Created
November 18, 2018 08:24
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Partial Dependence Plots
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| { | |
| "cells": [ | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "import pandas as pd\nfrom sklearn.datasets import load_breast_cancer\nfrom sklearn.tree import DecisionTreeClassifier\nfrom sklearn.model_selection import train_test_split\n \nbreast_cancer = load_breast_cancer()\nX = pd.DataFrame(breast_cancer[\"data\"], \n columns = breast_cancer[\"feature_names\"])\ny = pd.Series(breast_cancer[\"target\"])\n \nhyperparameters = {\"criterion\": 'gini', \n \"max_depth\": 5, \n \"min_samples_leaf\": 1, \n \"min_samples_split\": 2, \n \"random_state\": 42}\n \nestimator_tree = DecisionTreeClassifier(random_state = hyperparameters[\"random_state\"], \n criterion = hyperparameters[\"criterion\"], \n max_depth = hyperparameters[\"max_depth\"], \n min_samples_leaf = hyperparameters[\"min_samples_leaf\"], \n min_samples_split = hyperparameters[\"min_samples_split\"])\n\n\nX_train, X_test, y_train, y_test = train_test_split(X, y, \n test_size = 0.25, \n random_state = 42)\nestimator_tree.fit(X = X_train, y = y_train)", | |
| "execution_count": 26, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "execution_count": 26, | |
| "data": { | |
| "text/plain": "DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=5,\n max_features=None, max_leaf_nodes=None,\n min_impurity_decrease=0.0, min_impurity_split=None,\n min_samples_leaf=1, min_samples_split=2,\n min_weight_fraction_leaf=0.0, presort=False, random_state=42,\n splitter='best')" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "import eli5\nweights = eli5.explain_weights(estimator_tree, feature_names = list(X_test.columns))\nweights", | |
| "execution_count": 27, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "execution_count": 27, | |
| "data": { | |
| "text/plain": "Explanation(estimator=\"DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=5,\\n max_features=None, max_leaf_nodes=None,\\n min_impurity_decrease=0.0, min_impurity_split=None,\\n min_samples_leaf=1, min_samples_split=2,\\n min_weight_fraction_leaf=0.0, presort=False, random_state=42,\\n splitter='best')\", description='\\nDecision tree feature importances; values are numbers 0 <= x <= 1;\\nall values sum to 1.\\n', error=None, method='decision tree', is_regression=False, targets=None, feature_importances=FeatureImportances(importances=[FeatureWeight(feature='mean concave points', weight=0.7089836540563571, std=None, value=None), FeatureWeight(feature='worst texture', weight=0.11765325210319741, std=None, value=None), FeatureWeight(feature='worst radius', weight=0.06009867409272012, std=None, value=None), FeatureWeight(feature='worst area', weight=0.03516760107135619, std=None, value=None), FeatureWeight(feature='worst perimeter', weight=0.029283032078587498, std=None, value=None), FeatureWeight(feature='concave points error', weight=0.017344565154240286, std=None, value=None), FeatureWeight(feature='area error', weight=0.013011358413075377, std=None, value=None), FeatureWeight(feature='worst smoothness', weight=0.01004142718471842, std=None, value=None), FeatureWeight(feature='texture error', weight=0.0068327074850037485, std=None, value=None), FeatureWeight(feature='smoothness error', weight=0.0015837283607436526, std=None, value=None), FeatureWeight(feature='mean area', weight=0.0, std=None, value=None), FeatureWeight(feature='mean smoothness', weight=0.0, std=None, value=None), FeatureWeight(feature='mean compactness', weight=0.0, std=None, value=None), FeatureWeight(feature='mean texture', weight=0.0, std=None, value=None), FeatureWeight(feature='mean symmetry', weight=0.0, std=None, value=None), FeatureWeight(feature='mean fractal dimension', weight=0.0, std=None, value=None), FeatureWeight(feature='radius error', weight=0.0, std=None, value=None), FeatureWeight(feature='mean radius', weight=0.0, std=None, value=None), FeatureWeight(feature='mean perimeter', weight=0.0, std=None, value=None), FeatureWeight(feature='mean concavity', weight=0.0, std=None, value=None)], remaining=10), decision_tree=TreeInfo(criterion='gini', tree=NodeInfo(id=0, is_leaf=False, value=[158.0, 268.0], value_ratio=[0.37089201877934275, 0.6291079812206573], impurity=0.46666225837025277, samples=426, sample_ratio=1.0, feature_name='mean concave points', feature_id=7, threshold=0.05127999931573868, left=NodeInfo(id=1, is_leaf=False, value=[16.0, 251.0], value_ratio=[0.0599250936329588, 0.9400749063670412], impurity=0.11266815357207982, samples=267, sample_ratio=0.6267605633802817, feature_name='worst radius', feature_id=20, threshold=16.829999923706055, left=NodeInfo(id=2, is_leaf=False, value=[5.0, 244.0], value_ratio=[0.020080321285140562, 0.9799196787148594], impurity=0.03935420396445222, samples=249, sample_ratio=0.5845070422535211, feature_name='area error', feature_id=13, threshold=48.70000076293945, left=NodeInfo(id=3, is_leaf=False, value=[3.0, 243.0], value_ratio=[0.012195121951219513, 0.9878048780487805], impurity=0.024092801903628835, samples=246, sample_ratio=0.5774647887323944, feature_name='worst smoothness', feature_id=24, threshold=0.17765000462532043, left=NodeInfo(id=4, is_leaf=False, value=[2.0, 243.0], value_ratio=[0.00816326530612245, 0.9918367346938776], impurity=0.016193252811328662, samples=245, sample_ratio=0.5751173708920188, feature_name='smoothness error', feature_id=14, threshold=0.003309000050649047, left=NodeInfo(id=5, is_leaf=True, value=[1.0, 5.0], value_ratio=[0.16666666666666666, 0.8333333333333334], impurity=0.2777777777777778, samples=6, sample_ratio=0.014084507042253521, feature_name=None, feature_id=None, threshold=None, left=None, right=None), right=NodeInfo(id=6, is_leaf=True, value=[1.0, 238.0], value_ratio=[0.0041841004184100415, 0.99581589958159], impurity=0.00833318744419742, samples=239, sample_ratio=0.5610328638497653, feature_name=None, feature_id=None, threshold=None, left=None, right=None)), right=NodeInfo(id=7, is_leaf=True, value=[1.0, 0.0], value_ratio=[1.0, 0.0], impurity=0.0, samples=1, sample_ratio=0.002347417840375587, feature_name=None, feature_id=None, threshold=None, left=None, right=None)), right=NodeInfo(id=8, is_leaf=False, value=[2.0, 1.0], value_ratio=[0.6666666666666666, 0.3333333333333333], impurity=0.4444444444444444, samples=3, sample_ratio=0.007042253521126761, feature_name='texture error', feature_id=11, threshold=1.9265000820159912, left=NodeInfo(id=9, is_leaf=True, value=[0.0, 1.0], value_ratio=[0.0, 1.0], impurity=0.0, samples=1, sample_ratio=0.002347417840375587, feature_name=None, feature_id=None, threshold=None, left=None, right=None), right=NodeInfo(id=10, is_leaf=True, value=[2.0, 0.0], value_ratio=[1.0, 0.0], impurity=0.0, samples=2, sample_ratio=0.004694835680751174, feature_name=None, feature_id=None, threshold=None, left=None, right=None))), right=NodeInfo(id=11, is_leaf=False, value=[11.0, 7.0], value_ratio=[0.6111111111111112, 0.3888888888888889], impurity=0.47530864197530864, samples=18, sample_ratio=0.04225352112676056, feature_name='worst texture', feature_id=21, threshold=19.90999984741211, left=NodeInfo(id=12, is_leaf=True, value=[0.0, 5.0], value_ratio=[0.0, 1.0], impurity=0.0, samples=5, sample_ratio=0.011737089201877934, feature_name=None, feature_id=None, threshold=None, left=None, right=None), right=NodeInfo(id=13, is_leaf=False, value=[11.0, 2.0], value_ratio=[0.8461538461538461, 0.15384615384615385], impurity=0.2603550295857988, samples=13, sample_ratio=0.03051643192488263, feature_name='concave points error', feature_id=17, threshold=0.010125500150024891, left=NodeInfo(id=14, is_leaf=True, value=[11.0, 0.0], value_ratio=[1.0, 0.0], impurity=0.0, samples=11, sample_ratio=0.025821596244131457, feature_name=None, feature_id=None, threshold=None, left=None, right=None), right=NodeInfo(id=15, is_leaf=True, value=[0.0, 2.0], value_ratio=[0.0, 1.0], impurity=0.0, samples=2, sample_ratio=0.004694835680751174, feature_name=None, feature_id=None, threshold=None, left=None, right=None)))), right=NodeInfo(id=16, is_leaf=False, value=[142.0, 17.0], value_ratio=[0.8930817610062893, 0.1069182389937107], impurity=0.19097345832838886, samples=159, sample_ratio=0.3732394366197183, feature_name='worst texture', feature_id=21, threshold=20.404998779296875, left=NodeInfo(id=17, is_leaf=False, value=[4.0, 10.0], value_ratio=[0.2857142857142857, 0.7142857142857143], impurity=0.40816326530612246, samples=14, sample_ratio=0.03286384976525822, feature_name='worst perimeter', feature_id=22, threshold=119.6500015258789, left=NodeInfo(id=18, is_leaf=True, value=[0.0, 10.0], value_ratio=[0.0, 1.0], impurity=0.0, samples=10, sample_ratio=0.023474178403755867, feature_name=None, feature_id=None, threshold=None, left=None, right=None), right=NodeInfo(id=19, is_leaf=True, value=[4.0, 0.0], value_ratio=[1.0, 0.0], impurity=0.0, samples=4, sample_ratio=0.009389671361502348, feature_name=None, feature_id=None, threshold=None, left=None, right=None)), right=NodeInfo(id=20, is_leaf=False, value=[138.0, 7.0], value_ratio=[0.9517241379310345, 0.04827586206896552], impurity=0.0918906064209275, samples=145, sample_ratio=0.3403755868544601, feature_name='worst area', feature_id=23, threshold=718.6500244140625, left=NodeInfo(id=21, is_leaf=False, value=[6.0, 7.0], value_ratio=[0.46153846153846156, 0.5384615384615384], impurity=0.4970414201183432, samples=13, sample_ratio=0.03051643192488263, feature_name='worst texture', feature_id=21, threshold=25.924999237060547, left=NodeInfo(id=22, is_leaf=True, value=[0.0, 7.0], value_ratio=[0.0, 1.0], impurity=0.0, samples=7, sample_ratio=0.01643192488262911, feature_name=None, feature_id=None, threshold=None, left=None, right=None), right=NodeInfo(id=23, is_leaf=True, value=[6.0, 0.0], value_ratio=[1.0, 0.0], impurity=0.0, samples=6, sample_ratio=0.014084507042253521, feature_name=None, feature_id=None, threshold=None, left=None, right=None)), right=NodeInfo(id=24, is_leaf=True, value=[132.0, 0.0], value_ratio=[1.0, 0.0], impurity=0.0, samples=132, sample_ratio=0.30985915492957744, feature_name=None, feature_id=None, threshold=None, left=None, right=None)))), graphviz='digraph Tree {\\nnode [shape=box] ;\\n0 [label=\"mean concave points <= 0.051\\\\ngini = 0.467\\\\nsamples = 100.0%\\\\nvalue = [0.371, 0.629]\"] ;\\n1 [label=\"worst radius <= 16.83\\\\ngini = 0.113\\\\nsamples = 62.7%\\\\nvalue = [0.06, 0.94]\"] ;\\n0 -> 1 [labeldistance=2.5, labelangle=45, headlabel=\"True\"] ;\\n2 [label=\"area error <= 48.7\\\\ngini = 0.039\\\\nsamples = 58.5%\\\\nvalue = [0.02, 0.98]\"] ;\\n1 -> 2 ;\\n3 [label=\"worst smoothness <= 0.178\\\\ngini = 0.024\\\\nsamples = 57.7%\\\\nvalue = [0.012, 0.988]\"] ;\\n2 -> 3 ;\\n4 [label=\"smoothness error <= 0.003\\\\ngini = 0.016\\\\nsamples = 57.5%\\\\nvalue = [0.008, 0.992]\"] ;\\n3 -> 4 ;\\n5 [label=\"gini = 0.278\\\\nsamples = 1.4%\\\\nvalue = [0.167, 0.833]\"] ;\\n4 -> 5 ;\\n6 [label=\"gini = 0.008\\\\nsamples = 56.1%\\\\nvalue = [0.004, 0.996]\"] ;\\n4 -> 6 ;\\n7 [label=\"gini = 0.0\\\\nsamples = 0.2%\\\\nvalue = [1.0, 0.0]\"] ;\\n3 -> 7 ;\\n8 [label=\"texture error <= 1.927\\\\ngini = 0.444\\\\nsamples = 0.7%\\\\nvalue = [0.667, 0.333]\"] ;\\n2 -> 8 ;\\n9 [label=\"gini = 0.0\\\\nsamples = 0.2%\\\\nvalue = [0.0, 1.0]\"] ;\\n8 -> 9 ;\\n10 [label=\"gini = 0.0\\\\nsamples = 0.5%\\\\nvalue = [1.0, 0.0]\"] ;\\n8 -> 10 ;\\n11 [label=\"worst texture <= 19.91\\\\ngini = 0.475\\\\nsamples = 4.2%\\\\nvalue = [0.611, 0.389]\"] ;\\n1 -> 11 ;\\n12 [label=\"gini = 0.0\\\\nsamples = 1.2%\\\\nvalue = [0.0, 1.0]\"] ;\\n11 -> 12 ;\\n13 [label=\"concave points error <= 0.01\\\\ngini = 0.26\\\\nsamples = 3.1%\\\\nvalue = [0.846, 0.154]\"] ;\\n11 -> 13 ;\\n14 [label=\"gini = 0.0\\\\nsamples = 2.6%\\\\nvalue = [1.0, 0.0]\"] ;\\n13 -> 14 ;\\n15 [label=\"gini = 0.0\\\\nsamples = 0.5%\\\\nvalue = [0.0, 1.0]\"] ;\\n13 -> 15 ;\\n16 [label=\"worst texture <= 20.405\\\\ngini = 0.191\\\\nsamples = 37.3%\\\\nvalue = [0.893, 0.107]\"] ;\\n0 -> 16 [labeldistance=2.5, labelangle=-45, headlabel=\"False\"] ;\\n17 [label=\"worst perimeter <= 119.65\\\\ngini = 0.408\\\\nsamples = 3.3%\\\\nvalue = [0.286, 0.714]\"] ;\\n16 -> 17 ;\\n18 [label=\"gini = 0.0\\\\nsamples = 2.3%\\\\nvalue = [0.0, 1.0]\"] ;\\n17 -> 18 ;\\n19 [label=\"gini = 0.0\\\\nsamples = 0.9%\\\\nvalue = [1.0, 0.0]\"] ;\\n17 -> 19 ;\\n20 [label=\"worst area <= 718.65\\\\ngini = 0.092\\\\nsamples = 34.0%\\\\nvalue = [0.952, 0.048]\"] ;\\n16 -> 20 ;\\n21 [label=\"worst texture <= 25.925\\\\ngini = 0.497\\\\nsamples = 3.1%\\\\nvalue = [0.462, 0.538]\"] ;\\n20 -> 21 ;\\n22 [label=\"gini = 0.0\\\\nsamples = 1.6%\\\\nvalue = [0.0, 1.0]\"] ;\\n21 -> 22 ;\\n23 [label=\"gini = 0.0\\\\nsamples = 1.4%\\\\nvalue = [1.0, 0.0]\"] ;\\n21 -> 23 ;\\n24 [label=\"gini = 0.0\\\\nsamples = 31.0%\\\\nvalue = [1.0, 0.0]\"] ;\\n20 -> 24 ;\\n}', is_classification=True), highlight_spaces=None, transition_features=None)", | |
| "text/html": "\n <style>\n table.eli5-weights tr:hover {\n filter: brightness(85%);\n }\n</style>\n\n\n\n \n\n \n\n \n\n \n\n \n\n \n\n\n \n\n \n\n \n\n \n\n \n\n \n\n\n \n\n \n\n \n\n \n\n \n <table class=\"eli5-weights eli5-feature-importances\" style=\"border-collapse: collapse; border: none; margin-top: 0em; table-layout: auto;\">\n <thead>\n <tr style=\"border: none;\">\n <th style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">Weight</th>\n <th style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">Feature</th>\n </tr>\n </thead>\n <tbody>\n \n <tr style=\"background-color: hsl(120, 100.00%, 80.00%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0.7090\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n mean concave points\n </td>\n </tr>\n \n <tr style=\"background-color: hsl(120, 100.00%, 94.31%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0.1177\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n worst texture\n </td>\n </tr>\n \n <tr style=\"background-color: hsl(120, 100.00%, 96.45%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0.0601\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n worst radius\n </td>\n </tr>\n \n <tr style=\"background-color: hsl(120, 100.00%, 97.56%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0.0352\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n worst area\n </td>\n </tr>\n \n <tr style=\"background-color: hsl(120, 100.00%, 97.85%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0.0293\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n worst perimeter\n </td>\n </tr>\n \n <tr style=\"background-color: hsl(120, 100.00%, 98.51%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0.0173\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n concave points error\n </td>\n </tr>\n \n <tr style=\"background-color: hsl(120, 100.00%, 98.78%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0.0130\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n area error\n </td>\n </tr>\n \n <tr style=\"background-color: hsl(120, 100.00%, 98.98%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0.0100\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n worst smoothness\n </td>\n </tr>\n \n <tr style=\"background-color: hsl(120, 100.00%, 99.22%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0.0068\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n texture error\n </td>\n </tr>\n \n <tr style=\"background-color: hsl(120, 100.00%, 99.72%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0.0016\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n smoothness error\n </td>\n </tr>\n \n <tr style=\"background-color: hsl(0, 100.00%, 100.00%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n mean area\n </td>\n </tr>\n \n <tr style=\"background-color: hsl(0, 100.00%, 100.00%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n mean smoothness\n </td>\n </tr>\n \n <tr style=\"background-color: hsl(0, 100.00%, 100.00%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n mean compactness\n </td>\n </tr>\n \n <tr style=\"background-color: hsl(0, 100.00%, 100.00%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n mean texture\n </td>\n </tr>\n \n <tr style=\"background-color: hsl(0, 100.00%, 100.00%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n mean symmetry\n </td>\n </tr>\n \n <tr style=\"background-color: hsl(0, 100.00%, 100.00%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n mean fractal dimension\n </td>\n </tr>\n \n <tr style=\"background-color: hsl(0, 100.00%, 100.00%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n radius error\n </td>\n </tr>\n \n <tr style=\"background-color: hsl(0, 100.00%, 100.00%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n mean radius\n </td>\n </tr>\n \n <tr style=\"background-color: hsl(0, 100.00%, 100.00%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n mean perimeter\n </td>\n </tr>\n \n <tr style=\"background-color: hsl(0, 100.00%, 100.00%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n mean concavity\n </td>\n </tr>\n \n \n \n <tr style=\"background-color: hsl(0, 100.00%, 100.00%); border: none;\">\n <td colspan=\"2\" style=\"padding: 0 0.5em 0 0.5em; text-align: center; border: none; white-space: nowrap;\">\n <i>… 10 more …</i>\n </td>\n </tr>\n \n \n </tbody>\n</table>\n \n\n \n\n\n \n\n \n\n \n\n \n\n \n\n \n \n <br>\n <pre><svg width=\"1433pt\" height=\"581pt\"\n viewBox=\"0.00 0.00 1432.50 581.00\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 577)\">\n<title>Tree</title>\n<polygon fill=\"#ffffff\" stroke=\"transparent\" points=\"-4,4 -4,-577 1428.5,-577 1428.5,4 -4,4\"/>\n<!