{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Forest Cover Type Prediction: take 2\n", "\n", "In my first exploration / submission to the [Forest Cover Type Prediction Kaggle Competition](https://www.kaggle.com/c/forest-cover-type-prediction), one of the [recommended starter projects](https://www.quora.com/What-Kaggle-competitions-should-a-beginner-start-with-1) I'm working through as part of my [ML Study Curriculum](http://karlrosaen.com/ml), I made some progress:\n", "- developed a preprocessing function to scale each feature\n", "- observed that non-linear models performed significantly better than linear models\n", "- observed that applying tree based methods to scaled data performs the same as on unscaled (so working with the scaled data all the time is fine)\n", "- saw that the first 25 (out of 55) components from PCA are sufficient to preserve 95% of the variance of the data, and it is worth training / predicting based on the reduced dataset with the SVM models, as they are quite slow\n", "- got up to 72% accuracy on submission to kaggle using kernel SVM. A random forest performed almost as well and was *much* faster to train and predict\n", "\n", "In this notebook I'm going to see if I can improve performance by tuning the parameters of the two best performing models.\n", "\n", "## Loading and preprocessing the data\n" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
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IdElevationAspectSlopeHorizontal_Distance_To_HydrologyVertical_Distance_To_HydrologyHorizontal_Distance_To_RoadwaysHillshade_9amHillshade_NoonHillshade_3pm...Soil_Type32Soil_Type33Soil_Type34Soil_Type35Soil_Type36Soil_Type37Soil_Type38Soil_Type39Soil_Type40Cover_Type
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" ], "text/plain": [ " Id Elevation Aspect Slope Horizontal_Distance_To_Hydrology \\\n", "0 1 2596 51 3 258 \n", "1 2 2590 56 2 212 \n", "2 3 2804 139 9 268 \n", "3 4 2785 155 18 242 \n", "4 5 2595 45 2 153 \n", "\n", " Vertical_Distance_To_Hydrology Horizontal_Distance_To_Roadways \\\n", "0 0 510 \n", "1 -6 390 \n", "2 65 3180 \n", "3 118 3090 \n", "4 -1 391 \n", "\n", " Hillshade_9am Hillshade_Noon Hillshade_3pm ... Soil_Type32 \\\n", "0 221 232 148 ... 0 \n", "1 220 235 151 ... 0 \n", "2 234 238 135 ... 0 \n", "3 238 238 122 ... 0 \n", "4 220 234 150 ... 0 \n", "\n", " Soil_Type33 Soil_Type34 Soil_Type35 Soil_Type36 Soil_Type37 \\\n", "0 0 0 0 0 0 \n", "1 0 0 0 0 0 \n", "2 0 0 0 0 0 \n", "3 0 0 0 0 0 \n", "4 0 0 0 0 0 \n", "\n", " Soil_Type38 Soil_Type39 Soil_Type40 Cover_Type \n", "0 0 0 0 5 \n", "1 0 0 0 5 \n", "2 0 0 0 2 \n", "3 0 0 0 2 \n", "4 0 0 0 5 \n", "\n", "[5 rows x 56 columns]" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "\n", "labeled_df = pd.read_csv('train.csv')\n", "\n", "labeled_df.head()\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Pipelines FTW\n", "\n", "Reading about scikit-learn pipelines in Python Machine Learning and in this [handy post](http://zacstewart.com/2014/08/05/pipelines-of-featureunions-of-pipelines.html) I got inspired to rework my datamunging function to use pipelines.\n", "\n", "It's really nice as once you have it setup, you are in a better position to use many of the libraries for things like kfold cross-validation and hyperparamter tuning with grid search.\n", "\n", "Here are some utilities that are handy for preprocessing data. The function `dataframe_wrangler` returns a pipeline that is ready to preprocess a dataframe. You tell it which columns are quantitative and categorical (as well as the range of values for each categorical variable) and it handles scaling them so they will be ready for use with linear classifiers and PCA. Note in the previous notebook we established that, at least for this dataset, working with scaled data does not *hurt* the performance of tree based methods, so we can use the same preprocessing pipeline uniformly for the models we are exploring." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# %load preprocess.py\n", "from sklearn.base import TransformerMixin, BaseEstimator\n", "from sklearn.preprocessing import StandardScaler\n", "import functools\n", "import operator\n", "from sklearn.pipeline import Pipeline, FeatureUnion\n", "\n", "\n", "class BaseTransformer(BaseEstimator, TransformerMixin):\n", "\n", " def fit(self, X, y=None, **fit_params):\n", " return self\n", "\n", " def transform(self, X, **transform_params):\n", " return self\n", "\n", "\n", "class ColumnExtractor(BaseTransformer):\n", " \"Helps extract columns from Pandas Dataframe\"\n", "\n", " def __init__(self, columns, c_type=None):\n", " self.columns = columns\n", " self.c_type = c_type\n", "\n", " def transform(self, X, **transform_params):\n", " cs = X[self.columns]\n", " if self.c_type is None:\n", " return cs\n", " else:\n", " return cs.astype(self.c_type)\n", "\n", "\n", "class CategoricalColumnExtractor(BaseTransformer):\n", "\n", " def __init__(self, cat_vals):\n", " self.cat_vals = cat_vals\n", "\n", " def all_binary_cs(self):\n", " binary_cs = [['{}{}'.format(c, v) for v in vs] for c, vs in self.cat_vals.items()]\n", " return functools.reduce(operator.add, binary_cs)\n", "\n", " def transform(self, X, **transform_params):\n", " return X[self.all_binary_cs()]\n", "\n", "\n", "class SpreadBinary(BaseTransformer):\n", "\n", " def transform(self, X, **transform_params):\n", " return X.applymap(lambda x: 1 if x == 1 else -1)\n", "\n", "\n", "def dataframe_wrangler(*, quantitative_columns=None, categorical_columns=None):\n", " \"\"\"\n", " Creates a Pipeline that will be ready to preprocess a dataframe.\n", "\n", " :param quantitative_columns: [q_column, ...]\n", " :param categorical_columns: {'cat_column': ['val1', 'val2', ...]}\n", " :return: Pipeline\n", " \"\"\"\n", " if quantitative_columns is None:\n", " quantitative_columns = []\n", " if categorical_columns is None:\n", " categorical_columns = {}\n", " return Pipeline([\n", " ('features', FeatureUnion([\n", " ('quantitative', Pipeline([\n", " ('extract', ColumnExtractor(quantitative_columns, c_type=float)),\n", " ('scale', StandardScaler())\n", " ])),\n", " ('categorical', Pipeline([\n", " ('extract', CategoricalColumnExtractor(categorical_columns)),\n", " ('spread_binary', SpreadBinary())\n", " ])),\n", " ]))\n", " ])\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### A preproccessing pipeline for our dataset\n", "\n", "Let's use this utility to build a pipeline to apply the appropriate scaling to the quantitative and categorical variables in our dataset." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": true }, "outputs": [], "source": [ "pipe_wrangle = dataframe_wrangler(\n", " quantitative_columns=['Elevation', 'Aspect', 'Slope', \n", " 'Horizontal_Distance_To_Hydrology', 'Vertical_Distance_To_Hydrology',\n", " 'Horizontal_Distance_To_Roadways', \n", " 'Hillshade_9am', 'Hillshade_Noon', 'Hillshade_3pm',\n", " 'Horizontal_Distance_To_Fire_Points'],\n", " categorical_columns={\n", " 'Wilderness_Area': [1, 2, 3, 4],\n", " 'Soil_Type': list(range(1, 41))\n", " })" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Tuning 3 models' hyperparameters\n", "\n", "Now that we have a pipeline to preprocess the data, we can reuse it with a new pipeline for each model we wish to explore.\n", "\n", "Recall that we established the first 24 principal components from PCA retained 95% of the dataset's variance, so we will include that in each pipeline too.\n", "\n", "The two models that performed best were kernel SVM and Random Forest. We'll see if we can squeeze a little bit more performance out of each by using grid search to see which models perform best during k-fold validation. We'll throw logistic regression in the mix too since I'm curious how much tuning the regularization parameter will help." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [], "source": [ "from sklearn.tree import DecisionTreeClassifier\n", "from sklearn.ensemble import RandomForestClassifier\n", "from sklearn.linear_model import LogisticRegression\n", "from sklearn.svm import SVC\n", "from sklearn.decomposition import PCA\n", "\n", "pipe_lr = Pipeline([\n", " ('wrangle', pipe_wrangle),\n", " ('pca', PCA(n_components=24)),\n", " ('lr', LogisticRegression(C=100.0, random_state=0))\n", " ])\n", "\n", "pipe_rf = Pipeline([\n", " ('wrangle', pipe_wrangle),\n", " ('rf', RandomForestClassifier(criterion='entropy', n_estimators=10, random_state=1))\n", " ])\n", "\n", "pipe_svm = Pipeline([\n", " ('wrangle', pipe_wrangle),\n", " ('pca', PCA(n_components=24)),\n", " ('svm', SVC(kernel='rbf', random_state=0, gamma=0.10, C=10.0))\n", " ])\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Setting aside a final test set\n", "\n", "During parameter tuning, grid search will be using [k-fold cross validation](http://scikit-learn.org/stable/modules/cross_validation.html#k-fold) will be used to see how well the trained model performs on a portion of the data it hasn't seen. But we still want to do a final evaluation step on a portion of the data that was not available during any of the parameter tuning." ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "((10584, 56), (4536, 56))" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sklearn.cross_validation import train_test_split\n", "\n", "labeled_df_train, labeled_df_test = train_test_split(labeled_df, test_size=0.3, random_state=0)\n", "labeled_df_train, labeled_df_test = labeled_df_train.copy(), labeled_df_test.copy()\n", "\n", "(labeled_df_train.shape, labeled_df_test.shape)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### X/y extraction\n", "\n", "A little helper function to pull out X/y from our dataset" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [], "source": [ "def extract_X_y(df):\n", " return df.iloc[:, 1:-1], df.iloc[:, -1]\n", "\n", "X_train, y_train = extract_X_y(labeled_df_train)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Tuning Logistic Regression\n", "\n", "With our pipeline all setup and our training set ready, we can perform our first grid search with Logistic Regression to see which value for `C`, the regularization parameter that dampens parameter variance, yields the optimal test accuracy." ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "grid search across 8 parameters took 12.60 seconds\n" ] } ], "source": [ "from sklearn.grid_search import GridSearchCV\n", "import time\n", "\n", "param_range = [0.0001, 0.001, 0.01, 0.1, 1.0, 10.0, 100.0, 1000.0]\n", "\n", "param_grid = [{'lr__C': param_range}]\n", "\n", "gs = GridSearchCV(estimator=pipe_lr, \n", " param_grid=param_grid, \n", " scoring='accuracy', \n", " cv=5,\n", " n_jobs=-1)\n", "before_gs = time.time()\n", "gs = gs.fit(X_train, y_train)\n", "after_gs = time.time()\n", "\n", "print(\"grid search across {} parameters took {:.2f} seconds\".format(len(param_range), after_gs - before_gs))" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "(0.66128117913832196, {'lr__C': 1000.0})" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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alCRJktQjKunxAJ4HfD5/dszQ7lCTmbcDnwXeWlF7kiRJknpIVcHjKRR7dozb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\ni4FvRsRNwI+BFwFLgf8NtPb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"text/plain": [ "" ] }, "metadata": { "image/png": { "height": 272, "width": 399 } }, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "%matplotlib inline\n", "%config InlineBackend.figure_format = 'retina'\n", "\n", "plt.xscale('log')\n", "plt.xlabel('C')\n", "plt.ylabel('Test Accuracy')\n", "plt.scatter(\n", " [score.parameters['lr__C'] for score in gs.grid_scores_],\n", " [score.mean_validation_score for score in gs.grid_scores_]\n", ")\n", "\n", "(gs.best_score_, gs.best_params_)" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "`C` is the *inverse* regularization parameter so what this is telling us is that LR is performing best when it is free to vary the parameters as much as it likes to fit the data. \n", "\n", "However, our initial stab had `C` set to 100, so we didn't really gain much; by about 10 the performance flattens out" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Tuning Random Forest\n", "\n", "Let's see how a random forest classifier performance verifies by the number of estimators, how many estimators make up the ensemble and how many features each classifier gets." ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "grid search across 9 parameters took 27.15 seconds\n" ] } ], "source": [ "import operator\n", "import functools\n", "\n", "def num_params(grid):\n", " return functools.reduce(\n", " operator.mul,\n", " [len(v) for v in grid.values()]\n", " )\n", "\n", "param_grid_rf = { \n", " 'rf__n_estimators': [10, 50, 100],\n", " 'rf__max_features': ['log2', 'sqrt', 0.8]\n", "}\n", "\n", "gs_rf = GridSearchCV(estimator=pipe_rf, \n", " param_grid=param_grid_rf, \n", " scoring='accuracy', \n", " cv=5,\n", " n_jobs=-1)\n", "before_gs = time.time()\n", "gs_rf = gs_rf.fit(X_train, y_train)\n", "after_gs = time.time()\n", "\n", "print(\"grid search across {} parameters took {:.2f} seconds\".format(num_params(param_grid_rf), after_gs - before_gs))\n" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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5lJqm4fV6CQQCUZUVSh0RXGtiFyka+082BFeIJ9kkHzvBS46jkA6BQIDm5mYW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\n5rrrrjMJ7jDiKx7Uk5uyUkJ2CKKib68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AE6jINKhKCrOBqoKNKH+sRUmuh+KR3G7U1YN3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j3LU86v9rfees2f4ldGdEOLt4hup06d/Po/SU1NZdy4ceTl5fHyyy/zyCOPONYtXLiQ8vJyZs+e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\nZ08A3n33XaB8MNzLL79MeHg4kydPZs2aNYCJlQgNDaVJkybUr1//cp6O5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"text/plain": [ "" ] }, "metadata": { "image/png": { "height": 237, "width": 349 } }, "output_type": "display_data" }, { "data": { "text/plain": [ "(0.85024565381708239, {'rf__max_features': 0.8, 'rf__n_estimators': 100})" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from mpl_toolkits.mplot3d import Axes3D\n", "\n", "fig = plt.figure()\n", "ax = fig.add_subplot(111, projection='3d')\n", "\n", "n_features = X_train.shape[1]\n", "feat_convert = {\n", " 'log2': int(np.log2(n_features)), \n", " 'sqrt': int(np.sqrt(n_features)),\n", " 0.8: int(0.8 * n_features) \n", "}\n", "\n", "ax.set_xlabel('num estimators')\n", "ax.set_xticks(np.log10([10, 50, 100]))\n", "ax.set_xticklabels([10, 50, 100])\n", "ax.set_ylabel('max features')\n", "ax.set_yticks(np.log10([int(np.log2(n_features)), int(np.sqrt(n_features)), int(0.8 * n_features)]))\n", "ax.set_yticklabels(['log2', 'sqrt', '0.8'])\n", "ax.set_zlabel('accuracy')\n", "ax.plot_trisurf(\n", " np.log10([score.parameters['rf__n_estimators'] for score in gs_rf.grid_scores_]),\n", " np.log10([feat_convert.get(score.parameters['rf__max_features']) for score in gs_rf.grid_scores_]),\n", " [score.mean_validation_score for score in gs_rf.grid_scores_]\n", ")\n", "\n", "plt.show()\n", "\n", "(gs_rf.best_score_, gs_rf.best_params_)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We were able to get a boost in performance by using more estimators and allowing each one to use more of the variables. If you follow the plan where num_estimators=100 up it's interesting to see that allowing more features still helps." