diff --git a/共享民宿平台担保交易房子评分的影响研究/homeworks/房价分析.ipynb b/共享民宿平台担保交易房子评分的影响研究/homeworks/房价分析.ipynb new file mode 100644 index 0000000..f6dfe88 --- /dev/null +++ b/共享民宿平台担保交易房子评分的影响研究/homeworks/房价分析.ipynb @@ -0,0 +1,883 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 65, + "metadata": { + "collapsed": true, + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.colors import ListedColormap\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "from sklearn.svm import SVC,SVR\n", + "from sklearn.datasets import load_iris\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.preprocessing import StandardScaler, MinMaxScaler\n", + "from sklearn.metrics import confusion_matrix, accuracy_score, classification_report, mean_squared_error, r2_score\n", + "from sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressor,plot_tree\n", + "from sklearn.neighbors import KNeighborsClassifier\n", + "# 设置中文字体\n", + "plt.rcParams['font.sans-serif'] = ['SimHei']\n", + "plt.rcParams['axes.unicode_minus'] = False\n" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "outputs": [], + "source": [ + "iris = load_iris()\n", + "X = iris.data\n", + "y = iris.target" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 7, + "outputs": [], + "source": [ + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3)" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 11, + "outputs": [], + "source": [ + "scaler = StandardScaler()\n", + "scaler.fit(X_train)\n", + "X_train_std = scaler.transform(X_train)\n", + "X_test_std = scaler.transform(X_test)" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 16, + "outputs": [], + "source": [ + "def plot_decision_regions(X, y, classifier, test_idx=None, resolution=0.02):\n", + "\n", + " # setup marker generator and color map\n", + " markers = ('s', 'x', 'o', '^', 'v')\n", + " colors = ('red', 'blue', 'lightgreen', 'gray', 'cyan')\n", + " cmap = ListedColormap(colors[:len(np.unique(y))])\n", + "\n", + " # plot the decision surface\n", + " x1_min, x1_max = X[:, 0].min() - 1, X[:, 0].max() + 1\n", + " x2_min, x2_max = X[:, 1].min() - 1, X[:, 1].max() + 1\n", + " xx1, xx2 = np.meshgrid(np.arange(x1_min, x1_max, resolution),\n", + " np.arange(x2_min, x2_max, resolution))\n", + " Z = classifier.predict(np.array([xx1.ravel(), xx2.ravel()]).T)\n", + " Z = Z.reshape(xx1.shape)\n", + " plt.contourf(xx1, xx2, Z, alpha=0.3, cmap=cmap)\n", + " plt.xlim(xx1.min(), xx1.max())\n", + " plt.ylim(xx2.min(), xx2.max())\n", + "\n", + " for idx, cl in enumerate(np.unique(y)):\n", + " plt.scatter(x=X[y == cl, 0],\n", + " y=X[y == cl, 1],\n", + " alpha=0.8,\n", + " c=colors[idx],\n", + " marker=markers[idx],\n", + " label=cl,\n", + " edgecolor='black')\n", + "\n", + " # highlight test samples\n", + " if test_idx:\n", + " # plot all samples\n", + " X_test, y_test = X[test_idx, :], y[test_idx]\n", + " plt.scatter(X_test[:, 0],\n", + " X_test[:, 1],\n", + " c='',\n", + " edgecolor='black',\n", + " alpha=1.0,\n", + " linewidth=1,\n", + " marker='o',\n", + " s=100,\n", + " label='test set')\n" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 23, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "E:\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:40: MatplotlibDeprecationWarning: Using a string of single character colors as a color sequence is deprecated since 3.2 and will be removed two minor releases later. Use an explicit list instead.\n" + ] + }, + { + "data": { + "text/plain": "
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\n" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# X只选取第3,4列特征\n", + "X_train_std = X_train_std[:, 2:]\n", + "X_test_std = X_test_std[:, 2:]\n", + "\n", + "X_combined_std = np.vstack((X_train_std, X_test_std))\n", + "y_combined = np.hstack((y_train, y_test))\n", + "svm = SVC(kernel='linear', C=1.0, random_state=1)\n", + "svm.fit(X_train_std, y_train)\n", + "plot_decision_regions(X=X_combined_std, y=y_combined,\n", + " classifier=svm, test_idx=range(105, 150))\n", + "plt.xlabel('petal length [standardized]')\n", + "plt.ylabel('petal width [standardized]')\n", + "plt.legend(loc='upper left')\n", + "plt.tight_layout()\n", + "#plt.savefig('images/03_01.png', dpi=300)\n", + "plt.show()\n" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 24, + "outputs": [ + { + "data": { + "text/plain": "
", + "image/png": 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\n" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "np.random.seed(1)\n", + "X_xor = np.random.randn(200, 2)\n", + "y_xor = np.logical_xor(X_xor[:, 0] > 0,\n", + " X_xor[:, 1] > 0)\n", + "y_xor = np.where(y_xor, 1, -1)\n", + "plt.scatter(X_xor[y_xor == 1, 0],\n", + " X_xor[y_xor == 1, 1],\n", + " c='b',\n", + " marker='x',\n", + " label='1')\n", + "plt.scatter(X_xor[y_xor == -1, 0],\n", + " X_xor[y_xor == -1, 1],\n", + " c='r',\n", + " marker='s',\n", + " label='-1')\n", + "plt.xlim([-3, 3])\n", + "plt.ylim([-3, 3])\n", + "plt.legend(loc='best')\n", + "plt.tight_layout()\n", + "plt.show()\n" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 32, + "outputs": [ + { + "data": { + "text/plain": "" + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "text/plain": "
", + "image/png": 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\n" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "svm = SVC(kernel='rbf', random_state=1, gamma=0.20, C=1.0)\n", + "svm.fit(X_xor, y_xor)\n", + "plot_decision_regions(X_xor, y_xor,classifier=svm)\n", + "plt.legend(loc='upper left')" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "markdown", + "source": [ + "## SVR回归\n", + "对于回归问题,SVR的主要思想是找到一个函数,它在给定的容忍度ε内尽可能地适应训练数据,同时保持函数的平滑性。也就是说,SVR试图找到一个满足大部分数据点(在ε容忍度内)的函数,但仍然让函数尽可能的平滑。SVR通过使用类似于SVM的损失函数实现这个目标,该损失函数在ε范围内为零,超出这个范围则与超出的程度成正比。\n", + "\n", + "SVR试图找到一个函数f(x),它满足对于每个训练样本(xi, yi),|f(xi) - yi| ≤ ε,并且f(x)的复杂度最小。SVR的目标是使模型尽可能地平坦,同时限制模型复杂度,从而使模型的泛化能力更强。\n" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%% md\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 37, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MSE: 39.03\n" + ] + } + ], + "source": [ + "## 导入波士顿房价数据集\n", + "from sklearn.datasets import load_boston\n", + "boston = load_boston()\n", + "X = boston.data\n", + "y = boston.target\n", + "\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,random_state=0)\n", + "scaler = StandardScaler()\n", + "scaler.fit(X_train)\n", + "X_train_std = scaler.transform(X_train)\n", + "X_test_std = scaler.transform(X_test)\n", + "\n", + "svr = SVR(kernel='linear', C=1.0, epsilon=0.2)\n", + "svr.fit(X_train_std, y_train)\n", + "y_test_pred = svr.predict(X_test_std)\n", + "mse = mean_squared_error(y_test, y_test_pred)\n", + "print('MSE: %.2f' % mse)" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 40, + "outputs": [ + { + "data": { + "text/plain": "
", + "image/png": 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\n" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10, 6))\n", + "plt.scatter(y_test, y_test_pred, color='blue')\n", + "plt.plot([y_test.min(), y_test.max()], [y_test.min(), y_test.max()], 'k--', lw=3)\n", + "plt.xlabel('True Values')\n", + "plt.ylabel('Predicted Values')\n", + "plt.title('SVR Predicted vs Actual Values')\n", + "plt.show()\n" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 41, + "outputs": [ + { + "data": { + "text/plain": "
", + "image/png": 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\n" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "# 生成一个表示数据点顺序的数组\n", + "x = np.arange(len(y_test))\n", + "\n", + "# 绘制真实值和预测值\n", + "plt.figure(figsize=(10, 6))\n", + "plt.plot(x, y_test, label='True Values', color='blue')\n", + "plt.plot(x, y_test_pred, label='Predicted Values', color='red')\n", + "\n", + "plt.xlabel('Order of Data Points')\n", + "plt.ylabel('Values')\n", + "plt.title('SVR Predicted Values vs Actual Values')\n", + "plt.legend()\n", + "plt.show()\n" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 44, + "outputs": [ + { + "data": { + "text/plain": "{0, 1, 2, 3, 4, 5, 6, 7, 8, 9}" + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn.datasets import load_digits\n", + "digits = load_digits()\n", + "X = digits.data\n", + "y = digits.target\n", + "set(y)" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 48, + "outputs": [ + { + "data": { + "text/plain": "" + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "text/plain": "