-- 0 -->\n<g id=\"node1\" class=\"node\">\n<title>0</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"914,-573 728,-573 728,-505 914,-505 914,-573\"/>\n<text text-anchor=\"middle\" x=\"821\" y=\"-557.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">mean concave points <= 0.051</text>\n<text text-anchor=\"middle\" x=\"821\" y=\"-542.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.467</text>\n<text text-anchor=\"middle\" x=\"821\" y=\"-527.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 100.0%</text>\n<text text-anchor=\"middle\" x=\"821\" y=\"-512.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [0.371, 0.629]</text>\n</g>\n<!-- 1 -->\n<g id=\"node2\" class=\"node\">\n<title>1</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"804,-469 666,-469 666,-401 804,-401 804,-469\"/>\n<text text-anchor=\"middle\" x=\"735\" y=\"-453.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">worst radius <= 16.83</text>\n<text text-anchor=\"middle\" x=\"735\" y=\"-438.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.113</text>\n<text text-anchor=\"middle\" x=\"735\" y=\"-423.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 62.7%</text>\n<text text-anchor=\"middle\" x=\"735\" y=\"-408.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [0.06, 0.94]</text>\n</g>\n<!-- 0->1 -->\n<g id=\"edge1\" class=\"edge\">\n<title>0->1</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M792.8404,-504.9465C785.4158,-495.968 777.3185,-486.1758 769.5972,-476.8385\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"772.2928,-474.606 763.2229,-469.13 766.8983,-479.0669 772.2928,-474.606\"/>\n<text text-anchor=\"middle\" x=\"761.3366\" y=\"-485.3408\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">True</text>\n</g>\n<!-- 16 -->\n<g id=\"node17\" class=\"node\">\n<title>16</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"1054.5,-469 905.5,-469 905.5,-401 1054.5,-401 1054.5,-469\"/>\n<text text-anchor=\"middle\" x=\"980\" y=\"-453.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">worst texture <= 20.405</text>\n<text text-anchor=\"middle\" x=\"980\" y=\"-438.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.191</text>\n<text text-anchor=\"middle\" x=\"980\" y=\"-423.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 37.3%</text>\n<text text-anchor=\"middle\" x=\"980\" y=\"-408.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [0.893, 0.107]</text>\n</g>\n<!-- 0->16 -->\n<g id=\"edge16\" class=\"edge\">\n<title>0->16</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M873.0625,-504.9465C887.8875,-495.2497 904.1633,-484.6039 919.4471,-474.6069\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"921.3676,-477.533 927.8205,-469.13 917.5358,-471.6749 921.3676,-477.533\"/>\n<text text-anchor=\"middle\" x=\"923.7265\" y=\"-485.0065\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">False</text>\n</g>\n<!-- 2 -->\n<g id=\"node3\" class=\"node\">\n<title>2</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"531,-365 405,-365 405,-297 531,-297 531,-365\"/>\n<text text-anchor=\"middle\" x=\"468\" y=\"-349.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">area error <= 48.7</text>\n<text text-anchor=\"middle\" x=\"468\" y=\"-334.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.039</text>\n<text text-anchor=\"middle\" x=\"468\" y=\"-319.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 58.5%</text>\n<text text-anchor=\"middle\" x=\"468\" y=\"-304.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [0.02, 0.98]</text>\n</g>\n<!-- 1->2 -->\n<g id=\"edge2\" class=\"edge\">\n<title>1->2</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M665.8936,-408.0822C627.5766,-393.1572 579.9531,-374.6072 541.0269,-359.445\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"541.9173,-356.0356 531.3288,-355.6674 539.3765,-362.5583 541.9173,-356.0356\"/>\n</g>\n<!-- 11 -->\n<g id=\"node12\" class=\"node\">\n<title>11</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"806.5,-365 663.5,-365 663.5,-297 806.5,-297 806.5,-365\"/>\n<text text-anchor=\"middle\" x=\"735\" y=\"-349.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">worst texture <= 19.91</text>\n<text text-anchor=\"middle\" x=\"735\" y=\"-334.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.475</text>\n<text text-anchor=\"middle\" x=\"735\" y=\"-319.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 4.2%</text>\n<text text-anchor=\"middle\" x=\"735\" y=\"-304.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [0.611, 0.389]</text>\n</g>\n<!-- 1->11 -->\n<g id=\"edge11\" class=\"edge\">\n<title>1->11</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M735,-400.9465C735,-392.776 735,-383.9318 735,-375.3697\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"738.5001,-375.13 735,-365.13 731.5001,-375.13 738.5001,-375.13\"/>\n</g>\n<!-- 3 -->\n<g id=\"node4\" class=\"node\">\n<title>3</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"379.5,-261 210.5,-261 210.5,-193 379.5,-193 379.5,-261\"/>\n<text text-anchor=\"middle\" x=\"295\" y=\"-245.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">worst smoothness <= 0.178</text>\n<text text-anchor=\"middle\" x=\"295\" y=\"-230.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.024</text>\n<text text-anchor=\"middle\" x=\"295\" y=\"-215.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 57.7%</text>\n<text text-anchor=\"middle\" x=\"295\" y=\"-200.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [0.012, 0.988]</text>\n</g>\n<!-- 2->3 -->\n<g id=\"edge3\" class=\"edge\">\n<title>2->3</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M411.3533,-296.9465C395.0737,-287.1599 377.186,-276.4066 360.423,-266.3294\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"362.1478,-263.2826 351.7739,-261.13 358.5412,-269.282 362.1478,-263.2826\"/>\n</g>\n<!-- 8 -->\n<g id=\"node9\" class=\"node\">\n<title>8</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"538,-261 398,-261 398,-193 538,-193 538,-261\"/>\n<text text-anchor=\"middle\" x=\"468\" y=\"-245.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">texture error <= 1.927</text>\n<text text-anchor=\"middle\" x=\"468\" y=\"-230.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.444</text>\n<text text-anchor=\"middle\" x=\"468\" y=\"-215.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 0.7%</text>\n<text text-anchor=\"middle\" x=\"468\" y=\"-200.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [0.667, 0.333]</text>\n</g>\n<!-- 2->8 -->\n<g id=\"edge8\" class=\"edge\">\n<title>2->8</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M468,-296.9465C468,-288.776 468,-279.9318 468,-271.3697\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"471.5001,-271.13 468,-261.13 464.5001,-271.13 471.5001,-271.13\"/>\n</g>\n<!-- 4 -->\n<g id=\"node5\" class=\"node\">\n<title>4</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"231.5,-157 66.5,-157 66.5,-89 231.5,-89 231.5,-157\"/>\n<text text-anchor=\"middle\" x=\"149\" y=\"-141.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">smoothness error <= 0.003</text>\n<text text-anchor=\"middle\" x=\"149\" y=\"-126.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.016</text>\n<text text-anchor=\"middle\" x=\"149\" y=\"-111.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 57.5%</text>\n<text text-anchor=\"middle\" x=\"149\" y=\"-96.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [0.008, 0.992]</text>\n</g>\n<!-- 3->4 -->\n<g id=\"edge4\" class=\"edge\">\n<title>3->4</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M247.1941,-192.9465C233.8334,-183.4293 219.1893,-172.9978 205.3826,-163.163\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"207.0888,-160.0811 196.9133,-157.13 203.0275,-165.7826 207.0888,-160.0811\"/>\n</g>\n<!-- 7 -->\n<g id=\"node8\" class=\"node\">\n<title>7</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"362.5,-149.5 249.5,-149.5 249.5,-96.5 362.5,-96.5 362.5,-149.5\"/>\n<text text-anchor=\"middle\" x=\"306\" y=\"-134.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"306\" y=\"-119.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 0.2%</text>\n<text text-anchor=\"middle\" x=\"306\" y=\"-104.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [1.0, 0.0]</text>\n</g>\n<!-- 3->7 -->\n<g id=\"edge7\" class=\"edge\">\n<title>3->7</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M298.6018,-192.9465C299.7319,-182.2621 300.9838,-170.4254 302.1316,-159.5742\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"305.6213,-159.8549 303.1927,-149.5422 298.6602,-159.1185 305.6213,-159.8549\"/>\n</g>\n<!-- 5 -->\n<g id=\"node6\" class=\"node\">\n<title>5</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"140,-53 0,-53 0,0 140,0 140,-53\"/>\n<text text-anchor=\"middle\" x=\"70\" y=\"-37.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.278</text>\n<text text-anchor=\"middle\" x=\"70\" y=\"-22.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 1.4%</text>\n<text text-anchor=\"middle\" x=\"70\" y=\"-7.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [0.167, 0.833]</text>\n</g>\n<!-- 4->5 -->\n<g id=\"edge5\" class=\"edge\">\n<title>4->5</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M121.1476,-88.9777C113.7261,-79.9123 105.7023,-70.111 98.2593,-61.0192\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"100.9405,-58.7692 91.8977,-53.2485 95.5241,-63.2034 100.9405,-58.7692\"/>\n</g>\n<!-- 6 -->\n<g id=\"node7\" class=\"node\">\n<title>6</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"298,-53 158,-53 158,0 298,0 298,-53\"/>\n<text text-anchor=\"middle\" x=\"228\" y=\"-37.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.008</text>\n<text text-anchor=\"middle\" x=\"228\" y=\"-22.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 56.1%</text>\n<text text-anchor=\"middle\" x=\"228\" y=\"-7.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [0.004, 0.996]</text>\n</g>\n<!-- 4->6 -->\n<g id=\"edge6\" class=\"edge\">\n<title>4->6</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M176.8524,-88.9777C184.2739,-79.9123 192.2977,-70.111 199.7407,-61.0192\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"202.4759,-63.2034 206.1023,-53.2485 197.0595,-58.7692 202.4759,-63.2034\"/>\n</g>\n<!-- 9 -->\n<g id=\"node10\" class=\"node\">\n<title>9</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"514.5,-149.5 401.5,-149.5 401.5,-96.5 514.5,-96.5 514.5,-149.5\"/>\n<text text-anchor=\"middle\" x=\"458\" y=\"-134.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"458\" y=\"-119.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 0.2%</text>\n<text text-anchor=\"middle\" x=\"458\" y=\"-104.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [0.0, 1.0]</text>\n</g>\n<!-- 8->9 -->\n<g id=\"edge9\" class=\"edge\">\n<title>8->9</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M464.7256,-192.9465C463.6983,-182.2621 462.5601,-170.4254 461.5168,-159.5742\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"464.9933,-159.1612 460.5521,-149.5422 458.0254,-159.8313 464.9933,-159.1612\"/>\n</g>\n<!-- 10 -->\n<g id=\"node11\" class=\"node\">\n<title>10</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"645.5,-149.5 532.5,-149.5 532.5,-96.5 645.5,-96.5 645.5,-149.5\"/>\n<text text-anchor=\"middle\" x=\"589\" y=\"-134.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"589\" y=\"-119.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 0.5%</text>\n<text text-anchor=\"middle\" x=\"589\" y=\"-104.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [1.0, 0.0]</text>\n</g>\n<!-- 8->10 -->\n<g id=\"edge10\" class=\"edge\">\n<title>8->10</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M507.6199,-192.9465C521.3324,-181.1606 536.6761,-167.9726 550.3127,-156.2519\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"552.8169,-158.7147 558.1192,-149.5422 548.2541,-153.4061 552.8169,-158.7147\"/>\n</g>\n<!-- 12 -->\n<g id=\"node13\" class=\"node\">\n<title>12</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"669.5,-253.5 556.5,-253.5 556.5,-200.5 669.5,-200.5 669.5,-253.5\"/>\n<text text-anchor=\"middle\" x=\"613\" y=\"-238.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"613\" y=\"-223.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 1.2%</text>\n<text text-anchor=\"middle\" x=\"613\" y=\"-208.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [0.0, 1.0]</text>\n</g>\n<!-- 11->12 -->\n<g id=\"edge12\" class=\"edge\">\n<title>11->12</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M695.0526,-296.9465C681.2268,-285.1606 665.7564,-271.9726 652.0071,-260.2519\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"654.0168,-257.366 644.136,-253.5422 649.4756,-262.6931 654.0168,-257.366\"/>\n</g>\n<!-- 13 -->\n<g id=\"node14\" class=\"node\">\n<title>13</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"864,-261 688,-261 688,-193 864,-193 864,-261\"/>\n<text text-anchor=\"middle\" x=\"776\" y=\"-245.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">concave points error <= 0.01</text>\n<text text-anchor=\"middle\" x=\"776\" y=\"-230.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.26</text>\n<text text-anchor=\"middle\" x=\"776\" y=\"-215.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 3.1%</text>\n<text text-anchor=\"middle\" x=\"776\" y=\"-200.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [0.846, 0.154]</text>\n</g>\n<!-- 11->13 -->\n<g id=\"edge13\" class=\"edge\">\n<title>11->13</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M748.4249,-296.9465C751.7522,-288.5067 755.3628,-279.3479 758.8416,-270.5239\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"762.1334,-271.7168 762.5449,-261.13 755.6211,-269.1495 762.1334,-271.7168\"/>\n</g>\n<!-- 14 -->\n<g id=\"node15\" class=\"node\">\n<title>14</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"804.5,-149.5 691.5,-149.5 691.5,-96.5 804.5,-96.5 804.5,-149.5\"/>\n<text text-anchor=\"middle\" x=\"748\" y=\"-134.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"748\" y=\"-119.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 2.6%</text>\n<text text-anchor=\"middle\" x=\"748\" y=\"-104.