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Tuning Kernel SVM\n", "\n" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "grid search across 64 parameters took 836.73 seconds\n" ] } ], "source": [ "param_grid_svm = {\n", " 'svm__C': [0.0001, 0.001, 0.01, 0.1, 1.0, 10.0, 100.0, 1000.0], \n", " 'svm__gamma': [0.0001, 0.001, 0.01, 0.1, 1.0, 10.0, 100.0, 1000.0]\n", "}\n", "\n", "gs_svm = GridSearchCV(\n", " estimator=pipe_svm, \n", " param_grid=param_grid_svm,\n", " scoring='accuracy', \n", " cv=3,\n", " n_jobs=1\n", ")\n", "\n", "before_gs = time.time()\n", "gs_svm = gs_svm.fit(X_train, y_train)\n", "after_gs = time.time()\n", "\n", "print(\"grid search across {} parameters took {:.2f} seconds\".format(num_params(param_grid_svm), after_gs - before_gs))\n" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "(0.81122448979591832, {'svm__C': 100.0, 'svm__gamma': 0.1})" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "(gs_svm.best_score_, gs_svm.best_params_)" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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5Jrr6wCQcDmcilF4WXGvBnLXlWVdXl2Oim285ckXu7KhkbK2IbmOSL4WmEC0t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ZWVlJWVUVpaSnFxcft/tSG+LS0tNDc309DQQENDQ/uMaVtbW9atD/EU3bq6Onr06FEw5HtzRZei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\nA6eeAOy9QF9JAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": { "image/png": { "height": 237, "width": 349 } }, "output_type": "display_data" }, { "data": { "text/plain": [ "(0.81122448979591832, {'svm__C': 100.0, 'svm__gamma': 0.1})" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fig = plt.figure()\n", "ax = fig.add_subplot(111, projection='3d')\n", "\n", "ax.set_xlabel('C')\n", "ax.set_xticks(np.log10([0.001, 1, 1000.0]))\n", "ax.set_xticklabels([0.001, 1, 1000.0])\n", "ax.set_ylabel('gamma')\n", "ax.set_yticks(np.log10([0.001, 1, 1000.0]))\n", "ax.set_yticklabels([0.001, 1, 1000.0])\n", "ax.set_zlabel('accuracy')\n", "ax.plot_trisurf(\n", " np.log10([score.parameters['svm__C'] for score in gs_svm.grid_scores_]),\n", " np.log10([score.parameters['svm__gamma'] for score in gs_svm.grid_scores_]),\n", " [score.mean_validation_score for score in gs_svm.grid_scores_]\n", ")\n", "\n", "plt.show()\n", "\n", "(gs_svm.best_score_, gs_svm.best_params_)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Learning curves" ] }, { "cell_type": "code", "execution_count": 74, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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wVSNUvF6sfLiCLldY5fNiucvYmD2GXJHliioVWY1P2qSJerxOo4kR\nJpPjtAc6WRTuJ+TXux6V4PNB39IkfUuTnPzC6UEiY6O+KVG1b3eQPR5P1oF9QQ7ut8vDv5/ed1d3\nKmsOlhsiuHxVgr6lSf2uKbOGz5e56etSzFvljZTwlltpxiRY851mFVG9zmOhWu7u+gUz9LMUEOAK\n4DFgHfB/2OQQH8Nm/fsmNllFMd6JFV+fn6Gd0oREItmJHx5+GA4cmN6ury+TIe+UU+xjMwjCucAV\nHl7B5GZCcgVTV1f+MDz3z6Ued+18vsz756NSkeWGDuaKLFdYqciqD/FUjJH4MNFEZEo8pU2KzkA3\nvR2r8It+ILNJZ1eaY9fGOHZtbNq2ZBIO7M0OE7SeLJtZcDTq56k/+XnqT23T9g0EDP0rMnOwlq2M\n23BBJ3SwrV2jQZTa4s7FdW+aut6qeNyGjA8N2f8XN1FFbkRFuM2uDxafYqjUmWYVUbXCTayfAM4x\nxjzrvH5MRM7HZvw7Q0ReYoz5Tb4ORKQHeBPWm3X7bA9YmV0mJuDxx7O9TNu3T2/X1ZWd+OGUU2DZ\nMr2L5M5byhVMrscnGLTzlrzheLliqZRMR41CqSJrplDBRCLjvXLT9Ltz5/LNyfIKLqU6jDE2ZC/h\nCdlLRAn4QnQHe2kPqOu4EQgEYMURCVYckZi2zRiIDPmzPFd7dwfZsyvEvt1BDg8G2L0zxO6d+T2I\nCxfbMEE3g+BUwouVCRYs0ppYSvUU8la52QDdm2v5vFW5Kdabrc5lK9OsH4XraeotsN1dP1OtKHf7\nHzwCCgAnIcWPnJenFenjYqAD+M9KE0qISMHlzDPPREQYGBjIu+/AwEBLbL/hhvzbN20aYO1aYdOm\n2m9PJOCaa+z2v/zLAc47D170IrjwQrj+eviv/4Lt2wcAob9/gIsvhhtugB/+EH77W7j9dgiHB/iH\nfxC+9a2BvH+0szn+em53syjeeKPdfv31Azz7rC0IPDxsxVMoBN/4xgCvfa3wve8NcNRRcMwxdjn2\nWHjOc+D22wdYuVK4+eYBurunp6dvlPOz0u3XXTdAW5vwsY8NsHAhLFkCK1bAmjXWBl/72gAnnyzc\nddfAlG2OOcYWTD7qKPje9wZ41auEL395gEDACq3RUVtHbNcu+NCHMvY/dMh6TcfGMmGRjXr+NML2\nVDrFf3z8Sp77XB8f/fgV7Brbzv6JPaRNmr72ZSxpX8a3bruN15+6ljtv3ZS3/ztv3aTbG2D7lz+/\niQWLUpxwyiRn/XmUi9Yf5gMD+3nBaf/E4cEgb/7bjXz2a9u59mO7ecflBzjnTcOc+vIxunv+BRCG\nDn2Yx/+vnft+0MuXb+3jP65dzj/+3Wre+vo7Ofu0tbzldXdw3RUr+Pwn+vivb/Xyuwc62PNskNs/\nW/vj27NrJzffcD3nn7mO15+6ltefupaNb/9r9uzaWTf76vbZ2f71L27i/DPW8l93baK/H5avgJ4e\nK5ImJuDWT2ziNS9cyyeu38TOnbBjh72pu3u3/Q+48UObWNu3lk035O9/0w0zbP/oJnw+X93/P93r\n3HxLozPfE0v8LfAF4B5jzBvybP8o8H7gamPMRwv08UfgZOBMY8wvyzwOTSzhcPiwzWSXTpceAldO\nvZl02v4AuWnFH33UepxiOVEjPp+9uPXWY3rOc1oz8UMp9vPOW/J6l7zzlnITPOTzLrWax2RgYKDg\nH0Mtcb1TM4UKFkqAAfnTtrvhgvW4o1nvOlGx1CQjnkQRo8kRjDF0BrvpDHTjk8a+tzgf6vXMFvls\nl0rBoYM22UUmZXtoKmxwNFqkJpbPsGRZMivBhTfxRWdXeckufvurX/Dhq64mmVxPKnkZsAbYgT+w\nmUDg8/zzv1/PqevOqODIq0fPu+qo1H7JZOZ/Nxazr4slVXLnV830266JJWpDs4qoo4GnsSnOj8nZ\n1gW4pUqXzpDifDWwDdhpjDkqz/YfYudFvcUYc1ee7acBD2ITSpxQwXGoiHKoREQVqjdjjE384Aom\nVzRFo9P7WL06I5hOOskmfujoqPJgmoRc+3l/rL3Cye8vPSPefInfFpGG+N7OJLLcMMFGEln1qBNl\njGEsOcpIfIixZJSxxCjjiShBf5iuQDdtgeb50s/Xej21oBLbRUd8eedg7dsd5OD+AMWu7Xp6UzbB\nhZPwYsXKTNr2xUuSWd+vPbt28vdvfQuxye8DL8vT2wOE287hM1/7OitWrS7rGGqBnnfVUSv7GZNd\nsyqRyBQEnvqfDmWnV3f/o72oiKoNTTknyhjzjIj8GHiNiGwwxtzs2Xwd0Al8xhVQIhIAjgESxphn\nPP3sFJHvA+eIyPuMMZ9wt4nIa7ECagi4t8BQ3IQSt9bw8OYVW7du5cYbb+bOO7/K2Ngg7e19nHfe\nhVx66QZWrz6m6L5uvZmhISuSvF6mgwent1+yJLsW00kn2ZpC8w33onr9+msZHMwIJpHsbEE9Pfnj\nst02Dfy7O+tce21j1Dry+zOFH/PhftbFkl/kLpOTmW0+33Rh5V0qEVlzWScqmU4STUQYTUSs1ykx\nQiw1SUegmyXtywn4mk/1z9d6PbWgEtt196TpPiHGcSdMT3YRjwv79wScOVihjNByRNZIxM9IpJ0n\nHpteEysUTrNsRSab4FNbbiIRX09+AQXwMpLJy/j2V77KhiuvKvs4qkXPu+qolf1Eps/DdW+AJhI2\npNtN2uRNr547rypVagVUpShN6YmCKW/Ur7AZ9u4G/gS8FDgT2AKsM8YMOW3XYD1O240xR+f0s9Lp\n5wjgZ9hU50cD5wFp4M3GmO/mef9urMfLB6yqZD7UfPdE3XPPPVxwwdtJJNaTSPwdbuhCIPAFgsHP\n88lP3sEZZ5ydtc/4eCbxgyuann12et89PZnED65o6u+fk8NqGAqlEE+nC9dbyieYdBJr6+IVWaUm\nvvCGD86GyKoFk8kJRjyJIkYTIwBTiSIaPWRPaX6MgcOH/FM1sKZStu+2Amv4cO497H7g19j7vYXY\nSlv7y7j97l/T05ue1zeylMK4//2xGMQTkIhP91YdSGxn7dI1/Nnx6omqhqYVUTAlgK7DFsldjBU1\n3wauM8ZEPO3WAM9gRdS0XygRWQxcA5wLLAdGgPuBfzfG/K7Ae78LuAX4mjHmbRWOf96KqK1bt3LK\nKS9lfPxuCoUutLWdy403PsjBg8dMheW5IX9ewmEbhufNlLd69fy6+M+XEc+Nnc4nmPKJpWYoaqzM\nLbkiK1do5Yoqb3ihK7KKZRes5XfUhuxFicSHGEtEGU+MMpaMEva30Rnsoc0/3RugKPVifEyyPFib\nP7UMiFE8QCgBtANJwuE0ff1JlixN0tefYEl/0lmc58uSZc/JUloXN3Ouu+wc2c4Ljl7D6150HD5f\nQ+oTQEWUUoT5LKLe/e7L2by5nUTiI0VaXY39U7lpao3fD8cdly2Yjj12/ggAr9veK5jyzVvyuvBz\nU4grSi3wiqhSE19452gVE1mlprpPpBM2ZC8eceY7RYmlYnQGu+gK9OD3zZMfB6WpOf/MdYyPPchM\nniiRdXR07mZsdOZsPR2dKfqWJqcEVj6xpTWy5if/+8x2nn+UiqhqURFVR+aziOrp6ScanTl0QWQd\nb3zjvinBdPzx2XUWWhW3MF+uWILpIXhe71JuodoG9tIr84CZRNZMiS9yRZY3+UVSxjO1nZJRxhIj\n+MRPZ6CHjkBnQ4eoKEouN99wPfd8dxmp5PUF2/gDV3H2Xxxgw5VXMT4mHNxvk1sc3B9g0PPcXR+b\nnNnV29WTyvZg5YitvqVJQqH5d43S6qiIqg0qourIfBZRPp8fY2YOXRBpZ8uW5FwNa84pNG8plco/\nZyl3gqgrmOZT6KLSOuSGBhbzZiWTEE+kiUyOMDw5zGh8lEkzQoIx2kPt9IZ76QiFp5JtBAJ6E0Fp\nHmqdnc8YGB3xZYmqg/sDDB7wPg+QiM/857FgUdLj0Uo4QivzfPGS5LyJBmkVVETVBj3tlbrQ1dVH\nNLqD4p6onXR29hXcWu96M+WSr95SIpEdftfVVTyFeC3/qOaq1lErorarHK/tXA9Te4HpSq6QGpuM\nc3g8wqHRYfyTo/jHo7QlEvRKF2FWgglMxfy787JSKSumfD7wByDgz56L1awiS+v1VE4j227FqtX8\n879fz4evOodk8jJSyfXAamAn/sDnCQQ288//fn3J6c1FoLs3TXdvnKOPi+dtYwxEhvzTPFju88H9\nAQYPBhg+HGD48Id5estA3n58PsPCxSmW9CcccZXt2VrSn2DBolTL1Qssh0Y+95TKUU9UHZnPnqhS\n5kQFAlfz5jfHuOaam/Jur0e9mVLwTuD0CqZi85Zykz2UOh+kGhql1lEzorarnHJsNxYfY3hymJHY\nCNF4lGgsSsAXoDvcTWewk1RK8ia3SCQhmcgWVO6jN8tgIOAILX+2yHK9WY0osrReT+U0g+327NrJ\nt7/yVX52z38xMX6Y9o5FvOrsN3L+RRfWpT5UKgVDhwK87Q3H8MHrd2eFDg4esGLr8KC/aL0sAL/f\nsHhJtgcrV2z1Lkw15HeuFjTauaeeqNqgniilLrz//Ru4/faXkkicQ6HQhWBwM5dc8mDBPuay3kw+\n0un8oXiQPU9pJu9Svf40GqXWUTOitqucmWyXNmkik5GpkL2R2AjjiXE6Q530d/UT8meqRrqiJx/G\n5E/L7oqshJPu3yuyYjGYmJgusrwhgvUWWVqvp3KawXYrVq1mw5VX1aUWVD78fuhbmuSi9Rs4/dWj\nedskk3DoYLYHK9ezFRkKcGBfkAP7gtgMg9MJhtJZiTDyhQ52dTdnavdmOPeU8lFPVB2Zz54o8NaJ\nuoxE4jLc0IVAYDPB4Oa8daLqQbF5S+XUW5rPoQyKMhOxZIzhyWEikxFGE1Y8pUyK7lA33aFu/L7a\nfoGMyZ8xMLc2Vq73yvvaFVRu0gt30TmKipJNPCaO58ojtg5ki63RkZm/423trtDKnwhjSX+Cjs75\neU1VDuqJqg0qourIfBdRYOtFffzjt3DHHV9ldHSQjo4+/uIvLuSSS97D6tXF5kvNDu6kdq9gcqt/\n50vwkE8w6QRbRSkNYwxjCU/IXsyG7IUCIbpD3XSGOus4ttJFVm4yDJGMoJoqRByEBr5WUZS6MzEu\nUyGCufO0Bp3nE+Mz36Ho7EoVFFhuxsFw2/y97gIVUbVCRVQdURGV4fDhTCHdRYtm//3ceUu5gsnn\nK55CPLfeUjOGFShKvUmlU0RiTshebJSR+AiTiUk6Q510h7uzQvYaFa/IynfjJV9ad78/W1i5z/V3\nRFFmxhgYG82TcdCdp+V4tuKxmYVWT2/xRBiLlyZbuqaiiqjaoPfMlZbGO2/Je6FjTLZA6uoqXm9J\nw3MUpXomk5PW6zRpE0WMxEYwGLpD3fR19OGT5vmieb1NudkFcz3aueIqmbRzr0ZG7A2d3HBAtx6W\noigZRKCrO01Xd5yjji2ccXAk4rMia19ODS3Hy3XoQICRiJ+RiJ+tTxZ6L8OCRdNraC3pT0zN21rU\nl8SvV9HzGv34lZaglHlLwSD09BRP8qAXLopSW4wxjMZHGZocIhqLMhofJRqLEg6EWdi+kI5gR72H\nWHNcIdThObSp36iETWoRj9vn8bjNJOiKq9FR+9yY6V4rnW+lKMURgd4FaXoXxDh2bSxvm3Qahg77\nM+JqX2BaGOHhwQBDh+zy5ONtefvx+Q2LFhdPhLFgUUq/sy2MhvPVEQ3ny1BOOF8yaS88brllgEsu\nGZgSTflSiBcSS63spi8VrXVUOWq7mUmmk0QmI0RiEaKx6FTI3jdu+QaXX3U5Qb9+CaFwls9CIYHf\n+/om/vpvNmpIYAVorZ7KmW+2SyXh8GBg2twsbwbCocMz+yECAUPf0gTp9L9y4vOvzPZmLbPPe3rn\nLuOgTaH/FX7yg7uJTw7T1dXH2952Ie9//waOOWbu56HPRKOH86mIqiMqojLkE1HuhO3ciwsRK4bO\nOEP43e9M3kQP7vNQSC8uCqG1jipHbVeYicREVm2nkdgIAL3hXjpDnRy/5HieGGyceimNSr65VvE4\nvO7Fa/nO/U/Ym0mOV8stLBwMQTCQ7cFSMjRarZ5mQm03nXhcOJSVcTDA4IHsRBgjETe8RYD8/xnh\ncNp6r5bmT4SxZFmSzq501eP97a9+wYevuppkcj2p5GXAGmAHweAXCAY/z7e+dQdnn13/jMheGl1E\naTif0lBMTMD+/fZiIZ3O9ih1dmZ7lj7wgWs59lidt1QpWuuoctR22RhjiMajDE0MEY1HGY2NEo1H\naQu0sbh9Me3BzKShDVdovZRScGtS5c63+vt/3MCaNdPneXprYY2PZ7IHegVVKJRJyz4f0Vo9laO2\nm04oZFi+KsHyVYmCbSYnhcH9Ab522/t43ov3ZQksV3iNj/nZvTPE7p2FE+p0dKam1dDKTYrR1l74\nxt6eXTv58FVXE5v8Ptm1OY8hkfgIicQ5XHDBuTz88IMN6ZFqVNQTVUfUE5VhaAh27LAXA8Uy4rkX\nAYqi1J9EKkEkFiEyaUP2ovEosVSMrlAXPeEeAj79ss4FheaExhOZ+VbeFOwwPUNgMKQp2BWlHrgZ\nBwed5BeDeVK8xyZnvkvc1TM9EYbr2br3uwPcf99SUsnrC+4fDF7NO94R4+abb6rl4VVFo3uiVETV\nERVRGVIpG9Ln82WnEFcUpfEYT4xn1XYaiY3g9/npCffQGeyc+uNT6os3JDpXZLlzS73iSlOwK0rj\nYQyMjkxP7e6toTV4IEAiUUxo9QO/Bop5mbbS07OOSGRfbQ+gClREKQVREaUoSrOQNmlGYiOZ2k6x\nEcYSY7QH2+kN9xIOhOs9RKVEXAGVm8jCGxaYSE6fbxXyFg9WJ6OiNAzpNESG/JnEFweyk2I8/n9d\nQIzis3gS+HztpFLJORr1zKiIUgqiIkpRlEYnnooTmXQK48btXKdEKkFXqIvucLeG7LUIhVKwJ7zC\nyuO1Sqfz17fSuamK0nicf+Y6xsceRD1RtUX//RRFUZRpjMXHsrLsRWNRAr4A3eFuDdlrQdysp6EQ\n0JlZ76ZgL6V4cCKRXYR4ymsV1PlWilJPXnX2G7nnu5tnmBO1mYsvvnAOR9X86D0jpWnROj3Vofar\nnFa1XdqkGZoYYtvQNp4Zeobtw9vZNbKLZDpJf1c/y7uX0xXqqkpAbbphUw1HPP+Ya/u581S7umz5\niWXLYPVqOPJIWLPGLkccAatW2WXpUtvW54NYzCYN2rsH9u2DQ4cgEslkD5zrIIw7b9Vzr1LUdtVR\nb/udf9FFBAKfBx4o0OIBgsHNXH75e+ZyWE2PhvPVEQ3nqw6t1VMdar/KaTXbxZIxhieHiUxGGE3Y\n+eThFHQAACAASURBVE4pk6I71E13qBu/r3Y5sdf2rdU6UVXQ6PbL9VrlFg/2hgamUvlDAmcrBbvW\nOqoctV11NIL9MnWiLiOVXA+sBnYSDG4mGNysdaIqQMP5lKZFa/VUh9qvclrBdsYYxhJjWVn2orEo\noUBoqjDubKB1oqqj0e3nCqGOjsy6QvOt4nGbgt0VVqOj9rlbIzBXYFU730prHVWO2q46GsF+p647\ng8987et8+ytf5Sc/eAnxyWG6u/u4+OILufxyrQ9VCeqJqiPqiVIUZa5JpVNEYpFMlr34CJOJSTpD\nnXSHuwn5Cxd8VJRa4s63KuS1yp135fNpCnZFqQX/+8x2nn/UGl73ouPwNfCERfVEKYqiKHVnMjlp\nvU6TNlHESGwEg6E71E1fRx8+0SmyytzirQvoxfVM5RNX7raJSYhG7Ws3BXswkC2yFEVRZhMVUYqi\nKC2KMYbR+ChDk0NEY1GbojwWJRwIs7B9IR3Bjpk7UZQ5JhCwS3t79vp8wspb2yqZzCStSKWyBVUo\nZJ/P1nwrRVHmHyqiFEVRWoxkOklkMkIkFiEai06F7HWHu1nevZygX2/TK82HG8LX6ZmuNzXfKldc\nJex8KzccMBq1jzA9HDAY0hTsiqKUj4ooRVGUFmEiMZFV22kkNgJAb7iXJR1LNGRPaTmy6lt5SKWy\nwwC9IiuZtM9jMRgbs+v8fp1vpShKeeg/qtK0tGqtnrlC7Vc5jWQ7YwwjsRF2DO9g69BWdgzvYGdk\nJxOJCRa3L2ZVzyq6w90NI6C0TlR1qP1Kw++Htjbo6YHFi2H5crj765s48khb52rNGvvo1rfq67MZ\nBUXsfKtDh2CPW9/qsPVkTUxYATYfqXedo2ZH7deaaHa+OqLZ+aqj1Wr1zDVqv8ppBNslUgkisQiR\nSRuyF41HiaVidIW66An3EPA1ZqBBo9c5anTUfpVTyHaFUrAncuZbuaGB6XTGYxUIWC9YLVKwNzKN\nUOeomWk0+2l2vtrQmP+yilICrVCrp56o/SqnnrYbT4xn1XYaiY3g9/npCfewNLh06k+nUWn0OkeN\njtqvcgrZLisk0DPfyk3BPm3OlSOwXHE1MmKfi+TMtQpCINga860aoc5RM6P2a03UE1VH1BOlKEop\npE2akdhIprZTbISxxBjtwXZ6w72EA+GZO1EUpSakUvnnWhWqb6XzrZRGQz1RtUE9UYqiKA1KPBUn\nMukUxo2PEo1HSaQSdIW6WNmzsmFD9hSllfH7bfr1fCnYixUPTibtvKqRESvEvKLKXTQFu6I0D/oP\nrCiK0mCMxceysuxFY1ECvgDd4W46g50NH7KnKPMRVwh1eMqvFZtv5Z1rNTpqn6fT2V4rd55V7ld+\nptf5mK19pq3L3aeEfhWlGVERpSiK0gCkTTrL6zQSG2E8MU5nqJP+rn5C/tDMnSiK0lDMNN+qkNdq\nKomFG+0/Q9R/7qyAmV6X2mYmZuq3lPd1qUQolivGSumjJu+bb58ajCXvW1Wwj84iqQ0qohRFUepI\nLBljeHKYyGSE0YQVTymTojvUzar2Vfh9Gt+jKK2GzwfhsF28uJ4pV1Cl03b9TBe9syWipq0qs99S\nRdS0scw4kMqOuZKx1Ot9a9FPoT47Oloj4Um9URGlNC0DAwMNVa+n2VD7VU61tjPGMJYYy8qyF41F\nCQVC9IZ76Qx1ztxJk7Lphk1svHJjvYfRtKj9KqcZbBcI2CV3vlW9mW3bzYYInA0RUtL75nmfz920\niXdenrFfLY6nkuNzX0sUlvRpWGW1aHa+OqLZ+aqjEWr1NDNqv8qp1HapdIpILJLJshcfYTIxSWeo\nk+5w97wI2dM6R9Wh9qsctV3lqO2qo9Hst314O2t613Dc4uMaeo6tZudTlFlC6xxVh9qvcsq13WRy\n0nqdJm2iiJHYCAZDd6ibvo4+fNLCVTpz0DpH1aH2qxy1XeWo7apD7deaqCeqjqgnSlFaF2MMo/FR\nhiaHiMaiNkV5LEo4EKY73E1HsGPmThRFURSlxqgnqjaoJ0pRFKWGJNNJIpMRIrEI0Vh0KmSvO9zN\n8u7lBP3Beg9RURRFUZQqURGlKIpSAyYSE1m1nUZiIwD0hntZ0rFkXoXsKYqiKEqroyJKURSlQowx\nRONRhiaGiMajjMZGicajtAXaWNy+mPZgg6XYUhSlIVl38joG9w7O2K5veR+/euRXczAiRVFmQkWU\noihKmSRSCSKxCJFJG7IXjUeJpWJ0hbpY2bOSgE9/WhVFKZ3BvYMwUEK7gZmFlqIoc4PGlyhNi9Y4\nqg61X/mMJ8bZE93D5VdfzrahbWwf3s5wbJjOUCdH9BzBovZFKqBmYNMNm+o9hKZG7Vc5arvKUdtV\nh9qvNdHsfHVEs/NVh9Y5qg61X2mkTZqR2EimtlNshHVr1vHLHb+kN9xLOBCu9xCbikarl9JsqP0q\np5Ftt7ZvbUmeKAaoyzE0su2agUazn2bnqw16y1RpWrTOUXWo/YoTT8WJTDqFceN2rlMilaAr1MW7\nP/BulnYurfcQmxKtl1Idar/KaRXb/c13/4agL8jG0zbyvGXPK3m/X+74JQfHDxL0BQn6ncWXeQz5\nQ1OvQ/4QSzqWTM3rbBXb1Yt626/UOXf9K/vZt2vfHIyoNVBPVB1RT5SiNB5j8bGsLHvRWJSAL0B3\nuJvOYGdD37VTFKX+xFNx9o/tZ0F4Ad3h7pL2KccT5ba79ZxbOWPNGSWPa/3313P/jvtLbv/ZN3yW\nVx71ypLbX/eL6/jjvj9OE2khf2iaYAv6g7z5xDdz7KJjS+7/yUNPMhYfy+7LHyTkm96/3+cvud/5\nQDnnVyNdk6onSlEUpcFJm3SW12kkNsJ4YpzOUCf9Xf2E/KF6D1FRlDpjjGFocoj9o/vZP7afA2MH\npp7vH9vP/lG7bmhyCICPveZjnLP2nJqP44vnfZFEKsFJS04qa791R6yjr72PeDpOIpUgnoqTSCdI\npBJTj951XaGusvrfPrydxw4+VnL701efXpaIuuFXN/A/O/+npLZ+8fO5N36OV6x5Rcn9f+Z3n+Hp\nQ09nCTKvdy53/ZlrzmR59/KS+49MRjCYLLGnN+WaGxVRiqLMW2LJGMOTw0QmI4wmrHhKmRTdoW5W\nta/Su5mKokxxzc+v4ZuPf3PGdn7xs6RzCSmTmpVxvPyIl1e03yXPv6S2A8lh4MwBRmIjBQVaIu2s\nd54fvfDosvo/ZuExjMXHpvpwxWBu//FUnJRJlZ3k58FdD/LgrgdLbv/F875Yloh634/ex6+f/XXW\nulzvnFe0ffiVH+YFy19Qcv/f/tO32RPdk7dPZXZQEaUoyrzCGMNYwhOyF7Mhe6FAiN5wL52hznoP\nUVGUGpE2aQ5PHJ7mMdo/tp+zjjqLVx/96pL76uvsoyfcw9LOpfR39tPf2c/SLvt8al1XP4vbF8/L\nGzCre1fPav8ffMUHS2pnjCFlUmUXOH/3i9/NBcdfME3s5ROA8VScZV3Lyuq/I9jBgvCCbPHnLPmI\np+Jl9f+dLd/hod0PlbWPUh0qohRFmRek0ikisUgmy158hMnEJJ2hTpZ1L9O7dYrS5Dy0+yF+vPXH\nWWF2B8cPkkwn87Zf1L6oLBG18bSNvPcl763VcJVZQkQISPmXty9Z9ZJZGE2GW/78lqzXxpiCIi2R\nSrCie0VZ/Z//3PM5dcWpeT2B3+E7tTwUxaGpRZSIrAQ+BLwOWAzsBb4L/KsxZrjMvs4CNgAvBRYC\nh4BHgE8YY+7N094HXApcDJwMtDnv/1vgn40xT1d4WEqJDAwMaK2jKpgv9kulUwyOD9rCuPEoI7ER\nDIbuUDd9HX1l360EW/Nj45UbZ2G0rY/arjrmg/3c7yxAf1d/yfs9MfgEdz5857T1C9oW0N/Zz8R9\nE7zkopdMeY1O7j+5rHFV8ltRKn3L+0oqpNu3vG/WxlCM+XDezSb57CcihPyhmt3A+8vj/7LgNhVR\ns0PTZucTkaOBB4A+rHB6AjgNeBWwBVhnjBkqsa+PAh8AngXuAQaBJcCLgPuMMVfltO8E7gZeCfwB\n+AUwCawEXgFsMMb8sIT31ex8VaB1jqpjPtgvbdLsGtnFgbEDDE8MEw6E6Q530xHsqKrfRqv50Uyo\n7aqj2e03Gh+dMTHD4PggKZPir47/Kz5y1kdK7nvL4BYeePYB+rsy4XVLO5dO1XJrdtvVE7VdddTb\nfpqdb3ZoZk/UZ7ACaqMx5tPuShG5Ebgc+Dfg3TN1IiLrsQLqi8A7jTHJnO35AptvBc4E3mGM2Zyn\nz/kXDF0HtM5RdbS6/VwBtX90PyPxkZqG7NW75kczo7arjma23w+f+iGX/+jyktoubl9cdiHr5/Y9\nl+f2Pbfg9ma2Xb1R21WH2q81aUpPlOOFehrYZow5JmdbFzasDmCpMWaiSD8hrPdpHHhOroAqsM8L\ngN8DXzPGXFThIbh9qSdKUWYBY0zGAxUbZnnX8rIzNSmKYr9L0Xg04zHyeJGWdS3jXS9+V8l9PbT7\nIdZ/f/20pAxez1F/Zz9LOpfoHEVFqSHqiZodmvWqwq3+9uPcDcaYURH5FfAa7Pymnxfp5zXYsL2b\nACMibwBOxIbmPWSMyZfr8iLAAF8XkR7gXGAVdg7Vz4wxWys7JEVRaoExht3R3RwcP8jw5DDLupap\ngFKUEtgT3cOXH/6yFUmjB6bE0kQy/73IE5ecWJaIOnXFqfzxnX/U2jiKMseUOueuf2XpcxCV5