{ "cells": [ { "cell_type": "markdown", "metadata": { "collapsed": true, "deletable": true, "editable": true }, "source": [ "# Deep learning and Dogs vs. Cats - Part 1\n", "## Data set https://www.kaggle.com/c/dogs-vs-cats\n", "(the data set should be installed in two directories just above the one where this notebook is located: train and test1)\n", "### http://ricardodeazambuja.com/deep_learning/2017/01/29/easy-peasy_deep_learning/" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/lib/python2.7/site-packages/matplotlib/font_manager.py:273: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment.\n", " warnings.warn('Matplotlib is building the font cache using fc-list. This may take a moment.')\n", "Using Theano backend.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Couldn't import dot_parser, loading of dot files will not be possible.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Using gpu device 0: GeForce GT 750M (CNMeM is enabled with initial size: 20.0% of memory, cuDNN 5005)\n" ] } ], "source": [ "# The package 'os' will be necessary to find the current\n", "# working directory os.getcwd() and also to list all\n", "# files in a directory os.listdir().\n", "import os\n", "\n", "# https://docs.python.org/2/library/multiprocessing.html\n", "from multiprocessing import Pool\n", "\n", "# Only used for the final test\n", "import urllib, cStringIO\n", "\n", "# Yep, I don't like to import numpy as np :P\n", "import numpy\n", "\n", "# As I've explained somewhere, Scipy will help us\n", "# reading (using Pillow) and resizing images.\n", "import scipy.misc\n", "\n", "# Pyplot is what we use for plotting\n", "import matplotlib.pyplot as plt\n", "\n", "\n", "# And here is the Keras stuff:\n", "\n", "# We don't really need this since it would \n", "# be easy do code something like this ourselves\n", "from keras.utils import np_utils\n", "\n", "# https://keras.io/getting-started/sequential-model-guide/\n", "from keras.models import Sequential\n", "\n", "from keras.layers import Dense\n", "from keras.layers import Activation\n", "from keras.layers import Dropout\n", "\n", "# https://keras.io/optimizers/\n", "from keras.optimizers import SGD\n", "from keras.optimizers import Adagrad \n", "\n", "# While the method for saving a model is\n", "# part of the model object, to load we need\n", "# to import something else\n", "from keras.models import load_model" ] }, { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "## 1) Load the data sets" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "# Returns the current working directory\n", "# (where the Python interpreter was called)\n", "path = os.getcwd()\n", "\n", "# The path separator used by the OS:\n", "sep = os.path.sep\n", "\n", "# This is the directory where the training images are located\n", "dirname = \"train\"\n", "\n", "# Generates a list of all images (actualy the filenames) from the training set,\n", "# but it will also include the full path\n", "imagePaths = [path+sep+dirname+sep+filename \n", " for filename in os.listdir(path+sep+dirname)]" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "# To speed up things, I will use parallel computing!\n", "# Pool lets me use its map method and select the number of parallel processes.\n", "\n", "def import_training_set(args):\n", " '''\n", " Reads the image from imagePath, resizes \n", " and returns it together with its label and \n", " original index.\n", "\n", " '''\n", " index,imagePath,new_image_size = args\n", "\n", " # Reads the image\n", " image = scipy.misc.imread(imagePath)\n", "\n", " # Split will literally split a string at that character\n", " # returning a list of strings.\n", " # First we split according to the os.path.sep and keep \n", " # only the last item from the list gererated ([-1]).\n", " # This will give us the filename. \n", " filename = imagePath.split(os.path.sep)[-1]\n", " \n", " # Then we split it again using \".\" \n", " # and extract the first item ([0]):\n", " label = filename.split(\".\")[0]\n", " \n", " # and the second item ([1]):\n", " original_index = filename.split(\".\")[1]\n", "\n", " # Resizes the image (downsampling) to new_image_size and\n", " # converts it to a 1D list (flatten).\n", " input_vector = scipy.misc.imresize(image,new_image_size).flatten()\n", "\n", " return (index,(original_index,label,input_vector))" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 264 ms, sys: 118 ms, total: 382 ms\n", "Wall time: 41.8 s\n" ] } ], "source": [ "%%time\n", "# The size of the resized image.\n", "# After we apply the flatten method, it will become a list of 32x32x3 items (1024x3).\n", "# (Where is the 'x3' coming from? Our images are composed of three colors!)\n", "new_image_size = 32,32\n", "\n", "number_of_parallel_processes = 7\n", "\n", "# When the map is finished, we will receive a list with tuples:\n", "# (index,(original_index,label,input_vector)) => (index,(original_index,'category',1D resized image))\n", "#\n", "# There's no guarantee about the ordering because they are running in parallel.\n", "ans = Pool(number_of_parallel_processes).map(import_training_set,[(i,img,new_image_size) \n", " for i,img in enumerate(imagePaths)])" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "# Because import_training_set returns a tuple like this:\n", "# (index,(original_index,label,input_vector))\n", "# and index is unique, we can convert to a dictionary\n", "# to solve our problem with unordered items:\n", "training_set = dict(ans)\n", "\n", "# Gives a hint to the garbage collector...\n", "del ans" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "data": { "text/plain": [ "25000" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Let's verify if we loaded all images:\n", "len(training_set)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "data": { "text/plain": [ "(('0', 'cat', array([211, 172, 94, ..., 3, 3, 0], dtype=uint8)),\n", " ('9999', 'dog', array([249, 243, 235, ..., 254, 254, 254], dtype=uint8)))" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# And now test to see what is inside:\n", "training_set[0],training_set[24999]" ] }, { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "## 2) Prepare the data set for Keras" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "# Let's imagine we don't know how many different labels we have.\n", "# (we know, they are 'cat' and 'dog'...)\n", "# A Python set can help us to create a list of unique labels.\n", "# (i[0]=>filename index, i[1]=>label, i[2]=>1D vector)\n", "unique_labels = set([i[1] for i in training_set.values()])\n", "\n", "# With a list of unique labels, we will generate a dictionary\n", "# to convert from a label (string) to a index (integer):\n", "labels2int = {j:i for i,j in enumerate(unique_labels)}\n", "\n", "\n", "# Creates a list with labels (ordered according to the dictionary index)\n", "labels = [labels2int[i[1]] for i in training_set.values()]" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "# Instead of '1' and '0', the function below will transform our labels\n", "# into vectors [0.,1.] and [1.,0.]:\n", "labels = np_utils.to_categorical(labels, 2)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "# First, we will create a numpy array going from zero to len(training_set):\n", "# (dtype=int guarantees they are integers)\n", "random_selection = numpy.arange(len(training_set),dtype=int)\n", "\n", "# Then we create a random state object with our seed:\n", "# (the seed is useful to be able to reproduce our experiment later)\n", "seed = 12345\n", "rnd = numpy.random.RandomState(seed)\n", "\n", "# Finally we shuffle the random_selection array:\n", "rnd.shuffle(random_selection)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "test_size=0.25 # we will use 25% for testing purposes\n", "\n", "# Breaking the code below to make it easier to understand:\n", "# => training_set[i][-1]\n", "# Returns the 1D vector from item 'i'.\n", "# => training_set[i][-1]/255.0\n", "# Normalizes the input values from 0. to 1.\n", "# => random_selection[:int(len(training_set)*(1-test_size))]\n", "# Gives us the first (1-test_size)*100% of the shuffled items\n", "trainData = [training_set[i][-1]/255.0 for i in random_selection[:int(len(training_set)*(1-test_size))]]\n", "trainData = numpy.array(trainData)\n", "\n", "trainLabels = [labels[i] for i in random_selection[:int(len(training_set)*(1-test_size))]]\n", "trainLabels = numpy.array(trainLabels)\n", "\n", "testData = [training_set[i][-1]/255.0 for i in random_selection[:int(len(training_set)*(test_size))]]\n", "testData = numpy.array(testData)\n", "\n", "testLabels = [labels[i] for i in random_selection[:int(len(training_set)*(test_size))]]\n", "testLabels = numpy.array(testLabels)" ] }, { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "## 3) Create the Sequential model" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "use_dropout = True\n", "dropout_perc = 0.3\n", "\n", "# https://keras.io/getting-started/sequential-model-guide/\n", "# define the architecture of the network\n", "model = Sequential()\n", "\n", "# input layer has size \"input_dim\" (new_image_size[0]*new_image_size[1]*3). \n", "# The first hidden layer will have size 768, followed by 384 and 2.\n", "# 3072=>768=>384=>2\n", "input_len = new_image_size[0]*new_image_size[1]*3\n", "\n", "# A Dense layer is a fully connected NN layer (feedforward)\n", "# https://keras.io/layers/core/#dense\n", "model.add(Dense(input_len/4, input_dim=input_len, init=\"uniform\"))\n", "\n", "# https://keras.io/layers/core/#activation\n", "# https://keras.io/activations/\n", "model.add(Activation('relu'))\n", "\n", "# https://keras.io/layers/core/#dropout\n", "if use_dropout: model.add(Dropout(dropout_perc))\n", "\n", "# Now this layer will have output dimension of 384\n", "model.add(Dense(input_len/8, init=\"uniform\"))\n", "\n", "model.add(Activation('relu'))\n", "\n", "if use_dropout: model.add(Dropout(dropout_perc))\n", "\n", "# Because we want to classify between only two classes (binary), the final output is 2\n", "model.add(Dense(2))\n", "model.add(Activation(\"softmax\"))" ] }, { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "## 4) Compile the model, learn and test against the 25% we saved as testing set" ] }, { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "### DON'T FORGET TO CREATE/RECREATE YOUR MODEL BEFORE COMPILING AND TRAINING (WEIGHTS ARE RANDOMLY INITIALISED)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 1min 51s, sys: 5.41 s, total: 1min 56s\n", "Wall time: 2min 11s\n" ] } ], "source": [ "%%time\n", "# learning rate=0.01\n", "sgd = SGD(lr=0.01)\n", "model.compile(loss=\"binary_crossentropy\", \n", " optimizer=sgd, \n", " metrics=[\"accuracy\"])\n", "model.fit(trainData, trainLabels, nb_epoch=100, batch_size=128, verbose=0)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": false, "deletable": true, "editable": true, "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "('Test score:', 0.4849556608772278)\n", "('Test accuracy:', 0.75168000007629399)\n" ] } ], "source": [ "score = model.evaluate(testData, testLabels, batch_size=128, verbose=0)\n", "print('Test score:', score[0])\n", "print('Test accuracy:', score[1])" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "model.save('my_model_SDG_dropout_100_epoch.h5')" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "model.compile(optimizer='rmsprop',\n", " loss='binary_crossentropy',\n", " metrics=['accuracy'])\n", "model.fit(trainData, trainLabels, nb_epoch=50, batch_size=128, verbose=0)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "score = model.evaluate(testData, testLabels, batch_size=128, verbose=0)\n", "print('Test score:', score[0])\n", "print('Test accuracy:', score[1])" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "# model.save('my_model_RMSProp.h5')" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "from keras.optimizers import Adagrad \n", "\n", "ada = Adagrad(lr=0.01, epsilon=1e-08, decay=0.0)\n", "model.compile(loss=\"binary_crossentropy\", \n", " optimizer=sgd, \n", " metrics=[\"accuracy\"])\n", "model.fit(trainData, trainLabels, nb_epoch=50, batch_size=128, verbose=0)" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "score = model.evaluate(testData, testLabels, batch_size=128, verbose=0)\n", "print('Test score:', score[0])\n", "print('Test accuracy:', score[1])" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "# model.save('my_model_Adagrad.h5')" ] }, { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "# Test the saved models using images never seen before by the neural network" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "# Loads my model that achieved accuracy 97.74%\n", "model = load_model('my_97perc_acc.h5')\n", "\n", "# model.save('my_model_SDG_dropout_100_epoch.h5')" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "('Test score:', 0.13020923321247102)\n", "('Test accuracy:', 0.97744000049591062)\n" ] } ], "source": [ "score = model.evaluate(testData, testLabels, batch_size=128, verbose=0)\n", "print('Test score:', score[0])\n", "print('Test accuracy:', score[1])" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "data": { "image/png": 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72ecqDVoYYwJdB0uI73fveAWAgNettMrW9ubbjgEA+npFNjlNse8vqPFVVXGY\nU0xGGx+Qa4ZA1xzdK9r8wfEJAEDvsGh4EaM5dHZG4gCD4wj3JoSMeu8Raa8gT+0YKtNflRunWJV+\nNDlLc8nskvSFhVXqWws5KX+erTwlpTnVVuCQj1Vy2igedTeivkzz0qAvc1t/QTTyjSXSCi9zTgMA\naE2QpeXw3W+NZHe996MAgGyf5F2wr10rS53OnKR17uI3vhTJVmeEkNxqUJ3rbzCvRuv80rR8yzz9\near//u07I9nu/XcCAE6fkfutXHoaAJCoSrm27xVN8QvnyBI+qfprX4LW54z6NpxeoP4VqEx2PWk5\nvhqcJtjBwcHBwcHBwWHDwX0EOzg4ODg4ODg4bDhcc3eIGqvLi3kxSTdVmuO+fjKR6vSOQ+NkZunp\nERNMbonTN0r4O1QL5ObwzCNiHl1ZIreJak3Me1WV0m+5QOr/9lSNbBZVbg7WZF1X5j2bgnNsRLyu\nl1fJpLOoYg+eUC4NWCJCzx1vU87kAzsAAMWSmO2eP0kkoy2DYjIe3r4b3QrNH7IWZG1JTiTIZDI7\nK3E+P/npRwAAx47Je91xy14AwJ6dYvLp6RUSYZJjTcZCeWCB0+tOzYrLwso81e/sgpjrJy/S8cUp\nkRXZpLqq0ioGCbn3Zm7bqjITWRPp9i1itslmOIV2QjpklHJXpxZmM7NpI8Nd82H3HUDK2bJkIfXr\n8oq4LU1NEyFudk6R4FZoTPb2ibnqlmNEbLBECAAImES4vCqmUkuMKxRE1ojGrpTi0iXtvkDjJobD\nkez9H/xhAJKSG5D5panMozZuqud1IorhVeNGiRNs0xKHKihw5CbQFnN7fWxu6ym2bVD6e7xIbV1X\nrmDVitTvLBN75k9KvOYhjuE6sve2SDY1Rb+vzsh5xSUygX7tuBAiR5hMefa0nPf6XsWAydNcM5YS\nc36Jx2dBlgCJjdxWD/Z4ffzn7naGkBjkQ32yXt5x9AgAIJuW9jq6dwcAYFYRWV+eFDN2NkXn3n5I\n3IisO0VDERQzTF5KZsSl5eTT5JJ4/MTzkext73wzAKBVFbJcsykufucW8nTNs7JeLlfoOQVFYLXu\nDTXlvtJgUpgazrDTbivsROhU5Hr1q0pw33VIzFM97905GskKdVmrqhz/d1NC3I1u30T1e9Nd90ay\n3k30u/bCq65Sm1z85lci2eQ36Di3JOtqQ7koWeh1vmYJ5A1ZT2ee/xYAYPq0tOvWA7QG7Nks7zIT\nI9eYl1RSD4gzAAAgAElEQVQfXGzK98IldrNr1WU8tyr0zvGY9OsDO+k+DUjwhZ5B6ZtXg9MEOzg4\nODg4ODg4bDhcc5VUi0NIpbOSCSSVkR1rMkMao1mlBZi9RM7T+ZRoBK1GaEBljTnzHIXg8NUWJ2sd\npsN8JOtJyTXFMpVHZ9KxmiCt+cimSQNZVyQRj084vFccvk/zLiavMpRUm7K3ODVJ5cgqMs/he0jT\nPXVJrpm8RJqPd997VyR74nnZFXUb/LbQO+szMMVi1Ha33Lw/kn3mC0R8+qvPSNiVBx48AQAYHxPC\nxOHd0j9uvW0fAGDbVtlBnjxJDvNffeKlSNbDm8BjR8Wxfvtm6gvpuJRrmsPnnJsU7bBmvBVYQxyo\nMF07t9Ku8p43HoxkQxxiRpMpQxsWzijiJPf/ttBtZn0Yrm5BO9lwPdFvemYmOi4UyPqhSWsN1tbc\nduuxSBbEqX889+IZeQ6H4xkbl/bauYvG1cULQq4pFekZOvNTSYUynJsnUshiTjRMxRKVp1dZFGxI\nvLqyEAU205bppAt47VrdbtcENxr07p5ZP6d1yoCnx/iWAdK8DIqCH3WPSc9K8zYwKH17YgvVf6ki\nWpv0ILV3oSbPKy7T3FdXWq5K0+cyiGxpms7bPirZokxd+oJv36sk8+p4iuaSF1ZVZsckX9/WXOtD\npEnYNHQ1bIjKqrKwlpn91Rf0qPOov4+PSZ0O9oo1cnCAGnfTJkU2TNH1OlRdZZnG5+ILj0ayeJU0\nhu+8TwjgmST1i2bfcCRrBfIdkC1SGWeekNB4i2xJ0gTFRoOOGy1tpSJZqDOErvm79therrW/3azl\nNw0afwlFAoMif21iK0ijKmPg0kX6Hqk2ZOzabInFuYuR7MJXPgUAWLggRLU4Z3EM4qJRrZUUWbVJ\nY6hSEUtdbpW+b2aXpe8lkxxqryVtU7xAofH6ajI2D2wj7fD5JZkfZnOyvpQrNnug3KfhUeslhuSa\nc5dpXkh58o0QNFRG26vAaYIdHBwcHBwcHBw2HNxHsIODg4ODg4ODw4bDNXeHuHCenKynLooqvmHE\nCLH/CBFaLi8KcWxgkAhI5bzKMDVIZoDmosSILK+QGjxsqdifvv0rstFhMe/EzxKJp67MO83meqOI\nzSKXzYppYGyQzA/33HZzJOvleHSPfuNbkay/R2Xk4XvnV8UM8PI0kQiqdcn+sv8AmYIfe1oyoZy8\n1L12ONPGpLH1pwxNXPSxcTFLDI9wu6o4jrEYOb3PzonZpT8pdT57+QkAwM4dQhhMpujmB3aLmWjy\nApMsnpNsNzsmqL0G+lR7eGSiff6sMsEsSjskY2QyDkNlCp6gch84IKZ7P3IBkVe2VWK8q5ibcWMg\nMgcro2EmLW0Tj5Mp1VMuQ4MDZD7t7ZW2mZmlNjl3TtwcqlUaX5bgAgBbt1L8UR1vusGEC98Xs229\nLqbtUpFMc4tLQva5cIHcZSYmhOBjY3xXqxIzfKDPyoTUGgTWhaJ7x963iyLH3k3EpS4bbLL0VX+v\ncoxW7XawY5Tas9mQvlDlDF2+mmt7+8X8XmG3lf5tOyKZ30fxtStlaQfb3omMEE9jbMa//RYpaypg\n83pN2qveEDOs16J3KCvTbLZJ60Va9eFGi/ttqIjQ4fpYz9Z9JNblI3ZvlubOoaSYxSszFPM1Pvbe\nSFYPmczry9yXSUu797NrRKZf3BfAGV9ry0KWqi2SyT0dKvJRgvrK6LDK+OWTrBLKnBHGpO36B2hO\nj6WknxVnmQzVWk9abCO08X9aehmyf9sDzatjnou9DpN2FyJM03tfXJU6azXEzbM6Sd8KdUVKe/e9\n9wEABreIy2aDXc9eeOSLkeyFR8iVJabm1dEJIqene6Q9LFkZAMo8xy6rb5mFFZp/zy/L+j3ArqRb\nRiWm8cw8ByxoyTfC3l3kMrdjn5Bkzz1+f3Q8P0fvmkzL+49zrGPtBhOk6Z7plPTrxbJ8J14NThPs\n4ODg4ODg4OCw4XDNNcE7Jki7szAtxLfcispSE9CuY1BpTzcNUkiPySUJvYRqnq+V7ChNdtCuN2UH\nYDPgGCMO5Ht2SUiu586Sdnl6TrTMdgepw7QN9FG53n6PENV2byFNYLgqhLW9/fScs2rXU2/ITmkw\nTVqShApfM7lIBKFWSUg6rUXSiJqYOHdXK/J7t6ERitYhBnrHEOtJJSXlWF8sksY1rjRRdqdeV1rx\n586Ic/woE20OHZQ2Xlohq8GqygGfSdLvc4uya7zIWqu+Prl2ZIjut2VU+sfUZeXoz7GUshkhVR0/\nSeU5fVa0zIf3U38NYtJvTcxeo7ULnKWoobMkdjEdQ2cTs5pt9T43HTkSHX//95OW6YEHHohkt91K\nlp0gLvV38RJpjrSWLeAQN/39Mi6CIM7nSRGqVWpjv0M2R/17RZHlKgUaf4tzcl6pRG2sNZmW1Hju\njGgNEpyRKJ2VcmWyot3yvIDLuF4F1e0Z43xL/lIyq+VvqFhTVlG2eVDGacDaQ8/ImGsw6TNQ2d+a\nqm0yA6xZGtsRyU6fJiLOiWeei2SWsGTJpgBw8CARans2SVaysEDWxLhuD0UKQpOOK3lpm0yWytZf\nljE+tULtHVNZpZqezQ4nc0XIJNGwq0MaAtuS9D5NlQrt1LceBwAMTghBdXwH1Wm5qEhMgbRxgsNR\nzs1LBsipSSJ0bxmUtTHGa2s1r0JSTXAGzYyEuqyUSUPZDKXPxDPSdj0cMnHHzm2R7EW2FtVb68ep\naZsD6G/YQZGrCaqdjtfPzt2J6RJ9ozQX5L19pUldzNF3yOted18ke+sPUXa4/iGxnJYK9O10+byE\nG7wwTeNhviAW+PFZmjc39Uu7xlT40HleG5dzMpYWOaPjfF5kRQ4vOqCsgbahCipW4cLZFwAAO94q\nhPNtOyXU5fnztG7ERyVE2p23EwF6j8oU+SKvy5/5pswpDbx68rnTBDs4ODg4ODg4OGw4uI9gBwcH\nBwcHBweHDYdrbuc5foJU3sWSiudnRL29Z88tAAAvLs7Ym4fpuJETl4XqEqm6yzlxDK9xPNA65H5N\nziy2aYuY0Q7eJi4Nac528/QJyWZS4qwnmZSYhsZGiBywf9eElJsJNOfOvxzJMikyDd11WEg4506L\nO0SJsyl5gZgG8jUi9KXLYiY6MkoO380hUfM/PSUuJN0HvX9an4HJmqzPnJ+PZJaL2GzKe+fzRJAJ\nlBlScxlWiiTfd+RAJCvMk8nsLz9zIpJlkmR6683IxbkcPWd2QUwwo1y/t98kZrvT58SUM88ZzBp5\nZXKvUcH//JNPRbKf+DC5N+zeLtl6Yhz/OsR6U7mOudqe0ai7oElwpgNpJJEQN4d3vetdAIBbb7sp\nklki6dKSjIFz56kf1+riEjI/RybXWlVIHVNTZNbKFcU9IZmk5wWB9I9GB1JrTZHlbP3m83IfG2+4\nUpG+F8UMVkQZSxqzWbEAIJkWc/+mTWT2TSRkvopMs93brADkNWOqjVu1UvuPEIJJ4Ml51sQZj0s/\nzgyRe1hMuUYl0uIWFvTR75Wq1PkT36Axe2lG5vZ4QPP3S+eF3Ghj2r7pLfdEsh4mTs5NnoxkYVme\nXczRXGJUXwk4TvDOrdKexRo9p96WMY7+tpS52c5nsZZKU9qFOHuB1sGWiqV9mTO0LuBTkexHPvwj\nAIB0WtaiZk3qr8nrUV9W1qDBm/YAADIq1r5nqD4qVRkDcxfITXH5rJjXq+x+UIOM+74BcTNKZchk\nf+iwmMO/cZy+F1ZXZP4I2E0xUBldizwnt9p8G2z2Q50DQLlDdCLBdbE/RNVQvU2XxQV0y8Dm6Pgj\nP/gPAQDve9cHI9mmYfpu0W8aZ9e0rYfujGSlAvWZ4Kx8ywQ+1WmsR/rHyJisb4kMjdNSTtrGj1Gf\n6cmq2N2cJVW7l9bZ56mgMvDOXqJ1Yav6prvp8Bui44scTGFpWYIqfPlxmj8mt4nbaDZJ83NMZW+t\nqjnnanCaYAcHBwcHBwcHhw2Ha64JnuXQGC2VTSwdl8fmSkR+C1WYohEOaTUQE83sfIm0OppT1GSt\nTqMp+54ka2oO3/b6SDY0IiFf9jeY+JSQ7/+lZdq9NlSokZhHz86vCAkuv0zH5ZrsMqr8KmFddkd6\nZ9HgMDwto0M8cbmTsnOZidFuZmVG7pNSWfa6DTqMldUeahKCJQlduCj1l2OHek1sstfUmyqjkyJ4\n+D5nPuqX8EmHdpK26eHHJQPZWc4Al4gL2aXFaoKFFSGCVFgzf8/dQsZYzcnz/uyzZHFoKAJVsUVl\n++YJCfFleXOf+F/fEcl2bSdrwOKiaLRg6HmB2hV3s8awU9totGcWo3caHh7VZwAAFA8UW3eQ1r3W\nULtz5i2sLIm2dmVFwmZFp7FGMK6IdppkaItTLIo2f26BtMw6nFuVM1rZbHIAUKvKsUWCCXvlqjwj\nkRJtWS5PWovhEek/fT30sq0uJ8Z53F5aI2bJbUaV3UYobFRkTl5eoraJZ2R8bTlwOwCguiKEm1VF\nkIkF1PcHB+V545upr0xdlnmhVKQ5L640lEMjpI1sNkUzm69wKLWUzAVLc+ejYzuHxJMy11aZJBlL\nSrkP7qU14rnTQnRt2eeorGSWqNnFUbQASJjBnqy8d7JC4/jcGdH0PfgAhch6//veFck8I/28wdr+\nIC6W1Vgfjd0wodYvDkW3uirjJ1dlArAic6/W6H6+0iz2qspMMfl0cEjmj94stVNZWYPiMZosUkrD\nXw/p3u1zKVsk1bzla01w2HYaAKDVxY07sYX6+WhGrNEfff9PRcc3HzwKAIhnxVJlvPXv4zN5e99d\nomVNcxMPDskcWeZvsXpZxn1+SbTQBSakN5WpthFaQqk8z4YbXCmIhhds6S3VlPXFo3LpeXjfbrEq\nfuiHaQ744iN/Fcmeeo768KQiwXm8zpf1N0nz1X/aOk2wg4ODg4ODg4PDhoP7CHZwcHBwcHBwcNhw\nuObuEG9805sBAN86ISSmoX6JYTfQSyr/RFrsp002gcb6xB0g5tsMXWKWibOJ2Xgi23OIso9s2SYZ\nUypliTfssU0kqUxmqQTZBipNFbe3aTNaybsYNsuEcTE5nJ8l03faFzW/p0xqTY+uyStLaYvJCIuL\nYgaoB2R20KTBleXuNdV4yowk1icVa5RJNeObhYBmSSctbcJi00pTm7g1W8He24i9pcF1pDPPWSv3\n5SVxq+hJx7h8cr8CxypeyYm5bd8uIfPccXgrAOClC0LcmV+mc0sVeefVGhFtEv2H5P0Mmf36hiQu\n9eoCmyN1vEp0L5qt9b4a5gpljzI5KVO6ja0aVySFsa1ErlgJhTTTGqbx1zOvXH5epLvHV2VasuS1\nmoojXVZkqGwPmfO0GXCaTe3DKvGV7ZuW5AgApTJ1Gm0ybTLprqWIjHUVQ7fKxI5K5Vwk83fsA9BO\nGuxG2PkrpkzbPpv8lbcOAp4PZ5ckxvelGc4Ol1IZ/m6lsd2XEleDyZefjY6LF8h9aGRM5oBbj1Gc\n6YsXJQPZyiqNr9vvkkycNx+lcVUpyxw5+RJlAhxISPuHas4e3kH3XjwvxLk6Z7zqycqaY1j3U1ex\npVPZGN9PuWVxNzSmu4lx1j0hpda04V5qp9WatNezJ4kMPqayut1zt5DSfCYRNoyQnOp8fQNSL5Zb\nurQq9edxPNlsUmXhA/WLIKncK5RLQ5XbJq1IqKk4/R5TE00ioHtnlPtghclX2l0m4sWpset1cOnS\n81n3RuIHNnHWxDdvORrJkhckhv5sid59+NitkSyRojmopea0aH5Wgzw9RHPy5l0SQGDxErkXWlIl\nAMxeFneI2XmS67XTZqFsqbi8PrsALqh4wp7NxKmW9kQPjckth6T86ZS4Z2wf3wEAGB+RMpoT1Kca\nbbGnqd8na1KGUkn669XgNMEODg4ODg4ODg4bDtdcE5y5lbQkO4bUbropDtOLPmlSF0uXIllijjRq\nRUjmmmKMdgj5nGh1M7yrHNokJJX9R++gA7VTKJXkefUK7V5DFa4JdjepQndZ4ldaZbjJM/nm0qwQ\nnyo25EdMdiG9gexO09lE2yMAYHSFdmmBCr3UN04a8XJLdkLfUqSybkN71jO769QaXJLFPB26iv5u\n3i7tleP2XLw8py5VGZ8y1Bd6exUZhneiiyvShjYE2dyiaK8WlumBgWqby/PUxovzosXYPCphYH74\nPUT2+YsviOViYYUJeErj2cfZsLbvuTuSlXO0Sw8V2aR3E2VpWpqVkHye170EqtZr0ATbc1strQlm\ncoqSbRoizdJEWUIvjY4SOWkxI/1jIEOyVUXGmJ0mbWKlLuUa8USrN8qkmlFFfg1ZM1YpSzskOexX\n2EYKozI21fs17WNqjfUyAHXOSLm8LOQRn8Mfbt8mGotuRIJDTCXjKoQYy5TyLHrHubJMWlWQtmWo\nR8ZhjBl0o2Py3okesap85StPAACe/OrjkWxkiNrp4K598jyu4J2bxyNZpUJjfG5O5nur7S9VZOz2\njuyJjuMcnu3C8a9JGQN+Md2v2arUUgSfNI/Zhh6aNjRaq3vHKwBYo0tCafgHeW2M1aTs8zmaG58+\nKWS5171etO8pDlVnEqLZ9wNrdZO1cXWVSJJFFe7KkgirqqoC1tz2DUqfMYrJlmjQvT3V+cqsndeW\nxjTfO5sUS0uZics1RWbvECGt/T8dmrGbtYB1JvGfPXU8kgVD8k20ZRuto8mtMv7SQ2RZ83wdJo7e\nsqEIb0uzNK/OzcpcW2Wri5dSmd4U463ApPLFqpovuW161RprmKjm67o31iorNb77CIVs6xmQOUPP\nQ/Z4z9b9kWysh0iCl4ryLpHSOy4NnBh49fbWbu4DDg4ODg4ODg4ODtcE7iPYwcHBwcHBwcFhw+Ga\nu0N86dNkmjr9zFcj2e0HxSTSdwvFLHz8eWVmK5LZpqqyO911jGLcVVcfjWTLSxTncf8eISelOWNV\nsShmg4KKV1eukEtDXccsBWd1M5rYRX8DZQ5IZ8k1oqJiiDbYlFdR7g4JlZFpO5tpW6GYmPJpMkHN\nlYQcsmmJyhXW5UYjfUIo6D6E6451nNQWm8WHh8XUMdBPxIuleXHzKHI8SJshCgD6+sTc/Z53vxUA\nML55byR7+QzFJTWBuJMkEmTK0Vn/Ls6SyaRPZZFbXabzKkUxlywvSf+oNqgcS8siS9hMTIpsMDlJ\nrg+T0oQ4eohiU89NqUx2qR6WqbiGfvfSMTTRpFOc4HZiHLe7sjRb1wgdZ9lvknktXhfya88wtU0Q\nF3NmOkt9Jb1bMiUmZqj+NqUkI2O8R0xhqQKREBvKDut7dsyqLH1NOq6qgZpn87A2HdqMd4GKUR5C\nrinznKTngBLHINZZ67oRUcY4RU6KcVxk3dQ1JgKqJkScyXKZrLiH2c5QKIp7Qv/I1uh4914a5098\n+SuRbCQgl5ixrMz3kR17QVyZnjz1PD23X/rM4ZtoDkglxQUiyIgbzMI5GncmlPayhGpPxTGFT++i\n27VV5zj0akls+t08/wpGOa5+Qrm5xLlBE73yPmWO0ZpXGboWFsXdpG+A3FE0mcznmMHxhLRD2rDL\nXlyITy2uYJ0ZM9vDmbxUuZrN9Zkdm6HqfHyfmCZxMdkuk5L7lNidsT02ve2wbbOUeh7WX4PuRZGn\nmIoiGReUG2KF45PrLGzBIn33pFQ8b+u6mF8WwtvSFC1cZ755OpLNz5FLYmpY3E6qTWmHIXZhahRk\n3BRnzgMAWnkhkts+0Ncj63OciXGb9wnJ79a3fh+VWWWLDbXvGTfY1oldkejAIXJ3nSmIG0c9JPec\nmopRjtfgcug0wQ4ODg4ODg4ODhsO7iPYwcHBwcHBwcFhw+Gau0P81I/eCwD47+F8JDu8VY5NhRjE\nC2clVlx+lcw1g4pVurRMZsjBlIrFmSWG/sQucYeocUrjYkFMpmXFJKxVyOSm49Iajl+r48lak0pD\nmYebrKovqGyrjTpdYzw5z1cmiyBJ5sNmIOXu7SNT63JDImK0amS+OH1Rpfitda85rqXDXTDjs6Xc\nQGxdJZMS7eL7P/CjAIBYQmSf+/SfAQDGxyU15Nve/v7o+JajO+jAFxcJxDkqgYrfOTRA9XvPnXKf\nT33uBQDAzfukH8XZ9LKUk/Jn03K8micTbn9a9odHdtGz/UCGSy+ngn38MXHP2bOfI6HsvT2SLc09\nxUfKLNchAkO3QEd6sOPhSuZDcYcQaYPj7NaUW48N5RpPq1jPPWSG6x1QqV7DW/l5Kt5pNsu/7Yhk\n1Zi4S7QqnJa8vj4ySVPF97XuC7Oz4opz/hzF+u1XJvdYbJyvhZJJP7NpZn01nlOZLF+jLupC+Gxi\njtIBAwhilrUt59n29sP182E6I8zxZIrmp1JZ0l3H1Iqy7xDHoF2W39N16gNNX83jPB70YtSXJpb7\njqPHIlm2l+o5iMuZmV5xzyin6fdMn4o7y9dkVCSeQp3KXVehIIIEpzfPSNzqRpLetdnBLaib0Ms5\n3H3lQmBfrScrZvHqEL3j9IKsMadPS8rr7TvI7OyHMj/bmLs67Xv/ANVRVsXxD20EAhXPW8qjose0\n1sfk7lFtuH3HDgDAS0Vx2Uinqb8mlFtAMkl9pqFcH+ya1GmOAqAi2ar5rIubtlymurzoqRTSDdW3\nF+k7KvfsNyNZ7wytVZ4aiPVlSh2+elZim69MXgQAJJMSE3rPHRRlopKQb6OKmkPLdaqsypTMv7jM\ncdVVWvI0R/EYVO3aM0br8t0f+PFINrCZXNzaYjmrtdFGkuhXLlivv/M+AMCZaXEvnDpP63yrIe5U\nfuDcIRwcHBwcHBwcHByuiGuuCS7NUIzIW26ReKpjPaJNePoEEeaaLXFq7h2ib3MvLrFjJ8+Tw3ev\nJ1rdAwfIyVqTNQoF0jrkVlciWbmkNMGcpaaps8OJx3wkC3kX0lAa47k52nmtFMUR3e4itBY5rdLd\n2Fv3ZkT7UmjRDi+hNDI1zv5y1zGJifet58T5u9ugiYW+x1lqlCa4xTv+kU2igXnnO0jTMDQhWv9j\nt5Cmp1ST/dj2rUKuSRraBessRlPT1MaVspShh8lrswtC0tk2Rs8+sl/6hyUonn5ZSAKpuOxiRzZT\n3NkPf0gc+MH3DlT8zHSGdtyhL4SAmYusWTwobdg7eAAAMDAiBISVhRfRrdAZ4zweA21aQp2JiDUq\nobJ82FEQKhVLJkOa+JlZYRH6CzsAAPGEyk5VpueNpG+S+21hrUNOxlx8SWLMFgzJG4psaMtbVbGF\n83kiAM3NyZzSYHLN1JSUa4RjRtfaYqDKfOUz0SqurAIx1ro0w+7V8AMSL9RXxDjDxF+tEPN5VgvV\neLakI61tjPN7p5OiEayUFTmFtXDZIZUVcJY0fJ7S0EWkWEVo27J3BwBg06hkm1tZpPlwU0qsQjFF\nxBrYSvPLwJxYBlGnub/aEj3gMyfPAgDGxyU++JFDlGHUz8rzLl4iq8HSQvfOwwDQ20Oa7UaHWK0x\npREcGqSxlitJPZ87NxUdV9h6k1FWDo9j5+u48Ibby1fk0TpncDMxaQ9LkNKEaaPKE+f1r0dZF+5+\n/RsBAAuXRNuY5kyMcdVv02wkVQYn1Hku0M/T8crtlNSZNtd9qNRIs7mcFOvVpMpyODpF7Z07eyaS\nLfI4XVSER4/nqpSyrG+7kzPrHj4sD4zT/eYXVVa6y3JcXaS1TpPYB5mcl/RVllzue5kBiQt/6E1E\ngusflljg1locV5adVodcAzqjp40znk1In6mz9aGiOkNN1dPV4DTBDg4ODg4ODg4OGw7uI9jBwcHB\nwcHBwWHD4Zq7Q1wuk4lqIS8q/bPKsXq5QCaMWEbIcg1O0VheEJV+mlXi8c2i0u8dInNWta5TOpLb\nRD4vjvWlopjoSqwmr9cVuw2WGCfmJEteaqi4dbl8ga/VKTg5Na/eTngqRTSnnVwtSBmTKTKr9zfE\nFDzNP6/OiflhPNXFxDhFcLCuIJ1MS76Rei4tURzP80U588itbwMA1FtSgaYm7e6zPJmWutq3j2LD\n7t+vYge/SPf+0qPnI9muCbqmFSoTboKOt+0QMtSufaPR8dAoxapNJKTufTbhBW0yasMwlD4zc+5b\nAIDBTWLy2cSm4IFBcZGYn34J3YpGmzsE/1Um8JjeN9suoIKwWoKoTo9piViBJ4Sb/GUy9dU3CenD\nT9EgiKu0nfmQzNkJ5Wrg12Xa8jyWG0XEY3OodtkpVOy4V7F82dxW0PNDmco10NKuAIpcw33BUyZj\nSwpqdrVxFfCZFNpG9IvcIVSaVf7baql41lwHMX+9G0gmK2NTpwTPrdBcHB+SsVa35um8tI2NHdtQ\n8bwHtxKRploVV7YBNudme8W9omWkPJUK3adQEYLM2ecpRfBzk+IeVyrSnPTOd78tkm058iYAQLEk\n5aq+TG4yrS5Pm5ztp/ooVFQKYY7v6quxmU1TXQ32yDuWy4qIzddrUpU1fRs9xq2rYKjGEo9P7Trk\n8TV6/DRbikDO80oyLm4Vu3fR98L+AwciWW6BXDZi6rz+gOYST8UZz3M+AD3GtTtEK+zQjl1MjGt6\nNP4KJVkP4ctcNRVQmvmBpqxLdjrsObg7ku299S4AwNYDRyJZIknXNOsyViocs7+3V2L7l0syB8zO\nUjmClIw/f5jK0O+rdNhD5FK09WZxgR3aRutfrS73i8WoLzRVu1h3VQDwea0OlctTit0ghnt3RLJW\nk4IrGOWGioq4Ll4NThPs4ODg4ODg4OCw4XDNNcFf/ttHAACXLyvyyYDs1HI52gXkV2TH7xsiMu0c\nFpLCNp92CL4iwfWO0S6kpMKp2AxkZUXQ0BnjogxlmszTss7/KoQTh1tR0ZpQrnI4ELWhtJuY3pRc\nu2mTaKsTadq55IqywxlKsuaxJJqxHIdBqa2qzCtVCffVbdB76kbLhqbRxCCqDx2G6Ow5IiU9f/6h\nSLb7IBEhNg2LE71S6iHgBqgrjfzgMBFjYoqoNstO+zr03dQ8af8uL0p/u+0Y9ZnDR2U3m83ITrrJ\njW4ynQEAACAASURBVBuLS3smedfsKSKI79OxUYF3Yk3SfJ158alItjxGJK7KwuVI5imSX7ehpSPf\nMQlMhzVqGW0BoGOtRYTHU4qRdgh5XCWVZWNphep5dl7CBA6O0HmpZdFYeKt07KWEYNkaFWuJd5FD\nAiliZZnDJPopmSv6mYA3PSXjK9ZL5RlU72QtRbWq9JlmSiolsOQypRE1/M4t0906hQSPl3hcaY6Y\nyGSUPiRkLbhR2aKsNUATW2zGr7ApmsWUCkVm1Wx6TJbZmpJbFs1sg7X0SRXOK2Qtvp+Qeg7iNF/W\nG7pvSRmLK2RtzM/JWnOZQ+LVlZbU9sOJHZJ5zmYtmzp/PpKtzJMGMt6jsuR1IWJc535dQtE1eB7T\n2RB9JiBlkmIJSARS57E4WTeqNanfgEPZxbSWjdtda4dTHE7Oj6nQd/Z0dVytiubRki11yLshXjsP\nHhHC1jOPk5U4UMS/FIfZjCvCudU45wtiXWoLWxiFUFNkuXWl7R4Y8Lsl5b2LZSF8PTF9HACQ8mU9\n6cnSurZ3SL4dbt9Na1B2QAildda4hmreDLhOs54iqjXl2Zk0jYN8XvpZuUQa3rhatGNsyUtv2hzJ\nkhxGslZV1jluj0ARHn2VPc63xOwOcewyaj3wY3Rs4qrfvgYjenfP2g4ODg4ODg4ODg7XAO4j2MHB\nwcHBwcHBYcPhmrtDLL5M8VHT/aKfTkHcEyYOkBP2oV3ijH3y2R0AgGxRrhniLCZ9e8Q0FbBZJzcn\npDsbE7is4sSVVMa4yDyizEQtNrW3mpoIQn88ZRoIOY5lj3J9SLCpYmBI1PMDm0fUNfQ3ppzbBzJU\nHtOU+JMpfnTKF7PdYlneq9vQVKSZVuQSIC4LNr7yvMpO9ORximd4/KS89+veQmSye9/x9kjmK+KO\nNaVqgkyDiYlJFWM2akNl31pYpmefuSjX3ncvZ5DKSt+Kx1VcTBsDU5noIjKU6guesZm21HmWHNCQ\nuI0zL1JM0kxC6iGRePVO+99t6LjYFjpjnM52Z+POtgeZZaKVdhdgd4iEMmFVy3Sf2spwJJvmGM/p\nuJjKM+yqEt8uGYKaoSIvMQEirjIfmQzNEYmsuLzY7FSprJAge4epPIVZyZpl49yu5sSkakkk9M70\nLrE2dwjb/2Ve6EbEud/pWM9R47WJWu1/AcR5TPYp1wBLYK7o8xSpMcpMpwalzVAXS4gZO85uEAkV\ne9maQjWxy8YVjSVEFigSVyVHWbDKpcK6azLqmv6JCS6r9JnLl8ldaXlRCNpBymaoE7e1bkSqj8zc\nxYKK0czkMB262u+Q/c0oFwOP20vLmjynqzCwCJgUGlPk0DiT1nxfjwHqVC1lzvaV+4rNLlmAzM92\nThkcEvc4S8Bs457zc9JJmVNS7OpYqsja32iun8+ulFGu2xAfoDHXaki7NhpSl+USk4uTyuWjSnOV\nH5dxmGGXTB3w3c5Z2gXUrt8602a9IfcOuQV6++RbLc6Z4mo1cXOxbVMri6zGbaLjx1uXnbI6L6Ey\nz9mSdSRWqnLHDY3PYkPGfSmnyIRXgdMEOzg4ODg4ODg4bDhcc03wP/j5XwUAnH/5i5HswqlPRce7\n+pmU1rw3ku3cSYS4vh5x5O7tp52mDi+1wkSIgiLGVdlxXJPlqirshmTQUd//vDsJ1Q7IxofylNYk\ny8qLbQMqBBrvmhdbUpXzVdl+97MWOp5UYWm4PDkV2mS6RLu9xKoi0PXLbq7bUK4qcgrv6Boq/Eku\nT+9xeVba4ZkTlCnt8pzs0p556usAgKPHJItcSpFhDKjeCnnZ3VfZmf+W10mfeeqpbwAApi5JZjZL\nvJicFkf+QoV2kgPKAT+mHPOtliNs2x5yBkOjNcGsNVEyu9NOeVIPyX7uW+qG3ax90JpgrQG20Jqe\nZqQIVppi+7dDZrmU0gSnM3Q8PSOat8oqWw/qksXK3iZzWYVHGhRNRMK2TULqN81ZjAKl6WtyBriY\nIgKNbSaNYL1XxuHZUxRqb3l5OZLFVWgmGyYvqcL2WJKcDi3VjYgxIS5sI8FxeEPFiKyUSaOiSUW9\nTGb2mjKe4ZMWv6bCG4ZKC9dkcpu2HlQtaVH1owSXy1NZN+3Y1RnGYpw5LKYsN2FZWYgKlAWy1hYG\nj8NwKdLdoZtuAQAMbRKL3eVZIlsWFaHa51CWncZBN8H4Vmu+XqfV0pYdnrNiKqtbCBVasEH1pomT\n9t6euretj1hMa+Q7WIVs6MyGUkfrcIOsjdSZUw1beXp6ZK6w4ypsqHbl99JlsFrEQFkSq1VZT202\nslD1x45h07oEHlsWw5paqxRBsZFkbX8g72O1vhOj2yJZMmnDeWqNash/5Xl1bqeG0v5qUprHjauq\nHP0cnk8le1SLgAhLOVqDfZWdNcbtXlf9w1dzjs/tZZTu3vY9PXYDttQ1pkUTPJiWb8erwWmCHRwc\nHBwcHBwcNhzcR7CDg4ODg4ODg8OGwzW33xULFCe4tzEXyTJJIVd4MYoDWlGqei9JcR6HNkmsu/5B\nUn9fnBR3iIUFcocIm2ImabAprKGyRQVt5m5SwWuTSGidxJWa32cTaFmROhYTZKJZUO4QZXahWDUi\nG+gXp/7hIXrXYkHMCgs5MtHkjZwXz9L16azc5w23StaXbsPivDizt7gOtNmzxG4pq3kxV66scEYf\nZaI6+fTXAACf+XMxiWUy0j927aFYnqmMuIaEIHPogYNHI9mHPvLTAID/9ke/E8mWF6kfLS6Jifbs\nJPWZbVul7j2dDcmSRjSJINorapMgZ7Npi2Fo+0prnaTNvyLs3r1nJ2KcNqO1dNG53TuZi5uKkRNx\nOdR5I+MUb3ZJxYudmydzdlONuch9qaFN4GJSS/Ql2s8DEGOCVSyuMqOxOVef1ztAMUnjA3K/Up7K\nszAjLhlNbTPkotVKiqxSJxOer8ZuN8KwC5Bpy/pnGcAiCiyBTsV07YuIpNI/4kk2Z6qYyg1NfGH3\nKB0n2Hqc6RjfNuNgq6nnbOtupMYc90NNrmqpuLSG43gHqt37B8h1xh/cEsmGx8jdrqHWjaVZIsZV\nFcEnYNNtq5vTigEocNa3WLA+42mrru3UdryKRJMRW+xuECh3CUsU1lm9Wq0630e5TUT31C4t/LfN\n/UCOY+wSk1DuRvaiuCqXPa+pMsO22NSuSZ42y2ciIX1C5wuw3wahZgt2MfIFchs0deUuotwhahWq\nj1hVfm/0cBa2Di4f1YrUX6XCcYKV61CdXZVaer5Ta5mNl6/nUJspV9epbQejXGjKPLZryt2h3qzy\nE9QY125m8fXfanXuzxXVrhUmMe8Y3hnJju09hFeL7l2NHRwcHBwcHBwcHK4RrrkmeP4ifbHnaxJm\npmeLZIQKs+TAnUyKts5uK5cLoj1Opuj66ZmFSNYaIKfsnrTOGrO+DDHlKO+xurelSBgNVk/UFTGu\nl8kBc8oX/2STNANFlW/dcJgSPyaybb2yI9kyTuSRptZkJUgLdnn+5Uh2qUi7vuGsaH8Tr8G5+7uN\nelWFUWlSHYQt0USIk73s4myYKk24WZg9BwB4/AFp66GBvuh4eYb6x8iYOPrD45BKGdHmpjm03J23\n3xXJHn6YyJjZlNT9ygrtSNvIGkrTYzULbWHBbHGVlqtlCUVtjAAuntIsW01xS4WUCztkwOkWaA2C\nZ7VJbVogeV+rhNGkGXtm246emRRtZCjW1gz0SxgzW6c24xsA9A/RGNDa6EC1lyWtBUr7Y/g5gSLc\nhB69i6fCmCX591RCNFoT23cAACoFIVNqjbKdm2rKmlHmUGH9beGGug8+W8Q6tpfS+ARM9hxU46Z/\nC2WGqtTkvMIqWVWSioBYrmjCLJ1brSiyGRMTAzUEYlZDrdurTvWrNT4ea4ATcWWFUn3BT9G8kVRZ\nRRMeWZCMCnM2+fIpkoVS1pKdx1VoKQkj1b3jFQDyZZr7erVKi+clTXiMlP5qjUxmRCMfsCZZTV8R\nycwL11tn2jRoURV564Q6a51p6PvQvXW4Qdsh27OI0e81tT43eY6oLgmBdXGJskFqrWSsA0lOW5q6\nGY06a+7r6r3VeKixNrdnWL4ThjeR5XSwV9ZGqwFuKq1vPkcWr6YKGlBnK4hR9af7T9xnAquSxWzm\n1EBbl3jNU+8SYytNVWeM41CGOZXRt9WSctf4e6GqCJF2XVmYkTCrm9nac2zHvkjWVFasq8Fpgh0c\nHBwcHBwcHDYc3Eewg4ODg4ODg4PDhsM1d4d46Bky+U9dvBTJ3vfON0THqSaZ3BKxrZEsZEV6qShx\n31aXyQ1iaUWINC2O/blvhxDorON9U2WK8T0xiVgVfVWRORZXWC1fFtmRTZRZ6pIitBU37wAAmJ1y\nP1PjTCjK1HBGmdTu5XiofUZ+n16m51VUZqNEi8wcqbgYEXoy3RsnWJPgwG4QoTIzGSZ/+SoOZYKz\nRCVTYn4eHyFT6qjKKDg+JubV4R5qR0/FjjVsXmsUpiOZXyXZjgkx7x09SsS5j3/8I5FstJ+z8FUl\nS1hLkzki4XqCh7aieUwQCpV53fBwarWU2wS7PjRb3W1StTh+4nh0nOY4qQkVl9VXMZxtJj1tLo6z\nW4KOHVznsVFTmRsrHE9WJ5jq66F2TyhTlh3HSZW1LaPM5nUmXdWVWa8R0nNCT85rsWmtouLY5lbJ\nDGf65N62rXUWwboidllTcFyVxxLnllfEhaIbkeL2bMuYZf/q8RwjaTIj9Vdil4a4L3UxN0VjaGxC\n5m4bPxsAquxyVFHuY4GNQVpTZJgs9ynlpmHnxobKFFmv0HGjIf0jmZGY0ZlhMgVXT0p2wcUVOndo\nUNqzyebhhMp0t2mon8usSHxsfve63M1lOUf10p9VbgdmvbuWdcPS47V/SDI2WtN3U8V7j3GquDbi\nKQ9aP6aJwvZAyToQioMOXxyaiNXguT1QZLlEhuaFQk7GV52JqefPyxqwyq4Cm5n4CABBoGO7WzLz\n+syw3YieGGcCrKt5s6QCCBgaz5vHxIXydbe/hWTD8k1kCaoV5ZZU5DwKZe2KwHNtoMh3vuorMR4H\nMTVObYx9664KyHjX8bqta0OpInNBiV1aylWZk1dVeRL8naDdt0pFeoeLF85JGfnei/OXI5mOSX81\nOE2wg4ODg4ODg4PDhsM11wTPnD4DANg2Ktq9vqRoOPMLRAg7fvyFSJbkMFU3HzoYyRYXiDi1vCI7\nhcIq7fL375TwN+K0L7v3lYLspOwuNq9kx1+m3WRFcZz2cGiu6Zw4codZKndM7XaR4B2QEe3Ey0uy\n43pkiW76ZuF6oVknLUe1rMhgSXII16SEcqV7NUs605DnsQY0lDowhn5PJWRHf9+9bwEAfPTHfzCS\nlZbPAgC+9cTjkWzTiFTW8CYiuSTiHUJgBbL7rHFWnXMXpF33H/mfAAA/+MMfjGTNwjP8PKl76Oxm\nUVyftpel91OEgCisXqiHkCUEKC2y6XC7Ls5S9Ov/7Nej4ygbU1t2NOmgltDiaVmkHVqv+W4nB1Jd\n3nXH7ZHslluOAWgPj3TyFGUZvDgtGp/3vuvt0bHhvldRIcseePDLAIApRZ6wavzispTr6197lMof\niCbChj5LKi7cG9/wein3+Gb6q8gan/vUJwEAL50+L2V88PPoNiReIQNaqLMysb0snlQaPM5eFfPX\naxsrNRUirSZ1WWEikh43tlv4gawHJdbMNpTmqMHXqqGJMlvvAkXO82Ny71ZIc02xKVqgLLPFQpXZ\ncYXbOFeS5+U4zFKjLpqqeLKHy9DdmuBcietcae4jzb6ea7gdPKXBHRwelWs4ZJwOY2YzpvptISPt\n/daH0jKKcG6frXub7j+WIN2mmeXnaFKrsWR2FfY05DBtRZUxsFBj65wnbR1X6c2s5QodQq11I5ox\n+tYJIf1UW2fA3ziDA6L13cxhZbNpRfC0md70xwW/t+7vNgRdPJDxownOIfeFIKXIlEm2/Kn12USk\ncUWi5e+tgtL0Wu1wTbWrzrrZ4PVCW/WfeYq+Ey5PSVCB5SXyEpgyYt0dGxALx9XgNMEODg4ODg4O\nDg4bDu4j2MHBwcHBwcHBYcPhmrtDvO2uuwEAQ1vExB0EQip58rGnAQDPnBB3iAzH/R0bElNNNkP2\nybm5+UjWYkJWtabMKay+9xSxZXFaTN8VJmss5cSMMrNC5rG928cjWYmJNgsLQsQDE+iayhzgZckk\n7w1IvNMwLuaEx+fJVLXNyDVDAWeYiikTJJM+WrWlSDY5dRZdi7aMNPV1MsPEsXRaTDDv/4F3AgDe\n+CYhRp57nkwhlbyQa9IZsUWnohjQykGf4xUGMZVFjol49ZZc22SCoibrJLJEpMmqWKJV7XbSpCER\nNteT5UJPzFIe4nxvlaVpzd+2qzuYCbsRJUXWtKaw0NMmcGVeZLcgo81spu0PISIWKtM1m7pOnjwV\nybZsIVeD3p5edR7V5srKaiTL58SklmbSTEuV8dIUuU5cmhaihK3+UGVfwlLA5RJzXJNNwgf2SuzN\nel3cfMpsfq1WRX+wOE/zy/lzZ9DNyGa5rnQsaOueoM3GHrVTIlDkYm5Enf3NxvUtFKR+Lp6/EB2H\n7BI1PKxif3JVa2KyTdVZLkjMV0vG7FFxpFMZmmtjKktcU7nY2DiwvnKnGRui8e55Onsg/U33C6mu\nzhk/K3poNulE7cbTjciXqFIN5B2j+K4qO6WY/qX94wmdiZPQbOi2MfpP+7HqRzZubyyuTmS3BKMC\nExvlfmDN3DojY4OP4yru98goEd1mJ8UE7rNbhc54ZwmPubzMD8Oq//jsZqnfpXtnYiDBqTZLtQ6u\nKACMJZ4WZM5uy27JsPF/68r1wfCbt5SrQZJdF2M65rpyaWiyC0qpIt9OgXWDaKp2YDcXHRPYwtcx\n1/nZdeXSElOE41hA64AmTyf7aQ7LnZd3LnBQgell+XaaW5F8EleD0wQ7ODg4ODg4ODhsOLiPYAcH\nBwcHBwcHhw2Ha+4OkUiROcKDqNhXc6LKPvUSmc9yBVHLlyukgl+dFzeGzQGZbWoqbeASX5MvCSO5\nz7InlXl0ekmed3mJzZmK0bxtM5nr3nLXTZGsyia6WkKe1+pns56vGJNs2m6qMoSqjDBUxhMxMfG+\nfZxcI/y4mAkXFsntor9HynX58kV0KzxPmUW5DqwZFQCsx4inYrWOjZJLTNiqqvOoC2Z65DxFEI3Y\nycZoc6Y91ns4Oh4cEPPeYoGeUyyJuWWoj8wpg0Pi+jJzSUztlpGqma02vqbviUuLsS4W2s0hukT3\nD/6pLa7yepNV16DtvZndrWIca9OUF7k+6MgC649s5AFPnWfbdXlZpT1dIHOWr9jdPtdvXI253Kq4\nr1gmuAmkYIVligVdzytXJn4vHbnDurQ0qzpFa5yfIX1iWkWm2Lx5nMsvz1ucoygUpVUxx3UjbGQc\nT5mQEwFHffB0n6S6Tiq3NdvPi0WpP+sG4VWkDTM9ErElitSj2s4e1WsyJsMGzZ1pZQpNcNzRhDLN\nBhxVyIvLONRxTouc6jrbJ24OyTS5pumIGLZcPRlxW2uxablW1XGCOdV2h9To3YRC2bqjSN3b6BCN\nhnI/YDcHE6g6VfF47Zy3uiSm5BinudZRfpLsqmJUSmI7rNqijBgbMUKXVqeop+trTZW6l8ubVKnM\ne/to3WipQO0+zx/ZjEQZiXO0j7yaH7LK/G77gKejO6F727aYo3pp1FUaaF/ep6+f3McS/kAky3Es\n5YnhzZEsWoMaam7ndmhod6I8fbf0qv7RVG0TWPc4teQZHtuJukrPzZFYmmotsfOur/pMgodxXUWU\n0dekOU5wtSbfU+Nj2wAABw9KVKHnTlLEiFJJ5uyVoswLV4PTBDs4ODg4ODg4OGw4XHNNcPmblIEq\nnxXNySmlhV1dpa/8wX7ZlW/qpx3tTtnkocnavJTSDFQWaQexoGIHjwzSDiilspJpDcP80gwAIFS7\nwftetx0AMDosGgTwDnjbimx7TvkdMi7ZnbYmCSgiTS2kndTT0+IkviczAgDwQ3nBsEgZ9WZmZDcz\n0HPNm+fbRjojtSCaW2njgDPJWE0CAPT38g6xJu/Ym6VdbG+PEJHyedFEtJgA4asdsI3Nq7Mh2Xix\ngdrWDQ1wNkJPO+izxnh0eySZvXxensfEDaM02NaK4XmiaTGGZM2WJhuw1lrvLYVVt17Whdg0ImOg\nkOfMa1e9Sp9BdRB20Cjr+Mg2u2AioTQDSUt0VVnd8tRXdAxZS4ACgHiFxpppSN+rc8a5trii1mLT\n1BoL0oIYZTWymoipaSlroLLkDQ9TP+3v1/WU4zfv4oaFkFV91TaBjcWptGx27DbUPJ3sIS1sqEhw\niRTJkkk9LtbHINYZnxoNart6Re4d82wWPpkPrSbY81XWPyaqrSyLhr+stP0tJjVmFRnK82icxtri\nxXI2S2VyshkJMymdCZDuZ+PndiuKPAY0ycmS+YxSdEakxkCRhxVZKmwxcUxpa2tMeNNZI20we0/V\naTS0O8RXbwtVrAwODdZM6nnB9r1QEej6Bwf4dnKejWXck5H1JVOkdiory9+KsuikuI3byGXoXtgY\n84l+qftsTDS823ceAQDs2isW7NERihOsLVUex3OHL/29wu1aVFk8wf08UVHfLyqbW71K32pBXI0R\n7jM9PWoO5bmkoebaJptJm2pOrtvsnWp+8Iy2OpI8UNrjUpHm2oaaP0bH9tK7rEpZTUva/WpwmmAH\nBwcHBwcHB4cNB/cR7ODg4ODg4ODgsOFwze3t52tkPmzOCXmiZ1zIS7ffdhgAkFY+9se2kyP8UK+Y\nwoplUn+/+a5bI1nmFMXltMQlAOjrI1NYS7kk7BmTGMWTl8ntoqLMbDYkbLUo6vQMuyLsHhQ3jedX\n2ZykzAohm9SMMteaQN6vxTH+Cur3L71IRJvDEFNeaZVMB9OXxTyxZ5cipnQZenpUqtyg017K59+k\nnnt76X1adXFfWV4kEpM2n/valGOJT8p9JWTTiqfiYkZkB0WgS6ao75mYjjtL/SLdMybnJeX3fI7K\nE1dpXY3hdlApkltRakgpqy1CW+xgNgl5RtkBve5Nw5pNy3sHMWo7nTpTw5q5NaXKdIiBbM1i2hXB\nxhg+fGR/JCuVydRVVnEobXxgbbrWqZsrZRqzgTJjJzM0/jKN9TFJayp2pY1FqrmNNiawTou8tCiE\nt2effR4AkEqLC0CCj0fGJK55N8Kmy60oAonPr2kCPR+S2TM/J8TkeD+bpH157xQT1GJqPtTuEDYu\ntCbXWFcx3ada7OpUVwTMJJOmGk2R5Wam6LyGzO2ppJR7gM3msaI8z17vd3CHSCiyV4VNwEGwngQa\nxMVVqxtRqLBLi5JF06Hq3K0oTbGMgWpV6jLd4Bj7arhbMmVT+TFU2ESe9HVdsRuDilNrXZ6Upw0a\nKv56RDxUD0zwONduGg1249D5AOKBJSvLtUMcE3q6rsheKq412PxuzI2h+yvkqG3iKs5yTBHZ9u7Y\nBwA4uP/mSDY0QGR77Qpm/VL0OI0z8bCs0s03SjT/NuvKbU3Vb4zHTbMmfabFxNRqTac+pr6gXTJq\n3M/qqlyFHM1DvQMjkcxX85Cdg60LBADklslVcvrC6Ui2kqP5WS+ricSrX2NvjN7g4ODg4ODg4ODg\n8HeIa64J7h8nzcHEHiEibd4m2tXJKcoA18rL1/5oknYNFZW9yu5YNrHjNwDs3b0TADCks7Xxzm9h\nVmWJW5yNju/so92FB9lRFSdfAgCcURoLjzXKLzRF82E5UDo0jOFYYDpEU6iVfjacjAohUmPn/yMH\nDkWyEw3aAZ17XurhwrRyWu8yaO2vVf7oHb3VzlfLsvMrlzikksre9MLzlDGsVhEyXO+AaGa9SKMh\nzzZRJqK2WGrryphboedNTkmdbp6gnbJXU4SQphAPfCa/haHakbKGKoTKGGc1LG1aBZ+v1dpQW0at\nye7evWeoqCL/P3tvGmXZdZ2H7XPfffN79Wrqquq50Q00GgMbAAlOIAmOkkgNpBNqnq1oZUnJD9tL\nluxoybIjL2c5VqRYUpxYy6KkyJIsJbFIS0wkzgRBEiQAAiTmRs9TzfObp3vzY+9z91ddr9HdlBr9\ngNrfWr3q9nl3PNO9Z+/9fTsrRBJsV9xOGmUAGQol4dJigcIyL+G0sqLekHXJ+IPVNzvP/WJsQolo\nqRTInIk1Ci3Q6Ry3Z6arpJlI5gW0Tvj9YiTLicxfG8hQtZqOwzOnzxIRUQ6yRpbH2FJYKuu8Nowo\nVvg+kWTqLW5opV8WCctsTi00vS4fM7VLrd1e5i4N5+thdr0at2caiFiBmAWLUH8tb+GDibMmUk9o\n6Vud53m6kAd5xlBlJuuLfO1mV+cFn10uVdQ5JS1Sh2hh8nJehYzWgzdaOadzxTCiKZnSekAmS8k4\nRlkxPwZQg3IQma4NEp+efOxJUURETS89WdOxWxFrHvatWOaF/sD5UAmpIXhydV7VI/yY7YLEV+Cf\nDzxsJSFqVira1rVNvcdu5D2IqPE1vNS4tPecxtpGi6sqm/r5z/5n3i/Wb5TKWx/mMpimA+85BQJw\nVizB6aweu3qJz92paz/KFNSrHcp8mS/BN5EnwfVAGk/6DH4jdMUD127rXOrEd9Hr6zdCoaxe+1aD\nvbLLS5eTsjUvbADfaim5XgD9DLPEXgvD+zY2GAwGg8FgMBhuEuwj2GAwGAwGg8Gw43DTwyHe8NB+\nIiIqg4siDRmE3nCEXVPBhpq8N+fP898NdWVs1Ngd0+5eSMouLLH7q1HXsAm3fI6PXVC3wQHQtE1J\nBqEOBPC3xJQ/P3cmKTtzjt06Fydu04eZkixjoEPotQtdXl3q6GABupc+n2SAaUZa/cePsjvp9CXQ\nQ23pcw0bULPRP2QMrilPyMAsLi898wQRERVKSr6Kevx7HvQeMaNPPECA0utTui0EM8kGBPul+tyn\nXnrqc0nZ7EUmYhWz4PZsQjYpx/fW6SCxQLJqAbEgSkhwmIVH3OuYYcpr5GLCuC1UsuECZvfyDbcT\nNQAAIABJREFUBDQMgUDikxsQDuFrH8eAPxqJO56wcub0+aSsK4SLDujTemJGHvrM/ILOFQVxgfaA\ntNgREirq/+q9QJ/x4RkQpoF6xB5pyLDmwyAwHMKTh8LU8BIeiYgKondcyGj4WDov7kcIh/DhIRg6\n4pt4C+3Ru67BXTs/q3Oo1yXuNcEFnhyqZe0NnueKu5SsGsnvhby6Xif3sR5op6rXuHTyBT2mJ+EN\noc7F60s8vxRK6mYdHeNzFsc0a2QcS4hEVQncKXEZN6rXn33qVqArRLAOZBbz0+YWbV3frlu66XbV\n3FYLyFJy7gD6tktx/baAINVeYDd1aUSzlwUSBtNHstyWOAc+ZyaEsKUkjEP7Yyj9rA9a69WWJ6mD\n3rRkP6yUNCwJ55JIMo+510g4RNDhMdADcl+sVU7LF7jOP/83H0/KiqLZfeTw0aSsVOD2QrJcRgho\nI9Be8zI3doBQXF9VUrAnH6N+eCrkb6E+hNXkJItfFrL++fbchNDUkoQ+YDZCAuJfS0K1NtcuJWXr\ny7zd7em3UZDh9swBST2Tu/52NUuwwWAwGAwGg2HH4aZbgpcW2SJb3dDVeQ6yvs1IkLUDWSQvwVEH\n+Y66EKzOzJ5Myk6u8eri9vvVgjAiS+DJGZTFAlKaEKICCLIPZfNQRlcSYy0uXF1Ry/NZWbn0IWNK\nymdcAbkYAmuaJwChBJjPj77S1vu6QwLQsyC9dPHCEFsM0TLrrbBImhJZlzLI3G2ss6Rdv6vPWBIL\nem9LNiA9TUrkxgIHXdXXKW23uBLsV8jzfum0rhqra2yNJpBMymXAUuHlzRxaP4OtvxFYxECCKIh9\nbvXt2dIizJY2xJnFBll6B1p/YRuJgIOOiQZkjPOZgZD41JBxgXJMvk+1mypfODs7l2yHIY/FVKhj\nsudl0MAC1ZdzR2ilFymgCEhwUX/7mHNXsYTr83npqeG2BC+9/BUiIhqduT0py5XZKoxk3yDibZSi\n88+NHhJf1oMBu17T+mtssFU1DWSYNTl874xa66IGz8ltINdM7TtMRESVcSXnddo8l6xsziZl7Ujb\n3ct9ZaENIyHd1DeVeFvbZGtT5pLO7d6IilNYRmQ0G00wvw0hetK3u/jcUpV96O+BWOtQfqwLcmKh\nSCL2gTTcqvM7GN9LGcnsmAu1rC11tLGslr5URiQWkUgO4zQtc3AEBGdPqO6BRGEgnpiRSSVB+jZB\nCc6CZB11Gb3eKBzjz5mCd3UmvH4C1auNaFPec+DRiju6nZbn2FhQS+lTT3yViIj2zBxIynJSzz1o\nV09WzWfBCi91vzKn46sJXvbJGRYlqC6p6EAsltseWI8rEzxmcd7MFrndQ7f9u6EIGSc7XZ3n1xbn\niYjo7JmzSVmryr/3uzoPpYrcP7IZ7UcDnIBXhVmCDQaDwWAwGAw7DjfdEkxET70K1zC8+nieiIY7\nWG74cenau7zqOEs2Zv+2ePlW38BVYO36t0Pj2rvcEli7vj5h7foqwMUDMjwZDAaDwWAwGAyvZ1g4\nhMFgMBgMBoNhx8E+gg0Gg8FgMBgMOw72EWwwGAwGg8Fg2HGwj2CDwWAwGAwGw46DfQQbDAaDwWAw\nGHYc7CPYYDAYDAaDwbDjYB/BBoPBYDAYDIYdB/sINhgMBoPBYDDsONhHsMFgMBgMBoNhx8E+gg0G\ng8FgMBgMOw72EWwwGAwGg8Fg2HGwj2CDwWAwGAwGw46DfQQbDAaDwWAwGHYc7CPYYDAYDAaDwbDj\nYB/BBoPBYDAYDIYdB/sINhgMBoPBYDDsONhHsMFgMBgMBoNhx8E+gg0Gg8FgMBgMOw72EWwwGAwG\ng8Fg2HGwj2CDwWAwGAwGw46DfQQbDAaDwWAwGHYc7CPYYDAYDAaDwbDjYB/BBoPBYDAYDIYdB/sI\nNhgMBoPBYDDsONySj2Dn3Pudc1+Uf//ZOTd2lf0+4pwbhf8/OmCfl5xzH5Pt3c65zznnvuyce98V\n+4XOua865zadc4elbMI59xXn3Becc59wzmVh/4865y4MuN49zrlH5d+9V/yWd859Us73cedcWsp/\nwjn3Wefc551zuweVOeeOOOeeds792o3U5TDAOfdu59w559xn5Hl++Ns4xz8f0GY/Je37Lvn/P5Z6\n/4/OudQV+94n7f6Ic+4dUvaT8v+vOed+Xso+6Jx70Tn3pavcxytdA/vX+6Us65z7PWnL33qFe/mo\nc+7slc84zBiSdn1Y2u+rzrn/9orfvumc+xnZ/lXZ5yvOufcOuI9Xusbfd86dcc790RX3/U157n8o\nZXdJuz7qnPsfpczaVcv+tuN1UP3+rHPuMWnbHxlwHz8qbf6XzrnSFb+VpPxR59yPS9m28f96aVeE\nuwXvWPl9W5tfbxmc45edc5fdVd6FzrnfdM59yTn3v95ImXsNv2M9rF1vQrvGcfyq/iOiCSL6IhEV\n5P+3E9H0Vfb9AyI6Av//0oB9vgTbv0VEbyWiAhF9YcC+u4jo94nosPzfwW+/SkQfhf//KRF9ecA5\n/oKI9hDRbiL6xBW//VdE9Cuy/ctE9H2y7+9dsd+2Mil/mIh+7dVuk7+DNn23v28iyhHRXxHR/Td4\njn9ORO+7ouyniOhnZHuSiD4p27+IbSVl/0XaJE9Efy1lKd/ORPRN2a4QUfoqfela19jWv2S/917r\nXqCPve9qdTBs/4aoXffK9teg/MNE9Ck4z0H5O0JEj9xgu44T0WEi+qNr3PdvEdE7ZPvTRDRi7fp3\nOl631S8RHZD/h0T05BXnCInoS8TGnB8gon98xe//iIh+WMb/I7L/tvH/emlXeJ5b8o69os1/iYg+\neh1lg/rGLuyjV/z2ABH9e9n+d0T0puso+9+J6E2y/Zp8x1q73rx2vRWW4O8hftk0iIjiOD4Vx/GC\nc+6nHVtQH3fOfcA5t5+IPkhEf+yc+wU51g04H5Ydj+P463LuTedcEXeM43gJ94+l9gQpIjpJROSc\n+27iyTAacL2xOI5n4zieI56kEaeJyF9zlIhWiOi7iCjlxFLonAuuKPtt55y/p0HP95pCHMctIvoN\n4gUAyTM/IhaZspT9vnPu0865jznnfvU6T/0W4gmAiOhzRPS2K34fi+N4Lo7jJhEVnXPZOI778luO\niF6Q+9uI47j7bV7jyv5VIqL3ENFHpO9+79XuRcpfs+17C9v1JSIac87liagG5T9CRH8O93deNju0\nfdy+4jXiOF4loj5tx7+R57nvintJEVFMRG0pt3bdjhserzSgfuM4viD32SOi3hXnOEpEz8RxHF3l\nGm8nos/KPP9NIrrzKuP/9daut+odi23+WeL6v1bZoPG49ArP9nY5jz/27ddR9lm4xmu1TYmsXW9K\nu96Kj+DdRDQ3oPzP4jh+LxF9gIh+MY7ji0T010T0Y3Ec/4bsEw84DsvweTaJaKCrAOGce7Nz7gki\nei8RnZXinySiP6bBFRtcZZuIP6Ifcs49R7xC+SoRTRNROo7jDxBRg4g+cpWy1xNmiWjGOfcg8ar1\n3UT0Z0T08865txBRK47j7ySiE3DMoLZFjBK3KRHRBm1v20Xn3N3OuV1EdK/sT865fybX+cZ13Pe1\nroHt7X8/QmxJ+x4i+mfyIh14L68D3Ip2/QTxPPACEf0JEZFz7juJJ9srP4qIiP4FEf3uDV5jEH4r\njuMHiei/I6LfkbLPEtFvE9GLRPRYHMftqx38GsOtHq/3yP5XrV/n3M8R94VXusaV4wx/f6X3weut\nXW/VO3ZQm1eus+x68WpcY1hh7XoT2vVWfATPEdHeAeUfcs59gYj+koj2SdmWj9A4jh++xrnRmjNC\nROvXupk4jp+I4/jNRPRxIvpvHMcTflUsDwMPuco2EbsD/zKO43uJ6P91zv2E3MMj8vsXiOiuK8o+\nL2WvJ+wlbucjRPSUlH2D2H1ziIiekbJv+gPiOP61OI4//wrnXCe1vA9q239KRL9J7CL5FhEty3n/\npdzHD14tfuoGroH9qyK/rxO7lRrEnoCpq93L6wC3ol3/NbGb7g4i+imxCP8sEf0h8fyQzBHOub9H\nRONxHP/ZDV5jG+I4Xpe/p0jH+b8kou+P4/goER13zh241nleI7jV4/UZ4jEysH6dc28log8R0f88\n4BqVV7jG2jXuweP11q636h17ZZuv0fY2GlR2zfF4Hde4VtmNXGNYYe16E9r1VnwE/39E9GPiSvZB\nzTPEk+IHia2i3p3ZJY7jul4845x7m5jyy3Ec166yn5Nrp6GsSmyVvZeIPuyc+2siuscHWzvn9sh+\nK865vfL/KxvAEdGq34+4kb5KRN6dej8RnSGix64oO0uvffg6zRHRPyS2jp4hogfl9weJ6BTxsx6X\nsuN0/XiCOJ6IiFe8X8MfxTX0QSL6OSK6EMdx3zmXkZ97RFQndXMm9yv3XBLX7yteg7b3rypJ+4oF\n+CARLQ26lxt4zmHDLW1X4rbbkEVpn3g+uJ140foLRPQPnHNHnXPHiei/l38k93y97eqfE/uEDwWY\npK1z0Jr83SCi8g0857Bh6Mar/LSlfp1ze4nofyGin/Lha865nCxoXyaeo4NB1yCeZz8gY/M+2mrJ\nvtLL93ppV6Jb944d1OZPEsdrXqsM37EegzyxjxHR+6849mvXWfZah7XrTWjXV/0jOI5jv+L/pHPu\ni0T068QfJ58kJjn8K9KPy08R0b9zwgp3zv32gFNihf66HP9p+esZyw/I9p8T0XcQ0R86576PiO53\nzLL8HHGc7h/Fcfw7cRx/II7jDxHRc3Ec/6pMon8o1/gXxK7CPycmh5Bz7p84Vn34UyL6IVmV/SgR\n/Ukcx88QUVPKHiSi/yeO429dWfZtVOWw4cedc58hHqj/KY7jb8Vx/ATxc36JOIbz30tZVvZ9A/Fg\n3dJOV8ARJfFEjzpmud5H4hp1qsjwM865zxO3k49b/B+kjh8loj+P47jhnHuTXPseiXPMENEPEdH3\nXusatLV//U9S9m+k7FEi+g9xHPeuci+vVdzSdiWu3885575CTNioxnH8xjiOv5v44+jfxnH8suw3\nRUSfds59XI69rnZ1zn0PEf1HInqfc+7/lmN/3Tn3ZWIC1z+Fe/lj59wjxPGqz3+bdToMGMbxOqh+\n/xlxu37csZJFlojeQUQ/Jwuj3yMeez9JEgYDfedjRPRjxF63j8Vx3L3K+H89teste8cOavPrLcN3\nrGPFl98goh91zv2OlP0T59zuOI6fJqK29NF+HMdPXm/Z36JKhwLWrjepXeMhYD3+bf4RhxN87CZf\n441E9NM3+RpHiFdD/+hW1+mr0GZeteGXiOiHXmG/jxLR40T0rpt8P/+KePV7M6/xUWJX89tvdf1b\nu1q7vsbb9R+QKPxYu74q7W/v2NfhP2tX/ufkJAbDqwbn3B8S0W3Ersfvj+O4c2vvyPB3AWvX1yes\nXQ0Gw+sV9hFsMBgMBoPBYNhxsLTJBoPBYDAYDIYdB/sINhgMBoPBYDDsONyIhMa3hQ//wA9xvIVT\nImKQgpTSbtsGBYF8m0caquFSXJZy+t3uAif74+m4LJXSR+v3NUEQJxciQnU0HxKyRRpYykYqlaTo\nV37pl4iIaP9elepzbpDax985hi7Lzc/8xLteJtZupVbAddVzqkDWaHGdxz1tw5S0l4tUMezIDNdl\nL9Q+0ehoyKELuB2jXkvP0+cGD5y2caPGvzc2G0lZocC/h/lsUuZyfD8tUC2LoNmddJU23EOzrtf2\nyI2UiIgo7fT5NlpVOaHuN5Lja8ewXyGX3M9v/p+//9gv0BDhz3731/6UWBmAmm2ug0ZD62J1vZps\nX17a4L+z80nZwhKTk2vN5rZzu4Frbq0XH5kVwJjKprkN8xkdr6WCbk9WuB1mxlTVavc4l42N5JOy\ntMwHfvwTEYVybkfa95qt1taboa1jPJ3ma7da2tc7vb6cJ8EjP/+vP/YeGjKsLC/GRDC/EtQ1zLWB\nVJGfc4n0uYMA53HZhvqJY91ut+p83XlNFNVqc72NyPghIpqYnCIiojCj7eXPGeFgGjALBjSgnQYo\nuWNRJGMxwlBAef4AigaECtbCQmHo5NN+5S9W+EZTOs+lMzI3wrzTkfG8cul8UlYcnUm2swWu/1I5\nk5Rl5JQbCzrGSdp4bHrXtnvpxzqWuk2ei+tVnZOrG7qdLXNSss1zzyRlI3uOEBFRZUrfsZsLF/ke\nlheTspkj9/CtQL9dPPsCX2NN+9vE0bck25G8i5rrKtvel8n/D3/hwaF7x86u1WKirf0whp4cyTts\ny+9RJL9dI8w1GSvbz42KnlG0PWnuluvJvlEUD/h90ECE/fp87ubaWlJWHJ/UQ/z0gy0z8LHkewDm\nNX/InQcOXrNdzRJsMBgMBoPBYNhxuOmW4LKsJNsttSbFsLrIFUu+MCmLAm/1hVV+xBaaFHzthyF/\n5BcyuJphZDL4aPp7dZMtVN2WXi+TKfD5Ciko4+vkR/Q8YWhrBo++07qKJHvtZlWtf3GP6zebziVl\nTlaLKVJLXq3J7RrkdMEWpnS7UmTDS6ut1olijs85UtRz93p8D42aWhr6Yq1baqr1siPWfrQIpkPw\nCmT4uUqlgt7DeFHuQftwV1axvbaumvPE9xiAt8I7IYKclnX6w5s74798+rFke6PG7VlvqCW81Vav\nSlcsoLi67/XFogbLdyf1kQZrfyHLdV4uqPWqmOOyXaNqJZyW7dGSWgkrJThGrPwOPUQy3rdaMZzc\n6vYynHtSYv108EwReC58PwvASpqX50Kr1DADLTn+lnFOjqRvYw4pb2UNQ50PvSUYj+1D367X2CvQ\n62r/iXo8hnodPU+zweOzlNYxru2p546lHVotnWdymWKynUIPoz/PtpLrh3/mYSePhyHXWze6huUt\n4jot79KEeL2uzpeL51geOXXwcFKWnuBM1KXRiaTM1/PyhdNwbr7O2J5DSdmFFzj5YLY8nZRly2p5\nzud5vI/d/1BSFkW+zvVJgiy/A0Z2wTvdWzLBM1Ecm5D9tU846AH9Pve9dGkkKcsMn5M1gZ9r0Pq5\nxaORWIJhjCRebTxmQP9128uivrwbafv5iNSbuWX+kLEfb7EEi7cdL5f8T0uXL7CF/xuf/FRS9u4f\n+5FkuyDevXiAV27rmJT7grkn2G7Avirsq85gMBgMBoPBsONgH8EGg8FgMBgMhh2Hmx4OkeoLEQJI\nDzGpS7VR56DoPLg4s+LOaHXBzSZu7GYTTfX8t5lSM7gTslQuo2WdjpJYQvnuLxfV5epCdn0jLyOT\nY5dPPqeuck/CeJXIcEONFhDVmuLijPsY0sAuulSgLsogzXWfy6rbk8S1lo10v5GCNkShwG2z0tdU\n5t7dkgYSTiDhFxGEUpAQ0GY3NfDehzGUc3qNfKBtvCqu21ZP+2ipwPc7UdHwi3qDf29Fer2uuBtb\n4P4N8/xcPcgvEPWGd+154vTlZDuWfu6gntGNFotrK5fWaaRS5LrMQOjD3kkml959cDwpmx5jl2S5\nrGEn/tQZ6B89CbmIgNyay2k7eNdsp7M93KrV1LJ+5F100EfDAcyL7XwR6uqlk3CPrWQVPmhhbZOG\nGd69urq6mpStrKwQEdHhQ7clZal46/5EShT145GIqC/9vdlQl/r6+kqyXdtYICKiEF4zPrKk2oc5\nWfpKoaxuak+i7EHlLy3Pyj0rSWtm5lCyXZDQqRBI0em0hMugW9y7T6HZvSu109FnzmRgnhpiJGE/\nGNIi4yYAspwSiLSk29Z2aG1wv+i3didlYcDhEEFW69T3904TCMMSHofjIpPj9ziGy7gA3528b1cI\nlEREqex23mGhwv2i19B5en2J+0B5fCopK+/aQ0REOfhuqG3omJx96atERDRx4A1JWTY3dDzHBD0Z\nc1sd//q/fhKmBeECPgoG5mklyeG303YCXeQZ4hhWMyD0AcPMtgei6j3gd5KTTufJcEREzz3yCBER\nLZzWsJou9KmoUpTbGRDbgJUiF8QIj/gGIg6H921sMBgMBoPBYDDcJNx0S/CIMOO6vdGkrNtTC00o\nq7ZaVVfg1SoTKtptsESI1WFLELhYKsJQV7thyGWljH7fo+UoV2YLcJgDi4ZYAQp5XbmkQl5WpB2u\nnravvIZQvexVARKagq60DdRL2luCgUzoCW3ZlFpYstJ2WbAQNPt6ntXZOSLaSrjJC9muDpbnQNqm\nDzJ3HW/NBdJUHPN2DcheubIOg1KaLRpdWFam5dLdhlqliqIdlAYrcr3LhJ0QSJk9WV1HIMOVDbYT\neIYFWbB+5TxJECTmxkd03EwLcSEAy1utwZalzYZamNalrp85fVGPnRgjIqIDMyqJs3sXW4orMF47\nHSFOIhGzj0t+/oOj0FsqUM7LW69SoT5fIHMJGg1Caf81kIJb3FBL1Xq9s+W6RES9Lrfxc2cXkrJf\npuHDI19+lIiIFpdUQmpphbfvunx7UjYiFrxaTZ/byw/ddexOPaEn5oApZXVVZaxWly8REVEaZLPy\nWe4/oyPaxmkZYIWyWuX64mFZX9V7PfHyc0RE1OrqfV1e1Dr3Hr9cWvvonulDRESUyev1WjJO00DE\nK5b4vdAHOcB8XgjTGe1HU0UlXQ0LPEGqKvXNhfynsltJbmow3m6tJSIaF1JbdkQt8q0Ge+Dyed3P\nz/PFcZVI85b7MK3zYWWKLbPdnpZFMHDaVfbQ9araxpW9LJEWZIBQLcfU1lTabOnsS3wPI2P6zEK2\nRdNeHzxEidUX3ge9ns5Tw4a+eEEi9L6h98JbaWEucmJpjRzInCUHgWc98tJm2+XQHLxrox54F6IB\nkmx+jgUPbChzdQguBz8DLF1ST+P5p1kar4Qu+GuRixPiH74D5B5fWd7wqjBLsMFgMBgMBoNhx8E+\ngg0Gg8FgMBgMOw43PRxiV4XdKWtVCKx3moWt32WXU7ejLq62BPWHAYQsyN8eEGQkmRhlQBcwLzqW\n+Sy6YNQlQuIu73dVa9JLX6ZDIO+Ji2lLhqRgZ4Y+DEII3oai6Oy2Aq3nRH8RMsY1NtjFnC6qu60n\nlT81vS8pqzeVaJMX12atocS4eofbLq6ry7oihJ1+BzJfyS1MAgmy0eL2r1b12FxZ+0riygEXf1M0\nqsvgOsxlOUSgBK61YpZdeJtV7MvsbusBGTSTGt5+9APvuS/ZHhWS2yhk90Kd2G+dZzfmuSUNLXGO\nx1BhVF3b8xvspn32xIWkLEixWywP4ReBhB7dc2hPUvaGO5mwNTmqY3O6ovNCRlxueF++BzTBtd0U\nnfI4Vvdnu8NjfKWuc0GpwG146ry69THDpUu0MpMiqot28v1H99Mw468++xkiIopB49hrp27UlDya\nkVCELoSdhFIHZy+eTcrKkrkvTqnLtA3Ess01Jsm5nrpX09L1906CDvcEh8RcgsyDaRn3zeZ6Uray\nwu7wPoQWdTd0HK+uyvUgdObCeQ7BqUDmz9lFDrGKICypKKS8AzPa987IsaWyhgP99I//HA0bPPGs\nsamERx8i2KxrWVP6eaasZLI0hB4VSgeJiKjbUTJZdZHHQWVSjymNctjSCJDSErYdDIyiaAtvVoEU\n3AVXu+jSViGEpjDJ9Z+HcAgfAxBktR1GZmSsBTDuByQqSxd07iru4udLwbm7Va2fYUOi+YtlW33+\n/BfGqSeebc3q5rV8UXOb695BqEUq2R8ySsI3jye6RRAi6mRecJi/QbbTmLVX5t/nv/hIUtZc44yj\n4/s0VDYDmv0ZETnoQ0pXv41hsdGAhr9mxjyAWYINBoPBYDAYDDsON90S3GmxlaRZm0vKlmu60kwF\nbAlq93TFcfD2+4mI6FBJV3Hnxarz/LNfT8oC8jIweuz9b3wbERGNAZnnW2dPJdur82yVKuR1JTFe\n4WpIwYoqLcdnC5B9xtmawWN1HUgzPnMU/B6LHFo5UAteTspQbufYPl6d33vwUFLW7+vKLxSJn4V1\ntVQ9fZIzGzXaajGuSPa4yrgSJfzKd7Oj1ocwxfuVgSjTBz2VFZGPurSmUk+SEI9cFohxjo9vg/RZ\np8+Wllx5O2lwYU3vtdbU5xs2PHj3oWTbr7Yz4FVZXlPL24mLXEedSH/Pi7xZC55xZmYvERGNjqpE\nWkost7WNjaRsfp4lsE7Nq9U/KPDvndNqJRwHWbX7jrCc065RrXNvsZjDOm+ItResIbUWt3sPiCBn\n5riflfLab6dGdQ7wWfKqQKx0He4Xq2BRHkYseaspkFWzGW47lHdL9z0hR+fVtBAKGy2t06jD57t4\nQa3D6ZS2ja/pxUW19HnLfi5Uz09T5v6FVZ1TstKP2pDRLBT5LJfS/kZgeQ4cly9vah+tCrm6BwSp\ntTW2Lsdp7TMX5vgeZxdmk7KLc0y6y4CH8Kd/nIYOft6d3H9HUua9F2vz6n1pSEbPsaKOQzfgE6Bd\n176wcpnbdnRaLeSxWAKDQR6tLTJVklWzqeOZAiAjCqmtcu+bkrJUlt/53Y6Opa4QHrMF9SD6bSTi\nJZZRsG7i74URtkz3gZjfowHyW0OCwEtUXsXCmWyjWABttwT7OW9LmUwBboClF1s12GIn5eP7KIyW\nZPcFUYHAE+O0b515lrMHvvT1J5KytPewYcZRGM+ewIlSjV4ycZBsmttSD2YJNhgMBoPBYDAYrgr7\nCDYYDAaDwWAw7Djc9HCIVpdN3htNIKrFetl2R1wr4JpaWWUCBAZyzy8ykaZZV6LExBgHVPfa6m55\n5nk2u+fzGkrRaqprxWfQiSHYOhIHQK2p7u6CmPTbQKTp9a/fxP56RwdcTjlxe8Rtrb+u1G9uVN1f\nBcngdmgPEJ/2McGhiMsxILakxF2TrWjwfHiQNU0XF1VzsFjk37ugE1wocNnxg+omLHmdTyBY9oGs\nsVbjvvTMec1i8+yJZ4mIqL0OoQ9N7hcOkkrV6uwiz2S03+alX49l1KUeQTa6YYPXySUiyogLHIoo\nBaSIpoQEBFndod/lejl7XjVL73/jg0RENDmlmsA1cVmXIdzIk2tWllU31EfONGpa989T50z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CYH748uuMovL7H6iNurc06urNvDhox83+B7B/Wu/bTV6eoY8eECc7M6Z7UkLblPVU9E9LYPficR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\nqVc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/7jq8AWDSSRjPHgDP8o6v0nUYuDp9u3X9S19mGfffJee+c+6TkPeiO1+i7O8B+L0d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usYiadgbk3JPM11Xg9OL+u6EOzlNeDITWp5fmWBf18Hy1chq/2VE43nNozHrGgdTy4DwWMA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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(10,10))\n", "for i in range(36):\n", " # Randomly selects one image from our test set (same used for error calculation)\n", " idx = numpy.random.randint(0,testData.shape[0])\n", " X = testData[idx].reshape(1,testData[idx].shape[0]) # They are already normalised...\n", " Y = testLabels[idx]\n", "\n", " # [1.,0.]=>Dog\n", " # [0.,1.]=>Cat\n", " pred = model.predict(X)\n", " if pred[0,0]>pred[0,1]:\n", " title = \"Dog! [{:.3f},{:.3f}]\".format(pred[0,0],pred[0,1])\n", " else:\n", " title = \"Cat! [{:.3f},{:.3f}]\".format(pred[0,0],pred[0,1])\n", "\n", " # Visualization\n", " # But remember, the network was fed with the same data below reshaped as a 1D vector\n", " img = training_set[random_selection[:int(len(training_set)*(test_size))][idx]][-1].reshape((32,32,3))\n", " plt.subplot2grid((6,6),(i/6,i%6))\n", " plt.imshow(img,interpolation='none')\n", " plt.title(title, fontdict={'fontsize': 8})\n", " plt.axis('off')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "## Testing using the test1 directory\n", "### Images the neural network has never seen before\n", "But first we need to load and prepare the images" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "# Returns the current working directory\n", "# (where the Python interpreter was called)\n", "path = os.getcwd()\n", "\n", "# The path separator used by the OS:\n", "sep = os.path.sep\n", "\n", "# This is the directory where the training images are located\n", "dirname = \"test1\"\n", "\n", "# Generates a list of all images (actualy the filenames) from the training set,\n", "# but it will also include the full path\n", "imagePaths = [path+sep+dirname+sep+filename \n", " for filename in os.listdir(path+sep+dirname)]" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 134 ms, sys: 84.4 ms, total: 218 ms\n", "Wall time: 21.8 s\n" ] } ], "source": [ "%%time\n", "ans = Pool(number_of_parallel_processes).map(import_training_set,[(i,img,new_image_size) \n", " for i,img in enumerate(imagePaths)])" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "testing_set = dict(ans)\n", "del ans # this is just to help saving memory..." ] }, { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "### Selects a random image" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "idx = numpy.random.randint(0,len(testing_set))\n", "X = testing_set[idx][-1].reshape(1,testing_set[idx][-1].shape[0])/255.0 # /255.0=>normalisation!" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cat! [0.0523850880563,0.947614848614]\n" ] } ], "source": [ "# [1.,0.]=>Dog\n", "# [0.,1.]=>Cat\n", "pred = model.predict(X)\n", "if pred[0,0]>pred[0,1]:\n", " print(\"Dog! [{},{}]\".format(pred[0,0],pred[0,1]))\n", "else:\n", " print(\"Cat! [{},{}]\".format(pred[0,0],pred[0,1]))" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "img = testing_set[idx][-1].reshape((32,32,3))\n", "plt.imshow(img,interpolation='none')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "data": { "image/png": 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scI06aHwPrA63jt2OaAJnQ7UWiBwzDSEDWSgWqEIeLOVitWo21bJcrernTz3G\n7X76WehT8vc7vu9dadmtt2uGt60ojynJjfztU6KBdi9UhNiBYrupTWZ0LfxERPmcbTvQwPa5TQYD\nfe5IJsQc9GNPLHTNtlpZO6IdPBGopXfti4vpcbnI5KzhXSfTsoFY38uBjvc0eZync8Vcge+nHqtX\nZX2VSV4+jN0QLMqT0jbGU+tVriTapmf13Bfm+R7HxnQer85xH8gXlQgdG74O8OdGEk8+9qgcIcmN\n224cSFU2w9iBAwfTsmio9TI9Za10Ok7zBV63VxaUYPelT36YiIgmDt6UlmWFKI1EqoF4gatjeg9o\ntbSZ61YWdc5ZvsjZyqar2g5vfMd3ERFRqaTnsYN8J+3gnazDfO3t2VuvPUPd849IPDGYcS8Pnrix\nMtfH9Mx0WjYxyf24Azq51nN64ZKOTXvGLuRnsCTDIWTs7HbVU2BJawUgzmXleBoIbyviPYjgna4h\nYge9Hoxdq9cNnocEXp3s4aZcDbaNYyToiv4zeIUwM+jV4CzBDg4ODg4ODg4Oew7uJdjBwcHBwcHB\nwWHPYdfDIQZDqwEJ5BO4bL8n7tPhgLaitq66gFUJ+kfTuTWnDyEAOxhI8LsPZeBftxqZm7yeQmwp\nQerV4YDvu7Wmbn8rkFjIq6vGuhAwJMPb7HDZ9lwvBvz73/pAery8wOkRex11ayVDdlO/8b6jadkR\nn+uyDaEPA3FhhBnQlwQXVa3GAfwxuLhsetVKRdtrfIZdeYsLQOIasgvvyBF1ey432SXsAVEtBh1L\nexnUtvSEPOEDCc4SA5FgZ4UvDX7P7jMNkjFGd++5Vgd3VcDu06FRXd4CkCIiSwQEUmgsmsprKzp2\new0+z8QEaOtK/fV6StYolrhNQJo75UXFQIZanFe33uICu+drNXWBHz56nIiI7r33VXru4g7kJuln\nhZK6zjyzvW1KZe1nqhsOLlfprgcOqdt/FDFW5OeMhpjyXPTQAw076A/YlZrb5KaU8J9A3bF+xqZo\n1T6x3tB2mgy5rm43SthKJrkuzzz+eFr21MMcRtWH0LOijM/xm+/Ue+3Y6+m9zmbVFTxW4TkgD/rG\nqw3+zfqKhtOsLnNfGQBBzE45uYLew9oaj4UyRMuMIgp5bidcYwdCeFta0Dn5Y3/LutmTU0pOOrBf\n668UJvK5zpd33cNjaP+hm9OyjQ2uy49/6IN6DyWOGWl2dB2vi3Z3saTxJBlIkTxW5OPL58+mZSeO\nHyEioje3uWwuAAAgAElEQVS84wfTsimrUQykVpsaHdMeXykMwiINh/C2k/dGEhJ+sG9c5665I4fT\n49Ich7UEOf281eN2b13WcIiu1FUP5tCBpDrvQgry8TEep4uLC2lZBnTBBxKGND6muvFWo3pmXMsy\nXc7vsL4E4Rd9voc+hEP4gX13wlTK23MsePCyFtq00KATnHgD+a2WjU9pCOTVMMI9wMHBwcHBwcHB\nwWF3sOuW4MYG7wa7HQ2wNpAVxBMimwHrWD7NQgKkCMlA1mzqDmdqmrfoKNnRaTMJB7PeTAA5oFRm\nC0M+r49eKPJONQYpktoK74Yynu4uKrJTCoAoEyfbZT7oCjubFxMuPvtIeuxJeyYgK1YVeaFpX9ur\nL3JofTBEkewG52bV3LKxrla9NbEEh1CN1tLeARJGb4n7z5klleA5UeX+Mz0GGQqXLREI5KwgU2BK\ntowxq9J2dmNqTdjBcohQ2RYgcACxZ9SwUtc6jcQM2wCiRBZIcpZ8M8jATl2kDn1PCXRFkVJD+SRr\nieiDJSKuS+ZGsFiEQqaLwNtT21CSTqsh5+np5xMTLKc2Oa596rksPmbT0E2FENOyTeQb+3eT1Yl/\nk82PbiZAIqKusBEzIZC/etyGeZhrfbGsxCAzGfo85/lZIM00uM4zYKG77aVqDX/b3UxGzHr6m5m7\nbicioj9+/HRattrmPjN7SGXMAvHK5WAeH4rU4ZlL2v53HFBJv8USP9fKBW3rhYu87qzVkLAl5Bog\nHFkyUKutsovWm2jMtWefuhEoioV/2Nc11hKH+n0dF9bbunBJLX311eX0uCyk1/jJM2lZo85z9g/+\nk/emZYdP3EFERMcvKBn1/AWWx8yDNzVXsBZKsO7BMKzX2KI8N6O/ef2b38xlB46kZVYiDS2ZOZEw\nRc9wahXGsZlsJ85h2SgT40ryXhPBLS40lZg6ucbzTQLk81Wp0/lFtcJmJEMvjmdLShz0sU55jOdh\nPvfBupoROcXpcW2v6Ypk7ptW70J9nN+nngTJsrOX2SNRg8yeOem3OJf24X4CO6+CfG4ipF2Uowxk\nVk4MvKtNXLv7xlmCHRwcHBwcHBwc9hzcS7CDg4ODg4ODg8Oew66HQ3QkULveVtN4vqiB8oFYsHPg\nSrRujS64pnqSlWgAburTz9isMuhu4eMI3dnwmIGEX1TH9R6yktFoZVEJQFlxCcQDzEIi1zFaZjOG\nbSbD4d5idN0t3wgGQyU0BcZm71G3Z0GIboOWum/a1jXnqet1UjSXS2NKTjp/QV05ViIQwyFsrH4A\nWqOLa9x2IWQHtC7ewIcsV5LBDTyh5AMpKA3VGaJrEeM3bKFcx2wvijHbnLhqfHjmaADZ8UYM6Phd\na3IdNAaQscfglMHPli3qs01MM0FiZlZ1IzNSMajDXZRQilZD3WMDcdcloBNsdSp7PSDc1LR+OykR\nR11hNqtZs62hMWMRj/EgAH1wIVcgyWIo50EX3RCIZDYsI4kh85xtdzjPKMLOjQVf2ybOcNsmkbZN\ntcSkkmZXx64lqRCQIIsVbsNjVXVd3/my4+nxZJ1doP2hnvuS1XMugkbvjGSTyuu5j8xxSAuGmPiS\nTcoAGaod6Th99OzHiYhoCBrOvQ0hODehD2f4nJWyrgH1DX7WtRUNDxibYZ3sbmt0xysRUSjP48EY\nsIKrIHuc9uM2ZNDEDIqWpBzDpHbqWQ436bWV6Foq81x98Mgh/e2Ax/GzZ5WINzHL/Qhd7iFkZPRz\n3I433Xw0LasK6arf0ZC4TpuPN+B9ICdksEpVCVnZzPZwJBzHdnwmL5BwCE/eN4bwPgHRLbSwLCEG\nLR0DdvnLhlrPQwkjSSAcwuo61+paVm/xfFkGEvGr7rknPX7H295GRETHjmjIkw1FGLS0vS5Itr8H\nP/35tKwm83y1AdkcD0j4k9lhESVKiZAY8hKIdnIb1nnfswQ6PU8B+sXV4CzBDg4ODg4ODg4Oew67\nbgmurzGJodnV3efcIbUcFcd4t10uV/RH8kLfgWwl5Qp/HmGUuOEdzgJknLG7AtxcYDB+s807EpTd\nSKbF6gu7rIFcZ31Vdy4Hx3kHDMaQVLVls8zHi39vsZOUlOdru1prgYnVsrIo0kRjc2oFetmdnA9+\n8eLltAx36laiJQZrnDUoRmDOLUpZrqiN05Ndah5UzA7v4350bh4kZPp6vSixZBhoZLlgvIksZ58f\ncrkLwS4CK7KVWkMltV5Dn3XU4EF2HjuIBkBC6MVKVLLtVMmCbJqUdbtqtSlLHvuZWbW8WTLrMmSF\nbMt4H0D9EUkWI2h/tApbmSuUSrJeii9+4dNpWbXyLXy2UAkcrSbPBfWmWqN9IVclkEVweUllEisi\nw4Uk2oFYWjC70ijCa7GFJw9Ek47MoQOwEjX6XH898ADkC0LSge/1+9zGuZKaG8swbi4LcaoE8klP\nn1dSm8WhGSY5ZQL9bSTE1YHRtr55P1uwZ8s6z7SW1AJ1cYFJQTHMv20Z295Qzx2INFdtXWXTskIu\nGi+Bl0+sTbW2XmMUYYm7VjKUSC37+RySVrkOshn14nV6Q/ic27gOlsVag9u4Vtc6GJ/i9s7ldTzn\ncmyFnZpQK2JTModlwbOTxNstfSGQMgsie9kD8nB5nMlXpaq+I6yu8ryxePm8/rbE3yuAJRNlLXfy\n2Iyy98YXCyiSej2oP+ulxrqyUocBrM/VCs+/t73yrrTspS9l6cHf/+PfS8vaLe4Xx269JS07efIl\n6fHcNK/blQIQay1ZsQvSidKuHZBDs/fYAa+KzYSXA6s1eiYCmdMxo6sv660H3/Pkcw88AdnCDpKY\nV8CL/23NwcHBwcHBwcHBYQvcS7CDg4ODg4ODg8Oew66HQ/TF3dDqqAsGSWu5HJvRc+Ayse5OH9w7\n+yUIfxFCH/bNcWaSqTnNevPMU6eIiGjQU5dOD8zyF89dICKifFZN5zYb3XCoroblRXa3RJDJzrpt\nPAh9sIQ4sweyxCEw9MGXYz8EPd4iuy79rLo/9k9zuwdQ9zarTOKrSySBz7uiE1rNalf1Ikvm0fYq\nSxiEB9/LVtnNakiJGW97FZM16m1to48+qNmrNlp8j0Oj92N1jYcGXWtC4kKShW81hiGLkWRuGgyU\ndNmqj244RD6v+r722SJwi1vtYCJKuzlqO64ur8tvdNwc2c/u8KPH1C2+tFST8+m5O3KeuIFERG7/\nRgPmDwjPsK5CJEVYb//8OdWQbYo+5fiYhkM0hKzRgHAIe4dIIvnyFz6bHr/61axjWixou6+v8Vxx\neV51U286qGSxUcFshvt+3NNniztclwEsBYPIZsbU+beUYVd0xteyxoCf+8Kyav72H7mUHk/G3Pe/\nBiEQSy2xuwCJ1h9yyNnR47enZYE0Yg/JPJLtMw96oN0EXMU1noc6MC+Eomudg3khKHI/a3d0bko8\ndu0bCBXp2XoaYgrD0YOtqwjWL1/CUrKY3VRcyJMzOsa7XSSZcnt5OtRoo8FkqS9++e/Ssje98Y1E\nRDSzT4lxLSGhWl13IqKWhCwUy3o91Apvy6UjmEMbdQ6fq69rGN1Nt3K/CCDsam7fnNyztuHqCl9v\nvqa/zWTULV6UcAkMXcSwp1GDDfHa9DYBYQA2xACJYxl5R5kCndw3v44Jbffd8+q07NS5rxERUaur\nYYGW6FyCcBJLoCMiqm9wSEyIGVFlHaxBRsblZZ7bJyeVgLtWE+I6hK2RhHMkWQh3gPGXthO8L9rw\nwuEQdYIl62xJM1NiaNDV4CzBDg4ODg4ODg4Oew67bgmuVHk3UALJihmx4BIRVSX7SAayvtmg5gDI\na3mRNpueVquvzRV9eErzaTdkJ1pb050Jym4cltzbEewAW0KWW1pQC92akGGmZtRyFAhpCIO3VRpt\nb+0najW1emWyHHhfLGobd/psgZi75eVpWX+FLUbPfu3ZtMwXS2BxTHeufSBB1br8eRYIHv0Ol+Uz\nuquMhTBQBmJXRvKad8Cq0Fzke2guadakW3y1ZA2yIvkS606yFnMfvjBQQl+tZzPGASFSyAh+oNYX\nz2Tl/tRisdJVuaFRQ6UCBFUZN8OeWova4GEZikUeSWlhyPUWQtYhT3QQN4CIdP4cWweXlrSsK9fx\nISNjJst12m6rearfA4uXXDubU2tTWbJCEozxpXn2OOzbf0DvXzxOAcjXWemzuK+Wyk5HPUlG7g0J\nYm2xKCcjTLIhIgplPCSQIbEn9ZcL1PpTkMxhBNaUVKYJ5P+yMc/Z+6e0Tl9+7Fh6vPjEk0RE9BcP\nfjwta4q18o5b9DdGrFdd8ABNlXk+aK2oB8WSor2Mjq8A6jwbSN8Dy1gs3bkIMn5rYv3aWFayV39o\nSUhaN1HEY7bTQmvZ6MEShGMgTXm2DoCRG4rXNQBrW5TouDKy3jaaOsZ9ISguLSo59PJlzijXG2Cm\nTf7eBFj/+jH3mWwWxnOoc4UlbGVz2u4dkdQsFnUesoTkGDxsNnUjWipnRFavC9bhlSXtPxfPsxfZ\nQJ3gdUYNlmA/gPWw2wOZOGnHyayOh4NHWKLw9a97S1p281EmulUraind2BDLLGiPWittbU3Jyugd\nvzTPv7l4SfvCwTlu7xoICBjfShDCnCJZQ4dA4utLhsPCAKy/sH77Ilfqgy18kFgZP4WosVK+pG0Z\nXCWTK2Jvvbk5ODg4ODg4ODg4kHsJdnBwcHBwcHBw2IPY9XCIl917HxERLa+qS7oyoWb5smTtqY5r\nmQ2hOHP6bFp2eZ5DFXKQAmdoiTTAo5mclIxV06AHCsHfBw6yG25jQ7NJWWKMJc8QEfWFDVWoqBai\nJ+4Hs8nUbuD/ewd9cOnHQ3YrepG6Uayrse8pQajV4LIeuKvqLdE1zGrd37RfwyrmL7EbOwAyTEfI\nMPWuumoCX3RFY3XX7p9kt26uqNnoghwfNzsazlFfUbJl1pcMb6Tnng7582pR7/FShvvRfEf7Y1fc\ntTE4ayLJXhb1tA8OunqeUUMImo2WdJYFN3VnVes3EPJgBggr0zM8dm+9/Whaduggu8XOP6t1/sRT\nku0IiDQ2zKhc1jq1YVLo6jVAprNEvjK43iyhoj9QV+/aOl9vAO64obhzgyyQASXMYQAhIBG4I62+\ncQJtPBDybOY6yBg3Ar0e1weSRzMSBtFH7WUhr41NAIlJCJ49o/Pm7BRnfHr9He9IyxYefyQ9/uoz\nTEKem9K5PVPkukbt4JZkB3uqpq7r48dvJSKiag40X8VVvgFZ3dp9bc8x0aOG5qJIXN+Br/2n0uVz\nrjb0mZcv8jxTkfA8Is0k6XmYAXL0kJH+OwQSt8146gGJyRK7bcgSEVGhrM/bbsk6CFkc++IOX4aw\ngiTiOsdV0LquxyEcoisNEUU4dmFuHMqqCeFIsZBeW5BZbEkyueYg5MlL8wGATruEP+F4zZd0/bZ6\n7ysQYrN0enRJyk3RWh9C6FUxp3W1T9z/U1Wt89e8iUlw+w6cSMtsJj3M2Glzg5bh/ca2e6Ol7X/6\ntIYKfs873klERCHMH+Ml0YfO6xr7yCNfJSKiTlvXvNlJDm+qTui99kRXvb+J2Kd905M4Bz+B0LM+\n37cBTXFP0uhlynpuuo5MgM4S7ODg4ODg4ODgsOew65bgiVkmsoUgt4NyRjZjSx0sQp/8+OeIiOjR\nr6h0VavDFoj7XnVvWvbKb3olnxt2tmOSexw4dZTtqKWqIyQ4lOowYlnsIgFGzMv5Auw+rWQJZhMj\nPN47OL5fCYpDIVAhQaoisjiFklp8wqmDRES0cUktrxXZIZpIrXbVKd3RLS2wdXkIBJhQcs4b2CFa\nDlQWsg9VZ1nCpzyn1uickC4nYKd85pEvpMemz7vXAHaavs8Wllz+TFp20wR/r5pVmaCvLHA/6g+x\nT3DZELKgDQYdGlVg/SH5a6fPraUYrcdFkdc5cVLrt9thy8uFBbUiLgghDoxXVCiyVWF8TPtMpcpW\n4TZkGmo09Tw5sYxkwRp9/jzLdAWh3n9LrIidLhDsxIpYzOszBTLuO5Dh0ofx7gWWEKnWwYFYSUfd\nEjzYYCtKBOSv0LfWQa0DSyjtg8ciG/JvkrbWaUUm2cXzauH/j3/6ifS4TDxG5qaV9BqKlb9TX9T7\nkraJof4eXGby7N0HNHvVrTnxzvnaho1E7zHqe/IX5wWeGLpAdMwG0ldiPU9W+nIPrGDDUDJR0Whn\nAsxkrMVabVqWmOoDccxKWNpsnkREuU2SiPZAzx1KXdXW1fPXabLlvlAC74uMoV5f1/Zqia3M6xsq\nkZeAxKLll4ehen6SRMhZQKLtD89uuhcize4KnHeVOwMrYAZJd+KBbIGlG5911GAzplVA5u74gX3p\n8cEJXoOrZfW0jI9x2+ZhnvatFwTWy7pkAIyhAkMhmpdB0i4P6+BQ5kScLxOxujeBuPzYmaf5fDm1\nMh/bz/f98rtfkZY9fZnn6YsgLZnUte0sobIHRN5Bwp8HHpLiuWxTlrhEvYVXg7MEOzg4ODg4ODg4\n7Dm4l2AHBwcHBwcHB4c9h10Ph7CanwYycC0tqiuMDJvji0B4W5asUwbcJA3JBvPFz30lLbv3vnuI\niGjikLrbGuts5o8G6sLyQNc3I26iZkvN960W30MI+ok0kKxJEA7hC8nAQLXZTHGYOQx9LOY6ArRf\nSPieb/3m9Lgj2rFtqFNfNDsrY+qq6Q44dGDqqLqjpg4wucb3tM4GEPpwLGT3Dmb9a6+ze60HbvGi\nuPgm9qn+aHGS9ajz4L4x4ibJFtRNRll1o2zUuO/5vrqOMqKliJnKgoDvYXZS++ixCodxfG0N9pZC\noux01L0XRdfuqnm+UYRsQbbOh0O9X9QRTnbwnzaF/PjAxx9Oy6z7caOuRIle12qbap3a6xUKoHt5\niPvHxQvqMuv2dPx1hVwxBDKMHe8JaD1fvMi/X1xQfehYNFDHIJzDelQtaYNoc7iHkfkK+0JPSHSl\nyuhqjhJhlkftn9mCZGEDnfaBtGvOB9KMz22YhXHaaLJe6LPKYaLzlzRL3+23cSiDPwaZFiPRVAYX\npy9u7gkg6TQkbOUSkCBLZZmn2zruhyVth6Qt8/MAXLzSdjFke6RASFUZndv3V9l13wZC1kKLr4PE\nyVGEJY2GoBebcrc36ZjLc0PYBGqrtkQPGYmwTanr1TWtl4c/y9njXvvaV6Vls7Os0RvkNGxpfIzn\nkslxnX8XQIv/4EHW7D909GBaFgpxrgPhT6FvSX6QHdBsX3dtFrFNGt517Ss2s+Wwj6FMEI81YsgL\nEXBuXEn++6dm0uOizJP4fnP23DNcFupYOiCZ/TDEz67VmE8hL+OwDO9Bc3C9yRmeizfqSiysr/B4\nXl1Wsmog5zk2q/kgpuUZbr9FwyHGpvjzRlP7Vh+yk3ab3B8HA22vXJGfKwOhHZGEcmWg314PnCXY\nwcHBwcHBwcFhz8G9BDs4ODg4ODg4OOw57Ho4RF3cEZcuqTszjtXkffTkUSIiGgOd4M98hkMemg1l\npFqJuwRe22s1/vymwkvSso6Y+RsbmhLTBzWKrjAcP/Tnf5uWWXfLq7/pbi0T1mwewjR88TG5nQPR\noZvvSI8jYdkPIKVuKMzOHOgakmi5lvepskSjzW6vMKf1HAODuCRulOkMuMIOccjDEFwniYRfmFBd\nlzZNKKpIWMZ7G1NDgtboUFyLMfzG6lB7kKsxkH4WlNSVc6jM/WhhQ59lXe6xP9BQgHiE0+tifw+F\nrT8A9+Gm9MVSjpFAVkMbwwnqor+9KWTI207vzklq7Nq6utsuXeDvYUgGhsb0RTcyDLR/TIj7FcMh\n1pe5vc+cPpWWTc/aUBx1o0VDCV/pgjsW3IOesUxrCN+R9J9+8PW5454vNDOitZ6o+kbscxjRal8V\nW3qSljqBsJ3CGI+r0Ohzn74o+tmkY+B1r7ktPc7fcjMREd0BykBnT0na8jYoT1TYTXumoWMkJ2ET\nBtQLFg8fJSKiCVi2+qBB27PjFFRqEgl/mpxWt66d2/uhusonRIVkI9C1oiZzU789ui5zIg0F8kGc\nxGrmBtAnC3l2JXshqiXpOhmLxnoIigrl4mDTNYiIzp3lfnTsyKW0bEa0oA0oaZw8wW74Tkf729ys\nHu/bz6o93ZbOxdk8f16GFL82lHJTZKH8I4IkAVadCMMhcK61x5umIW/XX4G+blQlvOrEsaNpWQZU\nH9YlzKwGab3rz7KqymJHn/sfHONUyjlQublFdLgf+tyn0rLJKl/vZbfemZbd8woNeTl2mM/z+Gkd\nD3/2YX6P+vY3vDkte/cttxMRUQPW2MOHOPSlVNX2Hybc36bGNNyjE+u5M/LS127COi99AEMKTYH7\ntY86yMm1y3649zkHBwcHBwcHB4c9h13fBi0sMHkik9HdZQAZQr72BAdyHzigO/XpGd4FLszrjrVQ\n4B1EF/Q7bYa3fEZ3ONUK7+jra5BNDALC/+4LjxER0dkzSpCZmmBryCJkxTl6gncuaFXwxMq1aUO6\n09GLlAyHKE9q0DtZ6ynswEOxvvvDtW1lYxOw8xMCxLAPOzvQAAyzNuMTZgbivz4SlvxwW5l1H/SB\n/NDrsyVzVQgEREQ9IMPYk6OWdWr8A6tCX8hQrRoQC0R+c8KoVe3sEltGOm39HmYbGzWEQAQNhPwV\ndoEIugPRBskldgOOY85mlOuADre12mRC/V5B9DCLOWhDqSrMGDcAD4AlqBnwHnTECj1/WQm42Sz3\nhXPn1BJcES8DZoC0fbgNWQ0D7FPygFGibWiJGwHomI4iupE8Z6SW/UyLn6PZVwu/1f3OZrStvYjN\njAlYXnOJENGK2h7HblVd32dkTj9zWXVi4yxbm3q+rgcX5DrdnlqHiy2uy0JD5+nMabbcrjVhLIGV\nyHp+cnOwbqyINm5By/JCwJvdr2tO1JHzgJdyVsh77fao6wRLFkOwftmWy4JV12qtF0CPuQeW4EqF\n19jOhD5vNOS+Uoa5ryzeoh5kZLRatKava+ipJ3heveXOl6dlMRAibcbGLLwbNJs87oIAyMx23cXs\ncDIfYNlQrP74foE6uJaAGUAfjq7dYPi8Y98ke0zHK5rV7zIQ/c4s8PzWhblqcmqOiIje9G2axTHJ\n8hybxDrP3XWUPTbv+ubvSssKk+yp/ZY3vj0tm5PzEWldT0BWwHvf+AYiIjp08nhadniC3w18WOas\nFd4AiboqFtwykLEJBA2MzMU4/yZCjjTgvc1UWYPYfJ1t6SzBDg4ODg4ODg4Oew7uJdjBwcHBwcHB\nwWHPYfd1gsXbOTapAdGthrpRFkUzeGlR9QNfehcHZqP+3ROPf42IiIpF1b/zxQUeQkD05Dj7pNtN\ndblbAh0R0flzQtAL1FZvxFU6gByuly6zG+5YTVPu2kB1s0OuxT0QAbEJmwkFNr0ohKAYdmXEwz78\nRtysQDQKJFVunAO9T3BhaSpMPLfViNQ7MHI/MQT/D4b8hUFP3UXdGrvoNiBVYwSfl3PcF0pFDQvo\ndbhf+EC+GvT5vmqgn2l1KqtQN9mISQs1SEGbXEfQ/vMN31diXETcdl5W7zcD925dkh7WuYQGdNfU\nzZrLcxvXaurKC2TsbtL+lLIBhBr0hZCDYzgBdqwvc4QHus6dDtd5s6Vu1nyBXYrNurZXt83f83Au\nkJTCvZ6STXxwH1t54GSo9zBMXbPb00yPEorE8xdkSE71eksZ1YvNSlhBUlLXZBJwu2b6UKehDTfS\n87UK2j82Iv79F1cupGU9CTnrgqa4JcK+DHzTqx3+vDevbXNwgt3dvYZeMF/U+x5muX81gPA2JiEP\n4VDP3fX4Hjrg4jeGnyvKahuW93FZ2ME06KMHm8ocXf82nCsA/efEzs9Qz4W81l8aFmRw/uUyq/tO\nRDQ2zmNpcUHDUp59lufTl96hJPVqmdf8Vl2/V4WwlPo6h0pWwOVubzED6Z7tY+Eaa8lvSbJTcCKG\n8UA4hPTXMIGUuyOsE3zs2FEiIpqcViL5Y2eeTY8j0dLOG32Gb3nr67kMwmDq6zLnoQb8HB/f9vrX\npmUzQlivzKpuc9LX+mvLOul5ul7edpJDI1pNDQHsi2Z/IQBRAQlxxDa0RM0xCPfobmg4jSUhtzEk\nlbaTdnOidR1vGs90zXCWYAcHBwcHBwcHhz2HXbcE7z/Mu4oyZA57+omn0uNIiAiDjlodViSr0yte\noZJlt93Bkh6nnjqdlg1ld99paZB0vsQ7yLLsRog2W5EsoWliXHdFpTJb/Q4c0Gxjy6u8I2mBxcLI\nrtPDrcPoGvV2FT5YOxOx5MRQGfGQ2ySCbC9kA91hl2bEugqb800kKNoxI59cFyyCCfEJ8KeWeJH0\ntW+1llnWZ9DSPjFe1Gc5dlJks/LQf5aZ2NMHi3FtnftFuxdBGVs/cyAzdnSGd6mXV3WHO9pA4ptI\nAgLJLQArfppZChpv2OYG2NhQMtRGnesarTZ2fO4kudZsa59ZXWOrXgJSSAUgSoRCgsmBlFZ5guea\nLkip2b6wDhmSNjb4vlBux3oreiCRhuSiSCzTw952z8UoEx6JiLLjXG9RDFZ18WhQRtuhIW1oIDNf\nb4Pro5hRq1PW4zk0NvrcHbDg1STjWi1Wq/rSkK1SY2CNflXIFsMsEFRXljjz3FhBPXrLXfEeVLT9\np6Z0XUmafL+rpG18vsGextmcnicfc3uud7Uemm3uA3lfvxfbrIZG+8Iowg7PIRCTPbFvdZpa99Uq\n11Um1P5cKqtntSMEq/5Az2PngPEJrefJGbYYlmCee+qZ80RElMtr2R2383XqK+fTsqOH9+n1jMgb\nZvUeqiLplsBEbmXQIpBJTMfcpmXByqaB9RfIndbqm3jgsTGjawecmOBMuCWwlI5X9L1l/xTPeYWc\njtOoy+vMs888npbVV3j9u/uld6VlVk4sX1ZPwPgcv6tlq7r2Nc6ox7QgmRPbYK2t1c4SEVEOMgIv\nSp0e2X9rWhaIJyGGedwT6zBmCDUNba8k7Ye6vvhi4gUFOPLlvtASjFEEV8Po9gAHBwcHBwcHBweH\nXctAAu0AACAASURBVIJ7CXZwcHBwcHBwcNhz2PVwiGaTCUFoqh6Ci9y6M3vg16hL5qDTpzUI/PBh\n1u2dm9Mg+o64q545fSYt2y/alLksuAhAV/SIuGMOHtBQi9IEB3efhfNY1zdqw6bEggR1U+0+As3v\n6BbdHqz/YkAMmV2sW8PzQvic62gIxIREXMlIoPPEvRHDfsy6pOVX8n8ItRAvCbrCLIGqB648Smz4\nBbjSA77vg/vVxVSZVBfo5JGbiIgoirWNCxUO+r/wzNfgHrkPGyCRDIUhNPC1f0+W2NWHGc266qUf\nOaC7Kh2z2HWBpEChfDcGoklHXJebzsN1lM8puSaQ8wwgvKLX43HaAV+XJ9qflYL6z0ugC54V4s9E\nRd16B25jrdovfelLaVm9zuO5UgV9XyErdkG/2DPsbmy2lMhYKKkreCAuWdRGHuWsU4ivnmGN5PGS\ntkMxtG5lfR6rs1qEOdR6ogcJhK9EMne3lYiWrykJ7lCR3autoV6vELPr8+5x1eg9PsXH5848nZa1\nOjz3m5be18DjMIdsBzukzu2TBW6nMNHQmLjFruBGoiENQxEwBSnwVOO519OxO1fmNafRGO1QppO3\nsNt5/tK5tCxd8/ztxNMuZPY04DZuy1qNIX7VcR5XeQhz8HweizP7D6Vl5XF23a/UdSxlbSYvg4Ri\nyAgm80EE7u6+3HcGNLftlOPBeey62we9WKsvH0K8oom2r8URlMXD0V2Xi1mu86yvc99NR4+lx7kS\n33sRwlLKdq4am9KygpAkoV1zHp9zfv5sWuadZBGAAOIVM5MafuFJVedA13lJMnFCRAa1pY29UMf9\ngcmjfL5NJGNu63pDSdQBtF1H+sIQswLanASgI207SATvapHLGOfg4ODg4ODg4OBwZey6CePprz5J\nREQ9IKmgZdaT3VkWcmLbAH8Mjl9f5x1HAFItM3Nswd3YUEJFKCwBA5bKVlOtFykRAEg6a0tM4llb\n0exmRSHLhaAnZNLqwr3D6O4kdxOb7N5pFiAgVYlVOCHd0e+kRpO1RoBN1Qj/SLO1aVEkhMgeZJmz\nBMbmhpJiSPpADrKSTcxxNpupQyoDky2qfF8imaw6kI/dEjL6Pb1eV47xHqy12gdZuIkq97dqBcgG\nYGUcNWA2NhLCow+zBJLkfGnbEJrLb8nYgJ14v8ftEPcxo6Ds3uG3Q7Hm+2BtLuZ4/BXzOg6LeZ0D\ncjkep+NzmsHwzldwhqpz59Uq6UufwgxT/T4To2pA9LAWrw5kYSpVoH9IRxwMUPpve0arUURJ5M3C\nno7JTsTjZtDSAZa348XTftqwRMEeyhDJnOxrW8+Cl+xlAVt4C6uanXFNrLRTMI+HWSFsZXWMGFku\n4jZkGBOrZQVkvfot7VNtkTcLIj33tFjG8mVYX4QMiPyonhBlx1E/Tjx6xdw4jTKOHmfvlYFJcmOd\n17QEsm/G8jmuvyvN5fTYznnGaBtmMtxeY+PqLfPEUtjraP9ISWtgoWv3+XtHbr0nLbt8eT49rk6w\nJfniBfX42rV/3z7NQFaW8dcHsqpJJbcg+50Qa3GxQI+lzSqJ2SxNbnTl76zFtQfrxfSMelAqU2yl\nTWK17Afym7AE0oG+lSbVcV8p8G9vveW2tGxS2jjGrKBAWkvEa9QGr1FG5C9DMDMPIr7f9cbZtGxl\ngds4F6iXxmYjbIP3CNd5S5RGwmcw5D6Aa/bQEpvRU+CIcQ4ODg4ODg4ODg5XhnsJdnBwcHBwcHBw\n2HPY9XCIrmT+STVFiSgEE7sl0FQ9dYUVxHWM+nFtcXefOLE/LZvZx8HfD3/yM2nZ2a8xucIHc3gm\npy6aUHy3l0SLmIgoEvKWD8H4UzPsXi2CjqINxt/s9rRugJ0y17x4EYRIghPCG2QOs/HtUQiZ18Sr\n0UOyodQ9eKg2ZXux7hEkM1i3ebuphJyFs0xq3IDMgz1hoKF7/e5Xsau8Oq79DUl5PXGDtzY0NGZ1\nnt01LQjgt9kFE/DfJNI/YnDLFMfZbVOtaJjGxXl1CY4aInA9+aL/6kFY0gD1O+G7FsNUyxMyqon7\ntTfEc3Mj+5DRyg4bz0OXu2QCBDcZnseT0Jjjd9+Rlk1LaMTLXvGKtOzM0zwvZLN6X0HIJ203VdN4\nMOT5pQvhEKGvc5e9jz5oT/s29CcebZtCWeayodFxk/OYIJoDMkwuK3rCntZLp8vk0FwPQkMk9MUH\nYk7e07paOMUu0KV5zSZVE9JzF/SaM9alDTqwtt37HW3rouHrZCDrGIY0tGStqWaUzDMlz9xOQK9c\nmikb69w0LpkCDWTfWpYsWFO5SRplNCT0YWpSM4tls1ynGzVtw1j0vH2Ib6pvaD+u17lf4LprMzvi\nmpaT0MUhkJCrJa7LRlfL/uYvP0RERLe/VEnoR06qduwzT3+ZiIhOP/XFtKxUKstfJaMeOHozERHV\nllVv2Ga1Q/34jDTspiyUsJbYHmCAwD2g0c3yGMUSwgXjIlPUd5lIwgUGfQ3dC4VM5wEh0jbhINHz\ndOR44oC+TxVFD72PIgawprclA2RkNLT10GEWKmjVNCS11eSx3W5o32tLqM1Xv/jltMy2Xauv12uB\nRvzYPg5ZDAraFzJyPzkg/gXSyP0hkCSvQ/95tGdtBwcHBwcHBwcHh13ArluC+0IgySKxpaQ78JxY\niCcmdbddFlkWzB8+P8+ZfwogldQTqZeHH/psWtZaZ4LDxJhaAwzIMN33Wg7S94EsFcpxLqd7gtk5\n3lWX0RJ85cekzanjXvxWYR/zs6ckBczgxghLKkVm6mxZGXZ0R9oXUh1mifNBu8jbgWxkLZBry4tp\n2dI5lgfqQebBruwwQ5DUsnIqmawSKgYDvUa3wbvY2rxaHRrSp9qwSx2IBRJNDRk5N1Ithi22Hpdy\nan24nl3q840hWB1ILMEJyBr1ErCciMUFf2PbZqe+gBkFrRWg39X2yooFEl0BgfSFAsir5WEuGRcy\nx/GX3KTnFivRS25Tq5Ml/fieWk2KRZ6H6mD1b9SZ1IESaPkczCViiej1gaQjzxqNsNwSkc5zfRhr\nnT739wKphTfOsUUl09F6zrd4fjYG6r7KvylXta3HJtXDMhDL7dkFlZ587BSP01ykdZoXy20ur+cJ\nxVqZDcAKJN6nqK/33wVCnxGSanZWz1Mb8LO0kcAq80GIVsCQf9Ou6xiPxVMQZ7WPjiLsHBmCd25a\nZOcmxrVdrbzfRk09WuvrQCQWoOyYtSg3wAuWk7kMCWZW+mq2oGNgLM9WwkwIkoeQXbA8JnKmeV37\nK+KhO/4SzW5mrOQozAsouZqeW+ajALLEJWAVTkmCA5TbHN0x2xPLZg6ee9BVkn8iZLTQB6KwrLdB\nBqzhRX6HaawoCTIacv1VO/p+E1srM1ZtW0l59fmzRES0cOpJPbd8OVvUe/Blnm+11OPUlzpvgz6o\nzWq43tCxOQvEv4G0sQGi+WDAY3HpqUf1NyeZ3JedUOtwp3/tFv7RXY0dHBwcHBwcHBwcdgnuJdjB\nwcHBwcHBwWHPYdfDIaw7pgdEkg7o/U1KtrZDRw+nZSXRVl1dVfN9rsCujADCGCoV/t7hYxrc/Yho\n/jbb6jbAjCrT02wyR/3EXNa6RVH3kE3w3iYZwe3B+BabyXLX72K5+jlHC0mMJBYhDIIfxZOsUz7o\n+RWnOdtN7bLqhg7FTRIDccUHspkNeo+AhFFbZV3X1csX07KuuFkG8D2bRa4yru2fE+JFTEAwAMJA\nX/Ssa6AZXdtgF3obXCwZcZ8GQECwPDHraiIiWr58iYiImuvqhh/hZiWCe08ksxZm4kHChRFX4wBD\nKCRcAseNkb12DNkDbbQEEgst+TGBbH1W7zEH5FYk2RaqHDpVKqpbr9fjsV8uq1bm3ffcS0REX/78\n/WnZ+XNMjs0XtV1zBZ5LIggBQc1Jqw9sNSyJNMPaTkTBUYJnRO+6ps+z0eX58gBkUOyLrrpp6veG\nPa7zcl7Hc3WMx5KX17l9bV01P+88/kb+XhVC3YQgGjW1g/Sk3Q+MqRatzfiZ8SDLoOhSt0FznoCM\nGLfF3b8GGt8Vvm8D2sgtIT16EAbldSVMCkhToYRnRLGebxRhxxeuF1nRi83mNJzEEoSnp3S8YgiF\nnft6kFHO9u31NSU5hYHN/KnreDLkOioWdWxOTrJru1jWds3nNRTy6DHWAt43uy8ts9ELBuYcq+GM\nOQJieXXxIpw/EvkL2Soh5GU43J4dMRnhuXh+gdeOWQgfjVpKQMsZHn9IEiN5b1k5fTotSgbc7s11\nXdOsbnZrQbM0Tu7j8JUDJ5Rk3F5XAYEnP/tRIiJ6+oufS8t6sl7c98Z70zIjoUwxVG4oYTVHT55M\nyyqiQf3YWSWKd2C854WAadoaitOXsJzGmr6rLax/noiICrOawXDi4BG6VjhLsIODg4ODg4ODw57D\nrluCLcHs0qVLaRlahJKUXKM7NpvRJobMNolk6Fpf092MzfN+6y0vScsuPssSWT0IwH7FqzRjzcQU\n75pMoI9uiT21dQ3kDiXQP8Qc1Q4KtFwLEcn4QP5KD3Q3WBQiRDQAWR4hzcSwozekO/W+EJQ6dd0B\nr1zkXW5jrZaWdUR/bQiWzEyG2/jErSfSslAyjCHxqVXXXeXKPPef9XXdffZE9ieALaO1BEO3pUQs\n4QlQ4+p1tpC0mqNtTbJAOTQjno/ahtZzUFCrRCo9N4RUgGJlCSGNXFaINH3IsmZEBs0kSHaJ5K/2\no4YQHQfLaolCCaf8LMuhfe1JJWuMi8TiwaNqgZqdZktxs6H3evkCe5oqY9o2++bYghADkQqlEy0h\nBy3BoWRB2smbM0qIulzXAUH9GWkbIMMUDVvzcuBBGxvnZ5ydU4txu8ljMol0jlxbUOtgcJzr6M5j\nB/Q3AX/e1OFFU9N8ziyOe/EcmqqOTa/MVmgfCHsUaTvFfe6PQ1jWam2+3pinv8mJVFgPss1FdoxP\ngWVUSJR9yEA3irDemU2EW2O2lRmZlYtFJSXedJMSSvN5fvZTp76WltWERFcuaV+wc6edX4mINjZ4\n7ey00ePFnWo41Pm+UtFrj4/zWlwsK5nSArPFksjlGSC52akHHzn1JgJ514BV2BOPjre9mkYSw4jf\nYdbBi9hqqael7HHblaHPri3zXL1ySb3oljhXLGnd54TUCA4vWl9iq68HMoenH1UC2ucf/DTfV1PX\ng1jOU1/XsvI4e34ieM+LxUN7+ICuxZ6Qi1stzRjYz2mDFMSrUIAMoZdlftmAG99ocT3Nr+sacOa8\nJbb/G7oanCXYwcHBwcHBwcFhz8G9BDs4ODg4ODg4OOw57Ho4xLhoehoJuiYiavXUhdUUv9i5Z1VL\n8sBhzhTS66rLMRK/88aGusUXF1h3dn1pJS0bq7JrpXJYg+3HpzRwvNVm1wwScjpCCMiA2b0yzoQC\n34MqstlTrur2vJJmsP35aLtNrwVmE/NJnhGzp6XPDWXyeWl8Ni3r1LntunUNX0liICKJO/zSKQ30\nX55nV08fXNZG6hRDFo6c4ED5/ceOwZ0LmQvcKbUVyGhliZUtvZ+BhGr4wXYSHLrtYnnmPoR29MXF\nHwGREDPYjRqGA9RC5jrYqGuY0FioY8TqPA7B5WhSN6yes1Dk58Uwh15/sO17doyju3Io7u5aU9sD\nugedEgLI8oqGS7xMssftO3o8LcsK0arV0na4cJ5/M9GE8JyNlW3XwDAf28abSH4S7jFMUGBz9NCN\nJMNbqKEBcxNMHuxFWgf9gOuoOqvfK2d5PizH6lLtSxjRgRmd22vry3DMn998m5JhPnfmFBERoXT3\n1KRkqoIsclFfOgGkhGt12eWa6QJ5pqKuWzvX9EFXtC2kVm9M27BcFm16qIeshDwkJe18nZ5krQvB\nZzyCsGPI99Gmxf1zCKFKXmZ7WAcS1W666RYiIjpy9Gha1pAwh2ZT191nJFxiZVXLbOjiWFXbY3GB\nddzXV3V+vXBOXd+HDjIZfv9+JTFNzfJxAPOMXS+RaJVqj2+af5PtZZvCKoRkHWPo3eiiLAIBp554\nTAvb+q7TynF44fGTWle2vQy82tk2DiE7pxGSYZDX8TwzztczENIyN6nvTvtvejsf9JTItl9CMcow\nDrMBh86EoMUfyFjLQBhqZ8Dvftmc/tbPw3iW961mC8KkpD0HBsJZ7RoLBO32muYQuBqcJdjBwcHB\nwcHBwWHPwb0EOzg4ODg4ODg47DnsejiEL27zHOi/maz6wtaF9R8Ao956V7MF1f7sL7Lrcn1N3QFt\n0fVtbCjVOCs6wgYcHY0NNe8n8tofA6t4SZjnm9xJYmL3N6W43e7q3Rnbwx2uNQJilLWBEcjUtcBH\n9Gy9Yf3ZTMOgxZmGGEDYyXCAur3cDusryj5dWuH2TGJ1lRYkNXYF0mUfPslhEAEofNjwhVZTWedr\nC6qFuCqqEJ0Bah6L2x+eLxF3+BCeeiiNPAAX3CC2Ljj9bQE0bUcNmzQ25XmQve3FOk6tvHIEndsy\n1ctlbYeMjPdsTut8dYVd3zYNMRHRUHRsA4Pn474Sgx4sujOHwjquTmqIzeQUHxuMOhGd8cqkKkb0\nnmCNzA641xdEe/rAUdWcHMIsmcj4HPS0nsIqf6GHaXhHEH5OUlpDrEfisSZwgM8o/Xfxko6LVsht\nE2WBbT/ktmnWVJO9BSl3u3Kdk7eqhuihh/+OiIiKBXV73nSCwyWeaCgTfUxUBFClI+qyW7SN9Qwp\nmyOfwyDaHVWoGCPuu0lP+1Qrw6EfTaPfG/dF4aOrc9NA+nKzq/12JCHtlcDYTdMFg8a1DSvAMR5A\nwweigpLLaYjEhGjQBqAnfPNLOB35pYtn07Lz5zgsqQ5atNUKnwfVIVYhbGn+ErvVjxzW8xw6yooH\nN932KrgvGZ+blufhpmciIjLpOwRoB8NcYZVdPFhjhzus1aOCUplVU/Kg5rG0qipbwyWuv/nLGm5i\nZO3MZ3WNyUo4BKa59kMef8Wq6khbXd4shEiUQeP5pv7tREQ0N67hRnPjPN49b/t7y3AAIYWi9dtt\n6bvahszdxZLeawLXbktoR9TWcdqSMLokgWeR8EKDYYbm2tvVWYIdHBwcHBwcHBz2HHbdEryxygHK\nnZ4GN7c7ujPMy24nm1dr3UaNrUQlyPiUk91MBByFWIg0eQjALoi2Je4DNhpK7KlJgH9tXUkYFck6\nhTp6HbnHGIPod+AzXd3CKxq6BnfktK3shQYPLO1xWtvbrQ74iDZYP4m1/U0ku7wELZCwU++zlSmf\n18/HytwQtTpYhGTnN71/Ji0qVblvoQZxt8PnW7qoeosLF9XiVW/yLhe9ArYLJGhVkJ1vf5PVl/9G\nqH1r60HvlCqQGWvUgP3dNl4exoUXwSCwlm/QXA7E8zMzq2M3lAxC/a6215qpySW0nsMMzwFDsLln\n0n061DN4CqZn2Or7bd/9zrSsK/OHB+f2jc08ByQMaeMEMgauS7ax2+9W63cSq+VDkk5RuwMZKa11\nGDPnjSA6PR5rA/ByjHk8X+bBStSTOu+t6TPapFXZWbUSmgKfJ8gW4Hta58UKt002o32h7HNfqmT1\nHqYn+fMQiGqBkGtyWa3Tlsf3H3h6Dz2wNnkyhxjIBBeLXnUPCJ9Bn8uakT5fo8PW3rlxzT7qCdEx\niEfbVmSTqHoGLMF2zgtRJ9iOIdBHhj4biiUY16VeR7K1+aoPPSbW4cnJ6bTspptvJqLNeuiDHq+1\ni5c0K5mBBbPZ4M8vnde52FoPDx+7NS3zSny9Idyr2YF4rYux3j8+i7VWJvD8qPc9arCW+YMH1Su1\nfPl8epwl7r9roOM+W2bLbgKWWSMkQ8yN0JSsvRtLuvaFYpGtAFmSfPDQ9nh8xvAONpT1AonCdg2J\ngKBqnbb9SO+rO+T78gq6vsRw36s17h95yDA86PG57VpBRDSQz2P0ClzHu9Voj24HBwcHBwcHBweH\nXYB7CXZwcHBwcHBwcNhz2PVwiJYENfe76gIPwSUZi37qBoQnrK9KcD2Qr6zb89jNmuaxvsZB9p2W\nEhcsYSsBl8jTp06lx2vyG0wdWRIXQi4HGpgSvtEFokfGuhV2ftQrYPu3n8tUv5OG8CiGTfjgWklE\nizIBsiFZHWF0RwnBwRJc+Jjbrr5wLi0LIKjferRDCJgvlISkM0QNYr5OBTShI3EJdjsajL86z8Sn\n86f1eotr+nlO3IdInrAhD4GPsR1CkoT2sh8bdN3L3x6EZIxlRjcVN6Yvt6mNYwhjQCVcS6qJwKWY\nyXFZCJq5gaQzHXQgrCDtAnrukqRmjSLtW54QJpF4MejrbzKifWq1X4mImmvcPwxqhIo2eS7Uc1cl\nDGpsQt1/edEKP/P02bQsirU/zh7ltJ+dobrSSQh9UTTaNoUgz3WYSbT/2SqK+hpS1k94zvYq0I+z\nPG8uIMEz4DTGpYqGQ2SBQ9Ze4Xm8uaHhaJUJvod9+9W93pL+NbVP3b7VMSb7hJ7Wcy/kuTgGkptn\nlLDlyZyTHwN37sCSFiENunQfA2Rcr8zP34K+HItWeD/QNWAUkYh/GtN7+xLeguPGrrVm05q0Xcfd\nh3U3yElYEPzEpjf34Hu5HI+RfF7DiAxxaBqutXGivzn9FLdtA3RpZ/YdJSKiqYOaXredprWHFNmx\n1QSOt5UlV3GLo3bwKK6tFjbNfK6o5LUqrG9+xGEQS8uqiXtgmr9bKmpfGMY8nrttXXd90TaHCBp6\n+lkOtchCCEQB1t3LFzn8JenqXBsN+dwJnCiWcCsMk7OkzRhCWmoy7hPIObC2qsTK0ON26nR1DjBy\nb7jGhrLwdvrYF+iaMdqztoODg4ODg4ODg8MuYNctwTZAP1sAawEEXjckkH6jAZbgdbYcLC5p9qEx\nyVxy+513pmWVIp8Hg6mt/MuZM2fTsvPnNPA+k5LodHdRW+MdVaEAhIsu74BaLd2lltMAbgy8t+Qa\nek7g50ZIXMmmz/lf7Zbe11NPPElERPfcdy+NGmLMEiYWgU2yaemOH9pGdoHDvnoFug3ZzV5Ua/3s\n8TvS48oEZ/4LMrr7LK9yv1g8r9bcrsgioeTW2iLvkFcuqazMkmSbW9vQYPsMWHgtgQo5TtYC7MOO\ndSDtFYJlw+5cI7QED+V8sN8cK42uRNpwE/PUbqe1MlBSye70MWuePU6gDrodtqT1ekCINPYcem5P\n6rlS1bkiEUm2CAgVjYaaG/Mi54QWL/sMMVijLalmamo8LRufYKvV2Lhez3bXs2fUulID6+ZrZ5k4\nhTJ+kbVKRaNLsiEiiqX+i1m1wibE9ZefBGtdj58jBOtOdyCyhGBFrgT82zIQ4/ycnvvy5bNERLTc\n0Wygw+plIiJ6ck37x8OPsLxWt6ljvOfzvY4Xtb2KOb52G0nWq5hNSryOQKbrG/6839FnGfb5exm4\n725fpBFjtfracZ9LRttWZL03PljwUrUokJH0gu3LPY6blGoGZjR7TpxX06G9adGzVlgk1vKfYkEt\nmYePv0zPLf0HLdgv/6a3EhFRGOAcoJ6EtCy9NHgkk+2Z/dBabef0zRnlRjfLY3Nd5GOhXaemlbi5\nvs5tmwmAbNbncRqGWpbN8rgKMloWiqegCBna5muSIbShMnbNpr4Tra3z2G13dA5YbfNxBN74oXj9\nu2AJzsmah+ID9a7Iq/lwviW1BM+UuF9cauu60ZOso/W+rt99WZeHEc731y5XOdqj28HBwcHBwcHB\nwWEX4F6CHRwcHBwcHBwc9hx2PRzC6vvmS+reaEC2Lkt86bTU5dFt8+fNmprG10Qz7vJFdW0fPHiQ\niIj6yrKhxgZ/rwdaxKjf2RJXKpLzIgnkRtdJJhtu+j4RUTw1SUREvkEXTOob0jKibcdYZt0xfQgL\nePZpDgf49IMPpWWPPvIYEY1qOARmVLMkOBRSTjb9IQLS4kCfu1PnNo5Ai7M0psH/nri4Qsj6NiYZ\nwfIl1R9t1IQkCSS4lhAGlhdUR7Hd4vNlIQTC87fvBcMcuI5EiDMB3dm4I9nNwP1n+08E7lObyW6i\nqO6ZCeUgjRz6ibaNZ/Wswe2J4RAdyMyV/kay68VAOspKXZYgi1xdSBqYTcpWZbWq5BrbzTIZdZmi\nq68jGpGrixo61ZQ+1YR+FmW4Df2MVn51ivWaBx0d4xs1dieur+l8NLlvnz6g9MdBrHPKQMIvotGW\nCaZyjoktvUTDNipl7pfZgoYB9NoSttTVMVdbt7/5/9l782DLzqNOML9z7n7fffur915VqVZJpbVk\neZfVsuV9w4bAdAPRgBvooWeCmIEeBpqeGegZmKVjJmDaDDPdHcPeDZggAJvFBi+SJVk2tmzLtqy9\n9v3t292Xc+aPzO/k77x7S1UyKtctv/xFSO9U3rN851vPl5m/TK2r8f1zRETkcuoCcfDgzcnx6Qvs\nzvXiqS8msjPLHJe0t6km8pVFHp/ttvaZiXEmVc3M6nnlMrfhZlb73cUzmkG0UZcxtgkZw6S5C2NT\niay27jNRaYP5bliP+11tXGZ4iaxEShDuheDyIXNRB8z9eRnGSGruwtoZ+kyeEHs5ie0OJutuz5ux\ndSx5shyS6hLyGswF5bJec+hWdo3w8yuRmtJrPW3XnpQHs4R5N6poQEY4zIiHsYV9TGB0weoOcWzv\nc5d4/aqAm2YY6jzY6so3DBDHfMa+TkvHeFEI/0gCbHf4mk5Tz2tUeVytQ3ZWfF5d+kq9pfP41Cy3\n4dSkxoxur/EYP7mmbqjr0j8mcvDtJFkIly9qxjskSrdlfNaBSF8TN4ctcLXoiN9NFz1bBmSwuxxM\nE2wwGAwGg8Fg2HG45prgos9bDVq0DDjC18ShGpQ7lJHdwNiI7oAWhZ1Sg13c6ZNMjFpaUkdunyll\nbm4ukW0B6W58iokW+w7uTWS7Zlmz6EMmERFlZcfSaumu2Dv9x4N0vRhCBn73JKkeZERbXORd7uOf\nfSSRffnxLxMR0fqKlhUdvYcNmI3Lh0iLgFTic5PnkBApoXIal55OZG3ZxVYmVFNTyGu7d2s+kIsU\n+AAAIABJREFUo1x/xrBOW3eDPlV4dVU1CFvSZ3pQj4UiaxPyxSzIIFOVaArxmo1NIXY1UYMgYWDA\nAT+SnXa+pNqObsT9aBQyN7UXlSg0bECtr+/S6WyH2A5CoIKwY/5UrL9eQrACa4ncJwCyYavlNTV6\nns/wNj8PGavG9DgjWo7lJdUEezLryppakkqiBWpCFqPJXay9OP4t0CJXuf9siEWJiGh6j2qCW02f\nSVLL6EkYvS7OC8OHlsQGC3Sao4vVU0RElK9qnU5HfFxbU036VIbroFhQLf1UmefYHGTszIKmvTLJ\nbTe7qGEta3lur8w+vU8uukhERI017WdF0TJu1rQdIukrTQi3GVeA4JrhPldr6lhL5qkt7Y+lkEk6\nXdAmzU/xO1/cgAxajssQ1a6eZHM90JKsmhFkPiTJBFgoIumT66LZ1Hk6n8cQczw2cNmJY66DboQW\nr/5+HoaenATZ6MQ0AksFOQhplxHNdSocpWQ1RH6dn0t6YH3xwy8C4p/XBNfBsoNj0pOnkTSFYbyG\nDc8cY8Lo7hnVso5VdNxkcnxcrer3z+kWa18rI3peSQj9aL1dk/CFWM/lHK+7hRxmbtT5uSSa23pD\n6+ziaf4GO/jatyayrGREbRf0Phfb/F2TWkukvRbOX0xkE6Nqoa+t8rwMyeiSfhhCufx3Uiq7b4BW\n6ZeGaYINBoPBYDAYDDsO11wTTERf+w48w/Cdx9NEEIHe8O3g3PUuwACcJBuz/1C8cL0LcBlYu/7D\nUL/yKdcF1q7fnbB2/Q7ADcpQZjAYDAaDwWAwfDfD3CEMBoPBYDAYDDsO9hFsMBgMBoPBYNhxsI9g\ng8FgMBgMBsOOg30EGwwGg8FgMBh2HOwj2GAwGAwGg8Gw42AfwQaDwWAwGAyGHQf7CDYYDAaDwWAw\n7DjYR7DBYDAYDAaDYcfBPoINBoPBYDAYDDsO9hFsMBgMBoPBYNhxsI9gg8FgMBgMBsOOg30EGwwG\ng8FgMBh2HOwj2GAwGAwGg8Gw42AfwQaDwWAwGAyGHQf7CDYYDAaDwWAw7DjYR7DBYDAYDAaDYcfB\nPoINBoPBYDAYDDsO9hFsMBgMBoPBYNhxsI9gg8FgMBgMBsOOg30EGwwGg8FgMBh2HOwj2GAwGAwG\ng8Gw42AfwQaDwWAwGAyGHQf7CDYYDAaDwWAw7DjYR7DBYDAYDAaDYcfhunwEO+fe7pz7nPz3Z865\nicuc973OuXH492MDznnOOffbcjzvnPusc+7zzrm3DTj3v3POPeac+0/OudA5N+Wce9w597Bz7mPO\nuTyc+yHn3JkB97hT7vGYc+6ubb+Fzrk/ljL8W5C/Q2QPOefuHSRzzpWdc190zv3B1dXi8MA59xbn\n3Cnn3KflfX7o27jHv9neZs65D0v7PiD/TrXftnPf7Jz7e+fcF5xzP7Xtt687537iSufJ77/unHvU\nOfd/Dfjtv3fOnXfO/QrIflfaLXlv59wvy/0fd869VWQfcs6dHNQvhxVD0q5559xvOec+45z7CJTL\nt+G/uNx52+7zUu3672Qu+qJz7j6R9bW1yAvOuYv+nZxzv+qcW3PO3TAKhSFp175x6Jy7x/Hc/Yhz\n7n6Rvcc596xz7tHLlOOlnvHjzrkTOKe6AWvEZZ57w41XhLtOa6yck1o7nXO/4XiN/S3nnIN7PiT/\n3bbt+hHn3F9Ku/7oZcqTutY591bpS591zu0W2cPy30POuQdFdsONV6KhGbODxsntInvMOfc/i8w5\n5/5PKeufDCjHSz1j0PjsG8dwPq7tP+14bj70siomjuPv6H9ENEVEnyOikvz7ZiKavcy5v0tEh+Hf\njw4451E4/ggRvYGISkT08Lbzponor+X454noQ0Tk4PdfJqIPwb//iIg+P+B5f05Eu4lonog+tu23\nHyCifwVluZuICkT0p9ue1ScT+X4i+oPvdJu8Am36FiL6FXi3vyKiV73Me/wbInrbNtmHiegnLtd+\n2879OBHtkeO/B/kHiejv4D4Dz5N/30tE/0GO/18ies2232fwXaGPHtrejvJ3lIge2dbHUu84zP8N\nSbv+PBG99UptPei8l9Guofy9CcrS19Yi/2+I6FP4TkT0EBEF17u9brB2HdSGHyeeV4tE9EmRjRFR\nlgbP/Vd6xiQRHSKYU2nAGjHouSK/ocYrlPu6rLFwTrJ2EtFriejfy/G/JKIPyPFjL1H+f0lEP0RE\njogeIaLM5coDsoekTK8jot8U2cODxuWNNl6lzMMyZrePz48Q0f1y/CniNe8fE9GPX6YMV3rGoPHZ\nN45FnlrbRfY7tG09vtJ/12M39H55mToRURzHx+I4XnDO/TPZtX3ZsZb0JiJ6DxH9Z+fcz8m1bsD9\nUHY0juMvyb03nXNl+O31xBMDEdFnieiNsdSaICSiF4mInHPvI27QaMDzJuI4vhDH8UXiBkccIqJv\nyvE3iOg++S8ior91zv2+c654Gdl3BeI4bhLRrxHRB4iInHMfkZ3jXzrnKiL7Hefcp5xzv+2c++Wr\nvHVf+237/TkimpC6rIL8h4noT67iPCJul8/I8We2PyOO46UB5YqJ6D855z7unNsn552W39qU7kOD\n+u8NgevYrg8S0ffK3PABkQ1qw0HneVypXXtyOEpEXxdZX1s757LEE/Tnt/90+dcbbgzZeJ2I4/hi\nHMcNIio75/JxHG/Ecdz5dp4Rx/EqEfW2XbN9jRgZ9Fw590Zt1+u1xg5aOwetiUREk4611P/eOZfb\n9rz7iOgzsj5/nYiObPt9Sq79D865nPShehzH9TiOnyCi2+W8iIg+65z7Iwfa7su84w2D6zhmB40T\nP45D4rWwRUTfQ0R3Sl/75y/zGX396zLjmKh/bSf6Ntr2enwEzxPRxQHyj8Zx/FYiegcR/Xwcx2eJ\n6JNE9E/jOP41OScecB3K8H02iQhNQOMiIyLa8L85517nnHuCiN5KRCfl9x8jov9Mgys0uMwxEdHz\nxDs2kvtNENEsEc0RTzZfIKL/cpvsiyL7bsIFIppzzr2WWBvxFiL6KBH9V8651xNRM47jdxHXl8eg\ntkUMbD/Ax4j7yzNE9IdERM65dxEPuO5LnfcynjEI/20cx/cT0f9BPDEh/ici+o9XcY8bBdejXQ8T\naz3eT0S/5NiMOagNB513tc8g59yfE9Hfkn4sD8KPE9Egd6UrveOwYyjGKxEtOufucM7NENGdco9/\nyDMGAfuFv2bRsZvbDBHddRXPHXZcrzWWSNdOD1wT3wbn3x/H8YNEdJqItrulYbsOeoa/9pRcOwHn\nE7FCi4i1jG8lor8kol+6zPvcqLgeY3bQ+PwMEf0GET1LRF+M47hF/H3zHBG9nYj+qZx/tc+4Uv8i\nosuu7d8WrsdH8EUi2jNA/l7n3MPEHXavyFIfoXEcv/kK98bdwigRrcO/10k1t8lvcRw/Ecfx64jo\nL4joJx37cH4hjuPLVW58mWMiXoSLzrlPE1GTiBaIG/rzsqt9mHiXug6yh4joNvruwh7idj5MRF8T\n2VeJzXIHSDUDX/cXxHH8K3EcP/QS9xzYfoB/S6ylu4WIPizagX9ORL9H6X60/bzCy3hGH+I49v3o\nceKNDREROee+j4gm4zj+6JXucQPherTrOrH5s05sqZmjwW2N5x0jnoiv9hkUx/H3E2sl/vdBhRRN\nx7vjOP474v50Q2uTtmEYxmuBiP41Ef06scvKN4lo+QrlftnjldJrxBgRrclzf02e+42reO6w47qs\nsdvWTif3+wYRfcs591kiqhCvicm8SbwZSnFriNvksu064No14rb0iK7iGTc6rseY/UXqH5+/SkQ/\nEMfxrUR01Dm3X657JI7jiFjJd/PLeMZLfcMhcG3/B83F1+Mj+BPEu4MRIiLn3GHn3BxxBb+HiL6X\n1JTSIaLMy7j3N51zbxQTTSWOYzR3P0G6I30HEf29cw7vvUVEdeLB8kHn3CeJVfq/IuXcLeetOOf2\nyL+3D84ojuOfieP4ncSN+Sl5rjfPvIqIThDRV7bJTtKND094KBDRzxJvCE4Q+4SR/D1G/K5HRXaU\nrh597bft9y4RbcgE3CPuNzcTb25+joh+1jl3ZMB5WefchJT7i8S718s9I/Wu8r7e/HSEeDIm59xR\nIvpp+e9Gx/Vu1y8Q0T3yEXqAiBZpcFvjefuJaOlq2xXMsTXqd5HxbT1LRHudc58goh8hov/NOTdG\nNy6ud7v2jcM4jl+M4/g9xJaxM+CmkpRXyjwi4+5Kz/DX4SLZt0Zc4bk3Iq7XGjtw7Yzj+H+J4/jt\nRLRKRH/jnMvCmLufiI5LOf0a+0UieoeM5XsItJmDrhXzfMExufz1xNaFZG4mon9E3JdvdFzXMStu\nNYPGyZr83SCiEZK5GJ5/+mWM2cv1r+3jGNf2n3HO3foy3jONl+NA/Er9R2wW+Zz89+fEKu9fIqIv\nEdFvkjjNE5PXPk1EPyX//o0B93oMjvcQ+5k8TkRvj9Xx+145/gUieozYXJMhdqL/nFzzp0RU2Hbv\nR+VvSESfkuO75R6PEfuvEBH9K2IT1G5ibe9niOjH4D4/S+zg/wkiGn8J2QG6cYlxJ6WtHiKiH4Lf\nfpOIHiWivyaiUZH9tpz7+0T0r7e3E1z7YSL6Sfh3qv1E9hH5+27iAfU4Ef2P2+7zY6TO/3je/yCy\nXyWi++T430l5f0P+PQtl/AniDcxxIvq/RfaXUqZHiOh2kf0tsUbpYSL6CyhHHzFhmP8bknadIyY/\nfIGI/tnl2voy511tu/6FvN8jRPSmy7U1lDdFmKLLEHCG9b8haddB4/AnpDx/RUoufY08e5VYqZAj\nop8koh++ime8X347T0R/KrJBa0Tfc+MbcLxua4vrssbCeX7tdDI+Pk1EvyiyXcRay8/J2CuL/DPy\ntyJt8Xki+lHoL+99iWvfTjz2P0tEe0X2BPGY/jsimoey3VDjVco8DGN20Ph8tfSFR0jJxyNE9Gdy\nHz+2r3bMYv96h8j6xjGUN1nb5d+/Sy+TGHfdG/cV6BwPEdFvX+NnvJpkYb2GzyhLQ//a9a7T70Cb\neTb+LxDRD77EeR8ioi8T0QPXuDwf+Q6884eIzVb3Xe/6t3Z9RZ/xq8SaJ3etn2XtmjznfyXWEl3L\nZ3zXj9eXURffiTXW2Xh9Rd9zJ47ZnyZ207jp5Vzn5GKD4TsG59zvEdFBYvPJD8Rx3L6+JTK8ErB2\n/e6EtavBcGPBxuzVwz6CDQaDwWAwGAw7DjdU1hSDwWAwGAwGg+GVgH0EGwwGg8FgMBh2HF5OaJRv\nC3fsD9jr/TKR3Jz8gGm1euKhUa3pRc0mf693u3pmEPDvLoRveQnaURkrJaJaq5UcN6qcfCib11cv\nlzjiSi6E53XYhWayou4isTxmparuNR3JZdTr6Hkd8L7xQUQceJ2MjgSp8hMRdaMsERHtGtdyl/Ms\n+9JzF4cuJun3v++tLxDH+KTJCY5nnRnRsueLHD0qk9F63tjYICKis+fPJ7LRCkexGRudTGSn1jXy\n1KXVBhER/fBrn01kjz+7n4iIXtjSRHtZqWd07+n1uN0DCD3oIj6OIu1HveZGchw0Fvn3QJMYFWYl\njDMkNoq7fO9uW6/1jRTAtUHIyacwRXoQJP3117/52G/9HA0R7jx6+I+IM/FcNVxqcMcig9+lnwcg\nLBa47cbGtK1zOQ7Z3O1qiO52q0lERJlQ6y8r44JI27ta1UhNjUZDfhtUWhW6AZOSv18cwcU4OYkY\nx3N5hMudDZIyPvKpz33lwUFPv55ofuUPYiKiZksTsJ1d4ZcLqpcS2dgEj8l2s57IYhkvp86vJbK1\nTf49A/Omg4rxdRm1df4NiSfHUkHnivVNbrsM1Pnx49zu03//ZCK7tcdlmBrZlciCyoiWZ43D+z75\n4O5ElvkAR6L86ieOJ7KvPMHvOjqiIcLf9y6OoPeht70tkS2d4vCrx5ef9qLqD/7Mb1doyPDINxe5\n4gLUaYnIaecd5PqIoqTvx9DhJVx+EOqYczLT1erNRPbpRx8nIqKtqs6Hd0mk7oNzkFgVyhjLfdr1\nRiKrLZ8lIqJeFxbRLPeVGCKaRvUVIiLKlbQNoy6Xp9vScnXb0IdlDq6uaBnjiMvwix/56NCtsROF\nEd8giSyb0XmwWOTjRkPHcxRltl9C3Z7UB3SP2El7ttFVmNdGp/MYzYzrGpvL8/HFRY0M6/xN4d5+\nWp0Y1WSCo2W+dmFhUcsg3SyEz9AAchxli7yO4uddq8l9pdbRNb0ufXRil4aGf/v7v4+IiH7/P/7m\nFdvVNMEGg8FgMBgMhh2Ha64J9ohi/SCHQ/L7yxDO9QrSELQ/GdH+ZPN6XrfHOwAX6GuMj7NmyYW6\nU6g1VBOREw1wrqD3doHsmnO62x0v56SsqpXqimZxcnw6kd122+uIiOgrX9KYzyvNVb237MjyBX3p\nUDQnzZbuQSYq/Owc1E2rNbyETtRib1W3iIgoDxqhXszvU6mo4qQravMM7FIz0hkWF3WHuNXRRs7J\nfZot3VV2ZLebS8XO5m2lA02fP3IDk/yptgO1V15T4eD9vObDBVk4L5K7gIZX7hlAB3ey3U3fb3gR\nBC+9L0ZtktekBim1r/+t/56Fgmpt5mZ51z4xoVkx5+bm5VotQ000vL2uajtyee0fY2N8/dbWViI7\nc+YUERFduqSZY5uJdujqah/bK6XlkOsLWdX257LcL4LLmbuGBF7D3oNUEInSD/JD+PZCK04sc+3c\njFpsfF+oN1TzRpHeJ5fl++Sg3eMWj5eNms5tn3+ONbiv3q99IShzncZl1fR2tjjbaivSOTk3peXJ\nrSwQEdHMF04lsosyp+e2tFwPHL2biIhe9YZXJbL77+N8A9MTSdJHauZqRER0+7zO98OICw8/QkRE\nux+EZG/hoHHM/TOtEUbNPXeGpdNqdVs79VUiIrrpnncksuLoLn9B321wBPR8fwOtbianfcElZ/dr\nq1EbSd5qF9USUeg1ok7b1fdRB1Y+l7L8yLWwTrU6w5wXhcsWw/rkoIZdj4+zMO9EyfvqNWEyn6Ll\nWZ6Qyi6PJq8BpZGJI8Jkur4PxHofr83toUWv3dleLLXEQV8dmdQ54MDNt/Al0H9OPM95Uxprqs33\n3xAH9u1LZDmYn68E0wQbDAaDwWAwGHYc7CPYYDAYDAaDwbDjcM3dIVRTr6r4IKXeFxU8qNMpcn3n\nZbJyPZhgMqJ2P3zrnYns+z74A0REVN1YSGQPPfyZ5Phb32J1etjT+3gLcK2u5pa2kNdyGTW93rKf\nCVJvfvN7EtlWlV0kHnv4c/pOoPIPM1zu8RE1pW/V+J3zWa3+ghyH4Pju4uE1r66vq3O8N3+EQEho\nd9nEWS6rG0NiPgc3l1Dee6KsBKnQKZEiE7FZox3enMhm9/Lv5ab2ma6360KdRRIfPAbzWLfTT4xz\nXTWpdpsz/Du4PuQqbLqPY3DgF1NVr6PEgdi7QxC6TYh7xUDz5PAhZQKPPMkN67TfZObQtUTeF10D\nvFtTuaRkqKy4EJRK2j9GRth1Jg/uDqUim0/bQG5NQeYDvPfM9HTqNyKi8xeYjNnr9Zs/U+8k5cZ3\nxmNP0Mvncn2yK7mSXG/4tkHzaldMjfWazn1lcSnLwPt4sm8W7JmzU3xes6HntRpKcvKnRtD3e47b\ndhUIMscW2eWlUoDzQr53uFfJLlurPNaiLSVBll9Q031HyDe9GTWphms8nu+bn09kwU2HiIioUNE+\n05H+FTjte3smeM5pbgzvPExE9MLHPkpEROX9ag4eu5nfMU6tIf3jGV0jGptLRER04ksfS2Sr55lQ\nWN/U9tp7J5MHs2N7EllCUoex1FzjNXi1q6TLYgXcV3LcXp029BlxdUFiaiQk5E5TXZ4yMsWGobZh\n8myY2+OOzhtB6N3VdA6IesPrcuidRFMuHSlXO/6bSfmeDbiNdy0B14dOxMftlPug9A90m+ipS0NH\n1k4HBMXk0UD8drI2tjvgSkrcDk34zvPvkg21DFN7dZxOzvHYR/eWtQ12iVrZ1L5QEXL1HeLmRESU\ny5s7hMFgMBgMBoPBcFlcc01wL+IdAmpbeuiXL9/hcYwaUNEmgRa2kmeNUauhIU964qA9PTGVyCam\n9xIR0dxNBxKZD89BRDQ3PU5ERKtrqsn0nLVMCTR9ZdZKHdx3OJEdOsjhdkpjqp344z/8LSIiare0\nXLjTHh1jTVahou+yvlWTd9YdqSfdVVtaT1E8vHuUHJAIy6LBa4CWbURCYCEZal1CpBVL2h5OyDO1\nlmoDjp14PDmOpH8cJ62/KCdac+i+sWjQA9yRCnktdKCZlWtQaxciaS2UEDNwn1ZjTa4BjaAcBhm4\n1u+4U5pFH3ZmeNsSEcC+OA76QyqFbqCqQY98ODSsK9Euoxa2J+GukMDgtatZ1EaLyqe2oUSIXE5/\n73mCR0/rvFTkuWJyUmUbokGo1lSLmJR5gCY4Bg1JBkg6BSlPIat9KrhRNMHS9yMgry1u8rj7+Kee\nSmQjpeeIiOj9992VyPbNCEENQm5ls/zevQ5ocGFFiTwxpqt9oSHk2BMLqsnZaPLc9/R5le2e476w\nOqKavM4sz/O3Zg4mskysloTc697Aj4tVq91a4wId21ArVW6d33kWLHEbm0xm7kxp/+hcOMd/ly/Q\nMGPXO99EREQXv/aFRDayhzVqmSIwyakv4lbKIrZxjq2kK2deSGSrYul0p1RWEwLi3O1KxJuW55Qa\nuq42F08QEdELL6hVdgTCaJYKMpbGdf3OFbmf9boQcrTB/aLd1DWiPMbtHnd1bMaDLKfwrp5cGyMB\nLB5mYhwjZVVD6mFiMQfNvq+OQeEf4TiUdi9iyDoJ0xojKRhC48USjq44O5PI3BaPmwjmZ//9g2Et\nYz/3Y4AEWTcKRR3DU9NqxZmYZotvpwXrhqzP+A25ey9/803t1tCIDSTrXgHDPWsbDAaDwWAwGAzX\nAPYRbDAYDAaDwWDYcbjm7hD7DjJp7dR5NSn1OhrzMyvmRXSoz2T423xsVAlSu2bYZLK6qhmL2pKJ\nqFSAmHix3DtSs8v07luT47fex6p1zCLnJPhwoaCq/10zrPK/cEEJAeckU8pYS5939uwJfxd9p7we\nt8UatbCu6nlvud1qgouImAt6YLTopaInDxdmwCSSL7EJqww2Cu8aUK+D+4qYozKhmj9iMc1WG0pQ\naIEpwxM3Ok5NYa45iKjCshBiRieO/mDCd8lv269khGJuIXDPSZiTaEf0ZvMBcXMRsRA90B1omGk2\nSCJMTKXupd8xJYsvTywrFnVMjo4ymaEMrjEdye7UqCuhoi4kqLWVlUSWBVecqWk2+4YZlXlzfxZk\n42PsBoXELXXPwPJv+0tEWVAV5MJw+xVq6rtCnM3rjUAIar1I577VVZ7Tnj2n81y1yeP07KKaOP/r\nD7HJfXpEzetdISxhhjHM+NSTvrBV1Tp/Tlwenju7pNeI29cWtLuv0tldmh1uROac0po2TiHWOMIV\ncXubKaqLTaPn1wOdFyqSySrSZYg2t3jOqdZ1fRmb4meXptRNYxhx87v/MRERrZ5QkuD6i+y+MHFE\n174wIQvBGgMxWFcvsBvM+tpmIqu1xH3MqZtDQzLzFfI6nvfdepSIiDrjWq6FKrfN+tJyIqsuawz9\nyXF2oxsJtb3GAu86pX0hknUj5cIm7m8RxKKNfBzbCMleQJLza0QWXOaGOLa3umQNjjE/cL0Z8DqD\n3tAHHXAQM9mrRPH8LKxv8V2vJyKiQz/8U4ls4e+YRNl59OOJLC9urLiWNOQ7ADyQqCMfQjG06+iE\njve5WXZzwP5Yr0umVnCta0nWO3TzKpe1b14Jpgk2GAwGg8FgMOw4XHNN8KLkEt8C7UMr1N1bQTaB\n0znVDpZEmIFwYV3RqFVG9Qu/UfWsGNDqSp7soKOvVq/qTr4uG1/MV96R8GtbcM3BO5gQNxkpsetb\njz9BRESrK6rFaItjfQBEmQi2Us0NySzWxd2cEFT0NKp2klgjiawX9ROThgUb4AgfbbK2zoETfUOy\n3SExziWkKd17ra9z21TrKisUNIxOEq7lMiGrtssCCN8yaAucaKpSqjywJIgm2AGZLvYO/rBr9hrg\nAcrhFNkk9NoJ2LnGNLztWq1qu/pQZUgcTJXcvzyGUEsOtf58Vrg9ezSk0sQ4y/KgZq1tsbapuqU7\n/5aM0wAquttSFd7WJmuIi0W1GpGMmzyQ7ibFqrS5rOGathKiTb+mBd85D0S9jPNkS32c71PB8CqV\niEgtMe0eEHeL/G5lCCm0WeM59Lmzqh3+2KPfJCKiD7/7NYnMa3qQlBhjCCTR6j11RvvUp57iUHVe\n20yE86DO92cXWCN7cNcdiezIbibq5fKqldy4cDo53op4Xr758AOJrFLmZ3/jW2cT2apoJvOgAmpM\nM6lmq6qaymnJFBe1hrthwyzPsVMHjiSyc49+goiIaseeS2R73vN+Pr+oczL2WU8kjiIcD0JMrULW\n1TKPrwxocEvjrLULJm9KZLH83mjr2D19WrM4XljjNeLoXs3IF0pvSIUtFAI8Rpn0YReRXB5LuLOo\nh9cOyHAJhK1hzvIY+EylNHjti1UIVw1I3UcDRH4tTrU/V3C3qOFKW1NKNqPbeFy9sKr1e0jIzJW7\nNPvipFhQMLxatclz+vnjZxLZ1gqP41xJrUsYwbLl53kgJgcypyBn+9IF9jLAbxKfffRqYJpgg8Fg\nMBgMBsOOg30EGwwGg8FgMBh2HK65O8TJixwjsBDqow7tVlLVzCSr3n1cWSKiLclehKpxn+WoAyp2\nTxwbn5hTmfzeWFOzy9nz55PjSwtsDp2dVvPpnjn25m+Ay0JlnGX7b70tka3V2CT0yCOPJLK6hJWM\nSU1DaCJPEpmhg/m2v/KC/Dfl+T68ZvMSZOhyQkDyZlQiolExP6+tKdHEZwnLgutIPicmmE0laDjo\nK57U5lJmG28ewcyD3iQN+zqfrQ1NYnKtu4w7RODdIVJZ38QshXEP4/7sS77vhVh+yVLgubv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etlcVOfURU3l/E5LcPuOZ431xa17jE6QE8iRxUq6srU7XHbYdCdqCPplXvYj/g+LsI+I26U+M6Y\nrj5xp8BoC8M7ZoNgwLwC71MRd4Kbj9ycyPJ5mbMh/nEkboMZcFsLJf52CG4MXT+NN3SMr5zRtgul\nfidyELdY/FgLHXApE7eJ6pZ+B2XEXS0sqOtLPsvtMD6hKZd7ELO9K2t5kNf1pSFzTXNdx/isuG8V\nIaJIvmBpkw0Gg8FgMBgMhsvimmuCC+Ik3YNYd6j1TXaswGGKqX8H1BYH7hIQYEpl3kEUS7qTWLgk\nO4msapOCshJt5sbYCbsDu8qGaDILoOXwRLV1IPOsCzEjA7uxbJGfMzam8Rjf+ra3JccvvshxKs+f\n0x1VQn6L9Xk+FmCAWVYGELuGBR+8U7O8lCZEWxOoY3ov5l3g731O6+WTF3jnGka6Q8znWYOQgVit\n2O69JLYpZBsTLT5qJxKNLGb0Ei1BGKAmU7L1Ybxb6HwjOSF7wTWzkuUItWAXVz1RSB/X9dotKL+j\n4c1INAi5HGZl4peLB8Qf5WP+RwR17jMsboEWYG6GSa29so6lVlvrcvu19YbG8D53kfvZ6ooSpDKg\n6zlyyyEiIurkVbNYl3iy585pDExf8F2zqt2cmuDsZdOg8WwL4aJ7mUxSgWimkbR7o+AJ0fCMVcYS\n2ewkt3cLpuSnnuM5C60zI9Ivqlkdh01pr+fPaBa5iRGdi/Mha3AaLb1PV/pKiJrgoJ9Em5O4orms\nzgsP3HOUiIjuvE01X4uRZuq8eZ5JWWOTqhF6RjTdh193eyLLiIZy9/yRRJbNsZY82tJ5bWqVNcDn\nYQ0YSgyIfe5FaFlsrDLJae3kE4ms01INXq7I8xwSSn3Q3SDSdr/lANffgb1gKSjxtbVVbY/9B1hD\nN1GELHJr+ntbcgO0YTwHYvEJQBUcd/z6ohpB5y1DsZYriaGL3xopgq4X4nw2vGtsMhwwZj3MtRsb\nrHGtbymZs5hhDSi2YVUIdLCkkROLXy8PWnEZz0FXtagvPP18cnz+EpPp/ovvf28im9t/gK+B760X\nnuJ4wg99S8mot9/OQQUO3qaBtjNF/l4oQQz4zVDfJSdzbbsDc7tYW0tgzerKN1g+r+U2TbDBYDAY\nDAaDwfASsI9gg8FgMBgMBsOOw7UnxpVZB99BFwi0tnjTBFglvCkkhFSeC4scm3B5cTGRzc+za0MY\n6nmTU5KKsdmCa9XERULEwZCKS3LvkRElzWTElLcGZthYTNvTOXWv6Iojdw7IM4eP3JIc7zvIqZYv\nXryYyCIhX7kMpPiVtMqp9LpDbKpZW5pPjrNjbP5wGTWBd4nNVNPjah4NkzS8YOoaED93kCwAklPo\nPLkGyHSeEJciqglRAkhVsaTOzIE55eBuJYJMhWw6WlnS2KAb60yImxlTM+vMJJvST11QB/1zS1ye\nCEkdnqwxoFzDiHxRx0DXpx0G01qUDgZNRBrPkYgoljZptjA9MZumikWIJyypkbEummIevfiiknVO\nneV2yGe17kcgte3Bgzz+YnCn8VNKC8qwvs5mtk5HTbPjY2wOx9jITuacCEz4Acwvvu+iy84wk2sQ\nN99yKxERNeraXtPTbEosAAl5RIbDaktNyaMVPm+lrvXn04nn85CWHuIId6Vtc9BeXWmTJpCjPRkz\nBybwUOr54NyuRPbBd7yTiIgOiAmWiOjghpLbWk7Mw6HO/c9U2fzeW9V5/IGjD/DzykrSmdnH71dr\n7EtkZ0+wO8Szp9Wt5oM0hEjCBGPMcm67xpa6qqwc+zz/Pf6VRFZv6vjLTch4bmnK8KjD9eJyWleV\nETZjB6G2e+Skf6wo+TVX5GsyQGbvAUnSE93aEKs2L3ONg/mZkjEHRGjpWxHGe4/6XeJinJv0arqR\nkC6tvkVllNthZETr17uUReDy4ftCD+bxlnz6FUd1bG4tsbtDBPNhEe5dLvOa181BTP+yxPoF77HT\nF/k+T4ErxV6JW9yqKsm05NeFvLZ1vqjH9QaXG7/vvNskuoXkhUjdADe6ypS6YV4Jpgk2GAwGg8Fg\nMOw4XHNNsM8SllIgRf2HqEzJZvnbHDPEVCXUzdkTLySyffsOEBHR+IQSPYpF3p1imKUM7CS8VgIz\n2XXarPVpQGaSDdEcOAyfJL8vQ7gzt4dDC5XK+rxcQbWf/nlpbZEQQUJ19I9Ey4y7edcb3h1ruaza\nkVjIBxESBqVl90yqZqiYkZBJBFrd8Oo0ayEQBiW6CzXA973TGKBJD3xZVOt0ZDdbCt54VLX1o2Vt\nhzPPszO/U74IrSzxu+Yro4lsS8IE9SIga5AnimH5uW6C+KW138OCcln7bkNCTcVgkXCp8G4S1q+r\nWtOOaCBQE7GwwJqB+Xm1Hvg2bgPZsFCQcF3jqpk/IH1lYlJJOPOzqv1bWmLL0HMnzySy2WnWHj74\n9nckMp+5MdFuE1FGytCCMngrVAmyDwWogRoQDu1G0QSPVbheXaSde2aKrWnFEZ2/mh2uqxK81tpB\nroMzK2r5yMnygRnhcqCRD0QL1wUSZEHCS7YwFJJXI2GGP9HIZzI6yCfneK4NQZuYaetx9tABIiJa\nWlHt53SOx2yxDFkoG2wVKI3reM6JpSE/rmvJ2F4eC7tOKhl7GBEna6yOuVaL16ilF76YyFZPfI2I\niKprS4ms7VSr15NMYLUttbZmZf5yEIY0kPrP5EALG3K9bV7UMJKBkJ5zOZ0fWmBhicT62YH+kQ34\ndxdCtjGvmYRx6OccXMcHZfEM8HdP5L1BSK0u8JlzB2enrEh40Rx83/TEmoZWsJaEHM3CWPIk7wJY\n/gKxzrU2IMPf3Xcnx3feKcTlnmpcv/aVr3JZgBC7/1aeU94bvimR3XR4PxERlSr6vLJki82GoN2G\n31c3uJ8G0BfKFb5mY03noV0zrPWNgMy8uabZ8a6EG6M3GAwGg8FgMBgMryDsI9hgMBgMBoPBsONw\nzd0h4gH+DqlYo2LmDkHN7zPFxZttkLFKvFgC842Y22pVdWNIzJjwjAhizNbqci5kRfE+Gb2qOvW3\nF5hQgWaFRk3i7UFmkj379hIR0SS4ZMTgWO5jkGL8315Pf0/gTR8DTOnDiPyM1il5Ug24b3hSzGxF\nzV9jFT5vqwUEKTGfFnJgfs6pi0GpxGa4XBbqTMyvpXVtw6dPiAkvBvOomMIOzqk583vvZzeIPGT9\ne/G0mtI3ttgNZnpCTaXNFTatrK2pqe/0RTYZxQW9d0+Gk3MQ81jaPYK2RKf+YUMZYm4vedeGnpa3\nB/UbyfjDTE7eDSJw2oYTkzw2cIzHkjmqDG5EkWQq60LmwSNHmLy2Z89eLdeymruf/Dq7ryyDCXx+\njkkY+w8cTGS3HuH4lKvLSpL1JNssxEZut3mMX97dwW37S5c5b/gQibvBpYtqKpybniEiotv27U9k\ney+Ki1egc1/7tTyPPXdc3aAurfFYiYDY1ID50seDR1Kor6EiZCbs+f4F53k3ug6Ys5ttyeY3o9nt\nRubVNSZxszqjxK6RZS5jaXpPIltd4XE8OX9TIvPkyPFRJeLVljlecogZEYcQfhzG4CZSW+C49Oun\nn0xkm9L3YxjDMcQx79S4XwRAjKvneC6LS0oGr23y75msjpuukBHPP6mxYZ24Nc7epmM3ioBk6ol1\nsZrfo65kh2vreUFG5oiwvx2Q1Jq4oUW4buJcO8ANbYiHrB8OOK9g6oClS9yPzx7X9SsU14EixAIf\nHee1NQPE00BigNeq4DqS52s6SIwEPWlTKmv5osZ6borLXHlEiZMlmVOm9uo4bco62MUXkNdCd9XZ\nac3022hwGc+Ci02XvDurtvGkX6shEHLc0e+OK8E0wQaDwWAwGAyGHYdrrglu10QzBCF4cpDZIyfZ\nQnKwy2uL5i2GNEb77+bMUDcfuSORlUq8w2lBWJ6NddmlYlgN2H10TsvufgUyk0hMoF5LHb7DGv9e\nho1LTnbQzbaeFwvRBhS9FIM2d3aOyUABhOkKJCc9qsR9ljy81rkBGuMhAWZZW1vnHX0MYW1GCrwT\nqxRV03DXft5pnt/SHWJGtL4uo21dq2r9eiJATKhlFvISaOTHhMUzAoTIe27iXeXrb1FCVq/OmqHH\nv3YykV3a1Od1pN1vPaDEuShmYsFmXS0FLleUssAuXTQNSMZIDodY44CoVHRH30s0vaAJBi1LTwiR\nmJWqK7JCAfqCWG9K0DZdyUCFbUjynDbs4n12xlZbx3gPskDNz7EmEDMOzkh4nLVVJQCVCtzPkIjn\npG/hKPNjrgchHVNcy8D/7bdsDTHfkYiIwoDrvwN18MwzzxER0UHIwpYRAlpQU2vPhAzjQ/sOJbKl\nDdYC1braNh0gvHkyK+rlfCarLGbGTMJWQj+T+l9cUq31l578BhERvXtatbWzU2oZLMqYvGu3ai2T\nMIqzOuc0xqUeGjqesyWemwoF7f9bGzxXrK4oUWwYEct61Kppf986/3UiImrAnFWtcyNmHRAZixAK\nsCdaWMgUuLnCoT232jq+shWu/811vTcJ8fCrQFDNybh/882qCQ5Dtfh5y4+3ChGlNbvJ+/nzgNQa\ni7UtRSSXLuVQO+z03r2BA3R4J2ZPtE5NLJA9bnOLx9+nP/VQIjtwgi0A97/5wUTWaHKdj45o3Z85\nzuHLJuc1JOD0Hv4OGpvQ8XXmmFrOmps8Fmurqpn1tR9nITxfjTX7WbAeZCL+5qvXdU4ZEyJbA8P0\nAVFvREJqBtA/mmLB999+RGoJyUB2yREg6l0Jpgk2GAwGg8FgMOw42EewwWAwGAwGg2HH4Zq7Q5BY\nViLIPtSoqSN8J8MmmC3IOOLEFFbK6zf62BSr6CchXmhFnLFjINI0JZZvbVPjyGVqaraJltlkVAjV\nJcMTBZB81Yy5ajpdLWujwfc+twVmoOc4u1UFYk7mS2pSu/sejrPn3SKIiM6eYZNFnDLF+Hi5/Rm5\nhhFtcF/YaPBxq6Umkey0N4ur+ePVt7F5cfGr6rRfb7AZrReoCa7b0fu05bhcgjjMWW67kaz2jw/e\ny2baOyRWKBGRy3G/KMbq7vDMMXaXubgK2e2gysemuGwL0MZrDb5PtQkxo2OJSTmADJWyXlF/3Nwo\nGl5iXAViIXtLY8rdAY9l3LXbYHKU2N6TUzOJrCguD1lwWfDkRpRlJXNQCOb6zXU2wTWA/FqvaXtO\nSUbCmSmI+SquV62azgFLC1z/BXC/8JmI0JXCk1AazX6XHCKNGezQ/ymxw9JQY13cFxoNJb50qlwv\nX/6mxl/3bk0rVW3XrTrP0xO33pPI9kubnDj2XCJbhkyd7U5/P0/qHCrL1y+SgtsyJy9uqNvaH/zZ\nnxMR0dlL6p7wTz70geR4dJrn3dGbtO8Fu9klKrdXCXQFmee7Nc0iF+XZvLq2pvdu1vj9V9Y12+cw\nYuHpvyEioto5zbS4vshrTLWqMaGrdW6bsZL25wKYkDPiRgBLNbXFbSls6nw4vosJp2vL6qrSjblP\nZSfV7aQyKnFsi7oeZovaDs1Nrte4CZkCfZZYdBXs+cyVBBBXLcwO58dpPFi35wmaQ+61lCCbrG/6\njmGI5GL+2wYy6skXjhMRUb2m47Aj7i2vuvu2RJbJSK6CirqqzIjL5ui4Zlsbn1TXiEWJ21utwhjv\n8Vq8vKrjZs9u/mbafbOOw/ExcY0AlxYfH7wDMswumZd5fKykrrILK9yfR4CIVx6TY/h2wtjvV4Jp\ngg0Gg8FgMBgMOw7XXBPsNy5INMEIJj3RkMWgKfMcugC+7L3WFDU5BSHYXTh3NpFtnOTdcAhEmiw4\nynuCWpSBkGWi5QiBvNcUklwGNJSlvJBm1lRD8uijjxMR0cFblFgyDznp9+/nndYDD74lkf3JH/4R\nlwEICEkYFCQGDDHTJqppeJz5aWnDutbf+XOsLSiNqCZ4boLDK82M6g7xfJ21BQ7CLGULGCKNNcDz\nsxqKrCahmSaLqh0eH+XyLEIS81EhApWAiLm0xYS4MA+O9aDl8Ny+Tqjl7sS8q8yPgKN/gTUaPQgL\nl+SpT2kivPYBwj91hzf03eioZmtz5Eli2jYYvqwtmRZRE+y13MUC5pxnskMOxtCUfoIAACAASURB\nVFdD8sKj4cOPgSyEz+oKKaYNGkbM4liWvoIEu1C0Wxm4T6GQ8y+VwGuAkWThy9CCsIpIggvk9wD0\nBwkxbshDpMUF1paXZzRc2MgUa0oX6zoXeYIwZnVry/jMFrWuDt/5aiJKj69Hv/gFvU/c3/e9UqsN\ndZXP9C9DoYyhHmj6tsSC+KlHHklkK5D97J3vvI+IiIpl1V7tP8xh0PbHOuf4OFP1FSX9FCRcVwfq\n4eRxnivOnteQUMOI808+SkSaJY6IKPSEY0KNqvwFKmgeyKqxWDniQMdNIGHQYgj7GI7x3DcZqkXv\n0U98moiIxksadq4k2TSDjJKU8mM6h/oCNbZOJ6KMD3PVw8xyvb4yDNLqxkm2SrBMwcdGYmhIZYwb\n3jHbkzECiVEpmwo3KO0Fr9Dp8bx1/uyJRNaW+XtjRcfKfgkZ+ea71IJWLHBbF2E8zx88nByvLvB3\nVrasVrlTJ3hNH4GMjLkCz/djU2C1H+V239rQEItVsbbmYV1ArTBJptJ8oHPA9DRrqesN+Hai/uyj\ndSDXXwmmCTYYDAaDwWAw7DjYR7DBYDAYDAaDYcfh2rtDiK4evB1ScVS9pTGCz3Gf+aUJST+8I3QO\nson12qz6766oir0n5jEHJrY4B1mpxBTUbqm5sydMgNFxNQVPTrOpZx1ija5ssFP2qYvqBP71s+eI\niOjwrbcmsve8/316n12svn/zgw8ksr/75CeJiGgJCB4x+aw/YO4IhnePgibytUU2f9S+paaTcyts\nKnVFJU8cPfoYERHdtVfrdOkkm0mgORJHfiKiepWP10JwJ9ji7GAuq+aWjRabw8emtA27TSYCLVWV\nXONjTvbAXSaC7GYrq2xGyebVpFaQSKfNrMYw9OSRVAt5gk/KxNZPmgrC4W1XdIfICIEobEOM5oFE\nwEFuO0DmENejYkldFvy4RwJDJG0cQozvOEnnCJmNgMzjTXhZMOtm85JlEMx6LjGBalkLkl0S3R22\ntrh/hPCeSIxziTvEgIxyw2tZJSKippSzBzHLI3G/isHFpN3hsdEB1xfvwoMxo7tCDs3kdVykerbr\nO0hqH8mhbXFhysG4cNIHIMxr0hdabe0zT3xDM5TlxeXl7ns1U2CXOKbp2gl1eTq8VwjVbZ101s5z\nZrVnzikJ7utPsmxzXYmEw4hVyYqXyWo9l2SMZLNI+uS/Ebhr9dA1wLtBFNXNoSwZ9DJFnRfasoZO\n36Tz/ZGbeR3cOK91Wuzx/WJ0q4G4xb0Ot2MIkaT9XILroHczijE2t3fpgH7rOxfORxhHOB4wQAfF\nJR4WJO514eDsld6VDL8TfCyBCONwyzUdyJJ7/gKPi5EKxOUdKcp9tf5GgeCcy7NL4iipO8Shaelf\nOR2o4/MH+H5TSoLMFXiuLcVKulu6wO5Go2VdFxotvc/qEn8nbEA20DEhZS4unUtkn/jzjxMR0Tvf\n/65Ehi51V8LwrsYGg8FgMBgMBsM1wrUPkSabGeChUYg7G/kMb0P4k67sAjHCTuAzysHOrim7yl5N\nd+qe3IbaJDdAa4MKLSeFbLQ1nEzc5h1mtQYEO9lVl2aUeNE8foqIiL70xFcS2b2vfk1y7DNeHTio\nmVne/i7esfzpH/5xIut1eAfdAQ1lJqvarWFDBPVbkXBya5d013i8xRrg4oaet98xIefWd6rT/slV\ndsw/HWkmqlEgxo2N8M5xdARyoY+wpu+mXbrT3HfLXfzbqO4qn/oChw46/oxqd27aze1w+rSSYqoN\n1V4UCtx/OhAOrSlmih5pPwva/H6o0fIkTyQ0Jkcgw3Bpw4axUa3nvGhUux3M1NSf5RD30l7LjZrF\nZoO163kIf5MT6wyS17pd0cKCRtCPuTir1wZQf0UhR+aAJJkTklwEZYjifi1zJKSZVkstD15zFGJY\nNCTWJvPHIO3M8LYrEVFb6hfD3PmjXqof92cK9HXVrkN2ONHiX1iCjGopZVv/XJuV+k+Fekrm+/7n\nUWru9hIIhQTa3C9+5atERFTKKinmje3XERFRpaFh3EqXeM45Nq2koGdOHyMioi9965uJ7PS581Lm\n4dYVeWtKrwfktRzXi4O11ofF6qI2v4eWRx6LIYy1XJm1fz6jHhFRY1M0dHCfsTleE3tLOq+W83y/\nqKvt0aqDdWGL71MMtD8GA8mlDv5/efixGyMZDvqUJ/6lzNJDbL7x30xIfOtBX8wkREFYb6J+i3IQ\n94eTGx9jzT4GGsh7MiXEDO2ApWB+mtfb6SX9PTvBfWUhq9rhXZJxslJW60EoQQXiWDXPhXEOG7u8\nrJb8jTUloZ4/xdreSl779Z5dXJ6FcxcS2YvP89h9zwfUAl8uKlHvShju0W0wGAwGg8FgMFwD2Eew\nwWAwGAwGg2HH4Zq7Q7gkTqoCM3R5yxxya/yxA1X8hM8UB7JOQ+IigknMmzEdOrwDEcQ7kaM502fE\natc1zmI+x2aCIsQQbQlp6N57Nc7mE89ypqVTpzTW4VPf+lZyPC1ErVJFYyW+6f43ERHR3/7V3ySy\n5eWGlA8duofXVPNs4/XJ8QFiB/cOmMe+vsLmivVNNZNkYm6nDzl1O7n/CP/+j/Z9TyKbmleSYUlM\n8i7S9myJy8jipZOJrLHFJpXuhpreNpbZTFsY0RjDlQL3hVsOqEvLqQXNHNVucdnKY+rAf/Msx75s\ngenQm9BrTe17TSHsdDoQ41LMU5h1DY+HDSPQT5PscUBULHS1f7ZzXJftfP/7IrnCk9p6ME47UgfN\npprXe1Jv6L6UF5NqETIGFstaxoIQ4tAtpbHFfSoeYPVEco1vh0ajPzscmusxOZwn0Q12hxje8UpE\n1BE2JyYsjCQGZ6+DDDQhIoFJtSfktSjq77thXk2qqbmW2n3nZiQQdx4IWzmp81pD59+WN20PcIcI\nkSAF7+Jjhx5/UuPGt/NM3rp096sS2eJFNrk+vfR8Inv0aZ7HLwDp2a8/46Nqwh1G+D7ZhRjpsbRh\nNtTxOjLCa1kd1jkXoyvCoLWTZRHE6M3kWNZu6tzeE7JUZQ9kgMyJCRwyscYtnftdg90hsllwyfAk\nuCt4Fnn3pjTxzf+oMjfANQ2vGWYXpmzGuw6hFAmDft5NTVAiQZdTceeDMV4SknIJ4rnXZN4cLWh/\nj4GxHpTZ9aGR0Tk7JL5nIafz5bi41BUg/q93wWrhN5a42OTHtaz1JXU5bEkM/vGizvfLS7xWn3pB\nM1z6NasA5OhOG6IqXAGmCTYYDAaDwWAw7DjYR7DBYDAYDAaDYcfhmrtDxAMshVEqjl/6b+raAf/C\n+LQNMZ9tVMHkLuY6DH8YQmiKjE/BCOxvf8cupO5tS4HjCTWLT9xyhM/PKHu2Msom4zMn1DT/iU9+\nIjm+61V3ExFRroQmNX52JocxHCX+qEP2+vCaahafvi05Lt7EdbqwRyM8jN91gIiIDkH6wntWmL0d\nxMoA3VVg86MraSzAySl1VYgkPmmno2aZ+gpHBXnhaY0Revw5Pt6/RyNGnD3Lz4kCZYrmxUTbhliZ\n45Ma1aIywu+wd49G8xgRtwAHOX57kcRehDbyJv4uuEP4DMmdLqYb7jcTDwuKYNr26TM7YM4ErxTK\nCfO8BWPNx5NFE55Pf56B+ovkuFXXsbu+wqauAsSN7HT5uNPGlJhqUi1IxAl0MfGmtxBihXu3puII\npMuWstZh/vDX5CEeOZoWvbsExnr25sbBzPbhQUA+8gW8jzcdR/1zcg/Tz/b4uAvppEnm2rGKRg7I\nQGSBZBxAvWRkYs5BB8l6GbhI9GK+tjPAco3W7FTabTl+YV1jk//Glzmt/fgZnZ+7NZ4/LrS13Zcl\nhWsAC8fUJL/XvUfvoGFGEtkj5VLIbZOD8TxZYNe82hmM8KHtmZeUuw7Wt1giJqXaoTjTd56TiBzh\nFBQi5N/bEq+diCisa6SefG9TTkuFapIHv/RYSn5N+VHKn5TLDqYZlr9u0K9DCPkeSUWdx6gqiY/X\ngPjJ+AHk3VwgUki3ye3VBVewcJz7e4zReWIdpz6uerRL+1RTOsb8QU2XPSKx23tdnac7sS+D3rsp\nroT1hvbH48+qm0Mk0Wzm984nshefZRem5YsaHeLN736Qyw/z2jqsEVeCaYINBoPBYDAYDDsO11wT\n3Bm01cKd2EtogjFO5eYmZ/3q9lQ7sSUxK79xWklp8yXehYyMaAzIbBayTYmmB53/A3EOz0C2sfI8\nk9+K46rliCReXaepZRiV33tAMDh3QXcpn/7UZ4mI6LWvf0MiO36C49pVt3SH7OEwjmm31ff7sKCR\n0TqIitwOxTklpNx1hjXoLYjx17qN2zCMVIOQP30PERHVGo/reRN3J8euwjvMANQ/y6v8nDMS25OI\naM+evfz3oJLq1ju8x8M4sCOi1Zye1XcpA9EqiZXo+nfcMey4fX8tYGcWLX5M+n5JKsTUtcOrfyhB\n3MiREbZetOqqScfYu90AyFTbZK2mahhWV5gAg22YEw1uCYina6IJPgnj2ZMdKiXMbATEDflbTJWb\nM4JhDEwfj7gL5JBajTWBmDEuI2QUl4oTDJpT6RepLHIJGWXIIRqyTBasYF4DnLJA+fHSn3kr9Y7S\nj0sQo7k8omOpLlr+LMy14QDiTiTPyaDmXv5moL+ltJECJCgOiuH8Qo3n2OxJnWv9UOygBk0Oi6CN\nnt/FFqm3vk/jjw4japJaNQ8WT+fbOgMmGWnjHFh2mpCxsSgWqlwRNPKi+U+N+5jHbjPWsdvuSrvG\nakHJi4Y629b1sNBT4mFBypHqCwnhTYudxPqFzJ4J4Q1jAg/QHsepGLpyb/iuiOPhJSmHfsxFl1k7\nRBPvHH7GxSIDiRwHQJLcqvP8vLWm2Vt3z7EVFQMXYLz0mSnO7jpeVJJpIJHGcS3YavA67xrQrpJV\nMspoGeIeW/JPPquBBJ795hPJ8R333ktERHM3qZb5m1/9BhERZQsZOI9zBLTBSoXW/yvBNMEGg8Fg\nMBgMhh0H+wg2GAwGg8FgMOw4XHtiXLz9gAZ7o6P2esDv9Ro7OiMxzpPN1rpq7l4XU+ro6HQim5k/\nmBy3JGbskcOHE9nu/fvlfmo+HR3n85oQ1y4Ss2inrXFlyz5FK5hlWhD79ON/9hdERPS5z342kTkJ\nbtmAe8dJakM07wyv2Xx+v5ow9uefJSKiwqzG3Xw+4vYqgD/Mnv1CZOsq2TBcYheUojuXyNZe/Ghy\nPHHPvyAiogxp28Q9NqmMT+9PZDdJG6IZ+8AhJrlduKSpPKPqptwDXE16ah7sCVEkZWbNiDsAmIy9\nOc6lCAj95j3PA0jFqxzids0BIaxYYHMnkoUo0LL7FMTZLMa2ZuC4WVjg+t8S8hER0fwckx0qlUoi\n23+Ix2kAZbhwnvtFp6nttbGpsSQnJ7kvzcwouXFsYryv3OviTtUGgl1GTHPZvLp7hBLHFkl1adcH\nT2AFWXIw3A4RPm1qmAd3HXFViCOMEyzEQpiIMxL/t4XEHCHa5CDW6K5dSmJZWlomIqIuxG2tiptM\no6V1VZB2KBS0XOUiy9pAMqUkhqyWC1MAl3LSjuC+EnU9oU/v00uyfWM6bH6vaeiP97+R47kfuk3d\ns4YRgzRZPmawAxeBbJ7dVvLgWtSqq9uSj3kejuga5D0QInQ16PLYTsWRFl+VDrgbRY7XwZFQx2sO\nYgIHQb/rg19H8d4YAzwpV9yfnj3ysgHEe/49Sj2DSONfDyMCaS93uXklSSMO3wyO3yfl5iF1GUba\nUzIxnzc5pWuxJ6j2IqxTIBaKW0ZAQGqVtbG2oWTUrrRDCK6QfkjG4M568nn+XvjyIw8nslZN14jZ\nWZ7TyyWM/8v9dXa3zjMHDhyQwkLM65eh3zVNsMFgMBgMBoNhx+HaZ4yT3d6ARENEBMQ4vCb5TaVn\nz5whonQ2rskZ1vaOV9RB//wlJmO44oFEdrGkWqJokkNfvWb33kRWmmASXQYcxwPRcoRAlAiTUD56\n3phojHHLGcFupytZxpaX1AE9jvt3n6pR7KGw77xhwXh3OTleqHEd5DPqmD65m0OdFEPd2XWJtXDN\nAIiK40yUaI8eT2StDdUoX3iWwxNNHrovkRWKvPvEzGFfevJJIiK6dO5UImtuchkdpJXaNcPO/bt2\naZ/I5LX/lCTzDRICkjBMA0gUqKXwIV2w3/oaQW3iMCMDfbskJKdsQTWlKc2LvHsGtCleO4zv2xDt\nXxPC3G0Kaao8ppq3MdHCHcyD5abF16KGKUXWmGXy0hxoBjzpdXFJLQCNJmuvCqC19OS8HGiCPTkr\nBIJqkCLJ9WecTJ47xOOViKjX5LEYQkaoRLEP/di/Y4xZ8WRWxv6RFQ1Tq6baRAx5l5WbY+jJaEAd\nNaRftHraPwrZgn9wgozczyGRMezXyKeyM4r2r4th7qQMFchud/sEzwfvPfq6RPbqt7+HiIjKo0qY\nHkaE8j5IXvPjpQuWj3yZx5fP2kdE1ABNeks0wVWwtBRFT5YrQR1InfbqGtYylLp0GZ2TswHPqyFo\nDoMBVrBU1jdPXsPzfJ/BMH6yTqYzzUqWQdRapzTBPnvtcI9TD//thMRcDH3mrRsRfDMEUkduwDvi\n0PPfMEXI6uaarM1FrX/bASla2jjCrL0SQq0TgLa2J2t+DNnmpIitmsoWz3HYwuaafkuUYC4uiWUI\nQ2vOyPodVtVqFElfT63ZL2MuvjFWZoPBYDAYDAaD4RWEfQQbDAaDwWAwGHYcrrk7BPkYd5dxVk80\n62glGcAbWrh0iYiI1taUlDY+cYCIiKb2KEEqV2FH73ve+GAi62RVVR+IGWAMCBBJUZGU1vHEAv3d\nZ6IKwFQ6MsauFCHEY4whI1g8YJvhYxemnP9jb/oA0+sQm1efvfSm5DgIJTtRoO/tySfFQM1x2ZCP\nRyBOaVZcFdymtmFzVbMKLT/310REVH34RCJbkt8hAiZVytzGt+wHs3jMwYAbDXXJaLbYLL66oXFD\nm201x41JjFmMHVzOc5/JQ4xDn/kqlXlwQHNFYpbqpe12/ScOCTATWlEINCiL0TQnplTsp77/ojtB\nKNenSDNifi+X1TQ/PSPtBcTSiWl2l9naUhMtkhEnpqfl70zf77UGEE9lzOXzOhfkxfSGxL4kI9wA\nFwg8HnbXh0EY381jrN3ReS6JEwsm8ozoRrpdmA/FhSlIESNZtnBOXZmWL2k2SCTBKITcBpKO95UD\nYUvIV9i3MtKnsG85uKgp7lY9DKUq7i1T4NJwRLJK3j+7J5HdKdlA9xzWTJgliYuaIr8OI5I1FMzY\nLcm02dK5zZPXskD6xDWo0+b2CuqabSuWLINZcBlzmYI8FtzDpK1zBa1nHwc4bGJKST2MZe5PL/39\nc2OQxF+H+3iSGwFpLvbESSTS9bv0pJ43xHOxd5tE78nAqRuAJ6VFTl1EPXkt9Y0ldYQkyYyQY0P4\nwIk7DXmGzodLq0p4K43xHBtA5rm6ZBSsV8HdM+L7lDP6jdVpsptUq65lPffCc3y/CNwmcnqNj/2e\nwfEusZEXF9SFYkXi0Pv48EREOfjmuxKGfHQbDAaDwWAwGAyvPK65JthHoUEyQw+26kk+b/gcT/Zx\nsJvZXGcN8Innn0tke/byTv62e1+TyKpV3oWgZogGaKp8Jioi3Tn2UtmJREMC5AmN9qYF2xISQTqM\nS3+Gl0GKIwzV0l8jQ82Lo8rYVHIcJ1l+MJwKH7dhV96VHWu3B91OtO9RW7e7jZZqhX397xrTex+e\nOyzP0F2l1zo1WqpF9CG56h0MicMdsgc50duhlrEu5BAKlOzjtbiFvJ7nwzplgTgQOk8KA6uAaDsy\nw52lPgGGvymVWBuO4cJSKoZQ+naEOnl/GoRP6vkwglp/WZ8xrqia4K6Ep+uAJnhygi07mPkKi1AS\nkhdwHymbE+3fhPbRXFY0KKD58BrgK2l6g6skXERuuNs4yEnIpQGEFSQvdYWoFnQhs2NeLBoYFkuO\nV1ZVK9OFOdQTsJCk438fFMZqIDkaZB25NjXTwn2CpBPo83aLdeE973p3Itt/M/eLvTPaP7oZvra9\nTwnTlVHWfiKxNm1/Gg54S8ugjJZtSLPXEZJpBjR5SCYiybjV66qsVefrt1ZV01cc5XrLgWUskjkP\niYqqwQNLEjLkvZE4ld4s9Sf1e2p92X