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [1.0, 0.0]</text>\n</g>\n<!-- 13->14 -->\n<g id=\"edge14\" class=\"edge\">\n<title>13->14</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M766.8318,-192.9465C763.9255,-182.1519 760.7026,-170.1813 757.7566,-159.2389\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"761.1254,-158.2884 755.146,-149.5422 754.3661,-160.1083 761.1254,-158.2884\"/>\n</g>\n<!-- 15 -->\n<g id=\"node16\" class=\"node\">\n<title>15</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"935.5,-149.5 822.5,-149.5 822.5,-96.5 935.5,-96.5 935.5,-149.5\"/>\n<text text-anchor=\"middle\" x=\"879\" y=\"-134.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"879\" y=\"-119.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 0.5%</text>\n<text text-anchor=\"middle\" x=\"879\" y=\"-104.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [0.0, 1.0]</text>\n</g>\n<!-- 13->15 -->\n<g id=\"edge15\" class=\"edge\">\n<title>13->15</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M809.7261,-192.9465C821.1805,-181.3809 833.972,-168.4652 845.4154,-156.9107\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"848.163,-159.1102 852.713,-149.5422 843.1894,-154.1844 848.163,-159.1102\"/>\n</g>\n<!-- 17 -->\n<g id=\"node18\" class=\"node\">\n<title>17</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"1062,-365 898,-365 898,-297 1062,-297 1062,-365\"/>\n<text text-anchor=\"middle\" x=\"980\" y=\"-349.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">worst perimeter <= 119.65</text>\n<text text-anchor=\"middle\" x=\"980\" y=\"-334.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.408</text>\n<text text-anchor=\"middle\" x=\"980\" y=\"-319.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 3.3%</text>\n<text text-anchor=\"middle\" x=\"980\" y=\"-304.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [0.286, 0.714]</text>\n</g>\n<!-- 16->17 -->\n<g id=\"edge17\" class=\"edge\">\n<title>16->17</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M980,-400.9465C980,-392.776 980,-383.9318 980,-375.3697\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"983.5001,-375.13 980,-365.13 976.5001,-375.13 983.5001,-375.13\"/>\n</g>\n<!-- 20 -->\n<g id=\"node21\" class=\"node\">\n<title>20</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"1289,-365 1149,-365 1149,-297 1289,-297 1289,-365\"/>\n<text text-anchor=\"middle\" x=\"1219\" y=\"-349.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">worst area <= 718.65</text>\n<text text-anchor=\"middle\" x=\"1219\" y=\"-334.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.092</text>\n<text text-anchor=\"middle\" x=\"1219\" y=\"-319.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 34.0%</text>\n<text text-anchor=\"middle\" x=\"1219\" y=\"-304.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [0.952, 0.048]</text>\n</g>\n<!-- 16->20 -->\n<g id=\"edge20\" class=\"edge\">\n<title>16->20</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1054.638,-402.5215C1081.4695,-390.8459 1111.8308,-377.6343 1139.0928,-365.7714\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1140.8225,-368.8357 1148.5955,-361.6363 1138.0295,-362.4171 1140.8225,-368.8357\"/>\n</g>\n<!-- 18 -->\n<g id=\"node19\" class=\"node\">\n<title>18</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"995.5,-253.5 882.5,-253.5 882.5,-200.5 995.5,-200.5 995.5,-253.5\"/>\n<text text-anchor=\"middle\" x=\"939\" y=\"-238.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"939\" y=\"-223.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 2.3%</text>\n<text text-anchor=\"middle\" x=\"939\" y=\"-208.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [0.0, 1.0]</text>\n</g>\n<!-- 17->18 -->\n<g id=\"edge18\" class=\"edge\">\n<title>17->18</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M966.5751,-296.9465C962.2761,-286.0418 957.5039,-273.9368 953.1546,-262.9043\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"956.3875,-261.5617 949.4637,-253.5422 949.8753,-264.129 956.3875,-261.5617\"/>\n</g>\n<!-- 19 -->\n<g id=\"node20\" class=\"node\">\n<title>19</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"1126.5,-253.5 1013.5,-253.5 1013.5,-200.5 1126.5,-200.5 1126.5,-253.5\"/>\n<text text-anchor=\"middle\" x=\"1070\" y=\"-238.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"1070\" y=\"-223.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 0.9%</text>\n<text text-anchor=\"middle\" x=\"1070\" y=\"-208.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [1.0, 0.0]</text>\n</g>\n<!-- 17->19 -->\n<g id=\"edge19\" class=\"edge\">\n<title>17->19</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1009.4694,-296.9465C1019.3828,-285.491 1030.4424,-272.711 1040.3682,-261.2412\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1043.1336,-263.3942 1047.0308,-253.5422 1037.8404,-258.8135 1043.1336,-263.3942\"/>\n</g>\n<!-- 21 -->\n<g id=\"node22\" class=\"node\">\n<title>21</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"1293.5,-261 1144.5,-261 1144.5,-193 1293.5,-193 1293.5,-261\"/>\n<text text-anchor=\"middle\" x=\"1219\" y=\"-245.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">worst texture <= 25.925</text>\n<text text-anchor=\"middle\" x=\"1219\" y=\"-230.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.497</text>\n<text text-anchor=\"middle\" x=\"1219\" y=\"-215.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 3.1%</text>\n<text text-anchor=\"middle\" x=\"1219\" y=\"-200.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [0.462, 0.538]</text>\n</g>\n<!-- 20->21 -->\n<g id=\"edge21\" class=\"edge\">\n<title>20->21</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1219,-296.9465C1219,-288.776 1219,-279.9318 1219,-271.3697\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1222.5001,-271.13 1219,-261.13 1215.5001,-271.13 1222.5001,-271.13\"/>\n</g>\n<!-- 24 -->\n<g id=\"node25\" class=\"node\">\n<title>24</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"1424.5,-253.5 1311.5,-253.5 1311.5,-200.5 1424.5,-200.5 1424.5,-253.5\"/>\n<text text-anchor=\"middle\" x=\"1368\" y=\"-238.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"1368\" y=\"-223.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 31.0%</text>\n<text text-anchor=\"middle\" x=\"1368\" y=\"-208.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [1.0, 0.0]</text>\n</g>\n<!-- 20->24 -->\n<g id=\"edge24\" class=\"edge\">\n<title>20->24</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1267.7882,-296.9465C1285.1472,-284.8301 1304.6291,-271.232 1321.7676,-259.2696\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1323.7764,-262.1358 1329.9732,-253.5422 1319.7699,-256.3957 1323.7764,-262.1358\"/>\n</g>\n<!-- 22 -->\n<g id=\"node23\" class=\"node\">\n<title>22</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"1209.5,-149.5 1096.5,-149.5 1096.5,-96.5 1209.5,-96.5 1209.5,-149.5\"/>\n<text text-anchor=\"middle\" x=\"1153\" y=\"-134.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"1153\" y=\"-119.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 1.6%</text>\n<text text-anchor=\"middle\" x=\"1153\" y=\"-104.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [0.0, 1.0]</text>\n</g>\n<!-- 21->22 -->\n<g id=\"edge22\" class=\"edge\">\n<title>21->22</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1197.3891,-192.9465C1190.329,-181.8215 1182.4761,-169.4473 1175.3619,-158.237\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1178.1575,-156.1101 1169.8441,-149.5422 1172.2472,-159.8609 1178.1575,-156.1101\"/>\n</g>\n<!-- 23 -->\n<g id=\"node24\" class=\"node\">\n<title>23</title>\n<polygon fill=\"none\" stroke=\"#000000\" points=\"1340.5,-149.5 1227.5,-149.5 1227.5,-96.5 1340.5,-96.5 1340.5,-149.5\"/>\n<text text-anchor=\"middle\" x=\"1284\" y=\"-134.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"1284\" y=\"-119.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 1.4%</text>\n<text text-anchor=\"middle\" x=\"1284\" y=\"-104.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [1.0, 0.0]</text>\n</g>\n<!-- 21->23 -->\n<g id=\"edge23\" class=\"edge\">\n<title>21->23</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1240.2834,-192.9465C1247.2366,-181.8215 1254.9705,-169.4473 1261.9769,-158.237\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1265.0791,-159.8772 1267.4111,-149.5422 1259.1431,-156.1671 1265.0791,-159.8772\"/>\n</g>\n</g>\n</svg>\n</pre>\n \n\n\n\n" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "weights_df = eli5.format_as_dataframe(weights)\nimportant_features = weights_df[weights_df[\"weight\"] > 0][\"feature\"]", | |
| "execution_count": 28, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "#pip install pdpbox\n\n# Fragment kodu 1\n\nfrom matplotlib import pyplot as plt\nfrom pdpbox import pdp\n\n\nfor feature in important_features:\n \n pdp_goals = pdp.pdp_isolate(model=estimator_tree, dataset=X_test, model_features=X_test.columns,\n feature=feature)\n\n pdp.pdp_plot(pdp_goals, feature)\n plt.savefig(\"../output/017-{}.png\".format(feature))\n plt.show()", | |
| "execution_count": 29, | |
| "outputs": [ | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": "<Figure size 1080x684 with 2 Axes>", | |
| "image/png": 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\n" | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": "<Figure size 1080x684 with 2 Axes>", | |
| "image/png": 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\n" | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": "<Figure size 1080x684 with 2 Axes>", | |
| "image/png": 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\n" | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": "<Figure size 1080x684 with 2 Axes>", | |
| "image/png": 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\n" | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": "<Figure size 1080x684 with 2 Axes>", | |
| "image/png": 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\n" | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": "<Figure size 1080x684 with 2 Axes>", | |
| "image/png": 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\n" | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": "<Figure size 1080x684 with 2 Axes>", | |
| "image/png": 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2qyAIDkv6hKQvSfqWpJdJKpP0pKRXZLPZHUdbryRls9mfx69/rqT53b78j5LWZLPZn8TPuV7S7iAIqrPZbL6vbQMAAODYlYYjeg8q2mH/4CC//3mSHpU0TdIPJP1Q0nmSTlA09H0lCILC0xrfpGgInK5oGPi+JAVBUCXp9/E2Zkp6o6SvBUFQeMrf5ZI+JWmCpHt6WMv/Sdosaa6k10j6zyAIMtls9tuSrpF0bzabHd99yBuAyxUNtDMljVHvP7MfSHoofo+flPTmAbzGexV9jvAiRe+jUdGQ+hxBEFyiaEh7saKf90W9rLnHn1n8/R9UdErr0ng7fblK0tvitXUoGsIUBMGJin7+75M0Q9Jtioa1Mb1s51JF/6xMlnSrpK9IUjabvVLR4PcPcavPKvr5TZK0QNE/Z9coGmAVBMFHgiD4dT/W3ZNTJD3S+Zv4aO9T8eMAAABAr9JwRE+KjgStDILgi4P43mey2ewNkhQEwY8k/bukT2Sz2YOSfhcEQbuiIeQv8fN/k81m746f/++S9gVBsEDSckWnVt4QP+/hIAh+pmhgWxM/9stsNrsy/nVb4SLibVyo6EhPm6S/BEHwLUlXKjoqVgo3ZLPZJ+LX+7GiYaVIfGGW8yS9OP4Z3B0Ewa8G8Bq1kq7NZrOb4+1dL2ljEARXdh5VLfC6eE1r4ucGiobrQkU/s+gpz/n+vxW81hv7WN/NBc//mKKf85slvV5R29/HX/tvRacEL1f0Bwnd3ZPNZm+Ln3uzogGxN4cUDXgnZLPZRxUN0ZKkbDb7mT7WezTjFR05LrRP0VAMAAAA9CoNR/QU77j/WtJHBvHthafPtcbb6/5Y4RG9TQWv26zoFMu5ik4vfF4QBHs7/1J09G92T9/bg7mSGrLZbFPBYxsUnUZYKtsLft2ini/AMldSY7fPAg7k4h6LJN1S8DN4XNJhSbN6ea3Cn0lPP5++fmaFX+/POrs/f7SiI5dzC78/m80eiZ/b28+/+8+yIgiC3v5g5GZJd0j6YRAEW4Mg+GwQBKP7sda+NEua2O2xiZKaenguAAAA8Ky0HNGTpKyiz8x9vuCxzmGlUtL++NeFg9dgLOj8RXxK51RFF8zYJOlP2Wz2JUf53vAoX9sqaWoQBBMKhr2Fkrb0c10HFL3PToN9n9skTQmCoKpg2FuorrUXvU58gZQZBd+/SdLbCo7C9fVahZ87W9DDc472M9vW7XsW9uM1uz//kKTdin7+p3V+Ib6dxQL1/+dfqGjN2Wz2kKQg2mywWNFpoWslfXsQ2y60RgWn1canDy9R1xFkAAAAoEepGfTii3f8SNFnxP4aP7YrCIItkq4IgqBO0U7xkiG+1N8HQXChogu4fFLSn7PZ7Kb4c1afCYLgSkWf3ZKkMyU1d17Qo4/1bwqCYJWkTwdB8EFFF4R5u557KmNv/iLpX+JTL/dJ+tcBvauudWwIguBBRUPJv0k6X9I/KPocmiQ9oejo1csl/U7Svym6aE2nr0v6VBAEb463NUPS8mw2+8seXu7Hkr4Tn/q4QdEpuAPxY0k3BEFwk6T1iob9vlxR8PxPSPppNps9HJ/K+pH4dgV3Kzpt86CkVQNckxQdJT6+8zdBEFysaJh8TNEfOBxSdJSzT/FRwnJFF3EpC4KgQlJHfBrsLZI+FwTBqyX9RtHP71EuxAIAAIC+pOLUzQKfkFTV7bF3SvqQpD2KLlIxmB33Qj9QNFA0KLq65pskKT4K93eS3qDo6NB2Sf+l4iGoL2+UtDj+/luizUafGetL/LwfKbqwzEOKTmUdrMsVXaSmQdF7vangdfZJereiq0huUXSEb3PB935R0VD4uyAImhRdtfN5vaz5t4ouhnKnpHWKrogpRQNWn+Lv/4KkP8bf/8d+fNvNiq4oul1ShaI/GFA2m12raKj+sqKh7B8UXVClvT9r6ebTkj4an776QUVHV3+qaMh7XNKfJH1PkoIg+LcgCH57lG19VNHpwx+J19caP6ZsNrtL0qsVXaymUdHP+Q2DWC8AAACOMS4Mj3bmHI4F3W/dMIyvc5Kkv0ka28OFW0qx/bsU31qj1NsGAAAA0iQ1p24inYIgeJWi0w6rFB0B/dVwDHkAAAAAuqTt1E2kT62iWwQ8pehza+9KdjkAAACA/zh1EwAAAAA8wxE9AAAAAPAMgx4AAAAAeIZBDwAAAAA8w6AHAAAAAJ5h0AMAAAAAzzDoAQAAAIBnGPQAAAAAwDMMegAAAADgGQY9AAAAAPAMgx4AAAAAeIZBDwAAAAA8w6AHAAAAAJ5h0AMAAAAAzzDoAQAAAIBnGPQAAAAAwDMMegAAAADgGQY9AAAAAPAMgx4AAAAAeIZBDwAAAAA8w6AHAAAAAJ5h0AMAAAAAzzDoAQAAAIBnGPQAAAAAwDMMegAAAADgGQY9AAAAAPAMgx4AAAAAeIZBDwAAAAA8w6AHAAAAAJ5h0AMAAAAAzzDoAQAAAIBnGPQAAAAAwDMMegAAAADgGQY9AAAAAPAMgx4AAAAAeIZBDwAAAAA8w6AHAAAAAJ5h0AMAAAAAzzDoAQAAAIBnGPQAAAAAwDMMegAAAADgGQY9AAAAAPAMgx4AAAAAeIZBDwAAAAA8w6AHAAAAAJ5h0AMAAAAAzzDoAQAAAIBnGPQAAAAAwDMMegAAAADgGQY9AAAAAPAMgx4AAAAAeIZBDwAAAAA8w6AHAAAAAJ5h0AMAAAAAzzDoAQAAAIBnGPQAAAAAwDMMegAAAADgGQY9AAAAAPAMgx4AAAAAeIZBDwAAAAA8w6AHAAAAAJ5h0AMAAAAAzzDoAQAAAIBnUjHoOeemJb0GdKGHHbSwhR620MMOWthCD1voYYtPPVIx6EkqT3oBKEIPO2hhCz1soYcdtLCFHrbQwxZveqRl0AMAAAAA9FNJJtZMJnOJpC9KKpP0rVwu95lenvcaST+RdF4ul3twAC8xWdKOIS8UpUIPO2hhCz1soYcdtLCFHrbQwxZvegz5iF4mkymT9FVJL5N0sqQ3ZjKZk3t43gRJ75X050G8zKYhLRKlRg87aGELPWyhhx20sIUettDDFm96lOLUzfMlrcvlck/ncrl2ST+UdFkPz/ukpM9KahvEa8wbwvpQevSwgxa20MMWethBC1voYQs9bPGmRylO3Zyn4sl3s6TnFT4hk8mcJWlBLpf7dSaT+WBvG7rhhhuulnS1JO3du/f711133W2Stkma65wbJWmDpEWS9kvqkDRV0hZJsxQNrVskLZC0N97k5Hht8yQdUXQYdp6kBkXvfWLBNtsl7ZE0R9JuSRWSxhd8vS3e7mxJuyRVSaos+HqLpAOSZkjaHr92RcHXm+NtTI/f0zRJY1L6nkY555Z59p5S28k51+bbe0pxp8r43w2f3lOaO413zs3z7D2ltdO0bv8f9+E9pblTuXNuqWfvKc2dFjjnfHtPqe7knGu28p7CMFyrQXJhGA72eyVJmUzmtZJemsvl3hH//kpJ5+dyuX+Kfz9K0h8lvSWXy63PZDJ3SfrgQD6j55wbH4Zh85AWipKhhx20sIUettDDDlrYQg9b6GGLTz1KcermZkWTbaf5krYW/H6CpFMl3ZXJZNZLer6kWzOZzLkDeA1vDqF6gh520MIWethCDztoYQs9bKGHLd70KMWpmw9IWprJZI5TdDjzDZIu7/xiLpfbp+iwqCRpMEf0FB3+hB30sIMWttDDFnrYQQtb6GELPWzxpseQj+jlcrkOSddKukPS45J+nMvl1mQymU9kMplLh7r9mDc3LvQEPeyghS30sIUedtDCFnrYQg9bvOkx5M/ojQTn3LKhfBARpUUPO2hhCz1soYcdtLCFHrbQwxafeqRl0KsIw3Awt2XAMKCHHbSwhR620MMOWthCD1voYYtPPUpxMZaRsCjpBaAIPeyghS30sIUedtDCFnrYQg9bvOmRlkGvPekFoAg97KCFLfSwhR520MIWethCD1u86ZGWQW9P0gtAEXrYQQtb6GELPeyghS30sIUetnjTIy2D3pykF4Ai9LCDFrbQwxZ62EELW+hhCz1s8aZHWga93UkvAEXoYQctbKGHLfSwgxa20MMWetjiTY+0DHoVSS8ARehhBy1soYct9LCDFrbQwxZ62OJNj7QMeuOTXgCK0MMOWthCD1voYQctbKGHLfSwxZse3EcPA0YPO2hhCz1soYcdtLCFHrbQwxafeqTliJ4397PwBD3soIUt9LCFHnbQwhZ62EIPW7zpkZZBz4up2iP0sIMWttDDFnrYQQtb6GELPWzxpkdaBr29SS8ARehhBy1soYct9LCDFrbQwxZ62OJNj7QMerOTXgCK0MMOWthCD1voYQctbKGHLfSwxZseaRn0diW9ABShhx20sIUettDDDlrYQg9b6GGLNz3SMuhVJb0AFKGHHbSwhR620MMOWthCD1voYYs3PdIy6FUmvQAUoYcdtLCFHrbQww5a2EIPW+hhizc9uI8eBowedtDCFnrYQg87aGELPWyhhy0+9UjLET1v7mfhCXrYQQtb6GELPeyghS30sIUetnjTIy2DXkvSC0ARethBC1voYQs97KCFLfSwhR62eNMjLYPegaQXgCL0sIMWttDDFnrYQQtb6GELPWzxpkdaBr0ZSS8ARehhBy1soYct9LCDFrbQwxZ62OJNj7QMetuTXgCK0MMOWthCD1voYQctbKGHLfSwxZseaRn0Jie9ABShhx20sIUettDDDlrYQg9b6GGLNz3SMuhVJL0AFKGHHbSwhR620MMOWthCD1voYYs3PbiPHgaMHnbQwhZ62EIPO2hhCz1soYctPvVIyxE9b+5n4Ql62EELW+hhCz3soIUt9LCFHrZ40yMtg15z0gtAEXrYQQtb6GELPeyghS30sIUetnjTIy2DnheHTz1CDztoYQs9bKGHHbSwhR620MMWb3qkZdCbnvQCUIQedtDCFnrYQg87aGELPWyhhy3e9EjLoLct6QWgCD3soIUt9LCFHnbQwhZ62EIPW7zpkZZBb1rSC0ARethBC1voYQs97KCFLfSwhR62eNMjLYPemKQXgCL0sIMWttDDFnrYQQtb6GELPWzxpgf30cOA0cMOWthCD1voYQctbKGHLfSwxaceaTmi5839LDxBDztoYQs9bKGHHbSwhR620MMWb3qkZdDbn/QCUIQedtDCFnrYQg87aGELPWyhhy3e9EjLoNeR9AJQhB520MIWethCDztoYQs9bKGHLd70SMugNzXpBaAIPeyghS30sIUedtDCFnrYQg9bvOmRlkFvS9ILQBF62EELW+hhCz3soIUt9LCFHrZ40yMtg96spBeAIvSwgxa20MMWethBC1voYQs9bPGmR1oGvbSs81hBDztoYQs9bKGHHbSwhR620MMWb3qk5T56lWEYtiS9DkToYQctbKGHLfSwgxa20MMWetjiU4+0TKwLkl4AitDDDlrYQg9b6GEHLWyhhy30sMWbHmkZ9PYmvQAUoYcdtLCFHrbQww5a2EIPW+hhizc90jLoAQAAAAD6KS2D3uSkF4Ai9LCDFrbQwxZ62EELW+hhCz1s8aYHF2PBgNHDDlrYQg9b6GEHLWyhhy30sMWnHmk5ojcv6QWgCD3soIUt9LCFHnbQwhZ62EIPW7zpkZZB70jSC0ARethBC1voYQs97KCFLfSwhR62eNMjLYPejqQXgCL0sIMWttDDFnrYQQtb6GELPWzxpkdaBj1vDqF6gh520MIWethCDztoYQs9bKGHLd70SMug15D0AlCEHnbQwhZ62EIPO2hhCz1soYct3vRIy6BXnvQCUIQedtDCFnrYQg87aGELPWyhhy3e9EjLoDcx6QWgCD3soIUt9LCFHnbQwhZ62EIPW7zpkZb76FWEYdiW9DoQoYcdtLCFHrbQww5a2EIPW+hhi0890nJEb1HSC0ARethBC1voYQs97KCFLfSwhR62eNMjLYNee9ILQBF62EELW+hhCz3soIUt9LCFHrZ40yMtg96epBeAIvSwgxa20MMWethBC1voYQs9bPGmR1oGvTlJLwBF6GEHLWyhhy30sIMWttDDFnrY4k2PtAx6u5NeAIrQww5a2EIPW+hhBy1soYct9LDFmx5pGfQqkl4AitDDDlrYQg9b6GEHLWxDZE1/AAAgAElEQVShhy30sMWbHmkZ9MYnvQAUoYcdtLCFHrbQww5a2EIPW+hhizc9uI8eBowedtDCFnrYQg87aGELPWyhhy0+9UjLET1v7mfhCXrYQQtb6GELPeyghS30sIUetnjTIy2DnhdTtUfoYQctbKGHLfSwgxa20MMWetjiTY+0DHp7k14AitDDDlrYQg9b6GEHLWyhhy30sMWbHuWl2Egmk7lE0hcllUn6Vi6X+0y3r18n6R2SOiTtkvS2XC63YQAvMVvSvlKsFSVBDzsSbVFbn58tqSqp17fm1FdfcVxtff6ZpNeBCD3soIUt9LCFHqZslUf7uUMe9DKZTJmkr0p6iaTNkh7IZDK35nK5xwqetlrSublcriWTybxL0mclvX4AL7NrqOtESdHDjsRa1Nbn50o6U9LBpNZgzZLM34+XtDjpdSBCDztoYQs9bKGHGZWS9suj/dxSHNE7X9K6XC73tCRlMpkfSrpM0rODXi6Xu7Pg+fdJumKAr1ElqWGI60Tp0MOORFrU1uenSjpD0h5FR+ohqXH9urGzTj3Lm1M+0o4edtDCFnrYQg8zyuK/e7OfW4rP6M2TtKng95vjx3rzdkm/HeBrVA50URhW9LBjxFvU1ucnSDpH0WkNDHkFWhsbvbnJqg/oYQctbKGHLfQwx5v93FIc0XM9PNbjzfkymcwVks6VdFFPX7/hhhuulnS1JO3du/f711133W2StkmSc26ZpA2KLnm6X9EO5lRJWyTNUjS0bpG0QF0fopysaAidJ+mIpB3xrxsUvfeJBdtsV3R0Yo6k3ZIqFN0wsfPrbfF2Zys6pFul6B+Ezq+3SDogaYak7fFrVxR8vTnexvT4PU2TNCal72l73MOn95TWTmOccwtG6j2d+pord05etOTv3Sh3ePqJp7Ruvn/loimLl+zraGstb9q+ter4iy/Z9vSdt88ZXVl5aMayU/ZtXf3A9GlLq/e2NTaMObB7Z2Xn18dOmHhwynEnNG9/9OFp05ed3Hhg57ZxrY2NFZ1fHzdlSlvVzDmtu9c+NmX26WfvaXxm3fiDTfvHdn69avrMloopU9v3PJmfPPes83bvWrtm0qGWltGdX58we+6B8opxHY3rn5o0//wVO7c98sC0sOOwW3DBC3ZtuOfOWZPmL2ySpH2bN05YdOHFOzbde/cMV14WzjnjvD2b7185c7DvaeL8RftX3/yNRT69pzR3qpwx68ATv/3FDJ/eU1o7ja6sal998zcW+fSe0txp+rJTGh75wbcX+PSe0typ42BbWcMzT1b49J7S2KlszJgZ42fOeSzet5pjZX8vDMO1GqQh3zA9k8lcIOn6XC730vj3/ypJuVzu092e92JJX5Z0US6X2zmgRTq3bChvEqVFDztGskVtfb5c0R/UVMqTDymX2uqbv7HorCuvHsiFpjCM6GEHLWyhhy30MGOapNXfeMFJU33Zzy3FEb0HJC3NZDLHKZpy3yDp8sInZDKZsyTVSbpkoENerGXIq0Qp0cOOEWlRW58fJelURX8ytWckXjONxk2Z4s29d3xADztoYQs9bKGHOd7s5w75M3q5XK5D0rWS7pD0uKQf53K5NZlM5hOZTObS+GmfU3Ro8ieZTOYvmUzm1gG+zIGhrhMlRQ87RqrFUkWnGjDkHUXVzDmtSa8BXehhBy1soYct9DDHm/3cktxHL5fL3Sbptm6Pfbzg1y8e4kvMkCdXv/EEPewY9ha19fmFkpYoOu8cR7F77WNTFpx/4f6k14EIPeyghS30sIUe5nizn1uKq26OhO1JLwBF6GHHsLaorc/PkHSKog8Now+zTz+bI56G0MMOWthCD1voYY43+7lpGfQmJ70AFKGHHcPWorY+P0nS2ZIaJR0ertfxSeMz68YnvQZ0oYcdtLCFHrbQwxxv9nPTMuhxfxFb6GHHsLSorc9XKrrCZrOkQ8PxGj462LR/bNJrQBd62EELW+hhCz3M8WY/Ny2DHpectYUedpS8RW19foyiI3mHFd3TBf10/MWXbEt6DehCDztoYQs9bKGHOd7s56Zl0FuU9AJQhB52lLRFbX2+TNLpiv40q6mU2z4WPH3n7XOSXgO60MMOWthCD1voYY43+7lpGfSak14AitDDjpK1qK3PO0nVkqYr+lweBqhq+kxv7r3jA3rYQQtb6GELPczxZj83LYMep4/ZQg87StniOEkLJe0q4TaPKRVTprYnvQZ0oYcdtLCFHrbQwxxv9nPTMuhNT3oBKEIPO0rSorY+P0fR0TxuozAEe57Me3OlLh/Qww5a2EIPW+hhjjf7uWkZ9PiQqi30sGPILWrr81MknSlpj6QjQ17RMWzuWecxKBtCDztoYQs9bKGHOd7s56Zl0JuW9AJQhB52DKlFbX1+vKLbKOyT1FGSFR3Ddq1dMynpNaALPeyghS30sIUe5nizn5uWQW9M0gtAEXrYMegWtfX5sZLOkXQw/gtDdKilZXTSa0AXethBC1voYQs9zPFmPzctg54397PwBD3sGFSL2vp8uaSzJJVLOlDSFR3DuBeSLfSwgxa20MMWepjjzX5uWgY9b+5n4Ql62DHgFrX1+VGSTpE0UdLekq/oGMa9kGyhhx20sIUettDDHG/2c9My6O1PegEoQg87BtNiqaS5ii6+ghKaMHsuR0cNoYcdtLCFHrbQwxxv9nPTMuhxkQhb6GHHgFrU1ucXSFoi7pU3LMorxvHvhiH0sIMWttDDFnqY402PtAx6U5NeAIrQw45+t6itz0+XdJqie+WFw7aiY1jj+qe4cpoh9LCDFrbQwxZ6mOPNfm5aBr0tSS8ARehhR79a1NbnJyq6wmaDpMPDuqJj2PzzV+xMeg3oQg87aGELPWyhhzne7OemZdCblfQCUIQedvTZorY+P07RvfIOSDo07Cs6hm175AFv7r3jA3rYQQtb6GELPczxZj83LYNeWtZ5rKCHHUdtUVufHy3pbEWnaraOyIqOYWHHYZf0GtCFHnbQwhZ62EIPc7zZz03LG/HmEKon6GFHry1q6/Nlkk6XVCmPriBl2YILXsBFbgyhhx20sIUettDDHG/2c9My6C1IegEoQg87emxRW593kpZJmqHoc3kYARvuudOb0z18QA87aGELPWyhhzne7OemZdDjps620MOO3losjv/iTwlH0KT5C5uSXgO60MMOWthCD1voYY43+7lpGfQA9FNtfX62pJPEkAcAAHDMSsugNznpBaAIPewoalFbn58i6SxJeyQdSWRFx7B9mzdOSHoN6EIPO2hhCz1soYc53uznpmXQ25T0AlCEHnY826K2Pl+l6DYK+yV1JLaiY9iiCy/ekfQa0IUedtDCFnrYQg9zvNnPTcugNy/pBaAIPeyYJ0m19fmxim6I3i6pLdEVHcM23Xv3jKTXgC70sIMWttDDFnqY481+bloGPU5Bs4Uedhyprc+XSzpDUrmk5oTXc0xz5WVh0mtAF3rYQQtb6GELPczxZj83LYMeh7RtoYcRYydO2iHpZEXnk+9LeDnHvDlnnLcn6TWgCz3soIUt9LCFHuZ4s5+blkHPm0OonqCHESde8srlinrwPwkDNt+/cmbSa0AXethBC1voYQs9zPFmPzctgx43fLaFHgbU1ufnLX7BS6aK2yiYMWXxEo6qGkIPO2hhCz1soYc53uznpmXQK096AShCj4TV1uenSTq9ZffOfZI4t9+IjrZW/t0whB520MIWethCD3O86ZGWQW9i0gtAEXokqLY+P1HRbRT27t+yaVzS60GXpu1bq5JeA7rQww5a2EIPW+hhjjf7uWkZ9DYkvQAUoUdCauvz4xTdRqFFUvvxF1+yLeEloQA9bKGHHbSwhR620MMcb/Zz0zLoLUp6AShCjwTU1udHSzor/m2LJD195+1zklsRuqOHLfSwgxa20MMWepjjzX5uWga99qQXgCL0GGG19flRkk6TVCVpf+fjoysrDyW2KDwHPWyhhx20sIUettDDHG/2c9My6HHpeFvoMYJq6/NOUrWkWep2JagZy07hSl2G0MMWethBC1voYQs9zPFmPzctgx6HtG2hx8haJGmxpJ3dv7B19QPTR3w16BU9bKGHHbSwhR620MMcb/Zz0zLo7U56AShCjxFSW5+fKelk9XKvvGlLq/eO7IpwNPSwhR520MIWethCD3O82c9Ny6BXkfQCUIQeI6C2Pj9Z0RU290g60tNz2hobxozoonBU9LCFHnbQwhZ62EIPc7zZz03LoDc+6QWgCD2GWW19vkrRvfL2S+ro7XkHdu+sHLFFoU/0sIUedtDCFnrYQg9zvNnPTcug5839LDxBj2FUW58fI+lsSYcktR3tudx7xxZ62EIPO2hhCz1soYc53uznpmXQ8+Z+Fp6gxzCprc+XSTpD0hhJzX09n3vv2EIPW+hhBy1soYct9DDHm/3ctAx6Rz2qgRFHj2EQ30bhJElTJfXrg9ljJ0w8OKyLwoDQwxZ62EELW+hhCz3M8WY/Ny2DHlcjsoUew2OJpAUawNWephx3Qp9H/TBy6GELPeyghS30sIUe5nizn5uWQW920gtAEXqUWG19fq6kZerlNgq92f7ow9OGZ0UYDHrYQg87aGELPWyhhzne7OemZdAb0M4vhh09Sqi2Pj9N0efydksKB/K905ed3Dgsi8Kg0MMWethBC1voYQs9zPFmPzctg15V0gtAEXqUSG19foKie+Xt1VFuo9CbAzu3jSv5ojBo9LCFHnbQwhZ62EIPc7zZz03LoMf9RWyhRwnU1ucrFA15rZLaB7ON1sZGb27q6QN62EIPO2hhCz1soYc53uznpmXQ8+Z+Fp6gxxDV1udHSzpL0b+DLYPdDvfesYUettDDDlrYQg9b6GGON/u5aRn0vLmfhSfoMQS19flRkk6RNEHSvqFsi3vv2EIPW+hhBy1soYct9DDHm/3ctAx6gz7igWFBj0GK75V3oqIrOu0Z6vbGTZnizb1efEAPW+hhBy1soYct9DDHm/3ctAx6B5JeAIrQY/AWSDpeJbqiU9XMOa2l2A5Kgx620MMOWthCD1voYY43+7lpGfRmJL0AFKHHINTW52dIOlUlvGzv7rWPTSnVtjB09LCFHnbQwhZ62EIPc7zZz03LoLc96QWgCD0GqLY+P0nRFTYbJB0p1XZnn372kE//ROnQwxZ62EELW+hhCz3M8WY/Ny2D3uSkF4Ai9BiA2vp8paRzJTVJOlTKbTc+s258KbeHoaGHLfSwgxa20MMWepjjzX5uWgY97i9iCz36qbY+P0bS2Ypuhl7yD1sfbNo/ttTbxODRwxZ62EELW+hhCz3M8WY/Ny2Dnjf3s/AEPfqhtj5fJul0Rf/BaB6O1+DeO7bQwxZ62EELW+hhCz3M8WY/Ny2Dnjf3s/AEPfoQ30ahWtJ0SY3D9Trce8cWethCDztoYQs9bKGHOd7s56Zl0BuWoyEYNHr07ThJC1XCK2z2pGr6TG/u9eIDethCDztoYQs9bKGHOd7s56Zl0ONGkrbQ4yhq6/NzFB3NG9YhT5IqpkxtH+7XQP/RwxZ62EELW+hhCz3M8WY/Ny2D3vSkF4Ai9OhFbX1+qqQzJe2RFA736+15Mu/NlaF8QA9b6GEHLWyhhy30MMeb/dy0DHp8SNUWevSgtj4/XtG98vYpusrmsJt71nm7R+J10D/0sIUedtDCFnrYQg9zvNnPTcugNy3pBaAIPbqprc9XKBryDsZ/jYhda9dMGqnXQt/oYQs97KCFLfSwhR7meLOfm5ZBb0zSC0ARehSorc+XKzpds1zSgZF87UMtLaNH8vVwdPSwhR520MIWethCD3O82c9Ny6Dnzf0sPEGPWG19fpSkUyVNlLR3pF+fe+/YQg9b6GEHLWyhhy30MMeb/dy0DHre3M/CE/ToslTSHEUXXxlx3HvHFnrYQg87aGELPWyhhzne7OeWl2IjmUzmEklflFQm6Vu5XO4z3b4+VtJNij7DtEfS63O53PoBvMT+UqwTJUMPSbX1+QWSlkjamdQaJsyeO6KniuLo6GELPeyghS30sIUe5niznzvkQS+TyZRJ+qqkl0jaLOmBTCZzay6Xe6zgaW+X1JjL5U7IZDJvkPRfkl4/gJcZkSsYHs28y64ql/QJSS+S9EdJH9/yy5sGva6BbK8/zy319vowoPdd6p9dUgrfx+iKivte9M73/H702LG7NAK3UehNecW41P0cfUYPW+hhBy1soYct9DDHmx6lOKJ3vqR1uVzuaUnKZDI/lHSZpMJB7zJJ18e//qmkr2QyGZfL5fq7gzxVI3Dz6T58QtL7JI2TdLak8+dddtUdQ9jeJZJqJI3ux/b689xSb69XM1906Yx5l101kB5Dej1Dnn0fhw4ePHPlD7476YVvvforSS6ocf1TkxbXZEb8s4HoGT1soYcdtLCFHrbQwxwLc0dJlGLQmydpU8HvN0t6Xm/PyeVyHZlMZp+iS5cW3TfkhhtuuFrS1ZK0d+/e71933XW3KbqXRblzbpmiD0cuUnRItUNRiC2SZin6vOEWSQvUdVGMyfHrzpN0RNKO+NcNit77xIJttis6rXROvK4KSeM7vz7n5W+8xJWVj7u6bI9qyxpGS8pIyrzp0AJJ0vdHd/0I6g5P1TcOT9Pto5/WDHdYkvT4kbG6omOh/r1sh/6xrOuI8Evbj9NJrm30F0Zvy8Tb1H90zNQtRybpoTFPPvu8u49U6f0dc/U/5VtHv2DUgWefe077Ur1q1D59tLzr7MH3HZoz+vGwInPHmGcynY/9/PBEferwLH2vfKNOGhVd/X9XWKZLDh0/+uqyPZnasoZnn9vne5p6WNLOvt6TvjC667PFBe/p2Z9dwXvSC0Z1nbXQy3vS42GF7hjzzLOPHeU9Ke707HNL1KnwPY39dOOMN/76K5/vWHnkb+/ofLCxfNx97z3p0o9/fs0t/znzSPu5nY+/+6UfrHnTH7/zphWHGq7pfOzhead86Of7wsb/aH7sW52PbR878TfvX3jxV+rW/earE8OO4yWpXaMarr3oXf/43pU3vfvUjqbXdT739yde+Nbpe5+e+09feuvPOh/bMH7GjR+cevZPv7fxdzePVThFkg6MGr3u2nOvqM0++MOPLD7S+pLO5954/msvnf5I/QWvOLj9Xzsfy09d+Ll/HXPcylu2/+kXSb2n9Zs2T39n6/rPpfE9vfnEf7j8tV9774d9ek9p7rS5vOr2D/32F1/06T2lutOX7vXvPaW505fu9e89pbTTrY33/qyzhy/vKY2d/jJu+q1fOv3S90iqdM7N0QjPGpLa4u3OVjRoVkmqDMNwrQbJheHQzjrLZDKvlfTSXC73jvj3V0o6P5fL/VPBc9bEz9kc//6p+Dn9uoCFc25JGIZPDWmhQzTvsqv+U9I/S6qU1DamsvLGM1926RcGu72/3Hbr+9tbW96sKPJRt9ef55Z6e0eT/8UPFlS/8vJNfT+zNK9nRbf3cVjONSsMJ0nSqLKyzWOrxq+cNHvOqmXLax6aMH1G20is6dEf3zj/9Ne9ZfNIvBb6Rg9b6GEHLWyhhy30MGOapNXfeMFJE5OeO0qlFEf0NiuabDvNl7S1l+dszmQy5ZImKZp0+8vC1UE/ruizWBlJufaWluwtV/394D+j97MfXqtoqu9ze/15bqm3dzTuzS8/8vjPv/dk388szetZ0fk+nBv1dxNnzlr3vNe8/n82P/a32Vvzj11wYG/jitam/Ze17t/3+u1P5NtHV1Q8XDlp8srZS6tXLTnveRtGlZUNy5rCjsNuWDaMQaGHLfSwgxa20MMWephjYe4oiVIc0SuX9ISinfgtkh6QdHkul1tT8Jz3SDotl8tdE1+M5R9zudzretxgT4t0rjIMw5YhLRQlQw+ptj5/qqLD+M+eU3+gsWHM2pV3n7V329blbQeaVxzp6FgsSaPKyraMrRq/atLMWatOXF7zwMSZs0p2tK/hmScrph63dESOHqJv9LCFHnbQwhZ62EIPMzqP6B3wZT93yEf04s/cXSvpDkW3V/hOLpdbk8lkPiHpwVwud6ukb0u6OZPJrFN0JO8NA3yZBZIGfX4qSo4e0lOS5ir6Z/6wJFVNmdp+9ite+WdJf5b0P+tXPzRny+N/W36gsWF5a9P+V7Tu3/fa7eueODR6bMXDlZMnr5p1wokrTzj/gvVDOdq34Z47Z009bqk3N/ZMO3rYQg87aGELPWyhhzne7OeW5D56uVzuNkm3dXvs4wW/bpP02iG8BFcisuWY71FXU91aW59/QtIydbuoUKfFZ52zbfFZ5/xM0s9a9u0dvfaeP53ZuG3rioPNTRfs27H9/ft2bH//uvtWbhtbWbVq4sxZq5Yuv/D+ybPmtA5kHZPmL2wqwdtBidDDFnrYQQtb6GELPczxZj+3JIMecIzaLGmxpLGSDh7tiZWTJh866+WXPaDo1OYvbHhk9ezNa/56wYHGhhWtzU0va23a/+odTz3ZMXpsxepxkyatnLVk6aqlz1/x9HB9tg8AAAB+S8ugN1nR5UphAz0k1dVUd9TW59dIOlfSzr6eX2jRGWdtX3TGWbdIuqW1aX/52vo/ndm4bfMFbU3NK/bv3PG+/Tt3vG/dn+/dPraq6t6JM2auPOF5yx+YOm/+ge7b2bd54wQN7MJGGEb0sIUedtDCFnrYQg9zvNnPHfLFWEYCF/+whR5dauvzTtI5iu6DUpJTLzb99ZGZm/72yPLmxobl7a2t5ysMx0vqKB879i+VEyevmnn8klUnLq9ZN6qsjA9wG0MPW+hhBy1soYct9DCDi7EkZJ6kfl/OH8OOHrG6muqwtj6/VtKFkpoV3YJjSBacdsbOBaed8QtJvzh4oLk8X3/XaQ1bNq9oa25avn/Xjvfu37XjvU89cN/OsVVVq8oOdzxx+qWvvm3a/IXNQ31dDN2me++eMfW4pf2+xySGFz3soIUt9LCFHuZ4s5+blkHvSNILQBF6FKirqW6qrc8/I2mhovsFlszYqvEdZ1zyitWSVkv6yubH/jp946N/Wd7csGd5W3PzixWGr7z3h9+7rnzs2EfHTZy0aubi41ctu/CiJ/hsXzJceZn9UySOIfSwgxa20MMWepjjzX5uWgY9L86T9Qg9nutpSfMV/Ts1bDeDn3/yabvnn3zarZJubW9tKXvktlvPad6399y2pqblTbt2Xtu0a+e1Tz90/+6xlVWrJsyYsWrJeRfcN33hIo72jZA5Z5xX0kEfQ0MPO2hhCz1soYc53uznpmXQmydP7mfhCXp0U1dT3V5bn39c0uka4IVZBmvMuMrD5S37d1z8tmu+JulrWx5fM33DI6uff6Bhz4qDB5ovbmtuunTXM08fLh8z9q/jJk5cNWPxcauWrbhobdno0fzJ4TDZfP/KmTOWncK9kIyghx20sIUettDDHG/2c9My6HElIlvo0bNtim63ME7SgO6HN1hTFi/Z1/nreSedsnveSaf8WtKv21tbyvL1fzqlYfPG5a1N+1c07d717qbdu979zMMP7hlbWXXvhOkzVh5/7vl/nrH4+P0jsc5jRWEPJI8edtDCFnrYQg9zvNnPTcugl5Z1Hivo0YO6muoj8VG952mEBr2OttYeW4wZV3n49L972aOSHpX09a1rH5+64ZGHn9+8Z/fygweaa9qam16xa/3TR8rHjPnbuImTVk1fuHhldc0L8xztG5reeiAZ9LCDFrbQwxZ6mONNj7S8kYmKjpbABnr0oq6muqG2Pr9V0nRJe4f79Zq2b62StLuv581ddlLD3GUn3SbptkMHD47K19958p5NG1e07t+/vGn3rtqm3buuWf+XhxrGVFbeO2HajFXHn3PefTOPP4E/YRyg/vbAyKCHHbSwhR620MMcb/Zz03IfvYowDLm/iBH0OLra+nylpBpFh/6H9cpN+zZvHDNp/sL2oWxj+7onJq9/+MHnN+3ZvaK9teWC8MiRyZLC8jFj1lRMmLhy+sLFq056wcWPcbSvb6XogdKhhx20sIUettDDjM776DX5sp+blkFvWRiGXnwo0gf06FttfX6JpCUq8e0Wult98zcWnXXl1SX7APehgwdHrb3nTyft3rh+eVvT/hUd7e2nSHJu1Ki9Y8ZV3jt+2rRVx5193r1T581vWvmDm65pa24+r2L8+AdWXH7V18eMqzxcqnWkVal7DLf21pYynzumrYfPaGELPWyhR7I6/1/Y3tpygaQ7Nv3y5m8cbmt9LOl1lUJaBr3jwjB8Jul1IEKPvtXW50cruol6m6Rh+1O6v/3se3NPffUVW4dr+zufXjfp6YceeH7Tnl3L21talodHjkyRFMqN2qPwyGRFp38fGltZlZu2cNGvh2sdadG8ddPU8XMXpOZD3Hs2bviHgy0HLpY0Rh52TFsPn9HCFnrYQo9kdft/Yevh1pbvbP/dT69Nel2lkJZBb2IYhlwd0Ah69E9tfX6WpLM1jLdb2PG31VWzTj3rwHBtv9DhQ4dcvv6u6t0b1y9v2r3rzZIqR+J1AQAARkp45MiDW3/1vfOSXkcppOViLHMkMVjYQY/+2SmpUdJ4ScNy0/Ktqx+YPlKDXtno0eEpL3rJ45Iev/PbX6840NhwuaSxktrHVo3/3awlS38+EuuwbO/Ta2dPPn7Z9qTX0V87nnry1QcPNL9E0Z9ietcxbT18Rgtb6GELPZLV7f+FrYfbWh5Mek2lkpZBjysR2UKPfqirqQ7j2y0s1zANetOWVg/7lT17suLyq76+8gc3hW3NzedXjB9//4rLr6rz6bNdg7XxvqoNC5//gtRcrbS99aI1K39w0w5fO6ath89oYQs9bKFHsjr/X9je2rJc0u077/zVp5NeU6mkZdCrSHoBKEKPfqqrqd5XW5/fqOgoaGOpt9/W2DCm1NvsjzHjKg9f/PZrvibpa0m8vlVJ9Rgs3zumrYfPaGELPWyhR7IK/l/4I0mrv/Hjb3rTY1TSC+in8UkvAEXoMVtb1+MAACAASURBVDBPSXKSykq94QO7d/I5OUPoYQs97KCFLfSwhR7meLOfm5ZBj0vO2kKPAairqW6TtFbS1FJv+/iLL/Hihp6+oIct9LCDFrbQwxZ6mOPNfm5aBr1FSS8ARegxcFsktajEp70+feftc0q5PQwNPWyhhx20sIUettDDHG/2c9My6Hlxd3qP0GOA6mqqD0t6TNLEUm537ISJB0u5PQwNPWyhhx20sIUettDDHG/2c9My6CVyZUH0ih6Ds0fRLRdKNuxNOe6EYbmaJwaHHrbQww5a2EIPW+hhjjf7uWkZ9GYnvQAUoccg1NVUh4o+q1eh6OIsQ7b90YenlWI7KA162EIPO2hhCz1soYc53uznpmXQ25X0AlCEHoNUV1PdrOgqnCW5MMv0ZSeX/JYNGDx62EIPO2hhCz1soYc53uznpmXQq0p6AShCj6FZL+mwSnAfywM7t40b8mpQMvSwhR520MIWethCD3O82c9Ny6DH/UVsoccQ1NVUt0t6XCU4qtfa2MjN6w2hhy30sIMWttDDFnqY481+bloGPW/uZ+EJegzddkn7NcT/mHDvHVvoYQs97KCFLfSwhR7meLOfm5ZBz5v7WXiCHkNUV1N9RNHtFiYMZTvce8cWethCDztoYQs9bKGHOd7s56Zl0GtJegEoQo8SqKupblR0I/XJg93GuClTvLnXiw/oYQs97KCFLfSwhR7meLOfm5ZB70DSC0ARepTOk5LKNMh/F6tmzmkt7XIwFPSwhR520MIWethCD3O82c9Ny6A3I+kFoAg9SqSuprpF0bA3qAuz7F772JTSrghDQQ9b6GEHLWyhhy30MMeb/dy0DHrbk14AitCjtDZJOihpzEC/cfbpZ+8p/XIwWPSwhR520MIWethCD3O82c9Ny6A36M8wYVjQo4Tqaqo7FF2YZcA/18Zn1o0v/YowWPSwhR520MIWethCD3O82c9Ny6DH/UVsoUfp7ZK0R9KA/mN/sGn/2OFZDgaDHrbQww5a2EIPW+hhjjf7uWkZ9Ly5n4Un6FFidTXVoaS8BnhfPe69Yws9bKGHHbSwhR620MMcb/Zz0zLoeXM/C0/QYxjU1VTvV/Qfl35fmIV779hCD1voYQctbKGHLfQwx5v93LQMes1JLwBF6DF8nor/Xt6fJ1dNn+nNvV58QA9b6GEHLWyhhy30MMeb/dy0DHrcSNIWegyTuprqg4pO4ezXpZYrpkxtH94VYSDoYQs97KCFLfSwhR7meLOfm5ZBb3rSC0ARegyvrYpu1tnnh4H3PJn35spQPqCHLfSwgxa20MMWepjjzX5uWgY9PqRqCz2GUV1N9WFFt1uY2Ndz55513u7hXxH6ix620MMOWthCD1voYY43+7lpGfSmJb0AFKHHMKurqd6j6Iadk472vF1r1xz16xhZ9LCFHnbQwhZ62EIPc7zZz03LoDcm6QWgCD1GxhOSxkpyvT3hUEvL6JFbDvpCD1voYQctbKGHLfQwx5v93LQMet7cz8IT9BgBdTXVBySt01Fut8C9d2yhhy30sIMWttDDFnqY481+bloGPW/uZ+EJeoyc9ZI6JPX4p33ce8cWethCDztoYQs9bKGHOd7s56Zl0Nuf9AJQhB4jpK6m+pCkxyX1eEWuCbPnHhjZFeFo6GELPeyghS30sIUe5nizn5uWQa8j6QWgCD1G1g5J+yRVdv9CecU4WhhCD1voYQctbKGHLfQwx5seaRn0ev2MEhJBjxFUV1N9RNFRvfHdv9a4/imu1GUIPWyhhx20sIUettDDHG/2c9My6G1JegEoQo8RVldTvVfSZklTCh+ff/6KncmsCD2hhy30sIMWttDDFnqY481+bloGvVlJLwBF6JGMdZLK4r8kSdseecCbe734gB620MMOWthCD1voYY43+7lpGfTSss5jBT0SUFdT3aro3nrPHtULOw73eo89jDx62EIPO2hhCz1soYc53uznpuWNeHMI1RP0SM4mSQcV3UhdCy54wa5kl4NC9LCFHnbQwhZ62EIPc7zZz03LoLcg6QWgCD0SUldT3SFpjaRJkrThnju9Ob3AB/SwhR520MIWethCD3O82c9Ny6C3N+kFoAg9krVb0i5J4yfNX9iU9GLQhR620MMOWthCD1voYY43+7lpGfQAxOpqqkNJayVVyjnO6wcAAMBzpGXQm5z0AlCEHgmrq6lukrT+YNO++UmvBV32bd44Iek1oAs97KCFLfSwhR7meLOfm5ZBb1PSC0ARetjw9LxzLtgpqTzphSCy6MKLdyS9BnShhx20sIUettDDHG/2c9My6M1LegEoQg8D6mqqD66+6et7JU1Nei2IbLr37hlJrwFd6GEHLWyhhy30MMeb/dy0DHpHkl4AitDDiKfuvH27pCZJ45JeCyRXXhYmvQZ0oYcdtLCFHrbQwxxv9nPTMuhxSNsWehjR0dqyXdJjkiYmvRZIc844b0/Sa0AXethBC1voYQs9zPFmPzctg543h1A9QQ875tXVVDdI2qb43npIzub7V85Meg3oQg87aGELPWyhhzne7OemZdBrSHoBKEIPOzpbPCFpjNLz77SXpixesi/pNaALPeyghS30sIUe5nizn5uWnUKuKmgLPewol6S6muoDktaJC7MkqqOtlX83DKGHHbSwhR620MMcb3qkZdDj80e20MOOwhYbJB1SdGQPCWjavrUq6TWgCz3soIUt9LCFHuZ4s5+blkFvQ9ILQBF62PFsi7qa6kOS1sijG32mzfEXX7It6TWgCz3soIUt9LCFHuZ4s5+blkFvUdILQBF62NG9xU5JjZL408EEPH3n7XOSXgO60MMOWthCD1voYY43+7lpGfTak14AitDDjqIWdTXVoaTHxaCXiNGVlYeSXgO60MMOWthCD1voYY43+7lD+rBhJpOZKulHkhZLWi/pdblcrrHbc86U9L+Kznc9LOlTuVzuRwN8Ke4vYgs97HhOi7qa6n219fmNkuYoOrqHETJj2SlcOc0QethBC1voYQs9zPFmP3eoR/Q+IimXy+WWSsrFv++uRdJVuVzuFEmXSPpCJpMZ6GeIOKRtCz3s6K3FU4r+/S4bwbUc87aufmB60mtAF3rYQQtb6GELPczxZj93qIPeZZK+G//6u5Je2f0JuVzuiVwu92T8662KPkM0Y4Cvs3soi0TJ0cOOHlvU1VS3SVorbrcwoqYtrd6b9BrQhR520MIWethCD3O82c8d6n0iZuVyuW2SlMvltmUymZlHe3Imkzlf0aXfn+rp6zfccMPVkq6WpL17937/uuuuu03SNklLnXPTFV0FZ5Gk/ZI6FO3EbpE0S9HQukXSAkmd/8JMlrRJ0R3uj0jaEf+6QdF7n1iwzXZFh2rnKApcIWl8wdfb4u3OlrRL0WegKgu+3iLpgKIhdnv82hUFX2+OtzH9/7d3r1F2Vvd9x3/bCN0ldBfiYsAO1pg0CdhA7ZqhONt0xVmtcdqUOvVKwEmLU8erzcJNDXZzWe0bUtvp8mqbZDDmluDESRpqVkscw64vocvEisHgcJHFRSAJ3ZHQDSELPX1xHmXmETOSRnPZv73P97OWlmbmnDnnf/hyZp6t55znaR/T0va/RYmP6Ydtj5oeU6mdLgohrB/tMZ39zndvOO+Kn7xizuKls06fO2/vznVPLzrrkst2bF/7xBk/PHDg9Le896c2P/f1r65acOZZ+2fMnnN41/pnzzjn8vds2/zYmqXN4dfDue++cvsLD3195RnnvHmvJL2y8cUF513x3q0bvv2t5WHGac2qn7hs58bv/L8Vi89/6yuHD746Y++Wl+Ydvc3T58794fLVP/rKS4+uWbb0woHdB3e9PHP/jm1zj14+a8HC1xZf8CP7tjz+yNJlqy/atX/b5jmv7to1++jlcxYvPjhvxapXd6x9cvGZP/6Onbuef2b+a3v3zDp6+bxlKw7MXrzkkNtjOvjKrlk71z29qKbHVHKnw68dPK22x1Rqpy2Pf3fFznVPL6rpMZXc6U0zZry+67l1C2t6TCV32vX8s0vnr1y1tqbHVGKn02bOXD5/xaonJV0QQnjGZXuvaZq1OkWhaZrjXiHG+GB7h8f6tKS7UkqLRlx3V0pp8Ri3s0rSNyRdl1J6eFxDhrB6Ig8Sk4sePk7U4qN/9fQySZeptycdU+zRP7j1vEt+/oZqDstcOnr4oIUXenihh42lkh699cq3L6llO/eEe/RSSu8b67IY49YY46p2b94qjbExGWNcKOn/SPqP413ktfif3ws9fJyoxU71npcLJO2d+nH6G+dC8kIPH7TwQg8v9LBTzXbuRN+jd5+k69qPr5P0lWOvEGOcKeleSXenlP70FO+nmvNZVIIePo7boj3dwlpJcySFaZmoj3EuJC/08EELL/TwQg871WznTnShd4ukq2OM6yRd3X6uGOOlMcbb2utcK+lKSdfHGL/X/