hVR\na7FC5skC25/CCqTjKC6iTnX6iWPnNp3kvAYQEbkfuMAY4z3zXuw8HgncBizydigin8GGGDaOlFeU\neYIxhj3RPRwYO8DhicMs61pG0B+s97AUZU4xxjA8OUz0/7N37/Fx1XX+x1/fJDNJZiZJm6bJpGkL\ntFyKi66rgrpdBZeri1iK7q4u7ooXUFTUFV3Bn7+1uKwKq4hbLoIgF9FFV27CCkVYREHkIvxQkatQ\nSdLMpG3aJDOTZG7f3x8nmaYhaZIzk5wzM+/ngzzSnHPmnG8+tEk++Zzz+aSH59V2OplOcvUTV79i\neygQKlSMJrfzXr1kfi2tlTyJeOPB3z2418dbd29lv5b9OHjZwfp3WYRyTaJaxt8PzrB/YvuSWc7T\nDhjgc8BTwHrgSeAA4Os4Xf9+hNOsYuprLgJuBr4I9AJvBL4NnAn0A1+e82cjIkWz1tKX6NsrgdIt\nQVJK61+9nh19c+ugNvWHllIZy445DRn20ZihP9nPWG6MrqYu/vf9/zvnc69oWsFn3vSZvZOlSAeR\nYGRBPhcRkXJWrklUqUz0K80AJ1lru8c/fsoYcwpOx78jjTFvtNY+POU1TwPvmVRxus8Y87fA48Bn\njDFfmcszViJSGrFEjP5EPztTOzX3SRbEjr4dc3quYC63zbgxMDLAm69+85yObQo20VzfjLV2zr9p\nDgfDfOQNHylmiSIiVWPhhh4srIlKU8sM+ye2zzYramL/E5MSKADGG1JsGf/wiCmvscDtU2/Zs9b+\nFngJaAIOneXaBcaYGd+OOuoojDEzzvPZtGlT1e6fmHPk1/X5fX8lxe+zX/hsoTVyR6SjkEBtvmAz\nh7QdwuYLNk/7erf7Jz5eqPNX8v6pf/bb+uazn/twkqoZbhqfeP1FX72Irbu38nDPw/zk2Z/wnce/\nw/m/OJ93nPGOeV1/ScMS6u6vozPSyWs7XsvaJ9fCJnjzC2/mwmMv5LqTr+OuU+/i8TMe57EzHuPo\nPx3NuuXrfBu/xd4/3b9jP63Pz/unO8ZP6/P7fl/G78LN1NTUeP79e+Ln3One/K5cu/N9CPgOcIW1\n9sxp9t+F80zUMdbaGZ+JMsZ8ALgauNNae+I0+y8EzgbOtdZeOL7tOuB9wDnW2v+Y5jWP4MyXerO1\n9pFZPg915ytCNcw5WkiVEr/+ZD+x4RjxZJyOSAcNdQ0Lfk2vZ36Us3KO3Xw6XK2/en3hFrvh9PCM\nhz52+mM01TfNaw3lGj+vKXbuKXbF8Vv8yuWZKHXnWxgTidFxU3eMtzhfj9O2fLruepPdi1NVetUM\n+w8bf//SpG33AP84ad/kaweBg8Y/3DrLtaVIlT7naKFVQvy2J7c7z4Gk+mkPty9KAgWa+VGMaond\ng917nokK1AQKzxdNbszQEemYd+fIaonfQlDs3FPsiqP4VaayrETBXtWmT1lrL5m0/SLg08Dl1tqP\nj2+rA9YCGWvti1POcytwEnC2tfbiSduPA+4EdgEHWGuHx7eHcLoCtgFvsdY+Ouk15wNfAO611h47\nh89BlSgRl3akdhAbjhFLxmgLtREKhLxeklS4+VSirnzsysL8o6UNS339214RqS6qRJVGuVaiAD4G\nPAh8yxhzNE6jhzcBRwHP4HTNm9A1vn8rsGbKeT4OvBb4xvicqCfGj9kAZIEPTyRQANbalDHmNOB2\n4JfGmJvZ053vr4AYMPfBGSIybztTO50EKhFjWWiZEihZENZa0rk09XX1837tkfsfuQArEhERvyjX\nxhKMV5TeAFyL0/jhMzityb+J8zzSrqkvYc8MqMnn6cV5hukS4EDgk8BbgduA9dbaW6d5zT3j1/wJ\ncDRwFrAauAx4nQbuiiycXSO76Ev0EUvEaA21Eg6GvV6SVJhYIsYVj13BCd8/gUseuWT2F4iISNUp\n50rURAL0oTkc9yegdh/7dwKfGn+b67V/B/zdXI8XkeLtHt3NtuFtxBNxWkOtml8jJTOSGeGeF+/h\nlmdu4Vfdv8KO/87twe4HOZuzPV6diIj4TVknUSJSPQZHB+kd6iWWiLGkYYkSKCmatZYnYk9wy9O3\n8NMXfkoinQCcRhDHrDmGjYduZP2q9R6vUkRE/Khsb+cTmWn2gMxNOcVvaGyI3mEngWqub55XS+iF\nMOPcIJmVH2K3bXgblz92OSfccALvvem9/OgPPyKRTvCajtfwpSO/xAMffICLT7iYI/c7cq/ueW2d\nbU5jiVne2jrbFmztfohfuVLs3FPsiqP4Vaay7c5XCdSdrziVMufIK+USv+GxYXqGeuhL9BEJRljS\nsMTrJflu5kc58UPs/u6//44n408CsDy0nA3rNrBx3UYObD3Q03XNhR/iV64UO/cUu+L4LX7qzlca\nup1PylYlzDnyUjnEL5FOFG7hCwfCvkigQDM/iuGH2P3tq/6WFU0rCrfrzXdWk5f8EL9ypdi5p9gV\nR/GrTKpEeUiVKJGZJdNJeoZ62Da8jcZAI62NrV4vSUREpOypElUaeiZKRHwnlUkVbuFrqGtQAiUi\nIiK+oiRKRHxlJDNC92A3sUSMYG2QZaFlXi9JfMpay2PbHuOrv/wquXzO6+WIiEgVKZ8bwUWk4o1m\nR+kZ6iGejFNXU0dbaOG6nEn56h3q5bZnb+OWZ27h5cGXAXjrfm9l/Wq1IxcRkcWhJEpEfGEsO1ao\nQNWYGpaHl3u9JPGRVCbF3X+8m1ueuYVf9/y6sL093M7Jh5zMfkv283B1IiJSbXQ7n5Stcppz5Ed+\nil86l3YSqGQMcNpO+5lmfrg3n9hN3K73hXu/wPrvrufz93yeX/f8mvraek486ESuOukqfv7+n3P2\nX57NyuaVC7hq/9DfPfcUO/cUu+IofpVJ3fk8pO58xSmXOUd+5Zf4TSRQfYk+rLW0h9t93S0I/Dfz\no5zMNXa/jf+Wz2z5DN1D3YVtfxH9Czau28jbD3o7zfXNC7lM39LfPfcUO/cUu+L4LX7qzlcaup1P\nylY5zDnyMz/EL5PL0DPUQywRI2/zdIQ7fP0FfYJmfrg319ital5FLBGjI9zByetO5uR1J7Nm6ZoF\nXp3/6e+ee4qde4pdcRS/yqRKlIdUiZJqls1nnQrUcB+ZfIaOSAc1RncYyx5Pb3+ag5cdTG1NrddL\nERGpGKpElYYqUSKy6CYSqHgiTjqfJhqJKoGSVzh0+aFeL0FERGRa+qlFRBZVLp+jZ6iH/mQ/I9kR\nJVBVIpVJEU/EvV6GiIhISegnFxFZNBMJVDwRJ5VJKYGqcHmb55HeRzj3nnNZ/931/Mev/sPrJYmI\niJSEbucTkUWRt3l6h3uJJ+MkM0k6I5161qVCdQ91c9szzjDcnqGewvaBkQGstb6+B19ERGQu9Ctg\nKVt+mnNUjhYzfnmbp3eol/5kP8PpYaKRaFknUJr58UrJdJJbnr6Ff7zlHznm+mPY/MhmeoZ6iEai\nfPQNH2XL+7bw3Q3f5ZILL/F6qWVNf/fcU+zcU+yKo/hVJnXn85C68xXHL3OOytVixc9a61SgEnF2\nj+4mGokSqA0s+HUXkt9mfnjp0d5Huenpm9jyxy2kMikAGuoaOHbNsZxy6Cm8seuNeyXMil1xFD/3\nFDv3FLvi+C1+6s5XGrqdT8qWH+YclbPFiN9EAtWf7K+YBAo082Oy6568jp+9+DMAXtf5Ok5Zdwon\nHHgCTfVN0x6v2BVH8XNPsXNPsSuO4leZVInykCpRUsmstWwb3kY8GWdgZIBoJEqwNuj1sqTEHup+\niId7H+bkdSez/5L9vV6OiIjMQpWo0lAS5SElUVKprLXEEjFiiRg7R3YqgRIREfEJJVGlocYSIlJy\n8WSceCLOztROOsIdSqBERESkoiiJEpGSiiecBGpHagcdkQ7q6+q9XpLMQSKd4KY/3MQHb/sgiXTC\n6+WIiIj4mhpLiEjJ9Cf7iSfi9Cf7lUCVgbzN83Dvw9zy9C3c/ce7GcmOAHDXC3fx7le92+PViYiI\n+JcqUVK2NCeqOKWO3/bkdieBSvXTHm6noa6hpOf3k3Kf+fHy4Mt86+FvcfT1R3Paradx27O3MZId\n4fAVh/OVv/4KJxx4woJdu9xj5zXFzz3Fzj3FrjiKX2VSYwkPqbFEcTQnqjiljN+O1A5iwzFiyRht\noTZCgVBJzutXfpv5MReJdIK7XriLW565hce2PVbY3tXUxcnrTubkdSezumX1gq+jHGPnJ4qfe4qd\ne4pdcfwWPzWWKA3dzidlS3OiilOq+A2MDDgJVCLGstCyik+goPxmfjzV/xSn3nxq4Xa9xrpGjl97\nPBsP3cgRXUdQYxbvpoRyi53fKH7uKXbuKXbFUfwqkypRHlIlSsrdrpFd9A73EhuO0RpqJRKMeL0k\nmUYml+HIa49kzdI1bFy3keMPPF7/r0REqpQqUaWhSpSIuLJ7dLczTDcRVwLlc4HaAFvet4Wm+iav\nlyIiIlIR1FhCROZtcHSQbcPbiCViLGlYogSqDCiBEhERKR0lUSIyL0NjQ/QO99I33EdzfbN+OPfA\nn3b/iaf6n/J6GSIiIlVLt/OJyJwNjw3TO9RLLBGjqb6JloYWr5dUNYbHhrnrhbu4+ZmbebzvcY5Y\ncQTfO+V7Xi9LRESkKqkSJWVLc6KKM9/4JdPJQgIVDoRZ0rBkYRZWBhZr5kcun+PBlx/k7LvP5q+u\n+Su+eN8XebzvcUKBECtbVpLNZxdlHaWkeSnFUfzcU+zcU+yKo/hVJnXn85C68xVHc6KKM5/4JdNJ\neoZ66Ev00VDXQGtj6wKvzt8WeubHS7te4tZnbuXWZ28llogVth/RdQSnrDuF49YeRzgYXrDrLyS/\nzUspN4qfe4qde4pdcfwWP3XnKw3dzidlS3OiijPX+KUyqUICVV9bX/UJFCzczI87nruDG357A0/E\nnihsW9m8ko3rNrJh3QZWNa9akOsuJs1LKY7i555i555iVxzFrzKpEuUhVaLE70YyI/QM9bBteBuB\n2gBtoTavl1TRzv/F+Xzvt98jFAhxwoEncMq6U3j9itcv6jBcERGpbKpElYYqUSIyrdHsaKECVVdT\npwRqEbz3sPdyWPthHLvm2LK9XU9ERKQaKIkSkVcYy47RM9hDLBGjxtQogVoka1vXsrZ1rdfLEBER\nkVnoHhER2Us6l6Z7sJu+ZB8Ay0PLfV3u9zPdqisiIlKZlESJSEE6l6ZnqIdYMgYW2sPtSqBceHHX\ni1z00EW87bq30TPU4/VyREREpMSUREnZ0pyo4kyNXyaXcZ6BGu4jb/NKoPZhupkfQ2ND3Pj7G/n7\n//573v79t3PFb66gL9HHz/74Mw9W6F+al1Icxc89xc49xa44il9lUnc+D6k7X3E0J6o4k+OXzWfp\nHuwmloiRzqXpiHSoI9w+TMz8yOVz/Kr7V9zyzC387MWfkc6lAQgHwrz9oLezcd1GXt/5eiWjk/ht\nXkq5UfzcU+zcU+yK47f4qTtfaaixhJQtzYkqzkT8svksPUM9xBNxxnJjRCNRJVCz+IdP/ANf/9XX\nue3Z2+hP9gNgMPzlqr/k5HUnc+yaYwkFQh6v0p80L6U4ip97ip17il1xFL/KpEqUh1SJEq/l8jm6\nh7qJJ+KkMimikSi1NbVeL8vXXhh4gRN/cGLh4/1a9mPjoRvZcMgGVjSt8HBlIiIis1MlqjRUiRKp\nUrl8jp6hHvqT/SQzSTojnUqg5mDt0rW8rvN1rF26lo2HbuR10df5+puQiIhUjolfvFss1trC+4lt\nE8dM/fPUbVK8klWijDGvs9Y+XpKTVQlVosQreZsv3MI3nB4mGolSV6PfqcyVtVaJk4hImZou+Zic\nZEw9ZqbkZOpr55rMFK4xw2stFue/6V9rMBhjCu8nTN02+Tjnvz3bl4eWc9Cyg3z9vczvlahSJlF5\n4FHgCuBGa22qJCeuYEqixAt5m6d3qJd4Ms7g2CCdkU4lUCIiMi9uk4yZEpWpx852ncnHv+I6E6+3\nrzyntXZPMjE16Zgm+Zi8bSIRmZyMzCeZKZxnLteYZS3FbgsFQjTXN8/x/7Y3qimJuh04Aadt+jDw\nPeBKa+3vSnKBCqQkShabtZbe4V7iiTi7R3cTjUQJ1Aa8XlZJrX/1enb07Zj1uLbONu5/8n4efPlB\nxnJjHLf2uEVYnYjI7Ky1ZPKZklVMFroaAuyViEyXpExsm5yIuElmCtv3UXGZ6bXTrXmhkpSF3FYt\nqiaJAjDGrAQ+DHwQWAlY4Nc41akfWmvHSnYx53pdwL8BxwPLgD7gVuA8a+3ueZ7raOATwJuA3VOB\nxgAAIABJREFUpcBO4HfAxdbauyYdtx/w0j5OdaO19h/meE0lUUXYtGmTZkXNg7WWbcPbiCfj7BrZ\nxU2X38Snz/m018squUPaDoFNczhwEyy/cDnbU9tZ3bKau99395y/QW2+YDNnff6sYpZZtRS74ih+\n7vktdnmbJ5vPks6lyeazhbdMLkMun6O2prbwnOrUJGGvasY8k5kJU1+7r2rIpRdeylmfP2teCUmp\nt5UyIVls+nnFnapKogonNaYGOBE4gz3Vqd3A9TjVqadLcI01wENAG07i9CxwBPDXwDPAemvtrjme\n60Lgs0A3cCewA1gOvB64x1p7zqRjJ5Ko/zd+3al+b629eY7XVRJVBM2JmjtrLX2JPmKJGAMjA0Qj\nUV7d8Wpfza0olfkkUWyC/Zfsz8Z1G/ngX3yQYG1wzteoxNgtBsWuOIqfe17ELpfPkclnCslRNp8t\nfJzP5wnUBqirrSNgAs6fa+oKb8Ha4LRJ1GImLhPbArUBcvncKxI1mRv9vOKO35OoBXkQwlqbB24H\nbh+vTn0I+CjwSeCTxphfApdYa39cxGUux0mgzrLWXjax0RjzDeCfgX8HPjbbSYwxp+MkUNcAH7HW\nZqfsn6ld2f+z1n7Z5dqlBDQnam6stcQSMeIJpwIVjUQJ1gY1twK48V038troa+f9A4Fi555iVxzF\nz72FiJ21du8qUj5TSJay+SwGQ12tkxQFagI0BhppMk1O4lTjJE7B2mDhz5Pf+ylR+dKXvqT5gUXQ\nzyuVacHnRBljjgM+ApyEk7TtwLn1DpxqzrustVvnec41wAvAS9batVP2RXBu6wNot9aO7OM8QZzq\nUwo4aGoCNcNrJipR11prPzifdU9zLlWiZMHFEjFiwzF2pHbQEemgvq7e6yUtqPlUovQbfRGZzcTz\nSZOTo2w+Szqfdm67M7VOFcnUFRKmYE1wr0RpuoRJDX1E9q0qK1HGmHac56JOB/Yf3/wznOrR7ePb\nPodzu99lwN/M8xJvG39/99Qd1tqEMeZB4Fic55vu28d5jsW5be8iwBpjTgT+DBgFHrHW/nofr11h\njDkDJyHcCTykJhriN/FEnHgizo7UDtoj7RWfQImIuJHL5/a61W5ywpTL5woJUV1NHYHaAI11jbMm\nSYGagGbviVSwkiZR480ZPgJsAALAAPBN4HJr7R8nHfoicOZ4JejvXFzqEJymFc/NsP95nATpYPad\nRB0+fp408ARw2PjH45+O+QXwbmvtdK2+jh1/Y9LxPwfeb63tnuPnIbJg+pP9xBNx+pP9tIfbaahr\n8HpJIiKe2auKNKWZg7W2kCAFagI01DXs9fHEM0rTJUx+uu1ORBZPyZIoY8zzwBqc5pKP4lSYfmit\nHd3Hy54Hwi4u1zL+fnCG/RPbl8xynnac9X4OeApYDzwJHAB8Hafr349wmlVMSAFfxmkq8eL4ttfg\n3ED018A9xpjX7us2QpGFtj253UmgUk4C1Rho9HpJIiILauK2u6md7ia21VCzV/OGUCC0V3VpcgVp\ncsJUV1OnRElEXqGUlagu4FrgMmvtb+b4mu/jdNjzysRTkhngpEkVpKeMMafgdPw70hjzRmvtwwDW\n2u288omLB4wxxwMP4HQI/DCweaEXLzKdnamdzm18yThtoTYlUCJSMSbagk/tdJfJZ8jmsoWEqM44\n7+uD9U4iNEsjBz2fJCLzVcpWKyustR+aRwKFtbbbWnu/i2tNVJpaZtg/sX22WVET+5+YegveeCVp\ny/iHR8y2IGttDrgKp7L11tmOn8wYM+PbUUcdhTFmxvkCmzZtqtr9E3MX/Lo+L/YPjAwUWpm3NrZy\n9UVXc0jbIWy+4JU5/eYLNrP5gs0z7p84ppz3cx/OrzxmuKnX7fknPvb68yvH/VP/7Lf1+X1/NcQv\nl88xlh3jG1/5Boe0HcLXzv8afcN9vDz4Mi/vfpn+ZD+JTIIrvn4F61ev5wf/+QM6wh3sv2R/Dlh6\nAGuWrmFt61p+fNmPed2K13HjpTdy8LKD+d5/fo/VLauJRqIsCy3joq9eRCgY4vwvnz/t+vz29d3L\n/TN9D/bL+vy+X/Gbef/Ez7nTvfndgnfnWwjGmA8B3wGusNaeOc3+u3CeVzrGWjvjM1HGmA8AVwN3\nWmtPnGb/hcDZwLnW2gvnsK534tzmd5e1dtZmGerOVxzNXdjbrpFd9A73EhuO0RpqJRKM7PP4Sp03\ns/7V69nRN91jjHtr62zjwd896OoalRq7xaDYFadS4je5ccPUZg5T24JP7nw3WyOHff3gpe8Z7il2\nxVH83Kma7nzGmI/iPFv0Fmvttmn2dwG/AL5irb26yMtNJEbHTXOdCM6zTSlgX931AO7FaSTxqhn2\nHzb+/qU5ruvN4+9f3OdRUhKau7DH7tHdbBveRjwRZ2nj0lkTKKjceTNuE6P5qNTYLQbFrjjlEr/J\nzydNlzDVmtrCs0mB2oDzfFL93s8nTdfIoZjb7vQ9wz3FrjiKX2UqWSVqvJNdjbX2r/ZxzP1A3lr7\ntpmOmcf1JqpNn7LWXjJp+0XAp3E6An58fFsdsBbIWGtfnHKeW3FmWJ1trb140vbjgDuBXcAB1trh\n8e1/gTNo1045z9HAHUAQWD9Le/SJ16gSJUUbHB2kd7iXvuE+WhpaaK5v9npJIlIFJp5PmtrpLpPL\nOPOTamoLic/khGm6wbKTq0pqCy4i4P9KVCmTqDjw44nEZYZjNuO0DO8swfXWAA/idNj7CfA0zlyo\no4BncBKZXePHTgzI3WqtXTPlPF3j51kF/C9Oq/M1OG3a88DfW2tvnXT8fcBBwK+AnvHNr8HpzGeB\nL1prvzrHz0FJlBRleGyY7qFu+ob7aK5vpqVhpscERUTmb6ZOd5PbgtfV1hEwgb06301tCT61qlRj\nSvlItohUIr8nUaVsR9PC7I0choClpbiYtfZFY8wbcNqNnwC8HejDmUv1ZWvt1Pbnlj0zoCafp9cY\n83rgX4F3Am8ZX+dtwNestY9Necn1wEbgDePXDQBx4EbgUmvtwt9LJAIk0gl6hnqIJWI01TdVVQI1\nmh3l+Z3P8+qOV3u9FJGyZq2d8dmkyc8nTbT6DgVCr3g+aepzSRPVp3J4MFxExK1SVqJeAn5vrT1p\nH8fcDrzWWruqJBctc6pEiVvJdJLuwW76En00BhppbWz1ekmLJp1L8/GffpyHex7m8hMvZ/3q9V4v\nScTXJp5PmvpsUiY/ftudqd2reUNdTR3BmuCsjRzUFlxEFlI1VaLuA/7RGPNX1toHpu40xrwFp1p0\nQwmvKVJ1UpmUU4FKxqougcrms3z27s/yiz/9gqUNS+mIdHi9JBFfyOVzM1aTcvncXtWkQG2AxrrG\nOXW70/NJIiLTK+VNyRcAaeAeY8xFxpjjjDF/Nv7+m8DPgLHx40SKNtPsgUo2khmhe7CbWCJGfW19\nUQnUjLOVfCpv85x777ls+eMWmuub+e6G73Jg64GerKXcYucnip172XyWb371mwyPDTMwMkB/sp9t\nw9v40+4/0TPUw47UDlKZFNZaGuoaWNKwhM6mzsLspIn5SWuXruXAZQdy8LKDOXjZwaxZuoZVLauI\nRqK0NrbSVN9EQ11DxSVQ1fg9o1QUu+IofpWppHOijDEnAj8Amtj7+SOD85zRP1hrf1qyC5Y53c5X\nnGqbuzCaHS3cwldXU0dbqK2o85XTvBlrLV/6+Zf44VM/JBQIcc2Ga3ht9LWeraecYuc3it3MJrcF\nn66ZQ62p5Zi1x/DAnx7Yq9PddF3vJjdy0PNJjmr7nlFKil1xFD93qul2Pqy1/zPeNe804I3AEpxm\nE78GrrPW7izl9aS6VdPchckJVK2pLTqBgvKaN/O1B77GD5/6IfW19Xz7xG97mkBB+cTOj6o9dhNt\nwad2usvkM2Rz2UJCVGec9/XBeicRGr/17tOf/zRrW9e+ImGqtKrRQqim7xmlptgVR/GrTCWtRMn8\nqBIlczGWHSskUMYYloeWV9Vvlb/18Le47NHLCNQEuPTESzlyvyO9XpLIPk1+Pmni2aSJhCmfzzsJ\nUW2AgHGSo4mEaSKBmq7bndqCi0i1qapKlIiUVjqXdp6BSsYAqi6BuvI3V3LZo5dRa2q56PiLlECJ\nr+TyOUayI6Rz6WnbgtfVONWjxkAjTaZpTo0cqunft4hIOVuQJMoYsxLoAuqn22+t/cVCXFekkmRy\nGXqGeogn41hraQ+3V9UPWDf89ga+8dA3MBi+esxXOW7tcV4vSYRsPksqkyKVSTGaGaUx2Eh9bT3h\nYPgVzydNHTA7MT9JRETKX0m/mhtjjsMZdrtulkN187bIPmRyGbqHuokNx8jZHB3hjqpKoPI2z31b\n7wPgvKPOY8MhGzxekVSzbD5LMp0klUmRzqUJBUI0BZuIhqOEgiEa6xr3Spj0fJKISOUr5bDdNwG/\nALYDPwbOAu4HngXeAhwK/AR4wlp7XkkuWub0TJRMJ5vPFtqYp3NpOiIdVfksRDqX5pcv/5KjDzja\n66VIFcrkMiQzTuKUzWUJBUKFt3AwTFN9E+FAWAmTiMgC8fszUaX8yexcYBQ43Fr7qfFt91lrPwoc\nBpwPHIOTYIkUrRLnLmTzWecWvkScsdzYgiZQfp/XE6wN+jaB8nvs/MzPsUvn0uwa2UXvUC99w31k\nc1mWNixldctqDlh6AGtbnflKXc1dNNc3e5JAVeLXvcWi2Lmn2BVH8atMpaxE9QN3W2vfN/5xHviy\ntXbTpGMeBf5krX13SS5a5lSJKk6lzV3I5XN0D3UTT8RJZVJEI9EF/SFN83rcU+zc81vs0rk0iXSi\nMKQ2HAg7FadgiHBgT8XJL7fTVtrXvcWk2Lmn2BVH8XPH75WoUj4T1QK8POnjNBCecsyDwD+U8JpS\nxSpp7kIun6NnqIf+ZD/JTJLOSOeC/5a72uf1FEOxc88PsRvLjpHMJElmkmAhHAizPLR8z616wSZC\ngZBvEqfJKunr3mJT7NxT7Iqj+FWmUlaiuoE7rLVnjn/8MvCYtfaUScdcCvyTtbapJBctc6pECThN\nFCZu4RtKD9EZ6VQHL5ESG82OFppDGGMIB8KEA2EaA41EghGa6ptorGv0ZeIkIlKNqqkS9RywdtLH\nvwbebow52Fr7nDEmCrwLeL6E1xQpa3mbp3eol/5kvxIokRKy1jqJ03hziFpTSygQoiPSQSgQchKn\nYBONgUavlyoiImWolD+t3QWcb4xptdYOAN8CTgGeMMb8ATgIaAL+pYTXFClb1lq2DW+jP9nP4Ogg\n0UhUCZRIEay1jGRHSKaTjGRHqKupIxQI0Rnp3JM41TfRUNfg9VJFRKTMlfJ2vmacNuZ/sNYOj2/b\nCPwbToVqK/BNa+2VJblgBdDtfNVrIoGKJ+PsGtlFR6SDYG3Q62UtmkwuQ6A24PUypAJYawvDb1OZ\nFMHaYOHZpskVp/q6aWe/i4iIT/n9dr6SJVEyf0qiqpO1lr5EH7FEjIGRAaKRaFUlUPFEnNNuO43P\nvOkzHLv2WK+XI2Uob/N7JU4NdQ17ZjgFwoWKUzX9uxIRqTR+T6JKNoDGGPNdY8w/l+p8IrMp17kL\nsUSM/kQ/AylvEygv5vXsTO3ktNtO48VdL3L1E1eTt/lFX0Mp+HnWkd+5jV0unyORThBPxOke7CaZ\nTtJY18iq5lXsv2R/1ixdw0GtB7Hfkv1YFlpWsQlUuX7d8wPFzj3FrjiKX2Uq5e18ozi3651bkhNW\nAVWiilOOcxdiiRjxRJztye10RDo8vcVosef17B7dzT/d8k88u/NZDl52MN/b+D2WNCxZtOuXkt9m\nHZWT+cQul88Vqk2j2VEaAg2FOU4TFadIMFJVt4aW49c9v1Ds3FPsiqP4ueP3SlQpn2LfCrSX8Hwi\n+1RucxfiiXghgWqPtHv+jMZizutJpBOcfvvpPLvzWfZfsj/XbLimbBMo8Meso3I1W+yy+WwhcRrL\njtEYaCQcDLM8vLyQNEWCkaptwlJuX/f8RLFzT7ErjuJXmUpZifpX4KPAn1lrd5XkpBVOlajq0Z/s\nJzYcoz/Vz/LQ8qpqqzySGeH020/n0W2P0tXUxQ/e9QOikajXyxIfyeQyhcQpnUvv9XxTOLin4rTQ\nA6hFRMQ//F6JKmUSFQBuAlYDXwQetdbGS3LyCqUkqjrsSO2gb7iPeDJOW6iNUCDk9ZIWTTqX5sw7\nzuSB7gdoD7fzg1N+wKqWVV4vS3wgnUsXEqdsLltInEKBEJH6PRWnGlOyR3dFRKSMVFMSlZv4I7Cv\nk1prbXXehzGFkqjKtzO1s5BAtTa2Eg6GvV7SosnkMnzqrk9x70v30trYyg2n3MDapWtnf6FUrHQu\nTTLtDL/N2/zeidN40hQOhpU4iYiI75OoUiYzv2TfyZNIVRkYGSi0Mm8NVVcClcvnOOeec7j3pXtp\nqW/hmg3XKIGqUulcmkQ6QSqTwlpLOBBmWeMyQsFJiVMgXPhmKSIiUg5KlkRZa48q1blEyt2ukV3O\nMN1EnNZQK5FgxOslLaofPvVD7nj+DkKBEFe98yrWta3zekmyiMayYyQzSZKZJFiIBCMsDy3fq+IU\nCoSUOImISNnSPRNStvw6d2FwdLCQQC1pWOLbBGohZx397av+lne/6t1c+Y4reU3HaxbsOl7RnKhX\nGs2OsjO1k+7BbrantmMwdIQ6OGDpARyw9ADWtq5lzdI1XP71ywkHVXlyy69f98qBYueeYlccxa8y\nleyZKJk/PRNVHD/OXRgaG6JnqIe+4T5aGlporm/2ekkz0qwj9xQ75+vWaHaUZMZ5xqnW1BIOhgvP\nODUFm4gEI6/oROnHf7flRPFzT7FzT7ErjuLnTtU8EzXe4nwurLX230p1Xalefpu7MDw2TM9QD7FE\njOb6Zl8nUKBZR8Wo1thZaxnJjpBMJxnJjlBXU0c4EKYz0ukkTvVO4tRQ1zDjOfz277bcKH7uKXbu\nKXbFUfwqUym78+X3sXviIgYnidKwD1SJqiSJdILuwW76En1EgpGyHiQrMpm1llQmRTKTZCQzQrA2\nOG3Fyevh0SIiUlmqphIFvG2G7UuAw4FPAv8DfLuE1xTxXDKdpGfQqUCFAiElUFL28jbvJE7jFaeG\nugbCgbDTpj8QLlScgrVBr5cqIiLiiUV7JsoY82rgEeA91trbFuWiPqdKVPlLZVKFClRDXQOtja1e\nL0nElVw+V7hVbzQ76iROwTCNdY2Eg+FCxSlQG/B6qSIiUgX8Xola1MYSxpgbgQOstW9ctIv6mJKo\n8jaSGeHlwZeJJWIEa4MsCy3zekki85LL5wq36o1lx2gIOBWnUCBEOBAmEozQVN9EXY3mo4uIyOLy\nexK12N8ZXwZOWuRripTcaHaUnqEe4sk4gdqAEigpG9l8tnCrXjqXpjHQSCQYoT3c7iRNwSbCwbAS\nJxERkX1Y7DlRbwRGFvmaUqG8mrswlh2je7CbWCJGjamhLdTmyTqK5XbW0SO9j/CTZ39S4tWUl3Kb\nE5XJZQrzy3qHehnLjtFS38J+LftxwJIDWLt0LQe1HsTK5pW0NLQsaAKleSnFUfzcU+zcU+yKo/hV\nplJ251s9w646YBVwOvBe4EfW2veW5KJlTrfzFceLuQsTCVRfsg8stIfby3ZoqJtZR0/GnuS0205j\nJDPC9Ruv54iuIxZodf5WDnOi0rl0oeKUy+cK3fRCgRCR+giRoPNWYxb3d2mal1Icxc89xc49xa44\nip871XQ731b2tDKfjgGeBz5bwmtKFVvsuQvpXNqpQCVjZZ9AwfxnHT29/Wk+fPuHSWVSvOPgd/D6\nztcv0Mr8z69zotK5NMl0kmQmibWWUCBEa2OrkziNJ03hYHjRE6fJNC+lOIqfe4qde4pdcRS/ylTK\nStS1TJ9E5YFdOJ35brPWjpXkghVAlajykcll6B7qpm+4j5zN0RHuKOsEar7+OPBH3nfL+xgYGeDY\nNcdy8QkX65kZnxjLjpHMJEllUlhrC40hQsFJiVMgXFV/X0VEpPz5vRK1qN35ZG9KosrDRAIVG46R\nyWeIRqJV9QPpy4Mvc+rNp9Kf7Octq9/CZSdepvlAHhvNjha66hnMnsRpUsUpFAhV1d9TERGpLEqi\nZEZKovwvm88WmkiM5caIRqKe3gq12PqG+zj15lPpHe7liBVHcOVJV9IYaPR6WVXHWltInFKZFDWm\nptCGfHLFqbGuUYmTiIhUhKpJoowxa4H1wP9Ya3dOs78N+BvgAWvtiyW5aJlTEuVvuXyuUIEazY1W\nXQK1I7WDU28+la27t/LnHX/Odzd8l0gw4vWyqoa1lpHsSCFxqjW1hIN7Kk4Tw2+V1IqISCWqpiTq\nO8DJwAprbWaa/QGgF7jJWntmSS5a5pRE+Vcun6NnqIdYIkYqkyIaiVJbU+v1shbNrpFd/NOt/8Rz\nO5/j0LZDue7k62hpaPF6WRXPWltImlKZFIHawJ7ht8FwoeLUUNfg9VJFREQWlN+TqFL+Wv0o4J7p\nEiiA8e0/A/66hNeUKrZQcxfyNl8YpJvMJCs2gZpp1lEyneTDt3+Y53Y+x9qla/nuhu8qgZqilHOi\n8jZPIp2gP9nPy4