7Btt/11wFjMq0mHVoEsvYFA76XiDTzHWaZ9Vpa/JbxmXex\nG7fEWt2BNgzFqt3t6lMe+dhfJscVafcpCIPorYHrq2oBOnLkFiksWE5lvl9d0YyBW2tey6zPKxWB\nhN3hb7A6WG2jNq8Naxf0eX/4W79LRER3H9VMdkVZV370R3+CrgTTBBsMBoPBYDAYdhzsI9hgMBgM\nBoPBsONwzd0hvCY/SMVp1N/RMd/DDbCFtSRTyIsvPJvI7nvwbURENDqxK5Fl80yowNifaBrwt+5C\nbFNv4sQdgTdtpqyf8g8k7qwssykQYwOjCSYWR/VB9wmAjOItWWnrzPCaV32MVUTaxCm1CSY6F0pG\nohAzjEmWNegUOXCh8JniskC6C3tc/wEYRn1MRVfQe+dCNu+MjGhfqDY8MU7JH82utme1LuakVIBS\nbqcsZNry2QNTCeMS3x6IuapBhgnOpGGFo36T6sKCmkIpxneTWNoDXAQGuRDgaX4MHT+hhMeemOgw\nLmYk9ZaDWMU9INidPMWkrIVFJVP6eN74Lt79ogcuC8WiEHzAfSWZC7Bd8V2S8/D9Av9gGmYkJE54\n35yQl6in7j+RPy+r/d136Qy4xviqzGaAhAJ15eNvZzCuaJVNm4NM1+4yxx6+XVOaGwyhKr/vnZtL\nZD/5kz9CRERvedf7E9nCAscwn5jS80oViT8KWSGDzLXnjb8S8ERBl3KHEHe0lhKTqxu8DqYzJML8\n7Oc0dO2T8d5saPznrjynPKYuh9ksm58zOSSZyv1S6yHc27txoLvEtucSEWVz7PaWGwECmI9lDd8P\nPm5uJgfEz5qWp7qSl/cb7F4wbAhDHn84FwUYU1naIQLXvp58h6TIvj7XAVS9z5zZAdeXRovrZW1N\n2/rscxqzf2VZghJA7gTvIRgVtAy3HOHY/pVR7R/nFzmwwbkzmhm20+b2cvAdFHW0v24u87qTg1aq\ni+tVERiWGxf43o+d/7S+oB+7/x9dEaYJNhgMBoPBYDDsOFx7YpyoglFblNKJBf1aokSTmiKn8N+T\nz30jkT3z9a8SUZrkVh4V527IToV5tDMSVqSXInCE6YeQavow3EqtwdqrhQXNRLXsj1OKjUHx3vq1\nSfh+qjAckClnCBGT1q/XwKTIRBq3R88LPHEMw9b4MFvaFXNANnMZ2d2HIItlh0z9GosMtJeT0G1B\nFzOCMdkrl1dtYrWpGgav5cCa78jvtZ6GWuuEkskMNc+5/mxjGdEshSny1fCRazxQQxcGQmZYVWIC\njitt7gGEFGgazT8f952QmgsSjTFqtJCUJOeh5khugPnu/eXBgDknTGUY6yfc+Iujy2iL/KlRqp68\nNUPP+4Vf+NW+cl93+HEKfTF2EhYLtU1eww+t0xXLThTBHCkaqL233qmPAGtJo81t0uupdqfpMwBC\nJrPk2kFZrnD+cDKeoaKnJUQeEdGddzEh5x+9/o2JbNdu1vB2q2r52bPndr4PjEM//2D2rWaLrykW\nNFziUMJnWQOR7+d1CHcWCeGp4pSMikQ2f4MQ+3bYnyXMj412S0MQ+joKgUjebrDmMNtVKwPeO9EK\nB/1lQGSy3EdHp3We7nSEdOl0Hu9IWLhCGTJ2NuB5PZ9R7qXJdMMCTyJETWmY0fHlix7CuAkHxOn0\n5NFwACESx1JGLDoXzzyTyDZWNCugJ6pFkAGyIWXcf0CDE8zMs2W+C+vziePHiIjo/2fvvYMtSa86\nwfNlXn/v8++Vr+qy7b0Mci3XAmRgBAhY3MIAM8ywRLBDzMAysTDsDhCzywTEwjLADGhwghUDQoAA\nAZJarZZarltSG3W1L9vlnjfX35uZ+8c5X57ffTfLiOjqusU7v4iKl/XdtJ/L/M45v9+5cErlFCMR\nH8AMuq0Nfdcc/fITRERUG9P+euY4H59HR608A/bRiyQozoRZgg0Gg8FgMBgMWw72EWwwGAwGg8Fg\n2HK4+sQ4HziNInVIZvAm/QBdl+KOyyAdnTr2fFr2h//1/yEiovd8+/emZUcm2DXXhEB+dBCUy8NZ\nh2KfichhgL4E3oNLdXVtlYiIHvvyo2nZubOnhi8ykNnGG+aTod/R1eePj4eLRhLdnrq4yHk9UMgS\nRsNu7JQslYOwidBnA4L9AyAt+r4AlRGm9YfkJP+bwkvLJsDDy4trqAyp/Mah0rtCLEgydJ8HQnbE\nhYPasJ2+bANxK5SwEbwvJAGOGvAZZ0VHdedOzayVGQ6BZDnvZhsIO/D7g1Z4f9hhlYZDQM/3WRzR\nbTlAnJO2GyC/yu+oWQtX0U2vb50RvoQuP7xvH/qDmqz+2hiSMYrwpK8o0PtMfP8dmH+9rqi2tddw\nbkEWvk6b54B8oOFGkxPb0+2SaHY70OEuC6nm1Inn0rK2nHuQPD0cuhGID/SmIwfTsm9+9z9Lt6e2\niXY36CBPn2JyTeexD6dl8S7OalbsldOy3k4Oq1jfq6F1PXG1H7rh9WnZIKl3NOA8iTsYtmnFMEd2\nRC+9DKTwPJAf+/3h8+SlvWLUBJaJ1eU0i1wceSI59KOOhI/1MXOjwk8bLkNfG6MUWht8D+0XICSO\nPCkMQtl6PTkWs+ShRrFkmYuRXDa64RAVqfOB8I0ekgNlA95fYeSJvcN9IYH5cEqyq5XhC7DX5lCE\ncy+dSMv8uCeiNCsgnrs4xmPpnjfqGClJ+ML6un6DPf0YhzbMv6TEOP9OzMGYSiCcprnKORjWVlb1\nFjyRvgA3Lh8HQaTtGkdX3q5mCTYYDAaDwWAwbDlcdUtwJt8rGf594MtdFpMDdhVZ7bTBEjUuK9ex\nCc1X7vOMRxGsmEK0HImlLwG5K1khdWClFEVi+YCV0LNPc7a6Z598Mi1ryQjVAQAAIABJREFUp5aR\nYUvvwMMMIGvlm9ZExv6jh7gPxBZZjTvIEJN467BDq563roOVTdoDA/RjWGmm8j8DJnKxNuJ+WWSz\njKr3Rwxk/kLjoM9ONJAFLcsSHA+fJ02BBFZL6WcDpJ9RJjzCvfvc7WFeLTAxWvvFIhQMkJf4L+aX\nDzIsvGk3H7CyitUfMyDJZIHZFWNY8UfeqoPZpDIIdinXFodmQsP7ZWSnGshUlZJAIYOd3EN/xC3B\nfbHkRJBBsSfbnS7IBDZ4uwOE0fUmW/W6DSCHtph0FcEcGQKJpyhSXEWQ5No9O01ERAFYa188wdah\nWkkJMDt37udjy2ptvGE/W2tf95qb07I3vPq+dLswxvPPyouaVTR87nN8j5J5kIgod55llpaA1Joc\nP0FERGs1zSLXK/A9rq3vT8ump/bRqEGlsjBbm/eggUcmHn635CETYz8lYiEhXcYSumXFWpcva13l\nCtzGaGX1U3aW7KLswX8i+N2PRfxGiMRbGGdYulEerOeJb0jig/OkqQmxcOiUI4OgP3xzKM3o6w2n\nrzjnnw2OlXdjBDtWJtgSnOT0fIWKSBqCvBqS7ryHHqtvdgdnWNx/441pmc+mevy0ZnVbOMljvNcA\nKUaZx4OCzg+FsnpiCiV+d+a6+iyxSJv2+yh8MEy8Dr4Gb6tZgg0Gg8FgMBgMWw72EWwwGAwGg8Fg\n2HJwoxwYbjAYDAaDwWAwXA2YJdhgMBgMBoPBsOVgH8EGg8FgMBgMhi0H+wg2GAwGg8FgMGw52Eew\nwWAwGAwGg2HLwT6CDQaDwWAwGAxbDvYRbDAYDAaDwWDYcrCPYIPBYDAYDAbDloN9BBsMBoPBYDAY\nthzsI9hgMBgMBoPBsOVgH8EGg8FgMBgMhi0H+wg2GAwGg8FgMGw52EewwWAwGAwGg2HLwT6CDQaD\nwWAwGAxbDvYRbDAYDAaDwWDYcrCPYIPBYDAYDAbDloN9BBsMBoPBYDAYthzsI9hgMBgMBoPBsOVg\nH8EGg8FgMBgMhi0H+wg2GAwGg8FgMGw52EewwWAwGAwGg2HLwT6CDQaDwWAwGAxbDvYRbDAYDAaD\nwWDYcrCPYIPBYDAYDAbDloN9BBsMBoPBYDAYthzsI9hgMBgMBoPBsOXwin4EO+fe4pw74Zz7mHPu\nAefcd/0jzvFzzrm3byr7AefcM865++T//84592nn3B8658JN+xadc7/jnPu4c+5Xpew/OOc+65x7\n2Dn3Nin735xzn5R/defc5KbzfI/s/1fOudqm377fOfcp59znnXP/+mLnc859vdznw865n5f93uic\ne9o590Nfa91cK4xIu97lnPuM1Psbpcw55/6z3NefSNle59wnnHMPOue+I+M+LtWuNSn/tHPu+6QM\n2/pHpeyd0oYPwbHvc84d3/yM1wOcc/dLfT3onPuQc27qIvu9F8eJc+7TGfs845x7v2zvlLb4TEbb\n73fOPSTX/IBzzsFv9zrnYudcIP+/2zn3D3Kud206z6WucReMyWPOuR+He3xA/t0M++9yzrWccwfl\n/7/tnHvuymtytHAt2lV+HxrHm8su1jZwjstd49fk2N/xfcfxHPxp59yfOufKUvYn8vwPOeeOSNl1\n2a5uNObhN8tc+Fnn3I9I2U/LHPkF59x74TqPyX3+m4z7uNQ1flD6xB9AWdZ7fega7jqeh4lszErZ\nyztmkyR5xf4R0VuI6D/KdomIPkJEd3+N5/g5Inr7prIfIKIfku1ZIvpr2f5JInrfpn1/kojetqns\nBvk7TkSf2vTbDBE9sKksR0QPES8ivoOI/t2m30P564josYudz+8n2w8Q0Yxsf79/nuvh34i0618S\n0U4iKhPRR6XsO4joBzft9+tE9Fppm78nouBraNefIKLvkmM/JfsPtTURTRBRnoge2nT8f9j8jKP+\nT/rrg0RUkf8fJqLtF9n3d4noEPz/oYx9HoLtXyWiryOiChF9ctN+E0Q0Ltu/QETvgd9+h4ge8W1H\nRH9GRKWL3NNFr7Fpvw8T0UHZ/vRF9vm/ZZwevNQzXg//rmG74jj+KSJ63xWM7bRtrvAaryai35Tt\nnyCibyaiHUT0ESn7ViL6cdn24/c+Ivr167ldaXTm4d2y/flNdVwhos9d7DoX6SNZ15gmooNE9AdQ\nlvVez7wGXYfzsNy3jdnB/vSyjNlrFg6RJEmbiH6Z+GHJOferslr8K+fcmJT9d8cWnvc75/7DFZ76\ntcQdhYjoE0T0uk2/v5WI3isrjm+Wezkpv3WJKN60/z8jor/aVHYjET2RJEmcdY0kSSLZLBHR0Yud\nz+8nK6tzRLQu+zi6TnEN23UqSZJzSZK0iKjinCsS0TcR0W3S1j8s+x0koicTHjUXiCcSj0u2KxG9\nnog+Lsc+RkQ3ZbV1kiRrSZL0Mp7hemzX9xC/bJpEREmSvJAkyQXn3D+Xev2ic+4dzrm9RPROIvqA\nc+7fyrFZz4tldyZJ8gU597pzrup/kDr046FPRH6s3EpEp4loQ/5/gLjuP+Sc+3Pn3Nym6130GukN\nOVchoh1JkhyTommxNPymc64g+8wS0RgRnbh8lV0XuCbtSoPj+OPEY+qiYzujba7kGgeJ6AnZfpyI\n3kBE+0jn4sflujhXj0n5Pwlcw3n4GSKaEqtdXe7F13GViJ6EfX9Jrn/X13KNJEmWSeYDwFtp03v9\nEte4HudhIhuzV2XMXuuY4LNEtMM592ri1c1biOiDRPSjzrnXElE7SZJvIKJn4ZjkMuecJP2YXCOi\nze6CQ8Qr5PcQ0c86cakK/g8i+q+b9v9W4lXNpa4xuel3cs79rNz3ly51PufcvySeOJYu8uF0PeJa\ntOu8c+5W+Qi6XfbfTly39xPR9zrntsn/3yoD9XWbznO5dsXf1/2xl2jrfwrYSbxA24wPJknyNiJ6\nBxH9ZJIkp4noo0T0vUmS/LLsk9WmWIZjL61PhHNuF3H7/YMU/QQR/b+wy3bixcv7iOi/EdHPbDrF\nZa9BRO8ior+D/78xSZK3EtFJIvoRKfs3m657veNatWvWOJ7IKPPY3DZXco1nia2iRERvl2seI6LX\nisHBl5FzLu/YVfxrRPT5jOtcz7gW8/BfEPeXo0T0R77QOfdfiA0HD0jRryZJ8moi+l9oeFxd7hpZ\nyHqvX+oa1yNszNLLP2av9UfwbuJGPUREX5ayLxFb5/aTrgwe8wckSfIfkyR5gC6OVeKwBpK/qxm/\nPySrkReIX6LknPsWIppOkuSDfkdZqcyApRjPMXGJa1CSJD8vz/WdTuJ2ss6XJMlvE7/E92asiK9X\nXIt2/Wki+hUi+g05/yLx4PyUWHY/L/fzn4joXxLRnxDR08TWYLzGpdp1Jesestr6nxDOEbfnZrzL\nOfdJYq/GHikbsDYkSfLmy5wbrTlD9S1W2N8jon+RJEnsnDtMRKtiCfLXWiOiR8Ty9QAR3UyDuOQ1\nBN9KRH8O9+33+Qsiut05N0FEe5MkeVque71akhDXql03j+MVuvS4G2ibK7lGkiSPE9FXnXOfILYW\nXUiSZJGIPkBEHyOehy7Ivr0kSe4jDn/6+cs81/WGazEP/1/ELu8jRPQDzrmSnPfHiMfmz8j//dz5\nAg1/oF3uGhe7r4H3+qZr/FOAjVl6+cfstfgI9gHPJWLrykeIv/hfLb+/mrgTHyeiO6XsTrpyPEK6\nongHDa8UPktEd8nq4gYiWnDO3UlEPyb/EO8mXlGRv2f5yHmO2M0eZF3Du1CJ3bgNIupc5HwFIiJx\nrzeIqPU1POeo4Zq2q7iG3klE/5qITonL5GEi8guLO4noZJIkC0mSfBvxAOokSXLiStuViD5HRO+Q\nvnMXET17ibZO6+Q6x98SW9FrRETOuUPOuR3Ei453EtF7SUOIesRx0leKJ5xzr5PF4ViSJPVNv/83\nIvovSZJ4S9UdRPQa59xHidvzt4joeSLaJm12D3H/8hbky17DOZcjopuTJHlS/p+HNn0jEb1IRDcR\n0WG57tcT0W9+Dc84qrhW7Zo1jh8lojdvKhtqGym7onZNkuQXkiS5n4iWiehvpOz9SZK8nXjx+zdw\nDSJ23Te/hmccVVzr92ufiNaSJPEhTDieOsSLVoKQjFmSvuWYeDx2Bdfwz4nza9Z7Ha8RDp/iuoON\nWboKYzZ5ZQO730I8+D5GbLX5Lvjt14lJSX9NSoh5v+z7+0T076XsB4jonk3n/QEi+mH4/08R0aeJ\nVxE5KftV+buDmBD1WSL651L2d8SxJZ8kog/Def6IiG6F/98P9/F9xB9ZHyFuULzGz8m5PkNE/+oS\n5/tXst9DRPR/bnqe640Yd63b9Yfk2h8hJTrWiOhDcsz/LmXvlv3+wV/va2jXMSn/DBH9zxdrayJ6\nlTzfslynAPtej4SMtxPHfz1IvMKfIqKfJaIvSPt+WvZ7nzz3j8j/fy3jXJ+G7d3E8WQPE9H92A+I\nQ1XWpK0eIKL3bjrPA0TkZPs7pY99Etr+k5e7hmx/AxH9Epx3G7G17EHisKXqpuv+dxokxmWS6K6H\nf9eiXWU7axxnlQ20zZW2K/HH0Sflnn8ajv0fxDGNvyz/L8p+n5Dym67ndqXRmIe/kfiD6GHSOfc3\nSefI90rZb8n/HyaiN0nZDxPRd1/BNd4jv50hoj+Vsqz3Ol7jPrj/63Ielnu3Mfsyj9lr3qiXaXDP\nAvwpIvqfLrHf+4joi9jRr9L9/K+0ifF4Fa7xRnmW77jW9W/t+rJe433ELsnXX+v6v8Zt/wARvf8q\nX2OaiH7uFXiW36ZNajJb9Z+16/X3bwTn4V8kMTxcxWvYPKx1YWM2SVJLykjCOfd7RHSA2CL07UmS\ndK/tHRleDli7GgwGw7WFzcMGA432R7DBYDAYDAaDwXA1cK3VIQwGg8FgMBgMhlccXwt78B+FD/3u\nb3DwUajf2yHwNMMclzvgeXrrdBxr3gq/nUSqspFIWRypvG4kvydRX4/t9+CYrpTp71G/zX97XSjj\n3xM4NkrkeokeG8i9okE9dlqtQaEk19Vj1PquDx3LY7XaKi7Qkef62V/70MipDNx7ePdzxDI4FIYX\nJ946N3zrQaB9IZfjukKPBLZ72p7w+6W8F1n74fkud8yV7pf1XFnI2g/O8yuPHz//b4d2uIb40R/8\n3j8mou8mgnuHZ8C2cynhevh33C/xP2M1Zy6/HQ1cd+AXuG6Ak8XgsQPHDJyHj8/qH5frM7h94fxL\nRETUhzlnZnZOjk3npk+9/w/+v7cO3dA1xof/8/ckRESVQiUtO7vG93x2QYVpJid4zjqw/wY9uDJD\nRETLkR6bBEz6TyCrLdaVrw8HDR+EMjdC0/h2Qsn2Xofn5GZjOS3r93l+zhfKaVm+UIRz8/20m6rW\nlCR8b71Izz05xcpOAQgGRHLf3c5GWtbprG2+//qP/9jPjNGI4df++G8TIqLPfOYTadnfffB3iYho\nbmY2LXNhnoiI2vCOyeWh7WSgdlvDIkUhjLlcnuu51W6kZf7nYrGUlt33+jcREVEE477R0Pot5KT/\nwO9PPPkVIiI6f17lcIOMuSKJ+aB+BO8KeYke2rEzLfume+9Nt1vyLpka0z5cDvnG//3v/9HIvWP/\n7Bf/RUJEVBurpWXVuYPp9v7XcU6QHNQ55Ja/ZFni+zTUfWY2jQCP8afB+Z63B16hGa/TdD/cLeO9\ni++NZpOFH3I57aP5ghcagWNlM+7rt+HCUzwWbrv/ey/brmYJNhgMBoPBYDBsOVx1S7BahnD18DJf\nZMDiI9Yd0GUe2PYWZbRYxMMWIS+3h8e6mK0/oQPLYuJXQvB8To/JObEsgbW0762b8bBprFhUy4aL\nRneNElymETOteRll3nKE58s6d5a1LssYG4PZwa92B6yS3ntwGasuHpN6IS5jMb7UefC3UY7DL4KV\n0NdRApnEByzBiTwbtpc8ZwD93ZG3AiSbd6NNJkH5M+AW8leGexi2TgxYNJwfk3g9f/xw34pjmB+8\nVQHGZgzeJ9+/yhXN+JkTC1scj7YU6dKZF4mIqF2dTsuePs7W1bkZtTYtX2AL6J4JrYNxxxa8fFPn\np3CMLeAN0mO7Pe0r9TpbCrti1SUiGquy1apaBYuytMn0uFp4l3oi/+nQisz7hWAZwu4TibctgvZy\nAe/rwBPp+4JDD4b0GfRYBmLhTpJLe5KuNeIuW26bG2oB95bbIABLrx8DDsdSCNv8OZCDOvBDH9+X\nffGS9rvq3cznvUdPD+10uW8VS9rWA3MxDc8v3suaz8H8m3psdD/fhjnYL5R+tGtOrd+VUiHdTuS+\ny8V8WlYIR/cd2425TtG70mup9T3qsUU/yOsz6twJ48bPqwNn93UPc2SS8UJNcK7N+k7K8tq5od8y\nnN+Zluf6hnoKPvqXHyEiogOHDqVlr3rdawbuH88EnjhKem26UoxuDzAYDAaDwWAwGK4S7CPYYDAY\nDAaDwbDlcNXDIVyGi9MNe0AH/Sje3Y1uWNmOaZh4QQmGLHTlr5ZF4Nrs9DwBQoktzRaXNTY0i1+/\nw66GPrgixqIFIiLasU3dLT1xvbW7sN+U/p7L8bV7fb2HUFxCvQE3kIRIkCLMXfXm+UcjB/d2qdCI\nyxHIsvtHxnaGixzdnq02t3uvP+yiK+b1XgsSWD89oa7XGEiLF1bF3ZQMk/eu9FnQXeTrZoCcd4Wk\numuBMK+uQk/6xE45EA4h7uIA3KtJ4NtTj8kkXKSu2YxQpoHQhvTKcA8Z4RBZGPhxmJjh/4Pt6tvJ\nuWR4RyLq97ivTJW3pWX5PPelfjTaMqtnFrm9movaFxtdLovW1S2+fYLd1/2+uhT/7O++RERE996u\nxJxca52IiJ46oZlL51eVdDW/wu75jXUlWpWKPP62z02lZdtmmWt2391KxNtW5DFXmdTwizNr3E6d\ngTAX3W53+Do4nn2oDpL3tFtj6JSEZYVAAJNx3+2OdrveePNhIiL66N/rfYZp54YdZQjh3B0CiTuW\nnfMD751AynReiIR03u9pW/tQlV5X36vnzp8hIqKdO3frfm44/KILhPRymUmL0YTu15Nx1Wmpq7wL\n11Hw/S+DS/3s2lq6PTXG5y4XNHygBM81atiQcJOxntbF2XMr6XbtwhIREe26QUOzyId3DPPGNoUx\nDM/t+m2F4TAYCjTcp/xnlssIc0GkxOasUAooOvp4mm2Znv7K40Pnvue1r+I7xHeAD5cBEYO4N0zu\nvBjMEmwwGAwGg8Fg2HJ4BS3BA6XpVro6ybAEZ5ltsiWOwDrcZusEtdWqu7iuloGnzvH2cltXT60e\nrwYXV7Ws0+LV13R8Pi179xFZFSdaba0ur4bDQK0m3dai3o9jaSFcfbueWH2BYOcXe3GE0iajazEs\nwGpaiWpXeL+wWyjEjBAsMKB6Q4FYevJgzSWxJpxf0lXxQp2tBat1bfdAVrE37tuVlr3zHW8mIqL7\n3vb6tOzJRx9Jt//gT/6EiIhyuYm0rCTEjgFSRwa5LcuqnSK+pM1yZJAvqNxOahXFtTISlcSSkyVZ\nhha61NmD+8XDfUYt6XA6b2rod2A/6Au5oi8cuh4NzBU0DN9vB3hPw1Jq0YAsI5eXSlpPvh7ybrRt\nCg8d4/ssVbT+6g0eL95jRUS0fZrH9rNn1LLy/Es8v1Un1Mr2wjmWsTq3oGOuh3WVIUHXFpLcRkMJ\nPqfP8fx74bzOtW+4g8fsvl3jer4Gn2fPnJaVq7r9/Hm+D7QR+v6Dc21fLI99sEDmCtKXwavorZuj\nOwszCjI3dqBOC+LRKQDRuusfLdBnRJKh9+gUoKzbEzJ4xvycB69RKmMFbT1/gfvHqZMn0rKJicl0\ne+9etvwXSuqVG5vk92WxrEp0dSH8dTtq3cvlhj073gNwal77UbevbfyWO+/iZ3HaZ9wIE+PaUs8R\nvBBPn11ItztfYavpjr170jKVshv2biG50XuevWeLSK34OCfnoI0LQjJEMmVqzI2HSYuDztsscrl4\ndjo6tz/y+c+n28dOHCciouKEEm/9vijF58/Zh7budo0YZzAYDAaDwWAwXBT2EWwwGAwGg8Fg2HJ4\n5cIh8HMbXaVuWK+O0vAG9FMKccENl/WBDLXR4O0aBEavL6uD7MmTbFpfhJCGpNOXe1S3TK/Bx9+4\nU91J23dKYH1xLi17/gwfe76p5JBbD6sfIN9ll32rDa6jErt68ujCFZdHD8qiEfagDxKkLk5uQ1d5\nrcjHjJegLiTr1C13qBZgu6/nPnuGXVvVgrbXyXkJg8hre+3YyddB987hw0wYeft9Gvpw0xHOJtSP\n9B4eeeLpdDuUSi/V1N1SKOTlmTCLmHeb4zN7F7/egydB5rAxR7hdwxAJj8PijgNtnOF60+xawzrM\nGA6RhDLuwY3WFdd8r65hLs01Jn+4jrrcc0Vt9/IO7jcBZA6rCgEGI1B6/eHsZXCD6abv1sgHydKd\nLcL1klSncrQd5z0Za3EH3IYyXpZXVWN2ZZ2frVzB0Bh+7ge+fGro2IG6yNBXduBK78q1u3APxVTL\nVcf9Xzz4PBERjRW17r/l/tuJiGh7Vd2jzq2n29U2PwNmBKuN8TNs9PQeTsyzS/m5ozrub7/nTn7m\nEuhbi3u9Whjtdj19+jQREa2trEKpDxcYJp7mgAyG83jfE44HyFBe9xvfl0I+HyAn8d9wgCDFv+P4\nmV/QUMGukMUrNQ19aDbbQ8d0mnUpA3K5hBfm89r3Om0+ttPVd/HpeQ0fOLvE194/M6OPN8LhED0n\nGf7gnXZqcSndnu9xOMQb739LWlapcd9HbfOG6HWfPXU6LVuSulhZ0vZYXeLsjC0IT6iMa9u87vX8\nHj145HBaloZ5ZmWWy5pqYduHSMyfOZuWPfHYY+n2sTN8v03I0PvM0zxmb7/jjrTMk+Sirn7zteEZ\nLofR7QEGg8FgMBgMBsNVgn0EGwwGg8FgMBi2HF6BtMlZrvL+0H6ohJB6FZOMEAkoawm79+mX1LXW\nWuP93rx/R1p2s5tPt5sddhl95jktq4i7a1tRXa5r4gp+6y2q+VubZG3Lck7Tji602F3/ufPb07Kl\nsioLvHoHX288VFdVR0ItwpIyZUsBu+3CSEM3eiPsNkdmcGaKZPk7Dikzd25nN+ZEDVKmCiO1AOz/\n177uPr1Okc/UaqiLq9nmtdvsXg2hGJ/gNolAI9SnycwXwY0m3PE//KO/SMse/fIz6faeWW6TMrjo\nkvT59Nx9fx3QE85LWm3UrQ7Iu4RJy172vOEvH5zDMJescIiBnTf/DKExw884wBaWg9YX1BW2duYk\nERH1QdmlXud2XwG9z90zyu7uSwjF1N4jadnr3/ktRETUamuf+dJnHyAiom5TXWZBidVgHLh6/eSD\nd49pf4sldr8OpIV23u1LI43VRZ7zMI1ttcKhJStrMG4y0lx7BnYXtGG9vzMf61wwkG7az9Wgkd5u\n8fE9UGbwbvUmtM2GzIMbMFZ+/8+/QEREr7pjb1o2OaV6zUuiHrFvuzbE4b0SJtXQ+37s4WeJiGjH\ntCrcHJzmZ+h3db9STsIhcqOdNnl2O9dBHA1rukYDigBeJUD3Ql1kHyqEoQj+eNQ590o91TKoKXld\nfTi271WQMGQM09FLt+h09ZhyhefddkvHbkPOmYD2/9wsv4t37VZt6WdeOMb3B6FzraaqmZyXcJFF\nOPeM09CqUYNz3D8XIFTpK888l26XShzKcPr4ibRsYoq/PRYW9fvm6BMcNvH80WfTsoYP30RlLdF/\nbkN4aQfq/IUXXyAiopvv1lCE6V3c96an9JtoZpK3d8/qN1HJqzlkaLK/+Lw+04nTGm7Vkfs4fvJk\nWvaffuEXiYjoe777u9Kyb3z3u4mIqN/Rdu22TR3CYDAYDAaDwWC4KF4BYpzP/nYRYpDXkhz4fVgn\nOIl5BVFv6hf+/MmvEBHR48c10L3V5RX9W29UayxIE9J9N/Pq6cax59OynFjr8qCfmIgW6cS0WieS\n4pTcnlprWy2+n7WOroq/ckYJJfU6W46+/qCuNyZk125XV3hNWfXlcmqBzAosHxWgJdgDLZxeR/XA\n/gNp2dg4P3hzfTkty4mldwk0f5cWNPh/9y5u25kxtF5xne7dvz8tK09IH4BlXW+drYfrkEHo5DFu\n90e/9HhatrChbbxvD69ey0C46DvuF3Gi1r8cbHvkIy5LwDJGTixeo9yYgAEtZPI6wReB/yFwQ0VZ\nKePcwBCXzI0bSmzqiTWpB5ahpTq3zfS0jvFtkLHxwG2vJiKiN3/r96Vlp19g8sTjD300LXvmSW7v\nMhBhCpNMcJ3aq0SPvOjOomeqBxnDfL9G3VRv6cqNcIZHIqJan8ddc0MtJlHAdTCQRUys3Eg49hbB\nCKy63oKLFkicx73lsQ/ZvdrthvwG52n73/S+PJN6H1j6Tp1m3dCnj59Jy8YnNfPc9u1Mev3so2rN\nzcn4i3rap4pCdH3tbWrRGgt4jsiXdb9KXrwayWib+GOfKQuseoHo9hZhHstJnUbQnwc0YcVdNTDe\n5Z2IFtw7brqZiIjuAnLS3/zN3xIR0Uug9exJpAS6sqh5m5N+VgbPhCftYX/stLltJsf0vfpt3/Qu\nvkZe37snT7/Ex4IXDz0Tp86xdfSpsRNp2W0H9tOoYnmD2+mJx15Iy84v6zdDJcfj5QO/9/60rCtW\n81YdPKct8TyD9yoSC28eygrSxg7KAiAjnjnJVtqz8+f0mDn27sYV7Wfe03Rw9/607OZD7Km78/BN\nadlUhY99DHT6G031AnqvLs4VJ+Qefv03fjMt6wlxsBDpt+HTj7HV++0/RJeFWYINBoPBYDAYDFsO\n9hFsMBgMBoPBYNhyeAXCIfzWQAyEbmWkTfZbqPO52mbz/VeOqZn/8efYLXp2GVK59lkXcL2tLtNd\nE0qk6RK7E/YDca67doGIiMKcumXUlaeEnFyBzffgraVQSALNlrrgggR0ColdOM/Mq9vm7n18gnJO\n3Y3dLrsBNhrquu/1hkMORgVZ4RBZBLnTZ17S/4gXswa6m4f2sQuvNxw6AAAgAElEQVSzB1qjOUij\n6XoSOhFqe/ZJ3GgVbdeiT6ucU5eZK3CbjE3quXfsY9dhraZao1Ef0ld7/d+c3mNRXIJ9IHuF4h7O\nozasVEkMZLlACI9ILMlKuTw6GE53fLF02JnlScZvwXCKU+p53W8g4kn64S644Irimpso6vnCko6l\nN33ztxMR0cJZJVR8/EMfICKixdNKuDizwm541CWeWeVQjNa6uhj33v5avq+y9o82kCzKVb42pg4d\n6eYElAPu+1MVcHfKcGlRCfbkuu6C29y7rrH+fOgMkgS7oM/pwykwLWp6ToiN8eluo4Fz8zlX1jRM\nqi3H9kA3dXlJQ6c6bSFn9YFcLAS8sbI+3w17ee5H93Cuy+cpl9EVzNtRhImYRw8dIQ0XIGQhL/WX\nh7CCisyrdQibcDB/+TpHAlpRygow35dEp/vAwRvTsne/k+v5Tz/8l2nZ2hq/0xIIHcrnlYxYkBTt\nk0Cq8n2vBwTFTpnfy297/b1p2d4D7FY/d04JYGXRjy5VMM2ujt36OrfxmSV9p+/frqFwo4a/f/Bh\nIiI6N6/PCK+lNLTk6NGvapnYNdtAPC0EPsQE+ra0SQDztNd4xpTwGBaWy/HvRdA1aJzm8ZmU9B27\nWuL6XV7Usfvk0aNERPTp7Zpj4da9HCr5zHNK2Ivgoy8lZcIEGwd88ZVVDan8LQmNmJnUMJg9u3bS\nlcIswQaDwWAwGAyGLYdXgMkhxLcBS28WCW5YWqfe1CXHEyd5Zfj0BV1JvjjP3/Cduq4KxnOSdQpW\nkgnItuQDXiFhZqzcOJPokPThTdilnF6vJZaIJFZrbd8/H1q+wMKw3uV7fHRJVya1EptEb9kGlg85\nz0RBy9pJg0YVWUSarIxxA+3ut/O6Us8X2Kpw+PZXpWW7br013R4TeaLJbVp/lck9fN2CWoy9sWGj\nroH1ZyWT0gR4Agpiidi5e3daFkN/XN/g43fOqnWiEvIqtx2o1SCULhXAytVlSIZ5YD2MtkTawP8y\nfs/OHpeWBYN/icACjNpMPgMkEHdCseInsVpqyiHv1+7qtSoz2nYTMyzR88VPPpCWeUvh2IS24YEq\nE+ueh6xJXfEAbKzo9ZaPM6mutgcyGLZ1Lpmdm5Png3oYnsJGEust7rS7IWHWGkn2L6fzXJJa80HO\nSqyDQYheDt/YkOUyVqtpIyPTl5ffwvrzslrhgOwcn3tpRTNatXts1etFYIqCzSiReXmgn/G1G2Dw\nW1tjy3+Q6FxRLoiFf4AQyQd1WqNrLSQiWq+zR6Ne137sZf/QChtmzDshtGcobdKDOc1ba/Gd3Wx5\n66oee+DQLUREdN8blDT18Qc/S0SD3oFwwIPC5+yAZJmfU2LwFNx8eD8REd122+1pWUmyrrpkEY7l\nv/ju7/fUEuxPmQOrdjTC6TvPSrY7JPfh+PPFa3X9Tki/dLCtZROl71ILMIzd2jhb3JNAr5eDLKkF\nGdvrq0pmvrDGdR2GWqeVaVYiiGfgWybkNm619F7nXzxBRESrC5rVL8TvQG8Jhr6Qel6h2foy3qem\n9D0/Pa7fGJfD6L6NDQaDwWAwGAyGqwT7CDYYDAaDwWAwbDlc9XCI1LrtMtzipPrBWOYDol9cUFfG\niQU2u5+eV3N6t81uqiCvJv2ShBM0+5AZCsz7QY5dAsWiigdXth/YdLOUeoJjUvfN/Bl2pdYXVacy\n7jZld6hKIBb4xGLrHXX7fvkUn7MWqOvwhpmC3J9erzLCmYqqVSUn+bbLcvO7jAwxGOhOVdb53H7g\n5rRoclpDH8bHuJ3Ckrprw7zXatU67/e5zh959Mtp2bOPP0FERN/8rrfqvUpIS9UpcWBmXIkA66sc\nzJ+L9qVlQZnDLmpAHgrETZ8QaptmhP7I9uXCCEYFA/K+WffpsvdVZLgXfRY5ONi7voM8ZGySshjG\nT77Ebi1XUPfW7DYNhyhJ1qpGXUOU0v4Fx9RkXqiUgXQp7RXk1JXXbrBLuXVMswh2ItTA5G10LXt3\n5ei2KqPhQwcgPGHNk81gqgmlPrC9ssLWor4njHZhP930hLgBUqhsDmYm5OsUgBybusXhWH89dA/j\nWItTIh+Emcl1coHOFZ4UtH+PknSKQqqqr+n75dkXmDC9uqbu3zfQ6KEumdBWljU0oFbkNsS5dkPC\nDnqg/zzwBSDNPTiP8/EYMtaWdkXd77yQVe++U7WDjx9nXecTp1A7WM9dLPOcXiroOy9O+N7KJR2T\n99zBJLhSTbX/CxJGFfd1rugJgTXMQdY60Kj2fakBWQ+7Hei7IwbfTjkIgcD+3vbhDVAWpvFooPFd\n8PEQkD1Q7J9ToL++eye/dycq+p4r5fU8a6tMLOwsA2lc6roJ9eiEtFYpwn1Xed6NI91vY4Xn7Dpo\nGrewb/rwFegzQRp+CiEbXsSgrW3dFLGDK4FZgg0Gg8FgMBgMWw6vgCU4SwJtIBUcERHFkJWn3eQV\nx0pDV4PPneXVwtqiBlFXx3l1sReIHttqnPErgBVMEutKIxErSCNSObSuZJk7dEStkX7V+MKxE2nZ\nM2fYIjANluVShy1H+VgzFyVoQRGrRa+t93OuvIuIiJabSmTYNyP50QOQHktGd42CEmlZ1s4seOsf\nHjszzdJnRaft31lTy0GnJ3UEFrxOxcvbgVWhyJaBt771rWnZW978JiIiipsq1eKD8F/zmtekZQ9+\n5nPp9sKqkGXykElH7jeHcmjeQoJlYhFLUCItzLDmJ6MrfYeWmpS7dJFmTS2FGQbDAcu3z0SEbDkv\nMVdW618sx3ShygKR6ykWtf1ntmtO+kKBrUmVcbUS9bp9uS09UV4sI6U8PF/s7xm9UPwXLUhorc7n\nPQkU7jEcJmuMIsalqpcaIM0ocxlaV53PEobeO/mLspW+CiK0xoF8WSQENrQ8+n4RQGXlveUZKtXL\ndaGkVk8seCWo+2YTMnp6jxR4iIpyfAJkuckat+fkuLbrumTRe+aYWpB8/z+yR6WXRhHnTp8kIs24\nSEREMm76QIZK22nAuq7bfU84BIuhl7lDGTxPLESPZ0E8mIHTue3gbra0o6W3A+PKzx/g/KSKeFpK\nRT1PWeaIEshwlYr8fE3IMliQdwD2GSRghnIhB+S87giP2bz04wFLKBDVvEQajl3/PRWhNV8kAwsO\n65TraGZKPeJV6TPTkJ11rKp1uX2WP7SqC0Aole8xlHGrSXtVYc5ek4y/3WX95lmTY5ptHcNtmEuQ\nKLsZA29iyeCb9NQbGFKRrhSj+5VlMBgMBoPBYDBcJdhHsMFgMBgMBoNhy+Gqh0MosQH9aBCgLS6V\nqKVB/fXTnyYioqePq15sfZldzRMVda0dOcKm+knI7lSSczc76iZZWdBzT82wK7XVV1P7mTNs3t+x\nW9cE49OsP0rdE2nZ7h3s3mkvqTvg/Dpv9zuadYpK24afFZIOtQI21Z+DrHY39zkEpBQi6YNGFuiq\nCFJ3N+iFihsuKzsaZqTZto3rNADX68aGhrwETa6/NCMcESVj3LYNaMNPff4rRER0+x13pmV333sP\n32sZCBWTfI/Fuf1p2YEj2s9WvszEuqCgrqOcXDsXZ8UFYGiDd+WAG8cTFALQqxzhteeAlqgbbrss\ngl9WGMygLvLwfk7CfipjkPVPMkOFQFTzNVmtqGvt0E23pNsFcZsmoB3bFTdhAdqw1eT6h2SFVBCy\nZa6gJE/v9nV5dQkWwK2XuoVRJzhl0Y7wgCWicenH9Y7Ov7miuBJjrSsfToIZpnxIQwey5/n2DEGL\ntg2uTe9KjyAcIq1feAcMhMkI/HujBNkjpySzGOrKtlDDV26jCsfsEF3njbqS22anuc+hXuya6IPP\n1XSiXlziZz11Dsg6I4h2V9oEQgq9UPdAeErPt3WGtjkR5Z0PF8jI9gjj2WupLy9q6MhYlcdLCQht\nc9vkPQhzSgfux4cn9KF/1CTkoQxtmG7DGO+L3uzqqoa6+XmmB8Q3nJq8tn25CMSvgrr7Rw3pWIG6\nL0K4ZCvi58Qp20f9YMipb+4IwsNCCevqQrhMT4ilYaLv2s6Gfuu0JZtqBOEyVSEuz26HTIDyHqzk\ntZ7bMv5eOquhjvWGZBTETJEDzGwuz4EGcSi/o76zDxeZm9B7mIbcAJfD6L6NDQaDwWAwGAyGq4RX\njBiXEMiGQUC9XwUuLGjA9HNn2XJ3/IJ+o+eIVxI336iyNpMibRXC6iGU1eyps5pTvlaC7Wm2BO+Y\n0FXl4X0sh1WpqkU5EMLAzp0q11VNeOX75GmwdjhepU5MqOWoTvp7TPw7rp7yIgNztqPPcrrF931j\nRSVEkmR05VvKQFRLs0ANEFuG11e+L1QqWlc+Y1F9STMN5XO6yqtLlrZ1sLQX87yarM3dkJbdc4Tb\n6YF/+Ie0bOU4S9nd+/qvS8vaYiH55Ge+kJYdOwdkS7EWdHtguhcLWhCj9U+eE0L0E1lB42I2EUuw\ngxX8CCukDbZbep/ZlqOssqxMgamlFMvkMuUqkDAmmVxavKAWhGKO+9mufQfSsh37dTslgkCWqBtE\nbu+lc8fTslWfMgzuoVzh8V4ooSVYrB05LRurjA39js+cZosccZNCrSyWMsi+10/YiljK6Xje6Pi5\nES2gIgkI1kY/p4ExiXowbmJlSaZlqdUX5bXEIlsEq5yXPETL0KRkgZq7cVda9sijX023fWY/MPBS\nqSzWbKdz+4G92+TcaumeELLc0WfU0v35J3hO2jF5cYLOKMBLkTm0jkldIgks8oRHzKgH76U00+kA\n+VGk6uCYjliez51TqdAbdvP8220rOakonpjtc+oZXYfsZoUi3+Ngdlfuc8UiECLleq0N/UYoOLYY\nr6/pu90T4jpAEAxAGs/JN0gBiHPlEZ6MvQU4N0DChQx/kVjS4XvKc7IHiWNeChK+p8Ti3gYr/GqD\n2y7X13dtFWRaX7jAVvf5Da3faoXJchNITBay7fl59RTMC5my3tD2TwUEoI3w25Akg2+Qh34tZMF8\noG04NcVz9VhVz7NrFrzxl8GIT9sGg8FgMBgMBsPLD/sINhgMBoPBYDBsOVz1cIg0DGBA305N3vNr\nbI5/8IQGMh9fPkxERPUNdbcc2c/urIlJcE3KX6SjeE9fu6NuufVYTf4ba2zyr4yruXzHAc5yU61o\neEL9maf4GkV1o/WnOXPNhdYLaVl+jM99eEb19hbX9FlPL7AbNokxuxnf+UJdteyO1/m59k0oia+Y\nQUwaFSAxLkwzfUGAewZZLs0YF2PQPpc5QgKHhoHkxS3WCbSuNtbZBba6pKQIJ7qHd9+8Iy07+sUv\nEhHRqQc/m5blRBdx6ahmBMPscXvv4L4wvUP7gteiHeD4+RAQ9CbKNrpwXRj5jbQMNUtHDehu04GV\nIQ5L2cS4rHCILPhDkIhXqvEYKBTUNe/JLK952zemZWFe+4KfSqa2qYv82NPP834ROgWF7AWav4Wy\nXK8MJLgJDslYW9C+NQski5SsAhXhs2mNciZAIiUOYcTLbE3aCzIyvjDPz9PvgZs1Q/85SjVkQcc0\nI9sYEq28OzMHWr4+HALr1F8mAjLUwiJnoiqX9NhaRd2woeO5/chh1ZEeH+P2XjqvZLq7buaMg9j3\nlhoSthfq++XgHp4rXnPTlZNsrgUWl8V9DW7ljoQYtBuQOVXaIxgYmqjdzeMK2yEnhFQHeuitZkOu\nq9qwayu8vQJEtb6ce3ZW63R2TsngVdGTfe755/W+ZcxiBsh+n+dn9JRTzONwAbLkdX2GQvi+GNAJ\nlvrpw/tnranEr1FDICFISBzFwJxQwhu6XRinm/4S6TdYvqRHj5WEyAgazq0W1/NT5zU8sBLquRc3\nuC81Qci92fZMPC3zmQDnlzVUZXmdw1kDCM/JeS1+aI9OR6/ns8cFbX3+WoXnit07tR/t38VzwNy0\nzuO5vOkEGwwGg8FgMBgMF8UrJpGGGeG8BA8R0enzHPR+fklXbBtrvCKZquox29MvfwiilkD3Abua\nNzyjNAyQXFoJW3a7YwfTskbERJykrgHhG0Ky6JOSdM4v8gr43JKurgsizxZAsP2ObboKqW/wCnl5\nDawcQipLIDtKu1+W6+qjlKpXvXn+0SgAiSUlP2JWQNlGi7Evy4WQJUxWkAVcuHUgeD7HVpgESGlR\nTwg5fa2svOO6qgCpbs+dbBF66ehpPffpF4mIaDKn1t/KLZopcHqKA/2DyxDAotgTdzADmTwfWizk\nvhJSMkE/Gl3CY6Yx8yIWzjT7F1jULmUNHSCTZUnnCWEyD/JIt937OiIiuuHAkbSs09R292Po0C13\npGXHnj5KREoEIiJaW+Z7LAP51Ukfzo+pF6ci7d89C9aQmloYUmIcWMuCeHQt+4jVtpcbVObYvlne\nDnSKpPkNLltpIJmZj0VLju8XA1wWzA4ndYRyTX4+CMES7PtFPNAnhMQH5/N95qVza7Cfnqcqc/HK\nst7Q6VNMbrvnJvUQTdS43TcaOibPLfGcUypr3dx9C3sXdkyNNjFuXchGCTIUxepZKCExTCyL8N6J\nwILnM+2hJdV7bftwTEdk8J57/tm07OYDbF2v1vR9eeTAXrkVrdMuvJe9Z+Keu25Ly1ZX2JK8uKBW\nxJa8i5EEt7LOz7y0ou/sKPYSaeoF7nZ0rvB9bm1d5fKeaI2wJTgn71hooy5YTSO/iZ64jHex/31m\nWlPrjlX43AVoG9/sA1n94GXmM0giSbKRUX/VDveBjaZ6XyL5/suhtKp/d0JWVQeyjEE7I+OkfGeV\nt6sleGKKrzc1ppNY3135mDVLsMFgMBgMBoNhy8E+gg0Gg8FgMBgMWw6vADFOQhaAnLYIPv8XLrAp\nfHFVf++ssb7cDTcq6cETKdDxmCTDJBwf/B/2IZNQX83y+Ul20cQ5DdZ/6STrzpYhZMMJke3CS6p1\nd+yJJ/jYDdCsLXIWo3xF3UA9CF/fs5ufodFRF143vW91x2108vJX1yU7xkaXaFPIyLSDxDjNJhUO\nlcUQ2tAUl0mxq0SIvNN2KIXcL/KQ5ScQckWnq26tZkuy50RapxNj7MbuHtmXli1U2WUy11PXUBIP\nu2HRxR9nuLvzlIe9fVkg9wDEPzk2irW+wmB03ecDIQuXIXxlEeO03pBg51lVeOzw+bz2dHVCx/2h\nWzkDYAcykTmYS/oRx9HsvfHGtOw93/P9RER06tTJtOxDv/MrRERUhH5UnuAwiIltSpL1XRM1VwuQ\nrTBIfJ2gnvL1YUsI5Tl27VKi1979PJZy4JI8sch1vdHRRur1h/uChkERlA1rAjuIl4ik7fIQkhEE\nWf2LT9pqQrsHfn9tj0nRliYiajd5DqlDuMyuab7ObYfUVdoQYu1LFyAjnozPsXENl9k7K/27N7ou\ncyKi9UV+f41XNaYsJ67rTqyu7ZwnIUMoCsqh+9CIBAjZ3mUd9XVeDSWDVxOy9a1JqELcgvd8zKS1\nw7e+Vu91Q/tCXvpjsaz3vfgSh6tVgWzZE01YT2onIurIeyOAbIUVIdY2gQzYbMJ7RfochuwsNUc3\nNG3y4B4iImouKtkwaun9lh0/Ty6nz5OXcCXMzFcQkhjmQQglS2YPyK8a8gJEO8wol2pK61zh353t\njtZ51OdO1e3qvaYEcsiIiyGy6X44reZ8Vjv4rpC+kkyCvrxofOcxQ12o25fD9TF7GwwGg8FgMBgM\nLyOuuiW4J/ImUU9X53FTs4OFIknTbUGWkjFeLYxNgRyarHDA0ECxfMMnaGmQ1UwxVMvbxKxaPiZn\n2AJYACZWp833uNrWe+zL/XaAxFTJ8+oqbihpJm7yqifYtj8tQyvX3Da+XhMWPSfO8Ln7kVoiVupc\ntl5Rq0NvcnTzmqMlxyOLIIWWYG8KjPt6bH2DV/Qz47AiBatfbje3U0CQcU14U66pBKpey0utgQVP\nLPK9nloDumIpLhZ0pZhl3coqQ2k//6yDXgi5Z7B0e+JWwQ0TCUcRg3JnmXukW74OsN19Fi6XYR1F\ngpQSy4DoIdn1Jiam07LmMstinYM6275zd7o9LpbdMKf1e+QOth6HFbX+ze1mqwrK8YzNsBW0Oq7z\nzMIFJrIWSzo/FPKY7U+sg/hgXhaORhtzu1j2b/seJQLu2M7WoXZD598b5/hJFjYgg1vE81y7M0xU\nQ6IMbqfkUvSqeGlB7EcZfSWSdkIPYprhDQm4OPeLxahQ0PPddpC9CmEMXrcN9iDV22pNqtW4jQ/u\nAu9jzHNT1BtdjxwR0foCeyt3j2s/LSc8511ogiVYrKZjNbUILqKMoJB4Y7AO9gI+3lv3iJTAOFEF\nuUGRu5qb0XP7zGOrp1UCLSjomIykPZ8++VxaNj3Bv3dBtrAV87txwOMgbY0fMP5JcJ5GL55/5zun\nR+G+o4YdN7DXujCp82FS1+8D7/2MIu3vFZkPkfAWeikyGIc5qfsGeE7X1rm9On2w9ML7Oxa5QnzH\n+lPnQCvUZ/iLezAX5IezhpIb9qqhUygMh72ygUikRVDWl4yfKyC40C1e+Zg1S7DBYDAYDAaDYcvB\nPoINBoPBYDAYDFsOVz8cQkzj/Y6SmPJrX02315ZZozXpKnFseoeY9Atq0veuVCRV+dCIGMzpPXFv\nVMEdUCpDOMQkhydUZpRQ0ZeMK6gp2Bf3TxCrK6K/IJmokAgU8TEBBHlHoFGXF5P+DGSUmxeXa6uv\nrqEp4uefyWkWHqI9NKooFtVd7F3EPrsXliF8GXjWqNlgl2N+pxLVgr7qBPfaPuOanq++xoSLBNqr\n4Dqym/aFbsR9AMkfBe8+D4b1i4myXfya6W6Y0JYMsoL4WSIMGZA6CYbDCEYRWRm/aCCT1zDxaSBD\nnq8/Nxwak1V/CL9fEcIYHn34IT4fHHv4llvT7dd/w7uJiKg6oeOrKw2O2qZves93EhHR5/7mj3W/\nDSbzhDOaHbAh7sbqmIZIDIb0CBJ8vnTrYo82ErjpIId/7IQwq4royK5e0PlZEj5RDUiEa00f5qLh\nYbGEIkQQslCp6Lw7PcF12KjrMV0Z/HiMh89yRkTUkbGNhJu8aIR2YH5dhuySOSFTzU5rX8jLOyQP\n85UPsZgo69idEy3gPHT/IODnD66cY3NNEEsdFOGdl5MMiT0MLRPiXI60zpK2bodCLHIwB2g20GGy\n3MysarV6cluhpGN3oszv2NMnlKA6DqTX5RV+54Uwtis7mMS8uqwhbLmckF/36fvw6FEOocD5KqvP\n9CHjYFaIlsskZY4GipKZbdLBu7YKc1GP6+/00vm0aEnmvMN7NYPmPQcPERFRH4hqeXlXH1vUOVIi\nz6gNxEEMtehLmEQXXqh5T16DYzyRLYHUhBENh4x5TiOGVyQYJiV9DzOselJjH8KgLvT5mOqEEuBL\nEE5zOYzu29hgMBgMBoPBYLhKsI9gg8FgMBgMBsOWw9UPhxCG4DowcT+3+Jp0+6V1NmuHiZr0p6dY\ntzMH+pzek9HHtIHpj3A9cXWFoHUXQ3rdXovdfrlQTef5EruRMJ1oTtiMG/On4Vh2P8QDFEZ2VUS5\nbJ+Zy/GNFyG0o1rhe2ytQVrBCrtk5+MDadnuEV6iVKvq9spSO8hST1DFCHVvhOLCLI1tT8tmZ8EN\nu85tt7iqddWXkJed0xrSkhvjdgBiM3WXxb0aaz+qSLrIENxoeI+qa433KK7SDEUMROIvDrsVRaEC\nU5G6EQ6HGMSl0yJrOEQwVJaFILPOMZSC66oPCgRr55j5XgI1jxePHk23D91+NxER1aY0nMa7u3OQ\ngnN2ivtKrayM9o64TVFhoF7nUJztO3bCfYPWtXfrZfTrZMTDIV51K4+x5spiWtaX/tkCRnhHNIGL\n8HbwbPJwIG0y/0Gt1gOHND3x1Di32TNPn03LKtKOEYxJf55uR921bdGgjTNcoa1Yw6VKoOKxbTs/\nX4DauP49APNCEku/JWXadxpc1ihDqEhRUkq70U1fT0SUE93Wcknv3ethF1b13Tcmag6ojFSINewg\naLE/vB+qwsPwKFVd57FxDW0ol/j93mlrSMuipCcuQ4hELqfjL+iz/m2hqmP73DzfQ7GmIYyuwH2u\nAOnUQwmNwfuKpH9gWCOOU02/q0fF8ehquqw3pZ+DtFQNNJUXljmcax3SQHck/GOmoO/GtxzkZzyz\nqG1zbIXPOQ1170c2hp51IMzTD/0B9SOvnARzaF/mjzAPreOVIAiP5b8xBkkMiEf4uRbUKiTUIoRP\n1w0JGylBn/la7LvXy9vYYDAYDAaDwWB42XDVl7hd0W5b6OhX+nykl21scID7WEVXsaUKryrdAOFN\nspDEaInyZA2w5MmioQ9Wpy7oxNYXjhMR0eyeQ2lZQYhzDix9fckyt37hVFrWarHlAKUVkzG2QIWQ\nQS3ELCsSRO4gy1FZMpyEy6AJTLwiW+1C5rlIV7SjhqyMcVkEsywrMRKNPPkxALNTJ1BSUpLn1ev4\nnFoBckIACcC67qkQGw21Ai3XxRIB1j9PVEN9yMtpAl9KSxKfL5FnzsHa0hu9XV6fOUhG12I4aPXy\nOo5aMmAJTq2i8HswvOL350GLql9/DxILue3yebV2dFtsDYnBujM+Af1DrtNqQFZIYTdNTKqlqrHK\nFqa5fbekZeeOPUlERH3IrtTt8D2MITEuyCDG4dNlWLVHEWXJqNVYVa9bt8X1VpnUrHntomQJm4cs\nUEKmwuby9dIDUsyJ45phc3mCx10MfaYoVshioGNyY53buAvEOG/1DXNohWdUKnrs2+9/S7o9JYS4\n5ZNKvJ6e4ndJQ0iQRERl0RGOB/Rk+W+hpFbQQp4tmGcvaN+6l0YPObHMIlm5UOZ7r1S0Tud2MLGs\n09GySlEJ6UnEz9mNYa4KeQzFGeSl5UWt08lp9u4WgXQ3U+P7OXdSdfUXjr2Ubu84wu/gnTuVyHh2\nnr0UvYK2Q7nA/fa5Z55Jy7xmbRfIr52uJ2rinILfCzy39fujmyUOsdHl74MTx0+kZbvGlIy4IZkR\nN1o6N+YL/IylAAiBko310WfUq/3CAteBJ48T6bdaETzdEQgl1VsAACAASURBVGRr82O/Bt6XtZZv\nB2Cfe8Kbw3lTyNHQND775gBbDiaYWI6BWyDvsEKPQ7PChS+t6I65y8zZCLMEGwwGg8FgMBi2HOwj\n2GAwGAwGg8Gw5XDVwyGaYmI/tayutXoL7Ns9doVVppU459M79ntq8m5IKAKa2HNCRkN92ry4pLtg\nd2+1lUixscZu0eaakkPCArvXglBdA+06B+23ls/oeZrsXm/mNdDfze6XDdDTA21CT8BChVTvWsrD\nfXeaXD9hVfd0I7xGwXCIS4ULoPs8Ep9jDsJOquKizefU/RU4de+ENSGWgae5Ke6fDXDHdVpCaINY\nlSTk/oGSgYncA7rh+33UkhzWPO52h91nPtwDn8+nE3Xgoks9PnD/eXflrppXGpkaxhBuNBAakTqo\nh0MksnSi0e+V9bMnqGFo0dze/URE1JRwBiKiye1KosyXuI0xvW4sYUT5QN12Z068QERETz/6Kb2g\nEGaLMzekRT7UplzWsKTL6Tr7vjS6FBuGJwGNb9Pn7SU87ipFDR2Zf5Hd1wtrj6RlobhIE9R69v0i\np2VtCOHqzkt4C2gqN3P8e02n0FTfFck1gRBmBzWa5f4hzfW+fXvT7Y01du2Xi5CiXEhylYJ2uPkz\n54ho0MXfFNdynGifeWmB7+f4WQ0Z+DYaPfi2qUwoGaoyy8Tvsa7OtbN7DxMR0cJ5JSqWiqpL7z3a\n0YYSrajHDVWASdST7tZaOi+WhZRUgrCvub3cNhMHNXzl6MOfTrff+G2s3X362Sf0WRpc57maPsvs\nDJMt6xv6Hl9Z5PfzJDzzmrTrwGQL7+VGg8MCBsL2RjiCaXo7hyg117X/vXBMwzOLMr/lYIx4zfaN\nprbNpx7nb5gXL2hY6PEF3m5AauOK6EQXQn339aEuvX7wKpzbv9MT/MCRKsc5Pqbh/WJ5Dw7MrrBD\nVop6rwWODbfU4vZ86jntZ70+7/dLdHmM7leWwWAwGAwGg8FwlXDVLcFLa7x6W6urZaUOEj0kK/VS\nFUhwKQlGV2xFWQ8MkCekrAArobKsUmOQZKvXlayxtsiB+QvnTqRl3ZBXuwFYvNYuvEhERBcuaCD/\n2jKvkNt5tZoUahzU3wWrdbOhK9ZimS0tGDgeS6S3C9ViUSuIlbSvFnN39ZvnH40suSu02mRmjJNV\n3vgOJeHcdIAl4cYr2l7NplonOvNM4llZ0XpZa3qiFUrayao4N5zdrD+QzSYauv/L3nfGecI0mw1Y\nFfz+GZnzBrhwGOk/YsgiCQ6Q3FAaLBi2+uo2ltFQWSp7A+drN9k68fTRp9OyKOF+ceTg4bRscodm\nQ+p0eVw1GmotGRNprsY6WD4e/xwREfVaSkbti0TaC489nJblp9lKinJ4WRJxKKHnH2GEjUpERJTM\ncaa9UlFJyiWZ++qQZav+FFuOukCg8h4W9HJVx7ls/80qT7cBY6Rxnusw19S6Wou9LJ2WRXJONLiX\nRAoKJaw8gRHfAS8+r2SpqM3tfcd+fb6dNZHEjLU95+VZnn5xNS2blFMuNfU9tSSSYW97zU00yvBS\ngIWqvpdiebfki2odGxeZwCZkiatDtrF6nesjn9M2DIRUlS8qISttJ/Cc1utMqpsEy3xYFVnCkt7X\n3C336H0LIb22XT0TU9LePaft4KfLIkhrzs7yucdrut/kJL9rJ6ZUZhTJ9X3xOqPk1vnzStobNQQi\nrzq3SzPlNdf12yIn0mkJfFv05Jvpi6dW0rLjSzK2oS7KYtmfAQ/8hUXu7+j5RA+stzKjTK1nuqE4\nQSLvhT7UsyaPg3eAHBvDuB9IKur8e1538B7oBL4NYzlBBF7gXnLl9l2zBBsMBoPBYDAYthzsI9hg\nMBgMBoPBsOVw1f3t5xvsrlhuAwlhRcMTQgkjCAv6PR7JrhXIEJPPcWG/p6b/Ztdv67k9qSasqPZg\nYwnccXUhwyyoG6QZckB9rwcu9zNMpFldVpJAvc1uojivLphOm91APXAhVCBoe31Njgft04IQN0pF\nve87Jzj8otBXd20UadjAqAFdFFnEIe82Rrfynm1MaDpw5Oa0rFJkV159Q93ZXWhjr+m4vqyuy6Jk\nl3PhZTK4ZWgUe8LbxchOafgC6hWKjwafJQ3av0T4BALd56gZPGoYvPdLU728W3FQD9K7xy7eJ/jY\nYY3Idp1dr4dvfVVatibEnhvvPJiW9bpal/VIXMGkZKlIUvZVa9pe5YInYaA7js8T9HTMjZeFkIVZ\n4gZCf/yzYP/f9Ewjii+cO0ZERLsK6gJNFtm9erqj7tNz66wnGrlhrexKWet+1+3s5t53s9b98VNa\nby2ZO/uQ4S3sS6avrtZfnPYjbZvxCs+XnUDngsYy7xdH2l4vPvNouj05xi7yiZuVdddu8Pyxsq4h\nFKvrknUqr+FoZ87xPbqKzjP33sM6tlNjw5roo4SxaX5PFGsallKX95EnehIRVascLpAr6DNWqho6\n0mxwe+VRx12aqQPhfpWJaSIiCgra7ufO8zt9dk7fWYurQnqv6GfGxJiGRiws8JzfjmD+kFCdyaqe\nOxaS+uy0Pt+FeSZFT0DGs/J+DpPqJ3q9vbs1jKMjYTQ49+/fq6EGo4bWBn9bYEbOqZ2akbF+hr9h\nukBk9K+ZlaaOpU6Pz1Mral/YJu00UVVC+vySbw8gikNdpfrLyDsUolowECYnGvAD6d+GDtUwOZw3\nB4i38jeE+Tf0QgNaVhIiXy3U+86FFg5hMBgMBoPBYDBcFFfdEpxLLaBAYqrNpdvROq9Soh6sOCJ/\nrB5TkCxGWBbkJYsRnDuQVWwBCAEEkmbrTV4tbJxW6bNyg48vFIC8N8+r5da6ZgvqO7EI5FHOi++r\nVFLrChKjSCwnPdLVbifh7ekJtTzvrfH1VleHV1SjiMuRyfzvu3criWn7DrYgxF21RJxd4Po9e1bb\nYwayw5WKbBHI5XW167NIOZBy8Va9AUm2DBJcug37FTIkZpAEl8qhIUFK/g5YeC9hRUZJudG2GGJm\nKE+Mu5jV31vDg81FdDkrsgeSnCLxALzhXV+flp3d4LY5vEfH13gNJJcW+IJfWtE2vOUw71uE29pz\nkMlNzx19Um81tU7ovdbnxQp6WDPLFWBsZyf7GybLjSLqYhGqAnm0XmfrT2dMras77+bnff6rWoEX\nVvj3XWqMo9tFXq3eUi/XxIR6xJZD3u7lwVMnLKcajAFvg0aLV7nG28WyjvHmKo/nXdv1etvmdFxV\nhLAMfD5a2ZAMWiW1eN44xdshWKifOcb1MN/WfrR7L8uM7bv9PhpljM+xNTOB91K3wZbSAsjFeU9W\nt63vnThWS7u39KE8ZE7m2B6QvVuyvdHU8zx37AQREe3dpZbg2gR3lnHIvji2c2e6vdHk/lhf0XNX\nyrxvNQSJU5K5GLKu+meYGNe5wGdETKAfVav6+7nzfEw30j46O633NmroyFgpAHNsDCy3a44twXGk\ndRWIFzp0OhfFMmm1utrWfvitbgBR2JPc4H2I8qee0J+HLI6xWFwdTIyicEtdsCinHDkg0KU3AUQ7\nJGHH8iyeIEhEVBnnuWlAOVEyAU6O6zzdc0W6UozuV5bBYDAYDAaDwXCVYB/BBoPBYDAYDIYth6se\nDnHjdg5FWFpVItrZrmYVSgpMZqiDWX5yik3+YV5vz7vAMRzCl/VRaE4ILUGkxxbHNatMIrqH82dO\np2UL59g9UiurCX2yz1rGc1NKsOvn+PdKRV38oWgzOiDDoY5eIBnzOk195n6Pf98+rZmvVsWt0IxO\npGV5CM8YNWA4RJZO8Ji4wGo1dTeti2Z0va76rfU6u6jQBTegDSqZwArFIpTJ7+DvzkXeLaPH5sSN\nEoMLxmd1iyFwPgR3kncJxnDuQNzcEege5sVtEybDJLesEInLZR0bFQRICJNnDC6S4c4TmhLIh+gS\nT4pQZGePY3RBn3bnXia/zc1Mp2WnOxJykdMzrkPGyY9/kd2+b7hb3bB5PxbhuntveTX/9rG/Tsta\nG94Rr/utSTatpz7/UFp269e9Od0uVnx/Hg73GPU2DgMed4Wzeu+3HBQt30V1mz+3zPEEk3s1jGz+\nDM/PZxfVxflYgd3ZxVDrb7mv83NxiuuqBO7nuCs6wWvap4p1GdvQzZIJrsu8Xo5KQmTLd3VebJ3X\neWH2CIc5TExpuN32OSZGxUCWWlzh+260NCyrtJPn9Fpb3eePPCv7lTQz5R0jGBnRjCXko6bvqniZ\n318FeF+2O9wOG2tKgnQJuLvTkLIMQjGU1df5+GJZ6+rhzx8nIqK5GY2Xmd7GdXry5PNpWbmsfcpn\neSyV9B6nquzS7jWVKF1fZ/3a+XOaLS2RY6uQerAs262ePtPiqoYzxpJhrdmG7JKti2c7veaQ+avb\nR8KX/pwLfFZFB7/zDjUIg/Fk4CaEQ5wWfeRSUcfSmJAMQwiXWt/Qd7UPkyhCeFgh7+9B27An33cJ\nJFrtSpsMkOX8u/gimURTcn2I3wbyTPCtUZHvxLCkz9z9Gj5tR3vWNhgMBoPBYDAYrgKuuiU46PIK\ncVdBV59fre5Ot9ttJjy1OrBiSxcGII0h27kBQpb8xewgEhQf94BQARIi45INJ+qBZVYy6ayBJWes\nxavOBDJMNbpiiZhTmZdciVeXEVj/cng/fvHV0yVOt8mrpvw0yMWssQVqBlbFhQKQ+0YMA1YvqXOX\n05VYo8P1fOq0Wtz9yg+D7UslvxJFa6HWQSxkiARkxfp9yS/vtH58ZpskAVaM3GI/AEtlSq7QayQB\nSEHF4dDtxCJbF/aQgCDPnLFyRcsnWrjT840wgWow+5sQEC+SCy2QCk4ysshlkQMzLcJAdjl0O0uj\nobzNSTYC0c3btb0e+apKLAYRexe+7iB4TWQC6XZ0jFdEmqlQHPauoCU7luxLi6dfTMvOguzTwTte\nO/Qso010VOQqXIfPgoftQkNko7pALm5IJq+92g7jz/IYaK6reedCk+tqu07ttPsmtcxNicFoW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52v5diXa9SP3+OYAzXO4Fjx1tA/Lp/SL/dhPv+wTIdwkAfh5EQc1wP/l7AD/Gv0W5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aRrcdKPSZhrPVE4aFfCsriEkUVA2z8m5NckjPEMjMlMhrezIxoemUjws3RKGlbT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\nMedc2jm33zn3lHPul15t21wqDEi/3uyc+7Jz7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H1DIuN76kxE1KhxP9WX9BkaRTAWRnnt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Wvazrfe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\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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(10,10))\n", "for i in range(36):\n", " # Randomly selects one image from our test set (same used for error calculation)\n", " idx = numpy.random.randint(0,len(testing_set))\n", " X = testing_set[idx][-1].reshape(1,testing_set[idx][-1].shape[0])/255.0 # /255.0=>normalisation!\n", "\n", " # [1.,0.]=>Dog\n", " # [0.,1.]=>Cat\n", " pred = model.predict(X)\n", " if pred[0,0]>pred[0,1]:\n", " title = \"Dog! [{:.3f},{:.3f}]\".format(pred[0,0],pred[0,1])\n", " else:\n", " title = \"Cat! [{:.3f},{:.3f}]\".format(pred[0,0],pred[0,1])\n", "\n", " # Visualization\n", " # But remember, the network 'eats' images reshaped as 1D vectors\n", " img = testing_set[idx][-1].reshape((32,32,3))\n", " plt.subplot2grid((6,6),(i/6,i%6))\n", " plt.imshow(img,interpolation='none')\n", " plt.title(title, fontdict={'fontsize': 8})\n", " plt.axis('off')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "## Loading an image from a URL" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "def get_img_from_url(url):\n", " # http://stackoverflow.com/a/7391991\n", " file = cStringIO.StringIO(urllib.urlopen(url).read())\n", " return scipy.misc.imread(file)" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "dog_url = \"https://cdn.pixabay.com/photo/2016/02/19/15/46/dog-1210559_960_720.jpg\"\n", "cat_url = \"https://cdn.pixabay.com/photo/2014/03/29/09/17/cat-300572_960_720.jpg\"" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Dog! [0.999576866627,0.000423109595431]\n" ] }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "image = get_img_from_url(dog_url)\n", "\n", "X = scipy.misc.imresize(image,(32,32)).flatten()/255.0 # /255.0=>normalisation!\n", "\n", "# [1.,0.]=>Dog\n", "# [0.,1.]=>Cat\n", "pred = model.predict(X.reshape((1,X.shape[0])))\n", "if pred[0,0]>pred[0,1]:\n", " print(\"Dog! [{},{}]\".format(pred[0,0],pred[0,1]))\n", "else:\n", " print(\"Cat! [{},{}]\".format(pred[0,0],pred[0,1]))\n", " \n", "img = X.reshape((32,32,3))\n", "plt.imshow(img,interpolation='none')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cat! [0.164391964674,0.835608005524]\n" ] }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "image = get_img_from_url(cat_url)\n", "\n", "X = scipy.misc.imresize(image,(32,32)).flatten()/255.0 # /255.0=>normalisation!\n", "\n", "# [1.,0.]=>Dog\n", "# [0.,1.]=>Cat\n", "pred = model.predict(X.reshape((1,X.shape[0])))\n", "if pred[0,0]>pred[0,1]:\n", " print(\"Dog! [{},{}]\".format(pred[0,0],pred[0,1]))\n", "else:\n", " print(\"Cat! [{},{}]\".format(pred[0,0],pred[0,1]))\n", " \n", "img = X.reshape((32,32,3))\n", "plt.imshow(img,interpolation='none')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.12" } }, "nbformat": 4, "nbformat_minor": 0 }