{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# MNIST-Overfit-Dropout" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# coding: utf-8\n", "import sys, os\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import math\n", "\n", "sys.path.append(os.pardir)\n", "from deeplink.mnist import *\n", "from deeplink.networks import *" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Multilayer Neural Network Model (Two Hidden Layers) and Learing/Validation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Multi Layer Model Class" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [], "source": [ "class MultiLayerNetExtended(MultiLayerNet):\n", " def __init__(self, input_size, hidden_size_list, output_size, activation='ReLU', initializer='N2', \n", " optimizer='AdaGrad', learning_rate=0.01, \n", " use_batch_normalization=False, \n", " use_weight_decay=False, weight_decay_lambda=0.0,\n", " use_dropout=False, dropout_ratio_list=None):\n", " self.input_size = input_size\n", " self.output_size = output_size\n", " self.hidden_size_list = hidden_size_list\n", " self.hidden_layer_num = len(hidden_size_list)\n", " \n", " self.use_batch_normalization = use_batch_normalization\n", "\n", " self.use_weight_decay = use_weight_decay\n", " self.weight_decay_lambda = weight_decay_lambda\n", " \n", " self.use_dropout = use_dropout\n", " self.dropout_ratio_list = dropout_ratio_list\n", " \n", " # Weight Initialization\n", " self.params = {}\n", " self.weight_initialization(initializer)\n", " \n", " # Layering\n", " self.layers = OrderedDict()\n", " self.last_layer = None\n", " self.layering(activation)\n", "\n", " # Optimization Method\n", " self.optimizer = optimizers[optimizer](lr=learning_rate)\n", " \n", " def weight_initialization(self, initializer):\n", " params_size_list = [self.input_size] + self.hidden_size_list + [self.output_size]\n", " initializer_obj = initializers[initializer](self.params, \n", " params_size_list, \n", " self.use_batch_normalization)\n", " initializer_obj.initialize_params();\n", " \n", " def layering(self, activation):\n", " for idx in range(1, self.hidden_layer_num + 1):\n", " self.layers['Affine' + str(idx)] = Affine(self.params['W' + str(idx)], self.params['b' + str(idx)])\n", " if self.use_batch_normalization:\n", " self.layers['Batch_Normalization' + str(idx)] = BatchNormalization(self.params['gamma' + str(idx)], \n", " self.params['beta' + str(idx)])\n", " self.layers['Activation' + str(idx)] = activation_layers[activation]()\n", "\n", " if self.use_dropout:\n", " self.layers['Dropout' + str(idx)] = Dropout(self.dropout_ratio_list[idx - 1])\n", " \n", " idx = self.hidden_layer_num + 1\n", " self.layers['Affine' + str(idx)] = Affine(self.params['W' + str(idx)], self.params['b' + str(idx)])\n", "\n", " self.last_layer = SoftmaxWithCrossEntropyLoss() \n", "\n", " def predict(self, x, is_train=False):\n", " for key, layer in self.layers.items():\n", " if \"BatchNorm\" in key or \"Dropout\" in key:\n", " x = layer.forward(x, is_train)\n", " else:\n", " x = layer.forward(x)\n", " return x\n", "\n", " def loss(self, x, t, is_train=False):\n", " y = self.predict(x, is_train)\n", "\n", " if self.use_weight_decay:\n", " weight_decay = 0.0\n", " for idx in range(1, self.hidden_layer_num + 2):\n", " W = self.params['W' + str(idx)]\n", " weight_decay += 0.5 * self.weight_decay_lambda * np.sum(W**2)\n", " return self.last_layer.forward(y, t) + weight_decay\n", " else:\n", " return self.last_layer.forward(y, t)\n", "\n", " def accuracy(self, x, t):\n", " y = self.predict(x, is_train=False)\n", " y = np.argmax(y, axis=1)\n", " if t.ndim != 1 : t = np.argmax(t, axis=1)\n", "\n", " accuracy = np.sum(y == t) / float(x.shape[0])\n", " return accuracy \n", "\n", " def backpropagation_gradient(self, x, t):\n", " # forward\n", " self.loss(x, t, is_train=True)\n", "\n", " # backward\n", " din = 1\n", " din = self.last_layer.backward(din)\n", "\n", " layers = list(self.layers.values())\n", " layers.reverse()\n", " for layer in layers:\n", " din = layer.backward(din)\n", "\n", " grads = {}\n", " for idx in range(1, self.hidden_layer_num + 2):\n", " if self.use_weight_decay:\n", " grads['W' + str(idx)] = self.layers['Affine' + str(idx)].dW + self.weight_decay_lambda * self.params['W' + str(idx)]\n", " else:\n", " grads['W' + str(idx)] = self.layers['Affine' + str(idx)].dW\n", " grads['b' + str(idx)] = self.layers['Affine' + str(idx)].db\n", "\n", " if self.use_batch_normalization and idx <= self.hidden_layer_num:\n", " grads['gamma' + str(idx)] = self.layers['Batch_Normalization' + str(idx)].dgamma\n", " grads['beta' + str(idx)] = self.layers['Batch_Normalization' + str(idx)].dbeta\n", " \n", " return grads\n", "\n", " def learning(self, x_batch, t_batch):\n", " grads = self.backpropagation_gradient(x_batch, t_batch)\n", " self.optimizer.update(self.params, grads)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Training and Evaluation" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [], "source": [ "data = mnist_data(\"/Users/yhhan/git/aiclass/0.Professor/data/MNIST_data/.\")\n", "(img_train, label_train), (img_validation, label_validation), (img_test, label_test) = data.load_mnist(flatten=True, normalize=True, one_hot_label=True)\n", "\n", "# 오버피팅을 유도하기 위하여 데이터 수를 대폭 줄임\n", "img_train = img_train[:200]\n", "label_train = label_train[:200]\n", "\n", "# 오버피팅을 유도하기 위하여 레이어를 깊게 가져가고 파라미터를 대폭 늘림\n", "input_size=784\n", "hidden_layer1_size=128\n", "hidden_layer2_size=128\n", "hidden_layer3_size=128\n", "hidden_layer4_size=128\n", "hidden_layer5_size=128\n", "hidden_layer6_size=128\n", "output_size=10\n", "\n", "num_epochs = 200\n", "train_size = img_train.shape[0]\n", "batch_size = 100\n", "learning_rate = 0.1\n", "\n", "markers = {\"N2, AdaGrad, No_Batch_Norm, No_Weight_Decay, No_dropout\": \"x\", \"N2, AdaGrad, No_Batch_Norm, No_Weight_Decay, Dropout\": \"o\"}\n", "\n", "networks = {}\n", "train_errors = {}\n", "validation_errors = {}\n", "test_accuracy_values = {}\n", "max_test_accuracy_epoch = {}\n", "max_test_accuracy_value = {}\n", "\n", "for key in markers.keys():\n", " if key == \"N2, AdaGrad, No_Batch_Norm, No_Weight_Decay, No_dropout\":\n", " networks[key] = MultiLayerNetExtended(input_size, \n", " [hidden_layer1_size, hidden_layer2_size, hidden_layer3_size, hidden_layer4_size, hidden_layer5_size, hidden_layer6_size], \n", " output_size, \n", " activation='ReLU', \n", " initializer='N2',\n", " optimizer='AdaGrad', learning_rate=learning_rate,\n", " use_batch_normalization=False, \n", " use_weight_decay=False, weight_decay_lambda=0.0,\n", " use_dropout=False, dropout_ratio_list=[0.0, 0.0, 0.0, 0.0, 0.0, 0.0])\n", " elif key == \"N2, AdaGrad, No_Batch_Norm, No_Weight_Decay, Dropout\":\n", " networks[key] = MultiLayerNetExtended(input_size, \n", " [hidden_layer1_size, hidden_layer2_size, hidden_layer3_size, hidden_layer4_size, hidden_layer5_size, hidden_layer6_size], \n", " output_size, \n", " activation='ReLU', \n", " initializer='N2',\n", " optimizer='AdaGrad', learning_rate=learning_rate,\n", " use_batch_normalization=False,\n", " use_weight_decay=False, weight_decay_lambda=0.0,\n", " use_dropout=True, dropout_ratio_list=[0.5, 0.5, 0.5, 0.5, 0.5, 0.5])\n", " \n", " train_errors[key] = [] \n", " validation_errors[key] = []\n", " test_accuracy_values[key] = []\n", " max_test_accuracy_epoch[key] = 0\n", " max_test_accuracy_value[key] = 0.0" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, " ] }, { "name": "stderr", "output_type": "stream", "text": [ "../common/functions.py:56: RuntimeWarning: divide by zero encountered in log\n", " return -np.sum(np.log(y[np.arange(batch_size), t])) / batch_size\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, " ] } ], "source": [ "epoch_list = []\n", "\n", "num_batch = math.ceil(train_size / batch_size)\n", "\n", "for i in range(num_epochs):\n", " epoch_list.append(i)\n", " for key in markers.keys():\n", " for k in range(num_batch):\n", " x_batch = img_train[k * batch_size : k * batch_size + batch_size]\n", " t_batch = label_train[k * batch_size : k * batch_size + batch_size]\n", " networks[key].learning(x_batch, t_batch)\n", "\n", " train_loss = networks[key].loss(x_batch, t_batch, is_train=True)\n", " train_errors[key].append(train_loss)\n", "\n", " validation_loss = networks[key].loss(img_validation, label_validation, is_train=False)\n", " validation_errors[key].append(validation_loss) \n", "\n", " test_accuracy = networks[key].accuracy(img_test, label_test)\n", " test_accuracy_values[key].append(test_accuracy)\n", " if test_accuracy > max_test_accuracy_value[key]:\n", " max_test_accuracy_epoch[key] = i \n", " max_test_accuracy_value[key] = test_accuracy\n", "# print(\"{0:26s}-Epoch:{1:3d}, Train Err.:{2:7.5f}, Validation Err.:{3:7.5f}, Test Accuracy:{4:7.5f}, Max Test Accuracy:{5:7.5f}\".format(\n", "# key,\n", "# i,\n", "# train_loss,\n", "# validation_loss,\n", "# test_accuracy,\n", "# max_test_accuracy_value[key]\n", "# ))\n", " print(i, end=\", \") " ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAABJIAAALJCAYAAADvdAkRAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xl8VNX9//HXmQEBFYKCUKvYQIosSYaETSQgEVSkipai\ngPoFkSKiCMoXKFA3xB/WBUEUN/xSwIVFUSzgWpQoiLIPCQguYFistSCCJIJAcn5/zNJJSCaTZJKZ\nSd7PxyOPMPfOPfdzJpnMh88951xjrUVERERERERERKQkjkgHICIiIiIiIiIisUGFJBERERERERER\nCYkKSSIiIiIiIiIiEhIVkkREREREREREJCQqJImIiIiIiIiISEhUSBIRERERERERkZCokCQilc4Y\n4zTG5BhjLoh0LCIiIiLRyhgTb4yxxpga3sfvGmNuDuW5ZTjXX40x/1eeeEWkelAhSURK5C36+L7y\njTFHAx7fVNr2rLV51tozrbV7yhDL771JUk6hr76lbUtERESkIhlj3jPGTC5i+7XGmH+Xtuhjre1l\nrZ0XhrjSjTH7CrX9sLV2aHnbLuJcg40xeUXkbr8N97lEpHKUqVotItWLtfZM37+NMdnAUGvtiuKe\nb4ypYa09WVkxBWOMcVpr80raVkIbFd4fERERqZLmAVOMMQ9Ya23A9oHAq9Uov/jMWtulpCcVlXOV\nJQ8rba4nIqWjEUkiUm7GmP9njFlkjFlgjDkC/I8x5mJjzOfGmEPGmO+NMU8ZY2p6n1/DO6oo3vv4\nFe/+d40xR4wxnxljmpYxlleMMc94rwDmAl2L2Vbfu32/MSbbGDPRGGO8bQw1xnzijekgcG84XicR\nERGpdt4CGgBdfRuMMWcBVwMveR9fZYzZbIz52Riz1xgzqbjGjDEZxpih3n87jTFTjTEHjDG7gKsK\nPfcWY8x2b261yxhzm3f7GcC7wG8DRwcZYyYZY14JOP4aY8w2by6XYYxpFbAv2xgz1hiTaYw57M0D\na5flBfK2Nd4YkwnkevPEora18sZxyBvXNQFtzDXGPGeMeceb611allhEJDQqJIlIuPQB5gNxwCLg\nJHAX0BBIA64Ebgty/I3AfcDZwB7goXLEciPwIFAX+KyYbc8CpwPNgO7An4FBAW10BrYD5wCPliMW\nERERqaastUeB1yiYY/QDdlhrt3gf53r318dTDLrdGPPHEJq/FU9BKhVoD1xXaP9/vPvrAbcA040x\nba21uUAv4F/epQbOtNb+K/BAY8yFwALgbjy50DvAMmPMaYX6cSXQFHABg0OIuTg34Ol7/YDRR/5t\ngAGWAR8AjYCRwKvGmBYBbdwITMGT660uRywiUgIVkkQkXFZba5dZa/OttUetteuttWuttSettbuA\nWUC3IMcvttZusNaeAF4FUoKdzHs1KvCrecDuJdbaz7yx/Fp4G5CPJ/mZYK094o1vOp5h5j57rLXP\neddzOlrK10JERETEZx5wXcCInUHebQBYazOstVnevCUTTwEnWM7k0w940lq711p7EPhb4E5r7dvW\n2p3W42M8RZiuRTVUhP7A29baf3pzs6lAHTwX2nyestb+y3vuZQTP3ToVytt2Ftr/lLcfR4vZ1gk4\nE3jEWnvcWvsRsBxPscnnH9baT72v47EQ+ykiZaA1kkQkXPYGPjDGtASeANrhGflTA1gb5Ph/B/z7\nFzzJQrGstfVDjaWIbY0AJ7A7YNtu4LwS2hAREREpFWvtamPMAeCPxpj1QEfgT779xpiLgEeAJOA0\noBbweghN/5aC+UpgXoMxphfwAHAhngEEpwNZIYb928D2rLX5xpi9FMyVCuduwRbP/ryENZJKyt1+\nC+z1XhD0Ue4mEiEakSQi4WILPX4B2Ar83lpbD7gfz7DkSMRSeNt/gDzgdwHbLgC+K6ENERERkbJ4\nCc9IpP8B3rfW/hCwbz6wFGhirY0Dnie0nOl7oEnA4wt8/zDG1ALewDOSqLH3Atw7Ae2WlOf8i4A8\nybuOZBMK5krhVFLu9i+giTEm8P+vyt1EIkSFJBGpKHWBw3gWSGxF8PWRKpV3iPZi4GFjzJnehb1H\nA68EP1JERESkTF4CLsOzrtG8QvvqAgettceMMR3xrPUTiteAUcaY870LeE8I2Ocb2bQfOOkdnXRF\nwP4fgAbGmLggbV9ljOnhvVnKGOBXYE2IsYXbWjyjnv5ijKlpjEkHegMLIxSPSLWmQpKIVJQxwM3A\nETyjkxaFs/GAu4z4vkaVsok7gONANvAxnqTupXDGKCIiIgJgrc3GU4Q5A8/oo0B3AJON58639+Mp\n4oTiReB9YAuwCXgz4HxHgFHetn7CU5xaGrB/B561mHZ51ywqMC3NWvslntFTTwMH8BRteltrj4cY\nW2EXF5G7dQj1YO95e+NZJPwAnpumDPL2Q0QqmbFWIwBFRERERERERKRkGpEkIiIiIiIiIiIhUSFJ\nRERERERERERCokKSiIiIiIiIiIiERIUkEREREREREREJSY1IB1BaDRs2tPHx8WFtMzc3lzPOOCOs\nbUYj9bPqqS59VT+rlurST6g+fQ13Pzdu3HjAWntO2BqUsFAOVnbqZ9VSXfoJ1aev6mfVon6WXag5\nWMwVkuLj49mwYUNY28zIyCA9PT2sbUYj9bPqqS59VT+rlurST6g+fQ13P40xu8PWmISNcrCyUz+r\nlurST6g+fVU/qxb1s+xCzcE0tU1EREREREREREKiQpKIiIiIiIiIiIREhSQREREREREREQlJzK2R\nJFKZTpw4wb59+zh27FikQylSXFwc27dvj3QYFU79rFqqSz+h+vS1rP2sXbs2559/PjVr1qyAqEQk\nlkVzDlZd/rZD9emr+lm1qJ8lK28OpkKSSBD79u2jbt26xMfHY4yJdDinOHLkCHXr1o10GBVO/axa\nqks/ofr0tSz9tNby448/sm/fPpo2bVpBkYlIrIrmHKy6/G2H6tNX9bNqUT+DC0cOpqltIkEcO3aM\nBg0aRF0CIyIS64wxNGjQICpHG4hI5CkHExGpGOHIwVRIEimBEhgRkYqhv68iEoz+RoiIVIzy/n1V\nIUlEREREREREREJS7QtJz3+8k+0/5hXYtmbnAZ7/eGeEIhIRERGpHhr98DFMT4JJ9T3fM1+LdEgi\nIiJSgmpfSHKdH8ez7mOs2XkA8BSR7py/Gdf5cRGOTGLN8x/v9P8e+YSjKGmMYcyYMf7HU6dOZdKk\nSQDMnDmT1q1b43K56NGjB7t37w6pTbfbjTGG9957r9jnTJo0ialTp5bY1iuvvILL5SIxMZE2bdow\ndOhQDh06FFIcxTnzzDNLfE58fDx9+/b1P168eDGDBw8u9bnmzp3LOeecQ0pKComJiVx33XX88ssv\nQY/JyMhgzZo1QZ+TnZ1NUlJSyHEMHjyYFi1a8OuvvwJw4MAB4uPjQz4+HLKzszHG8PTTT/u33Xnn\nncydO7dU7WzZsoWUlBT/4wULFlCnTh1OnDgBwLZt23C5XEHbuP/++1mxYkXQ5xT3O3ro0CGeffbZ\noMdmZ2dTp04dUlNTadWqFR07dix1PyvCpEmTOP300/nPf/7j3xbK+yGUdkN5P1eUhx9+OGLnliiW\n+RotvnwGDu8FrOf7slEqJkmpRSIHmzZtmnIwL+Vg5accbG7QYyqDcrDSqfaFpM4JDbkjpTbDX97I\nn+eu5875m5l5YyqdExpGOjSJMa7z47hz/uawFyVr1arFm2++yYEDB07Z53K52LBhA5mZmVx33XX8\n5S9/CanNBQsW0KVLFxYsWFCu2N577z2mT5/Ou+++y7Zt29i0aROdO3fmhx9+OOW5eXl5RbRQPhs3\nbuSLL74odzv9+/fH7Xazbds2TjvtNBYtWhT0+aEkMWXhdDr5+9//XqZjT548GZYYGjVqxIwZMzh+\n/HiZ20hOTmbPnj0cOXIEgDVr1tCqVSs2b94MwNq1a+ncuXPQNiZPnsxll11WpvOHksQAJCQksHnz\nZrZv387ChQt58sknmTNnTpnOGU4NGzbkiSeeqJRzhev3piQqJEmRPpyMM//XgttOHIUPJ0cmHolZ\nkcjBUlNTlYMpBwOUgwVSDha6WM/Bqn0hCaBVAyetzq3Hhzv+w40dL1ARSYr04LJt9H/hs2K/Zqz4\nmkZ1azFo9jrSHvmQQbPX0ahuLWas+LrYYx5ctq3E89aoUYNhw4Yxffr0U/ZdcsklnH766QB06tSJ\nffv2ldietZbXX3+duXPn8s9//rPAav1TpkzhwgsvpEuXLnz55Zf+7S+++CIdOnSgTZs29O3b13+1\naMqUKUydOpXzzjsP8HwIDxkyhBYtWgCeK1bjx4+nbdu2vP7668W28+2333LxxReTnJzMvffeW2If\nfMaMGcOUKVNO2X7w4EH++Mc/4nK56NSpE5mZmSG1d/LkSXJzcznrrLMAWLZsGRdddBGpqalcdtll\n/PDDD2RnZ/P8888zffp0UlJSWLVqFT/88AN9+vShTZs2tGnTxp/g5OXlceutt5KYmMgVV1zB0aNH\ng57/jjvuYPr06ad8sFhrGTduHElJSSQnJ/uTrIyMDLp27co111xD69atyc7OpmXLlgwePJgLL7yQ\nm266iRUrVpCWlkbz5s1Zt25dia/BOeecQ48ePZg3b94p+9xuN506dcLlctGnTx9++umnIttwOBy0\nb9+etWvXAp5kc8SIEf7XZe3ataSlpfn3devWjXbt2tGzZ0++//57wHN1cPHixQC88847tGzZknbt\n2jFq1Ciuvvpq/7m++OIL0tPTadasGU899RQAEyZMYOfOnaSkpDBu3LgS+wzQrFkzpk2b5m8jNzeX\nIUOG0LFjR1JTU/nHP/4BeH6mY8eOJSkpCZfL5b9yOHnyZDp06EBSUhLDhg3DWsvOnTvp2rWr/xxf\nf/01bdu2LTGWIUOGsGjRIg4ePHjKvmnTppGUlERSUhJPPvlk0HaKez+np6dz99130759e2bMmEF2\ndjbdu3f3X1Xfs2cP4PkZDB8+nPbt23PhhReyfPlywHMnpVtuuYXk5GRSU1NZuXIl4LmyfOedd/rP\nc/XVV5ORkcGECRM4evQoKSkp3HTTTSX2X6qRw8V8ZhW3XaqtaMzBLr30UuVgysGUg0VpDrZr164C\nOVdVzcE++eQTIDI5mApJwPYf88jcdxiAV9fuPmVorEio4urUpHG9Wnx36BiN69Uirk7NsLQ7YsQI\nXn31VQ4fPlzsc2bPnk2vXr1KbGvNmjU0bdqUhIQE0tPTefvttwHPh8nChQtxu9288847rF+/3n/M\nn/70J9avX8+WLVto1aoVs2fPBjzDY0v6o9ygQQM2bdrEgAEDim3nrrvu4vbbbycrK4tzzz23xD74\n9OvXj02bNvHNN98U2P7AAw+QmppKZmYmDz/8MIMGDQrazqJFi0hJSeG8887j4MGD9O7dG4AuXbrw\n+eefs3nzZgYMGMBjjz1GfHw8w4cPZ/To0bjdbrp27cqoUaPo1q0bW7ZsYdOmTSQmJgKeD60RI0aw\nbds26tevzxtvvBE0jvPPP58uXbrw8ssvF9j+5ptv4na72bJlCytWrGDcuHH+D/tNmzYxY8YMvvrq\nKwC++eYbxowZw44dO9ixYwfz589n9erVTJ06NeQrEuPHj2fq1KmnXMEcNGgQjz76KJmZmSQnJ/Pg\ngw8W20ZaWhpr1qwhNzcXh8NBenp6gSSmc+fOnDhxgpEjR7J48WI2btzIkCFDuOeeewq0c+zYMW67\n7TbeffddNm7cyP79+wvs37FjB++//z7r1q3jwQcf5MSJEzzyyCMkJCTgdrt5/PHHQ+ozQNu2bdmx\nYwfgSQC6d+/OunXrWLlyJePGjSM3N5dZs2aRnZ2N2+0mMzPT/6F85513sn79erZu3crRo0dZvnw5\nCQkJ1KtXD7fbDcCcOXO45ZZbSozjzDPPZMiQIcyYMaPA9o0bNzJnzhzWrl3L559/zosvvui/wlhY\nsPczwPHjx9mwYQNjxoxh5MiR3Hzzzf7+jBo1yv+87Oxs1q1bx9tvv83w4cM5duwYzzzzDMYYsrKy\nWLBgATfffHPQ28c+8sgj1KlTB7fbzauvvlpi/6UaiTu/dNtFglAOdirlYMrBqmsO1qxZM+Li4qp8\nDubbXpyKzMFqhLW1GLRm5wGedR/jmpQmLFq/l+n9UzS9TYr0QO/EEp/jG0o9qvvveWXtHu66rHlY\nfo/q1avHoEGDeOqpp6hTp84p+1955RU2bNjAxx9/XGJbCxYsYMCAAQAMGDCAl156ib59+7Jq1Sr6\n9Onjv7p2zTXX+I/ZunUr9957L4cOHSInJ4eePXue0m5WVhYDBw7kyJEjPPzww/Tv3x/A/z1YO59+\n+qn/A37gwIGMHz8+pNfF6XQybtw4/va3vxVI4FavXu1vr3v37vz444/8/PPP1KtXr8h2+vfvz8yZ\nM7HWMmLECB5//HEmTJjAvn376N+/P99//z3Hjx+nadOmRR7/0Ucf8dJLL/ljiouL46effqJp06b+\neert2rUjOzu7xD5NnDiRa6+9lquuuqpAf2644QacTieNGzemW7durF+/nnr16tGxY8cCcTVt2pTk\n5GQAEhMT6dGjB8YYkpOTQzo/eK4MXXTRRcyfP9+/7fDhwxw6dIhu3boBcPPNN3P99dcX20bnzp15\n4okn6Nq1Kx06dCAhIYFvvvmG/fv3k5ubS0JCAlu3bmXr1q1cfvnlgOdKU+EkdseOHTRr1szfxxtu\nuIFZs2b591911VXUqlWLWrVq0ahRoyKH9IfKWuv/9wcffMDSpUv9c9qPHTvGnj17WLFiBcOHD6dG\nDc/H59lnnw3AypUreeyxx/jll184ePAgiYmJ9O7dm0GDBjFnzhymTZvGokWLQroiCTBq1ChSUlIY\nO3asf9vq1avp06cPZ5xxBuD5z8WqVatITU095fhg72co+L787LPPePPNNwHP+y9weka/fv1wOBw0\nb96cZs2asWPHDlavXs3IkSMBaNmyJb/73e9O+Y+ESEh63E/eW3cWnN5Wsw70uD9yMUlUUg6mHEw5\nmHKw0uRg6enpDB06tMrnYE2aNPEXMitbtR+RlLnvMHek1KZZQ88vRYf4s5l5Y6p/hJJIqHwJzMwb\nU/nfK1ow88bUAvP1y+vuu+9m9uzZ5ObmFti+YsUKpkyZwtKlS6lVq1bQNvLy8njjjTeYPHky8fHx\njBw5kvfee88/j7o4gwcPZubMmWRlZfHAAw/4K9+JiYls2rQJ8MzJdrvd9OrVq8DwYd8f3GDtgGdB\ny7IYOHAgn3zyCXv37i3T8YGMMfTu3ds/THTkyJHceeedZGVl8cILLwSt+Bcl8OfhdDpDmgvdvHlz\nUlJSeO210BabDXx9C5/T4XD4HzscjlLNxf7rX//Ko48+WuCDvTQ6derE+vXr+fTTT7n44osBz9W+\nhQsX0rFjR8CTNCQmJuJ2u3G73WRlZfHBBx+U6jxleY2Ls3nzZlq1auWP7Y033vDHtmfPHv++wo4d\nO8Ydd9zB4sWLycrK4tZbb/X/rlx77bW8++67LF++nHbt2tGgQYOQYqlfvz433ngjzzzzTJn7E0zh\n35viFH5fBnuf1qhRg/z8fP/j0r5fpBpy9ePLFiPA6X0fxzWB3k+Bq19k45KYoxxMOVhhysGUg/Xt\n21c5WAWq9oWk4d0SaNXAidPh+cHkWUvnhIYM75YQ4cgk1mTuO1xgJFvnhIZhLUqeffbZ9OvXzz8U\nGTx3ZrjttttYunQpjRo1KvD8li1bntLGhx9+iMvlYu/evWRnZ7N792769u3LkiVLuOSSS3jrrbc4\nevQoR44cYdmyZf7jjhw5wrnnnsuJEycKDIucOHEiY8eOLbAuQLA56MW1k5aWxsKFCwFOGXZZVD8C\n1axZk9GjRxdYv6Br167+djIyMmjYsGGxV8IKW716NQkJnvf/4cOH/WsPBM5Xr1u3boHEr0ePHjz3\n3HOAJ1EMNvw9FPfcc0+Buzt07dqVRYsWkZeXx/79+/nkk0/8iUBZrFu3rsSh5i1btqR169b+34O4\nuDjOOussVq1aBcDLL7/svzJWlLp169KkSRPmzJnjT2IuvvhinnzySTp16gRAixYt2L9/P5999hkA\nJ06cYNu2gmtWtGjRgl27dvmv5JW0CKfv3CUl5oVlZ2czduxY/1Wenj178vTTT/uTON/w5csvv5wX\nXnjBnywdPHjQ/2HdsGFDcnJy/OsKANSuXZuePXty++23FxhSPXHiRJYsWRI0pv/93/8tcK6uXbvy\n1ltv8csvv5Cbm8uSJUsKrMEUKNj7ubDOnTsXeP8Ftvn666+Tn5/Pzp072bVrFy1atCjw/vrqq6/Y\ns2cPzZs3Jz4+HrfbTX5+Pnv37i1w5a9mzZr+O8aIBPpP427wu4uhyUUwequKSFImkcjBNm/erBxM\nOVipKQc7lXKwsudg+/bto0WLFhHJwap9IcnH4a3w5eeXrfIrMrxbwilDqMNdlBwzZkyBO4fcd999\n5OTkcP3115OSkuIfOnngwIEir2IsWLCAPn36FNjWt29fFixYQNu2benfvz9t2rShV69edOjQwf+c\nhx56iIsuuoi0tLQCScUf/vAHRo0aRa9evWjdujWdO3fG6XQWOew6WDszZszgmWeeITk5me+++86/\nvbh+FPbnP/+5wFWQSZMmsXHjRlwuFxMmTChy0cJAvvn5LpeLzZs3c9999/nbuf7662nXrh0NG/73\nZ9u7d2+WLFniX+hxxowZrFy5kuTkZNq1a1fuu5gkJiYWWPegT58+uFwu2rRpQ/fu3Xnsscf4zW9+\nU+b29+zZU+Tw/MLuueeeAgnqvHnzGDduHC6XC7fbzf33B59