MvM5wepr6unq7mLvZfsj9rlq7hwNYD2X/J/rSF2so+gdK8lOIofu4pdu4pdsVR\n/CpTKStRKeBb1tpz93HMV4FPWGubSnLRMqdKVHEWYu5CIYFKxBlKD9EZ6azYLnQzzTrK5XNs+vkm\nHup5iO+f8n06Ih0erM7fip0Tlbf5wgyn0ewo9XX1ezWHaKp3btWrxAYempdSHMXPPcXOPcWuOIqf\nO36vRJXyp8M00DzLMU3se5aUyJyVeu5C3ubpHeqlP9lf8QkUzDzrqLamli+/7cvsGt1Fa2PrIq+q\nPLiZE5XL5wq36Y1mR2moayAcDNMWaiMcDBeecQrUBhZgxf6heSnFUfzcU+zcU+yKo/hVplJWoh4A\nVgIHzfBMVBB4DohZa99UkouWOVWi/MNaS++wk0DtGtlFNBKt+B9mZeFl81lGMiMkM0lGM6M0Bhv3\nPOMUCBcqTpWcrIuIiLhRTZWoG4DLgB8ZY8601sYmdhhjosC3gVXAhSW8pkjRrLVsG95Gf7KfgZEB\nJVBSlGw+SzLtDL9N59I0BhppCjbREe7Yq+JUic/ZiYiIVItSVqJqgLuAY4AU8FucbnxdwGuAEHAP\ncIK1Nl+Si5Y5VaK8Z62lL9FHPBFn58hOopFoRT6HIgsrk8sUht9mc1kaA417ddVrqm8iHAgrcRIR\nEZkjv1eiSjpsd7yN+XnAmcDkdl67capU583Uva8aKYnyXt+wk0DtSO0g2qQESuYunUsXmkPk8rlC\nwtRY10ikPkJTsIlwMFxVs8VERERKpaqSqMJJnarUOmAJTgL1jKpPr6QkyluxRIx4Is725HY6Ih3U\n19V7vSTxuXQuTTKdJJlJYq0tPNsUCu55xikUCClxEhERKZLfk6gF+U5vrc1ba/9grf3V+PsFSaCM\nMV3GmO8aY3qNMaPGmJeMMd80xixxca6jjTG3GGP6xs/Va4y5yxhzwhxee5UxJj/+tsbdZyPzVczc\nhXgiTn+in/5kP+2R9qpMoEo566iSjWXHGBgZoHuom3gijrWW/770v9l/yf4csPQA1rauZe3StXQ2\ndRIJRpRAzULzUoqj+Lmn2Lmn2BVH8atMpXwmai2wHvgfa+3Oafa3AX8DPGCtfbEE11sDPAS0AbcC\nzwJH4AzzfQZYb63dNcdzXQh8FugG7gR2AMuB1+MMED5nH689CbgNGAYiON0J5/T5qRJVHLdzF7Yn\ntztVqGSc5aHlNAYaF2B1/vXsjmc5pO2QomcdVbLR7GjhVj1jDOFAmHAgTGOgkUgwQrQpSj6fL/yW\nTOZO81KKo/i5p9i5p9gVR/Fzx++VqFJ25zsHOBn4rxn2DwJfB27CeWaqWJfjJFBnWWsvm9hojPkG\n8M/AvwMfm+0kxpjTcRKoa4CPWGuzU/bP+CT4eGJ4JXAj0Am8df6fhrjlZu7CjtSOQgLVFmqrugTq\nv37/X2z6+SbOWX+Oq1lHlcpaW0icUpkUNaaGUCBER6SDUCBEJOg84zTx9+VLX/qSEiiXNC+lOIqf\ne4qde4pdcRS/ylTKStTzwGPW2vfu45jvA2+w1h5S5LXWAC8AL1lr107ZFwH6xj9st9aO7OM8QZzq\nUwqngpSd6dgZXn8L8Ebgz4CbcZIoVaJ8amdqJ33DfcQSMZaFlhEOhr1e0qK69ZlbOeeec7BY/vXI\nf+XUV5/q9ZI8Za1lJDtSSJzqauoIBUKF55wiwQhN9U001DV4vVQREZGqU02VqC7gx7Mc8zLwzhJc\n623j7++eusNamzDGPAgcC7wJuG8f5zkW57a9iwBrjDkRJyEaBR6x1v56phcaY07D+Vw2WGt36bfS\n/jYwMkBfwkmgWkOtVZdAbXlhC+feey4Wy+f+8nNVm0BZawtJUyqTIlgbJBQI0RnpJBwMFypO1fiM\nnIiIiMxdKZOoNNA8yzFNQCnKLoeMn+e5GfY/j5MgHcy+k6jDx8+TBp4ADpu0PmOM+QXwbmvtjskv\nMsbsB1wMfM9ae4fbT0IWx+7R3YVW5q2hViLBiNdLWlT3b72fs+8+m7zN8/HDP86HX/dhr5e06CY6\n6o1kRqivqycUCLG0cWmh4hQJRpQ4iYiIyJyVMon6PXCiMebT082CGr917h3AH0pwrYkZVIMz7J/Y\nPluXvnbAAJ8DnsJpjPEkcADO81vHAz/CaVYBOJkVcB1OI4lPuVi7LKLB0UF6h3qJJWIsaVhSdQnU\nQz0P8Yk7P0Emn+GDr/0gZx1xltdLWnQ7UjsYy47RXN/MssZlhYpTJBjRXDARERFxpZS9eG8AVgM/\nMsZEJ+8Y//hHwCrg+hJes1gTn38GOMla+5C1NmWtfQo4BegBjjTGvHHSaz4DvAX4sLV2piROfGBo\nbIjeYSeBamlooam+yeslLarH+x7nY//zMdK5NO857D38y/p/qbpmCAMjA6RzaVY0rWBi5PfrAAAg\nAElEQVTN0jUc2Hogq1tW09rYqgRKREREXCtlEnUlcA+wAXjBGPMrY8x/G2N+hdME4p3AvcC3S3Ct\nieSlZYb9E9t3z3Keif1PWGu7J+8Yb0ixZfzDIwCMMQcB5wPXWGu3UCLGmBnfjjrqKIwxM84Y2LRp\nU9Xu37Rp04z7h8eG6Rnq4YLzL+CYtcdw3cXXTXv+zRds5pC2Q2acmVSu+5/qf4ozbj+D1N0p2ATL\nHl72igRq8wWbfbv+UuzfPbqby//jct52wNu47lvXsbRxKYHawF7HuP37N/Gxn/99+HX/1D/7bX1+\n36/4ud8/3b9jP63Pz/unO8ZP6/P7fsVv5v0TP+dO9+Z3JevOB2CMCQDn4bQwn5zg7AYuA86b7lY/\nF9f5EPAd4Apr7SvapRtj7sJ5JuoYa+2Mz0QZYz4AXA3caa09cZr9FwJnA+daay80xmwAbtnH0izO\n7YEAJ1trfzLL56HufEWYae5CIp2ge7CbvkQf4UCYpY1LPVidd57f+Tzvu+V97B7dzfFrj+ei4y+i\nrqbuFcdV8pyoobEhBkcH6WzqZFXzqpJXITXzwz3FrjiKn3uKnXuKXXEUP3eqqTsf4wnSF4wxXwTW\n4TyTtBt4xlqbN8bUGGM2WGtvK/JSE4nRcVN3jLc4X4/TtnzG7nrj7sVJfF41w/7Dxt+/NP5+K3DV\nDMe+A+jAuW1xaPxYWUDTzV1IppP0DPYQS8QKzQOqzZY/bmH36G6O2u8ovn7c16dNoICKnROVSCcY\nHB0kGonS1dS1ILdxauaHe4pdcRQ/9xQ79xS74ih+lamklagZL+J0s/sw8AGg01o74wDbeZxzotr0\nKWvtJZO2XwR8GrjcWvvx8W11wFogM3WGkzHmVuAk4Gxr7cWTth8H3AnsAg6w1g7Psp770JwoT6Uy\nqUIFqqGugdbGVq+X5AlrLTc/fTMnHnxi1c04SqQTDKQGiDY5CVQ1JtEiIiKVwO+VqAVLoowxtTjP\nR50BHIPz/JUF7rHWHl+C868BHsTpsPcT4GmcuVBHAc8A6621u8aP3Q+nmrTVWrtmynm6xs+zCvhf\nnFbna8bXngf+3lp76xzWoyTKQyOZEV4efJlYIkagNkBbqM3rJckiS2VS7EjtIBqO0tnUybLQMq+X\nJCIiIi75PYkq6e18UEhuTgdOw0lwAHYAVwBXW2v/VIrrWGtfNMa8AfgycALwdqAP+Cbw5Wk651mm\nmVFlre01xrwe+Fec5hdvwbkd7zbga9bax+azrHl/IlK00ewoPUM9xJNx6mrqlEBVodHsKDtSO+gI\nd9AR6VACJSIiIguqJJWo8dvlNuJUnd6GU3VKA7cD7wKustaeUfSFKowqUcUby44VKlDGGNrD7bO/\nSCrKWHaMeCLO8vByopEoHZEOr5ckIiIiRaroStR4y+/TgfcDbTid6Z4ArgF+YK0dMMbki16lyDTG\nsmN0D3YTS8YAWB5a7vGKZLGlc2niyTjLQstoD7crgRIREZFFUeycqGdxWoADfAv4c2vt6621l1hr\nB4o8t8iM0rk0n/s/n3MSKAvt4faymCngJzPNXioXmVyGeCJOa2Mr7eF2opHo7C8qkZnmXsjsFLvi\nKH7uKXbuKXbFUfwqU1G3841XmSzwPeBKa+2vZjhGt/NNQ7fzuZPJZege6mZt61ru33o/HeEOJVAu\nlPOcqGw+S1+ijyX1S+iIdNDV1LWofwc088M9xa44ip97ip17il1xFD93/H47X7GVqP8L/An4J+CX\nxpinjTGfN8asKH5pIq+UzWfpGeohNhzj/Z96f9VVoEr5Rbhc50Tl8jliiRjNwWaWh5ezomnFov8d\n0MwP9xS74ih+7il27il2xVH8KlOpGkscj/Ns1ElAAMgBdwPXATeiStS0VIman2w+6zwDlYgxlhsj\nGolSY4r9PUD5yNs859xzDqtbVvPxwz9eVcnjhLzN0zfcRygQIhqJsrJ5JbU1RY+dExEREZ/xeyWq\npHOijDHtwAdxBuuuYU/L798AZ1prf1Oyi1UAJVFzl8vn6B7qJp6Ik8qk6GzqrKoEylrLpvs3cePv\nbyQUCHHHe++gq7nL62UtqrzNE0/Eqa+tJ9oUZVXzKiVQIiIiFcrvSVRJfwq11vZba79mrT0QOBb4\nMZAB3gA8Yox5whjz8VJeUypfLp9z5kCNJ1DVVoGy1nLBgxdw4+9vpL62nstPvLzqEihrLf3Jfupq\n6miPtKsCJSIiIp4qaSVq2gsY04YzePfDwMGAtdbqpx9UiZqLvM07z0AlYiTSCTojnVX3w/N/Pvyf\nXPropQRqAlz6N5dy5P5Her2kRTWRQBlj6Ix0sqplFcHaoNfLEhERkQVUVZWo6Vhrd1hrv26tXQf8\nNfBfC31NqQwTCVQ8EWc4PUw0Eq26BOo7j3+HSx+9lBpTwzeO+0bVJVAAO1I7AOgId7CyeaUSKBER\nEfHcot4TZa39ubX2fYt5TSlP1lp6h3rZntzO0NgQ0XCUupq9Z0OX+5yj2Xz/t9/n67/6OgbDV4/+\nKscfeHxJz18O8duZ2kk2nyUaibKqZRX1dfVeLwnQzI9iKHbFUfzcU+zcU+yKo/hVpgW/nU9mptv5\npmetpXe4l/5kP7tGdhGNRAnUBl5xXDnPOZrNTX+4iS/87xcAOO+o83jPYe8p+TX8Hr+BkQFGs6OF\nW/hCgZDXSyrQzA/3FLviKH7uKXbuKXbFUfzcqfrb+UTmw1rLtuFt9Cf7GRgZoCPSMW0CBeU752g2\nP33+p3zxvi8CcM76cxYkgQJ/x2/36G6niUjYaWPupwQKNPOjGIpdcRQ/9xQ79xS74ih+lUmVKA+p\nErU3ay19iT7iiTg7R3YSjUSr7vmXF3e9yEn/dRLZfJZPvvGTfPzw6mtmOTQ2xODoIJ1NnaxqXkVT\nfZPXSxIREZFF5vdKlJIoDymJ2lvfsJNA7UjtINpUfQnUhO88/h12j+7ms2/+bNUN1E2kE4VbOFc2\nr6SlocXrJYmIiIgHlETJjJRE7TE0NsTWXVvpT/bTEenwTQMBWTzJdJKdqZ1Em6J0NXWxtHGp10sS\nERERj/g9idIzUeIL2XyW0dwokfqIEqgqlMqkCrdwdkY6lUCJiIiIrymJEhFPjWZH2Z7cTnuonY5I\nB8tCy7xekoiIiMg+KYmSslUOc478zA/xG8uO0Z/opz3sJFDLw8u9XtKcaOaHe4pdcRQ/9xQ79xS7\n4ih+lUnPRHlIz0TtMTAywAsDL5C3eVobW+f0Gr/POfI7r+OXzqWJJWIsa1zm3MbX1OnZWuZLMz/c\nU+yKo/i5p9i5p9gVR/FzR89EiSwQP885Kgdexi+TyxBPxGltbKU93E40EvVsLW5o5od7il1xFD/3\nFDv3FLviKH6VSZUoD6kStYebSpSUp2w+S1+ijyX1S+iIdNDV1FV1rdxFRERk31SJEhEABkcHufb/\nXVvVSXMunyOWiNEcbGZ5eDkrmlYogRIREZGyU+f1AkSqQSKd4PTbT+fJ+JOkMik+dvjHvF7Sosvb\nPLFEjHAgTHu4na6mLmqMfo8jIiIi5Uc/wYgssJHMCGfecSZPxp+kq6mLjes2er2kRZe3eeKJOA11\nDU4C1dxFbU2t18sSERERcUVJlMgCSufSnHXnWTyy7RHaw+1ce/K1ZdWFrhSstfQn+6mrqaMj0sHK\n5pXU1agILiIiIuVLSZSULT/MOdqXbD7LZ7Z8hl++/EtaG1u5dsO1rG5Z7fWyChYjfhMJVI2poSPs\nJFCB2sCCX3ehaeaHe4pdcRQ/9xQ79xS74ih+lUnd+Tyk7nx7VNqcqFw+x7/c8y/c8dwdNNc3c/3J\n13Po8kO9XtZeFiN+25Pbyds80UiU1S2rqa+rX9DrLRbN/HBPsSuO4ueeYueeYlccxc8ddecTWSB+\nnRNlrWXTzzdxx3N3EAqEuOqkq3yXQMHCx29naifZfJZoJMqqllUVk0CBZn4UQ7ErjuLnnmLnnmJX\nHMWvMqkS5SFVovaolDlR1lq+8sBXuP7J66mvreeqd17FEV1HeL2sRTcwMsBodpTOSCerWlYRCoS8\nXpKIiIiUEVWiRKrIxQ9fzPVPXk+gJsAlf3NJVSZQu0d3k8qkCs9AKYESERGRSqMkSqSE2sPtBGoC\nXHzCxbx1v7d6vZxFNzQ2xPDYMNFIlJXNKwkHw14vSURERKTkdDufh3Q73x6VcjsfQM9QDyubV3q9\njEWXSCfYNbKrkEC1NLR4vSQREREpU7qdT6TKVGMClUwnGUgN0BHpYEXTCiVQIiIiUtGUREnZ8vuc\nKL8rVfxSmRQ7R3YSjUTpjHSytHFpSc7rZ5r54Z5iVxzFzz3Fzj3FrjiKX2XS7Xwe0u18e1TanKhy\nUIr4jWZHiSfidIQ76GzqZHl4eYlW52+a+eGeYlccxc89xc49xa44ip87up1PZIH4dU5UuSg2fulc\nmv5EP+3hdjoiHVWTQIFmfhRDsSuO4ueeYueeYlccxa8yqRLlIVWi9qikxhLVIJ1LE0vEWNa4zLmN\nr6nT6yWJiIhIBVElSkQqSiaXIZ6I09rYSnu4nWgk6vWSRERERBaVkiiROdo2vI28zXu9DE9l81li\nyRgtDS0sDy1nRdOKwm+KRERERKqFkiiROfjjrj/yrh+9i3PvOZdsPuv1cjyRy+eIJWI0BZtoD7fT\n1dylBEpERESqkpIokVl0D3Zz2q2nMTAywI7UjqqsRuVtnlgiRjgQpiPcQVdTFzVGXz5ERESkOumn\nIClbizEnKpaI8f5b309/sp/DVxzOJX9zCcHa4IJfdzHMNX7WWuKJOA11DYUKVG1N7QKvzt8088M9\nxa44ip97ip17il1xFL/KpO58HlJ3vj38OCdqR2oHp958Klt3b+U1Ha/hmg3XEAlGFux6i20u8bPW\nEk/GqTW1dDZ1sqp5FYHawCKt0L8088M9xa44ip97ip17il1xFD931J1PZIEs5Jyo3aO7+cBtH2Dr\n7q2sa1vHVSddVVEJFMweP2st/cl+jDF0hDtY2bxSCdQ4zfxwT7ErjuLnnmLnnmJXHMWvMqkS5SFV\novbw05yoRDrBabeexu/6f8eapWu4YeMNLAst83RNXtie3E7e5olGoqxuWU19Xb3XSxIREZEqoUqU\nSBlJZVKccfsZ/K7/d6xsXsm1G66tygRqZ2on2XyWaCTKqpZVSqBEREREJlESJTJuLDvGJ376CX7T\n9xuikSjXnnwtHZEOr5e16AZGBhjNjhKNROlq7qKhrsHrJYmIiIj4ipIokXG/6fsND/U8xLLGZVyz\n4RpWNa/yekmLbvfoblKZVCGBCgVCXi9JRERExHf0TJSH9EzUHn55JmrLC1vYf8n+HNJ2iGdr8MrQ\n2BCDo4OFLnxN9U1eL0lERESqlJ6JElkgCzEn6vgDj6+aBGpy/BLpBIOjg04FqqlLCdQsNPPDPcWu\nOIqfe4qde4pdcRS/ylTWlShjTBfwb8DxwDKgD7gVOM9au3ue5zoa+ATwJmApsBP4HXCxtfauScet\nBL4AvA7Yb/zYAeAl4HvAtdba0TleU5WocX6cE1XpJuKXTCfZmdpJtMlJoJY2LvV6ab6nmR/uKXbF\nUfzcU+zcU+yKo/i54/dKVJ3XC3DLGLMGeAhow0mcngWOAD4FHG+MWW+t3TXHc10IfBboBm4DdgDL\ngdcDRwF3TTp8LfBe4GHgcZwEahnwduAy4DRjzFuttekiP0WZxULOiaoGn/jcJxjJjLBzZCfRSJRo\nJKoEao4088M9xa44ip97ip17il1xFL/KVLaVKGPMFuAY4Cxr7WWTtn8D+Gfg29baj83hPKcDVwDX\nAB+x1man7K+11uYmfVw39ZiJ44CfAUcC77fW3jCHa6sSNc4vz0RVk9HsKPFEnI5wB9GmKO3hdq+X\nJCIiIgL4vxJVls9EjVehjgW2Tk6gxn0JSAL/aIxpnOU8QeB84E9Mk0ABTE6gxj9+xTGTjrsVMEDX\nHD8VEU+kc2n6E/20h9tpj7QrgRIRERGZh7JMooC3jb+/e+oOa20CeBAI4TzftC/H4ty2dxNgjTEn\nGmP+xRjzSWPMbK/dizGmBjgRsMD983mtyGJK59LEEjGWhZbRHm4nGol6vSQRERGRslKuz0QdgpOs\nPDfD/udxEqSDgfv2cZ7Dx8+TBp4ADhv/GMAYY34BvNtau2PqC40xy4Czxj9cPn69duAT1tpfz+uz\nEVkkmVyGeCJOa2OrEigRERERl8q1EtUy/n5whv0T25fMcp52nNvvPgfkgfVAE/AaYAvwVuBHM7y2\nDfhX4P8CH8VpOHErznNR4jNbXtjCP2/5Z9K56u33kc1niSVjtDS0sDy0nBVNKwr3G4uIiIjI3JVr\nElUqE59/BjjJWvuQtTZlrX0KOAXoAY40xrxx6guttc9aa2twqnn7AZ8GTgYeMcYcujjLr25znRN1\n/9b7Ofvus/np8z/lzhfuXOBV+VMunyOWiNEUbKI93E5XcxfnnXee18sqW5r54Z5iVxzFzz3Fzj3F\nrjiKX2Uq1yRqotLUMsP+ie2zzYqa2P+EtbZ78g5r7QhONQqc1unTso4ea+1m4CM41a9Ns1x3L8aY\nGd+OOuoojDEz/gPctGlTRey/4PwLpt2/+YLNHNJ2yLQJ0yX/cck+9wN8/v98njPecAaZezN84LUf\n4J0Hv3PO56+k/Rf8+wWEA2EngWrqosbUcN555/nm/3+57Z9IQP26Pj/vn5y8+3F9ft+v+LnfP/UX\nR35bn5/3T/dLNz+tz+/7Fb+Z90/8nDvdm9+VZYtzY8yHgO8AV1hrz5xm/104zygdY62d8ZkoY8wH\ngKuBO621J06z/0LgbOBca+2Fc1hXM05i9qy1dtZqlFqc7+GmxfnmCzZz1ufPmnH/E31P8MGffJBU\nJsV7DnsPm47cVBb/KEvJWkssEeP/s3ffYVJV9x/H39/ZvjPbYNmOgqhYflaUKBZKACUWLGBBQUTR\nxKjEEjVqpFijxkTFJBZEEY0aKUIIijRBBcSIxq6AdHbZxrKVbef3x50ZtsxsubPL7Ox+X88zz7C3\nnHvuZ2eHOXPuPScyLJI0Vxo9E3oS7ggHrDcwf29uqmmanX2aXWA0P/s0O/s0u8BofvZ09CHOQ7UR\ndRiwEfjZGNOnwToXsNv9Y4q7R8lfOYcAPwPbjDG9faz/D3AOcIUx5l8tqNcxwNfAemNMo0sAfWyv\njSi3tp4n6tvcbxk3bxzFlcWM7DuSx4Y+hkNCtePVHmMMe0r34BAH6XHp9IzvSURYRLCrpZRSSinV\nrI7eiArJT5XGmM1Yw5v3EpGbG6yeBjiBWZ4GlIiEi0hfd+OrbjnbgIXAISLyu7rrRGQ4VgOqEHiv\nzvKT3MOZ02B7F/A01uh+cwM8RRWAjQUbmfDuBIorizmnzzk88stHumwDCoFUZypZ8VnagFJKKaWU\naiMh2RMF3t6oj7FG2FsAfIc1L9Qg4HvgDGNMoXvbQ7F6nLYYYw5rUE6mu5yewHKsoc4PA0Zijdh3\nuTFmfp3t52GN4vcJsA0oc+87AuterA+AC40xzQ4Dpz1RB7RVT9TWvVu5au5V5JblcvahZ/Pcr54j\nMiyyDWsaGnJLc6kxNaS70jkk4RCiwqOCXSWllFJKqRbr6D1R4cGugF3GmM0icgpWz9O5WI2Y3cBf\ngGnGmIbDnxsOzAFVt5ydItIPa7jyC4GzgH3Au8BjxpjPGuzyAlCMNdjEQKxJfQuAdcDrxpjZbXOG\nqrV2Fe9i/LvjyS3LpX9mf54d8WyXbEDll+VTXVtNmiuNrPgsbUAppZRSSrWxkO2J6gy0J+qAQHui\nqmurGfnmSDYWbOTE1BOZMXIGrkhXO9S0YysoL6C8qpyMuAx6JvQkNiI22FVSSimllGq1jt4T1bVu\nFFGdSt1hvcMd4fx+wO85Ke0kXrzwxS7ZgNpbsZeyqjLSXGlkxmc224DSkYLs0+zs0+wCo/nZp9nZ\np9kFRvPrnLQnKoi0J+oAOz1RfZP78kPeD/WWGWO63DDmAMX7i9lbsZf0uHSy4rOIj4pvdh8R0dee\nTZqdfZpdYDQ/+zQ7+zS7wGh+9mhPlFLt5ObfNxyYkS7ZgCqpLGFvxV6rByous0UNKIDJkye3c806\nL83OPs0uMJqffZqdfZpdYDS/zkl7ooJIe6IOaOt5orqK0spS8svySYtLIyMuQ7NTSimlVKegPVFK\nqXZRXlVOfnk+qa5U0lxp2oBSSimllDpItBGlVAiqqK5gT+keUmJTSHWlkhybHOwqKaWUUkp1GdqI\nUirEVNZUsqdkDz1ie5DiSiHFmRLsKimllFJKdSnaiFIqhFTWVJJdkk332O6kuFJIdaYGu0pKKaWU\nUl2ONqJUh2eMYc63c6iorqi3vO48UV1BVU0VOSU5dIvpRoozhXRXekCjEeq8FfZpdvZpdoHR/OzT\n7OzT7AKj+XVOOjpfEOnofAc0NTrfs+ueZfr66ZzZ80xeuvAlb8PB1zxRnVV1bTW7S3aTEJVAqjOV\nrPisgIdz13kr7NPs7NPsAqP52afZ2afZBUbzs0dH51MqAC99/hLT10/HIQ5GHTuqXsPB1zxRnVFN\nbQ3ZJdnERcaR4kwhMz6zTebD0nkr7NPs7NPsAqP52afZ2afZBUbz65y0JyqItCfqAF89Ua9/9TrT\nPpwGwJ+G/omLjroomFUMilpTS3ZJNjHhMaS6UukZ35MwR1iwq6WUUkop1a60J0opG+Z9N8/bgJo8\ncHKXbEAZY8gpySEqLIoUZwpZ8VnagFJKKaWU6gC0JyqIunJPVFpWGjk7c5rdztnDyefffX4QatSx\nGGPYU7oHhzhIj0unZ3xPIsIigl0tpZRSSqmDoqP3RIUHuwKqa8rZmQNTmt+udEppu9elozHGkFuW\nC4J3EAltQCmllFJKdRx6OZ9SHUxeWR61ppY0Zxo9E3oSGRYZ7CoppZRSSqk6tBGlQlZnnCcqvyyf\n6tpqbw9UVHhUux1L562wT7OzT7MLjOZnn2Znn2YXGM2vc9J7ooKoK98TJSItupyPKfidC6qzzRNV\nWF5IWVUZGXEZ9EzoSWxEbLseT+etsE+zs0+zC4zmZ59mZ59mFxjNz56Ofk+U9kSpkNWZ5okqqiii\ntKqUNFcamfGZ7d6AAp23IhCanX2aXWA0P/s0O/s0u8Bofp2T9kQFkfZEtWDDKf57ojqL4v3F7K3Y\nS3pcOlnxWcRHxQe7SkoppZRSQaU9UUopv0oqS9hbsZc0VxoZcRnagFJKKaWUCgHaiFIqSEorSyko\nKyDVlUp6XDqJ0YnBrpJSSimllGoBbUQpFQTlVeXkl+eT6kolzZVGt5huwa6SUkoppZRqIZ1sVwVF\namYqOVNymt0uOT35INTm4NpfvZ/c0lxSnCmkulJJju1856iUUkop1ZlpT5QKiuwd2RhjvI/8snzW\n7VjHmu1r+CHvB+/j468+9ltGKM4TVVlTSU5JDsmxyaS4UkhxpgStLjpvhX2anX2aXWA0P/s0O/s0\nu8Bofp2Tjs4XRF15dL6GCsoL2FiwkVpT2+JL20JtnqjKmkqyS7LpFtONNFca6a5078gzwaDzVtin\n2dmn2QVG87NPs7NPswuM5mePjs6nVDsJpXmiqmqqyCnJoVtMN1KcKUFvQIHOWxEIzc4+zS4wmp99\nmp19ml1gNL/OSXuigkh7og6w0xMVKqprq9ldspuEqARSnalkxmfiEP3+QimllFLKH+2JUqoLq6mt\nIackh7jIOHrE9tAGlFJKKaVUJ6Cj8ynVTmpNLTmlOcRGxJLiTCErPksbUEp1YcG+hFcppTqCznIF\nln6iU6odGGPIKckh0hHpbUCFOcKCXS2llFJKKdUGtCdKqTZmjGFP6R7CHeGkxaWRFZ9FuEP/1JRS\nls7yLaxSSrVGZ+uN154oFbI66jxRuWW5IJDqTCUrPouIsIhgV8knnbfCPs3OPs1OKaVUZ6Cj8wWR\njs53QGeZJyqvLI/q2mrSXen0TOhJdHh0sKvkl85bYZ9mZ19Xzq7OSFNBrolSSh18rX0P1NH5lGon\nHW2eqILyAiprKr09UB25AQU6b0UgNDv7NDullFKdgfZEBZH2RB0Q6vNEFZYXUlZVRkZcBlnxWTgj\nncGuklKqg9GeKKVUV6Y9UUqpeooqiiitKiXNlUZmfKY2oJRSSimlOjltRCkVgOL9xezbv8/bgHJF\nuoJdJaWUUkop1c60EaWUTSWVJeyt2EuaK42MuAzio+KDXSWllFJKKXUQaCNKKRvKqsooKCsg1ZlK\nelw6idGJwa6SUkoppZQ6SLQRpUJWsOaJKq8qJ68sj1RXKmlxaSE5EAbofD2B0Ozs0+yUUkp1Bjo6\nXxDp6HwHhMo8Ufur95NTkkOKM4W0uDRSnCkH9fhtqSvP1xMozc6+rpydjs7XOYwfP55Zs2YxZcoU\nHnjggTYrt1evXmzbto2VK1dy9tlnt1m5SnUUnW10vvBgV0Apuw72PFGVNZXklOSQHJtMiislpBtQ\noPP1BEKzs0+zU3a9+uqrbNmyhYsvvpjjjz8+aPUQEe+Hu1AoVynVPrQRpULWLXffctCOVVlTSXZJ\nNt1iu5HiSiHVmXrQjt1e9LIq+zQ7+zQ7Zdcrr7zCqlWr6N27d1AbUenp6fTt25fk5OQ2LbdPnz7E\nxMQQGxvbpuUqpdqHNqKUakZVTRU5JTkkRSeR4kwh3ZWu3xYqpVQX9cgjj/DII4+0eblLly5t8zKV\nUu1HB5ZQqgnVtdVkl2YTHxVPijOFjLgMbUAppZRSSnVx2ohSyo+a2hpySnJwRbhIcaaQGZ+JQ/RP\nRil18G3atImbbrqN+PhUHI4w4uNTuemm29i0aVOnr8err76Kw+Hgww8/xBjD+PHjcTgc3sdhhx3W\naNshQ4YA8PrrrzNw4ECSk5NxOBwsWLAAgNraWhYvXsyNN97IKaecQlpaGlFRUWRmZnLJJZewYsUK\nv/XxHH/atGn1lm/duhWHw0FYWBgAX3/9NVdccQXp6enExMRw9NFH89BDD1FVVRqdpmIAACAASURB\nVOWz3F69euFwOFi1apXP8/ec08KFCxk8eDBJSUnExcVx+umn8+abbzaZ4c6dO7nuuuvIysoiJiaG\nPn36cPvtt7N3795G5bfG6tWrmTRpEqeddhqZmZlERUWRmprKiBEjmDNnTrP7FxQUMHnyZE455RSS\nkpJwOp307duXK6+8knfffdfnPtXV1bzwwgsMHTqUlJQUoqOj6dWrF+eccw4vvvgi5eXl3m0//PDD\nRq+Rhpo6f8/vc9u2bXz33Xdcc801HHLIIURGRnLJJZd4t/vpp5+YNm0av/zlLznssMOIiYkhKSmJ\n008/naeeeoqKioomc2jpOb322ms4HA4yMjKora31W97KlStxOBy4XC6Ki4ubPLayTy/nU8qHWlNL\nTmkOMeExpLpSyYrP0gaUUiooFi9ezKhR46iqmkhV1SfAoRQXb+Wll2bw6qun8c47sxgxYkSnrUdM\nTAxpaWkUFBRQVVVFfHw8MTEx3vUpKb4H+Zk0aRLPPvssYWFhJCQkEB5+4CPPd999x3nnnee9siA+\nPp6oqCiys7N59913mT9/Po8++ih33313o3JbMgDEBx98wEUXXURFRQUJCQlUV1fz448/8sADD/D5\n558zd+5cW+U+9NBDPPDAA4SFhREXF0dZWRnr1q1jzJgx7Nmzh1tvvbXRPv/73/8YMmQIBQUFiAgu\nl4ucnByefvppFi5cyE033dTkMf0pLS1l4MCB3jrHxcURGxtLXl4eS5Ys4f333+fGG2/k73//u8/9\nV69ezSWXXEJ+fj4iQmRkJC6Xi59//pmNGzfy9ttvU1NTU2+fXbt2cd555/Hll18iIjgcDhITE8nJ\nyWH79u0sXbqUvn37tvnohqtWreLXv/415eXlxMXFERERUe93NWbMGD7//HMAoqOjcblcFBYW8umn\nn7Ju3Treeustli9fjtPpbFR2a85p9OjR3HrrreTk5LB48WLOO+88n/WdMWMGIsKll15KXFxcm2ah\nDtBPhSpktdc8UcYY9pTuIdIR6W1AhTnC2uVYwaQ3+Nun2dmn2bXOpk2bGDVqHGVlC6iqegTog/X9\nZx+qqh6hrGwBo0aNa/ceqWDW47LLLmPXrl2cfvrpADz99NPs2rXL+1i7dm2jfT777DOee+45Hnzw\nQfLz88nLy6OgoIABAwYAEBkZyXXXXceSJUsoKiqisLCQffv2kZOTw4MPPkhYWBj33Xcf69evt1Xn\nyy+/nJEjR7JlyxYKCgrYt28fjz76KCLCu+++y3vvvdfqMjds2MC0adN4+OGHyc/Pp6CggOzsbEaP\nHg3AH/7wB/bu3Vtvn8rKSkaPHk1hYSF9+/bl448/pqioiJKSEhYtWkRZWRkPPvigrXN0OByMHj2a\n+fPnk5+fz969eyksLKSwsJDp06fjcrl44YUXfPZIbd68mQsuuICCggJOPvlkVqxYQVlZGbm5uRQX\nF7NkyZJ6PT2eczn//PP58ssv6dGjB7NmzWLfvn3k5uZSVlbGf//7X373u9/Va2C3lZtuuolf/OIX\nfP311+zdu5fS0lKefPJJ7/rTTjuNGTNmsGXLFkpLS8nNzaW8vJwFCxbQt29fPvvsM+65555G5bb2\nnKKjo7nqqqswxjBz5kyfdS0uLmbevHkAXHvttW2eharDGBOyDyATeBnYCVQAPwN/ARJtlPVLYB6w\n213WTuA94NwG2x0O3A0sA7YB+4FsYD4wqJXHNNavQOWX5Zt1O9aZNdvXmB/yfmjRA2jxti19fJ/7\nvVm1ZZVZvXW12VSwyVRWVwY7mnajrz37NDv7unJ2dt7zf/Ob35mIiD8YMH4fERH3mN/+9rZ2qnXH\nqcegQYOMw+Ewr776qt9tXnnlFSMixuFwmPvvv9/2sR588EEjImbChAmN1o0fP944HA4zderUesu3\nbNniPfa5557rs9wLLrjAOBwOc9111zVa16tXL+NwOMyHH37o95weffTRRvuVl5eblJQU43A4zGuv\nvVZv3cyZM42ImNjYWLNly5ZG+65bt844HA7jcDjM4MGDfdbZrtmzZxsRMUOGDGm0bvTo0UZEzNFH\nH21KSkpaVN5zzz1nRMTExMSYr7/+ukX7rFy50oiI6d27t99tPPn6On9P7ocffripqKho0TEb2rJl\ni4mIiDAul8uUl5fXW2fnnDZs2GBExERFRZm8vLxG659//nkjIqZPnz626tueWvseWGf7oLc5fD1C\ntidKRA4DPgeuAdYCTwGbgEnAJyKS1IqyHgc+AE4G3gWeBP4NJAODGmz+IPAIkAIscm/7EfArYLmI\nHNzJi7qw9pgnKrcsFwTSnGlkxWcRERbR5sfoKHS+Hvs0O/s0u9aZPfsNqqqua3Kbqqrree65NxCh\n3R5//3vL6vHaa2+05enbFhYWxm233WZ7//PPPx+Ajz/+2Nb+vi4DBLjoooswxvD111+3uszo6Ggm\nTZrkc/k555wD0KjcuXPnIiKMGjWKQw89tNG+/fv3Z9CgQZ4vdtuU51KztWvX1iu/tLSU+fPnIyJM\nmzbN5yVuvrz22muICBMmTODYY49t8/o25eabbyYqKsrWvoceeijHHnssZWVlfPHFF/XW2TmnE088\nkZNPPpmqqipmz57daP3MmTMREe2FOghCthEF/B2rkXOLMeZSY8y9xpihWD1RRwEPt6QQEZkI3AnM\nBPoYY35tjLnfGHOjMeYU4L4GuywGTjbGHGeM+Y0x5j5jzCisnqwq4AkRCf1JhEJAW88TlVeWR62p\ntRpQCVlEhkW2afkdjV5WZZ9mZ59m1zolJXlA4w+/9R0C5LVzTVpWD6u+wXf44YfTrVu3JrepqKjg\nL3/5C4MHDyY1NZXIyEjvYBUnn3wyYN2vYsepp57qc3lmZiYAhYWFrS7zmGOO8XupWmZmJsaYRuVu\n2LABgDPPPNNvuWeddVar6+JRU1PDjBkzGDFiBBkZGURHR3sz9ORfUVFRr16fffYZ1dXViIi38dec\n6upq/vvf/wIclPv/GvJcStqUpUuXcuWVV3L44YfjdDrrDX7y5ZdfAvVfT4Gc08SJEzGm8SV933//\nPevWrcPhcHDNNde0qkzVeiE5sIS7F2oY8LMx5m8NVk8GbgDGisgdxpjyRgUcKCcSeAjYCtxojKlu\nuI0xpqbBz7N8lWWMWS0iK4GhwACsSwNViCgoL6CyppJ0VzpZ8VlEh0cHu0pKKYXLlUxx8Vase5D8\n2UZ8fDJFRe1Xj/j4ltXD5WrbCWjt6tGjR5Prs7OzGThwID/99JN3gACn00lsbCwOh4Oamhpyc3Mp\nLS21dXx/vSvR0db/Lf5G6GtKUwME+Cs3L89q1Kanp/vdNyMjo9V1AatHafjw4axZs8abYUxMDImJ\niTgc1nf02dnZ3m09jaqcnBwAEhISWjzoQUFBgbfhdcghh9iqbyCaez3deuutTJ8+3ZtDREQE3bt3\nJyLCuprFMyhK3ddTIOc0ZswY7rjjDr766is2bNjASSedBFgDSgAMGzaMrKysVpWpWi9Ue6IGu5+X\nNFxhjCkBPgZigdOaKWcY0AOYAxgROU9E7hKRW0WkuX198bx7NWqMqY6rsLyQ8qpy7yV8MRFtf1Oq\nUkrZcfXVY4iImNHkNhERLzF27JguUY+W8gwz7s+kSZP46aef6NOnD3PnzvUO/pCdnc2uXbtYs2bN\nQapp6Jo2bRpr1qzxDoiQk5NDSUmJN8MdO3Z4t22PywUPpqZeT++99x7Tp08nPDycqVOnsnHjRioq\nKsjNzfUOftK/f3+g7XKIi4vjsssuA/D2RtXU1DB79mzv5YGq/YVqI6ov1s1mP/pZ/5P7+chmyjnV\nXU4lsAFYCDyKdUngJyKyUkRa9LWaiByKdUlfGbCqmc1VB1FUUURpVSlpLusSPmdky67NVkqpg+GO\nO24mIuJFwN+H+jVERLzEbbf9tkvUoy1UVVWxYMECRIQ33niDkSNHkpCQUG8bT29JqEtOtj7C7N69\n2+82Ta1ryjvvvIOIMH36dK666irvsTz8ZZiaat3xUFRU1OI5jLp16+Ydon7r1q0trqNnn6bmaSoK\nsAv3X//6FyLCxIkTuf/+++ndu3ejbXxlYfecPK6//nqMMbzxxhtUVVWxaNEicnJy6NatGyNHjmz9\niahWC9VGlOfdzt8r37M8sZlyUgABfg/UAmcAccDxwPvA2cDbzVXGfVng60AkMNkY044XVai2Ury/\nmH3795HmSiMzPhNXpCvYVVJKqXr69OnDO+/MIjb2QiIi/oA1flIVsImIiD8QG3sh77wziz59mrrM\nrnPUw3OJWKDf5ufl5bF//37Auknfl6VLlwZ0jI7Cc5nXRx995Heb1atX2yrb09PkL8MPPvjA5/JT\nTjmF8PBwjDEsXry4RccKDw+nX79+APznP/9pcR0TE62PgXv27KG62vdFQnaHsfdoLodt27axcePG\nRsvtnpPHgAEDOProoyksLGTevHm88soriAhXXXWV9zJC1b5CtRHVVjznXwVcYIxZY4wpM8Z8A1wC\n7AAGisgv/BUgIg5gNnA68KYx5qn2rrSyBDJPVEllCYXlhaS6UsmIyyA+Kr4NaxYa9AZ/+zQ7+zS7\n1hsxYgT/+99abrhhP/HxZ+BwxBAffwY33LCf//1v7UG70T7Y9YiPt96nG86F1FpxcXHee1e++uqr\nRut3797Ns8+2zzyEB9vFF1+MMYY5c+awbdu2RuvXr1/PihUrmp3k1xdP752vDEtLS3nkkUd87ud0\nOr31mjx5covvOxs3bhzGGF555ZUWj2545JFHEhUVhTGGhQsXNlq/ceNG5syZY+v8PZrKAaz5u/w1\n/O2cU12e3qinnnqKRYsWAeilfAdRqDaiPD09CX7We5Y3907rWb/BGLO97gr3gBTvu3/s72tndwPq\ndWAU8BYwtpnj+eSZpdzXY9CgQYiI3w8eU6ZM6RTr//TQn3yuf/ZPz9I3ua/PBtP0J6Y3ud7f/mVV\nZRSWF5LmSuO1p18jKSYp6OcfjPVTp07t0PXryOunTp3aoevXkdd7suuo9TuY61ujT58+TJ/+FEVF\n2dTUVFNUlM306U+1ew9UR6rHscceizGGuXPnsm/fPtvluFwuTjvtNIwxTJgwwTtymjGGZcuWMWjQ\noDaqcfCNGTOGww8/nLKyMs4555x6ExO/9957XHzxxSQmJtrq3Rs2bBjGGG6//XZWrTpwF8P69esZ\nMmQIBQUFfvd95JFHiIuL44cffuCss85i5cqV3jpUVFSwaNEi7xDpHtdddx0nnngiFRUVDBkyhNmz\nZ1Nebo0dVltby2effcYNN9xQr2cpIiKCkSNHYozhtttu4+OPP/bO8bNkyRKGDx9ObGxsq8/dVw7P\nP/88M2fO9A7usX37dq655hreeustvyNF2jmnusaNG0dkZCTr16+nurqak046ieOPPz6g8zlYPO+P\nns+5vh4dXrAnqrLzAK7Duvzu737WvwfUAIObKedadzmL/Kx/3F3OXT7WhWNd6lcLzALExnl06Ykn\n67Iz2e7Nv7+51ZPpfrH7C/PBpg/M/7L/Z3JLc4N92kE1efLkYFchZGl29nXl7PQ9PzDff/+9iYqK\nMg6Hw0RERJjMzEzTq1cvc+aZZ3q3aWri1LrWrVtnnE6ncTgcRkSMy+UysbGxRkRMjx49zIIFC7wT\nrTY0fvx4IyJNTrbrT1OTvzY32W5T5zRlyhQjIubaa69ttO6LL74w3bp1855rXFyc91z79u1rnnrq\nKSMificI9mfz5s3eSX49E8a6XC5vnh988IE3j61btzbaf8WKFfXqFR0dbZKTk014eLjfHLdv326O\nP/547z7h4eEmOTnZREVFefdpmN/mzZtNjx49vPs4nU4TExNjRMT069fPPPvss81Otuur/h6VlZVm\nwIAB9eqUlJTk3fehhx5qcqJoO+dU1+WXX+7d7m9/+5vf7TqC1r4HopPttosV7ufhDVeIiAvr3qYy\nrEl4m7IM6xd0jJ/1/+d+/rnBMSKAd4BLgVeMMePcv2x1ELV2nqj91fvJLc2lR2wPUl2pJMd2jKF4\ng6Utvh3vqjQ7+zQ7ZVffvn1ZunQp5557LomJieTk5LBt27ZGczm15Fvs/v37s2bNGi666CK6detG\ndXU1qamp/OY3v2HDhg3eb/P9ldNU+c0du6n6NbXcbrknnHACX375Jddeey3p6elUVVWRlpbG7bff\n7p1TCA7cP9RSvXv35tNPP+Xqq68mNTWV2tpakpKSGDt2LOvXr2fo0KFNntOgQYP44YcfuPvuuznu\nuOOIiIhg//79HH744YwZM8bn5XdZWVl89tlnPPPMM5x11lnEx8dTWlpKRkYG5557LjNmzPCOhFe3\nnuvWrePKK68kJSWF2tpaevbsyR//+Ec++ugj7+Wddn7XYPV2LV26lHvuuYc+ffoQFhZGREQE55xz\nDv/+97+5776G040Gfk51XXTRRQBERUUxZkzHGB2zq5BQ/ewvIu9hDVE+yRgzvc7yp4DfYfVS/da9\nLBxrcosqY8zmBuXMBy4A7jDG/LXO8uFYE+sWAr2NMcXu5ZFYc0CdC7xkjLkxgHOwuqNC9HfQlgrK\nC9hYsJFaU0u3mKYnSLSjsqaSnJIcusd0Jy0ujTRXWpsfQymlmuL5MKbv+aojGTt2LG+88QaTJ0/m\ngQceCHZ1VCtNnDiRGTNmcOWVV/L6668HuzpNau17YJ3tO+S1faHciDoMaz6oFGAB8B3WvFCDgO+B\nM4wxhe5tD8XqTdpijDmsQTmZ7nJ6Asuxhjo/DBiJdane5caY+XW2nwlcA+QCf8fqyWpopTHmwxac\ngzai3NqzEVVZU0l2STbdYrqR5koj3ZUeGtfaKqU6FW1EqY5m8+bNHHfccVRUVPDRRx9x+umnB7tK\nqhX27dtHVlYWpaWlIXE/X2drRIUHuwJ2GWM2i8gpwDSsXqERwG6sOZ6mmcbDjHuurWxYzk4R6Qc8\nAFwInAXsA94FHjPGfNZgl17ucpKBP/qrHtBsI0q1v+raanJKckiKTiLFmaINKKWUUl3KggULWLdu\nHVdddRVHHnkk4eHhVFZWsnjxYn73u99RXl7OgAEDtAEVYqqqqrjtttsoKSnhxBNP7PANqM4oZHui\nOgPtiTqgPXqiampr2F2ym7jIOO9cUA4J1dsAlVKhTnuiVDDMmDGDiRMnAtZcW4mJiezbt4/q6mpE\nhF69erF06VKfk8SqjmfOnDnccccd5OfnU1paisPh4IMPPmDw4MHBrlqzOltPlH6iVCGrqXmiampr\nyC7JxhnhJMWZog0oH/QGf/s0O/s0O6UOrqFDh3L//fczYMAA0tPTKS0txel00q9fP6ZOncqGDRu0\nARVCSkpK2L59OzU1NfTr14958+aFRAOqM9KeqCDSnqgD7PRE9U3uyw95PzRaXmtqyS7JJjosmrS4\nNHrG9yTMEdbWVQ55IqKvPZs0O/u6cnbaE6WU6sq0J0qpDuLm39/caJkxhj2le4h0RJLqSiUrPksb\nUH5Mnjw52FUIWZqdfZqdUkqpzkB7ooJIe6IOaIt7ojwNKBEhIy6DnvE9iQiLaOOaKqWUPdoTpZTq\nyrQnSqkOKrcsF4A0ZxpZ8VnagFJKKaWUUu1CG1GqU8gry6PW1JLmSiMrIYvIsMhgV0kppZRSSnVS\n2ohSIa+gvIDKmkpSndY9UNHh0cGuklJKKaWU6sS0EaVCWmF5IeVV5d5L+GIiYoJdJaWUUkop1clp\nI0qFrCcefoLSqlLvRLrOSGewqxRSdL4e+zQ7+zQ7pZRSnYGOzhdEOjrfAa0dna94fzGnZJ7CN3u+\nISs+i/io+INQy86lK8/XEyjNzr6unJ2OzqeU6sp0dD6lgqyksoTC8kJ+c+dvyIjL0AaUTTpfj32a\nnX2anVJKqc5Ae6KCSHuiDmhpT1RZVRn5ZfmkOlPJiM+wPaeUUkodbNoTpZTqyrQnSqkgKa8qJ68s\njxRnCqmuVG1AKaWUUkqpoNBGlAoJ+6v3k1uaS4/YHqQ4U+jh7BHsKimllOrkBg0ahMPhYNasWfWW\nb926FYfDQVhYWJuWezB46r1t27aDfmylOpPwYFdAqeZU1lSyp3QPybHJpLpSSXWlBrtKSimlugAR\n8V5S1NHL/fDDD1m5ciUnnngiI0eObNOylVKNaU+U6tAqayrJLskmKSaJFFcKqU5tQCmllAquiIgI\njjrqKI466qhgV8Vr5cqVTJ06lXfffbfJ7fr27ctRRx1FRETEQaqZUp2TNqJUh1VdW01OSQ5J0Umk\nOFNId6XX++ZO55sJjOZnn2Znn2anOoOMjAy+/fZbvvnmm2BXpdW+++47vvnmG9LT04NdFaVCmjai\nVIdUU1tDdkk28VHx9HD2ICMuo9GlD1OnTg1S7ToHzc8+zc4+zU4ppVRnoI0o1eF4GlDOCCcpzhSy\n4rNwSOOXqs43ExjNzz7Nzj7NrnXSstK898809UjLSuu09di5c6d3MIRvv/3W73b79+8nMTERh8PB\nwoULvcsrKyv517/+xTXXXMOJJ55Ijx49iImJoVevXlx99dV8/vnnra5TSwaWeO+99xgyZAiJiYkk\nJCRw+umnM3v27GbLXr16NZMmTeK0004jMzOTqKgoUlNTGTFiBHPmzPFbF88XFK+88goOh6Peo+4g\nEs0NLLF582ZuvPFG+vTpQ0xMDN26dWPgwIHMmDGD2tpan/vUHSijoqKCKVOmcNRRRxEbG0tqaipX\nXnklGzdubPbcfdm5cydPPvkkI0aM4Mgjj8TpdJKQkMDJJ5/MlClTKCoqaraMt956i/PPP5/09HSi\no6PJyspi4MCB/PWvf6WgoMDnPuvWrWPcuHH07t2bmJgYevToQb9+/bj33nv58ccf623bq1cvHA4H\nq1at8lsHf7mPHz8eh8PBtGnTqKys5OGHH+aEE04gPj4eh8PBvn37ACgpKeGVV17h8ssv57jjjiMp\nKYnY2FiOOOIIbrzxxhbl25JzKisr8x77P//5T5Pl9e7dG4fDwUsvvdTssTslY4w+gvQAjPUrUPll\n+WbdjnXmk22fmBU/rzBrtq0xPxf+bKprqoNdNaWUahN23vMBw5QWPNr5/5Jg12PgwIHG4XCY++67\nz+82c+fONSJikpOTTVVVlXf5v//9byMixuFwmLCwMNO9e3cTGxtrHA6HERETERFhZs+e7bPMQYMG\nGYfDYV599dV6y7ds2eIt05fHH3+83jG7detmwsPDjcPhMHfccYffcktKSrz7ORwOk5CQYBITE70/\ni4j59a9/XW+f7du3m/T0dBMXF2dExMTGxpr09HTvIyMjw+zYscO7vaf8rVu3Nqr3woULTUxMjHeb\npKQkExUV5T32sGHDTFlZmd+cnnnmGXPSSScZh8NhYmJijNPp9O6bnJxsNm/e7DOvpowaNcpbn+jo\naJOcnOzNUkTM4Ycfbnbu3Olz36KiIjN06FC/v39fvwNjjLnrrrvq/R4SExNNQkKC9+drr7223va9\nevUyDofDfPjhh37Pw1/u48ePNw6Hw9xzzz2mf//+xuFwmKioKJOUlGTCwsJMUVGRMcaY6dOne8uI\niIgwycnJJjo62puDy+Uyy5Yt83v81pzTDTfcYBwOhxk1apTf8pYtW+Y9bnFxsd/t6mrte2Cd7YP+\nmd3XQ3uiVIeyb/8+Ih2RpLpSyYrPIsxhb/hYpZRSnceYMWMwxvDmm2/63eaNN95ARLj00ksJDz8w\n+LDL5WLSpEmsXr2akpIS8vLyKC0tZevWrdx2221UV1dzww03sGPHjjap60cffcQ999yDiDB27Fh2\n7dpFfn4++fn53HXXXTz11FN88cUXPvd1OByMHj2a+fPnk5+fz969eyksLKSwsJDp06fjcrl44YUX\n6vVIZWVlsWvXLu644w4ALr/8cnbt2uV97Ny5k8zMzGbrvXnzZq688kr279/P4MGD+eGHHygoKKC4\nuJjnn3+e6Oholi1bxqRJk3zub4xh8uTJFBUV8f7771NaWkpJSQmrVq0iKyuLgoIC/vCHP7Q6z2OO\nOYZnn32WH3/8kfLycnJzc6moqGDlypX079/f23Pmy5gxY1i2bBmxsbE888wzFBQUeH//3377LQ88\n8ABJSUn19nniiSd44oknEBF++9vfsmXLFgoLC9m7dy+7du3iH//4B0cccUSrz6Mpxhiee+45Nm7c\nyFtvvUVJSQkFBQX8/PPPOJ1OAJKTk7n//vv59NNPKSsrIzc3l/Lycr777juuvvpqSktLGTNmDOXl\n5Y3Kb+05TZw4EWMMCxcu9NtT9/LLLwMwatQoXC5Xm+YRMoLdiuvKD7QnysvTE7V662qzqWCTqayu\nDHaVlFKqTdl5z0d7oowxxhQUFJjIyEjjcDjM2rVrG60vLi729i6sXLmyVWVfd911xuFwmGnTpjVa\nZ6cnasiQIcbhcJihQ4f6PN7111/v3ddXL0hTZs+ebUTEDBkypNG6KVOmGBFp1EvSkL8ekQkTJhgR\nMUcccYQpLy9vtN8LL7xgRMSEhYWZTZs21Vs3aNAgIyLG6XT67G2aM2eOERETExNTr5cwUIWFhSYl\nJcWEhYU1Op///Oc/3vouWbKkReXl5eV5e8/uv//+Ftcj0J4oz7qlS5e2+JgNDRs2zDgcDjNr1qx6\ny+2e0wknnODtXWyoqKjI+/fW1Dk31Nr3wDrbB/0zu6+H9kSpDkEQYsJjSHOmkRmXSUSYDr2qlFKt\nIVPF56Mtygm2pKQkzjnnHAD++c9/Nlo/f/58ysvLyczMZODAga0q+4ILLsAYw8cffxxwPQsLC1m5\nciUAd999t89t7r33Xtvln3feeQCsXbvW82Vsm5k7dy4iwu233050dHSj9ddffz2ZmZkYY3jnnXca\nrRcRRo0aRe/evRutu/DCCxER9u/fb/veKF8SExMZMGAAxhg++eSTeus8Exmfe+65DBs2rEXlvfPO\nO5SVlZGUlMT999/fZvVsieOPP55f/vKXtvc/77zzfL6O7Z7T9ddfjzGGWnShsgAAIABJREFUmTNn\nNlr3z3/+k/Lycvr06cPZZ59tu86hThtRqkOIi4ojxZlCz4SeRIVHBbs6SimlOhjPJX1vv/12owbE\n66+/johwxRVX+Ny3sLCQBx98kDPOOIPk5GQiIiK8gy5cfPHFAOzatSvgOm7YsMH6htrh4IwzzvC5\nTe/evenZs6ffMmpqapgxYwYjRowgIyOD6Ohob127desGQEVFBYWFhQHX12Pz5s3eARoGDRrkcxsR\nYdCgQRhj/A7Gceqpp/pcHh4eTkpKCoCteq9fv54JEyZw9NFHExcXV2/QDM+8WA1/f2vXrkVEGDFi\nRIuPs3btWgAGDx5MVNTB+ywiIpx++unNbrdz507uvvtuTjnlFJKSkggPD/fmcNtttyEiPnOA1p/T\n1VdfTXR0NF9++WWjy09ffvllRIQJEya0uLzOKLz5TZRqf+GOcFJdrZtId8qUKTrnTAA0P/s0O/s0\nu/ZjJrdNz4SvcmRK8HujRo4cidPpJCcnh+XLl3u/tc/Pz2fZsmUAXHnllY32+/bbbxkyZAh79uzx\nTpURFxdHTEwMIkJlZSUFBQWUlpYGXMfc3FwAEhISiImJ8btdZmamz3uwSktLGT58OGvWrPHWNSYm\nxjvqIEB2drZ3W0+jqq3q7ambP1lZWY22rysuLs7vvp7eraqqqlbV7cknn6zXqxcWFka3bt2IjIwE\noKioiIqKika/v5ycHAAOOeSQFh8rJycHEWnVPm2lR48eTa7/8MMPueCCCygpKfG+NhISEry5lpeX\ns2/fPp852DmnxMRELr30Ut544w1mzpzJ008/DVh/T+vXrycsLIxx48a1qszORnuiVMjS+WYCo/nZ\np9nZp9kpu2JiYhg5ciRgDSLh8fbbb1NdXU3fvn056aSTGu137bXXkpubyymnnML7779PcXExe/fu\nZffu3ezatYu3334boM0vj7Nj2rRprFmzhh49ejBr1ixycnIoKSkhOzubXbt21Wt4tVd9Kyoq2qVc\nO7799lvuueceAG655Ra++eYb9u/fT15ennfgjEsvvRToGL+/QDQ1XH51dbV38Ijhw4ezevVqysvL\nKSgo8Obw5z//ue49923CM8DEG2+84W38egaUOOecc8jIyGizY4UibUSpkKXzzQRG87NPs7NPs1OB\n8FzSN2/ePO+Hun/+85+ICGPGjGm0/fbt273fmi9YsIChQ4cSGxtbbxtPj0Vb8PQmeHpH/PF36eA7\n77yDiDB9+nSuuuoqkpOT262uddXtBfE3fxTgbcQ112vSVubMmUNtbS3nnnsuf/3rXznqqKO8vTAe\n/jJJTbWubtm6dWuLj5eamooxplX7AN7RIP39zj1zPdm1Zs0adu7cSbdu3Zg/fz4DBgzw9sR5NJWD\nnXMCOPvsszniiCMoKChgwYIF1NTUeC+d7eqX8oE2olQI00uCAqP52afZ2afZqUAMHz6c7t27U1RU\nxKJFi9ixY4f3Rnpfl/LV/dCfluZ7IuClS5e2Wf1OOukkRITa2lo++ugjn9ts2bLFb0PFU98TTzzR\n5/oPPvjA77E9l/vZ6Yk47LDDSExMBGDFihU+tzHGsHLlSkSEk08+udXHsGPHjh2IiN88ysrKvPf8\nNHTaaadhjGl2wtiG+wCsXLmS/fv3t3g/T3b+hslfv359i8vyxVPukUce6XPQD/D/OrZ7Th7XXXcd\nxhhefvllFi1aRE5ODt27d+fCCy9sdVmdjTailFJKqQ4qNTMVptDsIzWzdfeUhmo9wsPDGT16NMYY\n/vnPf/Lmm29ijOGUU06hT58+jbZPSEgArG/p8/LyGq3/6quvvPNLtYWkpCSGDBmCMYbHH3/c5zaP\nPvqo3/099f3qq68arSstLeWRRx7xu298fDwAe/fubU2VvS655BKMMTz99NM+e1RefPFFdu7ciYgw\nevRoW8dorYSEBIwxPvMAeOihhyguLva5znO/zpIlS1iyZEmLjjdq1ChiYmIoLCxk2rRpLa7ncccd\nhzHGO8hFQ4899liLy/LF87r46aefqKysbLR+yZIlrFixwufr2O45eYwfP56IiAiWLFnCY4895p3/\nrO5cbF2VNqKUUkqpDip7R3aL5ivJ3pHdJeoBeC/b+/e//83MmTMREa666iqf2x599NFkZWVRW1vL\nZZddxqZNmwDrHpO5c+cyfPhw4uLi2vQ+kilTpiAiLFu2jPHjx7Nnzx7AuqTr3nvv5cUXX/T2XDQ0\nbNgwjDHcfvvtrFq1yrt8/fr1DBkyxO/EpwDHHnssYE32a2cY8XvvvRen08muXbv41a9+xY8//ghA\nZWUlL774IpMmTUJEuP76630OY94ePEOTL1q0iMcee8w7kWxeXh6///3veeyxxxpd8ugxYsQIRowY\nQW1tLZdccgnTp0/3jkAI1v1Wd955JwsWLPAu6969O5MnT8YYw6OPPsott9zC9u3bveuzs7N56qmn\nePDBB+sd67LLLvPW8/HHH6esrAyweh2vuOIKNmzYEFAOZ5xxBrGxseTn5zN27Fjv4CIVFRW8/PLL\njBo1ym8Ods/JIyUlhfPPP5+amhpvr9+1114b0Pl0GsGeqKorP9DJdpVSqsvQ9/y2c+ihhxoRMSJi\nwsPDTXZ2tt9t582bZ8LDw43D4TAiYuLj401UVJQREdO7d2/z+uuve//dkJ3Jdo0x5oknnvAez+Fw\nmG7dunnrcOedd/otd/PmzSYlJcW7b0xMjHG5XEZEjMvlMh988IHfSVurqqrM4YcfbhwOh3E4HCYl\nJcX06tXL9OrVy+zcudO7nb/9jTFm4cKF3klURcQkJSWZyMhI7z7Dhw83ZWVlLc6prpZMSOvLpZde\n2ihLzzlOnDjRO1nt1KlTG+27d+9eM3jwYO/+YWFhpnv37iYmJqbJCY9vv/127z4iYhITE01CQoJ3\nH18TGtetZ1hYmElKSvJOQNzU762p+tf1zDPPNKpTRESEERHTr18/M336dCMiZvDgwT73t3NOHosX\nL/Zud+qppzZZz6a09j0QnWxXKaWUUqrtXHHFFYgIIsLgwYO9gwj4ctFFF7F8+XKGDRtGfHw81dXV\n9OrVi7vuuovPP/+czMxMb1mt5W+fO++8k8WLFzNkyBDi4uKoqamhf//+vPbaazzxxBN+y+vduzef\nfvopV199NampqdTW1pKUlMTYsWNZv349Q4cO9Xvc8PBwli9fztixY8nKymLv3r1s27aN7du3U11d\n3aJ6n3/++Xz11VdMnDiR3r17U15ejtPp5KyzzuLFF1/kvffea3Lo9ubYyfjtt9/mscce45hjjvEO\npnDWWWcxa9YsXnjhhSbLTUhIYPny5bz66qsMGzaM7t27U1JSQnJyMoMGDeLpp5/2eW/Pn//8Z1at\nWsUVV1xBVlYWFRUVREdH069fP+677z7uu+++Rvu8+eabPPzwwxx11FFEREQQGRnJ6NGjWbduXZO/\nt5bmcssttzB37lzOPPNMnE4nNTU1HH300Tz44IN8/PHHuFyuJl/Hds7JY/jw4d4BWa677rpm69pV\niNXQU8EgIlZ3lP4ObNH5ZgKj+dmn2dnXlbPzfLjR93ylVCj55JNPOPPMM4mJiWH37t3e++9aq7Xv\ngXW2D/5EdT5oIyqItBEVGBHR7AKg+dmn2dnXlbPTRpRSKhSNHTuW119/nWuuuYaZM2faLqezNaL0\ncj4VsnS+mcBofvZpdvZpdkopFTref/993nzzTUSEW2+9NdjV6VC0JyqItCdKKaW6Du2JUkqFil69\nelFRUcGePXsQEcaNGxdQLxR0vp4obUQFkTailFKq69BGlFIqVISFhSEiZGZmcsUVVzBt2jSioqIC\nKrOzNaJ0piyllFJKKaWUV01NTbCr0OHpPVFKKaWUUkop1QraiFJKKaWUUkqpVtBGlApZXXWumbai\n+dmn2dmn2SmllOoMdGCJINKBJQLTleebaQuan32anX1dOTsdWEIp1ZV1toEltCdKhSydbyYwmp99\nmp19mp1SSqnOQHuigkh7opRSquvQniilVFemPVFKKaWUUkop1YXpPFFKKaXUQeT5dlUppVTo0p4o\npZRSSimllGoF7YlSSimlDgK9F0oppToP7YlSIUvnmwmM5mefZmefZhcYzc8+zc4+zS4wml/npKPz\nBZGOzheYrjzfTFvQ/OzT7OzT7AKj+dmn2dmn2QVG87NHR+drRyKSKSIvi8hOEakQkZ9F5C8ikmij\nrF+KyDwR2e0ua6eIvCci5zbYLlxEJrmPu0FE9otIrYhMaLszUy0xcODAYFchpGl+9ml29ml2gdH8\n7NPs7NPsAqP5dU4h2xMlIocBa4BkYD7wA9AfGAJ8D5xhjClsYVmPA3cC24HFQB7QA+gHLDXG3FNn\n2wSgEDBADlAJ9AQmGmNebuU5aE9UAPSbncBofvZpdvZpdoHR/OzT7OzT7AKj+dnT0XuiQnlgib9j\nNaBuMcb8zbNQRP4M3AY8DNzUXCEiMhGrATUTuNEYU91gfViDXcqAEcAXxpgcEZkMPBDIiSillFJK\nKaVCR0j2RLl7oTYCPxtj+jRY5wJ2u39MMcaUN1FOJFbvUxlwRMMGVAvr4mlEaU/UQabf7ARG87NP\ns7NPswuM5mefZmefZhcYzc+ejt4TFar3RA12Py9puMIYUwJ8DMQCpzVTzjCsy/bmAEZEzhORu0Tk\nVhFpbl+llFJKKaVUFxSql/P1xbon6Uc/63/CaiAdCaxoopxT3eVUAhuA/3P/DCAisgoYZYzJa4tK\nK6WUUkoppUJfqPZEJbifi/ys9yxvbpS+FECA3wO1wBlAHHA88D5wNvB2QDVVSimllFJKdSqh2hPV\nVjyNyCrgAmPMdvfP34jIJVgj/g0UkV8YY9a1VyU813yq1tPsAqP52afZ2afZBUbzs0+zs0+zC4zm\n1/mEak+Up6cpwc96z/K9zZTjWb+hTgMKAPeAFO+7f+zf6hoqpZRSSimlOqVQ7Yn6AesyvCP9rD/C\n/ezvnqm65YD/xpZnnqmYllet5TrqaCNKKaWUUkop/0K1J8ozWMTwhivcQ5yfgTVs+dpmylmGNZDE\nMX7W/5/7+WcbdVRKKaWUUkp1QiHZiDLGbMYa3ryXiNzcYPU0wAnM8swRJSLhItLXPb9U3XK2AQuB\nQ0Tkd3XXichw4Bys3qj32udMlFJKKaWUUqEmJCfbBe+Eux9jjbC3APgOa16oQcD3wBnGmEL3todi\n9SZtMcYc1qCcTHc5PYHlWEOdHwaMxBqx73JjzPwG+9wNHOX+8UTgBOATrKHVAT4yxsxow9NVSiml\nlFJKdRAh24gCbwNoGnAu0B3YDcwFphljiupsdyiwGasR1cdHOd2BB4ALgXRgH7AKeMwY85mP7Vdg\nDX/uz6vGmAl2z0sppZRSSinVcYV0I0oppZRSSimlDraQvCdKKaWUUkoppYJFG1FKKaWUUkop1Qra\niAoCEckUkZdFZKeIVIjIzyLyFxFJDHbd2pqIXCoiz4jIKhEpEpFaEZnVzD4DROQ/IpIvImUi8qWI\nTBIRv69XEblGRNaJSLGI7BWRFSJyXhPbR4vIVBH5XkTKRSRHRN4SkaP87XOwiUg3EbleROaKyE/u\nLPaKyGoRmSB+pj/X/Cwi8icRWSoi29w5FLizeEhEUv3so9n5ISJXu/9+a0XE5z2fmp9FRLbUyarh\nY5effTS7OkTklyIyT0R2i/X/5E4ReU9EzvWxbZfPzn0+/l5znkeVj/26fHYeYrlcRJaLyA53HptE\n5G0ROc3PPpqfm4hMFJG17vMqEZH1InKjSCf+rGKM0cdBfGCN/JcD1ABzgEeApVgjAX4LJAW7jm18\nvhvc51oEfOP+96wmth8JVGEN7vEi8Cd3LrXAW372edK9fivwZ+BZINe97CYf20cCH7nXrwMeBWYD\nlUAJcGqwc3PX80Z3HXcArwEPAy8BBe7lb2t+Tea3H2vUzJfcf2dPu+tbC+wBDtfsWpxlT6zpHorc\nf8MT9LXXZF4/u/9O/4g1aFHdx+2aXbP5PV7n3P4BPAQ8D3yGNeCTZte4jif4eK15Hkvdf7fvanZN\nZvgSB/5/eAHr/423gQp3fmM0P7/Zve6u42733+pfgK/dy17xsX2nyC7owXe1B/C++4/xpgbL/+z+\nRf8t2HVs4/MdCPSp8+9a/DSigDj3m1c5cFKd5ZFYw9DXAJc12Od0d5k/APF1lh8C5GFNunxIg33+\n4N7nzQbLL3Av/yrYubnrMwg4z8fyFPebSA1wsebnN79IP8sfctfzJc2uxVkuxZrC4U/4aERpfo3y\n+hnY3MJtNbv69Znors8MINzH+jDNrtWZfuLO4rw6yzS7+vU5xF2fXUD3Bus8n102an4+s7vYXZef\nqNMRAIRjTUFUA1zUGbML+gu3Kz2weqFqgU0+1rmAYvcjJth1bafzb64RNcG9/mUf6wa7161osHyW\n+w9unI99prrXTW6w3NMAOdTHPh+61w0Mdl7NZOl5c3ha82t1dse7s1is2bUor0lANXAmMBnfjSjN\nr35dWtOI0uwO1CMS60qNn/HRgNLsbGX6f+4ctuEekVmz85lTP/c5z/Ozvggo0vx8ZvOqux6/9rHu\nBHcWSztjdnpP1ME12P28pOEKY0wJVgs8FmvS4K5oMGCweusaWoX1TcMAEYlosA9+9lkMCDDEs0BE\n+mBdmvSjMWZrS/bpoDzXtlfXWab5tcyFWDmtqLNMs/NBRI7GugTir8aYj5rYVPNrLEpErhKRP4jI\nrSIyyM+1/prdAcOAHliXuhsROU9E7nLn5+v/Rc2ueTdiZfSScX96dNPs6vsGyAb6izV3qJeInI3V\ne/JBncWa3wFp7ueffazb7H4+S0TC3f/uNNlpI+rg6ov1wvnRz/qf3M9HHpzqdDh93c+N8jHG1OD+\ndhKrRw8RiQUygRJjTI6P8nzl6fcYTezToYhIGHAN1mvpvTqrND8fROROEZksIk+JyGqsewRewrpm\n20Oza8D9OnsN2ALc18zmml9jaVjfnj6E9VpbDvzk/kBWl2Z3wKlY72uVWPfTLsRqxP8F+EREVopI\ncp3tNbsmiEg0cBXWN+4zGqzW7OowxlRg3adTCnwrIs+LyCMi8jbWB/f3gV/X2UXzOyDP/dzbx7rD\n3M/hdf7dabLTRtTBleB+LvKz3rO8043S10KtzcdOnp3hd/An4FhgkTGm7jdjmp9vd2A1nCYBA4C1\nWNdI1x2pSrNrbDLWpRjjjTH7m9lW86vvZeCXWA0pJ3Ac1gAJvYD/iMhxdbbV7A5Iwfp2+PdYl/Sc\ngdUDcDzWh9izsW7099DsmnY5Vr0WG2N2Nlin2TX2P2AmEA1cD9wNXIp1KeSrxpi8Ottqfgcswvq7\nvV1EkjwL3T1P0+ps51nXabLTRpRSIUREbgVuxxrFZ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E0snuflmG5wQAAACAKZXZPVGoHfdEAQAAAONNm3uizOwrZnZ6VscD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\nNti9drgCLugUOuiV+rQslQuEArB4LPCH/MK+p3x1PnIUOV0+FkLSjYI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7wp8+fPT0/QMHLkyMRtzIyRI0fi7jkn4zj00EMT00tKSujTpw9AUeWeN28eZ511FkOHDqVr1647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\nMbONZvZ3M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IufeZsIP1jeRFarXkuLncWTiIiIiIiISB40sYSIiIiIiEgBVIkSEREREREp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\n", 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B4eIseezZEwqs3bvH7pwVF2vJtvEqztraSg9jTBdk6eGO6XvTkk7ZeecZX/mK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FAAAg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\nd3eoAwGOO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"text/plain": [ "" ] }, "metadata": { "image/png": { "height": 282, "width": 424 } }, "output_type": "display_data" } ], "source": [ "from sklearn.learning_curve import learning_curve\n", "\n", "for label, model, orig_params, optimal_params in model_params:\n", " model.set_params(**optimal_params)\n", " \n", " train_sizes, train_scores, test_scores = learning_curve(\n", " estimator=model,\n", " X=X_train,\n", " y=y_train,\n", " cv=5,\n", " n_jobs=1)\n", " \n", " train_mean = np.mean(train_scores, axis=1)\n", " train_std = np.std(train_scores, axis=1)\n", " test_mean = np.mean(test_scores, axis=1)\n", " test_std = np.std(test_scores, axis=1)\n", "\n", " plt.plot(train_sizes, train_mean,\n", " color='blue', marker='o',\n", " markersize=5, label='training accuracy')\n", "\n", " plt.fill_between(train_sizes,\n", " train_mean + train_std,\n", " train_mean - train_std,\n", " alpha=0.15, color='blue')\n", "\n", " plt.plot(train_sizes, test_mean,\n", " color='green', linestyle='--',\n", " marker='s', markersize=5,\n", " label='validation accuracy')\n", "\n", " plt.fill_between(train_sizes,\n", " test_mean + test_std,\n", " test_mean - test_std,\n", " alpha=0.15, color='green')\n", "\n", " plt.grid()\n", " plt.title(label)\n", " plt.xlabel('Number of training samples')\n", " plt.ylabel('Accuracy')\n", " plt.legend(loc='lower right')\n", " plt.tight_layout()\n", " # plt.savefig('./figures/learning_curve.png', dpi=300)\n", " plt.show()\n" ] }, { "cell_type": "code", "execution_count": 79, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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Ukt5kgl5HNCUyKQqBFCaUJBDMFz1NkWCUcHDooskY2LihpUwwvboiSjLRP6PE\nzF09gmlBmnnzU7S2Df6M+4eMuXWiNGSsEYp1lEypFlFZ7aaK97U+g/VsVr43Bj62ZD7X376y2Fbt\nG3u1MMt6z1VjNMb6fb7Bxp94ePNF1A66NVBRth+tqeJf1Db+RW3jX/xqm3S63MuUSkEqXaAvmaTH\nEU2xVBITdERTMIlEsoyf0Eo0GCESnEI4GBnStY2B7k0hXnm5JJheeTlKX0//DVJTpmXZa58Uey6w\nHqY9F6QYN75QZdbBOXjhUfz89zc6IWOHk4gLbe2HOyFj/vJADZdQqdXmLSbbr61C6FSed9NqV6YU\n934OBMrTZbsvlWO9Y4LB0ucPn30erdGBn89g5xr520WtvvXMWe91q46t2rH6+LrmG+ZzfkQ9UU1E\nPVGKoijKzoTrYfKKJiuiDH2pZHFPU16saDLBFIVgEhPMEA1GiQQjRIKthAMRZAhZFrZtDfKKx8O0\n6qUoWzf3/3vyxEk5RzA5e5kWpOicnB+OR1CVUREqdYiUau2DCZV+bVJe58dNCV9Zb6hyXK3P/do8\n8/e7fkWbe/2Brl3rOt458Ty/arYb7FxDYmYYhcv2Xnc417K9505fspCtb3dX6aueqCEhIrOAfwOW\nAJOBt4Cbge8aY7Y1ONcxwHnAYUAntmz188CPjTG3VekfAD4FnAXsB0Sd6z8BfNMY8+oQb0tRFEVR\nxjzZbC3BZEVTLJWiN5kgS5JCMGFFUyiJmZAmb1K0BMJEglEiwU4igWjDoikeC5R5mFa9FGXTW/0T\nSnSMy7PngpJgmr9Piq5puRHLhFco2GeTydgjm7V7roYqVCrbvKJloPm8n/u1NSBUBhNDleupdl+N\nzFntvpQdn61vd5e2DUL5+yYxZkWUiMwFHgG6sMJpJXAIcD6wREQWGmO21jnXpcBXgfXALUA3MAU4\nCFgE3FbRvx34E7AYeBq4FkgBs4B/APYCVEQpiqIoOwW5XLlQ8gomVyz0JVNkjBVMhUASE0xiJqQo\nmBTpfIqghIgEbYHbcHAqAam/qm0qKaxeFWHViyXBtGFd/31R0dYCe+xdLphm7JIdOcFkIOvcfyZr\n3xcKtmhvOAytrTBhgv08XKJiIOEVqCViBplTUZT+jFkRBfwcK6C+aIz5mXtSRC4DvgJ8H/j8YJOI\nyLlYAfVr4J+MMbmK9mqVI36JFVefMcZcXWXOYayfrSiKoij+IZ+vLZi8oimdT0MoST6QoBBMQEeK\nvKRI522vPuL7AAAgAElEQVTa8YAEidJKW6iDiZEugnX+6sxkhLWvhss8TOvWhCkUyr/xt7QUmLtX\nuhSSt0+KXXfLDEs9qGoY09/DlMt5BFMUxo+z78NhiETs4X5Wms/C/RbS/Vb/kLFKumZ08dDzD43C\nihQ/Myb3RDleqFeB14wx8yraOrBhdQBTjTHJAeYJY71PCWDPSgFVY8y7gSeB3xtjzhziLbhz6Z4o\nRVEUxbcUCgMLJlc0FQoQaMlggknyQSua8pIkk0+TKiTJ5FKICJGgzZ4XCUQJBgb/O24+B+vWWsH0\nyktRVr4UZe2rYbLZitTiQcNuc9PsuU9JMO02L03L9peDqkk22180hUIlUdTSYg9XLLmH63VS/Mf8\nrvn1hYkthZXdKwfttqOQzWfJFrJk8pm63h8661BaW1rrnv+SBy9hU2JTv/ky+Uzx86ovrqoazqd7\nohpnsfN6R2WDMSYmIg8Bx2L3N907wDzHYsP2fggYETkB2Bcbmve4MebRKmPOxG4vvFFExgMnA7tg\n91DdY4xZPbRbUvzGWK6psqOjtvEvahv/MphtvMVrvaIpkykXTLmcFQPBlhwmnCDYmoBAgnTehuWl\n8kky6RQGiASiRINtTGjtJBQYWNEUCvDm+hYrmF62gmn1ygjpVLlgEjHsulu5h2nuXmmi0ZH7g6Qr\nmLyiKRiEljCEW5yQvDBEwuWCKRyuTzBdfsnlfPHrWovIl9xL6VvnCGCMIW/yZcKhs7WTUB1/ZHC5\necXNbE1uLRcghf5CxP180eKLmNo+te75j7/+eN7ofaPu/needSezJ9SfYfLONXeyvnd93f39wlj1\nRF0K/AvwVWPMj6q0X44N5fu8MeYXA8yzFPgWcAlwIvAuSvlXBHgAON0Y0+0Zcx9239OXgW8Dkyqm\n/Tk2xHDQB6ueKH8zVmqq7IyobfyL2sa/eG1TWby2mmBKp61gckPPQuE8hUCCXCBBKp8g4wgmK56S\nFIwhEowSDbYSDg5c4NYY2LQxVPQwrXopyisrIsRj/WPtps/MlHmY9pifpr1jaKnF6yGfL/cuZTI2\nOYIblhcOO+LJI5rcZxSofxtXGfO75u9Ung2/kclniGViHL7r4f09UUupeq4Re3321s/yes/rVT0s\n2XwWU5H677Yzb2P3zt3rnn/JdUtY27O27v5/PfOvzOucN3hHhxNvOJE3et+gJdhCOBimJdBS9j4c\nDJd9/u6i7zJj3Iy6579j9R2kcilagi1l87nvw8Ewp+x9inqihokJzmtPjXb3/MRB5pmKFUtfA14E\nFgLPArsD/4nN+vffwNFVxvwQWAZ8E9gAHApcCXwO2ARcVPfdKL7ErzVVFLWNn1Hb+JNcDr7+9e/w\n9tsl0VQpmLLZUvhZNArt4/IUAknShQTJXMLuZcqWvE0Fk3cK20ZpD40fsMDtlu5g0cNk9zJF6Nna\n/yvI5Ck5Ty0m+zph4sgJpkKhv2CCUjheR0dJOFXuZRrOvVXnfe284ZtsJ8EYQzqfJpaJ9TsO2+Uw\nOsIddc910g0n1RYhR23/Wtf3rmfN1jU124MSLBMNBRr7mT9l71PYltpWt8iZ1j6toflv/ditDfVv\nlOPmHTei848UY9UT9QvgHOBcY8w1Vdq/B1wIfMMYc8kA81wJfAYbvjffGLPe09aKzfg3CzjCGPOY\nc34FNvveC8ABXo+TiOwPPAXEgK7B9lipJ0pRFEUZKfJ56OuzRywGyWR5WF4oVB56FmopkC4kSeUS\npPJJkrkEmUKKdC5FqpAkV8gSDkSdek2ttATCVdOO9/UEikVrV70UZdVLEbo39Q/lGz8hXyaY9ton\nxeQpI1eLqVamPO8epkqxVPTCDeOfnHf25AXud55GUtYvvW8pqzavKoqkeCZOLBsjV6j+NeuWf7yF\nvbv2rnv+j/zPR1jbs5ZtF2wbkT1Ra7auwRhTU+QEA5qPbDD67Vdz3jfTEzVEx3PTcT1NE2q0u+cH\nqxXltj/tFVAATkKK252Ph1SMMcCfK0P2jDHPAa8B44AFg1y7iIjUPBYtWoSI1IxjX7p0qbZru7Zr\nu7ZrO2BFQW8vbNgA55+/lM5O4dvfXsobb0A8bsXApEkwezYsW/YdjjxSuPJX/8qW3HrWxV5lXd+r\nrIut4Y3Ya1z50+9z6mHv5n+uuZqJ4cnMbJvDlNbpjAtPJByM8LurruD4g+fzn0t/zk2/6+Tib0zn\nkx/cjTPevwf/74u7cO3PruDh+8bRven7tLXnOeC9CU4/awvfuPhNrr15DSed8WX+/kgHgeBSDj8q\n3k9AXffLyzn+4Plc98vLq97/QO3GwLU/s+2//MnlbNwIb71pn02hYDPl3f7Hy/nUKfO580+Xs+uu\nMHsOzJljn8306fC7X17Oe+bM5+eXVb/+5Zdczvyu+Vx+SWPt3W859W5cD8dRlELGPEf3W91Dmr8Z\n7XetuYtrn7mWKx6/gksevIRv3fMtTvjMCczvms9RnziKk244icW/WczBVx3MPj/bhxc2vdDQ/C+9\n8xJPvvUkKzevZEPfBralt5G7OwdLIfpglDkT5rDvlH05ZNYhHL370YSD4Ybm/8MZf+Cxcx4r73Av\n1hY1dtY3Mv/czrnMmzSP2RNmM71jOpPbJvObH/+GA6YfwM/+42eDjt+Z290DKP834gPGqifq08BV\nwC+MMZ+r0n4bNmnE+40xNRNLiMgngV8By40xJ1Rpd/deXWiMudQ59xvg/wIXGGP+o8qYx7H1pQ43\nxjw+yH2oJ0pRFEXZLoyxAsn1OsXj9kgkYMuW1dx00xUsX34DiUQ3bW1dHH/CaXzo/57JpBlTSedT\nZPIp0gUbplcqcNvar8BtJm1rMVkPky1iu35tmMo/BEciBebNT5d5mGbNzg55v1A995/LlcLy3OQX\nbnY8r6epMulDM1KLNyMDXCwToy/dR1+mryzsLZ6Jl4fCZW2/Lx36JfaYtEfd85+57Ez+/ubf6+7/\nm1N/w2G7HFZ3/2c2PkM2n6Uj3EFHuIP2cDsd4Y4BQ0iHgmbn8y+1PLi6J6pxXGHUL4jSSXG+EJu2\nvFp2PS93Y71K+9Rof5fz+prn3F3AWZ4277XDwJ7Ox7WDXFtRFEVRhoQxNjyvt9eG6nmFU0sLtLfD\niy8u5ytf+TjZ7Dnkcg8Dc4jHX+fmZVfx5z+dwue/+8+8+7AjiARb6QiNZ1KkVOA2l8MKJiccb9XL\nUda+GiGfL/++EgoZdt/TE5K3IMWcuRmCI/jtolpq8WCwJIra22sLprGWWnxbaltV0fPeme9lWkf9\n+1o+/5fP89iGxwbv6HDGPmc0JKKOnXssC7oW0BHuYFx4XFHseAVP8XNLOy3BxnLPHzj9wIb6Kzse\nlaGtRe9UExmTIsoYs0ZE7gCOFZHzjDFXeJovAtqBn7s1okQkBMwDssaYNZ551onIn4GTROTLxpgf\nu20ichw2scRW4DbP/DcBFwMfEZErjDFPeNq+jQ0lvNsYs2k471lRFEVRksmSxymRKImnQMAmQZg5\n04bsrV67gi9/+SxSqT8Dh3tmmEc+9wPyuVP4+XdO4ue/P5RxMybxxuthXnk5Uixgu2ZVhEy6ohZT\nwDBnbilL3l77pNl9jzThyMhFU7geJlc0ZbNOprwqqcUrC9iOlOdrNDn06kOrnr/yhCsbElFT2qcw\nvWO6FTIt/cWNV/i0h9sb/oJ69oFnN9RfUXYExqSIcvg88BDwExE5BngZWxdqEbACmzXPZZbTvhaY\nWzHPF4ADgcucOlFPO31OAXLAOcaYPrezMSYhImcDfwb+JiLLKGXnOxLYCHx2GO9TaRJLl2q9G7+i\ntvEvapvhJ53uH6oXi1mvSns7TJtmRUPBFEjkYvTFe/jpL39ANncO5QJqKaVYpcPJpM/hq+feQjLx\nE5KJ/opj5q6ZkmBakGbe/BStbSMnmLypxV3xJFIKyRs/vjw8zyuYhjNTXlOoUYtofGR8Ufh4Rc+k\n1srqKgNz2XGXDc86d3C6ZnTRvbS+pB+KMib3RLmIyCys5+l4YDLwFjbt+EXGmB5PvznAGmCtMaZf\nYnwRmYz1Ip0MzAB6sTWifmCMqRrkKyL7YWtMHYX1Pm0EbgW+Z4zZWOf6dU+Uj9F6N/5FbeNf1DbD\nQzZrRVNvb0k4xeM2KUJ7uz0iEds3lUvSl+0hnu0jkYuRyMX49JJTSSUexwZhuAiU1aNZjY1+38iU\nadmiYNpzgd3PNG78yKcW93qYjCntXaoUSyOVWnwk2JrcSt7k6Wqr/kW76r6bpWx3LSJlZNAaXv7E\n9ZbqnqghYozZAHy6jn6vAzX/2zXGbAbOd456r/088OF6+ytjD61341/UNv5FbTN0crnqHqdcDtra\nYPJkW78JIFfIsS3dS1+2h2QuTiJrxVMo0EJbqINUchswp+IKlbaZjUg3NyxfTefk5qQWb2mB1lYb\nllfpXXLb/Uwmn2FF9wqee/s5ntn4DM+9/Ryv97zOOe85h68d8bX6JxqGWkTKyKA1vJRajGlP1FhH\nPVGKoig7N/m8FUpuLadEwr6m01Y4tbdbkSFif1fEczFiRa9TnEQuRt7kaQu1k41N4NF7JnHfHeN4\n4endgYcp90RVspq29sNZdt+Dw3Y/xpQnfchk7D1WZsmrJpiakSmvEYwxvNH7Bs++/SzPvv0sz218\njpe6XyKTz5T1iwQjnLHPGXzrqG9VnUczwCnK9qOeKEVRFEXZySgUrJfJDdVzs+ulUtbT1NFh9zm5\nmeTS+RSxbC+xbC+JXIx4LkY6l7QFbzOTeP6hKdx3xzieerS9mD0vEPgoBXM1mItrriMYuoqjP3Di\nkO+jVmrxUKgkksaN6y+aIhF7bixlyntm4zN87i+fY0tyS7+23SfuzgHTDmD/6ftz4LQD2WvyXg1n\nn1MUZeyhIkpRFEVRRhhjrJept7c8s14iYUVFeztMmVLKKJcv5Ille+nL9Dj7nOIkczECEqSlMI41\nT8zhb3dM4NEHOkg7WfQCQcPBR8Q5akkvc/c4ia98+iOkUydTnlzC5RFCoas57cwb674Hb2px97Va\navFKwTQWU4tXMnPcTLYkt9AZ7SwKpgOmHcB+U/djQnRCQ3Np8gJF2THQcL4mouF8iqIoOzaJRClU\nz/U6JRLWW9PRYUP2Qs6fM40xJHJxYtle4rm+4j6nbCFLVDpY/fw0HrpzEg/e00Gsr7TNd98DEyw6\nro9/eH+MiZ2lvU1PPHQ/37vgQnK5c8jnzgVmA+sIhq4iFLqab/7gYg5eWH0zjje1uCuYvKnFw2Hn\nvZNefKylFn8n/g5T2qc0NGZ973p2GbdLWQFiRVGagx/C+VRENREVUYqiKDseqVR5LSdXQAUCpcx6\n3oQJmXzaE64XJ57rI5VLEA5EefOVqTx85xQeuGs8W7pLwSNz90yxaEkfRx3Xx7QZuZprefONdSy7\n/gbuWX4rycQWWtsmcfQHTuS0Mz/GzF1mA6VMeV4Pk5ta3LuXaaymFo9n4ryw6QW7j+nt53j27WfZ\nFN/E4+c83rAXSVEUf6AiaidHRZS/0Xo3/kVt4192VttkMqVQPW9KcmOsaOroKE+ckC/kief6Svuc\nnPTkIGzbMIVH75rOA3dO4M31pUEzZmU4akkfi47rY7d5mf6LGITrfnk5Z577xVKmPE9qcVcsVUst\n7r4PjYENAPlCntVbVxcTPzzz9jO8uuVVCqY8Xfv4yHiuOfka9pu2X5NWWs7ll1zOF7/+xWYvQ6mC\n2safqIjayVER5W+03o1/Udv4l53JNm4tp8qU5Pl8STi5tZxciuF6nppOmXyaxOZO/n7vLP52Zyer\nV0aL/Tsn5XjfsX0sPr6P+fumhrS3KJOxHrF/PHY+19yysqpgKoqmiA3P83tq8WpcdP9F3LziZuLZ\neNn5UCDE/MnzOWD6AXY/07T92W3ibgTEP3GHWovIv6ht/IkfRNQY+LuSojQHrXfjX9Q2/mVHt00+\nXxJO3pTkmYwVTpMm2ZTkXjL5DLFcL3E3XC/bRzIXJ9XbzrN/242H7urihafbiv3bO/IsXBxj0ZI+\nDjgoQXAIv6mzWbu2ZNJ+bmuDj37qPGbNqp5efEdAEOLZOLPGzWL/afsXE0DsO2VfoqHo4BM0Ea1F\n5F/UNkot1BPVRNQTpSiK4n8KBSuUentLwslNSd7aasVTW1t5BrqCKRDP9pWSRDjiKZUI8NIju/LI\n3VN56tGOYkrycKTAIUfGWbykj4OPiBOONP57IZ+3a0skbIhea6s93HpT7e1jJ1NewRRIZpO0h9vr\nHrMxtpFQIERXm2a1U5QdHT94olRENREVUYqiKP7EmPIiuG64XjJpazm5wqkyE10ylygmiUg6xXDj\nqTQr/z6Lx++ZweMPjC9LSf7ugxMsPr6Xw4+K095RqLKSgSkU7JoSCet9ckWTK+7cYr1+Z0tySzHp\nw7Mbn+X5Tc9zwp4nsHTR0mYvTVEUH+IHEaXhfIqiKIpCqZZTZWY9by2nyZP7Z6TLFrLlwikbI5aO\n8erzU3jingU8el8nsd7SoH0OSLLouF7e9/4YEyflaZSCgVTSiqd0GiJOgV6vcKr0jPmJTD7DS++8\nVEz+8Ozbz7K+d32/fm/0vtGE1SmKotSHiihFURRlpyaZrJ6SPBSygqSzs39mOmNMMbueTRIRJ5bt\nY82Kdp68dzaP3D2FLe+UsjPsvmeaRcf1ctRxfUyfWTsleS2MsYIpkbBhhJGIFU2dk6C9rVRzys81\nmtZuW8vX7vwaL7/zMtlCtqytNdTKu6a+q7iX6YDpBzC9Y3qTVqooijI4KqIURVGUnY50upSS3N3j\nFItZ7017O0yfXj3hQjqfoi/T4+xzihHPxVi7Rnjy3l159K79eHN9KR3f9JkZFrkpyfdoPCW5u86k\n43UKBq1QmjjRCqiODrvWsVCrCWBy62Sef/t5APaYtEdJME07gD0n70kooF9JFEUZO+ieqCaie6L8\nzc5a72YsoLbxL362TSZTPSV5rVpOLrlCzlMMN0YiF2fDm1meuHc6j909gzUrS8kPJropyZf0sfe7\nhpaSvDKznruvySuchpKCfLjr3WTzWVqCjS3kybeeZK9JezEuMm7Y1rEjoLWI/Ivaxp/4YU+Uiqgm\noiLK3+xM9W7GGmob/+I32+RyVjT19pYXwc3lSvuHolWyXxtjnBC9HmJOSvK3N6d49L5JPHH3LFY8\nOw73d3dbu01Jvvj4oackz+VKCSKMKSWHcPc51RJ4tVi430K63+oetF/XjC4eev6hQfsZY3iz781i\n4odn336Wl955iTvOukPD7oYBrUXkX9Q2w4MxhoIpYDDF4tcFU7DnjMFgin3cft4xbh+3/9Fzj3bn\n1cQSiuI3dvR6N2MZtY1/8YNt8vnqKcnT6fJwuGpeokw+XeZ12tyX4NEHOnji7t147rFJxZTkLeEC\nhx5pazkdsnBoKckLhZLHKZezYm7iRLvGNmefUzWBVw/db3XD0oqT9wKLK/otrS60YpkYz296viiY\nnnv7OboT/fuu7F6pImoY0FpE/mVnsU2lSPG+ryZqagmh4hgKYErtgiAiBCSAiCB43osQIFB2LiAB\nAoFAaRyl84I/suaoJ6qJqCdKURRleHBrOVWmJE+lrBBxEy9UE075Qp54ro++bA+JXIzeRJzHHwnz\n6F0zePqhLtIpu+koEDAceEiCxUv6OGJRbGgpyT2Z9VIpiLbaxBBu2nQ3y972Ztab3zW/v4iqxlLK\n/sr+66d/zU0v38SrW17FUP67aWJkIvtPd4rYTtuf/aftz8ToxO1bqKIodTOYqPEKGa/Icfu5n2t5\ndwISICBOCQaPmCmKHqqcq3zvvCIU5+snjobhXLTF/oVJPVGKoiiK0iDGWKFUmVnPW8tpypTqGeuM\nMSTziWJ2vVgmxtNPBnnwzsk8ef9exHpLe30W7Jdk8fF9/MMxfXRObjwluTFWMCWSkK7IrNfRXrvm\nVDPYmtrKK1teoSXQwt5de1vB5AinORPmIH7Nm64oPqBaONpAoqZayFotUeSKHNczUykqvELGKz5a\nAi3FNm+7K3IqRUrZHAOca1T07Ij/d6iIUhRFUcYMxliR5IbquR6nRMImW6hVy8klk88Qy/USz/YS\nz8Z58cUC998+gcfv3Zet75Qy6+22h01Jvui4PqbPajwlOZSnJA+FrFDqdML13P1Yfsusd/o+p3P0\n7kezoGsBkVBk8AGKMsbJF/JF4eK+d4+8yQ8c5oZzzhE//ULUKj0zlIsKN2St6P2p4emp9Xm4PT1K\nY6iIUhRFUXxPKtU/JXk8br037e0wY0btjHUFUyCeLYXrvbo6x713dPDoXXPZuL6UWW/azKwVTkv6\n2H2IKcm9mfVErGCaOrW8EO5QMuuNFrMnzGb2hNnNXoai1I1X9BRMgXwhXyaIqokj7+GKiYAECAaC\niAhBgkVhEQqGau7LqeYRGkmvjuIvVEQpiqIoviSdrp6SHOzeoWnTBs5Yl8wlikki1r+Z5r472nnw\nzl14fdX4Yp+Jk3K87/19LFrSx4L9hpaSPJezwimRsJ/b2qw3rLWtFK7XSGa97WFF9wqWvbxsdC6m\nKMOAMYa8yRe9O+77gQ7XQ5Qv5MtEULUjKEHCLeGiIAmKI5QCwbI+roiqPOc9BhM9ys6FiihFqYGf\n693s7Kht/Mv22iabrZ6SvFCwYmTqVLunqOb4QrYonDZtTnHvXWH+dkcXK5/tLEtJfsQim5L8wPcO\nLSV5Pl/yOOXz1tM0aVJ5SvKB1jmcbEtt49ZVt7Ls5WW8+M6LtTtWyc6n+IOxXIvIDWVzhU2ZyKkQ\nR9VEEoaysLaiyPGIGHdfTzVh4wofb1vluYEE02Do7xulFpqdr4lodj5/47d6N0oJtY1/GYpt3FpO\nXo9TPG4Flbt/qLW19nhjDPFcH7FsL5t7YzxwXwv33T6B5x+fRD5nvyS1hAscsjDO4uP7OPiIOJHo\nEFKSO5n1EglbuNdNXuG+uuscja0F+UKeB9c/yLKXl3H3mrvJFrIAjI+M54Q9T+D3p/++