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+ }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "image = digits.images[2]\n", + "plt.imshow(image, cmap=plt.cm.gray_r, interpolation='nearest')" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 50, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Accuracy: 0.99\n" + ] + } + ], + "source": [ + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,random_state=0)\n", + "clf = SVC(kernel='rbf', C=1.0, random_state=0)\n", + "clf.fit(X_train, y_train)\n", + "y_test_pred = clf.predict(X_test)\n", + "print('Accuracy: %.2f' % accuracy_score(y_test, y_test_pred))" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 53, + "outputs": [ + { + "data": { + "text/plain": "
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\n" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "cm = confusion_matrix(y_test, y_test_pred)\n", + "sns.heatmap(cm, annot=True, fmt='d')\n", + "plt.xlabel('Predicted Label')\n", + "plt.ylabel('True Label')\n", + "plt.title('Confusion Matrix')\n", + "plt.show()\n" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 59, + "outputs": [ + { + "data": { + "text/plain": "
", + "image/png": 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\n" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "## 决策树模型\n", + "X = iris.data\n", + "y = iris.target\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3,random_state=0)\n", + "## gini, entropy\n", + "tree = DecisionTreeClassifier(criterion='entropy', max_depth=3, random_state=0)\n", + "tree.fit(X_train, y_train)\n", + "# 绘制决策树\n", + "plt.figure(figsize=(10, 6))\n", + "plot_tree(tree, filled=True)\n", + "plt.show()" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 64, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Accuracy: 0.98\n" + ] + }, + { + "data": { + "text/plain": "
", + "image/png": 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62QT4B5CamuJ+bTabUavV7kKiVatUA1yFRM1mM2fOns7TcYQQoiSRIS1RIqnVaubMms/efXvYuXsHDzwyiC8+mUbdOvV5eOj9NG7UlM4du9K2dXvm/jQ7Szu4vu6W0+nM8ne1OvtK5/+pUb0GP81ZBLhWWs7MzASgQf1G/DxvKTt2beePlcv4+psvmT93cbY9Mnkd0spOg/oN+fqbqe7XBw7tp2xE2RwLiQohRGknPTyiRDp3/iz3Dx6IsUZNnhjxFFWrVOPwkUOkpCRz8tQJhj4ynPr1GrJ81e+3tL+0tFSWr/wdRVH4ddlimjRumuP29es15PLlS+zZtxuA6d9MY9LbrwEwY+Y05v40m66dezD66bGYjh0lIyPj9k44Fxo1bEJcXCw/zJ3Fho3rWLRkAT269c6xkKgQQpR20sMjSqSKFSrRs0cfBj3QF7vdTi1jbXp2742/fwAPP/QoDw65h4CAADq07cSBA/uw2W057i8sLJyt2zfz6ecfUq1qNd6e9EGO2wcEBPLh+58z+YO3SEiIp1q1Gkya6Hru595BD/D6m+Pp0rMdWq2WZ596Hm9v73w795tRq9VMmzKTz774kJV//sHoZ15wV3X/r5Boeno6jRs2cRcSFUKI0k5KS4j8VCJLS1y8dJERo4awctmaog7ljiGlJYQQhU2+2gkhhBCi1JMeHpGfSmQPT14MvK8PycnJALz1xnu0btW2iCMqel9Nn8Lipb/gdDro3Kkbr41/M9ttpYdHCFHYJOER+SlfE57/Zho9OfKZfNtnfunZt/N1Q2BRUZeZOv0LLl++RJPGzXh82BPodPos20yfOY2LFy/w9puT83zsEyeOMeO7r0lOSqJd2w4MfnAIKpWK2LgYJrz+Mnv27iY0NJTxL79OuzYd8nycXbt3MHfebMwWM3169aVPr34AbNq8kalff05iYiK1a9dhwisTCQ0Jc7fbsetflv2+NMdzlIRHCFHYZEhLiHzgcDh49vlRNGnUlIkTJrF3725+nD8nyzZHTYf5dtaM2zpOaloqo194mp7de/PyixP4ddliVv+9CoC33p1Iw/qN2LhmKyMee4I3Jk3I86KCFy9e4PVJ4xn80KM88+QYvpj6KQcO7ScmNobX3niFt96YzKo/1lK5UhUmvP7ybZ2TEEIUBpmlJe5IUVGXGfzofde936tHH154/pVc7y8hMZ5+dw9kQL97AOjYoTNHjh52f26zWZk4aQLdu/bIe9BAbGwMI0c8RacOXQBo2bw1p8+cQlEUunTqTr+7BwDQrWtP3n7vDTIzM/Hx8cn9ceJieWnseJpdKUpav24DTp8+xcmTJ2jYsAk1qhsB6NtnQJZ1joQQoriSHh5RoJb98SsvjX/e/XrBwnlMeud1AC5HXWLEqEfp2rMd/e/pxc5d/950fw2b1XL//eKli/Ts2xkAi8XCex+8Rc++nendrysrVv2R437KlIlgzZ//XPcnL8kOQGhImLvQ59mzp1n62+Is9bO+njGVJo3v4q5mLfO0//9UqVzVndQcPnKI9RvX0rljV1Qqlft9gH82baB6tRp5SnbAtRhix/adcTqdbP93K4cOH6R1yzao1WoSExPc25mOHyU8LOeaY0IIURxIwiMKVOeOXdm9eyc2mxWA9RvX0qtHHwCW/b6U5ne15K+VG3nyiWf5YuoneT7Od7O/wWaz8cfS1Xzz1fdM/vBtEq75xVxYduz6l6EjBuPt7U3jK4sXHji4jw3/rGP0M2Pz7TgrVv3ByCeHYjTWcpeK+E96ejpTv/6cUY8/fdvHmTPve0aPfYounbsRHBxC2zbtOX/hHK+98QrTvv6Cd9+fRK+ed9/2cYQQoqBJwiMKlLe3N40aNWHHrh2kpaVx/vw59yJ4wx4bSaWKkXzw8bvMmDktS82rW3LNA/ebNm9gzbq/6NarA0OGPYjT6eDMmVPZNo2KunzD+lWffJbzgoM306zJXaxesZ7wsHC+nPYZFouFSe+8zltvTMbDw+O29n2tXj368Ofy9SQmJvDTgrlZPpv84Vs0qNeIzp263fZxhj4ynBW/r2Hzln9Yu/5vAgMC+emHX6hUMZLDRw6hKAqDH3jkto8jhBAFTZ7hEQWuV/febPxnHakpyXTq0MW9su+YF57G28ub3j1dM4BeHDc6V/u9HHUpy+t33pxMu7YdAdfDvR4GQ7Zt/xvSyi8xsTFcunSRhg0aodPp6da1J/N//pHDRw4SFXWZ555/EgCLxYzNbuPS5Yt8N2POTfZ6vbNnT2O2WDDWqIm3tzcd23fm+Ilj7s9/WjCXI0cPM/f7Bbd1PkdNh/H29qFC+YoEBQbRskVrjh830alDF8qUieDx4U8y8snHGDb0cfz9A27rWEIIURikh0cUuDat27N7zy7WbVxLzyvDWQB79u7i3nsepGWL1ixfueyW9uXj7cPFixdwOp3MnTf76jFatWPJb4uxWq3ExcVyd/9unD5TeFXALRYzL40bzZkzp3E4HKz+exUN6jekUcMmbFq/w/2M0EsvTKBbl555SnbA9TDxKxPGEhcXi8ViYd36v2lQvyEA6zesZeZ3X/P5J9Pw8rq9UhbHjh/jjbcmkJqWSkpKMlu2bqJB/Ubuz3fs+pdLly8y+IEht3UcIYQoLJLwiAKn1+upXas2x44dpXatOu73Rz3+DC+9MpoB9/bGw8OTxMREUlJTctzXE48/zbPPj+Kp5x53D40BDH/sCUKCQ+jdvyuPDHuAp0Y9555JVBgqlK/I86Nf5unRI+neuwOeHp6MHP7UTds9NOReDhzaf8vHadrkLgYNuI8Hh9zD3QO706BBY/fMsOkzp5KZmcnQ4YPdQ3SmY0cB6Ny9LbFxMbd8nLt796Ne3Qb0H9SL+x8eyH33PEiL5q0AUBSFz774kLGjX0Kv199kT0IIUTzIwoMiP8lKy7k07esveOThx/Dz9cvP8K7z4Sfv8cKYV9BoNAV2DFlpWQhRnEnCI/LTHZPw5JcdO7fTrGnzUnOcWyUJjxCisEnCI/KTJDzilkjCI4QobPIMjxBCCCFKPUl4hBBCCFHqScIjhBBCiFJPEh4hhBBClHqS8AghhBCi1JPSEiLfKIoS7emnDi/qOETxpyhKtEolk7SEEIVHpqWLO4bRaFQD8wEn8JDJZCo1F7/RaNQDq4C9JpMp/8qyCyFEKSFDWuJO8jZQHnisNCU7ACaTyQoMAnoajcYnizoeIYQobiThEXcEo9H4GPAA0N9kMpmLOp6CYDKZEoHewESj0dijqOMRQojiRIa0RKlnNBo7AguA9iaT6WhRx1PQjEZjK+BXoLPJZDpQxOEIIUSxID08olQzGo01cSU7D94JyQ6AyWTaAjwH/GE0GiOKOh4hhCgOJOERpZbRaAwF/gDGmUymtUUdT2EymUwLgJnAMqPR6F3U8QghRFGThEeUSkaj0QPXsM5Ck8n0fRGHU1TeBQ4Bc6/MUBNCiDuW3ARFqWM0GlXALOAi8FoRh1NkrsxEGwkEAR8UcThCCFGkJOERpdGbQGXgUZPJ5CziWIrUlenqA4G+RqNxZFHHI4QQRUVmaYlSxWg0PgK8BbQwmUzRRR1PcWE0GqsBm4AhJpNpdVHHI4QQhU16eESpYTQa2wGfAL0l2cnKZDKdAO4BfjQajXX/e99oNPoWXVRCCFF4JOERpYLRaKwOLAQGm0ymw0UdT3FkMpk2Ac8DvxuNxv9qnv1rNBojiy4qIYQoHJLwiBLPaDQGAyuA100m019FHU9xZjKZ5gGzcU1X9wL2Ax2KMiYhhCgMkvCIEs1oNBqApcBSk8k0s6jjKSHeAo4Bc4ANQPuiDUcIIQqetqgDECKvrkw//xaIBcYVcTglgtFo/BRIBF4FfgQaIT08Qog7gPTwiJLsdcAIPHKnTz/PhZm4KsbvA6KAHkCQ0WisVKRRCSFEAZOER5RIRqPxIWAY0NdkMmUUdTwlhclkOmIymZ4AqgBbASfgBwwtyriEEKKgyTo8okQwGo1PA5tNJtNeo9HYBlgCdDKZTAeLOLQS7UrJieHAYZPJtLmo4xFCiIIiCY8oEYxG4zHgXiAd1wJ6j5pMpj+LNiohhBAlhTy0LIo9o9FYDggGLgBbgDcl2RFCCJEb0sMjir0rz+vcB/gDu3HNyOoC/GMymdKKMrbcUpxKlEqtCr/5luJOoTiVaJVaVaao4xCitJMeHlEStAfKAvFAMnAaOAXsAUpUwqNSq8KjT9iKOgxRjIRX00kCLEQhkIRHlAQDAU/ABpwDeplMpv1FG5IQQoiSRBIeUaxdWVzQAXwETDGZTIlFHJIQQogSSJ7hEaJwKcVpSKvHPc3xMHgA8Nl731G5UrVstx08sg/p6alYbTYmT/ySBnWb5Pp4VpsVvU6f53hLo/BqOgBVUcchRGknCw8KUUpt3r6e+4f1wOFwAPDWR68w/fvPsmzj5+vPr/M28Ou8De5k57cVP3P3g23p3K8Rkz54CYvFDMC8b/7g13kbaNOiI06nI9fxxCfE8cobT5GQGHebZwZ79v/L/cN63HS7xKR4Xn1nNPcO7cqjT/Vn646N7s9+XvoDPe9tQf/B7ek/uD0fTnnjtuMSQhRfkvDkI8VmiQIU+XPn/bnyb1+stG7eAV8fP/7ZuobYuGi27fiHBwY+mmObw6YDLFj6A5+9O5NFP/zNmfMnWbbql9uO5dLl87z10cuMffo1ggJDbmtfGZkZTP78dRTl5tVEPpzyJpUrVWPh96uZMPY9Jn3wEhcvnwPAdOIwE1/6wJ3wvfzcpNuKSwhRvMkzPPlIpTOEX3qrVVGHIYpA2YlbiuVMm0cffIKfFs2ifp0m9Ok+kAD/oBy312l1vPnKx1SrUhOAxvWbEx1z+bZiOHnaxLRvP+K1FyYTGuL6MY0ccz8xsVlzxIgy5fn6k3k33d+0bz+iQd0m7DuwM8ft7HYb23ZsZMLYd1GpVBir1aZypWocMR2kXERFTMcP8dTwF/N+YkKIEkUSHiFKsTYtOvH9vK9Yvnoxc6cvu+n21avWdP/d6XSyfdcmHh/yXJ6Pf+Dwbub+PJNJ4z7B19ff/f43n/+cp/39u2szx08eZuLLHzH2wIicN1apQKUiKTkRXx8/zOZMLlw6R2hIOKlpKVyOvsBzrwwlKTmROrUa8MpzkwgJDstTXEKI4k+GtIQoxVQqFXVqNSAkOIzAgOBctV26fAF6nZ62LTvn6diZ5gze++w1Xn5uUpZkJ69S01L4bPq7TBj7HhqN5qbbazVaune6m1ffeY75i2cxZsJwvDy9qVe7EckpSfTtcR/TP/2JZfM3Eh5ahq9nfXLbMQohii9JeIQoxRIS41i/6S8Atu3855bbnTpznO/nTePVF95Drc7bbcLTw4t3JnzG5M9fIyYu6/DVyDH3ux8W/u/Pky8MznF/U755nwG9HySyYtVbjuHFZ9/gwYGPEZ8Qh+n4IYY8MBK1Wk35shUZ8+QE/Hz90Wq0DLp7MDv2bM3TeQohSgYZ0hKiFPtp8fd06dCLBnWaMPunr2nRtO1N2ySnJPHqu6N5evhLVK1svK3jV61s5KVn3+T9z17jmcdfoUpkdSBvQ1obt/zNjl2b+emXb3E4naSmJdN/cHvmTF+GXzY9SFqNlp5d+/Pn2mVUrFCFHp37Aa4Hlq1WC/VqNwIgNi76lnqNhBAll/TwiBLB4VSYsiOd/osSGLUyiQspN58WbbYrTPonlf6LEhj7dzKJ5pvP6ilNEhLjWP7nYu4f8CjtWnUhOTWJ7Ts35djGbrcxbtLTtGjalp5d++dLHGXCyvLGKx/z1Xcfs/fAjjzv589F/7pnVH3z+QLCQsrw67wN2SY7/7HbbfwwfwbPPP6SO6lJS0vh06