrK67wGQmzZkVmJ9xwg4IKIiIiIiJSoGOpsVDZzKo45w4B5wLDYrRfEYli/fr1NG7cOPt1UlISc+bMiWjTqVMnpk2bxplnnkl6ejqrV69m3bp1NGjQADOjV69emBk3nXcew378EV55xWcndO0KLVvCM89Ajx4lfWoiIiIiIlKGHUvGwmTgYzObjn8KxCcAZtYC2BGDvolkK47aAmVNtGlLZhbxesSIEWRkZJCSksLYsWPp3LkzVar4ON+nM2Yw7/rreTszkycefpjZU6fCddfBvHmQng4NG0INPSlWRERERESOTpEzC5xzo8xsJtAQeM/lXPVUwtdaEImJrKwsbrnllojaApdeemlEbYEHH3yQlJQUXnvttTy1BQA++uijPLUFypqkpCTWrl2b/XrdunUkJiZGtElISGDSpEmAD0Q0a9aMZlu2wHXXkfjKK7B3L/W7dqXvJZeQ3r07PUaOLNFzEBERERGR8udYMhZwzn3hnHvNObcnbNl3zrl5x941Ea9YaguUQV27dmX58uWsXLmSAwcOMGXKFC699NKINtu3b+fAgQOwfTsTrrqKHjt2kHD++ex59VV2DRwIX33Fno8+4r2tW2l/+ulxOhMRERERESlPjimwIFISotUWWL9+fUSbUG0BIKK2AJBdW+D0009n/PjxJdfxGKtSpQrjxo2jd+/etGnThiuvvJJ27drx1FNP8dRTT4FzLHnlFdqdfDKtTzyRt6dM4bGmTWH8eDZ9/jlnfvUVna6/nm7dutGnTx8uuOACAF577TWSkpL4/PPP6dOnD717947viYqIiIiISJmiIotS6hW2tsDtt99OSkoKHTp0iKwt8OmnJCYmsnnzZs4//3xat25NjzJaoPCiiy7ioosuilg2fOBAePFF6NSJMxYuZHmtWv4xkcOGQZcuADQHFixYEHWfffv2pW/fvsXddRERERERKacUWJBSr8i1BZo1A8huW79+ffr27Ut6enqZDSxkc84/DvLpp+Hll2HvXjj9dBg/HgYOhNq1491DERERERGpIDQVQkq9o6otAEyYMIEePXqQkJDAnj172LVrFwB79uzhvffeo3379iV+DkWWlgZNm0KlSv77hAnwxBOQkgJnnAGvvgpXXw1z5/qvG29UUEFEREREREqUMhak1AuvLZCVlcWQIUOyawsADB8+nCVLlnDNNddQuXJl2rZty8SJEwHYtGlTdpr/oUOHuOqqq7JrC5R6aWl+OkNmpn+9erUPHIDPTnj6aRg0SIEEERERERGJK4s2f72sSk1NdXPnzo13N0S8Awdg166cr927I18XtHz3bp+BcPBg3v2ecgps3Fjy5yMiIiIiIhWamX3lnEvNvVwZC1J6pKXByJGwZg0kJ8OoUTB4cMkdPxQIONoAQH5tg6kZR1Slis86qF0batXK+TlaUAGgnD1GU0REREREyrYSDyyYWU3gSeAAMMs5lxYsHwD0AQ4CY5xzS8zsB+B9YJ5zruw+J1COLFra/7Bh/uf8ggsHDx5bACD3sqMNBIQHAWrX9pkEuZdFCxjkXnb88ZDrKReAr6mwenXe5cnJheuniIiIiIhICYhHxkI/4FXn3Jtm9jKQFiy/HBgMnAA8CAwFdgPVgbXRdiTlyMiROUGFkMxMX1PghReiBxAKGwioXDn6xX6DBoULAORenl8gINZGjYoMtgDUqOGXi4iIiIiIlBLxCCwkAQuDn7PClo8BxgI/4oMLAJ0BA94C3o62MzMbBgwDSNad3LJrzZroy/fuhe3b/YV9/fqFzwII/yqpQECshTI14jk9RERERERE5AjiEVhYhw8uzCfscZfOuXQg3cxaALcGyw4DmNk+M6sUeh0umCIxHnzxxmLvvcTe6tV+ekG0mgJNmsAXX5R8n0qLwYMVSBARERERkVItHoGFacA4M+sDvGlmLzjnrjazi4BLgFrA782sFfD/gm1mRQsqSDnw0Udw5ZU+sFCpEuzfn7NOaf8iIiIiIiKlnh43KfHhHDz2GNx9N7RqBa+/DunpSvsXEREREREppfS4SSk99u71RQlffBH69oXnn/e1EE47TYEEERERERGRMqbSkZuIxNCaNXDmmf7xkg88AK++6oMKIiIiIiIiUiYpY0FKzqxZcMUV/jGRb74JffrEu0ciIiIiIiJyjJSxIMUvVE/hvPOgXj348ksFFURERERERMoJBRakeO3dC9deC3fcAZdc4h8d2bJlvHslIiIiIiIiMaLAghSfNWvgrLN8kcb774f//hcSEuLdKxEREREREYkh1ViQ4vHxx76ewv798MYbcPHF8e6RiIiIiIiIFANlLEhsOQePPw7nngsnnQTp6QoqiIiIiIiIlGMKLEjs7N0L110Ht9/ugwlz5kCrVvHulYiIiIiIiBQjBRYkNtau9fUU/vMf+OtfYdo01VMQERERERGpAFRjQY5d7noKl1wS7x6JiIiIiIhICVHGghSdczB2LJx3Hpx4oq+noKCCiIiIiIhIhaLAghTNvn1w/fVw221w0UWqpyAiIiIiIlJBKbAgRy9UT+H55+G+++C116BOnXj3SkREREREROJANRbk6Mye7esp7N0Lr78Ol10W7x6JiIiIiIhIHCljQQrHOXjiCTj3XKhb19dTUFBBRERERESkwlNgQY5s3z644Qa49Va44AIfVGjdOt69EhERERERkVJAgQUp2Lp10KMHTJoEf/4zTJ+uegoiIiIiIiKSTTUWJH+ffAL9+0Nmpi/Q+KtfxbtHIiIiIiIiUsooY0Hycg6efBJ++cucegoKKoiIiIiIiEgUCixIpH37YOhQuOUW6N3bBxXatIl3r0RERERERKSUUmBBcqxfD2efDc8+C3/6E7zxhuopiIiIiIiISIFUY0G8//3P11PYswemTYO+fePdIxERERERESkDlLFQ0TkH//43nHMOJCTAnDkKKoiIiIiIiEihKbBQke3fDzfeCL/5DfTq5esptG0b716JiIiIiIhIGaLAQkUVqqcwcSL88Y/w5pv+CRAiIiIiIiIiR0E1FiqiTz/19RR27YL//hf69Yt3j0RERERERKSMUsZCRfP0076eQq1avp6CggoiIiIiIiJyDBRYqCj274dhw2D4cDjvPPjyS2jXLt69EhERERERkTKuxAMLZlbTzJ43s2fMbHDY8gFm9h8zm2hmbcKWP2VmY0q6n+XKhg3Qsyc88wz84Q+qpyAiIiIiIiIxE4+MhX7Aq865G4FLw5ZfDtwA3AvcBWBm/YG5Jd7D8uSzz+D002HhQnj1VRg1CipXjnevREREREREpJyIR2AhCVgb/JwVtnwMMBb4DXCCmTUAOgMfFLQzMxtmZnPNbO6WLVuKo79l1/jxPlOhZk344gu4/PJ490hERERERETKmXgEFtbhgwsRx3fOpTvnhgMv4gMPZwP1gT8D55hZy2g7c86Nd86lOudS69WrV7w9LytC9RRuugnOPdfXU2jfPt69EhERERERkXIoHo+bnAaMM7M+wJtm9oJz7mozuwi4BKgF/N459yPwipk1BW51zn0Xh76WPRs2+EdJfv453Hsv/O1vmvogIiIiIiIixcacc/HuQ8ykpqa6uXMrcEmGzz/30x127oTnnvMBBhEREREREZEYMLOvnHOpuZfrcZPlxTPPwNlnQ/Xqvp6CggoiIiIiIiJSAhRYKOsOHIDhw31NhV/+UvUUREREREREpEQpsFCWbdwI55wDTz8NI0bAW2/BiSfGu1ciIiIiIiJSgcSjeKPEwhdfQL9+sGMHvPIKXHFFvHskIiIiIiIiFZAyFkqJd955h1atWtGiRQtGjx6dZ31GRgZ9+/alY8eOdGvWjEVnnQXVq7Nv1iy6/eMfdOrUiXbt2vGXv/wlz7ZjxozBzNi6dWtJnIqIiIiIiIhUIAoslAJZWVnccsstvP322yxevJjJkyezePHiiDYPPvggKR068M0vfsF/Vq3i9oQE+PJLjk9N5cMPP2TBggXMnz+fd955hy+++CJ7u7Vr1/L++++TnJxc0qclIiIiIiIiFYACC6VAeno6LVq0oHnz5lStWpWBAwcyffr0iDaLv/6ac19/HZ56itb33MOqunXZdPAgZkatWrUAOHjwIAeDZSF33nknDz/8cMQyERERERERkVhRYKEUWL9+PY0bN85+nZSUxPr163MazJlDpzlzmLZkCUyZQvrll7N69WrWrVsH+IyHlJQU6tevz/nnn0/37t0BeOONN2jUqBGdOnUq0fMRERERERGRikPFG0sB51yeZdkZBhMnwm9+w4iGDbm9UydSHnqIDh060LlzZ6pU8W9f5cqVmT9/Ptu3b6dv374sWrSI5s2bM2rUKN57772SPBURERERERGpYBRYKAWSkpJYu3Zt9ut169aR2KAB/OY38O9/w/nnkzB5MpNOOgnwgYhmzZrRrFmziP3UrVuXnj178s4779C7d29WrlyZna2wbt06unTpQnp6OqecckrJnZyIiIiIiIiUa5oKUQp07dqV5cuXs3LlSg4cOMCUF1/k0mnTfFDh97+HGTPYXrkyBw4cAGDChAn06NGDhIQEtmzZwvbt2wHYu3cvH3zwAa1bt6ZDhw5s3ryZVatWsWrVKpKSkpg3b56CCiIiIiIiIhJTylgoBapUqcK4cePo3bs3WZmZDNm1i3YHD/LUkCHQvDnDq1RhyZIlXHPNNVSuXJm2bdsyceJEADZu3Mi1115LVlYWhw8f5sorr+Tiiy+O8xmJiIiIiIhIRWHR5veXVampqW7u3Lnx7kbRPfss3HwzJCbC66+Dii6KiIiIiIhIKWFmXznnUnMv11SI0uDgQbj1VrjhBjjrLJg7V0EFERERERERKRMUWIiXtDRo2hQqVYLateGJJ+Duu+GddyAo0igiIiIiIiJS2qnGQjykpcGwYZCZ6V/v3w9Vq0JKClTRWyIiIiIiIiJlhzIW4mHkyJygQsiBA365iIiIiIiISBmiwEI8rFlzdMtFRERERERESikFFuIhOfnolouIiIiIiIiUUgosxMOoUVCjRuSyGjX8chEREREREZEyRIGFeBg8GMaPhyZNwMx/Hz/eLxcREREREREpQ/QIgngZPFiBBBERERERESnzlLEgIiIiIiIiIkWmwIKIiIiIiIiIFJkCCyIiIiIiIiJSZOaci3cfYsbMtgCr492Po3QysDXenShlNCZ5aUzy0pjkpTHJS2MSncYlL41JXhqTvDQmeWlM8tKYRKdxyassjkkT51y93AvLVWChLDKzuc651Hj3ozTRmOSlMclLY5KXxiQvjUl0Gpe8NCZ5aUzy0pjkpTHJS2MSncYlr/I0JpoKISIiIiIiIiJFpsCCiIiIiIiIiBSZAgvxNz7eHSiFNCZ5aUzy0pjkpTHJS2MSncYlL41JXhqTvDQmeWlM8tKYRKdxyavcjIlqLIiIiIiIiIhIkSljQURERERERESKrEq8O1CemVlP4G/At8AUIBE4BzgeuDlo9iRwAJjlnEszs6vC2zjn9pRwt4uFmTUHRgJ1nHP9c59n0KzAsYjWpiTPoThEGZe38Y9M3e2cu9vMalKBxsXMfgX0AeoDT+AfwaPPSd5xuZMK/DkBMLM2wO34z8hMYAcV/LMSZUwupYJ/TgCC854N/AVIoIJ/TiDPmNxCBf+cxOL/a9HalFT/i0uUcfl/6LNSCT8mCcBc4CAV/LMSZUwGos/JWcBg/LV2W2AcFeBzoqkQxcjMzgZGAJuAB4CHnHNXmNnFwAlBs+3OuTfN7GXn3AAzmxrexjn3Qpy6XyzM7NXgAnrq0Y5FtDbxOYvYCxuX/wLbgOXOuX+Y2dVUwHExsxOAMUCCPic5wsalLvqcANn/oXkGfVayhY1JXfQ5wczuB/bgL46u1eckz5hcTwX/nMTi/2vR2pT8mcRWlHH5O/qs9AUuA34C3gKGV/TPSpQx+Q0V/HMSEtwYagCcVxE+J5oKUbw+cc5diI/w/hUIRXFWA0nB19pgWVbwPXeb8qooYxGtTXlzhXNuGNDQzDpSccflj/g78/qcRAqNiz4ngJldCvwPf3denxXyjEmF/5yY2XnAYvyFEehzEm1MKvznhNj8f628jQnkHRd9VqAV8Llz7nf4u8r6rOQdE31OclwFTKaCfE4UWChGzrnDwY8Z+LSWkGRgXfAVCh7kfi9Cbcq7oxmLgtqUC2Gfmc1ALSrYuJj3d+Bt59y8sFUV+nOSe1wq+uckxDn3hnPu5/h0w5AK/VkJHxN9TgCfVvoz/H/ubgxbXpE/J/mNSYX9nMTo/2vlakwg77jobwrgzycj+Dn8Yq8if1YixkSfE8/MkoEdzrmdYYvL9edEUyGKkZn1A3rj01H/jZ+zdxZQHT+nEfycm33A/8Lm12S3ceWnxsJJwCjgfGACPhp3VGMRrU3JnUHxiDIurYFM/Jysm/DnXmHGxcxuA64FvgTmAzvR5yTauJxBBf6cQPbc3374i4Bv8P+pqdCflShj0o0K/jkJMbPrgK34OcAV+nMSEjYmV1DBPyex+P9atDYldgLFJMq4XI8+KzWAsfhxWIr+7Yk2Jvq3BzCzvwLvOuc+K8z5locxUWBBRERERERERIqsTKRViIiIiIiIiEjppMCCiIiIiIiIiBSZAgsiIiIiIiIiUmQKLIiIiIiIiIhIkSmwICIiUsaZ2Ugz+9bMvjGz+WbWPVg+wczaFtMx65nZHDP72szOyrXujqBSeOj17hged5aZpR6hTcTxY3Tcnmb281juU0REpLxQYEFERKQMM7MzgIuBLs65jsB5wFoA59xQ59ziYjr0ucBS51xn59wnudbdAcT0wv4oFcfxewIKLIiIiEShwIKIiEjZ1hDY6pzbD+Cc2+qc2wA5d/fN7NIgk2G+mS0zs5XB+tPN7GMz+8rM3jWzhrl3bmZNzGxmkA0x08ySzSwFeBi4KNhn9bD2twGJwEdm9lHY8lFmtsDMvjCzBsGyemb2XzP7Mvj6RZTjVzezKcHxX8Y/4zu07t9mNjfI1vhrfseP1i5YPtrMFgf7HpNfn8ysKTAcuDM434gMDRERkYrOnHPx7oOIiIgUkZnVAv6Hv0P/AfCyc+7jYN0s4G7n3Nyw9q8AHwPjg++XOee2mNkAoLdzbkiu/b8JvOqce97MhgCXOud+ZWbXAanOuVuj9GlVsG5r8NoF271pZg8DO51zD5jZS8CTzrn/mVky8K5zrk2uff0OaO+cG2JmHYF5wM+cc3PN7ETn3E9mVhmYCdzmnPsmyvHztAPWAZ8DrZ1zzszqOue259cnM7sP2O2cG3OUb5GIiEi5VyXeHRAREZGic87tNrPTgbOAc4CXzWyEc+653G3N7B5gr3PuCTNrD7QH3jczgMrAxiiHOAPoF/z8Aj5T4WgdAP4v+Pkr4Pzg5/OAtsHxARLMrLZzblfYtj2Ax4Nz/cbMvglbd6WZDcP/f6Yh0BYIX19Qu8XAPmCCmb0V1r+ofTr6UxYREak4FFgQEREp45xzWcAsYJaZLQSuBZ4Lb2Nm5wJX4C/UAQz41jl3xtEerghdPOhyUiSzyPn/RyXgDOfc3qM9ppk1A+4GujrnMszsOaBaYds55w6ZWTd8rYiBwK3AL/PrU1igQURERHJRjQUREZEyzMxamdlpYYtSgNW52jQBngSuDLtgXgbUC4o/YmbHmVm7KIf4DH/hDTAYP+3iSHYBhbnL/x7+gj7Uz5QobWYHxyXIsugYLE8A9gA7gpoNF+Zz/KjtgikkdZxzM/DFHkPHzq9PhT0nERGRCkcZCyIiImVbLWCsmdUFDgHfA8NytbkOOAl4LbjzvsE5d5GZ9QceN7M6+P8TPAp8m2vb24Bnzez3wBbg+kL0aTzwtpltdM6dU0C724AngukNVfBBhOG52vwbmBS0mQ+kAzjnFpjZ10F/VwCf5nf8fNrVBqabWTV89sadR+jTm8CrZnYZ8NsoT8IQERGpsFS8UURERERERESKTFMhRERERERERKTIFFgQERERERERkSJTYEFEREREREREikyBBREREREREREpMgUWRERERERERKTIFFgQERERERERkSJTYEFEREREREREikyBBREREREREREpMgUWRERERERERKTIFFgQESlDzOxtM7s21m2PlZn9wcwmlMSxCuhDAzObbWa7zOyf8exLNCX5fhyJmX1rZj1L8HhH/d6Y2SozO6+Y+jPLzIYWx76Lk5kdb2aLzeyU4PVzZvZAvPt1tMxst5k1L6Z9P2VmfyqOfRcnM/uXmQ2Pdz9ERIpKgQURkWIW/Cc69HXYzPaGvR58NPtyzl3onHs+1m2Phpn1NLN1uY71oHMu3hdqw4CtQIJz7q449yWP4no/isI51845N6sED1nge1OaL5CLM8BRhOMMA2Y7536M4XHvMLMVZrbTzDaY2SNmViWftnl+94vCOVfLObfiWPeTz76HO+f+Vhz7zs28v5vZtuDrYTOzAtoPNbPvg7/975hZYtjqfwAjzaxq8fdcRCT2FFgQESlmwX+iaznnagFrgEvClqWF2uX3n3kptCbAYuecO9oNi3Psg4uPiv7vbZHfG4lwE/BCjPf5JtDFOZcAtAc6AbcVdWcV7O/YMOBX+DHrCFyMf4/yMLOzgQeBy4ATgZXA5NB659xGYClwabH2WESkmFT0/+iIiMRN6O6fmf0/M/sRmGRmJ5jZ/5nZFjPLCH5OCtsmO4XbzK4zs/+Z2Zig7Uozu7CIbZuFpap/YGZPmNmLUfpcE3gbSAzLukg0s/tC7c2sqZk5M7vezNYGxxtuZl3N7Bsz225m43Ltd4iZLQnavmtmTYLlFtxB3WxmO4Lt20fp13PAtcA9QZ/OM582/mhwF3ZD8PPx+Y19rv0dH/SzfdiyekG2Sf1Cvk+jzOxTIBNonuv9qGRmfzSz1cG5/cfM6oT3LVd/su9mm1k3M5tr/g7zJjP7V54Pl293ctCv7Wb2k5l9Egpw5Nrf9rD3ck/w3jUN1l1sZvODNp+ZWcdoxwra/tzMvgzepy/N7Of5vTe5thsGDA5b/2bY6pTgPd9hZi+bWbWw7Y6mb+eb2dJgP+MAC1t3qpl9aP6O81YzSzOzusG6F4Bk4M2gb/cEy6ea2Y/B/mabWbuw/V1kfrrCLjNbb2Z3H6nP+R0n1zkkA6cCc/I5x9pm9pGZPW6W/13z3JxzPzjntod2AxwGWkTZf0G/+6+a2YtmthO4LviMfh6c50YzG2dhd+KDz1iL4OfnzP+9eSsYszlmdmpBfTYv6t8FC8t+MbPQeIZnjF0XrGttZu8HvxvLzOzKwo5ZmGuBfzrn1jnn1gP/BK7Lp+0lwFTn3LfOuQPA34Aeuc51FtCnCP0QEYk7BRZEROLrFPzdqyb4u1+V8Be5TfAXGnuBcfluDd2BZcDJwMPAxAIuKgpq+xKQDpwE3AdcHW0Hzrk9wIXAhrCsiw0FHO80YADwKDASOA9oB1xp/g4eZvYr4A9AP6Ae8Ak5d/J6AT2AlkDdYF/bovTrOiANeDjo0wfB8X4GpODvKHYD/hi2We6xD9/ffmAaMChs8ZXAx865zRTufbo62G9tYHWuddcFX+cAzYFaUbbPz2PAY8Ed5lOBV/JpdxewDj+mDfBjnCdjwDlXNyyj5jH8+K83sy7As/g7sCcBTwNvWBCcCWdmJwJvAY8Hbf8FvGVmJ+Xz3oQff3yu9ZeErb4SuABohr8jfF1wvKPp28nAf/Hv/cnAD8AvwpsADwGJQBugMf53AOfc1URmGT0cbPM2/rNdH5gX9D9kInCTc642PgPgwyP1uYDjhOsArHDOHYpyjicBM4FPnXO3OeecmY0ILuyjfuXa/qogKLAV/7vydO5jHOF3/zLgVfzvaBqQBdwZjPcZwLnAb6KcU8gg4K/ACcD3wKgC2kLh/y5cEvbZ7g/8CMwMgiTv4//u1Q+O/2QoQHQUY9cOWBD2ekGwLBojLKAV9nN4oHQJfvxFRMocBRZEROLrMPAX59x+59xe59w259x/nXOZzrld+P9gn13A9qudc88457KA54GG+IvIQrcN7oR2Bf7snDvgnPsf8EYMzu1vzrl9zrn3gD3AZOfc5uDO3idA56DdTcBDzrklwUXTg/g71U2Ag/gL89aABW02FvL4g4H7g2NuwV+4hAdMIsY+yvYvERlYuCpYRiHfp+eCu5OHnHMHo/TtX865Fc653cC9wEArXBr5QaCFmZ3snNvtnPuigHYNgSbOuYPOuU8KmopgZgOCc7w86O+NwNPOuTnOuaygPsR+fLAmtz7AcufcC8H5TsandV8Spe3ReNw5t8E59xM+ZT8lWH40fbsIPw3j1eC8HsVfYALgnPveOfd+8DnYgg+KFPQ7h3PuWefcriAAdR/QyYKME/y4tzWzBOdchnNuXhH6HE1dYFeU5YnAx/i74dmBM+fc6CBoFPUr1/m8FASqWgJPAZsK2aeQz51zrzvnDgd/x75yzn0RfBZW4QMVBY3pNOdcevD7n0bO+5yfo/q7YGYtgf8AA5xza/FTFlY55yYFfZyHDz71h6Mau1rAjrDXO4Ba+QR3Z+ADqh3NrDrwZ3ygr0ZYm13491lEpMxRYEFEJL62OOf2hV6YWQ0ze9p8ivxOYDZQ18wq57N9+AVSZvBjraNsmwj8FLYMYO1Rnkc04Rcne6O8DvWzCfBY2N3An/B38xo55z7E38l/AthkZuPNLKGQx08kMlNgdbAsJGLso/gQqG5m3YMgRwrwGhT6fSpoDKP1rQr5B4XC3YC/AFxqfsrBxfm0+wf+7u975ovzjchvh2bWGT/OfYOLa/Dvy1257tQ2JnIM8zuf0Dk1KsT5FCS8SGEmkZ+Zo+lb9nsRBFeyX5uf2jLF/LSFncCL+DvtUZlZZTMbbWY/BO1XBatC21yOD2asNrOPzeyMIvQ5mgz8xXRufYDq+IDAMXHOLQe+BZ48yk0jPutm1tL8NJwfgzF6kALGlPzf5/z6Wei/C0HAZzrwJ+fcJ8HiJkD3XO/FYHwW09HYDYQfNwHYHS2A55ybCfwFH8BYjf/c7MJnFYXUBrYfZR9EREoFBRZEROIr939A7wJaAd2DO4g9guWFnjNdBBuBE80s/M5Z4wLax7oA31p86nj4XcHqzrnPAJxzjzvnTsenGLcEfl/I/W7AX0CEJAfLQgo8D+fcYfw0g0H4O/n/F2QnQOHep4L2H61vh/DBlz2E3cUMghX