+kpaWxq+//kqTJk0ATxKza9cufwJ2\n2mmnsXjxYsaPH0+bNm1ISUk55U4sderU4dlnn+XKK6+kXbt21K1bl7i44HfhadCgAWlpaSQlJQVd\n6HHnzp3+W8/269ePUaNG+RON++67jxMnTvhvq+z7nRg6dCgXXHCB/+cxf/586tevz6233kpSUhI9\ne/Ys8N4BuOmmm3A4HFxxxRX+bVlZWSX+DBs2bEifPn38tyNu27YtgwcPpmPHjlx00UUMHTq0yCHV\nvucW934u7Omnn2bOnDm4XC5efvnlAusCXHDBBXTs2JFevXrx/PPPU7t2be644w7y8/NJTk6mf//+\nzJ07l1q1apGWlkbTpk1p3bo1o0aNKvA7PGzYMFwulxbblqIZB+SH/65SUn1EIgcbN26ccjCUg5WW\ncjAP5WAe5c3BnnvuuYjlYKasQ+YipX379nbDhg1hbTMjI4Pdp8XzwNJtbLz3MhqcGXxoaqzKyMgg\nPT090mFUuHD2c/v27cUOpYwGR44coW7duqdsX758Obt27SqwYFss8vXjlltuKbKfVU1xP89wGzdu\nHAMHDsTlclX4uYpS2n7m5ORw5pln+tdPaN68OaNHj67ACMPnyJEjvPDCCxw+fJiHHnrIv71nz568\n//77EYysZIMHD+bqq6/muuuuK/G55fndLervrDFmo7W2fZkalApTUTlY+r6Z8MuPMGxlWNuOJsrB\nSi+ac7Bgf/OUg8Um5WBFi9UczNfPqVOnVukcrLy/t+XJwar9Yts+joCpbSKxLvDWnLHM14/SDpGV\n4EpzF41o8OKLLzJv3jyOHz9Oamoqt912W6RDCtmNN97I7t27+eijjwpsj/YERqRSGQdYjUiSqkE5\nmASjHKzy9OnTh507dyoHqyBRUUgyxtQH/g9IAiwwxFr7WWXG4PRPbavMs4pIZZkzZ84pt/JMS0ur\nsIX0ijNixAg+/fTTAtvuuuuukG5JGo0qoz+jR48u89Uv351sAtWqVYu1a9eGI7QSzZ8/v0KvcP74\n44/06NHjlO0ffvhhyItKFmfu3LnlOl4kZMYBVgmYSFWlHKxiKAcLrqR1kMqruudgUVFIAmYA71lr\nrzPGnAacXtkBOL2rRWlEkkjVdMstt0RFolDZSVNFi/b++O5kU1U1aNCgSvdPqgmHE5R/iVRZysEq\nRrT3RzlY1RbxQpIxJg64BBgMYK09Dhyv7DicDk8lKS9PiYyIiIhIpTFGi22LiIjEkIgXkoCmwH5g\njjGmDbARuMtam+t7gjFmGDAMoHHjxmRkZIQ1gJycHL761w4A1nz+ObvOqJo3s8vJyQn7axeNwtnP\nuLi4qJ4bnpeXF9XxhYv6WbVUl35C9elrefp57NixavHZJEEYp6a2iYiIxJBoKCTVANoCI621a40x\nM4AJwH2+J1hrZwGzwHPHkHDf9SIjI4PE85tDppv2HTry+0ZnhrX9aKE7hpTe9u3bo/pOFZV1h4lI\nUz+rlurST6g+fS1PP2vXrl3sLXSlmtAaSSIiIjElGobe7AP2WWt9q24txlNYqlRO713b8jVHX0RE\nRKTy6K5tIiIiMSXihSRr7b+BvcaYFt5NPYAvKjsO313b8vJVSJJyyHwNpifBpPqe75mvlbtJYwxj\nxozxP546dSqTJk0CYObMmbRu3RqXy0WPHj3YvXt3SG263W6MMbz33nvFPmfSpElMnTq1xLZeeeUV\nXC4XiYmJtGnThqFDh3Lo0KGQ4ijOmWeWPCowPj6evn37+h8vXryYwYMHl/pcc+fO5ZxzziElJYXE\nxESuu+46fvnll6DHZGRksGbNmqDPyc7OJikpKeQ4Bg8eTIsWLfj1118BOHDgAPHx8SEfHw7Z2dkY\nY3j66af92+68885S3zliy5YtpKSk+B8vWLCAOnXqcOLECQC2bduGy+UK2sb999/PihUrgj6nuN/R\nQ4cO8eyzzwY9Njs7mzp16pCamkqrVq3o2LFjVNwhY9KkSZx33nmkpKTQvHlz/vSnP/HFF5X+kegX\nymspUm4OTW2TMKjkHGzatGnKwbyUg5WfcrC5QY+pDMrBSifihSSvkcCrxphMIAV4uLIDcDhUSJJy\nynwNlo2Cw3sB6/m+bFS5E5latWrx5ptvcuDAgVP2uVwuNmzYQGZmJtdddx1/+ctfQmpzwYIFdOnS\nhQULFpQrtvfee4/p06fz7rvvsm3bNjZt2kTnzp354YcfTnluXl74rzZv3LgxLH/g+/fvj9vtZtu2\nbZx22mkRCCK+AAAgAElEQVQsWrQo6PNDSWLKwul08ve//71Mx548eTIsMTRq1IgZM2Zw/HjZ73mQ\nnJzMnj17/GvmrFmzhlatWrF582YA1q5dS+fOnYO2MXnyZC677LIynT/UD96EhAQ2b97M9u3bWbhw\nIU8++SRz5swp0znDafTo0bjdbr7++mv69+9P9+7d2b9//ynPq4j3VGHRnsRIFWEckK9CkpRDBHKw\n1NRU5WDKwQDlYIGUg4VPtOdgUVFIsta6rbXtrbUua+0frbU/VXYMvhFJmtomxXp3Asy5qvivf9wJ\nJ44WPObEUc/24o55d0KJp61RowbDhg1j+vTpp+y75JJLOP300wHo1KkT+/btK7E9ay2vv/46c+fO\n5Z///CfHjh3z75syZQoXXnghXbp04csvv/Rvf/HFF+nQoQNt2rShb9++/qtFU6ZMYerUqZx33nmA\n50N4yJAhtGjhGWAYHx/P+PHjadu2La+//nqx7Xz77bdcfPHFJCcnc++995bYB58xY8YwZcqUU7Yf\nPHiQP/7xj7hcLjp16kRmZmZI7Z08eZLc3FzOOussAJYtW8ZFF11Eamoql112GT/88APZ2dk8//zz\nTJ8+nZSUFFatWsUPP/xAnz59aNOmDW3atPEnOHl5edx6660kJiZyxRVXcPTo0WCn54477mD69Omn\nJCTWWsaNG0dSUhLJycn+JCsjI4OuXbtyzTXX0Lp1a7Kzs2nZsiWDBw/mwgsv5KabbmLFihWkpaXR\nvHlz1q1bV+JrcM4559CjRw/mzZt3yj63202nTp1wuVz06dOHn34q+k+1w+Ggffv2rF3rmbG8ceNG\nRowY4X9d1q5dS1pamn9ft27daNeuHT179uT7778HPFcHFy9eDMA777xDy5YtadeuHaNGjeLqq6/2\nn+uLL74gPT2dZs2a8dRTTwEwYcIEdu7cSUpKCuPGjSuxzwDNmjVj2rRp/jZyc3MZMmQIHTt2JDU1\nlX/84x+A52c6duxYkpKScLlc/iuHkydPpkOHDiQlJTFs2DCstezcuZOuXbv6z/H111/Ttm3pZm73\n79+fK664gvnz5wOnvqeK+5mkp6dz1113kZKSQlJSkv9nX9x7o/CVxaSkJLKzs8v0WoqUmhbblpJE\nYQ526aWXKgdTDqYcLEpzsF27dhXIuZSDhV9UFJKigVMjkqS88n4t3fZSGDFiBK+++iqHDx8u9jmz\nZ8+mV69eJba1Zs0amjZtSkJCAunp6bz99tuA58Nk4cKFuN1u3nnnHdavX+8/5k9/+hPr169ny5Yt\ntGrVitmzZwOe4bEl/VFu0KABmzZtYsCAAcW2c9ddd3H77beTlZXFueeeW2IffPr168emTZv45ptv\nCmx/4IEHSE1NJTMzk4cffphBgwYFbWfRokWkpKRw3nnncfDgQXr37g1Aly5d+Pzzz9m8eTMDBgzg\nscceIz4+nuHDh/uvWHTt2pVRo0bRrVs3tmzZwqZNm0hMTAQ8H1ojRoxg27Zt1K9fnzfeeCNoHOef\nfz5dunTh5ZdfLrD9zTffxO12s2XLFlasWMG4ceP8H/abNm1ixowZfPXVVwB88803jBkzhh07drBj\nxw7mz5/P6tWrmTp1Kg8/HNpgz/HjxzN16tRTrrYMGjSIRx99lMzMTJKTk3nwwQeLbSMtLY01a9aQ\nm5uLw+EgPT29QBLTuXNnTpw4wciRI1m8eDEbN25kyJAh3HPPPQXaOXbsGLfddhvvvvsuGzduPOWq\n0I4dO3j//fdZt24dDz74ICdOnOCRRx4hISEBt9vN448/HlKfAdq2bcuOHZ47eE6ZMoXu3buzbt06\nVq5cybhx48jNzWXWrFlkZ2fjdrvJzMzkpptuAjzDz9evX8/WrVs5evQoy5cvJyEhgXr16uF2uwGY\nM2cOt9xyS8jxFBUXFHxPBfuZ/PLLL7jdbp599lmGDBkClP69UdbXUqRUjFEhScpHOViRlIMpB6uu\nOVizZs2Ii4tTDlaBouGubVHBocW2pSS9Hgm+f3qSd0h1IXFN4Ja3y3XqevXqMWjQIJ566inq1Klz\nyv5XXnmFDRs28PHHH5fY1oIFCxgwYAAAAwYM4KWXXqJv376sWrWKPn36+K+uXXPNNf5jtm7dyr33\n3suhQ4fIycmhZ8+ep7SblZXFwIEDOXLkCA8//DD9+/cH8H8P1s6nn37q/4AfOHAg48ePD+l1cTqd\njBs3jr/97W8FErjVq1f72+vevTs//vgjP//8M/Xq1Suynf79+zNz5kystYwYMYLHH3+cCRMmsG/f\nPvr378/333/P8ePHadq0aZHHf/TRR7z00kv+mOLi4vjpp59o2rSpf556u3btyM7OLrFPEydO5Npr\nr+Wqq64q0J8bbrgBp9NJ48aN6datG+vXr6devXp07NixQFxNmzYlOTkZgMTERHr06IExhuTk5JDO\nD54rQxdddJH/CgzA4cOHOXToEN26dQPg5ptv5vrrry+2jc6dO/PEE0/QtWtXOnToQEJCAt988w37\n9+8nNzeXhIQEtm7dytatW7n88ssBz5Wmwknsjh07aNasmb+PN9xwA7NmzfLvv+qqq6hVqxa1atWi\nUaNGRQ7pD5UN+Pv/wQcfsHTpUv8VomPHjrFnzx5WrFjB8OHDqVHD8/F59tlnA7By5Uoee+wxfvnl\nFw4ePEhiYiK9e/dm0KBBzJkzh2nTprFo0aKQrkgGiwv++54q6Wdyww03AJ6Riz///DOHDh0q9r0h\nElFabFtKohxMOZhyMOVgpcjB0tPTGTp0qHKwCqQRSV7/XWw7woFI7OpxP9QslGDUrOPZHgZ33303\ns2fPJjc3t8D2FStWMGXKFJYuXUqtWrWCtpGXl8cbb7zB5MmTiY+PZ+TIkbz33nv+edTFGTx4MDNn\nziQrK4sHHnjAPxQ7MTGRTZs2AZ452W63m169ehUYPnzGGWeU2A54FrQsi4EDB/LJJ5+wd28RCWQp\nGWPo3bs3n3zyCQAjR47kzjvvJCsrixdeeKFAvKEI/Hk4nc6Q5tA3b96clJQUXnsttHUdAl/fwud0\nOBz+xw6Ho1Rz+P/617/y6KOPnvIBGqpOnTqxfv16Pv30Uy6++GLAc7Vv4cKFdOzYEfB8OCcmJuJ2\nu3G73WRlZfHBBx+U6jxleY2Ls3nzZlq1auWP7Y033vDHtmfPHv++wo4dO8Ydd9zB4sWLycrK4tZb\nb/X/rlx77bW8++67LF++nHbt2tGgQYNyxQWn/syLU/g9Few9VqNGDfID1qgp7e+6RC9jTG1jzDpj\nzBZjzDZjzIPe7ZOMMd8ZY9zerz9ELEgtti3lpRxMOVghysGUg/Xt21c5WAVSIcnL4X0lNLVNyszV\nD3o/5bn6hfF87/2UZ3sYnH322fTr188/FBk8d2a47bbbWLp0KY0aNSrw/JYtW57SxocffojL5WLv\n3r1kZ2eze/du+vbty5IlS7jkkkt46623OHr0KEeOHGHZsmX+444cOcK5557LiRMnePXVV/3bJ06c\nyNixYwusCxBsDnpx7aSlpbFw4UKAAtuL60egmjVrMnr06ALrF3Tt2tXfTkZGBg0bNiz2Slhhq1ev\nJiEhAfBcbfCtPRA4X71u3boFEr8ePXrw3HPPAZ5EMdjw91Dcc889BeZKd+3alUWLFpGXl8f+/fv5\n5JNP/IlAWaxbt67E4bQtW7akdevW/t+DuLg4zjrrLFatWgXAyy+/7L8KU5S6devSpEkT5syZ409i\nLr74Yp588kk6deoEQIsWLdi/fz+fffYZACdOnGDbtm0F2mnRogW7du3yX8kraRFO37lLSswLy87O\nZuzYsYwcORKAnj178vTTT/uTON8ilZdffjkvvPCCP1k6ePCg/wO/YcOG5OTk+NcVAKhduzY9e/bk\n9ttvLzCkeuLEiSxZsqTEuN544w0++OAD/5WtQCX9THyv1erVq4mLiyMuLq7Y90Z8fLz/PySbNm3i\n22+/Bcr2WkrU+RXobq1tg+eGJlcaYzp590231qZ4v96JWITGAfkakSTlEIEcbPPmzcrBlIOVmnKw\nUykHi80cTIUkLy22LWHh6gejt8KkQ57vYUpgfMaMGVPgziH33XcfOTk5XH/99aSkpPiHQh84cKDI\nqxgLFiygT58+Bbb17duXBQsW0LZtW/r370+bNm3o1asXHTp08D/noYce4qKLLiItLa1AUvGHP/yB\nUaNG0atXL1q3bk3nzp1xOp1FDrsO1s6MGTN45plnSE5O5rvvvvNvL64fhf35z38ucBVk0qRJbNy4\nEZfLxYQJE4pctDCQb36+y+Vi8+bN3Hffff52rr/+etq1a0fDhg39z+/duzdLlizxL/Q4Y8YMVq5c\nSXJyMu3atSv3XUwSExMLrHvQp08fXC4Xbdq0oXv37jz22GP85je/KXP7e/bsKXJ4fmH33HNPgQR1\n3rx5jBs3DpfLhdvt5v77g1/pTUtL49dff6VJkyaAJ4nZtWuXPwE77bTTWLx4MePHj6dNmzakpKSc\ncieWOnXq8Oyzz3LllVfSrl076tatS1xcXNDzNmjQgLS0NJKSkoIuTrhz507/rWf79evHqFGj/InG\nfffdx4kTJ/y3Vfb9TgwdOpQLLrjA//OYP38+9evX59ZbbyUpKYmePXsWeO8A3HTTTTgcDq644gr/\ntqysrGJ/hr5FRJs3b84rr7zCRx99xDnnnFPkc4P9TGrXrk1qairDhw/3/+enuPdG3759/cPBZ86c\nyYUXXliq11Kil/XI8T6s6f2KrmTHODQiScqvknOwcePGKQdDOVhpKQfzUA5WBXIwa21MfbVr186G\n28qVK+2G7B/t78Yvtx9/+Z+wtx8tVq5cGekQKkU4+/nFF1+Era2K8PPPPxe5fdmyZXbGjBmVHE34\n+fpRXD+rmsrq59ixY+2WLVsq5VxFKW0/jxw5Yq21Nj8/395+++122rRpFRFWhfj555/t448/bu+9\n994C26+44ooKPW+3bt3s+vXrK/Qcgcrzu1vU31lgg42CnKOqfAFOwA3kAI96t00CdgOZwN+Bs0pq\np6JyMPvOeGsfbhL2tqOJcrDSi+YcLNjfPOVgsUk5WNFiNQfz9bOq52Dl/b0tTw6mxba9HP41kqLr\nIp1IWQTemjOW+foRzcM6Y1E03vkhmBdffJF58+Zx/PhxUlNTue222yIdUshuvPFGdu/ezUcffVRg\n+/vvvx+hiKQ6stbmASnGmPrAEmNMEvAc8BCe0UkPAU8AQwofa4wZBgwDaNy4MRkZGWGNLScnh73/\n/o5zT/7K6jC3HU1ycnLC/tpFo3D2My4uLmo///Py8oqNrVu3bnTr1i1qYw+Vrx/B+lqVVFY/faNW\nIvWalrafM2fOZMGCBRw/fhyXy8UDDzwQE78PeXl59O7dm2+//Zbly5cXiHnx4sUV2oe8vDxyc3Mr\n5XUq7+/tsWPHyvw3W4UkL6dDhSSRqmzOnDnMmDGjwLa0tDSeeeaZSo1jxIgRfPrppwW23XXXXWW6\nJWk0qIz+jB49mtGjR5fpWN+dbALVqlWLtWvXhiO0Es2fP5+6detWyrkCVYf/sErpWWsPGWNWAlda\na/2LgBhjXgSWF3PMLGAWQPv27W16enpYY8rIyKDJBb+DHzy3qK6qMjIyqnT/fMLZz+3bt0fk72co\njhw5ErWxhVs4+hoLOVgs/kzLkoOVtp8TJ05k4sSJZYovkjlY4bXGKpNv3aTKUN7fW98UvLJQIcnL\nPyLJqpAkBVlry3w3C4ket9xyS1QUayo7aapo0d4f351sJDpZfeZWOGPMOcAJbxGpDnA58Kgx5lxr\n7ffep/UBtkYuSC22LUVTDlY1KAerGNHeH+Vg0a28OZgKSV6+EUn5GpEkAWrXrs2PP/5IgwYNlMiI\niISRtZYff/yR2rVrRzqUqu5cYJ4xxonnJiuvWWuXG2NeNsak4Jnalg1Ebs6oFtuWIigHExGpGOHI\nwVRI8vJPbdPVUQlw/vnns2/fPvbv3x/pUIp07NixavGfMPWzaqku/YTq09ey9rN27dqcf/75FRCR\n+FhrM4FTxq1bawcW8fTIME4VkuQU0ZyDVZe/7VB9+qp+Vi3qZ8nKm4OpkOSlxbalKDVr1qRp06aR\nDqNYGRkZZZ7XGkvUz6qluvQTqk9fq0s/pYIYB1hNbZOCojkHq05/86pLX9XPqkX9rHiOiJw1Cvmn\ntmlEkoiIiEjlcTg935WDiYiIxAQVkryc/hFJEQ5EREREpDox3nRU09tERERiggpJXg7vK6HFtkVE\nREQqkW8hZd25TUREJCaokOSlxbZFREREIsD4prZpRJKIiEgsUCHJy6nFtkVEREQqn39qm0YkiYiI\nxAIVkry02LaIiIhIBGiNJBERkZiiQpKXr5B0Mk+FJBEREZFK49DUNhERkViiQpKXQyOSRERERCqf\nb0SSFtsWERGJCSokeWmNJBEREZEI8C+2rRxMREQkFqiQ5KW7tomIiIhEgPdinhbbFhERiQ0qJHk5\nvElMvkYkiYiIiFQeLbYtIiISU1RI8vKPSFIOIyIiIlJ5tNi2iIhITFEhyctbR9LUNhEREZHKpMW2\nRUREYooKSV7GGBxGU9tEREREKpXRiCQREZFYokJSAKfDaESSiIiISGXSGkkiIiIxRYWkAA5jNCJJ\nREREpDKpkCQiIhJTVEgK4HQY8lRIEhEREak8WmxbREQkpqiQFMBpNLVNREREpFIZ7x1PtNi2iIhI\nTFAhKYDTqRFJIiIiIpVKU9tERERiigpJAZxGhSQRERGRSqW7tomIiMQUFZICOByGfE1tExEREak8\n/hFJmtomIiISC1RICqARSSIiIiKVTItti4iIxBQVkgJ47toW6ShEREREqhHfiKR8JWEiIiKxQIWk\nAA4HmtomIiIiUpm02LaIiEhMUSEpgKa2iYiIiFQyFZJERERiigpJARwOQ55GJImIiIhUHi22LSIi\nElNUSArgNIZ8jUgSERGRKsIYU9sYs84Ys8UYs80Y86B3+9nGmH8aY772fj8rYkFqsW0REZGYokJS\nAM9i2yokiYiISJXxK9DdWtsGSAGuNMZ0AiYAH1prmwMfeh9Hhn+xbY1IEhERiQU1Ih0AgDEmGzgC\n5AEnrbXtIxGHwxgtti0iIiJVhrXWAjnehzW9Xxa4Fkj3bp8HZADjKzk8D62RJCIiElOiopDkdam1\n9kAkA9CIJBEREalqjDFOYCPwe+AZa+1aY0xja+333qf8G2gcuQA1tU1ERCSWRFMhKeKcDkOe6kgi\nIiJShVhr84AUY0x9YIkxJqnQfmuMKTIDMsYMA4YBNG7cmIyMjLDGlpOTw6bNX9IWyNzi5uA+Z1jb\njxY5OTlhf+2ikfpZ9VSXvqqfVYv6WfGMjYKpXMaYb4HDeKa2vWCtnVVof2AS027hwoVhPX9OTg5n\nnnkm/+/zo5zmhL90qBPW9qOFr59VXXXpJ1SfvqqfVUt16SdUn76Gu5+XXnrpxkhNc6/qjDH3A78A\ntwLp1trvjTHnAhnW2hbBjm3fvr3dsGFDWOPJyMgg/fd14f+6w42vwYU9w9p+tMjIyCA9PT3SYVQ4\n9bPqqS59VT+rFvWz7IwxIeVg0TIiqYu19jtjTCPgn8aYHdbaT3w7vYWlWeBJYsL9Yvl+AM/u+AyH\nA9LTLw5r+9FCb6iqp7r0Vf2sWqpLP6H69LW69DMWGWPOAU5Yaw8ZY+oAlwOPAkuBm4FHvN//EbEg\nHVojSUREJJZERSHJWvud9/t/jDFLgI7AJ8GPCj+HA/KVw4iIiEjVcS4wz7tOkgN4zVq73BjzGfCa\nMebPwG6gX8Qi1F3bREREYkrEC0nGmDMAh7X2iPffVwCTIxGL02E4kadKkoiIiFQN1tpMILWI7T8C\nPSo/oiJosW0REZGYEvFCEp67hCwxxoAnnvnW2vciEYjD6K5tIiIiIpXKNyLJakSSiIhILIh4Icla\nuwtoE+k4wDMiKT8KFh8XERERqTaM1kgSERGJJY5IBxBNnBqRJCIiIlK5HL6pbcrBREREYoEKSQEc\nDhWSRERERCqVFtsWERGJKSokBXAaTW0TERERqVSa2iYiIhJTVEgK4NSIJBEREZHKpcW2RUREYooK\nSQEcDoPqSCIiIiKVSCOSREREYooKSQFqaESSiIiISOXyL7atQpKIiEgsUCEpgEN3bRMRERGpXFps\nW0REJKaokBTA6UCFJBEREZHKpKltIiIiMUWFpABOhyFPd20TERGRKGKMcRpj/hnpOCqM0dQ2ERGR\nWKJCUgCHMeRrRJKIiIhEEWttHuA0xtSLdCwVwhjPdxWSREREYkKNSAcQTTQiSURERKLUYWCLMeYD\nINe30Vr7v5ELKUy02LaIiEhMUSEpgBbbFhERkSi13PtV9WixbRERkZiiQlIAp0NT20RERCT6WGtn\nG2NqAL/3bvrGWnsykjGFjRbbFhERiSkqJAXQ1DYRERGJRsaYrsDLwHeAAX5jjBlorf00spGFQTQt\ntn3wW6hRC+r9NtKRiIiIRC0VkgJ4FtuOdBQiIiIip5gO/MFa+wWAMaYVnsJS+4hGFQ7+EUlRMLVt\nwQ3QsDn0fznSkYiIiEQt3bUtgNOBRiSJiIhINDrNV0QCsNZuB06LYDzh419sOwpysPyT/41HRERE\niqQRSQGcWmxbREREotMmY8zzwCvexzcBmyMYT/hE02LbNg8cSo9FRESC0SdlAKfDk8jk51scDhPh\naERERET8hgOjgL94H68Cno5cOGFkvDlXNKyRlH9ShSQREZES6JMygNN7QexkvuU0FZJEREQkChhj\nnMAsa+0g4LFIx1MhjDNKCkl5/138W0RERIqkNZIC+EYh5UfDHH0RERERwFqbBzQzxtSMdCwVxjii\nY7Ht/DytkSQiIlICjUgK4PQOrdY6SSIiIhJldgKrjDH/AHJ9G621T0UupDAyjigZkaSpbSIiIiUJ\nyyeld8j1ZmutKxztRYrTOyJJd24TERGRKLPH+3W696tqcTijY7Ft3bVNRESkRGEpJFlr84wxe4wx\n51prvw9Hm5Hg8I5IyteIJBEREYkS3gt2Na21EyIdS4UxDoiGC3k2XyOSREREShDOT8o6wHZjzKcU\nHHLdL4znqFD+EUkqJImIiEiU8F6wS490HBUqahbb1ogkERGRkoSzkBTzdxFxaGqbiIiIRKdNxpg3\ngdcpeMFuaeRCCiNjomSx7ZO6a5uIiEgJwlZIsta+b4w5G2jr3bTRWvtTuNqvDE7/1LYIByIiIiJS\nUF08BaQ/BGyzQNBCkjGmCfAS0Nj7/FnW2hnGmEnArcB+71P/aq19J9xBhyxqFtvO09Q2ERGREoTt\nk9IY80fgaWANYICLjDEjY+lKmdPh+a4RSSIiIhJNrLUDy3joSWCMtXaTMaYusNEY80/vvunW2qnh\nibCcomGxbWs9o6JUSBIREQnKEca2JgEdrbX9vesidQImh7H9CqfFtkVERCSaGGMWBPz74UL73i3p\neGvt99baTd5/HwG2A+eFO85yi4YRSb5CltZIEhERCSqchSRnoTu2/RuIqU9iLbYtIiIiUaZlwL+v\nLLTvN6VpyBgTD6QCa72bRhpjMo0xfzfGnFXmCMMhGhbbtiokiYiIhCKcY3c/NMYsBeZ7H98AfBjG\n9iucU4tti4iISHQJlpSEnLAYY84E3gDuttb+bIx5DnjI28ZDwBPAkCKOGwYMA2jcuDEZGRmhRx6C\nnJwcMjIy6HT8OD99/x1fhrn90nDkHeMSYOe3u9mbF944fP2s6tTPqqe69FX9rFrUz4oXzkLSaDzF\no0u8jxd6v2KGr5CkqW0iIiISJU43xiTjGUVex/tv4/2qE0oDxpiaeIpIr1pr3wSw1v4QsP9FYHlR\nx1prZwGzANq3b2/T09PL3pMiZGRkkJ6eDptP59zGjTk3zO2XyrHDsAoSfn8hCZ3DG4e/n1Wc+ln1\nVJe+qp9Vi/pZ8cJSSDLGOIG3rbVX8t8RSTHHd9e2kyokiYiISHTYDzzr/feBgH/7HgdljDHAbGC7\ntXZawPZzA5Yk6ANsDU+4ZeSIpjWStNi2iIhIMGH5pLTW5hljahlj6noXcoxJDq2RJCIiIlHEWtu1\nnE2kAQOBLGOM27vtr8ANxpgUPFPbsoHbynme8jGOyN+1TYtti4iIhCScl1wOAm5jzHtArm+jtfYv\nYTxHhfKNSMrXGkkiIiJSBVhrV+OZBlfYO5UdS1BRcde2k57vKiSJiIgEFc5C0gfer5ilu7aJiIiI\nRIBx/veuaZFiNbVNREQkFOFcI6mTtfaWcLQXKb6pbRqRJCIiIlKJomlEktGIJBERkWDCuUbShcaY\nGtbak+FoMxJ8U9vyIpzHiIiIiAAYY1zB9ltrMysrlgrlcEKkL+RpsW0REZGQhPOT8ivgY2PMWxRc\nI+nZ4g+JLg6H57umtomIiEiUeCbIPgtcUlmBVChjtNi2iIhIjAhnIenf3q+zvV8xR4tti4iISDQJ\nw13bYkM0TW1TIUlERCSosBWSrLUTw9VWpGixbREREYlWxpiWQGugtm+btXZ+5CIKo2hYbNtfSNLU\nNhERkWAc5W3AGPNhwL9nF9q3KcQ2nMaYzcaY5eWNpzx8i23naUSSiIiIRBFjzL3ALOB5oBfwJHBd\nRIMKp2gYkaS7tomIiISk3IUkCk5jSy20z4TYxl3A9jDEUi41fHdt04gkERERiS79gUuB7621A4E2\nwBmRDSmMHM7IF5J8ayTprm0iIiJBhaOQFKzqUmJFxhhzPnAV8H9hiKVcHEZT20RERCQqHbXW5gEn\njTF18axL+bsIxxQ+xqHFtkVERGJEOMbuxhljeuEpStUzxvzBu90A9UI4/kngL0Dd4p5gjBkGDANo\n3LgxGRkZ5Qq4sJycHDIyMth7xHMlbEvWVk7bvyOs54gGvn5WddWln1B9+qp+Vi3VpZ9QffpaXfoZ\nYZuNMfWBvwMbgJ+BdZENKYyMAyK9tIDWSBIREQlJOD4p1wGDvP9eDwwM2Lc+2IHGmKuB/1hrNxpj\n0sdXvr0AACAASURBVIt7nrV2Fp51AWjfvr1NTy/2qWWSkZFBeno6X/1wBD79hFatW5Pu+m1YzxEN\nfP2s6qpLP6H69FX9rFqqSz+h+vS1uvQzkqy1t3n/+Ywx5n2gnrU2pLUoY0JUjEjSXdtERERCUe5C\nkrX2hnIcngZc4x3FVBvPiKZXrLX/U964ykJT20RERCQaGWM+sNZeAWCt/abwtphnHGCPRzYGLbYt\nIiISknCskVRm1tqJ1trzrbXxwADgo0gVkQCcvsW2Iz20WkRERAQwxpxmjKkHNDbG1DXG1PN+nQ9c\nEOn4wiYa7tqWr0KSiIhIKPRJGcDpH5EU4UBEREREPEYA/ws0Ar4I2P4z8HxEIqoIDmf0TG0zEb3O\nKiIiEvWippBkrc0AMiIZg8ObN+RrapuIiIhEAWvtdGC6MeZua+2TkY6nwmhEkoiISMwo9ydlwF3a\nimStfae856gsvqlteZraJiIiItHlGWPMHcAl3scZwP9Za09GLqQwMs4oKCTprm0iIiKhCMcn5cAg\n+ywQO4UkLbYtIiIi0WkmcAbwd+/j/wHaAsMiFlE4RcWIJN21TUREJBSRvmtbVHFosW0RERGJTp2s\ntW0CHn9gjNkSsWjCzZjIF5J859eIJBERkaDC+klpjOkBJAK1fdustY+F8xwVSSOSREREJErlG2Pi\nrbXZAMaYeKDq3B4kmhbb1ogkERGRoMJWSDLGPA00BtKAl4A+wOfhar8y+EYkqZAkIiIiUWY8sMoY\n8yVggN8Df45sSGEUTVPbjApJIiIiwYRzRFI3a63LGJNprZ1ojPkbsCyM7Ve4GpraJiIiIlHEGNPJ\nWvu5tfYDY8yFQCvvru3W2qORjC2somKxbd21TUREJBTh/KT0JTPHjDGNgIPAb8PYfoXz3bXtpEYk\niYiISHR4Fs+i2ngLR5siG04FMQ6w0TK1TYUkERGRYML5SfmBMaY+MA1wAyeBhWFsv8I5vGsk5auQ\nJCIiIlJ5omJqm29Ekqa2iYiIBBPOQtL91loLLDTGLAdOB/aHsf0K5/SvkRThQEREREQ8mhljlha3\n01p7TWUGU2EcTsiP9F3bVEgSEREJRTgLSRv579DrHCDHGLPJty0WeOtI5GmNJBEREYkO+4EnIh1E\nhTMmCkYkaWqbiIhIKMr9SWmMaYjnbm21jTGt8NxJBKAenlFJMcMYg8NoapuIiIhEjSPW2o8jHUSF\ni4qpbbprm4iISCjCccnlWmAocAHw94DtR4BJYWi/UjkdRiOSREREJFpkRzqASmGcUbDYtreQpRFJ\nIiIiQZX7k9JaOxuYbYy50Vo7PwwxRZTDGI1IEhERkahgrf1TeY43xjQBXsIzetwCs6y1M/4/e/cd\nH1d15///dWZULdlykXvBFRdsY4MpMQELO5CQYCBscCobUiB1Sd1Nwm+/hJANG5JN2JAQCAkE0uNk\n6SUFB5liG2JjIww2GDfcZbnIkqw+5/fHuaMpmiZppBmN3s/Hw4879849d84ZjayZz3zO5xhjhgN/\nBCbjglUrrLXHetbbHsimjCTVSBIREUnIl8ZrPWqMucUY85z37zvGmNI0Xr9P+H2GdgWSREREJDe0\nAV+x1s4BzgU+Z4yZA3wdWGWtnQGs8vYzx+fPjkCS8bl6TSIiIhJXOgNJvwD8wHXePx+RU936Bb/R\n1DYRERHJDdbaA9bal7zbdcAWYDyuNMH93mn3A1dkpoce48uOVds0rU1ERCSpdAaSZlprv2atfc37\n9w3g1DRev0/4fJraJiIiItnLGHNTN9tNBhYCLwCjrbUHvLsO4qa+ZU62TG1TIElERCSpdP61bDbG\nnGWt/SeAMWYR0JzG6/cJFdsWERGRLHcZXVzQxCs38H/AF621J0zY9C1rrTXGxHzzY4wJZpozevRo\nKisru9nl2Orr66msrGTa3v2Ma2vh2TRfvyumvbWLsQHLc73Qh+A4c53GmXsGylg1ztyicfa+dAaS\nPgf8xntjYoB24CNpvH6fcDWSMt0LERERkbi6VMTHGJOPCyL91lr7gHf4kDFmrLX2gDFmLFAdq621\n9m7gboBFixbZioqK7vc6hsrKSioqKqBlFRw0pPv6XXLyCagp7JU+dIwzx2mcuWegjFXjzC0aZ+/r\n8dQ2Y8zlANba9dbaWcAFwPnW2jnBOfn9iV+rtomIiEh2OzPVE437hu8eYIu19odhdz0CfNS7/VHg\n4fR1rxuypdi2VmwTERFJKh01kr4ZvmOtrbbWxvxWqz/w+wxtCiSJiIhIlrK2SxGX84CrgaXGmE3e\nv3cD3wUuMsZsA97h7WeO8UGgPaNdUI0kERGR1OivZRSfDwKqkSQiIiI5wFr7HPGnwi3ry74klA3F\ntrVqm4iISErS8ddyljEm1hQ2g6vfeEYaHqPP+I2hXRlJIiIiIn3H+AEL1oLpUgmo9Am0e/0QERGR\nRNIRSNoJXJWG62QFn1ZtExERkSxjjCkE/gWYTNj7N2vtzZnqU1oZr9qCDWQumKMaSSIiIilJRyCp\nxVq7PQ3XyQoqti0iIiJZ6GGgFtgANGe4L+kXHkgiU4EkTW0TERFJRTr+Wq5LwzWyht+nqW0iIiKS\ndSZYa9+V6U70Gp8XSAq0gz8/M31QRpKIiEhKerxqm7X2M+noSLbwGaNi2yIiIpJt1hhj5mW6E70m\nIiMpQ2xAGUkiIiIp0F/LKMpIEhERkSz0duAaY8xO3NS24KIm8zPbrTQJ1kWy7ZnrgzKSREREUqJA\nUhRXbDvTvRARERGJcEmmO9CrsiEjKdCmVdtERERS0OOpbbEYY37aG9ftC36Dim2LiIhIVrHW7gaG\nAsu9f0O9Y7khKwJJKrYtIiKSil4JJAHn9tJ1e12ez6epbSIiIpJVjDFfAH4LjPL+/cYY82+Z7VUa\nBaeUBTKckaRAkoiISFK99dfySC9dt9f5fNCuYtsiIiKSXT4BnGOtbQAwxtwKrAV+nNFepUvWZCRp\napuIiEgyvZKRZK29qDeu2xdUbFtERESykAHCK1G3e8dyQzYEkqwCSSIiIqlQ/m4Un1EgSURERLLO\nL4EXjDEPevtXAPdksD/p1RFIirFqW9VKWHUz1O6Fsgmw7EaYvyL9fdDUNhERkZTor2UUv88Q0NQ2\nERERySLW2h8aYyqBt3uHPmat3ZjBLqVXvIykqpXw6PXQ2uj2a/e4fUh/MEmrtomIiKREgaQofmUk\niYiISJYwxgyx1p4wxgwHdnn/gvcNt9YezVTf0qqj2HZURtKqm0NBpKDWRnc87YGkgDKSREREUpC2\nv5bGmHLg48Dk8Otaa69L12P0BZ9qJImIiEj2+B1wKbABCH+DYrz9qZnoVNrFy0iq3Rv7/HjHeyLQ\nphpJIiIiKUjn1y4PA+uA54gsBtmv+I2mtomIiEh2sNZe6m2nZLovvSpeIKlsgpvOFq1sQvr7oECS\niIhIStIZSCqx1n4ljdfLCK3aJiIiItnGGLPKWrss2bF+K1ibKDqQtOzGyBpJAPnF7ni62XZNbRMR\nEUmBL43XetIYc3Ear5cRPp9BcSQRERHJBsaYIq8+UrkxZpgxZrj3bzIwPrO9SyNj3DY6kDR/BSy/\nHQoHu/3BY92+Vm0TERHJmHT+tfw08DVjzEmgBW/uvrV2eBofo9f5DcpIEhERkWzxKeCLwDhcnSQv\n4sIJ4CeZ6lTaxSu2DS5otH8TrLsDrn4IRs3qnT4E2rVqm4iISArSGUgq704jY0wR8AxQ6PXnz9ba\nb6axX12iYtsiIiKSLay1PwJ+ZIz5N2vtjzPdn14Tr0ZSUKDVbdube68PgXbVSBIREUlBjwNJxpgZ\n1tptwGlxTqlKcolmYKm1tt4Ykw88Z4x50lq7rqd96448n4pti4iISHax1v7YGDMXmAMUhR3/VeZ6\nlUbJAkntLd62tff6oKltIiIiKUnHX8uvA58A7ohxnwUuSNTYWmuBem833/uXsUiOim2LiIhItjHG\nfBOowAWSngAuwa2UmyOBpGCx7TgL/7a3eduW3uuDVm0TERFJSY8DSdbaT3jb87t7DWOMHzfvfzpw\nh7X2hZ72q7t8RoEkERERyTrvA04HNlprP2aMGQ38JsN9Sp+UM5J6MZBkA8pIEhERSUFa/1oaY2bR\nOeX6d8naWWvbgQXGmKHAg8aYudbazWHXvQ64DmD06NFUVlams9vU19d3XPPggWaaWtrS/hjZIHyc\nuWygjBMGzlg1ztwyUMYJA2esA2WcGdZorQ0YY9qMMUOAamBipjuVNh3FtpPUSGpTRpKIiEimpS2Q\nZIz5T+BiYBbwV+CduJTrpIGkIGvtcWPM08C7gM1hx+8G7gZYtGiRraioSFe3AaisrCR4zcoTr/Ji\n9V7S/RjZIHycuWygjBMGzlg1ztwyUMYJA2esA2WcGbbe+8Lt57