/eJi4+hriEWOb8/A3tW3XNc2xCiOJPEp5SLM3qZNHRzKIOI18sNpk5FGdjXr8AHm/kzXtbbl5C65u9GZjtCr8MCKRzpIEvd6YXQqTFx/zF39O6eQfKhJVFrVbzwMChzJ7/dY5ttu3cxKGj+1izYaV7qOmdj8fddiz+fgG88+rnLP79J+LiY257f//vixmTWfjr3Bt+9tuKhVSqUIVmja7OoGzSsAXtW3VlyJP9eWLMA1SvYuSJx8bke1xCiOJDVlrOX0pxmpYeleZgzN8pLOgfWNShuMWkOxi1Kvm697tEGniqiXe27UatTOKB2p50qGQAYMSKJN5q60tZ3+yHIQYsSmByRz9qBmtxKgr3Lknkp36BGLT5v6ht2Ylb4NZWy72jV1oW15OVloUoHPIMTwmx8ZyFWfszSbc6aVRGx4vNfdBrVIz5K5mOlQysOGnmcpqT3tUMPNHImzF/JXMm2UGqVWHg4gR8dCrm9HUlPrP3Z6AAWhUsO25mUjtfaofosDsVZuzJYP1ZK3oNDKnnRfcqBvZG2/hyZzpBnmpOJtqpG6rj5Rbe+OjVPL4iieENvGhRzlUuYPjyJEY19qJZxI3LB4R5a1gyKOe1YG4kJsNJjaCrl2uEt5rzKY5sEx6LXSHFqlAt0PW5WqUiyFNNVLqDSv5y2f9n1aLtt7ztvG/+KMBIhBCiYMmQVglwLsXB17sz+LiTHwv6B5JiUVh+wuz+fInJzFvtfJnZy5/FR82kWpx83tWf6T38CfVSs2RQkDvZ+c/KkxbSbQpf9fDHeCWRWHA4k9NJDub2DeDDTn7M2JPO4ThXb8SZZAdD6nryywDXfuYccA2VdapkYP05KwAXUhwkmZ00Dtfl+8/AqYCP/uqXYA+tijRb9r2TTsBDo0Kr/r82VunRFEKIO5F81S0Bdl22kmB2MnJlEgAOJ4R5Xc1VB9X0INzb1ZMR5KEm3abga8h5n+V91YxqnHUIadN5K4/U88JDq6Kcr4YOlQxsvmCjWYSOKgEa6oW5EpnuVQzMPZABQOdIPSNWJGNzKGw4Z6VTpAGNOvve+bwOafkZXMmK35Xzsjggh8PgoQEnCnan4k56LHYlxzZCCCFKL0l4SogWZfVMaucLgNWhYHNe7akof+2wzi3+Qq8fduNemOyaX9svoiiuISJwDVFV9tew87KNjectjL3LJ8fj5nVIq06Ijv2xNsr6anAqCqZ4Ow/U9sh2e5VKRa1gLQdj7TQM15FpUzib4nAnhqLkczgcfPnNB6zZuJKI8LK8/tKHVChXKcc2h00HmDrzA6JjL1O+bCVeePp1KpavjMPhYMbsz/hn6xocDgd9e97Hw/e5VnJ2Op0sWDKb7bs2ERQQzNCHnqRShSqFcYpCiHwkQ1olQJMIPXtjbJxPceBUFD7elsYP+6/Ovsqu18LPoCbF4iTTpuBwKqRacp6W3aaCnqXHzJjtCpfTHGw4a6F1eVdidCrRwf4YGw6nwqpTZhqEX82VO0caWHAkk0y7gjG4YHLoXlUNzN6Xya7LVr7dm4FOAzVvcqxeVT2YuiudfdE2Pt+RTp0QLUGed/Yln5qWku1sppJm0bIfOXR0Lwu+W8kTQ5/n3U/G57i9xWrh1XeeY+hDT7L4hzV0atudl994EkVRWLxsHidOm5g9bSkzv1jI6nW/s2rNb4BrttvBI3t5+bk3qVWjHq+9O6YQzk4Ikd/u7Lt/CVHRT8Pzzbx5dX0K9y5JxOqEofW9btrOS6diSD0vhvyexMDFiRxNsOe4/QO1PYn01/DIsiReXJPCyEbe1A5xJTzVgjTMP5TJvUsT0apVPFzX092ufUU9h2LtdI68yTjabagXpmNUYy++25fJyUQH77b3dfcyjVqZxJG462c+dalsoE81D6btTsdsVxjfKufepztBWnoqi34rXglPdOzl61Zd7j+4PVO//SjHdms2rOChe4bj7eVDk4YtsFotXLp8PtvtDx3ZR6B/EHc1bg1Az64DuBR1gfjEOP7ZtpYBvR/AYPDA3y+A1s07cODwXgC0Wi0vPjORchEV6dN9EBcunsXpvLPWdBKiNJAhrRKiQyWDe0r2tT7vmnXRtf+fgv5AbU8eqO2Z5b3skiWtWsXTTbx5+gbP0nhpVUzu6Hfd+3angq9BRZi3mi4FmPBA9j+D6T0Dsm3Tv4YH/WtkP/RVkm3Y/Bff/TiVtPRUmjRozkvPTUKv0/PcuKF0atuD5auXcCnqAn2638OTw8by3LihnD570r1Csbe3r3vm1ax500BR0Gh1/LbiZ96Z8Dm1a9bHbrcx/fvPWPfPn+j1eh59cBQ9Ovdjz/5/mfLN+wQFhnDi1FHq1W7MuDFv4+Pty/Bn72HEkOdo2awdAEOfHsBTw190Jxr/Lzw0gl/nbcj1+UfHXsZYrbb7dUSZcpy7eIayERVuuL1arSI1LQWHw4FGo+HEKZMrwfENQH2lyOh/Tpw+Rt2aDQC4f8CjgKs22KyfvqJjux55LrchhCg6kvCI27LxnJUvdqbTNdJAuRzWxBH569yF00z77mO++mguAQFBTHjrWX5ftYhBdz8EwKJl8/jk7W8AeOjxXjx873CmvD+by9EXGT3uMRZ+v/q6fS7/aymd2/VkxqfzCQx0FRr9adEsTp05xrxv/iA+MZanX3yECuUiATh99gRjn3qN2sYGTJw8ltnzp/PMiJfo3L4X6/75k5bN2nH+4lmSkhNp0qBFvv8MnE4FH5+rSbiHwZO0tNRst69bqyEGgwcT3n6W2jUb8PuqX+jQphs6nY5e3QYwZcb7JCbFc+rscXbs3syYUVmHyJ57ZSinz53kyw9m5/u5CCEKniQ84qYahuuu60n6T6dIA50KuGdHXG/Hnq0kJMYx4rl7AbA77ISFlnF/fm//RwgPiwAgKDCEtIy0m1Ysr1AukqeGv5jlvU3b1jLkgVF4eHhSLqIiHdt2Z/P2dTRr1IqqkTWoV7sxAD279GfOgukAdG7fk2HPDMJms7Fh82o6t+uZY52q6NjLPDHmgeve79KxD8+MeCnbdv5+AaSlpbhLS5gtZtSa7HtetFod0z6ay4q/lmI6cYj4hDiG3D8SgO6d+hISFMa/u7dw4PAeunboTbmIilnaz/xiIZu3r2fcpKdZNHsNOl3+L78ghCg4kvAIUUK1bNaOtyd8BoDVZsVms7o/K1/26mwllerWpu7Vr9P4hu9n1/7aVdoVxYla7UpqwkMjqFypOjv2bGbD5r944ZmJOR43r0NadWs1YN+h3ZSNqIDT6cR04hCD7xmeYxt/vwAeHPQY73/+Ond3H+TurQJXuYmIMuX5dcUCRjzynPv99Zv/okNrV52t1s07YLPZSEiMcyeUQoiSQQaiRY7e35rGqpPmm29YiJyKwvxDmYz9O5m3N6VyLvn6QqLnUhz0WBBfBNEVjmaNWrL3wA7OXzyD0+nkwy8m8v1PV+tkqbNJUvx9A0hOTSIjMwO7w05q6vVrIl2rTYtOLPnjJ8zmTC5FXWDdptW0bt4RgJNnjrHv4C7sDjsr//6NBnWbutt17dCL+Ytnk2nOpGb1uvlwxtfr1XUgs36cys49W/nmhy/Q6fTUrHHzY52/eJYt/25g2MNPX/fZ7J++5p67B2dJZpb+/hMLl84BYOuOjXh7+RAaEp5/JyKEKBSS8IgS5+fDrkKiLzT3oWawlokbsz634XAqvL8lDcvNC6qXWBXLV2bsU68zbtIzDBzSCavVyrCHnrppOy8vb4Y+OIpHnrib/oPbc+T4wRy3f+ieYURWqMrgkX144bXHGfXY89S58jBv9Sq1+GnRdwwa0gmtRsuQB0a627Vv3Y2DR/bSpX2v2zvRHNSv05inhr/It3O/5ORpE5Nf/9L9MPHIMfdz2HTghu1mzP6Mh+8dQYB/1vWgTpw6yq5923j4/sezvP/KmLfZvH0dfR9qxw/zp/PeNccRQpQcUjw0fxWr4qH54f2taTQM09Kjav7PdDoYa7suWQF4qI4n99T0vEELl4VHMukSaSDIU02GTeHuXxL468Egd6/GvIOZnEtxsPq0hXWDg/M97hspqcVD82rP/n/5/qevmPL+7Os+s9ttqNUaHhzRi0/f/ea6Z2FEVlI8VIjCIc/wlEA/H85kicmMxaHQopyel5p7o1GrOJFo5+NtacRmOAn2VDO+lQ+VA7R0nBdPr6oGtl600re6BytPWqgWqOHZpt48szqZ+mE69kbbiPTXML6VD6FeOc+22hdtY9rudBIznVQP0jKupQ9+BjWpFifvbknjeIIdnVrFE4296HiDaeT/qRuqy9Oqy/fVciVDmXaF2fsz6FhJ7052TiXaWXnKzPQe/qw+bcn1vsXt27Dlbz7/+l26duwjyY4QotiQftkSJtXiZPqeDKZ19+eXAYGogNNXnmH5/biZvjU8WDwoiI6VDMw9eHU15q6VDXSONLA/xsa3vfzZetHVyxCfqdCmvJ7FAwOpHKDly50ZOR4/+UpSM6GVDwsHBBLiqWbeIddxVp2y4FRg0cBA3ungy5YL1hz3dbvG/JXMb8fN7t4gu1Ph/W1pjL3LBx+9XNoFqVH9u27YuwPQuV1Pfp+/iedGjivcoIQQIgfSw1PCeOtVVA/SMHVXOs0idAxr4OnukRnV2JsN5yx8sj2NHZdtlPG++ku/fpiWvdE26obq8DWo3bWxfPUq97TyXlUNvLAmJcfjH461k2h2MvZv13YOBWpeqbZeO0TLgsOZzNybQd1QHS+3yHll47wOaf1nRs8AtlywMmF9Cj/3D+THQ5nUD9XRuIxMFxZCCJGVJDwljFqlYlo3fw7G2tkXY2PkimTe7eBLzWAtT61Kpn6YlrYV9LQop+eXI5lZ2rn+m3V/19QgvVIU9OYxVAnQMOPK6sZ2p4LZ7tpJnVAdM3sFsDfaxurTFmbvz2BGT/9spzXndUhrwzkL7Su6krRW5fVYt0CC2cmGc1aSzU7Wnr06lDVwcQIfdvKjWqBc6gXtvU9fpVG9ZvTs2r+oQ3HrP7h9ltepaSm89Nyb9OjcD3DNNHvrw1f44aulRRGeEKIQyW+BEuZiqoNXN6TyZVc/GoRr2RdjwxRvp5yvhjPJDt7r4IufQcVH29JvaX/pNoW/TlvoEqlnxUkLDbKpov6f2qFaotOdHIixUS9Mx+z9rgeE32rnyw8HMjDbFUY08KJmsJaHlyWRaQevfO5w+fWYmZh0J/fW8mTbRSs+OhWhXmpm9wnIsl3HefF5SqhE6XHt+j6paSk89sxAWjRtC8Dxk0d5/b0xUhdLiDuEJDwlTDlfDV0i9QxbnoTdCdWDtHSONOBnUHNPTQ+eWJmMv0FFq/J6jsTZsTtznoUX4qlm52UbX+9Op3KAlvEtcx6G8jeoebOtL5/vSCfJ7KRKgJaXW7pqb/Wt7sH7W9K4Z0kiWjWMaOiFly7/J5+83MKHD7el8dOhTCJ8NLxzTSFRUTodOLyH129Qpfyhe0dwX/9HbmkfPy/9gV5d+runoy/8bQ7PPP4KU2ZMzs9QhRDFlExLz18lalp6VJqDMX+nXFdwVORecZ2WPn/x9yz+fR4Wi4WWzdrx8uhJaDVaTpw6yodT3iAmLprgoFBee2EylStVo13vuvTuNpAt/66nX6/7WfHXUqpVrsnoUeN56sWHaVC3CXv37yCyUjUmjH2XsJCr5SxuNKS19+BOpn7zIQlJcdSoWosJY9/Dz9ef1NRk3v54HMdOHkGn1fHk8Bfo1LZHgf0cMs0ZPPR4b3746ld3KQpFUYiKuZRtbbHCItPShSgcMpVFiFIqNTWZr2d9wvRPfmLJnLWo1SrOnD0BwG8rF9Kv1/38+uN6OrfryQ9X6mABdOvYh64d+rDv4C6+/3IxW3e4hoXiE2Jp26ITS39cT+VK1Zgy4/0cj5+cksTbH73Cay9OZvEPawgJDmPuz66Cpiv//g2n08nSueuYPPFLNm9bV0A/BZc/1yyj1V0d3MkO3HrJDSFE6SBDWnewMj4a6d0pxby9falRtTZTZrzPXU1aMezhZ9w9Mk8Nf5H1m/7ioy8nsWP3ZsqEl3W3a1C3KXsO7KB+7cb4+vq7a2b5+vjR+crKyX26DWTMhBE5Hv/Q0b0kJsUzZvwwABxOh7vMRO2a9flp8SxmzP6cerUbMW7MOznu63aHtJavXsLoURNuup0QovSShEfk2dA/kkixuB74HNfSh7vK6os4ovw1a18Gf5ww41SgXQU9Y5vn/HxTcaNWq/n6k3kcOLyHvQd3MOK5+5g88Utq1ajHqLEP0aBOE9q36kLLZu1Y+OsPWdoBqP5vyt61w99Op4LmFsorVI2swcwvFgKuFZgzza6Zg3VrNWTWl4vYs/9fVq/9nVnzpvHtFwuz7XWpV7tRngqMgqt2VlJyorskhhDiziRDWsXc7P0ZzN6f82KARcVsV1gyKIglg4LcyU5MuoPJW9IY81cy3+/PwOa4/hmxH/Zn8P7WtNs69tYLVgb/lsi9SxJZfuL2ipsmmp28tCaF/osSePOfVPc0+2ENvFgyKIg32/piLYETeS5cOsfw5+6hehUjQx98ksoVq3L0+CFS01I4ffYEDwx6jDq1GvDXuj9uaX9p6amsXvcHiqKwfPUSGtRrmuP2dWo2JCrmMgcO7wbg+3lf8cEXrsrps3/6mp+XzqFDm+48MXQMJ04dJTOzYK7zzdvXcVfj1jKEJcQdThIekW8cToXx61OpH6blheY+HIixseho1mTkeIKdHw9lZrOHWxOb4eDtzam80tKHH+4OYInJzOkke5739/G2NCJ81CwZFEhFPw1zDhTPBDO3ypetSJf2vXj06QH0f7gDOp2erh164+8XwH39h/D46Pt4fPT9hIWW4VLUBez2nB+mDg0OZ8eeLQx4uANnz5/i2cdfyXF7f78A3hr/CZ9+9Q79H+7AkeMHGf3EeAD69bqPU2eOMeCRjjzzyqM8PmQ0Xl7e+Xbu19q1bzv16jQqkH0LIUoOmaWVv/J9ltZ/vTtD63vl637B1RszalXyde93iTTwVJOb//J54NfELM8AxWc6WXfW4l4leYkpk+MJDl65MtXd5lAYtSqZqgEa1GoV424yBT47S01mtl+y8n5HPwB+OZJJqlVhWIPc/4zSbU76/pLIooGBBHqoSbE4GbkimQUDrp7X3mgbq05Zcoy3uM7Syi+Xoy8W+Wym0kpmaQlROOQZnkKw6pSZbRdtvNnWF3D9wj6ZaOfFFj5Epzt4f2sa51MceOlUjL3Lh4bhOa/U13FevLsK+LVTy60Oha92pbPtkg21CobV96JL5eyLd4Z5a/J1Yb5gT7U72Tmf4mDFSQsjG15NQmbvz6BhuI7qgRr2xuS9RyYmw0GNoKuXboSPhsNn8lYoNC7DSYinmkAPV2enn0FNht21erSHVn4HCSFEaSFDWoWgXQVX0c7/nmfZcsFK5yv1q1adstCkjI5FA4N4rL4X3+zJ+3DKvEOZ2J0wr28An3T244udrsUBC9veaBvPrk7GS6ui/pWVmw/H2dhy0ZYlAcorRQEf/dVkxFMLaba89VQ6/29fAAaNivQ87q+0iggvJ707QogSTXp4CoGXzvWLf2+MjdohWi6mOWgQ7vrRD67jyabzVqbsTGf3ZRvmGzzkm5Nrt9520crlNCdbLrqqlDudcC7FQYDHjfPa2x3Syk7DcB2/DAjk/a1pfLs3g5GNvPh4WzrjWvpgyIdeEz+DmjTr1TM3O0CTx936/9++ACwO5ZZqiomcDXmyHykpSQCMf/5dmjdtU7QBFZL0jDQGP94bAIvVwuxpSwkPiyjiqIQQkvAUks6RerZesJFqUWhTXu8uhfDahlQ8tSq6VjbQvbKBN/65vnp4TqLTs/bgjG/pQ8vyrhlTaVYnhhwygfwe0orLcBKV7qBuqA6dRkXHSgaWmDIxxduJyXAyfr2rwrrVATanQlSag8+7+t9kr9erE6Jl9jUPFh+JsxPunbfOyiBPNVq1a2iwjI+GCykObE4FP33JyHhmzZsGwLDBTxdxJNczmzOvm0p+6Og+PpzyBskpSfTvdT9DH3oyz/t3Op0sWDKb7bs2ERQQzNCHnqRShSoA/LbiZ76dO5WMjDTaterCuDFvYzB45Ok4FquFH+Z/zYHDeylftiLDH36GkOAwMs0ZfDH9PXbv34FGrWbI/U/Qs2t/vL183Of93LihOJUSOMVPiFJIhrQKSfOyevbH2th8zXAWwP4YG/1qeNA0Qsdfp2/tORRvnYrLaQ6cipKlInrzsnqWnzRjdSgkZDoZvCyJcymOfD+X7FgcCm/+k8q5FAcOp8K6sxbqhOioF6bjj/uC3FPYn2niRcdKhjwlOwD1wrTEZzr5+XAmWy5Y+f24mU6Vsn9W6WZ6VjXw0fZ0DsTYmLIznY6VDGikiyffmc2ZvPrOaB6+73EWzf6LvQd3sn3npjzvb/7i7zl4ZC8vP/cmtWrU47UrCxMeNh1gwdIf+OzdmSz64W/OnD/JslW/5Pk4U2d+QGpaCuPHvI2Pty8fTHkDgG9++AKnU2H+zBV8+u63zPjhc/Ye3Jnn4wghCpb08BQSvUZFjSAth+PsGIOv/tiH1vfijX9S8da5ekSSzU7SrE589NnnokPqeTJ+fSqhnmqaldVxMsmV1Dxc15OpO9MZ/FsiGrWKYfW9qBpYeP/E5Xw1jGrkzbh1KVjsCi3L6XmknudN241amcToZt7UCrm1supqlYoPO/rx9e4M1pyxMLKRFw2uPOj98+FM4jOduRqSe7C2Jw4lky92plM9UMtTjfN/RlxJFB17mSfGPHDd+1069uGZES/len979v+Ln68/XTu4hnsG9nmQvzcsz/NQl1ar5cVnJhIUGEKf7oP4etYnOJ1OdFodb77yMdWq1ASgcf3mRMdcztMxAAL9gxh83+MY9AZ6dOnH+LeeBWDT1rW89/qXaDQaIsLL0aheMw4e3kPDujmvTySEKBqS8BSil1tcP635vlqe3FfralLw+P891Huj6ej/3+a/v+s1qkJdDdhDq2Lg4gTg6krLXSobcpwZBtCjqgc9ql59fVdZPRX8NLk6dhkfDZPa+V73frMIHYficjcDTKNW8Wg9Lx6tl/Vn/f8rLReUlX//xrYdG5k0/hMAlvwxnxOnjvLyc5OIjrnMe59O4NzFM3h7+fDiMxNpWK9Zjvtr17suG5cfBLJOJ7dYLUz79iO27diISqVmxJBn3cnHjYSHRuR5deMbiY69jLFabffrsmXKc+7CmTzv7/4BjwKuwqCzfvqKju16oFarqV61pnsbp9PJ9l2beHzIc3k+zrCHnwEgJTWZH3+eSdcr5TVUajVJKQnu45w6e4IWzdrm+ThCiIIlCY/Is9l9AvJlP43CdTn2aOWG1clNE65bNayBV57W9smt9q26MOP7T7HZbOh0OjZtW8vD9z4OwMq/f6VJwxZ88f73rP1nFdO//4zpn/6Up+PMWzgTu93G/G9XEh17mRHP3UezRi0J8M+/57hy4lQUfLyvJqkeHl6kpefumbUbee6VoZw+d5IvP5h93WdLly9Ar9PTtmXn2zpGaloKT4x9kLS0VGZc+fn37jqA9z9/nUF3D2bXvm1Ex1yiTYtOt3UcIUTBkYRHFLlGZW5tKOtW1AwueZe0l5c39es0Yc+Bf6lTswEXL52n4ZWyDQ/fN4J/tq7li+nvsXPvNiyW3JXRuHZh0a07NnIp6gJbtq8HwOl0cPb86WwTnvwe0vL39efINQmOxZLprtt1O2Z+sZDN29czbtLTLJq9Bp3OdT2dOnOc7+dN44vJs277OL4+fsyfuYLFy+bx2rtjmDV1MY8+OIpKFaty+Og+Dh/dz739HsHbq2TVWxPiTlLyfjsIUQp16dCLLds3kJqWQttWnd2/oMe//Rxenl5063g33Tv3ZeJ7Y3O135jYrM+uvPrCe7S6qwPgqo1l0Gc/cym/h7Tq1GrIzDlTUBQFlUrFYdMByoSVvXnDbKzf/BcdWncFoHXzDthsNhIS4wgPiyA5JYlX3x3N08NfomplY56PYbVZ+XfXZtq06AhAt053M+Wb992fd2jdlUD/IFav/Z0HBz2W5+MIIQqezNISohho0awd+w/tYvO2de5nRAD2H9pF/17306xxK1bfYpFPby8fLkVduDJt+2oV9BZN2/HHn0uw2qzEJ8Tx4IienLtwKt/PJTtlwspSNqIC0779iF37tjN34Uy6dOh184bZWPr7TyxcOgdw9V55e/kQGhKO3W5j3KSnadG0LT279r+tmHVaHVNnfsCGzX8BsGbDCurWaphlm1k/TmX4I88WWC0wIUT+kIRHiGJAr9NTo1ptTpw2Yaxex/3+Yw89xcTJY3nkib54GDxISk4kNS0lx30NfehJxk16mhcnPuEeGgN4+P7HCQoM5oHhPXjyhYcY/vAzt9X7kRcTX/qQtPQUps78gD7dBtK9U18A1mxcyRuTX8jVvl4Z8zabt6+j70Pt+GH+dN57/UvUajXbdm7i0NF9rNmwkv6D29N/cHve+Xgc4JrKPvXbj275GCqViknjP2XeL9/Sb3A7Nm75m9devNrDs3n7etLSU+ndbWCuYhdCFD4pHpq/8r14qCgZSnvx0LzIzUrLKanJLPptrntGVEE5eeYYh47so2/PewvsGLldaVmKhwpROCThyUeKzRKl0hnCizoOUfgUmyVapTOUuZVN75SEJzfOXzyLh8GD0JCC/d/nyLEDRFasiqdH8VlrSRIeIQqHJDxCFC5JeEQWkvAIUTjkGR4hhBBClHqS8AghhBCi1JOERwghhBClniQ8QgghhCj15KFlIQqR4lSiVGqVzOQTbopTiVapVbcyw08IcRsk4RGiGDIajRWBj4AWwIvAIpPJJP+zFlNGo7EK8AlQH3ge+F3+vYQoXiThEaIYMRqNnsBLwGjgS+BDk8mUUbRRiVtlNBq7Al8A54ExJpPpSBGHJIS4QhIeIYoBo9GoAgYCHwO7gBdNJtOZIg1K5InRaNQBTwOvAnOBSSaTKblooxJCSMIjRBEzGo11cfUKhAPPmUymtUUcksgHRqMxDHgX6IMr+ZltMpmcRRuVEHcuSXiEKCJGozEQmAQ8ALwFTDeZTPaijUrkN6PR2ATX8KQOV0K7tYhDEuKOJAmPEIXMaDRqgOHA28BS4DWTyRRXtFGJgnRlyHIw8AHwNzDOZDJdLtqohLizSMIjRCEyGo2tcX3bT8f1bX9PEYckCpHRaPQFJgCPAx8CX5hMJkvRRiXEnUESHiEKgdFoLIfrF1w74GVggUxbvnMZjcbqwKdATVyzuZYXcUhClHqS8AhRgIxGowcw9sqf6cBkk8mUXrRRieLCaDT2BD4HTgDPm0ymY0UbkRCllyQ8QhSAK89s3A18BuwHXjCZTKeKNipRHBmNRj3wLDAemAW8YzKZUoo2KiFKH0l4hMhnRqOxFq5v7RWA0SaT6a+ijUiUBEajsQwwGeiG6zmfuTKNXYj8IwmPEPnEaDT6A28Aj+Baf2WayWSyFW1UoqQxGo3NgSmAAjxrMpl2FHFIQpQKkvAIkQtXhqq49oFjo9GoBobiSnL+AF41mUwxRRKgKBWuXFNDcPX4rATGm0ym6P/fRnqAhLh16qIOQIgSZj5w738vjEZjS2A7MAK422QyPS7JjrhdJpPJaTKZZgNGIB44ZDQax1553ue/xPuE0WisVIRhClGiSA+PELfIaDTeg2uxwEZAIPA+0AUYB8yTb9uioBiNxpq4HoCPxDWN/U+j0TgBaA/0kCUOhLg5SXiEuAVGozEYOIirDERzXGvpfAu8azKZUosyNnFnuNKr0xvXA/GHuLKeE67FC2cXXWRClAyS8AhxC4xG4xzAH6gNHAXGmkym40UblbgTGY1GA/A88CLwG9AXqC+lKoTImSQ8QtyE0WgcBswEYoBfgEtAAKDCVRNJ/icShcJoNPYDOgCJgBPoATTFtdZTc7kWhcietqgDEKIE6AGcxPVLxQPX8ztJwPkijEncmc7huu4CcSXdZ3Al3pVxVWO3FlVgQhR30sMjhBBCiFJPenjykUWxRxlU2vCijkMUPotijzaotGWKOg5ROtksSpTOoJJ7yx3IZlGidQaV3FvygfTw5C/l7uhPizoGUQR+Dx8LrqEFIQqC8m57eSb5TvTqhgiQe0u+kIUHhRBCCFHqScIjhBBCiFJPEh4hhBBClHry0HIpdKLHLFQern/a8p/1wVA5KNttTw9egDPdimJ1UHZyD7waROT6eE6rA7Vek+d4hRAlw/zoXmhUBgC6BX5KgK5yttv+GvsIViUNp2KjY+B7hOvr5/p4DsWKRqXPc7xCXEsSnhImbfMZYqdsIfKnB1Bp1Fx+aw3aMB9CRzV3b6P2M1Bl4eAs7SynEoj/YReOZDM+rSoRcG89VCoVlec9AEDUe+vAmfsH2O3xGUS9s5Yyr3dCG+SV5/NK33mBxHl7Kf9Zn1s/dlw6Z0csocJX/dCX9QMg8ef9xM/ehcrgSsC8W1WizMvt8xyXEHeK8+Yt7Ej9kv4hP6JWafgn6R28NKE08X3CvY1e5cugsJ+ztDNl/Mbe1FnYlAwqerSllf8raFUG+ofOBWBz0mQUxZHreDId8fyT/C5t/V/DU5P9l7acLIsbhtmZ6H7dxv9Vyhqa5thmf9pcjmYswaDyo7X/OEL0tQA4nL6QfWk/uBOw8oZWtPJ/KU9xiaIhCU8J49M6kvjvd5H2zxk86oSTvu0ckT89kGMbR5qFS+NXEfpMS3Tl/bn85hq0Id74dqp6W7FYL6UQ/cEGwl9se9vJTtRba9BHBuaqXfSnmwjoX9ud7ACYTbGUmdgJn5ZSRFqI3Kjg0Yp9abM5b/mHUF0dLlq20T/0xxzbxFmPcDh9IV2DPsFTHczfiS9yPON3annfc1uxpNovsTXlI1r4jc1zsmNXLFicSdwXtvSW25w1b+R4xh/0Cf4Wq5LKusRX6RfyA2qVlnjbMdr6v0Z5j5Z5ikcUPUl4SqDgRxuT8NNePOtH4N+nJtoAzxy3t8dlEDS0CT5tXd3P3s3KYz2bmGObm7GcjCd22lbKvNYJXag3AGdHLsEek5ZlO12ELxW/HpDjvpIWHyT06ZYkLz96y8dPXXsS6+kEIt7skuV9symW0Kda3PJ+hBBX1fd5hIPp8wnXN6CaZ2881AE5bq9WaWkX8AZBumoAlNE3Is0RfVsxJNpOsjP1K9r4T8BLEwrA8rgnSHfGZNnORxNBr+Cvst1Pgu04Adrcfak7k7kGo/cAvDTBeBGMvzaSaOt+IgyNibeZaOL7ZO5PSBQbkvCUQN5tXL08ycuPEjn3/ptub4gMxHCl98RsiiVt8xnKvtMtz8fPPBBFwtw9REzqisbX4H6/0jcD87S/su91J3Pvra8x4sywEjNlC9pgTy5P/AuvZuUJGFAHZ7oV2+VUzj/3O46kTDzqhFPmlfZoQ7zzFJcQd5oKhjbsS5vN8Yzl9Av54abbB+mqu/+uKE4uWrbTyPfxPB8/xnqAA+nzaBfwJga1r/v93iEzcr2veJuJJPspFsa4vnAZvfrRwGdojm3SnTHU0PZzv/bVRJDiOE+wszppjsv8mTAaizOJUF0dWvq/hJcmJNdxiaIjs7RKIJVKhUedcLQh3mgDc+7duVbKX8e5MOYPDNVD0OfwIHNOnJk2ot5bR/jL7bIkO7dDpcrdmlpJSw6hmG0EDKyLb5dqJP1ygIQ5u3EkmwnoW4uK0/tTddmj6MJ9iP16W77EKMSdQKVSEaqrg5cmBE9N7oaYTRm/olHpqWhok6dj25yZbE5+n5Z+L2ZJdvJKq/Kkgc9j3Bu6mN7BMziRsZJLlp05tlEUJ3q1zzX78MDqTMPsTKa61930Cv6K+8J+xVsTxq7U6bcdoyhc0sNTAtkTMkhbfwpNsBfp287h3aLiLbXz61odn9aVuDhuFUmLDhB4X+5nTag9dZR9pxtRk9cT/kp7dGFXbw55HdLKrYy9lwgYVBf/3jXd7yX+tJfgoU0IG3P1ZhswqC4XRv+er8cWojTLdCRw1rwBT00wFy3bKWdofvNGQKLtFHvTZtM96DNUqrx9j9apPekQ8Babkz+glf9LeGvC3J/lZUirulcv99+9NWFU8ujAZevOHB9aNqj9sDqv3sPsigWdyhs/bXma+412v1/TayCrE5/P1fmJoicJTwmU+NM+fLtUw7NBBPGzd9004bGeT0KxODBUC0btpcenTSSWUwl5Pr6hajDhL7Uj+v31hD7TCkMVV29RXoe0ckvtqUNb5uo3QLVBg9pHj9kUi2J14FnPVXbGHpsOGunEFOJWHUpfQGXPLoTr67EvbfYtJTxmZzLrk16nqe+TBOpubyJEoK4qLf1fYEvyBzT1fZpAXRUgb0NaxzOWU9mzC9or0+gznLH4aHJediNUX5cYm+uZHYA42xFqeg0k3nYMh2IlTF8XgHRnLCpkKY6SRn4blDD2hAySlx8l8P76+LSrjCPZTPr2czm3ic/g0pt/Y4/PwGmxk/bPGTzr3l4dQl0ZXyLe6ELsV1vJ2HvptvaVW94tK5L69wmcmTacmTaSlh7Gq0k5nGkWoj/9B3tcOva4dBLm7Ma3ffbrhAghrsp0JHA8czm1ve+loqEdFmcKFy3bc2zjVOysS5xAOUMLqnn1zJc4fDRlaBswkV2pXxNl3Zvn/URb93IgbS52xcJlyy4uWLZS0aNtjm2qeHTBlPEb58ybOJz+C8n2c5QzNMPqTGV7ymdkOOLIcMRzIO1HKnq0y3NsomhID08Jkzh/H96tK6G70sMR+EADVy9P8+x7ebwaliXg7lqcfXwxKpUKv+7V8btmOCivNP4eruGtd9ehL++f7w8Hx3yxGV2E73VDb349jNij0zjz6C840614t6xI0EMNUek0+LavwpkhC1F76vBpV5mQkXfla0xClFaH0hdQwdAKH42rh7SO9/3sS/shx16ei5btxNoOkeq4yBnzWgDK6pvSJuDV24rFQ+1Ph8C32ZT0Hn6a8nl6OLiJ71P8k/w2C2P64aMpS2v/VwjRue57/6Z8iY+mDLW9783Sxldbjnb+E9mXNhsFhU6B76FX+xJhaEJFWzuWxQ1Fq/Kgokc7Gvnk/eFsUTSkWnr+KhbV0gt7pWUh1dJFgSsW1dILe6VlIdXS85P08JRC1VYNu+Vt/1tpWQghbubB8BW3vO1/Ky0LUVzIMzxCCCGEKPUk4RFCCCFEqSdDWqLYUBxOYr/cQuqak2gjfIl4vTP6Cv633D5q8jq04b6EDHOts5FdwVT39u+tw7NRWfx7GvP9XIQQxYdTcbAjdSpnMtdemQX2On7a8rfUdnPSZML1Dd2z0A6lL+BQ+tUCqk7FgV7tzcDQ+cRZj7AjdRrpjugra/c8j7/21tZJEwVPenhKOEeqhcSF+4s6jHyRtOggmYeiiVzwIKFP3EXUu2tvuW3alrOkrDzmfv1fwVS/LtUIG92a5OUm0tadAlyJVcwXm0ldcyLfz0GI0sLqTOVw+i9FHUa+OJqxmDjrIQaE/kRj35FsSn73pm2cioN/U6Zw2pz1PlTH+wHuC1vq/lPLeyCVPDrgUCysS3qNBj6Pck/YL1Ty6MCaxHHIxKDiQ3p4SjhnmpXEPK6aXFBs0Wmce2LJde/7dalO6DPZVxpOWXOCoIcaovHW49WkPMq0bVgvpWSphn4jjhQzsV9sxqdjFfd7ORVMzdhzCZVBi89tVosXojSzOtM4kr7ouqnbRSndEcPy+Ceue7+KR1ea+j2VbbvTmWuo4/MQerU3EYYm7Ez9ilT7JXy1ZbNtE2Xdg0ZlINKjY7bbWJwpnMhYSZ+Qb4m1HsZDHUBZQzMAqnn2ZHvKZ2Q6E/DSBOfiLEVBkYSnGEndcIr473biSLPg1aQc4S+1R63XcP65Zfh2qkry8qPYLqXi36cmoU+24Pxzy7CeTsSRauFk/zmovfXuWVdxs3YCCiqNhqTfDlH2nW541g5HsTuInb6dtHWnUOk1BD/aBL8eNcjYc4mYKZvRBnlhORGPZ70yhI9rj8bHwNnhiwgecRc+LV1ds2eG/kLoUy3wvqvCDc9DF+5D1V+H5Pr87dFpGIyh7tfaCF9s55JumvDEfLaJgEF1caRZ3e/lVDDVq0k5vJuWJ+q9dbmOUYiS6Kx5I3vTZmF1phGhb0xL/xfRqPT8GT+aSM9OnMhYTqrjMtW9+tDE9wn+jB9Nkv0MViWVhTED0Kt83LOu9qZ+D4BapcGUsYwOAW8Rqq+NU7GzK3UGZ83r0Kj01Pd5lKqe3Ymy7GFH6lQ81EEk2k8QpqtHK/+X0at9+D1uBI18R1De0AKAZXHDaOr7pDtp+H/emjDuC1ua6/NPd8YQrK3hfu1zpShoTglPhL4JZQ1N2Zw0OdttTBm/EunZyVX7S6XC6kzDqThQqzQk2k6iwYBBnfP9SxQeGdIqJqznkoidto3yn/amysLBOJMtJP9+xP150qKDlH2nG5VmDSJp0QEcqRYqTOlLxW8Gog3zpuqvQ66bYp6y3IQz3ULFGQPxqOFKJBJ+2of1VAKR8+6n3Me9iJ2+jcxD0a4YTicSPLQJVZY8DIpCwuzdAPh2rkbaupOubc4n40gy49WkXP7/EJwKGh+9+6XaQ5slibmR1PWnsCdkEnBvvRt+fqOCqbktVipESZZsP8eu1K/oGvgxg0IXYFFSOJ7xh/vzo+mLaR/4Nn1CvuVI+iIszlS6B39B7+DpeKlDuS9s6XVTzE9krsDqTKd38NcE61yJxMH0+STZT9E/9Ee6BH7ErtTpxFoPAZBkP00DnyHcE7oIUNifNgeAyh6dOZvp+uKRYr+AxZlEGX3jfP8ZZFcUNCc3u084FTvHM5ZT08tVKzBMVxetysC6pFfZnzaH9UlvUMmjAxqV7vZPQOQL6eEpJtJ3XMCRkMHZEYsBUOxOtGFXVy4OuLceunDX6sqaIC+cadabVivXVfAn9KmsQ0hpm84QPKQxag8d+nL++HasSvrmM3g1q4ChapC7DpVfTyPxc64mPGeHLUKxOUjbcArfzlVR5VCjKq9DWmp/DxxpVjR+Hq6fgdmOSp39TceemEncjO2U/7xPtjen/CiYKkRJdtmyk0xHAn/Eu1YGdioOvNVXe1Jred+Dj8ZVasZTHYTNmXbTauV+2go09Xsyy3vnzZuo7zMErcoDX205Ij06ct6yhbL6pgRoqxCmd30pqerZ42rC49mZ3+OG41BsnDVvINKjE2pV9jWq8jqk9V9R0P96WxyKBdVtft+/ZPkXP21Fd5FTtUpL9+AvOZm5knibiUxnPPV9Hr6tY4j8JQlPMeLdsiJl33YNuzitDhSbw/2Zvvw1s5VusYPCs342qyZn1/7aZ+sUxZ1s6MJ9MFQOJH3HBVI3nCL8hZxryOR1SMuzbjiZ+y6jL+uH4lQwm+IIHNww2+0zdlzAkWzm3BOuLm5npg0A26UUgh9tnK8FU4UoycoZWtAh8C0AHIoVh2Jzf+arubXZStcK0924R/VWbi4KTndFdW9NGAHayly27OCceQPN/cfmeNy8Dmn9VxTUV1sWRXESZzNRx/vBXO/nWqfNa4n06JDlPQ+1P3W8H2BL8odU9+yDn/bGw/6iaMiQVjHh3aw8GXsvuyqbOxWiP9xAwve7rm6QTU+Hxt+AI9mCM8OGYnfiSLXkeByfNpEkLTmE02zDdimF1HWn8G4dCYDlZDwZ+y6j2J0krzyG5zVlJny7Vidx/j6cmXY8aoZms/fb49/LSPysnaTvvEDcN/+i0qnxqBmW7fZ+3apTbcVjVP11CFV/HULg/Q0IvL8BEa91KpCCqUKURBGGpkRb95JiP4+iONma/BH7035wf67KJkkxqP2xKCnYnBk4FTsWZ2qOx6ng0YajGUuxK2ZS7Zc5a15PBUMrABLtp4i27sep2DmZuYpwfUN3u8qenTmU/jM2JdNd6yq/VfPsyd7U77lk2cnutJloVLrbOpZTcXDBsvWGdcZS7Be4YNlCQ9/HbidkUQCkh6eY0FcMIHxsGy6OW4Uz3YZn/TIED2ty03ZqLz3BQxtz5pGfcVrsREzsnO3DxABBDzUgNtnMmcE/o9JrCB3VHM864WTsuYShegiJP+3l8tFYPBtEEDTk6li6b/vKxHy+meBH8398/T+e9SMIfaoF8d/uQO1roOzkHu5eprMjlxA2pg2etbNPgK5VUAVThShp/LUVae4/lrWJE7Ap6YTp6tHAZ+hN2+nUXtT3eZTf4oZgV6y0C3g924eJAep6P4jFmcyvsQ+jUelp7PsEofo6RFn2EKStzsH0n4i3mQjX1aee99Whnkoe7fk3ZQr1fXLfK3yrwvX1aeL3JHvTvkOv8qVj4HvuXqblcU/Q3G8MIfpat7y/BNsxDGq/GxY13Z36DXW9B+OhDsiv8EU+keKh+atYFA/Ni4w9l4j/ficVpvS97jPF7gC1mjMPzqfcp73Rl7v1xQDvFFI8VBSwYlE8NC+iLHvYlzab7sFfXPeZU7GjQs3SuMF0DfwYX20BTIYo4aR4aP6RIS1xU2kbTnOy3xy8W1eSZEcIkW/OmjeyMKY/FQytJNkRBU6GtAQAXo3K4tXo+t4dcM3S8u1crZAjEkKUBmUMjShjaHTDzyp7dqKyZ6dCjkjcqaSHRwghhBClnvTwiBwVxwKbilMhccE+0refRxvkSfDQJugrBWbZxnouibPDF1P9r+FFFKUQIif/X5SzOFAUJ4fSf+aS9V881IE08HkUf22lHAuGipJDEh5R4iTO30fmoWjCX25H+uazXHptNZFz73d/rjicRL23DsViL8IohRAlzaH0BcTaDtHS70XOW7awPnEi/UJ/oI73A9TxvrqS/b602diVnJcAEcWPJDyiyGQeiOLS66uvez/ooYY5rois0qoJf7Et2iAvtH1qEvv1NhTn1YUSE+fvQ18hAPPhmAKLXQhRfMVYD7I+6fXr3q/r/VCOxVDVKi0t/F7AUxNEdXVvdqV+jaJcXSgRshYMFSWLJDwlUML8fSQtPohisePdsiLhL7dHpVVjORFP1IcbsMekow32osxrHTFUDuJYuxn49a5J+paz+PerTcoKE4ZqwYSNbs25p37Fq0EEGXsvoY8MpMyEjujCfHI8fsbeS8RO3Yo9IQOPGiGUmdARjZ8HjlQLUW+vxXwsDpVOTeiTLfDNoSK5Z70yeVqROfB+VzLkzLQRP2sXvh2rupMdy8l4kpcfpeLMgaT8eSzX+xbiTnYofQFH0pfgUCyUN7Sgpf9LqFVaEmwn2Jr8ERnOWDzVwbTxn0CArjJzojpQzbMXFyxbqeHZlxOZKwnSVeMu32dZmfAM4fr6RFn3EqCtTGv/ce4yDNmJtu5jR8o0Mp0JBOuq09p/PAa1HxZnKpuS3yXBdgw1Opr4jiLSM/sq5mH6unlakbm2930A2JyZ7EubTaRHpyzJDvxfwVBRoshDyyWMI9VC3NfbqDi9v6vIp1qF9UwiAEm/HSagX22q/voIvp2rkvDDbnc7v27V8e1ajcx9l6n0/T2kbz3r2l98Bt5tI6my9BEMlYOInbIl5+Mnm4l6ey1lXutElcUPow3xJmHuHgBSVppQnE6qLH2YcpN7kLb5TMH8EK44/9wykn49ROCVwqGK3UHU5PWEv9gOjU/OdcaEEFlZnKnsSp1Or+CvuCdsEajUJNnPAHAsYxk1vPpxb9gSIj06sT99jrtdFY+uVPboQoxtP3eHfMcFy1YAMp3xVDC04d7QJQRoK7MjZWqOxzc7k/kn6R3aBEzgntBf8FKHcCDtRwBOZq5CURzcE7qYjoHvct6yuWB+CFesThiNKeNXannfk+X9/y8YKkoW6eEpYdTeegw1QoiZsgXvu8oTPKypu0cm9KkWpK4/RfRHG0nfcR5dmavfQDwbRJCx5xKe9cu4io5eWW9S7WvA78qUc/8+Nbkw5o/rjnmtzEPR2BMzuTDmdwAUh+IuNeFRO4yEn/YRN+NfPOuFU2Zch5z3lcchrf9UmjmItM1nuDhuFVUWDSZ+7m4865cpmEruQpRyepU3Qdoa7Ej5krKGZjT0eczdI9PE90nOWTawNfkTLln+xUdTxt0uXN+AKOtewnT1rvR6KFf250tlz84AVPfsxeqEnOtkxVkPYXYmsjrheQAUxUHwlfIPobraHEqfz+60bwjT1aOV/ys57iuvQ1r/6R3yDefNW1ibOJ5BoQvdFc//v2CoKFkk4SlhVGoVFb/uT+aBKDL2XubciMWUndwDj1phnBu1FM8GEfi0r4x3y4okLtyfpZ3rL/+3YOc1K20rTgU0N1/Q01A1iEozB7na2B04M10PB3vWLUOlWYPI2HOJlNXHiZ+1i4rfDsy2knleh7RS15/Ct0MVAHxaRxJlW4c9IYO09adxJGWSuvake9uT/edQ/uPeGKoF5/o4QtxJVCo1PYOnEWs9SJR1L8vjR9Ix4F1CdLVYmfAkYboGVPRoS3lDCw6nL8zS7srfsuxPwZnl7/8/NHQjgdoq9A75BnD1ptiVTABC9XXoE/wtUdY9nDKvZl/a9/QO/ibbe0teh7TOmjdQyaM9ABU8WrEp2UqmM8FdTf5GBUNFySFDWiWM9UIyZ4cvxlA9xDUdu3IQ5qOxOFMtWE8nEvRAAzzqhJPy1/Fb2p8zzUrK6uMoikLK8qNZCobeiGedcOxRaWQeiAIg/vtdRH+wwfX32btI/Hk/vh2qEPJEcywn4lAybTntLk+Slh5yJ3NpW8+h9tajDfUhcs59VF32qLuYKEDVX4dIsiPELUixX+CP+McJ1FW7Mh07knibCYuSSpL9DHW8HyBUV4dT5r9uaX82JZ1TmX+hKArHM1dkKRh6IyH6OqQ5oomxHgBcM6G2JH905e8/cDjjFyp5dKCxz0gS7CfcyVB+OpqxlMPpvwBwwbINvcoHb7WrBzungqGiZJAenhJGX94f3y7VOPPoQrA7MdQIwa9rNTR+HgTcV4+zjy9B4++BT+tKmA/FuOpg5UAb6k3GjgvEfrUVQ+Ugyrya/YOAABp/DyLe6kr0p//gSDRjqBJE+PgOAPj3q03Ue+s4NWAuaNWEPH4Xai99fp26W5lX2hP1wQYSftyDrqwfZd/rfrUHSwiRJ37a8lT26MyyuMdQsBOkrU5lzy4Y1H7U8rqX5fEjMaj9qWBoRaz1ME4l52UfvNQhXLLsZGfqVwRoK9PGf0KO23uo/Wkf8CbbUz7H7EwkQFuF1leGrmp49mVz8mQWxQ5ChZZGPiPQqb3y7dz/08rvFbakfMDB9Hn4aCLoGPiOu2cqp4KhomSQ4qH5q0QVD7VdTuX86GVUWTi4qEMp8aR4qChgJap4aJr9Mn8mjGFQ2M8331jkSIqH5h8Z0hJCCCFEqScJzx1MF+ErvTtCiHzno42Q3h1R7MgzPCLPzgxZiCPFDECZ8R3wbl6xiCPKX3Hf7SD59yPgUPBpX5nwF9sVdUhC3BF+ixuKxZkMQGv/caXuQeG9qbM4lvk7iuKkkkc7Wvi/UNQh3REk4Snm4mbtBCBkWNMijuR6TrPtumnlmYeiif5wA45kCwH9axM8tEme93+zIqGWk/FcfmstkT/cfF2NnDgtdhJ+2EXmgWh05f0JGd4UbYg3IcObETK8mWua/UrTbR1DiOJmb+r3ADT0fayII7me3Zl53bTyWOshtqZ8hMWZQg2vfjTwefS2j5NfBUyjrfs4lL4Qh2Khimc3qnp2y/L50fSlnLdspmvQxwA09B1GQ99hRFn2cDJz1W0dW9w6GdIS+cZptnHp1dUEPdyIKoseImPvJdK3n8vz/hLn7yPzoKtIqEetMC69dnWRQvPxOC69uhpnpvW2446duhVHqpXw8R3Q+OiJujLNXghRPNgVM+uTXqeu98MMCl1ItHUfFy3b87w/p+Lg35QpnDavve3YUu2X2Zw8mdpe99DIdwS7U78hznrE/Xm6I4Z9abNp7jfmto8lbo/08NzBbNFpnHtiyXXv+3WpTugzLXO9v4w9l9D4GfDrWh2AgIF1Sfn7RJ6HunIqEpq08AChz7QkZsrtLzGvCfQgaHAj1AYtfj1qcHH8n7e9TyHuZOmOGJbHP3Hd+1U8utLU76lc7y/Ksge92o8qnl0AqOk1gNOZa/I81BVl3YNGZSDSI+dlOG5FpjOepr7PUMbQCHCtCp3sOEsItQDYlvIpNbz64qctf9vHErdHEp5CkLzSRPq2c5Sd1BWApCUHMZ+Ip8zL7bFFpxL13nqs55JQe+sJf7EtXg3L5ri/Y+1mUGOj62Zy7dRyp8VO7LStpG87h0qlInhEM3fycSO6cJ88rXScHXt0Ggbj1TUq9GX9sJ1LzvP+cioSGj6hA/aotNsL+IqQYc0AcKSYSfhxD35dq+XLfoUoaCczV3HBso32AW8CrqGTBPsJWvm/RJojms3Jk0mxn0en8qKF/wuUucnif3OiOjCkzHog69Ryh2JhZ+rXXDBvRaVS09BnuDv5uBFvTVieVjrOTrozhmBtDfdrH00EKY7zed5fhL4JZQ1N2Zw0+bZjC9PXBUBRnERZ9xBnO+ruzTlrXs9FyzZUqNmY9Da1vAYSqq9z28cUeSNDWoXAt31lMvddRrG5FgFM23QWvy6uX6opK4/h1aQcVZc+QsiwpsRNz3s3bcK8PSh2J5XnP0j5z/oQ89km7En5vxpptpxKlqKdKg8tjjTLbe/2/4uEAtkuKZ9XjlQL555YSsbOi/j1rpmv+xaioFQ0tCPaug+H4lrR/LxlM1U8XInIycxVROibcG/YYhr6DGN36ow8H+dA2k84FBsDQn+ia+Cn/JvyOWZnUn6cwi1RFCd6tY/7tVblgdWZ9y88+X3/ADiUsZC1iROo5NEeT00QAHtSvyNMV5/qnn0I0FZidcJYUux5T9TE7ZEenkKg9tLjWd9VvNOjTji2i8l4XunFCXq4IWn/nCHmi81k7LyA05Lz6qXXuWbhyPSt57BdSiV9i6sSOk4F69kktAGeN2ya30Naan8PHEdiroZmsefLCsj/XyRUpdPc9j7/n8bXQOX5D5K4+CCXX1tNpVn33LyREEVMp/YiXFefaOteQnS1SXVcJFzfAIB63oM5Z9nEvylTuGzZhV0x52rf1y5Je9GylVTHZS5Ytlz5zEmy/Rwe+oAbts3vIS2D2g+r7WqC41AsqIrZ9/W63g9QzbMHf8Y/xzlzfUJ1tUlxnKdT4GT8tOWpQCuirQe4YNlGbW2Fog73jiQJTyHx7VKN9C1ncaZa8Glb2Z0IXBz/J2ovHX7dquPXvQaXJl5fPTwntpis33LKvNoRn1aVAHCkWVAbsv8nzu8hLc864cTP3IGiKKhUKjIPx6C9pmJ7bmVXJFQXnvd9/j+n1UHGv+fxaRMJgF+36sTmw3NBQhSWyp5dOG/ZgsWZSkVDW3cphHWJr6JVe1HFoytVPLuxIfGNXO033Rmd5XUb//GU92gFgNWZhkZluFEzIP+HtEL1ddiT9p373hJrO4L3lYKeRS3edhy9ygtfbTk81AGUNTQj0X6KCH0TQJWlsrxWpUev8sl+Z6JAFa8UuRTzblGRzP1RpG0+i+81z4hk7o8ioH8dvJpVIGX1sVval9pbj+1SypVp21cronu3qEjyH0dxWh3Y4zM4/eACrOeS8vtUsqUr44uurB+x07aSsesiCXP3uIfu8iK7IqH5SaVTEzt1K6kbTgGQuuYEHnXL3KSVEMVHOUNzYqz7OW/ZTGXPzu73o237MXr2payhKaczb63gp07lTar9MorizFIRvZyhBcczl+NQrGQ64lka+xAp9rzPwMwtH00ZfDVl2Zn6FZctuzmY/iOVc3iGqDAl2U+yOfkDrM40LM5ULlr+JVRXx937djxzOQAJtuNEWffetIiqKDjSw1NI1HoNhhohmA/H4GEMdb8f/FgTLk38C42XDt/OVXEkmXGkWtD4Zv/tKXhoEy6OW4U2xBuvu8pjORUPQNDDjYj9cgunH/gJlVZNyPCmGKoWbqXwiImdiJ2+nZipW/DvUxO/7q4HDVPXnCB142n3g9u3Ii9FQhPm78MRn3HLQ3IqlYqISV2I/uQfYj7dhKFqEBGvdbrlGIUoahqVnmCdkVjbYYJ1Rvf7DXyGsiHpDXRqbyI9OmFRkrE6U9Grs+8hbeDzKGuTxuOlDnH1VNhOAlDPZzA7UqayJPYh1Gho6DucQF3VAj+3a7UNeI1dqTPYmTqNap693WvdnM5cyznLRveD27drYcwA+gR/i5fm1u6dVTy6k2Q/w69xj6BBT23v+yhrcK2b1ibgVbalfMq+tNmo0dDc73l8tRH5EqfIPSkemr9KVPHQ25WblZYdKWYSFx1wz4gqKJaT8WQeiiagb+3b3lduVlqW4qGigJWo4qG3KzcrLVucKRxJX5xvCyjuSPmSJr5PoVbl/7OC/8nNSstSPDT/SMKTv+6ohCc3rOeTUXlo0YV6F+hxzEdi0EcGovbUFehx/p8kPKKA3VEJT26k2C+gVRnw0oTefONbEGXZ415TpziQhCf/yJCWKBT6Cv6FchyPWmGFchwhRPGQ3wv6FadkR+QveWhZCCGEEKWeJDxCCCGEKPUk4RFCCCFEqScJjxBCCCFKPZmllY8sij3KoNIWj+U/RaGyKPZog0orKxaKAmGzKFE6g0ruLXcgm0WJ1hlUcm/JB5LwlFJGo/EhYDLQwmQylZr5rEajUQVMBaoDvU0mk62IQxLijiL3FlFSScJTChmNxjbAUqCTyWQ6UNTx5Dej0agFlgHngVEmk0kuYiEKgdxbREkmz/CUMkajsRqwCHikNN6QAEwmkx14AGgJZL9EqRAi38i9RZR00sNTihiNxiBgK/C5yWT6uqjjKWhGo7EirvN9xmQy5V9pZiFEFnJvEaWBJDylhNFo1AN/AntMJtPYoo6nsBiNxqbASqCXyWTaUdTxCFHayL1F7i2lhQxplQJXHrb7BkgBXiricAqVyWTaCTwO/HrlW5kQIp/IvUXuLaWJJDylw3igHvCQyWRyFHUwhc1kMv0KfAr8YTQa/Yo4HCFKE7m3yL2l1JCEp4QzGo33A6OAu00mU3pRx1OEPgW2AD9fmWkhhLgNcm9xk3tLKSHP8JRgRqOxJa4plF1MJtO+oo6nqBmNRh3wB3AC18OGcnELkQdyb8lK7i2lg/TwlFBGo7EKsAR4VG5ILlcWCrsPaA+MLuJwhCiR5N5yPbm3lA7Sw1MCGY3GAFxTJqeZTKapRRxOsWM0Givh6oJ+0mQyLSvqeIQoKeTekjO5t5RskvCUMFe6VlcCh00m03NFHU9xZTQa7wKWA91NJtPuoo5HiOJO7i23Ru4tJZcMaZUgV6aIfg2YgeeLOJxizWQy/YvrgctlRqOxfFHHI0RxJveWWyf3lpJLEp6S5WWgKfDgnThFNLdMJtNiYAquKaW+RR2PEMWY3FtyQe4tJZMkPCWE0Wi8B3gG6GMymVKLOp4S5CNgBzBfppQKcT25t+SZ3FtKGEl4SgCj0dgcV3dzP5PJdKGo4ylJrkwffQow4FpPQwhxhdxb8k7uLSWPJDzFnNFojASWAsPlAbm8uTKl9F6gs9FofLao4xGiOJB7y+2Te0vJIglPMWM0GpsajcaBV/7uj2s2wIcyBfL2mEymJKAPMN5oNPYGMBqNwUaj8YUiDUyIQiL3loIh95aSQ6alFzNGo3EacBr4AtcN6Tiysme+MRqNLYDfga7AWeAcEGwymaxFGpgQBUzuLQVL7i3Fn/TwFD8dgPXAVMAOjJYbUv4xmUzbcI27LwO8cC0V37RIgxKicHRA7i0FRu4txZ88WV6MGI3GMKAc0AloCbQBKhuNxjSTyXS5SIMrBa6sNdIS13ML1XB9G9uM6xfBlqKLTIiCJfeWgiX3lpJBeniKl3a4vhWMBj4HFgGbgPpFGFNpYgDeB05deX0EuAtXfRwhSjO5txQsubeUAPIMTzFiNBoXAgOAGOA8rq7nX0wmk6VIAytljEZjY+BpYCCurv0AwOvKjAshSh25txQOubcUb5LwFCNGo/EAEAu8YjKZdhR1PKWd0WgMxnVzegloajKZTEUckhAFQu4thUvuLcWTJDxCCCGEKPXkGR4hhBBClHp5nqVlUWxRBpUuPD+DEcWfRbFFG1S6Mnlt77ApURqdSq6bUsphU6I1OlWer48b7E+ul1Lsdq8Xm0WJ0hnk+rgT2SxKtM6Qu2vndoa0lFaX3sprW1FCbSk7EUB1G7tQFr2WmE/RiOLmnncC4fauj/8n10splg/Xi/JWq0v5FI0oSSZuKQu5vHZkSEsIIYQQpZ4kPEIIIYQo9SThEUIIIUSpJwmPEEIIIUo9qaVVzCgOJxnTdmFZexZ1GW98X2uNprxfzm3MdtI+2IptTzSaKgH4vt4GdaBHIUUsCppTcbB872fsP/c3gd4R3Nd8EiG+FXNsk5wRw4JtrxKfdgEvvT/9mrxC5dBG7s+jkk+wcNsbPNd93nVtF/37FlXCGtM4sk++n4soWHKtiPzgVBzsypjGWctavNVlaO37Gn6a8jm2sStmtqZ9QLRtDwGaKrTxfR0PdWAhRXxrSkUPjzPNSuaio0UdRr4wLzZhOxRHwLx+eD/eiLT3bl53LuObvShmO4G/DMDQOZL0L3cWQqTFW6Y1lc3HFhR1GPliy/GfORd/kBd6LaZ7vadY9O+km7ZZtX8qDSv1ZELflXSv/xS/bH/T/dmlpGPM2/wKFnt6ljZOxcEfez5h//m/8vsUijW5VuRayQ9WZxpHMxcVdRj5wmReTJztEP0C5tHI+3G2pL130zZ7M77BrpgZEPgLkYbO7Ez/shAizZ1S0cOjpFkxLzqK5z01izoUN0dMOsmjVl33vqFLJN5PNcm2nWXtGTwfrI3aW4e6SRmUr504LqWiKeubfZt1Z/Cb3BGVToOhZ1UyZu1DsdhRGUrFP2+emG2pbDm+gNY1HijqUNySMqL5+u/Hrnu/QaXu9GowOtt2+8/9RTvjI3jovKka3owV+6aQkHaRIJ9y2baJSj5Bx9quY1UNa0aqOQ6n4kCt0rDl2AJ6NRzNH3s+zdLmVMwudBoP6lXoksczLJnkWpFrJT9YlTSOmhdR0/Oeog7FLd0Rw6rkUde9H2noQhPvp7Jtd8ayltqeD6JTe1NG3QSn8jWpjkv4asrm0GYdHf0mo1HpqGroyb6MWdgVC1qVIV/OJT8Uu9+Ilo3nyJy1H2e6FV2jMvi82ByVXkPymL8wdKyEecVJnJfTMPSuhvcTjUge8xeOM8koqVYSBi5G5aMjcE5fADJm7wcF0KowLzuO76R26GqHoNidZMzYg3X9WdBr8BpSD0P3Ktj2RpP+5U7UQZ7YTyaiqxuK98stUPvoSXp8BV7DG6Bv4bpxJA1fjteoxuibRdzwPDRh3gQtGZTr83fGZKCtEeR+rY7wxnE+JduER7HYUVKsaKq5ug5VahXqIE8cUeloK/nn+vjF0aEL6/j70DdkWtOoGt6UAU3Go9Xo+Xb9k9Sr0IWdp38nMe0STav0pUf9Z/h2/ZNEJ58m05rC5GW98ND58HzPhQCsOTQTBdCoNGw/uZTBrSZTIbguDqedP/dP5cCFNWjVBjrVHkajyF6citnF8r2f4eMRzOWkY0SGNGBgs9fw0Pkw9a8hdK07CmNEKwCmrB5Mz/rPUb1M8xueR4BXOOP7rsj1+SdlRFEu8GoyH+hdltjUszn+EisbaGTHqV/pUvcJtp1YRLXwu1CrNAAMavY6SRmXr2tTNawZ1cLvYtG/JXd9LblW5FrJD+csG9mfOQurM50yukY093kRjUrPX8ljqGToyEnzCtKcl6lm6E0j7yf4K3kMyY4zWJVUFicMRKfyoW/gHAD2Z8wGFFRoOW5eRjvfSYToauNU7OzJmMFZ63o06KnnNYQqhu5E2/ayM/1LPNVBJNpPEqqrSwvvl9GrfViR9DgNvIZTTt8CgOVJw2nsNYoIfbMbnoe3JoxBQUtyff4ZzhiCtDWu7kcdQYrjfLYJj12xYFVSCNRUA0ClUuOpDiLdEYW/tlKuj19QitWQluNcChlf78bv404ELuiPkmLBvPyE+3PzEhO+b7XDf2YvzIuP4ky14P95V/yn90Ad6kXQkkHuZOc/lpUnUdJt+H/VA63RlUhkLjiM43QSAXP74vdhJ9Jn7MF2OM4Vw5lkPIfUJfCXAa5t5xwAwNCpEtb151zbXEjBmWRG17gAFvh0Kqh89O6XKg8tSloOhXadoPLQoNKq/6+NNf9jKwKxqWdZuW8Kj7Wbwku9l5JhSWbH6d/cn289vpDBrd7nmW5z2HL8ZzKtKYzo8DVPdZmFv1cY4/uucP8C+8/u079jtqXzZJfvKHvll8NG01yikk/yfI9fGNruc1btn8q5+IMARCefolPtYYy7+w8UFNYe/g6A+hW6cuD83wDEpZ4j3ZJE1fCm+f4zUBQFD72P+7Ve64HZlpZjm7Y1HmLfudXM+ecFthxbQMfaw92fqVQ3Xqsru/dLCrlW5FrJDymOc+zO+JpOfh/TP3ABFiWFE+bl7s9N5iW0832LXv4zOWpejMWZSlf/z+nhPx0vdSiDgpa4k53/nLSsxKak08P/K4K0RgAOZy4gyXGavgFz6eT3IXvSZxBnOwxAsuMMdT2HMCDwFwAOZLr2V8nQiXPW9VfivIDZmUS4rnG+/wwUnOhVV68jrcoDm5LTdeREo/JArdJmaWPNsU3hK1Y9PNZdl3EmmEkaudL1hsOJOszL/bnHoJpowr0BUAd5oKTbwDfn7jJ1eV+8R2W9IKybzuP1SD1UHlo05XwxdKiEbfMFdM0i0FQJQFcvDABD9ypkzHUlPPrOkSSPWIFic2DdcA5Dp0hUmuzzxbwOaan8DK5kxe/KeVkcoM7h5uKhQXGCYne6kx7FYs+5TQlyIvpfUs0JTPvrUQAcih1/r6uJZqvqDxDg5Vpd3NcjGLMtDU99zg95B/tWpGeDZ7O8d+TiRjrWfgy91oNgn/LUq9CZo5f+oVr4XZQJqEalkAYANI7szbrD3wNQv2I3pq5+BLvTxqEL66hfoav7m/GN5HWYwsvgj9mahpfe1WNnc5hRq7K/9pyKk4Xb3+SJTjMJ9ilPcmYMM9aM4Mku3+PrEZz9D6aEk2tFrpX8cNm6C7MzgZVJIwFw4sBLHeb+vKbHILw1ruvKQx2ETUnHQPaPHAD4qsvT2Dvr0NJ56ybqeT2CVuWBr6YclQwduGDbTISuGQGaKoTp6gFQxdCdAxlzAYjUd2ZF8ggcio1z1g1EGjrleB3ldUjLoPLDqqRhwPX/hwMLqhz6RzR4gOLEqdjdSY9dyblNUShWCQ+AvkVZfCe1A0CxOlBsTvdnmvLXXlS39gtdVz/sxh9k1/zaShuKgupK4qAJ80ZT2R/bzstYNp7HZ+xdOR43r0Naujoh2PbHoinri+JUsJvi8Xigdrbbq1QqtLWCsR+MRdcwHCXThuNsijsxLA2MEa14qNVkAOwOK3bn1R6vYN8Kud5f5JVfSNe78UVxbfkVRVHcv0ACvMIJ96/CiajtHLy4jn6NX8nxuHkdpqgYXI8zcXsJ8imHU3FyMeEo7YyPZLt9uiWR5Mxogn1csyr8PcPw1PtxOekYvmVa5vr4JYlcK3Kt5Iey+ha083U98O1QrDiVq9eR7zWzlW71a2WYrn42n9z8F5GCgurKdeStCcNfU5nLtp2ct2zkLp+xOR43r0NaIbo6xNr246spi6I4ibebqO2R/TNuKpWKYG0tYu0HCdc1xKZkkuI4604Mi4tilX7pm0Rg2xuD43wKilMh7eNtZP6w/+oG2fRaqP0MOFMsKJk2FIcTZ6ol5+O0qYB56TEUsx3H5TQsG86ia+26iB2nErHtj0FxODGvOoW2wdV/MEPnSDIXHEHJtKM1Fsy3H0OvqmTO3od112Uyvt0LOg3amjkfy6NXVdKn7sK2L5r0z3egrROCOsizQOIrbNXC7+J07G7iUs/hVJws3fkeaw9/6/5clc0Nw0vvT4Y1BYs9A4fTTqY1Jcfj1CrXjm0nFmG1m0lIv8SBC2upWbYtANHJJzgTuxeH087uM8uJvGbKbv2K3fjHNA+rPZPyQbXy4Yyv16RyH9YcmsmJ6H/568DXaDU6ygVlnwS7vt2r2H5yMbGpZ9l+cglxqecI9Y0skPiKC7lW5FrJDxH6JsTY9pLiOI+iONmW9jH7M39wf55dr4VB7YfFmYJNycSpOLA4U3M8TgV9G46Zl2JXzKQ5LnPWsoHyutYAJDpOEWPbj1NxcMq8inDt1cQ70tCZI5kLsCuZBF8ZHstvVQ292Jc5m8vWXezN+BYNOoK1OU8KqurRi13pU4m27WNH+ueEaOvgqQ7KsU1hK1Y9PJqKfng/34yUV9ejpNvQ1QvDa2h2mfFVKi8dXkPqkTTkdxSrA5/X2mT7MDGA5wO1yUi2kPTIMtBr8B7ZCF3tEGx7o9FUCyJz/iHspgR09cPwfLiuu52+fUXSp+zE85F6+XK+N6KrF4bXqMZkfrcPla8e33fbu3uZkkatxHt0M3S1QrK0MXSpjJJmI33abjQR3viMb1Vg8RW2UN9K9G38MnM3vYjZnk5kSAM61x5x03YGnTedag/j81X3Y3NYuL/529k+IArQzvgIGZZkPlt1L1q1gR71nqZicF1OxewiIqAGG01zuZBwmMqhjehQ6+pQQ93ynfhjzyd0rD0sX873RiJDGtKj/rP8fXAGHnpfHm79kbvn4Ku/H+Puxi9SIaiOe3uNWst9zSexav+XLN/7OZ56P/o3GUegd/b/T5QGcq3ItZIf/DQVaeb9POtTXsWmpBOmq0d9r6E3badTeVHPawi/Jw3BoVhp4/Natg8TA9T2fABLRjLLkh5Bg55G3iMJ0dUm2raXIE01DmXOJ8FuIkxXn7qeD7vbVdS3Z2f6FOp5Zt9zd7vCdPVo7DWKfZnfoVf50t73XXcv08qkUTTzHk2ILmvSXtnQBZuSxu70aXhrImjlM77A4ssrqZZ+DdveaDJm78f/867XfabYnaBWkfTwMvw+6oSmXM5jtqXVnVYt/VTMLtYe/pYRHb6+7jOH045KpebTlffwWLsp7mGBO9mdXC1drpXck2rp14u27WV/xmy6+n9+3WdOxY4KNcuSHqaT30f4arKffVfaSbX0AmTdeI7EAYvRtyp3xyY7IqtDF9cxeVlPapVtK7/ARI7kWhH54Zx1I4sTB1BO3+qOTnbySnp4RK7caT08Infu5B4ekXvSwyPySnp4hBBCCCFuQBKeK9Le34p51cmiDiMLxamQOf8QyWP/JvXtTTjOJbs/s269QOLg30i8d0mWxRlF4Vv071vsPvNHUYeRrcU73mbNoZlFHYZArhVxc1vT3uek+fo13IqSojg5lDmfv5PHsin1bZId59yfJdlP80/qm/ydPJajmYu4jVGjAicJTzFm/vkwtkNx+LzQHG3NYFInbgTAEZtB6tub8XmlJQE/3I15iQn76aSiDVYUS0cvbWL3meU331Dc8eRaEdk5bP6ZONshmvu8QLC2JhtTJwKugqkbUl8l0tCFpt7PcsKywr0SdHFUrKall1a2g7HuZOVang/VybngqUaNz9i7UAd54tG7GhnT96A4FWybzqOrH+ZeVNHQowrWdWfRVg4ooDMQReVs3H5+2jLuuvfb1Rxy02KXGdZk/tj7KXXLdy6o8EQxIteKuJlY20F3snKtOp4P5Vj0VI2Gu3zG4qkOoppHb/ZkTEdRnGQ646nrOYQK+jYAROiaZun9KW6KdcKT+fNhzEtMKBYH+hbl8H6pOSqNGvuJRNI+3oYzNgN1sCc+41uhrRxAfMd5GHpVxbr1Ih59q2NZeRJNtUC8n21K8jOr0dUPc621E+mPz/hWaEK9cjy+bV806dN240zMRFs9CJ9xLV2LHKZaSHt3C/bjCah0aryeaIyhY/YF0nR1Q/O06rLnfa51DpRMOxmz96PvWAmVWoXj/wqMaiJ8sBw+k+v9l2b/mOax9fhCbA4LxohWDGg6AY1ay+Wk4yzd+R7JmTH4egRz711vEu5fhVd/aUGTyndz9NImmlcdyK7TfxARUJ0+jcYyY+1IIkMbcjpmN2H+Vbin2UT8vbJZwfuK07F7WLH3c1LNCZQNrME9d03ES+9PpjWFhdvf5FKSCa1aR4/6z+RYcbpSSP08rbgL8Pvuj2lZ7d6b1lK608m1ItfKzRzO/BmTeQkOxUI5fQuae7+EWqUh0X6CbWkfk+GMxVMdTCuf8QRoKzMvviNVDb24aN1KdY++nLSsJFBTjabez7I6+RnCdPWJtu3FXxNJK5