f3a+pVQ9\npzVwmk+zaxENJQzOe1Tz7rj7f1xx5J5zQ+YGEz71iqGR3sujv2/8iWt3zc6nKD7ED/VulOqobfxL\nvbZxazm5KcndzHrptBUiEyYMLkhSuSSxbC/bkr088nCQe27r4Mm/7UE6ZX+1BQKG9xwaZ9GSPhYu\nHlpK8mJmvYRdWyRihV1XlyPwOmyK8tHck/2HF/7AFU9cwab4JgAE4cjZR/KhBR/imN2PIRKK8Ht+\n33/gUaO3RqUxtrcW0YChb7XEEQUKhf77gorCh5JXKBQIWfGDxxvkEUf1eHxqiSO/JzTQ3zdKLdQT\n1UTUE6Uoys5EoVBKSR6LlbLrubWc6kn1nSvkiGV76U338vcnC9y9vJ1H7p1E3JOSfO/9kixe0sf7\n3j+0lORgBZO7tnDYCjpvcoi2tuZl1rvxhRv5zn3fYc6EOZy24DRO3fvUfgVvF+630BbcHYSuGV08\n9PxDI7VUpU4GC4MbzBOEoZQUoUrIW7V9QkVv0BCET+U4RRlt/OCJUhHVRFREKYqyo2OM9eJUS0ke\nidQnSGy4XoxYppfnXsxw5/JWHrxzIlveiRb7zJmbZvHxfRx1bB8zdskOaa2ZjN3jlExaIdfaatfW\n2mr3OLW321TlzaYv3cfKzSs5aMZBvv8rvlKOMYZsIUsmnyGTz5DN2/fFBAmBCsHjCX8rCp+Kc9sb\nDqfprZWxiIqonRwVUYqi7KgkEiWPk3efUyhkBUlb2+CCJJNP05ftYeXqFHcsD3Pf7eN5a11bsX3q\njCyLjutj8fG925WSPJksz6zX2tqczHrKjoVXJGXyGbKFLLl8jlAwRDgYJhwM0xJoKb7fHq+QiiBl\nZ0NF1E6OiihFUXYkslnYtq1Uy8kVUG4tp3pqJOULeWK5Xta+GeeO5SHuva2D1Ss6iu0TOnO87/0x\nFi/pZcH+Q0tJ7mbWSySsp8wN1fMWwR2tzHoAiWyCSDBCMOCzyrtKXeQKuaqCKSjBklgKthAO2NdI\nKEIkGCEcDBMJRYp9FEWpHxVROzkqohRF2REoFGDzZtiyBXp6rHgyppTqezBPjjGGZD7Bm9293HGH\ncPdt7bz4VEcxJXlrW56Fi2MsWtLHuw8eWkryQqEUqpfJlIfqeTPrjRbGGJ7a+BTLXl7G8leW86Pj\nf8RRczTzg5/JF/LFUDxXMGULWTAQDpV7lVqC9n0kGCkKJVc4qddIUbYfP4goH0R3K4o/0doQ/kVt\n4w+MsaJp82brgdq6FW64YSlf+crSujw5mXyG7t4e7ronz53LW3nykWnFlOShlgKHLLS1nA5ZOLSU\n5MaUhFM6DREneUVXV3mCiNH8Tvt27G1uXnEzy1YsY+22tcXzT7311IiLqLFci2g0qbVvqWAKZR6l\ntpa2omhyvUpeD1MjCRf0/zT/orZRaqGeqCainih/o7Uh/IvapvnE4/DOO1ZEbdliQ/YmTYL99xdW\nrqxtm4Ip0JPo494H09z+1zCP3D+OdNKGsUnAcMB74xy9JMYRi2N0jBtaSvJ02obqpVI2LK+1FaKt\nNhW5ux9roAyAw006l+bu1+7mppdv4uH1D9tsasCUtimcuvepfHDBB5nXOW/E19HsWkR+pNa+pZZg\nS9Gb5PUweb1K7vtQYPv/Hq3/p/kXtY0/UU+UovgYrQ3hX9Q2zSOTseJp61Z7ZDIQj6/mxhuv4E9/\nugGA97xnGief/DE+9anzmD3bioN4JsHDTyRY/pcQD9zVQV/PhOKce+2b4OjjY7zv/X1M6hp6SnLX\n6xQMWqE0cWIps149iSyGE2MML2x6gWUrlvGXVX+hJ90DQEughWPnHsuHFnyIhbMXDssX8HrZ3lpE\nY5kB9y2FwoQDYdrD7TX3LUWCEVqCg2zo2w70/zT/orZRaqGeqCainihFUcYK+bwN29u8ubTvacIE\neOaZ5Zx//sfJZs8ll/s0MAd4nVDoV4RCV/GFr/yM9RuO5Z7b2+h+u7Q5apfdkxy9JMaiJTFmDjEl\neXQ3qpEAACAASURBVDZrPU7JpP3s7mvypiQfLJHFSNGX7uOIa44gk7dZA/edsi+nLTiNE/Y8gc7W\nzuYsaifAu2/JK5oEKYqloodJ9y0pypjFD54oFVFNREWUoih+xxi736m724qnbdusV6ezEzZsWM3J\nJx9GMvkn4PAqox8BTgYeBebRNS3NoiW9HH18nN33yAxpL1IuV0pJbownJXlr/YksRouL7r+IUCDE\naQtOY++uvZu9nB0KY0zRm1Rr31Jlsoft3bekKIp/UBG1k6MiSlEUPxOLle97CoXsvidXpCxd+hX+\n539ayeX+fYBZLmD23B7O/8aFLNgvNaS9SIVCyeOUy0E0asWTe3R02HPKjoc3yYM3I17lviWvh2mk\n9i0piuIfVETt5KiIUhTFj6TTsGlTSTzlclY8tbWV93vPe6YRjz8MDJQUYTVt7Yez7L4HG1pDwUDK\n2eOUSpUSQ0SjJY9Ta+voZtZTRhZ331KlYPLuW/ImexjtfUuKovgHP4go/dOMoiiKAlix1N1dShqR\nSNjkDOPGlcSKW9OpJ9VDPN6N3QM1ELNJJrbUdX03s148AWlPZr3OSdDhSUk+mpn1wO6zeXD9g6zb\nto6zDjhrdC++A1LPvqVoKMr4yHib5KGiMK3uW1IUxQ9oMLCi1EDrQvgXtc3wYoxNGPHaa7BuHWzY\nYIXKrFkwfrwVUNlCli3pbtbHXmPZbe/wiY9MALqA1ytmW1rxeR2tbZMGvH46bUXbxo3Q1wfRCEyf\nbq+/666w2xyYNs16n0ZTQL229TUue/gyFv1mEZ/582e49OFL6Un1jN4ChpnLL7l8VK9njCGdSxPL\nxNiS3MLG2EbW96znjd432JLcQiaXIRwMMzE6kV3G78Lunbszt3MucyfNZY9Je7Dn5D3Za/Je7N65\nO7PGz6KrrYvxkfFEQpEdTkDp/2n+RW2j1ELD+ZqIhvP5G60N4V/UNsNHb6/1PrnFcsNhmzQiHLb/\nN8VzffRlekjkYjzxBPzuyhm88vxEACLR88lm2igULvbMKEDJNsHQBXzg1E2c9/ULyq7rzawnUtrf\n5CaIaFZmvVgmxvJXlnPTyzfx9Mani+fnTJjDBxd8kDP3O5PxkfGjv7BhYKTqRA1131Klh2ln3rek\n/6f5F7WNP9Fwvu1ERGYB/wYsASYDbwE3A981xmxrcK5jgPOAw4BOYDPwPPBjY8xtg4y9GviU83EP\nY8yaRq6t+BOtDeFf1DbbTzJZnjSiUICuLiti0vkU3cke4rk+ErkYL7xQ4MZfzOaFJ7oAmDAxx0c+\nuYWDDjuZL33iI6RTJ1PKzue1zSOEQldz2pk3AjZcMJGwB1jRNHkytLaVwvWakVmvYAo8tuExlr28\njDtW30Eql7Lra2nj+D2O50MLPsRBMw4a896P4agTVc++pfZwe799S95QPN231B/9P82/qG2UWoxZ\nT5SIzMXmz+3CCqeVwCHA0cAKYKExZmudc10KfBVYDywHuoEpwEHAXcaYCwYYexJwC9AHdAB71iui\n1BOlKMpok82W73tKpaznqbUtb71OWet1imdjrF5d4I/XzOOJ+6YC0Nae50NnbuXUj26jvaMAwBMP\n3c/3LriQXO4c8rlzgdnAOoKhqwiFruYb/34x+777KBIJW2uqtbW/x6mZmfVue/U2Ln3oUjb0bSie\nO2TmIZy24DSOm3cc7eH25i2uidTatxSQQDGFuLfeUmWCBzel+FgXnoqi+BM/eKLGsoi6HXg/8EVj\nzM885y8DvgJcaYz5fB3znAv8Avg18E/GmFxFe9AYk68xtgvrrboXmAG8DxVRiqL4kELBepw2b7ah\ne729NmFEpCNBPN9DPGu9TolcjLfeFP7y2/k8sHwKhYLQEi5w8hnb+PDZW5gwsdBv7jffWMey62/g\nnuW3kkxsobVtEu879kSOPeljdHbNLqYk9wonv2TWu3/t/Xzm1s8wc9xMTt37VD649weZPWF2s5c1\nalTWW3IFU8EUit6kynpL1VKIa70lRVFGExVRQ8TxQr0KvGaMmVfR1oEN6wOYaoxJDjBPGOt9SmDF\nT65W3xrj/wgcCuwLLENFlKIoPqSnp1Qsd+tWCLZkCY/rJWl6SOTiJLJWPCV7x/HX383l9j92kcsG\nCAQNS07u4WOf3sKUaYP/95hO29pS6XQps56716m9w6Yo94Nw8pIr5HhiwxMcusuhO7wQqPQqZQoZ\n8vl8mUfJW6S2WgrxYCDY7NtQFEXxhYgaq3uiFjuvd1Q2GGNiIvIQcCx2f9O9A8xzLDZs74eAEZET\nsIIoBTxujHm01kARORs4GTjFGLNVQxYURfEbiURp31N3tyFViNEyrodMoI/NqTjxXB/GFCA1gTtu\nPJCbb5xMKmmFxKIlvXz8nzYzc9fsoNdJpaxnq1Cw3q3OzpLHqa0Ngj7+3h0KhDh818MH7zhGyeaz\nxDIxYtkYGMr2LXUGO4uiSfctKYqiNMZYFVHzsemfVtVofwUrkPZiYBF1sDNPBngaeBeltFIiIg8A\npxtjur2DRGQO8GPgOmPMrUO9CUVRlJEgk7Hiads22NidZmuih5aOPiQcY1uuj3QuSSTYSrQwmTtu\nmsEffjOJWK9VOoceGeMTn+tm7l6ZQa+TTFrxBFY8eY9Qk367ZPIZjDFEQpHmLMAHGGOIZ+PEMjEy\nuQzt4Xamtk2lPdxeFEu6b0lRFGX7GKuxCxOc11oFO9zzEweZZyo2H+/XgAKwEBgH7A/cjg3P+2/v\nALG/bX6DTSRxfqMLV8YOWhvCv6htqpPPW/G0ek2Bl9f08OzadbyTW01h/GtsM2vZlt5CJBBlUssu\nPHLrnnzu9H341eVTiPUG2e/dCS67eh3f/dGbgwqoRKJU02n8eJg5E3bZxR6/++Xloy6gjDG8sOkF\nLrr/Io685khuWXnL6C7AJ6RzaboT3azrWUc8E6cj3MHsCbPZbeJuzJs0j9/+5LfFekvjIuN2yHpL\nYxX9P82/qG2UWozVPVG/AM4BzjXGXFOl/XvAhcA3jDGXDDDPlcBnsOF7840x6z1trdiMf7OAI4wx\njznn/wW4FPg/xpjbPf3vRfdE7VBobQj/orYpxxgbsrd+Y4IN3b1s3NKLCccIRGMUJE1bqIO2/8/e\neYe3WZ3/+35lay9LllecHWhYBcpOKYQNKSM0EKDslS+jaUN/QCm0hSRQKC1lJdCRAGGlUEbYMy17\ntIxQCmWGDGzHQ5asvXV+fxxLjhPLiW3Zlp1zX5cu2Trve855dSxZHz3P+Tzldsow8OqLdh74ayUb\nGqWX+HY7xDn7Yi977hftdb+SEF2Rp7IyGW2y2cDplD/nzh2sWkQ90R5t5+kvn+axzx7jy/auxIRZ\nO8zihsNu6OXM0UM6m5bpeskwADaDLX9zGp3Yjfb8Xi/1uild1NqULmptSpNS2BM1UiNRuUiTs0B7\n7vEt1YrKta/aWEABdBpS5ETSPgCapm0PXAfcs7GAGiiaphW8HXTQQWiaVvCbkPnz56v2QWq/5ppr\nSnp+23J7rm5Hqc5vqNsv+ukVvPXpGv711Tes8a8lZV2P3hrmuQce5NyDjuDpZcv54E0XPzltAn+4\npo4NjQbGTkhywKGX8vXnZj777409Cqj7/7qIo/aeyt2LF9HSIiNQLhfUdUaeVixfxN6Tp7L494vy\n52xci2jRjYuY6pnKohsXbd55P9tTmRQrv1nJxc9ezP5n7s8Nh93Al49+SYWpgjN2PYMnTn4iL6AG\nY/xSaBdCEE6GueHaG9i5emf+ctNfqLJUMbFiIpMqJrGdezvGO8dzy+9uoUxXlv/72bTeTan8/ar2\n+T3WIiql+W3L7dOnTy/p+Y329kK3UmCkRqLOA5YAfxFCXNRD+wvIPVGHCSEK7onSNO0c4C7geSHE\n0T20/x64FLhSCPF7TdNmAit6mZpApgcCHC+EeGoL16EiUQqFos8IIfCFI3zTFGBDe4gWf4RQIoTF\nlsFts2Itt1Ouk8YAH71nZtmdHj7/xAxAdW2K0+e0c+gPg5SV9zaGdNqLRECvl1Enmw0qKqRhxFD/\nD/uy/Use/+xxnvriKdpj7QCUaWUcOOFAZu04i4MmHoShbBgq9Q4hiXSCcDJMJBXBUGaQESe9DZtR\nRp0sekvJfLhQKBSKwaQUIlG9/AstaXLC6IhNGzotzvdH2pYXdNfr5B9I4bNTgfZdOu/XdN6vBZYW\nOPYYoAa5hyrYeaxCoVAUjWQmiS8SYF1zkA3eCC0dIfzhKG6Hicl1FZj1lvyxX3xqYtmdlaz6tywW\nW+FOc8o5Pn44K4DBUPiLm6yASFgKKIMBKiulaHJWgG2Y6s6ms2nOefIcvFHp8TPFNYVZO87iuKnH\nUW2tHp5JDRGZbCafrpcVWWwGG3W2OpmuZ3JiN9iV7bhCoVAMAyMyEgXdok3zhBCLN3r8ZuAS4E9C\niJ90PlYOTAFSm+5X0jTtCeBY4FIhxK0bPX4E8DzgByYJIUJbmI/aE6VQKIpOVmQJJUIE4kEavSEa\n28K0dISIhjXcdjs1Lhv6jTzE1642cN+fK3n7VTsAVluGE8/wc/wpfsyWXsRTtivyZDCCw94VebJY\nCp42ZCz+92Laom2csOMJfLf6u6M64iKEIJqKEk6GiafjWPQW7AY7VoMVh9GBw+jYpt0HFQqFohQi\nUSNZRE0G3kI67D0FfIasC3UQ8DmwvxDC33nsBGQ0aa0QYvIm/dR39jMO+CfS6nwyMBPp2HeyEOKJ\nrZiPElEKhaJoxFIxgokgwUSQFn+YRm8YXyBOKmrFYbLjqTCi36iUT3NjOQ8sqeQfzzkQQsNozDLz\n5A5mn+nD7swWHCeblS570agskJuzKK+okMVyFUNHMpPMR530Oj02gw2rwYrdYMdpcmLVW0e1eFQo\nFIqtpRRE1EhN50MI8Y2maXsBC4GjgBnABuAWYKEQYlP7c0FXDaiN+2nUNG1P4Gpk8dwDkOl4TwK/\nE0K835dp9flCFAqFopNMNkMwESSQCBBOhmkPhWlsC5OI6UlH7Jipor5ah3GjIITPW8bf7q7k+RVO\n0mmNsjLBjB918OPz2qn0ZAqPlemKPJnNUFXVJZ5MpiG4WAUg1zxX0ymTzeTT9awGK06jE4fRodL1\nFAqFogQZsZGo0YCKRJU28+fPL+gaoxheRtPa5FK3AokAoUSIcDJMRyxMuz9FJmYjHbGRSRlwOGRa\nXS4QEQrqeOQ+N08+VEEioUPTBIfMCHH6nHbqxqYKjpdOS/EUjcq9TjZbl3gy9jFDbP/v7o93g3eL\nx3nqPLz137cAmZ74XuN7fNj8IRfttZkv0DaBEIJYOkY4GSaWimHWmzdL1zOVF1/JjqbXzWhDrU3p\notamNCmFSJQSUcOIElGljaoNUbqMhrVJZVIEEgGCiSCRpHTXCyUjpKIm0lEbyYiFaFTDYgG7A3Sd\n/ybiMY0nHnLxyH0uImEZofj+QWHOvMDLxO0KF8lNpWTaXiKxuXgy9NPUbqpnKszf5MH59PjYP775\nB098/gQrPl9BQ7ABgJdOf4kJFRP6N/gIJJeuF0lGKNOV5YWT3WDHYXRgM9gGNV1vNLxuRitqbUoX\ntTalSSmIqBGbzqdQDDY91e1QlAYjdW2EEISSIQLxQH7vSygpPWu0lA0tXE8qXE4wCHqDTLEr73yX\nTiY1nl/h5KG73fh98sHd94py9k+87LBLvOCYqRQEQ5CIdxlFOByySG5/xVOv9FxShUPvOzT/c52t\njuN3OB6LvgQcKwaZrMhKkZwMkclmsOqt1NhqsBls+ahTuW5o/hWP1NfNtoBam9JFrY2iECoSNYyo\nSJRCsW0QT8cJxAOEkiHCiTChVIh4Srqu6YWdSMBEKASBzp2cTmdXal0mA/983sH9f62kdYN0kpi6\nc4yzL/byvX1iBcdMpSAYhGSyq8ZTTjxtbEgxEHqMRPXEfDBca+CIyUcwa8dZ7Dd2v1G/zyeWkul6\n0VQUk96EXd89Xc+sV64dCoVC0V9UJEqhUChGKTmTiGAimI86hZPhfBpXhb6KDr+OtiAEgpBKkt/3\nBLLY7Vuv2Ljvz5WsXyMV1fhJCc6+2Mu06ZGCxW6TSZm2l0rJtD23Wwonp7MrqjUcvHXuWziMjuGb\nwBCQyqTy66zTdNiNdtxmN3ZjV7qeTtMN9zQVCoVCUQSUiFIoFIoiEk1FZdQpESKckh+ok5kkNoON\nGlsN5ZqBjg5o65BiJxyWUSKXS+57EgJW/dvCPXd4+OozaS5QMybFGRd4OfjIEGUFAjiJhOwvnZb9\nVVZK4eRwDK94yjFaBVRWZImmooQSIVKZlFxna023qJO+rEihP4VCoVCUDCXwr1WhUChGNqlMKm9N\nHklG8tEIU7lJ1vrRWwGNUAg6OmSaXTAoU/ZqasgLo8/+a+KeOzx8/IEMR7kq05x6XjtHHR8omIIX\nj0vxlMlIwWS1domnQoJLMXDi6TihREim65WbcBgdWPVWHCYpnLaF/V4KhUKxLaNElEKhUPQDIQTh\nZDhvTR5JSYe9LFlsehv1jvq8YUA0Cj6fjDp1dIBOJyNFOWOHNV8buPdPHt593QaAzZ5h9pk+Zp7c\ngcnc857JWEyKp2xWCqbcniclngaPdDadNwPR0LAb7LjMrry7nt1oV+l6CoVCsY2g3u0VigKouhCl\ny3CuTSKdoDXSyjf+b/jG/w1rO9bSEGwgno7jNrsZ5xiHy+yiXFdOMgktLdDQAM3N4PdLkVNVJQVU\nU4OeG39Ty8WnTuDd120YTVlOOaedZU+u4eSz/T0KqGhU9hkMSovy+noYOxbGjZMpgcMuoF4Z5vGL\nTE4sN4ebaQw2kslmqLZUM7FiIpNck9jOvR3jnONwmpwlL6DUe1rpotamdFFroyiEcucbRpQ7X2mj\nakOULkO9NlmR7WYSkSuKmzMPsOqt3dzmMhkZcero3PcUjXY55GkatLeVsfyuSl54wkkmo1FeLvjh\nCR38+BwfrsrMZuMLISNPwaCMYuUiT06nFFKDVVookU6wpmMNO3h26LG9L3WivvB+UezpDSqJdIJQ\nMkQkGcFYbsRmsGHT2/ImEVaDdbin2GfUe1rpotamdFFrU5oodz6FooRRtSFKl6Fam2gqKsVTPJg3\niUikE3mTCENZ90JLQkih4/dL8RQKgckk9z3pdBDs0PH3+9w89fcKkgkdOp3g8GMCnDanndox6c3G\nF0IKsFBImkO4XGC1QYWzS5ANBoF4gIc+eYj7Pr4PnabjH2f+Y7NrBfDUefDO927ewfzNjxsJ5NL1\nwskwQgjsRjv1jvp8TSe7wT6irdnVe1rpotamdFFroyiEikQNIyoSpVCUHulsWppExAP5IqmRZARD\nuSFvEqH1oF4iEfD5IdxpHlFe3lWTKRrRWPE3F4894CIakR/Cf3BIiDMuaGfC5ORmfQkh+wuH5fm5\nKFZFhTSOGCzxtCG0gXv/cy8Pf/ow0VQUgJ2qduL2GbczzjFucAYdZoQQRFIRIskI8XQcq94q13kj\ndz1juXG4p6lQKBSKjSiFSJQSUcOIElEKRWmQ+yCdK4ibE0+ZbEamcRlsBW2qk0lpGhEMymK56bQU\nOyYTJBMazz7m5KFlbgJ+GfjfY78IZ1/k5Ts7JTbrKysgEpbiyWCQqXo2GzgrwDaI2WNfeL/g7lV3\n88xXz5DOyojY/uP25/w9zmfa2Gk9isaRTjKTzBuCGMq6BLLdaMdpdGLRW0bldSsUCsVoQImobRwl\nohSK4SWZSRKIBwgmgnnhFE1FMevN2Ay2Xm2q02mZtpcTT/G4FD1WK2Qz8PKzDh5cUklbixRfO3w3\nxjk/8bLbnrHN+soKGcGKRMBgBIe9a8+TdZDEkxCC95reY+mHS3lt3WsA6DQdM7abwfl7nM9OVTsN\nzsDDSCabyafrZUU2L5Bz6XoOo2NEp+spFArFtoISUds4SkQpFENPVmQJJUIEEoH8B+pQIoSmSctq\nm8HW6wdpIaRoytV7CofBYpECCuDNf9q4788eGtbJPUQTt0tw9kVe9j0gslkaXjYr9ztFIjJyZbfL\nm9Mp+xwsvvF/wxUrr+Djlo8BMJWbmL3TbM7a/axRl7YnhCCaihJOhomn41j0lrxwykWdVLqeQqFQ\njCxKQUQpYwmFQrFNEEvFujns5T5UWw1Wqq3VW/VBOhwBv6+rWK5eDx6P3P/0wTsW7rnTw+ovTADU\njU1y5gXtTD8ihG4T5+tMRoqvSATMZqiu7hJPZvNgXH13qixVfOP/BpfJxem7ns6p3z0Vt9k9+AMP\nIclMMr/Oep0em8FGlbUKu8GO0+QsuLdNoVAoFIqtobSLWigUw4iqDVG6bO3aZLIZ/DE/azvWstq/\nmjX+NazrWEcwEcRqsDLOOQ6PxbNFAZVIQFMTNDbAhg0yeuRyyYK5X/7PxOUXjOXX88ay+gsTlVVp\nfnplC0seWcvBR3UXUDnr85YWGdGqqZF1nsaNg9raoRFQAHajnSXHLuGVs15h7j5ziyqgFt24qGh9\n9ZVMNkMwEaQp1ERLuAUNjVpbLRMqJuRrOuXc9rZFAaXe00oXtTali1obRSFUOt8wotL5ShtVG6J0\n6W1tculbgUQgX88pnAyTzqaxGqTzWk923T2RSnXf95RMdu17Wv2FkWV/quS9t2wA2J0ZTj7Lx7Gz\nOzCaus8tnZbCKx6XaXo2m+zH5ZIGEqOJqZ6pQ14TKpeuF0vF5H42vQ2b0ZaPOpnKTUM6n1JFvaeV\nLmptShe1NqWJSudTKEoYVRuidOlpbVKZFIHERiYRnc5rpnITDqOjT25r2awUTbl6T+GwFE7VNbDh\nWz23X1/Jay85ADCZs8w61c8Jp/ux2rLd55TqEk82m4w82e3SvW+0iacccy+fOyTj5NL1IskIZboy\nbAYblebK/D6nbTXa1BvqPa10UWtTuqi1URRCRaKGERWJUigGhhCCUDJEIL6RSUQyBJA3DyjX9e27\nolCoSzwFg6A3yOK2vrZylt/l5sWnnWQzGnp9lmNODHDy2T4q3JlufaRSEAxBMtFV4ym352kwxJMQ\ngm/83zDFPaX4nZcQWZElkowQToZJZVL5NbYarDhNThxGR5/XW6FQKBQjj1KIRCkRNYwoEaVQ9I94\nOt7dmjwVIp6Szmt2o71f6VuxmKz3FOoslqtpMmIUjZTx8DI3zzzqJJXUodMJDj82yGnnt1Ndm+7W\nRzIpz08mu8ST0wkOhzShKDaZbIaXvnmJpR8u5bO2z3j5jJepd9QXf6BhJpaKEU6GiaaimPQmma63\nkbueWT9Em8kUCoVCURKUgohSX9kpFIoRQyaboSXSgj/mz0eeynRl2A12qixV6LS+e+Ukk933PaVS\nUvSIrI6H73Hx+HIXsajs98DDQpxxgZdxE1Pd+kgkpHhKp6VwqqzsEk/lg/AuG0/Hefyzx7l71d18\nG/wWAJfJxZqONaNGRKUyKbnGqTA6dNgMNtxmNzaDDadJpuv1Z70VCoVCoSgGKhI1jKhIlEKx9URT\nUZrDzXijXoLxIDajrU8mEZuSyXSv9xSNSgGkL9d49rEKHl7mJhiQ9aL2/n6Esy72st3URLc+Egl5\nbiYj0/U2jjyVDULNVn/Mz/JPlvPAxw/gi/kAGOcYx7nfO5dZO84a8QYKWZHNm0Qk00msBit2gx2L\nwYLTKNP19GWDENJTKBQKxYiiFCJRSkQNI0pEKRRbRgiBN+qlLdqGN+pFCIHH4un3h2khuvY9BYPy\nZ5NJuub941kny+9y422Vfe+8e5RzLm5nl+/FuvURj8tzs1kpmKzWwRVPDcEGln20jEf/9yixtJzL\nzlU7M2fPORwx+YheiwOPBOLpeN4kwlRuki6KehsOkyNvCqJQKBQKRY5SEFEqF0KhKICqDTH8JDNJ\n1gfW0xBsoCnYhKncRJ29jj/f9Od+9ReNQmOjvDU1STHkdsNH/7Zz0Y8ncvsNNXhb9Uz5Tpxrb23g\npr82dBNQ0ais8RQIyKhTfb28jR8v7cqLLaAiyQiXvnQpR9x/BPd/fD+xdIwDxh/Avcffy2MnPcaM\n7WaUnIDa2jpR6WyajngHDcEGvFEv5bpy6h31TKiYwBTXFLar3I5aW60SUEVEvaeVLmptShe1NopC\nqEjUMKIiUaWNqg0xvATiAZrDzbRH24llYlRbqvNFcftaiyiZlKYRwaC85fY9/fcDK8v+5GHNV7Lf\n+vFJzrzAywGHhfNFcoWQphPBIOh08jybTd7b7XQrpltshBAc//DxfNX+FUd/52jO+9557ODZYfAG\nLAK9rY0QgkhKuusl0gmseit2ox2rwYrDKKNO/U3PVGwZ9Z5Wuqi1KV3U2pQmpRCJUsYSCkUBVG2I\n4SFnHuGL+miNtmIsM1Jvr+9mIrC1tYgyGZm2Fwh07Xuy26FhrZnf/8rD/z6Wrm6e6hSnzWnniGOC\nlHW+Kwohjw+FZITJ5epK27PbpXvfYKNpGtcdfB1us3vEGEb0tDaJdCJvBGIsN2Iz2Ki11mI32vtc\nw0vRf9R7Wumi1qZ0UWujKISKRA0jKhKlUHQnZx7RHm0nEA/gtkg3tr4iRHfTiFBI7nlqaTRy3589\nfPCuFQBnRZqTz/FxzAkBDEaRPzcSkQV2y8ulYLLaZK0om21oxNNoIJ1NS/v5ZAghRN6S3Gaw4TA6\nsBvsJZeKqFAoFIqRQSlEopSIGkaUiFIoJEII2mPttEZaB2weEY50FsvttCzX6yHg07P8Lg9v/sMO\ngMWa4YTT/PzoVD8Wq3z9ZQVEwlJA6fWd4skKFS6wWpR42hqEEHl3vXi6s26XoXu6Xi4lU6FQKBSK\n/qJE1DaOElEKhTSPyEWf2qPt2I12KkwVfU7vSiS6iuUGAjKVLxkv55F7K1n5rINsVsNgzHLs7A5O\nOsuHsyILdImncBgMRnDkxFOFvC82TaEm6mx1oy59LZwM0xHvoEwrk/ucOvc7OYwOrHrrqLtehUKh\nUAwfSkRt4ygRpdjWCcQDtIRbaI+1E01HqbJU9bnWUTrdte8pEJBiSmTKePIhN8897iSV0qEr4Nkg\nJQAAIABJREFUExw1M8Cp5/nwVKcBaU8e7hRPJlNXnaeKCpn6V2w+bf2Uu1bdxfNfP89fjvkLB044\nsPiDDAOxVAx/3I8QArfZjcPooMJUgcPoUOl6CoVCoRgUSkFEKWMJhUIx5GxqHmEoM2xmHrElstmu\nfU+hkBRDIqvjxSddPPmQi3hMh6YJDj4yyBkXtDNmXEqOnZHHRqNSPFVXSwHldILZXNzrFELw9rdv\ns3TVUt7+9m0AynXlfNn+5YgXUYl0An/cTyqTwmV2UWGqoNJcicPoUFEnhUKhUIx6VJ0ohaIAqjbE\n4BBNRVkXWEdjsJHmcDMVpgqqrdVbFFDr16xn/uU3sMfE/Znqmcqek/bnmstu4ONV6wmFNF57wcXP\nzpzEw/dUEo/p2PcHYe54cB1XXNfMmHEpMhkpuFpapHlEdbWs8TRuHNTWFldApbNpnvnyGX708I84\n96lzefvbt7HoLZyz+zmsPGMl5+9xfvEGG2KSmSStkVZawi1Y9BbGO8czsWIikyom4TQ5WbBgwXBP\nUVEA9Z5Wuqi1KV3U2igKodL5hhGVzlfaqNoQxWVj84j2aDsZkaHKUrVV5hGvrXyNeedcSSo1h3T6\nfGA74GvKypaiaUswWZYRDh4DwHf3iHLOxV522i0OyHS/UEjWerJaZcqe3S7T9oxF9jiIpqI89r/H\nuOeje2gMNQLgsXg4c9czOWWXU3CanMUdcAhJZ9ME4gEiqQgOowOn0Ynb7MZtdndL21Ovm9JFrU3p\notamdFFrU5qodD6FooRRtSGKRyqTYkN4A76oD2/U2yfziPVr1jPvnCuJxZ4GpnU+eg0whUzmBuA4\nwsHjmDDlNf7vEgd77BtF02RB3VAI4nEpnGpru8STYRDqud753p3c+9G9dCQ6AJhYMZHzvnceM6fO\nHNGOdFmRpSPeQSgRwm6wU2+vx212U2mppFy3+b8Q9bopXdTalC5qbUoXtTaKQqhI1DCiIlGKbYFg\nIkhLuAVv1Es0FaXK2jfziPmX38Aj99eSTt9Q8Bid7pf8cFYrc6/4JakUBEOQTHRGnuzScc/pHBzx\nlOOKl6/giS+eYLea3ZizxxwOmXTIiDZWEEIQTAQJJAKYy81UmCpwmV14LB4MZYP4RCoUCoVCsQVK\nIRKlRNQwokSUYjSTyWbyqXtt0Tb0ZXo8Fk+fzCMA9piwP5HIu8CUXo5ajcU6jSWPvUkyKSNPNhs4\nHFI86ftebqrPrO1YizfqZc+6PUe8sUI4GcYf82MoM+AyuXCanH0WvwqFQqFQDBalIKJUOp9CoSg6\nsVRMpu/FfHTEOnBb3NgMtj71kc2C1wvRqA+YsIWjxxOL+jAaobKySzyVD+E73MSKiUysmDh0Aw4C\n0VQUf8yPTtNRZanCaXLisXiwGgahYJZCoVAoFCMYJaIUCkXRyJlHtEXa8Ea9ZESGOnvdVplHbEw6\nLV30OjrAaHITj62j90jUeswWN/X1UkANpXgaDcTTcfwxPxmRwWXqtCu3SLtyhUKhUCgUm6M+aigU\niqKwqXmEzWij2lTd59S2eFwKKL8f1q3RU1b2Y+Au4PqC55SXL2HmScfgdg/sGjYmkoygaRoW/SBU\n3i0Rkpkk/pifZCaJy+zKO+5tremHQqFQKBTbKqpOlEJRAFUbYusJJoKs7VhLU7CJ9lg7VdYq3GZ3\nnz+Ih0LQ2AStrfDZxyZ++4txRMLz0LQlwDsbHTl/o5/fQa9fyrkXn1qEK4H2aDu3vnsrB997MA/+\n98Gi9FlqpLNp2iJtNIeaMZWbGO8czwTnBCa5JuEyuwYkoNTrpnRRa1O6qLUpXdTaKAoxoo0lNE2r\nB64FjgQqgQ3AE8ACIURHH/s6FJgL7Ae4gHbgv8CtQogXNjpuO+AE4Ahge6AG8APvdh77ah/GVMYS\nJYyqDbFlsiJLS7gln8KnL9NTaa7ssyudENDeDj6fvP/4PRuLb6wlmdCxx34RZhz/EDfNv4J06nwy\nmTnk6kSV65egL1/KbffcwPTDpg/oWtZ1rOPuj+5mxWcrSGQSABw55Uhun3H7gPotJTLZDIFEgFAi\nhMPoyDvu9WfNCqFeN6WLWpvSRa1N6aLWpjRRxhIDQNO0ycivpj1I4fQFsA8wDzhS07T9hRD+rezr\n98BlwLfAk4AXqAL2BA4CXtjo8GuBk4D/Ac8CPmAqcBxwnKZpPxNCLB7o9SmGH1UbondiqRjN4Wba\nY+34Y37cZjd2o73P/WQyMvLk98vbay+6uO9PHoTQOGpmgLm/bCGROICFtz3E6y8t59UXpxEJa9js\n05h50jGcfeFDjJ80vt/X8XHLxyz9cCkvrX4JgfxHecikQzh/j/PZs27PfvdbSmRFVtqVxwPYDDbq\nHfW4TNKuvK/71baEet2ULmptShe1NqWLWhtFIUZsJErTtBeBw4CfCiHu3OjxPwI/B/4shLh4K/qZ\nA/wFuAe4QAiR3qS9TAiR2ej3M4H/CCH+s8lxBwArgSwwUQjRshVjq0iUYsQhhMAX89Eaac2bR/S3\ndlAyKfc/+Xwyle+x+6p57vEKAM75SRsnneUnHIZIBDweqKqSxXKLcQ2vr3+dpR8u5d+N/wZAr9Nz\n3NTjOO975zHF3ZuJxchBCEEoGSIQD2AsN8rIU6d4GskFgBUKhUKxbVMKkagRKaI6o1BfA2uEEFM2\nabMh0/oAqoUQsV76MSCjT1Fg+00FVD/mlRN2JwohVmzF8UpEKUYUqUyK5nAzvpg0j7AarLhM/dtD\nE45Aa6eAioQ1ltxSx3tv2dDrs1w6v4WDjggRCEijCY8HamrA3vdA12as/GYlt/3rNr5s/xIAm8HG\nKbucwpm7nkmNrWbgA5QI4WQYf9yPXqfP13ryWDyj2ihDoVAoFNsGpSCiRmo638Gd9y9t2iCECGua\n9hZwOHJ/0yu99HM4Mm3vZkBomnY0sDMQB/4thHi3j/NKdd4PSIwpFKVIKBGS6XvRdiKpCB6LB7Pe\n3K++/H5ZA6q9HcLBMm5eUM/qL0zYnRmuuamRnXeL4/PJVL/qaqiuAVuRShWtD6zny/YvqbZWc9Zu\nZ3Hyzif3Kw2xVImlYvjjMpPZY/bkxVNf63QpFAqFQqEozEgVUVMBAXxZoP0rpED6Dr2LqL07+0kC\nq4BdOn8H0DRNex0ZVfJuaUKapk0ADkVGtV7fimtQKEYEWZHNp+61Rdoo15Uzxj6mX0YE2Sy0tUkR\n5fOBr83A766qp61FT93YJNfe2kj9+BQ+nzy+ulpGoMz902o9ctLOJ+E0Ojl26rH9SkEsVRLpBP64\nn1QmhcvcWevJLGs9KbtyhUKhUCiKy0gVUc7O+0CB9tzjW9o9UQ1owOXAp8D+wH+AScBNSNe/vwOH\n9NZJZ1rgg4AB+JUQotC8FIoRRTwdZ0NoA76YD1/M12/zCJD7n3IGEqEQrF9t4cZf1xGNlLHjd2Nc\n88cmHM4MXi+UlckUvtpaMBZ5647NYOOEnU4obqfDSDKTpCPeQSKdoMJUgcPmoNJS2e80S4VCoVAo\nFFtmW68Tlbv+FHCsEOIdIURUCPEpMAtoAKZrmrZvoQ40TdMBDwDTgIeEEDcP9qQVQ8O2XhuiPdrO\nGv8aGkINBBNB6ux1/RZQ0Sg0ddZ/ikRg1bsOFl5WTzRSxgGHhfjdnQ3YHRna2sBgkBGoujopoPb/\n7v5M9Uzd4m3/7+5f5GegtEln03ijXprDzRjKDIx1jGW8czyTXZP7VaOrWGzrr5tSRq1N6aLWpnRR\na6MoxEgVUblIj7NAe+7xLdWKyrWvEkJ8u3FDpyHFi52/7tPTyZ0C6kHgROBh4IwtjNcjmqYVvB10\n0EFomlbwRTx//nzVPkjtCxYsKOn5DVZ7KpPi28C3NAQbuOG6GzhwwoE89qfHekx9W3TjIqZ6prLo\nxkU99p9r/8OCRbS2yj1Ozz1Wye3X15LJaOy06xW8sdLBQ8tup60NLBYZgaqrk2Jq0Y2L8G7wwnRk\nfd3cjc77XGmo6cjj+jm/kdSeFVl8MR+NwUbuvvluDp9yOH+/4+9McU+hylrVLc1yOP5+FixYMKzj\nq/bC7RuvTSnOb1tu33RtSm1+23J7T2tTSvMb7e2FbqXASHXnOw9YAvxFCHFRD+0vIPdEHSaEKLgn\nStO0c4C7gOeFEEf30P574FLgSiHE7zdpKweWIwXUA8BZoo9PpnLnK23mz59f8MU9WimmeYQQ0jzC\n55M3fbnG0ltreOVFB7oywU9+0crRswKkUvI4hwPcbrkHqmyj7VZTPVO7hFOOV+iyl8kxH77wftGv\nuY4EhBCy1lMigLncnN/31F97+cFiW3zdjBTU2pQuam1KF7U2pUkpuPONVBFVLIvz8cAaYL0QYlIP\n7c8h90WdIoR4ZKPH9cAjwLHAvUKIc/t5HUpEKUqCnswjPBZPv8wjANLprv1PgQDoNB1/uHoMn6yy\nYLZkuer6JvbeP0oiIQVWRYUUUNXVoNskPt6jiOqJ+aNXRIWTYfwxP4YyQ96uvMpahancNNxTUygU\nCoViyCkFEVU+XAMPBCHEN5qmvQQcrmnaXCHE4o2aFwJW4E85AdUZNZoCpIQQ32zUz3pN054GjtU0\n7RIhxK25Nk3TjkAKKD/wwkaPG4AVwFHAUiHEBYN2oQrFEFBM8wiQdZ1aW6U4isUgFdez4LJ6Gtcb\nqKxKs/CWRqZMTRCLQUeHFE9utyykWyIR+pIhkozgj/sp08qoslTl7cqthiL5vSsUCoVCoegXI1JE\ndXIx8BZwm6ZphwKfIetCHQR8Dvx6o2PrO9vXApM36ecnwO7AHzvrRK3qPGYmst7T+UKI0EbH/wWY\nAbQBGzRNu6aHub0qhHhtIBenUAwFvpiP1nArbbE20pk0dfa6AaWGhULSwtznk+l87S0mFl42hkBH\nOZO2T7DwlkaqatJEozJCVVkpbx5PES9qFBBPx/HH/GREBrfJjdPkpNIi7coVCoVCoVAMPyNWRHVG\no/ZCRp6OQgqbDcAtwMIebMYFXTWgNu6nUdO0PYGrgeOAA4Ag8CTwOyHE+5ucMrGzHw/wm0LTA5SI\nUpQs6Ww6H33yRr1YDVaqLdX93qwphBRO7e3yZjbDx+/b+MM1tSQTOvbcL8JVN2zAassSCkmHPo9H\nRp9criJf3AgmmUnij/lJZpK4zC6cRidus5sKU0XJbKRVKBQKhUIxgkUUSAEEnLcVx60DCm7uEEK0\nA/M6b1vqa9Pt7ArFiCJnHuGL+QglQ3gsHix6S7/7y2S6Cuj6/dIg4vnHXdy1yIMQGjOO7+AnV7RS\nXi6jT7GYFE/V1fLY3ljXsa7f8xpJpDIpOuIdxFIxnCYntbZa3GY3LrMLnTZSTVQVCoVCoRi9qP/O\nCkUBRpsbT1ZkaQm3sC6wjsZQI8lMknp7/YAEVDIJTRvkHqiODqhwwj2Lqll6exVCaJw7t42fXdVK\nWZkUWIkEVNfIIrpbElAA179xfc8NBT03RxaZbAZfzEdTqIlyXTnjnOOYUDGBya7JVFoqR6SAGm2v\nm9GEWpvSRa1N6aLWRlGIEenON1pQ7nyljaZpo2Zt4ul43rrcH/dTYaoY8P6aSESKp3YfZNJgMWvc\n+Js63nvLht6Q5bJrmpl+RDif6ieE3P9UWyvrQW0NrZFWDphwwObufPPp8bGR4s6XFVmCiSDBeBCr\nwYrT5MRlcuGxeNCX6Yd7egNiNL1uRhtqbUoXtTali1qb0kS58ykUJcw11/TkGTLyyJlHeGNeUpkU\ntbbaAdcV8vvl3ievF/R60FHGFRfVs/oLE3ZnhmtuamSX3eNkBfjaQdNBlUcKKFMfXLmrrdV46jx4\n529eSHdTEeWpK313CiEEoWSIQDyAsdxInb0uX+vJWG4c7ukVhdHyuhmNqLUpXdTalC5qbRSFUJGo\nYURFohSDSTqblnufoj7aom1Y9BbcZveADAqy2a79Tz4f2GzgbTHwm3n1eFv1jBmX5NpbG6kfn8of\nazRKE4maGjCUTk3YISecDOOP+9Hr9PlaTwPdj6ZQKBQKxbbIqIpEaZq2hxDiw2L1p1Ao+k84GaY5\n1Ex7rL0o5hEAqRS0tMi9T8GgdNX79CMLv/1lHdFIGTvtGuOaPzbirMiSTssolcUC7kqorZERq22R\nWCqGL+ZD0zQ8Zk9ePNkMtuGemkKhUCgUin5StEiUpmlZ4D1kHaWHhBDRonQ8ilGRKEWxyYosbZE2\nvFEvbdE2yrQyPBYPZbqC5pRbRSzWuf+pXZpDVFbCP55zcPsNNWQzGgceFuKy+c0YjIJUSh5ns8ki\nurW1UDaw4UckiXQCf9xPKpPCZXZRYaqg0ixrPSm7coVCoVAo+k8pRKKKKaKeRtZr0gEh4H7gr0KI\n/xZlgFGIElGKYpJIJ9gQlrWffDFfUcwjQNqSe71SGOl04KyAB/5SyUP3VAJw0pk+zv6JF51OuvX5\nfNJ5z+2WKXy6kWcwNyCSmSQd8Q4S6UR+DSotlbhMLiWeFAqFQqEoAqNKRAFomjYWOB84FxiLLDr7\nLjI69bAQIlG0wUYBSkQpioU/5qc10kpbtI1kJkm1tXrA5hFCSPGUM5Ewm8Fs1rh5YQ2vvuhAVyaY\n+4tWfjhL1rWOx6WAcrvlrboaCmkGf8yPyzy6quyms2k64h1EU1EcRke+UK7b7B5wJFAx+lECW6FQ\nKLb+M3EpiKiifkcshGgQQswHJgIzgeeAfYB7gCZN027RNG3HYo6pUAwWI6E2RDqbpiHYwLeBb2kI\nNlCmlVFvrx+wgEqnYUNn/ae2NhlZ0oSOq+bW8+qLDsyWLAtvbswLqGhU7pXyeOStNwG14rMVHHLf\nIbzT8E6/57foxkX9PrfYZEUWX8xHY7ARHTrq7fVMcE5ginsKVdaqbU5AjYTXjUKhUCgUA2XQ3fk6\no1PnARcC1Z0PvwEsFkI8OqiDlzgqElXalHptiMEwjwC556m1VUaVolG5/6mtRc9v5tXTuN6ApzrF\nwlsamfydpJxHWN4qK6WAcrt77jeZSfK7N3/Hg/99EIDz9zify79/eb/mONUzddhrQgkhCCaCBBIB\nzOXm/L4nj8UzYBE7kin1102pstG3qsM8E4VCoRh6+voeWAqRqKGoE7UTsCtQCWiAFzgAOEDTtI+A\nE4QQa4dgHgpFnyjV2hBCCFojrXnzCJ2mY4x9DOW6gb+cw+EuAZXNyojS55+YWHDpGAId5UzaPsHC\nWxqpqkkD0qUvGu2KPjmdPffbGmll3gvz+HDDh+h1eq6Zfg2zd57d73nOvXxuv88tBuFkGH/Mj6Hc\nQK2tFqfRSZW1ClN5H4pgjVJK9XWjUCgUCkUxGZRIlKZp1ch9UXOQqX0ALwN/Ap7ufOxy4P+AF4UQ\nPyz6JEYAKhKl6Cubmkc4jU6cpgLKpQ8IIfc+5QwkTCYpiN78p43fX11LKqljr2kRrrx+A1ZbFpDp\ne4kEVFVJAwlbAcfuDzd8yM+e/xlt0TZqrDUsmrGI3Wp3G/Cch4NIMoI/7qdMK+tW68lqsA731BQj\nHBWJUigU2zIjMRJVbGOJQ4ELkPuh9IAPWAb8SQixuofj7wJOEkLYizaJEYQSUYq+kDOP8Ea9JDKJ\nophHAGQyXQV0/X65/8ligUcfcHHX7VUAzPhRB3N/0UpZuRRcPj9kM11FdK09aAghBH/75G9c/8b1\npLIp9h6zN7cedSsei2fAcx5q4uk4/pifjMjgNrlxmpxUWiqL4n6oUIASUQqFYttmJIqoYhbb/QqY\njEzZew+4E+nIF+/ltK8A9RWuQtEL6WyalnAL7dF22qJtmPVm6u31RXHzSiahpRX8PpnK53ZDeRks\nvrGaZx+rAOC8n7Zx4hl+NA2yAnzt0jSiuloKKLN5834T6QTzX53P458/DsBZu53F5d+/HH3ZyKq4\nm8wk8cf8JDNJXGZX3nGvwlSh3NQUCoVCodiGKWadqCjwN+BOIcQHW3nOOGCyEOK1okxihKEiUYot\nEUlG2BDakDePqDRXFi11LBKREaj2dkilZFQpEde44Vd1vPeWDb0hy+Xzmznw8DAg90h5vaDXSxOJ\nujow9BAIawo1Mfe5uXza9immchPXHXwdx049tihzHipSmRQd8Q5iqRhOk5MKUwVusxuX2YVO28YK\nXymGBBWJUigU2zLbdCQKGCOE6OjLCUKIb4FvizgHhWJUIISgLdpGW6QNb9SLpmlFM4+ArtpP7e1Q\nVi6jSu1t5Vzz8zGs/tKEw5nhmj82svNuMpCcS/mzWMBdCTXVPQsogBWfr+DTtk8Z6xjLHT+8gx08\nOxRlzkNBJpshkAgQSoRwGB2Mc47DZXZRaa7c5qzKFQqFQqFQFKZoX6n2VUApFKXOcNW7SaQTrAus\noyHYwIbwBix6C7W22qIIqGxWuu+1tMh7sxkq3bDmawOXnDOO1V+aGDMuyS13r88LqFRKCiirVUar\n6moLCyiAC/e8kLl7z+Wxkx4bNAFV7DpRWZGlI95BY7ARIQT1jnrGO8cz2TWZamu1ElB9QNWJUigU\nCsW2QDHT+S5EOu4dIIRo6qG9HngduF4IcVdRBh3hqHS+0mY46t10xDtoCbcU3TwCpBhqbZVRqGAQ\nXC7pwvfBuxZ++8s6opEydtotxjU3NeKskA58yaSMVjmdcr9UdTWUlYCeKFadKCEEoWSIjngHpnIT\nLlNXrSdjubEIM932UHWi+odK51MoFNsyIzGdr5jJ/acCG3oSUABCiEagATi9iGMqFIPGUNa7yWQz\nNAYb+TbwLQ3Bhnz6XrEEVCwGTU1SRIVCMqJkMsHzTzj4zSX1RCNlTD88yO/uaMgLqERCCqiKii4X\nvlIQUFCcOlHhZJiGUAPRVJQaaw3jneOZ5JpEvaNeCagBoOpEKbZlzj77bHQ6HQsXLixqvxMnTkSn\n0/H6668XtV+FQtF/irknairw6BaO+Rg4sYhjKhSDxlClJUWSEZrDzbTH2gkmgkU1jwAZdWprkwV0\nNQ2qawAB99xRycPLKgE46SwfZ1/sRdf5tUosJutAud3yVlUlzy0VfnrFT/t9biwVwxfzoWkaHrMn\nX+vJZihQ6ErRJ1Q6n2I4uPfee1m7di0/+tGP2HXXXYdtHpqmDYpz52D1q1Ao+k8xRZQT2NK+qCDg\nKuKYCsWIJWce4Y16aYu0Fd08QggZSfL55L3ZLNPykgmNPy6s4bWXHOjKBD+9opUZPwrkz4tEpPDy\neKQLX2VlUaYz7CTSCfxxP6lMCpdZpu1VmmWtJ/XhRKEY2SxbtozXX3+dSZMmDauIqqurY+rUqXg8\nxa2HN2XKFMxmMxaLpaj9KhSK/lNMEbUB2NI7165AWxHHVChGJMlMMm9d7ov5cBgdVJgqitZ/JtO1\n/6mjQ4oniwWCHToWXD6GTz+yYLZk+dXvmthrWjR/XigkRZTHI6NPrlHwlUcyk6Qj3kEinaDCVIHD\n5qDSUonL5FLiSaFQFJXrr7+e66+/vuj9rly5suh9KhSKgVFMEfUKcIamaT8QQry5aaOmaQcAM4AH\nijimQjHi2Ng8Ip6JU2OtKeoenERCCiifD6JRGUkyGKDpWz2/uaSexvUGPNUpFt7SyOTvJPPnBQIQ\nj0vxVF0NDkf3fr8NfMsY+5gR41SXzqbpiHcQSUZwmpxUWapwm924ze4Rcw0KhUKhUChKk2IaS9wI\nJIGVmqbdrGnaEZqm7dx5fwvwMpDoPE6h2OboyTyi3l5cE4NwBBobpYV5IiHFkMEA//uPiZ+fO47G\n9QYmbx/n1nu+zQsoIaTgSiahqhpq6zYXUC98/QLHPXQci99bXLS5DhZZkcUX89EYbESHjrGOsUxw\nTmCKewpV1ioloBSjjtWrV3PxxT/H4ahBpyvD4ajh4ot/zurVq0f9HO699150Oh2vvfYaQoi8sUPu\nNnny5M2OPeSQQwB48MEHmT59Oh6PB51Ox1NPPQVANpvl+eef54ILLmCvvfaitrYWo9FIfX09s2bN\n4pVXXik4n0LGEuvWrUOn01HW6c7zySefcMopp1BXV4fZbGbHHXfkuuuuI5VK9dhvIWOJTa/p6aef\n5uCDD8blcmG325k2bRoPPfRQr89hY2Mj5513HmPHjsVsNjNlyhT+3//7f3R0dGzWf1944403mDdv\nHvvttx/19fUYjUZqamqYMWMGjz322BbP9/l8XHPNNey11164XC6sVitTp07lxz/+MU8++WSP56TT\naf76179y2GGHUV1djclkYuLEiRx55JEsWbKEWCyWP/a1117b7G9kU3q7/tx6rl+/ns8++4yzzjqL\n8ePHYzAYmDVrVv64r776ioULF3LooYcyefJkzGYzLpeLadOmcfPNNxOPx3t9Hrb2mu6//350Oh1j\nxowhm80W7O/VV19Fp9Nhs9kIhUK9jq3onWLWifoCOAkplC4BnkcaSTwPzAPiwGwhxGfFGlOhGEyK\nuUE+moqyLrCOxlAjLeEWXGYXHosHnVa87zH8ftjQJAWUTidT8nQ6eH2ljSsuHkugo5y9pkW4acm3\neKrTQJeAEkIKrjF1YNvI0yKTzXDT2zcx74V5RFNR1gfWkxWF35yHip7qRAkhCMQDNAQbyGQzstZT\nxXimuKdQY6sp2l4zRe8oY4mh5fnnn2fXXfdj6VIzodDbCJEgFHqbpUvN7Lrrfjz//POjeg5ms5na\n2loMBgOapuF0Oqmtrc3fqqurezxv3rx5nHHGGbz99tsAlJd3vT989tlnHH300SxdupRVq1aRSCQw\nGo00Nzfz5JNPcuihh3LjjT1/H7w1BhAvv/wy++67L4888giJRIJ0Os2XX37J1Vdfzcknn9zvfq+7\n7jpmzpzJm2++iaZpRKNR/vWvf3Hqqady++2393jOxx9/zG677cY999zDhg0bMBgMtLS0cNttt7H3\n3nvj8/l6HbMQkUiE6dOns3jxYt577z0ikQgWiwWv18tLL73E7Nmzueiiiwqe/8YbbzB16lSuvfZa\nVq1aRTwex2KxsGbNGv7+9793Eyk5mpqa2Hvvvbnwwgt55ZVX8Pv92O12WlpaWLlyJReQK8T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jajN/iZPb+YsWe3XnJQXa0ZSWRlQU6OVrc3UeWqosZdQ44pB4vZQq4pt9UfMpWLKHpRc7P3GTRo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\nL2F/mIi/xqv3ioiIiIg0KRVRLvEfwdI/WChmec7Qyzi+781Y6xVPkQjUq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QECUiIiIiIhKBgigREREREZEIFESJiIiIiIhEoCBKREREREQkAgVRIiIiIiIiESiIEhER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"text/plain": [ "" ] }, "metadata": { "image/png": { "height": 277, "width": 424 } }, "output_type": "display_data" } ], "source": [ "### Validation Curves\n", "from sklearn.learning_curve import validation_curve\n", "\n", "pipe_rf.set_params(**{'rf__n_estimators': 100})\n", "\n", "model_validations = [\n", " ('logistic regression', pipe_lr, 'lr__C', [0.0001, 0.001, 0.01, 0.1, 1.0, 10.0, 100.0, 1000.0]),\n", " ('random forest', pipe_rf, 'rf__max_features', [0.1, 0.3, 0.5, 0.7, 0.9])\n", "]\n", "\n", "for label, model, param_name, param_range in model_validations:\n", " train_scores, test_scores = validation_curve(\n", " estimator=model, \n", " X=X_train, \n", " y=y_train, \n", " param_name=param_name, \n", " param_range=param_range,\n", " cv=5,\n", " n_jobs=1)\n", "\n", " train_mean = np.mean(train_scores, axis=1)\n", " train_std = np.std(train_scores, axis=1)\n", " test_mean = np.mean(test_scores, axis=1)\n", " test_std = np.std(test_scores, axis=1)\n", "\n", " plt.plot(param_range, train_mean, \n", " color='blue', marker='o', \n", " markersize=5, label='training accuracy')\n", "\n", " plt.fill_between(param_range, train_mean + train_std,\n", " train_mean - train_std, alpha=0.15,\n", " color='blue')\n", "\n", " plt.plot(param_range, test_mean, \n", " color='green', linestyle='--', \n", " marker='s', markersize=5, \n", " label='validation accuracy')\n", "\n", " plt.fill_between(param_range, \n", " test_mean + test_std,\n", " test_mean - test_std, \n", " alpha=0.15, color='green')\n", "\n", " plt.title(label)\n", " plt.grid()\n", " plt.xscale('log')\n", " plt.legend(loc='center right')\n", " plt.xlabel(param_name.split('__')[1])\n", " plt.ylabel('Accuracy')\n", " plt.tight_layout()\n", " plt.show()\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Final comparison\n", "\n", "Let's compare the scores of each model with our original parameters vs optimal for each model." ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "logistic_regression performance:\n", "\\__ with orig params {'lr__C': 100}: 0.658\n", "\\__ with optimal params {'lr__C': 1000}: 0.658\n", "random_forest performance:\n", "\\__ with orig params {'rf__max_features': 'sqrt', 'rf__n_estimators': 10}: 0.821\n", "\\__ with optimal params {'rf__max_features': 0.8, 'rf__n_estimators': 100}: 0.846\n", "kernel_svm performance:\n", "\\__ with orig params {'svm__gamma': 0.1, 'svm__C': 10.0}: 0.815\n", "\\__ with optimal params {'svm__gamma': 0.1, 'svm__C': 100.0}: 0.825\n" ] } ], "source": [ "from sklearn.metrics import accuracy_score\n", "\n", "X_test, y_test = extract_X_y(labeled_df_test)\n", "\n", "model_params = [\n", " ('logistic_regression', pipe_lr, \n", " {'lr__C': 100}, \n", " {'lr__C': 1000}), \n", " ('random_forest', pipe_rf, \n", " {'rf__n_estimators': 10, 'rf__max_features': 'sqrt'}, \n", " {'rf__n_estimators': 100, 'rf__max_features': 0.8}), \n", " ('kernel_svm', pipe_svm, \n", " {'svm__gamma': 0.10, 'svm__C': 10.0}, \n", " {'svm__gamma': 0.10, 'svm__C': 100.0})]\n", "\n", "for label, model, orig_params, optimal_params in model_params:\n", " print(\"{} performance:\".format(label))\n", " for desc, params in [('orig', orig_params), ('optimal', optimal_params)]:\n", " model.set_params(**params)\n", " model.fit(X_train, y_train)\n", " test_accuracy = accuracy_score(y_test, model.predict(X_test))\n", " print(\"\\__ with {} params {}: {:.3f}\".format(desc, params, test_accuracy))\n", " \n", " " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Preparing most promising tuned model for submission\n", "\n", "We were able to squeeze a little bit more performance out of our random forest and kernel SVM classifiers, and it was interesting to see how much performance varies by the parameters in the graphs. We happened to pick parameters before tuning that were pretty close to optima but for every model there were some very un-optimal parameters we could have picked too.\n", "\n", "Let's train our fine tuned Random Forest model on the entire kaggle training set and prepare another submission." ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "collapsed": false }, "outputs": [], "source": [ "unlabeled_df = pd.read_csv('test.csv')\n", "\n", "X, y = extract_X_y(labeled_df)\n", "X_submit = unlabeled_df.iloc[:, 1:]\n", "\n", "pipe_rf.set_params(**{'rf__n_estimators': 1000, 'rf__max_features': 0.8})\n", "\n", "pipe_rf.fit(X, y)\n", "\n", "submission_df = unlabeled_df[['Id']].copy()\n", "submission_df['Cover_Type'] = pipe_rf.predict(X_submit)\n", "submission_df.to_csv(\"forest-cover-type-submission-random_forest_estimators_1000_max_features_0.8.csv\", index=False)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\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", "
ModelUntuned Test AccuracyTuned Test Accuracy\n", "Untuned Kaggle ScoreKaggle Score
Logistic Regression0.6580.6580.56
Kernel SVM0.8150.8250.721430.73570
Random Forest0.820.850.717580.74463
\n", "\n", "### Actual best score 0.755 with 1000 tree forest\n", "\n", "Note that upon observing that performance continues improves with the number of estimators in the random forest model, I tried one more submission with 1000 estimators. This nearly made my laptop freeze and would have taken forever to run with k-fold cross validation so I just submitted, and got **0.75519**." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.4.4" } }, "nbformat": 4, "nbformat_minor": 0 }