gs7npgbWa7lEbGW4wubkZSsNh2\nLweStGqbiIhIUr40Xuv9wIXAAWvt1bj065JkjYwxI703RhhjioGLgK1p7FeX+H2GgKa2iYiISBax\n1n7WWnvcWnsX7r3SR621H8t0v9Im6dS2vggktWtqm4iISArS+dey0Vrb7qVcDwYOAqek0G4scL9X\nJ8kHrLTWPpbGfnWJ32do16ptIiIikgWMMWckus9a+1Jf9qfXJC223cs1kqx1j61AkoiISFLp/Gu5\n0cssuhdYD5wAXkzWyFpbBSxMYz96xGdM3On5IiIiIn3sB962CFgEvAwYYD7u/dbbEjU2xtwLXApU\nW2vnesduAq4FDnun3WCtfSLtPe+KTGckBbwAlmokiYiIJJWWQJIxxgA3WWuPA3cYY/4KDOmP35L5\nfSgjSURERLKCtfZCAGPMA8AZ1tpXvP25wE0pXOI+4CfAr6KO32at/Z/09bSHkgWSAr0cSLIKJImI\niKQqLTWSrLUW+HvY/pv9MYgE4DeGdtVIEhERkewyMxhEAvBWt52drJG19hngaG92LC06Vm1LNrWt\nNf41qlbCbXPhpqFuW7Uy9ccPtLmtim2LiIgklc5i25uMMVkzRa27fD63aogKbouIiEgWqTLG/MIY\nU+H9+zlQ1YPr/ZsxpsoYc68xZli6OtltHRlJcd5/tXuBnrbm2PdXrYRHr4faPYB120evTz2YFAwk\nqUaSiIhIUj3+a2mMybPWtuHqHP3TGLMdaMDN37fW2rhFIrOR31t+tt1afJgM90ZEREQEgI8BnwG+\n4O0/A9zZzWvdCXwbsN72B8DHY51ojLkOuA5g9OjRVFZWdvMhY6uvr6eyspLBJ97gTKCqahNH93V+\ne3pW3TFKgJ1vvsHuts59OHftDRS1NkYebG2k6fEbWHd0VNJ+5LXW8XZg246d7GvpfP2eCo4z12mc\nuWegjFXjzC0aZ+9Lx9cuLwJnAJel4VoZ5/d7gaSAJV/ZzSIiIpIFrLVNwG3ev55e61DwtpfZFHe1\nXGvt3cDdAIsWLbIVFRU9ffgIlZWVVFRUwL4h8BLMn3sazIzxGFUFcBKmTBrPlFh9qKyJef2i5hpS\n6nP9YXgeZpw6ixlnp3B+F3WMM8dpnLlnoIxV48wtGmfvS0cgyQBYa7en4VoZF8xICqjgtoiIiGSY\nMWaltXaFMeYVXAZRBGvt/G5cc6y19oC3+15gcw+72XM9XbWtbII3rS3G8VR0TG3Tt4giIiLJpCOQ\nNNIY8+V4d1prf5iGx+gzfl8oI0lEREQkw4JT2S7tTmNjzO+BCqDcGLMX+CZQYYxZgAtM7QI+1fNu\n9lDSYttJAknLboSHPw/tYTWU8ovd8VR0rNqmGkkiIiLJpOOvpR8ohdwoKOQzCiSJiIhIdghmDllr\nd3ez/QdjHL6nR53qDUkzkloit9Hmr4CDm2HNj9z+oBHwru+646nQqm0iIiIpS0cg6YC19uY0XCcr\nKCNJREREsoUxpo4YU9oILWoypI+71DuCARwbJyMpGOiJF0gCmLAodHv++yODSE0n4E/XwDtvgVGz\nYlxfGUkiIiKpSluNpFzh84VWbRMRERHJJGvt4Ez3oU90ZCTFef/VkZHUGv8awVXbBo+D3c9H3vfm\nU7B9FWz/R5JAkjKSREREkvGl4RrL0nCNrNFRbDtOZrWIiIhIphhjRhljJgX/Zbo/aZNqse225tj3\nA7R5gaTpy+DgK9BUG7pvx9NuezzODEEV2xYREUlZjwNJ1tqj6ehItvB7z4gykkRERCRbGGMuM8Zs\nA3YCq3FFsp/MaKfSyee9AYtVbDsQCE15SzS1LZiRNOMiF5Da86Lbtxa2V7rbx+IEklRsW0REJGXp\nyEjKKb6OjCQFkkRERCRrfBs4F3jDWjsFlxG+LrNdSqNEGUmBsOlsCae2nXTbKRe4gNCu59z+ke1Q\n+5Z7jKQZSQokiYiIJKNAUhQV2xYREZEs1GqtPQL4jDE+a+3TwKJkjfqNRIGk8Cyk9gRT21obAQNF\nQ2HS26BqJbScDE1rm/FOl5EUK+s8mAmlVdtERESSUiApil/FtkVERCT7HDfGlALPAL81xvwIaMhw\nn9In0apt7almJDVC/iAwBiq+AXX7Yd1PYfvTMPQUmLoEWhvg5JHObVVsW0REJGXK342iqW0iIiKS\nhS4HmoAvAR8GyoCbM9qjdEqYkRQeSEpSIym/2N2efB6MOR3+8V+AhYISOL7H3XdsN5SUR7bV1DYR\nEZGUKSMpijKSREREJFsYY+4wxpxnrW2w1rZba9ustfdba2/3prrlhmAmUMxi210JJA1yt6tWQs3r\ngPd+rqUB1v/C3T6+K8ZjaNU2ERGRVCmQFEU1kkRERCSLvAH8jzFmlzHme8aYhZnuUK/oyEiK8f4r\nPHjUliiQdBLyi9ztVTdDW1Pk/W1efaVYK7dp1TYREZGUKZAEjDq0Gm6bCzcN5YLHL+Qy33MEYmRW\ni4iIiPQla+2PrLVvA5YAR4B7jTFbjTHfNMacmuHupU/CqW1twZNSn9pWuzf+ebFWbgsokCQiIpIq\nBZKqVjLz9Tugdg9gKT65n+/m/4LB2x7IdM9EREREALDW7rbW3mqtXQh8ELgC2JLhbqVPRyApVrFt\nL3hUUJq42HZb2NS2sgmxz/Hnw7FdnY8Hp7YZvTUWERFJRn8tV92MPxC5lOwg08LY9d/PUIdERERE\nIhlj8owxy40xvwWeBF4Hrsxwt9InUUZSsEZSwaDUM5KW3Ri6HZRf7Apwx5rapowkERGRlCmQFCf1\nuaBhfx93RERERCSSMeYiY8y9wF7gWuBxYJq19gPW2ocz27s0SlRsO5iFVFAC7c2d7w9qbYQ8L3g0\nfwUsvx3KJgLGbZffDpPf7t77RT+OVm0TERFJmf5alk3wprVFai4ZS1EGuiMiIiIS5hvA74CvWGuP\nZbozvSZhjaSwQFJ9dfxrtJ6MzEKav8L9C7f+ly7D6cR+GDoxdFyrtomIiKRMGUnLbqTdVxhx6KQt\nYPeCr2aoQyIiIiKOtXaptfYXOR1EgiSBpPAaSYmmtjV1ns4WbdgpbhtdcDv4uMpIEhERSUqBpPkr\neH3m57zUZ+fHbVdw6JTLMtgpERERkQHEeJlAMWskedlC+V6NJGtjX6P1ZKjYdjyHXnXb+97jVuyt\nWhn5GMpIEhERSUqBJKB69BL40mb4yhuAe1La471JEREREZH0SikjqcTbj7NyW2sj5CcoTFC1Ep7+\nTmi/dg88er073rFqmwJJIiIiySh/N9zg0ZwsP51l1S9R89If4Im7XUHGsgn8Ycg1AHzgxH0dx96Y\n+yX+UVDBp5dMA+Cu1duZP6GMxdPKOy65ZnsNVXtrO86JJVa7bzxQBcB/Xzm/S9cSERER6XeMcduE\nxbZLvf0WyCuIPCfQ7gpxJ8pIWnWzCzaFa210x8//itvX1DYREZGk9NcySt0py1hw+Ie0bP02GO8b\nsNo9XFl7C2CAto5jE5//OkvP+y7gAjt+H3zivvXcc80iFk8rZ832Gj5x33q+fPGMjuvftXo7fh+0\nB+gICMVq91jVAQCWnz6OxdPK+cYDVTxWdYCfXX1mx7Wig02xrh0rIJXr7e7b3Mxfj1ZlfT/VLvV2\nu3a2sNVsj9uuP41F7fQ72l/6lGq7NdtreGJHCxUViHSfMS4rKVmxbYhdJ6mtyW0T1UiKs1KvW8VN\nq7aJiIikSn8to9RPfhej1v+QIhP5JqWAzt+QFdPCmPXf46nxl7L14AnuWr2DS08fy3W/2sDlC8bx\n5OaDfPniGdxZuYPTxrmMI78Pbnl8Kze8ZxYAj2zaxw/+9gZnTBrGJ+5bz8JJQ9m05zgfPmcS+X4f\n1/1qAxfOGslTrx3CGMOWAyfwG8Or+0/w0MZ9GGM4dfRg5o4vY//xRn69djf/+rZT2LD7KK/sq+Xh\njfvAGGaOGULbsXZ2r93VcWzW2CHMG1/Gwdom7l+zi48unsxLbx2LaDdr7BDmjy+LODY7RruNUe3m\njB3CvAlDeWXv8U7HDtU2cd+aXVyzeDKb9hzvdM78CUOpinEsvN3Le45HnHPauFC7tfvb8Ffv7zhW\nfaKJXz6/i4+dN5mqvZHt5o4r6/R4wWOHTzRx7/O7+Ph5k3llb23EOfPGd24XPHa4rol7n9vFx98+\nmc370tfu9IlDeXlP5LHWE+0c9oXavbb/RMc5xhjmjx8a0S78WE1dM/c8t5NPvH0KWw547Tbtw2A4\nfUJYu6hjR+qb+cWzO7n2/ClsPejaPbJpH2BYMDHULvrY0fpmfv7sTq49fyqvH6xj057jPLJpPwAL\nJg5jwcShMY8drW/hD6+3ct2olrjtjta38PNnd3Tr2tnUrrUuwB//uSfr+9nTdmv3t5FXvT/r+5mO\ndq11AY76krfrD2OJ1e5AbSNfXvky187RdCBJg7iBpODUtkGR++GCmUaJMpLirNRL2YRQJpRqJImI\niCRlbD+rBbRo0SK7fv36tF6zsrKSCu+r1F01DUz68Th8JrW2AWuY2vzbmPeVFvo5e8oI3jrawI7D\nDUwpL2F/bRPvPm0Mf33tEDPHDGbD7mMYIM9vaG3vXz8LEREZ2MqK87nzI2fQsmdzx9/RdDDGbLDW\nLkrbBSUtevs9GN8eBed+Gi66OfKkDffBo1+AC/8/V+Poi6/A0EmR5xx/C/53Hlz2Ezjj6tgPVrXS\n1UQKn96WXwzLb4eGw/DXG+Drb0FRWbqG1yFinDlM48w9A2WsGmdu0Ti7L9X3YMpIijK5vITGknEU\nn9yf0vnWGHYUfojagtHUnXcDzxVfyHef3MqiycN5dtthth2qY9KIQQQCsP1wAwD/t3EfABt2H2PW\nmMHce81Z7DrSwOd++xLvP2sif/jnHr59+Vxa2wPc9OirvOu0MTy5+SDXL53OawfqeHDjPt67cDzv\nO3MC1sKfN+zloU37uGLBOP7lzAn8ecNeHt60n8sXjOPKMyYA8MBL7thlp4/jyjPGe8f28cjLoWPR\n+9HnvNc79mDUseh9LDy4MezYQq9d1LHofYvlwY37ePTlAyw/fWxEu/Bj4ftXLHDnPLRxH49WHWD5\n/LFMyzvKvHnzIo5dsXB8xP7lwXab9vFY1QEunR92rahj4fvBdg+ncCy4/555Y7l8wTjvnP08/kri\nY+H7l3nnPJLCsYc37eeJVw7w7nljuex075yXkx975OV9PPHKQd49b0zUOfGPLZ8/jkdf3s8Tmw/y\n7rljWO6dk+jYJd6xR1/ez5Nh+8FzEh2bmneMHW3DkrbrzrXVru/bTc07xmmnnZb1/cxEu2zsU6J2\nHzhrIounlVMZI8lDpMtSntoWo9h2R0ZSgqlt81e47aqbO+pdsuxGd/z5H7n7NLVNREQkKa3aFsOe\nhV+lkcgiji34aYmKu1nATwCfgWGthxj7zNfY/JdfcNfVZ3LvNWdx/8fPpqGlnYqZIzne2Mr1S6cz\ndFA+154/hSFFeVx97ilU1zXz+Cv7+fzvNnLHh8/g65fM5qcfPoMbHnyFbz7yKnd95Ey+977T+dnV\nZ3L7P97kqS2HuH7pdFa/cRhjwOeDZ7Yd5vql03lmWw1bD57g2W01XL90Os9uqyHfb8j3G57dVsNl\n0/J57s0aCvJ8FOT5eO5Nd95zb9awrbouYj/WOYV5Pgqjjr0Z1a4wz0dhflS7/M7H3jxc1+mconw/\nz795hOuXTuf5N49QlO/vdGz74fqI/eICP8UFfp7f7h3bfoRCv+l0bEdNfcT+oEI/gwr9rPGOrYlz\nbOeR+oj9kkI/JVHnxDq2K6zd2h1HKC3Ko7Qoj7U7Eh/bfbQhYn9wUR6Do84JP3bZtHzW7jjCW0cb\nWOeds27HEYYU5zGkOC/psT3HGli346i3f5QhxfkMKc5Pemzv8ZOs2+nt7zxK2aB8ygblJzz2ws6j\n7Dt+khfC9ocOymfooPykx440BpKe091rZ1O7y6bl94t+9rRdab7pF/1MR7vgzzSVdtk+lljt/rRh\nL2u21/ThX2jJacYHsTLlU6mR1HrSbRNNbQMXNPrSZrjpuNsGg0tatU1ERCRl+tolhn8UVLD0vO9y\n6ubbOr6xeiBq1TZrDCbqW7P8QBPfKPoTg6d9G4DF08r5TMVUfvi3bR2FtAcX53XUSLr2/GlcMm9M\nR0Hu4Kpti6eVc+n8sR23w106fyxfvngm504bwad+vQGAn119ZsxrR5/TsmczH1g6t8vtFk8r79bj\nZardJ+59gbxXNmR9P9PRrmXPZubNmpj1/eztdtnYJ/2O6ne0K7+j/WEs8dp9/ncbuXaOjwpEesjn\nj7Nqmxc4yvcCSW3Nnc9pTaHYdiIB7z2dMpJERESS0l/LGNxKNNPgok90HPtAx62vus1NQ2O2LW06\nGLHfHqAjiBTcv+E9s2j33q8snlbOPdcsompvbUS78FVzAKr21na8kQ+2iw42xbp2+DmVe7rXrruP\nl6l254zNY+y4sVnfz3S0q9zTP/rZ03bvn5mfsF1/Got+R/U7muk+pbvdTz60kIdWv4RIjxkTe2pb\nIJWpbcGMpO4GkoKrtikjSUREJBkV26abRapumxt75Y8hE+DLr/asQ9ufhl3Punn7aaSiY7lnSmoh\nHgAAIABJREFUoIxV48wtA2WcMHDGmu5xqth2dur192C3ToG5V8J7fhB50tO3wOpb4V8fhl9dDtc8\nAZPPizxny2Pwxw/Dp56Bsad3vSOrvg3P/RC+eaxb40hG/xfkloEyThg4Y9U4c4vG2X2pvgdTjaTu\nWnZj7G+9RkzvfKxqpQs83TTUbatWJr72M/8Dz/4Amk6kp68iIiIyIBlj7jXGVBtjNocdG26M+bsx\nZpu3HZbJPnZIVGzblw/+Qm8/1tS2YLHtJDWS4rHtmtYmIiKSIgWSumv+CrdcbNlEwLjttItgZyV8\nf1ooaPTYl91Ss7V7AOu2j14fP5hUfxjeWuNuV2/po8GIiIhIjroPeFfUsa8Dq6y1M4BV3n7mxQ0k\ntYA/H/zeQiixpra1pbBqWyKBNhXaFhERSZECST0RvfLH3PcCBhpq6Agarb839C1ZUGujW3o2ltef\nCL2JOrQ59jkiIiIiKbDWPgMcjTp8OXC/d/t+4Io+7VQ88YptB9q8QFK+24+5apv3Xiuvu4EkZSSJ\niIikSoGkdKr8byC65lScGlS1e2Mf3/oYDD0FCstyK5DU1el9IiIi0ltGW2sPeLcPAqMz2ZkOxgex\nane2t7ipbXmFof1oPS623a5C2yIiIinSVy/pFC84FEvZhMj9qpXw1E1wYh8UDIbSMXCoh0W7s0XV\nSjedL/htYXB6H7isLhEREckIa601xsRdecUYcx1wHcDo0aOprKxM6+PX19d3XPPc5haOH9jH1qjH\nmLn3LYa3WTauf4lzgS2bX+ZQzYiIcybv3MJkoPL5dS4g1UUz9r7FyPYAa9I8vqDwceYyjTP3DJSx\napy5RePsfQokpVPZhNgruUXLL45ckS060NJSB8cbofYtCATA188Tx1bdHH96nwJJIiIife2QMWas\ntfaAMWYsUB3vRGvt3cDd4FZtS/fqMBErzmwaxJjRoxgT/RhHfw9NJZy7+Hx4AWbPmMbsM6POaVkF\n+4qpuHBp9zpS9yCcKO61VX60glBuGSjjhIEzVo0zt2icvS/jEQpjzERjzNPGmNeMMa8aY76Q6T51\nW7yV3EpGQVGZuz14nCvSHR5AiRVoCbS5VUmO7+69/vaVeJlaXcngEhERkXR5BPiod/ujwMMZ7EtI\nvGLbgVZXaLuj2HacGkn5Rd1/7ECbaiSJiIikKOOBJKAN+Iq1dg5wLvA5Y8ycDPepe6JXcgu+IfmX\nn8PVD7nb7/yvzlk4iQIq4dPb+mudoehpfMmOi4iISFoYY34PrAVmGmP2GmM+AXwXuMgYsw14h7ef\nefGKbQdrJCVata21EfIHdf+xA+1atU1ERCRFGf/qxSv2eMC7XWeM2QKMB17LaMe6a/6KUKDowMuw\n81mYssS9QSkohd1rYO6/RLZJNCXu0Ksw+9L+XWdo2Y3w8OddhlVQ9PQ+ERERSTtr7Qfj3LWsTzuS\ningZSe3BVduCgaTmzue0nux+oW1QsW0REZEuyHggKZwxZjKwEHgh6nifFXpMv7mwejUA80tmUPjq\n39hd/y2m7vg1hc01NBeWUzNiEeNr92LCVnhr9xXS5i/ixOaneZVzOHftDRTFqDPU8vCXCTx+Q8e1\ndky9murRSzIwzkRGMWNUBeMP/BULNBeOdP08Ogp6oT8DpbgaDJyxapy5ZaCMEwbOWAfKOKWXGR/Y\nOBlJEVPb4mUk9SSQpKltIiIiqcqav5jGmFLg/4AvWmtPhN/Xp4Uee5PvUvjHt5mz7U5oc0GhoubD\nTKj+B2ChaCg01ULZBPzLbsS/7k5GHvwnFZVXuPtjKGivg/a6jmvNefNO5syeHTNLKaNFx/I2woG/\nYkbNoeiza5kD9Nb8xYFSXA0Gzlg1ztwyUMYJA2esA2Wc0suMH6x1WdirbnZT/8smuClrg4Z7GUMm\ndo2ktkbI62kgSRlJIiIiqciKQJIxJh8XRPqttfaBTPen15xyntu2RWUWtXkp2tdvdG+UwL2JOljl\n3th0RbauhlbvLQjTVJvZfoiIiEh2Mj44vqfzVH7jA2aAMZBXGHrfFK6nGUk2oIwkERGRFGW82LYx\nxgD3AFustT/MdH961fgzEt8fDCKBCwZ1NYgUlI2rodUfclsFkkRERCQWnw9qXu+8kq0NhFax9RfE\nmdp2sofFtpWRJCIikqqMB5KA84CrgaXGmE3ev3dnulO9Iq8QiofFvq9kVOR+smBQXjEUD499Xzau\nhlbnBZJa6l3RTBEREZFwxgdtTbHvCx7358ee2paOGklatU1ERCQlGQ8kWWufs9Yaa+18a+0C798T\nme5Xr7nke53f6OQXwzu/E3ksUTBo6oVQMAguubVzGna2roYWzEgCaD4R/zwREREZmIwP8opi3xes\nf+QviBNIakrDqm2a2iYiIpKKjAeSBpz5K2D57VA2ETBuu/z2zjWNlt3Y+Q2R8UPhEDjtvXDyCIxd\nAIVlofuHjI99rWxQXx3qa9PxzPZFREREso/xw7Ap4C+MvgPGzHU34waSTmrVNhERkT6iv5iZMH9F\n8mBP8P6/fN0FjUpGuTc4Y+bBKYvdfS/dD41HYPo74M2n4P2/hvFn9m7fu6O1EZprYcJZsPef0KhA\nkoiIiEQxPigdCdOWwro73LGyidByEoZPc/txA0k9ndrWrhpJIiIiKVJGUjabvwI+vx4wcPoHoP4g\njFsII6bDoHJ48efuvHM/47ZHtmesqwkFp7WVn+q2KrgtIiIi0YwPAgH3pRnAwqvhS5tdjUl/vjsW\nq9i2tW5F3J4U27YKJImIiKRKgaRsN2g4jJ0PG+53q5aMW+iWv510LrQ3w+i5MPl89+bryJuZ7m1s\n9dVuq0CSiIiIxOPzu/c6wfcJLfVuG2gNBZLyYmQkBQtxx6uvlApNbRMREUmZAkn9wZQlbmoYwLgF\nbjvpbW4742L3TV3ZxOwNJNUddNuRM91WgSQRERGJZowLJAUX5Wj2AkntLS4TCdy2rTmyXWuj2/Yk\nI0mrtomIiKRMgaT+YMoStx08DgaPcbdnXARFQ2HulW5/xPTsDSRpapuIiIgkY/xuill0RlJ7WLZQ\nrKltrSfdtkc1kgLKSBIREUmR/mL2B5POdW9ugtlI4LJ7vr47tD9iOux5wdUJMKbv+5hIfbWbejf0\nFLdVIElERESiGV/k1LaYGUn5oQykoHRlJKlGkoiISEoUSOoPCkth+Y9g5Kz454yY7r65q6+GwaP7\nrm+pqD/oioP786CoTIEkERER6cz43OppHRlJde4LsvAaSf7CzjWSOgJJPa2RpECSiIhIKhRI6i8W\nfiTx/SO8ZXGPvJmFgaSw4JYCSSIiIhJLdLHt5noX4IGwQFJ+gkBSD6a22XZNbRMREUmRaiTlivBA\nUriXfgV71/d9f8LVH4JSBZJEREQkAeNzGUgdxbbrQkEjXzCQFGPVto4aST2d2qZAkoiISCr0FzNX\nlE10b67CA0l7/gmP/Bv4i2FQGUvqDsHGCbDsRpi/ou/6Vl8No+a42wokiYiISCzG5xXbbnD77c2h\nbKPwVds6FdtOQ0ZSoF2rtomIiKRIgaRc4fPD8KlwZLvbtxZWfQvyS6G1HuoaMQC1e+DR6+GtdbDt\nb1C7F8p6MbgUCHgZSaPcflEZ1GTp6nIiIiKSOdHFtgEaj7ltcGpbXgG0NUe2C2Yk5fUwkKQaSSIi\nIilRICmXjJgOu9fAD+fAif2AjZ3m3doI6+9190MouARdDyZVrYRVN8cPSDUec+nipWPcflEZNB3v\n6shEREQk13UU2z4BJaOgoRpOHnX3+RNMbWtrctseZSRpapuIiEiq9Bczl5SOgsajEL4qbvBbuk5s\n5G5rowsIdSWQVLXSBaCCKeWxsp2CtZE6MpKGxp7a9s97YGpFqNaTiIiIDCw+P7Q0uFXahoxzgaRg\nRlJEjaR4U9t6WiNJGUkiIiKpULHtXLLt7z1rX7u3a+ev+lbozVtQMNupdg9gof6gO37oNbctGuqC\nW21h3ybWHYTHvwzr7ux210VERKR/uWv1drYcaQ8dMD7aT3qBo7IJbtsYzEgK1kiKsWpbi1dTKb+o\n+52xAWUkiYiIpEiBpFzS1UBQtOCbth4/nu186OXfuW1RmdsGV2SB0KpyhzZ3ble1Em6bCzcNdduq\nlV3ro4jIQPPaI3B0R6Z7IZLU/All/HRTE2u21wBQXd+Kv937gmrIeLftmNrmBXn8hS5jKRAIXejk\nERdoKijtfmcCbW5qnYiIiCSlv5i5JF4gqHg4lE3EYqBwsDsWvTJJfrGrb5SqQ692rW8n9rttMJAU\nPr1tnxdIOrg58o1hcOpcMLspOHVOwSQRkdjaW+HPH4N1d2W6JyJJLZ5WzmcXFHHtr9bz6V9vYN2u\nsBqKQ8a5bayMJHDBpKCGw66mkjHd74xqJImIiKRMgaRcsuzGzoUm84vhklvhS5tZXfEQ/Pt2uOo+\nuOzHUDbRnePLh9M/5GokJcv8CWYI3bnY7Qff0CUTDHJ1BJLC3iwGM5Ja6uD47tDxp74Ze+rcqptT\ne0wRkYHm+FvuA3HdgUz3RCQls0f4KSvO5y+vHmTqyMGhOzqmtsWokQSR09vqq6F0ZM86EmhXIElE\nRCRFCiTlkvkrYPntXoDIuO3y2yMLaOcVwmnvhYUfhi9thku+777V2/Tb5Jk/ERlCHovLeMK4lPDS\nsZ37FZ7tFJ2RFGiH/Rth3BluPzi97eAroSymaD2dwgew50VoHICrx2mqoEhuO7bLbeurM9oNkVRt\nOdJOTV0LQwfl88bhsAVCOk1t8wJJeYVuG15wu6HaZSR1l7Vg21VsW0REJEX66iXXzF/RtZXXTrsC\nnvz30NK5Qa2N8OTXXPZP7V73zWBLQ+cMoUArFJTA13bCUzfBc7e546WjoP6wa7fsxlCfogNJh7dC\nSz2c8a9wYJOb3jZ7OWz8bfw+R0/hq1oZ0c9R464CKuK3P7oT7rkIhp7ivrk/sb9zP3NRvFX2ILfH\nLZ1F/c7k/Gt/IDm2022DCx2IZLE122v46aYmKmaO5oWdR1k8fSRs8+4s8wJJwYykYCApuG1rDl2o\n/jCMPb37HQl4Bb+VkSQiIpIS/cUc6EoTfIPXeDRUmyA8CylaMEPojH91gaRpS+HqB2OfGx1ICk5r\nm3IBDJ/mMpKshTeehNFz4ej2yOBVXlQtpxjBkZl1d0DV7PgfjN/4q9uGT6OLF1TJpQ/cq26OP1Ww\nv45Juk4Bxdx2NBhIqnb/l/akZoxIL6vaW8tnFxTRUlbG3147xMjBYdPzS0a6aWydaiRFTW0LBEI1\nkrrLBgNJykgSERFJhaa2CQyOMR2tK4IZQsOnwopfw6X/G//c6EDSvvVQPMy1HTMXDlZBzTY3PWPR\nxyKn6gFMWxb5YTdGcMQfaE5cR+mNJ2N/6xhdfynXin3HmxKYjqmCkr2ipzM++TXVHstlwaltrSeh\nuS6jXZHsZ4zZZYx5xRizyRizvq8f/9NLpjF7hJ/ywS441NTu/a335UNekVuF7WSwRlJw1bZgIMmb\n2tZ4zAWCEn0xlkygzW2jFyIRERGRmBRIErjo5s5FulMVvdrbnMtg2Cnxzy8ocW8G31rnPtS+9Cv3\nIfaVP8GYea5Q7Ct/cufOeKcLGn1pM9x0HOZcDjsrI2t/xA2O7IldC6jpBOx6PvSmsVO7sOslyuCJ\n1h9qD8Vb1S/ecen/YgVDg9/uR1NAMTcEA0mgOkmSqguttQustYsy1YERJa7uUVObt3JrUZnLpiss\nTZCR5E1ta/Be5yU9KLatqW0iIiJdokCSdC7SnT8o/rlFwxIX807GGPAXwra/hqbLtTW5D7snveLX\nL/7MTWsbOjGy7dIbXZ2m2xeEAjbFw+I/VqxMou3/cHWd4qXAhwdVUs3gSZa5ZC3sfBbaWjpdKm1S\nCWTNu6rzsehAoOSWWMHQeBRQ7P+sdVPbRs52+6qTJP3ESC8j6WTwO55g9nLBYJddB/GntgUDpunI\nSFIgSUREJCX6iylOeJHu2n1w+0IXcLGB0Dn5xfDu7/W8jkp7c+jbv6DWRpedBG7amw24YEj4Y+1/\nydUvaGnw+rnHpb8bf6i+AW4huU5VQVob4cFPe+cZmHUpVP0+8kN2dFClbELs2lDRH7hXfSt25tKD\nn4IHrnPfqDbXwYX/CUv+Pc6TkqI3/grrfgof/nOo4GiqNW+O7nBBwuLhcGIvYODiWwZWXZzWxsjs\nu3V3waFX4PI7Mten3pRqlpECiv1LvNptDTXQ2gCTzoHDW6D+UKZ7KtnPAk8ZY9qBn1lr785EJ4IZ\nSY2t1h0oGuK2haWhk/xxprY1HHbbntRICqhGkoiISFcokCSdlY2HL7wMO56Gp29Jf6HpeNPKmo+H\n3a7rHAxZdXPntoFWMHnuW8RAe/zgD4QFm6wLIp3+Idj2t9D5S77mtrfNdWMuHtYpSIXxw4yLQ+cM\nGg4nj8R5vEBoLAD//AVc8NWeFb99/kew+3nYvQamLnHHUimiXXcItj4G53wa3vkdOPw63HF2aErA\nQLDnRfjlJfCRB9xz13DEPUdtjfCu70Lh4Ez3MP0S/T7kF4deN+d/dWAFFPuzRIHjYZPdduK5sOE+\n93svktjbrbX7jDGjgL8bY7Zaa58JP8EYcx1wHcDo0aOprKxMawfq6+vZsulFAA7UHONU4GhjgKrK\nSubXtzDcO2/tixtoLnqLocdeYwGwccOL1G4/yYQ9a5gOPPfyG7Tldy8Lr6D5KIuB19/czoGTlT0f\nVAz19fVpf+6ykcaZewbKWDXO3KJx9j4FkiS2IWNhwYfcv3TLK4xctjee6GBIvOwK2wZnfhwuvQ2A\n5v+eTlHz4eTX3vY3V3+poQZ+MNPVTtr9XOgDWrAug/G7oFBBCbTUw8Zfhb4JjRdEiqX+IBx61RUV\nD+rKqnDHdrkgEsAbfwkFklKZglf1BxeEO/Matz9yJkxZ4h5/ydcGxspOb65yz8ETX4VPPw9rf+yy\nNwD2bYCpFb3zuH298l/44xUPc9/et4dNq/Tluefh8p/CtAvhB7OgLsUPX7m0imF/lShwvPT/uf1x\nC93PXRlJkoS1dp+3rTbGPAicDTwTdc7dwN0AixYtshUVFWntQ2VlJUuWLKGw8i/kl5TBCRg+djIV\nFRVQfQoc2wjA2867AAaPhreK4GVYOHc2TK+ApyphZx5vX3Yp+LpZsaF2L6yFmbPmMPOMijSNLFJl\nZSXpfu6ykcaZewbKWDXO3KJx9j7VSJK+N2ZB6ueGB0MS1XCZsqTj5o6pV6dWPDx47ZJyOPVd8OZT\nsevJFJa6Yt9fqHJp78EgUoQUAzGb/+y2L/4cvjMOHvpM6qvCvfxH9zhj5sPrT7p6KJCgiPb40O3X\n/+Lalc8IHZu9HI5uh5o3Uut70Pan4dBrXWvTFyLqRJ3mntvqLaH796xz9TZq3oDvT4XnbnOrAgHs\n+Wfv9akvV/6LfrzGo6HXCbigaKDNjXvGxS7QNOdy1y7ZCl+5tophf5UocBwstD1sMpSOViBJEjLG\nlBhjBgdvAxcDmzPUF8pLCznZ4mXyFsaa2pYfuQ3+La4/7AptdzeIBPDaw277yL9l74IZIiIiWUSB\nJOl7K+6Hd3wrsmh38fDY54YHSZbd2DlAFMykmXx+x6Hq0Usii4fHE37txdfjSkXE0HTCbUtGQCAQ\n+xxs6PHiLR9s8uD5212g44mvugKi0VP1Yq0KFwyQVN7isgzGzINjO930NHDPS7BmRLhTvOek8Rjs\necEFDsLNfLfbbn08zphiaK6HP3wI/vTRznWuMqlTkGMvbPqdq1EF0N4Ge9fD+DPB+EJBk7YmwMCr\nD/VOv7qy8l9vPV7A+7D1nh/Cxf/lbk9/R+gD2jmfguZaN22yq9fuzbFIbIlWXzy2EwaPg/wiV3hY\ngSRJbDTwnDHmZeBF4HFr7V8y1Zny0gIaOmokhRXbDuoIJEUV226o7tmKbcFMyyAFyUVERJJSIEn6\n3pCx8PYvumllNx1320tu7Rwkii4AHL26nC/fZVuMnueCPOHmrwhd/7I7IC/JtSed4103hvAPbnE/\nxE0MPd577+o8Fl8+YL16S8GAVZzAVcSUtPAACa5Q+eb/c7ffeDI01nFn4oJmXmBuyASo8QJN2592\njxsdSCobD+POCAWSAgHYvTZBsAzY8ogLgNW8AZsfiH9eb7NRz1281ckOVkHLSah+1U1LPFgVWUDe\nXczdn2jc3ZXqyn+9/XgA5afCwo/AhLNh0cdDx8ef6Vb0e/Y2N80t3sp/fT2WdFl3J9x+RvKMq/5i\n2Y3e/ydhgv+fHdsFw6e4Y6VjktdISmW1R8lZ1tod1trTvX+nWWu/k8n+jCgtpKElGEga6rYRGUkJ\nVm3ryYptq272vlQIoyC5iIhIQqqRJNkhvKB2ovor4avL7aiEX10OUy5IfO0zPgJ5BcmvvezGyCK2\n0DnglMo5scbS0hCquZRMeLAqVoCkrQnwwdO3sKS9FTaOh/ojrp7VFT9156y9A/56g8ta2vZ3N4Vp\nwqLOjzV0Erz2kPsgWTTErZj3nh/AWZ+M3beXfw/DpkBbCzz0aXjgWldwvL0V3ncvzLjInffqg7Dz\nWXetNNRfGnVoNdz2+VDdn7ZmWPBBt4pd7V7iBuXAvU5O7HO3G4/FOcnCkTdh5Kk97muEIeO9FfKi\nlKbw7Xl0PaIZF3vF4eO8hptOuKmX8YrZl5/qfsaf/Hvn+8afCa/8CeoOuP1YK//FK9ydPyhUfL6v\na0Ale7zmelj9Pfe798JdcEEPV01MR596ep35K+Cf98DeF11Q1Phg/ge9dnsgv8Rdp3SUy0RM9Fip\nrPaYaj/pwQd5EWBESQENrV5AP7hqW0FYIMkXlZEUrLXYcBhGzen+A/fXILmIiEgGKZAk2SM8SJSK\nqRVw1f0w6W3puXYqwazuBLzABWpSER2UivtGNgDtLW7iXvCcQeWhu+e+D/72/9z0rjf/DtOWdV7W\nuGqlK9oNgHVBJIA1P4kdSDq+xwWHZi937YIBi2DB8d9/GEpHwIkDdAR2TnsvTDm/87UAGo/Dup/C\nWdd2DqxEFYye1XTCFVWHUEDun7+I89yEM/D6E+7D8uCxrtB0vFXM9rwQO5B06DVXN+Nffg7Dp8bu\nY7zXwdQlsOm3na856bzE3Y71IX/9PaH7Y33of+omN93QX+gy14J8fjD5ib+xX3tH52PRxe6X3ehN\nFYwK2rU2QG1D/H6lU1eDHxt+6V4vI2fB6h/A+l/Cif3pDXil2qeYwRciC6O31IeyLBKN7WSNm5p6\n+gfhjx+GTb8JtWttcO2mX+TOa28NTQkKl8pqj10Y76jpnwEqEj1TIgmVDy6kviUAfkJT24IZScYf\nqoE0eKwLJh3e4rJTe5qRFC9Inqguo4iIyACnQJL0b6ddkd7rpRpw6uoH0HhvVIuHu9XggveNW+Q+\nyD1wnfeNbIJMm2iv/h9c7KXiDx4No2Z7dW8sbP+H+wAY3u9Y6fzg6qwc2Q4jpoWOVa2Ex7/qrrX1\nsRjTw4BAs/uQHu7vN8J1T8fu76qbXXBky6PQfAJq94Uyb17+XcTqed2ag5tfDKPnuqCXvxAmngOz\n3tM5o8yX74Jij3weVt/aOcDw4t2wbz387gNuWl+qH/oD7fDWWhh6inu+ggGEQKBzdpoXZFhSuxc2\nehlssabqhWtthCe/FgpEYGHqUpep9bf/dPVxike42iGFJYkzw+J+I7/HBUHLJsAZH3WPUTzMBQHL\nJrjpYk3HO/crUTBix2rmvvJfcM4CKE4xwBoUL/jx4Kfd70x4gOapb7lsMH+hCyQd3hrKTKvdAw9/\n3t1O9XfZWqj8b1e0fvalyfsU/hzECr489Fn3Mwm+hmJlLMZ6LhuPu+y50z8Ip77TZSSFr8oXbLfr\nWXe74TAMGdf52t3Nwogz3qk7fg18M3FbkQRGlBRwNGAiA0nBGknhwdD8IpdFuXuNyzINtPYskJRK\nprGIiIhEUCBJpC/Ee6N6ya3uQ2IgALcvgN3Phu5vqgUM+PPirBQXpXZf6HbVSm81Ni8Q1Xi0c6Aj\n0QfGqpVw4Tfc7Zf/CI9+Adq8vscKIsWz/6XQ8vLFw2DSuXDwlVDgo3AoVIetABededMtJhRQ2PMC\n7PVWZNtR7wJJy2/vnAUSfJ6iA0Ktja4WVOHQUM0piP+h/8n/CF27sNQFWt73S5h7Zei8v3wD1t8L\nrU3uW/U/XQNvPAHtrV6GWZyMqVgaj0b25a21LpD0pdfguxNh3vtcoG78wsTXiRfoBDpWaFv9XZcV\ncP1G97xB/Ey7RK+tp26i/MhL8OsrXZHceBldtXvd1MDwAFi861qv8HusAE17c2hFpnDtzbDqW6HH\nrDsEO1fHzzLb+pgLNBYNhcnnhZ6DVAIyiYqgJxN9/f1uKXTGn+k+XMf7fWz0Anx1B2MHkkpHukyO\naMbnVj0MBnZj/VxiKGyuSTIQkcRGDi7kSPBrg+hV26IXlDhlsfuiJLhSYUkPAkmpZhqLiIhIBwWS\nRPpCsjeqPl+c2jbWfSNbUJK83lJ0baVYWQrh2Q3xggfGD89+331oLiiFlh4WKQ7W3Wk86qaZhWuu\n7dm1o5WMgn/f5m5XrYSNYdPKmo67INHy211hdHC1faKfy/Dn6fUnXB9LRkIzyTUeC9Vhaq5zz2X0\nz2HKEjelb++L7sP6lhhBju5qC+v7+DNhx9NQtx9GTE/cLlagM1qgzRWtDwZQoOtTQvauh/0vcbJw\nFIP2bwgdr93jMoqe/Jp7/oqHQ+MRmHYR1GwNvfaLhyWvNRYzQBOvsL0XfH1zFfzmSheAslFBxbfW\nuay2E/vcNMGm4/C/81z9pUR9Cn8OelJrJfq53Oc9b+O84GDZxNg/g2CgKFawCGDQqM73Gb8LygX7\n24VaWc2F5RSlMByReEaUFNIeXGm1IyPJCyT5ot6uTloMz/4g9DcllbpziXQn01hERGQA06ptIn0l\nfCW5L23u/KY1elpYUOOxrq9wl0qWxLIb46wuh5uWhe1CEKm7BbW7MHUvnC+/8zfUvnyB7WFVAAAg\nAElEQVR4Z9iiQ6tuDmVRBUWvxJNoStdtc+HPH3cfrhsOd6+fth3+8V