/xeGlCczx+tG0fu9OnkelMJEhbnZY+464sdJjKlrR3SbAfR63S0djrCSoZOma7n1Bd3TytvFzL8z4A7Eom+zNmU0nfEZVKjb+2krs4aLzdxAXrZtr5vp3r/ReWYjuk5Uy1kDF9D/7TursKearAcdr1DIv59+N49K1B0OJBGDpWInPuQXc7Q9fKGDpHYtsfg/+3vbBtvQiAEp+Jvk15AhcPRFs5gIwvd+Z8/GRXUuMzoRWBCwegDvEkc94hACyrToFTIXDRQHzf6YB1y4UC+im4JI/5C/Nvx6/2BilZC4zieZMCo3eYTGsKq/Z/yajO3/LK3b+jUqmJSTkNwL8nl3BX1YGMv3s59St0Zd2RWe52DSv2oGHF7pyJ3cuz3eZiurwZgFRzHLXLtmfc3csJ96vC8r2f5nj8DEsyv2x/g3ubv8krfZbh5xnGhiOulVp3n1mOojgZ1+cPHm79EUcu/VMgP4ODF9aSZk6gVfWcv9nf6eRakWvlZizOVPZkTKe7/7QrxTxVJDtc18hx8+/U8OjLoKDFVDJ05GDmXHe7yoauRBo6E2PbTy//b7lo2wpAphJPeX0bBgYuJkBbmZ0ZX97k+MlsSXuXVj4TGBC4EE91CIcy5wFwyrIKBScDAxfRwfcdLli3FMwP4Yq/ksdw3Pzbdb1Bpy1/syblBYK01QnQRBZoDLej2PbwqLz1aKoHkT51F7pmEXgOa+DukfEe1RjLhnOkfbId247LqMtcrRulvdKLo6sbitrX4C5JovLVY+gUCbjKN6S8sCbH49sPx+JMNJMy1lXhGIeCtqarV0VbO4TMBYfJmLkXXd1QfF5ukeO+8jykdUXAjJ5Yt1wgZcJ6An/uj/q/AqP/MTtAUzqKheYHg86HsgFGlu/9jGrhzelSZ6T7W3bPBs9x8MJaft31PsejtmVZUTYytBGnY3dTKaQBnno/lCsXj6fOj/oVXYtRNq18N99tePb6g17jXPwB0swJfLf+aQCcioNyV0oJVAiuy0bTj6w+8BUVQ+ozsNlrOe4rL8MUaeYE/tz/FcM7TC3VVa3zg1wrcq3cjF7lTZCmOrvSpxKha0YDz2HuHpnG3qM4Z9nA9rRPuGzbgbe6jLtdmNbVixOqq4tB7ct/v4z0Kl8iDZ0AVwmHNSkv5Hj8WPthzM5E/k5x1c1ScBB0pcxDiLY2hzMXsDdjJqG6urTweTnnfeVxSOs/PQNmcMG6hfUpE+gf+PP/2rvz6Kjqs4Hj3zv7TCYkIQlrgITdBEKUyqaICEJBSwW1R4tHEStaet7W17Yurb56PLX1dTlVj2Cttgdt0VpRW4ssBRdetpQlkLAJsoQlZCEhyewzd+be949pA2EZksmQxMnz+W+Sub977+Eh89z5/X7Pg1ExA9EqyzmWCXzp+gX7Ax+1aKyO0HkTHoNC2qJphHefQi2toXHBClKfvR7T8EwaF67CVNgDy8R+WMb1xf/BvmbHAef33dLOWjmu6y3qJm4cmE76GzOih4Q19EAYAHNBNulvzkTdWU3wn0ei1ZnfmHHRPxjxTmkF1x3DOqk/AJYJORDahHY6gKkgC9+SXU3vC++rxZBEzULbyqAYeGDKWxyrLePIqRIWrb2Hu655gZzu+bz+2X3kZhdR0Pd6hvWewMYD7zU7Djjv31HnTANbDT1m9+n/6Jk+mB9NXQJEq+yGwn4g2tzxv258h8M1Jew8uorP9rzJj6a+fdHYiWea4mD1FnyhBl5fG21h8J9zn/ZUcPvYp1s1VrKTWJFYuRRFMTAtbRGnwrupUUtZ0biA61OfJdM0nFWNC+lhKqSfZSJ9LePY5/+g2XFwfu+ts2NER29RR/F040BmpL8BRKsth/UAANnmAmamv0m1upMjwX9S5lvCjLQ3Lhoj8U5pHQuuo791EgA5lglsIkRAO02EEBE9SIZpMGbFQT/LtdRHOtdu57N12imtSIWbxvtXYhycgf3ukRhz0wnvr0N3h4iUN2K/Ix9TQTbBNUdaNJ7uVQmuOYKu6wRXHMI8Kva8uik/G63ai7qrBgD/kjK8zxcD4Ht7F/4PvsIyqT+OBUVEDtaDP9y2G76AwN8ONCVzoeIKFKcZQ7YD08geaHV+/O/vJbTpBIF/fI31houvIepq6jzHWbTmbnqnD2Fy/n306JZHRf0+AiE3Na7DTBx2F/0yR7Lz6OoWjRdQPew8ugpd19l+5BPyzmoIeSH9M0fS4K3iaG0pAJ/teZOPtz0LwOd7/8CGA+8xot8NTB+5kKqGrwmFfW274XMUDfg2T96ylsdnreDxWSu4dtj3uXbY9+UD7AIkViRWLsUdqWBl4/1kGAcz0n436cZc6sL7CeluGiPl5NvvINtUwJHgmhaNp+pejgTXoOs6h4Ir6GEeFfP92aZ8vFo1NWr0IbfMv4Ri7/MA7PK9zVf+D+hvmUSRYwH1kYOE8bfthi/gQOBvTclcRagYs+LEYcjGr9Wxwf0Mfu00ET3E8dB6sk0jLjFax+m03/AY+6ZimZpLw/xPIaxhGtId65RcDN2s2G4bTuMDK1HSrFgm5BDeVxvtdRWDIcuOuq0S7+slmPLScT4+Pvb706ykPj0R78tb0RoCmAamk/JI9BjbrCF4nttE/W0fgcmA4wdFKA5zwu79P5yPjMPzfDH+d/dg7O0k9VdnGol2e34yvtdLCH5WjmPBlZjP6ure1WU6+1HYfxqvrJ6Lpofpkz6MUf2n4bCkcc2QO1i8Zh4OaxpX9JnI8brdRLTYyWo3ezYHq7ewsvRVeqYN5LYxT8V8v8Oaxp3jn+WTkhfwBOvplTaoaTpizMDZLNv6DM/942YMiokbR/4Qq1m+nesoEiviUlKNfcm1TOXThvlohOluGkKudQpWQzeG225jZeMDWJU0ciwTqA3vQ9Njx4jdkEWluo0S7+ukm/IYf4kmm1ZDGhNTn2ar92UCWgPppoGMT4lOXQ2xzWKT5zk+qr8NAyaKHD/ArMTejBOPcc5HKPY8zx7/uziNvZmU+isUxUBPcxGDbTezsuEBUGCgdRqDrDMTfv5E6RKtJSJVHlwPrSXjL7d09KV843W11hL13pO89eVCfn7T3zr6Ur4RunJrCYmV1utqrSU8kSrWuh7iloy/dPSlfONJawkhhBBCiAvoEgmPsZdTvt0RcclI6SNP7KJFJFbEpTiNveTbnQ7UadfwdCYN85ajuYIAOB8bj2VMnw6+osTy/bGUwPKDoOlYruuH8+GxHX1JSeOV1XfiC0brR9065kmG9oq9dqwzCqhefrvydgDUSJAfT19KuqPXJY4SrSWxImJZ3jCPoOYCYLzzMfpYxnTwFSVWqe+PHAwsR0ejn+U6xjofTvg5Ok3C41tSBoBjXmEHX8n59ED4vG3l6t5avC8Uo7mC2GYNxXHPyPjH13QC7+8ltLUSQ4YNxz0jMfZPA6JNQr2vbYdQBPu8Qmw3DY77PFp9AM+vNxL+uh5zUU+cj41HsZlwzB+FY/6o6Db7VYfjHr+j/KfZ4ZSC+zv4Ss4XCvvP2yp8rG43H2/7Nb5QI2MHzeGG/PvafJ5lW55hYI+ruCr35jaNc+TUDjYceJdwJEjRgBlcOWAGNnNK0z289eUP0fXYGwQ6M4kViZVYynxLACh0zOvQ67iQsB44b0t5rbqXYu8LBDUXQ22zGOm4p03jb/b8L9XqDtKNA7k29Ulshoy4x6tWS/nK/1fChMiz3shA6zQAInqIXf63OaXuJtWYQ6HjXhyGLEY55jPKMZ9qdSeHg5eneWqXmNJKND0Qxv3kOuxzC8h4fzZqaTWhLfEvnGuvJqGeF4sx9HaS8dGtGPt3w/fOrksfJBIqFA6wdNOjXH/FPTxy0985cmoHB6o2xz2epkdYvuMlyo63bEtsLKe9J/lwyzNcM+QObhzxIKvLFnP89J42jyviI7EiYgnrAda5n6TAPpfZGe9TrZZyMrQl7vF2+n5PWA8wO+MDcq1T2OaNXQE6Fk+kks2e5xhuv50ix33s9L5JrRotsbLdu4iQ5mGc81EsipN/eV6M+zyt1Wm+4bmcIjVeGh88P2O0Ts0lZeHoVo+n7qjGkGrFOjUPANvsYQTXlsc/1dUOTUI1r4pafJKMZXNQDEp0a/+CFaQsiF0npKtr8FXz+tp7z/v5qAHTmTnqJ60e7/Cp7Tgs3RjVfzoA4wbfRumxf8Y9fXG4Zjtmoy1mj6WWcvtrmVn03wzsEf0/0T+zgFOucvp1L2jz2F2BxIrESizeSA2rGh887+e51qmMTlnY6vGq1R1YDankWaP/nsNssykPro17qqs8+AWTu/0Go2JmkHUGpb4/EtaDmBRrq8fya3WMTvkRPc1FAGSZr8AVOUqW+QpshnQK7HMxKhbyrNNZ5/5lXNcbj4QmPIFVh1GLK0h9emL09cf7CR+qx/mzcUSqvXie20zkuAvFYcb58BjMRbFrx9RNXkrmF3OB5lvL9VAE7+LtqMUnwaDgmF/YlHxciLFHSlyVji9Gq/FiPKd5p3bcFfd47dEkVKv1YciyY8iwAUTbU/jC6IEwiq3j896S8k/ZX7mJO8dHi64VH1xGZcMBZn/rFzT4qli25Rlq3cewmlO4ZfSj5GVfFXO8X34wjmdvjxaKPHu7sBoJsrL0VfZXbkRRDNw44oGmD5QLSXf0jLsh44U0+qrok3GmnUj3lL7Uuo/GPd6gHlczuOcYlm1pe4mIAVnR6WRN1zhSs50Tp/cx66qft3ncRJNYiU9XiZXDgVVUqMVMTH0agP2Bj6kPH2Kc82d4I9Vs9jyHK3Ics+JgjPPhpg/li1laN5m5mV8AzbeVR/QQ272LOakWo2Cg0DG/Kfm4kBRjj7iqHF+MV6uhu3Fo02unsTcu7XhcY4X1ICHdRYYxumRCUQzYDd3xRqqamoO2RrY5WnxQ1zWqwzuoC+/n6pSHACh0RB8KgpqLPf6l5FqnxHXN8UjolJb1un6oZTXoagSA0KYTWKfkAtGGm+bRvei+bA6Oewvx/X5H3OfxL90DYY30pbPo9tIUvK9sQ2sIJOIWWkbTMZzVvFOxm9C8oRgHtMxlbRKqnTMWoFiN6N7O0XS0oO/1lJ/aQViLXs++k//X9OFSUv4pg3pezWPfWc7UgvtZXbYo7vOs++odIprKT2d+yPxJr/FJyYt4g+1X50XXdexmZ9Nri8lGIBR/h+rL0f9o44F3+dPGnzEiZzJOW2bCx28riZX4dJVY6We9jhq1jIgejY8ToU1NH6qHg6voZR7NnO7LKHTcyw7f7+M+zx7/UjTCzEpfypRuL7HN+woBrSERt9AiOhoWw5n4MCl2Qpo3ztE0jIoNg3Lm4dek2Ajp8ccbwL7AX/nS9Uv6W67Dbjjz8B7SPKxuXEiVur1dCxUm9NFecZgxF/ZA3VmDKT+LSIUH078rANvnFhDacBzvq9tQSyrRA5HWDX5WfcRQcQVapYfQpmgndDSNyDEXhnTbBQ9N9JSWkmZF21d35tIC4TM9vNrgcjYJNaSdMxagByMt6inWHqzmFHKzizhSU0K/zBHUeU6Q+++y/JOG38PeinUs3/ESB6u3okZal9yeXVpzf+VG6j0n+erkhujv9AinXEdJyb7w4rxET1M4LGn41TN/RNRwoKnnTmcxcdhdXJV7E29+8SC5FVeS33dSR19SMxIrnUdnjBWz4qCHuZAadSdZpnw8kQp6mqLtGwrsczke2sA276tUqiVE9NY+KJ+JkIpQMR6tkop/dyjX0HBFjmEzpF/wyERPaVmVNOq0M30kw3r88WHEBrqGpoebkp6wHmxRn69Y8u13MND6bda4fkKP0Cj6Wa4FwGJwMivjz+z3f8R69/8wM/2tNp2npRI+l2GZkou6+QS6O4jl2pymRMD9xDoUuwnrjXlYp+fhfmp9q8bVqptnrs7Hx2MZnxP9nSeEYjVe9NhET2mZ8rPw/aEUXddRFIXwvro2Ne9sjyahhu52MBmIVHkw9nISOeFCVzWUbpZLH9xOCvtP46vK9fhVF/l9JzU1Xvzzxp9jNTkYNeDbFA2YyXubY5diP1ejr6rZ69vG/A/D+0T/4wVUDybjxeeoEz1N0S9zBGt2/64pdo6f3kN6SufYtnuyfj9WcwqZzhxSrBkM6TWOqsaDneJD7FwSKx2rs8dKrmUKJ9TNBHU3OZZrmxKBde4nMCl28qw3kmedznp37NYf5/Jq1c1ej3c+To4luqYqpHkwxljvkugprSxTPqW+PzTFR114HymG+FoMKYpCpukKToV309NchKr7cUWOkmKMb7zT4a8xKw5SjX2xGdLpbb6ahvAh+pjHUKluJcdyDQB51mls870W1znikfDHBcvYPqhlpwhtPDOdBaCW1WD77lDM3+rd4oafSoqZSKUHXdObdUS3jO1D4NND6KEI2mk/DXM/IXIs/jU0rWXs5cTYx4lvcQlqSRX+pbub3WtrtVeTUOuMQXhf+Bfqrhq8r27DOnkAirHzPDEO6zWB8lOl7KtY32ytRHltKWMGzWFIz7GUHmvZdkWrKYXT3pNousaG/e82O8e2I58QjoRwB+p4acWt1LrKE30rF5WR0pvuzr6sLH2FQzXbWLfv7ZjrQtpTVeNBPtr6KwKqB3/IxYGqYvpnxl9u4XKSWOlYnT1W+ljGckot40RoY7M1IjVqGUNt36W3+VstbvZpVlLwRCrRda1ZN/Q+lrEcCnxKRA/h107zScNcXJFjCb+Xi3Eae+E09qHEt5gqtYTdbVwPM8g2k+3e16hWS9nqfZksU0GzaajWaAgfYrPneUKah6DmpjK0hSzTCAyY2e5dzLFgdCdyeegzsk3tt9A94Z92isWIaWh3IocaMA07M6frmFeI+6n1NMxbjmI1oTUG0Dyx173Y7x6J+/EvcT/6ebPmmPa7RmDobqN+7t9pXLgax/xCTIPirxcQD+cT16B7QngXbcd602Cs0wYCEPy8HPfTrfv2yvnIOEKbKjg9exn+d3Y1NQlVDArdnp9MeG8tviVlzZqE+t/fi3fx9ladx35nPqbCHnhf2YYh045jYezFnO3NZLTQN2M4VY1f0/esxZpT8u/jvc2/4OXVd2A22vAGG/CH3DHHuqHgPv604ae8vf6hZh2rJ11xD05bJi+uuJXffXYfU0csoFf6kMt2TxfyvbHP4Fc9rNj5MqMHzuLKATMAKDu+hvc2J27Hwm8+mYnLX9vi9185YCb9Mgv47crv8dqauxk7aA6De3bO4mYSKxIrsRgVC91NQ2mIHCLTNKzp54WOeax3P8XyhnmYFCsBrZGQFnudykj73XzpfpzP3Y/S86zO5iPsd2EzdOfv9XNZ3biQQsd8MkyDLts9Xcg1zicI6R62excx2HpTU62b8uDnrHc/3aqx8qxTGWy7mRLvIsJ6gAlnNTX98PQc/FpdjKPPHWs6WaYr+EfD3axsvJ8htu/S2zIaRVGYmPoUe/zv8uHpORwPrWeCs/12aXWJ5qFt1ZpKy5orSODD/TjuvbwFFMOH6wnvqcX2nbb/AW5NpeWu1jy0rVpTPdcXamTT139laoKK4n2687fMGPVjDMrFp3tbojXVc7ty89C26mqxAl2veWhbtKbSclBzsT/wYdOOqLba5n2Nqxw/bHN8xNLaSsvxNA+VhCfBIidcYDVhzHZc1vOEv6rDOCANxd6+W8ol4bl8at3HMJtspNl7JGS8wzXbm+qktBdJeNpHMsQKSMJzubgiJzBhxWHMTsh4VeoOepk7V822eBKeji/AkmSMOd3a5Tym4Z1jC6hInKzU/gkdryM+wET7kFgRsXQz5iR0vM6W7MSr86xYFUIIIYS4TCThEUIIIUTSk4RHCCGEEElPEh4hhBBCJL24d2kFdbXKqpjjK8MovrGCulptVcxxl3uNqHqV0axI3CSpiKpXG81KwsoBS7wkt7bGixrUq8xWiY+uSA3q1WZr62KnLdvShRBCCCG+EWRKSwghhBBJTxIeIYQQQiQ9SXiEEEIIkfQk4RFCCCFE0pOERwghhBBJTxIeIYQQQiQ9SXiEEEIIkfQk4RFCCCFE0pOERwghhBBJTxIeIYQQQiQ9SXiEEEIIkfQk4RFCCCFE0pOERwghhBBJTxIeIYQQQiQ9SXiEEEIIkfQk4RFCCCFE0pOERwghhBBJTxIeIYQQQiQ9SXiEEEIIkfQk4RFCCCFE0pOERwghhBBJTxIeIYQQQiS9/wcDcHk8zH/8ugAAAABJRU5ErkJggg==\n" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "## 使用gini指数划分,不设置最大深度(预剪枝),使用ccp_alpha(后剪枝)\n", + "tree_cart = DecisionTreeClassifier(criterion='gini', ccp_alpha=0.02, random_state=0)\n", + "tree_cart.fit(X_train, y_train)\n", + "\n", + "y_test_pred = tree_cart.predict(X_test)\n", + "print('Accuracy: %.2f' % accuracy_score(y_test, y_test_pred))\n", + "# 绘制决策树\n", + "plt.figure(figsize=(10, 6))\n", + "plot_tree(tree, filled=True)\n", + "plt.show()\n" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 80, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "E:\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:40: MatplotlibDeprecationWarning: Using a string of single character colors as a color sequence is deprecated since 3.2 and will be removed two minor releases later. Use an explicit list instead.\n" + ] + }, + { + "data": { + "text/plain": "