1wvq13Dk3CJ/C/Xfg1SC1O3f/dznn7nLONcdnDvzOzM7N3c7M6uEDJrc6574OW7UWGJXrfakRZCMc6XxC57Q+/yGI7G4h2xWlbxsJ+zwHd5PDP98PBcfvGLyXv6bg9/EqfOr/eUAdoGlo1wDOuS+dc5fh35/XyZmqcqQ+H2kMvsHX6sid1fIM8A4wI/xzYP4RsLvz+yrgOFXwU2yiya+PuZf/G5+xclowpn8gxn/DCvN3wXxNkZeAj5xz4dM71uKnNYW/F7WcczcH2xV27L4lcupCp2BZfn1+wjl3mnOuPj7AUAVYFNakDZFTK0REygwFFkRESpfa+Lv524N5638p7gM651YDc4H7zKxqcIe1oBT2TcBJYanfx+op4N6w+c11zOyK4OeuQcbAcfgL7n34+duFMRn4o/miiyfjU4/zFKQ8gpfw87cHBz+HHOv7NBm403zRzFr4O7ovB6ng3wHVzKxPcN5/BLJrB5jZr82sXhD42B4szjMm5gsFtggupHcGbbJytamCv8BJc869nGsXzwDDg/E3M6sZ9CnaXfMZQEvzc/WrBNMq2gL/V8jx2ISvNVFYR9O3t4B2ZtYvON/biLwzXRt/53m7mTUi7wVq7r7Vxk9h2IYPAD0YWhH8/gw2szrBtIvQuBemzwWOgXNuHbAcXyskt1vx9VP+z3yafegRsLXy+wrr81Azqx/83BY/LWdm2PpZZnZfWB8L87tfOzj33WbWGrj5CO2PylH8XRgF1ARuz7X8//Cf16vN7Ljgq6uZtYHCjx1+esXvzKyR+UdH3gU8l0+fq5lZ++C9TwbG42ulZIQ1Oxtfv0NEpMxRYEFEpHR5FJ/WvBX4An8nsiQMxhdZ2wY8ALyMv3jKwzm3FH9hvCJIIy5sKndUzrnX8HfepwRp04vwReLApxY/g08DXx30b0whd/0APmDyDbAQX2TvgaPs2xz8hUsikf/hf5Rje5+exT82cDb+sXP7gN8Gx9yBL3Q3AX/Hfw+R6dIXAN8Gd04fAwbmM6XjNOAD/EXz58CTzrlZudokAWcBd+S6K5vsnJuLrwswDj/+35NPxXvn3Db8vPW78O/RPcDFzrmthRyPifi6BNvN7PUjNT7Kvm0FrgBGB307Dfg0rMlfgS74+fFv4Yt2hnsIH6Dabv4JD//BfxbXA4vx73+4q4FVwWd5OD4DojB9zn2caJ4mSmHVIPV+GP5O/HQLe3pGIfwCWGhme/ABohn4DIOQxgTjdRS/+3fjMzt24X9/cwetjlVh/y4MwtewyAj7bA8OMo96AQPx2TY/4v8G5Sn+eQRP42t/LMT/3XqLsMKXZvatmQ0OXlbDByd34wvlfg78KaxtQ3ww7vWj7IOISKlgUaaBiYhIBWdmLwNLnXPFnjEhIoVj/qkXXwPnFlSsMIbHS8IXhTzjiI3lmJjZP4EfnHNHW99CRKRUUGBBREQws674ookr8XfyXgfOyDXnXkRERESOkZk9i8/02+ycax8s+wd+KuoB/KORr3fObQ8yn8Kn6XUEujjn5kfZ72/x0+MOAW855+4JlnfEZ1Ql4J+K1fUIBayP/pwUWBARETO7BF8J/iR82v1DzrlJ8e2ViFRUZnYW+dQbyFXnQESkzDGzHvipUf8JCyz0Aj50zh0ys78DOOf+X67tOgDTg8LMufd5DjAS6OOc229m9Z1zm4P6QvOAq51zC8zsJGC7848fj5nCPC9bRETKOefcm/i5wiIicRc8GlIBBBEpl5xzs82saa5l74W9/ALoH2XTQfhaN9HcDIx2zu0P9rc5WN4L+MY5tyBYvu0Yup4vFW8UERERERERKT2GED1rawD5BxZaAmeZ2Rwz+ziY5hpa7szsXTObZ2b3FEN/lbEgIiIiIiIiUhqY2Uh8jYS0XMu7A5nOuUX5bFoFOAH/NJyuwCtm1jxYfmawLBOYaWZfOedm5rOfovW7PNVYOPnkk13Tpk3j3Q0RERERERGRfO3fv5/vv/+edu3aZS/btm0bW7ZsoWXLllSqFDm5YO3atVSpUoWGDRtG3d/y5cs55ZRTqF27NgALFy6kdevW7Nq1i507dxK6Tt64cSNmximnnFKkfn/11VdbnXP1ci8vVxkLTZs2Ze7cufHuhoiIiIiIiEi+Vq1axcUXX5x9/frOO+/wu9/9jpUrV1KvXuR1++HDh0lOTmb27Nk0b56nbiMATz31FBs2bOD+++/nu+++49xzz2X+/Pls376dc889l9mzZ1O1alUuuOAC7rzzTvr06VOkfpvZ6mjLVWNBREREREREpIQMGjSIM844g2XLlpGUlMTEiRO59dZb2bVrF+effz4pKSkMHz48u/3s2bNJSkrKE1QYOnRodmBiyJAhrFixgvbt2zNw4ECef/55zIwTTjiB3/3ud3Tt2pWUlBS6dOlS5KBCQcrVVIjU1FSnjAURERERERGR2AvqM6TmXq6MBREREREREREpMgUWREREREREREpIWho0bQqVKvnvaWlH2qL0K1fFG0VERERERERKq7Q0GDYMMjP969Wr/WuAwYPj169jpYwFERERERERkWLkHHz/PdxxR05QISQzE0aOjEu3YkYZCyIiIiIiIiIxtG0bpKf7rzlz/Pdt2/Jvv2ZNyfWtOCiwICIiIiIiIlJE+/fD/Pk5QYQ5c3x2AoAZtGsHv/oVdOsG990HGzfm3Udycgl2uBhoKoSIiIiIiIgUiyFDhlC/fn3at2+fvWzq1Km0a9eOSpUqMXfu3OzlaWlppKSkZH9VqlSJ+fPnR93v2LFjadWqFe3ateOee+4B4ODBg1x77bV06NCBNm3a8NBDD8X8fJyD5cvhxRfhttuge3dISICf/cy//ugj6NABHnoIPvwQduyAhQthwgRfS+Ef/4AaNSL3WaMGjBoV866WKGUsiIiIiIiISLG47rrruPXWW7nmmmuyl7Vv355p06Zx0003RbQdPHgwg4MKhgsXLuSyyy4jJSUlzz4/+ugjpk+fzjfffMPxxx/P5s2bAR+w2L9/PwsXLiQzM5O2bdsyaNAgmjZtWuT+b92ad0rDTz/5dTVrQmoq3H67DzB07w5JSQXvL1SgceRIP/0hOdkHFcpy4UZQYEFERERERESKSY8ePVi1alXEsjZt2hxxu8mTJzNo0KCo6/79738zYsQIjj/+eADq168PgJmxZ88eDh06xN69e6latSoJCQmF7uv+/fD115FTGn74wa+rVMlPaejbNyeI0LYtVCnCFfXgwWU/kJCbAgsiIiIiIiJSqrz88stMnz496rrvvvuOTz75hJEjR1KtWjXGjBlD165d6d+/P9OnT6dhw4ZkZmbyyCOPcOKJJ0bdR2hKQygLYc4cXyfh4EG/vlEjHzy48Ub//fTToXbtYjrZckCBBRERERERESk15syZQ40aNSLqMoQ7dOgQGRkZfPHFF3z55ZdceeWVrFixgvT0dCpXrsyGDRvIyMjgrLPO4rzzzqN58+Zs3RoZREhPh4wMv7+aNaFrV7jzzpxshEaNSvCEywEFFkRERERERKTUmDJlSr7TIACSkpLo168fZka3bt2oVKkSW7du5aWXXuKCCy4gK+s4fvihPnXr/oJrrpnLxo3NWbHCb1upErRvD5dfHjmloXLlEjq5ckqBBRERERERESkVDh8+zNSpU5k9e3a+bX71q1/x4Ycf0rNnT5Yu/Y7MzAPMmHEyX3+dzMsvf8iQIb/m0KFM4Avq17+DM8+Em27KmdJQq1bJnU9FEdfAgpk1B0YCdZxz/c1sUrCqEjAEqAY8CRwAZjnn0uLTUxERERERETlagwYNYtasWWzdupWkpCT++te/cuKJJ/Lb3/6WLVu20KdPH1JSUnj33XcBmD17NklJSTRv3jxiP0OHDmX48OE0aZJKgwZDeOKJIfzrX+3Zt68qWVnPc911Rs2at1CjxvXUqdOe6tUd1113PX/7W8d4nHaFY865ePcBM3vVOdc/7PVjwBigJ7DdOfemmb3snBtQ0H5SU1Nd+HNQRUREREREpGzau9c/pSG8NsLKlX5daEpDaDpD9+7Qpo2mNBQ3M/vKOZeae3mpmwphZq2B451za80sCVgYrMrKp/0wYBhAcnJyyXRSREREREREYubwYfjuu8ggwoIFcOiQX5+U5IMHN9+cM6WhZs349llylKrAgpm1B+4AfhMsWgckAfPx0yPycM6NB8aDz1go9k6KiIiIiIhIoaSlwciRsGYNJCfDqFEweDBs3uyDB6FAQno67Njht6lVyz+l4e67fRChWzdITIzveUjB4joVwsxOAkYB5wPPArcCb+NrKjwAZADjgH3A/45UY0FTIUREREREREqHtDQYNgwyM3OWVa4MJ5wAW7f615UqQYcOkVMaWrfWlIbSqlROhXDObQOGhy0aFaXZ9SXUHRERERERETkGhw/DsmU+E+G3v40MKgBkZfll//iHDyJ06aIpDeVBqZoKISIiIiIiImXHpk05UxrmzIEvv4SdOwveZu9eP81Byg8FFkREREREROSIMjNh3rzIQMKaNX5d5crQsSMMGpQzpeHCC3PWh1PN/fInakFEEREREREROTpDhgyhfv36tG/fPnvZTz/9xPnnn89pp53G+eefT0ZGBgBpaWmkpKRkf1WqVIn58+fn2eeAAQOy2zRt2pSUlBQAtm3bxjnnnEOtWrW49dZbY34uhw/Dt9/CpEkwfDh07gwJCXDWWT7bID0dfvYzGDMGPvnEZynMmwdPPQXXXw9t28KDD0KNGpH7rVHDF3CU8iWuxRtjTcUbRUREREQkXmbPnk2tWrW45pprWLRoEQD33HMPJ554IiNGjGD06NFkZGTw97//PWK7hQsXctlll7FixYoC93/XXXdRp04d/vznP7Nnzx6+/vprFi1axKJFixg3btwx9X3jxshHPX75Jeza5dclJPgnM4Se0NCtG5xySuH2m99TIaRsKpXFG0VERERERMqLHj16sGrVqohl06dPZ9asWQBce+219OzZM09gYfLkyQwaNKjAfTvneOWVV/jwww8BqFmzJmeeeSbff//9Ufdzzx746qvIQMLatX5dlSp+SsOvf50TSGjVyj+9oSgGD1YgoSJQYEFERERERKSYbNq0iYYNGwLQsGFDNm/enKfNyy+/zPTp0wvczyeffEKDBg047bTTjur4WVmwZElOTYT0dFi0yC8HaNoUfv7znLoInTtD9epHdQgRBRZERERERETiZc6cOdSoUSOiLkM0hclqANiwIbK44ty5sHu3X1e3rs9AuOSSnGyE+vVjcBJS4SmwICIiIiIiUkwaNGjAxo0badiwIRs3bqR+riv5KVOmHDFgcOjQIaZNm8ZXX30VsXz3bli61BdNvPxyH0hYv96vO+446NQJrr02pz7CaacVfUqDSEEUWBARERERESkml156Kc8//zwjRozg+eef57LLLsted/jwYaZOncrs2bML3McHH3xAq1at+emnJN55Jycb4dtv/dMbAJo3hx49cjIROneGatWK88xEciiwICIiIiIiEgODBg1i1qxZbN26laSkJP76178yYsQIrrzySiZOnEhycjJTp07Nbj979mySkpJo3rx5xH6GDh1K377D2bcvlfR0eP75KWRkDKJTJ7/+hBN88GDNmqZkZe3k8OED7N//On/843u0bdu2JE9ZBNDjJkVEREREROJq1y5fCyH8KQ0bNvh1xx3nsw9C0xm6d4cWLcAsvn2WikmPmxQREREREYmzQ4f8FIbwpzR8+y2E7ve2aAHnnJMTSEhJgeOPj2uXRY5IgQUREREREZFjlJYGI0fCmjWQnAyjRsFVV8G6dZFPafjqK8jM9NucdJIPIPTv77936+aXiZQ1mgohIiIiIiJyDNLSYNiwnIABQOXKULMm7NzpX1et6qc0hKYzdO/uCy5qSoOUJZoKISIiIiIiEiMbN/rHPH79NTz4IOzdG7k+K8t/jR3rgwidOvnggkh5pKeYioiIiIjIMXvsscdo37497dq149FHHwVg/vz5/OxnPyMlJYXU1FTS09PzbLds2TJSUlKyvxISErK3/9Of/kTHjh1JSUmhV69ebAhVNCxBzsEPP8Crr/qpDhdeCKecAomJcPHF8Kc/5Q0qhGRmwq23QteuCipI+aapECIiIiIickwWLVrEwIEDSU9Pp2rVqlxwwQX8+9//5pZbbuHOO+/kwgsvZMaMGTz88MPMmjUr3/1kZWXRqFEj5syZQ5MmTdi5cycJCQkAPP744yxevJinnnqq2M7j0CFYutRnIYSyEebPhx07/PoqVaBtWz+loUsX/71TJ+jYEVavzru/Jk1g1api665IidNUCBERERERKRZLlizhZz/7GTVq1ADg7LPP5rXXXsPM2BkUGdixYweJiYkF7mfmzJmceuqpNGnSBCA7qACwZ88eLIYFCfbuhYULffAgFEhYuBD27fPrq1f3QYOrrsoJJLRrB9Wq5d3XqFF5ayzUqOGXi1QECiyIiIiIiMgxad++PSNHjmTbtm1Ur16dGTNmkJqayqOPPkrv3r25++67OXz4MJ999lmB+5kyZQqDBg2KWDZy5Ej+85//UKdOHT766KMi9W/HDp95EMpC+PprWLLE10AAqFvXBw9+85ucTISWLX2GQmEMHhzqa+RTIULLRco7TYUQEREREZFjNnHiRJ544glq1apF27ZtqV69OllZWZx99tlcfvnlvPLKK4wfP54PPvgg6vYHDhwgMTGRb7/9lgYNGuRZ/9BDD7Fv3z7++te/FtiPTZsiAwjz5sGKFTnrGzaMnMrQuTM0baqnM4gURn5TIRRYEBERERGRmPrDH/5AUlIS9957L9u3b8fMcM5Rp06d7KkRuU2fPp0nnniC9957L+r61atX06dPHxYtWgT4ooqrVkUGEL7+2j+tIeTUU3OCB6FAQpSYhYgUkmosiIiIiIhIsdm8eTP169dnzZo1TJs2jc8//5yxY8fy8ccf07NnTz788ENOO+20fLefPHlynmkQy5cv57TTTiMrC8aPf4MaNVpz1105wYTt2327ypWhTRs4//ycQEJKCtSpU3znKyI5FFgQEREREZFjdvnll7Nt2zaOO+44nnjiCU444QSeeeYZbr/9dg4dOkS1atUYP348ABs2bGDo0KHMmDEDgMzMTN5//32efvpp9u2DRYt84OChh0bw44/L2LevEs41AZ5i4UL/FIYBA3IyEdq398UWRSQ+NBVCRERERETiYudOWLAgcirD4sX+sY8ACQl5pzK0bl34oooiElulciqEmTUHRgJ1nHP9zewq4BzgeODmoNmTwAFglnMuLT49FRERERGRY7F5c84UhlAg4fvvc9Y3aOCDBxdfnBNMaNYMKlWKX59FpHDiGlhwzq0AbjCzV4NFfZ1zV5jZxUC/YNmrzrk3zexlQIEFEREREZE4S0vL/9GKzvnl4VkIX38N69fnbN+smQ8cXHttTiZCw4bxORcROXalLYkoNC9jNdAh+Hlh8D0r2gZmNgwYBpCcnFysnRMRERERqejS0mDYMMjM9K9Xr4YhQ+Cll2D/fh9E+Oknv65SJT914ZxzIosqnnBC3LovIsWgtAUWQpKBdcHPScB8IGoSlHNuPDAefI2FkuiciIiIiEhF4xysXQt33JETVAg5cABmzIDUVLj88pyaCB06QI0acemuiJSgeNdYOAkYBXQ2s3uB183s30B14Jag2Tgz6wO8GaduioiIiIhUODt2wJdfQno6zJnjvzZtyr+9mW8vIhVPvGssbAOG51r8Uq7X15dQd0REREREKqSDB2HhwpwAQno6LF3qsxQAWrWC3r2hWzd44AH48ce8+9CsZJGKq7ROhRARERERKZUeeeQRJkyYgJnRoUMHJk2axNKlSxk+fDj79u2jSpUqPPnkk3Tr1i1iu2XLljFgwIDs1ytWrOD+++/njjvuYMCAASxbtgyA7du3U7duXebPn18s/XcOVq2KzESYNw/27fPr69WD7t3hqqt8IKFr18iaCHXrRtZYAD/dYdSoYumuiJQB5lz5KUuQmprq5s6dG+9uiIiIiEg5tX79es4880wWL15M9erVufLKK7nooot46aWXuPPOO7nwwguZMWMGDz/8MLNmzcp3P1lZWTRq1Ig5c+bQpEmTiHV33XUXderU4c9//nNM+pyR4acohDIR5syBLVv8umrV4PTTfQChe3f/1aSJn9ZQkIKeCiEi5ZeZfeWcS829XBkLIiIiIiJH4dChQ+zdu5fjjjuOzMxMEhMTMTN27twJwI4dO0hMTCxwHzNnzuTUU0/NE1RwzvHKK6/w4YcfFqlvBw7AggWR2QjffefXmfknNPTp4wMI3br54orHHXf0xxk8WIEEEcmhwIKIiIiISCE1atSIu+++m+TkZKpXr06vXr3o1asXjRs3pnfv3tx9990cPnyYzz77rMD9TJkyhUGDBuVZ/sknn9CgQQNOO+20I/bFOVixIrIuwtdf+0c+Apxyig8gXHut/56aCnXqFOm0RUQKpMCCiIiIiEghZWRkMH36dFauXEndunW54oorePHFF0lPT+eRRx7h8ssv55VXXuGGG27ggw8+iLqPAwcO8MYbb/DQQw/lWTd58uSoAQeAbdtypjSEAgnbtvl1NWr4KQ2//W1ONkLjxkee0iAiEgsxCSyY2RnAr4GzgIbAXmAR8BbwonNuRyyOIyIiIiISTx988AHNmjWjXr16APTr14/PPvuMtLQ0HnvsMQCuuOIKhg4dmu8+3n77bbp06UKDBg0ilh86dIhp06bx1VdfsX8/zJ8fWRfh++99OzNo1w4uuyynLkK7dlBFtwxFJE6O+c+Pmb0NbACmA6OAzUA1oCVwDjDdzP7lnHvjWI8lIiIiIhJPycnJfPHFF2RmZlK9enVmzpxJamoqiYmJfPzxx/Ts2ZMPP/ywwKkMubMSnIPly2HChA+oUqU1/folMX++fwQkQGKiDx4MHeozEVJToXbtYj5REZGjEIu45tXOua25lu0G5gVf/zSzk2NwHBERERGRuOrevTv9+/enS5cuVKlShc6dOzNs2DA6d+7M7bffzqFDh6hWrRrjx48HYMOGDQwdOpQZM2YAkJmZyXvvvU+/fk/z5z/7bIT0dP/kBphC1aqDaNkS7rwzJxuhUaP4na+ISGHE7HGTZlYT2OucO2xmLYHWwNvOuYMxOUAh6HGTIiIiIlKa7N2bM6Uh9LVypV9XqRK0b58TQOjWDdq2hcqV49plEZF8lcTjJmcDZ5nZCcBMYC4wANCDaERERESk3Dt82D/aMbwuwoIFcOiQX9+4sQ8g3Hyz/96lC9SqFd8+i4jEQiwDC+acyzSzG4CxzrmHzezrGO5fRERERKTEpaXByJGwZg0kJ8OoUTB4MGzalBNAmDPHP7FhR1CyvHZt6NoVfv97n4nQvTs0bBjf8xARKS4xDSwET4cYDNxQDPsXERERESlRaWkwbBhkZvrXq1fDtdfC7bfnPOqxcmXo2BEGDsyZ1tCqlaY0iEjFEcsL/zuAe4HXnHPfmllz4KMY7l9EREREpNhlZMDXX8O8efCXv+QEFUKysnzthH/+02cjdOkCNWrEp68iIqVBzIo3lgYq3igiIiISO8uWLWPAgAHZr1esWMH999/POeecw/Dhw9m9ezdNmzYlLS2NhISEQm17xx13MH/+fIYPH86+ffuoUqUKTz75JN26dSux8wpxDjZuzAkifP21/1q16sjbmvmaCiIiFUl+xRtj+VSIVOAPQFPCMiGccx1jcoBCUGBBREREpHhkZWXRqFEj5syZQ//+/RkzZgxnn302zz77LCtXruRvf/tbobZt0qQJvXr14s477+TCCy9kxowZPPzww8yaNatY++8crFgRGUCYNw82b85p07IldO7sv7p08d9TU/30h9yaNClcAEJEpDwpiadCpAG/BxYCit+KiIiIlCMzZ87k1FNPpUmTJixbtowePXoAcP7559O7d+8CAwvh2wKYGTt37gRgx44dJCYmxrSvhw7BkiWRAYT58yE4JFWqQLt2cNFFOQGETp18wcXcRo2KrLEAftrDqFEx7bKISJkWy8DCFufcGzHcn4iIiIiUElOmTGHQoEEAtG/fnjfeeIPLLruMqVOnsnbt2kJvC/Doo4/Su3dv7r77bg4fPsxnn31W5H7t3QsLF0ZOZ1i4EPbt8+urV/dBg1//OicboX17OP74wu1/cPDg9GhPhRARES+WUyHOBQYBM4H9oeXOuWkxOUAhaCqEiIiISOwdOHCAxMREvv32Wxo0aMDSpUu57bbb2LZtG5deeimPP/4420KPSDjCtgC33XYbZ599NpdffjmvvPIK48eP54MPPjhiP3bs8JkH4UGEJUt8MUWAunUjpzF06eKnN+jpDCIisVESNRZeBFoD35IzFcI554bE5ACFoMCCiIiISOxNnz6dJ554gvfeey/Puu+++45f//rXpKenF3rbOnXqsH37dswM5xx16tTJnhoRsmlT3qKKP/yQs75hw5wAQiiI0KSJL6ooIiLFoyRqLHRyznWI4f5EREREpBSYPHlyxFSGzZs3U79+fQ4fPswDDzzA8OHDC70tQGJiIh9//DE9e/Zk5swPadLkNKZNi6yJsHFjTvtTT/XBgyFDcoIJQfKDiIiUArHMWHgGeMQ5tzgmOywCZSyIiIiIxFZmZiaNGzdmxYoV1KlTB4DHHnuMJ554AoB+/frx0EMPYWZs2LCBoUOHMmPGjKjbZmXBd9/B5Mn/4+mnb2fPnkPs21eNrKwngdOpXBnatImczpCSAsFhRUQkzkpiKsQS4FRgJb7GguGnQuhxkyIiIiIVzP79sGhRZBbCN9/kPF3h+OOhY8fIIEKHDr7YooiIlE4lMRXighjuS0RERETKiF27YMGCyJoI337rH/sIkJDgMw+GDcupidC6NRx3XFy7LSIiMRKzwIJzbnWs9iUiIiIi8ZGWVvCjFbduzVtUcflyCCXB1q/vMxAuuignG6FZM6hUKT7nIyIixS+WGQvHzMySgXHAVuA7YA1wDnA8cLNzbk8cuyciIiJSrqWl+ayC0HSF1avhhhtg2jSffTBvHqxbl9O+aVMfPPj1r3OmMzRsqCcziIhUNDGrsRALZnYecKpz7mkz+w9Q3Tl3hZldDJzgnHuhoO1VY0FERESkaLZsgXbt/PdoohVVPPHEEu2iiIjEWUnUWIiFr4GRZjYAeAG4MFi+Goj6KEszGwYMA0hOTi6JPoqIiIiUaXv3+ikMc+ZAerr/vnJl/u3NYHHcnvslIiKlXcwCC2bWD/g7UB//RIjQUyESjmI31wN/cc7NNrNXgcPB8mRgXbQNnHPjgfHgMxaK2H0RERGRcunwYf+IxzlzcgIJCxbkFFZs3Bi6d4ff/AbGjIFNm/LuQ/duRESkILHMWHgYuMQ5t+QY9vEOcJ+ZXQWsAuaZ2b+B6sAtx95FERERkfxt376doUOHsmjRIsyMZ599lho1ajB8+HB2795N06ZNSUtLIyEh732TRx55hAkTJmBmdOjQgUmTJlGtWjWmTp3Kfffdx5IlS0hPTyc1NU8GaUxt3pwTRJgzB778Enbs8Otq14auXeH3v/fBhG7dfE2EkIYNI2ssANSo4Qs4ioiI5CdmNRbM7FPn3C9isrMiUo0FERERORbXXnstZ511FkOHDuXAgQNkZmZy/vnnM2bMGM4++2yeffZZVq5cyd/+9reI7davX8+ZZ57J4sWLqV69OldeeSUXXXQR1113HUuWLKFSpUrcdNNNjBkzJqaBhczMnCkNoa/VwXO6KleGjh198KB7d//VuvWRn85wpKdCiIhIxVUSNRbmmtnLwOvA/tBC59y0GB5DREREpFjs3LmT2bNn89xzzwFQtWpVqlatyrJly+jRowcA559/Pr17984TWAA4dOgQe/fu5bjjjiMzM5PExEQA2rRpE5P+HT4MS5fm1ESYMwe++Qaysvz6Jk188OC3v/Xfu3Tx2QZHa/BgBRJEROToxDKwkABkAr3CljlAgQUREREp9VasWEG9evW4/vrrWbBgAaeffjqPPfYY7du354033uCyyy5j6tSprF27Ns+2jRo14u677yY5OZnq1avTq1cvevXqFeUohffjj5HFFb/8Enbu9OsSEnwmwogR/nu3bnDKKcd0OBERkSKLWWDBOXd9rPYlIiIiUtIOHTrEvHnzGDt2LN27d+f2229n9OjRPPvss9x2223cf//9XHrppVStWjXPthkZGUyfPp2VK1dSt25drrjiCl588UV+/etfF+rYmZnw1VeRgYQ1a/y6KlX8lIbBg3PqIrRqdeQpDSIiIiXlmAMLZnaPc+5hMxuLz1CI4Jy77ViPISIiIlLckpKSSEpKonv37gD079+f0aNH87e//Y333nsPgO+++4633norz7YffPABzZo1o169egD069ePzz77LGpgISvLT2kIf0rDwoU5UxqaNoUzzoA77vCBhM6doXr1YjllERGRmIhFxkLoKRCqmigiIiJl1imnnELjxo1ZtmwZrVq1YubMmbRt25bNmzdTv359Dh8+zAMPPMDw4cPzbJucnMwXX3xBZmYm1atXZ+bMmdlFGjdu9AGEFStg+HD/6Mddu/x2der4DIR7783JRqhfvyTPWkRE5Ngdc2DBOfdm8P35Y++OiIiISPyMHTuWwYMHc+DAAZo3b86kSZP4z3/+wxNPPAH4TITrr/ezPzds2MDQoUOZMWMG3bt3p3///qSkdOHQoSqccEJndu4cxsMPw7p1rwG/BbawcWMfGjZMYdy4d+neHU47TVMaRESk7Dvmx02a2XhgrHNuYZR1NYEBwH7nXNoxHagQ9LhJERERKSlZWbB4cWRdhEWL/NMbAJo3z8lCCE1pqFYtvn0WERE5FsX5uMkngT+ZWQdgEbAFqAachn9SxLNAsQcVRERERIrT+vWRdRHmzoXdu/26E07wAYRf/SrnKQ1BuQUREZFyLxZTIeYDV5pZLSAVaAjsBZY455Yd6/5FREREiktaGowc6Z/AkJwMo0b5py/s3u0DB+GBhPXr/TbHHQcpKXDddT4ToXt3aNECzOJ5JiIiIvFzzFMhShNNhRAREZHCSkuDYcP8ox5DKleGhg1hw4acKQ0tWuRMZ+je3QcVjj8+Ll0WERGJq+KcCiEiIiJSJuzf7+sgzJsHv/tdZFABfN2ErVvhT3/KqY9w0knx6auIiEhZoTrEIiIiFdT27dvp378/rVu3pk2bNnz++ef89NNPnH/++Zx22mmcf/75ZGRkRN32kUceoV27drRv355Bgwaxb9++iPVjxozBzNi6dWtJnEpUO3fCJ5/A44/7aQudOkGtWpCa6jMVQvURctu/H+67Dy68UEEFERGRwiiWwIKZVTKzhOLYt4iIiMTG7bffzgUXXMDSpUtZsGABbdq0YfTo0Zx77rksX76cc889l9GjR+fZbv369Tz++OPMnTuXRYsWkZWVxZQpU7LXr127lvfff5/k5OQSO5fNm+Hdd2H0aBgwwD/GsU4d6NEDbr8d3nkHEhPhnntg6lT4/ntfUyGaEuy2iIhIuRCzqRBm9hIwHMgCvgLqmNm/nHP/iNUxREREJDZ27tzJ7Nmzee655wCoWrUqVatWZfr06cyaNQuAa6+9lp49e/L3v/89z/aHDh1i7969HHfccWRmZpKYmJi97s477+Thhx/msssui3m/nfOFFufNg6+/zvkKFVYEaNbMP9rx2muhSxf/c8OGeff14IN5ayzUqOELOIqIiEjhxbLGQlvn3E4zGwzMAP4fPsCgwIKIiEgps2LFCurVq8f111/PggULOP3003nsscfYtGkTDYOr8IYNG7J58+Y82zZq1Ii7776b5ORkqlevTq9evejVqxcAb7zxBo0aNaJTp07H3MesLPjuOx84CA8khGZnVKoEbdrAOef44EHnzr6w4gknFG7/gwf779GeCiEiIiKFF8vAwnFmdhzwK2Ccc+6gmZWfR06IiIiUI4cOHWLevHmMHTuW7t27c/vtt0ed9hBNRkYG06dPZ+XKldStW5crrriCF198kX79+jFq1Cjee++9o+5PqKhiKHgwbx58801ONsHxx0OHDnDFFTlBhA4dfIbBsRg8WIEEERGRYxXLwMLTwCpgATDbzJoAO2O4fxEREYmRpKQkkpKS6N69OwD9+/dn9OjRNGjQgI0bN9KwYUM2btxI/fr182z7wQcf0KxZM+rVqwdAv379+Oyzz+jUqRMrV67MzlZYt24dXbp0IT09nVNOOSV7+127YP78yKkM334Lhw759QkJPvPgxhtzpjK0bg3HHVesQyIiIiJFFLPAgnPuceDxsEWrzeycWO1fREREYueUU06hcePGLFu2jFatWjFz5kzatm1L27Ztef755xkxYgTPP/981DoJycnJfPHFF2RmZlK9enVmzpxJamoqHTp0iJg60bRpU955Zy7ffHMyzz2XE0RYvjxnX/Xr++DBRRf5AEKXLr5GQiU9t0pERKTMiGXxxgbAg0Cic+5CM2sLnAFMjNUxREREJHbGjh3L4MGDOXDgAM2bN2fSpEkcPnyYK6+8kokTJ5KcnMzUqVMB2LBhA0OHDmXGjBl0796d/v3706VLF6pUqULnzp258cZhrF4dOZVh3TpfAyGkaVMfOLjmmpzpDA0bgll8zl9ERERiw5yLTRkEM3sbmASMdM51MrMqwNfOuQ4xOUAhpKamurlz55bU4URERCqk8KKK4V8//eTXV6rkpy6EggdduhxdUUUREREpnczsK+dcau7lsayxcLJz7hUzuxfAOXfIzLJiuH8REREpYfv3+/oH4U9lWLAgp6hi1arQsSNcfnlOECEWRRVFRESk7IhlYGGPmZ0EOAAz+xmwI4b7FxERkWOQllbwoxV37fJBg/DHO4YXVaxdO6eoYigboU0bFVUUERGp6GIZWPgd8AZwqpl9CtQD+sdw/yIiIlJEaWkwbFhOpsHq1XDDDfDmm/71vHnw/fcQmiFZv74PHFx4Yc6TGZo3V1FFERERyStmNRYAgroKrQADljnnDh7l9pWAvwEJwFzgIHAOcDxws3NuT0Hbq8aCiIhIJOdg7VpITYUtW6K3ado0JwMhNJ1BRRVFREQkt2KvsWBmlYGLgKbBfnuZGc65fx3Fbi4DGgE/AeuA4c65K8zsYqAf8EKs+isiIlLeZGX5RzmGP5khvKhiNGawcmXJ9VFERETKn1gmNL4JXAecBNQO+zoarYDPnXO/A24mqNcArAaSom1gZsPMbK6Zzd2S360YERGp8Jo2bUqHDh1ISUkhNdUH2qdOnUq7du2oVKkSBWW8PfLII7Rr14727dszaNAg9u3bl71u7NixtGrVinbt2nHPPfcU+3mEHDjggwYTJ8Ktt8IvfgF16viaB1ddBY89Bv+fvfsOr6LK/zj+PmkkIUBQCKYQAohSAqFEQKQjIKIoiPRVbMiurm2x/GRdUYxYsC6W1RURjA3LUlWUIkURgrRIVVqAQOgQQvr5/TE3l1QIkAZ8Xs9zn+TOnJk5czJc7nznfM85fBj69YO33oLLLit8P+HhZVZlERERuUCV5BgLYdbaZue4j51Auuv3LJyUCoBw17oCrLXvAe+BkwpxjscXEZEL2Pz586lRo4b7fWRkJF9//TX33ntvkdvs2rWLN998k3Xr1uHn58eAAQP47LPPGD58OPPnz2fatGmsWbOGSpUqkZSUVCr1Tk4+OahiTk+E33+HDFfCYUCAM6jiXXedTGdo3DjvoIrVquUdYwGcmRtiYkqlyiIiInIRKcnAwrfGmB7W2jnnsI+vgX8bYzoAC4FDxph3AD/gvpKopIiISI5GjRoVq1xmZiYnTpzA29ublJQUQkJCAHjnnXd44oknqFSpEgBBQUHnXKcDB/KmMaxcCZs2nRxUsWZNJ3DQs+fJQRXr1z/9oIo5sz+calYIERERkbNRkoGFpcA3rgEYM3B6G1hrbdXi7sBamwLclW/xJyVXRRERuVgZY+jRowfGGO69915GjBhRrO1CQ0MZNWoU4eHh+Pn50aNHD3r06AHApk2bWLRoEaNHj8bX15fx48dz1VVXFWu/1sLOnQXHQ0hIOFkmPNwJHAwZcrInQmjo2Q+qOHSoAgkiIiJS8koysPAKcDWw1pbkVBMiIiIlYMmSJYSEhJCUlET37t1p2LAhHTt2PO12hw4dYtq0aWzdupXAwEBuvfVWPv74Y4YNG0ZmZiaHDh1i6dKlLF++nAEDBrBlyxZMvjv/7GxnKsf8PRH273fWGwNXXgnt25+claF5c7j00lJoCBEREZESVpKBhc1AvIIKIiJSEeWkLwQFBdG3b1+WLVtWrMDCjz/+SN26dalZsyYA/fr14+eff2bYsGGEhYXRr18/jDG0bt0aDw8Pdu/ez759NfP0RFi92hknAZxxDyIj4aabTvZCaNbMGSdBRERE5HxUkoGFRGCBMeZbIC1n4RlONykiIlLijh8/TnZ2NlWqVOH48ePMmTOHf/3rX8XaNjw8nKVLl5KSkoKfnx9z5851zyrRq9fNTJ48j99/78yCBZtISEinbt0a7kEVK1d2eh4MH36yJ0LjxuDjUzrnKSIiIlIeSjKwsNX18nG9REREKoS9e/fSt29fwBmIcciQIVx33XV88803/P3vf2ffvn307t2b5s2b8/3337N7927uvvtuZs+eTZs2bejfvz9RUS3JzPTikktakJY2grffho0b78TaO/nww0g8PX2IivqIa6817p4Il18Onp7lfPIiIiIipcxcSJkL0dHR9lTzkIuIiJyOtbB7d8HxELZvP1mmdu2TaQw5MzOEhZ39oIoiIiIi5wNjzAprbXT+5efcY8EYM8Fae78xZgZQIEphre1zrscQERE5E7GxxZtWMTsb/vzzZPAgJ5iwb5+z3hho0ADatoW//e1kMKFGjbI9HxEREZGKrCRSIW4D7gfGl8C+REREzklsLIwYASkpzvvt2533WVnOeAe5eyKsWgXHjjnlvLycQRVvuOFkT4RmzaBKlfI6ExEREZHzwzmnQhhjVlprW5RQfc6JUiFERCQiIm/aQmH8/SEq6mQaQ4sW0KQJVKpUJlUUEREROS+VWioEUNMY80hRKzUrhIiIlKZDh/KmMpwqqBAb6wQTGjTQoIoiIiIiJaUkAgueQACgIatERCqIrKwsoqOjCQ0NZebMmTz66KPMmDEDHx8f6tevz4cffkhgYGCB7V577TX++9//YoyhadOmfPjhh/j6+rJ69WpGjhxJcnIyERERxMbGUrVq1TI9J2shMTHvWAgrV8K2bSfLhIaCnx+cOFFw+zp1YMiQMquuiIiIyEWjJFIhfrPWtiyh+pwTpUKIiDheffVV4uLiOHr0KDNnzmTOnDl07doVLy8vHn/8cQBefPHFPNvs2rWL9u3bs27dOvz8/BgwYADXX389w4cP56qrrmL8+PF06tSJiRMnsnXrVsaOHVtq9c/Ohi1bCg6qmJR0skyDBgVnZqhZs+AYC+CkPrz3XuEDOIqIiIhI8ZRmKoR6KoiIVCA7d+5k1qxZjB49mldfdbLRevTo4V7ftm1bvvzyy0K3zczM5MSJE3h7e5OSkkJISAgAGzdupGPHjgB0796dnj17llhgISMD1q/PG0RYtQqOHnXWe3k54x9cf/3JQEJUFBTVYSIneFCcWSFERERE5NyVRGChWwnsQ0RESshDDz3ESy+9xLGc6Q7ymThxIgMHDiywPDQ0lFGjRhEeHo6fnx89evRwByQiIyOZPn06N910E1OnTiUhIeGs6paSAmvX5k1lWLsW0tKc9X5+TtBg2LCTQYTIyDMfVHHoUAUSRERERMrKOQcWrLUHS6IiIiJy7mbOnElQUBCtWrViwYIFBdbHxMTg5eXF0ELuug8dOsS0adPYunUrgYGB3HrrrXz88ccMGzaMiRMn8sADD/Dss8/Sp08ffHx8TluXQ4ecnge5Uxk2bHDSHACqV3cCB/fffzKV4YorNKiiiIiIyPmmJHosiIhIBbFkyRKmT5/O7NmzSU1N5ejRowwbNoyPP/6Yjz76iJkzZzJ37lyMKZjF9uOPP1K3bl1q1qwJQL9+/fj5558ZNmwYDRs2ZM6cOQBs2rSJWbNm5dk2MfFkD4Sc19atJ9eHhDjBg1tuOTkmQng4FFINERERETnPnPPgjRWJBm8UETlpwYIFjB8/npkzZ/Ldd9/xyCOP8NNPP7kDB/n9+uuv3HnnnSxfvhw/Pz+GDx9OdHQ0f//730lKSiIoKIisrGz69x9OcHBnAgPvdAcR9u49uZ/LL887oGKLFhAUVEYnLSIiIiKlpjQHbxQRkQru/vvvJy0tje7duwPOAI7vvvsuu3fv5u6772b27Nm0adOG/v3707JlS7y8vIiKakG7diOYPBkmTvyUZcveIi0NsrP7AXfg5QWNG8N1150MJJxqUEURERERuTCpx4KIiHDiBKxZkzeVYc2agoMq5vRAyBlU0de3fOstIiIiImVHPRZERASAw4edQRVzj4mwYQNkZTnrAwNPDqqYE0S48koNqigiIiIihVNgQUTkPBcbC6NHw44dzoCIMTEnp1pMTMw7K0Nhgyq2aAF9+54cE6FOHQ2qKCIiIiLFp1QIEZHzWGwsjBgBKSknl+WMfZCUBHv2nFyeM6hi7letWmVfZxERERE5PxWVCuFRHpURESkJqamptG7dmqioKJo0acLTTz+dZ/348eMxxrB///5Ct3/jjTeIjIykSZMmvP766+7lU6dOpUmTJnh4eFDRgpXWwu7d8MMP8NprcO+9eYMKAJmZsH499OwJr78OP/3kpD9s3gxffAH/93/OgIsKKoiIiIhISVAqhIictypVqsS8efMICAggIyOD9u3b06tXL9q2bUtCQgI//PAD4eHhhW4bHx/P+++/z7Jly/Dx8eG6666jd+/eNGjQgMjISL7++mvuvffeMj6jvA4cgN9/h/j4vK9Dh06/bWYmTJpU6lUUEREREVFgQUTOX8YYAgICAMjIyCAjIwPjGhzg4Ycf5qWXXuKmm24qdNv169fTtm1b/P39AejUqRPffPMNjz32GI0aNSqbE3A5dswJIOQPIuROY6hWzZmFYcAA52eTJs6rdWvYvr3gPouIp4iIiIiIlLgKF1gwxlQGFgJPA1WBLkAl4K/W2uPlWTcRqXiysrJo1aoVf/zxB/fddx9t2rRh+vTphIaGEhUVVeR2kZGRjB49mgMHDuDn58fs2bOJji6QLlaiTpxwZl/IH0DIHRjw83MCBtdd5wQQcoIIoaGFD6gYE1NwjAV/f2e5iIiIiEhZqHCBBeBx4AvX732ttbcaY24A+gFTyq9apSc1NZWOHTuSlpZGZmYm/fv355lnnmHq1KmMGTOG9evXs2zZsiJvet544w3ef/99rLXcc889PPTQQ3nWjx8/nkcffZR9+/ZRo0aNMjgjkbLj6enJqlWrOHz4MH379mXNmjXExMQwZ86cU27XqFEjHn/8cbp3705AQABRUVF4eZXMR2JGhjOeQXx83iDCH39AdrZTxtsbGjaEdu2cwEBOAKFuXfA4g9FvcmZ/KGpWCBERERGR0lahAgvGmGuBdYCva1HOlBXbgaZFbDMCGAEUmUtd0RWVJ16cPO9T5YkDp80zF7lQBAYG0rlzZ6ZNm8bWrVvdvRV27txJy5YtWbZsGZdddlmebe666y7uuusuAJ588knCwsLO6JjZ2c7UjfkDCBs2OMEFcIIEl1/uBA4GDTrZC+Hyy53gQkkYOlSBBBEREREpPxUqsICT9lAZaAycANJcy8OBnYVtYK19D3gPnOkmy6COJa6oPPHi5HmfKk8cTp9nLnI+27dvH97e3gQGBnLixAl+/PFHHn/8cZKSktxlIiIiiIuLK7S3TlJSEkFBQezYsYOvv/6aX375pdDjWAu7dp0MHOQEEdaty5uCEBHh9Dq4/vqTAYSGDcHXt9DdioiIiIhcECpUYMFaOxrAGDMc2A9UNca8A/gB95Vj1UpdYXnixXGqPPHi5JmLnM8SExO5/fbbycrKIjs7mwEDBnDDDTcUWX737t3cfffdzJ49G4BbbrmFAwcO4O3tzVtvvUX16tXZtw/eeecbXn317xw7to927XpjbXMyM7937yc42Aka3HuvE0iIjITGjaFKlVI/ZRERERGRCqdCBRZyWGsn5Xr7SXnVoyzlzxOPj48nMjLytNsVlSeekpJSrDxzkfNZs2bNWLly5SnLbNu2zf17SEiIO6hw5Ai8+OIidy+E55+HIUPA6ezQF+hL9erQtOnJ8Q9yfl56aamdkoiIiIjIeadCBhYuZjl54t99912xAgtQeJ74n3/+Wew8c5ELWUoKrF9fMI0hIeFkmYAAJ2Bw4415gwiXXVb4TAwiIiIiInKSAgsVQFF54sVVWJ549erVi51nLnI+iY0tfAaE9HTYtCnvNI6//w5//umMkQBQqRI0agSdOuWdyjE8/MxmYhARERERkZMUWKgAisoT/+abb/j73//Ovn376N27N82bN+f7778vVp64yIUoNtaZmjFnwMTt2+H22+Gxx5wUhsxMZ7mnJ1xxBbRoAX/5y8kgQr16UEIzSoqIiIiIiIux9rycSKFQ0dHRNi4urryrIVIqEhISuO2229izZw8eHh6MGDGCBx98EIB///vfTJgwAS8vL3r37s1LL71UYPs33niD999/H2st99xzDw899BAATz31FNOmTcPDw4OgoCAmTZpESEhIWZ5aoax10hVy90D47LOT0zjm5ucHDz98MoBwxRVO7wQRERERESk5xpgV1troAssVWBA5PyQmJpKYmEjLli05duwYrVq14n//+x979+4lJiaGWbNmUalSJXdqTG7x8fEMGjSIZcuW4ePjw3XXXcc777xDgwYNOHr0KFWrVgXgzTffZN26dbz77rtldl7Wwt69J8c+yJ3GcOzYyXJhYbCz0ElnnXEQsrPLpr4iIiIiIherogIL6hRcTorKExcpSnBwMMHBwQBUqVKFRo0asWvXLt5//32eeOIJKrke0ecPKgCsX7+etm3b4u/vD0CnTp345ptveOyxx9xBBYDjx49jSnG0wkOHCgYQ4uPhwIGTZWrUcGZiuP32vOMgBAZCRIST/pBfeHipVVlERERERE5DgYVyUFie+IgRzu8KLkhxbNu2jZUrV9KmTRseffRRFi1axOjRo/H19WX8+PFcddVVecpHRkYyevRoDhw4gJ+fH7NnzyY6+mSgcfTo0UyePJlq1aoxf/78c65fcjKsW1cwiLB798kyVas6QYNbbjk5C0NkJBQSF3GLicn7bwfA399ZLiIiIiIi5UOpEOWgqKeuderAtm1lXRs53yQnJ9OpUydGjx5Nv379iIyMpGvXrrzxxhssX76cgQMHsmXLlgI9Dz744APeeustAgICaNy4MX5+frz22mt5yowbN47U1FSeeeaZYtUlLQ02bMg7jWN8PGzderKMnx80bpx3GsfISCe14Ww6R6i3j4iIiIhI+dAYCxWIh8fJ6e/ymzABbrjBCTKI5JeRkcENN9xAz549eeSRRwC47rrreOKJJ+jcuTMA9evXZ+nSpdSsWbPI/Tz55JOEhYXxt7/9Lc/y7du307t3b+Lj4/Msz8yEP/7IO/5BfDxs3gxZWU4ZLy9o2DBv+kJkJNSt68zSICIiIiIi5zeNsVCBhIcX3mPBywvuv995NWvmBBhuvBFat3aCEXJxs9Zy11130ahRI3dQAeDmm29m3rx5dO7cmU2bNpGenk6NGjUKbJ8zqOOOHTv4+uuv+eWXXwDYvHkzDRo0AGDatOnUrt2QGTPypjBs2ADp6c5+jIHLL3eCBrfeejKA0KAB+PiUfjuIiIiIiEjFoh4L5SD/GAvg5Im/9x5cdRXMmOG8Fi92ngYHBUHv3k6goUcPCAgov7pL+Vm8eDEdOnSgadOmeLgiTc8//zzXXnstd955J6tWrcLHx4fx48fTtWtXdu/ezd13383s2bMB6NChAwcOHMDb25tXXnmVxo27ER8Po0bdQkLCRtLSPEhPr0NW1rtAKOAEwXJ6IOT0QmjUyElvEBERERGRi4tSISqY4uSJHzoE333nBBm+/RYOH3aeCHfp4vRkUMqEFMf+/YXPxHD48MkytWoVDCA0bgzVqpVbtUVEREREpIJRYOE8l5EBS5ac7M2webOzXCkTF7YzGajw6FEngJA/iLB378kygYF5Awg5QYRCMidERERERETyUGDhArNpk1ImLnRFpcxMmABRUQVnYtixI2+53DMw5LyCg89uJgYREREREREFFi5gBw86KRMzZypl4kJSp07eYEFhfHzyzsSQ86pTR71XRERERESkZCmwcJFQysT5KTMT1q+HlSvht9+cnwsXFl1+6lQngHD55c5sIiIiIiIiIqVNgYWL1PmcMnHnnXcyc+ZMgoKCiI+PB2DgwIFs3LgRgMOHDxMYGMiqVasKbPvGG2/w/vvvY63lnnvu4aGHHgJgzJgxvP/++9SsWRNwZlW4/vrry+R8cpw4AWvWOMGDnEDC2rWQluas9/M7meqQnFxw+zp1YNu2Mq2yiIiIiIiIAgty/qVMLFy4kICAAG677TZ3YCG3f/zjH1SrVo1//etfeZbHx8czaNAgli1bho+PD9dddx3vvPMODRo0YMyYMQQEBDBq1KgyOYfDh2HVqpO9EFauhA0bnAAPOIMptmwJLVo4r5Yt4YorwNPz1NOSFjWAo4iIiIiISGkpKrCgTtQXkUsugSFDnFf+lIn773deTZs6QYaKkDLRsWNHthXxaN5ayxdffMG8efMKrFu/fj1t27bF398fgE6dOvHNN9/w2GOPlWZ12bMnbwDht99g69aT60NCnOBBv34nAwl16hQ9mGJO8KC4s0KIiIiIiIiUBwUWLlLe3tC5s/N65RXYuNHpyTBjBrz4Ijz/fMVOmVi0aBG1atWiQYMGBdZFRkYyevRoDhw4gJ+fH7NnzyY6+mRQbcKECUyePJno6GheeeUVqlevfkbHttYJGOQeD2HlSiewkOPyyyE6Gu6552QQoVatMz/PoUMVSBARERERkYpNqRBSQE7KxIwZTsrEkSPllzKxbds2brjhhgKpEH/961+5/PLL+cc//lHodh988AFvvfUWAQEBNG7cGD8/P1577TX27t1LjRo1MMbw1FNPkZiYyMSJE4s8fmamE3TJHUBYudJpE3BSFho3PpnG0KKFMz5CtWol1gQiIiIiIiIVgsZYkLNS1CwTZZUyUVhgITMzk9DQUFasWEFYWNhp9/Hkk08SFhbG3/72t1PuOzXVGUQxd0+ENWuc5QC+vk7QIPd4CJGRznIREREREZELncZYkLNSEVMmfvzxRxo2bHjKoEJSUhJBQUHs2LGDr7/+ml9++QWAxMREgoODOXoUxo//Bh+fSG6/3QkirFt3clDFatWc4MFf/3qyJ8KVV2pqRxERERERkfzUY0HOWmmnTAwePJgFCxawf/9+atWqxTPPPMNdd93F8OHDadu2LSNHjnSX3b17N3fffTezZ88GoEOHDhw4cABvb2+eeupVAgK6sXIlvPvuX9izZxXp6QaIAP7DZZcF55mZoUULqFu36EEVRURERERELkbnRSqEMeZmoDcQBLwF1AC6AJWAv1prj59qewUWyk95p0yAM6ji9u0Fx0PYvftkmXr18qYytGgBl11WenUSERERERG5UJwXgYUcxpjqwHigqrX2VmPMDUB1a+2UU22nwELFsXHjySDDkiVOikFJpkxkZTnHyD2146pVcOiQs97DAxo1Ik9PhObNITCwBE5ORERERETkInS+BRZeAWKBJ6y1A4wxTYEbrLXjCik7AhgBEB4e3mr79u1lW1k5reKmTMTGwujRsGMHhIdDTIwz1WJaGsTH5+2JsGYNpKQ4+69UCZo1y9sLoWlT8PMr3/MWERERERG5kJwXgQVjjAFeAH6w1v5ojPnCFVjoDVyiHgvnv6JSJsLCYM8eZ3rHHJ6eEBICiYknl1et6vQ8yN0ToWFDZ5BJERERERERKT3nS2DhAeB2YDmwCjgKdAD8gPs0xsKFJydl4p//dHom5OfrCw8/fLI3Qt26pTtOg4iIiIiIiBTuvAgsnCsFFs5fHh7O4Iv5GQPZ2WVfHxEREREREcmrqMCCnv1KhRAefmbLRUREREREpGJQYEEqhJgY8PfPu8zf31kuIiIiIiIiFZcCC1IhDB0K773nzA5hjPPzvfec5SIiIiIiIlJxeZV3BURyDB2qQIKIiIiIiMj5Rj0WREREREREROSsKbAgIiIiIiIiImdNgQUREREREREROWvGWlvedSgxxph9wPbyrscZqgHsL+9KVDBqk4LUJgWpTQpSmxSkNimc2qUgtUlBapOC1CYFqU0KUpsUTu1S0PnYJnWstTXzL7ygAgvnI2NMnLU2urzrUZGoTQpSmxSkNilIbVKQ2qRwapeC1CYFqU0KUpsUpDYpSG1SOLVLQRdSmygVQkRERERERETOmgILIiIiIiIiInLWFFgof++VdwUqILVJQWqTgtQmBalNClKbFE7tUpDapCC1SUFqk4LUJgWpTQqndinogmkTjbEgIiIiIiIiImdNPRZERERERERE5Kx5lXcFLmTGmM7AWOB34DMgBOgCVAL+6ir2NpAOLLDWxhpjhuQuY609XsbVLhXGmHrAaKCatbZ//vN0FTtlWxRWpizPoTQU0i7f4kyZmmytHWWMqcxF1C7GmJuB3kAQ8BbOFDy6Tgq2y8NcxNcJgDGmEfAgzjUyFzjCRX6tFNImfbjIrxMA13kvBJ4GqnKRXydQoE3u4yK/Tkri+1phZcqq/qWlkHZ5HF0rHjhtUhWIAzK4yK+VQtpkELpOOgBDce61GwMTuAiuE6VClCJjTCfgCWAv8Bwwzlp7qzHmBqC6q9hha+0MY8zn1tqBxpipuctYa6eUU/VLhTHmS9cN9NQzbYvCypTPWZS8XO3yFXAA2GytfdkY8xcuwnYxxlQHxgNVdZ2clKtdAtF1Ari/0LyPrhW3XG0SiK4TjDHPAsdxbo5u13VSoE3u4CK/Tkri+1phZcr+TEpWIe3yIrpW+gI3AQeBWcDIi/1aKaRN/sZFfp3kcD0YqgVcezFcJ0qFKF2LrLW9cCK8zwA5UZztQJjrleBaluX6mb/Mheps2qKwMheaW621I4BgY0wzLt52+SfOk3ldJ3nltIuuE8AY0wdYjPN0XtcKBdrkor9OjDHXAutwboxA10lhbXLRXyeUzPe1C61NoGC76FqBK4FfrLWP4DxV1rVSsE10nZw0BPiUi+Q6UWChFFlrs12/HsLp1pIjHNjpeuUED/L/LXLKXOjOpC1OVeaCkOuaSQICuMjaxTheBL611v6Wa9VFfZ3kb5eL/TrJYa2dbq1th9PdMMdFfa3kbhNdJ4DTrbQtzpe7e3Itv5ivk6La5KK9Tkro+9oF1SZQsF30mQI453PI9Xvum72L+VrJ0ya6ThzGmHDgiLX2aK7FF/R1olSIUmSM6Qf0xOmO+g5Ozl4HwA8npxGcnJtUYHGu/Bp3GXvhjLFwKRADdAf+ixONO6O2KKxM2Z1B6SikXRoCKTg5WffinPtF0y7GmAeA24HlwCrgKLpOCmuXq7mIrxNw5/72w7kJWIPzpeaivlYKaZPWXOTXSQ5jzHBgP04O8EV9neTI1Sa3cpFfJyXxfa2wMmV2AqWkkHa5A10r/sC/cdphA/q/p7A20f89gDHmGeB7a+3PxTnfC6FNFFgQERERERERkbN2XnSrEBEREREREZGKSYEFERERERERETlrCiyIiIiIiIiIyFlTYEFEREREREREzpoCCyIiIuc5Y8xoY8zvxpg1xphVxpg2ruX/NcY0LqVj1jTG/GqMWWmM6ZBv3UOukcJz3ieX4HEXGGOiT1Mmz/FL6LidjTHtSnKfIiIiFwoFFkRERM5jxpirgRuAltbaZsC1QAKAtfZua+26Ujp0N2CDtbaFtXZRvnUPASV6Y3+GSuP4nQEFFkRERAqhwIKIiMj5LRjYb61NA7DW7rfW7oaTT/eNMX1cPRlWGWM2GmO2uta3Msb8ZIxZYYz53hgTnH/nxpg6xpi5rt4Qc40x4caY5sBLwPWuffrlKv8AEALMN8bMz7U8xhiz2hiz1BhTy7WspjHmK2PMctfrmkKO72eM+cx1/M9x5vjOWfeOMSbO1VvjmaKOX1g51/IXjDHrXPseX1SdjDERwEjgYdf55umhISIicrEz1tryroOIiIicJWNMALAY5wn9j8Dn1tqfXOsWAKOstXG5yn8B/AS85/p5k7V2nzFmINDTWntnvv3PAL601n5kjLkT6GOtvdkYMxyIttbeX0idtrnW7Xe9t67tZhhjXgKOWmufM8Z8ArxtrV1sjAkHvrfWNsq3r0eASGvtncaYZsBvQFtrbZwx5hJr7UFjjCcwF3jAWrumkOMXKAfsBH4BGlprrTEm0Fp7uKg6GWPGAMnW2vFn+CcSERG54HmVdwVERETk7Flrk40xrYAOQBfgc2PME9baSfnLGmMeA05Ya98yxkQCkcAPxhgATyCxkENcDfRz/T4Fp6fCmUoHZrp+XwF0d/1+LdDYdXyAqsaYKtbaY7m27Qi86TrXNcaYNbnWDTDGjMD5PhMMNAZyrz9VuXVAKvBfY8ysXPUrtE5nfsoiIiIXDwUWREREznPW2ixgAbDAGLMWuB2YlLuMMaYbcCvOjTqAAX631l59poc7iypm2JNdJLM4+f3DA7jaWnviTI9pjKkLjAKustYeMsZMAnyLW85am2mMaY0zVsQg4H6ga1F1yhVoEBERkXw0xoKIiMh5zBhzpTGmQa5FzYHt+crUAd4GBuS6Yd4I1HQN/ogxxtsY06SQQ/yMc+MNMBQn7eJ0jgHFeco/B+eGPqeezQsps9B1XFy9LJq5llcFjgNHXGM29Cri+IWWc6WQVLPWzsYZ7DHn2EXVqbjnJCIictFRjwUREZHzWwDwb2NMIJAJ/AGMyFdmOHAp8I3ryftua+31xpj+wJvGmGo43wleB37Pt+0DwERjzKPAPuCOYtTpPeBbY0yitbbLKco9ALzlSm/wwgkijMxX5h3gQ1eZVcAyAGvtamPMSld9twBLijp+EeWqANOMMb44vTcePk2dZgBfGmNuAv5eyEwYIiIiFy0N3igiIiIiIiIiZ02pECIiIiIiIiJy1hRYEBEREREREZGzpsCCiIiIiIiIiJw1BRZERERERERE5KwpsCAiIiIiIiIiZ02BBRERERERERE5awosiIiIiIiIiMhZU2BBRERERERERM6aAgsiIiIiIiIictYUWBARERERERGRs6bAgojIecIYM8kY85zr9w7GmI1nuZ93jTFPlWztijzWt8aY28viWKeowzXGmM3GmGRjzM3lWZfCuOpVrwLUI9xVF88yPOYZ/W2MMRHGGGuM8Sql+lhjzOWlse/SZIxpbIyJy/V+mzHm2vKs05k6l8+0Yu7/d2NM59Laf2kxxiwzxjQp73qIiJyOAgsiIiXI9YX+hOtGaa8x5kNjTEBJH8dau8hae2Ux6jPcGLM437YjrbVjS7pOxpgxxpiP8x2rl7X2o5I+1hl6FphgrQ2w1v6vnOtSgKteWypAPXa46pJVhoc95d+mot4gl3aA4yyOMxYYX8LH/tgYk2iMOWqM2WSMufsUZQv82z9Txf1MO4f9N7HWLiit/edmjLnEGPONMea4MWa7MWbIKcpWMsa8ZozZbYw5ZIx52xjjnavIeJx/JyIiFZoCCyIiJe9Ga20A0BK4Cvhn/gKlfUMiedQBfj+bDUvz76RrADiHv404jDHBQBfgfyW863FAhLW2KtAHeM4Y0+psdmQcF9N3zreAdKAWMBR45xS9Dp4AooFI4Aqc/zdy/58xHeji+juLiFRYF9OHvIhImbLW7gK+xfnCmNPN+j5jzGZgs2vZDcaYVcaYw8aYn40xzXK2N8a0MMb8Zow5Zoz5HPDNta6zMWZnrve1jTFfG2P2GWMOGGMmGGMaAe8CV7t6UBx2lXWnVLje32OM+cMYc9AYM90YE5JrnTXGjHR1Vz9kjHnLGGPyn6sx5jrgSWCg61irXcsX5DzpdPWeWOJ6OnfYGLPFGNPOtTzBGJNkcqVNuJ7kjTfG7HD1/njXGOPnWlfDGDPTtZ+DxphFhd24GGP+BOoBM1z1qmSMCXGd50HXed+Tq/wYY8yXrqe1R4Hh+fbX1hizx+RKFzDG9DXGrHH93toY84urXomuv4NPvvbMfw24u98bY6oZYya7/o7bjTH/zDmv/E+FTb6n2a523OK6XrYaY4bmb49cdYwzzpPovcaYV/PvzxiTc83kvFKNMdtc5TyMMU8YY/50XWtfGGMuKexYrvKFXl+F/W3ybTcFCM+1/rFcq4e6rov9xpjRubY507o96vo77TbG3JlvXW9jzEpXOyUYY8bkWr3Q9fOwq25XG2PqG2PmuY673xgTa4wJzLW/x40xu1x/n43GmG7FqHOB4xRyGt2B36y1qUWcY0PX9TCoqHYojLX2d2ttWs5b16t+Ifs/1b/9GGPMEiAFqGeMucMYs97VBluMMffm2k/+z7RtxphRxpg1xpgjxpjPjTG++Y+fry5Ffi6YXL1fXOtzru3jrus+wrWuyM/k4jDGVAZuAZ6y1iZbaxfjBAf+UsQmNwJvWmsPWmv3AW8C7mvR9XddAfQ4k3qIiJQ1BRZEREqJMaY2cD2wMtfim4E2QGNjTEtgInAvcCnwH2C6cW5+fXCeQE4BLgGm4nxZLew4nsBMYDsQAYQCn1lr1wMjgV9cXc0DC9m2K86TyQFAsGsfn+UrdgNOz4soV7me+fdjrf0OeB743HWsqCKapQ2wxnW+n7iOdRVwOTAMmGBOpo68iPMEr7lrfSjwL9e6fwA7gZo4TwWfxLnxyV+v+sAOXL1IXDdKn7q2DQH6A8/n3OS53AR8CQQCsfn2txQ4DnTNtXiI61wAsoCHgRrA1UA34G/5qnWzqx0aF9I+/waq4dxwdwJuA+4opFwerpuZN4Fe1toqQDtgVRHF3wDecD2Jrg98kb+AtTbnmgkAqgNLcdoN4AHXOXTCacNDOE9oC6tXkddXEX+b3HX4S771L+Va3R64Eqd9/2WcINqZ1u06YBTOjXkDIH/KxXGc9g8EegN/NSfHgejo+hnoqtsvgHGdawjQCKgNjHEd60rgfuAq19+nJ7CtGHUu7Dj5NQUKHZvA9RkzB/i7tfYz17KcG+/CXjPzbf+2MSYF2AAkArPzH+M0//b/AowAquD87ZNwPk+q4lzXr7nqWJQBwHVAXaAZ+QJ9hSju50Jgruv7DWARsOtUn8mu9ihO210BZFlrN+U65GqgqB4LxvXK/T7MGFMt17L1OJ+/IiIVlgILIiIl73/G6R2wGPgJ50t3jnGuJ1MngHuA/1hrf7XWZrnGIkgD2rpe3sDr1toMa+2XwPIijtca54bkUWvtcWttquspWXEMBSZaa39z3dj9H04Ph4hcZV6w1h621u4A5uPc6J+trdbaD115/J/j3Hw9a61Ns9bOwek+fLkxxuC0z8Ou9jqG0445T10zcG5U67jaZ5G1tsANRH6uYE974HFXO60C/kvep4m/WGv/Z63Ndv2d8vsUGOzaXxWc4NGnANbaFdbapdbaTGvtNpwbk075ts99DeSumycwEPg/a+0x1/avUPSTzvyygUhjjJ+1NtFaW1SKQQZOG9dwPVFdepr9volzk53TM+BeYLS1dqfrmhkD9DeFp3YU5/o6G89Ya09Ya1fj3LTl3HSdSd0GAB9aa+OttcddZd2stQustWtd18EanL9x/r9l7vJ/WGt/cF3L+4BXc5XPAirhBBS9rbXbrLV/nkWdCxMIHCtkeQecJ+W3W2vdAQNr7Q2uG+vCXjfkO6e/4QQFOgBf43w+nYlJrp4Pma5/p7OstX9ax084QY8Op9j+TWvtbmvtQWAGp//sOaPPBWPMQJzA4C3W2gxO/Zlc3LYLAI7kO9QRnHYszLfAg8aYmsaYy3ACTQD+ucocw/k7i4hUWAosiIiUvJtdXzTrWGv/lu8GMiHX73WAf+R+6oVzox3ieu3K96V4exHHqw1st9ZmnkVdQ3Lv11qbDBzA6R2QY0+u31Nwvjifrb25fj/hOmb+ZQE4Txz9gRW52uY713KAl4E/gDmuLtVPFPP4IUBOoCLHdvKebwKn9gnQz/UUsx9ON/TtAMaYK1xPNfcYJ5XieZzeC7kVtf8agA95/87561Yo143xQJweKonGmFnGmIZFFL8L56nqBmPMcmPMDUWUw9VVvTMwxFqb7VpcB/gm199lPc6Nc61CdlGc6+tsFHVNnmndcv8t8vz7Msa0McbMN05ayhGcts3/t8xdPsgY85lx0h2OAh/nlLfW/gE8hBM0SHKVy0k5OpM6F+YQhd+0jgR+ttbOL+Z+CuW6wV4MhAF/PcPN81zrxphexpilrjSFwzhBuSLblDP/7Cn254IxpgUwAejrCgTBqT+TiysZp0dGblUpPPgDEIPTq20V8DNOT7UMnN4dOaoAh8+gDiIiZU6BBRGRspU7UJAAxOR76uVvrf0Up9txqOvJfY7wIvaZAIQX8YTzdE/xd+N8mQbcXeovBXad7kTO4lhnYj9OkKFJrrapZp2uy7ie6P/DWlsPJ0f5kXzpDEXZDVzi6mmQI5y853vK87DWrsO5Ce1F3jQIgHdwuo03sE6qwZPk7eZ8qv3vx7mhqJNrWe66HSfvU8zL8tXre2ttd5wnthuA94uo/2Zr7WAgCCfd5EvX3z0PY0wHnNkGbrLW5n4Cm4CTcpH7uvW1zpgi+Z3r9XWm19SZ1C0R56YxR/5/X5/gPPGvba2thjNeSc7fsrB6jXMtb+b62w/LVR5r7SfW2vY47WFx2v50dS7O+a/BCRTlNxLnc+G13AuNMwVschGvb09xHC8KGWMh5/ROt9wViPsKZ5aDWtZJzZpNwX8fZ624nwvGmJrAN8D91trcqWqn+kwubtttAryMMQ1y7TeKIgYptU7Pm/uttaGueh8AVti8s7M0wumZIyJSYSmwICJSft4HRrqejBpjTGXjDBhXBfgFyAQeMM5gev1wUh4KswznJukF1z58jTHXuNbtxcnX9Sli20+AO4wxzV1f/J8HfrVON/wztReIMCUw+rvr6fj7ODnYQQDGmFBjTE/X7zcYY3JSJo7iPOE97TSJ1toEnKeC41zt1AznCX7sqbcs4BOcLssdcca/yFHFVZ9kV4+BYj/hdd1IfAHEGGOqGGPqAI/gPPkG54lmR2NMuCv/+v9ytjXG1DLG9HHduKfhPDUttD2MMcOMMTVdbXzYtTgrX5naOKkqt9m8ueLg3GDHuOqHqwv3TUWc1rleX3txxpsorjOp2xfAcGNMY2OMP/B0vvVVcHq3pBpjWuMEkXLsw0k9qZevfDLOQIuhwKM5K4wxVxpjurraIBUnaJbT5qeqc2HHye8HoKUpOLDhMZzxCToaY17IWWidKWADinj1ctUhyBgzyBgTYIzxdP27GwzMy3VO1hjT2fW2OP/2fXDSQfYBmcaYXpTwgITF+VxwBWC/AmKttZ/n28WpPpOL1Xau3kNfA8+6tr8GZ9yWKUXUOdQ4A8oaY0xb4ClyXYuua6YVzt9ZRKTCUmBBRKScWGvjcHJ6J+B0Z/4D1+Bk1tp0nG72w13rBuJ8WS1sP1k4T+cuxxnsbqerPDg3Ar8De4wx+wvZdi7OF9mvcIIT9Tk5jsGZyrnBPmCM+e0s95Hb4zhtstQ4Xct/xBmwD5zB9n7EuZH7BXjbFn+O+sE4g1zuxnlq+bS19ky/tH+KkyIwz1qbu11H4dyAHsO5Scl/43I6f8fpmbAFZ4yOT3AGk8NVx89xnlCvwBmwM4cHzsB1u4GDOLn9+QeNzHEd8LsxJhln4LpBtuCMAt1wekR8meuJbM4T1zdwnuTPMcYcwxnYsU1hByqB62sc8E/jdEsfVYzyZ1K3b4HXcf6N/EGum2aXv+HcHB7DGTT0i1zbpuB0YV/iqltb4BmcqQKPALPI+++1EvACTq+UPTi9RZ48XZ2LOE7+89jrqnuBAIq19jDO4JS9jDFjC2uHIlicoNhOnM+f8cBD1tppAMaYMJx/e2td5U/7b9+VfvQATjsewvl3Mv0M6lQcxflcCMMZ1+GhfD0Owk/1mXyG/gb44aQzfAr81brGPHEFBpONMTk9ZOrjBDuPAx8BT1hnvJkcfYAF1trdZ1EPEZEyY+zpx7oSERERkQrKGNMY56a0tS2DL3bGmGE4aUr/d9rCck6MMb8Cd1lr48u7LiJy7owxD+IEMA3wvrX2deNMKZ7z4CQQOGytbW6caaMfzbV5M5wA9iacgG59nF5ZM6y1BcaUMcZ44wxQ3RInnW2ytXaca90CnNTJnHHAelhrk/Lv44zOTYEFERERERERkdJjjInEmXK5Nc4sWN/h9GjanKvMK8ARa+2z+bZtCkyz1tZzpe+1sdbOd6W6zgWed/XEy73NEKCPtXaQa5t1QGdr7TZXYGGUq6dWiVAqhIiIiIicF4wxT5ozH3hSRKQiaAQstdamWGcmr5+AvjkrXePDDMA1hXU+gzk5tXWKdc3440qd/Q0nzSs/C1R2jS3jhxPMOFpyp5OXAgsiIiIicl6w1j5/qsETRUQqsHicAXUvdfUguJ68sxN1APbm7sGQy0AKCTgYYwJxxtmaW8g2X+KM35KIMwbXeGvtwVzrPzTGrDLGPOUKapyTwqYmExEREREREZESYq1db4x5EWeWl2ScaWQzcxVx90rIzRjTBkjJP9aKqyfCp8Cb1tothRyyNc4YDCFAdWCRMeZHV9mh1tpdrllvvgL+Akw+l/O7oMZYqFGjho2IiCjvaoiIiIiIiIgUadeuXXh7exMUFIS1ljVr1tCoUSN8fPLOEJ6QkICXlxfBwcF5lm/btg0PDw/Cw8MpzI4dO6hcuTKXXnqpu3zVqlW55JJL8pTbv38/KSkpRe4nvxUrVuy31tbMv/yC6rEQERFBXFyJjT8hIiIiIiIiUiKSkpIICgpix44d9OjRg19++YXq1avz3XffMW7cOH766ac85bOzswkPD2fhwoXUq1fPvfyf//wn69evZ+rUqXh4FD66wYsvvsiGDRuYOHEiKSkpXHXVVXz22Wc0btyYw4cPU6NGDTIyMhg8eDDXXnstI0eOLNY5GGO2F7a81AILxph6wGigmrW2v2tUyi44czn/1VXsbZxBJBZYa2OLU6a06isiIiIiIiJSWm655RYOHDiAt7c3b731FtWrVwfgs88+Y/DgwQXKL1y4kLCwsDxBhZ07dxITE0PDhg1p2bIlAPfffz93330306dPJy4ujmeffZb77ruPO+64g8jISKy13HHHHTRr1ozjx4/Ts2dPMjIyyMrK4tprr+Wee+4553Mr9VQIY8yXrsDCVGvtrcaYG3ByPMCZo3OGMeZza+3A4pQ51bGio6OteiyIiIiIiIiIlDxjzAprbXT+5WU5K0ROBGM7znQYYUCCa1nWGZTJwxgzwhgTZ4yJ27dvX4lXWkRERERERESKVh7TTYYDO12vnPk289ejOGUAsNa+Z62NttZG16xZYAwJERERERERkQojdm0sEa9H4PGMBxGvRxC79vzP+C/NMRYuBWKAFsaY/wP+Z4x5B/AD7nMVm2CM6Q3McL0vThkRERERERGR807s2lhGzBhBSkYKANuPbGfEjBEADG06tDyrdk4uqOkmNcaCiIiIiIiIVFS1X6vNzqM7CyyvU60O2x7aVvYVOkNFjbFwQU03KSIiIiIiIlKRZGVnMXfrXCatmlRoUAFgx5EdZVyrkqXAgoiIiIiIiEgJ27h/Ix+t/ojJqyez69guqvtWJ8AngOT05AJlw6uFl0MNS44CCyIiIiIiIiIl4EjqEb74/Qs+XPUhv+z8BQ/jwXWXX8drPV+jz5V9+HL9l3nGWADw9/YnpltMOdb63CmwICIiIiIiInKWsrKzmLd1HpNWT+Lr9V+TmplKoxqNeOnalxjWbBjBVYLdZXMGaBw9dzQ7juwgvFo4Md1izuuBG0GDN4qIiIiIiIicsc0HNrtTHRKOJhDoG8jgyMEMbz6cq0KuwhhT3lUscRq8UUREREREROQcHE07yhe/f8GkVZNYkrAED+NBz/o9Gd9jPH2u7IOvl295V7FcKLAgIiIiIiIiUoRsm838rfOZtHoSX637ihOZJ2hYoyEvdHuBv0T9hZAqIeVdxXKnwIKIiIiIiIhIPn8e/JNJqyYxec1kdhzZQbVK1bg96naGNx9O69DWF2Sqw9lSYEFEREREREQEOJZ2jKnrpjJp1SQW7ViEwdCjfg9evPZFbrryJvy8/cq7ihWSAgsiIiIiIiJy0cq22fy07Sc+XPUhX63/ipSMFK689ErGdRvHsGbDCKsaVt5VrPAUWBAREREREZGLzpZDW/ho1Ud8tPojth/ZTtVKVRnWdBh3tLiDNqFtlOpwBhRYEBERERERkYtCcnoyX677kg9XfcjC7QsxGLrX7864buO4ueHNSnU4SwosiIiIiIiIyAUr22azcPtCJq2axJfrvuR4xnEaXNKAmK4x/KXZX6hdrXZ5V/G851HeFRAREREREZELx2uvvUaTJk2IjIxk8ODBpKam8uijj9KwYUOaNWtG3759OXz4MAA//PADrVq1omnTprRq1Yp58+a599O5c2euvPJKmjdvTvPmzUlKSir0eOPGjePyyy/nyiuv5Pvvv3cv79StE5fVvwzfEF+69O/CV79/xZCmQ1hy5xI23r+RJzs8qaBCCTHW2vKuQ4mJjo62cXFx5V0NERERERGRi9KuXbto374969atw8/PjwEDBnD99dcTEhJC165d8fLy4vHHHwfgxRdfZOXKldSqVYuQkBDi4+Pp2bMnu3btApzAwvjx44mOji7yeOvWrWPw4MEsW7aM3bt3061bN56a+hST4yezYMMCjK+ha92uHJ18lPuG38ftw24vk3a4UBljVlhrC/xB1GNBRERERERESkxmZiYnTpwgMzOTlJQUQkJC6NGjB15eTiZ+27Zt2blzJwAtWrQgJCQEgCZNmpCamkpaWlqxjzVt2jQGDhzIr3t+5dk1z7LDcwd3vnMnO4/u5Llez7HtoW18O/hbavnVwtfbt+RPVgAFFkRERERERKSEhIaGMmrUKMLDwwkODqZatWr06NEjT5mJEyfSq1evAtt+9dVXtGjRgkqVKrmX3XHHHTRv3pyxY8eSv7f9tsPb+N+y//H6+tfpNKkTX637ivoR9Rnbaiyb7t/E6I6juWfAPQQFBVGlShX69+9fOictCiyIiIiIiIhIyTh06BDTpk1j69at7N69m+PHj/Pxxx+718fExODl5cXQoUPzbPf777/z+OOP85///Me9LDY2lrVr17Jo0SIWLVrElClTOJ5+nCmrp9D1o67UfaMuy3Yto6Z/Tab0nULiPxJpH96eRkGN3FNFfv/99yQmJpKWlpZn/AYpWZoVQkRERERERErEjz/+SN26dalZsyYA/fr14+eff2bYsGF89NFHzJw5k7lz57pv/AF27txJ3759mTx5MvXr13cvDw0NBSAgIIDoHtG88PkL3LfrPpLTk6lXvR7Pdn6WY1nHqO5XnWHNhrn3lZNakcPX15c+ffowbdo0unfvXtpNcFFSYEFERERERERKRHh4OEuXLiUlJQU/Pz/mzp1LdHQ03333HS+++CI//fQT/v7+7vKHDx+md+/ejBs3jmuuuca9PDMzk/gd8czcOZMPV3zIlolbqHRFJYY2Hsrw5sNpH94eYwy/1/idIUOG8Mgjj7B79242b95M69atSU5O5tixYwQHB5OZmcns2bPp0KFDeTTJRUGBBRERERERESkRbdq0oX///rRs2RIvLy9atGjBiBEjaNKkCWlpae4eA23btuXdd99lwoQJ/PHHH4wdO5axY8eSbbO59/V7+fKPL1nw9ALIgspelenRqQdTP5hKVb+qTJ8+nac/eJpnn32WJk2aMGDAABo3boyXlxdvvfUWnp6eHD9+nD59+pCWlkZWVhZdu3Zl5MiR5ds4FzBNNykiIiIiIiLlxlrLzwk/M2nVJD7//XOOpR+jbmBdhjcfzm1RtxERGFHeVRSXoqabVI8FERERERERKXMJRxKYvHoyk1ZP4o+Df1DZuzK3NrmVO5rfQfvw9ngYzTVwvlBgQUREREREREpF7NpYRs8dzY4jOwivFs7TnZ6mklclJq2axI9bfsRi6RzRmX92+Ce3NL6FAJ+A8q6ynAWlQoiIiIiIiEiJi10by4gZI0jJSCmwLiIwguFRTqpD3ep1y6F2cjaUCiEiIiIiIiJlIiMrg398/49Cgwq1Ktfizwf+VKrDBUSBBRERERERETlnSceT+Hbzt8zaPIs5f87hSNqRIsspqHBhUWBBREREREREzli2zWZl4kpmbZ7FrM2zWL5rORZLcEAw/Rv3Z/rG6exL2Vdgu/Bq4eVQWylNZRZYMMaEAxOA/cAmYAfQBagE/NVV7G0gHVhgrY01xgzJXcZae7ys6isiIiIiIiJ5HUs7xo9bfmTW5lnM3jybxOREDIbWoa15pvMz9L6iNy0ua4ExptAxFvy9/YnpFlOOZyCloSx7LFwBzLLW/scYMxloZa291RhzA9DPVeZLa+0MY8znQCzQN1+ZKWVYXxERERERkYve5gOb3b0Sftr2ExnZGVSrVI2el/ekd4PeXHf5dQRVDiqw3dCmQwHyzAoR0y3GvVwuHGUZWFgJjDbGDMQJEPRyLd8ONHX9vtb1M8v10xZSJg9jzAhgBEB4uLrUiIiIiIiInIv0rHQWbV/ErM2zmLlpJpsPbgagUY1GPNjmQXpf0Ztral+Dt6f3afc1tOlQBRIuAmUZWLgDeNpau9AY8yWQ7VoeDux0/R4GrALyj+SRu0we1tr3gPfAmW6yhOssIiIiIiJywduTvIfZm2cza/MsfvjzB46lH6OSZyW61O3CA20eoHeD3poWUopUloGF74AxrnETtgG/GWPeAfyA+1xlJhhjegMzXO//V0gZEREREREROQfZNpsVu1cwc9NMZm2exYrEFQCEVQ1jSNMh9G7Qm651u1LZp3I511TOB8baC+chf3R0tI2LiyvvaoiIiIiIiFQ4R1KP8MOWH5i1eRbfbv6Wvcf34mE8aBvWlt4NetO7QW+a1WqGMaa8qyoVlDFmhbU2Ov9yTR4qIiIiIiJSAjZu3Ejz5s3dr6pVq/L6669z8OBBunfvToMGDejevTuHDh0C4MCBA3Tp0oWAgADuv//+PPtKT09nxIgRXHHFFTRs2JCvvvqqwPF++OEHWrVqRdOmTWnVqhXz5s3Ls95ay4b9G3jl51fo+lFXarxcg1un3sq0DdPoWrcrH/f9mKRRSSy5cwlPdniSqMuiFFSQs6IeCyIiIiIiIiUsKyuL0NBQfv31V9566y0uueQSnnjiCV544QUOHTrEiy++yPHjx1m5ciXx8fHEx8czYcIE9/ZPP/00WVlZPPfcc2RnZ3Pw4EFq1KiR5xgrV66kVq1ahISEEB8fT8+ePdmyfQs/bf/JneKw5dAWACKDIundoDc3XHEDbcPa4uVRllnxcqEoqseCriYREREREZESNnfuXOrXr0+dOnWYNm0aCxYsAOD222+nc+fOvPjii1SuXJn27dvzxx9/FNh+4sSJbNiwAQAPD48CQQWAFi1aALDr6C5+Tv2ZfUf3ccnzl5BiU/D18qVb3W6MunoU1ze4njqBdUrvZOWip8CCiIiIiIhICfvss88YPHgwAHv37iU4OBiA4OBgkpKSTrnt4cOHAXjqqadYsGAB9evXZ8KECdSqVQuArOwslu1axqzNs5i1eRar9qyC36FScCWGtxpO7yt60yWiC37efqV2fiK5KbAgIiIiIiJSgtLT05k+fTrjxo07q+0zMzPZuXMn11xzDa+++iqvvvoqDzz8AP2e7OcMvPjHt+xP2Y+n8aRd7XY8XO9hpn44lfk/zufyyy8v4bMROT0FFkRERERERErQt99+S8uWLd09DGrVqkViYiLBwcEkJiYSFBR0yu0vvfRS/P39ueKaK3hpyUt8Zb9i2Y/L+OLKL7jU71J6NehF7wa96Vm/J8cPHKdr1658FvuZggpSbhRYEBERERERKUGffvqpOw0CoE+fPnz00Uc88cQTfPTRR9x0002Fbnci4wQLti1g5qaZcCU0e7wZ1IPaW2rTsFFDJt45kdahrfH08ASclInevXszbtw4rrnmmjI5N5HCaFYIERERERGREpKSkkLt2rXZsmUL1apVA5xpJQcMGMCOHTsIDw9n6tSpXHLJJQDUDq/NwSMHSUtLI6tSFgwD/1B/2lVpx7YPt+GV7kVIrRA+/PBDwsPDmT59OnFxcTz77LM899xzjBs3jgYNGriPP2fOnNP2iBA5W0XNCqHAgoiIiIiISBnJzM5k6c6lzNrkDLy4NmktAPWq16N3g970btCbThGd8PXyLeeaihSk6SZFRERERERKSezaWEbPHc2OIzsIrxZOTLcYhjYdCsDBEwf57o/vmLV5Ft/98R0HTxzEy8OL9uHtebn7y9xwxQ1ceemVGGPK+SxEzo4CCyIiIiIiIucgdm0sI2aMICUjBYDtR7Zz9/S7mbZhGruP7eaXnb+QbbOp6V+TG6+4kd4NetOjfg+q+VYr55qLlAylQoiIiIiIiJyDiNcj2H5ke6HrWgW3clIcruhNdEg0HsajjGsnUnKUCiEiIiIiIlJC9qfsZ+H2hczfOr/IoILBEDdCDz7lwqfAgoiIiIiIyGkcPHGQn7b9xIJtC1iwfQFr9q4BwN/bH18vX1IzUwtsE14tvKyrKVIuFFgQERERERHJ59CJQyzcvpAF2xYwf9t81uxdg8Xi5+VH+/D2xHSNoXNEZ64KuYov1n2RZ4wFcAIOMd1iyvEMRMqOAgsiIiIiInLRO5J6JE8gYdWeVVgsvl6+XFP7Gp7t8ixdIrpwVehV+Hj65Nk2Z/aHomaFELnQnXbwRmPM1cAwoAMQDJwA4oFZwMfW2iOlXcni0uCNIiIiIiJSHEdSj7B4x2J3IGHlnpVk22wqeVaiXe12dI7oTJeILrQObU0lr0rlXV2RCuGsBm80xnwL7AamATFAEuALXAF0AaYZY1611k4v+SqLiIiIiEhFEhERQZUqVfD09MTLy4u4uDhWr17NyJEjSU5OJiIigtjYWKpWrUpsbCwvv/yye9s1a9bw22+/0bx5cz7//HNiYmLIysqid+/evPTSS4Ueb9y4cXzwwQd4enry5ptv0rNnTwBGjx7N5MmTOXToEMnJycWq+7G0YyzesZj52+azYNsCViSuINtm4+Ppw9VhV/NUx6foEtGFNmFt8PXyPffGErmInLLHgjGmhrV2/yl3UIwyZUU9FkRERERESk9ERARxcXHUqFHDveyqq65i/PjxdOrUiYkTJ7J161bGjh2bZ7u1a9dy0003sWXLFg4cOECLFi1YsWIFNWvW5Pbbb+e2226jW7duebZZt24dgwcPZtmyZezevZtrr72WTZs24enpydKlS6lTpw4NGjQoMrCQnJ7Mkh1L3IGEuN1xZNksvD28aRvWli4RXegc0Zm2YW3x8/Yr+cYSuQCdVY+FnICBMaYycMJam22MuQJoCHxrrc2oKEEFEREREREpexs3bqRjx44AdO/enZ49exYILHz66acMHjwYgC1btnDFFVdQs2ZNAK699lq++uqrAoGFadOmMWjQICpVqkTdunW5/PLLWbZsGVdffTVt27YtUI/j6cdZkrDEndoQtzuOzOxMvD28aR3amv9r/390jujM1bWvxt/bvzSaQuSiVdzBGxcCHYwx1YG5QBwwENBoJCIiIiIiFwljDD169MAYw7333suIESOIjIxk+vTp3HTTTUydOpWEhIQC233++edMmzYNgMsvv5wNGzawbds2wsLC+N///kd6enqBbXbt2pUngBAWFsauXbvc71MyUsiyWfxz3j+Zv20+y3YtIzM7Ey8PL64KuYrH2j1G54jOtKvdjso+lUuhNUQkR3EDC8Zam2KMuQv4t7X2JWPMytKsmIiIiIiIVCxLliwhJCSEpKQkunfvTsOGDZk4cSIPPPAAzz77LH369MHHJ++MCb/++iv+/v5ERkYCUL16dd555x0GDhyIh4cH7dq1Y8uWLQWOlT9lOzM7k/ikeFbPW82C7Qv4deevZGRk8MLiF7gq9CpGXT2KLnW70K52OwJ8AkqvEUSkgGIHFlyzQwwF7jrDbUVERERE5AIQEhICQFBQEH379mXZsmWMGjWKOXPmALBp0yZmzZqVZ5vPPvvMnQaR48Ybb+TGG28E4L333sPT07PAsS4LuYyf1vzE5vmbWbB9AYsWL8J6Wjz2exAdEs3DbR/mTe83SXo8iSqVqpTG6YpIMRU3OPAQ8H/AN9ba340x9YD5pVYrERERERGpUI4fP052djZVqlTh+PHjzJkzh3/9618kJSURFBREdnY2zz33HCNHjnRvk52dzdSpU1m4cGGefeVsc+jQId5++22++OIL0jLT+HXXr8zfOp8F2xewZM8SMqZmYHwNkX6RVE2uypRRU+hUtxNVK1UF4C3zloIKIhVAsQIL1tqfgJ9yvd8CPFBalRIRERERkYpl79699O3bF4DMzEyGDBnCddddxxtvvMFbb70FQL9+/bjjjjvc2yxcuJCwsDDq1auXZ18PPvggq1av4kTGCVoPbs3IX0byy9RfSI1Phd3QcmhLHrjxAfZ67WXxx4tJ807j04mf0qthLwAee+wxPvnkE1JSUggLC+Puu+9mzJgxZdMQIlLAKaebdBcyJhp4EoggVzDCWtus1Gp2FjTdpIiIiIhIxZSelc7yXcvdszb8nPAzJzJPYDBEXRblnv6xY52OBPoGlnd1RaQQZzXdZC6xwKPAWiC7JCsmIiIiIiIXnoysDOJ2xzF/23wWbFvAkoQlpGSkABBVK4oRrUa4AwmX+F1SzrUVkXNR3MDCPmvt9HM5kDHGAxgLVMWZrjID6AJUAv7qKvY2kA4ssNbGGmOG5C5jrT1+LnUQEREREZFzF7s2ltFzR7PjyA7Cq4UT0y2GgU0GsmL3CncgYfGOxRzPcL6+Nw1qyl0t7qJLRBc61unIpf6XlvMZiEhJKm4qRDdgMDAXSMtZbq39utgHMqYvcBNwEJgFjLTW3mqMuQGo7ip22Fo7wxjzubV2oDFmau4y1toppzqGUiFEREREREpX7NpYRswY4e59AOBhPPD28CYty7lVaFKzCZ0jOrsDCTUr1yyv6opICTrXVIg7gIaANydTISxQ7MACcCXwi7X2P8aYL3PtZzvQ1PX7WtfPrFzHyF8mD2PMCGAEQHh4+BlUR0REREREiutExgmW7VrGfbPuyxNUAMi22Xh7ejOl7xQ6RXQiqHJQOdVSRMpDcQMLUdbaQm/sz8BOnDQHcAIHxvV7uGsdQBiwCvDIt23uMnlYa98D3gOnx8I51lFERERERIAjqUdYkrCERdsXsXDHQuJ2x5GelV5k+ePpx7m1ya1lWEMRqSiKG1hYaoxpbK1ddw7H+hr4tzGmA7AQOGSMeQfwA+5zlZlgjOkNzHC9/18hZUREREREpITtSd7Dou2LWLRjEQu3L2TN3jVYLF4eXkSHRPNgmwfpWKcjf531V3YeLfjML7yaeg+LXKyKG1hoD9xujNmKM8aCAeyZTDdprU0B7sq3+JN87+/I/cZa+0khZURERERE5BxYa9l6eCsLty90BxM2H9wMgL+3P1eHXc3TnZ6mY52OtAlrg7+3v3vbI2lHCoyx4O/tT0y3mDI/DxGpGIobWLiuVGshIiIiIiKlJttm83vS704gYYcTSNh9bDcA1X2r06FOB0a0GkGH8A60DG6Jt6d3kfsa2nQoQIFZIXKWi8jFp1izQpwvNCuEiIiIiJSkrKwsoqOjCQ0NZebMmaxevZqRI0eSnJxMREQEsbGxVK1alfT0dO69917i4uLw8PDgjTfeoHPnzqSkpHDrrbfy559/4unpyY033sgLL7xQ6LHWrFnDvffey9GjR/Hw8GD58uX4+voyevRoJk+ezKFDh0hOTi5WvdOz0vkt8Tf3+AhLdizhUOohAEKrhNKxTkc6hHegQ50ONK7ZGA+Tf4gzEZGCznVWCBERERGRi84bb7xBo0aNOHr0KAB3330348ePp1OnTkycOJGXX36ZsWPH8v777wOwdu1akpKS6NWrF8uXLwdg1KhRdOnShfT0dLp168a3335Lr1698hwnMzOTYcOGMWXKFKKiojhw4ADe3k6vgRtvvJH777+fBg0aFFnP4+nHWbpzqXt8hKU7l3Ii8wQAV1x6Bf0a9XMHEyICIzDGFLkvEZEzpcCCiIiIiEghdu7cyaxZsxg9ejSvvvoqABs3bqRjx44AdO/enZ49ezJ27FjWrVtHt27dAAgKCiIwMJC4uDhat25Nly5dAPDx8aFly5bs3Flw4MM5c+bQrFkzoqKiALj00kvd69q2bVug/METB1m8Y7F7fIQViSvIzM7Ew3gQVSuKe1reQ8c6HWkf3p5aAbVKtmFERPJRYEFEREREpBAPPfQQL730EseOHXMvi4yMZPr06dx0001MnTqVhIQEAKKiopg2bRqDBg0iISGBFStWkJCQQOvWrd3bHj58mBkzZvDggw8WONamTZswxtCzZ0/27dvHoEGDeOyxx9zrdx7dSWZ2Jn+b9TcW7VhEfFI8AD6ePrQObc2j7R6lQ3gH2tVuRzXfaqXVJCIihSpWYMEY0w94EQjCmREiZ1aIqqVYNxERERGRcjFz5kyCgoJo1aoVCxYscC+fOHEiDzzwAM8++yx9+vTBx8cHgDvvvJP169cTHR1NnTp1aNeuHV5eJ79qZ2ZmMnjwYB544AHq1atX4HiZmZksXryY5cuX4+fnR/vO7dlbdS/7L9vPou2L2Hp4K2TClDVTuKb2NQxqMogOdTrQOrQ1vl6+pd4eIiKnUtweCy8BN1pr15dmZUREREREKoIlS5Ywffp0Zs+eTWpqKkePHmXYsGF8/PHHzJkzB3B6GcyaNQsALy8vXnvtNff27dq1yzMmwogRI2jQoAEPPfRQgWNlZWeRWTmToMZBjJw3ksU7FrO3yl5Wfb2KGt1r0LFORx5o8wBPvvQkhx4/hJeHOh2LSMVS3E+lvQoqiIiIiMjFYty4cYwbNw6ABQsWMH78eD7++GOSkpIICgoiOzub5557jpEjRwKQkpKCtZbKlSvzww8/4OXlRePGjQH45z//yZEjR/jvf/8LQFpmGst3L3ePj7AkYQlHDx+F3yCxUyLd6nXjt+O/8eCDD3Lv4HvdAy3+0/xTQQURqZCK+8kUZ4z5HPgfkJaz0Fr7dWlUSkRERESkIvr000956623AOjXrx933HEHAElJSfTs2RMPDw9CQ0OZMmUK4AwAGRMTQ+16tQm+Ipjj6cdJa5lGZotM2AA1jtRg8N8G0yG8A/vq7eP9N95ntVnNjdffyMghTtDiscce45NPPiElJYWwsDDuvvtuxowZUy7nLyJSGGOtPX0hYz4sZLG11t5Z8lU6e9HR0TYuLq68qyEiIiIiF7F9x/exaMcid4+ElXtWkm2z8TSetAxuSYfwDnSo04H24e2p4V+jvKsrIlJsxpgV1tro/MuL1WPBWntHyVdJRERERKTii10by+i5o9lxZAfh1cKJ6RbD0KZD3eu3H97Owu0LnWDCjkVs2L8BAF8vX9qEtmF0h9F0CO/A1bWvJsAnoLxOQ0Sk1JwysGCMecxa+5Ix5t9Aga4N1toHSq1mIiIiIiLlLHZtLCNmjCAlIwWA7Ue2c/f0u5m7ZS5pWWks2r6IhKPOlJPVKlXjmvBrGB41nA51OtAquBWVvCqVZ/VFRMrE6Xos5AzYqPwCEREREbnoPDn3SXdQIUdqZiofrvqQywIuo0N4Bx4Nf5SOdToSGRSJp4dnOdVURKT8nDKwYK2d4fr5UdlUR0RERESk/Fhr2XhgI/O2zmP+tvnsOLKj0HIGw+5HdrtnbBARuZidLhXiPeDf1tq1hayrDAwE0qy1saVUPxERERGRUrX10FbmbZ3HvG3zmL91PonJiQDUrlqbyt6VOZ5xvMA24dXCFVQQEXE5XSrE28BTxpimQDywD/AFGgBVgYmAggoiIiIict7YeXQn87fOZ/62+czbOo/tR7YDUKtyLbrU7ULXiK50rduVetXr8Un8J3nGWADw9/YnpltMeVVfRKTCOV0qxCpggDEmAIgGgoETwHpr7cbSr56IiIiIyLlJOp7Egm0L3OkNmw5sAqC6b3W61O3CqHaj6Fq3K41qNCrQCyFn9odTzQohInKxM9YWmOzhvBUdHW3j4jTOpIiIiMjF7NCJQ/y0/Sfmb53PvG3ziE+KB6CKTxU61ulI17pOj4RmtZrhYTzKubYiIucPY8wKa210/uWnS4UQERERkQtcamoqHTt2JC0tjczMTPr3788zzzzD6tWrGTlyJMnJyURERBAbG0vVqlVZtmwZI0aMAJzBDseMGUPfvn0BSE9P5/7772fBggV4eHgQExPDLbfckud427Zto1GjRlx55ZUAtG3blnfffReA0aNHM3nyZA4dOkRycnKx6n8s7RiLdyx290j4LfE3LBY/Lz/ah7dnSOQQutbtSquQVnh56OuviEhJU48FERERkYuctZbjx48TEBBARkYG7du354033