+Rx4JLst+/HB7+bPeum0hw\nTBPO8rLScIW2E4lYETGB6KmQsV5D0a/F+sMuq+22ufCLZYAhv/1kjItbLyBjXRAJYPvfvaCFlxXV\ndCJx/7oqr9Bl+/3l614QJbr+U6PLkAtOiQt4mU/NdWF9ihMMfdvnQ7e7W2vFl995es3+jS4wGJwW\nGO9n8PavuNv1BztfN9Du+j75gtAqmGUTQx/ew0X/ziy70WUtRT3ejqlXd2loItFGlBYQCL4t7aiR\nFJzaFvX//cSz3eswmG3Yk4wkERER6TJlJIlki1SzO8Kym2ztXkysNPxUrtXT1eWM302riVXXqMcM\n4UGmAH58xWUuqBarUHEXpuBEHE80pSt43LZ36k+XhD9e1Ur4y9dC+4mmCXbUz4qzalvT8dhL2gd/\nxhPPDh1LFkiC0Dfyx99yGTexxHst/uXrruh6ySgXzAse370WfnmJl+kTHKslr60+eX9iCRZcLx7u\nXqfG14WpltE/Q+MCY98uj9cgxT55waUh410wePAYl4UXnhl19rWuXlhEd/LBRmVPdYzHuAyM0tHu\nePiqeE0nXG2koHjZjnOucK+1WBlJ1a+5TLuFH4HT3x86Hneq4p5QH0pGuj4Wlbm+eI9XfXQUPVg3\nS4Ty0kIO2BE05w2mcNAId7AwRo0kcDUEx8yDAy+7/Z7USBIREZEuUyBJJFt0peCn96F/dWUlFRUV\n3b9WT1aXW357ZNtJ53YzKBX1AT+/GE7/UETQZOu4q5jz/hiFfBNNRUglmJbKlC7w+hcjmBReeDrV\nKYcxHyvGcxCsnxVPdAHnYLvgz3jCWd6lfTB8SvzrRBs6Cea8F7Y+GjndMtFrcdoy+P5UOOc6dywY\ndAiuFBgV7Olu/lqHr2yF7031Cu4+H9lPX74L7oQ/ZvRrqniYC8JFTIPrQbAQ4Mthtb5+tsTV1lr8\nby7L6Y2/uWmBg4aFVjUcNRMObXaBmYbDrt+jT3MBuS++4lYlfOKr8PDnIou6Q+fC6fGm5RQPdzWS\nor21zm1PiVrxMm5g1YSON3iBqYu/A2eEZSFVVsZoJ5K6YYPyecKew8xFV3F9wSB3MDi1LdbKg5MW\nu0CS8bvXuoiIiPQZTW0TyRYR04u8qSbRwZrevla8KTjFw5NfK3rqXqwpeNHyi2HRxztf+9IfRlyr\nevSSFAceJpVpV7Gep7hs5HlX/hy+tis9Uw69a9uu/KyS/YxLymH4VBg22U3h6ooV98EVd6b++ikZ\n4bIDqv7kglvB6WiBNnoUnIll8Fg3nmkXuql7ecXuX9Alt0LeIMgfRNzXVEFJjFpKwWBhuBRDXkPG\nR+7PvdIVmj+6k5GHn4Pdz7lMrS9vgRuPwrApLog0Yjp8dRtc8j3Xn0OvwvR3uEDRvKvc40fX2ALY\nUZm8T1Ur3WqI6+9xgb2qlaH73lrr+hz9eo/1OwPE/BmuvjV5H0S6IM/vY/igQg41hv3eBYtt+2IE\nkoKvS9sOP5of+RoXERGRXqWMJJFsks6Cn925VrLV5br6+BCZpRQ9Pas3V8ZJdSWe6OfptrlxMpkm\nhop0d/fx4mZJuWvHzTBL9JiJnr8lX3erk3VHV18/UytgzY9TPz986l5w9bzwoIkvP3L1NYC8IrjI\nq9cz891uRTqA9//GTQO75yJXz6i1Hq64y61gF0uSgF7E6zXZlM38YnjHTZHHTnuvm8r2swuY03zC\njaWgxBuXD876BPztP+HMj7kxzrnCTQ8MtMKMi7znJ0F2YLwC2kHBbLVgplZ40ex5V7kph6e8LXZm\nE4Rew/6C+K+fnhQQF4ljRGkBNfVhr7l87/cmukZS1UrYcF9oP1ZheBEREek1GQ8kGWPuBS4Fqq21\nczPdH5EBLd3LIGd6JZx0BtNiTevq6uP15NrdEV7/prdNqUg5kNTuK8QfHZysWtn5dQfxX4szLgaM\nq5Uy42I3vaWwDNb+1N0/NUEWW5KAXoToKZupBEPfWuemFDafcDlNgVZ47Ivu2PwVLguvrQnOvMad\nP3g0TD4fdq+BKRek0M8kxbtjTaEMFs2edK5byW/S22K3DX8NH9sFP30btMYojt7dAuIiCYwoKeRI\nfXhA2eemt/mj3q6uurlz8f/olUlFRESk12Q8kATcB/wE+FWG+yEikPngT6alO5jWV9fOtOh6O+Gi\nCoe/Pu4q5iTLDAs/HktJOSz8MAydHJq6N+V82PoYjJwFQ8bF70836pF1yaqbOxcBD/+QW1ACF/x7\n5P2X3Ao120LFhbvaz3CJViP8mRdge+b7rmB2orENmwzLf9S3wU8Z0MoHF/LctsOs2V7D4mmuEH4D\nRdQ1BHho9XY+vWQagFtoIkb78ON3rd6O3wftATrafeOBKgD++8r5HW2ij+VSu0z0adfOFraa7Vnz\nHPRWu1lxzsm2fqaj3YH9TYQnS+f6azjX2+l3NLv62dPX/pYj7WwN+/vYlzJeI8la+wyQ4jJRIiJ9\nILreUzoDPb157UwqKIHxi2IuDc8lt/a85lUsl98BS8ICMlMrIrfxpLMeWSyprBgYbdRsmHNZevqZ\nKFsoWBC+/pALECWrK9Pbz5VImBElBTS1tvP5321kzfYaAFrzSth1rAW/91/Lmu01HGBEzPYHGNHR\nzu+DWx7fGtHusaoDPFZ1oOOcWMdyqV0m+vTH11uz6jlQu563e+Fg+4B6Ded6O/2O9o92qV77p5ua\nmD+hjEww1qa5EGp3OmHMZOCxeFPbjDHXAdcBjB49+sw//OEPaX38+vp6SktL03rNbKRx5p6BMlaN\ns5+wllHVzzB1x68pbK6hubCcHVOv7hQ46q1xFjYdZtH6L7F57g3UDs3cYvTnrv0kRc2HOx1vKhzJ\nurf9otcff9Sh1cx8/Q78gVCtmVilxNPZp3T/TC+88MIN1tpFabugpMWiRYvs+vXr03rNyrDacHc8\n/Sbf/+vrjBtaxMHaJoYW53NP2zc46R/Mvzb9B0MH5XP8ZCv/WvoC/9F6J8WEXuNNFPL9gs9yX/3Z\nDC/J52hDK6NKC6mub6a8pICahhamlA9iSFE+r+4/wZTyEt6srmdYiSvkfaS+hdLCPOqb2xhclEdd\nU1vHfnmpy3qsqW9OeKysOJ/axtaO9iMHu3MO1zVT5IemdiKOBc+LbjdqcBEA1XVNDCnK50RTa8xj\nwXY9PSed7Qblwck2+uzxMtWu2A+N7WR9P9PRrrm5idqWxD/T3uxn9DmjvXMOhZ0T69jQ4nyOd6Fd\n8Gfa1XbdfbxMtYv+Hc3Wfva0XfDnme397O45Y8qKaGoNcO0cH5/5l2WkkzEmpfdg2TC1LSlr7d3A\n3eDexHSpGG0KKrta4Laf0jhzz0AZq8bZn1wIfBOAImCO9y9cr47zXVexsHeunLrht8ScDlb0nluo\nmF/RBx2ogKrZEVMoTaxaS0BRc01afha58dqVTHvX3DG8caiO1vYAbxTU8WZ1A3cP/zTjhpdxSu0g\ndhxuYGp5CftGLec3dcUsr/kFowI1VPvKeXTEJ9lVuoyJh+vZdeQkp4wYxNTyEgpqfOw+cpJJwwcx\nZkgxRxpaMAa2Hqxj/NAizpo8HJ8xvHbgBFsP1jFrzGDmjB0SsT977BAAXjtwgtcP1jHTOyfi2OhS\nZo8dwpYDJ3j9UH3HPtBx7NSoY2+EHQvfnzXGnbP1YPJj6TonXe2G+xo5Gijus8dTu95vV119KKWf\naW/1c6Z3zrZD9cyIOifZMbXrfGy4aeSoLc76fqpd8nOuXzqd2QUHyJSMT20TERHJKWHTwWympoNF\nT6Esmxj7PBXNliwybWQpP/rAQj5y7ikcbWjl+qXTeaF5MmNmnsnxk27/eGMr15w3mdPe9Une7buT\n/z3vBd7tu5PTLvkknzh/Ciea2rh+6XTqmtpYPH0Edd5+fXMbn71wGv/v0tkMKsjj+qXTaWwNsOKs\nibxv0QSq65q5ful0quuamT1ucMT+VYsmcNWiCRz2jh2Oday+hdPGD+FwfUvH/oqzJrLirIkcrm/h\nsmn51NS38P6zJvL+syZS451XU9/C3PFDIvY/cPZEPnD2xKTH5k1I3i6Vc9LZbvIQX58+XqbaBX+e\n2d7PdLRbMiE/o/2cP2EIR7z9I/UtfPDsiXzw7IlJj3W13WXT8rvVrruPl6l2U8p8/aKfPW0X/Hlm\nez97cs5vXniLLUfaM/Y3u19kJImIiPQrXpHu1dmSqdPXKwaKdNOa7TV8/ncb+cmHFrJ4WjmDi/O4\n5fGt3PCeWVx7/jTOnTaCT/16AwA/u/pMFk8rj3ks29q17NnMB5bO7dN+ZttzkEvtZrTvifnzzLZ+\npqNdW1sb93zsnIz0sy+fg5Y9m5k3a2JWPOdqp9/RlK993wucviC0QEVfynggyRjze6ACKDfG7AW+\naa29J7O9EhERySG5vGKg5JSqvbUdQSRwK9bc8J5ZtHsLIS6eVs6l88d23I53LNvaVe7p+35m4jl4\n/8z8rHnO1S497Q7s35+xfvblc1C5J3ue895sp9/R/tEu1Wt/dkERVXtrO471pawott0VvV3oMZdp\nnLlnoIxV48wtA2WcMHDGmu5xplroUfqW3oN1n8aZWwbKOGHgjFXjzC0aZ/el+h5MNZJERERERERE\nRCQlCiSJiIiIiIiIiEhKFEgSEREREREREZGUKJAkIiIiIiIiIiIpUSBJRERERERERERSokCSiIiI\niIiIiIikRIEkERERERERERFJiQJJIiIiIiIiIiKSEmOtzXQfusQYcxjYnebLlgM1ab5mNtI4c89A\nGavGmVsGyjhh4Iw13eM8xVo7Mo3XkzTQe7Ae0Thzy0AZJwycsWqcuUXj7L6U3oP1u0BSbzDGrLfW\nLsp0P3qbxpl7BspYNc7cMlDGCQNnrANlnJJ+A+W1o3HmloEyThg4Y9U4c4vG2fs0tU1ERERERERE\nRFKiQJKIiIiIiIiIiKREgSTn7kx3oI9onLlnoIxV48wtA2WcMHDGOlDGKek3UF47GmduGSjjhIEz\nVo0zt2ic/z979x0eVbE+cPz7ppAEAqEjUqRITSGhV0XAXhEUBZFyEVGKKGL/3YteQa+iiKB45Sqo\nVAuIKFhQURGlhyBFaaEoLYT0nszvj3Oy7ibZZAkJgeT9PE8edmdn5szsObv7MmfOnFKmayQppZRS\nSimllFJKKY/ojCSllFJKKaWUUkop5REdSFJKKaWUUkoppZRSHqnQA0kicp2I/C4i+0TkibJuT0kS\nkUYi8r2I7BKRnSLykJ0+RUT+FJFI+++Gsm7ruRKRaBHZYfdns51WU0S+EZG99r81yrqd50JEWjnt\ns0gRSRCRieVhf4rIuyJyUkR+c0pzu/9E5En7M/u7iFxbNq0uHjd9fVlE9ohIlIgsF5HqdnoTEUl1\n2rdvlV3Lz46bfro9Vi/Wfeqmn0ud+hgtIpF2+sW8P939npTLz6k6P8prDFaR4i/QGOxi36cVJQar\nKPEXaAymMdj526cVdo0kEfEG/gCuBo4Cm4C7jTG7yrRhJURE6gP1jTFbRaQqsAW4DbgTSDLGTC/T\nBpYgEYkGOhpjYpzSXgJijTEv2gFqDWPM42XVxpJkH7t/Al2AEVzk+1NErgCSgPeNMSF2WoH7T0Ta\nAouBzsClwBqgpTEmu4yaf1bc9PUa4DtjTJaI/AfA7msT4PPcfBcTN/2cQgHH6sW8TwvqZ57XXwHi\njTHPXeT7093vyXDK4edUlb7yHINVpPgLNAbjIt+nFSUGqyjxF2gM5vS6xmClvE8r8oykzsA+Y8wB\nY0wGsAS4tYzbVGKMMceMMVvtx4nAbqBB2bbqvLoVeM9+/B7WB6686AvsN8YcKuuGlARjzI9AbJ5k\nd/vvVmCJMSbdGHMQ2If1Wb4oFNRXY8zXxpgs++mvQMPz3rAS5mafunPR7tPC+ikigvUfx8XntVGl\noJDfk3L5OVXnRbmNwTT+AjQGu2hUlBisosRfoDEYaAzGedqnFXkgqQFwxOn5UcrpD709ChsBbLCT\nxtvTON+Vi3y6sc0Aa0Rki4iMttPqGWOO2Y+PA/XKpmml4i5cvxjL2/4E9/uvvH9uRwKrnZ43tafg\n/iAivcqqUSWooGO1vO7TXsAJY8xep7SLfn/m+T2pqJ9Tde4qxDFSAeIv0BisPO7TivjdXt7jL9AY\n7KLfpxdaDFaRB5IqBBEJBD4BJhpjEoA5QDMgHDgGvFKGzSspPY0x4cD1wFh7qqODsa7fLBfXcIpI\nJeAW4CM7qTzuTxflaf8VRkSeBrKAhXbSMaCxfWw/AiwSkWpl1b4SUO6P1TzuxvU/Gxf9/izg98Sh\nonxOlfJUBYm/QGOw8rhPHcrT/nOnAsRfUAGO1Tw0BjsPKvJA0p9AI6fnDe20ckNEfLEOuIXGmGUA\nxpgTxphsY0wOMJeLZPpiYYwxf9r/ngSWY/XphH1Nae61pSfLroUl6npgqzHmBJTP/Wlzt//K5edW\nRIYDNwFD7B8D7Cmpp+3HW4D9QMsya+Q5KuRYLXf7VER8gNuBpblpF/v+LOj3hAr2OVUlqlwfIxUl\n/gKNwcrjPqUCfbdXhPgLNAa72PfphRqDVeSBpE1ACxFpap9huAv4rIzbVGLsa0PfAXYbY151Sq/v\nlK0/8FveshcTEaliLzyGiFQBrsHq02fAMDvbMGBF2bSwxLmMsJe3/enE3f77DLhLRPxEpCnQAthY\nBu0rMSJyHfAYcIsxJsUpvY69qCci0gyrrwfKppXnrpBjtdztU6AfsMcYczQ34WLen+5+T6hAn1NV\n4sptDFZR4i/QGKw87lNbhfhuryjxF2gMdjHv0ws6BjPGVNg/4Aasu4bsB54u6/aUcN96Yk1xiwIi\n7b8bgA+AHXb6Z1irwJd5e8+hn82A7fbfztz9CNQCvgX2Yq1WX7Os21oCfa0CnAaCnNIu+v2JFZQd\nAzKxruP9R2H7D3ja/sz+Dlxf1u0vgb7uw7qWOfdz+padd4B9TEcCW4Gby7r959hPt8fqxbpPC+qn\nnT4fGJMn78W8P939npTLz6n+nZ+/8hqDVZT4y+6rxmAX+T6tKDFYRYm/CumrxmAX6T69kGMwsTem\nlFJKKaWUUkoppVShKvKlbUoppZRSSimllFLqLOhAklJKKaWUUkoppZTyiA4kKaWUUkoppZRSSimP\n6ECSUkoppZRSSimllPKIDiQppZRSSimllFJKKY/oQJJSqlSJSLaIRDr9PVGCdTcRkd9Kqj6llFJK\nqfJCYzClVGnxKesGKKXKvVRjTHhZN0IppZRSqoLRGEwpVSp0RpJSqkyISLSIvCQiO0Rko4hcbqc3\nEZHvRCRKRL4VkcZ2ej0RWS4i2+2/7nZV3iIyV0R2isjXIhJg558gIrvsepaUUTeVUkoppS4oGoMp\npc6VDiQppUpbQJ5p1YOcXos3xoQCs4HX7LRZwHvGmDBgIfC6nf468IMxph3QHthpp7cA3jDGBANx\nwAA7/Qkgwq5nTGl1TimllFLqAqUxmFKqVIgxpqzboJQqx0QkyRgTWEB6NNDHGHNARHyB48aYWiIS\nA9Q3xmTa6ceMMbVF5BTQ0BiT7lRHE+AbY0wL+/njgK8x5nkR+RJIAj4FPjXGJJVyV5VSSimlLhga\ngymlSovOSFJKlSXj5vHZSHd6nM3fa7/dCLyBdeZsk4jomnBKKaWUUhaNwZRSxaYDSUqpsjTI6d9f\n7Mfrgbvsx0OAn+zH3wIPAIiIt4gEuatURLyARsaY74HHgSAg3xk5pZRSSqkKSmMwpVSx6eiwUqq0\nBYhIpNPzL40xubefrSEiUVhntO6208YD80RkMnAKGGGnPwS8LSL/wDrr9QBwzM02vYEFdqAjwOvG\nmLgS65FSSiml1IVPYzClVKnQNZKUUmXCvj6/ozEmpqzbopRSSilVUWgMppQ6V3ppm1JKKaWUUkop\npZTyiM5IUkoppZRSSimllFIe0RlJSimllFJKKaWUUsojOpCklFJKKaWUUkoppTyiA0lKKaWUUkop\npZRSyiM6kKSUUkoppZRSSimlPKIDSUoppZRSSimllFLKIzqQpJRSSimllFJKKaU8ogNJSimllFJK\nKaWUUsojOpCklFJKKaWUUkoppTyiA0lKKaWUUkoppZRSyiM6kKSUUkoppZRSSimlPKIDSUoppZRS\nSimllFLKIzqQpJRSSimllFJKKaU8ogNJSimllFJKKaWUUsojOpCklFJKKaWUUkoppTyiA0lKKaWU\nUkoppZRSyiM6kKSUUkoppZRSSimlPKIDSUoppZRSSimllFLKIzqQpJRSSimllFJKKaU8ogNJSiml\nlFJKKaWUUsojOpCklFJKKaWUUkoppTyiA0lKKaWUUkoppZRSyiM6kKSUUkoppZRSSimlPKIDSUop\npZRSSimllFLKIzqQpJRSSimllFJKKaU8ogNJSimllFJKKaWUUsojOpCklFJKKaWUUkoppTyiA0lK\nKaWUUkoppZRSyiM6kKSUUkoppZRSSimlPKIDSUoppZRSSimllFLKIzqQpJRSSimllFJKKaU8ogNJ\nSimllFJKKaWUUsojOpCklFJKKaWUUkoppTyiA0lKKaWUUkoppZRSyiM6kKSUUkoppZRSSimlPKID\nSUoppZRSSimllFLKIzqQpJRSSimllFJKKaU8ogNJSimllFJKKaWUUsojOpCkVAUhIt4ikiQijcu6\nLedCREJFZENZt+N8EJH6IrJLRCqVdVuUUkqp8kxEmoiIEREf+/lqERnmSd5ibOspEfnfubT3Qici\n94vIa2XdjguBiHwiIteXdTuUKkk6kKTUBcoe9Mn9yxGRVKfnQ862PmNMtjEm0BhzuBhtudwOmJLy\n/A0427pKwPPAy05tqyUiK0QkWUSiRWSQu4JieUFE/hKROBH5XkTalGTjRKSNiKwUkVMiEmsHoi08\nKFdbRE6LyNrcNGPMMWAd8I+SbKNSSilV3ojIlyLyXAHpt4rI8bMd9DHGXG+Mea8E2tVbRI7mqXua\nMWbUudZdwLaGi0h2AfHapSW9rSLaUQl4BjteE5GWdqyWGxt9JSKtCik/XUT2ikiiiOwRkXvzvG7s\nuC+3fyU+KFdUGwop967dvsudkv+DFb8qVW7oQJJSFyh70CfQGBMIHAZudkpbmDd/cc+KFbdN9t8n\nBeUTEW9P0gpTUH9EpCHQE1jplPwWkAzUBYYBc0WktZtq7waGAj2A2sAm4JyDxDyCgGVAK6AeEAks\n96Dcy8DOAtIXAveXWOuUUkqp8uk94B4RkTzpQ4GFxpisMmhTWfilgHjtr7yZ3MRZZx1LuonvbgX2\nGGP+tJ9XBz7j79hoI7CikGqTgZuxYqphwEwR6Z4nTzun/pX4oJyHbXAhIj2B5nnTjTEbgWoi0rEU\n2qlUmdCBJKUuUiLyvIgsFZHFIpKIFTx1E5Ff7dk2x0TkdRHxtfP72GdImtjPF9ivr7bPtvwiIk2L\n2ZYFIvKGfTYwGejlJq26nX7Knj30ZG7AJyKjRORHu02xWGey8roG2GSMSbfLVANuA54xxiQbY34A\nPgfucdPUpsCPxpiDdkC5EAguTp/dMcb8aoyZZ4yJNcZkAjOAYBEJcldGRHoBLYAPCnj5F6C1iDQo\nyXYqpZRS5cynQC2gV26CiNQAbgLet5/fKCLbRCRBRI6IyBR3lYnIWhEZZT/2tmeoxIjIAeDGPHlH\niMhuO546ICL32+lVgNXApc6zg0RkiogscCp/i4jstOO3teI0W9qOlx4VkSgRibdjP//ivEF2XY+L\nSBSQbMeGBaW1sdsRZ7frFqc65ovIHBFZZcd3VxWwqeuBH3KfGGM2GmPeyRMbtRKRWgW10xjzL2PM\nHmNMjjFmA/AT0K04fS6us22DPQg3CxjvJsta8hw3Sl3MdCBJqYtbf2AR1tmSpUAW8BDWbJsewHUU\nPptlMPB/QE2sWU//Poe2DAaeBapiDX4UlPYmUBloBvTBumTLeapwd2A3UAdrGnBeocDvTs9bAWnG\nmANOadtxPzi0GCtwuVysadfDsAK8s1bAGU93rgCOGmPi3dSTG3iMA0ze140xGcABoF1x2qmUUkpV\nBMaYVOBDXOOKO7Fmxmy3nyfbr1fH+k/9AyJymwfV34c1IBUBdAQG5nn9pP16NWAEMENE2htjkrEG\nVf5yNztIRFpixScTseKfVcBKcV0f8U6smK4pEAYM96DN7tyN1ffqTrO0HGmAYM38/hprtvd4YKG4\nXoo2GJiKFd+tK2AbeeO1vK4AjhtjThfVWBEJADqRf9b2j2Jdsrgs9yTp2fI0liukDc4exjpZGeXm\n9d1oLKfKER1IUurits4Ys9I+W5JqjNlkjNlgjMmyB1feBq4spPzHxpjN9tmhhUB4YRuzz0w5/zmv\n/bPcGPOL3Zb0vGlADlYg9IQxJtFu3wysKee5Dhtj5tjrOaUW0ITqQKLT80Ag7wBNAlZgU5A/gfXA\nXiAFa+r1pEL6e6uIbBSRk3agcr2I1BCRW7EGyAol1sLmrwOPFJLtYeAnY0xkIXkSsfqulFJKKffe\nAwY6zdi5F6dL2I0xa40xO+xYJQprAKewOCnXncBrxpgjxphY4AXnF40xXxhj9hvLD1iDML0KqqgA\ng4AvjDHf2PHYdCAA6+RarteNMX/Z215J4fFa1zyx2v48r79u9yPVTVpXrPjqRWNMhjHmO6zZ3nc7\n5V9hjPnZfh/TCmhD3njNQaxlCt6g8NjI2VtYJwm/ckq7EmgCtAb+Aj4XN5fliUgDEVki1vqY20Rk\nop3WCmsWW3Hb4LyNRlgnbv9ZSB0ay6lypdTXVFFKlaojzk/EWhvoFaAD1swfH6CwO5wdd3qcghU4\nuGWMKewH8EgRaXUBb+CQU9ohoIGb/AU5g+sgURLW2T9nQbgJXrAGfyLsbZ7EOqP3nYgEuwmEBmAF\nTn/Zj5/BugTtJ4oIgESkLlYgOdMY85GbPI2AB4D2hdWF1ee4IvIopZRSFZoxZtgSwqUAACAASURB\nVJ2IxAC3icgmoDNwe+7rItIFeBEIASoBfkCBv9F5XIprjOIcyyDWHbn+BbTEOlFfGdjhYbMvda7P\nGJMjIkdwjY/yxmuFLZ79qzGmZyGvFxWvXQocsU8C5jrXeA0AEamDFRu9aYxZXEQdiMjLWPvqKmOM\nY9a2MeZH+2GGiDyEdVKxDQW/53dg7eMhWANwY4GnsE4uvlBAfo/akMdrwHPuZp/bNJZT5YrOSFLq\n4pb3B+2/wG/A5caYalhnRjy9BKuk25I37SSQDVzmlNYY64e8sDqcRWEFabl+BwLEdW2ndrifehwO\nLLbP6mUZY/6Hteiju8W5h9tnGFONMQuMMT2MMXWNMQOMMYfclMG+5n8N1oyvgi7Ry9UFqA/sEZHj\nWIOA3e3HuXVVwroUcHvBVSillFLKyftYM5HuAb4yxpxwem0R1qLPjYwxQVgzTTyJk44BjZyeN859\nICJ+wCdYM4nq2SfdVjnVW1Rs8xdOsZF9uVUjXOOjklRUvPYX0EhEnP+feK7xWu56VV8DnxljphbV\nSBF5FuuywGuMMQlF5cf9fnzdGPOJPdt9izFmpB3LRRhjPiyhNvQFXrYvtcuN4X4RkcFOedqgsZwq\nR3QgSanypSrWWZlke6HGC+ZuX/Z07Y+BaSISaA/+PAwsKLyki6+BTrnrBtg/6iuAf4tIZRG5Ausa\nf3d1bgLuFJG6IuIlIiPs9AMFZc5zNs4jYi2q/TXwnTGmoAXDna3EWu8g3P57FtiM65T1rsAf5u87\nnyillFLKvfeBfljrGuW9M2tVINYYkyYinbHW+vHEh8AEEWloD4g84fRa7symU0CWPTvpGqfXTwC1\nxP1NNz4EbhSRvmLdIGUSkI51KX5Z2IA16+kxEfEVkd5Ydy9bchZ1rMLpkkGxbo7yFfCzMeYJt6X+\nzv8k1r7pl3cdJREJFpFwsRZADwRexRrk2l1QXcWJ5YpqQwFaYp3IzI3nwHrPnO/aeyXFXJdTqQuR\nDiQpVb5MwlpAOhFrdtLSkqxc/r7jSO7fhLOs4kEgA4jGupvHe9h3UvGEvUDlT1g/zrnGYF3edgrr\nrmf3GWP22O1tZrczdwr4NGAX1hmhOKwFrm/38EyXpwZiXao2Ks97dandpmEist3uT7ox5njuH9b6\nThn241xDsM6YKqWUUqoIxphorEGYKlizj5w9CDwn1t1u/4k1iOOJuVgDIduBrcAyp+0lAhPsus5g\nDT585vT6Hqy1mA7Yaxa5XJZmjPkda/bULCAGK8a52b7ZRnF0KyBe6+RpYXu7N2PNxInBulHKvbmx\nlYdWYt1xNrev/bEWqx6Rp12NAURkiIg4zyafhjULap9T3qfs1+phxbcJWCcCLwNusk9YlqTC2pAb\nE/cCMMaczBPPAcTkrkNlv/9JxpiNJdxGpcqMuL/UUymlLjwiEgrMNcZ0Leu2lDYRqQ98C4SfQ0Cp\nlFJKKXVeichooK0xZmJZt6WsicgnwDvGmFVl3RalSooOJCmllFJKKaWUUkopj5TapW0i0khEvheR\nXSKy015R313eTiKSJSIDS6s9SimllFLlxbnGWSJynYj8LiL7RKTINUuUUkoppXKV2owk+5KM+saY\nrSJSFdgC3GaM2ZUnnzfwDZAGvGuM+bhUGqSUUkopVU6cS5xlp/0BXA0cxboRwd15yyqllFJKFaTU\nZiQZY44ZY7bajxOxVtJvUEDW8Vi3zDxZWm1RSimllCpPzjHO6gzsM8YcsNdfWwLcWspNVkoppVQ5\n4XM+NiIiTYAIrNtJOqc3wFrF/yqslfzdlR8NjAYICAjo0KhRoxJtX05ODl5eXvhmJuKfdoLfTSNq\nVK5EgI+U6HbKWm4/y7uK0k+oOH3VfpYvFaWfUHH6WtL9/OOPP2KMMXVKrMJyrhhxVgPgiNPzo0AX\nN3WflxgMIC7dEJduaFLt72OpauI+ABKrXl6i2z3f9LugfKko/YSK01ftZ/mi/Sw+T2OwUh9IEpFA\nrDNhEwu4xfZrwOPGmBwR94M2xpi3gbcBOnbsaDZv3lyibVy7di29e/eGP76GRXdwe/pDPDTiHq5s\nWb5iWEc/y7mK0k+oOH3VfpYvFaWfUHH6WtL9FJFDJVZZOVcScVZhzlsMBry25g9eW7OXPS/cgKO9\nU4Lsf38v0e2eb/pdUL5UlH5Cxemr9rN80X4Wn6cxWKkOJImIL1Zws9AYs6yALB2BJXawUBu4QUSy\njDGflma73KpSC4CakojezU4ppZRSF7LixlnAn4Dz1KKGdppSSimlVJFKbSBJrKjlHWC3MebVgvIY\nY5o65Z8PfF5mg0gAlWsDUFMS0GEkpZRSSl2oziXOEhEfoIWINMUaQLoLGFz6rVZKKaVUeVCaM5J6\nAEOBHSISaac9BTQGMMa8VYrbLp4q1kBSLRLRkSSllFJKXcCKHWcZY7JEZBzwFeCNdTe3naXcXqWU\nUkqVE6U2kGSMWQd4fEG+MWZ4abXFY5WqkO0TQM2sBIyOJCkgMzOTo0ePkpaWVtZNKVBQUBC7d+8u\n62aUOu1n+VJR+gkVp6/F7ae/vz8NGzbE19e3FFpVvp1rnGWMWQWsKuFmKVViLuQYrKJ8t0PF6av2\ns3zRfhbtXGOw83LXtotJtn8taqbnXatSVVRHjx6latWqNGnShOIuVFqaEhMTqVq1alk3o9RpP8uX\nitJPqDh9LU4/jTGcPn2ao0eP0rRp06ILKKUqlAs5Bqso3+1Qcfqq/SxftJ+FK4kYrPzfE+8sZfnX\npBaJ6FrbCiAtLY1atWpdcAGMUkpd7ESEWrVqXZCzDZRSZU9jMKWUKh0lEYPpQFIeWf41qSXxOpCk\nHDSAUUqp0qHfr0qpwuh3hFJKlY5z/X7VgaQ8sgNqUVMSdYUkpZRSSimllFJKqTx0ICmPbP9a1CIB\nk5NT1k1RSimllFJKKaWUuqDoQFIeWQG18JdMvLJTyrop6iLz1g/7Wb8/xiVt/f4Y3vph/znVKyJM\nmjTJ8Xz69OlMmTIFgNmzZ9O2bVvCwsLo27cvhw4d8qjOyMhIRIQvv/zSbZ4pU6Ywffr0IutasGAB\nYWFhBAcH065dO0aNGkVcXJxH7XAnMDCwyDxNmjRhwIABjucff/wxw4cPP+ttzZ8/nzp16hAeHk5w\ncDADBw4kJaXwz//atWtZv359oXmio6MJCQnxuB3Dhw+nVatWpKenAxATE0OTJk08Ll8SoqOjERFm\nzZrlSBs3bhzz588/q3q2b99OeHi44/nixYsJCAggMzMTgJ07dxIWFlZoHf/85z9Zs2ZNoXncHaNx\ncXG8+eabhZaNjo4mICCAiIgI2rRpQ+fOnc+6n6VhypQpVK5cmZMnTzrSPPk8eFKvJ5/n0jJt2rQy\n27a6+OjyAupslUUM9uqrr2oMZtMY7NxpDDa/0DLng8ZgZ0cHkvLI8q8FgG9abBm3RF1swhoGMW7R\nNkcgs35/DOMWbSOsYdA51evn58eyZcuIiYnJ91pYWBibN28mKiqKgQMH8thjj3lU5+LFi+nZsyeL\nFy8+p7Z9+eWXzJgxg9WrV7Nz5062bt1K9+7dOXHiRL682dnZ57StgmzZsoVdu3adcz2DBg0iMjKS\nnTt3UqlSJZYuXVpofk+CmOLw9vbm3XffLVbZrKysEmlD3bp1mTlzJhkZGcWuIzQ0lMOHD5OYmAjA\n+vXradOmDdu2bQNgw4YNdO/evdA6nnvuOfr161es7XsSxAA0b96cbdu2sXv3bpYsWcJrr73GvHnz\nirXNklS7dm1eeeWV87KtkjpuiqIDScoTgq6Ho4qnLGKwiIgIjcE0BgM0BnOmMZjnLvYYTAeS8sgO\nqAlApfQzZdwSdaF5duVOBv33F7d/M9fspW5VP+59ZyM9XvyWe9/ZSN2qfsxcs9dtmWdX7ixyuz4+\nPowePZoZM2bke+2KK66gcuXKAHTt2pWjR48WWZ8xho8++oj58+fzzTffuKzWP3XqVFq2bEnPnj35\n/fffHelz586lU6dOtGvXjgEDBjjOFk2dOpXp06fToEEDwPoRHjlyJK1atQKsM1aPP/447du356OP\nPnJbz8GDB+nWrRuhoaE888wzRfYh16RJk5g6dWq+9NjYWG677TbCwsLo2rUrUVFRHtWXlZVFcnIy\nNWrUAGDlypV06dKFiIgI+vXrx4kTJ4iOjuatt95ixowZhIeH89NPP3HixAn69+9Pu3btaNeunSPA\nyc7O5r777iM4OJhrrrmG1NTUQrf/4IMPMmPGjHw/LMYYJk+eTEhICKGhoY4ga+3atfTq1YtbbrmF\ntm3bEh0dTevWrRk+fDgtW7ZkyJAhrFmzhh49etCiRQs2btxY5HtQp04d+vbty3vvvZfvtcjISLp2\n7UpYWBj9+/fnzJmCvye9vLzo2LEjGzZsAKxgc+zYsY73ZcOGDfTo0cPx2pVXXkmHDh249tprOXbs\nGGCdHfz4448BWLVqFa1bt6ZDhw5MmDCBm266ybGtXbt20bt3b5o1a8brr78OwBNPPMH+/fsJDw9n\n8uTJRfYZoFmzZrz66quOOpKTkxk5ciSdO3cmIiKCFStWANY+ffTRRwkJCSEsLMxx5vC5556jU6dO\nhISEMHr0aIwx7N+/n169ejm2sXfvXtq3b19kW0aOHMnSpUuJjc1/QuPVV18lJCSEkJAQXnvttULr\ncfd57t27NxMnTqRjx47MnDmT6Oho+vTp4zirfvjwYcDaB2PGjKFjx460bNmSzz//HLDupDRixAhC\nQ0OJiIjg+++/B6wzy+PGjXNs56abbmLt2rU88cQTpKamEh4ezpAhQ4rsv1JK5XUhxmBXXXWVxmAa\ng2kMdoHGYAcOHHCJucprDPbjjz8CZROD6UBSHjkBtQE4/ddBl/SSmB6ryr+gAF/qVfPjz7g06lXz\nIyjAt0TqHTt2LAsXLiQ+Pt5tnnfeeYfrr7++yLrWr19P06ZNad68Ob179+aLL74ArB+TJUuWEBkZ\nyapVq9i0aZOjzO23386mTZvYvn07bdq04Z133gGs6bFFfSnXqlWLrVu3ctddd7mt56GHHuKBBx5g\nx44d1K9fv8g+5LrzzjvZunUr+/btc0n/17/+RUREBFFRUUybNo1777230HqWLl1KeHg4DRo0IDY2\nlptvvhmAnj178uuvv7Jt2zbuuusuXnrpJZo0acKYMWN4+OGHiYyMpFevXkyYMIErr7yS7du3s3Xr\nVoKDgwHrR2vs2LHs3LmT6tWr88knnxTajoYNG9KzZ08++OADl/Rly5YRGRnJ9u3bWbNmDZMnT3b8\n2G/dupWZM2fyxx9/ALBv3z4mTZrEnj172LNnD4sWLWLdunVMnz7d4zMSjz/+ONOnT893BvPee+/l\nP//5D1FRUYSGhvLss8+6raNHjx6sX7+e5ORkvLy86N27t0sQ0717dzIzMxk/fjwff/wxW7ZsYeTI\nkTz99NMu9aSlpXH//fezevVqtmzZwqlTp1xe37NnD1999RUbN27k2WefJTMzkxdffJHmzZsTGRnJ\nyy+/7FGfAdq3b8+ePXsAKwDo06cPGzdu5Pvvv2fy5MkkJyfz9ttvEx0dTWRkJFFRUY4f5XHjxrFp\n0yZ+++03UlNT+fzzz2nevDnVqlUjMjISgHnz5jFixIgi2xEYGMjIkSOZOXOmS/qWLVuYN28eGzZs\n4Ndff2Xu3LmOM4x5FfZ5BsjIyGDz5s1MmjSJ8ePHM2zYMEd/JkyY4MgXHR3Nxo0b+eKLLxgzZgxp\naWm88cYbiAg7duxg8eLFDBs2rNDbx7744osEBAQQGRnJwoULi+y/UkoVh8Zg+WkMpjFYRY3BmjVr\nRlBQULmPwXLT3SnNGMynRGsrBzJqXM4pU40uu6eS/tIM/FKOk1alPp+nDGR49yYw41aIPwpBDaHv\nPyHsTkfZt37YT1jDILo3r+1IW78/hqij8Yy5srnbbRa3nDq//nVzcJF5cqdST+hzOQs2HOahfi1c\n9mtxVatWjXvvvZfXX3+dgICAfK8vWLCAzZs388MPPxRZ1+LFi7nrrrsAuOuuu3j//fcZMGAAP/30\nE/3793ecXbvlllscZX777TeeeeYZ4uLiSEpK4tprr81X744dOxg6dCiJiYlMmzaNQYMGATj+Laye\nn3/+2fEDP3ToUB5//HGP3hdvb28mT57MCy+84BLArVu3zlFfnz59OH36NAkJCVSrVq3AegYNGsTs\n2bMxxjB27FhefvllnnjiCY4ePcqgQYM4duwYGRkZNG3atMDy3333He+//76jTUFBQZw5c4amTZs6\nrlPv0KED0dHRRfbpySef5NZbb+XGG2906c/dd9+Nt7c39erV48orr2TTpk1Uq1aNzp07u7SradOm\nhIaGAhAcHEzfvn0REUJDQz3aPlhnhrp06cKiRYscafHx8cTFxXHllVcCMGzYMO644w63dXTv3p1X\nXnmFXr160alTJ5o3b86+ffs4deoUycnJNG/enN9++43ffvuNq6++GrDONOUNYvfs2UOzZs0cfbz7\n7rt5++23Ha/feOON+Pn54efnR926dQuc0u8p47Qwy9dff81nn33muKY9LS2Nw4cPs2bNGsaMGYOP\nj/XzWbOmNYv1+++/56WXXiIlJYXY2FiCg4O5+eabuffee5k3bx6vvvoqS5cu9eiMJMCECRMIDw/n\n0UcfdaStW7eO/v37U6VKFcD6z8VPP/1EREREvvKFfZ7B9XP5yy+/sGzZMsD6/DlfnnHnnXfi5eVF\nixYtaNasGXv27GHdunWMHz8egNatW3PZZZfl+4+EUkqVJI3BNAbTGExjsLOJwXr37s2oUaPKfQzW\nqFEjx0Dm+aYDSXkYv6oszOrLQ77LkRTrzIN/8l88xxt4/eIFOdZCZcQfIfPT8fyw+wT9Blk709sL\n/jF/M+8M70j35rUdP2izB+c/wJw1qhHA2IVbeWNIe0e5f8zfzCPXtHDkeeuH/Xh7QXYOjsGlJ5dZ\nU0VfuD3M4zwVodz839L5KjaqRLbXvlomJxPTqFvVH4CjZ6xpwA1rVHaUy007HJvCuEXbeP62YDo1\nqUnr+lUd+79xzcpuy+WmnUxMQwADLtvL/VqdOHEi7du3Z8Bd97h82X702Sqe+/fzLF/9NX5+foW2\nMzs7m08++YQVK1bw7+efxxhDbGys4zrqhNRMjp5JyVdu6L3DWPnZCtq1a8frb81l/U8/cjIxjeDg\nYLZu3UqL8C7UaGidfRg3bhypqanW9nKM4wv3ZGIa9w4bxvxFH3JVd2tRvS++XuNoq4i1NsafTn3O\nLZeRnkMqrvshO8fKNXToUJ6fOo0ml7ciLfPvszfH4lOpVEBf8r7niWmZpGZkOdrQrffVzJv7Fk88\n8QTjx4/nkUceoX2vfvyy7kfeeOVFAJLTs8A3/7Hh55ftsj0vH1/H++nt7U1MXCKnEtPy7WNnLVq0\noGXbEN6ev8CRlpKRRWKa6/ZiktJJlzTH+5vbZy+fv8/AZmQb0nOEk4lpeHl5kZWVVegx7Pyej3lo\nEiOHDqbvVb2t/RL393ueKzM7x+V4cT6Gu3btyqZNm1i1Zi0tQ60zpg0bNmTJkiW069DJOraNITg4\nmBVff5/v2E/OyOJ0UjqXO23v6JkUYpLSHc+T07Oo4uvneF+8vb05cjqRvAra76eT0sly6s/RMyn8\n/OMvtGnTBrACmjfeXUDzFi1dyqVnZROXkuFSLi0tjQcffJDNmzfTqFEjHnn8aU6esdpx66238sKL\n/6FDt56EtAunVq1abtskdp8CA6F69ercdPsdTJvuejlF3s9oYlpmgceUcxtz8zmnpePjKOfcl9zF\nOHOdSclw2d6ZlAzSs7I541RXdo4hKSMHHx8fcpzueFrYGTKllCpJzjF39+a16dq8lsvzc5Ubg+Wd\n0bBmzRqmTp3KDz/84IjB3HGOwaZOnYoxhtOnTztiMHeGDx/Op59+Srt27Zg/fz5r164FcMRgV111\nFaGhoS4xWC7nGMFdPfB3DHa2hg4dygsvvHBWC1u7IyLcfPPNzJo1yyUGu+WWW1i7dq1jkXNPOe8P\nb2/vIi9tAysGCw8P58MPP/RoG87vb95tenl5OZ7nxmCeeuqppxg4cKBj4Ohs5cZgP//8M926dQP+\njsE6d+4M4IjBfvnll2JtA/K/x+ey5s+2bdtcYrBPPvnEcZlmYfLGYFOmTHHEHwMGDODZZ5+lT58+\ndOjQwRGDFaV69eoMHjyYN954o9j9KUze48advJ/Lwj6nZRGD6aVteQjCQO+f8i336EM2XjmuAbZv\nThpdDloH2Pr9McxZe4BxfZoz5oMtvLh6N+MWbePa4Hr5tuF8mdwv+08zdtE2zqRkMuR/G+j+4reM\nmLeJLk1rMnPNPhb8Gs3BmGRSM7KY9sUexw5bvz+Gz6OO8XnUMcfCgt5eMO2LPXh7uc9TEcptOJZV\nYttLSM1yHAtJaZnEp1p/SWmZ+dI2H4xl9uAIOjWpybH4NDo1qcnswRFsPhhbaLncNAGOxafl254x\n1uOaNWty2+0DWPTBe6RlZZOUlsn27duZ/NA4XvnfQurWqetS7opO4fm299U3awgOCeXIkSNs+e13\nvlgfxU233Mby5cvp2KU7q774jBOxCRw7FcvKlStJz8wmPjWTxMREqtWoTWZmJp98uITUjGwE68zN\nI5Mm8fv+aEdfUlNTSbPL5Rjj0r+EhETqXXIJmZmZvP/BAjKzcohPzaRLt24sWbKEpLRMFi1a5Ogz\nQI8O7YhNM/nel9y6fX19uX/seN6c/brjM9a1Ww+WLFpEfGomq79eQ+3atfGqFFDgex6X8vfnOikt\nk5/W/Uz9RpdZ24mPp0btesSnZrJowQeOgZTAqoEcj4lztOnK3lcx979vWfUnpxEfH09yeiY5Bpft\n4WYfx6dmkpmd40gbMfYR5sx6zXHnoq7de7B06YfkZGdz6tQpfvjhR5q3bUdSepZjMCQpLZPENGub\nzts7k5Lp2F6OMcSnZrJu/a8MHnJPvjYkp//9vgTWu4xWrVuzcuVK0jKzMb6VCawWxFdrrPVw3pk3\nn4jO3d0ew1WrVqVBw4YsWfg+LULbk5SWSbdu3Zgx4zXCOnQhPjWTBpc149SpU2ze8CvH4tPIysxk\n586dJKVlkpmVQ0pGNg0ua8aBAwfY+fte4lMzWfbxRy4DQIlOn9EcY6z3wNufhITEQj9rJxPTXfbD\nrj/28ewzT3LfmAcBuKpvP/47503iUjJISstk27ZtCBDe9Qren/c/srKySErL5PBfJzkVl4jBWqDx\neMwZVq5Y7viM+vv7c1Xffjz60ATuHnKvY3tT/vkMnyxblu+9cz4W7xr5AB/Me8cRmHXo3I1VX3zG\n8dh4TpyOY/ny5XTr3qPAYyq4QxeWLV9Oamoqx07F8vXqVaRl5RS4r7p37878DxZYx/nChXTrbq2d\nkJmdw4rlyziTnE7Urj0cOHCAy1u0pG1EF5Z9uASAbTt2En3oMK1btaRJkyZERkaSk5PDkSNHXM78\n+fr65hukUkqpkhJ1NN5l0Kh789rMHhxB1FH3l6OdjZo1a3LnnXc6LgcD6z++999/P5999hl169Z1\nyd+6det8dXz77beEhYVx5MgRoqOjOXToEAMGDGD58uVcccUVfPrpp6SmppKYmMjKlSsd5RITE6lf\nvz6ZmZkul6Y8+eSTPProoy5rMxU2WOKunh49erBkifWdnvfSl4L64czX15eHH37YZQ2pXr16OepZ\nu3YttWvXdjsbKa9169bRvLl10jc+Pt6x/pPzmkFVq1Z1GXzr27cvc+bMAazBusIuQfTE008/7XKH\nrV69erF06VKy7Rjsxx9/dAzGFMfGjRuLvNyvdevWtG3b1nEcBAUFUaNGDX766ScAPvjgg0IHmapW\nrUqjRo2YN2+eYyCpW7duvPbaa3Tt2hWAVq1acerUKcdAUqYdgzlr1aoVBw4ccMymKmoh9NxtFzU4\nmld0dDSPPvqoY6bNtddey6xZsxwnznMvIbv66qv573//64iLYmNjHQMmtWvXJikpybG2E4C/vz/X\nXnstDzzwgMsg8JNPPsny5csLbdMjjzzisq1evXrx6aefkpKSQnJyMsuXL3dZB9NZYZ/nvLp37+7y\n+XOu86OPPiInJ4f9+/dz4MABWrVq5fL5+uOPPzh69CitWrUqkxhMZyQV4FLJf2cGd6qkHif8ua9J\nSM0kKMCXl7+yppa99cMBRvZoQr+29VzOiDifMTHGMOObP6hXzY+hXS/jix3H2H0skcqVvFn7h3UN\n6jOfun6gp63ewwur92CwBjoEYfDcDXgJ5BjwEpj6xR5eXLWHbAO+3pInzwb8fLwQYPDcDfh6C5nZ\nBl9vYdoXe3j5y9/JzDb4+1p5hjjlqVzJG8RK8/PxIj0rBz9fL6Z9sYdXvv6D9Mwcqvpbh9SQuRvw\n9/UiLTOHqv6+iMCQ/20gwNeb1MxsKlfyZtqqPbz2zV5SMrOpHmDlued/G6hcyZuUjGxqVPZFEO75\n3waqVPIhOSOLqv4+vLBqD69/u4/k9CxqBVZy5An08yEpPYtqlcCvkjf3/G8D1fx9SUjLpHplX15Y\ntYc3vttPQlom9ar5I1jbCwrwJT41k0uCrLSh/9tAUGVf4lMymXtrfY7Hp3MqMYPsHOt9AjgYk4K3\nl1hpPlbaVa3r4e0lHI9Px9fbi+Px6VQPqORId1fOJc0u59iej3UPm9w8tw0dw3/nzMFLhIMxKUx+\n8hkSk5KYPGYEYKjfoBGvv7uYpPhYDCbf9r5c8Qnd+lzPrr8SHNvr0e9G5s5/lzff/5gbbrmdAdf0\npGatOrQMCSc2ORNvL2HC40/Ts2d3ataqTWh4B1JTkjken06T8J4MGHofDwy9g5zsbAKrBdGidRta\ntu9p91k4HJtKipe1vQmPPc3VvXu51OPjJYx/aipPjr+PZ59/gX7X3eDoc0JcLJnZOfgILu9LJR/X\nuvvdejevvPQiqRnZ7PorgSEPPMqUyeO4vV8P/PwDePblNzgYk2KXc33PgN7Z7gAAIABJREFUvb2E\n5Z98zM8/rycnJ5v6lzbghZlzOBiTwj8mPMbddw8iKKg6XXtewdHDh9h1LIH2Pa/m0THD6PX1Kp6e\n+jLjnprKv5+cyLIlC/Dy8uKfL86gZu26CODjZe2rEwlpJKVn/b2PkzLIzjaONiWlZRGTksPBmBRa\nt2lLcGg7du7Yzq5jCXS44jp+Wreenl064eUljH9iCpdcUp9DB/aRmpHN7mMJZGUbvL28HO+dj7eQ\nmpHtOCZPnEwkI8vg4+XFiWN/kim+jnKVfKxR1oOxqaRn5TiO4aFjHmbldVcQk5iOj5cX/3n9v0x+\nbCIT0lJp0OgyXpw5Bx8vL8f2srL/PoZjkjJoG96Ztd+solGjxhyMSeHSlmEcPHiA9h274OPlxZ8J\nWbw0Zz7/9/RjJCclkpWVxb33PUD/uxoiInh5CceTDU8+P52bbryRypWrEBrenkQDu48lkJSeRWCg\nv2N7GVnWe1C7dm1C2nemReu29OjdjyenTHXs97/bKRw8cIA2IWGkp6cTGBjI0FEP0POGO9h9LIFB\n9z3M9Oee4vZ+PcjJyaFh48uYNW8pg+4ZzuED+2nVNgQfHx/uvGc494y8n9sG3UurNm2pVaceoeHt\nHZ9RLzH0vnEAn6/8jNYdezne8317dtHv2hvyvXdJ6VmQkMbBmBTq1K5Dv+tv5r2332D3sQSCGrXi\n9jvvYfCNfckxcMeQe6nTpA0+3uJ4D3L3Z1i79lx1/W20CQmlZq06hEb83aaUjGxOJ2XS0N5XE/5v\nGk9NfJDp01+hZq3aPDt9tvX+pmVxaYNG3H1jX5ISE3h62qvEpQv3jLiPKY8/TMs2wXh7e/O/d96h\nehV/GvboQdOmTWnbti1t2rRxWbtj9OjRhIWF0b59e10nSSlV4gpaCqJ789olMhsp16RJk5g9e7bj\n+eTJk0lKSnJcYtS4cWM+++wzYmJiXGaO51q8eDH9+/d3SRswYABz5sxh9erVDBo0iHbt2lG3bl06\nderkyPPvf/+bLl26UKdOHbp06eL4T/oNN9zAqVOnuP7668nOzqZ69eqEhIQUeOlbYfXMnDmTwYMH\n85///Idbb73Vkd9dP/L6xz/+wfPPP+94PmXKFEaOHElYWBiVK1cucOFoZ0uXLmXdunXWb23Dho7b\nwE+ZMoU77riDGjVq0KdPHw4etNavvfnmmxk4cCArVqxg1qxZzJw5k9GjR/POO+/g7e3NnDlzzmqt\np7yCg4Np3749W7duBaB///788ssvtGvXDhHhpZde4pJLLnGs53O2Dh8+XOAlknk9/fTTLpdNvffe\ne4wZM4aUlBSaNWtW5B3OevTowYoVK2jUqBFgDSQ99dRTjkGwSpUq8fHHHzNhwgTi4+PJyspi4sSJ\njjWmAAICAnjzzTe57rrrqFKlistx6U6tWrXo0aMHISEhXH/99W7XSdq/fz8RERGkpaVRtWpVJkyY\nwPDhwwH4v//7PyZOnEhYWBg5OTk0bdqUzz//nFGjRvHHH38QFhaGr68v9913H+PGjeO+++4jJCSE\nSy65JF8bhwwZwvLly7nmmmscaTt27Mh3uVletWvXpn///o5B0vbt2zN8+HDH+zdq1KgCL2vLzevu\n85zXrFmzGDFiBC+//DJ16tRx2a+NGzemc+fOJCQk8NZbb+Hv78+DDz7IAw88QGhoKD4+PsyZMwc/\nPz96lEEMJp58QVxIOnbsaDZv3lyida5du5bevXsDEJeSQepLbaiPZ4NJJ6QOXVJn0qpeIGENqyMC\nX0QdIyM7h+wcwwu3h3EwJpl5Px9kQIeGLN/6J49c04L7ejVn/f4YBs/dwLBul5GRncNXO09wT5fG\nLNhwmOl3hFE/KIDZ3+3jix3H6N2qDj2a12bN7hNsOBhLx8tq0KmpdV3oxgOxbDl8hg6Na9CxaQ02\nHYxl6+E42jeuTscmVp7N0VZaRKPqdLjMuhvC5kNniDwSR3ij6rRvXIOth84QeTSOdg2DiGhs5dl2\n+Azbj8bTrmEQ4Y2q22lxRP0ZT1iDINo1qk7kkTh2/BlPaINqhDW08mw/GsdvfyYQ0qAaoQ2stKij\ncez8K4HgS6sR2iCIHX/Gs/OvBNrWr0ZIA+tMxW9/xrPrWCJt6lcl+NIgR9qe44m0vqQqbS+txq6/\nEhzP29S3yu06lsDvxxNpVS+QGl6p1KtXj93HEvjjRBIt6wXS6pJq7DmewN4TSbSoG0jLS6oC8Pvx\nRPadTOLyuoG0rBfoSNt/Kpnmdarw7BU1qNOoGelZ2fj5eONn/4c7PSunyDRP8pRWuXXffcXh6IMM\nHjnmAm6nF34+3naebGtgMk/a11+u4vjRw4wYdT/ZSIF5nNPc1aPlXJ9Pm/I0N91+J01ati3R7VVy\nKpfh9Dw3T26aNwYfH598+dyVi4tPoHpQNSp5e/HPxx+m4WXNGPyPBzzenru081VuwdzZpCYlMnby\n0448o+++nfc+WlFmbfKk3L8mjaXftddzwy393ZarHejHpdUDSExMpGpV63v1bO3evdsxnT2XiGwx\nxnQsVoWq1JR2DDZzzV5mrPmDA9NuwMs+AcMU+/btU0pmZklZce5neVaS/Szou+FCUdh33ueff86B\nAwdcFs29GOX2Y8SIEcX+fr+YnMvv2NmYPHkyQ4cOJSwsrOjMpeBs+5mUlERgYKBjDasWLVrw8MMP\nl2ILS0ZuP6dPn058fDz//ve/Ha9de+21fPXVV2XYuqINHz6cm266iYEDBxaa71yP23OJwfTStjyq\nV67EzjYTyfbOP1Kcd8gt08ufmdzNhD6Xcyopg5aXBLJm90nmDuvIktHdqOTjxeOfRPHWD/tJz8ph\n0YbDhDaoxpy1B1i/P4aZa/ZSPcCXT7Ye5fOoY8weHMEj17Ri9uAIHv0oinX7TvHLgdNM6HO5NTVX\nDHtPJjGhz+UciEmmV4va9GpRm4Onk5nQ53IOnk6mdmAlok+nMKHP5USfTqF3qzr0blWH6NMp3NLc\nl0OxKfRpU5c+bepyONbKdzg2hfrV/Th8xnp+5Ewq1wTX45rgehw5k+pIuzbkEq4NuYSjcVba0bhU\nGtcK4E/7+Z9xadwYVp8bw+rzV1waE/pczl9xadzcrj43t6vPsXgr7Vh8Gs3rVnE8P56Qxm0RDbgt\nogHHE9KZ0OdyTiSkc3v7BtzevgEnE620k4nptKlf1eX5HR0bckfHhpyy004lZXBlQ18GdWpETFIG\nE/pcTkxSBmENq3Hafn46OYMhXRozpEtjYpOttNjkDO7pehn3dL2MMymZTOhzOWdSMqnkY81aqVvV\nn+wcQ+3AStQOrFRkWhU/7/NSrrqfFFhu0O23MvmRiRdMOwsuh1MeCky7o/9tDBk5Bn8f3ObJTbPq\nLjzPhV7O2p+lv71Xp7/M5a1DSrx/OTkQ6OdNjtPzOoGVqBNYySUtyE/ypRVW7qtPFnFb357ccEUn\nMlOSuOOeEWe1vYLSzle5x0bfw4qPljB2/HiXPKtWry6zNnlazhgI8vcptFxciuulm0opVdHddNNN\nF/0gEpSfflxoXn755TIbRCqOuXPnEh4eTnBwMPHx8dx///1l3SSP9e/fn/fff5+HHnrIJf1CH0S6\nWOilbQXoN2g8RNWDb5+z7tBWqTLZWVnMzLmTcQFfUSn1JGk+1Xg85R5Crh/Ofb2a07V5LccC2bnT\naD+8vxvzf44mKSOLjQdi8ff1YmP0GRrXDGD4u5vIyM6hciVvbg2/lJvbXepyXfcDvZvx6td7HQt3\nVw3wYdoXe3jqxtaO7d3/wRYA/ju0g0d5Mo78xl19Qs66XO6ihRdLuX+8uwGfHVtKZHsJqfE0rVqJ\nOlX9CfTz5lCstUDuZTUrE+jvW2Cat5e19kj9IP9SL2cy0wjw9z1v2yvbcn5uy3lS9/KlCxy38qzk\n44WXCO07dWXiv148r30ZP24cv23bhI+XkGMMGVk53DNqDBMfGI3JTKNmVf8L6D0vutzzTz3Kzm0b\n8RIhK8eQlZ3Dg+PGM+GB0W7LRZ9ORlJTPN7ev556jEmPPFysdh7au4uOVw9z2e/ePr7M+/Sb8/J+\nfrR0MWnYn9FCvkuKu6/iz5ymV9fr8PH2cjmm3ln6Ge0ub3hOfVnw/nwOxaZwKLbwfXU4NpXaAVD+\nz1crpZQqjnnz5uW7nXqPHj1KbTFjd8aOHcvPP//skvbQQw95dFv4C9H56M/DDz9c7BlIuXcTdObn\n58eGDRtKomlFKmodpHN1+vRp+vbtmy/922+/9Xhhb3dyL/G8kOlAkjthd1p/AMYw/7soujZpQKVm\ns2BWB05Sl5ArR2Gvj0v35rV5Z3hHl0X9whpWZ2DHhoxbtI0372lPh8tq8NjHUXwedQyx5zcN796E\nx67Lv5Bddg6OQaTc50/d2NplezeF1Xc89iTP2iPFK1fc7ZVVuS71fah/af0S2V61QB/HTLRAf1+C\nAnwdj92lGaB+kP95KZeYmXZet1dW5Wr6S6HlPKn7gdGjuPmOwUDBd8o7X32ZNXt2gXdty92fF8p7\n7mm5l2fMPOv3s4qv4Ovre17a2aVje9asswKWstjvnn5Gi/se1KhVi59+3eT2mCrp7RVUrnFNiEty\nvfOfUkoplWvEiBEXxGDN+R64Km0Xen9y7yZYXtWqVatc968oukYSxbie++v/g1/nwGP7wT+o0Kxv\n/bCfsIZBLov9zf1pP69+vZdRvZqycMPhErs1aVH0+vyzdyFfnw/n73rusqb9LF8qSj+h4vRV10iq\nGM7XGkn7p93guEmFrpF0cakoMVhF+W6HitNX7Wf5ov30jK6RdL61vglyMmHvN0VmHXNlc5dBovX7\nY5iz9gDvDO/IJHs9pHGLtjluOa+UUkopVRGJlHULlFJKKeUJHUgqjoadoEpd2Hn2111GHY13mYHU\nvXltZg+OcLkkTimllFJKKaWUUupCpGskFYeXl7V+0oa3IOkkBNb1uOiYK5vnS+vevPZ5ubRNKaWU\nUkoppZRS6lzojKTiaj8McrIgcmFZt0RdSKI+hBkhMKW69W/Uh+dcpYgwadIkx/Pp06czZcoUAGbP\nnk3btm0JCwujb9++HDp0yKM6IyMjERG+/PJLt3mmTJnC9OnTi6xrwYIFhIWFERwcTLt27Rg1ahRx\ncXEetcOdwMDAIvM0adKEAQMGOJ5//PHHDB8+/Ky3NX/+fOrUqeO4tenAgQNJSSl84eC1a9eyfv36\nQvNER0cTEhLicTuGDx9Oq1atSE9PByAmJoYmTZp4XL4kREdHIyLMmjXLkTZu3LizvnPE9u3bCQ8P\ndzxfvHgxAQEBZGZat4nfuXNnkbe+/ec//8maNWsKzePuGI2Li+PNN98stGx0dDQBAQFERETQpk0b\nOnfufEHcIWPKlCk0aNCA8PBwWrRowe23386uXbvKrD2evJdKKXVBOM8x2KuvvqoxmE1jsHOnMdj8\nQsucDxqDnR0dSCquOi2hVgv47vkS/cFSF7GoD2HlBIg/Ahjr35UTzvm48PPzY9myZcTE5F9HKyws\njM2bNxMVFcXAgQN57LHHPKpz8eLF9OzZk8WLF59T27788ktmzJjB6tWr2blzJ1u3bqV79+6cOHEi\nX97s7Oxz2lZBtmzZUiJf8IMGDSIyMpKdO3dSqVIlli5dWmh+T4KY4vD29ubdd98tVtmsrKwSaUPd\nunWZOXMmGRkZxa4jNDSUw4cPk5iYCMD69etp06YN27ZtA2DDhg1079690Dqee+45+vXrV6zte/rD\n27x5c7Zt28bu3btZsmQJr732GvPmzSvWNkvSww8/TGRkJHv37mXQoEH06dOHU6dO5ctXGp+pvC70\nIEYppYAyicEiIiI0BtMYDNAYzJnGYCXnQo/BdCCpuKI+hLhD1qykEvzBUhew1U/AvBvd/60YB5mp\nrmUyU610d2VWP1HkZn18fBg9ejQzZszI99oVV1xB5crWLc27du3K0aNHi6zPGMNHH33E/Pnz+eab\nb0hLS3O8NnXqVFq2bEnPnj35/fffHelz586lU6dOtGvXjgEDBjjOFk2dOpXp0/+fvTuPj6q6/z/+\nOgnZIAs7slk2FVnCqqKIRKlaq2ipX0HrV1t3LRX1q1bpotb+1K/ar4pVq7bUfaMuVaytVjQiUgWB\nEBBQCSAiKHsgIevk/P44M5OZMJNMkpnMJHk/H4953GXuvXNOFnL53M/5nD/Qt29fwP0Rvvjiizni\niCMA98TqpptuYuzYsfztb38Le52NGzdy7LHHMnLkSH7zm9802Aef66+/njvuuOOg/bt37+ZHP/oR\nubm5TJgwgcLCwoiuV11dTWlpKV26dAFg/vz5HHPMMYwZM4bvf//7fPfdd2zatIlHH32U+++/n9Gj\nR/Phhx/y3XffMW3aNEaNGsWoUaP8Nzgej4fLLruM4cOHc8opp1BWVlbfx/Pzn/+c+++//6AbEmst\nN954IyNGjGDkyJH+m6z8/HwmTZrEmWeeybBhw9i0aRNDhw7lZz/7GYcffjjnn38+7777LhMnTuSw\nww5jyZIlDX4NevTowZQpU3jqqacOeq+goIAJEyaQm5vLtGnT2LNnT8hrJCUlMX78eD755BPA3WzO\nnDnT/3X55JNPmDhxov+9yZMnM27cOE499VS2bdsGuKeDL7/8MgBvvfUWQ4cOZdy4ccyaNYszzjjD\n/1lr1qwhLy+PQYMG8eCDDwJw8803U1RUxOjRo7nxxhsb7DPAoEGDuO+++/zXKC0t5eKLL+boo49m\nzJgxvP7664D7nt5www2MGDGC3Nxc/5PD22+/naOOOooRI0Zw+eWXY62lqKiISZMm+T/jyy+/ZOzY\nsRG1x2fGjBmccsopPP/888DBv1Phvid5eXlcc801jB49mhEjRvi/9+F+N+o+WRwxYgSbNm1q0tdS\nRCTqEvAe7MQTT9Q9mO7BdA+WoPdgGzZsCLrn0j1Y9CmQ1FQLbgdPnWhxVZnbL+2Tp6Jx+xth5syZ\nPPfccxQXhy/KPnfuXE477bQGr7V48WIGDhzI4MGDycvL4x//+Afg/pi8+OKLFBQU8NZbb7F06VL/\nOT/+8Y9ZunQpK1eu5Mgjj2Tu3LmAS49t6B/lbt26sXz5cs4999yw17nmmmu46qqrWLVqFb17926w\nDz7Tp09n+fLlrF+/Pmj/rbfeypgxYygsLOTOO+/kwgsvrPc6L730EqNHj6Zv377s3r2bqVOnAnD8\n8cfz8ccfs2LFCs4991zuueceBgwYwJVXXul/YjFp0iRmzZrF5MmTWblyJcuXL2f48OGA+6M1c+ZM\nPvvsMzp37swrr7xSbzv69evH8ccfzzPPPBO0/9VXX6WgoICVK1fy7rvvcuONN/r/2C9fvpw5c+bw\nxRdfALB+/Xquv/561q1bx7p163j++edZtGgRf/jDH7jzzjsj+rredNNN/OEPfzjoacuFF17I3Xff\nTWFhISNHjuR3v/td2GtMnDiRxYsXU1paSlJSEnl5eUE3MccddxxVVVVcffXVvPzyyyxbtoyLL76Y\nX//610HXKS8v54orruCf//wny5YtO+ip0Lp163j77bdZsmQJv/vd76iqquJ///d/GTx4MAUFBdx7\n770R9Rlg7NixrFu3DnA36CeddBJLlizh/fff58Ybb6S0tJTHH3+cTZs2UVBQQGFhIeeffz7g0s+X\nLl3K6tWrKSsr480332Tw4MFkZ2dTUFAAwBNPPMFFF10UcXtCtQuCf6fq+54cOHCAgoICHnnkES6+\n+GKg8b8bTf1aioi0KN2DhaR7MN2Dtdd7sEGDBpGTk6N7sBhSse2mKg7z1CHcfmn9Tvvf+t+/f4Q3\npbqOnP5w0T+a9dHZ2dlceOGFPPjgg2RkZBz0/rPPPsunn37KBx980OC1XnjhBc4991wAzj33XJ5+\n+mnOPvtsPvzwQ6ZNm+Z/unbmmWf6z1m9ejW/+c1v2Lt3LyUlJZx66qkHXXfVqlVccMEF7N+/nzvv\nvJMZM2YA+Jf1Xeejjz7y/4G/4IILuOmmmyL6uiQnJ3PjjTdy1113Bd3ALVq0yH+9k046iV27drFv\n3z6ys7NDXmfGjBk89NBDWGuZOXMm9957LzfffDNbtmxhxowZbNu2jcrKSgYOHBjy/Pfee4+nn37a\n36acnBz27NnDwIED/ePUx40bx6ZNmxrs0+zZsznrrLM4/fTTg/pz3nnnkZycTK9evZg8eTJLly4l\nOzubo48+OqhdAwcOZOTIkQAMHz6cKVOmYIxh5MiREX0+uCdDxxxzjP8JDEBxcTF79+5l8uTJAPz0\npz/lnHPOCXuN4447jv/7v/9j0qRJHHXUUQwePJj169ezY8cOSktLGTx4MKtXr2b16tWcfPLJgHvS\nVPcmdt26dQwaNMjfx/POO4/HH3/c//7pp59OWloaaWlp9OzZM2RKf6Sstf71d955hzfeeMP/hKi8\nvJzNmzfz7rvvcuWVV9Khg/vz2bVrVwDef/997rnnHg4cOMDu3bsZPnw4U6dO5cILL+SJJ57gvvvu\n46WXXoroiWR97YLa36mGvifnnXce4DIX9+3bx969e8P+boiIJDTdg+keTPdgugdrxD1YXl4el156\nqe7BYihmGUnGmP7GmPeNMWuMMZ8ZY64Jccz5xphCY8wqY8xiY8yoWLUn6nL6NW6/tH1TboGUOjcY\nKRlufxRce+21zJ07l9LS0qD97777LnfccQdvvPEGaWlp9V7D4/HwyiuvcPvttzNgwACuvvpq/vWv\nf/nHUYfzs5/9jIceeohVq1Zx6623+lOxhw8fzvLlywE3JrugoIDTTjstKH24U6dODV4HXEHLprjg\nggtYuHAhX38d4gaykYwxTJ06lYULFwJw9dVX84tf/IJVq1bx2GOPBbU3EoHfj+Tk5IjG0B922GGM\nHj2aefMiGyYb+PWt+5lJSUn+7aSkpEaN4f/Vr37F3XfffdAf0EhNmDCBpUuX8tFHH3HssccC7mnf\niy++yNFHHw24P87Dhw+noKCAgoICVq1axTvvvNOoz2nK1zicFStWcOSRR/rb9sorr/jbtnnzZv97\ndZWXl/Pzn/+cl19+mVWrVnHZZZf5f1bOOuss/vnPf/Lmm28ybtw4unXr1qx2wcHf83Dq/k7V9zvW\noUMHampq/NuN/VkXEYkr3YPpHqwO3YPpHuzss8/WPVgMxXJoWzVwvbV2GDABmGmMGVbnmI3AZGvt\nSOD3wOO0FjH+gyWtUO50mPqge/qFccupD7r9UdC1a1emT5/uT0UGNzPDFVdcwRtvvEHPnj2Djh86\ndOhB11iwYAG5ubl8/fXXbNq0ia+++oqzzz6b1157jRNOOIG///3vlJWVsX//fubPn+8/b//+/fTu\n3Zuqqiqee652psLZs2dzww03BNUFqG8MerjrTJw4kRdffBEgaH+4fgRKSUnhuuuuC6pfMGnSJP91\n8vPz6d69e9gnYXUtWrSIwYMHA+5pg6/2QOB49aysrKAbvylTpvCnP/0JcDeK9aW/R+LXv/510Fjp\nSZMm8dJLL+HxeNixYwcLFy703wg0xZIlSxpMpx06dCjDhg3z/xzk5OTQpUsXPvzwQwCeeeYZ/1OY\nULKysujfvz9PPPGE/ybm2GOP5YEHHmDChAkAHHHEEezYsYP//Oc/AFRVVfHZZ58FXeeII45gw4YN\n/id5DRXh9H12QzfmdW3atIkbbriBq6++GoBTTz2VP/7xj/6bOF+RypNPPpnHHnvMf7O0e/du/x/8\n7t27U1JS4q8rAJCens6pp57KVVddFZRSPXv2bF577bUG2/XKK6/wzjvv+J9sBWroe+L7Wi1atIic\nnBxycnLC/m4MGDDA/x+S5cuXs3HjRqBpX0sRkRYXh3uwFStW6B5M92CNpnuwg+kerHXeg8UskGSt\n3WatXe5d3w+sBfrWOWaxtdZXKexjoPWk8wT9wQJMclT/YEkrlTsdrlsNt+11yyj/PFx//fVBM4f8\n9re/paSkhHPOOYfRo0f7U6F37twZ8inGCy+8wLRp04L2nX322bzwwguMHTuWGTNmMGrUKE477TSO\nOuoo/zG///3vOeaYY5g4cWLQTcUPf/hDZs2axWmnncawYcM47rjjSE5ODpl2Xd915syZw8MPP8zI\nkSP55ptv/PvD9aOuSy65JOgpyG233cayZcvIzc3l5ptvDlm0MJBvfH5ubi4rVqzgt7/9rf8655xz\nDuPGjaN79+7+46dOncprr73mL/Q4Z84c3n//fUaOHMm4ceOaPYvJ8OHDg+oeTJs2jdzcXEaNGsVJ\nJ53EPffcwyGHHNLk62/evDlken5dv/71r4NuUJ966iluvPFGcnNzKSgo4JZb6g+cT5w4kYqKCvr3\nd/9OHnvssWzYsMF/A5aamsrLL7/MTTfdxKhRoxg9evRBM7FkZGTwyCOP8IMf/IBx48aRlZVFTk5O\nvZ/brVs3Jk6cyIgRI+otTlhUVOSfenb69OnMmjXLf6Px29/+lqqqKv+0yr6fiUsvvZRDDz3U//14\n/vnn6dy5M5dddhkjRozg1FNPDfrdATj//PNJSkrilFNO8e9btWpV2O+hr4joYYcdxrPPPst7771H\njx49Qh5b3/ckPT2dMWPGcOWVV/r/8xPud+Pss8/2p4M/9NBDHH744Y36WoqIxF0L34PdeOONugdD\n92CNpXswR/dgbeAezFob8xcwANgMZNdzzA3AXxq61rhx42y0vf/++827wJI/W3trtrU7vohKe2Kl\n2f1sJaLZzzVr1kTtWrGwb9++kPvnz59v58yZ08KtiT5fP8L1s61pqX7ecMMNduXKlS3yWaE0tp/7\n9++31lpbU1Njr7rqKnvffffFolkxsW/fPnvvvffa3/zmN0H7TznllJh+7uTJk+3SpUtj+hmBmvOz\nG+rfWeBT2wL3J635BfQH3gfWAJ8B14Q45iygECgAPgWOD3jvOu95q4EXgPSGPjPW92Bz3v3Cfu+m\nN21Vtaf2gFuz3auV0z1Y4yXyPVh9/+bpHqx10j1YaK31HszXz7ZTWJeeAAAgAElEQVR+D9bcn9vm\n3IPFvNi2MSYTeAW41lobspqUMeZE4BLg+DDvXw5cDtCrVy/y8/Oj2saSkpJmXTO9LIsJwJf/epRv\n+k2NWruirbn9bC2i2c+cnJyETin0eDwh2zd58mQmT56c0G2PhK8f4frZ1rRUP31PTOL1NW1sPx96\n6CFeeOEFKisryc3N5dZbb201Pw/nnXcemzZt4s033wxq88svvxzTPng8HkpLS1vs69Scn93y8vJ2\n8bcpBnwlBJYbY7KAZcaYf1trAx/HLwDesNZaY0wuMA8YaozpC8wChllry4wx84BzgSdbuA9Bmlal\nRSSxBE6P3pr5+tFa/t62Fok4+1Z9/vznP/PUU09RWVnJmDFjuOKKK+LdpIhNmzaNoqIi3nvvvaD9\nb7/9dpxa1LbENJBkjEnBBZGes9a+GuaYXOAvwGnW2l2hjrHWPo63ftL48eNtXl5eVNuZn59Ps6+5\n/l4Osxs5LBptqzwA5Xshu0/zrxUgKv1sBaLZz7Vr15KVlRWVa8XC/v37E7p90RKNfj7xxBPMmTMn\naN/EiRN5+OGHm3Xdxpo5cyYfffRR0L5rrrmGiy66qFV+P+vrTziN7efs2bOZPXt2k9rnm8kmUFpa\nGp988kmTrtdYL7zwQly+p74x+y2lOT+7vvRvaRxr7TZgm3d9vzHGV0JgTcAxJQGndAICx6l0ADKM\nMVVAR2BrzBstIu1Sa7gHa41aoj/XXXcd1113XZPOjfc9WCR1kGKhvTwcMy57KQYXdqXJnwJ2W2uv\nDXPMocB7wIXW2sWhjqlr/Pjx9tNPP41eQ4lS4OFfs2HpXLhpE6R2bN613vt/UPA8/E/zxvjWpUBS\n461du5ahQ4c2eTaLWGuNgYemUD/blvbST2g/fW1qP621rFu37qDZWIwxy6y146PVvrbOGDMAWAiM\nqJv9bYyZBtwF9AROt9b+x7v/GuAOoAx4x1p7fphrB2aFj/MV5Y2WkpISMjMzAXijqJJXv6xi7ikd\nSU5yf3fz8s8CID/v9ah+bksL7GdbFs1+5uTkMHjw4IS8B/N4PCQnJ8e7GS2ivfRV/Wxb1M+GWWsp\nKio6qED9iSeeGNE9WCwzkiYCFwCrjDEF3n2/Ag4FsNY+CtwCdAMe8f6RqG61N45DpsDHj8DmxTDk\n+8271u4NsG8rWAsJ+MezPUlPT2fXrl1069YtIW9kRERaK2stu3btIj09Pd5NadUaKiFgrX0NeM0Y\ncwJuhtzvG2O64OonDQT2An8zxvy3tfbZEOe3WFb4Ks+X8OUXTJ48mQ7J3vlg8t2itT8I08O8xtu4\ncSOVlZUJeQ/WXh4SQPvpq/rZtqif9fPdg3Xu3LnJWeExCyRZaxfRwHB3a+2lwKWxakOL6uedBnLr\niuYHkkq2AxaqDkBqp2Y3TZquX79+bNmyhR07dsS7KSGVl5e3i/+EqZ9tS3vpJ7Sfvja1n+np6fTr\n13ombE00kZQQ8LHWLjTGDDLGdAdOBDZaa3d4r/MqcBxwUCBJJF4S+R6svfzbDu2nr+pn26J+Nqy5\n92AxL7bdbqRnQ5eBsK2w+dcq9f7BrChRICnOUlJSGDhwYLybEVZ+fn67qC2ifrYt7aWf0H762l76\nmUi8JQTmAmuttfeFOWYIUOQttj0WSAN24WbSnWCM6Ygb2jYFN6ubSMJI5Huw9vRvXnvpq/rZtqif\nsadAUjT1zoVtK5t/HV8gqbIE6NX864mIiEhbE0kJgbOBC70FtcuAGd6pfT8xxrwMLMfN/rYC7/A1\nERERkYYokBRNh+TCmtehvBjSc5p2DU81HNjt1is03aaIiIgcLMISAncDd4d571bg1hg0TURERNq4\npHg3oE3pPdotv13V9Gsc2Il/dt7KknoPFRERERERERFpSQokRVPvXLdsTp2k0oCCghUKJImIiIiI\niIhI4lAgKZoye0LmIc2rk1SyvXZdGUkiIiLSzth4N0BERETqpUBStPXOhW/rZCQVzoP7R8Btnd2y\ncF7484MyklQjSUREREREREQShwJJ0XZILuz4HKrK3HbhPJg/C4q/Bqxbzp8VPpgUGEhSRpKIiIi0\nE6be0uEiIiKSKDRrW7RVloD1wB29IacfVJbWBpV8qspgwe2QO/3g80u2Q3IqeCrduSIiIiIiIiIi\nCUKBpGgqnAfLnvRueLOPwineEnp/6Q7o1BPKdmtom4iIiIiIiIgkFAWSomnB7VBdHtmxOf1C7y/d\nAZk9vBlJGtomIiIiIiIiIolDNZKiKVyWUV0pGTDlltDvlWyHTj0gLRMqFEgSERERERERkcShQFI0\nhcsySkoJOKY/TH0wdH0kqB3alpqpjCQRERERERERSSgKJEXTlFtctlGglAzI6u