rl4nPdzcIJzYnLRw8cJWwwNDuyT9Jw4MMuUm7Vg4Wu5Z8AwevighRd6eKGHnWq2cyd0MJaU0k5JcZSv/42kf9V+/IeS/nAi96PhNzzCAz18nGyL59V78/AM9d5cjCmw+IIf2Zd7Bgyjhw9aeKGHF3rYqWY7d6J79KbLaAeDQT708HFSLYYGBw5Jekrs1ZtSWx5/ZGnuGTCMHj5o4YUeXuhhp5rt3FIWettzD4AOevgYT4vN6p0eYs4UzdL3lq2+aFfuGTCMHj5o4YUeXuhhp5rt3FIWevNyD4AOevg46RZDgwNHJD2p3jldMAX2b9vMItoIPXzQwgs9vNDDTjXbuaUs9ObmHgAd9PAxrhZDgwO71DvZ56ITXRfj9+quXbNzz4Bh9PBBCy/08EIPO9Vs55ay0KvmfBaVoIePU2mxTr2DspTy/C8G50LyQg8ftPBCDy/0sFPNdm4pG3rVnM+iEvTwMe4WQ4MDB9Rb7HFglknGuZC80MMHLbzQwws97FSznVvKQu9A7gHQQQ8fp9riRUmHJM2cxFn63pzFi6s5904N6OGDFl7o4YUedqrZzi1lobc/9wDooIePU2oxNDhwWL0Ds/BevUk0b8WqV3PPgGH08EELL/TwQg871WznlrLQW557AHTQw8dEWmyTtFPS/Emape/tWPvk4twzYBg9fNDCCz280MNONdu5pSz0tuQeAB308HHKLYYGBxpJT6uio0vlduaPv2Nn7hkwjB4+aOGFHl7oYaea7dxSFnq8vMwLPXxMqMXQ4MAe9Y4uxb8mToJdzz/D3lEj9PBBCy/08EIPO9Vs55ay0OP8Il7o4WMyWjwrKah3ygVMwGt798zKPQOG0cMHLbzQwws97FSznVvKQq+a81lUgh4+JtxiaHDgNUlrxekWJoxzIXmhhw9aeKGHF3rYqWY7t5SFXjXns6gEPXxMVotN6h1lqpp/xcqBcyF5oYcPWnihhxd62KlmO7eUhd6+3AOggx4+JqXF0ODA6+qdbuGMybi9fjVv2Ypqzr1TA3r4oIUXenihh51qtnNLWehxIkkv9PAxaS2GBgd2SNoqaeFk3Wa/mb14yaHcM2AYPXzQwgs9vNDDTjXbuaUs9JblHgAd9PAx2S3WqvfyzTDJt9sXdq57upojddWAHj5o4YUeXuhhp5rt3FIWerxJ1Qs9fExqi6HBgX3qHYWTA7OcgrMuuWxH7hkwjB4+aOGFHl7oYaea7dxSFnpLcw+ADnr4mIoW6yW9Lun0Kbjtqm1f+wTvcTRCDx+08EIPL/SwU812bikLvZm5B0AHPXxMeouhwYFDkp4SJ1Eftx8eOMDi2Ag9fNDCCz280MNONdu5pSz0qjmfRSXo4WOqWmyRtEfS3Cm6/SpxLiQv9PBBCy/08EIPO9Vs55ay0KvmfBaVoIePKWkxNDhwRNITkuZPxe3XinMheaGHD1p4oYcXetipZju3lIXentwDoIMePqasxdDgwG5JGyVxNLCTtODMs/bnngHD6OGDFl7o4YUedqrZzi1loXc49wDooIePqW7xjKQZkk6b4vupwozZc3huGKGHD1p4oYcXetippkcpCz0O9e6FHj6mtMXQ4MCrkn4w1fdTi13rn+XIaUbo4YMWXujhhR52qtnmKWWhtyn3AOigh4/paLFB0kFJs6bhvop2zuXv2ZZ7Bgyjhw9aeKGHF3rYqWY7t5SF3srcA6CDHj6mvMXQ4MBhSU9K4l8cT2DzY2uqOfdODejhgxZe6OGFHnaq2c4tZaFXypz9gh4+pqvFdkk7xFE4j6s5/HrIPQOG0cMHLbzQwws97FSznVvKA6lmF2ol6OFjWloMDQ40kp6WNEcSv5DGcO67r9yeewYMo4cPWnihhxd62KlmO7eUhd65uQdABz18TFuLocGBveqdRHTxdN1naV546OvVvNyjBvTwQQsv9PBCDzvVbOeWstDbnXsAdNDDx3S3eK79e8Y0328RzjjnzXtzz4Bh9PBBCy/08EIPO9Vs55ay0ANgYGhw4DX1XsJZzaGHAQAAalTKQm9R7gHQQQ8fOVpskrRP0uwM923tlY0vLsg9A4bRwwctvNDDCz3sVLOdW8pCb0PuAdBBDx/T3mJocOCIeqdbWDjd9+3uvCveuzX3DBhGDx+08EIPL/SwU812bikLvbNzD4AOevjI0mJocGCnpC3i3HodG779reW5Z8AwevighRd6eKGHnWq2c0s5oMKR3AOggx4+crb4gaRB8X69vzNnydKF4r+HDXr4oIUXenihh42jb0mpZju3lIUeu7S90MNHthZDgwP7P/pXT6+RNDfXDG5mLVj4oqQDuedADz180MILPbzQw8peSa/mHmKyhKZpcs9wQiGE1U3TrM09B3ro4YMWXujhhR4+aOGFHl7o4aWmHqW8R+/l3AOggx4+aOGFHl7o4YMWXujhhR5equlRykKvlJeY9gt6+KCFF3p4oYcPWnihhxd6eKmmRykLPQ7j7oUePmjhhR5e6OGDFl7o4YUeXqrpUcp79GY3TXMw9xzooYcPWnihhxd6+KCFF3p4oYeXmnqUskfvvNwDoIMePmjhhR5e6OGDFl7o4YUeXqrpUcpC71DuAdBBDx+08EIPL/TwQQsv9PBCDy/V9Chlobcz9wDooIcPWnihhxd6+KCFF3p4oYeXanqUstBblXsAdNDDBy280MMLPXzQwgs9vNDDSzU9Slno7cg9ADro4YMWXujhhR4+aOGFHl7o4aWaHqUs9GbnHgAd9PBBCy/08EIPH7TwQg8v9PBSTY9SFnrzcw+ADnr4oIUXenihhw9aeKGHF3p4qaYH59HDuNHDBy280MMLPXzQwgs9vNDDS009StmjV835LCpBDx+08EIPL/TwQQsv9PBCDy/V9ChloVfFqroi9PBBCy/08EIPH7TwQg8v9PBSTY9SFnq7cw+ADnr4oIUXenihhw9aeKGHF3p4qaZHKQu9M3MPgA56+KCFF3p4oYcPWnihhxd6eKmmRykLve25B0AHPXzQwgs9vNDDBy280MMLPbxU06OUhd683AOggx4+aOGFHl7o4YMWXujhhR5equlRykJvbu4B0EEPH7TwQg8v9PBBCy/08EIPL9X04Dx6GDd6+KCFF3p4oYcPWnihhxd6eKmpRyl79Ko5n0Ul6OGDFl7o4YUePmjhhR5e6OGlmh6lLPQO5B4AHfTwQQsv9PBCDx+08EIPL/TwUk2PUhZ6+3MPgA56+KCFF3p4oYcPWnihhxd6eKmmRykLveW5B0AHPXzQwgs9vNDDBy280MMLPbxU06OUhd6W3AOggx4+aOGFHl7o4YMWXujhhR5equlRykJvUe4B0EEPH7TwQg8v9PBBCy/08EIPL9X0KGWhNzv3AOighw9aeKGHF3r4oIUXenihh5dqekzoPHoxxiWSvizpfEnrJV2bUto1xnUXSnpK0r0ppY+Pa8iKzmdRA3r4oIUXenihhw9aeKGHF3p4qanHRPfo3SQppZQulJTaz8fynyV98xTvp5rzWVSCHj5o4YUeXujhgxZe6OGFHl6q6THRhd41ku5qP75L0gdHu1KM8Z2SVkr62inez75T/D5MDXr4oIUXenihhw9aeKGHF3p4qabHRBd6K1NKmyWp/XvFsVeIMb5J0uck/doE7qeK3acVoYcPWnihhxd6+KCFF3p4oYeXanrMONEVYowPSjpzlIs+fZL38TFJ96eUNsQYj3vFO+644wZJN0jS7t2777nxxhvvl7RZ0k+EEDZJekG93al7JB2WtETSJvX2Fr6p/fhcSbvbm1wkaYOksyUdkbS1/fhl9R77whG3eUjSTkmrJO1Q742Y80dcfrC93TMlbZc0T9LcEZcfUO8Ei8vVOyzrovY2jl6+r72NZe1jWippZqGPaWYIYVllj6nUTpeFEJ6o7DGV3GlZ+9yo6TGV3GlRCKG2x1Rqp9UhhO2VPaaSO80OISyp7DGV3OmtIYSHKntMJXe6LITwmMtjappmrU7RRA/GslbSVSmlzTHGVZK+kVJafcx17pE0qN6Dn6/ef8TfTSkd7/183SFDWNg0zZ5THhSTih4+aOGFHl7o4YMWXujhhR5eaupxwj16J3CfpOsk3dL+/ZVjr5BS+vDRj2OM10u6dDyLvNZS9f61AB7o4YMWXujhhR4+aOGFHl7o4aWaHhN9j94tkq6OMa6TdHX7uWKMl8YYb5vocCPMnMTbwsTRwwctvNDDCz180MILPbzQw0s1PSb00s3pUtP5LGpADx+08EIPL/TwQQsv9PBCDy819ZjoHr3pUs35LCpBDx+08EIPL/TwQQsv9PBCDy/V9ChloVfF62QrQg8ftPBCDy/08EELL/TwQg8v1fQoZaF3OPcA6KCHD1p4oYcXevighRd6eKGHl2p6lLLQW5J7AHTQwwctvNDDCz180MILPbzQw0s1PUpZ6G3KPQA66OGDFl7o4YUePmjhhR5e6OGlmh6lLPRW5h4AHfTwQQsv9PBCDx+08EIPL/TwUk2PUhZ6pczZL+jhgxZe6OGFHj5o4YUeXujhpZoepZxHb27TNAdyz4EeevighRd6eKGHD1p4oYcXenipqUcpK9Zzcw+ADnr4oIUXenihhw9aeKGHF3p4qaZHKQu93bkHQAc9fNDCCz280MMHLbzQwws9vFTTo5SFHgAAAADgJJWy0FuUewB00MMHLbzQwws9fNDCCz280MNLNT04GAvGjR4+aOGFHl7o4YMWXujhhR5eaupRyh69s3MPgA56+KCFF3p4oYcPWnihhxd6eKmmRykLvSO5B0AHPXzQwgs9vNDDBy280MMLPbxU06OUhd7W3AOggx4+aOGFHl7o4YMWXujhhR5equlRykKvml2olaCHD1p4oYcXevighRd6eKGHl2p6lLLQezn3AOighw9aeKGHF3r4oIUXenihh5dqepSy0JuRewB00MMHLbzQwws9fNDCCz280MNLNT1KWegtzD0AOujhgxZe6OGFHj5o4YUeXujhpZoepZxHb3bTNAdzz4EeevighRd6eKGHD1p4oYcXenipqUcpe/TOyz0AOujhgxZe6OGFHj5o4YUeXujhpZoepSz0DuUeAB308EELL/TwQg8ftPBCDy/08FJNj1IWejtzD4AOevighRd6eKGHD1p4oYcXenippkcpC71VuQdABz180MILPbzQwwctvNDDCz28VNOjlIXejtwDoIMePmjhhR5e6OGDFl7o4YUeXqrpUcpCb3buAdBBDx+08EIPL/TwQQsv9PBCDy/V9ChloTc/9wDooIcPWnihhxd6+KCFF3p4oYeXanpwHj2MGz180MILPbzQwwctvNDDCz281NSjlD161ZzPohL08EELL/TwQg8ftPBCDy/08FJNj1IWelWsqitCDx+08EIPL/TwQQsv9PBCDy/V9Chlobc79wDooIcPWnihhxd6+KCFF3p4oYeXanqUstA7M/cA6KCHD1p4oYcXevighRd6eKGHl2p6lLLQ2557AHTQwwctvNDDCz180MILPbzQw0s1PUpZ6M3LPQA66OGDFl7o4YUePmjhhR5e6OGlmh6lLPTm5h4AHfTwQQsv9PBCDx+08EIPL/TwUk0PzqOHcaOHD1p4oYcXevighRd6eKGHl5p6lLJHr5rzWVSCHj5o4YUeXujhgxZe6OGFHl6q6VHKQu9A7gHQQQ8ftPBCDy/08EELL/TwQg8v1fQoZaG3P/cA6KCHD1p4oYcXevighRd6eKGHl2p6lLLQW557AHTQwwctvNDDCz180MILPbzQw0s1PUpZ6G3JPQA66OGDFl7o4YUePmjhhR5e6OGlmh6lLPQW5R4AHfTwQQsv9PBCDx+08EIPL/TwUk2PUhZ6s3MPgA56+KCFF3p4oYcPWnihhxd6eKmmB+fRw7jRwwctvNDDCz180MILPbzQw0tNPUrZo1fN+SwqQQ8ftPBCDy/08EELL/TwQg8v1fQoZaG3L/cA6KCHD1p4oYcXevighRd6eKGHl2p6lLLQq2L3aUXo4YMWXujhhR4+aOGFHl7o4aWaHqUs9JblHgAd9PBBCy/08EIPH7TwQg8v9PBSTY9SFnqbcw+ADnr4oIUXenihhw9aeKGHF3p4qaZHKQu9pbkHQAc9fNDCCz280MMHLbzQwws9vFTTo5SF3szcA6CDHj5o4YUeXujhgxZe6OGFHl6q6cF59DBu9PBBCy/08EIPH7TwQg8v9PBSU49S9uhVcz6LStDDBy280MMLPXzQwgs9vNDDSzU9Slno7ck9ADro4YMWXujhhR4+aOGFHl7o4aWaHqUs9A7nHgAd9PBBCy/08EIPH7TwQg8v9PBSTY9SFnpLcg+ADnr4oIUXenihhw9aeKGHF3p4qaZHKQu9TbkHQAc9fNDCCz280MMHLbzQwws9vFTTo5SF3srcA6CDHj5o4YUeXujhgxZe6OGFHl6q6VHKQq+UOfsFPXzQwgs9vNDDBy280MMLPbxU06OU8+jNbZrmQO450EMPH7TwQg8v9PBBEYIksAAADIhJREFUCy/08EIPLzX1KGXFem7uAdBBDx+08EIPL/TwQQsv9PBCDy/V9Chlobc79wDooIcPWnihhxd6+KCFF3p4oYeXanqUstADAAAAAJykUhZ6i3IPgA56+KCFF3p4oYcPWnihhxd6eKmmBwdjwbjRwwctvNDDCz180MILPbzQw0tNPWZM5JtjjEskfVnS+ZLWS7o2pbRrlOu9WdJt6r25sZH00yml9eO4q7MlrZvIrJhU9PBBCy/08EIPH7TwQg8v9PBSTY+JvnTzJkkppXShpNR+Ppq7JX0mpfR2SZdL2jbO+zly6iNiCtDDBy280MMLPXzQwgs9vNDDSzU9JrRHT9I1kq5qP75L0jckfXLkFWKMF0makVJ6QJJSSvtO4X62nvqImAL08EELL/TwQg8ftPBCDy/08FJNj4ku9FamlDZLUkppc4xxxSjXeZuk3THGP5d0gaQHJd2UUnr92CvecccdN0i6QZJ27959z4033ni/pM2SLg0hbJL0gqTzJO2RdFjSEkmbJK1Ub+/kJvVeHnr0sKiLJG1QbxfsEfXCnS3p5faxLxxxm4ck7ZS0StIOSbMlzR9x+cH2ds+UtF3SPElzR1x+QNJ+ScslbWnve/aIy/e1t7GsfUxLJc0s9DHNDCEcquwxldrpihDCE5U9ppI7LQsh7KvsMZXcaVEIYWNlj6nUTqtDCNsre0wld5odQjhQ2WMqudNbQwgPVfaYSu50RQjhMZfH1DTNWp2iEx6MJcb4YHuHx/q0pLtSSotGXHdXSmnxMd//s5K+KOkSSS+q956++1NKXzzpIUNY3jTN9pO9PqYWPXzQwgs9vNDDBy280MMLPbzU1OOEe/RSSu8b67IY49YY46p2b94qjf7eu42SHk0pPdd+z/+S9C71Fn+TNiemFT180MILPbzQwwctvNDDCz28VNNjogdjuU/Sde3H10n6yijXWSNpcYxxefv5T0p6cpz3s/DUxsMUoYcPWnihhxd6+KCFF3p4oYeXanpMdKF3i6SrY4zrJF3dfq4Y46UxxtskqX0v3r+XlGKM35cUJH1hnPfzwgTnxOSihw9aeKGHF3r4oIUXenihh5dqepRywvTVE3kjIiYXPXzQwgs9vNDDBy280MMLPbzU1GOie/Smy6HcA6CDHj5o4YUeXujhgxZe6OGFHl6q6VHKQm9n7gHQQQ8ftPBCDy/08EELL/TwQg8v1fQoZaG3KvcA6KCHD1p4oYcXevighRd6eKGHl2p6FLHQu/322/9h7hkwjB4+aOGFHl7o4YMWXujhhR5eaupRxEJP0g25B0AHPXzQwgs9vNDDBy280MMLPbxU06OUhR4AAAAA4CSx0AMAAACAypSy0Ls19wDooIcPWnihhxd6+KCFF3p4oYeXanoUccJ0AAAAAMDJK2WPHgAAAADgJLHQAwAAAIDKzMg9wPHEGH9K0uclnSbptpTSLZlH6isxxnMl3S3pTElHJN2aUvp8jPG3JP1rSdvbq34qpXR/nin7S4xxvaS9kl6XdDildGmMcYmkL0s6X9J6SdemlHblmrEfxBhXq/ff/Ki3SPoNSYvEc2NaxBhvl/SPJW1LKf299mujPhdijEG93yU/LemApOtTSo/kmLtWY/T4jKR/IumQpGclfSSltDvGeL6kpyStbb/94ZTSL0//1PUao8dvaYyfTzHGmyX9knq/W/5tSukvp33oSo3R4suSVrdXWSRpd0rpYp4bU+8427ZV/v6wXejFGE+T9D8kXS1po6Q1Mcb7UkpP5p2srxyW9ImU0iMxxgWSvhtjfKC97L+mlD6bcbZ+9t6U0o4Rn98kKaWUbokx3tR+/sk8o/WHlNJaSRdLf/ezapOkeyV9RDw3psudkv67er+wjxrrufB+SRe2f/6+pN9r/8bkuVNv7PGApJtTSodjjL8t6WYN/2x6NqV08fSO2Ffu1Bt7SKP8fIoxXiTpQ5J+VNJZkh6MMb4tpfT6dAzaB+7UMS1SSv/i6Mcxxs9JemXE9XluTK2xtm2vV4W/P5xfunm5pGdSSs+llA5J+mNJ12Seqa+klDYf/VeLlNJe9f6V6ey8U2EU10i6q/34LkkfzDhLP4rq/WJ+Ifcg/SSl9C1JLx/z5bGeC9dIujul1KSUHpa0KMa4anom7Q+j9UgpfS2ldLj99GFJ50z7YH1qjOfHWK6R9McppddSSs9Leka9bTBMguO1aPcWXSvpj6Z1qD52nG3bKn9/OC/0zpa0YcTnG8UiI5v25QSXSPrr9ksfjzE+HmO8Pca4ON9kfaeR9LUY43djjDe0X1uZUtos9X6ASVqRbbr+9CF1f0nz3MhnrOcCv0/y+0VJfzHi8wtijI/GGL8ZYxzMNVQfGu3nE8+PfAYlbU0prRvxNZ4b0+SYbdsqf384L/TCKF/jXBAZxBjnS/qfkn41pbRHvd3Wb1XvpWubJX0u43j95j0ppXeo91KCX4kxXpl7oH4WY5wp6QOS/rT9Es8NT/w+ySjG+Gn1Xi51T/ulzZLenFK6RNKNkr4UY1yYa74+MtbPJ54f+fycuv9QyHNjmoyybTuWop8fzgu9jZLOHfH5OZJeyjRL34oxnq7eE+GelNKfS1JKaWtK6fWU0hFJXxAv8Zg2KaWX2r+3qfeesMslbT36MoL27235Juw775f0SEppq8Rzw8BYzwV+n2QSY7xOvQNRfDil1EhS+xLBne3H31XvQC1vyzdlfzjOzyeeHxnEGGdI+qcacWAvnhvTY7RtW1X6+8N5obdG0oUxxgvafzX/kKT7Ms/UV9rXjn9R0lMppd8Z8fWRr03+GUl/O92z9aMY47z2jcOKMc6T9I/U+29/n6Tr2qtdJ+kreSbsS51/jeW5kd1Yz4X7JP1CjDHEGN8l6ZWjL9HB1GmPnP1JSR9IKR0Y8fXl7UGMFGN8i3oHOXguz5T94zg/n+6T9KEY46wY4wXq9fjOdM/Xh94n6emU0sajX+C5MfXG2rZVpb8/bI+62R6l6+OS/lK90yvcnlJ6IvNY/eY9kn5e0vdjjN9rv/YpST8XY7xYvV3X6yV9NM94fWelpHtjjFLvufullNJXY4xrJP1JjPGXJL0o6Z9nnLFvxBjnqndU4JH///8XnhvTI8b4R5KukrQsxrhR0m9KukWjPxfuV+/Q2M+od3jsj0z7wJUbo8fNkmZJeqD9uXX0UPFXSvpPMcbD6h3O/5dTSid74BCchDF6XDXaz6eU0hMxxj+R9KR6L7H9FY64OXlGa5FS+qLe+P5uiefGdBhr27bK3x+haYp5mSkAAAAA4CQ4v3QTAAAAAHAKWOgBAAAAQGVY6AEAAABAZVjoAQAAAEBlWOgBAAAAQGVY6AEAAABAZVjoAQCqFEI4bZrv7w3nph3ta+P5fgAAThULPQBAUUII94QQ/iaE8P0Qwr0hhMXt168KIXwvhPDfQggPS3p/CGFhCOG2EMJ3QgiPhxA+f3QBGEL4RAhhTQjh0RDCt0MIF49xfzNDCJ9pb+N7IYQ/CCHMby+7s72/r0r66/ZrTQjh10II35D0myGE00IInw0h/G3757MjZnjD9wMAMBlY6AEASvPvmqa5tGmaH5P0hKRPjrjsxyR9qWmadzVN878l/Y6kbzZNc7mkiyWtkPSL7XXvbprmsqZpLpH065J+f4z7+w+SXmma5vKmaS6W9JKkm0dc/m5J/6xpmneO+Nqbmqa5qmmaX5d0Q3vf72j/XNJ+7XjfDwDAhPAyEQBAaX4hhPBhSTMlzZP0gxGXrWua5tsjPv+ApMtDCJ9oP58raWP78TtDCJ+StETSEUlvG+P+PiBpYQjhZ9vPZ0l6bMTlf9Y0zf5jvueuER+/T9KdTdMckqQQwh2SfkbS7x3n+wEAmBAWegCAYoQQBiX9G0n/oGma7SGEf6nu3rF9x36LpA82TfPcMbczU9KfSbqyaZpHQghnSdo01t1K+ljTNP93jMuPvc9jvxYkNcdc3oxxXQAAJgUv3QQAlGSRpFck7QwhzNLwyzDHcp+km0a8J25ZCOECSbPV+8fODe31PnaC27gxhDCnvY0FIYS3j2PmByRdH0I4PYRwuqTrJD04ju8HAGDcWOgBAEryF5KelfR0+/EjJ7j+r0p6XdJjIYTvS/qqpLObptkj6TckrQkhfEvS8V46eYt6L9VcE0J4XNJDksaz0LtV0uOSHm3/PC7pC+P4fgAAxi00zbGvJgEAAAAAlIw9egAAAABQGRZ6AAAAAFAZFnoAAAAAUBkWegAAAABQGRZ6AAAAAFAZFnoAAAAAUBkWegAAAABQmf8PpW51XG2r3PEAAAAASUVORK5CYII=\n" | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": "<Figure size 1080x684 with 2 Axes>", | |
| "image/png": 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\n" | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": "<Figure size 1080x684 with 2 Axes>", | |
| "image/png": 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\n" | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": "<Figure size 1080x684 with 2 Axes>", | |
| "image/png": 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\n" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "%%time\nimport numpy as np\nfrom sklearn.ensemble import RandomForestRegressor\n\ntaxi_data = pd.read_csv(\"../input/taxi.zip\")\n\ntaxi_data = taxi_data.query('pickup_latitude > 40.7 and pickup_latitude < 40.8 and ' +\n 'dropoff_latitude > 40.7 and dropoff_latitude < 40.8 and ' +\n 'pickup_longitude > -74 and pickup_longitude < -73.9 and ' +\n 'dropoff_longitude > -74 and dropoff_longitude < -73.9 and ' +\n 'fare_amount > 0'\n )\n\ntaxi_data[\"pickup_datetime\"] = pd.to_datetime(taxi_data[\"pickup_datetime\"])\n\ntaxi_data[\"pickup_year\"] = taxi_data[\"pickup_datetime\"].dt.year\ntaxi_data[\"pickup_month\"] = taxi_data[\"pickup_datetime\"].dt.month\ntaxi_data[\"pickup_day\"] = taxi_data[\"pickup_datetime\"].dt.day\ntaxi_data[\"pickup_hour\"] = taxi_data[\"pickup_datetime\"].dt.hour\ntaxi_data[\"pickup_minute\"] = taxi_data[\"pickup_datetime\"].dt.minute\ntaxi_data[\"pickup_second\"] = taxi_data[\"pickup_datetime\"].dt.second\ntaxi_data[\"pickup_dayofweek\"] = taxi_data[\"pickup_datetime\"].dt.dayofweek\n\ntaxi_data.drop([\"key\", \"pickup_datetime\"], axis = 1, inplace = True)\n\ntaxi_data[\"longitude_diff\"] = abs(taxi_data[\"pickup_longitude\"] - taxi_data[\"dropoff_longitude\"])\ntaxi_data[\"latitude_diff\"] = abs(taxi_data[\"pickup_latitude\"] - taxi_data[\"dropoff_latitude\"])\n\ntaxi_data[\"euclidean_dist\"] = np.sqrt((taxi_data[\"pickup_longitude\"] - taxi_data[\"dropoff_longitude\"])**2 + \n (taxi_data[\"pickup_latitude\"] - taxi_data[\"dropoff_latitude\"])**2)\ntaxi_data[\"taxicab_dist\"] = taxi_data[\"longitude_diff\"] + taxi_data[\"latitude_diff\"]\n\ny = taxi_data[\"fare_amount\"]\nX = taxi_data.drop([\"fare_amount\"], axis=1)\n\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25, random_state = 42)\n\nforest = RandomForestRegressor(random_state = 42, n_estimators = 100)\n\nforest.fit(X = X_train, y = y_train)", | |
| "execution_count": 30, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": "CPU times: user 56.3 s, sys: 160 ms, total: 56.5 s\nWall time: 57.6 s\n", | |
| "name": "stdout" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "weights = eli5.explain_weights(forest, feature_names = list(X_test.columns), top = 5)\nweights", | |
| "execution_count": 31, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "execution_count": 31, | |
| "data": { | |
| "text/plain": "Explanation(estimator=\"RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=None,\\n max_features='auto', max_leaf_nodes=None,\\n min_impurity_decrease=0.0, min_impurity_split=None,\\n min_samples_leaf=1, min_samples_split=2,\\n min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=1,\\n oob_score=False, random_state=42, verbose=0, warm_start=False)\", description='\\nRandom forest feature importances; values are numbers 0 <= x <= 1;\\nall values sum to 1.\\n', error=None, method='feature importances', is_regression=True, targets=None, feature_importances=FeatureImportances(importances=[FeatureWeight(feature='euclidean_dist', weight=0.483813524552276, std=0.03578114525795495, value=None), FeatureWeight(feature='longitude_diff', weight=0.057858751250130284, std=0.02667261352028726, value=None), FeatureWeight(feature='dropoff_latitude', weight=0.05155533139892528, std=0.03127490911701695, value=None), FeatureWeight(feature='latitude_diff', weight=0.0486808939985274, std=0.018072630925845955, value=None), FeatureWeight(feature='pickup_year', weight=0.045160098342680956, std=0.0060905564430885906, value=None)], remaining=11), decision_tree=None, highlight_spaces=None, transition_features=None)", | |