uDvf/8748ePp1OnTkycOJGtW7cyduxYUlJS8PHxwcvLi8TERKKioti9ezdeXl48/fTTZGVl8dxzz5Gdnc3BgwepUaNGnuNt27aNG264gfj4+AJ1Wbp0KXXq1KFBgwZFBhZOZJzg54Sf3WMkLN+9nMzsTHw8fWgb1tY9RkLr0NZU8qpUKm0mInIxKrEeC8YYDyDAWnu0RGomIiIiIuXKGENAQAAAGRkZZGRkYIxh48aNdOzYEYDu3bvTs2dPxo4di7+/v3vb1NTUPOMSTJw4kQ0bNgDg4eFRIKhwOm3bti2wLD0rnWW7lrl7JPyc8DPpWel4Gk+uCr2KR9s9Ste6XWlXux3+3v6F7FVEREpTsQILxphPgJFAFrACqGaMedVa+3JpVk5EREREykZWVhatWrXijz/+4L777qNNmzZERkYyffp0brrpJqZOnUpCQoK7/K+//sqdd97J9u3bmTJlCl5eXhw+fBiAp556igULFlC/fn0mTJhArVq1Chxv69attGjRgqpVq/Lcc8/RoUMH97rM7EyybTYvLn6RedvmsXjHYlIyUjAYml/WnL+3/jtdIrrQoU4HqlaqWuptIyIip1asVAhjzCprbXNjzFCgFfA4sMJa26y0K3gmlAohIiIicm4OHz5M3759+fe//42XlxcPPPAABw4coE+fPrz55pscOHAgT/n169dz++23s3DhQpKTk6lZsyZffvklt9xyC6+++iorV65kypQpebZJS0sjOTmZSy+9lBUrVnDzzTfz2bzPWLZ/GfO3zeen7T9x9F9HYTQ0qdmELhFd6Fq3K50iOnGJ3yVl2RwiIpLLuaZCeBtjvIGbgQnW2gxjzIUzOIOIiIiIABAYGEjnzp357rvvGDVqFHPmzAFg06ZNzJo1q0D5Ro0aUblyZeLj42nVqhX+/v7ugRxvvfVWPvjggwLb+Pj4sM/u4/PlnzNv6zz2+Oyh/cvtIRQuv+RyBjUZxEdeH7HtH9u4LOCy0j1hERE5Z8UNLPwH2AasBhYaY+oAGmNBRERE5AKwb98+vL29CQwM5MSJE/z44488/vjjJCUlERQURHZ2Ns899xwjR44EnDSG2rVr4+Xlxfbt29m4cSMREREYY7jxxhtZsGABXbt2Ze7cuTRu3BhrLVsPb3WPkfDj2h9Jyk4CDwjOCMb7sDdvDHuDG6NupHa12gDEesQqqCAicp4oVmDBWvsm8GauRduNMV1Kp0oiIiIiUpYSExO5/fbbycrKIjs7mwEDBnDDDTfwxhtv8NZbbwHQr18/7rjjDgAWL17MCy+8gLe3Nx4eHrz99tvuQRpffPFF/vKXv3DfA/fhUdmDxvc0pu4bddn+63bYDbVurMUVyVfg+bUn1fyq4efjx38m/YcbO94IwGOPPcYnn3xCSkoKYWFh3H333YwZM6Zc2kVERIqnuGMs1AKeB0Kstb2MMY2Bq621Bfu2lSONsSAiIiJSPpKOJzF/63z3FJCbD24G4BK/S+gc0ZmuEV3pUrcLjWo0yjOLhIiInD/OdYyFScCHwGjX+03A50CFCiyIiIiISNk4dOIQP23/yZ3eEJ8UD0AVnyp0iujEyOiRdK3blWa1muFhPMq5tiIiUpqKG1ioYa39whjzfwDW2kxjTNaZHswYUxlYCDwNVAW6AJWAv7qKvA2kAwustbHGmCG5y1hrj5/pMUVERESk+GLXxjJ67mh2HNlBeLVwYrrFMLTpUI6lHWPRjkXM3zqfedvmsTJxJRaLn5cf7cPbM7TpULpEdKFVSCu8PIr7FVNERC4ExU2FWADcAvxgrW1pjGkLvGit7XRGBzPmWeA48Dtwu7X2VmPMDUB1V5HD1toZxpjPrbUDjTFTc5ex1k4pat+gVAgRERGRcxG7NpYRM0aQkpHiXubl4UVEtQi2Ht5Kls3Cx9OHq8Oudk8B2Tq0NZW8KpVjrUVEpKycayrEI8B0oL4xZglQE+h/hhW4FlgH+LoW5UQ0tgNNXb+vdf3MOkWZ/PsdAYwACA8PP5MqiYiIiAiQbbPZdGATD377YJ6gAkBmdiY7ju7g8Wsep0vdLrSr3Q5/b/9yqqmIiFRExZ0V4jdjTCfgSsAAG621GWd4rC5AZaAxcAJIcy0PB3a6fg8DVgH5E/Fyl8lft/eA98DpsXCGdRIRERG5qGTbbP44+Acrdq8gbncccYlx/Jb4G8npyUVuk5GVQUy3mDKspYiInE+KFVgwxngC1wMRrm16GGOw1r5a3ANZa0e79jUc2A9UNca8A/gB97mKTTDG9AZmuN7/r5AyIiIiImctNTWVjh07kpaWRmZmJv379+eZZ55h6tSpjBkzhvXr17Ns2TKio0/29Bw3bhwffPABnp6evPnmm/Ts2ROA6667jsTERDIzM+nQoQNvvfUWnp6eBY65Zs0a7r33Xo4ePYqHhwfLly8nIyODDh06uMvs3LmTYcOG8frrr5fYuVpr2XJoC3G741iRuML982jaUQAqeVai+WXNuT3qdqJDonly7pMkJicW2E94NfUKFRGRohU3FWIGkIqTqpB9Lge01k7K9faTfKvvyFf2k0LKiIiIiJy1SpUqMW/ePAICAsjIyKB9+/b06tWLyMhIvv76a+6999485detW8dnn33G77//zu7du7n22mvZtGkTnp6efPHFF1StWhVrLf3792fq1KkMGjQoz/aZmZkMGzaMKVOmEBUVxYEDB/D29sbX15dVq1a5y7Vq1Yp+/fqd9XlZa9l+ZLsTPNi9grhE5+eh1EMA+Hj6EFUriiGRQ4gOiSY6JJrGNRvj7ent3oe3p3eBMRb8vf3VW0FERE6puIGFMGtts1KtiYiIiEgZMMYQEBAAQEZGBhkZGRhjaNSoUaHlp02bxqBBg6hUqRJ169bl8ssvZ9myZVx99dVUrVoVcIIH6enpGGMKbD9nzhyaNWtGVFQUAJdeemmBMps3byYpKSlPD4ZTsday8+hOJ5XBlc6wYvcKDpw4ADgDLjar1Yz+jfu7gwiRQZH4ePqccr9Dmw4FKHRWCBERkaIUN7DwrTGmh7V2TqnWRkRERKQMZGVl0apVK/744w/uu+8+2rRpU2TZXbt20bZtW/f7sLAwdu3a5X7fs2dPli1bRq9evejfv+DY1ps2bcIYQ8+ePdm3bx+DBg3isccey1Pm008/ZeDAgYUGJgB2H9t9Mojgeu1L2QeAp/EkMiiSmxveTKvgVkSHRNO0VlN8vXwL3dfpDG06VIEEERE5I8UNLCwFvjHGeAAZOAM4Wmtt1VKrmYiIiEgp8fT0ZNWqVRw+fJi+ffsSHx9PZGRkoWULm5o7dwDg+++/JzU1laFDhzJv3jy6d++ep2xmZiaLFy9m+fLl+Pv7061bN1q1akW3bt3cZT777DOmTHFm1d6TvCfPwIpxu+PYk7wHAA/jQeOajel9RW+ig52eCM1qNcPP2++c20RERORsFTew8ApwNbDWFva/q4iIiMh5KDAwkM6dO/Pdd98VGVgICwsjISHB/X7nzp2EhITkKePr60ufPn2YNm1agcBCWFgYnTp1okaNGgBcf/31/Pbbb3Tr1o2k40lMnTuVpGNJjN08lrif4th1zOkNYTA0qtmI7vW6u9MZompFUdmnckk2gYiIyDkrbmBhMxCvoIKIiIic7/bt24e3tzeBgYGcOHGCH3/8kccff7zI8n369GHIkCE88sgj7N69m82bN9O6dWuSk5M5duwYwcHBZGZmMnv27ELHSOjZsycvvfQSCfsTiD8Qz0fTPiKoWxATXp/AjiM74AegPmzYv4HOEZ3d6QwtglsQ4BNQii0hIiJSMoobWEgEFhhjvgXSchaeyXSTIiIiIhVBYmIit99+O1lZWWRnZzNgwABuuOEGvvnmG/7+97+zb98+evfuTfPmzfn+++9p0qQJAwYMoHHjxnh5ebmnlDx+/Dh9+vQhLS2NrKwsunbtysiRIwH4ZOonfLvwWyIHRhKXGMfOJjsJb+yasrEBmDBDu5B2PND6AV754BWmz5xOdLPoU9RaRESk4jLF6YRgjHm6sOXW2mdKvEbnIDo62sbFxZV3NUREROQicjTtKL8l/pZnYMU/D/3pXl+vej13L4TokGhaBrck0Dew/CosIiJylowxK6y1BSLhxeqxUNECCCIiIiLl4VjaMVbuWekMrugaWHHTgU3u9XWq1aFVSCvuanGXO4hwqX/B6SVFREQuJKcMLBhjJlhr7zfGzAAKdG2w1vYptZqJiIiIlLLYtbGMnjuaHUd2EF4tnJhuMe6pFo+nH2fVnlXE7Y5jRaIzS8OG/Ruwrq9EYVXDiA6J5rZmt9EqpBWtgltRs3LN8jwdERGRcnHKVAhjzFFrbVVjTKfC1ltrfyq1mp0FpUKIiIhIccWujWXEjBGkZKS4l3l7eNM2tC2H0g6xbt86sm02AMEBwe5UhuiQaFoFt6JWQK3yqrqIiEi5ONtUiD+h4gUQRERERM7W/pT9rN6zmvtn358nqACQkZ3Bkp1LuO7y6+jXsJ8TRAhpRUiVkCL2JiIiIqcLLNQ0xjxS1ErNCiEiIlKxJSQkcNttt7Fnzx48PDwYMWIEDz74IE899RTTpk3Dw8ODoKAgJk2aREjIyZvnHTt20LhxY8aMGcOoUaMAGD16NJMnT+bQoUMkJycXerzY2Fhefvll9/s1a9bw22+/0bx5c/eyPn36sGXLFuLj40vnpF2ysrP44+AfrNqzitV7V7N672pW7VnF7mO7T7mdtZZZQ2aVat1EREQuJKdLhUgE3gFMYesr2qCOSoUQERHJKzExkcTERFq2bMmxY8do1aoV//vf/wgLC6Nq1aoAvPnmm6xbt453333Xvd0tt9yCh4cHbdq0cQcWli5dSp06dWjQoEGRgYXc1q5dy0033cSWLVvcy77++mu+/PJL1qxZU6KBhWNpx1ibtNYJIuxZzaq9q4hPinf3SPDy8KJRjUY0v6w5UbWiiLosijum3cHOozsL7KtOtTpse2hbidVNRETkQnG2qRCJ1tpnS6lOIiIiUsqCg4MJDg4GoEqVKjRq1Ihdu3bRuHFjd5njx49jzMlnCP/73/+oV68elStXzrOvtm3bntGxP/30UwYPHux+n5yczKuvvsp7773HgAEDzuZ0sNaScDTBHUDI6YWQe3rH6r7VibosihEtRxB1WRTNL2tOoxqNqORVKc++Xrj2hQJjLPh7+xPTLeas6iYiInKxOl1godCeCiIiInL+2bZtGytXrqRNmzbAydSGatWqMX/+fMAJMrz44ov88MMPjB8//pyO9/nnnzNt2jT3+6eeeop//OMf+Pv7F2v7tMw01u1b505lWLVnFWv2ruFQ6iF3mcsvuZwWwS0Y3nw4UbWcIEJY1bA8gZKi5Mz+UNSsECIiIlI8pwssdCuTWoiIiEipSk5O5pZbbuH11193p0DExMQQExPDuHHjmDBhAs888wxPP/00Dz/8MAEBAed0vF9//RV/f38iIyMBWLVqFX/88QevvfYa27ZtK1A+6XiSuwdCThBhw/4NZGZnAk5Pgma1mjGgyQB3AKFpraYE+JxbPYc2HapAgoiIyDk6ZWDBWnuwrCoiIiIipSMjI4NbbrmFoUOH0q9fvwLrhwwZQu/evXnmmWf49ddf+fLLL3nsscc4fPgwHh4e+Pr6cv/995/RMT/77LM8aRC//PILK1asICIigtT0VPbv2094VDhNHmvC6j2rSUxOdJcNrRJK88ua0+eKPs6YCJdFUb96fTw9PM++EURERKTUnK7HgoiIiJzHrLXcddddNGrUiEceOTnR0+bNm2nQoAEA06dPp2HDhgAsWrTIXWbMmDEEBASccVAhOzubqVOnMuuHWSzesdgZTDF0FWHPhBGfFM+JfSfgE9jTfw+XHLuE7vW7u3shRNWK4lL/S0vgzEVERKSsKLAgIiJyAVuyZAlTpkyhadOm7ikfn3/+eT744AM2btyIh4cHderUyTMjRFEee+wxPvnkE1JSUggLC+Puu+9mzJgxTJs2jblL5tLtzm6s3ruaH+b+wH6v/TT/orl720v9LiXqsihGRo8kNCuUd757h3VPrsPH06eUzlxERETKyimnmzzfaLpJERGR0pWamcrvSb87YyG4pnVcs3cNh1MPA2AwNLi0QZ4eCFGXRRFaJbRYAyqKiIhIxXW2002KiIicN+68805mzpxJUFAQ8fHxAAwcOJCNGzcCcPjwYQIDA1m1ahXp6ence++9xMXF4eHhwRtvvEHnzp0B6Ny5M4mJifj5+QEwZ84cgoKC8hzrhx9+4IknniA9PR0fHx9efvllunbtCsB1111HYmIimZmZdOjQgbfeegtPz/NvfIC9yXvzBBBW71nNhv0byLJZAFT2rkyzWs0Y1GSQeyyEpkFNqexT+TR7FhERkQuJAgsiInLBGD58OPfffz+33Xabe9nnn3/u/v0f//gH1apVA+D9998HYO3atSQlJdGrVy+WL1+Oh4cHALGxsURHFwjIu9WoUYMZM2YQEhJCfHw8PXv2ZNeuXQB88cUXVK1aFWst/fv3Z+rUqQwaNKjEz/dMxa6NLXRqxczsTDYd2OQEEFxTO67eu5o9yXvc29auWpuoy6Lo27AvUZdFEVUrivqX1MfDeJTjGYmIiEhFoMCCiIhcMDp27FjoVIbgDGL4xRdfMG/ePADWrVtHt27OrMpBQUEEBgYSFxdH69ati3WsFi1auH9v0qQJqamppKWlUalSJfd0jpmZmaSnp1eIFIDYtbGMmDGClIwUALYf2c7t39zOU/OeIjE5kdTMVAC8PbxpEtSE6y6/zkljcKUyXOJ3SXlWX0RERCowBRZEROSisGjRImrVquWeCSEqKopp06YxaNAgEhISWLFiBQkJCe7Awh133IGnpye33HIL//znP08ZHPjqq69o0aIFlSpVci/r2bMny5Yto1evXvTv3790Ty6XzOxMdh7dyZZDW/K8vtnwDelZ6XnKZtksEo8lcl/r+9wBhIY1GmpARRERETkjCiyIiMhF4dNPP2Xw4MHu93feeSfr168nOjqaOnXq0K5dO7y8nP8WY2NjCQ0N5dixY9xyyy1MmTIlT3pFbr///juPP/44c+bMybP8+++/JzU1laFDhzJv3jy6d+9eYudyOPVwgcBBzmv7ke1kZme6y3p5eBERGFEgqJAjLSuN8T3Gl1jdRERE5OKjwIKIiFzwMjMz+frrr1mxYoV7mZeXF6+99pr7fbt27dy9GUJDQwGoUqUKQ4YMYdmyZYUGFnbu3Enfvn2ZPHky9evXL7De19eXPn36MG3atDMKLGRkZZBwNKHI4MGh1EN5ytfwr0G96vW4KvQqBjYZSL3q9dyv0KqhTnDh9Qi2H9le4Fjh1cKLXS8RERGRwiiwICIiF7wff/yRhg0bEhYW5l6WkpKCtZbKlSvzww8/4OXlRePGjcnMzOTw4cPUqFGDjIwMZs6cybXXXltgn4cPH6Z3796MGzeOa665xr08OTmZY8eOERwcTGZmJrNnz6ZDhw55trXWcvDEwQIBg62Ht7Ll0BZ2HNnhnnkBnHEP6lavS73q9WgT2iZP4KBu9bpUrVT1tG0Q0y0mzxgLAP7e/sR0izmjthQRERHJr8wCC8aYm4HeQBDwFlAD6AJUAv7qKvY2kA4ssNbGGmOG5C5jrT1eVvUVEZHzz+DBg1mwYAH79+8nLCyMZ555hrvuuovPPvssTxoEQFJSEj179sTDw4PQ0FCmTJkCQFpaGj179iQjI4OsrCyuvfZa7rnnHgCmT59OXFwczz77LBMmTOCPP/5g7NixjB07FnCmpbTW0qdPH1LTUklNT6Vx68bQCh6d8yhbDp8MIhxNO5qnPkGVg6hXvR5X176aoU2H5gkehFQJwdPj3KarHNp0KEChs0KIiIiInAtjrS3bAxpTHRgPVLXW3mqMuQGo7lp92Fo7wxjzubV2oDFmau4y1topp9p3dHS0jYuLK+UzEBERcXod7E/ZXzBVwRU8SDiSgOXk/7GVPCu5ex3UC6xXoNdBgE9AOZ6NiIiIyOkZY1ZYawvMx10eqRD/xOmx8ITr/Xagqev3ta6fOf0/bSFl8jDGjABGAISHK09URERKTmpmKtsObys0XWHLoS0kpyfnKR8cEEy96vXoVKdTnsBBver1uCzgMjyMRzmdiYiIiEjpKctUCAO8AHxrrf0t17Rd4cBO1+9hwCog/zev3GXysNa+B7wHTo+Fkq21iMj54c4772TmzJkEBQURHx8PwKOPPsqMGTPw8fGhfv36fPjhhwQGBrJs2TJGjBgBOE/dx4wZQ9++fQEYPXo0kydP5tChQyQnJxd6rNjYWF5++WX3+zVr1vDbb7/RvHnz0j3JMxC7NrZYXf6ttew9vrfIQRJ3HduVp7yfl587UNAlokuewEFEYAT+3v5ldYoiIiIiFUaZpUIYYx4AbgeW4wQPjgIdAD/gPlexCUAqsDjXGAvuMqcbY0GpECJysVq4cCEBAQHcdttt7sDCnDlz6Nq1K15eXjz++OMAvPjii6SkpODj44OXlxeJiYlERUWxe/duvLy8WLp0KXXq1KFBgwZFBhZyW7t2LTfddBNbtmwp1fM7E7FrYwsMUujr5ct9V91HeLXwAsGDE5kn8mwfWiW0QG+DnFetyrXIFRgXERERuaiUeyqEtfZN4M18iz/J9/6OfNt8UkgZERHJp2PHjmzbti3Psh49erh/b9u2LV9++SUA/v4nn6qnpqbmuVFu27btGR33008/LTAoYlnLGevgz0N/8ufBP7lv9n15ggrgpDS88ssrAFT2rky96vW4/JLL6VG/R4FeB75evuVxGiIiIiLnLU03KSJyEZg4cSIDBw50v//111+588472b59O1OmTMHL6+z+O/j888+ZNm1aSVWzSFnZWSQcTeDPg3+6Awh/Hjr5+7H0Y6fdh8GwZ9QeavrXVK8DERERkRKkwIKIyAUuJiYGLy8vhg49OcZAmzZt+P3331m/fj233347vXr1wtf3zJ7U//rrr/j7+xMZGVki9TyRcYIth7YUGjjYdngbGdkZ7rLeHt7UrV6X+tXr0752e+pfUp/61etT/5L6XPfxdSQcTSiw//Bq4QRVDiqRuoqIiIjISQosiIhcwD766CNmzpzJ3LlzC31K36hRIypXrkx8fDzR0QXS5U7ps88+O6M0CGstB08cLDRw8OehP9l9bHee8lUrVaV+9fpEXRZFv0b93IGD+tXrE1Y1DE8Pz0KPM+7acQXGWPD39iemW8wZnZ+IiIiIFI8CCyJyXnvttdf473//izGGpk2b8uGHHxITE8O0adPw8PAgKCiISZMmERISwoEDB+jfvz/Lly9n+PDhTJgwodB9rlq1ipEjR5KamoqXlxdvv/02rVu3LuMzO3ffffcdL774Ij/99FOecRW2bt1K7dq18fLyYvv27WzcuJGIiIgz2nd2djZTp05l4cKFeZfbbHYe3VlkysKRtCN5ygcHBFP/kvp0r9c9T+Cg/iX1udTv0rNKWciZ/aE4s0KIiIiIyLkrs1khyoJmhRC5uOzatYv27duzbt06/Pz8GDBgANdffz39+vWjatWqALz55pusW7eOd999l+PHj7Ny5Uri4+OJj48vMrDQo0cPHn74YXr16sXs2bN56aWXWLBgQRme2ZkbPHgwCxYsYP/+/dSqVYtnnnmGcePGkZaWxqWXXgo4AzO+++67TJkyhRdeeAFvb288PDz417/+xc033wzAY489xieffMLu3bsJCQnh7rvvZsyYMUyfPp24uDieffZZUjNT+Xzm54wbM46/vvvXPIGDrYe3kp6V7q6Xl4cXEYERTrAgX+CgXvV6mp5RRERE5DxS7rNCiIiUhszMTE6cOIG3tzcpKSmEhIS4gwoAx48fdz/1rly5Mu3bt+ePP/445T6NMRw9ehSAI0eOEBISUnonUEI+/fTTAsvuuuuuQsv+5S9/4S9/+Uuh61566SVeeuklDqcedvc2GLdoHH/yJ3/W/5Pw18LZeXQnFgt94aHvH6Kyd2XqX1KfxjUbc+MVN+YJHoRXC8fLQ//ViIiIiFzI9G1PRM5boaGhjBo1ivDwcPz8/OjRo4d7isXRo0czefJkqlWrxvz5889ov6+//jo9e/Zk1KhRZGdn8/PPP5dG9UtM7NrYM+72n22zSTyWWOR4BwdPHMxTPqhyEPWr16dTRKcCvQ+CKgdplgURERGRi5gCCyJy3jp06BDTpk1j69atBAYGcuutt/Lxxx8zbNgwYmJiiImJYdy4cUyYMIFnnnmm2Pt95513eO2117jlllv44osvuOuuu/jxxx9L8UzOXuza2DwDFW4/sp0RM0YAcGvjW9l2eFuh4x1sObSF1MxU9348jSfh1cKpf0l9bm18a57AQb3q9ahSqUq5nJ+IiIiIVHwaY0FEzltTp07lu+++44MPPgBg8uTJLF26lLfffttdZvv27fTu3Zv4+Hj3skmTJhEXF1fkGAvVqlXj8OHDGGOw1lKtWjV3akRFYa3lcOphmrzdhMTkxALrPY0nFku2zXYv8/f2p171eoWOd1CnWh28Pb3L8hRERERE5DyjMRZEzmNZWVlER0cTGhrKzJkzWb16NSNHjiQ5OZmIiAhiY2Pd4wqsWbOGe++9l6NHj+Lh4cHy5cvx9fUtsM9///vfTJgwAS8vL3r37s1LL71EbGwsL7/8srvMmjVr+O2332jevHlZneoZCQ8PZ+nSpaSkpODn58fcuXOJjo5m8+bNNGjQAIDp06fTsGHDM9pvSEgIP/30E507d2bevHnufZWFrOws9qXsI/FYIonJie6fe5L3FHifu8dBgf3YLJ7q+FSeAMJlAZcpZUFERERESpx6LIicB1599VXi4uI4evQoM2fO5KqrrmL8+PF06tSJiRMnsnXrVsaOHUtmZiYtW7ZkypQpREVFceDAAQIDA/H09Myzv/nz5xMTE8OsWbOoVKkSSUlJBAUF5Smzdu1abrrpJrZs2VKWp3rGnn76aT7//HO8vLxo0aIF//3vfxkyZAgbN27Ew8ODOnXq8O677xIaGgpAREQER48eJT09ncDAQObMmUPjxo25++67GTlyJNHR0SxevJgHH3yQzMxMfH19efvtt2nVqtU51TMtM61AcMD9MydwcCyRvcf35ullkCPQN5DggGCCqwQ7P12/j1s0jv0n9hcoX6daHbY9tO2c6iwiIiIikltRPRYUWBCp4Hbu3Mntt9/O6NGjefXVV5k5cyZVq1blyJEjGGNISEigZ8+erFu3jtmzZ/PJJ5/w8ccfn3KfAwYMYMSIEVx77bVFlnnyyScxxhATE1PSp3TBsNZyLP1YnkCBO3iQL4BwKPVQge09jAdBlYPcQYLLKl92MnCQ6+dlAZfh61Ww1wkUHGMBnJSH925877QDOIqIiIiInAmlQoicpx566CFeeukljh075l4WGRnJ9OnTuemmm5g6dSoJCQkAbNq0CWMMPXv2ZN++fQwaNIjHHnuswD43bdrEokWLGD16NL6+vowfP56rrroqT5nPP/+cadOmle7JVVDZNpsDKQcK7V2Qv9dB7hv6HJU8K3FZgBMkuPLSK+lcp7M7UJCzPDggmJqVa57zVIw5wYMznRVCRERERKSkKLAgFUZCQgK33XYbe/bswcPDgxEjRvDggw8yZswY3n//fWrWrAnA888/z/XXX096ejr33nsvcXFxeHh48MYbb9C5c+cC+33qqaeYNm0aHh4eBAUFMWnSJEJCQjhw4AD9+/dn+fLlDB8+vMiB/MrTzJkzCQoKolWrVixYsMC9fOLEiTzwwAM8++yz9OnTBx8fHwAyMzNZvHgxy5cvx9/fn27dutGqVSu6deuWZ7+ZmZkcOnSIpUuXsnz5cgYMGMCWLVvc+fe//vor/v7+REZGltm5FtfZTK2YIyMrwx0YyEk9yJ+SkJOOkJmdWWD7qpWqunsRtA5t7QQJ8vUuCA4IJtA3sEzHMhjadKgCCSIiIiJSbhRYkArDy8uLV155hZYtW3Ls2DFatWpF9+7dAXj44YcZNWpUnvLvv/8+4IwFkJSURK9evVi+fDkeHh55yj366KOMHTsWgDfffJNnn32Wd999F19fX8aOHUt8fHyeGQMqkiVLljB9+nRmz55NamoqR48eZdiwYXz88cfMmTMHcHofzJo1C4CwsDA6depEjRo1ALj++uv57bffCgQWwsLC6NevH8YYWrdujYeHB/v373cHbz777DMGDx5chmdaPEVNrZiWmUbHOh1P27tgf0rBsQgMhpqVa7qDBJFBkXnGMMgdPPD39i/rUxYRERERqfAUWJAKIzg4mODgYACqVKlCo0aN2LVrV5Hl161b575hDgoKIjAwkLi4OFq3bp2nXM5sCQDHjx93P0muXLky7du3548//ijpUykx48aNY9y4cQAsWLCA8ePH8/HHH7sHW8zOzua5555j5MiRAPTs2ZOXXnqJlJQUfHx8+Omnn3j44YcL7Pfmm29m3rx5dO7cmU2bNpGenu4ORmRnZzN16lQWLlxYdieaT0ZWBgdOHGDf8X3sS9nn/vnPef8skHqQkpHCXdPvKrAPbw9vd9pBver1uKb2NQUCBcEBwQRVDtI0iyIiIiIi50CBhQpg48aNDBw40P1+y5YtPPvss3Tp0qXIKQVPt+1DDz0EFD6l4Plg27ZtrFy5kjZt2rBkyRImTJjA5MmTiY6O5pVXXqF69epERUUxbdo0Bg0aREJCAitWrCAhIaFAYAFg9OjRTJ48mWrVqjF//vxyOKOS9emnn/LWW28B0K9fP+644w4AqlevziOPPMJVV12FMYbrr7+e3r17A+SZ9eDOO+/kzjvvJDIyEh8fHz766CN3wGXhwoWEhYVRr169EqtvSkYK+1P2FwgU5FmWa/nh1MNnfIyPbv4oTy+DS/wuwcN4nH5DERERERE5J5oVooLJysoiNDSUX3/9lf79+xc6pWBxtq1Tp06xphSsiJKTk+nUqROjR4+mX79+7N27lxo1amCM4amnniIxMZGJEyeSmZnJo48+yvz586lTpw4ZGRnce++93HTTTUXue9y4caSmpvLMM8+4l02aNIm4uLgKOcZCRWSt5UjakUIDBfuO72P/iYLLCxvgEMDLw4ua/jWp4V+DmpVrUtPf9XL9nmd55Zpc9f5V7Diyo8B+NLWiiIiIiEjp06wQ54m5c+dSv3596tSpw8aNG+nYsSMA3bt3p2fPnqcMLOTeFuCdd97hiSeeoFKlSgDnRVAhIyODW265haFDh9KvXz8AatWq5V5/zz33cMMNNwDOmAyvvfaae127du1o0KDBKfc/ZMgQevfunSewcLHLys5ypx3sT9lfIFDg7lmQEzhI2U9Gdkah+/L39ncHAWr416BRjUZ5AgU5y3N+r1ap2hkNcvh8t+cLnVoxppumxBQRERERKS8KLFQwuQfNK2pKweJsC8WbUrAisdZy11130ahRIx555BH38sTERPfYC9988417poKUlBSstVSuXJkffvgBLy8vGjduXGC/mzdvdgccpk+fTsOGDcvgbErG2cyAkJaZlicIcLpAwcETB7EU3nMp0DfQHQSICIzgqpCrThkoKO3BDTW1ooiIiIhIxaNUiAokPT2dkJAQfv/9d2rVqsWGDRt44IEHOHDgAH369OHNN9/kwIEDxdoWnMBE165deeONN1i+fDkDBw7MM6VgRbN48WI6dOhA06ZN3TM7PP/883z66aesWrUKYwwRERH85z//ITg4mG3bttGzZ088PDwIDQ3lgw8+cPfWyD2ewC233MLGjRvx8PD4//buP8iusjzg+PdJQjY/9wYkteHHBgodlSKlNbVghzYUHNEKWCrqGDr8mJjS1qbi0DYzdKalNUPV/FG14UfKFDpqkYLt0FQYoGhQFIyoGCeM0lobRRwLFXeTTbIbkqd/nLPL3XvObrLX3eyP+/3M7OzJOe+95z1Pnknu+9z3PYeVK1dy6623cuKJJwJwyimn0NfXx+DgIMuWLeOhhx6qLU5MhdYnIAB0ze3iyl+8ktOPO71yX4KhpQm7B3fXvt+cmDOiCDC8PUqh4PhFx3tTQ0mSJEnDRlsKYWFhGrnvvvvYvHnz8GMEmz3zzDNcccUVbN++/Yhfe9FFF7FhwwZWr14NwGmnncYTTzwx/EhBTa7Bg4P07u+ld6CX3v299A30DW/3DpR/bt5uOfaDvh+MOpMAiiJD7cyBUQoFxy481psZSpIkSWqb91iYAe66664RSxlGe6TgkbwWxn6koEaXmfQf6G+rGNBcSBg4OHDYcy2ct5Durm4aCxo0uho0FjRYsXQFja4Gdzx1R+1rgqB3Qy9L5i+ZtrNPJEmSJHUOCwvTxN69e3n44Ye57bbbhveN9kjB5557jrVr13L//feP+lpgzEcKTkft3E+g1UuHXmL3wO6xiwFDg/+aYkDfQB99A30czINjnicIlnYtpdHVGC4MLF+0nNOPO53u+SMLBd1d3cPbze27u7qZP3f+qOf47Hc/y67eXZX9PY0elnYtHVdcJEmSJGmyuBRC08IndnyCdVvXse+lfcP7uuZ2ce2qazn7Z8+uX1JQs8Sg/0D/Yc81b868EQP9EYP/wxQDhraXdi2d9GUFdfdYWHTMIrZcvMWbFUqSJEk66lwKoZ/aoTzE3gN76R/sp/9AP3sG9wxvt/6uPTbGa5oLCkMGDg7wkS9/ZMS+Rccsqgz0T26cfMSzBBpdDRbMWzCtZ24M8QkIkiRJkmYCZyxMkYmY9l/nUB5i34F9xQD+SAf8zcfGeE3d4H8s8+bMY/Exi1k8fzFL5i8Z3m7+PbR/0+Obat8jCL6z/jt0d3XT3dXtUwokSZIkaYo4Y2EaaZ3ivqt3F2vvW8vOH+3knJPPGbsY0DLwby0GNE+bPxJzY24xuG8Z8C9bsIyTuk8q9rUUBMYsEjTtG+v+Aa3uefqeUe8ncOqxp47rmiRJkiRJR8+0LyxExGLgZmAQ2JaZn5ziLv3UbnjkhkoBYP/B/dz0xZtq28+NubUD+8aCBicsPaHy7X/rgH+sYsD8ufOnxbKAjRdsrL2fwMYLNk5hryRJkiRJhzPtCwvAZcC9mbk1Iu4GZnxh4Xu936vdHwTb37O9UgyYLoP/yeT9BCRJkiRpZpoJeBKDqwAACPFJREFUhYWTgG+W25VnAEbEOmAdQE9Pz1HsVvt6Gj2jTvtfdUJluUrHWPPaNRYSJEmSJGmGmdzn5U2MZymKC1DT38zckpmrMnPV8uXLj27P2rTxgo0sOmbRiH1O+5ckSZIkzUQzobDwL8DvRMQtwNap7sxEWPPaNWy5eAsrGysJgpWNlWy5eIvf1kuSJEmSZhwfNylJkiRJkg5rtMdNzoQZC5IkSZIkaZqysCBJkiRJktpmYUGSJEmSJLVtVt1jISKeB6rPcZzejgdemOpOTDPGpMqYVBmTKmNSZUzqGZcqY1JlTKqMSZUxqTIm9YxL1UyMycrMrDyOcVYVFmaiiHiy7uYXncyYVBmTKmNSZUyqjEk941JlTKqMSZUxqTImVcaknnGpmk0xcSmEJEmSJElqm4UFSZIkSZLUNgsLU2/LVHdgGjImVcakyphUGZMqY1LPuFQZkypjUmVMqoxJlTGpZ1yqZk1MvMeCJEmSJElqmzMWJEmSJElS2+ZNdQdms4hYDfw1sBP4FHACcD7QBfx+2exmYBDYlpmfjIh3N7fJzP6j3O1JERE/B9wANDLz7a3XWTYbMxZ1bY7mNUyGmrg8QPHI1D2ZeX1ELKaD4hIRbwN+C/gZYDPFI3jMk2pcrqOD8wQgIl4D/DFFjjwC9NLhuVITk0vo8DwBKK/788BfAN10eJ5AJSZ/SIfnyUR8Xqtrc7T6P1lq4vJnmCtzKGLSDTwJHKDDc6UmJu/CPDkPWEMx1j4D+Ds6IE9cCjGJIuI3gA3Aj4APADdl5uUR8Vbg2LLZTzJza0TcnZnvjIh7mttk5senqPuTIiLuLQfQ94w3FnVtpuYqJl5TXD4N/B/wn5n54Yj4XTowLhFxLLAJ6DZPXtYUl2WYJ8DwB5q/x1wZ1hSTZZgnRMRfAf0Ug6MrzZNKTK6mw/NkIj6v1bU5+lcysWri8kHMld8GLgV+DHwGuLbTc6UmJn9Ah+fJkPKLoVcCF3ZCnrgUYnJ9ITPfTFHhvREYquLsAk4qf75f7jtY/m5tM1u1E4u6NrPN5Zm5DlgREWfRuXH5c4pv5s2TkYbiYp4AEXEJ8BjFt/PmCpWYdHyeRMSFwNMUAyMwT+pi0vF5wsR8XpttMYFqXMwVeBXweGa+n+JbZXOlGhPz5GXvBu6iQ/LEwsIkysxD5eaLFNNahvQAz5Y/Q8WD1r+LoTaz3XhiMVabWaEpZ/4XWEKHxSUKHwQeyMyvNR3q6DxpjUun58mQzPy3zHwDxXTDIR2dK80xMU+AYlrpORQf7t7TtL+T82S0mHRsnkzQ57VZFROoxsV/U4Diel4st5sHe52cKyNiYp4UIqIH6M3MvqbdszpPXAoxiSLiMuBNFNNRb6FYs3cesJBiTSMUa272A481ra8ZbpOz5x4LrwA2Am8Ebqeoxo0rFnVtjt4VTI6auLwa2EuxJuv3KK69Y+ISEeuBK4GvAE8BfZgndXE5lw7OExhe+3sZxSBgB8WHmo7OlZqYvJ4Oz5MhEXEV8ALFGuCOzpMhTTG5nA7Pk4n4vFbX5qhdwCSpicvVmCuLgI9RxOFb+H9PXUz8vweIiBuBBzPzS0dyvbMhJhYWJEmSJElS22bEtApJkiRJkjQ9WViQJEmSJElts7AgSZIkSZLaZmFBkiRJkiS1zcKCJEkzXETcEBE7I2JHRDwVEb9a7r89Is6YpHMuj4gvR8TXI+K8lmPvK+8UPvTnPRN43m0RseowbUacf4LOuzoi3jCR7ylJ0mxhYUGSpBksIs4F3gr8cmaeBVwIfB8gM9dm5tOTdOoLgG9l5i9l5hdajr0PmNCB/ThNxvlXAxYWJEmqYWFBkqSZbQXwQmYOAGTmC5n5HLz87X5EXFLOZHgqIr4dEd8tj78uIh6NiK9GxIMRsaL1zSNiZUQ8Us6GeCQieiLibOBDwFvK91zY1H49cALwuYj4XNP+jRHxjYh4IiJeWe5bHhGfjoivlD+/VnP+hRHxqfL8d1M843vo2C0R8WQ5W+PG0c5f167c/zcR8XT53ptG61NEnAJcC1xXXu+IGRqSJHW6yMyp7oMkSWpTRCwBHqP4hv4/gLsz89Hy2Dbg+sx8sqn9PwOPAlvK35dm5vMR8U7gTZl5Tcv7bwXuzcx/jIhrgEsy820RcRWwKjPfW9On/ymPvVD+OcvXbY2IDwF9mfmBiPgn4ObMfCwieoAHM/M1Le/1fuDMzLwmIs4Cvgack5lPRsRxmfnjiJgLPAKsz8wdNeevtAOeBR4HXp2ZGRHLMvMno/UpIv4S2JOZm8b5VyRJ0qw3b6o7IEmS2peZeyLidcB5wPnA3RGxITPvbG0bEX8K7MvMzRFxJnAm8HBEAMwFflhzinOBy8rtj1PMVBivQeDfy+2vAm8sty8EzijPD9AdEUszc3fTa38d+Gh5rTsiYkfTsXdExDqKzzMrgDOA5uNjtXsa2A/cHhGfaepfbZ/Gf8mSJHUOCwuSJM1wmXkQ2AZsi4hvAlcCdza3iYgLgMspBuoAAezMzHPHe7o2unggX54ieZCXP3/MAc7NzH3jPWdEnApcD/xKZr4YEXcCC460XWa+FBGvp7hXxLuA9wK/OVqfmgoNkiSphfdYkCRpBouIV0XEzzftOhvY1dJmJXAz8I6mAfO3geXlzR+JiGMi4hdqTvElioE3wBqKZReHsxs4km/5H6IY0A/18+yaNp8vz0s5y+Kscn830A/0lvdsePMo569tVy4haWTm/RQ3exw692h9OtJrkiSp4zhjQZKkmW0J8LGIWAa8BPwXsK6lzVXAK4B/Lb95fy4z3xIRbwc+GhENis8EfwvsbHnteuAfIuJPgOeBq4+gT1uAByLih5l5/hjt1gOby+UN8yiKCNe2tLkFuKNs8xSwHSAzvxERXy/7+9/AF0c7/yjtlgL3RcQCitkb1x2mT1uBeyPiUuCPap6EIUlSx/LmjZIkSZIkqW0uhZAkSZIkSW2zsCBJkiRJktpmYUGSJEmSJLXNwoIkSZIkSWqbhQVJkiRJktQ2CwuSJEmSJKltFhYkSZIkSVLbLCxIkiRJkqS2/T96D1koGzxKeAAAAABJRU5ErkJggg==\n", 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" ] @@ -558,17 +500,17 @@ ], "source": [ "##### x coordinates\n", - "x = np.arange(5000,70000,5000)\n", + "x = np.arange(5000,75000,5000)\n", "\n", - "training_times = [i*1000 for i in training_times]\n", - "prediction_times = [i*1000 for i in prediction_times]\n", + "training_times_ms = [round(i*1000,2) for i in training_times]\n", + "prediction_times_ms = [round(i*1000,2) for i in prediction_times]\n", "\n", "### Create plot\n", "fig, figs = plt.subplots(nrows=3, ncols=1, figsize=(15,10))\n", "fig.tight_layout(pad=3.0)\n", "figs[0].plot(x,scores, marker='o', color='r')\n", - "figs[1].plot(x,training_times, marker='o', color='b')\n", - "figs[2].plot(x,prediction_times, marker='o', color='g')\n", + "figs[1].plot(x,training_times_ms, marker='o', color='b')\n", + "figs[2].plot(x,prediction_times_ms, marker='o', color='g')\n", "### Add every x coordinates\n", "figs[0].tick_params(axis='both', which='both', labelsize=7, labelbottom=True)\n", "figs[1].tick_params(axis='both', which='both', labelsize=7, labelbottom=True)\n", @@ -580,13 +522,13 @@ " textcoords=\"offset points\", # how to position the text\n", " xytext=(15,5), # distance from text to points (x,y)\n", " ha='center') # horizontal alignment can be left, right or center\n", - " figs[1].annotate(training_times[i], # this is the text\n", - " (x[i],training_times[i]), # these are the coordinates to position the label\n", + " figs[1].annotate(training_times_ms[i], # this is the text\n", + " (x[i],training_times_ms[i]), # these are the coordinates to position the label\n", " textcoords=\"offset points\", # how to position the text\n", " xytext=(15,5), # distance from text to points (x,y)\n", " ha='center') # horizontal alignment can be left, right or center\n", - " figs[2].annotate(prediction_times[i], # this is the text\n", - " (x[i],prediction_times[i]), # these are the coordinates to position the label\n", + " figs[2].annotate(prediction_times_ms[i], # this is the text\n", + " (x[i],prediction_times_ms[i]), # these are the coordinates to position the label\n", " textcoords=\"offset points\", # how to position the text\n", " xytext=(15,5), # distance from text to points (x,y)\n", " ha='center') # horizontal alignment can be left, right or center\n", @@ -597,31 +539,38 @@ " \n", "### Add title and axis names\n", "figs[0].title.set_text('Scores for various size of the dataset (k=3,train_size=0.9)')\n", - "figs[1].title.set_text('Training times for various size of the dataset')\n", - "figs[2].title.set_text('Prediction times for various size of the dataset')\n", + "figs[1].title.set_text('Training times for various size of the dataset (k=3,train_size=0.9)')\n", + "figs[2].title.set_text('Prediction times for various size of the dataset (k=3,train_size=0.9)')\n", "figs[0].set_xlabel('Size of the dataset')\n", "figs[1].set_xlabel('Size of the dataset')\n", "figs[2].set_xlabel('Size of the dataset')\n", "figs[0].set_ylabel('Score')\n", "figs[1].set_ylabel('Times (in ms)')\n", - "figs[2].set_ylabel('Times(in ms)')" + "figs[2].set_ylabel('Times (in ms)')" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 35, "id": "b766a47e", "metadata": { - "scrolled": true + "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Computing for d = manhattan\n", + "Computing for d = manhattan ...\n", "Fitting...\n", - "Predicting...\n" + "Predicting...\n", + "Computing for d = euclidean ...\n", + "Fitting...\n", + "Predicting...\n", + "Computing for d = minkowski ...\n", + "Fitting...\n", + "Predicting...\n", + "Done\n" ] } ], @@ -629,7 +578,7 @@ "####### Variation des types de distances utilisées #######\n", "\n", "### Create vector of 5000 random indexes\n", - "rand_indexes = np.random.randint(70000, size=50000)\n", + "rand_indexes = np.random.randint(70000, size=25000)\n", "### Load data with the previous vector\n", "data = mnist.data[rand_indexes]\n", "# print(\"Dataset : \", data)\n", @@ -645,32 +594,33 @@ "names_distances = [\"manhattan\",\"euclidean\",\"minkowski\"]\n", "\n", "for i in distances:\n", - " print(\"Computing for d =\", names_distances[i-1])\n", + " print(\"Computing for d =\", names_distances[i-1],\"...