3Wj7oUrlsdPohk\nrTeQ1B3SspSRJCIiIiIiIiIJRYGkaMqd7rKNOnZ325k93XZ5sdsu21v/+WV7oKbanZeaCZVtqNh2\n4Ty4fwTc1tktC+fFu0UiIiIiIiIi0kgKJEVb7nS4+G23/v3fweApUOENJJU3EEgq3eGWnXq2rRpJ\nhfNg/izvLHbe2ezmz1IwSURERERERKSVUSApFrp8z9VF2vkl7N7g9plkl3FUH38gqTukdmo7NZIW\n3A5VZcH7qsrcfhERERERERFpNRRIioXkFOg6EHZ+AbuL3L5ewxoe2lay3S0ze0JqG6qRFG42u0hn\nuRMREZF2w9p4t0BERETqo0BSrHQ/vDYjySRB71GNH9pWVQo1NbFva6yFm80u3H4RERFpd4wx8W6C\niIiIRECBpFjpNsQFkXZ+4QImmb1cRlJ9j9lKd7igU8eurtg2uGBSazflFugQYja7KbfEpz0iIiIi\nIiIi0iQKJMVK98Ohpgo2fABdB0F6Z7AeqKhnJraS7dCxGyQlu4wkaBvD23Knww/urN3O6e9ms8ud\nHr82iYiIiIiIiEijKZAUK90Pd8uy3S6QlNHZbYcb3lY4DwpfcllJ94+Abz9z+9tKwe3DT3PLoy6F\n61YriCQiIiIiIiLSCimQFCvdh9Sudx0EGV3ceqiZ2wrnwfxZUF3utou/hhVPu/X6MphaE0+ld1kV\n33aIiIiIiIiISJMpkBQrGV2gUw+37hvaBqFnbltwO1SVBe/zBV7aSkaSrz81nvi2Q0RERERERESa\nTIGkWPINb2toaFvxlvDXaAs1kgCqK9yyRhlJIiIiIiIiIq2VAkmx1M07vK3LgPqHtuX0C3+NNpOR\n5AskVce3HSIiIiIiIiLSZAokxdIxV8IZ97up7usb2jblFuiQFryvQ7pbtpkaSd5MJAWSRERERERE\nRFqtmAWSjDH9jTHvG2PWGGM+M8ZcE+IYY4x50Biz3hhTaIwZG6v2xEWvYTD+Yree2gmSOoQe2pY7\nHY663LthIKc//PBet9lWMpJ8Q9s8CiSJiIiIiIiItFYdYnjtauB6a+1yY0wWsMwY829r7ZqAY04D\nDvO+jgH+5F22Pca44W2hhrYBdBvkltd9Bjl9oaYG3ri67dRI8hfbViBJREREREREpLWKWUaStXab\ntXa5d30/sBboW+ews4CnrfMx0NkY0ztWbYq79M6hh7YB7NsKJgkye7ntpCRIzYTK0pZrXyyp2LaI\niIhEwGLj3QQRERGpRywzkvyMMQOAMcAndd7qC3wdsL3Fu29bnfMvBy4H6NWrF/n5+VFtX0lJSdSv\nGcqYqiQ82zZSGOKzjvhiGV1TuvCfDxf59x1LCru++oIvotS2lupnKD22FzAc2LNrJytj3IZ49rOl\ntZe+qp9tS3vpJ7SfvraXfoqIiIhICwSSjDGZwCvAtdbafU25hrX2ceBxgPHjx9u8vLzoNRDIz88n\n2tcM6ZvvQcl3oT9r8wOQPDD4vVXd6NM1iz5RaluL9TOUld/CGuiSnRnzNsS1ny2svfRV/Wxb2ks/\nof30tb30U0RERERiPGubMSYFF0R6zlr7aohDvgH6B2z38+5rmxoa2pZdZ1RfaqfgYtuF8+D+EXBb\nZ7csnBe7tkabf2ibaiSJiIg0V4STmpzlncykwBjzqTHm+ID3OhtjXjbGrDPGrDXGHNuyPRAREZHW\nKpazthlgLrDWWntfmMPeAC70zt42ASi21m4Lc2zrl9E59Kxt4A0k1SkhlZpVW2y7cB7MnwXFXwPW\nLefPaj3BJH+xbdVIEhERiQLfpCbDgAnATGPMsDrHLABGWWtHAxcDfwl4bw7wL2vtUGAUrpaliIiI\nSINiObRtInABsMoYU+Dd9yvgUABr7aPAW8APgfXAAeCiGLYn/jK6QHkx1HggKbl2f/k+qNwP2X2C\nj0/LhH3eBK0Ft0NVWfD7VWVuf+702LY7GjRrm4iISNR4H7xt867vN8b4JjVZE3BM4NSvncBVsTbG\n5AAnAD/zHlcJVLZIw0VERKTVi1kgyVq7CDANHGOBmbFqQ8JJ7+yW5cXQsWvt/v3eJKyDMpIyazOS\nireEvma4/YnGN7TNo0CSiIhINNUzqQnGmGnAXUBP4HTv7oHADuAJY8woYBlwjbX2oKliW3LCk40b\nXCxr4cKFpCS5W8g873GtvZh7eylIr362Pe2lr+pn26J+xl6LzNomXhm+QNLe4ECSL+soq06NpLTM\n2hpJOf28w9rqyOkX/XbGgjKSREREoq6hSU2sta8BrxljTgB+D3wfd/83FrjaWvuJMWYOcDPw2xDn\nt9iEJ5/Z9fDl55xwwgmkdfBmbue7RWsv5t5eCtKrn21Pe+mr+tm2qJ+xF9Ni21JHRhe3LNsTvH/f\nVresO7QtMCNpyi2QkhH8fkqG298a+Ittq0aSiIhINEQwqYmftXYhMMgY0x3YAmyx1voymF7GBZZE\nREREGqSMpJbkG9q25g2Y91M3LC2nH/Tx3rsdlJGUBdVlbjiYrw7S6zNddk9mLzjl/7WO+kgQkJHk\niW87RERE2oBIJjUxxgwBiqy11hgzFkgDdnm3vzbGHGGt/RyYQkBtJREREZH6KJDUknxD2z5+pDaw\nUvy1y0hKyYSU9ODjUzPdsqoUknNc0GjhvbDzC/ivv8KA492sbQturw1KTbklMYNLvv56lJEkIiIS\nBZFManI2bnbcKqAMmOGtTwlwNfCcMSYV2EBbn/BEREREokaBpJbkG9rmqTMxivWAp+Lg41M7uWVF\nCaTnuPVyb/mD8mIXRJo/q3Y2t+Kv3TYkXjDJP7RNNZJERESaK8JJTe4G7g7zXgEwPgZNExERkTZO\nNZJakm9oWyihagd9t9ot7x8O949wgaOK/W5f2V6XieQLIvlUlbn9icY/tE0ZSSIiIhKeP2dKRERE\nEpIyklpS3aFrgXzZRz6F82D5094NW5tt5Ascle91w9lCCbc/nlQjSUREROph6s2vEhERkUShjKSW\nlhYmK2nIycHbC24/eAhcYPZRebGriRRKuP3x5BvaphpJIiIiIiIiIq2WAkkt7cePwYm/hpz+gIHk\nVLf/8FODj2soq6hsryus3aFOllNKhtufaPwZSaqRJCIiIiIiItJaaWhbSzviB+41+Zdu+5vl8Nw5\n0HtU8HE5/dxwtnDK97qC2rs3Qv6d3nP6J+6sbb6MJOtxxQ+Uvy4iIiIiIiLS6igjKd76joUb10Ov\n4cH7p9wCHTKC9yWn1a6X7XXLPqPdst9RcN3qxAwiQfCQNmUliYiIAGCMSTbG/Dve7RARERGJlAJJ\niSBUdk7udDjzwdrtnP5w9OVuPTXT1UgCOLDLLSsPxLaNzeWpqF1XIElERAQAa60HSDbGZMe7LSIi\nIiKR0NC2RJY7Hf59Kww+CX70MKx62e3P6e+GtgGU7nTLqgQPJFUHFA73VLlaTiIiIgJQDKw0xrwD\nlPp2Wmv/J35NEhEREQlNgaREl9EFyva49Yp9btm5P2wrdOsHWkkgSRlJIiIi4bzpfYmIiIgkPAWS\nEl3HrlC2262XewNJOf1h44duvdQ7tK2qrOXb1hiegIwkBZJERET8rLVzjTEdgCHeXeuttfpjKSIi\nIglJNZISXUbngIyk/WCSIbs3VJe5mdB8GUmVpW42tERVrUCSiIhIKMaYScB6YC7wV+ALY8zE+LZK\nREREJDRlJCW6jK5wwJuRVLEP0rLccDdwM7f5aiRZj6s91CE1Pu1siKfCzUJXXRY8g5uIiIjcD/zQ\nWrsGwBhzJPAMMD6urRIREREJQRlJic5XI8lal5GUlg3pnd175cW1GUkAVaWhr5EIqishtaNbV0aS\niIhIoFRfEAnAWrsWSNAnQyIiItLeKZCU6Dp2hZoqqCzxBpKyAgJJe12NpBRvgCaR6yR5KiGlk1tX\nIElERCTQcmPMo8aY472vPwEr4t2olmYw8W6CiIiIRECBpETnH8a2x2UgpWe7ukkAJd9B5X5XfBug\nMkFnbrPWDW1TRpKIiEgoVwIbgF96XxuAK+LaIhEREZEwVCMp0WV0dcuyPS4jKbMnpOe4fbuK3LJz\nf9j5OVQlaCDJVxMptVPwtoiISDtnjEkGHrfWXgjcE+/2iIiIiDREGUmJzpeRdGC3t9h2QI2k3b5A\n0qFumbCBpAq39A3Bq/HEry0iIiIJxFrrAQYZY1Li3RYRERGRSCgjKdEFDm3z10iqm5HkDSRVJmix\n7boZSTXKSBIREQlQBHxojHkd8P8xt9Y+GL8miYiIiIRWbyDJm269wlqb20Ltkbo6+oa27a4NJHVI\nddk9u9a793w1khK12HZ13Ywk1UgSEREJsNn76uh9iYiIiCSsegNJ1lqPMWazMaa3tXZbSzVKAvgy\nkkq2Q3W5K7YNbnjb/q1uvfP33DLRh7apRpKIiEgQ70O7FGvtzfFui4iIiEgkIhnalgGsNcZ8RHC6\n9fSYtUpqdUiDlE6w5yu3neYNJGV4A0kmGbJ7u32JGkiqrnRL/9A21UgSEREB/0O7vHi3Q0RERCRS\nkQSSmjSDiDHmr8AZwHZr7YgQ7+cAzwKHetvxB2vtE035rDYvowvsrRNI8tVJ6ti1NkBTmaCBJI83\nkOQf2qaMJBERkQDLjTGvAn8j+KHdG/FrkoiIiEhoDQaSrLVvG2O6AmO9u5ZZa/dEcO0ngYeAp8O8\nPxNYY62daozpAXxujHnOWlsZwbXbl45dAjKSstzSN3Nbx+4uYwkSNyPJP7RNNZJERERCyMIFkH4Y\nsM8CCiSJiIhIwmkwkGSM+RHwR2AxYIBjjDFXN/SUzFq70BgzoL5DgCxjjAEygd2AIgyhZHSBb1e7\n9fSAoW0AnbpDcoob4paogST/0LZMt1QgSURExM9ae0G825BIrI13C0RERKQ+SREccxtwtLV2hrcu\n0gTg9ih89kPAkcBWYBVwjbW2JgrXbXsyuuLibgRkJPmGtnUDY9zwtkSdtc1TZ9Y2jwJJIiIixpgX\nAtbvrPPeP1u+RSIiIiINi6RGUnKdGdu+BZKj8NmnAgXAScBg4N/GmA+ttfvqHmiMuRy4HKBXr17k\n5+dH4eNrlZSURP2a0XT4njL6eNc/KVhL2RfFDPh2LwOAb/ZW8GV+PsfaZHZ9tZ4v6ulHvPrZddcy\ncoE1679iGLB2zSq+290jZp+X6N/PaGovfVU/25b20k9oP31tL/2MgaEB6z8AfhWwfUgLtyXujIl3\nC0RERCQSkQSSFhhj3gCe926fByyIwmdfBPyvtdYC640xG3E3VEvqHmitfRx4HGD8+PE2Ly8vCh9f\nKz8/n2hfM6o8C2Hb2wAcc8LJkNkD0tfCVy/S97BR9M3Lg5Wd6dO9M33q6Ufc+rm2BFbBsFHjYS0c\nefgQjhwbu3Yk/PczitpLX9XPtqW99BPaT1/bSz9joL5BXBrgJSIiIgkpkkDSdbjg0Qne7Re9r+ba\nDEwBPjTG9AKOADZE4bptT0aX2vW6Q9s6dXfLlI6JWyNJxbZFRERC6WiMGYkrNZDhXTfeV0ZcWyYi\nIiISRr2BJGNMMvAPa+0PqM1Iioh33H8e0N0YswW4FUgBsNY+CvweeNIYswp3w3STtXZno3vQHmR0\ndcvkVEhJd+v+Wdu6uWVqAgeS6hbbVo0kERERgB3AI971nQHrvu2wjDH9cTPj9sJlLz1urZ1T55iz\ncPdbNbgJTa611i4KeD8Z+BT4xlp7RvO6IiIiIu1FvYEka63HGJNmjMmy1u5vzIWttec18P5W4JTG\nXLPd8mUk+bKRALoOApME3Q9z2ykZUJmggSSPN5CUoowkERERH2vtpGacXg1cb61dbozJApYZY/5t\nrV0TcMwC4A1rrTXG5ALzCK7LdA2wFshuRjtERESknYlkaNtuoMAY8y+g1LfTWvvLmLVKgoUKJPUc\nCjdtqh3iltIJyva2eNMi4gsk+Ye2VcWvLSIiIm2AdyKUbd71/caYtUBfYE3AMSUBp3QioO6SMaYf\ncDpwB/A/LdFmERERaRsiCSS9431JvHT0Dm1Lq/PA0BdEApeRlLBD27w1klI6uaUykkRERKLGGDMA\nGAN8EuK9acBdQE9c4MjnAeCXQFbdc0RERETqE0mNpAnW2otaqD0Sij8jqZ7M89SOUFXWMu1pLH+x\nbW8gSTWSREREosIYkwm8gqt/tK/u+9ba14DXjDEn4Oolfd8Ycwaw3Vq7zBiT18D1LwcuB+jVqxf5\n+flRbX9JSYn/mhs2uAzmhR8uJC3ZAK7YJhD1z21pgf1sy9TPtqe99FX9bFvUz9iLpEbS4caYDtZa\n/e8/XnyBpPR6AkkpHaGyNPz78eTxDmXrkA4YZSSJiIgA3rpFYVlrCxs4PwUXRHrOWvtqA9daaIwZ\nZIzpDkwEzjTG/BBIB7KNMc9aa/87xHmPA48DjB8/3ubl5dX3MY2Wn5+P75rrTBF8sY4TJp1ARmqy\n9wC3iPbntrTAfrZl6mfb0176qn62Lepn7EUytO0L4ANjzN8JrpH0SPhTJKqSUyA1K7hGUl0pCZyR\nVF0BSR0gKcktVSNJREQE4OF63rPACeHeNMYYYC6w1lp7X5hjhgBF3mLbY4E0YJe1djYw23tMHnBD\nqCCSiIiISCiRBJK+9b66el8SD2MvgH5HhX8/paMbQlbjgaTklmtXJDyVkJzm1pNTlJEkIiJCs2dt\nmwhcAKwyxhR49/0KONR77UeBs4ELjTFVQBkww1prQ10skVgSvokiIiLtWoOBJO9TK4m3H9xV//u+\nGdGqDtSfuRQP1RXQIdWtJ3VQjSQREZE6jDFDgWG4oWYAWGufD3e8tXYRYOq7prX2buDuBo7Jxz+A\nLL7q7YyIiIgkjKRwbxhjFgSsz63z3vJYNkqaICXDLSsTcOa2wIykpA7KSBIREQlgjPkNrg7Ro8Bp\nuBnV/iuujRIREREJI2wgieBhbGPqvKeHRokmxTsjWlWiBpICMpJUI0lERCTQDOBEYJu19gJgFNAp\nvk0SERERCa2+QFJ9A9Q1eD3R+DKSEjGQFDi0TTWSRERE6iqz1nqAamNMFq425ffi3CYRERGRkOqr\nkZRjjDkNF2zK9k4RCy4bqZ556CUuUn0ZSQk4c1vQ0LZk1UgSEREJtsIY0xn4K/ApsA9YEt8miYiI\niIRWXyBpCXChd30pbmYQArYlkfhrJJXGtx2heCoDim0rI0lERCSQtfYK7+rDxpi3gWxrrepRioiI\nSEIKG0iy1p7Xkg2RZkrxzdqWgBlJ1RWqkSQiIhKGMeYda+0pANba9XX3iYiIiCSS+jKSpDXxB5IS\nNCMpObBGkie+7REREUkAxphUIB3o5a2N5JvMJBs4NG4NExEREamHAkltRWqCZyR19NZwSkrW0DYR\nERFnJvA/QE9gTcD+fcCjcWmRiIiISAMUSGorfBlJlQk4a5unKqDYdorbFhERaeestfcD9xtjrrXW\nPhDv9oiIiIhEImwgKWCWtpCstW9FvznSZP6hbXUCSa9eAYNPglEzWr5NPp4KN6QNvDWSlJEkIiIS\n4GFjzM+BE7zb+cBfrLX6gykiIiIJp76MpAvqec8CCiQlkg7pbhkYSKoqg8IXYf/W+AaSqiuggzcj\nKVmztomIiNTxENAJ+Kt3+7+BscDlcWtRHFkb7xaIiIhIfTRrW1uRlOSykgIDSbs3uuWWZeCJY/Am\nsNh2UjJUVcavLSIiIolngrV2VMD2O8aYlXFrTZwYE2Ln0ZdDamaLt0VERETCi6hGkjFmCjAcN7MI\nANbae2LVKGmilIzgGkm71rtlVSl8tzo+bQIXSOoQWCNpX/zaIiIiknhqjDEDrLWbAIwxA4CaeDYo\nYfzw3ni3QEREROpoMJBkjPkj0AuYCDwNTAM+jnG7pClSOgXP2uYLJAF8vQQ4vMWbBEB1ZUCxbdVI\nEhERqeMm4ENjzOeAAYYAl8S3SSIiIiKhRZKRNNlam2uMKbTWzjbG3AXMj3XDpAlSMlz2kc+uIsjs\nBSYZvv4EuscpkBRYbDtZgSQREREAY8wEa+3H1tp3jDGHA0d631prrS2r71wRERGReEmK4BjfjUy5\nMaYncADoE7smSZOldjw4I6nbYXDoMS6QFA/W1hnapkCSiIiI1yO+FWttmbV2ufelIJKIiIgkrEgC\nSe8YYzoD9wEFwAbgtZi2SpompePBNZK6DYL+x0Dx16SV72z5Nnmq3NJfbDuldp+IiIiIiIiItCqR\nDG27xVprgReNMW8CHYEdsW2WNElKRziwy62X7YUDO6HbEKhwxa0nfHwJrL0NptwCudNbpk2eCrcM\nykjytMxni4iIJLZBxpg3wr1prT2zJRsjIiIiEolIAknLgLEA1toSoMQYs9y3TxJISgZUeTOSdhe5\n5f5vYdkTgKveSfHXMH+We68lgknVlW7py0hK7gA1ykgSERHBPZj7v3g3QkRERKQxwgaSjDHdcbO1\npRtjjsQbhwCycVlJkmhSO9UGknZ5A0mrXw2umwRue8HtLRNI8mUk+Ye2qUaSiIiI135r7QfxboSI\niIhIY9SXkXQWcClwKPDXgP37gdsaurAx5q/AGcB2a+2IMMfkAQ8AKcBOa+3kiFotoaVlQ+kuVydp\n13owSVDyXehji7e0TJs83oykwKFtqpEkIiICsCneDRAREfo+/VgAACAASURBVBFprLCBJGvtXGCu\nMeYn1trnm3DtJ4GHgKdDvekt4P0I8ANr7WbvjHDSHCN+DEseg4LnXCAppz/YGjecra6MLnD/CBdQ\nyukXu7pJdYe2JaWoRpKIiAhgrf1xvNuQiGy8GyAiIiL1imTWtvnGmDuNMYu8rzuMMZkNnWStXQjs\nrueQnwCvWms3e4/fHlmTJaxDJ0C/o2HxH2HHF67Q9pRbXO2kQEkpUFniDTDZ2rpJhfOi36aDhrYl\nq0aSiIiIiIiISCsVSbHtv+BSry/3bl+AG+rW3PSVw4EUY0w+kAXMsdaGy1663Pf5vXr1Ij8/v5kf\nHaykpCTq14yXwbYX/fcuAaB6ZwZfpI6CIVcxaMPTpFXsxJPckRqTTGr1/uATq8oo/8ev+Hh3dBPD\nsvZ9wTigcO0X7N6ez8AtW+nvqWJhna935z0rKe00gKrUnGZ/Zlv6fjakvfRV/Wxb2ks/of30tb30\nU2LL+MtxioiISCKLJJB0hLV2RsD2bGNMQZQ+exwwBcgA/mOM+dha+0XdA621jwOPA4wfP97m5eVF\n4eNr5efnE+1rxkXhPNj+rn+zg6eMYev/BFMfhBlFlN4znE6HjoZ1/wh5enrFzsZ/HQrnucLd4YbI\nfZUGyyF39DgYnAd2MWz2kDd5MhjvDaOnCu44G074JeTd1LjPD6HNfD8j0F76qn62Le2ln9B++tpe\n+tkSjDG3WWtvi3c7RERERMKJZGhbhTHmKN+GMWY8UBGFz94CvG2tLbXW7gQWAqOicN32a8Ht4Wdo\nA0o7fQ+++8wFfEIJtz+cwnluSFx9Q+R8Q9v8xbZT3DKwTlL5PjeTW9mexn2+iIhI23NmvBsgIiIi\nUp9IAkkzgWeMMeuMMZ/jimdfFYXPfh043hjTwRjTETgGWBuF67Zf4WZi8+4v7XQo7NkEk28Ckxx8\nTEqGyyZqjAYCV0CIYtvez62prj2motgtK+sMtxMREWl/NL5LREREElrYoW3GmLOsta9baz8Fhvpm\nVYu0KLYx5gUgD+hujNkC3AqkeK/xqLV2rTHmX0AhUAP8xVq7ulm9ae9y+oWeoc2baVTa6XuAhV7D\noGN3KP3O+37/ps3a1kDgCoDta9wytZNbJvsykqqAdLde7g0kVSiQJCIi7d64eDdAREREpD711Ui6\nFZc1BDR+VjVr7XkRHHMvcG9jriv1mHKLG1oWmCUUkGnkAknAhnwXRErvDOV74erl0CG18Z+XdQjs\n33bw/owucP8Ib0DJQq8R0P0I916S90cuMCOpfJ9bVpQ0vg0iIiJtiLW2Jt5tEBEREalPJEPbpLXI\nne4Ka+f0B4xbTn3Qn2lUltELOmTAp0+644+c6pYl3zXt8zoPOHhfUgpUltTWTQLYVQSrX/a+7w0k\neQIDSb6hbQokiYiIRMIY098Y874xZo0x5jNjzDUhjjnLGFNojCkwxnxqjDk+0nNFREREwqkvI2mo\nMWZ5iP0GsNbasTFqkzRH7vTwQ9RMMvQ4ArYVQEpHOPxUWPGMCyR17t/4z6qphB5H1gaOUjtBchqU\n7Q4+rtpbNyl3euiMpAplJImIiDRSNXC9tXa5MSYLWGaM+be1dk3AMQuAN6y11hiTC8wDhkZ4roiI\niEhI9QWSNgLntFRDpIX0Gu4CSf2Prp2lbf+3TbvW7o0w7CyY+gA8dgJk9oIv/x36WF/dpKAaSV6+\noW0qti0i0nyPTYZxP4XxF8e7JRIhY0wacDYwgIB7M2vt7eHOsdZuA7Z51/cbY9YCfYE1AccEPqHp\nhDdVOJJzRURERMKpL5BUaa0tarGWSMvoeaRbfm8iZB7i1kuaEEgq2+syj7oOdNvZfWHv5gYLfoeu\nkeQrtq2MJBGRZrEWvi2EHZ/HuyXSOK8DxcAyoKKxJxtjBgBjgE9CvDcNuAvoCZzemHO9718OXA7Q\nq1cv8vPzG9u8epWUlPivuX6je8j04YcfktGhbU1eF9jPtkz9bHvaS1/Vz7ZF/Yy9+gJJH7dYK6Tl\n9DvKLQefBJ16AAZKGlVH3dmz0S27DnLL7D7w1WL44b3wxiw3nM0noOB3yBpJvqFtqpEkItI8niqw\nNeCpjHdLpHH6WWt/0JQTjTGZwCvAtdbafXXft9a+BrxmjDkB+D3w/UjP9Z7/OPA4wPjx421eXl5T\nmhlWfn4+vmt+mbQBPl/L8ccfT1Z6SlQ/J94C+9mWqZ9tT3vpq/rZtqifsRe22La19qqWbIi0kEMn\nwHVroN94SO4Anbo3bWjbbm8gqYsvI6mPmwFu6Okw+Ze1x9Up+F3vrG2eSqiu8yC2cJ6bAe62zm5Z\nOK/xbRURaS+qDrhltQJJrcxiY8zIxp5kjEnBBYKes9a+Wt+x1tqFwCBjTPfGnisiIiISqL6MJGmr\ncvrWrmce0rRZ23wZSV0GuGW2d+javm3Q/XC3ftn70LdOTfaQNZL21q5XlECHNLdeOA/mz4Iqb3ZT\n8dduG8IXFBcRac98/156Gj06SuLreOBnxpiNuKFtvolNcsOdYIwxwFxgrbX2vjDHDAGKvMW2xwJp\nwK5Izo0HE8XRbNv3l5OanETnjqnRu6iIiIgACiRJVq+mZyR16glpmW47u49b7tsCeza5dV+QKVB9\ns7aBK7jdqZtbX3B77X+KfKoCZoATEZFgvmHFdbM7JdGd1oRzJgIXAKuMMQXefb8CDgWw1j6KK+B9\noTGmCigDZniDSseHOtda+1ZzOpFIrnxmGYfkpPPI+ePi3RQREZE2p1GBJGPMI9ban8eqMRIHmYfA\nd581/rzdG2sLbUNAIGmrCySl50DHrgefF6pGkq/YNgQX3PbN9FZXuP0iIu2dPyNJQ9taE2vtV8aY\nUcAk764PrbUrGzhnES5zqb5j7gbubsq5rV3RjlJKKqobPlBEREQaLWyNpDAmxKQVEj9ZvVyx7RpP\n487bs7G2PhK4WdsA9n3jfW9A6PPC1Ujq6M1CCiy47QtO1eWbAU5ERIIpkNQqGWOuAZ7DzazWE3jW\nGHN1fFvVeh2orKa4rIpv9pRhrY13c0RERNqcxgaSdsWkFRI/mYeA9cCBRnxrq8pd5pFvxjaAlHQX\nDCr+xmUkhQskhaqRVLGvNhAVmJHUZ8zB5wfOACciIsF8gSQV225tLgGOsdbeYq29Bffg7rI4t6nV\n2rq3HIDSSg/7ypSVJCIiEm2NCiRZa0+OVUMkTrJ6uWVj6iTt/QqwwUPbwGUQFX8NezdHnpFkrRva\n5g8keeslleyAovehz1hIy3L7cvoFzwAnIiLBVGy7tTJAYGqwhzY+9CyWthXX1lfcsvdAHFsiIiLS\nNjU2I0namsxD3LIxM7ft9s3YVjeQ1A++WeaGVNR9z6dujaSqMhdU8g1j8w1tK1oAVaVwxv1w6l1u\n30/nK4gkIlKfKu9/mlVsu7V5AvjEGHObMeY24GPcrGoSwqMfFLG4aGfQvsVFO3n0gyIAtu6tDSR9\ns6fOpB0iIiLSbAoktXeZPd2yMRlJuze4ZaiMpLI9bj3SjCRfoe2cOkPbSnfUfoZvCJ0vgNVcNTXw\n95nwzfLoXE9EJFFUuyE9qpHUulhr7wMuAnZ7XxdZax+Ib6sSV26/HH7x/Ap/MGlx0U5+8fwKcvvl\nALVD2wC+2dv8QFKowNXsVwuZ/Wph0L7AYJaIiEhbpkBSe5fly0iKMJBUOA/ev8OtP57ntn0Ci2NH\nWiPJN5TNN7TNl5FUuhOSUiAtOyCQtCGyNjakdDsUPAvLnozO9UREEoUykloVY0y2d9kV2AQ86319\n5d0nIRw3uDsP/WQMVz6zjNmvFvKL51fw0E/GcNzg7oAb2tYzK430lKRGZySFCholJ8ElT37K4qKd\nWGv56MudzF+5lfkrt/H6im+orK45KJglIiLSlnVo6ABjTHfgYmBA4PHW2stj1yxpMSkZkJYDGz+C\nZU9B8RZXi2jKLQcPIyucB/Nn1dbgKP7abYM71jebmkmGnP6hP8+fkeQtBVHuDSR17AYd0qFiv9su\n3QmduoMxLtjVISN6GUm+bKdNi6JzPRGRROGvkVRV/3GSKJ4HzgCWAYHTixnv9qBQJwn0yEyjtKKa\nF5Z8zdUnDvEHkcBlJPXpnEFmeYdGZyT5sp0e+skYRvTN4YVPNvPAu1/Sp3M65//5E+rOAXfNSwVc\nN68Ag+HKyYOC2iEiItJWNRhIAl7HjdVfRHAhSGkrUjJg00I3exscHCDyWXB77X9SfKrK3P7c6bUZ\nSZ37Q3KYH61wQ9vSsiE1szYj6cBO6Oi9GTPGZSVFLSPJ+6RxdxHs2wbZvaNzXRGReFOx7VbFWnuG\ndxmmsGD7VDdYU1dFtYdLn/oUj/fAJ/+ziWOHdPMHcbYWlzH0kCyyIggkPfpBEbn9cvznHje4OxdM\nOJQL5i7BU1PbkuQkw5G9s1izbT/HDOzKCYf3IDu9A/mf72DBuu1065TCnxdt5Mfj+jG4R2ZTuy4i\nItIqRDK0rZO19npr7fPW2pd8r5i3TFpO2Z7aIJKPL0AUqHhL6PN9+33D08INa4OAYtu+oW3eQFJ6\nDqRl1slI6lZ7XteB0QskHdhVu/7VR9G5ZmtROA/uHwG3dXbLwKGJItL6+QJJ1aqR1JoYYxZEsk+c\n6+et5KvdB7hmymF06ZjCsN5Z/ppJ1lq27S2nT04G/bpkNDi0LbDeUnmVh1+9WsicBeup8QaRfjS6\nL4W3ncJtZw7n230VzDppCF9uL2HMoZ0Z3DOTFV/vZdZJQyitqMZYy82vFPrPVc0kERFpqyLJSPqn\nMeYUa+07MW+NxEe4J9d1A0c5/Vy2Ul2+IW2+jKRwM7ZBQI0kX0aSd2hbejakZtUW2z6wMzgg1XUQ\nfPlvVyg7qZmlvXxD25JT3fC2kf/VvOu1Fg0NTRSR1s9fbFsZSa2BMSYd6Ah0N8Z0wQ1pA8gG+sat\nYQls1ZZi3izcxklDe3LdyYdTWlHNk4s38eB5oyncUsyRh2RTVuWhd+cMDlRUs6u0kvIqD+kpySGv\nd9zg7vzx3DFc9tSnAJRWehjSoxM7Sir56bHf49lPNvPS0s38KX+Dvw7ThMHduOKZZQA8dsE4jhvc\nnayMDtzxj3Us3bSHZz7+isN6ZfqHyImIiLQ1kQSSrgRuMsYcACrxjtu31qoIZFuReUjoYtu+AJHP\nlFvg71fVBoHADYubckvt+gm/hMNODv9Z4Ya2pedAWlZAse1drkaST9eB7j9G+7ce3K7CeS57ylvf\nqWefc4C88G0o3enqOA2c3L7qJDU0NFFEWr/AYtvWuqHBksiuAK4F+uDqJPm+YfuAh+LVqERlreWO\nt9bQtVMqD5w7GoDzjjmUvyzayMadB5h54hA+2+ruK/rkpFNW5bKtv9lbFna42Xf7yvnTB0WUVrpj\nJw3pzmfb9vGn/x7rDxpd8uSn/M8phwUNfzsjt7d/HeCySYPBwl3/XMf/e3MNmekdePj8saqZJCIi\nbVIkqR3dgRQgB+jh3e4Ry0ZJCzvl9y4IFCgwQOSTO90FnZLTAOMKak99MDgIcdKvof/R4T8ryftE\n0BdIqtjngjopHWuHtlVXQOX+2hpJEH7mNl+WTfHXgIXirzni84frH7J1YCd07OqCV7u+bD/DvBoa\nmijth4Y4tl3+YLGtndRAEpa1do63PtIN1tpB1tqB3tcoa60CSQTPovbeuu18vGE3Z47qw/OfbAZg\ncI9MJgzqyotLN1NT44a1AfTunEHfzu7eJtzwts+2FnPqAwtZsnE3HVOTufqkIXz61R6uyhsUFDSa\n+7PxeGqCz73rx7nc9ePcoH2XnTCYaWP7UlVjOWpAVwWRRESkzQqbkWSMOcxa+yUwPMwhhbFpkrQ4\nXyBowe0uIJOU4gJE4P6T6ZvJbeJ1sG+LCzBNur5pn5XkHdrmq5FUXuyGtRnjLba9obYYdlCNpIBA\n0sATaveHyLJJrqmoP8umdKdrx7r53h22fQzzamhoorQPGuLYtgX+e+ipCD/xgSQUa+0fjTEjgGFA\nesD+p+PXqsTgq2E059zR3PXPdRySnc7rBd/w8Plj/cece9ShXPtSAcs272Fbsfsd6NM5ncpqF/0J\nV3D77c++Y++BKnIyUvwZSMcO7sYvnl/B8D7BBbgjCQotLtrJ+2t3kJXegfc/387iop0KJomISJtU\nX0bSzd7lwyFeekrW1uROh+tWwzFXuTpG1h6U6cPb3h+JgXlN/5yDhrbtc5lB4M1IKnEZQxCckZTd\n19U0qpuR1JQsm9KdruB2dZ0aIqEKjLclU26pDeT5hMo8k7atviGO0voFfm/r/hsnCcsYcyvwR+/r\nROAe4My4NipBvL9uOwbLhXOXsH57CSUV1QcNGTt5WC/SU5KYv3Ir3+wtJyXZ0L1TGodkp5OcZMJm\nJFVW15Bk8AeRwAWNHvrJGAq3FDeqnYuLdrqaSOeP4afHDqDaY/n5c8v92VQ+gRlWvu0/f1gUVJR7\n9quFzH41+Hlt3X2hzlNxbxERaSlhH1Vaay/xLie1XHMk7noc7mpsvHvrwf/Z9HhLZPUZ3fTr1y22\nXbEP0rLdemqWG9rmz0gKCCQlJbvi23UDSU3JsjmwM/IC421J7nRY/jRs+tBt5/R3QSRlobQvGuLY\ntvlqJIH332xpJf4LGAWssNZeZIzpBTwb5zbF3fZ95fz1o02M6pdD386Wwm+KuWjigIOyfDqldWDK\n0F68tWobEwZ145CcdJKSDEkYDslOD5uRVFldQ0ZK8kHXizQDKVDhlmJ/Me6eWek89P56BnbrxPyV\nW4OulZwElzz5KXN/Np7jBncnOQnu/Mc6fnX6UMAFg94s3AbA1FF9OG5w95D7Qp3nq+Xk8+gHRSQn\ngacGrpw8GMAfjAoclld3X3PO27SxknWmqMU+L17nDQ1zTKK1MxrnbdtaTl4ejT4vWu1cXLSTwi3F\n/mOk6R79oAi7yxNUSVZfX2mqiHLejTFDOTjd+vlYNUriqPsRbrk/RPFtAGxtnaOmMN4kuMBi24EZ\nSVWlULLdbXeqU4qr6yDYVSeQNOWW4GE6QI1JJqm+LJvSHd5hdCUHv9dAIe9WH3jp4P0VTs2Ea1ep\nEG97pCGObZtv1jZQRlLrUmatrTHGVBtjsoHtQP94Nyre/rZsC54ay/nHHModb61j1klDePaTzRw7\nuNtBgZ6po3rzj1XbWLB2OyP75fDoB0Xk9suhb+cMf0ZS3f8wVXo8pHZo5kywXoH/CRvSM5Pcfjns\nKavk7c++Y+qonVhreatwK39csJ5pY/pw+dPLOHZQNz4q2snJw3px/7+/ZNGXu1i6aTfnHtUfYwyX\nPfUpEwZ14+MNu/jvCd8jKclw2dOfMmlIDxat38nZY/sx5931FG4pJn/dDqaN6cODC9ZjMOT268y2\n4jKeXvwVF00cwOpviln9TTFvFGwF4KgBXRn/va4UfL2HNwq2Yoxh8uE9OGZgN6o8Ndz9zy/45alH\nUFHtYcnG3REHt176vIpfDcH/9W5qUCzhz/O0knZG4bzqao9/mGZLt3P2q4W8WbiNxy4Y5//9ak1B\nuEQ7L7dfDpf8u5zNppC7fpwbMgCdCO1UsDfya6/d5WHdB0VxCQQ2GEgyxvwGOAX3/XgbOBVYBCiQ\n1Bb18AaS0v8/e+8dX0d1p/+/j6Sr3rsl23KRsS0buYLBNGPDLiH0HkoSkgAJyZL2/W3J7gIh2c2S\nDSQhISGEAFlIcxIglYQqmsHdyL03WbbVe9c9vz8+M5q5VVeyus/79dJr7pw7c+bMvXN1NY+ez3PS\noKMh8Pn49FPrXykpr+rLSGqSGdlAZm0DaJAATRKzfPfNKoYDZeD1QpT1h58t6rx4D2gveJJQ3a0w\n+azgx+/tFvFq7lWw71Vf15V/mddEzJJpOibLrhZoq/PNoTKcHgQRX02J4wTCJyPJOJLGERuUUunA\nT5HZ21qA90d3SKOL16v5zfqjzMlP4b/+uqvP7XOOlWFkr9vsq2oh3hNFe3cvhekJlE5O457nNpKV\nFEt3r3ZKz25d1LdPV493yIQkf65ZWMhDf95BcW4Sd/xsHUprevRmAH65TsT8V3eeBOCVHbJ8a081\nAE+/d6ivn9d3yT/XfvK284+0v22Xf/b9bpM4Sf/04XGffr/5l50+Y3n6vUM+fQJ8ZfWHAWP+7POb\nfNYf/vtuHv77bp+2W3+6ligFXg3xMVEoBbf9dC3xnig6erzERcO3/rqLH7y+j5bOHvJS44lScMdT\n68hI8lDf1s20rESiFHz8Z+vIS43jZFMnRVmJfPtvu3n+gyNUNrSzYHI6SsEnnl5HUVYSR2rbWFyU\njlKKTz69nunZiRysbWN+QSr/+/c9vLDpGPurW1k+Iwul4M5n1lOcm8y+qhYumJWNQnHnM+uZk5/C\nrhPNLJ2WwSN/38Nfy0+w83gTl5TkAfCpZ9czryCN7ZWNXDYvH6WkrbQwna3HGrlgVjaPvrKXohTN\n4dc3cNWCAlDiMiudnMaHRxs4rzibmGjFp55Zz7xC6euCM2S/t3bXsOlIPdctKkQpxWd+voGlRRls\nOFzPTUunoIDP/HwDZ0/PZN3BOi6bn8/3Xt3L+/vrWHugltuWFYGCu36+QQSaAzV84txpKOCu/9vA\n+cXZvLuvhqsXFvC91/ax4VAD7+2r4c7zpgFw9/9t5PxZ2by7t4ZPnz+9r+2CWdm8s7eG6xYV8v3X\n9rH5SANv76nhrgtmcOjQQe7+v41cdEYOb+2p5u4LZ/Ttt2J2DmW7q7lxqYiaHx5tpGx3NZ+7aAYo\n2ebiOTm8uauae1fM7GtbOSeXN3dVcfNZU3js9X1sO9bEG7uq+PzFokLe89xGVs3J5e/bTwCKbRWN\naC0B+S9tPoZSihnZSfJeHXfaZuYkM68gjWP1bTz/wRFuP2cqaw/Uss213xl5KcwvTGPbsUb+sPkY\nKMXs/BS663s5Hi3i68eXT2PTkXq2uraZOymV0snpbK1o6GsrmZTKginpVDV18Mx7h7jzvGmUVzRQ\n7tpmfkEapZPTfdrOLJS26uYOnn73EJ86X8TeYNv4ty2Y4uz36fOns6OyiQ+PyjZKKRZMTmfBlHRp\n23JMhOXCdGblJbPlSAM9XnhpcyWtnb28ubuK6xaLAO2JjmbhlHR2VDYG9FXb0slT7xzkrgums+tE\nEx8edUTphVMyWDQ1nS1HG/raFk/NYOGUdOpbu3jy7QPcc+EM9lU1s+WIs82SqRksnJrRJ2YDLCnK\nYPHUDBrbunjirQN89qIZHKhucfpWIoIvmprBliP1fW1nW21N7d38uGw/n1sxkyqvlxc3V/Rts2x6\nFounZrDJtd8507NYXJRBS3s3j5ft5/MrZnK0ro1Nh51tzp0h2zhtinNnZrOkKENKrd/YxxdWFlPZ\n0M7Gw44wv9zaJlhba2cPP+xnv/62OXt6JvurW/jRlg5+8sm0gN/nI4HSWoffQKmtwEJgk9Z6gVJq\nEvCs1vof+9nvaeAKoEprPT/MdmchfyzdorX+XX8DXrp0qd6wYUN/mw2IsrIyVrg9mxOUiM/z4emQ\nOw+OfgDebqddRcFl/wPL7jm1gXwzH86+S2aLe3SehGdf+2PY8Az8+Uuw4FYo/w38Z40jGAFsfBb+\n9EX4YjlkFDntXi98I0sCwBd8DH6wGC7/jhzDn+YT8Mhs+OgjUlL38j9Dez2kTIJL/QK6vzs/hHNj\niuRJjQEGfO1+a6oIdk0VcNcbULik/33GAOYzOsRs+SW89Dl5nFIAl359RMXR0+X9hFE418cWiYOy\ntws+twbyQs2XMbQM9XkqpTZqrZcOWYfjCKXUNCBVaz3mJjUZ7r/BnnrnAN/8y06e+sRS4mOiuf1n\na7lqwSTOnJzm81/ZYKUYa/bX8Mln1tPV4+XeFTM5f1Y29zy3kc5uL929XtITPQHZSl/69WY2Hqnn\nnX9eOaTnBFDf2sWXfrOFHq+XyoZ2Dta0ceGsbD6xfBqHa9v43mt7uGZhIX8sr+RT503n6fcOcsPi\nyfxuUwX/fc18NPDvL27j2kWFvLj5GF+/ah5erXnwTzu4onQSfy6v5IYlk/nthgoum5/P37ad4MuX\nnkHJpFR+vf4oL24+xtULC7hmYSG/31TBn8uPc/n8fC4vnUSvV/OX8uO8suMkq+bkcklJHr1ezas7\nTvLWnmrOL87mwjOyKdtdzZr9tSybnsk5M7LQWrNmfy0bDtezeGo6i6Zm0OvVbDpcT/mxRuYVpJKp\n2qjuTWDXiWbOyEtmVl4KXq9m94lmDtS0UpSVSFFWEl6v5mBNK8ca2pmUFs+kNClBPNnUSXZyLNnJ\ncXi1pqa5k7q2btITPWQmxqKButZOGtt7SI2PITXBQ2NbN82dPSTHRZMc58GrNS2dPbR19ZLgiSIh\nNgatNW1dvXT2eImNVsTFRNPR00t3ryYmShETrdAaunu9eDUoICpK4dWafm6VfIiJUqQmeOjp9dLW\n1UuPdwA7GwwGQ4QkxUYT54nmrpIoPnf9qiHtO9K/wSL5N0y71roX6FFKpQAngKJ+9gF4Frisn0FG\nAw8Dr0TQn2GkyJkNukduQFQ0oEQ8ufYnpy4igeQkuTOS+krbLEdS/SFxI0X5XZ5Zlu2ydq9ve2ej\nuJESMiBrJu3x+bDv9eDHbpX/9pGYLTfO1/5E1m96LvBGeqJlyXQ2y2tVdK6s284vw8SmfLWIog+m\ny7J8NUy/yHn+ll+MX4edIZDuDsc5akrbxjxKqcX+P0AmEGM9Pi35/377IT94cy/piR6uWzyZH5cd\noHSy8x/X5TOzA2z8y2dm86VV8nfCjuNNfOGXm/nJHUu4YFY2GrjKKpVx09XrJS7mFMr1w5CRFMvP\nP3U2n7+4mMb2Hq6a6WFbZRMHalr44Zv7eOKOJTx0zXw+f/FMvvvqHj5/8Uz+44oSfnTbYv7lha38\n6wtb+dHti3ngqnn86PbF/McftnH/H7fz49sX81/XnskXVhbz9LuH+KdVxXz7hgU8cccSfvDGPsqP\nNfDWnmruW1nMO3tr2FfdzJr9tdy3spgPDtaRmRRLNfw5AgAAIABJREFUTkocGw7Xc9/KYjYfbaAo\nK5EZOUlsPdbIfSuL2XG8CaVg14lm7ltZzN6qFpbNyOScmVkcqGnlvpXFHKptY9XcXP5hXh4VDe3c\nt7KY440dFCYrqpo7uW9lMTUtXdy2bCp3nFtEQ3s3960sprmjh89eNIN7L55Je3cv960sprPHy0fO\nzKe7V3PfymK8Gu6/soQHr5oHSnHfymKilOKb187nv66dT3RUFPetLCYmOopPLC/CEyPrsTHRPHrz\nAr53y0LiPdHct7KYhNgYfnjrIh6/bTFJcTHct7KY5HgP911STEq8h/tWFpOa4OHpT57FM3eeRXpi\nLPetLCYjKZbnPn02v/jMMjKTpC0zKZavfWQOGYkerpgRQ0aih2fvPItn7zyLjEQPn794JqkJHn54\n6yKeuGMJqQmevv3+zdrvngtnkJHo4acfX8pP71hKRqKHuy6YTnqihyduX8yPb1tMeqKHT583jfQE\nD19cVUx6goc7l8v6Y7cs5Ps3LyQtwcPHzy0iLcHDozct4JEbS0lL8HD7OVNJS/Dw2QtnyPoyWf/O\nDaX87w2yzW1W27dvKOXh66Xt1mVTSEuI4e4LppOaEMPHzp5CanwM37r2TD45z0NqfAy3WG3/fe18\n/vva+dJ2lrR9+rxppMbHcPNZk0mNj+EbV8/jG1fPIzU+hpuWSttDV8/jIavtRqvtE8tlvxuWyPqD\nV5Xw4JUlVlshKfExPHBlCdcvLgTg+sWF/Obuc/jN3ef0tV23uJBf3XUOv7rrHK5bJG3XLirkl59Z\nxrWu9V98ZhnPf3oZ1yyUtmsWFvDcp8/m/z51NlcvLADg6oUF/PxTZ4vTzPq98cydcm24257+5FKe\n/uRSriydBMCVpZP42Sec9StKJ/HUx5fy1MeXcoWr7acfX8pPg7R99ExZ/+iZk3jyjiU8eccSn7af\n3LGEn7jaLj9zEk/cvoTL/dafuH0xl5+Zb7Xl88Tti33ablw6ue/9vHHpZFLiY/jPK+byi88s63sN\nriidFLDf5fPz+fFti7l8vqx/ZH4+P7ptMT+6bTEfcbU9futifnjrIi6z2i6bn88PPraIy+ZZ6/Py\neexji3jsY4v4R6vtH+fl8f1bFvL9Wxbyj/PyfNrs9X8oyeN7Ny/kezcv5B9KnLbv3ryA7968oK/t\n0pI8Hr1pAZfa63PzeOTGBTxy4wIunSttl8zN4zs3LuA7Ny7gkr62XP73hlIumZsLwKq5uXz7hlK+\nfUMpq+y2Obl8+/pSvn19KavmOG0PX3+mz/r/XHdmQNvD1wdvO5VtWrt6uX3ZVOZmDc93WCREkpG0\n2bJbPw1sAJqAdf3tpLV+2/qvWjj+Cfg9EKIOyTAqZJ8BO/8oM7ctvBWuHuJJ+qKiRUjyekXciLfD\ntpNlWX/IN2i7b1yWkFSzD4ovcdrb62WZkAlAXeYiCg++DT1dEBPr20dfkLeVv5Qiv4Bprgw83kTL\nkmmyznHqubD1t1B/eHTHYxh+QpVnnv8VZ5umSig8be9XJx7dbfL7rbXKlLaNDx6xlvHAUuBDxAxR\nivzNde4ojWtUiI6S3L7G9m7WHqhjweQ0vrL6w4AytlDcc9FM1uyvpWy3CCkA6w7VAfDC5mP84/x8\nn366erzERg9PaRvgU07XdXQbt6yc35dHYo+j1wtf++gcer2yz/KZ2X03me6Z5Pzbgu33uRUzePSV\nvX1B3ikJMX0ZNHddMJNzZmZxz3MbAfjJHUv6SgX928x+/e83q/cot66aH7DNecXZ/R7votk5Adtc\nPCc3oC0/Pd5nv0vn5QVsc9n8/IC2oqxEn/0uL50UsM1Hg7RNz07y2e/KBQXc89xGenp6+Nmdy1g+\nM5urrDb3fjNzffe7emFhwDbXLApsOyMv2We/NYsDt7lucU1fm52Rdv0S+Tv8Tetz/vzaI9xgtZXt\ncdpKClL6RNXn1x7hxqWTUQre3uu03XSWRNG9s7eGq2Z6eGdvDfMLU3l3X03fNrecLdsEa3vPEmmf\nX3uE0ilpPuu3Lptq/R4I37ZgShrvH3DWbztHtumvbdHUND5wrd9ubfPBgTpXW5FP2zNrDvm8n9cu\nKuQLv9zM51bM4J29NQHjdPe1qCidDw4663ecK32vDdK2ztW2pCiddYec9Y8vl23Wu9o+sXya1Vbf\n17Z0WobP+iet8kxbBA/VdvZ0KSe7aqaHd4/Uc+f5ss3GI842n7LaNrnals3IZNORhr51u/Rzs7vt\nAqvtqNN2zsxMn/Vg2wx2v0i2SSiJ8glPH0nCCklKKQU8qLVuAB5XSv0dsVtvCrdfJCilCoFrkWlu\nwwpJSqm7gbsB8vLyKCsrO9XD+9DS0jLkfY5FIj3PyY3RFFvizI6OHKqG+LVZ3qOpOXqYA6//lfPR\n7KuopqKsjLSGfSwCaK6kPjqLD/2PqzXnRydxsryMvR1z+ppTmvayBNi6r4LahjKSEuZQ2P0yW/70\nBA0ZpT5d5J58hxJg3fYDtB3qxtPVyHnA3k1vc6zKt740t+BGZjc/TrTX+a9+b1QcuwtuHPLXZLAM\n5NrNqNssUwId62B+TApVO95nb88pzMA3gpjP6OA45/2vEe8/+2J3O13v/hBbYt278S2OnUwesmNG\nwunyfsLIn+uFna00x+aRBmzZuI6GAx397jMUnE7v6VCitb4YQCn1ArBYa73VWp8PPDiKQxsVrigt\noKWjh84eL2sP1vbdREQ6g9rag7XsON7Ud8P0zJpD/M91Z/L5X27mhsWTA7KVOocxIwl8Z3IrOypi\nz88+uZTyisa+bYIFpLqDVEO1Bduv10ufiGSvD5VIFel+N8/2jOjxzH7Dv9/xyspRG6fNFaWT+Mo/\nzB5WsbDr6DbOnDNl3ImaA9mvuqWTlzY6/yQPJkCPhXEOldh7y8pAsXesjTPUfhH3/exaFiysifh7\ncigJKyRprbVS6lVgvrW+bwiP/T3gX6xZSsJuqLV+EngSpD5/qPMmTpe8jojPc28P7H8agJLLP0tJ\nSt7QDmRjIgX5uRScVQrvQfG8xRQvXgGV6bBFNskoLA4+1n1zKYxtpdD93N4e2ARnnn0hTF3GO6+1\nwcEYFibXgn8fH+yEnXD2isslaFprWBvLrLwkZgUcbwWUz4WX7pWsqJgEoq96jJLSmygZopfiVBnQ\ntbvpCJTDoouugJOrKUzs8X0dxzDmMzrYDmuCNsd2Ozcxs/ISg1z7w8vp8n7CCJ+r1wtl3aTlToGm\n3SycPxdmjcyxT6f3dJiYbYtIAFrrbUqpuaM5oNEgJyWOf1o1izX7a/jluiOu/8oGztLmj9v9Y98w\n/bn8OBmJscR7ooiKUvzw1kWUVzT29TWcYdsQXOxZPjN72P7g9z/eUIpUke5Xpo+ywrX/cB9vtPYr\nKzs6LsY5FPuVldWN2jjLKxr7bppheMW0sqNjR7wbrv2+dV0pU3W1z+9BfwF6LIzT7Bd53/cujPd5\nP0eSSErbtiilFmltTTUxdCwFfm2JSNnA5UqpHq31S0N8HMNAyTnDWs6BoRaRAKJjpDztKas87bUH\nICbON/g5McSHIXsWHHjLt80ubUuU0rbemETImAHvPw7vfV9K0VbdLzkwrTUSGp6QIfsoBSn50HQ8\n+PFKb4K/f02ylTKKBpcl09MJf/kqnPdFpzxvNGg8Bigp50ufClU7+93FMM4JVZ4ZnyazFyblOCWP\nhvFPj+U+s3PnTGnbeKJcKfUU8Ly1fhsw5sK2RwJ/QSjULG3+uN0/IDdMVy4ooLyikaLMJA7XtgaI\nOF29XpLjIvlT2GAwjAZjRUybKPsBzM2K9hF7I+lrvJzfRBJ7I+3b//0cSUL+G0YpZX+zLgLWK6V2\nK6U2KaU2K6VOubRNaz1daz1Naz0N+B1wrxGRxgipk0XImXXp8PTf3Q4V66BFprulrVZyW/a/6WwT\nLCMJIKtY8ow6m522dus/JZY4lHvyLag/aM04p51cmPLV0FYTGOSdUgDNIYSk3m4RkVQ01B0Ab2/w\n7dyBxt+aDC993nnu8Huw+TnY87fQr8lI0FQBybmSG5VRJGHbXu/ojskwvKy6HzwJvm2eBCg8SzLJ\nsoqNkDSRsMsYTdj2eOROYDvwRetnh9V22uEvCC2fmd3nJArHZy+aGSA0LZ8podxFWYkcrm0L2Kez\ne3gzkgwGg8FgmKiE+zfMOmAxcNVgOlZK/QpYAWQrpSqABwAPgNb6icH0aRghoqLgc+85NyNDTXs9\naD9Bprsd3v2us56YFXzfbMstVbsPChY5/UHfeGcceM4Skfz6f/0hmLQg0O2UOgmOh/jHry12FSyC\nYxtEfMmc7ruNf6BxZzNseR6mXwALboEDZdLefCL4MQbC7r/BO4/Ap/4moeUDoakSUmWmCtKLoLdT\nzi910qmPa7yy9idwbCNc9+Roj2R4sB10f/mKXJdxqfDRR0TUTMqB1AI4dsr/FzCMFezfQQnW727j\nSBo3aK07gO9aP6c1w1EONi07ibI91Xi9mqgoJ06hq3d4S9sMBoPBYJiohPv2VABa6/3BfvrrWGv9\nMa31JK21R2s9WWv9M631E8FEJK31J7XWvzuF8zAMNSn54Ikfnr69PcHbm45J2RmEdiS5Z26zaa+H\nuDQpmQPiOoPnwtBYIaVt/n3bjiStA/exxZ9p58uyNsil//pDzg2cm1f+U5a206qlKvi4BsKhd8TN\n1VY78H0bj0GaJSRlTJNlw5FTH9N4ZvdfYd9roz2K4aX0JljwMXlccpWst1SJOy01zLVvGH90+5W2\nGUfSmEcptdpablVKlfv/jPb4JgpFWYl09Xg50eQbPj/cGUkGg8FgMExUwjmScpRSXwn1pNb60WEY\nj+F0IMoT6BgCyXPpaIJOK7slGJkzRGyq3eu0tdU5/4EHOuOyie+sDt5/Ww3kn+nbnpIvU2Z3NPr0\nAzglb9MugPe+J06oWZf4btNYEXysrVUiXJ2w7gVahsCRZI+ntVqEgEjRWoS6mStlPV2m9aThMExd\ndurjGi+01fVlaQFSrtjRKK9PP6H/45ouq6SjwcpLaq2WsrbUQujpEDHW/boYxifd1vtsMpLGE1+0\nlleM6igmONOykgA4VNtKQbpT7tvVY0rbDAaDwWAYDOG+PaOBZCAlxI/BMDhSCx3nkY0nQfJc4qxp\nyEOFbcfESVlWzR6nze8m+MCMO4Lnwqy6X4SdgNK2AlkGy0myHUn5Z0pZUG2QiQs9icHHGhXjlLWl\nTobmk8G3Gwj2eFr9XFfujKbvzpd1Nx2N0NXiOJJsIan+8KmPabxQsRH+dyac3CHrPV0iAnp7nBvw\niUp3qyxtB5rbkQQiMhrGPz2W28JkJI0btNbHreXhYD+jPb6JQlGWfE/75ySZ0jaDwWAwGAZHOEfS\nca31QyM2EsPpQ0q+OCLsm9u0Kc6sau88Im2hStvKV4vgs/0gVGyQ/drrnVnYgKq8iyiZOxde/md5\nLmUSXPoQzLsWXrgrSGmblRHUVAm5frMtNx+XoO2kHMiaGSgk7fm7nEdUjG/Jnu262visuANmXQrb\nXxzY6xQMtyPJxj+jyQ4XBycjxxYK7IwkTwIk50HDoVMf03ih/iBoL1RugrwSeZ20FTbe0QixSaM7\nvuHEdiQ1Voi40F4n7799PTRVBjr1DOMP40gadyilmoFgtaUK0Frr1BEe0oRkUloCnmjFodpWn3ZT\n2mYwGAwGw+DoNyPJYBhyomIcEenLO+DL20TwKF8tpUYAT14U6KqxBRP7v+62YNJw2EdIAqS/26zY\nrcu/I+t2rpC/kGSHTYdyJKXkSwB5VnFgRtK6J8VtdNUPRRBDyXLeNfL8oXfE+dJWDx0N0N0RcIiI\n0dpxJLkzkoJlNNnh4jaNlpCUNtlpSy0YGpfUeKGjQZZVO2VpX2sgQtJExhYYvN1wcps8TspxiajG\nkTQh8M9IMkLSmEdrnaK1Tg3yk9KfiKSUmqKUelMptUMptV0p9cUg21xt5S1tUUptUEqd73ruMmtG\n3n1KqX8djvMbK0RHKaZkJnLE35FkhCSDwWAwGAZFOEfSqhEbheH0wgrFJmOaU2pli0T2jU9jRaCr\nJpRg0tMJCUHyXXLnAkpunLvb4JX/kPY3/1vK1Ox++26mgwlJx0VIAsiaBVt/J8f0JIiLY/8bcMFX\nYeHH5Md9LjY97bDnL/K45SRkFPX3CgWns8kRBNyOpFAZTe72PkdSgdOWlOPMSnc6YItF1btlWXcw\n8LmJSler45Kr2ChtybniSlJRci0bxg/lq+X3YWOFiMO2o9P+/RibJO+3KW0bdyilcoG+mS601uFm\nROgBvqq13qSUSgE2KqVe1VrvcG3zOvBHrbVWSpUCq4E5Sqlo4HHgUqACWK+U+qPfvhOKaVlJHHIJ\nSVprunq9xJmMJIPBYDAYBkzIb0+tdd1IDsRwGhFlCUlF5zltEblqQggm2hvoSAK5mcqaCbtfFmHH\nFk3aamXddjx5EmT/5iA3080nHKEpayagHSfLh7+SYy+81XefYOfSa4WLn8rMbW6hyy0kuV1Gbtzt\nzccBBcn5TltSTmDW0kSmT0jaJcvTzZGUVSyPj22QZVKuiLrJ+UZIGk/YQnXjUUA7zszy1c7vHU+C\n5MkZR9K4QSl1lVJqL3AQeAs4BLwcbh+t9XGt9SbrcTOwEyj026ZF675pGZNwyujOBvZprQ9orbuA\nXwNXD9HpjEmKshI5XNuK/XJ09Upps3EkGQwGg8EwcMI5kgyG4SHKI8ui5U5bJK6atMnWzVMQgglJ\nAHnzYdefwNvr226LVH2upAIRavz/099W64zTvhHf8LRkIzUeheg4yWrKnNH/ucCpzdzmLr1zC0Cr\n7vfNSAInXNy9fWKm4wYDKfFrrZ74M5bZtFulbY1HobNZMpM8ic6MfROZrjYoXAzVO+V6BUi2ZkZM\nLTClbeOJcKL7cssJ6UmEaONIGmd8AzgHeE1rvUgpdTFwe6Q7K6WmAYuAtUGeuxb4FpALfNRqLgTc\nX6gVQNApPJVSdwN3A+Tl5VFWVhbpsCKipaVlyPsMRnddN21dvfzhlTdJj4uivUcEpaOHD1FWNvy/\nA0fqPEcbc54Tj9PlXM15TizMeQ4/RkgyjDxR0bJ0C0mhRCK3qyaYYBITL5lJoaYuz58PO14K/pxb\n8EmdJCVwB8t8Q6vBEW2yz5CSuPVPOfv1dgaW4IUTvJpPRUiy9k2d7Csk2cd96XNO4PdF/+K0A7QF\nma0uKVccC51NTqbKRMYtFlXvEUdSfikc/WDiC0ndrSIcJuVAnZXzlZQry9QCp9zPMPYJJ7r3WL+7\nYuJF5DaOpPFEt9a6VikVpZSK0lq/qZT6XiQ7KqWSgd8DX9JaN/k/r7V+EXhRKXUhIlhdMpCBaa2f\nBJ4EWLp0qV6xYsVAdu+XsrIyhrrPYOjdVTy/cz2Fsxdy1rRMals64bXXmHtGMSvOmz7sxx+p8xxt\nzHlOPE6XczXnObEw5zn8GD+vYeSJS5HZojJcf7itul9cNG78XTWlN8GVj1mh1siN0vlflschHUlh\nZqJyi1Qpk8SV4f+ffoCDb8kyNjH4zF7+JXihzgWc8rq6A/D2d8DrDT0+f2xHUv58EYbclN4EniSY\ne2XwfVtrITHLty3JcqScLuVtHY1OllbVdqg/BAULrecaRm1YI0JXm7hU7M+OJxHikuVxaqEpbRtP\nhCtl9SltizVC0viiwRKE3gZ+oZT6PtDazz4opTyIiPQLrfUL4bbVWr8NzFBKZQPHgCmupydbbROW\nKRmJAByrl8+JU9oWPWpjMhgMBoNhvGKEJMPIs/I/4fYXfMupfEQia+azKx/zddXY2315G5TeIg6L\nwiXSHixsG0R0CYa/SJVa4EwF70+7S2QI5ShyuwRCnUtSriMkbfw5vPEN2Pa74P0Fo/k4xKVB+lTf\njCSQG8jORpi0UKZx3/OK7/NttZDkLyRZDqVTyW0ay/T2SNmeTUcDTFogAuT+N+UmO2c2xCQMryOp\nfDV8dz48mC5L/9kIh/t4H/5GnCqxSXLtgARt26QWQFfzxHdlTRRW3S/XrBv791l3m1zfUdGyNKVt\n44mrgXbgy8DfgP1AiP8MCEopBfwM2Km1fjTENsXWdiilFgNxQC2wHpillJqulIoFbgH+OETnMiZJ\nihPBqL1bSt27ekxGksFgMBgMg8WUthlGnrTC4O2lNwUKR6HIngXlv3ZKyEI5klILIT5dRIT4dLlZ\nds9yZJMzJ/Sx3DfdkZTghTqXNY9BsyUkHf9Qli//C7z+dWg8FnxcbpqPSwleYracR4/LbWCLQcl5\ncMZl8M4j0FbnlPy11UCiX/xFnyPJT5Tqj/cfh8yZMPuyge03knh74YdLYckn4fwvSVtHo4w7+wzY\n95q0Zc6Qsr7hElHsYGR3uaR/KeSwH8+aEdyT6AhJSa5rOmOaLOsOQMGi/vsPNluYYeQovUlchH//\nN1lPm+K8D3/dAB5rwi8Ttj0uUEo9DvxSa/2eq/nnEe5+HnAHsFUptcVq+xowFUBr/QRwPfBxpVQ3\nIlTdbIVv9yilvgD8HYgGntZabz/lExrDJHgsIanLCEkGg8FgMJwqRkgyjE+yZ8nSDg4OJSQpJTfH\nVTvgix8GlpzZzLtWBJXXHggsb7voX53HkQRbhyI5X8K2tYYT5c56uzVBYn8iQ/MJSMl3nERttc5z\nbiEpZza8/b9w6F0ouUrK59rqAjOSbIFsoELSO49AweKxLSRVrJcw7aqdTltHo4hGObPh5FZpy5g+\nvEJSuGDk4RBggh3Pzs2JTQRPEEdS9hmyrNkbXkgaaVHMEJrpFziP/2mTlLGBOJI8Ur5jwrbHDXuA\n7yilJgGrgV9prTdHsqPW+l0g7EwJWuuHgYdDPPdX4K8DG+74Jd7j60jqtIWkaCMkGQwGg8EwUMy3\np2F8kmUJSUetCWoS0kNve9Vj8Mm/hhaRQASnZff4ZjABEAVL73RWIy3BC0Zyngg+TcdEBOrpCNzG\nP2/JTfMJyXKynUTunCS7ZC451xHZbOdURwPoXkeAsrEzkwaSkdTTKWOvOxD5PqPBbmvWbFsk09oR\nknIt91mUR1w1wykkRTIb4UgcDyRDq8+RlOO0Z04HFQ01e8L3HU4UM4wsHa48Zfdsjt3tzu+56DiZ\nDMAwptFaf19rfS5wEVJy9rRSapdS6gGl1BmjPLwJRZzlPOq0S9usjKQ440gyGAwGg2HAGEeSYXyS\nOQNUFNTuEyEgKkxYpn3zHAl2SdrhNfDMR0RoUCr4NgMlxRKSKq1/NocSL4KJAV6v3DC6HUmt1fRp\nwX1CUp6U8MXEOzeYtnPJP2w72iNOroE4kuyMqIbDkkEUPUZ/hez5myztc+tqlRntEtKd18XbDd9f\nILlT3u7hGUekpZDDfTwQR1KwjKSYOClv609IGmlRzBCaTpeQ1HQMMorkcU+Hk58UEwu9w3RdG4Yc\nrfVhxDn0sFJqEfA0cD9SdmYYApRSxHuiTEaSwWAwGAxDgPn2NIxPPPHOTXGosrZTYeq5ElqdOW3o\n+kzOF2fQ/jcAJSHHwQgmMrTVihDidiS1+pe2KRGZlBLByRZ9QglJIH21DiBs2+7T2xNasBht6g5C\n9S5xHNluK1u0q9kLG55xtm08CtU7h08MWXU/RMf6NarISiEHezzld98ZHSdLT5IIRtmzYfJZvttk\nnyGvTTjCzRZmGFncjiT3jHvdbb6OJFPaNm5QSsUopa5USv0CeBnYDVw3ysOacCR4ounoFgHJFpKM\nI8lgMBgMhoFjvj0N4xe7vC3UjG2nglIys9x1Px26PlPyZLn3Vblxv+TBwHK7UHlLtosmZZKrJM3l\nJGo5Ke3RHmu7Akf0scWUkELSAErb3GU0Y628zZ6t7LGFsp5/ppT/2WVtALv/GlhSqHt986aGktKb\nYN711oqC2GRxiw1XplDpTeLQs0mbAufcK49jE+X6+sI6mHWp737Zs8Td5+0N3Xe42cLGMq01cPCd\n0R7F0OLvSLLp7nB+p5iw7XGBUupSpdTTQAVwF/AXYKbW+hat9R9Gd3QTj3hPtHEkGQwGg8EwBJhv\nT8P4xQ4JHg5HEkj5T0r+EPZnCUmNR2FSqZO3ZN+ch8tbskWhlElSuhYV45uR1Frt9A8ybtupYIsk\n/hlJYAlJgyhtg7ElJNlB0G6X1ImtciPd2eQISW11wffXXhGchoOkLBGPHqgXUaenI7xgcyo0VTrh\n7TMuhi9vgymW+8gOYQ5G9hnyWjUcDr1N6U1w8b/7ti2/b+wHba/5ATx3jYgsEwX7eo5JkBkfbXwc\nSSZse5zwb8AaYK7W+iqt9S+11q2jPaiJijiSfDOSjJBkMBgMBsPAMd+ehvFLdrEsE4fBkTQcuIWe\nSQtkWXoTLLtbyrDu2xL6przPkZQPUVHiLvJ3JLlzb1ImieijtSM4hXQkufrpbA5/Ds2VUqrlSZQS\nsrFCsCBoO/eotUYCx8H3NfLHf/+houGwlGEqZV2revjCvY98IMvELMe10tUmy9ik0Pu5Z24LR4F1\n3d7yKymVc7thxiq1+6QUs34MXa+nSmeTlK5lFPk5kkzY9nhDa71Sa/2U1rp+tMdyOhDvFpLMrG0G\ng8FgMAwa8+1pGL/0lbYNkyNpqDn0nvP4ve+LiwYgq1hEj3CZQ7aQZItRSTl+GUknAx1J3a0iDLXW\nyk1/sFnrknKgvV5CeWv3w8PTJWg85DhOSN8Z08eWIylcxlFrjSPcLP+nwNfBLgccLnGn4QikW2HI\ndhlm+zDdMx5dJy6VouXO+XRb5oawjiTrs9Rf4LbtSMueBfOvhW0vDp8AN1TUWy6r2v2jO46hpKMJ\n4lIkZ82dkdTT7rzPJmzbYAgg3hMVkJFkHEkGg8FgMAwc8+1pGL8Md2nbUFK+Gl7+f856a7WUYpWv\nhsyZ0hbqRrd8Nax5TB7/YLGsux1JWkvYtr8jCeTGv61WyquC0TcDXA0cfk8ErZPbQ59H83HpO9Ml\nJLXWwi9vgQaXEKb18JVvNRyFZz7qW9ITLvDTJe8mAAAgAElEQVS5tdoRVRbcKuWDaVMAJcsld8pz\nwyUk1R92ZtWyr9VQJXanytEPoHAJJGY759PnSAojJCVmiqjYr5DkcsbNvlxEquMfnvq4hwutHSfS\nWBI+T5XOZohPhdTCQEdSTLw8NmHbBkMACbFORlKnKW0zGAwGg2HQmG9Pw/glORf+4b+g9ObRHkn/\nBCu96m6X9iyrRK8uiJBkZ/90Wa6SxqOy3t3ulKx1Nknujr8jCeTGv60meFkbOOJTazUc2ySPW06G\nPg/bkZQ5Q27Qvb2w40XY8zLs+Zuz3Xvfhx8uDd3PqbDtd3D4XdjxktO26v5Ap5F9Q91aDe1WaVt8\nmpQPfnkbPNggyzMuk+eGQ0jqaJSyOnuGQbsMs30YhKSuVjheDlOXyXl2NIqQ0udIClPaBpHN3NZ8\nQgLD41JEsAI4tvHUxz5ctNVCV4s8Dvb5Gq90NkGcJSS1VEGPFard7XYkmbBtg8Gf+Jho2rt8S9vi\noqPD7WIwGAwGgyEIRkgyjF+UguVfgKyZoz2S/glVetVYIWJObLJkufgTSoCq2uHMttZSJUu3kJRa\nIEvbkZQYJGgbxIUClpBkCQLumdn8abIdSTPkJrWpEna/LM9VbnG22/eaOECGQ5zZ84os977qtPUF\nl1viUdoU+Oij8rjNKm2LTYbomMD+4tNlORxjbTgiy3Q/R9JwlLYd2ygz0E05R4Sk3i4RGLvaJJw9\nJjb8/tmz+nckNVU6breUfEidDBUbhmb8w0H9IeuBmnilbfGp1udcy2dWa0tIsh1JscaRZDD4ER8b\nTUePmbXNYDAYDIZTxXx7GgwjQajSq7TJIohlzQx+oxtKgOpqgc4mlLfbcRC5S9tsUam5UkrPQjmS\nbCGpsULEKfCdmc1NZzN0NTtCEsjMaAfflsfHLSHJ2+uISuGyiwZDez0cXSuui8PvOU4tEDEptRDm\nXStOo0W3iWvDzkiKTwvep90+HEKSnc8zEqVtdolZ4RLfc+pu69+NBPJattXCg+nw3flOhpcb25Fm\nM3nJ2HYk2YHwBQsnWGmb5UhKK5T1pkrJQ9K9rrDtWClV9XpD91O+Wt7rcO+5wTCBiI+JpqPLCEkG\ng8FgMJwq5tvTYBgJgpVeeRKkHSQnKVjpTSgByipfufDtG2D1x6XN7UiKS5YbzeYT4shJCuVIstr3\nvyEzW8XEhxaSmi3Bys5IAlj/lDhfppwDVTtlivWavSI4wdALSfvfkJvl874kxz30rvNcb4/MkJYx\n3ff8WqulvMx2HvnTJ7o0BH++6Tj87tPiAhkoDZaQZDuS4tMBNTylbdW7IClX8rDcQlJXa/h8JBAB\nYccfrBXtlFD6Cwt2RpZN4RI5R9sdN9awHUkzLpYsITsvarzT0STvcaotJB0TwRB8w7YhdHmbXTbb\neJSw77nBMIFIiI2iwxKQunp7iY5SREepUR6VwWAwGAzjDyMkGQwjgV165Q55vvIxaQfJSWo44mSd\n2Jx5Y2BfUZ6+m0MF4iIBOOI321pKvrgwuttCO5LiUiWUd/8bsj5jRRghyRW0nFoojof9r4s4suwe\nEXhObvd1qISdie4EPHWp49qJhL2viqtn+T/JDfO+13yP5e1x3FIgJX122HZIR1KqLEM5kg6UWblM\nYWazC0XDEYhNcZxIUVGQkB5ZadtA3SLVuyFntjx2l+t1t4WfsQ2khNJfcLAzvGy0DnQkFVo5WGPV\nlVR/UISvvHnO+lgm0vfcnZEEIiT1dMhjd9g2hBaSwuW2GQwTlASPb0ZSbLT5M9hgMBgMhsFgvkEN\nhpHCP+TZFpFAStu015XpYnF8iwgRqZPpE6DiUkQw8eedR33XU/KdGdhCCUlKSXlbZxMk50PBInEw\n+Qta4BKSJsG238t4QW5UbfHp+Bao3CRjjvKEdyQdehcq1sG+V0NvY5F78i347jz48FeS+7Lrz+Li\n2vAz56Z747OysVtISsqR0r6OhtBCUkyc3HyHEpLs8z65rd9xBmDP2KZc//FOyOy/tC2YW+Sle+Hh\n6cFFBq0tIWmOrPs4ktr6dySFy/Cyaa+H3k4nfwukZExFjd2cpPpDkDHNyVEbrpykoSgRi9Qh5PU6\ns7bFp8pnrakyiCOpHyEpkvc83FhNSZxhHBLvkYwkrbUISaaszWAwGAyGQWG+QQ2GsYA9c5s7cLtm\nrziFLvgyfGW7I0CFcrP43wCmTHKmBg9V2uZ+rnCxU7YUbOY2W1A5+oHc4NpiVncbvPGQ3MAe3yLu\nlMJFIjiEuymt3iXLys2htwEoX83s3Y87fXW3iahStUPymOyb7g8el+d9hCSXIykhRGkbOLOcBaNP\nSNoefpzBaDjszNhmk5jZvyMpmFvE222VxAURGZqPixjY50hyZyS19p+RFC7Dy8btSLOJTYLckoE5\nkrRGeXsj3/5UqD8kpY6ZlpA0HDO3DVWJWKQOoa5mOU5ciqynFlilbda+7owkCB24Hcl7HowQ55t7\n8q3w+xkMY4B4TzRaQ2ePl65eIyQZDAaDwTBYhu0bVCn1tFKqSikV9N/4SqnblFLlSqmtSqk1SqkF\nwzUWg2HMY4sf7hvd7S/KcsHHfLeN9AbQfcMfypFUvtoRdA69BzWWkBWsvM2e+v2tbwe/4dW9cHQd\nnNgm2TlpU8ILSVU7ZVn5YehtAF5/iGiv382w1woWdtPbDSjf807KltK/9jCOJBgeIUlrKW2z85Fs\nEjL6z0iKxBXiFhns93CwjqT+MrzA15HmJj5DBM9I3Snlv+Hc9+8cfF5RpG6Y7g5x6mRME+dOUo7j\nSAoXQB2OD55wykBthqpELFKHUKeVPxZnlWSmFcpn6LlrZP0vX5XXxBaSekMISavud8rgbKJifN/z\nYIQ43xkHngu/n8EwBoj3RAPQ2e2l05S2GQwGg8EwaIbzG/RZ4LIwzx8ELtJanwl8A3hyGMdiMIxt\nEjOl5MntSNr+koRYu0uJIPhNv4oOvAFMce2XGMSRZDsL7GyVzkZY/xN53BJMSDouIk2oG96eThE0\nvN1QsFiErbCOpN3WcmfgjalbLAiXsxSA9i0jS8oRwamzafBCUpMloNTuFXEiUtrqZHa9DH8hKRPa\n+nEk2bNx9Yf9+tqvZZ+Q5Mp9iiQjyc7wsp1L/hle4IiLbqGufDVUfABoInbjVG4mtrtRZvwbKANx\n/zQckW0ypsl65kzJDOvphJ9cCK/2I5j44+2F1x6EtT/xbT+VEjE3kQrEdui7/R5HeaDxCLRUyXpb\njbwmlZZLLFiZKsh7O+cKa0VBTIL0Nfvy8OMMcV5xnWM0cN1gcJFgCUnt3b109niJM44kg8FgMBgG\nxbB9g2qt3wZC/ttda71Ga23fTX0A9OOnNxgmOHnzYN8bcqNbsxeqtsO8awK3cwV3a9uBc9m3fG/6\nwc+ZE8SRFMxZYJfBhHIkpUwKM5Ocq3zq5X8W8aapUmZT86enU27qc+ZKiZzb7eMvFgyEGD+BLSnH\neRxq1jbox5F0Qtwf2us4fyKhb8Y2v9K2hIz+S9vm3xDZMez3onqXCFR2mWJMvDhS+mZt66e0DeT6\nufCr8vjeDwKvp6YgjqTXH7KcYC76c+M0WMJgfyWNwRiI+8cO1rZnGETBkffhm7lwcivsenlgx64/\nBD3tvmIvRC4ABXNSudu6Wh0XkY2/KwzkcwWOIymYU667HbZZjsZQjiSQaztvvpTNfuJPcn4f/ir0\n9sHOyx5WXJjyWYNhjBDvkT9727t7TUaSwWAwGAynQMxoD8Di00DIv+qVUncDdwPk5eVRVlY2pAdv\naWkZ8j7HIuY8xzYZqZew4NAD7PvVvxDl7WIG8H5DDp1BzyUXFv2QlpYWkpOToR3w2y618TiLAU0U\nb32wWUKRXVzUWEGwSY81cGTbBxxsm+XTvqzqAE2pc6gtuJHZzY/7lJt5iYaeDkeZbj6Od081UbqX\n9199kc74HJ++kloOcZbuZX/K2cys3smet1ZTWdgCwDnvf414f7HADy/RoBRR2hGpNFCbWsI21+uQ\nUVeBXTO769BxTnT6vkY2c5s6SWk+wTr/11p7ubD5OLVZZ5PT+T673vo9JyY1ABIAPuPAc8R11tAZ\nl82BGXdQlXdR3655J95gLrB+Xw2tJ5x+i042Mr2rmbfeeBUd5fE5nH3tzt/1HulRCfR4kojrrKU7\nOpkYb7vP+fZGxbG74EaqyspYuG8dxOaz5S0np2Z5VAI1B3aS3dpATXUDeyL4TOSebKUEWP/q72lN\n9nVSzdqzkdyYFN579/2+tpDXUGMFb4U43pJjO0kBTmx+mV0dc/odk5uBHK+w4lVmAe/trCRjzdeZ\nU7GOKO2UtOnaPez8zdd93rNwZNWs5UzAW3eQd954DR0lX5+5BTcyu+kHRGtHUHO/Ny0tLez4zdeZ\nvdv1mWk8iveFz/pew+11eIlGKw/Rulv6KP4cVXW5Pp/tzNoNlAIbd+yjuSKai5qOBX9N2mpQwMb1\nH9CcGihcxnS3cN7hNRyZeh0Hrf7PTiigbe1v2Ob32XeTG+Tz3xsVx46CG2kah793DacXtiOpwwhJ\nBoPBYDCcEqMuJCmlLkaEpPNDbaO1fhKr9G3p0qV6xYoVQzqGsrIyhrrPsYg5z7HOCjjxW4r3Pwto\niI7l3AIvlK4IuUfYc31/BwAKLyu23CfOBrfLZPPkoGVjSkVTlBlHkbvf8tXQcZKEjpPkdR