", + "image/png": 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\n" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "## 使用knn分类\n", + "# X只选取第3,4列特征\n", + "\n", + "scaler = StandardScaler()\n", + "scaler.fit(X_train)\n", + "X_train_std = scaler.transform(X_train)\n", + "X_test_std = scaler.transform(X_test)\n", + "X_train_std = X_train_std[:, [2, 3]]\n", + "X_test_std = X_test_std[:, [2, 3]]\n", + "\n", + "X_combined_std = np.vstack((X_train_std, X_test_std))\n", + "y_combined = np.hstack((y_train, y_test))\n", + "knn = KNeighborsClassifier(n_neighbors=5, p=2, metric='minkowski')\n", + "knn.fit(X_train_std, y_train)\n", + "plot_decision_regions(X=X_combined_std, y=y_combined,\n", + " classifier=knn, test_idx=range(105, 150))\n", + "plt.xlabel('petal length [standardized]')\n", + "plt.ylabel('petal width [standardized]')\n", + "plt.legend(loc='upper left')\n", + "plt.tight_layout()\n", + "#plt.savefig('images/03_01.png', dpi=300)\n", + "plt.show()\n" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 73, + "outputs": [], + "source": [ + "from collections import Counter\n", + "\n", + "## 不使用sklearn实现knn算法\n", + "class knnCls:\n", + " def __init__(self, k=5):\n", + " self.k = k\n", + " def fit(self, X, y):\n", + " self.X_train = X\n", + " self.y_train = y\n", + "\n", + " def predict(self, X):\n", + " predicted_labels = [self._predict(X) for x in X]\n", + " return np.array(predicted_labels)\n", + " def _predict(self, x):\n", + " \"\"\"计算X中每个样本点的最近邻并选择预测值\"\"\"\n", + " # 计算距离\n", + " distances = [np.linalg.norm(x-x_train) for x_train in self.X_train]\n", + " # 选择最近的k个点的索引值\n", + " k_idx = np.argsort(distances)[:self.k]\n", + " # 获取k个点的标签\n", + " k_neighbor_labels = [self.y_train[i] for i in k_idx]\n", + " # 选择出现次数最多的标签\n", + " most_common = Counter(k_neighbor_labels).most_common(1)\n", + " return most_common[0][0]" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 82, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Accuracy: 0.40\n" + ] + } + ], + "source": [ + "my_knn = knnCls(5)\n", + "my_knn.fit(X_train_std, y_train)\n", + "y_test_pred = my_knn.predict(X_test_std)\n", + "print('Accuracy: %.2f' % accuracy_score(y_test, y_test_pred))\n" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 88, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "E:\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py:765: ConvergenceWarning: lbfgs failed to converge (status=1):\n", + "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n", + "\n", + "Increase the number of iterations (max_iter) or scale the data as shown in:\n", + " https://scikit-learn.org/stable/modules/preprocessing.html\n", + "Please also refer to the documentation for alternative solver options:\n", + " https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n", + " extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "LogisticRegression()\n", + "Classification Report:\n", + " precision recall f1-score support\n", + "\n", + " 0 1.00 1.00 1.00 10\n", + " 1 1.00 1.00 1.00 9\n", + " 2 1.00 1.00 1.00 11\n", + "\n", + " accuracy 1.00 30\n", + " macro avg 1.00 1.00 1.00 30\n", + "weighted avg 1.00 1.00 1.00 30\n", + "\n" + ] + }, + { + "data": { + "text/plain": "
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\n" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "====================================\n", + "DecisionTreeClassifier()\n", + "Classification Report:\n", + " precision recall f1-score support\n", + "\n", + " 0 1.00 1.00 1.00 10\n", + " 1 1.00 1.00 1.00 9\n", + " 2 1.00 1.00 1.00 11\n", + "\n", + " accuracy 1.00 30\n", + " macro avg 1.00 1.00 1.00 30\n", + "weighted avg 1.00 1.00 1.00 30\n", + "\n" + ] + }, + { + "data": { + "text/plain": "
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\n" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "====================================\n", + "SVC()\n", + "Classification Report:\n", + " precision recall f1-score support\n", + "\n", + " 0 1.00 1.00 1.00 10\n", + " 1 1.00 1.00 1.00 9\n", + " 2 1.00 1.00 1.00 11\n", + "\n", + " accuracy 1.00 30\n", + " macro avg 1.00 1.00 1.00 30\n", + "weighted avg 1.00 1.00 1.00 30\n", + "\n" + ] + }, + { + "data": { + "text/plain": "
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\n" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "====================================\n", + "KNeighborsClassifier()\n", + "Classification Report:\n", + " precision recall f1-score support\n", + "\n", + " 0 1.00 1.00 1.00 10\n", + " 1 1.00 1.00 1.00 9\n", + " 2 1.00 1.00 1.00 11\n", + "\n", + " accuracy 1.00 30\n", + " macro avg 1.00 1.00 1.00 30\n", + "weighted avg 1.00 1.00 1.00 30\n", + "\n" + ] + }, + { + "data": { + "text/plain": "
", + "image/png": 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\n" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "====================================\n" + ] + } + ], + "source": [ + "from sklearn.metrics import accuracy_score, confusion_matrix, classification_report\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import numpy as np\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "class BaseEstimator:\n", + " def __init__(self, X, y, test_size=0.2, random_state=42):\n", + " self.accuracy = None\n", + " self.pred = None\n", + " self.model = None\n", + " self.X_train, self.X_test, self.y_train, self.y_test = train_test_split(X, y, test_size=test_size, random_state=random_state)\n", + "\n", + " def train_and_predict(self, model):\n", + " self.model = model\n", + " self.model.fit(self.X_train, self.y_train)\n", + " self.pred = self.model.predict(self.X_test)\n", + " self.accuracy = self.model.score(self.X_test, self.y_test)\n", + " return self.accuracy\n", + "\n", + " def evaluate(self):\n", + " if self.model is None:\n", + " print('Please train the model first!')\n", + " else:\n", + " model_name = type(self.model).__name__\n", + " cm = confusion_matrix(self.y_test, self.pred)\n", + " print('Classification Report:')\n", + " print(classification_report(self.y_test, self.pred))\n", + " # Create a heatmap for the confusion matrix for better visualization\n", + " plt.figure(figsize=(10,7))\n", + " sns.heatmap(cm, annot=True, cmap='Blues')\n", + " plt.xlabel('Predicted')\n", + " plt.ylabel('Actual')\n", + " plt.title(f'Confusion Matrix for {model_name}: Accuracy of {self.accuracy:.3f}')\n", + " plt.show()\n", + "\n", + "# Example of usage\n", + "from sklearn.datasets import load_iris\n", + "from sklearn.linear_model import LogisticRegression\n", + "from sklearn.tree import DecisionTreeClassifier\n", + "from sklearn.svm import SVC\n", + "from sklearn.neighbors import KNeighborsClassifier\n", + "\n", + "X, y = load_iris(return_X_y=True)\n", + "estimator = BaseEstimator(X, y)\n", + "\n", + "models = [LogisticRegression(), DecisionTreeClassifier(), SVC(), KNeighborsClassifier()]\n", + "for model in models:\n", + " estimator.train_and_predict(model)\n", + " estimator.evaluate()\n", + " print(\"====================================\")\n" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file