\")\n", " # Split the dataset\n", " xtrain, xtest, ytrain, ytest = model_selection.train_test_split(data, target,train_size=0.9)\n", " \n", " # Training on xtrain,ytrain\n", - " t1 = round(time.time(),3)\n", + " t1 = round(time.time(),5)\n", " clf = neighbors.KNeighborsClassifier(n_neighbors=3,p=i)\n", " print(\"Fitting...\")\n", " clf.fit(xtrain, ytrain)\n", - " t2 = round(time.time(),3)\n", + " t2 = round(time.time(),5)\n", " \n", " # Predicting on xtest\n", " print(\"Predicting...\")\n", " pred = clf.predict(xtest)\n", - " t3 = round(time.time(),3)\n", - " training_times.append(round(t2-t1,3))\n", - " prediction_times.append(round(t3-t2,3))\n", + " t3 = round(time.time(),5)\n", + " training_times.append(round(t2-t1,5))\n", + " prediction_times.append(round(t3-t2,5))\n", " # Probabilités des prédictions sur xtest\n", " pred_proba = clf.predict_proba(xtest)\n", " # On calcule le score obtenu sur xtest avec les étiquettes ytest\n", - " scores.append(round(clf.score(xtest, ytest),3))" + " scores.append(round(clf.score(xtest, ytest),3))\n", + "print(\"Done\")" ] }, { "cell_type": "code", - "execution_count": 101, + "execution_count": 40, "id": "8f4fd158", "metadata": {}, "outputs": [ @@ -679,29 +629,25 @@ "output_type": "stream", "text": [ "names_distances : ['manhattan', 'euclidean', 'minkowski']\n", - "training_times : [78.0, 92.0]\n", - "prediction_times : [219800.0, 5061.0]\n" - ] - }, - { - "ename": "ValueError", - "evalue": "x and y must have same first dimension, but have shapes (3,) and (2,)", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in 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\u001b[1;33m!=\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 399\u001b[1;33m raise ValueError(f\"x and y must have same first dimension, but \"\n\u001b[0m\u001b[0;32m 400\u001b[0m f\"have shapes {x.shape} and {y.shape}\")\n\u001b[0;32m 401\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m2\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m2\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mValueError\u001b[0m: x and y must have same first dimension, but have shapes (3,) and (2,)" + "training_times_ms : [62.87, 46.87, 49.9]\n", + "prediction_times_ms : [55381.76, 1318.48, 667718.1]\n" ] }, { "data": { - "image/png": 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\n", "text/plain": [ - "
" + "Text(63.0, 0.5, 'Times (in ms)')" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" ] }, "metadata": { @@ -714,17 +660,17 @@ "##### x coordinates\n", "x = names_distances\n", "print(\"names_distances : \", names_distances)\n", - "training_times = [i*1000 for i in training_times]\n", - "print(\"training_times : \", training_times)\n", - "prediction_times = [i*1000 for i in prediction_times]\n", - "print(\"prediction_times : \", prediction_times)\n", + "training_times_ms = [round(i*1000,2) for i in training_times]\n", + "print(\"training_times_ms : \", training_times_ms)\n", + "prediction_times_ms = [round(i*1000,2) for i in prediction_times]\n", + "print(\"prediction_times_ms : \", prediction_times_ms)\n", "\n", "### Create plot\n", - "fig, figs = plt.subplots(nrows=3, ncols=1, figsize=(15,10))\n", + "fig, figs = plt.subplots(nrows=3, ncols=1, figsize=(10,10))\n", "fig.tight_layout(pad=3.0)\n", "figs[0].plot(x,scores, marker='o', color='r')\n", - "figs[1].plot(x,training_times, marker='o', color='b')\n", - "figs[2].plot(x,prediction_times, marker='o', color='g')\n", + "figs[1].plot(x,training_times_ms, marker='o', color='b')\n", + "figs[2].plot(x,prediction_times_ms, marker='o', color='g')\n", "### Add every x coordinates\n", "figs[0].tick_params(axis='both', which='both', labelsize=7, labelbottom=True)\n", "figs[1].tick_params(axis='both', which='both', labelsize=7, labelbottom=True)\n", @@ -736,13 +682,13 @@ " textcoords=\"offset points\", # how to position the text\n", " xytext=(15,5), # distance from text to points (x,y)\n", " ha='center') # horizontal alignment can be left, right or center\n", - " figs[1].annotate(training_times[i], # this is the text\n", - " (x[i],training_times[i]), # these are the coordinates to position the label\n", + " figs[1].annotate(training_times_ms[i], # this is the text\n", + " (x[i],training_times_ms[i]), # these are the coordinates to position the label\n", " textcoords=\"offset points\", # how to position the text\n", " xytext=(15,5), # distance from text to points (x,y)\n", " ha='center') # horizontal alignment can be left, right or center\n", - " figs[2].annotate(prediction_times[i], # this is the text\n", - " (x[i],prediction_times[i]), # these are the coordinates to position the label\n", + " figs[2].annotate(prediction_times_ms[i], # this is the text\n", + " (x[i],prediction_times_ms[i]), # these are the coordinates to position the label\n", " textcoords=\"offset points\", # how to position the text\n", " xytext=(15,5), # distance from text to points (x,y)\n", " ha='center') # horizontal alignment can be left, right or center\n", @@ -752,32 +698,168 @@ "figs[2].set_xticks(x)\n", " \n", "### Add title and axis names\n", - "figs[0].title.set_text('Scores for various distance type (k=3,train_size=0.9,dataset_size=50000)')\n", - "figs[1].title.set_text('Training times for various distance type (k=3,train_size=0.9,dataset_size=50000)')\n", - "figs[2].title.set_text('Prediction times for various distance type (k=3,train_size=0.9,dataset_size=50000)')\n", + "figs[0].title.set_text('Scores for various distance type (k=3,train_size=0.9,dataset_size=25000)')\n", + "figs[1].title.set_text('Training times for various distance type (k=3,train_size=0.9,dataset_size=25000)')\n", + "figs[2].title.set_text('Prediction times for various distance type (k=3,train_size=0.9,dataset_size=25000)')\n", "figs[0].set_xlabel('Distance type')\n", "figs[1].set_xlabel('Distance type')\n", "figs[2].set_xlabel('Distance type')\n", "figs[0].set_ylabel('Score')\n", "figs[1].set_ylabel('Times (in ms)')\n", - "figs[2].set_ylabel('Times(in ms)')" + "figs[2].set_ylabel('Times (in ms)')" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "24b641ef", "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Computing for n_jobs = -1 ...\n", + "Fitting...\n", + "Predicting...\n", + "Computing for n_jobs = 1 ...\n", + "Fitting...\n", + "Predicting...\n", + "Done\n" + ] + } + ], + "source": [ + "####### Variation de n_jobs #######\n", + "\n", + "### Create vector of 5000 random indexes\n", + "rand_indexes = np.random.randint(70000, size=25000)\n", + "### Load data with the previous vector\n", + "data = mnist.data[rand_indexes]\n", + "# print(\"Dataset : \", data)\n", + "target = mnist.target[rand_indexes]\n", + "# print(\"Etiquettes : \", target)\n", + "\n", + "scores = []\n", + "training_times = []\n", + "prediction_times = []\n", + "\n", + "### Train the algorithm with various distance types\n", + "nb_jobs = [-1,1]\n", + "\n", + "for i in nb_jobs:\n", + " print(\"Computing for n_jobs =\", i,\"...\")\n", + " # Split the dataset\n", + " xtrain, xtest, ytrain, ytest = model_selection.train_test_split(data, target,train_size=0.9)\n", + " \n", + " # Training on xtrain,ytrain\n", + " t1 = round(time.time(),5)\n", + " clf = neighbors.KNeighborsClassifier(n_neighbors=3,p=2,n_jobs=i)\n", + " print(\"Fitting...\")\n", + " clf.fit(xtrain, ytrain)\n", + " t2 = round(time.time(),5)\n", + " \n", + " # Predicting on xtest\n", + " print(\"Predicting...\")\n", + " pred = clf.predict(xtest)\n", + " t3 = round(time.time(),5)\n", + " training_times.append(round(t2-t1,5))\n", + " prediction_times.append(round(t3-t2,5))\n", + " # Probabilités des prédictions sur xtest\n", + " pred_proba = clf.predict_proba(xtest)\n", + " # On calcule le score obtenu sur xtest avec les étiquettes ytest\n", + " scores.append(round(clf.score(xtest, ytest),3))\n", + "print(\"Done\")" + ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "343e5d14", "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "training_times_ms : [39.89, 48.87]\n", + "prediction_times_ms : [1778.06, 1312.49]\n" + ] + }, + { + "data": { + "text/plain": [ + "Text(36.0, 0.5, 'Times (in ms)')" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "##### x coordinates\n", + "x = nb_jobs\n", + "training_times_ms = [round(i*1000,2) for i in training_times]\n", + "print(\"training_times_ms : \", training_times_ms)\n", + "prediction_times_ms = [round(i*1000,2) for i in prediction_times]\n", + "print(\"prediction_times_ms : \", prediction_times_ms)\n", + "\n", + "### Create plot\n", + "fig, figs = plt.subplots(nrows=3, ncols=1, figsize=(7,10))\n", + "fig.tight_layout(pad=3.0)\n", + "figs[0].bar(x,scores, color='r')\n", + "figs[1].bar(x,training_times_ms, color='b')\n", + "figs[2].bar(x,prediction_times_ms, color='g')\n", + "### Add every x coordinates\n", + "figs[0].tick_params(axis='both', which='both', labelsize=7, labelbottom=True)\n", + "figs[1].tick_params(axis='both', which='both', labelsize=7, labelbottom=True)\n", + "figs[2].tick_params(axis='both', which='both', labelsize=7, labelbottom=True)\n", + "\n", + "for i in range(len(x)):\n", + " figs[0].annotate(scores[i], # this is the text\n", + " (x[i],scores[i]), # these are the coordinates to position the label\n", + " textcoords=\"offset points\", # how to position the text\n", + " xytext=(15,5), # distance from text to points (x,y)\n", + " ha='center') # horizontal alignment can be left, right or center\n", + " figs[1].annotate(training_times_ms[i], # this is the text\n", + " (x[i],training_times_ms[i]), # these are the coordinates to position the label\n", + " textcoords=\"offset points\", # how to position the text\n", + " xytext=(15,5), # distance from text to points (x,y)\n", + " ha='center') # horizontal alignment can be left, right or center\n", + " figs[2].annotate(prediction_times_ms[i], # this is the text\n", + " (x[i],prediction_times_ms[i]), # these are the coordinates to position the label\n", + " textcoords=\"offset points\", # how to position the text\n", + " xytext=(15,5), # distance from text to points (x,y)\n", + " ha='center') # horizontal alignment can be left, right or center\n", + "\n", + "figs[0].set_xticks(x)\n", + "figs[1].set_xticks(x)\n", + "figs[2].set_xticks(x)\n", + " \n", + "### Add title and axis names\n", + "figs[0].title.set_text('Scores for various n_jobs (k=3,train_size=0.9,dataset_size=25000,distance=euclidean)')\n", + "figs[1].title.set_text('Training times for various n_jobs (k=3,train_size=0.9,dataset_size=25000,distance=euclidean)')\n", + "figs[2].title.set_text('Prediction times for various n_jobs (k=3,train_size=0.9,dataset_size=25000,distance=euclidean)')\n", + "figs[0].set_xlabel('n_jobs')\n", + "figs[1].set_xlabel('n_jobs')\n", + "figs[2].set_xlabel('n_jobs')\n", + "figs[0].set_ylabel('Score')\n", + "figs[1].set_ylabel('Times (in ms)')\n", + "figs[2].set_ylabel('Times (in ms)')" + ] }, { "cell_type": "code", diff --git a/TP2_prog1.py.ipynb b/TP2_prog1.py.ipynb index 3fd8ceb..16b9239 100644 --- a/TP2_prog1.py.ipynb +++ b/TP2_prog1.py.ipynb @@ -1143,7 +1143,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.8.8" } }, "nbformat": 4,