6AxbfD\n3lekzCVtMlFdrQG5P/YN8rklU2DqOVCxEZJzIX0KbP0dbICZ/3A3/N+fOSO5lTNWrJDyobLqMK+R\nkuPZLo3XH5JziIpBeXvIXn47K5a6xn0iG8ofAGDOwmXMmRvitWr5A+zYGfhaNp+Et3rJOetaeHUz\nczJ6mbNihbwe7/24zx0T31lNyb4fUzJ3rvMa//qnkFLAWZffAVGum5V1e+HQL7no7AXimHrjmzDn\ncihcIu9naRGUbYAL/x8xK/8DgFj7PbDPF4i+8lFKFt1OidbwQSXMu9Z3/FtzKMhMgpoeCqbNoiCS\nz0RFMux8hLNm5cJsv+2PPwk9U32PEeoaSpsc+rpcK0Jcfu9x8gf6OQ15zUaxouwaccvY18Yacdac\nt/0/xO3jl6mlgJLK1ZTc/EBkx357PQBRupeLSosg2xZbVsAfa2HTz2U1Jp7oq35ASelNlCCf0ZK9\nvwW/nK8oegMMd1H0ymxr3d1ET15Myc0PUOI/jq01sBWWnHsx5JwR+jVJyoHWapaUzodp5wWez7bf\nA16KLrmLoqnnSFvjKhJ3/okVF17oe836sALK50rgvbcb0qYQvep+mupyx+nvXcPpRLyrtK3LZCQZ\nDAaDwTBoRvUbVClVCjwFXK21rh3NsRgMo075aqjbR9/dZW/X4GZ/svt6w1XuEyxLJlTActpk39K2\n8tXwx/t8+/rwl7J/fzPJgYhNPV0SBvznL0lb9W5xSGXPgoJFULlF2v/+76H7Sch0jld6k/x8eRus\n+DdnBjn3jG3gW9oWyaxt2u/O3g6YTi2E3Llw0po7oL8Sq85m2PsqlFwVeEOekCHLtjqZHe+d78Dz\nN8CjJVxUdg38aBmoGFhyp+9+9vl+7Deybod4t1RBR4OTj+RzTg2RZSTZ2H3WHwosxTq5zbdcEiIL\n6XZjCY490YlQs8cJjg5G7f7A92PV/RII7Y92zd730r3wh89LPhVIW6hw88ZjzuP+ZpKr2gm296dm\nr+9zSTmSU7bss1ICOfsjfscZQF5StxVC3nQs+PN2CaadkRTqPbCvn1ClbQfeknLPyWc5bUXnyTVT\nvTP8GM+8Ucrwzr7H+TwaDOOAeLcjyczaZjAYDAbDoBm1b1Cl1FTgBeAOrfWe0RqHwTBmeP0hJ/ja\nZjCzP9l99Zcl48paEqePFbCcN98Rknq6JO+op5++wk0Z3ngUjn4g2S7734SWarlRzZwh7ovoWBEp\nHkyHtT+G7DkBN8Ya4NKvB+9/3rXOY38hKTHTeRwqbLt8NWx4WtwV/rOA9QlJkyTDqmqHdU6hApYt\nZ8jeV+QGvuTqwG3sMbXXOZlL7XXQdAyFlvyoKODwe8GPMXUZfXk/5avhCctt8s53fMcenyaOKnT/\ns7bZJGVL1tXeVwNDrRuOBF6f9jVkizvBQrrdWK9bbdZZ0u/x8uDb1eyDHyyxXDN+xytc6qyr6MB9\nvd0iwkaCLTTWH4L/LoQ9r4TetmqnOOsgMCep/pB8BuZcIcfe/6bv8+E+H/7Y5Y5Nx4PPLuefkRTq\nczzbmusiVNh2y0lxB0a5XsOic2V5eE34MbachO5WyCqO6JQMhrFCQqwpbTMYDAaDYSgYtm9QpdSv\ngPeB2UqpCqXUp5VSn1VKfdba5H4gC/iRUmqLUmrDcI3FYBgXDNXsTwPpy3a5uJ0+KfmOgPLmN0O7\njdx9hXJFxCTIdntfFQeS7oXtL4ojKWeOCB/7XrN2sNwnDYdhwa3OjTHQlHIGLP548HHkzIbceSJI\npfrNdhbtcRxAwYQkO9jbdnk0Vfg6t9xT3vd2Q2u1CF4qzK/O2v0y415yvsy650+CLSTVQ1WI8O7e\n7tACYkIG5JbAthdkrK1WKWBrte/Y49OguVIeeyII2waZ8S6jSESsgJwqHXymtdKbxNUy7YL+3SmW\n0FadYwkWduD2n74E7zzibHdkjRzv0Duh+5p+obh/ToWSq2R5bKOIpa/eH9yZ1NMlDqqp58oMiLV+\njqT6gxLqPfUccfns+Zvv88E+H1GeQHeVJwFik+Wxt1tmYPOno0n2c/cX7HMcHSfPhXIktTcEBtCn\nF8lnqD8hqXa/LLNmhN/OYBhj2GHbHd1eU9pmMBgMBsMpMJyztn1Maz1Ja+3RWk/WWv9Ma/2E1voJ\n6/nPaK0ztNYLrZ+l/fVpMExoIp39abj7SskXh0x3h4gVMfH99xXKFZFVLELSvtdg2vki+Gz5hdyI\n5syxZv3yc0z0tIujx74x/twatp35n+HHvOJf4dwv+LorQEQVu3zq6csCywT7c241HRfR6MDbIg4B\noAPydgB5nVQ0/Phc2PlHKa3a9rvA7dylbeFmgQsnIBadK/uGG3t8miMCRupIAhET/J1HNrYbxp+E\nTDmf/rBmbGtOKYbUySIkHSiDjc/A+p85pWxH18myIsj/F+zZ8FprBvbZSMh0rk9bcLSX1ZYptnon\n/G+x78xqAHX7pXwyd65c0zVBHEkZ00S4LL7EJY5alN4Eq1yOuqRsuOZHsPRTTpv9menpgAxrprlg\n5W2dzRCXIqJfOGJsIak7+PMdjYHlnkqJWHbk/cCyQjd1lpCUOTP8GAyGMYYdtt3eZUrbDAaDwWA4\nFcw3qMEwVhho3sxw9WXn4Oz9uzhISm+JrK9groi0yeL2qNoBxZeKe+j4FhFiNjwdNCQY8BVR8ubR\nHZsafswlV8ElfqHJttvIzk9qOhaYE9Wfc6v5OCTlijMr3DTqaVNg4W0iOvVY23W1BM+48i9t85/y\nva/PMCLJ1HMJSGr2H7vbgRVpRhKIIynoPGBhxpSYETqHyH9sKpqu2EwRU3a8CP9nlf81HYO6A/K4\nQoKtqdrhm6PU3eG4xFprQjt9on1nw8OTAB952Lk+v7JDBD37tareJU4jlHUe2jdXrMrKDMqdC9nF\nvqVtHU3QVuuIPzmzpfSrx+96cbt3Vv6nfD7sTCqAL6yX0riedsg/03pNjge+hp1NTllbOOzryn8c\nfeNuCO7SK1our3H9wdB91+6X1zltSv/jMBjGEH0ZST2mtM1gMBgMhlPBfIMaDGOFUK6ewQTZnkpf\nKZNkue6n4rC55IHB95U+xSm90r2w+6/Oc+11DFiwGAiR5ET159xqPi75SOHcQZ9+VQSKva9IOVK4\n44GULkXFiIOnaqeUvw1U9CtaHvo5e+xusSE2wtI2sMQN7ZRG+YwpxAxnCZnhA9dtGisgtZCc6nfh\n5PbAMrJ3HpWSq+pd8rpoLxzb5NrfEh7TpkjZ1/wbfDOaknLE6XOJy/0T6npNm+L0V7PHCuf2E+fs\n969qp3wWsmbJT2uVUw5pCy4Z02SZnCfLVr/ZB+18LZQT8u12HLWcdErZ8ksDn7fpaHKCtsNhC0kD\nKW0Dx3X22KLAzDCbuv2WA2vUJ341GAZEvMuR1NnjJS4mSM6awWAwGAyGfjF/BRoMYwl7NrLR7Mu+\nET70Dky/SBw0g+2rzTUZ4+vfCFISphExyXUDP1gXlj+R5EStul9cJz6Ck4KLvyYPm09A+lRIqwnt\nnpq0MPLjgZQPJWSKeNHRAHM+CovvgNcfQjdWoOwp7MO93qkFcMFX4f3HfcvQ3K/doB1J02SZMxtO\nlCPiYT9jSsiQcXS1hS+jazwKaZOZceC5QNENYPvvYb4Vnn7O5ySkvWI9zLhI2uqtsrbCJdZsbPUy\ng9ifvijOs8v+B868QVxwAB/7deAMajZpU8QB1dsjDqNQAd2NFSICZc0ET7zMNAhS3jZ5iZS1gWQk\ngfP5aTnpK1Se3CEirYpyrgn3tdF8EmIs8Sd3johjTZWB4+lsgrgQwfFu7NK2YGHbPZ3ifPIvbStf\nDW897Kzbrizwfe9r98vrYTCMM5yMpF66enqJM44kg8FgMBgGhfkGNRgMvhxd7zw+/mFwR0IklK+G\nnX9y1oPlCskTQ+PC8ieSnCh/51Zitoyn1XKGNFXKzX+wEiqlIOsM5+Z/ILlUiZmSQwMi2FhlgW+t\neCny6dRX3Q9X/SD0a+d2mwwkIynDKrc6UQ5TlvmWKobCXa4XDktIiusMEiINIugdXSdiS/Eqcf+4\nc5LsfKTJVqReW42UvnW3Wce3XFFt1tIONg9GuuVIqj8kIlKobT2JEp5ds0ccOnZZmx24XefvSMqV\nZUuVbz9VOyQkPW2yI0o2HbOuOSxHkiW8JuVASkFwIWkoHEm2m8rfkRSJi8/rFQHOzNhmGIfERkcR\npaywbZORZDAYDAbDoDHfoAaDwaF8Nbz67856R0PwnJ9ICBakHYy0KYHZSkNBpDlR7mynf94v+UNb\nfiF5PO11IiT5CE5YM9DhzPo1kOOBOHhs0SN37uDPMVgulY2PI2mgpW0Wsy+PbB9bhPEP3O5shp+u\ngiMfSBlbUyWkTaYzLjt0Xx/+SgSXuBSYcjZUrHOCnxsOS8ld3jxZb60WAcbGPr4taCWGEZLSpkg5\nW4UV7L3snsD3D2Saeztnq/GoOOsAXrxHhKV9r8v526+37UhqPuH00dsjMxXmzpWAb7tkralS3FUg\n59FqCUmJWeI6Cxq23RhZRlI4R1J7gyz9haRIXHXNleI+yzQzthnGH0opEjzRtHf3mlnbDAaDwWA4\nBcw3qMFgcIjEkRAp4XKFbIaqjC0Yg82Jmn+9ZPTsf13WUyc5/X15G9zwtDXtvJbZ0wZzPFt4iU9z\nhIehxi0kDcSRFJcsQgZI2V0khHIkVW6BYxvggx+LsOLtgfQpHJhxRxCHl1Vp3XBEcods8bKtFr6e\nIaLNwXfFSZRkuX5aq53wbffx2yNwJNlOMXuGtXPuDXz/gu3vLslrPAqH3/UVdpJyZOl2JNUdEGdQ\n3jzLkXRMBJ7mEzCpVPKXmk84jqTELLnuTsWRFBUj5xFMzO2whCT/0rZIXHW11oxtprRt1FFKTVFK\nvamU2qGU2q6U+mKQbW5TSpUrpbYqpdYopRa4nvuytd82pdSvlFIhpuicWMR7omnt7MGrMY4kg8Fg\nMBgGiclIMhgMDpHm/ESCu4THjYoWISaSLKBTZTDZTvOuhZf/Bdb8QNbtWexsZn9UMmq6mmHy2YM7\nXkKGLHPm9j+N+2AZrCMJxG2SkOnkAfWHfT7+gdsnt8ty98uw6HZ5nDaFqrwZlMydKwJlY4Xs39UC\ndvVjVyu8dK+rI2sWtaYKec1ssaa1Rtw+IC4xW4hps4Lc/YUSN+mWu2z/G1JGFp8a+P49GGb/vqF5\nodXlioqJldfO7ZSyg7Zz54pLq7cTTm6lr6wzOdfZXkWLUyi1EHb/TdxY9jWitewfiSNJKXElDaS0\nLVhmmL/YW2cJSZlGSBoD9ABf1VpvUkqlABuVUq9qrXe4tjkIXKS1rldKfQR4ElimlCoE7gNKtNbt\nSqnVwC3AsyN8DiNOvCeapg4RhI2QZDAYDAbD4DDfoAaDwWEgOT/9EarU69onhr6MbShJyoacOU6G\n0Uuf9y3t88TDufdCydWROUP8KV8NO/8gj09sHXwGVX8M1pEEcMX34MZnI98+VGnbya3ijOnthPd/\nKG32teQuy4tNCnTOeLsDA7m1lvI22zHVWgMtVglZ5gzf0rb4NIgKMyNT2lRr23rIOSPENhFe9/4u\nvpT8QCFJRcl1Zfd51CqpSy10hKS2GnF3RUVJaVtPu684190mWWNxKZGNKzq2n9I2v9DuPledPfNf\nSqCrrnY/xMTLuA2jitb6uNZ6k/W4GdgJFPpts0ZrbV9EHwDuizoGSFBKxQCJQBAL3MQj3hNFY7sl\nJJnSNoPBYDAYBoVxJBkMBodIHAmRYt982q6TkXAgDQXlq50gZRChwn/mqhX/Ovi+3a9vd2vwWbGG\ngj6RQMmN/0DInz+w7UOVtp3cDkXLoWoXHCiTtuevJ7fwZmCFs91AHG9drTLtfEKGCC9dLRCTIGHX\nbkdSuHwkEMEwJl7yfrJnB98m6Kx+QbAdWTbJub6lbVU7ROjyJLiEpLWyTCuE5Hwp0YuJc0Sy1AJZ\nNh93zqWjSZaRCpjRsSEcSSFK28BxZT1xvpRd+l+XlVvEqRZlbsDHEkqpacAiYG2YzT4NvAygtT6m\nlPoOcARoB17RWr8Sou+7gbsB8vLyKCsrG7JxA7S0tAx5n+Ho6WznWJV8pg8d2EdZz+EROe5In+do\nYc5z4nG6nKs5z4mFOc/hxwhJBoPBYajFn8GUlo02wULC7ZyoUz2XcBlUQ/06eRIgyiPixHCVz9nE\nxEn5XJvLPePthaqdUHSBr8DUdIzZLY9D+VznnEOVQQbDFlqSciQjKcojDqCETKixBMD2uvD5SABb\nf+uEaG9dLTPB+b8H/p+HvhI89/Wh4EDmkSgAABgdSURBVIKv+u6XnOc42gBO7oC8EnmcaglJR6z7\nfduRdPxDiHXlU9mOnw9/DdtflOPbeVqRlLaBvC8DcSS5yS2BQ+/6trVUwZE1cOH/F9nxDSOCUioZ\n+D3wJa11U4htLkaEpPOt9QzgamA60AD8Vil1u9b6ef99tdZPIiVxLF26VK9YsWJIx19WVsZQ9xmO\nnJ1rqGruBNqYXzKHFUunjMhxR/o8RwtznhOP0+VczXlOLMx5Dj9GSDIYDL6MR/FnKBnKnKiR7Nsf\npcS5osKUdw0l7pnoQAKmezqgcqMj2FhEezt9xbNgzp8oj5yDv6i37B5ZJuVIaRtKhKTETOf4bXUi\nzoTCdobZ42qvD+0M8/88lK/uX2i1HUlaE9XbJeHh86+X5xIzxUHVXAmxKfIepeRDa5UEnefagpPl\nSFr7Y+i1SvzsMr7jH8KZN4Q+P5vo2NBh2zEJzsxuwcidC+W/EdHJdi7t/KNkQpVc0/+xDSOCUsqD\niEi/0Fq/EGKbUuAp4CNaa8u2xyXAQa11tbXNC8ByIEBImmgkxEb3lbbFmYwkg8FgMBgGhfkGNRgM\nBjdDmRM1kn0HIz5t4PlIgyUxw9d5dHKbLP0DuG3c4lmwGe+u+RFc/bjTZucdLf2MdbwsJyMpOU/W\nO5vEgdOfI+lUZid0ZzuFyvlKzhMRrbOJhPZKEV9yrPI5paScDZxlcp5sU3fQcSTZ7qNev5woEIEn\nEkKGbTeEDyIHyJ0ny6qdTtv2lyD7DBGZDKOOUkoBPwN2aq0fDbHNVOAF4A6t9R7XU0eAc5RSiVY/\nq5CMpQlPvCea5g6TkWQwGAwGw6lgHEkGg8HgZihzokay72DEpwUvbRoOEjJ9w7ZPbhc3VMokmW3N\nH3/xLJQTzm47ul5Cyu28oKQcKb3q7YbiS31njmurD5+RNNzOsGRrpr+WKhLbrJK9HFcOU9pkqN3n\nlK/ZopHudYSkaE/o/t35S+GI9oQubfOfsc0fWyyq2iFlh689AE2VUla39bent2tx7HAecAewVSm1\nxWr7GjAVQGv9BHA/kAX8SPQierTWS7XWa5VSvwM2IbO/bcYqX5voxHui8Wp5bGZtMxgMBoNhcBgh\nyWAwGNwMZ0j4SAeQpxbKTF8jQWKmzEJnc3K7uFcu+EqAeNYbFUf0QMWzKWfJj01StuOASslzhKOW\nk9DVHN6RFCqTaaicYXZZXcvJ/7+9e4+yq6oPOP79ZfIOMUBCRyTBAAY0ahRXFlp8UakKVsRqRcBa\npbJYWFGsXa20rqqlrj5stZViZaHio4JKfRW76gPRoK4IKBjCSySJCBODENBgBILBX/84ZzI3w9zJ\nzcw9c+ee8/2sddc9Z98z5+5f9r1zdn6z9z4s+PUQELD4CY9+n+ERSQsfO/LagiUtxy2bXD0H2o1I\n2rbnEUmLlhZT727+MgxdNdJ+O+6vboF47ZXM/C4w7gJomXk6cHqb194FvKuCqk1r82aNJI9MJEmS\nNDEmkiRptCrXiZrKNahOOK+YMjUV5u2/+zS2u26EZUeNmTy79XGvYuVk/w0WHDCyvfDAkcTRfRuL\n5/n7PfpnhlU9Mmx4hNGv7ipGJO23vDj/sOEFt3eNSGpZz2l4RFI36tluse2Hfjny3u1EFKOS7lj7\n6GRUVQvES1Ng7qyRdeOc2iZJ0sSYSJKkulqweM/HdMvwYtvXfxau+Du4fzPs2FYsTj0qeXb3mjWs\nnOz7tY7c2adlRNLWDWV9xhmRVPXIsF0jku5m/gNDcNCoNYUWjU4kDY681ppImmw9B2YXd5kb7cFt\nI2sgjWdwJQxdM/ZrVSwQL02Bea2JJEckSZI0ISaSJEmTN3//YvTTl8+GneUImoe2VTcNan5LImnh\ngTB7QbF974aR+oynypFh8/Yr7jp3/2bmP7AZDhh1l7P9Dy2fDymeZ82DOYuKxNv8Ucm/idZz/aVw\nx/eKRb//7Sm7J6A6WWwbRu4gN5aqFoiXKjbHRJIkSZPmFVSSNHnDI4B2TvBuaHtrt6ltgyMJmHs7\nGJFUtYhilNGd1zAjd8KSI3Z//fFHw2lfgcc/e6RsYTkqaXQiaSLWX1ok8HY+VOxvu7PYX38p/PaR\nYp2juYv2fJ4nvhSWHlVMkWtV5QLxUsVaRyTNMZEkSdKEeAWVJE3eRO6SNhnDU9tmzi3uQDZ7frF9\n7217rs9UWDgIP7uu2D5gVCIpokgmRcs6yft0MZF0xbm7r6sEIwm9h7YV+3u6axsUi4Gffjm87Pxi\n4W+ieD7hPNdHUt+a27rY9sDAOEdKkqR2nNomSZq8eeMsbl3FNKh5+0HMKBIwwwmZefvDr342st1L\n+wzCb3cW20sO7+z4WfOLhNhktUvcbRsqprVBZ1Pbhk3lAvFSxVwjSZKkyTORJEmavOHETQxAPjJS\nXtU0qBkDxeidhY8dKZtfJpJmzu1OQmYyygW3d8xezJy5j9nz8U99Fez3+O6896KlxXS2scr3ZkSS\nVEPzZptIkiRpsryCSpImb7epZMGUTINacjgc8MSR/eFRUb0ejQTw660AzH743mKx6/WXjn/8Ecd1\nL+F27DuLBF6r4YTeg+WIpE7WSJJqaM5ME0mSJE2WI5IkSZM3dxEQxWikJ78CXvWx6t/z1EthRstl\nbDiZ1ev1kdZfCrd9DShSarsWu4apmSI2/B5XnFu8dwyMJPRu+mLx2t5MbZNqZLcRSQMmkiRJmgiv\noJKkyZsxMDLK5fDjpuY95+wDs+aO7A8vVD3eek1T4Ypz4ZHf7F5W1d3r2ll1Evz5jXDCB4rk3uBT\nivJdI5JMJKmZ5pajkCJg1kDs4WhJkjQWE0mSpO6Yv3+xAPaKF/bm/edNkxFJ4y12PdVWvKh4LkdI\njayR5NQ2NdPwiKTZAzOIMJEkSdJEmEiSJHXHvgfD8uf2LpEz/L69XiOp3V3qqrh73Z485nHw2KfC\nj79e7D/0y2I64OwFU18XaRqYW961zfWRJEmauMquohFxUUTcHRE3tnk9IuK8iNgQEesj4hlV1UWS\nNAVeeRG86uO9e//pMiJpvMWue2HFi+HOq+GB+4qpbXP3Leb1SA00r0wkzTGRJEnShFV5Ff04MN5C\nGccDK8rHGcCHKqyLJKlqCxb3NokzXUYkrTqpWNx60TJyKu5etycrX1ask3T9p4upbS60rQbbNSLJ\nhbYlSZqwyu7alpnfjojl4xxyIvDJzEzgqojYNyIOzMwtVdVJklRj02VEEhRJo1UnceWaNRxzzDG9\nrcuBT4ODj4arLoD9D3F9JDXa3FlFAsmpbZIkTVxliaQOHATc2bI/VJY9KpEUEWdQjFpicHCQNWvW\ndLUi27dv7/o5pyPjrJ+mxGqc9VJVnDMeeYgnHnA0G++ayY5p8u84Xdp08WOO4al3/AO57Q4Advzj\nE9h06Gu5e/D5XTn/dIlT2hPXSJIkafJ6mUjqWGZeCFwIsHr16uz2X3fXTIe/GE8B46yfpsRqnPVS\naZzHHsfvVHPmCZk2bXr9XXBjECQAc3fcw8oNH2Llk57UlSl30yZOaQ9mDcxg5owwkSRJ0iT08iq6\nGVjWsr+0LJMkSd30zfdAmUTa5TcPwhXn9qQ6Ui/NmzXgGkmSJE1CL6+ilwF/Ut697VnANtdHkiSp\nAtuG9q5cqqELrtzI2o1bmTNrYNeIpLUbt3LBlRt7XDNJkvpLZYmkiPg08D3giIgYiog3RMSZEXFm\necj/AZuADcCHgT+rqi6SJDXaoqV7Vy7V0Kqlizjrkh8SkcyeOcDajVs565IfsmqpC9BLkrQ3qrxr\n2yl7eD2BN1X1/pIkqXTsO+HLbymmsw2bNa8olxri6MOWcP6pR/Laj1zD0C8e4KxLfsj5px7J0Yct\n6XXVJEnqK04QlySp7ladBCecB4uWAVE8n3BeVxbalvrJ0Yct4eVHPo5N9/yaP37mwSaRJEmagL64\na5skSZqkVSeZOFLjrd24lW/deg9vecET+NTVd/CswxabTJIkaS85IkmSJEm1N7wm0vmnHsnbXnQE\n5596JGdd8kPWbtza66pJktRXTCRJkiSp9tYPbdttTaThNZPWD23rcc0kSeovTm2TJElS7Z35/MMe\nVXb0YUuc2iZJ0l5yRJIkSZIkSZI6YiJJkiRJkiRJHTGRJEmSJEmSpI6YSJIkSeozEbEsIr4VETdH\nxE0RcfYYx7wmItZHxA0RsTYintby2r4R8bmI+FFE3BIRvzu1EUiSpH7lYtuSJEn9ZyfwF5l5XUQs\nBK6NiMsz8+aWY34CPD8zfxERxwMXAs8sX/sA8NXM/KOImA3Mn9LaS5KkvmUiSZIkqc9k5hZgS7n9\nq4i4BTgIuLnlmLUtP3IVsBQgIhYBzwNeXx73MPDwlFRckiT1PRNJkiRJfSwilgNHAlePc9gbgK+U\n24cA9wAfK6e7XQucnZm/HuPcZwBnAAwODrJmzZqu1Rtg+/btXT/ndGSc9dKUOKE5sRpnvRhn9Uwk\nSZIk9amI2Af4PPDWzLy/zTG/R5FIek5ZNBN4BvDmzLw6Ij4AnAP87eifzcwLKabEsXr16jzmmGO6\nWv81a9bQ7XNOR8ZZL02JE5oTq3HWi3FWz8W2JUmS+lBEzKJIIl2cmV9oc8wq4CPAiZl5b1k8BAxl\n5vAIps9RJJYkSZL2yESSJElSn4mIAD4K3JKZ729zzMHAF4DXZuaPh8sz8y7gzog4oiw6lpa1lSRJ\nksbj1DZJkqT+82zgtcANEbGuLPsb4GCAzLwAeCewGPjPIu/EzsxcXR77ZuDi8o5tm4DTprDukiSp\nj5lIkiRJ6jOZ+V0g9nDM6cDpbV5bB6we6zVJkqTxOLVNkiRJkiRJHTGRJEmSJEmSpI6YSJIkSZIk\nSVJHTCRJkiRJkiSpIyaSJEmSJEmS1BETSZIkSZIkSeqIiSRJkiRJkiR1xESSJEmSJEmSOmIiSZIk\nSZIkSR0xkSRJkiRJkqSOVJpIiojjIuLWiNgQEeeM8fqiiPhyRFwfETdFxGlV1keSJEmSJEkTV1ki\nKSIGgA8CxwMrgVMiYuWow94E3JyZTwOOAd4XEbOrqpMkSZIkSZImrsoRSUcBGzJzU2Y+DHwGOHHU\nMQksjIgA9gHuA3ZWWCdJkiRJkiRN0MwKz30QcGfL/hDwzFHHnA9cBvwMWAi8OjN/O/pEEXEGcEa5\nuz0ibu1yXZcAW7t8zunIOOunKbEaZ700JU5oTqzdjvPxXTyXuuTaa6/dGhE/7fJp/Y7Ui3HWT1Ni\nNc56Mc6J66gPVmUiqRMvBtYBLwAOAy6PiO9k5v2tB2XmhcCFVVUiIn6QmaurOv90YZz105RYjbNe\nmhInNCfWpsTZdJl5QLfP2ZTPjnHWS1PihObEapz1YpzVq3Jq22ZgWcv+0rKs1WnAF7KwAfgJ8MQK\n6yRJkiRJkqQJqjKR9H1gRUQcUi6gfTLFNLZWdwDHAkTEIHAEsKnCOkmSJEmSJGmCKpvalpk7I+Is\n4GvAAHBRZt4UEWeWr18A/D3w8Yi4AQjg7ZnZi7mMlU2bm2aMs36aEqtx1ktT4oTmxNqUONV9Tfns\nGGe9NCVOaE6sxlkvxlmxyMxevbckSZIkSZL6SJVT2yRJkiRJklQjJpIkSZIkSZLUkUYnkiLiuIi4\nNSI2RMQ5va5PN0XEsoj4VkTcHBE3RcTZZfm7I2JzRKwrHy/pdV0nKyJuj4gbynh+UJbtHxGXR8Rt\n5fN+va7nZETEES1tti4i7o+It9ahPSPiooi4OyJubClr234R8dfld/bWiHhxb2o9MW1i/ZeI+FFE\nrI+IL0bEvmX58oh4sKVtL+hdzfdOmzjbflb7tU3bxPnZlhhvj4h1ZXk/t2e760ktv6eaGnXtgzWp\n/wX2wfq9TZvSB2tK/wvsg9kHm7o2bewaSRExAPwYeCEwRHGXuVMy8+aeVqxLIuJA4MDMvC4iFgLX\nAi8HTgK2Z+a/9rSCXRQRtwOrWxdqj4j3Avdl5j+VHdT9MvPtvapjN5Wf3c3AM4HT6PP2jIjnAduB\nT2bmU8qyMdsvIlYCnwaOAh4HfAM4PDMf6VH190qbWF8EfLO8QcE/A5SxLgf+d/i4ftImznczxme1\nn9t0rDhHvf4+YFtmntvn7dnuevJ6avg9VfXq3AdrUv8L7IPR523alD5YU/pfYB+s5XX7YBW3aZNH\nJB0FbMjMTZn5MPAZ4MQe16lrMnNLZl5Xbv8KuAU4qLe1mlInAp8otz9B8YWri2OBjZn5015XpBsy\n89vAfaOK27XficBnMnNHZv4E2EDxXe4LY8WamV/PzJ3l7lXA0imvWJe1adN2+rZNx4szIoLiP46f\nntJKVWCc60ktv6eaErXtg9n/AuyD9Y2m9MGa0v8C+2BgH4wpatMmJ5IOAu5s2R+iphf6Mgt7JHB1\nWfTmchjnRdHnw41LCXwjIq6NiDPKssHM3FJu3wUM9qZqlTiZ3X8x1q09oX371f17+6fAV1r2DymH\n4F4ZEc/tVaW6aKzPal3b9LnAzzPztpayvm/PUdeTpn5PNXmN+Iw0oP8F9sHq2KZN/N1e9/4X2Afr\n+zadbn2wJieSGiEi9gE+D7w1M+8HPgQcCjwd2AK8r4fV65bnZObTgeOBN5VDHXfJYv5mLeZwRsRs\n4GXAf5dFdWzP3dSp/cYTEe8AdgIXl0VbgIPLz/bbgEsi4jG9ql8X1P6zOsop7P6fjb5vzzGuJ7s0\n5Xsqdaoh/S+wD1bHNt2lTu3XTgP6X9CAz+oo9sGmQJMTSZuBZS37S8uy2oiIWRQfuIsz8wsAmfnz\nzHwkM38LfJg+Gb44nszcXD7fDXyRIqafl3NKh+eW3t27GnbV8cB1mflzqGd7ltq1Xy2/txHxeuCl\nwGvKiwHlkNR7y+1rgY3A4T2r5CSN81mtXZtGxEzgFcBnh8v6vT3Hup7QsO+puqrWn5Gm9L/APlgd\n25QG/W5vQv8L7IP1e5tO1z5YkxNJ3wdWRMQh5V8YTgYu63GduqacG/pR4JbMfH9L+YEth/0hcOPo\nn+0nEbGgXHiMiFgAvIgipsuA15WHvQ74n97UsOt2y7DXrT1btGu/y4CTI2JORBwCrACu6UH9uiYi\njgP+CnhZZj7QUn5AuagnEXEoRaybelPLyRvns1q7NgV+H/hRZg4NF/Rze7a7ntCg76m6rrZ9sKb0\nv8A+WB3btNSI3+1N6X+BfbB+btNp3QfLzMY+gJdQ3DVkI/COXteny7E9h2KI23pgXfl4CfBfwA1l\n+WUUq8D3vL6TiPNQ4PrycdNwOwKLgSuA2yhWq9+/13XtQqwLgHuBRS1lfd+eFJ2yLcBvKObxvmG8\n9gPeUX5nbwWO73X9uxDrBoq5zMPf0wvKY19ZfqbXAdcBJ/S6/pOMs+1ntV/bdKw4y/KPA2eOOraf\n27Pd9aSW31MfU/Ooax+sKf2vMlb7YH3epk3pgzWl/zVOrPbB+rRNp3MfLMo3kyRJkiRJksbV5Klt\nkiRJkiRJ2gsmkiRJkiRJktQRE0mSJEmSJEnqiIkkSZIkSZIkdcREkiRJkiRJkjpiIklSpSLikYhY\n1/I4p4vnXh4RN3brfJIkSXVhH0xSVWb2ugKSau/BzHx6ryshSZLUMPbBJFXCEUmSeiIibo+I90bE\nDRFxTUQ8oSxfHhHfjIj1EXFFRBxclg9GxBcj4vrycXR5qoGI+HBE3BQRX4+IeeXxb4mIm8vzfKZH\nYUqSJE0r9sEkTZaJJElVmzdqWPWrW17blplPBc4H/r0s+w/gE5m5CrgYOK8sPw+4MjOfBjwDuKks\nXwF8MDOfDPwSeGVZfg5wZHmeM6sKTpIkaZqyDyapEpGZva6DpBqLiO2Zuc8Y5bcDL8jMTRExC7gr\nMxdHxFbgwMz8TVm+JTOXRMQ9wNLM3NFyjuXA5Zm5otx/OzArM98TEV8FtgNfAr6UmdsrDlWSJGna\nsA8mqSqOSJLUS9lme2/saNl+hJG13/4A+CDFX86+HxGuCSdJklSwDyZpwkwkSeqlV7c8f6/cXguc\nXG6/BvhOuX0F8EaAiBiIiEXtThoRM4Blmfkt4O3AIuBRf5GTJElqKPtgkibM7LCkqs2LiHUt+1/N\nzOHbz+4XEesp/qJ1Sln2ZuBjEfGXwD3AaWX52cCFEfEGir96vRHY0uY9B4BPlR2dAM7LzF92LSJJ\nkqTpzz6YpEq4RpKknijn56/OzK29roskSVJT2AeTNFlObZMkSZIkSVJHHJEkSZIkSZKkjjgiSZIk\nSZIkSR0xkSRJkiRJkqSOmEiSJEmSJElSR0wkSZIkSZIkqSMmkiRJkiRJktSR/wdW/J6KxKJbwAAA\nAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "f, axarr = plt.subplots(2, 2, figsize=(20, 12))\n", "for key in markers.keys():\n", " axarr[0, 0].plot(epoch_list[1:], train_errors[key][1:], marker=markers[key], markevery=2, label=key)\n", "axarr[0, 0].set_ylabel('Train - Total Error')\n", "axarr[0, 0].set_xlabel('Epochs')\n", "axarr[0, 0].grid(True)\n", "axarr[0, 0].set_title('Train Error')\n", "axarr[0, 0].legend(loc='upper right')\n", "\n", "for key in markers.keys():\n", " axarr[0, 1].plot(epoch_list[1:], validation_errors[key][1:], marker=markers[key], markevery=2, label=key)\n", "axarr[0, 1].set_ylabel('Validation - Total Error')\n", "axarr[0, 1].set_xlabel('Epochs')\n", "axarr[0, 1].grid(True)\n", "axarr[0, 1].set_title('Validation Error')\n", "axarr[0, 1].legend(loc='upper right')\n", "\n", "for key in markers.keys():\n", " axarr[1, 0].plot(epoch_list[1:], train_errors[key][1:], marker=markers[key], markevery=2, label=key)\n", "axarr[1, 0].set_ylabel('Train - Total Error')\n", "axarr[1, 0].set_xlabel('Epochs')\n", "axarr[1, 0].grid(True)\n", "axarr[1, 0].set_ylim(0.8, 2.4)\n", "axarr[1, 0].set_title('Train Error (0.8 ~ 2.4)')\n", "axarr[1, 0].legend(loc='upper right')\n", "\n", "for key in markers.keys():\n", " axarr[1, 1].plot(epoch_list[1:], validation_errors[key][1:], marker=markers[key], markevery=2, label=key)\n", "axarr[1, 1].set_ylabel('Validation - Total Error')\n", "axarr[1, 1].set_xlabel('Epochs')\n", "axarr[1, 1].grid(True)\n", "axarr[1, 1].set_ylim(2.25, 2.4)\n", "axarr[1, 1].set_title('Validation Error (2.25 ~ 2.4)')\n", "axarr[1, 1].legend(loc='upper right')\n", "\n", "f.subplots_adjust(hspace=0.3)\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAA4gAAAJdCAYAAABwNFnmAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "f, axarr = plt.subplots(2, 1, figsize=(15,10))\n", "for key in markers.keys():\n", " axarr[0].plot(epoch_list[1:], test_accuracy_values[key][1:], marker=markers[key], markevery=1, label=key)\n", "axarr[0].set_ylabel('Test Accuracy')\n", "axarr[0].set_xlabel('Epochs')\n", "axarr[0].grid(True)\n", "axarr[0].set_title('Test Accuracy')\n", "axarr[0].legend(loc='lower right')\n", "\n", "for key in markers.keys():\n", " axarr[1].plot(epoch_list[1:], test_accuracy_values[key][1:], marker=markers[key], markevery=1, label=key)\n", "axarr[1].set_ylabel('Test Accuracy')\n", "axarr[1].set_xlabel('Epochs')\n", "axarr[1].grid(True)\n", "axarr[1].set_ylim(0.30, 0.50)\n", "axarr[1].set_title('Test Accuracy (0.30 ~ 0.50)')\n", "axarr[1].legend(loc='lower right')\n", "\n", "f.subplots_adjust(hspace=0.3)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "N2, AdaGrad, No_Batch_Norm, No_Weight_Decay, No_dropout - Epoch: 13, Max Test Accuracy: 0.15370\n", "N2, AdaGrad, No_Batch_Norm, No_Weight_Decay, Dropout - Epoch:161, Max Test Accuracy: 0.44620\n" ] } ], "source": [ "for key in markers.keys():\n", " print(\"{0:26s} - Epoch:{1:3d}, Max Test Accuracy: {2:7.5f}\".format(key, max_test_accuracy_epoch[key], max_test_accuracy_value[key]))" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.0" } }, "nbformat": 4, "nbformat_minor": 0 }