| "text/html": "\n <style>\n table.eli5-weights tr:hover {\n filter: brightness(85%);\n }\n</style>\n\n\n\n \n\n \n\n \n\n \n\n \n\n \n\n\n \n\n \n\n \n\n \n\n \n\n \n\n\n \n\n \n\n \n\n \n\n \n <table class=\"eli5-weights eli5-feature-importances\" style=\"border-collapse: collapse; border: none; margin-top: 0em; table-layout: auto;\">\n <thead>\n <tr style=\"border: none;\">\n <th style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">Weight</th>\n <th style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">Feature</th>\n </tr>\n </thead>\n <tbody>\n \n <tr style=\"background-color: hsl(120, 100.00%, 80.00%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0.4838\n \n ± 0.0716\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n euclidean_dist\n </td>\n </tr>\n \n <tr style=\"background-color: hsl(120, 100.00%, 95.48%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0.0579\n \n ± 0.0533\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n longitude_diff\n </td>\n </tr>\n \n <tr style=\"background-color: hsl(120, 100.00%, 95.83%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0.0516\n \n ± 0.0625\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n dropoff_latitude\n </td>\n </tr>\n \n <tr style=\"background-color: hsl(120, 100.00%, 95.99%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0.0487\n \n ± 0.0361\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n latitude_diff\n </td>\n </tr>\n \n <tr style=\"background-color: hsl(120, 100.00%, 96.20%); border: none;\">\n <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n 0.0452\n \n ± 0.0122\n \n </td>\n <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n pickup_year\n </td>\n </tr>\n \n \n \n <tr style=\"background-color: hsl(120, 100.00%, 96.20%); border: none;\">\n <td colspan=\"2\" style=\"padding: 0 0.5em 0 0.5em; text-align: center; border: none; white-space: nowrap;\">\n <i>… 11 more …</i>\n </td>\n </tr>\n \n \n </tbody>\n</table>\n \n\n \n\n\n \n\n \n\n \n\n \n\n \n\n \n\n\n\n" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "weights_df = eli5.format_as_dataframe(weights)", | |
| "execution_count": 32, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "weights_df", | |
| "execution_count": 33, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "execution_count": 33, | |
| "data": { | |
| "text/plain": " feature weight std\n0 euclidean_dist 0.483814 0.035781\n1 longitude_diff 0.057859 0.026673\n2 dropoff_latitude 0.051555 0.031275\n3 latitude_diff 0.048681 0.018073\n4 pickup_year 0.045160 0.006091", | |
| "text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>feature</th>\n <th>weight</th>\n <th>std</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>euclidean_dist</td>\n <td>0.483814</td>\n <td>0.035781</td>\n </tr>\n <tr>\n <th>1</th>\n <td>longitude_diff</td>\n <td>0.057859</td>\n <td>0.026673</td>\n </tr>\n <tr>\n <th>2</th>\n <td>dropoff_latitude</td>\n <td>0.051555</td>\n <td>0.031275</td>\n </tr>\n <tr>\n <th>3</th>\n <td>latitude_diff</td>\n <td>0.048681</td>\n <td>0.018073</td>\n </tr>\n <tr>\n <th>4</th>\n <td>pickup_year</td>\n <td>0.045160</td>\n <td>0.006091</td>\n </tr>\n </tbody>\n</table>\n</div>" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "for feature in weights_df[\"feature\"].values:\n \n pdp_goals = pdp.pdp_isolate(model=forest, dataset=X_test, model_features=X_test.columns,\n feature=feature)\n\n pdp.pdp_plot(pdp_goals, feature)\n plt.savefig(\"../output/017-{}.png\".format(feature))\n plt.show()", | |
| "execution_count": 34, | |
| "outputs": [ | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": "<Figure size 1080x684 with 2 Axes>", | |
| "image/png": 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\n" | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": "<Figure size 1080x684 with 2 Axes>", | |
| "image/png": 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\n" | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": "<Figure size 1080x684 with 2 Axes>", | |
| "image/png": 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x5ho97/Vr3dfP5c8lEon/utTnTSaTb5X0ekk3SvpYIpF4fcX9+yT9paRdku6W9PpEIjF6qc8LAACAYKuHoZURSb9U60ZcqGQyGb7Ah/RLGlnvIq6RXMRrFgTHJP2ObG/sOZLJZI+kf5b0W5I2SrpX0icua+sAAADQkOphaOUfS/q1ZDL5/kQiMV1+RzKZHJCUkhRNJBJ5f9tXJf1DIpH4QDKZfL2kn5f0HUlvkDQp6TWS9kh6j6QmSe9IJBJ/X3bYnmQy+SVJz5L0XUmvK/WAJJPJvZL+XNLTJZ2S9FuJROKT/n0fkrQkW5A9X9IrJJ3TY5NMJrdJ+mvZ3rdJSX+YSCT+NplMvlG21yWaTCbnJb03kUgkKh77LknXJBKJ1yx37v55D0n6fkk3SfqWpFcnEonTy+wbl/QhSU+T9G1Jj0rqTiQSr0kmky/wX78dZc89Ir8HKplMhiT9mv+6dks6IOnNiURiUstIJpO/JulXJHmSflvS38ofGrnca5ZMJl+jsuGtyWTyHZLe5j9+xSGv/mvwLUn7JF0r6auS3lBqWzKZfLmk35e0XdL9kn4hkUg8ssw5vkvSUySlJb1S0pikn0kkEvcmk8mPyPaO/VsymSxIerek/yfpA5JeIiks6bCklyYSiRMrtVeSEonEP/vPf6ukHRV3/6ikg4lE4p/8fd4l6XQymdybSCSGVzs2AAAArlz10CN3r+wb8rdf5OOfKekBSZskfVTSx2UXZr5Gtqj7i2QyWT7s8Kdli7we2Tf7/yhJyWSyTdKX/GNslvQqSe9PJpPlQ/JeLel3JXVI+sYybfmYpHFJ2yT9uKTfSyaT+xKJxN9JerOkbyUSifbKIu4CvFq2YN0sKabzv2YflfTf/jm+R9LPXMBz/KLsdXzPlz2PKdkitEoymbxDtgj7AdnX+/nnafOyr5n/+LfLDjnd7R9nNa+T9LN+2/KyRZaSyeQe2df/lyX1Svq8bDEWO89xXi6blW5J/yrpLyQpkUi8Vrawe5n/s/oj2devS9JO2Zy9WbZAVTKZfGcymfz3NbR7OddL+l7pht9b+7i/HQAAADiveuiRk2xPzl3JZPJ9F/HYVCKRuFOSksnkJyT9hqR3JxKJjKQvJpPJrGyRcb+//+cSicTX/f1/Q9JMMpncKek5skMf7/T3+24ymfy0bEF20N/22UQicZf/fbq8Ef4xnifbU5OWdH8ymfyApNfK9mqthzsTicQh//k+KVuMnMOf+OQZkn7Afw2+nkwm/+0CnmNQ0lsTicS4f7x3SRpLJpOvLfWKlvkffpsO+vsmZYvncue8ZnaXqsc/VPZcr1qlfR8p2/+3ZF/nn5H0k7I/2y/59/2J7JDd58h+UFDpG4lE4vP+vh+RLQDPJydbwF2TSCQekC2SJUmJROIPVmnvStple37LzcgWvQAAAMB51UOPnPw35v8u6Z0X8fDy4W1L/vEqt5X3yB0pe9552SGQ22SH/z0zmUxOl75ke++2LvfYZWyTNJlIJObKto3KDvNbLxNl3y9q+QlOtkmaqrgW70Imz+iX9Jmy1+ARSQVJW87zXOWvyXKvz2qvWfn9a2ln5f5R2Z7HbeWPTyQSRX/f873+la9lczKZPN8HGx+R9AVJH08mk8eSyeQfJZPJ6Braupp5SZ0V2zolzS2zLwAAAPCkeumRk6SE7DVr7y3bVipGWiXN+t+XF1YXY2fpG3/I5UbZCSmOSPpaIpF40QqP9Va475ikjclksqOsmNsl6ega27Uge54lF3uexyVtSCaTbWXF3C6dbfs5z+NPQNJb9vgjkn62rBdttecqv+5r5zL7rPSaHa94zK41PGfl/jlJp2Vf/xtLd/jLPezU2l//cue0OZFI5CQl7WGTA7LDNh+V9HcXcexyB1U27NUf3nu1zvYAAwAAAMuqm0LOnxzjE7LXaD3obzuVTCaPSnpNMpncL/um9+pLfKofSiaTz5OdIOU9ku5OJBJH/Ouc/iCZTL5W9topSXqqpPnShBmrtP9IMpn8pqTfTyaTb5edcOWNqh5qeD73S/rf/tDIGUn/54LO6mw7RpPJ5L2yRcevS7pN0stkrwOTpEOyvU8/LOmLkn5ddlKYkr+W9LvJZPJn/GP1SnpOIpH47DJP90lJH/SHJo7KDpG9EJ+UdGcymfywpBHZYn41rynb/92SPpVIJAr+UNN3+tP5f112WGVG0jcvsE2S7eW9qnQjmUy+ULZYfFj2A4WcbC/lqvxevojsJCnhZDLZLCnvD1P9jKQ/TiaTPybpc7Kv3wNMdAIAAIDV1MXQyjLvltRWse3nJb1D0hnZSSAu5o15uY/KFgyTsrNT/rQk+b1oL5b0U7K9OxOS/lDnFjmreZWkAf/xn7GHtddsrcbf7xOyE7f8t+xQ04v1atlJYCZlz/XDZc8zI+ktsrMwHpXtoRsve+z7ZIu+LyaTyTnZWS+feZ42/4fsZCNfkfSY7IySki2gVuU//s8kfdl//JfX8LCPyM7IOSGpWbbwVyKReFS2aP5z2aLrZbITlmTX0pYKvy/pN/3hpW+X7R39lGwR94ikr0n6B0lKJpO/nkwm/2OFY/2m7PDed/rtW/K3KZFInJL0Y7KTwUzJvs4/dRHtBQAAwBXGeN5KI98QBJVLGzh8nuskPSSpaZmJUdbj+F+Vv/TEeh8bAAAAaCR1M7QSjSmZTL5Sdlhgm2wP5r+5KOIAAAAAnFVvQyvReAZlp9B/XPa6sV+obXMAAACA4GNoJQAAAAA0GHrkAAAAAKDBUMgBAAAAQIOhkAMAAACABkMhBwAAAAANhkIOAAAAABoMhRwAAAAANBgKOQAAAABoMBRyAAAAANBgKOQAAAAAoMFQyAEAAABAg6GQAwAAAIAGQyEHAAAAAA2GQg4AAAAAGgyFHAAAAAA0GAo5AAAAAGgwFHIAAAAA0GAo5AAAAACgwVDIAQAAAECDoZADAAAAgAZDIQcAAAAADYZCDgAAAAAaDIUcAAAAADQYCjkAAAAAaDAUcgAAAADQYCjkAAAAAKDBUMgBAAAAQIOhkAMAAACABkMhBwAAAAANhkIOAAAAABoMhRwAAAAANBgKOQAAAABoMBRyAAAAANBgKOQAAAAAoMFQyAEAAABAg6GQAwAAAIAGQyEHAAAAAA2GQg4AAAAAGgyFHAAAAAA0GAo5AAAAAGgwFHIAAAAA0GAo5AAAAACgwVDIAQAAAECDoZADAAAAgAZDIQcAAAAADYZCDgAAAAAaDIUcAAAAADQYCjkAAAAAaDAUcgAAAADQYCjkAAAAAKDBUMgBAAAAQIOhkAMAAACABkMhBwAAAAANhkIOAAAAABoMhRwAAAAANBgKOQAAAABoMBRyAAAAANBgKOQAAAAAoMFQyAEAAABAg6GQAwAAAIAGQyEHAAAAAA2GQg4AAAAAGgyFHAAAAAA0GAq5CsaYTbVuA4KLfME1MgaXyBdcIl9wLWgZo5CrFql1AxBo5AuukTG4RL7gEvmCa4HKGIUcAAAAADQYCrlq3bVuAAKNfME1MgaXyBdcIl9wLVAZM57n1boNdcUY0+p53mKt24FgIl9wjYzBJfIFl8gXXAtaxuiRq7a91g1AoJEvuEbG4BL5gkvkC64FKmMUctWKtW4AAo18wTUyBpfIF1wiX3AtUBmjkKt2otYNQKCRL7hGxuAS+YJL5AuuBSpjFHLVAtXlirpDvuAaGYNL5AsukS+4FqiMUchVm6x1AxBo5AuukTG4RL7gEvmCa4HKGIVctUAtFIi6Q77gGhmDS+QLLpEvuBaojFHIVeusdQMQaOQLrpExuES+4BL5gmuByhjryFUwxjR7npeudTsQTOQLrpExuES+4BL5gmtByxg9ctX6a90ABBr5gmtkDC6RL7hEvuBaoDJGIVctW+sGINDIF1wjY3CJfMEl8gXXApUxCrlqZ2rdAAQa+YJrZAwukS+4RL7gWqAyRiFXra/WDUCgkS+4RsbgEvmCS+QLrgUqYxRy1U7XugEINPIF18gYXCJfcIl8wbVAZYxCrlpzrRuAQCNfcI2MwSXyBZfIF1wLVMYo5Kq117oBCDTyBdfIGFwiX3CJfMG1QGWMdeQqBG19CdQX8gXXyBhcIl9wiXzBtaBljB65aoFaXwJ1h3zBNTIGl8gXXCJfcC1QGaOQqxaYKh11iXzBNTIGl8gXXCJfcC1QGaOQqzZd6wYg0MgXXCNjcIl8wSXyBdcClTEKuWpba90ABBr5gmtkDC6RL7hEvuBaoDJGIVftVK0bgEAjX3CNjMEl8gWXyBdcC1TGKOSqtdW6AQg08gXXyBhcIl9wiXzBtUBljEKuWmutG4BAI19wjYzBJfIFl8gXXAtUxlhHrkLQ1pdAfSFfcI2MwSXyBZfIF1wLWsbokasWqPUlUHfIF1wjY3CJfMEl8gXXApUxCrlqi7VuAAKNfME1MgaXyBdcIl9wLVAZo5CrtlDrBiDQyBdcI2NwiXzBJfIF1wKVMQq5ar21bgACjXzBNTIGl8gXXCJfcC1QGaOQqzZR6wYg0MgXXCNjcIl8wSXyBdcClTEKuWrdtW4AAo18wTUyBpfIF1wiX3AtUBmjkKvWXOsGINDIF1wjY3CJfMEl8gXXApUx1pGrELT1JVBfyBdcI2NwiXzBJfIF14KWMXrkqgVqfQnUHfIF18gYXCJfcIl8wbVAZYxCrtp8rRuAQCNfcI2MwSXyBZfIF1wLVMYo5KoFprsVdYl8wTUyBpfIF1wiX3AtUBmjkKvWU+sGINDIF1wjY3CJfMEl8gXXApUxCrlqx2vdAAQa+YJrZAwukS+4RL7gWqAyFlmvA+3bt++Dkl4q6eSBAwduWK/j1sAmSbO1bgQCi3zBNTIGl8gXXCJfcC1QGVvPHrkPSbpjHY9XK7FaNwCBRr7gGhmDS+QLLpEvuBaojK1bIXfgwIGvS5pcr+PV0GitG4BAI19wjYzBJfIFl8gXXAtUxtZtaOVa3HnnnW+S9CZJmp6e/se3ve1tn5cdq7pJtkIelV3fYVZSXtJGSUclbZEtOo9K2ilp2j9kt6QjkrZLKko64X8/KXtunWXHzEo6I6lP0mnZld3by+5P+8d9tjHmO5LaJLWW3b8oaUFSr6QJ/7mby+6f94/RU4fntFXSKc6pLs6p2xgzHrBzCuLPqZHP6WZjzFcDdk5B/Dk16jk1G2MWA3ZOQfw5Neo5PcsYMxqwcwriz6mRzylmjMnW0zl5nveoLpLxPO9iH1tl3759A5L+vZGvkTPG9HmeF6gLIVE/yBdcI2NwiXzBJfIF14KWMWatrJavdQMQaOQLrpExuES+4BL5gmuByhiFXLWNtW4AAo18wTUyBpfIF1wiX3AtUBlbz+UHPibpBZJ69u3bNy4pceDAgb9br+NfRkdr3QAEGvmCa2QMLpEvuES+4MTg0LCRFFXAMrZuhdyBAwdetV7HqrEtshdIAi6QL7hGxuAS+YJL5AvrZnBoOCo7GUmP7AQkCkWiRxSgjF3WWSsbBMNN4RL5gmtkDC6RL7hEvnDR/F63NkldsoXbJklGUk62eOsORSLh2rVw/VHIVQtUlyvqDvmCa2QMLpEvuES+cEHKet16ZYu3JtllAhZllwA4R/uWvkBljEKu2k5JF72eA7AK8gXXyBhcIl9wiXxhRWW9bt2yhdtG2V63rOy6crMrPX7+xLGdkoYdN/OyoZCrNr36LsBFI19wjYzBJfIFl8gXqvi9bl06e63bir1uKwnHmgKVMQo5AAAAAHXB73Vrly3etkna4N+V0xp63a4kFHLVuiWdqHUjEFjkC66RMbhEvuAS+bpCDQ4Nx3TutW5RSZ5s4XZBvW4rKWQz3ZIm1ut4tUYhV+1IrRuAQCNfcI2MwSXyBZfI1xWirNdtg2zh1i17rVtGdobJgovnbd+yLVAZo5Crtl3S4Vo3AoFFvuAaGYNL5Asuka8A83vdumR73bZKisle67auvW4rmT9xfLukQ5fjuS4HCrlqxVo3AIFGvuAaGYNL5Asuka8AGRwaDsn2unXLXuvWLTtcMiuHvW4rMiZQGaOQq8bYbLhEvuAaGYNL5Asuka8GNzg03CR7rdtm2V63qM72up2qYdMkSS0bNgUqYxRy1baLNUzgDvmCa2QMLpEvuES+GkxZr9v6h7vjAAAgAElEQVQG2Z9fp39XWtKcatHrtoKlyVPbxTpygTZZ6wYg0MgXXCNjcIl8wSXy1QAGh4abZQu2Lf5XRLZgW1Qd9LqtJNLUEqiMUchV4zWBS+QLrpExuES+4BL5qkN+r1uHpI2yM0x2yl7rlpE0owa6trFYLAQqY4E6mXXSKel4rRuBwCJfcI2MwSXyBZfIV53we926dLbXLSxbsM2rznvdVlLMZTslHat1O9YLhVy10Vo3AIFGvuAaGYNL5Asuka8a8XvdOmWvddsm2wMnSUuSptVAvW4r6doZD1TGKOSq9YsLbeEO+YJrZAwukS+4RL4uo8Gh4RbZ4m2rbK9bSPZat7qYYdKFmSOpfjHZSaBla90ABBr5gmtkDC6RL7hEvhwaHBoOy/a0bZK91q1d9lq3tOxEM17tWnd5GBMKVMYo5KqdqXUDEGjkC66RMbhEvuAS+Vpnfq9bl2yvW6/stW4FNfi1bherqbMrUBmjkKvWJ2m21o1AYJEvuEbG4BL5gkvk6xL5vW6dsjNMbpPU5t+1JGlKV0Cv20rSM1N9sjNtBgKFXLXTtW4AAo18wTUyBpfIF1wiXxdhcGi4VbZ465PUI9vrltcV2uu2kmhLW6AyRiFXrbnWDUCgkS+4RsbgEvmCS+RrDcp63TbJ9rq1yva00eu2ikIuG6iMUchVa691AxBo5AuukTFHBoeGjaTSV6js+7V8rWX/kP8VLvs+VHFf6f7K/cuPs57OOd5zfvHXdw4ODR9Zw+PysosFL8lOpJD2t+XK/91/+97C+jYXDY7fX+fh97p1yfa6bZL9f5+TnWFyoYZNayjFfC5QGaOQqxao9SVQd8gXXCNj68CfIKBddk2lXq3+BtPTpRdRXsVX+bbiBeyz0vEvya7nvOCI1jazYEj22pxO2fcapYL0HINDw0XZYi+jswXfkuwb1HOKPtnCj56GYOP3l29waDiic3vdWmT/j6dFr9tFYx254GMNE7hEvuAaGbtAfk9bm2yxtknSZklN/t05SYvi2h1J0uMH/mP7La9901rfCK2l4DOyPQsx2eFhEZ3tYazkDQ4NZ3W26Cv19mVUXfTl9t++NxALGF9hrtjfX/7vocpr3YzOXus2X7vWBQfryAVfutYNQKCRL7hGxlbhX1/SLrue0madHabkyRYFi2LmvGU1dXRm1vmQnvzetjXuH5Z979Iuqdu/HV5ux8Gh4fKFjaf979P06tW1K+r3V1mvW49sr1vpA6RFsRSDEyYUDlTGKOSqTde6AQg08gXXyFiFwaHhmOwb/y7Zwq1b9pPu0jClaa0+LBGSNsSvqXWvQMH/Wgsj+8a4X9LV/u3M4NDwGdke1gVJ81ynV1cC/furrNetW7bXbaPssOOcbI/bXO1ad2WItbUHKmMUctW2KkDrS6DukC+4dkVnzH+j1CxbuG3Uude3FcQwyUsy8cB3N/XdfGuti7m18nT2uruSsOx1j32yhZ03ODQ8q7Jeu/2371263A3FkwL3+2twaDgq2+vWK3t+zbIfHC2JXrfLLjM3s1UB+sCAQq4a623AJfIF166ojA0ODYdkP+Fulx2e1Ct7vZV09vq2K+o1cann2qdM1boNl6ig6uuNmlXWazc4NJyRfYNNr93l1/D/V8uuuS2fYdKIXre6EG1tb/iMlaOQq9YmabLWjUBgkS+4FuiM+deUlK5v65V9kxTy707LvvHm+jZHFk4eb1HwXt+Veu0kSfTaXTYN+furotetT3ZIb1GMAKg7+Uy6TQHqCaWQq9Za6wYg0MgXXAtUxgaHhpt07vVtnfKHxInFby+7pampQC2mex4X2ms3L1vc0Wt36Rri95ff61b6vbRNdhi3ZGdq5cOkOuYV8g2RsbWikKsWqPUlUHfIF1xr2Iz5b45K67eVrm8r/dEtiGtKau6qF95xvNZtqJG19tqdlL3Gi167i1O3v7/8SZPKe91iOtvrFqjhekHGOnLBd8WuYYLLgnzBtYbJmH99W2n9tl7Za9xK17dlxbCkuvPEV/6z7wLWkQuy8/XaDUiKShK9dhelbn5/lfW6dcv2upVmuy31ugVqUpYrBevIBd9irRuAQCNfcK1uM1Z2fVvpU+3S9W2l2QXntfap5VEDLRs2BGoNpnVGr92lq+nvL7/XrUtnZ5gs9botiA+VAsGEI3X7N/JiUMhVW6h1AxBo5Auu1U3Gyq5v69a517eVhklOiuvbGkrb5j4Kj7Wj1+7CXdbfX36vW4fO7XWTpIz4YCmQIk3NdfM3cj1QyFXrVQPOmISGQb7gzODQsIk0N28eHBqeli2YSl9a4fZK913svqWJSVplC7W8bOHGJ9oN7vSjD2/YedvzmMjh4p2v126r/P9Dg0PDM7LXXF2JvXbO/0b6HzB1yv6O2ipbVJd63bjWLeByi/O9CtC11hRy1SZq3QAEGvm6jPxrsML+V0jnFh3rWeCYsuOHKraFyvat3KeyTZWP1QXuq1e8/2OtsteZSLaIKrV1Neu5b+n6tkB98glp601PC8wboDpxMb12aUn5/bfvLV7Wll4e6/430v870C5bMG/T2ZEBGdk13eh1u4I0dXQF6n0YhVy1bnEBK9whX6vw/+iWF2Dh89yOyl6/EFnm36j/VVJZeKx3geOVfUnnDhc8331exf3nu6+wzPGWO64k6cRD92/ddM1eer7gxFTqsfa+m2+dX31PXIJVe+0kaXBoOC9bjJR/pWU/SMkv97X/9r31PpR5Xf5G+r1upZEBW3Rurxu/H69g2YX5btn1IAOBQq7albBGDmonkPnyrzM4X8FVWXyd76tUgIXKDr1SEVUqcAqyf6BLt7Oyb2aC+Gn1qjJzs021bgOCi3zVxHK9dtLZ368x2WU7KkcfVGmA4u+i/kb6HwCWrnXbLtvrJtlzm9UV+vcA1bxiIVDvwyjkqjGtMlyqq3wNDg2fr+AKV3zFtHzRVeoBO+8bhwrFiq9SEZaXfSPBEJdLdAWv84XLgHzVldLv0dwFPKa8+GvVub/3lzU4NJzT6sVfQetT/K35b+Tg0HCzbMG2Rba3Miz7esyLa91wHqwjF3x1s4YJAumS87XMdV/nK8CWG3pYWYytRXmvV2URtqTqoX+oIdb5gkvkq+FdSvHXJLvu42rFn7dC8ZfT8j1/Bb/4O+/fyLJet42ySzqUet2WZIfK0euGVbGOXPAx9h/rrjT0cNM1e7ODQ8PlQ2AqC7DyIium6h6wqNZ+bVflkMPS7YzsHz7+6AVQW8/mQK2Rg/pCvq5IF1P8lf6mNctONLKm4m9f4r0dg0PD7Tq3+CtI6pHteQv7t5lhEhclFIkG6n0+hVw1FjuFpCeLr5V6vEq3K3u8SgVYefEVkqTnve23O2RnyTqfyiGH5X9AGXqIVTVv2JitdRsQXOQLa1TQhf+9Cjd1bShd79cu+zc0LPvhZVr0umEdhKOxQL3Pp5Cr1qMArS9xJaoYerhSARZT9ZDD8qJsrf8/KocclhdjOf97T5KO3XdP25YbbmHGLDhz5vBw965nfR8zo8IJ8gWHCqceebBtx63P5m8knMktLfQoQDOXUshV40LuGnA05Xyl8hkQy6d1r+z9SsvRdV/bbnlGYH55oD6RMbhEvuAS+YJrzV0bAvU+n0Ku2ibZqWqxinWccj6mla/7Ki/AGnrK+VOPHuzacsMtLJIMZ8gYXCJfcIl8wbXM7MwmBWg9Xwq5arFaN8C180w5v9ztyinnK4cehisOfb5Fl1ebcn6la8YCJbe4uFKPIXDJyBhcIl9wiXzBNc8rBup9/roVcvv27btD0vtk39x/4MCBA3+wXse+zOpyWmXHU84vt+gyU847wBpMcI2MwSXyBZfIF1wL2jpyxvMu/b34vn37wpIOSXqRpHFJ90h61YEDBx6+5INfJttf8bqIpHcX8/kfCkUin5f020c/++H8pRyzbOjhar1fqw09LE05f74er3Lnm3K+/As1ct9H/qafNZjgEhmDS+QLLpEvONbzwRffMppbWmIduQq3SXrswIEDT0jSvn37Pi7pFZIappCT9G5Jbw9FIlFJ10u65apXv+VPNu7YefjpL3vltFaecv58632V1ktZruAqd74p5xviui+sXcfWbYz9h1NkDC6RL7hEvuBaKBoL1DwY61XIbZd0pOz2uKRnVu505513vknSmyRpenr6H9/2trd9XnaWyE2yxdCopH7ZyUbykjZKOiq7CGTI/36n7FoiktTtP+922WLnhP/9pH9unWXHzMouK9AnO+1oaZHKUUn9fT/8qjtMOBJ9U/iMBsOTEUl3KKc7fvrQaaX+9P7FD0fGWkvnMdSy9evv7X3qpz9x5IvJJq/YLUnz4djjv/ysN/yv37j7H341nl/YV9r3Q7f9xMt7vjf07JdmJv5Padvwxl1//H9i8bs+M/G1fyltm4q0fPsXr3v5b7/34Gd+b3Mxe2tp+1t+8O23//SXP/jTz81Nvrm07bvbr3/HP894U78z//AHStsmmjo/9yu7XvgX+x/73F92evmrJCmr0ORbn/8LP/qLd334LTfk5/5Had8v7XneG0aOjPf8/NLIH5e2jbb3fujtG5/2qX8Y++JHmuRtkKSFUPSxt976msHEvR9/50Bx6UWc06Wf02io5UvvzOf/NEjnFMSfU8Of0+xw8M4piD+nRj2nRz4dvHMK4s+pAc/pradjD/zjI5/+zyCdUxB/To16Tve39PzrnYXiW40x16oGtYbOroe4VXZB+zZJrZ7nPaqLtF5DK39C0g8eOHDg5/zbr5V024EDB/7XJR/8Mtn+itf9nqRfktQqaam5veNftly9++D81JldSzMzfdmlpZ2FXDbueV7Xkw8yJh2OREYisaaRWEtLqqWzM9W9dVtq5403H2np6LykYZkIJoaNwDUyBpfIF1wiX3CMoZXnMS5bvZbskHRsnY59ufy2JM8rFl9kQqEvpefnEje+6A4j21vYL2lDsVgsnko9YSYOD++cnzwTzywsxHOZdDy7tPTUzML8HXOnT+nkE4/r0DeHCqFI5EgkGhuJNjePNLd3pDp6e1Pbr7thZEPftsXaniZqacdtzz1Z6zYg2MgYXCJfcIl8wbWWjb1Ha92G9bRehdw9knbv27cvLtsl+VOSXr1Ox74s/IlNfsMY80HP8x4vu2tC0sTg0HBbKBTavOXqa/q3XH3NuKQnZLtlPUmaPnG85ejDB/tnT52Ip+fn4rmldDyfy8azS4vPW5iajJw5MqqR794rEwqfiMSiqWhT80istW2kfePG1OarrkltvWbPZChcOZs/gub49+7Z1Hvt9eO1bgeCi4zBJfIFl8gXXFuaOrNFAVr2al0KuQMHDuT37dv3VklfkJ0I5IMHDhw4uB7HroHQchv33753QVJqcGh4RHa87DbZMbIhSQvdW/oWu7f0DUs6p7s2szAfGX3g/h3Tx48NLM3OxLNLS/F8NhNfnJ15xeLMdMv08aMaP/igjDGz4Wg0FWlqSsVaWkdau7pHNu7Ymeq/6ZZj4WiUaf4DwssXVpr0BrhkZAwukS+4RL7gnOct+z6/Ua3LNXJBYoxp9TxvTcMfB4eGo7IXSfbLDsEsyPbS5VZ7bCGXM+MPP7Tl9NjIwOL09EB2cSGey2bihVwu7hWLG8p2zYSj0dFILJaKNrekWjo7R7q39KV23njzWGtX96rPg/oymTrcvDG+O13rdiC4yBhcIl9wiXzBsZ5PvvaHvzE18nhgZkddtwXBA2SnpDXNHrP/9r052dlrTgwODbdK6pUUl+2xy8kWdcsuHRCORr3+m2+Z6L/5lglJ3y6/7+QTj3UdP3woPj95eiCzsDCQS6fjuXT6xszCwg/OnzmtU6kndPjbdxVD4fBRW+A1p5raOlKdPb0jfXuvG9m0Y9f8xZ8+XBr9xle2bIzv5kJuOEPG4BL5gkvkC67Nnzi2UxWj5xoZhVy16dV3qbb/9r2LkkYHh4bHJHXJTj26Q3ao6aKkNVf/m6+6ZmbzVdfcL+n+8u1zp081Hzn4QP/syRPx9NzcQDa9FM9ns/Hs0tJzFqamIpPjYxq5/79lQqHTkWgsFWlqSjW1taXaNmxMbY5fPdK3Z+9prsOrra4duwIzLhv1iYzBJfIFl8gXXAvHmi7qfX69opBbZ/tv3+vJFoPTg0PDh2WHXu6StFl26OWc7DoTF6yjpzf9lOfve1QVPYbZpcXw2APf2z51bDy+ODsTzy4tDuQz2fjS3OwPL83OtE0fP6ajDz+k+z7/r/ORaHQkEmtKxVpaU61dXakN23ekdt10y7FoUxOLjgMAAAANgkKuWrfscMlLtv/2vXlJJyWdHBwabpEdejkg22O34tDLCxFraS1c88xnj0kak/S10vZioaCjjxzsPTWaii9OTcYzi4vxXCY9kFlceE56fu5ls6dOaOKxQ3rka1/OhiPRsUgsloq2tIw0t3ekurZsTe284aax9o2bMpfaPpw1Mz7WIbuIJOAEGYNL5AsukS+4VshmumVnpA8EJjupcCGTnVyMwaFhI7sKfJ/s9XgR2aGXl/W6ttOjqY7jhx4dmDtzKp6en4/nMul4IZsdKBYK2yWVZo3yQuHw0XAsNhJtak41t7WPtG/qSW27dm+qpz/O8IeLwIXccI2MwSXyBZfIFxxjspMrwHZJh10d3B96OSNpZnBo+DFJG2QLus2ya9LNSXLeC9bTH5/r6Y8/KOnB8u3zk2eajjz0wK7ZkycGluZm47klex3e4tLUbYvTU7HJo0c09sB9MqHQmXDUrofX1Nqaau3eMNLbH09tf8oNJ7kO7/yOfOvrvRvju4/Uuh0ILjIGl8gXXCJfcG3+xPHtkg7Vuh3rhUKu2mW7VswfenlK0qnBoeFmST2ys172SsrLDr0sXK72SFL7xk2Z677vhYdVUczmMpnQ2AP3bZs6Oh5fnJ0ZyC4uxvPZTHxpbvaOpdmZ9umJ4zo2/LC+98XPL4Qj0ZFIU8yuh9fZleru2z7Sf/NTx2MtrZf1XOqRiYTpAodTZAwukS+4RL7gnDGBmhOCoZUVjDHtnufVbPp+f+hlh6StspOkRCQt6TIPvVyrYqGg44eGe06mHh9YmJqMZxYWBvKZTDyfy8a9YrG3bNd8KBIZi8RiqVhzS6q5o2Okc/OW1M7rbxrt6Om9YoZRnHr0YEvvtdcv1bodCC4yBpfIF1wiX3Cs52M/9eJvzh4dC8zlQfTIVduuNa4j54I/9HJW0uzg0PDjOjv0covs0Mt5SXVT+ITCYW2/7vrT26+7/rSke8vvOzM+1n58+JGB2dOnBjILc/FcOj2Qz2R3ZxcXXzg/eSZ0enRET9xzt0Lh8HF/mGaqqb091b6xZ6Rv957U5quumanRaTkz/p27Nvdeez1r5MAZMgaXyBdcIl9wbWny1Haxjlyg1c1sSftv31uQdFrS6cGh4SbZoZcDskMvC7IFX75mDVzFph275jft2PWQpIfKty/OTEePPPi9XdMnjseXZmcHcnY9vIHFmemnL85MN00dHdeRB++XCYWm7DDNppR/HV6qZ9fAyM4bbppo1OvwNgxcHbjiFPWFjMEl8gWXyBdcizS11M37/PVAIVetLl+T/bfvzUg6Kuno4NBwh2wPXb+kqGwPXcN0E7d2deeufd7zH5f0ePn2Qi5nxh78Xt+Z8bH44vSUvx5eJp6Zn/uB9Nxs58yJCR1/9BE9+F//uRSOREYisaaRWEtLqqWzK9Xdty3Vf9NTx5va2uu2sJWkfHqpLvOF4CBjcIl8wSXyBdeKxUKgMhaok1knnZKO17oRK9l/+945SXODQ8NPyA693CF7TZ2RLejqZujlhQhHo178abceiz/t1mOS7iptLxYKOvH44Q0nHn8svjB1Jp5ZWIjnMumB7NLS0zIL8y+ZO31KJ594TIfu+no+FImMR6KxVLS5eaS5oyPV2bM5tf36G0a6t/TVxZj7uYljbbK9rIATZAwukS+4RL7gWjGX7ZR0rNbtWC9MdlLBGNPseV7DFUKDQ8MxSZtkZ73sVAMMvVwPU8ePtR575GD/7OmT8fTcXDyXTsfzuexAMZ/fKenJ8ZcmFJ6IxKIj0abmVFNb20jbhk2pLVdfk9py9e6pyzlMc2Z8LNa1Y1f2sj0hrjhkDC6RL7hEvuBYz6ff+KNfP33o4br4cH89UMhVMMZc63lezSY7WQ+DQ8PtOjv0Mia7Lt2c7GQpV4SludnIkYce2DF9/Fh8aXYmnl1aiuezmXghnx+Q5zWX9jPGzISjsVSkqWmkqbU11dLVPbJpx67UrhtvPh6ORtf99brvI3/Tf8tr38SF3HCGjMEl8gWXyBcc6/ngi28ZzS0tMdlJgDX8J0H7b987L2l+cGg4JalbdibObbJDL+dllzMItJaOzvyeZz9vRNKIpK+UthdyOXPk4INbzhwZHVicnopnFhfj+UwmnlmYf0F6bvZHZk5MaOLQsA5++YvpcDQ6GonZ9fBaOjpTXVv7UjtvuOlIa1d37mLbFW1tvejHAmtBxuAS+YJL5AuuGRNq+Pf55eiRq2CM6fQ8b7bW7Vhv/tDLjbKzXnbLLnw+o4APvbwQJx4/3D3x2KGB+TNn4pmF+YFcJh0v5HLxYqHQV7ZbIRSOHI3Eoqloc0uqub19pKNnc2rb3qeMbNy+Y2HV53jovrYtN9yy6n7AxSJjcIl8wSXyBcd6PvoT3//tuYljgZkdlR65an2y15YFyv7b92YlTUiaGBwabpO0WXboZbNsL+SsrqChl8vZcvXu6S1X775f0v3l22dPnmgef/jBgdmTJweW5ufiufTSQD6bjWeXlp67MDUZOXNkTCP33SsTCp2K2GGaqaa2tlT7hk0jm6+6OrV197VnStfhHbvvnh7+SMElMgaXyBdcIl9wLT0z1SfbkREIFHLVAj9b0v7b9y5ISg0ODY9K6pIddrldUkjSgqTFGjav7nRu3pJ+yuYtw6pYQDKzMB8Ze/CB7dPHj8YXZ2cGskuL8XwmO7A0N/uypdmZ1unjxzT+8IMyxsyFo9GRSKwpFQqZ4/d+9tOPbNy+Y2TnjU89Fm1qKtbotBBQm3bvna51GxBc5AsukS+4Fm1pC9T7fAq5as2r7xIM+2/fW5Q0JWlqcGj4kOzQy37Z3rrSrJeMVz+Pprb2/O5nPWdU0jkXZhcLBR19+KHNp0ZT8YXpqXh2cWEgl8nEM4sLz/WKxU2Ls7OaOPyoHv7qgWw4Eh2NxGIj0ZaWVEtHZ6pry9bUzhtuGmvbsDFQY7hx+aSnJmO1bgOCi3zBJfIF1wq5bKDe51PIVWuvdQNqYf/te3OSTkg6MTg03CqpV3Ypg27ZYm5W9ro6rCIUDmvnjTef3HnjzScl3V1+390ffP/1LTvi4fkzp+Pphfl4Lp0eyGXST8ksLvzA/JnT5tTIE3rs7m8WQ+HwsXAsloo2NY80t7enOjb1pvquvS7Vs6t/vkanhQaxcPpka63bgOAiX3CJfMG1Yj4XqPf5THZSoVHXkXNhcGjYyA697JNddDwiO/SS8esX6Xxr5MxPnmk68tADu2ZOTMTT83Px7NJSvJDNDBTy+X5J0dJ+JhQ6HY766+G1tqVaN2wY6e2Pp7Zfd/2py7keHuoX6zDBJfIFl8gXHGMduaALwjpyLgwODUdkh17uktQj2zs3pwAs13A5XegaOdmlxfCRhx7omzo6Hl+cmYlnlxbj+Wwmns/lBuR5Zz9VMmY+HImORJuaRmItLamWru7Uxm07UjtvvOlYrKW14ORkUJdYhwkukS+4RL7gGOvIXQHojVvG/tv35iWdlHRycGi4RXbo5YBsjx1DL9eoqaMzcyH7x1paC1c/41njeobGJQ2VthcLBR179OGeUyOpgYWpyXhmYcGuh7e48Kz0/NxLZ0+d1InHDumRr385F45ExsKxWCrW3DLS3NGZ6tq8JbXzxptH2zduuqC2oDFcaMawsuzSYviuj374zen5+Wc0t7ff89xXv+6v1/PDkWKhIK9YNMVi0XjFgvG/l1csGknyikXjeZ7xikXjFYsqekXjFf3b9nvlM+nIw1898IbM4sItze3t33nuq3/mr1x9gEO+4BL5gmsmFA7U+3x65CoYY7o8zwvMtKQu+UMvO2WHXu6U/WBgUXbRcSzj+Pfube+7+Vanr8/psdH244ceGZg7fXogszAXz6XT8Xw2Gy8WCqWZSSXJC4XDx8PRWCra3Jxqbmsbad/Uk+rbszfVO3BV4JbfuJJcjowF1cLUZGz84Yd2zJyY6F+am+3PLS3tyiwuPMsrFnslGX+3jIwpnwTKnPNl/6aaii9V/Fu+3YWCjFkyxqRLXzKhjAmZtDEmY0woY0KhtAmFMiH7b9qEQulQOJwJhcP+v5F0OBLJhKPRdDgay0RisXS0uTmdnZ6MbLp6z5nmjs5MW3d3prxgdF30Ivj4/QXHev7xx15w9/zJicDMjkohV4GhlRfHH3q5Qbag2yy7Jt2cJD5dK1PLYSMLU5OxIwcf2DUzMTGwNDc7kEsvxfPZbLyQy/VLairtZ0KhyXA0OhKNNaVirW2ptg0bRnp2DaR2XH/jCa7Dq38MTVpZIZczRw4+uGVyfKx/cWZ6V2ZxoT+fyfQXcrn+YqHQp7ICy4RCpz3Pa5HntZVtO9PS0fklnV1305PkyZgnbxvJk5Ennd1WftuUHmsf8+SXMUblt8uO6T/G+Mexjzf+42dPnXyVVyz2lbXxVEtH54FisdjkFYvNnlf612vyil6zvGKT53nNpS95XpPKrsW9QHn5xaJXLDbJThhmJBWiTU33bN197d/tuOGmw5t27OLNOVbF7y84FrihlRRyFYwxGz3Pm6x1OxrZ4NBws+x1dHFJbZLyskMvr/hPZo985xudO297Xl31eOUymdCRh77XNzl+JL44Mz2QXVocyGcy8UIuF/c8r/PJHY1ZDEeiI5FYzF6H19mV2rBt+8iuG28eb2prz9fwFFCmHjNWC6dGnuicOHyof37ydH83jcsAACAASURBVH96YX5XLp3uL2Rz/YV8bqfKPriwuY6MRWKxkWhzy1hze/tYR8/mkb49e49s3L5j4St/99f/c2Fq8lWyS9Ok2zZs/OgL3/jm99fqvJazHm3MZTKhhenJpvTcXFN6fr45l15qzqWXmvPZbFM+m20u5PNNhVyuOTM30x1uai4WC4Vmr1hs9v9tKhaLzZn5uRd6nte93PFD4fCxSKzpUKy19XBrV/ejPf0Dh/tvuuVYOBrlTQiexO8vONbzkR+5/d7FM6fO1Loh64VCroIxZqfneUdq3Y4g8IdedkjaKjtJSkTSkq7goZfD//5PW/a+9CdO1Loda1EsFDTx2KGNJ594LD4/ORnPLM4P5NN2ohWvWNhStms+FIkcicRiqWhz80hze0eqs3dLauf1N450bt4SqLHojaCRMnapFqYmY+MHH9w5c/LELn8oZH8+m+kv5PK7PK9YXlDkQ5HI0XA0OhZtah5tam0bbduwYax34KrRvj17T6/U0+wPFxxMz8/fZq8/e93+ehsueDnbuFK+KgvKls6uz3Rv7fvW/NTknuzCwp5cNrOnmM/vUmmItzELkWjscLS5+VBzR8ehrs1bD/fffMvjHT29/N64Ql1Jv79QEz13vuQZj2Tn58Zq3ZD1QiFXgaGVbgwODYd1dujlFl2hQy+DMmxk6vix1qOPPDQwd+pUPD0/F8+l0wP5XDZezOd3SHryXXEoHJ4IR6OpaFNzqqmtPdW+cePIlmv2pLZesycw49PrTVAyVlLI5cyRhx7YOnn0SP/itD8UMpvpL+Ryu5YbChmORkcisaaxWEvLWGtX90j31m1jO2+48Ri9xutjpXytpaCcO32qefR79109c3Jid3pubk8und6Tz2V3lw1fLYYikbForOlQrK3tUPuGjYe2XLP70LZrn7JiwY1gCNrvL9QdhlYGHevIuTc4NNwkO/RyQLbHriBpRlfA0Mugr5GzNDcbOfLg93ZOTxyLL83OxrNLS/F8NjNQyOUGZD+llyQZE5oOR6MjkaamVFNra6q1e0Nq045dIztvuGmCoVaXplEzdvKJx7pOPP7Yrrkzp/szC/P9uUx6VyGb7S/k88sNhRyNxGKj0eaW0eb2jrHO3t7RvmufMrahb9ti7c7gyuAiX4Vczow+cN+206MjexZnpvdkFxd357OZPcVCYVtpHxMKTUWisUPRlpbDLZ2dj27Ytv1w/JZbRyjQg6VRf3+hYbCOXNDRI3d5DQ4Nlw+9jCrgQy+v1E8bS70qZ8bHBhanp+KZxcW4fx3ewDlD4IxJhyORkUjMXw+vszPVvXVbaueNNx9p6ejkDdsa1HPG5ifPNI0//ODO2ZMndi3Nzvbn0un+fDazq5DL9Xue11W2az4UiRyNRKOjkabmsaa2tpG27o1jvQPxsdWGQsKty5mv02Oj7UcffnD33OlTe9Lz83tymfSeQi53taSYv0suHI0+EW1qPtTU1naoY1Pv4e1Puf5Q78BVs8yg2Zjq+fcXAiFwPXKsI1eNT3Qvo/23752TNDc4NPyEpG5JO2QLOyM79DJQvaMtGzYE6nzWKhyNegO3PP34wC1PPy7pW+X3TTx2qPvEY4fi85OTA5mF+Xguk47n0ktPzSzM3zF3+pROPvG4Dn1zqBCKRMYj0bPX4XX09qa2X3fDCL0w56pVxsrfOMdamh/p2tI3lJ6b3ZlZXNzlD4XsLxYKpf/bkuzsiuFodLS5veO/Yq2tYy2dXaMb+raP7rj+huP0tNSny5mvnl398z27+u+TdF9pW3ZpMZz67r39U8fG9yzNzuzOLi1dm1lceE56fu5lMycmNP7wgzKh8ISMcp4dehtZmJq85q6Pftirt0lqUO1K/RuJy8eEI4F6z0CPXAVmraw9f+jlJtmhl52ys17O+f82NGbkWrvpE8dbjj58sH/21Il4en7+yeUSinao3ZMfQplQ6GQkGktFmptSTa3tI+0bN6Y2X3VNaus1eyZD4XBdr22Vy2RCufRSOJteiuQz2XA+m4kUcrlIPpuNFPK5cCGXjxQL+XAxn48UC4VwsVCIFIv2X69YjPj/hr1iMVIsFsOeV4xk5+faI82tOc8rhr2iF/G8YsTzvIg8L+x5XsTzimEVvYjn35b8fz2ds1/Z9rAn+6/kRZbfprBXLHRKaqk6SWMWwpHoaCQWG4s2N482t3eMdvb2jjEUsjHV6++wY48+snHi8KN75s+c2ZNZXNiTWZh/gcqGc8uYue6tfe/fdu1137rq1meO16yhWFG95guBwayVQcfQyvoyODTcLjs5Sr/scJq07NDLhgwuw0YuXWZhPjL24Pd2TB07OrA0OxPPppcG8plsvJDPDcjzWkv7GWNmw9HoSLFYbC7m81fJFn+5aHPz3W0bNn7D87yIVyyWFThe2PP820Uv4skLy/MinqeI/PvlnbO97LYiKxU5Utl22ePJTgrjclHo8ynIrv1VMP6/kvLG/1fm/7d379GRnWed739vVal0v6tv6m53tx3HiuPEdmI7vkQhpsLg4RYuwwCBBIZhLDjDObDMnZwzcA5zzlxgFjMMLFBmgiFMmBCYFTIZgmfIxsZybMcOju3Yjtp22+6b1DeV7vcq7fPH3mVVq9QXq+vpXfXq+1mrVkuq0tazW7+urqfed7+vK6x/3RWcUzH6mivKlb7PFeRUcM69+fny/NxgGIY9pR+SymReu+W+7/ip3dffMMFUSH/Uy3NYvILmRxRdX1mUNK/ojUGl0unjja1tj3fu2v3E2+96/1dZXbd21Eu+ULe8m1pJI7eBc64zDMPppOvA+YZGRlOKpl7ulVRaqW5OdTb1cvy5r7btufk2b68BTNJasagTL35917ljbxyan5w8uLIwf2h1ZflgYXn5Zl3+NPKCVGpcoj8lFV3851abHDlXdM5FzVL8Z3x/waVSb37uXKroUqU/UwWXctGfLlVIpdMFl0oVU6lUwaXSxVQ6XUil08VUJvoznWkopNLpwuLEmcbOfQdn0g0NxYbGxkK6IVvMNjcXGhobiw1NzQWrpqoe9lvDlauX57DNVtA8/sLze8YPj949Pz159+rS0m0KwyZJqw2NTc80d3Y+seu66x+//s57XuONh+TUS75Qt/o+/X0f/MrcmVPerJxNI7eBc+5AGIa8G1TDhkZGs5J6FE297FL0buuM6mDq5Ut/+ZndN373D55Kuo7tZMM788vNHZ2fu/GDuU9mstliprGp0NDYWMw2Nxcy2caiDy/gkspYPey3hivny3PY/GQ+e/jxkVumxsfuWp6bvatYKLxNklwqfbqxtfWJjh07Hr/2tjuf6rvmAE3FVeRLvlCz+h6877bDK/NzbyRdSLWw2Emlpks/BEkaHhxYkXRK0qmhkdFWSTsVTb1sUrQv3axqdOrl8uxM46UfhWq65yMf+4Mv/+mnwu3SYCSVsWxzSzEegWMUzmO+PIe1dvesvOfbP/yUpKck/YfjX39u5/EXnr9rbnLirqW52Q8tzc5895nXjhQz2cavN3d0PN534NDjA+//psNsj2LLl3yhdoVrRa9e5zMitwH7yNWneOplp6R+RdMvnaJrImpqrxD2yIE1MgZL2yFfK4sL6dGRR27Knzh+1+Ls7N3F1ZUbpWgvu2xzyxPtvX2PH3zPbU/uftvbvZmeVSu2Q76QKPaR8x2LndS/oZHRBkVTLw/Ef64pmnq5mmRdEhdywx4Zg6XtmK/xl0e733j27++cm5i4e2Vx4a5wba1LUphuyH6jub398Z59+58YGPzgCz6P9F8t2zFfuKq8W+yEqZWVmA9f54YHB1YlnZZ0emhktEXR1MuDiq6nW1E09XItidpa+3ay3DpMkTFY2o752vP2gck9bx/4a0l/XVxddaMjjwycO/bG3YszM3fN5Sd+fC4/8RPHvv7cXLa5+cm27t4n9t/07if2v+vmM0nXXY+2Y75wdaUyDV69zmdEbgPnXG8Yht7sL4HI0MioUzT1co+iTcfTiqZeXtX/NI49+WjnNXd+gFVRYYaMwRL5Ot+5o6+3v/bVp+6YOXfmruX5+bvDtbWdkpTOZF5tbGt/ontP/+M3vP+bnm3p7Ep8Rkg9IF+wUNpPdmVx4a7l2dmHUg0Nv3Dy85+q+QXyLgcjcpX6JNHIeWZ4cCCUNCVpamhk9BVFUy6vkbRDV3Hq5cQro138JwVLZAyWyNf5+g4cmu07cCiQFKwVi3rliceuO/3aq3ctTk/fvTA1+YMLU5MfPTn60lJDU9PTrV3dj7Mh+cWRL2zF7LmzTeeOHe2Zz0/0LM7N9qwsLvQUlpd7CysrPcVCoXd1afGmcG1tlyTnMpmDit7E/3iyVVcHI3IbOOc6wjCcSboOXB1DI6PNipq5Q5KaFTVzMzKaenn6ha+17rrp1nmLYwMSGYMt8nX5pk6PN7/65OPvnT596u7l+bm714rFfRIbkl8M+YIU7Qs7dWq8dfLkiZ65yXzv8vxsz8riYk9hZaW3uLrSXVwt9K4VCz1rxWLv2tpaj8KwZbPjOOdmXTo9sVYs7lAYtpbd9ZWTn//UnVfpdEwxIlepV9ELeWwDw4MDi5KODY2MHpfUoWjq5X5FUy8XFE2/rJqzh1/s5D8pWCJjsES+Ll/Xrj2Lt334+x6T9JgkHXn6yX2lDckXZ2c+vDgz/QOnXjnMhuRlyJe/iqurbuL40Y6pU+M9C1NTvUvzcz2ry0s9hZXlnuLqak+xUOhdKxR7wrVi71qx2K1o79eNQpdKTaVSqXwqnck3NDW8kM405NPZbL6hsWki29w82dzeMdHetyPfd+BgvjSlOd5P9ockNYVhuOScC67qyRuikauUTboAXH3x1MtpSdNDI6OvSurW+VMvZxUtlHJFVhcWGq70GMDFkDFYIl9bd93td5647vY7Pyvps2Ubkt+9PDd718yZ0z87c+b0z776lSe29Ybk5Ku+rC4vp86+fqR7+szpnsWZ6Z7lhfme1aWl3uLKSk+hsNqzVij0rhWLPWvFYk+4ttatzfuOokulJlPp9EQqnc6nGrOvZ0rNWVNTvrGlNd/c0TnRuXNXvu/AwamtrA5b2k92ZXHh7qXJib9LN7f+2pWffW1gauUG7COHckMjo02KmrmDkloVTb2clbSlZabZIwfWyBgskS8bx55/dteJF5+/a24yf9fK4uL7FIZtks7bkPza997x6pN//qdDS3Nztze1tT19z0c+9ge+bXlAvpK3ODuTOffG6z0z5872LM7O9K4sLPSsLkfNWbGw2rNWKPasFQs9a2trvfFWHG6Tw6yk0um8S6UnUpl0Pp3O5NMNDflMtnGioakp39Talm/p6pro2r0n37v/wEy6oeFqNSPsI+c79pHDZuJVL9sVbTi+T9G7Sot6i9tVsEcOrJExWCJf9pbn5zKjjz16U/7k8buWZmfuLq6uviO+a0lSg6Kp/6uNbW0PvfPeb/mPu9/29rwv0zHJl43SYiBz+XM9S7OzvdH1Zsu9hZWV7mLhzevNesJisTcMw/ZND+LcQjSlMZ1PpTP5dCYzkc5m85lsdiLb3JxvbG3Pt3Z157v37s1379k7V6OZZB+5jXK53PdL+nVJ75B0RxAEX73SYyaM6+NQIZ56OSNppmzVy/2KRutCRQ3d8qWO0767n7n/MEXGYIl82WtsbSvc/K3f9qykZyX9fmlD8vzxYz8XhmFT/LCG5bm573zmC5/7Tjm3lEqnx9INDWOZhuzJbHPzWGNr28n23r6xnde9bax33zV1Mz2TfF2etWJRk+Mn2yZPnuyZn8r3LM/PrS8GEq/UWGrOLmcxkFQ6nc9kG19NZzJfyWSz+Uy2MZ9tbs43tbdPtPX05fuuOZBv79vhxWy1VEPWq9f51bhG7gVJ3ytpuArHqgVe7CsBO8ODA0VJZyWdjade9kk6oKipKyhq+Dad7pJpaiZfMEXGYIl8XX2lDckf/uQfXFtasEHSSral9ZGWjo7nVhYX+wsrK3uLhdX+xaWlWxZnptsk6cxrr+rI00/KOTeTymTG0g0NJxqyjWMNzS1jzR0dJzt27Brrv2FgvLW7p2amMm7nfBVXV925Y290Tp0a71mcnu5Zmp/rWV1a6imsLPcWV1d7isVC71qh2B0vBtKjzdd0KC0GMhEtBpJ9IZ3JrC8G0tKSb27vmOjo25HvO3go39zese3+vlOptFfnfMWNXBAE35CkXC535dXUhh5FL9KBSxoeHFiSdGJoZPSkoqmXuxWN1DVok6mXk28c6Tw4mJu66oVi2yBjsES+klNasGFpbu6Opra2p+75yMeGN14jt1YsauL40Y4zr7/WP5+f2Ls0P9e/urS0t7CyvLewsnL9ysLCN2lqsmFq/KTGD39Dhx97RC6VOpvONJxMNzSMNTQ2jmVbWk+2dHaOde3Ze3LvO955pqGx0WQ7ns34lq+VxYX0uaNvdMWLgfTGi4FEI2eF1e6yxUBK15tt9rq8ULYYyOSGxUAmGlta8y2dXRMdO3ZObnUxkO2ksLzYI+lM0nVUS9Wukcvlco9I+vmLTa188MEH75d0vyRNTU19+oEHHviipHFFS/5nJR1VNLIxo2hko0fSSUm7JKXij/cr2thZkrokHZe0V9HKgqfjj/OK/jF0lB1zRdFG33sknVP0jlZb2f1L8XGvjb/WKqml7P7SUvQ7JJ2Kf3ZT2f1z8TH6avCcditqTjmnq3BOzT07sjsGbtp31z//xXDs2aff1dDcstq5/8D4iaceb2/s6FzKZBvX5s+dabn23vvGX3v4oT2N7R3L3YfeNnfq+Wd6+264cXL+zHjz4uRkU+n+5u7updadexbPHX6pe/e73zMx+fqrbcuzM42l+1v7di40dfesTLwy2tV/6+3nzh5+sXN1YaGhdH/77v75TFNzYfKNI5377rjnzPhzT/eGhaLbf9cHzh597OFdnfuumZWk6RPH2g+8/97Tx594dIfLpMM9N98+ceKpL+/sPnjddGFpMTN7aqy1dMyGlpbVHTe8c3rsa0/39V4/MLU0mc9yTrVxTmdffqnnxg//4Bs+nZOPv6d6PaeuA4emZ04ca/fpnHz8PV3onFYW5hsmjh/bl92xOz11/OiNa6H6wlSqu7C8dE0o1xeure2I/88rKbhU6rSTJjLZ7LGUcxOpcG2i+8C1Ly2fGSt27txxpm1Xf9XO6fW/+1/9jW0dK7X8e2rs6lktuFTL9Inj12Q6Ot3i1OTeYqHQk2psalhZmO+XS7WHa2tda2trPYre4N1sMZBVJ02lMplzCtfmnUtNNjS3jIfLi6vZtvbxdDo1Ey4vLe97z/sO5196ti3b2rpS79mrhX9P6Wzjzqc+8dufX56eLG01VhOvYa9kbY7LauRyudyX4h+60ceDIPh8/JhHdIlGrh44564Lw/BI0nXAD0Mjo41an3rZ8fJDf7nz7fd992ExhRdGnv/sH+179z/+sRNJ1wE/kS+/Lc7OZMYPf2P31OlT/Ysz0/0rCwt7CyvL/cXV1b3FQqE/jJqTdc4tptPpsVRDw1gmmz2ZbWoea2prH2vr7Tu567rrx3r27ntL17wlla+ZM6ebzh0/2jufz/cszZU2n17uLayv1Ni7tlbsCYvFnstYDGQilc7k0w2ZiXRDNp/JZvOlxUDaunsmuvfuy3ft3jNfo4uB+K7vD7/1vUdWF+ZfTbqQarmsqZVBEHzIupAakrr0Q4DLMzw4sKzo3Z2TQyOj7fnXXr5D0TswWUXvzMwpWiwFqIqwUNzs3V+gKsiX35rbOwrX3va+E5I2baamTo83n37l5f7Zc2f7F+dm965G1+f1F1dX9y4uLb1ncXq6dfr0KZ0+8oqOPPWEnEtNxdfnjTU0Zk9mm1vGmto7Tnbu3D3WP/CO8dKGzSXVytdasaj8yRNtU+Nj0WIgc3O9K0uLPYXl5d7C6mrPWqHQU7YYSK/CsHmz4zjnZlw6nU+l0xMN2caXU5lMPpPN5jONjRPZ5pZ8c1t7vq23b6J3/zWTviwG4r0w9Op1/lWdWlkPnHMtYRguJF0H/OSca7n/0W8sKdpwfK+ikW6n9SmfwBXJv/5KU8+h68kSTJAvXMhasahzR1/vPPvG6/1zkxN7l+fm+1eXSwuxFPrXCoV+RdePl4Tx9Xlj6WzDyYbGprFMJn2mrW/X0e7+vWN9Bw9NPPUXn7m/tG/end//keGZs6fbpk6N9yxMT/Usz8/3ri4t9hRWVnrKFgOJN5++6GIgk6lUOlpGPxMtox81Z00TjS0t+ab2jvx2XgzEc32f/ei3Pzb5xhFvVke94kYul8t9j6T/qOiapClJzwZB8K1VqC0R7CMHSxvzNTQymlV0nd5BSZ2KVrsszdsG3jL2YYIl8oWtKq6uurHRl3bkx070L0xN7V1emO8vLC/vLayu9BdXC/3hWnGXzr+ebC3+3JV9vtloSvliIPl0piGfbshMZLKN+UxjY/7NxUB27srvOHjt1NVcvAU1h33kNgqC4HOSPleFWmqFN6sloSadl6/hwYEVRYuujA+NjLZJ2qnoerpGRfvSzYqpl3gLShedAxbIF7Yq3dAQ7n/XzWf2v+vmM4r2yDvP4uxM5hsPfWFAza2tizMz/VOnxu6PF1+RJLlUaqJj564/zjY1TzS2tuZburonuvf053v27p9NNzTw/yQuSzrb6NXr/GrsIwegCoYHB+YkzQ2NjL6haJWk/viWUjT1cjG56gAAsNPc3lHo6usdu/be+/KS9PAn/6C/bN+8pZbOri8M/sg/+UyyVQK1hUauUpeipUUBC5fM1/DgwJqiZW3zQyOjhxVNvSxtOL4maVpMvcQFTJ841q4oP0DVkS9YKs/XZvvmJVwePFBcWe5StD2VF6q22IkvWOwElq4kX0Mjo61an3rZpGi/khkx9RJlWIwClsgXLJEvGPNusROvluCskr1JFwCvbTlfw4MD88ODA69L+jtJX1H0jlK3opG6luqUh3p3/IlHd1z6UcDWkC9YIl+wNnd63KvX+UytrMRqRrB0xfkaHhwIJU1KmhwaGX1FUo+ka7Q+9XJG0uqFjwCfuUyaEVqYIV+wRL5gzjmvXufTyFXi+jhYqmq+hgcHVuNjnh4aGW1R1MwdVHQt3qqips6rJy1c3J6bb59Iugb4i3zBEvmCtebuXq9e5zO1spJXQ66oOWb5Gh4cWBgeHDgq6VFJT0oaU9TQ7ZDUavVzUVtOPPXlnUnXAH+RL1giX7C2mD/r1et8RuQqsRoXLJnnK556OSVpqmzq5X5FC6UUFe1Nt2JdB5LRffC66aRrgL/IFyyRL1jLNDZ79TqfRq4SfyewdFXzNTw4UJB0RtKZoZHRZkWjcwckdYqpl14qLC3yHAYz5AuWyBesra0VvcoYUysrdSRdALyWWL6GBwcWhwcHjkl6TNITkk5qfeplW1J1obpmT40xjRZmyBcskS9YW1td8ep1PvvIbeCcawrDkD1MYKLW8jU0MprW+VMvQ0VTL5eTrAtbN33iWLZz3zVMnYUJ8gVL5AvG+v7bP/3eR8+9/NJi0oVUCyNylQ4kXQC8VlP5Gh4cKA4PDpwdHhx4RtIjkl6UlFY0Stcdf4w68trDD+1Jugb4i3zBEvmCtenjr9fU67Ar5dU80SrhnSBYqtl8DQ8OLEk6MTQyelJSu6Tdivany0halDSXYHm4TA0tLewhCDPkC5bIF6w5l6rZ12FbQSNXiT1MYKnm8xWvejkjaWZoZPSIopG5/ZJ2KZp6OSepZqaH4nw7bngnq77BDPmCJfIFa40dnTX/OuytYGplJYb1Yamu8hVPvTw3PDjwNUkPS3ohvmuHomvreDOoxox97em+pGuAv8gXLJEvWFuanqyr12GXwouwSueSLgBeq9t8DQ8OLCta6fLk0Mhou6IRugOSGhSN0M0mWB5ivdcPTCVdA/xFvmCJfMFaQ3Nr3b4O2wyNXKWmpAuA17zI1/DgwKyk2aGR0dcUTb3cp+iaOqeooWPqZUKWJvPZpGuAv8gXLJEvWCuurnjxOqyERq4S+2nBklf5Gh4cWFN03d/E0MjoNyT1SjqkaOplUdG1doXkKtx+5s+daUm6BviLfMES+YK1tcKqV6/D2Edug1rb5wt+2S75GhoZbdP61Muson3pZhUtlgJD7MMES+QLlsgXjLGP3Dbg1f4SqDnbIl/DgwNzw4MDRxTtTfeUomsDexWN1DUnWJr32IcJlsgXLJEvWGMfOf95P1qCRG2rfMVTL/OS8kMjo4cVrXR5UFFDtyZpWky9rKrG9o7lpGuAv8gXLJEvWHOptFevw2jkKrFiEixt23wNDw6sSDol6dTQyGirpJ2KRiibFG2UPiOmXl6x7kNvY+N2mCFfsES+YC3b2ubV6zCmVlbanXQB8Br5kjQ8ODA/PDjwuqRHJX1F0mlFo3U7JHGx+xU49fwzvUnXAH+RL1giX7C2PDvt1eswRuQqnU26AHiNfJWJp15OSpocGhl9WVEzd0DRaF1p1cvV5CqsP3033DiZdA3wF/mCJfIFaw0tbV69DqORq9Sq6JoewAL5uoDhwYFVRSNzp4dGRlsUjc4dktSlqJmbUXRdHS5i/sx4s6K/K6DqyBcskS9YKywvtSraNskLNHKVmNYFS+TrMgwPDixIOjo0MnpMUqekPYo2HU9LWpA0n2B5NW1xctKrzU4T4hRlLa3oEoR0/DVp/TrO8j83+1r5feXXfl7svppHvmCJfMFaWCx49TqMfeQ22C77fCEZ5GvrhkZGM4qmXl4jqU/R6NysooVSEGMfpjeVN2EbP3YX+T4pWkl1VVG2Srdi/H0uPlb5n+4C9+ktPP5SNW1FGNddiP8sKvp3s+WVYskXLJEvGPNuHzlG5CodkHQ46SLgLfK1RcODAwVJZySdGRoZbVY09fKgohE7pl7GXnv4oT23fvT+o0nXUQWlUbELNWOXUt6ErSralL7881JjU9j48fDgQCLvcA6NjJaaufLGzl3g883uK/39y6dMDQAAIABJREFUZOJbg6JVYbOSGuNbc/x5+TE2nm9xw62g6N/Wmkf5Qg0iX7AW7yM3mnQd1UIjV2kh6QLgNfJVBcODA4uSjg2NjB6X1KFo6uV+Rc9pC5K27RLWzd3dtTTim4pvmQt8fDFrWm+8FnV+Y7asizdixWqfyNVQ1kCaN5JDI6PlDV/pVvpaqekrbwKzkjJdB65tVjQivtGazm/+SqOYwGWrsecveMilM169DqORq8S1N7BEvqoofuE7LWl6aGT0VUndihq6nYpeDM8qetHvk41T80pfS0lyHfsOrCkadbnQSM5mX7PYiiZU1FiVRsBKDdhq2Z8Xa8a2/eiqpbjZLeot/PsYGhlNfe1PhvsOfeBDs6psAhu03gA2KlqkqEFRgzcviRfouKTWnXu8mfKG2pRpbPLqdRiNXKUdYlVB2CFfRuKpl2clnR0aGW1SNGpwSNHfeUHR1Mvy65wu1uRczmMu9DVLoeIpbpvcQknFMy8+39p/yx1nyx5b3ORxF/p6+W2zr13uragEpyjCxvDgwNonDr/QPTw4cOZSjx0aGU1JalPU0PUr+vfoFDX087qC6/Tgr3OHX+ref8f7WbUSZlYX5nbIo1UrWexkA+dcZxiG00nXAT+Rr6srvuaoXdFG7KWpl+UNzKUao41fK27y9aIu3fRstSl68/sutykiY7C01XwNjYxmFU2D3qHo32OjonwvKJo6C2j8ua+27bn5tm07NR7m+j79fR/8ytyZU1NJF1ItjMhV6lI0VQuwQL6uorj5mYlvLydcztVCxmBpS/kaHhxYkXRO0rmhkdFRRXtqdim6vrV0zV1B0fWtjNZtU5Ovv0ojB1Mr83NdkmjkPMYeJrBEvmCNjMHSFecrfoNlLr6dGBoZbVA0WtenqLFrUjQSvSAWiNpWlmdnGpOuAX4L14pe/R/J1MoN2OcLlsgXrJExWLLOVzwdukXrq9H2KVqMZ1XRtXWrVj8byWMfORhjH7ltgH2+YIl8wRoZgyXTfMWjdfPxbXxoZDSjqKnrVdTYdcYPXYofw7vRHmEfOVhjHzn/MTcblsgXrJExWLqq+YpXo83Ht1eGRkbLR+t2KBqtKyhq6hjJqXOtfTuZSgtTqUyDV/9H0shVYkoSLJEvWCNjsJRovoYHB0rXzZ2KNzVv1/po3Q5FI3RL8WPYi7DONHX30IzDVLoh69X/kTRylfrk0f4SqDnkC9bIGCzVTL7iTc2n4tuReP/ITkm74lta0fYgM2IlzLow8cpo1zV3foBVd2FmdXG+T9EKul6gkas0nnQB8Br5gjUyBks1m6/hwYElRaNxp+MNydsVNZ77Fa2EWZA0K5q6mtV/6+3evMBGbWrq7K7Z57CtoJGr1Kvo3TvAAvmCNTIGS3WRr+HBgTVF+91ND42Mvqb1zcj3K9qMfFVRU1dMrEhUOHv4xc5dN906n3Qd8NfyzHSvPNprlUauUjbpAuA18gVrZAyW6i5f8UqYpabuiKLplzsl7VN0PjR1NWJ1YaEh6RrgtzBcq7vnsIuhkavEsrewRL5gjYzBUl3nK27qpiRNDY2Mvqr1a+r2KXpNtKKoqWOhlARce+99Xk17Q+3p3H+orp/DNkolXUANOpB0AfAa+YI1MgZL3uRreHBgbXhwYHJ4cGBU0t9KekrRNYBdiqZhdkhyCZa47bz28EN7kq4Bfov3kfMGI3KVan7uP+oa+YI1MgZLXuYrvqYuLyk/NDL6sqJmbrekfkWrXy4p2kOPDcgNte/u5/o4mEo1ZL16DqORq8RqVrBEvmCNjMGS9/mKtzWYkDQxNDJ6WFFTtye+pSQt6ipvjL5dZJqavc8XkpVKpb3K2BU3crlc7jclfaeieeVHJP2TIAimrvS4CeqRdDbpIuAt8gVrZAyWtlW+hgcHCor2nDo3NDL6DUndikbpdiuadklTV0WTbxzpPDiYq+fXkKhxheXFHklnkq6jWqpxjdzfSLopCIJ3S3pZ0q9U4ZhJOpl0AfAa+YI1MgZL2zZfw4MDheHBgbPDgwPPKbqm7hlFU037FF1T15pkfT7Yd8c93rzARm1q7tnh1XPYFY/IBUHwv8o+fVLSP7rSYyZsl3h3DXbIF6yRMVgiX5KGBwdWFb2rf2ZoZDSraKRur6JtDUJJC/ENb8H4c0/37rjhnSeSrgP+Wpyc2KVoZVovVPsauR+X9GcXuvPBBx+8X9L9kjQ1NfXpBx544IuKVojqVbSXy1FFK2LNKJqH36Po3b9dikYPTyrazLM07N4l6biiJ881Safjj/OKzq2j7Jgriua871E0TaJJUlvZ/Uvxca9zzk0qemetpez+BUnzit51OxX/7Kay++fiY/TV4DntVjQVhnNK/pw6nHNLnp2Tj7+nej6n65xzJz07Jx9/T/V6Tlnn3PWenVM1fk9dkiYO3HPv8XRj09sHvv37GgtLi+9YnJps3Hf73a+/+jd/1dXc3b3UunPP4rnDL3Xvfvd7JiZff7VteXam8dp77xt/7eGH9rT27Vxo6u5ZmXhltKv/1tvPnT38YufqwkJD6f723f3zmabmwuQbRzr33XHPmfHnnu4NC0W3/64PnD362MO7OvddMytJ0yeOtR94/72njz/x6A6XSYd7br594sRTX97ZffC66cLSYmb21Fhr6ZgNLS2rO2545/TY157u671+YGppMp+dP3empXR/Y3vHcveht82dev6Z3r4bbpycPzPevDg52VS6v9rndO7wi3ue+9NPenVOPv6e6vWc0tnGnWGxeNI5d0MCzxEXfN4Lw/CwtsiF4aUXYMrlcl+Kf+hGHw+C4PPxYz4u6TZJ3xsEQd2u6uScawnDkHfRYIJ8wRoZgyXydfmGRkabFI3UHVD0YjDUegOKTeRff6Wp59D1/P3ASt9nP/rtj02+ccSb1VEva0QuCIIPXez+XC73o5K+Q1Kunpu42H5JW+6MgUsgX7BGxmCJfF2m4cGBJUWjheNDI6PNit75P6BolHFN0YgjTUuZo489vKvn0PVebdiM2jJ3emy/pNGk66iWaqxaeZ+kX5L0TUEQ+PAuHaslwRL5gjUyBkvkawuGBwcWFU3ZOjk0MtqiyqZuVtG0rG2tNEUPsJLONnr1HFaNa+R+V1KjpL/J5XKS9GQQBD9ZheMCAAB4ZXhwoLQQyomhkdFWRdf3XaP1pm5G0mpyFQKoF9VYtfJt1SikhnQpupARsEC+YI2MwRL5qqLhwYF5RVMsjw2NjLYpWrzlGkV/z0VFI3XbpqmbPnGsXdEiEoCJ4spyl6IFlLxQ7VUrfXA86QLgNfIFa2QMlsiXkeHBgTlJc0Mjo0cVrXTXp/WFUopaX2XPWwfefy9vEsBU265+r57DaOQq7ZX0StJFwFvkC9bIGCyRL2PDgwOhopG42aGR0TcktSuadrlf0XLma5KWFS2U4lVjd/yJR3f0HLreqxfaqC1zp8f3Sno56TqqhUau0lrSBcBr5AvWyBgska+rKG7qZiTNDI2MvqZoz6oORdsadMV/llYLLyhq7pbLvlZXXCZdl3Wjjjjn1XMYjVwlhvVhiXzBGhmDJfKVkLipm45vxyVpaGQ0o2gj9WZFDV6puUuVfeuS6mT0bs/Nt08kXQP81tzd69VzGI1cpb1ijxzYIV+wRsZgiXzVkOHBgYLiETvFTfbQyKhTNAWzWVGT16OoweuKv80pWkCl5kbvTjz15Z07bngn+8jBzGL+7F6xj5zXWC0JlsgXrJExWCJfNS4euVuMb3lJJ6Q3R++a41un1pu70mvBUOvNXSIrZXYfvG46iZ+L7SPT2OzVcxiNXCX+TmCJfMEaGYMl8lWn4tG72fh2Rnpz9K5R0chdi9abu86yby0oau6WZXyNZGFpkXzB1Npa0auMeXUyVdIhaTzpIuAt8gVrZAyWyJdH4tG70jV0Fxq9a9f64irp+FtDrTd3VRu9mz011irpXLWOB2y0trrSIWks6TqqhUauEnOzYYl8wRoZgyXytQ1cYvSu1OCVrr0rjd6Vrr3b8ujdtffex5sEMNW5/5BXz2E0cpUOiAu5YYd8wRoZgyXytU1tGL2bVDyqMTQymtZ6c1daObNLUoOikbtQ0oqi5m7lYj/jtYcf2nPrR+/36oU2asv08dcPiMVOvHbRJxngCpEvWCNjsES+cJ7hwYGipLn4drb09aGR0dK1d81ab+76yr61qPWNzdckqaGlJZFFVrB9OJfy6jmMRq4Se5jAEvmCNTIGS+QLl2V4cKA0xfJCo3dtWr/2rkGS+m+9I6PomrxLjt4BW9HY0enVcxiNXKU9ivZjASyQL1gjY7BEvrBlm4zevS69OXrX/LX/8ombcv/it/KKmrterW9sHipaPbOg6Dq8gqIRPeAtWZqe3CPJm20uXBjWzD6QNcE51xuGoVfdOmoH+YI1MgZL5AuWyvM1NDKa0vroXVbrWyS0lH1tozWtN3qlP4GSvj/58Pv/fiF/zpuVURmRq9SUdAHwGvmCNTIGS+QLlt7M1/DgwJqk+fhWIW70GhQ1dKU/y/fEa1G0oqYr+zan9dG98obPdH881I7i6opXz2E0cpXaki4AXiNfsEbGYIl8wdJl5ytu9ErX4V3Q0Mhog85v+BoktWq92WuPv1bOqXIqJ6N7HlgrrHr1HEYjV4llb2GJfMEaGYMl8gVLVc/X8ODAqqJmbOFCj4lH98pH9hoUjQ5eaHSvNLInVU7lZHSvhrGPnP/YIweWyBeskTFYIl+wlEi+4tG90h55m4o3RM/o/JG98qmcpX30yl9blxq+os4f2WN0LyHsI+e/C/4jBqqAfMEaGYMl8gVLNZuveEP00ujeBcVbLGycytms8xu+0uhe+cjeZitzMrpXZS6VrtmMbQWNXKWppAuA18gXrJExWCJfsFT3+Yq3WCjq0qN7DWW3bHwrXbu3cXSvvOErbHLDZcq2ttV9xsrRyFXaLY/2l0DNIV+wRsZgiXzB0rbIVzy6t6JLbHoej+6Vj+xltT66V/qzUdF+e+X7iW22Mif7jUlanp3eLQ/eMCihkat0NukC4DXyBWtkDJbIFyyRrzLx6N5ifNvUhtG9UtNXunavVdGiLV2S0qqcylnUNhvda2hp8ypjNHKVWiXlky4C3iJfsEbGYIl8wRL5eos2jO5tuueeJA2NjGZU2fCVj+yVRvc2Kl0bWD7CV7eje4XlpVZJE0nXUS00cpVaki4AXiNfsEbGYIl8wRL5MjI8OFAacbvU6N7GqZwbV+ZsVzS6t7GZKx/VW1U02ldzwmLBq4zRyFXyan8J1BzyBWtkDJbIFyyRrwTFo3uXs8l6aXSvfO+98pG9zUb3nNancpZvxXBVR/fYR85/7JEDS+QL1sgYLJEvWCJfdeAyR/dSqpzK2aTzG74OrW+yXm7jNgxVG91jHzn/LSRdALxGvmCNjMES+YIl8uWJeJP1yx3dKx/ZK127V7q1xl8vKS3YsqbzR/Yuur/fm9+czniVMRq5She8UBSoAvIFa2QMlsgXLJGvbaZsdO+Cykb3yhu+8mv3ykf3So1e6c/ykT1lGpu8yhiNXKUdYsUk2CFfsEbGYIl8wRL5QoW3MLq3cSpng9Y3WW+RlF+emeqTR6tWujCs2xVETTjnOsMw9H4zSiSDfMEaGYMl8gVL5AvWfMtYKukCalBX0gXAa+QL1sgYLJEvWCJfsOZVxmjkKjUlXQC8Rr5gjYzBEvmCJfIFa15ljKmVGzjnmsIwXEq6DviJfMEaGYMl8gVL5AvWfMsYI3KVDiRdALxGvmCNjMES+YIl8gVrXmWMRq7SXNIFwGvkC9bIGCyRL1giX7DmVcZo5Cp5M9yKmkS+YI2MwRL5giXyBWteZYxGrlJf0gXAa+QL1sgYLJEvWCJfsOZVxmjkKo0nXQC8Rr5gjYzBEvmCJfIFa15ljEauUm/SBcBr5AvWyBgskS9YIl+w5lXGaOQqZZMuAF4jX7BGxmCJfMES+YI1rzLGPnIb+La/BGoL+YI1MgZL5AuWyBes+ZYxRuQqebW/BGoO+YI1MgZL5AuWyBeseZUxGrlKM0kXAK+RL1gjY7BEvmCJfMGaVxmjkatUSLoAeI18wRoZgyXyBUvkC9a8yhiNXKWepAuA18gXrJExWCJfsES+YM2rjNHIVTqZdAHwGvmCNTIGS+QLlsgXrHmVsUw1DpLL5X5D0oclrUk6I+nHgiAYq8axE7BL0lzSRcBb5AvWyBgskS9YIl+w5lXGqjUi95tBELw7CIJbJP0PSf+iSsdNAqOUsES+YI2MwRL5giXyBWteZawqJxMEQfkKMK2S6nlzOq+GXFFzyBeskTFYIl+wRL5gzauMVWVqpSTlcrn/V9LHJE1Lunezxzz44IP3S7pfkqampj79wAMPfFHSuKReRTutH1W0v8OMolVlehT9he9S1HSelLRf0lR8yC5JxyXtVTSt83T8cT4+t46yY65ImpC0R9I5SU2S2sruX4qPe5dz7ilFDWlL2f0LkuYl7ZB0Kv7ZTWX3z8XH6KvBc9ot6SznVBPn1OWcO+HZOfn4e6rnc7rZOfeIZ+fk4++pXs+pyTm34Nk5+fh7qtdzutM5d9Szc/Lx91TP55R1zq3U0jmFYXhYW+TC8PIGz3K53JfiH7zRx4Mg+HzZ435FUlMQBL+21aKS5JzbFYbh6aTrgJ/IF6yRMVgiX7BEvmDNt4xd9ohcEAQfusyH/qmkv5JUl40cAAAAANS6qlwjl8vlri/79LskjVbjuAnpSroAeI18wRoZgyXyBUvkC9a8yli1rpH717lc7gZFc0ePSvrJKh03CceTLgBeI1+wRsZgiXzBEvmCNa8ydtnXyG0XzrnrwzB8Jek64CfyBWtkDJbIFyyRL1jzLWNe7aVQJWtJFwCvkS9YI2OwRL5giXzBmlcZo5Gr5M1KNqhJ5AvWyBgskS9YIl+w5lXGaOQq7U26AHiNfMEaGYMl8gVL5AvWvMoYjVylfNIFwGvkC9bIGCyRL1giX7DmVcZo5CpVayVPYDPkC9bIGCyRL1giX7DmVcZo5Cp1JF0AvEa+YI2MwRL5giXyBWteZYztBzZwzjWFYbiUdB3wE/mCNTIGS+QLlsgXrPmWMUbkKh1IugB4jXzBGhmDJfIFS+QL1rzKGI1cpZWkC4DXyBeskTFYIl+wRL5gzauM0chVmki6AHiNfMEaGYMl8gVL5AvWvMoYjVylPUkXAK+RL1gjY7BEvmCJfMGaVxmjkat0LukC4DXyBWtkDJbIFyyRL1jzKmM0cpWaki4AXiNfsEbGYIl8wRL5gjWvMkYjV6kt6QLgNfIFa2QMlsgXLJEvWPMqY+wjt4Fv+0ugtpAvWCNjsES+YIl8wZpvGWNErpJX+0ug5pAvWCNjsES+YIl8wZpXGaORq+RNl46aRL5gjYzBEvmCJfIFa15ljEau0lTSBcBr5AvWyBgskS9YIl+w5lXGaOQq7U66AHiNfMEaGYMl8gVL5AvWvMoYjVyls0kXAK+RL1gjY7BEvmCJfMGaVxmjkavUmnQB8Br5gjUyBkvkC5bIF6x5lTEauUotSRcAr5EvWCNjsES+YIl8wZpXGWMfuQ18218CtYV8wRoZgyXyBUvkC9Z8yxgjcpW82l8CNYd8wRoZgyXyBUvkC9a8yhiNXKWFpAuA18gXrJExWCJfsES+YM2rjNHIVZpPugB4jXzBGhmDJfIFS+QL1rzKGI1cpR1JFwCvkS9YI2OwRL5giXzBmlcZo5GrdCrpAuA18gVrZAyWyBcskS9Y8ypjNHKVupIuAF4jX7BGxmCJfMES+YI1rzJGI1epKekC4DXyBWtkDJbIFyyRL1jzKmPsI7eBb/tLoLaQL1gjY7BEvmCJfMGabxljRK6SV/tLoOaQL1gjY7BEvmCJfMGaVxmjkas0l3QB8Br5gjUyBkvkC5bIF6x5lTEauUreDLeiJpEvWCNjsES+YIl8wZpXGaORq9SXdAHwGvmCNTIGS+QLlsgXrHmVMRq5SuNJFwCvkS9YI2OwRL5giXzBmlcZo5Gr1Jt0AfAa+YI1MgZL5AuWyBeseZUxGrlK2aQLgNfIF6yRMVgiX7BEvmDNq4yxj9wGvu0vgdpCvmCNjMES+YIl8gVrvmWMEblKXu0vgZpDvmCNjMES+YIl8gVrXmWMRq7STNIFwGvkC9bIGCyRL1giX7DmVcZo5CoVki4AXiNfsEbGYIl8wRL5gjWvMkYjV6kn6QLgNfIFa2QMlsgXLJEvWPMqYzRylU4mXQC8Rr5gjYzBEvmCJfIFa15ljEau0q6kC4DXyBeskTFYIl+wRL5gzauM0chV4u8ElsgXrJExWCJfsES+YM2rjFV1H7lcLvfzkn5T0o4gCM5V7cBXkXOuJQzDhaTrgJ/IF6yRMVgiX7BEvmDNt4xVrSvN5XL7JX2LpGPVOmZC9iddALxGvmCNjMES+YIl8gVrXmWsmsOLvy3pFyVVb4gvGVNJFwCvkS9YI2OwRL5giXzBmlcZq0ojl8vlvkvSySAInqvG8QAAAAAAF5a53AfmcrkvSdq9yV0fl/Srkv7BpY7x4IMP3i/pfkmampr69AMPPPBFSeOSeiVlJR2VdEDRrusFRXs9nFS0wkwq/ni/1rvpLknHJe2VtCbpdPxxPj63jrJjrkiakLRH0jlJTZLayu5fio97q3PuKUmtklrK7l+QNC9ph6RT8c9uKrt/Lj5GXw2e025JZzmnmjinLudcxrNz8vH3VM/ndLNz7hHPzsnH31O9nlOTc67Ds3Py8fdUr+f0rjhfPp2Tj7+nej6nrHOuq5bOKQzDw9qiK17sJJfLvUtSoOgvVJL2SRqTdEcQBKeu6OAJ8O0iSNQW8gVrZAyWyBcskS9Y8y1jVV21UpJyudwbkm6r41Urrw/D8JWk64CfyBeskTFYIl+wRL5gzbeMebWXQpWsJV0AvEa+YI2MwRL5giXyBWteZazqI3L1zjnXFobhXNJ1wE/kC9bIGCyRL1giX7DmW8YYkau0N+kC4DXyBWtkDJbIFyyRL1jzKmM0cpXySRcAr5EvWCNjsES+YIl8wZpXGaORq3TZWzIAW0C+YI2MwRL5giXyBWteZYxGrlJH0gXAa+QL1sgYLJEvWCJfsOZVxljsZAPnXFMYhktJ1wE/kS9YI2OwRL5giXzBmm8ZY0Su0oGkC4DXyBeskTFYIl+wRL5gzauM0chVWkm6AHiNfMEaGYMl8gVL5AvWvMoYjVyliaQLgNfIF6yRMVgiX7BEvmDNq4zRyFXak3QB8Br5gjUyBkvkC5bIF6x5lTEauUrnki4AXiNfsEbGYIl8wRL5gjWvMkYjV6kp6QLgNfIFa2QMlsgXLJEvWPMqYzRyldqSLgBeI1+wRsZgiXzBEvmCNa8yxj5yG/i2vwRqC/mCNTIGS+QLlsgXrPmWMUbkKnm1vwRqDvmCNTIGS+QLlsgXrHmVMRq5St506ahJ5AvWyBgskS9YIl+w5lXGaOQqTSVdALxGvmCNjMES+YIl8gVrXmWMRq7S7qQLgNfIF6yRMVgiX7BEvmDNq4zRyFU6m3QB8Br5gjUyBkvkC5bIF6x5lTEauUqtSRcAr5EvWCNjsES+YIl8wZpXGaORq9SSdAHwGvmCNTIGS+QLlsgXrHmVMfaR28C3/SVQW8gXrJExWCJfsES+YM23jDEiV8mr/SVQc8gXrJExWCJfsES+YM2rjNHIVVpIugB4jXzBGhmDJfIFS+QL1rzKGI1cpfmkC4DXyBeskTFYIl+wRL5gzauM0chV2pF0AfAa+YI1MgZL5AuWyBeseZUxGrlKp5IuAF4jX7BGxmCJfMES+YI1rzJGI1epK+kC4DXyBWtkDJbIFyyRL1jzKmM0cpWaki4AXiNfsEbGYIl8wRL5gjWvMsY+chv4tr8Eagv5gjUyBkvkC5bIF6z5ljFG5Cp5tb8Eag75gjUyBkvkC5bIF6x5lTEauUpzSRcAr5EvWCNjsES+YIl8wZpXGaORq+TNcCtqEvmCNTIGS+QLlsgXrHmVMRq5Sn1JFwCvkS9YI2OwRL5giXzBmlcZo5GrNJ50AfAa+YI1MgZL5AuWyBeseZUxGrlKvUkXAK+RL1gjY7BEvmCJfMGaVxmjkauUTboAeI18wRoZgyXyBUvkC9a8yhj7yG3g2/4SqC3kC9bIGCyRL1giX7DmW8YYkavk1f4SqDnkC9bIGCyRL1giX7DmVcZo5CrNJF0AvEa+YI2MwRL5giXyBWteZYxGrlIh6QLgNfIFa2QMlsgXLJEvWPMqYzRylXqSLgBeI1+wRsZgiXzBEvmCNa8yRiNX6WTSBcBr5AvWyBgskS9YIl+w5lXGaOQq7Uq6AHiNfMEaGYMl8gVL5AvWvMoYjVwl/k5giXzBGhmDJfIFS+QL1rzKGPvIbeCcawnDcCHpOuAn8gVrZAyWyBcskS9Y8y1jXnWlVbI/6QLgNfIFa2QMlsgXLJEvWPMqY5krPUAul/t1Sf9M0tn4S78aBMEXr/S4CZpKugB4jXzBGhmDJfIFS+QL1rzK2BU3crHfDoLgt6p0LAAAAADARTC1slJX0gXAa+QL1sgYLJEvWCJfsOZVxqo1IvfTuVzuY5K+KunngiCYrNJxk3A86QLgNfIFa2QMlsgXLJEvWPMqY5e1amUul/uSpN2b3PVxSU9KOicplPQbkvYEQfDjmx3nwQcfvF/S/ZI0NTX16QceeOCLksYl9UrKSjoq6YCkGUkFRbuvn1S050Mq/ni/1ue3din6heyVtCbpdPxxXlGT2lF2zBVJE5L2xPU2SWoru38pPu77FDWkrZJayu5fkDQvaYekU/HPbiq7fy4+Rl8NntNuRdcwck7Jn1OHpDHPzsnH31M9n9O7JD3q2Tn5+Huq13PKxsfy6Zx8/D3V6zndEdfu0zn5+Huq53PKxOdSM+cUhuFhbVFVtx/I5XIHJf2PIAhuqtpBrzLn3HVhGB5Jug74iXzBGhmDJfIFS+QL1nzL2BWPNa3LAAAK40lEQVRfI5fL5faUffo9kl640mMm7HTSBcBr5AvWyBgskS9YIl+w5lXGqnGN3L/N5XK3KJpa+YakoSocM0l7JW15iBO4BPIFa2QMlsgXLJEvWPMqY1WdWukD59yOMAzPXvqRwFtHvmCNjMES+YIl8gVrvmWM7QcqVWslT2Az5AvWyBgskS9YIl+w5lXGaOQqdSRdALxGvmCNjMES+YIl8gVrXmWMqZUbOOeawjBcSroO+Il8wRoZgyXyBUvkC9Z8yxgjcpUOJF0AvEa+YI2MwRL5giXyBWteZYxGrtJK0gXAa+QL1sgYLJEvWCJfsOZVxmjkKk0kXQC8Rr5gjYzBEvmCJfIFa15ljEau0p5LPwTYMvIFa2QMlsgXLJEvWPMqYzRyG/zhH/7hNyVdA/xFvmCNjMES+YIl8gVrvmWMRq7S/UkXAK+RL1gjY7BEvmCJfMGaVxmjkQMAAACAOkMjBwAAAAB1hkau0ieSLgBeI1+wRsZgiXzBEvmCNa8y5sIwTLoGAAAAAMBbwIgcAAAAANQZGjkAAAAAqDOZpAuwlsvl0pK+KulkEATfkcvlDkn6jKQeSc9I+mgQBCsbvueHJf1C2ZfeLek9QRA8m8vl3ivpjyQ1S/qipJ8JgoD5qdtUNfMl6WVJfy7pOklFSV8IguCX7c8Ctazaz2Flj/nvkq4NguAm63NA7TL4PzIr6XclfVDSmqSPB0Hw3+zPBLXKIGM/JOlXJYWSxiT9SBAE567CqaAGbTFfDZL+s6LXXhlJnwqC4F/F990n6T9ISkv6z0EQ/OurdjJbsB1G5H5G0jfKPv83kn47CILrJU1K+qcbvyEIgk8HQXBLEAS3SPqopDfKXgD9vqI9KK6Pb/dZFo+aV+18/VYQBAOSbpV0Ty6X+4e25aMOVDtjyuVy3ytpzrZs1Ilq5+vjks4EQfB2STdK+jvT6lEPqpaxXC6XUfQi+94gCN4t6XlJP21+Bqhlbzlfkr5fUmMQBO+S9F5JQ7lc7mDcFP6epH+o6Pnrh3K53I2m1V8hrxu5XC63T9K3K+q6lcvlnKRvlvQX8UP+WNJ3X+IwPyTpv8bfv0dSRxAET8SjcJ+6jO+Hp6qdryAIFoIgeDj+eEXRO0n7ql856kW1MxYfo03SA5L+ZbXrRX2xyJekH5f0ryQpCII1Rkq2N4OMufjWGh+rQ9GoHLahK8hXqChDGUUz7FYkzUi6Q9KrQRC8Fr8O+4ykD5uexBXyupGT9O8l/aKi6R2S1CtpKgiCQvz5CUl7L3GMH9D6E8je+HtKLuf74a9q5+tNuVyuS9J3SgqqUyrqlEXGfkPSv5O0UMU6UZ+qmq/4eUuSfiOXyz2Ty+X+PJfL7apyzagvVc1YEASrkn5K0tcVNXA3SvpklWtG/dhqvv5C0rykcUnHFM2GysePPV72uJp/ne9tI5fL5b5D0fSOvy/7stvkoRe8vi2Xy71P0kIQBC9s5fvhL6N8lb6eUfSf1u8EQfBaNepF/bHIWC6Xu0XS24Ig+FxVi0XdMXoOyyiaRfDlIAjeI+kJSb9VpZJRZ4yewxoUNXK3SupXNLXyV6pWNOrGFebrDkVrEfRLOiTp53K53LVv4ftrhreNnKR7JH1XLpd7Q9HQ6Dcr6ty74hfKUvQfzsWG5H9Q57+TfULnT3W71PfDXxb5KvmEpFeCIPj31SsXdcgiY3dJem98zMckvT2Xyz1S3bJRJyzyNaFopLf0RsGfK1pMANuTRcZukaQgCI7El7h8VtLdVa4b9eFK8vURSQ8FQbAaBMEZSV+WdJui1/n7yx5X86/zvW3kgiD4lSAI9gVBcFDRE8HfBkHww5IelvSP4of9qKTPb/b9uVwupehiyM+UHXNc0mwul7sznof7sQt9P/xmka/46/9SUqeknzUqHXXC6Dns94Mg6I+P+X5JLwdB8EGzk0DNMspXKOkLilaslKScpJcs6kftM/p/8qSkG3O53I7482/R+QtdYJu4wnwdk/TNuVzO5XK5Vkl3ShqV9LSk63O53KF4Bd4flPTfjU/linjbyF3EL0l6IJfLvapoLu0nJSmXy31XLpf7f8oe9wFJJzaZ2vZTii6qfFXSEUl/bV8y6siW8xVftPtxRXP+n8nlcs/mcrmfuHqlo05c6XMYcDFXmq9fkvTruVzueUWrDf7cVagZ9WXLGQuCYEzS/y3p0Thjt0j6/65a5agHl5Ov35PUJukFRc3bg0EQPB9fW/fTkv6nojcIPhsEwYtX+wTeCheGNT31EwAAAACwwXYckQMAAACAukYjBwAAAAB1hkYOAAAAAOoMjRwAAAAA1BkaOQAAAACoMzRyAAAAAFBnaOQAAKacc6Fzru0q/ay7nXMvOOe+5py7d+PnF/ieH3PO/cVlHPuDzrl/UPZ5v3Pu4bLPf905l91i3Y84575jK98LANieaOQAAFedcy5jdOiPSvrjMAxvDcPw4U0+vxIflPRmIxeG4VgYhuXN4a9J2lIjBwDAW0UjBwCoKufc9zrnRp1zjzvn/s+yr4fOuV9wzj0i6decc2nn3G/FI2YvxB+n48f+kXPuPznnvuScOxx/nI3v2+Wc+5xz7nnn3Nedcx+Lv/4Lkn5A0s845551zv1fGz5vvozadzvnHnbO/b1z7kXn3L+Nv/4uST8p6WPxsX7ZOXfQOXcuvv/34kM8Ht/ftXGUrfxz59yNzrmvOOeecc79F0lNZY/b45z7C+fcU/H5/epWfxcAAH9ZvSMKANiGnHM7Jf0nSXeHYXjYOfeLGx6SCsPwg/Fjf0rSLZLeE9/315Lul/T78efvk3S3pCVJX4zv+11JvyPphTAMv8c5t0fSM865Z8Iw/E3n3DslfTUMw9+Nf8Z15Z9fhilJ3xmG4ZxzrkHS/3TO3ReG4UPOuT+Q1BaG4c/Hxz5Y+qYwDP+5c+5/i897Lr7/Yj/nTyT9ThiGf+ycu1PSl8vu+5Sk3wjD8NG4eQ2cc0+HYfg3l3kOAIBtgBE5AEA13SnpmTAMD8eff2LD/X9c9vGHJP1RGIYrYRiuSHow/lrJn4VhOBeGYSH+vm8u+75hSQrDcFzSX0na9Pq3LUhL+k3n3HOS/l7STYqazapxznXEx/0TSQrD8ElJX4/va1U0hfN3nHPPSnpKUr+kd1SzBgBA/WNEDgBQTRcdhpI0t+Gx4Yb7N35+ocde7ve9VQ9I6pb0vjAMl5xzn1DZtMe3qKDz3zAtP86F6k3F990ehuHqFn8uAGAbYEQOAFBNT0i61Tl3ffz5T1zksX8j6ceccw3xNMYflfSlsvu/3znXGi+M8iOSSouVfEnRNEs553ZL+ray+65Ul6TxuInbK+nDZffNSOq8yPfObrj/iKTb4zpvVDyyF4bhjKQXJH0kvu8OSe+K75uVNCLpl0sHcc7tj88TAIA30cgBAKomDMMzipqsLzjnHlc0KnUhn5D0vKSvxbfnFV1fV/KopL+U9KKk41qfpvl/SLrZOfe8ombwl8MwfLFKp/A7ku5xzn1N0bV6Qdl9n5N0W2mxk02+999J+tvSYieS/o2kb3POfVXSz8fnWPIxSf+7c+4ZSf9M0pNl9/2wpBvjhU6+LunPFDWYAAC8yYVhtWajAABQHc65P9JbW6QEAIBthRE5AAAAAKgzjMgBALaFeIrjxkW+ngzD8CeTqAcAgCtBIwcAAAAAdYaplQAAAABQZ2jkAAAAAKDO0MgBAAAAQJ2hkQMAAACAOvP/AwAWgyd4wKLtAAAAAElFTkSuQmCC\n" | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": "<Figure size 1080x684 with 2 Axes>", | |
| "image/png": 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\n" | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": "<Figure size 1080x684 with 2 Axes>", | |
| "image/png": 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\n" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "features_to_plot = ['longitude_diff', 'latitude_diff']\npdp2d = pdp.pdp_interact(model = forest, dataset = X_test, model_features = X_test.columns,\n features = features_to_plot)\n\npdp.pdp_interact_plot(pdp_interact_out = pdp2d, feature_names = features_to_plot,\n plot_type = 'contour')\nplt.savefig(\"../output/017-2d.png\")\nplt.show()", | |
| "execution_count": 35, | |
| "outputs": [ | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": "<Figure size 540x684 with 3 Axes>", | |
| "image/png": 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\n" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "", | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "", | |
| "execution_count": null, | |
| "outputs": [] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "name": "conda-env-jakbadacdane.pl-py", | |
| "display_name": "Python [conda env:jakbadacdane.pl]", | |
| "language": "python" | |
| }, | |
| "language_info": { | |
| "name": "python", | |
| "version": "3.6.6", | |
| "mimetype": "text/x-python", | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "pygments_lexer": "ipython3", | |
| "nbconvert_exporter": "python", | |
| "file_extension": ".py" | |
| }, | |
| "gist": { | |
| "id": "", | |
| "data": { | |
| "description": "Partial Dependence Plots", | |
| "public": true | |
| } | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 2 | |
| } |
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